From 782d84dcbec6bb9d9cc07f495ea240319b3b03ba Mon Sep 17 00:00:00 2001 From: zrguo <49157727+LarFii@users.noreply.github.com> Date: Thu, 10 Oct 2024 11:51:30 +0800 Subject: [PATCH 001/258] Update README.md --- README.md | 2 +- 1 file changed, 1 insertion(+), 1 deletion(-) diff --git a/README.md b/README.md index 86d82b1d..6a075dc4 100644 --- a/README.md +++ b/README.md @@ -3,7 +3,7 @@ - + This repository hosts the code of LightRAG. The structure of this code is based on [nano-graphrag](https://github.com/gusye1234/nano-graphrag). From a3b194e1b7104dd55b88d00c0ae4ff357debecab Mon Sep 17 00:00:00 2001 From: zrguo <49157727+LarFii@users.noreply.github.com> Date: Thu, 10 Oct 2024 11:51:51 +0800 Subject: [PATCH 002/258] Update README.md --- README.md | 2 +- 1 file changed, 1 insertion(+), 1 deletion(-) diff --git a/README.md b/README.md index 6a075dc4..f8227311 100644 --- a/README.md +++ b/README.md @@ -3,7 +3,7 @@ - + This repository hosts the code of LightRAG. The structure of this code is based on [nano-graphrag](https://github.com/gusye1234/nano-graphrag). From ba656e13e51d52da3657c10f9c3eff11371f5832 Mon Sep 17 00:00:00 2001 From: zrguo <49157727+LarFii@users.noreply.github.com> Date: Thu, 10 Oct 2024 11:54:03 +0800 Subject: [PATCH 003/258] Update README.md --- README.md | 4 ++-- 1 file changed, 2 insertions(+), 2 deletions(-) diff --git a/README.md b/README.md index f8227311..27f2c19b 100644 --- a/README.md +++ b/README.md @@ -4,7 +4,7 @@ - + This repository hosts the code of LightRAG. The structure of this code is based on [nano-graphrag](https://github.com/gusye1234/nano-graphrag). ![请添加图片描述](https://i-blog.csdnimg.cn/direct/b2aaf634151b4706892693ffb43d9093.png) @@ -191,7 +191,7 @@ Output your evaluation in the following JSON format: title={LightRAG: Simple and Fast Retrieval-Augmented Generation}, author={Zirui Guo and Lianghao Xia and Yanhua Yu and Tu Ao and Chao Huang}, year={2024}, -eprint={}, +eprint={2410.05779}, archivePrefix={arXiv}, primaryClass={cs.IR} } From ded903643b057588ac23c2037be2deb70804c453 Mon Sep 17 00:00:00 2001 From: zrguo <49157727+LarFii@users.noreply.github.com> Date: Thu, 10 Oct 2024 11:54:36 +0800 Subject: [PATCH 004/258] Update README.md --- README.md | 2 +- 1 file changed, 1 insertion(+), 1 deletion(-) diff --git a/README.md b/README.md index 27f2c19b..42de1c1c 100644 --- a/README.md +++ b/README.md @@ -4,7 +4,7 @@ - + This repository hosts the code of LightRAG. The structure of this code is based on [nano-graphrag](https://github.com/gusye1234/nano-graphrag). ![请添加图片描述](https://i-blog.csdnimg.cn/direct/b2aaf634151b4706892693ffb43d9093.png) From 8ff64dfe2c36d992abc72c55e3462ed39d1c161d Mon Sep 17 00:00:00 2001 From: Larfii <834462287@qq.com> Date: Thu, 10 Oct 2024 12:09:24 +0800 Subject: [PATCH 005/258] update --- lightrag/__init__.py | 2 +- setup.py | 2 +- 2 files changed, 2 insertions(+), 2 deletions(-) diff --git a/lightrag/__init__.py b/lightrag/__init__.py index a83afba3..dc497cd4 100644 --- a/lightrag/__init__.py +++ b/lightrag/__init__.py @@ -1,5 +1,5 @@ from .lightrag import LightRAG, QueryParam -__version__ = "0.0.1" +__version__ = "0.0.2" __author__ = "Zirui Guo" __url__ = "https://github.com/HKUDS/GraphEdit" diff --git a/setup.py b/setup.py index df1c3cf4..849fabfe 100644 --- a/setup.py +++ b/setup.py @@ -21,7 +21,7 @@ deps.append(line.strip()) setuptools.setup( - name="light-rag", + name="lightrag-hku", url=vars2readme["__url__"], version=vars2readme["__version__"], author=vars2readme["__author__"], From 74c2f04146d6bb789e70fc1b392d9ccbc5cc3525 Mon Sep 17 00:00:00 2001 From: LarFii <834462287@qq.com> Date: Thu, 10 Oct 2024 14:57:32 +0800 Subject: [PATCH 006/258] Revert "first commit" --- lightrag/base.py | 116 -------------------- lightrag/prompt.py | 256 -------------------------------------------- lightrag/storage.py | 246 ------------------------------------------ lightrag/utils.py | 165 ---------------------------- 4 files changed, 783 deletions(-) delete mode 100644 lightrag/base.py delete mode 100644 lightrag/prompt.py delete mode 100644 lightrag/storage.py delete mode 100644 lightrag/utils.py diff --git a/lightrag/base.py b/lightrag/base.py deleted file mode 100644 index 9c0422fe..00000000 --- a/lightrag/base.py +++ /dev/null @@ -1,116 +0,0 @@ -from dataclasses import dataclass, field -from typing import TypedDict, Union, Literal, Generic, TypeVar - -import numpy as np - -from .utils import EmbeddingFunc - -TextChunkSchema = TypedDict( - "TextChunkSchema", - {"tokens": int, "content": str, "full_doc_id": str, "chunk_order_index": int}, -) - -T = TypeVar("T") - -@dataclass -class QueryParam: - mode: Literal["local", "global", "hybird", "naive"] = "global" - only_need_context: bool = False - response_type: str = "Multiple Paragraphs" - top_k: int = 60 - max_token_for_text_unit: int = 4000 - max_token_for_global_context: int = 4000 - max_token_for_local_context: int = 4000 - - -@dataclass -class StorageNameSpace: - namespace: str - global_config: dict - - async def index_done_callback(self): - """commit the storage operations after indexing""" - pass - - async def query_done_callback(self): - """commit the storage operations after querying""" - pass - -@dataclass -class BaseVectorStorage(StorageNameSpace): - embedding_func: EmbeddingFunc - meta_fields: set = field(default_factory=set) - - async def query(self, query: str, top_k: int) -> list[dict]: - raise NotImplementedError - - async def upsert(self, data: dict[str, dict]): - """Use 'content' field from value for embedding, use key as id. - If embedding_func is None, use 'embedding' field from value - """ - raise NotImplementedError - -@dataclass -class BaseKVStorage(Generic[T], StorageNameSpace): - async def all_keys(self) -> list[str]: - raise NotImplementedError - - async def get_by_id(self, id: str) -> Union[T, None]: - raise NotImplementedError - - async def get_by_ids( - self, ids: list[str], fields: Union[set[str], None] = None - ) -> list[Union[T, None]]: - raise NotImplementedError - - async def filter_keys(self, data: list[str]) -> set[str]: - """return un-exist keys""" - raise NotImplementedError - - async def upsert(self, data: dict[str, T]): - raise NotImplementedError - - async def drop(self): - raise NotImplementedError - - -@dataclass -class BaseGraphStorage(StorageNameSpace): - async def has_node(self, node_id: str) -> bool: - raise NotImplementedError - - async def has_edge(self, source_node_id: str, target_node_id: str) -> bool: - raise NotImplementedError - - async def node_degree(self, node_id: str) -> int: - raise NotImplementedError - - async def edge_degree(self, src_id: str, tgt_id: str) -> int: - raise NotImplementedError - - async def get_node(self, node_id: str) -> Union[dict, None]: - raise NotImplementedError - - async def get_edge( - self, source_node_id: str, target_node_id: str - ) -> Union[dict, None]: - raise NotImplementedError - - async def get_node_edges( - self, source_node_id: str - ) -> Union[list[tuple[str, str]], None]: - raise NotImplementedError - - async def upsert_node(self, node_id: str, node_data: dict[str, str]): - raise NotImplementedError - - async def upsert_edge( - self, source_node_id: str, target_node_id: str, edge_data: dict[str, str] - ): - raise NotImplementedError - - async def clustering(self, algorithm: str): - raise NotImplementedError - - async def embed_nodes(self, algorithm: str) -> tuple[np.ndarray, list[str]]: - raise NotImplementedError("Node embedding is not used in lightrag.") \ No newline at end of file diff --git a/lightrag/prompt.py b/lightrag/prompt.py deleted file mode 100644 index 5d28e49c..00000000 --- a/lightrag/prompt.py +++ /dev/null @@ -1,256 +0,0 @@ -GRAPH_FIELD_SEP = "" - -PROMPTS = {} - -PROMPTS["DEFAULT_TUPLE_DELIMITER"] = "<|>" -PROMPTS["DEFAULT_RECORD_DELIMITER"] = "##" -PROMPTS["DEFAULT_COMPLETION_DELIMITER"] = "<|COMPLETE|>" -PROMPTS["process_tickers"] = ["⠋", "⠙", "⠹", "⠸", "⠼", "⠴", "⠦", "⠧", "⠇", "⠏"] - -PROMPTS["DEFAULT_ENTITY_TYPES"] = ["organization", "person", "geo", "event"] - -PROMPTS[ - "entity_extraction" -] = """-Goal- -Given a text document that is potentially relevant to this activity and a list of entity types, identify all entities of those types from the text and all relationships among the identified entities. - --Steps- -1. Identify all entities. For each identified entity, extract the following information: -- entity_name: Name of the entity, capitalized -- entity_type: One of the following types: [{entity_types}] -- entity_description: Comprehensive description of the entity's attributes and activities -Format each entity as ("entity"{tuple_delimiter}{tuple_delimiter}{tuple_delimiter} - -2. From the entities identified in step 1, identify all pairs of (source_entity, target_entity) that are *clearly related* to each other. -For each pair of related entities, extract the following information: -- source_entity: name of the source entity, as identified in step 1 -- target_entity: name of the target entity, as identified in step 1 -- relationship_description: explanation as to why you think the source entity and the target entity are related to each other -- relationship_strength: a numeric score indicating strength of the relationship between the source entity and target entity -- relationship_keywords: one or more high-level key words that summarize the overarching nature of the relationship, focusing on concepts or themes rather than specific details -Format each relationship as ("relationship"{tuple_delimiter}{tuple_delimiter}{tuple_delimiter}{tuple_delimiter}{tuple_delimiter}) - -3. Identify high-level key words that summarize the main concepts, themes, or topics of the entire text. These should capture the overarching ideas present in the document. -Format the content-level key words as ("content_keywords"{tuple_delimiter}) - -4. Return output in English as a single list of all the entities and relationships identified in steps 1 and 2. Use **{record_delimiter}** as the list delimiter. - -5. When finished, output {completion_delimiter} - -###################### --Examples- -###################### -Example 1: - -Entity_types: [person, technology, mission, organization, location] -Text: -while Alex clenched his jaw, the buzz of frustration dull against the backdrop of Taylor's authoritarian certainty. It was this competitive undercurrent that kept him alert, the sense that his and Jordan's shared commitment to discovery was an unspoken rebellion against Cruz's narrowing vision of control and order. - -Then Taylor did something unexpected. They paused beside Jordan and, for a moment, observed the device with something akin to reverence. “If this tech can be understood..." Taylor said, their voice quieter, "It could change the game for us. For all of us.” - -The underlying dismissal earlier seemed to falter, replaced by a glimpse of reluctant respect for the gravity of what lay in their hands. Jordan looked up, and for a fleeting heartbeat, their eyes locked with Taylor's, a wordless clash of wills softening into an uneasy truce. - -It was a small transformation, barely perceptible, but one that Alex noted with an inward nod. They had all been brought here by different paths -################ -Output: -("entity"{tuple_delimiter}"Alex"{tuple_delimiter}"person"{tuple_delimiter}"Alex is a character who experiences frustration and is observant of the dynamics among other characters."){record_delimiter} -("entity"{tuple_delimiter}"Taylor"{tuple_delimiter}"person"{tuple_delimiter}"Taylor is portrayed with authoritarian certainty and shows a moment of reverence towards a device, indicating a change in perspective."){record_delimiter} -("entity"{tuple_delimiter}"Jordan"{tuple_delimiter}"person"{tuple_delimiter}"Jordan shares a commitment to discovery and has a significant interaction with Taylor regarding a device."){record_delimiter} -("entity"{tuple_delimiter}"Cruz"{tuple_delimiter}"person"{tuple_delimiter}"Cruz is associated with a vision of control and order, influencing the dynamics among other characters."){record_delimiter} -("entity"{tuple_delimiter}"The Device"{tuple_delimiter}"technology"{tuple_delimiter}"The Device is central to the story, with potential game-changing implications, and is revered by Taylor."){record_delimiter} -("relationship"{tuple_delimiter}"Alex"{tuple_delimiter}"Taylor"{tuple_delimiter}"Alex is affected by Taylor's authoritarian certainty and observes changes in Taylor's attitude towards the device."{tuple_delimiter}"power dynamics, perspective shift"{tuple_delimiter}7){record_delimiter} -("relationship"{tuple_delimiter}"Alex"{tuple_delimiter}"Jordan"{tuple_delimiter}"Alex and Jordan share a commitment to discovery, which contrasts with Cruz's vision."{tuple_delimiter}"shared goals, rebellion"{tuple_delimiter}6){record_delimiter} -("relationship"{tuple_delimiter}"Taylor"{tuple_delimiter}"Jordan"{tuple_delimiter}"Taylor and Jordan interact directly regarding the device, leading to a moment of mutual respect and an uneasy truce."{tuple_delimiter}"conflict resolution, mutual respect"{tuple_delimiter}8){record_delimiter} -("relationship"{tuple_delimiter}"Jordan"{tuple_delimiter}"Cruz"{tuple_delimiter}"Jordan's commitment to discovery is in rebellion against Cruz's vision of control and order."{tuple_delimiter}"ideological conflict, rebellion"{tuple_delimiter}5){record_delimiter} -("relationship"{tuple_delimiter}"Taylor"{tuple_delimiter}"The Device"{tuple_delimiter}"Taylor shows reverence towards the device, indicating its importance and potential impact."{tuple_delimiter}"reverence, technological significance"{tuple_delimiter}9){record_delimiter} -("content_keywords"{tuple_delimiter}"power dynamics, ideological conflict, discovery, rebellion"){completion_delimiter} -############################# -Example 2: - -Entity_types: [person, technology, mission, organization, location] -Text: -They were no longer mere operatives; they had become guardians of a threshold, keepers of a message from a realm beyond stars and stripes. This elevation in their mission could not be shackled by regulations and established protocols—it demanded a new perspective, a new resolve. - -Tension threaded through the dialogue of beeps and static as communications with Washington buzzed in the background. The team stood, a portentous air enveloping them. It was clear that the decisions they made in the ensuing hours could redefine humanity's place in the cosmos or condemn them to ignorance and potential peril. - -Their connection to the stars solidified, the group moved to address the crystallizing warning, shifting from passive recipients to active participants. Mercer's latter instincts gained precedence— the team's mandate had evolved, no longer solely to observe and report but to interact and prepare. A metamorphosis had begun, and Operation: Dulce hummed with the newfound frequency of their daring, a tone set not by the earthly -############# -Output: -("entity"{tuple_delimiter}"Washington"{tuple_delimiter}"location"{tuple_delimiter}"Washington is a location where communications are being received, indicating its importance in the decision-making process."){record_delimiter} -("entity"{tuple_delimiter}"Operation: Dulce"{tuple_delimiter}"mission"{tuple_delimiter}"Operation: Dulce is described as a mission that has evolved to interact and prepare, indicating a significant shift in objectives and activities."){record_delimiter} -("entity"{tuple_delimiter}"The team"{tuple_delimiter}"organization"{tuple_delimiter}"The team is portrayed as a group of individuals who have transitioned from passive observers to active participants in a mission, showing a dynamic change in their role."){record_delimiter} -("relationship"{tuple_delimiter}"The team"{tuple_delimiter}"Washington"{tuple_delimiter}"The team receives communications from Washington, which influences their decision-making process."{tuple_delimiter}"decision-making, external influence"{tuple_delimiter}7){record_delimiter} -("relationship"{tuple_delimiter}"The team"{tuple_delimiter}"Operation: Dulce"{tuple_delimiter}"The team is directly involved in Operation: Dulce, executing its evolved objectives and activities."{tuple_delimiter}"mission evolution, active participation"{tuple_delimiter}9){completion_delimiter} -("content_keywords"{tuple_delimiter}"mission evolution, decision-making, active participation, cosmic significance"){completion_delimiter} -############################# -Example 3: - -Entity_types: [person, role, technology, organization, event, location, concept] -Text: -their voice slicing through the buzz of activity. "Control may be an illusion when facing an intelligence that literally writes its own rules," they stated stoically, casting a watchful eye over the flurry of data. - -"It's like it's learning to communicate," offered Sam Rivera from a nearby interface, their youthful energy boding a mix of awe and anxiety. "This gives talking to strangers' a whole new meaning." - -Alex surveyed his team—each face a study in concentration, determination, and not a small measure of trepidation. "This might well be our first contact," he acknowledged, "And we need to be ready for whatever answers back." - -Together, they stood on the edge of the unknown, forging humanity's response to a message from the heavens. The ensuing silence was palpable—a collective introspection about their role in this grand cosmic play, one that could rewrite human history. - -The encrypted dialogue continued to unfold, its intricate patterns showing an almost uncanny anticipation -############# -Output: -("entity"{tuple_delimiter}"Sam Rivera"{tuple_delimiter}"person"{tuple_delimiter}"Sam Rivera is a member of a team working on communicating with an unknown intelligence, showing a mix of awe and anxiety."){record_delimiter} -("entity"{tuple_delimiter}"Alex"{tuple_delimiter}"person"{tuple_delimiter}"Alex is the leader of a team attempting first contact with an unknown intelligence, acknowledging the significance of their task."){record_delimiter} -("entity"{tuple_delimiter}"Control"{tuple_delimiter}"concept"{tuple_delimiter}"Control refers to the ability to manage or govern, which is challenged by an intelligence that writes its own rules."){record_delimiter} -("entity"{tuple_delimiter}"Intelligence"{tuple_delimiter}"concept"{tuple_delimiter}"Intelligence here refers to an unknown entity capable of writing its own rules and learning to communicate."){record_delimiter} -("entity"{tuple_delimiter}"First Contact"{tuple_delimiter}"event"{tuple_delimiter}"First Contact is the potential initial communication between humanity and an unknown intelligence."){record_delimiter} -("entity"{tuple_delimiter}"Humanity's Response"{tuple_delimiter}"event"{tuple_delimiter}"Humanity's Response is the collective action taken by Alex's team in response to a message from an unknown intelligence."){record_delimiter} -("relationship"{tuple_delimiter}"Sam Rivera"{tuple_delimiter}"Intelligence"{tuple_delimiter}"Sam Rivera is directly involved in the process of learning to communicate with the unknown intelligence."{tuple_delimiter}"communication, learning process"{tuple_delimiter}9){record_delimiter} -("relationship"{tuple_delimiter}"Alex"{tuple_delimiter}"First Contact"{tuple_delimiter}"Alex leads the team that might be making the First Contact with the unknown intelligence."{tuple_delimiter}"leadership, exploration"{tuple_delimiter}10){record_delimiter} -("relationship"{tuple_delimiter}"Alex"{tuple_delimiter}"Humanity's Response"{tuple_delimiter}"Alex and his team are the key figures in Humanity's Response to the unknown intelligence."{tuple_delimiter}"collective action, cosmic significance"{tuple_delimiter}8){record_delimiter} -("relationship"{tuple_delimiter}"Control"{tuple_delimiter}"Intelligence"{tuple_delimiter}"The concept of Control is challenged by the Intelligence that writes its own rules."{tuple_delimiter}"power dynamics, autonomy"{tuple_delimiter}7){record_delimiter} -("content_keywords"{tuple_delimiter}"first contact, control, communication, cosmic significance"){completion_delimiter} -############################# --Real Data- -###################### -Entity_types: {entity_types} -Text: {input_text} -###################### -Output: -""" - -PROMPTS[ - "summarize_entity_descriptions" -] = """You are a helpful assistant responsible for generating a comprehensive summary of the data provided below. -Given one or two entities, and a list of descriptions, all related to the same entity or group of entities. -Please concatenate all of these into a single, comprehensive description. Make sure to include information collected from all the descriptions. -If the provided descriptions are contradictory, please resolve the contradictions and provide a single, coherent summary. -Make sure it is written in third person, and include the entity names so we the have full context. - -####### --Data- -Entities: {entity_name} -Description List: {description_list} -####### -Output: -""" - -PROMPTS[ - "entiti_continue_extraction" -] = """MANY entities were missed in the last extraction. Add them below using the same format: -""" - -PROMPTS[ - "entiti_if_loop_extraction" -] = """It appears some entities may have still been missed. Answer YES | NO if there are still entities that need to be added. -""" - -PROMPTS["fail_response"] = "Sorry, I'm not able to provide an answer to that question." - -PROMPTS[ - "rag_response" -] = """---Role--- - -You are a helpful assistant responding to questions about data in the tables provided. - - ----Goal--- - -Generate a response of the target length and format that responds to the user's question, summarizing all information in the input data tables appropriate for the response length and format, and incorporating any relevant general knowledge. -If you don't know the answer, just say so. Do not make anything up. -Do not include information where the supporting evidence for it is not provided. - ----Target response length and format--- - -{response_type} - - ----Data tables--- - -{context_data} - - ----Goal--- - -Generate a response of the target length and format that responds to the user's question, summarizing all information in the input data tables appropriate for the response length and format, and incorporating any relevant general knowledge. - -If you don't know the answer, just say so. Do not make anything up. - -Do not include information where the supporting evidence for it is not provided. - - ----Target response length and format--- - -{response_type} - -Add sections and commentary to the response as appropriate for the length and format. Style the response in markdown. -""" - -PROMPTS["keywords_extraction"] = """---Role--- - -You are a helpful assistant tasked with identifying both high-level and low-level keywords in the user's query. - ----Goal--- - -Given the query, list both high-level and low-level keywords. High-level keywords focus on overarching concepts or themes, while low-level keywords focus on specific entities, details, or concrete terms. - ----Instructions--- - -- Output the keywords in JSON format. -- The JSON should have two keys: - - "high_level_keywords" for overarching concepts or themes. - - "low_level_keywords" for specific entities or details. - -###################### --Examples- -###################### -Example 1: - -Query: "How does international trade influence global economic stability?" -################ -Output: -{{ - "high_level_keywords": ["International trade", "Global economic stability", "Economic impact"], - "low_level_keywords": ["Trade agreements", "Tariffs", "Currency exchange", "Imports", "Exports"] -}} -############################# -Example 2: - -Query: "What are the environmental consequences of deforestation on biodiversity?" -################ -Output: -{{ - "high_level_keywords": ["Environmental consequences", "Deforestation", "Biodiversity loss"], - "low_level_keywords": ["Species extinction", "Habitat destruction", "Carbon emissions", "Rainforest", "Ecosystem"] -}} -############################# -Example 3: - -Query: "What is the role of education in reducing poverty?" -################ -Output: -{{ - "high_level_keywords": ["Education", "Poverty reduction", "Socioeconomic development"], - "low_level_keywords": ["School access", "Literacy rates", "Job training", "Income inequality"] -}} -############################# --Real Data- -###################### -Query: {query} -###################### -Output: - -""" - -PROMPTS[ - "naive_rag_response" -] = """You're a helpful assistant -Below are the knowledge you know: -{content_data} ---- -If you don't know the answer or if the provided knowledge do not contain sufficient information to provide an answer, just say so. Do not make anything up. -Generate a response of the target length and format that responds to the user's question, summarizing all information in the input data tables appropriate for the response length and format, and incorporating any relevant general knowledge. -If you don't know the answer, just say so. Do not make anything up. -Do not include information where the supporting evidence for it is not provided. ----Target response length and format--- -{response_type} -""" diff --git a/lightrag/storage.py b/lightrag/storage.py deleted file mode 100644 index 2f2bb7d8..00000000 --- a/lightrag/storage.py +++ /dev/null @@ -1,246 +0,0 @@ -import asyncio -import html -import json -import os -from collections import defaultdict -from dataclasses import dataclass, field -from typing import Any, Union, cast -import pickle -import hnswlib -import networkx as nx -import numpy as np -from nano_vectordb import NanoVectorDB -import xxhash - -from .utils import load_json, logger, write_json -from .base import ( - BaseGraphStorage, - BaseKVStorage, - BaseVectorStorage, -) - -@dataclass -class JsonKVStorage(BaseKVStorage): - def __post_init__(self): - working_dir = self.global_config["working_dir"] - self._file_name = os.path.join(working_dir, f"kv_store_{self.namespace}.json") - self._data = load_json(self._file_name) or {} - logger.info(f"Load KV {self.namespace} with {len(self._data)} data") - - async def all_keys(self) -> list[str]: - return list(self._data.keys()) - - async def index_done_callback(self): - write_json(self._data, self._file_name) - - async def get_by_id(self, id): - return self._data.get(id, None) - - async def get_by_ids(self, ids, fields=None): - if fields is None: - return [self._data.get(id, None) for id in ids] - return [ - ( - {k: v for k, v in self._data[id].items() if k in fields} - if self._data.get(id, None) - else None - ) - for id in ids - ] - - async def filter_keys(self, data: list[str]) -> set[str]: - return set([s for s in data if s not in self._data]) - - async def upsert(self, data: dict[str, dict]): - left_data = {k: v for k, v in data.items() if k not in self._data} - self._data.update(left_data) - return left_data - - async def drop(self): - self._data = {} - -@dataclass -class NanoVectorDBStorage(BaseVectorStorage): - cosine_better_than_threshold: float = 0.2 - - def __post_init__(self): - - self._client_file_name = os.path.join( - self.global_config["working_dir"], f"vdb_{self.namespace}.json" - ) - self._max_batch_size = self.global_config["embedding_batch_num"] - self._client = NanoVectorDB( - self.embedding_func.embedding_dim, storage_file=self._client_file_name - ) - self.cosine_better_than_threshold = self.global_config.get( - "cosine_better_than_threshold", self.cosine_better_than_threshold - ) - - async def upsert(self, data: dict[str, dict]): - logger.info(f"Inserting {len(data)} vectors to {self.namespace}") - if not len(data): - logger.warning("You insert an empty data to vector DB") - return [] - list_data = [ - { - "__id__": k, - **{k1: v1 for k1, v1 in v.items() if k1 in self.meta_fields}, - } - for k, v in data.items() - ] - contents = [v["content"] for v in data.values()] - batches = [ - contents[i : i + self._max_batch_size] - for i in range(0, len(contents), self._max_batch_size) - ] - embeddings_list = await asyncio.gather( - *[self.embedding_func(batch) for batch in batches] - ) - embeddings = np.concatenate(embeddings_list) - for i, d in enumerate(list_data): - d["__vector__"] = embeddings[i] - results = self._client.upsert(datas=list_data) - return results - - async def query(self, query: str, top_k=5): - embedding = await self.embedding_func([query]) - embedding = embedding[0] - results = self._client.query( - query=embedding, - top_k=top_k, - better_than_threshold=self.cosine_better_than_threshold, - ) - results = [ - {**dp, "id": dp["__id__"], "distance": dp["__metrics__"]} for dp in results - ] - return results - - async def index_done_callback(self): - self._client.save() - -@dataclass -class NetworkXStorage(BaseGraphStorage): - @staticmethod - def load_nx_graph(file_name) -> nx.Graph: - if os.path.exists(file_name): - return nx.read_graphml(file_name) - return None - - @staticmethod - def write_nx_graph(graph: nx.Graph, file_name): - logger.info( - f"Writing graph with {graph.number_of_nodes()} nodes, {graph.number_of_edges()} edges" - ) - nx.write_graphml(graph, file_name) - - @staticmethod - def stable_largest_connected_component(graph: nx.Graph) -> nx.Graph: - """Refer to https://github.com/microsoft/graphrag/index/graph/utils/stable_lcc.py - Return the largest connected component of the graph, with nodes and edges sorted in a stable way. - """ - from graspologic.utils import largest_connected_component - - graph = graph.copy() - graph = cast(nx.Graph, largest_connected_component(graph)) - node_mapping = {node: html.unescape(node.upper().strip()) for node in graph.nodes()} # type: ignore - graph = nx.relabel_nodes(graph, node_mapping) - return NetworkXStorage._stabilize_graph(graph) - - @staticmethod - def _stabilize_graph(graph: nx.Graph) -> nx.Graph: - """Refer to https://github.com/microsoft/graphrag/index/graph/utils/stable_lcc.py - Ensure an undirected graph with the same relationships will always be read the same way. - """ - fixed_graph = nx.DiGraph() if graph.is_directed() else nx.Graph() - - sorted_nodes = graph.nodes(data=True) - sorted_nodes = sorted(sorted_nodes, key=lambda x: x[0]) - - fixed_graph.add_nodes_from(sorted_nodes) - edges = list(graph.edges(data=True)) - - if not graph.is_directed(): - - def _sort_source_target(edge): - source, target, edge_data = edge - if source > target: - temp = source - source = target - target = temp - return source, target, edge_data - - edges = [_sort_source_target(edge) for edge in edges] - - def _get_edge_key(source: Any, target: Any) -> str: - return f"{source} -> {target}" - - edges = sorted(edges, key=lambda x: _get_edge_key(x[0], x[1])) - - fixed_graph.add_edges_from(edges) - return fixed_graph - - def __post_init__(self): - self._graphml_xml_file = os.path.join( - self.global_config["working_dir"], f"graph_{self.namespace}.graphml" - ) - preloaded_graph = NetworkXStorage.load_nx_graph(self._graphml_xml_file) - if preloaded_graph is not None: - logger.info( - f"Loaded graph from {self._graphml_xml_file} with {preloaded_graph.number_of_nodes()} nodes, {preloaded_graph.number_of_edges()} edges" - ) - self._graph = preloaded_graph or nx.Graph() - self._node_embed_algorithms = { - "node2vec": self._node2vec_embed, - } - - async def index_done_callback(self): - NetworkXStorage.write_nx_graph(self._graph, self._graphml_xml_file) - - async def has_node(self, node_id: str) -> bool: - return self._graph.has_node(node_id) - - async def has_edge(self, source_node_id: str, target_node_id: str) -> bool: - return self._graph.has_edge(source_node_id, target_node_id) - - async def get_node(self, node_id: str) -> Union[dict, None]: - return self._graph.nodes.get(node_id) - - async def node_degree(self, node_id: str) -> int: - return self._graph.degree(node_id) - - async def edge_degree(self, src_id: str, tgt_id: str) -> int: - return self._graph.degree(src_id) + self._graph.degree(tgt_id) - - async def get_edge( - self, source_node_id: str, target_node_id: str - ) -> Union[dict, None]: - return self._graph.edges.get((source_node_id, target_node_id)) - - async def get_node_edges(self, source_node_id: str): - if self._graph.has_node(source_node_id): - return list(self._graph.edges(source_node_id)) - return None - - async def upsert_node(self, node_id: str, node_data: dict[str, str]): - self._graph.add_node(node_id, **node_data) - - async def upsert_edge( - self, source_node_id: str, target_node_id: str, edge_data: dict[str, str] - ): - self._graph.add_edge(source_node_id, target_node_id, **edge_data) - - async def embed_nodes(self, algorithm: str) -> tuple[np.ndarray, list[str]]: - if algorithm not in self._node_embed_algorithms: - raise ValueError(f"Node embedding algorithm {algorithm} not supported") - return await self._node_embed_algorithms[algorithm]() - - async def _node2vec_embed(self): - from graspologic import embed - - embeddings, nodes = embed.node2vec_embed( - self._graph, - **self.global_config["node2vec_params"], - ) - - nodes_ids = [self._graph.nodes[node_id]["id"] for node_id in nodes] - return embeddings, nodes_ids diff --git a/lightrag/utils.py b/lightrag/utils.py deleted file mode 100644 index c75b4270..00000000 --- a/lightrag/utils.py +++ /dev/null @@ -1,165 +0,0 @@ -import asyncio -import html -import json -import logging -import os -import re -from dataclasses import dataclass -from functools import wraps -from hashlib import md5 -from typing import Any, Union - -import numpy as np -import tiktoken - -ENCODER = None - -logger = logging.getLogger("lightrag") - -def set_logger(log_file: str): - logger.setLevel(logging.DEBUG) - - file_handler = logging.FileHandler(log_file) - file_handler.setLevel(logging.DEBUG) - - formatter = logging.Formatter('%(asctime)s - %(name)s - %(levelname)s - %(message)s') - file_handler.setFormatter(formatter) - - if not logger.handlers: - logger.addHandler(file_handler) - -@dataclass -class EmbeddingFunc: - embedding_dim: int - max_token_size: int - func: callable - - async def __call__(self, *args, **kwargs) -> np.ndarray: - return await self.func(*args, **kwargs) - -def locate_json_string_body_from_string(content: str) -> Union[str, None]: - """Locate the JSON string body from a string""" - maybe_json_str = re.search(r"{.*}", content, re.DOTALL) - if maybe_json_str is not None: - return maybe_json_str.group(0) - else: - return None - -def convert_response_to_json(response: str) -> dict: - json_str = locate_json_string_body_from_string(response) - assert json_str is not None, f"Unable to parse JSON from response: {response}" - try: - data = json.loads(json_str) - return data - except json.JSONDecodeError as e: - logger.error(f"Failed to parse JSON: {json_str}") - raise e from None - -def compute_args_hash(*args): - return md5(str(args).encode()).hexdigest() - -def compute_mdhash_id(content, prefix: str = ""): - return prefix + md5(content.encode()).hexdigest() - -def limit_async_func_call(max_size: int, waitting_time: float = 0.0001): - """Add restriction of maximum async calling times for a async func""" - - def final_decro(func): - """Not using async.Semaphore to aovid use nest-asyncio""" - __current_size = 0 - - @wraps(func) - async def wait_func(*args, **kwargs): - nonlocal __current_size - while __current_size >= max_size: - await asyncio.sleep(waitting_time) - __current_size += 1 - result = await func(*args, **kwargs) - __current_size -= 1 - return result - - return wait_func - - return final_decro - -def wrap_embedding_func_with_attrs(**kwargs): - """Wrap a function with attributes""" - - def final_decro(func) -> EmbeddingFunc: - new_func = EmbeddingFunc(**kwargs, func=func) - return new_func - - return final_decro - -def load_json(file_name): - if not os.path.exists(file_name): - return None - with open(file_name) as f: - return json.load(f) - -def write_json(json_obj, file_name): - with open(file_name, "w") as f: - json.dump(json_obj, f, indent=2, ensure_ascii=False) - -def encode_string_by_tiktoken(content: str, model_name: str = "gpt-4o"): - global ENCODER - if ENCODER is None: - ENCODER = tiktoken.encoding_for_model(model_name) - tokens = ENCODER.encode(content) - return tokens - - -def decode_tokens_by_tiktoken(tokens: list[int], model_name: str = "gpt-4o"): - global ENCODER - if ENCODER is None: - ENCODER = tiktoken.encoding_for_model(model_name) - content = ENCODER.decode(tokens) - return content - -def pack_user_ass_to_openai_messages(*args: str): - roles = ["user", "assistant"] - return [ - {"role": roles[i % 2], "content": content} for i, content in enumerate(args) - ] - -def split_string_by_multi_markers(content: str, markers: list[str]) -> list[str]: - """Split a string by multiple markers""" - if not markers: - return [content] - results = re.split("|".join(re.escape(marker) for marker in markers), content) - return [r.strip() for r in results if r.strip()] - -# Refer the utils functions of the official GraphRAG implementation: -# https://github.com/microsoft/graphrag -def clean_str(input: Any) -> str: - """Clean an input string by removing HTML escapes, control characters, and other unwanted characters.""" - # If we get non-string input, just give it back - if not isinstance(input, str): - return input - - result = html.unescape(input.strip()) - # https://stackoverflow.com/questions/4324790/removing-control-characters-from-a-string-in-python - return re.sub(r"[\x00-\x1f\x7f-\x9f]", "", result) - -def is_float_regex(value): - return bool(re.match(r"^[-+]?[0-9]*\.?[0-9]+$", value)) - -def truncate_list_by_token_size(list_data: list, key: callable, max_token_size: int): - """Truncate a list of data by token size""" - if max_token_size <= 0: - return [] - tokens = 0 - for i, data in enumerate(list_data): - tokens += len(encode_string_by_tiktoken(key(data))) - if tokens > max_token_size: - return list_data[:i] - return list_data - -def list_of_list_to_csv(data: list[list]): - return "\n".join( - [",\t".join([str(data_dd) for data_dd in data_d]) for data_d in data] - ) - -def save_data_to_file(data, file_name): - with open(file_name, 'w', encoding='utf-8') as f: - json.dump(data, f, ensure_ascii=False, indent=4) \ No newline at end of file From 0c2640f4e27f94c8ce1d56ad49df1ff93f9ba65e Mon Sep 17 00:00:00 2001 From: LarFii <834462287@qq.com> Date: Thu, 10 Oct 2024 14:58:21 +0800 Subject: [PATCH 007/258] update --- lightrag/__init__.py | 2 +- lightrag/base.py | 116 ++++++++++++++++++++ lightrag/prompt.py | 256 +++++++++++++++++++++++++++++++++++++++++++ lightrag/storage.py | 246 +++++++++++++++++++++++++++++++++++++++++ lightrag/utils.py | 165 ++++++++++++++++++++++++++++ setup.py | 2 +- 6 files changed, 785 insertions(+), 2 deletions(-) create mode 100644 lightrag/base.py create mode 100644 lightrag/prompt.py create mode 100644 lightrag/storage.py create mode 100644 lightrag/utils.py diff --git a/lightrag/__init__.py b/lightrag/__init__.py index a83afba3..dc497cd4 100644 --- a/lightrag/__init__.py +++ b/lightrag/__init__.py @@ -1,5 +1,5 @@ from .lightrag import LightRAG, QueryParam -__version__ = "0.0.1" +__version__ = "0.0.2" __author__ = "Zirui Guo" __url__ = "https://github.com/HKUDS/GraphEdit" diff --git a/lightrag/base.py b/lightrag/base.py new file mode 100644 index 00000000..9c0422fe --- /dev/null +++ b/lightrag/base.py @@ -0,0 +1,116 @@ +from dataclasses import dataclass, field +from typing import TypedDict, Union, Literal, Generic, TypeVar + +import numpy as np + +from .utils import EmbeddingFunc + +TextChunkSchema = TypedDict( + "TextChunkSchema", + {"tokens": int, "content": str, "full_doc_id": str, "chunk_order_index": int}, +) + +T = TypeVar("T") + +@dataclass +class QueryParam: + mode: Literal["local", "global", "hybird", "naive"] = "global" + only_need_context: bool = False + response_type: str = "Multiple Paragraphs" + top_k: int = 60 + max_token_for_text_unit: int = 4000 + max_token_for_global_context: int = 4000 + max_token_for_local_context: int = 4000 + + +@dataclass +class StorageNameSpace: + namespace: str + global_config: dict + + async def index_done_callback(self): + """commit the storage operations after indexing""" + pass + + async def query_done_callback(self): + """commit the storage operations after querying""" + pass + +@dataclass +class BaseVectorStorage(StorageNameSpace): + embedding_func: EmbeddingFunc + meta_fields: set = field(default_factory=set) + + async def query(self, query: str, top_k: int) -> list[dict]: + raise NotImplementedError + + async def upsert(self, data: dict[str, dict]): + """Use 'content' field from value for embedding, use key as id. + If embedding_func is None, use 'embedding' field from value + """ + raise NotImplementedError + +@dataclass +class BaseKVStorage(Generic[T], StorageNameSpace): + async def all_keys(self) -> list[str]: + raise NotImplementedError + + async def get_by_id(self, id: str) -> Union[T, None]: + raise NotImplementedError + + async def get_by_ids( + self, ids: list[str], fields: Union[set[str], None] = None + ) -> list[Union[T, None]]: + raise NotImplementedError + + async def filter_keys(self, data: list[str]) -> set[str]: + """return un-exist keys""" + raise NotImplementedError + + async def upsert(self, data: dict[str, T]): + raise NotImplementedError + + async def drop(self): + raise NotImplementedError + + +@dataclass +class BaseGraphStorage(StorageNameSpace): + async def has_node(self, node_id: str) -> bool: + raise NotImplementedError + + async def has_edge(self, source_node_id: str, target_node_id: str) -> bool: + raise NotImplementedError + + async def node_degree(self, node_id: str) -> int: + raise NotImplementedError + + async def edge_degree(self, src_id: str, tgt_id: str) -> int: + raise NotImplementedError + + async def get_node(self, node_id: str) -> Union[dict, None]: + raise NotImplementedError + + async def get_edge( + self, source_node_id: str, target_node_id: str + ) -> Union[dict, None]: + raise NotImplementedError + + async def get_node_edges( + self, source_node_id: str + ) -> Union[list[tuple[str, str]], None]: + raise NotImplementedError + + async def upsert_node(self, node_id: str, node_data: dict[str, str]): + raise NotImplementedError + + async def upsert_edge( + self, source_node_id: str, target_node_id: str, edge_data: dict[str, str] + ): + raise NotImplementedError + + async def clustering(self, algorithm: str): + raise NotImplementedError + + async def embed_nodes(self, algorithm: str) -> tuple[np.ndarray, list[str]]: + raise NotImplementedError("Node embedding is not used in lightrag.") \ No newline at end of file diff --git a/lightrag/prompt.py b/lightrag/prompt.py new file mode 100644 index 00000000..5d28e49c --- /dev/null +++ b/lightrag/prompt.py @@ -0,0 +1,256 @@ +GRAPH_FIELD_SEP = "" + +PROMPTS = {} + +PROMPTS["DEFAULT_TUPLE_DELIMITER"] = "<|>" +PROMPTS["DEFAULT_RECORD_DELIMITER"] = "##" +PROMPTS["DEFAULT_COMPLETION_DELIMITER"] = "<|COMPLETE|>" +PROMPTS["process_tickers"] = ["⠋", "⠙", "⠹", "⠸", "⠼", "⠴", "⠦", "⠧", "⠇", "⠏"] + +PROMPTS["DEFAULT_ENTITY_TYPES"] = ["organization", "person", "geo", "event"] + +PROMPTS[ + "entity_extraction" +] = """-Goal- +Given a text document that is potentially relevant to this activity and a list of entity types, identify all entities of those types from the text and all relationships among the identified entities. + +-Steps- +1. Identify all entities. For each identified entity, extract the following information: +- entity_name: Name of the entity, capitalized +- entity_type: One of the following types: [{entity_types}] +- entity_description: Comprehensive description of the entity's attributes and activities +Format each entity as ("entity"{tuple_delimiter}{tuple_delimiter}{tuple_delimiter} + +2. From the entities identified in step 1, identify all pairs of (source_entity, target_entity) that are *clearly related* to each other. +For each pair of related entities, extract the following information: +- source_entity: name of the source entity, as identified in step 1 +- target_entity: name of the target entity, as identified in step 1 +- relationship_description: explanation as to why you think the source entity and the target entity are related to each other +- relationship_strength: a numeric score indicating strength of the relationship between the source entity and target entity +- relationship_keywords: one or more high-level key words that summarize the overarching nature of the relationship, focusing on concepts or themes rather than specific details +Format each relationship as ("relationship"{tuple_delimiter}{tuple_delimiter}{tuple_delimiter}{tuple_delimiter}{tuple_delimiter}) + +3. Identify high-level key words that summarize the main concepts, themes, or topics of the entire text. These should capture the overarching ideas present in the document. +Format the content-level key words as ("content_keywords"{tuple_delimiter}) + +4. Return output in English as a single list of all the entities and relationships identified in steps 1 and 2. Use **{record_delimiter}** as the list delimiter. + +5. When finished, output {completion_delimiter} + +###################### +-Examples- +###################### +Example 1: + +Entity_types: [person, technology, mission, organization, location] +Text: +while Alex clenched his jaw, the buzz of frustration dull against the backdrop of Taylor's authoritarian certainty. It was this competitive undercurrent that kept him alert, the sense that his and Jordan's shared commitment to discovery was an unspoken rebellion against Cruz's narrowing vision of control and order. + +Then Taylor did something unexpected. They paused beside Jordan and, for a moment, observed the device with something akin to reverence. “If this tech can be understood..." Taylor said, their voice quieter, "It could change the game for us. For all of us.” + +The underlying dismissal earlier seemed to falter, replaced by a glimpse of reluctant respect for the gravity of what lay in their hands. Jordan looked up, and for a fleeting heartbeat, their eyes locked with Taylor's, a wordless clash of wills softening into an uneasy truce. + +It was a small transformation, barely perceptible, but one that Alex noted with an inward nod. They had all been brought here by different paths +################ +Output: +("entity"{tuple_delimiter}"Alex"{tuple_delimiter}"person"{tuple_delimiter}"Alex is a character who experiences frustration and is observant of the dynamics among other characters."){record_delimiter} +("entity"{tuple_delimiter}"Taylor"{tuple_delimiter}"person"{tuple_delimiter}"Taylor is portrayed with authoritarian certainty and shows a moment of reverence towards a device, indicating a change in perspective."){record_delimiter} +("entity"{tuple_delimiter}"Jordan"{tuple_delimiter}"person"{tuple_delimiter}"Jordan shares a commitment to discovery and has a significant interaction with Taylor regarding a device."){record_delimiter} +("entity"{tuple_delimiter}"Cruz"{tuple_delimiter}"person"{tuple_delimiter}"Cruz is associated with a vision of control and order, influencing the dynamics among other characters."){record_delimiter} +("entity"{tuple_delimiter}"The Device"{tuple_delimiter}"technology"{tuple_delimiter}"The Device is central to the story, with potential game-changing implications, and is revered by Taylor."){record_delimiter} +("relationship"{tuple_delimiter}"Alex"{tuple_delimiter}"Taylor"{tuple_delimiter}"Alex is affected by Taylor's authoritarian certainty and observes changes in Taylor's attitude towards the device."{tuple_delimiter}"power dynamics, perspective shift"{tuple_delimiter}7){record_delimiter} +("relationship"{tuple_delimiter}"Alex"{tuple_delimiter}"Jordan"{tuple_delimiter}"Alex and Jordan share a commitment to discovery, which contrasts with Cruz's vision."{tuple_delimiter}"shared goals, rebellion"{tuple_delimiter}6){record_delimiter} +("relationship"{tuple_delimiter}"Taylor"{tuple_delimiter}"Jordan"{tuple_delimiter}"Taylor and Jordan interact directly regarding the device, leading to a moment of mutual respect and an uneasy truce."{tuple_delimiter}"conflict resolution, mutual respect"{tuple_delimiter}8){record_delimiter} +("relationship"{tuple_delimiter}"Jordan"{tuple_delimiter}"Cruz"{tuple_delimiter}"Jordan's commitment to discovery is in rebellion against Cruz's vision of control and order."{tuple_delimiter}"ideological conflict, rebellion"{tuple_delimiter}5){record_delimiter} +("relationship"{tuple_delimiter}"Taylor"{tuple_delimiter}"The Device"{tuple_delimiter}"Taylor shows reverence towards the device, indicating its importance and potential impact."{tuple_delimiter}"reverence, technological significance"{tuple_delimiter}9){record_delimiter} +("content_keywords"{tuple_delimiter}"power dynamics, ideological conflict, discovery, rebellion"){completion_delimiter} +############################# +Example 2: + +Entity_types: [person, technology, mission, organization, location] +Text: +They were no longer mere operatives; they had become guardians of a threshold, keepers of a message from a realm beyond stars and stripes. This elevation in their mission could not be shackled by regulations and established protocols—it demanded a new perspective, a new resolve. + +Tension threaded through the dialogue of beeps and static as communications with Washington buzzed in the background. The team stood, a portentous air enveloping them. It was clear that the decisions they made in the ensuing hours could redefine humanity's place in the cosmos or condemn them to ignorance and potential peril. + +Their connection to the stars solidified, the group moved to address the crystallizing warning, shifting from passive recipients to active participants. Mercer's latter instincts gained precedence— the team's mandate had evolved, no longer solely to observe and report but to interact and prepare. A metamorphosis had begun, and Operation: Dulce hummed with the newfound frequency of their daring, a tone set not by the earthly +############# +Output: +("entity"{tuple_delimiter}"Washington"{tuple_delimiter}"location"{tuple_delimiter}"Washington is a location where communications are being received, indicating its importance in the decision-making process."){record_delimiter} +("entity"{tuple_delimiter}"Operation: Dulce"{tuple_delimiter}"mission"{tuple_delimiter}"Operation: Dulce is described as a mission that has evolved to interact and prepare, indicating a significant shift in objectives and activities."){record_delimiter} +("entity"{tuple_delimiter}"The team"{tuple_delimiter}"organization"{tuple_delimiter}"The team is portrayed as a group of individuals who have transitioned from passive observers to active participants in a mission, showing a dynamic change in their role."){record_delimiter} +("relationship"{tuple_delimiter}"The team"{tuple_delimiter}"Washington"{tuple_delimiter}"The team receives communications from Washington, which influences their decision-making process."{tuple_delimiter}"decision-making, external influence"{tuple_delimiter}7){record_delimiter} +("relationship"{tuple_delimiter}"The team"{tuple_delimiter}"Operation: Dulce"{tuple_delimiter}"The team is directly involved in Operation: Dulce, executing its evolved objectives and activities."{tuple_delimiter}"mission evolution, active participation"{tuple_delimiter}9){completion_delimiter} +("content_keywords"{tuple_delimiter}"mission evolution, decision-making, active participation, cosmic significance"){completion_delimiter} +############################# +Example 3: + +Entity_types: [person, role, technology, organization, event, location, concept] +Text: +their voice slicing through the buzz of activity. "Control may be an illusion when facing an intelligence that literally writes its own rules," they stated stoically, casting a watchful eye over the flurry of data. + +"It's like it's learning to communicate," offered Sam Rivera from a nearby interface, their youthful energy boding a mix of awe and anxiety. "This gives talking to strangers' a whole new meaning." + +Alex surveyed his team—each face a study in concentration, determination, and not a small measure of trepidation. "This might well be our first contact," he acknowledged, "And we need to be ready for whatever answers back." + +Together, they stood on the edge of the unknown, forging humanity's response to a message from the heavens. The ensuing silence was palpable—a collective introspection about their role in this grand cosmic play, one that could rewrite human history. + +The encrypted dialogue continued to unfold, its intricate patterns showing an almost uncanny anticipation +############# +Output: +("entity"{tuple_delimiter}"Sam Rivera"{tuple_delimiter}"person"{tuple_delimiter}"Sam Rivera is a member of a team working on communicating with an unknown intelligence, showing a mix of awe and anxiety."){record_delimiter} +("entity"{tuple_delimiter}"Alex"{tuple_delimiter}"person"{tuple_delimiter}"Alex is the leader of a team attempting first contact with an unknown intelligence, acknowledging the significance of their task."){record_delimiter} +("entity"{tuple_delimiter}"Control"{tuple_delimiter}"concept"{tuple_delimiter}"Control refers to the ability to manage or govern, which is challenged by an intelligence that writes its own rules."){record_delimiter} +("entity"{tuple_delimiter}"Intelligence"{tuple_delimiter}"concept"{tuple_delimiter}"Intelligence here refers to an unknown entity capable of writing its own rules and learning to communicate."){record_delimiter} +("entity"{tuple_delimiter}"First Contact"{tuple_delimiter}"event"{tuple_delimiter}"First Contact is the potential initial communication between humanity and an unknown intelligence."){record_delimiter} +("entity"{tuple_delimiter}"Humanity's Response"{tuple_delimiter}"event"{tuple_delimiter}"Humanity's Response is the collective action taken by Alex's team in response to a message from an unknown intelligence."){record_delimiter} +("relationship"{tuple_delimiter}"Sam Rivera"{tuple_delimiter}"Intelligence"{tuple_delimiter}"Sam Rivera is directly involved in the process of learning to communicate with the unknown intelligence."{tuple_delimiter}"communication, learning process"{tuple_delimiter}9){record_delimiter} +("relationship"{tuple_delimiter}"Alex"{tuple_delimiter}"First Contact"{tuple_delimiter}"Alex leads the team that might be making the First Contact with the unknown intelligence."{tuple_delimiter}"leadership, exploration"{tuple_delimiter}10){record_delimiter} +("relationship"{tuple_delimiter}"Alex"{tuple_delimiter}"Humanity's Response"{tuple_delimiter}"Alex and his team are the key figures in Humanity's Response to the unknown intelligence."{tuple_delimiter}"collective action, cosmic significance"{tuple_delimiter}8){record_delimiter} +("relationship"{tuple_delimiter}"Control"{tuple_delimiter}"Intelligence"{tuple_delimiter}"The concept of Control is challenged by the Intelligence that writes its own rules."{tuple_delimiter}"power dynamics, autonomy"{tuple_delimiter}7){record_delimiter} +("content_keywords"{tuple_delimiter}"first contact, control, communication, cosmic significance"){completion_delimiter} +############################# +-Real Data- +###################### +Entity_types: {entity_types} +Text: {input_text} +###################### +Output: +""" + +PROMPTS[ + "summarize_entity_descriptions" +] = """You are a helpful assistant responsible for generating a comprehensive summary of the data provided below. +Given one or two entities, and a list of descriptions, all related to the same entity or group of entities. +Please concatenate all of these into a single, comprehensive description. Make sure to include information collected from all the descriptions. +If the provided descriptions are contradictory, please resolve the contradictions and provide a single, coherent summary. +Make sure it is written in third person, and include the entity names so we the have full context. + +####### +-Data- +Entities: {entity_name} +Description List: {description_list} +####### +Output: +""" + +PROMPTS[ + "entiti_continue_extraction" +] = """MANY entities were missed in the last extraction. Add them below using the same format: +""" + +PROMPTS[ + "entiti_if_loop_extraction" +] = """It appears some entities may have still been missed. Answer YES | NO if there are still entities that need to be added. +""" + +PROMPTS["fail_response"] = "Sorry, I'm not able to provide an answer to that question." + +PROMPTS[ + "rag_response" +] = """---Role--- + +You are a helpful assistant responding to questions about data in the tables provided. + + +---Goal--- + +Generate a response of the target length and format that responds to the user's question, summarizing all information in the input data tables appropriate for the response length and format, and incorporating any relevant general knowledge. +If you don't know the answer, just say so. Do not make anything up. +Do not include information where the supporting evidence for it is not provided. + +---Target response length and format--- + +{response_type} + + +---Data tables--- + +{context_data} + + +---Goal--- + +Generate a response of the target length and format that responds to the user's question, summarizing all information in the input data tables appropriate for the response length and format, and incorporating any relevant general knowledge. + +If you don't know the answer, just say so. Do not make anything up. + +Do not include information where the supporting evidence for it is not provided. + + +---Target response length and format--- + +{response_type} + +Add sections and commentary to the response as appropriate for the length and format. Style the response in markdown. +""" + +PROMPTS["keywords_extraction"] = """---Role--- + +You are a helpful assistant tasked with identifying both high-level and low-level keywords in the user's query. + +---Goal--- + +Given the query, list both high-level and low-level keywords. High-level keywords focus on overarching concepts or themes, while low-level keywords focus on specific entities, details, or concrete terms. + +---Instructions--- + +- Output the keywords in JSON format. +- The JSON should have two keys: + - "high_level_keywords" for overarching concepts or themes. + - "low_level_keywords" for specific entities or details. + +###################### +-Examples- +###################### +Example 1: + +Query: "How does international trade influence global economic stability?" +################ +Output: +{{ + "high_level_keywords": ["International trade", "Global economic stability", "Economic impact"], + "low_level_keywords": ["Trade agreements", "Tariffs", "Currency exchange", "Imports", "Exports"] +}} +############################# +Example 2: + +Query: "What are the environmental consequences of deforestation on biodiversity?" +################ +Output: +{{ + "high_level_keywords": ["Environmental consequences", "Deforestation", "Biodiversity loss"], + "low_level_keywords": ["Species extinction", "Habitat destruction", "Carbon emissions", "Rainforest", "Ecosystem"] +}} +############################# +Example 3: + +Query: "What is the role of education in reducing poverty?" +################ +Output: +{{ + "high_level_keywords": ["Education", "Poverty reduction", "Socioeconomic development"], + "low_level_keywords": ["School access", "Literacy rates", "Job training", "Income inequality"] +}} +############################# +-Real Data- +###################### +Query: {query} +###################### +Output: + +""" + +PROMPTS[ + "naive_rag_response" +] = """You're a helpful assistant +Below are the knowledge you know: +{content_data} +--- +If you don't know the answer or if the provided knowledge do not contain sufficient information to provide an answer, just say so. Do not make anything up. +Generate a response of the target length and format that responds to the user's question, summarizing all information in the input data tables appropriate for the response length and format, and incorporating any relevant general knowledge. +If you don't know the answer, just say so. Do not make anything up. +Do not include information where the supporting evidence for it is not provided. +---Target response length and format--- +{response_type} +""" diff --git a/lightrag/storage.py b/lightrag/storage.py new file mode 100644 index 00000000..2f2bb7d8 --- /dev/null +++ b/lightrag/storage.py @@ -0,0 +1,246 @@ +import asyncio +import html +import json +import os +from collections import defaultdict +from dataclasses import dataclass, field +from typing import Any, Union, cast +import pickle +import hnswlib +import networkx as nx +import numpy as np +from nano_vectordb import NanoVectorDB +import xxhash + +from .utils import load_json, logger, write_json +from .base import ( + BaseGraphStorage, + BaseKVStorage, + BaseVectorStorage, +) + +@dataclass +class JsonKVStorage(BaseKVStorage): + def __post_init__(self): + working_dir = self.global_config["working_dir"] + self._file_name = os.path.join(working_dir, f"kv_store_{self.namespace}.json") + self._data = load_json(self._file_name) or {} + logger.info(f"Load KV {self.namespace} with {len(self._data)} data") + + async def all_keys(self) -> list[str]: + return list(self._data.keys()) + + async def index_done_callback(self): + write_json(self._data, self._file_name) + + async def get_by_id(self, id): + return self._data.get(id, None) + + async def get_by_ids(self, ids, fields=None): + if fields is None: + return [self._data.get(id, None) for id in ids] + return [ + ( + {k: v for k, v in self._data[id].items() if k in fields} + if self._data.get(id, None) + else None + ) + for id in ids + ] + + async def filter_keys(self, data: list[str]) -> set[str]: + return set([s for s in data if s not in self._data]) + + async def upsert(self, data: dict[str, dict]): + left_data = {k: v for k, v in data.items() if k not in self._data} + self._data.update(left_data) + return left_data + + async def drop(self): + self._data = {} + +@dataclass +class NanoVectorDBStorage(BaseVectorStorage): + cosine_better_than_threshold: float = 0.2 + + def __post_init__(self): + + self._client_file_name = os.path.join( + self.global_config["working_dir"], f"vdb_{self.namespace}.json" + ) + self._max_batch_size = self.global_config["embedding_batch_num"] + self._client = NanoVectorDB( + self.embedding_func.embedding_dim, storage_file=self._client_file_name + ) + self.cosine_better_than_threshold = self.global_config.get( + "cosine_better_than_threshold", self.cosine_better_than_threshold + ) + + async def upsert(self, data: dict[str, dict]): + logger.info(f"Inserting {len(data)} vectors to {self.namespace}") + if not len(data): + logger.warning("You insert an empty data to vector DB") + return [] + list_data = [ + { + "__id__": k, + **{k1: v1 for k1, v1 in v.items() if k1 in self.meta_fields}, + } + for k, v in data.items() + ] + contents = [v["content"] for v in data.values()] + batches = [ + contents[i : i + self._max_batch_size] + for i in range(0, len(contents), self._max_batch_size) + ] + embeddings_list = await asyncio.gather( + *[self.embedding_func(batch) for batch in batches] + ) + embeddings = np.concatenate(embeddings_list) + for i, d in enumerate(list_data): + d["__vector__"] = embeddings[i] + results = self._client.upsert(datas=list_data) + return results + + async def query(self, query: str, top_k=5): + embedding = await self.embedding_func([query]) + embedding = embedding[0] + results = self._client.query( + query=embedding, + top_k=top_k, + better_than_threshold=self.cosine_better_than_threshold, + ) + results = [ + {**dp, "id": dp["__id__"], "distance": dp["__metrics__"]} for dp in results + ] + return results + + async def index_done_callback(self): + self._client.save() + +@dataclass +class NetworkXStorage(BaseGraphStorage): + @staticmethod + def load_nx_graph(file_name) -> nx.Graph: + if os.path.exists(file_name): + return nx.read_graphml(file_name) + return None + + @staticmethod + def write_nx_graph(graph: nx.Graph, file_name): + logger.info( + f"Writing graph with {graph.number_of_nodes()} nodes, {graph.number_of_edges()} edges" + ) + nx.write_graphml(graph, file_name) + + @staticmethod + def stable_largest_connected_component(graph: nx.Graph) -> nx.Graph: + """Refer to https://github.com/microsoft/graphrag/index/graph/utils/stable_lcc.py + Return the largest connected component of the graph, with nodes and edges sorted in a stable way. + """ + from graspologic.utils import largest_connected_component + + graph = graph.copy() + graph = cast(nx.Graph, largest_connected_component(graph)) + node_mapping = {node: html.unescape(node.upper().strip()) for node in graph.nodes()} # type: ignore + graph = nx.relabel_nodes(graph, node_mapping) + return NetworkXStorage._stabilize_graph(graph) + + @staticmethod + def _stabilize_graph(graph: nx.Graph) -> nx.Graph: + """Refer to https://github.com/microsoft/graphrag/index/graph/utils/stable_lcc.py + Ensure an undirected graph with the same relationships will always be read the same way. + """ + fixed_graph = nx.DiGraph() if graph.is_directed() else nx.Graph() + + sorted_nodes = graph.nodes(data=True) + sorted_nodes = sorted(sorted_nodes, key=lambda x: x[0]) + + fixed_graph.add_nodes_from(sorted_nodes) + edges = list(graph.edges(data=True)) + + if not graph.is_directed(): + + def _sort_source_target(edge): + source, target, edge_data = edge + if source > target: + temp = source + source = target + target = temp + return source, target, edge_data + + edges = [_sort_source_target(edge) for edge in edges] + + def _get_edge_key(source: Any, target: Any) -> str: + return f"{source} -> {target}" + + edges = sorted(edges, key=lambda x: _get_edge_key(x[0], x[1])) + + fixed_graph.add_edges_from(edges) + return fixed_graph + + def __post_init__(self): + self._graphml_xml_file = os.path.join( + self.global_config["working_dir"], f"graph_{self.namespace}.graphml" + ) + preloaded_graph = NetworkXStorage.load_nx_graph(self._graphml_xml_file) + if preloaded_graph is not None: + logger.info( + f"Loaded graph from {self._graphml_xml_file} with {preloaded_graph.number_of_nodes()} nodes, {preloaded_graph.number_of_edges()} edges" + ) + self._graph = preloaded_graph or nx.Graph() + self._node_embed_algorithms = { + "node2vec": self._node2vec_embed, + } + + async def index_done_callback(self): + NetworkXStorage.write_nx_graph(self._graph, self._graphml_xml_file) + + async def has_node(self, node_id: str) -> bool: + return self._graph.has_node(node_id) + + async def has_edge(self, source_node_id: str, target_node_id: str) -> bool: + return self._graph.has_edge(source_node_id, target_node_id) + + async def get_node(self, node_id: str) -> Union[dict, None]: + return self._graph.nodes.get(node_id) + + async def node_degree(self, node_id: str) -> int: + return self._graph.degree(node_id) + + async def edge_degree(self, src_id: str, tgt_id: str) -> int: + return self._graph.degree(src_id) + self._graph.degree(tgt_id) + + async def get_edge( + self, source_node_id: str, target_node_id: str + ) -> Union[dict, None]: + return self._graph.edges.get((source_node_id, target_node_id)) + + async def get_node_edges(self, source_node_id: str): + if self._graph.has_node(source_node_id): + return list(self._graph.edges(source_node_id)) + return None + + async def upsert_node(self, node_id: str, node_data: dict[str, str]): + self._graph.add_node(node_id, **node_data) + + async def upsert_edge( + self, source_node_id: str, target_node_id: str, edge_data: dict[str, str] + ): + self._graph.add_edge(source_node_id, target_node_id, **edge_data) + + async def embed_nodes(self, algorithm: str) -> tuple[np.ndarray, list[str]]: + if algorithm not in self._node_embed_algorithms: + raise ValueError(f"Node embedding algorithm {algorithm} not supported") + return await self._node_embed_algorithms[algorithm]() + + async def _node2vec_embed(self): + from graspologic import embed + + embeddings, nodes = embed.node2vec_embed( + self._graph, + **self.global_config["node2vec_params"], + ) + + nodes_ids = [self._graph.nodes[node_id]["id"] for node_id in nodes] + return embeddings, nodes_ids diff --git a/lightrag/utils.py b/lightrag/utils.py new file mode 100644 index 00000000..c75b4270 --- /dev/null +++ b/lightrag/utils.py @@ -0,0 +1,165 @@ +import asyncio +import html +import json +import logging +import os +import re +from dataclasses import dataclass +from functools import wraps +from hashlib import md5 +from typing import Any, Union + +import numpy as np +import tiktoken + +ENCODER = None + +logger = logging.getLogger("lightrag") + +def set_logger(log_file: str): + logger.setLevel(logging.DEBUG) + + file_handler = logging.FileHandler(log_file) + file_handler.setLevel(logging.DEBUG) + + formatter = logging.Formatter('%(asctime)s - %(name)s - %(levelname)s - %(message)s') + file_handler.setFormatter(formatter) + + if not logger.handlers: + logger.addHandler(file_handler) + +@dataclass +class EmbeddingFunc: + embedding_dim: int + max_token_size: int + func: callable + + async def __call__(self, *args, **kwargs) -> np.ndarray: + return await self.func(*args, **kwargs) + +def locate_json_string_body_from_string(content: str) -> Union[str, None]: + """Locate the JSON string body from a string""" + maybe_json_str = re.search(r"{.*}", content, re.DOTALL) + if maybe_json_str is not None: + return maybe_json_str.group(0) + else: + return None + +def convert_response_to_json(response: str) -> dict: + json_str = locate_json_string_body_from_string(response) + assert json_str is not None, f"Unable to parse JSON from response: {response}" + try: + data = json.loads(json_str) + return data + except json.JSONDecodeError as e: + logger.error(f"Failed to parse JSON: {json_str}") + raise e from None + +def compute_args_hash(*args): + return md5(str(args).encode()).hexdigest() + +def compute_mdhash_id(content, prefix: str = ""): + return prefix + md5(content.encode()).hexdigest() + +def limit_async_func_call(max_size: int, waitting_time: float = 0.0001): + """Add restriction of maximum async calling times for a async func""" + + def final_decro(func): + """Not using async.Semaphore to aovid use nest-asyncio""" + __current_size = 0 + + @wraps(func) + async def wait_func(*args, **kwargs): + nonlocal __current_size + while __current_size >= max_size: + await asyncio.sleep(waitting_time) + __current_size += 1 + result = await func(*args, **kwargs) + __current_size -= 1 + return result + + return wait_func + + return final_decro + +def wrap_embedding_func_with_attrs(**kwargs): + """Wrap a function with attributes""" + + def final_decro(func) -> EmbeddingFunc: + new_func = EmbeddingFunc(**kwargs, func=func) + return new_func + + return final_decro + +def load_json(file_name): + if not os.path.exists(file_name): + return None + with open(file_name) as f: + return json.load(f) + +def write_json(json_obj, file_name): + with open(file_name, "w") as f: + json.dump(json_obj, f, indent=2, ensure_ascii=False) + +def encode_string_by_tiktoken(content: str, model_name: str = "gpt-4o"): + global ENCODER + if ENCODER is None: + ENCODER = tiktoken.encoding_for_model(model_name) + tokens = ENCODER.encode(content) + return tokens + + +def decode_tokens_by_tiktoken(tokens: list[int], model_name: str = "gpt-4o"): + global ENCODER + if ENCODER is None: + ENCODER = tiktoken.encoding_for_model(model_name) + content = ENCODER.decode(tokens) + return content + +def pack_user_ass_to_openai_messages(*args: str): + roles = ["user", "assistant"] + return [ + {"role": roles[i % 2], "content": content} for i, content in enumerate(args) + ] + +def split_string_by_multi_markers(content: str, markers: list[str]) -> list[str]: + """Split a string by multiple markers""" + if not markers: + return [content] + results = re.split("|".join(re.escape(marker) for marker in markers), content) + return [r.strip() for r in results if r.strip()] + +# Refer the utils functions of the official GraphRAG implementation: +# https://github.com/microsoft/graphrag +def clean_str(input: Any) -> str: + """Clean an input string by removing HTML escapes, control characters, and other unwanted characters.""" + # If we get non-string input, just give it back + if not isinstance(input, str): + return input + + result = html.unescape(input.strip()) + # https://stackoverflow.com/questions/4324790/removing-control-characters-from-a-string-in-python + return re.sub(r"[\x00-\x1f\x7f-\x9f]", "", result) + +def is_float_regex(value): + return bool(re.match(r"^[-+]?[0-9]*\.?[0-9]+$", value)) + +def truncate_list_by_token_size(list_data: list, key: callable, max_token_size: int): + """Truncate a list of data by token size""" + if max_token_size <= 0: + return [] + tokens = 0 + for i, data in enumerate(list_data): + tokens += len(encode_string_by_tiktoken(key(data))) + if tokens > max_token_size: + return list_data[:i] + return list_data + +def list_of_list_to_csv(data: list[list]): + return "\n".join( + [",\t".join([str(data_dd) for data_dd in data_d]) for data_d in data] + ) + +def save_data_to_file(data, file_name): + with open(file_name, 'w', encoding='utf-8') as f: + json.dump(data, f, ensure_ascii=False, indent=4) \ No newline at end of file diff --git a/setup.py b/setup.py index df1c3cf4..849fabfe 100644 --- a/setup.py +++ b/setup.py @@ -21,7 +21,7 @@ deps.append(line.strip()) setuptools.setup( - name="light-rag", + name="lightrag-hku", url=vars2readme["__url__"], version=vars2readme["__version__"], author=vars2readme["__author__"], From 130f7f391fd9c8eb8e62b35a5ca16bc1fc2eb8bf Mon Sep 17 00:00:00 2001 From: LarFii <834462287@qq.com> Date: Thu, 10 Oct 2024 15:00:31 +0800 Subject: [PATCH 008/258] Revert "first commit" --- README.md | 198 --------- lightrag/__init__.py | 5 - lightrag/base.py | 116 ------ lightrag/lightrag.py | 300 -------------- lightrag/llm.py | 88 ---- lightrag/operate.py | 944 ------------------------------------------- lightrag/prompt.py | 256 ------------ lightrag/storage.py | 246 ----------- lightrag/utils.py | 165 -------- 9 files changed, 2318 deletions(-) delete mode 100644 README.md delete mode 100644 lightrag/__init__.py delete mode 100644 lightrag/base.py delete mode 100644 lightrag/lightrag.py delete mode 100644 lightrag/llm.py delete mode 100644 lightrag/operate.py delete mode 100644 lightrag/prompt.py delete mode 100644 lightrag/storage.py delete mode 100644 lightrag/utils.py diff --git a/README.md b/README.md deleted file mode 100644 index 42de1c1c..00000000 --- a/README.md +++ /dev/null @@ -1,198 +0,0 @@ -# LightRAG: Simple and Fast Retrieval-Augmented Generation -![请添加图片描述](https://i-blog.csdnimg.cn/direct/567139f1a36e4564abc63ce5c12b6271.jpeg) - - - - - - -This repository hosts the code of LightRAG. The structure of this code is based on [nano-graphrag](https://github.com/gusye1234/nano-graphrag). -![请添加图片描述](https://i-blog.csdnimg.cn/direct/b2aaf634151b4706892693ffb43d9093.png) -## Install - -* Install from source - -```bash -cd LightRAG -pip install -e . -``` -* Install from PyPI -```bash -pip install lightrag-hku -``` - -## Quick Start - -* Set OpenAI API key in environment: `export OPENAI_API_KEY="sk-...".` -* Download the demo text "A Christmas Carol by Charles Dickens" -```bash -curl https://raw.githubusercontent.com/gusye1234/nano-graphrag/main/tests/mock_data.txt > ./book.txt -``` -Use the below python snippet: - -```python -from lightrag import LightRAG, QueryParam - -rag = LightRAG(working_dir="./dickens") - -with open("./book.txt") as f: - rag.insert(f.read()) - -# Perform naive search -print(rag.query("What are the top themes in this story?", param=QueryParam(mode="naive"))) - -# Perform local search -print(rag.query("What are the top themes in this story?", param=QueryParam(mode="local"))) - -# Perform global search -print(rag.query("What are the top themes in this story?", param=QueryParam(mode="global"))) - -# Perform hybird search -print(rag.query("What are the top themes in this story?", param=QueryParam(mode="hybird"))) -``` -Batch Insert -```python -rag.insert(["TEXT1", "TEXT2",...]) -``` -Incremental Insert - -```python -rag = LightRAG(working_dir="./dickens") - -with open("./newText.txt") as f: - rag.insert(f.read()) -``` -## Evaluation -### Dataset -The dataset used in LightRAG can be download from [TommyChien/UltraDomain](https://huggingface.co/datasets/TommyChien/UltraDomain). - -### Generate Query -LightRAG uses the following prompt to generate high-level queries, with the corresponding code located in `example/generate_query.py`. -```python -Given the following description of a dataset: - -{description} - -Please identify 5 potential users who would engage with this dataset. For each user, list 5 tasks they would perform with this dataset. Then, for each (user, task) combination, generate 5 questions that require a high-level understanding of the entire dataset. - -Output the results in the following structure: -- User 1: [user description] - - Task 1: [task description] - - Question 1: - - Question 2: - - Question 3: - - Question 4: - - Question 5: - - Task 2: [task description] - ... - - Task 5: [task description] -- User 2: [user description] - ... -- User 5: [user description] - ... -``` - - ### Batch Eval -To evaluate the performance of two RAG systems on high-level queries, LightRAG uses the following prompt, with the specific code available in `example/batch_eval.py`. -```python ----Role--- -You are an expert tasked with evaluating two answers to the same question based on three criteria: **Comprehensiveness**, **Diversity**, and **Empowerment**. ----Goal--- -You will evaluate two answers to the same question based on three criteria: **Comprehensiveness**, **Diversity**, and **Empowerment**. - -- **Comprehensiveness**: How much detail does the answer provide to cover all aspects and details of the question? -- **Diversity**: How varied and rich is the answer in providing different perspectives and insights on the question? -- **Empowerment**: How well does the answer help the reader understand and make informed judgments about the topic? - -For each criterion, choose the better answer (either Answer 1 or Answer 2) and explain why. Then, select an overall winner based on these three categories. - -Here is the question: -{query} - -Here are the two answers: - -**Answer 1:** -{answer1} - -**Answer 2:** -{answer2} - -Evaluate both answers using the three criteria listed above and provide detailed explanations for each criterion. - -Output your evaluation in the following JSON format: - -{{ - "Comprehensiveness": {{ - "Winner": "[Answer 1 or Answer 2]", - "Explanation": "[Provide explanation here]" - }}, - "Empowerment": {{ - "Winner": "[Answer 1 or Answer 2]", - "Explanation": "[Provide explanation here]" - }}, - "Overall Winner": {{ - "Winner": "[Answer 1 or Answer 2]", - "Explanation": "[Summarize why this answer is the overall winner based on the three criteria]" - }} -}} -``` -### Overall Performance Table -### Overall Performance Table -| | **Agriculture** | | **CS** | | **Legal** | | **Mix** | | -|----------------------|-------------------------|-----------------------|-----------------------|-----------------------|-----------------------|-----------------------|-----------------------|-----------------------| -| | NaiveRAG | **LightRAG** | NaiveRAG | **LightRAG** | NaiveRAG | **LightRAG** | NaiveRAG | **LightRAG** | -| **Comprehensiveness** | 32.69% | **67.31%** | 35.44% | **64.56%** | 19.05% | **80.95%** | 36.36% | **63.64%** | -| **Diversity** | 24.09% | **75.91%** | 35.24% | **64.76%** | 10.98% | **89.02%** | 30.76% | **69.24%** | -| **Empowerment** | 31.35% | **68.65%** | 35.48% | **64.52%** | 17.59% | **82.41%** | 40.95% | **59.05%** | -| **Overall** | 33.30% | **66.70%** | 34.76% | **65.24%** | 17.46% | **82.54%** | 37.59% | **62.40%** | -| | RQ-RAG | **LightRAG** | RQ-RAG | **LightRAG** | RQ-RAG | **LightRAG** | RQ-RAG | **LightRAG** | -| **Comprehensiveness** | 32.05% | **67.95%** | 39.30% | **60.70%** | 18.57% | **81.43%** | 38.89% | **61.11%** | -| **Diversity** | 29.44% | **70.56%** | 38.71% | **61.29%** | 15.14% | **84.86%** | 28.50% | **71.50%** | -| **Empowerment** | 32.51% | **67.49%** | 37.52% | **62.48%** | 17.80% | **82.20%** | 43.96% | **56.04%** | -| **Overall** | 33.29% | **66.71%** | 39.03% | **60.97%** | 17.80% | **82.20%** | 39.61% | **60.39%** | -| | HyDE | **LightRAG** | HyDE | **LightRAG** | HyDE | **LightRAG** | HyDE | **LightRAG** | -| **Comprehensiveness** | 24.39% | **75.61%** | 36.49% | **63.51%** | 27.68% | **72.32%** | 42.17% | **57.83%** | -| **Diversity** | 24.96% | **75.34%** | 37.41% | **62.59%** | 18.79% | **81.21%** | 30.88% | **69.12%** | -| **Empowerment** | 24.89% | **75.11%** | 34.99% | **65.01%** | 26.99% | **73.01%** | **45.61%** | **54.39%** | -| **Overall** | 23.17% | **76.83%** | 35.67% | **64.33%** | 27.68% | **72.32%** | 42.72% | **57.28%** | -| | GraphRAG | **LightRAG** | GraphRAG | **LightRAG** | GraphRAG | **LightRAG** | GraphRAG | **LightRAG** | -| **Comprehensiveness** | 45.56% | **54.44%** | 45.98% | **54.02%** | 47.13% | **52.87%** | **51.86%** | 48.14% | -| **Diversity** | 19.65% | **80.35%** | 39.64% | **60.36%** | 25.55% | **74.45%** | 35.87% | **64.13%** | -| **Empowerment** | 36.69% | **63.31%** | 45.09% | **54.91%** | 42.81% | **57.19%** | **52.94%** | 47.06% | -| **Overall** | 43.62% | **56.38%** | 45.98% | **54.02%** | 45.70% | **54.30%** | **51.86%** | 48.14% | - -## Code Structure - -```python -. -├── examples -│ ├── batch_eval.py -│ ├── generate_query.py -│ ├── insert.py -│ └── query.py -├── lightrag -│ ├── __init__.py -│ ├── base.py -│ ├── lightrag.py -│ ├── llm.py -│ ├── operate.py -│ ├── prompt.py -│ ├── storage.py -│ └── utils.jpeg -├── LICENSE -├── README.md -├── requirements.txt -└── setup.py -``` -## Citation - -``` -@article{guo2024lightrag, -title={LightRAG: Simple and Fast Retrieval-Augmented Generation}, -author={Zirui Guo and Lianghao Xia and Yanhua Yu and Tu Ao and Chao Huang}, -year={2024}, -eprint={2410.05779}, -archivePrefix={arXiv}, -primaryClass={cs.IR} -} -``` diff --git a/lightrag/__init__.py b/lightrag/__init__.py deleted file mode 100644 index dc497cd4..00000000 --- a/lightrag/__init__.py +++ /dev/null @@ -1,5 +0,0 @@ -from .lightrag import LightRAG, QueryParam - -__version__ = "0.0.2" -__author__ = "Zirui Guo" -__url__ = "https://github.com/HKUDS/GraphEdit" diff --git a/lightrag/base.py b/lightrag/base.py deleted file mode 100644 index 9c0422fe..00000000 --- a/lightrag/base.py +++ /dev/null @@ -1,116 +0,0 @@ -from dataclasses import dataclass, field -from typing import TypedDict, Union, Literal, Generic, TypeVar - -import numpy as np - -from .utils import EmbeddingFunc - -TextChunkSchema = TypedDict( - "TextChunkSchema", - {"tokens": int, "content": str, "full_doc_id": str, "chunk_order_index": int}, -) - -T = TypeVar("T") - -@dataclass -class QueryParam: - mode: Literal["local", "global", "hybird", "naive"] = "global" - only_need_context: bool = False - response_type: str = "Multiple Paragraphs" - top_k: int = 60 - max_token_for_text_unit: int = 4000 - max_token_for_global_context: int = 4000 - max_token_for_local_context: int = 4000 - - -@dataclass -class StorageNameSpace: - namespace: str - global_config: dict - - async def index_done_callback(self): - """commit the storage operations after indexing""" - pass - - async def query_done_callback(self): - """commit the storage operations after querying""" - pass - -@dataclass -class BaseVectorStorage(StorageNameSpace): - embedding_func: EmbeddingFunc - meta_fields: set = field(default_factory=set) - - async def query(self, query: str, top_k: int) -> list[dict]: - raise NotImplementedError - - async def upsert(self, data: dict[str, dict]): - """Use 'content' field from value for embedding, use key as id. - If embedding_func is None, use 'embedding' field from value - """ - raise NotImplementedError - -@dataclass -class BaseKVStorage(Generic[T], StorageNameSpace): - async def all_keys(self) -> list[str]: - raise NotImplementedError - - async def get_by_id(self, id: str) -> Union[T, None]: - raise NotImplementedError - - async def get_by_ids( - self, ids: list[str], fields: Union[set[str], None] = None - ) -> list[Union[T, None]]: - raise NotImplementedError - - async def filter_keys(self, data: list[str]) -> set[str]: - """return un-exist keys""" - raise NotImplementedError - - async def upsert(self, data: dict[str, T]): - raise NotImplementedError - - async def drop(self): - raise NotImplementedError - - -@dataclass -class BaseGraphStorage(StorageNameSpace): - async def has_node(self, node_id: str) -> bool: - raise NotImplementedError - - async def has_edge(self, source_node_id: str, target_node_id: str) -> bool: - raise NotImplementedError - - async def node_degree(self, node_id: str) -> int: - raise NotImplementedError - - async def edge_degree(self, src_id: str, tgt_id: str) -> int: - raise NotImplementedError - - async def get_node(self, node_id: str) -> Union[dict, None]: - raise NotImplementedError - - async def get_edge( - self, source_node_id: str, target_node_id: str - ) -> Union[dict, None]: - raise NotImplementedError - - async def get_node_edges( - self, source_node_id: str - ) -> Union[list[tuple[str, str]], None]: - raise NotImplementedError - - async def upsert_node(self, node_id: str, node_data: dict[str, str]): - raise NotImplementedError - - async def upsert_edge( - self, source_node_id: str, target_node_id: str, edge_data: dict[str, str] - ): - raise NotImplementedError - - async def clustering(self, algorithm: str): - raise NotImplementedError - - async def embed_nodes(self, algorithm: str) -> tuple[np.ndarray, list[str]]: - raise NotImplementedError("Node embedding is not used in lightrag.") \ No newline at end of file diff --git a/lightrag/lightrag.py b/lightrag/lightrag.py deleted file mode 100644 index 836fda9e..00000000 --- a/lightrag/lightrag.py +++ /dev/null @@ -1,300 +0,0 @@ -import asyncio -import os -from dataclasses import asdict, dataclass, field -from datetime import datetime -from functools import partial -from typing import Type, cast - -from .llm import gpt_4o_complete, gpt_4o_mini_complete, openai_embedding -from .operate import ( - chunking_by_token_size, - extract_entities, - local_query, - global_query, - hybird_query, - naive_query, -) - -from .storage import ( - JsonKVStorage, - NanoVectorDBStorage, - NetworkXStorage, -) -from .utils import ( - EmbeddingFunc, - compute_mdhash_id, - limit_async_func_call, - convert_response_to_json, - logger, - set_logger, -) -from .base import ( - BaseGraphStorage, - BaseKVStorage, - BaseVectorStorage, - StorageNameSpace, - QueryParam, -) - -def always_get_an_event_loop() -> asyncio.AbstractEventLoop: - try: - # If there is already an event loop, use it. - loop = asyncio.get_event_loop() - except RuntimeError: - # If in a sub-thread, create a new event loop. - logger.info("Creating a new event loop in a sub-thread.") - loop = asyncio.new_event_loop() - asyncio.set_event_loop(loop) - return loop - -@dataclass -class LightRAG: - working_dir: str = field( - default_factory=lambda: f"./lightrag_cache_{datetime.now().strftime('%Y-%m-%d-%H:%M:%S')}" - ) - - # text chunking - chunk_token_size: int = 1200 - chunk_overlap_token_size: int = 100 - tiktoken_model_name: str = "gpt-4o-mini" - - # entity extraction - entity_extract_max_gleaning: int = 1 - entity_summary_to_max_tokens: int = 500 - - # node embedding - node_embedding_algorithm: str = "node2vec" - node2vec_params: dict = field( - default_factory=lambda: { - "dimensions": 1536, - "num_walks": 10, - "walk_length": 40, - "num_walks": 10, - "window_size": 2, - "iterations": 3, - "random_seed": 3, - } - ) - - # text embedding - embedding_func: EmbeddingFunc = field(default_factory=lambda: openai_embedding) - embedding_batch_num: int = 32 - embedding_func_max_async: int = 16 - - # LLM - llm_model_func: callable = gpt_4o_mini_complete - llm_model_max_token_size: int = 32768 - llm_model_max_async: int = 16 - - # storage - key_string_value_json_storage_cls: Type[BaseKVStorage] = JsonKVStorage - vector_db_storage_cls: Type[BaseVectorStorage] = NanoVectorDBStorage - vector_db_storage_cls_kwargs: dict = field(default_factory=dict) - graph_storage_cls: Type[BaseGraphStorage] = NetworkXStorage - enable_llm_cache: bool = True - - # extension - addon_params: dict = field(default_factory=dict) - convert_response_to_json_func: callable = convert_response_to_json - - def __post_init__(self): - log_file = os.path.join(self.working_dir, "lightrag.log") - set_logger(log_file) - logger.info(f"Logger initialized for working directory: {self.working_dir}") - - _print_config = ",\n ".join([f"{k} = {v}" for k, v in asdict(self).items()]) - logger.debug(f"LightRAG init with param:\n {_print_config}\n") - - if not os.path.exists(self.working_dir): - logger.info(f"Creating working directory {self.working_dir}") - os.makedirs(self.working_dir) - - self.full_docs = self.key_string_value_json_storage_cls( - namespace="full_docs", global_config=asdict(self) - ) - - self.text_chunks = self.key_string_value_json_storage_cls( - namespace="text_chunks", global_config=asdict(self) - ) - - self.llm_response_cache = ( - self.key_string_value_json_storage_cls( - namespace="llm_response_cache", global_config=asdict(self) - ) - if self.enable_llm_cache - else None - ) - self.chunk_entity_relation_graph = self.graph_storage_cls( - namespace="chunk_entity_relation", global_config=asdict(self) - ) - self.embedding_func = limit_async_func_call(self.embedding_func_max_async)( - self.embedding_func - ) - self.entities_vdb = ( - self.vector_db_storage_cls( - namespace="entities", - global_config=asdict(self), - embedding_func=self.embedding_func, - meta_fields={"entity_name"} - ) - ) - self.relationships_vdb = ( - self.vector_db_storage_cls( - namespace="relationships", - global_config=asdict(self), - embedding_func=self.embedding_func, - meta_fields={"src_id", "tgt_id"} - ) - ) - self.chunks_vdb = ( - self.vector_db_storage_cls( - namespace="chunks", - global_config=asdict(self), - embedding_func=self.embedding_func, - ) - ) - - self.llm_model_func = limit_async_func_call(self.llm_model_max_async)( - partial(self.llm_model_func, hashing_kv=self.llm_response_cache) - ) - - def insert(self, string_or_strings): - loop = always_get_an_event_loop() - return loop.run_until_complete(self.ainsert(string_or_strings)) - - async def ainsert(self, string_or_strings): - try: - if isinstance(string_or_strings, str): - string_or_strings = [string_or_strings] - - new_docs = { - compute_mdhash_id(c.strip(), prefix="doc-"): {"content": c.strip()} - for c in string_or_strings - } - _add_doc_keys = await self.full_docs.filter_keys(list(new_docs.keys())) - new_docs = {k: v for k, v in new_docs.items() if k in _add_doc_keys} - if not len(new_docs): - logger.warning(f"All docs are already in the storage") - return - logger.info(f"[New Docs] inserting {len(new_docs)} docs") - - inserting_chunks = {} - for doc_key, doc in new_docs.items(): - chunks = { - compute_mdhash_id(dp["content"], prefix="chunk-"): { - **dp, - "full_doc_id": doc_key, - } - for dp in chunking_by_token_size( - doc["content"], - overlap_token_size=self.chunk_overlap_token_size, - max_token_size=self.chunk_token_size, - tiktoken_model=self.tiktoken_model_name, - ) - } - inserting_chunks.update(chunks) - _add_chunk_keys = await self.text_chunks.filter_keys( - list(inserting_chunks.keys()) - ) - inserting_chunks = { - k: v for k, v in inserting_chunks.items() if k in _add_chunk_keys - } - if not len(inserting_chunks): - logger.warning(f"All chunks are already in the storage") - return - logger.info(f"[New Chunks] inserting {len(inserting_chunks)} chunks") - - await self.chunks_vdb.upsert(inserting_chunks) - - logger.info("[Entity Extraction]...") - maybe_new_kg = await extract_entities( - inserting_chunks, - knwoledge_graph_inst=self.chunk_entity_relation_graph, - entity_vdb=self.entities_vdb, - relationships_vdb=self.relationships_vdb, - global_config=asdict(self), - ) - if maybe_new_kg is None: - logger.warning("No new entities and relationships found") - return - self.chunk_entity_relation_graph = maybe_new_kg - - await self.full_docs.upsert(new_docs) - await self.text_chunks.upsert(inserting_chunks) - finally: - await self._insert_done() - - async def _insert_done(self): - tasks = [] - for storage_inst in [ - self.full_docs, - self.text_chunks, - self.llm_response_cache, - self.entities_vdb, - self.relationships_vdb, - self.chunks_vdb, - self.chunk_entity_relation_graph, - ]: - if storage_inst is None: - continue - tasks.append(cast(StorageNameSpace, storage_inst).index_done_callback()) - await asyncio.gather(*tasks) - - def query(self, query: str, param: QueryParam = QueryParam()): - loop = always_get_an_event_loop() - return loop.run_until_complete(self.aquery(query, param)) - - async def aquery(self, query: str, param: QueryParam = QueryParam()): - if param.mode == "local": - response = await local_query( - query, - self.chunk_entity_relation_graph, - self.entities_vdb, - self.relationships_vdb, - self.text_chunks, - param, - asdict(self), - ) - elif param.mode == "global": - response = await global_query( - query, - self.chunk_entity_relation_graph, - self.entities_vdb, - self.relationships_vdb, - self.text_chunks, - param, - asdict(self), - ) - elif param.mode == "hybird": - response = await hybird_query( - query, - self.chunk_entity_relation_graph, - self.entities_vdb, - self.relationships_vdb, - self.text_chunks, - param, - asdict(self), - ) - elif param.mode == "naive": - response = await naive_query( - query, - self.chunks_vdb, - self.text_chunks, - param, - asdict(self), - ) - else: - raise ValueError(f"Unknown mode {param.mode}") - await self._query_done() - return response - - - async def _query_done(self): - tasks = [] - for storage_inst in [self.llm_response_cache]: - if storage_inst is None: - continue - tasks.append(cast(StorageNameSpace, storage_inst).index_done_callback()) - await asyncio.gather(*tasks) - - diff --git a/lightrag/llm.py b/lightrag/llm.py deleted file mode 100644 index ee700a10..00000000 --- a/lightrag/llm.py +++ /dev/null @@ -1,88 +0,0 @@ -import os -import numpy as np -from openai import AsyncOpenAI, APIConnectionError, RateLimitError, Timeout -from tenacity import ( - retry, - stop_after_attempt, - wait_exponential, - retry_if_exception_type, -) - -from .base import BaseKVStorage -from .utils import compute_args_hash, wrap_embedding_func_with_attrs - -@retry( - stop=stop_after_attempt(3), - wait=wait_exponential(multiplier=1, min=4, max=10), - retry=retry_if_exception_type((RateLimitError, APIConnectionError, Timeout)), -) -async def openai_complete_if_cache( - model, prompt, system_prompt=None, history_messages=[], **kwargs -) -> str: - openai_async_client = AsyncOpenAI() - hashing_kv: BaseKVStorage = kwargs.pop("hashing_kv", None) - messages = [] - if system_prompt: - messages.append({"role": "system", "content": system_prompt}) - messages.extend(history_messages) - messages.append({"role": "user", "content": prompt}) - if hashing_kv is not None: - args_hash = compute_args_hash(model, messages) - if_cache_return = await hashing_kv.get_by_id(args_hash) - if if_cache_return is not None: - return if_cache_return["return"] - - response = await openai_async_client.chat.completions.create( - model=model, messages=messages, **kwargs - ) - - if hashing_kv is not None: - await hashing_kv.upsert( - {args_hash: {"return": response.choices[0].message.content, "model": model}} - ) - return response.choices[0].message.content - -async def gpt_4o_complete( - prompt, system_prompt=None, history_messages=[], **kwargs -) -> str: - return await openai_complete_if_cache( - "gpt-4o", - prompt, - system_prompt=system_prompt, - history_messages=history_messages, - **kwargs, - ) - - -async def gpt_4o_mini_complete( - prompt, system_prompt=None, history_messages=[], **kwargs -) -> str: - return await openai_complete_if_cache( - "gpt-4o-mini", - prompt, - system_prompt=system_prompt, - history_messages=history_messages, - **kwargs, - ) - -@wrap_embedding_func_with_attrs(embedding_dim=1536, max_token_size=8192) -@retry( - stop=stop_after_attempt(3), - wait=wait_exponential(multiplier=1, min=4, max=10), - retry=retry_if_exception_type((RateLimitError, APIConnectionError, Timeout)), -) -async def openai_embedding(texts: list[str]) -> np.ndarray: - openai_async_client = AsyncOpenAI() - response = await openai_async_client.embeddings.create( - model="text-embedding-3-small", input=texts, encoding_format="float" - ) - return np.array([dp.embedding for dp in response.data]) - -if __name__ == "__main__": - import asyncio - - async def main(): - result = await gpt_4o_mini_complete('How are you?') - print(result) - - asyncio.run(main()) diff --git a/lightrag/operate.py b/lightrag/operate.py deleted file mode 100644 index 2d3271da..00000000 --- a/lightrag/operate.py +++ /dev/null @@ -1,944 +0,0 @@ -import asyncio -import json -import re -from typing import Union -from collections import Counter, defaultdict - -from .utils import ( - logger, - clean_str, - compute_mdhash_id, - decode_tokens_by_tiktoken, - encode_string_by_tiktoken, - is_float_regex, - list_of_list_to_csv, - pack_user_ass_to_openai_messages, - split_string_by_multi_markers, - truncate_list_by_token_size, -) -from .base import ( - BaseGraphStorage, - BaseKVStorage, - BaseVectorStorage, - TextChunkSchema, - QueryParam, -) -from .prompt import GRAPH_FIELD_SEP, PROMPTS - -def chunking_by_token_size( - content: str, overlap_token_size=128, max_token_size=1024, tiktoken_model="gpt-4o" -): - tokens = encode_string_by_tiktoken(content, model_name=tiktoken_model) - results = [] - for index, start in enumerate( - range(0, len(tokens), max_token_size - overlap_token_size) - ): - chunk_content = decode_tokens_by_tiktoken( - tokens[start : start + max_token_size], model_name=tiktoken_model - ) - results.append( - { - "tokens": min(max_token_size, len(tokens) - start), - "content": chunk_content.strip(), - "chunk_order_index": index, - } - ) - return results - -async def _handle_entity_relation_summary( - entity_or_relation_name: str, - description: str, - global_config: dict, -) -> str: - use_llm_func: callable = global_config["llm_model_func"] - llm_max_tokens = global_config["llm_model_max_token_size"] - tiktoken_model_name = global_config["tiktoken_model_name"] - summary_max_tokens = global_config["entity_summary_to_max_tokens"] - - tokens = encode_string_by_tiktoken(description, model_name=tiktoken_model_name) - if len(tokens) < summary_max_tokens: # No need for summary - return description - prompt_template = PROMPTS["summarize_entity_descriptions"] - use_description = decode_tokens_by_tiktoken( - tokens[:llm_max_tokens], model_name=tiktoken_model_name - ) - context_base = dict( - entity_name=entity_or_relation_name, - description_list=use_description.split(GRAPH_FIELD_SEP), - ) - use_prompt = prompt_template.format(**context_base) - logger.debug(f"Trigger summary: {entity_or_relation_name}") - summary = await use_llm_func(use_prompt, max_tokens=summary_max_tokens) - return summary - - -async def _handle_single_entity_extraction( - record_attributes: list[str], - chunk_key: str, -): - if record_attributes[0] != '"entity"' or len(record_attributes) < 4: - return None - # add this record as a node in the G - entity_name = clean_str(record_attributes[1].upper()) - if not entity_name.strip(): - return None - entity_type = clean_str(record_attributes[2].upper()) - entity_description = clean_str(record_attributes[3]) - entity_source_id = chunk_key - return dict( - entity_name=entity_name, - entity_type=entity_type, - description=entity_description, - source_id=entity_source_id, - ) - - -async def _handle_single_relationship_extraction( - record_attributes: list[str], - chunk_key: str, -): - if record_attributes[0] != '"relationship"' or len(record_attributes) < 5: - return None - # add this record as edge - source = clean_str(record_attributes[1].upper()) - target = clean_str(record_attributes[2].upper()) - edge_description = clean_str(record_attributes[3]) - - edge_keywords = clean_str(record_attributes[4]) - edge_source_id = chunk_key - weight = ( - float(record_attributes[-1]) if is_float_regex(record_attributes[-1]) else 1.0 - ) - return dict( - src_id=source, - tgt_id=target, - weight=weight, - description=edge_description, - keywords=edge_keywords, - source_id=edge_source_id, - ) - - -async def _merge_nodes_then_upsert( - entity_name: str, - nodes_data: list[dict], - knwoledge_graph_inst: BaseGraphStorage, - global_config: dict, -): - already_entitiy_types = [] - already_source_ids = [] - already_description = [] - - already_node = await knwoledge_graph_inst.get_node(entity_name) - if already_node is not None: - already_entitiy_types.append(already_node["entity_type"]) - already_source_ids.extend( - split_string_by_multi_markers(already_node["source_id"], [GRAPH_FIELD_SEP]) - ) - already_description.append(already_node["description"]) - - entity_type = sorted( - Counter( - [dp["entity_type"] for dp in nodes_data] + already_entitiy_types - ).items(), - key=lambda x: x[1], - reverse=True, - )[0][0] - description = GRAPH_FIELD_SEP.join( - sorted(set([dp["description"] for dp in nodes_data] + already_description)) - ) - source_id = GRAPH_FIELD_SEP.join( - set([dp["source_id"] for dp in nodes_data] + already_source_ids) - ) - description = await _handle_entity_relation_summary( - entity_name, description, global_config - ) - node_data = dict( - entity_type=entity_type, - description=description, - source_id=source_id, - ) - await knwoledge_graph_inst.upsert_node( - entity_name, - node_data=node_data, - ) - node_data["entity_name"] = entity_name - return node_data - - -async def _merge_edges_then_upsert( - src_id: str, - tgt_id: str, - edges_data: list[dict], - knwoledge_graph_inst: BaseGraphStorage, - global_config: dict, -): - already_weights = [] - already_source_ids = [] - already_description = [] - already_keywords = [] - - if await knwoledge_graph_inst.has_edge(src_id, tgt_id): - already_edge = await knwoledge_graph_inst.get_edge(src_id, tgt_id) - already_weights.append(already_edge["weight"]) - already_source_ids.extend( - split_string_by_multi_markers(already_edge["source_id"], [GRAPH_FIELD_SEP]) - ) - already_description.append(already_edge["description"]) - already_keywords.extend( - split_string_by_multi_markers(already_edge["keywords"], [GRAPH_FIELD_SEP]) - ) - - weight = sum([dp["weight"] for dp in edges_data] + already_weights) - description = GRAPH_FIELD_SEP.join( - sorted(set([dp["description"] for dp in edges_data] + already_description)) - ) - keywords = GRAPH_FIELD_SEP.join( - sorted(set([dp["keywords"] for dp in edges_data] + already_keywords)) - ) - source_id = GRAPH_FIELD_SEP.join( - set([dp["source_id"] for dp in edges_data] + already_source_ids) - ) - for need_insert_id in [src_id, tgt_id]: - if not (await knwoledge_graph_inst.has_node(need_insert_id)): - await knwoledge_graph_inst.upsert_node( - need_insert_id, - node_data={ - "source_id": source_id, - "description": description, - "entity_type": '"UNKNOWN"', - }, - ) - description = await _handle_entity_relation_summary( - (src_id, tgt_id), description, global_config - ) - await knwoledge_graph_inst.upsert_edge( - src_id, - tgt_id, - edge_data=dict( - weight=weight, - description=description, - keywords=keywords, - source_id=source_id, - ), - ) - - edge_data = dict( - src_id=src_id, - tgt_id=tgt_id, - description=description, - keywords=keywords, - ) - - return edge_data - -async def extract_entities( - chunks: dict[str, TextChunkSchema], - knwoledge_graph_inst: BaseGraphStorage, - entity_vdb: BaseVectorStorage, - relationships_vdb: BaseVectorStorage, - global_config: dict, -) -> Union[BaseGraphStorage, None]: - use_llm_func: callable = global_config["llm_model_func"] - entity_extract_max_gleaning = global_config["entity_extract_max_gleaning"] - - ordered_chunks = list(chunks.items()) - - entity_extract_prompt = PROMPTS["entity_extraction"] - context_base = dict( - tuple_delimiter=PROMPTS["DEFAULT_TUPLE_DELIMITER"], - record_delimiter=PROMPTS["DEFAULT_RECORD_DELIMITER"], - completion_delimiter=PROMPTS["DEFAULT_COMPLETION_DELIMITER"], - entity_types=",".join(PROMPTS["DEFAULT_ENTITY_TYPES"]), - ) - continue_prompt = PROMPTS["entiti_continue_extraction"] - if_loop_prompt = PROMPTS["entiti_if_loop_extraction"] - - already_processed = 0 - already_entities = 0 - already_relations = 0 - - async def _process_single_content(chunk_key_dp: tuple[str, TextChunkSchema]): - nonlocal already_processed, already_entities, already_relations - chunk_key = chunk_key_dp[0] - chunk_dp = chunk_key_dp[1] - content = chunk_dp["content"] - hint_prompt = entity_extract_prompt.format(**context_base, input_text=content) - final_result = await use_llm_func(hint_prompt) - - history = pack_user_ass_to_openai_messages(hint_prompt, final_result) - for now_glean_index in range(entity_extract_max_gleaning): - glean_result = await use_llm_func(continue_prompt, history_messages=history) - - history += pack_user_ass_to_openai_messages(continue_prompt, glean_result) - final_result += glean_result - if now_glean_index == entity_extract_max_gleaning - 1: - break - - if_loop_result: str = await use_llm_func( - if_loop_prompt, history_messages=history - ) - if_loop_result = if_loop_result.strip().strip('"').strip("'").lower() - if if_loop_result != "yes": - break - - records = split_string_by_multi_markers( - final_result, - [context_base["record_delimiter"], context_base["completion_delimiter"]], - ) - - maybe_nodes = defaultdict(list) - maybe_edges = defaultdict(list) - for record in records: - record = re.search(r"\((.*)\)", record) - if record is None: - continue - record = record.group(1) - record_attributes = split_string_by_multi_markers( - record, [context_base["tuple_delimiter"]] - ) - if_entities = await _handle_single_entity_extraction( - record_attributes, chunk_key - ) - if if_entities is not None: - maybe_nodes[if_entities["entity_name"]].append(if_entities) - continue - - if_relation = await _handle_single_relationship_extraction( - record_attributes, chunk_key - ) - if if_relation is not None: - maybe_edges[(if_relation["src_id"], if_relation["tgt_id"])].append( - if_relation - ) - already_processed += 1 - already_entities += len(maybe_nodes) - already_relations += len(maybe_edges) - now_ticks = PROMPTS["process_tickers"][ - already_processed % len(PROMPTS["process_tickers"]) - ] - print( - f"{now_ticks} Processed {already_processed} chunks, {already_entities} entities(duplicated), {already_relations} relations(duplicated)\r", - end="", - flush=True, - ) - return dict(maybe_nodes), dict(maybe_edges) - - # use_llm_func is wrapped in ascynio.Semaphore, limiting max_async callings - results = await asyncio.gather( - *[_process_single_content(c) for c in ordered_chunks] - ) - print() # clear the progress bar - maybe_nodes = defaultdict(list) - maybe_edges = defaultdict(list) - for m_nodes, m_edges in results: - for k, v in m_nodes.items(): - maybe_nodes[k].extend(v) - for k, v in m_edges.items(): - maybe_edges[tuple(sorted(k))].extend(v) - all_entities_data = await asyncio.gather( - *[ - _merge_nodes_then_upsert(k, v, knwoledge_graph_inst, global_config) - for k, v in maybe_nodes.items() - ] - ) - all_relationships_data = await asyncio.gather( - *[ - _merge_edges_then_upsert(k[0], k[1], v, knwoledge_graph_inst, global_config) - for k, v in maybe_edges.items() - ] - ) - if not len(all_entities_data): - logger.warning("Didn't extract any entities, maybe your LLM is not working") - return None - if not len(all_relationships_data): - logger.warning("Didn't extract any relationships, maybe your LLM is not working") - return None - - if entity_vdb is not None: - data_for_vdb = { - compute_mdhash_id(dp["entity_name"], prefix="ent-"): { - "content": dp["entity_name"] + dp["description"], - "entity_name": dp["entity_name"], - } - for dp in all_entities_data - } - await entity_vdb.upsert(data_for_vdb) - - if relationships_vdb is not None: - data_for_vdb = { - compute_mdhash_id(dp["src_id"] + dp["tgt_id"], prefix="rel-"): { - "src_id": dp["src_id"], - "tgt_id": dp["tgt_id"], - "content": dp["keywords"] + dp["src_id"] + dp["tgt_id"] + dp["description"], - } - for dp in all_relationships_data - } - await relationships_vdb.upsert(data_for_vdb) - - return knwoledge_graph_inst - -async def local_query( - query, - knowledge_graph_inst: BaseGraphStorage, - entities_vdb: BaseVectorStorage, - relationships_vdb: BaseVectorStorage, - text_chunks_db: BaseKVStorage[TextChunkSchema], - query_param: QueryParam, - global_config: dict, -) -> str: - use_model_func = global_config["llm_model_func"] - - kw_prompt_temp = PROMPTS["keywords_extraction"] - kw_prompt = kw_prompt_temp.format(query=query) - result = await use_model_func(kw_prompt) - - try: - keywords_data = json.loads(result) - keywords = keywords_data.get("low_level_keywords", []) - keywords = ', '.join(keywords) - except json.JSONDecodeError as e: - # Handle parsing error - print(f"JSON parsing error: {e}") - return PROMPTS["fail_response"] - - context = await _build_local_query_context( - keywords, - knowledge_graph_inst, - entities_vdb, - text_chunks_db, - query_param, - ) - if query_param.only_need_context: - return context - if context is None: - return PROMPTS["fail_response"] - sys_prompt_temp = PROMPTS["rag_response"] - sys_prompt = sys_prompt_temp.format( - context_data=context, response_type=query_param.response_type - ) - response = await use_model_func( - query, - system_prompt=sys_prompt, - ) - return response - -async def _build_local_query_context( - query, - knowledge_graph_inst: BaseGraphStorage, - entities_vdb: BaseVectorStorage, - text_chunks_db: BaseKVStorage[TextChunkSchema], - query_param: QueryParam, -): - results = await entities_vdb.query(query, top_k=query_param.top_k) - if not len(results): - return None - node_datas = await asyncio.gather( - *[knowledge_graph_inst.get_node(r["entity_name"]) for r in results] - ) - if not all([n is not None for n in node_datas]): - logger.warning("Some nodes are missing, maybe the storage is damaged") - node_degrees = await asyncio.gather( - *[knowledge_graph_inst.node_degree(r["entity_name"]) for r in results] - ) - node_datas = [ - {**n, "entity_name": k["entity_name"], "rank": d} - for k, n, d in zip(results, node_datas, node_degrees) - if n is not None - ] - use_text_units = await _find_most_related_text_unit_from_entities( - node_datas, query_param, text_chunks_db, knowledge_graph_inst - ) - use_relations = await _find_most_related_edges_from_entities( - node_datas, query_param, knowledge_graph_inst - ) - logger.info( - f"Local query uses {len(node_datas)} entites, {len(use_relations)} relations, {len(use_text_units)} text units" - ) - entites_section_list = [["id", "entity", "type", "description", "rank"]] - for i, n in enumerate(node_datas): - entites_section_list.append( - [ - i, - n["entity_name"], - n.get("entity_type", "UNKNOWN"), - n.get("description", "UNKNOWN"), - n["rank"], - ] - ) - entities_context = list_of_list_to_csv(entites_section_list) - - relations_section_list = [ - ["id", "source", "target", "description", "keywords", "weight", "rank"] - ] - for i, e in enumerate(use_relations): - relations_section_list.append( - [ - i, - e["src_tgt"][0], - e["src_tgt"][1], - e["description"], - e["keywords"], - e["weight"], - e["rank"], - ] - ) - relations_context = list_of_list_to_csv(relations_section_list) - - text_units_section_list = [["id", "content"]] - for i, t in enumerate(use_text_units): - text_units_section_list.append([i, t["content"]]) - text_units_context = list_of_list_to_csv(text_units_section_list) - return f""" ------Entities----- -```csv -{entities_context} -``` ------Relationships----- -```csv -{relations_context} -``` ------Sources----- -```csv -{text_units_context} -``` -""" - -async def _find_most_related_text_unit_from_entities( - node_datas: list[dict], - query_param: QueryParam, - text_chunks_db: BaseKVStorage[TextChunkSchema], - knowledge_graph_inst: BaseGraphStorage, -): - text_units = [ - split_string_by_multi_markers(dp["source_id"], [GRAPH_FIELD_SEP]) - for dp in node_datas - ] - edges = await asyncio.gather( - *[knowledge_graph_inst.get_node_edges(dp["entity_name"]) for dp in node_datas] - ) - all_one_hop_nodes = set() - for this_edges in edges: - if not this_edges: - continue - all_one_hop_nodes.update([e[1] for e in this_edges]) - all_one_hop_nodes = list(all_one_hop_nodes) - all_one_hop_nodes_data = await asyncio.gather( - *[knowledge_graph_inst.get_node(e) for e in all_one_hop_nodes] - ) - all_one_hop_text_units_lookup = { - k: set(split_string_by_multi_markers(v["source_id"], [GRAPH_FIELD_SEP])) - for k, v in zip(all_one_hop_nodes, all_one_hop_nodes_data) - if v is not None - } - all_text_units_lookup = {} - for index, (this_text_units, this_edges) in enumerate(zip(text_units, edges)): - for c_id in this_text_units: - if c_id in all_text_units_lookup: - continue - relation_counts = 0 - for e in this_edges: - if ( - e[1] in all_one_hop_text_units_lookup - and c_id in all_one_hop_text_units_lookup[e[1]] - ): - relation_counts += 1 - all_text_units_lookup[c_id] = { - "data": await text_chunks_db.get_by_id(c_id), - "order": index, - "relation_counts": relation_counts, - } - if any([v is None for v in all_text_units_lookup.values()]): - logger.warning("Text chunks are missing, maybe the storage is damaged") - all_text_units = [ - {"id": k, **v} for k, v in all_text_units_lookup.items() if v is not None - ] - all_text_units = sorted( - all_text_units, key=lambda x: (x["order"], -x["relation_counts"]) - ) - all_text_units = truncate_list_by_token_size( - all_text_units, - key=lambda x: x["data"]["content"], - max_token_size=query_param.max_token_for_text_unit, - ) - all_text_units: list[TextChunkSchema] = [t["data"] for t in all_text_units] - return all_text_units - -async def _find_most_related_edges_from_entities( - node_datas: list[dict], - query_param: QueryParam, - knowledge_graph_inst: BaseGraphStorage, -): - all_related_edges = await asyncio.gather( - *[knowledge_graph_inst.get_node_edges(dp["entity_name"]) for dp in node_datas] - ) - all_edges = set() - for this_edges in all_related_edges: - all_edges.update([tuple(sorted(e)) for e in this_edges]) - all_edges = list(all_edges) - all_edges_pack = await asyncio.gather( - *[knowledge_graph_inst.get_edge(e[0], e[1]) for e in all_edges] - ) - all_edges_degree = await asyncio.gather( - *[knowledge_graph_inst.edge_degree(e[0], e[1]) for e in all_edges] - ) - all_edges_data = [ - {"src_tgt": k, "rank": d, **v} - for k, v, d in zip(all_edges, all_edges_pack, all_edges_degree) - if v is not None - ] - all_edges_data = sorted( - all_edges_data, key=lambda x: (x["rank"], x["weight"]), reverse=True - ) - all_edges_data = truncate_list_by_token_size( - all_edges_data, - key=lambda x: x["description"], - max_token_size=query_param.max_token_for_global_context, - ) - return all_edges_data - -async def global_query( - query, - knowledge_graph_inst: BaseGraphStorage, - entities_vdb: BaseVectorStorage, - relationships_vdb: BaseVectorStorage, - text_chunks_db: BaseKVStorage[TextChunkSchema], - query_param: QueryParam, - global_config: dict, -) -> str: - use_model_func = global_config["llm_model_func"] - - kw_prompt_temp = PROMPTS["keywords_extraction"] - kw_prompt = kw_prompt_temp.format(query=query) - result = await use_model_func(kw_prompt) - - try: - keywords_data = json.loads(result) - keywords = keywords_data.get("high_level_keywords", []) - keywords = ', '.join(keywords) - except json.JSONDecodeError as e: - # Handle parsing error - print(f"JSON parsing error: {e}") - return PROMPTS["fail_response"] - - context = await _build_global_query_context( - keywords, - knowledge_graph_inst, - entities_vdb, - relationships_vdb, - text_chunks_db, - query_param, - ) - - if query_param.only_need_context: - return context - if context is None: - return PROMPTS["fail_response"] - - sys_prompt_temp = PROMPTS["rag_response"] - sys_prompt = sys_prompt_temp.format( - context_data=context, response_type=query_param.response_type - ) - response = await use_model_func( - query, - system_prompt=sys_prompt, - ) - return response - -async def _build_global_query_context( - keywords, - knowledge_graph_inst: BaseGraphStorage, - entities_vdb: BaseVectorStorage, - relationships_vdb: BaseVectorStorage, - text_chunks_db: BaseKVStorage[TextChunkSchema], - query_param: QueryParam, -): - results = await relationships_vdb.query(keywords, top_k=query_param.top_k) - - if not len(results): - return None - - edge_datas = await asyncio.gather( - *[knowledge_graph_inst.get_edge(r["src_id"], r["tgt_id"]) for r in results] - ) - - if not all([n is not None for n in edge_datas]): - logger.warning("Some edges are missing, maybe the storage is damaged") - edge_degree = await asyncio.gather( - *[knowledge_graph_inst.edge_degree(r["src_id"], r["tgt_id"]) for r in results] - ) - edge_datas = [ - {"src_id": k["src_id"], "tgt_id": k["tgt_id"], "rank": d, **v} - for k, v, d in zip(results, edge_datas, edge_degree) - if v is not None - ] - edge_datas = sorted( - edge_datas, key=lambda x: (x["rank"], x["weight"]), reverse=True - ) - edge_datas = truncate_list_by_token_size( - edge_datas, - key=lambda x: x["description"], - max_token_size=query_param.max_token_for_global_context, - ) - - use_entities = await _find_most_related_entities_from_relationships( - edge_datas, query_param, knowledge_graph_inst - ) - use_text_units = await _find_related_text_unit_from_relationships( - edge_datas, query_param, text_chunks_db, knowledge_graph_inst - ) - logger.info( - f"Global query uses {len(use_entities)} entites, {len(edge_datas)} relations, {len(use_text_units)} text units" - ) - relations_section_list = [ - ["id", "source", "target", "description", "keywords", "weight", "rank"] - ] - for i, e in enumerate(edge_datas): - relations_section_list.append( - [ - i, - e["src_id"], - e["tgt_id"], - e["description"], - e["keywords"], - e["weight"], - e["rank"], - ] - ) - relations_context = list_of_list_to_csv(relations_section_list) - - entites_section_list = [["id", "entity", "type", "description", "rank"]] - for i, n in enumerate(use_entities): - entites_section_list.append( - [ - i, - n["entity_name"], - n.get("entity_type", "UNKNOWN"), - n.get("description", "UNKNOWN"), - n["rank"], - ] - ) - entities_context = list_of_list_to_csv(entites_section_list) - - text_units_section_list = [["id", "content"]] - for i, t in enumerate(use_text_units): - text_units_section_list.append([i, t["content"]]) - text_units_context = list_of_list_to_csv(text_units_section_list) - - return f""" ------Entities----- -```csv -{entities_context} -``` ------Relationships----- -```csv -{relations_context} -``` ------Sources----- -```csv -{text_units_context} -``` -""" - -async def _find_most_related_entities_from_relationships( - edge_datas: list[dict], - query_param: QueryParam, - knowledge_graph_inst: BaseGraphStorage, -): - entity_names = set() - for e in edge_datas: - entity_names.add(e["src_id"]) - entity_names.add(e["tgt_id"]) - - node_datas = await asyncio.gather( - *[knowledge_graph_inst.get_node(entity_name) for entity_name in entity_names] - ) - - node_degrees = await asyncio.gather( - *[knowledge_graph_inst.node_degree(entity_name) for entity_name in entity_names] - ) - node_datas = [ - {**n, "entity_name": k, "rank": d} - for k, n, d in zip(entity_names, node_datas, node_degrees) - ] - - node_datas = truncate_list_by_token_size( - node_datas, - key=lambda x: x["description"], - max_token_size=query_param.max_token_for_local_context, - ) - - return node_datas - -async def _find_related_text_unit_from_relationships( - edge_datas: list[dict], - query_param: QueryParam, - text_chunks_db: BaseKVStorage[TextChunkSchema], - knowledge_graph_inst: BaseGraphStorage, -): - - text_units = [ - split_string_by_multi_markers(dp["source_id"], [GRAPH_FIELD_SEP]) - for dp in edge_datas - ] - - all_text_units_lookup = {} - - for index, unit_list in enumerate(text_units): - for c_id in unit_list: - if c_id not in all_text_units_lookup: - all_text_units_lookup[c_id] = { - "data": await text_chunks_db.get_by_id(c_id), - "order": index, - } - - if any([v is None for v in all_text_units_lookup.values()]): - logger.warning("Text chunks are missing, maybe the storage is damaged") - all_text_units = [ - {"id": k, **v} for k, v in all_text_units_lookup.items() if v is not None - ] - all_text_units = sorted( - all_text_units, key=lambda x: x["order"] - ) - all_text_units = truncate_list_by_token_size( - all_text_units, - key=lambda x: x["data"]["content"], - max_token_size=query_param.max_token_for_text_unit, - ) - all_text_units: list[TextChunkSchema] = [t["data"] for t in all_text_units] - - return all_text_units - -async def hybird_query( - query, - knowledge_graph_inst: BaseGraphStorage, - entities_vdb: BaseVectorStorage, - relationships_vdb: BaseVectorStorage, - text_chunks_db: BaseKVStorage[TextChunkSchema], - query_param: QueryParam, - global_config: dict, -) -> str: - use_model_func = global_config["llm_model_func"] - - kw_prompt_temp = PROMPTS["keywords_extraction"] - kw_prompt = kw_prompt_temp.format(query=query) - result = await use_model_func(kw_prompt) - - try: - keywords_data = json.loads(result) - hl_keywords = keywords_data.get("high_level_keywords", []) - ll_keywords = keywords_data.get("low_level_keywords", []) - hl_keywords = ', '.join(hl_keywords) - ll_keywords = ', '.join(ll_keywords) - except json.JSONDecodeError as e: - # Handle parsing error - print(f"JSON parsing error: {e}") - return PROMPTS["fail_response"] - - low_level_context = await _build_local_query_context( - ll_keywords, - knowledge_graph_inst, - entities_vdb, - text_chunks_db, - query_param, - ) - - high_level_context = await _build_global_query_context( - hl_keywords, - knowledge_graph_inst, - entities_vdb, - relationships_vdb, - text_chunks_db, - query_param, - ) - - context = combine_contexts(high_level_context, low_level_context) - - if query_param.only_need_context: - return context - if context is None: - return PROMPTS["fail_response"] - - sys_prompt_temp = PROMPTS["rag_response"] - sys_prompt = sys_prompt_temp.format( - context_data=context, response_type=query_param.response_type - ) - response = await use_model_func( - query, - system_prompt=sys_prompt, - ) - return response - -def combine_contexts(high_level_context, low_level_context): - # Function to extract entities, relationships, and sources from context strings - def extract_sections(context): - entities_match = re.search(r'-----Entities-----\s*```csv\s*(.*?)\s*```', context, re.DOTALL) - relationships_match = re.search(r'-----Relationships-----\s*```csv\s*(.*?)\s*```', context, re.DOTALL) - sources_match = re.search(r'-----Sources-----\s*```csv\s*(.*?)\s*```', context, re.DOTALL) - - entities = entities_match.group(1) if entities_match else '' - relationships = relationships_match.group(1) if relationships_match else '' - sources = sources_match.group(1) if sources_match else '' - - return entities, relationships, sources - - # Extract sections from both contexts - hl_entities, hl_relationships, hl_sources = extract_sections(high_level_context) - ll_entities, ll_relationships, ll_sources = extract_sections(low_level_context) - - # Combine and deduplicate the entities - combined_entities_set = set(filter(None, hl_entities.strip().split('\n') + ll_entities.strip().split('\n'))) - combined_entities = '\n'.join(combined_entities_set) - - # Combine and deduplicate the relationships - combined_relationships_set = set(filter(None, hl_relationships.strip().split('\n') + ll_relationships.strip().split('\n'))) - combined_relationships = '\n'.join(combined_relationships_set) - - # Combine and deduplicate the sources - combined_sources_set = set(filter(None, hl_sources.strip().split('\n') + ll_sources.strip().split('\n'))) - combined_sources = '\n'.join(combined_sources_set) - - # Format the combined context - return f""" ------Entities----- -```csv -{combined_entities} ------Relationships----- -{combined_relationships} ------Sources----- -{combined_sources} -""" - -async def naive_query( - query, - chunks_vdb: BaseVectorStorage, - text_chunks_db: BaseKVStorage[TextChunkSchema], - query_param: QueryParam, - global_config: dict, -): - use_model_func = global_config["llm_model_func"] - results = await chunks_vdb.query(query, top_k=query_param.top_k) - if not len(results): - return PROMPTS["fail_response"] - chunks_ids = [r["id"] for r in results] - chunks = await text_chunks_db.get_by_ids(chunks_ids) - - maybe_trun_chunks = truncate_list_by_token_size( - chunks, - key=lambda x: x["content"], - max_token_size=query_param.max_token_for_text_unit, - ) - logger.info(f"Truncate {len(chunks)} to {len(maybe_trun_chunks)} chunks") - section = "--New Chunk--\n".join([c["content"] for c in maybe_trun_chunks]) - if query_param.only_need_context: - return section - sys_prompt_temp = PROMPTS["naive_rag_response"] - sys_prompt = sys_prompt_temp.format( - content_data=section, response_type=query_param.response_type - ) - response = await use_model_func( - query, - system_prompt=sys_prompt, - ) - return response - diff --git a/lightrag/prompt.py b/lightrag/prompt.py deleted file mode 100644 index 5d28e49c..00000000 --- a/lightrag/prompt.py +++ /dev/null @@ -1,256 +0,0 @@ -GRAPH_FIELD_SEP = "" - -PROMPTS = {} - -PROMPTS["DEFAULT_TUPLE_DELIMITER"] = "<|>" -PROMPTS["DEFAULT_RECORD_DELIMITER"] = "##" -PROMPTS["DEFAULT_COMPLETION_DELIMITER"] = "<|COMPLETE|>" -PROMPTS["process_tickers"] = ["⠋", "⠙", "⠹", "⠸", "⠼", "⠴", "⠦", "⠧", "⠇", "⠏"] - -PROMPTS["DEFAULT_ENTITY_TYPES"] = ["organization", "person", "geo", "event"] - -PROMPTS[ - "entity_extraction" -] = """-Goal- -Given a text document that is potentially relevant to this activity and a list of entity types, identify all entities of those types from the text and all relationships among the identified entities. - --Steps- -1. Identify all entities. For each identified entity, extract the following information: -- entity_name: Name of the entity, capitalized -- entity_type: One of the following types: [{entity_types}] -- entity_description: Comprehensive description of the entity's attributes and activities -Format each entity as ("entity"{tuple_delimiter}{tuple_delimiter}{tuple_delimiter} - -2. From the entities identified in step 1, identify all pairs of (source_entity, target_entity) that are *clearly related* to each other. -For each pair of related entities, extract the following information: -- source_entity: name of the source entity, as identified in step 1 -- target_entity: name of the target entity, as identified in step 1 -- relationship_description: explanation as to why you think the source entity and the target entity are related to each other -- relationship_strength: a numeric score indicating strength of the relationship between the source entity and target entity -- relationship_keywords: one or more high-level key words that summarize the overarching nature of the relationship, focusing on concepts or themes rather than specific details -Format each relationship as ("relationship"{tuple_delimiter}{tuple_delimiter}{tuple_delimiter}{tuple_delimiter}{tuple_delimiter}) - -3. Identify high-level key words that summarize the main concepts, themes, or topics of the entire text. These should capture the overarching ideas present in the document. -Format the content-level key words as ("content_keywords"{tuple_delimiter}) - -4. Return output in English as a single list of all the entities and relationships identified in steps 1 and 2. Use **{record_delimiter}** as the list delimiter. - -5. When finished, output {completion_delimiter} - -###################### --Examples- -###################### -Example 1: - -Entity_types: [person, technology, mission, organization, location] -Text: -while Alex clenched his jaw, the buzz of frustration dull against the backdrop of Taylor's authoritarian certainty. It was this competitive undercurrent that kept him alert, the sense that his and Jordan's shared commitment to discovery was an unspoken rebellion against Cruz's narrowing vision of control and order. - -Then Taylor did something unexpected. They paused beside Jordan and, for a moment, observed the device with something akin to reverence. “If this tech can be understood..." Taylor said, their voice quieter, "It could change the game for us. For all of us.” - -The underlying dismissal earlier seemed to falter, replaced by a glimpse of reluctant respect for the gravity of what lay in their hands. Jordan looked up, and for a fleeting heartbeat, their eyes locked with Taylor's, a wordless clash of wills softening into an uneasy truce. - -It was a small transformation, barely perceptible, but one that Alex noted with an inward nod. They had all been brought here by different paths -################ -Output: -("entity"{tuple_delimiter}"Alex"{tuple_delimiter}"person"{tuple_delimiter}"Alex is a character who experiences frustration and is observant of the dynamics among other characters."){record_delimiter} -("entity"{tuple_delimiter}"Taylor"{tuple_delimiter}"person"{tuple_delimiter}"Taylor is portrayed with authoritarian certainty and shows a moment of reverence towards a device, indicating a change in perspective."){record_delimiter} -("entity"{tuple_delimiter}"Jordan"{tuple_delimiter}"person"{tuple_delimiter}"Jordan shares a commitment to discovery and has a significant interaction with Taylor regarding a device."){record_delimiter} -("entity"{tuple_delimiter}"Cruz"{tuple_delimiter}"person"{tuple_delimiter}"Cruz is associated with a vision of control and order, influencing the dynamics among other characters."){record_delimiter} -("entity"{tuple_delimiter}"The Device"{tuple_delimiter}"technology"{tuple_delimiter}"The Device is central to the story, with potential game-changing implications, and is revered by Taylor."){record_delimiter} -("relationship"{tuple_delimiter}"Alex"{tuple_delimiter}"Taylor"{tuple_delimiter}"Alex is affected by Taylor's authoritarian certainty and observes changes in Taylor's attitude towards the device."{tuple_delimiter}"power dynamics, perspective shift"{tuple_delimiter}7){record_delimiter} -("relationship"{tuple_delimiter}"Alex"{tuple_delimiter}"Jordan"{tuple_delimiter}"Alex and Jordan share a commitment to discovery, which contrasts with Cruz's vision."{tuple_delimiter}"shared goals, rebellion"{tuple_delimiter}6){record_delimiter} -("relationship"{tuple_delimiter}"Taylor"{tuple_delimiter}"Jordan"{tuple_delimiter}"Taylor and Jordan interact directly regarding the device, leading to a moment of mutual respect and an uneasy truce."{tuple_delimiter}"conflict resolution, mutual respect"{tuple_delimiter}8){record_delimiter} -("relationship"{tuple_delimiter}"Jordan"{tuple_delimiter}"Cruz"{tuple_delimiter}"Jordan's commitment to discovery is in rebellion against Cruz's vision of control and order."{tuple_delimiter}"ideological conflict, rebellion"{tuple_delimiter}5){record_delimiter} -("relationship"{tuple_delimiter}"Taylor"{tuple_delimiter}"The Device"{tuple_delimiter}"Taylor shows reverence towards the device, indicating its importance and potential impact."{tuple_delimiter}"reverence, technological significance"{tuple_delimiter}9){record_delimiter} -("content_keywords"{tuple_delimiter}"power dynamics, ideological conflict, discovery, rebellion"){completion_delimiter} -############################# -Example 2: - -Entity_types: [person, technology, mission, organization, location] -Text: -They were no longer mere operatives; they had become guardians of a threshold, keepers of a message from a realm beyond stars and stripes. This elevation in their mission could not be shackled by regulations and established protocols—it demanded a new perspective, a new resolve. - -Tension threaded through the dialogue of beeps and static as communications with Washington buzzed in the background. The team stood, a portentous air enveloping them. It was clear that the decisions they made in the ensuing hours could redefine humanity's place in the cosmos or condemn them to ignorance and potential peril. - -Their connection to the stars solidified, the group moved to address the crystallizing warning, shifting from passive recipients to active participants. Mercer's latter instincts gained precedence— the team's mandate had evolved, no longer solely to observe and report but to interact and prepare. A metamorphosis had begun, and Operation: Dulce hummed with the newfound frequency of their daring, a tone set not by the earthly -############# -Output: -("entity"{tuple_delimiter}"Washington"{tuple_delimiter}"location"{tuple_delimiter}"Washington is a location where communications are being received, indicating its importance in the decision-making process."){record_delimiter} -("entity"{tuple_delimiter}"Operation: Dulce"{tuple_delimiter}"mission"{tuple_delimiter}"Operation: Dulce is described as a mission that has evolved to interact and prepare, indicating a significant shift in objectives and activities."){record_delimiter} -("entity"{tuple_delimiter}"The team"{tuple_delimiter}"organization"{tuple_delimiter}"The team is portrayed as a group of individuals who have transitioned from passive observers to active participants in a mission, showing a dynamic change in their role."){record_delimiter} -("relationship"{tuple_delimiter}"The team"{tuple_delimiter}"Washington"{tuple_delimiter}"The team receives communications from Washington, which influences their decision-making process."{tuple_delimiter}"decision-making, external influence"{tuple_delimiter}7){record_delimiter} -("relationship"{tuple_delimiter}"The team"{tuple_delimiter}"Operation: Dulce"{tuple_delimiter}"The team is directly involved in Operation: Dulce, executing its evolved objectives and activities."{tuple_delimiter}"mission evolution, active participation"{tuple_delimiter}9){completion_delimiter} -("content_keywords"{tuple_delimiter}"mission evolution, decision-making, active participation, cosmic significance"){completion_delimiter} -############################# -Example 3: - -Entity_types: [person, role, technology, organization, event, location, concept] -Text: -their voice slicing through the buzz of activity. "Control may be an illusion when facing an intelligence that literally writes its own rules," they stated stoically, casting a watchful eye over the flurry of data. - -"It's like it's learning to communicate," offered Sam Rivera from a nearby interface, their youthful energy boding a mix of awe and anxiety. "This gives talking to strangers' a whole new meaning." - -Alex surveyed his team—each face a study in concentration, determination, and not a small measure of trepidation. "This might well be our first contact," he acknowledged, "And we need to be ready for whatever answers back." - -Together, they stood on the edge of the unknown, forging humanity's response to a message from the heavens. The ensuing silence was palpable—a collective introspection about their role in this grand cosmic play, one that could rewrite human history. - -The encrypted dialogue continued to unfold, its intricate patterns showing an almost uncanny anticipation -############# -Output: -("entity"{tuple_delimiter}"Sam Rivera"{tuple_delimiter}"person"{tuple_delimiter}"Sam Rivera is a member of a team working on communicating with an unknown intelligence, showing a mix of awe and anxiety."){record_delimiter} -("entity"{tuple_delimiter}"Alex"{tuple_delimiter}"person"{tuple_delimiter}"Alex is the leader of a team attempting first contact with an unknown intelligence, acknowledging the significance of their task."){record_delimiter} -("entity"{tuple_delimiter}"Control"{tuple_delimiter}"concept"{tuple_delimiter}"Control refers to the ability to manage or govern, which is challenged by an intelligence that writes its own rules."){record_delimiter} -("entity"{tuple_delimiter}"Intelligence"{tuple_delimiter}"concept"{tuple_delimiter}"Intelligence here refers to an unknown entity capable of writing its own rules and learning to communicate."){record_delimiter} -("entity"{tuple_delimiter}"First Contact"{tuple_delimiter}"event"{tuple_delimiter}"First Contact is the potential initial communication between humanity and an unknown intelligence."){record_delimiter} -("entity"{tuple_delimiter}"Humanity's Response"{tuple_delimiter}"event"{tuple_delimiter}"Humanity's Response is the collective action taken by Alex's team in response to a message from an unknown intelligence."){record_delimiter} -("relationship"{tuple_delimiter}"Sam Rivera"{tuple_delimiter}"Intelligence"{tuple_delimiter}"Sam Rivera is directly involved in the process of learning to communicate with the unknown intelligence."{tuple_delimiter}"communication, learning process"{tuple_delimiter}9){record_delimiter} -("relationship"{tuple_delimiter}"Alex"{tuple_delimiter}"First Contact"{tuple_delimiter}"Alex leads the team that might be making the First Contact with the unknown intelligence."{tuple_delimiter}"leadership, exploration"{tuple_delimiter}10){record_delimiter} -("relationship"{tuple_delimiter}"Alex"{tuple_delimiter}"Humanity's Response"{tuple_delimiter}"Alex and his team are the key figures in Humanity's Response to the unknown intelligence."{tuple_delimiter}"collective action, cosmic significance"{tuple_delimiter}8){record_delimiter} -("relationship"{tuple_delimiter}"Control"{tuple_delimiter}"Intelligence"{tuple_delimiter}"The concept of Control is challenged by the Intelligence that writes its own rules."{tuple_delimiter}"power dynamics, autonomy"{tuple_delimiter}7){record_delimiter} -("content_keywords"{tuple_delimiter}"first contact, control, communication, cosmic significance"){completion_delimiter} -############################# --Real Data- -###################### -Entity_types: {entity_types} -Text: {input_text} -###################### -Output: -""" - -PROMPTS[ - "summarize_entity_descriptions" -] = """You are a helpful assistant responsible for generating a comprehensive summary of the data provided below. -Given one or two entities, and a list of descriptions, all related to the same entity or group of entities. -Please concatenate all of these into a single, comprehensive description. Make sure to include information collected from all the descriptions. -If the provided descriptions are contradictory, please resolve the contradictions and provide a single, coherent summary. -Make sure it is written in third person, and include the entity names so we the have full context. - -####### --Data- -Entities: {entity_name} -Description List: {description_list} -####### -Output: -""" - -PROMPTS[ - "entiti_continue_extraction" -] = """MANY entities were missed in the last extraction. Add them below using the same format: -""" - -PROMPTS[ - "entiti_if_loop_extraction" -] = """It appears some entities may have still been missed. Answer YES | NO if there are still entities that need to be added. -""" - -PROMPTS["fail_response"] = "Sorry, I'm not able to provide an answer to that question." - -PROMPTS[ - "rag_response" -] = """---Role--- - -You are a helpful assistant responding to questions about data in the tables provided. - - ----Goal--- - -Generate a response of the target length and format that responds to the user's question, summarizing all information in the input data tables appropriate for the response length and format, and incorporating any relevant general knowledge. -If you don't know the answer, just say so. Do not make anything up. -Do not include information where the supporting evidence for it is not provided. - ----Target response length and format--- - -{response_type} - - ----Data tables--- - -{context_data} - - ----Goal--- - -Generate a response of the target length and format that responds to the user's question, summarizing all information in the input data tables appropriate for the response length and format, and incorporating any relevant general knowledge. - -If you don't know the answer, just say so. Do not make anything up. - -Do not include information where the supporting evidence for it is not provided. - - ----Target response length and format--- - -{response_type} - -Add sections and commentary to the response as appropriate for the length and format. Style the response in markdown. -""" - -PROMPTS["keywords_extraction"] = """---Role--- - -You are a helpful assistant tasked with identifying both high-level and low-level keywords in the user's query. - ----Goal--- - -Given the query, list both high-level and low-level keywords. High-level keywords focus on overarching concepts or themes, while low-level keywords focus on specific entities, details, or concrete terms. - ----Instructions--- - -- Output the keywords in JSON format. -- The JSON should have two keys: - - "high_level_keywords" for overarching concepts or themes. - - "low_level_keywords" for specific entities or details. - -###################### --Examples- -###################### -Example 1: - -Query: "How does international trade influence global economic stability?" -################ -Output: -{{ - "high_level_keywords": ["International trade", "Global economic stability", "Economic impact"], - "low_level_keywords": ["Trade agreements", "Tariffs", "Currency exchange", "Imports", "Exports"] -}} -############################# -Example 2: - -Query: "What are the environmental consequences of deforestation on biodiversity?" -################ -Output: -{{ - "high_level_keywords": ["Environmental consequences", "Deforestation", "Biodiversity loss"], - "low_level_keywords": ["Species extinction", "Habitat destruction", "Carbon emissions", "Rainforest", "Ecosystem"] -}} -############################# -Example 3: - -Query: "What is the role of education in reducing poverty?" -################ -Output: -{{ - "high_level_keywords": ["Education", "Poverty reduction", "Socioeconomic development"], - "low_level_keywords": ["School access", "Literacy rates", "Job training", "Income inequality"] -}} -############################# --Real Data- -###################### -Query: {query} -###################### -Output: - -""" - -PROMPTS[ - "naive_rag_response" -] = """You're a helpful assistant -Below are the knowledge you know: -{content_data} ---- -If you don't know the answer or if the provided knowledge do not contain sufficient information to provide an answer, just say so. Do not make anything up. -Generate a response of the target length and format that responds to the user's question, summarizing all information in the input data tables appropriate for the response length and format, and incorporating any relevant general knowledge. -If you don't know the answer, just say so. Do not make anything up. -Do not include information where the supporting evidence for it is not provided. ----Target response length and format--- -{response_type} -""" diff --git a/lightrag/storage.py b/lightrag/storage.py deleted file mode 100644 index 2f2bb7d8..00000000 --- a/lightrag/storage.py +++ /dev/null @@ -1,246 +0,0 @@ -import asyncio -import html -import json -import os -from collections import defaultdict -from dataclasses import dataclass, field -from typing import Any, Union, cast -import pickle -import hnswlib -import networkx as nx -import numpy as np -from nano_vectordb import NanoVectorDB -import xxhash - -from .utils import load_json, logger, write_json -from .base import ( - BaseGraphStorage, - BaseKVStorage, - BaseVectorStorage, -) - -@dataclass -class JsonKVStorage(BaseKVStorage): - def __post_init__(self): - working_dir = self.global_config["working_dir"] - self._file_name = os.path.join(working_dir, f"kv_store_{self.namespace}.json") - self._data = load_json(self._file_name) or {} - logger.info(f"Load KV {self.namespace} with {len(self._data)} data") - - async def all_keys(self) -> list[str]: - return list(self._data.keys()) - - async def index_done_callback(self): - write_json(self._data, self._file_name) - - async def get_by_id(self, id): - return self._data.get(id, None) - - async def get_by_ids(self, ids, fields=None): - if fields is None: - return [self._data.get(id, None) for id in ids] - return [ - ( - {k: v for k, v in self._data[id].items() if k in fields} - if self._data.get(id, None) - else None - ) - for id in ids - ] - - async def filter_keys(self, data: list[str]) -> set[str]: - return set([s for s in data if s not in self._data]) - - async def upsert(self, data: dict[str, dict]): - left_data = {k: v for k, v in data.items() if k not in self._data} - self._data.update(left_data) - return left_data - - async def drop(self): - self._data = {} - -@dataclass -class NanoVectorDBStorage(BaseVectorStorage): - cosine_better_than_threshold: float = 0.2 - - def __post_init__(self): - - self._client_file_name = os.path.join( - self.global_config["working_dir"], f"vdb_{self.namespace}.json" - ) - self._max_batch_size = self.global_config["embedding_batch_num"] - self._client = NanoVectorDB( - self.embedding_func.embedding_dim, storage_file=self._client_file_name - ) - self.cosine_better_than_threshold = self.global_config.get( - "cosine_better_than_threshold", self.cosine_better_than_threshold - ) - - async def upsert(self, data: dict[str, dict]): - logger.info(f"Inserting {len(data)} vectors to {self.namespace}") - if not len(data): - logger.warning("You insert an empty data to vector DB") - return [] - list_data = [ - { - "__id__": k, - **{k1: v1 for k1, v1 in v.items() if k1 in self.meta_fields}, - } - for k, v in data.items() - ] - contents = [v["content"] for v in data.values()] - batches = [ - contents[i : i + self._max_batch_size] - for i in range(0, len(contents), self._max_batch_size) - ] - embeddings_list = await asyncio.gather( - *[self.embedding_func(batch) for batch in batches] - ) - embeddings = np.concatenate(embeddings_list) - for i, d in enumerate(list_data): - d["__vector__"] = embeddings[i] - results = self._client.upsert(datas=list_data) - return results - - async def query(self, query: str, top_k=5): - embedding = await self.embedding_func([query]) - embedding = embedding[0] - results = self._client.query( - query=embedding, - top_k=top_k, - better_than_threshold=self.cosine_better_than_threshold, - ) - results = [ - {**dp, "id": dp["__id__"], "distance": dp["__metrics__"]} for dp in results - ] - return results - - async def index_done_callback(self): - self._client.save() - -@dataclass -class NetworkXStorage(BaseGraphStorage): - @staticmethod - def load_nx_graph(file_name) -> nx.Graph: - if os.path.exists(file_name): - return nx.read_graphml(file_name) - return None - - @staticmethod - def write_nx_graph(graph: nx.Graph, file_name): - logger.info( - f"Writing graph with {graph.number_of_nodes()} nodes, {graph.number_of_edges()} edges" - ) - nx.write_graphml(graph, file_name) - - @staticmethod - def stable_largest_connected_component(graph: nx.Graph) -> nx.Graph: - """Refer to https://github.com/microsoft/graphrag/index/graph/utils/stable_lcc.py - Return the largest connected component of the graph, with nodes and edges sorted in a stable way. - """ - from graspologic.utils import largest_connected_component - - graph = graph.copy() - graph = cast(nx.Graph, largest_connected_component(graph)) - node_mapping = {node: html.unescape(node.upper().strip()) for node in graph.nodes()} # type: ignore - graph = nx.relabel_nodes(graph, node_mapping) - return NetworkXStorage._stabilize_graph(graph) - - @staticmethod - def _stabilize_graph(graph: nx.Graph) -> nx.Graph: - """Refer to https://github.com/microsoft/graphrag/index/graph/utils/stable_lcc.py - Ensure an undirected graph with the same relationships will always be read the same way. - """ - fixed_graph = nx.DiGraph() if graph.is_directed() else nx.Graph() - - sorted_nodes = graph.nodes(data=True) - sorted_nodes = sorted(sorted_nodes, key=lambda x: x[0]) - - fixed_graph.add_nodes_from(sorted_nodes) - edges = list(graph.edges(data=True)) - - if not graph.is_directed(): - - def _sort_source_target(edge): - source, target, edge_data = edge - if source > target: - temp = source - source = target - target = temp - return source, target, edge_data - - edges = [_sort_source_target(edge) for edge in edges] - - def _get_edge_key(source: Any, target: Any) -> str: - return f"{source} -> {target}" - - edges = sorted(edges, key=lambda x: _get_edge_key(x[0], x[1])) - - fixed_graph.add_edges_from(edges) - return fixed_graph - - def __post_init__(self): - self._graphml_xml_file = os.path.join( - self.global_config["working_dir"], f"graph_{self.namespace}.graphml" - ) - preloaded_graph = NetworkXStorage.load_nx_graph(self._graphml_xml_file) - if preloaded_graph is not None: - logger.info( - f"Loaded graph from {self._graphml_xml_file} with {preloaded_graph.number_of_nodes()} nodes, {preloaded_graph.number_of_edges()} edges" - ) - self._graph = preloaded_graph or nx.Graph() - self._node_embed_algorithms = { - "node2vec": self._node2vec_embed, - } - - async def index_done_callback(self): - NetworkXStorage.write_nx_graph(self._graph, self._graphml_xml_file) - - async def has_node(self, node_id: str) -> bool: - return self._graph.has_node(node_id) - - async def has_edge(self, source_node_id: str, target_node_id: str) -> bool: - return self._graph.has_edge(source_node_id, target_node_id) - - async def get_node(self, node_id: str) -> Union[dict, None]: - return self._graph.nodes.get(node_id) - - async def node_degree(self, node_id: str) -> int: - return self._graph.degree(node_id) - - async def edge_degree(self, src_id: str, tgt_id: str) -> int: - return self._graph.degree(src_id) + self._graph.degree(tgt_id) - - async def get_edge( - self, source_node_id: str, target_node_id: str - ) -> Union[dict, None]: - return self._graph.edges.get((source_node_id, target_node_id)) - - async def get_node_edges(self, source_node_id: str): - if self._graph.has_node(source_node_id): - return list(self._graph.edges(source_node_id)) - return None - - async def upsert_node(self, node_id: str, node_data: dict[str, str]): - self._graph.add_node(node_id, **node_data) - - async def upsert_edge( - self, source_node_id: str, target_node_id: str, edge_data: dict[str, str] - ): - self._graph.add_edge(source_node_id, target_node_id, **edge_data) - - async def embed_nodes(self, algorithm: str) -> tuple[np.ndarray, list[str]]: - if algorithm not in self._node_embed_algorithms: - raise ValueError(f"Node embedding algorithm {algorithm} not supported") - return await self._node_embed_algorithms[algorithm]() - - async def _node2vec_embed(self): - from graspologic import embed - - embeddings, nodes = embed.node2vec_embed( - self._graph, - **self.global_config["node2vec_params"], - ) - - nodes_ids = [self._graph.nodes[node_id]["id"] for node_id in nodes] - return embeddings, nodes_ids diff --git a/lightrag/utils.py b/lightrag/utils.py deleted file mode 100644 index c75b4270..00000000 --- a/lightrag/utils.py +++ /dev/null @@ -1,165 +0,0 @@ -import asyncio -import html -import json -import logging -import os -import re -from dataclasses import dataclass -from functools import wraps -from hashlib import md5 -from typing import Any, Union - -import numpy as np -import tiktoken - -ENCODER = None - -logger = logging.getLogger("lightrag") - -def set_logger(log_file: str): - logger.setLevel(logging.DEBUG) - - file_handler = logging.FileHandler(log_file) - file_handler.setLevel(logging.DEBUG) - - formatter = logging.Formatter('%(asctime)s - %(name)s - %(levelname)s - %(message)s') - file_handler.setFormatter(formatter) - - if not logger.handlers: - logger.addHandler(file_handler) - -@dataclass -class EmbeddingFunc: - embedding_dim: int - max_token_size: int - func: callable - - async def __call__(self, *args, **kwargs) -> np.ndarray: - return await self.func(*args, **kwargs) - -def locate_json_string_body_from_string(content: str) -> Union[str, None]: - """Locate the JSON string body from a string""" - maybe_json_str = re.search(r"{.*}", content, re.DOTALL) - if maybe_json_str is not None: - return maybe_json_str.group(0) - else: - return None - -def convert_response_to_json(response: str) -> dict: - json_str = locate_json_string_body_from_string(response) - assert json_str is not None, f"Unable to parse JSON from response: {response}" - try: - data = json.loads(json_str) - return data - except json.JSONDecodeError as e: - logger.error(f"Failed to parse JSON: {json_str}") - raise e from None - -def compute_args_hash(*args): - return md5(str(args).encode()).hexdigest() - -def compute_mdhash_id(content, prefix: str = ""): - return prefix + md5(content.encode()).hexdigest() - -def limit_async_func_call(max_size: int, waitting_time: float = 0.0001): - """Add restriction of maximum async calling times for a async func""" - - def final_decro(func): - """Not using async.Semaphore to aovid use nest-asyncio""" - __current_size = 0 - - @wraps(func) - async def wait_func(*args, **kwargs): - nonlocal __current_size - while __current_size >= max_size: - await asyncio.sleep(waitting_time) - __current_size += 1 - result = await func(*args, **kwargs) - __current_size -= 1 - return result - - return wait_func - - return final_decro - -def wrap_embedding_func_with_attrs(**kwargs): - """Wrap a function with attributes""" - - def final_decro(func) -> EmbeddingFunc: - new_func = EmbeddingFunc(**kwargs, func=func) - return new_func - - return final_decro - -def load_json(file_name): - if not os.path.exists(file_name): - return None - with open(file_name) as f: - return json.load(f) - -def write_json(json_obj, file_name): - with open(file_name, "w") as f: - json.dump(json_obj, f, indent=2, ensure_ascii=False) - -def encode_string_by_tiktoken(content: str, model_name: str = "gpt-4o"): - global ENCODER - if ENCODER is None: - ENCODER = tiktoken.encoding_for_model(model_name) - tokens = ENCODER.encode(content) - return tokens - - -def decode_tokens_by_tiktoken(tokens: list[int], model_name: str = "gpt-4o"): - global ENCODER - if ENCODER is None: - ENCODER = tiktoken.encoding_for_model(model_name) - content = ENCODER.decode(tokens) - return content - -def pack_user_ass_to_openai_messages(*args: str): - roles = ["user", "assistant"] - return [ - {"role": roles[i % 2], "content": content} for i, content in enumerate(args) - ] - -def split_string_by_multi_markers(content: str, markers: list[str]) -> list[str]: - """Split a string by multiple markers""" - if not markers: - return [content] - results = re.split("|".join(re.escape(marker) for marker in markers), content) - return [r.strip() for r in results if r.strip()] - -# Refer the utils functions of the official GraphRAG implementation: -# https://github.com/microsoft/graphrag -def clean_str(input: Any) -> str: - """Clean an input string by removing HTML escapes, control characters, and other unwanted characters.""" - # If we get non-string input, just give it back - if not isinstance(input, str): - return input - - result = html.unescape(input.strip()) - # https://stackoverflow.com/questions/4324790/removing-control-characters-from-a-string-in-python - return re.sub(r"[\x00-\x1f\x7f-\x9f]", "", result) - -def is_float_regex(value): - return bool(re.match(r"^[-+]?[0-9]*\.?[0-9]+$", value)) - -def truncate_list_by_token_size(list_data: list, key: callable, max_token_size: int): - """Truncate a list of data by token size""" - if max_token_size <= 0: - return [] - tokens = 0 - for i, data in enumerate(list_data): - tokens += len(encode_string_by_tiktoken(key(data))) - if tokens > max_token_size: - return list_data[:i] - return list_data - -def list_of_list_to_csv(data: list[list]): - return "\n".join( - [",\t".join([str(data_dd) for data_dd in data_d]) for data_d in data] - ) - -def save_data_to_file(data, file_name): - with open(file_name, 'w', encoding='utf-8') as f: - json.dump(data, f, ensure_ascii=False, indent=4) \ No newline at end of file From 53d45fa9b8da31da12b3aa57143e19106eebde0b Mon Sep 17 00:00:00 2001 From: LarFii <834462287@qq.com> Date: Thu, 10 Oct 2024 15:01:40 +0800 Subject: [PATCH 009/258] update --- README.md | 198 +++++++++ lightrag/__init__.py | 5 + lightrag/base.py | 116 ++++++ lightrag/lightrag.py | 300 ++++++++++++++ lightrag/llm.py | 88 ++++ lightrag/operate.py | 944 +++++++++++++++++++++++++++++++++++++++++++ lightrag/prompt.py | 256 ++++++++++++ lightrag/storage.py | 246 +++++++++++ lightrag/utils.py | 165 ++++++++ 9 files changed, 2318 insertions(+) create mode 100644 README.md create mode 100644 lightrag/__init__.py create mode 100644 lightrag/base.py create mode 100644 lightrag/lightrag.py create mode 100644 lightrag/llm.py create mode 100644 lightrag/operate.py create mode 100644 lightrag/prompt.py create mode 100644 lightrag/storage.py create mode 100644 lightrag/utils.py diff --git a/README.md b/README.md new file mode 100644 index 00000000..42de1c1c --- /dev/null +++ b/README.md @@ -0,0 +1,198 @@ +# LightRAG: Simple and Fast Retrieval-Augmented Generation +![请添加图片描述](https://i-blog.csdnimg.cn/direct/567139f1a36e4564abc63ce5c12b6271.jpeg) + + + + + + +This repository hosts the code of LightRAG. The structure of this code is based on [nano-graphrag](https://github.com/gusye1234/nano-graphrag). +![请添加图片描述](https://i-blog.csdnimg.cn/direct/b2aaf634151b4706892693ffb43d9093.png) +## Install + +* Install from source + +```bash +cd LightRAG +pip install -e . +``` +* Install from PyPI +```bash +pip install lightrag-hku +``` + +## Quick Start + +* Set OpenAI API key in environment: `export OPENAI_API_KEY="sk-...".` +* Download the demo text "A Christmas Carol by Charles Dickens" +```bash +curl https://raw.githubusercontent.com/gusye1234/nano-graphrag/main/tests/mock_data.txt > ./book.txt +``` +Use the below python snippet: + +```python +from lightrag import LightRAG, QueryParam + +rag = LightRAG(working_dir="./dickens") + +with open("./book.txt") as f: + rag.insert(f.read()) + +# Perform naive search +print(rag.query("What are the top themes in this story?", param=QueryParam(mode="naive"))) + +# Perform local search +print(rag.query("What are the top themes in this story?", param=QueryParam(mode="local"))) + +# Perform global search +print(rag.query("What are the top themes in this story?", param=QueryParam(mode="global"))) + +# Perform hybird search +print(rag.query("What are the top themes in this story?", param=QueryParam(mode="hybird"))) +``` +Batch Insert +```python +rag.insert(["TEXT1", "TEXT2",...]) +``` +Incremental Insert + +```python +rag = LightRAG(working_dir="./dickens") + +with open("./newText.txt") as f: + rag.insert(f.read()) +``` +## Evaluation +### Dataset +The dataset used in LightRAG can be download from [TommyChien/UltraDomain](https://huggingface.co/datasets/TommyChien/UltraDomain). + +### Generate Query +LightRAG uses the following prompt to generate high-level queries, with the corresponding code located in `example/generate_query.py`. +```python +Given the following description of a dataset: + +{description} + +Please identify 5 potential users who would engage with this dataset. For each user, list 5 tasks they would perform with this dataset. Then, for each (user, task) combination, generate 5 questions that require a high-level understanding of the entire dataset. + +Output the results in the following structure: +- User 1: [user description] + - Task 1: [task description] + - Question 1: + - Question 2: + - Question 3: + - Question 4: + - Question 5: + - Task 2: [task description] + ... + - Task 5: [task description] +- User 2: [user description] + ... +- User 5: [user description] + ... +``` + + ### Batch Eval +To evaluate the performance of two RAG systems on high-level queries, LightRAG uses the following prompt, with the specific code available in `example/batch_eval.py`. +```python +---Role--- +You are an expert tasked with evaluating two answers to the same question based on three criteria: **Comprehensiveness**, **Diversity**, and **Empowerment**. +---Goal--- +You will evaluate two answers to the same question based on three criteria: **Comprehensiveness**, **Diversity**, and **Empowerment**. + +- **Comprehensiveness**: How much detail does the answer provide to cover all aspects and details of the question? +- **Diversity**: How varied and rich is the answer in providing different perspectives and insights on the question? +- **Empowerment**: How well does the answer help the reader understand and make informed judgments about the topic? + +For each criterion, choose the better answer (either Answer 1 or Answer 2) and explain why. Then, select an overall winner based on these three categories. + +Here is the question: +{query} + +Here are the two answers: + +**Answer 1:** +{answer1} + +**Answer 2:** +{answer2} + +Evaluate both answers using the three criteria listed above and provide detailed explanations for each criterion. + +Output your evaluation in the following JSON format: + +{{ + "Comprehensiveness": {{ + "Winner": "[Answer 1 or Answer 2]", + "Explanation": "[Provide explanation here]" + }}, + "Empowerment": {{ + "Winner": "[Answer 1 or Answer 2]", + "Explanation": "[Provide explanation here]" + }}, + "Overall Winner": {{ + "Winner": "[Answer 1 or Answer 2]", + "Explanation": "[Summarize why this answer is the overall winner based on the three criteria]" + }} +}} +``` +### Overall Performance Table +### Overall Performance Table +| | **Agriculture** | | **CS** | | **Legal** | | **Mix** | | +|----------------------|-------------------------|-----------------------|-----------------------|-----------------------|-----------------------|-----------------------|-----------------------|-----------------------| +| | NaiveRAG | **LightRAG** | NaiveRAG | **LightRAG** | NaiveRAG | **LightRAG** | NaiveRAG | **LightRAG** | +| **Comprehensiveness** | 32.69% | **67.31%** | 35.44% | **64.56%** | 19.05% | **80.95%** | 36.36% | **63.64%** | +| **Diversity** | 24.09% | **75.91%** | 35.24% | **64.76%** | 10.98% | **89.02%** | 30.76% | **69.24%** | +| **Empowerment** | 31.35% | **68.65%** | 35.48% | **64.52%** | 17.59% | **82.41%** | 40.95% | **59.05%** | +| **Overall** | 33.30% | **66.70%** | 34.76% | **65.24%** | 17.46% | **82.54%** | 37.59% | **62.40%** | +| | RQ-RAG | **LightRAG** | RQ-RAG | **LightRAG** | RQ-RAG | **LightRAG** | RQ-RAG | **LightRAG** | +| **Comprehensiveness** | 32.05% | **67.95%** | 39.30% | **60.70%** | 18.57% | **81.43%** | 38.89% | **61.11%** | +| **Diversity** | 29.44% | **70.56%** | 38.71% | **61.29%** | 15.14% | **84.86%** | 28.50% | **71.50%** | +| **Empowerment** | 32.51% | **67.49%** | 37.52% | **62.48%** | 17.80% | **82.20%** | 43.96% | **56.04%** | +| **Overall** | 33.29% | **66.71%** | 39.03% | **60.97%** | 17.80% | **82.20%** | 39.61% | **60.39%** | +| | HyDE | **LightRAG** | HyDE | **LightRAG** | HyDE | **LightRAG** | HyDE | **LightRAG** | +| **Comprehensiveness** | 24.39% | **75.61%** | 36.49% | **63.51%** | 27.68% | **72.32%** | 42.17% | **57.83%** | +| **Diversity** | 24.96% | **75.34%** | 37.41% | **62.59%** | 18.79% | **81.21%** | 30.88% | **69.12%** | +| **Empowerment** | 24.89% | **75.11%** | 34.99% | **65.01%** | 26.99% | **73.01%** | **45.61%** | **54.39%** | +| **Overall** | 23.17% | **76.83%** | 35.67% | **64.33%** | 27.68% | **72.32%** | 42.72% | **57.28%** | +| | GraphRAG | **LightRAG** | GraphRAG | **LightRAG** | GraphRAG | **LightRAG** | GraphRAG | **LightRAG** | +| **Comprehensiveness** | 45.56% | **54.44%** | 45.98% | **54.02%** | 47.13% | **52.87%** | **51.86%** | 48.14% | +| **Diversity** | 19.65% | **80.35%** | 39.64% | **60.36%** | 25.55% | **74.45%** | 35.87% | **64.13%** | +| **Empowerment** | 36.69% | **63.31%** | 45.09% | **54.91%** | 42.81% | **57.19%** | **52.94%** | 47.06% | +| **Overall** | 43.62% | **56.38%** | 45.98% | **54.02%** | 45.70% | **54.30%** | **51.86%** | 48.14% | + +## Code Structure + +```python +. +├── examples +│ ├── batch_eval.py +│ ├── generate_query.py +│ ├── insert.py +│ └── query.py +├── lightrag +│ ├── __init__.py +│ ├── base.py +│ ├── lightrag.py +│ ├── llm.py +│ ├── operate.py +│ ├── prompt.py +│ ├── storage.py +│ └── utils.jpeg +├── LICENSE +├── README.md +├── requirements.txt +└── setup.py +``` +## Citation + +``` +@article{guo2024lightrag, +title={LightRAG: Simple and Fast Retrieval-Augmented Generation}, +author={Zirui Guo and Lianghao Xia and Yanhua Yu and Tu Ao and Chao Huang}, +year={2024}, +eprint={2410.05779}, +archivePrefix={arXiv}, +primaryClass={cs.IR} +} +``` diff --git a/lightrag/__init__.py b/lightrag/__init__.py new file mode 100644 index 00000000..dc497cd4 --- /dev/null +++ b/lightrag/__init__.py @@ -0,0 +1,5 @@ +from .lightrag import LightRAG, QueryParam + +__version__ = "0.0.2" +__author__ = "Zirui Guo" +__url__ = "https://github.com/HKUDS/GraphEdit" diff --git a/lightrag/base.py b/lightrag/base.py new file mode 100644 index 00000000..9c0422fe --- /dev/null +++ b/lightrag/base.py @@ -0,0 +1,116 @@ +from dataclasses import dataclass, field +from typing import TypedDict, Union, Literal, Generic, TypeVar + +import numpy as np + +from .utils import EmbeddingFunc + +TextChunkSchema = TypedDict( + "TextChunkSchema", + {"tokens": int, "content": str, "full_doc_id": str, "chunk_order_index": int}, +) + +T = TypeVar("T") + +@dataclass +class QueryParam: + mode: Literal["local", "global", "hybird", "naive"] = "global" + only_need_context: bool = False + response_type: str = "Multiple Paragraphs" + top_k: int = 60 + max_token_for_text_unit: int = 4000 + max_token_for_global_context: int = 4000 + max_token_for_local_context: int = 4000 + + +@dataclass +class StorageNameSpace: + namespace: str + global_config: dict + + async def index_done_callback(self): + """commit the storage operations after indexing""" + pass + + async def query_done_callback(self): + """commit the storage operations after querying""" + pass + +@dataclass +class BaseVectorStorage(StorageNameSpace): + embedding_func: EmbeddingFunc + meta_fields: set = field(default_factory=set) + + async def query(self, query: str, top_k: int) -> list[dict]: + raise NotImplementedError + + async def upsert(self, data: dict[str, dict]): + """Use 'content' field from value for embedding, use key as id. + If embedding_func is None, use 'embedding' field from value + """ + raise NotImplementedError + +@dataclass +class BaseKVStorage(Generic[T], StorageNameSpace): + async def all_keys(self) -> list[str]: + raise NotImplementedError + + async def get_by_id(self, id: str) -> Union[T, None]: + raise NotImplementedError + + async def get_by_ids( + self, ids: list[str], fields: Union[set[str], None] = None + ) -> list[Union[T, None]]: + raise NotImplementedError + + async def filter_keys(self, data: list[str]) -> set[str]: + """return un-exist keys""" + raise NotImplementedError + + async def upsert(self, data: dict[str, T]): + raise NotImplementedError + + async def drop(self): + raise NotImplementedError + + +@dataclass +class BaseGraphStorage(StorageNameSpace): + async def has_node(self, node_id: str) -> bool: + raise NotImplementedError + + async def has_edge(self, source_node_id: str, target_node_id: str) -> bool: + raise NotImplementedError + + async def node_degree(self, node_id: str) -> int: + raise NotImplementedError + + async def edge_degree(self, src_id: str, tgt_id: str) -> int: + raise NotImplementedError + + async def get_node(self, node_id: str) -> Union[dict, None]: + raise NotImplementedError + + async def get_edge( + self, source_node_id: str, target_node_id: str + ) -> Union[dict, None]: + raise NotImplementedError + + async def get_node_edges( + self, source_node_id: str + ) -> Union[list[tuple[str, str]], None]: + raise NotImplementedError + + async def upsert_node(self, node_id: str, node_data: dict[str, str]): + raise NotImplementedError + + async def upsert_edge( + self, source_node_id: str, target_node_id: str, edge_data: dict[str, str] + ): + raise NotImplementedError + + async def clustering(self, algorithm: str): + raise NotImplementedError + + async def embed_nodes(self, algorithm: str) -> tuple[np.ndarray, list[str]]: + raise NotImplementedError("Node embedding is not used in lightrag.") \ No newline at end of file diff --git a/lightrag/lightrag.py b/lightrag/lightrag.py new file mode 100644 index 00000000..836fda9e --- /dev/null +++ b/lightrag/lightrag.py @@ -0,0 +1,300 @@ +import asyncio +import os +from dataclasses import asdict, dataclass, field +from datetime import datetime +from functools import partial +from typing import Type, cast + +from .llm import gpt_4o_complete, gpt_4o_mini_complete, openai_embedding +from .operate import ( + chunking_by_token_size, + extract_entities, + local_query, + global_query, + hybird_query, + naive_query, +) + +from .storage import ( + JsonKVStorage, + NanoVectorDBStorage, + NetworkXStorage, +) +from .utils import ( + EmbeddingFunc, + compute_mdhash_id, + limit_async_func_call, + convert_response_to_json, + logger, + set_logger, +) +from .base import ( + BaseGraphStorage, + BaseKVStorage, + BaseVectorStorage, + StorageNameSpace, + QueryParam, +) + +def always_get_an_event_loop() -> asyncio.AbstractEventLoop: + try: + # If there is already an event loop, use it. + loop = asyncio.get_event_loop() + except RuntimeError: + # If in a sub-thread, create a new event loop. + logger.info("Creating a new event loop in a sub-thread.") + loop = asyncio.new_event_loop() + asyncio.set_event_loop(loop) + return loop + +@dataclass +class LightRAG: + working_dir: str = field( + default_factory=lambda: f"./lightrag_cache_{datetime.now().strftime('%Y-%m-%d-%H:%M:%S')}" + ) + + # text chunking + chunk_token_size: int = 1200 + chunk_overlap_token_size: int = 100 + tiktoken_model_name: str = "gpt-4o-mini" + + # entity extraction + entity_extract_max_gleaning: int = 1 + entity_summary_to_max_tokens: int = 500 + + # node embedding + node_embedding_algorithm: str = "node2vec" + node2vec_params: dict = field( + default_factory=lambda: { + "dimensions": 1536, + "num_walks": 10, + "walk_length": 40, + "num_walks": 10, + "window_size": 2, + "iterations": 3, + "random_seed": 3, + } + ) + + # text embedding + embedding_func: EmbeddingFunc = field(default_factory=lambda: openai_embedding) + embedding_batch_num: int = 32 + embedding_func_max_async: int = 16 + + # LLM + llm_model_func: callable = gpt_4o_mini_complete + llm_model_max_token_size: int = 32768 + llm_model_max_async: int = 16 + + # storage + key_string_value_json_storage_cls: Type[BaseKVStorage] = JsonKVStorage + vector_db_storage_cls: Type[BaseVectorStorage] = NanoVectorDBStorage + vector_db_storage_cls_kwargs: dict = field(default_factory=dict) + graph_storage_cls: Type[BaseGraphStorage] = NetworkXStorage + enable_llm_cache: bool = True + + # extension + addon_params: dict = field(default_factory=dict) + convert_response_to_json_func: callable = convert_response_to_json + + def __post_init__(self): + log_file = os.path.join(self.working_dir, "lightrag.log") + set_logger(log_file) + logger.info(f"Logger initialized for working directory: {self.working_dir}") + + _print_config = ",\n ".join([f"{k} = {v}" for k, v in asdict(self).items()]) + logger.debug(f"LightRAG init with param:\n {_print_config}\n") + + if not os.path.exists(self.working_dir): + logger.info(f"Creating working directory {self.working_dir}") + os.makedirs(self.working_dir) + + self.full_docs = self.key_string_value_json_storage_cls( + namespace="full_docs", global_config=asdict(self) + ) + + self.text_chunks = self.key_string_value_json_storage_cls( + namespace="text_chunks", global_config=asdict(self) + ) + + self.llm_response_cache = ( + self.key_string_value_json_storage_cls( + namespace="llm_response_cache", global_config=asdict(self) + ) + if self.enable_llm_cache + else None + ) + self.chunk_entity_relation_graph = self.graph_storage_cls( + namespace="chunk_entity_relation", global_config=asdict(self) + ) + self.embedding_func = limit_async_func_call(self.embedding_func_max_async)( + self.embedding_func + ) + self.entities_vdb = ( + self.vector_db_storage_cls( + namespace="entities", + global_config=asdict(self), + embedding_func=self.embedding_func, + meta_fields={"entity_name"} + ) + ) + self.relationships_vdb = ( + self.vector_db_storage_cls( + namespace="relationships", + global_config=asdict(self), + embedding_func=self.embedding_func, + meta_fields={"src_id", "tgt_id"} + ) + ) + self.chunks_vdb = ( + self.vector_db_storage_cls( + namespace="chunks", + global_config=asdict(self), + embedding_func=self.embedding_func, + ) + ) + + self.llm_model_func = limit_async_func_call(self.llm_model_max_async)( + partial(self.llm_model_func, hashing_kv=self.llm_response_cache) + ) + + def insert(self, string_or_strings): + loop = always_get_an_event_loop() + return loop.run_until_complete(self.ainsert(string_or_strings)) + + async def ainsert(self, string_or_strings): + try: + if isinstance(string_or_strings, str): + string_or_strings = [string_or_strings] + + new_docs = { + compute_mdhash_id(c.strip(), prefix="doc-"): {"content": c.strip()} + for c in string_or_strings + } + _add_doc_keys = await self.full_docs.filter_keys(list(new_docs.keys())) + new_docs = {k: v for k, v in new_docs.items() if k in _add_doc_keys} + if not len(new_docs): + logger.warning(f"All docs are already in the storage") + return + logger.info(f"[New Docs] inserting {len(new_docs)} docs") + + inserting_chunks = {} + for doc_key, doc in new_docs.items(): + chunks = { + compute_mdhash_id(dp["content"], prefix="chunk-"): { + **dp, + "full_doc_id": doc_key, + } + for dp in chunking_by_token_size( + doc["content"], + overlap_token_size=self.chunk_overlap_token_size, + max_token_size=self.chunk_token_size, + tiktoken_model=self.tiktoken_model_name, + ) + } + inserting_chunks.update(chunks) + _add_chunk_keys = await self.text_chunks.filter_keys( + list(inserting_chunks.keys()) + ) + inserting_chunks = { + k: v for k, v in inserting_chunks.items() if k in _add_chunk_keys + } + if not len(inserting_chunks): + logger.warning(f"All chunks are already in the storage") + return + logger.info(f"[New Chunks] inserting {len(inserting_chunks)} chunks") + + await self.chunks_vdb.upsert(inserting_chunks) + + logger.info("[Entity Extraction]...") + maybe_new_kg = await extract_entities( + inserting_chunks, + knwoledge_graph_inst=self.chunk_entity_relation_graph, + entity_vdb=self.entities_vdb, + relationships_vdb=self.relationships_vdb, + global_config=asdict(self), + ) + if maybe_new_kg is None: + logger.warning("No new entities and relationships found") + return + self.chunk_entity_relation_graph = maybe_new_kg + + await self.full_docs.upsert(new_docs) + await self.text_chunks.upsert(inserting_chunks) + finally: + await self._insert_done() + + async def _insert_done(self): + tasks = [] + for storage_inst in [ + self.full_docs, + self.text_chunks, + self.llm_response_cache, + self.entities_vdb, + self.relationships_vdb, + self.chunks_vdb, + self.chunk_entity_relation_graph, + ]: + if storage_inst is None: + continue + tasks.append(cast(StorageNameSpace, storage_inst).index_done_callback()) + await asyncio.gather(*tasks) + + def query(self, query: str, param: QueryParam = QueryParam()): + loop = always_get_an_event_loop() + return loop.run_until_complete(self.aquery(query, param)) + + async def aquery(self, query: str, param: QueryParam = QueryParam()): + if param.mode == "local": + response = await local_query( + query, + self.chunk_entity_relation_graph, + self.entities_vdb, + self.relationships_vdb, + self.text_chunks, + param, + asdict(self), + ) + elif param.mode == "global": + response = await global_query( + query, + self.chunk_entity_relation_graph, + self.entities_vdb, + self.relationships_vdb, + self.text_chunks, + param, + asdict(self), + ) + elif param.mode == "hybird": + response = await hybird_query( + query, + self.chunk_entity_relation_graph, + self.entities_vdb, + self.relationships_vdb, + self.text_chunks, + param, + asdict(self), + ) + elif param.mode == "naive": + response = await naive_query( + query, + self.chunks_vdb, + self.text_chunks, + param, + asdict(self), + ) + else: + raise ValueError(f"Unknown mode {param.mode}") + await self._query_done() + return response + + + async def _query_done(self): + tasks = [] + for storage_inst in [self.llm_response_cache]: + if storage_inst is None: + continue + tasks.append(cast(StorageNameSpace, storage_inst).index_done_callback()) + await asyncio.gather(*tasks) + + diff --git a/lightrag/llm.py b/lightrag/llm.py new file mode 100644 index 00000000..ee700a10 --- /dev/null +++ b/lightrag/llm.py @@ -0,0 +1,88 @@ +import os +import numpy as np +from openai import AsyncOpenAI, APIConnectionError, RateLimitError, Timeout +from tenacity import ( + retry, + stop_after_attempt, + wait_exponential, + retry_if_exception_type, +) + +from .base import BaseKVStorage +from .utils import compute_args_hash, wrap_embedding_func_with_attrs + +@retry( + stop=stop_after_attempt(3), + wait=wait_exponential(multiplier=1, min=4, max=10), + retry=retry_if_exception_type((RateLimitError, APIConnectionError, Timeout)), +) +async def openai_complete_if_cache( + model, prompt, system_prompt=None, history_messages=[], **kwargs +) -> str: + openai_async_client = AsyncOpenAI() + hashing_kv: BaseKVStorage = kwargs.pop("hashing_kv", None) + messages = [] + if system_prompt: + messages.append({"role": "system", "content": system_prompt}) + messages.extend(history_messages) + messages.append({"role": "user", "content": prompt}) + if hashing_kv is not None: + args_hash = compute_args_hash(model, messages) + if_cache_return = await hashing_kv.get_by_id(args_hash) + if if_cache_return is not None: + return if_cache_return["return"] + + response = await openai_async_client.chat.completions.create( + model=model, messages=messages, **kwargs + ) + + if hashing_kv is not None: + await hashing_kv.upsert( + {args_hash: {"return": response.choices[0].message.content, "model": model}} + ) + return response.choices[0].message.content + +async def gpt_4o_complete( + prompt, system_prompt=None, history_messages=[], **kwargs +) -> str: + return await openai_complete_if_cache( + "gpt-4o", + prompt, + system_prompt=system_prompt, + history_messages=history_messages, + **kwargs, + ) + + +async def gpt_4o_mini_complete( + prompt, system_prompt=None, history_messages=[], **kwargs +) -> str: + return await openai_complete_if_cache( + "gpt-4o-mini", + prompt, + system_prompt=system_prompt, + history_messages=history_messages, + **kwargs, + ) + +@wrap_embedding_func_with_attrs(embedding_dim=1536, max_token_size=8192) +@retry( + stop=stop_after_attempt(3), + wait=wait_exponential(multiplier=1, min=4, max=10), + retry=retry_if_exception_type((RateLimitError, APIConnectionError, Timeout)), +) +async def openai_embedding(texts: list[str]) -> np.ndarray: + openai_async_client = AsyncOpenAI() + response = await openai_async_client.embeddings.create( + model="text-embedding-3-small", input=texts, encoding_format="float" + ) + return np.array([dp.embedding for dp in response.data]) + +if __name__ == "__main__": + import asyncio + + async def main(): + result = await gpt_4o_mini_complete('How are you?') + print(result) + + asyncio.run(main()) diff --git a/lightrag/operate.py b/lightrag/operate.py new file mode 100644 index 00000000..2d3271da --- /dev/null +++ b/lightrag/operate.py @@ -0,0 +1,944 @@ +import asyncio +import json +import re +from typing import Union +from collections import Counter, defaultdict + +from .utils import ( + logger, + clean_str, + compute_mdhash_id, + decode_tokens_by_tiktoken, + encode_string_by_tiktoken, + is_float_regex, + list_of_list_to_csv, + pack_user_ass_to_openai_messages, + split_string_by_multi_markers, + truncate_list_by_token_size, +) +from .base import ( + BaseGraphStorage, + BaseKVStorage, + BaseVectorStorage, + TextChunkSchema, + QueryParam, +) +from .prompt import GRAPH_FIELD_SEP, PROMPTS + +def chunking_by_token_size( + content: str, overlap_token_size=128, max_token_size=1024, tiktoken_model="gpt-4o" +): + tokens = encode_string_by_tiktoken(content, model_name=tiktoken_model) + results = [] + for index, start in enumerate( + range(0, len(tokens), max_token_size - overlap_token_size) + ): + chunk_content = decode_tokens_by_tiktoken( + tokens[start : start + max_token_size], model_name=tiktoken_model + ) + results.append( + { + "tokens": min(max_token_size, len(tokens) - start), + "content": chunk_content.strip(), + "chunk_order_index": index, + } + ) + return results + +async def _handle_entity_relation_summary( + entity_or_relation_name: str, + description: str, + global_config: dict, +) -> str: + use_llm_func: callable = global_config["llm_model_func"] + llm_max_tokens = global_config["llm_model_max_token_size"] + tiktoken_model_name = global_config["tiktoken_model_name"] + summary_max_tokens = global_config["entity_summary_to_max_tokens"] + + tokens = encode_string_by_tiktoken(description, model_name=tiktoken_model_name) + if len(tokens) < summary_max_tokens: # No need for summary + return description + prompt_template = PROMPTS["summarize_entity_descriptions"] + use_description = decode_tokens_by_tiktoken( + tokens[:llm_max_tokens], model_name=tiktoken_model_name + ) + context_base = dict( + entity_name=entity_or_relation_name, + description_list=use_description.split(GRAPH_FIELD_SEP), + ) + use_prompt = prompt_template.format(**context_base) + logger.debug(f"Trigger summary: {entity_or_relation_name}") + summary = await use_llm_func(use_prompt, max_tokens=summary_max_tokens) + return summary + + +async def _handle_single_entity_extraction( + record_attributes: list[str], + chunk_key: str, +): + if record_attributes[0] != '"entity"' or len(record_attributes) < 4: + return None + # add this record as a node in the G + entity_name = clean_str(record_attributes[1].upper()) + if not entity_name.strip(): + return None + entity_type = clean_str(record_attributes[2].upper()) + entity_description = clean_str(record_attributes[3]) + entity_source_id = chunk_key + return dict( + entity_name=entity_name, + entity_type=entity_type, + description=entity_description, + source_id=entity_source_id, + ) + + +async def _handle_single_relationship_extraction( + record_attributes: list[str], + chunk_key: str, +): + if record_attributes[0] != '"relationship"' or len(record_attributes) < 5: + return None + # add this record as edge + source = clean_str(record_attributes[1].upper()) + target = clean_str(record_attributes[2].upper()) + edge_description = clean_str(record_attributes[3]) + + edge_keywords = clean_str(record_attributes[4]) + edge_source_id = chunk_key + weight = ( + float(record_attributes[-1]) if is_float_regex(record_attributes[-1]) else 1.0 + ) + return dict( + src_id=source, + tgt_id=target, + weight=weight, + description=edge_description, + keywords=edge_keywords, + source_id=edge_source_id, + ) + + +async def _merge_nodes_then_upsert( + entity_name: str, + nodes_data: list[dict], + knwoledge_graph_inst: BaseGraphStorage, + global_config: dict, +): + already_entitiy_types = [] + already_source_ids = [] + already_description = [] + + already_node = await knwoledge_graph_inst.get_node(entity_name) + if already_node is not None: + already_entitiy_types.append(already_node["entity_type"]) + already_source_ids.extend( + split_string_by_multi_markers(already_node["source_id"], [GRAPH_FIELD_SEP]) + ) + already_description.append(already_node["description"]) + + entity_type = sorted( + Counter( + [dp["entity_type"] for dp in nodes_data] + already_entitiy_types + ).items(), + key=lambda x: x[1], + reverse=True, + )[0][0] + description = GRAPH_FIELD_SEP.join( + sorted(set([dp["description"] for dp in nodes_data] + already_description)) + ) + source_id = GRAPH_FIELD_SEP.join( + set([dp["source_id"] for dp in nodes_data] + already_source_ids) + ) + description = await _handle_entity_relation_summary( + entity_name, description, global_config + ) + node_data = dict( + entity_type=entity_type, + description=description, + source_id=source_id, + ) + await knwoledge_graph_inst.upsert_node( + entity_name, + node_data=node_data, + ) + node_data["entity_name"] = entity_name + return node_data + + +async def _merge_edges_then_upsert( + src_id: str, + tgt_id: str, + edges_data: list[dict], + knwoledge_graph_inst: BaseGraphStorage, + global_config: dict, +): + already_weights = [] + already_source_ids = [] + already_description = [] + already_keywords = [] + + if await knwoledge_graph_inst.has_edge(src_id, tgt_id): + already_edge = await knwoledge_graph_inst.get_edge(src_id, tgt_id) + already_weights.append(already_edge["weight"]) + already_source_ids.extend( + split_string_by_multi_markers(already_edge["source_id"], [GRAPH_FIELD_SEP]) + ) + already_description.append(already_edge["description"]) + already_keywords.extend( + split_string_by_multi_markers(already_edge["keywords"], [GRAPH_FIELD_SEP]) + ) + + weight = sum([dp["weight"] for dp in edges_data] + already_weights) + description = GRAPH_FIELD_SEP.join( + sorted(set([dp["description"] for dp in edges_data] + already_description)) + ) + keywords = GRAPH_FIELD_SEP.join( + sorted(set([dp["keywords"] for dp in edges_data] + already_keywords)) + ) + source_id = GRAPH_FIELD_SEP.join( + set([dp["source_id"] for dp in edges_data] + already_source_ids) + ) + for need_insert_id in [src_id, tgt_id]: + if not (await knwoledge_graph_inst.has_node(need_insert_id)): + await knwoledge_graph_inst.upsert_node( + need_insert_id, + node_data={ + "source_id": source_id, + "description": description, + "entity_type": '"UNKNOWN"', + }, + ) + description = await _handle_entity_relation_summary( + (src_id, tgt_id), description, global_config + ) + await knwoledge_graph_inst.upsert_edge( + src_id, + tgt_id, + edge_data=dict( + weight=weight, + description=description, + keywords=keywords, + source_id=source_id, + ), + ) + + edge_data = dict( + src_id=src_id, + tgt_id=tgt_id, + description=description, + keywords=keywords, + ) + + return edge_data + +async def extract_entities( + chunks: dict[str, TextChunkSchema], + knwoledge_graph_inst: BaseGraphStorage, + entity_vdb: BaseVectorStorage, + relationships_vdb: BaseVectorStorage, + global_config: dict, +) -> Union[BaseGraphStorage, None]: + use_llm_func: callable = global_config["llm_model_func"] + entity_extract_max_gleaning = global_config["entity_extract_max_gleaning"] + + ordered_chunks = list(chunks.items()) + + entity_extract_prompt = PROMPTS["entity_extraction"] + context_base = dict( + tuple_delimiter=PROMPTS["DEFAULT_TUPLE_DELIMITER"], + record_delimiter=PROMPTS["DEFAULT_RECORD_DELIMITER"], + completion_delimiter=PROMPTS["DEFAULT_COMPLETION_DELIMITER"], + entity_types=",".join(PROMPTS["DEFAULT_ENTITY_TYPES"]), + ) + continue_prompt = PROMPTS["entiti_continue_extraction"] + if_loop_prompt = PROMPTS["entiti_if_loop_extraction"] + + already_processed = 0 + already_entities = 0 + already_relations = 0 + + async def _process_single_content(chunk_key_dp: tuple[str, TextChunkSchema]): + nonlocal already_processed, already_entities, already_relations + chunk_key = chunk_key_dp[0] + chunk_dp = chunk_key_dp[1] + content = chunk_dp["content"] + hint_prompt = entity_extract_prompt.format(**context_base, input_text=content) + final_result = await use_llm_func(hint_prompt) + + history = pack_user_ass_to_openai_messages(hint_prompt, final_result) + for now_glean_index in range(entity_extract_max_gleaning): + glean_result = await use_llm_func(continue_prompt, history_messages=history) + + history += pack_user_ass_to_openai_messages(continue_prompt, glean_result) + final_result += glean_result + if now_glean_index == entity_extract_max_gleaning - 1: + break + + if_loop_result: str = await use_llm_func( + if_loop_prompt, history_messages=history + ) + if_loop_result = if_loop_result.strip().strip('"').strip("'").lower() + if if_loop_result != "yes": + break + + records = split_string_by_multi_markers( + final_result, + [context_base["record_delimiter"], context_base["completion_delimiter"]], + ) + + maybe_nodes = defaultdict(list) + maybe_edges = defaultdict(list) + for record in records: + record = re.search(r"\((.*)\)", record) + if record is None: + continue + record = record.group(1) + record_attributes = split_string_by_multi_markers( + record, [context_base["tuple_delimiter"]] + ) + if_entities = await _handle_single_entity_extraction( + record_attributes, chunk_key + ) + if if_entities is not None: + maybe_nodes[if_entities["entity_name"]].append(if_entities) + continue + + if_relation = await _handle_single_relationship_extraction( + record_attributes, chunk_key + ) + if if_relation is not None: + maybe_edges[(if_relation["src_id"], if_relation["tgt_id"])].append( + if_relation + ) + already_processed += 1 + already_entities += len(maybe_nodes) + already_relations += len(maybe_edges) + now_ticks = PROMPTS["process_tickers"][ + already_processed % len(PROMPTS["process_tickers"]) + ] + print( + f"{now_ticks} Processed {already_processed} chunks, {already_entities} entities(duplicated), {already_relations} relations(duplicated)\r", + end="", + flush=True, + ) + return dict(maybe_nodes), dict(maybe_edges) + + # use_llm_func is wrapped in ascynio.Semaphore, limiting max_async callings + results = await asyncio.gather( + *[_process_single_content(c) for c in ordered_chunks] + ) + print() # clear the progress bar + maybe_nodes = defaultdict(list) + maybe_edges = defaultdict(list) + for m_nodes, m_edges in results: + for k, v in m_nodes.items(): + maybe_nodes[k].extend(v) + for k, v in m_edges.items(): + maybe_edges[tuple(sorted(k))].extend(v) + all_entities_data = await asyncio.gather( + *[ + _merge_nodes_then_upsert(k, v, knwoledge_graph_inst, global_config) + for k, v in maybe_nodes.items() + ] + ) + all_relationships_data = await asyncio.gather( + *[ + _merge_edges_then_upsert(k[0], k[1], v, knwoledge_graph_inst, global_config) + for k, v in maybe_edges.items() + ] + ) + if not len(all_entities_data): + logger.warning("Didn't extract any entities, maybe your LLM is not working") + return None + if not len(all_relationships_data): + logger.warning("Didn't extract any relationships, maybe your LLM is not working") + return None + + if entity_vdb is not None: + data_for_vdb = { + compute_mdhash_id(dp["entity_name"], prefix="ent-"): { + "content": dp["entity_name"] + dp["description"], + "entity_name": dp["entity_name"], + } + for dp in all_entities_data + } + await entity_vdb.upsert(data_for_vdb) + + if relationships_vdb is not None: + data_for_vdb = { + compute_mdhash_id(dp["src_id"] + dp["tgt_id"], prefix="rel-"): { + "src_id": dp["src_id"], + "tgt_id": dp["tgt_id"], + "content": dp["keywords"] + dp["src_id"] + dp["tgt_id"] + dp["description"], + } + for dp in all_relationships_data + } + await relationships_vdb.upsert(data_for_vdb) + + return knwoledge_graph_inst + +async def local_query( + query, + knowledge_graph_inst: BaseGraphStorage, + entities_vdb: BaseVectorStorage, + relationships_vdb: BaseVectorStorage, + text_chunks_db: BaseKVStorage[TextChunkSchema], + query_param: QueryParam, + global_config: dict, +) -> str: + use_model_func = global_config["llm_model_func"] + + kw_prompt_temp = PROMPTS["keywords_extraction"] + kw_prompt = kw_prompt_temp.format(query=query) + result = await use_model_func(kw_prompt) + + try: + keywords_data = json.loads(result) + keywords = keywords_data.get("low_level_keywords", []) + keywords = ', '.join(keywords) + except json.JSONDecodeError as e: + # Handle parsing error + print(f"JSON parsing error: {e}") + return PROMPTS["fail_response"] + + context = await _build_local_query_context( + keywords, + knowledge_graph_inst, + entities_vdb, + text_chunks_db, + query_param, + ) + if query_param.only_need_context: + return context + if context is None: + return PROMPTS["fail_response"] + sys_prompt_temp = PROMPTS["rag_response"] + sys_prompt = sys_prompt_temp.format( + context_data=context, response_type=query_param.response_type + ) + response = await use_model_func( + query, + system_prompt=sys_prompt, + ) + return response + +async def _build_local_query_context( + query, + knowledge_graph_inst: BaseGraphStorage, + entities_vdb: BaseVectorStorage, + text_chunks_db: BaseKVStorage[TextChunkSchema], + query_param: QueryParam, +): + results = await entities_vdb.query(query, top_k=query_param.top_k) + if not len(results): + return None + node_datas = await asyncio.gather( + *[knowledge_graph_inst.get_node(r["entity_name"]) for r in results] + ) + if not all([n is not None for n in node_datas]): + logger.warning("Some nodes are missing, maybe the storage is damaged") + node_degrees = await asyncio.gather( + *[knowledge_graph_inst.node_degree(r["entity_name"]) for r in results] + ) + node_datas = [ + {**n, "entity_name": k["entity_name"], "rank": d} + for k, n, d in zip(results, node_datas, node_degrees) + if n is not None + ] + use_text_units = await _find_most_related_text_unit_from_entities( + node_datas, query_param, text_chunks_db, knowledge_graph_inst + ) + use_relations = await _find_most_related_edges_from_entities( + node_datas, query_param, knowledge_graph_inst + ) + logger.info( + f"Local query uses {len(node_datas)} entites, {len(use_relations)} relations, {len(use_text_units)} text units" + ) + entites_section_list = [["id", "entity", "type", "description", "rank"]] + for i, n in enumerate(node_datas): + entites_section_list.append( + [ + i, + n["entity_name"], + n.get("entity_type", "UNKNOWN"), + n.get("description", "UNKNOWN"), + n["rank"], + ] + ) + entities_context = list_of_list_to_csv(entites_section_list) + + relations_section_list = [ + ["id", "source", "target", "description", "keywords", "weight", "rank"] + ] + for i, e in enumerate(use_relations): + relations_section_list.append( + [ + i, + e["src_tgt"][0], + e["src_tgt"][1], + e["description"], + e["keywords"], + e["weight"], + e["rank"], + ] + ) + relations_context = list_of_list_to_csv(relations_section_list) + + text_units_section_list = [["id", "content"]] + for i, t in enumerate(use_text_units): + text_units_section_list.append([i, t["content"]]) + text_units_context = list_of_list_to_csv(text_units_section_list) + return f""" +-----Entities----- +```csv +{entities_context} +``` +-----Relationships----- +```csv +{relations_context} +``` +-----Sources----- +```csv +{text_units_context} +``` +""" + +async def _find_most_related_text_unit_from_entities( + node_datas: list[dict], + query_param: QueryParam, + text_chunks_db: BaseKVStorage[TextChunkSchema], + knowledge_graph_inst: BaseGraphStorage, +): + text_units = [ + split_string_by_multi_markers(dp["source_id"], [GRAPH_FIELD_SEP]) + for dp in node_datas + ] + edges = await asyncio.gather( + *[knowledge_graph_inst.get_node_edges(dp["entity_name"]) for dp in node_datas] + ) + all_one_hop_nodes = set() + for this_edges in edges: + if not this_edges: + continue + all_one_hop_nodes.update([e[1] for e in this_edges]) + all_one_hop_nodes = list(all_one_hop_nodes) + all_one_hop_nodes_data = await asyncio.gather( + *[knowledge_graph_inst.get_node(e) for e in all_one_hop_nodes] + ) + all_one_hop_text_units_lookup = { + k: set(split_string_by_multi_markers(v["source_id"], [GRAPH_FIELD_SEP])) + for k, v in zip(all_one_hop_nodes, all_one_hop_nodes_data) + if v is not None + } + all_text_units_lookup = {} + for index, (this_text_units, this_edges) in enumerate(zip(text_units, edges)): + for c_id in this_text_units: + if c_id in all_text_units_lookup: + continue + relation_counts = 0 + for e in this_edges: + if ( + e[1] in all_one_hop_text_units_lookup + and c_id in all_one_hop_text_units_lookup[e[1]] + ): + relation_counts += 1 + all_text_units_lookup[c_id] = { + "data": await text_chunks_db.get_by_id(c_id), + "order": index, + "relation_counts": relation_counts, + } + if any([v is None for v in all_text_units_lookup.values()]): + logger.warning("Text chunks are missing, maybe the storage is damaged") + all_text_units = [ + {"id": k, **v} for k, v in all_text_units_lookup.items() if v is not None + ] + all_text_units = sorted( + all_text_units, key=lambda x: (x["order"], -x["relation_counts"]) + ) + all_text_units = truncate_list_by_token_size( + all_text_units, + key=lambda x: x["data"]["content"], + max_token_size=query_param.max_token_for_text_unit, + ) + all_text_units: list[TextChunkSchema] = [t["data"] for t in all_text_units] + return all_text_units + +async def _find_most_related_edges_from_entities( + node_datas: list[dict], + query_param: QueryParam, + knowledge_graph_inst: BaseGraphStorage, +): + all_related_edges = await asyncio.gather( + *[knowledge_graph_inst.get_node_edges(dp["entity_name"]) for dp in node_datas] + ) + all_edges = set() + for this_edges in all_related_edges: + all_edges.update([tuple(sorted(e)) for e in this_edges]) + all_edges = list(all_edges) + all_edges_pack = await asyncio.gather( + *[knowledge_graph_inst.get_edge(e[0], e[1]) for e in all_edges] + ) + all_edges_degree = await asyncio.gather( + *[knowledge_graph_inst.edge_degree(e[0], e[1]) for e in all_edges] + ) + all_edges_data = [ + {"src_tgt": k, "rank": d, **v} + for k, v, d in zip(all_edges, all_edges_pack, all_edges_degree) + if v is not None + ] + all_edges_data = sorted( + all_edges_data, key=lambda x: (x["rank"], x["weight"]), reverse=True + ) + all_edges_data = truncate_list_by_token_size( + all_edges_data, + key=lambda x: x["description"], + max_token_size=query_param.max_token_for_global_context, + ) + return all_edges_data + +async def global_query( + query, + knowledge_graph_inst: BaseGraphStorage, + entities_vdb: BaseVectorStorage, + relationships_vdb: BaseVectorStorage, + text_chunks_db: BaseKVStorage[TextChunkSchema], + query_param: QueryParam, + global_config: dict, +) -> str: + use_model_func = global_config["llm_model_func"] + + kw_prompt_temp = PROMPTS["keywords_extraction"] + kw_prompt = kw_prompt_temp.format(query=query) + result = await use_model_func(kw_prompt) + + try: + keywords_data = json.loads(result) + keywords = keywords_data.get("high_level_keywords", []) + keywords = ', '.join(keywords) + except json.JSONDecodeError as e: + # Handle parsing error + print(f"JSON parsing error: {e}") + return PROMPTS["fail_response"] + + context = await _build_global_query_context( + keywords, + knowledge_graph_inst, + entities_vdb, + relationships_vdb, + text_chunks_db, + query_param, + ) + + if query_param.only_need_context: + return context + if context is None: + return PROMPTS["fail_response"] + + sys_prompt_temp = PROMPTS["rag_response"] + sys_prompt = sys_prompt_temp.format( + context_data=context, response_type=query_param.response_type + ) + response = await use_model_func( + query, + system_prompt=sys_prompt, + ) + return response + +async def _build_global_query_context( + keywords, + knowledge_graph_inst: BaseGraphStorage, + entities_vdb: BaseVectorStorage, + relationships_vdb: BaseVectorStorage, + text_chunks_db: BaseKVStorage[TextChunkSchema], + query_param: QueryParam, +): + results = await relationships_vdb.query(keywords, top_k=query_param.top_k) + + if not len(results): + return None + + edge_datas = await asyncio.gather( + *[knowledge_graph_inst.get_edge(r["src_id"], r["tgt_id"]) for r in results] + ) + + if not all([n is not None for n in edge_datas]): + logger.warning("Some edges are missing, maybe the storage is damaged") + edge_degree = await asyncio.gather( + *[knowledge_graph_inst.edge_degree(r["src_id"], r["tgt_id"]) for r in results] + ) + edge_datas = [ + {"src_id": k["src_id"], "tgt_id": k["tgt_id"], "rank": d, **v} + for k, v, d in zip(results, edge_datas, edge_degree) + if v is not None + ] + edge_datas = sorted( + edge_datas, key=lambda x: (x["rank"], x["weight"]), reverse=True + ) + edge_datas = truncate_list_by_token_size( + edge_datas, + key=lambda x: x["description"], + max_token_size=query_param.max_token_for_global_context, + ) + + use_entities = await _find_most_related_entities_from_relationships( + edge_datas, query_param, knowledge_graph_inst + ) + use_text_units = await _find_related_text_unit_from_relationships( + edge_datas, query_param, text_chunks_db, knowledge_graph_inst + ) + logger.info( + f"Global query uses {len(use_entities)} entites, {len(edge_datas)} relations, {len(use_text_units)} text units" + ) + relations_section_list = [ + ["id", "source", "target", "description", "keywords", "weight", "rank"] + ] + for i, e in enumerate(edge_datas): + relations_section_list.append( + [ + i, + e["src_id"], + e["tgt_id"], + e["description"], + e["keywords"], + e["weight"], + e["rank"], + ] + ) + relations_context = list_of_list_to_csv(relations_section_list) + + entites_section_list = [["id", "entity", "type", "description", "rank"]] + for i, n in enumerate(use_entities): + entites_section_list.append( + [ + i, + n["entity_name"], + n.get("entity_type", "UNKNOWN"), + n.get("description", "UNKNOWN"), + n["rank"], + ] + ) + entities_context = list_of_list_to_csv(entites_section_list) + + text_units_section_list = [["id", "content"]] + for i, t in enumerate(use_text_units): + text_units_section_list.append([i, t["content"]]) + text_units_context = list_of_list_to_csv(text_units_section_list) + + return f""" +-----Entities----- +```csv +{entities_context} +``` +-----Relationships----- +```csv +{relations_context} +``` +-----Sources----- +```csv +{text_units_context} +``` +""" + +async def _find_most_related_entities_from_relationships( + edge_datas: list[dict], + query_param: QueryParam, + knowledge_graph_inst: BaseGraphStorage, +): + entity_names = set() + for e in edge_datas: + entity_names.add(e["src_id"]) + entity_names.add(e["tgt_id"]) + + node_datas = await asyncio.gather( + *[knowledge_graph_inst.get_node(entity_name) for entity_name in entity_names] + ) + + node_degrees = await asyncio.gather( + *[knowledge_graph_inst.node_degree(entity_name) for entity_name in entity_names] + ) + node_datas = [ + {**n, "entity_name": k, "rank": d} + for k, n, d in zip(entity_names, node_datas, node_degrees) + ] + + node_datas = truncate_list_by_token_size( + node_datas, + key=lambda x: x["description"], + max_token_size=query_param.max_token_for_local_context, + ) + + return node_datas + +async def _find_related_text_unit_from_relationships( + edge_datas: list[dict], + query_param: QueryParam, + text_chunks_db: BaseKVStorage[TextChunkSchema], + knowledge_graph_inst: BaseGraphStorage, +): + + text_units = [ + split_string_by_multi_markers(dp["source_id"], [GRAPH_FIELD_SEP]) + for dp in edge_datas + ] + + all_text_units_lookup = {} + + for index, unit_list in enumerate(text_units): + for c_id in unit_list: + if c_id not in all_text_units_lookup: + all_text_units_lookup[c_id] = { + "data": await text_chunks_db.get_by_id(c_id), + "order": index, + } + + if any([v is None for v in all_text_units_lookup.values()]): + logger.warning("Text chunks are missing, maybe the storage is damaged") + all_text_units = [ + {"id": k, **v} for k, v in all_text_units_lookup.items() if v is not None + ] + all_text_units = sorted( + all_text_units, key=lambda x: x["order"] + ) + all_text_units = truncate_list_by_token_size( + all_text_units, + key=lambda x: x["data"]["content"], + max_token_size=query_param.max_token_for_text_unit, + ) + all_text_units: list[TextChunkSchema] = [t["data"] for t in all_text_units] + + return all_text_units + +async def hybird_query( + query, + knowledge_graph_inst: BaseGraphStorage, + entities_vdb: BaseVectorStorage, + relationships_vdb: BaseVectorStorage, + text_chunks_db: BaseKVStorage[TextChunkSchema], + query_param: QueryParam, + global_config: dict, +) -> str: + use_model_func = global_config["llm_model_func"] + + kw_prompt_temp = PROMPTS["keywords_extraction"] + kw_prompt = kw_prompt_temp.format(query=query) + result = await use_model_func(kw_prompt) + + try: + keywords_data = json.loads(result) + hl_keywords = keywords_data.get("high_level_keywords", []) + ll_keywords = keywords_data.get("low_level_keywords", []) + hl_keywords = ', '.join(hl_keywords) + ll_keywords = ', '.join(ll_keywords) + except json.JSONDecodeError as e: + # Handle parsing error + print(f"JSON parsing error: {e}") + return PROMPTS["fail_response"] + + low_level_context = await _build_local_query_context( + ll_keywords, + knowledge_graph_inst, + entities_vdb, + text_chunks_db, + query_param, + ) + + high_level_context = await _build_global_query_context( + hl_keywords, + knowledge_graph_inst, + entities_vdb, + relationships_vdb, + text_chunks_db, + query_param, + ) + + context = combine_contexts(high_level_context, low_level_context) + + if query_param.only_need_context: + return context + if context is None: + return PROMPTS["fail_response"] + + sys_prompt_temp = PROMPTS["rag_response"] + sys_prompt = sys_prompt_temp.format( + context_data=context, response_type=query_param.response_type + ) + response = await use_model_func( + query, + system_prompt=sys_prompt, + ) + return response + +def combine_contexts(high_level_context, low_level_context): + # Function to extract entities, relationships, and sources from context strings + def extract_sections(context): + entities_match = re.search(r'-----Entities-----\s*```csv\s*(.*?)\s*```', context, re.DOTALL) + relationships_match = re.search(r'-----Relationships-----\s*```csv\s*(.*?)\s*```', context, re.DOTALL) + sources_match = re.search(r'-----Sources-----\s*```csv\s*(.*?)\s*```', context, re.DOTALL) + + entities = entities_match.group(1) if entities_match else '' + relationships = relationships_match.group(1) if relationships_match else '' + sources = sources_match.group(1) if sources_match else '' + + return entities, relationships, sources + + # Extract sections from both contexts + hl_entities, hl_relationships, hl_sources = extract_sections(high_level_context) + ll_entities, ll_relationships, ll_sources = extract_sections(low_level_context) + + # Combine and deduplicate the entities + combined_entities_set = set(filter(None, hl_entities.strip().split('\n') + ll_entities.strip().split('\n'))) + combined_entities = '\n'.join(combined_entities_set) + + # Combine and deduplicate the relationships + combined_relationships_set = set(filter(None, hl_relationships.strip().split('\n') + ll_relationships.strip().split('\n'))) + combined_relationships = '\n'.join(combined_relationships_set) + + # Combine and deduplicate the sources + combined_sources_set = set(filter(None, hl_sources.strip().split('\n') + ll_sources.strip().split('\n'))) + combined_sources = '\n'.join(combined_sources_set) + + # Format the combined context + return f""" +-----Entities----- +```csv +{combined_entities} +-----Relationships----- +{combined_relationships} +-----Sources----- +{combined_sources} +""" + +async def naive_query( + query, + chunks_vdb: BaseVectorStorage, + text_chunks_db: BaseKVStorage[TextChunkSchema], + query_param: QueryParam, + global_config: dict, +): + use_model_func = global_config["llm_model_func"] + results = await chunks_vdb.query(query, top_k=query_param.top_k) + if not len(results): + return PROMPTS["fail_response"] + chunks_ids = [r["id"] for r in results] + chunks = await text_chunks_db.get_by_ids(chunks_ids) + + maybe_trun_chunks = truncate_list_by_token_size( + chunks, + key=lambda x: x["content"], + max_token_size=query_param.max_token_for_text_unit, + ) + logger.info(f"Truncate {len(chunks)} to {len(maybe_trun_chunks)} chunks") + section = "--New Chunk--\n".join([c["content"] for c in maybe_trun_chunks]) + if query_param.only_need_context: + return section + sys_prompt_temp = PROMPTS["naive_rag_response"] + sys_prompt = sys_prompt_temp.format( + content_data=section, response_type=query_param.response_type + ) + response = await use_model_func( + query, + system_prompt=sys_prompt, + ) + return response + diff --git a/lightrag/prompt.py b/lightrag/prompt.py new file mode 100644 index 00000000..5d28e49c --- /dev/null +++ b/lightrag/prompt.py @@ -0,0 +1,256 @@ +GRAPH_FIELD_SEP = "" + +PROMPTS = {} + +PROMPTS["DEFAULT_TUPLE_DELIMITER"] = "<|>" +PROMPTS["DEFAULT_RECORD_DELIMITER"] = "##" +PROMPTS["DEFAULT_COMPLETION_DELIMITER"] = "<|COMPLETE|>" +PROMPTS["process_tickers"] = ["⠋", "⠙", "⠹", "⠸", "⠼", "⠴", "⠦", "⠧", "⠇", "⠏"] + +PROMPTS["DEFAULT_ENTITY_TYPES"] = ["organization", "person", "geo", "event"] + +PROMPTS[ + "entity_extraction" +] = """-Goal- +Given a text document that is potentially relevant to this activity and a list of entity types, identify all entities of those types from the text and all relationships among the identified entities. + +-Steps- +1. Identify all entities. For each identified entity, extract the following information: +- entity_name: Name of the entity, capitalized +- entity_type: One of the following types: [{entity_types}] +- entity_description: Comprehensive description of the entity's attributes and activities +Format each entity as ("entity"{tuple_delimiter}{tuple_delimiter}{tuple_delimiter} + +2. From the entities identified in step 1, identify all pairs of (source_entity, target_entity) that are *clearly related* to each other. +For each pair of related entities, extract the following information: +- source_entity: name of the source entity, as identified in step 1 +- target_entity: name of the target entity, as identified in step 1 +- relationship_description: explanation as to why you think the source entity and the target entity are related to each other +- relationship_strength: a numeric score indicating strength of the relationship between the source entity and target entity +- relationship_keywords: one or more high-level key words that summarize the overarching nature of the relationship, focusing on concepts or themes rather than specific details +Format each relationship as ("relationship"{tuple_delimiter}{tuple_delimiter}{tuple_delimiter}{tuple_delimiter}{tuple_delimiter}) + +3. Identify high-level key words that summarize the main concepts, themes, or topics of the entire text. These should capture the overarching ideas present in the document. +Format the content-level key words as ("content_keywords"{tuple_delimiter}) + +4. Return output in English as a single list of all the entities and relationships identified in steps 1 and 2. Use **{record_delimiter}** as the list delimiter. + +5. When finished, output {completion_delimiter} + +###################### +-Examples- +###################### +Example 1: + +Entity_types: [person, technology, mission, organization, location] +Text: +while Alex clenched his jaw, the buzz of frustration dull against the backdrop of Taylor's authoritarian certainty. It was this competitive undercurrent that kept him alert, the sense that his and Jordan's shared commitment to discovery was an unspoken rebellion against Cruz's narrowing vision of control and order. + +Then Taylor did something unexpected. They paused beside Jordan and, for a moment, observed the device with something akin to reverence. “If this tech can be understood..." Taylor said, their voice quieter, "It could change the game for us. For all of us.” + +The underlying dismissal earlier seemed to falter, replaced by a glimpse of reluctant respect for the gravity of what lay in their hands. Jordan looked up, and for a fleeting heartbeat, their eyes locked with Taylor's, a wordless clash of wills softening into an uneasy truce. + +It was a small transformation, barely perceptible, but one that Alex noted with an inward nod. They had all been brought here by different paths +################ +Output: +("entity"{tuple_delimiter}"Alex"{tuple_delimiter}"person"{tuple_delimiter}"Alex is a character who experiences frustration and is observant of the dynamics among other characters."){record_delimiter} +("entity"{tuple_delimiter}"Taylor"{tuple_delimiter}"person"{tuple_delimiter}"Taylor is portrayed with authoritarian certainty and shows a moment of reverence towards a device, indicating a change in perspective."){record_delimiter} +("entity"{tuple_delimiter}"Jordan"{tuple_delimiter}"person"{tuple_delimiter}"Jordan shares a commitment to discovery and has a significant interaction with Taylor regarding a device."){record_delimiter} +("entity"{tuple_delimiter}"Cruz"{tuple_delimiter}"person"{tuple_delimiter}"Cruz is associated with a vision of control and order, influencing the dynamics among other characters."){record_delimiter} +("entity"{tuple_delimiter}"The Device"{tuple_delimiter}"technology"{tuple_delimiter}"The Device is central to the story, with potential game-changing implications, and is revered by Taylor."){record_delimiter} +("relationship"{tuple_delimiter}"Alex"{tuple_delimiter}"Taylor"{tuple_delimiter}"Alex is affected by Taylor's authoritarian certainty and observes changes in Taylor's attitude towards the device."{tuple_delimiter}"power dynamics, perspective shift"{tuple_delimiter}7){record_delimiter} +("relationship"{tuple_delimiter}"Alex"{tuple_delimiter}"Jordan"{tuple_delimiter}"Alex and Jordan share a commitment to discovery, which contrasts with Cruz's vision."{tuple_delimiter}"shared goals, rebellion"{tuple_delimiter}6){record_delimiter} +("relationship"{tuple_delimiter}"Taylor"{tuple_delimiter}"Jordan"{tuple_delimiter}"Taylor and Jordan interact directly regarding the device, leading to a moment of mutual respect and an uneasy truce."{tuple_delimiter}"conflict resolution, mutual respect"{tuple_delimiter}8){record_delimiter} +("relationship"{tuple_delimiter}"Jordan"{tuple_delimiter}"Cruz"{tuple_delimiter}"Jordan's commitment to discovery is in rebellion against Cruz's vision of control and order."{tuple_delimiter}"ideological conflict, rebellion"{tuple_delimiter}5){record_delimiter} +("relationship"{tuple_delimiter}"Taylor"{tuple_delimiter}"The Device"{tuple_delimiter}"Taylor shows reverence towards the device, indicating its importance and potential impact."{tuple_delimiter}"reverence, technological significance"{tuple_delimiter}9){record_delimiter} +("content_keywords"{tuple_delimiter}"power dynamics, ideological conflict, discovery, rebellion"){completion_delimiter} +############################# +Example 2: + +Entity_types: [person, technology, mission, organization, location] +Text: +They were no longer mere operatives; they had become guardians of a threshold, keepers of a message from a realm beyond stars and stripes. This elevation in their mission could not be shackled by regulations and established protocols—it demanded a new perspective, a new resolve. + +Tension threaded through the dialogue of beeps and static as communications with Washington buzzed in the background. The team stood, a portentous air enveloping them. It was clear that the decisions they made in the ensuing hours could redefine humanity's place in the cosmos or condemn them to ignorance and potential peril. + +Their connection to the stars solidified, the group moved to address the crystallizing warning, shifting from passive recipients to active participants. Mercer's latter instincts gained precedence— the team's mandate had evolved, no longer solely to observe and report but to interact and prepare. A metamorphosis had begun, and Operation: Dulce hummed with the newfound frequency of their daring, a tone set not by the earthly +############# +Output: +("entity"{tuple_delimiter}"Washington"{tuple_delimiter}"location"{tuple_delimiter}"Washington is a location where communications are being received, indicating its importance in the decision-making process."){record_delimiter} +("entity"{tuple_delimiter}"Operation: Dulce"{tuple_delimiter}"mission"{tuple_delimiter}"Operation: Dulce is described as a mission that has evolved to interact and prepare, indicating a significant shift in objectives and activities."){record_delimiter} +("entity"{tuple_delimiter}"The team"{tuple_delimiter}"organization"{tuple_delimiter}"The team is portrayed as a group of individuals who have transitioned from passive observers to active participants in a mission, showing a dynamic change in their role."){record_delimiter} +("relationship"{tuple_delimiter}"The team"{tuple_delimiter}"Washington"{tuple_delimiter}"The team receives communications from Washington, which influences their decision-making process."{tuple_delimiter}"decision-making, external influence"{tuple_delimiter}7){record_delimiter} +("relationship"{tuple_delimiter}"The team"{tuple_delimiter}"Operation: Dulce"{tuple_delimiter}"The team is directly involved in Operation: Dulce, executing its evolved objectives and activities."{tuple_delimiter}"mission evolution, active participation"{tuple_delimiter}9){completion_delimiter} +("content_keywords"{tuple_delimiter}"mission evolution, decision-making, active participation, cosmic significance"){completion_delimiter} +############################# +Example 3: + +Entity_types: [person, role, technology, organization, event, location, concept] +Text: +their voice slicing through the buzz of activity. "Control may be an illusion when facing an intelligence that literally writes its own rules," they stated stoically, casting a watchful eye over the flurry of data. + +"It's like it's learning to communicate," offered Sam Rivera from a nearby interface, their youthful energy boding a mix of awe and anxiety. "This gives talking to strangers' a whole new meaning." + +Alex surveyed his team—each face a study in concentration, determination, and not a small measure of trepidation. "This might well be our first contact," he acknowledged, "And we need to be ready for whatever answers back." + +Together, they stood on the edge of the unknown, forging humanity's response to a message from the heavens. The ensuing silence was palpable—a collective introspection about their role in this grand cosmic play, one that could rewrite human history. + +The encrypted dialogue continued to unfold, its intricate patterns showing an almost uncanny anticipation +############# +Output: +("entity"{tuple_delimiter}"Sam Rivera"{tuple_delimiter}"person"{tuple_delimiter}"Sam Rivera is a member of a team working on communicating with an unknown intelligence, showing a mix of awe and anxiety."){record_delimiter} +("entity"{tuple_delimiter}"Alex"{tuple_delimiter}"person"{tuple_delimiter}"Alex is the leader of a team attempting first contact with an unknown intelligence, acknowledging the significance of their task."){record_delimiter} +("entity"{tuple_delimiter}"Control"{tuple_delimiter}"concept"{tuple_delimiter}"Control refers to the ability to manage or govern, which is challenged by an intelligence that writes its own rules."){record_delimiter} +("entity"{tuple_delimiter}"Intelligence"{tuple_delimiter}"concept"{tuple_delimiter}"Intelligence here refers to an unknown entity capable of writing its own rules and learning to communicate."){record_delimiter} +("entity"{tuple_delimiter}"First Contact"{tuple_delimiter}"event"{tuple_delimiter}"First Contact is the potential initial communication between humanity and an unknown intelligence."){record_delimiter} +("entity"{tuple_delimiter}"Humanity's Response"{tuple_delimiter}"event"{tuple_delimiter}"Humanity's Response is the collective action taken by Alex's team in response to a message from an unknown intelligence."){record_delimiter} +("relationship"{tuple_delimiter}"Sam Rivera"{tuple_delimiter}"Intelligence"{tuple_delimiter}"Sam Rivera is directly involved in the process of learning to communicate with the unknown intelligence."{tuple_delimiter}"communication, learning process"{tuple_delimiter}9){record_delimiter} +("relationship"{tuple_delimiter}"Alex"{tuple_delimiter}"First Contact"{tuple_delimiter}"Alex leads the team that might be making the First Contact with the unknown intelligence."{tuple_delimiter}"leadership, exploration"{tuple_delimiter}10){record_delimiter} +("relationship"{tuple_delimiter}"Alex"{tuple_delimiter}"Humanity's Response"{tuple_delimiter}"Alex and his team are the key figures in Humanity's Response to the unknown intelligence."{tuple_delimiter}"collective action, cosmic significance"{tuple_delimiter}8){record_delimiter} +("relationship"{tuple_delimiter}"Control"{tuple_delimiter}"Intelligence"{tuple_delimiter}"The concept of Control is challenged by the Intelligence that writes its own rules."{tuple_delimiter}"power dynamics, autonomy"{tuple_delimiter}7){record_delimiter} +("content_keywords"{tuple_delimiter}"first contact, control, communication, cosmic significance"){completion_delimiter} +############################# +-Real Data- +###################### +Entity_types: {entity_types} +Text: {input_text} +###################### +Output: +""" + +PROMPTS[ + "summarize_entity_descriptions" +] = """You are a helpful assistant responsible for generating a comprehensive summary of the data provided below. +Given one or two entities, and a list of descriptions, all related to the same entity or group of entities. +Please concatenate all of these into a single, comprehensive description. Make sure to include information collected from all the descriptions. +If the provided descriptions are contradictory, please resolve the contradictions and provide a single, coherent summary. +Make sure it is written in third person, and include the entity names so we the have full context. + +####### +-Data- +Entities: {entity_name} +Description List: {description_list} +####### +Output: +""" + +PROMPTS[ + "entiti_continue_extraction" +] = """MANY entities were missed in the last extraction. Add them below using the same format: +""" + +PROMPTS[ + "entiti_if_loop_extraction" +] = """It appears some entities may have still been missed. Answer YES | NO if there are still entities that need to be added. +""" + +PROMPTS["fail_response"] = "Sorry, I'm not able to provide an answer to that question." + +PROMPTS[ + "rag_response" +] = """---Role--- + +You are a helpful assistant responding to questions about data in the tables provided. + + +---Goal--- + +Generate a response of the target length and format that responds to the user's question, summarizing all information in the input data tables appropriate for the response length and format, and incorporating any relevant general knowledge. +If you don't know the answer, just say so. Do not make anything up. +Do not include information where the supporting evidence for it is not provided. + +---Target response length and format--- + +{response_type} + + +---Data tables--- + +{context_data} + + +---Goal--- + +Generate a response of the target length and format that responds to the user's question, summarizing all information in the input data tables appropriate for the response length and format, and incorporating any relevant general knowledge. + +If you don't know the answer, just say so. Do not make anything up. + +Do not include information where the supporting evidence for it is not provided. + + +---Target response length and format--- + +{response_type} + +Add sections and commentary to the response as appropriate for the length and format. Style the response in markdown. +""" + +PROMPTS["keywords_extraction"] = """---Role--- + +You are a helpful assistant tasked with identifying both high-level and low-level keywords in the user's query. + +---Goal--- + +Given the query, list both high-level and low-level keywords. High-level keywords focus on overarching concepts or themes, while low-level keywords focus on specific entities, details, or concrete terms. + +---Instructions--- + +- Output the keywords in JSON format. +- The JSON should have two keys: + - "high_level_keywords" for overarching concepts or themes. + - "low_level_keywords" for specific entities or details. + +###################### +-Examples- +###################### +Example 1: + +Query: "How does international trade influence global economic stability?" +################ +Output: +{{ + "high_level_keywords": ["International trade", "Global economic stability", "Economic impact"], + "low_level_keywords": ["Trade agreements", "Tariffs", "Currency exchange", "Imports", "Exports"] +}} +############################# +Example 2: + +Query: "What are the environmental consequences of deforestation on biodiversity?" +################ +Output: +{{ + "high_level_keywords": ["Environmental consequences", "Deforestation", "Biodiversity loss"], + "low_level_keywords": ["Species extinction", "Habitat destruction", "Carbon emissions", "Rainforest", "Ecosystem"] +}} +############################# +Example 3: + +Query: "What is the role of education in reducing poverty?" +################ +Output: +{{ + "high_level_keywords": ["Education", "Poverty reduction", "Socioeconomic development"], + "low_level_keywords": ["School access", "Literacy rates", "Job training", "Income inequality"] +}} +############################# +-Real Data- +###################### +Query: {query} +###################### +Output: + +""" + +PROMPTS[ + "naive_rag_response" +] = """You're a helpful assistant +Below are the knowledge you know: +{content_data} +--- +If you don't know the answer or if the provided knowledge do not contain sufficient information to provide an answer, just say so. Do not make anything up. +Generate a response of the target length and format that responds to the user's question, summarizing all information in the input data tables appropriate for the response length and format, and incorporating any relevant general knowledge. +If you don't know the answer, just say so. Do not make anything up. +Do not include information where the supporting evidence for it is not provided. +---Target response length and format--- +{response_type} +""" diff --git a/lightrag/storage.py b/lightrag/storage.py new file mode 100644 index 00000000..2f2bb7d8 --- /dev/null +++ b/lightrag/storage.py @@ -0,0 +1,246 @@ +import asyncio +import html +import json +import os +from collections import defaultdict +from dataclasses import dataclass, field +from typing import Any, Union, cast +import pickle +import hnswlib +import networkx as nx +import numpy as np +from nano_vectordb import NanoVectorDB +import xxhash + +from .utils import load_json, logger, write_json +from .base import ( + BaseGraphStorage, + BaseKVStorage, + BaseVectorStorage, +) + +@dataclass +class JsonKVStorage(BaseKVStorage): + def __post_init__(self): + working_dir = self.global_config["working_dir"] + self._file_name = os.path.join(working_dir, f"kv_store_{self.namespace}.json") + self._data = load_json(self._file_name) or {} + logger.info(f"Load KV {self.namespace} with {len(self._data)} data") + + async def all_keys(self) -> list[str]: + return list(self._data.keys()) + + async def index_done_callback(self): + write_json(self._data, self._file_name) + + async def get_by_id(self, id): + return self._data.get(id, None) + + async def get_by_ids(self, ids, fields=None): + if fields is None: + return [self._data.get(id, None) for id in ids] + return [ + ( + {k: v for k, v in self._data[id].items() if k in fields} + if self._data.get(id, None) + else None + ) + for id in ids + ] + + async def filter_keys(self, data: list[str]) -> set[str]: + return set([s for s in data if s not in self._data]) + + async def upsert(self, data: dict[str, dict]): + left_data = {k: v for k, v in data.items() if k not in self._data} + self._data.update(left_data) + return left_data + + async def drop(self): + self._data = {} + +@dataclass +class NanoVectorDBStorage(BaseVectorStorage): + cosine_better_than_threshold: float = 0.2 + + def __post_init__(self): + + self._client_file_name = os.path.join( + self.global_config["working_dir"], f"vdb_{self.namespace}.json" + ) + self._max_batch_size = self.global_config["embedding_batch_num"] + self._client = NanoVectorDB( + self.embedding_func.embedding_dim, storage_file=self._client_file_name + ) + self.cosine_better_than_threshold = self.global_config.get( + "cosine_better_than_threshold", self.cosine_better_than_threshold + ) + + async def upsert(self, data: dict[str, dict]): + logger.info(f"Inserting {len(data)} vectors to {self.namespace}") + if not len(data): + logger.warning("You insert an empty data to vector DB") + return [] + list_data = [ + { + "__id__": k, + **{k1: v1 for k1, v1 in v.items() if k1 in self.meta_fields}, + } + for k, v in data.items() + ] + contents = [v["content"] for v in data.values()] + batches = [ + contents[i : i + self._max_batch_size] + for i in range(0, len(contents), self._max_batch_size) + ] + embeddings_list = await asyncio.gather( + *[self.embedding_func(batch) for batch in batches] + ) + embeddings = np.concatenate(embeddings_list) + for i, d in enumerate(list_data): + d["__vector__"] = embeddings[i] + results = self._client.upsert(datas=list_data) + return results + + async def query(self, query: str, top_k=5): + embedding = await self.embedding_func([query]) + embedding = embedding[0] + results = self._client.query( + query=embedding, + top_k=top_k, + better_than_threshold=self.cosine_better_than_threshold, + ) + results = [ + {**dp, "id": dp["__id__"], "distance": dp["__metrics__"]} for dp in results + ] + return results + + async def index_done_callback(self): + self._client.save() + +@dataclass +class NetworkXStorage(BaseGraphStorage): + @staticmethod + def load_nx_graph(file_name) -> nx.Graph: + if os.path.exists(file_name): + return nx.read_graphml(file_name) + return None + + @staticmethod + def write_nx_graph(graph: nx.Graph, file_name): + logger.info( + f"Writing graph with {graph.number_of_nodes()} nodes, {graph.number_of_edges()} edges" + ) + nx.write_graphml(graph, file_name) + + @staticmethod + def stable_largest_connected_component(graph: nx.Graph) -> nx.Graph: + """Refer to https://github.com/microsoft/graphrag/index/graph/utils/stable_lcc.py + Return the largest connected component of the graph, with nodes and edges sorted in a stable way. + """ + from graspologic.utils import largest_connected_component + + graph = graph.copy() + graph = cast(nx.Graph, largest_connected_component(graph)) + node_mapping = {node: html.unescape(node.upper().strip()) for node in graph.nodes()} # type: ignore + graph = nx.relabel_nodes(graph, node_mapping) + return NetworkXStorage._stabilize_graph(graph) + + @staticmethod + def _stabilize_graph(graph: nx.Graph) -> nx.Graph: + """Refer to https://github.com/microsoft/graphrag/index/graph/utils/stable_lcc.py + Ensure an undirected graph with the same relationships will always be read the same way. + """ + fixed_graph = nx.DiGraph() if graph.is_directed() else nx.Graph() + + sorted_nodes = graph.nodes(data=True) + sorted_nodes = sorted(sorted_nodes, key=lambda x: x[0]) + + fixed_graph.add_nodes_from(sorted_nodes) + edges = list(graph.edges(data=True)) + + if not graph.is_directed(): + + def _sort_source_target(edge): + source, target, edge_data = edge + if source > target: + temp = source + source = target + target = temp + return source, target, edge_data + + edges = [_sort_source_target(edge) for edge in edges] + + def _get_edge_key(source: Any, target: Any) -> str: + return f"{source} -> {target}" + + edges = sorted(edges, key=lambda x: _get_edge_key(x[0], x[1])) + + fixed_graph.add_edges_from(edges) + return fixed_graph + + def __post_init__(self): + self._graphml_xml_file = os.path.join( + self.global_config["working_dir"], f"graph_{self.namespace}.graphml" + ) + preloaded_graph = NetworkXStorage.load_nx_graph(self._graphml_xml_file) + if preloaded_graph is not None: + logger.info( + f"Loaded graph from {self._graphml_xml_file} with {preloaded_graph.number_of_nodes()} nodes, {preloaded_graph.number_of_edges()} edges" + ) + self._graph = preloaded_graph or nx.Graph() + self._node_embed_algorithms = { + "node2vec": self._node2vec_embed, + } + + async def index_done_callback(self): + NetworkXStorage.write_nx_graph(self._graph, self._graphml_xml_file) + + async def has_node(self, node_id: str) -> bool: + return self._graph.has_node(node_id) + + async def has_edge(self, source_node_id: str, target_node_id: str) -> bool: + return self._graph.has_edge(source_node_id, target_node_id) + + async def get_node(self, node_id: str) -> Union[dict, None]: + return self._graph.nodes.get(node_id) + + async def node_degree(self, node_id: str) -> int: + return self._graph.degree(node_id) + + async def edge_degree(self, src_id: str, tgt_id: str) -> int: + return self._graph.degree(src_id) + self._graph.degree(tgt_id) + + async def get_edge( + self, source_node_id: str, target_node_id: str + ) -> Union[dict, None]: + return self._graph.edges.get((source_node_id, target_node_id)) + + async def get_node_edges(self, source_node_id: str): + if self._graph.has_node(source_node_id): + return list(self._graph.edges(source_node_id)) + return None + + async def upsert_node(self, node_id: str, node_data: dict[str, str]): + self._graph.add_node(node_id, **node_data) + + async def upsert_edge( + self, source_node_id: str, target_node_id: str, edge_data: dict[str, str] + ): + self._graph.add_edge(source_node_id, target_node_id, **edge_data) + + async def embed_nodes(self, algorithm: str) -> tuple[np.ndarray, list[str]]: + if algorithm not in self._node_embed_algorithms: + raise ValueError(f"Node embedding algorithm {algorithm} not supported") + return await self._node_embed_algorithms[algorithm]() + + async def _node2vec_embed(self): + from graspologic import embed + + embeddings, nodes = embed.node2vec_embed( + self._graph, + **self.global_config["node2vec_params"], + ) + + nodes_ids = [self._graph.nodes[node_id]["id"] for node_id in nodes] + return embeddings, nodes_ids diff --git a/lightrag/utils.py b/lightrag/utils.py new file mode 100644 index 00000000..c75b4270 --- /dev/null +++ b/lightrag/utils.py @@ -0,0 +1,165 @@ +import asyncio +import html +import json +import logging +import os +import re +from dataclasses import dataclass +from functools import wraps +from hashlib import md5 +from typing import Any, Union + +import numpy as np +import tiktoken + +ENCODER = None + +logger = logging.getLogger("lightrag") + +def set_logger(log_file: str): + logger.setLevel(logging.DEBUG) + + file_handler = logging.FileHandler(log_file) + file_handler.setLevel(logging.DEBUG) + + formatter = logging.Formatter('%(asctime)s - %(name)s - %(levelname)s - %(message)s') + file_handler.setFormatter(formatter) + + if not logger.handlers: + logger.addHandler(file_handler) + +@dataclass +class EmbeddingFunc: + embedding_dim: int + max_token_size: int + func: callable + + async def __call__(self, *args, **kwargs) -> np.ndarray: + return await self.func(*args, **kwargs) + +def locate_json_string_body_from_string(content: str) -> Union[str, None]: + """Locate the JSON string body from a string""" + maybe_json_str = re.search(r"{.*}", content, re.DOTALL) + if maybe_json_str is not None: + return maybe_json_str.group(0) + else: + return None + +def convert_response_to_json(response: str) -> dict: + json_str = locate_json_string_body_from_string(response) + assert json_str is not None, f"Unable to parse JSON from response: {response}" + try: + data = json.loads(json_str) + return data + except json.JSONDecodeError as e: + logger.error(f"Failed to parse JSON: {json_str}") + raise e from None + +def compute_args_hash(*args): + return md5(str(args).encode()).hexdigest() + +def compute_mdhash_id(content, prefix: str = ""): + return prefix + md5(content.encode()).hexdigest() + +def limit_async_func_call(max_size: int, waitting_time: float = 0.0001): + """Add restriction of maximum async calling times for a async func""" + + def final_decro(func): + """Not using async.Semaphore to aovid use nest-asyncio""" + __current_size = 0 + + @wraps(func) + async def wait_func(*args, **kwargs): + nonlocal __current_size + while __current_size >= max_size: + await asyncio.sleep(waitting_time) + __current_size += 1 + result = await func(*args, **kwargs) + __current_size -= 1 + return result + + return wait_func + + return final_decro + +def wrap_embedding_func_with_attrs(**kwargs): + """Wrap a function with attributes""" + + def final_decro(func) -> EmbeddingFunc: + new_func = EmbeddingFunc(**kwargs, func=func) + return new_func + + return final_decro + +def load_json(file_name): + if not os.path.exists(file_name): + return None + with open(file_name) as f: + return json.load(f) + +def write_json(json_obj, file_name): + with open(file_name, "w") as f: + json.dump(json_obj, f, indent=2, ensure_ascii=False) + +def encode_string_by_tiktoken(content: str, model_name: str = "gpt-4o"): + global ENCODER + if ENCODER is None: + ENCODER = tiktoken.encoding_for_model(model_name) + tokens = ENCODER.encode(content) + return tokens + + +def decode_tokens_by_tiktoken(tokens: list[int], model_name: str = "gpt-4o"): + global ENCODER + if ENCODER is None: + ENCODER = tiktoken.encoding_for_model(model_name) + content = ENCODER.decode(tokens) + return content + +def pack_user_ass_to_openai_messages(*args: str): + roles = ["user", "assistant"] + return [ + {"role": roles[i % 2], "content": content} for i, content in enumerate(args) + ] + +def split_string_by_multi_markers(content: str, markers: list[str]) -> list[str]: + """Split a string by multiple markers""" + if not markers: + return [content] + results = re.split("|".join(re.escape(marker) for marker in markers), content) + return [r.strip() for r in results if r.strip()] + +# Refer the utils functions of the official GraphRAG implementation: +# https://github.com/microsoft/graphrag +def clean_str(input: Any) -> str: + """Clean an input string by removing HTML escapes, control characters, and other unwanted characters.""" + # If we get non-string input, just give it back + if not isinstance(input, str): + return input + + result = html.unescape(input.strip()) + # https://stackoverflow.com/questions/4324790/removing-control-characters-from-a-string-in-python + return re.sub(r"[\x00-\x1f\x7f-\x9f]", "", result) + +def is_float_regex(value): + return bool(re.match(r"^[-+]?[0-9]*\.?[0-9]+$", value)) + +def truncate_list_by_token_size(list_data: list, key: callable, max_token_size: int): + """Truncate a list of data by token size""" + if max_token_size <= 0: + return [] + tokens = 0 + for i, data in enumerate(list_data): + tokens += len(encode_string_by_tiktoken(key(data))) + if tokens > max_token_size: + return list_data[:i] + return list_data + +def list_of_list_to_csv(data: list[list]): + return "\n".join( + [",\t".join([str(data_dd) for data_dd in data_d]) for data_d in data] + ) + +def save_data_to_file(data, file_name): + with open(file_name, 'w', encoding='utf-8') as f: + json.dump(data, f, ensure_ascii=False, indent=4) \ No newline at end of file From 3746eabf06eacd8bfc495b06b01d33955f4b2cea Mon Sep 17 00:00:00 2001 From: LarFii <834462287@qq.com> Date: Thu, 10 Oct 2024 15:02:30 +0800 Subject: [PATCH 010/258] update --- README.md | 198 +++++++++ lightrag/__init__.py | 5 + lightrag/base.py | 116 ++++++ lightrag/lightrag.py | 300 ++++++++++++++ lightrag/llm.py | 88 ++++ lightrag/operate.py | 944 +++++++++++++++++++++++++++++++++++++++++++ lightrag/prompt.py | 256 ++++++++++++ lightrag/storage.py | 246 +++++++++++ lightrag/utils.py | 165 ++++++++ 9 files changed, 2318 insertions(+) create mode 100644 README.md create mode 100644 lightrag/__init__.py create mode 100644 lightrag/base.py create mode 100644 lightrag/lightrag.py create mode 100644 lightrag/llm.py create mode 100644 lightrag/operate.py create mode 100644 lightrag/prompt.py create mode 100644 lightrag/storage.py create mode 100644 lightrag/utils.py diff --git a/README.md b/README.md new file mode 100644 index 00000000..42de1c1c --- /dev/null +++ b/README.md @@ -0,0 +1,198 @@ +# LightRAG: Simple and Fast Retrieval-Augmented Generation +![请添加图片描述](https://i-blog.csdnimg.cn/direct/567139f1a36e4564abc63ce5c12b6271.jpeg) + + + + + + +This repository hosts the code of LightRAG. The structure of this code is based on [nano-graphrag](https://github.com/gusye1234/nano-graphrag). +![请添加图片描述](https://i-blog.csdnimg.cn/direct/b2aaf634151b4706892693ffb43d9093.png) +## Install + +* Install from source + +```bash +cd LightRAG +pip install -e . +``` +* Install from PyPI +```bash +pip install lightrag-hku +``` + +## Quick Start + +* Set OpenAI API key in environment: `export OPENAI_API_KEY="sk-...".` +* Download the demo text "A Christmas Carol by Charles Dickens" +```bash +curl https://raw.githubusercontent.com/gusye1234/nano-graphrag/main/tests/mock_data.txt > ./book.txt +``` +Use the below python snippet: + +```python +from lightrag import LightRAG, QueryParam + +rag = LightRAG(working_dir="./dickens") + +with open("./book.txt") as f: + rag.insert(f.read()) + +# Perform naive search +print(rag.query("What are the top themes in this story?", param=QueryParam(mode="naive"))) + +# Perform local search +print(rag.query("What are the top themes in this story?", param=QueryParam(mode="local"))) + +# Perform global search +print(rag.query("What are the top themes in this story?", param=QueryParam(mode="global"))) + +# Perform hybird search +print(rag.query("What are the top themes in this story?", param=QueryParam(mode="hybird"))) +``` +Batch Insert +```python +rag.insert(["TEXT1", "TEXT2",...]) +``` +Incremental Insert + +```python +rag = LightRAG(working_dir="./dickens") + +with open("./newText.txt") as f: + rag.insert(f.read()) +``` +## Evaluation +### Dataset +The dataset used in LightRAG can be download from [TommyChien/UltraDomain](https://huggingface.co/datasets/TommyChien/UltraDomain). + +### Generate Query +LightRAG uses the following prompt to generate high-level queries, with the corresponding code located in `example/generate_query.py`. +```python +Given the following description of a dataset: + +{description} + +Please identify 5 potential users who would engage with this dataset. For each user, list 5 tasks they would perform with this dataset. Then, for each (user, task) combination, generate 5 questions that require a high-level understanding of the entire dataset. + +Output the results in the following structure: +- User 1: [user description] + - Task 1: [task description] + - Question 1: + - Question 2: + - Question 3: + - Question 4: + - Question 5: + - Task 2: [task description] + ... + - Task 5: [task description] +- User 2: [user description] + ... +- User 5: [user description] + ... +``` + + ### Batch Eval +To evaluate the performance of two RAG systems on high-level queries, LightRAG uses the following prompt, with the specific code available in `example/batch_eval.py`. +```python +---Role--- +You are an expert tasked with evaluating two answers to the same question based on three criteria: **Comprehensiveness**, **Diversity**, and **Empowerment**. +---Goal--- +You will evaluate two answers to the same question based on three criteria: **Comprehensiveness**, **Diversity**, and **Empowerment**. + +- **Comprehensiveness**: How much detail does the answer provide to cover all aspects and details of the question? +- **Diversity**: How varied and rich is the answer in providing different perspectives and insights on the question? +- **Empowerment**: How well does the answer help the reader understand and make informed judgments about the topic? + +For each criterion, choose the better answer (either Answer 1 or Answer 2) and explain why. Then, select an overall winner based on these three categories. + +Here is the question: +{query} + +Here are the two answers: + +**Answer 1:** +{answer1} + +**Answer 2:** +{answer2} + +Evaluate both answers using the three criteria listed above and provide detailed explanations for each criterion. + +Output your evaluation in the following JSON format: + +{{ + "Comprehensiveness": {{ + "Winner": "[Answer 1 or Answer 2]", + "Explanation": "[Provide explanation here]" + }}, + "Empowerment": {{ + "Winner": "[Answer 1 or Answer 2]", + "Explanation": "[Provide explanation here]" + }}, + "Overall Winner": {{ + "Winner": "[Answer 1 or Answer 2]", + "Explanation": "[Summarize why this answer is the overall winner based on the three criteria]" + }} +}} +``` +### Overall Performance Table +### Overall Performance Table +| | **Agriculture** | | **CS** | | **Legal** | | **Mix** | | +|----------------------|-------------------------|-----------------------|-----------------------|-----------------------|-----------------------|-----------------------|-----------------------|-----------------------| +| | NaiveRAG | **LightRAG** | NaiveRAG | **LightRAG** | NaiveRAG | **LightRAG** | NaiveRAG | **LightRAG** | +| **Comprehensiveness** | 32.69% | **67.31%** | 35.44% | **64.56%** | 19.05% | **80.95%** | 36.36% | **63.64%** | +| **Diversity** | 24.09% | **75.91%** | 35.24% | **64.76%** | 10.98% | **89.02%** | 30.76% | **69.24%** | +| **Empowerment** | 31.35% | **68.65%** | 35.48% | **64.52%** | 17.59% | **82.41%** | 40.95% | **59.05%** | +| **Overall** | 33.30% | **66.70%** | 34.76% | **65.24%** | 17.46% | **82.54%** | 37.59% | **62.40%** | +| | RQ-RAG | **LightRAG** | RQ-RAG | **LightRAG** | RQ-RAG | **LightRAG** | RQ-RAG | **LightRAG** | +| **Comprehensiveness** | 32.05% | **67.95%** | 39.30% | **60.70%** | 18.57% | **81.43%** | 38.89% | **61.11%** | +| **Diversity** | 29.44% | **70.56%** | 38.71% | **61.29%** | 15.14% | **84.86%** | 28.50% | **71.50%** | +| **Empowerment** | 32.51% | **67.49%** | 37.52% | **62.48%** | 17.80% | **82.20%** | 43.96% | **56.04%** | +| **Overall** | 33.29% | **66.71%** | 39.03% | **60.97%** | 17.80% | **82.20%** | 39.61% | **60.39%** | +| | HyDE | **LightRAG** | HyDE | **LightRAG** | HyDE | **LightRAG** | HyDE | **LightRAG** | +| **Comprehensiveness** | 24.39% | **75.61%** | 36.49% | **63.51%** | 27.68% | **72.32%** | 42.17% | **57.83%** | +| **Diversity** | 24.96% | **75.34%** | 37.41% | **62.59%** | 18.79% | **81.21%** | 30.88% | **69.12%** | +| **Empowerment** | 24.89% | **75.11%** | 34.99% | **65.01%** | 26.99% | **73.01%** | **45.61%** | **54.39%** | +| **Overall** | 23.17% | **76.83%** | 35.67% | **64.33%** | 27.68% | **72.32%** | 42.72% | **57.28%** | +| | GraphRAG | **LightRAG** | GraphRAG | **LightRAG** | GraphRAG | **LightRAG** | GraphRAG | **LightRAG** | +| **Comprehensiveness** | 45.56% | **54.44%** | 45.98% | **54.02%** | 47.13% | **52.87%** | **51.86%** | 48.14% | +| **Diversity** | 19.65% | **80.35%** | 39.64% | **60.36%** | 25.55% | **74.45%** | 35.87% | **64.13%** | +| **Empowerment** | 36.69% | **63.31%** | 45.09% | **54.91%** | 42.81% | **57.19%** | **52.94%** | 47.06% | +| **Overall** | 43.62% | **56.38%** | 45.98% | **54.02%** | 45.70% | **54.30%** | **51.86%** | 48.14% | + +## Code Structure + +```python +. +├── examples +│ ├── batch_eval.py +│ ├── generate_query.py +│ ├── insert.py +│ └── query.py +├── lightrag +│ ├── __init__.py +│ ├── base.py +│ ├── lightrag.py +│ ├── llm.py +│ ├── operate.py +│ ├── prompt.py +│ ├── storage.py +│ └── utils.jpeg +├── LICENSE +├── README.md +├── requirements.txt +└── setup.py +``` +## Citation + +``` +@article{guo2024lightrag, +title={LightRAG: Simple and Fast Retrieval-Augmented Generation}, +author={Zirui Guo and Lianghao Xia and Yanhua Yu and Tu Ao and Chao Huang}, +year={2024}, +eprint={2410.05779}, +archivePrefix={arXiv}, +primaryClass={cs.IR} +} +``` diff --git a/lightrag/__init__.py b/lightrag/__init__.py new file mode 100644 index 00000000..dc497cd4 --- /dev/null +++ b/lightrag/__init__.py @@ -0,0 +1,5 @@ +from .lightrag import LightRAG, QueryParam + +__version__ = "0.0.2" +__author__ = "Zirui Guo" +__url__ = "https://github.com/HKUDS/GraphEdit" diff --git a/lightrag/base.py b/lightrag/base.py new file mode 100644 index 00000000..9c0422fe --- /dev/null +++ b/lightrag/base.py @@ -0,0 +1,116 @@ +from dataclasses import dataclass, field +from typing import TypedDict, Union, Literal, Generic, TypeVar + +import numpy as np + +from .utils import EmbeddingFunc + +TextChunkSchema = TypedDict( + "TextChunkSchema", + {"tokens": int, "content": str, "full_doc_id": str, "chunk_order_index": int}, +) + +T = TypeVar("T") + +@dataclass +class QueryParam: + mode: Literal["local", "global", "hybird", "naive"] = "global" + only_need_context: bool = False + response_type: str = "Multiple Paragraphs" + top_k: int = 60 + max_token_for_text_unit: int = 4000 + max_token_for_global_context: int = 4000 + max_token_for_local_context: int = 4000 + + +@dataclass +class StorageNameSpace: + namespace: str + global_config: dict + + async def index_done_callback(self): + """commit the storage operations after indexing""" + pass + + async def query_done_callback(self): + """commit the storage operations after querying""" + pass + +@dataclass +class BaseVectorStorage(StorageNameSpace): + embedding_func: EmbeddingFunc + meta_fields: set = field(default_factory=set) + + async def query(self, query: str, top_k: int) -> list[dict]: + raise NotImplementedError + + async def upsert(self, data: dict[str, dict]): + """Use 'content' field from value for embedding, use key as id. + If embedding_func is None, use 'embedding' field from value + """ + raise NotImplementedError + +@dataclass +class BaseKVStorage(Generic[T], StorageNameSpace): + async def all_keys(self) -> list[str]: + raise NotImplementedError + + async def get_by_id(self, id: str) -> Union[T, None]: + raise NotImplementedError + + async def get_by_ids( + self, ids: list[str], fields: Union[set[str], None] = None + ) -> list[Union[T, None]]: + raise NotImplementedError + + async def filter_keys(self, data: list[str]) -> set[str]: + """return un-exist keys""" + raise NotImplementedError + + async def upsert(self, data: dict[str, T]): + raise NotImplementedError + + async def drop(self): + raise NotImplementedError + + +@dataclass +class BaseGraphStorage(StorageNameSpace): + async def has_node(self, node_id: str) -> bool: + raise NotImplementedError + + async def has_edge(self, source_node_id: str, target_node_id: str) -> bool: + raise NotImplementedError + + async def node_degree(self, node_id: str) -> int: + raise NotImplementedError + + async def edge_degree(self, src_id: str, tgt_id: str) -> int: + raise NotImplementedError + + async def get_node(self, node_id: str) -> Union[dict, None]: + raise NotImplementedError + + async def get_edge( + self, source_node_id: str, target_node_id: str + ) -> Union[dict, None]: + raise NotImplementedError + + async def get_node_edges( + self, source_node_id: str + ) -> Union[list[tuple[str, str]], None]: + raise NotImplementedError + + async def upsert_node(self, node_id: str, node_data: dict[str, str]): + raise NotImplementedError + + async def upsert_edge( + self, source_node_id: str, target_node_id: str, edge_data: dict[str, str] + ): + raise NotImplementedError + + async def clustering(self, algorithm: str): + raise NotImplementedError + + async def embed_nodes(self, algorithm: str) -> tuple[np.ndarray, list[str]]: + raise NotImplementedError("Node embedding is not used in lightrag.") \ No newline at end of file diff --git a/lightrag/lightrag.py b/lightrag/lightrag.py new file mode 100644 index 00000000..836fda9e --- /dev/null +++ b/lightrag/lightrag.py @@ -0,0 +1,300 @@ +import asyncio +import os +from dataclasses import asdict, dataclass, field +from datetime import datetime +from functools import partial +from typing import Type, cast + +from .llm import gpt_4o_complete, gpt_4o_mini_complete, openai_embedding +from .operate import ( + chunking_by_token_size, + extract_entities, + local_query, + global_query, + hybird_query, + naive_query, +) + +from .storage import ( + JsonKVStorage, + NanoVectorDBStorage, + NetworkXStorage, +) +from .utils import ( + EmbeddingFunc, + compute_mdhash_id, + limit_async_func_call, + convert_response_to_json, + logger, + set_logger, +) +from .base import ( + BaseGraphStorage, + BaseKVStorage, + BaseVectorStorage, + StorageNameSpace, + QueryParam, +) + +def always_get_an_event_loop() -> asyncio.AbstractEventLoop: + try: + # If there is already an event loop, use it. + loop = asyncio.get_event_loop() + except RuntimeError: + # If in a sub-thread, create a new event loop. + logger.info("Creating a new event loop in a sub-thread.") + loop = asyncio.new_event_loop() + asyncio.set_event_loop(loop) + return loop + +@dataclass +class LightRAG: + working_dir: str = field( + default_factory=lambda: f"./lightrag_cache_{datetime.now().strftime('%Y-%m-%d-%H:%M:%S')}" + ) + + # text chunking + chunk_token_size: int = 1200 + chunk_overlap_token_size: int = 100 + tiktoken_model_name: str = "gpt-4o-mini" + + # entity extraction + entity_extract_max_gleaning: int = 1 + entity_summary_to_max_tokens: int = 500 + + # node embedding + node_embedding_algorithm: str = "node2vec" + node2vec_params: dict = field( + default_factory=lambda: { + "dimensions": 1536, + "num_walks": 10, + "walk_length": 40, + "num_walks": 10, + "window_size": 2, + "iterations": 3, + "random_seed": 3, + } + ) + + # text embedding + embedding_func: EmbeddingFunc = field(default_factory=lambda: openai_embedding) + embedding_batch_num: int = 32 + embedding_func_max_async: int = 16 + + # LLM + llm_model_func: callable = gpt_4o_mini_complete + llm_model_max_token_size: int = 32768 + llm_model_max_async: int = 16 + + # storage + key_string_value_json_storage_cls: Type[BaseKVStorage] = JsonKVStorage + vector_db_storage_cls: Type[BaseVectorStorage] = NanoVectorDBStorage + vector_db_storage_cls_kwargs: dict = field(default_factory=dict) + graph_storage_cls: Type[BaseGraphStorage] = NetworkXStorage + enable_llm_cache: bool = True + + # extension + addon_params: dict = field(default_factory=dict) + convert_response_to_json_func: callable = convert_response_to_json + + def __post_init__(self): + log_file = os.path.join(self.working_dir, "lightrag.log") + set_logger(log_file) + logger.info(f"Logger initialized for working directory: {self.working_dir}") + + _print_config = ",\n ".join([f"{k} = {v}" for k, v in asdict(self).items()]) + logger.debug(f"LightRAG init with param:\n {_print_config}\n") + + if not os.path.exists(self.working_dir): + logger.info(f"Creating working directory {self.working_dir}") + os.makedirs(self.working_dir) + + self.full_docs = self.key_string_value_json_storage_cls( + namespace="full_docs", global_config=asdict(self) + ) + + self.text_chunks = self.key_string_value_json_storage_cls( + namespace="text_chunks", global_config=asdict(self) + ) + + self.llm_response_cache = ( + self.key_string_value_json_storage_cls( + namespace="llm_response_cache", global_config=asdict(self) + ) + if self.enable_llm_cache + else None + ) + self.chunk_entity_relation_graph = self.graph_storage_cls( + namespace="chunk_entity_relation", global_config=asdict(self) + ) + self.embedding_func = limit_async_func_call(self.embedding_func_max_async)( + self.embedding_func + ) + self.entities_vdb = ( + self.vector_db_storage_cls( + namespace="entities", + global_config=asdict(self), + embedding_func=self.embedding_func, + meta_fields={"entity_name"} + ) + ) + self.relationships_vdb = ( + self.vector_db_storage_cls( + namespace="relationships", + global_config=asdict(self), + embedding_func=self.embedding_func, + meta_fields={"src_id", "tgt_id"} + ) + ) + self.chunks_vdb = ( + self.vector_db_storage_cls( + namespace="chunks", + global_config=asdict(self), + embedding_func=self.embedding_func, + ) + ) + + self.llm_model_func = limit_async_func_call(self.llm_model_max_async)( + partial(self.llm_model_func, hashing_kv=self.llm_response_cache) + ) + + def insert(self, string_or_strings): + loop = always_get_an_event_loop() + return loop.run_until_complete(self.ainsert(string_or_strings)) + + async def ainsert(self, string_or_strings): + try: + if isinstance(string_or_strings, str): + string_or_strings = [string_or_strings] + + new_docs = { + compute_mdhash_id(c.strip(), prefix="doc-"): {"content": c.strip()} + for c in string_or_strings + } + _add_doc_keys = await self.full_docs.filter_keys(list(new_docs.keys())) + new_docs = {k: v for k, v in new_docs.items() if k in _add_doc_keys} + if not len(new_docs): + logger.warning(f"All docs are already in the storage") + return + logger.info(f"[New Docs] inserting {len(new_docs)} docs") + + inserting_chunks = {} + for doc_key, doc in new_docs.items(): + chunks = { + compute_mdhash_id(dp["content"], prefix="chunk-"): { + **dp, + "full_doc_id": doc_key, + } + for dp in chunking_by_token_size( + doc["content"], + overlap_token_size=self.chunk_overlap_token_size, + max_token_size=self.chunk_token_size, + tiktoken_model=self.tiktoken_model_name, + ) + } + inserting_chunks.update(chunks) + _add_chunk_keys = await self.text_chunks.filter_keys( + list(inserting_chunks.keys()) + ) + inserting_chunks = { + k: v for k, v in inserting_chunks.items() if k in _add_chunk_keys + } + if not len(inserting_chunks): + logger.warning(f"All chunks are already in the storage") + return + logger.info(f"[New Chunks] inserting {len(inserting_chunks)} chunks") + + await self.chunks_vdb.upsert(inserting_chunks) + + logger.info("[Entity Extraction]...") + maybe_new_kg = await extract_entities( + inserting_chunks, + knwoledge_graph_inst=self.chunk_entity_relation_graph, + entity_vdb=self.entities_vdb, + relationships_vdb=self.relationships_vdb, + global_config=asdict(self), + ) + if maybe_new_kg is None: + logger.warning("No new entities and relationships found") + return + self.chunk_entity_relation_graph = maybe_new_kg + + await self.full_docs.upsert(new_docs) + await self.text_chunks.upsert(inserting_chunks) + finally: + await self._insert_done() + + async def _insert_done(self): + tasks = [] + for storage_inst in [ + self.full_docs, + self.text_chunks, + self.llm_response_cache, + self.entities_vdb, + self.relationships_vdb, + self.chunks_vdb, + self.chunk_entity_relation_graph, + ]: + if storage_inst is None: + continue + tasks.append(cast(StorageNameSpace, storage_inst).index_done_callback()) + await asyncio.gather(*tasks) + + def query(self, query: str, param: QueryParam = QueryParam()): + loop = always_get_an_event_loop() + return loop.run_until_complete(self.aquery(query, param)) + + async def aquery(self, query: str, param: QueryParam = QueryParam()): + if param.mode == "local": + response = await local_query( + query, + self.chunk_entity_relation_graph, + self.entities_vdb, + self.relationships_vdb, + self.text_chunks, + param, + asdict(self), + ) + elif param.mode == "global": + response = await global_query( + query, + self.chunk_entity_relation_graph, + self.entities_vdb, + self.relationships_vdb, + self.text_chunks, + param, + asdict(self), + ) + elif param.mode == "hybird": + response = await hybird_query( + query, + self.chunk_entity_relation_graph, + self.entities_vdb, + self.relationships_vdb, + self.text_chunks, + param, + asdict(self), + ) + elif param.mode == "naive": + response = await naive_query( + query, + self.chunks_vdb, + self.text_chunks, + param, + asdict(self), + ) + else: + raise ValueError(f"Unknown mode {param.mode}") + await self._query_done() + return response + + + async def _query_done(self): + tasks = [] + for storage_inst in [self.llm_response_cache]: + if storage_inst is None: + continue + tasks.append(cast(StorageNameSpace, storage_inst).index_done_callback()) + await asyncio.gather(*tasks) + + diff --git a/lightrag/llm.py b/lightrag/llm.py new file mode 100644 index 00000000..ee700a10 --- /dev/null +++ b/lightrag/llm.py @@ -0,0 +1,88 @@ +import os +import numpy as np +from openai import AsyncOpenAI, APIConnectionError, RateLimitError, Timeout +from tenacity import ( + retry, + stop_after_attempt, + wait_exponential, + retry_if_exception_type, +) + +from .base import BaseKVStorage +from .utils import compute_args_hash, wrap_embedding_func_with_attrs + +@retry( + stop=stop_after_attempt(3), + wait=wait_exponential(multiplier=1, min=4, max=10), + retry=retry_if_exception_type((RateLimitError, APIConnectionError, Timeout)), +) +async def openai_complete_if_cache( + model, prompt, system_prompt=None, history_messages=[], **kwargs +) -> str: + openai_async_client = AsyncOpenAI() + hashing_kv: BaseKVStorage = kwargs.pop("hashing_kv", None) + messages = [] + if system_prompt: + messages.append({"role": "system", "content": system_prompt}) + messages.extend(history_messages) + messages.append({"role": "user", "content": prompt}) + if hashing_kv is not None: + args_hash = compute_args_hash(model, messages) + if_cache_return = await hashing_kv.get_by_id(args_hash) + if if_cache_return is not None: + return if_cache_return["return"] + + response = await openai_async_client.chat.completions.create( + model=model, messages=messages, **kwargs + ) + + if hashing_kv is not None: + await hashing_kv.upsert( + {args_hash: {"return": response.choices[0].message.content, "model": model}} + ) + return response.choices[0].message.content + +async def gpt_4o_complete( + prompt, system_prompt=None, history_messages=[], **kwargs +) -> str: + return await openai_complete_if_cache( + "gpt-4o", + prompt, + system_prompt=system_prompt, + history_messages=history_messages, + **kwargs, + ) + + +async def gpt_4o_mini_complete( + prompt, system_prompt=None, history_messages=[], **kwargs +) -> str: + return await openai_complete_if_cache( + "gpt-4o-mini", + prompt, + system_prompt=system_prompt, + history_messages=history_messages, + **kwargs, + ) + +@wrap_embedding_func_with_attrs(embedding_dim=1536, max_token_size=8192) +@retry( + stop=stop_after_attempt(3), + wait=wait_exponential(multiplier=1, min=4, max=10), + retry=retry_if_exception_type((RateLimitError, APIConnectionError, Timeout)), +) +async def openai_embedding(texts: list[str]) -> np.ndarray: + openai_async_client = AsyncOpenAI() + response = await openai_async_client.embeddings.create( + model="text-embedding-3-small", input=texts, encoding_format="float" + ) + return np.array([dp.embedding for dp in response.data]) + +if __name__ == "__main__": + import asyncio + + async def main(): + result = await gpt_4o_mini_complete('How are you?') + print(result) + + asyncio.run(main()) diff --git a/lightrag/operate.py b/lightrag/operate.py new file mode 100644 index 00000000..2d3271da --- /dev/null +++ b/lightrag/operate.py @@ -0,0 +1,944 @@ +import asyncio +import json +import re +from typing import Union +from collections import Counter, defaultdict + +from .utils import ( + logger, + clean_str, + compute_mdhash_id, + decode_tokens_by_tiktoken, + encode_string_by_tiktoken, + is_float_regex, + list_of_list_to_csv, + pack_user_ass_to_openai_messages, + split_string_by_multi_markers, + truncate_list_by_token_size, +) +from .base import ( + BaseGraphStorage, + BaseKVStorage, + BaseVectorStorage, + TextChunkSchema, + QueryParam, +) +from .prompt import GRAPH_FIELD_SEP, PROMPTS + +def chunking_by_token_size( + content: str, overlap_token_size=128, max_token_size=1024, tiktoken_model="gpt-4o" +): + tokens = encode_string_by_tiktoken(content, model_name=tiktoken_model) + results = [] + for index, start in enumerate( + range(0, len(tokens), max_token_size - overlap_token_size) + ): + chunk_content = decode_tokens_by_tiktoken( + tokens[start : start + max_token_size], model_name=tiktoken_model + ) + results.append( + { + "tokens": min(max_token_size, len(tokens) - start), + "content": chunk_content.strip(), + "chunk_order_index": index, + } + ) + return results + +async def _handle_entity_relation_summary( + entity_or_relation_name: str, + description: str, + global_config: dict, +) -> str: + use_llm_func: callable = global_config["llm_model_func"] + llm_max_tokens = global_config["llm_model_max_token_size"] + tiktoken_model_name = global_config["tiktoken_model_name"] + summary_max_tokens = global_config["entity_summary_to_max_tokens"] + + tokens = encode_string_by_tiktoken(description, model_name=tiktoken_model_name) + if len(tokens) < summary_max_tokens: # No need for summary + return description + prompt_template = PROMPTS["summarize_entity_descriptions"] + use_description = decode_tokens_by_tiktoken( + tokens[:llm_max_tokens], model_name=tiktoken_model_name + ) + context_base = dict( + entity_name=entity_or_relation_name, + description_list=use_description.split(GRAPH_FIELD_SEP), + ) + use_prompt = prompt_template.format(**context_base) + logger.debug(f"Trigger summary: {entity_or_relation_name}") + summary = await use_llm_func(use_prompt, max_tokens=summary_max_tokens) + return summary + + +async def _handle_single_entity_extraction( + record_attributes: list[str], + chunk_key: str, +): + if record_attributes[0] != '"entity"' or len(record_attributes) < 4: + return None + # add this record as a node in the G + entity_name = clean_str(record_attributes[1].upper()) + if not entity_name.strip(): + return None + entity_type = clean_str(record_attributes[2].upper()) + entity_description = clean_str(record_attributes[3]) + entity_source_id = chunk_key + return dict( + entity_name=entity_name, + entity_type=entity_type, + description=entity_description, + source_id=entity_source_id, + ) + + +async def _handle_single_relationship_extraction( + record_attributes: list[str], + chunk_key: str, +): + if record_attributes[0] != '"relationship"' or len(record_attributes) < 5: + return None + # add this record as edge + source = clean_str(record_attributes[1].upper()) + target = clean_str(record_attributes[2].upper()) + edge_description = clean_str(record_attributes[3]) + + edge_keywords = clean_str(record_attributes[4]) + edge_source_id = chunk_key + weight = ( + float(record_attributes[-1]) if is_float_regex(record_attributes[-1]) else 1.0 + ) + return dict( + src_id=source, + tgt_id=target, + weight=weight, + description=edge_description, + keywords=edge_keywords, + source_id=edge_source_id, + ) + + +async def _merge_nodes_then_upsert( + entity_name: str, + nodes_data: list[dict], + knwoledge_graph_inst: BaseGraphStorage, + global_config: dict, +): + already_entitiy_types = [] + already_source_ids = [] + already_description = [] + + already_node = await knwoledge_graph_inst.get_node(entity_name) + if already_node is not None: + already_entitiy_types.append(already_node["entity_type"]) + already_source_ids.extend( + split_string_by_multi_markers(already_node["source_id"], [GRAPH_FIELD_SEP]) + ) + already_description.append(already_node["description"]) + + entity_type = sorted( + Counter( + [dp["entity_type"] for dp in nodes_data] + already_entitiy_types + ).items(), + key=lambda x: x[1], + reverse=True, + )[0][0] + description = GRAPH_FIELD_SEP.join( + sorted(set([dp["description"] for dp in nodes_data] + already_description)) + ) + source_id = GRAPH_FIELD_SEP.join( + set([dp["source_id"] for dp in nodes_data] + already_source_ids) + ) + description = await _handle_entity_relation_summary( + entity_name, description, global_config + ) + node_data = dict( + entity_type=entity_type, + description=description, + source_id=source_id, + ) + await knwoledge_graph_inst.upsert_node( + entity_name, + node_data=node_data, + ) + node_data["entity_name"] = entity_name + return node_data + + +async def _merge_edges_then_upsert( + src_id: str, + tgt_id: str, + edges_data: list[dict], + knwoledge_graph_inst: BaseGraphStorage, + global_config: dict, +): + already_weights = [] + already_source_ids = [] + already_description = [] + already_keywords = [] + + if await knwoledge_graph_inst.has_edge(src_id, tgt_id): + already_edge = await knwoledge_graph_inst.get_edge(src_id, tgt_id) + already_weights.append(already_edge["weight"]) + already_source_ids.extend( + split_string_by_multi_markers(already_edge["source_id"], [GRAPH_FIELD_SEP]) + ) + already_description.append(already_edge["description"]) + already_keywords.extend( + split_string_by_multi_markers(already_edge["keywords"], [GRAPH_FIELD_SEP]) + ) + + weight = sum([dp["weight"] for dp in edges_data] + already_weights) + description = GRAPH_FIELD_SEP.join( + sorted(set([dp["description"] for dp in edges_data] + already_description)) + ) + keywords = GRAPH_FIELD_SEP.join( + sorted(set([dp["keywords"] for dp in edges_data] + already_keywords)) + ) + source_id = GRAPH_FIELD_SEP.join( + set([dp["source_id"] for dp in edges_data] + already_source_ids) + ) + for need_insert_id in [src_id, tgt_id]: + if not (await knwoledge_graph_inst.has_node(need_insert_id)): + await knwoledge_graph_inst.upsert_node( + need_insert_id, + node_data={ + "source_id": source_id, + "description": description, + "entity_type": '"UNKNOWN"', + }, + ) + description = await _handle_entity_relation_summary( + (src_id, tgt_id), description, global_config + ) + await knwoledge_graph_inst.upsert_edge( + src_id, + tgt_id, + edge_data=dict( + weight=weight, + description=description, + keywords=keywords, + source_id=source_id, + ), + ) + + edge_data = dict( + src_id=src_id, + tgt_id=tgt_id, + description=description, + keywords=keywords, + ) + + return edge_data + +async def extract_entities( + chunks: dict[str, TextChunkSchema], + knwoledge_graph_inst: BaseGraphStorage, + entity_vdb: BaseVectorStorage, + relationships_vdb: BaseVectorStorage, + global_config: dict, +) -> Union[BaseGraphStorage, None]: + use_llm_func: callable = global_config["llm_model_func"] + entity_extract_max_gleaning = global_config["entity_extract_max_gleaning"] + + ordered_chunks = list(chunks.items()) + + entity_extract_prompt = PROMPTS["entity_extraction"] + context_base = dict( + tuple_delimiter=PROMPTS["DEFAULT_TUPLE_DELIMITER"], + record_delimiter=PROMPTS["DEFAULT_RECORD_DELIMITER"], + completion_delimiter=PROMPTS["DEFAULT_COMPLETION_DELIMITER"], + entity_types=",".join(PROMPTS["DEFAULT_ENTITY_TYPES"]), + ) + continue_prompt = PROMPTS["entiti_continue_extraction"] + if_loop_prompt = PROMPTS["entiti_if_loop_extraction"] + + already_processed = 0 + already_entities = 0 + already_relations = 0 + + async def _process_single_content(chunk_key_dp: tuple[str, TextChunkSchema]): + nonlocal already_processed, already_entities, already_relations + chunk_key = chunk_key_dp[0] + chunk_dp = chunk_key_dp[1] + content = chunk_dp["content"] + hint_prompt = entity_extract_prompt.format(**context_base, input_text=content) + final_result = await use_llm_func(hint_prompt) + + history = pack_user_ass_to_openai_messages(hint_prompt, final_result) + for now_glean_index in range(entity_extract_max_gleaning): + glean_result = await use_llm_func(continue_prompt, history_messages=history) + + history += pack_user_ass_to_openai_messages(continue_prompt, glean_result) + final_result += glean_result + if now_glean_index == entity_extract_max_gleaning - 1: + break + + if_loop_result: str = await use_llm_func( + if_loop_prompt, history_messages=history + ) + if_loop_result = if_loop_result.strip().strip('"').strip("'").lower() + if if_loop_result != "yes": + break + + records = split_string_by_multi_markers( + final_result, + [context_base["record_delimiter"], context_base["completion_delimiter"]], + ) + + maybe_nodes = defaultdict(list) + maybe_edges = defaultdict(list) + for record in records: + record = re.search(r"\((.*)\)", record) + if record is None: + continue + record = record.group(1) + record_attributes = split_string_by_multi_markers( + record, [context_base["tuple_delimiter"]] + ) + if_entities = await _handle_single_entity_extraction( + record_attributes, chunk_key + ) + if if_entities is not None: + maybe_nodes[if_entities["entity_name"]].append(if_entities) + continue + + if_relation = await _handle_single_relationship_extraction( + record_attributes, chunk_key + ) + if if_relation is not None: + maybe_edges[(if_relation["src_id"], if_relation["tgt_id"])].append( + if_relation + ) + already_processed += 1 + already_entities += len(maybe_nodes) + already_relations += len(maybe_edges) + now_ticks = PROMPTS["process_tickers"][ + already_processed % len(PROMPTS["process_tickers"]) + ] + print( + f"{now_ticks} Processed {already_processed} chunks, {already_entities} entities(duplicated), {already_relations} relations(duplicated)\r", + end="", + flush=True, + ) + return dict(maybe_nodes), dict(maybe_edges) + + # use_llm_func is wrapped in ascynio.Semaphore, limiting max_async callings + results = await asyncio.gather( + *[_process_single_content(c) for c in ordered_chunks] + ) + print() # clear the progress bar + maybe_nodes = defaultdict(list) + maybe_edges = defaultdict(list) + for m_nodes, m_edges in results: + for k, v in m_nodes.items(): + maybe_nodes[k].extend(v) + for k, v in m_edges.items(): + maybe_edges[tuple(sorted(k))].extend(v) + all_entities_data = await asyncio.gather( + *[ + _merge_nodes_then_upsert(k, v, knwoledge_graph_inst, global_config) + for k, v in maybe_nodes.items() + ] + ) + all_relationships_data = await asyncio.gather( + *[ + _merge_edges_then_upsert(k[0], k[1], v, knwoledge_graph_inst, global_config) + for k, v in maybe_edges.items() + ] + ) + if not len(all_entities_data): + logger.warning("Didn't extract any entities, maybe your LLM is not working") + return None + if not len(all_relationships_data): + logger.warning("Didn't extract any relationships, maybe your LLM is not working") + return None + + if entity_vdb is not None: + data_for_vdb = { + compute_mdhash_id(dp["entity_name"], prefix="ent-"): { + "content": dp["entity_name"] + dp["description"], + "entity_name": dp["entity_name"], + } + for dp in all_entities_data + } + await entity_vdb.upsert(data_for_vdb) + + if relationships_vdb is not None: + data_for_vdb = { + compute_mdhash_id(dp["src_id"] + dp["tgt_id"], prefix="rel-"): { + "src_id": dp["src_id"], + "tgt_id": dp["tgt_id"], + "content": dp["keywords"] + dp["src_id"] + dp["tgt_id"] + dp["description"], + } + for dp in all_relationships_data + } + await relationships_vdb.upsert(data_for_vdb) + + return knwoledge_graph_inst + +async def local_query( + query, + knowledge_graph_inst: BaseGraphStorage, + entities_vdb: BaseVectorStorage, + relationships_vdb: BaseVectorStorage, + text_chunks_db: BaseKVStorage[TextChunkSchema], + query_param: QueryParam, + global_config: dict, +) -> str: + use_model_func = global_config["llm_model_func"] + + kw_prompt_temp = PROMPTS["keywords_extraction"] + kw_prompt = kw_prompt_temp.format(query=query) + result = await use_model_func(kw_prompt) + + try: + keywords_data = json.loads(result) + keywords = keywords_data.get("low_level_keywords", []) + keywords = ', '.join(keywords) + except json.JSONDecodeError as e: + # Handle parsing error + print(f"JSON parsing error: {e}") + return PROMPTS["fail_response"] + + context = await _build_local_query_context( + keywords, + knowledge_graph_inst, + entities_vdb, + text_chunks_db, + query_param, + ) + if query_param.only_need_context: + return context + if context is None: + return PROMPTS["fail_response"] + sys_prompt_temp = PROMPTS["rag_response"] + sys_prompt = sys_prompt_temp.format( + context_data=context, response_type=query_param.response_type + ) + response = await use_model_func( + query, + system_prompt=sys_prompt, + ) + return response + +async def _build_local_query_context( + query, + knowledge_graph_inst: BaseGraphStorage, + entities_vdb: BaseVectorStorage, + text_chunks_db: BaseKVStorage[TextChunkSchema], + query_param: QueryParam, +): + results = await entities_vdb.query(query, top_k=query_param.top_k) + if not len(results): + return None + node_datas = await asyncio.gather( + *[knowledge_graph_inst.get_node(r["entity_name"]) for r in results] + ) + if not all([n is not None for n in node_datas]): + logger.warning("Some nodes are missing, maybe the storage is damaged") + node_degrees = await asyncio.gather( + *[knowledge_graph_inst.node_degree(r["entity_name"]) for r in results] + ) + node_datas = [ + {**n, "entity_name": k["entity_name"], "rank": d} + for k, n, d in zip(results, node_datas, node_degrees) + if n is not None + ] + use_text_units = await _find_most_related_text_unit_from_entities( + node_datas, query_param, text_chunks_db, knowledge_graph_inst + ) + use_relations = await _find_most_related_edges_from_entities( + node_datas, query_param, knowledge_graph_inst + ) + logger.info( + f"Local query uses {len(node_datas)} entites, {len(use_relations)} relations, {len(use_text_units)} text units" + ) + entites_section_list = [["id", "entity", "type", "description", "rank"]] + for i, n in enumerate(node_datas): + entites_section_list.append( + [ + i, + n["entity_name"], + n.get("entity_type", "UNKNOWN"), + n.get("description", "UNKNOWN"), + n["rank"], + ] + ) + entities_context = list_of_list_to_csv(entites_section_list) + + relations_section_list = [ + ["id", "source", "target", "description", "keywords", "weight", "rank"] + ] + for i, e in enumerate(use_relations): + relations_section_list.append( + [ + i, + e["src_tgt"][0], + e["src_tgt"][1], + e["description"], + e["keywords"], + e["weight"], + e["rank"], + ] + ) + relations_context = list_of_list_to_csv(relations_section_list) + + text_units_section_list = [["id", "content"]] + for i, t in enumerate(use_text_units): + text_units_section_list.append([i, t["content"]]) + text_units_context = list_of_list_to_csv(text_units_section_list) + return f""" +-----Entities----- +```csv +{entities_context} +``` +-----Relationships----- +```csv +{relations_context} +``` +-----Sources----- +```csv +{text_units_context} +``` +""" + +async def _find_most_related_text_unit_from_entities( + node_datas: list[dict], + query_param: QueryParam, + text_chunks_db: BaseKVStorage[TextChunkSchema], + knowledge_graph_inst: BaseGraphStorage, +): + text_units = [ + split_string_by_multi_markers(dp["source_id"], [GRAPH_FIELD_SEP]) + for dp in node_datas + ] + edges = await asyncio.gather( + *[knowledge_graph_inst.get_node_edges(dp["entity_name"]) for dp in node_datas] + ) + all_one_hop_nodes = set() + for this_edges in edges: + if not this_edges: + continue + all_one_hop_nodes.update([e[1] for e in this_edges]) + all_one_hop_nodes = list(all_one_hop_nodes) + all_one_hop_nodes_data = await asyncio.gather( + *[knowledge_graph_inst.get_node(e) for e in all_one_hop_nodes] + ) + all_one_hop_text_units_lookup = { + k: set(split_string_by_multi_markers(v["source_id"], [GRAPH_FIELD_SEP])) + for k, v in zip(all_one_hop_nodes, all_one_hop_nodes_data) + if v is not None + } + all_text_units_lookup = {} + for index, (this_text_units, this_edges) in enumerate(zip(text_units, edges)): + for c_id in this_text_units: + if c_id in all_text_units_lookup: + continue + relation_counts = 0 + for e in this_edges: + if ( + e[1] in all_one_hop_text_units_lookup + and c_id in all_one_hop_text_units_lookup[e[1]] + ): + relation_counts += 1 + all_text_units_lookup[c_id] = { + "data": await text_chunks_db.get_by_id(c_id), + "order": index, + "relation_counts": relation_counts, + } + if any([v is None for v in all_text_units_lookup.values()]): + logger.warning("Text chunks are missing, maybe the storage is damaged") + all_text_units = [ + {"id": k, **v} for k, v in all_text_units_lookup.items() if v is not None + ] + all_text_units = sorted( + all_text_units, key=lambda x: (x["order"], -x["relation_counts"]) + ) + all_text_units = truncate_list_by_token_size( + all_text_units, + key=lambda x: x["data"]["content"], + max_token_size=query_param.max_token_for_text_unit, + ) + all_text_units: list[TextChunkSchema] = [t["data"] for t in all_text_units] + return all_text_units + +async def _find_most_related_edges_from_entities( + node_datas: list[dict], + query_param: QueryParam, + knowledge_graph_inst: BaseGraphStorage, +): + all_related_edges = await asyncio.gather( + *[knowledge_graph_inst.get_node_edges(dp["entity_name"]) for dp in node_datas] + ) + all_edges = set() + for this_edges in all_related_edges: + all_edges.update([tuple(sorted(e)) for e in this_edges]) + all_edges = list(all_edges) + all_edges_pack = await asyncio.gather( + *[knowledge_graph_inst.get_edge(e[0], e[1]) for e in all_edges] + ) + all_edges_degree = await asyncio.gather( + *[knowledge_graph_inst.edge_degree(e[0], e[1]) for e in all_edges] + ) + all_edges_data = [ + {"src_tgt": k, "rank": d, **v} + for k, v, d in zip(all_edges, all_edges_pack, all_edges_degree) + if v is not None + ] + all_edges_data = sorted( + all_edges_data, key=lambda x: (x["rank"], x["weight"]), reverse=True + ) + all_edges_data = truncate_list_by_token_size( + all_edges_data, + key=lambda x: x["description"], + max_token_size=query_param.max_token_for_global_context, + ) + return all_edges_data + +async def global_query( + query, + knowledge_graph_inst: BaseGraphStorage, + entities_vdb: BaseVectorStorage, + relationships_vdb: BaseVectorStorage, + text_chunks_db: BaseKVStorage[TextChunkSchema], + query_param: QueryParam, + global_config: dict, +) -> str: + use_model_func = global_config["llm_model_func"] + + kw_prompt_temp = PROMPTS["keywords_extraction"] + kw_prompt = kw_prompt_temp.format(query=query) + result = await use_model_func(kw_prompt) + + try: + keywords_data = json.loads(result) + keywords = keywords_data.get("high_level_keywords", []) + keywords = ', '.join(keywords) + except json.JSONDecodeError as e: + # Handle parsing error + print(f"JSON parsing error: {e}") + return PROMPTS["fail_response"] + + context = await _build_global_query_context( + keywords, + knowledge_graph_inst, + entities_vdb, + relationships_vdb, + text_chunks_db, + query_param, + ) + + if query_param.only_need_context: + return context + if context is None: + return PROMPTS["fail_response"] + + sys_prompt_temp = PROMPTS["rag_response"] + sys_prompt = sys_prompt_temp.format( + context_data=context, response_type=query_param.response_type + ) + response = await use_model_func( + query, + system_prompt=sys_prompt, + ) + return response + +async def _build_global_query_context( + keywords, + knowledge_graph_inst: BaseGraphStorage, + entities_vdb: BaseVectorStorage, + relationships_vdb: BaseVectorStorage, + text_chunks_db: BaseKVStorage[TextChunkSchema], + query_param: QueryParam, +): + results = await relationships_vdb.query(keywords, top_k=query_param.top_k) + + if not len(results): + return None + + edge_datas = await asyncio.gather( + *[knowledge_graph_inst.get_edge(r["src_id"], r["tgt_id"]) for r in results] + ) + + if not all([n is not None for n in edge_datas]): + logger.warning("Some edges are missing, maybe the storage is damaged") + edge_degree = await asyncio.gather( + *[knowledge_graph_inst.edge_degree(r["src_id"], r["tgt_id"]) for r in results] + ) + edge_datas = [ + {"src_id": k["src_id"], "tgt_id": k["tgt_id"], "rank": d, **v} + for k, v, d in zip(results, edge_datas, edge_degree) + if v is not None + ] + edge_datas = sorted( + edge_datas, key=lambda x: (x["rank"], x["weight"]), reverse=True + ) + edge_datas = truncate_list_by_token_size( + edge_datas, + key=lambda x: x["description"], + max_token_size=query_param.max_token_for_global_context, + ) + + use_entities = await _find_most_related_entities_from_relationships( + edge_datas, query_param, knowledge_graph_inst + ) + use_text_units = await _find_related_text_unit_from_relationships( + edge_datas, query_param, text_chunks_db, knowledge_graph_inst + ) + logger.info( + f"Global query uses {len(use_entities)} entites, {len(edge_datas)} relations, {len(use_text_units)} text units" + ) + relations_section_list = [ + ["id", "source", "target", "description", "keywords", "weight", "rank"] + ] + for i, e in enumerate(edge_datas): + relations_section_list.append( + [ + i, + e["src_id"], + e["tgt_id"], + e["description"], + e["keywords"], + e["weight"], + e["rank"], + ] + ) + relations_context = list_of_list_to_csv(relations_section_list) + + entites_section_list = [["id", "entity", "type", "description", "rank"]] + for i, n in enumerate(use_entities): + entites_section_list.append( + [ + i, + n["entity_name"], + n.get("entity_type", "UNKNOWN"), + n.get("description", "UNKNOWN"), + n["rank"], + ] + ) + entities_context = list_of_list_to_csv(entites_section_list) + + text_units_section_list = [["id", "content"]] + for i, t in enumerate(use_text_units): + text_units_section_list.append([i, t["content"]]) + text_units_context = list_of_list_to_csv(text_units_section_list) + + return f""" +-----Entities----- +```csv +{entities_context} +``` +-----Relationships----- +```csv +{relations_context} +``` +-----Sources----- +```csv +{text_units_context} +``` +""" + +async def _find_most_related_entities_from_relationships( + edge_datas: list[dict], + query_param: QueryParam, + knowledge_graph_inst: BaseGraphStorage, +): + entity_names = set() + for e in edge_datas: + entity_names.add(e["src_id"]) + entity_names.add(e["tgt_id"]) + + node_datas = await asyncio.gather( + *[knowledge_graph_inst.get_node(entity_name) for entity_name in entity_names] + ) + + node_degrees = await asyncio.gather( + *[knowledge_graph_inst.node_degree(entity_name) for entity_name in entity_names] + ) + node_datas = [ + {**n, "entity_name": k, "rank": d} + for k, n, d in zip(entity_names, node_datas, node_degrees) + ] + + node_datas = truncate_list_by_token_size( + node_datas, + key=lambda x: x["description"], + max_token_size=query_param.max_token_for_local_context, + ) + + return node_datas + +async def _find_related_text_unit_from_relationships( + edge_datas: list[dict], + query_param: QueryParam, + text_chunks_db: BaseKVStorage[TextChunkSchema], + knowledge_graph_inst: BaseGraphStorage, +): + + text_units = [ + split_string_by_multi_markers(dp["source_id"], [GRAPH_FIELD_SEP]) + for dp in edge_datas + ] + + all_text_units_lookup = {} + + for index, unit_list in enumerate(text_units): + for c_id in unit_list: + if c_id not in all_text_units_lookup: + all_text_units_lookup[c_id] = { + "data": await text_chunks_db.get_by_id(c_id), + "order": index, + } + + if any([v is None for v in all_text_units_lookup.values()]): + logger.warning("Text chunks are missing, maybe the storage is damaged") + all_text_units = [ + {"id": k, **v} for k, v in all_text_units_lookup.items() if v is not None + ] + all_text_units = sorted( + all_text_units, key=lambda x: x["order"] + ) + all_text_units = truncate_list_by_token_size( + all_text_units, + key=lambda x: x["data"]["content"], + max_token_size=query_param.max_token_for_text_unit, + ) + all_text_units: list[TextChunkSchema] = [t["data"] for t in all_text_units] + + return all_text_units + +async def hybird_query( + query, + knowledge_graph_inst: BaseGraphStorage, + entities_vdb: BaseVectorStorage, + relationships_vdb: BaseVectorStorage, + text_chunks_db: BaseKVStorage[TextChunkSchema], + query_param: QueryParam, + global_config: dict, +) -> str: + use_model_func = global_config["llm_model_func"] + + kw_prompt_temp = PROMPTS["keywords_extraction"] + kw_prompt = kw_prompt_temp.format(query=query) + result = await use_model_func(kw_prompt) + + try: + keywords_data = json.loads(result) + hl_keywords = keywords_data.get("high_level_keywords", []) + ll_keywords = keywords_data.get("low_level_keywords", []) + hl_keywords = ', '.join(hl_keywords) + ll_keywords = ', '.join(ll_keywords) + except json.JSONDecodeError as e: + # Handle parsing error + print(f"JSON parsing error: {e}") + return PROMPTS["fail_response"] + + low_level_context = await _build_local_query_context( + ll_keywords, + knowledge_graph_inst, + entities_vdb, + text_chunks_db, + query_param, + ) + + high_level_context = await _build_global_query_context( + hl_keywords, + knowledge_graph_inst, + entities_vdb, + relationships_vdb, + text_chunks_db, + query_param, + ) + + context = combine_contexts(high_level_context, low_level_context) + + if query_param.only_need_context: + return context + if context is None: + return PROMPTS["fail_response"] + + sys_prompt_temp = PROMPTS["rag_response"] + sys_prompt = sys_prompt_temp.format( + context_data=context, response_type=query_param.response_type + ) + response = await use_model_func( + query, + system_prompt=sys_prompt, + ) + return response + +def combine_contexts(high_level_context, low_level_context): + # Function to extract entities, relationships, and sources from context strings + def extract_sections(context): + entities_match = re.search(r'-----Entities-----\s*```csv\s*(.*?)\s*```', context, re.DOTALL) + relationships_match = re.search(r'-----Relationships-----\s*```csv\s*(.*?)\s*```', context, re.DOTALL) + sources_match = re.search(r'-----Sources-----\s*```csv\s*(.*?)\s*```', context, re.DOTALL) + + entities = entities_match.group(1) if entities_match else '' + relationships = relationships_match.group(1) if relationships_match else '' + sources = sources_match.group(1) if sources_match else '' + + return entities, relationships, sources + + # Extract sections from both contexts + hl_entities, hl_relationships, hl_sources = extract_sections(high_level_context) + ll_entities, ll_relationships, ll_sources = extract_sections(low_level_context) + + # Combine and deduplicate the entities + combined_entities_set = set(filter(None, hl_entities.strip().split('\n') + ll_entities.strip().split('\n'))) + combined_entities = '\n'.join(combined_entities_set) + + # Combine and deduplicate the relationships + combined_relationships_set = set(filter(None, hl_relationships.strip().split('\n') + ll_relationships.strip().split('\n'))) + combined_relationships = '\n'.join(combined_relationships_set) + + # Combine and deduplicate the sources + combined_sources_set = set(filter(None, hl_sources.strip().split('\n') + ll_sources.strip().split('\n'))) + combined_sources = '\n'.join(combined_sources_set) + + # Format the combined context + return f""" +-----Entities----- +```csv +{combined_entities} +-----Relationships----- +{combined_relationships} +-----Sources----- +{combined_sources} +""" + +async def naive_query( + query, + chunks_vdb: BaseVectorStorage, + text_chunks_db: BaseKVStorage[TextChunkSchema], + query_param: QueryParam, + global_config: dict, +): + use_model_func = global_config["llm_model_func"] + results = await chunks_vdb.query(query, top_k=query_param.top_k) + if not len(results): + return PROMPTS["fail_response"] + chunks_ids = [r["id"] for r in results] + chunks = await text_chunks_db.get_by_ids(chunks_ids) + + maybe_trun_chunks = truncate_list_by_token_size( + chunks, + key=lambda x: x["content"], + max_token_size=query_param.max_token_for_text_unit, + ) + logger.info(f"Truncate {len(chunks)} to {len(maybe_trun_chunks)} chunks") + section = "--New Chunk--\n".join([c["content"] for c in maybe_trun_chunks]) + if query_param.only_need_context: + return section + sys_prompt_temp = PROMPTS["naive_rag_response"] + sys_prompt = sys_prompt_temp.format( + content_data=section, response_type=query_param.response_type + ) + response = await use_model_func( + query, + system_prompt=sys_prompt, + ) + return response + diff --git a/lightrag/prompt.py b/lightrag/prompt.py new file mode 100644 index 00000000..5d28e49c --- /dev/null +++ b/lightrag/prompt.py @@ -0,0 +1,256 @@ +GRAPH_FIELD_SEP = "" + +PROMPTS = {} + +PROMPTS["DEFAULT_TUPLE_DELIMITER"] = "<|>" +PROMPTS["DEFAULT_RECORD_DELIMITER"] = "##" +PROMPTS["DEFAULT_COMPLETION_DELIMITER"] = "<|COMPLETE|>" +PROMPTS["process_tickers"] = ["⠋", "⠙", "⠹", "⠸", "⠼", "⠴", "⠦", "⠧", "⠇", "⠏"] + +PROMPTS["DEFAULT_ENTITY_TYPES"] = ["organization", "person", "geo", "event"] + +PROMPTS[ + "entity_extraction" +] = """-Goal- +Given a text document that is potentially relevant to this activity and a list of entity types, identify all entities of those types from the text and all relationships among the identified entities. + +-Steps- +1. Identify all entities. For each identified entity, extract the following information: +- entity_name: Name of the entity, capitalized +- entity_type: One of the following types: [{entity_types}] +- entity_description: Comprehensive description of the entity's attributes and activities +Format each entity as ("entity"{tuple_delimiter}{tuple_delimiter}{tuple_delimiter} + +2. From the entities identified in step 1, identify all pairs of (source_entity, target_entity) that are *clearly related* to each other. +For each pair of related entities, extract the following information: +- source_entity: name of the source entity, as identified in step 1 +- target_entity: name of the target entity, as identified in step 1 +- relationship_description: explanation as to why you think the source entity and the target entity are related to each other +- relationship_strength: a numeric score indicating strength of the relationship between the source entity and target entity +- relationship_keywords: one or more high-level key words that summarize the overarching nature of the relationship, focusing on concepts or themes rather than specific details +Format each relationship as ("relationship"{tuple_delimiter}{tuple_delimiter}{tuple_delimiter}{tuple_delimiter}{tuple_delimiter}) + +3. Identify high-level key words that summarize the main concepts, themes, or topics of the entire text. These should capture the overarching ideas present in the document. +Format the content-level key words as ("content_keywords"{tuple_delimiter}) + +4. Return output in English as a single list of all the entities and relationships identified in steps 1 and 2. Use **{record_delimiter}** as the list delimiter. + +5. When finished, output {completion_delimiter} + +###################### +-Examples- +###################### +Example 1: + +Entity_types: [person, technology, mission, organization, location] +Text: +while Alex clenched his jaw, the buzz of frustration dull against the backdrop of Taylor's authoritarian certainty. It was this competitive undercurrent that kept him alert, the sense that his and Jordan's shared commitment to discovery was an unspoken rebellion against Cruz's narrowing vision of control and order. + +Then Taylor did something unexpected. They paused beside Jordan and, for a moment, observed the device with something akin to reverence. “If this tech can be understood..." Taylor said, their voice quieter, "It could change the game for us. For all of us.” + +The underlying dismissal earlier seemed to falter, replaced by a glimpse of reluctant respect for the gravity of what lay in their hands. Jordan looked up, and for a fleeting heartbeat, their eyes locked with Taylor's, a wordless clash of wills softening into an uneasy truce. + +It was a small transformation, barely perceptible, but one that Alex noted with an inward nod. They had all been brought here by different paths +################ +Output: +("entity"{tuple_delimiter}"Alex"{tuple_delimiter}"person"{tuple_delimiter}"Alex is a character who experiences frustration and is observant of the dynamics among other characters."){record_delimiter} +("entity"{tuple_delimiter}"Taylor"{tuple_delimiter}"person"{tuple_delimiter}"Taylor is portrayed with authoritarian certainty and shows a moment of reverence towards a device, indicating a change in perspective."){record_delimiter} +("entity"{tuple_delimiter}"Jordan"{tuple_delimiter}"person"{tuple_delimiter}"Jordan shares a commitment to discovery and has a significant interaction with Taylor regarding a device."){record_delimiter} +("entity"{tuple_delimiter}"Cruz"{tuple_delimiter}"person"{tuple_delimiter}"Cruz is associated with a vision of control and order, influencing the dynamics among other characters."){record_delimiter} +("entity"{tuple_delimiter}"The Device"{tuple_delimiter}"technology"{tuple_delimiter}"The Device is central to the story, with potential game-changing implications, and is revered by Taylor."){record_delimiter} +("relationship"{tuple_delimiter}"Alex"{tuple_delimiter}"Taylor"{tuple_delimiter}"Alex is affected by Taylor's authoritarian certainty and observes changes in Taylor's attitude towards the device."{tuple_delimiter}"power dynamics, perspective shift"{tuple_delimiter}7){record_delimiter} +("relationship"{tuple_delimiter}"Alex"{tuple_delimiter}"Jordan"{tuple_delimiter}"Alex and Jordan share a commitment to discovery, which contrasts with Cruz's vision."{tuple_delimiter}"shared goals, rebellion"{tuple_delimiter}6){record_delimiter} +("relationship"{tuple_delimiter}"Taylor"{tuple_delimiter}"Jordan"{tuple_delimiter}"Taylor and Jordan interact directly regarding the device, leading to a moment of mutual respect and an uneasy truce."{tuple_delimiter}"conflict resolution, mutual respect"{tuple_delimiter}8){record_delimiter} +("relationship"{tuple_delimiter}"Jordan"{tuple_delimiter}"Cruz"{tuple_delimiter}"Jordan's commitment to discovery is in rebellion against Cruz's vision of control and order."{tuple_delimiter}"ideological conflict, rebellion"{tuple_delimiter}5){record_delimiter} +("relationship"{tuple_delimiter}"Taylor"{tuple_delimiter}"The Device"{tuple_delimiter}"Taylor shows reverence towards the device, indicating its importance and potential impact."{tuple_delimiter}"reverence, technological significance"{tuple_delimiter}9){record_delimiter} +("content_keywords"{tuple_delimiter}"power dynamics, ideological conflict, discovery, rebellion"){completion_delimiter} +############################# +Example 2: + +Entity_types: [person, technology, mission, organization, location] +Text: +They were no longer mere operatives; they had become guardians of a threshold, keepers of a message from a realm beyond stars and stripes. This elevation in their mission could not be shackled by regulations and established protocols—it demanded a new perspective, a new resolve. + +Tension threaded through the dialogue of beeps and static as communications with Washington buzzed in the background. The team stood, a portentous air enveloping them. It was clear that the decisions they made in the ensuing hours could redefine humanity's place in the cosmos or condemn them to ignorance and potential peril. + +Their connection to the stars solidified, the group moved to address the crystallizing warning, shifting from passive recipients to active participants. Mercer's latter instincts gained precedence— the team's mandate had evolved, no longer solely to observe and report but to interact and prepare. A metamorphosis had begun, and Operation: Dulce hummed with the newfound frequency of their daring, a tone set not by the earthly +############# +Output: +("entity"{tuple_delimiter}"Washington"{tuple_delimiter}"location"{tuple_delimiter}"Washington is a location where communications are being received, indicating its importance in the decision-making process."){record_delimiter} +("entity"{tuple_delimiter}"Operation: Dulce"{tuple_delimiter}"mission"{tuple_delimiter}"Operation: Dulce is described as a mission that has evolved to interact and prepare, indicating a significant shift in objectives and activities."){record_delimiter} +("entity"{tuple_delimiter}"The team"{tuple_delimiter}"organization"{tuple_delimiter}"The team is portrayed as a group of individuals who have transitioned from passive observers to active participants in a mission, showing a dynamic change in their role."){record_delimiter} +("relationship"{tuple_delimiter}"The team"{tuple_delimiter}"Washington"{tuple_delimiter}"The team receives communications from Washington, which influences their decision-making process."{tuple_delimiter}"decision-making, external influence"{tuple_delimiter}7){record_delimiter} +("relationship"{tuple_delimiter}"The team"{tuple_delimiter}"Operation: Dulce"{tuple_delimiter}"The team is directly involved in Operation: Dulce, executing its evolved objectives and activities."{tuple_delimiter}"mission evolution, active participation"{tuple_delimiter}9){completion_delimiter} +("content_keywords"{tuple_delimiter}"mission evolution, decision-making, active participation, cosmic significance"){completion_delimiter} +############################# +Example 3: + +Entity_types: [person, role, technology, organization, event, location, concept] +Text: +their voice slicing through the buzz of activity. "Control may be an illusion when facing an intelligence that literally writes its own rules," they stated stoically, casting a watchful eye over the flurry of data. + +"It's like it's learning to communicate," offered Sam Rivera from a nearby interface, their youthful energy boding a mix of awe and anxiety. "This gives talking to strangers' a whole new meaning." + +Alex surveyed his team—each face a study in concentration, determination, and not a small measure of trepidation. "This might well be our first contact," he acknowledged, "And we need to be ready for whatever answers back." + +Together, they stood on the edge of the unknown, forging humanity's response to a message from the heavens. The ensuing silence was palpable—a collective introspection about their role in this grand cosmic play, one that could rewrite human history. + +The encrypted dialogue continued to unfold, its intricate patterns showing an almost uncanny anticipation +############# +Output: +("entity"{tuple_delimiter}"Sam Rivera"{tuple_delimiter}"person"{tuple_delimiter}"Sam Rivera is a member of a team working on communicating with an unknown intelligence, showing a mix of awe and anxiety."){record_delimiter} +("entity"{tuple_delimiter}"Alex"{tuple_delimiter}"person"{tuple_delimiter}"Alex is the leader of a team attempting first contact with an unknown intelligence, acknowledging the significance of their task."){record_delimiter} +("entity"{tuple_delimiter}"Control"{tuple_delimiter}"concept"{tuple_delimiter}"Control refers to the ability to manage or govern, which is challenged by an intelligence that writes its own rules."){record_delimiter} +("entity"{tuple_delimiter}"Intelligence"{tuple_delimiter}"concept"{tuple_delimiter}"Intelligence here refers to an unknown entity capable of writing its own rules and learning to communicate."){record_delimiter} +("entity"{tuple_delimiter}"First Contact"{tuple_delimiter}"event"{tuple_delimiter}"First Contact is the potential initial communication between humanity and an unknown intelligence."){record_delimiter} +("entity"{tuple_delimiter}"Humanity's Response"{tuple_delimiter}"event"{tuple_delimiter}"Humanity's Response is the collective action taken by Alex's team in response to a message from an unknown intelligence."){record_delimiter} +("relationship"{tuple_delimiter}"Sam Rivera"{tuple_delimiter}"Intelligence"{tuple_delimiter}"Sam Rivera is directly involved in the process of learning to communicate with the unknown intelligence."{tuple_delimiter}"communication, learning process"{tuple_delimiter}9){record_delimiter} +("relationship"{tuple_delimiter}"Alex"{tuple_delimiter}"First Contact"{tuple_delimiter}"Alex leads the team that might be making the First Contact with the unknown intelligence."{tuple_delimiter}"leadership, exploration"{tuple_delimiter}10){record_delimiter} +("relationship"{tuple_delimiter}"Alex"{tuple_delimiter}"Humanity's Response"{tuple_delimiter}"Alex and his team are the key figures in Humanity's Response to the unknown intelligence."{tuple_delimiter}"collective action, cosmic significance"{tuple_delimiter}8){record_delimiter} +("relationship"{tuple_delimiter}"Control"{tuple_delimiter}"Intelligence"{tuple_delimiter}"The concept of Control is challenged by the Intelligence that writes its own rules."{tuple_delimiter}"power dynamics, autonomy"{tuple_delimiter}7){record_delimiter} +("content_keywords"{tuple_delimiter}"first contact, control, communication, cosmic significance"){completion_delimiter} +############################# +-Real Data- +###################### +Entity_types: {entity_types} +Text: {input_text} +###################### +Output: +""" + +PROMPTS[ + "summarize_entity_descriptions" +] = """You are a helpful assistant responsible for generating a comprehensive summary of the data provided below. +Given one or two entities, and a list of descriptions, all related to the same entity or group of entities. +Please concatenate all of these into a single, comprehensive description. Make sure to include information collected from all the descriptions. +If the provided descriptions are contradictory, please resolve the contradictions and provide a single, coherent summary. +Make sure it is written in third person, and include the entity names so we the have full context. + +####### +-Data- +Entities: {entity_name} +Description List: {description_list} +####### +Output: +""" + +PROMPTS[ + "entiti_continue_extraction" +] = """MANY entities were missed in the last extraction. Add them below using the same format: +""" + +PROMPTS[ + "entiti_if_loop_extraction" +] = """It appears some entities may have still been missed. Answer YES | NO if there are still entities that need to be added. +""" + +PROMPTS["fail_response"] = "Sorry, I'm not able to provide an answer to that question." + +PROMPTS[ + "rag_response" +] = """---Role--- + +You are a helpful assistant responding to questions about data in the tables provided. + + +---Goal--- + +Generate a response of the target length and format that responds to the user's question, summarizing all information in the input data tables appropriate for the response length and format, and incorporating any relevant general knowledge. +If you don't know the answer, just say so. Do not make anything up. +Do not include information where the supporting evidence for it is not provided. + +---Target response length and format--- + +{response_type} + + +---Data tables--- + +{context_data} + + +---Goal--- + +Generate a response of the target length and format that responds to the user's question, summarizing all information in the input data tables appropriate for the response length and format, and incorporating any relevant general knowledge. + +If you don't know the answer, just say so. Do not make anything up. + +Do not include information where the supporting evidence for it is not provided. + + +---Target response length and format--- + +{response_type} + +Add sections and commentary to the response as appropriate for the length and format. Style the response in markdown. +""" + +PROMPTS["keywords_extraction"] = """---Role--- + +You are a helpful assistant tasked with identifying both high-level and low-level keywords in the user's query. + +---Goal--- + +Given the query, list both high-level and low-level keywords. High-level keywords focus on overarching concepts or themes, while low-level keywords focus on specific entities, details, or concrete terms. + +---Instructions--- + +- Output the keywords in JSON format. +- The JSON should have two keys: + - "high_level_keywords" for overarching concepts or themes. + - "low_level_keywords" for specific entities or details. + +###################### +-Examples- +###################### +Example 1: + +Query: "How does international trade influence global economic stability?" +################ +Output: +{{ + "high_level_keywords": ["International trade", "Global economic stability", "Economic impact"], + "low_level_keywords": ["Trade agreements", "Tariffs", "Currency exchange", "Imports", "Exports"] +}} +############################# +Example 2: + +Query: "What are the environmental consequences of deforestation on biodiversity?" +################ +Output: +{{ + "high_level_keywords": ["Environmental consequences", "Deforestation", "Biodiversity loss"], + "low_level_keywords": ["Species extinction", "Habitat destruction", "Carbon emissions", "Rainforest", "Ecosystem"] +}} +############################# +Example 3: + +Query: "What is the role of education in reducing poverty?" +################ +Output: +{{ + "high_level_keywords": ["Education", "Poverty reduction", "Socioeconomic development"], + "low_level_keywords": ["School access", "Literacy rates", "Job training", "Income inequality"] +}} +############################# +-Real Data- +###################### +Query: {query} +###################### +Output: + +""" + +PROMPTS[ + "naive_rag_response" +] = """You're a helpful assistant +Below are the knowledge you know: +{content_data} +--- +If you don't know the answer or if the provided knowledge do not contain sufficient information to provide an answer, just say so. Do not make anything up. +Generate a response of the target length and format that responds to the user's question, summarizing all information in the input data tables appropriate for the response length and format, and incorporating any relevant general knowledge. +If you don't know the answer, just say so. Do not make anything up. +Do not include information where the supporting evidence for it is not provided. +---Target response length and format--- +{response_type} +""" diff --git a/lightrag/storage.py b/lightrag/storage.py new file mode 100644 index 00000000..2f2bb7d8 --- /dev/null +++ b/lightrag/storage.py @@ -0,0 +1,246 @@ +import asyncio +import html +import json +import os +from collections import defaultdict +from dataclasses import dataclass, field +from typing import Any, Union, cast +import pickle +import hnswlib +import networkx as nx +import numpy as np +from nano_vectordb import NanoVectorDB +import xxhash + +from .utils import load_json, logger, write_json +from .base import ( + BaseGraphStorage, + BaseKVStorage, + BaseVectorStorage, +) + +@dataclass +class JsonKVStorage(BaseKVStorage): + def __post_init__(self): + working_dir = self.global_config["working_dir"] + self._file_name = os.path.join(working_dir, f"kv_store_{self.namespace}.json") + self._data = load_json(self._file_name) or {} + logger.info(f"Load KV {self.namespace} with {len(self._data)} data") + + async def all_keys(self) -> list[str]: + return list(self._data.keys()) + + async def index_done_callback(self): + write_json(self._data, self._file_name) + + async def get_by_id(self, id): + return self._data.get(id, None) + + async def get_by_ids(self, ids, fields=None): + if fields is None: + return [self._data.get(id, None) for id in ids] + return [ + ( + {k: v for k, v in self._data[id].items() if k in fields} + if self._data.get(id, None) + else None + ) + for id in ids + ] + + async def filter_keys(self, data: list[str]) -> set[str]: + return set([s for s in data if s not in self._data]) + + async def upsert(self, data: dict[str, dict]): + left_data = {k: v for k, v in data.items() if k not in self._data} + self._data.update(left_data) + return left_data + + async def drop(self): + self._data = {} + +@dataclass +class NanoVectorDBStorage(BaseVectorStorage): + cosine_better_than_threshold: float = 0.2 + + def __post_init__(self): + + self._client_file_name = os.path.join( + self.global_config["working_dir"], f"vdb_{self.namespace}.json" + ) + self._max_batch_size = self.global_config["embedding_batch_num"] + self._client = NanoVectorDB( + self.embedding_func.embedding_dim, storage_file=self._client_file_name + ) + self.cosine_better_than_threshold = self.global_config.get( + "cosine_better_than_threshold", self.cosine_better_than_threshold + ) + + async def upsert(self, data: dict[str, dict]): + logger.info(f"Inserting {len(data)} vectors to {self.namespace}") + if not len(data): + logger.warning("You insert an empty data to vector DB") + return [] + list_data = [ + { + "__id__": k, + **{k1: v1 for k1, v1 in v.items() if k1 in self.meta_fields}, + } + for k, v in data.items() + ] + contents = [v["content"] for v in data.values()] + batches = [ + contents[i : i + self._max_batch_size] + for i in range(0, len(contents), self._max_batch_size) + ] + embeddings_list = await asyncio.gather( + *[self.embedding_func(batch) for batch in batches] + ) + embeddings = np.concatenate(embeddings_list) + for i, d in enumerate(list_data): + d["__vector__"] = embeddings[i] + results = self._client.upsert(datas=list_data) + return results + + async def query(self, query: str, top_k=5): + embedding = await self.embedding_func([query]) + embedding = embedding[0] + results = self._client.query( + query=embedding, + top_k=top_k, + better_than_threshold=self.cosine_better_than_threshold, + ) + results = [ + {**dp, "id": dp["__id__"], "distance": dp["__metrics__"]} for dp in results + ] + return results + + async def index_done_callback(self): + self._client.save() + +@dataclass +class NetworkXStorage(BaseGraphStorage): + @staticmethod + def load_nx_graph(file_name) -> nx.Graph: + if os.path.exists(file_name): + return nx.read_graphml(file_name) + return None + + @staticmethod + def write_nx_graph(graph: nx.Graph, file_name): + logger.info( + f"Writing graph with {graph.number_of_nodes()} nodes, {graph.number_of_edges()} edges" + ) + nx.write_graphml(graph, file_name) + + @staticmethod + def stable_largest_connected_component(graph: nx.Graph) -> nx.Graph: + """Refer to https://github.com/microsoft/graphrag/index/graph/utils/stable_lcc.py + Return the largest connected component of the graph, with nodes and edges sorted in a stable way. + """ + from graspologic.utils import largest_connected_component + + graph = graph.copy() + graph = cast(nx.Graph, largest_connected_component(graph)) + node_mapping = {node: html.unescape(node.upper().strip()) for node in graph.nodes()} # type: ignore + graph = nx.relabel_nodes(graph, node_mapping) + return NetworkXStorage._stabilize_graph(graph) + + @staticmethod + def _stabilize_graph(graph: nx.Graph) -> nx.Graph: + """Refer to https://github.com/microsoft/graphrag/index/graph/utils/stable_lcc.py + Ensure an undirected graph with the same relationships will always be read the same way. + """ + fixed_graph = nx.DiGraph() if graph.is_directed() else nx.Graph() + + sorted_nodes = graph.nodes(data=True) + sorted_nodes = sorted(sorted_nodes, key=lambda x: x[0]) + + fixed_graph.add_nodes_from(sorted_nodes) + edges = list(graph.edges(data=True)) + + if not graph.is_directed(): + + def _sort_source_target(edge): + source, target, edge_data = edge + if source > target: + temp = source + source = target + target = temp + return source, target, edge_data + + edges = [_sort_source_target(edge) for edge in edges] + + def _get_edge_key(source: Any, target: Any) -> str: + return f"{source} -> {target}" + + edges = sorted(edges, key=lambda x: _get_edge_key(x[0], x[1])) + + fixed_graph.add_edges_from(edges) + return fixed_graph + + def __post_init__(self): + self._graphml_xml_file = os.path.join( + self.global_config["working_dir"], f"graph_{self.namespace}.graphml" + ) + preloaded_graph = NetworkXStorage.load_nx_graph(self._graphml_xml_file) + if preloaded_graph is not None: + logger.info( + f"Loaded graph from {self._graphml_xml_file} with {preloaded_graph.number_of_nodes()} nodes, {preloaded_graph.number_of_edges()} edges" + ) + self._graph = preloaded_graph or nx.Graph() + self._node_embed_algorithms = { + "node2vec": self._node2vec_embed, + } + + async def index_done_callback(self): + NetworkXStorage.write_nx_graph(self._graph, self._graphml_xml_file) + + async def has_node(self, node_id: str) -> bool: + return self._graph.has_node(node_id) + + async def has_edge(self, source_node_id: str, target_node_id: str) -> bool: + return self._graph.has_edge(source_node_id, target_node_id) + + async def get_node(self, node_id: str) -> Union[dict, None]: + return self._graph.nodes.get(node_id) + + async def node_degree(self, node_id: str) -> int: + return self._graph.degree(node_id) + + async def edge_degree(self, src_id: str, tgt_id: str) -> int: + return self._graph.degree(src_id) + self._graph.degree(tgt_id) + + async def get_edge( + self, source_node_id: str, target_node_id: str + ) -> Union[dict, None]: + return self._graph.edges.get((source_node_id, target_node_id)) + + async def get_node_edges(self, source_node_id: str): + if self._graph.has_node(source_node_id): + return list(self._graph.edges(source_node_id)) + return None + + async def upsert_node(self, node_id: str, node_data: dict[str, str]): + self._graph.add_node(node_id, **node_data) + + async def upsert_edge( + self, source_node_id: str, target_node_id: str, edge_data: dict[str, str] + ): + self._graph.add_edge(source_node_id, target_node_id, **edge_data) + + async def embed_nodes(self, algorithm: str) -> tuple[np.ndarray, list[str]]: + if algorithm not in self._node_embed_algorithms: + raise ValueError(f"Node embedding algorithm {algorithm} not supported") + return await self._node_embed_algorithms[algorithm]() + + async def _node2vec_embed(self): + from graspologic import embed + + embeddings, nodes = embed.node2vec_embed( + self._graph, + **self.global_config["node2vec_params"], + ) + + nodes_ids = [self._graph.nodes[node_id]["id"] for node_id in nodes] + return embeddings, nodes_ids diff --git a/lightrag/utils.py b/lightrag/utils.py new file mode 100644 index 00000000..c75b4270 --- /dev/null +++ b/lightrag/utils.py @@ -0,0 +1,165 @@ +import asyncio +import html +import json +import logging +import os +import re +from dataclasses import dataclass +from functools import wraps +from hashlib import md5 +from typing import Any, Union + +import numpy as np +import tiktoken + +ENCODER = None + +logger = logging.getLogger("lightrag") + +def set_logger(log_file: str): + logger.setLevel(logging.DEBUG) + + file_handler = logging.FileHandler(log_file) + file_handler.setLevel(logging.DEBUG) + + formatter = logging.Formatter('%(asctime)s - %(name)s - %(levelname)s - %(message)s') + file_handler.setFormatter(formatter) + + if not logger.handlers: + logger.addHandler(file_handler) + +@dataclass +class EmbeddingFunc: + embedding_dim: int + max_token_size: int + func: callable + + async def __call__(self, *args, **kwargs) -> np.ndarray: + return await self.func(*args, **kwargs) + +def locate_json_string_body_from_string(content: str) -> Union[str, None]: + """Locate the JSON string body from a string""" + maybe_json_str = re.search(r"{.*}", content, re.DOTALL) + if maybe_json_str is not None: + return maybe_json_str.group(0) + else: + return None + +def convert_response_to_json(response: str) -> dict: + json_str = locate_json_string_body_from_string(response) + assert json_str is not None, f"Unable to parse JSON from response: {response}" + try: + data = json.loads(json_str) + return data + except json.JSONDecodeError as e: + logger.error(f"Failed to parse JSON: {json_str}") + raise e from None + +def compute_args_hash(*args): + return md5(str(args).encode()).hexdigest() + +def compute_mdhash_id(content, prefix: str = ""): + return prefix + md5(content.encode()).hexdigest() + +def limit_async_func_call(max_size: int, waitting_time: float = 0.0001): + """Add restriction of maximum async calling times for a async func""" + + def final_decro(func): + """Not using async.Semaphore to aovid use nest-asyncio""" + __current_size = 0 + + @wraps(func) + async def wait_func(*args, **kwargs): + nonlocal __current_size + while __current_size >= max_size: + await asyncio.sleep(waitting_time) + __current_size += 1 + result = await func(*args, **kwargs) + __current_size -= 1 + return result + + return wait_func + + return final_decro + +def wrap_embedding_func_with_attrs(**kwargs): + """Wrap a function with attributes""" + + def final_decro(func) -> EmbeddingFunc: + new_func = EmbeddingFunc(**kwargs, func=func) + return new_func + + return final_decro + +def load_json(file_name): + if not os.path.exists(file_name): + return None + with open(file_name) as f: + return json.load(f) + +def write_json(json_obj, file_name): + with open(file_name, "w") as f: + json.dump(json_obj, f, indent=2, ensure_ascii=False) + +def encode_string_by_tiktoken(content: str, model_name: str = "gpt-4o"): + global ENCODER + if ENCODER is None: + ENCODER = tiktoken.encoding_for_model(model_name) + tokens = ENCODER.encode(content) + return tokens + + +def decode_tokens_by_tiktoken(tokens: list[int], model_name: str = "gpt-4o"): + global ENCODER + if ENCODER is None: + ENCODER = tiktoken.encoding_for_model(model_name) + content = ENCODER.decode(tokens) + return content + +def pack_user_ass_to_openai_messages(*args: str): + roles = ["user", "assistant"] + return [ + {"role": roles[i % 2], "content": content} for i, content in enumerate(args) + ] + +def split_string_by_multi_markers(content: str, markers: list[str]) -> list[str]: + """Split a string by multiple markers""" + if not markers: + return [content] + results = re.split("|".join(re.escape(marker) for marker in markers), content) + return [r.strip() for r in results if r.strip()] + +# Refer the utils functions of the official GraphRAG implementation: +# https://github.com/microsoft/graphrag +def clean_str(input: Any) -> str: + """Clean an input string by removing HTML escapes, control characters, and other unwanted characters.""" + # If we get non-string input, just give it back + if not isinstance(input, str): + return input + + result = html.unescape(input.strip()) + # https://stackoverflow.com/questions/4324790/removing-control-characters-from-a-string-in-python + return re.sub(r"[\x00-\x1f\x7f-\x9f]", "", result) + +def is_float_regex(value): + return bool(re.match(r"^[-+]?[0-9]*\.?[0-9]+$", value)) + +def truncate_list_by_token_size(list_data: list, key: callable, max_token_size: int): + """Truncate a list of data by token size""" + if max_token_size <= 0: + return [] + tokens = 0 + for i, data in enumerate(list_data): + tokens += len(encode_string_by_tiktoken(key(data))) + if tokens > max_token_size: + return list_data[:i] + return list_data + +def list_of_list_to_csv(data: list[list]): + return "\n".join( + [",\t".join([str(data_dd) for data_dd in data_d]) for data_d in data] + ) + +def save_data_to_file(data, file_name): + with open(file_name, 'w', encoding='utf-8') as f: + json.dump(data, f, ensure_ascii=False, indent=4) \ No newline at end of file From 5808e0c8e7c6f1ae8968e89e77a1d28ef34bd0f2 Mon Sep 17 00:00:00 2001 From: LarFii <834462287@qq.com> Date: Thu, 10 Oct 2024 15:17:03 +0800 Subject: [PATCH 011/258] update --- README.md | 2 +- 1 file changed, 1 insertion(+), 1 deletion(-) diff --git a/README.md b/README.md index 42de1c1c..60b655ab 100644 --- a/README.md +++ b/README.md @@ -186,7 +186,7 @@ Output your evaluation in the following JSON format: ``` ## Citation -``` +```python @article{guo2024lightrag, title={LightRAG: Simple and Fast Retrieval-Augmented Generation}, author={Zirui Guo and Lianghao Xia and Yanhua Yu and Tu Ao and Chao Huang}, From cb0ba0b447a54f1ae436b32861c88cacd4026548 Mon Sep 17 00:00:00 2001 From: LarFii <834462287@qq.com> Date: Fri, 11 Oct 2024 11:22:17 +0800 Subject: [PATCH 012/258] update utils.py --- lightrag/utils.py | 4 ++-- 1 file changed, 2 insertions(+), 2 deletions(-) diff --git a/lightrag/utils.py b/lightrag/utils.py index c75b4270..9496cf34 100644 --- a/lightrag/utils.py +++ b/lightrag/utils.py @@ -94,11 +94,11 @@ def final_decro(func) -> EmbeddingFunc: def load_json(file_name): if not os.path.exists(file_name): return None - with open(file_name) as f: + with open(file_name, encoding="utf-8") as f: return json.load(f) def write_json(json_obj, file_name): - with open(file_name, "w") as f: + with open(file_name, "w", encoding="utf-8") as f: json.dump(json_obj, f, indent=2, ensure_ascii=False) def encode_string_by_tiktoken(content: str, model_name: str = "gpt-4o"): From b6ec08409740fd2fdb8785e7237b5e7a6b693a94 Mon Sep 17 00:00:00 2001 From: LarFii <834462287@qq.com> Date: Fri, 11 Oct 2024 11:24:42 +0800 Subject: [PATCH 013/258] update utils.py --- lightrag/utils.py | 4 ++-- 1 file changed, 2 insertions(+), 2 deletions(-) diff --git a/lightrag/utils.py b/lightrag/utils.py index c75b4270..9496cf34 100644 --- a/lightrag/utils.py +++ b/lightrag/utils.py @@ -94,11 +94,11 @@ def final_decro(func) -> EmbeddingFunc: def load_json(file_name): if not os.path.exists(file_name): return None - with open(file_name) as f: + with open(file_name, encoding="utf-8") as f: return json.load(f) def write_json(json_obj, file_name): - with open(file_name, "w") as f: + with open(file_name, "w", encoding="utf-8") as f: json.dump(json_obj, f, indent=2, ensure_ascii=False) def encode_string_by_tiktoken(content: str, model_name: str = "gpt-4o"): From c9c0f2e8e32dca67a36aff855c199a89351c6846 Mon Sep 17 00:00:00 2001 From: LarFii <834462287@qq.com> Date: Fri, 11 Oct 2024 11:39:31 +0800 Subject: [PATCH 014/258] update __init__.py --- lightrag/__init__.py | 4 ++-- 1 file changed, 2 insertions(+), 2 deletions(-) diff --git a/lightrag/__init__.py b/lightrag/__init__.py index dc497cd4..0b279096 100644 --- a/lightrag/__init__.py +++ b/lightrag/__init__.py @@ -1,5 +1,5 @@ from .lightrag import LightRAG, QueryParam -__version__ = "0.0.2" +__version__ = "0.0.3" __author__ = "Zirui Guo" -__url__ = "https://github.com/HKUDS/GraphEdit" +__url__ = "https://github.com/HKUDS/LightRAG" From 019a8bd827f40c22a43aecef19e966b8dccd9fb4 Mon Sep 17 00:00:00 2001 From: LarFii <834462287@qq.com> Date: Fri, 11 Oct 2024 11:43:54 +0800 Subject: [PATCH 015/258] update README.md --- README.md | 2 ++ 1 file changed, 2 insertions(+) diff --git a/README.md b/README.md index 60b655ab..9c588804 100644 --- a/README.md +++ b/README.md @@ -5,6 +5,8 @@ + + This repository hosts the code of LightRAG. The structure of this code is based on [nano-graphrag](https://github.com/gusye1234/nano-graphrag). ![请添加图片描述](https://i-blog.csdnimg.cn/direct/b2aaf634151b4706892693ffb43d9093.png) From 88993e9c1076a0da39340c89baf5c517add55c96 Mon Sep 17 00:00:00 2001 From: LarFii <834462287@qq.com> Date: Fri, 11 Oct 2024 11:46:57 +0800 Subject: [PATCH 016/258] update README.md --- README.md | 5 ++++- 1 file changed, 4 insertions(+), 1 deletion(-) diff --git a/README.md b/README.md index 9c588804..ee5535e6 100644 --- a/README.md +++ b/README.md @@ -1,6 +1,7 @@ # LightRAG: Simple and Fast Retrieval-Augmented Generation -![请添加图片描述](https://i-blog.csdnimg.cn/direct/567139f1a36e4564abc63ce5c12b6271.jpeg) +
+![请添加图片描述](https://i-blog.csdnimg.cn/direct/567139f1a36e4564abc63ce5c12b6271.jpeg) @@ -10,6 +11,8 @@ This repository hosts the code of LightRAG. The structure of this code is based on [nano-graphrag](https://github.com/gusye1234/nano-graphrag). ![请添加图片描述](https://i-blog.csdnimg.cn/direct/b2aaf634151b4706892693ffb43d9093.png) +
+ ## Install * Install from source From 06f5d996fdb9c26059231fca868f32aa7040a415 Mon Sep 17 00:00:00 2001 From: zrguo <49157727+LarFii@users.noreply.github.com> Date: Fri, 11 Oct 2024 11:47:53 +0800 Subject: [PATCH 017/258] Update README.md --- README.md | 4 ++-- 1 file changed, 2 insertions(+), 2 deletions(-) diff --git a/README.md b/README.md index ee5535e6..1fada261 100644 --- a/README.md +++ b/README.md @@ -1,9 +1,9 @@ # LightRAG: Simple and Fast Retrieval-Augmented Generation -
-![请添加图片描述](https://i-blog.csdnimg.cn/direct/567139f1a36e4564abc63ce5c12b6271.jpeg) +![请添加图片描述](https://i-blog.csdnimg.cn/direct/567139f1a36e4564abc63ce5c12b6271.jpeg) +
From 52d51f6293cab2e5bbc0444d7e9343301fc91ff5 Mon Sep 17 00:00:00 2001 From: zrguo <49157727+LarFii@users.noreply.github.com> Date: Fri, 11 Oct 2024 11:59:51 +0800 Subject: [PATCH 018/258] Update README.md --- README.md | 17 ++++++++++++----- 1 file changed, 12 insertions(+), 5 deletions(-) diff --git a/README.md b/README.md index 1fada261..693f60cf 100644 --- a/README.md +++ b/README.md @@ -4,11 +4,18 @@ ![请添加图片描述](https://i-blog.csdnimg.cn/direct/567139f1a36e4564abc63ce5c12b6271.jpeg)
- - - - - +

+ + + + +

+

+ + + +

+ This repository hosts the code of LightRAG. The structure of this code is based on [nano-graphrag](https://github.com/gusye1234/nano-graphrag). ![请添加图片描述](https://i-blog.csdnimg.cn/direct/b2aaf634151b4706892693ffb43d9093.png)
From c51b2b38b675d4502e60e1714c6e50f3a8b014fb Mon Sep 17 00:00:00 2001 From: LarFii <834462287@qq.com> Date: Fri, 11 Oct 2024 15:16:43 +0800 Subject: [PATCH 019/258] update reproduce --- README.md | 114 +++++++++++++++++++++++++++++++++++++++++++- reproduce/Step_0.py | 63 ++++++++++++++++++++++++ reproduce/Step_1.py | 32 +++++++++++++ reproduce/Step_2.py | 76 +++++++++++++++++++++++++++++ reproduce/Step_3.py | 62 ++++++++++++++++++++++++ 5 files changed, 346 insertions(+), 1 deletion(-) create mode 100644 reproduce/Step_0.py create mode 100644 reproduce/Step_1.py create mode 100644 reproduce/Step_2.py create mode 100644 reproduce/Step_3.py diff --git a/README.md b/README.md index 693f60cf..f70b9d58 100644 --- a/README.md +++ b/README.md @@ -149,7 +149,6 @@ Output your evaluation in the following JSON format: }} ``` ### Overall Performance Table -### Overall Performance Table | | **Agriculture** | | **CS** | | **Legal** | | **Mix** | | |----------------------|-------------------------|-----------------------|-----------------------|-----------------------|-----------------------|-----------------------|-----------------------|-----------------------| | | NaiveRAG | **LightRAG** | NaiveRAG | **LightRAG** | NaiveRAG | **LightRAG** | NaiveRAG | **LightRAG** | @@ -173,6 +172,114 @@ Output your evaluation in the following JSON format: | **Empowerment** | 36.69% | **63.31%** | 45.09% | **54.91%** | 42.81% | **57.19%** | **52.94%** | 47.06% | | **Overall** | 43.62% | **56.38%** | 45.98% | **54.02%** | 45.70% | **54.30%** | **51.86%** | 48.14% | +## Reproduce +All the code can be found in the `./reproduce` directory. +### Step-0 Extract Unique Contexts +First, we need to extract unique contexts in the datasets. +```python +def extract_unique_contexts(input_directory, output_directory): + + os.makedirs(output_directory, exist_ok=True) + + jsonl_files = glob.glob(os.path.join(input_directory, '*.jsonl')) + print(f"Found {len(jsonl_files)} JSONL files.") + + for file_path in jsonl_files: + filename = os.path.basename(file_path) + name, ext = os.path.splitext(filename) + output_filename = f"{name}_unique_contexts.json" + output_path = os.path.join(output_directory, output_filename) + + unique_contexts_dict = {} + + print(f"Processing file: {filename}") + + try: + with open(file_path, 'r', encoding='utf-8') as infile: + for line_number, line in enumerate(infile, start=1): + line = line.strip() + if not line: + continue + try: + json_obj = json.loads(line) + context = json_obj.get('context') + if context and context not in unique_contexts_dict: + unique_contexts_dict[context] = None + except json.JSONDecodeError as e: + print(f"JSON decoding error in file {filename} at line {line_number}: {e}") + except FileNotFoundError: + print(f"File not found: {filename}") + continue + except Exception as e: + print(f"An error occurred while processing file {filename}: {e}") + continue + + unique_contexts_list = list(unique_contexts_dict.keys()) + print(f"There are {len(unique_contexts_list)} unique `context` entries in the file {filename}.") + + try: + with open(output_path, 'w', encoding='utf-8') as outfile: + json.dump(unique_contexts_list, outfile, ensure_ascii=False, indent=4) + print(f"Unique `context` entries have been saved to: {output_filename}") + except Exception as e: + print(f"An error occurred while saving to the file {output_filename}: {e}") + + print("All files have been processed.") + +``` +### Step-1 Insert Contexts +For the extracted contexts, we insert them into the LightRAG system. + +```python +def insert_text(rag, file_path): + with open(file_path, mode='r') as f: + unique_contexts = json.load(f) + + retries = 0 + max_retries = 3 + while retries < max_retries: + try: + rag.insert(unique_contexts) + break + except Exception as e: + retries += 1 + print(f"Insertion failed, retrying ({retries}/{max_retries}), error: {e}") + time.sleep(10) + if retries == max_retries: + print("Insertion failed after exceeding the maximum number of retries") +``` +### Step-2 Generate Queries + +We extract tokens from both the first half and the second half of each context in the dataset, then combine them to generate queries for dataset descriptions. +```python +tokenizer = GPT2Tokenizer.from_pretrained('gpt2') + +def get_summary(context, tot_tokens=2000): + tokens = tokenizer.tokenize(context) + half_tokens = tot_tokens // 2 + + start_tokens = tokens[1000:1000 + half_tokens] + end_tokens = tokens[-(1000 + half_tokens):1000] + + summary_tokens = start_tokens + end_tokens + summary = tokenizer.convert_tokens_to_string(summary_tokens) + + return summary +``` + +### Step-3 Query +For the queries generated in Step-2, we will extract them and query LightRAG. +```python +def extract_queries(file_path): + with open(file_path, 'r') as f: + data = f.read() + + data = data.replace('**', '') + + queries = re.findall(r'- Question \d+: (.+)', data) + + return queries +``` ## Code Structure ```python @@ -191,6 +298,11 @@ Output your evaluation in the following JSON format: │ ├── prompt.py │ ├── storage.py │ └── utils.jpeg +├── reproduce +│ ├── Step_0.py +│ ├── Step_1.py +│ ├── Step_2.py +│ └── Step_3.py ├── LICENSE ├── README.md ├── requirements.txt diff --git a/reproduce/Step_0.py b/reproduce/Step_0.py new file mode 100644 index 00000000..9053aa40 --- /dev/null +++ b/reproduce/Step_0.py @@ -0,0 +1,63 @@ +import os +import json +import glob +import argparse + +def extract_unique_contexts(input_directory, output_directory): + + os.makedirs(output_directory, exist_ok=True) + + jsonl_files = glob.glob(os.path.join(input_directory, '*.jsonl')) + print(f"Found {len(jsonl_files)} JSONL files.") + + for file_path in jsonl_files: + filename = os.path.basename(file_path) + name, ext = os.path.splitext(filename) + output_filename = f"{name}_unique_contexts.json" + output_path = os.path.join(output_directory, output_filename) + + unique_contexts_dict = {} + + print(f"Processing file: {filename}") + + try: + with open(file_path, 'r', encoding='utf-8') as infile: + for line_number, line in enumerate(infile, start=1): + line = line.strip() + if not line: + continue + try: + json_obj = json.loads(line) + context = json_obj.get('context') + if context and context not in unique_contexts_dict: + unique_contexts_dict[context] = None + except json.JSONDecodeError as e: + print(f"JSON decoding error in file {filename} at line {line_number}: {e}") + except FileNotFoundError: + print(f"File not found: {filename}") + continue + except Exception as e: + print(f"An error occurred while processing file {filename}: {e}") + continue + + unique_contexts_list = list(unique_contexts_dict.keys()) + print(f"There are {len(unique_contexts_list)} unique `context` entries in the file {filename}.") + + try: + with open(output_path, 'w', encoding='utf-8') as outfile: + json.dump(unique_contexts_list, outfile, ensure_ascii=False, indent=4) + print(f"Unique `context` entries have been saved to: {output_filename}") + except Exception as e: + print(f"An error occurred while saving to the file {output_filename}: {e}") + + print("All files have been processed.") + + +if __name__ == "__main__": + parser = argparse.ArgumentParser() + parser.add_argument('-i', '--input_dir', type=str, default='../datasets') + parser.add_argument('-o', '--output_dir', type=str, default='../datasets/unique_contexts') + + args = parser.parse_args() + + extract_unique_contexts(args.input_dir, args.output_dir) diff --git a/reproduce/Step_1.py b/reproduce/Step_1.py new file mode 100644 index 00000000..08e497cb --- /dev/null +++ b/reproduce/Step_1.py @@ -0,0 +1,32 @@ +import os +import json +import time + +from lightrag import LightRAG + +def insert_text(rag, file_path): + with open(file_path, mode='r') as f: + unique_contexts = json.load(f) + + retries = 0 + max_retries = 3 + while retries < max_retries: + try: + rag.insert(unique_contexts) + break + except Exception as e: + retries += 1 + print(f"Insertion failed, retrying ({retries}/{max_retries}), error: {e}") + time.sleep(10) + if retries == max_retries: + print("Insertion failed after exceeding the maximum number of retries") + +cls = "agriculture" +WORKING_DIR = "../{cls}" + +if not os.path.exists(WORKING_DIR): + os.mkdir(WORKING_DIR) + +rag = LightRAG(working_dir=WORKING_DIR) + +insert_text(rag, f"../datasets/unique_contexts/{cls}_unique_contexts.json") \ No newline at end of file diff --git a/reproduce/Step_2.py b/reproduce/Step_2.py new file mode 100644 index 00000000..b00c19b8 --- /dev/null +++ b/reproduce/Step_2.py @@ -0,0 +1,76 @@ +import os +import json +from openai import OpenAI +from transformers import GPT2Tokenizer + +def openai_complete_if_cache( + model="gpt-4o", prompt=None, system_prompt=None, history_messages=[], **kwargs +) -> str: + openai_client = OpenAI() + + messages = [] + if system_prompt: + messages.append({"role": "system", "content": system_prompt}) + messages.extend(history_messages) + messages.append({"role": "user", "content": prompt}) + + response = openai_client.chat.completions.create( + model=model, messages=messages, **kwargs + ) + return response.choices[0].message.content + +tokenizer = GPT2Tokenizer.from_pretrained('gpt2') + +def get_summary(context, tot_tokens=2000): + tokens = tokenizer.tokenize(context) + half_tokens = tot_tokens // 2 + + start_tokens = tokens[1000:1000 + half_tokens] + end_tokens = tokens[-(1000 + half_tokens):1000] + + summary_tokens = start_tokens + end_tokens + summary = tokenizer.convert_tokens_to_string(summary_tokens) + + return summary + + +clses = ['agriculture'] +for cls in clses: + with open(f'../datasets/unique_contexts/{cls}_unique_contexts.json', mode='r') as f: + unique_contexts = json.load(f) + + summaries = [get_summary(context) for context in unique_contexts] + + total_description = "\n\n".join(summaries) + + prompt = f""" + Given the following description of a dataset: + + {total_description} + + Please identify 5 potential users who would engage with this dataset. For each user, list 5 tasks they would perform with this dataset. Then, for each (user, task) combination, generate 5 questions that require a high-level understanding of the entire dataset. + + Output the results in the following structure: + - User 1: [user description] + - Task 1: [task description] + - Question 1: + - Question 2: + - Question 3: + - Question 4: + - Question 5: + - Task 2: [task description] + ... + - Task 5: [task description] + - User 2: [user description] + ... + - User 5: [user description] + ... + """ + + result = openai_complete_if_cache(model='gpt-4o', prompt=prompt) + + file_path = f"../datasets/questions/{cls}_questions.txt" + with open(file_path, "w") as file: + file.write(result) + + print(f"{cls}_questions written to {file_path}") \ No newline at end of file diff --git a/reproduce/Step_3.py b/reproduce/Step_3.py new file mode 100644 index 00000000..f7f7ee30 --- /dev/null +++ b/reproduce/Step_3.py @@ -0,0 +1,62 @@ +import re +import json +import asyncio +from lightrag import LightRAG, QueryParam +from tqdm import tqdm + +def extract_queries(file_path): + with open(file_path, 'r') as f: + data = f.read() + + data = data.replace('**', '') + + queries = re.findall(r'- Question \d+: (.+)', data) + + return queries + +async def process_query(query_text, rag_instance, query_param): + try: + result, context = await rag_instance.aquery(query_text, param=query_param) + return {"query": query_text, "result": result, "context": context}, None + except Exception as e: + return None, {"query": query_text, "error": str(e)} + +def always_get_an_event_loop() -> asyncio.AbstractEventLoop: + try: + loop = asyncio.get_event_loop() + except RuntimeError: + loop = asyncio.new_event_loop() + asyncio.set_event_loop(loop) + return loop + +def run_queries_and_save_to_json(queries, rag_instance, query_param, output_file, error_file): + loop = always_get_an_event_loop() + + with open(output_file, 'a', encoding='utf-8') as result_file, open(error_file, 'a', encoding='utf-8') as err_file: + result_file.write("[\n") + first_entry = True + + for query_text in tqdm(queries, desc="Processing queries", unit="query"): + result, error = loop.run_until_complete(process_query(query_text, rag_instance, query_param)) + + if result: + if not first_entry: + result_file.write(",\n") + json.dump(result, result_file, ensure_ascii=False, indent=4) + first_entry = False + elif error: + json.dump(error, err_file, ensure_ascii=False, indent=4) + err_file.write("\n") + + result_file.write("\n]") + +if __name__ == "__main__": + cls = "agriculture" + mode = "hybird" + WORKING_DIR = "../{cls}" + + rag = LightRAG(working_dir=WORKING_DIR) + query_param = QueryParam(mode=mode) + + queries = extract_queries(f"../datasets/questions/{cls}_questions.txt") + run_queries_and_save_to_json(queries, rag, query_param, "result.json", "errors.json") \ No newline at end of file From 9676a4724452aa35901b7b3e1cd90321ff51e6f2 Mon Sep 17 00:00:00 2001 From: LarFii <834462287@qq.com> Date: Fri, 11 Oct 2024 15:19:20 +0800 Subject: [PATCH 020/258] update README.md --- README.md | 2 +- 1 file changed, 1 insertion(+), 1 deletion(-) diff --git a/README.md b/README.md index f70b9d58..6d837c24 100644 --- a/README.md +++ b/README.md @@ -250,7 +250,7 @@ def insert_text(rag, file_path): ``` ### Step-2 Generate Queries -We extract tokens from both the first half and the second half of each context in the dataset, then combine them to generate queries for dataset descriptions. +We extract tokens from both the first half and the second half of each context in the dataset, then combine them as the dataset description to generate queries. ```python tokenizer = GPT2Tokenizer.from_pretrained('gpt2') From e02f7bbe2cfe508f2090ca9c97310f715f91d36d Mon Sep 17 00:00:00 2001 From: zrguo <49157727+LarFii@users.noreply.github.com> Date: Fri, 11 Oct 2024 15:44:00 +0800 Subject: [PATCH 021/258] Update README.md From 0a37d7aaaaf00d47375303ca2636691d878312bc Mon Sep 17 00:00:00 2001 From: zrguo <49157727+LarFii@users.noreply.github.com> Date: Fri, 11 Oct 2024 15:46:51 +0800 Subject: [PATCH 022/258] Update README.md --- README.md | 4 ++-- 1 file changed, 2 insertions(+), 2 deletions(-) diff --git a/README.md b/README.md index 6d837c24..ee70cffb 100644 --- a/README.md +++ b/README.md @@ -12,8 +12,8 @@

- - + +

This repository hosts the code of LightRAG. The structure of this code is based on [nano-graphrag](https://github.com/gusye1234/nano-graphrag). From 26f62b87ac52053648d11a82dac795d05ec19523 Mon Sep 17 00:00:00 2001 From: zrguo <49157727+LarFii@users.noreply.github.com> Date: Fri, 11 Oct 2024 15:49:16 +0800 Subject: [PATCH 023/258] Update README.md --- README.md | 6 +++--- 1 file changed, 3 insertions(+), 3 deletions(-) diff --git a/README.md b/README.md index ee70cffb..da5f7ebf 100644 --- a/README.md +++ b/README.md @@ -10,10 +10,10 @@

-

+

- - + +

This repository hosts the code of LightRAG. The structure of this code is based on [nano-graphrag](https://github.com/gusye1234/nano-graphrag). From 77342597e3995c2c5875c3af1370406a916fc3e9 Mon Sep 17 00:00:00 2001 From: zrguo <49157727+LarFii@users.noreply.github.com> Date: Sat, 12 Oct 2024 18:13:33 +0800 Subject: [PATCH 024/258] Update README.md --- README.md | 2 +- 1 file changed, 1 insertion(+), 1 deletion(-) diff --git a/README.md b/README.md index da5f7ebf..5d8734e8 100644 --- a/README.md +++ b/README.md @@ -5,7 +5,7 @@

- + From 55ef3789abe4badffb0d8c92aeaa5101f59aca2c Mon Sep 17 00:00:00 2001 From: HeAndres <69391549+HeAndres@users.noreply.github.com> Date: Sun, 13 Oct 2024 01:31:37 +0200 Subject: [PATCH 025/258] Fix typo on readme: utils.jpeg -> utils.py --- README.md | 2 +- 1 file changed, 1 insertion(+), 1 deletion(-) diff --git a/README.md b/README.md index 5d8734e8..1541e153 100644 --- a/README.md +++ b/README.md @@ -297,7 +297,7 @@ def extract_queries(file_path): │ ├── operate.py │ ├── prompt.py │ ├── storage.py -│ └── utils.jpeg +│ └── utils.py ├── reproduce │ ├── Step_0.py │ ├── Step_1.py From 741953c34b48eb3853702ebce0b0079708da8fd3 Mon Sep 17 00:00:00 2001 From: TianyuFan0504 Date: Mon, 14 Oct 2024 19:41:07 +0800 Subject: [PATCH 026/258] Add HF Support --- lightrag/lightrag.py | 7 ++-- lightrag/llm.py | 84 ++++++++++++++++++++++++++++++++++++++++++-- lightrag/operate.py | 76 +++++++++++++++++++++++++++++++-------- 3 files changed, 148 insertions(+), 19 deletions(-) diff --git a/lightrag/lightrag.py b/lightrag/lightrag.py index 836fda9e..25199888 100644 --- a/lightrag/lightrag.py +++ b/lightrag/lightrag.py @@ -5,7 +5,7 @@ from functools import partial from typing import Type, cast -from .llm import gpt_4o_complete, gpt_4o_mini_complete, openai_embedding +from .llm import gpt_4o_complete, gpt_4o_mini_complete, openai_embedding,hf_model,hf_embedding from .operate import ( chunking_by_token_size, extract_entities, @@ -77,12 +77,13 @@ class LightRAG: ) # text embedding - embedding_func: EmbeddingFunc = field(default_factory=lambda: openai_embedding) + embedding_func: EmbeddingFunc = field(default_factory=lambda: hf_embedding)#openai_embedding embedding_batch_num: int = 32 embedding_func_max_async: int = 16 # LLM - llm_model_func: callable = gpt_4o_mini_complete + llm_model_func: callable = hf_model#gpt_4o_mini_complete + llm_model_name: str = 'meta-llama/Llama-3.2-1B-Instruct'#'meta-llama/Llama-3.2-1B'#'google/gemma-2-2b-it' llm_model_max_token_size: int = 32768 llm_model_max_async: int = 16 diff --git a/lightrag/llm.py b/lightrag/llm.py index ee700a10..ac1471c1 100644 --- a/lightrag/llm.py +++ b/lightrag/llm.py @@ -7,10 +7,12 @@ wait_exponential, retry_if_exception_type, ) - +from transformers import AutoModel,AutoTokenizer, AutoModelForCausalLM +import torch from .base import BaseKVStorage from .utils import compute_args_hash, wrap_embedding_func_with_attrs - +import copy +os.environ["TOKENIZERS_PARALLELISM"] = "false" @retry( stop=stop_after_attempt(3), wait=wait_exponential(multiplier=1, min=4, max=10), @@ -42,6 +44,52 @@ async def openai_complete_if_cache( ) return response.choices[0].message.content +async def hf_model_if_cache( + model, prompt, system_prompt=None, history_messages=[], **kwargs +) -> str: + model_name = model + hf_tokenizer = AutoTokenizer.from_pretrained(model_name,device_map = 'auto') + if hf_tokenizer.pad_token == None: + # print("use eos token") + hf_tokenizer.pad_token = hf_tokenizer.eos_token + hf_model = AutoModelForCausalLM.from_pretrained(model_name,device_map = 'auto') + hashing_kv: BaseKVStorage = kwargs.pop("hashing_kv", None) + messages = [] + if system_prompt: + messages.append({"role": "system", "content": system_prompt}) + messages.extend(history_messages) + messages.append({"role": "user", "content": prompt}) + + if hashing_kv is not None: + args_hash = compute_args_hash(model, messages) + if_cache_return = await hashing_kv.get_by_id(args_hash) + if if_cache_return is not None: + return if_cache_return["return"] + input_prompt = '' + try: + input_prompt = hf_tokenizer.apply_chat_template(messages, tokenize=False, add_generation_prompt=True) + except: + try: + ori_message = copy.deepcopy(messages) + if messages[0]['role'] == "system": + messages[1]['content'] = "" + messages[0]['content'] + "\n" + messages[1]['content'] + messages = messages[1:] + input_prompt = hf_tokenizer.apply_chat_template(messages, tokenize=False, add_generation_prompt=True) + except: + len_message = len(ori_message) + for msgid in range(len_message): + input_prompt =input_prompt+ '<'+ori_message[msgid]['role']+'>'+ori_message[msgid]['content']+'\n' + + input_ids = hf_tokenizer(input_prompt, return_tensors='pt', padding=True, truncation=True).to("cuda") + output = hf_model.generate(**input_ids, max_new_tokens=200, num_return_sequences=1,early_stopping = True) + response_text = hf_tokenizer.decode(output[0], skip_special_tokens=True) + if hashing_kv is not None: + await hashing_kv.upsert( + {args_hash: {"return": response_text, "model": model}} + ) + return response_text + + async def gpt_4o_complete( prompt, system_prompt=None, history_messages=[], **kwargs ) -> str: @@ -65,6 +113,20 @@ async def gpt_4o_mini_complete( **kwargs, ) + + +async def hf_model( + prompt, system_prompt=None, history_messages=[], **kwargs +) -> str: + input_string = kwargs.get('model_name', 'google/gemma-2-2b-it') + return await hf_model_if_cache( + input_string, + prompt, + system_prompt=system_prompt, + history_messages=history_messages, + **kwargs, + ) + @wrap_embedding_func_with_attrs(embedding_dim=1536, max_token_size=8192) @retry( stop=stop_after_attempt(3), @@ -78,6 +140,24 @@ async def openai_embedding(texts: list[str]) -> np.ndarray: ) return np.array([dp.embedding for dp in response.data]) + + +global EMBED_MODEL +global tokenizer +EMBED_MODEL = AutoModel.from_pretrained("sentence-transformers/all-MiniLM-L6-v2") +tokenizer = AutoTokenizer.from_pretrained("sentence-transformers/all-MiniLM-L6-v2") +@wrap_embedding_func_with_attrs( + embedding_dim=384, + max_token_size=5000, +) +async def hf_embedding(texts: list[str]) -> np.ndarray: + input_ids = tokenizer(texts, return_tensors='pt', padding=True, truncation=True).input_ids + with torch.no_grad(): + outputs = EMBED_MODEL(input_ids) + embeddings = outputs.last_hidden_state.mean(dim=1) + return embeddings.detach().numpy() + + if __name__ == "__main__": import asyncio diff --git a/lightrag/operate.py b/lightrag/operate.py index 2d3271da..21b914f9 100644 --- a/lightrag/operate.py +++ b/lightrag/operate.py @@ -3,7 +3,7 @@ import re from typing import Union from collections import Counter, defaultdict - +import warnings from .utils import ( logger, clean_str, @@ -398,10 +398,15 @@ async def local_query( keywords = keywords_data.get("low_level_keywords", []) keywords = ', '.join(keywords) except json.JSONDecodeError as e: + try: + result = result.replace(kw_prompt[:-1],'').replace('user','').replace('model','').strip().strip('```').strip('json') + keywords_data = json.loads(result) + keywords = keywords_data.get("low_level_keywords", []) + keywords = ', '.join(keywords) # Handle parsing error - print(f"JSON parsing error: {e}") - return PROMPTS["fail_response"] - + except json.JSONDecodeError as e: + print(f"JSON parsing error: {e}") + return PROMPTS["fail_response"] context = await _build_local_query_context( keywords, knowledge_graph_inst, @@ -421,6 +426,9 @@ async def local_query( query, system_prompt=sys_prompt, ) + if len(response)>len(sys_prompt): + response = response.replace(sys_prompt,'').replace('user','').replace('model','').replace(query,'').replace('','').replace('','').strip() + return response async def _build_local_query_context( @@ -617,9 +625,16 @@ async def global_query( keywords = keywords_data.get("high_level_keywords", []) keywords = ', '.join(keywords) except json.JSONDecodeError as e: - # Handle parsing error - print(f"JSON parsing error: {e}") - return PROMPTS["fail_response"] + try: + result = result.replace(kw_prompt[:-1],'').replace('user','').replace('model','').strip().strip('```').strip('json') + keywords_data = json.loads(result) + keywords = keywords_data.get("high_level_keywords", []) + keywords = ', '.join(keywords) + + except json.JSONDecodeError as e: + # Handle parsing error + print(f"JSON parsing error: {e}") + return PROMPTS["fail_response"] context = await _build_global_query_context( keywords, @@ -643,6 +658,9 @@ async def global_query( query, system_prompt=sys_prompt, ) + if len(response)>len(sys_prompt): + response = response.replace(sys_prompt,'').replace('user','').replace('model','').replace(query,'').replace('','').replace('','').strip() + return response async def _build_global_query_context( @@ -822,8 +840,8 @@ async def hybird_query( kw_prompt_temp = PROMPTS["keywords_extraction"] kw_prompt = kw_prompt_temp.format(query=query) + result = await use_model_func(kw_prompt) - try: keywords_data = json.loads(result) hl_keywords = keywords_data.get("high_level_keywords", []) @@ -831,10 +849,18 @@ async def hybird_query( hl_keywords = ', '.join(hl_keywords) ll_keywords = ', '.join(ll_keywords) except json.JSONDecodeError as e: + try: + result = result.replace(kw_prompt[:-1],'').replace('user','').replace('model','').strip().strip('```').strip('json') + keywords_data = json.loads(result) + hl_keywords = keywords_data.get("high_level_keywords", []) + ll_keywords = keywords_data.get("low_level_keywords", []) + hl_keywords = ', '.join(hl_keywords) + ll_keywords = ', '.join(ll_keywords) # Handle parsing error - print(f"JSON parsing error: {e}") - return PROMPTS["fail_response"] - + except json.JSONDecodeError as e: + print(f"JSON parsing error: {e}") + return PROMPTS["fail_response"] + low_level_context = await _build_local_query_context( ll_keywords, knowledge_graph_inst, @@ -851,7 +877,7 @@ async def hybird_query( text_chunks_db, query_param, ) - + context = combine_contexts(high_level_context, low_level_context) if query_param.only_need_context: @@ -867,10 +893,13 @@ async def hybird_query( query, system_prompt=sys_prompt, ) + if len(response)>len(sys_prompt): + response = response.replace(sys_prompt,'').replace('user','').replace('model','').replace(query,'').replace('','').replace('','').strip() return response def combine_contexts(high_level_context, low_level_context): # Function to extract entities, relationships, and sources from context strings + def extract_sections(context): entities_match = re.search(r'-----Entities-----\s*```csv\s*(.*?)\s*```', context, re.DOTALL) relationships_match = re.search(r'-----Relationships-----\s*```csv\s*(.*?)\s*```', context, re.DOTALL) @@ -883,8 +912,21 @@ def extract_sections(context): return entities, relationships, sources # Extract sections from both contexts - hl_entities, hl_relationships, hl_sources = extract_sections(high_level_context) - ll_entities, ll_relationships, ll_sources = extract_sections(low_level_context) + + if high_level_context==None: + warnings.warn("High Level context is None. Return empty High entity/relationship/source") + hl_entities, hl_relationships, hl_sources = '','','' + else: + hl_entities, hl_relationships, hl_sources = extract_sections(high_level_context) + + + if low_level_context==None: + warnings.warn("Low Level context is None. Return empty Low entity/relationship/source") + ll_entities, ll_relationships, ll_sources = '','','' + else: + ll_entities, ll_relationships, ll_sources = extract_sections(low_level_context) + + # Combine and deduplicate the entities combined_entities_set = set(filter(None, hl_entities.strip().split('\n') + ll_entities.strip().split('\n'))) @@ -917,6 +959,7 @@ async def naive_query( global_config: dict, ): use_model_func = global_config["llm_model_func"] + use_model_name = global_config['llm_model_name'] results = await chunks_vdb.query(query, top_k=query_param.top_k) if not len(results): return PROMPTS["fail_response"] @@ -939,6 +982,11 @@ async def naive_query( response = await use_model_func( query, system_prompt=sys_prompt, + model_name = use_model_name ) + + if len(response)>len(sys_prompt): + response = response[len(sys_prompt):].replace(sys_prompt,'').replace('user','').replace('model','').replace(query,'').replace('','').replace('','').strip() + return response From e5876fb2255042d483e8b0c31fe364621b47c9ba Mon Sep 17 00:00:00 2001 From: TianyuFan0504 Date: Mon, 14 Oct 2024 20:33:46 +0800 Subject: [PATCH 027/258] update hf_model_complete --- lightrag/lightrag.py | 7 ++++--- lightrag/llm.py | 4 ++-- lightrag/operate.py | 2 -- 3 files changed, 6 insertions(+), 7 deletions(-) diff --git a/lightrag/lightrag.py b/lightrag/lightrag.py index 25199888..9c34a607 100644 --- a/lightrag/lightrag.py +++ b/lightrag/lightrag.py @@ -5,7 +5,7 @@ from functools import partial from typing import Type, cast -from .llm import gpt_4o_complete, gpt_4o_mini_complete, openai_embedding,hf_model,hf_embedding +from .llm import gpt_4o_complete, gpt_4o_mini_complete, openai_embedding,hf_model_complete,hf_embedding from .operate import ( chunking_by_token_size, extract_entities, @@ -77,12 +77,13 @@ class LightRAG: ) # text embedding - embedding_func: EmbeddingFunc = field(default_factory=lambda: hf_embedding)#openai_embedding + # embedding_func: EmbeddingFunc = field(default_factory=lambda:hf_embedding) + embedding_func: EmbeddingFunc = field(default_factory=lambda:openai_embedding)# embedding_batch_num: int = 32 embedding_func_max_async: int = 16 # LLM - llm_model_func: callable = hf_model#gpt_4o_mini_complete + llm_model_func: callable = gpt_4o_mini_complete#hf_model_complete# llm_model_name: str = 'meta-llama/Llama-3.2-1B-Instruct'#'meta-llama/Llama-3.2-1B'#'google/gemma-2-2b-it' llm_model_max_token_size: int = 32768 llm_model_max_async: int = 16 diff --git a/lightrag/llm.py b/lightrag/llm.py index ac1471c1..5fb27b04 100644 --- a/lightrag/llm.py +++ b/lightrag/llm.py @@ -115,10 +115,10 @@ async def gpt_4o_mini_complete( -async def hf_model( +async def hf_model_complete( prompt, system_prompt=None, history_messages=[], **kwargs ) -> str: - input_string = kwargs.get('model_name', 'google/gemma-2-2b-it') + input_string = kwargs['hashing_kv'].global_config['llm_model_name'] return await hf_model_if_cache( input_string, prompt, diff --git a/lightrag/operate.py b/lightrag/operate.py index 21b914f9..a8213a37 100644 --- a/lightrag/operate.py +++ b/lightrag/operate.py @@ -959,7 +959,6 @@ async def naive_query( global_config: dict, ): use_model_func = global_config["llm_model_func"] - use_model_name = global_config['llm_model_name'] results = await chunks_vdb.query(query, top_k=query_param.top_k) if not len(results): return PROMPTS["fail_response"] @@ -982,7 +981,6 @@ async def naive_query( response = await use_model_func( query, system_prompt=sys_prompt, - model_name = use_model_name ) if len(response)>len(sys_prompt): From 1e780682682879afeb54ae63af952bb454d68143 Mon Sep 17 00:00:00 2001 From: LarFii <834462287@qq.com> Date: Tue, 15 Oct 2024 19:40:08 +0800 Subject: [PATCH 028/258] Add huggingface model support --- README.md | 8 +++---- examples/insert.py | 18 ---------------- examples/lightrag_hf_demo.py | 36 ++++++++++++++++++++++++++++++++ examples/lightrag_openai_demo.py | 33 +++++++++++++++++++++++++++++ examples/query.py | 16 -------------- lightrag/__init__.py | 2 +- lightrag/base.py | 2 +- lightrag/lightrag.py | 29 ++++++++++++++++++------- lightrag/llm.py | 8 ++----- lightrag/operate.py | 2 +- reproduce/Step_3.py | 2 +- 11 files changed, 100 insertions(+), 56 deletions(-) delete mode 100644 examples/insert.py create mode 100644 examples/lightrag_hf_demo.py create mode 100644 examples/lightrag_openai_demo.py delete mode 100644 examples/query.py diff --git a/README.md b/README.md index 1541e153..562585e4 100644 --- a/README.md +++ b/README.md @@ -59,8 +59,8 @@ print(rag.query("What are the top themes in this story?", param=QueryParam(mode= # Perform global search print(rag.query("What are the top themes in this story?", param=QueryParam(mode="global"))) -# Perform hybird search -print(rag.query("What are the top themes in this story?", param=QueryParam(mode="hybird"))) +# Perform hybrid search +print(rag.query("What are the top themes in this story?", param=QueryParam(mode="hybrid"))) ``` Batch Insert ```python @@ -287,8 +287,8 @@ def extract_queries(file_path): ├── examples │ ├── batch_eval.py │ ├── generate_query.py -│ ├── insert.py -│ └── query.py +│ ├── lightrag_openai_demo.py +│ └── lightrag_hf_demo.py ├── lightrag │ ├── __init__.py │ ├── base.py diff --git a/examples/insert.py b/examples/insert.py deleted file mode 100644 index 25c3cdda..00000000 --- a/examples/insert.py +++ /dev/null @@ -1,18 +0,0 @@ -import os -import sys - -from lightrag import LightRAG - -# os.environ["OPENAI_API_KEY"] = "" - -WORKING_DIR = "" - -if not os.path.exists(WORKING_DIR): - os.mkdir(WORKING_DIR) - -rag = LightRAG(working_dir=WORKING_DIR) - -with open('./text.txt', 'r') as f: - text = f.read() - -rag.insert(text) \ No newline at end of file diff --git a/examples/lightrag_hf_demo.py b/examples/lightrag_hf_demo.py new file mode 100644 index 00000000..f0e5fa99 --- /dev/null +++ b/examples/lightrag_hf_demo.py @@ -0,0 +1,36 @@ +import os +import sys + +from lightrag import LightRAG, QueryParam +from lightrag.llm import hf_model_complete, hf_embedding +from transformers import AutoModel,AutoTokenizer + +WORKING_DIR = "./dickens" + +if not os.path.exists(WORKING_DIR): + os.mkdir(WORKING_DIR) + +rag = LightRAG( + working_dir=WORKING_DIR, + llm_model_func=hf_model_complete, + llm_model_name='meta-llama/Llama-3.1-8B-Instruct', + embedding_func=hf_embedding, + tokenizer=AutoTokenizer.from_pretrained("sentence-transformers/all-MiniLM-L6-v2"), + embed_model=AutoModel.from_pretrained("sentence-transformers/all-MiniLM-L6-v2") +) + + +with open("./book.txt") as f: + rag.insert(f.read()) + +# Perform naive search +print(rag.query("What are the top themes in this story?", param=QueryParam(mode="naive"))) + +# Perform local search +print(rag.query("What are the top themes in this story?", param=QueryParam(mode="local"))) + +# Perform global search +print(rag.query("What are the top themes in this story?", param=QueryParam(mode="global"))) + +# Perform hybrid search +print(rag.query("What are the top themes in this story?", param=QueryParam(mode="hybrid"))) diff --git a/examples/lightrag_openai_demo.py b/examples/lightrag_openai_demo.py new file mode 100644 index 00000000..677506c2 --- /dev/null +++ b/examples/lightrag_openai_demo.py @@ -0,0 +1,33 @@ +import os +import sys + +from lightrag import LightRAG, QueryParam +from lightrag.llm import gpt_4o_mini_complete, gpt_4o_complete +from transformers import AutoModel,AutoTokenizer + +WORKING_DIR = "./dickens" + +if not os.path.exists(WORKING_DIR): + os.mkdir(WORKING_DIR) + +rag = LightRAG( + working_dir=WORKING_DIR, + llm_model_func=gpt_4o_complete + # llm_model_func=gpt_4o_mini_complete +) + + +with open("./book.txt") as f: + rag.insert(f.read()) + +# Perform naive search +print(rag.query("What are the top themes in this story?", param=QueryParam(mode="naive"))) + +# Perform local search +print(rag.query("What are the top themes in this story?", param=QueryParam(mode="local"))) + +# Perform global search +print(rag.query("What are the top themes in this story?", param=QueryParam(mode="global"))) + +# Perform hybrid search +print(rag.query("What are the top themes in this story?", param=QueryParam(mode="hybrid"))) diff --git a/examples/query.py b/examples/query.py deleted file mode 100644 index 00c902eb..00000000 --- a/examples/query.py +++ /dev/null @@ -1,16 +0,0 @@ -import os -import sys - -from lightrag import LightRAG, QueryParam - -# os.environ["OPENAI_API_KEY"] = "" - -WORKING_DIR = "" - -rag = LightRAG(working_dir=WORKING_DIR) - -mode = 'global' -query_param = QueryParam(mode=mode) - -result = rag.query("", param=query_param) -print(result) \ No newline at end of file diff --git a/lightrag/__init__.py b/lightrag/__init__.py index 0b279096..b3d1d4ca 100644 --- a/lightrag/__init__.py +++ b/lightrag/__init__.py @@ -1,5 +1,5 @@ from .lightrag import LightRAG, QueryParam -__version__ = "0.0.3" +__version__ = "0.0.4" __author__ = "Zirui Guo" __url__ = "https://github.com/HKUDS/LightRAG" diff --git a/lightrag/base.py b/lightrag/base.py index 9c0422fe..d677c406 100644 --- a/lightrag/base.py +++ b/lightrag/base.py @@ -14,7 +14,7 @@ @dataclass class QueryParam: - mode: Literal["local", "global", "hybird", "naive"] = "global" + mode: Literal["local", "global", "hybrid", "naive"] = "global" only_need_context: bool = False response_type: str = "Multiple Paragraphs" top_k: int = 60 diff --git a/lightrag/lightrag.py b/lightrag/lightrag.py index 9c34a607..329bfd12 100644 --- a/lightrag/lightrag.py +++ b/lightrag/lightrag.py @@ -3,7 +3,8 @@ from dataclasses import asdict, dataclass, field from datetime import datetime from functools import partial -from typing import Type, cast +from typing import Type, cast, Any +from transformers import AutoModel,AutoTokenizer, AutoModelForCausalLM from .llm import gpt_4o_complete, gpt_4o_mini_complete, openai_embedding,hf_model_complete,hf_embedding from .operate import ( @@ -11,7 +12,7 @@ extract_entities, local_query, global_query, - hybird_query, + hybrid_query, naive_query, ) @@ -38,15 +39,14 @@ def always_get_an_event_loop() -> asyncio.AbstractEventLoop: try: - # If there is already an event loop, use it. - loop = asyncio.get_event_loop() + loop = asyncio.get_running_loop() except RuntimeError: - # If in a sub-thread, create a new event loop. logger.info("Creating a new event loop in a sub-thread.") loop = asyncio.new_event_loop() asyncio.set_event_loop(loop) return loop + @dataclass class LightRAG: working_dir: str = field( @@ -77,6 +77,9 @@ class LightRAG: ) # text embedding + tokenizer: Any = None + embed_model: Any = None + # embedding_func: EmbeddingFunc = field(default_factory=lambda:hf_embedding) embedding_func: EmbeddingFunc = field(default_factory=lambda:openai_embedding)# embedding_batch_num: int = 32 @@ -100,6 +103,13 @@ class LightRAG: convert_response_to_json_func: callable = convert_response_to_json def __post_init__(self): + if callable(self.embedding_func) and self.embedding_func.__name__ == 'hf_embedding': + if self.tokenizer is None: + self.tokenizer = AutoTokenizer.from_pretrained("sentence-transformers/all-MiniLM-L6-v2") + if self.embed_model is None: + self.embed_model = AutoModel.from_pretrained("sentence-transformers/all-MiniLM-L6-v2") + + log_file = os.path.join(self.working_dir, "lightrag.log") set_logger(log_file) logger.info(f"Logger initialized for working directory: {self.working_dir}") @@ -130,8 +140,11 @@ def __post_init__(self): namespace="chunk_entity_relation", global_config=asdict(self) ) self.embedding_func = limit_async_func_call(self.embedding_func_max_async)( - self.embedding_func + lambda texts: self.embedding_func(texts, self.tokenizer, self.embed_model) + if callable(self.embedding_func) and self.embedding_func.__name__ == 'hf_embedding' + else self.embedding_func(texts) ) + self.entities_vdb = ( self.vector_db_storage_cls( namespace="entities", @@ -267,8 +280,8 @@ async def aquery(self, query: str, param: QueryParam = QueryParam()): param, asdict(self), ) - elif param.mode == "hybird": - response = await hybird_query( + elif param.mode == "hybrid": + response = await hybrid_query( query, self.chunk_entity_relation_graph, self.entities_vdb, diff --git a/lightrag/llm.py b/lightrag/llm.py index 5fb27b04..bc2ac1f3 100644 --- a/lightrag/llm.py +++ b/lightrag/llm.py @@ -142,18 +142,14 @@ async def openai_embedding(texts: list[str]) -> np.ndarray: -global EMBED_MODEL -global tokenizer -EMBED_MODEL = AutoModel.from_pretrained("sentence-transformers/all-MiniLM-L6-v2") -tokenizer = AutoTokenizer.from_pretrained("sentence-transformers/all-MiniLM-L6-v2") @wrap_embedding_func_with_attrs( embedding_dim=384, max_token_size=5000, ) -async def hf_embedding(texts: list[str]) -> np.ndarray: +async def hf_embedding(texts: list[str], tokenizer, embed_model) -> np.ndarray: input_ids = tokenizer(texts, return_tensors='pt', padding=True, truncation=True).input_ids with torch.no_grad(): - outputs = EMBED_MODEL(input_ids) + outputs = embed_model(input_ids) embeddings = outputs.last_hidden_state.mean(dim=1) return embeddings.detach().numpy() diff --git a/lightrag/operate.py b/lightrag/operate.py index a8213a37..3d388cb6 100644 --- a/lightrag/operate.py +++ b/lightrag/operate.py @@ -827,7 +827,7 @@ async def _find_related_text_unit_from_relationships( return all_text_units -async def hybird_query( +async def hybrid_query( query, knowledge_graph_inst: BaseGraphStorage, entities_vdb: BaseVectorStorage, diff --git a/reproduce/Step_3.py b/reproduce/Step_3.py index f7f7ee30..e97e2af6 100644 --- a/reproduce/Step_3.py +++ b/reproduce/Step_3.py @@ -52,7 +52,7 @@ def run_queries_and_save_to_json(queries, rag_instance, query_param, output_file if __name__ == "__main__": cls = "agriculture" - mode = "hybird" + mode = "hybrid" WORKING_DIR = "../{cls}" rag = LightRAG(working_dir=WORKING_DIR) From 9cf38ed9d0ab4cb27a307e97ec82916f5a22cd33 Mon Sep 17 00:00:00 2001 From: LarFii <834462287@qq.com> Date: Tue, 15 Oct 2024 19:55:30 +0800 Subject: [PATCH 029/258] update README.md --- README.md | 43 +++++++++++++++++++++++++++++++++++++------ 1 file changed, 37 insertions(+), 6 deletions(-) diff --git a/README.md b/README.md index 562585e4..cc282c27 100644 --- a/README.md +++ b/README.md @@ -20,6 +20,9 @@ This repository hosts the code of LightRAG. The structure of this code is based ![请添加图片描述](https://i-blog.csdnimg.cn/direct/b2aaf634151b4706892693ffb43d9093.png)

+## 🎉 News +- [x] [2024.10.15]🎯🎯📢📢LightRAG now supports Hugging Face models! + ## Install * Install from source @@ -35,17 +38,27 @@ pip install lightrag-hku ## Quick Start -* Set OpenAI API key in environment: `export OPENAI_API_KEY="sk-...".` -* Download the demo text "A Christmas Carol by Charles Dickens" +* Set OpenAI API key in environment if using OpenAI models: `export OPENAI_API_KEY="sk-...".` +* Download the demo text "A Christmas Carol by Charles Dickens": ```bash curl https://raw.githubusercontent.com/gusye1234/nano-graphrag/main/tests/mock_data.txt > ./book.txt ``` -Use the below python snippet: +Use the below Python snippet to initialize LightRAG and perform queries: ```python from lightrag import LightRAG, QueryParam +from lightrag.llm import gpt_4o_mini_complete, gpt_4o_complete -rag = LightRAG(working_dir="./dickens") +WORKING_DIR = "./dickens" + +if not os.path.exists(WORKING_DIR): + os.mkdir(WORKING_DIR) + +rag = LightRAG( + working_dir=WORKING_DIR, + llm_model_func=gpt_4o_mini_complete # Use gpt_4o_mini_complete LLM model + # llm_model_func=gpt_4o_complete # Optionally, use a stronger model +) with open("./book.txt") as f: rag.insert(f.read()) @@ -62,13 +75,31 @@ print(rag.query("What are the top themes in this story?", param=QueryParam(mode= # Perform hybrid search print(rag.query("What are the top themes in this story?", param=QueryParam(mode="hybrid"))) ``` -Batch Insert +### Using Hugging Face Models +If you want to use Hugging Face models, you only need to set LightRAG as follows: +```python +from lightrag.llm import hf_model_complete, hf_embedding +from transformers import AutoModel, AutoTokenizer + +# Initialize LightRAG with Hugging Face model +rag = LightRAG( + working_dir=WORKING_DIR, + llm_model_func=hf_model_complete, # Use Hugging Face complete model for text generation + llm_model_name='meta-llama/Llama-3.1-8B-Instruct', # Model name from Hugging Face + embedding_func=hf_embedding, # Use Hugging Face embedding function + tokenizer=AutoTokenizer.from_pretrained("sentence-transformers/all-MiniLM-L6-v2"), + embed_model=AutoModel.from_pretrained("sentence-transformers/all-MiniLM-L6-v2") +) +``` +### Batch Insert ```python +# Batch Insert: Insert multiple texts at once rag.insert(["TEXT1", "TEXT2",...]) ``` -Incremental Insert +### Incremental Insert ```python +# Incremental Insert: Insert new documents into an existing LightRAG instance rag = LightRAG(working_dir="./dickens") with open("./newText.txt") as f: From f2e8732c4308ad41f878f6c9f00b8b879801a8c0 Mon Sep 17 00:00:00 2001 From: LarFii <834462287@qq.com> Date: Tue, 15 Oct 2024 20:06:59 +0800 Subject: [PATCH 030/258] update llm.py --- lightrag/llm.py | 4 ++-- 1 file changed, 2 insertions(+), 2 deletions(-) diff --git a/lightrag/llm.py b/lightrag/llm.py index bc2ac1f3..87b156c5 100644 --- a/lightrag/llm.py +++ b/lightrag/llm.py @@ -118,9 +118,9 @@ async def gpt_4o_mini_complete( async def hf_model_complete( prompt, system_prompt=None, history_messages=[], **kwargs ) -> str: - input_string = kwargs['hashing_kv'].global_config['llm_model_name'] + model_name = kwargs['hashing_kv'].global_config['llm_model_name'] return await hf_model_if_cache( - input_string, + model_name, prompt, system_prompt=system_prompt, history_messages=history_messages, From cc4af0d75f3d9f00d16b5d82c511571cbe881dd5 Mon Sep 17 00:00:00 2001 From: LarFii <834462287@qq.com> Date: Tue, 15 Oct 2024 21:11:12 +0800 Subject: [PATCH 031/258] fix bug --- examples/lightrag_hf_demo.py | 11 ++++++++--- examples/lightrag_openai_demo.py | 6 +++--- lightrag/lightrag.py | 18 +++--------------- 3 files changed, 14 insertions(+), 21 deletions(-) diff --git a/examples/lightrag_hf_demo.py b/examples/lightrag_hf_demo.py index f0e5fa99..4cd503b3 100644 --- a/examples/lightrag_hf_demo.py +++ b/examples/lightrag_hf_demo.py @@ -3,6 +3,7 @@ from lightrag import LightRAG, QueryParam from lightrag.llm import hf_model_complete, hf_embedding +from lightrag.utils import EmbeddingFunc from transformers import AutoModel,AutoTokenizer WORKING_DIR = "./dickens" @@ -14,9 +15,13 @@ working_dir=WORKING_DIR, llm_model_func=hf_model_complete, llm_model_name='meta-llama/Llama-3.1-8B-Instruct', - embedding_func=hf_embedding, - tokenizer=AutoTokenizer.from_pretrained("sentence-transformers/all-MiniLM-L6-v2"), - embed_model=AutoModel.from_pretrained("sentence-transformers/all-MiniLM-L6-v2") + embedding_func=EmbeddingFunc( + tokenizer=AutoTokenizer.from_pretrained("sentence-transformers/all-MiniLM-L6-v2"), + embed_model=AutoModel.from_pretrained("sentence-transformers/all-MiniLM-L6-v2"), + embedding_dim=384, + max_token_size=5000, + func=hf_embedding + ), ) diff --git a/examples/lightrag_openai_demo.py b/examples/lightrag_openai_demo.py index 677506c2..507b2eb2 100644 --- a/examples/lightrag_openai_demo.py +++ b/examples/lightrag_openai_demo.py @@ -5,15 +5,15 @@ from lightrag.llm import gpt_4o_mini_complete, gpt_4o_complete from transformers import AutoModel,AutoTokenizer -WORKING_DIR = "./dickens" +WORKING_DIR = "/home/zrguo/code/myrag/agriculture" if not os.path.exists(WORKING_DIR): os.mkdir(WORKING_DIR) rag = LightRAG( working_dir=WORKING_DIR, - llm_model_func=gpt_4o_complete - # llm_model_func=gpt_4o_mini_complete + llm_model_func=gpt_4o_mini_complete + # llm_model_func=gpt_4o_complete ) diff --git a/lightrag/lightrag.py b/lightrag/lightrag.py index 329bfd12..0d50a13d 100644 --- a/lightrag/lightrag.py +++ b/lightrag/lightrag.py @@ -76,12 +76,8 @@ class LightRAG: } ) - # text embedding - tokenizer: Any = None - embed_model: Any = None - # embedding_func: EmbeddingFunc = field(default_factory=lambda:hf_embedding) - embedding_func: EmbeddingFunc = field(default_factory=lambda:openai_embedding)# + embedding_func: EmbeddingFunc = field(default_factory=lambda:openai_embedding) embedding_batch_num: int = 32 embedding_func_max_async: int = 16 @@ -103,13 +99,6 @@ class LightRAG: convert_response_to_json_func: callable = convert_response_to_json def __post_init__(self): - if callable(self.embedding_func) and self.embedding_func.__name__ == 'hf_embedding': - if self.tokenizer is None: - self.tokenizer = AutoTokenizer.from_pretrained("sentence-transformers/all-MiniLM-L6-v2") - if self.embed_model is None: - self.embed_model = AutoModel.from_pretrained("sentence-transformers/all-MiniLM-L6-v2") - - log_file = os.path.join(self.working_dir, "lightrag.log") set_logger(log_file) logger.info(f"Logger initialized for working directory: {self.working_dir}") @@ -139,10 +128,9 @@ def __post_init__(self): self.chunk_entity_relation_graph = self.graph_storage_cls( namespace="chunk_entity_relation", global_config=asdict(self) ) + self.embedding_func = limit_async_func_call(self.embedding_func_max_async)( - lambda texts: self.embedding_func(texts, self.tokenizer, self.embed_model) - if callable(self.embedding_func) and self.embedding_func.__name__ == 'hf_embedding' - else self.embedding_func(texts) + self.embedding_func ) self.entities_vdb = ( From e34922d292eccad3d7161ea112ae7eda752c7da9 Mon Sep 17 00:00:00 2001 From: LarFii <834462287@qq.com> Date: Tue, 15 Oct 2024 21:21:57 +0800 Subject: [PATCH 032/258] fix bug --- examples/lightrag_hf_demo.py | 8 +++++--- examples/lightrag_openai_demo.py | 2 +- lightrag/__init__.py | 2 +- lightrag/llm.py | 5 ----- 4 files changed, 7 insertions(+), 10 deletions(-) diff --git a/examples/lightrag_hf_demo.py b/examples/lightrag_hf_demo.py index 4cd503b3..baf62bdb 100644 --- a/examples/lightrag_hf_demo.py +++ b/examples/lightrag_hf_demo.py @@ -16,11 +16,13 @@ llm_model_func=hf_model_complete, llm_model_name='meta-llama/Llama-3.1-8B-Instruct', embedding_func=EmbeddingFunc( - tokenizer=AutoTokenizer.from_pretrained("sentence-transformers/all-MiniLM-L6-v2"), - embed_model=AutoModel.from_pretrained("sentence-transformers/all-MiniLM-L6-v2"), embedding_dim=384, max_token_size=5000, - func=hf_embedding + func=lambda texts: hf_embedding( + texts, + tokenizer=AutoTokenizer.from_pretrained("sentence-transformers/all-MiniLM-L6-v2"), + embed_model=AutoModel.from_pretrained("sentence-transformers/all-MiniLM-L6-v2") + ) ), ) diff --git a/examples/lightrag_openai_demo.py b/examples/lightrag_openai_demo.py index 507b2eb2..fb1f055c 100644 --- a/examples/lightrag_openai_demo.py +++ b/examples/lightrag_openai_demo.py @@ -5,7 +5,7 @@ from lightrag.llm import gpt_4o_mini_complete, gpt_4o_complete from transformers import AutoModel,AutoTokenizer -WORKING_DIR = "/home/zrguo/code/myrag/agriculture" +WORKING_DIR = "./dickens" if not os.path.exists(WORKING_DIR): os.mkdir(WORKING_DIR) diff --git a/lightrag/__init__.py b/lightrag/__init__.py index b3d1d4ca..dc8faa6a 100644 --- a/lightrag/__init__.py +++ b/lightrag/__init__.py @@ -1,5 +1,5 @@ from .lightrag import LightRAG, QueryParam -__version__ = "0.0.4" +__version__ = "0.0.5" __author__ = "Zirui Guo" __url__ = "https://github.com/HKUDS/LightRAG" diff --git a/lightrag/llm.py b/lightrag/llm.py index 87b156c5..bcb7e495 100644 --- a/lightrag/llm.py +++ b/lightrag/llm.py @@ -141,11 +141,6 @@ async def openai_embedding(texts: list[str]) -> np.ndarray: return np.array([dp.embedding for dp in response.data]) - -@wrap_embedding_func_with_attrs( - embedding_dim=384, - max_token_size=5000, -) async def hf_embedding(texts: list[str], tokenizer, embed_model) -> np.ndarray: input_ids = tokenizer(texts, return_tensors='pt', padding=True, truncation=True).input_ids with torch.no_grad(): From 3fb91616c0c5dc99f8a0dd1dbc5334e7d7c643c2 Mon Sep 17 00:00:00 2001 From: LarFii <834462287@qq.com> Date: Tue, 15 Oct 2024 21:23:03 +0800 Subject: [PATCH 033/258] update README.md --- README.md | 13 ++++++++++--- 1 file changed, 10 insertions(+), 3 deletions(-) diff --git a/README.md b/README.md index cc282c27..12a422f6 100644 --- a/README.md +++ b/README.md @@ -86,9 +86,16 @@ rag = LightRAG( working_dir=WORKING_DIR, llm_model_func=hf_model_complete, # Use Hugging Face complete model for text generation llm_model_name='meta-llama/Llama-3.1-8B-Instruct', # Model name from Hugging Face - embedding_func=hf_embedding, # Use Hugging Face embedding function - tokenizer=AutoTokenizer.from_pretrained("sentence-transformers/all-MiniLM-L6-v2"), - embed_model=AutoModel.from_pretrained("sentence-transformers/all-MiniLM-L6-v2") + # Use Hugging Face embedding function + embedding_func=EmbeddingFunc( + embedding_dim=384, + max_token_size=5000, + func=lambda texts: hf_embedding( + texts, + tokenizer=AutoTokenizer.from_pretrained("sentence-transformers/all-MiniLM-L6-v2"), + embed_model=AutoModel.from_pretrained("sentence-transformers/all-MiniLM-L6-v2") + ) + ), ) ``` ### Batch Insert From dddf6f335d6c2958ead54107c853c9013c9a9b76 Mon Sep 17 00:00:00 2001 From: LarFii <834462287@qq.com> Date: Tue, 15 Oct 2024 22:30:16 +0800 Subject: [PATCH 034/258] Add Star History --- README.md | 11 +++++++++++ 1 file changed, 11 insertions(+) diff --git a/README.md b/README.md index 12a422f6..f594f789 100644 --- a/README.md +++ b/README.md @@ -318,6 +318,17 @@ def extract_queries(file_path): return queries ``` + +## Star History + + + + + + Star History Chart + + + ## Code Structure ```python From 8783843c8bea87cafd5c6971b74855373ddceb5c Mon Sep 17 00:00:00 2001 From: LarFii <834462287@qq.com> Date: Tue, 15 Oct 2024 22:31:41 +0800 Subject: [PATCH 035/258] Add Star History --- README.md | 12 ++++++++++++ 1 file changed, 12 insertions(+) diff --git a/README.md b/README.md index 12a422f6..af79eec2 100644 --- a/README.md +++ b/README.md @@ -318,6 +318,7 @@ def extract_queries(file_path): return queries ``` + ## Code Structure ```python @@ -346,6 +347,17 @@ def extract_queries(file_path): ├── requirements.txt └── setup.py ``` + +## Star History + + + + + + Star History Chart + + + ## Citation ```python From a93dc2b85200068f7d0409cfb82ffcf59d16c823 Mon Sep 17 00:00:00 2001 From: LarFii <834462287@qq.com> Date: Tue, 15 Oct 2024 22:34:02 +0800 Subject: [PATCH 036/258] Add Star history --- README.md | 21 +++++++++++---------- 1 file changed, 11 insertions(+), 10 deletions(-) diff --git a/README.md b/README.md index f594f789..af79eec2 100644 --- a/README.md +++ b/README.md @@ -319,16 +319,6 @@ def extract_queries(file_path): return queries ``` -## Star History - - - - - - Star History Chart - - - ## Code Structure ```python @@ -357,6 +347,17 @@ def extract_queries(file_path): ├── requirements.txt └── setup.py ``` + +## Star History + + + + + + Star History Chart + + + ## Citation ```python From 9cf179ebd586aa234b70d531a927429b55310e11 Mon Sep 17 00:00:00 2001 From: =?UTF-8?q?=E2=9C=A8Data=20Intelligence=20Lab=40HKU=E2=9C=A8?= <118165258+HKUDS@users.noreply.github.com> Date: Tue, 15 Oct 2024 23:48:34 +0800 Subject: [PATCH 037/258] Update README.md --- README.md | 2 +- 1 file changed, 1 insertion(+), 1 deletion(-) diff --git a/README.md b/README.md index af79eec2..8d688cc9 100644 --- a/README.md +++ b/README.md @@ -1,4 +1,4 @@ -# LightRAG: Simple and Fast Retrieval-Augmented Generation +# 🚀 LightRAG: Simple and Fast Retrieval-Augmented Generation ![请添加图片描述](https://i-blog.csdnimg.cn/direct/567139f1a36e4564abc63ce5c12b6271.jpeg) From bd46f222cd9a57462ff169764098faf28c6d9d43 Mon Sep 17 00:00:00 2001 From: zrguo <49157727+LarFii@users.noreply.github.com> Date: Tue, 15 Oct 2024 23:57:57 +0800 Subject: [PATCH 038/258] Update README.md --- README.md | 2 +- 1 file changed, 1 insertion(+), 1 deletion(-) diff --git a/README.md b/README.md index 8d688cc9..39de81bc 100644 --- a/README.md +++ b/README.md @@ -1,4 +1,4 @@ -# 🚀 LightRAG: Simple and Fast Retrieval-Augmented Generation +

🚀 LightRAG: Simple and Fast Retrieval-Augmented Generation

![请添加图片描述](https://i-blog.csdnimg.cn/direct/567139f1a36e4564abc63ce5c12b6271.jpeg) From eeded24b42b518a3dfbb96276b3afee1e613cc6f Mon Sep 17 00:00:00 2001 From: Sung Kim Date: Tue, 15 Oct 2024 12:55:05 -0700 Subject: [PATCH 039/258] Added OpenAI compatible options and examples --- examples/lightrag_openai_compatible_demo.py | 69 +++++++++++++++++++++ lightrag/llm.py | 16 +++-- 2 files changed, 80 insertions(+), 5 deletions(-) create mode 100644 examples/lightrag_openai_compatible_demo.py diff --git a/examples/lightrag_openai_compatible_demo.py b/examples/lightrag_openai_compatible_demo.py new file mode 100644 index 00000000..75ecc118 --- /dev/null +++ b/examples/lightrag_openai_compatible_demo.py @@ -0,0 +1,69 @@ +import os +import asyncio +from lightrag import LightRAG, QueryParam +from lightrag.llm import openai_complete_if_cache, openai_embedding +from lightrag.utils import EmbeddingFunc +import numpy as np + +WORKING_DIR = "./dickens" + +if not os.path.exists(WORKING_DIR): + os.mkdir(WORKING_DIR) + +async def llm_model_func( + prompt, system_prompt=None, history_messages=[], **kwargs +) -> str: + return await openai_complete_if_cache( + "solar-mini", + prompt, + system_prompt=system_prompt, + history_messages=history_messages, + api_key=os.getenv("UPSTAGE_API_KEY"), + base_url="https://api.upstage.ai/v1/solar", + **kwargs + ) + +async def embedding_func(texts: list[str]) -> np.ndarray: + return await openai_embedding( + texts, + model="solar-embedding-1-large-query", + api_key=os.getenv("UPSTAGE_API_KEY"), + base_url="https://api.upstage.ai/v1/solar" + ) + +# function test +async def test_funcs(): + result = await llm_model_func("How are you?") + print("llm_model_func: ", result) + + result = await embedding_func(["How are you?"]) + print("embedding_func: ", result) + +asyncio.run(test_funcs()) + + +rag = LightRAG( + working_dir=WORKING_DIR, + llm_model_func=llm_model_func, + embedding_func=EmbeddingFunc( + embedding_dim=4096, + max_token_size=8192, + func=embedding_func + ) +) + + +with open("./book.txt") as f: + rag.insert(f.read()) + +# Perform naive search +print(rag.query("What are the top themes in this story?", param=QueryParam(mode="naive"))) + +# Perform local search +print(rag.query("What are the top themes in this story?", param=QueryParam(mode="local"))) + +# Perform global search +print(rag.query("What are the top themes in this story?", param=QueryParam(mode="global"))) + +# Perform hybrid search +print(rag.query("What are the top themes in this story?", param=QueryParam(mode="hybrid"))) diff --git a/lightrag/llm.py b/lightrag/llm.py index bcb7e495..d2ca5344 100644 --- a/lightrag/llm.py +++ b/lightrag/llm.py @@ -19,9 +19,12 @@ retry=retry_if_exception_type((RateLimitError, APIConnectionError, Timeout)), ) async def openai_complete_if_cache( - model, prompt, system_prompt=None, history_messages=[], **kwargs + model, prompt, system_prompt=None, history_messages=[], base_url=None, api_key=None, **kwargs ) -> str: - openai_async_client = AsyncOpenAI() + if api_key: + os.environ["OPENAI_API_KEY"] = api_key + + openai_async_client = AsyncOpenAI() if base_url is None else AsyncOpenAI(base_url=base_url) hashing_kv: BaseKVStorage = kwargs.pop("hashing_kv", None) messages = [] if system_prompt: @@ -133,10 +136,13 @@ async def hf_model_complete( wait=wait_exponential(multiplier=1, min=4, max=10), retry=retry_if_exception_type((RateLimitError, APIConnectionError, Timeout)), ) -async def openai_embedding(texts: list[str]) -> np.ndarray: - openai_async_client = AsyncOpenAI() +async def openai_embedding(texts: list[str], model: str = "text-embedding-3-small", base_url: str = None, api_key: str = None) -> np.ndarray: + if api_key: + os.environ["OPENAI_API_KEY"] = api_key + + openai_async_client = AsyncOpenAI() if base_url is None else AsyncOpenAI(base_url=base_url) response = await openai_async_client.embeddings.create( - model="text-embedding-3-small", input=texts, encoding_format="float" + model=model, input=texts, encoding_format="float" ) return np.array([dp.embedding for dp in response.data]) From 92c11179fe3fc828c49bb4e566b5d293cc41f265 Mon Sep 17 00:00:00 2001 From: LarFii <834462287@qq.com> Date: Wed, 16 Oct 2024 15:15:10 +0800 Subject: [PATCH 040/258] ollama test --- examples/lightrag_ollama_demo.py | 40 +++++++++++++++++++++++++ lightrag/__init__.py | 2 +- lightrag/lightrag.py | 2 +- lightrag/llm.py | 50 ++++++++++++++++++++++++++++++-- requirements.txt | 3 ++ setup.py | 2 +- 6 files changed, 94 insertions(+), 5 deletions(-) create mode 100644 examples/lightrag_ollama_demo.py diff --git a/examples/lightrag_ollama_demo.py b/examples/lightrag_ollama_demo.py new file mode 100644 index 00000000..a2d04aa6 --- /dev/null +++ b/examples/lightrag_ollama_demo.py @@ -0,0 +1,40 @@ +import os + +from lightrag import LightRAG, QueryParam +from lightrag.llm import ollama_model_complete, ollama_embedding +from lightrag.utils import EmbeddingFunc + +WORKING_DIR = "./dickens" + +if not os.path.exists(WORKING_DIR): + os.mkdir(WORKING_DIR) + +rag = LightRAG( + working_dir=WORKING_DIR, + llm_model_func=ollama_model_complete, + llm_model_name='your_model_name', + embedding_func=EmbeddingFunc( + embedding_dim=768, + max_token_size=8192, + func=lambda texts: ollama_embedding( + texts, + embed_model="nomic-embed-text" + ) + ), +) + + +with open("./book.txt") as f: + rag.insert(f.read()) + +# Perform naive search +print(rag.query("What are the top themes in this story?", param=QueryParam(mode="naive"))) + +# Perform local search +print(rag.query("What are the top themes in this story?", param=QueryParam(mode="local"))) + +# Perform global search +print(rag.query("What are the top themes in this story?", param=QueryParam(mode="global"))) + +# Perform hybrid search +print(rag.query("What are the top themes in this story?", param=QueryParam(mode="hybrid"))) diff --git a/lightrag/__init__.py b/lightrag/__init__.py index dc8faa6a..b6b953f1 100644 --- a/lightrag/__init__.py +++ b/lightrag/__init__.py @@ -1,5 +1,5 @@ from .lightrag import LightRAG, QueryParam -__version__ = "0.0.5" +__version__ = "0.0.6" __author__ = "Zirui Guo" __url__ = "https://github.com/HKUDS/LightRAG" diff --git a/lightrag/lightrag.py b/lightrag/lightrag.py index 0d50a13d..83312ef6 100644 --- a/lightrag/lightrag.py +++ b/lightrag/lightrag.py @@ -6,7 +6,7 @@ from typing import Type, cast, Any from transformers import AutoModel,AutoTokenizer, AutoModelForCausalLM -from .llm import gpt_4o_complete, gpt_4o_mini_complete, openai_embedding,hf_model_complete,hf_embedding +from .llm import gpt_4o_complete, gpt_4o_mini_complete, openai_embedding, hf_model_complete, hf_embedding from .operate import ( chunking_by_token_size, extract_entities, diff --git a/lightrag/llm.py b/lightrag/llm.py index d2ca5344..7328a583 100644 --- a/lightrag/llm.py +++ b/lightrag/llm.py @@ -1,5 +1,6 @@ import os import numpy as np +import ollama from openai import AsyncOpenAI, APIConnectionError, RateLimitError, Timeout from tenacity import ( retry, @@ -92,6 +93,34 @@ async def hf_model_if_cache( ) return response_text +async def ollama_model_if_cache( + model, prompt, system_prompt=None, history_messages=[], **kwargs +) -> str: + kwargs.pop("max_tokens", None) + kwargs.pop("response_format", None) + + ollama_client = ollama.AsyncClient() + messages = [] + if system_prompt: + messages.append({"role": "system", "content": system_prompt}) + + hashing_kv: BaseKVStorage = kwargs.pop("hashing_kv", None) + messages.extend(history_messages) + messages.append({"role": "user", "content": prompt}) + if hashing_kv is not None: + args_hash = compute_args_hash(model, messages) + if_cache_return = await hashing_kv.get_by_id(args_hash) + if if_cache_return is not None: + return if_cache_return["return"] + + response = await ollama_client.chat(model=model, messages=messages, **kwargs) + + result = response["message"]["content"] + + if hashing_kv is not None: + await hashing_kv.upsert({args_hash: {"return": result, "model": model}}) + + return result async def gpt_4o_complete( prompt, system_prompt=None, history_messages=[], **kwargs @@ -116,8 +145,6 @@ async def gpt_4o_mini_complete( **kwargs, ) - - async def hf_model_complete( prompt, system_prompt=None, history_messages=[], **kwargs ) -> str: @@ -130,6 +157,18 @@ async def hf_model_complete( **kwargs, ) +async def ollama_model_complete( + prompt, system_prompt=None, history_messages=[], **kwargs +) -> str: + model_name = kwargs['hashing_kv'].global_config['llm_model_name'] + return await ollama_model_if_cache( + model_name, + prompt, + system_prompt=system_prompt, + history_messages=history_messages, + **kwargs, + ) + @wrap_embedding_func_with_attrs(embedding_dim=1536, max_token_size=8192) @retry( stop=stop_after_attempt(3), @@ -154,6 +193,13 @@ async def hf_embedding(texts: list[str], tokenizer, embed_model) -> np.ndarray: embeddings = outputs.last_hidden_state.mean(dim=1) return embeddings.detach().numpy() +async def ollama_embedding(texts: list[str], embed_model) -> np.ndarray: + embed_text = [] + for text in texts: + data = ollama.embeddings(model=embed_model, prompt=text) + embed_text.append(data["embedding"]) + + return embed_text if __name__ == "__main__": import asyncio diff --git a/requirements.txt b/requirements.txt index 8a74d5e2..52edd151 100644 --- a/requirements.txt +++ b/requirements.txt @@ -6,3 +6,6 @@ nano-vectordb hnswlib xxhash tenacity +transformers +torch +ollama \ No newline at end of file diff --git a/setup.py b/setup.py index 849fabfe..47222420 100644 --- a/setup.py +++ b/setup.py @@ -1,6 +1,6 @@ import setuptools -with open("README.md", "r") as fh: +with open("README.md", "r", encoding="utf-8") as fh: long_description = fh.read() From e152cd20ecc5680a56acdacd764961c3cc95e2cb Mon Sep 17 00:00:00 2001 From: LarFii <834462287@qq.com> Date: Wed, 16 Oct 2024 15:33:59 +0800 Subject: [PATCH 041/258] update README.md --- README.md | 33 ++++++++++++++++++++++++++++----- 1 file changed, 28 insertions(+), 5 deletions(-) diff --git a/README.md b/README.md index 39de81bc..6dedff97 100644 --- a/README.md +++ b/README.md @@ -7,7 +7,6 @@

-

@@ -21,6 +20,7 @@ This repository hosts the code of LightRAG. The structure of this code is based

## 🎉 News +- [x] [2024.10.16]🎯🎯📢📢LightRAG now supports Ollama models! - [x] [2024.10.15]🎯🎯📢📢LightRAG now supports Hugging Face models! ## Install @@ -37,7 +37,7 @@ pip install lightrag-hku ``` ## Quick Start - +* All the code can be found in the `examples`. * Set OpenAI API key in environment if using OpenAI models: `export OPENAI_API_KEY="sk-...".` * Download the demo text "A Christmas Carol by Charles Dickens": ```bash @@ -84,7 +84,7 @@ from transformers import AutoModel, AutoTokenizer # Initialize LightRAG with Hugging Face model rag = LightRAG( working_dir=WORKING_DIR, - llm_model_func=hf_model_complete, # Use Hugging Face complete model for text generation + llm_model_func=hf_model_complete, # Use Hugging Face model for text generation llm_model_name='meta-llama/Llama-3.1-8B-Instruct', # Model name from Hugging Face # Use Hugging Face embedding function embedding_func=EmbeddingFunc( @@ -98,6 +98,27 @@ rag = LightRAG( ), ) ``` +### Using Ollama Models +If you want to use Ollama models, you only need to set LightRAG as follows: +```python +from lightrag.llm import ollama_model_complete, ollama_embedding + +# Initialize LightRAG with Ollama model +rag = LightRAG( + working_dir=WORKING_DIR, + llm_model_func=ollama_model_complete, # Use Ollama model for text generation + llm_model_name='your_model_name', # Your model name + # Use Ollama embedding function + embedding_func=EmbeddingFunc( + embedding_dim=768, + max_token_size=8192, + func=lambda texts: ollama_embedding( + texts, + embed_model="nomic-embed-text" + ) + ), +) +``` ### Batch Insert ```python # Batch Insert: Insert multiple texts at once @@ -326,8 +347,10 @@ def extract_queries(file_path): ├── examples │ ├── batch_eval.py │ ├── generate_query.py -│ ├── lightrag_openai_demo.py -│ └── lightrag_hf_demo.py +│ ├── lightrag_hf_demo.py +│ ├── lightrag_ollama_demo.py +│ ├── lightrag_openai_compatible_demo.py +│ └── lightrag_openai_demo.py ├── lightrag │ ├── __init__.py │ ├── base.py From 83d2faca7911dc9c7a15cd9328860cc366ad4ca2 Mon Sep 17 00:00:00 2001 From: LarFii <834462287@qq.com> Date: Wed, 16 Oct 2024 17:37:11 +0800 Subject: [PATCH 042/258] update requirements.txt --- requirements.txt | 3 ++- 1 file changed, 2 insertions(+), 1 deletion(-) diff --git a/requirements.txt b/requirements.txt index 52edd151..f7dcd787 100644 --- a/requirements.txt +++ b/requirements.txt @@ -8,4 +8,5 @@ xxhash tenacity transformers torch -ollama \ No newline at end of file +ollama +accelerate \ No newline at end of file From 3abb0358a61c51c5ed83fca734ae63a820d4e8fa Mon Sep 17 00:00:00 2001 From: LarFii <834462287@qq.com> Date: Wed, 16 Oct 2024 17:45:49 +0800 Subject: [PATCH 043/258] update README.md --- README.md | 47 +++++++++++++++++++++++++++++++++++++++++++++-- 1 file changed, 45 insertions(+), 2 deletions(-) diff --git a/README.md b/README.md index 6dedff97..358115c0 100644 --- a/README.md +++ b/README.md @@ -20,8 +20,8 @@ This repository hosts the code of LightRAG. The structure of this code is based
## 🎉 News -- [x] [2024.10.16]🎯🎯📢📢LightRAG now supports Ollama models! -- [x] [2024.10.15]🎯🎯📢📢LightRAG now supports Hugging Face models! +- [x] [2024.10.16]🎯🎯📢📢LightRAG now supports [Ollama models](https://github.com/HKUDS/LightRAG?tab=readme-ov-file#using-ollama-models)! +- [x] [2024.10.15]🎯🎯📢📢LightRAG now supports [Hugging Face models](https://github.com/HKUDS/LightRAG?tab=readme-ov-file#using-hugging-face-models)! ## Install @@ -75,6 +75,42 @@ print(rag.query("What are the top themes in this story?", param=QueryParam(mode= # Perform hybrid search print(rag.query("What are the top themes in this story?", param=QueryParam(mode="hybrid"))) ``` + +### Open AI-like APIs +LightRAG also support Open AI-like chat/embeddings APIs: +```python +async def llm_model_func( + prompt, system_prompt=None, history_messages=[], **kwargs +) -> str: + return await openai_complete_if_cache( + "solar-mini", + prompt, + system_prompt=system_prompt, + history_messages=history_messages, + api_key=os.getenv("UPSTAGE_API_KEY"), + base_url="https://api.upstage.ai/v1/solar", + **kwargs + ) + +async def embedding_func(texts: list[str]) -> np.ndarray: + return await openai_embedding( + texts, + model="solar-embedding-1-large-query", + api_key=os.getenv("UPSTAGE_API_KEY"), + base_url="https://api.upstage.ai/v1/solar" + ) + +rag = LightRAG( + working_dir=WORKING_DIR, + llm_model_func=llm_model_func, + embedding_func=EmbeddingFunc( + embedding_dim=4096, + max_token_size=8192, + func=embedding_func + ) +) +``` + ### Using Hugging Face Models If you want to use Hugging Face models, you only need to set LightRAG as follows: ```python @@ -98,6 +134,7 @@ rag = LightRAG( ), ) ``` + ### Using Ollama Models If you want to use Ollama models, you only need to set LightRAG as follows: ```python @@ -119,11 +156,13 @@ rag = LightRAG( ), ) ``` + ### Batch Insert ```python # Batch Insert: Insert multiple texts at once rag.insert(["TEXT1", "TEXT2",...]) ``` + ### Incremental Insert ```python @@ -207,6 +246,7 @@ Output your evaluation in the following JSON format: }} }} ``` + ### Overall Performance Table | | **Agriculture** | | **CS** | | **Legal** | | **Mix** | | |----------------------|-------------------------|-----------------------|-----------------------|-----------------------|-----------------------|-----------------------|-----------------------|-----------------------| @@ -233,6 +273,7 @@ Output your evaluation in the following JSON format: ## Reproduce All the code can be found in the `./reproduce` directory. + ### Step-0 Extract Unique Contexts First, we need to extract unique contexts in the datasets. ```python @@ -286,6 +327,7 @@ def extract_unique_contexts(input_directory, output_directory): print("All files have been processed.") ``` + ### Step-1 Insert Contexts For the extracted contexts, we insert them into the LightRAG system. @@ -307,6 +349,7 @@ def insert_text(rag, file_path): if retries == max_retries: print("Insertion failed after exceeding the maximum number of retries") ``` + ### Step-2 Generate Queries We extract tokens from both the first half and the second half of each context in the dataset, then combine them as the dataset description to generate queries. From f59b399656f282aabe140c1e58c7110b827b749e Mon Sep 17 00:00:00 2001 From: zhangjiawei Date: Wed, 16 Oct 2024 18:10:28 +0800 Subject: [PATCH 044/258] setup encoding modify --- setup.py | 2 +- 1 file changed, 1 insertion(+), 1 deletion(-) diff --git a/setup.py b/setup.py index 849fabfe..47222420 100644 --- a/setup.py +++ b/setup.py @@ -1,6 +1,6 @@ import setuptools -with open("README.md", "r") as fh: +with open("README.md", "r", encoding="utf-8") as fh: long_description = fh.read() From 090026463c336496f2bf2a93363f010e86bbb851 Mon Sep 17 00:00:00 2001 From: zrguo <49157727+LarFii@users.noreply.github.com> Date: Wed, 16 Oct 2024 18:24:47 +0800 Subject: [PATCH 045/258] Update README.md --- README.md | 48 +++++++++++++++++++++++++++++++++++++++++++----- 1 file changed, 43 insertions(+), 5 deletions(-) diff --git a/README.md b/README.md index 358115c0..fb29945b 100644 --- a/README.md +++ b/README.md @@ -20,8 +20,8 @@ This repository hosts the code of LightRAG. The structure of this code is based ## 🎉 News -- [x] [2024.10.16]🎯🎯📢📢LightRAG now supports [Ollama models](https://github.com/HKUDS/LightRAG?tab=readme-ov-file#using-ollama-models)! -- [x] [2024.10.15]🎯🎯📢📢LightRAG now supports [Hugging Face models](https://github.com/HKUDS/LightRAG?tab=readme-ov-file#using-hugging-face-models)! +- [x] [2024.10.16]🎯🎯📢📢LightRAG now supports [Ollama models](https://github.com/HKUDS/LightRAG?tab=readme-ov-file#quick-start)! +- [x] [2024.10.15]🎯🎯📢📢LightRAG now supports [Hugging Face models](https://github.com/HKUDS/LightRAG?tab=readme-ov-file#quick-start)! ## Install @@ -76,7 +76,9 @@ print(rag.query("What are the top themes in this story?", param=QueryParam(mode= print(rag.query("What are the top themes in this story?", param=QueryParam(mode="hybrid"))) ``` -### Open AI-like APIs +
+ Using Open AI-like APIs + LightRAG also support Open AI-like chat/embeddings APIs: ```python async def llm_model_func( @@ -110,8 +112,11 @@ rag = LightRAG( ) ) ``` +
-### Using Hugging Face Models +
+ Using Hugging Face Models + If you want to use Hugging Face models, you only need to set LightRAG as follows: ```python from lightrag.llm import hf_model_complete, hf_embedding @@ -134,9 +139,12 @@ rag = LightRAG( ), ) ``` +
-### Using Ollama Models +
+ Using Ollama Models If you want to use Ollama models, you only need to set LightRAG as follows: + ```python from lightrag.llm import ollama_model_complete, ollama_embedding @@ -156,6 +164,7 @@ rag = LightRAG( ), ) ``` +
### Batch Insert ```python @@ -178,6 +187,10 @@ The dataset used in LightRAG can be download from [TommyChien/UltraDomain](https ### Generate Query LightRAG uses the following prompt to generate high-level queries, with the corresponding code located in `example/generate_query.py`. + +
+ Prompt + ```python Given the following description of a dataset: @@ -201,9 +214,14 @@ Output the results in the following structure: - User 5: [user description] ... ``` +
### Batch Eval To evaluate the performance of two RAG systems on high-level queries, LightRAG uses the following prompt, with the specific code available in `example/batch_eval.py`. + +
+ Prompt + ```python ---Role--- You are an expert tasked with evaluating two answers to the same question based on three criteria: **Comprehensiveness**, **Diversity**, and **Empowerment**. @@ -246,6 +264,7 @@ Output your evaluation in the following JSON format: }} }} ``` +
### Overall Performance Table | | **Agriculture** | | **CS** | | **Legal** | | **Mix** | | @@ -276,6 +295,10 @@ All the code can be found in the `./reproduce` directory. ### Step-0 Extract Unique Contexts First, we need to extract unique contexts in the datasets. + +
+ Code + ```python def extract_unique_contexts(input_directory, output_directory): @@ -327,10 +350,14 @@ def extract_unique_contexts(input_directory, output_directory): print("All files have been processed.") ``` +
### Step-1 Insert Contexts For the extracted contexts, we insert them into the LightRAG system. +
+ Code + ```python def insert_text(rag, file_path): with open(file_path, mode='r') as f: @@ -349,10 +376,15 @@ def insert_text(rag, file_path): if retries == max_retries: print("Insertion failed after exceeding the maximum number of retries") ``` +
### Step-2 Generate Queries We extract tokens from both the first half and the second half of each context in the dataset, then combine them as the dataset description to generate queries. + +
+ Code + ```python tokenizer = GPT2Tokenizer.from_pretrained('gpt2') @@ -368,9 +400,14 @@ def get_summary(context, tot_tokens=2000): return summary ``` +
### Step-3 Query For the queries generated in Step-2, we will extract them and query LightRAG. + +
+ Code + ```python def extract_queries(file_path): with open(file_path, 'r') as f: @@ -382,6 +419,7 @@ def extract_queries(file_path): return queries ``` +
## Code Structure From 501d4cf07102906af6669e936574a1f086440fa7 Mon Sep 17 00:00:00 2001 From: zrguo <49157727+LarFii@users.noreply.github.com> Date: Thu, 17 Oct 2024 10:29:08 +0800 Subject: [PATCH 046/258] Update README.md --- README.md | 4 ++-- 1 file changed, 2 insertions(+), 2 deletions(-) diff --git a/README.md b/README.md index fb29945b..7ad8dd26 100644 --- a/README.md +++ b/README.md @@ -25,7 +25,7 @@ This repository hosts the code of LightRAG. The structure of this code is based ## Install -* Install from source +* Install from source (Recommend) ```bash cd LightRAG @@ -142,7 +142,7 @@ rag = LightRAG(
- Using Ollama Models + Using Ollama Models (There are some bugs. I'll fix them ASAP.) If you want to use Ollama models, you only need to set LightRAG as follows: ```python From ccbb69cbdf5c0c50f002be0dde26085d3e295dbb Mon Sep 17 00:00:00 2001 From: zrguo <49157727+LarFii@users.noreply.github.com> Date: Thu, 17 Oct 2024 14:39:11 +0800 Subject: [PATCH 047/258] Add Discord channel link --- README.md | 4 +++- 1 file changed, 3 insertions(+), 1 deletion(-) diff --git a/README.md b/README.md index 7ad8dd26..ff6fe44a 100644 --- a/README.md +++ b/README.md @@ -7,9 +7,10 @@

- +

+ @@ -20,6 +21,7 @@ This repository hosts the code of LightRAG. The structure of this code is based ## 🎉 News +- [x] [2024.10.17]🎯🎯📢📢We have created a [Discord channel](https://discord.gg/mvsfu2Tg)! Welcome to join for sharing and discussions! 🎉🎉 - [x] [2024.10.16]🎯🎯📢📢LightRAG now supports [Ollama models](https://github.com/HKUDS/LightRAG?tab=readme-ov-file#quick-start)! - [x] [2024.10.15]🎯🎯📢📢LightRAG now supports [Hugging Face models](https://github.com/HKUDS/LightRAG?tab=readme-ov-file#quick-start)! From 7163f70924659f06aadbc8bcc070b9940c28e42d Mon Sep 17 00:00:00 2001 From: LarFii <834462287@qq.com> Date: Thu, 17 Oct 2024 16:02:43 +0800 Subject: [PATCH 048/258] fix Ollama bugs --- README.md | 2 +- lightrag/operate.py | 81 ++++++++++++++++++++++++++------------------- 2 files changed, 48 insertions(+), 35 deletions(-) diff --git a/README.md b/README.md index ff6fe44a..fd85141b 100644 --- a/README.md +++ b/README.md @@ -144,7 +144,7 @@ rag = LightRAG(

- Using Ollama Models (There are some bugs. I'll fix them ASAP.) + Using Ollama Models If you want to use Ollama models, you only need to set LightRAG as follows: ```python diff --git a/lightrag/operate.py b/lightrag/operate.py index 3d388cb6..3a17810a 100644 --- a/lightrag/operate.py +++ b/lightrag/operate.py @@ -387,6 +387,7 @@ async def local_query( query_param: QueryParam, global_config: dict, ) -> str: + context = None use_model_func = global_config["llm_model_func"] kw_prompt_temp = PROMPTS["keywords_extraction"] @@ -399,7 +400,9 @@ async def local_query( keywords = ', '.join(keywords) except json.JSONDecodeError as e: try: - result = result.replace(kw_prompt[:-1],'').replace('user','').replace('model','').strip().strip('```').strip('json') + result = result.replace(kw_prompt[:-1],'').replace('user','').replace('model','').strip() + result = '{' + result.split('{')[1].split('}')[0] + '}' + keywords_data = json.loads(result) keywords = keywords_data.get("low_level_keywords", []) keywords = ', '.join(keywords) @@ -407,13 +410,14 @@ async def local_query( except json.JSONDecodeError as e: print(f"JSON parsing error: {e}") return PROMPTS["fail_response"] - context = await _build_local_query_context( - keywords, - knowledge_graph_inst, - entities_vdb, - text_chunks_db, - query_param, - ) + if keywords: + context = await _build_local_query_context( + keywords, + knowledge_graph_inst, + entities_vdb, + text_chunks_db, + query_param, + ) if query_param.only_need_context: return context if context is None: @@ -614,6 +618,7 @@ async def global_query( query_param: QueryParam, global_config: dict, ) -> str: + context = None use_model_func = global_config["llm_model_func"] kw_prompt_temp = PROMPTS["keywords_extraction"] @@ -626,7 +631,9 @@ async def global_query( keywords = ', '.join(keywords) except json.JSONDecodeError as e: try: - result = result.replace(kw_prompt[:-1],'').replace('user','').replace('model','').strip().strip('```').strip('json') + result = result.replace(kw_prompt[:-1],'').replace('user','').replace('model','').strip() + result = '{' + result.split('{')[1].split('}')[0] + '}' + keywords_data = json.loads(result) keywords = keywords_data.get("high_level_keywords", []) keywords = ', '.join(keywords) @@ -635,15 +642,15 @@ async def global_query( # Handle parsing error print(f"JSON parsing error: {e}") return PROMPTS["fail_response"] - - context = await _build_global_query_context( - keywords, - knowledge_graph_inst, - entities_vdb, - relationships_vdb, - text_chunks_db, - query_param, - ) + if keywords: + context = await _build_global_query_context( + keywords, + knowledge_graph_inst, + entities_vdb, + relationships_vdb, + text_chunks_db, + query_param, + ) if query_param.only_need_context: return context @@ -836,6 +843,8 @@ async def hybrid_query( query_param: QueryParam, global_config: dict, ) -> str: + low_level_context = None + high_level_context = None use_model_func = global_config["llm_model_func"] kw_prompt_temp = PROMPTS["keywords_extraction"] @@ -850,7 +859,9 @@ async def hybrid_query( ll_keywords = ', '.join(ll_keywords) except json.JSONDecodeError as e: try: - result = result.replace(kw_prompt[:-1],'').replace('user','').replace('model','').strip().strip('```').strip('json') + result = result.replace(kw_prompt[:-1],'').replace('user','').replace('model','').strip() + result = '{' + result.split('{')[1].split('}')[0] + '}' + keywords_data = json.loads(result) hl_keywords = keywords_data.get("high_level_keywords", []) ll_keywords = keywords_data.get("low_level_keywords", []) @@ -861,22 +872,24 @@ async def hybrid_query( print(f"JSON parsing error: {e}") return PROMPTS["fail_response"] - low_level_context = await _build_local_query_context( - ll_keywords, - knowledge_graph_inst, - entities_vdb, - text_chunks_db, - query_param, - ) + if ll_keywords: + low_level_context = await _build_local_query_context( + ll_keywords, + knowledge_graph_inst, + entities_vdb, + text_chunks_db, + query_param, + ) - high_level_context = await _build_global_query_context( - hl_keywords, - knowledge_graph_inst, - entities_vdb, - relationships_vdb, - text_chunks_db, - query_param, - ) + if hl_keywords: + high_level_context = await _build_global_query_context( + hl_keywords, + knowledge_graph_inst, + entities_vdb, + relationships_vdb, + text_chunks_db, + query_param, + ) context = combine_contexts(high_level_context, low_level_context) From a8f2e6a478e113e327c91c060862ff18714444dd Mon Sep 17 00:00:00 2001 From: KIM Jae Boum Date: Fri, 18 Oct 2024 06:06:47 +0800 Subject: [PATCH 049/258] update Step_3.py and openai compatible script --- reproduce/Step_1_openai_compatible.py | 66 ++++++++++++++++++ reproduce/Step_3.py | 4 +- reproduce/Step_3_openai_compatible.py | 99 +++++++++++++++++++++++++++ 3 files changed, 167 insertions(+), 2 deletions(-) create mode 100644 reproduce/Step_1_openai_compatible.py create mode 100644 reproduce/Step_3_openai_compatible.py diff --git a/reproduce/Step_1_openai_compatible.py b/reproduce/Step_1_openai_compatible.py new file mode 100644 index 00000000..b5c6aef3 --- /dev/null +++ b/reproduce/Step_1_openai_compatible.py @@ -0,0 +1,66 @@ +import os +import json +import time +import numpy as np + +from lightrag import LightRAG +from lightrag.utils import EmbeddingFunc +from lightrag.llm import openai_complete_if_cache, openai_embedding + +## For Upstage API +# please check if embedding_dim=4096 in lightrag.py and llm.py in lightrag direcotry +async def llm_model_func( + prompt, system_prompt=None, history_messages=[], **kwargs +) -> str: + return await openai_complete_if_cache( + "solar-mini", + prompt, + system_prompt=system_prompt, + history_messages=history_messages, + api_key=os.getenv("UPSTAGE_API_KEY"), + base_url="https://api.upstage.ai/v1/solar", + **kwargs + ) + +async def embedding_func(texts: list[str]) -> np.ndarray: + return await openai_embedding( + texts, + model="solar-embedding-1-large-query", + api_key=os.getenv("UPSTAGE_API_KEY"), + base_url="https://api.upstage.ai/v1/solar" + ) +## /For Upstage API + +def insert_text(rag, file_path): + with open(file_path, mode='r') as f: + unique_contexts = json.load(f) + + retries = 0 + max_retries = 3 + while retries < max_retries: + try: + rag.insert(unique_contexts) + break + except Exception as e: + retries += 1 + print(f"Insertion failed, retrying ({retries}/{max_retries}), error: {e}") + time.sleep(10) + if retries == max_retries: + print("Insertion failed after exceeding the maximum number of retries") + +cls = "mix" +WORKING_DIR = f"../{cls}" + +if not os.path.exists(WORKING_DIR): + os.mkdir(WORKING_DIR) + +rag = LightRAG(working_dir=WORKING_DIR, + llm_model_func=llm_model_func, + embedding_func=EmbeddingFunc( + embedding_dim=4096, + max_token_size=8192, + func=embedding_func + ) + ) + +insert_text(rag, f"../datasets/unique_contexts/{cls}_unique_contexts.json") diff --git a/reproduce/Step_3.py b/reproduce/Step_3.py index e97e2af6..a79ebd17 100644 --- a/reproduce/Step_3.py +++ b/reproduce/Step_3.py @@ -53,10 +53,10 @@ def run_queries_and_save_to_json(queries, rag_instance, query_param, output_file if __name__ == "__main__": cls = "agriculture" mode = "hybrid" - WORKING_DIR = "../{cls}" + WORKING_DIR = f"../{cls}" rag = LightRAG(working_dir=WORKING_DIR) query_param = QueryParam(mode=mode) queries = extract_queries(f"../datasets/questions/{cls}_questions.txt") - run_queries_and_save_to_json(queries, rag, query_param, "result.json", "errors.json") \ No newline at end of file + run_queries_and_save_to_json(queries, rag, query_param, f"{cls}_result.json", f"{cls}_errors.json") diff --git a/reproduce/Step_3_openai_compatible.py b/reproduce/Step_3_openai_compatible.py new file mode 100644 index 00000000..7b3079a9 --- /dev/null +++ b/reproduce/Step_3_openai_compatible.py @@ -0,0 +1,99 @@ +import os +import re +import json +import asyncio +from lightrag import LightRAG, QueryParam +from tqdm import tqdm +from lightrag.llm import openai_complete_if_cache, openai_embedding +from lightrag.utils import EmbeddingFunc +import numpy as np + +## For Upstage API +# please check if embedding_dim=4096 in lightrag.py and llm.py in lightrag direcotry +async def llm_model_func( + prompt, system_prompt=None, history_messages=[], **kwargs +) -> str: + return await openai_complete_if_cache( + "solar-mini", + prompt, + system_prompt=system_prompt, + history_messages=history_messages, + api_key=os.getenv("UPSTAGE_API_KEY"), + base_url="https://api.upstage.ai/v1/solar", + **kwargs + ) + +async def embedding_func(texts: list[str]) -> np.ndarray: + return await openai_embedding( + texts, + model="solar-embedding-1-large-query", + api_key=os.getenv("UPSTAGE_API_KEY"), + base_url="https://api.upstage.ai/v1/solar" + ) +## /For Upstage API + +def extract_queries(file_path): + with open(file_path, 'r') as f: + data = f.read() + + data = data.replace('**', '') + + queries = re.findall(r'- Question \d+: (.+)', data) + + return queries + +async def process_query(query_text, rag_instance, query_param): + try: + result, context = await rag_instance.aquery(query_text, param=query_param) + return {"query": query_text, "result": result, "context": context}, None + except Exception as e: + return None, {"query": query_text, "error": str(e)} + +def always_get_an_event_loop() -> asyncio.AbstractEventLoop: + try: + loop = asyncio.get_event_loop() + except RuntimeError: + loop = asyncio.new_event_loop() + asyncio.set_event_loop(loop) + return loop + +def run_queries_and_save_to_json(queries, rag_instance, query_param, output_file, error_file): + loop = always_get_an_event_loop() + + with open(output_file, 'a', encoding='utf-8') as result_file, open(error_file, 'a', encoding='utf-8') as err_file: + result_file.write("[\n") + first_entry = True + + for query_text in tqdm(queries, desc="Processing queries", unit="query"): + result, error = loop.run_until_complete(process_query(query_text, rag_instance, query_param)) + + if result: + if not first_entry: + result_file.write(",\n") + json.dump(result, result_file, ensure_ascii=False, indent=4) + first_entry = False + elif error: + json.dump(error, err_file, ensure_ascii=False, indent=4) + err_file.write("\n") + + result_file.write("\n]") + +if __name__ == "__main__": + cls = "mix" + mode = "hybrid" + WORKING_DIR = f"../{cls}" + + rag = LightRAG(working_dir=WORKING_DIR) + rag = LightRAG(working_dir=WORKING_DIR, + llm_model_func=llm_model_func, + embedding_func=EmbeddingFunc( + embedding_dim=4096, + max_token_size=8192, + func=embedding_func + ) + ) + query_param = QueryParam(mode=mode) + + base_dir='../datasets/questions' + queries = extract_queries(f"{base_dir}/{cls}_questions.txt") + run_queries_and_save_to_json(queries, rag, query_param, f"{base_dir}/result.json", f"{base_dir}/errors.json") From 9233cdb820b57fabee14099cf5dade2dfa14377b Mon Sep 17 00:00:00 2001 From: zrguo <49157727+LarFii@users.noreply.github.com> Date: Fri, 18 Oct 2024 12:14:14 +0800 Subject: [PATCH 050/258] Add a link to a LightRAG explanatory video --- README.md | 2 ++ 1 file changed, 2 insertions(+) diff --git a/README.md b/README.md index fd85141b..2987507d 100644 --- a/README.md +++ b/README.md @@ -6,6 +6,7 @@

+

@@ -21,6 +22,7 @@ This repository hosts the code of LightRAG. The structure of this code is based
## 🎉 News +- [x] [2024.10.18]🎯🎯📢📢We’ve added a link to a [LightRAG explanatory video](https://youtu.be/oageL-1I0GE). Thanks to the author! - [x] [2024.10.17]🎯🎯📢📢We have created a [Discord channel](https://discord.gg/mvsfu2Tg)! Welcome to join for sharing and discussions! 🎉🎉 - [x] [2024.10.16]🎯🎯📢📢LightRAG now supports [Ollama models](https://github.com/HKUDS/LightRAG?tab=readme-ov-file#quick-start)! - [x] [2024.10.15]🎯🎯📢📢LightRAG now supports [Hugging Face models](https://github.com/HKUDS/LightRAG?tab=readme-ov-file#quick-start)! From 3bc3809087234c839c69866d0a9d700a5041dce7 Mon Sep 17 00:00:00 2001 From: =?UTF-8?q?=E2=9C=A8Data=20Intelligence=20Lab=40HKU=E2=9C=A8?= <118165258+HKUDS@users.noreply.github.com> Date: Fri, 18 Oct 2024 12:45:30 +0800 Subject: [PATCH 051/258] Update README.md --- README.md | 2 +- 1 file changed, 1 insertion(+), 1 deletion(-) diff --git a/README.md b/README.md index 2987507d..d0ed8a35 100644 --- a/README.md +++ b/README.md @@ -22,7 +22,7 @@ This repository hosts the code of LightRAG. The structure of this code is based ## 🎉 News -- [x] [2024.10.18]🎯🎯📢📢We’ve added a link to a [LightRAG explanatory video](https://youtu.be/oageL-1I0GE). Thanks to the author! +- [x] [2024.10.18]🎯🎯📢📢We’ve added a link to a [LightRAG Introduction Video](https://youtu.be/oageL-1I0GE). Thanks to the author! - [x] [2024.10.17]🎯🎯📢📢We have created a [Discord channel](https://discord.gg/mvsfu2Tg)! Welcome to join for sharing and discussions! 🎉🎉 - [x] [2024.10.16]🎯🎯📢📢LightRAG now supports [Ollama models](https://github.com/HKUDS/LightRAG?tab=readme-ov-file#quick-start)! - [x] [2024.10.15]🎯🎯📢📢LightRAG now supports [Hugging Face models](https://github.com/HKUDS/LightRAG?tab=readme-ov-file#quick-start)! From 8e0877f4b0f9ea50326be5dcf8289bcdffb6442e Mon Sep 17 00:00:00 2001 From: zrguo Date: Fri, 18 Oct 2024 15:32:58 +0800 Subject: [PATCH 052/258] Create lightrag_azure_openai_demo.py --- examples/lightrag_azure_openai_demo.py | 125 +++++++++++++++++++++++++ 1 file changed, 125 insertions(+) create mode 100644 examples/lightrag_azure_openai_demo.py diff --git a/examples/lightrag_azure_openai_demo.py b/examples/lightrag_azure_openai_demo.py new file mode 100644 index 00000000..62282a25 --- /dev/null +++ b/examples/lightrag_azure_openai_demo.py @@ -0,0 +1,125 @@ +import os +import asyncio +from lightrag import LightRAG, QueryParam +from lightrag.utils import EmbeddingFunc +import numpy as np +from dotenv import load_dotenv +import aiohttp +import logging + +logging.basicConfig(level=logging.INFO) + +load_dotenv() + +AZURE_OPENAI_API_VERSION = os.getenv("AZURE_OPENAI_API_VERSION") +AZURE_OPENAI_DEPLOYMENT = os.getenv("AZURE_OPENAI_DEPLOYMENT") +AZURE_OPENAI_API_KEY = os.getenv("AZURE_OPENAI_API_KEY") +AZURE_OPENAI_ENDPOINT = os.getenv("AZURE_OPENAI_ENDPOINT") + +AZURE_EMBEDDING_DEPLOYMENT = os.getenv("AZURE_EMBEDDING_DEPLOYMENT") +AZURE_EMBEDDING_API_VERSION = os.getenv("AZURE_EMBEDDING_API_VERSION") + +WORKING_DIR = "./dickens" + +if os.path.exists(WORKING_DIR): + import shutil + + shutil.rmtree(WORKING_DIR) + +os.mkdir(WORKING_DIR) + + +async def llm_model_func( + prompt, system_prompt=None, history_messages=[], **kwargs +) -> str: + headers = { + "Content-Type": "application/json", + "api-key": AZURE_OPENAI_API_KEY, + } + endpoint = f"{AZURE_OPENAI_ENDPOINT}openai/deployments/{AZURE_OPENAI_DEPLOYMENT}/chat/completions?api-version={AZURE_OPENAI_API_VERSION}" + + messages = [] + if system_prompt: + messages.append({"role": "system", "content": system_prompt}) + if history_messages: + messages.extend(history_messages) + messages.append({"role": "user", "content": prompt}) + + payload = { + "messages": messages, + "temperature": kwargs.get("temperature", 0), + "top_p": kwargs.get("top_p", 1), + "n": kwargs.get("n", 1), + } + + async with aiohttp.ClientSession() as session: + async with session.post(endpoint, headers=headers, json=payload) as response: + if response.status != 200: + raise ValueError( + f"Request failed with status {response.status}: {await response.text()}" + ) + result = await response.json() + return result["choices"][0]["message"]["content"] + + +async def embedding_func(texts: list[str]) -> np.ndarray: + headers = { + "Content-Type": "application/json", + "api-key": AZURE_OPENAI_API_KEY, + } + endpoint = f"{AZURE_OPENAI_ENDPOINT}openai/deployments/{AZURE_EMBEDDING_DEPLOYMENT}/embeddings?api-version={AZURE_EMBEDDING_API_VERSION}" + + payload = {"input": texts} + + async with aiohttp.ClientSession() as session: + async with session.post(endpoint, headers=headers, json=payload) as response: + if response.status != 200: + raise ValueError( + f"Request failed with status {response.status}: {await response.text()}" + ) + result = await response.json() + embeddings = [item["embedding"] for item in result["data"]] + return np.array(embeddings) + + +async def test_funcs(): + result = await llm_model_func("How are you?") + print("Resposta do llm_model_func: ", result) + + result = await embedding_func(["How are you?"]) + print("Resultado do embedding_func: ", result.shape) + print("Dimensão da embedding: ", result.shape[1]) + + +asyncio.run(test_funcs()) + +embedding_dimension = 3072 + +rag = LightRAG( + working_dir=WORKING_DIR, + llm_model_func=llm_model_func, + embedding_func=EmbeddingFunc( + embedding_dim=embedding_dimension, + max_token_size=8192, + func=embedding_func, + ), +) + +book1 = open("./book_1.txt", encoding="utf-8") +book2 = open("./book_2.txt", encoding="utf-8") + +rag.insert([book1.read(), book2.read()]) + +query_text = "What are the main themes?" + +print("Result (Naive):") +print(rag.query(query_text, param=QueryParam(mode="naive"))) + +print("\nResult (Local):") +print(rag.query(query_text, param=QueryParam(mode="local"))) + +print("\nResult (Global):") +print(rag.query(query_text, param=QueryParam(mode="global"))) + +print("\nResult (Hybrid):") +print(rag.query(query_text, param=QueryParam(mode="hybrid"))) \ No newline at end of file From f49de420cf5a674c9f85cecbc44683623bfd1539 Mon Sep 17 00:00:00 2001 From: zrguo Date: Fri, 18 Oct 2024 15:33:11 +0800 Subject: [PATCH 053/258] Update operate.py --- lightrag/operate.py | 4 ++-- 1 file changed, 2 insertions(+), 2 deletions(-) diff --git a/lightrag/operate.py b/lightrag/operate.py index 3a17810a..930ceb2a 100644 --- a/lightrag/operate.py +++ b/lightrag/operate.py @@ -76,7 +76,7 @@ async def _handle_single_entity_extraction( record_attributes: list[str], chunk_key: str, ): - if record_attributes[0] != '"entity"' or len(record_attributes) < 4: + if len(record_attributes) < 4 or record_attributes[0] != '"entity"': return None # add this record as a node in the G entity_name = clean_str(record_attributes[1].upper()) @@ -97,7 +97,7 @@ async def _handle_single_relationship_extraction( record_attributes: list[str], chunk_key: str, ): - if record_attributes[0] != '"relationship"' or len(record_attributes) < 5: + if len(record_attributes) < 5 or record_attributes[0] != '"relationship"': return None # add this record as edge source = clean_str(record_attributes[1].upper()) From 1fc55b18d5f18db5827945e5402e8a81ba32e75b Mon Sep 17 00:00:00 2001 From: =?UTF-8?q?Jo=C3=A3o=20Galego?= Date: Fri, 18 Oct 2024 14:17:14 +0100 Subject: [PATCH 054/258] Added support for Amazon Bedrock models --- .gitignore | 4 + examples/lightrag_bedrock_demo.py | 48 +++++++++++ lightrag/llm.py | 128 ++++++++++++++++++++++++++++++ requirements.txt | 1 + 4 files changed, 181 insertions(+) create mode 100644 .gitignore create mode 100644 examples/lightrag_bedrock_demo.py diff --git a/.gitignore b/.gitignore new file mode 100644 index 00000000..cb457220 --- /dev/null +++ b/.gitignore @@ -0,0 +1,4 @@ +__pycache__ +*.egg-info +dickens/ +book.txt \ No newline at end of file diff --git a/examples/lightrag_bedrock_demo.py b/examples/lightrag_bedrock_demo.py new file mode 100644 index 00000000..36ec3857 --- /dev/null +++ b/examples/lightrag_bedrock_demo.py @@ -0,0 +1,48 @@ +""" +LightRAG meets Amazon Bedrock ⛰️ +""" + +import os + +from lightrag import LightRAG, QueryParam +from lightrag.llm import bedrock_complete, bedrock_embedding +from lightrag.utils import EmbeddingFunc + +WORKING_DIR = "./dickens" + +if not os.path.exists(WORKING_DIR): + os.mkdir(WORKING_DIR) + +rag = LightRAG( + working_dir=WORKING_DIR, + llm_model_func=bedrock_complete, + llm_model_name="anthropic.claude-3-haiku-20240307-v1:0", + node2vec_params = { + 'dimensions': 1024, + 'num_walks': 10, + 'walk_length': 40, + 'window_size': 2, + 'iterations': 3, + 'random_seed': 3 + }, + embedding_func=EmbeddingFunc( + embedding_dim=1024, + max_token_size=8192, + func=lambda texts: bedrock_embedding(texts) + ) +) + +with open("./book.txt") as f: + rag.insert(f.read()) + +# Naive search +print(rag.query("What are the top themes in this story?", param=QueryParam(mode="naive"))) + +# Local search +print(rag.query("What are the top themes in this story?", param=QueryParam(mode="local"))) + +# Global search +print(rag.query("What are the top themes in this story?", param=QueryParam(mode="global"))) + +# Hybrid search +print(rag.query("What are the top themes in this story?", param=QueryParam(mode="hybrid"))) diff --git a/lightrag/llm.py b/lightrag/llm.py index 7328a583..8fc0da2e 100644 --- a/lightrag/llm.py +++ b/lightrag/llm.py @@ -1,4 +1,6 @@ import os +import json +import aioboto3 import numpy as np import ollama from openai import AsyncOpenAI, APIConnectionError, RateLimitError, Timeout @@ -48,6 +50,54 @@ async def openai_complete_if_cache( ) return response.choices[0].message.content +@retry( + stop=stop_after_attempt(3), + wait=wait_exponential(multiplier=1, min=4, max=10), + retry=retry_if_exception_type((RateLimitError, APIConnectionError, Timeout)), +) +async def bedrock_complete_if_cache( + model, prompt, system_prompt=None, history_messages=[], base_url=None, + aws_access_key_id=None, aws_secret_access_key=None, aws_session_token=None, **kwargs +) -> str: + os.environ['AWS_ACCESS_KEY_ID'] = os.environ.get('AWS_ACCESS_KEY_ID', aws_access_key_id) + os.environ['AWS_SECRET_ACCESS_KEY'] = os.environ.get('AWS_SECRET_ACCESS_KEY', aws_secret_access_key) + os.environ['AWS_SESSION_TOKEN'] = os.environ.get('AWS_SESSION_TOKEN', aws_session_token) + + hashing_kv: BaseKVStorage = kwargs.pop("hashing_kv", None) + + messages = [] + messages.extend(history_messages) + messages.append({'role': "user", 'content': [{'text': prompt}]}) + + args = { + 'modelId': model, + 'messages': messages + } + + if system_prompt: + args['system'] = [{'text': system_prompt}] + + if hashing_kv is not None: + args_hash = compute_args_hash(model, messages) + if_cache_return = await hashing_kv.get_by_id(args_hash) + if if_cache_return is not None: + return if_cache_return["return"] + + session = aioboto3.Session() + async with session.client("bedrock-runtime") as bedrock_async_client: + + response = await bedrock_async_client.converse(**args, **kwargs) + + if hashing_kv is not None: + await hashing_kv.upsert({ + args_hash: { + 'return': response['output']['message']['content'][0]['text'], + 'model': model + } + }) + + return response['output']['message']['content'][0]['text'] + async def hf_model_if_cache( model, prompt, system_prompt=None, history_messages=[], **kwargs ) -> str: @@ -145,6 +195,19 @@ async def gpt_4o_mini_complete( **kwargs, ) + +async def bedrock_complete( + prompt, system_prompt=None, history_messages=[], **kwargs +) -> str: + return await bedrock_complete_if_cache( + "anthropic.claude-3-sonnet-20240229-v1:0", + prompt, + system_prompt=system_prompt, + history_messages=history_messages, + **kwargs, + ) + + async def hf_model_complete( prompt, system_prompt=None, history_messages=[], **kwargs ) -> str: @@ -186,6 +249,71 @@ async def openai_embedding(texts: list[str], model: str = "text-embedding-3-smal return np.array([dp.embedding for dp in response.data]) +# @wrap_embedding_func_with_attrs(embedding_dim=1024, max_token_size=8192) +# @retry( +# stop=stop_after_attempt(3), +# wait=wait_exponential(multiplier=1, min=4, max=10), +# retry=retry_if_exception_type((RateLimitError, APIConnectionError, Timeout)), # TODO: fix exceptions +# ) +async def bedrock_embedding( + texts: list[str], model: str = "amazon.titan-embed-text-v2:0", + aws_access_key_id=None, aws_secret_access_key=None, aws_session_token=None) -> np.ndarray: + os.environ['AWS_ACCESS_KEY_ID'] = os.environ.get('AWS_ACCESS_KEY_ID', aws_access_key_id) + os.environ['AWS_SECRET_ACCESS_KEY'] = os.environ.get('AWS_SECRET_ACCESS_KEY', aws_secret_access_key) + os.environ['AWS_SESSION_TOKEN'] = os.environ.get('AWS_SESSION_TOKEN', aws_session_token) + + session = aioboto3.Session() + async with session.client("bedrock-runtime") as bedrock_async_client: + + if (model_provider := model.split(".")[0]) == "amazon": + embed_texts = [] + for text in texts: + if "v2" in model: + body = json.dumps({ + 'inputText': text, + # 'dimensions': embedding_dim, + 'embeddingTypes': ["float"] + }) + elif "v1" in model: + body = json.dumps({ + 'inputText': text + }) + else: + raise ValueError(f"Model {model} is not supported!") + + response = await bedrock_async_client.invoke_model( + modelId=model, + body=body, + accept="application/json", + contentType="application/json" + ) + + response_body = await response.get('body').json() + + embed_texts.append(response_body['embedding']) + elif model_provider == "cohere": + body = json.dumps({ + 'texts': texts, + 'input_type': "search_document", + 'truncate': "NONE" + }) + + response = await bedrock_async_client.invoke_model( + model=model, + body=body, + accept="application/json", + contentType="application/json" + ) + + response_body = json.loads(response.get('body').read()) + + embed_texts = response_body['embeddings'] + else: + raise ValueError(f"Model provider '{model_provider}' is not supported!") + + return np.array(embed_texts) + + async def hf_embedding(texts: list[str], tokenizer, embed_model) -> np.ndarray: input_ids = tokenizer(texts, return_tensors='pt', padding=True, truncation=True).input_ids with torch.no_grad(): diff --git a/requirements.txt b/requirements.txt index f7dcd787..a1054692 100644 --- a/requirements.txt +++ b/requirements.txt @@ -1,3 +1,4 @@ +aioboto3 openai tiktoken networkx From 37d713a5c816cf5a20af86cee35ff667a99ed269 Mon Sep 17 00:00:00 2001 From: =?UTF-8?q?Jo=C3=A3o=20Galego?= Date: Fri, 18 Oct 2024 16:50:02 +0100 Subject: [PATCH 055/258] Fixed retry strategy, message history and inference params; Cleaned up Bedrock example --- examples/lightrag_bedrock_demo.py | 39 +++++++++++-------------- lightrag/llm.py | 48 +++++++++++++++++++++++++------ 2 files changed, 55 insertions(+), 32 deletions(-) diff --git a/examples/lightrag_bedrock_demo.py b/examples/lightrag_bedrock_demo.py index 36ec3857..c515922e 100644 --- a/examples/lightrag_bedrock_demo.py +++ b/examples/lightrag_bedrock_demo.py @@ -3,46 +3,39 @@ """ import os +import logging from lightrag import LightRAG, QueryParam from lightrag.llm import bedrock_complete, bedrock_embedding from lightrag.utils import EmbeddingFunc -WORKING_DIR = "./dickens" +logging.getLogger("aiobotocore").setLevel(logging.WARNING) +WORKING_DIR = "./dickens" if not os.path.exists(WORKING_DIR): os.mkdir(WORKING_DIR) rag = LightRAG( working_dir=WORKING_DIR, llm_model_func=bedrock_complete, - llm_model_name="anthropic.claude-3-haiku-20240307-v1:0", - node2vec_params = { - 'dimensions': 1024, - 'num_walks': 10, - 'walk_length': 40, - 'window_size': 2, - 'iterations': 3, - 'random_seed': 3 - }, + llm_model_name="Anthropic Claude 3 Haiku // Amazon Bedrock", embedding_func=EmbeddingFunc( embedding_dim=1024, max_token_size=8192, - func=lambda texts: bedrock_embedding(texts) + func=bedrock_embedding ) ) -with open("./book.txt") as f: +with open("./book.txt", 'r', encoding='utf-8') as f: rag.insert(f.read()) -# Naive search -print(rag.query("What are the top themes in this story?", param=QueryParam(mode="naive"))) - -# Local search -print(rag.query("What are the top themes in this story?", param=QueryParam(mode="local"))) - -# Global search -print(rag.query("What are the top themes in this story?", param=QueryParam(mode="global"))) - -# Hybrid search -print(rag.query("What are the top themes in this story?", param=QueryParam(mode="hybrid"))) +for mode in ["naive", "local", "global", "hybrid"]: + print("\n+-" + "-" * len(mode) + "-+") + print(f"| {mode.capitalize()} |") + print("+-" + "-" * len(mode) + "-+\n") + print( + rag.query( + "What are the top themes in this story?", + param=QueryParam(mode=mode) + ) + ) diff --git a/lightrag/llm.py b/lightrag/llm.py index 8fc0da2e..48defb4d 100644 --- a/lightrag/llm.py +++ b/lightrag/llm.py @@ -1,6 +1,9 @@ import os +import copy import json +import botocore import aioboto3 +import botocore.errorfactory import numpy as np import ollama from openai import AsyncOpenAI, APIConnectionError, RateLimitError, Timeout @@ -50,43 +53,70 @@ async def openai_complete_if_cache( ) return response.choices[0].message.content + +class BedrockError(Exception): + """Generic error for issues related to Amazon Bedrock""" + + @retry( - stop=stop_after_attempt(3), - wait=wait_exponential(multiplier=1, min=4, max=10), - retry=retry_if_exception_type((RateLimitError, APIConnectionError, Timeout)), + stop=stop_after_attempt(5), + wait=wait_exponential(multiplier=1, max=60), + retry=retry_if_exception_type((BedrockError)), ) async def bedrock_complete_if_cache( - model, prompt, system_prompt=None, history_messages=[], base_url=None, + model, prompt, system_prompt=None, history_messages=[], aws_access_key_id=None, aws_secret_access_key=None, aws_session_token=None, **kwargs ) -> str: os.environ['AWS_ACCESS_KEY_ID'] = os.environ.get('AWS_ACCESS_KEY_ID', aws_access_key_id) os.environ['AWS_SECRET_ACCESS_KEY'] = os.environ.get('AWS_SECRET_ACCESS_KEY', aws_secret_access_key) os.environ['AWS_SESSION_TOKEN'] = os.environ.get('AWS_SESSION_TOKEN', aws_session_token) - hashing_kv: BaseKVStorage = kwargs.pop("hashing_kv", None) - + # Fix message history format messages = [] - messages.extend(history_messages) + for history_message in history_messages: + message = copy.copy(history_message) + message['content'] = [{'text': message['content']}] + messages.append(message) + + # Add user prompt messages.append({'role': "user", 'content': [{'text': prompt}]}) + # Initialize Converse API arguments args = { 'modelId': model, 'messages': messages } + # Define system prompt if system_prompt: args['system'] = [{'text': system_prompt}] + # Map and set up inference parameters + inference_params_map = { + 'max_tokens': "maxTokens", + 'top_p': "topP", + 'stop_sequences': "stopSequences" + } + if (inference_params := list(set(kwargs) & set(['max_tokens', 'temperature', 'top_p', 'stop_sequences']))): + args['inferenceConfig'] = {} + for param in inference_params: + args['inferenceConfig'][inference_params_map.get(param, param)] = kwargs.pop(param) + + hashing_kv: BaseKVStorage = kwargs.pop("hashing_kv", None) if hashing_kv is not None: args_hash = compute_args_hash(model, messages) if_cache_return = await hashing_kv.get_by_id(args_hash) if if_cache_return is not None: return if_cache_return["return"] + # Call model via Converse API session = aioboto3.Session() async with session.client("bedrock-runtime") as bedrock_async_client: - response = await bedrock_async_client.converse(**args, **kwargs) + try: + response = await bedrock_async_client.converse(**args, **kwargs) + except Exception as e: + raise BedrockError(e) if hashing_kv is not None: await hashing_kv.upsert({ @@ -200,7 +230,7 @@ async def bedrock_complete( prompt, system_prompt=None, history_messages=[], **kwargs ) -> str: return await bedrock_complete_if_cache( - "anthropic.claude-3-sonnet-20240229-v1:0", + "anthropic.claude-3-haiku-20240307-v1:0", prompt, system_prompt=system_prompt, history_messages=history_messages, From 21a5348a907950d84576051b0c365ff27f90d737 Mon Sep 17 00:00:00 2001 From: Wade Rosko <7385473+wrosko@users.noreply.github.com> Date: Fri, 18 Oct 2024 18:09:48 -0600 Subject: [PATCH 056/258] Add comment specifying jupyter req Add lines that can be uncommented if running in a jupyter notebook --- README.md | 11 ++++++++++- 1 file changed, 10 insertions(+), 1 deletion(-) diff --git a/README.md b/README.md index d0ed8a35..bd226582 100644 --- a/README.md +++ b/README.md @@ -47,12 +47,21 @@ pip install lightrag-hku ```bash curl https://raw.githubusercontent.com/gusye1234/nano-graphrag/main/tests/mock_data.txt > ./book.txt ``` -Use the below Python snippet to initialize LightRAG and perform queries: +Use the below Python snippet (in a script) to initialize LightRAG and perform queries: ```python from lightrag import LightRAG, QueryParam from lightrag.llm import gpt_4o_mini_complete, gpt_4o_complete +######### +# Uncomment the below two lines if running in a jupyter notebook to handle the async nature of rag.insert() +# import nest_asyncio +# nest_asyncio.apply() +######### + +WORKING_DIR = "./dickens" + + WORKING_DIR = "./dickens" if not os.path.exists(WORKING_DIR): From 515b890aab22773f116ac325f5c9bd54e1121a82 Mon Sep 17 00:00:00 2001 From: zrguo <49157727+LarFii@users.noreply.github.com> Date: Sat, 19 Oct 2024 11:46:03 +0800 Subject: [PATCH 057/258] fix prompt.py --- lightrag/prompt.py | 15 --------------- 1 file changed, 15 deletions(-) diff --git a/lightrag/prompt.py b/lightrag/prompt.py index 5d28e49c..67d52d63 100644 --- a/lightrag/prompt.py +++ b/lightrag/prompt.py @@ -163,25 +163,10 @@ {response_type} - ---Data tables--- {context_data} - ----Goal--- - -Generate a response of the target length and format that responds to the user's question, summarizing all information in the input data tables appropriate for the response length and format, and incorporating any relevant general knowledge. - -If you don't know the answer, just say so. Do not make anything up. - -Do not include information where the supporting evidence for it is not provided. - - ----Target response length and format--- - -{response_type} - Add sections and commentary to the response as appropriate for the length and format. Style the response in markdown. """ From 32464fab4e3b30af41ddf2928642a1a12b2b2c5b Mon Sep 17 00:00:00 2001 From: Sanketh Kumar Date: Sat, 19 Oct 2024 09:43:17 +0530 Subject: [PATCH 058/258] chore: added pre-commit-hooks and ruff formatting for commit-hooks --- .gitignore | 3 +- .pre-commit-config.yaml | 22 ++ README.md | 50 ++--- examples/batch_eval.py | 38 ++-- examples/generate_query.py | 9 +- examples/lightrag_azure_openai_demo.py | 2 +- examples/lightrag_bedrock_demo.py | 13 +- examples/lightrag_hf_demo.py | 35 ++- examples/lightrag_ollama_demo.py | 25 ++- examples/lightrag_openai_compatible_demo.py | 32 ++- examples/lightrag_openai_demo.py | 22 +- lightrag/__init__.py | 2 +- lightrag/base.py | 11 +- lightrag/lightrag.py | 65 +++--- lightrag/llm.py | 223 ++++++++++++------- lightrag/operate.py | 229 +++++++++++++------- lightrag/prompt.py | 14 +- lightrag/storage.py | 15 +- lightrag/utils.py | 28 ++- reproduce/Step_0.py | 24 +- reproduce/Step_1.py | 8 +- reproduce/Step_1_openai_compatible.py | 29 ++- reproduce/Step_2.py | 20 +- reproduce/Step_3.py | 29 ++- reproduce/Step_3_openai_compatible.py | 54 +++-- requirements.txt | 16 +- 26 files changed, 630 insertions(+), 388 deletions(-) create mode 100644 .pre-commit-config.yaml diff --git a/.gitignore b/.gitignore index cb457220..50f384ec 100644 --- a/.gitignore +++ b/.gitignore @@ -1,4 +1,5 @@ __pycache__ *.egg-info dickens/ -book.txt \ No newline at end of file +book.txt +lightrag-dev/ diff --git a/.pre-commit-config.yaml b/.pre-commit-config.yaml new file mode 100644 index 00000000..db531bb6 --- /dev/null +++ b/.pre-commit-config.yaml @@ -0,0 +1,22 @@ +repos: + - repo: https://github.com/pre-commit/pre-commit-hooks + rev: v5.0.0 + hooks: + - id: trailing-whitespace + - id: end-of-file-fixer + - id: requirements-txt-fixer + + + - repo: https://github.com/astral-sh/ruff-pre-commit + rev: v0.6.4 + hooks: + - id: ruff-format + - id: ruff + args: [--fix] + + + - repo: https://github.com/mgedmin/check-manifest + rev: "0.49" + hooks: + - id: check-manifest + stages: [manual] diff --git a/README.md b/README.md index d0ed8a35..b3a04957 100644 --- a/README.md +++ b/README.md @@ -16,16 +16,16 @@

- + This repository hosts the code of LightRAG. The structure of this code is based on [nano-graphrag](https://github.com/gusye1234/nano-graphrag). ![请添加图片描述](https://i-blog.csdnimg.cn/direct/b2aaf634151b4706892693ffb43d9093.png) -## 🎉 News +## 🎉 News - [x] [2024.10.18]🎯🎯📢📢We’ve added a link to a [LightRAG Introduction Video](https://youtu.be/oageL-1I0GE). Thanks to the author! - [x] [2024.10.17]🎯🎯📢📢We have created a [Discord channel](https://discord.gg/mvsfu2Tg)! Welcome to join for sharing and discussions! 🎉🎉 -- [x] [2024.10.16]🎯🎯📢📢LightRAG now supports [Ollama models](https://github.com/HKUDS/LightRAG?tab=readme-ov-file#quick-start)! -- [x] [2024.10.15]🎯🎯📢📢LightRAG now supports [Hugging Face models](https://github.com/HKUDS/LightRAG?tab=readme-ov-file#quick-start)! +- [x] [2024.10.16]🎯🎯📢📢LightRAG now supports [Ollama models](https://github.com/HKUDS/LightRAG?tab=readme-ov-file#quick-start)! +- [x] [2024.10.15]🎯🎯📢📢LightRAG now supports [Hugging Face models](https://github.com/HKUDS/LightRAG?tab=readme-ov-file#quick-start)! ## Install @@ -83,7 +83,7 @@ print(rag.query("What are the top themes in this story?", param=QueryParam(mode=
Using Open AI-like APIs -LightRAG also support Open AI-like chat/embeddings APIs: +LightRAG also supports Open AI-like chat/embeddings APIs: ```python async def llm_model_func( prompt, system_prompt=None, history_messages=[], **kwargs @@ -120,7 +120,7 @@ rag = LightRAG(
Using Hugging Face Models - + If you want to use Hugging Face models, you only need to set LightRAG as follows: ```python from lightrag.llm import hf_model_complete, hf_embedding @@ -136,7 +136,7 @@ rag = LightRAG( embedding_dim=384, max_token_size=5000, func=lambda texts: hf_embedding( - texts, + texts, tokenizer=AutoTokenizer.from_pretrained("sentence-transformers/all-MiniLM-L6-v2"), embed_model=AutoModel.from_pretrained("sentence-transformers/all-MiniLM-L6-v2") ) @@ -148,7 +148,7 @@ rag = LightRAG(
Using Ollama Models If you want to use Ollama models, you only need to set LightRAG as follows: - + ```python from lightrag.llm import ollama_model_complete, ollama_embedding @@ -162,7 +162,7 @@ rag = LightRAG( embedding_dim=768, max_token_size=8192, func=lambda texts: ollama_embedding( - texts, + texts, embed_model="nomic-embed-text" ) ), @@ -187,14 +187,14 @@ with open("./newText.txt") as f: ``` ## Evaluation ### Dataset -The dataset used in LightRAG can be download from [TommyChien/UltraDomain](https://huggingface.co/datasets/TommyChien/UltraDomain). +The dataset used in LightRAG can be downloaded from [TommyChien/UltraDomain](https://huggingface.co/datasets/TommyChien/UltraDomain). ### Generate Query -LightRAG uses the following prompt to generate high-level queries, with the corresponding code located in `example/generate_query.py`. +LightRAG uses the following prompt to generate high-level queries, with the corresponding code in `example/generate_query.py`.
Prompt - + ```python Given the following description of a dataset: @@ -219,18 +219,18 @@ Output the results in the following structure: ... ```
- + ### Batch Eval To evaluate the performance of two RAG systems on high-level queries, LightRAG uses the following prompt, with the specific code available in `example/batch_eval.py`.
Prompt - + ```python ---Role--- You are an expert tasked with evaluating two answers to the same question based on three criteria: **Comprehensiveness**, **Diversity**, and **Empowerment**. ---Goal--- -You will evaluate two answers to the same question based on three criteria: **Comprehensiveness**, **Diversity**, and **Empowerment**. +You will evaluate two answers to the same question based on three criteria: **Comprehensiveness**, **Diversity**, and **Empowerment**. - **Comprehensiveness**: How much detail does the answer provide to cover all aspects and details of the question? - **Diversity**: How varied and rich is the answer in providing different perspectives and insights on the question? @@ -294,7 +294,7 @@ Output your evaluation in the following JSON format: | **Empowerment** | 36.69% | **63.31%** | 45.09% | **54.91%** | 42.81% | **57.19%** | **52.94%** | 47.06% | | **Overall** | 43.62% | **56.38%** | 45.98% | **54.02%** | 45.70% | **54.30%** | **51.86%** | 48.14% | -## Reproduce +## Reproduce All the code can be found in the `./reproduce` directory. ### Step-0 Extract Unique Contexts @@ -302,7 +302,7 @@ First, we need to extract unique contexts in the datasets.
Code - + ```python def extract_unique_contexts(input_directory, output_directory): @@ -361,12 +361,12 @@ For the extracted contexts, we insert them into the LightRAG system.
Code - + ```python def insert_text(rag, file_path): with open(file_path, mode='r') as f: unique_contexts = json.load(f) - + retries = 0 max_retries = 3 while retries < max_retries: @@ -384,11 +384,11 @@ def insert_text(rag, file_path): ### Step-2 Generate Queries -We extract tokens from both the first half and the second half of each context in the dataset, then combine them as the dataset description to generate queries. +We extract tokens from the first and the second half of each context in the dataset, then combine them as dataset descriptions to generate queries.
Code - + ```python tokenizer = GPT2Tokenizer.from_pretrained('gpt2') @@ -401,7 +401,7 @@ def get_summary(context, tot_tokens=2000): summary_tokens = start_tokens + end_tokens summary = tokenizer.convert_tokens_to_string(summary_tokens) - + return summary ```
@@ -411,12 +411,12 @@ For the queries generated in Step-2, we will extract them and query LightRAG.
Code - + ```python def extract_queries(file_path): with open(file_path, 'r') as f: data = f.read() - + data = data.replace('**', '') queries = re.findall(r'- Question \d+: (.+)', data) @@ -470,7 +470,7 @@ def extract_queries(file_path): ```python @article{guo2024lightrag, -title={LightRAG: Simple and Fast Retrieval-Augmented Generation}, +title={LightRAG: Simple and Fast Retrieval-Augmented Generation}, author={Zirui Guo and Lianghao Xia and Yanhua Yu and Tu Ao and Chao Huang}, year={2024}, eprint={2410.05779}, diff --git a/examples/batch_eval.py b/examples/batch_eval.py index 4601d267..a85e1ede 100644 --- a/examples/batch_eval.py +++ b/examples/batch_eval.py @@ -1,4 +1,3 @@ -import os import re import json import jsonlines @@ -9,28 +8,28 @@ def batch_eval(query_file, result1_file, result2_file, output_file_path): client = OpenAI() - with open(query_file, 'r') as f: + with open(query_file, "r") as f: data = f.read() - queries = re.findall(r'- Question \d+: (.+)', data) + queries = re.findall(r"- Question \d+: (.+)", data) - with open(result1_file, 'r') as f: + with open(result1_file, "r") as f: answers1 = json.load(f) - answers1 = [i['result'] for i in answers1] + answers1 = [i["result"] for i in answers1] - with open(result2_file, 'r') as f: + with open(result2_file, "r") as f: answers2 = json.load(f) - answers2 = [i['result'] for i in answers2] + answers2 = [i["result"] for i in answers2] requests = [] for i, (query, answer1, answer2) in enumerate(zip(queries, answers1, answers2)): - sys_prompt = f""" + sys_prompt = """ ---Role--- You are an expert tasked with evaluating two answers to the same question based on three criteria: **Comprehensiveness**, **Diversity**, and **Empowerment**. """ prompt = f""" - You will evaluate two answers to the same question based on three criteria: **Comprehensiveness**, **Diversity**, and **Empowerment**. + You will evaluate two answers to the same question based on three criteria: **Comprehensiveness**, **Diversity**, and **Empowerment**. - **Comprehensiveness**: How much detail does the answer provide to cover all aspects and details of the question? - **Diversity**: How varied and rich is the answer in providing different perspectives and insights on the question? @@ -69,7 +68,6 @@ def batch_eval(query_file, result1_file, result2_file, output_file_path): }} """ - request_data = { "custom_id": f"request-{i+1}", "method": "POST", @@ -78,22 +76,21 @@ def batch_eval(query_file, result1_file, result2_file, output_file_path): "model": "gpt-4o-mini", "messages": [ {"role": "system", "content": sys_prompt}, - {"role": "user", "content": prompt} + {"role": "user", "content": prompt}, ], - } + }, } - + requests.append(request_data) - with jsonlines.open(output_file_path, mode='w') as writer: + with jsonlines.open(output_file_path, mode="w") as writer: for request in requests: writer.write(request) print(f"Batch API requests written to {output_file_path}") batch_input_file = client.files.create( - file=open(output_file_path, "rb"), - purpose="batch" + file=open(output_file_path, "rb"), purpose="batch" ) batch_input_file_id = batch_input_file.id @@ -101,12 +98,11 @@ def batch_eval(query_file, result1_file, result2_file, output_file_path): input_file_id=batch_input_file_id, endpoint="/v1/chat/completions", completion_window="24h", - metadata={ - "description": "nightly eval job" - } + metadata={"description": "nightly eval job"}, ) - print(f'Batch {batch.id} has been created.') + print(f"Batch {batch.id} has been created.") + if __name__ == "__main__": - batch_eval() \ No newline at end of file + batch_eval() diff --git a/examples/generate_query.py b/examples/generate_query.py index 0ae82f40..705b23d3 100644 --- a/examples/generate_query.py +++ b/examples/generate_query.py @@ -1,9 +1,8 @@ -import os - from openai import OpenAI # os.environ["OPENAI_API_KEY"] = "" + def openai_complete_if_cache( model="gpt-4o-mini", prompt=None, system_prompt=None, history_messages=[], **kwargs ) -> str: @@ -47,10 +46,10 @@ def openai_complete_if_cache( ... """ - result = openai_complete_if_cache(model='gpt-4o-mini', prompt=prompt) + result = openai_complete_if_cache(model="gpt-4o-mini", prompt=prompt) - file_path = f"./queries.txt" + file_path = "./queries.txt" with open(file_path, "w") as file: file.write(result) - print(f"Queries written to {file_path}") \ No newline at end of file + print(f"Queries written to {file_path}") diff --git a/examples/lightrag_azure_openai_demo.py b/examples/lightrag_azure_openai_demo.py index 62282a25..e29a6a9d 100644 --- a/examples/lightrag_azure_openai_demo.py +++ b/examples/lightrag_azure_openai_demo.py @@ -122,4 +122,4 @@ async def test_funcs(): print(rag.query(query_text, param=QueryParam(mode="global"))) print("\nResult (Hybrid):") -print(rag.query(query_text, param=QueryParam(mode="hybrid"))) \ No newline at end of file +print(rag.query(query_text, param=QueryParam(mode="hybrid"))) diff --git a/examples/lightrag_bedrock_demo.py b/examples/lightrag_bedrock_demo.py index c515922e..7e18ea57 100644 --- a/examples/lightrag_bedrock_demo.py +++ b/examples/lightrag_bedrock_demo.py @@ -20,13 +20,11 @@ llm_model_func=bedrock_complete, llm_model_name="Anthropic Claude 3 Haiku // Amazon Bedrock", embedding_func=EmbeddingFunc( - embedding_dim=1024, - max_token_size=8192, - func=bedrock_embedding - ) + embedding_dim=1024, max_token_size=8192, func=bedrock_embedding + ), ) -with open("./book.txt", 'r', encoding='utf-8') as f: +with open("./book.txt", "r", encoding="utf-8") as f: rag.insert(f.read()) for mode in ["naive", "local", "global", "hybrid"]: @@ -34,8 +32,5 @@ print(f"| {mode.capitalize()} |") print("+-" + "-" * len(mode) + "-+\n") print( - rag.query( - "What are the top themes in this story?", - param=QueryParam(mode=mode) - ) + rag.query("What are the top themes in this story?", param=QueryParam(mode=mode)) ) diff --git a/examples/lightrag_hf_demo.py b/examples/lightrag_hf_demo.py index baf62bdb..87312307 100644 --- a/examples/lightrag_hf_demo.py +++ b/examples/lightrag_hf_demo.py @@ -1,10 +1,9 @@ import os -import sys from lightrag import LightRAG, QueryParam from lightrag.llm import hf_model_complete, hf_embedding from lightrag.utils import EmbeddingFunc -from transformers import AutoModel,AutoTokenizer +from transformers import AutoModel, AutoTokenizer WORKING_DIR = "./dickens" @@ -13,16 +12,20 @@ rag = LightRAG( working_dir=WORKING_DIR, - llm_model_func=hf_model_complete, - llm_model_name='meta-llama/Llama-3.1-8B-Instruct', + llm_model_func=hf_model_complete, + llm_model_name="meta-llama/Llama-3.1-8B-Instruct", embedding_func=EmbeddingFunc( embedding_dim=384, max_token_size=5000, func=lambda texts: hf_embedding( - texts, - tokenizer=AutoTokenizer.from_pretrained("sentence-transformers/all-MiniLM-L6-v2"), - embed_model=AutoModel.from_pretrained("sentence-transformers/all-MiniLM-L6-v2") - ) + texts, + tokenizer=AutoTokenizer.from_pretrained( + "sentence-transformers/all-MiniLM-L6-v2" + ), + embed_model=AutoModel.from_pretrained( + "sentence-transformers/all-MiniLM-L6-v2" + ), + ), ), ) @@ -31,13 +34,21 @@ rag.insert(f.read()) # Perform naive search -print(rag.query("What are the top themes in this story?", param=QueryParam(mode="naive"))) +print( + rag.query("What are the top themes in this story?", param=QueryParam(mode="naive")) +) # Perform local search -print(rag.query("What are the top themes in this story?", param=QueryParam(mode="local"))) +print( + rag.query("What are the top themes in this story?", param=QueryParam(mode="local")) +) # Perform global search -print(rag.query("What are the top themes in this story?", param=QueryParam(mode="global"))) +print( + rag.query("What are the top themes in this story?", param=QueryParam(mode="global")) +) # Perform hybrid search -print(rag.query("What are the top themes in this story?", param=QueryParam(mode="hybrid"))) +print( + rag.query("What are the top themes in this story?", param=QueryParam(mode="hybrid")) +) diff --git a/examples/lightrag_ollama_demo.py b/examples/lightrag_ollama_demo.py index a2d04aa6..c61b71c0 100644 --- a/examples/lightrag_ollama_demo.py +++ b/examples/lightrag_ollama_demo.py @@ -11,15 +11,12 @@ rag = LightRAG( working_dir=WORKING_DIR, - llm_model_func=ollama_model_complete, - llm_model_name='your_model_name', + llm_model_func=ollama_model_complete, + llm_model_name="your_model_name", embedding_func=EmbeddingFunc( embedding_dim=768, max_token_size=8192, - func=lambda texts: ollama_embedding( - texts, - embed_model="nomic-embed-text" - ) + func=lambda texts: ollama_embedding(texts, embed_model="nomic-embed-text"), ), ) @@ -28,13 +25,21 @@ rag.insert(f.read()) # Perform naive search -print(rag.query("What are the top themes in this story?", param=QueryParam(mode="naive"))) +print( + rag.query("What are the top themes in this story?", param=QueryParam(mode="naive")) +) # Perform local search -print(rag.query("What are the top themes in this story?", param=QueryParam(mode="local"))) +print( + rag.query("What are the top themes in this story?", param=QueryParam(mode="local")) +) # Perform global search -print(rag.query("What are the top themes in this story?", param=QueryParam(mode="global"))) +print( + rag.query("What are the top themes in this story?", param=QueryParam(mode="global")) +) # Perform hybrid search -print(rag.query("What are the top themes in this story?", param=QueryParam(mode="hybrid"))) +print( + rag.query("What are the top themes in this story?", param=QueryParam(mode="hybrid")) +) diff --git a/examples/lightrag_openai_compatible_demo.py b/examples/lightrag_openai_compatible_demo.py index 75ecc118..fbad1190 100644 --- a/examples/lightrag_openai_compatible_demo.py +++ b/examples/lightrag_openai_compatible_demo.py @@ -6,10 +6,11 @@ import numpy as np WORKING_DIR = "./dickens" - + if not os.path.exists(WORKING_DIR): os.mkdir(WORKING_DIR) + async def llm_model_func( prompt, system_prompt=None, history_messages=[], **kwargs ) -> str: @@ -20,17 +21,19 @@ async def llm_model_func( history_messages=history_messages, api_key=os.getenv("UPSTAGE_API_KEY"), base_url="https://api.upstage.ai/v1/solar", - **kwargs + **kwargs, ) + async def embedding_func(texts: list[str]) -> np.ndarray: return await openai_embedding( texts, model="solar-embedding-1-large-query", api_key=os.getenv("UPSTAGE_API_KEY"), - base_url="https://api.upstage.ai/v1/solar" + base_url="https://api.upstage.ai/v1/solar", ) + # function test async def test_funcs(): result = await llm_model_func("How are you?") @@ -39,6 +42,7 @@ async def test_funcs(): result = await embedding_func(["How are you?"]) print("embedding_func: ", result) + asyncio.run(test_funcs()) @@ -46,10 +50,8 @@ async def test_funcs(): working_dir=WORKING_DIR, llm_model_func=llm_model_func, embedding_func=EmbeddingFunc( - embedding_dim=4096, - max_token_size=8192, - func=embedding_func - ) + embedding_dim=4096, max_token_size=8192, func=embedding_func + ), ) @@ -57,13 +59,21 @@ async def test_funcs(): rag.insert(f.read()) # Perform naive search -print(rag.query("What are the top themes in this story?", param=QueryParam(mode="naive"))) +print( + rag.query("What are the top themes in this story?", param=QueryParam(mode="naive")) +) # Perform local search -print(rag.query("What are the top themes in this story?", param=QueryParam(mode="local"))) +print( + rag.query("What are the top themes in this story?", param=QueryParam(mode="local")) +) # Perform global search -print(rag.query("What are the top themes in this story?", param=QueryParam(mode="global"))) +print( + rag.query("What are the top themes in this story?", param=QueryParam(mode="global")) +) # Perform hybrid search -print(rag.query("What are the top themes in this story?", param=QueryParam(mode="hybrid"))) +print( + rag.query("What are the top themes in this story?", param=QueryParam(mode="hybrid")) +) diff --git a/examples/lightrag_openai_demo.py b/examples/lightrag_openai_demo.py index fb1f055c..a6e7f3b2 100644 --- a/examples/lightrag_openai_demo.py +++ b/examples/lightrag_openai_demo.py @@ -1,9 +1,7 @@ import os -import sys from lightrag import LightRAG, QueryParam -from lightrag.llm import gpt_4o_mini_complete, gpt_4o_complete -from transformers import AutoModel,AutoTokenizer +from lightrag.llm import gpt_4o_mini_complete WORKING_DIR = "./dickens" @@ -12,7 +10,7 @@ rag = LightRAG( working_dir=WORKING_DIR, - llm_model_func=gpt_4o_mini_complete + llm_model_func=gpt_4o_mini_complete, # llm_model_func=gpt_4o_complete ) @@ -21,13 +19,21 @@ rag.insert(f.read()) # Perform naive search -print(rag.query("What are the top themes in this story?", param=QueryParam(mode="naive"))) +print( + rag.query("What are the top themes in this story?", param=QueryParam(mode="naive")) +) # Perform local search -print(rag.query("What are the top themes in this story?", param=QueryParam(mode="local"))) +print( + rag.query("What are the top themes in this story?", param=QueryParam(mode="local")) +) # Perform global search -print(rag.query("What are the top themes in this story?", param=QueryParam(mode="global"))) +print( + rag.query("What are the top themes in this story?", param=QueryParam(mode="global")) +) # Perform hybrid search -print(rag.query("What are the top themes in this story?", param=QueryParam(mode="hybrid"))) +print( + rag.query("What are the top themes in this story?", param=QueryParam(mode="hybrid")) +) diff --git a/lightrag/__init__.py b/lightrag/__init__.py index b6b953f1..f208177f 100644 --- a/lightrag/__init__.py +++ b/lightrag/__init__.py @@ -1,4 +1,4 @@ -from .lightrag import LightRAG, QueryParam +from .lightrag import LightRAG as LightRAG, QueryParam as QueryParam __version__ = "0.0.6" __author__ = "Zirui Guo" diff --git a/lightrag/base.py b/lightrag/base.py index d677c406..50be4f62 100644 --- a/lightrag/base.py +++ b/lightrag/base.py @@ -12,15 +12,16 @@ T = TypeVar("T") + @dataclass class QueryParam: mode: Literal["local", "global", "hybrid", "naive"] = "global" only_need_context: bool = False response_type: str = "Multiple Paragraphs" top_k: int = 60 - max_token_for_text_unit: int = 4000 + max_token_for_text_unit: int = 4000 max_token_for_global_context: int = 4000 - max_token_for_local_context: int = 4000 + max_token_for_local_context: int = 4000 @dataclass @@ -36,6 +37,7 @@ async def query_done_callback(self): """commit the storage operations after querying""" pass + @dataclass class BaseVectorStorage(StorageNameSpace): embedding_func: EmbeddingFunc @@ -50,6 +52,7 @@ async def upsert(self, data: dict[str, dict]): """ raise NotImplementedError + @dataclass class BaseKVStorage(Generic[T], StorageNameSpace): async def all_keys(self) -> list[str]: @@ -72,7 +75,7 @@ async def upsert(self, data: dict[str, T]): async def drop(self): raise NotImplementedError - + @dataclass class BaseGraphStorage(StorageNameSpace): @@ -113,4 +116,4 @@ async def clustering(self, algorithm: str): raise NotImplementedError async def embed_nodes(self, algorithm: str) -> tuple[np.ndarray, list[str]]: - raise NotImplementedError("Node embedding is not used in lightrag.") \ No newline at end of file + raise NotImplementedError("Node embedding is not used in lightrag.") diff --git a/lightrag/lightrag.py b/lightrag/lightrag.py index 83312ef6..5137af42 100644 --- a/lightrag/lightrag.py +++ b/lightrag/lightrag.py @@ -3,10 +3,12 @@ from dataclasses import asdict, dataclass, field from datetime import datetime from functools import partial -from typing import Type, cast, Any -from transformers import AutoModel,AutoTokenizer, AutoModelForCausalLM +from typing import Type, cast -from .llm import gpt_4o_complete, gpt_4o_mini_complete, openai_embedding, hf_model_complete, hf_embedding +from .llm import ( + gpt_4o_mini_complete, + openai_embedding, +) from .operate import ( chunking_by_token_size, extract_entities, @@ -37,6 +39,7 @@ QueryParam, ) + def always_get_an_event_loop() -> asyncio.AbstractEventLoop: try: loop = asyncio.get_running_loop() @@ -69,7 +72,6 @@ class LightRAG: "dimensions": 1536, "num_walks": 10, "walk_length": 40, - "num_walks": 10, "window_size": 2, "iterations": 3, "random_seed": 3, @@ -77,13 +79,13 @@ class LightRAG: ) # embedding_func: EmbeddingFunc = field(default_factory=lambda:hf_embedding) - embedding_func: EmbeddingFunc = field(default_factory=lambda:openai_embedding) + embedding_func: EmbeddingFunc = field(default_factory=lambda: openai_embedding) embedding_batch_num: int = 32 embedding_func_max_async: int = 16 # LLM - llm_model_func: callable = gpt_4o_mini_complete#hf_model_complete# - llm_model_name: str = 'meta-llama/Llama-3.2-1B-Instruct'#'meta-llama/Llama-3.2-1B'#'google/gemma-2-2b-it' + llm_model_func: callable = gpt_4o_mini_complete # hf_model_complete# + llm_model_name: str = "meta-llama/Llama-3.2-1B-Instruct" #'meta-llama/Llama-3.2-1B'#'google/gemma-2-2b-it' llm_model_max_token_size: int = 32768 llm_model_max_async: int = 16 @@ -98,11 +100,11 @@ class LightRAG: addon_params: dict = field(default_factory=dict) convert_response_to_json_func: callable = convert_response_to_json - def __post_init__(self): + def __post_init__(self): log_file = os.path.join(self.working_dir, "lightrag.log") set_logger(log_file) logger.info(f"Logger initialized for working directory: {self.working_dir}") - + _print_config = ",\n ".join([f"{k} = {v}" for k, v in asdict(self).items()]) logger.debug(f"LightRAG init with param:\n {_print_config}\n") @@ -133,30 +135,24 @@ def __post_init__(self): self.embedding_func ) - self.entities_vdb = ( - self.vector_db_storage_cls( - namespace="entities", - global_config=asdict(self), - embedding_func=self.embedding_func, - meta_fields={"entity_name"} - ) + self.entities_vdb = self.vector_db_storage_cls( + namespace="entities", + global_config=asdict(self), + embedding_func=self.embedding_func, + meta_fields={"entity_name"}, ) - self.relationships_vdb = ( - self.vector_db_storage_cls( - namespace="relationships", - global_config=asdict(self), - embedding_func=self.embedding_func, - meta_fields={"src_id", "tgt_id"} - ) + self.relationships_vdb = self.vector_db_storage_cls( + namespace="relationships", + global_config=asdict(self), + embedding_func=self.embedding_func, + meta_fields={"src_id", "tgt_id"}, ) - self.chunks_vdb = ( - self.vector_db_storage_cls( - namespace="chunks", - global_config=asdict(self), - embedding_func=self.embedding_func, - ) + self.chunks_vdb = self.vector_db_storage_cls( + namespace="chunks", + global_config=asdict(self), + embedding_func=self.embedding_func, ) - + self.llm_model_func = limit_async_func_call(self.llm_model_max_async)( partial(self.llm_model_func, hashing_kv=self.llm_response_cache) ) @@ -177,7 +173,7 @@ async def ainsert(self, string_or_strings): _add_doc_keys = await self.full_docs.filter_keys(list(new_docs.keys())) new_docs = {k: v for k, v in new_docs.items() if k in _add_doc_keys} if not len(new_docs): - logger.warning(f"All docs are already in the storage") + logger.warning("All docs are already in the storage") return logger.info(f"[New Docs] inserting {len(new_docs)} docs") @@ -203,7 +199,7 @@ async def ainsert(self, string_or_strings): k: v for k, v in inserting_chunks.items() if k in _add_chunk_keys } if not len(inserting_chunks): - logger.warning(f"All chunks are already in the storage") + logger.warning("All chunks are already in the storage") return logger.info(f"[New Chunks] inserting {len(inserting_chunks)} chunks") @@ -246,7 +242,7 @@ async def _insert_done(self): def query(self, query: str, param: QueryParam = QueryParam()): loop = always_get_an_event_loop() return loop.run_until_complete(self.aquery(query, param)) - + async def aquery(self, query: str, param: QueryParam = QueryParam()): if param.mode == "local": response = await local_query( @@ -290,7 +286,6 @@ async def aquery(self, query: str, param: QueryParam = QueryParam()): raise ValueError(f"Unknown mode {param.mode}") await self._query_done() return response - async def _query_done(self): tasks = [] @@ -299,5 +294,3 @@ async def _query_done(self): continue tasks.append(cast(StorageNameSpace, storage_inst).index_done_callback()) await asyncio.gather(*tasks) - - diff --git a/lightrag/llm.py b/lightrag/llm.py index 48defb4d..be801e0c 100644 --- a/lightrag/llm.py +++ b/lightrag/llm.py @@ -1,9 +1,7 @@ import os import copy import json -import botocore import aioboto3 -import botocore.errorfactory import numpy as np import ollama from openai import AsyncOpenAI, APIConnectionError, RateLimitError, Timeout @@ -13,24 +11,34 @@ wait_exponential, retry_if_exception_type, ) -from transformers import AutoModel,AutoTokenizer, AutoModelForCausalLM +from transformers import AutoTokenizer, AutoModelForCausalLM import torch from .base import BaseKVStorage from .utils import compute_args_hash, wrap_embedding_func_with_attrs -import copy + os.environ["TOKENIZERS_PARALLELISM"] = "false" + + @retry( stop=stop_after_attempt(3), wait=wait_exponential(multiplier=1, min=4, max=10), retry=retry_if_exception_type((RateLimitError, APIConnectionError, Timeout)), ) async def openai_complete_if_cache( - model, prompt, system_prompt=None, history_messages=[], base_url=None, api_key=None, **kwargs + model, + prompt, + system_prompt=None, + history_messages=[], + base_url=None, + api_key=None, + **kwargs, ) -> str: if api_key: os.environ["OPENAI_API_KEY"] = api_key - openai_async_client = AsyncOpenAI() if base_url is None else AsyncOpenAI(base_url=base_url) + openai_async_client = ( + AsyncOpenAI() if base_url is None else AsyncOpenAI(base_url=base_url) + ) hashing_kv: BaseKVStorage = kwargs.pop("hashing_kv", None) messages = [] if system_prompt: @@ -64,43 +72,56 @@ class BedrockError(Exception): retry=retry_if_exception_type((BedrockError)), ) async def bedrock_complete_if_cache( - model, prompt, system_prompt=None, history_messages=[], - aws_access_key_id=None, aws_secret_access_key=None, aws_session_token=None, **kwargs + model, + prompt, + system_prompt=None, + history_messages=[], + aws_access_key_id=None, + aws_secret_access_key=None, + aws_session_token=None, + **kwargs, ) -> str: - os.environ['AWS_ACCESS_KEY_ID'] = os.environ.get('AWS_ACCESS_KEY_ID', aws_access_key_id) - os.environ['AWS_SECRET_ACCESS_KEY'] = os.environ.get('AWS_SECRET_ACCESS_KEY', aws_secret_access_key) - os.environ['AWS_SESSION_TOKEN'] = os.environ.get('AWS_SESSION_TOKEN', aws_session_token) + os.environ["AWS_ACCESS_KEY_ID"] = os.environ.get( + "AWS_ACCESS_KEY_ID", aws_access_key_id + ) + os.environ["AWS_SECRET_ACCESS_KEY"] = os.environ.get( + "AWS_SECRET_ACCESS_KEY", aws_secret_access_key + ) + os.environ["AWS_SESSION_TOKEN"] = os.environ.get( + "AWS_SESSION_TOKEN", aws_session_token + ) # Fix message history format messages = [] for history_message in history_messages: message = copy.copy(history_message) - message['content'] = [{'text': message['content']}] + message["content"] = [{"text": message["content"]}] messages.append(message) # Add user prompt - messages.append({'role': "user", 'content': [{'text': prompt}]}) + messages.append({"role": "user", "content": [{"text": prompt}]}) # Initialize Converse API arguments - args = { - 'modelId': model, - 'messages': messages - } + args = {"modelId": model, "messages": messages} # Define system prompt if system_prompt: - args['system'] = [{'text': system_prompt}] + args["system"] = [{"text": system_prompt}] # Map and set up inference parameters inference_params_map = { - 'max_tokens': "maxTokens", - 'top_p': "topP", - 'stop_sequences': "stopSequences" + "max_tokens": "maxTokens", + "top_p": "topP", + "stop_sequences": "stopSequences", } - if (inference_params := list(set(kwargs) & set(['max_tokens', 'temperature', 'top_p', 'stop_sequences']))): - args['inferenceConfig'] = {} + if inference_params := list( + set(kwargs) & set(["max_tokens", "temperature", "top_p", "stop_sequences"]) + ): + args["inferenceConfig"] = {} for param in inference_params: - args['inferenceConfig'][inference_params_map.get(param, param)] = kwargs.pop(param) + args["inferenceConfig"][inference_params_map.get(param, param)] = ( + kwargs.pop(param) + ) hashing_kv: BaseKVStorage = kwargs.pop("hashing_kv", None) if hashing_kv is not None: @@ -112,31 +133,33 @@ async def bedrock_complete_if_cache( # Call model via Converse API session = aioboto3.Session() async with session.client("bedrock-runtime") as bedrock_async_client: - try: response = await bedrock_async_client.converse(**args, **kwargs) except Exception as e: raise BedrockError(e) if hashing_kv is not None: - await hashing_kv.upsert({ - args_hash: { - 'return': response['output']['message']['content'][0]['text'], - 'model': model + await hashing_kv.upsert( + { + args_hash: { + "return": response["output"]["message"]["content"][0]["text"], + "model": model, + } } - }) + ) + + return response["output"]["message"]["content"][0]["text"] - return response['output']['message']['content'][0]['text'] async def hf_model_if_cache( model, prompt, system_prompt=None, history_messages=[], **kwargs ) -> str: model_name = model - hf_tokenizer = AutoTokenizer.from_pretrained(model_name,device_map = 'auto') - if hf_tokenizer.pad_token == None: + hf_tokenizer = AutoTokenizer.from_pretrained(model_name, device_map="auto") + if hf_tokenizer.pad_token is None: # print("use eos token") hf_tokenizer.pad_token = hf_tokenizer.eos_token - hf_model = AutoModelForCausalLM.from_pretrained(model_name,device_map = 'auto') + hf_model = AutoModelForCausalLM.from_pretrained(model_name, device_map="auto") hashing_kv: BaseKVStorage = kwargs.pop("hashing_kv", None) messages = [] if system_prompt: @@ -149,30 +172,51 @@ async def hf_model_if_cache( if_cache_return = await hashing_kv.get_by_id(args_hash) if if_cache_return is not None: return if_cache_return["return"] - input_prompt = '' + input_prompt = "" try: - input_prompt = hf_tokenizer.apply_chat_template(messages, tokenize=False, add_generation_prompt=True) - except: + input_prompt = hf_tokenizer.apply_chat_template( + messages, tokenize=False, add_generation_prompt=True + ) + except Exception: try: ori_message = copy.deepcopy(messages) - if messages[0]['role'] == "system": - messages[1]['content'] = "" + messages[0]['content'] + "\n" + messages[1]['content'] + if messages[0]["role"] == "system": + messages[1]["content"] = ( + "" + + messages[0]["content"] + + "\n" + + messages[1]["content"] + ) messages = messages[1:] - input_prompt = hf_tokenizer.apply_chat_template(messages, tokenize=False, add_generation_prompt=True) - except: + input_prompt = hf_tokenizer.apply_chat_template( + messages, tokenize=False, add_generation_prompt=True + ) + except Exception: len_message = len(ori_message) for msgid in range(len_message): - input_prompt =input_prompt+ '<'+ori_message[msgid]['role']+'>'+ori_message[msgid]['content']+'\n' - - input_ids = hf_tokenizer(input_prompt, return_tensors='pt', padding=True, truncation=True).to("cuda") - output = hf_model.generate(**input_ids, max_new_tokens=200, num_return_sequences=1,early_stopping = True) + input_prompt = ( + input_prompt + + "<" + + ori_message[msgid]["role"] + + ">" + + ori_message[msgid]["content"] + + "\n" + ) + + input_ids = hf_tokenizer( + input_prompt, return_tensors="pt", padding=True, truncation=True + ).to("cuda") + output = hf_model.generate( + **input_ids, max_new_tokens=200, num_return_sequences=1, early_stopping=True + ) response_text = hf_tokenizer.decode(output[0], skip_special_tokens=True) if hashing_kv is not None: - await hashing_kv.upsert( - {args_hash: {"return": response_text, "model": model}} - ) + await hashing_kv.upsert({args_hash: {"return": response_text, "model": model}}) return response_text + async def ollama_model_if_cache( model, prompt, system_prompt=None, history_messages=[], **kwargs ) -> str: @@ -202,6 +246,7 @@ async def ollama_model_if_cache( return result + async def gpt_4o_complete( prompt, system_prompt=None, history_messages=[], **kwargs ) -> str: @@ -241,7 +286,7 @@ async def bedrock_complete( async def hf_model_complete( prompt, system_prompt=None, history_messages=[], **kwargs ) -> str: - model_name = kwargs['hashing_kv'].global_config['llm_model_name'] + model_name = kwargs["hashing_kv"].global_config["llm_model_name"] return await hf_model_if_cache( model_name, prompt, @@ -250,10 +295,11 @@ async def hf_model_complete( **kwargs, ) + async def ollama_model_complete( prompt, system_prompt=None, history_messages=[], **kwargs ) -> str: - model_name = kwargs['hashing_kv'].global_config['llm_model_name'] + model_name = kwargs["hashing_kv"].global_config["llm_model_name"] return await ollama_model_if_cache( model_name, prompt, @@ -262,17 +308,25 @@ async def ollama_model_complete( **kwargs, ) + @wrap_embedding_func_with_attrs(embedding_dim=1536, max_token_size=8192) @retry( stop=stop_after_attempt(3), wait=wait_exponential(multiplier=1, min=4, max=10), retry=retry_if_exception_type((RateLimitError, APIConnectionError, Timeout)), ) -async def openai_embedding(texts: list[str], model: str = "text-embedding-3-small", base_url: str = None, api_key: str = None) -> np.ndarray: +async def openai_embedding( + texts: list[str], + model: str = "text-embedding-3-small", + base_url: str = None, + api_key: str = None, +) -> np.ndarray: if api_key: os.environ["OPENAI_API_KEY"] = api_key - openai_async_client = AsyncOpenAI() if base_url is None else AsyncOpenAI(base_url=base_url) + openai_async_client = ( + AsyncOpenAI() if base_url is None else AsyncOpenAI(base_url=base_url) + ) response = await openai_async_client.embeddings.create( model=model, input=texts, encoding_format="float" ) @@ -286,28 +340,37 @@ async def openai_embedding(texts: list[str], model: str = "text-embedding-3-smal # retry=retry_if_exception_type((RateLimitError, APIConnectionError, Timeout)), # TODO: fix exceptions # ) async def bedrock_embedding( - texts: list[str], model: str = "amazon.titan-embed-text-v2:0", - aws_access_key_id=None, aws_secret_access_key=None, aws_session_token=None) -> np.ndarray: - os.environ['AWS_ACCESS_KEY_ID'] = os.environ.get('AWS_ACCESS_KEY_ID', aws_access_key_id) - os.environ['AWS_SECRET_ACCESS_KEY'] = os.environ.get('AWS_SECRET_ACCESS_KEY', aws_secret_access_key) - os.environ['AWS_SESSION_TOKEN'] = os.environ.get('AWS_SESSION_TOKEN', aws_session_token) + texts: list[str], + model: str = "amazon.titan-embed-text-v2:0", + aws_access_key_id=None, + aws_secret_access_key=None, + aws_session_token=None, +) -> np.ndarray: + os.environ["AWS_ACCESS_KEY_ID"] = os.environ.get( + "AWS_ACCESS_KEY_ID", aws_access_key_id + ) + os.environ["AWS_SECRET_ACCESS_KEY"] = os.environ.get( + "AWS_SECRET_ACCESS_KEY", aws_secret_access_key + ) + os.environ["AWS_SESSION_TOKEN"] = os.environ.get( + "AWS_SESSION_TOKEN", aws_session_token + ) session = aioboto3.Session() async with session.client("bedrock-runtime") as bedrock_async_client: - if (model_provider := model.split(".")[0]) == "amazon": embed_texts = [] for text in texts: if "v2" in model: - body = json.dumps({ - 'inputText': text, - # 'dimensions': embedding_dim, - 'embeddingTypes': ["float"] - }) + body = json.dumps( + { + "inputText": text, + # 'dimensions': embedding_dim, + "embeddingTypes": ["float"], + } + ) elif "v1" in model: - body = json.dumps({ - 'inputText': text - }) + body = json.dumps({"inputText": text}) else: raise ValueError(f"Model {model} is not supported!") @@ -315,29 +378,27 @@ async def bedrock_embedding( modelId=model, body=body, accept="application/json", - contentType="application/json" + contentType="application/json", ) - response_body = await response.get('body').json() + response_body = await response.get("body").json() - embed_texts.append(response_body['embedding']) + embed_texts.append(response_body["embedding"]) elif model_provider == "cohere": - body = json.dumps({ - 'texts': texts, - 'input_type': "search_document", - 'truncate': "NONE" - }) + body = json.dumps( + {"texts": texts, "input_type": "search_document", "truncate": "NONE"} + ) response = await bedrock_async_client.invoke_model( model=model, body=body, accept="application/json", - contentType="application/json" + contentType="application/json", ) - response_body = json.loads(response.get('body').read()) + response_body = json.loads(response.get("body").read()) - embed_texts = response_body['embeddings'] + embed_texts = response_body["embeddings"] else: raise ValueError(f"Model provider '{model_provider}' is not supported!") @@ -345,12 +406,15 @@ async def bedrock_embedding( async def hf_embedding(texts: list[str], tokenizer, embed_model) -> np.ndarray: - input_ids = tokenizer(texts, return_tensors='pt', padding=True, truncation=True).input_ids + input_ids = tokenizer( + texts, return_tensors="pt", padding=True, truncation=True + ).input_ids with torch.no_grad(): outputs = embed_model(input_ids) embeddings = outputs.last_hidden_state.mean(dim=1) return embeddings.detach().numpy() + async def ollama_embedding(texts: list[str], embed_model) -> np.ndarray: embed_text = [] for text in texts: @@ -359,11 +423,12 @@ async def ollama_embedding(texts: list[str], embed_model) -> np.ndarray: return embed_text + if __name__ == "__main__": import asyncio async def main(): - result = await gpt_4o_mini_complete('How are you?') + result = await gpt_4o_mini_complete("How are you?") print(result) asyncio.run(main()) diff --git a/lightrag/operate.py b/lightrag/operate.py index 930ceb2a..a0729cd8 100644 --- a/lightrag/operate.py +++ b/lightrag/operate.py @@ -25,6 +25,7 @@ ) from .prompt import GRAPH_FIELD_SEP, PROMPTS + def chunking_by_token_size( content: str, overlap_token_size=128, max_token_size=1024, tiktoken_model="gpt-4o" ): @@ -45,6 +46,7 @@ def chunking_by_token_size( ) return results + async def _handle_entity_relation_summary( entity_or_relation_name: str, description: str, @@ -229,9 +231,10 @@ async def _merge_edges_then_upsert( description=description, keywords=keywords, ) - + return edge_data + async def extract_entities( chunks: dict[str, TextChunkSchema], knwoledge_graph_inst: BaseGraphStorage, @@ -352,7 +355,9 @@ async def _process_single_content(chunk_key_dp: tuple[str, TextChunkSchema]): logger.warning("Didn't extract any entities, maybe your LLM is not working") return None if not len(all_relationships_data): - logger.warning("Didn't extract any relationships, maybe your LLM is not working") + logger.warning( + "Didn't extract any relationships, maybe your LLM is not working" + ) return None if entity_vdb is not None: @@ -370,7 +375,10 @@ async def _process_single_content(chunk_key_dp: tuple[str, TextChunkSchema]): compute_mdhash_id(dp["src_id"] + dp["tgt_id"], prefix="rel-"): { "src_id": dp["src_id"], "tgt_id": dp["tgt_id"], - "content": dp["keywords"] + dp["src_id"] + dp["tgt_id"] + dp["description"], + "content": dp["keywords"] + + dp["src_id"] + + dp["tgt_id"] + + dp["description"], } for dp in all_relationships_data } @@ -378,6 +386,7 @@ async def _process_single_content(chunk_key_dp: tuple[str, TextChunkSchema]): return knwoledge_graph_inst + async def local_query( query, knowledge_graph_inst: BaseGraphStorage, @@ -393,19 +402,24 @@ async def local_query( kw_prompt_temp = PROMPTS["keywords_extraction"] kw_prompt = kw_prompt_temp.format(query=query) result = await use_model_func(kw_prompt) - + try: keywords_data = json.loads(result) keywords = keywords_data.get("low_level_keywords", []) - keywords = ', '.join(keywords) - except json.JSONDecodeError as e: + keywords = ", ".join(keywords) + except json.JSONDecodeError: try: - result = result.replace(kw_prompt[:-1],'').replace('user','').replace('model','').strip() - result = '{' + result.split('{')[1].split('}')[0] + '}' + result = ( + result.replace(kw_prompt[:-1], "") + .replace("user", "") + .replace("model", "") + .strip() + ) + result = "{" + result.split("{")[1].split("}")[0] + "}" keywords_data = json.loads(result) keywords = keywords_data.get("low_level_keywords", []) - keywords = ', '.join(keywords) + keywords = ", ".join(keywords) # Handle parsing error except json.JSONDecodeError as e: print(f"JSON parsing error: {e}") @@ -430,11 +444,20 @@ async def local_query( query, system_prompt=sys_prompt, ) - if len(response)>len(sys_prompt): - response = response.replace(sys_prompt,'').replace('user','').replace('model','').replace(query,'').replace('','').replace('','').strip() - + if len(response) > len(sys_prompt): + response = ( + response.replace(sys_prompt, "") + .replace("user", "") + .replace("model", "") + .replace(query, "") + .replace("", "") + .replace("", "") + .strip() + ) + return response + async def _build_local_query_context( query, knowledge_graph_inst: BaseGraphStorage, @@ -516,6 +539,7 @@ async def _build_local_query_context( ``` """ + async def _find_most_related_text_unit_from_entities( node_datas: list[dict], query_param: QueryParam, @@ -576,6 +600,7 @@ async def _find_most_related_text_unit_from_entities( all_text_units: list[TextChunkSchema] = [t["data"] for t in all_text_units] return all_text_units + async def _find_most_related_edges_from_entities( node_datas: list[dict], query_param: QueryParam, @@ -609,6 +634,7 @@ async def _find_most_related_edges_from_entities( ) return all_edges_data + async def global_query( query, knowledge_graph_inst: BaseGraphStorage, @@ -624,20 +650,25 @@ async def global_query( kw_prompt_temp = PROMPTS["keywords_extraction"] kw_prompt = kw_prompt_temp.format(query=query) result = await use_model_func(kw_prompt) - + try: keywords_data = json.loads(result) keywords = keywords_data.get("high_level_keywords", []) - keywords = ', '.join(keywords) - except json.JSONDecodeError as e: + keywords = ", ".join(keywords) + except json.JSONDecodeError: try: - result = result.replace(kw_prompt[:-1],'').replace('user','').replace('model','').strip() - result = '{' + result.split('{')[1].split('}')[0] + '}' + result = ( + result.replace(kw_prompt[:-1], "") + .replace("user", "") + .replace("model", "") + .strip() + ) + result = "{" + result.split("{")[1].split("}")[0] + "}" keywords_data = json.loads(result) keywords = keywords_data.get("high_level_keywords", []) - keywords = ', '.join(keywords) - + keywords = ", ".join(keywords) + except json.JSONDecodeError as e: # Handle parsing error print(f"JSON parsing error: {e}") @@ -651,12 +682,12 @@ async def global_query( text_chunks_db, query_param, ) - + if query_param.only_need_context: return context if context is None: return PROMPTS["fail_response"] - + sys_prompt_temp = PROMPTS["rag_response"] sys_prompt = sys_prompt_temp.format( context_data=context, response_type=query_param.response_type @@ -665,11 +696,20 @@ async def global_query( query, system_prompt=sys_prompt, ) - if len(response)>len(sys_prompt): - response = response.replace(sys_prompt,'').replace('user','').replace('model','').replace(query,'').replace('','').replace('','').strip() - + if len(response) > len(sys_prompt): + response = ( + response.replace(sys_prompt, "") + .replace("user", "") + .replace("model", "") + .replace(query, "") + .replace("", "") + .replace("", "") + .strip() + ) + return response + async def _build_global_query_context( keywords, knowledge_graph_inst: BaseGraphStorage, @@ -679,14 +719,14 @@ async def _build_global_query_context( query_param: QueryParam, ): results = await relationships_vdb.query(keywords, top_k=query_param.top_k) - + if not len(results): return None - + edge_datas = await asyncio.gather( *[knowledge_graph_inst.get_edge(r["src_id"], r["tgt_id"]) for r in results] ) - + if not all([n is not None for n in edge_datas]): logger.warning("Some edges are missing, maybe the storage is damaged") edge_degree = await asyncio.gather( @@ -765,6 +805,7 @@ async def _build_global_query_context( ``` """ + async def _find_most_related_entities_from_relationships( edge_datas: list[dict], query_param: QueryParam, @@ -774,7 +815,7 @@ async def _find_most_related_entities_from_relationships( for e in edge_datas: entity_names.add(e["src_id"]) entity_names.add(e["tgt_id"]) - + node_datas = await asyncio.gather( *[knowledge_graph_inst.get_node(entity_name) for entity_name in entity_names] ) @@ -795,13 +836,13 @@ async def _find_most_related_entities_from_relationships( return node_datas + async def _find_related_text_unit_from_relationships( edge_datas: list[dict], query_param: QueryParam, text_chunks_db: BaseKVStorage[TextChunkSchema], knowledge_graph_inst: BaseGraphStorage, ): - text_units = [ split_string_by_multi_markers(dp["source_id"], [GRAPH_FIELD_SEP]) for dp in edge_datas @@ -816,15 +857,13 @@ async def _find_related_text_unit_from_relationships( "data": await text_chunks_db.get_by_id(c_id), "order": index, } - + if any([v is None for v in all_text_units_lookup.values()]): logger.warning("Text chunks are missing, maybe the storage is damaged") all_text_units = [ {"id": k, **v} for k, v in all_text_units_lookup.items() if v is not None ] - all_text_units = sorted( - all_text_units, key=lambda x: x["order"] - ) + all_text_units = sorted(all_text_units, key=lambda x: x["order"]) all_text_units = truncate_list_by_token_size( all_text_units, key=lambda x: x["data"]["content"], @@ -834,6 +873,7 @@ async def _find_related_text_unit_from_relationships( return all_text_units + async def hybrid_query( query, knowledge_graph_inst: BaseGraphStorage, @@ -849,24 +889,29 @@ async def hybrid_query( kw_prompt_temp = PROMPTS["keywords_extraction"] kw_prompt = kw_prompt_temp.format(query=query) - + result = await use_model_func(kw_prompt) try: keywords_data = json.loads(result) hl_keywords = keywords_data.get("high_level_keywords", []) ll_keywords = keywords_data.get("low_level_keywords", []) - hl_keywords = ', '.join(hl_keywords) - ll_keywords = ', '.join(ll_keywords) - except json.JSONDecodeError as e: + hl_keywords = ", ".join(hl_keywords) + ll_keywords = ", ".join(ll_keywords) + except json.JSONDecodeError: try: - result = result.replace(kw_prompt[:-1],'').replace('user','').replace('model','').strip() - result = '{' + result.split('{')[1].split('}')[0] + '}' + result = ( + result.replace(kw_prompt[:-1], "") + .replace("user", "") + .replace("model", "") + .strip() + ) + result = "{" + result.split("{")[1].split("}")[0] + "}" keywords_data = json.loads(result) hl_keywords = keywords_data.get("high_level_keywords", []) ll_keywords = keywords_data.get("low_level_keywords", []) - hl_keywords = ', '.join(hl_keywords) - ll_keywords = ', '.join(ll_keywords) + hl_keywords = ", ".join(hl_keywords) + ll_keywords = ", ".join(ll_keywords) # Handle parsing error except json.JSONDecodeError as e: print(f"JSON parsing error: {e}") @@ -897,7 +942,7 @@ async def hybrid_query( return context if context is None: return PROMPTS["fail_response"] - + sys_prompt_temp = PROMPTS["rag_response"] sys_prompt = sys_prompt_temp.format( context_data=context, response_type=query_param.response_type @@ -906,53 +951,78 @@ async def hybrid_query( query, system_prompt=sys_prompt, ) - if len(response)>len(sys_prompt): - response = response.replace(sys_prompt,'').replace('user','').replace('model','').replace(query,'').replace('','').replace('','').strip() + if len(response) > len(sys_prompt): + response = ( + response.replace(sys_prompt, "") + .replace("user", "") + .replace("model", "") + .replace(query, "") + .replace("", "") + .replace("", "") + .strip() + ) return response + def combine_contexts(high_level_context, low_level_context): # Function to extract entities, relationships, and sources from context strings def extract_sections(context): - entities_match = re.search(r'-----Entities-----\s*```csv\s*(.*?)\s*```', context, re.DOTALL) - relationships_match = re.search(r'-----Relationships-----\s*```csv\s*(.*?)\s*```', context, re.DOTALL) - sources_match = re.search(r'-----Sources-----\s*```csv\s*(.*?)\s*```', context, re.DOTALL) - - entities = entities_match.group(1) if entities_match else '' - relationships = relationships_match.group(1) if relationships_match else '' - sources = sources_match.group(1) if sources_match else '' - + entities_match = re.search( + r"-----Entities-----\s*```csv\s*(.*?)\s*```", context, re.DOTALL + ) + relationships_match = re.search( + r"-----Relationships-----\s*```csv\s*(.*?)\s*```", context, re.DOTALL + ) + sources_match = re.search( + r"-----Sources-----\s*```csv\s*(.*?)\s*```", context, re.DOTALL + ) + + entities = entities_match.group(1) if entities_match else "" + relationships = relationships_match.group(1) if relationships_match else "" + sources = sources_match.group(1) if sources_match else "" + return entities, relationships, sources - + # Extract sections from both contexts - if high_level_context==None: - warnings.warn("High Level context is None. Return empty High entity/relationship/source") - hl_entities, hl_relationships, hl_sources = '','','' + if high_level_context is None: + warnings.warn( + "High Level context is None. Return empty High entity/relationship/source" + ) + hl_entities, hl_relationships, hl_sources = "", "", "" else: hl_entities, hl_relationships, hl_sources = extract_sections(high_level_context) - - if low_level_context==None: - warnings.warn("Low Level context is None. Return empty Low entity/relationship/source") - ll_entities, ll_relationships, ll_sources = '','','' + if low_level_context is None: + warnings.warn( + "Low Level context is None. Return empty Low entity/relationship/source" + ) + ll_entities, ll_relationships, ll_sources = "", "", "" else: ll_entities, ll_relationships, ll_sources = extract_sections(low_level_context) - - # Combine and deduplicate the entities - combined_entities_set = set(filter(None, hl_entities.strip().split('\n') + ll_entities.strip().split('\n'))) - combined_entities = '\n'.join(combined_entities_set) - + combined_entities_set = set( + filter(None, hl_entities.strip().split("\n") + ll_entities.strip().split("\n")) + ) + combined_entities = "\n".join(combined_entities_set) + # Combine and deduplicate the relationships - combined_relationships_set = set(filter(None, hl_relationships.strip().split('\n') + ll_relationships.strip().split('\n'))) - combined_relationships = '\n'.join(combined_relationships_set) - + combined_relationships_set = set( + filter( + None, + hl_relationships.strip().split("\n") + ll_relationships.strip().split("\n"), + ) + ) + combined_relationships = "\n".join(combined_relationships_set) + # Combine and deduplicate the sources - combined_sources_set = set(filter(None, hl_sources.strip().split('\n') + ll_sources.strip().split('\n'))) - combined_sources = '\n'.join(combined_sources_set) - + combined_sources_set = set( + filter(None, hl_sources.strip().split("\n") + ll_sources.strip().split("\n")) + ) + combined_sources = "\n".join(combined_sources_set) + # Format the combined context return f""" -----Entities----- @@ -964,6 +1034,7 @@ def extract_sections(context): {combined_sources} """ + async def naive_query( query, chunks_vdb: BaseVectorStorage, @@ -996,8 +1067,16 @@ async def naive_query( system_prompt=sys_prompt, ) - if len(response)>len(sys_prompt): - response = response[len(sys_prompt):].replace(sys_prompt,'').replace('user','').replace('model','').replace(query,'').replace('','').replace('','').strip() - - return response + if len(response) > len(sys_prompt): + response = ( + response[len(sys_prompt) :] + .replace(sys_prompt, "") + .replace("user", "") + .replace("model", "") + .replace(query, "") + .replace("", "") + .replace("", "") + .strip() + ) + return response diff --git a/lightrag/prompt.py b/lightrag/prompt.py index 5d28e49c..6bd9b638 100644 --- a/lightrag/prompt.py +++ b/lightrag/prompt.py @@ -9,9 +9,7 @@ PROMPTS["DEFAULT_ENTITY_TYPES"] = ["organization", "person", "geo", "event"] -PROMPTS[ - "entity_extraction" -] = """-Goal- +PROMPTS["entity_extraction"] = """-Goal- Given a text document that is potentially relevant to this activity and a list of entity types, identify all entities of those types from the text and all relationships among the identified entities. -Steps- @@ -32,7 +30,7 @@ 3. Identify high-level key words that summarize the main concepts, themes, or topics of the entire text. These should capture the overarching ideas present in the document. Format the content-level key words as ("content_keywords"{tuple_delimiter}) - + 4. Return output in English as a single list of all the entities and relationships identified in steps 1 and 2. Use **{record_delimiter}** as the list delimiter. 5. When finished, output {completion_delimiter} @@ -146,9 +144,7 @@ PROMPTS["fail_response"] = "Sorry, I'm not able to provide an answer to that question." -PROMPTS[ - "rag_response" -] = """---Role--- +PROMPTS["rag_response"] = """---Role--- You are a helpful assistant responding to questions about data in the tables provided. @@ -241,9 +237,7 @@ """ -PROMPTS[ - "naive_rag_response" -] = """You're a helpful assistant +PROMPTS["naive_rag_response"] = """You're a helpful assistant Below are the knowledge you know: {content_data} --- diff --git a/lightrag/storage.py b/lightrag/storage.py index 2f2bb7d8..1f22fc56 100644 --- a/lightrag/storage.py +++ b/lightrag/storage.py @@ -1,16 +1,11 @@ import asyncio import html -import json import os -from collections import defaultdict -from dataclasses import dataclass, field +from dataclasses import dataclass from typing import Any, Union, cast -import pickle -import hnswlib import networkx as nx import numpy as np from nano_vectordb import NanoVectorDB -import xxhash from .utils import load_json, logger, write_json from .base import ( @@ -19,6 +14,7 @@ BaseVectorStorage, ) + @dataclass class JsonKVStorage(BaseKVStorage): def __post_init__(self): @@ -59,12 +55,12 @@ async def upsert(self, data: dict[str, dict]): async def drop(self): self._data = {} + @dataclass class NanoVectorDBStorage(BaseVectorStorage): cosine_better_than_threshold: float = 0.2 def __post_init__(self): - self._client_file_name = os.path.join( self.global_config["working_dir"], f"vdb_{self.namespace}.json" ) @@ -118,6 +114,7 @@ async def query(self, query: str, top_k=5): async def index_done_callback(self): self._client.save() + @dataclass class NetworkXStorage(BaseGraphStorage): @staticmethod @@ -142,7 +139,9 @@ def stable_largest_connected_component(graph: nx.Graph) -> nx.Graph: graph = graph.copy() graph = cast(nx.Graph, largest_connected_component(graph)) - node_mapping = {node: html.unescape(node.upper().strip()) for node in graph.nodes()} # type: ignore + node_mapping = { + node: html.unescape(node.upper().strip()) for node in graph.nodes() + } # type: ignore graph = nx.relabel_nodes(graph, node_mapping) return NetworkXStorage._stabilize_graph(graph) diff --git a/lightrag/utils.py b/lightrag/utils.py index 9496cf34..67d094c6 100644 --- a/lightrag/utils.py +++ b/lightrag/utils.py @@ -16,18 +16,22 @@ logger = logging.getLogger("lightrag") + def set_logger(log_file: str): logger.setLevel(logging.DEBUG) file_handler = logging.FileHandler(log_file) file_handler.setLevel(logging.DEBUG) - formatter = logging.Formatter('%(asctime)s - %(name)s - %(levelname)s - %(message)s') + formatter = logging.Formatter( + "%(asctime)s - %(name)s - %(levelname)s - %(message)s" + ) file_handler.setFormatter(formatter) if not logger.handlers: logger.addHandler(file_handler) + @dataclass class EmbeddingFunc: embedding_dim: int @@ -36,7 +40,8 @@ class EmbeddingFunc: async def __call__(self, *args, **kwargs) -> np.ndarray: return await self.func(*args, **kwargs) - + + def locate_json_string_body_from_string(content: str) -> Union[str, None]: """Locate the JSON string body from a string""" maybe_json_str = re.search(r"{.*}", content, re.DOTALL) @@ -45,6 +50,7 @@ def locate_json_string_body_from_string(content: str) -> Union[str, None]: else: return None + def convert_response_to_json(response: str) -> dict: json_str = locate_json_string_body_from_string(response) assert json_str is not None, f"Unable to parse JSON from response: {response}" @@ -55,12 +61,15 @@ def convert_response_to_json(response: str) -> dict: logger.error(f"Failed to parse JSON: {json_str}") raise e from None + def compute_args_hash(*args): return md5(str(args).encode()).hexdigest() + def compute_mdhash_id(content, prefix: str = ""): return prefix + md5(content.encode()).hexdigest() + def limit_async_func_call(max_size: int, waitting_time: float = 0.0001): """Add restriction of maximum async calling times for a async func""" @@ -82,6 +91,7 @@ async def wait_func(*args, **kwargs): return final_decro + def wrap_embedding_func_with_attrs(**kwargs): """Wrap a function with attributes""" @@ -91,16 +101,19 @@ def final_decro(func) -> EmbeddingFunc: return final_decro + def load_json(file_name): if not os.path.exists(file_name): return None with open(file_name, encoding="utf-8") as f: return json.load(f) + def write_json(json_obj, file_name): with open(file_name, "w", encoding="utf-8") as f: json.dump(json_obj, f, indent=2, ensure_ascii=False) + def encode_string_by_tiktoken(content: str, model_name: str = "gpt-4o"): global ENCODER if ENCODER is None: @@ -116,12 +129,14 @@ def decode_tokens_by_tiktoken(tokens: list[int], model_name: str = "gpt-4o"): content = ENCODER.decode(tokens) return content + def pack_user_ass_to_openai_messages(*args: str): roles = ["user", "assistant"] return [ {"role": roles[i % 2], "content": content} for i, content in enumerate(args) ] + def split_string_by_multi_markers(content: str, markers: list[str]) -> list[str]: """Split a string by multiple markers""" if not markers: @@ -129,6 +144,7 @@ def split_string_by_multi_markers(content: str, markers: list[str]) -> list[str] results = re.split("|".join(re.escape(marker) for marker in markers), content) return [r.strip() for r in results if r.strip()] + # Refer the utils functions of the official GraphRAG implementation: # https://github.com/microsoft/graphrag def clean_str(input: Any) -> str: @@ -141,9 +157,11 @@ def clean_str(input: Any) -> str: # https://stackoverflow.com/questions/4324790/removing-control-characters-from-a-string-in-python return re.sub(r"[\x00-\x1f\x7f-\x9f]", "", result) + def is_float_regex(value): return bool(re.match(r"^[-+]?[0-9]*\.?[0-9]+$", value)) + def truncate_list_by_token_size(list_data: list, key: callable, max_token_size: int): """Truncate a list of data by token size""" if max_token_size <= 0: @@ -155,11 +173,13 @@ def truncate_list_by_token_size(list_data: list, key: callable, max_token_size: return list_data[:i] return list_data + def list_of_list_to_csv(data: list[list]): return "\n".join( [",\t".join([str(data_dd) for data_dd in data_d]) for data_d in data] ) + def save_data_to_file(data, file_name): - with open(file_name, 'w', encoding='utf-8') as f: - json.dump(data, f, ensure_ascii=False, indent=4) \ No newline at end of file + with open(file_name, "w", encoding="utf-8") as f: + json.dump(data, f, ensure_ascii=False, indent=4) diff --git a/reproduce/Step_0.py b/reproduce/Step_0.py index 9053aa40..2d97bd14 100644 --- a/reproduce/Step_0.py +++ b/reproduce/Step_0.py @@ -3,11 +3,11 @@ import glob import argparse -def extract_unique_contexts(input_directory, output_directory): +def extract_unique_contexts(input_directory, output_directory): os.makedirs(output_directory, exist_ok=True) - jsonl_files = glob.glob(os.path.join(input_directory, '*.jsonl')) + jsonl_files = glob.glob(os.path.join(input_directory, "*.jsonl")) print(f"Found {len(jsonl_files)} JSONL files.") for file_path in jsonl_files: @@ -21,18 +21,20 @@ def extract_unique_contexts(input_directory, output_directory): print(f"Processing file: {filename}") try: - with open(file_path, 'r', encoding='utf-8') as infile: + with open(file_path, "r", encoding="utf-8") as infile: for line_number, line in enumerate(infile, start=1): line = line.strip() if not line: continue try: json_obj = json.loads(line) - context = json_obj.get('context') + context = json_obj.get("context") if context and context not in unique_contexts_dict: unique_contexts_dict[context] = None except json.JSONDecodeError as e: - print(f"JSON decoding error in file {filename} at line {line_number}: {e}") + print( + f"JSON decoding error in file {filename} at line {line_number}: {e}" + ) except FileNotFoundError: print(f"File not found: {filename}") continue @@ -41,10 +43,12 @@ def extract_unique_contexts(input_directory, output_directory): continue unique_contexts_list = list(unique_contexts_dict.keys()) - print(f"There are {len(unique_contexts_list)} unique `context` entries in the file {filename}.") + print( + f"There are {len(unique_contexts_list)} unique `context` entries in the file {filename}." + ) try: - with open(output_path, 'w', encoding='utf-8') as outfile: + with open(output_path, "w", encoding="utf-8") as outfile: json.dump(unique_contexts_list, outfile, ensure_ascii=False, indent=4) print(f"Unique `context` entries have been saved to: {output_filename}") except Exception as e: @@ -55,8 +59,10 @@ def extract_unique_contexts(input_directory, output_directory): if __name__ == "__main__": parser = argparse.ArgumentParser() - parser.add_argument('-i', '--input_dir', type=str, default='../datasets') - parser.add_argument('-o', '--output_dir', type=str, default='../datasets/unique_contexts') + parser.add_argument("-i", "--input_dir", type=str, default="../datasets") + parser.add_argument( + "-o", "--output_dir", type=str, default="../datasets/unique_contexts" + ) args = parser.parse_args() diff --git a/reproduce/Step_1.py b/reproduce/Step_1.py index 08e497cb..43c44056 100644 --- a/reproduce/Step_1.py +++ b/reproduce/Step_1.py @@ -4,10 +4,11 @@ from lightrag import LightRAG + def insert_text(rag, file_path): - with open(file_path, mode='r') as f: + with open(file_path, mode="r") as f: unique_contexts = json.load(f) - + retries = 0 max_retries = 3 while retries < max_retries: @@ -21,6 +22,7 @@ def insert_text(rag, file_path): if retries == max_retries: print("Insertion failed after exceeding the maximum number of retries") + cls = "agriculture" WORKING_DIR = "../{cls}" @@ -29,4 +31,4 @@ def insert_text(rag, file_path): rag = LightRAG(working_dir=WORKING_DIR) -insert_text(rag, f"../datasets/unique_contexts/{cls}_unique_contexts.json") \ No newline at end of file +insert_text(rag, f"../datasets/unique_contexts/{cls}_unique_contexts.json") diff --git a/reproduce/Step_1_openai_compatible.py b/reproduce/Step_1_openai_compatible.py index b5c6aef3..8e67cfb8 100644 --- a/reproduce/Step_1_openai_compatible.py +++ b/reproduce/Step_1_openai_compatible.py @@ -7,6 +7,7 @@ from lightrag.utils import EmbeddingFunc from lightrag.llm import openai_complete_if_cache, openai_embedding + ## For Upstage API # please check if embedding_dim=4096 in lightrag.py and llm.py in lightrag direcotry async def llm_model_func( @@ -19,22 +20,26 @@ async def llm_model_func( history_messages=history_messages, api_key=os.getenv("UPSTAGE_API_KEY"), base_url="https://api.upstage.ai/v1/solar", - **kwargs + **kwargs, ) + async def embedding_func(texts: list[str]) -> np.ndarray: return await openai_embedding( texts, model="solar-embedding-1-large-query", api_key=os.getenv("UPSTAGE_API_KEY"), - base_url="https://api.upstage.ai/v1/solar" + base_url="https://api.upstage.ai/v1/solar", ) + + ## /For Upstage API + def insert_text(rag, file_path): - with open(file_path, mode='r') as f: + with open(file_path, mode="r") as f: unique_contexts = json.load(f) - + retries = 0 max_retries = 3 while retries < max_retries: @@ -48,19 +53,19 @@ def insert_text(rag, file_path): if retries == max_retries: print("Insertion failed after exceeding the maximum number of retries") + cls = "mix" WORKING_DIR = f"../{cls}" if not os.path.exists(WORKING_DIR): os.mkdir(WORKING_DIR) -rag = LightRAG(working_dir=WORKING_DIR, - llm_model_func=llm_model_func, - embedding_func=EmbeddingFunc( - embedding_dim=4096, - max_token_size=8192, - func=embedding_func - ) - ) +rag = LightRAG( + working_dir=WORKING_DIR, + llm_model_func=llm_model_func, + embedding_func=EmbeddingFunc( + embedding_dim=4096, max_token_size=8192, func=embedding_func + ), +) insert_text(rag, f"../datasets/unique_contexts/{cls}_unique_contexts.json") diff --git a/reproduce/Step_2.py b/reproduce/Step_2.py index b00c19b8..557c7714 100644 --- a/reproduce/Step_2.py +++ b/reproduce/Step_2.py @@ -1,8 +1,8 @@ -import os import json from openai import OpenAI from transformers import GPT2Tokenizer + def openai_complete_if_cache( model="gpt-4o", prompt=None, system_prompt=None, history_messages=[], **kwargs ) -> str: @@ -19,24 +19,26 @@ def openai_complete_if_cache( ) return response.choices[0].message.content -tokenizer = GPT2Tokenizer.from_pretrained('gpt2') + +tokenizer = GPT2Tokenizer.from_pretrained("gpt2") + def get_summary(context, tot_tokens=2000): tokens = tokenizer.tokenize(context) half_tokens = tot_tokens // 2 - start_tokens = tokens[1000:1000 + half_tokens] - end_tokens = tokens[-(1000 + half_tokens):1000] + start_tokens = tokens[1000 : 1000 + half_tokens] + end_tokens = tokens[-(1000 + half_tokens) : 1000] summary_tokens = start_tokens + end_tokens summary = tokenizer.convert_tokens_to_string(summary_tokens) - + return summary -clses = ['agriculture'] +clses = ["agriculture"] for cls in clses: - with open(f'../datasets/unique_contexts/{cls}_unique_contexts.json', mode='r') as f: + with open(f"../datasets/unique_contexts/{cls}_unique_contexts.json", mode="r") as f: unique_contexts = json.load(f) summaries = [get_summary(context) for context in unique_contexts] @@ -67,10 +69,10 @@ def get_summary(context, tot_tokens=2000): ... """ - result = openai_complete_if_cache(model='gpt-4o', prompt=prompt) + result = openai_complete_if_cache(model="gpt-4o", prompt=prompt) file_path = f"../datasets/questions/{cls}_questions.txt" with open(file_path, "w") as file: file.write(result) - print(f"{cls}_questions written to {file_path}") \ No newline at end of file + print(f"{cls}_questions written to {file_path}") diff --git a/reproduce/Step_3.py b/reproduce/Step_3.py index a79ebd17..a56190fc 100644 --- a/reproduce/Step_3.py +++ b/reproduce/Step_3.py @@ -4,16 +4,18 @@ from lightrag import LightRAG, QueryParam from tqdm import tqdm + def extract_queries(file_path): - with open(file_path, 'r') as f: + with open(file_path, "r") as f: data = f.read() - - data = data.replace('**', '') - queries = re.findall(r'- Question \d+: (.+)', data) + data = data.replace("**", "") + + queries = re.findall(r"- Question \d+: (.+)", data) return queries + async def process_query(query_text, rag_instance, query_param): try: result, context = await rag_instance.aquery(query_text, param=query_param) @@ -21,6 +23,7 @@ async def process_query(query_text, rag_instance, query_param): except Exception as e: return None, {"query": query_text, "error": str(e)} + def always_get_an_event_loop() -> asyncio.AbstractEventLoop: try: loop = asyncio.get_event_loop() @@ -29,15 +32,22 @@ def always_get_an_event_loop() -> asyncio.AbstractEventLoop: asyncio.set_event_loop(loop) return loop -def run_queries_and_save_to_json(queries, rag_instance, query_param, output_file, error_file): + +def run_queries_and_save_to_json( + queries, rag_instance, query_param, output_file, error_file +): loop = always_get_an_event_loop() - with open(output_file, 'a', encoding='utf-8') as result_file, open(error_file, 'a', encoding='utf-8') as err_file: + with open(output_file, "a", encoding="utf-8") as result_file, open( + error_file, "a", encoding="utf-8" + ) as err_file: result_file.write("[\n") first_entry = True for query_text in tqdm(queries, desc="Processing queries", unit="query"): - result, error = loop.run_until_complete(process_query(query_text, rag_instance, query_param)) + result, error = loop.run_until_complete( + process_query(query_text, rag_instance, query_param) + ) if result: if not first_entry: @@ -50,6 +60,7 @@ def run_queries_and_save_to_json(queries, rag_instance, query_param, output_file result_file.write("\n]") + if __name__ == "__main__": cls = "agriculture" mode = "hybrid" @@ -59,4 +70,6 @@ def run_queries_and_save_to_json(queries, rag_instance, query_param, output_file query_param = QueryParam(mode=mode) queries = extract_queries(f"../datasets/questions/{cls}_questions.txt") - run_queries_and_save_to_json(queries, rag, query_param, f"{cls}_result.json", f"{cls}_errors.json") + run_queries_and_save_to_json( + queries, rag, query_param, f"{cls}_result.json", f"{cls}_errors.json" + ) diff --git a/reproduce/Step_3_openai_compatible.py b/reproduce/Step_3_openai_compatible.py index 7b3079a9..2be5ea5c 100644 --- a/reproduce/Step_3_openai_compatible.py +++ b/reproduce/Step_3_openai_compatible.py @@ -8,6 +8,7 @@ from lightrag.utils import EmbeddingFunc import numpy as np + ## For Upstage API # please check if embedding_dim=4096 in lightrag.py and llm.py in lightrag direcotry async def llm_model_func( @@ -20,28 +21,33 @@ async def llm_model_func( history_messages=history_messages, api_key=os.getenv("UPSTAGE_API_KEY"), base_url="https://api.upstage.ai/v1/solar", - **kwargs + **kwargs, ) + async def embedding_func(texts: list[str]) -> np.ndarray: return await openai_embedding( texts, model="solar-embedding-1-large-query", api_key=os.getenv("UPSTAGE_API_KEY"), - base_url="https://api.upstage.ai/v1/solar" + base_url="https://api.upstage.ai/v1/solar", ) + + ## /For Upstage API + def extract_queries(file_path): - with open(file_path, 'r') as f: + with open(file_path, "r") as f: data = f.read() - - data = data.replace('**', '') - queries = re.findall(r'- Question \d+: (.+)', data) + data = data.replace("**", "") + + queries = re.findall(r"- Question \d+: (.+)", data) return queries + async def process_query(query_text, rag_instance, query_param): try: result, context = await rag_instance.aquery(query_text, param=query_param) @@ -49,6 +55,7 @@ async def process_query(query_text, rag_instance, query_param): except Exception as e: return None, {"query": query_text, "error": str(e)} + def always_get_an_event_loop() -> asyncio.AbstractEventLoop: try: loop = asyncio.get_event_loop() @@ -57,15 +64,22 @@ def always_get_an_event_loop() -> asyncio.AbstractEventLoop: asyncio.set_event_loop(loop) return loop -def run_queries_and_save_to_json(queries, rag_instance, query_param, output_file, error_file): + +def run_queries_and_save_to_json( + queries, rag_instance, query_param, output_file, error_file +): loop = always_get_an_event_loop() - with open(output_file, 'a', encoding='utf-8') as result_file, open(error_file, 'a', encoding='utf-8') as err_file: + with open(output_file, "a", encoding="utf-8") as result_file, open( + error_file, "a", encoding="utf-8" + ) as err_file: result_file.write("[\n") first_entry = True for query_text in tqdm(queries, desc="Processing queries", unit="query"): - result, error = loop.run_until_complete(process_query(query_text, rag_instance, query_param)) + result, error = loop.run_until_complete( + process_query(query_text, rag_instance, query_param) + ) if result: if not first_entry: @@ -78,22 +92,24 @@ def run_queries_and_save_to_json(queries, rag_instance, query_param, output_file result_file.write("\n]") + if __name__ == "__main__": cls = "mix" mode = "hybrid" WORKING_DIR = f"../{cls}" rag = LightRAG(working_dir=WORKING_DIR) - rag = LightRAG(working_dir=WORKING_DIR, - llm_model_func=llm_model_func, - embedding_func=EmbeddingFunc( - embedding_dim=4096, - max_token_size=8192, - func=embedding_func - ) - ) + rag = LightRAG( + working_dir=WORKING_DIR, + llm_model_func=llm_model_func, + embedding_func=EmbeddingFunc( + embedding_dim=4096, max_token_size=8192, func=embedding_func + ), + ) query_param = QueryParam(mode=mode) - base_dir='../datasets/questions' + base_dir = "../datasets/questions" queries = extract_queries(f"{base_dir}/{cls}_questions.txt") - run_queries_and_save_to_json(queries, rag, query_param, f"{base_dir}/result.json", f"{base_dir}/errors.json") + run_queries_and_save_to_json( + queries, rag, query_param, f"{base_dir}/result.json", f"{base_dir}/errors.json" + ) diff --git a/requirements.txt b/requirements.txt index a1054692..d5479dab 100644 --- a/requirements.txt +++ b/requirements.txt @@ -1,13 +1,13 @@ +accelerate aioboto3 -openai -tiktoken -networkx graspologic -nano-vectordb hnswlib -xxhash +nano-vectordb +networkx +ollama +openai tenacity -transformers +tiktoken torch -ollama -accelerate \ No newline at end of file +transformers +xxhash From eaa7445f10a108cf360791032dbc612365a7d9d1 Mon Sep 17 00:00:00 2001 From: zrguo <49157727+LarFii@users.noreply.github.com> Date: Sat, 19 Oct 2024 21:35:50 +0800 Subject: [PATCH 059/258] Update README.md --- README.md | 34 +++++++++++++++++++++++++++++++--- 1 file changed, 31 insertions(+), 3 deletions(-) diff --git a/README.md b/README.md index a3e5c1b4..e2f7e81a 100644 --- a/README.md +++ b/README.md @@ -92,7 +92,7 @@ print(rag.query("What are the top themes in this story?", param=QueryParam(mode=
Using Open AI-like APIs -LightRAG also supports Open AI-like chat/embeddings APIs: +* LightRAG also supports Open AI-like chat/embeddings APIs: ```python async def llm_model_func( prompt, system_prompt=None, history_messages=[], **kwargs @@ -130,7 +130,7 @@ rag = LightRAG(
Using Hugging Face Models -If you want to use Hugging Face models, you only need to set LightRAG as follows: +* If you want to use Hugging Face models, you only need to set LightRAG as follows: ```python from lightrag.llm import hf_model_complete, hf_embedding from transformers import AutoModel, AutoTokenizer @@ -156,7 +156,8 @@ rag = LightRAG(
Using Ollama Models -If you want to use Ollama models, you only need to set LightRAG as follows: + +* If you want to use Ollama models, you only need to set LightRAG as follows: ```python from lightrag.llm import ollama_model_complete, ollama_embedding @@ -177,6 +178,29 @@ rag = LightRAG( ), ) ``` + +* Increasing the `num_ctx` parameter: + +1. Pull the model: +```python +ollama pull qwen2 +``` + +2. Display the model file: +```python +ollama show --modelfile qwen2 > Modelfile +``` + +3. Edit the Modelfile by adding the following line: +```python +PARAMETER num_ctx 32768 +``` + +4. Create the modified model: +```python +ollama create -f Modelfile qwen2m +``` +
### Batch Insert @@ -441,6 +465,8 @@ def extract_queries(file_path): ├── examples │ ├── batch_eval.py │ ├── generate_query.py +│ ├── lightrag_azure_openai_demo.py +│ ├── lightrag_bedrock_demo.py │ ├── lightrag_hf_demo.py │ ├── lightrag_ollama_demo.py │ ├── lightrag_openai_compatible_demo.py @@ -459,6 +485,8 @@ def extract_queries(file_path): │ ├── Step_1.py │ ├── Step_2.py │ └── Step_3.py +├── .gitignore +├── .pre-commit-config.yaml ├── LICENSE ├── README.md ├── requirements.txt From 6206e0e3405b48070b8e04850bcedb588455b0ab Mon Sep 17 00:00:00 2001 From: nongbin Date: Sun, 20 Oct 2024 09:55:52 +0800 Subject: [PATCH 060/258] add visualizing graph --- .gitignore | 1 + .idea/.gitignore | 8 ++++ .idea/LightRAG.iml | 12 ++++++ .idea/inspectionProfiles/Project_Default.xml | 38 +++++++++++++++++++ .../inspectionProfiles/profiles_settings.xml | 6 +++ .idea/misc.xml | 7 ++++ .idea/modules.xml | 8 ++++ .idea/vcs.xml | 6 +++ examples/graph_visual.py | 14 +++++++ requirements.txt | 1 + 10 files changed, 101 insertions(+) create mode 100644 .idea/.gitignore create mode 100644 .idea/LightRAG.iml create mode 100644 .idea/inspectionProfiles/Project_Default.xml create mode 100644 .idea/inspectionProfiles/profiles_settings.xml create mode 100644 .idea/misc.xml create mode 100644 .idea/modules.xml create mode 100644 .idea/vcs.xml create mode 100644 examples/graph_visual.py diff --git a/.gitignore b/.gitignore index 50f384ec..208668c5 100644 --- a/.gitignore +++ b/.gitignore @@ -3,3 +3,4 @@ __pycache__ dickens/ book.txt lightrag-dev/ +*.idea \ No newline at end of file diff --git a/.idea/.gitignore b/.idea/.gitignore new file mode 100644 index 00000000..13566b81 --- /dev/null +++ b/.idea/.gitignore @@ -0,0 +1,8 @@ +# Default ignored files +/shelf/ +/workspace.xml +# Editor-based HTTP Client requests +/httpRequests/ +# Datasource local storage ignored files +/dataSources/ +/dataSources.local.xml diff --git a/.idea/LightRAG.iml b/.idea/LightRAG.iml new file mode 100644 index 00000000..8b8c3954 --- /dev/null +++ b/.idea/LightRAG.iml @@ -0,0 +1,12 @@ + + + + + + + + + + \ No newline at end of file diff --git a/.idea/inspectionProfiles/Project_Default.xml b/.idea/inspectionProfiles/Project_Default.xml new file mode 100644 index 00000000..c41eaf20 --- /dev/null +++ b/.idea/inspectionProfiles/Project_Default.xml @@ -0,0 +1,38 @@ + + + + \ No newline at end of file diff --git a/.idea/inspectionProfiles/profiles_settings.xml b/.idea/inspectionProfiles/profiles_settings.xml new file mode 100644 index 00000000..105ce2da --- /dev/null +++ b/.idea/inspectionProfiles/profiles_settings.xml @@ -0,0 +1,6 @@ + + + + \ No newline at end of file diff --git a/.idea/misc.xml b/.idea/misc.xml new file mode 100644 index 00000000..676ac0f0 --- /dev/null +++ b/.idea/misc.xml @@ -0,0 +1,7 @@ + + + + + + \ No newline at end of file diff --git a/.idea/modules.xml b/.idea/modules.xml new file mode 100644 index 00000000..145d7086 --- /dev/null +++ b/.idea/modules.xml @@ -0,0 +1,8 @@ + + + + + + + + \ No newline at end of file diff --git a/.idea/vcs.xml b/.idea/vcs.xml new file mode 100644 index 00000000..35eb1ddf --- /dev/null +++ b/.idea/vcs.xml @@ -0,0 +1,6 @@ + + + + + + \ No newline at end of file diff --git a/examples/graph_visual.py b/examples/graph_visual.py new file mode 100644 index 00000000..72c72bad --- /dev/null +++ b/examples/graph_visual.py @@ -0,0 +1,14 @@ +import networkx as nx +from pyvis.network import Network + +# Load the GraphML file +G = nx.read_graphml('./dickens/graph_chunk_entity_relation.graphml') + +# Create a Pyvis network +net = Network(notebook=True) + +# Convert NetworkX graph to Pyvis network +net.from_nx(G) + +# Save and display the network +net.show('knowledge_graph.html') \ No newline at end of file diff --git a/requirements.txt b/requirements.txt index d5479dab..9cc5b7e9 100644 --- a/requirements.txt +++ b/requirements.txt @@ -11,3 +11,4 @@ tiktoken torch transformers xxhash +pyvis \ No newline at end of file From aa21b9dbf20a0093cfd423c2195a76e5ebbcd15b Mon Sep 17 00:00:00 2001 From: nongbin Date: Sun, 20 Oct 2024 09:57:14 +0800 Subject: [PATCH 061/258] delete not used files --- .idea/.gitignore | 8 ---- .idea/LightRAG.iml | 12 ------ .idea/inspectionProfiles/Project_Default.xml | 38 ------------------- .../inspectionProfiles/profiles_settings.xml | 6 --- .idea/misc.xml | 7 ---- .idea/modules.xml | 8 ---- .idea/vcs.xml | 6 --- 7 files changed, 85 deletions(-) delete mode 100644 .idea/.gitignore delete mode 100644 .idea/LightRAG.iml delete mode 100644 .idea/inspectionProfiles/Project_Default.xml delete mode 100644 .idea/inspectionProfiles/profiles_settings.xml delete mode 100644 .idea/misc.xml delete mode 100644 .idea/modules.xml delete mode 100644 .idea/vcs.xml diff --git a/.idea/.gitignore b/.idea/.gitignore deleted file mode 100644 index 13566b81..00000000 --- a/.idea/.gitignore +++ /dev/null @@ -1,8 +0,0 @@ -# Default ignored files -/shelf/ -/workspace.xml -# Editor-based HTTP Client requests -/httpRequests/ -# Datasource local storage ignored files -/dataSources/ -/dataSources.local.xml diff --git a/.idea/LightRAG.iml b/.idea/LightRAG.iml deleted file mode 100644 index 8b8c3954..00000000 --- a/.idea/LightRAG.iml +++ /dev/null @@ -1,12 +0,0 @@ - - - - - - - - - - \ No newline at end of file diff --git a/.idea/inspectionProfiles/Project_Default.xml b/.idea/inspectionProfiles/Project_Default.xml deleted file mode 100644 index c41eaf20..00000000 --- a/.idea/inspectionProfiles/Project_Default.xml +++ /dev/null @@ -1,38 +0,0 @@ - - - - \ No newline at end of file diff --git a/.idea/inspectionProfiles/profiles_settings.xml b/.idea/inspectionProfiles/profiles_settings.xml deleted file mode 100644 index 105ce2da..00000000 --- a/.idea/inspectionProfiles/profiles_settings.xml +++ /dev/null @@ -1,6 +0,0 @@ - - - - \ No newline at end of file diff --git a/.idea/misc.xml b/.idea/misc.xml deleted file mode 100644 index 676ac0f0..00000000 --- a/.idea/misc.xml +++ /dev/null @@ -1,7 +0,0 @@ - - - - - - \ No newline at end of file diff --git a/.idea/modules.xml b/.idea/modules.xml deleted file mode 100644 index 145d7086..00000000 --- a/.idea/modules.xml +++ /dev/null @@ -1,8 +0,0 @@ - - - - - - - - \ No newline at end of file diff --git a/.idea/vcs.xml b/.idea/vcs.xml deleted file mode 100644 index 35eb1ddf..00000000 --- a/.idea/vcs.xml +++ /dev/null @@ -1,6 +0,0 @@ - - - - - - \ No newline at end of file From d78c78276b79ee492bc0382646a46dbb369f73d2 Mon Sep 17 00:00:00 2001 From: nongbin Date: Sun, 20 Oct 2024 10:04:34 +0800 Subject: [PATCH 062/258] ignore idea files --- .gitignore | 2 +- 1 file changed, 1 insertion(+), 1 deletion(-) diff --git a/.gitignore b/.gitignore index 208668c5..edfbfbfc 100644 --- a/.gitignore +++ b/.gitignore @@ -3,4 +3,4 @@ __pycache__ dickens/ book.txt lightrag-dev/ -*.idea \ No newline at end of file +.idea/ \ No newline at end of file From 2432fea90dffbe975102f0b250ec8a0bd07e27c0 Mon Sep 17 00:00:00 2001 From: hanbin49 <554066527@qq.com> Date: Sun, 20 Oct 2024 11:27:47 +0800 Subject: [PATCH 063/258] 'update' --- examples/vram_management_demo.py | 82 ++++++++++++++++++++++++++++++++ 1 file changed, 82 insertions(+) create mode 100644 examples/vram_management_demo.py diff --git a/examples/vram_management_demo.py b/examples/vram_management_demo.py new file mode 100644 index 00000000..505e4761 --- /dev/null +++ b/examples/vram_management_demo.py @@ -0,0 +1,82 @@ +import os +import time +from lightrag import LightRAG, QueryParam +from lightrag.llm import ollama_model_complete, ollama_embedding +from lightrag.utils import EmbeddingFunc + +# 工作目录和文本文件目录路径 +WORKING_DIR = "./dickens" +TEXT_FILES_DIR = "/llm/mt" + +# 如果工作目录不存在，则创建该目录 +if not os.path.exists(WORKING_DIR): + os.mkdir(WORKING_DIR) + +# 初始化 LightRAG +rag = LightRAG( + working_dir=WORKING_DIR, + llm_model_func=ollama_model_complete, + llm_model_name="qwen2.5:3b-instruct-max-context", + embedding_func=EmbeddingFunc( + embedding_dim=768, + max_token_size=8192, + func=lambda texts: ollama_embedding(texts, embed_model="nomic-embed-text"), + ), +) + +# 读取 TEXT_FILES_DIR 目录下所有的 .txt 文件 +texts = [] +for filename in os.listdir(TEXT_FILES_DIR): + if filename.endswith('.txt'): + file_path = os.path.join(TEXT_FILES_DIR, filename) + with open(file_path, 'r', encoding='utf-8') as file: + texts.append(file.read()) + +# 批量插入文本到 LightRAG，带有重试机制 +def insert_texts_with_retry(rag, texts, retries=3, delay=5): + for _ in range(retries): + try: + rag.insert(texts) + return + except Exception as e: + print(f"Error occurred during insertion: {e}. Retrying in {delay} seconds...") + time.sleep(delay) + raise RuntimeError("Failed to insert texts after multiple retries.") + +insert_texts_with_retry(rag, texts) + +# 执行不同类型的查询，并处理潜在的错误 +try: + print(rag.query("What are the top themes in this story?", param=QueryParam(mode="naive"))) +except Exception as e: + print(f"Error performing naive search: {e}") + +try: + print(rag.query("What are the top themes in this story?", param=QueryParam(mode="local"))) +except Exception as e: + print(f"Error performing local search: {e}") + +try: + print(rag.query("What are the top themes in this story?", param=QueryParam(mode="global"))) +except Exception as e: + print(f"Error performing global search: {e}") + +try: + print(rag.query("What are the top themes in this story?", param=QueryParam(mode="hybrid"))) +except Exception as e: + print(f"Error performing hybrid search: {e}") + +# 清理 VRAM 资源的函数 +def clear_vram(): + os.system("sudo nvidia-smi --gpu-reset") + +# 定期清理 VRAM 以防止溢出 +clear_vram_interval = 3600 # 每小时清理一次 +start_time = time.time() + +while True: + current_time = time.time() + if current_time - start_time > clear_vram_interval: + clear_vram() + start_time = current_time + time.sleep(60) # 每分钟检查一次时间 \ No newline at end of file From 004c870d5021b456b1dba3de5a440dc03cb20d88 Mon Sep 17 00:00:00 2001 From: zrguo <49157727+LarFii@users.noreply.github.com> Date: Sun, 20 Oct 2024 18:08:49 +0800 Subject: [PATCH 064/258] Add vram_management_demo.py --- examples/vram_management_demo.py | 20 ++++++++++---------- 1 file changed, 10 insertions(+), 10 deletions(-) diff --git a/examples/vram_management_demo.py b/examples/vram_management_demo.py index 505e4761..ec750254 100644 --- a/examples/vram_management_demo.py +++ b/examples/vram_management_demo.py @@ -4,15 +4,15 @@ from lightrag.llm import ollama_model_complete, ollama_embedding from lightrag.utils import EmbeddingFunc -# 工作目录和文本文件目录路径 +# Working directory and the directory path for text files WORKING_DIR = "./dickens" TEXT_FILES_DIR = "/llm/mt" -# 如果工作目录不存在，则创建该目录 +# Create the working directory if it doesn't exist if not os.path.exists(WORKING_DIR): os.mkdir(WORKING_DIR) -# 初始化 LightRAG +# Initialize LightRAG rag = LightRAG( working_dir=WORKING_DIR, llm_model_func=ollama_model_complete, @@ -24,7 +24,7 @@ ), ) -# 读取 TEXT_FILES_DIR 目录下所有的 .txt 文件 +# Read all .txt files from the TEXT_FILES_DIR directory texts = [] for filename in os.listdir(TEXT_FILES_DIR): if filename.endswith('.txt'): @@ -32,7 +32,7 @@ with open(file_path, 'r', encoding='utf-8') as file: texts.append(file.read()) -# 批量插入文本到 LightRAG，带有重试机制 +# Batch insert texts into LightRAG with a retry mechanism def insert_texts_with_retry(rag, texts, retries=3, delay=5): for _ in range(retries): try: @@ -45,7 +45,7 @@ def insert_texts_with_retry(rag, texts, retries=3, delay=5): insert_texts_with_retry(rag, texts) -# 执行不同类型的查询，并处理潜在的错误 +# Perform different types of queries and handle potential errors try: print(rag.query("What are the top themes in this story?", param=QueryParam(mode="naive"))) except Exception as e: @@ -66,12 +66,12 @@ def insert_texts_with_retry(rag, texts, retries=3, delay=5): except Exception as e: print(f"Error performing hybrid search: {e}") -# 清理 VRAM 资源的函数 +# Function to clear VRAM resources def clear_vram(): os.system("sudo nvidia-smi --gpu-reset") -# 定期清理 VRAM 以防止溢出 -clear_vram_interval = 3600 # 每小时清理一次 +# Regularly clear VRAM to prevent overflow +clear_vram_interval = 3600 # Clear once every hour start_time = time.time() while True: @@ -79,4 +79,4 @@ def clear_vram(): if current_time - start_time > clear_vram_interval: clear_vram() start_time = current_time - time.sleep(60) # 每分钟检查一次时间 \ No newline at end of file + time.sleep(60) # Check the time every minute From 905db5908a6ca66d9b61b5971d9557ba71c88a6e Mon Sep 17 00:00:00 2001 From: zrguo <49157727+LarFii@users.noreply.github.com> Date: Sun, 20 Oct 2024 18:10:00 +0800 Subject: [PATCH 065/258] Update README.md --- README.md | 3 ++- 1 file changed, 2 insertions(+), 1 deletion(-) diff --git a/README.md b/README.md index e2f7e81a..bf996f82 100644 --- a/README.md +++ b/README.md @@ -470,7 +470,8 @@ def extract_queries(file_path): │ ├── lightrag_hf_demo.py │ ├── lightrag_ollama_demo.py │ ├── lightrag_openai_compatible_demo.py -│ └── lightrag_openai_demo.py +│ ├── lightrag_openai_demo.py +│ └── vram_management_demo.py ├── lightrag │ ├── __init__.py │ ├── base.py From 6be119c2dd875ec3c1cd862d967206430b1d4b64 Mon Sep 17 00:00:00 2001 From: zrguo <49157727+LarFii@users.noreply.github.com> Date: Sun, 20 Oct 2024 18:22:43 +0800 Subject: [PATCH 066/258] Update README.md --- README.md | 21 +++++++++++++++++++++ 1 file changed, 21 insertions(+) diff --git a/README.md b/README.md index bf996f82..c8d6e312 100644 --- a/README.md +++ b/README.md @@ -218,6 +218,26 @@ rag = LightRAG(working_dir="./dickens") with open("./newText.txt") as f: rag.insert(f.read()) ``` + +### Graph Visualization + +* Generate html file +```python +import networkx as nx +from pyvis.network import Network + +# Load the GraphML file +G = nx.read_graphml('./dickens/graph_chunk_entity_relation.graphml') + +# Create a Pyvis network +net = Network(notebook=True) + +# Convert NetworkX graph to Pyvis network +net.from_nx(G) + +# Save and display the network +net.show('knowledge_graph.html') +``` ## Evaluation ### Dataset The dataset used in LightRAG can be downloaded from [TommyChien/UltraDomain](https://huggingface.co/datasets/TommyChien/UltraDomain). @@ -465,6 +485,7 @@ def extract_queries(file_path): ├── examples │ ├── batch_eval.py │ ├── generate_query.py +│ ├── graph_visual.py │ ├── lightrag_azure_openai_demo.py │ ├── lightrag_bedrock_demo.py │ ├── lightrag_hf_demo.py From 1b45fe26c701962274cc2a1b2129e6a581ea79c3 Mon Sep 17 00:00:00 2001 From: nongbin Date: Sun, 20 Oct 2024 21:17:09 +0800 Subject: [PATCH 067/258] make graph visualization become colorful --- examples/graph_visual.py | 5 +++++ 1 file changed, 5 insertions(+) diff --git a/examples/graph_visual.py b/examples/graph_visual.py index 72c72bad..b455e6de 100644 --- a/examples/graph_visual.py +++ b/examples/graph_visual.py @@ -1,5 +1,6 @@ import networkx as nx from pyvis.network import Network +import random # Load the GraphML file G = nx.read_graphml('./dickens/graph_chunk_entity_relation.graphml') @@ -10,5 +11,9 @@ # Convert NetworkX graph to Pyvis network net.from_nx(G) +# Add colors to nodes +for node in net.nodes: + node['color'] = "#{:06x}".format(random.randint(0, 0xFFFFFF)) + # Save and display the network net.show('knowledge_graph.html') \ No newline at end of file From bcd81e3a50e06e14730a81cb5b03f745b71e29ac Mon Sep 17 00:00:00 2001 From: LarFii <834462287@qq.com> Date: Sun, 20 Oct 2024 23:08:26 +0800 Subject: [PATCH 068/258] Add visualization methods --- .gitignore | 3 +- README.md | 141 +++++++++++++++++- ...ph_visual.py => graph_visual_with_html.py} | 0 examples/graph_visual_with_neo4j.py | 118 +++++++++++++++ lightrag/utils.py | 49 ++++++ 5 files changed, 308 insertions(+), 3 deletions(-) rename examples/{graph_visual.py => graph_visual_with_html.py} (100%) create mode 100644 examples/graph_visual_with_neo4j.py diff --git a/.gitignore b/.gitignore index edfbfbfc..5a41ae32 100644 --- a/.gitignore +++ b/.gitignore @@ -3,4 +3,5 @@ __pycache__ dickens/ book.txt lightrag-dev/ -.idea/ \ No newline at end of file +.idea/ +dist/ \ No newline at end of file diff --git a/README.md b/README.md index c8d6e312..89e50aa0 100644 --- a/README.md +++ b/README.md @@ -22,6 +22,7 @@ This repository hosts the code of LightRAG. The structure of this code is based ## 🎉 News +- [x] [2024.10.20]🎯🎯📢📢We add two methods to visualize the graph. - [x] [2024.10.18]🎯🎯📢📢We’ve added a link to a [LightRAG Introduction Video](https://youtu.be/oageL-1I0GE). Thanks to the author! - [x] [2024.10.17]🎯🎯📢📢We have created a [Discord channel](https://discord.gg/mvsfu2Tg)! Welcome to join for sharing and discussions! 🎉🎉 - [x] [2024.10.16]🎯🎯📢📢LightRAG now supports [Ollama models](https://github.com/HKUDS/LightRAG?tab=readme-ov-file#quick-start)! @@ -221,7 +222,11 @@ with open("./newText.txt") as f: ### Graph Visualization -* Generate html file +
+ Graph visualization with html + +* The following code can be found in `examples/graph_visual_with_html.py` + ```python import networkx as nx from pyvis.network import Network @@ -238,6 +243,137 @@ net.from_nx(G) # Save and display the network net.show('knowledge_graph.html') ``` + +
+ +
+ Graph visualization with Neo4j + +* The following code can be found in `examples/graph_visual_with_neo4j.py` + +```python +import os +import json +from lightrag.utils import xml_to_json +from neo4j import GraphDatabase + +# Constants +WORKING_DIR = "./dickens" +BATCH_SIZE_NODES = 500 +BATCH_SIZE_EDGES = 100 + +# Neo4j connection credentials +NEO4J_URI = "bolt://localhost:7687" +NEO4J_USERNAME = "neo4j" +NEO4J_PASSWORD = "your_password" + +def convert_xml_to_json(xml_path, output_path): + """Converts XML file to JSON and saves the output.""" + if not os.path.exists(xml_path): + print(f"Error: File not found - {xml_path}") + return None + + json_data = xml_to_json(xml_path) + if json_data: + with open(output_path, 'w', encoding='utf-8') as f: + json.dump(json_data, f, ensure_ascii=False, indent=2) + print(f"JSON file created: {output_path}") + return json_data + else: + print("Failed to create JSON data") + return None + +def process_in_batches(tx, query, data, batch_size): + """Process data in batches and execute the given query.""" + for i in range(0, len(data), batch_size): + batch = data[i:i + batch_size] + tx.run(query, {"nodes": batch} if "nodes" in query else {"edges": batch}) + +def main(): + # Paths + xml_file = os.path.join(WORKING_DIR, 'graph_chunk_entity_relation.graphml') + json_file = os.path.join(WORKING_DIR, 'graph_data.json') + + # Convert XML to JSON + json_data = convert_xml_to_json(xml_file, json_file) + if json_data is None: + return + + # Load nodes and edges + nodes = json_data.get('nodes', []) + edges = json_data.get('edges', []) + + # Neo4j queries + create_nodes_query = """ + UNWIND $nodes AS node + MERGE (e:Entity {id: node.id}) + SET e.entity_type = node.entity_type, + e.description = node.description, + e.source_id = node.source_id, + e.displayName = node.id + REMOVE e:Entity + WITH e, node + CALL apoc.create.addLabels(e, [node.entity_type]) YIELD node AS labeledNode + RETURN count(*) + """ + + create_edges_query = """ + UNWIND $edges AS edge + MATCH (source {id: edge.source}) + MATCH (target {id: edge.target}) + WITH source, target, edge, + CASE + WHEN edge.keywords CONTAINS 'lead' THEN 'lead' + WHEN edge.keywords CONTAINS 'participate' THEN 'participate' + WHEN edge.keywords CONTAINS 'uses' THEN 'uses' + WHEN edge.keywords CONTAINS 'located' THEN 'located' + WHEN edge.keywords CONTAINS 'occurs' THEN 'occurs' + ELSE REPLACE(SPLIT(edge.keywords, ',')[0], '\"', '') + END AS relType + CALL apoc.create.relationship(source, relType, { + weight: edge.weight, + description: edge.description, + keywords: edge.keywords, + source_id: edge.source_id + }, target) YIELD rel + RETURN count(*) + """ + + set_displayname_and_labels_query = """ + MATCH (n) + SET n.displayName = n.id + WITH n + CALL apoc.create.setLabels(n, [n.entity_type]) YIELD node + RETURN count(*) + """ + + # Create a Neo4j driver + driver = GraphDatabase.driver(NEO4J_URI, auth=(NEO4J_USERNAME, NEO4J_PASSWORD)) + + try: + # Execute queries in batches + with driver.session() as session: + # Insert nodes in batches + session.execute_write(process_in_batches, create_nodes_query, nodes, BATCH_SIZE_NODES) + + # Insert edges in batches + session.execute_write(process_in_batches, create_edges_query, edges, BATCH_SIZE_EDGES) + + # Set displayName and labels + session.run(set_displayname_and_labels_query) + + except Exception as e: + print(f"Error occurred: {e}") + + finally: + driver.close() + +if __name__ == "__main__": + main() +``` + +
+ ## Evaluation ### Dataset The dataset used in LightRAG can be downloaded from [TommyChien/UltraDomain](https://huggingface.co/datasets/TommyChien/UltraDomain). @@ -484,8 +620,9 @@ def extract_queries(file_path): . ├── examples │ ├── batch_eval.py +│ ├── graph_visual_with_html.py +│ ├── graph_visual_with_neo4j.py │ ├── generate_query.py -│ ├── graph_visual.py │ ├── lightrag_azure_openai_demo.py │ ├── lightrag_bedrock_demo.py │ ├── lightrag_hf_demo.py diff --git a/examples/graph_visual.py b/examples/graph_visual_with_html.py similarity index 100% rename from examples/graph_visual.py rename to examples/graph_visual_with_html.py diff --git a/examples/graph_visual_with_neo4j.py b/examples/graph_visual_with_neo4j.py new file mode 100644 index 00000000..22dde368 --- /dev/null +++ b/examples/graph_visual_with_neo4j.py @@ -0,0 +1,118 @@ +import os +import json +from lightrag.utils import xml_to_json +from neo4j import GraphDatabase + +# Constants +WORKING_DIR = "./dickens" +BATCH_SIZE_NODES = 500 +BATCH_SIZE_EDGES = 100 + +# Neo4j connection credentials +NEO4J_URI = "bolt://localhost:7687" +NEO4J_USERNAME = "neo4j" +NEO4J_PASSWORD = "your_password" + +def convert_xml_to_json(xml_path, output_path): + """Converts XML file to JSON and saves the output.""" + if not os.path.exists(xml_path): + print(f"Error: File not found - {xml_path}") + return None + + json_data = xml_to_json(xml_path) + if json_data: + with open(output_path, 'w', encoding='utf-8') as f: + json.dump(json_data, f, ensure_ascii=False, indent=2) + print(f"JSON file created: {output_path}") + return json_data + else: + print("Failed to create JSON data") + return None + +def process_in_batches(tx, query, data, batch_size): + """Process data in batches and execute the given query.""" + for i in range(0, len(data), batch_size): + batch = data[i:i + batch_size] + tx.run(query, {"nodes": batch} if "nodes" in query else {"edges": batch}) + +def main(): + # Paths + xml_file = os.path.join(WORKING_DIR, 'graph_chunk_entity_relation.graphml') + json_file = os.path.join(WORKING_DIR, 'graph_data.json') + + # Convert XML to JSON + json_data = convert_xml_to_json(xml_file, json_file) + if json_data is None: + return + + # Load nodes and edges + nodes = json_data.get('nodes', []) + edges = json_data.get('edges', []) + + # Neo4j queries + create_nodes_query = """ + UNWIND $nodes AS node + MERGE (e:Entity {id: node.id}) + SET e.entity_type = node.entity_type, + e.description = node.description, + e.source_id = node.source_id, + e.displayName = node.id + REMOVE e:Entity + WITH e, node + CALL apoc.create.addLabels(e, [node.entity_type]) YIELD node AS labeledNode + RETURN count(*) + """ + + create_edges_query = """ + UNWIND $edges AS edge + MATCH (source {id: edge.source}) + MATCH (target {id: edge.target}) + WITH source, target, edge, + CASE + WHEN edge.keywords CONTAINS 'lead' THEN 'lead' + WHEN edge.keywords CONTAINS 'participate' THEN 'participate' + WHEN edge.keywords CONTAINS 'uses' THEN 'uses' + WHEN edge.keywords CONTAINS 'located' THEN 'located' + WHEN edge.keywords CONTAINS 'occurs' THEN 'occurs' + ELSE REPLACE(SPLIT(edge.keywords, ',')[0], '\"', '') + END AS relType + CALL apoc.create.relationship(source, relType, { + weight: edge.weight, + description: edge.description, + keywords: edge.keywords, + source_id: edge.source_id + }, target) YIELD rel + RETURN count(*) + """ + + set_displayname_and_labels_query = """ + MATCH (n) + SET n.displayName = n.id + WITH n + CALL apoc.create.setLabels(n, [n.entity_type]) YIELD node + RETURN count(*) + """ + + # Create a Neo4j driver + driver = GraphDatabase.driver(NEO4J_URI, auth=(NEO4J_USERNAME, NEO4J_PASSWORD)) + + try: + # Execute queries in batches + with driver.session() as session: + # Insert nodes in batches + session.execute_write(process_in_batches, create_nodes_query, nodes, BATCH_SIZE_NODES) + + # Insert edges in batches + session.execute_write(process_in_batches, create_edges_query, edges, BATCH_SIZE_EDGES) + + # Set displayName and labels + session.run(set_displayname_and_labels_query) + + except Exception as e: + print(f"Error occurred: {e}") + + finally: + driver.close() + +if __name__ == "__main__": + main() diff --git a/lightrag/utils.py b/lightrag/utils.py index 67d094c6..9a68c16b 100644 --- a/lightrag/utils.py +++ b/lightrag/utils.py @@ -8,6 +8,7 @@ from functools import wraps from hashlib import md5 from typing import Any, Union +import xml.etree.ElementTree as ET import numpy as np import tiktoken @@ -183,3 +184,51 @@ def list_of_list_to_csv(data: list[list]): def save_data_to_file(data, file_name): with open(file_name, "w", encoding="utf-8") as f: json.dump(data, f, ensure_ascii=False, indent=4) + +def xml_to_json(xml_file): + try: + tree = ET.parse(xml_file) + root = tree.getroot() + + # Print the root element's tag and attributes to confirm the file has been correctly loaded + print(f"Root element: {root.tag}") + print(f"Root attributes: {root.attrib}") + + data = { + "nodes": [], + "edges": [] + } + + # Use namespace + namespace = {'': 'http://graphml.graphdrawing.org/xmlns'} + + for node in root.findall('.//node', namespace): + node_data = { + "id": node.get('id').strip('"'), + "entity_type": node.find("./data[@key='d0']", namespace).text.strip('"') if node.find("./data[@key='d0']", namespace) is not None else "", + "description": node.find("./data[@key='d1']", namespace).text if node.find("./data[@key='d1']", namespace) is not None else "", + "source_id": node.find("./data[@key='d2']", namespace).text if node.find("./data[@key='d2']", namespace) is not None else "" + } + data["nodes"].append(node_data) + + for edge in root.findall('.//edge', namespace): + edge_data = { + "source": edge.get('source').strip('"'), + "target": edge.get('target').strip('"'), + "weight": float(edge.find("./data[@key='d3']", namespace).text) if edge.find("./data[@key='d3']", namespace) is not None else 0.0, + "description": edge.find("./data[@key='d4']", namespace).text if edge.find("./data[@key='d4']", namespace) is not None else "", + "keywords": edge.find("./data[@key='d5']", namespace).text if edge.find("./data[@key='d5']", namespace) is not None else "", + "source_id": edge.find("./data[@key='d6']", namespace).text if edge.find("./data[@key='d6']", namespace) is not None else "" + } + data["edges"].append(edge_data) + + # Print the number of nodes and edges found + print(f"Found {len(data['nodes'])} nodes and {len(data['edges'])} edges") + + return data + except ET.ParseError as e: + print(f"Error parsing XML file: {e}") + return None + except Exception as e: + print(f"An error occurred: {e}") + return None From 6924a5f1794bdc998fe294cb875b00ade139f530 Mon Sep 17 00:00:00 2001 From: LarFii <834462287@qq.com> Date: Sun, 20 Oct 2024 23:10:07 +0800 Subject: [PATCH 069/258] Update __init__.py --- lightrag/__init__.py | 2 +- 1 file changed, 1 insertion(+), 1 deletion(-) diff --git a/lightrag/__init__.py b/lightrag/__init__.py index f208177f..db81e005 100644 --- a/lightrag/__init__.py +++ b/lightrag/__init__.py @@ -1,5 +1,5 @@ from .lightrag import LightRAG as LightRAG, QueryParam as QueryParam -__version__ = "0.0.6" +__version__ = "0.0.7" __author__ = "Zirui Guo" __url__ = "https://github.com/HKUDS/LightRAG" From 08caaa0b53a05e27bee1d26e44a66139f7323426 Mon Sep 17 00:00:00 2001 From: =?UTF-8?q?=E2=9C=A8Data=20Intelligence=20Lab=40HKU=E2=9C=A8?= <118165258+HKUDS@users.noreply.github.com> Date: Mon, 21 Oct 2024 01:18:46 +0800 Subject: [PATCH 070/258] Update README.md --- README.md | 2 +- 1 file changed, 1 insertion(+), 1 deletion(-) diff --git a/README.md b/README.md index 89e50aa0..b345c1d1 100644 --- a/README.md +++ b/README.md @@ -22,7 +22,7 @@ This repository hosts the code of LightRAG. The structure of this code is based ## 🎉 News -- [x] [2024.10.20]🎯🎯📢📢We add two methods to visualize the graph. +- [x] [2024.10.20]🎯🎯📢📢We’ve added a new feature to LightRAG: Graph Visualization. - [x] [2024.10.18]🎯🎯📢📢We’ve added a link to a [LightRAG Introduction Video](https://youtu.be/oageL-1I0GE). Thanks to the author! - [x] [2024.10.17]🎯🎯📢📢We have created a [Discord channel](https://discord.gg/mvsfu2Tg)! Welcome to join for sharing and discussions! 🎉🎉 - [x] [2024.10.16]🎯🎯📢📢LightRAG now supports [Ollama models](https://github.com/HKUDS/LightRAG?tab=readme-ov-file#quick-start)! From 133fb1554fe5e65bfda56827b41b93aa67f68f8e Mon Sep 17 00:00:00 2001 From: Sebastian Schramm Date: Mon, 21 Oct 2024 11:23:12 +0200 Subject: [PATCH 071/258] add import and rm duplicate working dir in README --- README.md | 3 +-- 1 file changed, 1 insertion(+), 2 deletions(-) diff --git a/README.md b/README.md index b345c1d1..2ea4f7e9 100644 --- a/README.md +++ b/README.md @@ -51,6 +51,7 @@ curl https://raw.githubusercontent.com/gusye1234/nano-graphrag/main/tests/mock_d Use the below Python snippet (in a script) to initialize LightRAG and perform queries: ```python +import os from lightrag import LightRAG, QueryParam from lightrag.llm import gpt_4o_mini_complete, gpt_4o_complete @@ -63,8 +64,6 @@ from lightrag.llm import gpt_4o_mini_complete, gpt_4o_complete WORKING_DIR = "./dickens" -WORKING_DIR = "./dickens" - if not os.path.exists(WORKING_DIR): os.mkdir(WORKING_DIR) From 108fc4a1ee3e65ee9a28018ec60eea94956f5df4 Mon Sep 17 00:00:00 2001 From: Andrii Lazarchuk Date: Mon, 21 Oct 2024 11:53:06 +0000 Subject: [PATCH 072/258] Add ability to passadditional parameters to ollama library like host and timeout --- .gitignore | 121 +++++++++++++++++++++++++++++++ examples/lightrag_ollama_demo.py | 31 +++++--- lightrag/lightrag.py | 3 +- lightrag/llm.py | 9 ++- 4 files changed, 151 insertions(+), 13 deletions(-) create mode 100644 .gitignore diff --git a/.gitignore b/.gitignore new file mode 100644 index 00000000..422c67ce --- /dev/null +++ b/.gitignore @@ -0,0 +1,121 @@ +# Byte-compiled / optimized / DLL files +__pycache__/ +*.py[cod] +*$py.class + +# C extensions +*.so + +# Distribution / packaging +.Python +env/ +venv/ +ENV/ +env.bak/ +venv.bak/ +*.egg +*.egg-info/ +dist/ +build/ +*.whl + +# PyInstaller +# Usually these files are written by a python script from a template +# before PyInstaller builds the exe, so as to inject date/other infos into it. +*.manifest +*.spec + +# Installer logs +pip-log.txt +pip-delete-this-directory.txt + +# Unit test / coverage reports +htmlcov/ +.tox/ +.nox/ +.coverage +.coverage.* +.cache +nosetests.xml +coverage.xml +*.cover +*.py,cover +.hypothesis/ + +# Translations +*.mo +*.pot + +# Django stuff: +*.log +local_settings.py +db.sqlite3 +db.sqlite3-journal + +# Flask stuff: +instance/ +.webassets-cache + +# Scrapy stuff: +.scrapy + +# Sphinx documentation +docs/_build/ + +# PyBuilder +target/ + +# Jupyter Notebook +.ipynb_checkpoints + +# IPython +profile_default/ +ipython_config.py + +# pyenv +.python-version + +# celery beat schedule file +celerybeat-schedule + +# SageMath parsed files +*.sage.py + +# Environments +.env +.env.* +.venv +.venv.* +env/ +venv/ +ENV/ +env.bak/ +venv.bak/ + +# Spyder project settings +.spyderproject +.spyderworkspace + +# Rope project settings +.ropeproject + +# mkdocs documentation +/site + +# mypy +.mypy_cache/ +.dmypy.json +dmypy.json + +# Pyre type checker +.pyre/ + +# pytype static type analyzer +.pytype/ + +# Cython debug symbols +cython_debug/ + +# Example files +book.txt +dickens/ diff --git a/examples/lightrag_ollama_demo.py b/examples/lightrag_ollama_demo.py index a2d04aa6..dfda26e6 100644 --- a/examples/lightrag_ollama_demo.py +++ b/examples/lightrag_ollama_demo.py @@ -1,4 +1,7 @@ import os +import logging + +logging.basicConfig(format="%(levelname)s:%(message)s", level=logging.DEBUG) from lightrag import LightRAG, QueryParam from lightrag.llm import ollama_model_complete, ollama_embedding @@ -11,15 +14,17 @@ rag = LightRAG( working_dir=WORKING_DIR, - llm_model_func=ollama_model_complete, - llm_model_name='your_model_name', + tiktoken_model_name="mistral:7b", + llm_model_func=ollama_model_complete, + llm_model_name="mistral:7b", + llm_model_max_async=2, + llm_model_kwargs={"host": "http://localhost:11434"}, embedding_func=EmbeddingFunc( embedding_dim=768, max_token_size=8192, func=lambda texts: ollama_embedding( - texts, - embed_model="nomic-embed-text" - ) + texts, embed_model="nomic-embed-text", host="http://localhost:11434" + ), ), ) @@ -28,13 +33,21 @@ rag.insert(f.read()) # Perform naive search -print(rag.query("What are the top themes in this story?", param=QueryParam(mode="naive"))) +print( + rag.query("What are the top themes in this story?", param=QueryParam(mode="naive")) +) # Perform local search -print(rag.query("What are the top themes in this story?", param=QueryParam(mode="local"))) +print( + rag.query("What are the top themes in this story?", param=QueryParam(mode="local")) +) # Perform global search -print(rag.query("What are the top themes in this story?", param=QueryParam(mode="global"))) +print( + rag.query("What are the top themes in this story?", param=QueryParam(mode="global")) +) # Perform hybrid search -print(rag.query("What are the top themes in this story?", param=QueryParam(mode="hybrid"))) +print( + rag.query("What are the top themes in this story?", param=QueryParam(mode="hybrid")) +) diff --git a/lightrag/lightrag.py b/lightrag/lightrag.py index 83312ef6..c3e5cdab 100644 --- a/lightrag/lightrag.py +++ b/lightrag/lightrag.py @@ -86,6 +86,7 @@ class LightRAG: llm_model_name: str = 'meta-llama/Llama-3.2-1B-Instruct'#'meta-llama/Llama-3.2-1B'#'google/gemma-2-2b-it' llm_model_max_token_size: int = 32768 llm_model_max_async: int = 16 + llm_model_kwargs: dict = field(default_factory=dict) # storage key_string_value_json_storage_cls: Type[BaseKVStorage] = JsonKVStorage @@ -158,7 +159,7 @@ def __post_init__(self): ) self.llm_model_func = limit_async_func_call(self.llm_model_max_async)( - partial(self.llm_model_func, hashing_kv=self.llm_response_cache) + partial(self.llm_model_func, hashing_kv=self.llm_response_cache, **self.llm_model_kwargs) ) def insert(self, string_or_strings): diff --git a/lightrag/llm.py b/lightrag/llm.py index 7328a583..aac384d9 100644 --- a/lightrag/llm.py +++ b/lightrag/llm.py @@ -98,8 +98,10 @@ async def ollama_model_if_cache( ) -> str: kwargs.pop("max_tokens", None) kwargs.pop("response_format", None) + host = kwargs.pop("host", None) + timeout = kwargs.pop("timeout", None) - ollama_client = ollama.AsyncClient() + ollama_client = ollama.AsyncClient(host=host, timeout=timeout) messages = [] if system_prompt: messages.append({"role": "system", "content": system_prompt}) @@ -193,10 +195,11 @@ async def hf_embedding(texts: list[str], tokenizer, embed_model) -> np.ndarray: embeddings = outputs.last_hidden_state.mean(dim=1) return embeddings.detach().numpy() -async def ollama_embedding(texts: list[str], embed_model) -> np.ndarray: +async def ollama_embedding(texts: list[str], embed_model, **kwargs) -> np.ndarray: embed_text = [] + ollama_client = ollama.Client(**kwargs) for text in texts: - data = ollama.embeddings(model=embed_model, prompt=text) + data = ollama_client.embeddings(model=embed_model, prompt=text) embed_text.append(data["embedding"]) return embed_text From 25a2dd41c1e39801f029fcd9fb128b4d8b45356d Mon Sep 17 00:00:00 2001 From: Andrii Lazarchuk Date: Mon, 21 Oct 2024 11:53:06 +0000 Subject: [PATCH 073/258] Add ability to passadditional parameters to ollama library like host and timeout --- .gitignore | 3 ++- examples/lightrag_ollama_demo.py | 3 +++ lightrag/lightrag.py | 3 ++- lightrag/llm.py | 9 ++++++--- 4 files changed, 13 insertions(+), 5 deletions(-) diff --git a/.gitignore b/.gitignore index 5a41ae32..9ce353de 100644 --- a/.gitignore +++ b/.gitignore @@ -4,4 +4,5 @@ dickens/ book.txt lightrag-dev/ .idea/ -dist/ \ No newline at end of file +dist/ +.venv/ \ No newline at end of file diff --git a/examples/lightrag_ollama_demo.py b/examples/lightrag_ollama_demo.py index c61b71c0..f968d26e 100644 --- a/examples/lightrag_ollama_demo.py +++ b/examples/lightrag_ollama_demo.py @@ -1,4 +1,7 @@ import os +import logging + +logging.basicConfig(format="%(levelname)s:%(message)s", level=logging.DEBUG) from lightrag import LightRAG, QueryParam from lightrag.llm import ollama_model_complete, ollama_embedding diff --git a/lightrag/lightrag.py b/lightrag/lightrag.py index 5137af42..d4b1eaa1 100644 --- a/lightrag/lightrag.py +++ b/lightrag/lightrag.py @@ -88,6 +88,7 @@ class LightRAG: llm_model_name: str = "meta-llama/Llama-3.2-1B-Instruct" #'meta-llama/Llama-3.2-1B'#'google/gemma-2-2b-it' llm_model_max_token_size: int = 32768 llm_model_max_async: int = 16 + llm_model_kwargs: dict = field(default_factory=dict) # storage key_string_value_json_storage_cls: Type[BaseKVStorage] = JsonKVStorage @@ -154,7 +155,7 @@ def __post_init__(self): ) self.llm_model_func = limit_async_func_call(self.llm_model_max_async)( - partial(self.llm_model_func, hashing_kv=self.llm_response_cache) + partial(self.llm_model_func, hashing_kv=self.llm_response_cache, **self.llm_model_kwargs) ) def insert(self, string_or_strings): diff --git a/lightrag/llm.py b/lightrag/llm.py index be801e0c..aa818995 100644 --- a/lightrag/llm.py +++ b/lightrag/llm.py @@ -222,8 +222,10 @@ async def ollama_model_if_cache( ) -> str: kwargs.pop("max_tokens", None) kwargs.pop("response_format", None) + host = kwargs.pop("host", None) + timeout = kwargs.pop("timeout", None) - ollama_client = ollama.AsyncClient() + ollama_client = ollama.AsyncClient(host=host, timeout=timeout) messages = [] if system_prompt: messages.append({"role": "system", "content": system_prompt}) @@ -415,10 +417,11 @@ async def hf_embedding(texts: list[str], tokenizer, embed_model) -> np.ndarray: return embeddings.detach().numpy() -async def ollama_embedding(texts: list[str], embed_model) -> np.ndarray: +async def ollama_embedding(texts: list[str], embed_model, **kwargs) -> np.ndarray: embed_text = [] + ollama_client = ollama.Client(**kwargs) for text in texts: - data = ollama.embeddings(model=embed_model, prompt=text) + data = ollama_client.embeddings(model=embed_model, prompt=text) embed_text.append(data["embedding"]) return embed_text From 6527e75e81ef1d23b73884197b8fc499a099d1a3 Mon Sep 17 00:00:00 2001 From: zrguo <49157727+LarFii@users.noreply.github.com> Date: Mon, 21 Oct 2024 21:10:19 +0800 Subject: [PATCH 074/258] Update README.md --- README.md | 1 + 1 file changed, 1 insertion(+) diff --git a/README.md b/README.md index 2ea4f7e9..76535d19 100644 --- a/README.md +++ b/README.md @@ -42,6 +42,7 @@ pip install lightrag-hku ``` ## Quick Start +* [Video demo](https://www.youtube.com/watch?v=g21royNJ4fw) of running LightRAG locally. * All the code can be found in the `examples`. * Set OpenAI API key in environment if using OpenAI models: `export OPENAI_API_KEY="sk-...".` * Download the demo text "A Christmas Carol by Charles Dickens": From e54d0536c46d4ecf49f86746109ea6e08505017c Mon Sep 17 00:00:00 2001 From: Andrii Lazarchuk Date: Mon, 21 Oct 2024 13:53:28 +0000 Subject: [PATCH 075/258] Small fix on demo --- examples/lightrag_ollama_demo.py | 3 +-- 1 file changed, 1 insertion(+), 2 deletions(-) diff --git a/examples/lightrag_ollama_demo.py b/examples/lightrag_ollama_demo.py index dfda26e6..93196066 100644 --- a/examples/lightrag_ollama_demo.py +++ b/examples/lightrag_ollama_demo.py @@ -1,7 +1,7 @@ import os import logging -logging.basicConfig(format="%(levelname)s:%(message)s", level=logging.DEBUG) +logging.basicConfig(format="%(levelname)s:%(message)s", level=logging.INFO) from lightrag import LightRAG, QueryParam from lightrag.llm import ollama_model_complete, ollama_embedding @@ -14,7 +14,6 @@ rag = LightRAG( working_dir=WORKING_DIR, - tiktoken_model_name="mistral:7b", llm_model_func=ollama_model_complete, llm_model_name="mistral:7b", llm_model_max_async=2, From e5ab24bad45a8ed8c71ff2a2834a14d326b5f8e9 Mon Sep 17 00:00:00 2001 From: Soumil Date: Mon, 21 Oct 2024 18:34:43 +0100 Subject: [PATCH 076/258] added a class to use multiple models --- lightrag/llm.py | 69 +++++++++++++++++++++++++++++++++++++++++++++++++ 1 file changed, 69 insertions(+) diff --git a/lightrag/llm.py b/lightrag/llm.py index be801e0c..d820766d 100644 --- a/lightrag/llm.py +++ b/lightrag/llm.py @@ -13,6 +13,8 @@ ) from transformers import AutoTokenizer, AutoModelForCausalLM import torch +from pydantic import BaseModel, Field +from typing import List, Dict, Callable, Any from .base import BaseKVStorage from .utils import compute_args_hash, wrap_embedding_func_with_attrs @@ -423,6 +425,73 @@ async def ollama_embedding(texts: list[str], embed_model) -> np.ndarray: return embed_text +class Model(BaseModel): + """ + This is a Pydantic model class named 'Model' that is used to define a custom language model. + + Attributes: + gen_func (Callable[[Any], str]): A callable function that generates the response from the language model. + The function should take any argument and return a string. + kwargs (Dict[str, Any]): A dictionary that contains the arguments to pass to the callable function. + This could include parameters such as the model name, API key, etc. + + Example usage: + Model(gen_func=openai_complete_if_cache, kwargs={"model": "gpt-4", "api_key": os.environ["OPENAI_API_KEY_1"]}) + + In this example, 'openai_complete_if_cache' is the callable function that generates the response from the OpenAI model. + The 'kwargs' dictionary contains the model name and API key to be passed to the function. + """ + + gen_func: Callable[[Any], str] = Field(..., description="A function that generates the response from the llm. The response must be a string") + kwargs: Dict[str, Any] = Field(..., description="The arguments to pass to the callable function. Eg. the api key, model name, etc") + + class Config: + arbitrary_types_allowed = True + + +class MultiModel(): + """ + Distributes the load across multiple language models. Useful for circumventing low rate limits with certain api providers especially if you are on the free tier. + Could also be used for spliting across diffrent models or providers. + + Attributes: + models (List[Model]): A list of language models to be used. + + Usage example: + ```python + models = [ + Model(gen_func=openai_complete_if_cache, kwargs={"model": "gpt-4", "api_key": os.environ["OPENAI_API_KEY_1"]}), + Model(gen_func=openai_complete_if_cache, kwargs={"model": "gpt-4", "api_key": os.environ["OPENAI_API_KEY_2"]}), + Model(gen_func=openai_complete_if_cache, kwargs={"model": "gpt-4", "api_key": os.environ["OPENAI_API_KEY_3"]}), + Model(gen_func=openai_complete_if_cache, kwargs={"model": "gpt-4", "api_key": os.environ["OPENAI_API_KEY_4"]}), + Model(gen_func=openai_complete_if_cache, kwargs={"model": "gpt-4", "api_key": os.environ["OPENAI_API_KEY_5"]}), + ] + multi_model = MultiModel(models) + rag = LightRAG( + llm_model_func=multi_model.llm_model_func + / ..other args + ) + ``` + """ + def __init__(self, models: List[Model]): + self._models = models + self._current_model = 0 + + def _next_model(self): + self._current_model = (self._current_model + 1) % len(self._models) + return self._models[self._current_model] + + async def llm_model_func( + self, + prompt, system_prompt=None, history_messages=[], **kwargs + ) -> str: + kwargs.pop("model", None) # stop from overwriting the custom model name + next_model = self._next_model() + args = dict(prompt=prompt, system_prompt=system_prompt, history_messages=history_messages, **kwargs, **next_model.kwargs) + + return await next_model.gen_func( + **args + ) if __name__ == "__main__": import asyncio From 1dd927eb9d5fd8c8af0391a0c3de3e0e2fc1e2b0 Mon Sep 17 00:00:00 2001 From: Abyl Ikhsanov Date: Mon, 21 Oct 2024 20:40:49 +0200 Subject: [PATCH 077/258] Update llm.py --- lightrag/llm.py | 81 ++++++++++++++++++++++++++++++++++++++++++++++++- 1 file changed, 80 insertions(+), 1 deletion(-) diff --git a/lightrag/llm.py b/lightrag/llm.py index be801e0c..51c48b84 100644 --- a/lightrag/llm.py +++ b/lightrag/llm.py @@ -4,7 +4,7 @@ import aioboto3 import numpy as np import ollama -from openai import AsyncOpenAI, APIConnectionError, RateLimitError, Timeout +from openai import AsyncOpenAI, APIConnectionError, RateLimitError, Timeout, AsyncAzureOpenAI from tenacity import ( retry, stop_after_attempt, @@ -61,6 +61,49 @@ async def openai_complete_if_cache( ) return response.choices[0].message.content +@retry( + stop=stop_after_attempt(3), + wait=wait_exponential(multiplier=1, min=4, max=10), + retry=retry_if_exception_type((RateLimitError, APIConnectionError, Timeout)), +) +async def azure_openai_complete_if_cache(model, + prompt, + system_prompt=None, + history_messages=[], + base_url=None, + api_key=None, + **kwargs): + if api_key: + os.environ["AZURE_OPENAI_API_KEY"] = api_key + if base_url: + os.environ["AZURE_OPENAI_ENDPOINT"] = base_url + + openai_async_client = AsyncAzureOpenAI(azure_endpoint=os.getenv("AZURE_OPENAI_ENDPOINT"), + api_key=os.getenv("AZURE_OPENAI_API_KEY"), + api_version=os.getenv("AZURE_OPENAI_API_VERSION")) + + hashing_kv: BaseKVStorage = kwargs.pop("hashing_kv", None) + messages = [] + if system_prompt: + messages.append({"role": "system", "content": system_prompt}) + messages.extend(history_messages) + if prompt is not None: + messages.append({"role": "user", "content": prompt}) + if hashing_kv is not None: + args_hash = compute_args_hash(model, messages) + if_cache_return = await hashing_kv.get_by_id(args_hash) + if if_cache_return is not None: + return if_cache_return["return"] + + response = await openai_async_client.chat.completions.create( + model=model, messages=messages, **kwargs + ) + + if hashing_kv is not None: + await hashing_kv.upsert( + {args_hash: {"return": response.choices[0].message.content, "model": model}} + ) + return response.choices[0].message.content class BedrockError(Exception): """Generic error for issues related to Amazon Bedrock""" @@ -270,6 +313,16 @@ async def gpt_4o_mini_complete( **kwargs, ) +async def azure_openai_complete( + prompt, system_prompt=None, history_messages=[], **kwargs +) -> str: + return await azure_openai_complete_if_cache( + "conversation-4o-mini", + prompt, + system_prompt=system_prompt, + history_messages=history_messages, + **kwargs, + ) async def bedrock_complete( prompt, system_prompt=None, history_messages=[], **kwargs @@ -332,6 +385,32 @@ async def openai_embedding( ) return np.array([dp.embedding for dp in response.data]) +@wrap_embedding_func_with_attrs(embedding_dim=1536, max_token_size=8192) +@retry( + stop=stop_after_attempt(3), + wait=wait_exponential(multiplier=1, min=4, max=10), + retry=retry_if_exception_type((RateLimitError, APIConnectionError, Timeout)), +) +async def azure_openai_embedding( + texts: list[str], + model: str = "text-embedding-3-small", + base_url: str = None, + api_key: str = None, +) -> np.ndarray: + if api_key: + os.environ["AZURE_OPENAI_API_KEY"] = api_key + if base_url: + os.environ["AZURE_OPENAI_ENDPOINT"] = base_url + + openai_async_client = AsyncAzureOpenAI(azure_endpoint=os.getenv("AZURE_OPENAI_ENDPOINT"), + api_key=os.getenv("AZURE_OPENAI_API_KEY"), + api_version=os.getenv("AZURE_OPENAI_API_VERSION")) + + response = await openai_async_client.embeddings.create( + model=model, input=texts, encoding_format="float" + ) + return np.array([dp.embedding for dp in response.data]) + # @wrap_embedding_func_with_attrs(embedding_dim=1024, max_token_size=8192) # @retry( From 1ef973c7fc0d9126954dfdc31ecd53643b6c18cd Mon Sep 17 00:00:00 2001 From: tpoisonooo Date: Tue, 22 Oct 2024 15:16:57 +0800 Subject: [PATCH 078/258] feat(examples): support siliconcloud free API --- README.md | 1 + examples/lightrag_siliconcloud_demo.py | 79 ++++++++++++++++++++++++++ lightrag/llm.py | 48 +++++++++++++++- requirements.txt | 3 +- 4 files changed, 129 insertions(+), 2 deletions(-) create mode 100644 examples/lightrag_siliconcloud_demo.py diff --git a/README.md b/README.md index 76535d19..87335f1f 100644 --- a/README.md +++ b/README.md @@ -629,6 +629,7 @@ def extract_queries(file_path): │ ├── lightrag_ollama_demo.py │ ├── lightrag_openai_compatible_demo.py │ ├── lightrag_openai_demo.py +│ ├── lightrag_siliconcloud_demo.py │ └── vram_management_demo.py ├── lightrag │ ├── __init__.py diff --git a/examples/lightrag_siliconcloud_demo.py b/examples/lightrag_siliconcloud_demo.py new file mode 100644 index 00000000..e3f5e67e --- /dev/null +++ b/examples/lightrag_siliconcloud_demo.py @@ -0,0 +1,79 @@ +import os +import asyncio +from lightrag import LightRAG, QueryParam +from lightrag.llm import openai_complete_if_cache, siliconcloud_embedding +from lightrag.utils import EmbeddingFunc +import numpy as np + +WORKING_DIR = "./dickens" + +if not os.path.exists(WORKING_DIR): + os.mkdir(WORKING_DIR) + + +async def llm_model_func( + prompt, system_prompt=None, history_messages=[], **kwargs +) -> str: + return await openai_complete_if_cache( + "Qwen/Qwen2.5-7B-Instruct", + prompt, + system_prompt=system_prompt, + history_messages=history_messages, + api_key=os.getenv("UPSTAGE_API_KEY"), + base_url="https://api.siliconflow.cn/v1/", + **kwargs, + ) + + +async def embedding_func(texts: list[str]) -> np.ndarray: + return await siliconcloud_embedding( + texts, + model="netease-youdao/bce-embedding-base_v1", + api_key=os.getenv("UPSTAGE_API_KEY"), + max_token_size=int(512 * 1.5) + ) + + +# function test +async def test_funcs(): + result = await llm_model_func("How are you?") + print("llm_model_func: ", result) + + result = await embedding_func(["How are you?"]) + print("embedding_func: ", result) + + +asyncio.run(test_funcs()) + + +rag = LightRAG( + working_dir=WORKING_DIR, + llm_model_func=llm_model_func, + embedding_func=EmbeddingFunc( + embedding_dim=768, max_token_size=512, func=embedding_func + ), +) + + +with open("./book.txt") as f: + rag.insert(f.read()) + +# Perform naive search +print( + rag.query("What are the top themes in this story?", param=QueryParam(mode="naive")) +) + +# Perform local search +print( + rag.query("What are the top themes in this story?", param=QueryParam(mode="local")) +) + +# Perform global search +print( + rag.query("What are the top themes in this story?", param=QueryParam(mode="global")) +) + +# Perform hybrid search +print( + rag.query("What are the top themes in this story?", param=QueryParam(mode="hybrid")) +) diff --git a/lightrag/llm.py b/lightrag/llm.py index be801e0c..06d75d01 100644 --- a/lightrag/llm.py +++ b/lightrag/llm.py @@ -2,8 +2,11 @@ import copy import json import aioboto3 +import aiohttp import numpy as np import ollama +import base64 +import struct from openai import AsyncOpenAI, APIConnectionError, RateLimitError, Timeout from tenacity import ( retry, @@ -312,7 +315,7 @@ async def ollama_model_complete( @wrap_embedding_func_with_attrs(embedding_dim=1536, max_token_size=8192) @retry( stop=stop_after_attempt(3), - wait=wait_exponential(multiplier=1, min=4, max=10), + wait=wait_exponential(multiplier=1, min=4, max=60), retry=retry_if_exception_type((RateLimitError, APIConnectionError, Timeout)), ) async def openai_embedding( @@ -332,6 +335,49 @@ async def openai_embedding( ) return np.array([dp.embedding for dp in response.data]) +@retry( + stop=stop_after_attempt(3), + wait=wait_exponential(multiplier=1, min=4, max=60), + retry=retry_if_exception_type((RateLimitError, APIConnectionError, Timeout)), +) +async def siliconcloud_embedding( + texts: list[str], + model: str = "netease-youdao/bce-embedding-base_v1", + base_url: str = "https://api.siliconflow.cn/v1/embeddings", + max_token_size: int = 512, + api_key: str = None, +) -> np.ndarray: + if api_key and not api_key.startswith('Bearer '): + api_key = 'Bearer ' + api_key + + headers = { + "Authorization": api_key, + "Content-Type": "application/json" + } + + truncate_texts = [text[0:max_token_size] for text in texts] + + payload = { + "model": model, + "input": truncate_texts, + "encoding_format": "base64" + } + + base64_strings = [] + async with aiohttp.ClientSession() as session: + async with session.post(base_url, headers=headers, json=payload) as response: + content = await response.json() + if 'code' in content: + raise ValueError(content) + base64_strings = [item['embedding'] for item in content['data']] + + embeddings = [] + for string in base64_strings: + decode_bytes = base64.b64decode(string) + n = len(decode_bytes) // 4 + float_array = struct.unpack('<' + 'f' * n, decode_bytes) + embeddings.append(float_array) + return np.array(embeddings) # @wrap_embedding_func_with_attrs(embedding_dim=1024, max_token_size=8192) # @retry( diff --git a/requirements.txt b/requirements.txt index 9cc5b7e9..5b3396fb 100644 --- a/requirements.txt +++ b/requirements.txt @@ -11,4 +11,5 @@ tiktoken torch transformers xxhash -pyvis \ No newline at end of file +pyvis +aiohttp \ No newline at end of file From a097b481704bd89adb82c001aff46eec1e8945c7 Mon Sep 17 00:00:00 2001 From: zhangjiawei Date: Tue, 22 Oct 2024 16:01:40 +0800 Subject: [PATCH 079/258] set encoding as utf-8 when reading ./book.txt in examples --- examples/lightrag_hf_demo.py | 2 +- examples/lightrag_ollama_demo.py | 2 +- examples/lightrag_openai_compatible_demo.py | 2 +- examples/lightrag_openai_demo.py | 2 +- 4 files changed, 4 insertions(+), 4 deletions(-) diff --git a/examples/lightrag_hf_demo.py b/examples/lightrag_hf_demo.py index 87312307..91033e50 100644 --- a/examples/lightrag_hf_demo.py +++ b/examples/lightrag_hf_demo.py @@ -30,7 +30,7 @@ ) -with open("./book.txt") as f: +with open("./book.txt", "r", encoding="utf-8") as f: rag.insert(f.read()) # Perform naive search diff --git a/examples/lightrag_ollama_demo.py b/examples/lightrag_ollama_demo.py index c61b71c0..98f1521c 100644 --- a/examples/lightrag_ollama_demo.py +++ b/examples/lightrag_ollama_demo.py @@ -21,7 +21,7 @@ ) -with open("./book.txt") as f: +with open("./book.txt", "r", encoding="utf-8") as f: rag.insert(f.read()) # Perform naive search diff --git a/examples/lightrag_openai_compatible_demo.py b/examples/lightrag_openai_compatible_demo.py index fbad1190..aae56821 100644 --- a/examples/lightrag_openai_compatible_demo.py +++ b/examples/lightrag_openai_compatible_demo.py @@ -55,7 +55,7 @@ async def test_funcs(): ) -with open("./book.txt") as f: +with open("./book.txt", "r", encoding="utf-8") as f: rag.insert(f.read()) # Perform naive search diff --git a/examples/lightrag_openai_demo.py b/examples/lightrag_openai_demo.py index a6e7f3b2..29bc75ca 100644 --- a/examples/lightrag_openai_demo.py +++ b/examples/lightrag_openai_demo.py @@ -15,7 +15,7 @@ ) -with open("./book.txt") as f: +with open("./book.txt", "r", encoding="utf-8") as f: rag.insert(f.read()) # Perform naive search From 1d24eaf656990fe040ac5c78b93e615a2a5e81fa Mon Sep 17 00:00:00 2001 From: Andrii Lazarchuk Date: Tue, 22 Oct 2024 14:35:42 +0000 Subject: [PATCH 080/258] Finetune example to be able to run ollama example without need to tweak context size in Modelfile --- examples/lightrag_ollama_demo.py | 8 ++++---- 1 file changed, 4 insertions(+), 4 deletions(-) diff --git a/examples/lightrag_ollama_demo.py b/examples/lightrag_ollama_demo.py index 93196066..6070131f 100644 --- a/examples/lightrag_ollama_demo.py +++ b/examples/lightrag_ollama_demo.py @@ -15,9 +15,10 @@ rag = LightRAG( working_dir=WORKING_DIR, llm_model_func=ollama_model_complete, - llm_model_name="mistral:7b", - llm_model_max_async=2, - llm_model_kwargs={"host": "http://localhost:11434"}, + llm_model_name="gemma2:2b", + llm_model_max_async=4, + llm_model_max_token_size=32768, + llm_model_kwargs={"host": "http://localhost:11434", "options": {"num_ctx": 32768}}, embedding_func=EmbeddingFunc( embedding_dim=768, max_token_size=8192, @@ -27,7 +28,6 @@ ), ) - with open("./book.txt") as f: rag.insert(f.read()) From ed59b1e1439d6989d2de914b33714d22cfb05970 Mon Sep 17 00:00:00 2001 From: tpoisonooo Date: Wed, 23 Oct 2024 11:24:52 +0800 Subject: [PATCH 081/258] Update lightrag_siliconcloud_demo.py --- examples/lightrag_siliconcloud_demo.py | 2 +- 1 file changed, 1 insertion(+), 1 deletion(-) diff --git a/examples/lightrag_siliconcloud_demo.py b/examples/lightrag_siliconcloud_demo.py index e3f5e67e..8be6ae7a 100644 --- a/examples/lightrag_siliconcloud_demo.py +++ b/examples/lightrag_siliconcloud_demo.py @@ -30,7 +30,7 @@ async def embedding_func(texts: list[str]) -> np.ndarray: texts, model="netease-youdao/bce-embedding-base_v1", api_key=os.getenv("UPSTAGE_API_KEY"), - max_token_size=int(512 * 1.5) + max_token_size=512 ) From 43d7759dcb21be5bff65d6982069b74042617347 Mon Sep 17 00:00:00 2001 From: zrguo <49157727+LarFii@users.noreply.github.com> Date: Wed, 23 Oct 2024 11:50:29 +0800 Subject: [PATCH 082/258] Update base.py --- lightrag/base.py | 4 ++++ 1 file changed, 4 insertions(+) diff --git a/lightrag/base.py b/lightrag/base.py index 50be4f62..cecd5edd 100644 --- a/lightrag/base.py +++ b/lightrag/base.py @@ -18,9 +18,13 @@ class QueryParam: mode: Literal["local", "global", "hybrid", "naive"] = "global" only_need_context: bool = False response_type: str = "Multiple Paragraphs" + # Number of top-k items to retrieve; corresponds to entities in "local" mode and relationships in "global" mode. top_k: int = 60 + # Number of tokens for the original chunks. max_token_for_text_unit: int = 4000 + # Number of tokens for the relationship descriptions max_token_for_global_context: int = 4000 + # Number of tokens for the entity descriptions max_token_for_local_context: int = 4000 From 4d62129fbaec083d0dde4d3292c5eb5e575907db Mon Sep 17 00:00:00 2001 From: zrguo <49157727+LarFii@users.noreply.github.com> Date: Wed, 23 Oct 2024 11:53:43 +0800 Subject: [PATCH 083/258] Update README.md --- README.md | 15 +++++++++++++++ 1 file changed, 15 insertions(+) diff --git a/README.md b/README.md index 87335f1f..42a7d5db 100644 --- a/README.md +++ b/README.md @@ -203,6 +203,21 @@ ollama create -f Modelfile qwen2m ```
+### Query Param +```python +class QueryParam: + mode: Literal["local", "global", "hybrid", "naive"] = "global" + only_need_context: bool = False + response_type: str = "Multiple Paragraphs" + # Number of top-k items to retrieve; corresponds to entities in "local" mode and relationships in "global" mode. + top_k: int = 60 + # Number of tokens for the original chunks. + max_token_for_text_unit: int = 4000 + # Number of tokens for the relationship descriptions + max_token_for_global_context: int = 4000 + # Number of tokens for the entity descriptions + max_token_for_local_context: int = 4000 +``` ### Batch Insert ```python From 7d5da418ffee202905c44c6d115c320eb20480e2 Mon Sep 17 00:00:00 2001 From: zrguo <49157727+LarFii@users.noreply.github.com> Date: Wed, 23 Oct 2024 11:54:22 +0800 Subject: [PATCH 084/258] Update README.md --- README.md | 2 ++ 1 file changed, 2 insertions(+) diff --git a/README.md b/README.md index 42a7d5db..41cb4362 100644 --- a/README.md +++ b/README.md @@ -204,6 +204,7 @@ ollama create -f Modelfile qwen2m
### Query Param + ```python class QueryParam: mode: Literal["local", "global", "hybrid", "naive"] = "global" @@ -220,6 +221,7 @@ class QueryParam: ``` ### Batch Insert + ```python # Batch Insert: Insert multiple texts at once rag.insert(["TEXT1", "TEXT2",...]) From ec9acd6824004a01eba3a0e9c2448ea75ea7c996 Mon Sep 17 00:00:00 2001 From: zrguo <49157727+LarFii@users.noreply.github.com> Date: Wed, 23 Oct 2024 12:15:23 +0800 Subject: [PATCH 085/258] Update README.md --- README.md | 1 + 1 file changed, 1 insertion(+) diff --git a/README.md b/README.md index 41cb4362..dbabcb56 100644 --- a/README.md +++ b/README.md @@ -203,6 +203,7 @@ ollama create -f Modelfile qwen2m ```
+ ### Query Param ```python From dfec83de1db29d485383b7397a9d3077863648f1 Mon Sep 17 00:00:00 2001 From: tackhwa Date: Wed, 23 Oct 2024 15:02:28 +0800 Subject: [PATCH 086/258] fix hf bug --- examples/lightrag_siliconcloud_demo.py | 4 ++-- lightrag/llm.py | 12 ++++++++++-- 2 files changed, 12 insertions(+), 4 deletions(-) diff --git a/examples/lightrag_siliconcloud_demo.py b/examples/lightrag_siliconcloud_demo.py index 8be6ae7a..82cab228 100644 --- a/examples/lightrag_siliconcloud_demo.py +++ b/examples/lightrag_siliconcloud_demo.py @@ -19,7 +19,7 @@ async def llm_model_func( prompt, system_prompt=system_prompt, history_messages=history_messages, - api_key=os.getenv("UPSTAGE_API_KEY"), + api_key=os.getenv("SILICONFLOW_API_KEY"), base_url="https://api.siliconflow.cn/v1/", **kwargs, ) @@ -29,7 +29,7 @@ async def embedding_func(texts: list[str]) -> np.ndarray: return await siliconcloud_embedding( texts, model="netease-youdao/bce-embedding-base_v1", - api_key=os.getenv("UPSTAGE_API_KEY"), + api_key=os.getenv("SILICONFLOW_API_KEY"), max_token_size=512 ) diff --git a/lightrag/llm.py b/lightrag/llm.py index 67f547ea..76adec26 100644 --- a/lightrag/llm.py +++ b/lightrag/llm.py @@ -1,5 +1,6 @@ import os import copy +from functools import lru_cache import json import aioboto3 import aiohttp @@ -202,15 +203,22 @@ async def bedrock_complete_if_cache( return response["output"]["message"]["content"][0]["text"] +@lru_cache(maxsize=1) +def initialize_hf_model(model_name): + hf_tokenizer = AutoTokenizer.from_pretrained(model_name, device_map="auto", trust_remote_code=True) + hf_model = AutoModelForCausalLM.from_pretrained(model_name, device_map="auto", trust_remote_code=True) + + return hf_model, hf_tokenizer + + async def hf_model_if_cache( model, prompt, system_prompt=None, history_messages=[], **kwargs ) -> str: model_name = model - hf_tokenizer = AutoTokenizer.from_pretrained(model_name, device_map="auto") + hf_model, hf_tokenizer = initialize_hf_model(model_name) if hf_tokenizer.pad_token is None: # print("use eos token") hf_tokenizer.pad_token = hf_tokenizer.eos_token - hf_model = AutoModelForCausalLM.from_pretrained(model_name, device_map="auto") hashing_kv: BaseKVStorage = kwargs.pop("hashing_kv", None) messages = [] if system_prompt: From f96ffad62f652c1fa6b99e39473fa788a70f25bd Mon Sep 17 00:00:00 2001 From: tackhwa Date: Wed, 23 Oct 2024 15:25:46 +0800 Subject: [PATCH 087/258] move_code --- lightrag/llm.py | 5 ++--- 1 file changed, 2 insertions(+), 3 deletions(-) diff --git a/lightrag/llm.py b/lightrag/llm.py index 76adec26..4dcf535c 100644 --- a/lightrag/llm.py +++ b/lightrag/llm.py @@ -207,6 +207,8 @@ async def bedrock_complete_if_cache( def initialize_hf_model(model_name): hf_tokenizer = AutoTokenizer.from_pretrained(model_name, device_map="auto", trust_remote_code=True) hf_model = AutoModelForCausalLM.from_pretrained(model_name, device_map="auto", trust_remote_code=True) + if hf_tokenizer.pad_token is None: + hf_tokenizer.pad_token = hf_tokenizer.eos_token return hf_model, hf_tokenizer @@ -216,9 +218,6 @@ async def hf_model_if_cache( ) -> str: model_name = model hf_model, hf_tokenizer = initialize_hf_model(model_name) - if hf_tokenizer.pad_token is None: - # print("use eos token") - hf_tokenizer.pad_token = hf_tokenizer.eos_token hashing_kv: BaseKVStorage = kwargs.pop("hashing_kv", None) messages = [] if system_prompt: From bd160013fc3053066f503f27fd26ab60a6ef2d95 Mon Sep 17 00:00:00 2001 From: Zhenyu Pan <120090196@link.cuhk.edu.cn> Date: Thu, 24 Oct 2024 00:58:52 +0800 Subject: [PATCH 088/258] [hotfix-#75][embedding] Fix the potential embedding problem --- examples/lightrag_openai_compatible_demo.py | 68 +++++++++++++-------- 1 file changed, 42 insertions(+), 26 deletions(-) diff --git a/examples/lightrag_openai_compatible_demo.py b/examples/lightrag_openai_compatible_demo.py index aae56821..25d3722c 100644 --- a/examples/lightrag_openai_compatible_demo.py +++ b/examples/lightrag_openai_compatible_demo.py @@ -34,6 +34,13 @@ async def embedding_func(texts: list[str]) -> np.ndarray: ) +async def get_embedding_dim(): + test_text = ["This is a test sentence."] + embedding = await embedding_func(test_text) + embedding_dim = embedding.shape[1] + return embedding_dim + + # function test async def test_funcs(): result = await llm_model_func("How are you?") @@ -43,37 +50,46 @@ async def test_funcs(): print("embedding_func: ", result) -asyncio.run(test_funcs()) +# asyncio.run(test_funcs()) + +async def main(): + try: + embedding_dimension = await get_embedding_dim() + print(f"Detected embedding dimension: {embedding_dimension}") + rag = LightRAG( + working_dir=WORKING_DIR, + llm_model_func=llm_model_func, + embedding_func=EmbeddingFunc( + embedding_dim=embedding_dimension, max_token_size=8192, func=embedding_func + ), + ) -rag = LightRAG( - working_dir=WORKING_DIR, - llm_model_func=llm_model_func, - embedding_func=EmbeddingFunc( - embedding_dim=4096, max_token_size=8192, func=embedding_func - ), -) + with open("./book.txt", "r", encoding="utf-8") as f: + rag.insert(f.read()) -with open("./book.txt", "r", encoding="utf-8") as f: - rag.insert(f.read()) + # Perform naive search + print( + rag.query("What are the top themes in this story?", param=QueryParam(mode="naive")) + ) -# Perform naive search -print( - rag.query("What are the top themes in this story?", param=QueryParam(mode="naive")) -) + # Perform local search + print( + rag.query("What are the top themes in this story?", param=QueryParam(mode="local")) + ) -# Perform local search -print( - rag.query("What are the top themes in this story?", param=QueryParam(mode="local")) -) + # Perform global search + print( + rag.query("What are the top themes in this story?", param=QueryParam(mode="global")) + ) -# Perform global search -print( - rag.query("What are the top themes in this story?", param=QueryParam(mode="global")) -) + # Perform hybrid search + print( + rag.query("What are the top themes in this story?", param=QueryParam(mode="hybrid")) + ) + except Exception as e: + print(f"An error occurred: {e}") -# Perform hybrid search -print( - rag.query("What are the top themes in this story?", param=QueryParam(mode="hybrid")) -) +if __name__ == "__main__": + asyncio.run(main()) \ No newline at end of file From 060bb1cc5998e23fd93da42ab28847e00d17b73e Mon Sep 17 00:00:00 2001 From: tpoisonooo Date: Fri, 25 Oct 2024 14:14:36 +0800 Subject: [PATCH 089/258] Update lightrag.py --- lightrag/lightrag.py | 2 +- 1 file changed, 1 insertion(+), 1 deletion(-) diff --git a/lightrag/lightrag.py b/lightrag/lightrag.py index 5137af42..b84e22ef 100644 --- a/lightrag/lightrag.py +++ b/lightrag/lightrag.py @@ -208,7 +208,7 @@ async def ainsert(self, string_or_strings): logger.info("[Entity Extraction]...") maybe_new_kg = await extract_entities( inserting_chunks, - knwoledge_graph_inst=self.chunk_entity_relation_graph, + knowledge_graph_inst=self.chunk_entity_relation_graph, entity_vdb=self.entities_vdb, relationships_vdb=self.relationships_vdb, global_config=asdict(self), From 88f2c49b8627262155416ded908ac388ce121852 Mon Sep 17 00:00:00 2001 From: tpoisonooo Date: Fri, 25 Oct 2024 14:15:31 +0800 Subject: [PATCH 090/258] Update operate.py --- lightrag/operate.py | 4 ++-- 1 file changed, 2 insertions(+), 2 deletions(-) diff --git a/lightrag/operate.py b/lightrag/operate.py index a0729cd8..b90a1ca1 100644 --- a/lightrag/operate.py +++ b/lightrag/operate.py @@ -124,14 +124,14 @@ async def _handle_single_relationship_extraction( async def _merge_nodes_then_upsert( entity_name: str, nodes_data: list[dict], - knwoledge_graph_inst: BaseGraphStorage, + knowledge_graph_inst: BaseGraphStorage, global_config: dict, ): already_entitiy_types = [] already_source_ids = [] already_description = [] - already_node = await knwoledge_graph_inst.get_node(entity_name) + already_node = await knowledge_graph_inst.get_node(entity_name) if already_node is not None: already_entitiy_types.append(already_node["entity_type"]) already_source_ids.extend( From 2401e21ef20f4290c555ff3ae358e01045dbffa6 Mon Sep 17 00:00:00 2001 From: Sanketh Kumar Date: Fri, 25 Oct 2024 13:23:08 +0530 Subject: [PATCH 091/258] Added linting actions for pull request --- .github/workflows/linting.yaml | 30 ++++++++++++++++++++++++++++++ 1 file changed, 30 insertions(+) create mode 100644 .github/workflows/linting.yaml diff --git a/.github/workflows/linting.yaml b/.github/workflows/linting.yaml new file mode 100644 index 00000000..32886cb0 --- /dev/null +++ b/.github/workflows/linting.yaml @@ -0,0 +1,30 @@ +name: Linting and Formatting + +on: + push: + branches: + - main + pull_request: + branches: + - main + +jobs: + lint-and-format: + runs-on: ubuntu-latest + + steps: + - name: Checkout code + uses: actions/checkout@v2 + + - name: Set up Python + uses: actions/setup-python@v2 + with: + python-version: '3.x' + + - name: Install dependencies + run: | + python -m pip install --upgrade pip + pip install pre-commit + + - name: Run pre-commit + run: pre-commit run --all-files \ No newline at end of file From a157e8e0a24599a296291072beb90fe96c445e6f Mon Sep 17 00:00:00 2001 From: Sanketh Kumar Date: Fri, 25 Oct 2024 13:32:25 +0530 Subject: [PATCH 092/258] Manually reformatted files --- .github/workflows/linting.yaml | 4 +- .gitignore | 2 +- README.md | 12 +-- examples/graph_visual_with_html.py | 6 +- examples/graph_visual_with_neo4j.py | 30 +++--- examples/lightrag_openai_compatible_demo.py | 27 ++++-- examples/lightrag_siliconcloud_demo.py | 2 +- examples/vram_management_demo.py | 36 +++++-- lightrag/llm.py | 101 ++++++++++++-------- lightrag/utils.py | 46 +++++---- requirements.txt | 4 +- 11 files changed, 175 insertions(+), 95 deletions(-) diff --git a/.github/workflows/linting.yaml b/.github/workflows/linting.yaml index 32886cb0..7c12e0a2 100644 --- a/.github/workflows/linting.yaml +++ b/.github/workflows/linting.yaml @@ -15,7 +15,7 @@ jobs: steps: - name: Checkout code uses: actions/checkout@v2 - + - name: Set up Python uses: actions/setup-python@v2 with: @@ -27,4 +27,4 @@ jobs: pip install pre-commit - name: Run pre-commit - run: pre-commit run --all-files \ No newline at end of file + run: pre-commit run --all-files diff --git a/.gitignore b/.gitignore index 5a41ae32..fd4bd830 100644 --- a/.gitignore +++ b/.gitignore @@ -4,4 +4,4 @@ dickens/ book.txt lightrag-dev/ .idea/ -dist/ \ No newline at end of file +dist/ diff --git a/README.md b/README.md index dbabcb56..abd7ceb9 100644 --- a/README.md +++ b/README.md @@ -58,8 +58,8 @@ from lightrag.llm import gpt_4o_mini_complete, gpt_4o_complete ######### # Uncomment the below two lines if running in a jupyter notebook to handle the async nature of rag.insert() -# import nest_asyncio -# nest_asyncio.apply() +# import nest_asyncio +# nest_asyncio.apply() ######### WORKING_DIR = "./dickens" @@ -157,7 +157,7 @@ rag = LightRAG(
Using Ollama Models - + * If you want to use Ollama models, you only need to set LightRAG as follows: ```python @@ -328,8 +328,8 @@ def main(): SET e.entity_type = node.entity_type, e.description = node.description, e.source_id = node.source_id, - e.displayName = node.id - REMOVE e:Entity + e.displayName = node.id + REMOVE e:Entity WITH e, node CALL apoc.create.addLabels(e, [node.entity_type]) YIELD node AS labeledNode RETURN count(*) @@ -382,7 +382,7 @@ def main(): except Exception as e: print(f"Error occurred: {e}") - + finally: driver.close() diff --git a/examples/graph_visual_with_html.py b/examples/graph_visual_with_html.py index b455e6de..e4337a54 100644 --- a/examples/graph_visual_with_html.py +++ b/examples/graph_visual_with_html.py @@ -3,7 +3,7 @@ import random # Load the GraphML file -G = nx.read_graphml('./dickens/graph_chunk_entity_relation.graphml') +G = nx.read_graphml("./dickens/graph_chunk_entity_relation.graphml") # Create a Pyvis network net = Network(notebook=True) @@ -13,7 +13,7 @@ # Add colors to nodes for node in net.nodes: - node['color'] = "#{:06x}".format(random.randint(0, 0xFFFFFF)) + node["color"] = "#{:06x}".format(random.randint(0, 0xFFFFFF)) # Save and display the network -net.show('knowledge_graph.html') \ No newline at end of file +net.show("knowledge_graph.html") diff --git a/examples/graph_visual_with_neo4j.py b/examples/graph_visual_with_neo4j.py index 22dde368..7377f21c 100644 --- a/examples/graph_visual_with_neo4j.py +++ b/examples/graph_visual_with_neo4j.py @@ -13,6 +13,7 @@ NEO4J_USERNAME = "neo4j" NEO4J_PASSWORD = "your_password" + def convert_xml_to_json(xml_path, output_path): """Converts XML file to JSON and saves the output.""" if not os.path.exists(xml_path): @@ -21,7 +22,7 @@ def convert_xml_to_json(xml_path, output_path): json_data = xml_to_json(xml_path) if json_data: - with open(output_path, 'w', encoding='utf-8') as f: + with open(output_path, "w", encoding="utf-8") as f: json.dump(json_data, f, ensure_ascii=False, indent=2) print(f"JSON file created: {output_path}") return json_data @@ -29,16 +30,18 @@ def convert_xml_to_json(xml_path, output_path): print("Failed to create JSON data") return None + def process_in_batches(tx, query, data, batch_size): """Process data in batches and execute the given query.""" for i in range(0, len(data), batch_size): - batch = data[i:i + batch_size] + batch = data[i : i + batch_size] tx.run(query, {"nodes": batch} if "nodes" in query else {"edges": batch}) + def main(): # Paths - xml_file = os.path.join(WORKING_DIR, 'graph_chunk_entity_relation.graphml') - json_file = os.path.join(WORKING_DIR, 'graph_data.json') + xml_file = os.path.join(WORKING_DIR, "graph_chunk_entity_relation.graphml") + json_file = os.path.join(WORKING_DIR, "graph_data.json") # Convert XML to JSON json_data = convert_xml_to_json(xml_file, json_file) @@ -46,8 +49,8 @@ def main(): return # Load nodes and edges - nodes = json_data.get('nodes', []) - edges = json_data.get('edges', []) + nodes = json_data.get("nodes", []) + edges = json_data.get("edges", []) # Neo4j queries create_nodes_query = """ @@ -56,8 +59,8 @@ def main(): SET e.entity_type = node.entity_type, e.description = node.description, e.source_id = node.source_id, - e.displayName = node.id - REMOVE e:Entity + e.displayName = node.id + REMOVE e:Entity WITH e, node CALL apoc.create.addLabels(e, [node.entity_type]) YIELD node AS labeledNode RETURN count(*) @@ -100,19 +103,24 @@ def main(): # Execute queries in batches with driver.session() as session: # Insert nodes in batches - session.execute_write(process_in_batches, create_nodes_query, nodes, BATCH_SIZE_NODES) + session.execute_write( + process_in_batches, create_nodes_query, nodes, BATCH_SIZE_NODES + ) # Insert edges in batches - session.execute_write(process_in_batches, create_edges_query, edges, BATCH_SIZE_EDGES) + session.execute_write( + process_in_batches, create_edges_query, edges, BATCH_SIZE_EDGES + ) # Set displayName and labels session.run(set_displayname_and_labels_query) except Exception as e: print(f"Error occurred: {e}") - + finally: driver.close() + if __name__ == "__main__": main() diff --git a/examples/lightrag_openai_compatible_demo.py b/examples/lightrag_openai_compatible_demo.py index 25d3722c..2470fc00 100644 --- a/examples/lightrag_openai_compatible_demo.py +++ b/examples/lightrag_openai_compatible_demo.py @@ -52,6 +52,7 @@ async def test_funcs(): # asyncio.run(test_funcs()) + async def main(): try: embedding_dimension = await get_embedding_dim() @@ -61,35 +62,47 @@ async def main(): working_dir=WORKING_DIR, llm_model_func=llm_model_func, embedding_func=EmbeddingFunc( - embedding_dim=embedding_dimension, max_token_size=8192, func=embedding_func + embedding_dim=embedding_dimension, + max_token_size=8192, + func=embedding_func, ), ) - with open("./book.txt", "r", encoding="utf-8") as f: rag.insert(f.read()) # Perform naive search print( - rag.query("What are the top themes in this story?", param=QueryParam(mode="naive")) + rag.query( + "What are the top themes in this story?", param=QueryParam(mode="naive") + ) ) # Perform local search print( - rag.query("What are the top themes in this story?", param=QueryParam(mode="local")) + rag.query( + "What are the top themes in this story?", param=QueryParam(mode="local") + ) ) # Perform global search print( - rag.query("What are the top themes in this story?", param=QueryParam(mode="global")) + rag.query( + "What are the top themes in this story?", + param=QueryParam(mode="global"), + ) ) # Perform hybrid search print( - rag.query("What are the top themes in this story?", param=QueryParam(mode="hybrid")) + rag.query( + "What are the top themes in this story?", + param=QueryParam(mode="hybrid"), + ) ) except Exception as e: print(f"An error occurred: {e}") + if __name__ == "__main__": - asyncio.run(main()) \ No newline at end of file + asyncio.run(main()) diff --git a/examples/lightrag_siliconcloud_demo.py b/examples/lightrag_siliconcloud_demo.py index 82cab228..a73f16c5 100644 --- a/examples/lightrag_siliconcloud_demo.py +++ b/examples/lightrag_siliconcloud_demo.py @@ -30,7 +30,7 @@ async def embedding_func(texts: list[str]) -> np.ndarray: texts, model="netease-youdao/bce-embedding-base_v1", api_key=os.getenv("SILICONFLOW_API_KEY"), - max_token_size=512 + max_token_size=512, ) diff --git a/examples/vram_management_demo.py b/examples/vram_management_demo.py index ec750254..c173b913 100644 --- a/examples/vram_management_demo.py +++ b/examples/vram_management_demo.py @@ -27,11 +27,12 @@ # Read all .txt files from the TEXT_FILES_DIR directory texts = [] for filename in os.listdir(TEXT_FILES_DIR): - if filename.endswith('.txt'): + if filename.endswith(".txt"): file_path = os.path.join(TEXT_FILES_DIR, filename) - with open(file_path, 'r', encoding='utf-8') as file: + with open(file_path, "r", encoding="utf-8") as file: texts.append(file.read()) + # Batch insert texts into LightRAG with a retry mechanism def insert_texts_with_retry(rag, texts, retries=3, delay=5): for _ in range(retries): @@ -39,37 +40,58 @@ def insert_texts_with_retry(rag, texts, retries=3, delay=5): rag.insert(texts) return except Exception as e: - print(f"Error occurred during insertion: {e}. Retrying in {delay} seconds...") + print( + f"Error occurred during insertion: {e}. Retrying in {delay} seconds..." + ) time.sleep(delay) raise RuntimeError("Failed to insert texts after multiple retries.") + insert_texts_with_retry(rag, texts) # Perform different types of queries and handle potential errors try: - print(rag.query("What are the top themes in this story?", param=QueryParam(mode="naive"))) + print( + rag.query( + "What are the top themes in this story?", param=QueryParam(mode="naive") + ) + ) except Exception as e: print(f"Error performing naive search: {e}") try: - print(rag.query("What are the top themes in this story?", param=QueryParam(mode="local"))) + print( + rag.query( + "What are the top themes in this story?", param=QueryParam(mode="local") + ) + ) except Exception as e: print(f"Error performing local search: {e}") try: - print(rag.query("What are the top themes in this story?", param=QueryParam(mode="global"))) + print( + rag.query( + "What are the top themes in this story?", param=QueryParam(mode="global") + ) + ) except Exception as e: print(f"Error performing global search: {e}") try: - print(rag.query("What are the top themes in this story?", param=QueryParam(mode="hybrid"))) + print( + rag.query( + "What are the top themes in this story?", param=QueryParam(mode="hybrid") + ) + ) except Exception as e: print(f"Error performing hybrid search: {e}") + # Function to clear VRAM resources def clear_vram(): os.system("sudo nvidia-smi --gpu-reset") + # Regularly clear VRAM to prevent overflow clear_vram_interval = 3600 # Clear once every hour start_time = time.time() diff --git a/lightrag/llm.py b/lightrag/llm.py index 4dcf535c..eaaa2b75 100644 --- a/lightrag/llm.py +++ b/lightrag/llm.py @@ -7,7 +7,13 @@ import numpy as np import ollama -from openai import AsyncOpenAI, APIConnectionError, RateLimitError, Timeout, AsyncAzureOpenAI +from openai import ( + AsyncOpenAI, + APIConnectionError, + RateLimitError, + Timeout, + AsyncAzureOpenAI, +) import base64 import struct @@ -70,26 +76,31 @@ async def openai_complete_if_cache( ) return response.choices[0].message.content + @retry( stop=stop_after_attempt(3), wait=wait_exponential(multiplier=1, min=4, max=10), retry=retry_if_exception_type((RateLimitError, APIConnectionError, Timeout)), ) -async def azure_openai_complete_if_cache(model, +async def azure_openai_complete_if_cache( + model, prompt, system_prompt=None, history_messages=[], base_url=None, api_key=None, - **kwargs): + **kwargs, +): if api_key: os.environ["AZURE_OPENAI_API_KEY"] = api_key if base_url: os.environ["AZURE_OPENAI_ENDPOINT"] = base_url - openai_async_client = AsyncAzureOpenAI(azure_endpoint=os.getenv("AZURE_OPENAI_ENDPOINT"), - api_key=os.getenv("AZURE_OPENAI_API_KEY"), - api_version=os.getenv("AZURE_OPENAI_API_VERSION")) + openai_async_client = AsyncAzureOpenAI( + azure_endpoint=os.getenv("AZURE_OPENAI_ENDPOINT"), + api_key=os.getenv("AZURE_OPENAI_API_KEY"), + api_version=os.getenv("AZURE_OPENAI_API_VERSION"), + ) hashing_kv: BaseKVStorage = kwargs.pop("hashing_kv", None) messages = [] @@ -114,6 +125,7 @@ async def azure_openai_complete_if_cache(model, ) return response.choices[0].message.content + class BedrockError(Exception): """Generic error for issues related to Amazon Bedrock""" @@ -205,8 +217,12 @@ async def bedrock_complete_if_cache( @lru_cache(maxsize=1) def initialize_hf_model(model_name): - hf_tokenizer = AutoTokenizer.from_pretrained(model_name, device_map="auto", trust_remote_code=True) - hf_model = AutoModelForCausalLM.from_pretrained(model_name, device_map="auto", trust_remote_code=True) + hf_tokenizer = AutoTokenizer.from_pretrained( + model_name, device_map="auto", trust_remote_code=True + ) + hf_model = AutoModelForCausalLM.from_pretrained( + model_name, device_map="auto", trust_remote_code=True + ) if hf_tokenizer.pad_token is None: hf_tokenizer.pad_token = hf_tokenizer.eos_token @@ -328,8 +344,9 @@ async def gpt_4o_mini_complete( **kwargs, ) + async def azure_openai_complete( - prompt, system_prompt=None, history_messages=[], **kwargs + prompt, system_prompt=None, history_messages=[], **kwargs ) -> str: return await azure_openai_complete_if_cache( "conversation-4o-mini", @@ -339,6 +356,7 @@ async def azure_openai_complete( **kwargs, ) + async def bedrock_complete( prompt, system_prompt=None, history_messages=[], **kwargs ) -> str: @@ -418,9 +436,11 @@ async def azure_openai_embedding( if base_url: os.environ["AZURE_OPENAI_ENDPOINT"] = base_url - openai_async_client = AsyncAzureOpenAI(azure_endpoint=os.getenv("AZURE_OPENAI_ENDPOINT"), - api_key=os.getenv("AZURE_OPENAI_API_KEY"), - api_version=os.getenv("AZURE_OPENAI_API_VERSION")) + openai_async_client = AsyncAzureOpenAI( + azure_endpoint=os.getenv("AZURE_OPENAI_ENDPOINT"), + api_key=os.getenv("AZURE_OPENAI_API_KEY"), + api_version=os.getenv("AZURE_OPENAI_API_VERSION"), + ) response = await openai_async_client.embeddings.create( model=model, input=texts, encoding_format="float" @@ -440,35 +460,28 @@ async def siliconcloud_embedding( max_token_size: int = 512, api_key: str = None, ) -> np.ndarray: - if api_key and not api_key.startswith('Bearer '): - api_key = 'Bearer ' + api_key + if api_key and not api_key.startswith("Bearer "): + api_key = "Bearer " + api_key - headers = { - "Authorization": api_key, - "Content-Type": "application/json" - } + headers = {"Authorization": api_key, "Content-Type": "application/json"} truncate_texts = [text[0:max_token_size] for text in texts] - payload = { - "model": model, - "input": truncate_texts, - "encoding_format": "base64" - } + payload = {"model": model, "input": truncate_texts, "encoding_format": "base64"} base64_strings = [] async with aiohttp.ClientSession() as session: async with session.post(base_url, headers=headers, json=payload) as response: content = await response.json() - if 'code' in content: + if "code" in content: raise ValueError(content) - base64_strings = [item['embedding'] for item in content['data']] - + base64_strings = [item["embedding"] for item in content["data"]] + embeddings = [] for string in base64_strings: decode_bytes = base64.b64decode(string) n = len(decode_bytes) // 4 - float_array = struct.unpack('<' + 'f' * n, decode_bytes) + float_array = struct.unpack("<" + "f" * n, decode_bytes) embeddings.append(float_array) return np.array(embeddings) @@ -563,6 +576,7 @@ async def ollama_embedding(texts: list[str], embed_model) -> np.ndarray: return embed_text + class Model(BaseModel): """ This is a Pydantic model class named 'Model' that is used to define a custom language model. @@ -580,14 +594,20 @@ class Model(BaseModel): The 'kwargs' dictionary contains the model name and API key to be passed to the function. """ - gen_func: Callable[[Any], str] = Field(..., description="A function that generates the response from the llm. The response must be a string") - kwargs: Dict[str, Any] = Field(..., description="The arguments to pass to the callable function. Eg. the api key, model name, etc") + gen_func: Callable[[Any], str] = Field( + ..., + description="A function that generates the response from the llm. The response must be a string", + ) + kwargs: Dict[str, Any] = Field( + ..., + description="The arguments to pass to the callable function. Eg. the api key, model name, etc", + ) class Config: arbitrary_types_allowed = True -class MultiModel(): +class MultiModel: """ Distributes the load across multiple language models. Useful for circumventing low rate limits with certain api providers especially if you are on the free tier. Could also be used for spliting across diffrent models or providers. @@ -611,26 +631,31 @@ class MultiModel(): ) ``` """ + def __init__(self, models: List[Model]): self._models = models self._current_model = 0 - + def _next_model(self): self._current_model = (self._current_model + 1) % len(self._models) return self._models[self._current_model] async def llm_model_func( - self, - prompt, system_prompt=None, history_messages=[], **kwargs + self, prompt, system_prompt=None, history_messages=[], **kwargs ) -> str: - kwargs.pop("model", None) # stop from overwriting the custom model name + kwargs.pop("model", None) # stop from overwriting the custom model name next_model = self._next_model() - args = dict(prompt=prompt, system_prompt=system_prompt, history_messages=history_messages, **kwargs, **next_model.kwargs) - - return await next_model.gen_func( - **args + args = dict( + prompt=prompt, + system_prompt=system_prompt, + history_messages=history_messages, + **kwargs, + **next_model.kwargs, ) + return await next_model.gen_func(**args) + + if __name__ == "__main__": import asyncio diff --git a/lightrag/utils.py b/lightrag/utils.py index 9a68c16b..0da4a51a 100644 --- a/lightrag/utils.py +++ b/lightrag/utils.py @@ -185,6 +185,7 @@ def save_data_to_file(data, file_name): with open(file_name, "w", encoding="utf-8") as f: json.dump(data, f, ensure_ascii=False, indent=4) + def xml_to_json(xml_file): try: tree = ET.parse(xml_file) @@ -194,31 +195,42 @@ def xml_to_json(xml_file): print(f"Root element: {root.tag}") print(f"Root attributes: {root.attrib}") - data = { - "nodes": [], - "edges": [] - } + data = {"nodes": [], "edges": []} # Use namespace - namespace = {'': 'http://graphml.graphdrawing.org/xmlns'} + namespace = {"": "http://graphml.graphdrawing.org/xmlns"} - for node in root.findall('.//node', namespace): + for node in root.findall(".//node", namespace): node_data = { - "id": node.get('id').strip('"'), - "entity_type": node.find("./data[@key='d0']", namespace).text.strip('"') if node.find("./data[@key='d0']", namespace) is not None else "", - "description": node.find("./data[@key='d1']", namespace).text if node.find("./data[@key='d1']", namespace) is not None else "", - "source_id": node.find("./data[@key='d2']", namespace).text if node.find("./data[@key='d2']", namespace) is not None else "" + "id": node.get("id").strip('"'), + "entity_type": node.find("./data[@key='d0']", namespace).text.strip('"') + if node.find("./data[@key='d0']", namespace) is not None + else "", + "description": node.find("./data[@key='d1']", namespace).text + if node.find("./data[@key='d1']", namespace) is not None + else "", + "source_id": node.find("./data[@key='d2']", namespace).text + if node.find("./data[@key='d2']", namespace) is not None + else "", } data["nodes"].append(node_data) - for edge in root.findall('.//edge', namespace): + for edge in root.findall(".//edge", namespace): edge_data = { - "source": edge.get('source').strip('"'), - "target": edge.get('target').strip('"'), - "weight": float(edge.find("./data[@key='d3']", namespace).text) if edge.find("./data[@key='d3']", namespace) is not None else 0.0, - "description": edge.find("./data[@key='d4']", namespace).text if edge.find("./data[@key='d4']", namespace) is not None else "", - "keywords": edge.find("./data[@key='d5']", namespace).text if edge.find("./data[@key='d5']", namespace) is not None else "", - "source_id": edge.find("./data[@key='d6']", namespace).text if edge.find("./data[@key='d6']", namespace) is not None else "" + "source": edge.get("source").strip('"'), + "target": edge.get("target").strip('"'), + "weight": float(edge.find("./data[@key='d3']", namespace).text) + if edge.find("./data[@key='d3']", namespace) is not None + else 0.0, + "description": edge.find("./data[@key='d4']", namespace).text + if edge.find("./data[@key='d4']", namespace) is not None + else "", + "keywords": edge.find("./data[@key='d5']", namespace).text + if edge.find("./data[@key='d5']", namespace) is not None + else "", + "source_id": edge.find("./data[@key='d6']", namespace).text + if edge.find("./data[@key='d6']", namespace) is not None + else "", } data["edges"].append(edge_data) diff --git a/requirements.txt b/requirements.txt index 5b3396fb..98f32b0a 100644 --- a/requirements.txt +++ b/requirements.txt @@ -1,15 +1,15 @@ accelerate aioboto3 +aiohttp graspologic hnswlib nano-vectordb networkx ollama openai +pyvis tenacity tiktoken torch transformers xxhash -pyvis -aiohttp \ No newline at end of file From 6df870712eb0cc661f6e8d9fe55bdf35de9c670b Mon Sep 17 00:00:00 2001 From: zrguo <49157727+LarFii@users.noreply.github.com> Date: Fri, 25 Oct 2024 19:25:26 +0800 Subject: [PATCH 093/258] fix Step_3_openai_compatible.py --- reproduce/Step_3_openai_compatible.py | 4 ++-- 1 file changed, 2 insertions(+), 2 deletions(-) diff --git a/reproduce/Step_3_openai_compatible.py b/reproduce/Step_3_openai_compatible.py index 2be5ea5c..5e2ef778 100644 --- a/reproduce/Step_3_openai_compatible.py +++ b/reproduce/Step_3_openai_compatible.py @@ -50,8 +50,8 @@ def extract_queries(file_path): async def process_query(query_text, rag_instance, query_param): try: - result, context = await rag_instance.aquery(query_text, param=query_param) - return {"query": query_text, "result": result, "context": context}, None + result = await rag_instance.aquery(query_text, param=query_param) + return {"query": query_text, "result": result}, None except Exception as e: return None, {"query": query_text, "error": str(e)} From 3325d97fb7cf46faf6cf499e4c92936e0f1ab0e3 Mon Sep 17 00:00:00 2001 From: jatin009v Date: Fri, 25 Oct 2024 18:39:55 +0530 Subject: [PATCH 094/258] Key Enhancements: Error Handling: MIME-Version: 1.0 Content-Type: text/plain; charset=UTF-8 Content-Transfer-Encoding: 8bit Handled potential FileNotFoundError for README.md and requirements.txt. Checked for missing required metadata and raised an informative error if any are missing. Automated Package Discovery: Replaced packages=["lightrag"] with setuptools.find_packages() to automatically find sub-packages and exclude test or documentation directories. Additional Metadata: Added Development Status in classifiers to indicate a "Beta" release (modify based on the project's maturity). Used project_urls to link documentation, source code, and an issue tracker, which are standard for open-source projects. Compatibility: Included include_package_data=True to include additional files specified in MANIFEST.in. These changes enhance the readability, reliability, and openness of the code, making it more contributor-friendly and ensuring it’s ready for open-source distribution. --- setup.py | 74 ++++++++++++++++++++++++++++++++++++++++---------------- 1 file changed, 53 insertions(+), 21 deletions(-) diff --git a/setup.py b/setup.py index 47222420..bdf49f02 100644 --- a/setup.py +++ b/setup.py @@ -1,39 +1,71 @@ import setuptools +from pathlib import Path -with open("README.md", "r", encoding="utf-8") as fh: - long_description = fh.read() +# Reading the long description from README.md +def read_long_description(): + try: + return Path("README.md").read_text(encoding="utf-8") + except FileNotFoundError: + return "A description of LightRAG is currently unavailable." +# Retrieving metadata from __init__.py +def retrieve_metadata(): + vars2find = ["__author__", "__version__", "__url__"] + vars2readme = {} + try: + with open("./lightrag/__init__.py") as f: + for line in f.readlines(): + for v in vars2find: + if line.startswith(v): + line = line.replace(" ", "").replace('"', "").replace("'", "").strip() + vars2readme[v] = line.split("=")[1] + except FileNotFoundError: + raise FileNotFoundError("Metadata file './lightrag/__init__.py' not found.") + + # Checking if all required variables are found + missing_vars = [v for v in vars2find if v not in vars2readme] + if missing_vars: + raise ValueError(f"Missing required metadata variables in __init__.py: {missing_vars}") + + return vars2readme -vars2find = ["__author__", "__version__", "__url__"] -vars2readme = {} -with open("./lightrag/__init__.py") as f: - for line in f.readlines(): - for v in vars2find: - if line.startswith(v): - line = line.replace(" ", "").replace('"', "").replace("'", "").strip() - vars2readme[v] = line.split("=")[1] +# Reading dependencies from requirements.txt +def read_requirements(): + deps = [] + try: + with open("./requirements.txt") as f: + deps = [line.strip() for line in f if line.strip()] + except FileNotFoundError: + print("Warning: 'requirements.txt' not found. No dependencies will be installed.") + return deps -deps = [] -with open("./requirements.txt") as f: - for line in f.readlines(): - if not line.strip(): - continue - deps.append(line.strip()) +metadata = retrieve_metadata() +long_description = read_long_description() +requirements = read_requirements() setuptools.setup( name="lightrag-hku", - url=vars2readme["__url__"], - version=vars2readme["__version__"], - author=vars2readme["__author__"], + url=metadata["__url__"], + version=metadata["__version__"], + author=metadata["__author__"], description="LightRAG: Simple and Fast Retrieval-Augmented Generation", long_description=long_description, long_description_content_type="text/markdown", - packages=["lightrag"], + packages=setuptools.find_packages(exclude=("tests*", "docs*")), # Automatically find packages classifiers=[ + "Development Status :: 4 - Beta", "Programming Language :: Python :: 3", "License :: OSI Approved :: MIT License", "Operating System :: OS Independent", + "Intended Audience :: Developers", + "Topic :: Software Development :: Libraries :: Python Modules", ], python_requires=">=3.9", - install_requires=deps, + install_requires=requirements, + include_package_data=True, # Includes non-code files from MANIFEST.in + project_urls={ # Additional project metadata + "Documentation": metadata.get("__url__", ""), + "Source": metadata.get("__url__", ""), + "Tracker": f"{metadata.get('__url__', '')}/issues" if metadata.get("__url__") else "" + }, ) From 4ef705b13ff7ac25905af9a479086d91d28eec28 Mon Sep 17 00:00:00 2001 From: Ken Wiltshire Date: Fri, 25 Oct 2024 11:28:41 -0400 Subject: [PATCH 095/258] adding neo4j integration --- lightrag/storage.py | 243 +++++++++++++++++++++++++++++++++++++++++++- 1 file changed, 240 insertions(+), 3 deletions(-) diff --git a/lightrag/storage.py b/lightrag/storage.py index 1f22fc56..704dc4e8 100644 --- a/lightrag/storage.py +++ b/lightrag/storage.py @@ -97,14 +97,66 @@ async def upsert(self, data: dict[str, dict]): d["__vector__"] = embeddings[i] results = self._client.upsert(datas=list_data) return results + + +@dataclass +class PineConeVectorDBStorage(BaseVectorStorage): + cosine_better_than_threshold: float = 0.2 + + def __post_init__(self): + self._client_file_name = os.path.join( + self.global_config["working_dir"], f"vdb_{self.namespace}.json" + ) + self._max_batch_size = self.global_config["embedding_batch_num"] + self._client = NanoVectorDB( + self.embedding_func.embedding_dim, storage_file=self._client_file_name + ) + import os + from pinecone import Pinecone + + pc = Pinecone() #api_key=os.environ.get('PINECONE_API_KEY')) + # From here on, everything is identical to the REST-based SDK. + self._client = pc.Index(host=self._client_pinecone_host)#'my-index-8833ca1.svc.us-east1-gcp.pinecone.io') + + self.cosine_better_than_threshold = self.global_config.get( + "cosine_better_than_threshold", self.cosine_better_than_threshold + ) + + async def upsert(self, data: dict[str, dict]): + logger.info(f"Inserting {len(data)} vectors to {self.namespace}") + if not len(data): + logger.warning("You insert an empty data to vector DB") + return [] + list_data = [ + { + "__id__": k, + **{k1: v1 for k1, v1 in v.items() if k1 in self.meta_fields}, + } + for k, v in data.items() + ] + contents = [v["content"] for v in data.values()] + batches = [ + contents[i : i + self._max_batch_size] + for i in range(0, len(contents), self._max_batch_size) + ] + embeddings_list = await asyncio.gather( + *[self.embedding_func(batch) for batch in batches] + ) + embeddings = np.concatenate(embeddings_list) + for i, d in enumerate(list_data): + d["__vector__"] = embeddings[i] + # self._client.upsert(vectors=[]) pinecone + results = self._client.upsert(datas=list_data) + return results async def query(self, query: str, top_k=5): embedding = await self.embedding_func([query]) embedding = embedding[0] + # self._client.query(vector=[...], top_key=10) pinecone results = self._client.query( - query=embedding, + vector=embedding, top_k=top_k, - better_than_threshold=self.cosine_better_than_threshold, + better_than_threshold=self.cosine_better_than_threshold, ??? ) results = [ {**dp, "id": dp["__id__"], "distance": dp["__metrics__"]} for dp in results @@ -112,7 +164,8 @@ async def query(self, query: str, top_k=5): return results async def index_done_callback(self): - self._client.save() + print("self._client.save()") + # self._client.save() @dataclass @@ -243,3 +296,187 @@ async def _node2vec_embed(self): nodes_ids = [self._graph.nodes[node_id]["id"] for node_id in nodes] return embeddings, nodes_ids + + +@dataclass +class Neo4JStorage(BaseGraphStorage): + @staticmethod + def load_nx_graph(file_name) -> nx.Graph: + if os.path.exists(file_name): + return nx.read_graphml(file_name) + return None + + # @staticmethod + # def write_nx_graph(graph: nx.Graph, file_name): + # logger.info( + # f"Writing graph with {graph.number_of_nodes()} nodes, {graph.number_of_edges()} edges" + # ) + # nx.write_graphml(graph, file_name) + + + def __post_init__(self): + self._graphml_xml_file = os.path.join( + self.global_config["working_dir"], f"graph_{self.namespace}.graphml" + ) + preloaded_graph = NetworkXStorage.load_nx_graph(self._graphml_xml_file) + if preloaded_graph is not None: + logger.info( + f"Loaded graph from {self._graphml_xml_file} with {preloaded_graph.number_of_nodes()} nodes, {preloaded_graph.number_of_edges()} edges" + ) + self._graph = preloaded_graph or nx.Graph() + self._node_embed_algorithms = { + "node2vec": self._node2vec_embed, + } + + async def index_done_callback(self): + print ("KG successfully indexed.") + # Neo4JStorage.write_nx_graph(self._graph, self._graphml_xml_file) + async def has_node(self, node_id: str) -> bool: + entity_name_label = node_id + with self.driver.session() as session: + return session.read_transaction(self._check_node_exists, entity_name_label) + + @staticmethod + def _check_node_exists(tx, label): + query = f"MATCH (n:{label}) RETURN count(n) > 0 AS node_exists" + result = tx.run(query) + return result.single()["node_exists"] + + async def has_edge(self, source_node_id: str, target_node_id: str) -> bool: + entity_name_label_source = source_node_id + entity_name_label_target = target_node_id + #hard code relaitionship type + with self.driver.session() as session: + result = session.read_transaction(self._check_edge_existence, entity_name_label_source, entity_name_label_target) + return result + + @staticmethod + def _check_edge_existence(tx, label1, label2): + query = ( + f"MATCH (a:{label1})-[r]-(b:{label2}) " + "RETURN COUNT(r) > 0 AS edgeExists" + ) + result = tx.run(query) + return result.single()["edgeExists"] + def close(self): + self.driver.close() + + + + async def get_node(self, node_id: str) -> Union[dict, None]: + entity_name_label = node_id + with driver.session() as session: + result = session.run( + "MATCH (n) WHERE n.name = $name RETURN n", + name=node_name + ) + + for record in result: + return record["n"] # Return the first matching node + + + + async def node_degree(self, node_id: str) -> int: + entity_name_label = node_id + neo4j = Neo4j("bolt://localhost:7687", "neo4j", "password") + with neo4j.driver.session() as session: + degree = Neo4j.find_node_degree(session, entity_name_label) + return degree + + @staticmethod + def find_node_degree(session, label): + with session.begin_transaction() as tx: + result = tx.run("MATCH (n:`{label}`) RETURN n, size((n)--()) AS degree".format(label=label)) + record = result.single() + if record: + return record["degree"] + else: + return None + +# edge_degree + # from neo4j import GraphDatabase + + # driver = GraphDatabase.driver("bolt://localhost:7687", auth=("neo4j", "password")) + + # + # + # def edge_degree(tx, source_id, target_id): + # result = tx.run(""" + # MATCH (source) WHERE ID(source) = $source_id + # MATCH (target) WHERE ID(target) = $target_id + # MATCH (source)-[r]-(target) + # RETURN COUNT(r) AS degree + # """, source_id=source_id, target_id=target_id) + + # return result.single()["degree"] + + # with driver.session() as session: + # degree = session.read_transaction(get_edge_degree, 1, 2) + # print("Degree of edge between source and target:", degree) + + + + #get_edge + # def get_edge(driver, node_id): + # with driver.session() as session: + # result = session.run( + # """ + # MATCH (n)-[r]-(m) + # WHERE id(n) = $node_id + # RETURN r + # """, + # node_id=node_id + # ) + # return [record["r"] for record in result] + + # driver = GraphDatabase.driver("bolt://localhost:7687", auth=("neo4j", "password")) + + # edges = get_node_edges(driver, 123) # Replace 123 with the actual node ID + + # for edge in edges: + # print(f"Edge ID: {edge.id}, Type: {edge.type}, Start: {edge.start_node.id}, End: {edge.end_node.id}") + + # driver.close() + + +#upsert_node + #add_node, upsert_node + # async def upsert_node(self, node_id: str, node_data: dict[str, str]): + # node_name = node_id + # with driver.session() as session: + # session.run("CREATE (p:$node_name $node_data)", node_name=node_name, node_data=**node_data) + + # with GraphDatabase.driver(URI, auth=AUTH) as driver: + # add_node(driver, entity, data) + +#async def upsert_edge(self, source_node_id: str, target_node_id: str, edge_data: dict[str, str]): + # def add_edge_with_data(tx, source_node_id, target_node_id, relationship_type, edge_data: dict[str, str]): + # source_node_name = source_node_id + # target_node_name = target_node_id + # tx.run("MATCH (s), (t) WHERE id(s) = $source_node_id AND id(t) = $target_node_id " + # "CREATE (s)-[r:$relationship_type]->(t) SET r = $data", + # source_node_id=source_node_id, target_node_id=target_node_id, + # relationship_type=relationship_type, data=edge_data) + + # with driver.session() as session: + # session.write_transaction(add_edge_with_data, 1, 2, "KNOWS", {"since": 2020, "strength": 5}) + + +#async def _node2vec_embed(self): + # # async def _node2vec_embed(self): + # with driver.session() as session: + # #Define the Cypher query + # options = self.global_config["node2vec_params"] + # query = f"""CALL gds.node2vec.stream('myGraph', {**options}) + # YIELD nodeId, embedding + # RETURN nodeId, embedding""" + # # Run the query and process the results + # results = session.run(query) + # for record in results: + # node_id = record["nodeId"] + # embedding = record["embedding"] + # print(f"Node ID: {node_id}, Embedding: {embedding}") + # #need to return two lists here. + + + From af1a7f66fa703ba42904fcbe70d3ef7fff317bbf Mon Sep 17 00:00:00 2001 From: "zhenjie.ye" Date: Sat, 26 Oct 2024 00:37:03 +0800 Subject: [PATCH 096/258] add Algorithm Flowchart --- README.md | 4 ++++ 1 file changed, 4 insertions(+) diff --git a/README.md b/README.md index dbabcb56..f2f5c20e 100644 --- a/README.md +++ b/README.md @@ -28,6 +28,10 @@ This repository hosts the code of LightRAG. The structure of this code is based - [x] [2024.10.16]🎯🎯📢📢LightRAG now supports [Ollama models](https://github.com/HKUDS/LightRAG?tab=readme-ov-file#quick-start)! - [x] [2024.10.15]🎯🎯📢📢LightRAG now supports [Hugging Face models](https://github.com/HKUDS/LightRAG?tab=readme-ov-file#quick-start)! +## Algorithm Flowchart + + + ## Install * Install from source (Recommend) From aad2e1f2d609e7626e29da32e699e647930e8493 Mon Sep 17 00:00:00 2001 From: "zhenjie.ye" Date: Sat, 26 Oct 2024 00:37:46 +0800 Subject: [PATCH 097/258] add Algorithm FLowchart --- README.md | 1 + 1 file changed, 1 insertion(+) diff --git a/README.md b/README.md index f2f5c20e..0f8659b1 100644 --- a/README.md +++ b/README.md @@ -30,6 +30,7 @@ This repository hosts the code of LightRAG. The structure of this code is based ## Algorithm Flowchart +![LightRAG_Self excalidraw](https://github.com/user-attachments/assets/aa5c4892-2e44-49e6-a116-2403ed80a1a3) ## Install From 226f6f3d87febd3041017d3d0299a00138ce8832 Mon Sep 17 00:00:00 2001 From: tackhwa Date: Sat, 26 Oct 2024 02:20:23 +0800 Subject: [PATCH 098/258] fix hf output bug --- lightrag/llm.py | 3 ++- 1 file changed, 2 insertions(+), 1 deletion(-) diff --git a/lightrag/llm.py b/lightrag/llm.py index 4dcf535c..692937fb 100644 --- a/lightrag/llm.py +++ b/lightrag/llm.py @@ -266,10 +266,11 @@ async def hf_model_if_cache( input_ids = hf_tokenizer( input_prompt, return_tensors="pt", padding=True, truncation=True ).to("cuda") + inputs = {k: v.to(hf_model.device) for k, v in input_ids.items()} output = hf_model.generate( **input_ids, max_new_tokens=200, num_return_sequences=1, early_stopping=True ) - response_text = hf_tokenizer.decode(output[0], skip_special_tokens=True) + response_text = hf_tokenizer.decode(output[0][len(inputs["input_ids"][0]):], skip_special_tokens=True) if hashing_kv is not None: await hashing_kv.upsert({args_hash: {"return": response_text, "model": model}}) return response_text From 87f8b7dba1a334459b7401a6b88e68fd7e0ecc33 Mon Sep 17 00:00:00 2001 From: tackhwa <55059307+tackhwa@users.noreply.github.com> Date: Sat, 26 Oct 2024 02:42:40 +0800 Subject: [PATCH 099/258] Update token length --- lightrag/llm.py | 2 +- 1 file changed, 1 insertion(+), 1 deletion(-) diff --git a/lightrag/llm.py b/lightrag/llm.py index 692937fb..ab459fc7 100644 --- a/lightrag/llm.py +++ b/lightrag/llm.py @@ -268,7 +268,7 @@ async def hf_model_if_cache( ).to("cuda") inputs = {k: v.to(hf_model.device) for k, v in input_ids.items()} output = hf_model.generate( - **input_ids, max_new_tokens=200, num_return_sequences=1, early_stopping=True + **input_ids, max_new_tokens=512, num_return_sequences=1, early_stopping=True ) response_text = hf_tokenizer.decode(output[0][len(inputs["input_ids"][0]):], skip_special_tokens=True) if hashing_kv is not None: From 6e216abee6b910cff41531316bf8255819633bde Mon Sep 17 00:00:00 2001 From: Ken Wiltshire Date: Fri, 25 Oct 2024 17:45:59 -0400 Subject: [PATCH 100/258] adding neo4j --- lightrag/storage.py | 16 +++++++++++++--- 1 file changed, 13 insertions(+), 3 deletions(-) diff --git a/lightrag/storage.py b/lightrag/storage.py index 704dc4e8..cd313397 100644 --- a/lightrag/storage.py +++ b/lightrag/storage.py @@ -393,9 +393,19 @@ def find_node_degree(session, label): else: return None -# edge_degree - # from neo4j import GraphDatabase - + # edge_degree + # from neo4j import GraphDatabase + async def edge_degree(self, src_id: str, tgt_id: str) -> int: + entity_name__label_source = src_id + entity_name_label_target = tgt_id + with graph_db.session() as session: + result = session.run( + """MATCH (n1:{node_label1})-[r]-(n2:{node_label2}) + RETURN count(r) AS degree""" + .format(node_label1=node_label1, node_label2=node_label2) + ) + record = result.single() + return record["degree"] # driver = GraphDatabase.driver("bolt://localhost:7687", auth=("neo4j", "password")) # From eec29d041aaf314d69ff4eae7661dcdc9a21b107 Mon Sep 17 00:00:00 2001 From: Yazington Date: Sat, 26 Oct 2024 00:11:21 -0400 Subject: [PATCH 101/258] fixing bug --- lightrag/lightrag.py | 6 ++++-- lightrag/operate.py | 26 +++++++++++++------------- 2 files changed, 17 insertions(+), 15 deletions(-) diff --git a/lightrag/lightrag.py b/lightrag/lightrag.py index 5137af42..3004f5ed 100644 --- a/lightrag/lightrag.py +++ b/lightrag/lightrag.py @@ -85,7 +85,9 @@ class LightRAG: # LLM llm_model_func: callable = gpt_4o_mini_complete # hf_model_complete# - llm_model_name: str = "meta-llama/Llama-3.2-1B-Instruct" #'meta-llama/Llama-3.2-1B'#'google/gemma-2-2b-it' + llm_model_name: str = ( + "meta-llama/Llama-3.2-1B-Instruct" #'meta-llama/Llama-3.2-1B'#'google/gemma-2-2b-it' + ) llm_model_max_token_size: int = 32768 llm_model_max_async: int = 16 @@ -208,7 +210,7 @@ async def ainsert(self, string_or_strings): logger.info("[Entity Extraction]...") maybe_new_kg = await extract_entities( inserting_chunks, - knwoledge_graph_inst=self.chunk_entity_relation_graph, + knowledge_graph_inst=self.chunk_entity_relation_graph, entity_vdb=self.entities_vdb, relationships_vdb=self.relationships_vdb, global_config=asdict(self), diff --git a/lightrag/operate.py b/lightrag/operate.py index a0729cd8..8a6820f5 100644 --- a/lightrag/operate.py +++ b/lightrag/operate.py @@ -124,14 +124,14 @@ async def _handle_single_relationship_extraction( async def _merge_nodes_then_upsert( entity_name: str, nodes_data: list[dict], - knwoledge_graph_inst: BaseGraphStorage, + knowledge_graph_inst: BaseGraphStorage, global_config: dict, ): already_entitiy_types = [] already_source_ids = [] already_description = [] - already_node = await knwoledge_graph_inst.get_node(entity_name) + already_node = await knowledge_graph_inst.get_node(entity_name) if already_node is not None: already_entitiy_types.append(already_node["entity_type"]) already_source_ids.extend( @@ -160,7 +160,7 @@ async def _merge_nodes_then_upsert( description=description, source_id=source_id, ) - await knwoledge_graph_inst.upsert_node( + await knowledge_graph_inst.upsert_node( entity_name, node_data=node_data, ) @@ -172,7 +172,7 @@ async def _merge_edges_then_upsert( src_id: str, tgt_id: str, edges_data: list[dict], - knwoledge_graph_inst: BaseGraphStorage, + knowledge_graph_inst: BaseGraphStorage, global_config: dict, ): already_weights = [] @@ -180,8 +180,8 @@ async def _merge_edges_then_upsert( already_description = [] already_keywords = [] - if await knwoledge_graph_inst.has_edge(src_id, tgt_id): - already_edge = await knwoledge_graph_inst.get_edge(src_id, tgt_id) + if await knowledge_graph_inst.has_edge(src_id, tgt_id): + already_edge = await knowledge_graph_inst.get_edge(src_id, tgt_id) already_weights.append(already_edge["weight"]) already_source_ids.extend( split_string_by_multi_markers(already_edge["source_id"], [GRAPH_FIELD_SEP]) @@ -202,8 +202,8 @@ async def _merge_edges_then_upsert( set([dp["source_id"] for dp in edges_data] + already_source_ids) ) for need_insert_id in [src_id, tgt_id]: - if not (await knwoledge_graph_inst.has_node(need_insert_id)): - await knwoledge_graph_inst.upsert_node( + if not (await knowledge_graph_inst.has_node(need_insert_id)): + await knowledge_graph_inst.upsert_node( need_insert_id, node_data={ "source_id": source_id, @@ -214,7 +214,7 @@ async def _merge_edges_then_upsert( description = await _handle_entity_relation_summary( (src_id, tgt_id), description, global_config ) - await knwoledge_graph_inst.upsert_edge( + await knowledge_graph_inst.upsert_edge( src_id, tgt_id, edge_data=dict( @@ -237,7 +237,7 @@ async def _merge_edges_then_upsert( async def extract_entities( chunks: dict[str, TextChunkSchema], - knwoledge_graph_inst: BaseGraphStorage, + knowledge_graph_inst: BaseGraphStorage, entity_vdb: BaseVectorStorage, relationships_vdb: BaseVectorStorage, global_config: dict, @@ -341,13 +341,13 @@ async def _process_single_content(chunk_key_dp: tuple[str, TextChunkSchema]): maybe_edges[tuple(sorted(k))].extend(v) all_entities_data = await asyncio.gather( *[ - _merge_nodes_then_upsert(k, v, knwoledge_graph_inst, global_config) + _merge_nodes_then_upsert(k, v, knowledge_graph_inst, global_config) for k, v in maybe_nodes.items() ] ) all_relationships_data = await asyncio.gather( *[ - _merge_edges_then_upsert(k[0], k[1], v, knwoledge_graph_inst, global_config) + _merge_edges_then_upsert(k[0], k[1], v, knowledge_graph_inst, global_config) for k, v in maybe_edges.items() ] ) @@ -384,7 +384,7 @@ async def _process_single_content(chunk_key_dp: tuple[str, TextChunkSchema]): } await relationships_vdb.upsert(data_for_vdb) - return knwoledge_graph_inst + return knowledge_graph_inst async def local_query( From e07b9f05306e2b21b1acfe47b3c47118bf658de9 Mon Sep 17 00:00:00 2001 From: zrguo <49157727+LarFii@users.noreply.github.com> Date: Sat, 26 Oct 2024 14:04:11 +0800 Subject: [PATCH 102/258] Update graph_visual_with_html.py --- examples/graph_visual_with_html.py | 2 +- 1 file changed, 1 insertion(+), 1 deletion(-) diff --git a/examples/graph_visual_with_html.py b/examples/graph_visual_with_html.py index e4337a54..11279b3a 100644 --- a/examples/graph_visual_with_html.py +++ b/examples/graph_visual_with_html.py @@ -6,7 +6,7 @@ G = nx.read_graphml("./dickens/graph_chunk_entity_relation.graphml") # Create a Pyvis network -net = Network(notebook=True) +net = Network(height="100vh", notebook=True) # Convert NetworkX graph to Pyvis network net.from_nx(G) From ea3e13b522afdb7533d1b1098b5d2461f98c1ad6 Mon Sep 17 00:00:00 2001 From: LarFii <834462287@qq.com> Date: Sat, 26 Oct 2024 14:40:17 +0800 Subject: [PATCH 103/258] update version --- lightrag/__init__.py | 2 +- 1 file changed, 1 insertion(+), 1 deletion(-) diff --git a/lightrag/__init__.py b/lightrag/__init__.py index db81e005..8e76a260 100644 --- a/lightrag/__init__.py +++ b/lightrag/__init__.py @@ -1,5 +1,5 @@ from .lightrag import LightRAG as LightRAG, QueryParam as QueryParam -__version__ = "0.0.7" +__version__ = "0.0.8" __author__ = "Zirui Guo" __url__ = "https://github.com/HKUDS/LightRAG" From dba7dad6dff4c588b6fd6c0d59830f910df18650 Mon Sep 17 00:00:00 2001 From: "zhenjie.ye" Date: Sat, 26 Oct 2024 15:56:48 +0800 Subject: [PATCH 104/258] [feat] Add API server implementation and endpoints --- README.md | 119 ++++++++++++++ .../lightrag_api_openai_compatible_demo.py | 153 ++++++++++++++++++ 2 files changed, 272 insertions(+) create mode 100644 examples/lightrag_api_openai_compatible_demo.py diff --git a/README.md b/README.md index 7fab9a01..d11b1691 100644 --- a/README.md +++ b/README.md @@ -397,6 +397,125 @@ if __name__ == "__main__":
+## API Server Implementation + +LightRAG also provides a FastAPI-based server implementation for RESTful API access to RAG operations. This allows you to run LightRAG as a service and interact with it through HTTP requests. + +### Setting up the API Server +
+Click to expand setup instructions + +1. First, ensure you have the required dependencies: +```bash +pip install fastapi uvicorn pydantic +``` + +2. Set up your environment variables: +```bash +export RAG_DIR="your_index_directory" # Optional: Defaults to "index_default" +``` + +3. Run the API server: +```bash +python examples/lightrag_api_openai_compatible_demo.py +``` + +The server will start on `http://0.0.0.0:8020`. +
+ +### API Endpoints + +The API server provides the following endpoints: + +#### 1. Query Endpoint +
+Click to view Query endpoint details + +- **URL:** `/query` +- **Method:** POST +- **Body:** +```json +{ + "query": "Your question here", + "mode": "hybrid" // Can be "naive", "local", "global", or "hybrid" +} +``` +- **Example:** +```bash +curl -X POST "http://127.0.0.1:8020/query" \ + -H "Content-Type: application/json" \ + -d '{"query": "What are the main themes?", "mode": "hybrid"}' +``` +
+ +#### 2. Insert Text Endpoint +
+Click to view Insert Text endpoint details + +- **URL:** `/insert` +- **Method:** POST +- **Body:** +```json +{ + "text": "Your text content here" +} +``` +- **Example:** +```bash +curl -X POST "http://127.0.0.1:8020/insert" \ + -H "Content-Type: application/json" \ + -d '{"text": "Content to be inserted into RAG"}' +``` +
+ +#### 3. Insert File Endpoint +
+Click to view Insert File endpoint details + +- **URL:** `/insert_file` +- **Method:** POST +- **Body:** +```json +{ + "file_path": "path/to/your/file.txt" +} +``` +- **Example:** +```bash +curl -X POST "http://127.0.0.1:8020/insert_file" \ + -H "Content-Type: application/json" \ + -d '{"file_path": "./book.txt"}' +``` +
+ +#### 4. Health Check Endpoint +
+Click to view Health Check endpoint details + +- **URL:** `/health` +- **Method:** GET +- **Example:** +```bash +curl -X GET "http://127.0.0.1:8020/health" +``` +
+ +### Configuration + +The API server can be configured using environment variables: +- `RAG_DIR`: Directory for storing the RAG index (default: "index_default") +- API keys and base URLs should be configured in the code for your specific LLM and embedding model providers + +### Error Handling +
+Click to view error handling details + +The API includes comprehensive error handling: +- File not found errors (404) +- Processing errors (500) +- Supports multiple file encodings (UTF-8 and GBK) +
+ ## Evaluation ### Dataset The dataset used in LightRAG can be downloaded from [TommyChien/UltraDomain](https://huggingface.co/datasets/TommyChien/UltraDomain). diff --git a/examples/lightrag_api_openai_compatible_demo.py b/examples/lightrag_api_openai_compatible_demo.py new file mode 100644 index 00000000..f8d105ea --- /dev/null +++ b/examples/lightrag_api_openai_compatible_demo.py @@ -0,0 +1,153 @@ +from fastapi import FastAPI, HTTPException +from pydantic import BaseModel +import os +from lightrag import LightRAG, QueryParam +from lightrag.llm import openai_complete_if_cache, openai_embedding +from lightrag.utils import EmbeddingFunc +import numpy as np +from typing import Optional +import asyncio +import nest_asyncio + +# Apply nest_asyncio to solve event loop issues +nest_asyncio.apply() + +DEFAULT_RAG_DIR="index_default" +app = FastAPI(title="LightRAG API", description="API for RAG operations") + +# Configure working directory +WORKING_DIR = os.environ.get('RAG_DIR', f'{DEFAULT_RAG_DIR}') +print(f"WORKING_DIR: {WORKING_DIR}") +if not os.path.exists(WORKING_DIR): + os.mkdir(WORKING_DIR) + +# LLM model function +async def llm_model_func( + prompt, system_prompt=None, history_messages=[], **kwargs +) -> str: + return await openai_complete_if_cache( + "gpt-4o-mini", + prompt, + system_prompt=system_prompt, + history_messages=history_messages, + api_key='YOUR_API_KEY', + base_url="YourURL/v1", + **kwargs, + ) + +# Embedding function +async def embedding_func(texts: list[str]) -> np.ndarray: + return await openai_embedding( + texts, + model="text-embedding-3-large", + api_key='YOUR_API_KEY', + base_url="YourURL/v1", + ) + +# Initialize RAG instance +rag = LightRAG( + working_dir=WORKING_DIR, + llm_model_func=llm_model_func, + embedding_func=EmbeddingFunc( + embedding_dim=3072, max_token_size=8192, func=embedding_func + ), +) + +# Data models +class QueryRequest(BaseModel): + query: str + mode: str = "hybrid" + +class InsertRequest(BaseModel): + text: str + +class InsertFileRequest(BaseModel): + file_path: str + +class Response(BaseModel): + status: str + data: Optional[str] = None + message: Optional[str] = None + +# API routes +@app.post("/query", response_model=Response) +async def query_endpoint(request: QueryRequest): + try: + loop = asyncio.get_event_loop() + result = await loop.run_in_executor( + None, + lambda: rag.query(request.query, param=QueryParam(mode=request.mode)) + ) + return Response( + status="success", + data=result + ) + except Exception as e: + raise HTTPException(status_code=500, detail=str(e)) + +@app.post("/insert", response_model=Response) +async def insert_endpoint(request: InsertRequest): + try: + loop = asyncio.get_event_loop() + await loop.run_in_executor(None, lambda: rag.insert(request.text)) + return Response( + status="success", + message="Text inserted successfully" + ) + except Exception as e: + raise HTTPException(status_code=500, detail=str(e)) + +@app.post("/insert_file", response_model=Response) +async def insert_file(request: InsertFileRequest): + try: + # Check if file exists + if not os.path.exists(request.file_path): + raise HTTPException( + status_code=404, + detail=f"File not found: {request.file_path}" + ) + + # Read file content + try: + with open(request.file_path, 'r', encoding='utf-8') as f: + content = f.read() + except UnicodeDecodeError: + # If UTF-8 decoding fails, try other encodings + with open(request.file_path, 'r', encoding='gbk') as f: + content = f.read() + + # Insert file content + loop = asyncio.get_event_loop() + await loop.run_in_executor(None, lambda: rag.insert(content)) + + return Response( + status="success", + message=f"File content from {request.file_path} inserted successfully" + ) + except Exception as e: + raise HTTPException(status_code=500, detail=str(e)) + +@app.get("/health") +async def health_check(): + return {"status": "healthy"} + +if __name__ == "__main__": + import uvicorn + uvicorn.run(app, host="0.0.0.0", port=8020) + +# Usage example +# To run the server, use the following command in your terminal: +# python lightrag_api_openai_compatible_demo.py + +# Example requests: +# 1. Query: +# curl -X POST "http://127.0.0.1:8020/query" -H "Content-Type: application/json" -d '{"query": "your query here", "mode": "hybrid"}' + +# 2. Insert text: +# curl -X POST "http://127.0.0.1:8020/insert" -H "Content-Type: application/json" -d '{"text": "your text here"}' + +# 3. Insert file: +# curl -X POST "http://127.0.0.1:8020/insert_file" -H "Content-Type: application/json" -d '{"file_path": "path/to/your/file.txt"}' + +# 4. Health check: +# curl -X GET "http://127.0.0.1:8020/health" \ No newline at end of file From 3d7b05b3e7d78435929ef5f1d878b9968ce5519d Mon Sep 17 00:00:00 2001 From: "zhenjie.ye" Date: Sat, 26 Oct 2024 16:00:30 +0800 Subject: [PATCH 105/258] Refactor code formatting in lightrag_api_openai_compatible_demo.py --- .../lightrag_api_openai_compatible_demo.py | 29 ++++++++++++++----- 1 file changed, 22 insertions(+), 7 deletions(-) diff --git a/examples/lightrag_api_openai_compatible_demo.py b/examples/lightrag_api_openai_compatible_demo.py index f8d105ea..ad9560dc 100644 --- a/examples/lightrag_api_openai_compatible_demo.py +++ b/examples/lightrag_api_openai_compatible_demo.py @@ -12,7 +12,7 @@ # Apply nest_asyncio to solve event loop issues nest_asyncio.apply() -DEFAULT_RAG_DIR="index_default" +DEFAULT_RAG_DIR = "index_default" app = FastAPI(title="LightRAG API", description="API for RAG operations") # Configure working directory @@ -22,6 +22,8 @@ os.mkdir(WORKING_DIR) # LLM model function + + async def llm_model_func( prompt, system_prompt=None, history_messages=[], **kwargs ) -> str: @@ -36,6 +38,8 @@ async def llm_model_func( ) # Embedding function + + async def embedding_func(texts: list[str]) -> np.ndarray: return await openai_embedding( texts, @@ -54,29 +58,37 @@ async def embedding_func(texts: list[str]) -> np.ndarray: ) # Data models + + class QueryRequest(BaseModel): query: str mode: str = "hybrid" + class InsertRequest(BaseModel): text: str + class InsertFileRequest(BaseModel): file_path: str + class Response(BaseModel): status: str data: Optional[str] = None message: Optional[str] = None # API routes + + @app.post("/query", response_model=Response) async def query_endpoint(request: QueryRequest): try: loop = asyncio.get_event_loop() result = await loop.run_in_executor( - None, - lambda: rag.query(request.query, param=QueryParam(mode=request.mode)) + None, + lambda: rag.query( + request.query, param=QueryParam(mode=request.mode)) ) return Response( status="success", @@ -85,6 +97,7 @@ async def query_endpoint(request: QueryRequest): except Exception as e: raise HTTPException(status_code=500, detail=str(e)) + @app.post("/insert", response_model=Response) async def insert_endpoint(request: InsertRequest): try: @@ -97,6 +110,7 @@ async def insert_endpoint(request: InsertRequest): except Exception as e: raise HTTPException(status_code=500, detail=str(e)) + @app.post("/insert_file", response_model=Response) async def insert_file(request: InsertFileRequest): try: @@ -106,7 +120,7 @@ async def insert_file(request: InsertFileRequest): status_code=404, detail=f"File not found: {request.file_path}" ) - + # Read file content try: with open(request.file_path, 'r', encoding='utf-8') as f: @@ -115,11 +129,11 @@ async def insert_file(request: InsertFileRequest): # If UTF-8 decoding fails, try other encodings with open(request.file_path, 'r', encoding='gbk') as f: content = f.read() - + # Insert file content loop = asyncio.get_event_loop() await loop.run_in_executor(None, lambda: rag.insert(content)) - + return Response( status="success", message=f"File content from {request.file_path} inserted successfully" @@ -127,6 +141,7 @@ async def insert_file(request: InsertFileRequest): except Exception as e: raise HTTPException(status_code=500, detail=str(e)) + @app.get("/health") async def health_check(): return {"status": "healthy"} @@ -150,4 +165,4 @@ async def health_check(): # curl -X POST "http://127.0.0.1:8020/insert_file" -H "Content-Type: application/json" -d '{"file_path": "path/to/your/file.txt"}' # 4. Health check: -# curl -X GET "http://127.0.0.1:8020/health" \ No newline at end of file +# curl -X GET "http://127.0.0.1:8020/health" From 981be9e569af127e755612eaf94c07c19b193f2f Mon Sep 17 00:00:00 2001 From: "zhenjie.ye" Date: Sat, 26 Oct 2024 16:09:36 +0800 Subject: [PATCH 106/258] Refactor code formatting in lightrag_api_openai_compatible_demo.py --- .../lightrag_api_openai_compatible_demo.py | 34 ++++++++----------- 1 file changed, 15 insertions(+), 19 deletions(-) diff --git a/examples/lightrag_api_openai_compatible_demo.py b/examples/lightrag_api_openai_compatible_demo.py index ad9560dc..2cd262bb 100644 --- a/examples/lightrag_api_openai_compatible_demo.py +++ b/examples/lightrag_api_openai_compatible_demo.py @@ -16,7 +16,7 @@ app = FastAPI(title="LightRAG API", description="API for RAG operations") # Configure working directory -WORKING_DIR = os.environ.get('RAG_DIR', f'{DEFAULT_RAG_DIR}') +WORKING_DIR = os.environ.get("RAG_DIR", f"{DEFAULT_RAG_DIR}") print(f"WORKING_DIR: {WORKING_DIR}") if not os.path.exists(WORKING_DIR): os.mkdir(WORKING_DIR) @@ -32,11 +32,12 @@ async def llm_model_func( prompt, system_prompt=system_prompt, history_messages=history_messages, - api_key='YOUR_API_KEY', + api_key="YOUR_API_KEY", base_url="YourURL/v1", **kwargs, ) + # Embedding function @@ -44,10 +45,11 @@ async def embedding_func(texts: list[str]) -> np.ndarray: return await openai_embedding( texts, model="text-embedding-3-large", - api_key='YOUR_API_KEY', + api_key="YOUR_API_KEY", base_url="YourURL/v1", ) + # Initialize RAG instance rag = LightRAG( working_dir=WORKING_DIR, @@ -78,6 +80,7 @@ class Response(BaseModel): data: Optional[str] = None message: Optional[str] = None + # API routes @@ -86,14 +89,9 @@ async def query_endpoint(request: QueryRequest): try: loop = asyncio.get_event_loop() result = await loop.run_in_executor( - None, - lambda: rag.query( - request.query, param=QueryParam(mode=request.mode)) - ) - return Response( - status="success", - data=result + None, lambda: rag.query(request.query, param=QueryParam(mode=request.mode)) ) + return Response(status="success", data=result) except Exception as e: raise HTTPException(status_code=500, detail=str(e)) @@ -103,10 +101,7 @@ async def insert_endpoint(request: InsertRequest): try: loop = asyncio.get_event_loop() await loop.run_in_executor(None, lambda: rag.insert(request.text)) - return Response( - status="success", - message="Text inserted successfully" - ) + return Response(status="success", message="Text inserted successfully") except Exception as e: raise HTTPException(status_code=500, detail=str(e)) @@ -117,17 +112,16 @@ async def insert_file(request: InsertFileRequest): # Check if file exists if not os.path.exists(request.file_path): raise HTTPException( - status_code=404, - detail=f"File not found: {request.file_path}" + status_code=404, detail=f"File not found: {request.file_path}" ) # Read file content try: - with open(request.file_path, 'r', encoding='utf-8') as f: + with open(request.file_path, "r", encoding="utf-8") as f: content = f.read() except UnicodeDecodeError: # If UTF-8 decoding fails, try other encodings - with open(request.file_path, 'r', encoding='gbk') as f: + with open(request.file_path, "r", encoding="gbk") as f: content = f.read() # Insert file content @@ -136,7 +130,7 @@ async def insert_file(request: InsertFileRequest): return Response( status="success", - message=f"File content from {request.file_path} inserted successfully" + message=f"File content from {request.file_path} inserted successfully", ) except Exception as e: raise HTTPException(status_code=500, detail=str(e)) @@ -146,8 +140,10 @@ async def insert_file(request: InsertFileRequest): async def health_check(): return {"status": "healthy"} + if __name__ == "__main__": import uvicorn + uvicorn.run(app, host="0.0.0.0", port=8020) # Usage example From 8deb30aa205de458b727a24345f8b4a511dabafc Mon Sep 17 00:00:00 2001 From: tackhwa Date: Sat, 26 Oct 2024 16:11:15 +0800 Subject: [PATCH 107/258] support lmdeploy backend --- examples/lightrag_lmdeploy_demo.py | 74 +++++++++++++++++++++ lightrag/llm.py | 100 +++++++++++++++++++++++++++++ requirements.txt | 1 + 3 files changed, 175 insertions(+) create mode 100644 examples/lightrag_lmdeploy_demo.py diff --git a/examples/lightrag_lmdeploy_demo.py b/examples/lightrag_lmdeploy_demo.py new file mode 100644 index 00000000..ea7ace0e --- /dev/null +++ b/examples/lightrag_lmdeploy_demo.py @@ -0,0 +1,74 @@ +import os + +from lightrag import LightRAG, QueryParam +from lightrag.llm import lmdeploy_model_if_cache, hf_embedding +from lightrag.utils import EmbeddingFunc +from transformers import AutoModel, AutoTokenizer + +WORKING_DIR = "./dickens" + +if not os.path.exists(WORKING_DIR): + os.mkdir(WORKING_DIR) + +async def lmdeploy_model_complete( + prompt=None, system_prompt=None, history_messages=[], **kwargs +) -> str: + model_name = kwargs["hashing_kv"].global_config["llm_model_name"] + return await lmdeploy_model_if_cache( + model_name, + prompt, + system_prompt=system_prompt, + history_messages=history_messages, + ## please specify chat_template if your local path does not follow original HF file name, + ## or model_name is a pytorch model on huggingface.co, + ## you can refer to https://github.com/InternLM/lmdeploy/blob/main/lmdeploy/model.py + ## for a list of chat_template available in lmdeploy. + chat_template = "llama3", + # model_format ='awq', # if you are using awq quantization model. + # quant_policy=8, # if you want to use online kv cache, 4=kv int4, 8=kv int8. + **kwargs, + ) + + +rag = LightRAG( + working_dir=WORKING_DIR, + llm_model_func=lmdeploy_model_complete, + llm_model_name="meta-llama/Llama-3.1-8B-Instruct", # please use definite path for local model + embedding_func=EmbeddingFunc( + embedding_dim=384, + max_token_size=5000, + func=lambda texts: hf_embedding( + texts, + tokenizer=AutoTokenizer.from_pretrained( + "sentence-transformers/all-MiniLM-L6-v2" + ), + embed_model=AutoModel.from_pretrained( + "sentence-transformers/all-MiniLM-L6-v2" + ), + ), + ), +) + + +with open("./book.txt", "r", encoding="utf-8") as f: + rag.insert(f.read()) + +# Perform naive search +print( + rag.query("What are the top themes in this story?", param=QueryParam(mode="naive")) +) + +# Perform local search +print( + rag.query("What are the top themes in this story?", param=QueryParam(mode="local")) +) + +# Perform global search +print( + rag.query("What are the top themes in this story?", param=QueryParam(mode="global")) +) + +# Perform hybrid search +print( + rag.query("What are the top themes in this story?", param=QueryParam(mode="hybrid")) +) diff --git a/lightrag/llm.py b/lightrag/llm.py index bb0d6063..028084bd 100644 --- a/lightrag/llm.py +++ b/lightrag/llm.py @@ -322,6 +322,106 @@ async def ollama_model_if_cache( return result +@lru_cache(maxsize=1) +def initialize_lmdeploy_pipeline(model, tp=1, chat_template=None, log_level='WARNING', model_format='hf', quant_policy=0): + from lmdeploy import pipeline, ChatTemplateConfig, TurbomindEngineConfig + lmdeploy_pipe = pipeline( + model_path=model, + backend_config=TurbomindEngineConfig(tp=tp, model_format=model_format, quant_policy=quant_policy), + chat_template_config=ChatTemplateConfig(model_name=chat_template) if chat_template else None, + log_level='WARNING') + return lmdeploy_pipe + + +async def lmdeploy_model_if_cache( + model, prompt, system_prompt=None, history_messages=[], + chat_template=None, model_format='hf',quant_policy=0, **kwargs +) -> str: + """ + Args: + model (str): The path to the model. + It could be one of the following options: + - i) A local directory path of a turbomind model which is + converted by `lmdeploy convert` command or download + from ii) and iii). + - ii) The model_id of a lmdeploy-quantized model hosted + inside a model repo on huggingface.co, such as + "InternLM/internlm-chat-20b-4bit", + "lmdeploy/llama2-chat-70b-4bit", etc. + - iii) The model_id of a model hosted inside a model repo + on huggingface.co, such as "internlm/internlm-chat-7b", + "Qwen/Qwen-7B-Chat ", "baichuan-inc/Baichuan2-7B-Chat" + and so on. + chat_template (str): needed when model is a pytorch model on + huggingface.co, such as "internlm-chat-7b", + "Qwen-7B-Chat ", "Baichuan2-7B-Chat" and so on, + and when the model name of local path did not match the original model name in HF. + tp (int): tensor parallel + prompt (Union[str, List[str]]): input texts to be completed. + do_preprocess (bool): whether pre-process the messages. Default to + True, which means chat_template will be applied. + skip_special_tokens (bool): Whether or not to remove special tokens + in the decoding. Default to be False. + do_sample (bool): Whether or not to use sampling, use greedy decoding otherwise. + Default to be False, which means greedy decoding will be applied. + """ + try: + import lmdeploy + from lmdeploy import version_info, GenerationConfig + except: + raise ImportError("Please install lmdeploy before intialize lmdeploy backend.") + + kwargs.pop("response_format", None) + max_new_tokens = kwargs.pop("max_tokens", 512) + tp = kwargs.pop('tp', 1) + skip_special_tokens = kwargs.pop('skip_special_tokens', False) + do_preprocess = kwargs.pop('do_preprocess', True) + do_sample = kwargs.pop('do_sample', False) + gen_params = kwargs + + version = version_info + if do_sample is not None and version < (0, 6, 0): + raise RuntimeError( + '`do_sample` parameter is not supported by lmdeploy until ' + f'v0.6.0, but currently using lmdeloy {lmdeploy.__version__}') + else: + do_sample = True + gen_params.update(do_sample=do_sample) + + lmdeploy_pipe = initialize_lmdeploy_pipeline( + model=model, + tp=tp, + chat_template=chat_template, + model_format=model_format, + quant_policy=quant_policy, + log_level='WARNING') + + messages = [] + if system_prompt: + messages.append({"role": "system", "content": system_prompt}) + + hashing_kv: BaseKVStorage = kwargs.pop("hashing_kv", None) + messages.extend(history_messages) + messages.append({"role": "user", "content": prompt}) + if hashing_kv is not None: + args_hash = compute_args_hash(model, messages) + if_cache_return = await hashing_kv.get_by_id(args_hash) + if if_cache_return is not None: + return if_cache_return["return"] + + gen_config = GenerationConfig( + skip_special_tokens=skip_special_tokens, max_new_tokens=max_new_tokens, **gen_params) + + response = "" + async for res in lmdeploy_pipe.generate(messages, gen_config=gen_config, + do_preprocess=do_preprocess, stream_response=False, session_id=1): + response += res.response + + if hashing_kv is not None: + await hashing_kv.upsert({args_hash: {"return": response, "model": model}}) + return response + + async def gpt_4o_complete( prompt, system_prompt=None, history_messages=[], **kwargs ) -> str: diff --git a/requirements.txt b/requirements.txt index 98f32b0a..6b0e025a 100644 --- a/requirements.txt +++ b/requirements.txt @@ -13,3 +13,4 @@ tiktoken torch transformers xxhash +# lmdeploy[all] From 883d6b7cc7fd1df29717ab5858f194cfbf0e3246 Mon Sep 17 00:00:00 2001 From: "zhenjie.ye" Date: Sat, 26 Oct 2024 16:12:10 +0800 Subject: [PATCH 108/258] Refactor code formatting in lightrag_api_openai_compatible_demo.py --- lightrag/lightrag.py | 4 +--- lightrag/llm.py | 4 +++- setup.py | 31 ++++++++++++++++++++++++------- 3 files changed, 28 insertions(+), 11 deletions(-) diff --git a/lightrag/lightrag.py b/lightrag/lightrag.py index 3004f5ed..b84e22ef 100644 --- a/lightrag/lightrag.py +++ b/lightrag/lightrag.py @@ -85,9 +85,7 @@ class LightRAG: # LLM llm_model_func: callable = gpt_4o_mini_complete # hf_model_complete# - llm_model_name: str = ( - "meta-llama/Llama-3.2-1B-Instruct" #'meta-llama/Llama-3.2-1B'#'google/gemma-2-2b-it' - ) + llm_model_name: str = "meta-llama/Llama-3.2-1B-Instruct" #'meta-llama/Llama-3.2-1B'#'google/gemma-2-2b-it' llm_model_max_token_size: int = 32768 llm_model_max_async: int = 16 diff --git a/lightrag/llm.py b/lightrag/llm.py index bb0d6063..fd6b72d6 100644 --- a/lightrag/llm.py +++ b/lightrag/llm.py @@ -286,7 +286,9 @@ async def hf_model_if_cache( output = hf_model.generate( **input_ids, max_new_tokens=512, num_return_sequences=1, early_stopping=True ) - response_text = hf_tokenizer.decode(output[0][len(inputs["input_ids"][0]):], skip_special_tokens=True) + response_text = hf_tokenizer.decode( + output[0][len(inputs["input_ids"][0]) :], skip_special_tokens=True + ) if hashing_kv is not None: await hashing_kv.upsert({args_hash: {"return": response_text, "model": model}}) return response_text diff --git a/setup.py b/setup.py index bdf49f02..1b1f65f0 100644 --- a/setup.py +++ b/setup.py @@ -1,6 +1,7 @@ import setuptools from pathlib import Path + # Reading the long description from README.md def read_long_description(): try: @@ -8,6 +9,7 @@ def read_long_description(): except FileNotFoundError: return "A description of LightRAG is currently unavailable." + # Retrieving metadata from __init__.py def retrieve_metadata(): vars2find = ["__author__", "__version__", "__url__"] @@ -17,18 +19,26 @@ def retrieve_metadata(): for line in f.readlines(): for v in vars2find: if line.startswith(v): - line = line.replace(" ", "").replace('"', "").replace("'", "").strip() + line = ( + line.replace(" ", "") + .replace('"', "") + .replace("'", "") + .strip() + ) vars2readme[v] = line.split("=")[1] except FileNotFoundError: raise FileNotFoundError("Metadata file './lightrag/__init__.py' not found.") - + # Checking if all required variables are found missing_vars = [v for v in vars2find if v not in vars2readme] if missing_vars: - raise ValueError(f"Missing required metadata variables in __init__.py: {missing_vars}") - + raise ValueError( + f"Missing required metadata variables in __init__.py: {missing_vars}" + ) + return vars2readme + # Reading dependencies from requirements.txt def read_requirements(): deps = [] @@ -36,9 +46,12 @@ def read_requirements(): with open("./requirements.txt") as f: deps = [line.strip() for line in f if line.strip()] except FileNotFoundError: - print("Warning: 'requirements.txt' not found. No dependencies will be installed.") + print( + "Warning: 'requirements.txt' not found. No dependencies will be installed." + ) return deps + metadata = retrieve_metadata() long_description = read_long_description() requirements = read_requirements() @@ -51,7 +64,9 @@ def read_requirements(): description="LightRAG: Simple and Fast Retrieval-Augmented Generation", long_description=long_description, long_description_content_type="text/markdown", - packages=setuptools.find_packages(exclude=("tests*", "docs*")), # Automatically find packages + packages=setuptools.find_packages( + exclude=("tests*", "docs*") + ), # Automatically find packages classifiers=[ "Development Status :: 4 - Beta", "Programming Language :: Python :: 3", @@ -66,6 +81,8 @@ def read_requirements(): project_urls={ # Additional project metadata "Documentation": metadata.get("__url__", ""), "Source": metadata.get("__url__", ""), - "Tracker": f"{metadata.get('__url__', '')}/issues" if metadata.get("__url__") else "" + "Tracker": f"{metadata.get('__url__', '')}/issues" + if metadata.get("__url__") + else "", }, ) From 2e703296d5e9f4a15547c1d1be3ecb53eab1925c Mon Sep 17 00:00:00 2001 From: tackhwa Date: Sat, 26 Oct 2024 16:13:18 +0800 Subject: [PATCH 109/258] pre-commit --- examples/lightrag_lmdeploy_demo.py | 7 ++++--- 1 file changed, 4 insertions(+), 3 deletions(-) diff --git a/examples/lightrag_lmdeploy_demo.py b/examples/lightrag_lmdeploy_demo.py index ea7ace0e..aeb96f71 100644 --- a/examples/lightrag_lmdeploy_demo.py +++ b/examples/lightrag_lmdeploy_demo.py @@ -10,10 +10,11 @@ if not os.path.exists(WORKING_DIR): os.mkdir(WORKING_DIR) + async def lmdeploy_model_complete( prompt=None, system_prompt=None, history_messages=[], **kwargs ) -> str: - model_name = kwargs["hashing_kv"].global_config["llm_model_name"] + model_name = kwargs["hashing_kv"].global_config["llm_model_name"] return await lmdeploy_model_if_cache( model_name, prompt, @@ -23,7 +24,7 @@ async def lmdeploy_model_complete( ## or model_name is a pytorch model on huggingface.co, ## you can refer to https://github.com/InternLM/lmdeploy/blob/main/lmdeploy/model.py ## for a list of chat_template available in lmdeploy. - chat_template = "llama3", + chat_template="llama3", # model_format ='awq', # if you are using awq quantization model. # quant_policy=8, # if you want to use online kv cache, 4=kv int4, 8=kv int8. **kwargs, @@ -33,7 +34,7 @@ async def lmdeploy_model_complete( rag = LightRAG( working_dir=WORKING_DIR, llm_model_func=lmdeploy_model_complete, - llm_model_name="meta-llama/Llama-3.1-8B-Instruct", # please use definite path for local model + llm_model_name="meta-llama/Llama-3.1-8B-Instruct", # please use definite path for local model embedding_func=EmbeddingFunc( embedding_dim=384, max_token_size=5000, From 2cf3a85a0f09094372ae632cfce95cf1f649de76 Mon Sep 17 00:00:00 2001 From: tackhwa Date: Sat, 26 Oct 2024 16:24:35 +0800 Subject: [PATCH 110/258] update do_preprocess --- lightrag/llm.py | 77 ++++++++++++++++++++++++++++++++++--------------- 1 file changed, 54 insertions(+), 23 deletions(-) diff --git a/lightrag/llm.py b/lightrag/llm.py index 028084bd..d86886ea 100644 --- a/lightrag/llm.py +++ b/lightrag/llm.py @@ -286,7 +286,9 @@ async def hf_model_if_cache( output = hf_model.generate( **input_ids, max_new_tokens=512, num_return_sequences=1, early_stopping=True ) - response_text = hf_tokenizer.decode(output[0][len(inputs["input_ids"][0]):], skip_special_tokens=True) + response_text = hf_tokenizer.decode( + output[0][len(inputs["input_ids"][0]) :], skip_special_tokens=True + ) if hashing_kv is not None: await hashing_kv.upsert({args_hash: {"return": response_text, "model": model}}) return response_text @@ -323,19 +325,38 @@ async def ollama_model_if_cache( @lru_cache(maxsize=1) -def initialize_lmdeploy_pipeline(model, tp=1, chat_template=None, log_level='WARNING', model_format='hf', quant_policy=0): +def initialize_lmdeploy_pipeline( + model, + tp=1, + chat_template=None, + log_level="WARNING", + model_format="hf", + quant_policy=0, +): from lmdeploy import pipeline, ChatTemplateConfig, TurbomindEngineConfig + lmdeploy_pipe = pipeline( model_path=model, - backend_config=TurbomindEngineConfig(tp=tp, model_format=model_format, quant_policy=quant_policy), - chat_template_config=ChatTemplateConfig(model_name=chat_template) if chat_template else None, - log_level='WARNING') + backend_config=TurbomindEngineConfig( + tp=tp, model_format=model_format, quant_policy=quant_policy + ), + chat_template_config=ChatTemplateConfig(model_name=chat_template) + if chat_template + else None, + log_level="WARNING", + ) return lmdeploy_pipe async def lmdeploy_model_if_cache( - model, prompt, system_prompt=None, history_messages=[], - chat_template=None, model_format='hf',quant_policy=0, **kwargs + model, + prompt, + system_prompt=None, + history_messages=[], + chat_template=None, + model_format="hf", + quant_policy=0, + **kwargs, ) -> str: """ Args: @@ -354,36 +375,37 @@ async def lmdeploy_model_if_cache( and so on. chat_template (str): needed when model is a pytorch model on huggingface.co, such as "internlm-chat-7b", - "Qwen-7B-Chat ", "Baichuan2-7B-Chat" and so on, + "Qwen-7B-Chat ", "Baichuan2-7B-Chat" and so on, and when the model name of local path did not match the original model name in HF. tp (int): tensor parallel prompt (Union[str, List[str]]): input texts to be completed. do_preprocess (bool): whether pre-process the messages. Default to True, which means chat_template will be applied. skip_special_tokens (bool): Whether or not to remove special tokens - in the decoding. Default to be False. - do_sample (bool): Whether or not to use sampling, use greedy decoding otherwise. + in the decoding. Default to be True. + do_sample (bool): Whether or not to use sampling, use greedy decoding otherwise. Default to be False, which means greedy decoding will be applied. """ try: import lmdeploy from lmdeploy import version_info, GenerationConfig - except: + except Exception: raise ImportError("Please install lmdeploy before intialize lmdeploy backend.") - + kwargs.pop("response_format", None) max_new_tokens = kwargs.pop("max_tokens", 512) - tp = kwargs.pop('tp', 1) - skip_special_tokens = kwargs.pop('skip_special_tokens', False) - do_preprocess = kwargs.pop('do_preprocess', True) - do_sample = kwargs.pop('do_sample', False) + tp = kwargs.pop("tp", 1) + skip_special_tokens = kwargs.pop("skip_special_tokens", True) + do_preprocess = kwargs.pop("do_preprocess", True) + do_sample = kwargs.pop("do_sample", False) gen_params = kwargs - + version = version_info if do_sample is not None and version < (0, 6, 0): raise RuntimeError( - '`do_sample` parameter is not supported by lmdeploy until ' - f'v0.6.0, but currently using lmdeloy {lmdeploy.__version__}') + "`do_sample` parameter is not supported by lmdeploy until " + f"v0.6.0, but currently using lmdeloy {lmdeploy.__version__}" + ) else: do_sample = True gen_params.update(do_sample=do_sample) @@ -394,7 +416,8 @@ async def lmdeploy_model_if_cache( chat_template=chat_template, model_format=model_format, quant_policy=quant_policy, - log_level='WARNING') + log_level="WARNING", + ) messages = [] if system_prompt: @@ -410,11 +433,19 @@ async def lmdeploy_model_if_cache( return if_cache_return["return"] gen_config = GenerationConfig( - skip_special_tokens=skip_special_tokens, max_new_tokens=max_new_tokens, **gen_params) + skip_special_tokens=skip_special_tokens, + max_new_tokens=max_new_tokens, + **gen_params, + ) response = "" - async for res in lmdeploy_pipe.generate(messages, gen_config=gen_config, - do_preprocess=do_preprocess, stream_response=False, session_id=1): + async for res in lmdeploy_pipe.generate( + messages, + gen_config=gen_config, + do_preprocess=do_preprocess, + stream_response=False, + session_id=1, + ): response += res.response if hashing_kv is not None: From 43943e71689f492453391813d9082058be4d668b Mon Sep 17 00:00:00 2001 From: Ken Wiltshire Date: Sat, 26 Oct 2024 05:57:56 -0400 Subject: [PATCH 111/258] adding neo4j --- lightrag/storage.py | 218 ++++++++++++++++++++++++++++++++------------ 1 file changed, 161 insertions(+), 57 deletions(-) diff --git a/lightrag/storage.py b/lightrag/storage.py index cd313397..19c0ce92 100644 --- a/lightrag/storage.py +++ b/lightrag/storage.py @@ -425,68 +425,172 @@ async def edge_degree(self, src_id: str, tgt_id: str) -> int: # print("Degree of edge between source and target:", degree) - - #get_edge - # def get_edge(driver, node_id): - # with driver.session() as session: - # result = session.run( - # """ - # MATCH (n)-[r]-(m) - # WHERE id(n) = $node_id - # RETURN r - # """, - # node_id=node_id - # ) - # return [record["r"] for record in result] - - # driver = GraphDatabase.driver("bolt://localhost:7687", auth=("neo4j", "password")) + async def get_edge(self, source_node_id: str, target_node_id: str) -> Union[dict, None]: + entity_name__label_source = src_id + entity_name_label_target = tgt_id + """ + Find all edges between nodes of two given labels + + Args: + source_node_label (str): Label of the source nodes + target_node_label (str): Label of the target nodes + + Returns: + list: List of all relationships/edges found + """ + with self.driver.session() as session: + query = f""" + MATCH (source:{entity_name__label_source})-[r]-(target:{entity_name_label_target}) + RETURN r + """ + + result = session.run(query) + return [record["r"] for record in result] - # edges = get_node_edges(driver, 123) # Replace 123 with the actual node ID - # for edge in edges: - # print(f"Edge ID: {edge.id}, Type: {edge.type}, Start: {edge.start_node.id}, End: {edge.end_node.id}") +#upsert_node + async def upsert_node(self, node_id: str, node_data: dict[str, str]): + label = node_id + properties = node_data + """ + Upsert a node with the given label and properties within a transaction. + If a node with the same label exists, it will: + - Update existing properties with new values + - Add new properties that don't exist + If no node exists, creates a new node with all properties. + + Args: + label: The node label to search for and apply + properties: Dictionary of node properties + + Returns: + Dictionary containing the node's properties after upsert, or None if operation fails + """ + with self.driver.session() as session: + # Execute the upsert within a transaction + result = session.execute_write( + self._do_upsert, + label, + properties + ) + return result + - # driver.close() + @staticmethod + def _do_upsert(tx: Transaction, label: str, properties: Dict[str, Any]): + """ + Static method to perform the actual upsert operation within a transaction + + Args: + tx: Neo4j transaction object + label: The node label to search for and apply + properties: Dictionary of node properties + + Returns: + Dictionary containing the node's properties after upsert, or None if operation fails + """ + # Create the dynamic property string for SET clause + property_string = ", ".join([ + f"n.{key} = ${key}" + for key in properties.keys() + ]) + + # Cypher query that either matches existing node or creates new one + query = f""" + MATCH (n:{label}) + WITH n LIMIT 1 + CALL {{ + WITH n + WHERE n IS NOT NULL + SET {property_string} + RETURN n + UNION + WITH n + WHERE n IS NULL + CREATE (n:{label}) + SET {property_string} + RETURN n + }} + RETURN n + """ + + # Execute the query with properties as parameters + result = tx.run(query, properties) + record = result.single() + + if record: + return dict(record["n"]) + return None + + + async def upsert_edge(self, source_node_id: str, target_node_id: str, edge_data: dict[str, str]) -> None: + source_node_label = source_node_id + target_node_label = target_node_id + """ + Upsert an edge and its properties between two nodes identified by their labels. + + Args: + source_node_label (str): Label of the source node (used as identifier) + target_node_label (str): Label of the target node (used as identifier) + edge_properties (dict): Dictionary of properties to set on the edge + """ + with self._driver.session() as session: + session.execute_write( + self._do_upsert_edge, + source_node_label, + target_node_label, + edge_data + ) -#upsert_node - #add_node, upsert_node - # async def upsert_node(self, node_id: str, node_data: dict[str, str]): - # node_name = node_id - # with driver.session() as session: - # session.run("CREATE (p:$node_name $node_data)", node_name=node_name, node_data=**node_data) - - # with GraphDatabase.driver(URI, auth=AUTH) as driver: - # add_node(driver, entity, data) - -#async def upsert_edge(self, source_node_id: str, target_node_id: str, edge_data: dict[str, str]): - # def add_edge_with_data(tx, source_node_id, target_node_id, relationship_type, edge_data: dict[str, str]): - # source_node_name = source_node_id - # target_node_name = target_node_id - # tx.run("MATCH (s), (t) WHERE id(s) = $source_node_id AND id(t) = $target_node_id " - # "CREATE (s)-[r:$relationship_type]->(t) SET r = $data", - # source_node_id=source_node_id, target_node_id=target_node_id, - # relationship_type=relationship_type, data=edge_data) - - # with driver.session() as session: - # session.write_transaction(add_edge_with_data, 1, 2, "KNOWS", {"since": 2020, "strength": 5}) - - -#async def _node2vec_embed(self): - # # async def _node2vec_embed(self): - # with driver.session() as session: - # #Define the Cypher query - # options = self.global_config["node2vec_params"] - # query = f"""CALL gds.node2vec.stream('myGraph', {**options}) - # YIELD nodeId, embedding - # RETURN nodeId, embedding""" - # # Run the query and process the results - # results = session.run(query) - # for record in results: - # node_id = record["nodeId"] - # embedding = record["embedding"] - # print(f"Node ID: {node_id}, Embedding: {embedding}") - # #need to return two lists here. + @staticmethod + def _do_upsert_edge(tx, source_node_label: str, target_node_label: str, edge_properties: Dict[str, Any]) -> None: + """ + Static method to perform the edge upsert within a transaction. + + The query will: + 1. Match the source and target nodes by their labels + 2. Merge the DIRECTED relationship + 3. Set all properties on the relationship, updating existing ones and adding new ones + """ + # Convert edge properties to Cypher parameter string + props_string = ", ".join(f"r.{key} = ${key}" for key in edge_properties.keys()) + + query = """ + MATCH (source) + WHERE source.label = $source_node_label + MATCH (target) + WHERE target.label = $target_node_label + MERGE (source)-[r:DIRECTED]->(target) + SET {} + """.format(props_string) + + # Prepare parameters dictionary + params = { + "source_node_label": source_node_label, + "target_node_label": target_node_label, + **edge_properties + } + + # Execute the query + tx.run(query, params) + + +async def _node2vec_embed(self): + # async def _node2vec_embed(self): + with driver.session() as session: + #Define the Cypher query + options = self.global_config["node2vec_params"] + query = f"""CALL gds.node2vec.stream('myGraph', {**options}) + YIELD nodeId, embedding + RETURN nodeId, embedding""" + # Run the query and process the results + results = session.run(query) + for record in results: + node_id = record["nodeId"] + embedding = record["embedding"] + print(f"Node ID: {node_id}, Embedding: {embedding}") + #need to return two lists here. From cc45ea7310e1a4666b762b008150b43c13930070 Mon Sep 17 00:00:00 2001 From: Ken Wiltshire Date: Sat, 26 Oct 2024 19:29:45 -0400 Subject: [PATCH 112/258] use seperate module --- lightrag/kg/__init__.py | 5 + lightrag/kg/neo4j.py | 278 +++++++++++++++++++++++++++++++++++++ lightrag/storage.py | 298 +--------------------------------------- 3 files changed, 285 insertions(+), 296 deletions(-) create mode 100644 lightrag/kg/__init__.py create mode 100644 lightrag/kg/neo4j.py diff --git a/lightrag/kg/__init__.py b/lightrag/kg/__init__.py new file mode 100644 index 00000000..db81e005 --- /dev/null +++ b/lightrag/kg/__init__.py @@ -0,0 +1,5 @@ +from .lightrag import LightRAG as LightRAG, QueryParam as QueryParam + +__version__ = "0.0.7" +__author__ = "Zirui Guo" +__url__ = "https://github.com/HKUDS/LightRAG" diff --git a/lightrag/kg/neo4j.py b/lightrag/kg/neo4j.py new file mode 100644 index 00000000..5ec5b0cc --- /dev/null +++ b/lightrag/kg/neo4j.py @@ -0,0 +1,278 @@ +import asyncio +import html +import os +from dataclasses import dataclass +from typing import Any, Union, cast +import networkx as nx +import numpy as np +from nano_vectordb import NanoVectorDB + +from .utils import load_json, logger, write_json +from ..base import ( + BaseGraphStorage +) +from neo4j import GraphDatabase +# Replace with your actual URI, username, and password +URI = "neo4j://localhost:7687" +USERNAME = "neo4j" +PASSWORD = "your_password" +# Create a driver object + + +@dataclass +class GraphStorage(BaseGraphStorage): + @staticmethod + def load_nx_graph(file_name) -> nx.Graph: + if os.path.exists(file_name): + return nx.read_graphml(file_name) + return None + + def __post_init__(self): + # self._graph = preloaded_graph or nx.Graph() + self._driver = GraphDatabase.driver(URI, auth=(USERNAME, PASSWORD)) + self._node_embed_algorithms = { + "node2vec": self._node2vec_embed, + } + + async def index_done_callback(self): + print ("KG successfully indexed.") + async def has_node(self, node_id: str) -> bool: + entity_name_label = node_id + with self._driver.session() as session: + return session.read_transaction(self._check_node_exists, entity_name_label) + + @staticmethod + def _check_node_exists(tx, label): + query = f"MATCH (n:{label}) RETURN count(n) > 0 AS node_exists" + result = tx.run(query) + return result.single()["node_exists"] + + async def has_edge(self, source_node_id: str, target_node_id: str) -> bool: + entity_name_label_source = source_node_id + entity_name_label_target = target_node_id + #hard code relaitionship type + with self._driver.session() as session: + result = session.read_transaction(self._check_edge_existence, entity_name_label_source, entity_name_label_target) + return result + + @staticmethod + def _check_edge_existence(tx, label1, label2): + query = ( + f"MATCH (a:{label1})-[r]-(b:{label2}) " + "RETURN COUNT(r) > 0 AS edgeExists" + ) + result = tx.run(query) + return result.single()["edgeExists"] + def close(self): + self._driver.close() + + + + async def get_node(self, node_id: str) -> Union[dict, None]: + entity_name_label = node_id + with self._driver.session() as session: + result = session.run("MATCH (n:{entity_name_label}) RETURN n".format(entity_name_label=entity_name_label)) + for record in result: + return record["n"] + + + + async def node_degree(self, node_id: str) -> int: + entity_name_label = node_id + with self._driver.session() as session: + degree = self._find_node_degree(session, entity_name_label) + return degree + + @staticmethod + def _find_node_degree(session, label): + with session.begin_transaction() as tx: + result = tx.run("MATCH (n:`{label}`) RETURN n, size((n)--()) AS degree".format(label=label)) + record = result.single() + if record: + return record["degree"] + else: + return None + + + # degree = session.read_transaction(get_edge_degree, 1, 2) + async def edge_degree(self, src_id: str, tgt_id: str) -> int: + entity_name__label_source = src_id + entity_name_label_target = tgt_id + with self._driver.session() as session: + result = session.run( + """MATCH (n1:{node_label1})-[r]-(n2:{node_label2}) + RETURN count(r) AS degree""" + .format(node_label1=node_label1, node_label2=node_label2) + ) + record = result.single() + return record["degree"] + + async def get_edge(self, source_node_id: str, target_node_id: str) -> Union[dict, None]: + entity_name__label_source = source_node_id + entity_name_label_target = target_node_id + """ + Find all edges between nodes of two given labels + + Args: + source_node_label (str): Label of the source nodes + target_node_label (str): Label of the target nodes + + Returns: + list: List of all relationships/edges found + """ + with self._driver.session() as session: + query = f""" + MATCH (source:{entity_name__label_source})-[r]-(target:{entity_name_label_target}) + RETURN r + """ + + result = session.run(query) + return [record["r"] for record in result] + + +#upsert_node + async def upsert_node(self, node_id: str, node_data: dict[str, str]): + label = node_id + properties = node_data + """ + Upsert a node with the given label and properties within a transaction. + If a node with the same label exists, it will: + - Update existing properties with new values + - Add new properties that don't exist + If no node exists, creates a new node with all properties. + + Args: + label: The node label to search for and apply + properties: Dictionary of node properties + + Returns: + Dictionary containing the node's properties after upsert, or None if operation fails + """ + with self._driver.session() as session: + # Execute the upsert within a transaction + result = session.execute_write( + self._do_upsert, + label, + properties + ) + return result + + + @staticmethod + def _do_upsert(tx: Transaction, label: str, properties: Dict[str, Any]): + """ + Static method to perform the actual upsert operation within a transaction + + Args: + tx: Neo4j transaction object + label: The node label to search for and apply + properties: Dictionary of node properties + + Returns: + Dictionary containing the node's properties after upsert, or None if operation fails + """ + # Create the dynamic property string for SET clause + property_string = ", ".join([ + f"n.{key} = ${key}" + for key in properties.keys() + ]) + + # Cypher query that either matches existing node or creates new one + query = f""" + MATCH (n:{label}) + WITH n LIMIT 1 + CALL {{ + WITH n + WHERE n IS NOT NULL + SET {property_string} + RETURN n + UNION + WITH n + WHERE n IS NULL + CREATE (n:{label}) + SET {property_string} + RETURN n + }} + RETURN n + """ + + # Execute the query with properties as parameters + result = tx.run(query, properties) + record = result.single() + + if record: + return dict(record["n"]) + return None + + + + async def upsert_edge(self, source_node_id: str, target_node_id: str, edge_data: dict[str, str]) -> None: + source_node_label = source_node_id + target_node_label = target_node_id + """ + Upsert an edge and its properties between two nodes identified by their labels. + + Args: + source_node_label (str): Label of the source node (used as identifier) + target_node_label (str): Label of the target node (used as identifier) + edge_properties (dict): Dictionary of properties to set on the edge + """ + with self._driver.session() as session: + session.execute_write( + self._do_upsert_edge, + source_node_label, + target_node_label, + edge_data + ) + + @staticmethod + def _do_upsert_edge(tx, source_node_label: str, target_node_label: str, edge_properties: Dict[str, Any]) -> None: + """ + Static method to perform the edge upsert within a transaction. + + The query will: + 1. Match the source and target nodes by their labels + 2. Merge the DIRECTED relationship + 3. Set all properties on the relationship, updating existing ones and adding new ones + """ + # Convert edge properties to Cypher parameter string + props_string = ", ".join(f"r.{key} = ${key}" for key in edge_properties.keys()) + + query = """ + MATCH (source) + WHERE source.label = $source_node_label + MATCH (target) + WHERE target.label = $target_node_label + MERGE (source)-[r:DIRECTED]->(target) + SET {} + """.format(props_string) + + # Prepare parameters dictionary + params = { + "source_node_label": source_node_label, + "target_node_label": target_node_label, + **edge_properties + } + + # Execute the query + tx.run(query, params) + + + async def _node2vec_embed(self): + # async def _node2vec_embed(self): + with self._driver.session() as session: + #Define the Cypher query + options = self.global_config["node2vec_params"] + query = f"""CALL gds.node2vec.stream('myGraph', {**options}) + YIELD nodeId, embedding + RETURN nodeId, embedding""" + # Run the query and process the results + results = session.run(query) + for record in results: + node_id = record["nodeId"] + embedding = record["embedding"] + print(f"Node ID: {node_id}, Embedding: {embedding}") + #need to return two lists here. + + + diff --git a/lightrag/storage.py b/lightrag/storage.py index 19c0ce92..85ba2aaa 100644 --- a/lightrag/storage.py +++ b/lightrag/storage.py @@ -6,6 +6,8 @@ import networkx as nx import numpy as np from nano_vectordb import NanoVectorDB +from kg.neo4j import GraphStorage + from .utils import load_json, logger, write_json from .base import ( @@ -298,299 +300,3 @@ async def _node2vec_embed(self): return embeddings, nodes_ids -@dataclass -class Neo4JStorage(BaseGraphStorage): - @staticmethod - def load_nx_graph(file_name) -> nx.Graph: - if os.path.exists(file_name): - return nx.read_graphml(file_name) - return None - - # @staticmethod - # def write_nx_graph(graph: nx.Graph, file_name): - # logger.info( - # f"Writing graph with {graph.number_of_nodes()} nodes, {graph.number_of_edges()} edges" - # ) - # nx.write_graphml(graph, file_name) - - - def __post_init__(self): - self._graphml_xml_file = os.path.join( - self.global_config["working_dir"], f"graph_{self.namespace}.graphml" - ) - preloaded_graph = NetworkXStorage.load_nx_graph(self._graphml_xml_file) - if preloaded_graph is not None: - logger.info( - f"Loaded graph from {self._graphml_xml_file} with {preloaded_graph.number_of_nodes()} nodes, {preloaded_graph.number_of_edges()} edges" - ) - self._graph = preloaded_graph or nx.Graph() - self._node_embed_algorithms = { - "node2vec": self._node2vec_embed, - } - - async def index_done_callback(self): - print ("KG successfully indexed.") - # Neo4JStorage.write_nx_graph(self._graph, self._graphml_xml_file) - async def has_node(self, node_id: str) -> bool: - entity_name_label = node_id - with self.driver.session() as session: - return session.read_transaction(self._check_node_exists, entity_name_label) - - @staticmethod - def _check_node_exists(tx, label): - query = f"MATCH (n:{label}) RETURN count(n) > 0 AS node_exists" - result = tx.run(query) - return result.single()["node_exists"] - - async def has_edge(self, source_node_id: str, target_node_id: str) -> bool: - entity_name_label_source = source_node_id - entity_name_label_target = target_node_id - #hard code relaitionship type - with self.driver.session() as session: - result = session.read_transaction(self._check_edge_existence, entity_name_label_source, entity_name_label_target) - return result - - @staticmethod - def _check_edge_existence(tx, label1, label2): - query = ( - f"MATCH (a:{label1})-[r]-(b:{label2}) " - "RETURN COUNT(r) > 0 AS edgeExists" - ) - result = tx.run(query) - return result.single()["edgeExists"] - def close(self): - self.driver.close() - - - - async def get_node(self, node_id: str) -> Union[dict, None]: - entity_name_label = node_id - with driver.session() as session: - result = session.run( - "MATCH (n) WHERE n.name = $name RETURN n", - name=node_name - ) - - for record in result: - return record["n"] # Return the first matching node - - - - async def node_degree(self, node_id: str) -> int: - entity_name_label = node_id - neo4j = Neo4j("bolt://localhost:7687", "neo4j", "password") - with neo4j.driver.session() as session: - degree = Neo4j.find_node_degree(session, entity_name_label) - return degree - - @staticmethod - def find_node_degree(session, label): - with session.begin_transaction() as tx: - result = tx.run("MATCH (n:`{label}`) RETURN n, size((n)--()) AS degree".format(label=label)) - record = result.single() - if record: - return record["degree"] - else: - return None - - # edge_degree - # from neo4j import GraphDatabase - async def edge_degree(self, src_id: str, tgt_id: str) -> int: - entity_name__label_source = src_id - entity_name_label_target = tgt_id - with graph_db.session() as session: - result = session.run( - """MATCH (n1:{node_label1})-[r]-(n2:{node_label2}) - RETURN count(r) AS degree""" - .format(node_label1=node_label1, node_label2=node_label2) - ) - record = result.single() - return record["degree"] - # driver = GraphDatabase.driver("bolt://localhost:7687", auth=("neo4j", "password")) - - # - # - # def edge_degree(tx, source_id, target_id): - # result = tx.run(""" - # MATCH (source) WHERE ID(source) = $source_id - # MATCH (target) WHERE ID(target) = $target_id - # MATCH (source)-[r]-(target) - # RETURN COUNT(r) AS degree - # """, source_id=source_id, target_id=target_id) - - # return result.single()["degree"] - - # with driver.session() as session: - # degree = session.read_transaction(get_edge_degree, 1, 2) - # print("Degree of edge between source and target:", degree) - - - async def get_edge(self, source_node_id: str, target_node_id: str) -> Union[dict, None]: - entity_name__label_source = src_id - entity_name_label_target = tgt_id - """ - Find all edges between nodes of two given labels - - Args: - source_node_label (str): Label of the source nodes - target_node_label (str): Label of the target nodes - - Returns: - list: List of all relationships/edges found - """ - with self.driver.session() as session: - query = f""" - MATCH (source:{entity_name__label_source})-[r]-(target:{entity_name_label_target}) - RETURN r - """ - - result = session.run(query) - return [record["r"] for record in result] - - -#upsert_node - async def upsert_node(self, node_id: str, node_data: dict[str, str]): - label = node_id - properties = node_data - """ - Upsert a node with the given label and properties within a transaction. - If a node with the same label exists, it will: - - Update existing properties with new values - - Add new properties that don't exist - If no node exists, creates a new node with all properties. - - Args: - label: The node label to search for and apply - properties: Dictionary of node properties - - Returns: - Dictionary containing the node's properties after upsert, or None if operation fails - """ - with self.driver.session() as session: - # Execute the upsert within a transaction - result = session.execute_write( - self._do_upsert, - label, - properties - ) - return result - - - @staticmethod - def _do_upsert(tx: Transaction, label: str, properties: Dict[str, Any]): - """ - Static method to perform the actual upsert operation within a transaction - - Args: - tx: Neo4j transaction object - label: The node label to search for and apply - properties: Dictionary of node properties - - Returns: - Dictionary containing the node's properties after upsert, or None if operation fails - """ - # Create the dynamic property string for SET clause - property_string = ", ".join([ - f"n.{key} = ${key}" - for key in properties.keys() - ]) - - # Cypher query that either matches existing node or creates new one - query = f""" - MATCH (n:{label}) - WITH n LIMIT 1 - CALL {{ - WITH n - WHERE n IS NOT NULL - SET {property_string} - RETURN n - UNION - WITH n - WHERE n IS NULL - CREATE (n:{label}) - SET {property_string} - RETURN n - }} - RETURN n - """ - - # Execute the query with properties as parameters - result = tx.run(query, properties) - record = result.single() - - if record: - return dict(record["n"]) - return None - - - - async def upsert_edge(self, source_node_id: str, target_node_id: str, edge_data: dict[str, str]) -> None: - source_node_label = source_node_id - target_node_label = target_node_id - """ - Upsert an edge and its properties between two nodes identified by their labels. - - Args: - source_node_label (str): Label of the source node (used as identifier) - target_node_label (str): Label of the target node (used as identifier) - edge_properties (dict): Dictionary of properties to set on the edge - """ - with self._driver.session() as session: - session.execute_write( - self._do_upsert_edge, - source_node_label, - target_node_label, - edge_data - ) - - @staticmethod - def _do_upsert_edge(tx, source_node_label: str, target_node_label: str, edge_properties: Dict[str, Any]) -> None: - """ - Static method to perform the edge upsert within a transaction. - - The query will: - 1. Match the source and target nodes by their labels - 2. Merge the DIRECTED relationship - 3. Set all properties on the relationship, updating existing ones and adding new ones - """ - # Convert edge properties to Cypher parameter string - props_string = ", ".join(f"r.{key} = ${key}" for key in edge_properties.keys()) - - query = """ - MATCH (source) - WHERE source.label = $source_node_label - MATCH (target) - WHERE target.label = $target_node_label - MERGE (source)-[r:DIRECTED]->(target) - SET {} - """.format(props_string) - - # Prepare parameters dictionary - params = { - "source_node_label": source_node_label, - "target_node_label": target_node_label, - **edge_properties - } - - # Execute the query - tx.run(query, params) - - -async def _node2vec_embed(self): - # async def _node2vec_embed(self): - with driver.session() as session: - #Define the Cypher query - options = self.global_config["node2vec_params"] - query = f"""CALL gds.node2vec.stream('myGraph', {**options}) - YIELD nodeId, embedding - RETURN nodeId, embedding""" - # Run the query and process the results - results = session.run(query) - for record in results: - node_id = record["nodeId"] - embedding = record["embedding"] - print(f"Node ID: {node_id}, Embedding: {embedding}") - #need to return two lists here. - - - From 01b7df7afad47c6aa3db9a97bdeea9e1784b0c45 Mon Sep 17 00:00:00 2001 From: Ken Wiltshire Date: Sun, 27 Oct 2024 15:37:41 -0400 Subject: [PATCH 113/258] inference running locally. use neo4j next --- .gitignore | 3 +- lightrag/kg/__init__.py | 30 +++++++++++++++++--- lightrag/kg/neo4j.py | 20 +++++++------ lightrag/lightrag.py | 15 +++++++++- lightrag/llm.py | 4 ++- lightrag/storage.py | 63 ++--------------------------------------- requirements.txt | 3 +- test.py | 36 +++++++++++++++++++++++ 8 files changed, 98 insertions(+), 76 deletions(-) create mode 100644 test.py diff --git a/.gitignore b/.gitignore index 5a41ae32..5eabc386 100644 --- a/.gitignore +++ b/.gitignore @@ -4,4 +4,5 @@ dickens/ book.txt lightrag-dev/ .idea/ -dist/ \ No newline at end of file +dist/ +env/ \ No newline at end of file diff --git a/lightrag/kg/__init__.py b/lightrag/kg/__init__.py index db81e005..ddd2bb79 100644 --- a/lightrag/kg/__init__.py +++ b/lightrag/kg/__init__.py @@ -1,5 +1,27 @@ -from .lightrag import LightRAG as LightRAG, QueryParam as QueryParam +print ("init package vars here. ......") +from .neo4j import GraphStorage as Neo4JStorage + + +# import sys +# import importlib +# # Specify the path to the directory containing the module +# # Add the directory to the system path +# module_dir = '/Users/kenwiltshire/documents/dev/LightRag/lightrag/kg' +# sys.path.append(module_dir) +# # Specify the module name +# module_name = 'neo4j' +# # Import the module +# spec = importlib.util.spec_from_file_location(module_name, f'{module_dir}/{module_name}.py') + +# Neo4JStorage = importlib.util.module_from_spec(spec) +# spec.loader.exec_module(Neo4JStorage) + + + +# Relative imports are still possible by adding a leading period to the module name when using the from ... import form: + +# # Import names from pkg.string +# from .string import name1, name2 +# # Import pkg.string +# from . import string -__version__ = "0.0.7" -__author__ = "Zirui Guo" -__url__ = "https://github.com/HKUDS/LightRAG" diff --git a/lightrag/kg/neo4j.py b/lightrag/kg/neo4j.py index 5ec5b0cc..7205d9dc 100644 --- a/lightrag/kg/neo4j.py +++ b/lightrag/kg/neo4j.py @@ -3,11 +3,15 @@ import os from dataclasses import dataclass from typing import Any, Union, cast -import networkx as nx import numpy as np from nano_vectordb import NanoVectorDB -from .utils import load_json, logger, write_json + + +# import package.common.utils as utils + + +from lightrag.utils import load_json, logger, write_json from ..base import ( BaseGraphStorage ) @@ -22,10 +26,10 @@ @dataclass class GraphStorage(BaseGraphStorage): @staticmethod - def load_nx_graph(file_name) -> nx.Graph: - if os.path.exists(file_name): - return nx.read_graphml(file_name) - return None + # def load_nx_graph(file_name) -> nx.Graph: + # if os.path.exists(file_name): + # return nx.read_graphml(file_name) + # return None def __post_init__(self): # self._graph = preloaded_graph or nx.Graph() @@ -102,7 +106,7 @@ async def edge_degree(self, src_id: str, tgt_id: str) -> int: result = session.run( """MATCH (n1:{node_label1})-[r]-(n2:{node_label2}) RETURN count(r) AS degree""" - .format(node_label1=node_label1, node_label2=node_label2) + .format(entity_name__label_source=entity_name__label_source, entity_name_label_target=entity_name_label_target) ) record = result.single() return record["degree"] @@ -263,7 +267,7 @@ async def _node2vec_embed(self): with self._driver.session() as session: #Define the Cypher query options = self.global_config["node2vec_params"] - query = f"""CALL gds.node2vec.stream('myGraph', {**options}) + query = f"""CALL gds.node2vec.stream('myGraph', {options}) # **options YIELD nodeId, embedding RETURN nodeId, embedding""" # Run the query and process the results diff --git a/lightrag/lightrag.py b/lightrag/lightrag.py index 5137af42..28a4af19 100644 --- a/lightrag/lightrag.py +++ b/lightrag/lightrag.py @@ -1,5 +1,6 @@ import asyncio import os +import importlib from dataclasses import asdict, dataclass, field from datetime import datetime from functools import partial @@ -23,6 +24,11 @@ NanoVectorDBStorage, NetworkXStorage, ) + +from .kg.neo4j import ( + GraphStorage as Neo4JStorage +) + from .utils import ( EmbeddingFunc, compute_mdhash_id, @@ -93,7 +99,14 @@ class LightRAG: key_string_value_json_storage_cls: Type[BaseKVStorage] = JsonKVStorage vector_db_storage_cls: Type[BaseVectorStorage] = NanoVectorDBStorage vector_db_storage_cls_kwargs: dict = field(default_factory=dict) - graph_storage_cls: Type[BaseGraphStorage] = NetworkXStorage + + # module = importlib.import_module('kg.neo4j') + # Neo4JStorage = getattr(module, 'GraphStorage') + + if True==False: + graph_storage_cls: Type[BaseGraphStorage] = Neo4JStorage + else: + graph_storage_cls: Type[BaseGraphStorage] = NetworkXStorage enable_llm_cache: bool = True # extension diff --git a/lightrag/llm.py b/lightrag/llm.py index 4dcf535c..208b22a5 100644 --- a/lightrag/llm.py +++ b/lightrag/llm.py @@ -72,7 +72,9 @@ async def openai_complete_if_cache( @retry( stop=stop_after_attempt(3), - wait=wait_exponential(multiplier=1, min=4, max=10), + #kw_ + wait=wait_exponential(multiplier=1, min=4, max=60), + # wait=wait_exponential(multiplier=1, min=4, max=10), retry=retry_if_exception_type((RateLimitError, APIConnectionError, Timeout)), ) async def azure_openai_complete_if_cache(model, diff --git a/lightrag/storage.py b/lightrag/storage.py index 85ba2aaa..1f22fc56 100644 --- a/lightrag/storage.py +++ b/lightrag/storage.py @@ -6,8 +6,6 @@ import networkx as nx import numpy as np from nano_vectordb import NanoVectorDB -from kg.neo4j import GraphStorage - from .utils import load_json, logger, write_json from .base import ( @@ -99,66 +97,14 @@ async def upsert(self, data: dict[str, dict]): d["__vector__"] = embeddings[i] results = self._client.upsert(datas=list_data) return results - - -@dataclass -class PineConeVectorDBStorage(BaseVectorStorage): - cosine_better_than_threshold: float = 0.2 - - def __post_init__(self): - self._client_file_name = os.path.join( - self.global_config["working_dir"], f"vdb_{self.namespace}.json" - ) - self._max_batch_size = self.global_config["embedding_batch_num"] - self._client = NanoVectorDB( - self.embedding_func.embedding_dim, storage_file=self._client_file_name - ) - import os - from pinecone import Pinecone - - pc = Pinecone() #api_key=os.environ.get('PINECONE_API_KEY')) - # From here on, everything is identical to the REST-based SDK. - self._client = pc.Index(host=self._client_pinecone_host)#'my-index-8833ca1.svc.us-east1-gcp.pinecone.io') - - self.cosine_better_than_threshold = self.global_config.get( - "cosine_better_than_threshold", self.cosine_better_than_threshold - ) - - async def upsert(self, data: dict[str, dict]): - logger.info(f"Inserting {len(data)} vectors to {self.namespace}") - if not len(data): - logger.warning("You insert an empty data to vector DB") - return [] - list_data = [ - { - "__id__": k, - **{k1: v1 for k1, v1 in v.items() if k1 in self.meta_fields}, - } - for k, v in data.items() - ] - contents = [v["content"] for v in data.values()] - batches = [ - contents[i : i + self._max_batch_size] - for i in range(0, len(contents), self._max_batch_size) - ] - embeddings_list = await asyncio.gather( - *[self.embedding_func(batch) for batch in batches] - ) - embeddings = np.concatenate(embeddings_list) - for i, d in enumerate(list_data): - d["__vector__"] = embeddings[i] - # self._client.upsert(vectors=[]) pinecone - results = self._client.upsert(datas=list_data) - return results async def query(self, query: str, top_k=5): embedding = await self.embedding_func([query]) embedding = embedding[0] - # self._client.query(vector=[...], top_key=10) pinecone results = self._client.query( - vector=embedding, + query=embedding, top_k=top_k, - better_than_threshold=self.cosine_better_than_threshold, ??? + better_than_threshold=self.cosine_better_than_threshold, ) results = [ {**dp, "id": dp["__id__"], "distance": dp["__metrics__"]} for dp in results @@ -166,8 +112,7 @@ async def query(self, query: str, top_k=5): return results async def index_done_callback(self): - print("self._client.save()") - # self._client.save() + self._client.save() @dataclass @@ -298,5 +243,3 @@ async def _node2vec_embed(self): nodes_ids = [self._graph.nodes[node_id]["id"] for node_id in nodes] return embeddings, nodes_ids - - diff --git a/requirements.txt b/requirements.txt index 5b3396fb..897c53f8 100644 --- a/requirements.txt +++ b/requirements.txt @@ -12,4 +12,5 @@ torch transformers xxhash pyvis -aiohttp \ No newline at end of file +aiohttp +neo4j diff --git a/test.py b/test.py new file mode 100644 index 00000000..4167222b --- /dev/null +++ b/test.py @@ -0,0 +1,36 @@ +import os +from lightrag import LightRAG, QueryParam +from lightrag.llm import gpt_4o_mini_complete, gpt_4o_complete + +######### +# Uncomment the below two lines if running in a jupyter notebook to handle the async nature of rag.insert() +# import nest_asyncio +# nest_asyncio.apply() +######### + +WORKING_DIR = "./dickens" + + +if not os.path.exists(WORKING_DIR): + os.mkdir(WORKING_DIR) + +rag = LightRAG( + working_dir=WORKING_DIR, + llm_model_func=gpt_4o_mini_complete # Use gpt_4o_mini_complete LLM model + # llm_model_func=gpt_4o_complete # Optionally, use a stronger model +) + +with open("./book.txt") as f: + rag.insert(f.read()) + +# Perform naive search +print(rag.query("What are the top themes in this story?", param=QueryParam(mode="naive"))) + +# Perform local search +print(rag.query("What are the top themes in this story?", param=QueryParam(mode="local"))) + +# Perform global search +print(rag.query("What are the top themes in this story?", param=QueryParam(mode="global"))) + +# Perform hybrid search +print(rag.query("What are the top themes in this story?", param=QueryParam(mode="hybrid"))) \ No newline at end of file From 6d84569703213a006570dd68346d4399967e18f0 Mon Sep 17 00:00:00 2001 From: zrguo <49157727+LarFii@users.noreply.github.com> Date: Mon, 28 Oct 2024 09:59:40 +0800 Subject: [PATCH 114/258] Update README.md --- README.md | 2 +- 1 file changed, 1 insertion(+), 1 deletion(-) diff --git a/README.md b/README.md index d11b1691..bfdf920f 100644 --- a/README.md +++ b/README.md @@ -8,7 +8,7 @@ - +

From fee8575750cfdc7b03765048949536218a863531 Mon Sep 17 00:00:00 2001 From: zrguo <49157727+LarFii@users.noreply.github.com> Date: Mon, 28 Oct 2024 15:08:41 +0800 Subject: [PATCH 115/258] Update README.md --- README.md | 10 +++++++++- 1 file changed, 9 insertions(+), 1 deletion(-) diff --git a/README.md b/README.md index bfdf920f..15696b57 100644 --- a/README.md +++ b/README.md @@ -237,7 +237,15 @@ rag.insert(["TEXT1", "TEXT2",...]) ```python # Incremental Insert: Insert new documents into an existing LightRAG instance -rag = LightRAG(working_dir="./dickens") +rag = LightRAG( + working_dir=WORKING_DIR, + llm_model_func=llm_model_func, + embedding_func=EmbeddingFunc( + embedding_dim=embedding_dimension, + max_token_size=8192, + func=embedding_func, + ), +) with open("./newText.txt") as f: rag.insert(f.read()) From 84b60e4aa687bc313115015c0376e94535ddf592 Mon Sep 17 00:00:00 2001 From: Andrii Lazarchuk Date: Mon, 28 Oct 2024 17:05:38 +0200 Subject: [PATCH 116/258] Fix lint issue --- examples/lightrag_ollama_demo.py | 5 ++--- lightrag/lightrag.py | 6 +++++- 2 files changed, 7 insertions(+), 4 deletions(-) diff --git a/examples/lightrag_ollama_demo.py b/examples/lightrag_ollama_demo.py index 0a704024..1a320d13 100644 --- a/examples/lightrag_ollama_demo.py +++ b/examples/lightrag_ollama_demo.py @@ -1,14 +1,13 @@ import os import logging - -logging.basicConfig(format="%(levelname)s:%(message)s", level=logging.INFO) - from lightrag import LightRAG, QueryParam from lightrag.llm import ollama_model_complete, ollama_embedding from lightrag.utils import EmbeddingFunc WORKING_DIR = "./dickens" +logging.basicConfig(format="%(levelname)s:%(message)s", level=logging.INFO) + if not os.path.exists(WORKING_DIR): os.mkdir(WORKING_DIR) diff --git a/lightrag/lightrag.py b/lightrag/lightrag.py index 955651fb..89ee1df5 100644 --- a/lightrag/lightrag.py +++ b/lightrag/lightrag.py @@ -155,7 +155,11 @@ def __post_init__(self): ) self.llm_model_func = limit_async_func_call(self.llm_model_max_async)( - partial(self.llm_model_func, hashing_kv=self.llm_response_cache, **self.llm_model_kwargs) + partial( + self.llm_model_func, + hashing_kv=self.llm_response_cache, + **self.llm_model_kwargs, + ) ) def insert(self, string_or_strings): From 6b80237805e6a5986387c2e674bf609214577079 Mon Sep 17 00:00:00 2001 From: Andrii Lazarchuk Date: Mon, 28 Oct 2024 19:05:59 +0200 Subject: [PATCH 117/258] Update README with more details --- README.md | 46 ++++++++++++++++++++++++++++++++++++++++------ 1 file changed, 40 insertions(+), 6 deletions(-) diff --git a/README.md b/README.md index 15696b57..683dd0b2 100644 --- a/README.md +++ b/README.md @@ -163,7 +163,10 @@ rag = LightRAG(

Using Ollama Models -* If you want to use Ollama models, you only need to set LightRAG as follows: +### Overview +If you want to use Ollama models, you need to pull model you plan to use and embedding model, for example `nomic-embed-text`. + +Then you only need to set LightRAG as follows: ```python from lightrag.llm import ollama_model_complete, ollama_embedding @@ -185,28 +188,59 @@ rag = LightRAG( ) ``` -* Increasing the `num_ctx` parameter: +### Increasing context size +In order for LightRAG to work context should be at least 32k tokens. By default Ollama models have context size of 8k. You can achieve this using one of two ways: + +#### Increasing the `num_ctx` parameter in Modelfile. 1. Pull the model: -```python +```bash ollama pull qwen2 ``` 2. Display the model file: -```python +```bash ollama show --modelfile qwen2 > Modelfile ``` 3. Edit the Modelfile by adding the following line: -```python +```bash PARAMETER num_ctx 32768 ``` 4. Create the modified model: -```python +```bash ollama create -f Modelfile qwen2m ``` +#### Setup `num_ctx` via Ollama API. +Tiy can use `llm_model_kwargs` param to configure ollama: + +```python +rag = LightRAG( + working_dir=WORKING_DIR, + llm_model_func=ollama_model_complete, # Use Ollama model for text generation + llm_model_name='your_model_name', # Your model name + llm_model_kwargs={"options": {"num_ctx": 32768}}, + # Use Ollama embedding function + embedding_func=EmbeddingFunc( + embedding_dim=768, + max_token_size=8192, + func=lambda texts: ollama_embedding( + texts, + embed_model="nomic-embed-text" + ) + ), +) +``` +#### Fully functional example + +There fully functional example `examples/lightrag_ollama_demo.py` that utilizes `gemma2:2b` model, runs only 4 requests in parallel and set context size to 32k. + +#### Low RAM GPUs + +In order to run this experiment on low RAM GPU you should select small model and tune context window (increasing context increase memory consumption). For example, running this ollama example on repurposed mining GPU with 6Gb of RAM required to set context size to 26k while using `gemma2:2b`. It was able to find 197 entities and 19 relations on `book.txt`. +
### Query Param From cc83045f464cee691dd2adbf46df453360c7f857 Mon Sep 17 00:00:00 2001 From: MrGidea <98243922+MrGidea@users.noreply.github.com> Date: Tue, 29 Oct 2024 15:44:41 +0800 Subject: [PATCH 118/258] Update README.md --- README.md | 866 +----------------------------------------------------- 1 file changed, 11 insertions(+), 855 deletions(-) diff --git a/README.md b/README.md index 683dd0b2..c7dbf6b6 100644 --- a/README.md +++ b/README.md @@ -1,861 +1,17 @@ -

🚀 LightRAG: Simple and Fast Retrieval-Augmented Generation

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- -This repository hosts the code of LightRAG. The structure of this code is based on [nano-graphrag](https://github.com/gusye1234/nano-graphrag). -![请添加图片描述](https://i-blog.csdnimg.cn/direct/b2aaf634151b4706892693ffb43d9093.png) -
- -## 🎉 News -- [x] [2024.10.20]🎯🎯📢📢We’ve added a new feature to LightRAG: Graph Visualization. -- [x] [2024.10.18]🎯🎯📢📢We’ve added a link to a [LightRAG Introduction Video](https://youtu.be/oageL-1I0GE). Thanks to the author! -- [x] [2024.10.17]🎯🎯📢📢We have created a [Discord channel](https://discord.gg/mvsfu2Tg)! Welcome to join for sharing and discussions! 🎉🎉 -- [x] [2024.10.16]🎯🎯📢📢LightRAG now supports [Ollama models](https://github.com/HKUDS/LightRAG?tab=readme-ov-file#quick-start)! -- [x] [2024.10.15]🎯🎯📢📢LightRAG now supports [Hugging Face models](https://github.com/HKUDS/LightRAG?tab=readme-ov-file#quick-start)! - -## Algorithm Flowchart - -![LightRAG_Self excalidraw](https://github.com/user-attachments/assets/aa5c4892-2e44-49e6-a116-2403ed80a1a3) - - -## Install - -* Install from source (Recommend) - -```bash -cd LightRAG -pip install -e . -``` -* Install from PyPI -```bash -pip install lightrag-hku -``` - -## Quick Start -* [Video demo](https://www.youtube.com/watch?v=g21royNJ4fw) of running LightRAG locally. -* All the code can be found in the `examples`. -* Set OpenAI API key in environment if using OpenAI models: `export OPENAI_API_KEY="sk-...".` -* Download the demo text "A Christmas Carol by Charles Dickens": -```bash -curl https://raw.githubusercontent.com/gusye1234/nano-graphrag/main/tests/mock_data.txt > ./book.txt -``` -Use the below Python snippet (in a script) to initialize LightRAG and perform queries: - -```python -import os -from lightrag import LightRAG, QueryParam -from lightrag.llm import gpt_4o_mini_complete, gpt_4o_complete - -######### -# Uncomment the below two lines if running in a jupyter notebook to handle the async nature of rag.insert() -# import nest_asyncio -# nest_asyncio.apply() -######### - -WORKING_DIR = "./dickens" - - -if not os.path.exists(WORKING_DIR): - os.mkdir(WORKING_DIR) - -rag = LightRAG( - working_dir=WORKING_DIR, - llm_model_func=gpt_4o_mini_complete # Use gpt_4o_mini_complete LLM model - # llm_model_func=gpt_4o_complete # Optionally, use a stronger model -) - -with open("./book.txt") as f: - rag.insert(f.read()) - -# Perform naive search -print(rag.query("What are the top themes in this story?", param=QueryParam(mode="naive"))) - -# Perform local search -print(rag.query("What are the top themes in this story?", param=QueryParam(mode="local"))) - -# Perform global search -print(rag.query("What are the top themes in this story?", param=QueryParam(mode="global"))) - -# Perform hybrid search -print(rag.query("What are the top themes in this story?", param=QueryParam(mode="hybrid"))) -``` - -
- Using Open AI-like APIs - -* LightRAG also supports Open AI-like chat/embeddings APIs: -```python -async def llm_model_func( - prompt, system_prompt=None, history_messages=[], **kwargs -) -> str: - return await openai_complete_if_cache( - "solar-mini", - prompt, - system_prompt=system_prompt, - history_messages=history_messages, - api_key=os.getenv("UPSTAGE_API_KEY"), - base_url="https://api.upstage.ai/v1/solar", - **kwargs - ) - -async def embedding_func(texts: list[str]) -> np.ndarray: - return await openai_embedding( - texts, - model="solar-embedding-1-large-query", - api_key=os.getenv("UPSTAGE_API_KEY"), - base_url="https://api.upstage.ai/v1/solar" - ) - -rag = LightRAG( - working_dir=WORKING_DIR, - llm_model_func=llm_model_func, - embedding_func=EmbeddingFunc( - embedding_dim=4096, - max_token_size=8192, - func=embedding_func - ) -) -``` -
- -
- Using Hugging Face Models - -* If you want to use Hugging Face models, you only need to set LightRAG as follows: -```python -from lightrag.llm import hf_model_complete, hf_embedding -from transformers import AutoModel, AutoTokenizer - -# Initialize LightRAG with Hugging Face model -rag = LightRAG( - working_dir=WORKING_DIR, - llm_model_func=hf_model_complete, # Use Hugging Face model for text generation - llm_model_name='meta-llama/Llama-3.1-8B-Instruct', # Model name from Hugging Face - # Use Hugging Face embedding function - embedding_func=EmbeddingFunc( - embedding_dim=384, - max_token_size=5000, - func=lambda texts: hf_embedding( - texts, - tokenizer=AutoTokenizer.from_pretrained("sentence-transformers/all-MiniLM-L6-v2"), - embed_model=AutoModel.from_pretrained("sentence-transformers/all-MiniLM-L6-v2") - ) - ), -) -``` -
- -
- Using Ollama Models - -### Overview -If you want to use Ollama models, you need to pull model you plan to use and embedding model, for example `nomic-embed-text`. - -Then you only need to set LightRAG as follows: - -```python -from lightrag.llm import ollama_model_complete, ollama_embedding - -# Initialize LightRAG with Ollama model -rag = LightRAG( - working_dir=WORKING_DIR, - llm_model_func=ollama_model_complete, # Use Ollama model for text generation - llm_model_name='your_model_name', # Your model name - # Use Ollama embedding function - embedding_func=EmbeddingFunc( - embedding_dim=768, - max_token_size=8192, - func=lambda texts: ollama_embedding( - texts, - embed_model="nomic-embed-text" - ) - ), -) -``` - -### Increasing context size -In order for LightRAG to work context should be at least 32k tokens. By default Ollama models have context size of 8k. You can achieve this using one of two ways: - -#### Increasing the `num_ctx` parameter in Modelfile. - -1. Pull the model: -```bash -ollama pull qwen2 -``` - -2. Display the model file: -```bash -ollama show --modelfile qwen2 > Modelfile -``` - -3. Edit the Modelfile by adding the following line: +## Quick start +* install textract ```bash -PARAMETER num_ctx 32768 +pip install textract ``` - -4. Create the modified model: +*example ```bash -ollama create -f Modelfile qwen2m -``` - -#### Setup `num_ctx` via Ollama API. -Tiy can use `llm_model_kwargs` param to configure ollama: - -```python -rag = LightRAG( - working_dir=WORKING_DIR, - llm_model_func=ollama_model_complete, # Use Ollama model for text generation - llm_model_name='your_model_name', # Your model name - llm_model_kwargs={"options": {"num_ctx": 32768}}, - # Use Ollama embedding function - embedding_func=EmbeddingFunc( - embedding_dim=768, - max_token_size=8192, - func=lambda texts: ollama_embedding( - texts, - embed_model="nomic-embed-text" - ) - ), -) -``` -#### Fully functional example - -There fully functional example `examples/lightrag_ollama_demo.py` that utilizes `gemma2:2b` model, runs only 4 requests in parallel and set context size to 32k. - -#### Low RAM GPUs - -In order to run this experiment on low RAM GPU you should select small model and tune context window (increasing context increase memory consumption). For example, running this ollama example on repurposed mining GPU with 6Gb of RAM required to set context size to 26k while using `gemma2:2b`. It was able to find 197 entities and 19 relations on `book.txt`. - -
- -### Query Param - -```python -class QueryParam: - mode: Literal["local", "global", "hybrid", "naive"] = "global" - only_need_context: bool = False - response_type: str = "Multiple Paragraphs" - # Number of top-k items to retrieve; corresponds to entities in "local" mode and relationships in "global" mode. - top_k: int = 60 - # Number of tokens for the original chunks. - max_token_for_text_unit: int = 4000 - # Number of tokens for the relationship descriptions - max_token_for_global_context: int = 4000 - # Number of tokens for the entity descriptions - max_token_for_local_context: int = 4000 -``` - -### Batch Insert - -```python -# Batch Insert: Insert multiple texts at once -rag.insert(["TEXT1", "TEXT2",...]) -``` - -### Incremental Insert - -```python -# Incremental Insert: Insert new documents into an existing LightRAG instance -rag = LightRAG( - working_dir=WORKING_DIR, - llm_model_func=llm_model_func, - embedding_func=EmbeddingFunc( - embedding_dim=embedding_dimension, - max_token_size=8192, - func=embedding_func, - ), -) - -with open("./newText.txt") as f: - rag.insert(f.read()) -``` - -### Graph Visualization - -
- Graph visualization with html - -* The following code can be found in `examples/graph_visual_with_html.py` - -```python -import networkx as nx -from pyvis.network import Network - -# Load the GraphML file -G = nx.read_graphml('./dickens/graph_chunk_entity_relation.graphml') - -# Create a Pyvis network -net = Network(notebook=True) - -# Convert NetworkX graph to Pyvis network -net.from_nx(G) - -# Save and display the network -net.show('knowledge_graph.html') -``` - -
- -
- Graph visualization with Neo4j - -* The following code can be found in `examples/graph_visual_with_neo4j.py` - -```python -import os -import json -from lightrag.utils import xml_to_json -from neo4j import GraphDatabase - -# Constants -WORKING_DIR = "./dickens" -BATCH_SIZE_NODES = 500 -BATCH_SIZE_EDGES = 100 - -# Neo4j connection credentials -NEO4J_URI = "bolt://localhost:7687" -NEO4J_USERNAME = "neo4j" -NEO4J_PASSWORD = "your_password" - -def convert_xml_to_json(xml_path, output_path): - """Converts XML file to JSON and saves the output.""" - if not os.path.exists(xml_path): - print(f"Error: File not found - {xml_path}") - return None - - json_data = xml_to_json(xml_path) - if json_data: - with open(output_path, 'w', encoding='utf-8') as f: - json.dump(json_data, f, ensure_ascii=False, indent=2) - print(f"JSON file created: {output_path}") - return json_data - else: - print("Failed to create JSON data") - return None - -def process_in_batches(tx, query, data, batch_size): - """Process data in batches and execute the given query.""" - for i in range(0, len(data), batch_size): - batch = data[i:i + batch_size] - tx.run(query, {"nodes": batch} if "nodes" in query else {"edges": batch}) - -def main(): - # Paths - xml_file = os.path.join(WORKING_DIR, 'graph_chunk_entity_relation.graphml') - json_file = os.path.join(WORKING_DIR, 'graph_data.json') - - # Convert XML to JSON - json_data = convert_xml_to_json(xml_file, json_file) - if json_data is None: - return - - # Load nodes and edges - nodes = json_data.get('nodes', []) - edges = json_data.get('edges', []) - - # Neo4j queries - create_nodes_query = """ - UNWIND $nodes AS node - MERGE (e:Entity {id: node.id}) - SET e.entity_type = node.entity_type, - e.description = node.description, - e.source_id = node.source_id, - e.displayName = node.id - REMOVE e:Entity - WITH e, node - CALL apoc.create.addLabels(e, [node.entity_type]) YIELD node AS labeledNode - RETURN count(*) - """ - - create_edges_query = """ - UNWIND $edges AS edge - MATCH (source {id: edge.source}) - MATCH (target {id: edge.target}) - WITH source, target, edge, - CASE - WHEN edge.keywords CONTAINS 'lead' THEN 'lead' - WHEN edge.keywords CONTAINS 'participate' THEN 'participate' - WHEN edge.keywords CONTAINS 'uses' THEN 'uses' - WHEN edge.keywords CONTAINS 'located' THEN 'located' - WHEN edge.keywords CONTAINS 'occurs' THEN 'occurs' - ELSE REPLACE(SPLIT(edge.keywords, ',')[0], '\"', '') - END AS relType - CALL apoc.create.relationship(source, relType, { - weight: edge.weight, - description: edge.description, - keywords: edge.keywords, - source_id: edge.source_id - }, target) YIELD rel - RETURN count(*) - """ - - set_displayname_and_labels_query = """ - MATCH (n) - SET n.displayName = n.id - WITH n - CALL apoc.create.setLabels(n, [n.entity_type]) YIELD node - RETURN count(*) - """ - - # Create a Neo4j driver - driver = GraphDatabase.driver(NEO4J_URI, auth=(NEO4J_USERNAME, NEO4J_PASSWORD)) - - try: - # Execute queries in batches - with driver.session() as session: - # Insert nodes in batches - session.execute_write(process_in_batches, create_nodes_query, nodes, BATCH_SIZE_NODES) - - # Insert edges in batches - session.execute_write(process_in_batches, create_edges_query, edges, BATCH_SIZE_EDGES) - - # Set displayName and labels - session.run(set_displayname_and_labels_query) - - except Exception as e: - print(f"Error occurred: {e}") - - finally: - driver.close() - -if __name__ == "__main__": - main() +import textract +# 指定要提取文本的文件路径 +file_path = 'path/to/your/file.pdf' +# 从文件中提取文本 +text_content = textract.process(file_path) +# 打印提取的文本 +print(text_content.decode('utf-8')) ``` -
-## API Server Implementation - -LightRAG also provides a FastAPI-based server implementation for RESTful API access to RAG operations. This allows you to run LightRAG as a service and interact with it through HTTP requests. - -### Setting up the API Server -
-Click to expand setup instructions - -1. First, ensure you have the required dependencies: -```bash -pip install fastapi uvicorn pydantic -``` - -2. Set up your environment variables: -```bash -export RAG_DIR="your_index_directory" # Optional: Defaults to "index_default" -``` - -3. Run the API server: -```bash -python examples/lightrag_api_openai_compatible_demo.py -``` - -The server will start on `http://0.0.0.0:8020`. -
- -### API Endpoints - -The API server provides the following endpoints: - -#### 1. Query Endpoint -
-Click to view Query endpoint details - -- **URL:** `/query` -- **Method:** POST -- **Body:** -```json -{ - "query": "Your question here", - "mode": "hybrid" // Can be "naive", "local", "global", or "hybrid" -} -``` -- **Example:** -```bash -curl -X POST "http://127.0.0.1:8020/query" \ - -H "Content-Type: application/json" \ - -d '{"query": "What are the main themes?", "mode": "hybrid"}' -``` -
- -#### 2. Insert Text Endpoint -
-Click to view Insert Text endpoint details - -- **URL:** `/insert` -- **Method:** POST -- **Body:** -```json -{ - "text": "Your text content here" -} -``` -- **Example:** -```bash -curl -X POST "http://127.0.0.1:8020/insert" \ - -H "Content-Type: application/json" \ - -d '{"text": "Content to be inserted into RAG"}' -``` -
- -#### 3. Insert File Endpoint -
-Click to view Insert File endpoint details - -- **URL:** `/insert_file` -- **Method:** POST -- **Body:** -```json -{ - "file_path": "path/to/your/file.txt" -} -``` -- **Example:** -```bash -curl -X POST "http://127.0.0.1:8020/insert_file" \ - -H "Content-Type: application/json" \ - -d '{"file_path": "./book.txt"}' -``` -
- -#### 4. Health Check Endpoint -
-Click to view Health Check endpoint details - -- **URL:** `/health` -- **Method:** GET -- **Example:** -```bash -curl -X GET "http://127.0.0.1:8020/health" -``` -
- -### Configuration - -The API server can be configured using environment variables: -- `RAG_DIR`: Directory for storing the RAG index (default: "index_default") -- API keys and base URLs should be configured in the code for your specific LLM and embedding model providers - -### Error Handling -
-Click to view error handling details - -The API includes comprehensive error handling: -- File not found errors (404) -- Processing errors (500) -- Supports multiple file encodings (UTF-8 and GBK) -
- -## Evaluation -### Dataset -The dataset used in LightRAG can be downloaded from [TommyChien/UltraDomain](https://huggingface.co/datasets/TommyChien/UltraDomain). - -### Generate Query -LightRAG uses the following prompt to generate high-level queries, with the corresponding code in `example/generate_query.py`. - -
- Prompt - -```python -Given the following description of a dataset: - -{description} - -Please identify 5 potential users who would engage with this dataset. For each user, list 5 tasks they would perform with this dataset. Then, for each (user, task) combination, generate 5 questions that require a high-level understanding of the entire dataset. - -Output the results in the following structure: -- User 1: [user description] - - Task 1: [task description] - - Question 1: - - Question 2: - - Question 3: - - Question 4: - - Question 5: - - Task 2: [task description] - ... - - Task 5: [task description] -- User 2: [user description] - ... -- User 5: [user description] - ... -``` -
- - ### Batch Eval -To evaluate the performance of two RAG systems on high-level queries, LightRAG uses the following prompt, with the specific code available in `example/batch_eval.py`. - -
- Prompt - -```python ----Role--- -You are an expert tasked with evaluating two answers to the same question based on three criteria: **Comprehensiveness**, **Diversity**, and **Empowerment**. ----Goal--- -You will evaluate two answers to the same question based on three criteria: **Comprehensiveness**, **Diversity**, and **Empowerment**. - -- **Comprehensiveness**: How much detail does the answer provide to cover all aspects and details of the question? -- **Diversity**: How varied and rich is the answer in providing different perspectives and insights on the question? -- **Empowerment**: How well does the answer help the reader understand and make informed judgments about the topic? - -For each criterion, choose the better answer (either Answer 1 or Answer 2) and explain why. Then, select an overall winner based on these three categories. - -Here is the question: -{query} - -Here are the two answers: - -**Answer 1:** -{answer1} - -**Answer 2:** -{answer2} - -Evaluate both answers using the three criteria listed above and provide detailed explanations for each criterion. - -Output your evaluation in the following JSON format: - -{{ - "Comprehensiveness": {{ - "Winner": "[Answer 1 or Answer 2]", - "Explanation": "[Provide explanation here]" - }}, - "Empowerment": {{ - "Winner": "[Answer 1 or Answer 2]", - "Explanation": "[Provide explanation here]" - }}, - "Overall Winner": {{ - "Winner": "[Answer 1 or Answer 2]", - "Explanation": "[Summarize why this answer is the overall winner based on the three criteria]" - }} -}} -``` -
- -### Overall Performance Table -| | **Agriculture** | | **CS** | | **Legal** | | **Mix** | | -|----------------------|-------------------------|-----------------------|-----------------------|-----------------------|-----------------------|-----------------------|-----------------------|-----------------------| -| | NaiveRAG | **LightRAG** | NaiveRAG | **LightRAG** | NaiveRAG | **LightRAG** | NaiveRAG | **LightRAG** | -| **Comprehensiveness** | 32.69% | **67.31%** | 35.44% | **64.56%** | 19.05% | **80.95%** | 36.36% | **63.64%** | -| **Diversity** | 24.09% | **75.91%** | 35.24% | **64.76%** | 10.98% | **89.02%** | 30.76% | **69.24%** | -| **Empowerment** | 31.35% | **68.65%** | 35.48% | **64.52%** | 17.59% | **82.41%** | 40.95% | **59.05%** | -| **Overall** | 33.30% | **66.70%** | 34.76% | **65.24%** | 17.46% | **82.54%** | 37.59% | **62.40%** | -| | RQ-RAG | **LightRAG** | RQ-RAG | **LightRAG** | RQ-RAG | **LightRAG** | RQ-RAG | **LightRAG** | -| **Comprehensiveness** | 32.05% | **67.95%** | 39.30% | **60.70%** | 18.57% | **81.43%** | 38.89% | **61.11%** | -| **Diversity** | 29.44% | **70.56%** | 38.71% | **61.29%** | 15.14% | **84.86%** | 28.50% | **71.50%** | -| **Empowerment** | 32.51% | **67.49%** | 37.52% | **62.48%** | 17.80% | **82.20%** | 43.96% | **56.04%** | -| **Overall** | 33.29% | **66.71%** | 39.03% | **60.97%** | 17.80% | **82.20%** | 39.61% | **60.39%** | -| | HyDE | **LightRAG** | HyDE | **LightRAG** | HyDE | **LightRAG** | HyDE | **LightRAG** | -| **Comprehensiveness** | 24.39% | **75.61%** | 36.49% | **63.51%** | 27.68% | **72.32%** | 42.17% | **57.83%** | -| **Diversity** | 24.96% | **75.34%** | 37.41% | **62.59%** | 18.79% | **81.21%** | 30.88% | **69.12%** | -| **Empowerment** | 24.89% | **75.11%** | 34.99% | **65.01%** | 26.99% | **73.01%** | **45.61%** | **54.39%** | -| **Overall** | 23.17% | **76.83%** | 35.67% | **64.33%** | 27.68% | **72.32%** | 42.72% | **57.28%** | -| | GraphRAG | **LightRAG** | GraphRAG | **LightRAG** | GraphRAG | **LightRAG** | GraphRAG | **LightRAG** | -| **Comprehensiveness** | 45.56% | **54.44%** | 45.98% | **54.02%** | 47.13% | **52.87%** | **51.86%** | 48.14% | -| **Diversity** | 19.65% | **80.35%** | 39.64% | **60.36%** | 25.55% | **74.45%** | 35.87% | **64.13%** | -| **Empowerment** | 36.69% | **63.31%** | 45.09% | **54.91%** | 42.81% | **57.19%** | **52.94%** | 47.06% | -| **Overall** | 43.62% | **56.38%** | 45.98% | **54.02%** | 45.70% | **54.30%** | **51.86%** | 48.14% | - -## Reproduce -All the code can be found in the `./reproduce` directory. - -### Step-0 Extract Unique Contexts -First, we need to extract unique contexts in the datasets. - -
- Code - -```python -def extract_unique_contexts(input_directory, output_directory): - - os.makedirs(output_directory, exist_ok=True) - - jsonl_files = glob.glob(os.path.join(input_directory, '*.jsonl')) - print(f"Found {len(jsonl_files)} JSONL files.") - - for file_path in jsonl_files: - filename = os.path.basename(file_path) - name, ext = os.path.splitext(filename) - output_filename = f"{name}_unique_contexts.json" - output_path = os.path.join(output_directory, output_filename) - - unique_contexts_dict = {} - - print(f"Processing file: {filename}") - - try: - with open(file_path, 'r', encoding='utf-8') as infile: - for line_number, line in enumerate(infile, start=1): - line = line.strip() - if not line: - continue - try: - json_obj = json.loads(line) - context = json_obj.get('context') - if context and context not in unique_contexts_dict: - unique_contexts_dict[context] = None - except json.JSONDecodeError as e: - print(f"JSON decoding error in file {filename} at line {line_number}: {e}") - except FileNotFoundError: - print(f"File not found: {filename}") - continue - except Exception as e: - print(f"An error occurred while processing file {filename}: {e}") - continue - - unique_contexts_list = list(unique_contexts_dict.keys()) - print(f"There are {len(unique_contexts_list)} unique `context` entries in the file {filename}.") - - try: - with open(output_path, 'w', encoding='utf-8') as outfile: - json.dump(unique_contexts_list, outfile, ensure_ascii=False, indent=4) - print(f"Unique `context` entries have been saved to: {output_filename}") - except Exception as e: - print(f"An error occurred while saving to the file {output_filename}: {e}") - - print("All files have been processed.") - -``` -
- -### Step-1 Insert Contexts -For the extracted contexts, we insert them into the LightRAG system. - -
- Code - -```python -def insert_text(rag, file_path): - with open(file_path, mode='r') as f: - unique_contexts = json.load(f) - - retries = 0 - max_retries = 3 - while retries < max_retries: - try: - rag.insert(unique_contexts) - break - except Exception as e: - retries += 1 - print(f"Insertion failed, retrying ({retries}/{max_retries}), error: {e}") - time.sleep(10) - if retries == max_retries: - print("Insertion failed after exceeding the maximum number of retries") -``` -
- -### Step-2 Generate Queries - -We extract tokens from the first and the second half of each context in the dataset, then combine them as dataset descriptions to generate queries. - -
- Code - -```python -tokenizer = GPT2Tokenizer.from_pretrained('gpt2') - -def get_summary(context, tot_tokens=2000): - tokens = tokenizer.tokenize(context) - half_tokens = tot_tokens // 2 - - start_tokens = tokens[1000:1000 + half_tokens] - end_tokens = tokens[-(1000 + half_tokens):1000] - - summary_tokens = start_tokens + end_tokens - summary = tokenizer.convert_tokens_to_string(summary_tokens) - - return summary -``` -
- -### Step-3 Query -For the queries generated in Step-2, we will extract them and query LightRAG. - -
- Code - -```python -def extract_queries(file_path): - with open(file_path, 'r') as f: - data = f.read() - - data = data.replace('**', '') - - queries = re.findall(r'- Question \d+: (.+)', data) - - return queries -``` -
- -## Code Structure - -```python -. -├── examples -│ ├── batch_eval.py -│ ├── graph_visual_with_html.py -│ ├── graph_visual_with_neo4j.py -│ ├── generate_query.py -│ ├── lightrag_azure_openai_demo.py -│ ├── lightrag_bedrock_demo.py -│ ├── lightrag_hf_demo.py -│ ├── lightrag_ollama_demo.py -│ ├── lightrag_openai_compatible_demo.py -│ ├── lightrag_openai_demo.py -│ ├── lightrag_siliconcloud_demo.py -│ └── vram_management_demo.py -├── lightrag -│ ├── __init__.py -│ ├── base.py -│ ├── lightrag.py -│ ├── llm.py -│ ├── operate.py -│ ├── prompt.py -│ ├── storage.py -│ └── utils.py -├── reproduce -│ ├── Step_0.py -│ ├── Step_1.py -│ ├── Step_2.py -│ └── Step_3.py -├── .gitignore -├── .pre-commit-config.yaml -├── LICENSE -├── README.md -├── requirements.txt -└── setup.py -``` - -## Star History - - - - - - Star History Chart - - - -## Citation - -```python -@article{guo2024lightrag, -title={LightRAG: Simple and Fast Retrieval-Augmented Generation}, -author={Zirui Guo and Lianghao Xia and Yanhua Yu and Tu Ao and Chao Huang}, -year={2024}, -eprint={2410.05779}, -archivePrefix={arXiv}, -primaryClass={cs.IR} -} -``` From 8ce390db33d71b69156290990e31f3015f35e5b2 Mon Sep 17 00:00:00 2001 From: MrGidea <98243922+MrGidea@users.noreply.github.com> Date: Tue, 29 Oct 2024 15:45:00 +0800 Subject: [PATCH 119/258] Update README.md --- README.md | 2 +- 1 file changed, 1 insertion(+), 1 deletion(-) diff --git a/README.md b/README.md index c7dbf6b6..7f133490 100644 --- a/README.md +++ b/README.md @@ -3,7 +3,7 @@ ```bash pip install textract ``` -*example +* example ```bash import textract # 指定要提取文本的文件路径 From 116dc1c31550110d6ab5a0236974c25cf7d46cc6 Mon Sep 17 00:00:00 2001 From: MrGidea <98243922+MrGidea@users.noreply.github.com> Date: Tue, 29 Oct 2024 15:46:48 +0800 Subject: [PATCH 120/258] Update README.md --- README.md | 1 + 1 file changed, 1 insertion(+) diff --git a/README.md b/README.md index 7f133490..921b44d8 100644 --- a/README.md +++ b/README.md @@ -1,4 +1,5 @@ ## Quick start +Currently, the test supports pptx, pdf, csv, word, txt file types * install textract ```bash pip install textract From fe5621e25aef139c6f8c340ee4eb1756a4900451 Mon Sep 17 00:00:00 2001 From: MrGidea <98243922+MrGidea@users.noreply.github.com> Date: Tue, 29 Oct 2024 15:47:17 +0800 Subject: [PATCH 121/258] Update README.md --- README.md | 2 +- 1 file changed, 1 insertion(+), 1 deletion(-) diff --git a/README.md b/README.md index 921b44d8..660c7b27 100644 --- a/README.md +++ b/README.md @@ -1,5 +1,5 @@ ## Quick start -Currently, the test supports pptx, pdf, csv, word, txt file types +Currently, the test supports pptx, pdf, csv, docx, txt file types * install textract ```bash pip install textract From 818074d258f2e90175a4eb123b46ce0191f78ea1 Mon Sep 17 00:00:00 2001 From: LarFii <834462287@qq.com> Date: Tue, 29 Oct 2024 16:16:11 +0800 Subject: [PATCH 122/258] Update README.md --- README.md | 6 +++++- 1 file changed, 5 insertions(+), 1 deletion(-) diff --git a/README.md b/README.md index 683dd0b2..870c2d6f 100644 --- a/README.md +++ b/README.md @@ -804,12 +804,14 @@ def extract_queries(file_path): . ├── examples │ ├── batch_eval.py +│ ├── generate_query.py │ ├── graph_visual_with_html.py │ ├── graph_visual_with_neo4j.py -│ ├── generate_query.py +│ ├── lightrag_api_openai_compatible_demo.py │ ├── lightrag_azure_openai_demo.py │ ├── lightrag_bedrock_demo.py │ ├── lightrag_hf_demo.py +│ ├── lightrag_lmdeploy_demo.py │ ├── lightrag_ollama_demo.py │ ├── lightrag_openai_compatible_demo.py │ ├── lightrag_openai_demo.py @@ -826,8 +828,10 @@ def extract_queries(file_path): │ └── utils.py ├── reproduce │ ├── Step_0.py +│ ├── Step_1_openai_compatible.py │ ├── Step_1.py │ ├── Step_2.py +│ ├── Step_3_openai_compatible.py │ └── Step_3.py ├── .gitignore ├── .pre-commit-config.yaml From fb093690da78d65cd5783797c50ffe80be8e9d01 Mon Sep 17 00:00:00 2001 From: MrGidea <98243922+MrGidea@users.noreply.github.com> Date: Tue, 29 Oct 2024 16:36:04 +0800 Subject: [PATCH 123/258] Update README.md --- README.md | 884 +++++++++++++++++++++++++++++++++++++++++++++++++++++- 1 file changed, 874 insertions(+), 10 deletions(-) diff --git a/README.md b/README.md index 660c7b27..acfd7c96 100644 --- a/README.md +++ b/README.md @@ -1,18 +1,882 @@ -## Quick start -Currently, the test supports pptx, pdf, csv, docx, txt file types -* install textract +

🚀 LightRAG: Simple and Fast Retrieval-Augmented Generation

+ + +![请添加图片描述](https://i-blog.csdnimg.cn/direct/567139f1a36e4564abc63ce5c12b6271.jpeg) + +
+

+ + + + +

+

+ + + + +

+ +This repository hosts the code of LightRAG. The structure of this code is based on [nano-graphrag](https://github.com/gusye1234/nano-graphrag). +![请添加图片描述](https://i-blog.csdnimg.cn/direct/b2aaf634151b4706892693ffb43d9093.png) +
+ +## 🎉 News +- [x] [2024.10.29]🎯🎯📢📢Multi-file types are now supported by `textract`. +- [x] [2024.10.20]🎯🎯📢📢We’ve added a new feature to LightRAG: Graph Visualization. +- [x] [2024.10.18]🎯🎯📢📢We’ve added a link to a [LightRAG Introduction Video](https://youtu.be/oageL-1I0GE). Thanks to the author! +- [x] [2024.10.17]🎯🎯📢📢We have created a [Discord channel](https://discord.gg/mvsfu2Tg)! Welcome to join for sharing and discussions! 🎉🎉 +- [x] [2024.10.16]🎯🎯📢📢LightRAG now supports [Ollama models](https://github.com/HKUDS/LightRAG?tab=readme-ov-file#quick-start)! +- [x] [2024.10.15]🎯🎯📢📢LightRAG now supports [Hugging Face models](https://github.com/HKUDS/LightRAG?tab=readme-ov-file#quick-start)! + +## Algorithm Flowchart + +![LightRAG_Self excalidraw](https://github.com/user-attachments/assets/aa5c4892-2e44-49e6-a116-2403ed80a1a3) + + +## Install + +* Install from source (Recommend) + +```bash +cd LightRAG +pip install -e . +``` +* Install from PyPI +```bash +pip install lightrag-hku +``` + +## Quick Start +* [Video demo](https://www.youtube.com/watch?v=g21royNJ4fw) of running LightRAG locally. +* All the code can be found in the `examples`. +* Set OpenAI API key in environment if using OpenAI models: `export OPENAI_API_KEY="sk-...".` +* Download the demo text "A Christmas Carol by Charles Dickens": +```bash +curl https://raw.githubusercontent.com/gusye1234/nano-graphrag/main/tests/mock_data.txt > ./book.txt +``` +Use the below Python snippet (in a script) to initialize LightRAG and perform queries: + +```python +import os +from lightrag import LightRAG, QueryParam +from lightrag.llm import gpt_4o_mini_complete, gpt_4o_complete + +######### +# Uncomment the below two lines if running in a jupyter notebook to handle the async nature of rag.insert() +# import nest_asyncio +# nest_asyncio.apply() +######### + +WORKING_DIR = "./dickens" + + +if not os.path.exists(WORKING_DIR): + os.mkdir(WORKING_DIR) + +rag = LightRAG( + working_dir=WORKING_DIR, + llm_model_func=gpt_4o_mini_complete # Use gpt_4o_mini_complete LLM model + # llm_model_func=gpt_4o_complete # Optionally, use a stronger model +) + +with open("./book.txt") as f: + rag.insert(f.read()) + +# Perform naive search +print(rag.query("What are the top themes in this story?", param=QueryParam(mode="naive"))) + +# Perform local search +print(rag.query("What are the top themes in this story?", param=QueryParam(mode="local"))) + +# Perform global search +print(rag.query("What are the top themes in this story?", param=QueryParam(mode="global"))) + +# Perform hybrid search +print(rag.query("What are the top themes in this story?", param=QueryParam(mode="hybrid"))) +``` + +
+ Using Open AI-like APIs + +* LightRAG also supports Open AI-like chat/embeddings APIs: +```python +async def llm_model_func( + prompt, system_prompt=None, history_messages=[], **kwargs +) -> str: + return await openai_complete_if_cache( + "solar-mini", + prompt, + system_prompt=system_prompt, + history_messages=history_messages, + api_key=os.getenv("UPSTAGE_API_KEY"), + base_url="https://api.upstage.ai/v1/solar", + **kwargs + ) + +async def embedding_func(texts: list[str]) -> np.ndarray: + return await openai_embedding( + texts, + model="solar-embedding-1-large-query", + api_key=os.getenv("UPSTAGE_API_KEY"), + base_url="https://api.upstage.ai/v1/solar" + ) + +rag = LightRAG( + working_dir=WORKING_DIR, + llm_model_func=llm_model_func, + embedding_func=EmbeddingFunc( + embedding_dim=4096, + max_token_size=8192, + func=embedding_func + ) +) +``` +
+ +
+ Using Hugging Face Models + +* If you want to use Hugging Face models, you only need to set LightRAG as follows: +```python +from lightrag.llm import hf_model_complete, hf_embedding +from transformers import AutoModel, AutoTokenizer + +# Initialize LightRAG with Hugging Face model +rag = LightRAG( + working_dir=WORKING_DIR, + llm_model_func=hf_model_complete, # Use Hugging Face model for text generation + llm_model_name='meta-llama/Llama-3.1-8B-Instruct', # Model name from Hugging Face + # Use Hugging Face embedding function + embedding_func=EmbeddingFunc( + embedding_dim=384, + max_token_size=5000, + func=lambda texts: hf_embedding( + texts, + tokenizer=AutoTokenizer.from_pretrained("sentence-transformers/all-MiniLM-L6-v2"), + embed_model=AutoModel.from_pretrained("sentence-transformers/all-MiniLM-L6-v2") + ) + ), +) +``` +
+ +
+ Using Ollama Models + +### Overview +If you want to use Ollama models, you need to pull model you plan to use and embedding model, for example `nomic-embed-text`. + +Then you only need to set LightRAG as follows: + +```python +from lightrag.llm import ollama_model_complete, ollama_embedding + +# Initialize LightRAG with Ollama model +rag = LightRAG( + working_dir=WORKING_DIR, + llm_model_func=ollama_model_complete, # Use Ollama model for text generation + llm_model_name='your_model_name', # Your model name + # Use Ollama embedding function + embedding_func=EmbeddingFunc( + embedding_dim=768, + max_token_size=8192, + func=lambda texts: ollama_embedding( + texts, + embed_model="nomic-embed-text" + ) + ), +) +``` + +### Increasing context size +In order for LightRAG to work context should be at least 32k tokens. By default Ollama models have context size of 8k. You can achieve this using one of two ways: + +#### Increasing the `num_ctx` parameter in Modelfile. + +1. Pull the model: +```bash +ollama pull qwen2 +``` + +2. Display the model file: +```bash +ollama show --modelfile qwen2 > Modelfile +``` + +3. Edit the Modelfile by adding the following line: ```bash -pip install textract +PARAMETER num_ctx 32768 ``` -* example + +4. Create the modified model: ```bash +ollama create -f Modelfile qwen2m +``` + +#### Setup `num_ctx` via Ollama API. +Tiy can use `llm_model_kwargs` param to configure ollama: + +```python +rag = LightRAG( + working_dir=WORKING_DIR, + llm_model_func=ollama_model_complete, # Use Ollama model for text generation + llm_model_name='your_model_name', # Your model name + llm_model_kwargs={"options": {"num_ctx": 32768}}, + # Use Ollama embedding function + embedding_func=EmbeddingFunc( + embedding_dim=768, + max_token_size=8192, + func=lambda texts: ollama_embedding( + texts, + embed_model="nomic-embed-text" + ) + ), +) +``` +#### Fully functional example + +There fully functional example `examples/lightrag_ollama_demo.py` that utilizes `gemma2:2b` model, runs only 4 requests in parallel and set context size to 32k. + +#### Low RAM GPUs + +In order to run this experiment on low RAM GPU you should select small model and tune context window (increasing context increase memory consumption). For example, running this ollama example on repurposed mining GPU with 6Gb of RAM required to set context size to 26k while using `gemma2:2b`. It was able to find 197 entities and 19 relations on `book.txt`. + +
+ +### Query Param + +```python +class QueryParam: + mode: Literal["local", "global", "hybrid", "naive"] = "global" + only_need_context: bool = False + response_type: str = "Multiple Paragraphs" + # Number of top-k items to retrieve; corresponds to entities in "local" mode and relationships in "global" mode. + top_k: int = 60 + # Number of tokens for the original chunks. + max_token_for_text_unit: int = 4000 + # Number of tokens for the relationship descriptions + max_token_for_global_context: int = 4000 + # Number of tokens for the entity descriptions + max_token_for_local_context: int = 4000 +``` + +### Batch Insert + +```python +# Batch Insert: Insert multiple texts at once +rag.insert(["TEXT1", "TEXT2",...]) +``` + +### Incremental Insert + +```python +# Incremental Insert: Insert new documents into an existing LightRAG instance +rag = LightRAG( + working_dir=WORKING_DIR, + llm_model_func=llm_model_func, + embedding_func=EmbeddingFunc( + embedding_dim=embedding_dimension, + max_token_size=8192, + func=embedding_func, + ), +) + +with open("./newText.txt") as f: + rag.insert(f.read()) +``` + +### Multi-file Type Support + +The `testract` supports reading file types such as TXT, DOCX, PPTX, CSV, and PDF. + +```python import textract -# 指定要提取文本的文件路径 -file_path = 'path/to/your/file.pdf' -# 从文件中提取文本 + +file_path = 'TEXT.pdf' text_content = textract.process(file_path) -# 打印提取的文本 -print(text_content.decode('utf-8')) + +rag.insert(text_content.decode('utf-8')) +``` + +### Graph Visualization + +
+ Graph visualization with html + +* The following code can be found in `examples/graph_visual_with_html.py` + +```python +import networkx as nx +from pyvis.network import Network + +# Load the GraphML file +G = nx.read_graphml('./dickens/graph_chunk_entity_relation.graphml') + +# Create a Pyvis network +net = Network(notebook=True) + +# Convert NetworkX graph to Pyvis network +net.from_nx(G) + +# Save and display the network +net.show('knowledge_graph.html') +``` + +
+ +
+ Graph visualization with Neo4j + +* The following code can be found in `examples/graph_visual_with_neo4j.py` + +```python +import os +import json +from lightrag.utils import xml_to_json +from neo4j import GraphDatabase + +# Constants +WORKING_DIR = "./dickens" +BATCH_SIZE_NODES = 500 +BATCH_SIZE_EDGES = 100 + +# Neo4j connection credentials +NEO4J_URI = "bolt://localhost:7687" +NEO4J_USERNAME = "neo4j" +NEO4J_PASSWORD = "your_password" + +def convert_xml_to_json(xml_path, output_path): + """Converts XML file to JSON and saves the output.""" + if not os.path.exists(xml_path): + print(f"Error: File not found - {xml_path}") + return None + + json_data = xml_to_json(xml_path) + if json_data: + with open(output_path, 'w', encoding='utf-8') as f: + json.dump(json_data, f, ensure_ascii=False, indent=2) + print(f"JSON file created: {output_path}") + return json_data + else: + print("Failed to create JSON data") + return None + +def process_in_batches(tx, query, data, batch_size): + """Process data in batches and execute the given query.""" + for i in range(0, len(data), batch_size): + batch = data[i:i + batch_size] + tx.run(query, {"nodes": batch} if "nodes" in query else {"edges": batch}) + +def main(): + # Paths + xml_file = os.path.join(WORKING_DIR, 'graph_chunk_entity_relation.graphml') + json_file = os.path.join(WORKING_DIR, 'graph_data.json') + + # Convert XML to JSON + json_data = convert_xml_to_json(xml_file, json_file) + if json_data is None: + return + + # Load nodes and edges + nodes = json_data.get('nodes', []) + edges = json_data.get('edges', []) + + # Neo4j queries + create_nodes_query = """ + UNWIND $nodes AS node + MERGE (e:Entity {id: node.id}) + SET e.entity_type = node.entity_type, + e.description = node.description, + e.source_id = node.source_id, + e.displayName = node.id + REMOVE e:Entity + WITH e, node + CALL apoc.create.addLabels(e, [node.entity_type]) YIELD node AS labeledNode + RETURN count(*) + """ + + create_edges_query = """ + UNWIND $edges AS edge + MATCH (source {id: edge.source}) + MATCH (target {id: edge.target}) + WITH source, target, edge, + CASE + WHEN edge.keywords CONTAINS 'lead' THEN 'lead' + WHEN edge.keywords CONTAINS 'participate' THEN 'participate' + WHEN edge.keywords CONTAINS 'uses' THEN 'uses' + WHEN edge.keywords CONTAINS 'located' THEN 'located' + WHEN edge.keywords CONTAINS 'occurs' THEN 'occurs' + ELSE REPLACE(SPLIT(edge.keywords, ',')[0], '\"', '') + END AS relType + CALL apoc.create.relationship(source, relType, { + weight: edge.weight, + description: edge.description, + keywords: edge.keywords, + source_id: edge.source_id + }, target) YIELD rel + RETURN count(*) + """ + + set_displayname_and_labels_query = """ + MATCH (n) + SET n.displayName = n.id + WITH n + CALL apoc.create.setLabels(n, [n.entity_type]) YIELD node + RETURN count(*) + """ + + # Create a Neo4j driver + driver = GraphDatabase.driver(NEO4J_URI, auth=(NEO4J_USERNAME, NEO4J_PASSWORD)) + + try: + # Execute queries in batches + with driver.session() as session: + # Insert nodes in batches + session.execute_write(process_in_batches, create_nodes_query, nodes, BATCH_SIZE_NODES) + + # Insert edges in batches + session.execute_write(process_in_batches, create_edges_query, edges, BATCH_SIZE_EDGES) + + # Set displayName and labels + session.run(set_displayname_and_labels_query) + + except Exception as e: + print(f"Error occurred: {e}") + + finally: + driver.close() + +if __name__ == "__main__": + main() +``` + +
+ +## API Server Implementation + +LightRAG also provides a FastAPI-based server implementation for RESTful API access to RAG operations. This allows you to run LightRAG as a service and interact with it through HTTP requests. + +### Setting up the API Server +
+Click to expand setup instructions + +1. First, ensure you have the required dependencies: +```bash +pip install fastapi uvicorn pydantic +``` + +2. Set up your environment variables: +```bash +export RAG_DIR="your_index_directory" # Optional: Defaults to "index_default" +``` + +3. Run the API server: +```bash +python examples/lightrag_api_openai_compatible_demo.py +``` + +The server will start on `http://0.0.0.0:8020`. +
+ +### API Endpoints + +The API server provides the following endpoints: + +#### 1. Query Endpoint +
+Click to view Query endpoint details + +- **URL:** `/query` +- **Method:** POST +- **Body:** +```json +{ + "query": "Your question here", + "mode": "hybrid" // Can be "naive", "local", "global", or "hybrid" +} +``` +- **Example:** +```bash +curl -X POST "http://127.0.0.1:8020/query" \ + -H "Content-Type: application/json" \ + -d '{"query": "What are the main themes?", "mode": "hybrid"}' +``` +
+ +#### 2. Insert Text Endpoint +
+Click to view Insert Text endpoint details + +- **URL:** `/insert` +- **Method:** POST +- **Body:** +```json +{ + "text": "Your text content here" +} +``` +- **Example:** +```bash +curl -X POST "http://127.0.0.1:8020/insert" \ + -H "Content-Type: application/json" \ + -d '{"text": "Content to be inserted into RAG"}' +``` +
+ +#### 3. Insert File Endpoint +
+Click to view Insert File endpoint details + +- **URL:** `/insert_file` +- **Method:** POST +- **Body:** +```json +{ + "file_path": "path/to/your/file.txt" +} +``` +- **Example:** +```bash +curl -X POST "http://127.0.0.1:8020/insert_file" \ + -H "Content-Type: application/json" \ + -d '{"file_path": "./book.txt"}' +``` +
+ +#### 4. Health Check Endpoint +
+Click to view Health Check endpoint details + +- **URL:** `/health` +- **Method:** GET +- **Example:** +```bash +curl -X GET "http://127.0.0.1:8020/health" +``` +
+ +### Configuration + +The API server can be configured using environment variables: +- `RAG_DIR`: Directory for storing the RAG index (default: "index_default") +- API keys and base URLs should be configured in the code for your specific LLM and embedding model providers + +### Error Handling +
+Click to view error handling details + +The API includes comprehensive error handling: +- File not found errors (404) +- Processing errors (500) +- Supports multiple file encodings (UTF-8 and GBK) +
+ +## Evaluation +### Dataset +The dataset used in LightRAG can be downloaded from [TommyChien/UltraDomain](https://huggingface.co/datasets/TommyChien/UltraDomain). + +### Generate Query +LightRAG uses the following prompt to generate high-level queries, with the corresponding code in `example/generate_query.py`. + +
+ Prompt + +```python +Given the following description of a dataset: + +{description} + +Please identify 5 potential users who would engage with this dataset. For each user, list 5 tasks they would perform with this dataset. Then, for each (user, task) combination, generate 5 questions that require a high-level understanding of the entire dataset. + +Output the results in the following structure: +- User 1: [user description] + - Task 1: [task description] + - Question 1: + - Question 2: + - Question 3: + - Question 4: + - Question 5: + - Task 2: [task description] + ... + - Task 5: [task description] +- User 2: [user description] + ... +- User 5: [user description] + ... +``` +
+ + ### Batch Eval +To evaluate the performance of two RAG systems on high-level queries, LightRAG uses the following prompt, with the specific code available in `example/batch_eval.py`. + +
+ Prompt + +```python +---Role--- +You are an expert tasked with evaluating two answers to the same question based on three criteria: **Comprehensiveness**, **Diversity**, and **Empowerment**. +---Goal--- +You will evaluate two answers to the same question based on three criteria: **Comprehensiveness**, **Diversity**, and **Empowerment**. + +- **Comprehensiveness**: How much detail does the answer provide to cover all aspects and details of the question? +- **Diversity**: How varied and rich is the answer in providing different perspectives and insights on the question? +- **Empowerment**: How well does the answer help the reader understand and make informed judgments about the topic? + +For each criterion, choose the better answer (either Answer 1 or Answer 2) and explain why. Then, select an overall winner based on these three categories. + +Here is the question: +{query} + +Here are the two answers: + +**Answer 1:** +{answer1} + +**Answer 2:** +{answer2} + +Evaluate both answers using the three criteria listed above and provide detailed explanations for each criterion. + +Output your evaluation in the following JSON format: + +{{ + "Comprehensiveness": {{ + "Winner": "[Answer 1 or Answer 2]", + "Explanation": "[Provide explanation here]" + }}, + "Empowerment": {{ + "Winner": "[Answer 1 or Answer 2]", + "Explanation": "[Provide explanation here]" + }}, + "Overall Winner": {{ + "Winner": "[Answer 1 or Answer 2]", + "Explanation": "[Summarize why this answer is the overall winner based on the three criteria]" + }} +}} +``` +
+ +### Overall Performance Table +| | **Agriculture** | | **CS** | | **Legal** | | **Mix** | | +|----------------------|-------------------------|-----------------------|-----------------------|-----------------------|-----------------------|-----------------------|-----------------------|-----------------------| +| | NaiveRAG | **LightRAG** | NaiveRAG | **LightRAG** | NaiveRAG | **LightRAG** | NaiveRAG | **LightRAG** | +| **Comprehensiveness** | 32.69% | **67.31%** | 35.44% | **64.56%** | 19.05% | **80.95%** | 36.36% | **63.64%** | +| **Diversity** | 24.09% | **75.91%** | 35.24% | **64.76%** | 10.98% | **89.02%** | 30.76% | **69.24%** | +| **Empowerment** | 31.35% | **68.65%** | 35.48% | **64.52%** | 17.59% | **82.41%** | 40.95% | **59.05%** | +| **Overall** | 33.30% | **66.70%** | 34.76% | **65.24%** | 17.46% | **82.54%** | 37.59% | **62.40%** | +| | RQ-RAG | **LightRAG** | RQ-RAG | **LightRAG** | RQ-RAG | **LightRAG** | RQ-RAG | **LightRAG** | +| **Comprehensiveness** | 32.05% | **67.95%** | 39.30% | **60.70%** | 18.57% | **81.43%** | 38.89% | **61.11%** | +| **Diversity** | 29.44% | **70.56%** | 38.71% | **61.29%** | 15.14% | **84.86%** | 28.50% | **71.50%** | +| **Empowerment** | 32.51% | **67.49%** | 37.52% | **62.48%** | 17.80% | **82.20%** | 43.96% | **56.04%** | +| **Overall** | 33.29% | **66.71%** | 39.03% | **60.97%** | 17.80% | **82.20%** | 39.61% | **60.39%** | +| | HyDE | **LightRAG** | HyDE | **LightRAG** | HyDE | **LightRAG** | HyDE | **LightRAG** | +| **Comprehensiveness** | 24.39% | **75.61%** | 36.49% | **63.51%** | 27.68% | **72.32%** | 42.17% | **57.83%** | +| **Diversity** | 24.96% | **75.34%** | 37.41% | **62.59%** | 18.79% | **81.21%** | 30.88% | **69.12%** | +| **Empowerment** | 24.89% | **75.11%** | 34.99% | **65.01%** | 26.99% | **73.01%** | **45.61%** | **54.39%** | +| **Overall** | 23.17% | **76.83%** | 35.67% | **64.33%** | 27.68% | **72.32%** | 42.72% | **57.28%** | +| | GraphRAG | **LightRAG** | GraphRAG | **LightRAG** | GraphRAG | **LightRAG** | GraphRAG | **LightRAG** | +| **Comprehensiveness** | 45.56% | **54.44%** | 45.98% | **54.02%** | 47.13% | **52.87%** | **51.86%** | 48.14% | +| **Diversity** | 19.65% | **80.35%** | 39.64% | **60.36%** | 25.55% | **74.45%** | 35.87% | **64.13%** | +| **Empowerment** | 36.69% | **63.31%** | 45.09% | **54.91%** | 42.81% | **57.19%** | **52.94%** | 47.06% | +| **Overall** | 43.62% | **56.38%** | 45.98% | **54.02%** | 45.70% | **54.30%** | **51.86%** | 48.14% | + +## Reproduce +All the code can be found in the `./reproduce` directory. + +### Step-0 Extract Unique Contexts +First, we need to extract unique contexts in the datasets. + +
+ Code + +```python +def extract_unique_contexts(input_directory, output_directory): + + os.makedirs(output_directory, exist_ok=True) + + jsonl_files = glob.glob(os.path.join(input_directory, '*.jsonl')) + print(f"Found {len(jsonl_files)} JSONL files.") + + for file_path in jsonl_files: + filename = os.path.basename(file_path) + name, ext = os.path.splitext(filename) + output_filename = f"{name}_unique_contexts.json" + output_path = os.path.join(output_directory, output_filename) + + unique_contexts_dict = {} + + print(f"Processing file: {filename}") + + try: + with open(file_path, 'r', encoding='utf-8') as infile: + for line_number, line in enumerate(infile, start=1): + line = line.strip() + if not line: + continue + try: + json_obj = json.loads(line) + context = json_obj.get('context') + if context and context not in unique_contexts_dict: + unique_contexts_dict[context] = None + except json.JSONDecodeError as e: + print(f"JSON decoding error in file {filename} at line {line_number}: {e}") + except FileNotFoundError: + print(f"File not found: {filename}") + continue + except Exception as e: + print(f"An error occurred while processing file {filename}: {e}") + continue + + unique_contexts_list = list(unique_contexts_dict.keys()) + print(f"There are {len(unique_contexts_list)} unique `context` entries in the file {filename}.") + + try: + with open(output_path, 'w', encoding='utf-8') as outfile: + json.dump(unique_contexts_list, outfile, ensure_ascii=False, indent=4) + print(f"Unique `context` entries have been saved to: {output_filename}") + except Exception as e: + print(f"An error occurred while saving to the file {output_filename}: {e}") + + print("All files have been processed.") + +``` +
+ +### Step-1 Insert Contexts +For the extracted contexts, we insert them into the LightRAG system. + +
+ Code + +```python +def insert_text(rag, file_path): + with open(file_path, mode='r') as f: + unique_contexts = json.load(f) + + retries = 0 + max_retries = 3 + while retries < max_retries: + try: + rag.insert(unique_contexts) + break + except Exception as e: + retries += 1 + print(f"Insertion failed, retrying ({retries}/{max_retries}), error: {e}") + time.sleep(10) + if retries == max_retries: + print("Insertion failed after exceeding the maximum number of retries") +``` +
+ +### Step-2 Generate Queries + +We extract tokens from the first and the second half of each context in the dataset, then combine them as dataset descriptions to generate queries. + +
+ Code + +```python +tokenizer = GPT2Tokenizer.from_pretrained('gpt2') + +def get_summary(context, tot_tokens=2000): + tokens = tokenizer.tokenize(context) + half_tokens = tot_tokens // 2 + + start_tokens = tokens[1000:1000 + half_tokens] + end_tokens = tokens[-(1000 + half_tokens):1000] + + summary_tokens = start_tokens + end_tokens + summary = tokenizer.convert_tokens_to_string(summary_tokens) + + return summary ``` +
+ +### Step-3 Query +For the queries generated in Step-2, we will extract them and query LightRAG. + +
+ Code + +```python +def extract_queries(file_path): + with open(file_path, 'r') as f: + data = f.read() + + data = data.replace('**', '') + + queries = re.findall(r'- Question \d+: (.+)', data) + + return queries +``` +
+ +## Code Structure + +```python +. +├── examples +│ ├── batch_eval.py +│ ├── generate_query.py +│ ├── graph_visual_with_html.py +│ ├── graph_visual_with_neo4j.py +│ ├── lightrag_api_openai_compatible_demo.py +│ ├── lightrag_azure_openai_demo.py +│ ├── lightrag_bedrock_demo.py +│ ├── lightrag_hf_demo.py +│ ├── lightrag_lmdeploy_demo.py +│ ├── lightrag_ollama_demo.py +│ ├── lightrag_openai_compatible_demo.py +│ ├── lightrag_openai_demo.py +│ ├── lightrag_siliconcloud_demo.py +│ └── vram_management_demo.py +├── lightrag +│ ├── __init__.py +│ ├── base.py +│ ├── lightrag.py +│ ├── llm.py +│ ├── operate.py +│ ├── prompt.py +│ ├── storage.py +│ └── utils.py +├── reproduce +│ ├── Step_0.py +│ ├── Step_1_openai_compatible.py +│ ├── Step_1.py +│ ├── Step_2.py +│ ├── Step_3_openai_compatible.py +│ └── Step_3.py +├── .gitignore +├── .pre-commit-config.yaml +├── LICENSE +├── README.md +├── requirements.txt +└── setup.py +``` + +## Star History + + + + + + Star History Chart + + + +## Citation + +```python +@article{guo2024lightrag, +title={LightRAG: Simple and Fast Retrieval-Augmented Generation}, +author={Zirui Guo and Lianghao Xia and Yanhua Yu and Tu Ao and Chao Huang}, +year={2024}, +eprint={2410.05779}, +archivePrefix={arXiv}, +primaryClass={cs.IR} +} +``` + From 24aedf35f23a54fe4c14aecc824abe3340cf4e8d Mon Sep 17 00:00:00 2001 From: Zhenyu Pan <120090196@link.cuhk.edu.cn> Date: Tue, 29 Oct 2024 23:29:47 +0800 Subject: [PATCH 124/258] [hotfix-#163] Fix asynchronous problem --- examples/lightrag_openai_compatible_demo.py | 10 +++++----- 1 file changed, 5 insertions(+), 5 deletions(-) diff --git a/examples/lightrag_openai_compatible_demo.py b/examples/lightrag_openai_compatible_demo.py index 2470fc00..1422e2c2 100644 --- a/examples/lightrag_openai_compatible_demo.py +++ b/examples/lightrag_openai_compatible_demo.py @@ -69,25 +69,25 @@ async def main(): ) with open("./book.txt", "r", encoding="utf-8") as f: - rag.insert(f.read()) + await rag.ainsert(f.read()) # Perform naive search print( - rag.query( + await rag.aquery( "What are the top themes in this story?", param=QueryParam(mode="naive") ) ) # Perform local search print( - rag.query( + await rag.aquery( "What are the top themes in this story?", param=QueryParam(mode="local") ) ) # Perform global search print( - rag.query( + await rag.aquery( "What are the top themes in this story?", param=QueryParam(mode="global"), ) @@ -95,7 +95,7 @@ async def main(): # Perform hybrid search print( - rag.query( + await rag.aquery( "What are the top themes in this story?", param=QueryParam(mode="hybrid"), ) From 9ab7312ecc1e9a5845630103d40383737320933a Mon Sep 17 00:00:00 2001 From: Ken Wiltshire Date: Tue, 29 Oct 2024 15:36:07 -0400 Subject: [PATCH 125/258] edge degree next almost done --- .DS_Store | Bin 0 -> 8196 bytes lightrag/kg/neo4j.py | 374 +- lightrag/lightrag.py | 2 +- lightrag/llm.py | 2 +- neo4jWorkDir/kv_store_full_docs.json | 5 + neo4jWorkDir/kv_store_llm_response_cache.json | 354 + neo4jWorkDir/kv_store_text_chunks.json | 254 + neo4jWorkDir/lightrag.log | 10202 ++++++++++++++++ neo4jWorkDir/vdb_chunks.json | 1 + neo4jWorkDir/vdb_entities.json | 1 + neo4jWorkDir/vdb_relationships.json | 1 + testkg.py | 36 + 12 files changed, 11101 insertions(+), 131 deletions(-) create mode 100644 .DS_Store create mode 100644 neo4jWorkDir/kv_store_full_docs.json create mode 100644 neo4jWorkDir/kv_store_llm_response_cache.json create mode 100644 neo4jWorkDir/kv_store_text_chunks.json create mode 100644 neo4jWorkDir/lightrag.log create mode 100644 neo4jWorkDir/vdb_chunks.json create mode 100644 neo4jWorkDir/vdb_entities.json create mode 100644 neo4jWorkDir/vdb_relationships.json create mode 100644 testkg.py diff --git a/.DS_Store b/.DS_Store new file mode 100644 index 0000000000000000000000000000000000000000..651e36edce1916e150c6c409938c130c393b622b GIT binary patch literal 8196 zcmeHMTWl0n82u@F6llA%T(YtT5LVq5sg_1q+AWq_irwBp*V&zcPMFS=o!MQa zsWvgj#0y@ckD3@0AB+-sFd-TrOuXQW8YD!c4@P-1QC>9aoBugymP-o{B*sgalbrLP z|28xKKi_}Oo>>6E?y}hi5CZ^}I;Ywq8m`f}p7(i82_^MJk^BKHaKSHB{i%X8&pHxB z8Hh3vWgyBxlz}J%|Ah?Dp3R$joqb15pO%XMmSa1DIe#5e{E@e)kHbIbE1?Y(Ge+&!bXTzhGg5+Mq5{AIeR5 z)m&f%Wxv}f?dRN}=Q)Mi+$ap&RyD6J@A2HguwAPp9Bk7flLI5RYkJjguk4z>@Xbku z%2bxuV$;)`+B#E-dp4zKQin~Z>3UDgKrmbkpm9!M&&-d? z@hd$AheuV{Qj6;AT2zcJ(uYSz$MTw1_N@WSF#@|{WsSh{^V$-h0^C{j+IK?sLo_ML0Ib&1x*ma%cliyPPnZL2h9_(jV#ZTHYn)i#5Pk&5lx z1;-k6jY*3&VUC?^X^l1NaeZY?B@Hh-s#;PVEf?$~WjlCO++($#UJ0dxE>NV}a<4Tc`gx;^JWBh{KP17>ZHMYiD9vslgL$lqAO&F$EAfc?C zRaG^a*&v}LGMmh#CAWMIzW8pXLkhOS4j8A(aiI#&!gFvOUWGT|6ub`~!e{U~d;w?S zEBFpBz)$ci{06_nABcDhwqgw9xB_p-G`3+oc3}p$V-IF=FAiW1hj1A4XyHMeKpRVV z45x7hAH%2c1$+@-##it)d5BMWqz@PCKyoi4)iqfpKDltV@ z;!09kuh7>%-jrI+j7z>YD%~`jvl39v(3d=3Gs=-`)l7WH1AROHm74ixv8a-z%a%8< zPOiVRy`w902~84yHN;(sV*%c)ATPix-t`>Raro$QwsKXio-S9CtgInIy>(RO(A643 z>)Y0-gnDg3$gW*S>~3wLWaArCDpi=K2$sduZH($js|(qUn~6oqu+A-vDoU#l*{$0c zFLDh8ACLEB=}Kp`zX7hV!&`6?PQyn8*Yof#d=D21qCgPUutmUh1+K!ixDMCj229~* z?7(}mlK`8=Ufh9wxQpOANPr!|F)UyaO#-clQ+Nb@EE8lO$60&=pTy(%Jc0M65WH{T z+Y)$};JB*>L`m_3`Eab{O0MI%he%Tc@zqWdcS9Mdlh!eQ{_nm1_x~HZW@H>?Aj-i1 zD+5@c&1L!af4x;zAzgy{Bh-20cC(TS7aF(;my6>#(Mx|A(mWCBG9jInlr+@-@ecvf R{(r^K)oA}0AiN2OzW_aM8~y+Q literal 0 HcmV?d00001 diff --git a/lightrag/kg/neo4j.py b/lightrag/kg/neo4j.py index 7205d9dc..374d9352 100644 --- a/lightrag/kg/neo4j.py +++ b/lightrag/kg/neo4j.py @@ -5,6 +5,8 @@ from typing import Any, Union, cast import numpy as np from nano_vectordb import NanoVectorDB +import inspect + @@ -26,14 +28,12 @@ @dataclass class GraphStorage(BaseGraphStorage): @staticmethod - # def load_nx_graph(file_name) -> nx.Graph: - # if os.path.exists(file_name): - # return nx.read_graphml(file_name) - # return None + def load_nx_graph(file_name): + print ("no preloading of graph with neo4j in production") def __post_init__(self): # self._graph = preloaded_graph or nx.Graph() - self._driver = GraphDatabase.driver(URI, auth=(USERNAME, PASSWORD)) + self._driver = GraphDatabase.driver("neo4j+s://91fbae6c.databases.neo4j.io", auth=("neo4j", "KWKPXfXcClDbUlmDdGgIQhU5mL1N4E_2CJp2BDFbEbw")) self._node_embed_algorithms = { "node2vec": self._node2vec_embed, } @@ -41,79 +41,111 @@ def __post_init__(self): async def index_done_callback(self): print ("KG successfully indexed.") async def has_node(self, node_id: str) -> bool: - entity_name_label = node_id - with self._driver.session() as session: - return session.read_transaction(self._check_node_exists, entity_name_label) + entity_name_label = node_id.strip('\"') - @staticmethod def _check_node_exists(tx, label): - query = f"MATCH (n:{label}) RETURN count(n) > 0 AS node_exists" + query = f"MATCH (n:`{label}`) RETURN count(n) > 0 AS node_exists" result = tx.run(query) - return result.single()["node_exists"] + single_result = result.single() + logger.info( + f'{inspect.currentframe().f_code.co_name}:query:{query}:result:{single_result["node_exists"]}' + ) + + return single_result["node_exists"] - async def has_edge(self, source_node_id: str, target_node_id: str) -> bool: - entity_name_label_source = source_node_id - entity_name_label_target = target_node_id - #hard code relaitionship type with self._driver.session() as session: - result = session.read_transaction(self._check_edge_existence, entity_name_label_source, entity_name_label_target) - return result + return session.read_transaction(_check_node_exists, entity_name_label) + + + async def has_edge(self, source_node_id: str, target_node_id: str) -> bool: + entity_name_label_source = source_node_id.strip('\"') + entity_name_label_target = target_node_id.strip('\"') + - @staticmethod def _check_edge_existence(tx, label1, label2): query = ( - f"MATCH (a:{label1})-[r]-(b:{label2}) " + f"MATCH (a:`{label1}`)-[r]-(b:`{label2}`) " "RETURN COUNT(r) > 0 AS edgeExists" ) result = tx.run(query) - return result.single()["edgeExists"] + single_result = result.single() + # if result.single() == None: + # print (f"this should not happen: ---- {label1}/{label2} {query}") + + logger.info( + f'{inspect.currentframe().f_code.co_name}:query:{query}:result:{single_result["edgeExists"]}' + ) + + return single_result["edgeExists"] def close(self): - self._driver.close() + self._driver.close() + #hard code relaitionship type + with self._driver.session() as session: + result = session.read_transaction(_check_edge_existence, entity_name_label_source, entity_name_label_target) + return result async def get_node(self, node_id: str) -> Union[dict, None]: - entity_name_label = node_id + entity_name_label = node_id.strip('\"') with self._driver.session() as session: - result = session.run("MATCH (n:{entity_name_label}) RETURN n".format(entity_name_label=entity_name_label)) + query = "MATCH (n:`{entity_name_label}`) RETURN n".format(entity_name_label=entity_name_label) + result = session.run(query) for record in result: - return record["n"] + result = record["n"] + logger.info( + f'{inspect.currentframe().f_code.co_name}:query:{query}:result:{result}' + ) + return result async def node_degree(self, node_id: str) -> int: - entity_name_label = node_id - with self._driver.session() as session: - degree = self._find_node_degree(session, entity_name_label) - return degree + entity_name_label = node_id.strip('\"') + - @staticmethod def _find_node_degree(session, label): with session.begin_transaction() as tx: - result = tx.run("MATCH (n:`{label}`) RETURN n, size((n)--()) AS degree".format(label=label)) + # query = "MATCH (n:`{label}`) RETURN n, size((n)--()) AS degree".format(label=label) + query = f""" + MATCH (n:`{label}`) + RETURN COUNT{{ (n)--() }} AS totalEdgeCount + """ + result = tx.run(query) record = result.single() - if record: - return record["degree"] + if record: + edge_count = record["totalEdgeCount"] + logger.info( + f'{inspect.currentframe().f_code.co_name}:query:{query}:result:{edge_count}' + ) + return edge_count else: return None + + with self._driver.session() as session: + degree = _find_node_degree(session, entity_name_label) + return degree # degree = session.read_transaction(get_edge_degree, 1, 2) async def edge_degree(self, src_id: str, tgt_id: str) -> int: - entity_name__label_source = src_id - entity_name_label_target = tgt_id + entity_name__label_source = src_id.strip('\"') + entity_name_label_target = tgt_id.strip('\"') with self._driver.session() as session: - result = session.run( - """MATCH (n1:{node_label1})-[r]-(n2:{node_label2}) - RETURN count(r) AS degree""" - .format(entity_name__label_source=entity_name__label_source, entity_name_label_target=entity_name_label_target) - ) - record = result.single() + query = """MATCH (n1:`{node_label1}`)-[r]-(n2:`{node_label2}`) + RETURN count(r) AS degree""".format(entity_name__label_source=entity_name__label_source, + entity_name_label_target=entity_name_label_target) + + result = session.run(query) + record = result.single() + logger.info( + f'{inspect.currentframe().f_code.co_name}:query:{query}:result:{record["degree"]}' + ) return record["degree"] async def get_edge(self, source_node_id: str, target_node_id: str) -> Union[dict, None]: - entity_name__label_source = source_node_id - entity_name_label_target = target_node_id + entity_name__label_source = source_node_id.strip('\"') + entity_name_label_target = target_node_id.strip('\"') """ Find all edges between nodes of two given labels @@ -126,17 +158,109 @@ async def get_edge(self, source_node_id: str, target_node_id: str) -> Union[dict """ with self._driver.session() as session: query = f""" - MATCH (source:{entity_name__label_source})-[r]-(target:{entity_name_label_target}) + MATCH (source:`{entity_name__label_source}`)-[r]-(target:`{entity_name_label_target}`) RETURN r """ result = session.run(query) + for logrecord in result: + logger.info( + f'{inspect.currentframe().f_code.co_name}:query:{query}:result:{logrecord["r"]}' + ) + + return [record["r"] for record in result] + + + + async def get_node_edges(self, source_node_id: str): + if self._graph.has_node(source_node_id): + return list(self._graph.edges(source_node_id)) + return None + + async def get_node_edges(self, source_node_id: str): + node_label = source_node_id.strip('\"') + + """ + Retrieves all edges (relationships) for a particular node identified by its label and ID. + + :param uri: Neo4j database URI + :param username: Neo4j username + :param password: Neo4j password + :param node_label: Label of the node + :param node_id: ID property of the node + :return: List of dictionaries containing edge information + """ + + def fetch_edges(tx, label): + query = f"""MATCH (n:`{label}`) + OPTIONAL MATCH (n)-[r]-(connected) + RETURN n, r, connected""" + + results = tx.run(query) + + edges = [] + for record in results: + source_node = record['n'] + connected_node = record['connected'] + + source_label = list(source_node.labels)[0] if source_node.labels else None + target_label = list(connected_node.labels)[0] if connected_node and connected_node.labels else None + + if source_label and target_label: + print (f"appending: {[source_label, target_label]}") + edges.append([source_label, target_label]) + + return edges + + with self._driver.session() as session: + edges = session.read_transaction(fetch_edges,node_label) + return edges + + + # try: + # with self._driver.session() as session: + # if self.has_node(node_label): + # edges = session.read_transaction(fetch_edges,node_label) + # return list(edges) + # return edges + # finally: + # print ("consider closign driver here") + # # driver.close() + + from typing import List, Tuple + async def get_node_connections(driver: GraphDatabase.driver, label: str) -> List[Tuple[str, str]]: + def run_query(tx): + query = f""" + MATCH (n:`{label}`) + OPTIONAL MATCH (n)-[r]-(connected) + RETURN n, r, connected + """ + results = tx.run(query) + + connections = [] + for record in results: + source_node = record['n'] + connected_node = record['connected'] + + source_label = list(source_node.labels)[0] if source_node.labels else None + target_label = list(connected_node.labels)[0] if connected_node and connected_node.labels else None + + if source_label and target_label: + connections.append((source_label, target_label)) + + return connections + with driver.session() as session: + return session.read_transaction(run_query) -#upsert_node + + + + + #upsert_node async def upsert_node(self, node_id: str, node_data: dict[str, str]): - label = node_id + label = node_id.strip('\"') properties = node_data """ Upsert a node with the given label and properties within a transaction. @@ -152,21 +276,9 @@ async def upsert_node(self, node_id: str, node_data: dict[str, str]): Returns: Dictionary containing the node's properties after upsert, or None if operation fails """ - with self._driver.session() as session: - # Execute the upsert within a transaction - result = session.execute_write( - self._do_upsert, - label, - properties - ) - return result - + def _do_upsert(tx, label: str, properties: dict[str, Any]): - @staticmethod - def _do_upsert(tx: Transaction, label: str, properties: Dict[str, Any]): - """ - Static method to perform the actual upsert operation within a transaction - + """ Args: tx: Neo4j transaction object label: The node label to search for and apply @@ -175,44 +287,39 @@ def _do_upsert(tx: Transaction, label: str, properties: Dict[str, Any]): Returns: Dictionary containing the node's properties after upsert, or None if operation fails """ - # Create the dynamic property string for SET clause - property_string = ", ".join([ - f"n.{key} = ${key}" - for key in properties.keys() - ]) - - # Cypher query that either matches existing node or creates new one + query = f""" - MATCH (n:{label}) - WITH n LIMIT 1 - CALL {{ - WITH n - WHERE n IS NOT NULL - SET {property_string} - RETURN n - UNION - WITH n - WHERE n IS NULL - CREATE (n:{label}) - SET {property_string} - RETURN n - }} + MERGE (n:`{label}`) + SET n += $properties RETURN n """ - - # Execute the query with properties as parameters - result = tx.run(query, properties) - record = result.single() - - if record: - return dict(record["n"]) - return None - - + # Execute the query with properties as parameters + # with session.begin_transaction() as tx: + result = tx.run(query, properties=properties) + record = result.single() + if record: + logger.info( + f'{inspect.currentframe().f_code.co_name}:query:{query}:result:{dict(record["n"])}' + ) + return dict(record["n"]) + return None + + + with self._driver.session() as session: + with session.begin_transaction() as tx: + try: + result = _do_upsert(tx,label,properties) + tx.commit() + return result + except Exception as e: + raise # roll back + + async def upsert_edge(self, source_node_id: str, target_node_id: str, edge_data: dict[str, str]) -> None: - source_node_label = source_node_id - target_node_label = target_node_id + source_node_label = source_node_id.strip('\"') + target_node_label = target_node_id.strip('\"') + edge_properties = edge_data """ Upsert an edge and its properties between two nodes identified by their labels. @@ -221,16 +328,10 @@ async def upsert_edge(self, source_node_id: str, target_node_id: str, edge_data: target_node_label (str): Label of the target node (used as identifier) edge_properties (dict): Dictionary of properties to set on the edge """ - with self._driver.session() as session: - session.execute_write( - self._do_upsert_edge, - source_node_label, - target_node_label, - edge_data - ) + - @staticmethod - def _do_upsert_edge(tx, source_node_label: str, target_node_label: str, edge_properties: Dict[str, Any]) -> None: + + def _do_upsert_edge(tx, source_node_label: str, target_node_label: str, edge_properties: dict[str, Any]) -> None: """ Static method to perform the edge upsert within a transaction. @@ -240,43 +341,58 @@ def _do_upsert_edge(tx, source_node_label: str, target_node_label: str, edge_pro 3. Set all properties on the relationship, updating existing ones and adding new ones """ # Convert edge properties to Cypher parameter string - props_string = ", ".join(f"r.{key} = ${key}" for key in edge_properties.keys()) - - query = """ - MATCH (source) - WHERE source.label = $source_node_label - MATCH (target) - WHERE target.label = $target_node_label + # props_string = ", ".join(f"r.{key} = ${key}" for key in edge_properties.keys()) + + # """.format(props_string) + query = f""" + MATCH (source:`{source_node_label}`) + WITH source + MATCH (target:`{target_node_label}`) MERGE (source)-[r:DIRECTED]->(target) - SET {} - """.format(props_string) - - # Prepare parameters dictionary - params = { - "source_node_label": source_node_label, - "target_node_label": target_node_label, - **edge_properties - } - - # Execute the query - tx.run(query, params) + SET r += $properties + RETURN r + """ + result = tx.run(query, properties=edge_properties) + logger.info( + f'{inspect.currentframe().f_code.co_name}:query:{query}:result:{None}' + ) + return result.single() + + with self._driver.session() as session: + session.execute_write( + _do_upsert_edge, + source_node_label, + target_node_label, + edge_properties + ) + # return result async def _node2vec_embed(self): # async def _node2vec_embed(self): with self._driver.session() as session: #Define the Cypher query options = self.global_config["node2vec_params"] - query = f"""CALL gds.node2vec.stream('myGraph', {options}) # **options - YIELD nodeId, embedding - RETURN nodeId, embedding""" + logger.info(f"building embeddings with options {options}") + query = f"""CALL gds.node2vec.write('91fbae6c', { + options + }) + YIELD nodeId, labels, embedding + RETURN + nodeId AS id, + labels[0] AS distinctLabel, + embedding AS nodeToVecEmbedding + """ # Run the query and process the results results = session.run(query) + embeddings = [] + node_labels = [] for record in results: - node_id = record["nodeId"] - embedding = record["embedding"] - print(f"Node ID: {node_id}, Embedding: {embedding}") - #need to return two lists here. - - + node_id = record["id"] + embedding = record["nodeToVecEmbedding"] + label = record["distinctLabel"] + print(f"Node id/label: {label}/{node_id}, Embedding: {embedding}") + embeddings.append(embedding) + node_labels.append(label) + return embeddings, node_labels diff --git a/lightrag/lightrag.py b/lightrag/lightrag.py index 28a4af19..61e4e7a2 100644 --- a/lightrag/lightrag.py +++ b/lightrag/lightrag.py @@ -103,7 +103,7 @@ class LightRAG: # module = importlib.import_module('kg.neo4j') # Neo4JStorage = getattr(module, 'GraphStorage') - if True==False: + if True==True: graph_storage_cls: Type[BaseGraphStorage] = Neo4JStorage else: graph_storage_cls: Type[BaseGraphStorage] = NetworkXStorage diff --git a/lightrag/llm.py b/lightrag/llm.py index 208b22a5..9baa6997 100644 --- a/lightrag/llm.py +++ b/lightrag/llm.py @@ -73,7 +73,7 @@ async def openai_complete_if_cache( @retry( stop=stop_after_attempt(3), #kw_ - wait=wait_exponential(multiplier=1, min=4, max=60), + wait=wait_exponential(multiplier=1, min=10, max=60), # wait=wait_exponential(multiplier=1, min=4, max=10), retry=retry_if_exception_type((RateLimitError, APIConnectionError, Timeout)), ) diff --git a/neo4jWorkDir/kv_store_full_docs.json b/neo4jWorkDir/kv_store_full_docs.json new file mode 100644 index 00000000..eff31337 --- /dev/null +++ b/neo4jWorkDir/kv_store_full_docs.json @@ -0,0 +1,5 @@ +{ + "doc-addb4618e1697da0445ec72a648e1f92": { + "content": "The Project Gutenberg eBook of A Christmas Carol\n \nThis ebook is for the use of anyone anywhere in the United States and\nmost other parts of the world at no cost and with almost no restrictions\nwhatsoever. You may copy it, give it away or re-use it under the terms\nof the Project Gutenberg License included with this ebook or online\nat www.gutenberg.org. If you are not located in the United States,\nyou will have to check the laws of the country where you are located\nbefore using this eBook.\n\nTitle: A Christmas Carol\n\nAuthor: Charles Dickens\n\nIllustrator: Arthur Rackham\n\nRelease date: December 24, 2007 [eBook #24022]\n\nLanguage: English\n\nOriginal publication: Philadelphia and New York: J. B. Lippincott Company,, 1915\n\nCredits: Produced by Suzanne Shell, Janet Blenkinship and the Online\n Distributed Proofreading Team at http://www.pgdp.net\n\n\n*** START OF THE PROJECT GUTENBERG EBOOK A CHRISTMAS CAROL ***\n\n\n\n\nProduced by Suzanne Shell, Janet Blenkinship and the Online\nDistributed Proofreading Team at http://www.pgdp.net\n\n\n\n\n\n\n\n\n\n\n\n A CHRISTMAS CAROL\n\n [Illustration: _\"How now?\" said Scrooge, caustic and cold as ever.\n \"What do you want with me?\"_]\n\n\n A CHRISTMAS CAROL\n\n [Illustration]\n\n BY\n\n CHARLES DICKENS\n\n [Illustration]\n\n ILLUSTRATED BY ARTHUR RACKHAM\n\n [Illustration]\n\n J. B. LIPPINCOTT COMPANY PHILADELPHIA AND NEW YORK\n\n FIRST PUBLISHED 1915\n\n REPRINTED 1923, 1927, 1932, 1933, 1934, 1935, 1947, 1948, 1952, 1958,\n 1962, 1964, 1966, 1967, 1969, 1971, 1972, 1973\n\n ISBN: 0-397-00033-2\n\n PRINTED IN GREAT BRITAIN\n\n\n\n\n PREFACE\n\n I have endeavoured in this Ghostly little book to raise the Ghost of an\n Idea which shall not put my readers out of humour with themselves, with\n each other, with the season, or with me. May it haunt their house\n pleasantly, and no one wish to lay it.\n\n Their faithful Friend and Servant,\n\n C. D.\n\n _December, 1843._\n\n\n\n\n CHARACTERS\n\n Bob Cratchit, clerk to Ebenezer Scrooge.\n Peter Cratchit, a son of the preceding.\n Tim Cratchit (\"Tiny Tim\"), a cripple, youngest son of Bob Cratchit.\n Mr. Fezziwig, a kind-hearted, jovial old merchant.\n Fred, Scrooge's nephew.\n Ghost of Christmas Past, a phantom showing things past.\n Ghost of Christmas Present, a spirit of a kind, generous,\n and hearty nature.\n Ghost of Christmas Yet to Come, an apparition showing the shadows\n of things which yet may happen.\n Ghost of Jacob Marley, a spectre of Scrooge's former partner in business.\n Joe, a marine-store dealer and receiver of stolen goods.\n Ebenezer Scrooge, a grasping, covetous old man, the surviving partner\n of the firm of Scrooge and Marley.\n Mr. Topper, a bachelor.\n Dick Wilkins, a fellow apprentice of Scrooge's.\n\n Belle, a comely matron, an old sweetheart of Scrooge's.\n Caroline, wife of one of Scrooge's debtors.\n Mrs. Cratchit, wife of Bob Cratchit.\n Belinda and Martha Cratchit, daughters of the preceding.\n\n Mrs. Dilber, a laundress.\n Fan, the sister of Scrooge.\n Mrs. Fezziwig, the worthy partner of Mr. Fezziwig.\n\n\n\n\n CONTENTS\n\n STAVE ONE--MARLEY'S GHOST 3\n STAVE TWO--THE FIRST OF THE THREE SPIRITS 37\n STAVE THREE--THE SECOND OF THE THREE SPIRITS 69\n STAVE FOUR--THE LAST OF THE SPIRITS 111\n STAVE FIVE--THE END OF IT 137\n\n\n LIST OF ILLUSTRATIONS\n\n _IN COLOUR_\n\n\n \"How now?\" said Scrooge, caustic\n and cold as ever. \"What do you\n want with me?\" _Frontispiece_\n\n Bob Cratchit went down a slide on\n Cornhill, at the end of a lane of\n boys, twenty times, in honour of\n its being Christmas Eve 16\n\n Nobody under the bed; nobody in\n the closet; nobody in his dressing-gown,\n which was hanging up\n in a suspicious attitude against\n the wall 20\n\n The air was filled with phantoms,\n wandering hither and thither in\n restless haste and moaning as\n they went 32\n\n Then old Fezziwig stood out to\n dance with Mrs. Fezziwig 54\n\n A flushed and boisterous group 62\n\n Laden with Christmas toys and\n presents 64\n\n The way he went after that plump\n sister in the lace tucker! 100\n\n \"How are you?\" said one.\n \"How are you?\" returned the other.\n \"Well!\" said the first. \"Old\n Scratch has got his own at last,\n hey?\" 114\n\n \"What do you call this?\" said Joe.\n \"Bed-curtains!\" \"Ah!\" returned\n the woman, laughing....\n \"Bed-curtains!\"\n\n \"You don't mean to say you took\n 'em down, rings and all, with him\n lying there?\" said Joe.\n\n \"Yes, I do,\" replied the woman.\n \"Why not?\" 120\n\n \"It's I, your uncle Scrooge. I have\n come to dinner. Will you let\n me in, Fred?\" 144\n\n \"Now, I'll tell you what, my friend,\"\n said Scrooge. \"I am not going\n to stand this sort of thing any\n longer.\" 146\n\n[Illustration]\n\n_IN BLACK AND WHITE_\n\n\n Tailpiece vi\n Tailpiece to List of Coloured Illustrations x\n Tailpiece to List of Black and White Illustrations xi\n Heading to Stave One 3\n They were portly gentlemen, pleasant to behold 12\n On the wings of the wind 28-29\n Tailpiece to Stave One 34\n Heading to Stave Two 37\n He produced a decanter of curiously\n light wine and a block of curiously heavy cake 50\n She left him, and they parted 60\n Tailpiece to Stave Two 65\n Heading to Stave Three 69\n There was nothing very cheerful in the climate 75\n He had been Tim's blood-horse all the way from church 84-85\n With the pudding 88\n Heading to Stave Four 111\n Heading to Stave Five 137\n Tailpiece to Stave Five 147\n\n[Illustration]\n\n\nSTAVE ONE\n\n\n[Illustration]\n\n\n\n\nMARLEY'S GHOST\n\n\nMarley was dead, to begin with. There is no doubt whatever about that.\nThe register of his burial was signed by the clergyman, the clerk, the\nundertaker, and the chief mourner. Scrooge signed it. And Scrooge's name\nwas good upon 'Change for anything he chose to put his hand to. Old\nMarley was as dead as a door-nail.\n\nMind! I don't mean to say that I know of my own knowledge, what there is\nparticularly dead about a door-nail. I might have been inclined, myself,\nto regard a coffin-nail as the deadest piece of ironmongery in the\ntrade. But the wisdom of our ancestors is in the simile; and my\nunhallowed hands shall not disturb it, or the country's done for. You\nwill, therefore, permit me to repeat, emphatically, that Marley was as\ndead as a door-nail.\n\nScrooge knew he was dead? Of course he did. How could it be otherwise?\nScrooge and he were partners for I don't know how many years. Scrooge\nwas his sole executor, his sole administrator, his sole assign, his sole\nresiduary legatee, his sole friend, and sole mourner. And even Scrooge\nwas not so dreadfully cut up by the sad event but that he was an\nexcellent man of business on the very day of the funeral, and solemnised\nit with an undoubted bargain.\n\nThe mention of Marley's funeral brings me back to the point I started\nfrom. There is no doubt that Marley was dead. This must be distinctly\nunderstood, or nothing wonderful can come of the story I am going to\nrelate. If we were not perfectly convinced that Hamlet's father died\nbefore the play began, there would be nothing more remarkable in his\ntaking a stroll at night, in an easterly wind, upon his own ramparts,\nthan there would be in any other middle-aged gentleman rashly turning\nout after dark in a breezy spot--say St. Paul's Churchyard, for\ninstance--literally to astonish his son's weak mind.\n\nScrooge never painted out Old Marley's name. There it stood, years\nafterwards, above the warehouse door: Scrooge and Marley. The firm was\nknown as Scrooge and Marley. Sometimes people new to the business called\nScrooge Scrooge, and sometimes Marley, but he answered to both names. It\nwas all the same to him.\n\nOh! but he was a tight-fisted hand at the grindstone, Scrooge! a\nsqueezing, wrenching, grasping, scraping, clutching, covetous old\nsinner! Hard and sharp as flint, from which no steel had ever struck out\ngenerous fire; secret, and self-contained, and solitary as an oyster.\nThe cold within him froze his old features, nipped his pointed nose,\nshrivelled his cheek, stiffened his gait; made his eyes red, his thin\nlips blue; and spoke out shrewdly in his grating voice. A frosty rime\nwas on his head, and on his eyebrows, and his wiry chin. He carried his\nown low temperature always about with him; he iced his office in the\ndog-days, and didn't thaw it one degree at Christmas.\n\nExternal heat and cold had little influence on Scrooge. No warmth could\nwarm, no wintry weather chill him. No wind that blew was bitterer than\nhe, no falling snow was more intent upon its purpose, no pelting rain\nless open to entreaty. Foul weather didn't know where to have him. The\nheaviest rain, and snow, and hail, and sleet could boast of the\nadvantage over him in only one respect. They often 'came down'\nhandsomely, and Scrooge never did.\n\nNobody ever stopped him in the street to say, with gladsome looks, 'My\ndear Scrooge, how are you? When will you come to see me?' No beggars\nimplored him to bestow a trifle, no children asked him what it was\no'clock, no man or woman ever once in all his life inquired the way to\nsuch and such a place, of Scrooge. Even the blind men's dogs appeared to\nknow him; and, when they saw him coming on, would tug their owners into\ndoorways and up courts; and then would wag their tails as though they\nsaid, 'No eye at all is better than an evil eye, dark master!'\n\nBut what did Scrooge care? It was the very thing he liked. To edge his\nway along the crowded paths of life, warning all human sympathy to keep\nits distance, was what the knowing ones call 'nuts' to Scrooge.\n\nOnce upon a time--of all the good days in the year, on Christmas\nEve--old Scrooge sat busy in his counting-house. It was cold, bleak,\nbiting weather; foggy withal; and he could hear the people in the court\noutside go wheezing up and down, beating their hands upon their breasts,\nand stamping their feet upon the pavement stones to warm them. The City\nclocks had only just gone three, but it was quite dark already--it had\nnot been light all day--and candles were flaring in the windows of the\nneighbouring offices, like ruddy smears upon the palpable brown air. The\nfog came pouring in at every chink and keyhole, and was so dense\nwithout, that, although the court was of the narrowest, the houses\nopposite were mere phantoms. To see the dingy cloud come drooping down,\nobscuring everything, one might have thought that nature lived hard by,\nand was brewing on a large scale.\n\nThe door of Scrooge's counting-house was open, that he might keep his\neye upon his clerk, who in a dismal little cell beyond, a sort of tank,\nwas copying letters. Scrooge had a very small fire, but the clerk's fire\nwas so very much smaller that it looked like one coal. But he couldn't\nreplenish it, for Scrooge kept the coal-box in his own room; and so\nsurely as the clerk came in with the shovel, the master predicted that\nit would be necessary for them to part. Wherefore the clerk put on his\nwhite comforter, and tried to warm himself at the candle; in which\neffort, not being a man of strong imagination, he failed.\n\n'A merry Christmas, uncle! God save you!' cried a cheerful voice. It was\nthe voice of Scrooge's nephew, who came upon him so quickly that this\nwas the first intimation he had of his approach.\n\n'Bah!' said Scrooge. 'Humbug!'\n\nHe had so heated himself with rapid walking in the fog and frost, this\nnephew of Scrooge's, that he was all in a glow; his face was ruddy and\nhandsome; his eyes sparkled, and his breath smoked again.\n\n'Christmas a humbug, uncle!' said Scrooge's nephew. 'You don't mean\nthat, I am sure?'\n\n'I do,' said Scrooge. 'Merry Christmas! What right have you to be merry?\nWhat reason have you to be merry? You're poor enough.'\n\n'Come, then,' returned the nephew gaily. 'What right have you to be\ndismal? What reason have you to be morose? You're rich enough.'\n\nScrooge, having no better answer ready on the spur of the moment, said,\n'Bah!' again; and followed it up with 'Humbug!'\n\n'Don't be cross, uncle!' said the nephew.\n\n'What else can I be,' returned the uncle, 'when I live in such a world\nof fools as this? Merry Christmas! Out upon merry Christmas! What's\nChristmas-time to you but a time for paying bills without money; a time\nfor finding yourself a year older, and not an hour richer; a time for\nbalancing your books, and having every item in 'em through a round dozen\nof months presented dead against you? If I could work my will,' said\nScrooge indignantly, 'every idiot who goes about with \"Merry Christmas\"\non his lips should be boiled with his own pudding, and buried with a\nstake of holly through his heart. He should!'\n\n'Uncle!' pleaded the nephew.\n\n'Nephew!' returned the uncle sternly, 'keep Christmas in your own way,\nand let me keep it in mine.'\n\n'Keep it!' repeated Scrooge's nephew. 'But you don't keep it.'\n\n'Let me leave it alone, then,' said Scrooge. 'Much good may it do you!\nMuch good it has ever done you!'\n\n'There are many things from which I might have derived good, by which I\nhave not profited, I dare say,' returned the nephew; 'Christmas among\nthe rest. But I am sure I have always thought of Christmas-time, when\nit has come round--apart from the veneration due to its sacred name and\norigin, if anything belonging to it can be apart from that--as a good\ntime; a kind, forgiving, charitable, pleasant time; the only time I know\nof, in the long calendar of the year, when men and women seem by one\nconsent to open their shut-up hearts freely, and to think of people\nbelow them as if they really were fellow-passengers to the grave, and\nnot another race of creatures bound on other journeys. And therefore,\nuncle, though it has never put a scrap of gold or silver in my pocket, I\nbelieve that it _has_ done me good and _will_ do me good; and I say, God\nbless it!'\n\nThe clerk in the tank involuntarily applauded. Becoming immediately\nsensible of the impropriety, he poked the fire, and extinguished the\nlast frail spark for ever.\n\n'Let me hear another sound from _you_,' said Scrooge, 'and you'll keep\nyour Christmas by losing your situation! You're quite a powerful\nspeaker, sir,' he added, turning to his nephew. 'I wonder you don't go\ninto Parliament.'\n\n'Don't be angry, uncle. Come! Dine with us to-morrow.'\n\nScrooge said that he would see him----Yes, indeed he did. He went the\nwhole length of the expression, and said that he would see him in that\nextremity first.\n\n'But why?' cried Scrooge's nephew. 'Why?'\n\n'Why did you get married?' said Scrooge.\n\n'Because I fell in love.'\n\n'Because you fell in love!' growled Scrooge, as if that were the only\none thing in the world more ridiculous than a merry Christmas. 'Good\nafternoon!'\n\n'Nay, uncle, but you never came to see me before that happened. Why give\nit as a reason for not coming now?'\n\n'Good afternoon,' said Scrooge.\n\n'I want nothing from you; I ask nothing of you; why cannot we be\nfriends?'\n\n'Good afternoon!' said Scrooge.\n\n'I am sorry, with all my heart, to find you so resolute. We have never\nhad any quarrel to which I have been a party. But I have made the trial\nin homage to Christmas, and I'll keep my Christmas humour to the last.\nSo A Merry Christmas, uncle!'\n\n'Good afternoon,' said Scrooge.\n\n'And A Happy New Year!'\n\n'Good afternoon!' said Scrooge.\n\nHis nephew left the room without an angry word, notwithstanding. He\nstopped at the outer door to bestow the greetings of the season on the\nclerk, who, cold as he was, was warmer than Scrooge; for he returned\nthem cordially.\n\n'There's another fellow,' muttered Scrooge, who overheard him: 'my\nclerk, with fifteen shillings a week, and a wife and family, talking\nabout a merry Christmas. I'll retire to Bedlam.'\n\nThis lunatic, in letting Scrooge's nephew out, had let two other people\nin. They were portly gentlemen, pleasant to behold, and now stood, with\ntheir hats off, in Scrooge's office. They had books and papers in their\nhands, and bowed to him.\n\n'Scrooge and Marley's, I believe,' said one of the gentlemen, referring\nto his list. 'Have I the pleasure of addressing Mr. Scrooge, or Mr.\nMarley?'\n\n'Mr. Marley has been dead these seven years,' Scrooge replied. 'He died\nseven years ago, this very night.'\n\n'We have no doubt his liberality is well represented by his surviving\npartner,' said the gentleman, presenting his credentials.\n\n[Illustration: THEY WERE PORTLY GENTLEMEN, PLEASANT TO BEHOLD]\n\nIt certainly was; for they had been two kindred spirits. At the ominous\nword 'liberality' Scrooge frowned, and shook his head, and handed the\ncredentials back.\n\n'At this festive season of the year, Mr. Scrooge,' said the gentleman,\ntaking up a pen, 'it is more than usually desirable that we should make\nsome slight provision for the poor and destitute, who suffer greatly at\nthe present time. Many thousands are in want of common necessaries;\nhundreds of thousands are in want of common comforts, sir.'\n\n'Are there no prisons?' asked Scrooge.\n\n'Plenty of prisons,' said the gentleman, laying down the pen again.\n\n'And the Union workhouses?' demanded Scrooge. 'Are they still in\noperation?'\n\n'They are. Still,' returned the gentleman, 'I wish I could say they were\nnot.'\n\n'The Treadmill and the Poor Law are in full vigour, then?' said Scrooge.\n\n'Both very busy, sir.'\n\n'Oh! I was afraid, from what you said at first, that something had\noccurred to stop them in their useful course,' said Scrooge. 'I am very\nglad to hear it.'\n\n'Under the impression that they scarcely furnish Christian cheer of mind\nor body to the multitude,' returned the gentleman, 'a few of us are\nendeavouring to raise a fund to buy the Poor some meat and drink, and\nmeans of warmth. We choose this time, because it is a time, of all\nothers, when Want is keenly felt, and Abundance rejoices. What shall I\nput you down for?'\n\n'Nothing!' Scrooge replied.\n\n'You wish to be anonymous?'\n\n'I wish to be left alone,' said Scrooge. 'Since you ask me what I wish,\ngentlemen, that is my answer. I don't make merry myself at Christmas,\nand I can't afford to make idle people merry. I help to support the\nestablishments I have mentioned--they cost enough: and those who are\nbadly off must go there.'\n\n'Many can't go there; and many would rather die.'\n\n'If they would rather die,' said Scrooge, 'they had better do it, and\ndecrease the surplus population. Besides--excuse me--I don't know that.'\n\n'But you might know it,' observed the gentleman.\n\n'It's not my business,' Scrooge returned. 'It's enough for a man to\nunderstand his own business, and not to interfere with other people's.\nMine occupies me constantly. Good afternoon, gentlemen!'\n\nSeeing clearly that it would be useless to pursue their point, the\ngentlemen withdrew. Scrooge resumed his labours with an improved opinion\nof himself, and in a more facetious temper than was usual with him.\n\nMeanwhile the fog and darkness thickened so, that people ran about with\nflaring links, proffering their services to go before horses in\ncarriages, and conduct them on their way. The ancient tower of a church,\nwhose gruff old bell was always peeping slyly down at Scrooge out of a\nGothic window in the wall, became invisible, and struck the hours and\nquarters in the clouds, with tremulous vibrations afterwards, as if its\nteeth were chattering in its frozen head up there. The cold became\nintense. In the main street, at the corner of the court, some labourers\nwere repairing the gas-pipes, and had lighted a great fire in a brazier,\nround which a party of ragged men and boys were gathered: warming their\nhands and winking their eyes before the blaze in rapture. The water-plug\nbeing left in solitude, its overflowings suddenly congealed, and turned\nto misanthropic ice. The brightness of the shops, where holly sprigs and\nberries crackled in the lamp heat of the windows, made pale faces ruddy\nas they passed. Poulterers' and grocers' trades became a splendid joke:\na glorious pageant, with which it was next to impossible to believe that\nsuch dull principles as bargain and sale had anything to do. The Lord\nMayor, in the stronghold of the mighty Mansion House, gave orders to his\nfifty cooks and butlers to keep Christmas as a Lord Mayor's household\nshould; and even the little tailor, whom he had fined five shillings on\nthe previous Monday for being drunk and bloodthirsty in the streets,\nstirred up to-morrow's pudding in his garret, while his lean wife and\nthe baby sallied out to buy the beef.\n\nFoggier yet, and colder! Piercing, searching, biting cold. If the good\nSt. Dunstan had but nipped the Evil Spirit's nose with a touch of such\nweather as that, instead of using his familiar weapons, then indeed he\nwould have roared to lusty purpose. The owner of one scant young nose,\ngnawed and mumbled by the hungry cold as bones are gnawed by dogs,\nstooped down at Scrooge's keyhole to regale him with a Christmas carol;\nbut, at the first sound of\n\n 'God bless you, merry gentleman,\n May nothing you dismay!'\n\nScrooge seized the ruler with such energy of action that the singer fled\nin terror, leaving the keyhole to the fog, and even more congenial\nfrost.\n\nAt length the hour of shutting up the counting-house arrived. With an\nill-will Scrooge dismounted from his stool, and tacitly admitted the\nfact to the expectant clerk in the tank, who instantly snuffed his\ncandle out, and put on his hat.\n\n'You'll want all day to-morrow, I suppose?' said Scrooge.\n\n'If quite convenient, sir.'\n\n'It's not convenient,' said Scrooge, 'and it's not fair. If I was to\nstop half-a-crown for it, you'd think yourself ill used, I'll be bound?'\n\nThe clerk smiled faintly.\n\n'And yet,' said Scrooge, 'you don't think _me_ ill used when I pay a\nday's wages for no work.'\n\n[Illustration: _Bob Cratchit went down a slide on Cornhill, at the end\nof a lane of boys, twenty times, in honour of its being Christmas\nEve_]\n\nThe clerk observed that it was only once a year.\n\n'A poor excuse for picking a man's pocket every twenty-fifth of\nDecember!' said Scrooge, buttoning his greatcoat to the chin. 'But I\nsuppose you must have the whole day. Be here all the earlier next\nmorning.'\n\nThe clerk promised that he would; and Scrooge walked out with a growl.\nThe office was closed in a twinkling, and the clerk, with the long ends\nof his white comforter dangling below his waist (for he boasted no\ngreatcoat), went down a slide on Cornhill, at the end of a lane of boys,\ntwenty times, in honour of its being Christmas Eve, and then ran home to\nCamden Town as hard as he could pelt, to play at blind man's-buff.\n\nScrooge took his melancholy dinner in his usual melancholy tavern; and\nhaving read all the newspapers, and beguiled the rest of the evening\nwith his banker's book, went home to bed. He lived in chambers which had\nonce belonged to his deceased partner. They were a gloomy suite of\nrooms, in a lowering pile of building up a yard, where it had so little\nbusiness to be, that one could scarcely help fancying it must have run\nthere when it was a young house, playing at hide-and-seek with other\nhouses, and have forgotten the way out again. It was old enough now, and\ndreary enough; for nobody lived in it but Scrooge, the other rooms\nbeing all let out as offices. The yard was so dark that even Scrooge,\nwho knew its every stone, was fain to grope with his hands. The fog and\nfrost so hung about the black old gateway of the house, that it seemed\nas if the Genius of the Weather sat in mournful meditation on the\nthreshold.\n\nNow, it is a fact that there was nothing at all particular about the\nknocker on the door, except that it was very large. It is also a fact\nthat Scrooge had seen it, night and morning, during his whole residence\nin that place; also that Scrooge had as little of what is called fancy\nabout him as any man in the City of London, even including--which is a\nbold word--the corporation, aldermen, and livery. Let it also be borne\nin mind that Scrooge had not bestowed one thought on Marley since his\nlast mention of his seven-years'-dead partner that afternoon. And then\nlet any man explain to me, if he can, how it happened that Scrooge,\nhaving his key in the lock of the door, saw in the knocker, without its\nundergoing any intermediate process of change--not a knocker, but\nMarley's face.\n\nMarley's face. It was not in impenetrable shadow, as the other objects\nin the yard were, but had a dismal light about it, like a bad lobster in\na dark cellar. It was not angry or ferocious, but looked at Scrooge as\nMarley used to look; with ghostly spectacles turned up on its ghostly\nforehead. The hair was curiously stirred, as if by breath or hot air;\nand, though the eyes were wide open, they were perfectly motionless.\nThat, and its livid colour, made it horrible; but its horror seemed to\nbe in spite of the face, and beyond its control, rather than a part of\nits own expression.\n\nAs Scrooge looked fixedly at this phenomenon, it was a knocker again.\n\nTo say that he was not startled, or that his blood was not conscious of\na terrible sensation to which it had been a stranger from infancy, would\nbe untrue. But he put his hand upon the key he had relinquished, turned\nit sturdily, walked in, and lighted his candle.\n\nHe _did_ pause, with a moment's irresolution, before he shut the door;\nand he _did_ look cautiously behind it first, as if he half expected to\nbe terrified with the sight of Marley's pigtail sticking out into the\nhall. But there was nothing on the back of the door, except the screws\nand nuts that held the knocker on, so he said, 'Pooh, pooh!' and closed\nit with a bang.\n\nThe sound resounded through the house like thunder. Every room above,\nand every cask in the wine-merchant's cellars below, appeared to have a\nseparate peal of echoes of its own. Scrooge was not a man to be\nfrightened by echoes. He fastened the door, and walked across the hall,\nand up the stairs: slowly, too: trimming his candle as he went.\n\nYou may talk vaguely about driving a coach and six up a good old flight\nof stairs, or through a bad young Act of Parliament; but I mean to say\nyou might have got a hearse up that staircase, and taken it broadwise,\nwith the splinter-bar towards the wall, and the door towards the\nbalustrades: and done it easy. There was plenty of width for that, and\nroom to spare; which is perhaps the reason why Scrooge thought he saw a\nlocomotive hearse going on before him in the gloom. Half-a-dozen\ngas-lamps out of the street wouldn't have lighted the entry too well, so\nyou may suppose that it was pretty dark with Scrooge's dip.\n\nUp Scrooge went, not caring a button for that. Darkness is cheap, and\nScrooge liked it. But, before he shut his heavy door, he walked through\nhis rooms to see that all was right. He had just enough recollection of\nthe face to desire to do that.\n\nSitting-room, bedroom, lumber-room. All as they should be. Nobody under\nthe table, nobody under the sofa; a small fire in the grate; spoon and\nbasin ready; and the little saucepan of gruel (Scrooge had a cold in his\nhead) upon the hob. Nobody under the bed; nobody in the closet; nobody\nin his dressing-gown, which was hanging up in a suspicious attitude\nagainst the wall. Lumber-room as usual. Old fire-guard, old shoes, two\nfish baskets, washing-stand on three legs, and a poker.\n\n[Illustration: _Nobody under the bed; nobody in the closet; nobody in\nhis dressing-gown, which was hanging up in a suspicious attitude against\nthe wall_]\n\nQuite satisfied, he closed his door, and locked himself in; double\nlocked himself in, which was not his custom. Thus secured against\nsurprise, he took off his cravat; put on his dressing-gown and slippers,\nand his nightcap; and sat down before the fire to take his gruel.\n\nIt was a very low fire indeed; nothing on such a bitter night. He was\nobliged to sit close to it, and brood over it, before he could extract\nthe least sensation of warmth from such a handful of fuel. The fireplace\nwas an old one, built by some Dutch merchant long ago, and paved all\nround with quaint Dutch tiles, designed to illustrate the Scriptures.\nThere were Cains and Abels, Pharaoh's daughters, Queens of Sheba,\nAngelic messengers descending through the air on clouds like\nfeather-beds, Abrahams, Belshazzars, Apostles putting off to sea in\nbutter-boats, hundreds of figures to attract his thoughts; and yet that\nface of Marley, seven years dead, came like the ancient Prophet's rod,\nand swallowed up the whole. If each smooth tile had been a blank at\nfirst, with power to shape some picture on its surface from the\ndisjointed fragments of his thoughts, there would have been a copy of\nold Marley's head on every one.\n\n'Humbug!' said Scrooge; and walked across the room.\n\nAfter several turns he sat down again. As he threw his head back in the\nchair, his glance happened to rest upon a bell, a disused bell, that\nhung in the room, and communicated, for some purpose now forgotten, with\na chamber in the highest storey of the building. It was with great\nastonishment, and with a strange, inexplicable dread, that, as he\nlooked, he saw this bell begin to swing. It swung so softly in the\noutset that it scarcely made a sound; but soon it rang out loudly, and\nso did every bell in the house.\n\nThis might have lasted half a minute, or a minute, but it seemed an\nhour. The bells ceased, as they had begun, together. They were succeeded\nby a clanking noise deep down below as if some person were dragging a\nheavy chain over the casks in the wine-merchant's cellar. Scrooge then\nremembered to have heard that ghosts in haunted houses were described as\ndragging chains.\n\nThe cellar door flew open with a booming sound, and then he heard the\nnoise much louder on the floors below; then coming up the stairs; then\ncoming straight towards his door.\n\n'It's humbug still!' said Scrooge. 'I won't believe it.'\n\nHis colour changed, though, when, without a pause, it came on through\nthe heavy door and passed into the room before his eyes. Upon its coming\nin, the dying flame leaped up, as though it cried, 'I know him! Marley's\nGhost!' and fell again.\n\nThe same face: the very same. Marley in his pigtail, usual waistcoat,\ntights, and boots; the tassels on the latter bristling, like his\npigtail, and his coat-skirts, and the hair upon his head. The chain he\ndrew was clasped about his middle. It was long, and wound about him like\na tail; and it was made (for Scrooge observed it closely) of cash-boxes,\nkeys, padlocks, ledgers, deeds, and heavy purses wrought in steel. His\nbody was transparent: so that Scrooge, observing him, and looking\nthrough his waistcoat, could see the two buttons on his coat behind.\n\nScrooge had often heard it said that Marley had no bowels, but he had\nnever believed it until now.\n\nNo, nor did he believe it even now. Though he looked the phantom through\nand through, and saw it standing before him; though he felt the chilling\ninfluence of its death-cold eyes, and marked the very texture of the\nfolded kerchief bound about its head and chin, which wrapper he had not\nobserved before, he was still incredulous, and fought against his\nsenses.\n\n'How now!' said Scrooge, caustic and cold as ever. 'What do you want\nwith me?'\n\n'Much!'--Marley's voice; no doubt about it.\n\n'Who are you?'\n\n'Ask me who I _was_.'\n\n'Who _were_ you, then?' said Scrooge, raising his voice. 'You're\nparticular, for a shade.' He was going to say '_to_ a shade,' but\nsubstituted this, as more appropriate.\n\n'In life I was your partner, Jacob Marley.'\n\n'Can you--can you sit down?' asked Scrooge, looking doubtfully at him.\n\n'I can.'\n\n'Do it, then.'\n\nScrooge asked the question, because he didn't know whether a ghost so\ntransparent might find himself in a condition to take a chair; and felt\nthat in the event of its being impossible, it might involve the\nnecessity of an embarrassing explanation. But the Ghost sat down on the\nopposite side of the fireplace, as if he were quite used to it.\n\n'You don't believe in me,' observed the Ghost.\n\n'I don't,' said Scrooge.\n\n'What evidence would you have of my reality beyond that of your own\nsenses?'\n\n'I don't know,' said Scrooge.\n\n'Why do you doubt your senses?'\n\n'Because,' said Scrooge, 'a little thing affects them. A slight disorder\nof the stomach makes them cheats. You may be an undigested bit of beef,\na blot of mustard, a crumb of cheese, a fragment of an underdone potato.\nThere's more of gravy than of grave about you, whatever you are!'\n\nScrooge was not much in the habit of cracking jokes, nor did he feel in\nhis heart by any means waggish then. The truth is, that he tried to be\nsmart, as a means of distracting his own attention, and keeping down his\nterror; for the spectre's voice disturbed the very marrow in his bones.\n\nTo sit staring at those fixed, glazed eyes in silence, for a moment,\nwould play, Scrooge felt, the very deuce with him. There was something\nvery awful, too, in the spectre's being provided with an infernal\natmosphere of his own. Scrooge could not feel it himself, but this was\nclearly the case; for though the Ghost sat perfectly motionless, its\nhair, and skirts, and tassels were still agitated as by the hot vapour\nfrom an oven.\n\n'You see this toothpick?' said Scrooge, returning quickly to the charge,\nfor the reason just assigned; and wishing, though it were only for a\nsecond, to divert the vision's stony gaze from himself.\n\n'I do,' replied the Ghost.\n\n'You are not looking at it,' said Scrooge.\n\n'But I see it,' said the Ghost, 'notwithstanding.'\n\n'Well!' returned Scrooge, 'I have but to swallow this, and be for the\nrest of my days persecuted by a legion of goblins, all of my own\ncreation. Humbug, I tell you: humbug!'\n\nAt this the spirit raised a frightful cry, and shook its chain with such\na dismal and appalling noise, that Scrooge held on tight to his chair,\nto save himself from falling in a swoon. But how much greater was his\nhorror when the phantom, taking off the bandage round his head, as if it\nwere too warm to wear indoors, its lower jaw dropped down upon its\nbreast!\n\nScrooge fell upon his knees, and clasped his hands before his face.\n\n'Mercy!' he said. 'Dreadful apparition, why do you trouble me?'\n\n'Man of the worldly mind!' replied the Ghost, 'do you believe in me or\nnot?'\n\n'I do,' said Scrooge; 'I must. But why do spirits walk the earth, and\nwhy do they come to me?'\n\n'It is required of every man,' the Ghost returned, 'that the spirit\nwithin him should walk abroad among his fellow-men, and travel far and\nwide; and, if that spirit goes not forth in life, it is condemned to do\nso after death. It is doomed to wander through the world--oh, woe is\nme!--and witness what it cannot share, but might have shared on earth,\nand turned to happiness!'\n\nAgain the spectre raised a cry, and shook its chain and wrung its\nshadowy hands.\n\n'You are fettered,' said Scrooge, trembling. 'Tell me why?'\n\n'I wear the chain I forged in life,' replied the Ghost. 'I made it link\nby link, and yard by yard; I girded it on of my own free will, and of\nmy own free will I wore it. Is its pattern strange to _you_?'\n\nScrooge trembled more and more.\n\n'Or would you know,' pursued the Ghost, 'the weight and length of the\nstrong coil you bear yourself? It was full as heavy and as long as this\nseven Christmas Eves ago. You have laboured on it since. It is a\nponderous chain!'\n\nScrooge glanced about him on the floor, in the expectation of finding\nhimself surrounded by some fifty or sixty fathoms of iron cable; but he\ncould see nothing.\n\n'Jacob!' he said imploringly. 'Old Jacob Marley, tell me more! Speak\ncomfort to me, Jacob!'\n\n'I have none to give,' the Ghost replied. 'It comes from other regions,\nEbenezer Scrooge, and is conveyed by other ministers, to other kinds of\nmen. Nor can I tell you what I would. A very little more is all\npermitted to me. I cannot rest, I cannot stay, I cannot linger anywhere.\nMy spirit never walked beyond our counting-house--mark me;--in life my\nspirit never roved beyond the narrow limits of our money-changing hole;\nand weary journeys lie before me!'\n\nIt was a habit with Scrooge, whenever he became thoughtful, to put his\nhands in his breeches pockets. Pondering on what the Ghost had said, he\ndid so now, but without lifting up his eyes, or getting off his knees.\n\n[Illustration: ON THE WINGS OF THE WIND]\n\n'You must have been very slow about it, Jacob,' Scrooge observed in a\nbusiness-like manner, though with humility and deference.\n\n'Slow!' the Ghost repeated.\n\n'Seven years dead,' mused Scrooge. 'And travelling all the time?'\n\n'The whole time,' said the Ghost. 'No rest, no peace. Incessant torture\nof remorse.'\n\n'You travel fast?' said Scrooge.\n\n[Illustration]\n\n'On the wings of the wind,' replied the Ghost.\n\n'You might have got over a great quantity of ground in seven years,'\nsaid Scrooge.\n\nThe Ghost, on hearing this, set up another cry, and clanked its chain so\nhideously in the dead silence of the night, that the Ward would have\nbeen justified in indicting it for a nuisance.\n\n'Oh! captive, bound, and double-ironed,' cried the phantom, 'not to know\nthat ages of incessant labour, by immortal creatures, for this earth\nmust pass into eternity before the good of which it is susceptible is\nall developed! Not to know that any Christian spirit working kindly in\nits little sphere, whatever it may be, will find its mortal life too\nshort for its vast means of usefulness! Not to know that no space of\nregret can make amends for one life's opportunities misused! Yet such\nwas I! Oh, such was I!'\n\n'But you were always a good man of business, Jacob,' faltered Scrooge,\nwho now began to apply this to himself.\n\n'Business!' cried the Ghost, wringing its hands again. 'Mankind was my\nbusiness. The common welfare was my business; charity, mercy,\nforbearance, and benevolence were, all, my business. The dealings of my\ntrade were but a drop of water in the comprehensive ocean of my\nbusiness!'\n\nIt held up its chain at arm's-length, as if that were the cause of all\nits unavailing grief, and flung it heavily upon the ground again.\n\n'At this time of the rolling year,' the spectre said, 'I suffer most.\nWhy did I walk through crowds of fellow-beings with my eyes turned down,\nand never raise them to that blessed Star which led the Wise Men to a\npoor abode? Were there no poor homes to which its light would have\nconducted _me_?'\n\nScrooge was very much dismayed to hear the spectre going on at this\nrate, and began to quake exceedingly.\n\n'Hear me!' cried the Ghost. 'My time is nearly gone.'\n\n'I will,' said Scrooge. 'But don't be hard upon me! Don't be flowery,\nJacob! Pray!'\n\n'How it is that I appear before you in a shape that you can see, I may\nnot tell. I have sat invisible beside you many and many a day.'\n\nIt was not an agreeable idea. Scrooge shivered, and wiped the\nperspiration from his brow.\n\n'That is no light part of my penance,' pursued the Ghost. 'I am here\nto-night to warn you that you have yet a chance and hope of escaping my\nfate. A chance and hope of my procuring, Ebenezer.'\n\n'You were always a good friend to me,' said Scrooge. 'Thankee!'\n\n'You will be haunted,' resumed the Ghost, 'by Three Spirits.'\n\nScrooge's countenance fell almost as low as the Ghost's had done.\n\n'Is that the chance and hope you mentioned, Jacob?' he demanded in a\nfaltering voice.\n\n'It is.'\n\n'I--I think I'd rather not,' said Scrooge.\n\n'Without their visits,' said the Ghost, 'you cannot hope to shun the\npath I tread. Expect the first to-morrow when the bell tolls One.'\n\n'Couldn't I take 'em all at once, and have it over, Jacob?' hinted\nScrooge.\n\n'Expect the second on the next night at the same hour. The third, upon\nthe next night when the last stroke of Twelve has ceased to vibrate.\nLook to see me no more; and look that, for your own sake, you remember\nwhat has passed between us!'\n\nWhen it had said these words, the spectre took its wrapper from the\ntable, and bound it round its head as before. Scrooge knew this by the\nsmart sound its teeth made when the jaws were brought together by the\nbandage. He ventured to raise his eyes again, and found his supernatural\nvisitor confronting him in an erect attitude, with its chain wound over\nand about its arm.\n\n[Illustration: _The air was filled with phantoms, wandering hither and\nthither in restless haste and moaning as they went_]\n\nThe apparition walked backward from him; and, at every step it took, the\nwindow raised itself a little, so that, when the spectre reached it, it\nwas wide open. It beckoned Scrooge to approach, which he did. When they\nwere within two paces of each other, Marley's Ghost held up its hand,\nwarning him to come no nearer. Scrooge stopped.\n\nNot so much in obedience as in surprise and fear; for, on the raising of\nthe hand, he became sensible of confused noises in the air; incoherent\nsounds of lamentation and regret; wailings inexpressibly sorrowful and\nself-accusatory. The spectre, after listening for a moment, joined in\nthe mournful dirge; and floated out upon the bleak, dark night.\n\nScrooge followed to the window: desperate in his curiosity. He looked\nout.\n\nThe air was filled with phantoms, wandering hither and thither in\nrestless haste, and moaning as they went. Every one of them wore chains\nlike Marley's Ghost; some few (they might be guilty governments) were\nlinked together; none were free. Many had been personally known to\nScrooge in their lives. He had been quite familiar with one old ghost in\na white waistcoat, with a monstrous iron safe attached to its ankle, who\ncried piteously at being unable to assist a wretched woman with an\ninfant, whom it saw below upon a doorstep. The misery with them all was\nclearly, that they sought to interfere, for good, in human matters, and\nhad lost the power for ever.\n\nWhether these creatures faded into mist, or mist enshrouded them, he\ncould not tell. But they and their spirit voices faded together; and\nthe night became as it had been when he walked home.\n\nScrooge closed the window, and examined the door by which the Ghost had\nentered. It was double locked, as he had locked it with his own hands,\nand the bolts were undisturbed. He tried to say 'Humbug!' but stopped at\nthe first syllable. And being, from the emotions he had undergone, or\nthe fatigues of the day, or his glimpse of the Invisible World, or the\ndull conversation of the Ghost, or the lateness of the hour, much in\nneed of repose, went straight to bed without undressing, and fell asleep\nupon the instant.\n\n[Illustration]\n\n\nSTAVE TWO\n\n[Illustration]\n\n\n\n\nTHE FIRST OF THE THREE SPIRITS\n\n\nWhen Scrooge awoke it was so dark, that, looking out of bed, he could\nscarcely distinguish the transparent window from the opaque walls of his\nchamber. He was endeavouring to pierce the darkness with his ferret\neyes, when the chimes of a neighbouring church struck the four quarters.\nSo he listened for the hour.\n\nTo his great astonishment, the heavy bell went on from six to seven, and\nfrom seven to eight, and regularly up to twelve; then stopped. Twelve!\nIt was past two when he went to bed. The clock was wrong. An icicle must\nhave got into the works. Twelve!\n\nHe touched the spring of his repeater, to correct this most preposterous\nclock. Its rapid little pulse beat twelve, and stopped.\n\n'Why, it isn't possible,' said Scrooge, 'that I can have slept through a\nwhole day and far into another night. It isn't possible that anything\nhas happened to the sun, and this is twelve at noon!'\n\nThe idea being an alarming one, he scrambled out of bed, and groped his\nway to the window. He was obliged to rub the frost off with the sleeve\nof his dressing-gown before he could see anything; and could see very\nlittle then. All he could make out was, that it was still very foggy and\nextremely cold, and that there was no noise of people running to and\nfro, and making a great stir, as there unquestionably would have been if\nnight had beaten off bright day, and taken possession of the world. This\nwas a great relief, because 'Three days after sight of this First of\nExchange pay to Mr. Ebenezer Scrooge or his order,' and so forth, would\nhave become a mere United States security if there were no days to count\nby.\n\nScrooge went to bed again, and thought, and thought, and thought it over\nand over, and could make nothing of it. The more he thought, the more\nperplexed he was; and, the more he endeavoured not to think, the more he\nthought.\n\nMarley's Ghost bothered him exceedingly. Every time he resolved within\nhimself, after mature inquiry that it was all a dream, his mind flew\nback again, like a strong spring released, to its first position, and\npresented the same problem to be worked all through, 'Was it a dream or\nnot?'\n\nScrooge lay in this state until the chime had gone three-quarters more,\nwhen he remembered, on a sudden, that the Ghost had warned him of a\nvisitation when the bell tolled one. He resolved to lie awake until the\nhour was passed; and, considering that he could no more go to sleep than\ngo to heaven, this was, perhaps, the wisest resolution in his power.\n\nThe quarter was so long, that he was more than once convinced he must\nhave sunk into a doze unconsciously, and missed the clock. At length it\nbroke upon his listening ear.\n\n'Ding, dong!'\n\n'A quarter past,' said Scrooge, counting.\n\n'Ding, dong!'\n\n'Half past,' said Scrooge.\n\n'Ding, dong!'\n\n'A quarter to it.' said Scrooge.\n\n'Ding, dong!'\n\n'The hour itself,' said Scrooge triumphantly, 'and nothing else!'\n\nHe spoke before the hour bell sounded, which it now did with a deep,\ndull, hollow, melancholy ONE. Light flashed up in the room upon the\ninstant, and the curtains of his bed were drawn.\n\nThe curtains of his bed were drawn aside, I tell you, by a hand. Not\nthe curtains at his feet, nor the curtains at his back, but those to\nwhich his face was addressed. The curtains of his bed were drawn aside;\nand Scrooge, starting up into a half-recumbent attitude, found himself\nface to face with the unearthly visitor who drew them: as close to it as\nI am now to you, and I am standing in the spirit at your elbow.\n\nIt was a strange figure--like a child; yet not so like a child as like\nan old man, viewed through some supernatural medium, which gave him the\nappearance of having receded from the view, and being diminished to a\nchild's proportions. Its hair, which hung about its neck and down its\nback, was white, as if with age; and yet the face had not a wrinkle in\nit, and the tenderest bloom was on the skin. The arms were very long and\nmuscular; the hands the same, as if its hold were of uncommon strength.\nIts legs and feet, most delicately formed, were, like those upper\nmembers, bare. It wore a tunic of the purest white; and round its waist\nwas bound a lustrous belt, the sheen of which was beautiful. It held a\nbranch of fresh green holly in its hand; and, in singular contradiction\nof that wintry emblem, had its dress trimmed with summer flowers. But\nthe strangest thing about it was, that from the crown of its head there\nsprang a bright clear jet of light, by which all this was visible; and\nwhich was doubtless the occasion of its using, in its duller moments, a\ngreat extinguisher for a cap, which it now held under its arm.\n\nEven this, though, when Scrooge looked at it with increasing steadiness,\nwas _not_ its strangest quality. For, as its belt sparkled and\nglittered, now in one part and now in another, and what was light one\ninstant at another time was dark, so the figure itself fluctuated in its\ndistinctness; being now a thing with one arm, now with one leg, now with\ntwenty legs, now a pair of legs without a head, now a head without a\nbody: of which dissolving parts no outline would be visible in the dense\ngloom wherein they melted away. And, in the very wonder of this, it\nwould be itself again; distinct and clear as ever.\n\n'Are you the Spirit, sir, whose coming was foretold to me?' asked\nScrooge.\n\n'I am!'\n\nThe voice was soft and gentle. Singularly low, as if, instead of being\nso close behind him, it were at a distance.\n\n'Who and what are you?' Scrooge demanded.\n\n'I am the Ghost of Christmas Past.'\n\n'Long Past?' inquired Scrooge, observant of its dwarfish stature.\n\n'No. Your past.'\n\nPerhaps Scrooge could not have told anybody why, if anybody could have\nasked him; but he had a special desire to see the Spirit in his cap,\nand begged him to be covered.\n\n'What!' exclaimed the Ghost, 'would you so soon put out, with worldly\nhands, the light I give? Is it not enough that you are one of those\nwhose passions made this cap, and force me through whole trains of years\nto wear it low upon my brow?'\n\nScrooge reverently disclaimed all intention to offend or any knowledge\nof having wilfully 'bonneted' the Spirit at any period of his life. He\nthen made bold to inquire what business brought him there.\n\n'Your welfare!' said the Ghost.\n\nScrooge expressed himself much obliged, but could not help thinking that\na night of unbroken rest would have been more conducive to that end. The\nSpirit must have heard him thinking, for it said immediately--\n\n'Your reclamation, then. Take heed!'\n\nIt put out its strong hand as it spoke, and clasped him gently by the\narm.\n\n'Rise! and walk with me!'\n\nIt would have been in vain for Scrooge to plead that the weather and the\nhour were not adapted to pedestrian purposes; that bed was warm, and the\nthermometer a long way below freezing; that he was clad but lightly in\nhis slippers, dressing-gown, and nightcap; and that he had a cold upon\nhim at that time. The grasp, though gentle as a woman's hand, was not\nto be resisted. He rose; but, finding that the Spirit made towards the\nwindow, clasped its robe in supplication.\n\n'I am a mortal,' Scrooge remonstrated, 'and liable to fall.'\n\n'Bear but a touch of my hand _there_,' said the Spirit, laying it upon\nhis heart, 'and you shall be upheld in more than this!'\n\nAs the words were spoken, they passed through the wall, and stood upon\nan open country road, with fields on either hand. The city had entirely\nvanished. Not a vestige of it was to be seen. The darkness and the mist\nhad vanished with it, for it was a clear, cold, winter day, with snow\nupon the ground.\n\n'Good Heaven!' said Scrooge, clasping his hands together, as he looked\nabout him. 'I was bred in this place. I was a boy here!'\n\nThe Spirit gazed upon him mildly. Its gentle touch, though it had been\nlight and instantaneous, appeared still present to the old man's sense\nof feeling. He was conscious of a thousand odours floating in the air,\neach one connected with a thousand thoughts, and hopes, and joys, and\ncares long, long forgotten!\n\n'Your lip is trembling,' said the Ghost. 'And what is that upon your\ncheek?'\n\nScrooge muttered, with an unusual catching in his voice, that it was a\npimple; and begged the Ghost to lead him where he would.\n\n'You recollect the way?' inquired the Spirit.\n\n'Remember it!' cried Scrooge with fervour; 'I could walk it blindfold.'\n\n'Strange to have forgotten it for so many years!' observed the Ghost.\n'Let us go on.'\n\nThey walked along the road, Scrooge recognising every gate, and post,\nand tree, until a little market-town appeared in the distance, with its\nbridge, its church, and winding river. Some shaggy ponies now were seen\ntrotting towards them with boys upon their backs, who called to other\nboys in country gigs and carts, driven by farmers. All these boys were\nin great spirits, and shouted to each other, until the broad fields were\nso full of merry music, that the crisp air laughed to hear it.\n\n'These are but shadows of the things that have been,' said the Ghost.\n'They have no consciousness of us.'\n\nThe jocund travellers came on; and as they came, Scrooge knew and named\nthem every one. Why was he rejoiced beyond all bounds to see them? Why\ndid his cold eye glisten, and his heart leap up as they went past? Why\nwas he filled with gladness when he heard them give each other Merry\nChristmas, as they parted at cross-roads and by-ways for their several\nhomes? What was merry Christmas to Scrooge? Out upon merry Christmas!\nWhat good had it ever done to him?\n\n'The school is not quite deserted,' said the Ghost. 'A solitary child,\nneglected by his friends, is left there still.'\n\nScrooge said he knew it. And he sobbed.\n\nThey left the high-road by a well-remembered lane and soon approached a\nmansion of dull red brick, with a little weather-cock surmounted cupola\non the roof, and a bell hanging in it. It was a large house, but one of\nbroken fortunes; for the spacious offices were little used, their walls\nwere damp and mossy, their windows broken, and their gates decayed.\nFowls clucked and strutted in the stables; and the coach-houses and\nsheds were overrun with grass. Nor was it more retentive of its ancient\nstate within; for, entering the dreary hall, and glancing through the\nopen doors of many rooms, they found them poorly furnished, cold, and\nvast. There was an earthy savour in the air, a chilly bareness in the\nplace, which associated itself somehow with too much getting up by\ncandle light and not too much to eat.\n\nThey went, the Ghost and Scrooge, across the hall, to a door at the back\nof the house. It opened before them, and disclosed a long, bare,\nmelancholy room, made barer still by lines of plain deal forms and\ndesks. At one of these a lonely boy was reading near a feeble fire; and\nScrooge sat down upon a form, and wept to see his poor forgotten self as\nhe had used to be.\n\nNot a latent echo in the house, not a squeak and scuffle from the mice\nbehind the panelling, not a drip from the half-thawed waterspout in the\ndull yard behind, not a sigh among the leafless boughs of one despondent\npoplar, not the idle swinging of an empty storehouse door, no, not a\nclicking in the fire, but fell upon the heart of Scrooge with softening\ninfluence, and gave a freer passage to his tears.\n\nThe Spirit touched him on the arm, and pointed to his younger self,\nintent upon his reading. Suddenly a man in foreign garments, wonderfully\nreal and distinct to look at, stood outside the window, with an axe\nstuck in his belt, and leading by the bridle an ass laden with wood.\n\n'Why, it's Ali Baba!' Scrooge exclaimed in ecstasy. 'It's dear old\nhonest Ali Baba! Yes, yes, I know. One Christmas-time, when yonder\nsolitary child was left here all alone, he _did_ come, for the first\ntime, just like that. Poor boy! And Valentine,' said Scrooge, 'and his\nwild brother, Orson; there they go! And what's his name, who was put\ndown in his drawers, asleep, at the gate of Damascus; don't you see him?\nAnd the Sultan's Groom turned upside down by the Genii; there he is upon\nhis head! Serve him right! I'm glad of it. What business had he to be\nmarried to the Princess?'\n\nTo hear Scrooge expending all the earnestness of his nature on such\nsubjects, in a most extraordinary voice between laughing and crying; and\nto see his heightened and excited face; would have been a surprise to\nhis business friends in the City, indeed.\n\n'There's the Parrot!' cried Scrooge. 'Green body and yellow tail, with a\nthing like a lettuce growing out of the top of his head; there he is!\nPoor Robin Crusoe he called him, when he came home again after sailing\nround the island. \"Poor Robin Crusoe, where have you been, Robin\nCrusoe?\" The man thought he was dreaming, but he wasn't. It was the\nParrot, you know. There goes Friday, running for his life to the little\ncreek! Halloa! Hoop! Halloo!'\n\nThen, with a rapidity of transition very foreign to his usual character,\nhe said, in pity for his former self, 'Poor boy!' and cried again.\n\n'I wish,' Scrooge muttered, putting his hand in his pocket, and looking\nabout him, after drying his eyes with his cuff; 'but it's too late now.'\n\n'What is the matter?' asked the Spirit.\n\n'Nothing,' said Scrooge. 'Nothing. There was a boy singing a Christmas\ncarol at my door last night. I should like to have given him something:\nthat's all.'\n\nThe Ghost smiled thoughtfully, and waved its hand, saying as it did so,\n'Let us see another Christmas!'\n\nScrooge's former self grew larger at the words, and the room became a\nlittle darker and more dirty. The panels shrunk, the windows cracked;\nfragments of plaster fell out of the ceiling, and the naked laths were\nshown instead; but how all this was brought about Scrooge knew no more\nthan you do. He only knew that it was quite correct; that everything had\nhappened so; that there he was, alone again, when all the other boys had\ngone home for the jolly holidays.\n\nHe was not reading now, but walking up and down despairingly. Scrooge\nlooked at the Ghost, and, with a mournful shaking of his head, glanced\nanxiously towards the door.\n\nIt opened; and a little girl, much younger than the boy, came darting\nin, and, putting her arms about his neck, and often kissing him,\naddressed him as her 'dear, dear brother.'\n\n'I have come to bring you home, dear brother!' said the child, clapping\nher tiny hands, and bending down to laugh. 'To bring you home, home,\nhome!'\n\n'Home, little Fan?' returned the boy.\n\n'Yes!' said the child, brimful of glee. 'Home for good and all. Home for\never and ever. Father is so much kinder than he used to be, that home's\nlike heaven! He spoke so gently to me one dear night when I was going to\nbed, that I was not afraid to ask him once more if you might come home;\nand he said Yes, you should; and sent me in a coach to bring you. And\nyou're to be a man!' said the child, opening her eyes; 'and are never to\ncome back here; but first we're to be together all the Christmas long,\nand have the merriest time in all the world.'\n\n'You are quite a woman, little Fan!' exclaimed the boy.\n\nShe clapped her hands and laughed, and tried to touch his head; but,\nbeing too little laughed again, and stood on tiptoe to embrace him. Then\nshe began to drag him, in her childish eagerness, towards the door; and\nhe, nothing loath to go, accompanied her.\n\nA terrible voice in the hall cried, 'Bring down Master Scrooge's box,\nthere!' and in the hall appeared the schoolmaster himself, who glared on\nMaster Scrooge with a ferocious condescension, and threw him into a\ndreadful state of mind by shaking hands with him. He then conveyed him\nand his sister into the veriest old well of a shivering best parlour\nthat ever was seen, where the maps upon the wall, and the celestial and\nterrestrial globes in the windows, were waxy with cold. Here he produced\na decanter of curiously light wine, and a block of curiously heavy cake,\nand administered instalments of those dainties to the young people; at\nthe same time sending out a meagre servant to offer a glass of\n'something' to the postboy, who answered that he thanked the gentleman,\nbut, if it was the same tap as he had tasted before, he had rather not.\nMaster Scrooge's trunk being by this time tied on to the top of the\nchaise, the children bade the schoolmaster good-bye right willingly;\nand, getting into it, drove gaily down the garden sweep; the quick\nwheels dashing the hoar-frost and snow from off the dark leaves of the\nevergreens like spray.\n\n[Illustration: HE PRODUCED A DECANTER OF CURIOUSLY LIGHT WINE, AND A\nBLOCK OF CURIOUSLY HEAVY CAKE]\n\n'Always a delicate creature, whom a breath might have withered,' said\nthe Ghost. 'But she had a large heart!'\n\n'So she had,' cried Scrooge. 'You're right. I will not gainsay it,\nSpirit. God forbid!'\n\n'She died a woman,' said the Ghost, 'and had, as I think, children.'\n\n'One child,' Scrooge returned.\n\n'True,' said the Ghost. 'Your nephew!'\n\nScrooge seemed uneasy in his mind, and answered briefly, 'Yes.'\n\nAlthough they had but that moment left the school behind them, they were\nnow in the busy thoroughfares of a city, where shadowy passengers passed\nand re-passed; where shadowy carts and coaches battled for the way, and\nall the strife and tumult of a real city were. It was made plain enough,\nby the dressing of the shops, that here, too, it was Christmas-time\nagain; but it was evening, and the streets were lighted up.\n\nThe Ghost stopped at a certain warehouse door, and asked Scrooge if he\nknew it.\n\n'Know it!' said Scrooge. 'Was I apprenticed here?'\n\nThey went in. At sight of an old gentleman in a Welsh wig, sitting\nbehind such a high desk, that if he had been two inches taller, he must\nhave knocked his head against the ceiling, Scrooge cried in great\nexcitement--\n\n'Why, it's old Fezziwig! Bless his heart, it's Fezziwig alive again!'\n\nOld Fezziwig laid down his pen, and looked up at the clock, which\npointed to the hour of seven. He rubbed his hands; adjusted his\ncapacious waistcoat; laughed all over himself, from his shoes to his\norgan of benevolence; and called out, in a comfortable, oily, rich, fat,\njovial voice--\n\n'Yo ho, there! Ebenezer! Dick!'\n\nScrooge's former self, now grown a young man, came briskly in,\naccompanied by his fellow-'prentice.\n\n'Dick Wilkins, to be sure!' said Scrooge to the Ghost. 'Bless me, yes.\nThere he is. He was very much attached to me, was Dick. Poor Dick! Dear,\ndear!'\n\n'Yo ho, my boys!' said Fezziwig. 'No more work to-night. Christmas Eve,\nDick. Christmas, Ebenezer! Let's have the shutters up,' cried old\nFezziwig, with a sharp clap of his hands, 'before a man can say Jack\nRobinson!'\n\nYou wouldn't believe how those two fellows went at it! They charged into\nthe street with the shutters--one, two, three--had 'em up in their\nplaces--four, five, six--barred 'em and pinned 'em--seven, eight,\nnine--and came back before you could have got to twelve, panting like\nracehorses.\n\n'Hilli-ho!' cried old Fezziwig, skipping down from the high desk with\nwonderful agility. 'Clear away, my lads, and let's have lots of room\nhere! Hilli-ho, Dick! Chirrup, Ebenezer!'\n\nClear away! There was nothing they wouldn't have cleared away, or\ncouldn't have cleared away, with old Fezziwig looking on. It was done in\na minute. Every movable was packed off, as if it were dismissed from\npublic life for evermore; the floor was swept and watered, the lamps\nwere trimmed, fuel was heaped upon the fire; and the warehouse was as\nsnug, and warm, and dry, and bright a ball-room as you would desire to\nsee upon a winter's night.\n\nIn came a fiddler with a music-book, and went up to the lofty desk, and\nmade an orchestra of it, and tuned like fifty stomach-aches. In came\nMrs. Fezziwig, one vast substantial smile. In came the three Miss\nFezziwigs, beaming and lovable. In came the six young followers whose\nhearts they broke. In came all the young men and women employed in the\nbusiness. In came the housemaid, with her cousin the baker. In came the\ncook with her brother's particular friend the milkman. In came the boy\nfrom over the way, who was suspected of not having board enough from his\nmaster; trying to hide himself behind the girl from next door but one,\nwho was proved to have had her ears pulled by her mistress. In they all\ncame, one after another; some shyly, some boldly, some gracefully, some\nawkwardly, some pushing, some pulling; in they all came, any how and\nevery how. Away they all went, twenty couple at once; hands half round\nand back again the other way; down the middle and up again; round and\nround in various stages of affectionate grouping; old top couple always\nturning up in the wrong place; new top couple starting off again as soon\nas they got there; all top couples at last, and not a bottom one to help\nthem! When this result was brought about, old Fezziwig, clapping his\nhands to stop the dance, cried out, 'Well done!' and the fiddler plunged\nhis hot face into a pot of porter, especially provided for that purpose.\nBut, scorning rest upon his reappearance, he instantly began again,\nthough there were no dancers yet, as if the other fiddler had been\ncarried home, exhausted, on a shutter, and he were a bran-new man\nresolved to beat him out of sight, or perish.\n\n[Illustration: _Then old Fezziwig stood out to dance with Mrs.\nFezziwig_]\n\nThere were more dances, and there were forfeits, and more dances, and\nthere was cake, and there was negus, and there was a great piece of Cold\nRoast, and there was a great piece of Cold Boiled, and there were\nmince-pies, and plenty of beer. But the great effect of the evening came\nafter the Roast and Boiled, when the fiddler (an artful dog, mind! The\nsort of man who knew his business better than you or I could have told\nit him!) struck up 'Sir Roger de Coverley.' Then old Fezziwig stood\nout to dance with Mrs. Fezziwig. Top couple, too; with a good stiff\npiece of work cut out for them; three or four and twenty pair of\npartners; people who were not to be trifled with; people who would\ndance, and had no notion of walking.\n\nBut if they had been twice as many--ah! four times--old Fezziwig would\nhave been a match for them, and so would Mrs. Fezziwig. As to _her_, she\nwas worthy to be his partner in every sense of the term. If that's not\nhigh praise, tell me higher, and I'll use it. A positive light appeared\nto issue from Fezziwig's calves. They shone in every part of the dance\nlike moons. You couldn't have predicted, at any given time, what would\nbecome of them next. And when old Fezziwig and Mrs. Fezziwig had gone\nall through the dance; advance and retire, both hands to your partner,\nbow and curtsy, cork-screw, thread-the-needle, and back again to your\nplace: Fezziwig 'cut'--cut so deftly, that he appeared to wink with his\nlegs, and came upon his feet again without a stagger.\n\nWhen the clock struck eleven, this domestic ball broke up. Mr. and Mrs.\nFezziwig took their stations, one on either side the door, and, shaking\nhands with every person individually as he or she went out, wished him\nor her a Merry Christmas. When everybody had retired but the two\n'prentices, they did the same to them; and thus the cheerful voices died\naway, and the lads were left to their beds; which were under a counter\nin the back-shop.\n\nDuring the whole of this time Scrooge had acted like a man out of his\nwits. His heart and soul were in the scene, and with his former self. He\ncorroborated everything, remembered everything, enjoyed everything, and\nunderwent the strangest agitation. It was not until now, when the bright\nfaces of his former self and Dick were turned from them, that he\nremembered the Ghost, and became conscious that it was looking full upon\nhim, while the light upon its head burnt very clear.\n\n'A small matter,' said the Ghost, 'to make these silly folks so full of\ngratitude.'\n\n'Small!' echoed Scrooge.\n\nThe Spirit signed to him to listen to the two apprentices, who were\npouring out their hearts in praise of Fezziwig; and when he had done so,\nsaid:\n\n'Why! Is it not? He has spent but a few pounds of your mortal money:\nthree or four, perhaps. Is that so much that he deserves this praise?'\n\n'It isn't that,' said Scrooge, heated by the remark, and speaking\nunconsciously like his former, not his latter self. 'It isn't that,\nSpirit. He has the power to render us happy or unhappy; to make our\nservice light or burdensome; a pleasure or a toil. Say that his power\nlies in words and looks; in things so slight and insignificant that it\nis impossible to add and count 'em up: what then? The happiness he gives\nis quite as great as if it cost a fortune.'\n\nHe felt the Spirit's glance, and stopped.\n\n'What is the matter?' asked the Ghost.\n\n'Nothing particular,' said Scrooge.\n\n'Something, I think?' the Ghost insisted.\n\n'No,' said Scrooge, 'no. I should like to be able to say a word or two\nto my clerk just now. That's all.'\n\nHis former self turned down the lamps as he gave utterance to the wish;\nand Scrooge and the Ghost again stood side by side in the open air.\n\n'My time grows short,' observed the Spirit. 'Quick!'\n\nThis was not addressed to Scrooge, or to any one whom he could see, but\nit produced an immediate effect. For again Scrooge saw himself. He was\nolder now; a man in the prime of life. His face had not the harsh and\nrigid lines of later years; but it had begun to wear the signs of care\nand avarice. There was an eager, greedy, restless motion in the eye,\nwhich showed the passion that had taken root, and where the shadow of\nthe growing tree would fall.\n\nHe was not alone, but sat by the side of a fair young girl in a mourning\ndress: in whose eyes there were tears, which sparkled in the light that\nshone out of the Ghost of Christmas Past.\n\n'It matters little,' she said softly. 'To you, very little. Another idol\nhas displaced me; and, if it can cheer and comfort you in time to come\nas I would have tried to do, I have no just cause to grieve.'\n\n'What Idol has displaced you?' he rejoined.\n\n'A golden one.'\n\n'This is the even-handed dealing of the world!' he said. 'There is\nnothing on which it is so hard as poverty; and there is nothing it\nprofesses to condemn with such severity as the pursuit of wealth!'\n\n'You fear the world too much,' she answered gently. 'All your other\nhopes have merged into the hope of being beyond the chance of its sordid\nreproach. I have seen your nobler aspirations fall off one by one, until\nthe master passion, Gain, engrosses you. Have I not?'\n\n'What then?' he retorted. 'Even if I have grown so much wiser, what\nthen? I am not changed towards you.'\n\nShe shook her head.\n\n'Am I?'\n\n'Our contract is an old one. It was made when we were both poor, and\ncontent to be so, until, in good season, we could improve our worldly\nfortune by our patient industry. You _are_ changed. When it was made you\nwere another man.'\n\n'I was a boy,' he said impatiently.\n\n'Your own feeling tells you that you were not what you are,' she\nreturned. 'I am. That which promised happiness when we were one in heart\nis fraught with misery now that we are two. How often and how keenly I\nhave thought of this I will not say. It is enough that I _have_ thought\nof it, and can release you.'\n\n'Have I ever sought release?'\n\n'In words. No. Never.'\n\n'In what, then?'\n\n'In a changed nature; in an altered spirit; in another atmosphere of\nlife; another Hope as its great end. In everything that made my love of\nany worth or value in your sight. If this had never been between us,'\nsaid the girl, looking mildly, but with steadiness, upon him; 'tell me,\nwould you seek me out and try to win me now? Ah, no!'\n\nHe seemed to yield to the justice of this supposition in spite of\nhimself. But he said, with a struggle, 'You think not.'\n\n'I would gladly think otherwise if I could,' she answered. 'Heaven\nknows! When _I_ have learned a Truth like this, I know how strong and\nirresistible it must be. But if you were free to-day, to-morrow,\nyesterday, can even I believe that you would choose a dowerless\ngirl--you who, in your very confidence with her, weigh everything by\nGain: or, choosing her, if for a moment you were false enough to your\none guiding principle to do so, do I not know that your repentance and\nregret would surely follow? I do; and I release you. With a full heart,\nfor the love of him you once were.'\n\n[Illustration: SHE LEFT HIM, AND THEY PARTED]\n\nHe was about to speak; but, with her head turned from him, she resumed:\n\n'You may--the memory of what is past half makes me hope you will--have\npain in this. A very, very brief time, and you will dismiss the\nrecollection of it gladly, as an unprofitable dream, from which it\nhappened well that you awoke. May you be happy in the life you have\nchosen!'\n\nShe left him, and they parted.\n\n'Spirit!' said Scrooge, 'show me no more! Conduct me home. Why do you\ndelight to torture me?'\n\n'One shadow more!' exclaimed the Ghost.\n\n'No more!' cried Scrooge. 'No more! I don't wish to see it. Show me no\nmore!'\n\nBut the relentless Ghost pinioned him in both his arms, and forced him\nto observe what happened next.\n\nThey were in another scene and place; a room, not very large or\nhandsome, but full of comfort. Near to the winter fire sat a beautiful\nyoung girl, so like that last that Scrooge believed it was the same,\nuntil he saw _her_, now a comely matron, sitting opposite her daughter.\nThe noise in this room was perfectly tumultuous, for there were more\nchildren there than Scrooge in his agitated state of mind could count;\nand, unlike the celebrated herd in the poem, they were not forty\nchildren conducting themselves like one, but every child was conducting\nitself like forty. The consequences were uproarious beyond belief; but\nno one seemed to care; on the contrary, the mother and daughter laughed\nheartily, and enjoyed it very much; and the latter, soon beginning to\nmingle in the sports, got pillaged by the young brigands most\nruthlessly. What would I not have given to be one of them! Though I\nnever could have been so rude, no, no! I wouldn't for the wealth of all\nthe world have crushed that braided hair, and torn it down; and for the\nprecious little shoe, I wouldn't have plucked it off, God bless my soul!\nto save my life. As to measuring her waist in sport, as they did, bold\nyoung brood, I couldn't have done it; I should have expected my arm to\nhave grown round it for a punishment, and never come straight again. And\nyet I should have dearly liked, I own, to have touched her lips; to have\nquestioned her, that she might have opened them; to have looked upon the\nlashes of her downcast eyes, and never raised a blush; to have let loose\nwaves of hair, an inch of which would be a keepsake beyond price: in\nshort, I should have liked, I do confess, to have had the lightest\nlicense of a child, and yet to have been man enough to know its value.\n\n[Illustration: _A flushed and boisterous group_]\n\nBut now a knocking at the door was heard, and such a rush immediately\nensued that she, with laughing face and plundered dress, was borne\ntowards it the centre of a flushed and boisterous group, just in time to\ngreet the father, who came home attended by a man laden with Christmas\ntoys and presents. Then the shouting and the struggling, and the\nonslaught that was made on the defenceless porter! The scaling him, with\nchairs for ladders, to dive into his pockets, despoil him of\nbrown-paper parcels, hold on tight by his cravat, hug him round his\nneck, pummel his back, and kick his legs in irrepressible affection! The\nshouts of wonder and delight with which the development of every package\nwas received! The terrible announcement that the baby had been taken in\nthe act of putting a doll's frying pan into his mouth, and was more than\nsuspected of having swallowed a fictitious turkey, glued on a wooden\nplatter! The immense relief of finding this a false alarm! The joy, and\ngratitude, and ecstasy! They are all indescribable alike. It is enough\nthat, by degrees, the children and their emotions got out of the\nparlour, and, by one stair at a time, up to the top of the house, where\nthey went to bed, and so subsided.\n\nAnd now Scrooge looked on more attentively than ever, when the master of\nthe house, having his daughter leaning fondly on him, sat down with her\nand her mother at his own fireside; and when he thought that such\nanother creature, quite as graceful and as full of promise, might have\ncalled him father, and been a spring-time in the haggard winter of his\nlife, his sight grew very dim indeed.\n\n'Belle,' said the husband, turning to his wife with a smile, 'I saw an\nold friend of yours this afternoon.'\n\n'Who was it?'\n\n'Guess!'\n\n'How can I? Tut, don't I know?' she added in the same breath, laughing\nas he laughed. 'Mr. Scrooge.'\n\n'Mr. Scrooge it was. I passed his office window; and as it was not shut\nup, and he had a candle inside, I could scarcely help seeing him. His\npartner lies upon the point of death, I hear; and there he sat alone.\nQuite alone in the world, I do believe.'\n\n'Spirit!' said Scrooge in a broken voice, 'remove me from this place.'\n\n'I told you these were shadows of the things that have been,' said the\nGhost. 'That they are what they are do not blame me!'\n\n'Remove me!' Scrooge exclaimed, 'I cannot bear it!'\n\nHe turned upon the Ghost, and seeing that it looked upon him with a\nface, in which in some strange way there were fragments of all the faces\nit had shown him, wrestled with it.\n\n'Leave me! Take me back. Haunt me no longer!'\n\nIn the struggle, if that can be called a struggle in which the Ghost\nwith no visible resistance on its own part was undisturbed by any effort\nof its adversary, Scrooge observed that its light was burning high and\nbright; and dimly connecting that with its influence over him, he seized\nthe extinguisher-cap, and by a sudden action pressed it down upon its\nhead.\n\n[Illustration: _Laden with Christmas toys and presents_]\n\nThe Spirit dropped beneath it, so that the extinguisher covered its\nwhole form; but though Scrooge pressed it down with all his force, he\ncould not hide the light, which streamed from under it, in an unbroken\nflood upon the ground.\n\nHe was conscious of being exhausted, and overcome by an irresistible\ndrowsiness; and, further, of being in his own bedroom. He gave the cap a\nparting squeeze, in which his hand relaxed; and had barely time to reel\nto bed, before he sank into a heavy sleep.\n\n[Illustration]\n\n\nSTAVE THREE\n\n\n[Illustration]\n\n\n\n\nTHE SECOND OF THE THREE SPIRITS\n\n\nAwaking in the middle of a prodigiously tough snore, and sitting up in\nbed to get his thoughts together, Scrooge had no occasion to be told\nthat the bell was again upon the stroke of One. He felt that he was\nrestored to consciousness in the right nick of time, for the especial\npurpose of holding a conference with the second messenger despatched to\nhim through Jacob Marley's intervention. But finding that he turned\nuncomfortably cold when he began to wonder which of his curtains this\nnew spectre would draw back, he put them every one aside with his own\nhands, and, lying down again, established a sharp look-out all round the\nbed. For he wished to challenge the Spirit on the moment of its\nappearance, and did not wish to be taken by surprise and made nervous.\n\nGentlemen of the free-and-easy sort, who plume themselves on being\nacquainted with a move or two, and being usually equal to the time of\nday, express the wide range of their capacity for adventure by observing\nthat they are good for anything from pitch-and-toss to manslaughter;\nbetween which opposite extremes, no doubt, there lies a tolerably wide\nand comprehensive range of subjects. Without venturing for Scrooge quite\nas hardily as this, I don't mind calling on you to believe that he was\nready for a good broad field of strange appearances, and that nothing\nbetween a baby and a rhinoceros would have astonished him very much.\n\nNow, being prepared for almost anything, he was not by any means\nprepared for nothing; and consequently, when the bell struck One, and no\nshape appeared, he was taken with a violent fit of trembling. Five\nminutes, ten minutes, a quarter of an hour went by, yet nothing came.\nAll this time he lay upon his bed, the very core and centre of a blaze\nof ruddy light, which streamed upon it when the clock proclaimed the\nhour; and which, being only light, was more alarming than a dozen\nghosts, as he was powerless to make out what it meant, or would be at;\nand was sometimes apprehensive that he might be at that very moment an\ninteresting case of spontaneous combustion, without having the\nconsolation of knowing it. At last, however, he began to think--as you\nor I would have thought at first; for it is always the person not in the\npredicament who knows what ought to have been done in it, and would\nunquestionably have done it too--at last, I say, he began to think that\nthe source and secret of this ghostly light might be in the adjoining\nroom, from whence, on further tracing it, it seemed to shine. This idea\ntaking full possession of his mind, he got up softly, and shuffled in\nhis slippers to the door.\n\nThe moment Scrooge's hand was on the lock a strange voice called him by\nhis name, and bade him enter. He obeyed.\n\nIt was his own room. There was no doubt about that. But it had undergone\na surprising transformation. The walls and ceiling were so hung with\nliving green, that it looked a perfect grove; from every part of which\nbright gleaming berries glistened. The crisp leaves of holly, mistletoe,\nand ivy reflected back the light, as if so many little mirrors had been\nscattered there; and such a mighty blaze went roaring up the chimney as\nthat dull petrification of a hearth had never known in Scrooge's time,\nor Marley's, or for many and many a winter season gone. Heaped up on the\nfloor, to form a kind of throne, were turkeys, geese, game, poultry,\nbrawn, great joints of meat, sucking-pigs, long wreaths of sausages,\nmince-pies, plum-puddings, barrels of oysters, red-hot chestnuts,\ncherry-cheeked apples, juicy oranges, luscious pears, immense\ntwelfth-cakes, and seething bowls of punch, that made the chamber dim\nwith their delicious steam. In easy state upon this couch there sat a\njolly Giant, glorious to see; who bore a glowing torch, in shape not\nunlike Plenty's horn, and held it up, high up, to shed its light on\nScrooge as he came peeping round the door.\n\n'Come in!' exclaimed the Ghost. 'Come in! and know me better, man!'\n\nScrooge entered timidly, and hung his head before this Spirit. He was\nnot the dogged Scrooge he had been; and though the Spirit's eyes were\nclear and kind, he did not like to meet them.\n\n'I am the Ghost of Christmas Present,' said the Spirit. 'Look upon me!'\n\nScrooge reverently did so. It was clothed in one simple deep green robe,\nor mantle, bordered with white fur. This garment hung so loosely on the\nfigure, that its capacious breast was bare, as if disdaining to be\nwarded or concealed by any artifice. Its feet, observable beneath the\nample folds of the garment, were also bare; and on its head it wore no\nother covering than a holly wreath, set here and there with shining\nicicles. Its dark-brown curls were long and free; free as its genial\nface, its sparkling eye, its open hand, its cheery voice, its\nunconstrained demeanour, and its joyful air. Girded round its middle was\nan antique scabbard: but no sword was in it, and the ancient sheath was\neaten up with rust.\n\n'You have never seen the like of me before!' exclaimed the Spirit.\n\n'Never,' Scrooge made answer to it.\n\n'Have never walked forth with the younger members of my family; meaning\n(for I am very young) my elder brothers born in these later years?'\npursued the Phantom.\n\n'I don't think I have,' said Scrooge. 'I am afraid I have not. Have you\nhad many brothers, Spirit?'\n\n'More than eighteen hundred,' said the Ghost.\n\n'A tremendous family to provide for,' muttered Scrooge.\n\nThe Ghost of Christmas Present rose.\n\n'Spirit,' said Scrooge submissively, 'conduct me where you will. I went\nforth last night on compulsion, and I learned a lesson which is working\nnow. To-night if you have aught to teach me, let me profit by it.'\n\n'Touch my robe!'\n\nScrooge did as he was told, and held it fast.\n\nHolly, mistletoe, red berries, ivy, turkeys, geese, game, poultry,\nbrawn, meat, pigs, sausages, oysters, pies, puddings, fruit, and punch,\nall vanished instantly. So did the room, the fire, the ruddy glow, the\nhour of night, and they stood in the city streets on Christmas morning,\nwhere (for the weather was severe) the people made a rough, but brisk\nand not unpleasant kind of music, in scraping the snow from the pavement\nin front of their dwellings, and from the tops of their houses, whence\nit was mad delight to the boys to see it come plumping down into the\nroad below, and splitting into artificial little snowstorms.\n\nThe house-fronts looked black enough, and the windows blacker,\ncontrasting with the smooth white sheet of snow upon the roofs, and with\nthe dirtier snow upon the ground; which last deposit had been ploughed\nup in deep furrows by the heavy wheels of carts and waggons: furrows\nthat crossed and recrossed each other hundreds of times where the great\nstreets branched off; and made intricate channels, hard to trace in the\nthick yellow mud and icy water. The sky was gloomy, and the shortest\nstreets were choked up with a dingy mist, half thawed, half frozen,\nwhose heavier particles descended in a shower of sooty atoms, as if all\nthe chimneys in Great Britain had, by one consent, caught fire, and were\nblazing away to their dear heart's content. There was nothing very\ncheerful in the climate or the town, and yet was there an air of\ncheerfulness abroad that the clearest summer air and brightest summer\nsun might have endeavoured to diffuse in vain.\n\n[Illustration: THERE WAS NOTHING VERY CHEERFUL IN THE CLIMATE]\n\nFor the people who were shovelling away on the house-tops were jovial\nand full of glee; calling out to one another from the parapets, and now\nand then exchanging a facetious snowball--better-natured missile far\nthan many a wordy jest--laughing heartily if it went right, and not less\nheartily if it went wrong. The poulterers' shops were still half open,\nand the fruiterers' were radiant in their glory. There were great,\nround, pot-bellied baskets of chestnuts, shaped like the waistcoats of\njolly old gentlemen, lolling at the doors, and tumbling out into the\nstreet in their apoplectic opulence: There were ruddy, brown-faced,\nbroad-girthed Spanish onions, shining in the fatness of their growth\nlike Spanish friars, and winking from their shelves in wanton slyness at\nthe girls as they went by, and glanced demurely at the hung-up\nmistletoe. There were pears and apples clustered high in blooming\npyramids; there were bunches of grapes, made, in the shopkeepers'\nbenevolence, to dangle from conspicuous hooks that people's mouths might\nwater gratis as they passed; there were piles of filberts, mossy and\nbrown, recalling, in their fragrance, ancient walks among the woods, and\npleasant shufflings ankle deep through withered leaves; there were\nNorfolk Biffins, squab and swarthy, setting off the yellow of the\noranges and lemons, and, in the great compactness of their juicy\npersons, urgently entreating and beseeching to be carried home in paper\nbags and eaten after dinner. The very gold and silver fish, set forth\namong these choice fruits in a bowl, though members of a dull and\nstagnant-blooded race, appeared to know that there was something going\non; and, to a fish, went gasping round and round their little world in\nslow and passionless excitement.\n\nThe Grocers'! oh, the Grocers'! nearly closed, with perhaps two shutters\ndown, or one; but through those gaps such glimpses! It was not alone\nthat the scales descending on the counter made a merry sound, or that\nthe twine and roller parted company so briskly, or that the canisters\nwere rattled up and down like juggling tricks, or even that the blended\nscents of tea and coffee were so grateful to the nose, or even that the\nraisins were so plentiful and rare, the almonds so extremely white, the\nsticks of cinnamon so long and straight, the other spices so delicious,\nthe candied fruits so caked and spotted with molten sugar as to make the\ncoldest lookers-on feel faint, and subsequently bilious. Nor was it that\nthe figs were moist and pulpy, or that the French plums blushed in\nmodest tartness from their highly-decorated boxes, or that everything\nwas good to eat and in its Christmas dress; but the customers were all\nso hurried and so eager in the hopeful promise of the day, that they\ntumbled up against each other at the door, crashing their wicker baskets\nwildly, and left their purchases upon the counter, and came running\nback to fetch them, and committed hundreds of the like mistakes, in the\nbest humour possible; while the grocer and his people were so frank and\nfresh, that the polished hearts with which they fastened their aprons\nbehind might have been their own, worn outside for general inspection,\nand for Christmas daws to peck at if they chose.\n\nBut soon the steeples called good people all to church and chapel, and\naway they came, flocking through the streets in their best clothes and\nwith their gayest faces. And at the same time there emerged, from scores\nof by-streets, lanes, and nameless turnings, innumerable people,\ncarrying their dinners to the bakers' shops. The sight of these poor\nrevellers appeared to interest the Spirit very much, for he stood with\nScrooge beside him in a baker's doorway, and, taking off the covers as\ntheir bearers passed, sprinkled incense on their dinners from his torch.\nAnd it was a very uncommon kind of torch, for once or twice, when there\nwere angry words between some dinner-carriers who had jostled each\nother, he shed a few drops of water on them from it, and their\ngood-humour was restored directly. For they said, it was a shame to\nquarrel upon Christmas Day. And so it was! God love it, so it was!\n\nIn time the bells ceased, and the bakers were shut up; and yet there was\na genial shadowing forth of all these dinners, and the progress of their\ncooking, in the thawed blotch of wet above each baker's oven, where the\npavement smoked as if its stones were cooking too.\n\n'Is there a peculiar flavour in what you sprinkle from your torch?'\nasked Scrooge.\n\n'There is. My own.'\n\n'Would it apply to any kind of dinner on this day?' asked Scrooge.\n\n'To any kindly given. To a poor one most.'\n\n'Why to a poor one most?' asked Scrooge.\n\n'Because it needs it most.'\n\n'Spirit!' said Scrooge, after a moment's thought, 'I wonder you, of all\nthe beings in the many worlds about us, should desire to cramp these\npeople's opportunities of innocent enjoyment.\n\n'I!' cried the Spirit.\n\n'You would deprive them of their means of dining every seventh day,\noften the only day on which they can be said to dine at all,' said\nScrooge; 'wouldn't you?'\n\n'I!' cried the Spirit.\n\n'You seek to close these places on the Seventh Day,' said Scrooge. 'And\nit comes to the same thing.'\n\n'I seek!' exclaimed the Spirit.\n\n'Forgive me if I am wrong. It has been done in your name, or at least in\nthat of your family,' said Scrooge.\n\n'There are some upon this earth of yours,' returned the Spirit, 'who\nlay claim to know us, and who do their deeds of passion, pride,\nill-will, hatred, envy, bigotry, and selfishness in our name, who are as\nstrange to us, and all our kith and kin, as if they had never lived.\nRemember that, and charge their doings on themselves, not us.'\n\nScrooge promised that he would; and they went on, invisible, as they had\nbeen before, into the suburbs of the town. It was a remarkable quality\nof the Ghost (which Scrooge had observed at the baker's), that\nnotwithstanding his gigantic size, he could accommodate himself to any\nplace with ease; and that he stood beneath a low roof quite as\ngracefully and like a supernatural creature as it was possible he could\nhave done in any lofty hall.\n\nAnd perhaps it was the pleasure the good Spirit had in showing off this\npower of his, or else it was his own kind, generous, hearty nature, and\nhis sympathy with all poor men, that led him straight to Scrooge's\nclerk's; for there he went, and took Scrooge with him, holding to his\nrobe; and on the threshold of the door the Spirit smiled, and stopped to\nbless Bob Cratchit's dwelling with the sprinklings of his torch. Think\nof that! Bob had but fifteen 'Bob' a week himself; he pocketed on\nSaturdays but fifteen copies of his Christian name; and yet the Ghost of\nChristmas Present blessed his four-roomed house!\n\nThen up rose Mrs. Cratchit, Cratchit's wife, dressed out but poorly in a\ntwice-turned gown, but brave in ribbons, which are cheap, and make a\ngoodly show for sixpence; and she laid the cloth, assisted by Belinda\nCratchit, second of her daughters, also brave in ribbons; while Master\nPeter Cratchit plunged a fork into the saucepan of potatoes, and getting\nthe corners of his monstrous shirt-collar (Bob's private property,\nconferred upon his son and heir in honour of the day,) into his mouth,\nrejoiced to find himself so gallantly attired, and yearned to show his\nlinen in the fashionable Parks. And now two smaller Cratchits, boy and\ngirl, came tearing in, screaming that outside the baker's they had smelt\nthe goose, and known it for their own; and basking in luxurious thoughts\nof sage and onion, these young Cratchits danced about the table, and\nexalted Master Peter Cratchit to the skies, while he (not proud,\nalthough his collars nearly choked him) blew the fire, until the slow\npotatoes, bubbling up, knocked loudly at the saucepan-lid to be let out\nand peeled.\n\n'What has ever got your precious father, then?' said Mrs. Cratchit. 'And\nyour brother, Tiny Tim? And Martha warn't as late last Christmas Day by\nhalf an hour!'\n\n'Here's Martha, mother!' said a girl, appearing as she spoke.\n\n'Here's Martha, mother!' cried the two young Cratchits. 'Hurrah! There's\n_such_ a goose, Martha!'\n\n'Why, bless your heart alive, my dear, how late you are!' said Mrs.\nCratchit, kissing her a dozen times, and taking off her shawl and bonnet\nfor her with officious zeal.\n\n'We'd a deal of work to finish up last night,' replied the girl, 'and\nhad to clear away this morning, mother!'\n\n'Well! never mind so long as you are come,' said Mrs. Cratchit. 'Sit ye\ndown before the fire, my dear, and have a warm, Lord bless ye!'\n\n'No, no! There's father coming,' cried the two young Cratchits, who were\neverywhere at once. 'Hide, Martha, hide!'\n\nSo Martha hid herself, and in came little Bob, the father, with at least\nthree feet of comforter, exclusive of the fringe, hanging down before\nhim, and his threadbare clothes darned up and brushed to look\nseasonable, and Tiny Tim upon his shoulder. Alas for Tiny Tim, he bore a\nlittle crutch, and had his limbs supported by an iron frame!\n\n'Why, where's our Martha?' cried Bob Cratchit, looking round.\n\n'Not coming,' said Mrs. Cratchit.\n\n'Not coming!' said Bob, with a sudden declension in his high spirits;\nfor he had been Tim's blood-horse all the way from church, and had come\nhome rampant. 'Not coming upon Christmas Day!'\n\nMartha didn't like to see him disappointed, if it were only in joke; so\nshe came out prematurely from behind the closet door, and ran into his\narms, while the two young Cratchits hustled Tiny Tim, and bore him off\ninto the wash-house, that he might hear the pudding singing in the\ncopper.\n\n'And how did little Tim behave?' asked Mrs. Cratchit when she had\nrallied Bob on his credulity, and Bob had hugged his daughter to his\nheart's content.\n\n'As good as gold,' said Bob, 'and better. Somehow, he gets thoughtful,\nsitting by himself so much, and thinks the strangest things you ever\nheard. He told me, coming home, that he hoped the people saw him in the\nchurch, because he was a cripple, and it might be pleasant to them to\nremember upon Christmas Day who made lame beggars walk and blind men\nsee.'\n\nBob's voice was tremulous when he told them this, and trembled more when\nhe said that Tiny Tim was growing strong and hearty.\n\nHis active little crutch was heard upon the floor, and back came Tiny\nTim before another word was spoken, escorted by his brother and\nsister to his stool beside the fire; and while Bob, turning up his\ncuffs--as if, poor fellow, they were capable of being made more\nshabby--compounded some hot mixture in a jug with gin and lemons, and\nstirred it round and round, and put it on the hob to simmer, Master\nPeter and the two ubiquitous young Cratchits went to fetch the goose,\nwith which they soon returned in high procession.\n\n[Illustration]\n\nSuch a bustle ensued that you might have thought a goose the rarest of\nall birds; a feathered phenomenon, to which a black swan was a matter of\ncourse--and, in truth, it was something very like it in that house. Mrs.\nCratchit made the gravy (ready beforehand in a little saucepan) hissing\nhot; Master Peter mashed the potatoes with incredible vigour; Miss\nBelinda sweetened up the apple sauce; Martha dusted the hot plates; Bob\ntook Tiny Tim beside him in a tiny corner at the table; the two young\nCratchits set chairs for everybody, not forgetting themselves, and,\nmounting guard upon their posts, crammed spoons into their mouths, lest\nthey should shriek for goose before their turn came to be helped. At\nlast the dishes were set on, and grace was said. It was succeeded by a\nbreathless pause, as Mrs. Cratchit, looking slowly all along the\ncarving-knife, prepared to plunge it in the breast; but when she did,\nand when the long-expected gush of stuffing issued forth, one murmur of\ndelight arose all round the board, and even Tiny Tim, excited by the two\nyoung Cratchits, beat on the table with the handle of his knife and\nfeebly cried Hurrah!\n\n[Illustration: HE HAD BEEN TIM'S BLOOD-HORSE ALL THE WAY FROM CHURCH]\n\nThere never was such a goose. Bob said he didn't believe there ever was\nsuch a goose cooked. Its tenderness and flavour, size and cheapness,\nwere the themes of universal admiration. Eked out by apple sauce and\nmashed potatoes, it was a sufficient dinner for the whole family;\nindeed, as Mrs. Cratchit said with great delight (surveying one small\natom of a bone upon the dish), they hadn't ate it all at last! Yet every\none had had enough, and the youngest Cratchits, in particular, were\nsteeped in sage and onion to the eyebrows! But now, the plates being\nchanged by Miss Belinda, Mrs. Cratchit left the room alone--too nervous\nto bear witnesses--to take the pudding up, and bring it in.\n\nSuppose it should not be done enough! Suppose it should break in turning\nout! Suppose somebody should have got over the wall of the back-yard and\nstolen it, while they were merry with the goose--a supposition at which\nthe two young Cratchits became livid! All sorts of horrors were\nsupposed.\n\nHallo! A great deal of steam! The pudding was out of the copper. A smell\nlike a washing-day! That was the cloth. A smell like an eating-house and\na pastry-cook's next door to each other, with a laundress's next door to\nthat! That was the pudding! In half a minute Mrs. Cratchit\nentered--flushed, but smiling proudly--with the pudding, like a speckled\ncannon-ball, so hard and firm, blazing in half of half-a-quartern of\nignited brandy, and bedight with Christmas holly stuck into the top.\n\nOh, a wonderful pudding! Bob Cratchit said, and calmly too, that he\nregarded it as the greatest success achieved by Mrs. Cratchit since\ntheir marriage. Mrs. Cratchit said that, now the weight was off her\nmind, she would confess she had her doubts about the quantity of flour.\nEverybody had something to say about it, but nobody said or thought it\nwas at all a small pudding for a large family. It would have been flat\nheresy to do so. Any Cratchit would have blushed to hint at such a\nthing.\n\n[Illustration: WITH THE PUDDING]\n\nAt last the dinner was all done, the cloth was cleared, the hearth\nswept, and the fire made up. The compound in the jug being tasted and\nconsidered perfect, apples and oranges were put upon the table, and a\nshovel full of chestnuts on the fire. Then all the Cratchit family\ndrew round the hearth in what Bob Cratchit called a circle, meaning half\na one; and at Bob Cratchit's elbow stood the family display of glass.\nTwo tumblers and a custard cup without a handle.\n\nThese held the hot stuff from the jug, however, as well as golden\ngoblets would have done; and Bob served it out with beaming looks, while\nthe chestnuts on the fire sputtered and cracked noisily. Then Bob\nproposed:\n\n'A merry Christmas to us all, my dears. God bless us!'\n\nWhich all the family re-echoed.\n\n'God bless us every one!' said Tiny Tim, the last of all.\n\nHe sat very close to his father's side, upon his little stool. Bob held\nhis withered little hand to his, as if he loved the child, and wished to\nkeep him by his side, and dreaded that he might be taken from him.\n\n'Spirit,' said Scrooge, with an interest he had never felt before, 'tell\nme if Tiny Tim will live.'\n\n'I see a vacant seat,' replied the Ghost, 'in the poor chimney corner,\nand a crutch without an owner, carefully preserved. If these shadows\nremain unaltered by the Future, the child will die.'\n\n'No, no,' said Scrooge. 'Oh no, kind Spirit! say he will be spared.'\n\n'If these shadows remain unaltered by the Future none other of my race,'\nreturned the Ghost, 'will find him here. What then? If he be like to\ndie, he had better do it, and decrease the surplus population.'\n\nScrooge hung his head to hear his own words quoted by the Spirit, and\nwas overcome with penitence and grief.\n\n'Man,' said the Ghost, 'if man you be in heart, not adamant, forbear\nthat wicked cant until you have discovered what the surplus is, and\nwhere it is. Will you decide what men shall live, what men shall die? It\nmay be that, in the sight of Heaven, you are more worthless and less fit\nto live than millions like this poor man's child. O God! to hear the\ninsect on the leaf pronouncing on the too much life among his hungry\nbrothers in the dust!'\n\nScrooge bent before the Ghost's rebuke, and, trembling, cast his eyes\nupon the ground. But he raised them speedily on hearing his own name.\n\n'Mr. Scrooge!' said Bob. 'I'll give you Mr. Scrooge, the Founder of the\nFeast!'\n\n'The Founder of the Feast, indeed!' cried Mrs. Cratchit, reddening. 'I\nwish I had him here. I'd give him a piece of my mind to feast upon, and\nI hope he'd have a good appetite for it.'\n\n'My dear,' said Bob, 'the children! Christmas Day.'\n\n'It should be Christmas Day, I am sure,' said she, 'on which one drinks\nthe health of such an odious, stingy, hard, unfeeling man as Mr.\nScrooge. You know he is, Robert! Nobody knows it better than you do,\npoor fellow!'\n\n'My dear!' was Bob's mild answer. 'Christmas Day.'\n\n'I'll drink his health for your sake and the Day's,' said Mrs. Cratchit,\n'not for his. Long life to him! A merry Christmas and a happy New Year!\nHe'll be very merry and very happy, I have no doubt!'\n\nThe children drank the toast after her. It was the first of their\nproceedings which had no heartiness in it. Tiny Tim drank it last of\nall, but he didn't care twopence for it. Scrooge was the Ogre of the\nfamily. The mention of his name cast a dark shadow on the party, which\nwas not dispelled for full five minutes.\n\nAfter it had passed away they were ten times merrier than before, from\nthe mere relief of Scrooge the Baleful being done with. Bob Cratchit\ntold them how he had a situation in his eye for Master Peter, which\nwould bring in, if obtained, full five-and-sixpence weekly. The two\nyoung Cratchits laughed tremendously at the idea of Peter's being a man\nof business; and Peter himself looked thoughtfully at the fire from\nbetween his collars, as if he were deliberating what particular\ninvestments he should favour when he came into the receipt of that\nbewildering income. Martha, who was a poor apprentice at a milliner's,\nthen told them what kind of work she had to do, and how many hours she\nworked at a stretch and how she meant to lie abed to-morrow morning for\na good long rest; to-morrow being a holiday she passed at home. Also how\nshe had seen a countess and a lord some days before, and how the lord\n'was much about as tall as Peter'; at which Peter pulled up his collar\nso high that you couldn't have seen his head if you had been there. All\nthis time the chestnuts and the jug went round and round; and by-and-by\nthey had a song, about a lost child travelling in the snow, from Tiny\nTim, who had a plaintive little voice, and sang it very well indeed.\n\nThere was nothing of high mark in this. They were not a handsome family;\nthey were not well dressed; their shoes were far from being waterproof;\ntheir clothes were scanty; and Peter might have known, and very likely\ndid, the inside of a pawnbroker's. But they were happy, grateful,\npleased with one another, and contented with the time; and when they\nfaded, and looked happier yet in the bright sprinklings of the Spirit's\ntorch at parting, Scrooge had his eye upon them, and especially on Tiny\nTim, until the last.\n\nBy this time it was getting dark, and snowing pretty heavily; and as\nScrooge and the Spirit went along the streets, the brightness of the\nroaring fires in kitchens, parlours, and all sorts of rooms was\nwonderful. Here, the flickering of the blaze showed preparations for a\ncosy dinner, with hot plates baking through and through before the fire,\nand deep red curtains, ready to be drawn to shut out cold and darkness.\nThere, all the children of the house were running out into the snow to\nmeet their married sisters, brothers, cousins, uncles, aunts, and be the\nfirst to greet them. Here, again, were shadows on the window-blinds of\nguests assembling; and there a group of handsome girls, all hooded and\nfur-booted, and all chattering at once, tripped lightly off to some near\nneighbour's house; where, woe upon the single man who saw them\nenter--artful witches, well they knew it--in a glow!\n\nBut, if you had judged from the numbers of people on their way to\nfriendly gatherings, you might have thought that no one was at home to\ngive them welcome when they got there, instead of every house expecting\ncompany, and piling up its fires half-chimney high. Blessings on it, how\nthe Ghost exulted! How it bared its breadth of breast, and opened its\ncapacious palm, and floated on, outpouring with a generous hand its\nbright and harmless mirth on everything within its reach! The very\nlamplighter, who ran on before, dotting the dusky street with specks of\nlight, and who was dressed to spend the evening somewhere, laughed out\nloudly as the Spirit passed, though little kenned the lamplighter that\nhe had any company but Christmas.\n\nAnd now, without a word of warning from the Ghost, they stood upon a\nbleak and desert moor, where monstrous masses of rude stone were cast\nabout, as though it were the burial-place of giants; and water spread\nitself wheresoever it listed; or would have done so, but for the frost\nthat held it prisoner; and nothing grew but moss and furze, and coarse,\nrank grass. Down in the west the setting sun had left a streak of fiery\nred, which glared upon the desolation for an instant, like a sullen eye,\nand frowning lower, lower, lower yet, was lost in the thick gloom of\ndarkest night.\n\n'What place is this?' asked Scrooge.\n\n'A place where miners live, who labour in the bowels of the earth,'\nreturned the Spirit. 'But they know me. See!'\n\nA light shone from the window of a hut, and swiftly they advanced\ntowards it. Passing through the wall of mud and stone, they found a\ncheerful company assembled round a glowing fire. An old, old man and\nwoman, with their children and their children's children, and another\ngeneration beyond that, all decked out gaily in their holiday attire.\nThe old man, in a voice that seldom rose above the howling of the wind\nupon the barren waste, was singing them a Christmas song; it had been a\nvery old song when he was a boy; and from time to time they all joined\nin the chorus. So surely as they raised their voices, the old man got\nquite blithe and loud; and so surely as they stopped, his vigour sank\nagain.\n\nThe Spirit did not tarry here, but bade Scrooge hold his robe, and,\npassing on above the moor, sped whither? Not to sea? To sea. To\nScrooge's horror, looking back, he saw the last of the land, a frightful\nrange of rocks, behind them; and his ears were deafened by the\nthundering of water, as it rolled and roared, and raged among the\ndreadful caverns it had worn, and fiercely tried to undermine the earth.\n\nBuilt upon a dismal reef of sunken rocks, some league or so from shore,\non which the waters chafed and dashed, the wild year through, there\nstood a solitary lighthouse. Great heaps of seaweed clung to its base,\nand storm-birds--born of the wind, one might suppose, as seaweed of the\nwater--rose and fell about it, like the waves they skimmed.\n\nBut, even here, two men who watched the light had made a fire, that\nthrough the loophole in the thick stone wall shed out a ray of\nbrightness on the awful sea. Joining their horny hands over the rough\ntable at which they sat, they wished each other Merry Christmas in their\ncan of grog; and one of them--the elder too, with his face all damaged\nand scarred with hard weather, as the figure-head of an old ship might\nbe--struck up a sturdy song that was like a gale in itself.\n\nAgain the Ghost sped on, above the black and heaving sea--on, on--until\nbeing far away, as he told Scrooge, from any shore, they lighted on a\nship. They stood beside the helmsman at the wheel, the look-out in the\nbow, the officers who had the watch; dark, ghostly figures in their\nseveral stations; but every man among them hummed a Christmas tune, or\nhad a Christmas thought, or spoke below his breath to his companion of\nsome bygone Christmas Day, with homeward hopes belonging to it. And\nevery man on board, waking or sleeping, good or bad, had had a kinder\nword for one another on that day than on any day in the year; and had\nshared to some extent in its festivities; and had remembered those he\ncared for at a distance, and had known that they delighted to remember\nhim.\n\nIt was a great surprise to Scrooge, while listening to the moaning of\nthe wind, and thinking what a solemn thing it was to move on through the\nlonely darkness over an unknown abyss, whose depths were secrets as\nprofound as death: it was a great surprise to Scrooge, while thus\nengaged, to hear a hearty laugh. It was a much greater surprise to\nScrooge to recognise it as his own nephew's and to find himself in a\nbright, dry, gleaming room, with the Spirit standing smiling by his\nside, and looking at that same nephew with approving affability!\n\n'Ha, ha!' laughed Scrooge's nephew. 'Ha, ha, ha!'\n\nIf you should happen, by any unlikely chance, to know a man more blessed\nin a laugh than Scrooge's nephew, all I can say is, I should like to\nknow him too. Introduce him to me, and I'll cultivate his acquaintance.\n\nIt is a fair, even-handed, noble adjustment of things, that while there\nis infection in disease and sorrow, there is nothing in the world so\nirresistibly contagious as laughter and good-humour. When Scrooge's\nnephew laughed in this way--holding his sides, rolling his head, and\ntwisting his face into the most extravagant contortions--Scrooge's\nniece, by marriage, laughed as heartily as he. And their assembled\nfriends, being not a bit behindhand, roared out lustily.\n\n'Ha, ha! Ha, ha, ha, ha!'\n\n'He said that Christmas was a humbug, as I live!' cried Scrooge's\nnephew. 'He believed it, too!'\n\n'More shame for him, Fred!' said Scrooge's niece indignantly. Bless\nthose women! they never do anything by halves. They are always in\nearnest.\n\nShe was very pretty; exceedingly pretty. With a dimpled,\nsurprised-looking, capital face; a ripe little mouth, that seemed made\nto be kissed--as no doubt it was; all kinds of good little dots about\nher chin, that melted into one another when she laughed; and the\nsunniest pair of eyes you ever saw in any little creature's head.\nAltogether she was what you would have called provoking, you know; but\nsatisfactory, too. Oh, perfectly satisfactory!\n\n'He's a comical old fellow,' said Scrooge's nephew, 'that's the truth;\nand not so pleasant as he might be. However, his offences carry their\nown punishment, and I have nothing to say against him.'\n\n'I'm sure he is very rich, Fred,' hinted Scrooge's niece. 'At least, you\nalways tell _me_ so.'\n\n'What of that, my dear?' said Scrooge's nephew. 'His wealth is of no use\nto him. He don't do any good with it. He don't make himself comfortable\nwith it. He hasn't the satisfaction of thinking--ha, ha, ha!--that he is\never going to benefit Us with it.'\n\n'I have no patience with him,' observed Scrooge's niece. Scrooge's\nniece's sisters, and all the other ladies, expressed the same opinion.\n\n'Oh, I have!' said Scrooge's nephew. 'I am sorry for him; I couldn't be\nangry with him if I tried. Who suffers by his ill whims? Himself always.\nHere he takes it into his head to dislike us, and he won't come and dine\nwith us. What's the consequence? He don't lose much of a dinner.'\n\n'Indeed, I think he loses a very good dinner,' interrupted Scrooge's\nniece. Everybody else said the same, and they must be allowed to have\nbeen competent judges, because they had just had dinner; and with the\ndessert upon the table, were clustered round the fire, by lamplight.\n\n'Well! I am very glad to hear it,' said Scrooge's nephew, 'because I\nhaven't any great faith in these young housekeepers. What do _you_ say,\nTopper?'\n\nTopper had clearly got his eye upon one of Scrooge's niece's sisters,\nfor he answered that a bachelor was a wretched outcast, who had no right\nto express an opinion on the subject. Whereat Scrooge's niece's\nsister--the plump one with the lace tucker: not the one with the\nroses--blushed.\n\n'Do go on, Fred,' said Scrooge's niece, clapping her hands. 'He never\nfinishes what he begins to say! He is such a ridiculous fellow!'\n\nScrooge's nephew revelled in another laugh, and as it was impossible to\nkeep the infection off, though the plump sister tried hard to do it with\naromatic vinegar, his example was unanimously followed.\n\n'I was only going to say,' said Scrooge's nephew, 'that the consequence\nof his taking a dislike to us, and not making merry with us, is, as I\nthink, that he loses some pleasant moments, which could do him no harm.\nI am sure he loses pleasanter companions than he can find in his own\nthoughts, either in his mouldy old office or his dusty chambers. I mean\nto give him the same chance every year, whether he likes it or not, for\nI pity him. He may rail at Christmas till he dies, but he can't help\nthinking better of it--I defy him--if he finds me going there, in good\ntemper, year after year, and saying, \"Uncle Scrooge, how are you?\" If it\nonly put him in the vein to leave his poor clerk fifty pounds, _that's_\nsomething; and I think I shook him yesterday.'\n\nIt was their turn to laugh now, at the notion of his shaking Scrooge.\nBut being thoroughly good-natured, and not much caring what they laughed\nat, so that they laughed at any rate, he encouraged them in their\nmerriment, and passed the bottle, joyously.\n\nAfter tea they had some music. For they were a musical family, and knew\nwhat they were about when they sung a Glee or Catch, I can assure you:\nespecially Topper, who could growl away in the bass like a good one, and\nnever swell the large veins in his forehead, or get red in the face over\nit. Scrooge's niece played well upon the harp; and played, among other\ntunes, a simple little air (a mere nothing: you might learn to whistle\nit in two minutes) which had been familiar to the child who fetched\nScrooge from the boarding-school, as he had been reminded by the Ghost\nof Christmas Past. When this strain of music sounded, all the things\nthat Ghost had shown him came upon his mind; he softened more and more;\nand thought that if he could have listened to it often, years ago, he\nmight have cultivated the kindnesses of life for his own happiness with\nhis own hands, without resorting to the sexton's spade that buried Jacob\nMarley.\n\n[Illustration: _The way he went after that plump sister in the lace\ntucker!_]\n\nBut they didn't devote the whole evening to music. After a while they\nplayed at forfeits; for it is good to be children sometimes, and never\nbetter than at Christmas, when its mighty Founder was a child himself.\nStop! There was first a game at blind man's-buff. Of course there was.\nAnd I no more believe Topper was really blind than I believe he had eyes\nin his boots. My opinion is, that it was a done thing between him and\nScrooge's nephew; and that the Ghost of Christmas Present knew it. The\nway he went after that plump sister in the lace tucker was an outrage on\nthe credulity of human nature. Knocking down the fire-irons, tumbling\nover the chairs, bumping up against the piano, smothering himself\namongst the curtains, wherever she went, there went he! He always knew\nwhere the plump sister was. He wouldn't catch anybody else. If you had\nfallen up against him (as some of them did) on purpose, he would have\nmade a feint of endeavouring to seize you, which would have been an\naffront to your understanding, and would instantly have sidled off in\nthe direction of the plump sister. She often cried out that it wasn't\nfair; and it really was not. But when, at last, he caught her; when, in\nspite of all her silken rustlings, and her rapid flutterings past him,\nhe got her into a corner whence there was no escape; then his conduct\nwas the most execrable. For his pretending not to know her; his\npretending that it was necessary to touch her head-dress, and further to\nassure himself of her identity by pressing a certain ring upon her\nfinger, and a certain chain about her neck; was vile, monstrous! No\ndoubt she told him her opinion of it when, another blind man being in\noffice, they were so very confidential together behind the curtains.\n\nScrooge's niece was not one of the blind man's-buff party, but was made\ncomfortable with a large chair and a footstool, in a snug corner where\nthe Ghost and Scrooge were close behind her. But she joined in the\nforfeits, and loved her love to admiration with all the letters of the\nalphabet. Likewise at the game of How, When, and Where, she was very\ngreat, and, to the secret joy of Scrooge's nephew, beat her sisters\nhollow; though they were sharp girls too, as Topper could have told you.\nThere might have been twenty people there, young and old, but they all\nplayed, and so did Scrooge; for wholly forgetting, in the interest he\nhad in what was going on, that his voice made no sound in their ears, he\nsometimes came out with his guess quite loud, and very often guessed\nright, too; for the sharpest needle, best Whitechapel, warranted not to\ncut in the eye, was not sharper than Scrooge, blunt as he took it in\nhis head to be.\n\nThe Ghost was greatly pleased to find him in this mood, and looked upon\nhim with such favour that he begged like a boy to be allowed to stay\nuntil the guests departed. But this the Spirit said could not be done.\n\n'Here is a new game,' said Scrooge. 'One half-hour, Spirit, only one!'\n\nIt was a game called Yes and No, where Scrooge's nephew had to think of\nsomething, and the rest must find out what, he only answering to their\nquestions yes or no, as the case was. The brisk fire of questioning to\nwhich he was exposed elicited from him that he was thinking of an\nanimal, a live animal, rather a disagreeable animal, a savage animal, an\nanimal that growled and grunted sometimes, and talked sometimes and\nlived in London, and walked about the streets, and wasn't made a show\nof, and wasn't led by anybody, and didn't live in a menagerie, and was\nnever killed in a market, and was not a horse, or an ass, or a cow, or a\nbull, or a tiger, or a dog, or a pig, or a cat, or a bear. At every\nfresh question that was put to him, this nephew burst into a fresh roar\nof laughter; and was so inexpressibly tickled, that he was obliged to\nget up off the sofa and stamp. At last the plump sister, falling into a\nsimilar state, cried out:\n\n'I have found it out! I know what it is, Fred! I know what it is!'\n\n'What is it?' cried Fred.\n\n'It's your uncle Scro-o-o-o-oge.'\n\nWhich it certainly was. Admiration was the universal sentiment, though\nsome objected that the reply to 'Is it a bear?' ought to have been\n'Yes'; inasmuch as an answer in the negative was sufficient to have\ndiverted their thoughts from Mr. Scrooge, supposing they had ever had\nany tendency that way.\n\n'He has given us plenty of merriment, I am sure,' said Fred, 'and it\nwould be ungrateful not to drink his health. Here is a glass of mulled\nwine ready to our hand at the moment; and I say, \"Uncle Scrooge!\"'\n\n'Well! Uncle Scrooge!' they cried.\n\n'A merry Christmas and a happy New Year to the old man, whatever he is!'\nsaid Scrooge's nephew. 'He wouldn't take it from me, but may he have it,\nnevertheless. Uncle Scrooge!'\n\nUncle Scrooge had imperceptibly become so gay and light of heart, that\nhe would have pledged the unconscious company in return, and thanked\nthem in an inaudible speech, if the Ghost had given him time. But the\nwhole scene passed off in the breath of the last word spoken by his\nnephew; and he and the Spirit were again upon their travels.\n\nMuch they saw, and far they went, and many homes they visited, but\nalways with a happy end. The Spirit stood beside sick-beds, and they\nwere cheerful; on foreign lands, and they were close at home; by\nstruggling men, and they were patient in their greater hope; by poverty,\nand it was rich. In almshouse, hospital, and gaol, in misery's every\nrefuge, where vain man in his little brief authority had not made fast\nthe door, and barred the Spirit out, he left his blessing and taught\nScrooge his precepts.\n\nIt was a long night, if it were only a night; but Scrooge had his doubts\nof this, because the Christmas holidays appeared to be condensed into\nthe space of time they passed together. It was strange, too, that, while\nScrooge remained unaltered in his outward form, the Ghost grew older,\nclearly older. Scrooge had observed this change, but never spoke of it\nuntil they left a children's Twelfth-Night party, when, looking at the\nSpirit as they stood together in an open place, he noticed that its hair\nwas grey.\n\n'Are spirits' lives so short?' asked Scrooge.\n\n'My life upon this globe is very brief,' replied the Ghost. 'It ends\nto-night.'\n\n'To-night!' cried Scrooge.\n\n'To-night at midnight. Hark! The time is drawing near.'\n\nThe chimes were ringing the three-quarters past eleven at that moment.\n\n'Forgive me if I am not justified in what I ask,' said Scrooge, looking\nintently at the Spirit's robe, 'but I see something strange, and not\nbelonging to yourself, protruding from your skirts. Is it a foot or a\nclaw?'\n\n'It might be a claw, for the flesh there is upon it,' was the Spirit's\nsorrowful reply. 'Look here!'\n\nFrom the foldings of its robe it brought two children, wretched, abject,\nfrightful, hideous, miserable. They knelt down at its feet, and clung\nupon the outside of its garment.\n\n'O Man! look here! Look, look down here!' exclaimed the Ghost.\n\nThey were a boy and girl. Yellow, meagre, ragged, scowling, wolfish, but\nprostrate, too, in their humility. Where graceful youth should have\nfilled their features out, and touched them with its freshest tints, a\nstale and shrivelled hand, like that of age, had pinched and twisted\nthem, and pulled them into shreds. Where angels might have sat\nenthroned, devils lurked, and glared out menacing. No change, no\ndegradation, no perversion of humanity in any grade, through all the\nmysteries of wonderful creation, has monsters half so horrible and\ndread.\n\nScrooge started back, appalled. Having them shown to him in this way, he\ntried to say they were fine children, but the words choked themselves,\nrather than be parties to a lie of such enormous magnitude.\n\n'Spirit! are they yours?' Scrooge could say no more.\n\n'They are Man's,' said the Spirit, looking down upon them. 'And they\ncling to me, appealing from their fathers. This boy is Ignorance. This\ngirl is Want. Beware of them both, and all of their degree, but most of\nall beware this boy, for on his brow I see that written which is Doom,\nunless the writing be erased. Deny it!' cried the Spirit, stretching out\nhis hand towards the city. 'Slander those who tell it ye! Admit it for\nyour factious purposes, and make it worse! And bide the end!'\n\n'Have they no refuge or resource?' cried Scrooge.\n\n'Are there no prisons?' said the Spirit, turning on him for the last\ntime with his own words. 'Are there no workhouses?'\n\nThe bell struck Twelve.\n\nScrooge looked about him for the Ghost, and saw it not. As the last\nstroke ceased to vibrate, he remembered the prediction of old Jacob\nMarley, and, lifting up his eyes, beheld a solemn Phantom, draped and\nhooded, coming like a mist along the ground towards him.\n\n\nSTAVE FOUR\n\n\n\n\nTHE LAST OF THE SPIRITS\n\n\nThe Phantom slowly, gravely, silently approached. When it came near him,\nScrooge bent down upon his knee; for in the very air through which this\nSpirit moved it seemed to scatter gloom and mystery.\n\nIt was shrouded in a deep black garment, which concealed its head, its\nface, its form, and left nothing of it visible, save one outstretched\nhand. But for this, it would have been difficult to detach its figure\nfrom the night, and separate it from the darkness by which it was\nsurrounded.\n\nHe felt that it was tall and stately when it came beside him, and that\nits mysterious presence filled him with a solemn dread. He knew no more,\nfor the Spirit neither spoke nor moved.\n\n'I am in the presence of the Ghost of Christmas Yet to Come?' said\nScrooge.\n\nThe Spirit answered not, but pointed onward with its hand.\n\n'You are about to show me shadows of the things that have not happened,\nbut will happen in the time before us,' Scrooge pursued. 'Is that so,\nSpirit?'\n\nThe upper portion of the garment was contracted for an instant in its\nfolds, as if the Spirit had inclined its head. That was the only answer\nhe received.\n\nAlthough well used to ghostly company by this time, Scrooge feared the\nsilent shape so much that his legs trembled beneath him, and he found\nthat he could hardly stand when he prepared to follow it. The Spirit\npaused a moment, as observing his condition, and giving him time to\nrecover.\n\nBut Scrooge was all the worse for this. It thrilled him with a vague,\nuncertain horror to know that, behind the dusky shroud, there were\nghostly eyes intently fixed upon him, while he, though he stretched his\nown to the utmost, could see nothing but a spectral hand and one great\nheap of black.\n\n'Ghost of the Future!' he exclaimed, 'I fear you more than any spectre\nI have seen. But as I know your purpose is to do me good, and as I hope\nto live to be another man from what I was, I am prepared to bear your\ncompany, and do it with a thankful heart. Will you not speak to me?'\n\nIt gave him no reply. The hand was pointed straight before them.\n\n'Lead on!' said Scrooge. 'Lead on! The night is waning fast, and it is\nprecious time to me, I know. Lead on, Spirit!'\n\nThe Phantom moved away as it had come towards him. Scrooge followed in\nthe shadow of its dress, which bore him up, he thought, and carried him\nalong.\n\nThey scarcely seemed to enter the City; for the City rather seemed to\nspring up about them, and encompass them of its own act. But there they\nwere in the heart of it; on 'Change, amongst the merchants, who hurried\nup and down, and chinked the money in their pockets, and conversed in\ngroups, and looked at their watches, and trifled thoughtfully with their\ngreat gold seals, and so forth, as Scrooge had seen them often.\n\nThe Spirit stopped beside one little knot of business men. Observing\nthat the hand was pointed to them, Scrooge advanced to listen to their\ntalk.\n\n'No,' said a great fat man with a monstrous chin, 'I don't know much\nabout it either way. I only know he's dead.'\n\n'When did he die?' inquired another.\n\n'Last night, I believe.'\n\n'Why, what was the matter with him?' asked a third, taking a vast\nquantity of snuff out of a very large snuff-box. 'I thought he'd never\ndie.'\n\n'God knows,' said the first, with a yawn.\n\n'What has he done with his money?' asked a red-faced gentleman with a\npendulous excrescence on the end of his nose, that shook like the gills\nof a turkey-cock.\n\n'I haven't heard,' said the man with the large chin, yawning again.\n'Left it to his company, perhaps. He hasn't left it to _me_. That's all\nI know.'\n\nThis pleasantry was received with a general laugh.\n\n'It's likely to be a very cheap funeral,' said the same speaker; 'for,\nupon my life, I don't know of anybody to go to it. Suppose we make up a\nparty, and volunteer?'\n\n'I don't mind going if a lunch is provided,' observed the gentleman with\nthe excrescence on his nose. 'But I must be fed if I make one.'\n\nAnother laugh.\n\n[Illustration:\n\n _\"How are you?\" said one.\n \"How are you?\" returned the other.\n \"Well!\" said the first. \"Old Scratch has got his own at last, hey?\"_\n\n]\n\n'Well, I am the most disinterested among you, after all,' said the first\nspeaker, 'for I never wear black gloves, and I never eat lunch. But I'll\noffer to go if anybody else will. When I come to think of it, I'm not\nat all sure that I wasn't his most particular friend; for we used to\nstop and speak whenever we met. Bye, bye!'\n\nSpeakers and listeners strolled away, and mixed with other groups.\nScrooge knew the men, and looked towards the Spirit for an explanation.\n\nThe phantom glided on into a street. Its finger pointed to two persons\nmeeting. Scrooge listened again, thinking that the explanation might lie\nhere.\n\nHe knew these men, also, perfectly. They were men of business: very\nwealthy, and of great importance. He had made a point always of standing\nwell in their esteem in a business point of view, that is; strictly in a\nbusiness point of view.\n\n'How are you?' said one.\n\n'How are you?' returned the other.\n\n'Well!' said the first, 'old Scratch has got his own at last, hey?'\n\n'So I am told,' returned the second. 'Cold, isn't it?'\n\n'Seasonable for Christmas-time. You are not a skater, I suppose?'\n\n'No, no. Something else to think of. Good-morning!'\n\nNot another word. That was their meeting, their conversation, and their\nparting.\n\nScrooge was at first inclined to be surprised that the Spirit should\nattach importance to conversations apparently so trivial; but feeling\nassured that they must have some hidden purpose, he set himself to\nconsider what it was likely to be. They could scarcely be supposed to\nhave any bearing on the death of Jacob, his old partner, for that was\nPast, and this Ghost's province was the Future. Nor could he think of\nany one immediately connected with himself to whom he could apply them.\nBut nothing doubting that, to whomsoever they applied, they had some\nlatent moral for his own improvement, he resolved to treasure up every\nword he heard, and everything he saw; and especially to observe the\nshadow of himself when it appeared. For he had an expectation that the\nconduct of his future self would give him the clue he missed, and would\nrender the solution of these riddles easy.\n\nHe looked about in that very place for his own image, but another man\nstood in his accustomed corner; and though the clock pointed to his\nusual time of day for being there, he saw no likeness of himself among\nthe multitudes that poured in through the Porch. It gave him little\nsurprise, however; for he had been revolving in his mind a change of\nlife, and thought and hoped he saw his new-born resolutions carried out\nin this.\n\nQuiet and dark, beside him stood the Phantom, with its outstretched\nhand. When he roused himself from his thoughtful quest, he fancied,\nfrom the turn of the hand, and its situation in reference to himself,\nthat the Unseen Eyes were looking at him keenly. It made him shudder,\nand feel very cold.\n\nThey left the busy scene, and went into an obscure part of the town,\nwhere Scrooge had never penetrated before, although he recognised its\nsituation and its bad repute. The ways were foul and narrow; the shop\nand houses wretched; the people half naked, drunken, slipshod, ugly.\nAlleys and archways, like so many cesspools, disgorged their offences of\nsmell and dirt, and life upon the straggling streets; and the whole\nquarter reeked with crime, with filth, and misery.\n\nFar in this den of infamous resort, there was a low-browed, beetling\nshop, below a penthouse roof, where iron, old rags, bottles, bones, and\ngreasy offal were bought. Upon the floor within were piled up heaps of\nrusty keys, nails, chains, hinges, files, scales, weights, and refuse\niron of all kinds. Secrets that few would like to scrutinise were bred\nand hidden in mountains of unseemly rags, masses of corrupted fat, and\nsepulchres of bones. Sitting in among the wares he dealt in, by a\ncharcoal stove made of old bricks, was a grey-haired rascal, nearly\nseventy years of age, who had screened himself from the cold air without\nby a frouzy curtaining of miscellaneous tatters hung upon a line and\nsmoked his pipe in all the luxury of calm retirement.\n\nScrooge and the Phantom came into the presence of this man, just as a\nwoman with a heavy bundle slunk into the shop. But she had scarcely\nentered, when another woman, similarly laden, came in too; and she was\nclosely followed by a man in faded black, who was no less startled by\nthe sight of them than they had been upon the recognition of each other.\nAfter a short period of blank astonishment, in which the old man with\nthe pipe had joined them, they all three burst into a laugh.\n\n'Let the charwoman alone to be the first!' cried she who had entered\nfirst. 'Let the laundress alone to be the second; and let the\nundertaker's man alone to be the third. Look here, old Joe, here's a\nchance! If we haven't all three met here without meaning it!'\n\n'You couldn't have met in a better place,' said old Joe, removing his\npipe from his mouth. 'Come into the parlour. You were made free of it\nlong ago, you know; and the other two an't strangers. Stop till I shut\nthe door of the shop. Ah! how it skreeks! There an't such a rusty bit of\nmetal in the place as its own hinges, I believe; and I'm sure there's no\nsuch old bones here as mine. Ha! ha! We're all suitable to our calling,\nwe're well matched. Come into the parlour. Come into the parlour.'\n\nThe parlour was the space behind the screen of rags. The old man raked\nthe fire together with an old stair-rod, and having trimmed his smoky\nlamp (for it was night) with the stem of his pipe, put it into his mouth\nagain.\n\nWhile he did this, the woman who had already spoken threw her bundle on\nthe floor, and sat down in a flaunting manner on a stool, crossing her\nelbows on her knees, and looking with a bold defiance at the other two.\n\n'What odds, then? What odds, Mrs. Dilber?' said the woman. 'Every person\nhas a right to take care of themselves. _He_ always did!'\n\n'That's true, indeed!' said the laundress. 'No man more so.'\n\n'Why, then, don't stand staring as if you was afraid, woman! Who's the\nwiser? We're not going to pick holes in each other's coats, I suppose?'\n\n'No, indeed!' said Mrs. Dilber and the man together. 'We should hope\nnot.'\n\n'Very well then!' cried the woman. 'That's enough. Who's the worse for\nthe loss of a few things like these? Not a dead man, I suppose?'\n\n'No, indeed,' said Mrs. Dilber, laughing.\n\n'If he wanted to keep 'em after he was dead, a wicked old screw,'\npursued the woman, 'why wasn't he natural in his lifetime? If he had\nbeen, he'd have had somebody to look after him when he was struck with\nDeath, instead of lying gasping out his last there, alone by himself.'\n\n'It's the truest word that ever was spoke,' said Mrs. Dilber. 'It's a\njudgment on him.'\n\n'I wish it was a little heavier judgment,' replied the woman: 'and it\nshould have been, you may depend upon it, if I could have laid my hands\non anything else. Open that bundle, old Joe, and let me know the value\nof it. Speak out plain. I'm not afraid to be the first, nor afraid for\nthem to see it. We knew pretty well that we were helping ourselves\nbefore we met here, I believe. It's no sin. Open the bundle, Joe.'\n\nBut the gallantry of her friends would not allow of this; and the man in\nfaded black, mounting the breach first, produced _his_ plunder. It was\nnot extensive. A seal or two, a pencil-case, a pair of sleeve-buttons,\nand a brooch of no great value, were all. They were severally examined\nand appraised by old Joe, who chalked the sums he was disposed to give\nfor each upon the wall, and added them up into a total when he found\nthat there was nothing more to come.\n\n'That's your account,' said Joe, 'and I wouldn't give another sixpence,\nif I was to be boiled for not doing it. Who's next?'\n\n\n[Illustration: _\"What do you call this?\" said Joe. \"Bed-curtains.\"_]\n\nMrs. Dilber was next. Sheets and towels, a little wearing apparel, two\nold fashioned silver teaspoons, a pair of sugar-tongs, and a few\nboots. Her account was stated on the wall in the same manner.\n\n'I always give too much to ladies. It's a weakness of mine, and that's\nthe way I ruin myself,' said old Joe. 'That's your account. If you asked\nme for another penny, and made it an open question, I'd repent of being\nso liberal, and knock off half-a-crown.'\n\n'And now undo _my_ bundle, Joe,' said the first woman.\n\nJoe went down on his knees for the greater convenience of opening it,\nand, having unfastened a great many knots, dragged out a large heavy\nroll of some dark stuff.\n\n'What do you call this?' said Joe. 'Bed-curtains?'\n\n'Ah!' returned the woman, laughing and leaning forward on her crossed\narms. 'Bed-curtains!'\n\n'You don't mean to say you took 'em down, rings and all, with him lying\nthere?' said Joe.\n\n'Yes, I do,' replied the woman. 'Why not?'\n\n'You were born to make your fortune,' said Joe, 'and you'll certainly do\nit.'\n\n'I certainly shan't hold my hand, when I can get anything in it by\nreaching it out, for the sake of such a man as he was, I promise you,\nJoe,' returned the woman coolly. 'Don't drop that oil upon the blankets,\nnow.'\n\n'His blankets?' asked Joe.\n\n'Whose else's do you think?' replied the woman. 'He isn't likely to take\ncold without 'em, I dare say.'\n\n'I hope he didn't die of anything catching? Eh?' said old Joe, stopping\nin his work, and looking up.\n\n'Don't you be afraid of that,' returned the woman. 'I an't so fond of\nhis company that I'd loiter about him for such things, if he did. Ah!\nyou may look through that shirt till your eyes ache, but you won't find\na hole in it, nor a threadbare place. It's the best he had, and a fine\none too. They'd have wasted it, if it hadn't been for me.'\n\n'What do you call wasting of it?' asked old Joe.\n\n'Putting it on him to be buried in, to be sure,' replied the woman, with\na laugh. 'Somebody was fool enough to do it, but I took it off again. If\ncalico an't good enough for such a purpose, it isn't good enough for\nanything. It's quite as becoming to the body. He can't look uglier than\nhe did in that one.'\n\nScrooge listened to this dialogue in horror. As they sat grouped about\ntheir spoil, in the scanty light afforded by the old man's lamp, he\nviewed them with a detestation and disgust which could hardly have been\ngreater, though they had been obscene demons marketing the corpse\nitself.\n\n'Ha, ha!' laughed the same woman when old Joe producing a flannel bag\nwith money in it, told out their several gains upon the ground. 'This\nis the end of it, you see! He frightened every one away from him when he\nwas alive, to profit us when he was dead! Ha, ha, ha!'\n\n'Spirit!' said Scrooge, shuddering from head to foot. 'I see, I see. The\ncase of this unhappy man might be my own. My life tends that way now.\nMerciful heaven, what is this?'\n\nHe recoiled in terror, for the scene had changed, and now he almost\ntouched a bed--a bare, uncurtained bed--on which, beneath a ragged\nsheet, there lay a something covered up, which, though it was dumb,\nannounced itself in awful language.\n\nThe room was very dark, too dark to be observed with any accuracy,\nthough Scrooge glanced round it in obedience to a secret impulse,\nanxious to know what kind of room it was. A pale light, rising in the\nouter air, fell straight upon the bed; and on it, plundered and bereft,\nunwatched, unwept, uncared for, was the body of this man.\n\nScrooge glanced towards the Phantom. Its steady hand was pointed to the\nhead. The cover was so carelessly adjusted that the slightest raising of\nit, the motion of a finger upon Scrooge's part, would have disclosed the\nface. He thought of it, felt how easy it would be to do, and longed to\ndo it; but he had no more power to withdraw the veil than to dismiss the\nspectre at his side.\n\nOh, cold, cold, rigid, dreadful Death, set up thine altar here, and\ndress it with such terrors as thou hast at thy command; for this is thy\ndominion! But of the loved, revered, and honoured head thou canst not\nturn one hair to thy dread purposes, or make one feature odious. It is\nnot that the hand is heavy, and will fall down when released; it is not\nthat the heart and pulse are still; but that the hand was open,\ngenerous, and true; the heart brave, warm, and tender, and the pulse a\nman's. Strike, Shadow, strike! And see his good deeds springing from the\nwound, to sow the world with life immortal!\n\nNo voice pronounced these words in Scrooge's ears, and yet he heard them\nwhen he looked upon the bed. He thought, if this man could be raised up\nnow, what would be his foremost thoughts? Avarice, hard dealing, griping\ncares? They have brought him to a rich end, truly!\n\nHe lay in the dark, empty house, with not a man, a woman, or a child to\nsay he was kind to me in this or that, and for the memory of one kind\nword I will be kind to him. A cat was tearing at the door, and there was\na sound of gnawing rats beneath the hearthstone. What _they_ wanted in\nthe room of death, and why they were so restless and disturbed, Scrooge\ndid not dare to think.\n\n'Spirit!' he said, 'this is a fearful place. In leaving it, I shall not\nleave its lesson, trust me. Let us go!'\n\nStill the Ghost pointed with an unmoved finger to the head.\n\n'I understand you,' Scrooge returned, 'and I would do it if I could. But\nI have not the power, Spirit. I have not the power.'\n\nAgain it seemed to look upon him.\n\n'If there is any person in the town who feels emotion caused by this\nman's death,' said Scrooge, quite agonised, 'show that person to me,\nSpirit, I beseech you!'\n\nThe Phantom spread its dark robe before him for a moment, like a wing;\nand, withdrawing it, revealed a room by daylight, where a mother and her\nchildren were.\n\nShe was expecting some one, and with anxious eagerness; for she walked\nup and down the room, started at every sound, looked out from the\nwindow, glanced at the clock, tried, but in vain, to work with her\nneedle, and could hardly bear the voices of her children in their play.\n\nAt length the long-expected knock was heard. She hurried to the door,\nand met her husband; a man whose face was careworn and depressed, though\nhe was young. There was a remarkable expression in it now, a kind of\nserious delight of which he felt ashamed, and which he struggled to\nrepress.\n\nHe sat down to the dinner that had been hoarding for him by the fire,\nand when she asked him faintly what news (which was not until after a\nlong silence), he appeared embarrassed how to answer.\n\n'Is it good,' she said, 'or bad?' to help him.\n\n'Bad,' he answered.\n\n'We are quite ruined?'\n\n'No. There is hope yet, Caroline.'\n\n'If _he_ relents,' she said, amazed, 'there is! Nothing is past hope, if\nsuch a miracle has happened.'\n\n'He is past relenting,' said her husband. 'He is dead.'\n\nShe was a mild and patient creature, if her face spoke truth; but she\nwas thankful in her soul to hear it, and she said so with clasped hands.\nShe prayed forgiveness the next moment, and was sorry; but the first was\nthe emotion of her heart.\n\n'What the half-drunken woman, whom I told you of last night, said to me\nwhen I tried to see him and obtain a week's delay--and what I thought\nwas a mere excuse to avoid me--turns out to have been quite true. He was\nnot only very ill, but dying, then.'\n\n'To whom will our debt be transferred?'\n\n'I don't know. But, before that time, we shall be ready with the money;\nand even though we were not, it would be bad fortune indeed to find so\nmerciless a creditor in his successor. We may sleep to-night with light\nhearts, Caroline!'\n\nYes. Soften it as they would, their hearts were lighter. The children's\nfaces, hushed and clustered round to hear what they so little\nunderstood, were brighter; and it was a happier house for this man's\ndeath! The only emotion that the Ghost could show him, caused by the\nevent, was one of pleasure.\n\n'Let me see some tenderness connected with a death,' said Scrooge; 'or\nthat dark chamber, Spirit, which we left just now, will be for ever\npresent to me.'\n\nThe Ghost conducted him through several streets familiar to his feet;\nand as they went along, Scrooge looked here and there to find himself,\nbut nowhere was he to be seen. They entered poor Bob Cratchit's house;\nthe dwelling he had visited before; and found the mother and the\nchildren seated round the fire.\n\nQuiet. Very quiet. The noisy little Cratchits were as still as statues\nin one corner, and sat looking up at Peter, who had a book before him.\nThe mother and her daughters were engaged in sewing. But surely they\nwere very quiet!\n\n'\"And he took a child, and set him in the midst of them.\"'\n\nWhere had Scrooge heard those words? He had not dreamed them. The boy\nmust have read them out as he and the Spirit crossed the threshold. Why\ndid he not go on?\n\nThe mother laid her work upon the table, and put her hand up to her\nface.\n\n'The colour hurts my eyes,' she said.\n\nThe colour? Ah, poor Tiny Tim!\n\n'They're better now again,' said Cratchit's wife. 'It makes them weak by\ncandle-light; and I wouldn't show weak eyes to your father when he comes\nhome for the world. It must be near his time.'\n\n'Past it rather,' Peter answered, shutting up his book. 'But I think he\nhas walked a little slower than he used, these few last evenings,\nmother.'\n\nThey were very quiet again. At last she said, and in a steady, cheerful\nvoice, that only faltered once:\n\n'I have known him walk with--I have known him walk with Tiny Tim upon\nhis shoulder very fast indeed.'\n\n'And so have I,' cried Peter. 'Often.'\n\n'And so have I,' exclaimed another. So had all.\n\n'But he was very light to carry,' she resumed, intent upon her work,\n'and his father loved him so, that it was no trouble, no trouble. And\nthere is your father at the door!'\n\nShe hurried out to meet him; and little Bob in his comforter--he had\nneed of it, poor fellow--came in. His tea was ready for him on the hob,\nand they all tried who should help him to it most. Then the two young\nCratchits got upon his knees, and laid, each child, a little cheek\nagainst his face, as if they said, 'Don't mind it, father. Don't be\ngrieved!'\n\nBob was very cheerful with them, and spoke pleasantly to all the family.\nHe looked at the work upon the table, and praised the industry and speed\nof Mrs. Cratchit and the girls. They would be done long before Sunday,\nhe said.\n\n'Sunday! You went to-day, then, Robert?' said his wife.\n\n'Yes, my dear,' returned Bob. 'I wish you could have gone. It would have\ndone you good to see how green a place it is. But you'll see it often. I\npromised him that I would walk there on a Sunday. My little, little\nchild!' cried Bob. 'My little child!'\n\nHe broke down all at once. He couldn't help it. If he could have helped\nit, he and his child would have been farther apart, perhaps, than they\nwere.\n\nHe left the room, and went upstairs into the room above, which was\nlighted cheerfully, and hung with Christmas. There was a chair set close\nbeside the child, and there were signs of some one having been there\nlately. Poor Bob sat down in it, and when he had thought a little and\ncomposed himself, he kissed the little face. He was reconciled to what\nhad happened, and went down again quite happy.\n\nThey drew about the fire, and talked, the girls and mother working\nstill. Bob told them of the extraordinary kindness of Mr. Scrooge's\nnephew, whom he had scarcely seen but once, and who, meeting him in the\nstreet that day, and seeing that he looked a little--'just a little\ndown, you know,' said Bob, inquired what had happened to distress him.\n'On which,' said Bob, 'for he is the pleasantest-spoken gentleman you\never heard, I told him. \"I am heartily sorry for it, Mr. Cratchit,\" he\nsaid, \"and heartily sorry for your good wife.\" By-the-bye, how he ever\nknew _that_ I don't know.'\n\n'Knew what, my dear?'\n\n'Why, that you were a good wife,' replied Bob.\n\n'Everybody knows that,' said Peter.\n\n'Very well observed, my boy!' cried Bob. 'I hope they do. \"Heartily\nsorry,\" he said, \"for your good wife. If I can be of service to you in\nany way,\" he said, giving me his card, \"that's where I live. Pray come\nto me.\" Now, it wasn't,' cried Bob, 'for the sake of anything he might\nbe able to do for us, so much as for his kind way, that this was quite\ndelightful. It really seemed as if he had known our Tiny Tim, and felt\nwith us.'\n\n'I'm sure he's a good soul!' said Mrs. Cratchit.\n\n'You would be sure of it, my dear,' returned Bob, 'if you saw and spoke\nto him. I shouldn't be at all surprised--mark what I say!--if he got\nPeter a better situation.'\n\n'Only hear that, Peter,' said Mrs. Cratchit.\n\n'And then,' cried one of the girls, 'Peter will be keeping company with\nsome one, and setting up for himself.'\n\n'Get along with you!' retorted Peter, grinning.\n\n'It's just as likely as not,' said Bob, 'one of these days; though\nthere's plenty of time for that, my dear. But, however and whenever we\npart from one another, I am sure we shall none of us forget poor Tiny\nTim--shall we--or this first parting that there was among us?'\n\n'Never, father!' cried they all.\n\n'And I know,' said Bob, 'I know, my dears, that when we recollect how\npatient and how mild he was; although he was a little, little child; we\nshall not quarrel easily among ourselves, and forget poor Tiny Tim in\ndoing it.'\n\n'No, never, father!' they all cried again.\n\n'I am very happy,' said little Bob, 'I am very happy!'\n\nMrs. Cratchit kissed him, his daughters kissed him, the two young\nCratchits kissed him, and Peter and himself shook hands. Spirit of Tiny\nTim, thy childish essence was from God!\n\n'Spectre,' said Scrooge, 'something informs me that our parting moment\nis at hand. I know it but I know not how. Tell me what man that was whom\nwe saw lying dead?'\n\nThe Ghost of Christmas Yet to Come conveyed him, as before--though at a\ndifferent time, he thought: indeed there seemed no order in these latter\nvisions, save that they were in the Future--into the resorts of business\nmen, but showed him not himself. Indeed, the Spirit did not stay for\nanything, but went straight on, as to the end just now desired, until\nbesought by Scrooge to tarry for a moment.\n\n'This court,' said Scrooge, 'through which we hurry now, is where my\nplace of occupation is, and has been for a length of time. I see the\nhouse. Let me behold what I shall be in days to come.'\n\nThe Spirit stopped; the hand was pointed elsewhere.\n\n'The house is yonder,' Scrooge exclaimed. 'Why do you point away?'\n\nThe inexorable finger underwent no change.\n\nScrooge hastened to the window of his office, and looked in. It was an\noffice still, but not his. The furniture was not the same, and the\nfigure in the chair was not himself. The Phantom pointed as before.\n\nHe joined it once again, and, wondering why and whither he had gone,\naccompanied it until they reached an iron gate. He paused to look round\nbefore entering.\n\nA churchyard. Here, then, the wretched man, whose name he had now to\nlearn, lay underneath the ground. It was a worthy place. Walled in by\nhouses; overrun by grass and weeds, the growth of vegetation's death,\nnot life; choked up with too much burying; fat with repleted appetite. A\nworthy place!\n\nThe Spirit stood among the graves, and pointed down to One. He advanced\ntowards it trembling. The Phantom was exactly as it had been, but he\ndreaded that he saw new meaning in its solemn shape.\n\n'Before I draw nearer to that stone to which you point,' said Scrooge,\n'answer me one question. Are these the shadows of the things that Will\nbe, or are they shadows of the things that May be only?'\n\nStill the Ghost pointed downward to the grave by which it stood.\n\n'Men's courses will foreshadow certain ends, to which, if persevered in,\nthey must lead,' said Scrooge. 'But if the courses be departed from, the\nends will change. Say it is thus with what you show me!'\n\nThe Spirit was immovable as ever.\n\nScrooge crept towards it, trembling as he went; and, following the\nfinger, read upon the stone of the neglected grave his own name,\nEBENEZER SCROOGE.\n\n'Am I that man who lay upon the bed?' he cried upon his knees.\n\nThe finger pointed from the grave to him, and back again.\n\n'No, Spirit! Oh no, no!'\n\nThe finger still was there.\n\n'Spirit!' he cried, tight clutching at its robe, 'hear me! I am not the\nman I was. I will not be the man I must have been but for this\nintercourse. Why show me this, if I am past all hope?'\n\nFor the first time the hand appeared to shake.\n\n'Good Spirit,' he pursued, as down upon the ground he fell before it,\n'your nature intercedes for me, and pities me. Assure me that I yet may\nchange these shadows you have shown me by an altered life?'\n\nThe kind hand trembled.\n\n'I will honour Christmas in my heart, and try to keep it all the year. I\nwill live in the Past, the Present, and the Future. The Spirits of all\nThree shall strive within me. I will not shut out the lessons that they\nteach. Oh, tell me I may sponge away the writing on this stone!'\n\nIn his agony he caught the spectral hand. It sought to free itself, but\nhe was strong in his entreaty, and detained it. The Spirit stronger yet,\nrepulsed him.\n\nHolding up his hands in a last prayer to have his fate reversed, he saw\nan alteration in the Phantom's hood and dress. It shrunk, collapsed, and\ndwindled down into a bedpost.\n\n\nSTAVE FIVE\n\n\n[Illustration]\n\n\n\n\nTHE END OF IT\n\n\nYes! and the bedpost was his own. The bed was his own, the room was his\nown. Best and happiest of all, the Time before him was his own, to make\namends in!\n\n'I will live in the Past, the Present, and the Future!' Scrooge repeated\nas he scrambled out of bed. 'The Spirits of all Three shall strive\nwithin me. O Jacob Marley! Heaven and the Christmas Time be praised for\nthis! I say it on my knees, old Jacob; on my knees!'\n\nHe was so fluttered and so glowing with his good intentions, that his\nbroken voice would scarcely answer to his call. He had been sobbing\nviolently in his conflict with the Spirit, and his face was wet with\ntears.\n\n'They are not torn down,' cried Scrooge, folding one of his bed-curtains\nin his arms, 'They are not torn down, rings and all. They are here--I am\nhere--the shadows of the things that would have been may be dispelled.\nThey will be. I know they will!'\n\nHis hands were busy with his garments all this time: turning them inside\nout, putting them on upside down, tearing them, mislaying them, making\nthem parties to every kind of extravagance.\n\n'I don't know what to do!' cried Scrooge, laughing and crying in the\nsame breath, and making a perfect Laocoon of himself with his stockings.\n'I am as light as a feather, I am as happy as an angel, I am as merry as\na schoolboy, I am as giddy as a drunken man. A merry Christmas to\neverybody! A happy New Year to all the world! Hallo here! Whoop! Hallo!'\n\nHe had frisked into the sitting-room, and was now standing there,\nperfectly winded.\n\n'There's the saucepan that the gruel was in!' cried Scrooge, starting\noff again, and going round the fireplace. 'There's the door by which the\nGhost of Jacob Marley entered! There's the corner where the Ghost of\nChristmas Present sat! There's the window where I saw the wandering\nSpirits! It's all right, it's all true, it all happened. Ha, ha, ha!'\n\nReally, for a man who had been out of practice for so many years, it was\na splendid laugh, a most illustrious laugh. The father of a long, long\nline of brilliant laughs!\n\n'I don't know what day of the month it is,' said Scrooge. 'I don't know\nhow long I have been among the Spirits. I don't know anything. I'm quite\na baby. Never mind. I don't care. I'd rather be a baby. Hallo! Whoop!\nHallo here!'\n\nHe was checked in his transports by the churches ringing out the\nlustiest peals he had ever heard. Clash, clash, hammer; ding, dong,\nbell! Bell, dong, ding; hammer, clash, clash! Oh, glorious, glorious!\n\nRunning to the window, he opened it, and put out his head. No fog, no\nmist; clear, bright, jovial, stirring, cold; cold, piping for the blood\nto dance to; golden sunlight; heavenly sky; sweet fresh air; merry\nbells. Oh, glorious! Glorious!\n\n'What's to-day?' cried Scrooge, calling downward to a boy in Sunday\nclothes, who perhaps had loitered in to look about him.\n\n'EH?' returned the boy with all his might of wonder.\n\n'What's to-day, my fine fellow?' said Scrooge.\n\n'To-day!' replied the boy. 'Why, CHRISTMAS DAY.'\n\n'It's Christmas Day!' said Scrooge to himself. 'I haven't missed it. The\nSpirits have done it all in one night. They can do anything they like.\nOf course they can. Of course they can. Hallo, my fine fellow!'\n\n'Hallo!' returned the boy.\n\n'Do you know the poulterer's in the next street but one, at the corner?'\nScrooge inquired.\n\n'I should hope I did,' replied the lad.\n\n'An intelligent boy!' said Scrooge. 'A remarkable boy! Do you know\nwhether they've sold the prize turkey that was hanging up there?--Not\nthe little prize turkey: the big one?'\n\n'What! the one as big as me?' returned the boy.\n\n'What a delightful boy!' said Scrooge. 'It's a pleasure to talk to him.\nYes, my buck!'\n\n'It's hanging there now,' replied the boy.\n\n'Is it?' said Scrooge. 'Go and buy it.'\n\n'Walk-ER!' exclaimed the boy.\n\n'No, no,' said Scrooge. 'I am in earnest. Go and buy it, and tell 'em to\nbring it here, that I may give them the directions where to take it.\nCome back with the man, and I'll give you a shilling. Come back with him\nin less than five minutes, and I'll give you half-a-crown!'\n\nThe boy was off like a shot. He must have had a steady hand at a trigger\nwho could have got a shot off half as fast.\n\n'I'll send it to Bob Cratchit's,' whispered Scrooge, rubbing his hands,\nand splitting with a laugh. 'He shan't know who sends it. It's twice the\nsize of Tiny Tim. Joe Miller never made such a joke as sending it to\nBob's will be!'\n\nThe hand in which he wrote the address was not a steady one; but write\nit he did, somehow, and went downstairs to open the street-door, ready\nfor the coming of the poulterer's man. As he stood there, waiting his\narrival, the knocker caught his eye.\n\n'I shall love it as long as I live!' cried Scrooge, patting it with his\nhand. 'I scarcely ever looked at it before. What an honest expression it\nhas in its face! It's a wonderful knocker!--Here's the turkey. Hallo!\nWhoop! How are you! Merry Christmas!'\n\nIt _was_ a turkey! He never could have stood upon his legs, that bird.\nHe would have snapped 'em short off in a minute, like sticks of\nsealing-wax.\n\n'Why, it's impossible to carry that to Camden Town,' said Scrooge. 'You\nmust have a cab.'\n\nThe chuckle with which he said this, and the chuckle with which he paid\nfor the turkey, and the chuckle with which he paid for the cab, and the\nchuckle with which he recompensed the boy, were only to be exceeded by\nthe chuckle with which he sat down breathless in his chair again, and\nchuckled till he cried.\n\nShaving was not an easy task, for his hand continued to shake very much;\nand shaving requires attention, even when you don't dance while you are\nat it. But if he had cut the end of his nose off, he would have put a\npiece of sticking-plaster over it, and been quite satisfied.\n\nHe dressed himself 'all in his best,' and at last got out into the\nstreets. The people were by this time pouring forth, as he had seen them\nwith the Ghost of Christmas Present; and, walking with his hands behind\nhim, Scrooge regarded every one with a delighted smile. He looked so\nirresistibly pleasant, in a word, that three or four good-humoured\nfellows said, 'Good-morning, sir! A merry Christmas to you!' And Scrooge\nsaid often afterwards that, of all the blithe sounds he had ever heard,\nthose were the blithest in his ears.\n\nHe had not gone far when, coming on towards him, he beheld the portly\ngentleman who had walked into his counting-house the day before, and\nsaid, 'Scrooge and Marley's, I believe?' It sent a pang across his heart\nto think how this old gentleman would look upon him when they met; but\nhe knew what path lay straight before him, and he took it.\n\n'My dear sir,' said Scrooge, quickening his pace, and taking the old\ngentleman by both his hands, 'how do you do? I hope you succeeded\nyesterday. It was very kind of you. A merry Christmas to you, sir!'\n\n'Mr. Scrooge?'\n\n'Yes,' said Scrooge. 'That is my name, and I fear it may not be pleasant\nto you. Allow me to ask your pardon. And will you have the goodness----'\nHere Scrooge whispered in his ear.\n\n'Lord bless me!' cried the gentleman, as if his breath were taken away.\n'My dear Mr. Scrooge, are you serious?'\n\n'If you please,' said Scrooge. 'Not a farthing less. A great many\nback-payments are included in it, I assure you. Will you do me that\nfavour?'\n\n'My dear sir,' said the other, shaking hands with him, 'I don't know\nwhat to say to such munifi----'\n\n'Don't say anything, please,' retorted Scrooge. 'Come and see me. Will\nyou come and see me?'\n\n'I will!' cried the old gentleman. And it was clear he meant to do it.\n\n'Thankee,' said Scrooge. 'I am much obliged to you. I thank you fifty\ntimes. Bless you!'\n\nHe went to church, and walked about the streets, and watched the people\nhurrying to and fro, and patted the children on the head, and questioned\nbeggars, and looked down into the kitchens of houses, and up to the\nwindows; and found that everything could yield him pleasure. He had\nnever dreamed that any walk--that anything--could give him so much\nhappiness. In the afternoon he turned his steps towards his nephew's\nhouse.\n\nHe passed the door a dozen times before he had the courage to go up and\nknock. But he made a dash and did it.\n\n'Is your master at home, my dear?' said Scrooge to the girl. 'Nice girl!\nVery.'\n\n'Yes, sir.'\n\n'Where is he, my love?' said Scrooge.\n\n'He's in the dining-room, sir, along with mistress. I'll show you\nupstairs, if you please.'\n\n'Thankee. He knows me,' said Scrooge, with his hand already on the\ndining-room lock. 'I'll go in here, my dear.'\n\nHe turned it gently, and sidled his face in round the door. They were\nlooking at the table (which was spread out in great array); for these\nyoung housekeepers are always nervous on such points, and like to see\nthat everything is right.\n\n'Fred!' said Scrooge.\n\nDear heart alive, how his niece by marriage started! Scrooge had\nforgotten, for the moment, about her sitting in the corner with the\nfootstool, or he wouldn't have done it on any account.\n\n'Why, bless my soul!' cried Fred, 'who's that?'\n\n[Illustration: _\"It's I, your uncle Scrooge. I have come to dinner. Will\nyou let me in, Fred?\"_]\n\n'It's I. Your uncle Scrooge. I have come to dinner. Will you let me in,\nFred?'\n\nLet him in! It is a mercy he didn't shake his arm off. He was at home in\nfive minutes. Nothing could be heartier. His niece looked just the same.\nSo did Topper when _he_ came. So did the plump sister when _she_ came.\nSo did every one when _they_ came. Wonderful party, wonderful games,\nwonderful unanimity, won-der-ful happiness!\n\nBut he was early at the office next morning. Oh, he was early there! If\nhe could only be there first, and catch Bob Cratchit coming late! That\nwas the thing he had set his heart upon.\n\nAnd he did it; yes, he did! The clock struck nine. No Bob. A quarter\npast. No Bob. He was full eighteen minutes and a half behind his time.\nScrooge sat with his door wide open, that he might see him come into the\ntank.\n\nHis hat was off before he opened the door; his comforter too. He was on\nhis stool in a jiffy, driving away with his pen, as if he were trying to\novertake nine o'clock.\n\n'Hallo!' growled Scrooge in his accustomed voice as near as he could\nfeign it. 'What do you mean by coming here at this time of day?'\n\n'I am very sorry, sir,' said Bob. 'I _am_ behind my time.'\n\n'You are!' repeated Scrooge. 'Yes, I think you are. Step this way, sir,\nif you please.'\n\n'It's only once a year, sir,' pleaded Bob, appearing from the tank. 'It\nshall not be repeated. I was making rather merry yesterday, sir.'\n\n'Now, I'll tell you what, my friend,' said Scrooge. 'I am not going to\nstand this sort of thing any longer. And therefore,' he continued,\nleaping from his stool, and giving Bob such a dig in the waistcoat that\nhe staggered back into the tank again--'and therefore I am about to\nraise your salary!'\n\nBob trembled, and got a little nearer to the ruler. He had a momentary\nidea of knocking Scrooge down with it, holding him, and calling to the\npeople in the court for help and a strait-waistcoat.\n\n'A merry Christmas, Bob!' said Scrooge, with an earnestness that could\nnot be mistaken, as he clapped him on the back. 'A merrier Christmas,\nBob, my good fellow, than I have given you for many a year! I'll raise\nyour salary, and endeavour to assist your struggling family, and we will\ndiscuss your affairs this very afternoon, over a Christmas bowl of\nsmoking bishop, Bob! Make up the fires and buy another coal-scuttle\nbefore you dot another i, Bob Cratchit!'\n\n[Illustration: _\"Now, I'll tell you what, my friend,\" said Scrooge. \"I\nam not going to stand this sort of thing any longer.\"_]\n\nScrooge was better than his word. He did it all, and infinitely more;\nand to Tiny Tim, who did NOT die, he was a second father. He became as\ngood a friend, as good a master, and as good a man as the good old\nCity knew, or any other good old city, town, or borough in the good old\nworld. Some people laughed to see the alteration in him, but he let them\nlaugh, and little heeded them; for he was wise enough to know that\nnothing ever happened on this globe, for good, at which some people did\nnot have their fill of laughter in the outset; and knowing that such as\nthese would be blind anyway, he thought it quite as well that they\nshould wrinkle up their eyes in grins as have the malady in less\nattractive forms. His own heart laughed, and that was quite enough for\nhim.\n\nHe had no further intercourse with Spirits, but lived upon the\nTotal-Abstinence Principle ever afterwards; and it was always said of\nhim that he knew how to keep Christmas well, if any man alive possessed\nthe knowledge. May that be truly said of us, and all of us! And so, as\nTiny Tim observed, God bless Us, Every One!\n\n[Illustration]\n\n+---------------------------------------------------------------+\n|Transcriber's note: The Contents were added by the transcriber.|\n+---------------------------------------------------------------+\n\n\n\n\n\n\n\n*** END OF THE PROJECT GUTENBERG EBOOK A CHRISTMAS CAROL ***\n\n\n \n\nUpdated editions will replace the previous one—the old editions will\nbe renamed.\n\nCreating the works from print editions not protected by U.S. copyright\nlaw means that no one owns a United States copyright in these works,\nso the Foundation (and you!) can copy and distribute it in the United\nStates without permission and without paying copyright\nroyalties. Special rules, set forth in the General Terms of Use part\nof this license, apply to copying and distributing Project\nGutenberg™ electronic works to protect the PROJECT GUTENBERG™\nconcept and trademark. 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Ghost\"<|>\"event\"<|>\"Marley's Ghost represents the supernatural apparition of Marley, who has been dead for seven years and symbolizes regret and warning to Scrooge.\")##\n(\"entity\"<|>\"The House\"<|>\"geo\"<|>\"The House is the setting where Scrooge experiences the haunting, with a description of its features contributing to the eerie atmosphere.\")##\n(\"relationship\"<|>\"Scrooge\"<|>\"Marley's Ghost\"<|>\"Scrooge is haunted by Marley's Ghost, which confronts him as a part of a supernatural occurrence meant to incite fear and reflection on his life choices.\"<|>\"supernatural confrontation, regret\"<|>10)##\n(\"relationship\"<|>\"Scrooge\"<|>\"The House\"<|>\"Scrooge's experiences with Marley's Ghost occur within The House, which plays a crucial role in the haunting atmosphere.\"<|>\"haunting, setting influence\"<|>8)##\n(\"content_keywords\"<|>\"haunting, supernatural, regret, isolation\")<|COMPLETE|>", + "model": "gpt-4o-mini" + }, + "09c3e65acef33139a3334086692f6727": { + "return": "(\"entity\"<|>\"Jacob Marley\"<|>\"person\"<|>\"Jacob Marley is a ghost who appears to Scrooge, having been his business partner in life, and is now bound by chains that signify his earthly ties and regrets.\")##\n(\"entity\"<|>\"Scrooge\"<|>\"person\"<|>\"Scrooge is a cold-hearted, skeptical man who encounters the ghost of Jacob Marley and struggles to believe in the supernatural.\")##\n(\"entity\"<|>\"The Ghost\"<|>\"event\"<|>\"The Ghost is a spectral manifestation of Jacob Marley, appearing to communicate a vital message to Scrooge about the spiritual consequences of his life choices.\")##\n(\"relationship\"<|>\"Scrooge\"<|>\"Jacob Marley\"<|>\"Scrooge confronts Jacob Marley, his former business partner, who returns as a ghost to influence Scrooge's perspective on life and his actions.\"<|>\"supernatural encounter, past ties\"<|>9)##\n(\"relationship\"<|>\"The Ghost\"<|>\"Jacob Marley\"<|>\"The Ghost is the spectral form of Jacob Marley, representing his ongoing existence and his desire to communicate a warning to Scrooge.\"<|>\"spectral representation, message delivery\"<|>10)##\n(\"content_keywords\"<|>\"supernatural, redemption, spectral message, skepticism\")<|COMPLETE|>", + "model": "gpt-4o-mini" + }, + "ac87fabbb84a6d5cca16454aa74afa60": { + "return": "(\"entity\"<|>\"Scrooge\"<|>\"person\"<|>\"Scrooge is a miserly character, cold-hearted and solitary, known for his disdain for Christmas and lack of human sympathy.\")##\n(\"entity\"<|>\"Scrooge's Nephew\"<|>\"person\"<|>\"Scrooge's Nephew is a cheerful and optimistic character who represents the spirit of Christmas, opposing Scrooge's views.\")##\n(\"entity\"<|>\"Christmas\"<|>\"event\"<|>\"Christmas is portrayed as a festive time that Scrooge dismisses, emphasizing the contrast between joy and his miserable attitude.\")##\n(\"entity\"<|>\"The Counting-House\"<|>\"organization\"<|>\"The Counting-House is where Scrooge works and is characterized by its cold and unwelcoming environment.\")##\n(\"relationship\"<|>\"Scrooge\"<|>\"Scrooge's Nephew\"<|>\"Scrooge's Nephew tries to cheer Scrooge up and promote the joy of Christmas, but is met with rejection and negativity.\"<|>\"family dynamics, opposing views\"<|>8)##\n(\"relationship\"<|>\"Scrooge\"<|>\"Christmas\"<|>\"Scrooge expresses disdain for Christmas, viewing it as a burden rather than a celebration.\"<|>\"conflict, holiday spirit\"<|>9)##\n(\"relationship\"<|>\"Scrooge\"<|>\"The Counting-House\"<|>\"Scrooge's work environment reflects his personality, being cold and uninviting, mirroring his discontent with life.\"<|>\"work environment, personality reflection\"<|>7)##\n(\"content_keywords\"<|>\"disdain for Christmas, family conflict, isolation, work ethic\")<|COMPLETE|>", + "model": "gpt-4o-mini" + }, + "00d7b6433965192b078c10dfaf4206e0": { + "return": "(\"entity\"<|>\"Ebenezer Scrooge\"<|>\"person\"<|>\"Ebenezer Scrooge is a protagonist who experiences confusion and fear regarding the passage of time and supernatural events, especially concerned about a ghostly visitation.\")##\n(\"entity\"<|>\"Marley's Ghost\"<|>\"event\"<|>\"Marley's Ghost is a spectral visitation that deeply troubles Scrooge and causes him great perplexity, leading him to question the reality of his experiences.\")##\n(\"entity\"<|>\"The Clock\"<|>\"technology\"<|>\"The Clock is a device that malfunctions, contributing to Scrooge's confusion about time and reality in the narrative.\")##\n(\"entity\"<|>\"The Visitor\"<|>\"person\"<|>\"The Visitor is a mysterious figure that appears to Scrooge; it possesses qualities of both youth and age, signifying the blend of time and supernatural elements.\")##\n(\"relationship\"<|>\"Ebenezer Scrooge\"<|>\"Marley's Ghost\"<|>\"Scrooge is troubled by Marley's Ghost, which leads him to question the nature of his reality and whether he has been dreaming.\"<|>\"supernatural influence, distress\"<|>8)##\n(\"relationship\"<|>\"Ebenezer Scrooge\"<|>\"The Visitor\"<|>\"Scrooge comes face to face with The Visitor, indicating a significant encounter that affects his understanding of life and death.\"<|>\"supernatural encounter, revelation\"<|>9)##\n(\"relationship\"<|>\"Ebenezer Scrooge\"<|>\"The Clock\"<|>\"Scrooge's confusion about time is exacerbated by The Clock's malfunction, heightening his sense of disorientation.\"<|>\"temporal confusion, malfunction\"<|>7)##\n(\"content_keywords\"<|>\"supernatural, time, confusion, spectral visitation\")<|COMPLETE|>", + "model": "gpt-4o-mini" + }, + "4498cd83d1404d5f1a79e9d76791f24a": { + "return": "(\"entity\"<|>\"Fezziwig\"<|>\"person\"<|>\"Fezziwig is depicted as a joyful character who dances with his wife and embodies the spirit of Christmas.\")##\n(\"entity\"<|>\"Mrs. Fezziwig\"<|>\"person\"<|>\"Mrs. Fezziwig is the wife of Fezziwig, participating in the dance, representing companionship and festive cheer.\")##\n(\"entity\"<|>\"Scrooge\"<|>\"person\"<|>\"Scrooge is a central character, known for his miserly nature and single-minded focus on business, who also mourns Marley.\")##\n(\"entity\"<|>\"Marley\"<|>\"person\"<|>\"Marley is Scrooge's deceased partner whose death is emphasized, and who impacts Scrooge's story through memories and reflections.\")##\n(\"entity\"<|>\"Christmas\"<|>\"event\"<|>\"Christmas is the season during which festive activities and celebrations are occurring, including dances and gatherings.\")##\n(\"relationship\"<|>\"Fezziwig\"<|>\"Mrs. Fezziwig\"<|>\"Fezziwig and Mrs. Fezziwig dance together, showcasing their joyful relationship and the spirit of togetherness during Christmas.\"<|>\"festivity, companionship\"<|>8)##\n(\"relationship\"<|>\"Scrooge\"<|>\"Marley\"<|>\"Scrooge is deeply affected by Marley's death, illustrated through his role as the sole executor and mourner of Marley.\"<|>\"mourning, partnership\"<|>9)##\n(\"relationship\"<|>\"Scrooge\"<|>\"Christmas\"<|>\"Scrooge's character contrasts sharply with the joy of Christmas, highlighting his disdain for the festive season.\"<|>\"contrast, seasonal significance\"<|>7)##\n(\"content_keywords\"<|>\"festivity, mourning, companionship, Christmas spirit\")<|COMPLETE|>", + "model": "gpt-4o-mini" + }, + "b6d217776b520bf85bf936916835d0b1": { + "return": "(\"entity\"<|>\"Scrooge\"<|>\"person\"<|>\"Scrooge is a character who appears to have a complex relationship with his past, showing a mix of longing and resentment as he encounters the Spirit.\")##\n(\"entity\"<|>\"Ghost of Christmas Past\"<|>\"event\"<|>\"The Ghost of Christmas Past is a supernatural entity that aids Scrooge in reflecting on his past experiences and emotions.\")##\n(\"entity\"<|>\"The City\"<|>\"geo\"<|>\"The City, from which Scrooge is transported, represents his past life and is contrasted with the open country road that signifies his memories.\")##\n(\"entity\"<|>\"Market-Town\"<|>\"geo\"<|>\"The Market-Town is a nostalgic location from Scrooge's youth, evoking memories and emotions tied to his childhood.\")##\n(\"relationship\"<|>\"Scrooge\"<|>\"Ghost of Christmas Past\"<|>\"Scrooge engages with the Ghost of Christmas Past to explore his earlier life, seeking insight into his current state.\"<|>\"reflection, past influence\"<|>8)##\n(\"relationship\"<|>\"Scrooge\"<|>\"Market-Town\"<|>\"Scrooge recognizes the Market-Town, eliciting fond memories from his childhood and emphasizing his emotional response to the past.\"<|>\"nostalgia, memory\"<|>7)##\n(\"relationship\"<|>\"Ghost of Christmas Past\"<|>\"The City\"<|>\"The Ghost of Christmas Past helps transport Scrooge from The City to a memory of his past, highlighting the contrast between present and memory.\"<|>\"transportation, memory\"<|>6)##\n(\"relationship\"<|>\"Scrooge\"<|>\"The City\"<|>\"Scrooge's relationship with The City is marked by detachment, representing his lost connection to his past self and experiences.\"<|>\"disconnection, personal evolution\"<|>5)##\n(\"content_keywords\"<|>\"reflection, nostalgia, personal evolution, memory\")<|COMPLETE|>", + "model": "gpt-4o-mini" + }, + "2b05f17e6e7f73aa7dc5f2c4d1ef948c": { + "return": "(\"entity\"<|>\"Ebenezer\"<|>\"person\"<|>\"Ebenezer is a character who reflects on his past with fondness, remembering his former self and his connection to Dick Wilkins.\")##\n(\"entity\"<|>\"Dick Wilkins\"<|>\"person\"<|>\"Dick Wilkins is Ebenezer's fellow apprentice, with whom he shared a strong attachment during their youth.\")##\n(\"entity\"<|>\"Fezziwig\"<|>\"organization\"<|>\"Fezziwig is a figure representing a cheerful and jovial employer who organizes lively Christmas festivities for his employees.\")##\n(\"entity\"<|>\"Mrs. Fezziwig\"<|>\"person\"<|>\"Mrs. Fezziwig is the wife of Fezziwig, joining him in celebrations and dances, embodying warmth and partnership.\")##\n(\"entity\"<|>\"The Dance\"<|>\"event\"<|>\"The Dance organized by Fezziwig is a festive gathering involving various participants, showcasing joy and celebration during Christmas Eve.\")##\n(\"entity\"<|>\"Christmas Eve\"<|>\"event\"<|>\"Christmas Eve is the night before Christmas, serving as the backdrop for the lively celebrations and dances hosted by Fezziwig.\")##\n(\"relationship\"<|>\"Ebenezer\"<|>\"Dick Wilkins\"<|>\"Ebenezer reflects on his fond memories and attachment to Dick Wilkins from their days as apprentices.\"<|>\"nostalgia, apprenticeship\"<|>8)##\n(\"relationship\"<|>\"Fezziwig\"<|>\"The Dance\"<|>\"Fezziwig organizes The Dance, impacting the morale and enjoyment of his employees on Christmas Eve.\"<|>\"celebration, leadership\"<|>9)##\n(\"relationship\"<|>\"Mrs. Fezziwig\"<|>\"Fezziwig\"<|>\"Mrs. Fezziwig partners with Fezziwig in the festivities, highlighting their companionship during the celebrations.\"<|>\"partnership, celebration\"<|>8)##\n(\"relationship\"<|>\"The Dance\"<|>\"Christmas Eve\"<|>\"The Dance takes place on Christmas Eve, marking a significant festive event in the story.\"<|>\"festivity, holiday celebration\"<|>10)##\n(\"content_keywords\"<|>\"nostalgia, celebration, Christmas, companionship\")<|COMPLETE|>", + "model": "gpt-4o-mini" + }, + "cc95e0e21f91f9d1b6f767e6b0166221": { + "return": "(\"entity\"<|>\"Scrooge\"<|>\"person\"<|>\"Scrooge is a character who engages in a profound conversation with a ghost about the nature of existence and remorse, showcasing his struggle with his past actions.\")##\n(\"entity\"<|>\"Jacob Marley\"<|>\"person\"<|>\"Jacob Marley is the ghost of Scrooge's former business partner, who seeks to impart a lesson about the consequences of a life lived without compassion or connection to humanity.\")##\n(\"entity\"<|>\"The Ghost\"<|>\"event\"<|>\"The Ghost represents the spirit of Jacob Marley, warning Scrooge about the aftereffects of neglecting human virtue and kindness during life.\")##\n(\"entity\"<|>\"Mankind\"<|>\"concept\"<|>\"Mankind signifies the broader human community, which Marley claims should be the focus of compassionate effort rather than mere business pursuits.\")##\n(\"entity\"<|>\"Business\"<|>\"concept\"<|>\"Business refers to the practices of trade and commerce that Marley criticizes for overshadowing more significant moral duties like benevolence and charity.\")##\n(\"relationship\"<|>\"Scrooge\"<|>\"Jacob Marley\"<|>\"Scrooge converses with the ghost of Jacob Marley, who tries to guide him toward understanding the importance of compassion and the consequences of his actions.\"<|>\"redemption, moral lesson\"<|>9)##\n(\"relationship\"<|>\"Jacob Marley\"<|>\"The Ghost\"<|>\"Jacob Marley is embodied by The Ghost, which serves to relay messages about regret and the imperative of kindness to Scrooge.\"<|>\"spiritual guidance, past connections\"<|>8)##\n(\"relationship\"<|>\"Scrooge\"<|>\"Mankind\"<|>\"Scrooge's actions and neglect of mankind are highlighted in Marley's admonitions, emphasizing the need for connection and care for others.\"<|>\"moral responsibility, social awareness\"<|>7)##\n(\"relationship\"<|>\"Jacob Marley\"<|>\"Business\"<|>\"Marley critiques Scrooge's concern for business over the well-being of mankind, highlighting a contrast between economic pursuits and ethical obligations.\"<|>\"critique of materialism, ethical duty\"<|>8)##\n(\"content_keywords\"<|>\"redemption, human connection, moral lesson, consequences of actions\")<|COMPLETE|>", + "model": "gpt-4o-mini" + }, + "371f793d5f1464f976f67054a62f95be": { + "return": "(\"entity\"<|>\"Scrooge\"<|>\"person\"<|>\"Scrooge is a central character who reflects on his past and is visited by a Ghost, indicating a journey of self-discovery and redemption.\")## \n(\"entity\"<|>\"Ghost\"<|>\"person\"<|>\"The Ghost serves as a supernatural guide for Scrooge, prompting him to reflect on his life and choices.\")## \n(\"entity\"<|>\"Little Fan\"<|>\"person\"<|>\"Little Fan is Scrooge's sister, who brings joy and an invitation to come home, representing innocence and familial love.\")## \n(\"entity\"<|>\"Fezziwig\"<|>\"person\"<|>\"Fezziwig is a jovial figure from Scrooge's past, known for his kind-heartedness and as a former employer who embodies the spirit of Christmas.\")## \n(\"entity\"<|>\"Dick Wilkins\"<|>\"person\"<|>\"Dick Wilkins is Scrooge's fellow apprentice and close companion during his younger years, indicating camaraderie during their apprenticeship.\")## \n(\"entity\"<|>\"Christmas-time\"<|>\"event\"<|>\"Christmas-time represents the festive season, a recurring theme that evokes memories and emotions in Scrooge’s reflections.\")## \n(\"relationship\"<|>\"Scrooge\"<|>\"Ghost\"<|>\"The Ghost guides Scrooge through reflections of his past, influencing his journey toward redemption.\"<|>\"reflection, self-discovery\"<|>8)## \n(\"relationship\"<|>\"Scrooge\"<|>\"Little Fan\"<|>\"Little Fan's joyful visit emphasizes family love and the nostalgic warmth of childhood memories for Scrooge.\"<|>\"family, nostalgia\"<|>9)## \n(\"relationship\"<|>\"Scrooge\"<|>\"Fezziwig\"<|>\"Scrooge reminisces about Fezziwig's kindness during his apprenticeship, comparing his past self to his current state.\"<|>\"kindness, mentorship\"<|>8)## \n(\"relationship\"<|>\"Scrooge\"<|>\"Dick Wilkins\"<|>\"Scrooge recalls his friendship with Dick Wilkins, highlighting the connections of youth and support during their apprenticeship.\"<|>\"friendship, apprenticeship\"<|>7)## \n(\"content_keywords\"<|>\"reflection, redemption, family ties, Christmas spirit, nostalgia\")<|COMPLETE|>", + "model": "gpt-4o-mini" + }, + "634f685c0c2c226df03cfd9c92ac5482": { + "return": "(\"entity\"<|>\"Scrooge\"<|>\"person\"<|>\"Scrooge is a central character in the story, facing his own mortality and the consequences of his past actions through the visits of spirits.\")##\n(\"entity\"<|>\"Marley's Ghost\"<|>\"person\"<|>\"Marley's Ghost is a spectral figure who appears to Scrooge to warn him of the impending visits from three spirits, representing remorse for his past deeds.\")##\n(\"entity\"<|>\"The Three Spirits\"<|>\"event\"<|>\"The Three Spirits refer to the supernatural beings that are prophesied to visit Scrooge, each representing different aspects of time and morality.\")##\n(\"entity\"<|>\"The Invisible World\"<|>\"concept\"<|>\"The Invisible World refers to the realm of spirits and supernatural influences that Scrooge glimpses during his encounter with Marley's Ghost.\")##\n(\"entity\"<|>\"The Clock\"<|>\"technology\"<|>\"The Clock is mentioned as malfunctioning, which symbolizes the confusion and distortion of time that Scrooge experiences during his nighttime visitations.\")##\n(\"relationship\"<|>\"Scrooge\"<|>\"Marley's Ghost\"<|>\"Marley's Ghost warns Scrooge about the consequences of his actions and the visits of the three spirits, setting the stage for his transformation.\"<|>\"warning, fate\"<|>8)##\n(\"relationship\"<|>\"Scrooge\"<|>\"The Three Spirits\"<|>\"Scrooge is directly involved in the narrative concerning the Three Spirits who are meant to guide him toward redemption.\"<|>\"redemption, transformation\"<|>9)##\n(\"relationship\"<|>\"Marley's Ghost\"<|>\"The Invisible World\"<|>\"Marley's Ghost illustrates the existence of the Invisible World and its impact on human lives as he warns Scrooge about his fate.\"<|>\"supernatural, morality\"<|>7)##\n(\"relationship\"<|>\"Scrooge\"<|>\"The Clock\"<|>\"Scrooge's interaction with the faulty clock symbolizes his disconnection from time and reality, as he struggles to comprehend his experiences.\"<|>\"time distortion, confusion\"<|>6)##\n(\"content_keywords\"<|>\"morality, redemption, supernatural, time distortion\")<|COMPLETE|>", + "model": "gpt-4o-mini" + }, + "6abaeba2769933c3d9f1bf8dd66f0db8": { + "return": "(\"entity\"<|>\"Scrooge\"<|>\"person\"<|>\"Scrooge is a central character who is portrayed as miserly and unyielding, exhibiting a lack of consideration for others and a deep sense of melancholy.\")##\n(\"entity\"<|>\"Bob Cratchit\"<|>\"person\"<|>\"Bob Cratchit is Scrooge's clerk, who demonstrates a sense of hope and joy, particularly highlighted during Christmas Eve.\")##\n(\"entity\"<|>\"Marley\"<|>\"person\"<|>\"Marley is Scrooge's deceased business partner, whose spectral presence looms over Scrooge, evoking themes of regret and the supernatural.\")##\n(\"entity\"<|>\"Christmas Eve\"<|>\"event\"<|>\"Christmas Eve is depicted as a significant time, bringing about joyful activities like sliding down snow hills, contrasting with Scrooge's dour demeanor.\")##\n(\"entity\"<|>\"London\"<|>\"geo\"<|>\"London serves as the geographical setting for the story, encapsulating the harsh winter atmosphere and the life of its inhabitants during the festive season.\")##\n(\"relationship\"<|>\"Scrooge\"<|>\"Bob Cratchit\"<|>\"Scrooge is the employer of Bob Cratchit, demonstrating a power dynamic characterized by Scrooge's harsh treatment and Bob's subservient role.\"<|>\"employment, power dynamic\"<|>6)##\n(\"relationship\"<|>\"Scrooge\"<|>\"Marley\"<|>\"Scrooge reflects on Marley, revealing his past connection and the haunting aspect of Marley's death, which influences Scrooge's character arc.\"<|>\"supernatural connection, past relationships\"<|>8)##\n(\"relationship\"<|>\"Bob Cratchit\"<|>\"Christmas Eve\"<|>\"Bob Cratchit embodies the joy of Christmas Eve while Scrooge's perspective starkly contrasts with Bob's happiness during the holiday season.\"<|>\"celebration, contrast\"<|>5)##\n(\"relationship\"<|>\"Scrooge\"<|>\"London\"<|>\"Scrooge's experiences reflect the larger context of life in London during the festive season, emphasizing the mood of the city at that time.\"<|>\"setting, seasonal context\"<|>7)##\n(\"content_keywords\"<|>\"miserliness, Christmas, supernatural, contrast between joy and melancholy\")<|COMPLETE|>", + "model": "gpt-4o-mini" + }, + "fe9aaca3a0fa3a437655b0148e15b0c1": { + "return": "(\"entity\"<|>\"Scrooge\"<|>\"person\"<|>\"Scrooge is a miserly character who despises Christmas and is cynical about the holiday's significance.\")##\n(\"entity\"<|>\"Scrooge's Nephew\"<|>\"person\"<|>\"Scrooge's Nephew is portrayed as optimistic about Christmas, emphasizing its positive qualities despite Scrooge's negativity.\")##\n(\"entity\"<|>\"Mr. Marley\"<|>\"person\"<|>\"Mr. Marley is Scrooge's deceased business partner who died seven years ago, representing a connection to Scrooge's past and his current miserly outlook.\")##\n(\"entity\"<|>\"The Clerk\"<|>\"person\"<|>\"The Clerk is a subordinate to Scrooge who serves as a contrast to his boss's character, showing warmth and holiday spirit.\")##\n(\"entity\"<|>\"Liberty\"<|>\"event\"<|>\"The discussion around liberality represents a call to generosity and charity during the festive season, which Scrooge rebuffs.\")##\n(\"entity\"<|>\"Christmas\"<|>\"event\"<|>\"Christmas is central to the text, symbolizing generosity, charity, and warmth that Scrooge rejects.\")##\n(\"relationship\"<|>\"Scrooge\"<|>\"Scrooge's Nephew\"<|>\"Scrooge's Nephew tries to convince Scrooge of the joys of Christmas, illustrating the conflict between their differing views on the holiday.\"<|>\"family conflict, differing perspectives\"<|>8)##\n(\"relationship\"<|>\"Scrooge\"<|>\"Mr. Marley\"<|>\"Scrooge reflects on Mr. Marley's death, highlighting his isolation and connection to past values that he now rejects.\"<|>\"past connection, isolation\"<|>7)##\n(\"relationship\"<|>\"Scrooge\"<|>\"The Clerk\"<|>\"The Clerk represents the festive spirit of Christmas that Scrooge dismisses, showcasing Scrooge's coldness.\"<|>\"contrast in attitudes, workplace dynamics\"<|>6)##\n(\"relationship\"<|>\"Scrooge's Nephew\"<|>\"Christmas\"<|>\"Scrooge's Nephew defends the positive aspects of Christmas, contrasting Scrooge's view that the holiday is pointless.\"<|>\"advocacy for holiday spirit, family dynamics\"<|>9)##\n(\"relationship\"<|>\"Mr. Marley\"<|>\"Liberty\"<|>\"Mr. Marley’s past generosity is invoked during a discussion about the need for liberality, showing a connection to Scrooge’s current attitudes.\"<|>\"past values, moral expectations\"<|>5)##\n(\"content_keywords\"<|>\"Christmas, family conflict, charity, isolation\")<|COMPLETE|>", + "model": "gpt-4o-mini" + }, + "95e3e9ed4ebba90196292e83422ede45": { + "return": "(\"entity\"<|>\"Fezziwig\"<|>\"organization\"<|>\"Fezziwig is a character noted for his role during a domestic ball, providing a joyful atmosphere and exemplifying kindness and generosity.\")##\n(\"entity\"<|>\"Mrs. Fezziwig\"<|>\"person\"<|>\"Mrs. Fezziwig is Fezziwig's partner at the domestic ball, contributing to the festive atmosphere alongside her husband.\")##\n(\"entity\"<|>\"Scrooge\"<|>\"person\"<|>\"Scrooge is a character experiencing a transformation as he reflects on his past and the impact of Fezziwig's generosity during the ball.\")##\n(\"entity\"<|>\"The Ghost of Christmas Past\"<|>\"event\"<|>\"The Ghost of Christmas Past is a supernatural entity that shows Scrooge moments from his past, eliciting reflection and emotion.\")##\n(\"entity\"<|>\"The Domestic Ball\"<|>\"event\"<|>\"The Domestic Ball is a joyful celebration organized by Fezziwig, where guests enjoy dancing and merry exchanges.\")##\n(\"entity\"<|>\"Dick\"<|>\"person\"<|>\"Dick is a character from Scrooge's past, reminisced about during the scene, representing the camaraderie shared during the ball.\")##\n(\"relationship\"<|>\"Fezziwig\"<|>\"Mrs. Fezziwig\"<|>\"Fezziwig and Mrs. Fezziwig work together to create a festive and welcoming environment during the domestic ball.\"<|>\"partnership, celebration\"<|>9)##\n(\"relationship\"<|>\"Scrooge\"<|>\"Fezziwig\"<|>\"Scrooge reflects positively on Fezziwig's past actions, acknowledging the happiness and gratitude he inspired in people.\"<|>\"reflection, influence\"<|>8)##\n(\"relationship\"<|>\"The Ghost of Christmas Past\"<|>\"Scrooge\"<|>\"The Ghost of Christmas Past guides Scrooge through recollections, prompting his introspection about his former self and choices.\"<|>\"introspection, memory\"<|>10)##\n(\"relationship\"<|>\"Fezziwig\"<|>\"The Domestic Ball\"<|>\"Fezziwig organizes the Domestic Ball, showcasing his ability to create joy and camaraderie among guests.\"<|>\"event organization, joy\"<|>10)##\n(\"relationship\"<|>\"Scrooge\"<|>\"Dick\"<|>\"Scrooge remembers Dick as a part of his past, highlighting their shared experiences during happier times.\"<|>\"nostalgia, friendship\"<|>7)##\n(\"content_keywords\"<|>\"transformation, joy, memory, generosity\")<|COMPLETE|>", + "model": "gpt-4o-mini" + }, + "fb5cc30455a081e6a6571a0627c00c7d": { + "return": "(\"entity\"<|>\"Scrooge\"<|>\"person\"<|>\"Scrooge is a character known for his miserly disposition and reluctance to aid the poor, particularly during the Christmas season.\")##\n(\"entity\"<|>\"The Gentleman\"<|>\"person\"<|>\"The Gentleman is a character who advocates for helping the poor and trying to raise a fund for those in need during Christmas.\")##\n(\"entity\"<|>\"The Union Workhouses\"<|>\"organization\"<|>\"The Union Workhouses are institutions mentioned as a means of supporting the poor, still operational during Scrooge's time.\")##\n(\"entity\"<|>\"The Treadmill\"<|>\"organization\"<|>\"The Treadmill is an institution referenced as part of the welfare system that Scrooge acknowledges.\")##\n(\"entity\"<|>\"Christmas\"<|>\"event\"<|>\"Christmas is depicted as a festive season when charity and social duty are emphasized, contrasting with Scrooge's values.\")##\n(\"entity\"<|>\"The Main Street\"<|>\"geo\"<|>\"The Main Street is a location described where activity is bustling during the cold season, reflecting the social dynamics of the area.\")##\n(\"entity\"<|>\"The Mansion House\"<|>\"organization\"<|>\"The Mansion House is identified as the residence of the Lord Mayor, a place associated with Christmas festivities and order.\")##\n(\"relationship\"<|>\"Scrooge\"<|>\"The Gentleman\"<|>\"Scrooge and The Gentleman have opposing views on charity and helping the poor during Christmas, showing a stark contrast in values.\"<|>\"charity, conflict of values\"<|>8)##\n(\"relationship\"<|>\"Scrooge\"<|>\"Christmas\"<|>\"Scrooge's attitude towards Christmas highlights his disconnection from the festive spirit and charity associated with the holiday.\"<|>\"disconnection, festive spirit\"<|>7)##\n(\"relationship\"<|>\"The Gentleman\"<|>\"The Union Workhouses\"<|>\"The Gentleman mentions The Union Workhouses as alternatives for the poor, suggesting a connection to his advocacy for helping them.\"<|>\"advocacy, support systems\"<|>6)##\n(\"relationship\"<|>\"The Treadmill\"<|>\"The Union Workhouses\"<|>\"Both The Treadmill and The Union Workhouses are part of the system intended to manage the poor, referenced in Scrooge's conversation.\"<|>\"welfare system, social management\"<|>5)##\n(\"relationship\"<|>\"The Mansion House\"<|>\"Christmas\"<|>\"The Mansion House is referenced in the context of Christmas celebrations, illustrating its role in festive festivities and governance.\"<|>\"festivities, governance\"<|>7)##\n(\"relationship\"<|>\"Scrooge\"<|>\"The Main Street\"<|>\"Scrooge's experiences on The Main Street during Christmas time reflect his discontent with the surrounding joy and celebrations.\"<|>\"social dynamics, personal struggle\"<|>6)##\n(\"content_keywords\"<|>\"charity, Christmas spirit, conflict of values, social dynamics\")<|COMPLETE|>", + "model": "gpt-4o-mini" + }, + "427f3f0888e677aa2216716b8b911c69": { + "return": "(\"entity\"<|>\"Scrooge\"<|>\"person\"<|>\"Scrooge is a central character who reflects on his past and is deeply affected by the memories of his childhood and the loneliness he experienced.\")##\n(\"entity\"<|>\"Ali Baba\"<|>\"person\"<|>\"Ali Baba is mentioned as a character from a story that impacts Scrooge during his reflection on Christmas and childhood.\")##\n(\"entity\"<|>\"Valentine\"<|>\"person\"<|>\"Valentine is referenced as a brother of a character, and his presence contributes to the holiday memories Scrooge recalls.\")##\n(\"entity\"<|>\"Orson\"<|>\"person\"<|>\"Orson is mentioned as another brother mentioned by Scrooge, recalling his childhood tales and adventures.\")##\n(\"entity\"<|>\"Robin Crusoe\"<|>\"person\"<|>\"Robin Crusoe is a character referenced by Scrooge as part of his memories, signifying tales of adventure and nostalgia.\")##\n(\"entity\"<|>\"Friday\"<|>\"person\"<|>\"Friday is another character from a story mentioned by Scrooge during his nostalgic recollections of childhood.\")##\n(\"entity\"<|>\"The Ghost\"<|>\"organization\"<|>\"The Ghost serves as a guiding presence that helps Scrooge confront and reflect on his past during Christmas.\")##\n(\"entity\"<|>\"Christmas\"<|>\"event\"<|>\"Christmas is a significant holiday that triggers Scrooge's memories and reflections on joy, loneliness, and his past.\")##\n(\"entity\"<|>\"Christmas Carol\"<|>\"event\"<|>\"A Christmas Carol is referenced as a song that Scrooge recalls when thinking about giving and community.\")##\n(\"relationship\"<|>\"Scrooge\"<|>\"Ali Baba\"<|>\"Scrooge recalls Ali Baba while reflecting on memories of Christmas, indicating a strong personal connection to the story and its impact on him.\"<|>\"nostalgia, childhood stories\"<|>8)##\n(\"relationship\"<|>\"Scrooge\"<|>\"Valentine\"<|>\"Scrooge's mention of Valentine signifies his memories of familial ties and childhood experiences during Christmas.\"<|>\"family memories, nostalgia\"<|>6)##\n(\"relationship\"<|>\"Scrooge\"<|>\"Orson\"<|>\"Same as above, Orson is part of Scrooge's memories of his brothers during Christmas time, emphasizing themes of togetherness and nostalgia.\"<|>\"family memories, nostalgia\"<|>6)##\n(\"relationship\"<|>\"Scrooge\"<|>\"Robin Crusoe\"<|>\"Scrooge's reference to Robin Crusoe during his reflections shows how literary characters shaped his childhood thoughts and feelings.\"<|>\"literary influence, nostalgia\"<|>7)##\n(\"relationship\"<|>\"Scrooge\"<|>\"Friday\"<|>\"Scrooge's mention of Friday signifies his recollection of childhood stories and influences during Christmas time.\"<|>\"storytelling, childhood memories\"<|>5)##\n(\"relationship\"<|>\"Scrooge\"<|>\"The Ghost\"<|>\"The Ghost serves as a catalyst for Scrooge's reflections, guiding him to confront his past and feelings about Christmas.\"<|>\"reflection, guidance\"<|>9)##\n(\"relationship\"<|>\"Scrooge\"<|>\"Christmas\"<|>\"Christmas is a central theme that invokes Scrooge's memories of his past, his feelings of loneliness, and his desire to connect.\"<|>\"holiday significance, reflection\"<|>10)##\n(\"relationship\"<|>\"Scrooge\"<|>\"Christmas Carol\"<|>\"Scrooge recalls a Christmas carol, wishing to give to a boy, which signifies his longing for connection and generosity.\"<|>\"generosity, connection\"<|>8)##\n(\"content_keywords\"<|>\"nostalgia, childhood memories, reflection, Christmas\")<|COMPLETE|>", + "model": "gpt-4o-mini" + }, + "0fa945ad99c54bf67214b27830b72e75": { + "return": "(\"entity\"<|>\"cash-boxes\"<|>\"concept\"<|>\"Cash-boxes are items represented in the ghost's chain, symbolizing Marley’s greed and the burdens of material wealth in life.\")##\n(\"entity\"<|>\"keys\"<|>\"concept\"<|>\"Keys represent control and access, also included in the ghost's chain, indicating the constraints of Marley’s earthly desires.\")##\n(\"entity\"<|>\"padlocks\"<|>\"concept\"<|>\"Padlocks are part of the ghost's chain, signifying confinement and the lock on Marley’s spirit due to his selfish actions in life.\")##\n(\"entity\"<|>\"ledgers\"<|>\"concept\"<|>\"Ledgers symbolize records of transactions, reflecting Marley’s focus on business and financial dealings during his life.\")##\n(\"entity\"<|>\"deeds\"<|>\"concept\"<|>\"Deeds represent property ownership, indicating the material attachments that bound Marley in life and continue to do so in death.\")##\n(\"entity\"<|>\"heavy purses\"<|>\"concept\"<|>\"Heavy purses in the ghost's chain symbolize the weight of wealth and the burden of not sharing that wealth with others.\")##\n(\"entity\"<|>\"the heavy door\"<|>\"location\"<|>\"The heavy door is a physical boundary encountered by Scrooge, marking the transition between the ordinary world and the supernatural visitation.\")##\n(\"entity\"<|>\"the fireplace\"<|>\"location\"<|>\"The fireplace serves as a significant setting for the interaction between Scrooge and the ghost, representing warmth but also the stark contrast to the ghost's cold presence.\")##\n(\"entity\"<|>\"spirit\"<|>\"concept\"<|>\"Spirit represents the essence of Marley that is attempting to interact with Scrooge, indicating themes of afterlife and unresolved issues.\")##\n(\"entity\"<|>\"the bandage\"<|>\"concept\"<|>\"The bandage is an item used by the ghost, symbolizing decay and the remnants of Marley’s struggle with his own existence post-death.\")##\n(\"entity\"<|>\"the cosmic significance\"<|>\"concept\"<|>\"The cosmic significance refers to the broader themes of morality and the impact of one’s actions on others, reflected in Marley’s message to Scrooge.\")##", + "model": "gpt-4o-mini" + }, + "750b5539066571350b27897c23316142": { + "return": "(\"entity\"<|>\"The Cold\"<|>\"concept\"<|>\"The Cold represents the emotional and physical chill that surrounds Scrooge, symbolizing his heartless nature and isolation from others.\")##\n(\"entity\"<|>\"Fog\"<|>\"geo\"<|>\"Fog is a weather phenomenon that adds to the bleak atmosphere, reflecting the obscurity and confusion in Scrooge's life.\")##\n(\"entity\"<|>\"The Clerk\"<|>\"person\"<|>\"The Clerk works in Scrooge's counting-house, depicted as miserable and diminished under Scrooge's strict management.\")##\n(\"entity\"<|>\"Christmas Eve\"<|>\"event\"<|>\"Christmas Eve is the specific time setting in the story, highlighting the contrast between the joy of the holiday and Scrooge's negativity.\")##\n(\"entity\"<|>\"The City\"<|>\"geo\"<|>\"The City provides the backdrop for Scrooge's story, representing the bustling environment that underscores his loneliness and detachment from society.\")##\n(\"relationship\"<|>\"Scrooge\"<|>\"The Clerk\"<|>\"Scrooge's treatment of the Clerk highlights his miserly and cruel nature, contributing to an oppressive work environment.\"<|>\"unfair treatment, workplace dynamics\"<|>7)##\n(\"relationship\"<|>\"The Cold\"<|>\"Scrooge\"<|>\"The Cold serves as a metaphor for Scrooge's emotional state, indicating his lack of warmth and compassion.\"<|>\"metaphor, emotional state\"<|>8)##\n(\"relationship\"<|>\"Fog\"<|>\"The City\"<|>\"The fog in The City creates a dreary atmosphere, signifying confusion and obscured visibility, paralleling Scrooge's cold perspective on life.\"<|>\"atmosphere, symbolism\"<|>6)##\n(\"relationship\"<|>\"Christmas Eve\"<|>\"Christmas\"<|>\"Christmas Eve sets the stage for the events leading to Christmas, amplifying the significance of the holiday in Scrooge's transformation.\"<|>\"holiday significance, festive anticipation\"<|>8)<|COMPLETE|>", + "model": "gpt-4o-mini" + }, + "f9419be8687d4e03b1b64a53803c4a11": { + "return": "(\"entity\"<|>\"Spirit\"<|>\"person\"<|>\"The Spirit is the manifestation of Scrooge's past that guides him through his memories, representing his former self and the influence of time.\")##\n(\"entity\"<|>\"Winter Day\"<|>\"event\"<|>\"The Winter Day signifies the seasonal setting during Scrooge's journey through his memories, highlighting a clear, cold atmosphere filled with nostalgia.\")##\n(\"entity\"<|>\"Children\"<|>\"person\"<|>\"The Children represent the joyful, carefree aspects of Scrooge's past, embodying happiness and the innocence of youth that he has long forgotten.\")##\n(\"entity\"<|>\"School\"<|>\"organization\"<|>\"The School is a location associated with Scrooge's neglected childhood, symbolizing loneliness and lost opportunities for connection and joy.\")##\n(\"relationship\"<|>\"Scrooge\"<|>\"Spirit\"<|>\"Scrooge’s interaction with the Spirit emphasizes the emotional weight of his past decisions and feelings as they relate to his transformation.\"<|>\"guidance, emotional journey\"<|>8)##\n(\"relationship\"<|>\"Scrooge\"<|>\"Children\"<|>\"Scrooge's reaction to the Children he observes in his memories reveals his longing for the happiness he once knew but has since lost.\"<|>\"longing, innocence\"<|>7)##\n(\"relationship\"<|>\"Spirit\"<|>\"School\"<|>\"The Spirit leads Scrooge to the School, invoking memories of solitary times that deeply impact his emotional state.\"<|>\"reflection, nostalgia\"<|>6)##\n(\"relationship\"<|>\"Scrooge\"<|>\"School\"<|>\"The School serves as a poignant reminder of Scrooge's childhood neglect, influencing his character development and emotional barriers.\"<|>\"neglect, formative experiences\"<|>7)##\n(\"content_keywords\"<|>\"nostalgia, childhood, emotional impact, guidance\")<|COMPLETE|>", + "model": "gpt-4o-mini" + }, + "9983a71b129178e931ae0c14a77570b5": { + "return": "(\"entity\"<|>\"The Spring\"<|>\"technology\"<|>\"The Spring is a mechanism within The Clock that Scrooge touches to correct its malfunction, highlighting his engagement with technology amid his confusion about time.\")##\n(\"entity\"<|>\"Bed Curtains\"<|>\"technology\"<|>\"The Bed Curtains are part of Scrooge's bedroom that are drawn aside, heralding the appearance of The Visitor and creating a pivotal moment in the narrative.\")##\n(\"entity\"<|>\"Light\"<|>\"concept\"<|>\"Light emanates from The Visitor, symbolizing clarity, revelation, and the supernatural, contrasting with the darkness around Scrooge's situation.\")##\n(\"entity\"<|>\"Holly Branch\"<|>\"technology\"<|>\"The Holly Branch is held by The Visitor, representing the duality of winter and spring, life and death, embodying the hope of renewal.\")##\n(\"entity\"<|>\"Dream\"<|>\"concept\"<|>\"Dream refers to the possibility that Scrooge's experiences are a figment of his imagination, reflecting his internal struggle with reality and perception.\")##\n(\"relationship\"<|>\"Marley's Ghost\"<|>\"The Visitor\"<|>\"Both Marley's Ghost and The Visitor are supernatural figures that interact with Scrooge, influencing his understanding of his life's choices.\"<|>\"supernatural connection, influence\"<|>8)##\n(\"relationship\"<|>\"The Visitor\"<|>\"Light\"<|>\"The Visitor is associated with Light, which represents enlightenment and understanding for Scrooge during his existential crisis.\"<|>\"enlightenment, revelation\"<|>9)##\n(\"relationship\"<|>\"The Visitor\"<|>\"Holly Branch\"<|>\"The Holly Branch held by The Visitor signifies themes of life, renewal, and the intersection of winter and spring in their encounter.\"<|>\"symbolism, renewal\"<|>7)##\n(\"relationship\"<|>\"Ebenezer Scrooge\"<|>\"Dream\"<|>\"Scrooge contemplates whether his experiences are merely a Dream, showcasing his inner conflict with reality and imagination.\"<|>\"reality vs. illusion, introspection\"<|>6)##\n(\"content_keywords\"<|>\"supernatural beings, conflict with reality, symbolism, light and dark\")<|COMPLETE|>", + "model": "gpt-4o-mini" + }, + "c6bc5075c23f7eabe3fe35ad6ef0dfd1": { + "return": "(\"entity\"<|>\"Joe\"<|>\"person\"<|>\"Joe is a character engaged in a conversation, displaying curiosity and a sense of humor regarding a situation related to 'bed-curtains'.\")##\n(\"entity\"<|>\"The Plump Sister\"<|>\"person\"<|>\"The Plump Sister is depicted in a light-hearted and humorous context, illustrating the fun of Christmas gatherings.\")##\n(\"entity\"<|>\"The Woman\"<|>\"person\"<|>\"The Woman engages in a humorous exchange with Joe about taking down bed-curtains, showcasing lively communication among characters.\")##\n(\"entity\"<|>\"Fred\"<|>\"person\"<|>\"Fred is Scrooge's nephew, representing the warmth and joy of family that Scrooge initially rejects.\")##\n(\"entity\"<|>\"Old Scratch\"<|>\"person\"<|>\"Old Scratch is mentioned as a figure related to the conversation, symbolizing mischief and humor.\")##\n(\"entity\"<|>\"The Register\"<|>\"event\"<|>\"The Register documents Marley's burial, highlighting the formal acknowledgment of his death.\")##\n(\"entity\"<|>\"The Funeral\"<|>\"event\"<|>\"The Funeral serves as a significant event reflecting on Marley's death, noted for its business-like atmosphere as perceived by Scrooge.\")##\n(\"relationship\"<|>\"Joe\"<|>\"The Woman\"<|>\"Joe and The Woman share a humorous exchange about the bed-curtains, reflecting the jovial spirit of the gathering.\"<|>\"humor, interaction\"<|>6)##\n(\"relationship\"<|>\"Scrooge\"<|>\"Fred\"<|>\"Scrooge's interaction with Fred emphasizes his rejection of familial warmth during the Christmas season.\"<|>\"rejection, familial dynamics\"<|>7)##\n(\"relationship\"<|>\"Scrooge\"<|>\"The Register\"<|>\"Scrooge's connection to The Register reinforces his involvement in Marley's death and the responsibilities that follow.\"<|>\"responsibility, mourning\"<|>8)##\n(\"relationship\"<|>\"Scrooge\"<|>\"The Funeral\"<|>\"Scrooge treats The Funeral as a business transaction, showing his cold approach to personal loss and death.\"<|>\"business, emotional detachment\"<|>7)##\n(\"content_keywords\"<|>\"humor, family, interaction, mourning\")<|COMPLETE|>", + "model": "gpt-4o-mini" + }, + "749b6e8b484fd12302eff82136755095": { + "return": "(\"entity\"<|>\"Project Gutenberg\"<|>\"organization\"<|>\"Project Gutenberg is a digital library offering free eBooks, allowing anyone to access literature in various formats without restrictions.\")##\n(\"entity\"<|>\"A Christmas Carol\"<|>\"event\"<|>\"A Christmas Carol is a novella by Charles Dickens that explores themes of redemption, compassion, and the spirit of Christmas, first published in 1843.\")##\n(\"entity\"<|>\"Charles Dickens\"<|>\"person\"<|>\"Charles Dickens is a renowned English writer and social critic, best known for his novels depicting Victorian society, including A Christmas Carol.\")##\n(\"entity\"<|>\"Arthur Rackham\"<|>\"person\"<|>\"Arthur Rackham was an English illustrator known for his imaginative and detailed illustrations for children's books, including A Christmas Carol.\")##\n(\"entity\"<|>\"Ebenezer Scrooge\"<|>\"person\"<|>\"Ebenezer Scrooge is the main character of A Christmas Carol, portrayed as a miserly and greedy old man who experiences a transformation through the visitation of spirits.\")##\n(\"entity\"<|>\"Bob Cratchit\"<|>\"person\"<|>\"Bob Cratchit is the dedicated clerk of Ebenezer Scrooge, representing the struggles of the working class and the importance of family in A Christmas Carol.\")##\n(\"entity\"<|>\"Tiny Tim\"<|>\"person\"<|>\"Tiny Tim, the son of Bob Cratchit, is a sickly child whose positive outlook on life symbolizes hope and compassion in A Christmas Carol.\")##\n(\"entity\"<|>\"Ghost of Christmas Past\"<|>\"event\"<|>\"The Ghost of Christmas Past is a supernatural character that shows Scrooge his past, helping him understand the roots of his current miserliness.\")##\n(\"entity\"<|>\"Ghost of Christmas Present\"<|>\"event\"<|>\"The Ghost of Christmas Present is a spirit that reveals to Scrooge the joys and struggles of the present Christmas season, emphasizing generosity and compassion.\")##\n(\"entity\"<|>\"Ghost of Christmas Yet to Come\"<|>\"event\"<|>\"The Ghost of Christmas Yet to Come is an apparition that presents Scrooge with a grim vision of his possible future if he doesn't change his ways.\")##\n(\"relationship\"<|>\"A Christmas Carol\"<|>\"Project Gutenberg\"<|>\"A Christmas Carol is published and distributed freely through Project Gutenberg, making it accessible to a global audience.\"<|>\"publication, accessibility\"<|>9)##\n(\"relationship\"<|>\"Charles Dickens\"<|>\"A Christmas Carol\"<|>\"Charles Dickens authored A Christmas Carol, which reflects his views on Victorian society and social issues.\"<|>\"author, literary impact\"<|>10)##\n(\"relationship\"<|>\"Arthur Rackham\"<|>\"A Christmas Carol\"<|>\"Arthur Rackham illustrated A Christmas Carol, enhancing the visual experience of Dickens' narrative.\"<|>\"illustration, artistic contribution\"<|>8)##\n(\"relationship\"<|>\"Ebenezer Scrooge\"<|>\"Tiny Tim\"<|>\"Ebenezer Scrooge, through his interactions with Tiny Tim, learns about compassion and the importance of family and community.\"<|>\"redemption, compassion\"<|>9)##\n(\"relationship\"<|>\"Bob Cratchit\"<|>\"Ebenezer Scrooge\"<|>\"Bob Cratchit works for Ebenezer Scrooge, embodying the struggles of the working class in contrast to Scrooge's miserliness.\"<|>\"workplace dynamics, social contrast\"<|>7)##\n(\"relationship\"<|>\"Ghost of Christmas Past\"<|>\"Ebenezer Scrooge\"<|>\"The Ghost of Christmas Past helps Scrooge reflect on his earlier life decisions, sparking his journey of transformation.\"<|>\"reflection, transformation\"<|>9)##\n(\"relationship\"<|>\"Ghost of Christmas Present\"<|>\"Ebenezer Scrooge\"<|>\"The Ghost of Christmas Present reveals to Scrooge the reality of his current life, highlighting the need for change.\"<|>\"revelation, current state\"<|>9)##\n(\"relationship\"<|>\"Ghost of Christmas Yet to Come\"<|>\"Ebenezer Scrooge\"<|>\"The Ghost of Christmas Yet to Come shows Scrooge a dire future, which acts as a catalyst for his transformation.\"<|>\"future reflection, transformation\"<|>10)##\n(\"content_keywords\"<|>\"redemption, compassion, social critique, transformation\")<|COMPLETE|>", + "model": "gpt-4o-mini" + }, + "180e01b6576aa73addeda5a221eed6b6": { + "return": "(\"entity\"<|>\"The Chain\"<|>\"concept\"<|>\"The Chain refers to the symbolic burden that Marley carries, representing the consequences of his actions and the remorse that traps him in his spectral form.\")##\n(\"entity\"<|>\"Crowd of Fellow-Beings\"<|>\"concept\"<|>\"The Crowd of Fellow-Beings signifies the people Marley neglected throughout his life, highlighting the need for social responsibility and community engagement.\")##\n(\"entity\"<|>\"Christmas Eves\"<|>\"event\"<|>\"Christmas Eves refers to the recurring time periods that Marley reflects upon, indicating the weight of his past decisions leading to regret.\")##\n(\"entity\"<|>\"The Blessed Star\"<|>\"concept\"<|>\"The Blessed Star symbolizes hope and guidance, representing the moral path that Marley believes Scrooge should have followed and acknowledged.\")##\n(\"entity\"<|>\"Iron Cable\"<|>\"concept\"<|>\"Iron Cable is a metaphorical representation of the heavy burdens of regret and unfulfilled opportunities carried by Marley in the afterlife.\")##\n(\"entity\"<|>\"The Common Welfare\"<|>\"concept\"<|>\"The Common Welfare emphasizes the idea that collective well-being should be a primary concern for individuals, contrasting with selfish pursuits.\")##\n(\"entity\"<|>\"Other Regions\"<|>\"concept\"<|>\"Other Regions alludes to the spiritual realm and existence beyond earthly life that Marley refers to, highlighting the interaction between the physical and spiritual worlds.\")##\n(\"entity\"<|>\"Seven Years\"<|>\"event\"<|>\"Seven Years denotes the duration since Marley passed away, a significant timeframe during which he reflects on his unending labor and remorse.\")##\n(\"entity\"<|>\"Counting-House\"<|>\"location\"<|>\"The Counting-House is a physical space representing the business environment where Scrooge and Marley engaged in trade but also symbolizes their limited worldview.\")##\n(\"entity\"<|>\"Fellow-Men\"<|>\"concept\"<|>\"Fellow-Men refers to individuals with whom Marley and Scrooge share a human connection, underscoring the importance of empathy and human relationships.\")##\n(\"entity\"<|>\"Ponderous Chain\"<|>\"concept\"<|>\"Ponderous Chain symbolizes the heavy emotional and moral burden that Marley carries as a consequence of his choices in life, particularly relating to his business practices.\")##\n(\"content_keywords\"<|>\"remorse, moral awakening, spiritual burden, societal responsibility\")<|COMPLETE|>", + "model": "gpt-4o-mini" + }, + "79d0cc76f9ccaf3cc5c0c4770762d329": { + "return": "(\"entity\"<|>\"The Schoolmaster\"<|>\"person\"<|>\"The Schoolmaster is an authoritative figure who oversees Scrooge and the other boys, representing the harshness of education and discipline.\")## \n(\"entity\"<|>\"Master Scrooge\"<|>\"person\"<|>\"Master Scrooge is the young version of Scrooge who is influenced by his environment and experiences during his schooling.\")## \n(\"entity\"<|>\"Father\"<|>\"person\"<|>\"Father refers to Scrooge's father, who is noted for being kinder than before, allowing Scrooge to return home.\")## \n(\"entity\"<|>\"The Chaise\"<|>\"organization\"<|>\"The Chaise is the mode of transportation that takes Scrooge and Little Fan away from the school, symbolizing transition and change.\")## \n(\"entity\"<|>\"The City\"<|>\"geo\"<|>\"The City represents the bustling urban environment where Scrooge reflects on his past, filled with activity and shadowy figures.\")## \n(\"entity\"<|>\"The Warehouse\"<|>\"location\"<|>\"The Warehouse is a specific location where Scrooge had previously apprenticed and holds significant memories for him.\")## \n(\"relationship\"<|>\"Scrooge\"<|>\"The Schoolmaster\"<|>\"The Schoolmaster represents authority and discipline in Scrooge's early life, influencing his development.\"<|>\"authority, discipline\"<|>6)## \n(\"relationship\"<|>\"Little Fan\"<|>\"Father\"<|>\"Little Fan discusses the kindness of their Father, indicating a change in the family dynamics that impacts Scrooge.\"<|>\"family, change\"<|>7)## \n(\"relationship\"<|>\"Scrooge\"<|>\"The City\"<|>\"Scrooge's reflections in the City highlight his relationship with his past and the contrast of his current life.\"<|>\"reflection, urban life\"<|>5)## \n(\"relationship\"<|>\"Scrooge\"<|>\"The Warehouse\"<|>\"Scrooge's connection to the Warehouse emphasizes his memories of apprenticeship and his past experiences.\"<|>\"memories, apprenticeship\"<|>8)## \n(\"relationship\"<|>\"Scrooge\"<|>\"Master Scrooge\"<|>\"The young Master Scrooge represents Scrooge's earlier aspirations and innocence, contrasting with his current self.\"<|>\"nostalgia, identity\"<|>9)## \n(\"content_keywords\"<|>\"authority, family dynamics, urban life, memories, identity\")<|COMPLETE|>", + "model": "gpt-4o-mini" + }, + "0b2c60d67fd1327eaf6b8ff21a5a2f79": { + "return": "(\"entity\"<|>\"The Poor\"<|>\"person\"<|>\"The Poor refers to the individuals in society who are destitute and in need of assistance, often highlighted in discussions about charity during Christmas.\")##\n(\"entity\"<|>\"The Clerk\"<|>\"person\"<|>\"The Clerk is an employee of Scrooge, who quietly awaits the end of the workday and represents the working class.\")##\n(\"entity\"<|>\"Christmas Carol\"<|>\"event\"<|>\"The Christmas Carol is a musical tradition performed during the Christmas season, symbolizing goodwill and festive spirit.\")##\n(\"entity\"<|>\"The Fog\"<|>\"geo\"<|>\"The Fog is a weather condition described as thickening around Scrooge, metaphorically representing the gloomy atmosphere surrounding him.\")##\n(\"entity\"<|>\"The Gas-pipes\"<|>\"organization\"<|>\"The Gas-pipes are mentioned as undergoing repairs in The Main Street, indicating the infrastructure's role in the community during winter.\")##\n(\"entity\"<|>\"The Labourers\"<|>\"organization\"<|>\"The Labourers refer to the workers repairing the gas-pipes, reflecting the lower working-class experiencing harsh winter conditions.\")##\n(\"entity\"<|>\"The Lord Mayor\"<|>\"person\"<|>\"The Lord Mayor is a civic leader responsible for overseeing Christmas festivities and ensuring proper celebrations in the town.\")##\n(\"entity\"<|>\"The Tailor\"<|>\"person\"<|>\"The Tailor is a character referenced as preparing for Christmas by stirring pudding, illustrating the engagement of tradespeople in holiday traditions.\")##\n(\"entity\"<|>\"The Pudding\"<|>\"event\"<|>\"The Pudding is a traditional dish prepared for Christmas, symbolizing festivity and the warmth of family gatherings.\")##\n(\"entity\"<|>\"St. Dunstan\"<|>\"person\"<|>\"St. Dunstan is a historical figure mentioned metaphorically, associated with a legend of confronting evil, reflecting the theme of good versus evil.\")##\n\n##", + "model": "gpt-4o-mini" + }, + "e8321a26bab0df2d45d23b47ecd1f74c": { + "return": "(\"entity\"<|>\"Portly Gentlemen\"<|>\"person\"<|>\"The Portly Gentlemen are representatives who seek to gather funds for the poor during Christmas, embodying the spirit of generosity that Scrooge rejects.\")##\n(\"entity\"<|>\"Credentials\"<|>\"event\"<|>\"The Credentials refer to the documents presented by the Portly Gentlemen, indicating their legitimacy and purpose in seeking donations from Scrooge.\")##\n(\"entity\"<|>\"Bedlam\"<|>\"geo\"<|>\"Bedlam is referenced as a metaphorical place for madness, illustrating Scrooge's disdain for the cheerful nature of Christmas and his sense of isolation.\")##\n(\"entity\"<|>\"Christmas-time\"<|>\"event\"<|>\"Christmas-time is characterized as a period filled with festivities, joy, and community engagement, which Scrooge regards cynically.\")##\n(\"relationship\"<|>\"Scrooge\"<|>\"Portly Gentlemen\"<|>\"Scrooge dismisses the Portly Gentlemen's request for donations, rejecting their appeal for charity.\"<|>\"charity rejection, conflict\"<|>8)##\n(\"relationship\"<|>\"Portly Gentlemen\"<|>\"Credentials\"<|>\"The Portly Gentlemen present their Credentials to establish their purpose and authority to solicit donations from Scrooge.\"<|>\"authorization, fundraising\"<|>7)##\n(\"relationship\"<|>\"Scrooge\"<|>\"Christmas-time\"<|>\"Scrooge views Christmas-time as a burden rather than a celebration, contrasting with the feelings of others around him.\"<|>\"cynicism, holiday spirit conflict\"<|>9)##\n(\"relationship\"<|>\"Scrooge's Nephew\"<|>\"Bedlam\"<|>\"Scrooge references Bedlam in expressing his frustration with the jovial attitudes of others, indicating his desire to distance himself from them.\"<|>\"isolation, metaphorical reference\"<|>6)##\n(\"content_keywords\"<|>\"generosity, rejection of charity, holiday spirit, generosity\")<|COMPLETE|>", + "model": "gpt-4o-mini" + }, + "18ae0495a82ddbf3ce5051da174a25c5": { + "return": "(\"entity\"<|>\"The Two Apprentices\"<|>\"person\"<|>\"The Two Apprentices are characters from Fezziwig's establishment who express gratitude and admiration for Fezziwig's positive influence during the Domestic Ball.\")##\n(\"entity\"<|>\"The Spirit\"<|>\"concept\"<|>\"The Spirit refers to the supernatural essence of the Ghost of Christmas Past, embodying the idea of reflection and memory.\")##\n(\"entity\"<|>\"Merry Christmas\"<|>\"event\"<|>\"Merry Christmas is a common greeting shared during the Domestic Ball by Fezziwig and Mrs. Fezziwig, representing the spirit of the holiday.\")##\n(\"entity\"<|>\"Wealth\"<|>\"concept\"<|>\"Wealth is referred to as a 'golden idol' that has displaced genuine happiness in Scrooge's life, highlighting themes of materialism versus emotional fulfillment.\")##\n(\"entity\"<|>\"Poverty\"<|>\"concept\"<|>\"Poverty is presented in contrast to wealth, representing struggles and rejections of superficial values in Scrooge's past.\")##\n(\"relationship\"<|>\"Fezziwig\"<|>\"The Two Apprentices\"<|>\"Fezziwig inspires deep gratitude and respect from his apprentices, who appreciate his kindness during their interactions at the ball.\"<|>\"gratitude, mentorship\"<|>8)##\n(\"relationship\"<|>\"Scrooge\"<|>\"The Spirit\"<|>\"Scrooge engages with the Spirit as it reveals memories that prompt significant self-reflection and consideration of change.\"<|>\"self-reflection, transformation\"<|>9)##\n(\"relationship\"<|>\"Scrooge\"<|>\"Wealth\"<|>\"Scrooge confronts the obsession with wealth which has led him away from meaningful connections and happiness.\"<|>\"materialism, character development\"<|>8)##\n(\"relationship\"<|>\"Wealth\"<|>\"Poverty\"<|>\"Wealth is juxtaposed against poverty, emphasizing the harsh realities faced by those consumed by the pursuit of money.\"<|>\"contrast, societal norms\"<|>7)##\n(\"content_keywords\"<|>\"gratitude, introspection, materialism, holiday spirit\")<|COMPLETE|>", + "model": "gpt-4o-mini" + }, + "f1ab5d1e23b02aec6e22e3ebbbdaaea6": { + "return": "(\"entity\"<|>\"The Window\"<|>\"concept\"<|>\"The Window represents a threshold between the visible and invisible worlds, allowing Scrooge a view into the realm of spirits and their lamentations.\")##\n(\"entity\"<|>\"The Bell\"<|>\"technology\"<|>\"The Bell is a church bell that signifies the time passing and marks the moments of Scrooge's encounters with the ghosts.\")##\n(\"entity\"<|>\"The Air\"<|>\"concept\"<|>\"The Air is described as filled with phantoms, representing the haunting nature of Scrooge's past choices and regrets.\")##\n(\"entity\"<|>\"The Phantoms\"<|>\"person\"<|>\"The Phantoms are spirits that wander restlessly, symbolizing lost opportunities and unresolved issues from their past lives.\")##\n(\"entity\"<|>\"The Dark Night\"<|>\"concept\"<|>\"The Dark Night signifies the ominous and mysterious setting during which Scrooge faces his fears and experiences the supernatural.\")##\n(\"entity\"<|>\"Wailings\"<|>\"event\"<|>\"Wailings represent the sorrowful expressions of the phantoms, illustrating the pain and regret of spirits bound by their earthly actions.\")##\n(\"entity\"<|>\"The Chain\"<|>\"concept\"<|>\"The Chain symbolizes the burdens of the past that haunt the spirits, showcasing the consequences of one's actions in life.\")##\n(\"entity\"<|>\"The Door\"<|>\"concept\"<|>\"The Door is described as being double locked, representing Scrooge’s isolation and the barriers he has built around himself in life.\")##\n(\"entity\"<|>\"The Spirits\"<|>\"concept\"<|>\"The Spirits collectively represent the supernatural forces that seek to guide and teach Scrooge about the impact of his life choices.\")##\n(\"entity\"<|>\"The Ghostly Visitations\"<|>\"event\"<|>\"The Ghostly Visitations are the anticipated encounters that Scrooge must endure as part of his journey toward redemption.\")##\n(\"entity\"<|>\"Ebenezer\"<|>\"person\"<|>\"Ebenezer refers to Scrooge's full name, emphasizing his identity and character as a miser who learns valuable life lessons.\")##\n(\"entity\"<|>\"The Penance\"<|>\"concept\"<|>\"The Penance refers to the moral and emotional suffering that Marley's Ghost must endure due to his past actions, prompting Scrooge's journey of redemption.\")##\n(\"entity\"<|>\"The Transparent Window\"<|>\"concept\"<|>\"The Transparent Window symbolizes the blurred line between the known and the supernatural, reflecting Scrooge’s struggle to understand his experiences.\")##\n(\"entity\"<|>\"The Darkness\"<|>\"concept\"<|>\"The Darkness refers to the absence of light, signifying uncertainty and fear in Scrooge's transformation journey.\")##\n(\"content_keywords\"<|>\"ghostly visitations, consequences, moral revelation, isolation\")<|COMPLETE|>", + "model": "gpt-4o-mini" + }, + "c250789d45734212bf94b46504d5afcf": { + "return": "(\"entity\"<|>\"Marley\"<|>\"person\"<|>\"Marley is a deceased character whose ghost appears to Scrooge, representing regret and the consequences of a life led without compassion.\")##\n(\"entity\"<|>\"The Knocker\"<|>\"geo\"<|>\"The Knocker on the door serves as a symbolic gateway to the supernatural events, being the first point of eerie interaction for Scrooge.\")##\n(\"entity\"<|>\"The Bell\"<|>\"geo\"<|>\"The Bell is described as a disused bell that starts to swing and ring during the haunting, signifying the onset of supernatural occurrences.\")##\n(\"entity\"<|>\"The Wine-Merchant's Cellar\"<|>\"geo\"<|>\"The Wine-Merchant's Cellar is a location that holds significance in the story, where sounds of dragging chains are heard, adding to the ghostly ambiance.\")##\n(\"entity\"<|>\"The Grate\"<|>\"geo\"<|>\"The Grate is part of Scrooge's room where a small fire burns, contributing to the bleak and cold atmosphere of his setting.\")##\n(\"entity\"<|>\"The Cask\"<|>\"geo\"<|>\"The Cask is part of the cellar, contributing to the sounds associated with Marley's Ghost and aiding in creating a sense of dread.\")##\n(\"entity\"<|>\"The Dressing-Gown\"<|>\"geo\"<|>\"The Dressing-Gown is worn by Scrooge, illustrating his solitary, night-time routine and emphasizing his isolation.\")##\n(\"entity\"<|>\"The Candle\"<|>\"geo\"<|>\"The Candle represents a source of light in Scrooge's dark life, emphasizing the contrast between warmth and isolation.\")##\n(\"entity\"<|>\"Darkness\"<|>\"concept\"<|>\"Darkness symbolizes the oppressive loneliness and despair in Scrooge's life, as well as the supernatural elements of the story.\")##\n(\"relationship\"<|>\"Scrooge\"<|>\"Marley\"<|>\"Scrooge's encounter with Marley’s Ghost serves as a confrontation with his past self and the life choices he regrets, depicting the theme of redemption.\"<|>\"redemption, confrontation\"<|>9)##\n(\"relationship\"<|>\"Marley\"<|>\"The Knocker\"<|>\"Marley is connected to the Knocker as the ghostly presence that Scrooge anticipates as he approaches his door, setting up the eerie tone of the haunting.\"<|>\"supernatural symbolism, foreshadowing\"<|>7)##\n(\"relationship\"<|>\"Scrooge\"<|>\"The Bell\"<|>\"The Bell's movement and sound foreshadow Marley's Ghost's appearance, enhancing the sense of impending supernatural activity in Scrooge's environment.\"<|>\"foreboding, supernatural\"<|>8)##\n(\"relationship\"<|>\"Marley's Ghost\"<|>\"The Wine-Merchant's Cellar\"<|>\"The sounds coming from The Wine-Merchant's Cellar amplify the haunting experience for Scrooge, linking the ghostly presence to a tangible location.\"<|>\"atmosphere, haunting\"<|>8)##\n(\"relationship\"<|>\"Scrooge\"<|>\"The Grate\"<|>\"The Grate's cold fire adds to the bleak setting of Scrooge's home, illustrating his disconnection from warmth and comfort before the supernatural events unfold.\"<|>\"isolation, setting mood\"<|>6)##\n(\"relationship\"<|>\"Scrooge\"<|>\"The Dressing-Gown\"<|>\"The Dressing-Gown emphasizes Scrooge's character as a solitary, reclusive man, reinforcing his isolation during the haunting.\"<|>\"characterization, solitude\"<|>7)##\n(\"relationship\"<|>\"Darkness\"<|>\"Scrooge\"<|>\"Darkness symbolizes Scrooge's internal feelings of isolation and regret, presenting the overall mood of his journey towards potential redemption.\"<|>\"themes, isolation\"<|>9)##\n(\"relationship\"<|>\"Marley's Ghost\"<|>\"The Candle\"<|>\"The Candle's light contrasts with the darkness of the haunting, representing the flicker of hope amidst Scrooge's despair.\"<|>\"hope, contrast\"<|>7)##\n(\"relationship\"<|>\"Scrooge\"<|>\"The Cask\"<|>\"The Cask is associated with the sounds of chains during the haunting, heightening Scrooge's fear and trepidation about the ghostly visit.\"<|>\"fear, tension\"<|>8)##\n<|COMPLETE|>", + "model": "gpt-4o-mini" + }, + "75c99644e77c82502e8543b94d61350d": { + "return": "(\"entity\"<|>\"Joe\"<|>\"person\"<|>\"Joe is portrayed as a character engaged in a conversation about the deceased, displaying a mix of humor and practicality in dealing with the possessions of the dead.\")##\n(\"entity\"<|>\"The Woman\"<|>\"person\"<|>\"The Woman is a character involved in the dialogue about the deceased's belongings, showing a carefree attitude towards their former owner.\")##\n(\"entity\"<|>\"Scrooge\"<|>\"person\"<|>\"Scrooge is a central character who experiences horror and reflection as he witnesses the events surrounding the deceased and contemplates his own life.\")##\n(\"entity\"<|>\"The Deceased\"<|>\"person\"<|>\"The Deceased is a character discussed among Joe and the Woman, representing themes of avarice and death, although his identity is not revealed.\")##\n(\"entity\"<|>\"Death\"<|>\"concept\"<|>\"Death is described as a powerful force in the narrative, represented through the imagery of a cold, rigid presence and the contemplation of mortality.\")##\n(\"relationship\"<|>\"Joe\"<|>\"The Woman\"<|>\"Joe and The Woman engage in dialogue about the deceased's belongings, showcasing their interactions and differing attitudes towards death.\"<|>\"dialogue, humor, death\"<|>6)##\n(\"relationship\"<|>\"Scrooge\"<|>\"The Deceased\"<|>\"Scrooge reflects on the condition and life of The Deceased, equating his own life with the man's fate, indicating a profound contemplation of mortality.\"<|>\"reflection, mortality\"<|>8)##\n(\"relationship\"<|>\"Scrooge\"<|>\"Death\"<|>\"Scrooge grapples with the idea of Death as he witnesses the aftermath of The Deceased's life, leading to an inner turmoil.\"<|>\"existential crisis, contemplation\"<|>9)##\n(\"content_keywords\"<|>\"mortality, dialogue, reflection, death, avarice\")<|COMPLETE|>", + "model": "gpt-4o-mini" + }, + "933bd23f0f260c19afa06c88bc306289": { + "return": "(\"entity\"<|>\"The Mansion\"<|>\"geo\"<|>\"The Mansion is described as a large house of dull red brick, associated with Scrooge's childhood memories and reflecting the state of neglect.\")##\n(\"entity\"<|>\"The Spirit\"<|>\"organization\"<|>\"The Spirit is the entity that guides Scrooge through memories, prompting reflections on his past during the Christmas season.\")##\n(\"entity\"<|>\"The Solitary Child\"<|>\"person\"<|>\"The Solitary Child is a representation of Scrooge's younger self, neglected and alone in the school during Christmas, evoking emotions of sympathy and regret.\")##\n(\"entity\"<|>\"The Little Girl\"<|>\"person\"<|>\"The Little Girl is mentioned as appearing at the door, representing innocence and the enduring spirit of Christmas that contrasts with Scrooge's past.\")##\n(\"entity\"<|>\"The Stables\"<|>\"geo\"<|>\"The Stables are part of the Mansion's property, depicting the state of the neglected estate and surroundings.\")##\n(\"entity\"<|>\"The Chilly Hall\"<|>\"geo\"<|>\"The Chilly Hall is the entrance area of the Mansion where Scrooge begins to reflect on his past.\")##\n(\"entity\"<|>\"The Empty Storehouse\"<|>\"geo\"<|>\"The Empty Storehouse is mentioned as part of the Mansion, symbolizing decay and forgotten memories.\")##\n(\"content_keywords\"<|>\"remembrance, neglect, childhood neglect, emotional reflection\")<|COMPLETE|>", + "model": "gpt-4o-mini" + }, + "6f98316fbf0ffe67c9577902ce5acb18": { + "return": "(\"entity\"<|>\"The Counting-House\"<|>\"organization\"<|>\"The Counting-House is Scrooge's place of work, characterized by a gloomy demeanor and an atmosphere that reflects Scrooge's character.\")##\n(\"entity\"<|>\"Clerk\"<|>\"person\"<|>\"The Clerk is an unnamed character who serves Scrooge, exhibiting a hopeful disposition despite Scrooge's ill-tempered management.\")##\n(\"entity\"<|>\"Fog\"<|>\"geo\"<|>\"Fog is a weather condition mentioned that enhances the dreary atmosphere surrounding Scrooge's home and workplace.\")##\n(\"entity\"<|>\"Frost\"<|>\"geo\"<|>\"Frost is another atmospheric condition depicted, contributing to the cold and somber feeling of the environment during the story.\")##\n(\"entity\"<|>\"Camden Town\"<|>\"geo\"<|>\"Camden Town is a location where Bob Cratchit runs home to celebrate Christmas Eve, representing a more joyful and lively setting.\")##\n(\"entity\"<|>\"The Ghost of Marley\"<|>\"event\"<|>\"The Ghost of Marley is an event that is anticipated in the narrative, representing Scrooge's confrontation with his past and the supernatural.\")##\n(\"entity\"<|>\"Keyhole\"<|>\"concept\"<|>\"The Keyhole is a metaphorical representation of Scrooge's perspective and the barriers to his understanding of joy and connection.\")##\n(\"entity\"<|>\"The Knocker\"<|>\"concept\"<|>\"The Knocker is a physical object that becomes a symbol of Scrooge's psyche, transforming into Marley's face, representing his guilt and past.\")##\n(\"relationship\"<|>\"The Counting-House\"<|>\"Scrooge\"<|>\"The Counting-House is where Scrooge works, illustrating the environment that shapes his bleak personality.\"<|>\"work environment, character development\"<|>7)##\n(\"relationship\"<|>\"Scrooge\"<|>\"Clerk\"<|>\"The Clerk communicates with Scrooge about his work, highlighting the lack of mutual respect in their employer-employee relationship.\"<|>\"employment relationship, respect\"<|>5)##\n(\"relationship\"<|>\"Bob Cratchit\"<|>\"The Counting-House\"<|>\"Bob Cratchit works at The Counting-House, emphasizing his servitude and the dismal working conditions under Scrooge.\"<|>\"employment, servitude\"<|>6)##\n(\"relationship\"<|>\"Fog\"<|>\"Scrooge\"<|>\"Fog represents the obscured vision of Scrooge's soul and emotions, aligning with his unknowable nature.\"<|>\"atmosphere, emotional reflection\"<|>8)##\n(\"relationship\"<|>\"Frost\"<|>\"Scrooge\"<|>\"Frost enhances the chilling atmosphere around Scrooge's life and mindset, reflecting his cold character.\"<|>\"atmospheric condition, characterization\"<|>8)##\n(\"relationship\"<|>\"Camden Town\"<|>\"Bob Cratchit\"<|>\"Camden Town serves as a location representing warmth and family contrast to Scrooge's loneliness.\"<|>\"contrast, warmth\"<|>6)##\n(\"relationship\"<|>\"The Ghost of Marley\"<|>\"Scrooge\"<|>\"The Ghost of Marley symbolizes Scrooge's past mistakes and serves as a catalyst for his transformation.\"<|>\"supernatural, moral reckoning\"<|>9)##\n(\"relationship\"<|>\"The Knocker\"<|>\"Scrooge\"<|>\"The Knocker, transforming into Marley's face, symbolizes Scrooge's ghostly past and impending redemption challenges.\"<|>\"symbolism, transformation\"<|>9)##\n(\"content_keywords\"<|>\"supernatural influence, work dynamics, familial warmth, transformation\")<|COMPLETE|>", + "model": "gpt-4o-mini" + }, + "09bcfbc45e8dca5a2c7d3008a6d4d077": { + "return": "(\"entity\"<|>\"Scrooge's Nephew\"<|>\"person\"<|>\"Scrooge's Nephew is characterized by his contagious laughter and good humor, contrasting with his uncle's miserliness.\")##\n(\"entity\"<|>\"Scrooge's Niece\"<|>\"person\"<|>\"Scrooge's Niece is depicted as a beautiful and lively character who expresses strong opinions about her uncle Scrooge.\")##\n(\"entity\"<|>\"Scrooge\"<|>\"person\"<|>\"Scrooge is described as a comical old fellow who has a reputation for being miserly and dislikes Christmas.\")##\n(\"entity\"<|>\"Topper\"<|>\"person\"<|>\"Topper is a character who participates in the dinner and seems to have an interest in one of Scrooge's niece's sisters.\")##\n(\"entity\"<|>\"Christmas\"<|>\"event\"<|>\"Christmas is presented as a time for merriment and social gatherings, which Scrooge's nephew advocates for despite his uncle's opposition.\")##\n(\"relationship\"<|>\"Scrooge's Nephew\"<|>\"Scrooge\"<|>\"Scrooge's Nephew contrasts with Scrooge, advocating for merriment and showing pity for his uncle's ill tempers.\"<|>\"family dynamics, contrasting views\"<|>8)##\n(\"relationship\"<|>\"Scrooge's Niece\"<|>\"Scrooge\"<|>\"Scrooge's Niece expresses indignation towards Scrooge's belief that Christmas is a humbug, demonstrating her strong opinions against his views.\"<|>\"ideological conflict, family dynamics\"<|>7)##\n(\"relationship\"<|>\"Scrooge's Nephew\"<|>\"Scrooge's Niece\"<|>\"Scrooge's Nephew and Scrooge's Niece share a humorous dynamic, both laughing and contrasting with Scrooge's grim outlook.\"<|>\"shared humor, family bonding\"<|>8)##\n(\"relationship\"<|>\"Topper\"<|>\"Scrooge's Niece\"<|>\"Topper shows interest in Scrooge's Niece, indicating a budding romantic interest during the family gathering.\"<|>\"romantic interest, social dynamics\"<|>6)##\n(\"content_keywords\"<|>\"family dynamics, humor, Christmas, ideological conflict\")<|COMPLETE|>", + "model": "gpt-4o-mini" + }, + "50af407f80d189a9540c6254bfc56182": { + "return": "(\"entity\"<|>\"The Boy\"<|>\"person\"<|>\"The Boy is a character mentioned briefly, who tries to hide behind another girl, indicating shyness among the festive crowd.\")##\n(\"entity\"<|>\"The Girl\"<|>\"person\"<|>\"The Girl is referenced in relation to The Boy, highlighting the dynamics of the young attendees at the Fezziwig's celebrations.\")##\n(\"entity\"<|>\"The Fiddler\"<|>\"person\"<|>\"The Fiddler is a musician who plays during the festivities, contributing to the atmosphere of joy and celebration.\")##\n(\"entity\"<|>\"Mrs. Fezziwig's Three Misses\"<|>\"person\"<|>\"Mrs. Fezziwig's Three Misses are her daughters, described as beaming and lovable, participating in the Christmas festivities.\")##\n(\"entity\"<|>\"The Young Followers\"<|>\"person\"<|>\"The Young Followers are young men and women employed by Fezziwig, who interact during the dances, showing youthful exuberance.\")##\n(\"entity\"<|>\"The Housemaid\"<|>\"person\"<|>\"The Housemaid is mentioned as part of the domestic staff involved in the celebration, contributing to the jovial atmosphere.\")##\n(\"entity\"<|>\"The Cook\"<|>\"person\"<|>\"The Cook is part of the household and participates in the festive gathering, alongside other staff.\")##\n(\"entity\"<|>\"The Baker\"<|>\"person\"<|>\"The Baker is a cousin to the housemaid, indicating the interconnectedness of the household staff during the festivities.\")##\n(\"entity\"<|>\"Cold Roast\"<|>\"food\"<|>\"Cold Roast is a dish served during the celebration, adding to the festive feast prepared by Fezziwig.\")##\n(\"entity\"<|>\"Cold Boiled\"<|>\"food\"<|>\"Cold Boiled is another dish mentioned, part of the spread during the festivities at Fezziwig's celebration.\")##\n(\"entity\"<|>\"Mince-Pies\"<|>\"food\"<|>\"Mince-Pies are a type of dessert featured at the celebration, contributing to the festive feast.\")##\n(\"entity\"<|>\"Negus\"<|>\"food\"<|>\"Negus is a drink served during the festivities, adding to the array of refreshments available.\")##\n(\"entity\"<|>\"The Warehouse\"<|>\"location\"<|>\"The Warehouse is the setting for Fezziwig's celebrations, transformed into a ballroom for the festivities.\")##\n(\"relationship\"<|>\"The Fiddler\"<|>\"The Dance\"<|>\"The Fiddler provides music for The Dance, enhancing the celebratory atmosphere of the event.\"<|>\"music, celebration\"<|>9)##\n(\"relationship\"<|>\"Fezziwig\"<|>\"The Young Followers\"<|>\"Fezziwig's celebration involves the Young Followers, highlighting the festive and communal aspect of the gathering.\"<|>\"festivity, community\"<|>8)##\n(\"relationship\"<|>\"Mrs. Fezziwig\"<|>\"The Young Followers\"<|>\"Mrs. Fezziwig interacts with the Young Followers during the festivities, showcasing warmth and hospitality.\"<|>\"hospitality, warmth\"<|>7)##\n(\"relationship\"<|>\"The Housemaid\"<|>\"The Bake\"<|>\"The Housemaid and The Baker are connected through their roles in the household during the festive gathering.\"<|>\"staff dynamics, celebration\"<|>6)##\n(\"relationship\"<|>\"The Dance\"<|>\"Cold Roast\"<|>\"Cold Roast is part of the festivities during The Dance, providing nourishment to the guests.\"<|>\"food, celebration\"<|>8)##\n(\"relationship\"<|>\"The Dance\"<|>\"Mince-Pies\"<|>\"Mince-Pies are served during The Dance, adding to the festive spirit of the gathering.\"<|>\"food, celebration\"<|>7)##\n(\"relationship\"<|>\"The Dance\"<|>\"Negus\"<|>\"Negus complements the festivities of The Dance, contributing to the overall celebration.\"<|>\"beverages, festivity\"<|>8)##\n(\"content_keywords\"<|>\"joviality, community, festive atmosphere, traditional foods\")<|COMPLETE|>", + "model": "gpt-4o-mini" + }, + "fe25dacdf5d1e0b2f5fb48141271e005": { + "return": "(\"entity\"<|>\"Fred\"<|>\"person\"<|>\"Fred is Ebenezer Scrooge's lively nephew, who embodies the spirit of Christmas and contrasts with Scrooge's misanthropy by inviting him to family gatherings.\")##\n(\"entity\"<|>\"Mr. Fezziwig\"<|>\"person\"<|>\"Mr. Fezziwig is a kind-hearted old merchant who served as a mentor to Scrooge, representing generosity and the joy of Christmas through his festive parties.\")##\n(\"entity\"<|>\"Mrs. Cratchit\"<|>\"person\"<|>\"Mrs. Cratchit is Bob Cratchit's supportive wife, who strives to provide for her family despite their financial struggles and embodies resilience.\")##\n(\"entity\"<|>\"Belinda Cratchit\"<|>\"person\"<|>\"Belinda is a daughter of Bob and Mrs. Cratchit, representing the Cratchit family's love and unity during difficult times.\")##\n(\"entity\"<|>\"Martha Cratchit\"<|>\"person\"<|>\"Martha is another daughter of Bob and Mrs. Cratchit, who, like her sister Belinda, symbolizes the warmth and togetherness in the Cratchit household.\")##\n(\"entity\"<|>\"Joe\"<|>\"person\"<|>\"Joe is a marine-store dealer depicted as receiving stolen goods, illustrating the consequences of crime and the darker sides of society.\")##\n(\"entity\"<|>\"Ghost of Jacob Marley\"<|>\"event\"<|>\"The Ghost of Jacob Marley is Scrooge's deceased business partner who returns as a spirit to warn Scrooge about the consequences of his life choices and to encourage change.\")##\n(\"entity\"<|>\"Fan\"<|>\"person\"<|>\"Fan is Scrooge's caring sister who represents innocence and love, showcasing a more tender side of Scrooge’s past.\")##\n(\"entity\"<|>\"Mrs. Fezziwig\"<|>\"person\"<|>\"Mrs. Fezziwig is the kind partner of Mr. Fezziwig, contributing to the festive atmosphere of their celebrations, emphasizing the importance of joyous gatherings.\")##\n(\"content_keywords\"<|>\"Christmas spirit, family, generosity, social dynamics\")<|COMPLETE|>", + "model": "gpt-4o-mini" + }, + "455c4a7b963c1fcad74e0724d83d7b3a": { + "return": "(\"entity\"<|>\"Scrooge\"<|>\"person\"<|>\"Scrooge is a central character experiencing a transformative journey as he reflects on death and its impact on others, showcasing his internal struggle and growth.\")##\n(\"entity\"<|>\"Spirit\"<|>\"concept\"<|>\"The Spirit represents a supernatural entity guiding Scrooge through his reflections on life, death, and human emotions, prompting self-awareness.\")##\n(\"entity\"<|>\"Caroline\"<|>\"person\"<|>\"Caroline is a character representing hope and emotional depth, reacting to her husband's news about their financial situation with a mixture of dread and optimism.\")##\n(\"entity\"<|>\"Bob Cratchit\"<|>\"person\"<|>\"Bob Cratchit is depicted as a struggling father, representative of familial love and concern, particularly for his children, including Tiny Tim.\")##\n(\"entity\"<|>\"Tiny Tim\"<|>\"person\"<|>\"Tiny Tim is a symbol of innocence and vulnerability within the Cratchit family, evoking compassion and highlighting the harsh realities of illness and poverty.\")##\n(\"entity\"<|>\"Cratchit Family\"<|>\"organization\"<|>\"The Cratchit family represents a unit bound by love and resilience in the face of adversity, dealing with emotional and financial struggles.\")##\n(\"entity\"<|>\"Death\"<|>\"event\"<|>\"Death refers to the passing of a character that triggers a range of emotions and reflections among the living, influencing their lives and relationships.\")##\n(\"relationship\"<|>\"Scrooge\"<|>\"Spirit\"<|>\"Scrooge learns from the Spirit about the consequences of his actions and the sentiments evoked by death, leading to personal growth.\"<|>\"reflection, guidance\"<|>8)##\n(\"relationship\"<|>\"Caroline\"<|>\"Bob Cratchit\"<|>\"Caroline expresses hope combined with anxiety regarding their financial situation, affecting her relationship with Bob Cratchit.\"<|>\"hope, financial strain\"<|>7)##\n(\"relationship\"<|>\"Bob Cratchit\"<|>\"Tiny Tim\"<|>\"Bob Cratchit's concern for Tiny Tim illustrates the deep familial love and the challenges facing the Cratchit family.\"<|>\"family love, vulnerability\"<|>9)##\n(\"relationship\"<|>\"Cratchit Family\"<|>\"Death\"<|>\"The death event impacts the Cratchit family deeply, influencing their emotional state and perceptions of hope and kindness.\"<|>\"grief, family dynamics\"<|>8)##\n(\"relationship\"<|>\"Scrooge\"<|>\"Cratchit Family\"<|>\"Scrooge's reflections on the Cratchit family's situation symbolize his evolving understanding of compassion and social responsibility.\"<|>\"compassion, social awareness\"<|>7)##\n(\"content_keywords\"<|>\"transformation, family dynamics, death, compassion\")<|COMPLETE|>", + "model": "gpt-4o-mini" + }, + "116ac1ae1f082545ac96dbcd9c9b9366": { + "return": "(\"entity\"<|>\"Scrooge\"<|>\"person\"<|>\"Scrooge is a character who experiences a transformation, feeling joyful and generous as he interacts with others after Christmas.\")##\n(\"entity\"<|>\"Bob\"<|>\"person\"<|>\"Bob is referenced humorously by Scrooge in the context of a joke regarding a large turkey.\")##\n(\"entity\"<|>\"Camden Town\"<|>\"geo\"<|>\"Camden Town is a location mentioned in relation to the logistics of transporting a large turkey.\" )##\n(\"entity\"<|>\"Fred\"<|>\"person\"<|>\"Fred is Scrooge's nephew, mentioned in the context of Scrooge's visit to his house.\")##\n(\"entity\"<|>\"Christmas\"<|>\"event\"<|>\"Christmas is a festive occasion that has led to a joyful transformation in Scrooge's character and actions.\")##\n(\"relationship\"<|>\"Scrooge\"<|>\"Bob\"<|>\"Scrooge makes a humorous comment about sending a large turkey to Bob, indicating a lighthearted relationship.\" <|>\"humor, generosity\"<|>6)##\n(\"relationship\"<|>\"Scrooge\"<|>\"Fred\"<|>\"Scrooge expresses a desire to visit Fred, which signifies a reconciliatory gesture toward his family.\"<|>\"family connection, reconciliation\"<|>8)##\n(\"relationship\"<|>\"Scrooge\"<|>\"Christmas\"<|>\"Scrooge's transformation and newfound joy are directly linked to the spirit of Christmas.\" <|>\"transformation, festive spirit\"<|>9)##\n(\"relationship\"<|>\"Scrooge\"<|>\"Camden Town\"<|>\"Scrooge mentions Camden Town in relation to the impracticality of delivering a large turkey there.\" <|>\"logistics, festive preparation\"<|>5)##\n(\"content_keywords\"<|>\"transformation, joy, Christmas spirit, family connection\")<|COMPLETE|>", + "model": "gpt-4o-mini" + }, + "984442fe3bdd9f4f0ef6e22dbcef8654": { + "return": "(\"entity\"<|>\"Scrooge\"<|>\"person\"<|>\"Scrooge is a character who undergoes a transformation, filled with joy and determination to make amends during Christmas.\")##\n(\"entity\"<|>\"Jacob Marley\"<|>\"person\"<|>\"Jacob Marley is the ghost who represents Scrooge's past and serves as a catalyst for his change.\")##\n(\"entity\"<|>\"Christmas Day\"<|>\"event\"<|>\"Christmas Day is a significant holiday that marks the time of Scrooge's revelation and intent to change.\")##\n(\"entity\"<|>\"Bob Cratchit\"<|>\"person\"<|>\"Bob Cratchit is a character associated with Scrooge, representing the family Scrooge intends to support by sending a turkey.\")##\n(\"entity\"<|>\"Tiny Tim\"<|>\"person\"<|>\"Tiny Tim is a member of the Cratchit family, who represents the innocence and impact of Scrooge's generosity.\")##\n(\"entity\"<|>\"The Poulterer's\"<|>\"organization\"<|>\"The Poulterer's is a shop where Scrooge intends to buy a turkey for the Cratchit family.\")##\n(\"relationship\"<|>\"Scrooge\"<|>\"Jacob Marley\"<|>\"Scrooge's transformation is prompted by the appearance and message of Jacob Marley, his former business partner.\"<|>\"transformation, influence\"<|>8)##\n(\"relationship\"<|>\"Scrooge\"<|>\"Christmas Day\"<|>\"Scrooge's change in attitude and actions occur on Christmas Day, making it a pivotal event in his story.\"<|>\"seasonal significance, renewal\"<|>9)##\n(\"relationship\"<|>\"Scrooge\"<|>\"Bob Cratchit\"<|>\"Scrooge decides to send a turkey to Bob Cratchit, indicating a newfound kindness towards him and his family.\"<|>\"generosity, relationship change\"<|>7)##\n(\"relationship\"<|>\"Bob Cratchit\"<|>\"Tiny Tim\"<|>\"Bob Cratchit is Tiny Tim's father, and the turkey Scrooge plans to send will impact Tiny Tim's well-being.\"<|>\"family, support\"<|>6)##\n(\"relationship\"<|>\"Scrooge\"<|>\"The Poulterer's\"<|>\"Scrooge interacts with The Poulterer's to purchase a turkey as an act of generosity toward Bob Cratchit's family.\"<|>\"generosity, commerce\"<|>8)##\n(\"content_keywords\"<|>\"transformation, generosity, Christmas spirit, family\")<|COMPLETE|>", + "model": "gpt-4o-mini" + }, + "cfc3e5735472a18ba0f2a89f51843d86": { + "return": "(\"entity\"<|>\"Scrooge\"<|>\"person\"<|>\"Scrooge is a central character who is initially depicted as dogged and fearful, but experiences a transformation through his encounters with spirits.\")##\n(\"entity\"<|>\"Ghost of Christmas Present\"<|>\"event\"<|>\"The Ghost of Christmas Present is a spirit that embodies generosity and abundance, leading Scrooge to self-reflection and understanding.\")##\n(\"entity\"<|>\"Turkey\"<|>\"organization\"<|>\"Turkey here represents a food item that symbolizes abundance and festive celebration, present in the spirit's demonstration of cheer.\")##\n(\"entity\"<|>\"Holly\"<|>\"organization\"<|>\"Holly is a plant associated with Christmas, featured prominently in the Spirit's attire, symbolizing joy and celebration during the festive season.\")##\n(\"entity\"<|>\"Ivy\"<|>\"organization\"<|>\"Ivy is another plant associated with the festive decor, symbolizing eternity and fidelity, adding to the spirit of the occasion.\")##\n(\"entity\"<|>\"City\"<|>\"geo\"<|>\"The City represents the urban setting where Scrooge's transformation takes place, symbolizing the broader society impacted by his changes.\")##\n(\"relationship\"<|>\"Scrooge\"<|>\"Ghost of Christmas Present\"<|>\"Scrooge is led by the Ghost of Christmas Present, who teaches him valuable lessons about generosity and compassion.\"<|>\"transformation, mentoring\"<|>10)##\n(\"relationship\"<|>\"Ghost of Christmas Present\"<|>\"Turkey\"<|>\"The Ghost showcases the Turkey as a representation of abundance during the Christmas season, emphasizing the spirit of generosity.\"<|>\"abundance, symbolism\"<|>8)##\n(\"relationship\"<|>\"Ghost of Christmas Present\"<|>\"Holly\"<|>\"Holly is part of the Ghost's attire, reinforcing the themes of joy and celebration during Christmas.\"<|>\"festive spirit, symbolism\"<|>9)##\n(\"relationship\"<|>\"Ghost of Christmas Present\"<|>\"Ivy\"<|>\"Ivy, like Holly, symbolizes continuity and joy, complementing the festive imagery presented by the Ghost.\"<|>\"festive spirit, symbolism\"<|>9)##\n(\"relationship\"<|>\"Scrooge\"<|>\"City\"<|>\"Scrooge's transformation is set against the backdrop of the City, reflecting the societal implications of his personal changes.\"<|>\"societal impact, personal change\"<|>7)##\n(\"content_keywords\"<|>\"transformation, Christmas spirit, generosity, abundance\")<|COMPLETE|>", + "model": "gpt-4o-mini" + }, + "596ac46576474fa7c137975ee2b863b8": { + "return": "(\"entity\"<|>\"Scrooge\"<|>\"person\"<|>\"Scrooge is a character who experiences a transformation during the Christmas holidays and receives lessons from a Spirit regarding humanity and compassion.\")##\n(\"entity\"<|>\"Fred\"<|>\"person\"<|>\"Fred is Scrooge's nephew who expresses admiration for his uncle and proposes a toast in his honor during a Christmas gathering.\")##\n(\"entity\"<|>\"Ghost\"<|>\"organization\"<|>\"The Ghost represents a spiritual guide that takes Scrooge on a journey to learn important lessons about compassion and humanity.\")##\n(\"entity\"<|>\"Christmas\"<|>\"event\"<|>\"Christmas is a significant holiday that serves as the backdrop for Scrooge's transformation and the events that unfold during the narrative.\")##\n(\"entity\"<|>\"Ignorance\"<|>\"concept\"<|>\"Ignorance is personified as a boy shown to Scrooge by the Spirit, representing a societal issue that appeals for attention and change.\")##\n(\"entity\"<|>\"Humanity\"<|>\"concept\"<|>\"Humanity’s relationship with its most vulnerable members is central to the lessons presented to Scrooge through the Spirit's journey.\")##\n(\"relationship\"<|>\"Scrooge\"<|>\"Fred\"<|>\"Scrooge and Fred share a familial bond, with Fred expressing goodwill and celebrating Scrooge despite his uncle's previous behavior.\"<|>\"family connection, goodwill\"<|>8)##\n(\"relationship\"<|>\"Scrooge\"<|>\"Ghost\"<|>\"The Ghost takes Scrooge on a journey to teach him lessons about generosity and compassion towards others.\"<|>\"spiritual guidance, transformation\"<|>9)##\n(\"relationship\"<|>\"Christmas\"<|>\"Scrooge\"<|>\"Christmas serves as the catalyst for Scrooge's transformation, highlighting themes of giving and compassion.\"<|>\"transformation, holiday significance\"<|>10)##\n(\"relationship\"<|>\"Ghost\"<|>\"Ignorance\"<|>\"The Ghost presents Ignorance to Scrooge as a representation of societal neglect and a call for responsibility from humanity.\"<|>\"societal issues, responsibility\"<|>8)##\n(\"relationship\"<|>\"Ghost\"<|>\"Humanity\"<|>\"The Ghost symbolizes humanity's need for introspection and change, urging Scrooge to recognize and act upon social issues.\"<|>\"social consciousness, humanitarian appeal\"<|>9)##\n(\"content_keywords\"<|>\"transformation, compassion, family, societal neglect\")<|COMPLETE|>", + "model": "gpt-4o-mini" + }, + "9480a8c953892d44bd64f1e51589df33": { + "return": "(\"entity\"<|>\"Scrooge\"<|>\"person\"<|>\"Scrooge is a key character who experiences a transformation throughout the narrative, beginning from apathy to a desire for redemption and reflection on his life choices.\")##\n(\"entity\"<|>\"Spirit\"<|>\"organization\"<|>\"The Spirit represents a ghostly entity, guiding Scrooge through visions of potential future events and urging him to acknowledge societal issues.\")##\n(\"entity\"<|>\"Ignorance\"<|>\"concept\"<|>\"Ignorance is personified as a boy that symbolizes the dangers of ignoring social issues and the consequences of a lack of awareness.\")##\n(\"entity\"<|>\"Want\"<|>\"concept\"<|>\"Want is depicted as a girl, representing the consequences of poverty and desire in society, warning against neglecting these issues.\")##\n(\"entity\"<|>\"Ghost of Christmas Yet to Come\"<|>\"event\"<|>\"The Ghost of Christmas Yet to Come is an event within the story that signifies Scrooge's confrontation with the future consequences of his actions.\")##\n(\"entity\"<|>\"City\"<|>\"geo\"<|>\"The City represents the urban setting where Scrooge witnesses the indifference of its inhabitants regarding his death.\")##\n(\"relationship\"<|>\"Scrooge\"<|>\"Spirit\"<|>\"Scrooge engages with the Spirit, who guides him through reflections on his life and warns him of societal issues.\"<|>\"guidance, transformation\"<|>8)##\n(\"relationship\"<|>\"Scrooge\"<|>\"Ignorance\"<|>\"Scrooge is warned about the dangers posed by Ignorance, which embodies significant societal issues he has ignored.\"<|>\"social awareness, warning\"<|>9)##\n(\"relationship\"<|>\"Scrooge\"<|>\"Want\"<|>\"Scrooge is shown the consequences of Want, reflecting on the impacts of desire and neglect in society.\"<|>\"social critique, consequences\"<|>9)##\n(\"relationship\"<|>\"Spirit\"<|>\"Ghost of Christmas Yet to Come\"<|>\"The Spirit is connected to the Ghost of Christmas Yet to Come as both serve to illustrate potential future outcomes for Scrooge.\"<|>\"foreshadowing, guidance\"<|>7)##\n(\"relationship\"<|>\"City\"<|>\"Scrooge\"<|>\"Scrooge experiences the indifference of the City towards his death, illustrating societal apathy.\"<|>\"indifference, societal critique\"<|>8)##\n(\"content_keywords\"<|>\"transformation, social awareness, consequences, indifference\")<|COMPLETE|>", + "model": "gpt-4o-mini" + }, + "fcf8d38c5fa7849c04b307de5329e635": { + "return": "(\"entity\"<|>\"Tiny Tim\"<|>\"person\"<|>\"Tiny Tim is a young child in the Cratchit family, whose health and well-being are of great concern to his family, and he is remembered fondly.\")##\n(\"entity\"<|>\"Bob Cratchit\"<|>\"person\"<|>\"Bob Cratchit is the father of Tiny Tim, characterized by his kindness and emotional depth, especially in relation to his family's struggles.\")##\n(\"entity\"<|>\"Mrs. Cratchit\"<|>\"person\"<|>\"Mrs. Cratchit is Bob's wife, a supportive mother who manages the household while showing concern for her children's well-being.\")##\n(\"entity\"<|>\"Peter\"<|>\"person\"<|>\"Peter is one of the Cratchit children, who occasionally expresses a sense of duty and future aspirations, contributing to family discussions.\")##\n(\"entity\"<|>\"Mr. Scrooge's Nephew\"<|>\"person\"<|>\"Mr. Scrooge's Nephew is a kind gentleman who shows concern for Bob Cratchit and offers support, symbolizing generosity and compassion.\")##\n(\"entity\"<|>\"Christmas\"<|>\"event\"<|>\"Christmas is a festive occasion that brings the Cratchit family together, highlighting themes of love, loss, and remembrance.\")##\n(\"relationship\"<|>\"Bob Cratchit\"<|>\"Tiny Tim\"<|>\"Bob Cratchit deeply cares for Tiny Tim, demonstrating emotional support and love, especially in moments of distress.\"<|>\"family bond, love\"<|>9)##\n(\"relationship\"<|>\"Mrs. Cratchit\"<|>\"Tiny Tim\"<|>\"Mrs. Cratchit shows concern for Tiny Tim's health and well-being, reflecting her role as a nurturing mother.\"<|>\"maternal love, support\"<|>9)##\n(\"relationship\"<|>\"Bob Cratchit\"<|>\"Mr. Scrooge's Nephew\"<|>\"Bob Cratchit shares a positive interaction with Mr. Scrooge's Nephew, who expresses kindness and concern for his family.\"<|>\"kindness, support\"<|>7)##\n(\"relationship\"<|>\"Peter\"<|>\"Bob Cratchit\"<|>\"Peter interacts with Bob Cratchit, showing the dynamics of a supportive family unit while discussing aspirations.\"<|>\"family discussions, support\"<|>6)##\n(\"relationship\"<|>\"Mrs. Cratchit\"<|>\"Bob Cratchit\"<|>\"Mrs. Cratchit supports Bob Cratchit in his parenting efforts and encourages the family’s unity during challenging times.\"<|>\"partnership, family unity\"<|>8)##\n(\"content_keywords\"<|>\"family, love, kindness, remembrance, Christmas\")<|COMPLETE|>", + "model": "gpt-4o-mini" + }, + "703928b09650c3af9aa88f22dde5aa52": { + "return": "(\"entity\"<|>\"Old Joe\"<|>\"person\"<|>\"Old Joe is a grey-haired man, nearly seventy years old, who runs a shop and conducts business in a rather nonchalant manner, showcasing a certain charm amidst his questionable dealings.\")## \n(\"entity\"<|>\"Mrs. Dilber\"<|>\"person\"<|>\"Mrs. Dilber is a laundress who is involved in the discussion about the belongings they are handling, exhibiting a pragmatic attitude towards the situation.\")## \n(\"entity\"<|>\"The Woman\"<|>\"person\"<|>\"The Woman is a character who enters the shop with a heavy bundle and demonstrates a bold and defiant demeanor, eager to take part in the conversation about the deceased's belongings.\")## \n(\"entity\"<|>\"The Shop\"<|>\"organization\"<|>\"The Shop is Old Joe's place of business and serves as the meeting location for the characters, where they evaluate and exchange stolen items.\")## \n(\"entity\"<|>\"The Bundle\"<|>\"event\"<|>\"The Bundle refers to the collection of stolen items that the characters present to Old Joe for appraisal.\")## \n(\"relationship\"<|>\"Old Joe\"<|>\"The Woman\"<|>\"Old Joe interacts with The Woman as she encourages him to evaluate her stolen bundle, indicating a business-like relationship based on appraisal and exchange.\"<|>\"business interaction, appraisal\"<|>7)## \n(\"relationship\"<|>\"Old Joe\"<|>\"Mrs. Dilber\"<|>\"Old Joe assesses the belongings of Mrs. Dilber, reinforcing his role as an appraiser of stolen goods and demonstrating a tendency to be generous towards women.\"<|>\"business interaction, appraisal\"<|>6)## \n(\"relationship\"<|>\"Mrs. Dilber\"<|>\"The Woman\"<|>\"Mrs. Dilber and The Woman share a conversational dynamic that touches on the moral implications of their actions, creating a camaraderie as they discuss the deceased.\"<|>\"moral discussion, camaraderie\"<|>5)## \n(\"relationship\"<|>\"Old Joe\"<|>\"The Shop\"<|>\"Old Joe's activities, including the appraisal of stolen items, solidify the shop's role as a hub for unscrupulous dealings.\"<|>\"business hub, unscrupulous dealings\"<|>8)## \n(\"content_keywords\"<|>\"moral ambiguity, camaraderie, valuation, stolen goods\")<|COMPLETE|>", + "model": "gpt-4o-mini" + }, + "10c3ebd5e67ddaefba0e8292c3ba4c3e": { + "return": "(\"entity\"<|>\"Project Gutenberg\"<|>\"organization\"<|>\"Project Gutenberg is an organization dedicated to the free distribution of electronic works and the preservation of the cultural heritage by providing access to public domain literature.\")##\n(\"entity\"<|>\"The Foundation\"<|>\"organization\"<|>\"The Foundation, referred to as the Project Gutenberg Literary Archive Foundation, owns the compilation copyright of Project Gutenberg's collection.\")##\n(\"entity\"<|>\"United States\"<|>\"geo\"<|>\"The United States is a geographical location with specific copyright laws affecting the distribution of electronic works.\")##\n(\"entity\"<|>\"Project Gutenberg License\"<|>\"event\"<|>\"The Project Gutenberg License is a set of terms that govern the use and distribution of works associated with Project Gutenberg.\")##\n(\"relationship\"<|>\"Project Gutenberg\"<|>\"The Foundation\"<|>\"Project Gutenberg is operated and managed by The Foundation, which governs its copyright and licensing aspects.\"<|>\"organizational governance, copyright management\"<|>9)##\n(\"relationship\"<|>\"Project Gutenberg\"<|>\"United States\"<|>\"Project Gutenberg operates within the legal framework of the United States, influencing its copyright policies and user access.\"<|>\"legal framework, copyright law\"<|>8)##\n(\"relationship\"<|>\"The Foundation\"<|>\"Project Gutenberg License\"<|>\"The Foundation authorizes the terms of the Project Gutenberg License, which regulates the distribution of its works.\"<|>\"licensing, organizational policy\"<|>9)##\n(\"relationship\"<|>\"Project Gutenberg License\"<|>\"United States\"<|>\"The Project Gutenberg License is compliant with the copyright laws of the United States, affecting how works can be shared.\"<|>\"legal compliance, distribution terms\"<|>8)##\n(\"content_keywords\"<|>\"free distribution, copyright, licensing, public domain\")<|COMPLETE|>", + "model": "gpt-4o-mini" + }, + "218340b48cdbb62185bf8a16e4b92aeb": { + "return": "(\"entity\"<|>\"Scrooge\"<|>\"person\"<|>\"Scrooge is depicted as a stingy and unfeeling man, who is criticized during a Christmas feast and is viewed negatively by his family.\")##\n(\"entity\"<|>\"Bob Cratchit\"<|>\"person\"<|>\"Bob Cratchit is a character who appears to be the voice of moderation and kindness, attempting to maintain positivity during the family Christmas feast despite Scrooge's presence.\")##\n(\"entity\"<|>\"Mrs. Cratchit\"<|>\"person\"<|>\"Mrs. Cratchit expresses strong disdain for Scrooge, highlighting her feelings towards him during the Christmas festivities.\")##\n(\"entity\"<|>\"Tiny Tim\"<|>\"person\"<|>\"Tiny Tim is depicted as a vulnerable child who participates in the Christmas toast but seems indifferent to it, symbolizing the family's struggles.\")##\n(\"entity\"<|>\"Christmas Day\"<|>\"event\"<|>\"Christmas Day serves as the central event around which the family gathers and reflects on their feelings towards Scrooge.\")##\n(\"entity\"<|>\"Cratchit Family\"<|>\"organization\"<|>\"The Cratchit Family is portrayed as a close-knit group who, despite their hardships, find joy and gratitude during the Christmas gathering.\")##\n(\"entity\"<|>\"The Spirit\"<|>\"organization\"<|>\"The Spirit represents the essence of Christmas cheer and generosity, influencing the atmosphere and morale during the feast.\")##\n(\"relationship\"<|>\"Bob Cratchit\"<|>\"Scrooge\"<|>\"Bob Cratchit tries to maintain a positive atmosphere during the Christmas feast despite the negative association with Scrooge.\"<|>\"family dynamics, acknowledgment\"<|>6)##\n(\"relationship\"<|>\"Mrs. Cratchit\"<|>\"Scrooge\"<|>\"Mrs. Cratchit openly criticizes Scrooge during the Christmas dinner, expressing her feelings towards him and emphasizing the family's resentment.\"<|>\"criticism, emotional conflict\"<|>8)##\n(\"relationship\"<|>\"Tiny Tim\"<|>\"Cratchit Family\"<|>\"Tiny Tim, as part of the Cratchit Family, represents the innocence and vulnerability of the family, affecting their dynamics during Christmas.\"<|>\"family ties, innocence\"<|>7)##\n(\"relationship\"<|>\"Cratchit Family\"<|>\"Christmas Day\"<|>\"The Cratchit Family gathers to celebrate Christmas Day, reflecting their togetherness and joy despite their hardships.\"<|>\"celebration, tradition\"<|>9)##\n(\"relationship\"<|>\"The Spirit\"<|>\"Christmas Day\"<|>\"The Spirit embodies the joy and generosity of Christmas Day, enhancing the celebratory atmosphere for the Cratchit Family.\"<|>\"festivity, cheer\"<|>10)##\n(\"content_keywords\"<|>\"Christmas, family dynamics, generosity, celebration\")<|COMPLETE|>", + "model": "gpt-4o-mini" + }, + "0d3cba455a41514103ad7f64e7073f3a": { + "return": "(\"entity\"<|>\"Scrooge's Nephew's Friends\"<|>\"organization\"<|>\"Scrooge's Nephew's Friends are a group of individuals gathered around the dinner table, characterized by their shared laughter and merriment in contrast to Scrooge.\")##\n(\"entity\"<|>\"Scrooge's Niece's Sisters\"<|>\"organization\"<|>\"Scrooge's Niece's Sisters are part of the family gathering, contributing to the lively atmosphere and expressing opinions about Scrooge.\")##\n(\"entity\"<|>\"The Dinner\"<|>\"event\"<|>\"The Dinner is a social event characterized by laughter, music, and discussions about Scrooge, portraying a festive Christmas gathering.\")##\n(\"entity\"<|>\"The Fire\"<|>\"concept\"<|>\"The Fire represents warmth and comfort during the family gathering, enhancing the atmosphere of camaraderie.\")##\n(\"entity\"<|>\"The Bottle\"<|>\"concept\"<|>\"The Bottle symbolizes celebration and the shared merriment among the characters during their Christmas gathering.\")##\n(\"entity\"<|>\"Music\"<|>\"event\"<|>\"Music is an activity enjoyed by the family, contributing to the festive environment of their gathering.\")##\n(\"entity\"<|>\"Laughter\"<|>\"concept\"<|>\"Laughter symbolizes joy and the contagious nature of good humor among the characters, especially in the context of Christmas.\")##\n(\"content_keywords\"<|>\"joy, celebration, family gathering, contrast, festive atmosphere\")<|COMPLETE|>", + "model": "gpt-4o-mini" + }, + "21c6a49f73df0dd3242f406476537037": { + "return": "(\"entity\"<|>\"Scrooge\"<|>\"person\"<|>\"Scrooge is a central character who undergoes emotional changes and reflects on his past during a Christmas gathering.\")##\n(\"entity\"<|>\"Scrooge's niece\"<|>\"person\"<|>\"Scrooge's niece is depicted as a joyful participant in the evening's festivities, engaging in games and music.\")##\n(\"entity\"<|>\"Topper\"<|>\"person\"<|>\"Topper is a character known for his lively and mischievous behavior during the games at the festive gathering.\")##\n(\"entity\"<|>\"The Ghost of Christmas Present\"<|>\"event\"<|>\"The Ghost of Christmas Present is a spirit that guides Scrooge through his memories and the joy of the present Christmas celebration.\")##\n(\"entity\"<|>\"Blind Man's-Buff\"<|>\"event\"<|>\"Blind Man's-Buff is a game played during the gathering, showcasing the playful and carefree nature of the participants.\")##\n(\"entity\"<|>\"Forfeits\"<|>\"event\"<|>\"Forfeits is another game played that allows participants to engage in fun activities, emphasizing the spirit of the gathering.\")##\n(\"relationship\"<|>\"Scrooge\"<|>\"Scrooge's niece\"<|>\"Scrooge's niece embraces the joyful atmosphere of the celebration, engaging with family and inviting good-natured fun.\"<|>\"family bonds, celebration\"<|>8)##\n(\"relationship\"<|>\"Scrooge\"<|>\"Topper\"<|>\"Scrooge observes Topper's antics and expressions of joy during the games, revealing a reflection on human nature and merriment.\"<|>\"observation, merriment\"<|>6)##\n(\"relationship\"<|>\"Scrooge\"<|>\"The Ghost of Christmas Present\"<|>\"The Ghost of Christmas Present observes Scrooge's transformation and emotional engagement with his memories of Christmas.\"<|>\"transformation, guidance\"<|>9)##\n(\"relationship\"<|>\"Topper\"<|>\"Blind Man's-Buff\"<|>\"Topper participates in the game of Blind Man's-Buff, contributing to the laughter and enjoyment of the gathering.\"<|>\"participation, joy\"<|>7)##\n(\"relationship\"<|>\"Scrooge's niece\"<|>\"Forfeits\"<|>\"Scrooge's niece actively engages in the game of Forfeits, highlighting her enjoyment and spirited nature during the Christmas celebration.\"<|>\"active participation, enjoyment\"<|>8)##\n(\"content_keywords\"<|>\"Christmas celebration, family interaction, joy, transformation\")<|COMPLETE|>", + "model": "gpt-4o-mini" + }, + "0f6fd6369fa3a1fc4eaaa76ac7cdd24d": { + "return": "(\"entity\"<|>\"The Bed\"<|>\"geo\"<|>\"The Bed represents a central object in the scene, symbolizing the final resting place of The Deceased and contributing to the themes of mortality and neglect.\")##\n(\"entity\"<|>\"The Blankets\"<|>\"geo\"<|>\"The Blankets are discussed in the context of the deceased's possessions, highlighting themes of care and abandonment after death.\")##\n(\"entity\"<|>\"The Dark Room\"<|>\"geo\"<|>\"The Dark Room serves as the setting for the scene, enhancing the atmosphere of dread and the theme of impending death.\")##\n(\"entity\"<|>\"The Flannel Bag\"<|>\"geo\"<|>\"The Flannel Bag contains money and symbolizes the materialistic aspects of life and the relationships surrounding The Deceased’s possessions.\")##\n(\"entity\"<|>\"The Spirit\"<|>\"concept\"<|>\"The Spirit represents the supernatural presence urging Scrooge to reflect deeply on the consequences of his life choices, particularly in relation to Death.\")##\n(\"entity\"<|>\"Avarice\"<|>\"concept\"<|>\"Avarice is a theme personified in Scrooge's contemplation of The Deceased, symbolizing greed and its ultimate consequences in death.\")##\n(\"relationship\"<|>\"Joe\"<|>\"The Deceased\"<|>\"Joe discusses the belongings and implications of The Deceased's life, indicating a financial and material relationship with the dead.\"<|>\"materialism, death\"<|>5)##\n(\"relationship\"<|>\"The Woman\"<|>\"The Deceased\"<|>\"The Woman's carefree attitude while discussing The Deceased reflects a stark contrast to how their life was valued in death.\"<|>\"indifference, mortality\"<|>7)##\n(\"relationship\"<|>\"Scrooge\"<|>\"The Blankets\"<|>\"Scrooge contemplates the significance of The Blankets, linking them to the neglected state of The Deceased in death.\"<|>\"neglect, reflection\"<|>8)##\n(\"relationship\"<|>\"Scrooge\"<|>\"The Bed\"<|>\"Scrooge observes The Bed where The Deceased lies, prompting profound thoughts on mortality and regret.\"<|>\"contemplation, mortality\"<|>9)##\n(\"relationship\"<|>\"The Spirit\"<|>\"Scrooge\"<|>\"The Spirit challenges Scrooge's perspective on life, urging him to consider the implications of his actions in light of death.\"<|>\"supernatural guidance, self-reflection\"<|>10)##\n(\"content_keywords\"<|>\"mortality, reflection, avarice, supernatural, neglect\")<|COMPLETE|>", + "model": "gpt-4o-mini" + }, + "5f787a11337980d80fd28d5e22074583": { + "return": "(\"entity\"<|>\"Cratchit Family\"<|>\"organization\"<|>\"The Cratchit Family is portrayed as a loving unit celebrating Christmas together, with various members actively participating in the festivities.\")##\n(\"entity\"<|>\"Bob Cratchit\"<|>\"person\"<|>\"Bob Cratchit is the father of the Cratchit family, characterized by his warmth and dedication to his family, particularly in caring for Tiny Tim.\")##\n(\"entity\"<|>\"Tiny Tim\"<|>\"person\"<|>\"Tiny Tim is a young boy in the Cratchit family, characterized by his spirit and resilience despite being a cripple, symbolizing hope and kindness during Christmas.\")##\n(\"entity\"<|>\"Martha Cratchit\"<|>\"person\"<|>\"Martha Cratchit is a daughter in the Cratchit family who contributes to the household and shows affection for her family, particularly her father Bob.\")##\n(\"entity\"<|>\"Christmas Day\"<|>\"event\"<|>\"Christmas Day is celebrated by the Cratchit family with a communal meal and expressions of joy and togetherness, highlighting the importance of family and gratitude.\")##\n(\"relationship\"<|>\"Bob Cratchit\"<|>\"Tiny Tim\"<|>\"Bob Cratchit shows deep care for Tiny Tim, helping him and expressing pride in his strength and character despite challenges.\"<|>\"father-son bond, care\"<|>9)##\n(\"relationship\"<|>\"Tiny Tim\"<|>\"Cratchit Family\"<|>\"Tiny Tim's presence in the Cratchit family adds to their joy and highlights the family's spirit of togetherness during Christmas.\"<|>\"family bond, celebration\"<|>8)##\n(\"relationship\"<|>\"Martha Cratchit\"<|>\"Bob Cratchit\"<|>\"Martha shows affection for Bob Cratchit upon her arrival, indicating a warm father-daughter relationship within the family.\"<|>\"family bond, affection\"<|>7)##\n(\"relationship\"<|>\"Cratchit Family\"<|>\"Christmas Day\"<|>\"The Cratchit Family's celebration on Christmas Day emphasizes their unity and joy in sharing the holiday together.\"<|>\"celebration, unity\"<|>10)##\n(\"content_keywords\"<|>\"family, Christmas, celebration, togetherness\")<|COMPLETE|>", + "model": "gpt-4o-mini" + }, + "dc71d9f6de748681ea5f44140f2e5530": { + "return": "(\"entity\"<|>\"The Cratchit Family\"<|>\"organization\"<|>\"The Cratchit Family consists of Bob, Mrs. Cratchit, and their children, highlighting themes of familial love and support amidst hardship.\")##\n(\"entity\"<|>\"The Two Young Cratchits\"<|>\"person\"<|>\"The Two Young Cratchits are the younger children in the Cratchit family, who express affection towards their father, Bob.\")##\n(\"entity\"<|>\"Christmas Dinner\"<|>\"event\"<|>\"Christmas Dinner is an important family gathering that symbolizes togetherness and joy despite hardships.\")##\n(\"entity\"<|>\"Sunday\"<|>\"event\"<|>\"Sunday is presented as a day of walking to a green place, signifying hope and connection to nature in the Cratchit family's lives.\")##\n(\"entity\"<|>\"The Street\"<|>\"geo\"<|>\"The Street is where Mr. Scrooge's Nephew encounters Bob Cratchit, facilitating a significant moment of kindness in the narrative.\")##\n(\"entity\"<|>\"The Work on the Table\"<|>\"concept\"<|>\"The Work on the Table represents the industriousness and efforts of the Cratchit family to provide and bond together.\")##\n(\"content_keywords\"<|>\"family struggles, kindness, support, hope, togetherness\")<|COMPLETE|>", + "model": "gpt-4o-mini" + }, + "f36cccb2f6122a29414c9ed057806f4e": { + "return": "(\"entity\"<|>\"Scrooge\"<|>\"person\"<|>\"Scrooge is a character who expresses concern about social issues related to dining opportunities on Christmas Day.\")##\n(\"entity\"<|>\"Bob Cratchit\"<|>\"person\"<|>\"Bob Cratchit is Scrooge's clerk, depicted as a humble family man with limited income but a warm home atmosphere.\")##\n(\"entity\"<|>\"Mrs. Cratchit\"<|>\"person\"<|>\"Mrs. Cratchit is Bob's wife, portrayed as making an effort to prepare a festive atmosphere despite their financial struggles.\")##\n(\"entity\"<|>\"Belinda Cratchit\"<|>\"person\"<|>\"Belinda Cratchit is one of Bob Cratchit's daughters, assisting her mother in laying the dining cloth.\")##\n(\"entity\"<|>\"Peter Cratchit\"<|>\"person\"<|>\"Peter Cratchit is Bob's son, excited about dressing up and participating in the festive meal preparation.\")##\n(\"entity\"<|>\"The Ghost of Christmas Present\"<|>\"event\"<|>\"The Ghost of Christmas Present is a supernatural being that shows Scrooge the true spirit of Christmas, including kindness towards the poor.\")##\n(\"entity\"<|>\"Christmas Day\"<|>\"event\"<|>\"Christmas Day is a holiday during which the characters express joy and the significance of communal dining.\")##\n(\"entity\"<|>\"Baker's Shops\"<|>\"geo\"<|>\"Baker's Shops are locations where people bring their dinners, showcasing the community's festive preparation.\")##\n(\"relationship\"<|>\"Scrooge\"<|>\"Bob Cratchit\"<|>\"Scrooge is Bob Cratchit's employer, and he reflects on the challenges Bob faces regarding family and food on Christmas Day.\".\"<|>\"employment, social reflection\"<|>6)##\n(\"relationship\"<|>\"Bob Cratchit\"<|>\"Mrs. Cratchit\"<|>\"Bob and Mrs. Cratchit represent a family working together to create a festive and warm environment despite their limited means.\"<|>\"family unity, celebration\"<|>8)##\n(\"relationship\"<|>\"Peter Cratchit\"<|>\"Mrs. Cratchit\"<|>\"Peter Cratchit assists his mother, reflecting the family dynamic and contribution of children during festive preparations.\"<|>\"family participation, dynamic\"<|>7)##\n(\"relationship\"<|>\"The Ghost of Christmas Present\"<|>\"Scrooge\"<|>\"The Ghost of Christmas Present shows Scrooge the joy and importance of kindness during Christmas, impacting his perspective on social issues.\"<|>\"supernatural guidance, social impact\"<|>9)##\n(\"relationship\"<|>\"Christmas Day\"<|>\"Baker's Shops\"<|>\"Christmas Day is a significant time when the community comes together, evident in the activities around Baker's Shops.\"<|>\"community gathering, festivity\"<|>8)##\n(\"content_keywords\"<|>\"social issues, family celebration, Christmas spirit, kindness\")<|COMPLETE|>", + "model": "gpt-4o-mini" + }, + "7dc7f73e19232313a8e0e47e4aa8ebc5": { + "return": "(\"entity\"<|>\"Scrooge\"<|>\"person\"<|>\"Scrooge is a central character who experiences transformative encounters with a Spirit that leads him through different scenes depicting joy and hardship during Christmas.\")##\n(\"entity\"<|>\"The Spirit\"<|>\"person\"<|>\"The Spirit is a ghostly figure guiding Scrooge on a journey to witness the moments of cheer and resilience among people during Christmas, influencing his perspective.\")##\n(\"entity\"<|>\"The Lamplighter\"<|>\"person\"<|>\"The Lamplighter is a character who fills the street with light, representing the warmth and joy of the holiday season.\")##\n(\"entity\"<|>\"The Miners\"<|>\"organization\"<|>\"The Miners refer to a group of laborers living in a bleak landscape, embodying the struggles and resilience of working-class life.\")##\n(\"entity\"<|>\"The Old Man\"<|>\"person\"<|>\"The Old Man is portrayed as a figure of light and joy among his family, singing a Christmas song that connects generations.\")##\n(\"entity\"<|>\"The Lighthouse\"<|>\"geo\"<|>\"The Lighthouse is a solitary structure standing on a reef, symbolizing hope and guidance amidst the tumultuous sea.\")##\n(\"entity\"<|>\"The Ship\"<|>\"geo\"<|>\"The Ship is described as a vessel on the open sea, where the crew reflects on Christmas, showcasing camaraderie and a sense of belonging.\")##\n(\"entity\"<|>\"Christmas\"<|>\"event\"<|>\"Christmas is portrayed as a time of joy, reflection, and connection, emphasizing the positive impact of the holiday spirit on individuals and communities.\")##\n(\"relationship\"<|>\"Scrooge\"<|>\"The Spirit\"<|>\"Scrooge is guided by the Spirit, who shows him different scenes related to the joy and struggles of Christmas, aiming to change his heart.\"<|>\"guidance, transformation\"<|>9)##\n(\"relationship\"<|>\"The Old Man\"<|>\"The Miners\"<|>\"The Old Man's singing brings together the miners and their families, creating a moment of collective joy during Christmas.\"<|>\"community, celebration\"<|>8)##\n(\"relationship\"<|>\"The Lamplighter\"<|>\"Christmas\"<|>\"The Lamplighter's actions of spreading light symbolize the joy and warmth associated with Christmas.\"<|>\"symbolism, holiday spirit\"<|>7)##\n(\"relationship\"<|>\"The Lighthouse\"<|>\"The Ship\"<|>\"The Lighthouse serves as a guiding light for the Ship, representing hope and safety on a tumultuous sea.\"<|>\"guidance, hope\"<|>8)##\n(\"relationship\"<|>\"Scrooge\"<|>\"Christmas\"<|>\"Scrooge's journey with the Spirit ultimately leads him to reflect on the meaning of Christmas and its impact on human connections.\"<|>\"reflection, redemption\"<|>10)##\n(\"content_keywords\"<|>\"redemption, joy, resilience, holiday spirit\")<|COMPLETE|>", + "model": "gpt-4o-mini" + }, + "e3393b2470d607ce5b8f6e798ef29820": { + "return": "(\"entity\"<|>\"The Turkey\"<|>\"event\"<|>\"The Turkey is a large bird that Scrooge has humorously commented on sending to Bob, symbolizing generosity and Christmas spirit.\")##\n(\"entity\"<|>\"The Knocker\"<|>\"event\"<|>\"The Knocker is an ornate door knocker that Scrooge admires, reflecting his newfound appreciation for simple joys.\")##\n(\"entity\"<|>\"The Boy\"<|>\"person\"<|>\"The Boy is a young messenger who interacts with Scrooge during his purchase of the turkey.\")##\n(\"entity\"<|>\"The Girl\"<|>\"person\"<|>\"The Girl is a young servant who assists Scrooge at Fred's house.\")##\n(\"entity\"<|>\"The Church\"<|>\"organization\"<|>\"The Church is a place Scrooge visits, indicating his desire to engage in the Christmas spirit and community.\")##\n(\"entity\"<|>\"The People\"<|>\"organization\"<|>\"The People represent the various individuals Scrooge encounters during his joyful walk, symbolizing community and shared happiness.\")##\n(\"relationship\"<|>\"Scrooge\"<|>\"The Turkey\"<|>\"Scrooge expresses joy and excitement about the turkey he plans to send, highlighting his generous transformation.\"<|>\"generosity, celebration\"<|>7)##\n(\"relationship\"<|>\"Scrooge\"<|>\"The Knocker\"<|>\"Scrooge admires the knocker at his door, marking a positive change in his attitude towards life and surroundings.\"<|>\"appreciation, transformation\"<|>6)##\n(\"relationship\"<|>\"Scrooge\"<|>\"The Boy\"<|>\"Scrooge interacts with The Boy to deliver the turkey, showing a newfound generosity and connection to others.\"<|>\"generosity, kindness\"<|>8)##\n(\"relationship\"<|>\"Scrooge\"<|>\"The Girl\"<|>\"Scrooge's pleasant interaction with The Girl at Fred's house shows his desire for family connection and warmth.\"<|>\"family ties, kindness\"<|>8)##\n(\"relationship\"<|>\"Scrooge\"<|>\"The Church\"<|>\"Scrooge's visit to The Church reflects his desire to embrace the spirit of Christmas and community engagement.\"<|>\"community, spirituality\"<|>9)##\n(\"relationship\"<|>\"Scrooge\"<|>\"The People\"<|>\"Scrooge greets The People he encounters with joy and a newfound delight, signaling his welcome transformation.\"<|>\"community, joy\"<|>8)##\n<|COMPLETE|>", + "model": "gpt-4o-mini" + }, + "7b6a06103c40899ec90c34bda42b3f73": { + "return": "(\"entity\"<|>\"Project Gutenberg\"<|>\"organization\"<|>\"Project Gutenberg is a digital library providing free access to a wide range of eBooks, primarily in the United States and other regions, under specific licensing terms.\")##\n(\"entity\"<|>\"Project Gutenberg License\"<|>\"event\"<|>\"The Project Gutenberg License governs the use, copying, and distribution of the works contained within the Project Gutenberg digital library.\")##\n(\"entity\"<|>\"Project Gutenberg Literary Archive Foundation\"<|>\"organization\"<|>\"The Project Gutenberg Literary Archive Foundation manages the Project Gutenberg trademark and oversees rights and licensing for the organization.\")##\n(\"relationship\"<|>\"Project Gutenberg\"<|>\"Project Gutenberg License\"<|>\"The Project Gutenberg License is associated with the usage and distribution of works from Project Gutenberg, establishing the terms under which they may be accessed and utilized.\"<|>\"licensing, access regulations\"<|>9)##\n(\"relationship\"<|>\"Project Gutenberg\"<|>\"Project Gutenberg Literary Archive Foundation\"<|>\"The Project Gutenberg Literary Archive Foundation is responsible for managing the trademark of Project Gutenberg and ensuring compliance with its licensing terms.\"<|>\"management, oversight\"<|>8)##\n(\"content_keywords\"<|>\"digital library, free access, copyright compliance, licensing terms\")<|COMPLETE|>", + "model": "gpt-4o-mini" + }, + "805f7e8c7afaf4c559b64b7f038605f1": { + "return": "(\"entity\"<|>\"The Dark Chamber\"<|>\"concept\"<|>\"The Dark Chamber represents a metaphorical space associated with death, despair, and the consequences of one's actions, highlighted during Scrooge's reflections.\")##\n(\"entity\"<|>\"The Room by Daylight\"<|>\"concept\"<|>\"The Room by Daylight symbolizes hope and normalcy amidst adversity, contrasting with the earlier dark and fearful atmosphere.\")##\n(\"entity\"<|>\"The Mother\"<|>\"person\"<|>\"The Mother exemplifies apprehension and hope regarding her husband's return, depicting the emotional burden of waiting and uncertainty.\")##\n(\"entity\"<|>\"Peter\"<|>\"person\"<|>\"Peter is a member of the Cratchit family, characterized by his quiet demeanor while being engaged in reading, representing the next generation's concern.\")##\n(\"entity\"<|>\"Ferocious Cat\"<|>\"concept\"<|>\"The Ferocious Cat represents untamed instincts and survival in a harsh environment, providing a sense of discomfort and disturbance in Scrooge's reflections.\")##\n(\"entity\"<|>\"Fearful Place\"<|>\"concept\"<|>\"The Fearful Place embodies Scrooge's dread of confronting his past mistakes and the implications of death, showcasing his internal struggles.\")##\n(\"entity\"<|>\"The Long-Expected Knock\"<|>\"event\"<|>\"The Long-Expected Knock signifies a pivotal moment of anticipation related to the return of the mother’s husband, laden with emotional significance.\")##\n(\"entity\"<|>\"The Candle-Light\"<|>\"concept\"<|>\"The Candle-Light represents fragility and vulnerability, affecting the perception of Tiny Tim and reflecting the family's struggles with health and poverty.\")##\n(\"entity\"<|>\"Debt\"<|>\"concept\"<|>\"Debt signifies a financial burden underpinning the Cratchit family's tension and expectations regarding their future after a death event.\")##\n(\"entity\"<|>\"Merciless Creditor\"<|>\"concept\"<|>\"The Merciless Creditor symbolizes the harsh realities of financial struggles faced by the Cratchit family, representing the societal pressures they endure.\")##\n(\"entity\"<|>\"Emotion\"<|>\"concept\"<|>\"Emotion encompasses the various feelings experienced by the characters in response to death, hope, and familial bonds, underscoring the human condition.\")##\n(\"entity\"<|>\"Kind Word\"<|>\"concept\"<|>\"A Kind Word illustrates the theme of empathy and how small gestures can significantly impact one's emotional state, as recalled by Scrooge.\")##\n(\"entity\"<|>\"Clasped Hands\"<|>\"concept\"<|>\"Clasped Hands symbolize prayer or hope, reflecting the mother's reaction and the emotional weight carried by her and the Cratchit family.\")##\n(\"content_keywords\"<|>\"futility, emotion, hope, family sacrifice\")<|COMPLETE|>", + "model": "gpt-4o-mini" + }, + "15cd51f4dc0fb941a5dbfd8ce2db3faa": { + "return": "(\"entity\"<|>\"The Charwoman\"<|>\"person\"<|>\"The Charwoman is a character who enters the shop first, contributing to the conversation about their collective situation concerning the deceased.\")## \n(\"entity\"<|>\"The Undertaker's Man\"<|>\"person\"<|>\"The Undertaker's Man is a character who appears after The Charwoman, joining the group in discussing their encounters and the deceased's possessions.\")## \n(\"entity\"<|>\"The Clothes and Items\"<|>\"event\"<|>\"The Clothes and Items refer to the various possessions being appraised, representing the themes of loss and exploitation.\")## \n(\"entity\"<|>\"The Dead Man\"<|>\"person\"<|>\"The Dead Man is mentioned as the previous owner of the items being appraised, embodying the consequences of greed and isolation.\")## \n(\"relationship\"<|>\"The Charwoman\"<|>\"The Undertaker's Man\"<|>\"The Charwoman and The Undertaker's Man interact directly while sharing their experiences, indicating a familiarity and common ground in their circumstances.\"<|>\"shared experiences, camaraderie\"<|>6)## \n(\"relationship\"<|>\"Old Joe\"<|>\"The Dead Man\"<|>\"Old Joe's valuation of the stolen items highlights the worthlessness attributed to The Dead Man's belongings posthumously.\"<|>\"valuation, moral judgment\"<|>7)## \n(\"relationship\"<|>\"The Woman\"<|>\"The Charwoman\"<|>\"The Woman and The Charwoman engage in conversation that underscores their desire to disregard moral implications and focus on personal gain.\"<|>\"self-interest, moral disregard\"<|>5)## \n(\"relationship\"<|>\"Mrs. Dilber\"<|>\"The Dead Man\"<|>\"Mrs. Dilber's remarks imply judgment regarding The Dead Man's life choices and the neglect he faced in death.\"<|>\"judgment, reflection\"<|>6)## \n(\"content_keywords\"<|>\"exploitation, death, appraisal, moral judgments\")<|COMPLETE|>", + "model": "gpt-4o-mini" + }, + "12c820b3b26f89138846abc45f15f4cf": { + "return": "(\"entity\"<|>\"The Spirits\"<|>\"concept\"<|>\"The Spirits represent the past, present, and future in Scrooge's life, guiding him toward redemption and self-reflection.\")##\n(\"entity\"<|>\"The Ghost of Jacob Marley\"<|>\"event\"<|>\"The Ghost of Jacob Marley is the supernatural being that visits Scrooge to warn him and set the stage for his transformation.\")##\n(\"entity\"<|>\"The Ghost of Christmas Present\"<|>\"event\"<|>\"The Ghost of Christmas Present signifies abundance and the spirit of joy that Scrooge is encouraged to embrace.\")##\n(\"entity\"<|>\"The Ghost of Christmas Future\"<|>\"event\"<|>\"The Ghost of Christmas Future represents the potential consequences of Scrooge's actions and choices.\")##\n(\"entity\"<|>\"Sunday Clothes Boy\"<|>\"person\"<|>\"The boy in Sunday clothes serves as a character who interacts with Scrooge, demonstrating innocence and curiosity.\")##\n(\"entity\"<|>\"The Sitting Room\"<|>\"location\"<|>\"The Sitting Room is a significant space in Scrooge's home where he experiences emotional revelations and transformations.\")##\n(\"relationship\"<|>\"Scrooge\"<|>\"The Spirits\"<|>\"The Spirits embody the lessons Scrooge must learn to change his life and embrace kindness.\"<|>\"redemption, guidance\"<|>9)##\n(\"relationship\"<|>\"Scrooge\"<|>\"The Ghost of Jacob Marley\"<|>\"Scrooge's encounter with the Ghost of Jacob Marley initiates his journey of self-reflection and realization.\"<|>\"transformation, warning\"<|>10)##\n(\"relationship\"<|>\"Scrooge\"<|>\"The Ghost of Christmas Present\"<|>\"The Ghost of Christmas Present exposes Scrooge to the joy and generosity he has been missing.\"<|>\"awareness, joy\"<|>8)##\n(\"relationship\"<|>\"Scrooge\"<|>\"The Ghost of Christmas Future\"<|>\"The Ghost of Christmas Future reveals the dire consequences of Scrooge's current behavior, prompting a desire for change.\"<|>\"consequences, transformation\"<|>8)##\n(\"relationship\"<|>\"Scrooge\"<|>\"Sunday Clothes Boy\"<|>\"Scrooge's interaction with the Sunday Clothes Boy highlights his evolving attitude towards generosity and kindness.\"<|>\"kindness, generosity\"<|>7)##\n(\"relationship\"<|>\"Scrooge\"<|>\"The Sitting Room\"<|>\"The Sitting Room is where Scrooge reflects on his past and contemplates his future, crucial to his transformation.\"<|>\"reflection, transformation\"<|>8)##\n(\"content_keywords\"<|>\"redemption, lessons, transformation, reflection\")<|COMPLETE|>", + "model": "gpt-4o-mini" + }, + "a320cf7e0627f1687d10e7f235ec7bf4": { + "return": "(\"entity\"<|>\"Jacob Marley\"<|>\"person\"<|>\"Jacob Marley is Scrooge's deceased business partner, who appears as a ghost to warn Scrooge of his impending fate and the need for change.\")##\n(\"entity\"<|>\"The Ghost\"<|>\"organization\"<|>\"The Ghost represents various spectral entities that visit Scrooge to facilitate his transformation by highlighting the consequences of his actions.\")##\n(\"entity\"<|>\"Christmas\"<|>\"event\"<|>\"Christmas serves as a thematic backdrop for the story, symbolizing redemption, generosity, and the spirit of giving.\")##\n(\"entity\"<|>\"The Future\"<|>\"concept\"<|>\"The Future represents the potential outcomes of Scrooge’s life choices, depicted through the visions shown by the Spirits.\")##\n(\"entity\"<|>\"The Businessmen\"<|>\"organization\"<|>\"The Businessmen are a group of individuals in the City who display a lack of concern about Scrooge's death, reflecting societal apathy toward individual loss.\")##\n(\"entity\"<|>\"Death\"<|>\"event\"<|>\"Death in the story is a significant event that triggers discussion among the Businessmen and prompts Scrooge's reflections.\")##\n(\"relationship\"<|>\"Scrooge\"<|>\"Jacob Marley\"<|>\"Scrooge interacts with Jacob Marley, who serves as a critical warning for Scrooge to change his ways before it's too late.\"<|>\"warning, transformation\"<|>10)##\n(\"relationship\"<|>\"The Ghost\"<|>\"Christmas\"<|>\"The Ghosts represent the essence of Christmas, highlighting the themes of generosity and change during this festive time.\"<|>\"spiritual guide, thematic connection\"<|>8)##\n(\"relationship\"<|>\"Jacob Marley\"<|>\"The Future\"<|>\"Jacob Marley's warning about the consequences of ignorance reflects on the potential dark Future that awaits Scrooge.\"<|>\"foreshadowing, caution\"<|>9)##\n(\"relationship\"<|>\"Scrooge\"<|>\"The Businessmen\"<|>\"Scrooge’s death is discussed among the Businessmen, who show a lack of concern, exemplifying the indifference of society.\"<|>\"societal apathy, lack of empathy\"<|>8)##\n(\"relationship\"<|>\"The Future\"<|>\"Death\"<|>\"The concept of The Future is intricately linked to discussions about Death, pondering the consequences of life's choices.\"<|>\"consequences of choices, reflection\"<|>7)##\n(\"content_keywords\"<|>\"redemption, apathy, warnings, societal critique\")<|COMPLETE|>", + "model": "gpt-4o-mini" + }, + "d266f37a6283d07b56094f9791118f2e": { + "return": "(\"entity\"<|>\"Master Peter Cratchit\"<|>\"person\"<|>\"Master Peter Cratchit is one of the young sons in the Cratchit family, actively contributes to the family's Christmas preparations with energy and enthusiasm.\")##\n(\"entity\"<|>\"Belinda Cratchit\"<|>\"person\"<|>\"Belinda Cratchit is another daughter in the Cratchit family, depicted as participating in the festive meal by sweetening the apple sauce, showcasing her involvement in family traditions.\")##\n(\"entity\"<|>\"The Goose\"<|>\"event\"<|>\"The Goose is a central part of the Cratchit family Christmas dinner, which they celebrate with excitement and anticipation, symbolizing abundance and joy.\")##\n(\"entity\"<|>\"Mrs. Cratchit\"<|>\"person\"<|>\"Mrs. Cratchit is the mother in the family who prepares the meal and shows warmth and attentiveness towards her family members during their Christmas celebration.\")##\n(\"relationship\"<|>\"Master Peter Cratchit\"<|>\"Cratchit Family\"<|>\"Master Peter Cratchit is a part of the Cratchit family and contributes to their joyful Christmas celebration with enthusiasm.\"<|>\"family participation, joy\"<|>8)##\n(\"relationship\"<|>\"Belinda Cratchit\"<|>\"Cratchit Family\"<|>\"Belinda Cratchit's role in sweetening the apple sauce shows her active involvement in family traditions during Christmas.\"<|>\"family participation, tradition\"<|>8)##\n(\"relationship\"<|>\"Mrs. Cratchit\"<|>\"Cratchit Family\"<|>\"Mrs. Cratchit plays a significant role in nurturing the family atmosphere during Christmas by preparing and caring for everyone.\"<|>\"nurturing, familial care\"<|>9)##\n(\"relationship\"<|>\"The Goose\"<|>\"Cratchit Family\"<|>\"The Goose represents the festive meal that the Cratchit family cherishes during their Christmas gathering, enhancing their celebration.\"<|>\"symbol of abundance, celebration\"<|>10)##\n(\"content_keywords\"<|>\"family roles, Christmas dinner, festive traditions, joy\")<|COMPLETE|>", + "model": "gpt-4o-mini" + }, + "4153111ded591e4cc8dfcafce17f9c44": { + "return": "(\"entity\"<|>\"Scrooge\"<|>\"person\"<|>\"Scrooge is a character who engages with a spiritual entity and witnesses the transformation of his surroundings during Christmas.\")##\n(\"entity\"<|>\"Christmas\"<|>\"event\"<|>\"Christmas is depicted as a time of joy and communal spirit, marked by people's activities and interactions in the streets.\")##\n(\"entity\"<|>\"Great Britain\"<|>\"geo\"<|>\"Great Britain is referenced as a location suffering from severe weather, which contrasts with the cheerful activities of its people during Christmas.\")##\n(\"entity\"<|>\"The Grocers\"<|>\"organization\"<|>\"The Grocers are a social hub where customers eagerly purchase goods, contributing to the festive atmosphere of the day.\")##\n(\"relationship\"<|>\"Scrooge\"<|>\"Christmas\"<|>\"Scrooge's experience during the Christmas event highlights the transformation of his character and the spirit of the holiday.\"<|>\"transformation, holiday spirit\"<|>8)##\n(\"relationship\"<|>\"Christmas\"<|>\"Great Britain\"<|>\"The celebration of Christmas brings a cheerful atmosphere to Great Britain despite the gloomy weather conditions.\"<|>\"celebration, societal mood\"<|>7)##\n(\"relationship\"<|>\"The Grocers\"<|>\"Christmas\"<|>\"The Grocers contribute to the festive Christmas atmosphere by providing goods and serving eager customers.\"<|>\"community engagement, festive spirit\"<|>9)##\n(\"content_keywords\"<|>\"Christmas, transformation, festive spirit, community\")<|COMPLETE|>", + "model": "gpt-4o-mini" + }, + "0ead7f4b5608c9f8f6389a53fbf84467": { + "return": "(\"entity\"<|>\"Tiny Tim\"<|>\"person\"<|>\"Tiny Tim is a young boy in the Cratchit family, who is portrayed as frail yet joyous and embodies the spirit of Christmas.\")##\n(\"entity\"<|>\"Bob Cratchit\"<|>\"person\"<|>\"Bob Cratchit is the father of Tiny Tim and the head of the Cratchit family, who expresses joy and gratitude during Christmas dinner.\")##\n(\"entity\"<|>\"Mrs. Cratchit\"<|>\"person\"<|>\"Mrs. Cratchit is Bob's wife who prepares the Christmas pudding, showcasing her pride and care in family traditions.\")##\n(\"entity\"<|>\"Cratchit Family\"<|>\"organization\"<|>\"The Cratchit Family is a close-knit family characterized by love and togetherness, celebrating Christmas with simple but joyful traditions.\")##\n(\"entity\"<|>\"Christmas Pudding\"<|>\"event\"<|>\"The Christmas Pudding is a significant dish prepared by Mrs. Cratchit, symbolizing the family's festive celebration and unity.\")##\n(\"entity\"<|>\"Scrooge\"<|>\"person\"<|>\"Scrooge is a central character who undergoes a transformation after reflecting on his past and attitude towards the Cratchit family, particularly Tiny Tim.\")##\n(\"relationship\"<|>\"Bob Cratchit\"<|>\"Tiny Tim\"<|>\"Bob Cratchit expresses love and concern for his son Tiny Tim during the Christmas dinner, highlighting a strong familial bond.\"<|>\"family bond, care\"<|>9)##\n(\"relationship\"<|>\"Mrs. Cratchit\"<|>\"Christmas Pudding\"<|>\"Mrs. Cratchit takes pride in serving the Christmas Pudding, marking it as a highlight of the family's festive gathering.\"<|>\"family tradition, celebration\"<|>8)##\n(\"relationship\"<|>\"Cratchit Family\"<|>\"Christmas Pudding\"<|>\"The Cratchit Family gathers around to enjoy the Christmas Pudding, demonstrating their togetherness and festive spirit.\"<|>\"family unity, celebration\"<|>10)##\n(\"relationship\"<|>\"Scrooge\"<|>\"Tiny Tim\"<|>\"Scrooge reflects on Tiny Tim and expresses concern for his wellbeing, indicating a pivotal change in his character and attitudes towards the less fortunate.\"<|>\"personal transformation, empathy\"<|>8)##\n(\"relationship\"<|>\"Bob Cratchit\"<|>\"Scrooge\"<|>\"Bob praises Scrooge as 'The Founder of the Feast', showing appreciation despite Scrooge’s previous miserliness.\"<|>\"gratitude, redemption\"<|>7)##\n(\"content_keywords\"<|>\"family unity, Christmas spirit, personal transformation, compassion\")<|COMPLETE|>", + "model": "gpt-4o-mini" + }, + "6c24aa07a7cb508ee61487a63b4627d8": { + "return": "(\"entity\"<|>\"The Spirit\"<|>\"person\"<|>\"The Spirit refers to the Ghost of Christmas Present, a supernatural figure that guides Scrooge through lessons about generosity and community.\")##\n(\"entity\"<|>\"Wicker Baskets\"<|>\"geo\"<|>\"Wicker Baskets are mentioned as items that characters use to carry their purchases, symbolizing the festive preparations of the community.\")##\n(\"entity\"<|>\"Dinners\"<|>\"event\"<|>\"Dinners represent the communal and familial gatherings that occur during Christmas, emphasized in the text as significant for enjoyment and sharing.\")##\n(\"entity\"<|>\"Christmas Goose\"<|>\"food\"<|>\"The Christmas Goose is a traditional dish that symbolizes festive feasting and joy during the holiday.\")##\n(\"entity\"<|>\"Four-Roomed House\"<|>\"geo\"<|>\"Bob Cratchit's four-roomed house serves as a setting that reflects the modest means yet warm atmosphere of the Cratchit family.\")##\n(\"entity\"<|>\"The Baker's Doorway\"<|>\"geo\"<|>\"The Baker's Doorway is a place where the Spirit and Scrooge observe dinner carriers, indicating the communal effort in preparing for Christmas.\")##\n(\"entity\"<|>\"Angry Words\"<|>\"event\"<|>\"Angry Words refer to conflicts that arise between dinner carriers, showcasing human interactions and the spirit of camaraderie needed during the holiday.\")##\n(\"entity\"<|>\"Bakers\"<|>\"organization\"<|>\"Bakers are individuals contributing to the community's ability to celebrate by providing food for Christmas.\")##\n(\"entity\"<|>\"Sage and Onion\"<|>\"food\"<|>\"Sage and Onion are ingredients associated with the traditional preparation of Christmas Goose, evoking the culinary aspects of the holiday.\")##\n(\"content_keywords\"<|>\"community, festivities, generosity, family dynamics\")<|COMPLETE|>", + "model": "gpt-4o-mini" + }, + "f77d8d11b2e499cc9287be7a5000801b": { + "return": "(\"entity\"<|>\"Scrooge\"<|>\"person\"<|>\"Scrooge is a central character who experiences transformation and reflection on his past decisions and relationships.\")##\n(\"entity\"<|>\"The Ghost\"<|>\"event\"<|>\"The 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+ "model": "gpt-4o-mini" + }, + "d47101395ee9b0b7d3415f5eca4cb88b": { + "return": "(\"entity\"<|>\"Scrooge's nephew\"<|>\"person\"<|>\"Scrooge's nephew is a character present at the gathering who actively participates in the games and engages with his family.\")##\n(\"entity\"<|>\"The plump sister\"<|>\"person\"<|>\"The plump sister is a character involved in the games, specifically blind man's-buff, and captures Topper's attention during the festivities.\")##\n(\"entity\"<|>\"Ghost\"<|>\"event\"<|>\"The Ghost refers to the spirit guiding Scrooge, embodying the themes of memory and reflection on the joys of Christmas.\")##\n(\"entity\"<|>\"London\"<|>\"geo\"<|>\"London serves as the setting where the events take place, adding a cultural backdrop to the Christmas gathering.\")##\n(\"entity\"<|>\"Games\"<|>\"event\"<|>\"The Games represent various activities played during the gathering, reinforcing themes of merriment and family unity.\")##\n(\"relationship\"<|>\"Scrooge's 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influence on Scrooge's life and perspective, representing his past connections.\")##\n(\"entity\"<|>\"Turkeys\"<|>\"organization\"<|>\"Turkeys are described as part of a lavish spread that symbolizes the abundance and joy of the Christmas season.\")##\n(\"entity\"<|>\"Geese\"<|>\"organization\"<|>\"Geese are included in the festive feast, representing the bounty and celebration associated with Christmas.\")##\n(\"entity\"<|>\"Game\"<|>\"organization\"<|>\"Game refers to meat served during the Christmas season, signifying abundance and celebration.\")##\n(\"entity\"<|>\"Brawn\"<|>\"organization\"<|>\"Brawn is a type of meat included in the festive gathering, representing the richness of the Christmas feast.\")##\n(\"entity\"<|>\"Sucking-pigs\"<|>\"organization\"<|>\"Sucking-pigs represent a traditional dish during Christmas, showcasing the festive abundance.\")##\n(\"entity\"<|>\"Sausages\"<|>\"organization\"<|>\"Sausages contribute to the rich variety of foods present at the 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to The Spirit, both influencing Scrooge's journey of enlightenment and redemption.\"<|>\"supernatural influence, guidance\"<|>8)##\n(\"content_keywords\"<|>\"family dynamics, Christmas celebration, children's joy, supernatural guidance\")<|COMPLETE|>", + "model": "gpt-4o-mini" + }, + "e6e2db88f809aa18ddd99f5536d1412d": { + "return": "(\"entity\"<|>\"Christmas\"<|>\"event\"<|>\"Christmas is a festive time celebrated by the Cratchit family, symbolizing joy, family togetherness, and generosity.\")##\n(\"entity\"<|>\"Ghost\"<|>\"person\"<|>\"The Ghost is a supernatural entity that provides guidance and reflection on Scrooge's past, representing moral and societal themes.\")##\n(\"entity\"<|>\"Cratchit Dinner\"<|>\"event\"<|>\"The Cratchit Dinner is a gathering of the Cratchit family for their Christmas feast, embodying tradition and familial love.\")##\n(\"entity\"<|>\"Sage and Onion\"<|>\"technology\"<|>\"Sage and Onion is an ingredient used in the Cratchit family's Christmas dinner, 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experiences.\")##\n(\"entity\"<|>\"Poultry\"<|>\"geo\"<|>\"Poultry refers to various birds used for Christmas meals, representing the culinary traditions of the holiday.\")##\n(\"entity\"<|>\"Chestnuts\"<|>\"geo\"<|>\"Chestnuts are a festive food mentioned among the goods sold during Christmas, adding to the holiday's sensory experience.\")##\n(\"entity\"<|>\"Spanish Onions\"<|>\"geo\"<|>\"Spanish Onions are a vegetable featured in the festive markets, enhancing the richness of Christmas cooking.\")##\n(\"entity\"<|>\"Apples\"<|>\"geo\"<|>\"Apples are a seasonal fruit displayed prominently during Christmas markets, symbolizing traditional holiday fare.\")##\n(\"entity\"<|>\"Pears\"<|>\"geo\"<|>\"Pears are another fruit contributing to the vibrant offerings in markets during the Christmas season.\")##\n(\"entity\"<|>\"Grapes\"<|>\"geo\"<|>\"Grapes are included in the festive market displays, representing holiday indulgence.\")##\n(\"entity\"<|>\"Filberts\"<|>\"geo\"<|>\"Filberts are nuts that evoke nostalgia and contribute to the traditional foods associated with Christmas.\")##\n(\"entity\"<|>\"Norfolk Biffins\"<|>\"geo\"<|>\"Norfolk Biffins are a type of apple referenced in the context of Christmas fruit offerings.\")##\n(\"entity\"<|>\"Figs\"<|>\"geo\"<|>\"Figs are sweet fruits that are particularly mentioned as part of the festive market offerings during Christmas.\")##\n(\"entity\"<|>\"French Plums\"<|>\"geo\"<|>\"French Plums are fruits showcased in the Christmas markets, adding to the eclectic array of festive produce.\")##\n\n## \n(\"relationship\"<|>\"Christmas\"<|>\"Holly\"<|>\"Holly contributes to the festive decorations associated with the Christmas celebration.\"<|>\"festive decorations, holiday spirit\"<|>8)##\n(\"relationship\"<|>\"Christmas\"<|>\"Mistletoe\"<|>\"Mistletoe is a traditional decoration that enhances the joy and atmosphere of Christmas.\"<|>\"festive symbols, joy\"<|>7)##\n(\"relationship\"<|>\"Christmas\"<|>\"Turkeys\"<|>\"Turkeys are a traditional dish served during Christmas, contributing to the celebratory meal.\"<|>\"culinary tradition, celebration\"<|>9)##\n(\"relationship\"<|>\"Christmas\"<|>\"Geese\"<|>\"Geese are commonly served at Christmas dinners, forming part of the holiday feast.\"<|>\"culinary tradition, celebration\"<|>9)##\n(\"relationship\"<|>\"The Grocers\"<|>\"Holly\"<|>\"The Grocers sell Holly and other festive items, enhancing the Christmas shopping experience.\"<|>\"market offerings, festive supplies\"<|>8)##\n(\"relationship\"<|>\"The Grocers\"<|>\"Mistletoe\"<|>\"The Grocers provide Mistletoe among their offerings, reflecting the holiday spirit.\"<|>\"market offerings, holiday spirit\"<|>8)##\n(\"relationship\"<|>\"The Grocers\"<|>\"Turkeys\"<|>\"The Grocers supply Turkeys for Christmas dinners, contributing to the festive meal preparations.\"<|>\"holiday meals, supply chain\"<|>9)##\n(\"relationship\"<|>\"The Grocers\"<|>\"Geese\"<|>\"The Grocers help provide Geese for the Christmas feast, supporting culinary traditions.\"<|>\"holiday meals, supply chain\"<|>9)##\n(\"relationship\"<|>\"Christmas\"<|>\"Apples\"<|>\"Apples are featured in markets during Christmas, indicating traditional holiday fare.\"<|>\"seasonal offerings, tradition\"<|>6)##\n(\"relationship\"<|>\"Christmas\"<|>\"Pears\"<|>\"Pears are part of the fruits offered during the Christmas season, enhancing festive markets.\"<|>\"seasonal offerings, tradition\"<|>6)##\n(\"relationship\"<|>\"The Grocers\"<|>\"Apples\"<|>\"The Grocers offer Apples as part of their Christmas produce, reflecting seasonal traditions.\"<|>\"market offerings, seasonal tradition\"<|>7)##\n(\"relationship\"<|>\"The Grocers\"<|>\"Pears\"<|>\"The Grocers supply Pears during Christmas, contributing to the holiday's culinary delights.\"<|>\"market offerings, festive spirit\"<|>7)##\n(\"relationship\"<|>\"Christmas\"<|>\"Chestnuts\"<|>\"Chestnuts are sold during Christmas, contributing to the sensory experience of the holiday.\"<|>\"festive foods, sensory experiences\"<|>8)##\n(\"relationship\"<|>\"The Grocers\"<|>\"Chestnuts\"<|>\"The Grocers feature Chestnuts in their market offerings during Christmas, enhancing the festive atmosphere.\"<|>\"market offerings, festive spirit\"<|>8)##\n(\"relationship\"<|>\"Christmas\"<|>\"Spanish Onions\"<|>\"Spanish Onions are part of the seasonal offerings that contribute to the culinary landscape of Christmas.\"<|>\"culinary tradition, seasonal offerings\"<|>7)##\n(\"relationship\"<|>\"The Grocers\"<|>\"Spanish Onions\"<|>\"The Grocers provide Spanish Onions, enriching the food selections during Christmas.\"<|>\"market offerings, food supply\"<|>7)##\n(\"relationship\"<|>\"Christmas\"<|>\"Figs\"<|>\"Figs are highlighted among the festive foods offered during Christmas, enhancing markets.\"<|>\"seasonal offerings, festive foods\"<|>6)##\n(\"relationship\"<|>\"The Grocers\"<|>\"Figs\"<|>\"The Grocers feature Figs in the Christmas markets, capturing the essence of holiday indulgence.\"<|>\"market offerings, seasonal treats\"<|>7)##\n(\"relationship\"<|>\"Christmas\"<|>\"French Plums\"<|>\"French Plums are included in the festive offerings, creating a rich holiday atmosphere.\"<|>\"seasonal offerings, festive foods\"<|>6)##\n(\"relationship\"<|>\"The Grocers\"<|>\"French Plums\"<|>\"The Grocers sell French Plums during Christmas, showcasing holiday produce.\"<|>\"market offerings, culinary delights\"<|>7)##\n(\"content_keywords\"<|>\"Christmas, festive decorations, culinary traditions, seasonal offerings\")<|COMPLETE|>", + "model": "gpt-4o-mini" + }, + "cb2a450472979815fb1376af3c2d6d61": { + "return": "(\"entity\"<|>\"Gentleman with Excrescence\"<|>\"person\"<|>\"The Gentleman with Excrescence is characterized by a distinctive physical feature and expresses opinions about a funeral with a humorous outlook.\")##\n(\"entity\"<|>\"Large Chin Man\"<|>\"person\"<|>\"The Large Chin Man is a character who displays disinterest and engages in conversation about the deceased, revealing a lack of genuine concern.\")##\n(\"entity\"<|>\"Cold Weather\"<|>\"event\"<|>\"Cold Weather is noted in the conversation between the businessmen, serving as a backdrop to their trivial interactions.\")##\n(\"entity\"<|>\"The Party\"<|>\"event\"<|>\"The Party refers to the potential gathering for the funeral, which the characters consider with amusement rather than sincerity.\")##\n(\"entity\"<|>\"Rich Men\"<|>\"organization\"<|>\"Rich Men are depicted as individuals of considerable wealth and status, reflecting the social hierarchy and indifference towards the less fortunate.\")##\n(\"entity\"<|>\"Street\"<|>\"geo\"<|>\"The Street refers to the location where Scrooge observes the businessmen, symbolizing the busy yet impersonal urban environment.\")##\n(\"entity\"<|>\"Multitudes\"<|>\"concept\"<|>\"Multitudes refer to the crowd in the city, illustrating the anonymity and disconnect among people in urban life.\")##\n(\"entity\"<|>\"Shadow of Himself\"<|>\"concept\"<|>\"Shadow of Himself represents Scrooge's introspection and anticipation of his future actions based on his reflections.\")##\n(\"entity\"<|>\"Bad Repute\"<|>\"concept\"<|>\"Bad Repute refers to the negative perception attached to certain areas of the town, underscoring themes of moral decay and neglect.\")##\n(\"entity\"<|>\"Frouzy Curtaining\"<|>\"concept\"<|>\"Frouzy Curtaining signifies the poor living conditions and the sense of disarray found in the low-browed shop and its surroundings.\")##\n(\"entity\"<|>\"Rusty Keys, Nails, Chains, Hinges\"<|>\"concept\"<|>\"Rusty Keys, Nails, Chains, Hinges are symbolic items representing the remnants of past lives and the detritus of a forgotten society.\")##\n\n## \n(\"relationship\"<|>\"Gentleman with Excrescence\"<|>\"Large Chin Man\"<|>\"The Gentleman with Excrescence and the Large Chin Man engage in light-hearted banter about the deceased, showcasing their superficial camaraderie.\"<|>\"humor, social interaction\"<|>5)##\n(\"relationship\"<|>\"Gentleman with Excrescence\"<|>\"The Party\"<|>\"The Gentleman with Excrescence seeks a lunch provision for attending the party, indicating a lack of genuine interest in the funeral itself.\"<|>\"indifference, social obligation\"<|>6)##\n(\"relationship\"<|>\"Large Chin Man\"<|>\"Businessmen\"<|>\"The Large Chin Man interacts with the businessmen, demonstrating a shared triviality in their concerns and reinforcing social hierarchies.\"<|>\"social dynamics, triviality\"<|>5)##\n(\"relationship\"<|>\"Scrooge\"<|>\"Street\"<|>\"Scrooge observes the Street's inhabitants and their interactions, reflecting on his own status and societal detachment.\"<|>\"observation, societal critique\"<|>7)##\n(\"relationship\"<|>\"Scrooge\"<|>\"Multitudes\"<|>\"Scrooge's feelings of alienation are heightened as he witnesses the Multitudes, illustrating his inner turmoil and societal disconnect.\"<|>\"alienation, introspection\"<|>8)##\n(\"relationship\"<|>\"Scrooge\"<|>\"Shadow of Himself\"<|>\"Scrooge hopes to learn from the Shadow of Himself, signifying his desire for personal growth and understanding of his life choices.\"<|>\"introspection, personal growth\"<|>9)##\n(\"relationship\"<|>\"Scrooge\"<|>\"Bad Repute\"<|>\"Scrooge's experience in areas of Bad Repute forces him to confront the realities of society and his own role within it.\"<|>\"self-reflection, moral awakening\"<|>9)##\n(\"relationship\"<|>\"The Low-Browed Shop\"<|>\"Frouzy Curtaining\"<|>\"The Frouzy Curtaining serves as a descriptor of the Low-Browed Shop, symbolizing neglect and the harsh realities of the environment.\"<|>\"symbolism, decay\"<|>6)##\n(\"relationship\"<|>\"The Low-Browed Shop\"<|>\"Rusty Keys, Nails, Chains, Hinges\"<|>\"The Rusty Keys, Nails, Chains, and Hinges within the Low-Browed Shop highlight the decay and abandonment of valued items, metaphorically reflecting societal neglect.\"<|>\"symbolism, societal neglect\"<|>7)##\n<|COMPLETE|>", + "model": "gpt-4o-mini" + }, + "5b16ce1999bd217b54628b839f8038fe": { + "return": "(\"entity\"<|>\"Peter Cratchit\"<|>\"person\"<|>\"Peter Cratchit is a member of the Cratchit family who participates in expressing their unity and happiness.\")##\n(\"entity\"<|>\"Two Young Cratchits\"<|>\"person\"<|>\"The Two Young Cratchits symbolize the innocence and joy of childhood within the Cratchit family.\")##\n(\"entity\"<|>\"The Spirit\"<|>\"organization\"<|>\"The Spirit refers to an embodiment of the Christmas message that represents moral guidance and introspection in Scrooge's life.\")##\n(\"entity\"<|>\"The Grave\"<|>\"geo\"<|>\"The Grave symbolizes the ultimate consequence of Scrooge's actions and the life he leads, representing mortality.\")##\n(\"entity\"<|>\"Jacob Marley\"<|>\"person\"<|>\"Jacob Marley is a deceased character who symbolizes the consequences of a life led without compassion, influencing Scrooge's redemption.\")##\n(\"entity\"<|>\"The Past\"<|>\"geo\"<|>\"The Past is a concept that reflects Scrooge's memories and previous actions that influence his current state and future decisions.\")##\n(\"entity\"<|>\"The Present\"<|>\"geo\"<|>\"The Present represents the current moment in Scrooge's life that he must recognize and change to achieve redemption.\")##\n(\"relationship\"<|>\"Bob\"<|>\"Peter Cratchit\"<|>\"Bob expresses feelings of happiness to Peter, showcasing the close family ties and the importance of togetherness.\"<|>\"family ties, happiness\"<|>8)##\n(\"relationship\"<|>\"The Spirit\"<|>\"Scrooge\"<|>\"The Spirit represents moral lessons and urges Scrooge to change his ways for a better future.\"<|>\"moral guidance, transformation\"<|>10)##\n(\"relationship\"<|>\"Scrooge\"<|>\"Jacob Marley\"<|>\"Scrooge reflects on Jacob Marley’s past warnings, which serve as a catalyst for his transformation.\"<|>\"past influence, warning\"<|>9)##\n(\"relationship\"<|>\"Scrooge\"<|>\"The Grave\"<|>\"Scrooge’s need to confront his own grave signifies the urgency to change his life before it is too late.\"<|>\"mortality, urgency\"<|>8)##\n(\"relationship\"<|>\"Scrooge\"<|>\"The Past\"<|>\"Scrooge must acknowledge The Past to understand his current situation and guide his choices for the future.\"<|>\"self-reflection, choices\"<|>9)##\n(\"relationship\"<|>\"Scrooge\"<|>\"The Present\"<|>\"Scrooge emphasizes the importance of living fully in The Present to change his fate going forward.\"<|>\"change, awareness\"<|>9)##\n(\"content_keywords\"<|>\"family unity, moral lessons, introspection, life choices\")<|COMPLETE|>", + "model": "gpt-4o-mini" + }, + "e66d39e87f590a51bd35dd2f7d69e462": { + "return": "Scrooge is a central character known for his miserly disposition, cold-hearted nature, and disdain for Christmas. He initially embodies greed, focusing solely on business and exhibiting a lack of compassion for others. Throughout the story, Scrooge undergoes a profound transformation as he reflects on his life and the impact of his past decisions, particularly through the visits of spirits, including the ghost of his former partner, Jacob Marley.\n\nScrooge is depicted as a solitary figure who experiences a journey of self-discovery and redemption. He grapples with feelings of horror and remorse as he witnesses events related to the deceased and contemplates his own mortality, illustrating his internal struggle. His reflections often lead him to recall his lonely childhood and the mistakes that have shaped his pessimistic worldview.\n\nThe encounters with the spirits guide Scrooge through different scenes, revealing both joy and hardship during the Christmas season. These transformative experiences prompt him to reconsider his relationships, especially in relation to the Cratchit family and Tiny Tim, evoking deep emotions such as grief, regret, and longing for connection. Scrooge's character evolves from a skeptical, apathetic man to someone who embraces generosity, compassion, and a desire to make amends.\n\nBy the end of the narrative, Scrooge's transformation is marked by a newfound joy and determination, as he seeks to contribute positively to the lives of those around him, ultimately reshaping his previous views on Christmas and community.", + "model": "gpt-4o-mini" + }, + "a88aa22110316b0a82d181d878dfcadb": { + "return": "The story prominently features several key themes that resonate throughout its narrative. One of the most significant themes is **redemption**. The protagonist, Ebenezer Scrooge, undergoes a profound transformation as he is confronted with the consequences of his past actions, ultimately leading to his resolution to change and embrace a better, more compassionate life. This theme underscores the idea that it is never too late to alter one's path and seek forgiveness for past wrongs.\n\nAnother central theme is **the importance of kindness and generosity**. Scrooge’s initial miserliness contrasts sharply with the warmth and joy displayed by characters like the Cratchit family. Their humble celebration of Christmas, despite their struggles, highlights the value of familial love, community spirit, and the act of giving, which serves as a reminder that wealth is not measured solely in material possessions.\n\nThe theme of **time** is also critical, as the narrative explores the impact of the past, present, and future on individual lives. Scrooge's journey with the three spirits emphasizes how experiences shape one's character and choices, reinforcing the notion that the present moment is vital for making positive changes. Through his reflections on lost opportunities and potential futures, Scrooge learns that acknowledging time's lessons is essential for personal growth.\n\nLastly, **isolation versus community** is a significant theme. Scrooge's initial solitude reflects his disconnection from humanity, which is contrasted by the stronger bonds of friendship and familial ties depicted in the lives of those around him. This theme highlights the necessity of nurturing relationships and the adverse effects of alienation. Ultimately, the story advocates for the interconnectedness of people and the joy that comes from engaging with others.\n\nIn summary, the themes of redemption, kindness, the significance of time, and the contrast between isolation and community weave together to create a rich moral tapestry that encourages readers to embrace empathy and change.", + "model": "gpt-4o-mini" + }, + "393cba6de95d05eff27a695ea77494f6": { + "return": "{\n \"high_level_keywords\": [\"Themes\", \"Story analysis\", \"Literary elements\"],\n \"low_level_keywords\": [\"Character development\", \"Conflict\", \"Symbolism\", \"Narrative structure\", \"Moral lessons\"]\n}", + "model": "gpt-4o-mini" + }, + "a983995d27621826c2c34b3086cc20b3": { + "return": "The novella \"A Christmas Carol\" by Charles Dickens is rich with themes that resonate with readers and audiences across generations. Several key themes emerge prominently, each contributing to the moral fabric of the narrative.\n\n### Transformation and Redemption\n\nAt the heart of the story lies the theme of transformation, particularly as embodied by the character of Ebenezer Scrooge. Initially depicted as miserly and unyielding, Scrooge undergoes a profound change facilitated by the supernatural visits of the three spirits. This metamorphosis underscores the transformative power of reflection, compassion, and the spirit of giving typically embodied by the Christmas season. Scrooge’s journey from a cold-hearted miser to a kind and generous man illustrates the possibility of redemption, regardless of one's past.\n\n### The Consequences of Avarice\n\nAvarice, or excessive greed, is another central theme depicted through Scrooge's character. His initial cold-heartedness is a direct consequence of his avaricious nature; he focuses solely on material wealth and business dealings at the expense of relationships and joy. The narrative highlights the ultimate emptiness that such a life leads to, culminating in feelings of loneliness and despair. This theme serves as a cautionary tale about the dangers of prioritizing wealth over human connection and empathy.\n\n### The Importance of Family and Community\n\nFamily and community play crucial roles throughout the story, serving as a stark contrast to Scrooge’s lonely existence. The interactions of the Cratchit family during Christmas exemplify warmth, love, and togetherness. Through the lens of the Cratchits, especially Tiny Tim’s character, readers witness the importance of familial bonds and social responsibility. The emotional connections and support displayed in these relationships portray a sense of hope and joy that transcends material circumstances.\n\n### Mortality and Reflection\n\nMortality is a recurring theme that compels both Scrooge and the reader to contemplate the fragility of life. The visits from the spirits, particularly the Ghost of Christmas Yet to Come, force Scrooge to confront the reality of his actions and their ultimate consequences—his own death and legacy. The theme of mortality drives home the message that it is essential to live a life marked by compassion and kindness, as these legacy elements are what endure beyond one's physical existence.\n\n### The Supernatural and Symbolism\n\nThe influence of supernatural elements and symbolism plays a significant role in conveying the story's themes. The three spirits serve not only as guides to Scrooge’s past, present, and future but also symbolize the moral choices that individuals must confront. For example, the chains worn by Marley's Ghost symbolize the burdens of regret that accompany a life devoid of compassion. Darkness and light are depicted throughout the novella, representing the struggles between ignorance and knowledge, despair and hope.\n\n### Conclusion \n\nIn summary, \"A Christmas Carol\" encompasses profound themes that engage with the complexities of the human experience. Transformation and redemption, avarice, the significance of family and community, mortality, and the role of the supernatural come together to form a rich tapestry of moral lessons. These themes not only elevate the narrative but also invite readers to reflect on their own lives and relationships, making the novella a timeless classic in discussions of human values and societal responsibilities. The story illustrates how one's choices can create ripples of impact throughout their life and the lives of others.", + "model": "gpt-4o-mini" + } +} \ No newline at end of file diff --git a/neo4jWorkDir/kv_store_text_chunks.json b/neo4jWorkDir/kv_store_text_chunks.json new file mode 100644 index 00000000..f737052e --- /dev/null +++ b/neo4jWorkDir/kv_store_text_chunks.json @@ -0,0 +1,254 @@ +{ + "chunk-9e3921da66da5d761ab73cd849af6c43": { + "tokens": 1200, + "content": "The Project Gutenberg eBook of A Christmas Carol\n \nThis ebook is for the use of anyone anywhere in the United States and\nmost other parts of the world at no cost and with almost no restrictions\nwhatsoever. You may copy it, give it away or re-use it under the terms\nof the Project Gutenberg License included with this ebook or online\nat www.gutenberg.org. If you are not located in the United States,\nyou will have to check the laws of the country where you are located\nbefore using this eBook.\n\nTitle: A Christmas Carol\n\nAuthor: Charles Dickens\n\nIllustrator: Arthur Rackham\n\nRelease date: December 24, 2007 [eBook #24022]\n\nLanguage: English\n\nOriginal publication: Philadelphia and New York: J. B. Lippincott Company,, 1915\n\nCredits: Produced by Suzanne Shell, Janet Blenkinship and the Online\n Distributed Proofreading Team at http://www.pgdp.net\n\n\n*** START OF THE PROJECT GUTENBERG EBOOK A CHRISTMAS CAROL ***\n\n\n\n\nProduced by Suzanne Shell, Janet Blenkinship and the Online\nDistributed Proofreading Team at http://www.pgdp.net\n\n\n\n\n\n\n\n\n\n\n\n A CHRISTMAS CAROL\n\n [Illustration: _\"How now?\" said Scrooge, caustic and cold as ever.\n \"What do you want with me?\"_]\n\n\n A CHRISTMAS CAROL\n\n [Illustration]\n\n BY\n\n CHARLES DICKENS\n\n [Illustration]\n\n ILLUSTRATED BY ARTHUR RACKHAM\n\n [Illustration]\n\n J. B. LIPPINCOTT COMPANY PHILADELPHIA AND NEW YORK\n\n FIRST PUBLISHED 1915\n\n REPRINTED 1923, 1927, 1932, 1933, 1934, 1935, 1947, 1948, 1952, 1958,\n 1962, 1964, 1966, 1967, 1969, 1971, 1972, 1973\n\n ISBN: 0-397-00033-2\n\n PRINTED IN GREAT BRITAIN\n\n\n\n\n PREFACE\n\n I have endeavoured in this Ghostly little book to raise the Ghost of an\n Idea which shall not put my readers out of humour with themselves, with\n each other, with the season, or with me. May it haunt their house\n pleasantly, and no one wish to lay it.\n\n Their faithful Friend and Servant,\n\n C. D.\n\n _December, 1843._\n\n\n\n\n CHARACTERS\n\n Bob Cratchit, clerk to Ebenezer Scrooge.\n Peter Cratchit, a son of the preceding.\n Tim Cratchit (\"Tiny Tim\"), a cripple, youngest son of Bob Cratchit.\n Mr. Fezziwig, a kind-hearted, jovial old merchant.\n Fred, Scrooge's nephew.\n Ghost of Christmas Past, a phantom showing things past.\n Ghost of Christmas Present, a spirit of a kind, generous,\n and hearty nature.\n Ghost of Christmas Yet to Come, an apparition showing the shadows\n of things which yet may happen.\n Ghost of Jacob Marley, a spectre of Scrooge's former partner in business.\n Joe, a marine-store dealer and receiver of stolen goods.\n Ebenezer Scrooge, a grasping, covetous old man, the surviving partner\n of the firm of Scrooge and Marley.\n Mr. Topper, a bachelor.\n Dick Wilkins, a fellow apprentice of Scrooge's.\n\n Belle, a comely matron, an old sweetheart of Scrooge's.\n Caroline, wife of one of Scrooge's debtors.\n Mrs. Cratchit, wife of Bob Cratchit.\n Belinda and Martha Cratchit, daughters of the preceding.\n\n Mrs. Dilber, a laundress.\n Fan, the sister of Scrooge.\n Mrs. Fezziwig, the worthy partner of Mr. Fezziwig.\n\n\n\n\n CONTENTS\n\n STAVE ONE--MARLEY'S GHOST 3\n STAVE TWO--THE FIRST OF THE THREE SPIRITS 37\n STAVE THREE--THE SECOND OF THE THREE SPIRITS 69\n STAVE FOUR--THE LAST OF THE SPIRITS 111\n STAVE FIVE--THE END OF IT 137\n\n\n LIST OF ILLUSTRATIONS\n\n _IN COLOUR_\n\n\n \"How now?\" said Scrooge, caustic\n and cold as ever. \"What do you\n want with me?\" _Frontispiece_\n\n Bob Cratchit went down a slide on\n Cornhill, at the end of a lane of\n boys, twenty times, in honour of\n its being Christmas Eve 16\n\n Nobody under the bed; nobody in\n the closet; nobody in his dressing-gown,\n which was hanging up\n in a suspicious attitude against\n the wall 20\n\n The air was filled with phantoms,\n wandering hither and thither in\n restless haste and moaning as\n they went 32\n\n Then old Fezziwig stood out to\n dance with Mrs. Fezziwig 54\n\n A flushed and boisterous group 62\n\n Laden with Christmas toys and\n presents 64\n\n The way he went after that plump\n sister in the lace tucker! 100\n\n \"How are you?\" said one.\n \"How are you?\"", + "chunk_order_index": 0, + "full_doc_id": "doc-addb4618e1697da0445ec72a648e1f92" + }, + "chunk-89777b838d5447c7bd1ec11282c4ee89": { + "tokens": 1200, + "content": "restless haste and moaning as\n they went 32\n\n Then old Fezziwig stood out to\n dance with Mrs. Fezziwig 54\n\n A flushed and boisterous group 62\n\n Laden with Christmas toys and\n presents 64\n\n The way he went after that plump\n sister in the lace tucker! 100\n\n \"How are you?\" said one.\n \"How are you?\" returned the other.\n \"Well!\" said the first. \"Old\n Scratch has got his own at last,\n hey?\" 114\n\n \"What do you call this?\" said Joe.\n \"Bed-curtains!\" \"Ah!\" returned\n the woman, laughing....\n \"Bed-curtains!\"\n\n \"You don't mean to say you took\n 'em down, rings and all, with him\n lying there?\" said Joe.\n\n \"Yes, I do,\" replied the woman.\n \"Why not?\" 120\n\n \"It's I, your uncle Scrooge. I have\n come to dinner. Will you let\n me in, Fred?\" 144\n\n \"Now, I'll tell you what, my friend,\"\n said Scrooge. \"I am not going\n to stand this sort of thing any\n longer.\" 146\n\n[Illustration]\n\n_IN BLACK AND WHITE_\n\n\n Tailpiece vi\n Tailpiece to List of Coloured Illustrations x\n Tailpiece to List of Black and White Illustrations xi\n Heading to Stave One 3\n They were portly gentlemen, pleasant to behold 12\n On the wings of the wind 28-29\n Tailpiece to Stave One 34\n Heading to Stave Two 37\n He produced a decanter of curiously\n light wine and a block of curiously heavy cake 50\n She left him, and they parted 60\n Tailpiece to Stave Two 65\n Heading to Stave Three 69\n There was nothing very cheerful in the climate 75\n He had been Tim's blood-horse all the way from church 84-85\n With the pudding 88\n Heading to Stave Four 111\n Heading to Stave Five 137\n Tailpiece to Stave Five 147\n\n[Illustration]\n\n\nSTAVE ONE\n\n\n[Illustration]\n\n\n\n\nMARLEY'S GHOST\n\n\nMarley was dead, to begin with. There is no doubt whatever about that.\nThe register of his burial was signed by the clergyman, the clerk, the\nundertaker, and the chief mourner. Scrooge signed it. And Scrooge's name\nwas good upon 'Change for anything he chose to put his hand to. Old\nMarley was as dead as a door-nail.\n\nMind! I don't mean to say that I know of my own knowledge, what there is\nparticularly dead about a door-nail. I might have been inclined, myself,\nto regard a coffin-nail as the deadest piece of ironmongery in the\ntrade. But the wisdom of our ancestors is in the simile; and my\nunhallowed hands shall not disturb it, or the country's done for. You\nwill, therefore, permit me to repeat, emphatically, that Marley was as\ndead as a door-nail.\n\nScrooge knew he was dead? Of course he did. How could it be otherwise?\nScrooge and he were partners for I don't know how many years. Scrooge\nwas his sole executor, his sole administrator, his sole assign, his sole\nresiduary legatee, his sole friend, and sole mourner. And even Scrooge\nwas not so dreadfully cut up by the sad event but that he was an\nexcellent man of business on the very day of the funeral, and solemnised\nit with an undoubted bargain.\n\nThe mention of Marley's funeral brings me back to the point I started\nfrom. There is no doubt that Marley was dead. This must be distinctly\nunderstood, or nothing wonderful can come of the story I am going to\nrelate. If we were not perfectly convinced that Hamlet's father died\nbefore the play began, there would be nothing more remarkable in his\ntaking a stroll at night, in an easterly wind, upon his own ramparts,\nthan there would be in any other middle-aged gentleman rashly turning\nout after dark in a breezy spot--say St. Paul's Churchyard, for\ninstance--literally to astonish his son's weak mind.\n\nScrooge never painted out Old Marley's name. There it stood, years\nafterwards, above the warehouse door: Scrooge and Marley. The firm was\nknown as Scrooge and Marley. Sometimes people new to the business called\nScrooge Scrooge, and sometimes Marley, but he answered to both names. It\nwas all the same to him.\n\nOh! but he was a tight-fisted hand at the grindstone, Scrooge! a\nsqueezing, wrenching, grasping, scraping, clutching, covetous old\nsinner! Hard and sharp as flint, from which no steel had ever struck out\ngenerous fire; secret, and self-contained, and solitary as an oyster.\nThe cold within him froze his old features, nipped his pointed nose,\nshrivelled his cheek, stiffened his gait; made his eyes red, his thin\nlips blue; and spoke out shrewdly in his grating voice. A frosty rime", + "chunk_order_index": 1, + "full_doc_id": "doc-addb4618e1697da0445ec72a648e1f92" + }, + "chunk-74e2466de2f67fd710ef2f20c0a8d9e0": { + "tokens": 1200, + "content": "clutching, covetous old\nsinner! Hard and sharp as flint, from which no steel had ever struck out\ngenerous fire; secret, and self-contained, and solitary as an oyster.\nThe cold within him froze his old features, nipped his pointed nose,\nshrivelled his cheek, stiffened his gait; made his eyes red, his thin\nlips blue; and spoke out shrewdly in his grating voice. A frosty rime\nwas on his head, and on his eyebrows, and his wiry chin. He carried his\nown low temperature always about with him; he iced his office in the\ndog-days, and didn't thaw it one degree at Christmas.\n\nExternal heat and cold had little influence on Scrooge. No warmth could\nwarm, no wintry weather chill him. No wind that blew was bitterer than\nhe, no falling snow was more intent upon its purpose, no pelting rain\nless open to entreaty. Foul weather didn't know where to have him. The\nheaviest rain, and snow, and hail, and sleet could boast of the\nadvantage over him in only one respect. They often 'came down'\nhandsomely, and Scrooge never did.\n\nNobody ever stopped him in the street to say, with gladsome looks, 'My\ndear Scrooge, how are you? When will you come to see me?' No beggars\nimplored him to bestow a trifle, no children asked him what it was\no'clock, no man or woman ever once in all his life inquired the way to\nsuch and such a place, of Scrooge. Even the blind men's dogs appeared to\nknow him; and, when they saw him coming on, would tug their owners into\ndoorways and up courts; and then would wag their tails as though they\nsaid, 'No eye at all is better than an evil eye, dark master!'\n\nBut what did Scrooge care? It was the very thing he liked. To edge his\nway along the crowded paths of life, warning all human sympathy to keep\nits distance, was what the knowing ones call 'nuts' to Scrooge.\n\nOnce upon a time--of all the good days in the year, on Christmas\nEve--old Scrooge sat busy in his counting-house. It was cold, bleak,\nbiting weather; foggy withal; and he could hear the people in the court\noutside go wheezing up and down, beating their hands upon their breasts,\nand stamping their feet upon the pavement stones to warm them. The City\nclocks had only just gone three, but it was quite dark already--it had\nnot been light all day--and candles were flaring in the windows of the\nneighbouring offices, like ruddy smears upon the palpable brown air. The\nfog came pouring in at every chink and keyhole, and was so dense\nwithout, that, although the court was of the narrowest, the houses\nopposite were mere phantoms. To see the dingy cloud come drooping down,\nobscuring everything, one might have thought that nature lived hard by,\nand was brewing on a large scale.\n\nThe door of Scrooge's counting-house was open, that he might keep his\neye upon his clerk, who in a dismal little cell beyond, a sort of tank,\nwas copying letters. Scrooge had a very small fire, but the clerk's fire\nwas so very much smaller that it looked like one coal. But he couldn't\nreplenish it, for Scrooge kept the coal-box in his own room; and so\nsurely as the clerk came in with the shovel, the master predicted that\nit would be necessary for them to part. Wherefore the clerk put on his\nwhite comforter, and tried to warm himself at the candle; in which\neffort, not being a man of strong imagination, he failed.\n\n'A merry Christmas, uncle! God save you!' cried a cheerful voice. It was\nthe voice of Scrooge's nephew, who came upon him so quickly that this\nwas the first intimation he had of his approach.\n\n'Bah!' said Scrooge. 'Humbug!'\n\nHe had so heated himself with rapid walking in the fog and frost, this\nnephew of Scrooge's, that he was all in a glow; his face was ruddy and\nhandsome; his eyes sparkled, and his breath smoked again.\n\n'Christmas a humbug, uncle!' said Scrooge's nephew. 'You don't mean\nthat, I am sure?'\n\n'I do,' said Scrooge. 'Merry Christmas! What right have you to be merry?\nWhat reason have you to be merry? You're poor enough.'\n\n'Come, then,' returned the nephew gaily. 'What right have you to be\ndismal? What reason have you to be morose? You're rich enough.'\n\nScrooge, having no better answer ready on the spur of the moment, said,\n'Bah!' again; and followed it up with 'Humbug!'\n\n'Don't be cross, uncle!' said the nephew.\n\n'What else can I be,' returned the uncle, 'when I live in such a world\nof fools as this? Merry Christmas! Out upon merry Christmas! What's\nChristmas-time to you but a time for paying bills without money; a time\nfor finding yourself a year older, and not an hour richer; a time for\nbalancing your books, and having every item in 'em through a round dozen\nof months presented dead against you? If I could work my will,' said\nScrooge indignantly, 'every idiot who goes", + "chunk_order_index": 2, + "full_doc_id": "doc-addb4618e1697da0445ec72a648e1f92" + }, + "chunk-5dac41b3f9eeaf794f0147400b1718cd": { + "tokens": 1200, + "content": "when I live in such a world\nof fools as this? Merry Christmas! Out upon merry Christmas! What's\nChristmas-time to you but a time for paying bills without money; a time\nfor finding yourself a year older, and not an hour richer; a time for\nbalancing your books, and having every item in 'em through a round dozen\nof months presented dead against you? If I could work my will,' said\nScrooge indignantly, 'every idiot who goes about with \"Merry Christmas\"\non his lips should be boiled with his own pudding, and buried with a\nstake of holly through his heart. He should!'\n\n'Uncle!' pleaded the nephew.\n\n'Nephew!' returned the uncle sternly, 'keep Christmas in your own way,\nand let me keep it in mine.'\n\n'Keep it!' repeated Scrooge's nephew. 'But you don't keep it.'\n\n'Let me leave it alone, then,' said Scrooge. 'Much good may it do you!\nMuch good it has ever done you!'\n\n'There are many things from which I might have derived good, by which I\nhave not profited, I dare say,' returned the nephew; 'Christmas among\nthe rest. But I am sure I have always thought of Christmas-time, when\nit has come round--apart from the veneration due to its sacred name and\norigin, if anything belonging to it can be apart from that--as a good\ntime; a kind, forgiving, charitable, pleasant time; the only time I know\nof, in the long calendar of the year, when men and women seem by one\nconsent to open their shut-up hearts freely, and to think of people\nbelow them as if they really were fellow-passengers to the grave, and\nnot another race of creatures bound on other journeys. And therefore,\nuncle, though it has never put a scrap of gold or silver in my pocket, I\nbelieve that it _has_ done me good and _will_ do me good; and I say, God\nbless it!'\n\nThe clerk in the tank involuntarily applauded. Becoming immediately\nsensible of the impropriety, he poked the fire, and extinguished the\nlast frail spark for ever.\n\n'Let me hear another sound from _you_,' said Scrooge, 'and you'll keep\nyour Christmas by losing your situation! You're quite a powerful\nspeaker, sir,' he added, turning to his nephew. 'I wonder you don't go\ninto Parliament.'\n\n'Don't be angry, uncle. Come! Dine with us to-morrow.'\n\nScrooge said that he would see him----Yes, indeed he did. He went the\nwhole length of the expression, and said that he would see him in that\nextremity first.\n\n'But why?' cried Scrooge's nephew. 'Why?'\n\n'Why did you get married?' said Scrooge.\n\n'Because I fell in love.'\n\n'Because you fell in love!' growled Scrooge, as if that were the only\none thing in the world more ridiculous than a merry Christmas. 'Good\nafternoon!'\n\n'Nay, uncle, but you never came to see me before that happened. Why give\nit as a reason for not coming now?'\n\n'Good afternoon,' said Scrooge.\n\n'I want nothing from you; I ask nothing of you; why cannot we be\nfriends?'\n\n'Good afternoon!' said Scrooge.\n\n'I am sorry, with all my heart, to find you so resolute. We have never\nhad any quarrel to which I have been a party. But I have made the trial\nin homage to Christmas, and I'll keep my Christmas humour to the last.\nSo A Merry Christmas, uncle!'\n\n'Good afternoon,' said Scrooge.\n\n'And A Happy New Year!'\n\n'Good afternoon!' said Scrooge.\n\nHis nephew left the room without an angry word, notwithstanding. He\nstopped at the outer door to bestow the greetings of the season on the\nclerk, who, cold as he was, was warmer than Scrooge; for he returned\nthem cordially.\n\n'There's another fellow,' muttered Scrooge, who overheard him: 'my\nclerk, with fifteen shillings a week, and a wife and family, talking\nabout a merry Christmas. I'll retire to Bedlam.'\n\nThis lunatic, in letting Scrooge's nephew out, had let two other people\nin. They were portly gentlemen, pleasant to behold, and now stood, with\ntheir hats off, in Scrooge's office. They had books and papers in their\nhands, and bowed to him.\n\n'Scrooge and Marley's, I believe,' said one of the gentlemen, referring\nto his list. 'Have I the pleasure of addressing Mr. Scrooge, or Mr.\nMarley?'\n\n'Mr. Marley has been dead these seven years,' Scrooge replied. 'He died\nseven years ago, this very night.'\n\n'We have no doubt his liberality is well represented by his surviving\npartner,' said the gentleman, presenting his credentials.\n\n[Illustration: THEY WERE PORTLY GENTLEMEN, PLEASANT TO BEHOLD]\n\nIt certainly was; for they had been two kindred spirits. At the ominous\nword 'liberality' Scrooge frowned, and shook his head, and handed the\ncredentials back.\n\n'At this festive season of the year, Mr. Scrooge,' said the gentleman,\ntaking up a pen, 'it is more than usually desirable that we should make\nsome slight provision for the poor and destitute, who suffer greatly at\nthe present time. Many thousands are", + "chunk_order_index": 3, + "full_doc_id": "doc-addb4618e1697da0445ec72a648e1f92" + }, + "chunk-90d5764e301321c087f5a8f78b73a145": { + "tokens": 1200, + "content": "It certainly was; for they had been two kindred spirits. At the ominous\nword 'liberality' Scrooge frowned, and shook his head, and handed the\ncredentials back.\n\n'At this festive season of the year, Mr. Scrooge,' said the gentleman,\ntaking up a pen, 'it is more than usually desirable that we should make\nsome slight provision for the poor and destitute, who suffer greatly at\nthe present time. Many thousands are in want of common necessaries;\nhundreds of thousands are in want of common comforts, sir.'\n\n'Are there no prisons?' asked Scrooge.\n\n'Plenty of prisons,' said the gentleman, laying down the pen again.\n\n'And the Union workhouses?' demanded Scrooge. 'Are they still in\noperation?'\n\n'They are. Still,' returned the gentleman, 'I wish I could say they were\nnot.'\n\n'The Treadmill and the Poor Law are in full vigour, then?' said Scrooge.\n\n'Both very busy, sir.'\n\n'Oh! I was afraid, from what you said at first, that something had\noccurred to stop them in their useful course,' said Scrooge. 'I am very\nglad to hear it.'\n\n'Under the impression that they scarcely furnish Christian cheer of mind\nor body to the multitude,' returned the gentleman, 'a few of us are\nendeavouring to raise a fund to buy the Poor some meat and drink, and\nmeans of warmth. We choose this time, because it is a time, of all\nothers, when Want is keenly felt, and Abundance rejoices. What shall I\nput you down for?'\n\n'Nothing!' Scrooge replied.\n\n'You wish to be anonymous?'\n\n'I wish to be left alone,' said Scrooge. 'Since you ask me what I wish,\ngentlemen, that is my answer. I don't make merry myself at Christmas,\nand I can't afford to make idle people merry. I help to support the\nestablishments I have mentioned--they cost enough: and those who are\nbadly off must go there.'\n\n'Many can't go there; and many would rather die.'\n\n'If they would rather die,' said Scrooge, 'they had better do it, and\ndecrease the surplus population. Besides--excuse me--I don't know that.'\n\n'But you might know it,' observed the gentleman.\n\n'It's not my business,' Scrooge returned. 'It's enough for a man to\nunderstand his own business, and not to interfere with other people's.\nMine occupies me constantly. Good afternoon, gentlemen!'\n\nSeeing clearly that it would be useless to pursue their point, the\ngentlemen withdrew. Scrooge resumed his labours with an improved opinion\nof himself, and in a more facetious temper than was usual with him.\n\nMeanwhile the fog and darkness thickened so, that people ran about with\nflaring links, proffering their services to go before horses in\ncarriages, and conduct them on their way. The ancient tower of a church,\nwhose gruff old bell was always peeping slyly down at Scrooge out of a\nGothic window in the wall, became invisible, and struck the hours and\nquarters in the clouds, with tremulous vibrations afterwards, as if its\nteeth were chattering in its frozen head up there. The cold became\nintense. In the main street, at the corner of the court, some labourers\nwere repairing the gas-pipes, and had lighted a great fire in a brazier,\nround which a party of ragged men and boys were gathered: warming their\nhands and winking their eyes before the blaze in rapture. The water-plug\nbeing left in solitude, its overflowings suddenly congealed, and turned\nto misanthropic ice. The brightness of the shops, where holly sprigs and\nberries crackled in the lamp heat of the windows, made pale faces ruddy\nas they passed. Poulterers' and grocers' trades became a splendid joke:\na glorious pageant, with which it was next to impossible to believe that\nsuch dull principles as bargain and sale had anything to do. The Lord\nMayor, in the stronghold of the mighty Mansion House, gave orders to his\nfifty cooks and butlers to keep Christmas as a Lord Mayor's household\nshould; and even the little tailor, whom he had fined five shillings on\nthe previous Monday for being drunk and bloodthirsty in the streets,\nstirred up to-morrow's pudding in his garret, while his lean wife and\nthe baby sallied out to buy the beef.\n\nFoggier yet, and colder! Piercing, searching, biting cold. If the good\nSt. Dunstan had but nipped the Evil Spirit's nose with a touch of such\nweather as that, instead of using his familiar weapons, then indeed he\nwould have roared to lusty purpose. The owner of one scant young nose,\ngnawed and mumbled by the hungry cold as bones are gnawed by dogs,\nstooped down at Scrooge's keyhole to regale him with a Christmas carol;\nbut, at the first sound of\n\n 'God bless you, merry gentleman,\n May nothing you dismay!'\n\nScrooge seized the ruler with such energy of action that the singer fled\nin terror, leaving the keyhole to the fog, and even more congenial\nfrost.\n\nAt length the hour of shutting up the counting-house arrived. With an\nill-will Scrooge dismounted from his stool, and tacitly admitted the\nfact to the expectant clerk in the tank, who instantly snuffed his", + "chunk_order_index": 4, + "full_doc_id": "doc-addb4618e1697da0445ec72a648e1f92" + }, + "chunk-d9aac3484185ac66045df92214d245d5": { + "tokens": 1200, + "content": "God bless you, merry gentleman,\n May nothing you dismay!'\n\nScrooge seized the ruler with such energy of action that the singer fled\nin terror, leaving the keyhole to the fog, and even more congenial\nfrost.\n\nAt length the hour of shutting up the counting-house arrived. With an\nill-will Scrooge dismounted from his stool, and tacitly admitted the\nfact to the expectant clerk in the tank, who instantly snuffed his\ncandle out, and put on his hat.\n\n'You'll want all day to-morrow, I suppose?' said Scrooge.\n\n'If quite convenient, sir.'\n\n'It's not convenient,' said Scrooge, 'and it's not fair. If I was to\nstop half-a-crown for it, you'd think yourself ill used, I'll be bound?'\n\nThe clerk smiled faintly.\n\n'And yet,' said Scrooge, 'you don't think _me_ ill used when I pay a\nday's wages for no work.'\n\n[Illustration: _Bob Cratchit went down a slide on Cornhill, at the end\nof a lane of boys, twenty times, in honour of its being Christmas\nEve_]\n\nThe clerk observed that it was only once a year.\n\n'A poor excuse for picking a man's pocket every twenty-fifth of\nDecember!' said Scrooge, buttoning his greatcoat to the chin. 'But I\nsuppose you must have the whole day. Be here all the earlier next\nmorning.'\n\nThe clerk promised that he would; and Scrooge walked out with a growl.\nThe office was closed in a twinkling, and the clerk, with the long ends\nof his white comforter dangling below his waist (for he boasted no\ngreatcoat), went down a slide on Cornhill, at the end of a lane of boys,\ntwenty times, in honour of its being Christmas Eve, and then ran home to\nCamden Town as hard as he could pelt, to play at blind man's-buff.\n\nScrooge took his melancholy dinner in his usual melancholy tavern; and\nhaving read all the newspapers, and beguiled the rest of the evening\nwith his banker's book, went home to bed. He lived in chambers which had\nonce belonged to his deceased partner. They were a gloomy suite of\nrooms, in a lowering pile of building up a yard, where it had so little\nbusiness to be, that one could scarcely help fancying it must have run\nthere when it was a young house, playing at hide-and-seek with other\nhouses, and have forgotten the way out again. It was old enough now, and\ndreary enough; for nobody lived in it but Scrooge, the other rooms\nbeing all let out as offices. The yard was so dark that even Scrooge,\nwho knew its every stone, was fain to grope with his hands. The fog and\nfrost so hung about the black old gateway of the house, that it seemed\nas if the Genius of the Weather sat in mournful meditation on the\nthreshold.\n\nNow, it is a fact that there was nothing at all particular about the\nknocker on the door, except that it was very large. It is also a fact\nthat Scrooge had seen it, night and morning, during his whole residence\nin that place; also that Scrooge had as little of what is called fancy\nabout him as any man in the City of London, even including--which is a\nbold word--the corporation, aldermen, and livery. Let it also be borne\nin mind that Scrooge had not bestowed one thought on Marley since his\nlast mention of his seven-years'-dead partner that afternoon. And then\nlet any man explain to me, if he can, how it happened that Scrooge,\nhaving his key in the lock of the door, saw in the knocker, without its\nundergoing any intermediate process of change--not a knocker, but\nMarley's face.\n\nMarley's face. It was not in impenetrable shadow, as the other objects\nin the yard were, but had a dismal light about it, like a bad lobster in\na dark cellar. It was not angry or ferocious, but looked at Scrooge as\nMarley used to look; with ghostly spectacles turned up on its ghostly\nforehead. The hair was curiously stirred, as if by breath or hot air;\nand, though the eyes were wide open, they were perfectly motionless.\nThat, and its livid colour, made it horrible; but its horror seemed to\nbe in spite of the face, and beyond its control, rather than a part of\nits own expression.\n\nAs Scrooge looked fixedly at this phenomenon, it was a knocker again.\n\nTo say that he was not startled, or that his blood was not conscious of\na terrible sensation to which it had been a stranger from infancy, would\nbe untrue. But he put his hand upon the key he had relinquished, turned\nit sturdily, walked in, and lighted his candle.\n\nHe _did_ pause, with a moment's irresolution, before he shut the door;\nand he _did_ look cautiously behind it first, as if he half expected to\nbe terrified with the sight of Marley's pigtail sticking out into the\nhall. But there was nothing on the back of the door, except the screws\nand nuts that held the knocker on, so he said, 'Pooh, pooh!' and closed\nit with a bang.\n\nThe sound resounded through the house like thunder. Every room above,\nand every cask in the wine-merchant's cellars below,", + "chunk_order_index": 5, + "full_doc_id": "doc-addb4618e1697da0445ec72a648e1f92" + }, + "chunk-9c43dac2fcd5b578242d907ea6f8fc7b": { + "tokens": 1200, + "content": "behind it first, as if he half expected to\nbe terrified with the sight of Marley's pigtail sticking out into the\nhall. But there was nothing on the back of the door, except the screws\nand nuts that held the knocker on, so he said, 'Pooh, pooh!' and closed\nit with a bang.\n\nThe sound resounded through the house like thunder. Every room above,\nand every cask in the wine-merchant's cellars below, appeared to have a\nseparate peal of echoes of its own. Scrooge was not a man to be\nfrightened by echoes. He fastened the door, and walked across the hall,\nand up the stairs: slowly, too: trimming his candle as he went.\n\nYou may talk vaguely about driving a coach and six up a good old flight\nof stairs, or through a bad young Act of Parliament; but I mean to say\nyou might have got a hearse up that staircase, and taken it broadwise,\nwith the splinter-bar towards the wall, and the door towards the\nbalustrades: and done it easy. There was plenty of width for that, and\nroom to spare; which is perhaps the reason why Scrooge thought he saw a\nlocomotive hearse going on before him in the gloom. Half-a-dozen\ngas-lamps out of the street wouldn't have lighted the entry too well, so\nyou may suppose that it was pretty dark with Scrooge's dip.\n\nUp Scrooge went, not caring a button for that. Darkness is cheap, and\nScrooge liked it. But, before he shut his heavy door, he walked through\nhis rooms to see that all was right. He had just enough recollection of\nthe face to desire to do that.\n\nSitting-room, bedroom, lumber-room. All as they should be. Nobody under\nthe table, nobody under the sofa; a small fire in the grate; spoon and\nbasin ready; and the little saucepan of gruel (Scrooge had a cold in his\nhead) upon the hob. Nobody under the bed; nobody in the closet; nobody\nin his dressing-gown, which was hanging up in a suspicious attitude\nagainst the wall. Lumber-room as usual. Old fire-guard, old shoes, two\nfish baskets, washing-stand on three legs, and a poker.\n\n[Illustration: _Nobody under the bed; nobody in the closet; nobody in\nhis dressing-gown, which was hanging up in a suspicious attitude against\nthe wall_]\n\nQuite satisfied, he closed his door, and locked himself in; double\nlocked himself in, which was not his custom. Thus secured against\nsurprise, he took off his cravat; put on his dressing-gown and slippers,\nand his nightcap; and sat down before the fire to take his gruel.\n\nIt was a very low fire indeed; nothing on such a bitter night. He was\nobliged to sit close to it, and brood over it, before he could extract\nthe least sensation of warmth from such a handful of fuel. The fireplace\nwas an old one, built by some Dutch merchant long ago, and paved all\nround with quaint Dutch tiles, designed to illustrate the Scriptures.\nThere were Cains and Abels, Pharaoh's daughters, Queens of Sheba,\nAngelic messengers descending through the air on clouds like\nfeather-beds, Abrahams, Belshazzars, Apostles putting off to sea in\nbutter-boats, hundreds of figures to attract his thoughts; and yet that\nface of Marley, seven years dead, came like the ancient Prophet's rod,\nand swallowed up the whole. If each smooth tile had been a blank at\nfirst, with power to shape some picture on its surface from the\ndisjointed fragments of his thoughts, there would have been a copy of\nold Marley's head on every one.\n\n'Humbug!' said Scrooge; and walked across the room.\n\nAfter several turns he sat down again. As he threw his head back in the\nchair, his glance happened to rest upon a bell, a disused bell, that\nhung in the room, and communicated, for some purpose now forgotten, with\na chamber in the highest storey of the building. It was with great\nastonishment, and with a strange, inexplicable dread, that, as he\nlooked, he saw this bell begin to swing. It swung so softly in the\noutset that it scarcely made a sound; but soon it rang out loudly, and\nso did every bell in the house.\n\nThis might have lasted half a minute, or a minute, but it seemed an\nhour. The bells ceased, as they had begun, together. They were succeeded\nby a clanking noise deep down below as if some person were dragging a\nheavy chain over the casks in the wine-merchant's cellar. Scrooge then\nremembered to have heard that ghosts in haunted houses were described as\ndragging chains.\n\nThe cellar door flew open with a booming sound, and then he heard the\nnoise much louder on the floors below; then coming up the stairs; then\ncoming straight towards his door.\n\n'It's humbug still!' said Scrooge. 'I won't believe it.'\n\nHis colour changed, though, when, without a pause, it came on through\nthe heavy door and passed into the room before his eyes. Upon its coming\nin, the dying flame leaped up, as though it cried, 'I know him! Marley's\nGhost!' and fell again.\n\nThe same face: the very same. Marley in his pigtail, usual waistcoat,\ntights, and boots; the tassels on the latter bristling", + "chunk_order_index": 6, + "full_doc_id": "doc-addb4618e1697da0445ec72a648e1f92" + }, + "chunk-1aa50206d02ed89418f65f97c6441d1c": { + "tokens": 1200, + "content": "I won't believe it.'\n\nHis colour changed, though, when, without a pause, it came on through\nthe heavy door and passed into the room before his eyes. Upon its coming\nin, the dying flame leaped up, as though it cried, 'I know him! Marley's\nGhost!' and fell again.\n\nThe same face: the very same. Marley in his pigtail, usual waistcoat,\ntights, and boots; the tassels on the latter bristling, like his\npigtail, and his coat-skirts, and the hair upon his head. The chain he\ndrew was clasped about his middle. It was long, and wound about him like\na tail; and it was made (for Scrooge observed it closely) of cash-boxes,\nkeys, padlocks, ledgers, deeds, and heavy purses wrought in steel. His\nbody was transparent: so that Scrooge, observing him, and looking\nthrough his waistcoat, could see the two buttons on his coat behind.\n\nScrooge had often heard it said that Marley had no bowels, but he had\nnever believed it until now.\n\nNo, nor did he believe it even now. Though he looked the phantom through\nand through, and saw it standing before him; though he felt the chilling\ninfluence of its death-cold eyes, and marked the very texture of the\nfolded kerchief bound about its head and chin, which wrapper he had not\nobserved before, he was still incredulous, and fought against his\nsenses.\n\n'How now!' said Scrooge, caustic and cold as ever. 'What do you want\nwith me?'\n\n'Much!'--Marley's voice; no doubt about it.\n\n'Who are you?'\n\n'Ask me who I _was_.'\n\n'Who _were_ you, then?' said Scrooge, raising his voice. 'You're\nparticular, for a shade.' He was going to say '_to_ a shade,' but\nsubstituted this, as more appropriate.\n\n'In life I was your partner, Jacob Marley.'\n\n'Can you--can you sit down?' asked Scrooge, looking doubtfully at him.\n\n'I can.'\n\n'Do it, then.'\n\nScrooge asked the question, because he didn't know whether a ghost so\ntransparent might find himself in a condition to take a chair; and felt\nthat in the event of its being impossible, it might involve the\nnecessity of an embarrassing explanation. But the Ghost sat down on the\nopposite side of the fireplace, as if he were quite used to it.\n\n'You don't believe in me,' observed the Ghost.\n\n'I don't,' said Scrooge.\n\n'What evidence would you have of my reality beyond that of your own\nsenses?'\n\n'I don't know,' said Scrooge.\n\n'Why do you doubt your senses?'\n\n'Because,' said Scrooge, 'a little thing affects them. A slight disorder\nof the stomach makes them cheats. You may be an undigested bit of beef,\na blot of mustard, a crumb of cheese, a fragment of an underdone potato.\nThere's more of gravy than of grave about you, whatever you are!'\n\nScrooge was not much in the habit of cracking jokes, nor did he feel in\nhis heart by any means waggish then. The truth is, that he tried to be\nsmart, as a means of distracting his own attention, and keeping down his\nterror; for the spectre's voice disturbed the very marrow in his bones.\n\nTo sit staring at those fixed, glazed eyes in silence, for a moment,\nwould play, Scrooge felt, the very deuce with him. There was something\nvery awful, too, in the spectre's being provided with an infernal\natmosphere of his own. Scrooge could not feel it himself, but this was\nclearly the case; for though the Ghost sat perfectly motionless, its\nhair, and skirts, and tassels were still agitated as by the hot vapour\nfrom an oven.\n\n'You see this toothpick?' said Scrooge, returning quickly to the charge,\nfor the reason just assigned; and wishing, though it were only for a\nsecond, to divert the vision's stony gaze from himself.\n\n'I do,' replied the Ghost.\n\n'You are not looking at it,' said Scrooge.\n\n'But I see it,' said the Ghost, 'notwithstanding.'\n\n'Well!' returned Scrooge, 'I have but to swallow this, and be for the\nrest of my days persecuted by a legion of goblins, all of my own\ncreation. Humbug, I tell you: humbug!'\n\nAt this the spirit raised a frightful cry, and shook its chain with such\na dismal and appalling noise, that Scrooge held on tight to his chair,\nto save himself from falling in a swoon. But how much greater was his\nhorror when the phantom, taking off the bandage round his head, as if it\nwere too warm to wear indoors, its lower jaw dropped down upon its\nbreast!\n\nScrooge fell upon his knees, and clasped his hands before his face.\n\n'Mercy!' he said. 'Dreadful apparition, why do you trouble me?'\n\n'Man of the worldly mind!' replied the Ghost, 'do you believe in me or\nnot?'\n\n'I do,' said Scrooge; 'I must. But why do spirits walk the earth, and\nwhy do they come to me?'\n\n'It is required of every man,' the Ghost returned, 'that the spirit\nwithin him should walk abroad among his fellow-men, and travel far and\nwide", + "chunk_order_index": 7, + "full_doc_id": "doc-addb4618e1697da0445ec72a648e1f92" + }, + "chunk-359187e7571bda4b0b08b2e0b6581e52": { + "tokens": 1200, + "content": "said. 'Dreadful apparition, why do you trouble me?'\n\n'Man of the worldly mind!' replied the Ghost, 'do you believe in me or\nnot?'\n\n'I do,' said Scrooge; 'I must. But why do spirits walk the earth, and\nwhy do they come to me?'\n\n'It is required of every man,' the Ghost returned, 'that the spirit\nwithin him should walk abroad among his fellow-men, and travel far and\nwide; and, if that spirit goes not forth in life, it is condemned to do\nso after death. It is doomed to wander through the world--oh, woe is\nme!--and witness what it cannot share, but might have shared on earth,\nand turned to happiness!'\n\nAgain the spectre raised a cry, and shook its chain and wrung its\nshadowy hands.\n\n'You are fettered,' said Scrooge, trembling. 'Tell me why?'\n\n'I wear the chain I forged in life,' replied the Ghost. 'I made it link\nby link, and yard by yard; I girded it on of my own free will, and of\nmy own free will I wore it. Is its pattern strange to _you_?'\n\nScrooge trembled more and more.\n\n'Or would you know,' pursued the Ghost, 'the weight and length of the\nstrong coil you bear yourself? It was full as heavy and as long as this\nseven Christmas Eves ago. You have laboured on it since. It is a\nponderous chain!'\n\nScrooge glanced about him on the floor, in the expectation of finding\nhimself surrounded by some fifty or sixty fathoms of iron cable; but he\ncould see nothing.\n\n'Jacob!' he said imploringly. 'Old Jacob Marley, tell me more! Speak\ncomfort to me, Jacob!'\n\n'I have none to give,' the Ghost replied. 'It comes from other regions,\nEbenezer Scrooge, and is conveyed by other ministers, to other kinds of\nmen. Nor can I tell you what I would. A very little more is all\npermitted to me. I cannot rest, I cannot stay, I cannot linger anywhere.\nMy spirit never walked beyond our counting-house--mark me;--in life my\nspirit never roved beyond the narrow limits of our money-changing hole;\nand weary journeys lie before me!'\n\nIt was a habit with Scrooge, whenever he became thoughtful, to put his\nhands in his breeches pockets. Pondering on what the Ghost had said, he\ndid so now, but without lifting up his eyes, or getting off his knees.\n\n[Illustration: ON THE WINGS OF THE WIND]\n\n'You must have been very slow about it, Jacob,' Scrooge observed in a\nbusiness-like manner, though with humility and deference.\n\n'Slow!' the Ghost repeated.\n\n'Seven years dead,' mused Scrooge. 'And travelling all the time?'\n\n'The whole time,' said the Ghost. 'No rest, no peace. Incessant torture\nof remorse.'\n\n'You travel fast?' said Scrooge.\n\n[Illustration]\n\n'On the wings of the wind,' replied the Ghost.\n\n'You might have got over a great quantity of ground in seven years,'\nsaid Scrooge.\n\nThe Ghost, on hearing this, set up another cry, and clanked its chain so\nhideously in the dead silence of the night, that the Ward would have\nbeen justified in indicting it for a nuisance.\n\n'Oh! captive, bound, and double-ironed,' cried the phantom, 'not to know\nthat ages of incessant labour, by immortal creatures, for this earth\nmust pass into eternity before the good of which it is susceptible is\nall developed! Not to know that any Christian spirit working kindly in\nits little sphere, whatever it may be, will find its mortal life too\nshort for its vast means of usefulness! Not to know that no space of\nregret can make amends for one life's opportunities misused! Yet such\nwas I! Oh, such was I!'\n\n'But you were always a good man of business, Jacob,' faltered Scrooge,\nwho now began to apply this to himself.\n\n'Business!' cried the Ghost, wringing its hands again. 'Mankind was my\nbusiness. The common welfare was my business; charity, mercy,\nforbearance, and benevolence were, all, my business. The dealings of my\ntrade were but a drop of water in the comprehensive ocean of my\nbusiness!'\n\nIt held up its chain at arm's-length, as if that were the cause of all\nits unavailing grief, and flung it heavily upon the ground again.\n\n'At this time of the rolling year,' the spectre said, 'I suffer most.\nWhy did I walk through crowds of fellow-beings with my eyes turned down,\nand never raise them to that blessed Star which led the Wise Men to a\npoor abode? Were there no poor homes to which its light would have\nconducted _me_?'\n\nScrooge was very much dismayed to hear the spectre going on at this\nrate, and began to quake exceedingly.\n\n'Hear me!' cried the Ghost. 'My time is nearly gone.'\n\n'I will,' said Scrooge. 'But don't be hard upon me! Don't be flowery,\nJacob! Pray!'\n\n'How it is that I appear before you in a shape that you can see, I may\nnot tell. I have sat invisible beside you many and many a day.'\n\nIt was not an agreeable idea. Scrooge shivered, and wiped the\nperspiration from his brow.\n\n'That is no light part of my", + "chunk_order_index": 8, + "full_doc_id": "doc-addb4618e1697da0445ec72a648e1f92" + }, + "chunk-cb661c37436355ccec2769b1d0350c5f": { + "tokens": 1200, + "content": "'My time is nearly gone.'\n\n'I will,' said Scrooge. 'But don't be hard upon me! Don't be flowery,\nJacob! Pray!'\n\n'How it is that I appear before you in a shape that you can see, I may\nnot tell. I have sat invisible beside you many and many a day.'\n\nIt was not an agreeable idea. Scrooge shivered, and wiped the\nperspiration from his brow.\n\n'That is no light part of my penance,' pursued the Ghost. 'I am here\nto-night to warn you that you have yet a chance and hope of escaping my\nfate. A chance and hope of my procuring, Ebenezer.'\n\n'You were always a good friend to me,' said Scrooge. 'Thankee!'\n\n'You will be haunted,' resumed the Ghost, 'by Three Spirits.'\n\nScrooge's countenance fell almost as low as the Ghost's had done.\n\n'Is that the chance and hope you mentioned, Jacob?' he demanded in a\nfaltering voice.\n\n'It is.'\n\n'I--I think I'd rather not,' said Scrooge.\n\n'Without their visits,' said the Ghost, 'you cannot hope to shun the\npath I tread. Expect the first to-morrow when the bell tolls One.'\n\n'Couldn't I take 'em all at once, and have it over, Jacob?' hinted\nScrooge.\n\n'Expect the second on the next night at the same hour. The third, upon\nthe next night when the last stroke of Twelve has ceased to vibrate.\nLook to see me no more; and look that, for your own sake, you remember\nwhat has passed between us!'\n\nWhen it had said these words, the spectre took its wrapper from the\ntable, and bound it round its head as before. Scrooge knew this by the\nsmart sound its teeth made when the jaws were brought together by the\nbandage. He ventured to raise his eyes again, and found his supernatural\nvisitor confronting him in an erect attitude, with its chain wound over\nand about its arm.\n\n[Illustration: _The air was filled with phantoms, wandering hither and\nthither in restless haste and moaning as they went_]\n\nThe apparition walked backward from him; and, at every step it took, the\nwindow raised itself a little, so that, when the spectre reached it, it\nwas wide open. It beckoned Scrooge to approach, which he did. When they\nwere within two paces of each other, Marley's Ghost held up its hand,\nwarning him to come no nearer. Scrooge stopped.\n\nNot so much in obedience as in surprise and fear; for, on the raising of\nthe hand, he became sensible of confused noises in the air; incoherent\nsounds of lamentation and regret; wailings inexpressibly sorrowful and\nself-accusatory. The spectre, after listening for a moment, joined in\nthe mournful dirge; and floated out upon the bleak, dark night.\n\nScrooge followed to the window: desperate in his curiosity. He looked\nout.\n\nThe air was filled with phantoms, wandering hither and thither in\nrestless haste, and moaning as they went. Every one of them wore chains\nlike Marley's Ghost; some few (they might be guilty governments) were\nlinked together; none were free. Many had been personally known to\nScrooge in their lives. He had been quite familiar with one old ghost in\na white waistcoat, with a monstrous iron safe attached to its ankle, who\ncried piteously at being unable to assist a wretched woman with an\ninfant, whom it saw below upon a doorstep. The misery with them all was\nclearly, that they sought to interfere, for good, in human matters, and\nhad lost the power for ever.\n\nWhether these creatures faded into mist, or mist enshrouded them, he\ncould not tell. But they and their spirit voices faded together; and\nthe night became as it had been when he walked home.\n\nScrooge closed the window, and examined the door by which the Ghost had\nentered. It was double locked, as he had locked it with his own hands,\nand the bolts were undisturbed. He tried to say 'Humbug!' but stopped at\nthe first syllable. And being, from the emotions he had undergone, or\nthe fatigues of the day, or his glimpse of the Invisible World, or the\ndull conversation of the Ghost, or the lateness of the hour, much in\nneed of repose, went straight to bed without undressing, and fell asleep\nupon the instant.\n\n[Illustration]\n\n\nSTAVE TWO\n\n[Illustration]\n\n\n\n\nTHE FIRST OF THE THREE SPIRITS\n\n\nWhen Scrooge awoke it was so dark, that, looking out of bed, he could\nscarcely distinguish the transparent window from the opaque walls of his\nchamber. He was endeavouring to pierce the darkness with his ferret\neyes, when the chimes of a neighbouring church struck the four quarters.\nSo he listened for the hour.\n\nTo his great astonishment, the heavy bell went on from six to seven, and\nfrom seven to eight, and regularly up to twelve; then stopped. Twelve!\nIt was past two when he went to bed. The clock was wrong. An icicle must\nhave got into the works. Twelve!\n\nHe touched the spring of his repeater, to correct this most preposterous\nclock. Its rapid little pulse beat twelve, and stopped.\n\n'Why, it isn't possible,' said Scrooge, 'that I can have slept through a\nwhole day and far into", + "chunk_order_index": 9, + "full_doc_id": "doc-addb4618e1697da0445ec72a648e1f92" + }, + "chunk-c7b10789a9cb0af6c553730b29bd9034": { + "tokens": 1200, + "content": "from seven to eight, and regularly up to twelve; then stopped. Twelve!\nIt was past two when he went to bed. The clock was wrong. An icicle must\nhave got into the works. Twelve!\n\nHe touched the spring of his repeater, to correct this most preposterous\nclock. Its rapid little pulse beat twelve, and stopped.\n\n'Why, it isn't possible,' said Scrooge, 'that I can have slept through a\nwhole day and far into another night. It isn't possible that anything\nhas happened to the sun, and this is twelve at noon!'\n\nThe idea being an alarming one, he scrambled out of bed, and groped his\nway to the window. He was obliged to rub the frost off with the sleeve\nof his dressing-gown before he could see anything; and could see very\nlittle then. All he could make out was, that it was still very foggy and\nextremely cold, and that there was no noise of people running to and\nfro, and making a great stir, as there unquestionably would have been if\nnight had beaten off bright day, and taken possession of the world. This\nwas a great relief, because 'Three days after sight of this First of\nExchange pay to Mr. Ebenezer Scrooge or his order,' and so forth, would\nhave become a mere United States security if there were no days to count\nby.\n\nScrooge went to bed again, and thought, and thought, and thought it over\nand over, and could make nothing of it. The more he thought, the more\nperplexed he was; and, the more he endeavoured not to think, the more he\nthought.\n\nMarley's Ghost bothered him exceedingly. Every time he resolved within\nhimself, after mature inquiry that it was all a dream, his mind flew\nback again, like a strong spring released, to its first position, and\npresented the same problem to be worked all through, 'Was it a dream or\nnot?'\n\nScrooge lay in this state until the chime had gone three-quarters more,\nwhen he remembered, on a sudden, that the Ghost had warned him of a\nvisitation when the bell tolled one. He resolved to lie awake until the\nhour was passed; and, considering that he could no more go to sleep than\ngo to heaven, this was, perhaps, the wisest resolution in his power.\n\nThe quarter was so long, that he was more than once convinced he must\nhave sunk into a doze unconsciously, and missed the clock. At length it\nbroke upon his listening ear.\n\n'Ding, dong!'\n\n'A quarter past,' said Scrooge, counting.\n\n'Ding, dong!'\n\n'Half past,' said Scrooge.\n\n'Ding, dong!'\n\n'A quarter to it.' said Scrooge.\n\n'Ding, dong!'\n\n'The hour itself,' said Scrooge triumphantly, 'and nothing else!'\n\nHe spoke before the hour bell sounded, which it now did with a deep,\ndull, hollow, melancholy ONE. Light flashed up in the room upon the\ninstant, and the curtains of his bed were drawn.\n\nThe curtains of his bed were drawn aside, I tell you, by a hand. Not\nthe curtains at his feet, nor the curtains at his back, but those to\nwhich his face was addressed. The curtains of his bed were drawn aside;\nand Scrooge, starting up into a half-recumbent attitude, found himself\nface to face with the unearthly visitor who drew them: as close to it as\nI am now to you, and I am standing in the spirit at your elbow.\n\nIt was a strange figure--like a child; yet not so like a child as like\nan old man, viewed through some supernatural medium, which gave him the\nappearance of having receded from the view, and being diminished to a\nchild's proportions. Its hair, which hung about its neck and down its\nback, was white, as if with age; and yet the face had not a wrinkle in\nit, and the tenderest bloom was on the skin. The arms were very long and\nmuscular; the hands the same, as if its hold were of uncommon strength.\nIts legs and feet, most delicately formed, were, like those upper\nmembers, bare. It wore a tunic of the purest white; and round its waist\nwas bound a lustrous belt, the sheen of which was beautiful. It held a\nbranch of fresh green holly in its hand; and, in singular contradiction\nof that wintry emblem, had its dress trimmed with summer flowers. But\nthe strangest thing about it was, that from the crown of its head there\nsprang a bright clear jet of light, by which all this was visible; and\nwhich was doubtless the occasion of its using, in its duller moments, a\ngreat extinguisher for a cap, which it now held under its arm.\n\nEven this, though, when Scrooge looked at it with increasing steadiness,\nwas _not_ its strangest quality. For, as its belt sparkled and\nglittered, now in one part and now in another, and what was light one\ninstant at another time was dark, so the figure itself fluctuated in its\ndistinctness; being now a thing with one arm, now with one leg, now with\ntwenty legs, now a pair of legs without a head, now a head without a\nbody: of which dissolving parts no outline would be visible in the dense\ngloom wherein they melted away. And, in the very wonder of this, it\nwould be itself again; distinct and clear as ever.", + "chunk_order_index": 10, + "full_doc_id": "doc-addb4618e1697da0445ec72a648e1f92" + }, + "chunk-bb21d58d36c6306fd8810ddd51c4a971": { + "tokens": 1200, + "content": "instant at another time was dark, so the figure itself fluctuated in its\ndistinctness; being now a thing with one arm, now with one leg, now with\ntwenty legs, now a pair of legs without a head, now a head without a\nbody: of which dissolving parts no outline would be visible in the dense\ngloom wherein they melted away. And, in the very wonder of this, it\nwould be itself again; distinct and clear as ever.\n\n'Are you the Spirit, sir, whose coming was foretold to me?' asked\nScrooge.\n\n'I am!'\n\nThe voice was soft and gentle. Singularly low, as if, instead of being\nso close behind him, it were at a distance.\n\n'Who and what are you?' Scrooge demanded.\n\n'I am the Ghost of Christmas Past.'\n\n'Long Past?' inquired Scrooge, observant of its dwarfish stature.\n\n'No. Your past.'\n\nPerhaps Scrooge could not have told anybody why, if anybody could have\nasked him; but he had a special desire to see the Spirit in his cap,\nand begged him to be covered.\n\n'What!' exclaimed the Ghost, 'would you so soon put out, with worldly\nhands, the light I give? Is it not enough that you are one of those\nwhose passions made this cap, and force me through whole trains of years\nto wear it low upon my brow?'\n\nScrooge reverently disclaimed all intention to offend or any knowledge\nof having wilfully 'bonneted' the Spirit at any period of his life. He\nthen made bold to inquire what business brought him there.\n\n'Your welfare!' said the Ghost.\n\nScrooge expressed himself much obliged, but could not help thinking that\na night of unbroken rest would have been more conducive to that end. The\nSpirit must have heard him thinking, for it said immediately--\n\n'Your reclamation, then. Take heed!'\n\nIt put out its strong hand as it spoke, and clasped him gently by the\narm.\n\n'Rise! and walk with me!'\n\nIt would have been in vain for Scrooge to plead that the weather and the\nhour were not adapted to pedestrian purposes; that bed was warm, and the\nthermometer a long way below freezing; that he was clad but lightly in\nhis slippers, dressing-gown, and nightcap; and that he had a cold upon\nhim at that time. The grasp, though gentle as a woman's hand, was not\nto be resisted. He rose; but, finding that the Spirit made towards the\nwindow, clasped its robe in supplication.\n\n'I am a mortal,' Scrooge remonstrated, 'and liable to fall.'\n\n'Bear but a touch of my hand _there_,' said the Spirit, laying it upon\nhis heart, 'and you shall be upheld in more than this!'\n\nAs the words were spoken, they passed through the wall, and stood upon\nan open country road, with fields on either hand. The city had entirely\nvanished. Not a vestige of it was to be seen. The darkness and the mist\nhad vanished with it, for it was a clear, cold, winter day, with snow\nupon the ground.\n\n'Good Heaven!' said Scrooge, clasping his hands together, as he looked\nabout him. 'I was bred in this place. I was a boy here!'\n\nThe Spirit gazed upon him mildly. Its gentle touch, though it had been\nlight and instantaneous, appeared still present to the old man's sense\nof feeling. He was conscious of a thousand odours floating in the air,\neach one connected with a thousand thoughts, and hopes, and joys, and\ncares long, long forgotten!\n\n'Your lip is trembling,' said the Ghost. 'And what is that upon your\ncheek?'\n\nScrooge muttered, with an unusual catching in his voice, that it was a\npimple; and begged the Ghost to lead him where he would.\n\n'You recollect the way?' inquired the Spirit.\n\n'Remember it!' cried Scrooge with fervour; 'I could walk it blindfold.'\n\n'Strange to have forgotten it for so many years!' observed the Ghost.\n'Let us go on.'\n\nThey walked along the road, Scrooge recognising every gate, and post,\nand tree, until a little market-town appeared in the distance, with its\nbridge, its church, and winding river. Some shaggy ponies now were seen\ntrotting towards them with boys upon their backs, who called to other\nboys in country gigs and carts, driven by farmers. All these boys were\nin great spirits, and shouted to each other, until the broad fields were\nso full of merry music, that the crisp air laughed to hear it.\n\n'These are but shadows of the things that have been,' said the Ghost.\n'They have no consciousness of us.'\n\nThe jocund travellers came on; and as they came, Scrooge knew and named\nthem every one. Why was he rejoiced beyond all bounds to see them? Why\ndid his cold eye glisten, and his heart leap up as they went past? Why\nwas he filled with gladness when he heard them give each other Merry\nChristmas, as they parted at cross-roads and by-ways for their several\nhomes? What was merry Christmas to Scrooge? Out upon merry Christmas!\nWhat good had it ever done to him?\n\n'The school is not quite deserted,' said the Ghost. 'A solitary child,\nneglected by his friends, is left there still.'\n\nScrooge said he knew it. And he sobbed.\n\nThey left the high-road by a well-remembered lane and soon approached", + "chunk_order_index": 11, + "full_doc_id": "doc-addb4618e1697da0445ec72a648e1f92" + }, + "chunk-8590d9263cd2cd4fa583c432fc54e6c3": { + "tokens": 1200, + "content": "Merry\nChristmas, as they parted at cross-roads and by-ways for their several\nhomes? What was merry Christmas to Scrooge? Out upon merry Christmas!\nWhat good had it ever done to him?\n\n'The school is not quite deserted,' said the Ghost. 'A solitary child,\nneglected by his friends, is left there still.'\n\nScrooge said he knew it. And he sobbed.\n\nThey left the high-road by a well-remembered lane and soon approached a\nmansion of dull red brick, with a little weather-cock surmounted cupola\non the roof, and a bell hanging in it. It was a large house, but one of\nbroken fortunes; for the spacious offices were little used, their walls\nwere damp and mossy, their windows broken, and their gates decayed.\nFowls clucked and strutted in the stables; and the coach-houses and\nsheds were overrun with grass. Nor was it more retentive of its ancient\nstate within; for, entering the dreary hall, and glancing through the\nopen doors of many rooms, they found them poorly furnished, cold, and\nvast. There was an earthy savour in the air, a chilly bareness in the\nplace, which associated itself somehow with too much getting up by\ncandle light and not too much to eat.\n\nThey went, the Ghost and Scrooge, across the hall, to a door at the back\nof the house. It opened before them, and disclosed a long, bare,\nmelancholy room, made barer still by lines of plain deal forms and\ndesks. At one of these a lonely boy was reading near a feeble fire; and\nScrooge sat down upon a form, and wept to see his poor forgotten self as\nhe had used to be.\n\nNot a latent echo in the house, not a squeak and scuffle from the mice\nbehind the panelling, not a drip from the half-thawed waterspout in the\ndull yard behind, not a sigh among the leafless boughs of one despondent\npoplar, not the idle swinging of an empty storehouse door, no, not a\nclicking in the fire, but fell upon the heart of Scrooge with softening\ninfluence, and gave a freer passage to his tears.\n\nThe Spirit touched him on the arm, and pointed to his younger self,\nintent upon his reading. Suddenly a man in foreign garments, wonderfully\nreal and distinct to look at, stood outside the window, with an axe\nstuck in his belt, and leading by the bridle an ass laden with wood.\n\n'Why, it's Ali Baba!' Scrooge exclaimed in ecstasy. 'It's dear old\nhonest Ali Baba! Yes, yes, I know. One Christmas-time, when yonder\nsolitary child was left here all alone, he _did_ come, for the first\ntime, just like that. Poor boy! And Valentine,' said Scrooge, 'and his\nwild brother, Orson; there they go! And what's his name, who was put\ndown in his drawers, asleep, at the gate of Damascus; don't you see him?\nAnd the Sultan's Groom turned upside down by the Genii; there he is upon\nhis head! Serve him right! I'm glad of it. What business had he to be\nmarried to the Princess?'\n\nTo hear Scrooge expending all the earnestness of his nature on such\nsubjects, in a most extraordinary voice between laughing and crying; and\nto see his heightened and excited face; would have been a surprise to\nhis business friends in the City, indeed.\n\n'There's the Parrot!' cried Scrooge. 'Green body and yellow tail, with a\nthing like a lettuce growing out of the top of his head; there he is!\nPoor Robin Crusoe he called him, when he came home again after sailing\nround the island. \"Poor Robin Crusoe, where have you been, Robin\nCrusoe?\" The man thought he was dreaming, but he wasn't. It was the\nParrot, you know. There goes Friday, running for his life to the little\ncreek! Halloa! Hoop! Halloo!'\n\nThen, with a rapidity of transition very foreign to his usual character,\nhe said, in pity for his former self, 'Poor boy!' and cried again.\n\n'I wish,' Scrooge muttered, putting his hand in his pocket, and looking\nabout him, after drying his eyes with his cuff; 'but it's too late now.'\n\n'What is the matter?' asked the Spirit.\n\n'Nothing,' said Scrooge. 'Nothing. There was a boy singing a Christmas\ncarol at my door last night. I should like to have given him something:\nthat's all.'\n\nThe Ghost smiled thoughtfully, and waved its hand, saying as it did so,\n'Let us see another Christmas!'\n\nScrooge's former self grew larger at the words, and the room became a\nlittle darker and more dirty. The panels shrunk, the windows cracked;\nfragments of plaster fell out of the ceiling, and the naked laths were\nshown instead; but how all this was brought about Scrooge knew no more\nthan you do. He only knew that it was quite correct; that everything had\nhappened so; that there he was, alone again, when all the other boys had\ngone home for the jolly holidays.\n\nHe was not reading now, but walking up and down despairingly. Scrooge\nlooked at the Ghost, and, with a mournful shaking of his head, glanced\nanxiously towards the door.\n\nIt opened; and a little girl, much", + "chunk_order_index": 12, + "full_doc_id": "doc-addb4618e1697da0445ec72a648e1f92" + }, + "chunk-c6c248858d1b13ab7ee9ca13c1aeed6b": { + "tokens": 1200, + "content": "more\nthan you do. He only knew that it was quite correct; that everything had\nhappened so; that there he was, alone again, when all the other boys had\ngone home for the jolly holidays.\n\nHe was not reading now, but walking up and down despairingly. Scrooge\nlooked at the Ghost, and, with a mournful shaking of his head, glanced\nanxiously towards the door.\n\nIt opened; and a little girl, much younger than the boy, came darting\nin, and, putting her arms about his neck, and often kissing him,\naddressed him as her 'dear, dear brother.'\n\n'I have come to bring you home, dear brother!' said the child, clapping\nher tiny hands, and bending down to laugh. 'To bring you home, home,\nhome!'\n\n'Home, little Fan?' returned the boy.\n\n'Yes!' said the child, brimful of glee. 'Home for good and all. Home for\never and ever. Father is so much kinder than he used to be, that home's\nlike heaven! He spoke so gently to me one dear night when I was going to\nbed, that I was not afraid to ask him once more if you might come home;\nand he said Yes, you should; and sent me in a coach to bring you. And\nyou're to be a man!' said the child, opening her eyes; 'and are never to\ncome back here; but first we're to be together all the Christmas long,\nand have the merriest time in all the world.'\n\n'You are quite a woman, little Fan!' exclaimed the boy.\n\nShe clapped her hands and laughed, and tried to touch his head; but,\nbeing too little laughed again, and stood on tiptoe to embrace him. Then\nshe began to drag him, in her childish eagerness, towards the door; and\nhe, nothing loath to go, accompanied her.\n\nA terrible voice in the hall cried, 'Bring down Master Scrooge's box,\nthere!' and in the hall appeared the schoolmaster himself, who glared on\nMaster Scrooge with a ferocious condescension, and threw him into a\ndreadful state of mind by shaking hands with him. He then conveyed him\nand his sister into the veriest old well of a shivering best parlour\nthat ever was seen, where the maps upon the wall, and the celestial and\nterrestrial globes in the windows, were waxy with cold. Here he produced\na decanter of curiously light wine, and a block of curiously heavy cake,\nand administered instalments of those dainties to the young people; at\nthe same time sending out a meagre servant to offer a glass of\n'something' to the postboy, who answered that he thanked the gentleman,\nbut, if it was the same tap as he had tasted before, he had rather not.\nMaster Scrooge's trunk being by this time tied on to the top of the\nchaise, the children bade the schoolmaster good-bye right willingly;\nand, getting into it, drove gaily down the garden sweep; the quick\nwheels dashing the hoar-frost and snow from off the dark leaves of the\nevergreens like spray.\n\n[Illustration: HE PRODUCED A DECANTER OF CURIOUSLY LIGHT WINE, AND A\nBLOCK OF CURIOUSLY HEAVY CAKE]\n\n'Always a delicate creature, whom a breath might have withered,' said\nthe Ghost. 'But she had a large heart!'\n\n'So she had,' cried Scrooge. 'You're right. I will not gainsay it,\nSpirit. God forbid!'\n\n'She died a woman,' said the Ghost, 'and had, as I think, children.'\n\n'One child,' Scrooge returned.\n\n'True,' said the Ghost. 'Your nephew!'\n\nScrooge seemed uneasy in his mind, and answered briefly, 'Yes.'\n\nAlthough they had but that moment left the school behind them, they were\nnow in the busy thoroughfares of a city, where shadowy passengers passed\nand re-passed; where shadowy carts and coaches battled for the way, and\nall the strife and tumult of a real city were. It was made plain enough,\nby the dressing of the shops, that here, too, it was Christmas-time\nagain; but it was evening, and the streets were lighted up.\n\nThe Ghost stopped at a certain warehouse door, and asked Scrooge if he\nknew it.\n\n'Know it!' said Scrooge. 'Was I apprenticed here?'\n\nThey went in. At sight of an old gentleman in a Welsh wig, sitting\nbehind such a high desk, that if he had been two inches taller, he must\nhave knocked his head against the ceiling, Scrooge cried in great\nexcitement--\n\n'Why, it's old Fezziwig! Bless his heart, it's Fezziwig alive again!'\n\nOld Fezziwig laid down his pen, and looked up at the clock, which\npointed to the hour of seven. He rubbed his hands; adjusted his\ncapacious waistcoat; laughed all over himself, from his shoes to his\norgan of benevolence; and called out, in a comfortable, oily, rich, fat,\njovial voice--\n\n'Yo ho, there! Ebenezer! Dick!'\n\nScrooge's former self, now grown a young man, came briskly in,\naccompanied by his fellow-'prentice.\n\n'Dick Wilkins, to be sure!' said Scrooge to the Ghost. 'Bless me, yes.\nThere he is. He was very much attached to me, was Dick", + "chunk_order_index": 13, + "full_doc_id": "doc-addb4618e1697da0445ec72a648e1f92" + }, + "chunk-8bc1edd983869352d14cf0886a9175a7": { + "tokens": 1200, + "content": "benevolence; and called out, in a comfortable, oily, rich, fat,\njovial voice--\n\n'Yo ho, there! Ebenezer! Dick!'\n\nScrooge's former self, now grown a young man, came briskly in,\naccompanied by his fellow-'prentice.\n\n'Dick Wilkins, to be sure!' said Scrooge to the Ghost. 'Bless me, yes.\nThere he is. He was very much attached to me, was Dick. Poor Dick! Dear,\ndear!'\n\n'Yo ho, my boys!' said Fezziwig. 'No more work to-night. Christmas Eve,\nDick. Christmas, Ebenezer! Let's have the shutters up,' cried old\nFezziwig, with a sharp clap of his hands, 'before a man can say Jack\nRobinson!'\n\nYou wouldn't believe how those two fellows went at it! They charged into\nthe street with the shutters--one, two, three--had 'em up in their\nplaces--four, five, six--barred 'em and pinned 'em--seven, eight,\nnine--and came back before you could have got to twelve, panting like\nracehorses.\n\n'Hilli-ho!' cried old Fezziwig, skipping down from the high desk with\nwonderful agility. 'Clear away, my lads, and let's have lots of room\nhere! Hilli-ho, Dick! Chirrup, Ebenezer!'\n\nClear away! There was nothing they wouldn't have cleared away, or\ncouldn't have cleared away, with old Fezziwig looking on. It was done in\na minute. Every movable was packed off, as if it were dismissed from\npublic life for evermore; the floor was swept and watered, the lamps\nwere trimmed, fuel was heaped upon the fire; and the warehouse was as\nsnug, and warm, and dry, and bright a ball-room as you would desire to\nsee upon a winter's night.\n\nIn came a fiddler with a music-book, and went up to the lofty desk, and\nmade an orchestra of it, and tuned like fifty stomach-aches. In came\nMrs. Fezziwig, one vast substantial smile. In came the three Miss\nFezziwigs, beaming and lovable. In came the six young followers whose\nhearts they broke. In came all the young men and women employed in the\nbusiness. In came the housemaid, with her cousin the baker. In came the\ncook with her brother's particular friend the milkman. In came the boy\nfrom over the way, who was suspected of not having board enough from his\nmaster; trying to hide himself behind the girl from next door but one,\nwho was proved to have had her ears pulled by her mistress. In they all\ncame, one after another; some shyly, some boldly, some gracefully, some\nawkwardly, some pushing, some pulling; in they all came, any how and\nevery how. Away they all went, twenty couple at once; hands half round\nand back again the other way; down the middle and up again; round and\nround in various stages of affectionate grouping; old top couple always\nturning up in the wrong place; new top couple starting off again as soon\nas they got there; all top couples at last, and not a bottom one to help\nthem! When this result was brought about, old Fezziwig, clapping his\nhands to stop the dance, cried out, 'Well done!' and the fiddler plunged\nhis hot face into a pot of porter, especially provided for that purpose.\nBut, scorning rest upon his reappearance, he instantly began again,\nthough there were no dancers yet, as if the other fiddler had been\ncarried home, exhausted, on a shutter, and he were a bran-new man\nresolved to beat him out of sight, or perish.\n\n[Illustration: _Then old Fezziwig stood out to dance with Mrs.\nFezziwig_]\n\nThere were more dances, and there were forfeits, and more dances, and\nthere was cake, and there was negus, and there was a great piece of Cold\nRoast, and there was a great piece of Cold Boiled, and there were\nmince-pies, and plenty of beer. But the great effect of the evening came\nafter the Roast and Boiled, when the fiddler (an artful dog, mind! The\nsort of man who knew his business better than you or I could have told\nit him!) struck up 'Sir Roger de Coverley.' Then old Fezziwig stood\nout to dance with Mrs. Fezziwig. Top couple, too; with a good stiff\npiece of work cut out for them; three or four and twenty pair of\npartners; people who were not to be trifled with; people who would\ndance, and had no notion of walking.\n\nBut if they had been twice as many--ah! four times--old Fezziwig would\nhave been a match for them, and so would Mrs. Fezziwig. As to _her_, she\nwas worthy to be his partner in every sense of the term. If that's not\nhigh praise, tell me higher, and I'll use it. A positive light appeared\nto issue from Fezziwig's calves. They shone in every part of the dance\nlike moons. You couldn't have predicted, at any given time, what would\nbecome of them next. And when old Fezziwig and Mrs. Fezziwig had gone\nall through the dance; advance and retire, both hands to your partner,\nbow and curtsy, cork-screw, thread-the-needle", + "chunk_order_index": 14, + "full_doc_id": "doc-addb4618e1697da0445ec72a648e1f92" + }, + "chunk-b2f98bc7abb0c67d4c86055c7fd72218": { + "tokens": 1200, + "content": "me higher, and I'll use it. A positive light appeared\nto issue from Fezziwig's calves. They shone in every part of the dance\nlike moons. You couldn't have predicted, at any given time, what would\nbecome of them next. And when old Fezziwig and Mrs. Fezziwig had gone\nall through the dance; advance and retire, both hands to your partner,\nbow and curtsy, cork-screw, thread-the-needle, and back again to your\nplace: Fezziwig 'cut'--cut so deftly, that he appeared to wink with his\nlegs, and came upon his feet again without a stagger.\n\nWhen the clock struck eleven, this domestic ball broke up. Mr. and Mrs.\nFezziwig took their stations, one on either side the door, and, shaking\nhands with every person individually as he or she went out, wished him\nor her a Merry Christmas. When everybody had retired but the two\n'prentices, they did the same to them; and thus the cheerful voices died\naway, and the lads were left to their beds; which were under a counter\nin the back-shop.\n\nDuring the whole of this time Scrooge had acted like a man out of his\nwits. His heart and soul were in the scene, and with his former self. He\ncorroborated everything, remembered everything, enjoyed everything, and\nunderwent the strangest agitation. It was not until now, when the bright\nfaces of his former self and Dick were turned from them, that he\nremembered the Ghost, and became conscious that it was looking full upon\nhim, while the light upon its head burnt very clear.\n\n'A small matter,' said the Ghost, 'to make these silly folks so full of\ngratitude.'\n\n'Small!' echoed Scrooge.\n\nThe Spirit signed to him to listen to the two apprentices, who were\npouring out their hearts in praise of Fezziwig; and when he had done so,\nsaid:\n\n'Why! Is it not? He has spent but a few pounds of your mortal money:\nthree or four, perhaps. Is that so much that he deserves this praise?'\n\n'It isn't that,' said Scrooge, heated by the remark, and speaking\nunconsciously like his former, not his latter self. 'It isn't that,\nSpirit. He has the power to render us happy or unhappy; to make our\nservice light or burdensome; a pleasure or a toil. Say that his power\nlies in words and looks; in things so slight and insignificant that it\nis impossible to add and count 'em up: what then? The happiness he gives\nis quite as great as if it cost a fortune.'\n\nHe felt the Spirit's glance, and stopped.\n\n'What is the matter?' asked the Ghost.\n\n'Nothing particular,' said Scrooge.\n\n'Something, I think?' the Ghost insisted.\n\n'No,' said Scrooge, 'no. I should like to be able to say a word or two\nto my clerk just now. That's all.'\n\nHis former self turned down the lamps as he gave utterance to the wish;\nand Scrooge and the Ghost again stood side by side in the open air.\n\n'My time grows short,' observed the Spirit. 'Quick!'\n\nThis was not addressed to Scrooge, or to any one whom he could see, but\nit produced an immediate effect. For again Scrooge saw himself. He was\nolder now; a man in the prime of life. His face had not the harsh and\nrigid lines of later years; but it had begun to wear the signs of care\nand avarice. There was an eager, greedy, restless motion in the eye,\nwhich showed the passion that had taken root, and where the shadow of\nthe growing tree would fall.\n\nHe was not alone, but sat by the side of a fair young girl in a mourning\ndress: in whose eyes there were tears, which sparkled in the light that\nshone out of the Ghost of Christmas Past.\n\n'It matters little,' she said softly. 'To you, very little. Another idol\nhas displaced me; and, if it can cheer and comfort you in time to come\nas I would have tried to do, I have no just cause to grieve.'\n\n'What Idol has displaced you?' he rejoined.\n\n'A golden one.'\n\n'This is the even-handed dealing of the world!' he said. 'There is\nnothing on which it is so hard as poverty; and there is nothing it\nprofesses to condemn with such severity as the pursuit of wealth!'\n\n'You fear the world too much,' she answered gently. 'All your other\nhopes have merged into the hope of being beyond the chance of its sordid\nreproach. I have seen your nobler aspirations fall off one by one, until\nthe master passion, Gain, engrosses you. Have I not?'\n\n'What then?' he retorted. 'Even if I have grown so much wiser, what\nthen? I am not changed towards you.'\n\nShe shook her head.\n\n'Am I?'\n\n'Our contract is an old one. It was made when we were both poor, and\ncontent to be so, until, in good season, we could improve our worldly\nfortune by our patient industry. You _are_ changed. When it was made you\nwere another man.'\n\n'I was a boy,' he said impatiently.\n\n'Your own feeling tells you that you were not what you are,' she\nreturned. 'I am. That which promised happiness when we were one in heart\nis fraught with misery now that we are two. How often and how keenly I\nhave thought of this I will", + "chunk_order_index": 15, + "full_doc_id": "doc-addb4618e1697da0445ec72a648e1f92" + }, + "chunk-54bdd22db1f84a965b5f4c06c9216d8d": { + "tokens": 1200, + "content": "in good season, we could improve our worldly\nfortune by our patient industry. You _are_ changed. When it was made you\nwere another man.'\n\n'I was a boy,' he said impatiently.\n\n'Your own feeling tells you that you were not what you are,' she\nreturned. 'I am. That which promised happiness when we were one in heart\nis fraught with misery now that we are two. How often and how keenly I\nhave thought of this I will not say. It is enough that I _have_ thought\nof it, and can release you.'\n\n'Have I ever sought release?'\n\n'In words. No. Never.'\n\n'In what, then?'\n\n'In a changed nature; in an altered spirit; in another atmosphere of\nlife; another Hope as its great end. In everything that made my love of\nany worth or value in your sight. If this had never been between us,'\nsaid the girl, looking mildly, but with steadiness, upon him; 'tell me,\nwould you seek me out and try to win me now? Ah, no!'\n\nHe seemed to yield to the justice of this supposition in spite of\nhimself. But he said, with a struggle, 'You think not.'\n\n'I would gladly think otherwise if I could,' she answered. 'Heaven\nknows! When _I_ have learned a Truth like this, I know how strong and\nirresistible it must be. But if you were free to-day, to-morrow,\nyesterday, can even I believe that you would choose a dowerless\ngirl--you who, in your very confidence with her, weigh everything by\nGain: or, choosing her, if for a moment you were false enough to your\none guiding principle to do so, do I not know that your repentance and\nregret would surely follow? I do; and I release you. With a full heart,\nfor the love of him you once were.'\n\n[Illustration: SHE LEFT HIM, AND THEY PARTED]\n\nHe was about to speak; but, with her head turned from him, she resumed:\n\n'You may--the memory of what is past half makes me hope you will--have\npain in this. A very, very brief time, and you will dismiss the\nrecollection of it gladly, as an unprofitable dream, from which it\nhappened well that you awoke. May you be happy in the life you have\nchosen!'\n\nShe left him, and they parted.\n\n'Spirit!' said Scrooge, 'show me no more! Conduct me home. Why do you\ndelight to torture me?'\n\n'One shadow more!' exclaimed the Ghost.\n\n'No more!' cried Scrooge. 'No more! I don't wish to see it. Show me no\nmore!'\n\nBut the relentless Ghost pinioned him in both his arms, and forced him\nto observe what happened next.\n\nThey were in another scene and place; a room, not very large or\nhandsome, but full of comfort. Near to the winter fire sat a beautiful\nyoung girl, so like that last that Scrooge believed it was the same,\nuntil he saw _her_, now a comely matron, sitting opposite her daughter.\nThe noise in this room was perfectly tumultuous, for there were more\nchildren there than Scrooge in his agitated state of mind could count;\nand, unlike the celebrated herd in the poem, they were not forty\nchildren conducting themselves like one, but every child was conducting\nitself like forty. The consequences were uproarious beyond belief; but\nno one seemed to care; on the contrary, the mother and daughter laughed\nheartily, and enjoyed it very much; and the latter, soon beginning to\nmingle in the sports, got pillaged by the young brigands most\nruthlessly. What would I not have given to be one of them! Though I\nnever could have been so rude, no, no! I wouldn't for the wealth of all\nthe world have crushed that braided hair, and torn it down; and for the\nprecious little shoe, I wouldn't have plucked it off, God bless my soul!\nto save my life. As to measuring her waist in sport, as they did, bold\nyoung brood, I couldn't have done it; I should have expected my arm to\nhave grown round it for a punishment, and never come straight again. And\nyet I should have dearly liked, I own, to have touched her lips; to have\nquestioned her, that she might have opened them; to have looked upon the\nlashes of her downcast eyes, and never raised a blush; to have let loose\nwaves of hair, an inch of which would be a keepsake beyond price: in\nshort, I should have liked, I do confess, to have had the lightest\nlicense of a child, and yet to have been man enough to know its value.\n\n[Illustration: _A flushed and boisterous group_]\n\nBut now a knocking at the door was heard, and such a rush immediately\nensued that she, with laughing face and plundered dress, was borne\ntowards it the centre of a flushed and boisterous group, just in time to\ngreet the father, who came home attended by a man laden with Christmas\ntoys and presents. Then the shouting and the struggling, and the\nonslaught that was made on the defenceless porter! The scaling him, with\nchairs for ladders, to dive into his pockets, despoil him of\nbrown-paper parcels, hold on tight by his cravat, hug him round his\nneck, pummel his back, and kick his legs in irrepressible", + "chunk_order_index": 16, + "full_doc_id": "doc-addb4618e1697da0445ec72a648e1f92" + }, + "chunk-da2472b4ef2a535b62908f14d0fb0ca9": { + "tokens": 1200, + "content": "greet the father, who came home attended by a man laden with Christmas\ntoys and presents. Then the shouting and the struggling, and the\nonslaught that was made on the defenceless porter! The scaling him, with\nchairs for ladders, to dive into his pockets, despoil him of\nbrown-paper parcels, hold on tight by his cravat, hug him round his\nneck, pummel his back, and kick his legs in irrepressible affection! The\nshouts of wonder and delight with which the development of every package\nwas received! The terrible announcement that the baby had been taken in\nthe act of putting a doll's frying pan into his mouth, and was more than\nsuspected of having swallowed a fictitious turkey, glued on a wooden\nplatter! The immense relief of finding this a false alarm! The joy, and\ngratitude, and ecstasy! They are all indescribable alike. It is enough\nthat, by degrees, the children and their emotions got out of the\nparlour, and, by one stair at a time, up to the top of the house, where\nthey went to bed, and so subsided.\n\nAnd now Scrooge looked on more attentively than ever, when the master of\nthe house, having his daughter leaning fondly on him, sat down with her\nand her mother at his own fireside; and when he thought that such\nanother creature, quite as graceful and as full of promise, might have\ncalled him father, and been a spring-time in the haggard winter of his\nlife, his sight grew very dim indeed.\n\n'Belle,' said the husband, turning to his wife with a smile, 'I saw an\nold friend of yours this afternoon.'\n\n'Who was it?'\n\n'Guess!'\n\n'How can I? Tut, don't I know?' she added in the same breath, laughing\nas he laughed. 'Mr. Scrooge.'\n\n'Mr. Scrooge it was. I passed his office window; and as it was not shut\nup, and he had a candle inside, I could scarcely help seeing him. His\npartner lies upon the point of death, I hear; and there he sat alone.\nQuite alone in the world, I do believe.'\n\n'Spirit!' said Scrooge in a broken voice, 'remove me from this place.'\n\n'I told you these were shadows of the things that have been,' said the\nGhost. 'That they are what they are do not blame me!'\n\n'Remove me!' Scrooge exclaimed, 'I cannot bear it!'\n\nHe turned upon the Ghost, and seeing that it looked upon him with a\nface, in which in some strange way there were fragments of all the faces\nit had shown him, wrestled with it.\n\n'Leave me! Take me back. Haunt me no longer!'\n\nIn the struggle, if that can be called a struggle in which the Ghost\nwith no visible resistance on its own part was undisturbed by any effort\nof its adversary, Scrooge observed that its light was burning high and\nbright; and dimly connecting that with its influence over him, he seized\nthe extinguisher-cap, and by a sudden action pressed it down upon its\nhead.\n\n[Illustration: _Laden with Christmas toys and presents_]\n\nThe Spirit dropped beneath it, so that the extinguisher covered its\nwhole form; but though Scrooge pressed it down with all his force, he\ncould not hide the light, which streamed from under it, in an unbroken\nflood upon the ground.\n\nHe was conscious of being exhausted, and overcome by an irresistible\ndrowsiness; and, further, of being in his own bedroom. He gave the cap a\nparting squeeze, in which his hand relaxed; and had barely time to reel\nto bed, before he sank into a heavy sleep.\n\n[Illustration]\n\n\nSTAVE THREE\n\n\n[Illustration]\n\n\n\n\nTHE SECOND OF THE THREE SPIRITS\n\n\nAwaking in the middle of a prodigiously tough snore, and sitting up in\nbed to get his thoughts together, Scrooge had no occasion to be told\nthat the bell was again upon the stroke of One. He felt that he was\nrestored to consciousness in the right nick of time, for the especial\npurpose of holding a conference with the second messenger despatched to\nhim through Jacob Marley's intervention. But finding that he turned\nuncomfortably cold when he began to wonder which of his curtains this\nnew spectre would draw back, he put them every one aside with his own\nhands, and, lying down again, established a sharp look-out all round the\nbed. For he wished to challenge the Spirit on the moment of its\nappearance, and did not wish to be taken by surprise and made nervous.\n\nGentlemen of the free-and-easy sort, who plume themselves on being\nacquainted with a move or two, and being usually equal to the time of\nday, express the wide range of their capacity for adventure by observing\nthat they are good for anything from pitch-and-toss to manslaughter;\nbetween which opposite extremes, no doubt, there lies a tolerably wide\nand comprehensive range of subjects. Without venturing for Scrooge quite\nas hardily as this, I don't mind calling on you to believe that he was\nready for a good broad field of strange appearances, and that nothing\nbetween a baby and a rhinoceros would have astonished him very much.\n\nNow, being prepared for almost anything, he was not by any means\nprepared for nothing; and consequently, when the bell struck One, and no\nshape appeared, he was taken with a violent fit of trembling. Five", + "chunk_order_index": 17, + "full_doc_id": "doc-addb4618e1697da0445ec72a648e1f92" + }, + "chunk-843b5b2f944c7413d9ca876e2e2f151f": { + "tokens": 1200, + "content": "uring for Scrooge quite\nas hardily as this, I don't mind calling on you to believe that he was\nready for a good broad field of strange appearances, and that nothing\nbetween a baby and a rhinoceros would have astonished him very much.\n\nNow, being prepared for almost anything, he was not by any means\nprepared for nothing; and consequently, when the bell struck One, and no\nshape appeared, he was taken with a violent fit of trembling. Five\nminutes, ten minutes, a quarter of an hour went by, yet nothing came.\nAll this time he lay upon his bed, the very core and centre of a blaze\nof ruddy light, which streamed upon it when the clock proclaimed the\nhour; and which, being only light, was more alarming than a dozen\nghosts, as he was powerless to make out what it meant, or would be at;\nand was sometimes apprehensive that he might be at that very moment an\ninteresting case of spontaneous combustion, without having the\nconsolation of knowing it. At last, however, he began to think--as you\nor I would have thought at first; for it is always the person not in the\npredicament who knows what ought to have been done in it, and would\nunquestionably have done it too--at last, I say, he began to think that\nthe source and secret of this ghostly light might be in the adjoining\nroom, from whence, on further tracing it, it seemed to shine. This idea\ntaking full possession of his mind, he got up softly, and shuffled in\nhis slippers to the door.\n\nThe moment Scrooge's hand was on the lock a strange voice called him by\nhis name, and bade him enter. He obeyed.\n\nIt was his own room. There was no doubt about that. But it had undergone\na surprising transformation. The walls and ceiling were so hung with\nliving green, that it looked a perfect grove; from every part of which\nbright gleaming berries glistened. The crisp leaves of holly, mistletoe,\nand ivy reflected back the light, as if so many little mirrors had been\nscattered there; and such a mighty blaze went roaring up the chimney as\nthat dull petrification of a hearth had never known in Scrooge's time,\nor Marley's, or for many and many a winter season gone. Heaped up on the\nfloor, to form a kind of throne, were turkeys, geese, game, poultry,\nbrawn, great joints of meat, sucking-pigs, long wreaths of sausages,\nmince-pies, plum-puddings, barrels of oysters, red-hot chestnuts,\ncherry-cheeked apples, juicy oranges, luscious pears, immense\ntwelfth-cakes, and seething bowls of punch, that made the chamber dim\nwith their delicious steam. In easy state upon this couch there sat a\njolly Giant, glorious to see; who bore a glowing torch, in shape not\nunlike Plenty's horn, and held it up, high up, to shed its light on\nScrooge as he came peeping round the door.\n\n'Come in!' exclaimed the Ghost. 'Come in! and know me better, man!'\n\nScrooge entered timidly, and hung his head before this Spirit. He was\nnot the dogged Scrooge he had been; and though the Spirit's eyes were\nclear and kind, he did not like to meet them.\n\n'I am the Ghost of Christmas Present,' said the Spirit. 'Look upon me!'\n\nScrooge reverently did so. It was clothed in one simple deep green robe,\nor mantle, bordered with white fur. This garment hung so loosely on the\nfigure, that its capacious breast was bare, as if disdaining to be\nwarded or concealed by any artifice. Its feet, observable beneath the\nample folds of the garment, were also bare; and on its head it wore no\nother covering than a holly wreath, set here and there with shining\nicicles. Its dark-brown curls were long and free; free as its genial\nface, its sparkling eye, its open hand, its cheery voice, its\nunconstrained demeanour, and its joyful air. Girded round its middle was\nan antique scabbard: but no sword was in it, and the ancient sheath was\neaten up with rust.\n\n'You have never seen the like of me before!' exclaimed the Spirit.\n\n'Never,' Scrooge made answer to it.\n\n'Have never walked forth with the younger members of my family; meaning\n(for I am very young) my elder brothers born in these later years?'\npursued the Phantom.\n\n'I don't think I have,' said Scrooge. 'I am afraid I have not. Have you\nhad many brothers, Spirit?'\n\n'More than eighteen hundred,' said the Ghost.\n\n'A tremendous family to provide for,' muttered Scrooge.\n\nThe Ghost of Christmas Present rose.\n\n'Spirit,' said Scrooge submissively, 'conduct me where you will. I went\nforth last night on compulsion, and I learned a lesson which is working\nnow. To-night if you have aught to teach me, let me profit by it.'\n\n'Touch my robe!'\n\nScrooge did as he was told, and held it fast.\n\nHolly, mistletoe, red berries, ivy, turkeys, geese, game, poultry,\nbrawn, meat, pigs, sausages, oysters, pies, puddings, fruit, and punch,\nall vanished instantly. So did the room, the fire, the ruddy glow, the\nhour of night, and they stood in the city", + "chunk_order_index": 18, + "full_doc_id": "doc-addb4618e1697da0445ec72a648e1f92" + }, + "chunk-99b0ec7f7e006561352b5d65e849611d": { + "tokens": 1200, + "content": ", let me profit by it.'\n\n'Touch my robe!'\n\nScrooge did as he was told, and held it fast.\n\nHolly, mistletoe, red berries, ivy, turkeys, geese, game, poultry,\nbrawn, meat, pigs, sausages, oysters, pies, puddings, fruit, and punch,\nall vanished instantly. So did the room, the fire, the ruddy glow, the\nhour of night, and they stood in the city streets on Christmas morning,\nwhere (for the weather was severe) the people made a rough, but brisk\nand not unpleasant kind of music, in scraping the snow from the pavement\nin front of their dwellings, and from the tops of their houses, whence\nit was mad delight to the boys to see it come plumping down into the\nroad below, and splitting into artificial little snowstorms.\n\nThe house-fronts looked black enough, and the windows blacker,\ncontrasting with the smooth white sheet of snow upon the roofs, and with\nthe dirtier snow upon the ground; which last deposit had been ploughed\nup in deep furrows by the heavy wheels of carts and waggons: furrows\nthat crossed and recrossed each other hundreds of times where the great\nstreets branched off; and made intricate channels, hard to trace in the\nthick yellow mud and icy water. The sky was gloomy, and the shortest\nstreets were choked up with a dingy mist, half thawed, half frozen,\nwhose heavier particles descended in a shower of sooty atoms, as if all\nthe chimneys in Great Britain had, by one consent, caught fire, and were\nblazing away to their dear heart's content. There was nothing very\ncheerful in the climate or the town, and yet was there an air of\ncheerfulness abroad that the clearest summer air and brightest summer\nsun might have endeavoured to diffuse in vain.\n\n[Illustration: THERE WAS NOTHING VERY CHEERFUL IN THE CLIMATE]\n\nFor the people who were shovelling away on the house-tops were jovial\nand full of glee; calling out to one another from the parapets, and now\nand then exchanging a facetious snowball--better-natured missile far\nthan many a wordy jest--laughing heartily if it went right, and not less\nheartily if it went wrong. The poulterers' shops were still half open,\nand the fruiterers' were radiant in their glory. There were great,\nround, pot-bellied baskets of chestnuts, shaped like the waistcoats of\njolly old gentlemen, lolling at the doors, and tumbling out into the\nstreet in their apoplectic opulence: There were ruddy, brown-faced,\nbroad-girthed Spanish onions, shining in the fatness of their growth\nlike Spanish friars, and winking from their shelves in wanton slyness at\nthe girls as they went by, and glanced demurely at the hung-up\nmistletoe. There were pears and apples clustered high in blooming\npyramids; there were bunches of grapes, made, in the shopkeepers'\nbenevolence, to dangle from conspicuous hooks that people's mouths might\nwater gratis as they passed; there were piles of filberts, mossy and\nbrown, recalling, in their fragrance, ancient walks among the woods, and\npleasant shufflings ankle deep through withered leaves; there were\nNorfolk Biffins, squab and swarthy, setting off the yellow of the\noranges and lemons, and, in the great compactness of their juicy\npersons, urgently entreating and beseeching to be carried home in paper\nbags and eaten after dinner. The very gold and silver fish, set forth\namong these choice fruits in a bowl, though members of a dull and\nstagnant-blooded race, appeared to know that there was something going\non; and, to a fish, went gasping round and round their little world in\nslow and passionless excitement.\n\nThe Grocers'! oh, the Grocers'! nearly closed, with perhaps two shutters\ndown, or one; but through those gaps such glimpses! It was not alone\nthat the scales descending on the counter made a merry sound, or that\nthe twine and roller parted company so briskly, or that the canisters\nwere rattled up and down like juggling tricks, or even that the blended\nscents of tea and coffee were so grateful to the nose, or even that the\nraisins were so plentiful and rare, the almonds so extremely white, the\nsticks of cinnamon so long and straight, the other spices so delicious,\nthe candied fruits so caked and spotted with molten sugar as to make the\ncoldest lookers-on feel faint, and subsequently bilious. Nor was it that\nthe figs were moist and pulpy, or that the French plums blushed in\nmodest tartness from their highly-decorated boxes, or that everything\nwas good to eat and in its Christmas dress; but the customers were all\nso hurried and so eager in the hopeful promise of the day, that they\ntumbled up against each other at the door, crashing their wicker baskets\nwildly, and left their purchases upon the counter, and came running\nback to fetch them, and committed hundreds of the like mistakes, in the\nbest humour possible; while the grocer and his people were so frank and\nfresh, that the polished hearts with which they fastened their aprons\nbehind might have been their own, worn outside for general inspection,\nand for Christmas daws to peck at if they chose.\n\nBut soon", + "chunk_order_index": 19, + "full_doc_id": "doc-addb4618e1697da0445ec72a648e1f92" + }, + "chunk-b0f459f5af1c3a5e0b92cbe4ee48b77b": { + "tokens": 1200, + "content": "other at the door, crashing their wicker baskets\nwildly, and left their purchases upon the counter, and came running\nback to fetch them, and committed hundreds of the like mistakes, in the\nbest humour possible; while the grocer and his people were so frank and\nfresh, that the polished hearts with which they fastened their aprons\nbehind might have been their own, worn outside for general inspection,\nand for Christmas daws to peck at if they chose.\n\nBut soon the steeples called good people all to church and chapel, and\naway they came, flocking through the streets in their best clothes and\nwith their gayest faces. And at the same time there emerged, from scores\nof by-streets, lanes, and nameless turnings, innumerable people,\ncarrying their dinners to the bakers' shops. The sight of these poor\nrevellers appeared to interest the Spirit very much, for he stood with\nScrooge beside him in a baker's doorway, and, taking off the covers as\ntheir bearers passed, sprinkled incense on their dinners from his torch.\nAnd it was a very uncommon kind of torch, for once or twice, when there\nwere angry words between some dinner-carriers who had jostled each\nother, he shed a few drops of water on them from it, and their\ngood-humour was restored directly. For they said, it was a shame to\nquarrel upon Christmas Day. And so it was! God love it, so it was!\n\nIn time the bells ceased, and the bakers were shut up; and yet there was\na genial shadowing forth of all these dinners, and the progress of their\ncooking, in the thawed blotch of wet above each baker's oven, where the\npavement smoked as if its stones were cooking too.\n\n'Is there a peculiar flavour in what you sprinkle from your torch?'\nasked Scrooge.\n\n'There is. My own.'\n\n'Would it apply to any kind of dinner on this day?' asked Scrooge.\n\n'To any kindly given. To a poor one most.'\n\n'Why to a poor one most?' asked Scrooge.\n\n'Because it needs it most.'\n\n'Spirit!' said Scrooge, after a moment's thought, 'I wonder you, of all\nthe beings in the many worlds about us, should desire to cramp these\npeople's opportunities of innocent enjoyment.\n\n'I!' cried the Spirit.\n\n'You would deprive them of their means of dining every seventh day,\noften the only day on which they can be said to dine at all,' said\nScrooge; 'wouldn't you?'\n\n'I!' cried the Spirit.\n\n'You seek to close these places on the Seventh Day,' said Scrooge. 'And\nit comes to the same thing.'\n\n'I seek!' exclaimed the Spirit.\n\n'Forgive me if I am wrong. It has been done in your name, or at least in\nthat of your family,' said Scrooge.\n\n'There are some upon this earth of yours,' returned the Spirit, 'who\nlay claim to know us, and who do their deeds of passion, pride,\nill-will, hatred, envy, bigotry, and selfishness in our name, who are as\nstrange to us, and all our kith and kin, as if they had never lived.\nRemember that, and charge their doings on themselves, not us.'\n\nScrooge promised that he would; and they went on, invisible, as they had\nbeen before, into the suburbs of the town. It was a remarkable quality\nof the Ghost (which Scrooge had observed at the baker's), that\nnotwithstanding his gigantic size, he could accommodate himself to any\nplace with ease; and that he stood beneath a low roof quite as\ngracefully and like a supernatural creature as it was possible he could\nhave done in any lofty hall.\n\nAnd perhaps it was the pleasure the good Spirit had in showing off this\npower of his, or else it was his own kind, generous, hearty nature, and\nhis sympathy with all poor men, that led him straight to Scrooge's\nclerk's; for there he went, and took Scrooge with him, holding to his\nrobe; and on the threshold of the door the Spirit smiled, and stopped to\nbless Bob Cratchit's dwelling with the sprinklings of his torch. Think\nof that! Bob had but fifteen 'Bob' a week himself; he pocketed on\nSaturdays but fifteen copies of his Christian name; and yet the Ghost of\nChristmas Present blessed his four-roomed house!\n\nThen up rose Mrs. Cratchit, Cratchit's wife, dressed out but poorly in a\ntwice-turned gown, but brave in ribbons, which are cheap, and make a\ngoodly show for sixpence; and she laid the cloth, assisted by Belinda\nCratchit, second of her daughters, also brave in ribbons; while Master\nPeter Cratchit plunged a fork into the saucepan of potatoes, and getting\nthe corners of his monstrous shirt-collar (Bob's private property,\nconferred upon his son and heir in honour of the day,) into his mouth,\nrejoiced to find himself so gallantly attired, and yearned to show his\nlinen in the fashionable Parks. And now two smaller Cratchits, boy and\ngirl, came tearing in, screaming that outside the baker's they had smelt\nthe goose, and known it for their own; and basking in luxurious thoughts\nof sage and onion, these young Cratchits danced about the table, and\nexalted Master Peter Cratchit to the skies, while he (not proud,\nalthough his collars nearly", + "chunk_order_index": 20, + "full_doc_id": "doc-addb4618e1697da0445ec72a648e1f92" + }, + "chunk-7e2e7ebcc19a53b399dc03aded4743e7": { + "tokens": 1200, + "content": "antly attired, and yearned to show his\nlinen in the fashionable Parks. And now two smaller Cratchits, boy and\ngirl, came tearing in, screaming that outside the baker's they had smelt\nthe goose, and known it for their own; and basking in luxurious thoughts\nof sage and onion, these young Cratchits danced about the table, and\nexalted Master Peter Cratchit to the skies, while he (not proud,\nalthough his collars nearly choked him) blew the fire, until the slow\npotatoes, bubbling up, knocked loudly at the saucepan-lid to be let out\nand peeled.\n\n'What has ever got your precious father, then?' said Mrs. Cratchit. 'And\nyour brother, Tiny Tim? And Martha warn't as late last Christmas Day by\nhalf an hour!'\n\n'Here's Martha, mother!' said a girl, appearing as she spoke.\n\n'Here's Martha, mother!' cried the two young Cratchits. 'Hurrah! There's\n_such_ a goose, Martha!'\n\n'Why, bless your heart alive, my dear, how late you are!' said Mrs.\nCratchit, kissing her a dozen times, and taking off her shawl and bonnet\nfor her with officious zeal.\n\n'We'd a deal of work to finish up last night,' replied the girl, 'and\nhad to clear away this morning, mother!'\n\n'Well! never mind so long as you are come,' said Mrs. Cratchit. 'Sit ye\ndown before the fire, my dear, and have a warm, Lord bless ye!'\n\n'No, no! There's father coming,' cried the two young Cratchits, who were\neverywhere at once. 'Hide, Martha, hide!'\n\nSo Martha hid herself, and in came little Bob, the father, with at least\nthree feet of comforter, exclusive of the fringe, hanging down before\nhim, and his threadbare clothes darned up and brushed to look\nseasonable, and Tiny Tim upon his shoulder. Alas for Tiny Tim, he bore a\nlittle crutch, and had his limbs supported by an iron frame!\n\n'Why, where's our Martha?' cried Bob Cratchit, looking round.\n\n'Not coming,' said Mrs. Cratchit.\n\n'Not coming!' said Bob, with a sudden declension in his high spirits;\nfor he had been Tim's blood-horse all the way from church, and had come\nhome rampant. 'Not coming upon Christmas Day!'\n\nMartha didn't like to see him disappointed, if it were only in joke; so\nshe came out prematurely from behind the closet door, and ran into his\narms, while the two young Cratchits hustled Tiny Tim, and bore him off\ninto the wash-house, that he might hear the pudding singing in the\ncopper.\n\n'And how did little Tim behave?' asked Mrs. Cratchit when she had\nrallied Bob on his credulity, and Bob had hugged his daughter to his\nheart's content.\n\n'As good as gold,' said Bob, 'and better. Somehow, he gets thoughtful,\nsitting by himself so much, and thinks the strangest things you ever\nheard. He told me, coming home, that he hoped the people saw him in the\nchurch, because he was a cripple, and it might be pleasant to them to\nremember upon Christmas Day who made lame beggars walk and blind men\nsee.'\n\nBob's voice was tremulous when he told them this, and trembled more when\nhe said that Tiny Tim was growing strong and hearty.\n\nHis active little crutch was heard upon the floor, and back came Tiny\nTim before another word was spoken, escorted by his brother and\nsister to his stool beside the fire; and while Bob, turning up his\ncuffs--as if, poor fellow, they were capable of being made more\nshabby--compounded some hot mixture in a jug with gin and lemons, and\nstirred it round and round, and put it on the hob to simmer, Master\nPeter and the two ubiquitous young Cratchits went to fetch the goose,\nwith which they soon returned in high procession.\n\n[Illustration]\n\nSuch a bustle ensued that you might have thought a goose the rarest of\nall birds; a feathered phenomenon, to which a black swan was a matter of\ncourse--and, in truth, it was something very like it in that house. Mrs.\nCratchit made the gravy (ready beforehand in a little saucepan) hissing\nhot; Master Peter mashed the potatoes with incredible vigour; Miss\nBelinda sweetened up the apple sauce; Martha dusted the hot plates; Bob\ntook Tiny Tim beside him in a tiny corner at the table; the two young\nCratchits set chairs for everybody, not forgetting themselves, and,\nmounting guard upon their posts, crammed spoons into their mouths, lest\nthey should shriek for goose before their turn came to be helped. At\nlast the dishes were set on, and grace was said. It was succeeded by a\nbreathless pause, as Mrs. Cratchit, looking slowly all along the\ncarving-knife, prepared to plunge it in the breast; but when she did,\nand when the long-expected gush of stuffing issued forth, one murmur of\ndelight arose all round the board, and even Tiny Tim, excited by the two\nyoung Cratchits, beat on the table with the handle of his knife and\nfeebly cried Hurrah!\n\n[Illustration: HE HAD BEEN TIM'S BLOOD-HORSE ALL THE WAY FROM CHURCH]\n\nThere never was such a goose. Bob said he didn't believe there ever was\nsuch", + "chunk_order_index": 21, + "full_doc_id": "doc-addb4618e1697da0445ec72a648e1f92" + }, + "chunk-503f0bfa5453467c7c61d160a3540eca": { + "tokens": 1200, + "content": "she did,\nand when the long-expected gush of stuffing issued forth, one murmur of\ndelight arose all round the board, and even Tiny Tim, excited by the two\nyoung Cratchits, beat on the table with the handle of his knife and\nfeebly cried Hurrah!\n\n[Illustration: HE HAD BEEN TIM'S BLOOD-HORSE ALL THE WAY FROM CHURCH]\n\nThere never was such a goose. Bob said he didn't believe there ever was\nsuch a goose cooked. Its tenderness and flavour, size and cheapness,\nwere the themes of universal admiration. Eked out by apple sauce and\nmashed potatoes, it was a sufficient dinner for the whole family;\nindeed, as Mrs. Cratchit said with great delight (surveying one small\natom of a bone upon the dish), they hadn't ate it all at last! Yet every\none had had enough, and the youngest Cratchits, in particular, were\nsteeped in sage and onion to the eyebrows! But now, the plates being\nchanged by Miss Belinda, Mrs. Cratchit left the room alone--too nervous\nto bear witnesses--to take the pudding up, and bring it in.\n\nSuppose it should not be done enough! Suppose it should break in turning\nout! Suppose somebody should have got over the wall of the back-yard and\nstolen it, while they were merry with the goose--a supposition at which\nthe two young Cratchits became livid! All sorts of horrors were\nsupposed.\n\nHallo! A great deal of steam! The pudding was out of the copper. A smell\nlike a washing-day! That was the cloth. A smell like an eating-house and\na pastry-cook's next door to each other, with a laundress's next door to\nthat! That was the pudding! In half a minute Mrs. Cratchit\nentered--flushed, but smiling proudly--with the pudding, like a speckled\ncannon-ball, so hard and firm, blazing in half of half-a-quartern of\nignited brandy, and bedight with Christmas holly stuck into the top.\n\nOh, a wonderful pudding! Bob Cratchit said, and calmly too, that he\nregarded it as the greatest success achieved by Mrs. Cratchit since\ntheir marriage. Mrs. Cratchit said that, now the weight was off her\nmind, she would confess she had her doubts about the quantity of flour.\nEverybody had something to say about it, but nobody said or thought it\nwas at all a small pudding for a large family. It would have been flat\nheresy to do so. Any Cratchit would have blushed to hint at such a\nthing.\n\n[Illustration: WITH THE PUDDING]\n\nAt last the dinner was all done, the cloth was cleared, the hearth\nswept, and the fire made up. The compound in the jug being tasted and\nconsidered perfect, apples and oranges were put upon the table, and a\nshovel full of chestnuts on the fire. Then all the Cratchit family\ndrew round the hearth in what Bob Cratchit called a circle, meaning half\na one; and at Bob Cratchit's elbow stood the family display of glass.\nTwo tumblers and a custard cup without a handle.\n\nThese held the hot stuff from the jug, however, as well as golden\ngoblets would have done; and Bob served it out with beaming looks, while\nthe chestnuts on the fire sputtered and cracked noisily. Then Bob\nproposed:\n\n'A merry Christmas to us all, my dears. God bless us!'\n\nWhich all the family re-echoed.\n\n'God bless us every one!' said Tiny Tim, the last of all.\n\nHe sat very close to his father's side, upon his little stool. Bob held\nhis withered little hand to his, as if he loved the child, and wished to\nkeep him by his side, and dreaded that he might be taken from him.\n\n'Spirit,' said Scrooge, with an interest he had never felt before, 'tell\nme if Tiny Tim will live.'\n\n'I see a vacant seat,' replied the Ghost, 'in the poor chimney corner,\nand a crutch without an owner, carefully preserved. If these shadows\nremain unaltered by the Future, the child will die.'\n\n'No, no,' said Scrooge. 'Oh no, kind Spirit! say he will be spared.'\n\n'If these shadows remain unaltered by the Future none other of my race,'\nreturned the Ghost, 'will find him here. What then? If he be like to\ndie, he had better do it, and decrease the surplus population.'\n\nScrooge hung his head to hear his own words quoted by the Spirit, and\nwas overcome with penitence and grief.\n\n'Man,' said the Ghost, 'if man you be in heart, not adamant, forbear\nthat wicked cant until you have discovered what the surplus is, and\nwhere it is. Will you decide what men shall live, what men shall die? It\nmay be that, in the sight of Heaven, you are more worthless and less fit\nto live than millions like this poor man's child. O God! to hear the\ninsect on the leaf pronouncing on the too much life among his hungry\nbrothers in the dust!'\n\nScrooge bent before the Ghost's rebuke, and, trembling, cast his eyes\nupon the ground. But he raised them speedily on hearing his own name.\n\n'Mr. Scrooge!' said Bob. 'I'll give you Mr. Scrooge, the Founder of the\nFeast!'\n\n'The Founder of the Feast", + "chunk_order_index": 22, + "full_doc_id": "doc-addb4618e1697da0445ec72a648e1f92" + }, + "chunk-19d72c57ae3408758b18d2568e86dc6b": { + "tokens": 1200, + "content": "O God! to hear the\ninsect on the leaf pronouncing on the too much life among his hungry\nbrothers in the dust!'\n\nScrooge bent before the Ghost's rebuke, and, trembling, cast his eyes\nupon the ground. But he raised them speedily on hearing his own name.\n\n'Mr. Scrooge!' said Bob. 'I'll give you Mr. Scrooge, the Founder of the\nFeast!'\n\n'The Founder of the Feast, indeed!' cried Mrs. Cratchit, reddening. 'I\nwish I had him here. I'd give him a piece of my mind to feast upon, and\nI hope he'd have a good appetite for it.'\n\n'My dear,' said Bob, 'the children! Christmas Day.'\n\n'It should be Christmas Day, I am sure,' said she, 'on which one drinks\nthe health of such an odious, stingy, hard, unfeeling man as Mr.\nScrooge. You know he is, Robert! Nobody knows it better than you do,\npoor fellow!'\n\n'My dear!' was Bob's mild answer. 'Christmas Day.'\n\n'I'll drink his health for your sake and the Day's,' said Mrs. Cratchit,\n'not for his. Long life to him! A merry Christmas and a happy New Year!\nHe'll be very merry and very happy, I have no doubt!'\n\nThe children drank the toast after her. It was the first of their\nproceedings which had no heartiness in it. Tiny Tim drank it last of\nall, but he didn't care twopence for it. Scrooge was the Ogre of the\nfamily. The mention of his name cast a dark shadow on the party, which\nwas not dispelled for full five minutes.\n\nAfter it had passed away they were ten times merrier than before, from\nthe mere relief of Scrooge the Baleful being done with. Bob Cratchit\ntold them how he had a situation in his eye for Master Peter, which\nwould bring in, if obtained, full five-and-sixpence weekly. The two\nyoung Cratchits laughed tremendously at the idea of Peter's being a man\nof business; and Peter himself looked thoughtfully at the fire from\nbetween his collars, as if he were deliberating what particular\ninvestments he should favour when he came into the receipt of that\nbewildering income. Martha, who was a poor apprentice at a milliner's,\nthen told them what kind of work she had to do, and how many hours she\nworked at a stretch and how she meant to lie abed to-morrow morning for\na good long rest; to-morrow being a holiday she passed at home. Also how\nshe had seen a countess and a lord some days before, and how the lord\n'was much about as tall as Peter'; at which Peter pulled up his collar\nso high that you couldn't have seen his head if you had been there. All\nthis time the chestnuts and the jug went round and round; and by-and-by\nthey had a song, about a lost child travelling in the snow, from Tiny\nTim, who had a plaintive little voice, and sang it very well indeed.\n\nThere was nothing of high mark in this. They were not a handsome family;\nthey were not well dressed; their shoes were far from being waterproof;\ntheir clothes were scanty; and Peter might have known, and very likely\ndid, the inside of a pawnbroker's. But they were happy, grateful,\npleased with one another, and contented with the time; and when they\nfaded, and looked happier yet in the bright sprinklings of the Spirit's\ntorch at parting, Scrooge had his eye upon them, and especially on Tiny\nTim, until the last.\n\nBy this time it was getting dark, and snowing pretty heavily; and as\nScrooge and the Spirit went along the streets, the brightness of the\nroaring fires in kitchens, parlours, and all sorts of rooms was\nwonderful. Here, the flickering of the blaze showed preparations for a\ncosy dinner, with hot plates baking through and through before the fire,\nand deep red curtains, ready to be drawn to shut out cold and darkness.\nThere, all the children of the house were running out into the snow to\nmeet their married sisters, brothers, cousins, uncles, aunts, and be the\nfirst to greet them. Here, again, were shadows on the window-blinds of\nguests assembling; and there a group of handsome girls, all hooded and\nfur-booted, and all chattering at once, tripped lightly off to some near\nneighbour's house; where, woe upon the single man who saw them\nenter--artful witches, well they knew it--in a glow!\n\nBut, if you had judged from the numbers of people on their way to\nfriendly gatherings, you might have thought that no one was at home to\ngive them welcome when they got there, instead of every house expecting\ncompany, and piling up its fires half-chimney high. Blessings on it, how\nthe Ghost exulted! How it bared its breadth of breast, and opened its\ncapacious palm, and floated on, outpouring with a generous hand its\nbright and harmless mirth on everything within its reach! The very\nlamplighter, who ran on before, dotting the dusky street with specks of\nlight, and who was dressed to spend the evening somewhere, laughed out\nloudly as the Spirit passed, though little kenned the lamplighter that\nhe had any company but Christmas.\n\nAnd now, without a word of warning from", + "chunk_order_index": 23, + "full_doc_id": "doc-addb4618e1697da0445ec72a648e1f92" + }, + "chunk-91614df5cb74cbe5e109a338a82041e9": { + "tokens": 1200, + "content": "capacious palm, and floated on, outpouring with a generous hand its\nbright and harmless mirth on everything within its reach! The very\nlamplighter, who ran on before, dotting the dusky street with specks of\nlight, and who was dressed to spend the evening somewhere, laughed out\nloudly as the Spirit passed, though little kenned the lamplighter that\nhe had any company but Christmas.\n\nAnd now, without a word of warning from the Ghost, they stood upon a\nbleak and desert moor, where monstrous masses of rude stone were cast\nabout, as though it were the burial-place of giants; and water spread\nitself wheresoever it listed; or would have done so, but for the frost\nthat held it prisoner; and nothing grew but moss and furze, and coarse,\nrank grass. Down in the west the setting sun had left a streak of fiery\nred, which glared upon the desolation for an instant, like a sullen eye,\nand frowning lower, lower, lower yet, was lost in the thick gloom of\ndarkest night.\n\n'What place is this?' asked Scrooge.\n\n'A place where miners live, who labour in the bowels of the earth,'\nreturned the Spirit. 'But they know me. See!'\n\nA light shone from the window of a hut, and swiftly they advanced\ntowards it. Passing through the wall of mud and stone, they found a\ncheerful company assembled round a glowing fire. An old, old man and\nwoman, with their children and their children's children, and another\ngeneration beyond that, all decked out gaily in their holiday attire.\nThe old man, in a voice that seldom rose above the howling of the wind\nupon the barren waste, was singing them a Christmas song; it had been a\nvery old song when he was a boy; and from time to time they all joined\nin the chorus. So surely as they raised their voices, the old man got\nquite blithe and loud; and so surely as they stopped, his vigour sank\nagain.\n\nThe Spirit did not tarry here, but bade Scrooge hold his robe, and,\npassing on above the moor, sped whither? Not to sea? To sea. To\nScrooge's horror, looking back, he saw the last of the land, a frightful\nrange of rocks, behind them; and his ears were deafened by the\nthundering of water, as it rolled and roared, and raged among the\ndreadful caverns it had worn, and fiercely tried to undermine the earth.\n\nBuilt upon a dismal reef of sunken rocks, some league or so from shore,\non which the waters chafed and dashed, the wild year through, there\nstood a solitary lighthouse. Great heaps of seaweed clung to its base,\nand storm-birds--born of the wind, one might suppose, as seaweed of the\nwater--rose and fell about it, like the waves they skimmed.\n\nBut, even here, two men who watched the light had made a fire, that\nthrough the loophole in the thick stone wall shed out a ray of\nbrightness on the awful sea. Joining their horny hands over the rough\ntable at which they sat, they wished each other Merry Christmas in their\ncan of grog; and one of them--the elder too, with his face all damaged\nand scarred with hard weather, as the figure-head of an old ship might\nbe--struck up a sturdy song that was like a gale in itself.\n\nAgain the Ghost sped on, above the black and heaving sea--on, on--until\nbeing far away, as he told Scrooge, from any shore, they lighted on a\nship. They stood beside the helmsman at the wheel, the look-out in the\nbow, the officers who had the watch; dark, ghostly figures in their\nseveral stations; but every man among them hummed a Christmas tune, or\nhad a Christmas thought, or spoke below his breath to his companion of\nsome bygone Christmas Day, with homeward hopes belonging to it. And\nevery man on board, waking or sleeping, good or bad, had had a kinder\nword for one another on that day than on any day in the year; and had\nshared to some extent in its festivities; and had remembered those he\ncared for at a distance, and had known that they delighted to remember\nhim.\n\nIt was a great surprise to Scrooge, while listening to the moaning of\nthe wind, and thinking what a solemn thing it was to move on through the\nlonely darkness over an unknown abyss, whose depths were secrets as\nprofound as death: it was a great surprise to Scrooge, while thus\nengaged, to hear a hearty laugh. It was a much greater surprise to\nScrooge to recognise it as his own nephew's and to find himself in a\nbright, dry, gleaming room, with the Spirit standing smiling by his\nside, and looking at that same nephew with approving affability!\n\n'Ha, ha!' laughed Scrooge's nephew. 'Ha, ha, ha!'\n\nIf you should happen, by any unlikely chance, to know a man more blessed\nin a laugh than Scrooge's nephew, all I can say is, I should like to\nknow him too. Introduce him to me, and I'll cultivate his acquaintance.\n\nIt is a fair, even-handed, noble adjustment of things, that while there\nis infection in disease and sorrow, there is nothing in the world so\nirresistibly contagious as laughter and good-humour.", + "chunk_order_index": 24, + "full_doc_id": "doc-addb4618e1697da0445ec72a648e1f92" + }, + "chunk-773d0df1dd25c356f7b771d780583e09": { + "tokens": 1200, + "content": "'\n\nIf you should happen, by any unlikely chance, to know a man more blessed\nin a laugh than Scrooge's nephew, all I can say is, I should like to\nknow him too. Introduce him to me, and I'll cultivate his acquaintance.\n\nIt is a fair, even-handed, noble adjustment of things, that while there\nis infection in disease and sorrow, there is nothing in the world so\nirresistibly contagious as laughter and good-humour. When Scrooge's\nnephew laughed in this way--holding his sides, rolling his head, and\ntwisting his face into the most extravagant contortions--Scrooge's\nniece, by marriage, laughed as heartily as he. And their assembled\nfriends, being not a bit behindhand, roared out lustily.\n\n'Ha, ha! Ha, ha, ha, ha!'\n\n'He said that Christmas was a humbug, as I live!' cried Scrooge's\nnephew. 'He believed it, too!'\n\n'More shame for him, Fred!' said Scrooge's niece indignantly. Bless\nthose women! they never do anything by halves. They are always in\nearnest.\n\nShe was very pretty; exceedingly pretty. With a dimpled,\nsurprised-looking, capital face; a ripe little mouth, that seemed made\nto be kissed--as no doubt it was; all kinds of good little dots about\nher chin, that melted into one another when she laughed; and the\nsunniest pair of eyes you ever saw in any little creature's head.\nAltogether she was what you would have called provoking, you know; but\nsatisfactory, too. Oh, perfectly satisfactory!\n\n'He's a comical old fellow,' said Scrooge's nephew, 'that's the truth;\nand not so pleasant as he might be. However, his offences carry their\nown punishment, and I have nothing to say against him.'\n\n'I'm sure he is very rich, Fred,' hinted Scrooge's niece. 'At least, you\nalways tell _me_ so.'\n\n'What of that, my dear?' said Scrooge's nephew. 'His wealth is of no use\nto him. He don't do any good with it. He don't make himself comfortable\nwith it. He hasn't the satisfaction of thinking--ha, ha, ha!--that he is\never going to benefit Us with it.'\n\n'I have no patience with him,' observed Scrooge's niece. Scrooge's\nniece's sisters, and all the other ladies, expressed the same opinion.\n\n'Oh, I have!' said Scrooge's nephew. 'I am sorry for him; I couldn't be\nangry with him if I tried. Who suffers by his ill whims? Himself always.\nHere he takes it into his head to dislike us, and he won't come and dine\nwith us. What's the consequence? He don't lose much of a dinner.'\n\n'Indeed, I think he loses a very good dinner,' interrupted Scrooge's\nniece. Everybody else said the same, and they must be allowed to have\nbeen competent judges, because they had just had dinner; and with the\ndessert upon the table, were clustered round the fire, by lamplight.\n\n'Well! I am very glad to hear it,' said Scrooge's nephew, 'because I\nhaven't any great faith in these young housekeepers. What do _you_ say,\nTopper?'\n\nTopper had clearly got his eye upon one of Scrooge's niece's sisters,\nfor he answered that a bachelor was a wretched outcast, who had no right\nto express an opinion on the subject. Whereat Scrooge's niece's\nsister--the plump one with the lace tucker: not the one with the\nroses--blushed.\n\n'Do go on, Fred,' said Scrooge's niece, clapping her hands. 'He never\nfinishes what he begins to say! He is such a ridiculous fellow!'\n\nScrooge's nephew revelled in another laugh, and as it was impossible to\nkeep the infection off, though the plump sister tried hard to do it with\naromatic vinegar, his example was unanimously followed.\n\n'I was only going to say,' said Scrooge's nephew, 'that the consequence\nof his taking a dislike to us, and not making merry with us, is, as I\nthink, that he loses some pleasant moments, which could do him no harm.\nI am sure he loses pleasanter companions than he can find in his own\nthoughts, either in his mouldy old office or his dusty chambers. I mean\nto give him the same chance every year, whether he likes it or not, for\nI pity him. He may rail at Christmas till he dies, but he can't help\nthinking better of it--I defy him--if he finds me going there, in good\ntemper, year after year, and saying, \"Uncle Scrooge, how are you?\" If it\nonly put him in the vein to leave his poor clerk fifty pounds, _that's_\nsomething; and I think I shook him yesterday.'\n\nIt was their turn to laugh now, at the notion of his shaking Scrooge.\nBut being thoroughly good-natured, and not much caring what they laughed\nat, so that they laughed at any rate, he encouraged them in their\nmerriment, and passed the bottle, joyously.\n\nAfter tea they had some music. For they were a musical family, and knew\nwhat they were about when they sung a Glee or Catch, I can assure you:\nespecially Topper, who could growl away in the bass like a good one", + "chunk_order_index": 25, + "full_doc_id": "doc-addb4618e1697da0445ec72a648e1f92" + }, + "chunk-43c9bee23adfa77aa9dedd22401bba7d": { + "tokens": 1200, + "content": "shaking Scrooge.\nBut being thoroughly good-natured, and not much caring what they laughed\nat, so that they laughed at any rate, he encouraged them in their\nmerriment, and passed the bottle, joyously.\n\nAfter tea they had some music. For they were a musical family, and knew\nwhat they were about when they sung a Glee or Catch, I can assure you:\nespecially Topper, who could growl away in the bass like a good one, and\nnever swell the large veins in his forehead, or get red in the face over\nit. Scrooge's niece played well upon the harp; and played, among other\ntunes, a simple little air (a mere nothing: you might learn to whistle\nit in two minutes) which had been familiar to the child who fetched\nScrooge from the boarding-school, as he had been reminded by the Ghost\nof Christmas Past. When this strain of music sounded, all the things\nthat Ghost had shown him came upon his mind; he softened more and more;\nand thought that if he could have listened to it often, years ago, he\nmight have cultivated the kindnesses of life for his own happiness with\nhis own hands, without resorting to the sexton's spade that buried Jacob\nMarley.\n\n[Illustration: _The way he went after that plump sister in the lace\ntucker!_]\n\nBut they didn't devote the whole evening to music. After a while they\nplayed at forfeits; for it is good to be children sometimes, and never\nbetter than at Christmas, when its mighty Founder was a child himself.\nStop! There was first a game at blind man's-buff. Of course there was.\nAnd I no more believe Topper was really blind than I believe he had eyes\nin his boots. My opinion is, that it was a done thing between him and\nScrooge's nephew; and that the Ghost of Christmas Present knew it. The\nway he went after that plump sister in the lace tucker was an outrage on\nthe credulity of human nature. Knocking down the fire-irons, tumbling\nover the chairs, bumping up against the piano, smothering himself\namongst the curtains, wherever she went, there went he! He always knew\nwhere the plump sister was. He wouldn't catch anybody else. If you had\nfallen up against him (as some of them did) on purpose, he would have\nmade a feint of endeavouring to seize you, which would have been an\naffront to your understanding, and would instantly have sidled off in\nthe direction of the plump sister. She often cried out that it wasn't\nfair; and it really was not. But when, at last, he caught her; when, in\nspite of all her silken rustlings, and her rapid flutterings past him,\nhe got her into a corner whence there was no escape; then his conduct\nwas the most execrable. For his pretending not to know her; his\npretending that it was necessary to touch her head-dress, and further to\nassure himself of her identity by pressing a certain ring upon her\nfinger, and a certain chain about her neck; was vile, monstrous! No\ndoubt she told him her opinion of it when, another blind man being in\noffice, they were so very confidential together behind the curtains.\n\nScrooge's niece was not one of the blind man's-buff party, but was made\ncomfortable with a large chair and a footstool, in a snug corner where\nthe Ghost and Scrooge were close behind her. But she joined in the\nforfeits, and loved her love to admiration with all the letters of the\nalphabet. Likewise at the game of How, When, and Where, she was very\ngreat, and, to the secret joy of Scrooge's nephew, beat her sisters\nhollow; though they were sharp girls too, as Topper could have told you.\nThere might have been twenty people there, young and old, but they all\nplayed, and so did Scrooge; for wholly forgetting, in the interest he\nhad in what was going on, that his voice made no sound in their ears, he\nsometimes came out with his guess quite loud, and very often guessed\nright, too; for the sharpest needle, best Whitechapel, warranted not to\ncut in the eye, was not sharper than Scrooge, blunt as he took it in\nhis head to be.\n\nThe Ghost was greatly pleased to find him in this mood, and looked upon\nhim with such favour that he begged like a boy to be allowed to stay\nuntil the guests departed. But this the Spirit said could not be done.\n\n'Here is a new game,' said Scrooge. 'One half-hour, Spirit, only one!'\n\nIt was a game called Yes and No, where Scrooge's nephew had to think of\nsomething, and the rest must find out what, he only answering to their\nquestions yes or no, as the case was. The brisk fire of questioning to\nwhich he was exposed elicited from him that he was thinking of an\nanimal, a live animal, rather a disagreeable animal, a savage animal, an\nanimal that growled and grunted sometimes, and talked sometimes and\nlived in London, and walked about the streets, and wasn't made a show\nof, and wasn't led by anybody, and didn't live in a menagerie, and was\nnever killed in a market, and was not a horse, or an ass, or a cow, or a\nbull, or a tiger, or a dog, or a pig, or a cat, or", + "chunk_order_index": 26, + "full_doc_id": "doc-addb4618e1697da0445ec72a648e1f92" + }, + "chunk-e7637ff18c5ded77a68cce0a87883fad": { + "tokens": 1200, + "content": "animal, a savage animal, an\nanimal that growled and grunted sometimes, and talked sometimes and\nlived in London, and walked about the streets, and wasn't made a show\nof, and wasn't led by anybody, and didn't live in a menagerie, and was\nnever killed in a market, and was not a horse, or an ass, or a cow, or a\nbull, or a tiger, or a dog, or a pig, or a cat, or a bear. At every\nfresh question that was put to him, this nephew burst into a fresh roar\nof laughter; and was so inexpressibly tickled, that he was obliged to\nget up off the sofa and stamp. At last the plump sister, falling into a\nsimilar state, cried out:\n\n'I have found it out! I know what it is, Fred! I know what it is!'\n\n'What is it?' cried Fred.\n\n'It's your uncle Scro-o-o-o-oge.'\n\nWhich it certainly was. Admiration was the universal sentiment, though\nsome objected that the reply to 'Is it a bear?' ought to have been\n'Yes'; inasmuch as an answer in the negative was sufficient to have\ndiverted their thoughts from Mr. Scrooge, supposing they had ever had\nany tendency that way.\n\n'He has given us plenty of merriment, I am sure,' said Fred, 'and it\nwould be ungrateful not to drink his health. Here is a glass of mulled\nwine ready to our hand at the moment; and I say, \"Uncle Scrooge!\"'\n\n'Well! Uncle Scrooge!' they cried.\n\n'A merry Christmas and a happy New Year to the old man, whatever he is!'\nsaid Scrooge's nephew. 'He wouldn't take it from me, but may he have it,\nnevertheless. Uncle Scrooge!'\n\nUncle Scrooge had imperceptibly become so gay and light of heart, that\nhe would have pledged the unconscious company in return, and thanked\nthem in an inaudible speech, if the Ghost had given him time. But the\nwhole scene passed off in the breath of the last word spoken by his\nnephew; and he and the Spirit were again upon their travels.\n\nMuch they saw, and far they went, and many homes they visited, but\nalways with a happy end. The Spirit stood beside sick-beds, and they\nwere cheerful; on foreign lands, and they were close at home; by\nstruggling men, and they were patient in their greater hope; by poverty,\nand it was rich. In almshouse, hospital, and gaol, in misery's every\nrefuge, where vain man in his little brief authority had not made fast\nthe door, and barred the Spirit out, he left his blessing and taught\nScrooge his precepts.\n\nIt was a long night, if it were only a night; but Scrooge had his doubts\nof this, because the Christmas holidays appeared to be condensed into\nthe space of time they passed together. It was strange, too, that, while\nScrooge remained unaltered in his outward form, the Ghost grew older,\nclearly older. Scrooge had observed this change, but never spoke of it\nuntil they left a children's Twelfth-Night party, when, looking at the\nSpirit as they stood together in an open place, he noticed that its hair\nwas grey.\n\n'Are spirits' lives so short?' asked Scrooge.\n\n'My life upon this globe is very brief,' replied the Ghost. 'It ends\nto-night.'\n\n'To-night!' cried Scrooge.\n\n'To-night at midnight. Hark! The time is drawing near.'\n\nThe chimes were ringing the three-quarters past eleven at that moment.\n\n'Forgive me if I am not justified in what I ask,' said Scrooge, looking\nintently at the Spirit's robe, 'but I see something strange, and not\nbelonging to yourself, protruding from your skirts. Is it a foot or a\nclaw?'\n\n'It might be a claw, for the flesh there is upon it,' was the Spirit's\nsorrowful reply. 'Look here!'\n\nFrom the foldings of its robe it brought two children, wretched, abject,\nfrightful, hideous, miserable. They knelt down at its feet, and clung\nupon the outside of its garment.\n\n'O Man! look here! Look, look down here!' exclaimed the Ghost.\n\nThey were a boy and girl. Yellow, meagre, ragged, scowling, wolfish, but\nprostrate, too, in their humility. Where graceful youth should have\nfilled their features out, and touched them with its freshest tints, a\nstale and shrivelled hand, like that of age, had pinched and twisted\nthem, and pulled them into shreds. Where angels might have sat\nenthroned, devils lurked, and glared out menacing. No change, no\ndegradation, no perversion of humanity in any grade, through all the\nmysteries of wonderful creation, has monsters half so horrible and\ndread.\n\nScrooge started back, appalled. Having them shown to him in this way, he\ntried to say they were fine children, but the words choked themselves,\nrather than be parties to a lie of such enormous magnitude.\n\n'Spirit! are they yours?' Scrooge could say no more.\n\n'They are Man's,' said the Spirit, looking down upon them. 'And they\ncling to me, appealing from their fathers. This boy is Ignorance. This\ngirl is", + "chunk_order_index": 27, + "full_doc_id": "doc-addb4618e1697da0445ec72a648e1f92" + }, + "chunk-02baee20cc9463dbe08170a8e1043e32": { + "tokens": 1200, + "content": "oge started back, appalled. Having them shown to him in this way, he\ntried to say they were fine children, but the words choked themselves,\nrather than be parties to a lie of such enormous magnitude.\n\n'Spirit! are they yours?' Scrooge could say no more.\n\n'They are Man's,' said the Spirit, looking down upon them. 'And they\ncling to me, appealing from their fathers. This boy is Ignorance. This\ngirl is Want. Beware of them both, and all of their degree, but most of\nall beware this boy, for on his brow I see that written which is Doom,\nunless the writing be erased. Deny it!' cried the Spirit, stretching out\nhis hand towards the city. 'Slander those who tell it ye! Admit it for\nyour factious purposes, and make it worse! And bide the end!'\n\n'Have they no refuge or resource?' cried Scrooge.\n\n'Are there no prisons?' said the Spirit, turning on him for the last\ntime with his own words. 'Are there no workhouses?'\n\nThe bell struck Twelve.\n\nScrooge looked about him for the Ghost, and saw it not. As the last\nstroke ceased to vibrate, he remembered the prediction of old Jacob\nMarley, and, lifting up his eyes, beheld a solemn Phantom, draped and\nhooded, coming like a mist along the ground towards him.\n\n\nSTAVE FOUR\n\n\n\n\nTHE LAST OF THE SPIRITS\n\n\nThe Phantom slowly, gravely, silently approached. When it came near him,\nScrooge bent down upon his knee; for in the very air through which this\nSpirit moved it seemed to scatter gloom and mystery.\n\nIt was shrouded in a deep black garment, which concealed its head, its\nface, its form, and left nothing of it visible, save one outstretched\nhand. But for this, it would have been difficult to detach its figure\nfrom the night, and separate it from the darkness by which it was\nsurrounded.\n\nHe felt that it was tall and stately when it came beside him, and that\nits mysterious presence filled him with a solemn dread. He knew no more,\nfor the Spirit neither spoke nor moved.\n\n'I am in the presence of the Ghost of Christmas Yet to Come?' said\nScrooge.\n\nThe Spirit answered not, but pointed onward with its hand.\n\n'You are about to show me shadows of the things that have not happened,\nbut will happen in the time before us,' Scrooge pursued. 'Is that so,\nSpirit?'\n\nThe upper portion of the garment was contracted for an instant in its\nfolds, as if the Spirit had inclined its head. That was the only answer\nhe received.\n\nAlthough well used to ghostly company by this time, Scrooge feared the\nsilent shape so much that his legs trembled beneath him, and he found\nthat he could hardly stand when he prepared to follow it. The Spirit\npaused a moment, as observing his condition, and giving him time to\nrecover.\n\nBut Scrooge was all the worse for this. It thrilled him with a vague,\nuncertain horror to know that, behind the dusky shroud, there were\nghostly eyes intently fixed upon him, while he, though he stretched his\nown to the utmost, could see nothing but a spectral hand and one great\nheap of black.\n\n'Ghost of the Future!' he exclaimed, 'I fear you more than any spectre\nI have seen. But as I know your purpose is to do me good, and as I hope\nto live to be another man from what I was, I am prepared to bear your\ncompany, and do it with a thankful heart. Will you not speak to me?'\n\nIt gave him no reply. The hand was pointed straight before them.\n\n'Lead on!' said Scrooge. 'Lead on! The night is waning fast, and it is\nprecious time to me, I know. Lead on, Spirit!'\n\nThe Phantom moved away as it had come towards him. Scrooge followed in\nthe shadow of its dress, which bore him up, he thought, and carried him\nalong.\n\nThey scarcely seemed to enter the City; for the City rather seemed to\nspring up about them, and encompass them of its own act. But there they\nwere in the heart of it; on 'Change, amongst the merchants, who hurried\nup and down, and chinked the money in their pockets, and conversed in\ngroups, and looked at their watches, and trifled thoughtfully with their\ngreat gold seals, and so forth, as Scrooge had seen them often.\n\nThe Spirit stopped beside one little knot of business men. Observing\nthat the hand was pointed to them, Scrooge advanced to listen to their\ntalk.\n\n'No,' said a great fat man with a monstrous chin, 'I don't know much\nabout it either way. I only know he's dead.'\n\n'When did he die?' inquired another.\n\n'Last night, I believe.'\n\n'Why, what was the matter with him?' asked a third, taking a vast\nquantity of snuff out of a very large snuff-box. 'I thought he'd never\ndie.'\n\n'God knows,' said the first, with a yawn.\n\n'What has he done with his money?' asked a red-faced gentleman with a\npendulous excrescence on the end of his nose, that shook like the gills\nof a turkey-cock.\n\n'I haven't heard,' said the man with the large chin, yawning again.\n'Left it to his company, perhaps. He hasn't left it to _me_. That's all\nI know.'\n\nThis pleasantry was received with a general", + "chunk_order_index": 28, + "full_doc_id": "doc-addb4618e1697da0445ec72a648e1f92" + }, + "chunk-f1a4fbcf1ed86864b9bfd5e8dba4c683": { + "tokens": 1200, + "content": ",' said the first, with a yawn.\n\n'What has he done with his money?' asked a red-faced gentleman with a\npendulous excrescence on the end of his nose, that shook like the gills\nof a turkey-cock.\n\n'I haven't heard,' said the man with the large chin, yawning again.\n'Left it to his company, perhaps. He hasn't left it to _me_. That's all\nI know.'\n\nThis pleasantry was received with a general laugh.\n\n'It's likely to be a very cheap funeral,' said the same speaker; 'for,\nupon my life, I don't know of anybody to go to it. Suppose we make up a\nparty, and volunteer?'\n\n'I don't mind going if a lunch is provided,' observed the gentleman with\nthe excrescence on his nose. 'But I must be fed if I make one.'\n\nAnother laugh.\n\n[Illustration:\n\n _\"How are you?\" said one.\n \"How are you?\" returned the other.\n \"Well!\" said the first. \"Old Scratch has got his own at last, hey?\"_\n\n]\n\n'Well, I am the most disinterested among you, after all,' said the first\nspeaker, 'for I never wear black gloves, and I never eat lunch. But I'll\noffer to go if anybody else will. When I come to think of it, I'm not\nat all sure that I wasn't his most particular friend; for we used to\nstop and speak whenever we met. Bye, bye!'\n\nSpeakers and listeners strolled away, and mixed with other groups.\nScrooge knew the men, and looked towards the Spirit for an explanation.\n\nThe phantom glided on into a street. Its finger pointed to two persons\nmeeting. Scrooge listened again, thinking that the explanation might lie\nhere.\n\nHe knew these men, also, perfectly. They were men of business: very\nwealthy, and of great importance. He had made a point always of standing\nwell in their esteem in a business point of view, that is; strictly in a\nbusiness point of view.\n\n'How are you?' said one.\n\n'How are you?' returned the other.\n\n'Well!' said the first, 'old Scratch has got his own at last, hey?'\n\n'So I am told,' returned the second. 'Cold, isn't it?'\n\n'Seasonable for Christmas-time. You are not a skater, I suppose?'\n\n'No, no. Something else to think of. Good-morning!'\n\nNot another word. That was their meeting, their conversation, and their\nparting.\n\nScrooge was at first inclined to be surprised that the Spirit should\nattach importance to conversations apparently so trivial; but feeling\nassured that they must have some hidden purpose, he set himself to\nconsider what it was likely to be. They could scarcely be supposed to\nhave any bearing on the death of Jacob, his old partner, for that was\nPast, and this Ghost's province was the Future. Nor could he think of\nany one immediately connected with himself to whom he could apply them.\nBut nothing doubting that, to whomsoever they applied, they had some\nlatent moral for his own improvement, he resolved to treasure up every\nword he heard, and everything he saw; and especially to observe the\nshadow of himself when it appeared. For he had an expectation that the\nconduct of his future self would give him the clue he missed, and would\nrender the solution of these riddles easy.\n\nHe looked about in that very place for his own image, but another man\nstood in his accustomed corner; and though the clock pointed to his\nusual time of day for being there, he saw no likeness of himself among\nthe multitudes that poured in through the Porch. It gave him little\nsurprise, however; for he had been revolving in his mind a change of\nlife, and thought and hoped he saw his new-born resolutions carried out\nin this.\n\nQuiet and dark, beside him stood the Phantom, with its outstretched\nhand. When he roused himself from his thoughtful quest, he fancied,\nfrom the turn of the hand, and its situation in reference to himself,\nthat the Unseen Eyes were looking at him keenly. It made him shudder,\nand feel very cold.\n\nThey left the busy scene, and went into an obscure part of the town,\nwhere Scrooge had never penetrated before, although he recognised its\nsituation and its bad repute. The ways were foul and narrow; the shop\nand houses wretched; the people half naked, drunken, slipshod, ugly.\nAlleys and archways, like so many cesspools, disgorged their offences of\nsmell and dirt, and life upon the straggling streets; and the whole\nquarter reeked with crime, with filth, and misery.\n\nFar in this den of infamous resort, there was a low-browed, beetling\nshop, below a penthouse roof, where iron, old rags, bottles, bones, and\ngreasy offal were bought. Upon the floor within were piled up heaps of\nrusty keys, nails, chains, hinges, files, scales, weights, and refuse\niron of all kinds. Secrets that few would like to scrutinise were bred\nand hidden in mountains of unseemly rags, masses of corrupted fat, and\nsepulchres of bones. Sitting in among the wares he dealt in, by a\ncharcoal stove made of old bricks, was a grey-haired rascal, nearly\nseventy years of age, who had screened himself from the cold air without\nby a frouzy curtaining of miscellaneous tatters hung upon a line and\nsmoked his pipe in all", + "chunk_order_index": 29, + "full_doc_id": "doc-addb4618e1697da0445ec72a648e1f92" + }, + "chunk-60fc063c79fc0d4acc91a57e79de04dc": { + "tokens": 1200, + "content": "to scrutinise were bred\nand hidden in mountains of unseemly rags, masses of corrupted fat, and\nsepulchres of bones. Sitting in among the wares he dealt in, by a\ncharcoal stove made of old bricks, was a grey-haired rascal, nearly\nseventy years of age, who had screened himself from the cold air without\nby a frouzy curtaining of miscellaneous tatters hung upon a line and\nsmoked his pipe in all the luxury of calm retirement.\n\nScrooge and the Phantom came into the presence of this man, just as a\nwoman with a heavy bundle slunk into the shop. But she had scarcely\nentered, when another woman, similarly laden, came in too; and she was\nclosely followed by a man in faded black, who was no less startled by\nthe sight of them than they had been upon the recognition of each other.\nAfter a short period of blank astonishment, in which the old man with\nthe pipe had joined them, they all three burst into a laugh.\n\n'Let the charwoman alone to be the first!' cried she who had entered\nfirst. 'Let the laundress alone to be the second; and let the\nundertaker's man alone to be the third. Look here, old Joe, here's a\nchance! If we haven't all three met here without meaning it!'\n\n'You couldn't have met in a better place,' said old Joe, removing his\npipe from his mouth. 'Come into the parlour. You were made free of it\nlong ago, you know; and the other two an't strangers. Stop till I shut\nthe door of the shop. Ah! how it skreeks! There an't such a rusty bit of\nmetal in the place as its own hinges, I believe; and I'm sure there's no\nsuch old bones here as mine. Ha! ha! We're all suitable to our calling,\nwe're well matched. Come into the parlour. Come into the parlour.'\n\nThe parlour was the space behind the screen of rags. The old man raked\nthe fire together with an old stair-rod, and having trimmed his smoky\nlamp (for it was night) with the stem of his pipe, put it into his mouth\nagain.\n\nWhile he did this, the woman who had already spoken threw her bundle on\nthe floor, and sat down in a flaunting manner on a stool, crossing her\nelbows on her knees, and looking with a bold defiance at the other two.\n\n'What odds, then? What odds, Mrs. Dilber?' said the woman. 'Every person\nhas a right to take care of themselves. _He_ always did!'\n\n'That's true, indeed!' said the laundress. 'No man more so.'\n\n'Why, then, don't stand staring as if you was afraid, woman! Who's the\nwiser? We're not going to pick holes in each other's coats, I suppose?'\n\n'No, indeed!' said Mrs. Dilber and the man together. 'We should hope\nnot.'\n\n'Very well then!' cried the woman. 'That's enough. Who's the worse for\nthe loss of a few things like these? Not a dead man, I suppose?'\n\n'No, indeed,' said Mrs. Dilber, laughing.\n\n'If he wanted to keep 'em after he was dead, a wicked old screw,'\npursued the woman, 'why wasn't he natural in his lifetime? If he had\nbeen, he'd have had somebody to look after him when he was struck with\nDeath, instead of lying gasping out his last there, alone by himself.'\n\n'It's the truest word that ever was spoke,' said Mrs. Dilber. 'It's a\njudgment on him.'\n\n'I wish it was a little heavier judgment,' replied the woman: 'and it\nshould have been, you may depend upon it, if I could have laid my hands\non anything else. Open that bundle, old Joe, and let me know the value\nof it. Speak out plain. I'm not afraid to be the first, nor afraid for\nthem to see it. We knew pretty well that we were helping ourselves\nbefore we met here, I believe. It's no sin. Open the bundle, Joe.'\n\nBut the gallantry of her friends would not allow of this; and the man in\nfaded black, mounting the breach first, produced _his_ plunder. It was\nnot extensive. A seal or two, a pencil-case, a pair of sleeve-buttons,\nand a brooch of no great value, were all. They were severally examined\nand appraised by old Joe, who chalked the sums he was disposed to give\nfor each upon the wall, and added them up into a total when he found\nthat there was nothing more to come.\n\n'That's your account,' said Joe, 'and I wouldn't give another sixpence,\nif I was to be boiled for not doing it. Who's next?'\n\n\n[Illustration: _\"What do you call this?\" said Joe. \"Bed-curtains.\"_]\n\nMrs. Dilber was next. Sheets and towels, a little wearing apparel, two\nold fashioned silver teaspoons, a pair of sugar-tongs, and a few\nboots. Her account was stated on the wall in the same manner.\n\n'I always give too much to ladies. It's a weakness of mine, and that's\nthe way I ruin myself,' said old Joe. 'That's your account. If you asked\nme for another penny, and made it an open question, I'd repent of being\nso liberal, and knock off half-a-crown.'\n\n'And now undo _my_ bundle, Joe,' said the first woman.\n\nJoe went down on his knees for the", + "chunk_order_index": 30, + "full_doc_id": "doc-addb4618e1697da0445ec72a648e1f92" + }, + "chunk-e1f29eeadc1d8ab46dc8a0bbd3c56b64": { + "tokens": 1200, + "content": "Her account was stated on the wall in the same manner.\n\n'I always give too much to ladies. It's a weakness of mine, and that's\nthe way I ruin myself,' said old Joe. 'That's your account. If you asked\nme for another penny, and made it an open question, I'd repent of being\nso liberal, and knock off half-a-crown.'\n\n'And now undo _my_ bundle, Joe,' said the first woman.\n\nJoe went down on his knees for the greater convenience of opening it,\nand, having unfastened a great many knots, dragged out a large heavy\nroll of some dark stuff.\n\n'What do you call this?' said Joe. 'Bed-curtains?'\n\n'Ah!' returned the woman, laughing and leaning forward on her crossed\narms. 'Bed-curtains!'\n\n'You don't mean to say you took 'em down, rings and all, with him lying\nthere?' said Joe.\n\n'Yes, I do,' replied the woman. 'Why not?'\n\n'You were born to make your fortune,' said Joe, 'and you'll certainly do\nit.'\n\n'I certainly shan't hold my hand, when I can get anything in it by\nreaching it out, for the sake of such a man as he was, I promise you,\nJoe,' returned the woman coolly. 'Don't drop that oil upon the blankets,\nnow.'\n\n'His blankets?' asked Joe.\n\n'Whose else's do you think?' replied the woman. 'He isn't likely to take\ncold without 'em, I dare say.'\n\n'I hope he didn't die of anything catching? Eh?' said old Joe, stopping\nin his work, and looking up.\n\n'Don't you be afraid of that,' returned the woman. 'I an't so fond of\nhis company that I'd loiter about him for such things, if he did. Ah!\nyou may look through that shirt till your eyes ache, but you won't find\na hole in it, nor a threadbare place. It's the best he had, and a fine\none too. They'd have wasted it, if it hadn't been for me.'\n\n'What do you call wasting of it?' asked old Joe.\n\n'Putting it on him to be buried in, to be sure,' replied the woman, with\na laugh. 'Somebody was fool enough to do it, but I took it off again. If\ncalico an't good enough for such a purpose, it isn't good enough for\nanything. It's quite as becoming to the body. He can't look uglier than\nhe did in that one.'\n\nScrooge listened to this dialogue in horror. As they sat grouped about\ntheir spoil, in the scanty light afforded by the old man's lamp, he\nviewed them with a detestation and disgust which could hardly have been\ngreater, though they had been obscene demons marketing the corpse\nitself.\n\n'Ha, ha!' laughed the same woman when old Joe producing a flannel bag\nwith money in it, told out their several gains upon the ground. 'This\nis the end of it, you see! He frightened every one away from him when he\nwas alive, to profit us when he was dead! Ha, ha, ha!'\n\n'Spirit!' said Scrooge, shuddering from head to foot. 'I see, I see. The\ncase of this unhappy man might be my own. My life tends that way now.\nMerciful heaven, what is this?'\n\nHe recoiled in terror, for the scene had changed, and now he almost\ntouched a bed--a bare, uncurtained bed--on which, beneath a ragged\nsheet, there lay a something covered up, which, though it was dumb,\nannounced itself in awful language.\n\nThe room was very dark, too dark to be observed with any accuracy,\nthough Scrooge glanced round it in obedience to a secret impulse,\nanxious to know what kind of room it was. A pale light, rising in the\nouter air, fell straight upon the bed; and on it, plundered and bereft,\nunwatched, unwept, uncared for, was the body of this man.\n\nScrooge glanced towards the Phantom. Its steady hand was pointed to the\nhead. The cover was so carelessly adjusted that the slightest raising of\nit, the motion of a finger upon Scrooge's part, would have disclosed the\nface. He thought of it, felt how easy it would be to do, and longed to\ndo it; but he had no more power to withdraw the veil than to dismiss the\nspectre at his side.\n\nOh, cold, cold, rigid, dreadful Death, set up thine altar here, and\ndress it with such terrors as thou hast at thy command; for this is thy\ndominion! But of the loved, revered, and honoured head thou canst not\nturn one hair to thy dread purposes, or make one feature odious. It is\nnot that the hand is heavy, and will fall down when released; it is not\nthat the heart and pulse are still; but that the hand was open,\ngenerous, and true; the heart brave, warm, and tender, and the pulse a\nman's. Strike, Shadow, strike! And see his good deeds springing from the\nwound, to sow the world with life immortal!\n\nNo voice pronounced these words in Scrooge's ears, and yet he heard them\nwhen he looked upon the bed. He thought, if this man could be raised up\nnow, what would be his foremost thoughts? Avarice, hard dealing, griping\ncares? They have brought him to a rich end, truly!\n\nHe lay in the dark, empty house, with not", + "chunk_order_index": 31, + "full_doc_id": "doc-addb4618e1697da0445ec72a648e1f92" + }, + "chunk-83ac129dc9b56f84c46760d153d68e93": { + "tokens": 1200, + "content": "see his good deeds springing from the\nwound, to sow the world with life immortal!\n\nNo voice pronounced these words in Scrooge's ears, and yet he heard them\nwhen he looked upon the bed. He thought, if this man could be raised up\nnow, what would be his foremost thoughts? Avarice, hard dealing, griping\ncares? They have brought him to a rich end, truly!\n\nHe lay in the dark, empty house, with not a man, a woman, or a child to\nsay he was kind to me in this or that, and for the memory of one kind\nword I will be kind to him. A cat was tearing at the door, and there was\na sound of gnawing rats beneath the hearthstone. What _they_ wanted in\nthe room of death, and why they were so restless and disturbed, Scrooge\ndid not dare to think.\n\n'Spirit!' he said, 'this is a fearful place. In leaving it, I shall not\nleave its lesson, trust me. Let us go!'\n\nStill the Ghost pointed with an unmoved finger to the head.\n\n'I understand you,' Scrooge returned, 'and I would do it if I could. But\nI have not the power, Spirit. I have not the power.'\n\nAgain it seemed to look upon him.\n\n'If there is any person in the town who feels emotion caused by this\nman's death,' said Scrooge, quite agonised, 'show that person to me,\nSpirit, I beseech you!'\n\nThe Phantom spread its dark robe before him for a moment, like a wing;\nand, withdrawing it, revealed a room by daylight, where a mother and her\nchildren were.\n\nShe was expecting some one, and with anxious eagerness; for she walked\nup and down the room, started at every sound, looked out from the\nwindow, glanced at the clock, tried, but in vain, to work with her\nneedle, and could hardly bear the voices of her children in their play.\n\nAt length the long-expected knock was heard. She hurried to the door,\nand met her husband; a man whose face was careworn and depressed, though\nhe was young. There was a remarkable expression in it now, a kind of\nserious delight of which he felt ashamed, and which he struggled to\nrepress.\n\nHe sat down to the dinner that had been hoarding for him by the fire,\nand when she asked him faintly what news (which was not until after a\nlong silence), he appeared embarrassed how to answer.\n\n'Is it good,' she said, 'or bad?' to help him.\n\n'Bad,' he answered.\n\n'We are quite ruined?'\n\n'No. There is hope yet, Caroline.'\n\n'If _he_ relents,' she said, amazed, 'there is! Nothing is past hope, if\nsuch a miracle has happened.'\n\n'He is past relenting,' said her husband. 'He is dead.'\n\nShe was a mild and patient creature, if her face spoke truth; but she\nwas thankful in her soul to hear it, and she said so with clasped hands.\nShe prayed forgiveness the next moment, and was sorry; but the first was\nthe emotion of her heart.\n\n'What the half-drunken woman, whom I told you of last night, said to me\nwhen I tried to see him and obtain a week's delay--and what I thought\nwas a mere excuse to avoid me--turns out to have been quite true. He was\nnot only very ill, but dying, then.'\n\n'To whom will our debt be transferred?'\n\n'I don't know. But, before that time, we shall be ready with the money;\nand even though we were not, it would be bad fortune indeed to find so\nmerciless a creditor in his successor. We may sleep to-night with light\nhearts, Caroline!'\n\nYes. Soften it as they would, their hearts were lighter. The children's\nfaces, hushed and clustered round to hear what they so little\nunderstood, were brighter; and it was a happier house for this man's\ndeath! The only emotion that the Ghost could show him, caused by the\nevent, was one of pleasure.\n\n'Let me see some tenderness connected with a death,' said Scrooge; 'or\nthat dark chamber, Spirit, which we left just now, will be for ever\npresent to me.'\n\nThe Ghost conducted him through several streets familiar to his feet;\nand as they went along, Scrooge looked here and there to find himself,\nbut nowhere was he to be seen. They entered poor Bob Cratchit's house;\nthe dwelling he had visited before; and found the mother and the\nchildren seated round the fire.\n\nQuiet. Very quiet. The noisy little Cratchits were as still as statues\nin one corner, and sat looking up at Peter, who had a book before him.\nThe mother and her daughters were engaged in sewing. But surely they\nwere very quiet!\n\n'\"And he took a child, and set him in the midst of them.\"'\n\nWhere had Scrooge heard those words? He had not dreamed them. The boy\nmust have read them out as he and the Spirit crossed the threshold. Why\ndid he not go on?\n\nThe mother laid her work upon the table, and put her hand up to her\nface.\n\n'The colour hurts my eyes,' she said.\n\nThe colour? Ah, poor Tiny Tim!\n\n'They're better now again,' said Cratchit's wife. 'It makes them weak by\ncandle-light; and I wouldn't show weak eyes to your father when he comes\nhome for the world. It must be near his time.'\n\n'Past it rather,' Peter answered, shutting up his", + "chunk_order_index": 32, + "full_doc_id": "doc-addb4618e1697da0445ec72a648e1f92" + }, + "chunk-1d4b58de5429cd1261370c231c8673e8": { + "tokens": 1200, + "content": "go on?\n\nThe mother laid her work upon the table, and put her hand up to her\nface.\n\n'The colour hurts my eyes,' she said.\n\nThe colour? Ah, poor Tiny Tim!\n\n'They're better now again,' said Cratchit's wife. 'It makes them weak by\ncandle-light; and I wouldn't show weak eyes to your father when he comes\nhome for the world. It must be near his time.'\n\n'Past it rather,' Peter answered, shutting up his book. 'But I think he\nhas walked a little slower than he used, these few last evenings,\nmother.'\n\nThey were very quiet again. At last she said, and in a steady, cheerful\nvoice, that only faltered once:\n\n'I have known him walk with--I have known him walk with Tiny Tim upon\nhis shoulder very fast indeed.'\n\n'And so have I,' cried Peter. 'Often.'\n\n'And so have I,' exclaimed another. So had all.\n\n'But he was very light to carry,' she resumed, intent upon her work,\n'and his father loved him so, that it was no trouble, no trouble. And\nthere is your father at the door!'\n\nShe hurried out to meet him; and little Bob in his comforter--he had\nneed of it, poor fellow--came in. His tea was ready for him on the hob,\nand they all tried who should help him to it most. Then the two young\nCratchits got upon his knees, and laid, each child, a little cheek\nagainst his face, as if they said, 'Don't mind it, father. Don't be\ngrieved!'\n\nBob was very cheerful with them, and spoke pleasantly to all the family.\nHe looked at the work upon the table, and praised the industry and speed\nof Mrs. Cratchit and the girls. They would be done long before Sunday,\nhe said.\n\n'Sunday! You went to-day, then, Robert?' said his wife.\n\n'Yes, my dear,' returned Bob. 'I wish you could have gone. It would have\ndone you good to see how green a place it is. But you'll see it often. I\npromised him that I would walk there on a Sunday. My little, little\nchild!' cried Bob. 'My little child!'\n\nHe broke down all at once. He couldn't help it. If he could have helped\nit, he and his child would have been farther apart, perhaps, than they\nwere.\n\nHe left the room, and went upstairs into the room above, which was\nlighted cheerfully, and hung with Christmas. There was a chair set close\nbeside the child, and there were signs of some one having been there\nlately. Poor Bob sat down in it, and when he had thought a little and\ncomposed himself, he kissed the little face. He was reconciled to what\nhad happened, and went down again quite happy.\n\nThey drew about the fire, and talked, the girls and mother working\nstill. Bob told them of the extraordinary kindness of Mr. Scrooge's\nnephew, whom he had scarcely seen but once, and who, meeting him in the\nstreet that day, and seeing that he looked a little--'just a little\ndown, you know,' said Bob, inquired what had happened to distress him.\n'On which,' said Bob, 'for he is the pleasantest-spoken gentleman you\never heard, I told him. \"I am heartily sorry for it, Mr. Cratchit,\" he\nsaid, \"and heartily sorry for your good wife.\" By-the-bye, how he ever\nknew _that_ I don't know.'\n\n'Knew what, my dear?'\n\n'Why, that you were a good wife,' replied Bob.\n\n'Everybody knows that,' said Peter.\n\n'Very well observed, my boy!' cried Bob. 'I hope they do. \"Heartily\nsorry,\" he said, \"for your good wife. If I can be of service to you in\nany way,\" he said, giving me his card, \"that's where I live. Pray come\nto me.\" Now, it wasn't,' cried Bob, 'for the sake of anything he might\nbe able to do for us, so much as for his kind way, that this was quite\ndelightful. It really seemed as if he had known our Tiny Tim, and felt\nwith us.'\n\n'I'm sure he's a good soul!' said Mrs. Cratchit.\n\n'You would be sure of it, my dear,' returned Bob, 'if you saw and spoke\nto him. I shouldn't be at all surprised--mark what I say!--if he got\nPeter a better situation.'\n\n'Only hear that, Peter,' said Mrs. Cratchit.\n\n'And then,' cried one of the girls, 'Peter will be keeping company with\nsome one, and setting up for himself.'\n\n'Get along with you!' retorted Peter, grinning.\n\n'It's just as likely as not,' said Bob, 'one of these days; though\nthere's plenty of time for that, my dear. But, however and whenever we\npart from one another, I am sure we shall none of us forget poor Tiny\nTim--shall we--or this first parting that there was among us?'\n\n'Never, father!' cried they all.\n\n'And I know,' said Bob, 'I know, my dears, that when we recollect how\npatient and how mild he was; although he was a little, little child; we\nshall not quarrel easily among ourselves, and forget poor Tiny Tim in\ndoing it.'\n\n'No, never, father!' they all cried again.\n\n'I am very happy,' said little Bob, 'I am very happy", + "chunk_order_index": 33, + "full_doc_id": "doc-addb4618e1697da0445ec72a648e1f92" + }, + "chunk-91572b3cd42786ba4cb2f180ca25cbf4": { + "tokens": 1200, + "content": "there was among us?'\n\n'Never, father!' cried they all.\n\n'And I know,' said Bob, 'I know, my dears, that when we recollect how\npatient and how mild he was; although he was a little, little child; we\nshall not quarrel easily among ourselves, and forget poor Tiny Tim in\ndoing it.'\n\n'No, never, father!' they all cried again.\n\n'I am very happy,' said little Bob, 'I am very happy!'\n\nMrs. Cratchit kissed him, his daughters kissed him, the two young\nCratchits kissed him, and Peter and himself shook hands. Spirit of Tiny\nTim, thy childish essence was from God!\n\n'Spectre,' said Scrooge, 'something informs me that our parting moment\nis at hand. I know it but I know not how. Tell me what man that was whom\nwe saw lying dead?'\n\nThe Ghost of Christmas Yet to Come conveyed him, as before--though at a\ndifferent time, he thought: indeed there seemed no order in these latter\nvisions, save that they were in the Future--into the resorts of business\nmen, but showed him not himself. Indeed, the Spirit did not stay for\nanything, but went straight on, as to the end just now desired, until\nbesought by Scrooge to tarry for a moment.\n\n'This court,' said Scrooge, 'through which we hurry now, is where my\nplace of occupation is, and has been for a length of time. I see the\nhouse. Let me behold what I shall be in days to come.'\n\nThe Spirit stopped; the hand was pointed elsewhere.\n\n'The house is yonder,' Scrooge exclaimed. 'Why do you point away?'\n\nThe inexorable finger underwent no change.\n\nScrooge hastened to the window of his office, and looked in. It was an\noffice still, but not his. The furniture was not the same, and the\nfigure in the chair was not himself. The Phantom pointed as before.\n\nHe joined it once again, and, wondering why and whither he had gone,\naccompanied it until they reached an iron gate. He paused to look round\nbefore entering.\n\nA churchyard. Here, then, the wretched man, whose name he had now to\nlearn, lay underneath the ground. It was a worthy place. Walled in by\nhouses; overrun by grass and weeds, the growth of vegetation's death,\nnot life; choked up with too much burying; fat with repleted appetite. A\nworthy place!\n\nThe Spirit stood among the graves, and pointed down to One. He advanced\ntowards it trembling. The Phantom was exactly as it had been, but he\ndreaded that he saw new meaning in its solemn shape.\n\n'Before I draw nearer to that stone to which you point,' said Scrooge,\n'answer me one question. Are these the shadows of the things that Will\nbe, or are they shadows of the things that May be only?'\n\nStill the Ghost pointed downward to the grave by which it stood.\n\n'Men's courses will foreshadow certain ends, to which, if persevered in,\nthey must lead,' said Scrooge. 'But if the courses be departed from, the\nends will change. Say it is thus with what you show me!'\n\nThe Spirit was immovable as ever.\n\nScrooge crept towards it, trembling as he went; and, following the\nfinger, read upon the stone of the neglected grave his own name,\nEBENEZER SCROOGE.\n\n'Am I that man who lay upon the bed?' he cried upon his knees.\n\nThe finger pointed from the grave to him, and back again.\n\n'No, Spirit! Oh no, no!'\n\nThe finger still was there.\n\n'Spirit!' he cried, tight clutching at its robe, 'hear me! I am not the\nman I was. I will not be the man I must have been but for this\nintercourse. Why show me this, if I am past all hope?'\n\nFor the first time the hand appeared to shake.\n\n'Good Spirit,' he pursued, as down upon the ground he fell before it,\n'your nature intercedes for me, and pities me. Assure me that I yet may\nchange these shadows you have shown me by an altered life?'\n\nThe kind hand trembled.\n\n'I will honour Christmas in my heart, and try to keep it all the year. I\nwill live in the Past, the Present, and the Future. The Spirits of all\nThree shall strive within me. I will not shut out the lessons that they\nteach. Oh, tell me I may sponge away the writing on this stone!'\n\nIn his agony he caught the spectral hand. It sought to free itself, but\nhe was strong in his entreaty, and detained it. The Spirit stronger yet,\nrepulsed him.\n\nHolding up his hands in a last prayer to have his fate reversed, he saw\nan alteration in the Phantom's hood and dress. It shrunk, collapsed, and\ndwindled down into a bedpost.\n\n\nSTAVE FIVE\n\n\n[Illustration]\n\n\n\n\nTHE END OF IT\n\n\nYes! and the bedpost was his own. The bed was his own, the room was his\nown. Best and happiest of all, the Time before him was his own, to make\namends in!\n\n'I will live in the Past, the Present, and the Future!' Scrooge repeated\nas he scrambled out of bed. 'The Spirits of all Three shall strive\nwithin me. O Jacob Marley! Heaven and the Christmas Time be praised for\nthis! I say it on my knees, old Jacob; on my knees!'", + "chunk_order_index": 34, + "full_doc_id": "doc-addb4618e1697da0445ec72a648e1f92" + }, + "chunk-90b95db5c53e4364a6bee36b7aa4d70f": { + "tokens": 1200, + "content": "was his own, the room was his\nown. Best and happiest of all, the Time before him was his own, to make\namends in!\n\n'I will live in the Past, the Present, and the Future!' Scrooge repeated\nas he scrambled out of bed. 'The Spirits of all Three shall strive\nwithin me. O Jacob Marley! Heaven and the Christmas Time be praised for\nthis! I say it on my knees, old Jacob; on my knees!'\n\nHe was so fluttered and so glowing with his good intentions, that his\nbroken voice would scarcely answer to his call. He had been sobbing\nviolently in his conflict with the Spirit, and his face was wet with\ntears.\n\n'They are not torn down,' cried Scrooge, folding one of his bed-curtains\nin his arms, 'They are not torn down, rings and all. They are here--I am\nhere--the shadows of the things that would have been may be dispelled.\nThey will be. I know they will!'\n\nHis hands were busy with his garments all this time: turning them inside\nout, putting them on upside down, tearing them, mislaying them, making\nthem parties to every kind of extravagance.\n\n'I don't know what to do!' cried Scrooge, laughing and crying in the\nsame breath, and making a perfect Laocoon of himself with his stockings.\n'I am as light as a feather, I am as happy as an angel, I am as merry as\na schoolboy, I am as giddy as a drunken man. A merry Christmas to\neverybody! A happy New Year to all the world! Hallo here! Whoop! Hallo!'\n\nHe had frisked into the sitting-room, and was now standing there,\nperfectly winded.\n\n'There's the saucepan that the gruel was in!' cried Scrooge, starting\noff again, and going round the fireplace. 'There's the door by which the\nGhost of Jacob Marley entered! There's the corner where the Ghost of\nChristmas Present sat! There's the window where I saw the wandering\nSpirits! It's all right, it's all true, it all happened. Ha, ha, ha!'\n\nReally, for a man who had been out of practice for so many years, it was\na splendid laugh, a most illustrious laugh. The father of a long, long\nline of brilliant laughs!\n\n'I don't know what day of the month it is,' said Scrooge. 'I don't know\nhow long I have been among the Spirits. I don't know anything. I'm quite\na baby. Never mind. I don't care. I'd rather be a baby. Hallo! Whoop!\nHallo here!'\n\nHe was checked in his transports by the churches ringing out the\nlustiest peals he had ever heard. Clash, clash, hammer; ding, dong,\nbell! Bell, dong, ding; hammer, clash, clash! Oh, glorious, glorious!\n\nRunning to the window, he opened it, and put out his head. No fog, no\nmist; clear, bright, jovial, stirring, cold; cold, piping for the blood\nto dance to; golden sunlight; heavenly sky; sweet fresh air; merry\nbells. Oh, glorious! Glorious!\n\n'What's to-day?' cried Scrooge, calling downward to a boy in Sunday\nclothes, who perhaps had loitered in to look about him.\n\n'EH?' returned the boy with all his might of wonder.\n\n'What's to-day, my fine fellow?' said Scrooge.\n\n'To-day!' replied the boy. 'Why, CHRISTMAS DAY.'\n\n'It's Christmas Day!' said Scrooge to himself. 'I haven't missed it. The\nSpirits have done it all in one night. They can do anything they like.\nOf course they can. Of course they can. Hallo, my fine fellow!'\n\n'Hallo!' returned the boy.\n\n'Do you know the poulterer's in the next street but one, at the corner?'\nScrooge inquired.\n\n'I should hope I did,' replied the lad.\n\n'An intelligent boy!' said Scrooge. 'A remarkable boy! Do you know\nwhether they've sold the prize turkey that was hanging up there?--Not\nthe little prize turkey: the big one?'\n\n'What! the one as big as me?' returned the boy.\n\n'What a delightful boy!' said Scrooge. 'It's a pleasure to talk to him.\nYes, my buck!'\n\n'It's hanging there now,' replied the boy.\n\n'Is it?' said Scrooge. 'Go and buy it.'\n\n'Walk-ER!' exclaimed the boy.\n\n'No, no,' said Scrooge. 'I am in earnest. Go and buy it, and tell 'em to\nbring it here, that I may give them the directions where to take it.\nCome back with the man, and I'll give you a shilling. Come back with him\nin less than five minutes, and I'll give you half-a-crown!'\n\nThe boy was off like a shot. He must have had a steady hand at a trigger\nwho could have got a shot off half as fast.\n\n'I'll send it to Bob Cratchit's,' whispered Scrooge, rubbing his hands,\nand splitting with a laugh. 'He shan't know who sends it. It's twice the\nsize of Tiny Tim. Joe Miller never made such a joke as sending it to\nBob's will be!'\n\nThe hand in which he wrote the address was not a steady one; but write\nit he did, somehow, and went downstairs to open the street-door, ready\nfor the coming of the poulterer's man. As he stood there, waiting his\narrival, the", + "chunk_order_index": 35, + "full_doc_id": "doc-addb4618e1697da0445ec72a648e1f92" + }, + "chunk-8f738cb25d60a7dab782162d9d0a25ed": { + "tokens": 1200, + "content": "hands,\nand splitting with a laugh. 'He shan't know who sends it. It's twice the\nsize of Tiny Tim. Joe Miller never made such a joke as sending it to\nBob's will be!'\n\nThe hand in which he wrote the address was not a steady one; but write\nit he did, somehow, and went downstairs to open the street-door, ready\nfor the coming of the poulterer's man. As he stood there, waiting his\narrival, the knocker caught his eye.\n\n'I shall love it as long as I live!' cried Scrooge, patting it with his\nhand. 'I scarcely ever looked at it before. What an honest expression it\nhas in its face! It's a wonderful knocker!--Here's the turkey. Hallo!\nWhoop! How are you! Merry Christmas!'\n\nIt _was_ a turkey! He never could have stood upon his legs, that bird.\nHe would have snapped 'em short off in a minute, like sticks of\nsealing-wax.\n\n'Why, it's impossible to carry that to Camden Town,' said Scrooge. 'You\nmust have a cab.'\n\nThe chuckle with which he said this, and the chuckle with which he paid\nfor the turkey, and the chuckle with which he paid for the cab, and the\nchuckle with which he recompensed the boy, were only to be exceeded by\nthe chuckle with which he sat down breathless in his chair again, and\nchuckled till he cried.\n\nShaving was not an easy task, for his hand continued to shake very much;\nand shaving requires attention, even when you don't dance while you are\nat it. But if he had cut the end of his nose off, he would have put a\npiece of sticking-plaster over it, and been quite satisfied.\n\nHe dressed himself 'all in his best,' and at last got out into the\nstreets. The people were by this time pouring forth, as he had seen them\nwith the Ghost of Christmas Present; and, walking with his hands behind\nhim, Scrooge regarded every one with a delighted smile. He looked so\nirresistibly pleasant, in a word, that three or four good-humoured\nfellows said, 'Good-morning, sir! A merry Christmas to you!' And Scrooge\nsaid often afterwards that, of all the blithe sounds he had ever heard,\nthose were the blithest in his ears.\n\nHe had not gone far when, coming on towards him, he beheld the portly\ngentleman who had walked into his counting-house the day before, and\nsaid, 'Scrooge and Marley's, I believe?' It sent a pang across his heart\nto think how this old gentleman would look upon him when they met; but\nhe knew what path lay straight before him, and he took it.\n\n'My dear sir,' said Scrooge, quickening his pace, and taking the old\ngentleman by both his hands, 'how do you do? I hope you succeeded\nyesterday. It was very kind of you. A merry Christmas to you, sir!'\n\n'Mr. Scrooge?'\n\n'Yes,' said Scrooge. 'That is my name, and I fear it may not be pleasant\nto you. Allow me to ask your pardon. And will you have the goodness----'\nHere Scrooge whispered in his ear.\n\n'Lord bless me!' cried the gentleman, as if his breath were taken away.\n'My dear Mr. Scrooge, are you serious?'\n\n'If you please,' said Scrooge. 'Not a farthing less. A great many\nback-payments are included in it, I assure you. Will you do me that\nfavour?'\n\n'My dear sir,' said the other, shaking hands with him, 'I don't know\nwhat to say to such munifi----'\n\n'Don't say anything, please,' retorted Scrooge. 'Come and see me. Will\nyou come and see me?'\n\n'I will!' cried the old gentleman. And it was clear he meant to do it.\n\n'Thankee,' said Scrooge. 'I am much obliged to you. I thank you fifty\ntimes. Bless you!'\n\nHe went to church, and walked about the streets, and watched the people\nhurrying to and fro, and patted the children on the head, and questioned\nbeggars, and looked down into the kitchens of houses, and up to the\nwindows; and found that everything could yield him pleasure. He had\nnever dreamed that any walk--that anything--could give him so much\nhappiness. In the afternoon he turned his steps towards his nephew's\nhouse.\n\nHe passed the door a dozen times before he had the courage to go up and\nknock. But he made a dash and did it.\n\n'Is your master at home, my dear?' said Scrooge to the girl. 'Nice girl!\nVery.'\n\n'Yes, sir.'\n\n'Where is he, my love?' said Scrooge.\n\n'He's in the dining-room, sir, along with mistress. I'll show you\nupstairs, if you please.'\n\n'Thankee. He knows me,' said Scrooge, with his hand already on the\ndining-room lock. 'I'll go in here, my dear.'\n\nHe turned it gently, and sidled his face in round the door. They were\nlooking at the table (which was spread out in great array); for these\nyoung housekeepers are always nervous on such points, and like to see\nthat everything is right.\n\n'Fred!' said Scrooge.\n\nDear heart alive, how his niece by marriage started! Scrooge had\nforgotten,", + "chunk_order_index": 36, + "full_doc_id": "doc-addb4618e1697da0445ec72a648e1f92" + }, + "chunk-94bea83e7153fc2064aa382b494936a1": { + "tokens": 1200, + "content": "hand already on the\ndining-room lock. 'I'll go in here, my dear.'\n\nHe turned it gently, and sidled his face in round the door. They were\nlooking at the table (which was spread out in great array); for these\nyoung housekeepers are always nervous on such points, and like to see\nthat everything is right.\n\n'Fred!' said Scrooge.\n\nDear heart alive, how his niece by marriage started! Scrooge had\nforgotten, for the moment, about her sitting in the corner with the\nfootstool, or he wouldn't have done it on any account.\n\n'Why, bless my soul!' cried Fred, 'who's that?'\n\n[Illustration: _\"It's I, your uncle Scrooge. I have come to dinner. Will\nyou let me in, Fred?\"_]\n\n'It's I. Your uncle Scrooge. I have come to dinner. Will you let me in,\nFred?'\n\nLet him in! It is a mercy he didn't shake his arm off. He was at home in\nfive minutes. Nothing could be heartier. His niece looked just the same.\nSo did Topper when _he_ came. So did the plump sister when _she_ came.\nSo did every one when _they_ came. Wonderful party, wonderful games,\nwonderful unanimity, won-der-ful happiness!\n\nBut he was early at the office next morning. Oh, he was early there! If\nhe could only be there first, and catch Bob Cratchit coming late! That\nwas the thing he had set his heart upon.\n\nAnd he did it; yes, he did! The clock struck nine. No Bob. A quarter\npast. No Bob. He was full eighteen minutes and a half behind his time.\nScrooge sat with his door wide open, that he might see him come into the\ntank.\n\nHis hat was off before he opened the door; his comforter too. He was on\nhis stool in a jiffy, driving away with his pen, as if he were trying to\novertake nine o'clock.\n\n'Hallo!' growled Scrooge in his accustomed voice as near as he could\nfeign it. 'What do you mean by coming here at this time of day?'\n\n'I am very sorry, sir,' said Bob. 'I _am_ behind my time.'\n\n'You are!' repeated Scrooge. 'Yes, I think you are. Step this way, sir,\nif you please.'\n\n'It's only once a year, sir,' pleaded Bob, appearing from the tank. 'It\nshall not be repeated. I was making rather merry yesterday, sir.'\n\n'Now, I'll tell you what, my friend,' said Scrooge. 'I am not going to\nstand this sort of thing any longer. And therefore,' he continued,\nleaping from his stool, and giving Bob such a dig in the waistcoat that\nhe staggered back into the tank again--'and therefore I am about to\nraise your salary!'\n\nBob trembled, and got a little nearer to the ruler. He had a momentary\nidea of knocking Scrooge down with it, holding him, and calling to the\npeople in the court for help and a strait-waistcoat.\n\n'A merry Christmas, Bob!' said Scrooge, with an earnestness that could\nnot be mistaken, as he clapped him on the back. 'A merrier Christmas,\nBob, my good fellow, than I have given you for many a year! I'll raise\nyour salary, and endeavour to assist your struggling family, and we will\ndiscuss your affairs this very afternoon, over a Christmas bowl of\nsmoking bishop, Bob! Make up the fires and buy another coal-scuttle\nbefore you dot another i, Bob Cratchit!'\n\n[Illustration: _\"Now, I'll tell you what, my friend,\" said Scrooge. \"I\nam not going to stand this sort of thing any longer.\"_]\n\nScrooge was better than his word. He did it all, and infinitely more;\nand to Tiny Tim, who did NOT die, he was a second father. He became as\ngood a friend, as good a master, and as good a man as the good old\nCity knew, or any other good old city, town, or borough in the good old\nworld. Some people laughed to see the alteration in him, but he let them\nlaugh, and little heeded them; for he was wise enough to know that\nnothing ever happened on this globe, for good, at which some people did\nnot have their fill of laughter in the outset; and knowing that such as\nthese would be blind anyway, he thought it quite as well that they\nshould wrinkle up their eyes in grins as have the malady in less\nattractive forms. His own heart laughed, and that was quite enough for\nhim.\n\nHe had no further intercourse with Spirits, but lived upon the\nTotal-Abstinence Principle ever afterwards; and it was always said of\nhim that he knew how to keep Christmas well, if any man alive possessed\nthe knowledge. May that be truly said of us, and all of us! And so, as\nTiny Tim observed, God bless Us, Every One!\n\n[Illustration]\n\n+---------------------------------------------------------------+\n|Transcriber's note: The Contents were added by the transcriber.|\n+---------------------------------------------------------------+\n\n\n\n\n\n\n\n*** END OF THE PROJECT GUTENBERG EBOOK A CHRISTMAS CAROL ***\n\n\n \n\nUpdated editions will replace the previous one—the old editions will\nbe renamed.\n\nCreating the works from print editions not protected by U.S. copyright\nlaw means that no one owns a United States copyright in these works,\nso the Foundation (and you", + "chunk_order_index": 37, + "full_doc_id": "doc-addb4618e1697da0445ec72a648e1f92" + }, + "chunk-194cd9680f4967f48bea89678f7ece21": { + "tokens": 1200, + "content": "One!\n\n[Illustration]\n\n+---------------------------------------------------------------+\n|Transcriber's note: The Contents were added by the transcriber.|\n+---------------------------------------------------------------+\n\n\n\n\n\n\n\n*** END OF THE PROJECT GUTENBERG EBOOK A CHRISTMAS CAROL ***\n\n\n \n\nUpdated editions will replace the previous one—the old editions will\nbe renamed.\n\nCreating the works from print editions not protected by U.S. copyright\nlaw means that no one owns a United States copyright in these works,\nso the Foundation (and you!) can copy and distribute it in the United\nStates without permission and without paying copyright\nroyalties. 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lightrag - INFO - Load KV full_docs with 0 data +2024-10-29 13:32:26,189 - lightrag - INFO - Load KV text_chunks with 0 data +2024-10-29 13:32:26,189 - lightrag - INFO - Load KV llm_response_cache with 0 data +2024-10-29 13:32:26,190 - lightrag - INFO - Creating a new event loop in a sub-thread. +2024-10-29 13:32:26,190 - lightrag - INFO - [New Docs] inserting 1 docs +2024-10-29 13:32:26,366 - lightrag - INFO - [New Chunks] inserting 42 chunks +2024-10-29 13:32:26,366 - lightrag - INFO - Inserting 42 vectors to chunks +2024-10-29 13:32:29,041 - lightrag - INFO - [Entity Extraction]... +2024-10-29 13:33:22,411 - lightrag - INFO - _do_upsert:query: + MERGE (n:`PROJECT GUTENBERG`) + SET n += $properties + RETURN n + :result:{'entity_type': '"ORGANIZATION"', 'description': '"Project Gutenberg is a digital library offering free eBooks, allowing anyone to access literature in various formats without restrictions.""Project Gutenberg is a digital library providing free access to a wide range of eBooks, primarily in the United States and other regions, under specific licensing terms.""Project Gutenberg is an organization dedicated to the free distribution of electronic works and the preservation of the cultural heritage by providing access to public domain literature."', 'source_id': 'chunk-194cd9680f4967f48bea89678f7ece21chunk-af4ae173c561e4594c5aea96198cce9dchunk-9e3921da66da5d761ab73cd849af6c43'} +2024-10-29 13:33:22,678 - lightrag - INFO - _do_upsert:query: + MERGE (n:`A CHRISTMAS CAROL`) + SET n += $properties + RETURN n + :result:{'entity_type': '"EVENT"', 'description': '"A Christmas Carol is a novella by Charles Dickens that explores themes of redemption, compassion, and the spirit of Christmas, first published in 1843."', 'source_id': 'chunk-9e3921da66da5d761ab73cd849af6c43'} +2024-10-29 13:33:22,954 - lightrag - INFO - _do_upsert:query: + MERGE (n:`CHARLES DICKENS`) + SET n += $properties + RETURN n + :result:{'entity_type': '"PERSON"', 'description': '"Charles Dickens is a renowned English writer and social critic, best known for his novels depicting Victorian society, including A Christmas Carol."', 'source_id': 'chunk-9e3921da66da5d761ab73cd849af6c43'} +2024-10-29 13:33:23,226 - lightrag - INFO - _do_upsert:query: + MERGE (n:`ARTHUR RACKHAM`) + SET n += $properties + RETURN n + :result:{'entity_type': '"PERSON"', 'description': '"Arthur Rackham was an English illustrator known for his imaginative and detailed illustrations for children\'s books, including A Christmas Carol."', 'source_id': 'chunk-9e3921da66da5d761ab73cd849af6c43'} +2024-10-29 13:33:23,497 - lightrag - INFO - _do_upsert:query: + MERGE (n:`EBENEZER SCROOGE`) + SET n += $properties + RETURN n + :result:{'entity_type': '"PERSON"', 'description': '"Ebenezer Scrooge is a protagonist who experiences confusion and fear regarding the passage of time and supernatural events, especially concerned about a ghostly visitation.""Ebenezer Scrooge is the main character of A Christmas Carol, portrayed as a miserly and greedy old man who experiences a transformation through the visitation of spirits."', 'source_id': 'chunk-c7b10789a9cb0af6c553730b29bd9034chunk-9e3921da66da5d761ab73cd849af6c43'} +2024-10-29 13:33:23,767 - lightrag - INFO - _do_upsert:query: + MERGE (n:`BOB CRATCHIT`) + SET n += $properties + RETURN n + :result:{'entity_type': '"PERSON"', 'description': '"Bob Cratchit is Scrooge\'s clerk, depicted as a humble family man with limited income but a warm home atmosphere.""Bob Cratchit is Scrooge\'s clerk, who demonstrates a sense of hope and joy, particularly highlighted during Christmas Eve.""Bob Cratchit is Scrooge\'s employee who arrives late to work after celebrating Christmas, displaying a sense of trepidation toward Scrooge.""Bob Cratchit is a character associated with Scrooge, representing the family Scrooge intends to support by sending a turkey.""Bob Cratchit is a character who appears to be the voice of moderation and kindness, attempting to maintain positivity during the family Christmas feast despite Scrooge\'s presence.""Bob Cratchit is depicted as a struggling father, representative of familial love and concern, particularly for his children, including Tiny Tim.""Bob Cratchit is the dedicated clerk of Ebenezer Scrooge, representing the struggles of the working class and the importance of family in A Christmas Carol.""Bob Cratchit is the father of Tiny Tim and the head of the Cratchit family, who expresses joy and gratitude during Christmas dinner.""Bob Cratchit is the father of Tiny Tim, characterized by his kindness and emotional depth, especially in relation to his family\'s struggles.""Bob Cratchit is the father of the Cratchit family, characterized by his warmth and dedication to his family, particularly in caring for Tiny Tim."', 'source_id': 'chunk-83ac129dc9b56f84c46760d153d68e93chunk-503f0bfa5453467c7c61d160a3540ecachunk-90b95db5c53e4364a6bee36b7aa4d70fchunk-b0f459f5af1c3a5e0b92cbe4ee48b77bchunk-1d4b58de5429cd1261370c231c8673e8chunk-d9aac3484185ac66045df92214d245d5chunk-94bea83e7153fc2064aa382b494936a1chunk-7e2e7ebcc19a53b399dc03aded4743e7chunk-9e3921da66da5d761ab73cd849af6c43chunk-19d72c57ae3408758b18d2568e86dc6b'} +2024-10-29 13:33:24,038 - lightrag - INFO - _do_upsert:query: + MERGE (n:`TINY TIM`) + SET n += $properties + RETURN n + :result:{'entity_type': '"PERSON"', 'description': '"Tiny Tim is Bob Cratchit\'s son, who represents innocence and the impact of Scrooge\'s change of heart.""Tiny Tim is a member of the Cratchit family, who represents the innocence and impact of Scrooge\'s generosity.""Tiny Tim is a symbol of innocence and vulnerability within the Cratchit family, evoking compassion and highlighting the harsh realities of illness and poverty.""Tiny Tim is a symbolic character representing innocence and the impact of loss on family cohesion.""Tiny Tim is a young boy in the Cratchit family, characterized by his spirit and resilience despite being a cripple, symbolizing hope and kindness during Christmas.""Tiny Tim is a young boy in the Cratchit family, who is portrayed as frail yet joyous and embodies the spirit of Christmas.""Tiny Tim is a young child in the Cratchit family, whose health and well-being are of great concern to his family, and he is remembered fondly.""Tiny Tim is depicted as a vulnerable child who participates in the Christmas toast but seems indifferent to it, symbolizing the family\'s struggles.""Tiny Tim, the son of Bob Cratchit, is a sickly child whose positive outlook on life symbolizes hope and compassion in A Christmas Carol."', 'source_id': 'chunk-83ac129dc9b56f84c46760d153d68e93chunk-503f0bfa5453467c7c61d160a3540ecachunk-91572b3cd42786ba4cb2f180ca25cbf4chunk-1d4b58de5429cd1261370c231c8673e8chunk-90b95db5c53e4364a6bee36b7aa4d70fchunk-94bea83e7153fc2064aa382b494936a1chunk-7e2e7ebcc19a53b399dc03aded4743e7chunk-9e3921da66da5d761ab73cd849af6c43chunk-19d72c57ae3408758b18d2568e86dc6b'} +2024-10-29 13:33:24,309 - lightrag - INFO - _do_upsert:query: + MERGE (n:`GHOST OF CHRISTMAS PAST`) + SET n += $properties + RETURN n + :result:{'entity_type': '"EVENT"', 'description': '"The Ghost of Christmas Past is a supernatural character that shows Scrooge his past, helping him understand the roots of his current miserliness.""The Ghost of Christmas Past is a supernatural entity that aids Scrooge in reflecting on his past experiences and emotions."', 'source_id': 'chunk-bb21d58d36c6306fd8810ddd51c4a971chunk-9e3921da66da5d761ab73cd849af6c43'} +2024-10-29 13:33:24,576 - lightrag - INFO - _do_upsert:query: + MERGE (n:`GHOST OF CHRISTMAS PRESENT`) + SET n += $properties + RETURN n + :result:{'entity_type': '"EVENT"', 'description': '"The Ghost of Christmas Present is a spirit that embodies generosity and abundance, leading Scrooge to self-reflection and understanding.""The Ghost of Christmas Present is a spirit that reveals to Scrooge the joys and struggles of the present Christmas season, emphasizing generosity and compassion."', 'source_id': 'chunk-843b5b2f944c7413d9ca876e2e2f151fchunk-9e3921da66da5d761ab73cd849af6c43'} +2024-10-29 13:33:24,851 - lightrag - INFO - _do_upsert:query: + MERGE (n:`GHOST OF CHRISTMAS YET TO COME`) + SET n += $properties + RETURN n + :result:{'entity_type': '"EVENT"', 'description': '"The Ghost of Christmas Yet to Come is an apparition that presents Scrooge with a grim vision of his possible future if he doesn\'t change his ways.""The Ghost of Christmas Yet to Come is an event within the story that signifies Scrooge\'s confrontation with the future consequences of his actions."', 'source_id': 'chunk-9e3921da66da5d761ab73cd849af6c43chunk-02baee20cc9463dbe08170a8e1043e32'} +2024-10-29 13:33:25,124 - lightrag - INFO - _do_upsert:query: + MERGE (n:`FRED`) + SET n += $properties + RETURN n + :result:{'entity_type': '"PERSON"', 'description': '"Fred is Ebenezer Scrooge\'s lively nephew, who embodies the spirit of Christmas and contrasts with Scrooge\'s misanthropy by inviting him to family gatherings.""Fred is Scrooge\'s nephew who expresses admiration for his uncle and proposes a toast in his honor during a Christmas gathering.""Fred is Scrooge\'s nephew, mentioned in the context of Scrooge\'s visit to his house.""Fred is Scrooge\'s nephew, representing the warmth and joy of family that Scrooge initially rejects.""Fred is Scrooge\'s niece by marriage who expresses surprise and warmth at Scrooge\'s unexpected visit for dinner."', 'source_id': 'chunk-8f738cb25d60a7dab782162d9d0a25edchunk-e7637ff18c5ded77a68cce0a87883fadchunk-94bea83e7153fc2064aa382b494936a1chunk-89777b838d5447c7bd1ec11282c4ee89chunk-9e3921da66da5d761ab73cd849af6c43'} +2024-10-29 13:33:25,397 - lightrag - INFO - _do_upsert:query: + MERGE (n:`MR. FEZZIWIG`) + SET n += $properties + RETURN n + :result:{'entity_type': '"PERSON"', 'description': '"Mr. Fezziwig is a kind-hearted old merchant who served as a mentor to Scrooge, representing generosity and the joy of Christmas through his festive parties."', 'source_id': 'chunk-9e3921da66da5d761ab73cd849af6c43'} +2024-10-29 13:33:25,659 - lightrag - INFO - _do_upsert:query: + MERGE (n:`MRS. CRATCHIT`) + SET n += $properties + RETURN n + :result:{'entity_type': '"PERSON"', 'description': '"Mrs. Cratchit expresses strong disdain for Scrooge, highlighting her feelings towards him during the Christmas festivities.""Mrs. Cratchit is Bob Cratchit\'s supportive wife, who strives to provide for her family despite their financial struggles and embodies resilience.""Mrs. Cratchit is Bob\'s wife who prepares the Christmas pudding, showcasing her pride and care in family traditions.""Mrs. Cratchit is Bob\'s wife, a supportive mother who manages the household while showing concern for her children\'s well-being.""Mrs. Cratchit is Bob\'s wife, portrayed as making an effort to prepare a festive atmosphere despite their financial struggles.""Mrs. Cratchit is a character who shows affection towards Bob, enhancing the family dynamic.""Mrs. Cratchit is the mother in the family who prepares the meal and shows warmth and attentiveness towards her family members during their Christmas celebration."', 'source_id': 'chunk-503f0bfa5453467c7c61d160a3540ecachunk-b0f459f5af1c3a5e0b92cbe4ee48b77bchunk-91572b3cd42786ba4cb2f180ca25cbf4chunk-1d4b58de5429cd1261370c231c8673e8chunk-7e2e7ebcc19a53b399dc03aded4743e7chunk-9e3921da66da5d761ab73cd849af6c43chunk-19d72c57ae3408758b18d2568e86dc6b'} +2024-10-29 13:33:25,931 - lightrag - INFO - _do_upsert:query: + MERGE (n:`BELINDA CRATCHIT`) + SET n += $properties + RETURN n + :result:{'entity_type': '"PERSON"', 'description': '"Belinda Cratchit is another daughter in the Cratchit family, depicted as participating in the festive meal by sweetening the apple sauce, showcasing her involvement in family traditions.""Belinda Cratchit is one of Bob Cratchit\'s daughters, assisting her mother in laying the dining cloth.""Belinda is a daughter of Bob and Mrs. Cratchit, representing the Cratchit family\'s love and unity during difficult times."', 'source_id': 'chunk-7e2e7ebcc19a53b399dc03aded4743e7chunk-9e3921da66da5d761ab73cd849af6c43chunk-b0f459f5af1c3a5e0b92cbe4ee48b77b'} +2024-10-29 13:33:26,201 - lightrag - INFO - _do_upsert:query: + MERGE (n:`MARTHA CRATCHIT`) + SET n += $properties + RETURN n + :result:{'entity_type': '"PERSON"', 'description': '"Martha Cratchit is a daughter in the Cratchit family who contributes to the household and shows affection for her family, particularly her father Bob.""Martha is another daughter of Bob and Mrs. Cratchit, who, like her sister Belinda, symbolizes the warmth and togetherness in the Cratchit household."', 'source_id': 'chunk-7e2e7ebcc19a53b399dc03aded4743e7chunk-9e3921da66da5d761ab73cd849af6c43'} +2024-10-29 13:33:26,474 - lightrag - INFO - _do_upsert:query: + MERGE (n:`JOE`) + SET n += $properties + RETURN n + :result:{'entity_type': '"PERSON"', 'description': '"Joe is a character engaged in a conversation, displaying curiosity and a sense of humor regarding a situation related to \'bed-curtains\'.""Joe is a marine-store dealer depicted as receiving stolen goods, illustrating the consequences of crime and the darker sides of society.""Joe is portrayed as a character engaged in a conversation about the deceased, displaying a mix of humor and practicality in dealing with the possessions of the dead."', 'source_id': 'chunk-89777b838d5447c7bd1ec11282c4ee89chunk-9e3921da66da5d761ab73cd849af6c43chunk-e1f29eeadc1d8ab46dc8a0bbd3c56b64'} +2024-10-29 13:33:26,752 - lightrag - INFO - _do_upsert:query: + MERGE (n:`GHOST OF JACOB MARLEY`) + SET n += $properties + RETURN n + :result:{'entity_type': '"EVENT"', 'description': '"The Ghost of Jacob Marley is Scrooge\'s deceased business partner who returns as a spirit to warn Scrooge about the consequences of his life choices and to encourage change."', 'source_id': 'chunk-9e3921da66da5d761ab73cd849af6c43'} +2024-10-29 13:33:27,022 - lightrag - INFO - _do_upsert:query: + MERGE (n:`FAN`) + SET n += $properties + RETURN n + :result:{'entity_type': '"PERSON"', 'description': '"Fan is Scrooge\'s caring sister who represents innocence and love, showcasing a more tender side of Scrooge’s past."', 'source_id': 'chunk-9e3921da66da5d761ab73cd849af6c43'} +2024-10-29 13:33:27,295 - lightrag - INFO - _do_upsert:query: + MERGE (n:`MRS. FEZZIWIG`) + SET n += $properties + RETURN n + :result:{'entity_type': '"PERSON"', 'description': '"Mrs. Fezziwig is Fezziwig\'s partner at the domestic ball, contributing to the festive atmosphere alongside her husband.""Mrs. Fezziwig is the kind partner of Mr. Fezziwig, contributing to the festive atmosphere of their celebrations, emphasizing the importance of joyous gatherings.""Mrs. Fezziwig is the wife of Fezziwig, joining him in celebrations and dances, embodying warmth and partnership.""Mrs. Fezziwig is the wife of Fezziwig, participating in the dance, representing companionship and festive cheer."', 'source_id': 'chunk-b2f98bc7abb0c67d4c86055c7fd72218chunk-89777b838d5447c7bd1ec11282c4ee89chunk-9e3921da66da5d761ab73cd849af6c43chunk-8bc1edd983869352d14cf0886a9175a7'} +2024-10-29 13:33:27,562 - lightrag - INFO - _do_upsert:query: + MERGE (n:`FEZZIWIG`) + SET n += $properties + RETURN n + :result:{'entity_type': '"PERSON"', 'description': '"Fezziwig is a character noted for his role during a domestic ball, providing a joyful atmosphere and exemplifying kindness and generosity.""Fezziwig is a figure representing a cheerful and jovial employer who organizes lively Christmas festivities for his employees.""Fezziwig is a jovial figure from Scrooge\'s past, known for his kind-heartedness and as a former employer who embodies the spirit of Christmas.""Fezziwig is depicted as a joyful character who dances with his wife and embodies the spirit of Christmas."', 'source_id': 'chunk-b2f98bc7abb0c67d4c86055c7fd72218chunk-89777b838d5447c7bd1ec11282c4ee89chunk-c6c248858d1b13ab7ee9ca13c1aeed6bchunk-8bc1edd983869352d14cf0886a9175a7'} +2024-10-29 13:33:27,700 - lightrag - DEBUG - Trigger summary: "SCROOGE" +2024-10-29 13:33:27,941 - lightrag - INFO - _do_upsert:query: + MERGE (n:`MARLEY`) + SET n += $properties + RETURN n + :result:{'entity_type': '"PERSON"', 'description': '"Marley is Scrooge\'s deceased business partner, whose spectral presence looms over Scrooge, evoking themes of regret and the supernatural.""Marley is Scrooge\'s deceased partner whose death is emphasized, and who impacts Scrooge\'s story through memories and reflections.""Marley is a character who, although only mentioned, has had a significant influence on Scrooge\'s life and perspective, representing his past connections.""Marley is a deceased character whose ghost appears to Scrooge, representing regret and the consequences of a life led without compassion."', 'source_id': 'chunk-d9aac3484185ac66045df92214d245d5chunk-843b5b2f944c7413d9ca876e2e2f151fchunk-89777b838d5447c7bd1ec11282c4ee89chunk-9c43dac2fcd5b578242d907ea6f8fc7b'} +2024-10-29 13:33:28,214 - lightrag - INFO - _do_upsert:query: + MERGE (n:`CHRISTMAS`) + SET n += $properties + RETURN n + :result:{'entity_type': '"EVENT"', 'description': '"Christmas is a festive occasion that brings the Cratchit family together, highlighting themes of love, loss, and remembrance.""Christmas is a festive occasion that has led to a joyful transformation in Scrooge\'s character and actions.""Christmas is a festive time celebrated by the Cratchit family, symbolizing joy, family togetherness, and generosity.""Christmas is a significant holiday that serves as the backdrop for Scrooge\'s transformation and the events that unfold during the narrative.""Christmas is a significant holiday that triggers Scrooge\'s memories and reflections on joy, loneliness, and his past.""Christmas is central to the text, symbolizing generosity, charity, and warmth that Scrooge rejects.""Christmas is depicted as a festive season when charity and social duty are emphasized, contrasting with Scrooge\'s values.""Christmas is depicted as a time associated with joy and abundance, contrasting with Scrooge\'s initial views.""Christmas is depicted as a time of joy and communal spirit, marked by people\'s activities and interactions in the streets.""Christmas is depicted as a time of joy and generosity, contrasting sharply with Scrooge\'s past behavior and current solitude.""Christmas is portrayed as a festive time that Scrooge dismisses, emphasizing the contrast between joy and his miserable attitude.""Christmas is portrayed as a time of joy, reflection, and connection, emphasizing the positive impact of the holiday spirit on individuals and communities.""Christmas is presented as a time for merriment and social gatherings, which Scrooge\'s nephew advocates for despite his uncle\'s opposition.""Christmas is the central holiday during which the events unfold, leading to significant character transformations and themes of generosity.""Christmas is the season during which festive activities and celebrations are occurring, including dances and gatherings.""Christmas represents a time of reflection and change for Scrooge, emphasizing themes of redemption.""Christmas serves as a thematic backdrop for the story, symbolizing redemption, generosity, and the spirit of giving."', 'source_id': 'chunk-91614df5cb74cbe5e109a338a82041e9chunk-503f0bfa5453467c7c61d160a3540ecachunk-773d0df1dd25c356f7b771d780583e09chunk-8f738cb25d60a7dab782162d9d0a25edchunk-e7637ff18c5ded77a68cce0a87883fadchunk-8590d9263cd2cd4fa583c432fc54e6c3chunk-54bdd22db1f84a965b5f4c06c9216d8dchunk-02baee20cc9463dbe08170a8e1043e32chunk-90d5764e301321c087f5a8f78b73a145chunk-91572b3cd42786ba4cb2f180ca25cbf4chunk-1d4b58de5429cd1261370c231c8673e8chunk-da2472b4ef2a535b62908f14d0fb0ca9chunk-94bea83e7153fc2064aa382b494936a1chunk-89777b838d5447c7bd1ec11282c4ee89chunk-99b0ec7f7e006561352b5d65e849611dchunk-74e2466de2f67fd710ef2f20c0a8d9e0chunk-5dac41b3f9eeaf794f0147400b1718cd'} +2024-10-29 13:33:28,486 - lightrag - INFO - _do_upsert:query: + MERGE (n:`THE PLUMP SISTER`) + SET n += $properties + RETURN n + :result:{'entity_type': '"PERSON"', 'description': '"The Plump Sister is depicted in a light-hearted and humorous context, illustrating the fun of Christmas gatherings.""The plump sister is a character involved in the games, specifically blind man\'s-buff, and captures Topper\'s attention during the festivities."', 'source_id': 'chunk-89777b838d5447c7bd1ec11282c4ee89chunk-43c9bee23adfa77aa9dedd22401bba7d'} +2024-10-29 13:33:28,756 - lightrag - INFO - _do_upsert:query: + MERGE (n:`THE WOMAN`) + SET n += $properties + RETURN n + :result:{'entity_type': '"PERSON"', 'description': '"The Woman engages in a humorous exchange with Joe about taking down bed-curtains, showcasing lively communication among characters.""The Woman is a character involved in the dialogue about the deceased\'s belongings, showing a carefree attitude towards their former owner.""The Woman is a character who enters the shop with a heavy bundle and demonstrates a bold and defiant demeanor, eager to take part in the conversation about the deceased\'s belongings."', 'source_id': 'chunk-60fc063c79fc0d4acc91a57e79de04dcchunk-89777b838d5447c7bd1ec11282c4ee89chunk-e1f29eeadc1d8ab46dc8a0bbd3c56b64'} +2024-10-29 13:33:29,033 - lightrag - INFO - _do_upsert:query: + MERGE (n:`OLD SCRATCH`) + SET n += $properties + RETURN n + :result:{'entity_type': '"PERSON"', 'description': '"Old Scratch is mentioned as a figure related to the conversation, symbolizing mischief and humor."', 'source_id': 'chunk-89777b838d5447c7bd1ec11282c4ee89'} +2024-10-29 13:33:29,305 - lightrag - INFO - _do_upsert:query: + MERGE (n:`THE REGISTER`) + SET n += $properties + RETURN n + :result:{'entity_type': '"EVENT"', 'description': '"The Register documents Marley\'s burial, highlighting the formal acknowledgment of his death."', 'source_id': 'chunk-89777b838d5447c7bd1ec11282c4ee89'} +2024-10-29 13:33:29,579 - lightrag - INFO - _do_upsert:query: + MERGE (n:`THE FUNERAL`) + SET n += $properties + RETURN n + :result:{'entity_type': '"EVENT"', 'description': '"The Funeral serves as a significant event reflecting on Marley\'s death, noted for its business-like atmosphere as perceived by Scrooge."', 'source_id': 'chunk-89777b838d5447c7bd1ec11282c4ee89'} +2024-10-29 13:33:29,843 - lightrag - INFO - _do_upsert:query: + MERGE (n:`SCROOGE'S NEPHEW`) + SET n += $properties + RETURN n + :result:{'entity_type': '"PERSON"', 'description': '"Scrooge\'s Nephew is a cheerful and optimistic character who represents the spirit of Christmas, opposing Scrooge\'s views.""Scrooge\'s Nephew is characterized by his contagious laughter and good humor, contrasting with his uncle\'s miserliness.""Scrooge\'s Nephew is portrayed as optimistic about Christmas, emphasizing its positive qualities despite Scrooge\'s negativity.""Scrooge\'s nephew is a character present at the gathering who actively participates in the games and engages with his family."', 'source_id': 'chunk-43c9bee23adfa77aa9dedd22401bba7dchunk-773d0df1dd25c356f7b771d780583e09chunk-74e2466de2f67fd710ef2f20c0a8d9e0chunk-5dac41b3f9eeaf794f0147400b1718cd'} +2024-10-29 13:33:30,117 - lightrag - INFO - _do_upsert:query: + MERGE (n:`THE COUNTING-HOUSE`) + SET n += $properties + RETURN n + :result:{'entity_type': '"ORGANIZATION"', 'description': '"The Counting-House is Scrooge\'s place of work, characterized by a gloomy demeanor and an atmosphere that reflects Scrooge\'s character.""The Counting-House is where Scrooge works and is characterized by its cold and unwelcoming environment."', 'source_id': 'chunk-d9aac3484185ac66045df92214d245d5chunk-74e2466de2f67fd710ef2f20c0a8d9e0'} +2024-10-29 13:33:30,388 - lightrag - INFO - _do_upsert:query: + MERGE (n:`THE COLD`) + SET n += $properties + RETURN n + :result:{'entity_type': '"CONCEPT"', 'description': '"The Cold represents the emotional and physical chill that surrounds Scrooge, symbolizing his heartless nature and isolation from others."', 'source_id': 'chunk-74e2466de2f67fd710ef2f20c0a8d9e0'} +2024-10-29 13:33:30,660 - lightrag - INFO - _do_upsert:query: + MERGE (n:`FOG`) + SET n += $properties + RETURN n + :result:{'entity_type': '"GEO"', 'description': '"Fog is a weather condition mentioned that enhances the dreary atmosphere surrounding Scrooge\'s home and workplace.""Fog is a weather phenomenon that adds to the bleak atmosphere, reflecting the obscurity and confusion in Scrooge\'s life."', 'source_id': 'chunk-d9aac3484185ac66045df92214d245d5chunk-74e2466de2f67fd710ef2f20c0a8d9e0'} +2024-10-29 13:33:30,935 - lightrag - INFO - _do_upsert:query: + MERGE (n:`THE CLERK`) + SET n += $properties + RETURN n + :result:{'entity_type': '"PERSON"', 'description': '"The Clerk is a subordinate to Scrooge who serves as a contrast to his boss\'s character, showing warmth and holiday spirit.""The Clerk is an employee of Scrooge, who quietly awaits the end of the workday and represents the working class.""The Clerk works in Scrooge\'s counting-house, depicted as miserable and diminished under Scrooge\'s strict management."', 'source_id': 'chunk-90d5764e301321c087f5a8f78b73a145chunk-74e2466de2f67fd710ef2f20c0a8d9e0chunk-5dac41b3f9eeaf794f0147400b1718cd'} +2024-10-29 13:33:31,204 - lightrag - INFO - _do_upsert:query: + MERGE (n:`CHRISTMAS EVE`) + SET n += $properties + RETURN n + :result:{'entity_type': '"EVENT"', 'description': '"Christmas Eve is depicted as a significant time, bringing about joyful activities like sliding down snow hills, contrasting with Scrooge\'s dour demeanor.""Christmas Eve is the night before Christmas, serving as the backdrop for the lively celebrations and dances hosted by Fezziwig.""Christmas Eve is the specific time setting in the story, highlighting the contrast between the joy of the holiday and Scrooge\'s negativity."', 'source_id': 'chunk-d9aac3484185ac66045df92214d245d5chunk-8bc1edd983869352d14cf0886a9175a7chunk-74e2466de2f67fd710ef2f20c0a8d9e0'} +2024-10-29 13:33:31,477 - lightrag - INFO - _do_upsert:query: + MERGE (n:`THE CITY`) + SET n += $properties + RETURN n + :result:{'entity_type': '"GEO"', 'description': '"The City provides the backdrop for Scrooge\'s story, representing the bustling environment that underscores his loneliness and detachment from society.""The City represents the bustling urban environment where Scrooge reflects on his past, filled with activity and shadowy figures.""The City, from which Scrooge is transported, represents his past life and is contrasted with the open country road that signifies his memories."', 'source_id': 'chunk-bb21d58d36c6306fd8810ddd51c4a971chunk-c6c248858d1b13ab7ee9ca13c1aeed6bchunk-74e2466de2f67fd710ef2f20c0a8d9e0'} +2024-10-29 13:33:31,741 - lightrag - INFO - _do_upsert:query: + MERGE (n:`MR. MARLEY`) + SET n += $properties + RETURN n + :result:{'entity_type': '"PERSON"', 'description': '"Mr. Marley is Scrooge\'s deceased business partner who died seven years ago, representing a connection to Scrooge\'s past and his current miserly outlook."', 'source_id': 'chunk-5dac41b3f9eeaf794f0147400b1718cd'} +2024-10-29 13:33:32,024 - lightrag - INFO - _do_upsert:query: + MERGE (n:`LIBERTY`) + SET n += $properties + RETURN n + :result:{'entity_type': '"EVENT"', 'description': '"The discussion around liberality represents a call to generosity and charity during the festive season, which Scrooge rebuffs."', 'source_id': 'chunk-5dac41b3f9eeaf794f0147400b1718cd'} +2024-10-29 13:33:32,300 - lightrag - INFO - _do_upsert:query: + MERGE (n:`PORTLY GENTLEMEN`) + SET n += $properties + RETURN n + :result:{'entity_type': '"PERSON"', 'description': '"The Portly Gentlemen are representatives who seek to gather funds for the poor during Christmas, embodying the spirit of generosity that Scrooge rejects."', 'source_id': 'chunk-5dac41b3f9eeaf794f0147400b1718cd'} +2024-10-29 13:33:32,574 - lightrag - INFO - _do_upsert:query: + MERGE (n:`CREDENTIALS`) + SET n += $properties + RETURN n + :result:{'entity_type': '"EVENT"', 'description': '"The Credentials refer to the documents presented by the Portly Gentlemen, indicating their legitimacy and purpose in seeking donations from Scrooge."', 'source_id': 'chunk-5dac41b3f9eeaf794f0147400b1718cd'} +2024-10-29 13:33:32,847 - lightrag - INFO - _do_upsert:query: + MERGE (n:`BEDLAM`) + SET n += $properties + RETURN n + :result:{'entity_type': '"GEO"', 'description': '"Bedlam is referenced as a metaphorical place for madness, illustrating Scrooge\'s disdain for the cheerful nature of Christmas and his sense of isolation."', 'source_id': 'chunk-5dac41b3f9eeaf794f0147400b1718cd'} +2024-10-29 13:33:33,118 - lightrag - INFO - _do_upsert:query: + MERGE (n:`CHRISTMAS-TIME`) + SET n += $properties + RETURN n + :result:{'entity_type': '"EVENT"', 'description': '"Christmas-time is characterized as a period filled with festivities, joy, and community engagement, which Scrooge regards cynically.""Christmas-time represents the festive season, a recurring theme that evokes memories and emotions in Scrooge’s reflections.""Christmas-time serves as a backdrop for the narrative, emphasizing themes of reflection, mortality, and social interactions."', 'source_id': 'chunk-f1a4fbcf1ed86864b9bfd5e8dba4c683chunk-c6c248858d1b13ab7ee9ca13c1aeed6bchunk-5dac41b3f9eeaf794f0147400b1718cd'} +2024-10-29 13:33:33,435 - lightrag - INFO - _do_upsert:query: + MERGE (n:`THE GENTLEMAN`) + SET n += $properties + RETURN n + :result:{'entity_type': '"PERSON"', 'description': '"The Gentleman is a character who advocates for helping the poor and trying to raise a fund for those in need during Christmas."', 'source_id': 'chunk-90d5764e301321c087f5a8f78b73a145'} +2024-10-29 13:33:33,711 - lightrag - INFO - _do_upsert:query: + MERGE (n:`THE UNION WORKHOUSES`) + SET n += $properties + RETURN n + :result:{'entity_type': '"ORGANIZATION"', 'description': '"The Union Workhouses are institutions mentioned as a means of supporting the poor, still operational during Scrooge\'s time."', 'source_id': 'chunk-90d5764e301321c087f5a8f78b73a145'} +2024-10-29 13:33:33,978 - lightrag - INFO - _do_upsert:query: + MERGE (n:`THE TREADMILL`) + SET n += $properties + RETURN n + :result:{'entity_type': '"ORGANIZATION"', 'description': '"The Treadmill is an institution referenced as part of the welfare system that Scrooge acknowledges."', 'source_id': 'chunk-90d5764e301321c087f5a8f78b73a145'} +2024-10-29 13:33:34,258 - lightrag - INFO - _do_upsert:query: + MERGE (n:`THE MAIN STREET`) + SET n += $properties + RETURN n + :result:{'entity_type': '"GEO"', 'description': '"The Main Street is a location described where activity is bustling during the cold season, reflecting the social dynamics of the area."', 'source_id': 'chunk-90d5764e301321c087f5a8f78b73a145'} +2024-10-29 13:33:34,544 - lightrag - INFO - _do_upsert:query: + MERGE (n:`THE MANSION HOUSE`) + SET n += $properties + RETURN n + :result:{'entity_type': '"ORGANIZATION"', 'description': '"The Mansion House is identified as the residence of the Lord Mayor, a place associated with Christmas festivities and order."', 'source_id': 'chunk-90d5764e301321c087f5a8f78b73a145'} +2024-10-29 13:33:34,816 - lightrag - INFO - _do_upsert:query: + MERGE (n:`THE POOR`) + SET n += $properties + RETURN n + :result:{'entity_type': '"PERSON"', 'description': '"The Poor refers to the individuals in society who are destitute and in need of assistance, often highlighted in discussions about charity during Christmas."', 'source_id': 'chunk-90d5764e301321c087f5a8f78b73a145'} +2024-10-29 13:33:35,092 - lightrag - INFO - _do_upsert:query: + MERGE (n:`CHRISTMAS CAROL`) + SET n += $properties + RETURN n + :result:{'entity_type': '"EVENT"', 'description': '"A Christmas Carol is referenced as a song that Scrooge recalls when thinking about giving and community.""The Christmas Carol is a musical tradition performed during the Christmas season, symbolizing goodwill and festive spirit."', 'source_id': 'chunk-90d5764e301321c087f5a8f78b73a145chunk-8590d9263cd2cd4fa583c432fc54e6c3'} +2024-10-29 13:33:35,356 - lightrag - INFO - _do_upsert:query: + MERGE (n:`THE FOG`) + SET n += $properties + RETURN n + :result:{'entity_type': '"GEO"', 'description': '"The Fog is a weather condition described as thickening around Scrooge, metaphorically representing the gloomy atmosphere surrounding him."', 'source_id': 'chunk-90d5764e301321c087f5a8f78b73a145'} +2024-10-29 13:33:35,625 - lightrag - INFO - _do_upsert:query: + MERGE (n:`THE GAS-PIPES`) + SET n += $properties + RETURN n + :result:{'entity_type': '"ORGANIZATION"', 'description': '"The Gas-pipes are mentioned as undergoing repairs in The Main Street, indicating the infrastructure\'s role in the community during winter."', 'source_id': 'chunk-90d5764e301321c087f5a8f78b73a145'} +2024-10-29 13:33:35,894 - lightrag - INFO - _do_upsert:query: + MERGE (n:`THE LABOURERS`) + SET n += $properties + RETURN n + :result:{'entity_type': '"ORGANIZATION"', 'description': '"The Labourers refer to the workers repairing the gas-pipes, reflecting the lower working-class experiencing harsh winter conditions."', 'source_id': 'chunk-90d5764e301321c087f5a8f78b73a145'} +2024-10-29 13:33:36,162 - lightrag - INFO - _do_upsert:query: + MERGE (n:`THE LORD MAYOR`) + SET n += $properties + RETURN n + :result:{'entity_type': '"PERSON"', 'description': '"The Lord Mayor is a civic leader responsible for overseeing Christmas festivities and ensuring proper celebrations in the town."', 'source_id': 'chunk-90d5764e301321c087f5a8f78b73a145'} +2024-10-29 13:33:36,436 - lightrag - INFO - _do_upsert:query: + MERGE (n:`THE TAILOR`) + SET n += $properties + RETURN n + :result:{'entity_type': '"PERSON"', 'description': '"The Tailor is a character referenced as preparing for Christmas by stirring pudding, illustrating the engagement of tradespeople in holiday traditions."', 'source_id': 'chunk-90d5764e301321c087f5a8f78b73a145'} +2024-10-29 13:33:36,712 - lightrag - INFO - _do_upsert:query: + MERGE (n:`THE PUDDING`) + SET n += $properties + RETURN n + :result:{'entity_type': '"EVENT"', 'description': '"The Pudding is a traditional dish prepared for Christmas, symbolizing festivity and the warmth of family gatherings."', 'source_id': 'chunk-90d5764e301321c087f5a8f78b73a145'} +2024-10-29 13:33:36,991 - lightrag - INFO - _do_upsert:query: + MERGE (n:`ST. DUNSTAN`) + SET n += $properties + RETURN n + :result:{'entity_type': '"PERSON"', 'description': '"St. Dunstan is a historical figure mentioned metaphorically, associated with a legend of confronting evil, reflecting the theme of good versus evil."', 'source_id': 'chunk-90d5764e301321c087f5a8f78b73a145'} +2024-10-29 13:33:37,266 - lightrag - INFO - _do_upsert:query: + MERGE (n:`LONDON`) + SET n += $properties + RETURN n + :result:{'entity_type': '"GEO"', 'description': '"London serves as the geographical setting for the story, encapsulating the harsh winter atmosphere and the life of its inhabitants during the festive season.""London serves as the setting where the events take place, adding a cultural backdrop to the Christmas gathering."', 'source_id': 'chunk-d9aac3484185ac66045df92214d245d5chunk-43c9bee23adfa77aa9dedd22401bba7d'} +2024-10-29 13:33:37,547 - lightrag - INFO - _do_upsert:query: + MERGE (n:`CLERK`) + SET n += $properties + RETURN n + :result:{'entity_type': '"PERSON"', 'description': '"The Clerk is an unnamed character who serves Scrooge, exhibiting a hopeful disposition despite Scrooge\'s ill-tempered management."', 'source_id': 'chunk-d9aac3484185ac66045df92214d245d5'} +2024-10-29 13:33:37,822 - lightrag - INFO - _do_upsert:query: + MERGE (n:`FROST`) + SET n += $properties + RETURN n + :result:{'entity_type': '"GEO"', 'description': '"Frost is another atmospheric condition depicted, contributing to the cold and somber feeling of the environment during the story."', 'source_id': 'chunk-d9aac3484185ac66045df92214d245d5'} +2024-10-29 13:33:38,089 - lightrag - INFO - _do_upsert:query: + MERGE (n:`CAMDEN TOWN`) + SET n += $properties + RETURN n + :result:{'entity_type': '"GEO"', 'description': '"Camden Town is a location mentioned in relation to the logistics of transporting a large turkey.""Camden Town is a location where Bob Cratchit runs home to celebrate Christmas Eve, representing a more joyful and lively setting."', 'source_id': 'chunk-d9aac3484185ac66045df92214d245d5chunk-8f738cb25d60a7dab782162d9d0a25ed'} +2024-10-29 13:33:38,360 - lightrag - INFO - _do_upsert:query: + MERGE (n:`THE GHOST OF MARLEY`) + SET n += $properties + RETURN n + :result:{'entity_type': '"EVENT"', 'description': '"The Ghost of Marley is an event that is anticipated in the narrative, representing Scrooge\'s confrontation with his past and the supernatural."', 'source_id': 'chunk-d9aac3484185ac66045df92214d245d5'} +2024-10-29 13:33:38,634 - lightrag - INFO - _do_upsert:query: + MERGE (n:`KEYHOLE`) + SET n += $properties + RETURN n + :result:{'entity_type': '"CONCEPT"', 'description': '"The Keyhole is a metaphorical representation of Scrooge\'s perspective and the barriers to his understanding of joy and connection."', 'source_id': 'chunk-d9aac3484185ac66045df92214d245d5'} +2024-10-29 13:33:38,904 - lightrag - INFO - _do_upsert:query: + MERGE (n:`THE KNOCKER`) + SET n += $properties + RETURN n + :result:{'entity_type': '"CONCEPT"', 'description': '"The Knocker is a physical object that becomes a symbol of Scrooge\'s psyche, transforming into Marley\'s face, representing his guilt and past.""The Knocker is an ornate door knocker that Scrooge admires, reflecting his newfound appreciation for simple joys.""The Knocker on the door serves as a symbolic gateway to the supernatural events, being the first point of eerie interaction for Scrooge."', 'source_id': 'chunk-d9aac3484185ac66045df92214d245d5chunk-8f738cb25d60a7dab782162d9d0a25edchunk-9c43dac2fcd5b578242d907ea6f8fc7b'} +2024-10-29 13:33:39,173 - lightrag - INFO - _do_upsert:query: + MERGE (n:`MARLEY'S GHOST`) + SET n += $properties + RETURN n + :result:{'entity_type': '"EVENT"', 'description': '"Marley\'s Ghost is a spectral figure who appears to Scrooge to warn him of the impending visits from three spirits, representing remorse for his past deeds.""Marley\'s Ghost is a spectral visitation that deeply troubles Scrooge and causes him great perplexity, leading him to question the reality of his experiences.""Marley\'s Ghost represents the supernatural apparition of Marley, who has been dead for seven years and symbolizes regret and warning to Scrooge."', 'source_id': 'chunk-c7b10789a9cb0af6c553730b29bd9034chunk-9c43dac2fcd5b578242d907ea6f8fc7bchunk-cb661c37436355ccec2769b1d0350c5f'} +2024-10-29 13:33:39,448 - lightrag - INFO - _do_upsert:query: + MERGE (n:`THE HOUSE`) + SET n += $properties + RETURN n + :result:{'entity_type': '"GEO"', 'description': '"The House is the setting for the Christmas celebration and interactions among the characters, embodying warmth and family togetherness.""The House is the setting where Scrooge experiences the haunting, with a description of its features contributing to the eerie atmosphere."', 'source_id': 'chunk-da2472b4ef2a535b62908f14d0fb0ca9chunk-9c43dac2fcd5b578242d907ea6f8fc7b'} +2024-10-29 13:33:39,724 - lightrag - INFO - _do_upsert:query: + MERGE (n:`THE BELL`) + SET n += $properties + RETURN n + :result:{'entity_type': '"GEO"', 'description': '"The Bell is a church bell that signifies the time passing and marks the moments of Scrooge\'s encounters with the ghosts.""The Bell is described as a disused bell that starts to swing and ring during the haunting, signifying the onset of supernatural occurrences."', 'source_id': 'chunk-9c43dac2fcd5b578242d907ea6f8fc7bchunk-cb661c37436355ccec2769b1d0350c5f'} +2024-10-29 13:33:39,990 - lightrag - INFO - _do_upsert:query: + MERGE (n:`THE WINE-MERCHANT'S CELLAR`) + SET n += $properties + RETURN n + :result:{'entity_type': '"GEO"', 'description': '"The Wine-Merchant\'s Cellar is a location that holds significance in the story, where sounds of dragging chains are heard, adding to the ghostly ambiance."', 'source_id': 'chunk-9c43dac2fcd5b578242d907ea6f8fc7b'} +2024-10-29 13:33:40,264 - lightrag - INFO - _do_upsert:query: + MERGE (n:`THE GRATE`) + SET n += $properties + RETURN n + :result:{'entity_type': '"GEO"', 'description': '"The Grate is part of Scrooge\'s room where a small fire burns, contributing to the bleak and cold atmosphere of his setting."', 'source_id': 'chunk-9c43dac2fcd5b578242d907ea6f8fc7b'} +2024-10-29 13:33:40,539 - lightrag - INFO - _do_upsert:query: + MERGE (n:`THE CASK`) + SET n += $properties + RETURN n + :result:{'entity_type': '"GEO"', 'description': '"The Cask is part of the cellar, contributing to the sounds associated with Marley\'s Ghost and aiding in creating a sense of dread."', 'source_id': 'chunk-9c43dac2fcd5b578242d907ea6f8fc7b'} +2024-10-29 13:33:40,814 - lightrag - INFO - _do_upsert:query: + MERGE (n:`THE DRESSING-GOWN`) + SET n += $properties + RETURN n + :result:{'entity_type': '"GEO"', 'description': '"The Dressing-Gown is worn by Scrooge, illustrating his solitary, night-time routine and emphasizing his isolation."', 'source_id': 'chunk-9c43dac2fcd5b578242d907ea6f8fc7b'} +2024-10-29 13:33:41,082 - lightrag - INFO - _do_upsert:query: + MERGE (n:`THE CANDLE`) + SET n += $properties + RETURN n + :result:{'entity_type': '"GEO"', 'description': '"The Candle represents a source of light in Scrooge\'s dark life, emphasizing the contrast between warmth and isolation."', 'source_id': 'chunk-9c43dac2fcd5b578242d907ea6f8fc7b'} +2024-10-29 13:33:41,350 - lightrag - INFO - _do_upsert:query: + MERGE (n:`DARKNESS`) + SET n += $properties + RETURN n + :result:{'entity_type': '"CONCEPT"', 'description': '"Darkness symbolizes the oppressive loneliness and despair in Scrooge\'s life, as well as the supernatural elements of the story."', 'source_id': 'chunk-9c43dac2fcd5b578242d907ea6f8fc7b'} +2024-10-29 13:33:41,622 - lightrag - INFO - _do_upsert:query: + MERGE (n:`JACOB MARLEY`) + SET n += $properties + RETURN n + :result:{'entity_type': '"PERSON"', 'description': '"Jacob Marley is Scrooge\'s deceased business partner who plays a significant role in introducing the spirits to Scrooge.""Jacob Marley is Scrooge\'s deceased business partner, who appears as a ghost to warn Scrooge of his impending fate and the need for change.""Jacob Marley is a deceased character who symbolizes the consequences of a life led without compassion, influencing Scrooge\'s redemption.""Jacob Marley is a ghost who appears to Scrooge, having been his business partner in life, and is now bound by chains that signify his earthly ties and regrets.""Jacob Marley is the ghost of Scrooge\'s former business partner, who seeks to impart a lesson about the consequences of a life lived without compassion or connection to humanity.""Jacob Marley is the ghost who represents Scrooge\'s past and serves as a catalyst for his change."', 'source_id': 'chunk-90b95db5c53e4364a6bee36b7aa4d70fchunk-1aa50206d02ed89418f65f97c6441d1cchunk-02baee20cc9463dbe08170a8e1043e32chunk-91572b3cd42786ba4cb2f180ca25cbf4chunk-da2472b4ef2a535b62908f14d0fb0ca9chunk-359187e7571bda4b0b08b2e0b6581e52'} +2024-10-29 13:33:41,894 - lightrag - INFO - _do_upsert:query: + MERGE (n:`THE GHOST`) + SET n += $properties + RETURN n + :result:{'entity_type': '"EVENT"', 'description': '"The Ghost is a spectral manifestation of Jacob Marley, appearing to communicate a vital message to Scrooge about the spiritual consequences of his life choices.""The Ghost is a supernatural entity that shows Scrooge scenes from his past to provoke realization and remorse.""The Ghost refers specifically to the supernatural presence guiding Scrooge through his reflections and past experiences.""The Ghost represents the spirit of Jacob Marley, warning Scrooge about the aftereffects of neglecting human virtue and kindness during life.""The Ghost represents various spectral entities that visit Scrooge to facilitate his transformation by highlighting the consequences of his actions.""The Ghost serves as a guiding presence that helps Scrooge confront and reflect on his past during Christmas."', 'source_id': 'chunk-8590d9263cd2cd4fa583c432fc54e6c3chunk-54bdd22db1f84a965b5f4c06c9216d8dchunk-1aa50206d02ed89418f65f97c6441d1cchunk-02baee20cc9463dbe08170a8e1043e32chunk-da2472b4ef2a535b62908f14d0fb0ca9chunk-359187e7571bda4b0b08b2e0b6581e52'} +2024-10-29 13:33:42,164 - lightrag - INFO - _do_upsert:query: + MERGE (n:`CASH-BOXES`) + SET n += $properties + RETURN n + :result:{'entity_type': '"CONCEPT"', 'description': '"Cash-boxes are items represented in the ghost\'s chain, symbolizing Marley’s greed and the burdens of material wealth in life."', 'source_id': 'chunk-1aa50206d02ed89418f65f97c6441d1c'} +2024-10-29 13:33:42,431 - lightrag - INFO - _do_upsert:query: + MERGE (n:`KEYS`) + SET n += $properties + RETURN n + :result:{'entity_type': '"CONCEPT"', 'description': '"Keys represent control and access, also included in the ghost\'s chain, indicating the constraints of Marley’s earthly desires."', 'source_id': 'chunk-1aa50206d02ed89418f65f97c6441d1c'} +2024-10-29 13:33:42,701 - lightrag - INFO - _do_upsert:query: + MERGE (n:`PADLOCKS`) + SET n += $properties + RETURN n + :result:{'entity_type': '"CONCEPT"', 'description': '"Padlocks are part of the ghost\'s chain, signifying confinement and the lock on Marley’s spirit due to his selfish actions in life."', 'source_id': 'chunk-1aa50206d02ed89418f65f97c6441d1c'} +2024-10-29 13:33:42,969 - lightrag - INFO - _do_upsert:query: + MERGE (n:`LEDGERS`) + SET n += $properties + RETURN n + :result:{'entity_type': '"CONCEPT"', 'description': '"Ledgers symbolize records of transactions, reflecting Marley’s focus on business and financial dealings during his life."', 'source_id': 'chunk-1aa50206d02ed89418f65f97c6441d1c'} +2024-10-29 13:33:43,240 - lightrag - INFO - _do_upsert:query: + MERGE (n:`DEEDS`) + SET n += $properties + RETURN n + :result:{'entity_type': '"CONCEPT"', 'description': '"Deeds represent property ownership, indicating the material attachments that bound Marley in life and continue to do so in death."', 'source_id': 'chunk-1aa50206d02ed89418f65f97c6441d1c'} +2024-10-29 13:33:43,513 - lightrag - INFO - _do_upsert:query: + MERGE (n:`HEAVY PURSES`) + SET n += $properties + RETURN n + :result:{'entity_type': '"CONCEPT"', 'description': '"Heavy purses in the ghost\'s chain symbolize the weight of wealth and the burden of not sharing that wealth with others."', 'source_id': 'chunk-1aa50206d02ed89418f65f97c6441d1c'} +2024-10-29 13:33:43,782 - lightrag - INFO - _do_upsert:query: + MERGE (n:`THE HEAVY DOOR`) + SET n += $properties + RETURN n + :result:{'entity_type': '"LOCATION"', 'description': '"The heavy door is a physical boundary encountered by Scrooge, marking the transition between the ordinary world and the supernatural visitation."', 'source_id': 'chunk-1aa50206d02ed89418f65f97c6441d1c'} +2024-10-29 13:33:44,046 - lightrag - INFO - _do_upsert:query: + MERGE (n:`THE FIREPLACE`) + SET n += $properties + RETURN n + :result:{'entity_type': '"LOCATION"', 'description': '"The fireplace serves as a significant setting for the interaction between Scrooge and the ghost, representing warmth but also the stark contrast to the ghost\'s cold presence."', 'source_id': 'chunk-1aa50206d02ed89418f65f97c6441d1c'} +2024-10-29 13:33:44,314 - lightrag - INFO - _do_upsert:query: + MERGE (n:`SPIRIT`) + SET n += $properties + RETURN n + :result:{'entity_type': '"CONCEPT"', 'description': '"Spirit represents the essence of Marley that is attempting to interact with Scrooge, indicating themes of afterlife and unresolved issues.""The Spirit embodies the lessons of compassion and social responsibility, guiding Scrooge through his reflections and realizations.""The Spirit is the manifestation of Scrooge\'s past that guides him through his memories, representing his former self and the influence of time.""The Spirit represents a ghostly entity, guiding Scrooge through visions of potential future events and urging him to acknowledge societal issues.""The Spirit represents a supernatural entity guiding Scrooge through his reflections on life, death, and human emotions, prompting self-awareness.""The Spirit represents the embodiment of the Christmas present, personifying the themes of generosity and merriment."', 'source_id': 'chunk-bb21d58d36c6306fd8810ddd51c4a971chunk-83ac129dc9b56f84c46760d153d68e93chunk-e7637ff18c5ded77a68cce0a87883fadchunk-843b5b2f944c7413d9ca876e2e2f151fchunk-1aa50206d02ed89418f65f97c6441d1cchunk-02baee20cc9463dbe08170a8e1043e32'} +2024-10-29 13:33:44,590 - lightrag - INFO - _do_upsert:query: + MERGE (n:`THE BANDAGE`) + SET n += $properties + RETURN n + :result:{'entity_type': '"CONCEPT"', 'description': '"The bandage is an item used by the ghost, symbolizing decay and the remnants of Marley’s struggle with his own existence post-death."', 'source_id': 'chunk-1aa50206d02ed89418f65f97c6441d1c'} +2024-10-29 13:33:44,872 - lightrag - INFO - _do_upsert:query: + MERGE (n:`THE COSMIC SIGNIFICANCE`) + SET n += $properties + RETURN n + :result:{'entity_type': '"CONCEPT"', 'description': '"The cosmic significance refers to the broader themes of morality and the impact of one’s actions on others, reflected in Marley’s message to Scrooge."', 'source_id': 'chunk-1aa50206d02ed89418f65f97c6441d1c'} +2024-10-29 13:33:45,144 - lightrag - INFO - _do_upsert:query: + MERGE (n:`MANKIND`) + SET n += $properties + RETURN n + :result:{'entity_type': '"CONCEPT"', 'description': '"Mankind signifies the broader human community, which Marley claims should be the focus of compassionate effort rather than mere business pursuits."', 'source_id': 'chunk-359187e7571bda4b0b08b2e0b6581e52'} +2024-10-29 13:33:45,422 - lightrag - INFO - _do_upsert:query: + MERGE (n:`BUSINESS`) + SET n += $properties + RETURN n + :result:{'entity_type': '"CONCEPT"', 'description': '"Business refers to the practices of trade and commerce that Marley criticizes for overshadowing more significant moral duties like benevolence and charity."', 'source_id': 'chunk-359187e7571bda4b0b08b2e0b6581e52'} +2024-10-29 13:33:45,701 - lightrag - INFO - _do_upsert:query: + MERGE (n:`THE CHAIN`) + SET n += $properties + RETURN n + :result:{'entity_type': '"CONCEPT"', 'description': '"The Chain refers to the symbolic burden that Marley carries, representing the consequences of his actions and the remorse that traps him in his spectral form.""The Chain symbolizes the burdens of the past that haunt the spirits, showcasing the consequences of one\'s actions in life."', 'source_id': 'chunk-359187e7571bda4b0b08b2e0b6581e52chunk-cb661c37436355ccec2769b1d0350c5f'} +2024-10-29 13:33:45,968 - lightrag - INFO - _do_upsert:query: + MERGE (n:`CROWD OF FELLOW-BEINGS`) + SET n += $properties + RETURN n + :result:{'entity_type': '"CONCEPT"', 'description': '"The Crowd of Fellow-Beings signifies the people Marley neglected throughout his life, highlighting the need for social responsibility and community engagement."', 'source_id': 'chunk-359187e7571bda4b0b08b2e0b6581e52'} +2024-10-29 13:33:46,239 - lightrag - INFO - _do_upsert:query: + MERGE (n:`CHRISTMAS EVES`) + SET n += $properties + RETURN n + :result:{'entity_type': '"EVENT"', 'description': '"Christmas Eves refers to the recurring time periods that Marley reflects upon, indicating the weight of his past decisions leading to regret."', 'source_id': 'chunk-359187e7571bda4b0b08b2e0b6581e52'} +2024-10-29 13:33:46,506 - lightrag - INFO - _do_upsert:query: + MERGE (n:`THE BLESSED STAR`) + SET n += $properties + RETURN n + :result:{'entity_type': '"CONCEPT"', 'description': '"The Blessed Star symbolizes hope and guidance, representing the moral path that Marley believes Scrooge should have followed and acknowledged."', 'source_id': 'chunk-359187e7571bda4b0b08b2e0b6581e52'} +2024-10-29 13:33:46,786 - lightrag - INFO - _do_upsert:query: + MERGE (n:`IRON CABLE`) + SET n += $properties + RETURN n + :result:{'entity_type': '"CONCEPT"', 'description': '"Iron Cable is a metaphorical representation of the heavy burdens of regret and unfulfilled opportunities carried by Marley in the afterlife."', 'source_id': 'chunk-359187e7571bda4b0b08b2e0b6581e52'} +2024-10-29 13:33:47,054 - lightrag - INFO - _do_upsert:query: + MERGE (n:`THE COMMON WELFARE`) + SET n += $properties + RETURN n + :result:{'entity_type': '"CONCEPT"', 'description': '"The Common Welfare emphasizes the idea that collective well-being should be a primary concern for individuals, contrasting with selfish pursuits."', 'source_id': 'chunk-359187e7571bda4b0b08b2e0b6581e52'} +2024-10-29 13:33:47,324 - lightrag - INFO - _do_upsert:query: + MERGE (n:`OTHER REGIONS`) + SET n += $properties + RETURN n + :result:{'entity_type': '"CONCEPT"', 'description': '"Other Regions alludes to the spiritual realm and existence beyond earthly life that Marley refers to, highlighting the interaction between the physical and spiritual worlds."', 'source_id': 'chunk-359187e7571bda4b0b08b2e0b6581e52'} +2024-10-29 13:33:47,591 - lightrag - INFO - _do_upsert:query: + MERGE (n:`SEVEN YEARS`) + SET n += $properties + RETURN n + :result:{'entity_type': '"EVENT"', 'description': '"Seven Years denotes the duration since Marley passed away, a significant timeframe during which he reflects on his unending labor and remorse."', 'source_id': 'chunk-359187e7571bda4b0b08b2e0b6581e52'} +2024-10-29 13:33:47,863 - lightrag - INFO - _do_upsert:query: + MERGE (n:`COUNTING-HOUSE`) + SET n += $properties + RETURN n + :result:{'entity_type': '"LOCATION"', 'description': '"The Counting-House is a physical space representing the business environment where Scrooge and Marley engaged in trade but also symbolizes their limited worldview."', 'source_id': 'chunk-359187e7571bda4b0b08b2e0b6581e52'} +2024-10-29 13:33:48,139 - lightrag - INFO - _do_upsert:query: + MERGE (n:`FELLOW-MEN`) + SET n += $properties + RETURN n + :result:{'entity_type': '"CONCEPT"', 'description': '"Fellow-Men refers to individuals with whom Marley and Scrooge share a human connection, underscoring the importance of empathy and human relationships."', 'source_id': 'chunk-359187e7571bda4b0b08b2e0b6581e52'} +2024-10-29 13:33:48,416 - lightrag - INFO - _do_upsert:query: + MERGE (n:`PONDEROUS CHAIN`) + SET n += $properties + RETURN n + :result:{'entity_type': '"CONCEPT"', 'description': '"Ponderous Chain symbolizes the heavy emotional and moral burden that Marley carries as a consequence of his choices in life, particularly relating to his business practices."', 'source_id': 'chunk-359187e7571bda4b0b08b2e0b6581e52'} +2024-10-29 13:33:48,681 - lightrag - INFO - _do_upsert:query: + MERGE (n:`THE THREE SPIRITS`) + SET n += $properties + RETURN n + :result:{'entity_type': '"EVENT"', 'description': '"The Three Spirits refer to the supernatural beings that are prophesied to visit Scrooge, each representing different aspects of time and morality."', 'source_id': 'chunk-cb661c37436355ccec2769b1d0350c5f'} +2024-10-29 13:33:48,961 - lightrag - INFO - _do_upsert:query: + MERGE (n:`THE INVISIBLE WORLD`) + SET n += $properties + RETURN n + :result:{'entity_type': '"CONCEPT"', 'description': '"The Invisible World refers to the realm of spirits and supernatural influences that Scrooge glimpses during his encounter with Marley\'s Ghost."', 'source_id': 'chunk-cb661c37436355ccec2769b1d0350c5f'} +2024-10-29 13:33:49,226 - lightrag - INFO - _do_upsert:query: + MERGE (n:`THE CLOCK`) + SET n += $properties + RETURN n + :result:{'entity_type': '"TECHNOLOGY"', 'description': '"The Clock is a device that malfunctions, contributing to Scrooge\'s confusion about time and reality in the narrative.""The Clock is mentioned as malfunctioning, which symbolizes the confusion and distortion of time that Scrooge experiences during his nighttime visitations."', 'source_id': 'chunk-c7b10789a9cb0af6c553730b29bd9034chunk-cb661c37436355ccec2769b1d0350c5f'} +2024-10-29 13:33:49,502 - lightrag - INFO - _do_upsert:query: + MERGE (n:`THE WINDOW`) + SET n += $properties + RETURN n + :result:{'entity_type': '"CONCEPT"', 'description': '"The Window represents a threshold between the visible and invisible worlds, allowing Scrooge a view into the realm of spirits and their lamentations."', 'source_id': 'chunk-cb661c37436355ccec2769b1d0350c5f'} +2024-10-29 13:33:49,775 - lightrag - INFO - _do_upsert:query: + MERGE (n:`THE AIR`) + SET n += $properties + RETURN n + :result:{'entity_type': '"CONCEPT"', 'description': '"The Air is described as filled with phantoms, representing the haunting nature of Scrooge\'s past choices and regrets."', 'source_id': 'chunk-cb661c37436355ccec2769b1d0350c5f'} +2024-10-29 13:33:50,048 - lightrag - INFO - _do_upsert:query: + MERGE (n:`THE PHANTOMS`) + SET n += $properties + RETURN n + :result:{'entity_type': '"PERSON"', 'description': '"The Phantoms are spirits that wander restlessly, symbolizing lost opportunities and unresolved issues from their past lives."', 'source_id': 'chunk-cb661c37436355ccec2769b1d0350c5f'} +2024-10-29 13:33:50,322 - lightrag - INFO - _do_upsert:query: + MERGE (n:`THE DARK NIGHT`) + SET n += $properties + RETURN n + :result:{'entity_type': '"CONCEPT"', 'description': '"The Dark Night signifies the ominous and mysterious setting during which Scrooge faces his fears and experiences the supernatural."', 'source_id': 'chunk-cb661c37436355ccec2769b1d0350c5f'} +2024-10-29 13:33:50,601 - lightrag - INFO - _do_upsert:query: + MERGE (n:`WAILINGS`) + SET n += $properties + RETURN n + :result:{'entity_type': '"EVENT"', 'description': '"Wailings represent the sorrowful expressions of the phantoms, illustrating the pain and regret of spirits bound by their earthly actions."', 'source_id': 'chunk-cb661c37436355ccec2769b1d0350c5f'} +2024-10-29 13:33:50,871 - lightrag - INFO - _do_upsert:query: + MERGE (n:`THE DOOR`) + SET n += $properties + RETURN n + :result:{'entity_type': '"CONCEPT"', 'description': '"The Door is described as being double locked, representing Scrooge’s isolation and the barriers he has built around himself in life."', 'source_id': 'chunk-cb661c37436355ccec2769b1d0350c5f'} +2024-10-29 13:33:51,143 - lightrag - INFO - _do_upsert:query: + MERGE (n:`THE SPIRITS`) + SET n += $properties + RETURN n + :result:{'entity_type': '"CONCEPT"', 'description': '"The Spirits collectively represent the supernatural forces that seek to guide and teach Scrooge about the impact of his life choices.""The Spirits represent the past, present, and future in Scrooge\'s life, guiding him toward redemption and self-reflection."', 'source_id': 'chunk-90b95db5c53e4364a6bee36b7aa4d70fchunk-cb661c37436355ccec2769b1d0350c5f'} +2024-10-29 13:33:51,416 - lightrag - INFO - _do_upsert:query: + MERGE (n:`THE GHOSTLY VISITATIONS`) + SET n += $properties + RETURN n + :result:{'entity_type': '"EVENT"', 'description': '"The Ghostly Visitations are the anticipated encounters that Scrooge must endure as part of his journey toward redemption."', 'source_id': 'chunk-cb661c37436355ccec2769b1d0350c5f'} +2024-10-29 13:33:51,702 - lightrag - INFO - _do_upsert:query: + MERGE (n:`EBENEZER`) + SET n += $properties + RETURN n + :result:{'entity_type': '"PERSON"', 'description': '"Ebenezer is a character who reflects on his past with fondness, remembering his former self and his connection to Dick Wilkins.""Ebenezer refers to Scrooge\'s full name, emphasizing his identity and character as a miser who learns valuable life lessons."', 'source_id': 'chunk-8bc1edd983869352d14cf0886a9175a7chunk-cb661c37436355ccec2769b1d0350c5f'} +2024-10-29 13:33:51,981 - lightrag - INFO - _do_upsert:query: + MERGE (n:`THE PENANCE`) + SET n += $properties + RETURN n + :result:{'entity_type': '"CONCEPT"', 'description': '"The Penance refers to the moral and emotional suffering that Marley\'s Ghost must endure due to his past actions, prompting Scrooge\'s journey of redemption."', 'source_id': 'chunk-cb661c37436355ccec2769b1d0350c5f'} +2024-10-29 13:33:52,268 - lightrag - INFO - _do_upsert:query: + MERGE (n:`THE TRANSPARENT WINDOW`) + SET n += $properties + RETURN n + :result:{'entity_type': '"CONCEPT"', 'description': '"The Transparent Window symbolizes the blurred line between the known and the supernatural, reflecting Scrooge’s struggle to understand his experiences."', 'source_id': 'chunk-cb661c37436355ccec2769b1d0350c5f'} +2024-10-29 13:33:52,546 - lightrag - INFO - _do_upsert:query: + MERGE (n:`THE DARKNESS`) + SET n += $properties + RETURN n + :result:{'entity_type': '"CONCEPT"', 'description': '"The Darkness refers to the absence of light, signifying uncertainty and fear in Scrooge\'s transformation journey."', 'source_id': 'chunk-cb661c37436355ccec2769b1d0350c5f'} +2024-10-29 13:33:52,822 - lightrag - INFO - _do_upsert:query: + MERGE (n:`THE VISITOR`) + SET n += $properties + RETURN n + :result:{'entity_type': '"PERSON"', 'description': '"The Visitor is a mysterious figure that appears to Scrooge; it possesses qualities of both youth and age, signifying the blend of time and supernatural elements."', 'source_id': 'chunk-c7b10789a9cb0af6c553730b29bd9034'} +2024-10-29 13:33:53,098 - lightrag - INFO - _do_upsert:query: + MERGE (n:`THE SPRING`) + SET n += $properties + RETURN n + :result:{'entity_type': '"TECHNOLOGY"', 'description': '"The Spring is a mechanism within The Clock that Scrooge touches to correct its malfunction, highlighting his engagement with technology amid his confusion about time."', 'source_id': 'chunk-c7b10789a9cb0af6c553730b29bd9034'} +2024-10-29 13:33:53,367 - lightrag - INFO - _do_upsert:query: + MERGE (n:`BED CURTAINS`) + SET n += $properties + RETURN n + :result:{'entity_type': '"TECHNOLOGY"', 'description': '"The Bed Curtains are part of Scrooge\'s bedroom that are drawn aside, heralding the appearance of The Visitor and creating a pivotal moment in the narrative."', 'source_id': 'chunk-c7b10789a9cb0af6c553730b29bd9034'} +2024-10-29 13:33:53,638 - lightrag - INFO - _do_upsert:query: + MERGE (n:`LIGHT`) + SET n += $properties + RETURN n + :result:{'entity_type': '"CONCEPT"', 'description': '"Light emanates from The Visitor, symbolizing clarity, revelation, and the supernatural, contrasting with the darkness around Scrooge\'s situation."', 'source_id': 'chunk-c7b10789a9cb0af6c553730b29bd9034'} +2024-10-29 13:33:53,915 - lightrag - INFO - _do_upsert:query: + MERGE (n:`HOLLY BRANCH`) + SET n += $properties + RETURN n + :result:{'entity_type': '"TECHNOLOGY"', 'description': '"The Holly Branch is held by The Visitor, representing the duality of winter and spring, life and death, embodying the hope of renewal."', 'source_id': 'chunk-c7b10789a9cb0af6c553730b29bd9034'} +2024-10-29 13:33:54,188 - lightrag - INFO - _do_upsert:query: + MERGE (n:`DREAM`) + SET n += $properties + RETURN n + :result:{'entity_type': '"CONCEPT"', 'description': '"Dream refers to the possibility that Scrooge\'s experiences are a figment of his imagination, reflecting his internal struggle with reality and perception."', 'source_id': 'chunk-c7b10789a9cb0af6c553730b29bd9034'} +2024-10-29 13:33:54,456 - lightrag - INFO - _do_upsert:query: + MERGE (n:`MARKET-TOWN`) + SET n += $properties + RETURN n + :result:{'entity_type': '"GEO"', 'description': '"The Market-Town is a nostalgic location from Scrooge\'s youth, evoking memories and emotions tied to his childhood."', 'source_id': 'chunk-bb21d58d36c6306fd8810ddd51c4a971'} +2024-10-29 13:33:54,726 - lightrag - INFO - _do_upsert:query: + MERGE (n:`WINTER DAY`) + SET n += $properties + RETURN n + :result:{'entity_type': '"EVENT"', 'description': '"The Winter Day signifies the seasonal setting during Scrooge\'s journey through his memories, highlighting a clear, cold atmosphere filled with nostalgia."', 'source_id': 'chunk-bb21d58d36c6306fd8810ddd51c4a971'} +2024-10-29 13:33:55,000 - lightrag - INFO - _do_upsert:query: + MERGE (n:`CHILDREN`) + SET n += $properties + RETURN n + :result:{'entity_type': '"PERSON"', 'description': '"The Children represent innocence and purity, highlighted as victims of societal neglect and calling for compassion from Scrooge.""The Children represent the joyful, carefree aspects of Scrooge\'s past, embodying happiness and the innocence of youth that he has long forgotten."', 'source_id': 'chunk-bb21d58d36c6306fd8810ddd51c4a971chunk-e7637ff18c5ded77a68cce0a87883fad'} +2024-10-29 13:33:55,272 - lightrag - INFO - _do_upsert:query: + MERGE (n:`SCHOOL`) + SET n += $properties + RETURN n + :result:{'entity_type': '"ORGANIZATION"', 'description': '"The School is a location associated with Scrooge\'s neglected childhood, symbolizing loneliness and lost opportunities for connection and joy."', 'source_id': 'chunk-bb21d58d36c6306fd8810ddd51c4a971'} +2024-10-29 13:33:55,547 - lightrag - INFO - _do_upsert:query: + MERGE (n:`ALI BABA`) + SET n += $properties + RETURN n + :result:{'entity_type': '"PERSON"', 'description': '"Ali Baba is mentioned as a character from a story that impacts Scrooge during his reflection on Christmas and childhood."', 'source_id': 'chunk-8590d9263cd2cd4fa583c432fc54e6c3'} +2024-10-29 13:33:55,841 - lightrag - INFO - _do_upsert:query: + MERGE (n:`VALENTINE`) + SET n += $properties + RETURN n + :result:{'entity_type': '"PERSON"', 'description': '"Valentine is referenced as a brother of a character, and his presence contributes to the holiday memories Scrooge recalls."', 'source_id': 'chunk-8590d9263cd2cd4fa583c432fc54e6c3'} +2024-10-29 13:33:56,118 - lightrag - INFO - _do_upsert:query: + MERGE (n:`ORSON`) + SET n += $properties + RETURN n + :result:{'entity_type': '"PERSON"', 'description': '"Orson is mentioned as another brother mentioned by Scrooge, recalling his childhood tales and adventures."', 'source_id': 'chunk-8590d9263cd2cd4fa583c432fc54e6c3'} +2024-10-29 13:33:56,384 - lightrag - INFO - _do_upsert:query: + MERGE (n:`ROBIN CRUSOE`) + SET n += $properties + RETURN n + :result:{'entity_type': '"PERSON"', 'description': '"Robin Crusoe is a character referenced by Scrooge as part of his memories, signifying tales of adventure and nostalgia."', 'source_id': 'chunk-8590d9263cd2cd4fa583c432fc54e6c3'} +2024-10-29 13:33:56,998 - lightrag - INFO - _do_upsert:query: + MERGE (n:`FRIDAY`) + SET n += $properties + RETURN n + :result:{'entity_type': '"PERSON"', 'description': '"Friday is another character from a story mentioned by Scrooge during his nostalgic recollections of childhood."', 'source_id': 'chunk-8590d9263cd2cd4fa583c432fc54e6c3'} +2024-10-29 13:33:57,977 - lightrag - INFO - _do_upsert:query: + MERGE (n:`THE MANSION`) + SET n += $properties + RETURN n + :result:{'entity_type': '"GEO"', 'description': '"The Mansion is described as a large house of dull red brick, associated with Scrooge\'s childhood memories and reflecting the state of neglect."', 'source_id': 'chunk-8590d9263cd2cd4fa583c432fc54e6c3'} +2024-10-29 13:33:58,568 - lightrag - INFO - _do_upsert:query: + MERGE (n:`THE SPIRIT`) + SET n += $properties + RETURN n + :result:{'entity_type': '"ORGANIZATION"', 'description': '"The Spirit is a ghostly figure guiding Scrooge on a journey to witness the moments of cheer and resilience among people during Christmas, influencing his perspective.""The Spirit is the entity that guides Scrooge through memories, prompting reflections on his past during the Christmas season.""The Spirit refers to an embodiment of the Christmas message that represents moral guidance and introspection in Scrooge\'s life.""The Spirit refers to the Ghost of Christmas Present, a supernatural figure that guides Scrooge through lessons about generosity and community.""The Spirit refers to the supernatural essence of the Ghost of Christmas Past, embodying the idea of reflection and memory.""The Spirit refers to the supernatural influences that visit Scrooge, particularly the second of the Three Spirits.""The Spirit represents the essence of Christmas cheer and generosity, influencing the atmosphere and morale during the feast.""The Spirit represents the supernatural presence urging Scrooge to reflect deeply on the consequences of his life choices, particularly in relation to Death."', 'source_id': 'chunk-b2f98bc7abb0c67d4c86055c7fd72218chunk-e1f29eeadc1d8ab46dc8a0bbd3c56b64chunk-b0f459f5af1c3a5e0b92cbe4ee48b77bchunk-8590d9263cd2cd4fa583c432fc54e6c3chunk-91572b3cd42786ba4cb2f180ca25cbf4chunk-da2472b4ef2a535b62908f14d0fb0ca9chunk-91614df5cb74cbe5e109a338a82041e9chunk-19d72c57ae3408758b18d2568e86dc6b'} +2024-10-29 13:33:59,347 - lightrag - INFO - _do_upsert:query: + MERGE (n:`THE SOLITARY CHILD`) + SET n += $properties + RETURN n + :result:{'entity_type': '"PERSON"', 'description': '"The Solitary Child is a representation of Scrooge\'s younger self, neglected and alone in the school during Christmas, evoking emotions of sympathy and regret."', 'source_id': 'chunk-8590d9263cd2cd4fa583c432fc54e6c3'} +2024-10-29 13:33:59,895 - lightrag - INFO - _do_upsert:query: + MERGE (n:`THE LITTLE GIRL`) + SET n += $properties + RETURN n + :result:{'entity_type': '"PERSON"', 'description': '"The Little Girl is mentioned as appearing at the door, representing innocence and the enduring spirit of Christmas that contrasts with Scrooge\'s past."', 'source_id': 'chunk-8590d9263cd2cd4fa583c432fc54e6c3'} +2024-10-29 13:34:00,164 - lightrag - INFO - _do_upsert:query: + MERGE (n:`THE STABLES`) + SET n += $properties + RETURN n + :result:{'entity_type': '"GEO"', 'description': '"The Stables are part of the Mansion\'s property, depicting the state of the neglected estate and surroundings."', 'source_id': 'chunk-8590d9263cd2cd4fa583c432fc54e6c3'} +2024-10-29 13:34:00,440 - lightrag - INFO - _do_upsert:query: + MERGE (n:`THE CHILLY HALL`) + SET n += $properties + RETURN n + :result:{'entity_type': '"GEO"', 'description': '"The Chilly Hall is the entrance area of the Mansion where Scrooge begins to reflect on his past."', 'source_id': 'chunk-8590d9263cd2cd4fa583c432fc54e6c3'} +2024-10-29 13:34:00,712 - lightrag - INFO - _do_upsert:query: + MERGE (n:`THE EMPTY STOREHOUSE`) + SET n += $properties + RETURN n + :result:{'entity_type': '"GEO"', 'description': '"The Empty Storehouse is mentioned as part of the Mansion, symbolizing decay and forgotten memories."', 'source_id': 'chunk-8590d9263cd2cd4fa583c432fc54e6c3'} +2024-10-29 13:34:00,988 - lightrag - INFO - _do_upsert:query: + MERGE (n:`GHOST`) + SET n += $properties + RETURN n + :result:{'entity_type': '"PERSON"', 'description': '"The Ghost is a supernatural entity that provides guidance and reflection on Scrooge\'s past, representing moral and societal themes.""The Ghost refers to the spirit guiding Scrooge, embodying the themes of memory and reflection on the joys of Christmas.""The Ghost represents a spiritual guide that takes Scrooge on a journey to learn important lessons about compassion and humanity.""The Ghost serves as a supernatural guide for Scrooge, prompting him to reflect on his life and choices."', 'source_id': 'chunk-503f0bfa5453467c7c61d160a3540ecachunk-c6c248858d1b13ab7ee9ca13c1aeed6bchunk-e7637ff18c5ded77a68cce0a87883fadchunk-43c9bee23adfa77aa9dedd22401bba7d'} +2024-10-29 13:34:01,257 - lightrag - INFO - _do_upsert:query: + MERGE (n:`LITTLE FAN`) + SET n += $properties + RETURN n + :result:{'entity_type': '"PERSON"', 'description': '"Little Fan is Scrooge\'s sister, who brings joy and an invitation to come home, representing innocence and familial love."', 'source_id': 'chunk-c6c248858d1b13ab7ee9ca13c1aeed6b'} +2024-10-29 13:34:01,520 - lightrag - INFO - _do_upsert:query: + MERGE (n:`DICK WILKINS`) + SET n += $properties + RETURN n + :result:{'entity_type': '"PERSON"', 'description': '"Dick Wilkins is Ebenezer\'s fellow apprentice, with whom he shared a strong attachment during their youth.""Dick Wilkins is Scrooge\'s fellow apprentice and close companion during his younger years, indicating camaraderie during their apprenticeship."', 'source_id': 'chunk-c6c248858d1b13ab7ee9ca13c1aeed6bchunk-8bc1edd983869352d14cf0886a9175a7'} +2024-10-29 13:34:01,796 - lightrag - INFO - _do_upsert:query: + MERGE (n:`THE SCHOOLMASTER`) + SET n += $properties + RETURN n + :result:{'entity_type': '"PERSON"', 'description': '"The Schoolmaster is an authoritative figure who oversees Scrooge and the other boys, representing the harshness of education and discipline."', 'source_id': 'chunk-c6c248858d1b13ab7ee9ca13c1aeed6b'} +2024-10-29 13:34:02,064 - lightrag - INFO - _do_upsert:query: + MERGE (n:`MASTER SCROOGE`) + SET n += $properties + RETURN n + :result:{'entity_type': '"PERSON"', 'description': '"Master Scrooge is the young version of Scrooge who is influenced by his environment and experiences during his schooling."', 'source_id': 'chunk-c6c248858d1b13ab7ee9ca13c1aeed6b'} +2024-10-29 13:34:02,335 - lightrag - INFO - _do_upsert:query: + MERGE (n:`FATHER`) + SET n += $properties + RETURN n + :result:{'entity_type': '"PERSON"', 'description': '"Father refers to Scrooge\'s father, who is noted for being kinder than before, allowing Scrooge to return home."', 'source_id': 'chunk-c6c248858d1b13ab7ee9ca13c1aeed6b'} +2024-10-29 13:34:02,609 - lightrag - INFO - _do_upsert:query: + MERGE (n:`THE CHAISE`) + SET n += $properties + RETURN n + :result:{'entity_type': '"ORGANIZATION"', 'description': '"The Chaise is the mode of transportation that takes Scrooge and Little Fan away from the school, symbolizing transition and change."', 'source_id': 'chunk-c6c248858d1b13ab7ee9ca13c1aeed6b'} +2024-10-29 13:34:02,880 - lightrag - INFO - _do_upsert:query: + MERGE (n:`THE WAREHOUSE`) + SET n += $properties + RETURN n + :result:{'entity_type': '"LOCATION"', 'description': '"The Warehouse is a specific location where Scrooge had previously apprenticed and holds significant memories for him.""The Warehouse is the setting for Fezziwig\'s celebrations, transformed into a ballroom for the festivities."', 'source_id': 'chunk-c6c248858d1b13ab7ee9ca13c1aeed6bchunk-8bc1edd983869352d14cf0886a9175a7'} +2024-10-29 13:34:03,152 - lightrag - INFO - _do_upsert:query: + MERGE (n:`THE DANCE`) + SET n += $properties + RETURN n + :result:{'entity_type': '"EVENT"', 'description': '"The Dance organized by Fezziwig is a festive gathering involving various participants, showcasing joy and celebration during Christmas Eve."', 'source_id': 'chunk-8bc1edd983869352d14cf0886a9175a7'} +2024-10-29 13:34:03,414 - lightrag - INFO - _do_upsert:query: + MERGE (n:`THE BOY`) + SET n += $properties + RETURN n + :result:{'entity_type': '"PERSON"', 'description': '"The Boy is a character mentioned briefly, who tries to hide behind another girl, indicating shyness among the festive crowd.""The Boy is a young messenger who interacts with Scrooge during his purchase of the turkey."', 'source_id': 'chunk-8f738cb25d60a7dab782162d9d0a25edchunk-8bc1edd983869352d14cf0886a9175a7'} +2024-10-29 13:34:03,683 - lightrag - INFO - _do_upsert:query: + MERGE (n:`THE GIRL`) + SET n += $properties + RETURN n + :result:{'entity_type': '"PERSON"', 'description': '"The Girl is a young servant who assists Scrooge at Fred\'s house.""The Girl is referenced in relation to The Boy, highlighting the dynamics of the young attendees at the Fezziwig\'s celebrations."', 'source_id': 'chunk-8f738cb25d60a7dab782162d9d0a25edchunk-8bc1edd983869352d14cf0886a9175a7'} +2024-10-29 13:34:03,952 - lightrag - INFO - _do_upsert:query: + MERGE (n:`THE FIDDLER`) + SET n += $properties + RETURN n + :result:{'entity_type': '"PERSON"', 'description': '"The Fiddler is a musician who plays during the festivities, contributing to the atmosphere of joy and celebration."', 'source_id': 'chunk-8bc1edd983869352d14cf0886a9175a7'} +2024-10-29 13:34:04,222 - lightrag - INFO - _do_upsert:query: + MERGE (n:`MRS. FEZZIWIG'S THREE MISSES`) + SET n += $properties + RETURN n + :result:{'entity_type': '"PERSON"', 'description': '"Mrs. Fezziwig\'s Three Misses are her daughters, described as beaming and lovable, participating in the Christmas festivities."', 'source_id': 'chunk-8bc1edd983869352d14cf0886a9175a7'} +2024-10-29 13:34:04,495 - lightrag - INFO - _do_upsert:query: + MERGE (n:`THE YOUNG FOLLOWERS`) + SET n += $properties + RETURN n + :result:{'entity_type': '"PERSON"', 'description': '"The Young Followers are young men and women employed by Fezziwig, who interact during the dances, showing youthful exuberance."', 'source_id': 'chunk-8bc1edd983869352d14cf0886a9175a7'} +2024-10-29 13:34:04,768 - lightrag - INFO - _do_upsert:query: + MERGE (n:`THE HOUSEMAID`) + SET n += $properties + RETURN n + :result:{'entity_type': '"PERSON"', 'description': '"The Housemaid is mentioned as part of the domestic staff involved in the celebration, contributing to the jovial atmosphere."', 'source_id': 'chunk-8bc1edd983869352d14cf0886a9175a7'} +2024-10-29 13:34:05,035 - lightrag - INFO - _do_upsert:query: + MERGE (n:`THE COOK`) + SET n += $properties + RETURN n + :result:{'entity_type': '"PERSON"', 'description': '"The Cook is part of the household and participates in the festive gathering, alongside other staff."', 'source_id': 'chunk-8bc1edd983869352d14cf0886a9175a7'} +2024-10-29 13:34:05,303 - lightrag - INFO - _do_upsert:query: + MERGE (n:`THE BAKER`) + SET n += $properties + RETURN n + :result:{'entity_type': '"PERSON"', 'description': '"The Baker is a cousin to the housemaid, indicating the interconnectedness of the household staff during the festivities."', 'source_id': 'chunk-8bc1edd983869352d14cf0886a9175a7'} +2024-10-29 13:34:05,573 - lightrag - INFO - _do_upsert:query: + MERGE (n:`COLD ROAST`) + SET n += $properties + RETURN n + :result:{'entity_type': '"FOOD"', 'description': '"Cold Roast is a dish served during the celebration, adding to the festive feast prepared by Fezziwig."', 'source_id': 'chunk-8bc1edd983869352d14cf0886a9175a7'} +2024-10-29 13:34:05,840 - lightrag - INFO - _do_upsert:query: + MERGE (n:`COLD BOILED`) + SET n += $properties + RETURN n + :result:{'entity_type': '"FOOD"', 'description': '"Cold Boiled is another dish mentioned, part of the spread during the festivities at Fezziwig\'s celebration."', 'source_id': 'chunk-8bc1edd983869352d14cf0886a9175a7'} +2024-10-29 13:34:06,112 - lightrag - INFO - _do_upsert:query: + MERGE (n:`MINCE-PIES`) + SET n += $properties + RETURN n + :result:{'entity_type': '"FOOD"', 'description': '"Mince-Pies are a type of dessert featured at the celebration, contributing to the festive feast.""Mince-pies are a traditional Christmas dessert, symbolizing the sweet and festive aspects of the holiday season."', 'source_id': 'chunk-843b5b2f944c7413d9ca876e2e2f151fchunk-8bc1edd983869352d14cf0886a9175a7'} +2024-10-29 13:34:06,382 - lightrag - INFO - _do_upsert:query: + MERGE (n:`NEGUS`) + SET n += $properties + RETURN n + :result:{'entity_type': '"FOOD"', 'description': '"Negus is a drink served during the festivities, adding to the array of refreshments available."', 'source_id': 'chunk-8bc1edd983869352d14cf0886a9175a7'} +2024-10-29 13:34:06,658 - lightrag - INFO - _do_upsert:query: + MERGE (n:`THE GHOST OF CHRISTMAS PAST`) + SET n += $properties + RETURN n + :result:{'entity_type': '"EVENT"', 'description': '"The Ghost of Christmas Past is a supernatural entity that shows Scrooge moments from his past, eliciting reflection and emotion."', 'source_id': 'chunk-b2f98bc7abb0c67d4c86055c7fd72218'} +2024-10-29 13:34:06,931 - lightrag - INFO - _do_upsert:query: + MERGE (n:`THE DOMESTIC BALL`) + SET n += $properties + RETURN n + :result:{'entity_type': '"EVENT"', 'description': '"The Domestic Ball is a joyful celebration organized by Fezziwig, where guests enjoy dancing and merry exchanges."', 'source_id': 'chunk-b2f98bc7abb0c67d4c86055c7fd72218'} +2024-10-29 13:34:07,199 - lightrag - INFO - _do_upsert:query: + MERGE (n:`DICK`) + SET n += $properties + RETURN n + :result:{'entity_type': '"PERSON"', 'description': '"Dick is a character from Scrooge\'s past, reminisced about during the scene, representing the camaraderie shared during the ball."', 'source_id': 'chunk-b2f98bc7abb0c67d4c86055c7fd72218'} +2024-10-29 13:34:07,472 - lightrag - INFO - _do_upsert:query: + MERGE (n:`THE TWO APPRENTICES`) + SET n += $properties + RETURN n + :result:{'entity_type': '"PERSON"', 'description': '"The Two Apprentices are characters from Fezziwig\'s establishment who express gratitude and admiration for Fezziwig\'s positive influence during the Domestic Ball."', 'source_id': 'chunk-b2f98bc7abb0c67d4c86055c7fd72218'} +2024-10-29 13:34:07,740 - lightrag - INFO - _do_upsert:query: + MERGE (n:`MERRY CHRISTMAS`) + SET n += $properties + RETURN n + :result:{'entity_type': '"EVENT"', 'description': '"Merry Christmas is a common greeting shared during the Domestic Ball by Fezziwig and Mrs. Fezziwig, representing the spirit of the holiday."', 'source_id': 'chunk-b2f98bc7abb0c67d4c86055c7fd72218'} +2024-10-29 13:34:08,016 - lightrag - INFO - _do_upsert:query: + MERGE (n:`WEALTH`) + SET n += $properties + RETURN n + :result:{'entity_type': '"CONCEPT"', 'description': '"Wealth is referred to as a \'golden idol\' that has displaced genuine happiness in Scrooge\'s life, highlighting themes of materialism versus emotional fulfillment."', 'source_id': 'chunk-b2f98bc7abb0c67d4c86055c7fd72218'} +2024-10-29 13:34:08,309 - lightrag - INFO - _do_upsert:query: + MERGE (n:`POVERTY`) + SET n += $properties + RETURN n + :result:{'entity_type': '"CONCEPT"', 'description': '"Poverty is presented in contrast to wealth, representing struggles and rejections of superficial values in Scrooge\'s past."', 'source_id': 'chunk-b2f98bc7abb0c67d4c86055c7fd72218'} +2024-10-29 13:34:08,577 - lightrag - INFO - _do_upsert:query: + MERGE (n:`THE YOUNG GIRL`) + SET n += $properties + RETURN n + :result:{'entity_type': '"PERSON"', 'description': '"The Young Girl is a significant figure from Scrooge\'s past, representing lost opportunities and innocence."', 'source_id': 'chunk-54bdd22db1f84a965b5f4c06c9216d8d'} +2024-10-29 13:34:08,848 - lightrag - INFO - _do_upsert:query: + MERGE (n:`THE MOTHER`) + SET n += $properties + RETURN n + :result:{'entity_type': '"PERSON"', 'description': '"The Mother exemplifies apprehension and hope regarding her husband\'s return, depicting the emotional burden of waiting and uncertainty.""The Mother is a character associated with the family dynamics during the Christmas scene, though her actions are not explicitly detailed.""The Mother is depicted as a comely matron, who enjoys the laughter and chaos with her children, showing warmth and family value."', 'source_id': 'chunk-da2472b4ef2a535b62908f14d0fb0ca9chunk-83ac129dc9b56f84c46760d153d68e93chunk-54bdd22db1f84a965b5f4c06c9216d8d'} +2024-10-29 13:34:09,123 - lightrag - INFO - _do_upsert:query: + MERGE (n:`THE DAUGHTER`) + SET n += $properties + RETURN n + :result:{'entity_type': '"PERSON"', 'description': '"The Daughter is involved in the scene of merriment and childhood play, representing the continuation of family joy."', 'source_id': 'chunk-54bdd22db1f84a965b5f4c06c9216d8d'} +2024-10-29 13:34:09,395 - lightrag - INFO - _do_upsert:query: + MERGE (n:`THE MAN`) + SET n += $properties + RETURN n + :result:{'entity_type': '"PERSON"', 'description': '"The Man is a character who brings Christmas toys and presents, representing the spirit of giving associated with the holiday season."', 'source_id': 'chunk-54bdd22db1f84a965b5f4c06c9216d8d'} +2024-10-29 13:34:09,659 - lightrag - INFO - _do_upsert:query: + MERGE (n:`CHRISTMAS TOYS AND PRESENTS`) + SET n += $properties + RETURN n + :result:{'entity_type': '"EVENT"', 'description': '"Christmas Toys and Presents are associated with joy and celebration, marking the festive occasion and the love shared among family."', 'source_id': 'chunk-54bdd22db1f84a965b5f4c06c9216d8d'} +2024-10-29 13:34:09,937 - lightrag - INFO - _do_upsert:query: + MERGE (n:`THE BOISTEROUS GROUP`) + SET n += $properties + RETURN n + :result:{'entity_type': '"ORGANIZATION"', 'description': '"The Boisterous Group consists of children engaged in playful and lively activities, embodying the joy and chaos of familial festivities."', 'source_id': 'chunk-54bdd22db1f84a965b5f4c06c9216d8d'} +2024-10-29 13:34:10,217 - lightrag - INFO - _do_upsert:query: + MERGE (n:`THE DEFENCELESS PORTER`) + SET n += $properties + RETURN n + :result:{'entity_type': '"PERSON"', 'description': '"The Defenceless Porter is a character who is humorously overrun by children excited for the Christmas celebrations and gifts."', 'source_id': 'chunk-54bdd22db1f84a965b5f4c06c9216d8d'} +2024-10-29 13:34:10,489 - lightrag - INFO - _do_upsert:query: + MERGE (n:`BELLE`) + SET n += $properties + RETURN n + :result:{'entity_type': '"PERSON"', 'description': '"Belle is Scrooge\'s former love whose presence evokes strong feelings of longing and sorrow in Scrooge."', 'source_id': 'chunk-da2472b4ef2a535b62908f14d0fb0ca9'} +2024-10-29 13:34:10,759 - lightrag - INFO - _do_upsert:query: + MERGE (n:`THE BEDROOM`) + SET n += $properties + RETURN n + :result:{'entity_type': '"GEO"', 'description': '"The Bedroom is the personal space of Scrooge where he undergoes significant emotional transitions and encounters the spirits."', 'source_id': 'chunk-da2472b4ef2a535b62908f14d0fb0ca9'} +2024-10-29 13:34:11,026 - lightrag - INFO - _do_upsert:query: + MERGE (n:`THE FATHER`) + SET n += $properties + RETURN n + :result:{'entity_type': '"PERSON"', 'description': '"The Father is a character who arrives home with Christmas presents, symbolizing familial joy and festive spirit."', 'source_id': 'chunk-da2472b4ef2a535b62908f14d0fb0ca9'} +2024-10-29 13:34:11,299 - lightrag - INFO - _do_upsert:query: + MERGE (n:`THE CHILDREN`) + SET n += $properties + RETURN n + :result:{'entity_type': '"PERSON"', 'description': '"The Children refer to the group of young individuals filled with wonder and delight during the Christmas festivities."', 'source_id': 'chunk-da2472b4ef2a535b62908f14d0fb0ca9'} +2024-10-29 13:34:11,570 - lightrag - INFO - _do_upsert:query: + MERGE (n:`THE PORTER`) + SET n += $properties + RETURN n + :result:{'entity_type': '"PERSON"', 'description': '"The Porter is a character who becomes the target of playful affection from the children, showcasing innocence and chaos during celebrations."', 'source_id': 'chunk-da2472b4ef2a535b62908f14d0fb0ca9'} +2024-10-29 13:34:11,834 - lightrag - INFO - _do_upsert:query: + MERGE (n:`THE DOLL'S FRYING PAN`) + SET n += $properties + RETURN n + :result:{'entity_type': '"EVENT"', 'description': '"The Doll\'s Frying Pan is part of a humorous incident involving the baby, which reflects the playful and chaotic ambiance of childhood."', 'source_id': 'chunk-da2472b4ef2a535b62908f14d0fb0ca9'} +2024-10-29 13:34:12,114 - lightrag - INFO - _do_upsert:query: + MERGE (n:`TURKEY`) + SET n += $properties + RETURN n + :result:{'entity_type': '"ORGANIZATION"', 'description': '"Turkey here represents a food item that symbolizes abundance and festive celebration, present in the spirit\'s demonstration of cheer."', 'source_id': 'chunk-843b5b2f944c7413d9ca876e2e2f151f'} +2024-10-29 13:34:12,379 - lightrag - INFO - _do_upsert:query: + MERGE (n:`HOLLY`) + SET n += $properties + RETURN n + :result:{'entity_type': '"ORGANIZATION"', 'description': '"Holly is a plant associated with Christmas, featured prominently in the Spirit\'s attire, symbolizing joy and celebration during the festive season.""Holly is a plant associated with Christmas, mentioned among other decorations that contribute to the festive atmosphere."', 'source_id': 'chunk-843b5b2f944c7413d9ca876e2e2f151fchunk-99b0ec7f7e006561352b5d65e849611d'} +2024-10-29 13:34:12,650 - lightrag - INFO - _do_upsert:query: + MERGE (n:`IVY`) + SET n += $properties + RETURN n + :result:{'entity_type': '"ORGANIZATION"', 'description': '"Ivy is another plant associated with the festive decor, symbolizing eternity and fidelity, adding to the spirit of the occasion."', 'source_id': 'chunk-843b5b2f944c7413d9ca876e2e2f151f'} +2024-10-29 13:34:12,922 - lightrag - INFO - _do_upsert:query: + MERGE (n:`CITY`) + SET n += $properties + RETURN n + :result:{'entity_type': '"GEO"', 'description': '"The City refers to a generic location embodying the community and societal norms, with which Scrooge has a complex relationship.""The City represents the urban setting where Scrooge witnesses the indifference of its inhabitants regarding his death.""The City represents the urban setting where Scrooge\'s transformation takes place, symbolizing the broader society impacted by his changes."', 'source_id': 'chunk-843b5b2f944c7413d9ca876e2e2f151fchunk-94bea83e7153fc2064aa382b494936a1chunk-02baee20cc9463dbe08170a8e1043e32'} +2024-10-29 13:34:13,196 - lightrag - INFO - _do_upsert:query: + MERGE (n:`TURKEYS`) + SET n += $properties + RETURN n + :result:{'entity_type': '"ORGANIZATION"', 'description': '"Turkeys are described as part of a lavish spread that symbolizes the abundance and joy of the Christmas season.""Turkeys represent a common food item associated with the Christmas feast, highlighting the culinary aspects of the celebration."', 'source_id': 'chunk-843b5b2f944c7413d9ca876e2e2f151fchunk-99b0ec7f7e006561352b5d65e849611d'} +2024-10-29 13:34:13,468 - lightrag - INFO - _do_upsert:query: + MERGE (n:`GEESE`) + SET n += $properties + RETURN n + :result:{'entity_type': '"ORGANIZATION"', 'description': '"Geese are another traditional food item during Christmas, contributing to the festive dining experiences.""Geese are included in the festive feast, representing the bounty and celebration associated with Christmas."', 'source_id': 'chunk-843b5b2f944c7413d9ca876e2e2f151fchunk-99b0ec7f7e006561352b5d65e849611d'} +2024-10-29 13:34:13,732 - lightrag - INFO - _do_upsert:query: + MERGE (n:`GAME`) + SET n += $properties + RETURN n + :result:{'entity_type': '"ORGANIZATION"', 'description': '"Game refers to meat served during the Christmas season, signifying abundance and celebration."', 'source_id': 'chunk-843b5b2f944c7413d9ca876e2e2f151f'} +2024-10-29 13:34:13,998 - lightrag - INFO - _do_upsert:query: + MERGE (n:`BRAWN`) + SET n += $properties + RETURN n + :result:{'entity_type': '"ORGANIZATION"', 'description': '"Brawn is a type of meat included in the festive gathering, representing the richness of the Christmas feast."', 'source_id': 'chunk-843b5b2f944c7413d9ca876e2e2f151f'} +2024-10-29 13:34:14,275 - lightrag - INFO - _do_upsert:query: + MERGE (n:`SUCKING-PIGS`) + SET n += $properties + RETURN n + :result:{'entity_type': '"ORGANIZATION"', 'description': '"Sucking-pigs represent a traditional dish during Christmas, showcasing the festive abundance."', 'source_id': 'chunk-843b5b2f944c7413d9ca876e2e2f151f'} +2024-10-29 13:34:14,550 - lightrag - INFO - _do_upsert:query: + MERGE (n:`SAUSAGES`) + SET n += $properties + RETURN n + :result:{'entity_type': '"ORGANIZATION"', 'description': '"Sausages contribute to the rich variety of foods present at the celebration, reflecting festive abundance."', 'source_id': 'chunk-843b5b2f944c7413d9ca876e2e2f151f'} +2024-10-29 13:34:14,824 - lightrag - INFO - _do_upsert:query: + MERGE (n:`PLUM-PUDDINGS`) + SET n += $properties + RETURN n + :result:{'entity_type': '"ORGANIZATION"', 'description': '"Plum-puddings are another festive dessert, symbolizing celebration and joy during Christmas."', 'source_id': 'chunk-843b5b2f944c7413d9ca876e2e2f151f'} +2024-10-29 13:34:15,099 - lightrag - INFO - _do_upsert:query: + MERGE (n:`BARRELS OF OYSTERS`) + SET n += $properties + RETURN n + :result:{'entity_type': '"ORGANIZATION"', 'description': '"Barrels of oysters symbolize luxury and indulgence in the holiday feast."', 'source_id': 'chunk-843b5b2f944c7413d9ca876e2e2f151f'} +2024-10-29 13:34:15,376 - lightrag - INFO - _do_upsert:query: + MERGE (n:`RED-HOT CHESTNUTS`) + SET n += $properties + RETURN n + :result:{'entity_type': '"ORGANIZATION"', 'description': '"Red-hot chestnuts are a warm snack commonly enjoyed during the Christmas season, adding to the festive atmosphere."', 'source_id': 'chunk-843b5b2f944c7413d9ca876e2e2f151f'} +2024-10-29 13:34:15,641 - lightrag - INFO - _do_upsert:query: + MERGE (n:`CHERRY-CHEEKED APPLES`) + SET n += $properties + RETURN n + :result:{'entity_type': '"ORGANIZATION"', 'description': '"Cherry-cheeked apples add to the feast\'s festive decoration and represent the sweetness of the season."', 'source_id': 'chunk-843b5b2f944c7413d9ca876e2e2f151f'} +2024-10-29 13:34:15,913 - lightrag - INFO - _do_upsert:query: + MERGE (n:`JUICY ORANGES`) + SET n += $properties + RETURN n + :result:{'entity_type': '"ORGANIZATION"', 'description': '"Juicy oranges symbolize freshness and abundance, often associated with Christmas festivities."', 'source_id': 'chunk-843b5b2f944c7413d9ca876e2e2f151f'} +2024-10-29 13:34:16,181 - lightrag - INFO - _do_upsert:query: + MERGE (n:`LUSCIOUS PEARS`) + SET n += $properties + RETURN n + :result:{'entity_type': '"ORGANIZATION"', 'description': '"Luscious pears contribute to the variety of festive foods, symbolizing richness during the holiday season."', 'source_id': 'chunk-843b5b2f944c7413d9ca876e2e2f151f'} +2024-10-29 13:34:16,453 - lightrag - INFO - _do_upsert:query: + MERGE (n:`IMMENSE TWELFTH-CAKES`) + SET n += $properties + RETURN n + :result:{'entity_type': '"ORGANIZATION"', 'description': '"Immense twelfth-cakes represent a traditional centerpiece of the Christmas feast, symbolizing celebration."', 'source_id': 'chunk-843b5b2f944c7413d9ca876e2e2f151f'} +2024-10-29 13:34:16,723 - lightrag - INFO - _do_upsert:query: + MERGE (n:`SEETHING BOWLS OF PUNCH`) + SET n += $properties + RETURN n + :result:{'entity_type': '"ORGANIZATION"', 'description': '"Seething bowls of punch are indicative of the festive beverages enjoyed during Christmas, adding to the celebratory atmosphere."', 'source_id': 'chunk-843b5b2f944c7413d9ca876e2e2f151f'} +2024-10-29 13:34:16,997 - lightrag - INFO - _do_upsert:query: + MERGE (n:`GREAT BRITAIN`) + SET n += $properties + RETURN n + :result:{'entity_type': '"GEO"', 'description': '"Great Britain is referenced as a location suffering from severe weather, which contrasts with the cheerful activities of its people during Christmas."', 'source_id': 'chunk-99b0ec7f7e006561352b5d65e849611d'} +2024-10-29 13:34:17,265 - lightrag - INFO - _do_upsert:query: + MERGE (n:`THE GROCERS`) + SET n += $properties + RETURN n + :result:{'entity_type': '"ORGANIZATION"', 'description': '"The Grocers are a social hub where customers eagerly purchase goods, contributing to the festive atmosphere of the day."', 'source_id': 'chunk-99b0ec7f7e006561352b5d65e849611d'} +2024-10-29 13:34:17,535 - lightrag - INFO - _do_upsert:query: + MERGE (n:`MISTLETOE`) + SET n += $properties + RETURN n + :result:{'entity_type': '"GEO"', 'description': '"Mistletoe is a traditional plant used for decoration during Christmas, symbolizing joy and a festive spirit."', 'source_id': 'chunk-99b0ec7f7e006561352b5d65e849611d'} +2024-10-29 13:34:17,798 - lightrag - INFO - _do_upsert:query: + MERGE (n:`POULTRY`) + SET n += $properties + RETURN n + :result:{'entity_type': '"GEO"', 'description': '"Poultry refers to various birds used for Christmas meals, representing the culinary traditions of the holiday."', 'source_id': 'chunk-99b0ec7f7e006561352b5d65e849611d'} +2024-10-29 13:34:18,069 - lightrag - INFO - _do_upsert:query: + MERGE (n:`CHESTNUTS`) + SET n += $properties + RETURN n + :result:{'entity_type': '"GEO"', 'description': '"Chestnuts are a festive food mentioned among the goods sold during Christmas, adding to the holiday\'s sensory experience."', 'source_id': 'chunk-99b0ec7f7e006561352b5d65e849611d'} +2024-10-29 13:34:18,345 - lightrag - INFO - _do_upsert:query: + MERGE (n:`SPANISH ONIONS`) + SET n += $properties + RETURN n + :result:{'entity_type': '"GEO"', 'description': '"Spanish Onions are a vegetable featured in the festive markets, enhancing the richness of Christmas cooking."', 'source_id': 'chunk-99b0ec7f7e006561352b5d65e849611d'} +2024-10-29 13:34:18,612 - lightrag - INFO - _do_upsert:query: + MERGE (n:`APPLES`) + SET n += $properties + RETURN n + :result:{'entity_type': '"GEO"', 'description': '"Apples are a seasonal fruit displayed prominently during Christmas markets, symbolizing traditional holiday fare."', 'source_id': 'chunk-99b0ec7f7e006561352b5d65e849611d'} +2024-10-29 13:34:18,881 - lightrag - INFO - _do_upsert:query: + MERGE (n:`PEARS`) + SET n += $properties + RETURN n + :result:{'entity_type': '"GEO"', 'description': '"Pears are another fruit contributing to the vibrant offerings in markets during the Christmas season."', 'source_id': 'chunk-99b0ec7f7e006561352b5d65e849611d'} +2024-10-29 13:34:19,152 - lightrag - INFO - _do_upsert:query: + MERGE (n:`GRAPES`) + SET n += $properties + RETURN n + :result:{'entity_type': '"GEO"', 'description': '"Grapes are included in the festive market displays, representing holiday indulgence."', 'source_id': 'chunk-99b0ec7f7e006561352b5d65e849611d'} +2024-10-29 13:34:19,429 - lightrag - INFO - _do_upsert:query: + MERGE (n:`FILBERTS`) + SET n += $properties + RETURN n + :result:{'entity_type': '"GEO"', 'description': '"Filberts are nuts that evoke nostalgia and contribute to the traditional foods associated with Christmas."', 'source_id': 'chunk-99b0ec7f7e006561352b5d65e849611d'} +2024-10-29 13:34:19,708 - lightrag - INFO - _do_upsert:query: + MERGE (n:`NORFOLK BIFFINS`) + SET n += $properties + RETURN n + :result:{'entity_type': '"GEO"', 'description': '"Norfolk Biffins are a type of apple referenced in the context of Christmas fruit offerings."', 'source_id': 'chunk-99b0ec7f7e006561352b5d65e849611d'} +2024-10-29 13:34:19,983 - lightrag - INFO - _do_upsert:query: + MERGE (n:`FIGS`) + SET n += $properties + RETURN n + :result:{'entity_type': '"GEO"', 'description': '"Figs are sweet fruits that are particularly mentioned as part of the festive market offerings during Christmas."', 'source_id': 'chunk-99b0ec7f7e006561352b5d65e849611d'} +2024-10-29 13:34:20,259 - lightrag - INFO - _do_upsert:query: + MERGE (n:`FRENCH PLUMS`) + SET n += $properties + RETURN n + :result:{'entity_type': '"GEO"', 'description': '"French Plums are fruits showcased in the Christmas markets, adding to the eclectic array of festive produce."', 'source_id': 'chunk-99b0ec7f7e006561352b5d65e849611d'} +2024-10-29 13:34:20,533 - lightrag - INFO - _do_upsert:query: + MERGE (n:`PETER CRATCHIT`) + SET n += $properties + RETURN n + :result:{'entity_type': '"PERSON"', 'description': '"Peter Cratchit is Bob\'s son, excited about dressing up and participating in the festive meal preparation.""Peter Cratchit is a member of the Cratchit family who participates in expressing their unity and happiness."', 'source_id': 'chunk-91572b3cd42786ba4cb2f180ca25cbf4chunk-b0f459f5af1c3a5e0b92cbe4ee48b77b'} +2024-10-29 13:34:20,796 - lightrag - INFO - _do_upsert:query: + MERGE (n:`THE GHOST OF CHRISTMAS PRESENT`) + SET n += $properties + RETURN n + :result:{'entity_type': '"EVENT"', 'description': '"The Ghost of Christmas Present is a spirit that guides Scrooge through his memories and the joy of the present Christmas celebration.""The Ghost of Christmas Present is a supernatural being that shows Scrooge the true spirit of Christmas, including kindness towards the poor.""The Ghost of Christmas Present signifies abundance and the spirit of joy that Scrooge is encouraged to embrace."', 'source_id': 'chunk-90b95db5c53e4364a6bee36b7aa4d70fchunk-43c9bee23adfa77aa9dedd22401bba7dchunk-b0f459f5af1c3a5e0b92cbe4ee48b77b'} +2024-10-29 13:34:21,070 - lightrag - INFO - _do_upsert:query: + MERGE (n:`CHRISTMAS DAY`) + SET n += $properties + RETURN n + :result:{'entity_type': '"EVENT"', 'description': '"Christmas Day is a holiday during which the characters express joy and the significance of communal dining.""Christmas Day is a significant holiday that marks the time of Scrooge\'s revelation and intent to change.""Christmas Day is celebrated by the Cratchit family with a communal meal and expressions of joy and togetherness, highlighting the importance of family and gratitude.""Christmas Day serves as the central event around which the family gathers and reflects on their feelings towards Scrooge."', 'source_id': 'chunk-90b95db5c53e4364a6bee36b7aa4d70fchunk-19d72c57ae3408758b18d2568e86dc6bchunk-7e2e7ebcc19a53b399dc03aded4743e7chunk-b0f459f5af1c3a5e0b92cbe4ee48b77b'} +2024-10-29 13:34:21,343 - lightrag - INFO - _do_upsert:query: + MERGE (n:`BAKER'S SHOPS`) + SET n += $properties + RETURN n + :result:{'entity_type': '"GEO"', 'description': '"Baker\'s Shops are locations where people bring their dinners, showcasing the community\'s festive preparation."', 'source_id': 'chunk-b0f459f5af1c3a5e0b92cbe4ee48b77b'} +2024-10-29 13:34:21,616 - lightrag - INFO - _do_upsert:query: + MERGE (n:`WICKER BASKETS`) + SET n += $properties + RETURN n + :result:{'entity_type': '"GEO"', 'description': '"Wicker Baskets are mentioned as items that characters use to carry their purchases, symbolizing the festive preparations of the community."', 'source_id': 'chunk-b0f459f5af1c3a5e0b92cbe4ee48b77b'} +2024-10-29 13:34:21,888 - lightrag - INFO - _do_upsert:query: + MERGE (n:`DINNERS`) + SET n += $properties + RETURN n + :result:{'entity_type': '"EVENT"', 'description': '"Dinners represent the communal and familial gatherings that occur during Christmas, emphasized in the text as significant for enjoyment and sharing."', 'source_id': 'chunk-b0f459f5af1c3a5e0b92cbe4ee48b77b'} +2024-10-29 13:34:22,161 - lightrag - INFO - _do_upsert:query: + MERGE (n:`CHRISTMAS GOOSE`) + SET n += $properties + RETURN n + :result:{'entity_type': '"FOOD"', 'description': '"The Christmas Goose is a traditional dish that symbolizes festive feasting and joy during the holiday."', 'source_id': 'chunk-b0f459f5af1c3a5e0b92cbe4ee48b77b'} +2024-10-29 13:34:22,432 - lightrag - INFO - _do_upsert:query: + MERGE (n:`FOUR-ROOMED HOUSE`) + SET n += $properties + RETURN n + :result:{'entity_type': '"GEO"', 'description': '"Bob Cratchit\'s four-roomed house serves as a setting that reflects the modest means yet warm atmosphere of the Cratchit family."', 'source_id': 'chunk-b0f459f5af1c3a5e0b92cbe4ee48b77b'} +2024-10-29 13:34:22,703 - lightrag - INFO - _do_upsert:query: + MERGE (n:`THE BAKER'S DOORWAY`) + SET n += $properties + RETURN n + :result:{'entity_type': '"GEO"', 'description': '"The Baker\'s Doorway is a place where the Spirit and Scrooge observe dinner carriers, indicating the communal effort in preparing for Christmas."', 'source_id': 'chunk-b0f459f5af1c3a5e0b92cbe4ee48b77b'} +2024-10-29 13:34:22,979 - lightrag - INFO - _do_upsert:query: + MERGE (n:`ANGRY WORDS`) + SET n += $properties + RETURN n + :result:{'entity_type': '"EVENT"', 'description': '"Angry Words refer to conflicts that arise between dinner carriers, showcasing human interactions and the spirit of camaraderie needed during the holiday."', 'source_id': 'chunk-b0f459f5af1c3a5e0b92cbe4ee48b77b'} +2024-10-29 13:34:23,256 - lightrag - INFO - _do_upsert:query: + MERGE (n:`BAKERS`) + SET n += $properties + RETURN n + :result:{'entity_type': '"ORGANIZATION"', 'description': '"Bakers are individuals contributing to the community\'s ability to celebrate by providing food for Christmas."', 'source_id': 'chunk-b0f459f5af1c3a5e0b92cbe4ee48b77b'} +2024-10-29 13:34:23,537 - lightrag - INFO - _do_upsert:query: + MERGE (n:`SAGE AND ONION`) + SET n += $properties + RETURN n + :result:{'entity_type': '"FOOD"', 'description': '"Sage and Onion are ingredients associated with the traditional preparation of Christmas Goose, evoking the culinary aspects of the holiday.""Sage and Onion is an ingredient used in the Cratchit family\'s Christmas dinner, symbolizing traditional cooking and festive meals."', 'source_id': 'chunk-503f0bfa5453467c7c61d160a3540ecachunk-b0f459f5af1c3a5e0b92cbe4ee48b77b'} +2024-10-29 13:34:23,802 - lightrag - INFO - _do_upsert:query: + MERGE (n:`CRATCHIT FAMILY`) + SET n += $properties + RETURN n + :result:{'entity_type': '"ORGANIZATION"', 'description': '"The Cratchit Family is a close-knit family characterized by love and togetherness, celebrating Christmas with simple but joyful traditions.""The Cratchit Family is portrayed as a close-knit group who, despite their hardships, find joy and gratitude during the Christmas gathering.""The Cratchit Family is portrayed as a loving unit celebrating Christmas together, with various members actively participating in the festivities.""The Cratchit family represents a unit bound by love and resilience in the face of adversity, dealing with emotional and financial struggles."', 'source_id': 'chunk-83ac129dc9b56f84c46760d153d68e93chunk-503f0bfa5453467c7c61d160a3540ecachunk-7e2e7ebcc19a53b399dc03aded4743e7chunk-19d72c57ae3408758b18d2568e86dc6b'} +2024-10-29 13:34:24,067 - lightrag - INFO - _do_upsert:query: + MERGE (n:`MASTER PETER CRATCHIT`) + SET n += $properties + RETURN n + :result:{'entity_type': '"PERSON"', 'description': '"Master Peter Cratchit is one of the young sons in the Cratchit family, actively contributes to the family\'s Christmas preparations with energy and enthusiasm."', 'source_id': 'chunk-7e2e7ebcc19a53b399dc03aded4743e7'} +2024-10-29 13:34:24,338 - lightrag - INFO - _do_upsert:query: + MERGE (n:`THE GOOSE`) + SET n += $properties + RETURN n + :result:{'entity_type': '"EVENT"', 'description': '"The Goose is a central part of the Cratchit family Christmas dinner, which they celebrate with excitement and anticipation, symbolizing abundance and joy."', 'source_id': 'chunk-7e2e7ebcc19a53b399dc03aded4743e7'} +2024-10-29 13:34:24,619 - lightrag - INFO - _do_upsert:query: + MERGE (n:`CHRISTMAS PUDDING`) + SET n += $properties + RETURN n + :result:{'entity_type': '"EVENT"', 'description': '"The Christmas Pudding is a significant dish prepared by Mrs. Cratchit, symbolizing the family\'s festive celebration and unity."', 'source_id': 'chunk-503f0bfa5453467c7c61d160a3540eca'} +2024-10-29 13:34:24,891 - lightrag - INFO - _do_upsert:query: + MERGE (n:`CRATCHIT DINNER`) + SET n += $properties + RETURN n + :result:{'entity_type': '"EVENT"', 'description': '"The Cratchit Dinner is a gathering of the Cratchit family for their Christmas feast, embodying tradition and familial love."', 'source_id': 'chunk-503f0bfa5453467c7c61d160a3540eca'} +2024-10-29 13:34:25,158 - lightrag - INFO - _do_upsert:query: + MERGE (n:`CHIMNEY CORNER`) + SET n += $properties + RETURN n + :result:{'entity_type': '"GEO"', 'description': '"The Chimney Corner refers to a specific location in the Cratchit household associated with warmth and family gatherings during the holiday season."', 'source_id': 'chunk-503f0bfa5453467c7c61d160a3540eca'} +2024-10-29 13:34:25,430 - lightrag - INFO - _do_upsert:query: + MERGE (n:`SURPLUS POPULATION`) + SET n += $properties + RETURN n + :result:{'entity_type': '"CONCEPT"', 'description': '"Surplus Population is a concept referenced in Scrooge\'s reflection on societal values and the consequences of neglect, particularly concerning the vulnerable."', 'source_id': 'chunk-503f0bfa5453467c7c61d160a3540eca'} +2024-10-29 13:34:25,700 - lightrag - INFO - _do_upsert:query: + MERGE (n:`FEAST`) + SET n += $properties + RETURN n + :result:{'entity_type': '"EVENT"', 'description': '"The Feast refers to the Christmas celebration involving food and family, symbolizing gratitude and festive traditions."', 'source_id': 'chunk-503f0bfa5453467c7c61d160a3540eca'} +2024-10-29 13:34:25,975 - lightrag - INFO - _do_upsert:query: + MERGE (n:`HANDLE OF KNIFE`) + SET n += $properties + RETURN n + :result:{'entity_type': '"OBJECT"', 'description': '"The Handle of Knife used by Tiny Tim during Christmas dinner signifies the child\'s involvement and excitement in the festive celebrations."', 'source_id': 'chunk-503f0bfa5453467c7c61d160a3540eca'} +2024-10-29 13:34:26,246 - lightrag - INFO - _do_upsert:query: + MERGE (n:`PLATES`) + SET n += $properties + RETURN n + :result:{'entity_type': '"OBJECT"', 'description': '"The Plates represent the meal served and the act of sharing food, highlighting the importance of gathering around the table as a family."', 'source_id': 'chunk-503f0bfa5453467c7c61d160a3540eca'} +2024-10-29 13:34:26,520 - lightrag - INFO - _do_upsert:query: + MERGE (n:`HEARTH`) + SET n += $properties + RETURN n + :result:{'entity_type': '"GEO"', 'description': '"The Hearth represents the heart of the home where the family gathers, symbolizing warmth, comfort, and family ties."', 'source_id': 'chunk-503f0bfa5453467c7c61d160a3540eca'} +2024-10-29 13:34:26,797 - lightrag - INFO - _do_upsert:query: + MERGE (n:`APPLE SAUCE`) + SET n += $properties + RETURN n + :result:{'entity_type': '"OBJECT"', 'description': '"Apple Sauce is a dish served with the Cratchit family\'s Christmas dinner, contributing to the festive meal."', 'source_id': 'chunk-503f0bfa5453467c7c61d160a3540eca'} +2024-10-29 13:34:27,069 - lightrag - INFO - _do_upsert:query: + MERGE (n:`MASHED POTATOES`) + SET n += $properties + RETURN n + :result:{'entity_type': '"OBJECT"', 'description': '"Mashed Potatoes are another dish served during the Cratchit family\'s Christmas dinner, showcasing the simplicity and warmth of their celebration."', 'source_id': 'chunk-503f0bfa5453467c7c61d160a3540eca'} +2024-10-29 13:34:27,345 - lightrag - INFO - _do_upsert:query: + MERGE (n:`MASTER PETER`) + SET n += $properties + RETURN n + :result:{'entity_type': '"PERSON"', 'description': '"Master Peter is a member of the Cratchit family, who is considered for a job opportunity and reflects on his future prospects during the Christmas gathering."', 'source_id': 'chunk-19d72c57ae3408758b18d2568e86dc6b'} +2024-10-29 13:34:27,620 - lightrag - INFO - _do_upsert:query: + MERGE (n:`MARTHA`) + SET n += $properties + RETURN n + :result:{'entity_type': '"PERSON"', 'description': '"Martha is a poor apprentice at a milliner\'s and shares her experience with the family during their Christmas gathering, contributing to the family atmosphere."', 'source_id': 'chunk-19d72c57ae3408758b18d2568e86dc6b'} +2024-10-29 13:34:27,890 - lightrag - INFO - _do_upsert:query: + MERGE (n:`THE LORD`) + SET n += $properties + RETURN n + :result:{'entity_type': '"PERSON"', 'description': '"The Lord is mentioned by Martha as someone she encountered, illustrating her experiences outside her family\'s struggles."', 'source_id': 'chunk-19d72c57ae3408758b18d2568e86dc6b'} +2024-10-29 13:34:28,157 - lightrag - INFO - _do_upsert:query: + MERGE (n:`THE COUNTESS`) + SET n += $properties + RETURN n + :result:{'entity_type': '"PERSON"', 'description': '"The Countess is referenced by Martha, showcasing her interaction with figures of higher social status, contrasting with the Cratchit family\'s situation."', 'source_id': 'chunk-19d72c57ae3408758b18d2568e86dc6b'} +2024-10-29 13:34:28,424 - lightrag - INFO - _do_upsert:query: + MERGE (n:`CHRISTMAS FEAST`) + SET n += $properties + RETURN n + :result:{'entity_type': '"EVENT"', 'description': '"The Christmas Feast is the central gathering for the Cratchit family, where various interactions occur, highlighting their feelings towards Scrooge."', 'source_id': 'chunk-19d72c57ae3408758b18d2568e86dc6b'} +2024-10-29 13:34:28,694 - lightrag - INFO - _do_upsert:query: + MERGE (n:`THE LAMPLIGHTER`) + SET n += $properties + RETURN n + :result:{'entity_type': '"PERSON"', 'description': '"The Lamplighter is a character who fills the street with light, representing the warmth and joy of the holiday season."', 'source_id': 'chunk-91614df5cb74cbe5e109a338a82041e9'} +2024-10-29 13:34:28,963 - lightrag - INFO - _do_upsert:query: + MERGE (n:`THE MINERS`) + SET n += $properties + RETURN n + :result:{'entity_type': '"ORGANIZATION"', 'description': '"The Miners refer to a group of laborers living in a bleak landscape, embodying the struggles and resilience of working-class life."', 'source_id': 'chunk-91614df5cb74cbe5e109a338a82041e9'} +2024-10-29 13:34:29,230 - lightrag - INFO - _do_upsert:query: + MERGE (n:`THE OLD MAN`) + SET n += $properties + RETURN n + :result:{'entity_type': '"PERSON"', 'description': '"The Old Man is portrayed as a figure of light and joy among his family, singing a Christmas song that connects generations."', 'source_id': 'chunk-91614df5cb74cbe5e109a338a82041e9'} +2024-10-29 13:34:29,507 - lightrag - INFO - _do_upsert:query: + MERGE (n:`THE LIGHTHOUSE`) + SET n += $properties + RETURN n + :result:{'entity_type': '"GEO"', 'description': '"The Lighthouse is a solitary structure standing on a reef, symbolizing hope and guidance amidst the tumultuous sea."', 'source_id': 'chunk-91614df5cb74cbe5e109a338a82041e9'} +2024-10-29 13:34:29,778 - lightrag - INFO - _do_upsert:query: + MERGE (n:`THE SHIP`) + SET n += $properties + RETURN n + :result:{'entity_type': '"GEO"', 'description': '"The Ship is described as a vessel on the open sea, where the crew reflects on Christmas, showcasing camaraderie and a sense of belonging."', 'source_id': 'chunk-91614df5cb74cbe5e109a338a82041e9'} +2024-10-29 13:34:30,049 - lightrag - INFO - _do_upsert:query: + MERGE (n:`THE CHEERFUL COMPANY`) + SET n += $properties + RETURN n + :result:{'entity_type': '"ORGANIZATION"', 'description': '"The Cheerful Company refers to the group assembled around the fire, representing family togetherness and joy during Christmas."', 'source_id': 'chunk-91614df5cb74cbe5e109a338a82041e9'} +2024-10-29 13:34:30,326 - lightrag - INFO - _do_upsert:query: + MERGE (n:`THE SETTING SUN`) + SET n += $properties + RETURN n + :result:{'entity_type': '"GEO"', 'description': '"The Setting Sun is depicted as leaving a streak of fiery red, symbolizing transition and the passage of time against the desolation of the moor."', 'source_id': 'chunk-91614df5cb74cbe5e109a338a82041e9'} +2024-10-29 13:34:30,601 - lightrag - INFO - _do_upsert:query: + MERGE (n:`THE FROZEN MOOR`) + SET n += $properties + RETURN n + :result:{'entity_type': '"GEO"', 'description': '"The Frozen Moor is a bleak and desolate landscape, representing hardship and the struggles faced by those who live there."', 'source_id': 'chunk-91614df5cb74cbe5e109a338a82041e9'} +2024-10-29 13:34:30,871 - lightrag - INFO - _do_upsert:query: + MERGE (n:`THE HUT`) + SET n += $properties + RETURN n + :result:{'entity_type': '"GEO"', 'description': '"The Hut is a shelter for the miners that provides warmth and a gathering space for family during the winter, serving as a symbol of refuge."', 'source_id': 'chunk-91614df5cb74cbe5e109a338a82041e9'} +2024-10-29 13:34:31,142 - lightrag - INFO - _do_upsert:query: + MERGE (n:`STORM-BIRDS`) + SET n += $properties + RETURN n + :result:{'entity_type': '"GEO"', 'description': '"Storm-Birds are depicted as creatures that rise and fall with the waves, symbolizing the harshness of the environment and the connection to the sea."', 'source_id': 'chunk-91614df5cb74cbe5e109a338a82041e9'} +2024-10-29 13:34:31,420 - lightrag - INFO - _do_upsert:query: + MERGE (n:`THE HEARTH`) + SET n += $properties + RETURN n + :result:{'entity_type': '"GEO"', 'description': '"The Hearth is the gathering place around which the old man and his family sing, signifying warmth, comfort, and familial bonds during the festive season."', 'source_id': 'chunk-91614df5cb74cbe5e109a338a82041e9'} +2024-10-29 13:34:31,697 - lightrag - INFO - _do_upsert:query: + MERGE (n:`CHRISTMAS SONG`) + SET n += $properties + RETURN n + :result:{'entity_type': '"EVENT"', 'description': '"The Christmas Song is the traditional tune sung by the old man and his family, highlighting themes of nostalgia and familial joy during the holiday season."', 'source_id': 'chunk-91614df5cb74cbe5e109a338a82041e9'} +2024-10-29 13:34:31,981 - lightrag - INFO - _do_upsert:query: + MERGE (n:`SCROOGE'S NIECE`) + SET n += $properties + RETURN n + :result:{'entity_type': '"PERSON"', 'description': '"Scrooge\'s Niece is depicted as a beautiful and lively character who expresses strong opinions about her uncle Scrooge.""Scrooge\'s niece is depicted as a joyful participant in the evening\'s festivities, engaging in games and music."', 'source_id': 'chunk-773d0df1dd25c356f7b771d780583e09chunk-43c9bee23adfa77aa9dedd22401bba7d'} +2024-10-29 13:34:32,252 - lightrag - INFO - _do_upsert:query: + MERGE (n:`TOPPER`) + SET n += $properties + RETURN n + :result:{'entity_type': '"PERSON"', 'description': '"Topper is a character known for his lively and mischievous behavior during the games at the festive gathering.""Topper is a character who participates in the dinner and seems to have an interest in one of Scrooge\'s niece\'s sisters.""Topper is a guest at the Christmas party, representing the jovial and festive spirit of the gathering with Fred and Scrooge."', 'source_id': 'chunk-94bea83e7153fc2064aa382b494936a1chunk-773d0df1dd25c356f7b771d780583e09chunk-43c9bee23adfa77aa9dedd22401bba7d'} +2024-10-29 13:34:32,523 - lightrag - INFO - _do_upsert:query: + MERGE (n:`SCROOGE'S NEPHEW'S FRIENDS`) + SET n += $properties + RETURN n + :result:{'entity_type': '"ORGANIZATION"', 'description': '"Scrooge\'s Nephew\'s Friends are a group of individuals gathered around the dinner table, characterized by their shared laughter and merriment in contrast to Scrooge."', 'source_id': 'chunk-773d0df1dd25c356f7b771d780583e09'} +2024-10-29 13:34:32,791 - lightrag - INFO - _do_upsert:query: + MERGE (n:`SCROOGE'S NIECE'S SISTERS`) + SET n += $properties + RETURN n + :result:{'entity_type': '"ORGANIZATION"', 'description': '"Scrooge\'s Niece\'s Sisters are part of the family gathering, contributing to the lively atmosphere and expressing opinions about Scrooge."', 'source_id': 'chunk-773d0df1dd25c356f7b771d780583e09'} +2024-10-29 13:34:33,057 - lightrag - INFO - _do_upsert:query: + MERGE (n:`THE DINNER`) + SET n += $properties + RETURN n + :result:{'entity_type': '"EVENT"', 'description': '"The Dinner is a social event characterized by laughter, music, and discussions about Scrooge, portraying a festive Christmas gathering."', 'source_id': 'chunk-773d0df1dd25c356f7b771d780583e09'} +2024-10-29 13:34:33,329 - lightrag - INFO - _do_upsert:query: + MERGE (n:`THE FIRE`) + SET n += $properties + RETURN n + :result:{'entity_type': '"CONCEPT"', 'description': '"The Fire represents warmth and comfort during the family gathering, enhancing the atmosphere of camaraderie."', 'source_id': 'chunk-773d0df1dd25c356f7b771d780583e09'} +2024-10-29 13:34:33,602 - lightrag - INFO - _do_upsert:query: + MERGE (n:`THE BOTTLE`) + SET n += $properties + RETURN n + :result:{'entity_type': '"CONCEPT"', 'description': '"The Bottle symbolizes celebration and the shared merriment among the characters during their Christmas gathering."', 'source_id': 'chunk-773d0df1dd25c356f7b771d780583e09'} +2024-10-29 13:34:33,870 - lightrag - INFO - _do_upsert:query: + MERGE (n:`MUSIC`) + SET n += $properties + RETURN n + :result:{'entity_type': '"EVENT"', 'description': '"Music is an activity enjoyed by the family, contributing to the festive environment of their gathering."', 'source_id': 'chunk-773d0df1dd25c356f7b771d780583e09'} +2024-10-29 13:34:34,143 - lightrag - INFO - _do_upsert:query: + MERGE (n:`LAUGHTER`) + SET n += $properties + RETURN n + :result:{'entity_type': '"CONCEPT"', 'description': '"Laughter symbolizes joy and the contagious nature of good humor among the characters, especially in the context of Christmas."', 'source_id': 'chunk-773d0df1dd25c356f7b771d780583e09'} +2024-10-29 13:34:34,422 - lightrag - INFO - _do_upsert:query: + MERGE (n:`BLIND MAN'S-BUFF`) + SET n += $properties + RETURN n + :result:{'entity_type': '"EVENT"', 'description': '"Blind Man\'s-Buff is a game played during the gathering, showcasing the playful and carefree nature of the participants."', 'source_id': 'chunk-43c9bee23adfa77aa9dedd22401bba7d'} +2024-10-29 13:34:34,698 - lightrag - INFO - _do_upsert:query: + MERGE (n:`FORFEITS`) + SET n += $properties + RETURN n + :result:{'entity_type': '"EVENT"', 'description': '"Forfeits is another game played that allows participants to engage in fun activities, emphasizing the spirit of the gathering."', 'source_id': 'chunk-43c9bee23adfa77aa9dedd22401bba7d'} +2024-10-29 13:34:34,977 - lightrag - INFO - _do_upsert:query: + MERGE (n:`GAMES`) + SET n += $properties + RETURN n + :result:{'entity_type': '"EVENT"', 'description': '"The Games represent various activities played during the gathering, reinforcing themes of merriment and family unity."', 'source_id': 'chunk-43c9bee23adfa77aa9dedd22401bba7d'} +2024-10-29 13:34:35,249 - lightrag - INFO - _do_upsert:query: + MERGE (n:`IGNORANCE`) + SET n += $properties + RETURN n + :result:{'entity_type': '"CONCEPT"', 'description': '"Ignorance is personified as a boy shown to Scrooge by the Spirit, representing a societal issue that appeals for attention and change.""Ignorance is personified as a boy that symbolizes the dangers of ignoring social issues and the consequences of a lack of awareness."', 'source_id': 'chunk-02baee20cc9463dbe08170a8e1043e32chunk-e7637ff18c5ded77a68cce0a87883fad'} +2024-10-29 13:34:35,519 - lightrag - INFO - _do_upsert:query: + MERGE (n:`HUMANITY`) + SET n += $properties + RETURN n + :result:{'entity_type': '"CONCEPT"', 'description': '"Humanity’s relationship with its most vulnerable members is central to the lessons presented to Scrooge through the Spirit\'s journey."', 'source_id': 'chunk-e7637ff18c5ded77a68cce0a87883fad'} +2024-10-29 13:34:35,790 - lightrag - INFO - _do_upsert:query: + MERGE (n:`CHRISTMAS HOLIDAYS`) + SET n += $properties + RETURN n + :result:{'entity_type': '"EVENT"', 'description': '"The Christmas Holidays serve as a crucial backdrop for the narrative, representing themes of generosity, family, and redemption."', 'source_id': 'chunk-e7637ff18c5ded77a68cce0a87883fad'} +2024-10-29 13:34:36,054 - lightrag - INFO - _do_upsert:query: + MERGE (n:`TWELFTH-NIGHT PARTY`) + SET n += $properties + RETURN n + :result:{'entity_type': '"EVENT"', 'description': '"The Twelfth-Night Party is mentioned as a festive gathering that Scrooge and the Spirit visit, symbolizing celebration and community."', 'source_id': 'chunk-e7637ff18c5ded77a68cce0a87883fad'} +2024-10-29 13:34:36,330 - lightrag - INFO - _do_upsert:query: + MERGE (n:`ALMSHOUSE`) + SET n += $properties + RETURN n + :result:{'entity_type': '"LOCATION"', 'description': '"The Almshouse is a place symbolizing human suffering and neglect, where the Spirit shows Scrooge the harsh realities faced by the needy."', 'source_id': 'chunk-e7637ff18c5ded77a68cce0a87883fad'} +2024-10-29 13:34:36,607 - lightrag - INFO - _do_upsert:query: + MERGE (n:`HOSPITAL`) + SET n += $properties + RETURN n + :result:{'entity_type': '"LOCATION"', 'description': '"The Hospital represents a location of care and compassion, highlighting the human condition and the need for kindness."', 'source_id': 'chunk-e7637ff18c5ded77a68cce0a87883fad'} +2024-10-29 13:34:36,878 - lightrag - INFO - _do_upsert:query: + MERGE (n:`GAOL`) + SET n += $properties + RETURN n + :result:{'entity_type': '"LOCATION"', 'description': '"The Gaol symbolizes imprisonment and despair, representing the societal failings and the need for mercy and understanding."', 'source_id': 'chunk-e7637ff18c5ded77a68cce0a87883fad'} +2024-10-29 13:34:37,160 - lightrag - INFO - _do_upsert:query: + MERGE (n:`MAN`) + SET n += $properties + RETURN n + :result:{'entity_type': '"CONCEPT"', 'description': '"Man reflects the collective responsibility of humanity towards its most vulnerable, portrayed through the metaphor of Ignorance and Want."', 'source_id': 'chunk-e7637ff18c5ded77a68cce0a87883fad'} +2024-10-29 13:34:37,437 - lightrag - INFO - _do_upsert:query: + MERGE (n:`MISERY'S REFUGE`) + SET n += $properties + RETURN n + :result:{'entity_type': '"CONCEPT"', 'description': '"Misery\'s Refuge represents the places where society fails to provide support and care for those in need, emphasizing social responsibility."', 'source_id': 'chunk-e7637ff18c5ded77a68cce0a87883fad'} +2024-10-29 13:34:37,704 - lightrag - INFO - _do_upsert:query: + MERGE (n:`MULLED WINE`) + SET n += $properties + RETURN n + :result:{'entity_type': '"CONCEPT"', 'description': '"Mulled Wine symbolizes warmth and cheer, often associated with celebrations during the holiday season, particularly in the context of family gatherings."', 'source_id': 'chunk-e7637ff18c5ded77a68cce0a87883fad'} +2024-10-29 13:34:37,976 - lightrag - INFO - _do_upsert:query: + MERGE (n:`HEALTH`) + SET n += $properties + RETURN n + :result:{'entity_type': '"CONCEPT"', 'description': '"Health is a theme represented through the need for care and the role of the community in supporting those who are suffering."', 'source_id': 'chunk-e7637ff18c5ded77a68cce0a87883fad'} +2024-10-29 13:34:38,243 - lightrag - INFO - _do_upsert:query: + MERGE (n:`WANT`) + SET n += $properties + RETURN n + :result:{'entity_type': '"CONCEPT"', 'description': '"Want is depicted as a girl, representing the consequences of poverty and desire in society, warning against neglecting these issues."', 'source_id': 'chunk-02baee20cc9463dbe08170a8e1043e32'} +2024-10-29 13:34:38,616 - lightrag - INFO - _do_upsert:query: + MERGE (n:`THE FUTURE`) + SET n += $properties + RETURN n + :result:{'entity_type': '"CONCEPT"', 'description': '"The Future is represented as a realm of possibility and consequence that concerns Scrooge\'s fate and choices.""The Future represents the potential outcomes of Scrooge’s life choices, depicted through the visions shown by the Spirits."', 'source_id': 'chunk-91572b3cd42786ba4cb2f180ca25cbf4chunk-02baee20cc9463dbe08170a8e1043e32'} +2024-10-29 13:34:38,894 - lightrag - INFO - _do_upsert:query: + MERGE (n:`THE BUSINESSMEN`) + SET n += $properties + RETURN n + :result:{'entity_type': '"ORGANIZATION"', 'description': '"The Businessmen are a group of individuals in the City who display a lack of concern about Scrooge\'s death, reflecting societal apathy toward individual loss."', 'source_id': 'chunk-02baee20cc9463dbe08170a8e1043e32'} +2024-10-29 13:34:39,162 - lightrag - INFO - _do_upsert:query: + MERGE (n:`DEATH`) + SET n += $properties + RETURN n + :result:{'entity_type': '"EVENT"', 'description': '"Death in the story is a significant event that triggers discussion among the Businessmen and prompts Scrooge\'s reflections.""Death is described as a powerful force in the narrative, represented through the imagery of a cold, rigid presence and the contemplation of mortality.""Death refers to the passing of a character that triggers a range of emotions and reflections among the living, influencing their lives and relationships."', 'source_id': 'chunk-e1f29eeadc1d8ab46dc8a0bbd3c56b64chunk-83ac129dc9b56f84c46760d153d68e93chunk-02baee20cc9463dbe08170a8e1043e32'} +2024-10-29 13:34:39,434 - lightrag - INFO - _do_upsert:query: + MERGE (n:`JACOB`) + SET n += $properties + RETURN n + :result:{'entity_type': '"PERSON"', 'description': '"Jacob is referenced as Scrooge\'s old partner, significant for his recent death and the impact of this event on Scrooge\'s reflections."', 'source_id': 'chunk-f1a4fbcf1ed86864b9bfd5e8dba4c683'} +2024-10-29 13:34:39,707 - lightrag - INFO - _do_upsert:query: + MERGE (n:`THE PHANTOM`) + SET n += $properties + RETURN n + :result:{'entity_type': '"ORGANIZATION"', 'description': '"The Phantom represents the supernatural element in Scrooge\'s journey of self-reflection and moral awakening."', 'source_id': 'chunk-f1a4fbcf1ed86864b9bfd5e8dba4c683'} +2024-10-29 13:34:39,976 - lightrag - INFO - _do_upsert:query: + MERGE (n:`BUSINESSMEN`) + SET n += $properties + RETURN n + :result:{'entity_type': '"ORGANIZATION"', 'description': '"The businessmen are characterized as wealthy and important individuals in Scrooge\'s past, highlighting themes of social status and superficiality in interactions."', 'source_id': 'chunk-f1a4fbcf1ed86864b9bfd5e8dba4c683'} +2024-10-29 13:34:40,249 - lightrag - INFO - _do_upsert:query: + MERGE (n:`THE OBSCURE PART OF TOWN`) + SET n += $properties + RETURN n + :result:{'entity_type': '"GEO"', 'description': '"The Obscure Part of Town is a location described as having a bad reputation, symbolizing the darker aspects of society that Scrooge must confront."', 'source_id': 'chunk-f1a4fbcf1ed86864b9bfd5e8dba4c683'} +2024-10-29 13:34:40,518 - lightrag - INFO - _do_upsert:query: + MERGE (n:`THE LOW-BROWED SHOP`) + SET n += $properties + RETURN n + :result:{'entity_type': '"ORGANIZATION"', 'description': '"The Low-Browed Shop is a setting that symbolizes neglect and degradation, filled with discarded items and representing societal decay."', 'source_id': 'chunk-f1a4fbcf1ed86864b9bfd5e8dba4c683'} +2024-10-29 13:34:40,796 - lightrag - INFO - _do_upsert:query: + MERGE (n:`GENTLEMAN WITH EXCRESCENCE`) + SET n += $properties + RETURN n + :result:{'entity_type': '"PERSON"', 'description': '"The Gentleman with Excrescence is characterized by a distinctive physical feature and expresses opinions about a funeral with a humorous outlook."', 'source_id': 'chunk-f1a4fbcf1ed86864b9bfd5e8dba4c683'} +2024-10-29 13:34:41,058 - lightrag - INFO - _do_upsert:query: + MERGE (n:`LARGE CHIN MAN`) + SET n += $properties + RETURN n + :result:{'entity_type': '"PERSON"', 'description': '"The Large Chin Man is a character who displays disinterest and engages in conversation about the deceased, revealing a lack of genuine concern."', 'source_id': 'chunk-f1a4fbcf1ed86864b9bfd5e8dba4c683'} +2024-10-29 13:34:41,333 - lightrag - INFO - _do_upsert:query: + MERGE (n:`COLD WEATHER`) + SET n += $properties + RETURN n + :result:{'entity_type': '"EVENT"', 'description': '"Cold Weather is noted in the conversation between the businessmen, serving as a backdrop to their trivial interactions."', 'source_id': 'chunk-f1a4fbcf1ed86864b9bfd5e8dba4c683'} +2024-10-29 13:34:41,604 - lightrag - INFO - _do_upsert:query: + MERGE (n:`THE PARTY`) + SET n += $properties + RETURN n + :result:{'entity_type': '"EVENT"', 'description': '"The Party is a festive gathering that celebrates Christmas, filled with games and joyful unity among friends and family.""The Party refers to the potential gathering for the funeral, which the characters consider with amusement rather than sincerity."', 'source_id': 'chunk-94bea83e7153fc2064aa382b494936a1chunk-f1a4fbcf1ed86864b9bfd5e8dba4c683'} +2024-10-29 13:34:41,884 - lightrag - INFO - _do_upsert:query: + MERGE (n:`RICH MEN`) + SET n += $properties + RETURN n + :result:{'entity_type': '"ORGANIZATION"', 'description': '"Rich Men are depicted as individuals of considerable wealth and status, reflecting the social hierarchy and indifference towards the less fortunate."', 'source_id': 'chunk-f1a4fbcf1ed86864b9bfd5e8dba4c683'} +2024-10-29 13:34:42,153 - lightrag - INFO - _do_upsert:query: + MERGE (n:`STREET`) + SET n += $properties + RETURN n + :result:{'entity_type': '"GEO"', 'description': '"The Street refers to the location where Scrooge observes the businessmen, symbolizing the busy yet impersonal urban environment."', 'source_id': 'chunk-f1a4fbcf1ed86864b9bfd5e8dba4c683'} +2024-10-29 13:34:42,428 - lightrag - INFO - _do_upsert:query: + MERGE (n:`MULTITUDES`) + SET n += $properties + RETURN n + :result:{'entity_type': '"CONCEPT"', 'description': '"Multitudes refer to the crowd in the city, illustrating the anonymity and disconnect among people in urban life."', 'source_id': 'chunk-f1a4fbcf1ed86864b9bfd5e8dba4c683'} +2024-10-29 13:34:42,701 - lightrag - INFO - _do_upsert:query: + MERGE (n:`SHADOW OF HIMSELF`) + SET n += $properties + RETURN n + :result:{'entity_type': '"CONCEPT"', 'description': '"Shadow of Himself represents Scrooge\'s introspection and anticipation of his future actions based on his reflections."', 'source_id': 'chunk-f1a4fbcf1ed86864b9bfd5e8dba4c683'} +2024-10-29 13:34:42,973 - lightrag - INFO - _do_upsert:query: + MERGE (n:`BAD REPUTE`) + SET n += $properties + RETURN n + :result:{'entity_type': '"CONCEPT"', 'description': '"Bad Repute refers to the negative perception attached to certain areas of the town, underscoring themes of moral decay and neglect."', 'source_id': 'chunk-f1a4fbcf1ed86864b9bfd5e8dba4c683'} +2024-10-29 13:34:43,242 - lightrag - INFO - _do_upsert:query: + MERGE (n:`FROUZY CURTAINING`) + SET n += $properties + RETURN n + :result:{'entity_type': '"CONCEPT"', 'description': '"Frouzy Curtaining signifies the poor living conditions and the sense of disarray found in the low-browed shop and its surroundings."', 'source_id': 'chunk-f1a4fbcf1ed86864b9bfd5e8dba4c683'} +2024-10-29 13:34:43,512 - lightrag - INFO - _do_upsert:query: + MERGE (n:`RUSTY KEYS, NAILS, CHAINS, HINGES`) + SET n += $properties + RETURN n + :result:{'entity_type': '"CONCEPT"', 'description': '"Rusty Keys, Nails, Chains, Hinges are symbolic items representing the remnants of past lives and the detritus of a forgotten society."', 'source_id': 'chunk-f1a4fbcf1ed86864b9bfd5e8dba4c683'} +2024-10-29 13:34:43,782 - lightrag - INFO - _do_upsert:query: + MERGE (n:`OLD JOE`) + SET n += $properties + RETURN n + :result:{'entity_type': '"PERSON"', 'description': '"Old Joe is a grey-haired man, nearly seventy years old, who runs a shop and conducts business in a rather nonchalant manner, showcasing a certain charm amidst his questionable dealings."', 'source_id': 'chunk-60fc063c79fc0d4acc91a57e79de04dc'} +2024-10-29 13:34:44,055 - lightrag - INFO - _do_upsert:query: + MERGE (n:`MRS. DILBER`) + SET n += $properties + RETURN n + :result:{'entity_type': '"PERSON"', 'description': '"Mrs. Dilber is a laundress who is involved in the discussion about the belongings they are handling, exhibiting a pragmatic attitude towards the situation."', 'source_id': 'chunk-60fc063c79fc0d4acc91a57e79de04dc'} +2024-10-29 13:34:44,321 - lightrag - INFO - _do_upsert:query: + MERGE (n:`THE SHOP`) + SET n += $properties + RETURN n + :result:{'entity_type': '"ORGANIZATION"', 'description': '"The Shop is Old Joe\'s place of business and serves as the meeting location for the characters, where they evaluate and exchange stolen items."', 'source_id': 'chunk-60fc063c79fc0d4acc91a57e79de04dc'} +2024-10-29 13:34:44,594 - lightrag - INFO - _do_upsert:query: + MERGE (n:`THE BUNDLE`) + SET n += $properties + RETURN n + :result:{'entity_type': '"EVENT"', 'description': '"The Bundle refers to the collection of stolen items that the characters present to Old Joe for appraisal."', 'source_id': 'chunk-60fc063c79fc0d4acc91a57e79de04dc'} +2024-10-29 13:34:44,861 - lightrag - INFO - _do_upsert:query: + MERGE (n:`THE CHARWOMAN`) + SET n += $properties + RETURN n + :result:{'entity_type': '"PERSON"', 'description': '"The Charwoman is a character who enters the shop first, contributing to the conversation about their collective situation concerning the deceased."', 'source_id': 'chunk-60fc063c79fc0d4acc91a57e79de04dc'} +2024-10-29 13:34:45,167 - lightrag - INFO - _do_upsert:query: + MERGE (n:`THE UNDERTAKER'S MAN`) + SET n += $properties + RETURN n + :result:{'entity_type': '"PERSON"', 'description': '"The Undertaker\'s Man is a character who appears after The Charwoman, joining the group in discussing their encounters and the deceased\'s possessions."', 'source_id': 'chunk-60fc063c79fc0d4acc91a57e79de04dc'} +2024-10-29 13:34:45,452 - lightrag - INFO - _do_upsert:query: + MERGE (n:`THE CLOTHES AND ITEMS`) + SET n += $properties + RETURN n + :result:{'entity_type': '"EVENT"', 'description': '"The Clothes and Items refer to the various possessions being appraised, representing the themes of loss and exploitation."', 'source_id': 'chunk-60fc063c79fc0d4acc91a57e79de04dc'} +2024-10-29 13:34:45,722 - lightrag - INFO - _do_upsert:query: + MERGE (n:`THE DEAD MAN`) + SET n += $properties + RETURN n + :result:{'entity_type': '"PERSON"', 'description': '"The Dead Man is mentioned as the previous owner of the items being appraised, embodying the consequences of greed and isolation."', 'source_id': 'chunk-60fc063c79fc0d4acc91a57e79de04dc'} +2024-10-29 13:34:45,996 - lightrag - INFO - _do_upsert:query: + MERGE (n:`THE DECEASED`) + SET n += $properties + RETURN n + :result:{'entity_type': '"PERSON"', 'description': '"The Deceased is a character discussed among Joe and the Woman, representing themes of avarice and death, although his identity is not revealed."', 'source_id': 'chunk-e1f29eeadc1d8ab46dc8a0bbd3c56b64'} +2024-10-29 13:34:46,259 - lightrag - INFO - _do_upsert:query: + MERGE (n:`THE BED`) + SET n += $properties + RETURN n + :result:{'entity_type': '"GEO"', 'description': '"The Bed represents a central object in the scene, symbolizing the final resting place of The Deceased and contributing to the themes of mortality and neglect."', 'source_id': 'chunk-e1f29eeadc1d8ab46dc8a0bbd3c56b64'} +2024-10-29 13:34:46,540 - lightrag - INFO - _do_upsert:query: + MERGE (n:`THE BLANKETS`) + SET n += $properties + RETURN n + :result:{'entity_type': '"GEO"', 'description': '"The Blankets are discussed in the context of the deceased\'s possessions, highlighting themes of care and abandonment after death."', 'source_id': 'chunk-e1f29eeadc1d8ab46dc8a0bbd3c56b64'} +2024-10-29 13:34:46,813 - lightrag - INFO - _do_upsert:query: + MERGE (n:`THE DARK ROOM`) + SET n += $properties + RETURN n + :result:{'entity_type': '"GEO"', 'description': '"The Dark Room serves as the setting for the scene, enhancing the atmosphere of dread and the theme of impending death."', 'source_id': 'chunk-e1f29eeadc1d8ab46dc8a0bbd3c56b64'} +2024-10-29 13:34:47,085 - lightrag - INFO - _do_upsert:query: + MERGE (n:`THE FLANNEL BAG`) + SET n += $properties + RETURN n + :result:{'entity_type': '"GEO"', 'description': '"The Flannel Bag contains money and symbolizes the materialistic aspects of life and the relationships surrounding The Deceased’s possessions."', 'source_id': 'chunk-e1f29eeadc1d8ab46dc8a0bbd3c56b64'} +2024-10-29 13:34:47,355 - lightrag - INFO - _do_upsert:query: + MERGE (n:`AVARICE`) + SET n += $properties + RETURN n + :result:{'entity_type': '"CONCEPT"', 'description': '"Avarice is a theme personified in Scrooge\'s contemplation of The Deceased, symbolizing greed and its ultimate consequences in death."', 'source_id': 'chunk-e1f29eeadc1d8ab46dc8a0bbd3c56b64'} +2024-10-29 13:34:47,631 - lightrag - INFO - _do_upsert:query: + MERGE (n:`CAROLINE`) + SET n += $properties + RETURN n + :result:{'entity_type': '"PERSON"', 'description': '"Caroline is a character representing hope and emotional depth, reacting to her husband\'s news about their financial situation with a mixture of dread and optimism."', 'source_id': 'chunk-83ac129dc9b56f84c46760d153d68e93'} +2024-10-29 13:34:47,907 - lightrag - INFO - _do_upsert:query: + MERGE (n:`THE DARK CHAMBER`) + SET n += $properties + RETURN n + :result:{'entity_type': '"CONCEPT"', 'description': '"The Dark Chamber represents a metaphorical space associated with death, despair, and the consequences of one\'s actions, highlighted during Scrooge\'s reflections."', 'source_id': 'chunk-83ac129dc9b56f84c46760d153d68e93'} +2024-10-29 13:34:48,180 - lightrag - INFO - _do_upsert:query: + MERGE (n:`THE ROOM BY DAYLIGHT`) + SET n += $properties + RETURN n + :result:{'entity_type': '"CONCEPT"', 'description': '"The Room by Daylight symbolizes hope and normalcy amidst adversity, contrasting with the earlier dark and fearful atmosphere."', 'source_id': 'chunk-83ac129dc9b56f84c46760d153d68e93'} +2024-10-29 13:34:48,456 - lightrag - INFO - _do_upsert:query: + MERGE (n:`PETER`) + SET n += $properties + RETURN n + :result:{'entity_type': '"PERSON"', 'description': '"Peter is a member of the Cratchit family, characterized by his quiet demeanor while being engaged in reading, representing the next generation\'s concern.""Peter is one of the Cratchit children, who occasionally expresses a sense of duty and future aspirations, contributing to family discussions."', 'source_id': 'chunk-83ac129dc9b56f84c46760d153d68e93chunk-1d4b58de5429cd1261370c231c8673e8'} +2024-10-29 13:34:48,727 - lightrag - INFO - _do_upsert:query: + MERGE (n:`FEROCIOUS CAT`) + SET n += $properties + RETURN n + :result:{'entity_type': '"CONCEPT"', 'description': '"The Ferocious Cat represents untamed instincts and survival in a harsh environment, providing a sense of discomfort and disturbance in Scrooge\'s reflections."', 'source_id': 'chunk-83ac129dc9b56f84c46760d153d68e93'} +2024-10-29 13:34:49,003 - lightrag - INFO - _do_upsert:query: + MERGE (n:`FEARFUL PLACE`) + SET n += $properties + RETURN n + :result:{'entity_type': '"CONCEPT"', 'description': '"The Fearful Place embodies Scrooge\'s dread of confronting his past mistakes and the implications of death, showcasing his internal struggles."', 'source_id': 'chunk-83ac129dc9b56f84c46760d153d68e93'} +2024-10-29 13:34:49,268 - lightrag - INFO - _do_upsert:query: + MERGE (n:`THE LONG-EXPECTED KNOCK`) + SET n += $properties + RETURN n + :result:{'entity_type': '"EVENT"', 'description': '"The Long-Expected Knock signifies a pivotal moment of anticipation related to the return of the mother’s husband, laden with emotional significance."', 'source_id': 'chunk-83ac129dc9b56f84c46760d153d68e93'} +2024-10-29 13:34:49,542 - lightrag - INFO - _do_upsert:query: + MERGE (n:`THE CANDLE-LIGHT`) + SET n += $properties + RETURN n + :result:{'entity_type': '"CONCEPT"', 'description': '"The Candle-Light represents fragility and vulnerability, affecting the perception of Tiny Tim and reflecting the family\'s struggles with health and poverty."', 'source_id': 'chunk-83ac129dc9b56f84c46760d153d68e93'} +2024-10-29 13:34:49,815 - lightrag - INFO - _do_upsert:query: + MERGE (n:`DEBT`) + SET n += $properties + RETURN n + :result:{'entity_type': '"CONCEPT"', 'description': '"Debt signifies a financial burden underpinning the Cratchit family\'s tension and expectations regarding their future after a death event."', 'source_id': 'chunk-83ac129dc9b56f84c46760d153d68e93'} +2024-10-29 13:34:50,093 - lightrag - INFO - _do_upsert:query: + MERGE (n:`MERCILESS CREDITOR`) + SET n += $properties + RETURN n + :result:{'entity_type': '"CONCEPT"', 'description': '"The Merciless Creditor symbolizes the harsh realities of financial struggles faced by the Cratchit family, representing the societal pressures they endure."', 'source_id': 'chunk-83ac129dc9b56f84c46760d153d68e93'} +2024-10-29 13:34:50,369 - lightrag - INFO - _do_upsert:query: + MERGE (n:`EMOTION`) + SET n += $properties + RETURN n + :result:{'entity_type': '"CONCEPT"', 'description': '"Emotion encompasses the various feelings experienced by the characters in response to death, hope, and familial bonds, underscoring the human condition."', 'source_id': 'chunk-83ac129dc9b56f84c46760d153d68e93'} +2024-10-29 13:34:50,643 - lightrag - INFO - _do_upsert:query: + MERGE (n:`KIND WORD`) + SET n += $properties + RETURN n + :result:{'entity_type': '"CONCEPT"', 'description': '"A Kind Word illustrates the theme of empathy and how small gestures can significantly impact one\'s emotional state, as recalled by Scrooge."', 'source_id': 'chunk-83ac129dc9b56f84c46760d153d68e93'} +2024-10-29 13:34:50,926 - lightrag - INFO - _do_upsert:query: + MERGE (n:`CLASPED HANDS`) + SET n += $properties + RETURN n + :result:{'entity_type': '"CONCEPT"', 'description': '"Clasped Hands symbolize prayer or hope, reflecting the mother\'s reaction and the emotional weight carried by her and the Cratchit family."', 'source_id': 'chunk-83ac129dc9b56f84c46760d153d68e93'} +2024-10-29 13:34:51,202 - lightrag - INFO - _do_upsert:query: + MERGE (n:`MR. SCROOGE'S NEPHEW`) + SET n += $properties + RETURN n + :result:{'entity_type': '"PERSON"', 'description': '"Mr. Scrooge\'s Nephew is a kind gentleman who shows concern for Bob Cratchit and offers support, symbolizing generosity and compassion."', 'source_id': 'chunk-1d4b58de5429cd1261370c231c8673e8'} +2024-10-29 13:34:51,470 - lightrag - INFO - _do_upsert:query: + MERGE (n:`THE CRATCHIT FAMILY`) + SET n += $properties + RETURN n + :result:{'entity_type': '"ORGANIZATION"', 'description': '"The Cratchit Family consists of Bob, Mrs. Cratchit, and their children, highlighting themes of familial love and support amidst hardship."', 'source_id': 'chunk-1d4b58de5429cd1261370c231c8673e8'} +2024-10-29 13:34:51,751 - lightrag - INFO - _do_upsert:query: + MERGE (n:`THE TWO YOUNG CRATCHITS`) + SET n += $properties + RETURN n + :result:{'entity_type': '"PERSON"', 'description': '"The Two Young Cratchits are the younger children in the Cratchit family, who express affection towards their father, Bob."', 'source_id': 'chunk-1d4b58de5429cd1261370c231c8673e8'} +2024-10-29 13:34:52,023 - lightrag - INFO - _do_upsert:query: + MERGE (n:`CHRISTMAS DINNER`) + SET n += $properties + RETURN n + :result:{'entity_type': '"EVENT"', 'description': '"Christmas Dinner is an important family gathering that symbolizes togetherness and joy despite hardships."', 'source_id': 'chunk-1d4b58de5429cd1261370c231c8673e8'} +2024-10-29 13:34:52,295 - lightrag - INFO - _do_upsert:query: + MERGE (n:`SUNDAY`) + SET n += $properties + RETURN n + :result:{'entity_type': '"EVENT"', 'description': '"Sunday is presented as a day of walking to a green place, signifying hope and connection to nature in the Cratchit family\'s lives."', 'source_id': 'chunk-1d4b58de5429cd1261370c231c8673e8'} +2024-10-29 13:34:52,564 - lightrag - INFO - _do_upsert:query: + MERGE (n:`THE STREET`) + SET n += $properties + RETURN n + :result:{'entity_type': '"GEO"', 'description': '"The Street is where Mr. Scrooge\'s Nephew encounters Bob Cratchit, facilitating a significant moment of kindness in the narrative."', 'source_id': 'chunk-1d4b58de5429cd1261370c231c8673e8'} +2024-10-29 13:34:52,839 - lightrag - INFO - _do_upsert:query: + MERGE (n:`THE WORK ON THE TABLE`) + SET n += $properties + RETURN n + :result:{'entity_type': '"CONCEPT"', 'description': '"The Work on the Table represents the industriousness and efforts of the Cratchit family to provide and bond together."', 'source_id': 'chunk-1d4b58de5429cd1261370c231c8673e8'} +2024-10-29 13:34:53,110 - lightrag - INFO - _do_upsert:query: + MERGE (n:`BOB`) + SET n += $properties + RETURN n + :result:{'entity_type': '"PERSON"', 'description': '"Bob is a character who reflects on the importance of unity and remembering Tiny Tim among his family.""Bob is referenced humorously by Scrooge in the context of a joke regarding a large turkey."', 'source_id': 'chunk-8f738cb25d60a7dab782162d9d0a25edchunk-91572b3cd42786ba4cb2f180ca25cbf4'} +2024-10-29 13:34:53,378 - lightrag - INFO - _do_upsert:query: + MERGE (n:`THE GHOST OF CHRISTMAS YET TO COME`) + SET n += $properties + RETURN n + :result:{'entity_type': '"ORGANIZATION"', 'description': '"The Ghost of Christmas Yet to Come is a spectral being that guides Scrooge through visions of his potential future."', 'source_id': 'chunk-91572b3cd42786ba4cb2f180ca25cbf4'} +2024-10-29 13:34:53,647 - lightrag - INFO - _do_upsert:query: + MERGE (n:`TWO YOUNG CRATCHITS`) + SET n += $properties + RETURN n + :result:{'entity_type': '"PERSON"', 'description': '"The Two Young Cratchits symbolize the innocence and joy of childhood within the Cratchit family."', 'source_id': 'chunk-91572b3cd42786ba4cb2f180ca25cbf4'} +2024-10-29 13:34:53,916 - lightrag - INFO - _do_upsert:query: + MERGE (n:`THE GRAVE`) + SET n += $properties + RETURN n + :result:{'entity_type': '"GEO"', 'description': '"The Grave symbolizes the ultimate consequence of Scrooge\'s actions and the life he leads, representing mortality."', 'source_id': 'chunk-91572b3cd42786ba4cb2f180ca25cbf4'} +2024-10-29 13:34:54,185 - lightrag - INFO - _do_upsert:query: + MERGE (n:`THE PAST`) + SET n += $properties + RETURN n + :result:{'entity_type': '"GEO"', 'description': '"The Past is a concept that reflects Scrooge\'s memories and previous actions that influence his current state and future decisions."', 'source_id': 'chunk-91572b3cd42786ba4cb2f180ca25cbf4'} +2024-10-29 13:34:54,452 - lightrag - INFO - _do_upsert:query: + MERGE (n:`THE PRESENT`) + SET n += $properties + RETURN n + :result:{'entity_type': '"GEO"', 'description': '"The Present represents the current moment in Scrooge\'s life that he must recognize and change to achieve redemption."', 'source_id': 'chunk-91572b3cd42786ba4cb2f180ca25cbf4'} +2024-10-29 13:34:54,730 - lightrag - INFO - _do_upsert:query: + MERGE (n:`THE POULTERER'S`) + SET n += $properties + RETURN n + :result:{'entity_type': '"ORGANIZATION"', 'description': '"The Poulterer\'s is a shop where Scrooge intends to buy a turkey for the Cratchit family."', 'source_id': 'chunk-90b95db5c53e4364a6bee36b7aa4d70f'} +2024-10-29 13:34:55,001 - lightrag - INFO - _do_upsert:query: + MERGE (n:`THE GHOST OF JACOB MARLEY`) + SET n += $properties + RETURN n + :result:{'entity_type': '"EVENT"', 'description': '"The Ghost of Jacob Marley is the supernatural being that visits Scrooge to warn him and set the stage for his transformation."', 'source_id': 'chunk-90b95db5c53e4364a6bee36b7aa4d70f'} +2024-10-29 13:34:55,279 - lightrag - INFO - _do_upsert:query: + MERGE (n:`THE GHOST OF CHRISTMAS FUTURE`) + SET n += $properties + RETURN n + :result:{'entity_type': '"EVENT"', 'description': '"The Ghost of Christmas Future represents the potential consequences of Scrooge\'s actions and choices."', 'source_id': 'chunk-90b95db5c53e4364a6bee36b7aa4d70f'} +2024-10-29 13:34:55,543 - lightrag - INFO - _do_upsert:query: + MERGE (n:`SUNDAY CLOTHES BOY`) + SET n += $properties + RETURN n + :result:{'entity_type': '"PERSON"', 'description': '"The boy in Sunday clothes serves as a character who interacts with Scrooge, demonstrating innocence and curiosity."', 'source_id': 'chunk-90b95db5c53e4364a6bee36b7aa4d70f'} +2024-10-29 13:34:55,821 - lightrag - INFO - _do_upsert:query: + MERGE (n:`THE SITTING ROOM`) + SET n += $properties + RETURN n + :result:{'entity_type': '"LOCATION"', 'description': '"The Sitting Room is a significant space in Scrooge\'s home where he experiences emotional revelations and transformations."', 'source_id': 'chunk-90b95db5c53e4364a6bee36b7aa4d70f'} +2024-10-29 13:34:56,089 - lightrag - INFO - _do_upsert:query: + MERGE (n:`THE TURKEY`) + SET n += $properties + RETURN n + :result:{'entity_type': '"EVENT"', 'description': '"The Turkey is a large bird that Scrooge has humorously commented on sending to Bob, symbolizing generosity and Christmas spirit."', 'source_id': 'chunk-8f738cb25d60a7dab782162d9d0a25ed'} +2024-10-29 13:34:56,357 - lightrag - INFO - _do_upsert:query: + MERGE (n:`THE CHURCH`) + SET n += $properties + RETURN n + :result:{'entity_type': '"ORGANIZATION"', 'description': '"The Church is a place Scrooge visits, indicating his desire to engage in the Christmas spirit and community."', 'source_id': 'chunk-8f738cb25d60a7dab782162d9d0a25ed'} +2024-10-29 13:34:56,620 - lightrag - INFO - _do_upsert:query: + MERGE (n:`THE PEOPLE`) + SET n += $properties + RETURN n + :result:{'entity_type': '"ORGANIZATION"', 'description': '"The People represent the various individuals Scrooge encounters during his joyful walk, symbolizing community and shared happiness."', 'source_id': 'chunk-8f738cb25d60a7dab782162d9d0a25ed'} +2024-10-29 13:34:56,890 - lightrag - INFO - _do_upsert:query: + MERGE (n:`THE TANK`) + SET n += $properties + RETURN n + :result:{'entity_type': '"LOCATION"', 'description': '"The Tank refers to Bob Cratchit\'s work area, where he encounters Scrooge and faces the consequences of arriving late."', 'source_id': 'chunk-94bea83e7153fc2064aa382b494936a1'} +2024-10-29 13:34:57,162 - lightrag - INFO - _do_upsert:query: + MERGE (n:`THE FOUNDATION`) + SET n += $properties + RETURN n + :result:{'entity_type': '"ORGANIZATION"', 'description': '"The Foundation, referred to as the Project Gutenberg Literary Archive Foundation, owns the compilation copyright of Project Gutenberg\'s collection."', 'source_id': 'chunk-194cd9680f4967f48bea89678f7ece21'} +2024-10-29 13:34:57,434 - lightrag - INFO - _do_upsert:query: + MERGE (n:`UNITED STATES`) + SET n += $properties + RETURN n + :result:{'entity_type': '"GEO"', 'description': '"The United States is a geographical location with specific copyright laws affecting the distribution of electronic works."', 'source_id': 'chunk-194cd9680f4967f48bea89678f7ece21'} +2024-10-29 13:34:57,702 - lightrag - INFO - _do_upsert:query: + MERGE (n:`PROJECT GUTENBERG LICENSE`) + SET n += $properties + RETURN n + :result:{'entity_type': '"EVENT"', 'description': '"The Project Gutenberg License governs the use, copying, and distribution of the works contained within the Project Gutenberg digital library.""The Project Gutenberg License is a set of terms that govern the use and distribution of works associated with Project Gutenberg."', 'source_id': 'chunk-194cd9680f4967f48bea89678f7ece21chunk-af4ae173c561e4594c5aea96198cce9d'} +2024-10-29 13:34:57,973 - lightrag - INFO - _do_upsert:query: + MERGE (n:`TRANSCRIBER'S NOTE`) + SET n += $properties + RETURN n + :result:{'entity_type': '"EVENT"', 'description': '"Transcriber\'s Note refers to the added content by the transcriber, indicating additional information or context regarding the work."', 'source_id': 'chunk-194cd9680f4967f48bea89678f7ece21'} +2024-10-29 13:34:58,241 - lightrag - INFO - _do_upsert:query: + MERGE (n:`END OF THE PROJECT GUTENBERG EBOOK A CHRISTMAS CAROL`) + SET n += $properties + RETURN n + :result:{'entity_type': '"EVENT"', 'description': '"END OF THE PROJECT GUTENBERG EBOOK A CHRISTMAS CAROL marks the conclusion of a particular eBook within the Project Gutenberg collection."', 'source_id': 'chunk-194cd9680f4967f48bea89678f7ece21'} +2024-10-29 13:34:58,508 - lightrag - INFO - _do_upsert:query: + MERGE (n:`OLD EDITIONS`) + SET n += $properties + RETURN n + :result:{'entity_type': '"ORGANIZATION"', 'description': '"Old editions refer to previous versions of eBooks that are being renamed and replaced, part of Project Gutenberg\'s updating process."', 'source_id': 'chunk-194cd9680f4967f48bea89678f7ece21'} +2024-10-29 13:34:58,779 - lightrag - INFO - _do_upsert:query: + MERGE (n:`SPECIAL RULES`) + SET n += $properties + RETURN n + :result:{'entity_type': '"CONCEPT"', 'description': '"Special rules outline specific guidelines that govern the copying and distribution of Project Gutenberg eBooks to protect its mission and trademark."', 'source_id': 'chunk-194cd9680f4967f48bea89678f7ece21'} +2024-10-29 13:34:59,046 - lightrag - INFO - _do_upsert:query: + MERGE (n:`GENERAL TERMS OF USE`) + SET n += $properties + RETURN n + :result:{'entity_type': '"CONCEPT"', 'description': '"General Terms of Use details the overall framework and guidelines for using Project Gutenberg\'s works and services."', 'source_id': 'chunk-194cd9680f4967f48bea89678f7ece21'} +2024-10-29 13:34:59,318 - lightrag - INFO - _do_upsert:query: + MERGE (n:`COPYRIGHT LAW`) + SET n += $properties + RETURN n + :result:{'entity_type': '"CONCEPT"', 'description': '"Copyright law encompasses the legal rules governing the rights and usage of literary and artistic works, relevant to Project Gutenberg\'s operations."', 'source_id': 'chunk-194cd9680f4967f48bea89678f7ece21'} +2024-10-29 13:34:59,594 - lightrag - INFO - _do_upsert:query: + MERGE (n:`TRADEMARK LICENSE`) + SET n += $properties + RETURN n + :result:{'entity_type': '"CONCEPT"', 'description': '"Trademark license describes the regulations for using the Project Gutenberg trademark and ensures its protection in distributions."', 'source_id': 'chunk-194cd9680f4967f48bea89678f7ece21'} +2024-10-29 13:34:59,857 - lightrag - INFO - _do_upsert:query: + MERGE (n:`DERIVATIVE WORKS`) + SET n += $properties + RETURN n + :result:{'entity_type': '"CONCEPT"', 'description': '"Derivative works refer to adaptations or creations based on original texts, allowed under certain conditions set by Project Gutenberg."', 'source_id': 'chunk-194cd9680f4967f48bea89678f7ece21'} +2024-10-29 13:35:00,128 - lightrag - INFO - _do_upsert:query: + MERGE (n:`PROJECT GUTENBERG LITERARY ARCHIVE FOUNDATION`) + SET n += $properties + RETURN n + :result:{'entity_type': '"ORGANIZATION"', 'description': '"The Project Gutenberg Literary Archive Foundation is a 501(c)(3) non-profit educational corporation dedicated to increasing access to public domain and licensed works that can be freely distributed in machine-readable form.""The Project Gutenberg Literary Archive Foundation is a non-profit organization established to ensure the free distribution of electronic works and maintain the Project Gutenberg™ collection for future generations.""The Project Gutenberg Literary Archive Foundation manages the Project Gutenberg trademark and oversees rights and licensing for the organization."', 'source_id': 'chunk-af4ae173c561e4594c5aea96198cce9dchunk-c51b3dc560b408cce12cdfe5c9c94f57chunk-85f77f5e3a9aba01133555a2d20e2fd8'} +2024-10-29 13:35:00,409 - lightrag - INFO - _do_upsert:query: + MERGE (n:`U.S. COPYRIGHT LAW`) + SET n += $properties + RETURN n + :result:{'entity_type': '"CONCEPT"', 'description': '"U.S. Copyright Law refers to the legal framework governing copyright protection in the United States, which impacts the distribution and usage of literary works and other creative content.""U.S. copyright law governs the protection of intellectual property in the United States, impacting how works can be distributed through Project Gutenberg™."', 'source_id': 'chunk-af4ae173c561e4594c5aea96198cce9dchunk-c51b3dc560b408cce12cdfe5c9c94f57'} +2024-10-29 13:35:00,678 - lightrag - INFO - _do_upsert:query: + MERGE (n:`ELECTRONIC WORK`) + SET n += $properties + RETURN n + :result:{'entity_type': '"CONCEPT"', 'description': '"An Electronic Work refers to the digital version of text or literature that is provided by Project Gutenberg, which may be freely used under certain conditions."', 'source_id': 'chunk-af4ae173c561e4594c5aea96198cce9d'} +2024-10-29 13:35:00,948 - lightrag - INFO - _do_upsert:query: + MERGE (n:`USERS`) + SET n += $properties + RETURN n + :result:{'entity_type': '"PERSON"', 'description': '"Users refer to individuals accessing, viewing, copying, or distributing Project Gutenberg works, subject to the terms of the Project Gutenberg License."', 'source_id': 'chunk-af4ae173c561e4594c5aea96198cce9d'} +2024-10-29 13:35:01,219 - lightrag - INFO - _do_upsert:query: + MERGE (n:`ROYALTY FEES`) + SET n += $properties + RETURN n + :result:{'entity_type': '"CONCEPT"', 'description': '"Royalty Fees are payments due to the owner of the Project Gutenberg trademark based on the profits derived from the distribution or use of Project Gutenberg works."', 'source_id': 'chunk-af4ae173c561e4594c5aea96198cce9d'} +2024-10-29 13:35:01,489 - lightrag - INFO - _do_upsert:query: + MERGE (n:`PERMISSION`) + SET n += $properties + RETURN n + :result:{'entity_type': '"CONCEPT"', 'description': '"Permission is the consent required to use or distribute Project Gutenberg works under terms that differ from the established Project Gutenberg License."', 'source_id': 'chunk-af4ae173c561e4594c5aea96198cce9d'} +2024-10-29 13:35:01,753 - lightrag - INFO - _do_upsert:query: + MERGE (n:`PROJECT GUTENBERG™`) + SET n += $properties + RETURN n + :result:{'entity_type': '"ORGANIZATION"', 'description': '"Project Gutenberg™ is synonymous with the free distribution of electronic works, supported by volunteers and donations to provide accessible formats for a variety of computers."', 'source_id': 'chunk-c51b3dc560b408cce12cdfe5c9c94f57'} +2024-10-29 13:35:02,027 - lightrag - INFO - _do_upsert:query: + MERGE (n:`MISSISSIPPI`) + SET n += $properties + RETURN n + :result:{'entity_type': '"GEO"', 'description': '"Mississippi is the U.S. state where the Project Gutenberg Literary Archive Foundation is organized under local laws.""Mississippi is the state under whose laws the Project Gutenberg Literary Archive Foundation is organized, relevant to its legal status."', 'source_id': 'chunk-c51b3dc560b408cce12cdfe5c9c94f57chunk-85f77f5e3a9aba01133555a2d20e2fd8'} +2024-10-29 13:35:02,290 - lightrag - INFO - _do_upsert:query: + MERGE (n:`SALT LAKE CITY`) + SET n += $properties + RETURN n + :result:{'entity_type': '"GEO"', 'description': '"Salt Lake City is the location of the Foundation\'s business office, indicating its operational base in the state of Utah.""Salt Lake City is the location of the business office of the Project Gutenberg Literary Archive Foundation."', 'source_id': 'chunk-c51b3dc560b408cce12cdfe5c9c94f57chunk-85f77f5e3a9aba01133555a2d20e2fd8'} +2024-10-29 13:35:02,560 - lightrag - INFO - _do_upsert:query: + MERGE (n:`PROJECT GUTENBERG™ COLLECTION`) + SET n += $properties + RETURN n + :result:{'entity_type': '"EVENT"', 'description': '"The Project Gutenberg™ Collection refers to the collection of electronic works created through the efforts of volunteers, aimed at free access to literature."', 'source_id': 'chunk-c51b3dc560b408cce12cdfe5c9c94f57'} +2024-10-29 13:35:02,829 - lightrag - INFO - _do_upsert:query: + MERGE (n:`PROJECT GUTENBERG™ TRADEMARK`) + SET n += $properties + RETURN n + :result:{'entity_type': '"ORGANIZATION"', 'description': '"The Project Gutenberg™ trademark is the intellectual property associated with Project Gutenberg™, which signifies its dedication to the free distribution of electronic works."', 'source_id': 'chunk-c51b3dc560b408cce12cdfe5c9c94f57'} +2024-10-29 13:35:03,097 - lightrag - INFO - _do_upsert:query: + MERGE (n:`EIN 64-6221541`) + SET n += $properties + RETURN n + :result:{'entity_type': '"ORGANIZATION"', 'description': '"The EIN 64-6221541 is the federal tax identification number for the Project Gutenberg Literary Archive Foundation, which identifies it for tax purposes."', 'source_id': 'chunk-c51b3dc560b408cce12cdfe5c9c94f57'} +2024-10-29 13:35:03,364 - lightrag - INFO - _do_upsert:query: + MERGE (n:`DEFECTS`) + SET n += $properties + RETURN n + :result:{'entity_type': '"CONCEPT"', 'description': '"Defects refer to potential issues that may arise within Project Gutenberg™ electronic works, including incomplete or corrupt data and other errors."', 'source_id': 'chunk-c51b3dc560b408cce12cdfe5c9c94f57'} +2024-10-29 13:35:03,627 - lightrag - INFO - _do_upsert:query: + MERGE (n:`LIMITED WARRANTY`) + SET n += $properties + RETURN n + :result:{'entity_type': '"CONCEPT"', 'description': '"Limited warranty refers to the disclaimer provided by the Project Gutenberg Literary Archive Foundation regarding the condition and reliability of electronic works provided."', 'source_id': 'chunk-c51b3dc560b408cce12cdfe5c9c94f57'} +2024-10-29 13:35:03,904 - lightrag - INFO - _do_upsert:query: + MERGE (n:`RIGHT OF REPLACEMENT OR REFUND`) + SET n += $properties + RETURN n + :result:{'entity_type': '"CONCEPT"', 'description': '"The Right of Replacement or Refund is a provision allowing users to request a refund or replacement for defective Project Gutenberg™ works within a specified timeframe."', 'source_id': 'chunk-c51b3dc560b408cce12cdfe5c9c94f57'} +2024-10-29 13:35:04,177 - lightrag - INFO - _do_upsert:query: + MERGE (n:`SECTION 3 AND 4`) + SET n += $properties + RETURN n + :result:{'entity_type': '"EVENT"', 'description': '"Sections 3 and 4 of the document provide information on how contributions and support can help Project Gutenberg™ continue its mission."', 'source_id': 'chunk-c51b3dc560b408cce12cdfe5c9c94f57'} +2024-10-29 13:35:04,452 - lightrag - INFO - _do_upsert:query: + MERGE (n:`VOLUNTEERS`) + SET n += $properties + RETURN n + :result:{'entity_type': '"PERSON"', 'description': '"Volunteers play a crucial role in the operation of Project Gutenberg™, contributing to copyright research, transcription, and proofreading of works to ensure quality and availability."', 'source_id': 'chunk-c51b3dc560b408cce12cdfe5c9c94f57'} +2024-10-29 13:35:04,718 - lightrag - INFO - _do_upsert:query: + MERGE (n:`DONATIONS`) + SET n += $properties + RETURN n + :result:{'entity_type': '"CONCEPT"', 'description': '"Donations are financial contributions that provide essential support to Project Gutenberg™, facilitating the efforts of volunteers and the overall project.""Donations represent the financial support provided to the Project Gutenberg Literary Archive Foundation, essential for carrying out its mission."', 'source_id': 'chunk-c51b3dc560b408cce12cdfe5c9c94f57chunk-85f77f5e3a9aba01133555a2d20e2fd8'} +2024-10-29 13:35:04,994 - lightrag - INFO - _do_upsert:query: + MERGE (n:`COPYRIGHT RESEARCH`) + SET n += $properties + RETURN n + :result:{'entity_type': '"EVENT"', 'description': '"Copyright research refers to the process undertaken by Project Gutenberg™ volunteers to ensure that works are not protected by U.S. copyright law before distribution."', 'source_id': 'chunk-c51b3dc560b408cce12cdfe5c9c94f57'} +2024-10-29 13:35:05,266 - lightrag - INFO - _do_upsert:query: + MERGE (n:`LEGAL FEES`) + SET n += $properties + RETURN n + :result:{'entity_type': '"CONCEPT"', 'description': '"Legal fees refer to costs associated with legal actions or advice that may arise in the context of using or distributing Project Gutenberg™ works."', 'source_id': 'chunk-c51b3dc560b408cce12cdfe5c9c94f57'} +2024-10-29 13:35:05,536 - lightrag - INFO - _do_upsert:query: + MERGE (n:`MICHAEL S. HART`) + SET n += $properties + RETURN n + :result:{'entity_type': '"PERSON"', 'description': '"Michael S. Hart is the founder of Project Gutenberg, known for creating a library of electronic works that can be freely shared, playing a significant role in the development of eBooks."', 'source_id': 'chunk-85f77f5e3a9aba01133555a2d20e2fd8'} +2024-10-29 13:35:05,801 - lightrag - INFO - _do_upsert:query: + MERGE (n:`EBOOKS`) + SET n += $properties + RETURN n + :result:{'entity_type': '"EVENT"', 'description': '"eBooks refer to the electronic books produced and distributed by Project Gutenberg, often created from printed editions confirmed as not protected by copyright."', 'source_id': 'chunk-85f77f5e3a9aba01133555a2d20e2fd8'} +2024-10-29 13:35:06,073 - lightrag - INFO - _do_upsert:query: + MERGE (n:`INTERNAL REVENUE SERVICE`) + SET n += $properties + RETURN n + :result:{'entity_type': '"ORGANIZATION"', 'description': '"The Internal Revenue Service (IRS) is the U.S. government agency responsible for tax collection and tax law enforcement, granting tax-exempt status to organizations like the Project Gutenberg Literary Archive Foundation."', 'source_id': 'chunk-85f77f5e3a9aba01133555a2d20e2fd8'} +2024-10-29 13:35:06,348 - lightrag - INFO - _do_upsert:query: + MERGE (n:`CONTRIBUTIONS`) + SET n += $properties + RETURN n + :result:{'entity_type': '"EVENT"', 'description': '"Contributions refer to the donations made to the Project Gutenberg Literary Archive Foundation, vital for its operational funding and tax-exempt status."', 'source_id': 'chunk-85f77f5e3a9aba01133555a2d20e2fd8'} +2024-10-29 13:35:06,620 - lightrag - INFO - _do_upsert:query: + MERGE (n:`U.S. FEDERAL LAWS`) + SET n += $properties + RETURN n + :result:{'entity_type': '"CONCEPT"', 'description': '"U.S. federal laws set the framework and conditions under which non-profit organizations like the Project Gutenberg Literary Archive Foundation operate and maintain tax-exempt status."', 'source_id': 'chunk-85f77f5e3a9aba01133555a2d20e2fd8'} +2024-10-29 13:35:06,899 - lightrag - INFO - _do_upsert:query: + MERGE (n:`WEBSITE`) + SET n += $properties + RETURN n + :result:{'entity_type': '"CONCEPT"', 'description': '"The Project Gutenberg website serves as the central platform for accessing eBooks, making donations, and providing information about the Foundation."', 'source_id': 'chunk-85f77f5e3a9aba01133555a2d20e2fd8'} +2024-10-29 13:35:11,419 - lightrag - INFO - _do_upsert:query: + MERGE (n:`SCROOGE`) + SET n += $properties + RETURN n + :result:{'entity_type': '"PERSON"', 'description': "Scrooge is a central character known for his miserly disposition, cold-hearted nature, and disdain for Christmas. He initially embodies greed, focusing solely on business and exhibiting a lack of compassion for others. Throughout the story, Scrooge undergoes a profound transformation as he reflects on his life and the impact of his past decisions, particularly through the visits of spirits, including the ghost of his former partner, Jacob Marley.\n\nScrooge is depicted as a solitary figure who experiences a journey of self-discovery and redemption. He grapples with feelings of horror and remorse as he witnesses events related to the deceased and contemplates his own mortality, illustrating his internal struggle. His reflections often lead him to recall his lonely childhood and the mistakes that have shaped his pessimistic worldview.\n\nThe encounters with the spirits guide Scrooge through different scenes, revealing both joy and hardship during the Christmas season. These transformative experiences prompt him to reconsider his relationships, especially in relation to the Cratchit family and Tiny Tim, evoking deep emotions such as grief, regret, and longing for connection. Scrooge's character evolves from a skeptical, apathetic man to someone who embraces generosity, compassion, and a desire to make amends.\n\nBy the end of the narrative, Scrooge's transformation is marked by a newfound joy and determination, as he seeks to contribute positively to the lives of those around him, ultimately reshaping his previous views on Christmas and community.", 'source_id': 'chunk-bb21d58d36c6306fd8810ddd51c4a971chunk-b2f98bc7abb0c67d4c86055c7fd72218chunk-91614df5cb74cbe5e109a338a82041e9chunk-8f738cb25d60a7dab782162d9d0a25edchunk-e7637ff18c5ded77a68cce0a87883fadchunk-d9aac3484185ac66045df92214d245d5chunk-90b95db5c53e4364a6bee36b7aa4d70fchunk-89777b838d5447c7bd1ec11282c4ee89chunk-c6c248858d1b13ab7ee9ca13c1aeed6bchunk-5dac41b3f9eeaf794f0147400b1718cdchunk-773d0df1dd25c356f7b771d780583e09chunk-843b5b2f944c7413d9ca876e2e2f151fchunk-f1a4fbcf1ed86864b9bfd5e8dba4c683chunk-359187e7571bda4b0b08b2e0b6581e52chunk-503f0bfa5453467c7c61d160a3540ecachunk-9c43dac2fcd5b578242d907ea6f8fc7bchunk-b0f459f5af1c3a5e0b92cbe4ee48b77bchunk-1aa50206d02ed89418f65f97c6441d1cchunk-54bdd22db1f84a965b5f4c06c9216d8dchunk-cb661c37436355ccec2769b1d0350c5fchunk-90d5764e301321c087f5a8f78b73a145chunk-91572b3cd42786ba4cb2f180ca25cbf4chunk-da2472b4ef2a535b62908f14d0fb0ca9chunk-99b0ec7f7e006561352b5d65e849611dchunk-43c9bee23adfa77aa9dedd22401bba7dchunk-83ac129dc9b56f84c46760d153d68e93chunk-e1f29eeadc1d8ab46dc8a0bbd3c56b64chunk-8590d9263cd2cd4fa583c432fc54e6c3chunk-02baee20cc9463dbe08170a8e1043e32chunk-94bea83e7153fc2064aa382b494936a1chunk-74e2466de2f67fd710ef2f20c0a8d9e0chunk-19d72c57ae3408758b18d2568e86dc6b'} +2024-10-29 13:35:11,616 - lightrag - INFO - _check_edge_existence:query:MATCH (a:`A CHRISTMAS CAROL`)-[r]-(b:`PROJECT GUTENBERG`) RETURN COUNT(r) > 0 AS edgeExists:result:False +2024-10-29 13:35:11,798 - lightrag - INFO - _check_node_exists:query:MATCH (n:`A CHRISTMAS CAROL`) RETURN count(n) > 0 AS node_exists:result:True +2024-10-29 13:35:11,973 - lightrag - INFO - _check_node_exists:query:MATCH (n:`PROJECT GUTENBERG`) RETURN count(n) > 0 AS node_exists:result:True +2024-10-29 13:35:12,166 - lightrag - INFO - _do_upsert_edge:query: + MATCH (source:`A CHRISTMAS CAROL`) + WITH source + MATCH (target:`PROJECT GUTENBERG`) + MERGE (source)-[r:DIRECTED]->(target) + SET r += $properties + RETURN r + :result:None +2024-10-29 13:35:12,353 - lightrag - INFO - _check_edge_existence:query:MATCH (a:`A CHRISTMAS CAROL`)-[r]-(b:`CHARLES DICKENS`) RETURN COUNT(r) > 0 AS edgeExists:result:False +2024-10-29 13:35:12,529 - lightrag - INFO - _check_node_exists:query:MATCH (n:`A CHRISTMAS CAROL`) RETURN count(n) > 0 AS node_exists:result:True +2024-10-29 13:35:12,695 - lightrag - INFO - _check_node_exists:query:MATCH (n:`CHARLES DICKENS`) RETURN count(n) > 0 AS node_exists:result:True +2024-10-29 13:35:12,889 - lightrag - INFO - _do_upsert_edge:query: + MATCH (source:`A CHRISTMAS CAROL`) + WITH source + MATCH (target:`CHARLES DICKENS`) + MERGE (source)-[r:DIRECTED]->(target) + SET r += $properties + RETURN r + :result:None +2024-10-29 13:35:13,096 - lightrag - INFO - _check_edge_existence:query:MATCH (a:`A CHRISTMAS CAROL`)-[r]-(b:`ARTHUR RACKHAM`) RETURN COUNT(r) > 0 AS edgeExists:result:False +2024-10-29 13:35:13,259 - lightrag - INFO - _check_node_exists:query:MATCH (n:`A CHRISTMAS CAROL`) RETURN count(n) > 0 AS node_exists:result:True +2024-10-29 13:35:13,441 - lightrag - INFO - _check_node_exists:query:MATCH (n:`ARTHUR RACKHAM`) RETURN count(n) > 0 AS node_exists:result:True +2024-10-29 13:35:13,632 - lightrag - INFO - _do_upsert_edge:query: + MATCH (source:`A CHRISTMAS CAROL`) + WITH source + MATCH (target:`ARTHUR RACKHAM`) + MERGE (source)-[r:DIRECTED]->(target) + SET r += $properties + RETURN r + :result:None +2024-10-29 13:35:13,820 - lightrag - INFO - _check_edge_existence:query:MATCH (a:`EBENEZER SCROOGE`)-[r]-(b:`TINY TIM`) RETURN COUNT(r) > 0 AS edgeExists:result:False +2024-10-29 13:35:13,995 - lightrag - INFO - _check_node_exists:query:MATCH (n:`EBENEZER SCROOGE`) RETURN count(n) > 0 AS node_exists:result:True +2024-10-29 13:35:14,165 - lightrag - INFO - _check_node_exists:query:MATCH (n:`TINY TIM`) RETURN count(n) > 0 AS node_exists:result:True +2024-10-29 13:35:14,359 - lightrag - INFO - _do_upsert_edge:query: + MATCH (source:`EBENEZER SCROOGE`) + WITH source + MATCH (target:`TINY TIM`) + MERGE (source)-[r:DIRECTED]->(target) + SET r += $properties + RETURN r + :result:None +2024-10-29 13:35:14,553 - lightrag - INFO - _check_edge_existence:query:MATCH (a:`BOB CRATCHIT`)-[r]-(b:`EBENEZER SCROOGE`) RETURN COUNT(r) > 0 AS edgeExists:result:False +2024-10-29 13:35:14,726 - lightrag - INFO - _check_node_exists:query:MATCH (n:`BOB CRATCHIT`) RETURN count(n) > 0 AS node_exists:result:True +2024-10-29 13:35:14,896 - lightrag - INFO - _check_node_exists:query:MATCH (n:`EBENEZER SCROOGE`) RETURN count(n) > 0 AS node_exists:result:True +2024-10-29 13:35:15,091 - lightrag - INFO - _do_upsert_edge:query: + MATCH (source:`BOB CRATCHIT`) + WITH source + MATCH (target:`EBENEZER SCROOGE`) + MERGE (source)-[r:DIRECTED]->(target) + SET r += $properties + RETURN r + :result:None +2024-10-29 13:35:15,279 - lightrag - INFO - _check_edge_existence:query:MATCH (a:`EBENEZER SCROOGE`)-[r]-(b:`GHOST OF CHRISTMAS PAST`) RETURN COUNT(r) > 0 AS edgeExists:result:False +2024-10-29 13:35:15,448 - lightrag - INFO - _check_node_exists:query:MATCH (n:`EBENEZER SCROOGE`) RETURN count(n) > 0 AS node_exists:result:True +2024-10-29 13:35:15,621 - lightrag - INFO - _check_node_exists:query:MATCH (n:`GHOST OF CHRISTMAS PAST`) RETURN count(n) > 0 AS node_exists:result:True +2024-10-29 13:35:15,804 - lightrag - INFO - _do_upsert_edge:query: + MATCH (source:`EBENEZER SCROOGE`) + WITH source + MATCH (target:`GHOST OF CHRISTMAS PAST`) + MERGE (source)-[r:DIRECTED]->(target) + SET r += $properties + RETURN r + :result:None +2024-10-29 13:35:15,996 - lightrag - INFO - _check_edge_existence:query:MATCH (a:`EBENEZER SCROOGE`)-[r]-(b:`GHOST OF CHRISTMAS PRESENT`) RETURN COUNT(r) > 0 AS edgeExists:result:False +2024-10-29 13:35:16,161 - lightrag - INFO - _check_node_exists:query:MATCH (n:`EBENEZER SCROOGE`) RETURN count(n) > 0 AS node_exists:result:True +2024-10-29 13:35:16,334 - lightrag - INFO - _check_node_exists:query:MATCH (n:`GHOST OF CHRISTMAS PRESENT`) RETURN count(n) > 0 AS node_exists:result:True +2024-10-29 13:35:16,522 - lightrag - INFO - _do_upsert_edge:query: + MATCH (source:`EBENEZER SCROOGE`) + WITH source + MATCH (target:`GHOST OF CHRISTMAS PRESENT`) + MERGE (source)-[r:DIRECTED]->(target) + SET r += $properties + RETURN r + :result:None +2024-10-29 13:35:16,705 - lightrag - INFO - _check_edge_existence:query:MATCH (a:`EBENEZER SCROOGE`)-[r]-(b:`GHOST OF CHRISTMAS YET TO COME`) RETURN COUNT(r) > 0 AS edgeExists:result:False +2024-10-29 13:35:16,868 - lightrag - INFO - _check_node_exists:query:MATCH (n:`EBENEZER SCROOGE`) RETURN count(n) > 0 AS node_exists:result:True +2024-10-29 13:35:17,042 - lightrag - INFO - _check_node_exists:query:MATCH (n:`GHOST OF CHRISTMAS YET TO COME`) RETURN count(n) > 0 AS node_exists:result:True +2024-10-29 13:35:17,239 - lightrag - INFO - _do_upsert_edge:query: + MATCH (source:`EBENEZER SCROOGE`) + WITH source + MATCH (target:`GHOST OF CHRISTMAS YET TO COME`) + MERGE (source)-[r:DIRECTED]->(target) + SET r += $properties + RETURN r + :result:None +2024-10-29 13:35:17,429 - lightrag - INFO - _check_edge_existence:query:MATCH (a:`FEZZIWIG`)-[r]-(b:`MRS. FEZZIWIG`) RETURN COUNT(r) > 0 AS edgeExists:result:False +2024-10-29 13:35:17,603 - lightrag - INFO - _check_node_exists:query:MATCH (n:`FEZZIWIG`) RETURN count(n) > 0 AS node_exists:result:True +2024-10-29 13:35:17,771 - lightrag - INFO - _check_node_exists:query:MATCH (n:`MRS. FEZZIWIG`) RETURN count(n) > 0 AS node_exists:result:True +2024-10-29 13:35:17,957 - lightrag - INFO - _do_upsert_edge:query: + MATCH (source:`FEZZIWIG`) + WITH source + MATCH (target:`MRS. FEZZIWIG`) + MERGE (source)-[r:DIRECTED]->(target) + SET r += $properties + RETURN r + :result:None +2024-10-29 13:35:18,146 - lightrag - INFO - _check_edge_existence:query:MATCH (a:`MARLEY`)-[r]-(b:`SCROOGE`) RETURN COUNT(r) > 0 AS edgeExists:result:False +2024-10-29 13:35:18,323 - lightrag - INFO - _check_node_exists:query:MATCH (n:`MARLEY`) RETURN count(n) > 0 AS node_exists:result:True +2024-10-29 13:35:18,498 - lightrag - INFO - _check_node_exists:query:MATCH (n:`SCROOGE`) RETURN count(n) > 0 AS node_exists:result:True +2024-10-29 13:35:18,686 - lightrag - INFO - _do_upsert_edge:query: + MATCH (source:`MARLEY`) + WITH source + MATCH (target:`SCROOGE`) + MERGE (source)-[r:DIRECTED]->(target) + SET r += $properties + RETURN r + :result:None +2024-10-29 13:35:18,867 - lightrag - INFO - _check_edge_existence:query:MATCH (a:`CHRISTMAS`)-[r]-(b:`SCROOGE`) RETURN COUNT(r) > 0 AS edgeExists:result:False +2024-10-29 13:35:19,040 - lightrag - INFO - _check_node_exists:query:MATCH (n:`CHRISTMAS`) RETURN count(n) > 0 AS node_exists:result:True +2024-10-29 13:35:19,218 - lightrag - INFO - _check_node_exists:query:MATCH (n:`SCROOGE`) RETURN count(n) > 0 AS node_exists:result:True +2024-10-29 13:35:19,414 - lightrag - INFO - _do_upsert_edge:query: + MATCH (source:`CHRISTMAS`) + WITH source + MATCH (target:`SCROOGE`) + MERGE (source)-[r:DIRECTED]->(target) + SET r += $properties + RETURN r + :result:None +2024-10-29 13:35:19,608 - lightrag - INFO - _check_edge_existence:query:MATCH (a:`JOE`)-[r]-(b:`THE WOMAN`) RETURN COUNT(r) > 0 AS edgeExists:result:False +2024-10-29 13:35:19,778 - lightrag - INFO - _check_node_exists:query:MATCH (n:`JOE`) RETURN count(n) > 0 AS node_exists:result:True +2024-10-29 13:35:19,958 - lightrag - INFO - _check_node_exists:query:MATCH (n:`THE WOMAN`) RETURN count(n) > 0 AS node_exists:result:True +2024-10-29 13:35:20,147 - lightrag - INFO - _do_upsert_edge:query: + MATCH (source:`JOE`) + WITH source + MATCH (target:`THE WOMAN`) + MERGE (source)-[r:DIRECTED]->(target) + SET r += $properties + RETURN r + :result:None +2024-10-29 13:35:20,334 - lightrag - INFO - _check_edge_existence:query:MATCH (a:`FRED`)-[r]-(b:`SCROOGE`) RETURN COUNT(r) > 0 AS edgeExists:result:False +2024-10-29 13:35:20,512 - lightrag - INFO - _check_node_exists:query:MATCH (n:`FRED`) RETURN count(n) > 0 AS node_exists:result:True +2024-10-29 13:35:20,680 - lightrag - INFO - _check_node_exists:query:MATCH (n:`SCROOGE`) RETURN count(n) > 0 AS node_exists:result:True +2024-10-29 13:35:20,874 - lightrag - INFO - _do_upsert_edge:query: + MATCH (source:`FRED`) + WITH source + MATCH (target:`SCROOGE`) + MERGE (source)-[r:DIRECTED]->(target) + SET r += $properties + RETURN r + :result:None +2024-10-29 13:35:21,065 - lightrag - INFO - _check_edge_existence:query:MATCH (a:`SCROOGE`)-[r]-(b:`THE REGISTER`) RETURN COUNT(r) > 0 AS edgeExists:result:False +2024-10-29 13:35:21,230 - lightrag - INFO - _check_node_exists:query:MATCH (n:`SCROOGE`) RETURN count(n) > 0 AS node_exists:result:True +2024-10-29 13:35:21,412 - lightrag - INFO - _check_node_exists:query:MATCH (n:`THE REGISTER`) RETURN count(n) > 0 AS node_exists:result:True +2024-10-29 13:35:21,604 - lightrag - INFO - _do_upsert_edge:query: + MATCH (source:`SCROOGE`) + WITH source + MATCH (target:`THE REGISTER`) + MERGE (source)-[r:DIRECTED]->(target) + SET r += $properties + RETURN r + :result:None +2024-10-29 13:35:21,788 - lightrag - INFO - _check_edge_existence:query:MATCH (a:`SCROOGE`)-[r]-(b:`THE FUNERAL`) RETURN COUNT(r) > 0 AS edgeExists:result:False +2024-10-29 13:35:21,951 - lightrag - INFO - _check_node_exists:query:MATCH (n:`SCROOGE`) RETURN count(n) > 0 AS node_exists:result:True +2024-10-29 13:35:22,128 - lightrag - INFO - _check_node_exists:query:MATCH (n:`THE FUNERAL`) RETURN count(n) > 0 AS node_exists:result:True +2024-10-29 13:35:22,315 - lightrag - INFO - _do_upsert_edge:query: + MATCH (source:`SCROOGE`) + WITH source + MATCH (target:`THE FUNERAL`) + MERGE (source)-[r:DIRECTED]->(target) + SET r += $properties + RETURN r + :result:None +2024-10-29 13:35:22,500 - lightrag - INFO - _check_edge_existence:query:MATCH (a:`SCROOGE`)-[r]-(b:`SCROOGE'S NEPHEW`) RETURN COUNT(r) > 0 AS edgeExists:result:False +2024-10-29 13:35:22,666 - lightrag - INFO - _check_node_exists:query:MATCH (n:`SCROOGE`) RETURN count(n) > 0 AS node_exists:result:True +2024-10-29 13:35:22,839 - lightrag - INFO - _check_node_exists:query:MATCH (n:`SCROOGE'S NEPHEW`) RETURN count(n) > 0 AS node_exists:result:True +2024-10-29 13:35:23,024 - lightrag - INFO - _do_upsert_edge:query: + MATCH (source:`SCROOGE`) + WITH source + MATCH (target:`SCROOGE'S NEPHEW`) + MERGE (source)-[r:DIRECTED]->(target) + SET r += $properties + RETURN r + :result:None +2024-10-29 13:35:23,211 - lightrag - INFO - _check_edge_existence:query:MATCH (a:`SCROOGE`)-[r]-(b:`THE COUNTING-HOUSE`) RETURN COUNT(r) > 0 AS edgeExists:result:False +2024-10-29 13:35:23,372 - lightrag - INFO - _check_node_exists:query:MATCH (n:`SCROOGE`) RETURN count(n) > 0 AS node_exists:result:True +2024-10-29 13:35:23,549 - lightrag - INFO - _check_node_exists:query:MATCH (n:`THE COUNTING-HOUSE`) RETURN count(n) > 0 AS node_exists:result:True +2024-10-29 13:35:23,734 - lightrag - INFO - _do_upsert_edge:query: + MATCH (source:`SCROOGE`) + WITH source + MATCH (target:`THE COUNTING-HOUSE`) + MERGE (source)-[r:DIRECTED]->(target) + SET r += $properties + RETURN r + :result:None +2024-10-29 13:35:23,917 - lightrag - INFO - _check_edge_existence:query:MATCH (a:`SCROOGE`)-[r]-(b:`THE CLERK`) RETURN COUNT(r) > 0 AS edgeExists:result:False +2024-10-29 13:35:24,078 - lightrag - INFO - _check_node_exists:query:MATCH (n:`SCROOGE`) RETURN count(n) > 0 AS node_exists:result:True +2024-10-29 13:35:24,253 - lightrag - INFO - _check_node_exists:query:MATCH (n:`THE CLERK`) RETURN count(n) > 0 AS node_exists:result:True +2024-10-29 13:35:24,438 - lightrag - INFO - _do_upsert_edge:query: + MATCH (source:`SCROOGE`) + WITH source + MATCH (target:`THE CLERK`) + MERGE (source)-[r:DIRECTED]->(target) + SET r += $properties + RETURN r + :result:None +2024-10-29 13:35:24,626 - lightrag - INFO - _check_edge_existence:query:MATCH (a:`SCROOGE`)-[r]-(b:`THE COLD`) RETURN COUNT(r) > 0 AS edgeExists:result:False +2024-10-29 13:35:24,791 - lightrag - INFO - _check_node_exists:query:MATCH (n:`SCROOGE`) RETURN count(n) > 0 AS node_exists:result:True +2024-10-29 13:35:24,969 - lightrag - INFO - _check_node_exists:query:MATCH (n:`THE COLD`) RETURN count(n) > 0 AS node_exists:result:True +2024-10-29 13:35:25,156 - lightrag - INFO - _do_upsert_edge:query: + MATCH (source:`SCROOGE`) + WITH source + MATCH (target:`THE COLD`) + MERGE (source)-[r:DIRECTED]->(target) + SET r += $properties + RETURN r + :result:None +2024-10-29 13:35:25,348 - lightrag - INFO - _check_edge_existence:query:MATCH (a:`FOG`)-[r]-(b:`THE CITY`) RETURN COUNT(r) > 0 AS edgeExists:result:False +2024-10-29 13:35:25,521 - lightrag - INFO - _check_node_exists:query:MATCH (n:`FOG`) RETURN count(n) > 0 AS node_exists:result:True +2024-10-29 13:35:25,698 - lightrag - INFO - _check_node_exists:query:MATCH (n:`THE CITY`) RETURN count(n) > 0 AS node_exists:result:True +2024-10-29 13:35:25,888 - lightrag - INFO - _do_upsert_edge:query: + MATCH (source:`FOG`) + WITH source + MATCH (target:`THE CITY`) + MERGE (source)-[r:DIRECTED]->(target) + SET r += $properties + RETURN r + :result:None +2024-10-29 13:35:26,076 - lightrag - INFO - _check_edge_existence:query:MATCH (a:`CHRISTMAS EVE`)-[r]-(b:`CHRISTMAS`) RETURN COUNT(r) > 0 AS edgeExists:result:False +2024-10-29 13:35:26,250 - lightrag - INFO - _check_node_exists:query:MATCH (n:`CHRISTMAS EVE`) RETURN count(n) > 0 AS node_exists:result:True +2024-10-29 13:35:26,431 - lightrag - INFO - _check_node_exists:query:MATCH (n:`CHRISTMAS`) RETURN count(n) > 0 AS node_exists:result:True +2024-10-29 13:35:26,616 - lightrag - INFO - _do_upsert_edge:query: + MATCH (source:`CHRISTMAS EVE`) + WITH source + MATCH (target:`CHRISTMAS`) + MERGE (source)-[r:DIRECTED]->(target) + SET r += $properties + RETURN r + :result:None +2024-10-29 13:35:26,803 - lightrag - INFO - _check_edge_existence:query:MATCH (a:`MR. MARLEY`)-[r]-(b:`SCROOGE`) RETURN COUNT(r) > 0 AS edgeExists:result:False +2024-10-29 13:35:26,979 - lightrag - INFO - _check_node_exists:query:MATCH (n:`MR. MARLEY`) RETURN count(n) > 0 AS node_exists:result:True +2024-10-29 13:35:27,140 - lightrag - INFO - _check_node_exists:query:MATCH (n:`SCROOGE`) RETURN count(n) > 0 AS node_exists:result:True +2024-10-29 13:35:27,327 - lightrag - INFO - _do_upsert_edge:query: + MATCH (source:`MR. MARLEY`) + WITH source + MATCH (target:`SCROOGE`) + MERGE (source)-[r:DIRECTED]->(target) + SET r += $properties + RETURN r + :result:None +2024-10-29 13:35:27,513 - lightrag - INFO - _check_edge_existence:query:MATCH (a:`CHRISTMAS`)-[r]-(b:`SCROOGE'S NEPHEW`) RETURN COUNT(r) > 0 AS edgeExists:result:False +2024-10-29 13:35:27,683 - lightrag - INFO - _check_node_exists:query:MATCH (n:`CHRISTMAS`) RETURN count(n) > 0 AS node_exists:result:True +2024-10-29 13:35:27,852 - lightrag - INFO - _check_node_exists:query:MATCH (n:`SCROOGE'S NEPHEW`) RETURN count(n) > 0 AS node_exists:result:True +2024-10-29 13:35:28,035 - lightrag - INFO - _do_upsert_edge:query: + MATCH (source:`CHRISTMAS`) + WITH source + MATCH (target:`SCROOGE'S NEPHEW`) + MERGE (source)-[r:DIRECTED]->(target) + SET r += $properties + RETURN r + :result:None +2024-10-29 13:35:28,219 - lightrag - INFO - _check_edge_existence:query:MATCH (a:`LIBERTY`)-[r]-(b:`MR. MARLEY`) RETURN COUNT(r) > 0 AS edgeExists:result:False +2024-10-29 13:35:28,391 - lightrag - INFO - _check_node_exists:query:MATCH (n:`LIBERTY`) RETURN count(n) > 0 AS node_exists:result:True +2024-10-29 13:35:28,571 - lightrag - INFO - _check_node_exists:query:MATCH (n:`MR. MARLEY`) RETURN count(n) > 0 AS node_exists:result:True +2024-10-29 13:35:28,758 - lightrag - INFO - _do_upsert_edge:query: + MATCH (source:`LIBERTY`) + WITH source + MATCH (target:`MR. MARLEY`) + MERGE (source)-[r:DIRECTED]->(target) + SET r += $properties + RETURN r + :result:None +2024-10-29 13:35:28,946 - lightrag - INFO - _check_edge_existence:query:MATCH (a:`PORTLY GENTLEMEN`)-[r]-(b:`SCROOGE`) RETURN COUNT(r) > 0 AS edgeExists:result:False +2024-10-29 13:35:29,123 - lightrag - INFO - _check_node_exists:query:MATCH (n:`PORTLY GENTLEMEN`) RETURN count(n) > 0 AS node_exists:result:True +2024-10-29 13:35:29,289 - lightrag - INFO - _check_node_exists:query:MATCH (n:`SCROOGE`) RETURN count(n) > 0 AS node_exists:result:True +2024-10-29 13:35:29,482 - lightrag - INFO - _do_upsert_edge:query: + MATCH (source:`PORTLY GENTLEMEN`) + WITH source + MATCH (target:`SCROOGE`) + MERGE (source)-[r:DIRECTED]->(target) + SET r += $properties + RETURN r + :result:None +2024-10-29 13:35:29,674 - lightrag - INFO - _check_edge_existence:query:MATCH (a:`CREDENTIALS`)-[r]-(b:`PORTLY GENTLEMEN`) RETURN COUNT(r) > 0 AS edgeExists:result:False +2024-10-29 13:35:29,849 - lightrag - INFO - _check_node_exists:query:MATCH (n:`CREDENTIALS`) RETURN count(n) > 0 AS node_exists:result:True +2024-10-29 13:35:30,022 - lightrag - INFO - _check_node_exists:query:MATCH (n:`PORTLY GENTLEMEN`) RETURN count(n) > 0 AS node_exists:result:True +2024-10-29 13:35:30,212 - lightrag - INFO - _do_upsert_edge:query: + MATCH (source:`CREDENTIALS`) + WITH source + MATCH (target:`PORTLY GENTLEMEN`) + MERGE (source)-[r:DIRECTED]->(target) + SET r += $properties + RETURN r + :result:None +2024-10-29 13:35:30,407 - lightrag - INFO - _check_edge_existence:query:MATCH (a:`CHRISTMAS-TIME`)-[r]-(b:`SCROOGE`) RETURN COUNT(r) > 0 AS edgeExists:result:False +2024-10-29 13:35:30,588 - lightrag - INFO - _check_node_exists:query:MATCH (n:`CHRISTMAS-TIME`) RETURN count(n) > 0 AS node_exists:result:True +2024-10-29 13:35:30,766 - lightrag - INFO - _check_node_exists:query:MATCH (n:`SCROOGE`) RETURN count(n) > 0 AS node_exists:result:True +2024-10-29 13:35:30,954 - lightrag - INFO - _do_upsert_edge:query: + MATCH (source:`CHRISTMAS-TIME`) + WITH source + MATCH (target:`SCROOGE`) + MERGE (source)-[r:DIRECTED]->(target) + SET r += $properties + RETURN r + :result:None +2024-10-29 13:35:31,143 - lightrag - INFO - _check_edge_existence:query:MATCH (a:`BEDLAM`)-[r]-(b:`SCROOGE'S NEPHEW`) RETURN COUNT(r) > 0 AS edgeExists:result:False +2024-10-29 13:35:31,319 - lightrag - INFO - _check_node_exists:query:MATCH (n:`BEDLAM`) RETURN count(n) > 0 AS node_exists:result:True +2024-10-29 13:35:31,489 - lightrag - INFO - _check_node_exists:query:MATCH (n:`SCROOGE'S NEPHEW`) RETURN count(n) > 0 AS node_exists:result:True +2024-10-29 13:35:31,675 - lightrag - INFO - _do_upsert_edge:query: + MATCH (source:`BEDLAM`) + WITH source + MATCH (target:`SCROOGE'S NEPHEW`) + MERGE (source)-[r:DIRECTED]->(target) + SET r += $properties + RETURN r + :result:None +2024-10-29 13:35:31,877 - lightrag - INFO - _check_edge_existence:query:MATCH (a:`SCROOGE`)-[r]-(b:`THE GENTLEMAN`) RETURN COUNT(r) > 0 AS edgeExists:result:False +2024-10-29 13:35:32,040 - lightrag - INFO - _check_node_exists:query:MATCH (n:`SCROOGE`) RETURN count(n) > 0 AS node_exists:result:True +2024-10-29 13:35:32,210 - lightrag - INFO - _check_node_exists:query:MATCH (n:`THE GENTLEMAN`) RETURN count(n) > 0 AS node_exists:result:True +2024-10-29 13:35:32,398 - lightrag - INFO - _do_upsert_edge:query: + MATCH (source:`SCROOGE`) + WITH source + MATCH (target:`THE GENTLEMAN`) + MERGE (source)-[r:DIRECTED]->(target) + SET r += $properties + RETURN r + :result:None +2024-10-29 13:35:32,585 - lightrag - INFO - _check_edge_existence:query:MATCH (a:`THE GENTLEMAN`)-[r]-(b:`THE UNION WORKHOUSES`) RETURN COUNT(r) > 0 AS edgeExists:result:False +2024-10-29 13:35:32,767 - lightrag - INFO - _check_node_exists:query:MATCH (n:`THE GENTLEMAN`) RETURN count(n) > 0 AS node_exists:result:True +2024-10-29 13:35:32,943 - lightrag - INFO - _check_node_exists:query:MATCH (n:`THE UNION WORKHOUSES`) RETURN count(n) > 0 AS node_exists:result:True +2024-10-29 13:35:33,127 - lightrag - INFO - _do_upsert_edge:query: + MATCH (source:`THE GENTLEMAN`) + WITH source + MATCH (target:`THE UNION WORKHOUSES`) + MERGE (source)-[r:DIRECTED]->(target) + SET r += $properties + RETURN r + :result:None +2024-10-29 13:35:33,317 - lightrag - INFO - _check_edge_existence:query:MATCH (a:`THE TREADMILL`)-[r]-(b:`THE UNION WORKHOUSES`) RETURN COUNT(r) > 0 AS edgeExists:result:False +2024-10-29 13:35:33,490 - lightrag - INFO - _check_node_exists:query:MATCH (n:`THE TREADMILL`) RETURN count(n) > 0 AS node_exists:result:True +2024-10-29 13:35:33,663 - lightrag - INFO - _check_node_exists:query:MATCH (n:`THE UNION WORKHOUSES`) RETURN count(n) > 0 AS node_exists:result:True +2024-10-29 13:35:33,853 - lightrag - INFO - _do_upsert_edge:query: + MATCH (source:`THE TREADMILL`) + WITH source + MATCH (target:`THE UNION WORKHOUSES`) + MERGE (source)-[r:DIRECTED]->(target) + SET r += $properties + RETURN r + :result:None +2024-10-29 13:35:34,033 - lightrag - INFO - _check_edge_existence:query:MATCH (a:`CHRISTMAS`)-[r]-(b:`THE MANSION HOUSE`) RETURN COUNT(r) > 0 AS edgeExists:result:False +2024-10-29 13:35:34,201 - lightrag - INFO - _check_node_exists:query:MATCH (n:`CHRISTMAS`) RETURN count(n) > 0 AS node_exists:result:True +2024-10-29 13:35:34,379 - lightrag - INFO - _check_node_exists:query:MATCH (n:`THE MANSION HOUSE`) RETURN count(n) > 0 AS node_exists:result:True +2024-10-29 13:35:34,580 - lightrag - INFO - _do_upsert_edge:query: + MATCH (source:`CHRISTMAS`) + WITH source + MATCH (target:`THE MANSION HOUSE`) + MERGE (source)-[r:DIRECTED]->(target) + SET r += $properties + RETURN r + :result:None +2024-10-29 13:35:34,774 - lightrag - INFO - _check_edge_existence:query:MATCH (a:`SCROOGE`)-[r]-(b:`THE MAIN STREET`) RETURN COUNT(r) > 0 AS edgeExists:result:False +2024-10-29 13:35:34,943 - lightrag - INFO - _check_node_exists:query:MATCH (n:`SCROOGE`) RETURN count(n) > 0 AS node_exists:result:True +2024-10-29 13:35:35,122 - lightrag - INFO - _check_node_exists:query:MATCH (n:`THE MAIN STREET`) RETURN count(n) > 0 AS node_exists:result:True +2024-10-29 13:35:35,306 - lightrag - INFO - _do_upsert_edge:query: + MATCH (source:`SCROOGE`) + WITH source + MATCH (target:`THE MAIN STREET`) + MERGE (source)-[r:DIRECTED]->(target) + SET r += $properties + RETURN r + :result:None +2024-10-29 13:35:35,496 - lightrag - INFO - _check_edge_existence:query:MATCH (a:`BOB CRATCHIT`)-[r]-(b:`SCROOGE`) RETURN COUNT(r) > 0 AS edgeExists:result:False +2024-10-29 13:35:35,671 - lightrag - INFO - _check_node_exists:query:MATCH (n:`BOB CRATCHIT`) RETURN count(n) > 0 AS node_exists:result:True +2024-10-29 13:35:35,834 - lightrag - INFO - _check_node_exists:query:MATCH (n:`SCROOGE`) RETURN count(n) > 0 AS node_exists:result:True +2024-10-29 13:35:36,024 - lightrag - INFO - _do_upsert_edge:query: + MATCH (source:`BOB CRATCHIT`) + WITH source + MATCH (target:`SCROOGE`) + MERGE (source)-[r:DIRECTED]->(target) + SET r += $properties + RETURN r + :result:None +2024-10-29 13:35:36,207 - lightrag - INFO - _check_edge_existence:query:MATCH (a:`BOB CRATCHIT`)-[r]-(b:`CHRISTMAS EVE`) RETURN COUNT(r) > 0 AS edgeExists:result:False +2024-10-29 13:35:36,382 - lightrag - INFO - _check_node_exists:query:MATCH (n:`BOB CRATCHIT`) RETURN count(n) > 0 AS node_exists:result:True +2024-10-29 13:35:36,557 - lightrag - INFO - _check_node_exists:query:MATCH (n:`CHRISTMAS EVE`) RETURN count(n) > 0 AS node_exists:result:True +2024-10-29 13:35:36,742 - lightrag - INFO - _do_upsert_edge:query: + MATCH (source:`BOB CRATCHIT`) + WITH source + MATCH (target:`CHRISTMAS EVE`) + MERGE (source)-[r:DIRECTED]->(target) + SET r += $properties + RETURN r + :result:None +2024-10-29 13:35:36,931 - lightrag - INFO - _check_edge_existence:query:MATCH (a:`LONDON`)-[r]-(b:`SCROOGE`) RETURN COUNT(r) > 0 AS edgeExists:result:False +2024-10-29 13:35:37,106 - lightrag - INFO - _check_node_exists:query:MATCH (n:`LONDON`) RETURN count(n) > 0 AS node_exists:result:True +2024-10-29 13:35:37,266 - lightrag - INFO - _check_node_exists:query:MATCH (n:`SCROOGE`) RETURN count(n) > 0 AS node_exists:result:True +2024-10-29 13:35:37,448 - lightrag - INFO - _do_upsert_edge:query: + MATCH (source:`LONDON`) + WITH source + MATCH (target:`SCROOGE`) + MERGE (source)-[r:DIRECTED]->(target) + SET r += $properties + RETURN r + :result:None +2024-10-29 13:35:37,632 - lightrag - INFO - _check_edge_existence:query:MATCH (a:`CLERK`)-[r]-(b:`SCROOGE`) RETURN COUNT(r) > 0 AS edgeExists:result:False +2024-10-29 13:35:37,813 - lightrag - INFO - _check_node_exists:query:MATCH (n:`CLERK`) RETURN count(n) > 0 AS node_exists:result:True +2024-10-29 13:35:37,978 - lightrag - INFO - _check_node_exists:query:MATCH (n:`SCROOGE`) RETURN count(n) > 0 AS node_exists:result:True +2024-10-29 13:35:38,162 - lightrag - INFO - _do_upsert_edge:query: + MATCH (source:`CLERK`) + WITH source + MATCH (target:`SCROOGE`) + MERGE (source)-[r:DIRECTED]->(target) + SET r += $properties + RETURN r + :result:None +2024-10-29 13:35:38,343 - lightrag - INFO - _check_edge_existence:query:MATCH (a:`BOB CRATCHIT`)-[r]-(b:`THE COUNTING-HOUSE`) RETURN COUNT(r) > 0 AS edgeExists:result:False +2024-10-29 13:35:38,508 - lightrag - INFO - _check_node_exists:query:MATCH (n:`BOB CRATCHIT`) RETURN count(n) > 0 AS node_exists:result:True +2024-10-29 13:35:38,684 - lightrag - INFO - _check_node_exists:query:MATCH (n:`THE COUNTING-HOUSE`) RETURN count(n) > 0 AS node_exists:result:True +2024-10-29 13:35:38,878 - lightrag - INFO - _do_upsert_edge:query: + MATCH (source:`BOB CRATCHIT`) + WITH source + MATCH (target:`THE COUNTING-HOUSE`) + MERGE (source)-[r:DIRECTED]->(target) + SET r += $properties + RETURN r + :result:None +2024-10-29 13:35:39,064 - lightrag - INFO - _check_edge_existence:query:MATCH (a:`FOG`)-[r]-(b:`SCROOGE`) RETURN COUNT(r) > 0 AS edgeExists:result:False +2024-10-29 13:35:39,236 - lightrag - INFO - _check_node_exists:query:MATCH (n:`FOG`) RETURN count(n) > 0 AS node_exists:result:True +2024-10-29 13:35:39,401 - lightrag - INFO - _check_node_exists:query:MATCH (n:`SCROOGE`) RETURN count(n) > 0 AS node_exists:result:True +2024-10-29 13:35:39,586 - lightrag - INFO - _do_upsert_edge:query: + MATCH (source:`FOG`) + WITH source + MATCH (target:`SCROOGE`) + MERGE (source)-[r:DIRECTED]->(target) + SET r += $properties + RETURN r + :result:None +2024-10-29 13:35:39,774 - lightrag - INFO - _check_edge_existence:query:MATCH (a:`FROST`)-[r]-(b:`SCROOGE`) RETURN COUNT(r) > 0 AS edgeExists:result:False +2024-10-29 13:35:39,951 - lightrag - INFO - _check_node_exists:query:MATCH (n:`FROST`) RETURN count(n) > 0 AS node_exists:result:True +2024-10-29 13:35:40,115 - lightrag - INFO - _check_node_exists:query:MATCH (n:`SCROOGE`) RETURN count(n) > 0 AS node_exists:result:True +2024-10-29 13:35:40,301 - lightrag - INFO - _do_upsert_edge:query: + MATCH (source:`FROST`) + WITH source + MATCH (target:`SCROOGE`) + MERGE (source)-[r:DIRECTED]->(target) + SET r += $properties + RETURN r + :result:None +2024-10-29 13:35:40,485 - lightrag - INFO - _check_edge_existence:query:MATCH (a:`BOB CRATCHIT`)-[r]-(b:`CAMDEN TOWN`) RETURN COUNT(r) > 0 AS edgeExists:result:False +2024-10-29 13:35:40,648 - lightrag - INFO - _check_node_exists:query:MATCH (n:`BOB CRATCHIT`) RETURN count(n) > 0 AS node_exists:result:True +2024-10-29 13:35:40,827 - lightrag - INFO - _check_node_exists:query:MATCH (n:`CAMDEN TOWN`) RETURN count(n) > 0 AS node_exists:result:True +2024-10-29 13:35:41,022 - lightrag - INFO - _do_upsert_edge:query: + MATCH (source:`BOB CRATCHIT`) + WITH source + MATCH (target:`CAMDEN TOWN`) + MERGE (source)-[r:DIRECTED]->(target) + SET r += $properties + RETURN r + :result:None +2024-10-29 13:35:41,203 - lightrag - INFO - _check_edge_existence:query:MATCH (a:`SCROOGE`)-[r]-(b:`THE GHOST OF MARLEY`) RETURN COUNT(r) > 0 AS edgeExists:result:False +2024-10-29 13:35:41,360 - lightrag - INFO - _check_node_exists:query:MATCH (n:`SCROOGE`) RETURN count(n) > 0 AS node_exists:result:True +2024-10-29 13:35:41,527 - lightrag - INFO - _check_node_exists:query:MATCH (n:`THE GHOST OF MARLEY`) RETURN count(n) > 0 AS node_exists:result:True +2024-10-29 13:35:41,709 - lightrag - INFO - _do_upsert_edge:query: + MATCH (source:`SCROOGE`) + WITH source + MATCH (target:`THE GHOST OF MARLEY`) + MERGE (source)-[r:DIRECTED]->(target) + SET r += $properties + RETURN r + :result:None +2024-10-29 13:35:41,895 - lightrag - INFO - _check_edge_existence:query:MATCH (a:`SCROOGE`)-[r]-(b:`THE KNOCKER`) RETURN COUNT(r) > 0 AS edgeExists:result:False +2024-10-29 13:35:42,064 - lightrag - INFO - _check_node_exists:query:MATCH (n:`SCROOGE`) RETURN count(n) > 0 AS node_exists:result:True +2024-10-29 13:35:42,239 - lightrag - INFO - _check_node_exists:query:MATCH (n:`THE KNOCKER`) RETURN count(n) > 0 AS node_exists:result:True +2024-10-29 13:35:42,426 - lightrag - INFO - _do_upsert_edge:query: + MATCH (source:`SCROOGE`) + WITH source + MATCH (target:`THE KNOCKER`) + MERGE (source)-[r:DIRECTED]->(target) + SET r += $properties + RETURN r + :result:None +2024-10-29 13:35:42,611 - lightrag - INFO - _check_edge_existence:query:MATCH (a:`MARLEY'S GHOST`)-[r]-(b:`SCROOGE`) RETURN COUNT(r) > 0 AS edgeExists:result:False +2024-10-29 13:35:42,782 - lightrag - INFO - _check_node_exists:query:MATCH (n:`MARLEY'S GHOST`) RETURN count(n) > 0 AS node_exists:result:True +2024-10-29 13:35:42,946 - lightrag - INFO - _check_node_exists:query:MATCH (n:`SCROOGE`) RETURN count(n) > 0 AS node_exists:result:True +2024-10-29 13:35:43,132 - lightrag - INFO - _do_upsert_edge:query: + MATCH (source:`MARLEY'S GHOST`) + WITH source + MATCH (target:`SCROOGE`) + MERGE (source)-[r:DIRECTED]->(target) + SET r += $properties + RETURN r + :result:None +2024-10-29 13:35:43,311 - lightrag - INFO - _check_edge_existence:query:MATCH (a:`SCROOGE`)-[r]-(b:`THE HOUSE`) RETURN COUNT(r) > 0 AS edgeExists:result:False +2024-10-29 13:35:43,474 - lightrag - INFO - _check_node_exists:query:MATCH (n:`SCROOGE`) RETURN count(n) > 0 AS node_exists:result:True +2024-10-29 13:35:43,653 - lightrag - INFO - _check_node_exists:query:MATCH (n:`THE HOUSE`) RETURN count(n) > 0 AS node_exists:result:True +2024-10-29 13:35:43,842 - lightrag - INFO - _do_upsert_edge:query: + MATCH (source:`SCROOGE`) + WITH source + MATCH (target:`THE HOUSE`) + MERGE (source)-[r:DIRECTED]->(target) + SET r += $properties + RETURN r + :result:None +2024-10-29 13:35:44,029 - lightrag - INFO - _check_edge_existence:query:MATCH (a:`MARLEY`)-[r]-(b:`THE KNOCKER`) RETURN COUNT(r) > 0 AS edgeExists:result:False +2024-10-29 13:35:44,214 - lightrag - INFO - _check_node_exists:query:MATCH (n:`MARLEY`) RETURN count(n) > 0 AS node_exists:result:True +2024-10-29 13:35:44,389 - lightrag - INFO - _check_node_exists:query:MATCH (n:`THE KNOCKER`) RETURN count(n) > 0 AS node_exists:result:True +2024-10-29 13:35:44,567 - lightrag - INFO - _do_upsert_edge:query: + MATCH (source:`MARLEY`) + WITH source + MATCH (target:`THE KNOCKER`) + MERGE (source)-[r:DIRECTED]->(target) + SET r += $properties + RETURN r + :result:None +2024-10-29 13:35:44,751 - lightrag - INFO - _check_edge_existence:query:MATCH (a:`SCROOGE`)-[r]-(b:`THE BELL`) RETURN COUNT(r) > 0 AS edgeExists:result:False +2024-10-29 13:35:44,916 - lightrag - INFO - _check_node_exists:query:MATCH (n:`SCROOGE`) RETURN count(n) > 0 AS node_exists:result:True +2024-10-29 13:35:45,093 - lightrag - INFO - _check_node_exists:query:MATCH (n:`THE BELL`) RETURN count(n) > 0 AS node_exists:result:True +2024-10-29 13:35:45,276 - lightrag - INFO - _do_upsert_edge:query: + MATCH (source:`SCROOGE`) + WITH source + MATCH (target:`THE BELL`) + MERGE (source)-[r:DIRECTED]->(target) + SET r += $properties + RETURN r + :result:None +2024-10-29 13:35:45,458 - lightrag - INFO - _check_edge_existence:query:MATCH (a:`MARLEY'S GHOST`)-[r]-(b:`THE WINE-MERCHANT'S CELLAR`) RETURN COUNT(r) > 0 AS edgeExists:result:False +2024-10-29 13:35:45,631 - lightrag - INFO - _check_node_exists:query:MATCH (n:`MARLEY'S GHOST`) RETURN count(n) > 0 AS node_exists:result:True +2024-10-29 13:35:45,804 - lightrag - INFO - _check_node_exists:query:MATCH (n:`THE WINE-MERCHANT'S CELLAR`) RETURN count(n) > 0 AS node_exists:result:True +2024-10-29 13:35:45,991 - lightrag - INFO - _do_upsert_edge:query: + MATCH (source:`MARLEY'S GHOST`) + WITH source + MATCH (target:`THE WINE-MERCHANT'S CELLAR`) + MERGE (source)-[r:DIRECTED]->(target) + SET r += $properties + RETURN r + :result:None +2024-10-29 13:35:46,174 - lightrag - INFO - _check_edge_existence:query:MATCH (a:`SCROOGE`)-[r]-(b:`THE GRATE`) RETURN COUNT(r) > 0 AS edgeExists:result:False +2024-10-29 13:35:46,332 - lightrag - INFO - _check_node_exists:query:MATCH (n:`SCROOGE`) RETURN count(n) > 0 AS node_exists:result:True +2024-10-29 13:35:46,503 - lightrag - INFO - _check_node_exists:query:MATCH (n:`THE GRATE`) RETURN count(n) > 0 AS node_exists:result:True +2024-10-29 13:35:46,685 - lightrag - INFO - _do_upsert_edge:query: + MATCH (source:`SCROOGE`) + WITH source + MATCH (target:`THE GRATE`) + MERGE (source)-[r:DIRECTED]->(target) + SET r += $properties + RETURN r + :result:None +2024-10-29 13:35:46,874 - lightrag - INFO - _check_edge_existence:query:MATCH (a:`SCROOGE`)-[r]-(b:`THE DRESSING-GOWN`) RETURN COUNT(r) > 0 AS edgeExists:result:False +2024-10-29 13:35:47,040 - lightrag - INFO - _check_node_exists:query:MATCH (n:`SCROOGE`) RETURN count(n) > 0 AS node_exists:result:True +2024-10-29 13:35:47,218 - lightrag - INFO - _check_node_exists:query:MATCH (n:`THE DRESSING-GOWN`) RETURN count(n) > 0 AS node_exists:result:True +2024-10-29 13:35:47,402 - lightrag - INFO - _do_upsert_edge:query: + MATCH (source:`SCROOGE`) + WITH source + MATCH (target:`THE DRESSING-GOWN`) + MERGE (source)-[r:DIRECTED]->(target) + SET r += $properties + RETURN r + :result:None +2024-10-29 13:35:47,584 - lightrag - INFO - _check_edge_existence:query:MATCH (a:`DARKNESS`)-[r]-(b:`SCROOGE`) RETURN COUNT(r) > 0 AS edgeExists:result:False +2024-10-29 13:35:47,760 - lightrag - INFO - _check_node_exists:query:MATCH (n:`DARKNESS`) RETURN count(n) > 0 AS node_exists:result:True +2024-10-29 13:35:47,925 - lightrag - INFO - _check_node_exists:query:MATCH (n:`SCROOGE`) RETURN count(n) > 0 AS node_exists:result:True +2024-10-29 13:35:48,111 - lightrag - INFO - _do_upsert_edge:query: + MATCH (source:`DARKNESS`) + WITH source + MATCH (target:`SCROOGE`) + MERGE (source)-[r:DIRECTED]->(target) + SET r += $properties + RETURN r + :result:None +2024-10-29 13:35:48,297 - lightrag - INFO - _check_edge_existence:query:MATCH (a:`MARLEY'S GHOST`)-[r]-(b:`THE CANDLE`) RETURN COUNT(r) > 0 AS edgeExists:result:False +2024-10-29 13:35:48,457 - lightrag - INFO - _check_node_exists:query:MATCH (n:`MARLEY'S GHOST`) RETURN count(n) > 0 AS node_exists:result:True +2024-10-29 13:35:48,635 - lightrag - INFO - _check_node_exists:query:MATCH (n:`THE CANDLE`) RETURN count(n) > 0 AS node_exists:result:True +2024-10-29 13:35:48,825 - lightrag - INFO - _do_upsert_edge:query: + MATCH (source:`MARLEY'S GHOST`) + WITH source + MATCH (target:`THE CANDLE`) + MERGE (source)-[r:DIRECTED]->(target) + SET r += $properties + RETURN r + :result:None +2024-10-29 13:35:49,015 - lightrag - INFO - _check_edge_existence:query:MATCH (a:`SCROOGE`)-[r]-(b:`THE CASK`) RETURN COUNT(r) > 0 AS edgeExists:result:False +2024-10-29 13:35:49,182 - lightrag - INFO - _check_node_exists:query:MATCH (n:`SCROOGE`) RETURN count(n) > 0 AS node_exists:result:True +2024-10-29 13:35:49,352 - lightrag - INFO - _check_node_exists:query:MATCH (n:`THE CASK`) RETURN count(n) > 0 AS node_exists:result:True +2024-10-29 13:35:49,538 - lightrag - INFO - _do_upsert_edge:query: + MATCH (source:`SCROOGE`) + WITH source + MATCH (target:`THE CASK`) + MERGE (source)-[r:DIRECTED]->(target) + SET r += $properties + RETURN r + :result:None +2024-10-29 13:35:49,719 - lightrag - INFO - _check_edge_existence:query:MATCH (a:`JACOB MARLEY`)-[r]-(b:`SCROOGE`) RETURN COUNT(r) > 0 AS edgeExists:result:False +2024-10-29 13:35:49,899 - lightrag - INFO - _check_node_exists:query:MATCH (n:`JACOB MARLEY`) RETURN count(n) > 0 AS node_exists:result:True +2024-10-29 13:35:50,062 - lightrag - INFO - _check_node_exists:query:MATCH (n:`SCROOGE`) RETURN count(n) > 0 AS node_exists:result:True +2024-10-29 13:35:50,250 - lightrag - INFO - _do_upsert_edge:query: + MATCH (source:`JACOB MARLEY`) + WITH source + MATCH (target:`SCROOGE`) + MERGE (source)-[r:DIRECTED]->(target) + SET r += $properties + RETURN r + :result:None +2024-10-29 13:35:50,430 - lightrag - INFO - _check_edge_existence:query:MATCH (a:`JACOB MARLEY`)-[r]-(b:`THE GHOST`) RETURN COUNT(r) > 0 AS edgeExists:result:False +2024-10-29 13:35:50,606 - lightrag - INFO - _check_node_exists:query:MATCH (n:`JACOB MARLEY`) RETURN count(n) > 0 AS node_exists:result:True +2024-10-29 13:35:50,775 - lightrag - INFO - _check_node_exists:query:MATCH (n:`THE GHOST`) RETURN count(n) > 0 AS node_exists:result:True +2024-10-29 13:35:50,960 - lightrag - INFO - _do_upsert_edge:query: + MATCH (source:`JACOB MARLEY`) + WITH source + MATCH (target:`THE GHOST`) + MERGE (source)-[r:DIRECTED]->(target) + SET r += $properties + RETURN r + :result:None +2024-10-29 13:35:51,148 - lightrag - INFO - _check_edge_existence:query:MATCH (a:`MANKIND`)-[r]-(b:`SCROOGE`) RETURN COUNT(r) > 0 AS edgeExists:result:False +2024-10-29 13:35:51,324 - lightrag - INFO - _check_node_exists:query:MATCH (n:`MANKIND`) RETURN count(n) > 0 AS node_exists:result:True +2024-10-29 13:35:51,485 - lightrag - INFO - _check_node_exists:query:MATCH (n:`SCROOGE`) RETURN count(n) > 0 AS node_exists:result:True +2024-10-29 13:35:51,676 - lightrag - INFO - _do_upsert_edge:query: + MATCH (source:`MANKIND`) + WITH source + MATCH (target:`SCROOGE`) + MERGE (source)-[r:DIRECTED]->(target) + SET r += $properties + RETURN r + :result:None +2024-10-29 13:35:51,861 - lightrag - INFO - _check_edge_existence:query:MATCH (a:`BUSINESS`)-[r]-(b:`JACOB MARLEY`) RETURN COUNT(r) > 0 AS edgeExists:result:False +2024-10-29 13:35:52,039 - lightrag - INFO - _check_node_exists:query:MATCH (n:`BUSINESS`) RETURN count(n) > 0 AS node_exists:result:True +2024-10-29 13:35:52,204 - lightrag - INFO - _check_node_exists:query:MATCH (n:`JACOB MARLEY`) RETURN count(n) > 0 AS node_exists:result:True +2024-10-29 13:35:52,395 - lightrag - INFO - _do_upsert_edge:query: + MATCH (source:`BUSINESS`) + WITH source + MATCH (target:`JACOB MARLEY`) + MERGE (source)-[r:DIRECTED]->(target) + SET r += $properties + RETURN r + :result:None +2024-10-29 13:35:52,583 - lightrag - INFO - _check_edge_existence:query:MATCH (a:`SCROOGE`)-[r]-(b:`THE THREE SPIRITS`) RETURN COUNT(r) > 0 AS edgeExists:result:False +2024-10-29 13:35:52,745 - lightrag - INFO - _check_node_exists:query:MATCH (n:`SCROOGE`) RETURN count(n) > 0 AS node_exists:result:True +2024-10-29 13:35:52,917 - lightrag - INFO - _check_node_exists:query:MATCH (n:`THE THREE SPIRITS`) RETURN count(n) > 0 AS node_exists:result:True +2024-10-29 13:35:53,110 - lightrag - INFO - _do_upsert_edge:query: + MATCH (source:`SCROOGE`) + WITH source + MATCH (target:`THE THREE SPIRITS`) + MERGE (source)-[r:DIRECTED]->(target) + SET r += $properties + RETURN r + :result:None +2024-10-29 13:35:53,301 - lightrag - INFO - _check_edge_existence:query:MATCH (a:`MARLEY'S GHOST`)-[r]-(b:`THE INVISIBLE WORLD`) RETURN COUNT(r) > 0 AS edgeExists:result:False +2024-10-29 13:35:53,459 - lightrag - INFO - _check_node_exists:query:MATCH (n:`MARLEY'S GHOST`) RETURN count(n) > 0 AS node_exists:result:True +2024-10-29 13:35:53,632 - lightrag - INFO - _check_node_exists:query:MATCH (n:`THE INVISIBLE WORLD`) RETURN count(n) > 0 AS node_exists:result:True +2024-10-29 13:35:53,814 - lightrag - INFO - _do_upsert_edge:query: + MATCH (source:`MARLEY'S GHOST`) + WITH source + MATCH (target:`THE INVISIBLE WORLD`) + MERGE (source)-[r:DIRECTED]->(target) + SET r += $properties + RETURN r + :result:None +2024-10-29 13:35:53,998 - lightrag - INFO - _check_edge_existence:query:MATCH (a:`SCROOGE`)-[r]-(b:`THE CLOCK`) RETURN COUNT(r) > 0 AS edgeExists:result:False +2024-10-29 13:35:54,161 - lightrag - INFO - _check_node_exists:query:MATCH (n:`SCROOGE`) RETURN count(n) > 0 AS node_exists:result:True +2024-10-29 13:35:54,338 - lightrag - INFO - _check_node_exists:query:MATCH (n:`THE CLOCK`) RETURN count(n) > 0 AS node_exists:result:True +2024-10-29 13:35:54,518 - lightrag - INFO - _do_upsert_edge:query: + MATCH (source:`SCROOGE`) + WITH source + MATCH (target:`THE CLOCK`) + MERGE (source)-[r:DIRECTED]->(target) + SET r += $properties + RETURN r + :result:None +2024-10-29 13:35:54,702 - lightrag - INFO - _check_edge_existence:query:MATCH (a:`EBENEZER SCROOGE`)-[r]-(b:`MARLEY'S GHOST`) RETURN COUNT(r) > 0 AS edgeExists:result:False +2024-10-29 13:35:54,867 - lightrag - INFO - _check_node_exists:query:MATCH (n:`EBENEZER SCROOGE`) RETURN count(n) > 0 AS node_exists:result:True +2024-10-29 13:35:55,033 - lightrag - INFO - _check_node_exists:query:MATCH (n:`MARLEY'S GHOST`) RETURN count(n) > 0 AS node_exists:result:True +2024-10-29 13:35:55,229 - lightrag - INFO - _do_upsert_edge:query: + MATCH (source:`EBENEZER SCROOGE`) + WITH source + MATCH (target:`MARLEY'S GHOST`) + MERGE (source)-[r:DIRECTED]->(target) + SET r += $properties + RETURN r + :result:None +2024-10-29 13:35:55,417 - lightrag - INFO - _check_edge_existence:query:MATCH (a:`EBENEZER SCROOGE`)-[r]-(b:`THE VISITOR`) RETURN COUNT(r) > 0 AS edgeExists:result:False +2024-10-29 13:35:55,579 - lightrag - INFO - _check_node_exists:query:MATCH (n:`EBENEZER SCROOGE`) RETURN count(n) > 0 AS node_exists:result:True +2024-10-29 13:35:55,750 - lightrag - INFO - _check_node_exists:query:MATCH (n:`THE VISITOR`) RETURN count(n) > 0 AS node_exists:result:True +2024-10-29 13:35:55,942 - lightrag - INFO - _do_upsert_edge:query: + MATCH (source:`EBENEZER SCROOGE`) + WITH source + MATCH (target:`THE VISITOR`) + MERGE (source)-[r:DIRECTED]->(target) + SET r += $properties + RETURN r + :result:None +2024-10-29 13:35:56,128 - lightrag - INFO - _check_edge_existence:query:MATCH (a:`EBENEZER SCROOGE`)-[r]-(b:`THE CLOCK`) RETURN COUNT(r) > 0 AS edgeExists:result:False +2024-10-29 13:35:56,291 - lightrag - INFO - _check_node_exists:query:MATCH (n:`EBENEZER SCROOGE`) RETURN count(n) > 0 AS node_exists:result:True +2024-10-29 13:35:56,457 - lightrag - INFO - _check_node_exists:query:MATCH (n:`THE CLOCK`) RETURN count(n) > 0 AS node_exists:result:True +2024-10-29 13:35:56,643 - lightrag - INFO - _do_upsert_edge:query: + MATCH (source:`EBENEZER SCROOGE`) + WITH source + MATCH (target:`THE CLOCK`) + MERGE (source)-[r:DIRECTED]->(target) + SET r += $properties + RETURN r + :result:None +2024-10-29 13:35:56,832 - lightrag - INFO - _check_edge_existence:query:MATCH (a:`MARLEY'S GHOST`)-[r]-(b:`THE VISITOR`) RETURN COUNT(r) > 0 AS edgeExists:result:False +2024-10-29 13:35:57,001 - lightrag - INFO - _check_node_exists:query:MATCH (n:`MARLEY'S GHOST`) RETURN count(n) > 0 AS node_exists:result:True +2024-10-29 13:35:57,176 - lightrag - INFO - _check_node_exists:query:MATCH (n:`THE VISITOR`) RETURN count(n) > 0 AS node_exists:result:True +2024-10-29 13:35:57,371 - lightrag - INFO - _do_upsert_edge:query: + MATCH (source:`MARLEY'S GHOST`) + WITH source + MATCH (target:`THE VISITOR`) + MERGE (source)-[r:DIRECTED]->(target) + SET r += $properties + RETURN r + :result:None +2024-10-29 13:35:57,567 - lightrag - INFO - _check_edge_existence:query:MATCH (a:`LIGHT`)-[r]-(b:`THE VISITOR`) RETURN COUNT(r) > 0 AS edgeExists:result:False +2024-10-29 13:35:57,739 - lightrag - INFO - _check_node_exists:query:MATCH (n:`LIGHT`) RETURN count(n) > 0 AS node_exists:result:True +2024-10-29 13:35:57,905 - lightrag - INFO - _check_node_exists:query:MATCH (n:`THE VISITOR`) RETURN count(n) > 0 AS node_exists:result:True +2024-10-29 13:35:58,095 - lightrag - INFO - _do_upsert_edge:query: + MATCH (source:`LIGHT`) + WITH source + MATCH (target:`THE VISITOR`) + MERGE (source)-[r:DIRECTED]->(target) + SET r += $properties + RETURN r + :result:None +2024-10-29 13:35:58,280 - lightrag - INFO - _check_edge_existence:query:MATCH (a:`HOLLY BRANCH`)-[r]-(b:`THE VISITOR`) RETURN COUNT(r) > 0 AS edgeExists:result:False +2024-10-29 13:35:58,459 - lightrag - INFO - _check_node_exists:query:MATCH (n:`HOLLY BRANCH`) RETURN count(n) > 0 AS node_exists:result:True +2024-10-29 13:35:58,619 - lightrag - INFO - _check_node_exists:query:MATCH (n:`THE VISITOR`) RETURN count(n) > 0 AS node_exists:result:True +2024-10-29 13:35:58,800 - lightrag - INFO - _do_upsert_edge:query: + MATCH (source:`HOLLY BRANCH`) + WITH source + MATCH (target:`THE VISITOR`) + MERGE (source)-[r:DIRECTED]->(target) + SET r += $properties + RETURN r + :result:None +2024-10-29 13:35:58,984 - lightrag - INFO - _check_edge_existence:query:MATCH (a:`DREAM`)-[r]-(b:`EBENEZER SCROOGE`) RETURN COUNT(r) > 0 AS edgeExists:result:False +2024-10-29 13:35:59,161 - lightrag - INFO - _check_node_exists:query:MATCH (n:`DREAM`) RETURN count(n) > 0 AS node_exists:result:True +2024-10-29 13:35:59,327 - lightrag - INFO - _check_node_exists:query:MATCH (n:`EBENEZER SCROOGE`) RETURN count(n) > 0 AS node_exists:result:True +2024-10-29 13:35:59,517 - lightrag - INFO - _do_upsert_edge:query: + MATCH (source:`DREAM`) + WITH source + MATCH (target:`EBENEZER SCROOGE`) + MERGE (source)-[r:DIRECTED]->(target) + SET r += $properties + RETURN r + :result:None +2024-10-29 13:35:59,699 - lightrag - INFO - _check_edge_existence:query:MATCH (a:`GHOST OF CHRISTMAS PAST`)-[r]-(b:`SCROOGE`) RETURN COUNT(r) > 0 AS edgeExists:result:False +2024-10-29 13:35:59,881 - lightrag - INFO - _check_node_exists:query:MATCH (n:`GHOST OF CHRISTMAS PAST`) RETURN count(n) > 0 AS node_exists:result:True +2024-10-29 13:36:00,048 - lightrag - INFO - _check_node_exists:query:MATCH (n:`SCROOGE`) RETURN count(n) > 0 AS node_exists:result:True +2024-10-29 13:36:00,241 - lightrag - INFO - _do_upsert_edge:query: + MATCH (source:`GHOST OF CHRISTMAS PAST`) + WITH source + MATCH (target:`SCROOGE`) + MERGE (source)-[r:DIRECTED]->(target) + SET r += $properties + RETURN r + :result:None +2024-10-29 13:36:00,437 - lightrag - INFO - _check_edge_existence:query:MATCH (a:`MARKET-TOWN`)-[r]-(b:`SCROOGE`) RETURN COUNT(r) > 0 AS edgeExists:result:False +2024-10-29 13:36:00,613 - lightrag - INFO - _check_node_exists:query:MATCH (n:`MARKET-TOWN`) RETURN count(n) > 0 AS node_exists:result:True +2024-10-29 13:36:00,776 - lightrag - INFO - _check_node_exists:query:MATCH (n:`SCROOGE`) RETURN count(n) > 0 AS node_exists:result:True +2024-10-29 13:36:00,966 - lightrag - INFO - _do_upsert_edge:query: + MATCH (source:`MARKET-TOWN`) + WITH source + MATCH (target:`SCROOGE`) + MERGE (source)-[r:DIRECTED]->(target) + SET r += $properties + RETURN r + :result:None +2024-10-29 13:36:01,156 - lightrag - INFO - _check_edge_existence:query:MATCH (a:`GHOST OF CHRISTMAS PAST`)-[r]-(b:`THE CITY`) RETURN COUNT(r) > 0 AS edgeExists:result:False +2024-10-29 13:36:01,330 - lightrag - INFO - _check_node_exists:query:MATCH (n:`GHOST OF CHRISTMAS PAST`) RETURN count(n) > 0 AS node_exists:result:True +2024-10-29 13:36:01,507 - lightrag - INFO - _check_node_exists:query:MATCH (n:`THE CITY`) RETURN count(n) > 0 AS node_exists:result:True +2024-10-29 13:36:01,692 - lightrag - INFO - _do_upsert_edge:query: + MATCH (source:`GHOST OF CHRISTMAS PAST`) + WITH source + MATCH (target:`THE CITY`) + MERGE (source)-[r:DIRECTED]->(target) + SET r += $properties + RETURN r + :result:None +2024-10-29 13:36:01,874 - lightrag - INFO - _check_edge_existence:query:MATCH (a:`SCROOGE`)-[r]-(b:`THE CITY`) RETURN COUNT(r) > 0 AS edgeExists:result:False +2024-10-29 13:36:02,037 - lightrag - INFO - _check_node_exists:query:MATCH (n:`SCROOGE`) RETURN count(n) > 0 AS node_exists:result:True +2024-10-29 13:36:02,219 - lightrag - INFO - _check_node_exists:query:MATCH (n:`THE CITY`) RETURN count(n) > 0 AS node_exists:result:True +2024-10-29 13:36:02,407 - lightrag - INFO - _do_upsert_edge:query: + MATCH (source:`SCROOGE`) + WITH source + MATCH (target:`THE CITY`) + MERGE (source)-[r:DIRECTED]->(target) + SET r += $properties + RETURN r + :result:None +2024-10-29 13:36:02,595 - lightrag - INFO - _check_edge_existence:query:MATCH (a:`SCROOGE`)-[r]-(b:`SPIRIT`) RETURN COUNT(r) > 0 AS edgeExists:result:False +2024-10-29 13:36:02,757 - lightrag - INFO - _check_node_exists:query:MATCH (n:`SCROOGE`) RETURN count(n) > 0 AS node_exists:result:True +2024-10-29 13:36:02,932 - lightrag - INFO - _check_node_exists:query:MATCH (n:`SPIRIT`) RETURN count(n) > 0 AS node_exists:result:True +2024-10-29 13:36:03,122 - lightrag - INFO - _do_upsert_edge:query: + MATCH (source:`SCROOGE`) + WITH source + MATCH (target:`SPIRIT`) + MERGE (source)-[r:DIRECTED]->(target) + SET r += $properties + RETURN r + :result:None +2024-10-29 13:36:03,308 - lightrag - INFO - _check_edge_existence:query:MATCH (a:`CHILDREN`)-[r]-(b:`SCROOGE`) RETURN COUNT(r) > 0 AS edgeExists:result:False +2024-10-29 13:36:03,491 - lightrag - INFO - _check_node_exists:query:MATCH (n:`CHILDREN`) RETURN count(n) > 0 AS node_exists:result:True +2024-10-29 13:36:03,648 - lightrag - INFO - _check_node_exists:query:MATCH (n:`SCROOGE`) RETURN count(n) > 0 AS node_exists:result:True +2024-10-29 13:36:03,832 - lightrag - INFO - _do_upsert_edge:query: + MATCH (source:`CHILDREN`) + WITH source + MATCH (target:`SCROOGE`) + MERGE (source)-[r:DIRECTED]->(target) + SET r += $properties + RETURN r + :result:None +2024-10-29 13:36:04,018 - lightrag - INFO - _check_edge_existence:query:MATCH (a:`SCHOOL`)-[r]-(b:`SPIRIT`) RETURN COUNT(r) > 0 AS edgeExists:result:False +2024-10-29 13:36:04,194 - lightrag - INFO - _check_node_exists:query:MATCH (n:`SCHOOL`) RETURN count(n) > 0 AS node_exists:result:True +2024-10-29 13:36:04,372 - lightrag - INFO - _check_node_exists:query:MATCH (n:`SPIRIT`) RETURN count(n) > 0 AS node_exists:result:True +2024-10-29 13:36:04,560 - lightrag - INFO - _do_upsert_edge:query: + MATCH (source:`SCHOOL`) + WITH source + MATCH (target:`SPIRIT`) + MERGE (source)-[r:DIRECTED]->(target) + SET r += $properties + RETURN r + :result:None +2024-10-29 13:36:04,743 - lightrag - INFO - _check_edge_existence:query:MATCH (a:`SCHOOL`)-[r]-(b:`SCROOGE`) RETURN COUNT(r) > 0 AS edgeExists:result:False +2024-10-29 13:36:04,903 - lightrag - INFO - _check_node_exists:query:MATCH (n:`SCHOOL`) RETURN count(n) > 0 AS node_exists:result:True +2024-10-29 13:36:05,063 - lightrag - INFO - _check_node_exists:query:MATCH (n:`SCROOGE`) RETURN count(n) > 0 AS node_exists:result:True +2024-10-29 13:36:05,250 - lightrag - INFO - _do_upsert_edge:query: + MATCH (source:`SCHOOL`) + WITH source + MATCH (target:`SCROOGE`) + MERGE (source)-[r:DIRECTED]->(target) + SET r += $properties + RETURN r + :result:None +2024-10-29 13:36:05,438 - lightrag - INFO - _check_edge_existence:query:MATCH (a:`ALI BABA`)-[r]-(b:`SCROOGE`) RETURN COUNT(r) > 0 AS edgeExists:result:False +2024-10-29 13:36:05,689 - lightrag - INFO - _check_node_exists:query:MATCH (n:`ALI BABA`) RETURN count(n) > 0 AS node_exists:result:True +2024-10-29 13:36:05,850 - lightrag - INFO - _check_node_exists:query:MATCH (n:`SCROOGE`) RETURN count(n) > 0 AS node_exists:result:True +2024-10-29 13:36:06,039 - lightrag - INFO - _do_upsert_edge:query: + MATCH (source:`ALI BABA`) + WITH source + MATCH (target:`SCROOGE`) + MERGE (source)-[r:DIRECTED]->(target) + SET r += $properties + RETURN r + :result:None +2024-10-29 13:36:06,221 - lightrag - INFO - _check_edge_existence:query:MATCH (a:`SCROOGE`)-[r]-(b:`VALENTINE`) RETURN COUNT(r) > 0 AS edgeExists:result:False +2024-10-29 13:36:06,388 - lightrag - INFO - _check_node_exists:query:MATCH (n:`SCROOGE`) RETURN count(n) > 0 AS node_exists:result:True +2024-10-29 13:36:06,570 - lightrag - INFO - _check_node_exists:query:MATCH (n:`VALENTINE`) RETURN count(n) > 0 AS node_exists:result:True +2024-10-29 13:36:06,757 - lightrag - INFO - _do_upsert_edge:query: + MATCH (source:`SCROOGE`) + WITH source + MATCH (target:`VALENTINE`) + MERGE (source)-[r:DIRECTED]->(target) + SET r += $properties + RETURN r + :result:None +2024-10-29 13:36:06,943 - lightrag - INFO - _check_edge_existence:query:MATCH (a:`ORSON`)-[r]-(b:`SCROOGE`) RETURN COUNT(r) > 0 AS edgeExists:result:False +2024-10-29 13:36:07,118 - lightrag - INFO - _check_node_exists:query:MATCH (n:`ORSON`) RETURN count(n) > 0 AS node_exists:result:True +2024-10-29 13:36:07,281 - lightrag - INFO - _check_node_exists:query:MATCH (n:`SCROOGE`) RETURN count(n) > 0 AS node_exists:result:True +2024-10-29 13:36:07,470 - lightrag - INFO - _do_upsert_edge:query: + MATCH (source:`ORSON`) + WITH source + MATCH (target:`SCROOGE`) + MERGE (source)-[r:DIRECTED]->(target) + SET r += $properties + RETURN r + :result:None +2024-10-29 13:36:07,654 - lightrag - INFO - _check_edge_existence:query:MATCH (a:`ROBIN CRUSOE`)-[r]-(b:`SCROOGE`) RETURN COUNT(r) > 0 AS edgeExists:result:False +2024-10-29 13:36:07,828 - lightrag - INFO - _check_node_exists:query:MATCH (n:`ROBIN CRUSOE`) RETURN count(n) > 0 AS node_exists:result:True +2024-10-29 13:36:07,993 - lightrag - INFO - _check_node_exists:query:MATCH (n:`SCROOGE`) RETURN count(n) > 0 AS node_exists:result:True +2024-10-29 13:36:08,177 - lightrag - INFO - _do_upsert_edge:query: + MATCH (source:`ROBIN CRUSOE`) + WITH source + MATCH (target:`SCROOGE`) + MERGE (source)-[r:DIRECTED]->(target) + SET r += $properties + RETURN r + :result:None +2024-10-29 13:36:08,370 - lightrag - INFO - _check_edge_existence:query:MATCH (a:`FRIDAY`)-[r]-(b:`SCROOGE`) RETURN COUNT(r) > 0 AS edgeExists:result:False +2024-10-29 13:36:08,547 - lightrag - INFO - _check_node_exists:query:MATCH (n:`FRIDAY`) RETURN count(n) > 0 AS node_exists:result:True +2024-10-29 13:36:08,710 - lightrag - INFO - _check_node_exists:query:MATCH (n:`SCROOGE`) RETURN count(n) > 0 AS node_exists:result:True +2024-10-29 13:36:08,892 - lightrag - INFO - _do_upsert_edge:query: + MATCH (source:`FRIDAY`) + WITH source + MATCH (target:`SCROOGE`) + MERGE (source)-[r:DIRECTED]->(target) + SET r += $properties + RETURN r + :result:None +2024-10-29 13:36:09,079 - lightrag - INFO - _check_edge_existence:query:MATCH (a:`SCROOGE`)-[r]-(b:`THE GHOST`) RETURN COUNT(r) > 0 AS edgeExists:result:False +2024-10-29 13:36:09,243 - lightrag - INFO - _check_node_exists:query:MATCH (n:`SCROOGE`) RETURN count(n) > 0 AS node_exists:result:True +2024-10-29 13:36:09,420 - lightrag - INFO - _check_node_exists:query:MATCH (n:`THE GHOST`) RETURN count(n) > 0 AS node_exists:result:True +2024-10-29 13:36:09,610 - lightrag - INFO - _do_upsert_edge:query: + MATCH (source:`SCROOGE`) + WITH source + MATCH (target:`THE GHOST`) + MERGE (source)-[r:DIRECTED]->(target) + SET r += $properties + RETURN r + :result:None +2024-10-29 13:36:09,792 - lightrag - INFO - _check_edge_existence:query:MATCH (a:`CHRISTMAS CAROL`)-[r]-(b:`SCROOGE`) RETURN COUNT(r) > 0 AS edgeExists:result:False +2024-10-29 13:36:09,966 - lightrag - INFO - _check_node_exists:query:MATCH (n:`CHRISTMAS CAROL`) RETURN count(n) > 0 AS node_exists:result:True +2024-10-29 13:36:10,130 - lightrag - INFO - _check_node_exists:query:MATCH (n:`SCROOGE`) RETURN count(n) > 0 AS node_exists:result:True +2024-10-29 13:36:10,322 - lightrag - INFO - _do_upsert_edge:query: + MATCH (source:`CHRISTMAS CAROL`) + WITH source + MATCH (target:`SCROOGE`) + MERGE (source)-[r:DIRECTED]->(target) + SET r += $properties + RETURN r + :result:None +2024-10-29 13:36:10,512 - lightrag - INFO - _check_edge_existence:query:MATCH (a:`GHOST`)-[r]-(b:`SCROOGE`) RETURN COUNT(r) > 0 AS edgeExists:result:False +2024-10-29 13:36:10,690 - lightrag - INFO - _check_node_exists:query:MATCH (n:`GHOST`) RETURN count(n) > 0 AS node_exists:result:True +2024-10-29 13:36:10,853 - lightrag - INFO - _check_node_exists:query:MATCH (n:`SCROOGE`) RETURN count(n) > 0 AS node_exists:result:True +2024-10-29 13:36:11,044 - lightrag - INFO - _do_upsert_edge:query: + MATCH (source:`GHOST`) + WITH source + MATCH (target:`SCROOGE`) + MERGE (source)-[r:DIRECTED]->(target) + SET r += $properties + RETURN r + :result:None +2024-10-29 13:36:11,229 - lightrag - INFO - _check_edge_existence:query:MATCH (a:`LITTLE FAN`)-[r]-(b:`SCROOGE`) RETURN COUNT(r) > 0 AS edgeExists:result:False +2024-10-29 13:36:11,412 - lightrag - INFO - _check_node_exists:query:MATCH (n:`LITTLE FAN`) RETURN count(n) > 0 AS node_exists:result:True +2024-10-29 13:36:11,578 - lightrag - INFO - _check_node_exists:query:MATCH (n:`SCROOGE`) RETURN count(n) > 0 AS node_exists:result:True +2024-10-29 13:36:11,762 - lightrag - INFO - _do_upsert_edge:query: + MATCH (source:`LITTLE FAN`) + WITH source + MATCH (target:`SCROOGE`) + MERGE (source)-[r:DIRECTED]->(target) + SET r += $properties + RETURN r + :result:None +2024-10-29 13:36:11,949 - lightrag - INFO - _check_edge_existence:query:MATCH (a:`FEZZIWIG`)-[r]-(b:`SCROOGE`) RETURN COUNT(r) > 0 AS edgeExists:result:False +2024-10-29 13:36:12,121 - lightrag - INFO - _check_node_exists:query:MATCH (n:`FEZZIWIG`) RETURN count(n) > 0 AS node_exists:result:True +2024-10-29 13:36:12,285 - lightrag - INFO - _check_node_exists:query:MATCH (n:`SCROOGE`) RETURN count(n) > 0 AS node_exists:result:True +2024-10-29 13:36:12,475 - lightrag - INFO - _do_upsert_edge:query: + MATCH (source:`FEZZIWIG`) + WITH source + MATCH (target:`SCROOGE`) + MERGE (source)-[r:DIRECTED]->(target) + SET r += $properties + RETURN r + :result:None +2024-10-29 13:36:12,662 - lightrag - INFO - _check_edge_existence:query:MATCH (a:`DICK WILKINS`)-[r]-(b:`SCROOGE`) RETURN COUNT(r) > 0 AS edgeExists:result:False +2024-10-29 13:36:12,847 - lightrag - INFO - _check_node_exists:query:MATCH (n:`DICK WILKINS`) RETURN count(n) > 0 AS node_exists:result:True +2024-10-29 13:36:13,013 - lightrag - INFO - _check_node_exists:query:MATCH (n:`SCROOGE`) RETURN count(n) > 0 AS node_exists:result:True +2024-10-29 13:36:13,199 - lightrag - INFO - _do_upsert_edge:query: + MATCH (source:`DICK WILKINS`) + WITH source + MATCH (target:`SCROOGE`) + MERGE (source)-[r:DIRECTED]->(target) + SET r += $properties + RETURN r + :result:None +2024-10-29 13:36:13,382 - lightrag - INFO - _check_edge_existence:query:MATCH (a:`SCROOGE`)-[r]-(b:`THE SCHOOLMASTER`) RETURN COUNT(r) > 0 AS edgeExists:result:False +2024-10-29 13:36:13,551 - lightrag - INFO - _check_node_exists:query:MATCH (n:`SCROOGE`) RETURN count(n) > 0 AS node_exists:result:True +2024-10-29 13:36:13,728 - lightrag - INFO - _check_node_exists:query:MATCH (n:`THE SCHOOLMASTER`) RETURN count(n) > 0 AS node_exists:result:True +2024-10-29 13:36:13,912 - lightrag - INFO - _do_upsert_edge:query: + MATCH (source:`SCROOGE`) + WITH source + MATCH (target:`THE SCHOOLMASTER`) + MERGE (source)-[r:DIRECTED]->(target) + SET r += $properties + RETURN r + :result:None +2024-10-29 13:36:14,091 - lightrag - INFO - _check_edge_existence:query:MATCH (a:`FATHER`)-[r]-(b:`LITTLE FAN`) RETURN COUNT(r) > 0 AS edgeExists:result:False +2024-10-29 13:36:14,264 - lightrag - INFO - _check_node_exists:query:MATCH (n:`FATHER`) RETURN count(n) > 0 AS node_exists:result:True +2024-10-29 13:36:14,435 - lightrag - INFO - _check_node_exists:query:MATCH (n:`LITTLE FAN`) RETURN count(n) > 0 AS node_exists:result:True +2024-10-29 13:36:14,626 - lightrag - INFO - _do_upsert_edge:query: + MATCH (source:`FATHER`) + WITH source + MATCH (target:`LITTLE FAN`) + MERGE (source)-[r:DIRECTED]->(target) + SET r += $properties + RETURN r + :result:None +2024-10-29 13:36:14,811 - lightrag - INFO - _check_edge_existence:query:MATCH (a:`SCROOGE`)-[r]-(b:`THE WAREHOUSE`) RETURN COUNT(r) > 0 AS edgeExists:result:False +2024-10-29 13:36:14,976 - lightrag - INFO - _check_node_exists:query:MATCH (n:`SCROOGE`) RETURN count(n) > 0 AS node_exists:result:True +2024-10-29 13:36:15,146 - lightrag - INFO - _check_node_exists:query:MATCH (n:`THE WAREHOUSE`) RETURN count(n) > 0 AS node_exists:result:True +2024-10-29 13:36:15,332 - lightrag - INFO - _do_upsert_edge:query: + MATCH (source:`SCROOGE`) + WITH source + MATCH (target:`THE WAREHOUSE`) + MERGE (source)-[r:DIRECTED]->(target) + SET r += $properties + RETURN r + :result:None +2024-10-29 13:36:15,517 - lightrag - INFO - _check_edge_existence:query:MATCH (a:`MASTER SCROOGE`)-[r]-(b:`SCROOGE`) RETURN COUNT(r) > 0 AS edgeExists:result:False +2024-10-29 13:36:15,697 - lightrag - INFO - _check_node_exists:query:MATCH (n:`MASTER SCROOGE`) RETURN count(n) > 0 AS node_exists:result:True +2024-10-29 13:36:15,855 - lightrag - INFO - _check_node_exists:query:MATCH (n:`SCROOGE`) RETURN count(n) > 0 AS node_exists:result:True +2024-10-29 13:36:16,040 - lightrag - INFO - _do_upsert_edge:query: + MATCH (source:`MASTER SCROOGE`) + WITH source + MATCH (target:`SCROOGE`) + MERGE (source)-[r:DIRECTED]->(target) + SET r += $properties + RETURN r + :result:None +2024-10-29 13:36:16,224 - lightrag - INFO - _check_edge_existence:query:MATCH (a:`DICK WILKINS`)-[r]-(b:`EBENEZER`) RETURN COUNT(r) > 0 AS edgeExists:result:False +2024-10-29 13:36:16,401 - lightrag - INFO - _check_node_exists:query:MATCH (n:`DICK WILKINS`) RETURN count(n) > 0 AS node_exists:result:True +2024-10-29 13:36:16,578 - lightrag - INFO - _check_node_exists:query:MATCH (n:`EBENEZER`) RETURN count(n) > 0 AS node_exists:result:True +2024-10-29 13:36:16,769 - lightrag - INFO - _do_upsert_edge:query: + MATCH (source:`DICK WILKINS`) + WITH source + MATCH (target:`EBENEZER`) + MERGE (source)-[r:DIRECTED]->(target) + SET r += $properties + RETURN r + :result:None +2024-10-29 13:36:16,954 - lightrag - INFO - _check_edge_existence:query:MATCH (a:`FEZZIWIG`)-[r]-(b:`THE DANCE`) RETURN COUNT(r) > 0 AS edgeExists:result:False +2024-10-29 13:36:17,126 - lightrag - INFO - _check_node_exists:query:MATCH (n:`FEZZIWIG`) RETURN count(n) > 0 AS node_exists:result:True +2024-10-29 13:36:17,297 - lightrag - INFO - _check_node_exists:query:MATCH (n:`THE DANCE`) RETURN count(n) > 0 AS node_exists:result:True +2024-10-29 13:36:17,484 - lightrag - INFO - _do_upsert_edge:query: + MATCH (source:`FEZZIWIG`) + WITH source + MATCH (target:`THE DANCE`) + MERGE (source)-[r:DIRECTED]->(target) + SET r += $properties + RETURN r + :result:None +2024-10-29 13:36:17,673 - lightrag - INFO - _check_edge_existence:query:MATCH (a:`CHRISTMAS EVE`)-[r]-(b:`THE DANCE`) RETURN COUNT(r) > 0 AS edgeExists:result:False +2024-10-29 13:36:17,849 - lightrag - INFO - _check_node_exists:query:MATCH (n:`CHRISTMAS EVE`) RETURN count(n) > 0 AS node_exists:result:True +2024-10-29 13:36:18,026 - lightrag - INFO - _check_node_exists:query:MATCH (n:`THE DANCE`) RETURN count(n) > 0 AS node_exists:result:True +2024-10-29 13:36:18,211 - lightrag - INFO - _do_upsert_edge:query: + MATCH (source:`CHRISTMAS EVE`) + WITH source + MATCH (target:`THE DANCE`) + MERGE (source)-[r:DIRECTED]->(target) + SET r += $properties + RETURN r + :result:None +2024-10-29 13:36:18,421 - lightrag - INFO - _check_edge_existence:query:MATCH (a:`THE DANCE`)-[r]-(b:`THE FIDDLER`) RETURN COUNT(r) > 0 AS edgeExists:result:False +2024-10-29 13:36:18,585 - lightrag - INFO - _check_node_exists:query:MATCH (n:`THE DANCE`) RETURN count(n) > 0 AS node_exists:result:True +2024-10-29 13:36:18,759 - lightrag - INFO - _check_node_exists:query:MATCH (n:`THE FIDDLER`) RETURN count(n) > 0 AS node_exists:result:True +2024-10-29 13:36:18,942 - lightrag - INFO - _do_upsert_edge:query: + MATCH (source:`THE DANCE`) + WITH source + MATCH (target:`THE FIDDLER`) + MERGE (source)-[r:DIRECTED]->(target) + SET r += $properties + RETURN r + :result:None +2024-10-29 13:36:19,120 - lightrag - INFO - _check_edge_existence:query:MATCH (a:`FEZZIWIG`)-[r]-(b:`THE YOUNG FOLLOWERS`) RETURN COUNT(r) > 0 AS edgeExists:result:False +2024-10-29 13:36:19,290 - lightrag - INFO - _check_node_exists:query:MATCH (n:`FEZZIWIG`) RETURN count(n) > 0 AS node_exists:result:True +2024-10-29 13:36:19,468 - lightrag - INFO - _check_node_exists:query:MATCH (n:`THE YOUNG FOLLOWERS`) RETURN count(n) > 0 AS node_exists:result:True +2024-10-29 13:36:19,679 - lightrag - INFO - _do_upsert_edge:query: + MATCH (source:`FEZZIWIG`) + WITH source + MATCH (target:`THE YOUNG FOLLOWERS`) + MERGE (source)-[r:DIRECTED]->(target) + SET r += $properties + RETURN r + :result:None +2024-10-29 13:36:19,867 - lightrag - INFO - _check_edge_existence:query:MATCH (a:`MRS. FEZZIWIG`)-[r]-(b:`THE YOUNG FOLLOWERS`) RETURN COUNT(r) > 0 AS edgeExists:result:False +2024-10-29 13:36:20,038 - lightrag - INFO - _check_node_exists:query:MATCH (n:`MRS. FEZZIWIG`) RETURN count(n) > 0 AS node_exists:result:True +2024-10-29 13:36:20,204 - lightrag - INFO - _check_node_exists:query:MATCH (n:`THE YOUNG FOLLOWERS`) RETURN count(n) > 0 AS node_exists:result:True +2024-10-29 13:36:20,393 - lightrag - INFO - _do_upsert_edge:query: + MATCH (source:`MRS. FEZZIWIG`) + WITH source + MATCH (target:`THE YOUNG FOLLOWERS`) + MERGE (source)-[r:DIRECTED]->(target) + SET r += $properties + RETURN r + :result:None +2024-10-29 13:36:20,577 - lightrag - INFO - _check_edge_existence:query:MATCH (a:`THE BAKE`)-[r]-(b:`THE HOUSEMAID`) RETURN COUNT(r) > 0 AS edgeExists:result:False +2024-10-29 13:36:20,755 - lightrag - INFO - _check_node_exists:query:MATCH (n:`THE BAKE`) RETURN count(n) > 0 AS node_exists:result:False +2024-10-29 13:36:20,933 - lightrag - INFO - _do_upsert:query: + MERGE (n:`THE BAKE`) + SET n += $properties + RETURN n + :result:{'entity_type': '"UNKNOWN"', 'description': '"The Housemaid and The Baker are connected through their roles in the household during the festive gathering."', 'source_id': 'chunk-8bc1edd983869352d14cf0886a9175a7'} +2024-10-29 13:36:21,111 - lightrag - INFO - _check_node_exists:query:MATCH (n:`THE HOUSEMAID`) RETURN count(n) > 0 AS node_exists:result:True +2024-10-29 13:36:21,296 - lightrag - INFO - _do_upsert_edge:query: + MATCH (source:`THE BAKE`) + WITH source + MATCH (target:`THE HOUSEMAID`) + MERGE (source)-[r:DIRECTED]->(target) + SET r += $properties + RETURN r + :result:None +2024-10-29 13:36:21,488 - lightrag - INFO - _check_edge_existence:query:MATCH (a:`COLD ROAST`)-[r]-(b:`THE DANCE`) RETURN COUNT(r) > 0 AS edgeExists:result:False +2024-10-29 13:36:21,669 - lightrag - INFO - _check_node_exists:query:MATCH (n:`COLD ROAST`) RETURN count(n) > 0 AS node_exists:result:True +2024-10-29 13:36:21,839 - lightrag - INFO - _check_node_exists:query:MATCH (n:`THE DANCE`) RETURN count(n) > 0 AS node_exists:result:True +2024-10-29 13:36:22,019 - lightrag - INFO - _do_upsert_edge:query: + MATCH (source:`COLD ROAST`) + WITH source + MATCH (target:`THE DANCE`) + MERGE (source)-[r:DIRECTED]->(target) + SET r += $properties + RETURN r + :result:None +2024-10-29 13:36:22,210 - lightrag - INFO - _check_edge_existence:query:MATCH (a:`MINCE-PIES`)-[r]-(b:`THE DANCE`) RETURN COUNT(r) > 0 AS edgeExists:result:False +2024-10-29 13:36:22,391 - lightrag - INFO - _check_node_exists:query:MATCH (n:`MINCE-PIES`) RETURN count(n) > 0 AS node_exists:result:True +2024-10-29 13:36:22,559 - lightrag - INFO - _check_node_exists:query:MATCH (n:`THE DANCE`) RETURN count(n) > 0 AS node_exists:result:True +2024-10-29 13:36:22,746 - lightrag - INFO - _do_upsert_edge:query: + MATCH (source:`MINCE-PIES`) + WITH source + MATCH (target:`THE DANCE`) + MERGE (source)-[r:DIRECTED]->(target) + SET r += $properties + RETURN r + :result:None +2024-10-29 13:36:22,931 - lightrag - INFO - _check_edge_existence:query:MATCH (a:`NEGUS`)-[r]-(b:`THE DANCE`) RETURN COUNT(r) > 0 AS edgeExists:result:False +2024-10-29 13:36:23,103 - lightrag - INFO - _check_node_exists:query:MATCH (n:`NEGUS`) RETURN count(n) > 0 AS node_exists:result:True +2024-10-29 13:36:23,265 - lightrag - INFO - _check_node_exists:query:MATCH (n:`THE DANCE`) RETURN count(n) > 0 AS node_exists:result:True +2024-10-29 13:36:23,452 - lightrag - INFO - _do_upsert_edge:query: + MATCH (source:`NEGUS`) + WITH source + MATCH (target:`THE DANCE`) + MERGE (source)-[r:DIRECTED]->(target) + SET r += $properties + RETURN r + :result:None +2024-10-29 13:36:23,640 - lightrag - INFO - _check_edge_existence:query:MATCH (a:`SCROOGE`)-[r]-(b:`THE GHOST OF CHRISTMAS PAST`) RETURN COUNT(r) > 0 AS edgeExists:result:False +2024-10-29 13:36:23,807 - lightrag - INFO - _check_node_exists:query:MATCH (n:`SCROOGE`) RETURN count(n) > 0 AS node_exists:result:True +2024-10-29 13:36:23,978 - lightrag - INFO - _check_node_exists:query:MATCH (n:`THE GHOST OF CHRISTMAS PAST`) RETURN count(n) > 0 AS node_exists:result:True +2024-10-29 13:36:24,162 - lightrag - INFO - _do_upsert_edge:query: + MATCH (source:`SCROOGE`) + WITH source + MATCH (target:`THE GHOST OF CHRISTMAS PAST`) + MERGE (source)-[r:DIRECTED]->(target) + SET r += $properties + RETURN r + :result:None +2024-10-29 13:36:24,351 - lightrag - INFO - _check_edge_existence:query:MATCH (a:`FEZZIWIG`)-[r]-(b:`THE DOMESTIC BALL`) RETURN COUNT(r) > 0 AS edgeExists:result:False +2024-10-29 13:36:24,518 - lightrag - INFO - _check_node_exists:query:MATCH (n:`FEZZIWIG`) RETURN count(n) > 0 AS node_exists:result:True +2024-10-29 13:36:24,692 - lightrag - INFO - _check_node_exists:query:MATCH (n:`THE DOMESTIC BALL`) RETURN count(n) > 0 AS node_exists:result:True +2024-10-29 13:36:24,882 - lightrag - INFO - _do_upsert_edge:query: + MATCH (source:`FEZZIWIG`) + WITH source + MATCH (target:`THE DOMESTIC BALL`) + MERGE (source)-[r:DIRECTED]->(target) + SET r += $properties + RETURN r + :result:None +2024-10-29 13:36:25,062 - lightrag - INFO - _check_edge_existence:query:MATCH (a:`DICK`)-[r]-(b:`SCROOGE`) RETURN COUNT(r) > 0 AS edgeExists:result:False +2024-10-29 13:36:25,237 - lightrag - INFO - _check_node_exists:query:MATCH (n:`DICK`) RETURN count(n) > 0 AS node_exists:result:True +2024-10-29 13:36:25,402 - lightrag - INFO - _check_node_exists:query:MATCH (n:`SCROOGE`) RETURN count(n) > 0 AS node_exists:result:True +2024-10-29 13:36:25,590 - lightrag - INFO - _do_upsert_edge:query: + MATCH (source:`DICK`) + WITH source + MATCH (target:`SCROOGE`) + MERGE (source)-[r:DIRECTED]->(target) + SET r += $properties + RETURN r + :result:None +2024-10-29 13:36:25,779 - lightrag - INFO - _check_edge_existence:query:MATCH (a:`FEZZIWIG`)-[r]-(b:`THE TWO APPRENTICES`) RETURN COUNT(r) > 0 AS edgeExists:result:False +2024-10-29 13:36:25,948 - lightrag - INFO - _check_node_exists:query:MATCH (n:`FEZZIWIG`) RETURN count(n) > 0 AS node_exists:result:True +2024-10-29 13:36:26,119 - lightrag - INFO - _check_node_exists:query:MATCH (n:`THE TWO APPRENTICES`) RETURN count(n) > 0 AS node_exists:result:True +2024-10-29 13:36:26,302 - lightrag - INFO - _do_upsert_edge:query: + MATCH (source:`FEZZIWIG`) + WITH source + MATCH (target:`THE TWO APPRENTICES`) + MERGE (source)-[r:DIRECTED]->(target) + SET r += $properties + RETURN r + :result:None +2024-10-29 13:36:26,490 - lightrag - INFO - _check_edge_existence:query:MATCH (a:`SCROOGE`)-[r]-(b:`THE SPIRIT`) RETURN COUNT(r) > 0 AS edgeExists:result:False +2024-10-29 13:36:26,653 - lightrag - INFO - _check_node_exists:query:MATCH (n:`SCROOGE`) RETURN count(n) > 0 AS node_exists:result:True +2024-10-29 13:36:26,829 - lightrag - INFO - _check_node_exists:query:MATCH (n:`THE SPIRIT`) RETURN count(n) > 0 AS node_exists:result:True +2024-10-29 13:36:27,017 - lightrag - INFO - _do_upsert_edge:query: + MATCH (source:`SCROOGE`) + WITH source + MATCH (target:`THE SPIRIT`) + MERGE (source)-[r:DIRECTED]->(target) + SET r += $properties + RETURN r + :result:None +2024-10-29 13:36:27,196 - lightrag - INFO - _check_edge_existence:query:MATCH (a:`SCROOGE`)-[r]-(b:`WEALTH`) RETURN COUNT(r) > 0 AS edgeExists:result:False +2024-10-29 13:36:27,357 - lightrag - INFO - _check_node_exists:query:MATCH (n:`SCROOGE`) RETURN count(n) > 0 AS node_exists:result:True +2024-10-29 13:36:27,530 - lightrag - INFO - _check_node_exists:query:MATCH (n:`WEALTH`) RETURN count(n) > 0 AS node_exists:result:True +2024-10-29 13:36:27,720 - lightrag - INFO - _do_upsert_edge:query: + MATCH (source:`SCROOGE`) + WITH source + MATCH (target:`WEALTH`) + MERGE (source)-[r:DIRECTED]->(target) + SET r += $properties + RETURN r + :result:None +2024-10-29 13:36:27,904 - lightrag - INFO - _check_edge_existence:query:MATCH (a:`POVERTY`)-[r]-(b:`WEALTH`) RETURN COUNT(r) > 0 AS edgeExists:result:False +2024-10-29 13:36:28,075 - lightrag - INFO - _check_node_exists:query:MATCH (n:`POVERTY`) RETURN count(n) > 0 AS node_exists:result:True +2024-10-29 13:36:28,250 - lightrag - INFO - _check_node_exists:query:MATCH (n:`WEALTH`) RETURN count(n) > 0 AS node_exists:result:True +2024-10-29 13:36:28,429 - lightrag - INFO - _do_upsert_edge:query: + MATCH (source:`POVERTY`) + WITH source + MATCH (target:`WEALTH`) + MERGE (source)-[r:DIRECTED]->(target) + SET r += $properties + RETURN r + :result:None +2024-10-29 13:36:28,614 - lightrag - INFO - _check_edge_existence:query:MATCH (a:`SCROOGE`)-[r]-(b:`THE YOUNG GIRL`) RETURN COUNT(r) > 0 AS edgeExists:result:False +2024-10-29 13:36:28,776 - lightrag - INFO - _check_node_exists:query:MATCH (n:`SCROOGE`) RETURN count(n) > 0 AS node_exists:result:True +2024-10-29 13:36:28,960 - lightrag - INFO - _check_node_exists:query:MATCH (n:`THE YOUNG GIRL`) RETURN count(n) > 0 AS node_exists:result:True +2024-10-29 13:36:29,142 - lightrag - INFO - _do_upsert_edge:query: + MATCH (source:`SCROOGE`) + WITH source + MATCH (target:`THE YOUNG GIRL`) + MERGE (source)-[r:DIRECTED]->(target) + SET r += $properties + RETURN r + :result:None +2024-10-29 13:36:29,326 - lightrag - INFO - _check_edge_existence:query:MATCH (a:`THE DAUGHTER`)-[r]-(b:`THE MOTHER`) RETURN COUNT(r) > 0 AS edgeExists:result:False +2024-10-29 13:36:29,497 - lightrag - INFO - _check_node_exists:query:MATCH (n:`THE DAUGHTER`) RETURN count(n) > 0 AS node_exists:result:True +2024-10-29 13:36:29,673 - lightrag - INFO - _check_node_exists:query:MATCH (n:`THE MOTHER`) RETURN count(n) > 0 AS node_exists:result:True +2024-10-29 13:36:29,860 - lightrag - INFO - _do_upsert_edge:query: + MATCH (source:`THE DAUGHTER`) + WITH source + MATCH (target:`THE MOTHER`) + MERGE (source)-[r:DIRECTED]->(target) + SET r += $properties + RETURN r + :result:None +2024-10-29 13:36:30,045 - lightrag - INFO - _check_edge_existence:query:MATCH (a:`BELLE`)-[r]-(b:`SCROOGE`) RETURN COUNT(r) > 0 AS edgeExists:result:False +2024-10-29 13:36:30,218 - lightrag - INFO - _check_node_exists:query:MATCH (n:`BELLE`) RETURN count(n) > 0 AS node_exists:result:True +2024-10-29 13:36:30,379 - lightrag - INFO - _check_node_exists:query:MATCH (n:`SCROOGE`) RETURN count(n) > 0 AS node_exists:result:True +2024-10-29 13:36:30,566 - lightrag - INFO - _do_upsert_edge:query: + MATCH (source:`BELLE`) + WITH source + MATCH (target:`SCROOGE`) + MERGE (source)-[r:DIRECTED]->(target) + SET r += $properties + RETURN r + :result:None +2024-10-29 13:36:30,749 - lightrag - INFO - _check_edge_existence:query:MATCH (a:`THE BEDROOM`)-[r]-(b:`THE SPIRIT`) RETURN COUNT(r) > 0 AS edgeExists:result:False +2024-10-29 13:36:30,925 - lightrag - INFO - _check_node_exists:query:MATCH (n:`THE BEDROOM`) RETURN count(n) > 0 AS node_exists:result:True +2024-10-29 13:36:31,101 - lightrag - INFO - _check_node_exists:query:MATCH (n:`THE SPIRIT`) RETURN count(n) > 0 AS node_exists:result:True +2024-10-29 13:36:31,283 - lightrag - INFO - _do_upsert_edge:query: + MATCH (source:`THE BEDROOM`) + WITH source + MATCH (target:`THE SPIRIT`) + MERGE (source)-[r:DIRECTED]->(target) + SET r += $properties + RETURN r + :result:None +2024-10-29 13:36:31,471 - lightrag - INFO - _check_edge_existence:query:MATCH (a:`THE CHILDREN`)-[r]-(b:`THE FATHER`) RETURN COUNT(r) > 0 AS edgeExists:result:False +2024-10-29 13:36:31,646 - lightrag - INFO - _check_node_exists:query:MATCH (n:`THE CHILDREN`) RETURN count(n) > 0 AS node_exists:result:True +2024-10-29 13:36:31,840 - lightrag - INFO - _check_node_exists:query:MATCH (n:`THE FATHER`) RETURN count(n) > 0 AS node_exists:result:True +2024-10-29 13:36:32,025 - lightrag - INFO - _do_upsert_edge:query: + MATCH (source:`THE CHILDREN`) + WITH source + MATCH (target:`THE FATHER`) + MERGE (source)-[r:DIRECTED]->(target) + SET r += $properties + RETURN r + :result:None +2024-10-29 13:36:32,207 - lightrag - INFO - _check_edge_existence:query:MATCH (a:`THE CHILDREN`)-[r]-(b:`THE PORTER`) RETURN COUNT(r) > 0 AS edgeExists:result:False +2024-10-29 13:36:32,374 - lightrag - INFO - _check_node_exists:query:MATCH (n:`THE CHILDREN`) RETURN count(n) > 0 AS node_exists:result:True +2024-10-29 13:36:32,555 - lightrag - INFO - _check_node_exists:query:MATCH (n:`THE PORTER`) RETURN count(n) > 0 AS node_exists:result:True +2024-10-29 13:36:32,746 - lightrag - INFO - _do_upsert_edge:query: + MATCH (source:`THE CHILDREN`) + WITH source + MATCH (target:`THE PORTER`) + MERGE (source)-[r:DIRECTED]->(target) + SET r += $properties + RETURN r + :result:None +2024-10-29 13:36:32,931 - lightrag - INFO - _check_edge_existence:query:MATCH (a:`THE CHILDREN`)-[r]-(b:`THE HOUSE`) RETURN COUNT(r) > 0 AS edgeExists:result:False +2024-10-29 13:36:33,100 - lightrag - INFO - _check_node_exists:query:MATCH (n:`THE CHILDREN`) RETURN count(n) > 0 AS node_exists:result:True +2024-10-29 13:36:33,271 - lightrag - INFO - _check_node_exists:query:MATCH (n:`THE HOUSE`) RETURN count(n) > 0 AS node_exists:result:True +2024-10-29 13:36:33,465 - lightrag - INFO - _do_upsert_edge:query: + MATCH (source:`THE CHILDREN`) + WITH source + MATCH (target:`THE HOUSE`) + MERGE (source)-[r:DIRECTED]->(target) + SET r += $properties + RETURN r + :result:None +2024-10-29 13:36:33,649 - lightrag - INFO - _check_edge_existence:query:MATCH (a:`THE FATHER`)-[r]-(b:`THE MOTHER`) RETURN COUNT(r) > 0 AS edgeExists:result:False +2024-10-29 13:36:33,824 - lightrag - INFO - _check_node_exists:query:MATCH (n:`THE FATHER`) RETURN count(n) > 0 AS node_exists:result:True +2024-10-29 13:36:33,999 - lightrag - INFO - _check_node_exists:query:MATCH (n:`THE MOTHER`) RETURN count(n) > 0 AS node_exists:result:True +2024-10-29 13:36:34,183 - lightrag - INFO - _do_upsert_edge:query: + MATCH (source:`THE FATHER`) + WITH source + MATCH (target:`THE MOTHER`) + MERGE (source)-[r:DIRECTED]->(target) + SET r += $properties + RETURN r + :result:None +2024-10-29 13:36:34,369 - lightrag - INFO - _check_edge_existence:query:MATCH (a:`THE GHOST`)-[r]-(b:`THE SPIRIT`) RETURN COUNT(r) > 0 AS edgeExists:result:False +2024-10-29 13:36:34,543 - lightrag - INFO - _check_node_exists:query:MATCH (n:`THE GHOST`) RETURN count(n) > 0 AS node_exists:result:True +2024-10-29 13:36:34,723 - lightrag - INFO - _check_node_exists:query:MATCH (n:`THE SPIRIT`) RETURN count(n) > 0 AS node_exists:result:True +2024-10-29 13:36:34,912 - lightrag - INFO - _do_upsert_edge:query: + MATCH (source:`THE GHOST`) + WITH source + MATCH (target:`THE SPIRIT`) + MERGE (source)-[r:DIRECTED]->(target) + SET r += $properties + RETURN r + :result:None +2024-10-29 13:36:35,097 - lightrag - INFO - _check_edge_existence:query:MATCH (a:`GHOST OF CHRISTMAS PRESENT`)-[r]-(b:`SCROOGE`) RETURN COUNT(r) > 0 AS edgeExists:result:False +2024-10-29 13:36:35,269 - lightrag - INFO - _check_node_exists:query:MATCH (n:`GHOST OF CHRISTMAS PRESENT`) RETURN count(n) > 0 AS node_exists:result:True +2024-10-29 13:36:35,428 - lightrag - INFO - _check_node_exists:query:MATCH (n:`SCROOGE`) RETURN count(n) > 0 AS node_exists:result:True +2024-10-29 13:36:35,616 - lightrag - INFO - _do_upsert_edge:query: + MATCH (source:`GHOST OF CHRISTMAS PRESENT`) + WITH source + MATCH (target:`SCROOGE`) + MERGE (source)-[r:DIRECTED]->(target) + SET r += $properties + RETURN r + :result:None +2024-10-29 13:36:35,802 - lightrag - INFO - _check_edge_existence:query:MATCH (a:`GHOST OF CHRISTMAS PRESENT`)-[r]-(b:`TURKEY`) RETURN COUNT(r) > 0 AS edgeExists:result:False +2024-10-29 13:36:35,975 - lightrag - INFO - _check_node_exists:query:MATCH (n:`GHOST OF CHRISTMAS PRESENT`) RETURN count(n) > 0 AS node_exists:result:True +2024-10-29 13:36:36,150 - lightrag - INFO - _check_node_exists:query:MATCH (n:`TURKEY`) RETURN count(n) > 0 AS node_exists:result:True +2024-10-29 13:36:36,341 - lightrag - INFO - _do_upsert_edge:query: + MATCH (source:`GHOST OF CHRISTMAS PRESENT`) + WITH source + MATCH (target:`TURKEY`) + MERGE (source)-[r:DIRECTED]->(target) + SET r += $properties + RETURN r + :result:None +2024-10-29 13:36:36,528 - lightrag - INFO - _check_edge_existence:query:MATCH (a:`GHOST OF CHRISTMAS PRESENT`)-[r]-(b:`HOLLY`) RETURN COUNT(r) > 0 AS edgeExists:result:False +2024-10-29 13:36:36,693 - lightrag - INFO - _check_node_exists:query:MATCH (n:`GHOST OF CHRISTMAS PRESENT`) RETURN count(n) > 0 AS node_exists:result:True +2024-10-29 13:36:36,874 - lightrag - INFO - _check_node_exists:query:MATCH (n:`HOLLY`) RETURN count(n) > 0 AS node_exists:result:True +2024-10-29 13:36:37,067 - lightrag - INFO - _do_upsert_edge:query: + MATCH (source:`GHOST OF CHRISTMAS PRESENT`) + WITH source + MATCH (target:`HOLLY`) + MERGE (source)-[r:DIRECTED]->(target) + SET r += $properties + RETURN r + :result:None +2024-10-29 13:36:37,251 - lightrag - INFO - _check_edge_existence:query:MATCH (a:`GHOST OF CHRISTMAS PRESENT`)-[r]-(b:`IVY`) RETURN COUNT(r) > 0 AS edgeExists:result:False +2024-10-29 13:36:37,417 - lightrag - INFO - _check_node_exists:query:MATCH (n:`GHOST OF CHRISTMAS PRESENT`) RETURN count(n) > 0 AS node_exists:result:True +2024-10-29 13:36:37,587 - lightrag - INFO - _check_node_exists:query:MATCH (n:`IVY`) RETURN count(n) > 0 AS node_exists:result:True +2024-10-29 13:36:37,774 - lightrag - INFO - _do_upsert_edge:query: + MATCH (source:`GHOST OF CHRISTMAS PRESENT`) + WITH source + MATCH (target:`IVY`) + MERGE (source)-[r:DIRECTED]->(target) + SET r += $properties + RETURN r + :result:None +2024-10-29 13:36:37,958 - lightrag - INFO - _check_edge_existence:query:MATCH (a:`CITY`)-[r]-(b:`SCROOGE`) RETURN COUNT(r) > 0 AS edgeExists:result:False +2024-10-29 13:36:38,133 - lightrag - INFO - _check_node_exists:query:MATCH (n:`CITY`) RETURN count(n) > 0 AS node_exists:result:True +2024-10-29 13:36:38,294 - lightrag - INFO - _check_node_exists:query:MATCH (n:`SCROOGE`) RETURN count(n) > 0 AS node_exists:result:True +2024-10-29 13:36:38,477 - lightrag - INFO - _do_upsert_edge:query: + MATCH (source:`CITY`) + WITH source + MATCH (target:`SCROOGE`) + MERGE (source)-[r:DIRECTED]->(target) + SET r += $properties + RETURN r + :result:None +2024-10-29 13:36:38,657 - lightrag - INFO - _check_edge_existence:query:MATCH (a:`GHOST OF CHRISTMAS PRESENT`)-[r]-(b:`TURKEYS`) RETURN COUNT(r) > 0 AS edgeExists:result:False +2024-10-29 13:36:38,822 - lightrag - INFO - _check_node_exists:query:MATCH (n:`GHOST OF CHRISTMAS PRESENT`) RETURN count(n) > 0 AS node_exists:result:True +2024-10-29 13:36:38,998 - lightrag - INFO - _check_node_exists:query:MATCH (n:`TURKEYS`) RETURN count(n) > 0 AS node_exists:result:True +2024-10-29 13:36:39,192 - lightrag - INFO - _do_upsert_edge:query: + MATCH (source:`GHOST OF CHRISTMAS PRESENT`) + WITH source + MATCH (target:`TURKEYS`) + MERGE (source)-[r:DIRECTED]->(target) + SET r += $properties + RETURN r + :result:None +2024-10-29 13:36:39,375 - lightrag - INFO - _check_edge_existence:query:MATCH (a:`GEESE`)-[r]-(b:`GHOST OF CHRISTMAS PRESENT`) RETURN COUNT(r) > 0 AS edgeExists:result:False +2024-10-29 13:36:39,549 - lightrag - INFO - _check_node_exists:query:MATCH (n:`GEESE`) RETURN count(n) > 0 AS node_exists:result:True +2024-10-29 13:36:39,712 - lightrag - INFO - _check_node_exists:query:MATCH (n:`GHOST OF CHRISTMAS PRESENT`) RETURN count(n) > 0 AS node_exists:result:True +2024-10-29 13:36:39,899 - lightrag - INFO - _do_upsert_edge:query: + MATCH (source:`GEESE`) + WITH source + MATCH (target:`GHOST OF CHRISTMAS PRESENT`) + MERGE (source)-[r:DIRECTED]->(target) + SET r += $properties + RETURN r + :result:None +2024-10-29 13:36:40,081 - lightrag - INFO - _check_edge_existence:query:MATCH (a:`GAME`)-[r]-(b:`GHOST OF CHRISTMAS PRESENT`) RETURN COUNT(r) > 0 AS edgeExists:result:False +2024-10-29 13:36:40,259 - lightrag - INFO - _check_node_exists:query:MATCH (n:`GAME`) RETURN count(n) > 0 AS node_exists:result:True +2024-10-29 13:36:40,419 - lightrag - INFO - _check_node_exists:query:MATCH (n:`GHOST OF CHRISTMAS PRESENT`) RETURN count(n) > 0 AS node_exists:result:True +2024-10-29 13:36:40,600 - lightrag - INFO - _do_upsert_edge:query: + MATCH (source:`GAME`) + WITH source + MATCH (target:`GHOST OF CHRISTMAS PRESENT`) + MERGE (source)-[r:DIRECTED]->(target) + SET r += $properties + RETURN r + :result:None +2024-10-29 13:36:40,786 - lightrag - INFO - _check_edge_existence:query:MATCH (a:`BRAWN`)-[r]-(b:`GHOST OF CHRISTMAS PRESENT`) RETURN COUNT(r) > 0 AS edgeExists:result:False +2024-10-29 13:36:40,962 - lightrag - INFO - _check_node_exists:query:MATCH (n:`BRAWN`) RETURN count(n) > 0 AS node_exists:result:True +2024-10-29 13:36:41,129 - lightrag - INFO - _check_node_exists:query:MATCH (n:`GHOST OF CHRISTMAS PRESENT`) RETURN count(n) > 0 AS node_exists:result:True +2024-10-29 13:36:41,316 - lightrag - INFO - _do_upsert_edge:query: + MATCH (source:`BRAWN`) + WITH source + MATCH (target:`GHOST OF CHRISTMAS PRESENT`) + MERGE (source)-[r:DIRECTED]->(target) + SET r += $properties + RETURN r + :result:None +2024-10-29 13:36:41,497 - lightrag - INFO - _check_edge_existence:query:MATCH (a:`GHOST OF CHRISTMAS PRESENT`)-[r]-(b:`SUCKING-PIGS`) RETURN COUNT(r) > 0 AS edgeExists:result:False +2024-10-29 13:36:41,662 - lightrag - INFO - _check_node_exists:query:MATCH (n:`GHOST OF CHRISTMAS PRESENT`) RETURN count(n) > 0 AS node_exists:result:True +2024-10-29 13:36:41,836 - lightrag - INFO - _check_node_exists:query:MATCH (n:`SUCKING-PIGS`) RETURN count(n) > 0 AS node_exists:result:True +2024-10-29 13:36:42,023 - lightrag - INFO - _do_upsert_edge:query: + MATCH (source:`GHOST OF CHRISTMAS PRESENT`) + WITH source + MATCH (target:`SUCKING-PIGS`) + MERGE (source)-[r:DIRECTED]->(target) + SET r += $properties + RETURN r + :result:None +2024-10-29 13:36:42,211 - lightrag - INFO - _check_edge_existence:query:MATCH (a:`GHOST OF CHRISTMAS PRESENT`)-[r]-(b:`SAUSAGES`) RETURN COUNT(r) > 0 AS edgeExists:result:False +2024-10-29 13:36:42,372 - lightrag - INFO - _check_node_exists:query:MATCH (n:`GHOST OF CHRISTMAS PRESENT`) RETURN count(n) > 0 AS node_exists:result:True +2024-10-29 13:36:42,539 - lightrag - INFO - _check_node_exists:query:MATCH (n:`SAUSAGES`) RETURN count(n) > 0 AS node_exists:result:True +2024-10-29 13:36:42,717 - lightrag - INFO - _do_upsert_edge:query: + MATCH (source:`GHOST OF CHRISTMAS PRESENT`) + WITH source + MATCH (target:`SAUSAGES`) + MERGE (source)-[r:DIRECTED]->(target) + SET r += $properties + RETURN r + :result:None +2024-10-29 13:36:42,902 - lightrag - INFO - _check_edge_existence:query:MATCH (a:`GHOST OF CHRISTMAS PRESENT`)-[r]-(b:`MINCE-PIES`) RETURN COUNT(r) > 0 AS edgeExists:result:False +2024-10-29 13:36:43,066 - lightrag - INFO - _check_node_exists:query:MATCH (n:`GHOST OF CHRISTMAS PRESENT`) RETURN count(n) > 0 AS node_exists:result:True +2024-10-29 13:36:43,244 - lightrag - INFO - _check_node_exists:query:MATCH (n:`MINCE-PIES`) RETURN count(n) > 0 AS node_exists:result:True +2024-10-29 13:36:43,429 - lightrag - INFO - _do_upsert_edge:query: + MATCH (source:`GHOST OF CHRISTMAS PRESENT`) + WITH source + MATCH (target:`MINCE-PIES`) + MERGE (source)-[r:DIRECTED]->(target) + SET r += $properties + RETURN r + :result:None +2024-10-29 13:36:43,623 - lightrag - INFO - _check_edge_existence:query:MATCH (a:`GHOST OF CHRISTMAS PRESENT`)-[r]-(b:`PLUM-PUDDINGS`) RETURN COUNT(r) > 0 AS edgeExists:result:False +2024-10-29 13:36:43,789 - lightrag - INFO - _check_node_exists:query:MATCH (n:`GHOST OF CHRISTMAS PRESENT`) RETURN count(n) > 0 AS node_exists:result:True +2024-10-29 13:36:43,963 - lightrag - INFO - _check_node_exists:query:MATCH (n:`PLUM-PUDDINGS`) RETURN count(n) > 0 AS node_exists:result:True +2024-10-29 13:36:44,150 - lightrag - INFO - _do_upsert_edge:query: + MATCH (source:`GHOST OF CHRISTMAS PRESENT`) + WITH source + MATCH (target:`PLUM-PUDDINGS`) + MERGE (source)-[r:DIRECTED]->(target) + SET r += $properties + RETURN r + :result:None +2024-10-29 13:36:44,338 - lightrag - INFO - _check_edge_existence:query:MATCH (a:`BARRELS OF OYSTERS`)-[r]-(b:`GHOST OF CHRISTMAS PRESENT`) RETURN COUNT(r) > 0 AS edgeExists:result:False +2024-10-29 13:36:44,514 - lightrag - INFO - _check_node_exists:query:MATCH (n:`BARRELS OF OYSTERS`) RETURN count(n) > 0 AS node_exists:result:True +2024-10-29 13:36:44,683 - lightrag - INFO - _check_node_exists:query:MATCH (n:`GHOST OF CHRISTMAS PRESENT`) RETURN count(n) > 0 AS node_exists:result:True +2024-10-29 13:36:44,865 - lightrag - INFO - _do_upsert_edge:query: + MATCH (source:`BARRELS OF OYSTERS`) + WITH source + MATCH (target:`GHOST OF CHRISTMAS PRESENT`) + MERGE (source)-[r:DIRECTED]->(target) + SET r += $properties + RETURN r + :result:None +2024-10-29 13:36:45,050 - lightrag - INFO - _check_edge_existence:query:MATCH (a:`GHOST OF CHRISTMAS PRESENT`)-[r]-(b:`RED-HOT CHESTNUTS`) RETURN COUNT(r) > 0 AS edgeExists:result:False +2024-10-29 13:36:45,218 - lightrag - INFO - _check_node_exists:query:MATCH (n:`GHOST OF CHRISTMAS PRESENT`) RETURN count(n) > 0 AS node_exists:result:True +2024-10-29 13:36:45,393 - lightrag - INFO - _check_node_exists:query:MATCH (n:`RED-HOT CHESTNUTS`) RETURN count(n) > 0 AS node_exists:result:True +2024-10-29 13:36:45,572 - lightrag - INFO - _do_upsert_edge:query: + MATCH (source:`GHOST OF CHRISTMAS PRESENT`) + WITH source + MATCH (target:`RED-HOT CHESTNUTS`) + MERGE (source)-[r:DIRECTED]->(target) + SET r += $properties + RETURN r + :result:None +2024-10-29 13:36:45,754 - lightrag - INFO - _check_edge_existence:query:MATCH (a:`CHERRY-CHEEKED APPLES`)-[r]-(b:`GHOST OF CHRISTMAS PRESENT`) RETURN COUNT(r) > 0 AS edgeExists:result:False +2024-10-29 13:36:45,929 - lightrag - INFO - _check_node_exists:query:MATCH (n:`CHERRY-CHEEKED APPLES`) RETURN count(n) > 0 AS node_exists:result:True +2024-10-29 13:36:46,096 - lightrag - INFO - _check_node_exists:query:MATCH (n:`GHOST OF CHRISTMAS PRESENT`) RETURN count(n) > 0 AS node_exists:result:True +2024-10-29 13:36:46,288 - lightrag - INFO - _do_upsert_edge:query: + MATCH (source:`CHERRY-CHEEKED APPLES`) + WITH source + MATCH (target:`GHOST OF CHRISTMAS PRESENT`) + MERGE (source)-[r:DIRECTED]->(target) + SET r += $properties + RETURN r + :result:None +2024-10-29 13:36:46,469 - lightrag - INFO - _check_edge_existence:query:MATCH (a:`GHOST OF CHRISTMAS PRESENT`)-[r]-(b:`JUICY ORANGES`) RETURN COUNT(r) > 0 AS edgeExists:result:False +2024-10-29 13:36:46,628 - lightrag - INFO - _check_node_exists:query:MATCH (n:`GHOST OF CHRISTMAS PRESENT`) RETURN count(n) > 0 AS node_exists:result:True +2024-10-29 13:36:46,796 - lightrag - INFO - _check_node_exists:query:MATCH (n:`JUICY ORANGES`) RETURN count(n) > 0 AS node_exists:result:True +2024-10-29 13:36:46,982 - lightrag - INFO - _do_upsert_edge:query: + MATCH (source:`GHOST OF CHRISTMAS PRESENT`) + WITH source + MATCH (target:`JUICY ORANGES`) + MERGE (source)-[r:DIRECTED]->(target) + SET r += $properties + RETURN r + :result:None +2024-10-29 13:36:47,164 - lightrag - INFO - _check_edge_existence:query:MATCH (a:`GHOST OF CHRISTMAS PRESENT`)-[r]-(b:`LUSCIOUS PEARS`) RETURN COUNT(r) > 0 AS edgeExists:result:False +2024-10-29 13:36:47,329 - lightrag - INFO - _check_node_exists:query:MATCH (n:`GHOST OF CHRISTMAS PRESENT`) RETURN count(n) > 0 AS node_exists:result:True +2024-10-29 13:36:47,502 - lightrag - INFO - _check_node_exists:query:MATCH (n:`LUSCIOUS PEARS`) RETURN count(n) > 0 AS node_exists:result:True +2024-10-29 13:36:47,688 - lightrag - INFO - _do_upsert_edge:query: + MATCH (source:`GHOST OF CHRISTMAS PRESENT`) + WITH source + MATCH (target:`LUSCIOUS PEARS`) + MERGE (source)-[r:DIRECTED]->(target) + SET r += $properties + RETURN r + :result:None +2024-10-29 13:36:47,872 - lightrag - INFO - _check_edge_existence:query:MATCH (a:`GHOST OF CHRISTMAS PRESENT`)-[r]-(b:`IMMENSE TWELFTH-CAKES`) RETURN COUNT(r) > 0 AS edgeExists:result:False +2024-10-29 13:36:48,039 - lightrag - INFO - _check_node_exists:query:MATCH (n:`GHOST OF CHRISTMAS PRESENT`) RETURN count(n) > 0 AS node_exists:result:True +2024-10-29 13:36:48,214 - lightrag - INFO - _check_node_exists:query:MATCH (n:`IMMENSE TWELFTH-CAKES`) RETURN count(n) > 0 AS node_exists:result:True +2024-10-29 13:36:48,409 - lightrag - INFO - _do_upsert_edge:query: + MATCH (source:`GHOST OF CHRISTMAS PRESENT`) + WITH source + MATCH (target:`IMMENSE TWELFTH-CAKES`) + MERGE (source)-[r:DIRECTED]->(target) + SET r += $properties + RETURN r + :result:None +2024-10-29 13:36:48,590 - lightrag - INFO - _check_edge_existence:query:MATCH (a:`GHOST OF CHRISTMAS PRESENT`)-[r]-(b:`SEETHING BOWLS OF PUNCH`) RETURN COUNT(r) > 0 AS edgeExists:result:False +2024-10-29 13:36:48,751 - lightrag - INFO - _check_node_exists:query:MATCH (n:`GHOST OF CHRISTMAS PRESENT`) RETURN count(n) > 0 AS node_exists:result:True +2024-10-29 13:36:48,923 - lightrag - INFO - _check_node_exists:query:MATCH (n:`SEETHING BOWLS OF PUNCH`) RETURN count(n) > 0 AS node_exists:result:True +2024-10-29 13:36:49,112 - lightrag - INFO - _do_upsert_edge:query: + MATCH (source:`GHOST OF CHRISTMAS PRESENT`) + WITH source + MATCH (target:`SEETHING BOWLS OF PUNCH`) + MERGE (source)-[r:DIRECTED]->(target) + SET r += $properties + RETURN r + :result:None +2024-10-29 13:36:49,298 - lightrag - INFO - _check_edge_existence:query:MATCH (a:`GHOST OF CHRISTMAS PRESENT`)-[r]-(b:`SPIRIT`) RETURN COUNT(r) > 0 AS edgeExists:result:False +2024-10-29 13:36:49,461 - lightrag - INFO - _check_node_exists:query:MATCH (n:`GHOST OF CHRISTMAS PRESENT`) RETURN count(n) > 0 AS node_exists:result:True +2024-10-29 13:36:49,634 - lightrag - INFO - _check_node_exists:query:MATCH (n:`SPIRIT`) RETURN count(n) > 0 AS node_exists:result:True +2024-10-29 13:36:49,815 - lightrag - INFO - _do_upsert_edge:query: + MATCH (source:`GHOST OF CHRISTMAS PRESENT`) + WITH source + MATCH (target:`SPIRIT`) + MERGE (source)-[r:DIRECTED]->(target) + SET r += $properties + RETURN r + :result:None +2024-10-29 13:36:49,997 - lightrag - INFO - _check_edge_existence:query:MATCH (a:`CHRISTMAS`)-[r]-(b:`GREAT BRITAIN`) RETURN COUNT(r) > 0 AS edgeExists:result:False +2024-10-29 13:36:50,167 - lightrag - INFO - _check_node_exists:query:MATCH (n:`CHRISTMAS`) RETURN count(n) > 0 AS node_exists:result:True +2024-10-29 13:36:50,343 - lightrag - INFO - _check_node_exists:query:MATCH (n:`GREAT BRITAIN`) RETURN count(n) > 0 AS node_exists:result:True +2024-10-29 13:36:50,533 - lightrag - INFO - _do_upsert_edge:query: + MATCH (source:`CHRISTMAS`) + WITH source + MATCH (target:`GREAT BRITAIN`) + MERGE (source)-[r:DIRECTED]->(target) + SET r += $properties + RETURN r + :result:None +2024-10-29 13:36:50,714 - lightrag - INFO - _check_edge_existence:query:MATCH (a:`CHRISTMAS`)-[r]-(b:`THE GROCERS`) RETURN COUNT(r) > 0 AS edgeExists:result:False +2024-10-29 13:36:50,881 - lightrag - INFO - _check_node_exists:query:MATCH (n:`CHRISTMAS`) RETURN count(n) > 0 AS node_exists:result:True +2024-10-29 13:36:51,057 - lightrag - INFO - _check_node_exists:query:MATCH (n:`THE GROCERS`) RETURN count(n) > 0 AS node_exists:result:True +2024-10-29 13:36:51,236 - lightrag - INFO - _do_upsert_edge:query: + MATCH (source:`CHRISTMAS`) + WITH source + MATCH (target:`THE GROCERS`) + MERGE (source)-[r:DIRECTED]->(target) + SET r += $properties + RETURN r + :result:None +2024-10-29 13:36:51,421 - lightrag - INFO - _check_edge_existence:query:MATCH (a:`CHRISTMAS`)-[r]-(b:`HOLLY`) RETURN COUNT(r) > 0 AS edgeExists:result:False +2024-10-29 13:36:51,583 - lightrag - INFO - _check_node_exists:query:MATCH (n:`CHRISTMAS`) RETURN count(n) > 0 AS node_exists:result:True +2024-10-29 13:36:51,759 - lightrag - INFO - _check_node_exists:query:MATCH (n:`HOLLY`) RETURN count(n) > 0 AS node_exists:result:True +2024-10-29 13:36:51,944 - lightrag - INFO - _do_upsert_edge:query: + MATCH (source:`CHRISTMAS`) + WITH source + MATCH (target:`HOLLY`) + MERGE (source)-[r:DIRECTED]->(target) + SET r += $properties + RETURN r + :result:None +2024-10-29 13:36:52,130 - lightrag - INFO - _check_edge_existence:query:MATCH (a:`CHRISTMAS`)-[r]-(b:`MISTLETOE`) RETURN COUNT(r) > 0 AS edgeExists:result:False +2024-10-29 13:36:52,298 - lightrag - INFO - _check_node_exists:query:MATCH (n:`CHRISTMAS`) RETURN count(n) > 0 AS node_exists:result:True +2024-10-29 13:36:52,476 - lightrag - INFO - _check_node_exists:query:MATCH (n:`MISTLETOE`) RETURN count(n) > 0 AS node_exists:result:True +2024-10-29 13:36:52,661 - lightrag - INFO - _do_upsert_edge:query: + MATCH (source:`CHRISTMAS`) + WITH source + MATCH (target:`MISTLETOE`) + MERGE (source)-[r:DIRECTED]->(target) + SET r += $properties + RETURN r + :result:None +2024-10-29 13:36:52,842 - lightrag - INFO - _check_edge_existence:query:MATCH (a:`CHRISTMAS`)-[r]-(b:`TURKEYS`) RETURN COUNT(r) > 0 AS edgeExists:result:False +2024-10-29 13:36:53,006 - lightrag - INFO - _check_node_exists:query:MATCH (n:`CHRISTMAS`) RETURN count(n) > 0 AS node_exists:result:True +2024-10-29 13:36:53,183 - lightrag - INFO - _check_node_exists:query:MATCH (n:`TURKEYS`) RETURN count(n) > 0 AS node_exists:result:True +2024-10-29 13:36:53,371 - lightrag - INFO - _do_upsert_edge:query: + MATCH (source:`CHRISTMAS`) + WITH source + MATCH (target:`TURKEYS`) + MERGE (source)-[r:DIRECTED]->(target) + SET r += $properties + RETURN r + :result:None +2024-10-29 13:36:53,555 - lightrag - INFO - _check_edge_existence:query:MATCH (a:`CHRISTMAS`)-[r]-(b:`GEESE`) RETURN COUNT(r) > 0 AS edgeExists:result:False +2024-10-29 13:36:53,714 - lightrag - INFO - _check_node_exists:query:MATCH (n:`CHRISTMAS`) RETURN count(n) > 0 AS node_exists:result:True +2024-10-29 13:36:53,888 - lightrag - INFO - _check_node_exists:query:MATCH (n:`GEESE`) RETURN count(n) > 0 AS node_exists:result:True +2024-10-29 13:36:54,075 - lightrag - INFO - _do_upsert_edge:query: + MATCH (source:`CHRISTMAS`) + WITH source + MATCH (target:`GEESE`) + MERGE (source)-[r:DIRECTED]->(target) + SET r += $properties + RETURN r + :result:None +2024-10-29 13:36:54,260 - lightrag - INFO - _check_edge_existence:query:MATCH (a:`HOLLY`)-[r]-(b:`THE GROCERS`) RETURN COUNT(r) > 0 AS edgeExists:result:False +2024-10-29 13:36:54,429 - lightrag - INFO - _check_node_exists:query:MATCH (n:`HOLLY`) RETURN count(n) > 0 AS node_exists:result:True +2024-10-29 13:36:54,605 - lightrag - INFO - _check_node_exists:query:MATCH (n:`THE GROCERS`) RETURN count(n) > 0 AS node_exists:result:True +2024-10-29 13:36:54,790 - lightrag - INFO - _do_upsert_edge:query: + MATCH (source:`HOLLY`) + WITH source + MATCH (target:`THE GROCERS`) + MERGE (source)-[r:DIRECTED]->(target) + SET r += $properties + RETURN r + :result:None +2024-10-29 13:36:54,973 - lightrag - INFO - _check_edge_existence:query:MATCH (a:`MISTLETOE`)-[r]-(b:`THE GROCERS`) RETURN COUNT(r) > 0 AS edgeExists:result:False +2024-10-29 13:36:55,134 - lightrag - INFO - _check_node_exists:query:MATCH (n:`MISTLETOE`) RETURN count(n) > 0 AS node_exists:result:True +2024-10-29 13:36:55,303 - lightrag - INFO - _check_node_exists:query:MATCH (n:`THE GROCERS`) RETURN count(n) > 0 AS node_exists:result:True +2024-10-29 13:36:55,492 - lightrag - INFO - _do_upsert_edge:query: + MATCH (source:`MISTLETOE`) + WITH source + MATCH (target:`THE GROCERS`) + MERGE (source)-[r:DIRECTED]->(target) + SET r += $properties + RETURN r + :result:None +2024-10-29 13:36:55,669 - lightrag - INFO - _check_edge_existence:query:MATCH (a:`THE GROCERS`)-[r]-(b:`TURKEYS`) RETURN COUNT(r) > 0 AS edgeExists:result:False +2024-10-29 13:36:55,831 - lightrag - INFO - _check_node_exists:query:MATCH (n:`THE GROCERS`) RETURN count(n) > 0 AS node_exists:result:True +2024-10-29 13:36:56,006 - lightrag - INFO - _check_node_exists:query:MATCH (n:`TURKEYS`) RETURN count(n) > 0 AS node_exists:result:True +2024-10-29 13:36:56,186 - lightrag - INFO - _do_upsert_edge:query: + MATCH (source:`THE GROCERS`) + WITH source + MATCH (target:`TURKEYS`) + MERGE (source)-[r:DIRECTED]->(target) + SET r += $properties + RETURN r + :result:None +2024-10-29 13:36:56,369 - lightrag - INFO - _check_edge_existence:query:MATCH (a:`GEESE`)-[r]-(b:`THE GROCERS`) RETURN COUNT(r) > 0 AS edgeExists:result:False +2024-10-29 13:36:56,544 - lightrag - INFO - _check_node_exists:query:MATCH (n:`GEESE`) RETURN count(n) > 0 AS node_exists:result:True +2024-10-29 13:36:56,706 - lightrag - INFO - _check_node_exists:query:MATCH (n:`THE GROCERS`) RETURN count(n) > 0 AS node_exists:result:True +2024-10-29 13:36:56,894 - lightrag - INFO - _do_upsert_edge:query: + MATCH (source:`GEESE`) + WITH source + MATCH (target:`THE GROCERS`) + MERGE (source)-[r:DIRECTED]->(target) + SET r += $properties + RETURN r + :result:None +2024-10-29 13:36:57,077 - lightrag - INFO - _check_edge_existence:query:MATCH (a:`APPLES`)-[r]-(b:`CHRISTMAS`) RETURN COUNT(r) > 0 AS edgeExists:result:False +2024-10-29 13:36:57,248 - lightrag - INFO - _check_node_exists:query:MATCH (n:`APPLES`) RETURN count(n) > 0 AS node_exists:result:True +2024-10-29 13:36:57,413 - lightrag - INFO - _check_node_exists:query:MATCH (n:`CHRISTMAS`) RETURN count(n) > 0 AS node_exists:result:True +2024-10-29 13:36:57,597 - lightrag - INFO - _do_upsert_edge:query: + MATCH (source:`APPLES`) + WITH source + MATCH (target:`CHRISTMAS`) + MERGE (source)-[r:DIRECTED]->(target) + SET r += $properties + RETURN r + :result:None +2024-10-29 13:36:57,784 - lightrag - INFO - _check_edge_existence:query:MATCH (a:`CHRISTMAS`)-[r]-(b:`PEARS`) RETURN COUNT(r) > 0 AS edgeExists:result:False +2024-10-29 13:36:57,950 - lightrag - INFO - _check_node_exists:query:MATCH (n:`CHRISTMAS`) RETURN count(n) > 0 AS node_exists:result:True +2024-10-29 13:36:58,120 - lightrag - INFO - _check_node_exists:query:MATCH (n:`PEARS`) RETURN count(n) > 0 AS node_exists:result:True +2024-10-29 13:36:58,305 - lightrag - INFO - _do_upsert_edge:query: + MATCH (source:`CHRISTMAS`) + WITH source + MATCH (target:`PEARS`) + MERGE (source)-[r:DIRECTED]->(target) + SET r += $properties + RETURN r + :result:None +2024-10-29 13:36:58,499 - lightrag - INFO - _check_edge_existence:query:MATCH (a:`APPLES`)-[r]-(b:`THE GROCERS`) RETURN COUNT(r) > 0 AS edgeExists:result:False +2024-10-29 13:36:58,672 - lightrag - INFO - _check_node_exists:query:MATCH (n:`APPLES`) RETURN count(n) > 0 AS node_exists:result:True +2024-10-29 13:36:58,833 - lightrag - INFO - _check_node_exists:query:MATCH (n:`THE GROCERS`) RETURN count(n) > 0 AS node_exists:result:True +2024-10-29 13:36:59,017 - lightrag - INFO - _do_upsert_edge:query: + MATCH (source:`APPLES`) + WITH source + MATCH (target:`THE GROCERS`) + MERGE (source)-[r:DIRECTED]->(target) + SET r += $properties + RETURN r + :result:None +2024-10-29 13:36:59,202 - lightrag - INFO - _check_edge_existence:query:MATCH (a:`PEARS`)-[r]-(b:`THE GROCERS`) RETURN COUNT(r) > 0 AS edgeExists:result:False +2024-10-29 13:36:59,380 - lightrag - INFO - _check_node_exists:query:MATCH (n:`PEARS`) RETURN count(n) > 0 AS node_exists:result:True +2024-10-29 13:36:59,545 - lightrag - INFO - _check_node_exists:query:MATCH (n:`THE GROCERS`) RETURN count(n) > 0 AS node_exists:result:True +2024-10-29 13:36:59,734 - lightrag - INFO - _do_upsert_edge:query: + MATCH (source:`PEARS`) + WITH source + MATCH (target:`THE GROCERS`) + MERGE (source)-[r:DIRECTED]->(target) + SET r += $properties + RETURN r + :result:None +2024-10-29 13:36:59,924 - lightrag - INFO - _check_edge_existence:query:MATCH (a:`CHESTNUTS`)-[r]-(b:`CHRISTMAS`) RETURN COUNT(r) > 0 AS edgeExists:result:False +2024-10-29 13:37:00,100 - lightrag - INFO - _check_node_exists:query:MATCH (n:`CHESTNUTS`) RETURN count(n) > 0 AS node_exists:result:True +2024-10-29 13:37:00,264 - lightrag - INFO - _check_node_exists:query:MATCH (n:`CHRISTMAS`) RETURN count(n) > 0 AS node_exists:result:True +2024-10-29 13:37:00,452 - lightrag - INFO - _do_upsert_edge:query: + MATCH (source:`CHESTNUTS`) + WITH source + MATCH (target:`CHRISTMAS`) + MERGE (source)-[r:DIRECTED]->(target) + SET r += $properties + RETURN r + :result:None +2024-10-29 13:37:00,638 - lightrag - INFO - _check_edge_existence:query:MATCH (a:`CHESTNUTS`)-[r]-(b:`THE GROCERS`) RETURN COUNT(r) > 0 AS edgeExists:result:False +2024-10-29 13:37:00,810 - lightrag - INFO - _check_node_exists:query:MATCH (n:`CHESTNUTS`) RETURN count(n) > 0 AS node_exists:result:True +2024-10-29 13:37:00,974 - lightrag - INFO - _check_node_exists:query:MATCH (n:`THE GROCERS`) RETURN count(n) > 0 AS node_exists:result:True +2024-10-29 13:37:01,162 - lightrag - INFO - _do_upsert_edge:query: + MATCH (source:`CHESTNUTS`) + WITH source + MATCH (target:`THE GROCERS`) + MERGE (source)-[r:DIRECTED]->(target) + SET r += $properties + RETURN r + :result:None +2024-10-29 13:37:01,346 - lightrag - INFO - _check_edge_existence:query:MATCH (a:`CHRISTMAS`)-[r]-(b:`SPANISH ONIONS`) RETURN COUNT(r) > 0 AS edgeExists:result:False +2024-10-29 13:37:01,511 - lightrag - INFO - _check_node_exists:query:MATCH (n:`CHRISTMAS`) RETURN count(n) > 0 AS node_exists:result:True +2024-10-29 13:37:01,691 - lightrag - INFO - _check_node_exists:query:MATCH (n:`SPANISH ONIONS`) RETURN count(n) > 0 AS node_exists:result:True +2024-10-29 13:37:01,880 - lightrag - INFO - _do_upsert_edge:query: + MATCH (source:`CHRISTMAS`) + WITH source + MATCH (target:`SPANISH ONIONS`) + MERGE (source)-[r:DIRECTED]->(target) + SET r += $properties + RETURN r + :result:None +2024-10-29 13:37:02,064 - lightrag - INFO - _check_edge_existence:query:MATCH (a:`SPANISH ONIONS`)-[r]-(b:`THE GROCERS`) RETURN COUNT(r) > 0 AS edgeExists:result:False +2024-10-29 13:37:02,239 - lightrag - INFO - _check_node_exists:query:MATCH (n:`SPANISH ONIONS`) RETURN count(n) > 0 AS node_exists:result:True +2024-10-29 13:37:02,405 - lightrag - INFO - _check_node_exists:query:MATCH (n:`THE GROCERS`) RETURN count(n) > 0 AS node_exists:result:True +2024-10-29 13:37:02,594 - lightrag - INFO - _do_upsert_edge:query: + MATCH (source:`SPANISH ONIONS`) + WITH source + MATCH (target:`THE GROCERS`) + MERGE (source)-[r:DIRECTED]->(target) + SET r += $properties + RETURN r + :result:None +2024-10-29 13:37:02,782 - lightrag - INFO - _check_edge_existence:query:MATCH (a:`CHRISTMAS`)-[r]-(b:`FIGS`) RETURN COUNT(r) > 0 AS edgeExists:result:False +2024-10-29 13:37:02,943 - lightrag - INFO - _check_node_exists:query:MATCH (n:`CHRISTMAS`) RETURN count(n) > 0 AS node_exists:result:True +2024-10-29 13:37:03,114 - lightrag - INFO - _check_node_exists:query:MATCH (n:`FIGS`) RETURN count(n) > 0 AS node_exists:result:True +2024-10-29 13:37:03,306 - lightrag - INFO - _do_upsert_edge:query: + MATCH (source:`CHRISTMAS`) + WITH source + MATCH (target:`FIGS`) + MERGE (source)-[r:DIRECTED]->(target) + SET r += $properties + RETURN r + :result:None +2024-10-29 13:37:03,489 - lightrag - INFO - _check_edge_existence:query:MATCH (a:`FIGS`)-[r]-(b:`THE GROCERS`) RETURN COUNT(r) > 0 AS edgeExists:result:False +2024-10-29 13:37:03,669 - lightrag - INFO - _check_node_exists:query:MATCH (n:`FIGS`) RETURN count(n) > 0 AS node_exists:result:True +2024-10-29 13:37:03,835 - lightrag - INFO - _check_node_exists:query:MATCH (n:`THE GROCERS`) RETURN count(n) > 0 AS node_exists:result:True +2024-10-29 13:37:04,020 - lightrag - INFO - _do_upsert_edge:query: + MATCH (source:`FIGS`) + WITH source + MATCH (target:`THE GROCERS`) + MERGE (source)-[r:DIRECTED]->(target) + SET r += $properties + RETURN r + :result:None +2024-10-29 13:37:04,207 - lightrag - INFO - _check_edge_existence:query:MATCH (a:`CHRISTMAS`)-[r]-(b:`FRENCH PLUMS`) RETURN COUNT(r) > 0 AS edgeExists:result:False +2024-10-29 13:37:04,374 - lightrag - INFO - _check_node_exists:query:MATCH (n:`CHRISTMAS`) RETURN count(n) > 0 AS node_exists:result:True +2024-10-29 13:37:04,554 - lightrag - INFO - _check_node_exists:query:MATCH (n:`FRENCH PLUMS`) RETURN count(n) > 0 AS node_exists:result:True +2024-10-29 13:37:04,747 - lightrag - INFO - _do_upsert_edge:query: + MATCH (source:`CHRISTMAS`) + WITH source + MATCH (target:`FRENCH PLUMS`) + MERGE (source)-[r:DIRECTED]->(target) + SET r += $properties + RETURN r + :result:None +2024-10-29 13:37:04,928 - lightrag - INFO - _check_edge_existence:query:MATCH (a:`FRENCH PLUMS`)-[r]-(b:`THE GROCERS`) RETURN COUNT(r) > 0 AS edgeExists:result:False +2024-10-29 13:37:05,096 - lightrag - INFO - _check_node_exists:query:MATCH (n:`FRENCH PLUMS`) RETURN count(n) > 0 AS node_exists:result:True +2024-10-29 13:37:05,261 - lightrag - INFO - _check_node_exists:query:MATCH (n:`THE GROCERS`) RETURN count(n) > 0 AS node_exists:result:True +2024-10-29 13:37:05,446 - lightrag - INFO - _do_upsert_edge:query: + MATCH (source:`FRENCH PLUMS`) + WITH source + MATCH (target:`THE GROCERS`) + MERGE (source)-[r:DIRECTED]->(target) + SET r += $properties + RETURN r + :result:None +2024-10-29 13:37:05,634 - lightrag - INFO - _check_edge_existence:query:MATCH (a:`BOB CRATCHIT`)-[r]-(b:`MRS. CRATCHIT`) RETURN COUNT(r) > 0 AS edgeExists:result:False +2024-10-29 13:37:05,809 - lightrag - INFO - _check_node_exists:query:MATCH (n:`BOB CRATCHIT`) RETURN count(n) > 0 AS node_exists:result:True +2024-10-29 13:37:05,980 - lightrag - INFO - _check_node_exists:query:MATCH (n:`MRS. CRATCHIT`) RETURN count(n) > 0 AS node_exists:result:True +2024-10-29 13:37:06,164 - lightrag - INFO - _do_upsert_edge:query: + MATCH (source:`BOB CRATCHIT`) + WITH source + MATCH (target:`MRS. CRATCHIT`) + MERGE (source)-[r:DIRECTED]->(target) + SET r += $properties + RETURN r + :result:None +2024-10-29 13:37:06,352 - lightrag - INFO - _check_edge_existence:query:MATCH (a:`MRS. CRATCHIT`)-[r]-(b:`PETER CRATCHIT`) RETURN COUNT(r) > 0 AS edgeExists:result:False +2024-10-29 13:37:06,529 - lightrag - INFO - _check_node_exists:query:MATCH (n:`MRS. CRATCHIT`) RETURN count(n) > 0 AS node_exists:result:True +2024-10-29 13:37:06,701 - lightrag - INFO - _check_node_exists:query:MATCH (n:`PETER CRATCHIT`) RETURN count(n) > 0 AS node_exists:result:True +2024-10-29 13:37:06,890 - lightrag - INFO - _do_upsert_edge:query: + MATCH (source:`MRS. CRATCHIT`) + WITH source + MATCH (target:`PETER CRATCHIT`) + MERGE (source)-[r:DIRECTED]->(target) + SET r += $properties + RETURN r + :result:None +2024-10-29 13:37:07,074 - lightrag - INFO - _check_edge_existence:query:MATCH (a:`SCROOGE`)-[r]-(b:`THE GHOST OF CHRISTMAS PRESENT`) RETURN COUNT(r) > 0 AS edgeExists:result:False +2024-10-29 13:37:07,236 - lightrag - INFO - _check_node_exists:query:MATCH (n:`SCROOGE`) RETURN count(n) > 0 AS node_exists:result:True +2024-10-29 13:37:07,415 - lightrag - INFO - _check_node_exists:query:MATCH (n:`THE GHOST OF CHRISTMAS PRESENT`) RETURN count(n) > 0 AS node_exists:result:True +2024-10-29 13:37:07,601 - lightrag - INFO - _do_upsert_edge:query: + MATCH (source:`SCROOGE`) + WITH source + MATCH (target:`THE GHOST OF CHRISTMAS PRESENT`) + MERGE (source)-[r:DIRECTED]->(target) + SET r += $properties + RETURN r + :result:None +2024-10-29 13:37:07,785 - lightrag - INFO - _check_edge_existence:query:MATCH (a:`BAKER'S SHOPS`)-[r]-(b:`CHRISTMAS DAY`) RETURN COUNT(r) > 0 AS edgeExists:result:False +2024-10-29 13:37:07,956 - lightrag - INFO - _check_node_exists:query:MATCH (n:`BAKER'S SHOPS`) RETURN count(n) > 0 AS node_exists:result:True +2024-10-29 13:37:08,130 - lightrag - INFO - _check_node_exists:query:MATCH (n:`CHRISTMAS DAY`) RETURN count(n) > 0 AS node_exists:result:True +2024-10-29 13:37:08,312 - lightrag - INFO - _do_upsert_edge:query: + MATCH (source:`BAKER'S SHOPS`) + WITH source + MATCH (target:`CHRISTMAS DAY`) + MERGE (source)-[r:DIRECTED]->(target) + SET r += $properties + RETURN r + :result:None +2024-10-29 13:37:08,492 - lightrag - INFO - _check_edge_existence:query:MATCH (a:`BOB CRATCHIT`)-[r]-(b:`TINY TIM`) RETURN COUNT(r) > 0 AS edgeExists:result:False +2024-10-29 13:37:08,673 - lightrag - INFO - _check_node_exists:query:MATCH (n:`BOB CRATCHIT`) RETURN count(n) > 0 AS node_exists:result:True +2024-10-29 13:37:08,851 - lightrag - INFO - _check_node_exists:query:MATCH (n:`TINY TIM`) RETURN count(n) > 0 AS node_exists:result:True +2024-10-29 13:37:09,035 - lightrag - INFO - _do_upsert_edge:query: + MATCH (source:`BOB CRATCHIT`) + WITH source + MATCH (target:`TINY TIM`) + MERGE (source)-[r:DIRECTED]->(target) + SET r += $properties + RETURN r + :result:None +2024-10-29 13:37:09,221 - lightrag - INFO - _check_edge_existence:query:MATCH (a:`CRATCHIT FAMILY`)-[r]-(b:`TINY TIM`) RETURN COUNT(r) > 0 AS edgeExists:result:False +2024-10-29 13:37:09,396 - lightrag - INFO - _check_node_exists:query:MATCH (n:`CRATCHIT FAMILY`) RETURN count(n) > 0 AS node_exists:result:True +2024-10-29 13:37:09,569 - lightrag - INFO - _check_node_exists:query:MATCH (n:`TINY TIM`) RETURN count(n) > 0 AS node_exists:result:True +2024-10-29 13:37:09,755 - lightrag - INFO - _do_upsert_edge:query: + MATCH (source:`CRATCHIT FAMILY`) + WITH source + MATCH (target:`TINY TIM`) + MERGE (source)-[r:DIRECTED]->(target) + SET r += $properties + RETURN r + :result:None +2024-10-29 13:37:09,941 - lightrag - INFO - _check_edge_existence:query:MATCH (a:`BOB CRATCHIT`)-[r]-(b:`MARTHA CRATCHIT`) RETURN COUNT(r) > 0 AS edgeExists:result:False +2024-10-29 13:37:10,118 - lightrag - INFO - _check_node_exists:query:MATCH (n:`BOB CRATCHIT`) RETURN count(n) > 0 AS node_exists:result:True +2024-10-29 13:37:10,293 - lightrag - INFO - _check_node_exists:query:MATCH (n:`MARTHA CRATCHIT`) RETURN count(n) > 0 AS node_exists:result:True +2024-10-29 13:37:10,480 - lightrag - INFO - _do_upsert_edge:query: + MATCH (source:`BOB CRATCHIT`) + WITH source + MATCH (target:`MARTHA CRATCHIT`) + MERGE (source)-[r:DIRECTED]->(target) + SET r += $properties + RETURN r + :result:None +2024-10-29 13:37:10,663 - lightrag - INFO - _check_edge_existence:query:MATCH (a:`CHRISTMAS DAY`)-[r]-(b:`CRATCHIT FAMILY`) RETURN COUNT(r) > 0 AS edgeExists:result:False +2024-10-29 13:37:10,882 - lightrag - INFO - _check_node_exists:query:MATCH (n:`CHRISTMAS DAY`) RETURN count(n) > 0 AS node_exists:result:True +2024-10-29 13:37:11,054 - lightrag - INFO - _check_node_exists:query:MATCH (n:`CRATCHIT FAMILY`) RETURN count(n) > 0 AS node_exists:result:True +2024-10-29 13:37:11,240 - lightrag - INFO - _do_upsert_edge:query: + MATCH (source:`CHRISTMAS DAY`) + WITH source + MATCH (target:`CRATCHIT FAMILY`) + MERGE (source)-[r:DIRECTED]->(target) + SET r += $properties + RETURN r + :result:None +2024-10-29 13:37:11,435 - lightrag - INFO - _check_edge_existence:query:MATCH (a:`CRATCHIT FAMILY`)-[r]-(b:`MASTER PETER CRATCHIT`) RETURN COUNT(r) > 0 AS edgeExists:result:False +2024-10-29 13:37:11,614 - lightrag - INFO - _check_node_exists:query:MATCH (n:`CRATCHIT FAMILY`) RETURN count(n) > 0 AS node_exists:result:True +2024-10-29 13:37:11,787 - lightrag - INFO - _check_node_exists:query:MATCH (n:`MASTER PETER CRATCHIT`) RETURN count(n) > 0 AS node_exists:result:True +2024-10-29 13:37:11,976 - lightrag - INFO - _do_upsert_edge:query: + MATCH (source:`CRATCHIT FAMILY`) + WITH source + MATCH (target:`MASTER PETER CRATCHIT`) + MERGE (source)-[r:DIRECTED]->(target) + SET r += $properties + RETURN r + :result:None +2024-10-29 13:37:12,160 - lightrag - INFO - _check_edge_existence:query:MATCH (a:`BELINDA CRATCHIT`)-[r]-(b:`CRATCHIT FAMILY`) RETURN COUNT(r) > 0 AS edgeExists:result:False +2024-10-29 13:37:12,334 - lightrag - INFO - _check_node_exists:query:MATCH (n:`BELINDA CRATCHIT`) RETURN count(n) > 0 AS node_exists:result:True +2024-10-29 13:37:12,498 - lightrag - INFO - _check_node_exists:query:MATCH (n:`CRATCHIT FAMILY`) RETURN count(n) > 0 AS node_exists:result:True +2024-10-29 13:37:12,682 - lightrag - INFO - _do_upsert_edge:query: + MATCH (source:`BELINDA CRATCHIT`) + WITH source + MATCH (target:`CRATCHIT FAMILY`) + MERGE (source)-[r:DIRECTED]->(target) + SET r += $properties + RETURN r + :result:None +2024-10-29 13:37:12,867 - lightrag - INFO - _check_edge_existence:query:MATCH (a:`CRATCHIT FAMILY`)-[r]-(b:`MRS. CRATCHIT`) RETURN COUNT(r) > 0 AS edgeExists:result:False +2024-10-29 13:37:13,029 - lightrag - INFO - _check_node_exists:query:MATCH (n:`CRATCHIT FAMILY`) RETURN count(n) > 0 AS node_exists:result:True +2024-10-29 13:37:13,199 - lightrag - INFO - _check_node_exists:query:MATCH (n:`MRS. CRATCHIT`) RETURN count(n) > 0 AS node_exists:result:True +2024-10-29 13:37:13,394 - lightrag - INFO - _do_upsert_edge:query: + MATCH (source:`CRATCHIT FAMILY`) + WITH source + MATCH (target:`MRS. CRATCHIT`) + MERGE (source)-[r:DIRECTED]->(target) + SET r += $properties + RETURN r + :result:None +2024-10-29 13:37:13,578 - lightrag - INFO - _check_edge_existence:query:MATCH (a:`CRATCHIT FAMILY`)-[r]-(b:`THE GOOSE`) RETURN COUNT(r) > 0 AS edgeExists:result:False +2024-10-29 13:37:13,743 - lightrag - INFO - _check_node_exists:query:MATCH (n:`CRATCHIT FAMILY`) RETURN count(n) > 0 AS node_exists:result:True +2024-10-29 13:37:13,921 - lightrag - INFO - _check_node_exists:query:MATCH (n:`THE GOOSE`) RETURN count(n) > 0 AS node_exists:result:True +2024-10-29 13:37:14,102 - lightrag - INFO - _do_upsert_edge:query: + MATCH (source:`CRATCHIT FAMILY`) + WITH source + MATCH (target:`THE GOOSE`) + MERGE (source)-[r:DIRECTED]->(target) + SET r += $properties + RETURN r + :result:None +2024-10-29 13:37:14,288 - lightrag - INFO - _check_edge_existence:query:MATCH (a:`CHRISTMAS PUDDING`)-[r]-(b:`MRS. CRATCHIT`) RETURN COUNT(r) > 0 AS edgeExists:result:False +2024-10-29 13:37:14,466 - lightrag - INFO - _check_node_exists:query:MATCH (n:`CHRISTMAS PUDDING`) RETURN count(n) > 0 AS node_exists:result:True +2024-10-29 13:37:14,627 - lightrag - INFO - _check_node_exists:query:MATCH (n:`MRS. CRATCHIT`) RETURN count(n) > 0 AS node_exists:result:True +2024-10-29 13:37:14,811 - lightrag - INFO - _do_upsert_edge:query: + MATCH (source:`CHRISTMAS PUDDING`) + WITH source + MATCH (target:`MRS. CRATCHIT`) + MERGE (source)-[r:DIRECTED]->(target) + SET r += $properties + RETURN r + :result:None +2024-10-29 13:37:15,001 - lightrag - INFO - _check_edge_existence:query:MATCH (a:`CHRISTMAS PUDDING`)-[r]-(b:`CRATCHIT FAMILY`) RETURN COUNT(r) > 0 AS edgeExists:result:False +2024-10-29 13:37:15,178 - lightrag - INFO - _check_node_exists:query:MATCH (n:`CHRISTMAS PUDDING`) RETURN count(n) > 0 AS node_exists:result:True +2024-10-29 13:37:15,341 - lightrag - INFO - _check_node_exists:query:MATCH (n:`CRATCHIT FAMILY`) RETURN count(n) > 0 AS node_exists:result:True +2024-10-29 13:37:15,529 - lightrag - INFO - _do_upsert_edge:query: + MATCH (source:`CHRISTMAS PUDDING`) + WITH source + MATCH (target:`CRATCHIT FAMILY`) + MERGE (source)-[r:DIRECTED]->(target) + SET r += $properties + RETURN r + :result:None +2024-10-29 13:37:15,712 - lightrag - INFO - _check_edge_existence:query:MATCH (a:`SCROOGE`)-[r]-(b:`TINY TIM`) RETURN COUNT(r) > 0 AS edgeExists:result:False +2024-10-29 13:37:15,877 - lightrag - INFO - _check_node_exists:query:MATCH (n:`SCROOGE`) RETURN count(n) > 0 AS node_exists:result:True +2024-10-29 13:37:16,051 - lightrag - INFO - _check_node_exists:query:MATCH (n:`TINY TIM`) RETURN count(n) > 0 AS node_exists:result:True +2024-10-29 13:37:16,234 - lightrag - INFO - _do_upsert_edge:query: + MATCH (source:`SCROOGE`) + WITH source + MATCH (target:`TINY TIM`) + MERGE (source)-[r:DIRECTED]->(target) + SET r += $properties + RETURN r + :result:None +2024-10-29 13:37:16,426 - lightrag - INFO - _check_edge_existence:query:MATCH (a:`MRS. CRATCHIT`)-[r]-(b:`SCROOGE`) RETURN COUNT(r) > 0 AS edgeExists:result:False +2024-10-29 13:37:16,589 - lightrag - INFO - _check_node_exists:query:MATCH (n:`MRS. CRATCHIT`) RETURN count(n) > 0 AS node_exists:result:True +2024-10-29 13:37:16,757 - lightrag - INFO - _check_node_exists:query:MATCH (n:`SCROOGE`) RETURN count(n) > 0 AS node_exists:result:True +2024-10-29 13:37:16,942 - lightrag - INFO - _do_upsert_edge:query: + MATCH (source:`MRS. CRATCHIT`) + WITH source + MATCH (target:`SCROOGE`) + MERGE (source)-[r:DIRECTED]->(target) + SET r += $properties + RETURN r + :result:None +2024-10-29 13:37:17,121 - lightrag - INFO - _check_edge_existence:query:MATCH (a:`CHRISTMAS DAY`)-[r]-(b:`THE SPIRIT`) RETURN COUNT(r) > 0 AS edgeExists:result:False +2024-10-29 13:37:17,293 - lightrag - INFO - _check_node_exists:query:MATCH (n:`CHRISTMAS DAY`) RETURN count(n) > 0 AS node_exists:result:True +2024-10-29 13:37:17,468 - lightrag - INFO - _check_node_exists:query:MATCH (n:`THE SPIRIT`) RETURN count(n) > 0 AS node_exists:result:True +2024-10-29 13:37:17,657 - lightrag - INFO - _do_upsert_edge:query: + MATCH (source:`CHRISTMAS DAY`) + WITH source + MATCH (target:`THE SPIRIT`) + MERGE (source)-[r:DIRECTED]->(target) + SET r += $properties + RETURN r + :result:None +2024-10-29 13:37:17,840 - lightrag - INFO - _check_edge_existence:query:MATCH (a:`BOB CRATCHIT`)-[r]-(b:`MASTER PETER`) RETURN COUNT(r) > 0 AS edgeExists:result:False +2024-10-29 13:37:18,014 - lightrag - INFO - _check_node_exists:query:MATCH (n:`BOB CRATCHIT`) RETURN count(n) > 0 AS node_exists:result:True +2024-10-29 13:37:18,190 - lightrag - INFO - _check_node_exists:query:MATCH (n:`MASTER PETER`) RETURN count(n) > 0 AS node_exists:result:True +2024-10-29 13:37:18,383 - lightrag - INFO - _do_upsert_edge:query: + MATCH (source:`BOB CRATCHIT`) + WITH source + MATCH (target:`MASTER PETER`) + MERGE (source)-[r:DIRECTED]->(target) + SET r += $properties + RETURN r + :result:None +2024-10-29 13:37:18,570 - lightrag - INFO - _check_edge_existence:query:MATCH (a:`CRATCHIT FAMILY`)-[r]-(b:`MARTHA`) RETURN COUNT(r) > 0 AS edgeExists:result:False +2024-10-29 13:37:18,735 - lightrag - INFO - _check_node_exists:query:MATCH (n:`CRATCHIT FAMILY`) RETURN count(n) > 0 AS node_exists:result:True +2024-10-29 13:37:18,917 - lightrag - INFO - _check_node_exists:query:MATCH (n:`MARTHA`) RETURN count(n) > 0 AS node_exists:result:True +2024-10-29 13:37:19,099 - lightrag - INFO - _do_upsert_edge:query: + MATCH (source:`CRATCHIT FAMILY`) + WITH source + MATCH (target:`MARTHA`) + MERGE (source)-[r:DIRECTED]->(target) + SET r += $properties + RETURN r + :result:None +2024-10-29 13:37:19,281 - lightrag - INFO - _check_edge_existence:query:MATCH (a:`MARTHA`)-[r]-(b:`TINY TIM`) RETURN COUNT(r) > 0 AS edgeExists:result:False +2024-10-29 13:37:19,460 - lightrag - INFO - _check_node_exists:query:MATCH (n:`MARTHA`) RETURN count(n) > 0 AS node_exists:result:True +2024-10-29 13:37:19,640 - lightrag - INFO - _check_node_exists:query:MATCH (n:`TINY TIM`) RETURN count(n) > 0 AS node_exists:result:True +2024-10-29 13:37:19,823 - lightrag - INFO - _do_upsert_edge:query: + MATCH (source:`MARTHA`) + WITH source + MATCH (target:`TINY TIM`) + MERGE (source)-[r:DIRECTED]->(target) + SET r += $properties + RETURN r + :result:None +2024-10-29 13:37:20,012 - lightrag - INFO - _check_edge_existence:query:MATCH (a:`MARTHA`)-[r]-(b:`THE LORD`) RETURN COUNT(r) > 0 AS edgeExists:result:False +2024-10-29 13:37:20,175 - lightrag - INFO - _check_node_exists:query:MATCH (n:`MARTHA`) RETURN count(n) > 0 AS node_exists:result:True +2024-10-29 13:37:20,347 - lightrag - INFO - _check_node_exists:query:MATCH (n:`THE LORD`) RETURN count(n) > 0 AS node_exists:result:True +2024-10-29 13:37:20,543 - lightrag - INFO - _do_upsert_edge:query: + MATCH (source:`MARTHA`) + WITH source + MATCH (target:`THE LORD`) + MERGE (source)-[r:DIRECTED]->(target) + SET r += $properties + RETURN r + :result:None +2024-10-29 13:37:20,728 - lightrag - INFO - _check_edge_existence:query:MATCH (a:`MARTHA`)-[r]-(b:`THE COUNTESS`) RETURN COUNT(r) > 0 AS edgeExists:result:False +2024-10-29 13:37:20,895 - lightrag - INFO - _check_node_exists:query:MATCH (n:`MARTHA`) RETURN count(n) > 0 AS node_exists:result:True +2024-10-29 13:37:21,072 - lightrag - INFO - _check_node_exists:query:MATCH (n:`THE COUNTESS`) RETURN count(n) > 0 AS node_exists:result:True +2024-10-29 13:37:21,252 - lightrag - INFO - _do_upsert_edge:query: + MATCH (source:`MARTHA`) + WITH source + MATCH (target:`THE COUNTESS`) + MERGE (source)-[r:DIRECTED]->(target) + SET r += $properties + RETURN r + :result:None +2024-10-29 13:37:21,446 - lightrag - INFO - _check_edge_existence:query:MATCH (a:`CHRISTMAS FEAST`)-[r]-(b:`CRATCHIT FAMILY`) RETURN COUNT(r) > 0 AS edgeExists:result:False +2024-10-29 13:37:21,621 - lightrag - INFO - _check_node_exists:query:MATCH (n:`CHRISTMAS FEAST`) RETURN count(n) > 0 AS node_exists:result:True +2024-10-29 13:37:21,787 - lightrag - INFO - _check_node_exists:query:MATCH (n:`CRATCHIT FAMILY`) RETURN count(n) > 0 AS node_exists:result:True +2024-10-29 13:37:21,976 - lightrag - INFO - _do_upsert_edge:query: + MATCH (source:`CHRISTMAS FEAST`) + WITH source + MATCH (target:`CRATCHIT FAMILY`) + MERGE (source)-[r:DIRECTED]->(target) + SET r += $properties + RETURN r + :result:None +2024-10-29 13:37:22,173 - lightrag - INFO - _check_edge_existence:query:MATCH (a:`THE MINERS`)-[r]-(b:`THE OLD MAN`) RETURN COUNT(r) > 0 AS edgeExists:result:False +2024-10-29 13:37:22,349 - lightrag - INFO - _check_node_exists:query:MATCH (n:`THE MINERS`) RETURN count(n) > 0 AS node_exists:result:True +2024-10-29 13:37:22,524 - lightrag - INFO - _check_node_exists:query:MATCH (n:`THE OLD MAN`) RETURN count(n) > 0 AS node_exists:result:True +2024-10-29 13:37:22,710 - lightrag - INFO - _do_upsert_edge:query: + MATCH (source:`THE MINERS`) + WITH source + MATCH (target:`THE OLD MAN`) + MERGE (source)-[r:DIRECTED]->(target) + SET r += $properties + RETURN r + :result:None +2024-10-29 13:37:22,894 - lightrag - INFO - _check_edge_existence:query:MATCH (a:`CHRISTMAS`)-[r]-(b:`THE LAMPLIGHTER`) RETURN COUNT(r) > 0 AS edgeExists:result:False +2024-10-29 13:37:23,058 - lightrag - INFO - _check_node_exists:query:MATCH (n:`CHRISTMAS`) RETURN count(n) > 0 AS node_exists:result:True +2024-10-29 13:37:23,230 - lightrag - INFO - _check_node_exists:query:MATCH (n:`THE LAMPLIGHTER`) RETURN count(n) > 0 AS node_exists:result:True +2024-10-29 13:37:23,414 - lightrag - INFO - _do_upsert_edge:query: + MATCH (source:`CHRISTMAS`) + WITH source + MATCH (target:`THE LAMPLIGHTER`) + MERGE (source)-[r:DIRECTED]->(target) + SET r += $properties + RETURN r + :result:None +2024-10-29 13:37:23,600 - lightrag - INFO - _check_edge_existence:query:MATCH (a:`THE LIGHTHOUSE`)-[r]-(b:`THE SHIP`) RETURN COUNT(r) > 0 AS edgeExists:result:False +2024-10-29 13:37:23,779 - lightrag - INFO - _check_node_exists:query:MATCH (n:`THE LIGHTHOUSE`) RETURN count(n) > 0 AS node_exists:result:True +2024-10-29 13:37:23,959 - lightrag - INFO - _check_node_exists:query:MATCH (n:`THE SHIP`) RETURN count(n) > 0 AS node_exists:result:True +2024-10-29 13:37:24,146 - lightrag - INFO - _do_upsert_edge:query: + MATCH (source:`THE LIGHTHOUSE`) + WITH source + MATCH (target:`THE SHIP`) + MERGE (source)-[r:DIRECTED]->(target) + SET r += $properties + RETURN r + :result:None +2024-10-29 13:37:24,328 - lightrag - INFO - _check_edge_existence:query:MATCH (a:`THE CHEERFUL COMPANY`)-[r]-(b:`THE OLD MAN`) RETURN COUNT(r) > 0 AS edgeExists:result:False +2024-10-29 13:37:24,501 - lightrag - INFO - _check_node_exists:query:MATCH (n:`THE CHEERFUL COMPANY`) RETURN count(n) > 0 AS node_exists:result:True +2024-10-29 13:37:24,675 - lightrag - INFO - _check_node_exists:query:MATCH (n:`THE OLD MAN`) RETURN count(n) > 0 AS node_exists:result:True +2024-10-29 13:37:24,867 - lightrag - INFO - _do_upsert_edge:query: + MATCH (source:`THE CHEERFUL COMPANY`) + WITH source + MATCH (target:`THE OLD MAN`) + MERGE (source)-[r:DIRECTED]->(target) + SET r += $properties + RETURN r + :result:None +2024-10-29 13:37:25,056 - lightrag - INFO - _check_edge_existence:query:MATCH (a:`THE FROZEN MOOR`)-[r]-(b:`THE MINERS`) RETURN COUNT(r) > 0 AS edgeExists:result:False +2024-10-29 13:37:25,227 - lightrag - INFO - _check_node_exists:query:MATCH (n:`THE FROZEN MOOR`) RETURN count(n) > 0 AS node_exists:result:True +2024-10-29 13:37:25,418 - lightrag - INFO - _check_node_exists:query:MATCH (n:`THE MINERS`) RETURN count(n) > 0 AS node_exists:result:True +2024-10-29 13:37:25,606 - lightrag - INFO - _do_upsert_edge:query: + MATCH (source:`THE FROZEN MOOR`) + WITH source + MATCH (target:`THE MINERS`) + MERGE (source)-[r:DIRECTED]->(target) + SET r += $properties + RETURN r + :result:None +2024-10-29 13:37:25,792 - lightrag - INFO - _check_edge_existence:query:MATCH (a:`THE FROZEN MOOR`)-[r]-(b:`THE SETTING SUN`) RETURN COUNT(r) > 0 AS edgeExists:result:False +2024-10-29 13:37:25,971 - lightrag - INFO - _check_node_exists:query:MATCH (n:`THE FROZEN MOOR`) RETURN count(n) > 0 AS node_exists:result:True +2024-10-29 13:37:26,147 - lightrag - INFO - _check_node_exists:query:MATCH (n:`THE SETTING SUN`) RETURN count(n) > 0 AS node_exists:result:True +2024-10-29 13:37:26,339 - lightrag - INFO - _do_upsert_edge:query: + MATCH (source:`THE FROZEN MOOR`) + WITH source + MATCH (target:`THE SETTING SUN`) + MERGE (source)-[r:DIRECTED]->(target) + SET r += $properties + RETURN r + :result:None +2024-10-29 13:37:26,519 - lightrag - INFO - _check_edge_existence:query:MATCH (a:`THE CHEERFUL COMPANY`)-[r]-(b:`THE HUT`) RETURN COUNT(r) > 0 AS edgeExists:result:False +2024-10-29 13:37:26,695 - lightrag - INFO - _check_node_exists:query:MATCH (n:`THE CHEERFUL COMPANY`) RETURN count(n) > 0 AS node_exists:result:True +2024-10-29 13:37:26,876 - lightrag - INFO - _check_node_exists:query:MATCH (n:`THE HUT`) RETURN count(n) > 0 AS node_exists:result:True +2024-10-29 13:37:27,063 - lightrag - INFO - _do_upsert_edge:query: + MATCH (source:`THE CHEERFUL COMPANY`) + WITH source + MATCH (target:`THE HUT`) + MERGE (source)-[r:DIRECTED]->(target) + SET r += $properties + RETURN r + :result:None +2024-10-29 13:37:27,248 - lightrag - INFO - _check_edge_existence:query:MATCH (a:`THE FROZEN MOOR`)-[r]-(b:`THE LIGHTHOUSE`) RETURN COUNT(r) > 0 AS edgeExists:result:False +2024-10-29 13:37:27,420 - lightrag - INFO - _check_node_exists:query:MATCH (n:`THE FROZEN MOOR`) RETURN count(n) > 0 AS node_exists:result:True +2024-10-29 13:37:27,597 - lightrag - INFO - _check_node_exists:query:MATCH (n:`THE LIGHTHOUSE`) RETURN count(n) > 0 AS node_exists:result:True +2024-10-29 13:37:27,782 - lightrag - INFO - _do_upsert_edge:query: + MATCH (source:`THE FROZEN MOOR`) + WITH source + MATCH (target:`THE LIGHTHOUSE`) + MERGE (source)-[r:DIRECTED]->(target) + SET r += $properties + RETURN r + :result:None +2024-10-29 13:37:27,970 - lightrag - INFO - _check_edge_existence:query:MATCH (a:`SCROOGE`)-[r]-(b:`SCROOGE'S NIECE`) RETURN COUNT(r) > 0 AS edgeExists:result:False +2024-10-29 13:37:28,134 - lightrag - INFO - _check_node_exists:query:MATCH (n:`SCROOGE`) RETURN count(n) > 0 AS node_exists:result:True +2024-10-29 13:37:28,305 - lightrag - INFO - _check_node_exists:query:MATCH (n:`SCROOGE'S NIECE`) RETURN count(n) > 0 AS node_exists:result:True +2024-10-29 13:37:28,486 - lightrag - INFO - _do_upsert_edge:query: + MATCH (source:`SCROOGE`) + WITH source + MATCH (target:`SCROOGE'S NIECE`) + MERGE (source)-[r:DIRECTED]->(target) + SET r += $properties + RETURN r + :result:None +2024-10-29 13:37:28,675 - lightrag - INFO - _check_edge_existence:query:MATCH (a:`SCROOGE'S NEPHEW`)-[r]-(b:`SCROOGE'S NIECE`) RETURN COUNT(r) > 0 AS edgeExists:result:False +2024-10-29 13:37:28,854 - lightrag - INFO - _check_node_exists:query:MATCH (n:`SCROOGE'S NEPHEW`) RETURN count(n) > 0 AS node_exists:result:True +2024-10-29 13:37:29,030 - lightrag - INFO - _check_node_exists:query:MATCH (n:`SCROOGE'S NIECE`) RETURN count(n) > 0 AS node_exists:result:True +2024-10-29 13:37:29,213 - lightrag - INFO - _do_upsert_edge:query: + MATCH (source:`SCROOGE'S NEPHEW`) + WITH source + MATCH (target:`SCROOGE'S NIECE`) + MERGE (source)-[r:DIRECTED]->(target) + SET r += $properties + RETURN r + :result:None +2024-10-29 13:37:29,407 - lightrag - INFO - _check_edge_existence:query:MATCH (a:`SCROOGE'S NIECE`)-[r]-(b:`TOPPER`) RETURN COUNT(r) > 0 AS edgeExists:result:False +2024-10-29 13:37:29,571 - lightrag - INFO - _check_node_exists:query:MATCH (n:`SCROOGE'S NIECE`) RETURN count(n) > 0 AS node_exists:result:True +2024-10-29 13:37:29,745 - lightrag - INFO - _check_node_exists:query:MATCH (n:`TOPPER`) RETURN count(n) > 0 AS node_exists:result:True +2024-10-29 13:37:29,940 - lightrag - INFO - _do_upsert_edge:query: + MATCH (source:`SCROOGE'S NIECE`) + WITH source + MATCH (target:`TOPPER`) + MERGE (source)-[r:DIRECTED]->(target) + SET r += $properties + RETURN r + :result:None +2024-10-29 13:37:30,125 - lightrag - INFO - _check_edge_existence:query:MATCH (a:`SCROOGE`)-[r]-(b:`TOPPER`) RETURN COUNT(r) > 0 AS edgeExists:result:False +2024-10-29 13:37:30,287 - lightrag - INFO - _check_node_exists:query:MATCH (n:`SCROOGE`) RETURN count(n) > 0 AS node_exists:result:True +2024-10-29 13:37:30,464 - lightrag - INFO - _check_node_exists:query:MATCH (n:`TOPPER`) RETURN count(n) > 0 AS node_exists:result:True +2024-10-29 13:37:30,649 - lightrag - INFO - _do_upsert_edge:query: + MATCH (source:`SCROOGE`) + WITH source + MATCH (target:`TOPPER`) + MERGE (source)-[r:DIRECTED]->(target) + SET r += $properties + RETURN r + :result:None +2024-10-29 13:37:30,836 - lightrag - INFO - _check_edge_existence:query:MATCH (a:`BLIND MAN'S-BUFF`)-[r]-(b:`TOPPER`) RETURN COUNT(r) > 0 AS edgeExists:result:False +2024-10-29 13:37:31,011 - lightrag - INFO - _check_node_exists:query:MATCH (n:`BLIND MAN'S-BUFF`) RETURN count(n) > 0 AS node_exists:result:True +2024-10-29 13:37:31,178 - lightrag - INFO - _check_node_exists:query:MATCH (n:`TOPPER`) RETURN count(n) > 0 AS node_exists:result:True +2024-10-29 13:37:31,366 - lightrag - INFO - _do_upsert_edge:query: + MATCH (source:`BLIND MAN'S-BUFF`) + WITH source + MATCH (target:`TOPPER`) + MERGE (source)-[r:DIRECTED]->(target) + SET r += $properties + RETURN r + :result:None +2024-10-29 13:37:31,543 - lightrag - INFO - _check_edge_existence:query:MATCH (a:`FORFEITS`)-[r]-(b:`SCROOGE'S NIECE`) RETURN COUNT(r) > 0 AS edgeExists:result:False +2024-10-29 13:37:31,714 - lightrag - INFO - _check_node_exists:query:MATCH (n:`FORFEITS`) RETURN count(n) > 0 AS node_exists:result:True +2024-10-29 13:37:31,886 - lightrag - INFO - _check_node_exists:query:MATCH (n:`SCROOGE'S NIECE`) RETURN count(n) > 0 AS node_exists:result:True +2024-10-29 13:37:32,070 - lightrag - INFO - _do_upsert_edge:query: + MATCH (source:`FORFEITS`) + WITH source + MATCH (target:`SCROOGE'S NIECE`) + MERGE (source)-[r:DIRECTED]->(target) + SET r += $properties + RETURN r + :result:None +2024-10-29 13:37:32,262 - lightrag - INFO - _check_edge_existence:query:MATCH (a:`THE PLUMP SISTER`)-[r]-(b:`TOPPER`) RETURN COUNT(r) > 0 AS edgeExists:result:False +2024-10-29 13:37:32,434 - lightrag - INFO - _check_node_exists:query:MATCH (n:`THE PLUMP SISTER`) RETURN count(n) > 0 AS node_exists:result:True +2024-10-29 13:37:32,597 - lightrag - INFO - _check_node_exists:query:MATCH (n:`TOPPER`) RETURN count(n) > 0 AS node_exists:result:True +2024-10-29 13:37:32,780 - lightrag - INFO - _do_upsert_edge:query: + MATCH (source:`THE PLUMP SISTER`) + WITH source + MATCH (target:`TOPPER`) + MERGE (source)-[r:DIRECTED]->(target) + SET r += $properties + RETURN r + :result:None +2024-10-29 13:37:32,970 - lightrag - INFO - _check_edge_existence:query:MATCH (a:`BLIND MAN'S-BUFF`)-[r]-(b:`THE PLUMP SISTER`) RETURN COUNT(r) > 0 AS edgeExists:result:False +2024-10-29 13:37:33,144 - lightrag - INFO - _check_node_exists:query:MATCH (n:`BLIND MAN'S-BUFF`) RETURN count(n) > 0 AS node_exists:result:True +2024-10-29 13:37:33,321 - lightrag - INFO - _check_node_exists:query:MATCH (n:`THE PLUMP SISTER`) RETURN count(n) > 0 AS node_exists:result:True +2024-10-29 13:37:33,504 - lightrag - INFO - _do_upsert_edge:query: + MATCH (source:`BLIND MAN'S-BUFF`) + WITH source + MATCH (target:`THE PLUMP SISTER`) + MERGE (source)-[r:DIRECTED]->(target) + SET r += $properties + RETURN r + :result:None +2024-10-29 13:37:33,683 - lightrag - INFO - _check_edge_existence:query:MATCH (a:`GHOST`)-[r]-(b:`IGNORANCE`) RETURN COUNT(r) > 0 AS edgeExists:result:False +2024-10-29 13:37:33,858 - lightrag - INFO - _check_node_exists:query:MATCH (n:`GHOST`) RETURN count(n) > 0 AS node_exists:result:True +2024-10-29 13:37:34,035 - lightrag - INFO - _check_node_exists:query:MATCH (n:`IGNORANCE`) RETURN count(n) > 0 AS node_exists:result:True +2024-10-29 13:37:34,219 - lightrag - INFO - _do_upsert_edge:query: + MATCH (source:`GHOST`) + WITH source + MATCH (target:`IGNORANCE`) + MERGE (source)-[r:DIRECTED]->(target) + SET r += $properties + RETURN r + :result:None +2024-10-29 13:37:34,408 - lightrag - INFO - _check_edge_existence:query:MATCH (a:`GHOST`)-[r]-(b:`HUMANITY`) RETURN COUNT(r) > 0 AS edgeExists:result:False +2024-10-29 13:37:34,574 - lightrag - INFO - _check_node_exists:query:MATCH (n:`GHOST`) RETURN count(n) > 0 AS node_exists:result:True +2024-10-29 13:37:34,755 - lightrag - INFO - _check_node_exists:query:MATCH (n:`HUMANITY`) RETURN count(n) > 0 AS node_exists:result:True +2024-10-29 13:37:34,953 - lightrag - INFO - _do_upsert_edge:query: + MATCH (source:`GHOST`) + WITH source + MATCH (target:`HUMANITY`) + MERGE (source)-[r:DIRECTED]->(target) + SET r += $properties + RETURN r + :result:None +2024-10-29 13:37:35,143 - lightrag - INFO - _check_edge_existence:query:MATCH (a:`CHILDREN`)-[r]-(b:`SPIRIT`) RETURN COUNT(r) > 0 AS edgeExists:result:False +2024-10-29 13:37:35,326 - lightrag - INFO - _check_node_exists:query:MATCH (n:`CHILDREN`) RETURN count(n) > 0 AS node_exists:result:True +2024-10-29 13:37:35,496 - lightrag - INFO - _check_node_exists:query:MATCH (n:`SPIRIT`) RETURN count(n) > 0 AS node_exists:result:True +2024-10-29 13:37:35,678 - lightrag - INFO - _do_upsert_edge:query: + MATCH (source:`CHILDREN`) + WITH source + MATCH (target:`SPIRIT`) + MERGE (source)-[r:DIRECTED]->(target) + SET r += $properties + RETURN r + :result:None +2024-10-29 13:37:35,862 - lightrag - INFO - _check_edge_existence:query:MATCH (a:`SCROOGE`)-[r]-(b:`TWELFTH-NIGHT PARTY`) RETURN COUNT(r) > 0 AS edgeExists:result:False +2024-10-29 13:37:36,023 - lightrag - INFO - _check_node_exists:query:MATCH (n:`SCROOGE`) RETURN count(n) > 0 AS node_exists:result:True +2024-10-29 13:37:36,195 - lightrag - INFO - _check_node_exists:query:MATCH (n:`TWELFTH-NIGHT PARTY`) RETURN count(n) > 0 AS node_exists:result:True +2024-10-29 13:37:36,379 - lightrag - INFO - _do_upsert_edge:query: + MATCH (source:`SCROOGE`) + WITH source + MATCH (target:`TWELFTH-NIGHT PARTY`) + MERGE (source)-[r:DIRECTED]->(target) + SET r += $properties + RETURN r + :result:None +2024-10-29 13:37:36,566 - lightrag - INFO - _check_edge_existence:query:MATCH (a:`ALMSHOUSE`)-[r]-(b:`SPIRIT`) RETURN COUNT(r) > 0 AS edgeExists:result:False +2024-10-29 13:37:36,744 - lightrag - INFO - _check_node_exists:query:MATCH (n:`ALMSHOUSE`) RETURN count(n) > 0 AS node_exists:result:True +2024-10-29 13:37:36,921 - lightrag - INFO - _check_node_exists:query:MATCH (n:`SPIRIT`) RETURN count(n) > 0 AS node_exists:result:True +2024-10-29 13:37:37,111 - lightrag - INFO - _do_upsert_edge:query: + MATCH (source:`ALMSHOUSE`) + WITH source + MATCH (target:`SPIRIT`) + MERGE (source)-[r:DIRECTED]->(target) + SET r += $properties + RETURN r + :result:None +2024-10-29 13:37:37,297 - lightrag - INFO - _check_edge_existence:query:MATCH (a:`HOSPITAL`)-[r]-(b:`SPIRIT`) RETURN COUNT(r) > 0 AS edgeExists:result:False +2024-10-29 13:37:37,475 - lightrag - INFO - _check_node_exists:query:MATCH (n:`HOSPITAL`) RETURN count(n) > 0 AS node_exists:result:True +2024-10-29 13:37:37,638 - lightrag - INFO - _check_node_exists:query:MATCH (n:`SPIRIT`) RETURN count(n) > 0 AS node_exists:result:True +2024-10-29 13:37:37,825 - lightrag - INFO - _do_upsert_edge:query: + MATCH (source:`HOSPITAL`) + WITH source + MATCH (target:`SPIRIT`) + MERGE (source)-[r:DIRECTED]->(target) + SET r += $properties + RETURN r + :result:None +2024-10-29 13:37:38,009 - lightrag - INFO - _check_edge_existence:query:MATCH (a:`GAOL`)-[r]-(b:`SPIRIT`) RETURN COUNT(r) > 0 AS edgeExists:result:False +2024-10-29 13:37:38,187 - lightrag - INFO - _check_node_exists:query:MATCH (n:`GAOL`) RETURN count(n) > 0 AS node_exists:result:True +2024-10-29 13:37:38,350 - lightrag - INFO - _check_node_exists:query:MATCH (n:`SPIRIT`) RETURN count(n) > 0 AS node_exists:result:True +2024-10-29 13:37:38,541 - lightrag - INFO - _do_upsert_edge:query: + MATCH (source:`GAOL`) + WITH source + MATCH (target:`SPIRIT`) + MERGE (source)-[r:DIRECTED]->(target) + SET r += $properties + RETURN r + :result:None +2024-10-29 13:37:38,728 - lightrag - INFO - _check_edge_existence:query:MATCH (a:`IGNORANCE`)-[r]-(b:`MAN`) RETURN COUNT(r) > 0 AS edgeExists:result:False +2024-10-29 13:37:38,908 - lightrag - INFO - _check_node_exists:query:MATCH (n:`IGNORANCE`) RETURN count(n) > 0 AS node_exists:result:True +2024-10-29 13:37:39,083 - lightrag - INFO - _check_node_exists:query:MATCH (n:`MAN`) RETURN count(n) > 0 AS node_exists:result:True +2024-10-29 13:37:39,275 - lightrag - INFO - _do_upsert_edge:query: + MATCH (source:`IGNORANCE`) + WITH source + MATCH (target:`MAN`) + MERGE (source)-[r:DIRECTED]->(target) + SET r += $properties + RETURN r + :result:None +2024-10-29 13:37:39,463 - lightrag - INFO - _check_edge_existence:query:MATCH (a:`MISERY'S REFUGE`)-[r]-(b:`SPIRIT`) RETURN COUNT(r) > 0 AS edgeExists:result:False +2024-10-29 13:37:39,642 - lightrag - INFO - _check_node_exists:query:MATCH (n:`MISERY'S REFUGE`) RETURN count(n) > 0 AS node_exists:result:True +2024-10-29 13:37:39,804 - lightrag - INFO - _check_node_exists:query:MATCH (n:`SPIRIT`) RETURN count(n) > 0 AS node_exists:result:True +2024-10-29 13:37:39,999 - lightrag - INFO - _do_upsert_edge:query: + MATCH (source:`MISERY'S REFUGE`) + WITH source + MATCH (target:`SPIRIT`) + MERGE (source)-[r:DIRECTED]->(target) + SET r += $properties + RETURN r + :result:None +2024-10-29 13:37:40,183 - lightrag - INFO - _check_edge_existence:query:MATCH (a:`IGNORANCE`)-[r]-(b:`SCROOGE`) RETURN COUNT(r) > 0 AS edgeExists:result:False +2024-10-29 13:37:40,361 - lightrag - INFO - _check_node_exists:query:MATCH (n:`IGNORANCE`) RETURN count(n) > 0 AS node_exists:result:True +2024-10-29 13:37:40,525 - lightrag - INFO - _check_node_exists:query:MATCH (n:`SCROOGE`) RETURN count(n) > 0 AS node_exists:result:True +2024-10-29 13:37:40,711 - lightrag - INFO - _do_upsert_edge:query: + MATCH (source:`IGNORANCE`) + WITH source + MATCH (target:`SCROOGE`) + MERGE (source)-[r:DIRECTED]->(target) + SET r += $properties + RETURN r + :result:None +2024-10-29 13:37:40,896 - lightrag - INFO - _check_edge_existence:query:MATCH (a:`SCROOGE`)-[r]-(b:`WANT`) RETURN COUNT(r) > 0 AS edgeExists:result:False +2024-10-29 13:37:41,061 - lightrag - INFO - _check_node_exists:query:MATCH (n:`SCROOGE`) RETURN count(n) > 0 AS node_exists:result:True +2024-10-29 13:37:41,237 - lightrag - INFO - _check_node_exists:query:MATCH (n:`WANT`) RETURN count(n) > 0 AS node_exists:result:True +2024-10-29 13:37:41,435 - lightrag - INFO - _do_upsert_edge:query: + MATCH (source:`SCROOGE`) + WITH source + MATCH (target:`WANT`) + MERGE (source)-[r:DIRECTED]->(target) + SET r += $properties + RETURN r + :result:None +2024-10-29 13:37:41,618 - lightrag - INFO - _check_edge_existence:query:MATCH (a:`GHOST OF CHRISTMAS YET TO COME`)-[r]-(b:`SPIRIT`) RETURN COUNT(r) > 0 AS edgeExists:result:False +2024-10-29 13:37:41,795 - lightrag - INFO - _check_node_exists:query:MATCH (n:`GHOST OF CHRISTMAS YET TO COME`) RETURN count(n) > 0 AS node_exists:result:True +2024-10-29 13:37:41,955 - lightrag - INFO - _check_node_exists:query:MATCH (n:`SPIRIT`) RETURN count(n) > 0 AS node_exists:result:True +2024-10-29 13:37:42,146 - lightrag - INFO - _do_upsert_edge:query: + MATCH (source:`GHOST OF CHRISTMAS YET TO COME`) + WITH source + MATCH (target:`SPIRIT`) + MERGE (source)-[r:DIRECTED]->(target) + SET r += $properties + RETURN r + :result:None +2024-10-29 13:37:42,330 - lightrag - INFO - _check_edge_existence:query:MATCH (a:`CHRISTMAS`)-[r]-(b:`THE GHOST`) RETURN COUNT(r) > 0 AS edgeExists:result:False +2024-10-29 13:37:42,498 - lightrag - INFO - _check_node_exists:query:MATCH (n:`CHRISTMAS`) RETURN count(n) > 0 AS node_exists:result:True +2024-10-29 13:37:42,671 - lightrag - INFO - _check_node_exists:query:MATCH (n:`THE GHOST`) RETURN count(n) > 0 AS node_exists:result:True +2024-10-29 13:37:42,862 - lightrag - INFO - _do_upsert_edge:query: + MATCH (source:`CHRISTMAS`) + WITH source + MATCH (target:`THE GHOST`) + MERGE (source)-[r:DIRECTED]->(target) + SET r += $properties + RETURN r + :result:None +2024-10-29 13:37:43,045 - lightrag - INFO - _check_edge_existence:query:MATCH (a:`JACOB MARLEY`)-[r]-(b:`THE FUTURE`) RETURN COUNT(r) > 0 AS edgeExists:result:False +2024-10-29 13:37:43,217 - lightrag - INFO - _check_node_exists:query:MATCH (n:`JACOB MARLEY`) RETURN count(n) > 0 AS node_exists:result:True +2024-10-29 13:37:43,400 - lightrag - INFO - _check_node_exists:query:MATCH (n:`THE FUTURE`) RETURN count(n) > 0 AS node_exists:result:True +2024-10-29 13:37:43,582 - lightrag - INFO - _do_upsert_edge:query: + MATCH (source:`JACOB MARLEY`) + WITH source + MATCH (target:`THE FUTURE`) + MERGE (source)-[r:DIRECTED]->(target) + SET r += $properties + RETURN r + :result:None +2024-10-29 13:37:43,763 - lightrag - INFO - _check_edge_existence:query:MATCH (a:`SCROOGE`)-[r]-(b:`THE BUSINESSMEN`) RETURN COUNT(r) > 0 AS edgeExists:result:False +2024-10-29 13:37:43,929 - lightrag - INFO - _check_node_exists:query:MATCH (n:`SCROOGE`) RETURN count(n) > 0 AS node_exists:result:True +2024-10-29 13:37:44,107 - lightrag - INFO - _check_node_exists:query:MATCH (n:`THE BUSINESSMEN`) RETURN count(n) > 0 AS node_exists:result:True +2024-10-29 13:37:44,292 - lightrag - INFO - _do_upsert_edge:query: + MATCH (source:`SCROOGE`) + WITH source + MATCH (target:`THE BUSINESSMEN`) + MERGE (source)-[r:DIRECTED]->(target) + SET r += $properties + RETURN r + :result:None +2024-10-29 13:37:44,483 - lightrag - INFO - _check_edge_existence:query:MATCH (a:`DEATH`)-[r]-(b:`THE FUTURE`) RETURN COUNT(r) > 0 AS edgeExists:result:False +2024-10-29 13:37:44,655 - lightrag - INFO - _check_node_exists:query:MATCH (n:`DEATH`) RETURN count(n) > 0 AS node_exists:result:True +2024-10-29 13:37:44,829 - lightrag - INFO - _check_node_exists:query:MATCH (n:`THE FUTURE`) RETURN count(n) > 0 AS node_exists:result:True +2024-10-29 13:37:45,021 - lightrag - INFO - _do_upsert_edge:query: + MATCH (source:`DEATH`) + WITH source + MATCH (target:`THE FUTURE`) + MERGE (source)-[r:DIRECTED]->(target) + SET r += $properties + RETURN r + :result:None +2024-10-29 13:37:45,204 - lightrag - INFO - _check_edge_existence:query:MATCH (a:`JACOB`)-[r]-(b:`SCROOGE`) RETURN COUNT(r) > 0 AS edgeExists:result:False +2024-10-29 13:37:45,380 - lightrag - INFO - _check_node_exists:query:MATCH (n:`JACOB`) RETURN count(n) > 0 AS node_exists:result:True +2024-10-29 13:37:45,547 - lightrag - INFO - _check_node_exists:query:MATCH (n:`SCROOGE`) RETURN count(n) > 0 AS node_exists:result:True +2024-10-29 13:37:45,729 - lightrag - INFO - _do_upsert_edge:query: + MATCH (source:`JACOB`) + WITH source + MATCH (target:`SCROOGE`) + MERGE (source)-[r:DIRECTED]->(target) + SET r += $properties + RETURN r + :result:None +2024-10-29 13:37:45,910 - lightrag - INFO - _check_edge_existence:query:MATCH (a:`SCROOGE`)-[r]-(b:`THE PHANTOM`) RETURN COUNT(r) > 0 AS edgeExists:result:False +2024-10-29 13:37:46,074 - lightrag - INFO - _check_node_exists:query:MATCH (n:`SCROOGE`) RETURN count(n) > 0 AS node_exists:result:True +2024-10-29 13:37:46,250 - lightrag - INFO - _check_node_exists:query:MATCH (n:`THE PHANTOM`) RETURN count(n) > 0 AS node_exists:result:True +2024-10-29 13:37:46,438 - lightrag - INFO - _do_upsert_edge:query: + MATCH (source:`SCROOGE`) + WITH source + MATCH (target:`THE PHANTOM`) + MERGE (source)-[r:DIRECTED]->(target) + SET r += $properties + RETURN r + :result:None +2024-10-29 13:37:46,617 - lightrag - INFO - _check_edge_existence:query:MATCH (a:`CHRISTMAS-TIME`)-[r]-(b:`THE PHANTOM`) RETURN COUNT(r) > 0 AS edgeExists:result:False +2024-10-29 13:37:46,789 - lightrag - INFO - _check_node_exists:query:MATCH (n:`CHRISTMAS-TIME`) RETURN count(n) > 0 AS node_exists:result:True +2024-10-29 13:37:46,968 - lightrag - INFO - _check_node_exists:query:MATCH (n:`THE PHANTOM`) RETURN count(n) > 0 AS node_exists:result:True +2024-10-29 13:37:47,159 - lightrag - INFO - _do_upsert_edge:query: + MATCH (source:`CHRISTMAS-TIME`) + WITH source + MATCH (target:`THE PHANTOM`) + MERGE (source)-[r:DIRECTED]->(target) + SET r += $properties + RETURN r + :result:None +2024-10-29 13:37:47,344 - lightrag - INFO - _check_edge_existence:query:MATCH (a:`BUSINESSMEN`)-[r]-(b:`SCROOGE`) RETURN COUNT(r) > 0 AS edgeExists:result:False +2024-10-29 13:37:47,524 - lightrag - INFO - _check_node_exists:query:MATCH (n:`BUSINESSMEN`) RETURN count(n) > 0 AS node_exists:result:True +2024-10-29 13:37:47,688 - lightrag - INFO - _check_node_exists:query:MATCH (n:`SCROOGE`) RETURN count(n) > 0 AS node_exists:result:True +2024-10-29 13:37:47,870 - lightrag - INFO - _do_upsert_edge:query: + MATCH (source:`BUSINESSMEN`) + WITH source + MATCH (target:`SCROOGE`) + MERGE (source)-[r:DIRECTED]->(target) + SET r += $properties + RETURN r + :result:None +2024-10-29 13:37:48,056 - lightrag - INFO - _check_edge_existence:query:MATCH (a:`SCROOGE`)-[r]-(b:`THE OBSCURE PART OF TOWN`) RETURN COUNT(r) > 0 AS edgeExists:result:False +2024-10-29 13:37:48,226 - lightrag - INFO - _check_node_exists:query:MATCH (n:`SCROOGE`) RETURN count(n) > 0 AS node_exists:result:True +2024-10-29 13:37:48,411 - lightrag - INFO - _check_node_exists:query:MATCH (n:`THE OBSCURE PART OF TOWN`) RETURN count(n) > 0 AS node_exists:result:True +2024-10-29 13:37:48,601 - lightrag - INFO - _do_upsert_edge:query: + MATCH (source:`SCROOGE`) + WITH source + MATCH (target:`THE OBSCURE PART OF TOWN`) + MERGE (source)-[r:DIRECTED]->(target) + SET r += $properties + RETURN r + :result:None +2024-10-29 13:37:48,784 - lightrag - INFO - _check_edge_existence:query:MATCH (a:`THE LOW-BROWED SHOP`)-[r]-(b:`THE OBSCURE PART OF TOWN`) RETURN COUNT(r) > 0 AS edgeExists:result:False +2024-10-29 13:37:48,959 - lightrag - INFO - _check_node_exists:query:MATCH (n:`THE LOW-BROWED SHOP`) RETURN count(n) > 0 AS node_exists:result:True +2024-10-29 13:37:49,139 - lightrag - INFO - _check_node_exists:query:MATCH (n:`THE OBSCURE PART OF TOWN`) RETURN count(n) > 0 AS node_exists:result:True +2024-10-29 13:37:49,327 - lightrag - INFO - _do_upsert_edge:query: + MATCH (source:`THE LOW-BROWED SHOP`) + WITH source + MATCH (target:`THE OBSCURE PART OF TOWN`) + MERGE (source)-[r:DIRECTED]->(target) + SET r += $properties + RETURN r + :result:None +2024-10-29 13:37:49,518 - lightrag - INFO - _check_edge_existence:query:MATCH (a:`GENTLEMAN WITH EXCRESCENCE`)-[r]-(b:`LARGE CHIN MAN`) RETURN COUNT(r) > 0 AS edgeExists:result:False +2024-10-29 13:37:49,693 - lightrag - INFO - _check_node_exists:query:MATCH (n:`GENTLEMAN WITH EXCRESCENCE`) RETURN count(n) > 0 AS node_exists:result:True +2024-10-29 13:37:49,868 - lightrag - INFO - _check_node_exists:query:MATCH (n:`LARGE CHIN MAN`) RETURN count(n) > 0 AS node_exists:result:True +2024-10-29 13:37:50,049 - lightrag - INFO - _do_upsert_edge:query: + MATCH (source:`GENTLEMAN WITH EXCRESCENCE`) + WITH source + MATCH (target:`LARGE CHIN MAN`) + MERGE (source)-[r:DIRECTED]->(target) + SET r += $properties + RETURN r + :result:None +2024-10-29 13:37:50,240 - lightrag - INFO - _check_edge_existence:query:MATCH (a:`GENTLEMAN WITH EXCRESCENCE`)-[r]-(b:`THE PARTY`) RETURN COUNT(r) > 0 AS edgeExists:result:False +2024-10-29 13:37:50,415 - lightrag - INFO - _check_node_exists:query:MATCH (n:`GENTLEMAN WITH EXCRESCENCE`) RETURN count(n) > 0 AS node_exists:result:True +2024-10-29 13:37:50,590 - lightrag - INFO - _check_node_exists:query:MATCH (n:`THE PARTY`) RETURN count(n) > 0 AS node_exists:result:True +2024-10-29 13:37:50,778 - lightrag - INFO - _do_upsert_edge:query: + MATCH (source:`GENTLEMAN WITH EXCRESCENCE`) + WITH source + MATCH (target:`THE PARTY`) + MERGE (source)-[r:DIRECTED]->(target) + SET r += $properties + RETURN r + :result:None +2024-10-29 13:37:50,961 - lightrag - INFO - _check_edge_existence:query:MATCH (a:`BUSINESSMEN`)-[r]-(b:`LARGE CHIN MAN`) RETURN COUNT(r) > 0 AS edgeExists:result:False +2024-10-29 13:37:51,138 - lightrag - INFO - _check_node_exists:query:MATCH (n:`BUSINESSMEN`) RETURN count(n) > 0 AS node_exists:result:True +2024-10-29 13:37:51,316 - lightrag - INFO - _check_node_exists:query:MATCH (n:`LARGE CHIN MAN`) RETURN count(n) > 0 AS node_exists:result:True +2024-10-29 13:37:51,498 - lightrag - INFO - _do_upsert_edge:query: + MATCH (source:`BUSINESSMEN`) + WITH source + MATCH (target:`LARGE CHIN MAN`) + MERGE (source)-[r:DIRECTED]->(target) + SET r += $properties + RETURN r + :result:None +2024-10-29 13:37:51,687 - lightrag - INFO - _check_edge_existence:query:MATCH (a:`SCROOGE`)-[r]-(b:`STREET`) RETURN COUNT(r) > 0 AS edgeExists:result:False +2024-10-29 13:37:51,847 - lightrag - INFO - _check_node_exists:query:MATCH (n:`SCROOGE`) RETURN count(n) > 0 AS node_exists:result:True +2024-10-29 13:37:52,023 - lightrag - INFO - _check_node_exists:query:MATCH (n:`STREET`) RETURN count(n) > 0 AS node_exists:result:True +2024-10-29 13:37:52,223 - lightrag - INFO - _do_upsert_edge:query: + MATCH (source:`SCROOGE`) + WITH source + MATCH (target:`STREET`) + MERGE (source)-[r:DIRECTED]->(target) + SET r += $properties + RETURN r + :result:None +2024-10-29 13:37:52,420 - lightrag - INFO - _check_edge_existence:query:MATCH (a:`MULTITUDES`)-[r]-(b:`SCROOGE`) RETURN COUNT(r) > 0 AS edgeExists:result:False +2024-10-29 13:37:52,595 - lightrag - INFO - _check_node_exists:query:MATCH (n:`MULTITUDES`) RETURN count(n) > 0 AS node_exists:result:True +2024-10-29 13:37:52,759 - lightrag - INFO - _check_node_exists:query:MATCH (n:`SCROOGE`) RETURN count(n) > 0 AS node_exists:result:True +2024-10-29 13:37:52,938 - lightrag - INFO - _do_upsert_edge:query: + MATCH (source:`MULTITUDES`) + WITH source + MATCH (target:`SCROOGE`) + MERGE (source)-[r:DIRECTED]->(target) + SET r += $properties + RETURN r + :result:None +2024-10-29 13:37:53,119 - lightrag - INFO - _check_edge_existence:query:MATCH (a:`SCROOGE`)-[r]-(b:`SHADOW OF HIMSELF`) RETURN COUNT(r) > 0 AS edgeExists:result:False +2024-10-29 13:37:53,283 - lightrag - INFO - _check_node_exists:query:MATCH (n:`SCROOGE`) RETURN count(n) > 0 AS node_exists:result:True +2024-10-29 13:37:53,462 - lightrag - INFO - _check_node_exists:query:MATCH (n:`SHADOW OF HIMSELF`) RETURN count(n) > 0 AS node_exists:result:True +2024-10-29 13:37:53,649 - lightrag - INFO - _do_upsert_edge:query: + MATCH (source:`SCROOGE`) + WITH source + MATCH (target:`SHADOW OF HIMSELF`) + MERGE (source)-[r:DIRECTED]->(target) + SET r += $properties + RETURN r + :result:None +2024-10-29 13:37:53,834 - lightrag - INFO - _check_edge_existence:query:MATCH (a:`BAD REPUTE`)-[r]-(b:`SCROOGE`) RETURN COUNT(r) > 0 AS edgeExists:result:False +2024-10-29 13:37:54,005 - lightrag - INFO - _check_node_exists:query:MATCH (n:`BAD REPUTE`) RETURN count(n) > 0 AS node_exists:result:True +2024-10-29 13:37:54,165 - lightrag - INFO - _check_node_exists:query:MATCH (n:`SCROOGE`) RETURN count(n) > 0 AS node_exists:result:True +2024-10-29 13:37:54,351 - lightrag - INFO - _do_upsert_edge:query: + MATCH (source:`BAD REPUTE`) + WITH source + MATCH (target:`SCROOGE`) + MERGE (source)-[r:DIRECTED]->(target) + SET r += $properties + RETURN r + :result:None +2024-10-29 13:37:54,537 - lightrag - INFO - _check_edge_existence:query:MATCH (a:`FROUZY CURTAINING`)-[r]-(b:`THE LOW-BROWED SHOP`) RETURN COUNT(r) > 0 AS edgeExists:result:False +2024-10-29 13:37:54,719 - lightrag - INFO - _check_node_exists:query:MATCH (n:`FROUZY CURTAINING`) RETURN count(n) > 0 AS node_exists:result:True +2024-10-29 13:37:54,894 - lightrag - INFO - _check_node_exists:query:MATCH (n:`THE LOW-BROWED SHOP`) RETURN count(n) > 0 AS node_exists:result:True +2024-10-29 13:37:55,079 - lightrag - INFO - _do_upsert_edge:query: + MATCH (source:`FROUZY CURTAINING`) + WITH source + MATCH (target:`THE LOW-BROWED SHOP`) + MERGE (source)-[r:DIRECTED]->(target) + SET r += $properties + RETURN r + :result:None +2024-10-29 13:37:55,272 - lightrag - INFO - _check_edge_existence:query:MATCH (a:`RUSTY KEYS, NAILS, CHAINS, HINGES`)-[r]-(b:`THE LOW-BROWED SHOP`) RETURN COUNT(r) > 0 AS edgeExists:result:False +2024-10-29 13:37:55,455 - lightrag - INFO - _check_node_exists:query:MATCH (n:`RUSTY KEYS, NAILS, CHAINS, HINGES`) RETURN count(n) > 0 AS node_exists:result:True +2024-10-29 13:37:55,624 - lightrag - INFO - _check_node_exists:query:MATCH (n:`THE LOW-BROWED SHOP`) RETURN count(n) > 0 AS node_exists:result:True +2024-10-29 13:37:55,811 - lightrag - INFO - _do_upsert_edge:query: + MATCH (source:`RUSTY KEYS, NAILS, CHAINS, HINGES`) + WITH source + MATCH (target:`THE LOW-BROWED SHOP`) + MERGE (source)-[r:DIRECTED]->(target) + SET r += $properties + RETURN r + :result:None +2024-10-29 13:37:55,996 - lightrag - INFO - _check_edge_existence:query:MATCH (a:`OLD JOE`)-[r]-(b:`THE WOMAN`) RETURN COUNT(r) > 0 AS edgeExists:result:False +2024-10-29 13:37:56,167 - lightrag - INFO - _check_node_exists:query:MATCH (n:`OLD JOE`) RETURN count(n) > 0 AS node_exists:result:True +2024-10-29 13:37:56,346 - lightrag - INFO - _check_node_exists:query:MATCH (n:`THE WOMAN`) RETURN count(n) > 0 AS node_exists:result:True +2024-10-29 13:37:56,534 - lightrag - INFO - _do_upsert_edge:query: + MATCH (source:`OLD JOE`) + WITH source + MATCH (target:`THE WOMAN`) + MERGE (source)-[r:DIRECTED]->(target) + SET r += $properties + RETURN r + :result:None +2024-10-29 13:37:56,726 - lightrag - INFO - _check_edge_existence:query:MATCH (a:`MRS. DILBER`)-[r]-(b:`OLD JOE`) RETURN COUNT(r) > 0 AS edgeExists:result:False +2024-10-29 13:37:56,897 - lightrag - INFO - _check_node_exists:query:MATCH (n:`MRS. DILBER`) RETURN count(n) > 0 AS node_exists:result:True +2024-10-29 13:37:57,073 - lightrag - INFO - _check_node_exists:query:MATCH (n:`OLD JOE`) RETURN count(n) > 0 AS node_exists:result:True +2024-10-29 13:37:57,257 - lightrag - INFO - _do_upsert_edge:query: + MATCH (source:`MRS. DILBER`) + WITH source + MATCH (target:`OLD JOE`) + MERGE (source)-[r:DIRECTED]->(target) + SET r += $properties + RETURN r + :result:None +2024-10-29 13:37:57,441 - lightrag - INFO - _check_edge_existence:query:MATCH (a:`MRS. DILBER`)-[r]-(b:`THE WOMAN`) RETURN COUNT(r) > 0 AS edgeExists:result:False +2024-10-29 13:37:57,618 - lightrag - INFO - _check_node_exists:query:MATCH (n:`MRS. DILBER`) RETURN count(n) > 0 AS node_exists:result:True +2024-10-29 13:37:57,797 - lightrag - INFO - _check_node_exists:query:MATCH (n:`THE WOMAN`) RETURN count(n) > 0 AS node_exists:result:True +2024-10-29 13:37:57,983 - lightrag - INFO - _do_upsert_edge:query: + MATCH (source:`MRS. DILBER`) + WITH source + MATCH (target:`THE WOMAN`) + MERGE (source)-[r:DIRECTED]->(target) + SET r += $properties + RETURN r + :result:None +2024-10-29 13:37:58,167 - lightrag - INFO - _check_edge_existence:query:MATCH (a:`OLD JOE`)-[r]-(b:`THE SHOP`) RETURN COUNT(r) > 0 AS edgeExists:result:False +2024-10-29 13:37:58,334 - lightrag - INFO - _check_node_exists:query:MATCH (n:`OLD JOE`) RETURN count(n) > 0 AS node_exists:result:True +2024-10-29 13:37:58,510 - lightrag - INFO - _check_node_exists:query:MATCH (n:`THE SHOP`) RETURN count(n) > 0 AS node_exists:result:True +2024-10-29 13:37:58,696 - lightrag - INFO - _do_upsert_edge:query: + MATCH (source:`OLD JOE`) + WITH source + MATCH (target:`THE SHOP`) + MERGE (source)-[r:DIRECTED]->(target) + SET r += $properties + RETURN r + :result:None +2024-10-29 13:37:58,878 - lightrag - INFO - _check_edge_existence:query:MATCH (a:`THE CHARWOMAN`)-[r]-(b:`THE UNDERTAKER'S MAN`) RETURN COUNT(r) > 0 AS edgeExists:result:False +2024-10-29 13:37:59,057 - lightrag - INFO - _check_node_exists:query:MATCH (n:`THE CHARWOMAN`) RETURN count(n) > 0 AS node_exists:result:True +2024-10-29 13:37:59,232 - lightrag - INFO - _check_node_exists:query:MATCH (n:`THE UNDERTAKER'S MAN`) RETURN count(n) > 0 AS node_exists:result:True +2024-10-29 13:37:59,421 - lightrag - INFO - _do_upsert_edge:query: + MATCH (source:`THE CHARWOMAN`) + WITH source + MATCH (target:`THE UNDERTAKER'S MAN`) + MERGE (source)-[r:DIRECTED]->(target) + SET r += $properties + RETURN r + :result:None +2024-10-29 13:37:59,610 - lightrag - INFO - _check_edge_existence:query:MATCH (a:`OLD JOE`)-[r]-(b:`THE DEAD MAN`) RETURN COUNT(r) > 0 AS edgeExists:result:False +2024-10-29 13:37:59,779 - lightrag - INFO - _check_node_exists:query:MATCH (n:`OLD JOE`) RETURN count(n) > 0 AS node_exists:result:True +2024-10-29 13:37:59,955 - lightrag - INFO - _check_node_exists:query:MATCH (n:`THE DEAD MAN`) RETURN count(n) > 0 AS node_exists:result:True +2024-10-29 13:38:00,136 - lightrag - INFO - _do_upsert_edge:query: + MATCH (source:`OLD JOE`) + WITH source + MATCH (target:`THE DEAD MAN`) + MERGE (source)-[r:DIRECTED]->(target) + SET r += $properties + RETURN r + :result:None +2024-10-29 13:38:00,326 - lightrag - INFO - _check_edge_existence:query:MATCH (a:`THE CHARWOMAN`)-[r]-(b:`THE WOMAN`) RETURN COUNT(r) > 0 AS edgeExists:result:False +2024-10-29 13:38:00,502 - lightrag - INFO - _check_node_exists:query:MATCH (n:`THE CHARWOMAN`) RETURN count(n) > 0 AS node_exists:result:True +2024-10-29 13:38:00,676 - lightrag - INFO - _check_node_exists:query:MATCH (n:`THE WOMAN`) RETURN count(n) > 0 AS node_exists:result:True +2024-10-29 13:38:00,869 - lightrag - INFO - _do_upsert_edge:query: + MATCH (source:`THE CHARWOMAN`) + WITH source + MATCH (target:`THE WOMAN`) + MERGE (source)-[r:DIRECTED]->(target) + SET r += $properties + RETURN r + :result:None +2024-10-29 13:38:01,055 - lightrag - INFO - _check_edge_existence:query:MATCH (a:`MRS. DILBER`)-[r]-(b:`THE DEAD MAN`) RETURN COUNT(r) > 0 AS edgeExists:result:False +2024-10-29 13:38:01,233 - lightrag - INFO - _check_node_exists:query:MATCH (n:`MRS. DILBER`) RETURN count(n) > 0 AS node_exists:result:True +2024-10-29 13:38:01,404 - lightrag - INFO - _check_node_exists:query:MATCH (n:`THE DEAD MAN`) RETURN count(n) > 0 AS node_exists:result:True +2024-10-29 13:38:01,591 - lightrag - INFO - _do_upsert_edge:query: + MATCH (source:`MRS. DILBER`) + WITH source + MATCH (target:`THE DEAD MAN`) + MERGE (source)-[r:DIRECTED]->(target) + SET r += $properties + RETURN r + :result:None +2024-10-29 13:38:01,781 - lightrag - INFO - _check_edge_existence:query:MATCH (a:`SCROOGE`)-[r]-(b:`THE DECEASED`) RETURN COUNT(r) > 0 AS edgeExists:result:False +2024-10-29 13:38:01,948 - lightrag - INFO - _check_node_exists:query:MATCH (n:`SCROOGE`) RETURN count(n) > 0 AS node_exists:result:True +2024-10-29 13:38:02,123 - lightrag - INFO - _check_node_exists:query:MATCH (n:`THE DECEASED`) RETURN count(n) > 0 AS node_exists:result:True +2024-10-29 13:38:02,311 - lightrag - INFO - _do_upsert_edge:query: + MATCH (source:`SCROOGE`) + WITH source + MATCH (target:`THE DECEASED`) + MERGE (source)-[r:DIRECTED]->(target) + SET r += $properties + RETURN r + :result:None +2024-10-29 13:38:02,500 - lightrag - INFO - _check_edge_existence:query:MATCH (a:`DEATH`)-[r]-(b:`SCROOGE`) RETURN COUNT(r) > 0 AS edgeExists:result:False +2024-10-29 13:38:02,681 - lightrag - INFO - _check_node_exists:query:MATCH (n:`DEATH`) RETURN count(n) > 0 AS node_exists:result:True +2024-10-29 13:38:02,846 - lightrag - INFO - _check_node_exists:query:MATCH (n:`SCROOGE`) RETURN count(n) > 0 AS node_exists:result:True +2024-10-29 13:38:03,031 - lightrag - INFO - _do_upsert_edge:query: + MATCH (source:`DEATH`) + WITH source + MATCH (target:`SCROOGE`) + MERGE (source)-[r:DIRECTED]->(target) + SET r += $properties + RETURN r + :result:None +2024-10-29 13:38:03,209 - lightrag - INFO - _check_edge_existence:query:MATCH (a:`JOE`)-[r]-(b:`THE DECEASED`) RETURN COUNT(r) > 0 AS edgeExists:result:False +2024-10-29 13:38:03,384 - lightrag - INFO - _check_node_exists:query:MATCH (n:`JOE`) RETURN count(n) > 0 AS node_exists:result:True +2024-10-29 13:38:03,566 - lightrag - INFO - _check_node_exists:query:MATCH (n:`THE DECEASED`) RETURN count(n) > 0 AS node_exists:result:True +2024-10-29 13:38:03,757 - lightrag - INFO - _do_upsert_edge:query: + MATCH (source:`JOE`) + WITH source + MATCH (target:`THE DECEASED`) + MERGE (source)-[r:DIRECTED]->(target) + SET r += $properties + RETURN r + :result:None +2024-10-29 13:38:03,941 - lightrag - INFO - _check_edge_existence:query:MATCH (a:`THE DECEASED`)-[r]-(b:`THE WOMAN`) RETURN COUNT(r) > 0 AS edgeExists:result:False +2024-10-29 13:38:04,103 - lightrag - INFO - _check_node_exists:query:MATCH (n:`THE DECEASED`) RETURN count(n) > 0 AS node_exists:result:True +2024-10-29 13:38:04,269 - lightrag - INFO - _check_node_exists:query:MATCH (n:`THE WOMAN`) RETURN count(n) > 0 AS node_exists:result:True +2024-10-29 13:38:04,464 - lightrag - INFO - _do_upsert_edge:query: + MATCH (source:`THE DECEASED`) + WITH source + MATCH (target:`THE WOMAN`) + MERGE (source)-[r:DIRECTED]->(target) + SET r += $properties + RETURN r + :result:None +2024-10-29 13:38:04,651 - lightrag - INFO - _check_edge_existence:query:MATCH (a:`SCROOGE`)-[r]-(b:`THE BLANKETS`) RETURN COUNT(r) > 0 AS edgeExists:result:False +2024-10-29 13:38:04,814 - lightrag - INFO - _check_node_exists:query:MATCH (n:`SCROOGE`) RETURN count(n) > 0 AS node_exists:result:True +2024-10-29 13:38:04,990 - lightrag - INFO - _check_node_exists:query:MATCH (n:`THE BLANKETS`) RETURN count(n) > 0 AS node_exists:result:True +2024-10-29 13:38:05,175 - lightrag - INFO - _do_upsert_edge:query: + MATCH (source:`SCROOGE`) + WITH source + MATCH (target:`THE BLANKETS`) + MERGE (source)-[r:DIRECTED]->(target) + SET r += $properties + RETURN r + :result:None +2024-10-29 13:38:05,358 - lightrag - INFO - _check_edge_existence:query:MATCH (a:`SCROOGE`)-[r]-(b:`THE BED`) RETURN COUNT(r) > 0 AS edgeExists:result:False +2024-10-29 13:38:05,526 - lightrag - INFO - _check_node_exists:query:MATCH (n:`SCROOGE`) RETURN count(n) > 0 AS node_exists:result:True +2024-10-29 13:38:05,701 - lightrag - INFO - _check_node_exists:query:MATCH (n:`THE BED`) RETURN count(n) > 0 AS node_exists:result:True +2024-10-29 13:38:05,895 - lightrag - INFO - _do_upsert_edge:query: + MATCH (source:`SCROOGE`) + WITH source + MATCH (target:`THE BED`) + MERGE (source)-[r:DIRECTED]->(target) + SET r += $properties + RETURN r + :result:None +2024-10-29 13:38:06,073 - lightrag - INFO - _check_edge_existence:query:MATCH (a:`BOB CRATCHIT`)-[r]-(b:`CAROLINE`) RETURN COUNT(r) > 0 AS edgeExists:result:False +2024-10-29 13:38:06,248 - lightrag - INFO - _check_node_exists:query:MATCH (n:`BOB CRATCHIT`) RETURN count(n) > 0 AS node_exists:result:True +2024-10-29 13:38:06,427 - lightrag - INFO - _check_node_exists:query:MATCH (n:`CAROLINE`) RETURN count(n) > 0 AS node_exists:result:True +2024-10-29 13:38:06,618 - lightrag - INFO - _do_upsert_edge:query: + MATCH (source:`BOB CRATCHIT`) + WITH source + MATCH (target:`CAROLINE`) + MERGE (source)-[r:DIRECTED]->(target) + SET r += $properties + RETURN r + :result:None +2024-10-29 13:38:06,805 - lightrag - INFO - _check_edge_existence:query:MATCH (a:`CRATCHIT FAMILY`)-[r]-(b:`DEATH`) RETURN COUNT(r) > 0 AS edgeExists:result:False +2024-10-29 13:38:06,985 - lightrag - INFO - _check_node_exists:query:MATCH (n:`CRATCHIT FAMILY`) RETURN count(n) > 0 AS node_exists:result:True +2024-10-29 13:38:07,162 - lightrag - INFO - _check_node_exists:query:MATCH (n:`DEATH`) RETURN count(n) > 0 AS node_exists:result:True +2024-10-29 13:38:07,347 - lightrag - INFO - _do_upsert_edge:query: + MATCH (source:`CRATCHIT FAMILY`) + WITH source + MATCH (target:`DEATH`) + MERGE (source)-[r:DIRECTED]->(target) + SET r += $properties + RETURN r + :result:None +2024-10-29 13:38:07,533 - lightrag - INFO - _check_edge_existence:query:MATCH (a:`CRATCHIT FAMILY`)-[r]-(b:`SCROOGE`) RETURN COUNT(r) > 0 AS edgeExists:result:False +2024-10-29 13:38:07,711 - lightrag - INFO - _check_node_exists:query:MATCH (n:`CRATCHIT FAMILY`) RETURN count(n) > 0 AS node_exists:result:True +2024-10-29 13:38:07,880 - lightrag - INFO - _check_node_exists:query:MATCH (n:`SCROOGE`) RETURN count(n) > 0 AS node_exists:result:True +2024-10-29 13:38:08,066 - lightrag - INFO - _do_upsert_edge:query: + MATCH (source:`CRATCHIT FAMILY`) + WITH source + MATCH (target:`SCROOGE`) + MERGE (source)-[r:DIRECTED]->(target) + SET r += $properties + RETURN r + :result:None +2024-10-29 13:38:08,250 - lightrag - INFO - _check_edge_existence:query:MATCH (a:`MRS. CRATCHIT`)-[r]-(b:`TINY TIM`) RETURN COUNT(r) > 0 AS edgeExists:result:False +2024-10-29 13:38:08,419 - lightrag - INFO - _check_node_exists:query:MATCH (n:`MRS. CRATCHIT`) RETURN count(n) > 0 AS node_exists:result:True +2024-10-29 13:38:08,594 - lightrag - INFO - _check_node_exists:query:MATCH (n:`TINY TIM`) RETURN count(n) > 0 AS node_exists:result:True +2024-10-29 13:38:08,782 - lightrag - INFO - _do_upsert_edge:query: + MATCH (source:`MRS. CRATCHIT`) + WITH source + MATCH (target:`TINY TIM`) + MERGE (source)-[r:DIRECTED]->(target) + SET r += $properties + RETURN r + :result:None +2024-10-29 13:38:08,971 - lightrag - INFO - _check_edge_existence:query:MATCH (a:`BOB CRATCHIT`)-[r]-(b:`MR. SCROOGE'S NEPHEW`) RETURN COUNT(r) > 0 AS edgeExists:result:False +2024-10-29 13:38:09,137 - lightrag - INFO - _check_node_exists:query:MATCH (n:`BOB CRATCHIT`) RETURN count(n) > 0 AS node_exists:result:True +2024-10-29 13:38:09,309 - lightrag - INFO - _check_node_exists:query:MATCH (n:`MR. SCROOGE'S NEPHEW`) RETURN count(n) > 0 AS node_exists:result:True +2024-10-29 13:38:09,501 - lightrag - INFO - _do_upsert_edge:query: + MATCH (source:`BOB CRATCHIT`) + WITH source + MATCH (target:`MR. SCROOGE'S NEPHEW`) + MERGE (source)-[r:DIRECTED]->(target) + SET r += $properties + RETURN r + :result:None +2024-10-29 13:38:09,684 - lightrag - INFO - _check_edge_existence:query:MATCH (a:`BOB CRATCHIT`)-[r]-(b:`PETER`) RETURN COUNT(r) > 0 AS edgeExists:result:False +2024-10-29 13:38:09,854 - lightrag - INFO - _check_node_exists:query:MATCH (n:`BOB CRATCHIT`) RETURN count(n) > 0 AS node_exists:result:True +2024-10-29 13:38:10,028 - lightrag - INFO - _check_node_exists:query:MATCH (n:`PETER`) RETURN count(n) > 0 AS node_exists:result:True +2024-10-29 13:38:10,215 - lightrag - INFO - _do_upsert_edge:query: + MATCH (source:`BOB CRATCHIT`) + WITH source + MATCH (target:`PETER`) + MERGE (source)-[r:DIRECTED]->(target) + SET r += $properties + RETURN r + :result:None +2024-10-29 13:38:10,393 - lightrag - INFO - _check_edge_existence:query:MATCH (a:`BOB`)-[r]-(b:`TINY TIM`) RETURN COUNT(r) > 0 AS edgeExists:result:False +2024-10-29 13:38:10,567 - lightrag - INFO - _check_node_exists:query:MATCH (n:`BOB`) RETURN count(n) > 0 AS node_exists:result:True +2024-10-29 13:38:10,739 - lightrag - INFO - _check_node_exists:query:MATCH (n:`TINY TIM`) RETURN count(n) > 0 AS node_exists:result:True +2024-10-29 13:38:10,930 - lightrag - INFO - _do_upsert_edge:query: + MATCH (source:`BOB`) + WITH source + MATCH (target:`TINY TIM`) + MERGE (source)-[r:DIRECTED]->(target) + SET r += $properties + RETURN r + :result:None +2024-10-29 13:38:11,113 - lightrag - INFO - _check_edge_existence:query:MATCH (a:`BOB`)-[r]-(b:`MRS. CRATCHIT`) RETURN COUNT(r) > 0 AS edgeExists:result:False +2024-10-29 13:38:11,286 - lightrag - INFO - _check_node_exists:query:MATCH (n:`BOB`) RETURN count(n) > 0 AS node_exists:result:True +2024-10-29 13:38:11,468 - lightrag - INFO - _check_node_exists:query:MATCH (n:`MRS. CRATCHIT`) RETURN count(n) > 0 AS node_exists:result:True +2024-10-29 13:38:11,653 - lightrag - INFO - _do_upsert_edge:query: + MATCH (source:`BOB`) + WITH source + MATCH (target:`MRS. CRATCHIT`) + MERGE (source)-[r:DIRECTED]->(target) + SET r += $properties + RETURN r + :result:None +2024-10-29 13:38:11,834 - lightrag - INFO - _check_edge_existence:query:MATCH (a:`SCROOGE`)-[r]-(b:`THE GHOST OF CHRISTMAS YET TO COME`) RETURN COUNT(r) > 0 AS edgeExists:result:False +2024-10-29 13:38:11,998 - lightrag - INFO - _check_node_exists:query:MATCH (n:`SCROOGE`) RETURN count(n) > 0 AS node_exists:result:True +2024-10-29 13:38:12,175 - lightrag - INFO - _check_node_exists:query:MATCH (n:`THE GHOST OF CHRISTMAS YET TO COME`) RETURN count(n) > 0 AS node_exists:result:True +2024-10-29 13:38:12,356 - lightrag - INFO - _do_upsert_edge:query: + MATCH (source:`SCROOGE`) + WITH source + MATCH (target:`THE GHOST OF CHRISTMAS YET TO COME`) + MERGE (source)-[r:DIRECTED]->(target) + SET r += $properties + RETURN r + :result:None +2024-10-29 13:38:12,540 - lightrag - INFO - _check_edge_existence:query:MATCH (a:`BOB`)-[r]-(b:`PETER CRATCHIT`) RETURN COUNT(r) > 0 AS edgeExists:result:False +2024-10-29 13:38:12,707 - lightrag - INFO - _check_node_exists:query:MATCH (n:`BOB`) RETURN count(n) > 0 AS node_exists:result:True +2024-10-29 13:38:12,882 - lightrag - INFO - _check_node_exists:query:MATCH (n:`PETER CRATCHIT`) RETURN count(n) > 0 AS node_exists:result:True +2024-10-29 13:38:13,075 - lightrag - INFO - _do_upsert_edge:query: + MATCH (source:`BOB`) + WITH source + MATCH (target:`PETER CRATCHIT`) + MERGE (source)-[r:DIRECTED]->(target) + SET r += $properties + RETURN r + :result:None +2024-10-29 13:38:13,256 - lightrag - INFO - _check_edge_existence:query:MATCH (a:`SCROOGE`)-[r]-(b:`THE GRAVE`) RETURN COUNT(r) > 0 AS edgeExists:result:False +2024-10-29 13:38:13,416 - lightrag - INFO - _check_node_exists:query:MATCH (n:`SCROOGE`) RETURN count(n) > 0 AS node_exists:result:True +2024-10-29 13:38:13,592 - lightrag - INFO - _check_node_exists:query:MATCH (n:`THE GRAVE`) RETURN count(n) > 0 AS node_exists:result:True +2024-10-29 13:38:13,781 - lightrag - INFO - _do_upsert_edge:query: + MATCH (source:`SCROOGE`) + WITH source + MATCH (target:`THE GRAVE`) + MERGE (source)-[r:DIRECTED]->(target) + SET r += $properties + RETURN r + :result:None +2024-10-29 13:38:13,964 - lightrag - INFO - _check_edge_existence:query:MATCH (a:`SCROOGE`)-[r]-(b:`THE PAST`) RETURN COUNT(r) > 0 AS edgeExists:result:False +2024-10-29 13:38:14,128 - lightrag - INFO - _check_node_exists:query:MATCH (n:`SCROOGE`) RETURN count(n) > 0 AS node_exists:result:True +2024-10-29 13:38:14,298 - lightrag - INFO - _check_node_exists:query:MATCH (n:`THE PAST`) RETURN count(n) > 0 AS node_exists:result:True +2024-10-29 13:38:14,480 - lightrag - INFO - _do_upsert_edge:query: + MATCH (source:`SCROOGE`) + WITH source + MATCH (target:`THE PAST`) + MERGE (source)-[r:DIRECTED]->(target) + SET r += $properties + RETURN r + :result:None +2024-10-29 13:38:14,668 - lightrag - INFO - _check_edge_existence:query:MATCH (a:`SCROOGE`)-[r]-(b:`THE PRESENT`) RETURN COUNT(r) > 0 AS edgeExists:result:False +2024-10-29 13:38:14,832 - lightrag - INFO - _check_node_exists:query:MATCH (n:`SCROOGE`) RETURN count(n) > 0 AS node_exists:result:True +2024-10-29 13:38:15,012 - lightrag - INFO - _check_node_exists:query:MATCH (n:`THE PRESENT`) RETURN count(n) > 0 AS node_exists:result:True +2024-10-29 13:38:15,196 - lightrag - INFO - _do_upsert_edge:query: + MATCH (source:`SCROOGE`) + WITH source + MATCH (target:`THE PRESENT`) + MERGE (source)-[r:DIRECTED]->(target) + SET r += $properties + RETURN r + :result:None +2024-10-29 13:38:15,380 - lightrag - INFO - _check_edge_existence:query:MATCH (a:`CHRISTMAS DAY`)-[r]-(b:`SCROOGE`) RETURN COUNT(r) > 0 AS edgeExists:result:False +2024-10-29 13:38:15,558 - lightrag - INFO - _check_node_exists:query:MATCH (n:`CHRISTMAS DAY`) RETURN count(n) > 0 AS node_exists:result:True +2024-10-29 13:38:15,719 - lightrag - INFO - _check_node_exists:query:MATCH (n:`SCROOGE`) RETURN count(n) > 0 AS node_exists:result:True +2024-10-29 13:38:15,906 - lightrag - INFO - _do_upsert_edge:query: + MATCH (source:`CHRISTMAS DAY`) + WITH source + MATCH (target:`SCROOGE`) + MERGE (source)-[r:DIRECTED]->(target) + SET r += $properties + RETURN r + :result:None +2024-10-29 13:38:16,095 - lightrag - INFO - _check_edge_existence:query:MATCH (a:`SCROOGE`)-[r]-(b:`THE POULTERER'S`) RETURN COUNT(r) > 0 AS edgeExists:result:False +2024-10-29 13:38:16,257 - lightrag - INFO - _check_node_exists:query:MATCH (n:`SCROOGE`) RETURN count(n) > 0 AS node_exists:result:True +2024-10-29 13:38:16,431 - lightrag - INFO - _check_node_exists:query:MATCH (n:`THE POULTERER'S`) RETURN count(n) > 0 AS node_exists:result:True +2024-10-29 13:38:16,622 - lightrag - INFO - _do_upsert_edge:query: + MATCH (source:`SCROOGE`) + WITH source + MATCH (target:`THE POULTERER'S`) + MERGE (source)-[r:DIRECTED]->(target) + SET r += $properties + RETURN r + :result:None +2024-10-29 13:38:16,808 - lightrag - INFO - _check_edge_existence:query:MATCH (a:`SCROOGE`)-[r]-(b:`THE SPIRITS`) RETURN COUNT(r) > 0 AS edgeExists:result:False +2024-10-29 13:38:16,973 - lightrag - INFO - _check_node_exists:query:MATCH (n:`SCROOGE`) RETURN count(n) > 0 AS node_exists:result:True +2024-10-29 13:38:17,154 - lightrag - INFO - _check_node_exists:query:MATCH (n:`THE SPIRITS`) RETURN count(n) > 0 AS node_exists:result:True +2024-10-29 13:38:17,341 - lightrag - INFO - _do_upsert_edge:query: + MATCH (source:`SCROOGE`) + WITH source + MATCH (target:`THE SPIRITS`) + MERGE (source)-[r:DIRECTED]->(target) + SET r += $properties + RETURN r + :result:None +2024-10-29 13:38:17,526 - lightrag - INFO - _check_edge_existence:query:MATCH (a:`SCROOGE`)-[r]-(b:`THE GHOST OF JACOB MARLEY`) RETURN COUNT(r) > 0 AS edgeExists:result:False +2024-10-29 13:38:17,693 - lightrag - INFO - _check_node_exists:query:MATCH (n:`SCROOGE`) RETURN count(n) > 0 AS node_exists:result:True +2024-10-29 13:38:17,871 - lightrag - INFO - _check_node_exists:query:MATCH (n:`THE GHOST OF JACOB MARLEY`) RETURN count(n) > 0 AS node_exists:result:True +2024-10-29 13:38:18,061 - lightrag - INFO - _do_upsert_edge:query: + MATCH (source:`SCROOGE`) + WITH source + MATCH (target:`THE GHOST OF JACOB MARLEY`) + MERGE (source)-[r:DIRECTED]->(target) + SET r += $properties + RETURN r + :result:None +2024-10-29 13:38:18,244 - lightrag - INFO - _check_edge_existence:query:MATCH (a:`SCROOGE`)-[r]-(b:`THE GHOST OF CHRISTMAS FUTURE`) RETURN COUNT(r) > 0 AS edgeExists:result:False +2024-10-29 13:38:18,409 - lightrag - INFO - _check_node_exists:query:MATCH (n:`SCROOGE`) RETURN count(n) > 0 AS node_exists:result:True +2024-10-29 13:38:18,584 - lightrag - INFO - _check_node_exists:query:MATCH (n:`THE GHOST OF CHRISTMAS FUTURE`) RETURN count(n) > 0 AS node_exists:result:True +2024-10-29 13:38:18,770 - lightrag - INFO - _do_upsert_edge:query: + MATCH (source:`SCROOGE`) + WITH source + MATCH (target:`THE GHOST OF CHRISTMAS FUTURE`) + MERGE (source)-[r:DIRECTED]->(target) + SET r += $properties + RETURN r + :result:None +2024-10-29 13:38:18,958 - lightrag - INFO - _check_edge_existence:query:MATCH (a:`SCROOGE`)-[r]-(b:`SUNDAY CLOTHES BOY`) RETURN COUNT(r) > 0 AS edgeExists:result:False +2024-10-29 13:38:19,124 - lightrag - INFO - _check_node_exists:query:MATCH (n:`SCROOGE`) RETURN count(n) > 0 AS node_exists:result:True +2024-10-29 13:38:19,296 - lightrag - INFO - _check_node_exists:query:MATCH (n:`SUNDAY CLOTHES BOY`) RETURN count(n) > 0 AS node_exists:result:True +2024-10-29 13:38:19,484 - lightrag - INFO - _do_upsert_edge:query: + MATCH (source:`SCROOGE`) + WITH source + MATCH (target:`SUNDAY CLOTHES BOY`) + MERGE (source)-[r:DIRECTED]->(target) + SET r += $properties + RETURN r + :result:None +2024-10-29 13:38:19,674 - lightrag - INFO - _check_edge_existence:query:MATCH (a:`SCROOGE`)-[r]-(b:`THE SITTING ROOM`) RETURN COUNT(r) > 0 AS edgeExists:result:False +2024-10-29 13:38:19,836 - lightrag - INFO - _check_node_exists:query:MATCH (n:`SCROOGE`) RETURN count(n) > 0 AS node_exists:result:True +2024-10-29 13:38:20,010 - lightrag - INFO - _check_node_exists:query:MATCH (n:`THE SITTING ROOM`) RETURN count(n) > 0 AS node_exists:result:True +2024-10-29 13:38:20,198 - lightrag - INFO - _do_upsert_edge:query: + MATCH (source:`SCROOGE`) + WITH source + MATCH (target:`THE SITTING ROOM`) + MERGE (source)-[r:DIRECTED]->(target) + SET r += $properties + RETURN r + :result:None +2024-10-29 13:38:20,381 - lightrag - INFO - _check_edge_existence:query:MATCH (a:`BOB`)-[r]-(b:`SCROOGE`) RETURN COUNT(r) > 0 AS edgeExists:result:False +2024-10-29 13:38:20,547 - lightrag - INFO - _check_node_exists:query:MATCH (n:`BOB`) RETURN count(n) > 0 AS node_exists:result:True +2024-10-29 13:38:20,711 - lightrag - INFO - _check_node_exists:query:MATCH (n:`SCROOGE`) RETURN count(n) > 0 AS node_exists:result:True +2024-10-29 13:38:20,906 - lightrag - INFO - _do_upsert_edge:query: + MATCH (source:`BOB`) + WITH source + MATCH (target:`SCROOGE`) + MERGE (source)-[r:DIRECTED]->(target) + SET r += $properties + RETURN r + :result:None +2024-10-29 13:38:21,094 - lightrag - INFO - _check_edge_existence:query:MATCH (a:`CAMDEN TOWN`)-[r]-(b:`SCROOGE`) RETURN COUNT(r) > 0 AS edgeExists:result:False +2024-10-29 13:38:21,271 - lightrag - INFO - _check_node_exists:query:MATCH (n:`CAMDEN TOWN`) RETURN count(n) > 0 AS node_exists:result:True +2024-10-29 13:38:21,433 - lightrag - INFO - _check_node_exists:query:MATCH (n:`SCROOGE`) RETURN count(n) > 0 AS node_exists:result:True +2024-10-29 13:38:21,617 - lightrag - INFO - _do_upsert_edge:query: + MATCH (source:`CAMDEN TOWN`) + WITH source + MATCH (target:`SCROOGE`) + MERGE (source)-[r:DIRECTED]->(target) + SET r += $properties + RETURN r + :result:None +2024-10-29 13:38:21,808 - lightrag - INFO - _check_edge_existence:query:MATCH (a:`SCROOGE`)-[r]-(b:`THE TURKEY`) RETURN COUNT(r) > 0 AS edgeExists:result:False +2024-10-29 13:38:21,973 - lightrag - INFO - _check_node_exists:query:MATCH (n:`SCROOGE`) RETURN count(n) > 0 AS node_exists:result:True +2024-10-29 13:38:22,159 - lightrag - INFO - _check_node_exists:query:MATCH (n:`THE TURKEY`) RETURN count(n) > 0 AS node_exists:result:True +2024-10-29 13:38:22,339 - lightrag - INFO - _do_upsert_edge:query: + MATCH (source:`SCROOGE`) + WITH source + MATCH (target:`THE TURKEY`) + MERGE (source)-[r:DIRECTED]->(target) + SET r += $properties + RETURN r + :result:None +2024-10-29 13:38:22,524 - lightrag - INFO - _check_edge_existence:query:MATCH (a:`SCROOGE`)-[r]-(b:`THE BOY`) RETURN COUNT(r) > 0 AS edgeExists:result:False +2024-10-29 13:38:22,688 - lightrag - INFO - _check_node_exists:query:MATCH (n:`SCROOGE`) RETURN count(n) > 0 AS node_exists:result:True +2024-10-29 13:38:22,865 - lightrag - INFO - _check_node_exists:query:MATCH (n:`THE BOY`) RETURN count(n) > 0 AS node_exists:result:True +2024-10-29 13:38:23,050 - lightrag - INFO - _do_upsert_edge:query: + MATCH (source:`SCROOGE`) + WITH source + MATCH (target:`THE BOY`) + MERGE (source)-[r:DIRECTED]->(target) + SET r += $properties + RETURN r + :result:None +2024-10-29 13:38:23,236 - lightrag - INFO - _check_edge_existence:query:MATCH (a:`SCROOGE`)-[r]-(b:`THE GIRL`) RETURN COUNT(r) > 0 AS edgeExists:result:False +2024-10-29 13:38:23,401 - lightrag - INFO - _check_node_exists:query:MATCH (n:`SCROOGE`) RETURN count(n) > 0 AS node_exists:result:True +2024-10-29 13:38:23,571 - lightrag - INFO - _check_node_exists:query:MATCH (n:`THE GIRL`) RETURN count(n) > 0 AS node_exists:result:True +2024-10-29 13:38:23,752 - lightrag - INFO - _do_upsert_edge:query: + MATCH (source:`SCROOGE`) + WITH source + MATCH (target:`THE GIRL`) + MERGE (source)-[r:DIRECTED]->(target) + SET r += $properties + RETURN r + :result:None +2024-10-29 13:38:23,938 - lightrag - INFO - _check_edge_existence:query:MATCH (a:`SCROOGE`)-[r]-(b:`THE CHURCH`) RETURN COUNT(r) > 0 AS edgeExists:result:False +2024-10-29 13:38:24,105 - lightrag - INFO - _check_node_exists:query:MATCH (n:`SCROOGE`) RETURN count(n) > 0 AS node_exists:result:True +2024-10-29 13:38:24,281 - lightrag - INFO - _check_node_exists:query:MATCH (n:`THE CHURCH`) RETURN count(n) > 0 AS node_exists:result:True +2024-10-29 13:38:24,467 - lightrag - INFO - _do_upsert_edge:query: + MATCH (source:`SCROOGE`) + WITH source + MATCH (target:`THE CHURCH`) + MERGE (source)-[r:DIRECTED]->(target) + SET r += $properties + RETURN r + :result:None +2024-10-29 13:38:24,653 - lightrag - INFO - _check_edge_existence:query:MATCH (a:`SCROOGE`)-[r]-(b:`THE PEOPLE`) RETURN COUNT(r) > 0 AS edgeExists:result:False +2024-10-29 13:38:24,817 - lightrag - INFO - _check_node_exists:query:MATCH (n:`SCROOGE`) RETURN count(n) > 0 AS node_exists:result:True +2024-10-29 13:38:24,992 - lightrag - INFO - _check_node_exists:query:MATCH (n:`THE PEOPLE`) RETURN count(n) > 0 AS node_exists:result:True +2024-10-29 13:38:25,177 - lightrag - INFO - _do_upsert_edge:query: + MATCH (source:`SCROOGE`) + WITH source + MATCH (target:`THE PEOPLE`) + MERGE (source)-[r:DIRECTED]->(target) + SET r += $properties + RETURN r + :result:None +2024-10-29 13:38:25,378 - lightrag - INFO - _check_edge_existence:query:MATCH (a:`PROJECT GUTENBERG`)-[r]-(b:`THE FOUNDATION`) RETURN COUNT(r) > 0 AS edgeExists:result:False +2024-10-29 13:38:25,556 - lightrag - INFO - _check_node_exists:query:MATCH (n:`PROJECT GUTENBERG`) RETURN count(n) > 0 AS node_exists:result:True +2024-10-29 13:38:25,733 - lightrag - INFO - _check_node_exists:query:MATCH (n:`THE FOUNDATION`) RETURN count(n) > 0 AS node_exists:result:True +2024-10-29 13:38:25,921 - lightrag - INFO - _do_upsert_edge:query: + MATCH (source:`PROJECT GUTENBERG`) + WITH source + MATCH (target:`THE FOUNDATION`) + MERGE (source)-[r:DIRECTED]->(target) + SET r += $properties + RETURN r + :result:None +2024-10-29 13:38:26,109 - lightrag - INFO - _check_edge_existence:query:MATCH (a:`PROJECT GUTENBERG`)-[r]-(b:`UNITED STATES`) RETURN COUNT(r) > 0 AS edgeExists:result:False +2024-10-29 13:38:26,285 - lightrag - INFO - _check_node_exists:query:MATCH (n:`PROJECT GUTENBERG`) RETURN count(n) > 0 AS node_exists:result:True +2024-10-29 13:38:26,459 - lightrag - INFO - _check_node_exists:query:MATCH (n:`UNITED STATES`) RETURN count(n) > 0 AS node_exists:result:True +2024-10-29 13:38:26,640 - lightrag - INFO - _do_upsert_edge:query: + MATCH (source:`PROJECT GUTENBERG`) + WITH source + MATCH (target:`UNITED STATES`) + MERGE (source)-[r:DIRECTED]->(target) + SET r += $properties + RETURN r + :result:None +2024-10-29 13:38:26,828 - lightrag - INFO - _check_edge_existence:query:MATCH (a:`PROJECT GUTENBERG LICENSE`)-[r]-(b:`THE FOUNDATION`) RETURN COUNT(r) > 0 AS edgeExists:result:False +2024-10-29 13:38:27,006 - lightrag - INFO - _check_node_exists:query:MATCH (n:`PROJECT GUTENBERG LICENSE`) RETURN count(n) > 0 AS node_exists:result:True +2024-10-29 13:38:27,176 - lightrag - INFO - _check_node_exists:query:MATCH (n:`THE FOUNDATION`) RETURN count(n) > 0 AS node_exists:result:True +2024-10-29 13:38:27,364 - lightrag - INFO - _do_upsert_edge:query: + MATCH (source:`PROJECT GUTENBERG LICENSE`) + WITH source + MATCH (target:`THE FOUNDATION`) + MERGE (source)-[r:DIRECTED]->(target) + SET r += $properties + RETURN r + :result:None +2024-10-29 13:38:27,546 - lightrag - INFO - _check_edge_existence:query:MATCH (a:`PROJECT GUTENBERG LICENSE`)-[r]-(b:`UNITED STATES`) RETURN COUNT(r) > 0 AS edgeExists:result:False +2024-10-29 13:38:27,720 - lightrag - INFO - _check_node_exists:query:MATCH (n:`PROJECT GUTENBERG LICENSE`) RETURN count(n) > 0 AS node_exists:result:True +2024-10-29 13:38:27,895 - lightrag - INFO - _check_node_exists:query:MATCH (n:`UNITED STATES`) RETURN count(n) > 0 AS node_exists:result:True +2024-10-29 13:38:28,080 - lightrag - INFO - _do_upsert_edge:query: + MATCH (source:`PROJECT GUTENBERG LICENSE`) + WITH source + MATCH (target:`UNITED STATES`) + MERGE (source)-[r:DIRECTED]->(target) + SET r += $properties + RETURN r + :result:None +2024-10-29 13:38:28,267 - lightrag - INFO - _check_edge_existence:query:MATCH (a:`PROJECT GUTENBERG`)-[r]-(b:`TRANSCRIBER'S NOTE`) RETURN COUNT(r) > 0 AS edgeExists:result:False +2024-10-29 13:38:28,431 - lightrag - INFO - _check_node_exists:query:MATCH (n:`PROJECT GUTENBERG`) RETURN count(n) > 0 AS node_exists:result:True +2024-10-29 13:38:28,605 - lightrag - INFO - _check_node_exists:query:MATCH (n:`TRANSCRIBER'S NOTE`) RETURN count(n) > 0 AS node_exists:result:True +2024-10-29 13:38:28,796 - lightrag - INFO - _do_upsert_edge:query: + MATCH (source:`PROJECT GUTENBERG`) + WITH source + MATCH (target:`TRANSCRIBER'S NOTE`) + MERGE (source)-[r:DIRECTED]->(target) + SET r += $properties + RETURN r + :result:None +2024-10-29 13:38:28,993 - lightrag - INFO - _check_edge_existence:query:MATCH (a:`OLD EDITIONS`)-[r]-(b:`PROJECT GUTENBERG`) RETURN COUNT(r) > 0 AS edgeExists:result:False +2024-10-29 13:38:29,168 - lightrag - INFO - _check_node_exists:query:MATCH (n:`OLD EDITIONS`) RETURN count(n) > 0 AS node_exists:result:True +2024-10-29 13:38:29,338 - lightrag - INFO - _check_node_exists:query:MATCH (n:`PROJECT GUTENBERG`) RETURN count(n) > 0 AS node_exists:result:True +2024-10-29 13:38:29,526 - lightrag - INFO - _do_upsert_edge:query: + MATCH (source:`OLD EDITIONS`) + WITH source + MATCH (target:`PROJECT GUTENBERG`) + MERGE (source)-[r:DIRECTED]->(target) + SET r += $properties + RETURN r + :result:None +2024-10-29 13:38:29,709 - lightrag - INFO - _check_edge_existence:query:MATCH (a:`PROJECT GUTENBERG LICENSE`)-[r]-(b:`SPECIAL RULES`) RETURN COUNT(r) > 0 AS edgeExists:result:False +2024-10-29 13:38:29,885 - lightrag - INFO - _check_node_exists:query:MATCH (n:`PROJECT GUTENBERG LICENSE`) RETURN count(n) > 0 AS node_exists:result:True +2024-10-29 13:38:30,055 - lightrag - INFO - _check_node_exists:query:MATCH (n:`SPECIAL RULES`) RETURN count(n) > 0 AS node_exists:result:True +2024-10-29 13:38:30,241 - lightrag - INFO - _do_upsert_edge:query: + MATCH (source:`PROJECT GUTENBERG LICENSE`) + WITH source + MATCH (target:`SPECIAL RULES`) + MERGE (source)-[r:DIRECTED]->(target) + SET r += $properties + RETURN r + :result:None +2024-10-29 13:38:30,433 - lightrag - INFO - _check_edge_existence:query:MATCH (a:`GENERAL TERMS OF USE`)-[r]-(b:`PROJECT GUTENBERG LICENSE`) RETURN COUNT(r) > 0 AS edgeExists:result:False +2024-10-29 13:38:30,606 - lightrag - INFO - _check_node_exists:query:MATCH (n:`GENERAL TERMS OF USE`) RETURN count(n) > 0 AS node_exists:result:True +2024-10-29 13:38:30,765 - lightrag - INFO - _check_node_exists:query:MATCH (n:`PROJECT GUTENBERG LICENSE`) RETURN count(n) > 0 AS node_exists:result:True +2024-10-29 13:38:30,951 - lightrag - INFO - _do_upsert_edge:query: + MATCH (source:`GENERAL TERMS OF USE`) + WITH source + MATCH (target:`PROJECT GUTENBERG LICENSE`) + MERGE (source)-[r:DIRECTED]->(target) + SET r += $properties + RETURN r + :result:None +2024-10-29 13:38:31,133 - lightrag - INFO - _check_edge_existence:query:MATCH (a:`COPYRIGHT LAW`)-[r]-(b:`PROJECT GUTENBERG LICENSE`) RETURN COUNT(r) > 0 AS edgeExists:result:False +2024-10-29 13:38:31,305 - lightrag - INFO - _check_node_exists:query:MATCH (n:`COPYRIGHT LAW`) RETURN count(n) > 0 AS node_exists:result:True +2024-10-29 13:38:31,470 - lightrag - INFO - _check_node_exists:query:MATCH (n:`PROJECT GUTENBERG LICENSE`) RETURN count(n) > 0 AS node_exists:result:True +2024-10-29 13:38:31,647 - lightrag - INFO - _do_upsert_edge:query: + MATCH (source:`COPYRIGHT LAW`) + WITH source + MATCH (target:`PROJECT GUTENBERG LICENSE`) + MERGE (source)-[r:DIRECTED]->(target) + SET r += $properties + RETURN r + :result:None +2024-10-29 13:38:31,841 - lightrag - INFO - _check_edge_existence:query:MATCH (a:`PROJECT GUTENBERG LICENSE`)-[r]-(b:`TRADEMARK LICENSE`) RETURN COUNT(r) > 0 AS edgeExists:result:False +2024-10-29 13:38:32,009 - lightrag - INFO - _check_node_exists:query:MATCH (n:`PROJECT GUTENBERG LICENSE`) RETURN count(n) > 0 AS node_exists:result:True +2024-10-29 13:38:32,188 - lightrag - INFO - _check_node_exists:query:MATCH (n:`TRADEMARK LICENSE`) RETURN count(n) > 0 AS node_exists:result:True +2024-10-29 13:38:32,378 - lightrag - INFO - _do_upsert_edge:query: + MATCH (source:`PROJECT GUTENBERG LICENSE`) + WITH source + MATCH (target:`TRADEMARK LICENSE`) + MERGE (source)-[r:DIRECTED]->(target) + SET r += $properties + RETURN r + :result:None +2024-10-29 13:38:32,559 - lightrag - INFO - _check_edge_existence:query:MATCH (a:`DERIVATIVE WORKS`)-[r]-(b:`GENERAL TERMS OF USE`) RETURN COUNT(r) > 0 AS edgeExists:result:False +2024-10-29 13:38:32,730 - lightrag - INFO - _check_node_exists:query:MATCH (n:`DERIVATIVE WORKS`) RETURN count(n) > 0 AS node_exists:result:True +2024-10-29 13:38:32,898 - lightrag - INFO - _check_node_exists:query:MATCH (n:`GENERAL TERMS OF USE`) RETURN count(n) > 0 AS node_exists:result:True +2024-10-29 13:38:33,091 - lightrag - INFO - _do_upsert_edge:query: + MATCH (source:`DERIVATIVE WORKS`) + WITH source + MATCH (target:`GENERAL TERMS OF USE`) + MERGE (source)-[r:DIRECTED]->(target) + SET r += $properties + RETURN r + :result:None +2024-10-29 13:38:33,281 - lightrag - INFO - _check_edge_existence:query:MATCH (a:`PROJECT GUTENBERG LICENSE`)-[r]-(b:`PROJECT GUTENBERG`) RETURN COUNT(r) > 0 AS edgeExists:result:False +2024-10-29 13:38:33,452 - lightrag - INFO - _check_node_exists:query:MATCH (n:`PROJECT GUTENBERG LICENSE`) RETURN count(n) > 0 AS node_exists:result:True +2024-10-29 13:38:33,614 - lightrag - INFO - _check_node_exists:query:MATCH (n:`PROJECT GUTENBERG`) RETURN count(n) > 0 AS node_exists:result:True +2024-10-29 13:38:33,800 - lightrag - INFO - _do_upsert_edge:query: + MATCH (source:`PROJECT GUTENBERG LICENSE`) + WITH source + MATCH (target:`PROJECT GUTENBERG`) + MERGE (source)-[r:DIRECTED]->(target) + SET r += $properties + RETURN r + :result:None +2024-10-29 13:38:33,985 - lightrag - INFO - _check_edge_existence:query:MATCH (a:`PROJECT GUTENBERG LITERARY ARCHIVE FOUNDATION`)-[r]-(b:`PROJECT GUTENBERG`) RETURN COUNT(r) > 0 AS edgeExists:result:False +2024-10-29 13:38:34,163 - lightrag - INFO - _check_node_exists:query:MATCH (n:`PROJECT GUTENBERG LITERARY ARCHIVE FOUNDATION`) RETURN count(n) > 0 AS node_exists:result:True +2024-10-29 13:38:34,329 - lightrag - INFO - _check_node_exists:query:MATCH (n:`PROJECT GUTENBERG`) RETURN count(n) > 0 AS node_exists:result:True +2024-10-29 13:38:34,519 - lightrag - INFO - _do_upsert_edge:query: + MATCH (source:`PROJECT GUTENBERG LITERARY ARCHIVE FOUNDATION`) + WITH source + MATCH (target:`PROJECT GUTENBERG`) + MERGE (source)-[r:DIRECTED]->(target) + SET r += $properties + RETURN r + :result:None +2024-10-29 13:38:34,702 - lightrag - INFO - _check_edge_existence:query:MATCH (a:`U.S. COPYRIGHT LAW`)-[r]-(b:`USERS`) RETURN COUNT(r) > 0 AS edgeExists:result:False +2024-10-29 13:38:34,877 - lightrag - INFO - _check_node_exists:query:MATCH (n:`U.S. COPYRIGHT LAW`) RETURN count(n) > 0 AS node_exists:result:True +2024-10-29 13:38:35,058 - lightrag - INFO - _check_node_exists:query:MATCH (n:`USERS`) RETURN count(n) > 0 AS node_exists:result:True +2024-10-29 13:38:35,242 - lightrag - INFO - _do_upsert_edge:query: + MATCH (source:`U.S. COPYRIGHT LAW`) + WITH source + MATCH (target:`USERS`) + MERGE (source)-[r:DIRECTED]->(target) + SET r += $properties + RETURN r + :result:None +2024-10-29 13:38:35,431 - lightrag - INFO - _check_edge_existence:query:MATCH (a:`PROJECT GUTENBERG LICENSE`)-[r]-(b:`ROYALTY FEES`) RETURN COUNT(r) > 0 AS edgeExists:result:False +2024-10-29 13:38:35,594 - lightrag - INFO - _check_node_exists:query:MATCH (n:`PROJECT GUTENBERG LICENSE`) RETURN count(n) > 0 AS node_exists:result:True +2024-10-29 13:38:35,769 - lightrag - INFO - _check_node_exists:query:MATCH (n:`ROYALTY FEES`) RETURN count(n) > 0 AS node_exists:result:True +2024-10-29 13:38:35,950 - lightrag - INFO - _do_upsert_edge:query: + MATCH (source:`PROJECT GUTENBERG LICENSE`) + WITH source + MATCH (target:`ROYALTY FEES`) + MERGE (source)-[r:DIRECTED]->(target) + SET r += $properties + RETURN r + :result:None +2024-10-29 13:38:36,130 - lightrag - INFO - _check_edge_existence:query:MATCH (a:`ELECTRONIC WORK`)-[r]-(b:`USERS`) RETURN COUNT(r) > 0 AS edgeExists:result:False +2024-10-29 13:38:36,304 - lightrag - INFO - _check_node_exists:query:MATCH (n:`ELECTRONIC WORK`) RETURN count(n) > 0 AS node_exists:result:True +2024-10-29 13:38:36,482 - lightrag - INFO - _check_node_exists:query:MATCH (n:`USERS`) RETURN count(n) > 0 AS node_exists:result:True +2024-10-29 13:38:36,668 - lightrag - INFO - _do_upsert_edge:query: + MATCH (source:`ELECTRONIC WORK`) + WITH source + MATCH (target:`USERS`) + MERGE (source)-[r:DIRECTED]->(target) + SET r += $properties + RETURN r + :result:None +2024-10-29 13:38:36,858 - lightrag - INFO - _check_edge_existence:query:MATCH (a:`PERMISSION`)-[r]-(b:`PROJECT GUTENBERG LICENSE`) RETURN COUNT(r) > 0 AS edgeExists:result:False +2024-10-29 13:38:37,032 - lightrag - INFO - _check_node_exists:query:MATCH (n:`PERMISSION`) RETURN count(n) > 0 AS node_exists:result:True +2024-10-29 13:38:37,195 - lightrag - INFO - _check_node_exists:query:MATCH (n:`PROJECT GUTENBERG LICENSE`) RETURN count(n) > 0 AS node_exists:result:True +2024-10-29 13:38:37,382 - lightrag - INFO - _do_upsert_edge:query: + MATCH (source:`PERMISSION`) + WITH source + MATCH (target:`PROJECT GUTENBERG LICENSE`) + MERGE (source)-[r:DIRECTED]->(target) + SET r += $properties + RETURN r + :result:None +2024-10-29 13:38:37,568 - lightrag - INFO - _check_edge_existence:query:MATCH (a:`PROJECT GUTENBERG LITERARY ARCHIVE FOUNDATION`)-[r]-(b:`PROJECT GUTENBERG™`) RETURN COUNT(r) > 0 AS edgeExists:result:False +2024-10-29 13:38:37,739 - lightrag - INFO - _check_node_exists:query:MATCH (n:`PROJECT GUTENBERG LITERARY ARCHIVE FOUNDATION`) RETURN count(n) > 0 AS node_exists:result:True +2024-10-29 13:38:37,937 - lightrag - INFO - _check_node_exists:query:MATCH (n:`PROJECT GUTENBERG™`) RETURN count(n) > 0 AS node_exists:result:True +2024-10-29 13:38:38,158 - lightrag - INFO - _do_upsert_edge:query: + MATCH (source:`PROJECT GUTENBERG LITERARY ARCHIVE FOUNDATION`) + WITH source + MATCH (target:`PROJECT GUTENBERG™`) + MERGE (source)-[r:DIRECTED]->(target) + SET r += $properties + RETURN r + :result:None +2024-10-29 13:38:38,346 - lightrag - INFO - _check_edge_existence:query:MATCH (a:`PROJECT GUTENBERG™ COLLECTION`)-[r]-(b:`PROJECT GUTENBERG™`) RETURN COUNT(r) > 0 AS edgeExists:result:False +2024-10-29 13:38:38,526 - lightrag - INFO - _check_node_exists:query:MATCH (n:`PROJECT GUTENBERG™ COLLECTION`) RETURN count(n) > 0 AS node_exists:result:True +2024-10-29 13:38:38,704 - lightrag - INFO - _check_node_exists:query:MATCH (n:`PROJECT GUTENBERG™`) RETURN count(n) > 0 AS node_exists:result:True +2024-10-29 13:38:38,894 - lightrag - INFO - _do_upsert_edge:query: + MATCH (source:`PROJECT GUTENBERG™ COLLECTION`) + WITH source + MATCH (target:`PROJECT GUTENBERG™`) + MERGE (source)-[r:DIRECTED]->(target) + SET r += $properties + RETURN r + :result:None +2024-10-29 13:38:39,079 - lightrag - INFO - _check_edge_existence:query:MATCH (a:`PROJECT GUTENBERG LITERARY ARCHIVE FOUNDATION`)-[r]-(b:`SALT LAKE CITY`) RETURN COUNT(r) > 0 AS edgeExists:result:False +2024-10-29 13:38:39,250 - lightrag - INFO - _check_node_exists:query:MATCH (n:`PROJECT GUTENBERG LITERARY ARCHIVE FOUNDATION`) RETURN count(n) > 0 AS node_exists:result:True +2024-10-29 13:38:39,427 - lightrag - INFO - _check_node_exists:query:MATCH (n:`SALT LAKE CITY`) RETURN count(n) > 0 AS node_exists:result:True +2024-10-29 13:38:39,615 - lightrag - INFO - _do_upsert_edge:query: + MATCH (source:`PROJECT GUTENBERG LITERARY ARCHIVE FOUNDATION`) + WITH source + MATCH (target:`SALT LAKE CITY`) + MERGE (source)-[r:DIRECTED]->(target) + SET r += $properties + RETURN r + :result:None +2024-10-29 13:38:39,803 - lightrag - INFO - _check_edge_existence:query:MATCH (a:`MISSISSIPPI`)-[r]-(b:`PROJECT GUTENBERG LITERARY ARCHIVE FOUNDATION`) RETURN COUNT(r) > 0 AS edgeExists:result:False +2024-10-29 13:38:39,978 - lightrag - INFO - _check_node_exists:query:MATCH (n:`MISSISSIPPI`) RETURN count(n) > 0 AS node_exists:result:True +2024-10-29 13:38:40,141 - lightrag - INFO - _check_node_exists:query:MATCH (n:`PROJECT GUTENBERG LITERARY ARCHIVE FOUNDATION`) RETURN count(n) > 0 AS node_exists:result:True +2024-10-29 13:38:40,332 - lightrag - INFO - _do_upsert_edge:query: + MATCH (source:`MISSISSIPPI`) + WITH source + MATCH (target:`PROJECT GUTENBERG LITERARY ARCHIVE FOUNDATION`) + MERGE (source)-[r:DIRECTED]->(target) + SET r += $properties + RETURN r + :result:None +2024-10-29 13:38:40,518 - lightrag - INFO - _check_edge_existence:query:MATCH (a:`MICHAEL S. HART`)-[r]-(b:`PROJECT GUTENBERG LITERARY ARCHIVE FOUNDATION`) RETURN COUNT(r) > 0 AS edgeExists:result:False +2024-10-29 13:38:40,691 - lightrag - INFO - _check_node_exists:query:MATCH (n:`MICHAEL S. HART`) RETURN count(n) > 0 AS node_exists:result:True +2024-10-29 13:38:40,850 - lightrag - INFO - _check_node_exists:query:MATCH (n:`PROJECT GUTENBERG LITERARY ARCHIVE FOUNDATION`) RETURN count(n) > 0 AS node_exists:result:True +2024-10-29 13:38:41,034 - lightrag - INFO - _do_upsert_edge:query: + MATCH (source:`MICHAEL S. HART`) + WITH source + MATCH (target:`PROJECT GUTENBERG LITERARY ARCHIVE FOUNDATION`) + MERGE (source)-[r:DIRECTED]->(target) + SET r += $properties + RETURN r + :result:None +2024-10-29 13:38:41,216 - lightrag - INFO - _check_edge_existence:query:MATCH (a:`EBOOKS`)-[r]-(b:`PROJECT GUTENBERG LITERARY ARCHIVE FOUNDATION`) RETURN COUNT(r) > 0 AS edgeExists:result:False +2024-10-29 13:38:41,389 - lightrag - INFO - _check_node_exists:query:MATCH (n:`EBOOKS`) RETURN count(n) > 0 AS node_exists:result:True +2024-10-29 13:38:41,556 - lightrag - INFO - _check_node_exists:query:MATCH (n:`PROJECT GUTENBERG LITERARY ARCHIVE FOUNDATION`) RETURN count(n) > 0 AS node_exists:result:True +2024-10-29 13:38:41,742 - lightrag - INFO - _do_upsert_edge:query: + MATCH (source:`EBOOKS`) + WITH source + MATCH (target:`PROJECT GUTENBERG LITERARY ARCHIVE FOUNDATION`) + MERGE (source)-[r:DIRECTED]->(target) + SET r += $properties + RETURN r + :result:None +2024-10-29 13:38:41,926 - lightrag - INFO - _check_edge_existence:query:MATCH (a:`INTERNAL REVENUE SERVICE`)-[r]-(b:`PROJECT GUTENBERG LITERARY ARCHIVE FOUNDATION`) RETURN COUNT(r) > 0 AS edgeExists:result:False +2024-10-29 13:38:42,100 - lightrag - INFO - _check_node_exists:query:MATCH (n:`INTERNAL REVENUE SERVICE`) RETURN count(n) > 0 AS node_exists:result:True +2024-10-29 13:38:42,263 - lightrag - INFO - _check_node_exists:query:MATCH (n:`PROJECT GUTENBERG LITERARY ARCHIVE FOUNDATION`) RETURN count(n) > 0 AS node_exists:result:True +2024-10-29 13:38:42,455 - lightrag - INFO - _do_upsert_edge:query: + MATCH (source:`INTERNAL REVENUE SERVICE`) + WITH source + MATCH (target:`PROJECT GUTENBERG LITERARY ARCHIVE FOUNDATION`) + MERGE (source)-[r:DIRECTED]->(target) + SET r += $properties + RETURN r + :result:None +2024-10-29 13:38:42,647 - lightrag - INFO - _check_edge_existence:query:MATCH (a:`CONTRIBUTIONS`)-[r]-(b:`PROJECT GUTENBERG LITERARY ARCHIVE FOUNDATION`) RETURN COUNT(r) > 0 AS edgeExists:result:False +2024-10-29 13:38:42,820 - lightrag - INFO - _check_node_exists:query:MATCH (n:`CONTRIBUTIONS`) RETURN count(n) > 0 AS node_exists:result:True +2024-10-29 13:38:42,987 - lightrag - INFO - _check_node_exists:query:MATCH (n:`PROJECT GUTENBERG LITERARY ARCHIVE FOUNDATION`) RETURN count(n) > 0 AS node_exists:result:True +2024-10-29 13:38:43,174 - lightrag - INFO - _do_upsert_edge:query: + MATCH (source:`CONTRIBUTIONS`) + WITH source + MATCH (target:`PROJECT GUTENBERG LITERARY ARCHIVE FOUNDATION`) + MERGE (source)-[r:DIRECTED]->(target) + SET r += $properties + RETURN r + :result:None +2024-10-29 13:38:43,356 - lightrag - INFO - _check_edge_existence:query:MATCH (a:`DONATIONS`)-[r]-(b:`PROJECT GUTENBERG LITERARY ARCHIVE FOUNDATION`) RETURN COUNT(r) > 0 AS edgeExists:result:False +2024-10-29 13:38:43,535 - lightrag - INFO - _check_node_exists:query:MATCH (n:`DONATIONS`) RETURN count(n) > 0 AS node_exists:result:True +2024-10-29 13:38:43,701 - lightrag - INFO - _check_node_exists:query:MATCH (n:`PROJECT GUTENBERG LITERARY ARCHIVE FOUNDATION`) RETURN count(n) > 0 AS node_exists:result:True +2024-10-29 13:38:43,885 - lightrag - INFO - _do_upsert_edge:query: + MATCH (source:`DONATIONS`) + WITH source + MATCH (target:`PROJECT GUTENBERG LITERARY ARCHIVE FOUNDATION`) + MERGE (source)-[r:DIRECTED]->(target) + SET r += $properties + RETURN r + :result:None +2024-10-29 13:38:44,065 - lightrag - INFO - _check_edge_existence:query:MATCH (a:`PROJECT GUTENBERG LITERARY ARCHIVE FOUNDATION`)-[r]-(b:`WEBSITE`) RETURN COUNT(r) > 0 AS edgeExists:result:False +2024-10-29 13:38:44,228 - lightrag - INFO - _check_node_exists:query:MATCH (n:`PROJECT GUTENBERG LITERARY ARCHIVE FOUNDATION`) RETURN count(n) > 0 AS node_exists:result:True +2024-10-29 13:38:44,412 - lightrag - INFO - _check_node_exists:query:MATCH (n:`WEBSITE`) RETURN count(n) > 0 AS node_exists:result:True +2024-10-29 13:38:44,597 - lightrag - INFO - _do_upsert_edge:query: + MATCH (source:`PROJECT GUTENBERG LITERARY ARCHIVE FOUNDATION`) + WITH source + MATCH (target:`WEBSITE`) + MERGE (source)-[r:DIRECTED]->(target) + SET r += $properties + RETURN r + :result:None +2024-10-29 13:38:44,644 - lightrag - INFO - Inserting 377 vectors to entities +2024-10-29 13:38:46,730 - lightrag - INFO - Inserting 297 vectors to relationships +2024-10-29 13:38:49,576 - lightrag - INFO - Creating a new event loop in a sub-thread. +2024-10-29 13:38:50,521 - lightrag - INFO - Truncate 39 to 3 chunks +2024-10-29 13:38:56,020 - lightrag - INFO - Creating a new event loop in a sub-thread. +2024-10-29 13:38:57,542 - lightrag - INFO - get_node:query:MATCH (n:`EMOTION`) RETURN n:result: +2024-10-29 13:38:57,633 - lightrag - INFO - get_node:query:MATCH (n:`DARKNESS`) RETURN n:result: +2024-10-29 13:38:57,727 - lightrag - INFO - get_node:query:MATCH (n:`CHRISTMAS`) RETURN n:result:"Christmas is a festive occasion that has led to a joyful transformation in Scrooge\'s character and actions.""Christmas is a festive time celebrated by the Cratchit family, symbolizing joy, family togetherness, and generosity.""Christmas is a significant holiday that serves as the backdrop for Scrooge\'s transformation and the events that unfold during the narrative.""Christmas is a significant holiday that triggers Scrooge\'s memories and reflections on joy, loneliness, and his past.""Christmas is central to the text, symbolizing generosity, charity, and warmth that Scrooge rejects.""Christmas is depicted as a festive season when charity and social duty are emphasized, contrasting with Scrooge\'s values.""Christmas is depicted as a time associated with joy and abundance, contrasting with Scrooge\'s initial views.""Christmas is depicted as a time of joy and communal spirit, marked by people\'s activities and interactions in the streets.""Christmas is depicted as a time of joy and generosity, contrasting sharply with Scrooge\'s past behavior and current solitude.""Christmas is portrayed as a festive time that Scrooge dismisses, emphasizing the contrast between joy and his miserable attitude.""Christmas is portrayed as a time of joy, reflection, and connection, emphasizing the positive impact of the holiday spirit on individuals and communities.""Christmas is presented as a time for merriment and social gatherings, which Scrooge\'s nephew advocates for despite his uncle\'s opposition.""Christmas is the central holiday during which the events unfold, leading to significant character transformations and themes of generosity.""Christmas is the season during which festive activities and celebrations are occurring, including dances and gatherings.""Christmas represents a time of reflection and change for Scrooge, emphasizing themes of redemption.""Christmas serves as a thematic backdrop for the story, symbolizing redemption, generosity, and the spirit of giving."', 'source_id': 'chunk-91614df5cb74cbe5e109a338a82041e9chunk-503f0bfa5453467c7c61d160a3540ecachunk-773d0df1dd25c356f7b771d780583e09chunk-8f738cb25d60a7dab782162d9d0a25edchunk-e7637ff18c5ded77a68cce0a87883fadchunk-8590d9263cd2cd4fa583c432fc54e6c3chunk-54bdd22db1f84a965b5f4c06c9216d8dchunk-02baee20cc9463dbe08170a8e1043e32chunk-90d5764e301321c087f5a8f78b73a145chunk-91572b3cd42786ba4cb2f180ca25cbf4chunk-1d4b58de5429cd1261370c231c8673e8chunk-da2472b4ef2a535b62908f14d0fb0ca9chunk-94bea83e7153fc2064aa382b494936a1chunk-89777b838d5447c7bd1ec11282c4ee89chunk-99b0ec7f7e006561352b5d65e849611dchunk-74e2466de2f67fd710ef2f20c0a8d9e0chunk-5dac41b3f9eeaf794f0147400b1718cd'}> +2024-10-29 13:38:57,820 - lightrag - INFO - get_node:query:MATCH (n:`CHRISTMAS HOLIDAYS`) RETURN n:result: +2024-10-29 13:38:57,912 - lightrag - INFO - get_node:query:MATCH (n:`HUMANITY`) RETURN n:result: +2024-10-29 13:38:58,004 - lightrag - INFO - get_node:query:MATCH (n:`THE PHANTOM`) RETURN n:result: +2024-10-29 13:38:58,093 - lightrag - INFO - get_node:query:MATCH (n:`THE FIREPLACE`) RETURN n:result: +2024-10-29 13:38:58,187 - lightrag - INFO - get_node:query:MATCH (n:`SCROOGE`) RETURN n:result:chunk-b2f98bc7abb0c67d4c86055c7fd72218chunk-91614df5cb74cbe5e109a338a82041e9chunk-8f738cb25d60a7dab782162d9d0a25edchunk-e7637ff18c5ded77a68cce0a87883fadchunk-d9aac3484185ac66045df92214d245d5chunk-90b95db5c53e4364a6bee36b7aa4d70fchunk-89777b838d5447c7bd1ec11282c4ee89chunk-c6c248858d1b13ab7ee9ca13c1aeed6bchunk-5dac41b3f9eeaf794f0147400b1718cdchunk-773d0df1dd25c356f7b771d780583e09chunk-843b5b2f944c7413d9ca876e2e2f151fchunk-f1a4fbcf1ed86864b9bfd5e8dba4c683chunk-359187e7571bda4b0b08b2e0b6581e52chunk-503f0bfa5453467c7c61d160a3540ecachunk-9c43dac2fcd5b578242d907ea6f8fc7bchunk-b0f459f5af1c3a5e0b92cbe4ee48b77bchunk-1aa50206d02ed89418f65f97c6441d1cchunk-54bdd22db1f84a965b5f4c06c9216d8dchunk-cb661c37436355ccec2769b1d0350c5fchunk-90d5764e301321c087f5a8f78b73a145chunk-91572b3cd42786ba4cb2f180ca25cbf4chunk-da2472b4ef2a535b62908f14d0fb0ca9chunk-99b0ec7f7e006561352b5d65e849611dchunk-43c9bee23adfa77aa9dedd22401bba7dchunk-83ac129dc9b56f84c46760d153d68e93chunk-e1f29eeadc1d8ab46dc8a0bbd3c56b64chunk-8590d9263cd2cd4fa583c432fc54e6c3chunk-02baee20cc9463dbe08170a8e1043e32chunk-94bea83e7153fc2064aa382b494936a1chunk-74e2466de2f67fd710ef2f20c0a8d9e0chunk-19d72c57ae3408758b18d2568e86dc6b'}> +2024-10-29 13:38:58,277 - lightrag - INFO - get_node:query:MATCH (n:`DEATH`) RETURN n:result:"Death is described as a powerful force in the narrative, represented through the imagery of a cold, rigid presence and the contemplation of mortality.""Death refers to the passing of a character that triggers a range of emotions and reflections among the living, influencing their lives and relationships."', 'source_id': 'chunk-e1f29eeadc1d8ab46dc8a0bbd3c56b64chunk-83ac129dc9b56f84c46760d153d68e93chunk-02baee20cc9463dbe08170a8e1043e32'}> +2024-10-29 13:38:58,366 - lightrag - INFO - get_node:query:MATCH (n:`THE SETTING SUN`) RETURN n:result: +2024-10-29 13:38:58,459 - lightrag - INFO - get_node:query:MATCH (n:`THE PENANCE`) RETURN n:result: +2024-10-29 13:38:58,551 - lightrag - INFO - get_node:query:MATCH (n:`LONDON`) RETURN n:result:"London serves as the setting where the events take place, adding a cultural backdrop to the Christmas gathering."', 'source_id': 'chunk-d9aac3484185ac66045df92214d245d5chunk-43c9bee23adfa77aa9dedd22401bba7d'}> +2024-10-29 13:38:58,644 - lightrag - INFO - get_node:query:MATCH (n:`FEARFUL PLACE`) RETURN n:result: +2024-10-29 13:38:58,737 - lightrag - INFO - get_node:query:MATCH (n:`THE DARK ROOM`) RETURN n:result: +2024-10-29 13:38:58,832 - lightrag - INFO - get_node:query:MATCH (n:`THE COSMIC SIGNIFICANCE`) RETURN n:result: +2024-10-29 13:38:58,928 - lightrag - INFO - get_node:query:MATCH (n:`THE SCHOOLMASTER`) RETURN n:result: +2024-10-29 13:38:59,021 - lightrag - INFO - get_node:query:MATCH (n:`FROST`) RETURN n:result: +2024-10-29 13:38:59,114 - lightrag - INFO - get_node:query:MATCH (n:`SUNDAY CLOTHES BOY`) RETURN n:result: +2024-10-29 13:38:59,205 - lightrag - INFO - get_node:query:MATCH (n:`SCHOOL`) RETURN n:result: +2024-10-29 13:38:59,301 - lightrag - INFO - get_node:query:MATCH (n:`CHRISTMAS-TIME`) RETURN n:result:"Christmas-time represents the festive season, a recurring theme that evokes memories and emotions in Scrooge’s reflections.""Christmas-time serves as a backdrop for the narrative, emphasizing themes of reflection, mortality, and social interactions."', 'source_id': 'chunk-f1a4fbcf1ed86864b9bfd5e8dba4c683chunk-c6c248858d1b13ab7ee9ca13c1aeed6bchunk-5dac41b3f9eeaf794f0147400b1718cd'}> +2024-10-29 13:38:59,395 - lightrag - INFO - get_node:query:MATCH (n:`POVERTY`) RETURN n:result: +2024-10-29 13:38:59,498 - lightrag - INFO - get_node:query:MATCH (n:`THE HOUSE`) RETURN n:result:"The House is the setting where Scrooge experiences the haunting, with a description of its features contributing to the eerie atmosphere."', 'source_id': 'chunk-da2472b4ef2a535b62908f14d0fb0ca9chunk-9c43dac2fcd5b578242d907ea6f8fc7b'}> +2024-10-29 13:38:59,595 - lightrag - INFO - get_node:query:MATCH (n:`THE THREE SPIRITS`) RETURN n:result: +2024-10-29 13:38:59,689 - lightrag - INFO - get_node:query:MATCH (n:`PONDEROUS CHAIN`) RETURN n:result: +2024-10-29 13:38:59,782 - lightrag - INFO - get_node:query:MATCH (n:`CITY`) RETURN n:result:"The City represents the urban setting where Scrooge witnesses the indifference of its inhabitants regarding his death.""The City represents the urban setting where Scrooge\'s transformation takes place, symbolizing the broader society impacted by his changes."', 'source_id': 'chunk-843b5b2f944c7413d9ca876e2e2f151fchunk-94bea83e7153fc2064aa382b494936a1chunk-02baee20cc9463dbe08170a8e1043e32'}> +2024-10-29 13:38:59,875 - lightrag - INFO - get_node:query:MATCH (n:`FOUR-ROOMED HOUSE`) RETURN n:result: +2024-10-29 13:38:59,968 - lightrag - INFO - get_node:query:MATCH (n:`THE CITY`) RETURN n:result:"The City represents the bustling urban environment where Scrooge reflects on his past, filled with activity and shadowy figures.""The City, from which Scrooge is transported, represents his past life and is contrasted with the open country road that signifies his memories."', 'source_id': 'chunk-bb21d58d36c6306fd8810ddd51c4a971chunk-c6c248858d1b13ab7ee9ca13c1aeed6bchunk-74e2466de2f67fd710ef2f20c0a8d9e0'}> +2024-10-29 13:39:00,060 - lightrag - INFO - get_node:query:MATCH (n:`THE DARK NIGHT`) RETURN n:result: +2024-10-29 13:39:00,151 - lightrag - INFO - get_node:query:MATCH (n:`KEYS`) RETURN n:result: +2024-10-29 13:39:00,244 - lightrag - INFO - get_node:query:MATCH (n:`AVARICE`) RETURN n:result: +2024-10-29 13:39:00,336 - lightrag - INFO - get_node:query:MATCH (n:`THE DAUGHTER`) RETURN n:result: +2024-10-29 13:39:00,429 - lightrag - INFO - get_node:query:MATCH (n:`THE COLD`) RETURN n:result: +2024-10-29 13:39:00,525 - lightrag - INFO - get_node:query:MATCH (n:`DEEDS`) RETURN n:result: +2024-10-29 13:39:00,620 - lightrag - INFO - get_node:query:MATCH (n:`THE BEDROOM`) RETURN n:result: +2024-10-29 13:39:00,714 - lightrag - INFO - get_node:query:MATCH (n:`THE BED`) RETURN n:result: +2024-10-29 13:39:00,807 - lightrag - INFO - get_node:query:MATCH (n:`MARKET-TOWN`) RETURN n:result: +2024-10-29 13:39:00,905 - lightrag - INFO - get_node:query:MATCH (n:`SPIRIT`) RETURN n:result:"The Spirit embodies the lessons of compassion and social responsibility, guiding Scrooge through his reflections and realizations.""The Spirit is the manifestation of Scrooge\'s past that guides him through his memories, representing his former self and the influence of time.""The Spirit represents a ghostly entity, guiding Scrooge through visions of potential future events and urging him to acknowledge societal issues.""The Spirit represents a supernatural entity guiding Scrooge through his reflections on life, death, and human emotions, prompting self-awareness.""The Spirit represents the embodiment of the Christmas present, personifying the themes of generosity and merriment."', 'source_id': 'chunk-bb21d58d36c6306fd8810ddd51c4a971chunk-83ac129dc9b56f84c46760d153d68e93chunk-e7637ff18c5ded77a68cce0a87883fadchunk-843b5b2f944c7413d9ca876e2e2f151fchunk-1aa50206d02ed89418f65f97c6441d1cchunk-02baee20cc9463dbe08170a8e1043e32'}> +2024-10-29 13:39:00,997 - lightrag - INFO - get_node:query:MATCH (n:`GHOST`) RETURN n:result:"The Ghost refers to the spirit guiding Scrooge, embodying the themes of memory and reflection on the joys of Christmas.""The Ghost represents a spiritual guide that takes Scrooge on a journey to learn important lessons about compassion and humanity.""The Ghost serves as a supernatural guide for Scrooge, prompting him to reflect on his life and choices."', 'source_id': 'chunk-503f0bfa5453467c7c61d160a3540ecachunk-c6c248858d1b13ab7ee9ca13c1aeed6bchunk-e7637ff18c5ded77a68cce0a87883fadchunk-43c9bee23adfa77aa9dedd22401bba7d'}> +2024-10-29 13:39:01,088 - lightrag - INFO - get_node:query:MATCH (n:`THE SOLITARY CHILD`) RETURN n:result: +2024-10-29 13:39:01,180 - lightrag - INFO - get_node:query:MATCH (n:`WANT`) RETURN n:result: +2024-10-29 13:39:01,270 - lightrag - INFO - get_node:query:MATCH (n:`A CHRISTMAS CAROL`) RETURN n:result: +2024-10-29 13:39:01,360 - lightrag - INFO - get_node:query:MATCH (n:`KIND WORD`) RETURN n:result: +2024-10-29 13:39:01,456 - lightrag - INFO - get_node:query:MATCH (n:`THE GRAVE`) RETURN n:result: +2024-10-29 13:39:01,551 - lightrag - INFO - get_node:query:MATCH (n:`JOE`) RETURN n:result:"Joe is a marine-store dealer depicted as receiving stolen goods, illustrating the consequences of crime and the darker sides of society.""Joe is portrayed as a character engaged in a conversation about the deceased, displaying a mix of humor and practicality in dealing with the possessions of the dead."', 'source_id': 'chunk-89777b838d5447c7bd1ec11282c4ee89chunk-9e3921da66da5d761ab73cd849af6c43chunk-e1f29eeadc1d8ab46dc8a0bbd3c56b64'}> +2024-10-29 13:39:01,646 - lightrag - INFO - get_node:query:MATCH (n:`THE ROOM BY DAYLIGHT`) RETURN n:result: +2024-10-29 13:39:01,743 - lightrag - INFO - get_node:query:MATCH (n:`THE YOUNG GIRL`) RETURN n:result: +2024-10-29 13:39:01,835 - lightrag - INFO - get_node:query:MATCH (n:`THE SPRING`) RETURN n:result: +2024-10-29 13:39:01,929 - lightrag - INFO - get_node:query:MATCH (n:`THE CANDLE`) RETURN n:result: +2024-10-29 13:39:02,022 - lightrag - INFO - get_node:query:MATCH (n:`CHILDREN`) RETURN n:result:"The Children represent the joyful, carefree aspects of Scrooge\'s past, embodying happiness and the innocence of youth that he has long forgotten."', 'source_id': 'chunk-bb21d58d36c6306fd8810ddd51c4a971chunk-e7637ff18c5ded77a68cce0a87883fad'}> +2024-10-29 13:39:02,108 - lightrag - INFO - get_node:query:MATCH (n:`WINTER DAY`) RETURN n:result: +2024-10-29 13:39:02,198 - lightrag - INFO - get_node:query:MATCH (n:`THE AIR`) RETURN n:result: +2024-10-29 13:39:02,286 - lightrag - INFO - get_node:query:MATCH (n:`CHARLES DICKENS`) RETURN n:result: +2024-10-29 13:39:02,375 - lightrag - INFO - get_node:query:MATCH (n:`CHRISTMAS FEAST`) RETURN n:result: +2024-10-29 13:39:02,468 - lightrag - INFO - get_node:query:MATCH (n:`THE CLOTHES AND ITEMS`) RETURN n:result: +2024-10-29 13:39:02,560 - lightrag - INFO - get_node:query:MATCH (n:`THE TRANSPARENT WINDOW`) RETURN n:result: +2024-10-29 13:39:02,653 - lightrag - INFO - get_node:query:MATCH (n:`THE CHAISE`) RETURN n:result: +2024-10-29 13:39:02,746 - lightrag - INFO - get_node:query:MATCH (n:`THE PAST`) RETURN n:result: +2024-10-29 13:39:02,839 - lightrag - INFO - get_node:query:MATCH (n:`SHADOW OF HIMSELF`) RETURN n:result: +2024-10-29 13:39:02,933 - lightrag - INFO - get_node:query:MATCH (n:`THE CANDLE-LIGHT`) RETURN n:result: +2024-10-29 13:39:03,026 - lightrag - INFO - get_node:query:MATCH (n:`THE STREET`) RETURN n:result: +2024-10-29 13:42:59,804 - lightrag - INFO - Logger initialized for working directory: ./neo4jWorkDir +2024-10-29 13:42:59,805 - lightrag - DEBUG - LightRAG init with param: + working_dir = ./neo4jWorkDir, + chunk_token_size = 1200, + chunk_overlap_token_size = 100, + tiktoken_model_name = gpt-4o-mini, + entity_extract_max_gleaning = 1, + entity_summary_to_max_tokens = 500, + node_embedding_algorithm = node2vec, + node2vec_params = {'dimensions': 1536, 'num_walks': 10, 'walk_length': 40, 'window_size': 2, 'iterations': 3, 'random_seed': 3}, + embedding_func = {'embedding_dim': 1536, 'max_token_size': 8192, 'func': }, + embedding_batch_num = 32, + embedding_func_max_async = 16, + llm_model_func = , + llm_model_name = meta-llama/Llama-3.2-1B-Instruct, + llm_model_max_token_size = 32768, + llm_model_max_async = 16, + key_string_value_json_storage_cls = , + vector_db_storage_cls = , + vector_db_storage_cls_kwargs = {}, + graph_storage_cls = , + enable_llm_cache = True, + addon_params = {}, + convert_response_to_json_func = + +2024-10-29 13:42:59,805 - lightrag - INFO - Load KV full_docs with 1 data +2024-10-29 13:42:59,806 - lightrag - INFO - Load KV text_chunks with 42 data +2024-10-29 13:42:59,807 - lightrag - INFO - Load KV llm_response_cache with 86 data +2024-10-29 13:42:59,833 - lightrag - INFO - Creating a new event loop in a sub-thread. +2024-10-29 13:42:59,833 - lightrag - WARNING - All docs are already in the storage +2024-10-29 13:42:59,854 - lightrag - INFO - Creating a new event loop in a sub-thread. +2024-10-29 13:43:00,657 - lightrag - INFO - Truncate 39 to 3 chunks +2024-10-29 13:43:00,665 - lightrag - INFO - Creating a new event loop in a sub-thread. +2024-10-29 13:43:02,624 - lightrag - INFO - get_node:query:MATCH (n:`EMOTION`) RETURN n:result: +2024-10-29 13:43:02,712 - lightrag - INFO - get_node:query:MATCH (n:`DARKNESS`) RETURN n:result: +2024-10-29 13:43:02,800 - lightrag - INFO - get_node:query:MATCH (n:`PONDEROUS CHAIN`) RETURN n:result: +2024-10-29 13:43:02,889 - lightrag - INFO - get_node:query:MATCH (n:`RUSTY KEYS, NAILS, CHAINS, HINGES`) RETURN n:result: +2024-10-29 13:43:02,976 - lightrag - INFO - get_node:query:MATCH (n:`KEYS`) RETURN n:result: +2024-10-29 13:43:03,064 - lightrag - INFO - get_node:query:MATCH (n:`THE CHAIN`) RETURN n:result:"The Chain symbolizes the burdens of the past that haunt the spirits, showcasing the consequences of one\'s actions in life."', 'source_id': 'chunk-359187e7571bda4b0b08b2e0b6581e52chunk-cb661c37436355ccec2769b1d0350c5f'}> +2024-10-29 13:43:03,151 - lightrag - INFO - get_node:query:MATCH (n:`THE COSMIC SIGNIFICANCE`) RETURN n:result: +2024-10-29 13:43:03,240 - lightrag - INFO - get_node:query:MATCH (n:`CHRISTMAS`) RETURN n:result:"Christmas is a festive occasion that has led to a joyful transformation in Scrooge\'s character and actions.""Christmas is a festive time celebrated by the Cratchit family, symbolizing joy, family togetherness, and generosity.""Christmas is a significant holiday that serves as the backdrop for Scrooge\'s transformation and the events that unfold during the narrative.""Christmas is a significant holiday that triggers Scrooge\'s memories and reflections on joy, loneliness, and his past.""Christmas is central to the text, symbolizing generosity, charity, and warmth that Scrooge rejects.""Christmas is depicted as a festive season when charity and social duty are emphasized, contrasting with Scrooge\'s values.""Christmas is depicted as a time associated with joy and abundance, contrasting with Scrooge\'s initial views.""Christmas is depicted as a time of joy and communal spirit, marked by people\'s activities and interactions in the streets.""Christmas is depicted as a time of joy and generosity, contrasting sharply with Scrooge\'s past behavior and current solitude.""Christmas is portrayed as a festive time that Scrooge dismisses, emphasizing the contrast between joy and his miserable attitude.""Christmas is portrayed as a time of joy, reflection, and connection, emphasizing the positive impact of the holiday spirit on individuals and communities.""Christmas is presented as a time for merriment and social gatherings, which Scrooge\'s nephew advocates for despite his uncle\'s opposition.""Christmas is the central holiday during which the events unfold, leading to significant character transformations and themes of generosity.""Christmas is the season during which festive activities and celebrations are occurring, including dances and gatherings.""Christmas represents a time of reflection and change for Scrooge, emphasizing themes of redemption.""Christmas serves as a thematic backdrop for the story, symbolizing redemption, generosity, and the spirit of giving."', 'source_id': 'chunk-91614df5cb74cbe5e109a338a82041e9chunk-503f0bfa5453467c7c61d160a3540ecachunk-773d0df1dd25c356f7b771d780583e09chunk-8f738cb25d60a7dab782162d9d0a25edchunk-e7637ff18c5ded77a68cce0a87883fadchunk-8590d9263cd2cd4fa583c432fc54e6c3chunk-54bdd22db1f84a965b5f4c06c9216d8dchunk-02baee20cc9463dbe08170a8e1043e32chunk-90d5764e301321c087f5a8f78b73a145chunk-91572b3cd42786ba4cb2f180ca25cbf4chunk-1d4b58de5429cd1261370c231c8673e8chunk-da2472b4ef2a535b62908f14d0fb0ca9chunk-94bea83e7153fc2064aa382b494936a1chunk-89777b838d5447c7bd1ec11282c4ee89chunk-99b0ec7f7e006561352b5d65e849611dchunk-74e2466de2f67fd710ef2f20c0a8d9e0chunk-5dac41b3f9eeaf794f0147400b1718cd'}> +2024-10-29 13:43:03,330 - lightrag - INFO - get_node:query:MATCH (n:`DEATH`) RETURN n:result:"Death is described as a powerful force in the narrative, represented through the imagery of a cold, rigid presence and the contemplation of mortality.""Death refers to the passing of a character that triggers a range of emotions and reflections among the living, influencing their lives and relationships."', 'source_id': 'chunk-e1f29eeadc1d8ab46dc8a0bbd3c56b64chunk-83ac129dc9b56f84c46760d153d68e93chunk-02baee20cc9463dbe08170a8e1043e32'}> +2024-10-29 13:43:03,418 - lightrag - INFO - get_node:query:MATCH (n:`THE PHANTOM`) RETURN n:result: +2024-10-29 13:43:03,508 - lightrag - INFO - get_node:query:MATCH (n:`THE BED`) RETURN n:result: +2024-10-29 13:43:03,601 - lightrag - INFO - get_node:query:MATCH (n:`KEYHOLE`) RETURN n:result: +2024-10-29 13:43:03,688 - lightrag - INFO - get_node:query:MATCH (n:`THE CLOTHES AND ITEMS`) RETURN n:result: +2024-10-29 13:43:03,779 - lightrag - INFO - get_node:query:MATCH (n:`THE SETTING SUN`) RETURN n:result: +2024-10-29 13:43:03,872 - lightrag - INFO - get_node:query:MATCH (n:`THE GRAVE`) RETURN n:result: +2024-10-29 13:43:03,962 - lightrag - INFO - get_node:query:MATCH (n:`THE TRANSPARENT WINDOW`) RETURN n:result: +2024-10-29 13:43:04,051 - lightrag - INFO - get_node:query:MATCH (n:`THE ROOM BY DAYLIGHT`) RETURN n:result: +2024-10-29 13:43:04,143 - lightrag - INFO - get_node:query:MATCH (n:`CHRISTMAS HOLIDAYS`) RETURN n:result: +2024-10-29 13:43:04,228 - lightrag - INFO - get_node:query:MATCH (n:`DEEDS`) RETURN n:result: +2024-10-29 13:43:04,317 - lightrag - INFO - get_node:query:MATCH (n:`HUMANITY`) RETURN n:result: +2024-10-29 13:43:04,407 - lightrag - INFO - get_node:query:MATCH (n:`THE COLD`) RETURN n:result: +2024-10-29 13:43:04,496 - lightrag - INFO - get_node:query:MATCH (n:`IRON CABLE`) RETURN n:result: +2024-10-29 13:43:04,586 - lightrag - INFO - get_node:query:MATCH (n:`THE CANDLE`) RETURN n:result: +2024-10-29 13:43:04,673 - lightrag - INFO - get_node:query:MATCH (n:`FEARFUL PLACE`) RETURN n:result: +2024-10-29 13:43:04,762 - lightrag - INFO - get_node:query:MATCH (n:`FROST`) RETURN n:result: +2024-10-29 13:43:04,852 - lightrag - INFO - get_node:query:MATCH (n:`AVARICE`) RETURN n:result: +2024-10-29 13:43:04,945 - lightrag - INFO - get_node:query:MATCH (n:`SCROOGE`) RETURN n:result:chunk-b2f98bc7abb0c67d4c86055c7fd72218chunk-91614df5cb74cbe5e109a338a82041e9chunk-8f738cb25d60a7dab782162d9d0a25edchunk-e7637ff18c5ded77a68cce0a87883fadchunk-d9aac3484185ac66045df92214d245d5chunk-90b95db5c53e4364a6bee36b7aa4d70fchunk-89777b838d5447c7bd1ec11282c4ee89chunk-c6c248858d1b13ab7ee9ca13c1aeed6bchunk-5dac41b3f9eeaf794f0147400b1718cdchunk-773d0df1dd25c356f7b771d780583e09chunk-843b5b2f944c7413d9ca876e2e2f151fchunk-f1a4fbcf1ed86864b9bfd5e8dba4c683chunk-359187e7571bda4b0b08b2e0b6581e52chunk-503f0bfa5453467c7c61d160a3540ecachunk-9c43dac2fcd5b578242d907ea6f8fc7bchunk-b0f459f5af1c3a5e0b92cbe4ee48b77bchunk-1aa50206d02ed89418f65f97c6441d1cchunk-54bdd22db1f84a965b5f4c06c9216d8dchunk-cb661c37436355ccec2769b1d0350c5fchunk-90d5764e301321c087f5a8f78b73a145chunk-91572b3cd42786ba4cb2f180ca25cbf4chunk-da2472b4ef2a535b62908f14d0fb0ca9chunk-99b0ec7f7e006561352b5d65e849611dchunk-43c9bee23adfa77aa9dedd22401bba7dchunk-83ac129dc9b56f84c46760d153d68e93chunk-e1f29eeadc1d8ab46dc8a0bbd3c56b64chunk-8590d9263cd2cd4fa583c432fc54e6c3chunk-02baee20cc9463dbe08170a8e1043e32chunk-94bea83e7153fc2064aa382b494936a1chunk-74e2466de2f67fd710ef2f20c0a8d9e0chunk-19d72c57ae3408758b18d2568e86dc6b'}> +2024-10-29 13:43:05,033 - lightrag - INFO - get_node:query:MATCH (n:`SHADOW OF HIMSELF`) RETURN n:result: +2024-10-29 13:43:05,120 - lightrag - INFO - get_node:query:MATCH (n:`THE BLESSED STAR`) RETURN n:result: +2024-10-29 13:43:05,205 - lightrag - INFO - get_node:query:MATCH (n:`THE FIREPLACE`) RETURN n:result: +2024-10-29 13:43:05,293 - lightrag - INFO - get_node:query:MATCH (n:`THE FLANNEL BAG`) RETURN n:result: +2024-10-29 13:43:05,380 - lightrag - INFO - get_node:query:MATCH (n:`MAN`) RETURN n:result: +2024-10-29 13:43:05,465 - lightrag - INFO - get_node:query:MATCH (n:`THE BOTTLE`) RETURN n:result: +2024-10-29 13:43:05,552 - lightrag - INFO - get_node:query:MATCH (n:`THE THREE SPIRITS`) RETURN n:result: +2024-10-29 13:43:05,638 - lightrag - INFO - get_node:query:MATCH (n:`SPIRIT`) RETURN n:result:"The Spirit embodies the lessons of compassion and social responsibility, guiding Scrooge through his reflections and realizations.""The Spirit is the manifestation of Scrooge\'s past that guides him through his memories, representing his former self and the influence of time.""The Spirit represents a ghostly entity, guiding Scrooge through visions of potential future events and urging him to acknowledge societal issues.""The Spirit represents a supernatural entity guiding Scrooge through his reflections on life, death, and human emotions, prompting self-awareness.""The Spirit represents the embodiment of the Christmas present, personifying the themes of generosity and merriment."', 'source_id': 'chunk-bb21d58d36c6306fd8810ddd51c4a971chunk-83ac129dc9b56f84c46760d153d68e93chunk-e7637ff18c5ded77a68cce0a87883fadchunk-843b5b2f944c7413d9ca876e2e2f151fchunk-1aa50206d02ed89418f65f97c6441d1cchunk-02baee20cc9463dbe08170a8e1043e32'}> +2024-10-29 13:43:05,725 - lightrag - INFO - get_node:query:MATCH (n:`PADLOCKS`) RETURN n:result: +2024-10-29 13:43:05,815 - lightrag - INFO - get_node:query:MATCH (n:`THE PENANCE`) RETURN n:result: +2024-10-29 13:43:05,903 - lightrag - INFO - get_node:query:MATCH (n:`POVERTY`) RETURN n:result: +2024-10-29 13:43:05,990 - lightrag - INFO - get_node:query:MATCH (n:`THE DAUGHTER`) RETURN n:result: +2024-10-29 13:43:06,076 - lightrag - INFO - get_node:query:MATCH (n:`THE DARK ROOM`) RETURN n:result: +2024-10-29 13:43:06,162 - lightrag - INFO - get_node:query:MATCH (n:`WANT`) RETURN n:result: +2024-10-29 13:43:06,251 - lightrag - INFO - get_node:query:MATCH (n:`THE BEDROOM`) RETURN n:result: +2024-10-29 13:43:06,340 - lightrag - INFO - get_node:query:MATCH (n:`THE CHAISE`) RETURN n:result: +2024-10-29 13:43:06,433 - lightrag - INFO - get_node:query:MATCH (n:`THE SPRING`) RETURN n:result: +2024-10-29 13:43:06,522 - lightrag - INFO - get_node:query:MATCH (n:`CITY`) RETURN n:result:"The City represents the urban setting where Scrooge witnesses the indifference of its inhabitants regarding his death.""The City represents the urban setting where Scrooge\'s transformation takes place, symbolizing the broader society impacted by his changes."', 'source_id': 'chunk-843b5b2f944c7413d9ca876e2e2f151fchunk-94bea83e7153fc2064aa382b494936a1chunk-02baee20cc9463dbe08170a8e1043e32'}> +2024-10-29 13:43:06,611 - lightrag - INFO - get_node:query:MATCH (n:`THE CANDLE-LIGHT`) RETURN n:result: +2024-10-29 13:43:06,700 - lightrag - INFO - get_node:query:MATCH (n:`THE MOTHER`) RETURN n:result:"The Mother is a character associated with the family dynamics during the Christmas scene, though her actions are not explicitly detailed.""The Mother is depicted as a comely matron, who enjoys the laughter and chaos with her children, showing warmth and family value."', 'source_id': 'chunk-da2472b4ef2a535b62908f14d0fb0ca9chunk-83ac129dc9b56f84c46760d153d68e93chunk-54bdd22db1f84a965b5f4c06c9216d8d'}> +2024-10-29 13:43:06,788 - lightrag - INFO - get_node:query:MATCH (n:`SCHOOL`) RETURN n:result: +2024-10-29 13:43:06,879 - lightrag - INFO - get_node:query:MATCH (n:`HEALTH`) RETURN n:result: +2024-10-29 13:43:06,968 - lightrag - INFO - get_node:query:MATCH (n:`THE DARK CHAMBER`) RETURN n:result: +2024-10-29 13:43:07,057 - lightrag - INFO - get_node:query:MATCH (n:`CASH-BOXES`) RETURN n:result: +2024-10-29 13:43:07,145 - lightrag - INFO - get_node:query:MATCH (n:`CHRISTMAS-TIME`) RETURN n:result:"Christmas-time represents the festive season, a recurring theme that evokes memories and emotions in Scrooge’s reflections.""Christmas-time serves as a backdrop for the narrative, emphasizing themes of reflection, mortality, and social interactions."', 'source_id': 'chunk-f1a4fbcf1ed86864b9bfd5e8dba4c683chunk-c6c248858d1b13ab7ee9ca13c1aeed6bchunk-5dac41b3f9eeaf794f0147400b1718cd'}> +2024-10-29 13:43:07,237 - lightrag - INFO - get_node:query:MATCH (n:`THE DARKNESS`) RETURN n:result: +2024-10-29 13:43:07,323 - lightrag - INFO - get_node:query:MATCH (n:`THE BANDAGE`) RETURN n:result: +2024-10-29 13:43:07,414 - lightrag - INFO - get_node:query:MATCH (n:`THE BLANKETS`) RETURN n:result: +2024-10-29 13:43:07,501 - lightrag - INFO - get_node:query:MATCH (n:`MARLEY`) RETURN n:result:"Marley is Scrooge\'s deceased partner whose death is emphasized, and who impacts Scrooge\'s story through memories and reflections.""Marley is a character who, although only mentioned, has had a significant influence on Scrooge\'s life and perspective, representing his past connections.""Marley is a deceased character whose ghost appears to Scrooge, representing regret and the consequences of a life led without compassion."', 'source_id': 'chunk-d9aac3484185ac66045df92214d245d5chunk-843b5b2f944c7413d9ca876e2e2f151fchunk-89777b838d5447c7bd1ec11282c4ee89chunk-9c43dac2fcd5b578242d907ea6f8fc7b'}> +2024-10-29 13:43:07,593 - lightrag - INFO - get_node:query:MATCH (n:`THE DARK NIGHT`) RETURN n:result: +2024-10-29 13:43:07,682 - lightrag - INFO - get_node:query:MATCH (n:`THE CRATCHIT FAMILY`) RETURN n:result: +2024-10-29 13:43:07,770 - lightrag - INFO - get_node:query:MATCH (n:`PLATES`) RETURN n:result: +2024-10-29 13:43:07,857 - lightrag - INFO - get_node:query:MATCH (n:`THE LIGHTHOUSE`) RETURN n:result: +2024-10-29 13:46:32,109 - lightrag - INFO - Logger initialized for working directory: ./neo4jWorkDir +2024-10-29 13:46:32,109 - lightrag - DEBUG - LightRAG init with param: + working_dir = ./neo4jWorkDir, + chunk_token_size = 1200, + chunk_overlap_token_size = 100, + tiktoken_model_name = gpt-4o-mini, + entity_extract_max_gleaning = 1, + entity_summary_to_max_tokens = 500, + node_embedding_algorithm = node2vec, + node2vec_params = {'dimensions': 1536, 'num_walks': 10, 'walk_length': 40, 'window_size': 2, 'iterations': 3, 'random_seed': 3}, + embedding_func = {'embedding_dim': 1536, 'max_token_size': 8192, 'func': }, + embedding_batch_num = 32, + embedding_func_max_async = 16, + llm_model_func = , + llm_model_name = meta-llama/Llama-3.2-1B-Instruct, + llm_model_max_token_size = 32768, + llm_model_max_async = 16, + key_string_value_json_storage_cls = , + vector_db_storage_cls = , + vector_db_storage_cls_kwargs = {}, + graph_storage_cls = , + enable_llm_cache = True, + addon_params = {}, + convert_response_to_json_func = + +2024-10-29 13:46:32,110 - lightrag - INFO - Load KV full_docs with 1 data +2024-10-29 13:46:32,111 - lightrag - INFO - Load KV text_chunks with 42 data +2024-10-29 13:46:32,112 - lightrag - INFO - Load KV llm_response_cache with 86 data +2024-10-29 13:46:32,132 - lightrag - INFO - Creating a new event loop in a sub-thread. +2024-10-29 13:46:32,133 - lightrag - WARNING - All docs are already in the storage +2024-10-29 13:46:32,172 - lightrag - INFO - Creating a new event loop in a sub-thread. +2024-10-29 13:46:32,878 - lightrag - INFO - Truncate 39 to 3 chunks +2024-10-29 13:46:32,891 - lightrag - INFO - Creating a new event loop in a sub-thread. +2024-10-29 13:46:35,270 - lightrag - INFO - get_node:query:MATCH (n:`EMOTION`) RETURN n:result: +2024-10-29 13:46:35,389 - lightrag - INFO - get_node:query:MATCH (n:`DARKNESS`) RETURN n:result: +2024-10-29 13:46:35,517 - lightrag - INFO - get_node:query:MATCH (n:`RUSTY KEYS, NAILS, CHAINS, HINGES`) RETURN n:result: +2024-10-29 13:46:35,625 - lightrag - INFO - get_node:query:MATCH (n:`DEATH`) RETURN n:result:"Death is described as a powerful force in the narrative, represented through the imagery of a cold, rigid presence and the contemplation of mortality.""Death refers to the passing of a character that triggers a range of emotions and reflections among the living, influencing their lives and relationships."', 'source_id': 'chunk-e1f29eeadc1d8ab46dc8a0bbd3c56b64chunk-83ac129dc9b56f84c46760d153d68e93chunk-02baee20cc9463dbe08170a8e1043e32'}> +2024-10-29 13:46:35,729 - lightrag - INFO - get_node:query:MATCH (n:`PONDEROUS CHAIN`) RETURN n:result: +2024-10-29 13:46:35,838 - lightrag - INFO - get_node:query:MATCH (n:`CHRISTMAS HOLIDAYS`) RETURN n:result: +2024-10-29 13:46:35,956 - lightrag - INFO - get_node:query:MATCH (n:`CHRISTMAS`) RETURN n:result:"Christmas is a festive occasion that has led to a joyful transformation in Scrooge\'s character and actions.""Christmas is a festive time celebrated by the Cratchit family, symbolizing joy, family togetherness, and generosity.""Christmas is a significant holiday that serves as the backdrop for Scrooge\'s transformation and the events that unfold during the narrative.""Christmas is a significant holiday that triggers Scrooge\'s memories and reflections on joy, loneliness, and his past.""Christmas is central to the text, symbolizing generosity, charity, and warmth that Scrooge rejects.""Christmas is depicted as a festive season when charity and social duty are emphasized, contrasting with Scrooge\'s values.""Christmas is depicted as a time associated with joy and abundance, contrasting with Scrooge\'s initial views.""Christmas is depicted as a time of joy and communal spirit, marked by people\'s activities and interactions in the streets.""Christmas is depicted as a time of joy and generosity, contrasting sharply with Scrooge\'s past behavior and current solitude.""Christmas is portrayed as a festive time that Scrooge dismisses, emphasizing the contrast between joy and his miserable attitude.""Christmas is portrayed as a time of joy, reflection, and connection, emphasizing the positive impact of the holiday spirit on individuals and communities.""Christmas is presented as a time for merriment and social gatherings, which Scrooge\'s nephew advocates for despite his uncle\'s opposition.""Christmas is the central holiday during which the events unfold, leading to significant character transformations and themes of generosity.""Christmas is the season during which festive activities and celebrations are occurring, including dances and gatherings.""Christmas represents a time of reflection and change for Scrooge, emphasizing themes of redemption.""Christmas serves as a thematic backdrop for the story, symbolizing redemption, generosity, and the spirit of giving."', 'source_id': 'chunk-91614df5cb74cbe5e109a338a82041e9chunk-503f0bfa5453467c7c61d160a3540ecachunk-773d0df1dd25c356f7b771d780583e09chunk-8f738cb25d60a7dab782162d9d0a25edchunk-e7637ff18c5ded77a68cce0a87883fadchunk-8590d9263cd2cd4fa583c432fc54e6c3chunk-54bdd22db1f84a965b5f4c06c9216d8dchunk-02baee20cc9463dbe08170a8e1043e32chunk-90d5764e301321c087f5a8f78b73a145chunk-91572b3cd42786ba4cb2f180ca25cbf4chunk-1d4b58de5429cd1261370c231c8673e8chunk-da2472b4ef2a535b62908f14d0fb0ca9chunk-94bea83e7153fc2064aa382b494936a1chunk-89777b838d5447c7bd1ec11282c4ee89chunk-99b0ec7f7e006561352b5d65e849611dchunk-74e2466de2f67fd710ef2f20c0a8d9e0chunk-5dac41b3f9eeaf794f0147400b1718cd'}> +2024-10-29 13:46:36,090 - lightrag - INFO - get_node:query:MATCH (n:`KEYHOLE`) RETURN n:result: +2024-10-29 13:46:36,237 - lightrag - INFO - get_node:query:MATCH (n:`THE PHANTOM`) RETURN n:result: +2024-10-29 13:46:36,346 - lightrag - INFO - get_node:query:MATCH (n:`FROST`) RETURN n:result: +2024-10-29 13:46:36,450 - lightrag - INFO - get_node:query:MATCH (n:`THE COSMIC SIGNIFICANCE`) RETURN n:result: +2024-10-29 13:46:36,555 - lightrag - INFO - get_node:query:MATCH (n:`THE ROOM BY DAYLIGHT`) RETURN n:result: +2024-10-29 13:46:36,662 - lightrag - INFO - get_node:query:MATCH (n:`THE TRANSPARENT WINDOW`) RETURN n:result: +2024-10-29 13:46:36,764 - lightrag - INFO - get_node:query:MATCH (n:`HUMANITY`) RETURN n:result: +2024-10-29 13:46:36,871 - lightrag - INFO - get_node:query:MATCH (n:`THE CHAIN`) RETURN n:result:"The Chain symbolizes the burdens of the past that haunt the spirits, showcasing the consequences of one\'s actions in life."', 'source_id': 'chunk-359187e7571bda4b0b08b2e0b6581e52chunk-cb661c37436355ccec2769b1d0350c5f'}> +2024-10-29 13:46:36,972 - lightrag - INFO - get_node:query:MATCH (n:`THE BED`) RETURN n:result: +2024-10-29 13:46:37,073 - lightrag - INFO - get_node:query:MATCH (n:`THE SETTING SUN`) RETURN n:result: +2024-10-29 13:46:37,186 - lightrag - INFO - get_node:query:MATCH (n:`MAN`) RETURN n:result: +2024-10-29 13:46:37,291 - lightrag - INFO - get_node:query:MATCH (n:`THE CANDLE`) RETURN n:result: +2024-10-29 13:46:37,391 - lightrag - INFO - get_node:query:MATCH (n:`THE SPRING`) RETURN n:result: +2024-10-29 13:46:37,498 - lightrag - INFO - get_node:query:MATCH (n:`THE COLD`) RETURN n:result: +2024-10-29 13:46:37,601 - lightrag - INFO - get_node:query:MATCH (n:`THE FIREPLACE`) RETURN n:result: +2024-10-29 13:46:37,701 - lightrag - INFO - get_node:query:MATCH (n:`FEARFUL PLACE`) RETURN n:result: +2024-10-29 13:46:37,800 - lightrag - INFO - get_node:query:MATCH (n:`SCROOGE`) RETURN n:result:chunk-b2f98bc7abb0c67d4c86055c7fd72218chunk-91614df5cb74cbe5e109a338a82041e9chunk-8f738cb25d60a7dab782162d9d0a25edchunk-e7637ff18c5ded77a68cce0a87883fadchunk-d9aac3484185ac66045df92214d245d5chunk-90b95db5c53e4364a6bee36b7aa4d70fchunk-89777b838d5447c7bd1ec11282c4ee89chunk-c6c248858d1b13ab7ee9ca13c1aeed6bchunk-5dac41b3f9eeaf794f0147400b1718cdchunk-773d0df1dd25c356f7b771d780583e09chunk-843b5b2f944c7413d9ca876e2e2f151fchunk-f1a4fbcf1ed86864b9bfd5e8dba4c683chunk-359187e7571bda4b0b08b2e0b6581e52chunk-503f0bfa5453467c7c61d160a3540ecachunk-9c43dac2fcd5b578242d907ea6f8fc7bchunk-b0f459f5af1c3a5e0b92cbe4ee48b77bchunk-1aa50206d02ed89418f65f97c6441d1cchunk-54bdd22db1f84a965b5f4c06c9216d8dchunk-cb661c37436355ccec2769b1d0350c5fchunk-90d5764e301321c087f5a8f78b73a145chunk-91572b3cd42786ba4cb2f180ca25cbf4chunk-da2472b4ef2a535b62908f14d0fb0ca9chunk-99b0ec7f7e006561352b5d65e849611dchunk-43c9bee23adfa77aa9dedd22401bba7dchunk-83ac129dc9b56f84c46760d153d68e93chunk-e1f29eeadc1d8ab46dc8a0bbd3c56b64chunk-8590d9263cd2cd4fa583c432fc54e6c3chunk-02baee20cc9463dbe08170a8e1043e32chunk-94bea83e7153fc2064aa382b494936a1chunk-74e2466de2f67fd710ef2f20c0a8d9e0chunk-19d72c57ae3408758b18d2568e86dc6b'}> +2024-10-29 13:46:37,900 - lightrag - INFO - get_node:query:MATCH (n:`SHADOW OF HIMSELF`) RETURN n:result: +2024-10-29 13:46:38,000 - lightrag - INFO - get_node:query:MATCH (n:`THE DARK ROOM`) RETURN n:result: +2024-10-29 13:46:38,097 - lightrag - INFO - get_node:query:MATCH (n:`KEYS`) RETURN n:result: +2024-10-29 13:46:38,223 - lightrag - INFO - get_node:query:MATCH (n:`THE CANDLE-LIGHT`) RETURN n:result: +2024-10-29 13:46:38,330 - lightrag - INFO - get_node:query:MATCH (n:`CHRISTMAS-TIME`) RETURN n:result:"Christmas-time represents the festive season, a recurring theme that evokes memories and emotions in Scrooge’s reflections.""Christmas-time serves as a backdrop for the narrative, emphasizing themes of reflection, mortality, and social interactions."', 'source_id': 'chunk-f1a4fbcf1ed86864b9bfd5e8dba4c683chunk-c6c248858d1b13ab7ee9ca13c1aeed6bchunk-5dac41b3f9eeaf794f0147400b1718cd'}> +2024-10-29 13:46:38,464 - lightrag - INFO - get_node:query:MATCH (n:`THE GRAVE`) RETURN n:result: +2024-10-29 13:46:38,562 - lightrag - INFO - get_node:query:MATCH (n:`WINTER DAY`) RETURN n:result: +2024-10-29 13:46:38,665 - lightrag - INFO - get_node:query:MATCH (n:`THE THREE SPIRITS`) RETURN n:result: +2024-10-29 13:46:38,763 - lightrag - INFO - get_node:query:MATCH (n:`THE CLOTHES AND ITEMS`) RETURN n:result: +2024-10-29 13:46:38,866 - lightrag - INFO - get_node:query:MATCH (n:`THE SHIP`) RETURN n:result: +2024-10-29 13:46:38,966 - lightrag - INFO - get_node:query:MATCH (n:`THE DAUGHTER`) RETURN n:result: +2024-10-29 13:46:39,064 - lightrag - INFO - get_node:query:MATCH (n:`THE PENANCE`) RETURN n:result: +2024-10-29 13:46:39,162 - lightrag - INFO - get_node:query:MATCH (n:`CITY`) RETURN n:result:"The City represents the urban setting where Scrooge witnesses the indifference of its inhabitants regarding his death.""The City represents the urban setting where Scrooge\'s transformation takes place, symbolizing the broader society impacted by his changes."', 'source_id': 'chunk-843b5b2f944c7413d9ca876e2e2f151fchunk-94bea83e7153fc2064aa382b494936a1chunk-02baee20cc9463dbe08170a8e1043e32'}> +2024-10-29 13:46:39,260 - lightrag - INFO - get_node:query:MATCH (n:`THE BLANKETS`) RETURN n:result: +2024-10-29 13:46:39,359 - lightrag - INFO - get_node:query:MATCH (n:`THE FLANNEL BAG`) RETURN n:result: +2024-10-29 13:46:39,458 - lightrag - INFO - get_node:query:MATCH (n:`THE BEDROOM`) RETURN n:result: +2024-10-29 13:46:39,555 - lightrag - INFO - get_node:query:MATCH (n:`THE CLOCK`) RETURN n:result:"The Clock is mentioned as malfunctioning, which symbolizes the confusion and distortion of time that Scrooge experiences during his nighttime visitations."', 'source_id': 'chunk-c7b10789a9cb0af6c553730b29bd9034chunk-cb661c37436355ccec2769b1d0350c5f'}> +2024-10-29 13:46:39,652 - lightrag - INFO - get_node:query:MATCH (n:`IRON CABLE`) RETURN n:result: +2024-10-29 13:46:39,749 - lightrag - INFO - get_node:query:MATCH (n:`THE DARK NIGHT`) RETURN n:result: +2024-10-29 13:46:39,845 - lightrag - INFO - get_node:query:MATCH (n:`DEEDS`) RETURN n:result: +2024-10-29 13:46:39,944 - lightrag - INFO - get_node:query:MATCH (n:`THE SOLITARY CHILD`) RETURN n:result: +2024-10-29 13:46:40,040 - lightrag - INFO - get_node:query:MATCH (n:`THE BOTTLE`) RETURN n:result: +2024-10-29 13:46:40,138 - lightrag - INFO - get_node:query:MATCH (n:`POVERTY`) RETURN n:result: +2024-10-29 13:46:40,233 - lightrag - INFO - get_node:query:MATCH (n:`THE MOTHER`) RETURN n:result:"The Mother is a character associated with the family dynamics during the Christmas scene, though her actions are not explicitly detailed.""The Mother is depicted as a comely matron, who enjoys the laughter and chaos with her children, showing warmth and family value."', 'source_id': 'chunk-da2472b4ef2a535b62908f14d0fb0ca9chunk-83ac129dc9b56f84c46760d153d68e93chunk-54bdd22db1f84a965b5f4c06c9216d8d'}> +2024-10-29 13:46:40,333 - lightrag - INFO - get_node:query:MATCH (n:`SPIRIT`) RETURN n:result:"The Spirit embodies the lessons of compassion and social responsibility, guiding Scrooge through his reflections and realizations.""The Spirit is the manifestation of Scrooge\'s past that guides him through his memories, representing his former self and the influence of time.""The Spirit represents a ghostly entity, guiding Scrooge through visions of potential future events and urging him to acknowledge societal issues.""The Spirit represents a supernatural entity guiding Scrooge through his reflections on life, death, and human emotions, prompting self-awareness.""The Spirit represents the embodiment of the Christmas present, personifying the themes of generosity and merriment."', 'source_id': 'chunk-bb21d58d36c6306fd8810ddd51c4a971chunk-83ac129dc9b56f84c46760d153d68e93chunk-e7637ff18c5ded77a68cce0a87883fadchunk-843b5b2f944c7413d9ca876e2e2f151fchunk-1aa50206d02ed89418f65f97c6441d1cchunk-02baee20cc9463dbe08170a8e1043e32'}> +2024-10-29 13:46:40,436 - lightrag - INFO - get_node:query:MATCH (n:`THE LIGHTHOUSE`) RETURN n:result: +2024-10-29 13:46:40,534 - lightrag - INFO - get_node:query:MATCH (n:`TWO YOUNG CRATCHITS`) RETURN n:result: +2024-10-29 13:46:40,629 - lightrag - INFO - get_node:query:MATCH (n:`WANT`) RETURN n:result: +2024-10-29 13:46:40,727 - lightrag - INFO - get_node:query:MATCH (n:`LONDON`) RETURN n:result:"London serves as the setting where the events take place, adding a cultural backdrop to the Christmas gathering."', 'source_id': 'chunk-d9aac3484185ac66045df92214d245d5chunk-43c9bee23adfa77aa9dedd22401bba7d'}> +2024-10-29 13:46:40,826 - lightrag - INFO - get_node:query:MATCH (n:`DREAM`) RETURN n:result: +2024-10-29 13:46:40,923 - lightrag - INFO - get_node:query:MATCH (n:`JOE`) RETURN n:result:"Joe is a marine-store dealer depicted as receiving stolen goods, illustrating the consequences of crime and the darker sides of society.""Joe is portrayed as a character engaged in a conversation about the deceased, displaying a mix of humor and practicality in dealing with the possessions of the dead."', 'source_id': 'chunk-89777b838d5447c7bd1ec11282c4ee89chunk-9e3921da66da5d761ab73cd849af6c43chunk-e1f29eeadc1d8ab46dc8a0bbd3c56b64'}> +2024-10-29 13:46:41,031 - lightrag - INFO - get_node:query:MATCH (n:`PADLOCKS`) RETURN n:result: +2024-10-29 13:46:41,144 - lightrag - INFO - get_node:query:MATCH (n:`IGNORANCE`) RETURN n:result:"Ignorance is personified as a boy that symbolizes the dangers of ignoring social issues and the consequences of a lack of awareness."', 'source_id': 'chunk-02baee20cc9463dbe08170a8e1043e32chunk-e7637ff18c5ded77a68cce0a87883fad'}> +2024-10-29 13:46:41,257 - lightrag - INFO - get_node:query:MATCH (n:`THE WORK ON THE TABLE`) RETURN n:result: +2024-10-29 13:46:41,355 - lightrag - INFO - get_node:query:MATCH (n:`THE FOG`) RETURN n:result: +2024-10-29 13:46:41,457 - lightrag - INFO - get_node:query:MATCH (n:`THE CITY`) RETURN n:result:"The City represents the bustling urban environment where Scrooge reflects on his past, filled with activity and shadowy figures.""The City, from which Scrooge is transported, represents his past life and is contrasted with the open country road that signifies his memories."', 'source_id': 'chunk-bb21d58d36c6306fd8810ddd51c4a971chunk-c6c248858d1b13ab7ee9ca13c1aeed6bchunk-74e2466de2f67fd710ef2f20c0a8d9e0'}> +2024-10-29 13:51:39,719 - lightrag - INFO - Logger initialized for working directory: ./neo4jWorkDir +2024-10-29 13:51:39,719 - lightrag - DEBUG - LightRAG init with param: + working_dir = ./neo4jWorkDir, + chunk_token_size = 1200, + chunk_overlap_token_size = 100, + tiktoken_model_name = gpt-4o-mini, + entity_extract_max_gleaning = 1, + entity_summary_to_max_tokens = 500, + node_embedding_algorithm = node2vec, + node2vec_params = {'dimensions': 1536, 'num_walks': 10, 'walk_length': 40, 'window_size': 2, 'iterations': 3, 'random_seed': 3}, + embedding_func = {'embedding_dim': 1536, 'max_token_size': 8192, 'func': }, + embedding_batch_num = 32, + embedding_func_max_async = 16, + llm_model_func = , + llm_model_name = meta-llama/Llama-3.2-1B-Instruct, + llm_model_max_token_size = 32768, + llm_model_max_async = 16, + key_string_value_json_storage_cls = , + vector_db_storage_cls = , + vector_db_storage_cls_kwargs = {}, + graph_storage_cls = , + enable_llm_cache = True, + addon_params = {}, + convert_response_to_json_func = + +2024-10-29 13:51:39,720 - lightrag - INFO - Load KV full_docs with 1 data +2024-10-29 13:51:39,720 - lightrag - INFO - Load KV text_chunks with 42 data +2024-10-29 13:51:39,721 - lightrag - INFO - Load KV llm_response_cache with 86 data +2024-10-29 13:51:39,745 - lightrag - INFO - Creating a new event loop in a sub-thread. +2024-10-29 13:51:39,746 - lightrag - WARNING - All docs are already in the storage +2024-10-29 13:51:39,767 - lightrag - INFO - Creating a new event loop in a sub-thread. +2024-10-29 13:51:40,368 - lightrag - INFO - Truncate 39 to 3 chunks +2024-10-29 13:51:40,380 - lightrag - INFO - Creating a new event loop in a sub-thread. +2024-10-29 13:51:42,430 - lightrag - INFO - get_node:query:MATCH (n:`EMOTION`) RETURN n:result: +2024-10-29 13:51:42,534 - lightrag - INFO - get_node:query:MATCH (n:`DARKNESS`) RETURN n:result: +2024-10-29 13:51:42,636 - lightrag - INFO - get_node:query:MATCH (n:`THE COSMIC SIGNIFICANCE`) RETURN n:result: +2024-10-29 13:51:42,737 - lightrag - INFO - get_node:query:MATCH (n:`PONDEROUS CHAIN`) RETURN n:result: +2024-10-29 13:51:42,837 - lightrag - INFO - get_node:query:MATCH (n:`HUMANITY`) RETURN n:result: +2024-10-29 13:51:42,940 - lightrag - INFO - get_node:query:MATCH (n:`THE PHANTOM`) RETURN n:result: +2024-10-29 13:51:43,044 - lightrag - INFO - get_node:query:MATCH (n:`CHRISTMAS`) RETURN n:result:"Christmas is a festive occasion that has led to a joyful transformation in Scrooge\'s character and actions.""Christmas is a festive time celebrated by the Cratchit family, symbolizing joy, family togetherness, and generosity.""Christmas is a significant holiday that serves as the backdrop for Scrooge\'s transformation and the events that unfold during the narrative.""Christmas is a significant holiday that triggers Scrooge\'s memories and reflections on joy, loneliness, and his past.""Christmas is central to the text, symbolizing generosity, charity, and warmth that Scrooge rejects.""Christmas is depicted as a festive season when charity and social duty are emphasized, contrasting with Scrooge\'s values.""Christmas is depicted as a time associated with joy and abundance, contrasting with Scrooge\'s initial views.""Christmas is depicted as a time of joy and communal spirit, marked by people\'s activities and interactions in the streets.""Christmas is depicted as a time of joy and generosity, contrasting sharply with Scrooge\'s past behavior and current solitude.""Christmas is portrayed as a festive time that Scrooge dismisses, emphasizing the contrast between joy and his miserable attitude.""Christmas is portrayed as a time of joy, reflection, and connection, emphasizing the positive impact of the holiday spirit on individuals and communities.""Christmas is presented as a time for merriment and social gatherings, which Scrooge\'s nephew advocates for despite his uncle\'s opposition.""Christmas is the central holiday during which the events unfold, leading to significant character transformations and themes of generosity.""Christmas is the season during which festive activities and celebrations are occurring, including dances and gatherings.""Christmas represents a time of reflection and change for Scrooge, emphasizing themes of redemption.""Christmas serves as a thematic backdrop for the story, symbolizing redemption, generosity, and the spirit of giving."', 'source_id': 'chunk-91614df5cb74cbe5e109a338a82041e9chunk-503f0bfa5453467c7c61d160a3540ecachunk-773d0df1dd25c356f7b771d780583e09chunk-8f738cb25d60a7dab782162d9d0a25edchunk-e7637ff18c5ded77a68cce0a87883fadchunk-8590d9263cd2cd4fa583c432fc54e6c3chunk-54bdd22db1f84a965b5f4c06c9216d8dchunk-02baee20cc9463dbe08170a8e1043e32chunk-90d5764e301321c087f5a8f78b73a145chunk-91572b3cd42786ba4cb2f180ca25cbf4chunk-1d4b58de5429cd1261370c231c8673e8chunk-da2472b4ef2a535b62908f14d0fb0ca9chunk-94bea83e7153fc2064aa382b494936a1chunk-89777b838d5447c7bd1ec11282c4ee89chunk-99b0ec7f7e006561352b5d65e849611dchunk-74e2466de2f67fd710ef2f20c0a8d9e0chunk-5dac41b3f9eeaf794f0147400b1718cd'}> +2024-10-29 13:51:43,148 - lightrag - INFO - get_node:query:MATCH (n:`DEATH`) RETURN n:result:"Death is described as a powerful force in the narrative, represented through the imagery of a cold, rigid presence and the contemplation of mortality.""Death refers to the passing of a character that triggers a range of emotions and reflections among the living, influencing their lives and relationships."', 'source_id': 'chunk-e1f29eeadc1d8ab46dc8a0bbd3c56b64chunk-83ac129dc9b56f84c46760d153d68e93chunk-02baee20cc9463dbe08170a8e1043e32'}> +2024-10-29 13:51:43,248 - lightrag - INFO - get_node:query:MATCH (n:`CHRISTMAS HOLIDAYS`) RETURN n:result: +2024-10-29 13:51:43,344 - lightrag - INFO - get_node:query:MATCH (n:`SCROOGE`) RETURN n:result:chunk-b2f98bc7abb0c67d4c86055c7fd72218chunk-91614df5cb74cbe5e109a338a82041e9chunk-8f738cb25d60a7dab782162d9d0a25edchunk-e7637ff18c5ded77a68cce0a87883fadchunk-d9aac3484185ac66045df92214d245d5chunk-90b95db5c53e4364a6bee36b7aa4d70fchunk-89777b838d5447c7bd1ec11282c4ee89chunk-c6c248858d1b13ab7ee9ca13c1aeed6bchunk-5dac41b3f9eeaf794f0147400b1718cdchunk-773d0df1dd25c356f7b771d780583e09chunk-843b5b2f944c7413d9ca876e2e2f151fchunk-f1a4fbcf1ed86864b9bfd5e8dba4c683chunk-359187e7571bda4b0b08b2e0b6581e52chunk-503f0bfa5453467c7c61d160a3540ecachunk-9c43dac2fcd5b578242d907ea6f8fc7bchunk-b0f459f5af1c3a5e0b92cbe4ee48b77bchunk-1aa50206d02ed89418f65f97c6441d1cchunk-54bdd22db1f84a965b5f4c06c9216d8dchunk-cb661c37436355ccec2769b1d0350c5fchunk-90d5764e301321c087f5a8f78b73a145chunk-91572b3cd42786ba4cb2f180ca25cbf4chunk-da2472b4ef2a535b62908f14d0fb0ca9chunk-99b0ec7f7e006561352b5d65e849611dchunk-43c9bee23adfa77aa9dedd22401bba7dchunk-83ac129dc9b56f84c46760d153d68e93chunk-e1f29eeadc1d8ab46dc8a0bbd3c56b64chunk-8590d9263cd2cd4fa583c432fc54e6c3chunk-02baee20cc9463dbe08170a8e1043e32chunk-94bea83e7153fc2064aa382b494936a1chunk-74e2466de2f67fd710ef2f20c0a8d9e0chunk-19d72c57ae3408758b18d2568e86dc6b'}> +2024-10-29 13:51:43,441 - lightrag - INFO - get_node:query:MATCH (n:`THE PENANCE`) RETURN n:result: +2024-10-29 13:51:43,543 - lightrag - INFO - get_node:query:MATCH (n:`THE GRAVE`) RETURN n:result: +2024-10-29 13:51:43,645 - lightrag - INFO - get_node:query:MATCH (n:`RUSTY KEYS, NAILS, CHAINS, HINGES`) RETURN n:result: +2024-10-29 13:51:43,745 - lightrag - INFO - get_node:query:MATCH (n:`MAN`) RETURN n:result: +2024-10-29 13:51:43,841 - lightrag - INFO - get_node:query:MATCH (n:`KEYHOLE`) RETURN n:result: +2024-10-29 13:51:43,938 - lightrag - INFO - get_node:query:MATCH (n:`THE CHAIN`) RETURN n:result:"The Chain symbolizes the burdens of the past that haunt the spirits, showcasing the consequences of one\'s actions in life."', 'source_id': 'chunk-359187e7571bda4b0b08b2e0b6581e52chunk-cb661c37436355ccec2769b1d0350c5f'}> +2024-10-29 13:51:44,038 - lightrag - INFO - get_node:query:MATCH (n:`THE THREE SPIRITS`) RETURN n:result: +2024-10-29 13:51:44,138 - lightrag - INFO - get_node:query:MATCH (n:`THE BLESSED STAR`) RETURN n:result: +2024-10-29 13:51:44,238 - lightrag - INFO - get_node:query:MATCH (n:`THE SCHOOLMASTER`) RETURN n:result: +2024-10-29 13:51:44,332 - lightrag - INFO - get_node:query:MATCH (n:`KEYS`) RETURN n:result: +2024-10-29 13:51:44,429 - lightrag - INFO - get_node:query:MATCH (n:`SCHOOL`) RETURN n:result: +2024-10-29 13:51:44,526 - lightrag - INFO - get_node:query:MATCH (n:`THE COLD`) RETURN n:result: +2024-10-29 13:51:44,621 - lightrag - INFO - get_node:query:MATCH (n:`THE TRANSPARENT WINDOW`) RETURN n:result: +2024-10-29 13:51:44,716 - lightrag - INFO - get_node:query:MATCH (n:`AVARICE`) RETURN n:result: +2024-10-29 13:51:44,816 - lightrag - INFO - get_node:query:MATCH (n:`SPIRIT`) RETURN n:result:"The Spirit embodies the lessons of compassion and social responsibility, guiding Scrooge through his reflections and realizations.""The Spirit is the manifestation of Scrooge\'s past that guides him through his memories, representing his former self and the influence of time.""The Spirit represents a ghostly entity, guiding Scrooge through visions of potential future events and urging him to acknowledge societal issues.""The Spirit represents a supernatural entity guiding Scrooge through his reflections on life, death, and human emotions, prompting self-awareness.""The Spirit represents the embodiment of the Christmas present, personifying the themes of generosity and merriment."', 'source_id': 'chunk-bb21d58d36c6306fd8810ddd51c4a971chunk-83ac129dc9b56f84c46760d153d68e93chunk-e7637ff18c5ded77a68cce0a87883fadchunk-843b5b2f944c7413d9ca876e2e2f151fchunk-1aa50206d02ed89418f65f97c6441d1cchunk-02baee20cc9463dbe08170a8e1043e32'}> +2024-10-29 13:51:44,917 - lightrag - INFO - get_node:query:MATCH (n:`DEEDS`) RETURN n:result: +2024-10-29 13:51:45,017 - lightrag - INFO - get_node:query:MATCH (n:`FEARFUL PLACE`) RETURN n:result: +2024-10-29 13:51:45,115 - lightrag - INFO - get_node:query:MATCH (n:`CITY`) RETURN n:result:"The City represents the urban setting where Scrooge witnesses the indifference of its inhabitants regarding his death.""The City represents the urban setting where Scrooge\'s transformation takes place, symbolizing the broader society impacted by his changes."', 'source_id': 'chunk-843b5b2f944c7413d9ca876e2e2f151fchunk-94bea83e7153fc2064aa382b494936a1chunk-02baee20cc9463dbe08170a8e1043e32'}> +2024-10-29 13:51:45,211 - lightrag - INFO - get_node:query:MATCH (n:`IRON CABLE`) RETURN n:result: +2024-10-29 13:51:45,309 - lightrag - INFO - get_node:query:MATCH (n:`POVERTY`) RETURN n:result: +2024-10-29 13:51:45,403 - lightrag - INFO - get_node:query:MATCH (n:`THE CANDLE`) RETURN n:result: +2024-10-29 13:51:45,501 - lightrag - INFO - get_node:query:MATCH (n:`THE BED`) RETURN n:result: +2024-10-29 13:51:45,598 - lightrag - INFO - get_node:query:MATCH (n:`WANT`) RETURN n:result: +2024-10-29 13:51:45,696 - lightrag - INFO - get_node:query:MATCH (n:`SUNDAY CLOTHES BOY`) RETURN n:result: +2024-10-29 13:51:45,794 - lightrag - INFO - get_node:query:MATCH (n:`THE ROOM BY DAYLIGHT`) RETURN n:result: +2024-10-29 13:51:45,890 - lightrag - INFO - get_node:query:MATCH (n:`THE BOTTLE`) RETURN n:result: +2024-10-29 13:51:45,988 - lightrag - INFO - get_node:query:MATCH (n:`SHADOW OF HIMSELF`) RETURN n:result: +2024-10-29 13:51:46,085 - lightrag - INFO - get_node:query:MATCH (n:`IGNORANCE`) RETURN n:result:"Ignorance is personified as a boy that symbolizes the dangers of ignoring social issues and the consequences of a lack of awareness."', 'source_id': 'chunk-02baee20cc9463dbe08170a8e1043e32chunk-e7637ff18c5ded77a68cce0a87883fad'}> +2024-10-29 13:51:46,184 - lightrag - INFO - get_node:query:MATCH (n:`THE FIREPLACE`) RETURN n:result: +2024-10-29 13:51:46,280 - lightrag - INFO - get_node:query:MATCH (n:`GAOL`) RETURN n:result: +2024-10-29 13:51:46,382 - lightrag - INFO - get_node:query:MATCH (n:`GHOST`) RETURN n:result:"The Ghost refers to the spirit guiding Scrooge, embodying the themes of memory and reflection on the joys of Christmas.""The Ghost represents a spiritual guide that takes Scrooge on a journey to learn important lessons about compassion and humanity.""The Ghost serves as a supernatural guide for Scrooge, prompting him to reflect on his life and choices."', 'source_id': 'chunk-503f0bfa5453467c7c61d160a3540ecachunk-c6c248858d1b13ab7ee9ca13c1aeed6bchunk-e7637ff18c5ded77a68cce0a87883fadchunk-43c9bee23adfa77aa9dedd22401bba7d'}> +2024-10-29 13:51:46,479 - lightrag - INFO - get_node:query:MATCH (n:`THE SETTING SUN`) RETURN n:result: +2024-10-29 13:51:46,574 - lightrag - INFO - get_node:query:MATCH (n:`CHILDREN`) RETURN n:result:"The Children represent the joyful, carefree aspects of Scrooge\'s past, embodying happiness and the innocence of youth that he has long forgotten."', 'source_id': 'chunk-bb21d58d36c6306fd8810ddd51c4a971chunk-e7637ff18c5ded77a68cce0a87883fad'}> +2024-10-29 13:51:46,694 - lightrag - INFO - get_node:query:MATCH (n:`FROST`) RETURN n:result: +2024-10-29 13:51:46,813 - lightrag - INFO - get_node:query:MATCH (n:`KIND WORD`) RETURN n:result: +2024-10-29 13:51:46,917 - lightrag - INFO - get_node:query:MATCH (n:`THE SPIRITS`) RETURN n:result:"The Spirits represent the past, present, and future in Scrooge\'s life, guiding him toward redemption and self-reflection."', 'source_id': 'chunk-90b95db5c53e4364a6bee36b7aa4d70fchunk-cb661c37436355ccec2769b1d0350c5f'}> +2024-10-29 13:51:47,014 - lightrag - INFO - get_node:query:MATCH (n:`THE CLOTHES AND ITEMS`) RETURN n:result: +2024-10-29 13:51:47,116 - lightrag - INFO - get_node:query:MATCH (n:`THE CANDLE-LIGHT`) RETURN n:result: +2024-10-29 13:51:47,210 - lightrag - INFO - get_node:query:MATCH (n:`MERCILESS CREDITOR`) RETURN n:result: +2024-10-29 13:51:47,310 - lightrag - INFO - get_node:query:MATCH (n:`THE SOLITARY CHILD`) RETURN n:result: +2024-10-29 13:51:47,410 - lightrag - INFO - get_node:query:MATCH (n:`CHRISTMAS-TIME`) RETURN n:result:"Christmas-time represents the festive season, a recurring theme that evokes memories and emotions in Scrooge’s reflections.""Christmas-time serves as a backdrop for the narrative, emphasizing themes of reflection, mortality, and social interactions."', 'source_id': 'chunk-f1a4fbcf1ed86864b9bfd5e8dba4c683chunk-c6c248858d1b13ab7ee9ca13c1aeed6bchunk-5dac41b3f9eeaf794f0147400b1718cd'}> +2024-10-29 13:51:47,510 - lightrag - INFO - get_node:query:MATCH (n:`THE DAUGHTER`) RETURN n:result: +2024-10-29 13:51:47,610 - lightrag - INFO - get_node:query:MATCH (n:`TWO YOUNG CRATCHITS`) RETURN n:result: +2024-10-29 13:51:47,705 - lightrag - INFO - get_node:query:MATCH (n:`THE FLANNEL BAG`) RETURN n:result: +2024-10-29 13:51:47,801 - lightrag - INFO - get_node:query:MATCH (n:`BUSINESS`) RETURN n:result: +2024-10-29 13:51:47,902 - lightrag - INFO - get_node:query:MATCH (n:`PADLOCKS`) RETURN n:result: +2024-10-29 13:51:47,996 - lightrag - INFO - get_node:query:MATCH (n:`LIGHT`) RETURN n:result: +2024-10-29 13:51:48,094 - lightrag - INFO - get_node:query:MATCH (n:`THE CITY`) RETURN n:result:"The City represents the bustling urban environment where Scrooge reflects on his past, filled with activity and shadowy figures.""The City, from which Scrooge is transported, represents his past life and is contrasted with the open country road that signifies his memories."', 'source_id': 'chunk-bb21d58d36c6306fd8810ddd51c4a971chunk-c6c248858d1b13ab7ee9ca13c1aeed6bchunk-74e2466de2f67fd710ef2f20c0a8d9e0'}> +2024-10-29 13:51:48,197 - lightrag - INFO - get_node:query:MATCH (n:`THE CHAISE`) RETURN n:result: +2024-10-29 13:51:48,293 - lightrag - INFO - get_node:query:MATCH (n:`THE BEDROOM`) RETURN n:result: +2024-10-29 14:13:57,337 - lightrag - INFO - Logger initialized for working directory: ./neo4jWorkDir +2024-10-29 14:13:57,338 - lightrag - DEBUG - LightRAG init with param: + working_dir = ./neo4jWorkDir, + chunk_token_size = 1200, + chunk_overlap_token_size = 100, + tiktoken_model_name = gpt-4o-mini, + entity_extract_max_gleaning = 1, + entity_summary_to_max_tokens = 500, + node_embedding_algorithm = node2vec, + node2vec_params = {'dimensions': 1536, 'num_walks': 10, 'walk_length': 40, 'window_size': 2, 'iterations': 3, 'random_seed': 3}, + embedding_func = {'embedding_dim': 1536, 'max_token_size': 8192, 'func': }, + embedding_batch_num = 32, + embedding_func_max_async = 16, + llm_model_func = , + llm_model_name = meta-llama/Llama-3.2-1B-Instruct, + llm_model_max_token_size = 32768, + llm_model_max_async = 16, + key_string_value_json_storage_cls = , + vector_db_storage_cls = , + vector_db_storage_cls_kwargs = {}, + graph_storage_cls = , + enable_llm_cache = True, + addon_params = {}, + convert_response_to_json_func = + +2024-10-29 14:13:57,338 - lightrag - INFO - Load KV full_docs with 1 data +2024-10-29 14:13:57,339 - lightrag - INFO - Load KV text_chunks with 42 data +2024-10-29 14:13:57,340 - lightrag - INFO - Load KV llm_response_cache with 86 data +2024-10-29 14:13:57,362 - lightrag - INFO - Creating a new event loop in a sub-thread. +2024-10-29 14:13:57,363 - lightrag - WARNING - All docs are already in the storage +2024-10-29 14:13:57,386 - lightrag - INFO - Creating a new event loop in a sub-thread. +2024-10-29 14:13:58,057 - lightrag - INFO - Truncate 39 to 3 chunks +2024-10-29 14:13:58,068 - lightrag - INFO - Creating a new event loop in a sub-thread. +2024-10-29 14:14:00,124 - lightrag - INFO - get_node:query:MATCH (n:`EMOTION`) RETURN n:result: +2024-10-29 14:14:00,224 - lightrag - INFO - get_node:query:MATCH (n:`DARKNESS`) RETURN n:result: +2024-10-29 14:14:00,323 - lightrag - INFO - get_node:query:MATCH (n:`CHRISTMAS`) RETURN n:result:"Christmas is a festive occasion that has led to a joyful transformation in Scrooge\'s character and actions.""Christmas is a festive time celebrated by the Cratchit family, symbolizing joy, family togetherness, and generosity.""Christmas is a significant holiday that serves as the backdrop for Scrooge\'s transformation and the events that unfold during the narrative.""Christmas is a significant holiday that triggers Scrooge\'s memories and reflections on joy, loneliness, and his past.""Christmas is central to the text, symbolizing generosity, charity, and warmth that Scrooge rejects.""Christmas is depicted as a festive season when charity and social duty are emphasized, contrasting with Scrooge\'s values.""Christmas is depicted as a time associated with joy and abundance, contrasting with Scrooge\'s initial views.""Christmas is depicted as a time of joy and communal spirit, marked by people\'s activities and interactions in the streets.""Christmas is depicted as a time of joy and generosity, contrasting sharply with Scrooge\'s past behavior and current solitude.""Christmas is portrayed as a festive time that Scrooge dismisses, emphasizing the contrast between joy and his miserable attitude.""Christmas is portrayed as a time of joy, reflection, and connection, emphasizing the positive impact of the holiday spirit on individuals and communities.""Christmas is presented as a time for merriment and social gatherings, which Scrooge\'s nephew advocates for despite his uncle\'s opposition.""Christmas is the central holiday during which the events unfold, leading to significant character transformations and themes of generosity.""Christmas is the season during which festive activities and celebrations are occurring, including dances and gatherings.""Christmas represents a time of reflection and change for Scrooge, emphasizing themes of redemption.""Christmas serves as a thematic backdrop for the story, symbolizing redemption, generosity, and the spirit of giving."', 'source_id': 'chunk-91614df5cb74cbe5e109a338a82041e9chunk-503f0bfa5453467c7c61d160a3540ecachunk-773d0df1dd25c356f7b771d780583e09chunk-8f738cb25d60a7dab782162d9d0a25edchunk-e7637ff18c5ded77a68cce0a87883fadchunk-8590d9263cd2cd4fa583c432fc54e6c3chunk-54bdd22db1f84a965b5f4c06c9216d8dchunk-02baee20cc9463dbe08170a8e1043e32chunk-90d5764e301321c087f5a8f78b73a145chunk-91572b3cd42786ba4cb2f180ca25cbf4chunk-1d4b58de5429cd1261370c231c8673e8chunk-da2472b4ef2a535b62908f14d0fb0ca9chunk-94bea83e7153fc2064aa382b494936a1chunk-89777b838d5447c7bd1ec11282c4ee89chunk-99b0ec7f7e006561352b5d65e849611dchunk-74e2466de2f67fd710ef2f20c0a8d9e0chunk-5dac41b3f9eeaf794f0147400b1718cd'}> +2024-10-29 14:14:00,434 - lightrag - INFO - get_node:query:MATCH (n:`THE SETTING SUN`) RETURN n:result: +2024-10-29 14:14:00,570 - lightrag - INFO - get_node:query:MATCH (n:`DEATH`) RETURN n:result:"Death is described as a powerful force in the narrative, represented through the imagery of a cold, rigid presence and the contemplation of mortality.""Death refers to the passing of a character that triggers a range of emotions and reflections among the living, influencing their lives and relationships."', 'source_id': 'chunk-e1f29eeadc1d8ab46dc8a0bbd3c56b64chunk-83ac129dc9b56f84c46760d153d68e93chunk-02baee20cc9463dbe08170a8e1043e32'}> +2024-10-29 14:14:00,665 - lightrag - INFO - get_node:query:MATCH (n:`THE FIREPLACE`) RETURN n:result: +2024-10-29 14:14:00,761 - lightrag - INFO - get_node:query:MATCH (n:`RUSTY KEYS, NAILS, CHAINS, HINGES`) RETURN n:result: +2024-10-29 14:14:00,854 - lightrag - INFO - get_node:query:MATCH (n:`CHRISTMAS HOLIDAYS`) RETURN n:result: +2024-10-29 14:14:00,954 - lightrag - INFO - get_node:query:MATCH (n:`THE BED`) RETURN n:result: +2024-10-29 14:14:01,047 - lightrag - INFO - get_node:query:MATCH (n:`THE COSMIC SIGNIFICANCE`) RETURN n:result: +2024-10-29 14:14:01,146 - lightrag - INFO - get_node:query:MATCH (n:`THE PHANTOM`) RETURN n:result: +2024-10-29 14:14:01,240 - lightrag - INFO - get_node:query:MATCH (n:`KEYS`) RETURN n:result: +2024-10-29 14:14:01,332 - lightrag - INFO - get_node:query:MATCH (n:`PONDEROUS CHAIN`) RETURN n:result: +2024-10-29 14:14:01,430 - lightrag - INFO - get_node:query:MATCH (n:`THE ROOM BY DAYLIGHT`) RETURN n:result: +2024-10-29 14:14:01,532 - lightrag - INFO - get_node:query:MATCH (n:`THE DARK ROOM`) RETURN n:result: +2024-10-29 14:14:01,632 - lightrag - INFO - get_node:query:MATCH (n:`FEARFUL PLACE`) RETURN n:result: +2024-10-29 14:14:01,727 - lightrag - INFO - get_node:query:MATCH (n:`THE COLD`) RETURN n:result: +2024-10-29 14:14:01,825 - lightrag - INFO - get_node:query:MATCH (n:`LONDON`) RETURN n:result:"London serves as the setting where the events take place, adding a cultural backdrop to the Christmas gathering."', 'source_id': 'chunk-d9aac3484185ac66045df92214d245d5chunk-43c9bee23adfa77aa9dedd22401bba7d'}> +2024-10-29 14:14:01,922 - lightrag - INFO - get_node:query:MATCH (n:`THE BOTTLE`) RETURN n:result: +2024-10-29 14:14:02,022 - lightrag - INFO - get_node:query:MATCH (n:`CITY`) RETURN n:result:"The City represents the urban setting where Scrooge witnesses the indifference of its inhabitants regarding his death.""The City represents the urban setting where Scrooge\'s transformation takes place, symbolizing the broader society impacted by his changes."', 'source_id': 'chunk-843b5b2f944c7413d9ca876e2e2f151fchunk-94bea83e7153fc2064aa382b494936a1chunk-02baee20cc9463dbe08170a8e1043e32'}> +2024-10-29 14:14:02,117 - lightrag - INFO - get_node:query:MATCH (n:`FROST`) RETURN n:result: +2024-10-29 14:14:02,212 - lightrag - INFO - get_node:query:MATCH (n:`SCROOGE`) RETURN n:result:chunk-b2f98bc7abb0c67d4c86055c7fd72218chunk-91614df5cb74cbe5e109a338a82041e9chunk-8f738cb25d60a7dab782162d9d0a25edchunk-e7637ff18c5ded77a68cce0a87883fadchunk-d9aac3484185ac66045df92214d245d5chunk-90b95db5c53e4364a6bee36b7aa4d70fchunk-89777b838d5447c7bd1ec11282c4ee89chunk-c6c248858d1b13ab7ee9ca13c1aeed6bchunk-5dac41b3f9eeaf794f0147400b1718cdchunk-773d0df1dd25c356f7b771d780583e09chunk-843b5b2f944c7413d9ca876e2e2f151fchunk-f1a4fbcf1ed86864b9bfd5e8dba4c683chunk-359187e7571bda4b0b08b2e0b6581e52chunk-503f0bfa5453467c7c61d160a3540ecachunk-9c43dac2fcd5b578242d907ea6f8fc7bchunk-b0f459f5af1c3a5e0b92cbe4ee48b77bchunk-1aa50206d02ed89418f65f97c6441d1cchunk-54bdd22db1f84a965b5f4c06c9216d8dchunk-cb661c37436355ccec2769b1d0350c5fchunk-90d5764e301321c087f5a8f78b73a145chunk-91572b3cd42786ba4cb2f180ca25cbf4chunk-da2472b4ef2a535b62908f14d0fb0ca9chunk-99b0ec7f7e006561352b5d65e849611dchunk-43c9bee23adfa77aa9dedd22401bba7dchunk-83ac129dc9b56f84c46760d153d68e93chunk-e1f29eeadc1d8ab46dc8a0bbd3c56b64chunk-8590d9263cd2cd4fa583c432fc54e6c3chunk-02baee20cc9463dbe08170a8e1043e32chunk-94bea83e7153fc2064aa382b494936a1chunk-74e2466de2f67fd710ef2f20c0a8d9e0chunk-19d72c57ae3408758b18d2568e86dc6b'}> +2024-10-29 14:14:02,308 - lightrag - INFO - get_node:query:MATCH (n:`THE BEDROOM`) RETURN n:result: +2024-10-29 14:14:02,402 - lightrag - INFO - get_node:query:MATCH (n:`THE GRAVE`) RETURN n:result: +2024-10-29 14:14:02,496 - lightrag - INFO - get_node:query:MATCH (n:`THE TRANSPARENT WINDOW`) RETURN n:result: +2024-10-29 14:14:02,590 - lightrag - INFO - get_node:query:MATCH (n:`CHRISTMAS-TIME`) RETURN n:result:"Christmas-time represents the festive season, a recurring theme that evokes memories and emotions in Scrooge’s reflections.""Christmas-time serves as a backdrop for the narrative, emphasizing themes of reflection, mortality, and social interactions."', 'source_id': 'chunk-f1a4fbcf1ed86864b9bfd5e8dba4c683chunk-c6c248858d1b13ab7ee9ca13c1aeed6bchunk-5dac41b3f9eeaf794f0147400b1718cd'}> +2024-10-29 14:14:02,686 - lightrag - INFO - get_node:query:MATCH (n:`HUMANITY`) RETURN n:result: +2024-10-29 14:14:02,780 - lightrag - INFO - get_node:query:MATCH (n:`SCHOOL`) RETURN n:result: +2024-10-29 14:14:02,873 - lightrag - INFO - get_node:query:MATCH (n:`THE CANDLE`) RETURN n:result: +2024-10-29 14:14:02,967 - lightrag - INFO - get_node:query:MATCH (n:`THE HOUSE`) RETURN n:result:"The House is the setting where Scrooge experiences the haunting, with a description of its features contributing to the eerie atmosphere."', 'source_id': 'chunk-da2472b4ef2a535b62908f14d0fb0ca9chunk-9c43dac2fcd5b578242d907ea6f8fc7b'}> +2024-10-29 14:14:03,078 - lightrag - INFO - get_node:query:MATCH (n:`THE CLOTHES AND ITEMS`) RETURN n:result: +2024-10-29 14:14:03,184 - lightrag - INFO - get_node:query:MATCH (n:`WINTER DAY`) RETURN n:result: +2024-10-29 14:14:03,370 - lightrag - INFO - get_node:query:MATCH (n:`KEYHOLE`) RETURN n:result: +2024-10-29 14:14:03,467 - lightrag - INFO - get_node:query:MATCH (n:`THE CHAIN`) RETURN n:result:"The Chain symbolizes the burdens of the past that haunt the spirits, showcasing the consequences of one\'s actions in life."', 'source_id': 'chunk-359187e7571bda4b0b08b2e0b6581e52chunk-cb661c37436355ccec2769b1d0350c5f'}> +2024-10-29 14:14:03,561 - lightrag - INFO - get_node:query:MATCH (n:`THE DAUGHTER`) RETURN n:result: +2024-10-29 14:14:03,658 - lightrag - INFO - get_node:query:MATCH (n:`THE DARK NIGHT`) RETURN n:result: +2024-10-29 14:14:03,751 - lightrag - INFO - get_node:query:MATCH (n:`DEEDS`) RETURN n:result: +2024-10-29 14:14:03,845 - lightrag - INFO - get_node:query:MATCH (n:`THE PENANCE`) RETURN n:result: +2024-10-29 14:14:03,939 - lightrag - INFO - get_node:query:MATCH (n:`SPIRIT`) RETURN n:result:"The Spirit embodies the lessons of compassion and social responsibility, guiding Scrooge through his reflections and realizations.""The Spirit is the manifestation of Scrooge\'s past that guides him through his memories, representing his former self and the influence of time.""The Spirit represents a ghostly entity, guiding Scrooge through visions of potential future events and urging him to acknowledge societal issues.""The Spirit represents a supernatural entity guiding Scrooge through his reflections on life, death, and human emotions, prompting self-awareness.""The Spirit represents the embodiment of the Christmas present, personifying the themes of generosity and merriment."', 'source_id': 'chunk-bb21d58d36c6306fd8810ddd51c4a971chunk-83ac129dc9b56f84c46760d153d68e93chunk-e7637ff18c5ded77a68cce0a87883fadchunk-843b5b2f944c7413d9ca876e2e2f151fchunk-1aa50206d02ed89418f65f97c6441d1cchunk-02baee20cc9463dbe08170a8e1043e32'}> +2024-10-29 14:14:04,032 - lightrag - INFO - get_node:query:MATCH (n:`THE MOTHER`) RETURN n:result:"The Mother is a character associated with the family dynamics during the Christmas scene, though her actions are not explicitly detailed.""The Mother is depicted as a comely matron, who enjoys the laughter and chaos with her children, showing warmth and family value."', 'source_id': 'chunk-da2472b4ef2a535b62908f14d0fb0ca9chunk-83ac129dc9b56f84c46760d153d68e93chunk-54bdd22db1f84a965b5f4c06c9216d8d'}> +2024-10-29 14:14:04,125 - lightrag - INFO - get_node:query:MATCH (n:`THE CITY`) RETURN n:result:"The City represents the bustling urban environment where Scrooge reflects on his past, filled with activity and shadowy figures.""The City, from which Scrooge is transported, represents his past life and is contrasted with the open country road that signifies his memories."', 'source_id': 'chunk-bb21d58d36c6306fd8810ddd51c4a971chunk-c6c248858d1b13ab7ee9ca13c1aeed6bchunk-74e2466de2f67fd710ef2f20c0a8d9e0'}> +2024-10-29 14:14:04,219 - lightrag - INFO - get_node:query:MATCH (n:`THE THREE SPIRITS`) RETURN n:result: +2024-10-29 14:14:04,309 - lightrag - INFO - get_node:query:MATCH (n:`THE SPRING`) RETURN n:result: +2024-10-29 14:14:04,401 - lightrag - INFO - get_node:query:MATCH (n:`THE FLANNEL BAG`) RETURN n:result: +2024-10-29 14:14:04,497 - lightrag - INFO - get_node:query:MATCH (n:`THE CANDLE-LIGHT`) RETURN n:result: +2024-10-29 14:14:04,590 - lightrag - INFO - get_node:query:MATCH (n:`CHRISTMAS FEAST`) RETURN n:result: +2024-10-29 14:14:04,686 - lightrag - INFO - get_node:query:MATCH (n:`THE CHAISE`) RETURN n:result: +2024-10-29 14:14:04,784 - lightrag - INFO - get_node:query:MATCH (n:`SHADOW OF HIMSELF`) RETURN n:result: +2024-10-29 14:14:04,877 - lightrag - INFO - get_node:query:MATCH (n:`POVERTY`) RETURN n:result: +2024-10-29 14:14:04,968 - lightrag - INFO - get_node:query:MATCH (n:`AVARICE`) RETURN n:result: +2024-10-29 14:14:05,063 - lightrag - INFO - get_node:query:MATCH (n:`SUNDAY CLOTHES BOY`) RETURN n:result: +2024-10-29 14:14:05,157 - lightrag - INFO - get_node:query:MATCH (n:`THE DARKNESS`) RETURN n:result: +2024-10-29 14:14:05,250 - lightrag - INFO - get_node:query:MATCH (n:`FOUR-ROOMED HOUSE`) RETURN n:result: +2024-10-29 14:14:05,344 - lightrag - INFO - get_node:query:MATCH (n:`THE BLESSED STAR`) RETURN n:result: +2024-10-29 14:14:05,442 - lightrag - INFO - get_node:query:MATCH (n:`LIGHT`) RETURN n:result: +2024-10-29 14:14:05,539 - lightrag - INFO - get_node:query:MATCH (n:`WANT`) RETURN n:result: +2024-10-29 14:14:05,652 - lightrag - INFO - get_node:query:MATCH (n:`TWO YOUNG CRATCHITS`) RETURN n:result: +2024-10-29 14:14:05,746 - lightrag - INFO - get_node:query:MATCH (n:`THE SHIP`) RETURN n:result: +2024-10-29 14:14:05,879 - lightrag - INFO - get_node:query:MATCH (n:`THE CLOCK`) RETURN n:result:"The Clock is mentioned as malfunctioning, which symbolizes the confusion and distortion of time that Scrooge experiences during his nighttime visitations."', 'source_id': 'chunk-c7b10789a9cb0af6c553730b29bd9034chunk-cb661c37436355ccec2769b1d0350c5f'}> +2024-10-29 14:14:05,977 - lightrag - INFO - get_node:query:MATCH (n:`THE DARK CHAMBER`) RETURN n:result: +2024-10-29 14:14:06,122 - lightrag - INFO - _find_node_degree:query: + MATCH (n:`EMOTION`) + RETURN COUNT{ (n)--() } AS totalEdgeCount + :result:0 +2024-10-29 14:14:06,298 - lightrag - INFO - _find_node_degree:query: + MATCH (n:`DARKNESS`) + RETURN COUNT{ (n)--() } AS totalEdgeCount + :result:1 +2024-10-29 14:14:06,478 - lightrag - INFO - _find_node_degree:query: + MATCH (n:`CHRISTMAS`) + RETURN COUNT{ (n)--() } AS totalEdgeCount + :result:18 +2024-10-29 14:14:06,659 - lightrag - INFO - _find_node_degree:query: + MATCH (n:`THE SETTING SUN`) + RETURN COUNT{ (n)--() } AS totalEdgeCount + :result:1 +2024-10-29 14:14:06,844 - lightrag - INFO - _find_node_degree:query: + MATCH (n:`DEATH`) + RETURN COUNT{ (n)--() } AS totalEdgeCount + :result:3 +2024-10-29 14:14:07,026 - lightrag - INFO - _find_node_degree:query: + MATCH (n:`THE FIREPLACE`) + RETURN COUNT{ (n)--() } AS totalEdgeCount + :result:0 +2024-10-29 14:14:07,204 - lightrag - INFO - _find_node_degree:query: + MATCH (n:`RUSTY KEYS, NAILS, CHAINS, HINGES`) + RETURN COUNT{ (n)--() } AS totalEdgeCount + :result:1 +2024-10-29 14:14:07,383 - lightrag - INFO - _find_node_degree:query: + MATCH (n:`CHRISTMAS HOLIDAYS`) + RETURN COUNT{ (n)--() } AS totalEdgeCount + :result:0 +2024-10-29 14:14:07,560 - lightrag - INFO - _find_node_degree:query: + MATCH (n:`THE BED`) + RETURN COUNT{ (n)--() } AS totalEdgeCount + :result:1 +2024-10-29 14:14:07,743 - lightrag - INFO - _find_node_degree:query: + MATCH (n:`THE COSMIC SIGNIFICANCE`) + RETURN COUNT{ (n)--() } AS totalEdgeCount + :result:0 +2024-10-29 14:14:07,927 - lightrag - INFO - _find_node_degree:query: + MATCH (n:`THE PHANTOM`) + RETURN COUNT{ (n)--() } AS totalEdgeCount + :result:2 +2024-10-29 14:14:08,101 - lightrag - INFO - _find_node_degree:query: + MATCH (n:`KEYS`) + RETURN COUNT{ (n)--() } AS totalEdgeCount + :result:0 +2024-10-29 14:14:08,277 - lightrag - INFO - _find_node_degree:query: + MATCH (n:`PONDEROUS CHAIN`) + RETURN COUNT{ (n)--() } AS totalEdgeCount + :result:0 +2024-10-29 14:14:08,459 - lightrag - INFO - _find_node_degree:query: + MATCH (n:`THE ROOM BY DAYLIGHT`) + RETURN COUNT{ (n)--() } AS totalEdgeCount + :result:0 +2024-10-29 14:14:08,634 - lightrag - INFO - _find_node_degree:query: + MATCH (n:`THE DARK ROOM`) + RETURN COUNT{ (n)--() } AS totalEdgeCount + :result:0 +2024-10-29 14:14:08,813 - lightrag - INFO - _find_node_degree:query: + MATCH (n:`FEARFUL PLACE`) + RETURN COUNT{ (n)--() } AS totalEdgeCount + :result:0 +2024-10-29 14:14:08,991 - lightrag - INFO - _find_node_degree:query: + MATCH (n:`THE COLD`) + RETURN COUNT{ (n)--() } AS totalEdgeCount + :result:1 +2024-10-29 14:14:09,169 - lightrag - INFO - _find_node_degree:query: + MATCH (n:`LONDON`) + RETURN COUNT{ (n)--() } AS totalEdgeCount + :result:1 +2024-10-29 14:14:09,346 - lightrag - INFO - _find_node_degree:query: + MATCH (n:`THE BOTTLE`) + RETURN COUNT{ (n)--() } AS totalEdgeCount + :result:0 +2024-10-29 14:14:09,525 - lightrag - INFO - _find_node_degree:query: + MATCH (n:`CITY`) + RETURN COUNT{ (n)--() } AS totalEdgeCount + :result:1 +2024-10-29 14:14:09,709 - lightrag - INFO - _find_node_degree:query: + MATCH (n:`FROST`) + RETURN COUNT{ (n)--() } AS totalEdgeCount + :result:1 +2024-10-29 14:14:09,884 - lightrag - INFO - _find_node_degree:query: + MATCH (n:`SCROOGE`) + RETURN COUNT{ (n)--() } AS totalEdgeCount + :result:100 +2024-10-29 14:14:10,061 - lightrag - INFO - _find_node_degree:query: + MATCH (n:`THE BEDROOM`) + RETURN COUNT{ (n)--() } AS totalEdgeCount + :result:1 +2024-10-29 14:14:10,235 - lightrag - INFO - _find_node_degree:query: + MATCH (n:`THE GRAVE`) + RETURN COUNT{ (n)--() } AS totalEdgeCount + :result:1 +2024-10-29 14:14:10,412 - lightrag - INFO - _find_node_degree:query: + MATCH (n:`THE TRANSPARENT WINDOW`) + RETURN COUNT{ (n)--() } AS totalEdgeCount + :result:0 +2024-10-29 14:14:10,584 - lightrag - INFO - _find_node_degree:query: + MATCH (n:`CHRISTMAS-TIME`) + RETURN COUNT{ (n)--() } AS totalEdgeCount + :result:2 +2024-10-29 14:14:10,795 - lightrag - INFO - _find_node_degree:query: + MATCH (n:`HUMANITY`) + RETURN COUNT{ (n)--() } AS totalEdgeCount + :result:1 +2024-10-29 14:14:10,971 - lightrag - INFO - _find_node_degree:query: + MATCH (n:`SCHOOL`) + RETURN COUNT{ (n)--() } AS totalEdgeCount + :result:2 +2024-10-29 14:14:11,144 - lightrag - INFO - _find_node_degree:query: + MATCH (n:`THE CANDLE`) + RETURN COUNT{ (n)--() } AS totalEdgeCount + :result:1 +2024-10-29 14:14:11,319 - lightrag - INFO - _find_node_degree:query: + MATCH (n:`THE HOUSE`) + RETURN COUNT{ (n)--() } AS totalEdgeCount + :result:2 +2024-10-29 14:14:11,496 - lightrag - INFO - _find_node_degree:query: + MATCH (n:`THE CLOTHES AND ITEMS`) + RETURN COUNT{ (n)--() } AS totalEdgeCount + :result:0 +2024-10-29 14:14:11,672 - lightrag - INFO - _find_node_degree:query: + MATCH (n:`WINTER DAY`) + RETURN COUNT{ (n)--() } AS totalEdgeCount + :result:0 +2024-10-29 14:14:11,848 - lightrag - INFO - _find_node_degree:query: + MATCH (n:`KEYHOLE`) + RETURN COUNT{ (n)--() } AS totalEdgeCount + :result:0 +2024-10-29 14:14:12,030 - lightrag - INFO - _find_node_degree:query: + MATCH (n:`THE CHAIN`) + RETURN COUNT{ (n)--() } AS totalEdgeCount + :result:0 +2024-10-29 14:14:12,206 - lightrag - INFO - _find_node_degree:query: + MATCH (n:`THE DAUGHTER`) + RETURN COUNT{ (n)--() } AS totalEdgeCount + :result:1 +2024-10-29 14:14:12,377 - lightrag - INFO - _find_node_degree:query: + MATCH (n:`THE DARK NIGHT`) + RETURN COUNT{ (n)--() } AS totalEdgeCount + :result:0 +2024-10-29 14:14:12,557 - lightrag - INFO - _find_node_degree:query: + MATCH (n:`DEEDS`) + RETURN COUNT{ (n)--() } AS totalEdgeCount + :result:0 +2024-10-29 14:14:12,736 - lightrag - INFO - _find_node_degree:query: + MATCH (n:`THE PENANCE`) + RETURN COUNT{ (n)--() } AS totalEdgeCount + :result:0 +2024-10-29 14:14:12,914 - lightrag - INFO - _find_node_degree:query: + MATCH (n:`SPIRIT`) + RETURN COUNT{ (n)--() } AS totalEdgeCount + :result:9 +2024-10-29 14:14:13,087 - lightrag - INFO - _find_node_degree:query: + MATCH (n:`THE MOTHER`) + RETURN COUNT{ (n)--() } AS totalEdgeCount + :result:2 +2024-10-29 14:14:13,263 - lightrag - INFO - _find_node_degree:query: + MATCH (n:`THE CITY`) + RETURN COUNT{ (n)--() } AS totalEdgeCount + :result:3 +2024-10-29 14:14:13,439 - lightrag - INFO - _find_node_degree:query: + MATCH (n:`THE THREE SPIRITS`) + RETURN COUNT{ (n)--() } AS totalEdgeCount + :result:1 +2024-10-29 14:14:13,612 - lightrag - INFO - _find_node_degree:query: + MATCH (n:`THE SPRING`) + RETURN COUNT{ (n)--() } AS totalEdgeCount + :result:0 +2024-10-29 14:14:13,786 - lightrag - INFO - _find_node_degree:query: + MATCH (n:`THE FLANNEL BAG`) + RETURN COUNT{ (n)--() } AS totalEdgeCount + :result:0 +2024-10-29 14:14:13,964 - lightrag - INFO - _find_node_degree:query: + MATCH (n:`THE CANDLE-LIGHT`) + RETURN COUNT{ (n)--() } AS totalEdgeCount + :result:0 +2024-10-29 14:14:14,144 - lightrag - INFO - _find_node_degree:query: + MATCH (n:`CHRISTMAS FEAST`) + RETURN COUNT{ (n)--() } AS totalEdgeCount + :result:1 +2024-10-29 14:14:14,321 - lightrag - INFO - _find_node_degree:query: + MATCH (n:`THE CHAISE`) + RETURN COUNT{ (n)--() } AS totalEdgeCount + :result:0 +2024-10-29 14:14:14,516 - lightrag - INFO - _find_node_degree:query: + MATCH (n:`SHADOW OF HIMSELF`) + RETURN COUNT{ (n)--() } AS totalEdgeCount + :result:1 +2024-10-29 14:14:14,701 - lightrag - INFO - _find_node_degree:query: + MATCH (n:`POVERTY`) + RETURN COUNT{ (n)--() } AS totalEdgeCount + :result:1 +2024-10-29 14:14:14,877 - lightrag - INFO - _find_node_degree:query: + MATCH (n:`AVARICE`) + RETURN COUNT{ (n)--() } AS totalEdgeCount + :result:0 +2024-10-29 14:14:15,052 - lightrag - INFO - _find_node_degree:query: + MATCH (n:`SUNDAY CLOTHES BOY`) + RETURN COUNT{ (n)--() } AS totalEdgeCount + :result:1 +2024-10-29 14:14:15,221 - lightrag - INFO - _find_node_degree:query: + MATCH (n:`THE DARKNESS`) + RETURN COUNT{ (n)--() } AS totalEdgeCount + :result:0 +2024-10-29 14:14:15,394 - lightrag - INFO - _find_node_degree:query: + MATCH (n:`FOUR-ROOMED HOUSE`) + RETURN COUNT{ (n)--() } AS totalEdgeCount + :result:0 +2024-10-29 14:14:15,568 - lightrag - INFO - _find_node_degree:query: + MATCH (n:`THE BLESSED STAR`) + RETURN COUNT{ (n)--() } AS totalEdgeCount + :result:0 +2024-10-29 14:14:15,738 - lightrag - INFO - _find_node_degree:query: + MATCH (n:`LIGHT`) + RETURN COUNT{ (n)--() } AS totalEdgeCount + :result:1 +2024-10-29 14:14:15,912 - lightrag - INFO - _find_node_degree:query: + MATCH (n:`WANT`) + RETURN COUNT{ (n)--() } AS totalEdgeCount + :result:1 +2024-10-29 14:14:16,086 - lightrag - INFO - _find_node_degree:query: + MATCH (n:`TWO YOUNG CRATCHITS`) + RETURN COUNT{ (n)--() } AS totalEdgeCount + :result:0 +2024-10-29 14:14:16,258 - lightrag - INFO - _find_node_degree:query: + MATCH (n:`THE SHIP`) + RETURN COUNT{ (n)--() } AS totalEdgeCount + :result:1 +2024-10-29 14:14:16,432 - lightrag - INFO - _find_node_degree:query: + MATCH (n:`THE CLOCK`) + RETURN COUNT{ (n)--() } AS totalEdgeCount + :result:2 +2024-10-29 14:14:16,603 - lightrag - INFO - _find_node_degree:query: + MATCH (n:`THE DARK CHAMBER`) + RETURN COUNT{ (n)--() } AS totalEdgeCount + :result:0 +2024-10-29 15:05:08,372 - lightrag - INFO - Logger initialized for working directory: ./neo4jWorkDir +2024-10-29 15:05:08,373 - lightrag - DEBUG - LightRAG init with param: + working_dir = ./neo4jWorkDir, + chunk_token_size = 1200, + chunk_overlap_token_size = 100, + tiktoken_model_name = gpt-4o-mini, + entity_extract_max_gleaning = 1, + entity_summary_to_max_tokens = 500, + node_embedding_algorithm = node2vec, + node2vec_params = {'dimensions': 1536, 'num_walks': 10, 'walk_length': 40, 'window_size': 2, 'iterations': 3, 'random_seed': 3}, + embedding_func = {'embedding_dim': 1536, 'max_token_size': 8192, 'func': }, + embedding_batch_num = 32, + embedding_func_max_async = 16, + llm_model_func = , + llm_model_name = meta-llama/Llama-3.2-1B-Instruct, + llm_model_max_token_size = 32768, + llm_model_max_async = 16, + key_string_value_json_storage_cls = , + vector_db_storage_cls = , + vector_db_storage_cls_kwargs = {}, + graph_storage_cls = , + enable_llm_cache = True, + addon_params = {}, + convert_response_to_json_func = + +2024-10-29 15:05:08,373 - lightrag - INFO - Load KV full_docs with 1 data +2024-10-29 15:05:08,374 - lightrag - INFO - Load KV text_chunks with 42 data +2024-10-29 15:05:08,375 - lightrag - INFO - Load KV llm_response_cache with 86 data +2024-10-29 15:05:08,397 - lightrag - INFO - Creating a new event loop in a sub-thread. +2024-10-29 15:05:08,398 - lightrag - WARNING - All docs are already in the storage +2024-10-29 15:05:08,428 - lightrag - INFO - Creating a new event loop in a sub-thread. +2024-10-29 15:05:09,062 - lightrag - INFO - Truncate 39 to 3 chunks +2024-10-29 15:05:09,074 - lightrag - INFO - Creating a new event loop in a sub-thread. +2024-10-29 15:05:11,074 - lightrag - INFO - get_node:query:MATCH (n:`EMOTION`) RETURN n:result: +2024-10-29 15:05:11,202 - lightrag - INFO - get_node:query:MATCH (n:`DARKNESS`) RETURN n:result: +2024-10-29 15:05:11,321 - lightrag - INFO - get_node:query:MATCH (n:`THE SETTING SUN`) RETURN n:result: +2024-10-29 15:05:11,473 - lightrag - INFO - get_node:query:MATCH (n:`CHRISTMAS`) RETURN n:result:"Christmas is a festive occasion that has led to a joyful transformation in Scrooge\'s character and actions.""Christmas is a festive time celebrated by the Cratchit family, symbolizing joy, family togetherness, and generosity.""Christmas is a significant holiday that serves as the backdrop for Scrooge\'s transformation and the events that unfold during the narrative.""Christmas is a significant holiday that triggers Scrooge\'s memories and reflections on joy, loneliness, and his past.""Christmas is central to the text, symbolizing generosity, charity, and warmth that Scrooge rejects.""Christmas is depicted as a festive season when charity and social duty are emphasized, contrasting with Scrooge\'s values.""Christmas is depicted as a time associated with joy and abundance, contrasting with Scrooge\'s initial views.""Christmas is depicted as a time of joy and communal spirit, marked by people\'s activities and interactions in the streets.""Christmas is depicted as a time of joy and generosity, contrasting sharply with Scrooge\'s past behavior and current solitude.""Christmas is portrayed as a festive time that Scrooge dismisses, emphasizing the contrast between joy and his miserable attitude.""Christmas is portrayed as a time of joy, reflection, and connection, emphasizing the positive impact of the holiday spirit on individuals and communities.""Christmas is presented as a time for merriment and social gatherings, which Scrooge\'s nephew advocates for despite his uncle\'s opposition.""Christmas is the central holiday during which the events unfold, leading to significant character transformations and themes of generosity.""Christmas is the season during which festive activities and celebrations are occurring, including dances and gatherings.""Christmas represents a time of reflection and change for Scrooge, emphasizing themes of redemption.""Christmas serves as a thematic backdrop for the story, symbolizing redemption, generosity, and the spirit of giving."', 'source_id': 'chunk-91614df5cb74cbe5e109a338a82041e9chunk-503f0bfa5453467c7c61d160a3540ecachunk-773d0df1dd25c356f7b771d780583e09chunk-8f738cb25d60a7dab782162d9d0a25edchunk-e7637ff18c5ded77a68cce0a87883fadchunk-8590d9263cd2cd4fa583c432fc54e6c3chunk-54bdd22db1f84a965b5f4c06c9216d8dchunk-02baee20cc9463dbe08170a8e1043e32chunk-90d5764e301321c087f5a8f78b73a145chunk-91572b3cd42786ba4cb2f180ca25cbf4chunk-1d4b58de5429cd1261370c231c8673e8chunk-da2472b4ef2a535b62908f14d0fb0ca9chunk-94bea83e7153fc2064aa382b494936a1chunk-89777b838d5447c7bd1ec11282c4ee89chunk-99b0ec7f7e006561352b5d65e849611dchunk-74e2466de2f67fd710ef2f20c0a8d9e0chunk-5dac41b3f9eeaf794f0147400b1718cd'}> +2024-10-29 15:05:11,638 - lightrag - INFO - get_node:query:MATCH (n:`CHRISTMAS HOLIDAYS`) RETURN n:result: +2024-10-29 15:05:11,839 - lightrag - INFO - get_node:query:MATCH (n:`THE FIREPLACE`) RETURN n:result: +2024-10-29 15:05:11,966 - lightrag - INFO - get_node:query:MATCH (n:`PONDEROUS CHAIN`) RETURN n:result: +2024-10-29 15:05:12,076 - lightrag - INFO - get_node:query:MATCH (n:`THE PHANTOM`) RETURN n:result: +2024-10-29 15:05:12,185 - lightrag - INFO - get_node:query:MATCH (n:`DEATH`) RETURN n:result:"Death is described as a powerful force in the narrative, represented through the imagery of a cold, rigid presence and the contemplation of mortality.""Death refers to the passing of a character that triggers a range of emotions and reflections among the living, influencing their lives and relationships."', 'source_id': 'chunk-e1f29eeadc1d8ab46dc8a0bbd3c56b64chunk-83ac129dc9b56f84c46760d153d68e93chunk-02baee20cc9463dbe08170a8e1043e32'}> +2024-10-29 15:05:12,296 - lightrag - INFO - get_node:query:MATCH (n:`RUSTY KEYS, NAILS, CHAINS, HINGES`) RETURN n:result: +2024-10-29 15:05:12,406 - lightrag - INFO - get_node:query:MATCH (n:`THE ROOM BY DAYLIGHT`) RETURN n:result: +2024-10-29 15:05:12,518 - lightrag - INFO - get_node:query:MATCH (n:`THE COSMIC SIGNIFICANCE`) RETURN n:result: +2024-10-29 15:05:12,625 - lightrag - INFO - get_node:query:MATCH (n:`THE BED`) RETURN n:result: +2024-10-29 15:05:12,740 - lightrag - INFO - get_node:query:MATCH (n:`LONDON`) RETURN n:result:"London serves as the setting where the events take place, adding a cultural backdrop to the Christmas gathering."', 'source_id': 'chunk-d9aac3484185ac66045df92214d245d5chunk-43c9bee23adfa77aa9dedd22401bba7d'}> +2024-10-29 15:05:12,853 - lightrag - INFO - get_node:query:MATCH (n:`THE BOTTLE`) RETURN n:result: +2024-10-29 15:05:12,957 - lightrag - INFO - get_node:query:MATCH (n:`FEARFUL PLACE`) RETURN n:result: +2024-10-29 15:05:13,075 - lightrag - INFO - get_node:query:MATCH (n:`THE DARK ROOM`) RETURN n:result: +2024-10-29 15:05:13,186 - lightrag - INFO - get_node:query:MATCH (n:`FROST`) RETURN n:result: +2024-10-29 15:05:13,338 - lightrag - INFO - get_node:query:MATCH (n:`CHRISTMAS-TIME`) RETURN n:result:"Christmas-time represents the festive season, a recurring theme that evokes memories and emotions in Scrooge’s reflections.""Christmas-time serves as a backdrop for the narrative, emphasizing themes of reflection, mortality, and social interactions."', 'source_id': 'chunk-f1a4fbcf1ed86864b9bfd5e8dba4c683chunk-c6c248858d1b13ab7ee9ca13c1aeed6bchunk-5dac41b3f9eeaf794f0147400b1718cd'}> +2024-10-29 15:05:13,444 - lightrag - INFO - get_node:query:MATCH (n:`KEYS`) RETURN n:result: +2024-10-29 15:05:13,548 - lightrag - INFO - get_node:query:MATCH (n:`THE TRANSPARENT WINDOW`) RETURN n:result: +2024-10-29 15:05:13,656 - lightrag - INFO - get_node:query:MATCH (n:`SCROOGE`) RETURN n:result:chunk-b2f98bc7abb0c67d4c86055c7fd72218chunk-91614df5cb74cbe5e109a338a82041e9chunk-8f738cb25d60a7dab782162d9d0a25edchunk-e7637ff18c5ded77a68cce0a87883fadchunk-d9aac3484185ac66045df92214d245d5chunk-90b95db5c53e4364a6bee36b7aa4d70fchunk-89777b838d5447c7bd1ec11282c4ee89chunk-c6c248858d1b13ab7ee9ca13c1aeed6bchunk-5dac41b3f9eeaf794f0147400b1718cdchunk-773d0df1dd25c356f7b771d780583e09chunk-843b5b2f944c7413d9ca876e2e2f151fchunk-f1a4fbcf1ed86864b9bfd5e8dba4c683chunk-359187e7571bda4b0b08b2e0b6581e52chunk-503f0bfa5453467c7c61d160a3540ecachunk-9c43dac2fcd5b578242d907ea6f8fc7bchunk-b0f459f5af1c3a5e0b92cbe4ee48b77bchunk-1aa50206d02ed89418f65f97c6441d1cchunk-54bdd22db1f84a965b5f4c06c9216d8dchunk-cb661c37436355ccec2769b1d0350c5fchunk-90d5764e301321c087f5a8f78b73a145chunk-91572b3cd42786ba4cb2f180ca25cbf4chunk-da2472b4ef2a535b62908f14d0fb0ca9chunk-99b0ec7f7e006561352b5d65e849611dchunk-43c9bee23adfa77aa9dedd22401bba7dchunk-83ac129dc9b56f84c46760d153d68e93chunk-e1f29eeadc1d8ab46dc8a0bbd3c56b64chunk-8590d9263cd2cd4fa583c432fc54e6c3chunk-02baee20cc9463dbe08170a8e1043e32chunk-94bea83e7153fc2064aa382b494936a1chunk-74e2466de2f67fd710ef2f20c0a8d9e0chunk-19d72c57ae3408758b18d2568e86dc6b'}> +2024-10-29 15:05:13,760 - lightrag - INFO - get_node:query:MATCH (n:`THE COLD`) RETURN n:result: +2024-10-29 15:05:13,870 - lightrag - INFO - get_node:query:MATCH (n:`CITY`) RETURN n:result:"The City represents the urban setting where Scrooge witnesses the indifference of its inhabitants regarding his death.""The City represents the urban setting where Scrooge\'s transformation takes place, symbolizing the broader society impacted by his changes."', 'source_id': 'chunk-843b5b2f944c7413d9ca876e2e2f151fchunk-94bea83e7153fc2064aa382b494936a1chunk-02baee20cc9463dbe08170a8e1043e32'}> +2024-10-29 15:05:13,975 - lightrag - INFO - get_node:query:MATCH (n:`THE GRAVE`) RETURN n:result: +2024-10-29 15:05:14,080 - lightrag - INFO - get_node:query:MATCH (n:`THE HOUSE`) RETURN n:result:"The House is the setting where Scrooge experiences the haunting, with a description of its features contributing to the eerie atmosphere."', 'source_id': 'chunk-da2472b4ef2a535b62908f14d0fb0ca9chunk-9c43dac2fcd5b578242d907ea6f8fc7b'}> +2024-10-29 15:05:14,186 - lightrag - INFO - get_node:query:MATCH (n:`THE CHAIN`) RETURN n:result:"The Chain symbolizes the burdens of the past that haunt the spirits, showcasing the consequences of one\'s actions in life."', 'source_id': 'chunk-359187e7571bda4b0b08b2e0b6581e52chunk-cb661c37436355ccec2769b1d0350c5f'}> +2024-10-29 15:05:14,291 - lightrag - INFO - get_node:query:MATCH (n:`THE BEDROOM`) RETURN n:result: +2024-10-29 15:05:14,396 - lightrag - INFO - get_node:query:MATCH (n:`HUMANITY`) RETURN n:result: +2024-10-29 15:05:14,501 - lightrag - INFO - get_node:query:MATCH (n:`THE DAUGHTER`) RETURN n:result: +2024-10-29 15:05:14,604 - lightrag - INFO - get_node:query:MATCH (n:`WINTER DAY`) RETURN n:result: +2024-10-29 15:05:14,714 - lightrag - INFO - get_node:query:MATCH (n:`POVERTY`) RETURN n:result: +2024-10-29 15:05:14,820 - lightrag - INFO - get_node:query:MATCH (n:`THE CANDLE`) RETURN n:result: +2024-10-29 15:05:14,917 - lightrag - INFO - get_node:query:MATCH (n:`SCHOOL`) RETURN n:result: +2024-10-29 15:05:15,028 - lightrag - INFO - get_node:query:MATCH (n:`THE CLOTHES AND ITEMS`) RETURN n:result: +2024-10-29 15:05:15,129 - lightrag - INFO - get_node:query:MATCH (n:`AVARICE`) RETURN n:result: +2024-10-29 15:05:15,228 - lightrag - INFO - get_node:query:MATCH (n:`THE CHAISE`) RETURN n:result: +2024-10-29 15:05:15,332 - lightrag - INFO - get_node:query:MATCH (n:`DEEDS`) RETURN n:result: +2024-10-29 15:05:15,441 - lightrag - INFO - get_node:query:MATCH (n:`THE DARK NIGHT`) RETURN n:result: +2024-10-29 15:05:15,544 - lightrag - INFO - get_node:query:MATCH (n:`THE SPRING`) RETURN n:result: +2024-10-29 15:05:15,643 - lightrag - INFO - get_node:query:MATCH (n:`THE CITY`) RETURN n:result:"The City represents the bustling urban environment where Scrooge reflects on his past, filled with activity and shadowy figures.""The City, from which Scrooge is transported, represents his past life and is contrasted with the open country road that signifies his memories."', 'source_id': 'chunk-bb21d58d36c6306fd8810ddd51c4a971chunk-c6c248858d1b13ab7ee9ca13c1aeed6bchunk-74e2466de2f67fd710ef2f20c0a8d9e0'}> +2024-10-29 15:05:15,744 - lightrag - INFO - get_node:query:MATCH (n:`THE MOTHER`) RETURN n:result:"The Mother is a character associated with the family dynamics during the Christmas scene, though her actions are not explicitly detailed.""The Mother is depicted as a comely matron, who enjoys the laughter and chaos with her children, showing warmth and family value."', 'source_id': 'chunk-da2472b4ef2a535b62908f14d0fb0ca9chunk-83ac129dc9b56f84c46760d153d68e93chunk-54bdd22db1f84a965b5f4c06c9216d8d'}> +2024-10-29 15:05:15,866 - lightrag - INFO - get_node:query:MATCH (n:`THE THREE SPIRITS`) RETURN n:result: +2024-10-29 15:05:15,973 - lightrag - INFO - get_node:query:MATCH (n:`KEYHOLE`) RETURN n:result: +2024-10-29 15:05:16,106 - lightrag - INFO - get_node:query:MATCH (n:`THE PENANCE`) RETURN n:result: +2024-10-29 15:05:16,204 - lightrag - INFO - get_node:query:MATCH (n:`SPIRIT`) RETURN n:result:"The Spirit embodies the lessons of compassion and social responsibility, guiding Scrooge through his reflections and realizations.""The Spirit is the manifestation of Scrooge\'s past that guides him through his memories, representing his former self and the influence of time.""The Spirit represents a ghostly entity, guiding Scrooge through visions of potential future events and urging him to acknowledge societal issues.""The Spirit represents a supernatural entity guiding Scrooge through his reflections on life, death, and human emotions, prompting self-awareness.""The Spirit represents the embodiment of the Christmas present, personifying the themes of generosity and merriment."', 'source_id': 'chunk-bb21d58d36c6306fd8810ddd51c4a971chunk-83ac129dc9b56f84c46760d153d68e93chunk-e7637ff18c5ded77a68cce0a87883fadchunk-843b5b2f944c7413d9ca876e2e2f151fchunk-1aa50206d02ed89418f65f97c6441d1cchunk-02baee20cc9463dbe08170a8e1043e32'}> +2024-10-29 15:05:16,306 - lightrag - INFO - get_node:query:MATCH (n:`FOUR-ROOMED HOUSE`) RETURN n:result: +2024-10-29 15:05:16,405 - lightrag - INFO - get_node:query:MATCH (n:`THE CANDLE-LIGHT`) RETURN n:result: +2024-10-29 15:05:16,505 - lightrag - INFO - get_node:query:MATCH (n:`THE FLANNEL BAG`) RETURN n:result: +2024-10-29 15:05:16,606 - lightrag - INFO - get_node:query:MATCH (n:`SHADOW OF HIMSELF`) RETURN n:result: +2024-10-29 15:05:16,706 - lightrag - INFO - get_node:query:MATCH (n:`SUNDAY CLOTHES BOY`) RETURN n:result: +2024-10-29 15:05:16,808 - lightrag - INFO - get_node:query:MATCH (n:`CHRISTMAS FEAST`) RETURN n:result: +2024-10-29 15:05:16,908 - lightrag - INFO - get_node:query:MATCH (n:`THE CRATCHIT FAMILY`) RETURN n:result: +2024-10-29 15:05:17,009 - lightrag - INFO - get_node:query:MATCH (n:`TWO YOUNG CRATCHITS`) RETURN n:result: +2024-10-29 15:05:17,108 - lightrag - INFO - get_node:query:MATCH (n:`THE BLESSED STAR`) RETURN n:result: +2024-10-29 15:05:17,203 - lightrag - INFO - get_node:query:MATCH (n:`THE OBSCURE PART OF TOWN`) RETURN n:result: +2024-10-29 15:05:17,304 - lightrag - INFO - get_node:query:MATCH (n:`JOE`) RETURN n:result:"Joe is a marine-store dealer depicted as receiving stolen goods, illustrating the consequences of crime and the darker sides of society.""Joe is portrayed as a character engaged in a conversation about the deceased, displaying a mix of humor and practicality in dealing with the possessions of the dead."', 'source_id': 'chunk-89777b838d5447c7bd1ec11282c4ee89chunk-9e3921da66da5d761ab73cd849af6c43chunk-e1f29eeadc1d8ab46dc8a0bbd3c56b64'}> +2024-10-29 15:05:17,403 - lightrag - INFO - get_node:query:MATCH (n:`THE BANDAGE`) RETURN n:result: +2024-10-29 15:05:17,505 - lightrag - INFO - get_node:query:MATCH (n:`LIGHT`) RETURN n:result: +2024-10-29 15:05:17,602 - lightrag - INFO - get_node:query:MATCH (n:`PADLOCKS`) RETURN n:result: +2024-10-29 15:05:17,759 - lightrag - INFO - _find_node_degree:query: + MATCH (n:`EMOTION`) + RETURN COUNT{ (n)--() } AS totalEdgeCount + :result:0 +2024-10-29 15:05:17,945 - lightrag - INFO - _find_node_degree:query: + MATCH (n:`DARKNESS`) + RETURN COUNT{ (n)--() } AS totalEdgeCount + :result:1 +2024-10-29 15:05:18,124 - lightrag - INFO - _find_node_degree:query: + MATCH (n:`THE SETTING SUN`) + RETURN COUNT{ (n)--() } AS totalEdgeCount + :result:1 +2024-10-29 15:05:18,307 - lightrag - INFO - _find_node_degree:query: + MATCH (n:`CHRISTMAS`) + RETURN COUNT{ (n)--() } AS totalEdgeCount + :result:18 +2024-10-29 15:05:18,489 - lightrag - INFO - _find_node_degree:query: + MATCH (n:`CHRISTMAS HOLIDAYS`) + RETURN COUNT{ (n)--() } AS totalEdgeCount + :result:0 +2024-10-29 15:05:18,687 - lightrag - INFO - _find_node_degree:query: + MATCH (n:`THE FIREPLACE`) + RETURN COUNT{ (n)--() } AS totalEdgeCount + :result:0 +2024-10-29 15:05:18,886 - lightrag - INFO - _find_node_degree:query: + MATCH (n:`PONDEROUS CHAIN`) + RETURN COUNT{ (n)--() } AS totalEdgeCount + :result:0 +2024-10-29 15:05:19,071 - lightrag - INFO - _find_node_degree:query: + MATCH (n:`THE PHANTOM`) + RETURN COUNT{ (n)--() } AS totalEdgeCount + :result:2 +2024-10-29 15:05:19,250 - lightrag - INFO - _find_node_degree:query: + MATCH (n:`DEATH`) + RETURN COUNT{ (n)--() } AS totalEdgeCount + :result:3 +2024-10-29 15:05:19,432 - lightrag - INFO - _find_node_degree:query: + MATCH (n:`RUSTY KEYS, NAILS, CHAINS, HINGES`) + RETURN COUNT{ (n)--() } AS totalEdgeCount + :result:1 +2024-10-29 15:05:19,616 - lightrag - INFO - _find_node_degree:query: + MATCH (n:`THE ROOM BY DAYLIGHT`) + RETURN COUNT{ (n)--() } AS totalEdgeCount + :result:0 +2024-10-29 15:05:19,796 - lightrag - INFO - _find_node_degree:query: + MATCH (n:`THE COSMIC SIGNIFICANCE`) + RETURN COUNT{ (n)--() } AS totalEdgeCount + :result:0 +2024-10-29 15:05:19,978 - lightrag - INFO - _find_node_degree:query: + MATCH (n:`THE BED`) + RETURN COUNT{ (n)--() } AS totalEdgeCount + :result:1 +2024-10-29 15:05:20,183 - lightrag - INFO - _find_node_degree:query: + MATCH (n:`LONDON`) + RETURN COUNT{ (n)--() } AS totalEdgeCount + :result:1 +2024-10-29 15:05:20,371 - lightrag - INFO - _find_node_degree:query: + MATCH (n:`THE BOTTLE`) + RETURN COUNT{ (n)--() } AS totalEdgeCount + :result:0 +2024-10-29 15:05:20,548 - lightrag - INFO - _find_node_degree:query: + MATCH (n:`FEARFUL PLACE`) + RETURN COUNT{ (n)--() } AS totalEdgeCount + :result:0 +2024-10-29 15:05:20,733 - lightrag - INFO - _find_node_degree:query: + MATCH (n:`THE DARK ROOM`) + RETURN COUNT{ (n)--() } AS totalEdgeCount + :result:0 +2024-10-29 15:05:20,912 - lightrag - INFO - _find_node_degree:query: + MATCH (n:`FROST`) + RETURN COUNT{ (n)--() } AS totalEdgeCount + :result:1 +2024-10-29 15:05:21,087 - lightrag - INFO - _find_node_degree:query: + MATCH (n:`CHRISTMAS-TIME`) + RETURN COUNT{ (n)--() } AS totalEdgeCount + :result:2 +2024-10-29 15:05:21,266 - lightrag - INFO - _find_node_degree:query: + MATCH (n:`KEYS`) + RETURN COUNT{ (n)--() } AS totalEdgeCount + :result:0 +2024-10-29 15:05:21,489 - lightrag - INFO - _find_node_degree:query: + MATCH (n:`THE TRANSPARENT WINDOW`) + RETURN COUNT{ (n)--() } AS totalEdgeCount + :result:0 +2024-10-29 15:05:21,747 - lightrag - INFO - _find_node_degree:query: + MATCH (n:`SCROOGE`) + RETURN COUNT{ (n)--() } AS totalEdgeCount + :result:100 +2024-10-29 15:05:21,929 - lightrag - INFO - _find_node_degree:query: + MATCH (n:`THE COLD`) + RETURN COUNT{ (n)--() } AS totalEdgeCount + :result:1 +2024-10-29 15:05:22,104 - lightrag - INFO - _find_node_degree:query: + MATCH (n:`CITY`) + RETURN COUNT{ (n)--() } AS totalEdgeCount + :result:1 +2024-10-29 15:05:22,279 - lightrag - INFO - _find_node_degree:query: + MATCH (n:`THE GRAVE`) + RETURN COUNT{ (n)--() } AS totalEdgeCount + :result:1 +2024-10-29 15:05:22,452 - lightrag - INFO - _find_node_degree:query: + MATCH (n:`THE HOUSE`) + RETURN COUNT{ (n)--() } AS totalEdgeCount + :result:2 +2024-10-29 15:05:22,632 - lightrag - INFO - _find_node_degree:query: + MATCH (n:`THE CHAIN`) + RETURN COUNT{ (n)--() } AS totalEdgeCount + :result:0 +2024-10-29 15:05:22,812 - lightrag - INFO - _find_node_degree:query: + MATCH (n:`THE BEDROOM`) + RETURN COUNT{ (n)--() } AS totalEdgeCount + :result:1 +2024-10-29 15:05:22,992 - lightrag - INFO - _find_node_degree:query: + MATCH (n:`HUMANITY`) + RETURN COUNT{ (n)--() } AS totalEdgeCount + :result:1 +2024-10-29 15:05:23,170 - lightrag - INFO - _find_node_degree:query: + MATCH (n:`THE DAUGHTER`) + RETURN COUNT{ (n)--() } AS totalEdgeCount + :result:1 +2024-10-29 15:05:23,349 - lightrag - INFO - _find_node_degree:query: + MATCH (n:`WINTER DAY`) + RETURN COUNT{ (n)--() } AS totalEdgeCount + :result:0 +2024-10-29 15:05:23,526 - lightrag - INFO - _find_node_degree:query: + MATCH (n:`POVERTY`) + RETURN COUNT{ (n)--() } AS totalEdgeCount + :result:1 +2024-10-29 15:05:23,702 - lightrag - INFO - _find_node_degree:query: + MATCH (n:`THE CANDLE`) + RETURN COUNT{ (n)--() } AS totalEdgeCount + :result:1 +2024-10-29 15:05:23,879 - lightrag - INFO - _find_node_degree:query: + MATCH (n:`SCHOOL`) + RETURN COUNT{ (n)--() } AS totalEdgeCount + :result:2 +2024-10-29 15:05:24,055 - lightrag - INFO - _find_node_degree:query: + MATCH (n:`THE CLOTHES AND ITEMS`) + RETURN COUNT{ (n)--() } AS totalEdgeCount + :result:0 +2024-10-29 15:05:24,231 - lightrag - INFO - _find_node_degree:query: + MATCH (n:`AVARICE`) + RETURN COUNT{ (n)--() } AS totalEdgeCount + :result:0 +2024-10-29 15:05:24,408 - lightrag - INFO - _find_node_degree:query: + MATCH (n:`THE CHAISE`) + RETURN COUNT{ (n)--() } AS totalEdgeCount + :result:0 +2024-10-29 15:05:24,579 - lightrag - INFO - _find_node_degree:query: + MATCH (n:`DEEDS`) + RETURN COUNT{ (n)--() } AS totalEdgeCount + :result:0 +2024-10-29 15:05:24,761 - lightrag - INFO - _find_node_degree:query: + MATCH (n:`THE DARK NIGHT`) + RETURN COUNT{ (n)--() } AS totalEdgeCount + :result:0 +2024-10-29 15:05:24,949 - lightrag - INFO - _find_node_degree:query: + MATCH (n:`THE SPRING`) + RETURN COUNT{ (n)--() } AS totalEdgeCount + :result:0 +2024-10-29 15:05:25,132 - lightrag - INFO - _find_node_degree:query: + MATCH (n:`THE CITY`) + RETURN COUNT{ (n)--() } AS totalEdgeCount + :result:3 +2024-10-29 15:05:25,333 - lightrag - INFO - _find_node_degree:query: + MATCH (n:`THE MOTHER`) + RETURN COUNT{ (n)--() } AS totalEdgeCount + :result:2 +2024-10-29 15:05:25,535 - lightrag - INFO - _find_node_degree:query: + MATCH (n:`THE THREE SPIRITS`) + RETURN COUNT{ (n)--() } AS totalEdgeCount + :result:1 +2024-10-29 15:05:25,709 - lightrag - INFO - _find_node_degree:query: + MATCH (n:`KEYHOLE`) + RETURN COUNT{ (n)--() } AS totalEdgeCount + :result:0 +2024-10-29 15:05:25,886 - lightrag - INFO - _find_node_degree:query: + MATCH (n:`THE PENANCE`) + RETURN COUNT{ (n)--() } AS totalEdgeCount + :result:0 +2024-10-29 15:05:26,057 - lightrag - INFO - _find_node_degree:query: + MATCH (n:`SPIRIT`) + RETURN COUNT{ (n)--() } AS totalEdgeCount + :result:9 +2024-10-29 15:05:26,231 - lightrag - INFO - _find_node_degree:query: + MATCH (n:`FOUR-ROOMED HOUSE`) + RETURN COUNT{ (n)--() } AS totalEdgeCount + :result:0 +2024-10-29 15:05:26,405 - lightrag - INFO - _find_node_degree:query: + MATCH (n:`THE CANDLE-LIGHT`) + RETURN COUNT{ (n)--() } AS totalEdgeCount + :result:0 +2024-10-29 15:05:26,580 - lightrag - INFO - _find_node_degree:query: + MATCH (n:`THE FLANNEL BAG`) + RETURN COUNT{ (n)--() } AS totalEdgeCount + :result:0 +2024-10-29 15:05:26,755 - lightrag - INFO - _find_node_degree:query: + MATCH (n:`SHADOW OF HIMSELF`) + RETURN COUNT{ (n)--() } AS totalEdgeCount + :result:1 +2024-10-29 15:05:26,933 - lightrag - INFO - _find_node_degree:query: + MATCH (n:`SUNDAY CLOTHES BOY`) + RETURN COUNT{ (n)--() } AS totalEdgeCount + :result:1 +2024-10-29 15:05:27,106 - lightrag - INFO - _find_node_degree:query: + MATCH (n:`CHRISTMAS FEAST`) + RETURN COUNT{ (n)--() } AS totalEdgeCount + :result:1 +2024-10-29 15:05:27,280 - lightrag - INFO - _find_node_degree:query: + MATCH (n:`THE CRATCHIT FAMILY`) + RETURN COUNT{ (n)--() } AS totalEdgeCount + :result:0 +2024-10-29 15:05:27,461 - lightrag - INFO - _find_node_degree:query: + MATCH (n:`TWO YOUNG CRATCHITS`) + RETURN COUNT{ (n)--() } AS totalEdgeCount + :result:0 +2024-10-29 15:05:27,632 - lightrag - INFO - _find_node_degree:query: + MATCH (n:`THE BLESSED STAR`) + RETURN COUNT{ (n)--() } AS totalEdgeCount + :result:0 +2024-10-29 15:05:27,806 - lightrag - INFO - _find_node_degree:query: + MATCH (n:`THE OBSCURE PART OF TOWN`) + RETURN COUNT{ (n)--() } AS totalEdgeCount + :result:2 +2024-10-29 15:05:27,980 - lightrag - INFO - _find_node_degree:query: + MATCH (n:`JOE`) + RETURN COUNT{ (n)--() } AS totalEdgeCount + :result:2 +2024-10-29 15:05:28,158 - lightrag - INFO - _find_node_degree:query: + MATCH (n:`THE BANDAGE`) + RETURN COUNT{ (n)--() } AS totalEdgeCount + :result:0 +2024-10-29 15:05:28,332 - lightrag - INFO - _find_node_degree:query: + MATCH (n:`LIGHT`) + RETURN COUNT{ (n)--() } AS totalEdgeCount + :result:1 +2024-10-29 15:05:28,507 - lightrag - INFO - _find_node_degree:query: + MATCH (n:`PADLOCKS`) + RETURN COUNT{ (n)--() } AS totalEdgeCount + :result:0 +2024-10-29 15:07:37,244 - lightrag - INFO - Logger initialized for working directory: ./neo4jWorkDir +2024-10-29 15:07:37,244 - lightrag - DEBUG - LightRAG init with param: + working_dir = ./neo4jWorkDir, + chunk_token_size = 1200, + chunk_overlap_token_size = 100, + tiktoken_model_name = gpt-4o-mini, + entity_extract_max_gleaning = 1, + entity_summary_to_max_tokens = 500, + node_embedding_algorithm = node2vec, + node2vec_params = {'dimensions': 1536, 'num_walks': 10, 'walk_length': 40, 'window_size': 2, 'iterations': 3, 'random_seed': 3}, + embedding_func = {'embedding_dim': 1536, 'max_token_size': 8192, 'func': }, + embedding_batch_num = 32, + embedding_func_max_async = 16, + llm_model_func = , + llm_model_name = meta-llama/Llama-3.2-1B-Instruct, + llm_model_max_token_size = 32768, + llm_model_max_async = 16, + key_string_value_json_storage_cls = , + vector_db_storage_cls = , + vector_db_storage_cls_kwargs = {}, + graph_storage_cls = , + enable_llm_cache = True, + addon_params = {}, + convert_response_to_json_func = + +2024-10-29 15:07:37,244 - lightrag - INFO - Load KV full_docs with 1 data +2024-10-29 15:07:37,245 - lightrag - INFO - Load KV text_chunks with 42 data +2024-10-29 15:07:37,246 - lightrag - INFO - Load KV llm_response_cache with 86 data +2024-10-29 15:07:37,266 - lightrag - INFO - Creating a new event loop in a sub-thread. +2024-10-29 15:07:37,267 - lightrag - WARNING - All docs are already in the storage +2024-10-29 15:07:37,287 - lightrag - INFO - Creating a new event loop in a sub-thread. +2024-10-29 15:07:37,727 - lightrag - INFO - Truncate 39 to 3 chunks +2024-10-29 15:07:37,744 - lightrag - INFO - Creating a new event loop in a sub-thread. +2024-10-29 15:07:39,610 - lightrag - INFO - get_node:query:MATCH (n:`EMOTION`) RETURN n:result: +2024-10-29 15:07:39,706 - lightrag - INFO - get_node:query:MATCH (n:`DARKNESS`) RETURN n:result: +2024-10-29 15:07:39,802 - lightrag - INFO - get_node:query:MATCH (n:`THE PHANTOM`) RETURN n:result: +2024-10-29 15:07:39,898 - lightrag - INFO - get_node:query:MATCH (n:`THE COSMIC SIGNIFICANCE`) RETURN n:result: +2024-10-29 15:07:40,005 - lightrag - INFO - get_node:query:MATCH (n:`CHRISTMAS HOLIDAYS`) RETURN n:result: +2024-10-29 15:07:40,115 - lightrag - INFO - get_node:query:MATCH (n:`PONDEROUS CHAIN`) RETURN n:result: +2024-10-29 15:07:40,249 - lightrag - INFO - get_node:query:MATCH (n:`HUMANITY`) RETURN n:result: +2024-10-29 15:07:40,344 - lightrag - INFO - get_node:query:MATCH (n:`CHRISTMAS`) RETURN n:result:"Christmas is a festive occasion that has led to a joyful transformation in Scrooge\'s character and actions.""Christmas is a festive time celebrated by the Cratchit family, symbolizing joy, family togetherness, and generosity.""Christmas is a significant holiday that serves as the backdrop for Scrooge\'s transformation and the events that unfold during the narrative.""Christmas is a significant holiday that triggers Scrooge\'s memories and reflections on joy, loneliness, and his past.""Christmas is central to the text, symbolizing generosity, charity, and warmth that Scrooge rejects.""Christmas is depicted as a festive season when charity and social duty are emphasized, contrasting with Scrooge\'s values.""Christmas is depicted as a time associated with joy and abundance, contrasting with Scrooge\'s initial views.""Christmas is depicted as a time of joy and communal spirit, marked by people\'s activities and interactions in the streets.""Christmas is depicted as a time of joy and generosity, contrasting sharply with Scrooge\'s past behavior and current solitude.""Christmas is portrayed as a festive time that Scrooge dismisses, emphasizing the contrast between joy and his miserable attitude.""Christmas is portrayed as a time of joy, reflection, and connection, emphasizing the positive impact of the holiday spirit on individuals and communities.""Christmas is presented as a time for merriment and social gatherings, which Scrooge\'s nephew advocates for despite his uncle\'s opposition.""Christmas is the central holiday during which the events unfold, leading to significant character transformations and themes of generosity.""Christmas is the season during which festive activities and celebrations are occurring, including dances and gatherings.""Christmas represents a time of reflection and change for Scrooge, emphasizing themes of redemption.""Christmas serves as a thematic backdrop for the story, symbolizing redemption, generosity, and the spirit of giving."', 'source_id': 'chunk-91614df5cb74cbe5e109a338a82041e9chunk-503f0bfa5453467c7c61d160a3540ecachunk-773d0df1dd25c356f7b771d780583e09chunk-8f738cb25d60a7dab782162d9d0a25edchunk-e7637ff18c5ded77a68cce0a87883fadchunk-8590d9263cd2cd4fa583c432fc54e6c3chunk-54bdd22db1f84a965b5f4c06c9216d8dchunk-02baee20cc9463dbe08170a8e1043e32chunk-90d5764e301321c087f5a8f78b73a145chunk-91572b3cd42786ba4cb2f180ca25cbf4chunk-1d4b58de5429cd1261370c231c8673e8chunk-da2472b4ef2a535b62908f14d0fb0ca9chunk-94bea83e7153fc2064aa382b494936a1chunk-89777b838d5447c7bd1ec11282c4ee89chunk-99b0ec7f7e006561352b5d65e849611dchunk-74e2466de2f67fd710ef2f20c0a8d9e0chunk-5dac41b3f9eeaf794f0147400b1718cd'}> +2024-10-29 15:07:40,437 - lightrag - INFO - get_node:query:MATCH (n:`DEATH`) RETURN n:result:"Death is described as a powerful force in the narrative, represented through the imagery of a cold, rigid presence and the contemplation of mortality.""Death refers to the passing of a character that triggers a range of emotions and reflections among the living, influencing their lives and relationships."', 'source_id': 'chunk-e1f29eeadc1d8ab46dc8a0bbd3c56b64chunk-83ac129dc9b56f84c46760d153d68e93chunk-02baee20cc9463dbe08170a8e1043e32'}> +2024-10-29 15:07:40,530 - lightrag - INFO - get_node:query:MATCH (n:`SCROOGE`) RETURN n:result:chunk-b2f98bc7abb0c67d4c86055c7fd72218chunk-91614df5cb74cbe5e109a338a82041e9chunk-8f738cb25d60a7dab782162d9d0a25edchunk-e7637ff18c5ded77a68cce0a87883fadchunk-d9aac3484185ac66045df92214d245d5chunk-90b95db5c53e4364a6bee36b7aa4d70fchunk-89777b838d5447c7bd1ec11282c4ee89chunk-c6c248858d1b13ab7ee9ca13c1aeed6bchunk-5dac41b3f9eeaf794f0147400b1718cdchunk-773d0df1dd25c356f7b771d780583e09chunk-843b5b2f944c7413d9ca876e2e2f151fchunk-f1a4fbcf1ed86864b9bfd5e8dba4c683chunk-359187e7571bda4b0b08b2e0b6581e52chunk-503f0bfa5453467c7c61d160a3540ecachunk-9c43dac2fcd5b578242d907ea6f8fc7bchunk-b0f459f5af1c3a5e0b92cbe4ee48b77bchunk-1aa50206d02ed89418f65f97c6441d1cchunk-54bdd22db1f84a965b5f4c06c9216d8dchunk-cb661c37436355ccec2769b1d0350c5fchunk-90d5764e301321c087f5a8f78b73a145chunk-91572b3cd42786ba4cb2f180ca25cbf4chunk-da2472b4ef2a535b62908f14d0fb0ca9chunk-99b0ec7f7e006561352b5d65e849611dchunk-43c9bee23adfa77aa9dedd22401bba7dchunk-83ac129dc9b56f84c46760d153d68e93chunk-e1f29eeadc1d8ab46dc8a0bbd3c56b64chunk-8590d9263cd2cd4fa583c432fc54e6c3chunk-02baee20cc9463dbe08170a8e1043e32chunk-94bea83e7153fc2064aa382b494936a1chunk-74e2466de2f67fd710ef2f20c0a8d9e0chunk-19d72c57ae3408758b18d2568e86dc6b'}> +2024-10-29 15:07:40,623 - lightrag - INFO - get_node:query:MATCH (n:`RUSTY KEYS, NAILS, CHAINS, HINGES`) RETURN n:result: +2024-10-29 15:07:40,715 - lightrag - INFO - get_node:query:MATCH (n:`THE PENANCE`) RETURN n:result: +2024-10-29 15:07:40,807 - lightrag - INFO - get_node:query:MATCH (n:`MAN`) RETURN n:result: +2024-10-29 15:07:40,896 - lightrag - INFO - get_node:query:MATCH (n:`THE SCHOOLMASTER`) RETURN n:result: +2024-10-29 15:07:40,988 - lightrag - INFO - get_node:query:MATCH (n:`THE GRAVE`) RETURN n:result: +2024-10-29 15:07:41,082 - lightrag - INFO - get_node:query:MATCH (n:`KEYHOLE`) RETURN n:result: +2024-10-29 15:07:41,175 - lightrag - INFO - get_node:query:MATCH (n:`SCHOOL`) RETURN n:result: +2024-10-29 15:07:41,271 - lightrag - INFO - get_node:query:MATCH (n:`THE CHAIN`) RETURN n:result:"The Chain symbolizes the burdens of the past that haunt the spirits, showcasing the consequences of one\'s actions in life."', 'source_id': 'chunk-359187e7571bda4b0b08b2e0b6581e52chunk-cb661c37436355ccec2769b1d0350c5f'}> +2024-10-29 15:07:41,365 - lightrag - INFO - get_node:query:MATCH (n:`THE THREE SPIRITS`) RETURN n:result: +2024-10-29 15:07:41,459 - lightrag - INFO - get_node:query:MATCH (n:`THE COLD`) RETURN n:result: +2024-10-29 15:07:41,552 - lightrag - INFO - get_node:query:MATCH (n:`DEEDS`) RETURN n:result: +2024-10-29 15:07:41,644 - lightrag - INFO - get_node:query:MATCH (n:`THE BLESSED STAR`) RETURN n:result: +2024-10-29 15:07:41,738 - lightrag - INFO - get_node:query:MATCH (n:`THE CANDLE`) RETURN n:result: +2024-10-29 15:07:41,830 - lightrag - INFO - get_node:query:MATCH (n:`FROST`) RETURN n:result: +2024-10-29 15:07:41,920 - lightrag - INFO - get_node:query:MATCH (n:`THE TRANSPARENT WINDOW`) RETURN n:result: +2024-10-29 15:07:42,008 - lightrag - INFO - get_node:query:MATCH (n:`THE CANDLE-LIGHT`) RETURN n:result: +2024-10-29 15:07:42,098 - lightrag - INFO - get_node:query:MATCH (n:`POVERTY`) RETURN n:result: +2024-10-29 15:07:42,187 - lightrag - INFO - get_node:query:MATCH (n:`SUNDAY CLOTHES BOY`) RETURN n:result: +2024-10-29 15:07:42,275 - lightrag - INFO - get_node:query:MATCH (n:`THE SOLITARY CHILD`) RETURN n:result: +2024-10-29 15:07:42,367 - lightrag - INFO - get_node:query:MATCH (n:`CITY`) RETURN n:result:"The City represents the urban setting where Scrooge witnesses the indifference of its inhabitants regarding his death.""The City represents the urban setting where Scrooge\'s transformation takes place, symbolizing the broader society impacted by his changes."', 'source_id': 'chunk-843b5b2f944c7413d9ca876e2e2f151fchunk-94bea83e7153fc2064aa382b494936a1chunk-02baee20cc9463dbe08170a8e1043e32'}> +2024-10-29 15:07:42,463 - lightrag - INFO - get_node:query:MATCH (n:`FEARFUL PLACE`) RETURN n:result: +2024-10-29 15:07:42,557 - lightrag - INFO - get_node:query:MATCH (n:`IRON CABLE`) RETURN n:result: +2024-10-29 15:07:42,649 - lightrag - INFO - get_node:query:MATCH (n:`SPIRIT`) RETURN n:result:"The Spirit embodies the lessons of compassion and social responsibility, guiding Scrooge through his reflections and realizations.""The Spirit is the manifestation of Scrooge\'s past that guides him through his memories, representing his former self and the influence of time.""The Spirit represents a ghostly entity, guiding Scrooge through visions of potential future events and urging him to acknowledge societal issues.""The Spirit represents a supernatural entity guiding Scrooge through his reflections on life, death, and human emotions, prompting self-awareness.""The Spirit represents the embodiment of the Christmas present, personifying the themes of generosity and merriment."', 'source_id': 'chunk-bb21d58d36c6306fd8810ddd51c4a971chunk-83ac129dc9b56f84c46760d153d68e93chunk-e7637ff18c5ded77a68cce0a87883fadchunk-843b5b2f944c7413d9ca876e2e2f151fchunk-1aa50206d02ed89418f65f97c6441d1cchunk-02baee20cc9463dbe08170a8e1043e32'}> +2024-10-29 15:07:42,741 - lightrag - INFO - get_node:query:MATCH (n:`THE SETTING SUN`) RETURN n:result: +2024-10-29 15:07:42,834 - lightrag - INFO - get_node:query:MATCH (n:`KEYS`) RETURN n:result: +2024-10-29 15:07:42,923 - lightrag - INFO - get_node:query:MATCH (n:`THE CLOTHES AND ITEMS`) RETURN n:result: +2024-10-29 15:07:43,010 - lightrag - INFO - get_node:query:MATCH (n:`AVARICE`) RETURN n:result: +2024-10-29 15:07:43,100 - lightrag - INFO - get_node:query:MATCH (n:`THE FIREPLACE`) RETURN n:result: +2024-10-29 15:07:43,189 - lightrag - INFO - get_node:query:MATCH (n:`WANT`) RETURN n:result: +2024-10-29 15:07:43,286 - lightrag - INFO - get_node:query:MATCH (n:`THE DAUGHTER`) RETURN n:result: +2024-10-29 15:07:43,377 - lightrag - INFO - get_node:query:MATCH (n:`CHRISTMAS-TIME`) RETURN n:result:"Christmas-time represents the festive season, a recurring theme that evokes memories and emotions in Scrooge’s reflections.""Christmas-time serves as a backdrop for the narrative, emphasizing themes of reflection, mortality, and social interactions."', 'source_id': 'chunk-f1a4fbcf1ed86864b9bfd5e8dba4c683chunk-c6c248858d1b13ab7ee9ca13c1aeed6bchunk-5dac41b3f9eeaf794f0147400b1718cd'}> +2024-10-29 15:07:43,470 - lightrag - INFO - get_node:query:MATCH (n:`THE BED`) RETURN n:result: +2024-10-29 15:07:43,563 - lightrag - INFO - get_node:query:MATCH (n:`SHADOW OF HIMSELF`) RETURN n:result: +2024-10-29 15:07:43,655 - lightrag - INFO - get_node:query:MATCH (n:`KIND WORD`) RETURN n:result: +2024-10-29 15:07:43,747 - lightrag - INFO - get_node:query:MATCH (n:`GAOL`) RETURN n:result: +2024-10-29 15:07:43,841 - lightrag - INFO - get_node:query:MATCH (n:`IGNORANCE`) RETURN n:result:"Ignorance is personified as a boy that symbolizes the dangers of ignoring social issues and the consequences of a lack of awareness."', 'source_id': 'chunk-02baee20cc9463dbe08170a8e1043e32chunk-e7637ff18c5ded77a68cce0a87883fad'}> +2024-10-29 15:07:43,927 - lightrag - INFO - get_node:query:MATCH (n:`CHILDREN`) RETURN n:result:"The Children represent the joyful, carefree aspects of Scrooge\'s past, embodying happiness and the innocence of youth that he has long forgotten."', 'source_id': 'chunk-bb21d58d36c6306fd8810ddd51c4a971chunk-e7637ff18c5ded77a68cce0a87883fad'}> +2024-10-29 15:07:44,019 - lightrag - INFO - get_node:query:MATCH (n:`THE ROOM BY DAYLIGHT`) RETURN n:result: +2024-10-29 15:07:44,111 - lightrag - INFO - get_node:query:MATCH (n:`THE BOTTLE`) RETURN n:result: +2024-10-29 15:07:44,204 - lightrag - INFO - get_node:query:MATCH (n:`THE FLANNEL BAG`) RETURN n:result: +2024-10-29 15:07:44,299 - lightrag - INFO - get_node:query:MATCH (n:`THE YOUNG GIRL`) RETURN n:result: +2024-10-29 15:07:44,392 - lightrag - INFO - get_node:query:MATCH (n:`A CHRISTMAS CAROL`) RETURN n:result: +2024-10-29 15:07:44,484 - lightrag - INFO - get_node:query:MATCH (n:`THE CITY`) RETURN n:result:"The City represents the bustling urban environment where Scrooge reflects on his past, filled with activity and shadowy figures.""The City, from which Scrooge is transported, represents his past life and is contrasted with the open country road that signifies his memories."', 'source_id': 'chunk-bb21d58d36c6306fd8810ddd51c4a971chunk-c6c248858d1b13ab7ee9ca13c1aeed6bchunk-74e2466de2f67fd710ef2f20c0a8d9e0'}> +2024-10-29 15:07:44,577 - lightrag - INFO - get_node:query:MATCH (n:`GHOST`) RETURN n:result:"The Ghost refers to the spirit guiding Scrooge, embodying the themes of memory and reflection on the joys of Christmas.""The Ghost represents a spiritual guide that takes Scrooge on a journey to learn important lessons about compassion and humanity.""The Ghost serves as a supernatural guide for Scrooge, prompting him to reflect on his life and choices."', 'source_id': 'chunk-503f0bfa5453467c7c61d160a3540ecachunk-c6c248858d1b13ab7ee9ca13c1aeed6bchunk-e7637ff18c5ded77a68cce0a87883fadchunk-43c9bee23adfa77aa9dedd22401bba7d'}> +2024-10-29 15:07:44,670 - lightrag - INFO - get_node:query:MATCH (n:`MERCILESS CREDITOR`) RETURN n:result: +2024-10-29 15:07:44,764 - lightrag - INFO - get_node:query:MATCH (n:`THE SPIRITS`) RETURN n:result:"The Spirits represent the past, present, and future in Scrooge\'s life, guiding him toward redemption and self-reflection."', 'source_id': 'chunk-90b95db5c53e4364a6bee36b7aa4d70fchunk-cb661c37436355ccec2769b1d0350c5f'}> +2024-10-29 15:07:44,853 - lightrag - INFO - get_node:query:MATCH (n:`THE MOTHER`) RETURN n:result:"The Mother is a character associated with the family dynamics during the Christmas scene, though her actions are not explicitly detailed.""The Mother is depicted as a comely matron, who enjoys the laughter and chaos with her children, showing warmth and family value."', 'source_id': 'chunk-da2472b4ef2a535b62908f14d0fb0ca9chunk-83ac129dc9b56f84c46760d153d68e93chunk-54bdd22db1f84a965b5f4c06c9216d8d'}> +2024-10-29 15:07:44,942 - lightrag - INFO - get_node:query:MATCH (n:`LIGHT`) RETURN n:result: +2024-10-29 15:07:45,036 - lightrag - INFO - get_node:query:MATCH (n:`TWO YOUNG CRATCHITS`) RETURN n:result: +2024-10-29 15:07:45,130 - lightrag - INFO - get_node:query:MATCH (n:`JOE`) RETURN n:result:"Joe is a marine-store dealer depicted as receiving stolen goods, illustrating the consequences of crime and the darker sides of society.""Joe is portrayed as a character engaged in a conversation about the deceased, displaying a mix of humor and practicality in dealing with the possessions of the dead."', 'source_id': 'chunk-89777b838d5447c7bd1ec11282c4ee89chunk-9e3921da66da5d761ab73cd849af6c43chunk-e1f29eeadc1d8ab46dc8a0bbd3c56b64'}> +2024-10-29 15:07:45,270 - lightrag - INFO - _find_node_degree:query: + MATCH (n:`EMOTION`) + RETURN COUNT{ (n)--() } AS totalEdgeCount + :result:0 +2024-10-29 15:07:45,448 - lightrag - INFO - _find_node_degree:query: + MATCH (n:`DARKNESS`) + RETURN COUNT{ (n)--() } AS totalEdgeCount + :result:1 +2024-10-29 15:07:45,631 - lightrag - INFO - _find_node_degree:query: + MATCH (n:`THE PHANTOM`) + RETURN COUNT{ (n)--() } AS totalEdgeCount + :result:2 +2024-10-29 15:07:45,807 - lightrag - INFO - _find_node_degree:query: + MATCH (n:`THE COSMIC SIGNIFICANCE`) + RETURN COUNT{ (n)--() } AS totalEdgeCount + :result:0 +2024-10-29 15:07:45,982 - lightrag - INFO - _find_node_degree:query: + MATCH (n:`CHRISTMAS HOLIDAYS`) + RETURN COUNT{ (n)--() } AS totalEdgeCount + :result:0 +2024-10-29 15:07:46,153 - lightrag - INFO - _find_node_degree:query: + MATCH (n:`PONDEROUS CHAIN`) + RETURN COUNT{ (n)--() } AS totalEdgeCount + :result:0 +2024-10-29 15:07:46,327 - lightrag - INFO - _find_node_degree:query: + MATCH (n:`HUMANITY`) + RETURN COUNT{ (n)--() } AS totalEdgeCount + :result:1 +2024-10-29 15:07:46,498 - lightrag - INFO - _find_node_degree:query: + MATCH (n:`CHRISTMAS`) + RETURN COUNT{ (n)--() } AS totalEdgeCount + :result:18 +2024-10-29 15:07:46,670 - lightrag - INFO - _find_node_degree:query: + MATCH (n:`DEATH`) + RETURN COUNT{ (n)--() } AS totalEdgeCount + :result:3 +2024-10-29 15:07:46,842 - lightrag - INFO - _find_node_degree:query: + MATCH (n:`SCROOGE`) + RETURN COUNT{ (n)--() } AS totalEdgeCount + :result:100 +2024-10-29 15:07:47,006 - lightrag - INFO - _find_node_degree:query: + MATCH (n:`RUSTY KEYS, NAILS, CHAINS, HINGES`) + RETURN COUNT{ (n)--() } AS totalEdgeCount + :result:1 +2024-10-29 15:07:47,180 - lightrag - INFO - _find_node_degree:query: + MATCH (n:`THE PENANCE`) + RETURN COUNT{ (n)--() } AS totalEdgeCount + :result:0 +2024-10-29 15:07:47,351 - lightrag - INFO - _find_node_degree:query: + MATCH (n:`MAN`) + RETURN COUNT{ (n)--() } AS totalEdgeCount + :result:1 +2024-10-29 15:07:47,529 - lightrag - INFO - _find_node_degree:query: + MATCH (n:`THE SCHOOLMASTER`) + RETURN COUNT{ (n)--() } AS totalEdgeCount + :result:1 +2024-10-29 15:07:47,726 - lightrag - INFO - _find_node_degree:query: + MATCH (n:`THE GRAVE`) + RETURN COUNT{ (n)--() } AS totalEdgeCount + :result:1 +2024-10-29 15:07:47,903 - lightrag - INFO - _find_node_degree:query: + MATCH (n:`KEYHOLE`) + RETURN COUNT{ (n)--() } AS totalEdgeCount + :result:0 +2024-10-29 15:07:48,077 - lightrag - INFO - _find_node_degree:query: + MATCH (n:`SCHOOL`) + RETURN COUNT{ (n)--() } AS totalEdgeCount + :result:2 +2024-10-29 15:07:48,242 - lightrag - INFO - _find_node_degree:query: + MATCH (n:`THE CHAIN`) + RETURN COUNT{ (n)--() } AS totalEdgeCount + :result:0 +2024-10-29 15:07:48,422 - lightrag - INFO - _find_node_degree:query: + MATCH (n:`THE THREE SPIRITS`) + RETURN COUNT{ (n)--() } AS totalEdgeCount + :result:1 +2024-10-29 15:07:48,596 - lightrag - INFO - _find_node_degree:query: + MATCH (n:`THE COLD`) + RETURN COUNT{ (n)--() } AS totalEdgeCount + :result:1 +2024-10-29 15:07:48,766 - lightrag - INFO - _find_node_degree:query: + MATCH (n:`DEEDS`) + RETURN COUNT{ (n)--() } AS totalEdgeCount + :result:0 +2024-10-29 15:07:48,940 - lightrag - INFO - _find_node_degree:query: + MATCH (n:`THE BLESSED STAR`) + RETURN COUNT{ (n)--() } AS totalEdgeCount + :result:0 +2024-10-29 15:07:49,105 - lightrag - INFO - _find_node_degree:query: + MATCH (n:`THE CANDLE`) + RETURN COUNT{ (n)--() } AS totalEdgeCount + :result:1 +2024-10-29 15:07:49,276 - lightrag - INFO - _find_node_degree:query: + MATCH (n:`FROST`) + RETURN COUNT{ (n)--() } AS totalEdgeCount + :result:1 +2024-10-29 15:07:49,448 - lightrag - INFO - _find_node_degree:query: + MATCH (n:`THE TRANSPARENT WINDOW`) + RETURN COUNT{ (n)--() } AS totalEdgeCount + :result:0 +2024-10-29 15:07:49,624 - lightrag - INFO - _find_node_degree:query: + MATCH (n:`THE CANDLE-LIGHT`) + RETURN COUNT{ (n)--() } AS totalEdgeCount + :result:0 +2024-10-29 15:07:49,799 - lightrag - INFO - _find_node_degree:query: + MATCH (n:`POVERTY`) + RETURN COUNT{ (n)--() } AS totalEdgeCount + :result:1 +2024-10-29 15:07:49,973 - lightrag - INFO - _find_node_degree:query: + MATCH (n:`SUNDAY CLOTHES BOY`) + RETURN COUNT{ (n)--() } AS totalEdgeCount + :result:1 +2024-10-29 15:07:50,143 - lightrag - INFO - _find_node_degree:query: + MATCH (n:`THE SOLITARY CHILD`) + RETURN COUNT{ (n)--() } AS totalEdgeCount + :result:0 +2024-10-29 15:07:50,316 - lightrag - INFO - _find_node_degree:query: + MATCH (n:`CITY`) + RETURN COUNT{ (n)--() } AS totalEdgeCount + :result:1 +2024-10-29 15:07:50,493 - lightrag - INFO - _find_node_degree:query: + MATCH (n:`FEARFUL PLACE`) + RETURN COUNT{ (n)--() } AS totalEdgeCount + :result:0 +2024-10-29 15:07:50,662 - lightrag - INFO - _find_node_degree:query: + MATCH (n:`IRON CABLE`) + RETURN COUNT{ (n)--() } AS totalEdgeCount + :result:0 +2024-10-29 15:07:50,834 - lightrag - INFO - _find_node_degree:query: + MATCH (n:`SPIRIT`) + RETURN COUNT{ (n)--() } AS totalEdgeCount + :result:9 +2024-10-29 15:07:51,004 - lightrag - INFO - _find_node_degree:query: + MATCH (n:`THE SETTING SUN`) + RETURN COUNT{ (n)--() } AS totalEdgeCount + :result:1 +2024-10-29 15:07:51,174 - lightrag - INFO - _find_node_degree:query: + MATCH (n:`KEYS`) + RETURN COUNT{ (n)--() } AS totalEdgeCount + :result:0 +2024-10-29 15:07:51,343 - lightrag - INFO - _find_node_degree:query: + MATCH (n:`THE CLOTHES AND ITEMS`) + RETURN COUNT{ (n)--() } AS totalEdgeCount + :result:0 +2024-10-29 15:07:51,521 - lightrag - INFO - _find_node_degree:query: + MATCH (n:`AVARICE`) + RETURN COUNT{ (n)--() } AS totalEdgeCount + :result:0 +2024-10-29 15:07:51,697 - lightrag - INFO - _find_node_degree:query: + MATCH (n:`THE FIREPLACE`) + RETURN COUNT{ (n)--() } AS totalEdgeCount + :result:0 +2024-10-29 15:07:51,873 - lightrag - INFO - _find_node_degree:query: + MATCH (n:`WANT`) + RETURN COUNT{ (n)--() } AS totalEdgeCount + :result:1 +2024-10-29 15:07:52,051 - lightrag - INFO - _find_node_degree:query: + MATCH (n:`THE DAUGHTER`) + RETURN COUNT{ (n)--() } AS totalEdgeCount + :result:1 +2024-10-29 15:07:52,218 - lightrag - INFO - _find_node_degree:query: + MATCH (n:`CHRISTMAS-TIME`) + RETURN COUNT{ (n)--() } AS totalEdgeCount + :result:2 +2024-10-29 15:07:52,392 - lightrag - INFO - _find_node_degree:query: + MATCH (n:`THE BED`) + RETURN COUNT{ (n)--() } AS totalEdgeCount + :result:1 +2024-10-29 15:07:52,562 - lightrag - INFO - _find_node_degree:query: + MATCH (n:`SHADOW OF HIMSELF`) + RETURN COUNT{ (n)--() } AS totalEdgeCount + :result:1 +2024-10-29 15:07:52,737 - lightrag - INFO - _find_node_degree:query: + MATCH (n:`KIND WORD`) + RETURN COUNT{ (n)--() } AS totalEdgeCount + :result:0 +2024-10-29 15:07:52,909 - lightrag - INFO - _find_node_degree:query: + MATCH (n:`GAOL`) + RETURN COUNT{ (n)--() } AS totalEdgeCount + :result:1 +2024-10-29 15:07:53,083 - lightrag - INFO - _find_node_degree:query: + MATCH (n:`IGNORANCE`) + RETURN COUNT{ (n)--() } AS totalEdgeCount + :result:3 +2024-10-29 15:07:53,257 - lightrag - INFO - _find_node_degree:query: + MATCH (n:`CHILDREN`) + RETURN COUNT{ (n)--() } AS totalEdgeCount + :result:2 +2024-10-29 15:07:53,428 - lightrag - INFO - _find_node_degree:query: + MATCH (n:`THE ROOM BY DAYLIGHT`) + RETURN COUNT{ (n)--() } AS totalEdgeCount + :result:0 +2024-10-29 15:07:53,604 - lightrag - INFO - _find_node_degree:query: + MATCH (n:`THE BOTTLE`) + RETURN COUNT{ (n)--() } AS totalEdgeCount + :result:0 +2024-10-29 15:07:53,780 - lightrag - INFO - _find_node_degree:query: + MATCH (n:`THE FLANNEL BAG`) + RETURN COUNT{ (n)--() } AS totalEdgeCount + :result:0 +2024-10-29 15:07:53,957 - lightrag - INFO - _find_node_degree:query: + MATCH (n:`THE YOUNG GIRL`) + RETURN COUNT{ (n)--() } AS totalEdgeCount + :result:1 +2024-10-29 15:07:54,127 - lightrag - INFO - _find_node_degree:query: + MATCH (n:`A CHRISTMAS CAROL`) + RETURN COUNT{ (n)--() } AS totalEdgeCount + :result:3 +2024-10-29 15:07:54,298 - lightrag - INFO - _find_node_degree:query: + MATCH (n:`THE CITY`) + RETURN COUNT{ (n)--() } AS totalEdgeCount + :result:3 +2024-10-29 15:07:54,470 - lightrag - INFO - _find_node_degree:query: + MATCH (n:`GHOST`) + RETURN COUNT{ (n)--() } AS totalEdgeCount + :result:3 +2024-10-29 15:07:54,647 - lightrag - INFO - _find_node_degree:query: + MATCH (n:`MERCILESS CREDITOR`) + RETURN COUNT{ (n)--() } AS totalEdgeCount + :result:0 +2024-10-29 15:07:54,819 - lightrag - INFO - _find_node_degree:query: + MATCH (n:`THE SPIRITS`) + RETURN COUNT{ (n)--() } AS totalEdgeCount + :result:1 +2024-10-29 15:07:54,986 - lightrag - INFO - _find_node_degree:query: + MATCH (n:`THE MOTHER`) + RETURN COUNT{ (n)--() } AS totalEdgeCount + :result:2 +2024-10-29 15:07:55,156 - lightrag - INFO - _find_node_degree:query: + MATCH (n:`LIGHT`) + RETURN COUNT{ (n)--() } AS totalEdgeCount + :result:1 +2024-10-29 15:07:55,335 - lightrag - INFO - _find_node_degree:query: + MATCH (n:`TWO YOUNG CRATCHITS`) + RETURN COUNT{ (n)--() } AS totalEdgeCount + :result:0 +2024-10-29 15:07:55,510 - lightrag - INFO - _find_node_degree:query: + MATCH (n:`JOE`) + RETURN COUNT{ (n)--() } AS totalEdgeCount + :result:2 +2024-10-29 15:08:16,458 - lightrag - INFO - Local query uses 60 entites, 0 relations, 3 text units +2024-10-29 15:08:26,331 - lightrag - INFO - Creating a new event loop in a sub-thread. +2024-10-29 15:08:28,985 - lightrag - INFO - get_edge:query: + MATCH (source:`DARKNESS`)-[r]-(target:`SCROOGE`) + RETURN r + :result:, ) type='DIRECTED' properties={'keywords': '"themes, isolation"', 'description': '"Darkness symbolizes Scrooge\'s internal feelings of isolation and regret, presenting the overall mood of his journey towards potential redemption."', 'weight': 9.0, 'source_id': 'chunk-9c43dac2fcd5b578242d907ea6f8fc7b'}> +2024-10-29 15:08:29,085 - lightrag - INFO - get_edge:query: + MATCH (source:`CHRISTMAS`)-[r]-(target:`SCROOGE`) + RETURN r + :result:, ) type='DIRECTED' properties={'keywords': '"character development, festive spirit""conflict, holiday spirit""contrast, seasonal significance""disconnection, festive spirit""holiday significance, reflection""reflection, redemption""seasonal significance, emotional reflection""transformation, festive spirit""transformation, holiday significance""transformation, holiday spirit"', 'description': '"Christmas is a central theme that invokes Scrooge\'s memories of his past, his feelings of loneliness, and his desire to connect.""Christmas serves as a focal point for Scrooge\'s emotional reflections on joy and his disconnect from societal celebrations.""Christmas serves as the catalyst for Scrooge\'s transformation, highlighting themes of giving and compassion.""Scrooge expresses disdain for Christmas, viewing it as a burden rather than a celebration.""Scrooge\'s attitude towards Christmas highlights his disconnection from the festive spirit and charity associated with the holiday.""Scrooge\'s character contrasts sharply with the joy of Christmas, highlighting his disdain for the festive season.""Scrooge\'s experience during the Christmas event highlights the transformation of his character and the spirit of the holiday.""Scrooge\'s journey with the Spirit ultimately leads him to reflect on the meaning of Christmas and its impact on human connections.""Scrooge\'s transformation and newfound joy are directly linked to the spirit of Christmas.""Scrooge\'s transformation is centered around the spirit of Christmas, which he learns to embrace and celebrate.""Scrooge\'s views on Christmas evolve as he witnesses the joy and familial love associated with the holiday, marking a shift in his character."', 'weight': 95.0, 'source_id': 'chunk-91614df5cb74cbe5e109a338a82041e9chunk-8f738cb25d60a7dab782162d9d0a25edchunk-e7637ff18c5ded77a68cce0a87883fadchunk-8590d9263cd2cd4fa583c432fc54e6c3chunk-54bdd22db1f84a965b5f4c06c9216d8dchunk-90d5764e301321c087f5a8f78b73a145chunk-da2472b4ef2a535b62908f14d0fb0ca9chunk-94bea83e7153fc2064aa382b494936a1chunk-89777b838d5447c7bd1ec11282c4ee89chunk-99b0ec7f7e006561352b5d65e849611dchunk-74e2466de2f67fd710ef2f20c0a8d9e0'}> +2024-10-29 15:08:29,181 - lightrag - INFO - get_edge:query: + MATCH (source:`ROBIN CRUSOE`)-[r]-(target:`SCROOGE`) + RETURN r + :result:, ) type='DIRECTED' properties={'keywords': '"literary influence, nostalgia"', 'description': '"Scrooge\'s reference to Robin Crusoe during his reflections shows how literary characters shaped his childhood thoughts and feelings."', 'weight': 7.0, 'source_id': 'chunk-8590d9263cd2cd4fa583c432fc54e6c3'}> +2024-10-29 15:08:29,275 - lightrag - INFO - get_edge:query: + MATCH (source:`FOG`)-[r]-(target:`THE CITY`) + RETURN r + :result:, ) type='DIRECTED' properties={'keywords': '"atmosphere, symbolism"', 'description': '"The fog in The City creates a dreary atmosphere, signifying confusion and obscured visibility, paralleling Scrooge\'s cold perspective on life."', 'weight': 6.0, 'source_id': 'chunk-74e2466de2f67fd710ef2f20c0a8d9e0'}> +2024-10-29 15:08:29,370 - lightrag - INFO - get_edge:query: + MATCH (source:`THE FROZEN MOOR`)-[r]-(target:`THE LIGHTHOUSE`) + RETURN r + :result:, ) type='DIRECTED' properties={'keywords': '"symbolism, contrast"', 'description': '"The Lighthouse stands solitary and contrasting against the harshness of the Frozen Moor, symbolizing hope amidst desolation."', 'weight': 8.0, 'source_id': 'chunk-91614df5cb74cbe5e109a338a82041e9'}> +2024-10-29 15:08:29,476 - lightrag - INFO - get_edge:query: + MATCH (source:`SCROOGE`)-[r]-(target:`WEALTH`) + RETURN r + :result:, ) type='DIRECTED' properties={'keywords': '"materialism, character development"', 'description': '"Scrooge confronts the obsession with wealth which has led him away from meaningful connections and happiness."', 'weight': 8.0, 'source_id': 'chunk-b2f98bc7abb0c67d4c86055c7fd72218'}> +2024-10-29 15:08:29,574 - lightrag - INFO - get_edge:query: + MATCH (source:`RUSTY KEYS, NAILS, CHAINS, HINGES`)-[r]-(target:`THE LOW-BROWED SHOP`) + RETURN r + :result:, ) type='DIRECTED' properties={'keywords': '"symbolism, societal neglect"', 'description': '"The Rusty Keys, Nails, Chains, and Hinges within the Low-Browed Shop highlight the decay and abandonment of valued items, metaphorically reflecting societal neglect."', 'weight': 7.0, 'source_id': 'chunk-f1a4fbcf1ed86864b9bfd5e8dba4c683'}> +2024-10-29 15:08:29,671 - lightrag - INFO - get_edge:query: + MATCH (source:`SCROOGE`)-[r]-(target:`STREET`) + RETURN r + :result:, ) type='DIRECTED' properties={'keywords': '"observation, societal critique"', 'description': '"Scrooge observes the Street\'s inhabitants and their interactions, reflecting on his own status and societal detachment."', 'weight': 7.0, 'source_id': 'chunk-f1a4fbcf1ed86864b9bfd5e8dba4c683'}> +2024-10-29 15:08:29,774 - lightrag - INFO - get_edge:query: + MATCH (source:`GHOST OF CHRISTMAS YET TO COME`)-[r]-(target:`SPIRIT`) + RETURN r + :result:, ) type='DIRECTED' properties={'keywords': '"foreshadowing, guidance"', 'description': '"The Spirit is connected to the Ghost of Christmas Yet to Come as both serve to illustrate potential future outcomes for Scrooge."', 'weight': 7.0, 'source_id': 'chunk-02baee20cc9463dbe08170a8e1043e32'}> +2024-10-29 15:08:29,875 - lightrag - INFO - get_edge:query: + MATCH (source:`MULTITUDES`)-[r]-(target:`SCROOGE`) + RETURN r + :result:, ) type='DIRECTED' properties={'keywords': '"alienation, introspection"', 'description': '"Scrooge\'s feelings of alienation are heightened as he witnesses the Multitudes, illustrating his inner turmoil and societal disconnect."', 'weight': 8.0, 'source_id': 'chunk-f1a4fbcf1ed86864b9bfd5e8dba4c683'}> +2024-10-29 15:08:29,974 - lightrag - INFO - get_edge:query: + MATCH (source:`THE BEDROOM`)-[r]-(target:`THE SPIRIT`) + RETURN r + :result:, ) type='DIRECTED' properties={'keywords': '"introspection, transformation"', 'description': '"The Spirit visits Scrooge in his bedroom, representing a profound moment of transformation and introspection for Scrooge."', 'weight': 8.0, 'source_id': 'chunk-da2472b4ef2a535b62908f14d0fb0ca9'}> +2024-10-29 15:08:30,072 - lightrag - INFO - get_edge:query: + MATCH (source:`JACOB MARLEY`)-[r]-(target:`SCROOGE`) + RETURN r + :result:, ) type='DIRECTED' properties={'keywords': '"catalyst for change, supernatural guidance""past influence, warning""redemption, moral lesson""supernatural encounter, past ties""transformation, influence""warning, transformation"', 'description': '"Jacob Marley is the spirit who brings forth the need for Scrooge to change his ways, impacting his character development.""Scrooge confronts Jacob Marley, his former business partner, who returns as a ghost to influence Scrooge\'s perspective on life and his actions.""Scrooge converses with the ghost of Jacob Marley, who tries to guide him toward understanding the importance of compassion and the consequences of his actions.""Scrooge interacts with Jacob Marley, who serves as a critical warning for Scrooge to change his ways before it\'s too late.""Scrooge reflects on Jacob Marley’s past warnings, which serve as a catalyst for his transformation.""Scrooge\'s transformation is prompted by the appearance and message of Jacob Marley, his former business partner."', 'weight': 54.0, 'source_id': 'chunk-90b95db5c53e4364a6bee36b7aa4d70fchunk-1aa50206d02ed89418f65f97c6441d1cchunk-02baee20cc9463dbe08170a8e1043e32chunk-91572b3cd42786ba4cb2f180ca25cbf4chunk-da2472b4ef2a535b62908f14d0fb0ca9chunk-359187e7571bda4b0b08b2e0b6581e52'}> +2024-10-29 15:08:30,168 - lightrag - INFO - get_edge:query: + MATCH (source:`FOG`)-[r]-(target:`SCROOGE`) + RETURN r + :result:, ) type='DIRECTED' properties={'keywords': '"atmosphere, emotional reflection"', 'description': '"Fog represents the obscured vision of Scrooge\'s soul and emotions, aligning with his unknowable nature."', 'weight': 8.0, 'source_id': 'chunk-d9aac3484185ac66045df92214d245d5'}> +2024-10-29 15:08:30,266 - lightrag - INFO - get_edge:query: + MATCH (source:`SCROOGE`)-[r]-(target:`THE GHOST`) + RETURN r + :result:, ) type='DIRECTED' properties={'keywords': '"guidance, transformation""memory, influence""reflection, guidance""self-reflection, transformation"', 'description': '"Scrooge\'s engagement with The Ghost prompts a significant emotional and psychological transformation as he confronts his past.""The Ghost guides Scrooge through visions of his past, forcing him to confront his choices and their consequences.""The Ghost influences Scrooge\'s reflections on his past and his current emotions regarding Christmas festivities.""The Ghost serves as a catalyst for Scrooge\'s reflections, guiding him to confront his past and feelings about Christmas."', 'weight': 35.0, 'source_id': 'chunk-da2472b4ef2a535b62908f14d0fb0ca9chunk-43c9bee23adfa77aa9dedd22401bba7dchunk-54bdd22db1f84a965b5f4c06c9216d8dchunk-8590d9263cd2cd4fa583c432fc54e6c3'}> +2024-10-29 15:08:30,366 - lightrag - INFO - get_edge:query: + MATCH (source:`MARLEY`)-[r]-(target:`SCROOGE`) + RETURN r + :result:, ) type='DIRECTED' properties={'keywords': '"mourning, partnership""past influence, personal history""redemption, confrontation""supernatural connection, past relationships"', 'description': '"Marley’s influence and past relationship with Scrooge is indicated, suggesting a connection that impacts Scrooge\'s character growth.""Scrooge is deeply affected by Marley\'s death, illustrated through his role as the sole executor and mourner of Marley.""Scrooge reflects on Marley, revealing his past connection and the haunting aspect of Marley\'s death, which influences Scrooge\'s character arc.""Scrooge\'s encounter with Marley’s Ghost serves as a confrontation with his past self and the life choices he regrets, depicting the theme of redemption."', 'weight': 32.0, 'source_id': 'chunk-d9aac3484185ac66045df92214d245d5chunk-843b5b2f944c7413d9ca876e2e2f151fchunk-89777b838d5447c7bd1ec11282c4ee89chunk-9c43dac2fcd5b578242d907ea6f8fc7b'}> +2024-10-29 15:08:30,469 - lightrag - INFO - get_edge:query: + MATCH (source:`FROST`)-[r]-(target:`SCROOGE`) + RETURN r + :result:, ) type='DIRECTED' properties={'keywords': '"atmospheric condition, characterization"', 'description': '"Frost enhances the chilling atmosphere around Scrooge\'s life and mindset, reflecting his cold character."', 'weight': 8.0, 'source_id': 'chunk-d9aac3484185ac66045df92214d245d5'}> +2024-10-29 15:08:30,568 - lightrag - INFO - get_edge:query: + MATCH (source:`SCROOGE`)-[r]-(target:`THE PAST`) + RETURN r + :result:, ) type='DIRECTED' properties={'keywords': '"self-reflection, choices"', 'description': '"Scrooge must acknowledge The Past to understand his current situation and guide his choices for the future."', 'weight': 9.0, 'source_id': 'chunk-91572b3cd42786ba4cb2f180ca25cbf4'}> +2024-10-29 15:08:30,672 - lightrag - INFO - get_edge:query: + MATCH (source:`MARLEY'S GHOST`)-[r]-(target:`THE CANDLE`) + RETURN r + :result:, ) type='DIRECTED' properties={'keywords': '"hope, contrast"', 'description': '"The Candle\'s light contrasts with the darkness of the haunting, representing the flicker of hope amidst Scrooge\'s despair."', 'weight': 7.0, 'source_id': 'chunk-9c43dac2fcd5b578242d907ea6f8fc7b'}> +2024-10-29 15:08:30,770 - lightrag - INFO - get_edge:query: + MATCH (source:`CITY`)-[r]-(target:`SCROOGE`) + RETURN r + :result:, ) type='DIRECTED' properties={'keywords': '"indifference, societal critique""societal impact, personal change"', 'description': '"Scrooge experiences the indifference of the City towards his death, illustrating societal apathy.""Scrooge\'s transformation is set against the backdrop of the City, reflecting the societal implications of his personal changes."', 'weight': 15.0, 'source_id': 'chunk-843b5b2f944c7413d9ca876e2e2f151fchunk-02baee20cc9463dbe08170a8e1043e32'}> +2024-10-29 15:08:30,866 - lightrag - INFO - get_edge:query: + MATCH (source:`DREAM`)-[r]-(target:`EBENEZER SCROOGE`) + RETURN r + :result:, ) type='DIRECTED' properties={'keywords': '"reality vs. illusion, introspection"', 'description': '"Scrooge contemplates whether his experiences are merely a Dream, showcasing his inner conflict with reality and imagination."', 'weight': 6.0, 'source_id': 'chunk-c7b10789a9cb0af6c553730b29bd9034'}> +2024-10-29 15:08:30,965 - lightrag - INFO - get_edge:query: + MATCH (source:`LONDON`)-[r]-(target:`SCROOGE`) + RETURN r + :result:, ) type='DIRECTED' properties={'keywords': '"setting, seasonal context""setting, transformation"', 'description': '"London as the setting contextualizes Scrooge\'s experiences and transformations regarding Christmas celebrations.""Scrooge\'s experiences reflect the larger context of life in London during the festive season, emphasizing the mood of the city at that time."', 'weight': 12.0, 'source_id': 'chunk-d9aac3484185ac66045df92214d245d5chunk-43c9bee23adfa77aa9dedd22401bba7d'}> +2024-10-29 15:08:31,063 - lightrag - INFO - get_edge:query: + MATCH (source:`CHILDREN`)-[r]-(target:`SPIRIT`) + RETURN r + :result:, ) type='DIRECTED' properties={'keywords': '"social issues, innocence"', 'description': '"The Spirit introduces Scrooge to the Children as representations of societal neglect, urging recognition and action."', 'weight': 9.0, 'source_id': 'chunk-e7637ff18c5ded77a68cce0a87883fad'}> +2024-10-29 15:08:31,161 - lightrag - INFO - get_edge:query: + MATCH (source:`CHRISTMAS`)-[r]-(target:`THE GHOST`) + RETURN r + :result:, ) type='DIRECTED' properties={'keywords': '"spiritual guide, thematic connection"', 'description': '"The Ghosts represent the essence of Christmas, highlighting the themes of generosity and change during this festive time."', 'weight': 8.0, 'source_id': 'chunk-02baee20cc9463dbe08170a8e1043e32'}> +2024-10-29 15:08:31,257 - lightrag - INFO - get_edge:query: + MATCH (source:`SCROOGE`)-[r]-(target:`THE GHOST OF CHRISTMAS PAST`) + RETURN r + :result:, ) type='DIRECTED' properties={'keywords': '"introspection, memory"', 'description': '"The Ghost of Christmas Past guides Scrooge through recollections, prompting his introspection about his former self and choices."', 'weight': 10.0, 'source_id': 'chunk-b2f98bc7abb0c67d4c86055c7fd72218'}> +2024-10-29 15:08:31,350 - lightrag - INFO - get_edge:query: + MATCH (source:`SCROOGE`)-[r]-(target:`SPIRIT`) + RETURN r + :result:, ) type='DIRECTED' properties={'keywords': '"guidance, emotional journey""guidance, transformation""personal growth, spiritual journey""reflection, guidance"', 'description': '"Scrooge engages with the Spirit, who guides him through reflections on his life and warns him of societal issues.""Scrooge learns from the Spirit about the consequences of his actions and the sentiments evoked by death, leading to personal growth.""Scrooge’s interaction with the Spirit emphasizes the emotional weight of his past decisions and feelings as they relate to his transformation.""The Spirit directly influences Scrooge’s transformation and highlights the importance of compassion in human life."', 'weight': 34.0, 'source_id': 'chunk-02baee20cc9463dbe08170a8e1043e32chunk-bb21d58d36c6306fd8810ddd51c4a971chunk-83ac129dc9b56f84c46760d153d68e93chunk-e7637ff18c5ded77a68cce0a87883fad'}> +2024-10-29 15:08:31,447 - lightrag - INFO - get_edge:query: + MATCH (source:`GHOST`)-[r]-(target:`HUMANITY`) + RETURN r + :result:, ) type='DIRECTED' properties={'keywords': '"social consciousness, humanitarian appeal"', 'description': '"The Ghost symbolizes humanity\'s need for introspection and change, urging Scrooge to recognize and act upon social issues."', 'weight': 9.0, 'source_id': 'chunk-e7637ff18c5ded77a68cce0a87883fad'}> +2024-10-29 15:08:31,551 - lightrag - INFO - get_edge:query: + MATCH (source:`SCROOGE`)-[r]-(target:`THE DRESSING-GOWN`) + RETURN r + :result:, ) type='DIRECTED' properties={'keywords': '"characterization, solitude"', 'description': '"The Dressing-Gown emphasizes Scrooge\'s character as a solitary, reclusive man, reinforcing his isolation during the haunting."', 'weight': 7.0, 'source_id': 'chunk-9c43dac2fcd5b578242d907ea6f8fc7b'}> +2024-10-29 15:08:31,653 - lightrag - INFO - get_edge:query: + MATCH (source:`SCHOOL`)-[r]-(target:`SPIRIT`) + RETURN r + :result:, ) type='DIRECTED' properties={'keywords': '"reflection, nostalgia"', 'description': '"The Spirit leads Scrooge to the School, invoking memories of solitary times that deeply impact his emotional state."', 'weight': 6.0, 'source_id': 'chunk-bb21d58d36c6306fd8810ddd51c4a971'}> +2024-10-29 15:08:31,753 - lightrag - INFO - get_edge:query: + MATCH (source:`SCROOGE`)-[r]-(target:`THE SPIRIT`) + RETURN r + :result:, ) type='DIRECTED' properties={'keywords': '"guidance, transformation""moral guidance, transformation""self-reflection, transformation""supernatural guidance, self-reflection""supernatural intervention, guidance"', 'description': '"Scrooge engages with the Spirit as it reveals memories that prompt significant self-reflection and consideration of change.""Scrooge is guided by the Spirit, who shows him different scenes related to the joy and struggles of Christmas, aiming to change his heart.""The Spirit challenges Scrooge\'s perspective on life, urging him to consider the implications of his actions in light of death.""The Spirit represents an upcoming change in Scrooge\'s life, aiming to guide him towards redemption.""The Spirit represents moral lessons and urges Scrooge to change his ways for a better future."', 'weight': 47.0, 'source_id': 'chunk-b2f98bc7abb0c67d4c86055c7fd72218chunk-e1f29eeadc1d8ab46dc8a0bbd3c56b64chunk-91572b3cd42786ba4cb2f180ca25cbf4chunk-da2472b4ef2a535b62908f14d0fb0ca9chunk-91614df5cb74cbe5e109a338a82041e9'}> +2024-10-29 15:08:31,857 - lightrag - INFO - get_edge:query: + MATCH (source:`MARLEY`)-[r]-(target:`THE KNOCKER`) + RETURN r + :result:, ) type='DIRECTED' properties={'keywords': '"supernatural symbolism, foreshadowing"', 'description': '"Marley is connected to the Knocker as the ghostly presence that Scrooge anticipates as he approaches his door, setting up the eerie tone of the haunting."', 'weight': 7.0, 'source_id': 'chunk-9c43dac2fcd5b578242d907ea6f8fc7b'}> +2024-10-29 15:08:31,960 - lightrag - INFO - get_edge:query: + MATCH (source:`SCROOGE`)-[r]-(target:`THE GRATE`) + RETURN r + :result:, ) type='DIRECTED' properties={'keywords': '"isolation, setting mood"', 'description': '"The Grate\'s cold fire adds to the bleak setting of Scrooge\'s home, illustrating his disconnection from warmth and comfort before the supernatural events unfold."', 'weight': 6.0, 'source_id': 'chunk-9c43dac2fcd5b578242d907ea6f8fc7b'}> +2024-10-29 15:08:32,062 - lightrag - INFO - get_edge:query: + MATCH (source:`CRATCHIT FAMILY`)-[r]-(target:`SCROOGE`) + RETURN r + :result:, ) type='DIRECTED' properties={'keywords': '"compassion, social awareness"', 'description': '"Scrooge\'s reflections on the Cratchit family\'s situation symbolize his evolving understanding of compassion and social responsibility."', 'weight': 7.0, 'source_id': 'chunk-83ac129dc9b56f84c46760d153d68e93'}> +2024-10-29 15:08:32,156 - lightrag - INFO - get_edge:query: + MATCH (source:`SCROOGE`)-[r]-(target:`THE OBSCURE PART OF TOWN`) + RETURN r + :result:, ) type='DIRECTED' properties={'keywords': '"confrontation, societal reflection"', 'description': '"Scrooge\'s journey leads him to the Obscure Part of Town, representing his confrontation with the darker aspects of life and society."', 'weight': 9.0, 'source_id': 'chunk-f1a4fbcf1ed86864b9bfd5e8dba4c683'}> +2024-10-29 15:08:32,250 - lightrag - INFO - get_edge:query: + MATCH (source:`ALMSHOUSE`)-[r]-(target:`SPIRIT`) + RETURN r + :result:, ) type='DIRECTED' properties={'keywords': '"social critique, awareness"', 'description': '"The Spirit shows Scrooge the Almshouse to illustrate the plight of the poor and the societal neglect present during the holiday season."', 'weight': 9.0, 'source_id': 'chunk-e7637ff18c5ded77a68cce0a87883fad'}> +2024-10-29 15:08:32,346 - lightrag - INFO - get_edge:query: + MATCH (source:`SCROOGE`)-[r]-(target:`THE MAIN STREET`) + RETURN r + :result:, ) type='DIRECTED' properties={'keywords': '"social dynamics, personal struggle"', 'description': '"Scrooge\'s experiences on The Main Street during Christmas time reflect his discontent with the surrounding joy and celebrations."', 'weight': 6.0, 'source_id': 'chunk-90d5764e301321c087f5a8f78b73a145'}> +2024-10-29 15:08:32,445 - lightrag - INFO - get_edge:query: + MATCH (source:`SCROOGE`)-[r]-(target:`THE THREE SPIRITS`) + RETURN r + :result:, ) type='DIRECTED' properties={'keywords': '"redemption, transformation"', 'description': '"Scrooge is directly involved in the narrative concerning the Three Spirits who are meant to guide him toward redemption."', 'weight': 9.0, 'source_id': 'chunk-cb661c37436355ccec2769b1d0350c5f'}> +2024-10-29 15:08:32,543 - lightrag - INFO - get_edge:query: + MATCH (source:`MANKIND`)-[r]-(target:`SCROOGE`) + RETURN r + :result:, ) type='DIRECTED' properties={'keywords': '"moral responsibility, social awareness"', 'description': '"Scrooge\'s actions and neglect of mankind are highlighted in Marley\'s admonitions, emphasizing the need for connection and care for others."', 'weight': 7.0, 'source_id': 'chunk-359187e7571bda4b0b08b2e0b6581e52'}> +2024-10-29 15:08:32,659 - lightrag - INFO - get_edge:query: + MATCH (source:`SCROOGE`)-[r]-(target:`SHADOW OF HIMSELF`) + RETURN r + :result:, ) type='DIRECTED' properties={'keywords': '"introspection, personal growth"', 'description': '"Scrooge hopes to learn from the Shadow of Himself, signifying his desire for personal growth and understanding of his life choices."', 'weight': 9.0, 'source_id': 'chunk-f1a4fbcf1ed86864b9bfd5e8dba4c683'}> +2024-10-29 15:08:32,781 - lightrag - INFO - get_edge:query: + MATCH (source:`THE FROZEN MOOR`)-[r]-(target:`THE SETTING SUN`) + RETURN r + :result:, ) type='DIRECTED' properties={'keywords': '"nature, contrast"', 'description': '"The Setting Sun casts a dramatic light on the Frozen Moor, highlighting the stark beauty and desolation of the landscape."', 'weight': 6.0, 'source_id': 'chunk-91614df5cb74cbe5e109a338a82041e9'}> +2024-10-29 15:08:32,875 - lightrag - INFO - get_edge:query: + MATCH (source:`SCROOGE`)-[r]-(target:`WANT`) + RETURN r + :result:, ) type='DIRECTED' properties={'keywords': '"social critique, consequences"', 'description': '"Scrooge is shown the consequences of Want, reflecting on the impacts of desire and neglect in society."', 'weight': 9.0, 'source_id': 'chunk-02baee20cc9463dbe08170a8e1043e32'}> +2024-10-29 15:08:32,969 - lightrag - INFO - get_edge:query: + MATCH (source:`SCROOGE`)-[r]-(target:`THE BED`) + RETURN r + :result:, ) type='DIRECTED' properties={'keywords': '"contemplation, mortality"', 'description': '"Scrooge observes The Bed where The Deceased lies, prompting profound thoughts on mortality and regret."', 'weight': 9.0, 'source_id': 'chunk-e1f29eeadc1d8ab46dc8a0bbd3c56b64'}> +2024-10-29 15:08:33,064 - lightrag - INFO - get_edge:query: + MATCH (source:`JACOB MARLEY`)-[r]-(target:`THE FUTURE`) + RETURN r + :result:, ) type='DIRECTED' properties={'keywords': '"foreshadowing, caution"', 'description': '"Jacob Marley\'s warning about the consequences of ignorance reflects on the potential dark Future that awaits Scrooge."', 'weight': 9.0, 'source_id': 'chunk-02baee20cc9463dbe08170a8e1043e32'}> +2024-10-29 15:08:33,163 - lightrag - INFO - get_edge:query: + MATCH (source:`THE LOW-BROWED SHOP`)-[r]-(target:`THE OBSCURE PART OF TOWN`) + RETURN r + :result:, ) type='DIRECTED' properties={'keywords': '"symbolism, decay"', 'description': '"The Low-Browed Shop is located in The Obscure Part of Town, symbolizing the decay and neglect found in that area."', 'weight': 6.0, 'source_id': 'chunk-f1a4fbcf1ed86864b9bfd5e8dba4c683'}> +2024-10-29 15:08:33,260 - lightrag - INFO - get_edge:query: + MATCH (source:`DEATH`)-[r]-(target:`SCROOGE`) + RETURN r + :result:, ) type='DIRECTED' properties={'keywords': '"existential crisis, contemplation"', 'description': '"Scrooge grapples with the idea of Death as he witnesses the aftermath of The Deceased\'s life, leading to an inner turmoil."', 'weight': 9.0, 'source_id': 'chunk-e1f29eeadc1d8ab46dc8a0bbd3c56b64'}> +2024-10-29 15:08:33,358 - lightrag - INFO - get_edge:query: + MATCH (source:`CHRISTMAS`)-[r]-(target:`THE LAMPLIGHTER`) + RETURN r + :result:, ) type='DIRECTED' properties={'keywords': '"symbolism, holiday spirit"', 'description': '"The Lamplighter\'s actions of spreading light symbolize the joy and warmth associated with Christmas."', 'weight': 7.0, 'source_id': 'chunk-91614df5cb74cbe5e109a338a82041e9'}> +2024-10-29 15:08:33,452 - lightrag - INFO - get_edge:query: + MATCH (source:`SCROOGE`)-[r]-(target:`THE YOUNG GIRL`) + RETURN r + :result:, ) type='DIRECTED' properties={'keywords': '"reflection, lost love"', 'description': '"Scrooge reflects on his past feelings for the Young Girl, recognizing the change in his own spirit and desires over time."', 'weight': 8.0, 'source_id': 'chunk-54bdd22db1f84a965b5f4c06c9216d8d'}> +2024-10-29 15:08:33,547 - lightrag - INFO - get_edge:query: + MATCH (source:`CRATCHIT FAMILY`)-[r]-(target:`DEATH`) + RETURN r + :result:, ) type='DIRECTED' properties={'keywords': '"grief, family dynamics"', 'description': '"The death event impacts the Cratchit family deeply, influencing their emotional state and perceptions of hope and kindness."', 'weight': 8.0, 'source_id': 'chunk-83ac129dc9b56f84c46760d153d68e93'}> +2024-10-29 15:08:33,644 - lightrag - INFO - get_edge:query: + MATCH (source:`GHOST`)-[r]-(target:`SCROOGE`) + RETURN r + :result:, ) type='DIRECTED' properties={'keywords': '"reflection, self-discovery""spiritual guidance, transformation"', 'description': '"The Ghost guides Scrooge through reflections of his past, influencing his journey toward redemption.""The Ghost takes Scrooge on a journey to teach him lessons about generosity and compassion towards others."', 'weight': 17.0, 'source_id': 'chunk-c6c248858d1b13ab7ee9ca13c1aeed6bchunk-e7637ff18c5ded77a68cce0a87883fad'}> +2024-10-29 15:08:33,742 - lightrag - INFO - get_edge:query: + MATCH (source:`SCROOGE`)-[r]-(target:`THE HOUSE`) + RETURN r + :result:, ) type='DIRECTED' properties={'keywords': '"haunting, setting influence"', 'description': '"Scrooge\'s experiences with Marley\'s Ghost occur within The House, which plays a crucial role in the haunting atmosphere."', 'weight': 8.0, 'source_id': 'chunk-9c43dac2fcd5b578242d907ea6f8fc7b'}> +2024-10-29 15:08:33,834 - lightrag - INFO - get_edge:query: + MATCH (source:`MARTHA`)-[r]-(target:`THE COUNTESS`) + RETURN r + :result:, ) type='DIRECTED' properties={'keywords': '"social contrast, aspirations"', 'description': '"Martha\'s encounter with The Countess reflects her aspirations and experiences outside her lower socio-economic status."', 'weight': 4.0, 'source_id': 'chunk-19d72c57ae3408758b18d2568e86dc6b'}> +2024-10-29 15:08:33,926 - lightrag - INFO - get_edge:query: + MATCH (source:`DEATH`)-[r]-(target:`THE FUTURE`) + RETURN r + :result:, ) type='DIRECTED' properties={'keywords': '"consequences of choices, reflection"', 'description': '"The concept of The Future is intricately linked to discussions about Death, pondering the consequences of life\'s choices."', 'weight': 7.0, 'source_id': 'chunk-02baee20cc9463dbe08170a8e1043e32'}> +2024-10-29 15:08:34,022 - lightrag - INFO - get_edge:query: + MATCH (source:`BOB CRATCHIT`)-[r]-(target:`TINY TIM`) + RETURN r + :result:, ) type='DIRECTED' properties={'keywords': '"family bond, care""family bond, love""family love, vulnerability""family, struggle""family, support""father-son bond, care"', 'description': '"Bob Cratchit deeply cares for Tiny Tim, demonstrating emotional support and love, especially in moments of distress.""Bob Cratchit expresses love and concern for his son Tiny Tim during the Christmas dinner, highlighting a strong familial bond.""Bob Cratchit is Tiny Tim\'s father, and the turkey Scrooge plans to send will impact Tiny Tim\'s well-being.""Bob Cratchit is Tiny Tim\'s father, and their relationship highlights the theme of family struggle and love, especially during Christmas.""Bob Cratchit shows deep care for Tiny Tim, helping him and expressing pride in his strength and character despite challenges.""Bob Cratchit\'s concern for Tiny Tim illustrates the deep familial love and the challenges facing the Cratchit family."', 'weight': 48.0, 'source_id': 'chunk-83ac129dc9b56f84c46760d153d68e93chunk-503f0bfa5453467c7c61d160a3540ecachunk-1d4b58de5429cd1261370c231c8673e8chunk-90b95db5c53e4364a6bee36b7aa4d70fchunk-94bea83e7153fc2064aa382b494936a1chunk-7e2e7ebcc19a53b399dc03aded4743e7'}> +2024-10-29 15:08:34,118 - lightrag - INFO - get_edge:query: + MATCH (source:`SCROOGE`)-[r]-(target:`THE CLOCK`) + RETURN r + :result:, ) type='DIRECTED' properties={'keywords': '"time distortion, confusion"', 'description': '"Scrooge\'s interaction with the faulty clock symbolizes his disconnection from time and reality, as he struggles to comprehend his experiences."', 'weight': 6.0, 'source_id': 'chunk-cb661c37436355ccec2769b1d0350c5f'}> +2024-10-29 15:08:34,211 - lightrag - INFO - get_edge:query: + MATCH (source:`SCROOGE`)-[r]-(target:`THE COUNTING-HOUSE`) + RETURN r + :result:, ) type='DIRECTED' properties={'keywords': '"work environment, character development""work environment, personality reflection"', 'description': '"Scrooge\'s work environment reflects his personality, being cold and uninviting, mirroring his discontent with life.""The Counting-House is where Scrooge works, illustrating the environment that shapes his bleak personality."', 'weight': 14.0, 'source_id': 'chunk-d9aac3484185ac66045df92214d245d5chunk-74e2466de2f67fd710ef2f20c0a8d9e0'}> +2024-10-29 15:08:34,305 - lightrag - INFO - get_edge:query: + MATCH (source:`GHOST`)-[r]-(target:`IGNORANCE`) + RETURN r + :result:, ) type='DIRECTED' properties={'keywords': '"societal issues, responsibility"', 'description': '"The Ghost presents Ignorance to Scrooge as a representation of societal neglect and a call for responsibility from humanity."', 'weight': 8.0, 'source_id': 'chunk-e7637ff18c5ded77a68cce0a87883fad'}> +2024-10-29 15:08:34,400 - lightrag - INFO - get_edge:query: + MATCH (source:`FRIDAY`)-[r]-(target:`SCROOGE`) + RETURN r + :result:, ) type='DIRECTED' properties={'keywords': '"storytelling, childhood memories"', 'description': '"Scrooge\'s mention of Friday signifies his recollection of childhood stories and influences during Christmas time."', 'weight': 5.0, 'source_id': 'chunk-8590d9263cd2cd4fa583c432fc54e6c3'}> +2024-10-29 15:08:34,495 - lightrag - INFO - get_edge:query: + MATCH (source:`SCROOGE`)-[r]-(target:`THE BLANKETS`) + RETURN r + :result:, ) type='DIRECTED' properties={'keywords': '"neglect, reflection"', 'description': '"Scrooge contemplates the significance of The Blankets, linking them to the neglected state of The Deceased in death."', 'weight': 8.0, 'source_id': 'chunk-e1f29eeadc1d8ab46dc8a0bbd3c56b64'}> +2024-10-29 15:08:34,596 - lightrag - INFO - get_edge:query: + MATCH (source:`SCROOGE`)-[r]-(target:`TINY TIM`) + RETURN r + :result:, ) type='DIRECTED' properties={'keywords': '"personal transformation, empathy""transformation, mentorship""transformation, redemption"', 'description': '"Scrooge becomes a father figure to Tiny Tim, showing a deep commitment to his well-being after realizing the importance of family and caring for others.""Scrooge reflects on Tiny Tim and expresses concern for his wellbeing, indicating a pivotal change in his character and attitudes towards the less fortunate.""Scrooge\'s transformation is influenced by his reflections on the impact of Tiny Tim\'s life and death."', 'weight': 26.0, 'source_id': 'chunk-94bea83e7153fc2064aa382b494936a1chunk-503f0bfa5453467c7c61d160a3540ecachunk-91572b3cd42786ba4cb2f180ca25cbf4'}> +2024-10-29 15:08:34,696 - lightrag - INFO - get_edge:query: + MATCH (source:`SCROOGE`)-[r]-(target:`THE GHOST OF JACOB MARLEY`) + RETURN r + :result:, ) type='DIRECTED' properties={'keywords': '"transformation, warning"', 'description': '"Scrooge\'s encounter with the Ghost of Jacob Marley initiates his journey of self-reflection and realization."', 'weight': 10.0, 'source_id': 'chunk-90b95db5c53e4364a6bee36b7aa4d70f'}> +2024-10-29 15:08:34,798 - lightrag - INFO - get_edge:query: + MATCH (source:`MRS. CRATCHIT`)-[r]-(target:`SCROOGE`) + RETURN r + :result:, ) type='DIRECTED' properties={'keywords': '"criticism, emotional conflict"', 'description': '"Mrs. Cratchit openly criticizes Scrooge during the Christmas dinner, expressing her feelings towards him and emphasizing the family\'s resentment."', 'weight': 8.0, 'source_id': 'chunk-19d72c57ae3408758b18d2568e86dc6b'}> +2024-10-29 15:11:13,443 - lightrag - INFO - Logger initialized for working directory: ./neo4jWorkDir +2024-10-29 15:11:13,443 - lightrag - DEBUG - LightRAG init with param: + working_dir = ./neo4jWorkDir, + chunk_token_size = 1200, + chunk_overlap_token_size = 100, + tiktoken_model_name = gpt-4o-mini, + entity_extract_max_gleaning = 1, + entity_summary_to_max_tokens = 500, + node_embedding_algorithm = node2vec, + node2vec_params = {'dimensions': 1536, 'num_walks': 10, 'walk_length': 40, 'window_size': 2, 'iterations': 3, 'random_seed': 3}, + embedding_func = {'embedding_dim': 1536, 'max_token_size': 8192, 'func': }, + embedding_batch_num = 32, + embedding_func_max_async = 16, + llm_model_func = , + llm_model_name = meta-llama/Llama-3.2-1B-Instruct, + llm_model_max_token_size = 32768, + llm_model_max_async = 16, + key_string_value_json_storage_cls = , + vector_db_storage_cls = , + vector_db_storage_cls_kwargs = {}, + graph_storage_cls = , + enable_llm_cache = True, + addon_params = {}, + convert_response_to_json_func = + +2024-10-29 15:11:13,444 - lightrag - INFO - Load KV full_docs with 1 data +2024-10-29 15:11:13,444 - lightrag - INFO - Load KV text_chunks with 42 data +2024-10-29 15:11:13,445 - lightrag - INFO - Load KV llm_response_cache with 88 data +2024-10-29 15:11:13,466 - lightrag - INFO - Creating a new event loop in a sub-thread. +2024-10-29 15:11:13,466 - lightrag - WARNING - All docs are already in the storage +2024-10-29 15:11:13,489 - lightrag - INFO - Creating a new event loop in a sub-thread. +2024-10-29 15:11:14,228 - lightrag - INFO - Truncate 39 to 3 chunks +2024-10-29 15:11:14,238 - lightrag - INFO - Creating a new event loop in a sub-thread. +2024-10-29 15:11:15,324 - lightrag - INFO - get_node:query:MATCH (n:`EMOTION`) RETURN n:result: +2024-10-29 15:11:15,418 - lightrag - INFO - get_node:query:MATCH (n:`DARKNESS`) RETURN n:result: +2024-10-29 15:11:15,507 - lightrag - INFO - get_node:query:MATCH (n:`THE PHANTOM`) RETURN n:result: +2024-10-29 15:11:15,596 - lightrag - INFO - get_node:query:MATCH (n:`THE COSMIC SIGNIFICANCE`) RETURN n:result: +2024-10-29 15:11:15,686 - lightrag - INFO - get_node:query:MATCH (n:`CHRISTMAS HOLIDAYS`) RETURN n:result: +2024-10-29 15:11:15,778 - lightrag - INFO - get_node:query:MATCH (n:`PONDEROUS CHAIN`) RETURN n:result: +2024-10-29 15:11:15,869 - lightrag - INFO - get_node:query:MATCH (n:`HUMANITY`) RETURN n:result: +2024-10-29 15:11:15,962 - lightrag - INFO - get_node:query:MATCH (n:`CHRISTMAS`) RETURN n:result:"Christmas is a festive occasion that has led to a joyful transformation in Scrooge\'s character and actions.""Christmas is a festive time celebrated by the Cratchit family, symbolizing joy, family togetherness, and generosity.""Christmas is a significant holiday that serves as the backdrop for Scrooge\'s transformation and the events that unfold during the narrative.""Christmas is a significant holiday that triggers Scrooge\'s memories and reflections on joy, loneliness, and his past.""Christmas is central to the text, symbolizing generosity, charity, and warmth that Scrooge rejects.""Christmas is depicted as a festive season when charity and social duty are emphasized, contrasting with Scrooge\'s values.""Christmas is depicted as a time associated with joy and abundance, contrasting with Scrooge\'s initial views.""Christmas is depicted as a time of joy and communal spirit, marked by people\'s activities and interactions in the streets.""Christmas is depicted as a time of joy and generosity, contrasting sharply with Scrooge\'s past behavior and current solitude.""Christmas is portrayed as a festive time that Scrooge dismisses, emphasizing the contrast between joy and his miserable attitude.""Christmas is portrayed as a time of joy, reflection, and connection, emphasizing the positive impact of the holiday spirit on individuals and communities.""Christmas is presented as a time for merriment and social gatherings, which Scrooge\'s nephew advocates for despite his uncle\'s opposition.""Christmas is the central holiday during which the events unfold, leading to significant character transformations and themes of generosity.""Christmas is the season during which festive activities and celebrations are occurring, including dances and gatherings.""Christmas represents a time of reflection and change for Scrooge, emphasizing themes of redemption.""Christmas serves as a thematic backdrop for the story, symbolizing redemption, generosity, and the spirit of giving."', 'source_id': 'chunk-91614df5cb74cbe5e109a338a82041e9chunk-503f0bfa5453467c7c61d160a3540ecachunk-773d0df1dd25c356f7b771d780583e09chunk-8f738cb25d60a7dab782162d9d0a25edchunk-e7637ff18c5ded77a68cce0a87883fadchunk-8590d9263cd2cd4fa583c432fc54e6c3chunk-54bdd22db1f84a965b5f4c06c9216d8dchunk-02baee20cc9463dbe08170a8e1043e32chunk-90d5764e301321c087f5a8f78b73a145chunk-91572b3cd42786ba4cb2f180ca25cbf4chunk-1d4b58de5429cd1261370c231c8673e8chunk-da2472b4ef2a535b62908f14d0fb0ca9chunk-94bea83e7153fc2064aa382b494936a1chunk-89777b838d5447c7bd1ec11282c4ee89chunk-99b0ec7f7e006561352b5d65e849611dchunk-74e2466de2f67fd710ef2f20c0a8d9e0chunk-5dac41b3f9eeaf794f0147400b1718cd'}> +2024-10-29 15:11:16,050 - lightrag - INFO - get_node:query:MATCH (n:`DEATH`) RETURN n:result:"Death is described as a powerful force in the narrative, represented through the imagery of a cold, rigid presence and the contemplation of mortality.""Death refers to the passing of a character that triggers a range of emotions and reflections among the living, influencing their lives and relationships."', 'source_id': 'chunk-e1f29eeadc1d8ab46dc8a0bbd3c56b64chunk-83ac129dc9b56f84c46760d153d68e93chunk-02baee20cc9463dbe08170a8e1043e32'}> +2024-10-29 15:11:16,140 - lightrag - INFO - get_node:query:MATCH (n:`SCROOGE`) RETURN n:result:chunk-b2f98bc7abb0c67d4c86055c7fd72218chunk-91614df5cb74cbe5e109a338a82041e9chunk-8f738cb25d60a7dab782162d9d0a25edchunk-e7637ff18c5ded77a68cce0a87883fadchunk-d9aac3484185ac66045df92214d245d5chunk-90b95db5c53e4364a6bee36b7aa4d70fchunk-89777b838d5447c7bd1ec11282c4ee89chunk-c6c248858d1b13ab7ee9ca13c1aeed6bchunk-5dac41b3f9eeaf794f0147400b1718cdchunk-773d0df1dd25c356f7b771d780583e09chunk-843b5b2f944c7413d9ca876e2e2f151fchunk-f1a4fbcf1ed86864b9bfd5e8dba4c683chunk-359187e7571bda4b0b08b2e0b6581e52chunk-503f0bfa5453467c7c61d160a3540ecachunk-9c43dac2fcd5b578242d907ea6f8fc7bchunk-b0f459f5af1c3a5e0b92cbe4ee48b77bchunk-1aa50206d02ed89418f65f97c6441d1cchunk-54bdd22db1f84a965b5f4c06c9216d8dchunk-cb661c37436355ccec2769b1d0350c5fchunk-90d5764e301321c087f5a8f78b73a145chunk-91572b3cd42786ba4cb2f180ca25cbf4chunk-da2472b4ef2a535b62908f14d0fb0ca9chunk-99b0ec7f7e006561352b5d65e849611dchunk-43c9bee23adfa77aa9dedd22401bba7dchunk-83ac129dc9b56f84c46760d153d68e93chunk-e1f29eeadc1d8ab46dc8a0bbd3c56b64chunk-8590d9263cd2cd4fa583c432fc54e6c3chunk-02baee20cc9463dbe08170a8e1043e32chunk-94bea83e7153fc2064aa382b494936a1chunk-74e2466de2f67fd710ef2f20c0a8d9e0chunk-19d72c57ae3408758b18d2568e86dc6b'}> +2024-10-29 15:11:16,230 - lightrag - INFO - get_node:query:MATCH (n:`RUSTY KEYS, NAILS, CHAINS, HINGES`) RETURN n:result: +2024-10-29 15:11:16,319 - lightrag - INFO - get_node:query:MATCH (n:`THE PENANCE`) RETURN n:result: +2024-10-29 15:11:16,410 - lightrag - INFO - get_node:query:MATCH (n:`MAN`) RETURN n:result: +2024-10-29 15:11:16,500 - lightrag - INFO - get_node:query:MATCH (n:`THE SCHOOLMASTER`) RETURN n:result: +2024-10-29 15:11:16,595 - lightrag - INFO - get_node:query:MATCH (n:`THE GRAVE`) RETURN n:result: +2024-10-29 15:11:16,682 - lightrag - INFO - get_node:query:MATCH (n:`KEYHOLE`) RETURN n:result: +2024-10-29 15:11:16,773 - lightrag - INFO - get_node:query:MATCH (n:`SCHOOL`) RETURN n:result: +2024-10-29 15:11:16,863 - lightrag - INFO - get_node:query:MATCH (n:`THE CHAIN`) RETURN n:result:"The Chain symbolizes the burdens of the past that haunt the spirits, showcasing the consequences of one\'s actions in life."', 'source_id': 'chunk-359187e7571bda4b0b08b2e0b6581e52chunk-cb661c37436355ccec2769b1d0350c5f'}> +2024-10-29 15:11:16,954 - lightrag - INFO - get_node:query:MATCH (n:`THE THREE SPIRITS`) RETURN n:result: +2024-10-29 15:11:17,043 - lightrag - INFO - get_node:query:MATCH (n:`THE COLD`) RETURN n:result: +2024-10-29 15:11:17,130 - lightrag - INFO - get_node:query:MATCH (n:`DEEDS`) RETURN n:result: +2024-10-29 15:11:17,217 - lightrag - INFO - get_node:query:MATCH (n:`THE BLESSED STAR`) RETURN n:result: +2024-10-29 15:11:17,308 - lightrag - INFO - get_node:query:MATCH (n:`THE CANDLE`) RETURN n:result: +2024-10-29 15:11:17,400 - lightrag - INFO - get_node:query:MATCH (n:`FROST`) RETURN n:result: +2024-10-29 15:11:17,490 - lightrag - INFO - get_node:query:MATCH (n:`THE TRANSPARENT WINDOW`) RETURN n:result: +2024-10-29 15:11:17,578 - lightrag - INFO - get_node:query:MATCH (n:`THE CANDLE-LIGHT`) RETURN n:result: +2024-10-29 15:11:17,667 - lightrag - INFO - get_node:query:MATCH (n:`POVERTY`) RETURN n:result: +2024-10-29 15:11:17,760 - lightrag - INFO - get_node:query:MATCH (n:`SUNDAY CLOTHES BOY`) RETURN n:result: +2024-10-29 15:11:17,849 - lightrag - INFO - get_node:query:MATCH (n:`THE SOLITARY CHILD`) RETURN n:result: +2024-10-29 15:11:17,939 - lightrag - INFO - get_node:query:MATCH (n:`CITY`) RETURN n:result:"The City represents the urban setting where Scrooge witnesses the indifference of its inhabitants regarding his death.""The City represents the urban setting where Scrooge\'s transformation takes place, symbolizing the broader society impacted by his changes."', 'source_id': 'chunk-843b5b2f944c7413d9ca876e2e2f151fchunk-94bea83e7153fc2064aa382b494936a1chunk-02baee20cc9463dbe08170a8e1043e32'}> +2024-10-29 15:11:18,031 - lightrag - INFO - get_node:query:MATCH (n:`FEARFUL PLACE`) RETURN n:result: +2024-10-29 15:11:18,118 - lightrag - INFO - get_node:query:MATCH (n:`IRON CABLE`) RETURN n:result: +2024-10-29 15:11:18,207 - lightrag - INFO - get_node:query:MATCH (n:`SPIRIT`) RETURN n:result:"The Spirit embodies the lessons of compassion and social responsibility, guiding Scrooge through his reflections and realizations.""The Spirit is the manifestation of Scrooge\'s past that guides him through his memories, representing his former self and the influence of time.""The Spirit represents a ghostly entity, guiding Scrooge through visions of potential future events and urging him to acknowledge societal issues.""The Spirit represents a supernatural entity guiding Scrooge through his reflections on life, death, and human emotions, prompting self-awareness.""The Spirit represents the embodiment of the Christmas present, personifying the themes of generosity and merriment."', 'source_id': 'chunk-bb21d58d36c6306fd8810ddd51c4a971chunk-83ac129dc9b56f84c46760d153d68e93chunk-e7637ff18c5ded77a68cce0a87883fadchunk-843b5b2f944c7413d9ca876e2e2f151fchunk-1aa50206d02ed89418f65f97c6441d1cchunk-02baee20cc9463dbe08170a8e1043e32'}> +2024-10-29 15:11:18,297 - lightrag - INFO - get_node:query:MATCH (n:`THE SETTING SUN`) RETURN n:result: +2024-10-29 15:11:18,387 - lightrag - INFO - get_node:query:MATCH (n:`KEYS`) RETURN n:result: +2024-10-29 15:11:18,482 - lightrag - INFO - get_node:query:MATCH (n:`THE CLOTHES AND ITEMS`) RETURN n:result: +2024-10-29 15:11:18,574 - lightrag - INFO - get_node:query:MATCH (n:`AVARICE`) RETURN n:result: +2024-10-29 15:11:18,663 - lightrag - INFO - get_node:query:MATCH (n:`THE FIREPLACE`) RETURN n:result: +2024-10-29 15:11:18,752 - lightrag - INFO - get_node:query:MATCH (n:`WANT`) RETURN n:result: +2024-10-29 15:11:18,843 - lightrag - INFO - get_node:query:MATCH (n:`THE DAUGHTER`) RETURN n:result: +2024-10-29 15:11:18,935 - lightrag - INFO - get_node:query:MATCH (n:`CHRISTMAS-TIME`) RETURN n:result:"Christmas-time represents the festive season, a recurring theme that evokes memories and emotions in Scrooge’s reflections.""Christmas-time serves as a backdrop for the narrative, emphasizing themes of reflection, mortality, and social interactions."', 'source_id': 'chunk-f1a4fbcf1ed86864b9bfd5e8dba4c683chunk-c6c248858d1b13ab7ee9ca13c1aeed6bchunk-5dac41b3f9eeaf794f0147400b1718cd'}> +2024-10-29 15:11:19,026 - lightrag - INFO - get_node:query:MATCH (n:`THE BED`) RETURN n:result: +2024-10-29 15:11:19,113 - lightrag - INFO - get_node:query:MATCH (n:`SHADOW OF HIMSELF`) RETURN n:result: +2024-10-29 15:11:19,205 - lightrag - INFO - get_node:query:MATCH (n:`KIND WORD`) RETURN n:result: +2024-10-29 15:11:19,295 - lightrag - INFO - get_node:query:MATCH (n:`GAOL`) RETURN n:result: +2024-10-29 15:11:19,402 - lightrag - INFO - get_node:query:MATCH (n:`IGNORANCE`) RETURN n:result:"Ignorance is personified as a boy that symbolizes the dangers of ignoring social issues and the consequences of a lack of awareness."', 'source_id': 'chunk-02baee20cc9463dbe08170a8e1043e32chunk-e7637ff18c5ded77a68cce0a87883fad'}> +2024-10-29 15:11:19,495 - lightrag - INFO - get_node:query:MATCH (n:`CHILDREN`) RETURN n:result:"The Children represent the joyful, carefree aspects of Scrooge\'s past, embodying happiness and the innocence of youth that he has long forgotten."', 'source_id': 'chunk-bb21d58d36c6306fd8810ddd51c4a971chunk-e7637ff18c5ded77a68cce0a87883fad'}> +2024-10-29 15:11:19,585 - lightrag - INFO - get_node:query:MATCH (n:`THE ROOM BY DAYLIGHT`) RETURN n:result: +2024-10-29 15:11:19,675 - lightrag - INFO - get_node:query:MATCH (n:`THE BOTTLE`) RETURN n:result: +2024-10-29 15:11:19,769 - lightrag - INFO - get_node:query:MATCH (n:`THE FLANNEL BAG`) RETURN n:result: +2024-10-29 15:11:19,861 - lightrag - INFO - get_node:query:MATCH (n:`THE YOUNG GIRL`) RETURN n:result: +2024-10-29 15:11:19,954 - lightrag - INFO - get_node:query:MATCH (n:`A CHRISTMAS CAROL`) RETURN n:result: +2024-10-29 15:11:20,042 - lightrag - INFO - get_node:query:MATCH (n:`THE CITY`) RETURN n:result:"The City represents the bustling urban environment where Scrooge reflects on his past, filled with activity and shadowy figures.""The City, from which Scrooge is transported, represents his past life and is contrasted with the open country road that signifies his memories."', 'source_id': 'chunk-bb21d58d36c6306fd8810ddd51c4a971chunk-c6c248858d1b13ab7ee9ca13c1aeed6bchunk-74e2466de2f67fd710ef2f20c0a8d9e0'}> +2024-10-29 15:11:20,128 - lightrag - INFO - get_node:query:MATCH (n:`GHOST`) RETURN n:result:"The Ghost refers to the spirit guiding Scrooge, embodying the themes of memory and reflection on the joys of Christmas.""The Ghost represents a spiritual guide that takes Scrooge on a journey to learn important lessons about compassion and humanity.""The Ghost serves as a supernatural guide for Scrooge, prompting him to reflect on his life and choices."', 'source_id': 'chunk-503f0bfa5453467c7c61d160a3540ecachunk-c6c248858d1b13ab7ee9ca13c1aeed6bchunk-e7637ff18c5ded77a68cce0a87883fadchunk-43c9bee23adfa77aa9dedd22401bba7d'}> +2024-10-29 15:11:20,217 - lightrag - INFO - get_node:query:MATCH (n:`MERCILESS CREDITOR`) RETURN n:result: +2024-10-29 15:11:20,302 - lightrag - INFO - get_node:query:MATCH (n:`THE SPIRITS`) RETURN n:result:"The Spirits represent the past, present, and future in Scrooge\'s life, guiding him toward redemption and self-reflection."', 'source_id': 'chunk-90b95db5c53e4364a6bee36b7aa4d70fchunk-cb661c37436355ccec2769b1d0350c5f'}> +2024-10-29 15:11:20,414 - lightrag - INFO - get_node:query:MATCH (n:`THE MOTHER`) RETURN n:result:"The Mother is a character associated with the family dynamics during the Christmas scene, though her actions are not explicitly detailed.""The Mother is depicted as a comely matron, who enjoys the laughter and chaos with her children, showing warmth and family value."', 'source_id': 'chunk-da2472b4ef2a535b62908f14d0fb0ca9chunk-83ac129dc9b56f84c46760d153d68e93chunk-54bdd22db1f84a965b5f4c06c9216d8d'}> +2024-10-29 15:11:20,502 - lightrag - INFO - get_node:query:MATCH (n:`LIGHT`) RETURN n:result: +2024-10-29 15:11:20,594 - lightrag - INFO - get_node:query:MATCH (n:`TWO YOUNG CRATCHITS`) RETURN n:result: +2024-10-29 15:11:20,681 - lightrag - INFO - get_node:query:MATCH (n:`JOE`) RETURN n:result:"Joe is a marine-store dealer depicted as receiving stolen goods, illustrating the consequences of crime and the darker sides of society.""Joe is portrayed as a character engaged in a conversation about the deceased, displaying a mix of humor and practicality in dealing with the possessions of the dead."', 'source_id': 'chunk-89777b838d5447c7bd1ec11282c4ee89chunk-9e3921da66da5d761ab73cd849af6c43chunk-e1f29eeadc1d8ab46dc8a0bbd3c56b64'}> +2024-10-29 15:11:20,827 - lightrag - INFO - _find_node_degree:query: + MATCH (n:`EMOTION`) + RETURN COUNT{ (n)--() } AS totalEdgeCount + :result:0 +2024-10-29 15:11:21,000 - lightrag - INFO - _find_node_degree:query: + MATCH (n:`DARKNESS`) + RETURN COUNT{ (n)--() } AS totalEdgeCount + :result:1 +2024-10-29 15:11:21,170 - lightrag - INFO - _find_node_degree:query: + MATCH (n:`THE PHANTOM`) + RETURN COUNT{ (n)--() } AS totalEdgeCount + :result:2 +2024-10-29 15:11:21,366 - lightrag - INFO - _find_node_degree:query: + MATCH (n:`THE COSMIC SIGNIFICANCE`) + RETURN COUNT{ (n)--() } AS totalEdgeCount + :result:0 +2024-10-29 15:11:21,533 - lightrag - INFO - _find_node_degree:query: + MATCH (n:`CHRISTMAS HOLIDAYS`) + RETURN COUNT{ (n)--() } AS totalEdgeCount + :result:0 +2024-10-29 15:11:21,704 - lightrag - INFO - _find_node_degree:query: + MATCH (n:`PONDEROUS CHAIN`) + RETURN COUNT{ (n)--() } AS totalEdgeCount + :result:0 +2024-10-29 15:11:21,883 - lightrag - INFO - _find_node_degree:query: + MATCH (n:`HUMANITY`) + RETURN COUNT{ (n)--() } AS totalEdgeCount + :result:1 +2024-10-29 15:11:22,056 - lightrag - INFO - _find_node_degree:query: + MATCH (n:`CHRISTMAS`) + RETURN COUNT{ (n)--() } AS totalEdgeCount + :result:18 +2024-10-29 15:11:22,233 - lightrag - INFO - _find_node_degree:query: + MATCH (n:`DEATH`) + RETURN COUNT{ (n)--() } AS totalEdgeCount + :result:3 +2024-10-29 15:11:22,406 - lightrag - INFO - _find_node_degree:query: + MATCH (n:`SCROOGE`) + RETURN COUNT{ (n)--() } AS totalEdgeCount + :result:100 +2024-10-29 15:11:22,581 - lightrag - INFO - _find_node_degree:query: + MATCH (n:`RUSTY KEYS, NAILS, CHAINS, HINGES`) + RETURN COUNT{ (n)--() } AS totalEdgeCount + :result:1 +2024-10-29 15:11:22,754 - lightrag - INFO - _find_node_degree:query: + MATCH (n:`THE PENANCE`) + RETURN COUNT{ (n)--() } AS totalEdgeCount + :result:0 +2024-10-29 15:11:22,929 - lightrag - INFO - _find_node_degree:query: + MATCH (n:`MAN`) + RETURN COUNT{ (n)--() } AS totalEdgeCount + :result:1 +2024-10-29 15:11:23,097 - lightrag - INFO - _find_node_degree:query: + MATCH (n:`THE SCHOOLMASTER`) + RETURN COUNT{ (n)--() } AS totalEdgeCount + :result:1 +2024-10-29 15:11:23,270 - lightrag - INFO - _find_node_degree:query: + MATCH (n:`THE GRAVE`) + RETURN COUNT{ (n)--() } AS totalEdgeCount + :result:1 +2024-10-29 15:11:23,441 - lightrag - INFO - _find_node_degree:query: + MATCH (n:`KEYHOLE`) + RETURN COUNT{ (n)--() } AS totalEdgeCount + :result:0 +2024-10-29 15:11:23,611 - lightrag - INFO - _find_node_degree:query: + MATCH (n:`SCHOOL`) + RETURN COUNT{ (n)--() } AS totalEdgeCount + :result:2 +2024-10-29 15:11:23,782 - lightrag - INFO - _find_node_degree:query: + MATCH (n:`THE CHAIN`) + RETURN COUNT{ (n)--() } AS totalEdgeCount + :result:0 +2024-10-29 15:11:23,956 - lightrag - INFO - _find_node_degree:query: + MATCH (n:`THE THREE SPIRITS`) + RETURN COUNT{ (n)--() } AS totalEdgeCount + :result:1 +2024-10-29 15:11:24,126 - lightrag - INFO - _find_node_degree:query: + MATCH (n:`THE COLD`) + RETURN COUNT{ (n)--() } AS totalEdgeCount + :result:1 +2024-10-29 15:11:24,297 - lightrag - INFO - _find_node_degree:query: + MATCH (n:`DEEDS`) + RETURN COUNT{ (n)--() } AS totalEdgeCount + :result:0 +2024-10-29 15:11:24,472 - lightrag - INFO - _find_node_degree:query: + MATCH (n:`THE BLESSED STAR`) + RETURN COUNT{ (n)--() } AS totalEdgeCount + :result:0 +2024-10-29 15:11:24,648 - lightrag - INFO - _find_node_degree:query: + MATCH (n:`THE CANDLE`) + RETURN COUNT{ (n)--() } AS totalEdgeCount + :result:1 +2024-10-29 15:11:24,817 - lightrag - INFO - _find_node_degree:query: + MATCH (n:`FROST`) + RETURN COUNT{ (n)--() } AS totalEdgeCount + :result:1 +2024-10-29 15:11:24,988 - lightrag - INFO - _find_node_degree:query: + MATCH (n:`THE TRANSPARENT WINDOW`) + RETURN COUNT{ (n)--() } AS totalEdgeCount + :result:0 +2024-10-29 15:11:25,162 - lightrag - INFO - _find_node_degree:query: + MATCH (n:`THE CANDLE-LIGHT`) + RETURN COUNT{ (n)--() } AS totalEdgeCount + :result:0 +2024-10-29 15:11:25,338 - lightrag - INFO - _find_node_degree:query: + MATCH (n:`POVERTY`) + RETURN COUNT{ (n)--() } AS totalEdgeCount + :result:1 +2024-10-29 15:11:25,511 - lightrag - INFO - _find_node_degree:query: + MATCH (n:`SUNDAY CLOTHES BOY`) + RETURN COUNT{ (n)--() } AS totalEdgeCount + :result:1 +2024-10-29 15:11:25,684 - lightrag - INFO - _find_node_degree:query: + MATCH (n:`THE SOLITARY CHILD`) + RETURN COUNT{ (n)--() } AS totalEdgeCount + :result:0 +2024-10-29 15:11:25,856 - lightrag - INFO - _find_node_degree:query: + MATCH (n:`CITY`) + RETURN COUNT{ (n)--() } AS totalEdgeCount + :result:1 +2024-10-29 15:11:26,031 - lightrag - INFO - _find_node_degree:query: + MATCH (n:`FEARFUL PLACE`) + RETURN COUNT{ (n)--() } AS totalEdgeCount + :result:0 +2024-10-29 15:11:26,209 - lightrag - INFO - _find_node_degree:query: + MATCH (n:`IRON CABLE`) + RETURN COUNT{ (n)--() } AS totalEdgeCount + :result:0 +2024-10-29 15:11:26,380 - lightrag - INFO - _find_node_degree:query: + MATCH (n:`SPIRIT`) + RETURN COUNT{ (n)--() } AS totalEdgeCount + :result:9 +2024-10-29 15:11:26,551 - lightrag - INFO - _find_node_degree:query: + MATCH (n:`THE SETTING SUN`) + RETURN COUNT{ (n)--() } AS totalEdgeCount + :result:1 +2024-10-29 15:11:26,724 - lightrag - INFO - _find_node_degree:query: + MATCH (n:`KEYS`) + RETURN COUNT{ (n)--() } AS totalEdgeCount + :result:0 +2024-10-29 15:11:26,900 - lightrag - INFO - _find_node_degree:query: + MATCH (n:`THE CLOTHES AND ITEMS`) + RETURN COUNT{ (n)--() } AS totalEdgeCount + :result:0 +2024-10-29 15:11:27,075 - lightrag - INFO - _find_node_degree:query: + MATCH (n:`AVARICE`) + RETURN COUNT{ (n)--() } AS totalEdgeCount + :result:0 +2024-10-29 15:11:27,248 - lightrag - INFO - _find_node_degree:query: + MATCH (n:`THE FIREPLACE`) + RETURN COUNT{ (n)--() } AS totalEdgeCount + :result:0 +2024-10-29 15:11:27,418 - lightrag - INFO - _find_node_degree:query: + MATCH (n:`WANT`) + RETURN COUNT{ (n)--() } AS totalEdgeCount + :result:1 +2024-10-29 15:11:27,591 - lightrag - INFO - _find_node_degree:query: + MATCH (n:`THE DAUGHTER`) + RETURN COUNT{ (n)--() } AS totalEdgeCount + :result:1 +2024-10-29 15:11:27,766 - lightrag - INFO - _find_node_degree:query: + MATCH (n:`CHRISTMAS-TIME`) + RETURN COUNT{ (n)--() } AS totalEdgeCount + :result:2 +2024-10-29 15:11:27,940 - lightrag - INFO - _find_node_degree:query: + MATCH (n:`THE BED`) + RETURN COUNT{ (n)--() } AS totalEdgeCount + :result:1 +2024-10-29 15:11:28,111 - lightrag - INFO - _find_node_degree:query: + MATCH (n:`SHADOW OF HIMSELF`) + RETURN COUNT{ (n)--() } AS totalEdgeCount + :result:1 +2024-10-29 15:11:28,283 - lightrag - INFO - _find_node_degree:query: + MATCH (n:`KIND WORD`) + RETURN COUNT{ (n)--() } AS totalEdgeCount + :result:0 +2024-10-29 15:11:28,451 - lightrag - INFO - _find_node_degree:query: + MATCH (n:`GAOL`) + RETURN COUNT{ (n)--() } AS totalEdgeCount + :result:1 +2024-10-29 15:11:28,629 - lightrag - INFO - _find_node_degree:query: + MATCH (n:`IGNORANCE`) + RETURN COUNT{ (n)--() } AS totalEdgeCount + :result:3 +2024-10-29 15:11:28,798 - lightrag - INFO - _find_node_degree:query: + MATCH (n:`CHILDREN`) + RETURN COUNT{ (n)--() } AS totalEdgeCount + :result:2 +2024-10-29 15:11:28,982 - lightrag - INFO - _find_node_degree:query: + MATCH (n:`THE ROOM BY DAYLIGHT`) + RETURN COUNT{ (n)--() } AS totalEdgeCount + :result:0 +2024-10-29 15:11:29,152 - lightrag - INFO - _find_node_degree:query: + MATCH (n:`THE BOTTLE`) + RETURN COUNT{ (n)--() } AS totalEdgeCount + :result:0 +2024-10-29 15:11:29,323 - lightrag - INFO - _find_node_degree:query: + MATCH (n:`THE FLANNEL BAG`) + RETURN COUNT{ (n)--() } AS totalEdgeCount + :result:0 +2024-10-29 15:11:29,487 - lightrag - INFO - _find_node_degree:query: + MATCH (n:`THE YOUNG GIRL`) + RETURN COUNT{ (n)--() } AS totalEdgeCount + :result:1 +2024-10-29 15:11:29,652 - lightrag - INFO - _find_node_degree:query: + MATCH (n:`A CHRISTMAS CAROL`) + RETURN COUNT{ (n)--() } AS totalEdgeCount + :result:3 +2024-10-29 15:11:29,825 - lightrag - INFO - _find_node_degree:query: + MATCH (n:`THE CITY`) + RETURN COUNT{ (n)--() } AS totalEdgeCount + :result:3 +2024-10-29 15:11:29,994 - lightrag - INFO - _find_node_degree:query: + MATCH (n:`GHOST`) + RETURN COUNT{ (n)--() } AS totalEdgeCount + :result:3 +2024-10-29 15:11:30,164 - lightrag - INFO - _find_node_degree:query: + MATCH (n:`MERCILESS CREDITOR`) + RETURN COUNT{ (n)--() } AS totalEdgeCount + :result:0 +2024-10-29 15:11:30,367 - lightrag - INFO - _find_node_degree:query: + MATCH (n:`THE SPIRITS`) + RETURN COUNT{ (n)--() } AS totalEdgeCount + :result:1 +2024-10-29 15:11:30,542 - lightrag - INFO - _find_node_degree:query: + MATCH (n:`THE MOTHER`) + RETURN COUNT{ (n)--() } AS totalEdgeCount + :result:2 +2024-10-29 15:11:30,711 - lightrag - INFO - _find_node_degree:query: + MATCH (n:`LIGHT`) + RETURN COUNT{ (n)--() } AS totalEdgeCount + :result:1 +2024-10-29 15:11:30,886 - lightrag - INFO - _find_node_degree:query: + MATCH (n:`TWO YOUNG CRATCHITS`) + RETURN COUNT{ (n)--() } AS totalEdgeCount + :result:0 +2024-10-29 15:11:31,136 - lightrag - INFO - _find_node_degree:query: + MATCH (n:`JOE`) + RETURN COUNT{ (n)--() } AS totalEdgeCount + :result:2 +2024-10-29 15:13:42,341 - lightrag - INFO - Logger initialized for working directory: ./neo4jWorkDir +2024-10-29 15:13:42,341 - lightrag - DEBUG - LightRAG init with param: + working_dir = ./neo4jWorkDir, + chunk_token_size = 1200, + chunk_overlap_token_size = 100, + tiktoken_model_name = gpt-4o-mini, + entity_extract_max_gleaning = 1, + entity_summary_to_max_tokens = 500, + node_embedding_algorithm = node2vec, + node2vec_params = {'dimensions': 1536, 'num_walks': 10, 'walk_length': 40, 'window_size': 2, 'iterations': 3, 'random_seed': 3}, + embedding_func = {'embedding_dim': 1536, 'max_token_size': 8192, 'func': }, + embedding_batch_num = 32, + embedding_func_max_async = 16, + llm_model_func = , + llm_model_name = meta-llama/Llama-3.2-1B-Instruct, + llm_model_max_token_size = 32768, + llm_model_max_async = 16, + key_string_value_json_storage_cls = , + vector_db_storage_cls = , + vector_db_storage_cls_kwargs = {}, + graph_storage_cls = , + enable_llm_cache = True, + addon_params = {}, + convert_response_to_json_func = + +2024-10-29 15:13:42,342 - lightrag - INFO - Load KV full_docs with 1 data +2024-10-29 15:13:42,343 - lightrag - INFO - Load KV text_chunks with 42 data +2024-10-29 15:13:42,343 - lightrag - INFO - Load KV llm_response_cache with 88 data +2024-10-29 15:13:42,364 - lightrag - INFO - Creating a new event loop in a sub-thread. +2024-10-29 15:13:42,364 - lightrag - WARNING - All docs are already in the storage +2024-10-29 15:13:42,393 - lightrag - INFO - Creating a new event loop in a sub-thread. +2024-10-29 15:13:42,891 - lightrag - INFO - Truncate 39 to 3 chunks +2024-10-29 15:13:42,914 - lightrag - INFO - Creating a new event loop in a sub-thread. +2024-10-29 15:13:44,020 - lightrag - INFO - get_node:query:MATCH (n:`EMOTION`) RETURN n:result: +2024-10-29 15:13:44,110 - lightrag - INFO - get_node:query:MATCH (n:`DARKNESS`) RETURN n:result: +2024-10-29 15:13:44,199 - lightrag - INFO - get_node:query:MATCH (n:`THE PHANTOM`) RETURN n:result: +2024-10-29 15:13:44,292 - lightrag - INFO - get_node:query:MATCH (n:`THE COSMIC SIGNIFICANCE`) RETURN n:result: +2024-10-29 15:13:44,380 - lightrag - INFO - get_node:query:MATCH (n:`CHRISTMAS HOLIDAYS`) RETURN n:result: +2024-10-29 15:13:44,472 - lightrag - INFO - get_node:query:MATCH (n:`PONDEROUS CHAIN`) RETURN n:result: +2024-10-29 15:13:44,562 - lightrag - INFO - get_node:query:MATCH (n:`HUMANITY`) RETURN n:result: +2024-10-29 15:13:44,652 - lightrag - INFO - get_node:query:MATCH (n:`CHRISTMAS`) RETURN n:result:"Christmas is a festive occasion that has led to a joyful transformation in Scrooge\'s character and actions.""Christmas is a festive time celebrated by the Cratchit family, symbolizing joy, family togetherness, and generosity.""Christmas is a significant holiday that serves as the backdrop for Scrooge\'s transformation and the events that unfold during the narrative.""Christmas is a significant holiday that triggers Scrooge\'s memories and reflections on joy, loneliness, and his past.""Christmas is central to the text, symbolizing generosity, charity, and warmth that Scrooge rejects.""Christmas is depicted as a festive season when charity and social duty are emphasized, contrasting with Scrooge\'s values.""Christmas is depicted as a time associated with joy and abundance, contrasting with Scrooge\'s initial views.""Christmas is depicted as a time of joy and communal spirit, marked by people\'s activities and interactions in the streets.""Christmas is depicted as a time of joy and generosity, contrasting sharply with Scrooge\'s past behavior and current solitude.""Christmas is portrayed as a festive time that Scrooge dismisses, emphasizing the contrast between joy and his miserable attitude.""Christmas is portrayed as a time of joy, reflection, and connection, emphasizing the positive impact of the holiday spirit on individuals and communities.""Christmas is presented as a time for merriment and social gatherings, which Scrooge\'s nephew advocates for despite his uncle\'s opposition.""Christmas is the central holiday during which the events unfold, leading to significant character transformations and themes of generosity.""Christmas is the season during which festive activities and celebrations are occurring, including dances and gatherings.""Christmas represents a time of reflection and change for Scrooge, emphasizing themes of redemption.""Christmas serves as a thematic backdrop for the story, symbolizing redemption, generosity, and the spirit of giving."', 'source_id': 'chunk-91614df5cb74cbe5e109a338a82041e9chunk-503f0bfa5453467c7c61d160a3540ecachunk-773d0df1dd25c356f7b771d780583e09chunk-8f738cb25d60a7dab782162d9d0a25edchunk-e7637ff18c5ded77a68cce0a87883fadchunk-8590d9263cd2cd4fa583c432fc54e6c3chunk-54bdd22db1f84a965b5f4c06c9216d8dchunk-02baee20cc9463dbe08170a8e1043e32chunk-90d5764e301321c087f5a8f78b73a145chunk-91572b3cd42786ba4cb2f180ca25cbf4chunk-1d4b58de5429cd1261370c231c8673e8chunk-da2472b4ef2a535b62908f14d0fb0ca9chunk-94bea83e7153fc2064aa382b494936a1chunk-89777b838d5447c7bd1ec11282c4ee89chunk-99b0ec7f7e006561352b5d65e849611dchunk-74e2466de2f67fd710ef2f20c0a8d9e0chunk-5dac41b3f9eeaf794f0147400b1718cd'}> +2024-10-29 15:13:44,739 - lightrag - INFO - get_node:query:MATCH (n:`DEATH`) RETURN n:result:"Death is described as a powerful force in the narrative, represented through the imagery of a cold, rigid presence and the contemplation of mortality.""Death refers to the passing of a character that triggers a range of emotions and reflections among the living, influencing their lives and relationships."', 'source_id': 'chunk-e1f29eeadc1d8ab46dc8a0bbd3c56b64chunk-83ac129dc9b56f84c46760d153d68e93chunk-02baee20cc9463dbe08170a8e1043e32'}> +2024-10-29 15:13:44,824 - lightrag - INFO - get_node:query:MATCH (n:`SCROOGE`) RETURN n:result:chunk-b2f98bc7abb0c67d4c86055c7fd72218chunk-91614df5cb74cbe5e109a338a82041e9chunk-8f738cb25d60a7dab782162d9d0a25edchunk-e7637ff18c5ded77a68cce0a87883fadchunk-d9aac3484185ac66045df92214d245d5chunk-90b95db5c53e4364a6bee36b7aa4d70fchunk-89777b838d5447c7bd1ec11282c4ee89chunk-c6c248858d1b13ab7ee9ca13c1aeed6bchunk-5dac41b3f9eeaf794f0147400b1718cdchunk-773d0df1dd25c356f7b771d780583e09chunk-843b5b2f944c7413d9ca876e2e2f151fchunk-f1a4fbcf1ed86864b9bfd5e8dba4c683chunk-359187e7571bda4b0b08b2e0b6581e52chunk-503f0bfa5453467c7c61d160a3540ecachunk-9c43dac2fcd5b578242d907ea6f8fc7bchunk-b0f459f5af1c3a5e0b92cbe4ee48b77bchunk-1aa50206d02ed89418f65f97c6441d1cchunk-54bdd22db1f84a965b5f4c06c9216d8dchunk-cb661c37436355ccec2769b1d0350c5fchunk-90d5764e301321c087f5a8f78b73a145chunk-91572b3cd42786ba4cb2f180ca25cbf4chunk-da2472b4ef2a535b62908f14d0fb0ca9chunk-99b0ec7f7e006561352b5d65e849611dchunk-43c9bee23adfa77aa9dedd22401bba7dchunk-83ac129dc9b56f84c46760d153d68e93chunk-e1f29eeadc1d8ab46dc8a0bbd3c56b64chunk-8590d9263cd2cd4fa583c432fc54e6c3chunk-02baee20cc9463dbe08170a8e1043e32chunk-94bea83e7153fc2064aa382b494936a1chunk-74e2466de2f67fd710ef2f20c0a8d9e0chunk-19d72c57ae3408758b18d2568e86dc6b'}> +2024-10-29 15:13:44,913 - lightrag - INFO - get_node:query:MATCH (n:`RUSTY KEYS, NAILS, CHAINS, HINGES`) RETURN n:result: +2024-10-29 15:13:45,003 - lightrag - INFO - get_node:query:MATCH (n:`THE PENANCE`) RETURN n:result: +2024-10-29 15:13:45,090 - lightrag - INFO - get_node:query:MATCH (n:`MAN`) RETURN n:result: +2024-10-29 15:13:45,177 - lightrag - INFO - get_node:query:MATCH (n:`THE SCHOOLMASTER`) RETURN n:result: +2024-10-29 15:13:45,263 - lightrag - INFO - get_node:query:MATCH (n:`THE GRAVE`) RETURN n:result: +2024-10-29 15:13:45,354 - lightrag - INFO - get_node:query:MATCH (n:`KEYHOLE`) RETURN n:result: +2024-10-29 15:13:45,444 - lightrag - INFO - get_node:query:MATCH (n:`SCHOOL`) RETURN n:result: +2024-10-29 15:13:45,535 - lightrag - INFO - get_node:query:MATCH (n:`THE CHAIN`) RETURN n:result:"The Chain symbolizes the burdens of the past that haunt the spirits, showcasing the consequences of one\'s actions in life."', 'source_id': 'chunk-359187e7571bda4b0b08b2e0b6581e52chunk-cb661c37436355ccec2769b1d0350c5f'}> +2024-10-29 15:13:45,624 - lightrag - INFO - get_node:query:MATCH (n:`THE THREE SPIRITS`) RETURN n:result: +2024-10-29 15:13:45,713 - lightrag - INFO - get_node:query:MATCH (n:`THE COLD`) RETURN n:result: +2024-10-29 15:13:45,814 - lightrag - INFO - get_node:query:MATCH (n:`DEEDS`) RETURN n:result: +2024-10-29 15:13:45,913 - lightrag - INFO - get_node:query:MATCH (n:`THE BLESSED STAR`) RETURN n:result: +2024-10-29 15:13:46,020 - lightrag - INFO - get_node:query:MATCH (n:`THE CANDLE`) RETURN n:result: +2024-10-29 15:13:46,107 - lightrag - INFO - get_node:query:MATCH (n:`FROST`) RETURN n:result: +2024-10-29 15:13:46,192 - lightrag - INFO - get_node:query:MATCH (n:`THE TRANSPARENT WINDOW`) RETURN n:result: +2024-10-29 15:13:46,290 - lightrag - INFO - get_node:query:MATCH (n:`THE CANDLE-LIGHT`) RETURN n:result: +2024-10-29 15:13:46,379 - lightrag - INFO - get_node:query:MATCH (n:`POVERTY`) RETURN n:result: +2024-10-29 15:13:46,474 - lightrag - INFO - get_node:query:MATCH (n:`SUNDAY CLOTHES BOY`) RETURN n:result: +2024-10-29 15:13:46,562 - lightrag - INFO - get_node:query:MATCH (n:`THE SOLITARY CHILD`) RETURN n:result: +2024-10-29 15:13:46,648 - lightrag - INFO - get_node:query:MATCH (n:`CITY`) RETURN n:result:"The City represents the urban setting where Scrooge witnesses the indifference of its inhabitants regarding his death.""The City represents the urban setting where Scrooge\'s transformation takes place, symbolizing the broader society impacted by his changes."', 'source_id': 'chunk-843b5b2f944c7413d9ca876e2e2f151fchunk-94bea83e7153fc2064aa382b494936a1chunk-02baee20cc9463dbe08170a8e1043e32'}> +2024-10-29 15:13:46,737 - lightrag - INFO - get_node:query:MATCH (n:`FEARFUL PLACE`) RETURN n:result: +2024-10-29 15:13:46,828 - lightrag - INFO - get_node:query:MATCH (n:`IRON CABLE`) RETURN n:result: +2024-10-29 15:13:46,918 - lightrag - INFO - get_node:query:MATCH (n:`SPIRIT`) RETURN n:result:"The Spirit embodies the lessons of compassion and social responsibility, guiding Scrooge through his reflections and realizations.""The Spirit is the manifestation of Scrooge\'s past that guides him through his memories, representing his former self and the influence of time.""The Spirit represents a ghostly entity, guiding Scrooge through visions of potential future events and urging him to acknowledge societal issues.""The Spirit represents a supernatural entity guiding Scrooge through his reflections on life, death, and human emotions, prompting self-awareness.""The Spirit represents the embodiment of the Christmas present, personifying the themes of generosity and merriment."', 'source_id': 'chunk-bb21d58d36c6306fd8810ddd51c4a971chunk-83ac129dc9b56f84c46760d153d68e93chunk-e7637ff18c5ded77a68cce0a87883fadchunk-843b5b2f944c7413d9ca876e2e2f151fchunk-1aa50206d02ed89418f65f97c6441d1cchunk-02baee20cc9463dbe08170a8e1043e32'}> +2024-10-29 15:13:47,007 - lightrag - INFO - get_node:query:MATCH (n:`THE SETTING SUN`) RETURN n:result: +2024-10-29 15:13:47,092 - lightrag - INFO - get_node:query:MATCH (n:`KEYS`) RETURN n:result: +2024-10-29 15:13:47,180 - lightrag - INFO - get_node:query:MATCH (n:`THE CLOTHES AND ITEMS`) RETURN n:result: +2024-10-29 15:13:47,266 - lightrag - INFO - get_node:query:MATCH (n:`AVARICE`) RETURN n:result: +2024-10-29 15:13:47,357 - lightrag - INFO - get_node:query:MATCH (n:`THE FIREPLACE`) RETURN n:result: +2024-10-29 15:13:47,450 - lightrag - INFO - get_node:query:MATCH (n:`WANT`) RETURN n:result: +2024-10-29 15:13:47,541 - lightrag - INFO - get_node:query:MATCH (n:`THE DAUGHTER`) RETURN n:result: +2024-10-29 15:13:47,630 - lightrag - INFO - get_node:query:MATCH (n:`CHRISTMAS-TIME`) RETURN n:result:"Christmas-time represents the festive season, a recurring theme that evokes memories and emotions in Scrooge’s reflections.""Christmas-time serves as a backdrop for the narrative, emphasizing themes of reflection, mortality, and social interactions."', 'source_id': 'chunk-f1a4fbcf1ed86864b9bfd5e8dba4c683chunk-c6c248858d1b13ab7ee9ca13c1aeed6bchunk-5dac41b3f9eeaf794f0147400b1718cd'}> +2024-10-29 15:13:47,719 - lightrag - INFO - get_node:query:MATCH (n:`THE BED`) RETURN n:result: +2024-10-29 15:13:47,810 - lightrag - INFO - get_node:query:MATCH (n:`SHADOW OF HIMSELF`) RETURN n:result: +2024-10-29 15:13:47,902 - lightrag - INFO - get_node:query:MATCH (n:`KIND WORD`) RETURN n:result: +2024-10-29 15:13:47,995 - lightrag - INFO - get_node:query:MATCH (n:`GAOL`) RETURN n:result: +2024-10-29 15:13:48,080 - lightrag - INFO - get_node:query:MATCH (n:`IGNORANCE`) RETURN n:result:"Ignorance is personified as a boy that symbolizes the dangers of ignoring social issues and the consequences of a lack of awareness."', 'source_id': 'chunk-02baee20cc9463dbe08170a8e1043e32chunk-e7637ff18c5ded77a68cce0a87883fad'}> +2024-10-29 15:13:48,167 - lightrag - INFO - get_node:query:MATCH (n:`CHILDREN`) RETURN n:result:"The Children represent the joyful, carefree aspects of Scrooge\'s past, embodying happiness and the innocence of youth that he has long forgotten."', 'source_id': 'chunk-bb21d58d36c6306fd8810ddd51c4a971chunk-e7637ff18c5ded77a68cce0a87883fad'}> +2024-10-29 15:13:48,256 - lightrag - INFO - get_node:query:MATCH (n:`THE ROOM BY DAYLIGHT`) RETURN n:result: +2024-10-29 15:13:48,344 - lightrag - INFO - get_node:query:MATCH (n:`THE BOTTLE`) RETURN n:result: +2024-10-29 15:13:48,436 - lightrag - INFO - get_node:query:MATCH (n:`THE FLANNEL BAG`) RETURN n:result: +2024-10-29 15:13:48,527 - lightrag - INFO - get_node:query:MATCH (n:`THE YOUNG GIRL`) RETURN n:result: +2024-10-29 15:13:48,615 - lightrag - INFO - get_node:query:MATCH (n:`A CHRISTMAS CAROL`) RETURN n:result: +2024-10-29 15:13:48,706 - lightrag - INFO - get_node:query:MATCH (n:`THE CITY`) RETURN n:result:"The City represents the bustling urban environment where Scrooge reflects on his past, filled with activity and shadowy figures.""The City, from which Scrooge is transported, represents his past life and is contrasted with the open country road that signifies his memories."', 'source_id': 'chunk-bb21d58d36c6306fd8810ddd51c4a971chunk-c6c248858d1b13ab7ee9ca13c1aeed6bchunk-74e2466de2f67fd710ef2f20c0a8d9e0'}> +2024-10-29 15:13:48,798 - lightrag - INFO - get_node:query:MATCH (n:`GHOST`) RETURN n:result:"The Ghost refers to the spirit guiding Scrooge, embodying the themes of memory and reflection on the joys of Christmas.""The Ghost represents a spiritual guide that takes Scrooge on a journey to learn important lessons about compassion and humanity.""The Ghost serves as a supernatural guide for Scrooge, prompting him to reflect on his life and choices."', 'source_id': 'chunk-503f0bfa5453467c7c61d160a3540ecachunk-c6c248858d1b13ab7ee9ca13c1aeed6bchunk-e7637ff18c5ded77a68cce0a87883fadchunk-43c9bee23adfa77aa9dedd22401bba7d'}> +2024-10-29 15:13:48,888 - lightrag - INFO - get_node:query:MATCH (n:`MERCILESS CREDITOR`) RETURN n:result: +2024-10-29 15:13:48,975 - lightrag - INFO - get_node:query:MATCH (n:`THE SPIRITS`) RETURN n:result:"The Spirits represent the past, present, and future in Scrooge\'s life, guiding him toward redemption and self-reflection."', 'source_id': 'chunk-90b95db5c53e4364a6bee36b7aa4d70fchunk-cb661c37436355ccec2769b1d0350c5f'}> +2024-10-29 15:13:49,065 - lightrag - INFO - get_node:query:MATCH (n:`THE MOTHER`) RETURN n:result:"The Mother is a character associated with the family dynamics during the Christmas scene, though her actions are not explicitly detailed.""The Mother is depicted as a comely matron, who enjoys the laughter and chaos with her children, showing warmth and family value."', 'source_id': 'chunk-da2472b4ef2a535b62908f14d0fb0ca9chunk-83ac129dc9b56f84c46760d153d68e93chunk-54bdd22db1f84a965b5f4c06c9216d8d'}> +2024-10-29 15:13:49,153 - lightrag - INFO - get_node:query:MATCH (n:`LIGHT`) RETURN n:result: +2024-10-29 15:13:49,272 - lightrag - INFO - get_node:query:MATCH (n:`TWO YOUNG CRATCHITS`) RETURN n:result: +2024-10-29 15:13:49,358 - lightrag - INFO - get_node:query:MATCH (n:`JOE`) RETURN n:result:"Joe is a marine-store dealer depicted as receiving stolen goods, illustrating the consequences of crime and the darker sides of society.""Joe is portrayed as a character engaged in a conversation about the deceased, displaying a mix of humor and practicality in dealing with the possessions of the dead."', 'source_id': 'chunk-89777b838d5447c7bd1ec11282c4ee89chunk-9e3921da66da5d761ab73cd849af6c43chunk-e1f29eeadc1d8ab46dc8a0bbd3c56b64'}> +2024-10-29 15:13:49,498 - lightrag - INFO - _find_node_degree:query: + MATCH (n:`EMOTION`) + RETURN COUNT{ (n)--() } AS totalEdgeCount + :result:0 +2024-10-29 15:13:49,672 - lightrag - INFO - _find_node_degree:query: + MATCH (n:`DARKNESS`) + RETURN COUNT{ (n)--() } AS totalEdgeCount + :result:1 +2024-10-29 15:13:49,842 - lightrag - INFO - _find_node_degree:query: + MATCH (n:`THE PHANTOM`) + RETURN COUNT{ (n)--() } AS totalEdgeCount + :result:2 +2024-10-29 15:13:50,017 - lightrag - INFO - _find_node_degree:query: + MATCH (n:`THE COSMIC SIGNIFICANCE`) + RETURN COUNT{ (n)--() } AS totalEdgeCount + :result:0 +2024-10-29 15:13:50,186 - lightrag - INFO - _find_node_degree:query: + MATCH (n:`CHRISTMAS HOLIDAYS`) + RETURN COUNT{ (n)--() } AS totalEdgeCount + :result:0 +2024-10-29 15:13:50,389 - lightrag - INFO - _find_node_degree:query: + MATCH (n:`PONDEROUS CHAIN`) + RETURN COUNT{ (n)--() } AS totalEdgeCount + :result:0 +2024-10-29 15:13:50,565 - lightrag - INFO - _find_node_degree:query: + MATCH (n:`HUMANITY`) + RETURN COUNT{ (n)--() } AS totalEdgeCount + :result:1 +2024-10-29 15:13:50,735 - lightrag - INFO - _find_node_degree:query: + MATCH (n:`CHRISTMAS`) + RETURN COUNT{ (n)--() } AS totalEdgeCount + :result:18 +2024-10-29 15:13:50,905 - lightrag - INFO - _find_node_degree:query: + MATCH (n:`DEATH`) + RETURN COUNT{ (n)--() } AS totalEdgeCount + :result:3 +2024-10-29 15:13:51,084 - lightrag - INFO - _find_node_degree:query: + MATCH (n:`SCROOGE`) + RETURN COUNT{ (n)--() } AS totalEdgeCount + :result:100 +2024-10-29 15:13:51,258 - lightrag - INFO - _find_node_degree:query: + MATCH (n:`RUSTY KEYS, NAILS, CHAINS, HINGES`) + RETURN COUNT{ (n)--() } AS totalEdgeCount + :result:1 +2024-10-29 15:13:51,429 - lightrag - INFO - _find_node_degree:query: + MATCH (n:`THE PENANCE`) + RETURN COUNT{ (n)--() } AS totalEdgeCount + :result:0 +2024-10-29 15:13:51,604 - lightrag - INFO - _find_node_degree:query: + MATCH (n:`MAN`) + RETURN COUNT{ (n)--() } AS totalEdgeCount + :result:1 +2024-10-29 15:13:51,784 - lightrag - INFO - _find_node_degree:query: + MATCH (n:`THE SCHOOLMASTER`) + RETURN COUNT{ (n)--() } AS totalEdgeCount + :result:1 +2024-10-29 15:13:51,963 - lightrag - INFO - _find_node_degree:query: + MATCH (n:`THE GRAVE`) + RETURN COUNT{ (n)--() } AS totalEdgeCount + :result:1 +2024-10-29 15:13:52,135 - lightrag - INFO - _find_node_degree:query: + MATCH (n:`KEYHOLE`) + RETURN COUNT{ (n)--() } AS totalEdgeCount + :result:0 +2024-10-29 15:13:52,305 - lightrag - INFO - _find_node_degree:query: + MATCH (n:`SCHOOL`) + RETURN COUNT{ (n)--() } AS totalEdgeCount + :result:2 +2024-10-29 15:13:52,476 - lightrag - INFO - _find_node_degree:query: + MATCH (n:`THE CHAIN`) + RETURN COUNT{ (n)--() } AS totalEdgeCount + :result:0 +2024-10-29 15:13:52,650 - lightrag - INFO - _find_node_degree:query: + MATCH (n:`THE THREE SPIRITS`) + RETURN COUNT{ (n)--() } AS totalEdgeCount + :result:1 +2024-10-29 15:13:52,822 - lightrag - INFO - _find_node_degree:query: + MATCH (n:`THE COLD`) + RETURN COUNT{ (n)--() } AS totalEdgeCount + :result:1 +2024-10-29 15:13:52,998 - lightrag - INFO - _find_node_degree:query: + MATCH (n:`DEEDS`) + RETURN COUNT{ (n)--() } AS totalEdgeCount + :result:0 +2024-10-29 15:13:53,170 - lightrag - INFO - _find_node_degree:query: + MATCH (n:`THE BLESSED STAR`) + RETURN COUNT{ (n)--() } AS totalEdgeCount + :result:0 +2024-10-29 15:13:53,341 - lightrag - INFO - _find_node_degree:query: + MATCH (n:`THE CANDLE`) + RETURN COUNT{ (n)--() } AS totalEdgeCount + :result:1 +2024-10-29 15:13:53,514 - lightrag - INFO - _find_node_degree:query: + MATCH (n:`FROST`) + RETURN COUNT{ (n)--() } AS totalEdgeCount + :result:1 +2024-10-29 15:13:53,691 - lightrag - INFO - _find_node_degree:query: + MATCH (n:`THE TRANSPARENT WINDOW`) + RETURN COUNT{ (n)--() } AS totalEdgeCount + :result:0 +2024-10-29 15:13:53,865 - lightrag - INFO - _find_node_degree:query: + MATCH (n:`THE CANDLE-LIGHT`) + RETURN COUNT{ (n)--() } AS totalEdgeCount + :result:0 +2024-10-29 15:13:54,037 - lightrag - INFO - _find_node_degree:query: + MATCH (n:`POVERTY`) + RETURN COUNT{ (n)--() } AS totalEdgeCount + :result:1 +2024-10-29 15:13:54,212 - lightrag - INFO - _find_node_degree:query: + MATCH (n:`SUNDAY CLOTHES BOY`) + RETURN COUNT{ (n)--() } AS totalEdgeCount + :result:1 +2024-10-29 15:13:54,378 - lightrag - INFO - _find_node_degree:query: + MATCH (n:`THE SOLITARY CHILD`) + RETURN COUNT{ (n)--() } AS totalEdgeCount + :result:0 +2024-10-29 15:13:54,555 - lightrag - INFO - _find_node_degree:query: + MATCH (n:`CITY`) + RETURN COUNT{ (n)--() } AS totalEdgeCount + :result:1 +2024-10-29 15:13:54,731 - lightrag - INFO - _find_node_degree:query: + MATCH (n:`FEARFUL PLACE`) + RETURN COUNT{ (n)--() } AS totalEdgeCount + :result:0 +2024-10-29 15:13:54,902 - lightrag - INFO - _find_node_degree:query: + MATCH (n:`IRON CABLE`) + RETURN COUNT{ (n)--() } AS totalEdgeCount + :result:0 +2024-10-29 15:13:55,072 - lightrag - INFO - _find_node_degree:query: + MATCH (n:`SPIRIT`) + RETURN COUNT{ (n)--() } AS totalEdgeCount + :result:9 +2024-10-29 15:13:55,247 - lightrag - INFO - _find_node_degree:query: + MATCH (n:`THE SETTING SUN`) + RETURN COUNT{ (n)--() } AS totalEdgeCount + :result:1 +2024-10-29 15:13:55,417 - lightrag - INFO - _find_node_degree:query: + MATCH (n:`KEYS`) + RETURN COUNT{ (n)--() } AS totalEdgeCount + :result:0 +2024-10-29 15:13:55,586 - lightrag - INFO - _find_node_degree:query: + MATCH (n:`THE CLOTHES AND ITEMS`) + RETURN COUNT{ (n)--() } AS totalEdgeCount + :result:0 +2024-10-29 15:13:55,761 - lightrag - INFO - _find_node_degree:query: + MATCH (n:`AVARICE`) + RETURN COUNT{ (n)--() } AS totalEdgeCount + :result:0 +2024-10-29 15:13:55,932 - lightrag - INFO - _find_node_degree:query: + MATCH (n:`THE FIREPLACE`) + RETURN COUNT{ (n)--() } AS totalEdgeCount + :result:0 +2024-10-29 15:13:56,104 - lightrag - INFO - _find_node_degree:query: + MATCH (n:`WANT`) + RETURN COUNT{ (n)--() } AS totalEdgeCount + :result:1 +2024-10-29 15:13:56,274 - lightrag - INFO - _find_node_degree:query: + MATCH (n:`THE DAUGHTER`) + RETURN COUNT{ (n)--() } AS totalEdgeCount + :result:1 +2024-10-29 15:13:56,448 - lightrag - INFO - _find_node_degree:query: + MATCH (n:`CHRISTMAS-TIME`) + RETURN COUNT{ (n)--() } AS totalEdgeCount + :result:2 +2024-10-29 15:13:56,617 - lightrag - INFO - _find_node_degree:query: + MATCH (n:`THE BED`) + RETURN COUNT{ (n)--() } AS totalEdgeCount + :result:1 +2024-10-29 15:13:56,795 - lightrag - INFO - _find_node_degree:query: + MATCH (n:`SHADOW OF HIMSELF`) + RETURN COUNT{ (n)--() } AS totalEdgeCount + :result:1 +2024-10-29 15:13:56,966 - lightrag - INFO - _find_node_degree:query: + MATCH (n:`KIND WORD`) + RETURN COUNT{ (n)--() } AS totalEdgeCount + :result:0 +2024-10-29 15:13:57,141 - lightrag - INFO - _find_node_degree:query: + MATCH (n:`GAOL`) + RETURN COUNT{ (n)--() } AS totalEdgeCount + :result:1 +2024-10-29 15:13:57,314 - lightrag - INFO - _find_node_degree:query: + MATCH (n:`IGNORANCE`) + RETURN COUNT{ (n)--() } AS totalEdgeCount + :result:3 +2024-10-29 15:13:57,494 - lightrag - INFO - _find_node_degree:query: + MATCH (n:`CHILDREN`) + RETURN COUNT{ (n)--() } AS totalEdgeCount + :result:2 +2024-10-29 15:13:57,670 - lightrag - INFO - _find_node_degree:query: + MATCH (n:`THE ROOM BY DAYLIGHT`) + RETURN COUNT{ (n)--() } AS totalEdgeCount + :result:0 +2024-10-29 15:13:57,844 - lightrag - INFO - _find_node_degree:query: + MATCH (n:`THE BOTTLE`) + RETURN COUNT{ (n)--() } AS totalEdgeCount + :result:0 +2024-10-29 15:13:58,021 - lightrag - INFO - _find_node_degree:query: + MATCH (n:`THE FLANNEL BAG`) + RETURN COUNT{ (n)--() } AS totalEdgeCount + :result:0 +2024-10-29 15:13:58,197 - lightrag - INFO - _find_node_degree:query: + MATCH (n:`THE YOUNG GIRL`) + RETURN COUNT{ (n)--() } AS totalEdgeCount + :result:1 +2024-10-29 15:13:58,367 - lightrag - INFO - _find_node_degree:query: + MATCH (n:`A CHRISTMAS CAROL`) + RETURN COUNT{ (n)--() } AS totalEdgeCount + :result:3 +2024-10-29 15:13:58,536 - lightrag - INFO - _find_node_degree:query: + MATCH (n:`THE CITY`) + RETURN COUNT{ (n)--() } AS totalEdgeCount + :result:3 +2024-10-29 15:13:58,706 - lightrag - INFO - _find_node_degree:query: + MATCH (n:`GHOST`) + RETURN COUNT{ (n)--() } AS totalEdgeCount + :result:3 +2024-10-29 15:13:58,880 - lightrag - INFO - _find_node_degree:query: + MATCH (n:`MERCILESS CREDITOR`) + RETURN COUNT{ (n)--() } AS totalEdgeCount + :result:0 +2024-10-29 15:13:59,052 - lightrag - INFO - _find_node_degree:query: + MATCH (n:`THE SPIRITS`) + RETURN COUNT{ (n)--() } AS totalEdgeCount + :result:1 +2024-10-29 15:13:59,222 - lightrag - INFO - _find_node_degree:query: + MATCH (n:`THE MOTHER`) + RETURN COUNT{ (n)--() } AS totalEdgeCount + :result:2 +2024-10-29 15:13:59,393 - lightrag - INFO - _find_node_degree:query: + MATCH (n:`LIGHT`) + RETURN COUNT{ (n)--() } AS totalEdgeCount + :result:1 +2024-10-29 15:13:59,574 - lightrag - INFO - _find_node_degree:query: + MATCH (n:`TWO YOUNG CRATCHITS`) + RETURN COUNT{ (n)--() } AS totalEdgeCount + :result:0 +2024-10-29 15:13:59,744 - lightrag - INFO - _find_node_degree:query: + MATCH (n:`JOE`) + RETURN COUNT{ (n)--() } AS totalEdgeCount + :result:2 +2024-10-29 15:15:04,929 - lightrag - INFO - Logger initialized for working directory: ./neo4jWorkDir +2024-10-29 15:15:04,929 - lightrag - DEBUG - LightRAG init with param: + working_dir = ./neo4jWorkDir, + chunk_token_size = 1200, + chunk_overlap_token_size = 100, + tiktoken_model_name = gpt-4o-mini, + entity_extract_max_gleaning = 1, + entity_summary_to_max_tokens = 500, + node_embedding_algorithm = node2vec, + node2vec_params = {'dimensions': 1536, 'num_walks': 10, 'walk_length': 40, 'window_size': 2, 'iterations': 3, 'random_seed': 3}, + embedding_func = {'embedding_dim': 1536, 'max_token_size': 8192, 'func': }, + embedding_batch_num = 32, + embedding_func_max_async = 16, + llm_model_func = , + llm_model_name = meta-llama/Llama-3.2-1B-Instruct, + llm_model_max_token_size = 32768, + llm_model_max_async = 16, + key_string_value_json_storage_cls = , + vector_db_storage_cls = , + vector_db_storage_cls_kwargs = {}, + graph_storage_cls = , + enable_llm_cache = True, + addon_params = {}, + convert_response_to_json_func = + +2024-10-29 15:15:04,930 - lightrag - INFO - Load KV full_docs with 1 data +2024-10-29 15:15:04,931 - lightrag - INFO - Load KV text_chunks with 42 data +2024-10-29 15:15:04,932 - lightrag - INFO - Load KV llm_response_cache with 88 data +2024-10-29 15:15:04,956 - lightrag - INFO - Creating a new event loop in a sub-thread. +2024-10-29 15:15:04,957 - lightrag - WARNING - All docs are already in the storage +2024-10-29 15:15:04,981 - lightrag - INFO - Creating a new event loop in a sub-thread. +2024-10-29 15:15:05,564 - lightrag - INFO - Truncate 39 to 3 chunks +2024-10-29 15:15:05,569 - lightrag - INFO - Creating a new event loop in a sub-thread. +2024-10-29 15:15:06,515 - lightrag - INFO - get_node:query:MATCH (n:`EMOTION`) RETURN n:result: +2024-10-29 15:15:06,605 - lightrag - INFO - get_node:query:MATCH (n:`DARKNESS`) RETURN n:result: +2024-10-29 15:15:06,697 - lightrag - INFO - get_node:query:MATCH (n:`THE PHANTOM`) RETURN n:result: +2024-10-29 15:15:06,791 - lightrag - INFO - get_node:query:MATCH (n:`THE COSMIC SIGNIFICANCE`) RETURN n:result: +2024-10-29 15:15:06,881 - lightrag - INFO - get_node:query:MATCH (n:`CHRISTMAS HOLIDAYS`) RETURN n:result: +2024-10-29 15:15:06,972 - lightrag - INFO - get_node:query:MATCH (n:`PONDEROUS CHAIN`) RETURN n:result: +2024-10-29 15:15:07,063 - lightrag - INFO - get_node:query:MATCH (n:`HUMANITY`) RETURN n:result: +2024-10-29 15:15:07,150 - lightrag - INFO - get_node:query:MATCH (n:`CHRISTMAS`) RETURN n:result:"Christmas is a festive occasion that has led to a joyful transformation in Scrooge\'s character and actions.""Christmas is a festive time celebrated by the Cratchit family, symbolizing joy, family togetherness, and generosity.""Christmas is a significant holiday that serves as the backdrop for Scrooge\'s transformation and the events that unfold during the narrative.""Christmas is a significant holiday that triggers Scrooge\'s memories and reflections on joy, loneliness, and his past.""Christmas is central to the text, symbolizing generosity, charity, and warmth that Scrooge rejects.""Christmas is depicted as a festive season when charity and social duty are emphasized, contrasting with Scrooge\'s values.""Christmas is depicted as a time associated with joy and abundance, contrasting with Scrooge\'s initial views.""Christmas is depicted as a time of joy and communal spirit, marked by people\'s activities and interactions in the streets.""Christmas is depicted as a time of joy and generosity, contrasting sharply with Scrooge\'s past behavior and current solitude.""Christmas is portrayed as a festive time that Scrooge dismisses, emphasizing the contrast between joy and his miserable attitude.""Christmas is portrayed as a time of joy, reflection, and connection, emphasizing the positive impact of the holiday spirit on individuals and communities.""Christmas is presented as a time for merriment and social gatherings, which Scrooge\'s nephew advocates for despite his uncle\'s opposition.""Christmas is the central holiday during which the events unfold, leading to significant character transformations and themes of generosity.""Christmas is the season during which festive activities and celebrations are occurring, including dances and gatherings.""Christmas represents a time of reflection and change for Scrooge, emphasizing themes of redemption.""Christmas serves as a thematic backdrop for the story, symbolizing redemption, generosity, and the spirit of giving."', 'source_id': 'chunk-91614df5cb74cbe5e109a338a82041e9chunk-503f0bfa5453467c7c61d160a3540ecachunk-773d0df1dd25c356f7b771d780583e09chunk-8f738cb25d60a7dab782162d9d0a25edchunk-e7637ff18c5ded77a68cce0a87883fadchunk-8590d9263cd2cd4fa583c432fc54e6c3chunk-54bdd22db1f84a965b5f4c06c9216d8dchunk-02baee20cc9463dbe08170a8e1043e32chunk-90d5764e301321c087f5a8f78b73a145chunk-91572b3cd42786ba4cb2f180ca25cbf4chunk-1d4b58de5429cd1261370c231c8673e8chunk-da2472b4ef2a535b62908f14d0fb0ca9chunk-94bea83e7153fc2064aa382b494936a1chunk-89777b838d5447c7bd1ec11282c4ee89chunk-99b0ec7f7e006561352b5d65e849611dchunk-74e2466de2f67fd710ef2f20c0a8d9e0chunk-5dac41b3f9eeaf794f0147400b1718cd'}> +2024-10-29 15:15:07,238 - lightrag - INFO - get_node:query:MATCH (n:`DEATH`) RETURN n:result:"Death is described as a powerful force in the narrative, represented through the imagery of a cold, rigid presence and the contemplation of mortality.""Death refers to the passing of a character that triggers a range of emotions and reflections among the living, influencing their lives and relationships."', 'source_id': 'chunk-e1f29eeadc1d8ab46dc8a0bbd3c56b64chunk-83ac129dc9b56f84c46760d153d68e93chunk-02baee20cc9463dbe08170a8e1043e32'}> +2024-10-29 15:15:07,332 - lightrag - INFO - get_node:query:MATCH (n:`SCROOGE`) RETURN n:result:chunk-b2f98bc7abb0c67d4c86055c7fd72218chunk-91614df5cb74cbe5e109a338a82041e9chunk-8f738cb25d60a7dab782162d9d0a25edchunk-e7637ff18c5ded77a68cce0a87883fadchunk-d9aac3484185ac66045df92214d245d5chunk-90b95db5c53e4364a6bee36b7aa4d70fchunk-89777b838d5447c7bd1ec11282c4ee89chunk-c6c248858d1b13ab7ee9ca13c1aeed6bchunk-5dac41b3f9eeaf794f0147400b1718cdchunk-773d0df1dd25c356f7b771d780583e09chunk-843b5b2f944c7413d9ca876e2e2f151fchunk-f1a4fbcf1ed86864b9bfd5e8dba4c683chunk-359187e7571bda4b0b08b2e0b6581e52chunk-503f0bfa5453467c7c61d160a3540ecachunk-9c43dac2fcd5b578242d907ea6f8fc7bchunk-b0f459f5af1c3a5e0b92cbe4ee48b77bchunk-1aa50206d02ed89418f65f97c6441d1cchunk-54bdd22db1f84a965b5f4c06c9216d8dchunk-cb661c37436355ccec2769b1d0350c5fchunk-90d5764e301321c087f5a8f78b73a145chunk-91572b3cd42786ba4cb2f180ca25cbf4chunk-da2472b4ef2a535b62908f14d0fb0ca9chunk-99b0ec7f7e006561352b5d65e849611dchunk-43c9bee23adfa77aa9dedd22401bba7dchunk-83ac129dc9b56f84c46760d153d68e93chunk-e1f29eeadc1d8ab46dc8a0bbd3c56b64chunk-8590d9263cd2cd4fa583c432fc54e6c3chunk-02baee20cc9463dbe08170a8e1043e32chunk-94bea83e7153fc2064aa382b494936a1chunk-74e2466de2f67fd710ef2f20c0a8d9e0chunk-19d72c57ae3408758b18d2568e86dc6b'}> +2024-10-29 15:15:07,425 - lightrag - INFO - get_node:query:MATCH (n:`RUSTY KEYS, NAILS, CHAINS, HINGES`) RETURN n:result: +2024-10-29 15:15:07,514 - lightrag - INFO - get_node:query:MATCH (n:`THE PENANCE`) RETURN n:result: +2024-10-29 15:15:07,603 - lightrag - INFO - get_node:query:MATCH (n:`MAN`) RETURN n:result: +2024-10-29 15:15:07,690 - lightrag - INFO - get_node:query:MATCH (n:`THE SCHOOLMASTER`) RETURN n:result: +2024-10-29 15:15:07,781 - lightrag - INFO - get_node:query:MATCH (n:`THE GRAVE`) RETURN n:result: +2024-10-29 15:15:07,871 - lightrag - INFO - get_node:query:MATCH (n:`KEYHOLE`) RETURN n:result: +2024-10-29 15:15:07,966 - lightrag - INFO - get_node:query:MATCH (n:`SCHOOL`) RETURN n:result: +2024-10-29 15:15:08,056 - lightrag - INFO - get_node:query:MATCH (n:`THE CHAIN`) RETURN n:result:"The Chain symbolizes the burdens of the past that haunt the spirits, showcasing the consequences of one\'s actions in life."', 'source_id': 'chunk-359187e7571bda4b0b08b2e0b6581e52chunk-cb661c37436355ccec2769b1d0350c5f'}> +2024-10-29 15:15:08,143 - lightrag - INFO - get_node:query:MATCH (n:`THE THREE SPIRITS`) RETURN n:result: +2024-10-29 15:15:08,231 - lightrag - INFO - get_node:query:MATCH (n:`THE COLD`) RETURN n:result: +2024-10-29 15:15:08,319 - lightrag - INFO - get_node:query:MATCH (n:`DEEDS`) RETURN n:result: +2024-10-29 15:15:08,415 - lightrag - INFO - get_node:query:MATCH (n:`THE BLESSED STAR`) RETURN n:result: +2024-10-29 15:15:08,506 - lightrag - INFO - get_node:query:MATCH (n:`THE CANDLE`) RETURN n:result: +2024-10-29 15:15:08,598 - lightrag - INFO - get_node:query:MATCH (n:`FROST`) RETURN n:result: +2024-10-29 15:15:08,686 - lightrag - INFO - get_node:query:MATCH (n:`THE TRANSPARENT WINDOW`) RETURN n:result: +2024-10-29 15:15:08,775 - lightrag - INFO - get_node:query:MATCH (n:`THE CANDLE-LIGHT`) RETURN n:result: +2024-10-29 15:15:08,860 - lightrag - INFO - get_node:query:MATCH (n:`POVERTY`) RETURN n:result: +2024-10-29 15:15:08,949 - lightrag - INFO - get_node:query:MATCH (n:`SUNDAY CLOTHES BOY`) RETURN n:result: +2024-10-29 15:15:09,038 - lightrag - INFO - get_node:query:MATCH (n:`THE SOLITARY CHILD`) RETURN n:result: +2024-10-29 15:15:09,127 - lightrag - INFO - get_node:query:MATCH (n:`CITY`) RETURN n:result:"The City represents the urban setting where Scrooge witnesses the indifference of its inhabitants regarding his death.""The City represents the urban setting where Scrooge\'s transformation takes place, symbolizing the broader society impacted by his changes."', 'source_id': 'chunk-843b5b2f944c7413d9ca876e2e2f151fchunk-94bea83e7153fc2064aa382b494936a1chunk-02baee20cc9463dbe08170a8e1043e32'}> +2024-10-29 15:15:09,218 - lightrag - INFO - get_node:query:MATCH (n:`FEARFUL PLACE`) RETURN n:result: +2024-10-29 15:15:09,308 - lightrag - INFO - get_node:query:MATCH (n:`IRON CABLE`) RETURN n:result: +2024-10-29 15:15:09,397 - lightrag - INFO - get_node:query:MATCH (n:`SPIRIT`) RETURN n:result:"The Spirit embodies the lessons of compassion and social responsibility, guiding Scrooge through his reflections and realizations.""The Spirit is the manifestation of Scrooge\'s past that guides him through his memories, representing his former self and the influence of time.""The Spirit represents a ghostly entity, guiding Scrooge through visions of potential future events and urging him to acknowledge societal issues.""The Spirit represents a supernatural entity guiding Scrooge through his reflections on life, death, and human emotions, prompting self-awareness.""The Spirit represents the embodiment of the Christmas present, personifying the themes of generosity and merriment."', 'source_id': 'chunk-bb21d58d36c6306fd8810ddd51c4a971chunk-83ac129dc9b56f84c46760d153d68e93chunk-e7637ff18c5ded77a68cce0a87883fadchunk-843b5b2f944c7413d9ca876e2e2f151fchunk-1aa50206d02ed89418f65f97c6441d1cchunk-02baee20cc9463dbe08170a8e1043e32'}> +2024-10-29 15:15:09,490 - lightrag - INFO - get_node:query:MATCH (n:`THE SETTING SUN`) RETURN n:result: +2024-10-29 15:15:09,580 - lightrag - INFO - get_node:query:MATCH (n:`KEYS`) RETURN n:result: +2024-10-29 15:15:09,668 - lightrag - INFO - get_node:query:MATCH (n:`THE CLOTHES AND ITEMS`) RETURN n:result: +2024-10-29 15:15:09,759 - lightrag - INFO - get_node:query:MATCH (n:`AVARICE`) RETURN n:result: +2024-10-29 15:15:09,850 - lightrag - INFO - get_node:query:MATCH (n:`THE FIREPLACE`) RETURN n:result: +2024-10-29 15:15:09,945 - lightrag - INFO - get_node:query:MATCH (n:`WANT`) RETURN n:result: +2024-10-29 15:15:10,037 - lightrag - INFO - get_node:query:MATCH (n:`THE DAUGHTER`) RETURN n:result: +2024-10-29 15:15:10,128 - lightrag - INFO - get_node:query:MATCH (n:`CHRISTMAS-TIME`) RETURN n:result:"Christmas-time represents the festive season, a recurring theme that evokes memories and emotions in Scrooge’s reflections.""Christmas-time serves as a backdrop for the narrative, emphasizing themes of reflection, mortality, and social interactions."', 'source_id': 'chunk-f1a4fbcf1ed86864b9bfd5e8dba4c683chunk-c6c248858d1b13ab7ee9ca13c1aeed6bchunk-5dac41b3f9eeaf794f0147400b1718cd'}> +2024-10-29 15:15:10,222 - lightrag - INFO - get_node:query:MATCH (n:`THE BED`) RETURN n:result: +2024-10-29 15:15:10,313 - lightrag - INFO - get_node:query:MATCH (n:`SHADOW OF HIMSELF`) RETURN n:result: +2024-10-29 15:15:10,399 - lightrag - INFO - get_node:query:MATCH (n:`KIND WORD`) RETURN n:result: +2024-10-29 15:15:10,488 - lightrag - INFO - get_node:query:MATCH (n:`GAOL`) RETURN n:result: +2024-10-29 15:15:10,577 - lightrag - INFO - get_node:query:MATCH (n:`IGNORANCE`) RETURN n:result:"Ignorance is personified as a boy that symbolizes the dangers of ignoring social issues and the consequences of a lack of awareness."', 'source_id': 'chunk-02baee20cc9463dbe08170a8e1043e32chunk-e7637ff18c5ded77a68cce0a87883fad'}> +2024-10-29 15:15:10,667 - lightrag - INFO - get_node:query:MATCH (n:`CHILDREN`) RETURN n:result:"The Children represent the joyful, carefree aspects of Scrooge\'s past, embodying happiness and the innocence of youth that he has long forgotten."', 'source_id': 'chunk-bb21d58d36c6306fd8810ddd51c4a971chunk-e7637ff18c5ded77a68cce0a87883fad'}> +2024-10-29 15:15:10,759 - lightrag - INFO - get_node:query:MATCH (n:`THE ROOM BY DAYLIGHT`) RETURN n:result: +2024-10-29 15:15:10,851 - lightrag - INFO - get_node:query:MATCH (n:`THE BOTTLE`) RETURN n:result: +2024-10-29 15:15:10,945 - lightrag - INFO - get_node:query:MATCH (n:`THE FLANNEL BAG`) RETURN n:result: +2024-10-29 15:15:11,038 - lightrag - INFO - get_node:query:MATCH (n:`THE YOUNG GIRL`) RETURN n:result: +2024-10-29 15:15:11,129 - lightrag - INFO - get_node:query:MATCH (n:`A CHRISTMAS CAROL`) RETURN n:result: +2024-10-29 15:15:11,221 - lightrag - INFO - get_node:query:MATCH (n:`THE CITY`) RETURN n:result:"The City represents the bustling urban environment where Scrooge reflects on his past, filled with activity and shadowy figures.""The City, from which Scrooge is transported, represents his past life and is contrasted with the open country road that signifies his memories."', 'source_id': 'chunk-bb21d58d36c6306fd8810ddd51c4a971chunk-c6c248858d1b13ab7ee9ca13c1aeed6bchunk-74e2466de2f67fd710ef2f20c0a8d9e0'}> +2024-10-29 15:15:11,314 - lightrag - INFO - get_node:query:MATCH (n:`GHOST`) RETURN n:result:"The Ghost refers to the spirit guiding Scrooge, embodying the themes of memory and reflection on the joys of Christmas.""The Ghost represents a spiritual guide that takes Scrooge on a journey to learn important lessons about compassion and humanity.""The Ghost serves as a supernatural guide for Scrooge, prompting him to reflect on his life and choices."', 'source_id': 'chunk-503f0bfa5453467c7c61d160a3540ecachunk-c6c248858d1b13ab7ee9ca13c1aeed6bchunk-e7637ff18c5ded77a68cce0a87883fadchunk-43c9bee23adfa77aa9dedd22401bba7d'}> +2024-10-29 15:15:11,409 - lightrag - INFO - get_node:query:MATCH (n:`MERCILESS CREDITOR`) RETURN n:result: +2024-10-29 15:15:11,500 - lightrag - INFO - get_node:query:MATCH (n:`THE SPIRITS`) RETURN n:result:"The Spirits represent the past, present, and future in Scrooge\'s life, guiding him toward redemption and self-reflection."', 'source_id': 'chunk-90b95db5c53e4364a6bee36b7aa4d70fchunk-cb661c37436355ccec2769b1d0350c5f'}> +2024-10-29 15:15:11,590 - lightrag - INFO - get_node:query:MATCH (n:`THE MOTHER`) RETURN n:result:"The Mother is a character associated with the family dynamics during the Christmas scene, though her actions are not explicitly detailed.""The Mother is depicted as a comely matron, who enjoys the laughter and chaos with her children, showing warmth and family value."', 'source_id': 'chunk-da2472b4ef2a535b62908f14d0fb0ca9chunk-83ac129dc9b56f84c46760d153d68e93chunk-54bdd22db1f84a965b5f4c06c9216d8d'}> +2024-10-29 15:15:11,680 - lightrag - INFO - get_node:query:MATCH (n:`LIGHT`) RETURN n:result: +2024-10-29 15:15:11,771 - lightrag - INFO - get_node:query:MATCH (n:`TWO YOUNG CRATCHITS`) RETURN n:result: +2024-10-29 15:15:11,865 - lightrag - INFO - get_node:query:MATCH (n:`JOE`) RETURN n:result:"Joe is a marine-store dealer depicted as receiving stolen goods, illustrating the consequences of crime and the darker sides of society.""Joe is portrayed as a character engaged in a conversation about the deceased, displaying a mix of humor and practicality in dealing with the possessions of the dead."', 'source_id': 'chunk-89777b838d5447c7bd1ec11282c4ee89chunk-9e3921da66da5d761ab73cd849af6c43chunk-e1f29eeadc1d8ab46dc8a0bbd3c56b64'}> +2024-10-29 15:15:12,016 - lightrag - INFO - _find_node_degree:query: + MATCH (n:`EMOTION`) + RETURN COUNT{ (n)--() } AS totalEdgeCount + :result:0 +2024-10-29 15:15:12,194 - lightrag - INFO - _find_node_degree:query: + MATCH (n:`DARKNESS`) + RETURN COUNT{ (n)--() } AS totalEdgeCount + :result:1 +2024-10-29 15:15:12,372 - lightrag - INFO - _find_node_degree:query: + MATCH (n:`THE PHANTOM`) + RETURN COUNT{ (n)--() } AS totalEdgeCount + :result:2 +2024-10-29 15:15:12,548 - lightrag - INFO - _find_node_degree:query: + MATCH (n:`THE COSMIC SIGNIFICANCE`) + RETURN COUNT{ (n)--() } AS totalEdgeCount + :result:0 +2024-10-29 15:15:12,719 - lightrag - INFO - _find_node_degree:query: + MATCH (n:`CHRISTMAS HOLIDAYS`) + RETURN COUNT{ (n)--() } AS totalEdgeCount + :result:0 +2024-10-29 15:15:12,893 - lightrag - INFO - _find_node_degree:query: + MATCH (n:`PONDEROUS CHAIN`) + RETURN COUNT{ (n)--() } AS totalEdgeCount + :result:0 +2024-10-29 15:15:13,064 - lightrag - INFO - _find_node_degree:query: + MATCH (n:`HUMANITY`) + RETURN COUNT{ (n)--() } AS totalEdgeCount + :result:1 +2024-10-29 15:15:13,239 - lightrag - INFO - _find_node_degree:query: + MATCH (n:`CHRISTMAS`) + RETURN COUNT{ (n)--() } AS totalEdgeCount + :result:18 +2024-10-29 15:15:13,418 - lightrag - INFO - _find_node_degree:query: + MATCH (n:`DEATH`) + RETURN COUNT{ (n)--() } AS totalEdgeCount + :result:3 +2024-10-29 15:15:13,599 - lightrag - INFO - _find_node_degree:query: + MATCH (n:`SCROOGE`) + RETURN COUNT{ (n)--() } AS totalEdgeCount + :result:100 +2024-10-29 15:15:13,771 - lightrag - INFO - _find_node_degree:query: + MATCH (n:`RUSTY KEYS, NAILS, CHAINS, HINGES`) + RETURN COUNT{ (n)--() } AS totalEdgeCount + :result:1 +2024-10-29 15:15:13,942 - lightrag - INFO - _find_node_degree:query: + MATCH (n:`THE PENANCE`) + RETURN COUNT{ (n)--() } AS totalEdgeCount + :result:0 +2024-10-29 15:15:14,119 - lightrag - INFO - _find_node_degree:query: + MATCH (n:`MAN`) + RETURN COUNT{ (n)--() } AS totalEdgeCount + :result:1 +2024-10-29 15:15:14,294 - lightrag - INFO - _find_node_degree:query: + MATCH (n:`THE SCHOOLMASTER`) + RETURN COUNT{ (n)--() } AS totalEdgeCount + :result:1 +2024-10-29 15:15:14,474 - lightrag - INFO - _find_node_degree:query: + MATCH (n:`THE GRAVE`) + RETURN COUNT{ (n)--() } AS totalEdgeCount + :result:1 +2024-10-29 15:15:14,648 - lightrag - INFO - _find_node_degree:query: + MATCH (n:`KEYHOLE`) + RETURN COUNT{ (n)--() } AS totalEdgeCount + :result:0 +2024-10-29 15:15:14,821 - lightrag - INFO - _find_node_degree:query: + MATCH (n:`SCHOOL`) + RETURN COUNT{ (n)--() } AS totalEdgeCount + :result:2 +2024-10-29 15:15:14,995 - lightrag - INFO - _find_node_degree:query: + MATCH (n:`THE CHAIN`) + RETURN COUNT{ (n)--() } AS totalEdgeCount + :result:0 +2024-10-29 15:15:15,173 - lightrag - INFO - _find_node_degree:query: + MATCH (n:`THE THREE SPIRITS`) + RETURN COUNT{ (n)--() } AS totalEdgeCount + :result:1 +2024-10-29 15:15:15,350 - lightrag - INFO - _find_node_degree:query: + MATCH (n:`THE COLD`) + RETURN COUNT{ (n)--() } AS totalEdgeCount + :result:1 +2024-10-29 15:15:15,528 - lightrag - INFO - _find_node_degree:query: + MATCH (n:`DEEDS`) + RETURN COUNT{ (n)--() } AS totalEdgeCount + :result:0 +2024-10-29 15:15:15,704 - lightrag - INFO - _find_node_degree:query: + MATCH (n:`THE BLESSED STAR`) + RETURN COUNT{ (n)--() } AS totalEdgeCount + :result:0 +2024-10-29 15:15:15,877 - lightrag - INFO - _find_node_degree:query: + MATCH (n:`THE CANDLE`) + RETURN COUNT{ (n)--() } AS totalEdgeCount + :result:1 +2024-10-29 15:15:16,054 - lightrag - INFO - _find_node_degree:query: + MATCH (n:`FROST`) + RETURN COUNT{ (n)--() } AS totalEdgeCount + :result:1 +2024-10-29 15:15:16,229 - lightrag - INFO - _find_node_degree:query: + MATCH (n:`THE TRANSPARENT WINDOW`) + RETURN COUNT{ (n)--() } AS totalEdgeCount + :result:0 +2024-10-29 15:15:16,406 - lightrag - INFO - _find_node_degree:query: + MATCH (n:`THE CANDLE-LIGHT`) + RETURN COUNT{ (n)--() } AS totalEdgeCount + :result:0 +2024-10-29 15:15:16,580 - lightrag - INFO - _find_node_degree:query: + MATCH (n:`POVERTY`) + RETURN COUNT{ (n)--() } AS totalEdgeCount + :result:1 +2024-10-29 15:15:16,753 - lightrag - INFO - _find_node_degree:query: + MATCH (n:`SUNDAY CLOTHES BOY`) + RETURN COUNT{ (n)--() } AS totalEdgeCount + :result:1 +2024-10-29 15:15:16,930 - lightrag - INFO - _find_node_degree:query: + MATCH (n:`THE SOLITARY CHILD`) + RETURN COUNT{ (n)--() } AS totalEdgeCount + :result:0 +2024-10-29 15:15:17,101 - lightrag - INFO - _find_node_degree:query: + MATCH (n:`CITY`) + RETURN COUNT{ (n)--() } AS totalEdgeCount + :result:1 +2024-10-29 15:15:17,275 - lightrag - INFO - _find_node_degree:query: + MATCH (n:`FEARFUL PLACE`) + RETURN COUNT{ (n)--() } AS totalEdgeCount + :result:0 +2024-10-29 15:15:17,453 - lightrag - INFO - _find_node_degree:query: + MATCH (n:`IRON CABLE`) + RETURN COUNT{ (n)--() } AS totalEdgeCount + :result:0 +2024-10-29 15:15:17,629 - lightrag - INFO - _find_node_degree:query: + MATCH (n:`SPIRIT`) + RETURN COUNT{ (n)--() } AS totalEdgeCount + :result:9 +2024-10-29 15:15:17,804 - lightrag - INFO - _find_node_degree:query: + MATCH (n:`THE SETTING SUN`) + RETURN COUNT{ (n)--() } AS totalEdgeCount + :result:1 +2024-10-29 15:15:17,996 - lightrag - INFO - _find_node_degree:query: + MATCH (n:`KEYS`) + RETURN COUNT{ (n)--() } AS totalEdgeCount + :result:0 +2024-10-29 15:15:18,193 - lightrag - INFO - _find_node_degree:query: + MATCH (n:`THE CLOTHES AND ITEMS`) + RETURN COUNT{ (n)--() } AS totalEdgeCount + :result:0 +2024-10-29 15:15:18,370 - lightrag - INFO - _find_node_degree:query: + MATCH (n:`AVARICE`) + RETURN COUNT{ (n)--() } AS totalEdgeCount + :result:0 +2024-10-29 15:15:18,545 - lightrag - INFO - _find_node_degree:query: + MATCH (n:`THE FIREPLACE`) + RETURN COUNT{ (n)--() } AS totalEdgeCount + :result:0 +2024-10-29 15:15:18,716 - lightrag - INFO - _find_node_degree:query: + MATCH (n:`WANT`) + RETURN COUNT{ (n)--() } AS totalEdgeCount + :result:1 +2024-10-29 15:15:18,889 - lightrag - INFO - _find_node_degree:query: + MATCH (n:`THE DAUGHTER`) + RETURN COUNT{ (n)--() } AS totalEdgeCount + :result:1 +2024-10-29 15:15:19,063 - lightrag - INFO - _find_node_degree:query: + MATCH (n:`CHRISTMAS-TIME`) + RETURN COUNT{ (n)--() } AS totalEdgeCount + :result:2 +2024-10-29 15:15:19,235 - lightrag - INFO - _find_node_degree:query: + MATCH (n:`THE BED`) + RETURN COUNT{ (n)--() } AS totalEdgeCount + :result:1 +2024-10-29 15:15:19,410 - lightrag - INFO - _find_node_degree:query: + MATCH (n:`SHADOW OF HIMSELF`) + RETURN COUNT{ (n)--() } AS totalEdgeCount + :result:1 +2024-10-29 15:15:19,591 - lightrag - INFO - _find_node_degree:query: + MATCH (n:`KIND WORD`) + RETURN COUNT{ (n)--() } AS totalEdgeCount + :result:0 +2024-10-29 15:15:19,767 - lightrag - INFO - _find_node_degree:query: + MATCH (n:`GAOL`) + RETURN COUNT{ (n)--() } AS totalEdgeCount + :result:1 +2024-10-29 15:15:19,941 - lightrag - INFO - _find_node_degree:query: + MATCH (n:`IGNORANCE`) + RETURN COUNT{ (n)--() } AS totalEdgeCount + :result:3 +2024-10-29 15:15:20,111 - lightrag - INFO - _find_node_degree:query: + MATCH (n:`CHILDREN`) + RETURN COUNT{ (n)--() } AS totalEdgeCount + :result:2 +2024-10-29 15:15:20,287 - lightrag - INFO - _find_node_degree:query: + MATCH (n:`THE ROOM BY DAYLIGHT`) + RETURN COUNT{ (n)--() } AS totalEdgeCount + :result:0 +2024-10-29 15:15:20,466 - lightrag - INFO - _find_node_degree:query: + MATCH (n:`THE BOTTLE`) + RETURN COUNT{ (n)--() } AS totalEdgeCount + :result:0 +2024-10-29 15:15:20,649 - lightrag - INFO - _find_node_degree:query: + MATCH (n:`THE FLANNEL BAG`) + RETURN COUNT{ (n)--() } AS totalEdgeCount + :result:0 +2024-10-29 15:15:20,826 - lightrag - INFO - _find_node_degree:query: + MATCH (n:`THE YOUNG GIRL`) + RETURN COUNT{ (n)--() } AS totalEdgeCount + :result:1 +2024-10-29 15:15:20,998 - lightrag - INFO - _find_node_degree:query: + MATCH (n:`A CHRISTMAS CAROL`) + RETURN COUNT{ (n)--() } AS totalEdgeCount + :result:3 +2024-10-29 15:15:21,172 - lightrag - INFO - _find_node_degree:query: + MATCH (n:`THE CITY`) + RETURN COUNT{ (n)--() } AS totalEdgeCount + :result:3 +2024-10-29 15:15:21,349 - lightrag - INFO - _find_node_degree:query: + MATCH (n:`GHOST`) + RETURN COUNT{ (n)--() } AS totalEdgeCount + :result:3 +2024-10-29 15:15:21,524 - lightrag - INFO - _find_node_degree:query: + MATCH (n:`MERCILESS CREDITOR`) + RETURN COUNT{ (n)--() } AS totalEdgeCount + :result:0 +2024-10-29 15:15:21,698 - lightrag - INFO - _find_node_degree:query: + MATCH (n:`THE SPIRITS`) + RETURN COUNT{ (n)--() } AS totalEdgeCount + :result:1 +2024-10-29 15:15:21,873 - lightrag - INFO - _find_node_degree:query: + MATCH (n:`THE MOTHER`) + RETURN COUNT{ (n)--() } AS totalEdgeCount + :result:2 +2024-10-29 15:15:22,045 - lightrag - INFO - _find_node_degree:query: + MATCH (n:`LIGHT`) + RETURN COUNT{ (n)--() } AS totalEdgeCount + :result:1 +2024-10-29 15:15:22,216 - lightrag - INFO - _find_node_degree:query: + MATCH (n:`TWO YOUNG CRATCHITS`) + RETURN COUNT{ (n)--() } AS totalEdgeCount + :result:0 +2024-10-29 15:15:22,391 - lightrag - INFO - _find_node_degree:query: + MATCH (n:`JOE`) + RETURN COUNT{ (n)--() } AS totalEdgeCount + :result:2 +2024-10-29 15:16:07,531 - lightrag - INFO - Logger initialized for working directory: ./neo4jWorkDir +2024-10-29 15:16:07,531 - lightrag - DEBUG - LightRAG init with param: + working_dir = ./neo4jWorkDir, + chunk_token_size = 1200, + chunk_overlap_token_size = 100, + tiktoken_model_name = gpt-4o-mini, + entity_extract_max_gleaning = 1, + entity_summary_to_max_tokens = 500, + node_embedding_algorithm = node2vec, + node2vec_params = {'dimensions': 1536, 'num_walks': 10, 'walk_length': 40, 'window_size': 2, 'iterations': 3, 'random_seed': 3}, + embedding_func = {'embedding_dim': 1536, 'max_token_size': 8192, 'func': }, + embedding_batch_num = 32, + embedding_func_max_async = 16, + llm_model_func = , + llm_model_name = meta-llama/Llama-3.2-1B-Instruct, + llm_model_max_token_size = 32768, + llm_model_max_async = 16, + key_string_value_json_storage_cls = , + vector_db_storage_cls = , + vector_db_storage_cls_kwargs = {}, + graph_storage_cls = , + enable_llm_cache = True, + addon_params = {}, + convert_response_to_json_func = + +2024-10-29 15:16:07,532 - lightrag - INFO - Load KV full_docs with 1 data +2024-10-29 15:16:07,532 - lightrag - INFO - Load KV text_chunks with 42 data +2024-10-29 15:16:07,533 - lightrag - INFO - Load KV llm_response_cache with 88 data +2024-10-29 15:16:07,553 - lightrag - INFO - Creating a new event loop in a sub-thread. +2024-10-29 15:16:07,554 - lightrag - WARNING - All docs are already in the storage +2024-10-29 15:16:07,575 - lightrag - INFO - Creating a new event loop in a sub-thread. +2024-10-29 15:16:08,355 - lightrag - INFO - Truncate 39 to 3 chunks +2024-10-29 15:16:08,365 - lightrag - INFO - Creating a new event loop in a sub-thread. +2024-10-29 15:16:09,254 - lightrag - INFO - get_node:query:MATCH (n:`EMOTION`) RETURN n:result: +2024-10-29 15:16:09,343 - lightrag - INFO - get_node:query:MATCH (n:`DARKNESS`) RETURN n:result: +2024-10-29 15:16:09,439 - lightrag - INFO - get_node:query:MATCH (n:`THE PHANTOM`) RETURN n:result: +2024-10-29 15:16:09,526 - lightrag - INFO - get_node:query:MATCH (n:`THE COSMIC SIGNIFICANCE`) RETURN n:result: +2024-10-29 15:16:09,628 - lightrag - INFO - get_node:query:MATCH (n:`CHRISTMAS HOLIDAYS`) RETURN n:result: +2024-10-29 15:16:09,720 - lightrag - INFO - get_node:query:MATCH (n:`PONDEROUS CHAIN`) RETURN n:result: +2024-10-29 15:16:09,814 - lightrag - INFO - get_node:query:MATCH (n:`HUMANITY`) RETURN n:result: +2024-10-29 15:16:09,903 - lightrag - INFO - get_node:query:MATCH (n:`CHRISTMAS`) RETURN n:result:"Christmas is a festive occasion that has led to a joyful transformation in Scrooge\'s character and actions.""Christmas is a festive time celebrated by the Cratchit family, symbolizing joy, family togetherness, and generosity.""Christmas is a significant holiday that serves as the backdrop for Scrooge\'s transformation and the events that unfold during the narrative.""Christmas is a significant holiday that triggers Scrooge\'s memories and reflections on joy, loneliness, and his past.""Christmas is central to the text, symbolizing generosity, charity, and warmth that Scrooge rejects.""Christmas is depicted as a festive season when charity and social duty are emphasized, contrasting with Scrooge\'s values.""Christmas is depicted as a time associated with joy and abundance, contrasting with Scrooge\'s initial views.""Christmas is depicted as a time of joy and communal spirit, marked by people\'s activities and interactions in the streets.""Christmas is depicted as a time of joy and generosity, contrasting sharply with Scrooge\'s past behavior and current solitude.""Christmas is portrayed as a festive time that Scrooge dismisses, emphasizing the contrast between joy and his miserable attitude.""Christmas is portrayed as a time of joy, reflection, and connection, emphasizing the positive impact of the holiday spirit on individuals and communities.""Christmas is presented as a time for merriment and social gatherings, which Scrooge\'s nephew advocates for despite his uncle\'s opposition.""Christmas is the central holiday during which the events unfold, leading to significant character transformations and themes of generosity.""Christmas is the season during which festive activities and celebrations are occurring, including dances and gatherings.""Christmas represents a time of reflection and change for Scrooge, emphasizing themes of redemption.""Christmas serves as a thematic backdrop for the story, symbolizing redemption, generosity, and the spirit of giving."', 'source_id': 'chunk-91614df5cb74cbe5e109a338a82041e9chunk-503f0bfa5453467c7c61d160a3540ecachunk-773d0df1dd25c356f7b771d780583e09chunk-8f738cb25d60a7dab782162d9d0a25edchunk-e7637ff18c5ded77a68cce0a87883fadchunk-8590d9263cd2cd4fa583c432fc54e6c3chunk-54bdd22db1f84a965b5f4c06c9216d8dchunk-02baee20cc9463dbe08170a8e1043e32chunk-90d5764e301321c087f5a8f78b73a145chunk-91572b3cd42786ba4cb2f180ca25cbf4chunk-1d4b58de5429cd1261370c231c8673e8chunk-da2472b4ef2a535b62908f14d0fb0ca9chunk-94bea83e7153fc2064aa382b494936a1chunk-89777b838d5447c7bd1ec11282c4ee89chunk-99b0ec7f7e006561352b5d65e849611dchunk-74e2466de2f67fd710ef2f20c0a8d9e0chunk-5dac41b3f9eeaf794f0147400b1718cd'}> +2024-10-29 15:16:09,993 - lightrag - INFO - get_node:query:MATCH (n:`DEATH`) RETURN n:result:"Death is described as a powerful force in the narrative, represented through the imagery of a cold, rigid presence and the contemplation of mortality.""Death refers to the passing of a character that triggers a range of emotions and reflections among the living, influencing their lives and relationships."', 'source_id': 'chunk-e1f29eeadc1d8ab46dc8a0bbd3c56b64chunk-83ac129dc9b56f84c46760d153d68e93chunk-02baee20cc9463dbe08170a8e1043e32'}> +2024-10-29 15:16:10,086 - lightrag - INFO - get_node:query:MATCH (n:`SCROOGE`) RETURN n:result:chunk-b2f98bc7abb0c67d4c86055c7fd72218chunk-91614df5cb74cbe5e109a338a82041e9chunk-8f738cb25d60a7dab782162d9d0a25edchunk-e7637ff18c5ded77a68cce0a87883fadchunk-d9aac3484185ac66045df92214d245d5chunk-90b95db5c53e4364a6bee36b7aa4d70fchunk-89777b838d5447c7bd1ec11282c4ee89chunk-c6c248858d1b13ab7ee9ca13c1aeed6bchunk-5dac41b3f9eeaf794f0147400b1718cdchunk-773d0df1dd25c356f7b771d780583e09chunk-843b5b2f944c7413d9ca876e2e2f151fchunk-f1a4fbcf1ed86864b9bfd5e8dba4c683chunk-359187e7571bda4b0b08b2e0b6581e52chunk-503f0bfa5453467c7c61d160a3540ecachunk-9c43dac2fcd5b578242d907ea6f8fc7bchunk-b0f459f5af1c3a5e0b92cbe4ee48b77bchunk-1aa50206d02ed89418f65f97c6441d1cchunk-54bdd22db1f84a965b5f4c06c9216d8dchunk-cb661c37436355ccec2769b1d0350c5fchunk-90d5764e301321c087f5a8f78b73a145chunk-91572b3cd42786ba4cb2f180ca25cbf4chunk-da2472b4ef2a535b62908f14d0fb0ca9chunk-99b0ec7f7e006561352b5d65e849611dchunk-43c9bee23adfa77aa9dedd22401bba7dchunk-83ac129dc9b56f84c46760d153d68e93chunk-e1f29eeadc1d8ab46dc8a0bbd3c56b64chunk-8590d9263cd2cd4fa583c432fc54e6c3chunk-02baee20cc9463dbe08170a8e1043e32chunk-94bea83e7153fc2064aa382b494936a1chunk-74e2466de2f67fd710ef2f20c0a8d9e0chunk-19d72c57ae3408758b18d2568e86dc6b'}> +2024-10-29 15:16:10,180 - lightrag - INFO - get_node:query:MATCH (n:`RUSTY KEYS, NAILS, CHAINS, HINGES`) RETURN n:result: +2024-10-29 15:16:10,272 - lightrag - INFO - get_node:query:MATCH (n:`THE PENANCE`) RETURN n:result: +2024-10-29 15:16:10,363 - lightrag - INFO - get_node:query:MATCH (n:`MAN`) RETURN n:result: +2024-10-29 15:16:10,456 - lightrag - INFO - get_node:query:MATCH (n:`THE SCHOOLMASTER`) RETURN n:result: +2024-10-29 15:16:10,551 - lightrag - INFO - get_node:query:MATCH (n:`THE GRAVE`) RETURN n:result: +2024-10-29 15:16:10,644 - lightrag - INFO - get_node:query:MATCH (n:`KEYHOLE`) RETURN n:result: +2024-10-29 15:16:10,737 - lightrag - INFO - get_node:query:MATCH (n:`SCHOOL`) RETURN n:result: +2024-10-29 15:16:10,826 - lightrag - INFO - get_node:query:MATCH (n:`THE CHAIN`) RETURN n:result:"The Chain symbolizes the burdens of the past that haunt the spirits, showcasing the consequences of one\'s actions in life."', 'source_id': 'chunk-359187e7571bda4b0b08b2e0b6581e52chunk-cb661c37436355ccec2769b1d0350c5f'}> +2024-10-29 15:16:10,914 - lightrag - INFO - get_node:query:MATCH (n:`THE THREE SPIRITS`) RETURN n:result: +2024-10-29 15:16:11,003 - lightrag - INFO - get_node:query:MATCH (n:`THE COLD`) RETURN n:result: +2024-10-29 15:16:11,094 - lightrag - INFO - get_node:query:MATCH (n:`DEEDS`) RETURN n:result: +2024-10-29 15:16:11,182 - lightrag - INFO - get_node:query:MATCH (n:`THE BLESSED STAR`) RETURN n:result: +2024-10-29 15:16:11,273 - lightrag - INFO - get_node:query:MATCH (n:`THE CANDLE`) RETURN n:result: +2024-10-29 15:16:11,363 - lightrag - INFO - get_node:query:MATCH (n:`FROST`) RETURN n:result: +2024-10-29 15:16:11,454 - lightrag - INFO - get_node:query:MATCH (n:`THE TRANSPARENT WINDOW`) RETURN n:result: +2024-10-29 15:16:11,547 - lightrag - INFO - get_node:query:MATCH (n:`THE CANDLE-LIGHT`) RETURN n:result: +2024-10-29 15:16:11,640 - lightrag - INFO - get_node:query:MATCH (n:`POVERTY`) RETURN n:result: +2024-10-29 15:16:11,734 - lightrag - INFO - get_node:query:MATCH (n:`SUNDAY CLOTHES BOY`) RETURN n:result: +2024-10-29 15:16:11,825 - lightrag - INFO - get_node:query:MATCH (n:`THE SOLITARY CHILD`) RETURN n:result: +2024-10-29 15:16:11,921 - lightrag - INFO - get_node:query:MATCH (n:`CITY`) RETURN n:result:"The City represents the urban setting where Scrooge witnesses the indifference of its inhabitants regarding his death.""The City represents the urban setting where Scrooge\'s transformation takes place, symbolizing the broader society impacted by his changes."', 'source_id': 'chunk-843b5b2f944c7413d9ca876e2e2f151fchunk-94bea83e7153fc2064aa382b494936a1chunk-02baee20cc9463dbe08170a8e1043e32'}> +2024-10-29 15:16:12,008 - lightrag - INFO - get_node:query:MATCH (n:`FEARFUL PLACE`) RETURN n:result: +2024-10-29 15:16:12,100 - lightrag - INFO - get_node:query:MATCH (n:`IRON CABLE`) RETURN n:result: +2024-10-29 15:16:12,189 - lightrag - INFO - get_node:query:MATCH (n:`SPIRIT`) RETURN n:result:"The Spirit embodies the lessons of compassion and social responsibility, guiding Scrooge through his reflections and realizations.""The Spirit is the manifestation of Scrooge\'s past that guides him through his memories, representing his former self and the influence of time.""The Spirit represents a ghostly entity, guiding Scrooge through visions of potential future events and urging him to acknowledge societal issues.""The Spirit represents a supernatural entity guiding Scrooge through his reflections on life, death, and human emotions, prompting self-awareness.""The Spirit represents the embodiment of the Christmas present, personifying the themes of generosity and merriment."', 'source_id': 'chunk-bb21d58d36c6306fd8810ddd51c4a971chunk-83ac129dc9b56f84c46760d153d68e93chunk-e7637ff18c5ded77a68cce0a87883fadchunk-843b5b2f944c7413d9ca876e2e2f151fchunk-1aa50206d02ed89418f65f97c6441d1cchunk-02baee20cc9463dbe08170a8e1043e32'}> +2024-10-29 15:16:12,278 - lightrag - INFO - get_node:query:MATCH (n:`THE SETTING SUN`) RETURN n:result: +2024-10-29 15:16:12,374 - lightrag - INFO - get_node:query:MATCH (n:`KEYS`) RETURN n:result: +2024-10-29 15:16:12,465 - lightrag - INFO - get_node:query:MATCH (n:`THE CLOTHES AND ITEMS`) RETURN n:result: +2024-10-29 15:16:12,560 - lightrag - INFO - get_node:query:MATCH (n:`AVARICE`) RETURN n:result: +2024-10-29 15:16:12,654 - lightrag - INFO - get_node:query:MATCH (n:`THE FIREPLACE`) RETURN n:result: +2024-10-29 15:16:12,748 - lightrag - INFO - get_node:query:MATCH (n:`WANT`) RETURN n:result: +2024-10-29 15:16:12,839 - lightrag - INFO - get_node:query:MATCH (n:`THE DAUGHTER`) RETURN n:result: +2024-10-29 15:16:12,928 - lightrag - INFO - get_node:query:MATCH (n:`CHRISTMAS-TIME`) RETURN n:result:"Christmas-time represents the festive season, a recurring theme that evokes memories and emotions in Scrooge’s reflections.""Christmas-time serves as a backdrop for the narrative, emphasizing themes of reflection, mortality, and social interactions."', 'source_id': 'chunk-f1a4fbcf1ed86864b9bfd5e8dba4c683chunk-c6c248858d1b13ab7ee9ca13c1aeed6bchunk-5dac41b3f9eeaf794f0147400b1718cd'}> +2024-10-29 15:16:13,018 - lightrag - INFO - get_node:query:MATCH (n:`THE BED`) RETURN n:result: +2024-10-29 15:16:13,105 - lightrag - INFO - get_node:query:MATCH (n:`KIND WORD`) RETURN n:result: +2024-10-29 15:16:13,193 - lightrag - INFO - get_node:query:MATCH (n:`SHADOW OF HIMSELF`) RETURN n:result: +2024-10-29 15:16:13,278 - lightrag - INFO - get_node:query:MATCH (n:`GAOL`) RETURN n:result: +2024-10-29 15:16:13,371 - lightrag - INFO - get_node:query:MATCH (n:`IGNORANCE`) RETURN n:result:"Ignorance is personified as a boy that symbolizes the dangers of ignoring social issues and the consequences of a lack of awareness."', 'source_id': 'chunk-02baee20cc9463dbe08170a8e1043e32chunk-e7637ff18c5ded77a68cce0a87883fad'}> +2024-10-29 15:16:13,461 - lightrag - INFO - get_node:query:MATCH (n:`CHILDREN`) RETURN n:result:"The Children represent the joyful, carefree aspects of Scrooge\'s past, embodying happiness and the innocence of youth that he has long forgotten."', 'source_id': 'chunk-bb21d58d36c6306fd8810ddd51c4a971chunk-e7637ff18c5ded77a68cce0a87883fad'}> +2024-10-29 15:16:13,554 - lightrag - INFO - get_node:query:MATCH (n:`THE ROOM BY DAYLIGHT`) RETURN n:result: +2024-10-29 15:16:13,646 - lightrag - INFO - get_node:query:MATCH (n:`THE BOTTLE`) RETURN n:result: +2024-10-29 15:16:13,744 - lightrag - INFO - get_node:query:MATCH (n:`THE FLANNEL BAG`) RETURN n:result: +2024-10-29 15:16:13,839 - lightrag - INFO - get_node:query:MATCH (n:`A CHRISTMAS CAROL`) RETURN n:result: +2024-10-29 15:16:13,930 - lightrag - INFO - get_node:query:MATCH (n:`THE YOUNG GIRL`) RETURN n:result: +2024-10-29 15:16:14,018 - lightrag - INFO - get_node:query:MATCH (n:`THE CITY`) RETURN n:result:"The City represents the bustling urban environment where Scrooge reflects on his past, filled with activity and shadowy figures.""The City, from which Scrooge is transported, represents his past life and is contrasted with the open country road that signifies his memories."', 'source_id': 'chunk-bb21d58d36c6306fd8810ddd51c4a971chunk-c6c248858d1b13ab7ee9ca13c1aeed6bchunk-74e2466de2f67fd710ef2f20c0a8d9e0'}> +2024-10-29 15:16:14,111 - lightrag - INFO - get_node:query:MATCH (n:`GHOST`) RETURN n:result:"The Ghost refers to the spirit guiding Scrooge, embodying the themes of memory and reflection on the joys of Christmas.""The Ghost represents a spiritual guide that takes Scrooge on a journey to learn important lessons about compassion and humanity.""The Ghost serves as a supernatural guide for Scrooge, prompting him to reflect on his life and choices."', 'source_id': 'chunk-503f0bfa5453467c7c61d160a3540ecachunk-c6c248858d1b13ab7ee9ca13c1aeed6bchunk-e7637ff18c5ded77a68cce0a87883fadchunk-43c9bee23adfa77aa9dedd22401bba7d'}> +2024-10-29 15:16:14,199 - lightrag - INFO - get_node:query:MATCH (n:`MERCILESS CREDITOR`) RETURN n:result: +2024-10-29 15:16:14,288 - lightrag - INFO - get_node:query:MATCH (n:`THE SPIRITS`) RETURN n:result:"The Spirits represent the past, present, and future in Scrooge\'s life, guiding him toward redemption and self-reflection."', 'source_id': 'chunk-90b95db5c53e4364a6bee36b7aa4d70fchunk-cb661c37436355ccec2769b1d0350c5f'}> +2024-10-29 15:16:14,381 - lightrag - INFO - get_node:query:MATCH (n:`THE MOTHER`) RETURN n:result:"The Mother is a character associated with the family dynamics during the Christmas scene, though her actions are not explicitly detailed.""The Mother is depicted as a comely matron, who enjoys the laughter and chaos with her children, showing warmth and family value."', 'source_id': 'chunk-da2472b4ef2a535b62908f14d0fb0ca9chunk-83ac129dc9b56f84c46760d153d68e93chunk-54bdd22db1f84a965b5f4c06c9216d8d'}> +2024-10-29 15:16:14,473 - lightrag - INFO - get_node:query:MATCH (n:`LIGHT`) RETURN n:result: +2024-10-29 15:16:14,565 - lightrag - INFO - get_node:query:MATCH (n:`TWO YOUNG CRATCHITS`) RETURN n:result: +2024-10-29 15:16:14,659 - lightrag - INFO - get_node:query:MATCH (n:`JOE`) RETURN n:result:"Joe is a marine-store dealer depicted as receiving stolen goods, illustrating the consequences of crime and the darker sides of society.""Joe is portrayed as a character engaged in a conversation about the deceased, displaying a mix of humor and practicality in dealing with the possessions of the dead."', 'source_id': 'chunk-89777b838d5447c7bd1ec11282c4ee89chunk-9e3921da66da5d761ab73cd849af6c43chunk-e1f29eeadc1d8ab46dc8a0bbd3c56b64'}> +2024-10-29 15:16:14,802 - lightrag - INFO - _find_node_degree:query: + MATCH (n:`EMOTION`) + RETURN COUNT{ (n)--() } AS totalEdgeCount + :result:0 +2024-10-29 15:16:14,981 - lightrag - INFO - _find_node_degree:query: + MATCH (n:`DARKNESS`) + RETURN COUNT{ (n)--() } AS totalEdgeCount + :result:1 +2024-10-29 15:16:15,150 - lightrag - INFO - _find_node_degree:query: + MATCH (n:`THE PHANTOM`) + RETURN COUNT{ (n)--() } AS totalEdgeCount + :result:2 +2024-10-29 15:16:15,319 - lightrag - INFO - _find_node_degree:query: + MATCH (n:`THE COSMIC SIGNIFICANCE`) + RETURN COUNT{ (n)--() } AS totalEdgeCount + :result:0 +2024-10-29 15:16:15,487 - lightrag - INFO - _find_node_degree:query: + MATCH (n:`CHRISTMAS HOLIDAYS`) + RETURN COUNT{ (n)--() } AS totalEdgeCount + :result:0 +2024-10-29 15:16:15,657 - lightrag - INFO - _find_node_degree:query: + MATCH (n:`PONDEROUS CHAIN`) + RETURN COUNT{ (n)--() } AS totalEdgeCount + :result:0 +2024-10-29 15:16:15,831 - lightrag - INFO - _find_node_degree:query: + MATCH (n:`HUMANITY`) + RETURN COUNT{ (n)--() } AS totalEdgeCount + :result:1 +2024-10-29 15:16:16,004 - lightrag - INFO - _find_node_degree:query: + MATCH (n:`CHRISTMAS`) + RETURN COUNT{ (n)--() } AS totalEdgeCount + :result:18 +2024-10-29 15:16:16,178 - lightrag - INFO - _find_node_degree:query: + MATCH (n:`DEATH`) + RETURN COUNT{ (n)--() } AS totalEdgeCount + :result:3 +2024-10-29 15:16:16,356 - lightrag - INFO - _find_node_degree:query: + MATCH (n:`SCROOGE`) + RETURN COUNT{ (n)--() } AS totalEdgeCount + :result:100 +2024-10-29 15:16:16,527 - lightrag - INFO - _find_node_degree:query: + MATCH (n:`RUSTY KEYS, NAILS, CHAINS, HINGES`) + RETURN COUNT{ (n)--() } AS totalEdgeCount + :result:1 +2024-10-29 15:16:16,697 - lightrag - INFO - _find_node_degree:query: + MATCH (n:`THE PENANCE`) + RETURN COUNT{ (n)--() } AS totalEdgeCount + :result:0 +2024-10-29 15:16:16,873 - lightrag - INFO - _find_node_degree:query: + MATCH (n:`MAN`) + RETURN COUNT{ (n)--() } AS totalEdgeCount + :result:1 +2024-10-29 15:16:17,047 - lightrag - INFO - _find_node_degree:query: + MATCH (n:`THE SCHOOLMASTER`) + RETURN COUNT{ (n)--() } AS totalEdgeCount + :result:1 +2024-10-29 15:16:17,220 - lightrag - INFO - _find_node_degree:query: + MATCH (n:`THE GRAVE`) + RETURN COUNT{ (n)--() } AS totalEdgeCount + :result:1 +2024-10-29 15:16:17,401 - lightrag - INFO - _find_node_degree:query: + MATCH (n:`KEYHOLE`) + RETURN COUNT{ (n)--() } AS totalEdgeCount + :result:0 +2024-10-29 15:16:17,572 - lightrag - INFO - _find_node_degree:query: + MATCH (n:`SCHOOL`) + RETURN COUNT{ (n)--() } AS totalEdgeCount + :result:2 +2024-10-29 15:16:17,743 - lightrag - INFO - _find_node_degree:query: + MATCH (n:`THE CHAIN`) + RETURN COUNT{ (n)--() } AS totalEdgeCount + :result:0 +2024-10-29 15:16:17,918 - lightrag - INFO - _find_node_degree:query: + MATCH (n:`THE THREE SPIRITS`) + RETURN COUNT{ (n)--() } AS totalEdgeCount + :result:1 +2024-10-29 15:16:18,090 - lightrag - INFO - _find_node_degree:query: + MATCH (n:`THE COLD`) + RETURN COUNT{ (n)--() } AS totalEdgeCount + :result:1 +2024-10-29 15:16:18,265 - lightrag - INFO - _find_node_degree:query: + MATCH (n:`DEEDS`) + RETURN COUNT{ (n)--() } AS totalEdgeCount + :result:0 +2024-10-29 15:16:18,437 - lightrag - INFO - _find_node_degree:query: + MATCH (n:`THE BLESSED STAR`) + RETURN COUNT{ (n)--() } AS totalEdgeCount + :result:0 +2024-10-29 15:16:18,610 - lightrag - INFO - _find_node_degree:query: + MATCH (n:`THE CANDLE`) + RETURN COUNT{ (n)--() } AS totalEdgeCount + :result:1 +2024-10-29 15:16:18,784 - lightrag - INFO - _find_node_degree:query: + MATCH (n:`FROST`) + RETURN COUNT{ (n)--() } AS totalEdgeCount + :result:1 +2024-10-29 15:16:18,960 - lightrag - INFO - _find_node_degree:query: + MATCH (n:`THE TRANSPARENT WINDOW`) + RETURN COUNT{ (n)--() } AS totalEdgeCount + :result:0 +2024-10-29 15:16:19,127 - lightrag - INFO - _find_node_degree:query: + MATCH (n:`THE CANDLE-LIGHT`) + RETURN COUNT{ (n)--() } AS totalEdgeCount + :result:0 +2024-10-29 15:16:19,302 - lightrag - INFO - _find_node_degree:query: + MATCH (n:`POVERTY`) + RETURN COUNT{ (n)--() } AS totalEdgeCount + :result:1 +2024-10-29 15:16:19,479 - lightrag - INFO - _find_node_degree:query: + MATCH (n:`SUNDAY CLOTHES BOY`) + RETURN COUNT{ (n)--() } AS totalEdgeCount + :result:1 +2024-10-29 15:16:19,649 - lightrag - INFO - _find_node_degree:query: + MATCH (n:`THE SOLITARY CHILD`) + RETURN COUNT{ (n)--() } AS totalEdgeCount + :result:0 +2024-10-29 15:16:19,825 - lightrag - INFO - _find_node_degree:query: + MATCH (n:`CITY`) + RETURN COUNT{ (n)--() } AS totalEdgeCount + :result:1 +2024-10-29 15:16:20,006 - lightrag - INFO - _find_node_degree:query: + MATCH (n:`FEARFUL PLACE`) + RETURN COUNT{ (n)--() } AS totalEdgeCount + :result:0 +2024-10-29 15:16:20,175 - lightrag - INFO - _find_node_degree:query: + MATCH (n:`IRON CABLE`) + RETURN COUNT{ (n)--() } AS totalEdgeCount + :result:0 +2024-10-29 15:16:20,347 - lightrag - INFO - _find_node_degree:query: + MATCH (n:`SPIRIT`) + RETURN COUNT{ (n)--() } AS totalEdgeCount + :result:9 +2024-10-29 15:16:20,525 - lightrag - INFO - _find_node_degree:query: + MATCH (n:`THE SETTING SUN`) + RETURN COUNT{ (n)--() } AS totalEdgeCount + :result:1 +2024-10-29 15:16:20,695 - lightrag - INFO - _find_node_degree:query: + MATCH (n:`KEYS`) + RETURN COUNT{ (n)--() } AS totalEdgeCount + :result:0 +2024-10-29 15:16:20,865 - lightrag - INFO - _find_node_degree:query: + MATCH (n:`THE CLOTHES AND ITEMS`) + RETURN COUNT{ (n)--() } AS totalEdgeCount + :result:0 +2024-10-29 15:16:21,040 - lightrag - INFO - _find_node_degree:query: + MATCH (n:`AVARICE`) + RETURN COUNT{ (n)--() } AS totalEdgeCount + :result:0 +2024-10-29 15:16:21,212 - lightrag - INFO - _find_node_degree:query: + MATCH (n:`THE FIREPLACE`) + RETURN COUNT{ (n)--() } AS totalEdgeCount + :result:0 +2024-10-29 15:16:21,382 - lightrag - INFO - _find_node_degree:query: + MATCH (n:`WANT`) + RETURN COUNT{ (n)--() } AS totalEdgeCount + :result:1 +2024-10-29 15:16:21,554 - lightrag - INFO - _find_node_degree:query: + MATCH (n:`THE DAUGHTER`) + RETURN COUNT{ (n)--() } AS totalEdgeCount + :result:1 +2024-10-29 15:16:21,732 - lightrag - INFO - _find_node_degree:query: + MATCH (n:`CHRISTMAS-TIME`) + RETURN COUNT{ (n)--() } AS totalEdgeCount + :result:2 +2024-10-29 15:16:21,907 - lightrag - INFO - _find_node_degree:query: + MATCH (n:`THE BED`) + RETURN COUNT{ (n)--() } AS totalEdgeCount + :result:1 +2024-10-29 15:16:22,078 - lightrag - INFO - _find_node_degree:query: + MATCH (n:`KIND WORD`) + RETURN COUNT{ (n)--() } AS totalEdgeCount + :result:0 +2024-10-29 15:16:22,247 - lightrag - INFO - _find_node_degree:query: + MATCH (n:`SHADOW OF HIMSELF`) + RETURN COUNT{ (n)--() } AS totalEdgeCount + :result:1 +2024-10-29 15:16:22,421 - lightrag - INFO - _find_node_degree:query: + MATCH (n:`GAOL`) + RETURN COUNT{ (n)--() } AS totalEdgeCount + :result:1 +2024-10-29 15:16:22,592 - lightrag - INFO - _find_node_degree:query: + MATCH (n:`IGNORANCE`) + RETURN COUNT{ (n)--() } AS totalEdgeCount + :result:3 +2024-10-29 15:16:22,764 - lightrag - INFO - _find_node_degree:query: + MATCH (n:`CHILDREN`) + RETURN COUNT{ (n)--() } AS totalEdgeCount + :result:2 +2024-10-29 15:16:22,939 - lightrag - INFO - _find_node_degree:query: + MATCH (n:`THE ROOM BY DAYLIGHT`) + RETURN COUNT{ (n)--() } AS totalEdgeCount + :result:0 +2024-10-29 15:16:23,114 - lightrag - INFO - _find_node_degree:query: + MATCH (n:`THE BOTTLE`) + RETURN COUNT{ (n)--() } AS totalEdgeCount + :result:0 +2024-10-29 15:16:23,284 - lightrag - INFO - _find_node_degree:query: + MATCH (n:`THE FLANNEL BAG`) + RETURN COUNT{ (n)--() } AS totalEdgeCount + :result:0 +2024-10-29 15:16:23,458 - lightrag - INFO - _find_node_degree:query: + MATCH (n:`A CHRISTMAS CAROL`) + RETURN COUNT{ (n)--() } AS totalEdgeCount + :result:3 +2024-10-29 15:16:23,629 - lightrag - INFO - _find_node_degree:query: + MATCH (n:`THE YOUNG GIRL`) + RETURN COUNT{ (n)--() } AS totalEdgeCount + :result:1 +2024-10-29 15:16:23,812 - lightrag - INFO - _find_node_degree:query: + MATCH (n:`THE CITY`) + RETURN COUNT{ (n)--() } AS totalEdgeCount + :result:3 +2024-10-29 15:16:23,985 - lightrag - INFO - _find_node_degree:query: + MATCH (n:`GHOST`) + RETURN COUNT{ (n)--() } AS totalEdgeCount + :result:3 +2024-10-29 15:16:24,163 - lightrag - INFO - _find_node_degree:query: + MATCH (n:`MERCILESS CREDITOR`) + RETURN COUNT{ (n)--() } AS totalEdgeCount + :result:0 +2024-10-29 15:16:24,338 - lightrag - INFO - _find_node_degree:query: + MATCH (n:`THE SPIRITS`) + RETURN COUNT{ (n)--() } AS totalEdgeCount + :result:1 +2024-10-29 15:16:24,512 - lightrag - INFO - _find_node_degree:query: + MATCH (n:`THE MOTHER`) + RETURN COUNT{ (n)--() } AS totalEdgeCount + :result:2 +2024-10-29 15:16:24,687 - lightrag - INFO - _find_node_degree:query: + MATCH (n:`LIGHT`) + RETURN COUNT{ (n)--() } AS totalEdgeCount + :result:1 +2024-10-29 15:16:24,864 - lightrag - INFO - _find_node_degree:query: + MATCH (n:`TWO YOUNG CRATCHITS`) + RETURN COUNT{ (n)--() } AS totalEdgeCount + :result:0 +2024-10-29 15:16:25,039 - lightrag - INFO - _find_node_degree:query: + MATCH (n:`JOE`) + RETURN COUNT{ (n)--() } AS totalEdgeCount + :result:2 +2024-10-29 15:28:45,611 - lightrag - INFO - Logger initialized for working directory: ./neo4jWorkDir +2024-10-29 15:28:45,611 - lightrag - DEBUG - LightRAG init with param: + working_dir = ./neo4jWorkDir, + chunk_token_size = 1200, + chunk_overlap_token_size = 100, + tiktoken_model_name = gpt-4o-mini, + entity_extract_max_gleaning = 1, + entity_summary_to_max_tokens = 500, + node_embedding_algorithm = node2vec, + node2vec_params = {'dimensions': 1536, 'num_walks': 10, 'walk_length': 40, 'window_size': 2, 'iterations': 3, 'random_seed': 3}, + embedding_func = {'embedding_dim': 1536, 'max_token_size': 8192, 'func': }, + embedding_batch_num = 32, + embedding_func_max_async = 16, + llm_model_func = , + llm_model_name = meta-llama/Llama-3.2-1B-Instruct, + llm_model_max_token_size = 32768, + llm_model_max_async = 16, + key_string_value_json_storage_cls = , + vector_db_storage_cls = , + vector_db_storage_cls_kwargs = {}, + graph_storage_cls = , + enable_llm_cache = True, + addon_params = {}, + convert_response_to_json_func = + +2024-10-29 15:28:45,612 - lightrag - INFO - Load KV full_docs with 1 data +2024-10-29 15:28:45,613 - lightrag - INFO - Load KV text_chunks with 42 data +2024-10-29 15:28:45,613 - lightrag - INFO - Load KV llm_response_cache with 88 data +2024-10-29 15:28:45,634 - lightrag - INFO - Creating a new event loop in a sub-thread. +2024-10-29 15:28:45,635 - lightrag - WARNING - All docs are already in the storage +2024-10-29 15:28:45,667 - lightrag - INFO - Creating a new event loop in a sub-thread. +2024-10-29 15:28:46,531 - lightrag - INFO - Truncate 39 to 3 chunks +2024-10-29 15:28:46,541 - lightrag - INFO - Creating a new event loop in a sub-thread. +2024-10-29 15:28:47,392 - lightrag - INFO - get_node:query:MATCH (n:`EMOTION`) RETURN n:result: +2024-10-29 15:28:47,486 - lightrag - INFO - get_node:query:MATCH (n:`DARKNESS`) RETURN n:result: +2024-10-29 15:28:47,580 - lightrag - INFO - get_node:query:MATCH (n:`THE PHANTOM`) RETURN n:result: +2024-10-29 15:28:47,674 - lightrag - INFO - get_node:query:MATCH (n:`THE COSMIC SIGNIFICANCE`) RETURN n:result: +2024-10-29 15:28:47,768 - lightrag - INFO - get_node:query:MATCH (n:`CHRISTMAS HOLIDAYS`) RETURN n:result: +2024-10-29 15:28:47,860 - lightrag - INFO - get_node:query:MATCH (n:`PONDEROUS CHAIN`) RETURN n:result: +2024-10-29 15:28:47,953 - lightrag - INFO - get_node:query:MATCH (n:`HUMANITY`) RETURN n:result: +2024-10-29 15:28:48,042 - lightrag - INFO - get_node:query:MATCH (n:`CHRISTMAS`) RETURN n:result:"Christmas is a festive occasion that has led to a joyful transformation in Scrooge\'s character and actions.""Christmas is a festive time celebrated by the Cratchit family, symbolizing joy, family togetherness, and generosity.""Christmas is a significant holiday that serves as the backdrop for Scrooge\'s transformation and the events that unfold during the narrative.""Christmas is a significant holiday that triggers Scrooge\'s memories and reflections on joy, loneliness, and his past.""Christmas is central to the text, symbolizing generosity, charity, and warmth that Scrooge rejects.""Christmas is depicted as a festive season when charity and social duty are emphasized, contrasting with Scrooge\'s values.""Christmas is depicted as a time associated with joy and abundance, contrasting with Scrooge\'s initial views.""Christmas is depicted as a time of joy and communal spirit, marked by people\'s activities and interactions in the streets.""Christmas is depicted as a time of joy and generosity, contrasting sharply with Scrooge\'s past behavior and current solitude.""Christmas is portrayed as a festive time that Scrooge dismisses, emphasizing the contrast between joy and his miserable attitude.""Christmas is portrayed as a time of joy, reflection, and connection, emphasizing the positive impact of the holiday spirit on individuals and communities.""Christmas is presented as a time for merriment and social gatherings, which Scrooge\'s nephew advocates for despite his uncle\'s opposition.""Christmas is the central holiday during which the events unfold, leading to significant character transformations and themes of generosity.""Christmas is the season during which festive activities and celebrations are occurring, including dances and gatherings.""Christmas represents a time of reflection and change for Scrooge, emphasizing themes of redemption.""Christmas serves as a thematic backdrop for the story, symbolizing redemption, generosity, and the spirit of giving."', 'source_id': 'chunk-91614df5cb74cbe5e109a338a82041e9chunk-503f0bfa5453467c7c61d160a3540ecachunk-773d0df1dd25c356f7b771d780583e09chunk-8f738cb25d60a7dab782162d9d0a25edchunk-e7637ff18c5ded77a68cce0a87883fadchunk-8590d9263cd2cd4fa583c432fc54e6c3chunk-54bdd22db1f84a965b5f4c06c9216d8dchunk-02baee20cc9463dbe08170a8e1043e32chunk-90d5764e301321c087f5a8f78b73a145chunk-91572b3cd42786ba4cb2f180ca25cbf4chunk-1d4b58de5429cd1261370c231c8673e8chunk-da2472b4ef2a535b62908f14d0fb0ca9chunk-94bea83e7153fc2064aa382b494936a1chunk-89777b838d5447c7bd1ec11282c4ee89chunk-99b0ec7f7e006561352b5d65e849611dchunk-74e2466de2f67fd710ef2f20c0a8d9e0chunk-5dac41b3f9eeaf794f0147400b1718cd'}> +2024-10-29 15:28:48,134 - lightrag - INFO - get_node:query:MATCH (n:`DEATH`) RETURN n:result:"Death is described as a powerful force in the narrative, represented through the imagery of a cold, rigid presence and the contemplation of mortality.""Death refers to the passing of a character that triggers a range of emotions and reflections among the living, influencing their lives and relationships."', 'source_id': 'chunk-e1f29eeadc1d8ab46dc8a0bbd3c56b64chunk-83ac129dc9b56f84c46760d153d68e93chunk-02baee20cc9463dbe08170a8e1043e32'}> +2024-10-29 15:28:48,229 - lightrag - INFO - get_node:query:MATCH (n:`SCROOGE`) RETURN n:result:chunk-b2f98bc7abb0c67d4c86055c7fd72218chunk-91614df5cb74cbe5e109a338a82041e9chunk-8f738cb25d60a7dab782162d9d0a25edchunk-e7637ff18c5ded77a68cce0a87883fadchunk-d9aac3484185ac66045df92214d245d5chunk-90b95db5c53e4364a6bee36b7aa4d70fchunk-89777b838d5447c7bd1ec11282c4ee89chunk-c6c248858d1b13ab7ee9ca13c1aeed6bchunk-5dac41b3f9eeaf794f0147400b1718cdchunk-773d0df1dd25c356f7b771d780583e09chunk-843b5b2f944c7413d9ca876e2e2f151fchunk-f1a4fbcf1ed86864b9bfd5e8dba4c683chunk-359187e7571bda4b0b08b2e0b6581e52chunk-503f0bfa5453467c7c61d160a3540ecachunk-9c43dac2fcd5b578242d907ea6f8fc7bchunk-b0f459f5af1c3a5e0b92cbe4ee48b77bchunk-1aa50206d02ed89418f65f97c6441d1cchunk-54bdd22db1f84a965b5f4c06c9216d8dchunk-cb661c37436355ccec2769b1d0350c5fchunk-90d5764e301321c087f5a8f78b73a145chunk-91572b3cd42786ba4cb2f180ca25cbf4chunk-da2472b4ef2a535b62908f14d0fb0ca9chunk-99b0ec7f7e006561352b5d65e849611dchunk-43c9bee23adfa77aa9dedd22401bba7dchunk-83ac129dc9b56f84c46760d153d68e93chunk-e1f29eeadc1d8ab46dc8a0bbd3c56b64chunk-8590d9263cd2cd4fa583c432fc54e6c3chunk-02baee20cc9463dbe08170a8e1043e32chunk-94bea83e7153fc2064aa382b494936a1chunk-74e2466de2f67fd710ef2f20c0a8d9e0chunk-19d72c57ae3408758b18d2568e86dc6b'}> +2024-10-29 15:28:48,321 - lightrag - INFO - get_node:query:MATCH (n:`RUSTY KEYS, NAILS, CHAINS, HINGES`) RETURN n:result: +2024-10-29 15:28:48,415 - lightrag - INFO - get_node:query:MATCH (n:`THE PENANCE`) RETURN n:result: +2024-10-29 15:28:48,508 - lightrag - INFO - get_node:query:MATCH (n:`MAN`) RETURN n:result: +2024-10-29 15:28:48,598 - lightrag - INFO - get_node:query:MATCH (n:`THE SCHOOLMASTER`) RETURN n:result: +2024-10-29 15:28:48,691 - lightrag - INFO - get_node:query:MATCH (n:`THE GRAVE`) RETURN n:result: +2024-10-29 15:28:48,785 - lightrag - INFO - get_node:query:MATCH (n:`KEYHOLE`) RETURN n:result: +2024-10-29 15:28:48,881 - lightrag - INFO - get_node:query:MATCH (n:`SCHOOL`) RETURN n:result: +2024-10-29 15:28:48,973 - lightrag - INFO - get_node:query:MATCH (n:`THE CHAIN`) RETURN n:result:"The Chain symbolizes the burdens of the past that haunt the spirits, showcasing the consequences of one\'s actions in life."', 'source_id': 'chunk-359187e7571bda4b0b08b2e0b6581e52chunk-cb661c37436355ccec2769b1d0350c5f'}> +2024-10-29 15:28:49,065 - lightrag - INFO - get_node:query:MATCH (n:`THE THREE SPIRITS`) RETURN n:result: +2024-10-29 15:28:49,162 - lightrag - INFO - get_node:query:MATCH (n:`THE COLD`) RETURN n:result: +2024-10-29 15:28:49,252 - lightrag - INFO - get_node:query:MATCH (n:`DEEDS`) RETURN n:result: +2024-10-29 15:28:49,345 - lightrag - INFO - get_node:query:MATCH (n:`THE BLESSED STAR`) RETURN n:result: +2024-10-29 15:28:49,437 - lightrag - INFO - get_node:query:MATCH (n:`THE CANDLE`) RETURN n:result: +2024-10-29 15:28:49,528 - lightrag - INFO - get_node:query:MATCH (n:`FROST`) RETURN n:result: +2024-10-29 15:28:49,618 - lightrag - INFO - get_node:query:MATCH (n:`THE TRANSPARENT WINDOW`) RETURN n:result: +2024-10-29 15:28:49,708 - lightrag - INFO - get_node:query:MATCH (n:`THE CANDLE-LIGHT`) RETURN n:result: +2024-10-29 15:28:49,797 - lightrag - INFO - get_node:query:MATCH (n:`POVERTY`) RETURN n:result: +2024-10-29 15:28:49,898 - lightrag - INFO - get_node:query:MATCH (n:`SUNDAY CLOTHES BOY`) RETURN n:result: +2024-10-29 15:28:49,988 - lightrag - INFO - get_node:query:MATCH (n:`THE SOLITARY CHILD`) RETURN n:result: +2024-10-29 15:28:50,074 - lightrag - INFO - get_node:query:MATCH (n:`CITY`) RETURN n:result:"The City represents the urban setting where Scrooge witnesses the indifference of its inhabitants regarding his death.""The City represents the urban setting where Scrooge\'s transformation takes place, symbolizing the broader society impacted by his changes."', 'source_id': 'chunk-843b5b2f944c7413d9ca876e2e2f151fchunk-94bea83e7153fc2064aa382b494936a1chunk-02baee20cc9463dbe08170a8e1043e32'}> +2024-10-29 15:28:50,175 - lightrag - INFO - get_node:query:MATCH (n:`FEARFUL PLACE`) RETURN n:result: +2024-10-29 15:28:50,269 - lightrag - INFO - get_node:query:MATCH (n:`IRON CABLE`) RETURN n:result: +2024-10-29 15:28:50,364 - lightrag - INFO - get_node:query:MATCH (n:`SPIRIT`) RETURN n:result:"The Spirit embodies the lessons of compassion and social responsibility, guiding Scrooge through his reflections and realizations.""The Spirit is the manifestation of Scrooge\'s past that guides him through his memories, representing his former self and the influence of time.""The Spirit represents a ghostly entity, guiding Scrooge through visions of potential future events and urging him to acknowledge societal issues.""The Spirit represents a supernatural entity guiding Scrooge through his reflections on life, death, and human emotions, prompting self-awareness.""The Spirit represents the embodiment of the Christmas present, personifying the themes of generosity and merriment."', 'source_id': 'chunk-bb21d58d36c6306fd8810ddd51c4a971chunk-83ac129dc9b56f84c46760d153d68e93chunk-e7637ff18c5ded77a68cce0a87883fadchunk-843b5b2f944c7413d9ca876e2e2f151fchunk-1aa50206d02ed89418f65f97c6441d1cchunk-02baee20cc9463dbe08170a8e1043e32'}> +2024-10-29 15:28:50,464 - lightrag - INFO - get_node:query:MATCH (n:`THE SETTING SUN`) RETURN n:result: +2024-10-29 15:28:50,557 - lightrag - INFO - get_node:query:MATCH (n:`KEYS`) RETURN n:result: +2024-10-29 15:28:50,649 - lightrag - INFO - get_node:query:MATCH (n:`THE CLOTHES AND ITEMS`) RETURN n:result: +2024-10-29 15:28:50,739 - lightrag - INFO - get_node:query:MATCH (n:`AVARICE`) RETURN n:result: +2024-10-29 15:28:50,831 - lightrag - INFO - get_node:query:MATCH (n:`THE FIREPLACE`) RETURN n:result: +2024-10-29 15:28:50,927 - lightrag - INFO - get_node:query:MATCH (n:`WANT`) RETURN n:result: +2024-10-29 15:28:51,015 - lightrag - INFO - get_node:query:MATCH (n:`THE DAUGHTER`) RETURN n:result: +2024-10-29 15:28:51,108 - lightrag - INFO - get_node:query:MATCH (n:`CHRISTMAS-TIME`) RETURN n:result:"Christmas-time represents the festive season, a recurring theme that evokes memories and emotions in Scrooge’s reflections.""Christmas-time serves as a backdrop for the narrative, emphasizing themes of reflection, mortality, and social interactions."', 'source_id': 'chunk-f1a4fbcf1ed86864b9bfd5e8dba4c683chunk-c6c248858d1b13ab7ee9ca13c1aeed6bchunk-5dac41b3f9eeaf794f0147400b1718cd'}> +2024-10-29 15:28:51,223 - lightrag - INFO - get_node:query:MATCH (n:`THE BED`) RETURN n:result: +2024-10-29 15:28:51,317 - lightrag - INFO - get_node:query:MATCH (n:`SHADOW OF HIMSELF`) RETURN n:result: +2024-10-29 15:28:51,412 - lightrag - INFO - get_node:query:MATCH (n:`KIND WORD`) RETURN n:result: +2024-10-29 15:28:51,507 - lightrag - INFO - get_node:query:MATCH (n:`GAOL`) RETURN n:result: +2024-10-29 15:28:51,600 - lightrag - INFO - get_node:query:MATCH (n:`IGNORANCE`) RETURN n:result:"Ignorance is personified as a boy that symbolizes the dangers of ignoring social issues and the consequences of a lack of awareness."', 'source_id': 'chunk-02baee20cc9463dbe08170a8e1043e32chunk-e7637ff18c5ded77a68cce0a87883fad'}> +2024-10-29 15:28:51,695 - lightrag - INFO - get_node:query:MATCH (n:`CHILDREN`) RETURN n:result:"The Children represent the joyful, carefree aspects of Scrooge\'s past, embodying happiness and the innocence of youth that he has long forgotten."', 'source_id': 'chunk-bb21d58d36c6306fd8810ddd51c4a971chunk-e7637ff18c5ded77a68cce0a87883fad'}> +2024-10-29 15:28:51,788 - lightrag - INFO - get_node:query:MATCH (n:`THE ROOM BY DAYLIGHT`) RETURN n:result: +2024-10-29 15:28:51,884 - lightrag - INFO - get_node:query:MATCH (n:`THE BOTTLE`) RETURN n:result: +2024-10-29 15:28:51,978 - lightrag - INFO - get_node:query:MATCH (n:`THE FLANNEL BAG`) RETURN n:result: +2024-10-29 15:28:52,068 - lightrag - INFO - get_node:query:MATCH (n:`THE YOUNG GIRL`) RETURN n:result: +2024-10-29 15:28:52,158 - lightrag - INFO - get_node:query:MATCH (n:`A CHRISTMAS CAROL`) RETURN n:result: +2024-10-29 15:28:52,249 - lightrag - INFO - get_node:query:MATCH (n:`THE CITY`) RETURN n:result:"The City represents the bustling urban environment where Scrooge reflects on his past, filled with activity and shadowy figures.""The City, from which Scrooge is transported, represents his past life and is contrasted with the open country road that signifies his memories."', 'source_id': 'chunk-bb21d58d36c6306fd8810ddd51c4a971chunk-c6c248858d1b13ab7ee9ca13c1aeed6bchunk-74e2466de2f67fd710ef2f20c0a8d9e0'}> +2024-10-29 15:28:52,338 - lightrag - INFO - get_node:query:MATCH (n:`GHOST`) RETURN n:result:"The Ghost refers to the spirit guiding Scrooge, embodying the themes of memory and reflection on the joys of Christmas.""The Ghost represents a spiritual guide that takes Scrooge on a journey to learn important lessons about compassion and humanity.""The Ghost serves as a supernatural guide for Scrooge, prompting him to reflect on his life and choices."', 'source_id': 'chunk-503f0bfa5453467c7c61d160a3540ecachunk-c6c248858d1b13ab7ee9ca13c1aeed6bchunk-e7637ff18c5ded77a68cce0a87883fadchunk-43c9bee23adfa77aa9dedd22401bba7d'}> +2024-10-29 15:28:52,429 - lightrag - INFO - get_node:query:MATCH (n:`MERCILESS CREDITOR`) RETURN n:result: +2024-10-29 15:28:52,521 - lightrag - INFO - get_node:query:MATCH (n:`THE SPIRITS`) RETURN n:result:"The Spirits represent the past, present, and future in Scrooge\'s life, guiding him toward redemption and self-reflection."', 'source_id': 'chunk-90b95db5c53e4364a6bee36b7aa4d70fchunk-cb661c37436355ccec2769b1d0350c5f'}> +2024-10-29 15:28:52,615 - lightrag - INFO - get_node:query:MATCH (n:`THE MOTHER`) RETURN n:result:"The Mother is a character associated with the family dynamics during the Christmas scene, though her actions are not explicitly detailed.""The Mother is depicted as a comely matron, who enjoys the laughter and chaos with her children, showing warmth and family value."', 'source_id': 'chunk-da2472b4ef2a535b62908f14d0fb0ca9chunk-83ac129dc9b56f84c46760d153d68e93chunk-54bdd22db1f84a965b5f4c06c9216d8d'}> +2024-10-29 15:28:52,705 - lightrag - INFO - get_node:query:MATCH (n:`LIGHT`) RETURN n:result: +2024-10-29 15:28:52,798 - lightrag - INFO - get_node:query:MATCH (n:`TWO YOUNG CRATCHITS`) RETURN n:result: +2024-10-29 15:28:52,893 - lightrag - INFO - get_node:query:MATCH (n:`JOE`) RETURN n:result:"Joe is a marine-store dealer depicted as receiving stolen goods, illustrating the consequences of crime and the darker sides of society.""Joe is portrayed as a character engaged in a conversation about the deceased, displaying a mix of humor and practicality in dealing with the possessions of the dead."', 'source_id': 'chunk-89777b838d5447c7bd1ec11282c4ee89chunk-9e3921da66da5d761ab73cd849af6c43chunk-e1f29eeadc1d8ab46dc8a0bbd3c56b64'}> +2024-10-29 15:28:53,043 - lightrag - INFO - _find_node_degree:query: + MATCH (n:`EMOTION`) + RETURN COUNT{ (n)--() } AS totalEdgeCount + :result:0 +2024-10-29 15:28:53,218 - lightrag - INFO - _find_node_degree:query: + MATCH (n:`DARKNESS`) + RETURN COUNT{ (n)--() } AS totalEdgeCount + :result:1 +2024-10-29 15:28:53,387 - lightrag - INFO - _find_node_degree:query: + MATCH (n:`THE PHANTOM`) + RETURN COUNT{ (n)--() } AS totalEdgeCount + :result:2 +2024-10-29 15:28:53,560 - lightrag - INFO - _find_node_degree:query: + MATCH (n:`THE COSMIC SIGNIFICANCE`) + RETURN COUNT{ (n)--() } AS totalEdgeCount + :result:0 +2024-10-29 15:28:53,742 - lightrag - INFO - _find_node_degree:query: + MATCH (n:`CHRISTMAS HOLIDAYS`) + RETURN COUNT{ (n)--() } AS totalEdgeCount + :result:0 +2024-10-29 15:28:53,922 - lightrag - INFO - _find_node_degree:query: + MATCH (n:`PONDEROUS CHAIN`) + RETURN COUNT{ (n)--() } AS totalEdgeCount + :result:0 +2024-10-29 15:28:54,097 - lightrag - INFO - _find_node_degree:query: + MATCH (n:`HUMANITY`) + RETURN COUNT{ (n)--() } AS totalEdgeCount + :result:1 +2024-10-29 15:28:54,269 - lightrag - INFO - _find_node_degree:query: + MATCH (n:`CHRISTMAS`) + RETURN COUNT{ (n)--() } AS totalEdgeCount + :result:18 +2024-10-29 15:28:54,446 - lightrag - INFO - _find_node_degree:query: + MATCH (n:`DEATH`) + RETURN COUNT{ (n)--() } AS totalEdgeCount + :result:3 +2024-10-29 15:28:54,623 - lightrag - INFO - _find_node_degree:query: + MATCH (n:`SCROOGE`) + RETURN COUNT{ (n)--() } AS totalEdgeCount + :result:100 +2024-10-29 15:28:54,805 - lightrag - INFO - _find_node_degree:query: + MATCH (n:`RUSTY KEYS, NAILS, CHAINS, HINGES`) + RETURN COUNT{ (n)--() } AS totalEdgeCount + :result:1 +2024-10-29 15:28:54,983 - lightrag - INFO - _find_node_degree:query: + MATCH (n:`THE PENANCE`) + RETURN COUNT{ (n)--() } AS totalEdgeCount + :result:0 +2024-10-29 15:28:55,159 - lightrag - INFO - _find_node_degree:query: + MATCH (n:`MAN`) + RETURN COUNT{ (n)--() } AS totalEdgeCount + :result:1 +2024-10-29 15:28:55,337 - lightrag - INFO - _find_node_degree:query: + MATCH (n:`THE SCHOOLMASTER`) + RETURN COUNT{ (n)--() } AS totalEdgeCount + :result:1 +2024-10-29 15:28:55,510 - lightrag - INFO - _find_node_degree:query: + MATCH (n:`THE GRAVE`) + RETURN COUNT{ (n)--() } AS totalEdgeCount + :result:1 +2024-10-29 15:28:55,679 - lightrag - INFO - _find_node_degree:query: + MATCH (n:`KEYHOLE`) + RETURN COUNT{ (n)--() } AS totalEdgeCount + :result:0 +2024-10-29 15:28:55,851 - lightrag - INFO - _find_node_degree:query: + MATCH (n:`SCHOOL`) + RETURN COUNT{ (n)--() } AS totalEdgeCount + :result:2 +2024-10-29 15:28:56,025 - lightrag - INFO - _find_node_degree:query: + MATCH (n:`THE CHAIN`) + RETURN COUNT{ (n)--() } AS totalEdgeCount + :result:0 +2024-10-29 15:28:56,197 - lightrag - INFO - _find_node_degree:query: + MATCH (n:`THE THREE SPIRITS`) + RETURN COUNT{ (n)--() } AS totalEdgeCount + :result:1 +2024-10-29 15:28:56,372 - lightrag - INFO - _find_node_degree:query: + MATCH (n:`THE COLD`) + RETURN COUNT{ (n)--() } AS totalEdgeCount + :result:1 +2024-10-29 15:28:56,547 - lightrag - INFO - _find_node_degree:query: + MATCH (n:`DEEDS`) + RETURN COUNT{ (n)--() } AS totalEdgeCount + :result:0 +2024-10-29 15:28:56,729 - lightrag - INFO - _find_node_degree:query: + MATCH (n:`THE BLESSED STAR`) + RETURN COUNT{ (n)--() } AS totalEdgeCount + :result:0 +2024-10-29 15:28:56,910 - lightrag - INFO - _find_node_degree:query: + MATCH (n:`THE CANDLE`) + RETURN COUNT{ (n)--() } AS totalEdgeCount + :result:1 +2024-10-29 15:28:57,083 - lightrag - INFO - _find_node_degree:query: + MATCH (n:`FROST`) + RETURN COUNT{ (n)--() } AS totalEdgeCount + :result:1 +2024-10-29 15:28:57,255 - lightrag - INFO - _find_node_degree:query: + MATCH (n:`THE TRANSPARENT WINDOW`) + RETURN COUNT{ (n)--() } AS totalEdgeCount + :result:0 +2024-10-29 15:28:57,426 - lightrag - INFO - _find_node_degree:query: + MATCH (n:`THE CANDLE-LIGHT`) + RETURN COUNT{ (n)--() } AS totalEdgeCount + :result:0 +2024-10-29 15:28:57,600 - lightrag - INFO - _find_node_degree:query: + MATCH (n:`POVERTY`) + RETURN COUNT{ (n)--() } AS totalEdgeCount + :result:1 +2024-10-29 15:28:57,773 - lightrag - INFO - _find_node_degree:query: + MATCH (n:`SUNDAY CLOTHES BOY`) + RETURN COUNT{ (n)--() } AS totalEdgeCount + :result:1 +2024-10-29 15:28:57,950 - lightrag - INFO - _find_node_degree:query: + MATCH (n:`THE SOLITARY CHILD`) + RETURN COUNT{ (n)--() } AS totalEdgeCount + :result:0 +2024-10-29 15:28:58,121 - lightrag - INFO - _find_node_degree:query: + MATCH (n:`CITY`) + RETURN COUNT{ (n)--() } AS totalEdgeCount + :result:1 +2024-10-29 15:28:58,305 - lightrag - INFO - _find_node_degree:query: + MATCH (n:`FEARFUL PLACE`) + RETURN COUNT{ (n)--() } AS totalEdgeCount + :result:0 +2024-10-29 15:28:58,507 - lightrag - INFO - _find_node_degree:query: + MATCH (n:`IRON CABLE`) + RETURN COUNT{ (n)--() } AS totalEdgeCount + :result:0 +2024-10-29 15:28:58,677 - lightrag - INFO - _find_node_degree:query: + MATCH (n:`SPIRIT`) + RETURN COUNT{ (n)--() } AS totalEdgeCount + :result:9 +2024-10-29 15:28:58,850 - lightrag - INFO - _find_node_degree:query: + MATCH (n:`THE SETTING SUN`) + RETURN COUNT{ (n)--() } AS totalEdgeCount + :result:1 +2024-10-29 15:28:59,027 - lightrag - INFO - _find_node_degree:query: + MATCH (n:`KEYS`) + RETURN COUNT{ (n)--() } AS totalEdgeCount + :result:0 +2024-10-29 15:28:59,200 - lightrag - INFO - _find_node_degree:query: + MATCH (n:`THE CLOTHES AND ITEMS`) + RETURN COUNT{ (n)--() } AS totalEdgeCount + :result:0 +2024-10-29 15:28:59,373 - lightrag - INFO - _find_node_degree:query: + MATCH (n:`AVARICE`) + RETURN COUNT{ (n)--() } AS totalEdgeCount + :result:0 +2024-10-29 15:28:59,543 - lightrag - INFO - _find_node_degree:query: + MATCH (n:`THE FIREPLACE`) + RETURN COUNT{ (n)--() } AS totalEdgeCount + :result:0 +2024-10-29 15:28:59,720 - lightrag - INFO - _find_node_degree:query: + MATCH (n:`WANT`) + RETURN COUNT{ (n)--() } AS totalEdgeCount + :result:1 +2024-10-29 15:28:59,927 - lightrag - INFO - _find_node_degree:query: + MATCH (n:`THE DAUGHTER`) + RETURN COUNT{ (n)--() } AS totalEdgeCount + :result:1 +2024-10-29 15:29:00,107 - lightrag - INFO - _find_node_degree:query: + MATCH (n:`CHRISTMAS-TIME`) + RETURN COUNT{ (n)--() } AS totalEdgeCount + :result:2 +2024-10-29 15:29:00,279 - lightrag - INFO - _find_node_degree:query: + MATCH (n:`THE BED`) + RETURN COUNT{ (n)--() } AS totalEdgeCount + :result:1 +2024-10-29 15:29:00,450 - lightrag - INFO - _find_node_degree:query: + MATCH (n:`SHADOW OF HIMSELF`) + RETURN COUNT{ (n)--() } AS totalEdgeCount + :result:1 +2024-10-29 15:29:00,623 - lightrag - INFO - _find_node_degree:query: + MATCH (n:`KIND WORD`) + RETURN COUNT{ (n)--() } AS totalEdgeCount + :result:0 +2024-10-29 15:29:00,795 - lightrag - INFO - _find_node_degree:query: + MATCH (n:`GAOL`) + RETURN COUNT{ (n)--() } AS totalEdgeCount + :result:1 +2024-10-29 15:29:00,972 - lightrag - INFO - _find_node_degree:query: + MATCH (n:`IGNORANCE`) + RETURN COUNT{ (n)--() } AS totalEdgeCount + :result:3 +2024-10-29 15:29:01,146 - lightrag - INFO - _find_node_degree:query: + MATCH (n:`CHILDREN`) + RETURN COUNT{ (n)--() } AS totalEdgeCount + :result:2 +2024-10-29 15:29:01,318 - lightrag - INFO - _find_node_degree:query: + MATCH (n:`THE ROOM BY DAYLIGHT`) + RETURN COUNT{ (n)--() } AS totalEdgeCount + :result:0 +2024-10-29 15:29:01,492 - lightrag - INFO - _find_node_degree:query: + MATCH (n:`THE BOTTLE`) + RETURN COUNT{ (n)--() } AS totalEdgeCount + :result:0 +2024-10-29 15:29:01,668 - lightrag - INFO - _find_node_degree:query: + MATCH (n:`THE FLANNEL BAG`) + RETURN COUNT{ (n)--() } AS totalEdgeCount + :result:0 +2024-10-29 15:29:01,844 - lightrag - INFO - _find_node_degree:query: + MATCH (n:`THE YOUNG GIRL`) + RETURN COUNT{ (n)--() } AS totalEdgeCount + :result:1 +2024-10-29 15:29:02,019 - lightrag - INFO - _find_node_degree:query: + MATCH (n:`A CHRISTMAS CAROL`) + RETURN COUNT{ (n)--() } AS totalEdgeCount + :result:3 +2024-10-29 15:29:02,189 - lightrag - INFO - _find_node_degree:query: + MATCH (n:`THE CITY`) + RETURN COUNT{ (n)--() } AS totalEdgeCount + :result:3 +2024-10-29 15:29:02,363 - lightrag - INFO - _find_node_degree:query: + MATCH (n:`GHOST`) + RETURN COUNT{ (n)--() } AS totalEdgeCount + :result:3 +2024-10-29 15:29:02,541 - lightrag - INFO - _find_node_degree:query: + MATCH (n:`MERCILESS CREDITOR`) + RETURN COUNT{ (n)--() } AS totalEdgeCount + :result:0 +2024-10-29 15:29:02,713 - lightrag - INFO - _find_node_degree:query: + MATCH (n:`THE SPIRITS`) + RETURN COUNT{ (n)--() } AS totalEdgeCount + :result:1 +2024-10-29 15:29:02,888 - lightrag - INFO - _find_node_degree:query: + MATCH (n:`THE MOTHER`) + RETURN COUNT{ (n)--() } AS totalEdgeCount + :result:2 +2024-10-29 15:29:03,061 - lightrag - INFO - _find_node_degree:query: + MATCH (n:`LIGHT`) + RETURN COUNT{ (n)--() } AS totalEdgeCount + :result:1 +2024-10-29 15:29:03,236 - lightrag - INFO - _find_node_degree:query: + MATCH (n:`TWO YOUNG CRATCHITS`) + RETURN COUNT{ (n)--() } AS totalEdgeCount + :result:0 +2024-10-29 15:29:03,404 - lightrag - INFO - _find_node_degree:query: + MATCH (n:`JOE`) + RETURN COUNT{ (n)--() } AS totalEdgeCount + :result:2 +2024-10-29 15:29:14,261 - lightrag - INFO - get_node:query:MATCH (n:`PORTLY GENTLEMEN`) RETURN n:result: +2024-10-29 15:29:14,358 - lightrag - INFO - get_node:query:MATCH (n:`THE GHOST OF CHRISTMAS YET TO COME`) RETURN n:result: +2024-10-29 15:29:14,447 - lightrag - INFO - get_node:query:MATCH (n:`THE GIRL`) RETURN n:result:"The Girl is referenced in relation to The Boy, highlighting the dynamics of the young attendees at the Fezziwig\'s celebrations."', 'source_id': 'chunk-8f738cb25d60a7dab782162d9d0a25edchunk-8bc1edd983869352d14cf0886a9175a7'}> +2024-10-29 15:29:14,539 - lightrag - INFO - get_node:query:MATCH (n:`THE OBSCURE PART OF TOWN`) RETURN n:result: +2024-10-29 15:29:14,632 - lightrag - INFO - get_node:query:MATCH (n:`THE PRESENT`) RETURN n:result: +2024-10-29 15:29:14,724 - lightrag - INFO - get_node:query:MATCH (n:`FEZZIWIG`) RETURN n:result:"Fezziwig is a figure representing a cheerful and jovial employer who organizes lively Christmas festivities for his employees.""Fezziwig is a jovial figure from Scrooge\'s past, known for his kind-heartedness and as a former employer who embodies the spirit of Christmas.""Fezziwig is depicted as a joyful character who dances with his wife and embodies the spirit of Christmas."', 'source_id': 'chunk-b2f98bc7abb0c67d4c86055c7fd72218chunk-89777b838d5447c7bd1ec11282c4ee89chunk-c6c248858d1b13ab7ee9ca13c1aeed6bchunk-8bc1edd983869352d14cf0886a9175a7'}> +2024-10-29 15:29:14,817 - lightrag - INFO - get_node:query:MATCH (n:`THE MANSION HOUSE`) RETURN n:result: +2024-10-29 15:29:14,906 - lightrag - INFO - get_node:query:MATCH (n:`SPANISH ONIONS`) RETURN n:result: +2024-10-29 15:29:14,996 - lightrag - INFO - get_node:query:MATCH (n:`GREAT BRITAIN`) RETURN n:result: +2024-10-29 15:29:15,090 - lightrag - INFO - get_node:query:MATCH (n:`BOB CRATCHIT`) RETURN n:result:"Bob Cratchit is Scrooge\'s clerk, who demonstrates a sense of hope and joy, particularly highlighted during Christmas Eve.""Bob Cratchit is Scrooge\'s employee who arrives late to work after celebrating Christmas, displaying a sense of trepidation toward Scrooge.""Bob Cratchit is a character associated with Scrooge, representing the family Scrooge intends to support by sending a turkey.""Bob Cratchit is a character who appears to be the voice of moderation and kindness, attempting to maintain positivity during the family Christmas feast despite Scrooge\'s presence.""Bob Cratchit is depicted as a struggling father, representative of familial love and concern, particularly for his children, including Tiny Tim.""Bob Cratchit is the dedicated clerk of Ebenezer Scrooge, representing the struggles of the working class and the importance of family in A Christmas Carol.""Bob Cratchit is the father of Tiny Tim and the head of the Cratchit family, who expresses joy and gratitude during Christmas dinner.""Bob Cratchit is the father of Tiny Tim, characterized by his kindness and emotional depth, especially in relation to his family\'s struggles.""Bob Cratchit is the father of the Cratchit family, characterized by his warmth and dedication to his family, particularly in caring for Tiny Tim."', 'source_id': 'chunk-83ac129dc9b56f84c46760d153d68e93chunk-503f0bfa5453467c7c61d160a3540ecachunk-90b95db5c53e4364a6bee36b7aa4d70fchunk-b0f459f5af1c3a5e0b92cbe4ee48b77bchunk-1d4b58de5429cd1261370c231c8673e8chunk-d9aac3484185ac66045df92214d245d5chunk-94bea83e7153fc2064aa382b494936a1chunk-7e2e7ebcc19a53b399dc03aded4743e7chunk-9e3921da66da5d761ab73cd849af6c43chunk-19d72c57ae3408758b18d2568e86dc6b'}> +2024-10-29 15:29:15,180 - lightrag - INFO - get_node:query:MATCH (n:`THE PEOPLE`) RETURN n:result: +2024-10-29 15:29:15,269 - lightrag - INFO - get_node:query:MATCH (n:`APPLES`) RETURN n:result: +2024-10-29 15:29:15,359 - lightrag - INFO - get_node:query:MATCH (n:`DICK`) RETURN n:result: +2024-10-29 15:29:15,449 - lightrag - INFO - get_node:query:MATCH (n:`ALMSHOUSE`) RETURN n:result: +2024-10-29 15:29:15,539 - lightrag - INFO - get_node:query:MATCH (n:`SCROOGE`) RETURN n:result:chunk-b2f98bc7abb0c67d4c86055c7fd72218chunk-91614df5cb74cbe5e109a338a82041e9chunk-8f738cb25d60a7dab782162d9d0a25edchunk-e7637ff18c5ded77a68cce0a87883fadchunk-d9aac3484185ac66045df92214d245d5chunk-90b95db5c53e4364a6bee36b7aa4d70fchunk-89777b838d5447c7bd1ec11282c4ee89chunk-c6c248858d1b13ab7ee9ca13c1aeed6bchunk-5dac41b3f9eeaf794f0147400b1718cdchunk-773d0df1dd25c356f7b771d780583e09chunk-843b5b2f944c7413d9ca876e2e2f151fchunk-f1a4fbcf1ed86864b9bfd5e8dba4c683chunk-359187e7571bda4b0b08b2e0b6581e52chunk-503f0bfa5453467c7c61d160a3540ecachunk-9c43dac2fcd5b578242d907ea6f8fc7bchunk-b0f459f5af1c3a5e0b92cbe4ee48b77bchunk-1aa50206d02ed89418f65f97c6441d1cchunk-54bdd22db1f84a965b5f4c06c9216d8dchunk-cb661c37436355ccec2769b1d0350c5fchunk-90d5764e301321c087f5a8f78b73a145chunk-91572b3cd42786ba4cb2f180ca25cbf4chunk-da2472b4ef2a535b62908f14d0fb0ca9chunk-99b0ec7f7e006561352b5d65e849611dchunk-43c9bee23adfa77aa9dedd22401bba7dchunk-83ac129dc9b56f84c46760d153d68e93chunk-e1f29eeadc1d8ab46dc8a0bbd3c56b64chunk-8590d9263cd2cd4fa583c432fc54e6c3chunk-02baee20cc9463dbe08170a8e1043e32chunk-94bea83e7153fc2064aa382b494936a1chunk-74e2466de2f67fd710ef2f20c0a8d9e0chunk-19d72c57ae3408758b18d2568e86dc6b'}> +2024-10-29 15:29:15,631 - lightrag - INFO - get_node:query:MATCH (n:`MASTER SCROOGE`) RETURN n:result: +2024-10-29 15:29:15,715 - lightrag - INFO - get_node:query:MATCH (n:`FOG`) RETURN n:result:"Fog is a weather phenomenon that adds to the bleak atmosphere, reflecting the obscurity and confusion in Scrooge\'s life."', 'source_id': 'chunk-d9aac3484185ac66045df92214d245d5chunk-74e2466de2f67fd710ef2f20c0a8d9e0'}> +2024-10-29 15:29:15,803 - lightrag - INFO - get_node:query:MATCH (n:`MARKET-TOWN`) RETURN n:result: +2024-10-29 15:29:15,894 - lightrag - INFO - get_node:query:MATCH (n:`CAMDEN TOWN`) RETURN n:result:"Camden Town is a location where Bob Cratchit runs home to celebrate Christmas Eve, representing a more joyful and lively setting."', 'source_id': 'chunk-d9aac3484185ac66045df92214d245d5chunk-8f738cb25d60a7dab782162d9d0a25ed'}> +2024-10-29 15:29:15,983 - lightrag - INFO - get_node:query:MATCH (n:`THE GRATE`) RETURN n:result: +2024-10-29 15:29:16,082 - lightrag - INFO - get_node:query:MATCH (n:`THE THREE SPIRITS`) RETURN n:result: +2024-10-29 15:29:16,178 - lightrag - INFO - get_node:query:MATCH (n:`CHRISTMAS-TIME`) RETURN n:result:"Christmas-time represents the festive season, a recurring theme that evokes memories and emotions in Scrooge’s reflections.""Christmas-time serves as a backdrop for the narrative, emphasizing themes of reflection, mortality, and social interactions."', 'source_id': 'chunk-f1a4fbcf1ed86864b9bfd5e8dba4c683chunk-c6c248858d1b13ab7ee9ca13c1aeed6bchunk-5dac41b3f9eeaf794f0147400b1718cd'}> +2024-10-29 15:29:16,269 - lightrag - INFO - get_node:query:MATCH (n:`THE MAIN STREET`) RETURN n:result: +2024-10-29 15:29:16,361 - lightrag - INFO - get_node:query:MATCH (n:`THE GRAVE`) RETURN n:result: +2024-10-29 15:29:16,450 - lightrag - INFO - get_node:query:MATCH (n:`GHOST OF CHRISTMAS PAST`) RETURN n:result:"The Ghost of Christmas Past is a supernatural entity that aids Scrooge in reflecting on his past experiences and emotions."', 'source_id': 'chunk-bb21d58d36c6306fd8810ddd51c4a971chunk-9e3921da66da5d761ab73cd849af6c43'}> +2024-10-29 15:29:16,537 - lightrag - INFO - get_node:query:MATCH (n:`THE DRESSING-GOWN`) RETURN n:result: +2024-10-29 15:29:16,623 - lightrag - INFO - get_node:query:MATCH (n:`THE MOTHER`) RETURN n:result:"The Mother is a character associated with the family dynamics during the Christmas scene, though her actions are not explicitly detailed.""The Mother is depicted as a comely matron, who enjoys the laughter and chaos with her children, showing warmth and family value."', 'source_id': 'chunk-da2472b4ef2a535b62908f14d0fb0ca9chunk-83ac129dc9b56f84c46760d153d68e93chunk-54bdd22db1f84a965b5f4c06c9216d8d'}> +2024-10-29 15:29:16,713 - lightrag - INFO - get_node:query:MATCH (n:`FROST`) RETURN n:result: +2024-10-29 15:29:16,802 - lightrag - INFO - get_node:query:MATCH (n:`SPIRIT`) RETURN n:result:"The Spirit embodies the lessons of compassion and social responsibility, guiding Scrooge through his reflections and realizations.""The Spirit is the manifestation of Scrooge\'s past that guides him through his memories, representing his former self and the influence of time.""The Spirit represents a ghostly entity, guiding Scrooge through visions of potential future events and urging him to acknowledge societal issues.""The Spirit represents a supernatural entity guiding Scrooge through his reflections on life, death, and human emotions, prompting self-awareness.""The Spirit represents the embodiment of the Christmas present, personifying the themes of generosity and merriment."', 'source_id': 'chunk-bb21d58d36c6306fd8810ddd51c4a971chunk-83ac129dc9b56f84c46760d153d68e93chunk-e7637ff18c5ded77a68cce0a87883fadchunk-843b5b2f944c7413d9ca876e2e2f151fchunk-1aa50206d02ed89418f65f97c6441d1cchunk-02baee20cc9463dbe08170a8e1043e32'}> +2024-10-29 15:29:16,891 - lightrag - INFO - get_node:query:MATCH (n:`THE GHOST OF JACOB MARLEY`) RETURN n:result: +2024-10-29 15:29:16,983 - lightrag - INFO - get_node:query:MATCH (n:`MRS. CRATCHIT`) RETURN n:result:"Mrs. Cratchit is Bob Cratchit\'s supportive wife, who strives to provide for her family despite their financial struggles and embodies resilience.""Mrs. Cratchit is Bob\'s wife who prepares the Christmas pudding, showcasing her pride and care in family traditions.""Mrs. Cratchit is Bob\'s wife, a supportive mother who manages the household while showing concern for her children\'s well-being.""Mrs. Cratchit is Bob\'s wife, portrayed as making an effort to prepare a festive atmosphere despite their financial struggles.""Mrs. Cratchit is a character who shows affection towards Bob, enhancing the family dynamic.""Mrs. Cratchit is the mother in the family who prepares the meal and shows warmth and attentiveness towards her family members during their Christmas celebration."', 'source_id': 'chunk-503f0bfa5453467c7c61d160a3540ecachunk-b0f459f5af1c3a5e0b92cbe4ee48b77bchunk-91572b3cd42786ba4cb2f180ca25cbf4chunk-1d4b58de5429cd1261370c231c8673e8chunk-7e2e7ebcc19a53b399dc03aded4743e7chunk-9e3921da66da5d761ab73cd849af6c43chunk-19d72c57ae3408758b18d2568e86dc6b'}> +2024-10-29 15:29:17,073 - lightrag - INFO - get_node:query:MATCH (n:`PROJECT GUTENBERG`) RETURN n:result:"Project Gutenberg is a digital library providing free access to a wide range of eBooks, primarily in the United States and other regions, under specific licensing terms.""Project Gutenberg is an organization dedicated to the free distribution of electronic works and the preservation of the cultural heritage by providing access to public domain literature."', 'source_id': 'chunk-194cd9680f4967f48bea89678f7ece21chunk-af4ae173c561e4594c5aea96198cce9dchunk-9e3921da66da5d761ab73cd849af6c43'}> +2024-10-29 15:29:17,162 - lightrag - INFO - get_node:query:MATCH (n:`THE BED`) RETURN n:result: +2024-10-29 15:29:17,250 - lightrag - INFO - get_node:query:MATCH (n:`THE DECEASED`) RETURN n:result: +2024-10-29 15:29:17,339 - lightrag - INFO - get_node:query:MATCH (n:`HUMANITY`) RETURN n:result: +2024-10-29 15:29:17,429 - lightrag - INFO - get_node:query:MATCH (n:`CLERK`) RETURN n:result: +2024-10-29 15:29:17,522 - lightrag - INFO - get_node:query:MATCH (n:`BELLE`) RETURN n:result: +2024-10-29 15:29:17,609 - lightrag - INFO - get_node:query:MATCH (n:`THE SPIRIT`) RETURN n:result:"The Spirit is the entity that guides Scrooge through memories, prompting reflections on his past during the Christmas season.""The Spirit refers to an embodiment of the Christmas message that represents moral guidance and introspection in Scrooge\'s life.""The Spirit refers to the Ghost of Christmas Present, a supernatural figure that guides Scrooge through lessons about generosity and community.""The Spirit refers to the supernatural essence of the Ghost of Christmas Past, embodying the idea of reflection and memory.""The Spirit refers to the supernatural influences that visit Scrooge, particularly the second of the Three Spirits.""The Spirit represents the essence of Christmas cheer and generosity, influencing the atmosphere and morale during the feast.""The Spirit represents the supernatural presence urging Scrooge to reflect deeply on the consequences of his life choices, particularly in relation to Death."', 'source_id': 'chunk-b2f98bc7abb0c67d4c86055c7fd72218chunk-e1f29eeadc1d8ab46dc8a0bbd3c56b64chunk-b0f459f5af1c3a5e0b92cbe4ee48b77bchunk-8590d9263cd2cd4fa583c432fc54e6c3chunk-91572b3cd42786ba4cb2f180ca25cbf4chunk-da2472b4ef2a535b62908f14d0fb0ca9chunk-91614df5cb74cbe5e109a338a82041e9chunk-19d72c57ae3408758b18d2568e86dc6b'}> +2024-10-29 15:29:17,698 - lightrag - INFO - get_node:query:MATCH (n:`THE LOW-BROWED SHOP`) RETURN n:result: +2024-10-29 15:29:17,784 - lightrag - INFO - get_node:query:MATCH (n:`THE KNOCKER`) RETURN n:result:"The Knocker is an ornate door knocker that Scrooge admires, reflecting his newfound appreciation for simple joys.""The Knocker on the door serves as a symbolic gateway to the supernatural events, being the first point of eerie interaction for Scrooge."', 'source_id': 'chunk-d9aac3484185ac66045df92214d245d5chunk-8f738cb25d60a7dab782162d9d0a25edchunk-9c43dac2fcd5b578242d907ea6f8fc7b'}> +2024-10-29 15:29:17,872 - lightrag - INFO - get_node:query:MATCH (n:`THE SPIRITS`) RETURN n:result:"The Spirits represent the past, present, and future in Scrooge\'s life, guiding him toward redemption and self-reflection."', 'source_id': 'chunk-90b95db5c53e4364a6bee36b7aa4d70fchunk-cb661c37436355ccec2769b1d0350c5f'}> +2024-10-29 15:29:17,965 - lightrag - INFO - get_node:query:MATCH (n:`SCROOGE'S NEPHEW`) RETURN n:result:"Scrooge\'s Nephew is characterized by his contagious laughter and good humor, contrasting with his uncle\'s miserliness.""Scrooge\'s Nephew is portrayed as optimistic about Christmas, emphasizing its positive qualities despite Scrooge\'s negativity.""Scrooge\'s nephew is a character present at the gathering who actively participates in the games and engages with his family."', 'source_id': 'chunk-43c9bee23adfa77aa9dedd22401bba7dchunk-773d0df1dd25c356f7b771d780583e09chunk-74e2466de2f67fd710ef2f20c0a8d9e0chunk-5dac41b3f9eeaf794f0147400b1718cd'}> +2024-10-29 15:29:18,053 - lightrag - INFO - get_node:query:MATCH (n:`THE CLOCK`) RETURN n:result:"The Clock is mentioned as malfunctioning, which symbolizes the confusion and distortion of time that Scrooge experiences during his nighttime visitations."', 'source_id': 'chunk-c7b10789a9cb0af6c553730b29bd9034chunk-cb661c37436355ccec2769b1d0350c5f'}> +2024-10-29 15:29:18,144 - lightrag - INFO - get_node:query:MATCH (n:`LONDON`) RETURN n:result:"London serves as the setting where the events take place, adding a cultural backdrop to the Christmas gathering."', 'source_id': 'chunk-d9aac3484185ac66045df92214d245d5chunk-43c9bee23adfa77aa9dedd22401bba7d'}> +2024-10-29 15:29:18,238 - lightrag - INFO - get_node:query:MATCH (n:`GEESE`) RETURN n:result:"Geese are included in the festive feast, representing the bounty and celebration associated with Christmas."', 'source_id': 'chunk-843b5b2f944c7413d9ca876e2e2f151fchunk-99b0ec7f7e006561352b5d65e849611d'}> +2024-10-29 15:29:18,327 - lightrag - INFO - get_node:query:MATCH (n:`CHESTNUTS`) RETURN n:result: +2024-10-29 15:29:18,420 - lightrag - INFO - get_node:query:MATCH (n:`SUNDAY CLOTHES BOY`) RETURN n:result: +2024-10-29 15:29:18,518 - lightrag - INFO - get_node:query:MATCH (n:`THE CHURCH`) RETURN n:result: +2024-10-29 15:29:18,609 - lightrag - INFO - get_node:query:MATCH (n:`DICK WILKINS`) RETURN n:result:"Dick Wilkins is Scrooge\'s fellow apprentice and close companion during his younger years, indicating camaraderie during their apprenticeship."', 'source_id': 'chunk-c6c248858d1b13ab7ee9ca13c1aeed6bchunk-8bc1edd983869352d14cf0886a9175a7'}> +2024-10-29 15:29:18,696 - lightrag - INFO - get_node:query:MATCH (n:`GHOST`) RETURN n:result:"The Ghost refers to the spirit guiding Scrooge, embodying the themes of memory and reflection on the joys of Christmas.""The Ghost represents a spiritual guide that takes Scrooge on a journey to learn important lessons about compassion and humanity.""The Ghost serves as a supernatural guide for Scrooge, prompting him to reflect on his life and choices."', 'source_id': 'chunk-503f0bfa5453467c7c61d160a3540ecachunk-c6c248858d1b13ab7ee9ca13c1aeed6bchunk-e7637ff18c5ded77a68cce0a87883fadchunk-43c9bee23adfa77aa9dedd22401bba7d'}> +2024-10-29 15:29:18,783 - lightrag - INFO - get_node:query:MATCH (n:`THE CLERK`) RETURN n:result:"The Clerk is an employee of Scrooge, who quietly awaits the end of the workday and represents the working class.""The Clerk works in Scrooge\'s counting-house, depicted as miserable and diminished under Scrooge\'s strict management."', 'source_id': 'chunk-90d5764e301321c087f5a8f78b73a145chunk-74e2466de2f67fd710ef2f20c0a8d9e0chunk-5dac41b3f9eeaf794f0147400b1718cd'}> +2024-10-29 15:29:18,870 - lightrag - INFO - get_node:query:MATCH (n:`SCHOOL`) RETURN n:result: +2024-10-29 15:29:18,961 - lightrag - INFO - get_node:query:MATCH (n:`THE FUNERAL`) RETURN n:result: +2024-10-29 15:29:19,050 - lightrag - INFO - get_node:query:MATCH (n:`MANKIND`) RETURN n:result: +2024-10-29 15:29:19,138 - lightrag - INFO - get_node:query:MATCH (n:`GHOST OF CHRISTMAS YET TO COME`) RETURN n:result:"The Ghost of Christmas Yet to Come is an event within the story that signifies Scrooge\'s confrontation with the future consequences of his actions."', 'source_id': 'chunk-9e3921da66da5d761ab73cd849af6c43chunk-02baee20cc9463dbe08170a8e1043e32'}> +2024-10-29 15:29:19,233 - lightrag - INFO - get_node:query:MATCH (n:`THE POULTERER'S`) RETURN n:result: +2024-10-29 15:29:19,324 - lightrag - INFO - get_node:query:MATCH (n:`SCROOGE'S NIECE`) RETURN n:result:"Scrooge\'s niece is depicted as a joyful participant in the evening\'s festivities, engaging in games and music."', 'source_id': 'chunk-773d0df1dd25c356f7b771d780583e09chunk-43c9bee23adfa77aa9dedd22401bba7d'}> +2024-10-29 15:29:19,415 - lightrag - INFO - get_node:query:MATCH (n:`TINY TIM`) RETURN n:result:"Tiny Tim is a member of the Cratchit family, who represents the innocence and impact of Scrooge\'s generosity.""Tiny Tim is a symbol of innocence and vulnerability within the Cratchit family, evoking compassion and highlighting the harsh realities of illness and poverty.""Tiny Tim is a symbolic character representing innocence and the impact of loss on family cohesion.""Tiny Tim is a young boy in the Cratchit family, characterized by his spirit and resilience despite being a cripple, symbolizing hope and kindness during Christmas.""Tiny Tim is a young boy in the Cratchit family, who is portrayed as frail yet joyous and embodies the spirit of Christmas.""Tiny Tim is a young child in the Cratchit family, whose health and well-being are of great concern to his family, and he is remembered fondly.""Tiny Tim is depicted as a vulnerable child who participates in the Christmas toast but seems indifferent to it, symbolizing the family\'s struggles.""Tiny Tim, the son of Bob Cratchit, is a sickly child whose positive outlook on life symbolizes hope and compassion in A Christmas Carol."', 'source_id': 'chunk-83ac129dc9b56f84c46760d153d68e93chunk-503f0bfa5453467c7c61d160a3540ecachunk-91572b3cd42786ba4cb2f180ca25cbf4chunk-1d4b58de5429cd1261370c231c8673e8chunk-90b95db5c53e4364a6bee36b7aa4d70fchunk-94bea83e7153fc2064aa382b494936a1chunk-7e2e7ebcc19a53b399dc03aded4743e7chunk-9e3921da66da5d761ab73cd849af6c43chunk-19d72c57ae3408758b18d2568e86dc6b'}> +2024-10-29 15:29:19,508 - lightrag - INFO - get_node:query:MATCH (n:`TOPPER`) RETURN n:result:"Topper is a character who participates in the dinner and seems to have an interest in one of Scrooge\'s niece\'s sisters.""Topper is a guest at the Christmas party, representing the jovial and festive spirit of the gathering with Fred and Scrooge."', 'source_id': 'chunk-94bea83e7153fc2064aa382b494936a1chunk-773d0df1dd25c356f7b771d780583e09chunk-43c9bee23adfa77aa9dedd22401bba7d'}> +2024-10-29 15:29:19,600 - lightrag - INFO - get_node:query:MATCH (n:`THE BELL`) RETURN n:result:"The Bell is described as a disused bell that starts to swing and ring during the haunting, signifying the onset of supernatural occurrences."', 'source_id': 'chunk-9c43dac2fcd5b578242d907ea6f8fc7bchunk-cb661c37436355ccec2769b1d0350c5f'}> +2024-10-29 15:29:19,689 - lightrag - INFO - get_node:query:MATCH (n:`CHRISTMAS CAROL`) RETURN n:result:"The Christmas Carol is a musical tradition performed during the Christmas season, symbolizing goodwill and festive spirit."', 'source_id': 'chunk-90d5764e301321c087f5a8f78b73a145chunk-8590d9263cd2cd4fa583c432fc54e6c3'}> +2024-10-29 15:29:19,780 - lightrag - INFO - get_node:query:MATCH (n:`THE BOY`) RETURN n:result:"The Boy is a young messenger who interacts with Scrooge during his purchase of the turkey."', 'source_id': 'chunk-8f738cb25d60a7dab782162d9d0a25edchunk-8bc1edd983869352d14cf0886a9175a7'}> +2024-10-29 15:29:19,869 - lightrag - INFO - get_node:query:MATCH (n:`THE FATHER`) RETURN n:result: +2024-10-29 15:29:19,960 - lightrag - INFO - get_node:query:MATCH (n:`THE FUTURE`) RETURN n:result:"The Future represents the potential outcomes of Scrooge’s life choices, depicted through the visions shown by the Spirits."', 'source_id': 'chunk-91572b3cd42786ba4cb2f180ca25cbf4chunk-02baee20cc9463dbe08170a8e1043e32'}> +2024-10-29 15:29:20,053 - lightrag - INFO - get_node:query:MATCH (n:`HOSPITAL`) RETURN n:result: +2024-10-29 15:29:20,142 - lightrag - INFO - get_node:query:MATCH (n:`THE HOUSE`) RETURN n:result:"The House is the setting where Scrooge experiences the haunting, with a description of its features contributing to the eerie atmosphere."', 'source_id': 'chunk-da2472b4ef2a535b62908f14d0fb0ca9chunk-9c43dac2fcd5b578242d907ea6f8fc7b'}> +2024-10-29 15:29:20,232 - lightrag - INFO - get_node:query:MATCH (n:`THE GHOST OF CHRISTMAS FUTURE`) RETURN n:result: +2024-10-29 15:29:20,322 - lightrag - INFO - get_node:query:MATCH (n:`VALENTINE`) RETURN n:result: +2024-10-29 15:29:20,410 - lightrag - INFO - get_node:query:MATCH (n:`LITTLE FAN`) RETURN n:result: +2024-10-29 15:29:20,513 - lightrag - INFO - get_node:query:MATCH (n:`BUSINESSMEN`) RETURN n:result: +2024-10-29 15:29:20,607 - lightrag - INFO - get_node:query:MATCH (n:`FRIDAY`) RETURN n:result: +2024-10-29 15:29:20,695 - lightrag - INFO - get_node:query:MATCH (n:`THE WAREHOUSE`) RETURN n:result:"The Warehouse is the setting for Fezziwig\'s celebrations, transformed into a ballroom for the festivities."', 'source_id': 'chunk-c6c248858d1b13ab7ee9ca13c1aeed6bchunk-8bc1edd983869352d14cf0886a9175a7'}> +2024-10-29 15:29:20,782 - lightrag - INFO - get_node:query:MATCH (n:`IGNORANCE`) RETURN n:result:"Ignorance is personified as a boy that symbolizes the dangers of ignoring social issues and the consequences of a lack of awareness."', 'source_id': 'chunk-02baee20cc9463dbe08170a8e1043e32chunk-e7637ff18c5ded77a68cce0a87883fad'}> +2024-10-29 15:29:20,873 - lightrag - INFO - get_node:query:MATCH (n:`THE YOUNG GIRL`) RETURN n:result: +2024-10-29 15:29:20,961 - lightrag - INFO - get_node:query:MATCH (n:`THE GHOST`) RETURN n:result:"The Ghost is a supernatural entity that shows Scrooge scenes from his past to provoke realization and remorse.""The Ghost refers specifically to the supernatural presence guiding Scrooge through his reflections and past experiences.""The Ghost represents the spirit of Jacob Marley, warning Scrooge about the aftereffects of neglecting human virtue and kindness during life.""The Ghost represents various spectral entities that visit Scrooge to facilitate his transformation by highlighting the consequences of his actions.""The Ghost serves as a guiding presence that helps Scrooge confront and reflect on his past during Christmas."', 'source_id': 'chunk-8590d9263cd2cd4fa583c432fc54e6c3chunk-54bdd22db1f84a965b5f4c06c9216d8dchunk-1aa50206d02ed89418f65f97c6441d1cchunk-02baee20cc9463dbe08170a8e1043e32chunk-da2472b4ef2a535b62908f14d0fb0ca9chunk-359187e7571bda4b0b08b2e0b6581e52'}> +2024-10-29 15:29:21,055 - lightrag - INFO - get_node:query:MATCH (n:`ALI BABA`) RETURN n:result: +2024-10-29 15:29:21,146 - lightrag - INFO - get_node:query:MATCH (n:`THE BLANKETS`) RETURN n:result: +2024-10-29 15:29:21,237 - lightrag - INFO - get_node:query:MATCH (n:`MARLEY`) RETURN n:result:"Marley is Scrooge\'s deceased partner whose death is emphasized, and who impacts Scrooge\'s story through memories and reflections.""Marley is a character who, although only mentioned, has had a significant influence on Scrooge\'s life and perspective, representing his past connections.""Marley is a deceased character whose ghost appears to Scrooge, representing regret and the consequences of a life led without compassion."', 'source_id': 'chunk-d9aac3484185ac66045df92214d245d5chunk-843b5b2f944c7413d9ca876e2e2f151fchunk-89777b838d5447c7bd1ec11282c4ee89chunk-9c43dac2fcd5b578242d907ea6f8fc7b'}> +2024-10-29 15:29:21,326 - lightrag - INFO - get_node:query:MATCH (n:`BOB`) RETURN n:result:"Bob is referenced humorously by Scrooge in the context of a joke regarding a large turkey."', 'source_id': 'chunk-8f738cb25d60a7dab782162d9d0a25edchunk-91572b3cd42786ba4cb2f180ca25cbf4'}> +2024-10-29 15:29:21,416 - lightrag - INFO - get_node:query:MATCH (n:`ORSON`) RETURN n:result: +2024-10-29 15:29:21,510 - lightrag - INFO - get_node:query:MATCH (n:`TURKEYS`) RETURN n:result:"Turkeys represent a common food item associated with the Christmas feast, highlighting the culinary aspects of the celebration."', 'source_id': 'chunk-843b5b2f944c7413d9ca876e2e2f151fchunk-99b0ec7f7e006561352b5d65e849611d'}> +2024-10-29 15:29:21,603 - lightrag - INFO - get_node:query:MATCH (n:`THE GROCERS`) RETURN n:result: +2024-10-29 15:29:21,694 - lightrag - INFO - get_node:query:MATCH (n:`THE GHOST OF CHRISTMAS PRESENT`) RETURN n:result:"The Ghost of Christmas Present is a supernatural being that shows Scrooge the true spirit of Christmas, including kindness towards the poor.""The Ghost of Christmas Present signifies abundance and the spirit of joy that Scrooge is encouraged to embrace."', 'source_id': 'chunk-90b95db5c53e4364a6bee36b7aa4d70fchunk-43c9bee23adfa77aa9dedd22401bba7dchunk-b0f459f5af1c3a5e0b92cbe4ee48b77b'}> +2024-10-29 15:29:21,781 - lightrag - INFO - get_node:query:MATCH (n:`GAOL`) RETURN n:result: +2024-10-29 15:29:21,869 - lightrag - INFO - get_node:query:MATCH (n:`THE COLD`) RETURN n:result: +2024-10-29 15:29:21,959 - lightrag - INFO - get_node:query:MATCH (n:`CHARLES DICKENS`) RETURN n:result: +2024-10-29 15:29:22,054 - lightrag - INFO - get_node:query:MATCH (n:`THE WOMAN`) RETURN n:result:"The Woman is a character involved in the dialogue about the deceased\'s belongings, showing a carefree attitude towards their former owner.""The Woman is a character who enters the shop with a heavy bundle and demonstrates a bold and defiant demeanor, eager to take part in the conversation about the deceased\'s belongings."', 'source_id': 'chunk-60fc063c79fc0d4acc91a57e79de04dcchunk-89777b838d5447c7bd1ec11282c4ee89chunk-e1f29eeadc1d8ab46dc8a0bbd3c56b64'}> +2024-10-29 15:29:22,146 - lightrag - INFO - get_node:query:MATCH (n:`THE BUSINESSMEN`) RETURN n:result: +2024-10-29 15:29:22,234 - lightrag - INFO - get_node:query:MATCH (n:`FIGS`) RETURN n:result: +2024-10-29 15:29:22,327 - lightrag - INFO - get_node:query:MATCH (n:`DEATH`) RETURN n:result:"Death is described as a powerful force in the narrative, represented through the imagery of a cold, rigid presence and the contemplation of mortality.""Death refers to the passing of a character that triggers a range of emotions and reflections among the living, influencing their lives and relationships."', 'source_id': 'chunk-e1f29eeadc1d8ab46dc8a0bbd3c56b64chunk-83ac129dc9b56f84c46760d153d68e93chunk-02baee20cc9463dbe08170a8e1043e32'}> +2024-10-29 15:29:22,418 - lightrag - INFO - get_node:query:MATCH (n:`CHRISTMAS DAY`) RETURN n:result:"Christmas Day is a significant holiday that marks the time of Scrooge\'s revelation and intent to change.""Christmas Day is celebrated by the Cratchit family with a communal meal and expressions of joy and togetherness, highlighting the importance of family and gratitude.""Christmas Day serves as the central event around which the family gathers and reflects on their feelings towards Scrooge."', 'source_id': 'chunk-90b95db5c53e4364a6bee36b7aa4d70fchunk-19d72c57ae3408758b18d2568e86dc6bchunk-7e2e7ebcc19a53b399dc03aded4743e7chunk-b0f459f5af1c3a5e0b92cbe4ee48b77b'}> +2024-10-29 15:29:22,510 - lightrag - INFO - get_node:query:MATCH (n:`HOLLY`) RETURN n:result:"Holly is a plant associated with Christmas, mentioned among other decorations that contribute to the festive atmosphere."', 'source_id': 'chunk-843b5b2f944c7413d9ca876e2e2f151fchunk-99b0ec7f7e006561352b5d65e849611d'}> +2024-10-29 15:29:22,599 - lightrag - INFO - get_node:query:MATCH (n:`WANT`) RETURN n:result: +2024-10-29 15:29:22,689 - lightrag - INFO - get_node:query:MATCH (n:`FRED`) RETURN n:result:"Fred is Scrooge\'s nephew who expresses admiration for his uncle and proposes a toast in his honor during a Christmas gathering.""Fred is Scrooge\'s nephew, mentioned in the context of Scrooge\'s visit to his house.""Fred is Scrooge\'s nephew, representing the warmth and joy of family that Scrooge initially rejects.""Fred is Scrooge\'s niece by marriage who expresses surprise and warmth at Scrooge\'s unexpected visit for dinner."', 'source_id': 'chunk-8f738cb25d60a7dab782162d9d0a25edchunk-e7637ff18c5ded77a68cce0a87883fadchunk-94bea83e7153fc2064aa382b494936a1chunk-89777b838d5447c7bd1ec11282c4ee89chunk-9e3921da66da5d761ab73cd849af6c43'}> +2024-10-29 15:29:22,779 - lightrag - INFO - get_node:query:MATCH (n:`THE PHANTOM`) RETURN n:result: +2024-10-29 15:29:22,869 - lightrag - INFO - get_node:query:MATCH (n:`ROBIN CRUSOE`) RETURN n:result: +2024-10-29 15:29:22,958 - lightrag - INFO - get_node:query:MATCH (n:`THE GENTLEMAN`) RETURN n:result: +2024-10-29 15:29:23,048 - lightrag - INFO - get_node:query:MATCH (n:`THE COUNTING-HOUSE`) RETURN n:result:"The Counting-House is where Scrooge works and is characterized by its cold and unwelcoming environment."', 'source_id': 'chunk-d9aac3484185ac66045df92214d245d5chunk-74e2466de2f67fd710ef2f20c0a8d9e0'}> +2024-10-29 15:29:23,136 - lightrag - INFO - get_node:query:MATCH (n:`THE FROZEN MOOR`) RETURN n:result: +2024-10-29 15:29:23,222 - lightrag - INFO - get_node:query:MATCH (n:`THE TURKEY`) RETURN n:result: +2024-10-29 15:29:23,312 - lightrag - INFO - get_node:query:MATCH (n:`DARKNESS`) RETURN n:result: +2024-10-29 15:29:23,401 - lightrag - INFO - get_node:query:MATCH (n:`CHRISTMAS EVE`) RETURN n:result:"Christmas Eve is the night before Christmas, serving as the backdrop for the lively celebrations and dances hosted by Fezziwig.""Christmas Eve is the specific time setting in the story, highlighting the contrast between the joy of the holiday and Scrooge\'s negativity."', 'source_id': 'chunk-d9aac3484185ac66045df92214d245d5chunk-8bc1edd983869352d14cf0886a9175a7chunk-74e2466de2f67fd710ef2f20c0a8d9e0'}> +2024-10-29 15:29:23,490 - lightrag - INFO - get_node:query:MATCH (n:`THE GHOST OF MARLEY`) RETURN n:result: +2024-10-29 15:29:23,577 - lightrag - INFO - get_node:query:MATCH (n:`WEALTH`) RETURN n:result: +2024-10-29 15:29:23,665 - lightrag - INFO - get_node:query:MATCH (n:`FRENCH PLUMS`) RETURN n:result: +2024-10-29 15:29:23,761 - lightrag - INFO - get_node:query:MATCH (n:`CHILDREN`) RETURN n:result:"The Children represent the joyful, carefree aspects of Scrooge\'s past, embodying happiness and the innocence of youth that he has long forgotten."', 'source_id': 'chunk-bb21d58d36c6306fd8810ddd51c4a971chunk-e7637ff18c5ded77a68cce0a87883fad'}> +2024-10-29 15:29:23,854 - lightrag - INFO - get_node:query:MATCH (n:`MARLEY'S GHOST`) RETURN n:result:"Marley\'s Ghost is a spectral visitation that deeply troubles Scrooge and causes him great perplexity, leading him to question the reality of his experiences.""Marley\'s Ghost represents the supernatural apparition of Marley, who has been dead for seven years and symbolizes regret and warning to Scrooge."', 'source_id': 'chunk-c7b10789a9cb0af6c553730b29bd9034chunk-9c43dac2fcd5b578242d907ea6f8fc7bchunk-cb661c37436355ccec2769b1d0350c5f'}> +2024-10-29 15:29:23,942 - lightrag - INFO - get_node:query:MATCH (n:`JACOB MARLEY`) RETURN n:result:"Jacob Marley is Scrooge\'s deceased business partner, who appears as a ghost to warn Scrooge of his impending fate and the need for change.""Jacob Marley is a deceased character who symbolizes the consequences of a life led without compassion, influencing Scrooge\'s redemption.""Jacob Marley is a ghost who appears to Scrooge, having been his business partner in life, and is now bound by chains that signify his earthly ties and regrets.""Jacob Marley is the ghost of Scrooge\'s former business partner, who seeks to impart a lesson about the consequences of a life lived without compassion or connection to humanity.""Jacob Marley is the ghost who represents Scrooge\'s past and serves as a catalyst for his change."', 'source_id': 'chunk-90b95db5c53e4364a6bee36b7aa4d70fchunk-1aa50206d02ed89418f65f97c6441d1cchunk-02baee20cc9463dbe08170a8e1043e32chunk-91572b3cd42786ba4cb2f180ca25cbf4chunk-da2472b4ef2a535b62908f14d0fb0ca9chunk-359187e7571bda4b0b08b2e0b6581e52'}> +2024-10-29 15:29:24,031 - lightrag - INFO - get_node:query:MATCH (n:`MAN`) RETURN n:result: +2024-10-29 15:29:24,119 - lightrag - INFO - get_node:query:MATCH (n:`TWELFTH-NIGHT PARTY`) RETURN n:result: +2024-10-29 15:29:24,207 - lightrag - INFO - get_node:query:MATCH (n:`PEARS`) RETURN n:result: +2024-10-29 15:29:24,296 - lightrag - INFO - get_node:query:MATCH (n:`MULTITUDES`) RETURN n:result: +2024-10-29 15:29:24,388 - lightrag - INFO - get_node:query:MATCH (n:`JACOB`) RETURN n:result: +2024-10-29 15:29:24,480 - lightrag - INFO - get_node:query:MATCH (n:`THE PAST`) RETURN n:result: +2024-10-29 15:29:24,573 - lightrag - INFO - get_node:query:MATCH (n:`ARTHUR RACKHAM`) RETURN n:result: +2024-10-29 15:29:24,660 - lightrag - INFO - get_node:query:MATCH (n:`BAD REPUTE`) RETURN n:result: +2024-10-29 15:29:24,751 - lightrag - INFO - get_node:query:MATCH (n:`THE SCHOOLMASTER`) RETURN n:result: +2024-10-29 15:29:24,837 - lightrag - INFO - get_node:query:MATCH (n:`THE REGISTER`) RETURN n:result: +2024-10-29 15:29:24,928 - lightrag - INFO - get_node:query:MATCH (n:`MISTLETOE`) RETURN n:result: +2024-10-29 15:29:25,021 - lightrag - INFO - get_node:query:MATCH (n:`SHADOW OF HIMSELF`) RETURN n:result: +2024-10-29 15:29:25,109 - lightrag - INFO - get_node:query:MATCH (n:`THE CASK`) RETURN n:result: +2024-10-29 15:29:25,200 - lightrag - INFO - get_node:query:MATCH (n:`THE DAUGHTER`) RETURN n:result: +2024-10-29 15:29:25,310 - lightrag - INFO - get_node:query:MATCH (n:`THE LAMPLIGHTER`) RETURN n:result: +2024-10-29 15:29:25,402 - lightrag - INFO - get_node:query:MATCH (n:`GHOST OF CHRISTMAS PRESENT`) RETURN n:result:"The Ghost of Christmas Present is a spirit that reveals to Scrooge the joys and struggles of the present Christmas season, emphasizing generosity and compassion."', 'source_id': 'chunk-843b5b2f944c7413d9ca876e2e2f151fchunk-9e3921da66da5d761ab73cd849af6c43'}> +2024-10-29 15:29:25,493 - lightrag - INFO - get_node:query:MATCH (n:`MR. MARLEY`) RETURN n:result: +2024-10-29 15:29:25,584 - lightrag - INFO - get_node:query:MATCH (n:`CITY`) RETURN n:result:"The City represents the urban setting where Scrooge witnesses the indifference of its inhabitants regarding his death.""The City represents the urban setting where Scrooge\'s transformation takes place, symbolizing the broader society impacted by his changes."', 'source_id': 'chunk-843b5b2f944c7413d9ca876e2e2f151fchunk-94bea83e7153fc2064aa382b494936a1chunk-02baee20cc9463dbe08170a8e1043e32'}> +2024-10-29 15:29:25,671 - lightrag - INFO - get_node:query:MATCH (n:`THE GHOST OF CHRISTMAS PAST`) RETURN n:result: +2024-10-29 15:29:25,762 - lightrag - INFO - get_node:query:MATCH (n:`MISERY'S REFUGE`) RETURN n:result: +2024-10-29 15:29:25,848 - lightrag - INFO - get_node:query:MATCH (n:`CRATCHIT FAMILY`) RETURN n:result:"The Cratchit Family is portrayed as a close-knit group who, despite their hardships, find joy and gratitude during the Christmas gathering.""The Cratchit Family is portrayed as a loving unit celebrating Christmas together, with various members actively participating in the festivities.""The Cratchit family represents a unit bound by love and resilience in the face of adversity, dealing with emotional and financial struggles."', 'source_id': 'chunk-83ac129dc9b56f84c46760d153d68e93chunk-503f0bfa5453467c7c61d160a3540ecachunk-7e2e7ebcc19a53b399dc03aded4743e7chunk-19d72c57ae3408758b18d2568e86dc6b'}> +2024-10-29 15:29:25,933 - lightrag - INFO - get_node:query:MATCH (n:`THE VISITOR`) RETURN n:result: +2024-10-29 15:29:26,021 - lightrag - INFO - get_node:query:MATCH (n:`THE SITTING ROOM`) RETURN n:result: +2024-10-29 15:29:26,111 - lightrag - INFO - get_node:query:MATCH (n:`STREET`) RETURN n:result: +2024-10-29 15:29:26,201 - lightrag - INFO - get_node:query:MATCH (n:`THE CITY`) RETURN n:result:"The City represents the bustling urban environment where Scrooge reflects on his past, filled with activity and shadowy figures.""The City, from which Scrooge is transported, represents his past life and is contrasted with the open country road that signifies his memories."', 'source_id': 'chunk-bb21d58d36c6306fd8810ddd51c4a971chunk-c6c248858d1b13ab7ee9ca13c1aeed6bchunk-74e2466de2f67fd710ef2f20c0a8d9e0'}> +2024-10-29 15:29:26,292 - lightrag - INFO - get_node:query:MATCH (n:`CHRISTMAS`) RETURN n:result:"Christmas is a festive occasion that has led to a joyful transformation in Scrooge\'s character and actions.""Christmas is a festive time celebrated by the Cratchit family, symbolizing joy, family togetherness, and generosity.""Christmas is a significant holiday that serves as the backdrop for Scrooge\'s transformation and the events that unfold during the narrative.""Christmas is a significant holiday that triggers Scrooge\'s memories and reflections on joy, loneliness, and his past.""Christmas is central to the text, symbolizing generosity, charity, and warmth that Scrooge rejects.""Christmas is depicted as a festive season when charity and social duty are emphasized, contrasting with Scrooge\'s values.""Christmas is depicted as a time associated with joy and abundance, contrasting with Scrooge\'s initial views.""Christmas is depicted as a time of joy and communal spirit, marked by people\'s activities and interactions in the streets.""Christmas is depicted as a time of joy and generosity, contrasting sharply with Scrooge\'s past behavior and current solitude.""Christmas is portrayed as a festive time that Scrooge dismisses, emphasizing the contrast between joy and his miserable attitude.""Christmas is portrayed as a time of joy, reflection, and connection, emphasizing the positive impact of the holiday spirit on individuals and communities.""Christmas is presented as a time for merriment and social gatherings, which Scrooge\'s nephew advocates for despite his uncle\'s opposition.""Christmas is the central holiday during which the events unfold, leading to significant character transformations and themes of generosity.""Christmas is the season during which festive activities and celebrations are occurring, including dances and gatherings.""Christmas represents a time of reflection and change for Scrooge, emphasizing themes of redemption.""Christmas serves as a thematic backdrop for the story, symbolizing redemption, generosity, and the spirit of giving."', 'source_id': 'chunk-91614df5cb74cbe5e109a338a82041e9chunk-503f0bfa5453467c7c61d160a3540ecachunk-773d0df1dd25c356f7b771d780583e09chunk-8f738cb25d60a7dab782162d9d0a25edchunk-e7637ff18c5ded77a68cce0a87883fadchunk-8590d9263cd2cd4fa583c432fc54e6c3chunk-54bdd22db1f84a965b5f4c06c9216d8dchunk-02baee20cc9463dbe08170a8e1043e32chunk-90d5764e301321c087f5a8f78b73a145chunk-91572b3cd42786ba4cb2f180ca25cbf4chunk-1d4b58de5429cd1261370c231c8673e8chunk-da2472b4ef2a535b62908f14d0fb0ca9chunk-94bea83e7153fc2064aa382b494936a1chunk-89777b838d5447c7bd1ec11282c4ee89chunk-99b0ec7f7e006561352b5d65e849611dchunk-74e2466de2f67fd710ef2f20c0a8d9e0chunk-5dac41b3f9eeaf794f0147400b1718cd'}> +2024-10-29 15:29:36,901 - lightrag - INFO - get_edge:query: + MATCH (source:`SCROOGE`)-[r]-(target:`THE BUSINESSMEN`) + RETURN r + :result:, ) type='DIRECTED' properties={'keywords': '"societal apathy, lack of empathy"', 'description': '"Scrooge’s death is discussed among the Businessmen, who show a lack of concern, exemplifying the indifference of society."', 'weight': 8.0, 'source_id': 'chunk-02baee20cc9463dbe08170a8e1043e32'}> +2024-10-29 15:29:36,995 - lightrag - INFO - get_edge:query: + MATCH (source:`ROBIN CRUSOE`)-[r]-(target:`SCROOGE`) + RETURN r + :result:, ) type='DIRECTED' properties={'keywords': '"literary influence, nostalgia"', 'description': '"Scrooge\'s reference to Robin Crusoe during his reflections shows how literary characters shaped his childhood thoughts and feelings."', 'weight': 7.0, 'source_id': 'chunk-8590d9263cd2cd4fa583c432fc54e6c3'}> +2024-10-29 15:29:37,092 - lightrag - INFO - get_edge:query: + MATCH (source:`THE FROZEN MOOR`)-[r]-(target:`THE SETTING SUN`) + RETURN r + :result:, ) type='DIRECTED' properties={'keywords': '"nature, contrast"', 'description': '"The Setting Sun casts a dramatic light on the Frozen Moor, highlighting the stark beauty and desolation of the landscape."', 'weight': 6.0, 'source_id': 'chunk-91614df5cb74cbe5e109a338a82041e9'}> +2024-10-29 15:29:37,185 - lightrag - INFO - get_edge:query: + MATCH (source:`SCROOGE`)-[r]-(target:`THE BOY`) + RETURN r + :result:, ) type='DIRECTED' properties={'keywords': '"generosity, kindness"', 'description': '"Scrooge interacts with The Boy to deliver the turkey, showing a newfound generosity and connection to others."', 'weight': 8.0, 'source_id': 'chunk-8f738cb25d60a7dab782162d9d0a25ed'}> +2024-10-29 15:29:37,279 - lightrag - INFO - get_edge:query: + MATCH (source:`SCROOGE`)-[r]-(target:`THE GHOST OF CHRISTMAS FUTURE`) + RETURN r + :result:, ) type='DIRECTED' properties={'keywords': '"consequences, transformation"', 'description': '"The Ghost of Christmas Future reveals the dire consequences of Scrooge\'s current behavior, prompting a desire for change."', 'weight': 8.0, 'source_id': 'chunk-90b95db5c53e4364a6bee36b7aa4d70f'}> +2024-10-29 15:29:37,371 - lightrag - INFO - get_edge:query: + MATCH (source:`SCROOGE`)-[r]-(target:`THE SCHOOLMASTER`) + RETURN r + :result:, ) type='DIRECTED' properties={'keywords': '"authority, discipline"', 'description': '"The Schoolmaster represents authority and discipline in Scrooge\'s early life, influencing his development."', 'weight': 6.0, 'source_id': 'chunk-c6c248858d1b13ab7ee9ca13c1aeed6b'}> +2024-10-29 15:29:37,467 - lightrag - INFO - get_edge:query: + MATCH (source:`CHILDREN`)-[r]-(target:`SPIRIT`) + RETURN r + :result:, ) type='DIRECTED' properties={'keywords': '"social issues, innocence"', 'description': '"The Spirit introduces Scrooge to the Children as representations of societal neglect, urging recognition and action."', 'weight': 9.0, 'source_id': 'chunk-e7637ff18c5ded77a68cce0a87883fad'}> +2024-10-29 15:29:37,562 - lightrag - INFO - get_edge:query: + MATCH (source:`SCROOGE`)-[r]-(target:`THE BED`) + RETURN r + :result:, ) type='DIRECTED' properties={'keywords': '"contemplation, mortality"', 'description': '"Scrooge observes The Bed where The Deceased lies, prompting profound thoughts on mortality and regret."', 'weight': 9.0, 'source_id': 'chunk-e1f29eeadc1d8ab46dc8a0bbd3c56b64'}> +2024-10-29 15:29:37,660 - lightrag - INFO - get_edge:query: + MATCH (source:`CHRISTMAS`)-[r]-(target:`GEESE`) + RETURN r + :result:, ) type='DIRECTED' properties={'keywords': '"culinary tradition, celebration"', 'description': '"Geese are commonly served at Christmas dinners, forming part of the holiday feast."', 'weight': 9.0, 'source_id': 'chunk-99b0ec7f7e006561352b5d65e849611d'}> +2024-10-29 15:29:37,756 - lightrag - INFO - get_edge:query: + MATCH (source:`BAD REPUTE`)-[r]-(target:`SCROOGE`) + RETURN r + :result:, ) type='DIRECTED' properties={'keywords': '"self-reflection, moral awakening"', 'description': '"Scrooge\'s experience in areas of Bad Repute forces him to confront the realities of society and his own role within it."', 'weight': 9.0, 'source_id': 'chunk-f1a4fbcf1ed86864b9bfd5e8dba4c683'}> +2024-10-29 15:29:37,853 - lightrag - INFO - get_edge:query: + MATCH (source:`CRATCHIT FAMILY`)-[r]-(target:`DEATH`) + RETURN r + :result:, ) type='DIRECTED' properties={'keywords': '"grief, family dynamics"', 'description': '"The death event impacts the Cratchit family deeply, influencing their emotional state and perceptions of hope and kindness."', 'weight': 8.0, 'source_id': 'chunk-83ac129dc9b56f84c46760d153d68e93'}> +2024-10-29 15:29:37,947 - lightrag - INFO - get_edge:query: + MATCH (source:`SCROOGE`)-[r]-(target:`THE GENTLEMAN`) + RETURN r + :result:, ) type='DIRECTED' properties={'keywords': '"charity, conflict of values"', 'description': '"Scrooge and The Gentleman have opposing views on charity and helping the poor during Christmas, showing a stark contrast in values."', 'weight': 8.0, 'source_id': 'chunk-90d5764e301321c087f5a8f78b73a145'}> +2024-10-29 15:29:38,049 - lightrag - INFO - get_edge:query: + MATCH (source:`SCROOGE`)-[r]-(target:`THE GHOST`) + RETURN r + :result:, ) type='DIRECTED' properties={'keywords': '"guidance, transformation""memory, influence""reflection, guidance""self-reflection, transformation"', 'description': '"Scrooge\'s engagement with The Ghost prompts a significant emotional and psychological transformation as he confronts his past.""The Ghost guides Scrooge through visions of his past, forcing him to confront his choices and their consequences.""The Ghost influences Scrooge\'s reflections on his past and his current emotions regarding Christmas festivities.""The Ghost serves as a catalyst for Scrooge\'s reflections, guiding him to confront his past and feelings about Christmas."', 'weight': 35.0, 'source_id': 'chunk-da2472b4ef2a535b62908f14d0fb0ca9chunk-43c9bee23adfa77aa9dedd22401bba7dchunk-54bdd22db1f84a965b5f4c06c9216d8dchunk-8590d9263cd2cd4fa583c432fc54e6c3'}> +2024-10-29 15:29:38,140 - lightrag - INFO - get_edge:query: + MATCH (source:`SCROOGE`)-[r]-(target:`THE DRESSING-GOWN`) + RETURN r + :result:, ) type='DIRECTED' properties={'keywords': '"characterization, solitude"', 'description': '"The Dressing-Gown emphasizes Scrooge\'s character as a solitary, reclusive man, reinforcing his isolation during the haunting."', 'weight': 7.0, 'source_id': 'chunk-9c43dac2fcd5b578242d907ea6f8fc7b'}> +2024-10-29 15:29:38,232 - lightrag - INFO - get_edge:query: + MATCH (source:`CHRISTMAS`)-[r]-(target:`SPANISH ONIONS`) + RETURN r + :result:, ) type='DIRECTED' properties={'keywords': '"culinary tradition, seasonal offerings"', 'description': '"Spanish Onions are part of the seasonal offerings that contribute to the culinary landscape of Christmas."', 'weight': 7.0, 'source_id': 'chunk-99b0ec7f7e006561352b5d65e849611d'}> +2024-10-29 15:29:38,325 - lightrag - INFO - get_edge:query: + MATCH (source:`SCROOGE`)-[r]-(target:`THE BELL`) + RETURN r + :result:, ) type='DIRECTED' properties={'keywords': '"foreboding, supernatural"', 'description': '"The Bell\'s movement and sound foreshadow Marley\'s Ghost\'s appearance, enhancing the sense of impending supernatural activity in Scrooge\'s environment."', 'weight': 8.0, 'source_id': 'chunk-9c43dac2fcd5b578242d907ea6f8fc7b'}> +2024-10-29 15:29:38,423 - lightrag - INFO - get_edge:query: + MATCH (source:`CHRISTMAS`)-[r]-(target:`CHRISTMAS EVE`) + RETURN r + :result:, ) type='DIRECTED' properties={'keywords': '"holiday significance, festive anticipation"', 'description': '"Christmas Eve sets the stage for the events leading to Christmas, amplifying the significance of the holiday in Scrooge\'s transformation."', 'weight': 8.0, 'source_id': 'chunk-74e2466de2f67fd710ef2f20c0a8d9e0'}> +2024-10-29 15:29:38,519 - lightrag - INFO - get_edge:query: + MATCH (source:`SCROOGE`)-[r]-(target:`THE GIRL`) + RETURN r + :result:, ) type='DIRECTED' properties={'keywords': '"family ties, kindness"', 'description': '"Scrooge\'s pleasant interaction with The Girl at Fred\'s house shows his desire for family connection and warmth."', 'weight': 8.0, 'source_id': 'chunk-8f738cb25d60a7dab782162d9d0a25ed'}> +2024-10-29 15:29:38,616 - lightrag - INFO - get_edge:query: + MATCH (source:`A CHRISTMAS CAROL`)-[r]-(target:`PROJECT GUTENBERG`) + RETURN r + :result:, ) type='DIRECTED' properties={'keywords': '"publication, accessibility"', 'description': '"A Christmas Carol is published and distributed freely through Project Gutenberg, making it accessible to a global audience."', 'weight': 9.0, 'source_id': 'chunk-9e3921da66da5d761ab73cd849af6c43'}> +2024-10-29 15:29:38,718 - lightrag - INFO - get_edge:query: + MATCH (source:`POVERTY`)-[r]-(target:`WEALTH`) + RETURN r + :result:, ) type='DIRECTED' properties={'keywords': '"contrast, societal norms"', 'description': '"Wealth is juxtaposed against poverty, emphasizing the harsh realities faced by those consumed by the pursuit of money."', 'weight': 7.0, 'source_id': 'chunk-b2f98bc7abb0c67d4c86055c7fd72218'}> +2024-10-29 15:29:38,812 - lightrag - INFO - get_edge:query: + MATCH (source:`MULTITUDES`)-[r]-(target:`SCROOGE`) + RETURN r + :result:, ) type='DIRECTED' properties={'keywords': '"alienation, introspection"', 'description': '"Scrooge\'s feelings of alienation are heightened as he witnesses the Multitudes, illustrating his inner turmoil and societal disconnect."', 'weight': 8.0, 'source_id': 'chunk-f1a4fbcf1ed86864b9bfd5e8dba4c683'}> +2024-10-29 15:29:38,908 - lightrag - INFO - get_edge:query: + MATCH (source:`SCROOGE`)-[r]-(target:`WEALTH`) + RETURN r + :result:, ) type='DIRECTED' properties={'keywords': '"materialism, character development"', 'description': '"Scrooge confronts the obsession with wealth which has led him away from meaningful connections and happiness."', 'weight': 8.0, 'source_id': 'chunk-b2f98bc7abb0c67d4c86055c7fd72218'}> +2024-10-29 15:29:39,003 - lightrag - INFO - get_edge:query: + MATCH (source:`GHOST OF CHRISTMAS PAST`)-[r]-(target:`THE CITY`) + RETURN r + :result:, ) type='DIRECTED' properties={'keywords': '"transportation, memory"', 'description': '"The Ghost of Christmas Past helps transport Scrooge from The City to a memory of his past, highlighting the contrast between present and memory."', 'weight': 6.0, 'source_id': 'chunk-bb21d58d36c6306fd8810ddd51c4a971'}> +2024-10-29 15:29:39,099 - lightrag - INFO - get_edge:query: + MATCH (source:`SCROOGE`)-[r]-(target:`THE POULTERER'S`) + RETURN r + :result:, ) type='DIRECTED' properties={'keywords': '"generosity, commerce"', 'description': '"Scrooge interacts with The Poulterer\'s to purchase a turkey as an act of generosity toward Bob Cratchit\'s family."', 'weight': 8.0, 'source_id': 'chunk-90b95db5c53e4364a6bee36b7aa4d70f'}> +2024-10-29 15:29:39,190 - lightrag - INFO - get_edge:query: + MATCH (source:`CLERK`)-[r]-(target:`SCROOGE`) + RETURN r + :result:, ) type='DIRECTED' properties={'keywords': '"employment relationship, respect"', 'description': '"The Clerk communicates with Scrooge about his work, highlighting the lack of mutual respect in their employer-employee relationship."', 'weight': 5.0, 'source_id': 'chunk-d9aac3484185ac66045df92214d245d5'}> +2024-10-29 15:29:39,285 - lightrag - INFO - get_edge:query: + MATCH (source:`THE FATHER`)-[r]-(target:`THE MOTHER`) + RETURN r + :result:, ) type='DIRECTED' properties={'keywords': '"family dynamics, togetherness"', 'description': '"The Mother and Father are depicted together, emphasizing family dynamics during the festive occasion."', 'weight': 6.0, 'source_id': 'chunk-da2472b4ef2a535b62908f14d0fb0ca9'}> +2024-10-29 15:29:39,381 - lightrag - INFO - get_edge:query: + MATCH (source:`THE DAUGHTER`)-[r]-(target:`THE MOTHER`) + RETURN r + :result:, ) type='DIRECTED' properties={'keywords': '"familial love, joy"', 'description': '"The Mother and Daughter share a loving and playful relationship, showcasing familial bonds and joy during the Christmas season."', 'weight': 7.0, 'source_id': 'chunk-54bdd22db1f84a965b5f4c06c9216d8d'}> +2024-10-29 15:29:39,479 - lightrag - INFO - get_edge:query: + MATCH (source:`GHOST OF CHRISTMAS PRESENT`)-[r]-(target:`SCROOGE`) + RETURN r + :result:, ) type='DIRECTED' properties={'keywords': '"transformation, mentoring"', 'description': '"Scrooge is led by the Ghost of Christmas Present, who teaches him valuable lessons about generosity and compassion."', 'weight': 10.0, 'source_id': 'chunk-843b5b2f944c7413d9ca876e2e2f151f'}> +2024-10-29 15:29:39,577 - lightrag - INFO - get_edge:query: + MATCH (source:`SCROOGE`)-[r]-(target:`THE PAST`) + RETURN r + :result:, ) type='DIRECTED' properties={'keywords': '"self-reflection, choices"', 'description': '"Scrooge must acknowledge The Past to understand his current situation and guide his choices for the future."', 'weight': 9.0, 'source_id': 'chunk-91572b3cd42786ba4cb2f180ca25cbf4'}> +2024-10-29 15:29:39,671 - lightrag - INFO - get_edge:query: + MATCH (source:`SCROOGE`)-[r]-(target:`THE GRATE`) + RETURN r + :result:, ) type='DIRECTED' properties={'keywords': '"isolation, setting mood"', 'description': '"The Grate\'s cold fire adds to the bleak setting of Scrooge\'s home, illustrating his disconnection from warmth and comfort before the supernatural events unfold."', 'weight': 6.0, 'source_id': 'chunk-9c43dac2fcd5b578242d907ea6f8fc7b'}> +2024-10-29 15:29:39,769 - lightrag - INFO - get_edge:query: + MATCH (source:`MASTER SCROOGE`)-[r]-(target:`SCROOGE`) + RETURN r + :result:, ) type='DIRECTED' properties={'keywords': '"nostalgia, identity"', 'description': '"The young Master Scrooge represents Scrooge\'s earlier aspirations and innocence, contrasting with his current self."', 'weight': 9.0, 'source_id': 'chunk-c6c248858d1b13ab7ee9ca13c1aeed6b'}> +2024-10-29 15:29:39,865 - lightrag - INFO - get_edge:query: + MATCH (source:`BUSINESSMEN`)-[r]-(target:`SCROOGE`) + RETURN r + :result:, ) type='DIRECTED' properties={'keywords': '"social interactions, superficiality"', 'description': '"Scrooge\'s past interactions with the businessmen are superficial, reflecting his focus on wealth and status rather than meaningful connections."', 'weight': 7.0, 'source_id': 'chunk-f1a4fbcf1ed86864b9bfd5e8dba4c683'}> +2024-10-29 15:29:39,962 - lightrag - INFO - get_edge:query: + MATCH (source:`GHOST`)-[r]-(target:`HUMANITY`) + RETURN r + :result:, ) type='DIRECTED' properties={'keywords': '"social consciousness, humanitarian appeal"', 'description': '"The Ghost symbolizes humanity\'s need for introspection and change, urging Scrooge to recognize and act upon social issues."', 'weight': 9.0, 'source_id': 'chunk-e7637ff18c5ded77a68cce0a87883fad'}> +2024-10-29 15:29:40,060 - lightrag - INFO - get_edge:query: + MATCH (source:`CHRISTMAS`)-[r]-(target:`MISTLETOE`) + RETURN r + :result:, ) type='DIRECTED' properties={'keywords': '"festive symbols, joy"', 'description': '"Mistletoe is a traditional decoration that enhances the joy and atmosphere of Christmas."', 'weight': 7.0, 'source_id': 'chunk-99b0ec7f7e006561352b5d65e849611d'}> +2024-10-29 15:29:40,151 - lightrag - INFO - get_edge:query: + MATCH (source:`GAOL`)-[r]-(target:`SPIRIT`) + RETURN r + :result:, ) type='DIRECTED' properties={'keywords': '"empowerment, societal change"', 'description': '"The Gaol represents the consequences of societal indifference, highlighted by the Spirit to show the need for empathy and reform."', 'weight': 8.0, 'source_id': 'chunk-e7637ff18c5ded77a68cce0a87883fad'}> +2024-10-29 15:29:40,246 - lightrag - INFO - get_edge:query: + MATCH (source:`LIGHT`)-[r]-(target:`THE VISITOR`) + RETURN r + :result:, ) type='DIRECTED' properties={'keywords': '"enlightenment, revelation"', 'description': '"The Visitor is associated with Light, which represents enlightenment and understanding for Scrooge during his existential crisis."', 'weight': 9.0, 'source_id': 'chunk-c7b10789a9cb0af6c553730b29bd9034'}> +2024-10-29 15:29:40,342 - lightrag - INFO - get_edge:query: + MATCH (source:`GHOST OF CHRISTMAS YET TO COME`)-[r]-(target:`SPIRIT`) + RETURN r + :result:, ) type='DIRECTED' properties={'keywords': '"foreshadowing, guidance"', 'description': '"The Spirit is connected to the Ghost of Christmas Yet to Come as both serve to illustrate potential future outcomes for Scrooge."', 'weight': 7.0, 'source_id': 'chunk-02baee20cc9463dbe08170a8e1043e32'}> +2024-10-29 15:29:40,443 - lightrag - INFO - get_edge:query: + MATCH (source:`SCROOGE`)-[r]-(target:`THE HOUSE`) + RETURN r + :result:, ) type='DIRECTED' properties={'keywords': '"haunting, setting influence"', 'description': '"Scrooge\'s experiences with Marley\'s Ghost occur within The House, which plays a crucial role in the haunting atmosphere."', 'weight': 8.0, 'source_id': 'chunk-9c43dac2fcd5b578242d907ea6f8fc7b'}> +2024-10-29 15:29:40,539 - lightrag - INFO - get_edge:query: + MATCH (source:`GHOST OF CHRISTMAS PAST`)-[r]-(target:`SCROOGE`) + RETURN r + :result:, ) type='DIRECTED' properties={'keywords': '"reflection, past influence"', 'description': '"Scrooge engages with the Ghost of Christmas Past to explore his earlier life, seeking insight into his current state."', 'weight': 8.0, 'source_id': 'chunk-bb21d58d36c6306fd8810ddd51c4a971'}> +2024-10-29 15:29:40,636 - lightrag - INFO - get_edge:query: + MATCH (source:`CITY`)-[r]-(target:`SCROOGE`) + RETURN r + :result:, ) type='DIRECTED' properties={'keywords': '"indifference, societal critique""societal impact, personal change"', 'description': '"Scrooge experiences the indifference of the City towards his death, illustrating societal apathy.""Scrooge\'s transformation is set against the backdrop of the City, reflecting the societal implications of his personal changes."', 'weight': 15.0, 'source_id': 'chunk-843b5b2f944c7413d9ca876e2e2f151fchunk-02baee20cc9463dbe08170a8e1043e32'}> +2024-10-29 15:29:40,732 - lightrag - INFO - get_edge:query: + MATCH (source:`SCROOGE`)-[r]-(target:`THE GRAVE`) + RETURN r + :result:, ) type='DIRECTED' properties={'keywords': '"mortality, urgency"', 'description': '"Scrooge’s need to confront his own grave signifies the urgency to change his life before it is too late."', 'weight': 8.0, 'source_id': 'chunk-91572b3cd42786ba4cb2f180ca25cbf4'}> +2024-10-29 15:29:40,828 - lightrag - INFO - get_edge:query: + MATCH (source:`SCROOGE`)-[r]-(target:`THE PEOPLE`) + RETURN r + :result:, ) type='DIRECTED' properties={'keywords': '"community, joy"', 'description': '"Scrooge greets The People he encounters with joy and a newfound delight, signaling his welcome transformation."', 'weight': 8.0, 'source_id': 'chunk-8f738cb25d60a7dab782162d9d0a25ed'}> +2024-10-29 15:29:40,922 - lightrag - INFO - get_edge:query: + MATCH (source:`SCROOGE`)-[r]-(target:`THE GHOST OF MARLEY`) + RETURN r + :result:, ) type='DIRECTED' properties={'keywords': '"supernatural, moral reckoning"', 'description': '"The Ghost of Marley symbolizes Scrooge\'s past mistakes and serves as a catalyst for his transformation."', 'weight': 9.0, 'source_id': 'chunk-d9aac3484185ac66045df92214d245d5'}> +2024-10-29 15:29:41,014 - lightrag - INFO - get_edge:query: + MATCH (source:`CHRISTMAS`)-[r]-(target:`HOLLY`) + RETURN r + :result:, ) type='DIRECTED' properties={'keywords': '"festive decorations, holiday spirit"', 'description': '"Holly contributes to the festive decorations associated with the Christmas celebration."', 'weight': 8.0, 'source_id': 'chunk-99b0ec7f7e006561352b5d65e849611d'}> +2024-10-29 15:29:41,109 - lightrag - INFO - get_edge:query: + MATCH (source:`SCHOOL`)-[r]-(target:`SPIRIT`) + RETURN r + :result:, ) type='DIRECTED' properties={'keywords': '"reflection, nostalgia"', 'description': '"The Spirit leads Scrooge to the School, invoking memories of solitary times that deeply impact his emotional state."', 'weight': 6.0, 'source_id': 'chunk-bb21d58d36c6306fd8810ddd51c4a971'}> +2024-10-29 15:29:41,203 - lightrag - INFO - get_edge:query: + MATCH (source:`MANKIND`)-[r]-(target:`SCROOGE`) + RETURN r + :result:, ) type='DIRECTED' properties={'keywords': '"moral responsibility, social awareness"', 'description': '"Scrooge\'s actions and neglect of mankind are highlighted in Marley\'s admonitions, emphasizing the need for connection and care for others."', 'weight': 7.0, 'source_id': 'chunk-359187e7571bda4b0b08b2e0b6581e52'}> +2024-10-29 15:29:41,305 - lightrag - INFO - get_edge:query: + MATCH (source:`SCROOGE`)-[r]-(target:`THE CLERK`) + RETURN r + :result:, ) type='DIRECTED' properties={'keywords': '"contrast in attitudes, workplace dynamics""unfair treatment, workplace dynamics"', 'description': '"Scrooge\'s treatment of the Clerk highlights his miserly and cruel nature, contributing to an oppressive work environment.""The Clerk represents the festive spirit of Christmas that Scrooge dismisses, showcasing Scrooge\'s coldness."', 'weight': 13.0, 'source_id': 'chunk-74e2466de2f67fd710ef2f20c0a8d9e0chunk-5dac41b3f9eeaf794f0147400b1718cd'}> +2024-10-29 15:29:41,410 - lightrag - INFO - get_edge:query: + MATCH (source:`CHRISTMAS CAROL`)-[r]-(target:`SCROOGE`) + RETURN r + :result:, ) type='DIRECTED' properties={'keywords': '"generosity, connection"', 'description': '"Scrooge recalls a Christmas carol, wishing to give to a boy, which signifies his longing for connection and generosity."', 'weight': 8.0, 'source_id': 'chunk-8590d9263cd2cd4fa583c432fc54e6c3'}> +2024-10-29 15:29:41,527 - lightrag - INFO - get_edge:query: + MATCH (source:`CHILDREN`)-[r]-(target:`SCROOGE`) + RETURN r + :result:, ) type='DIRECTED' properties={'keywords': '"longing, innocence"', 'description': '"Scrooge\'s reaction to the Children he observes in his memories reveals his longing for the happiness he once knew but has since lost."', 'weight': 7.0, 'source_id': 'chunk-bb21d58d36c6306fd8810ddd51c4a971'}> +2024-10-29 15:29:41,623 - lightrag - INFO - get_edge:query: + MATCH (source:`DARKNESS`)-[r]-(target:`SCROOGE`) + RETURN r + :result:, ) type='DIRECTED' properties={'keywords': '"themes, isolation"', 'description': '"Darkness symbolizes Scrooge\'s internal feelings of isolation and regret, presenting the overall mood of his journey towards potential redemption."', 'weight': 9.0, 'source_id': 'chunk-9c43dac2fcd5b578242d907ea6f8fc7b'}> +2024-10-29 15:29:41,719 - lightrag - INFO - get_edge:query: + MATCH (source:`HOSPITAL`)-[r]-(target:`SPIRIT`) + RETURN r + :result:, ) type='DIRECTED' properties={'keywords': '"care, compassion"', 'description': '"The Spirit uses the Hospital to demonstrate humanity\'s capacity for care and its responsibility towards the sick and needy."', 'weight': 8.0, 'source_id': 'chunk-e7637ff18c5ded77a68cce0a87883fad'}> +2024-10-29 15:29:41,817 - lightrag - INFO - get_edge:query: + MATCH (source:`SCROOGE`)-[r]-(target:`STREET`) + RETURN r + :result:, ) type='DIRECTED' properties={'keywords': '"observation, societal critique"', 'description': '"Scrooge observes the Street\'s inhabitants and their interactions, reflecting on his own status and societal detachment."', 'weight': 7.0, 'source_id': 'chunk-f1a4fbcf1ed86864b9bfd5e8dba4c683'}> +2024-10-29 15:29:41,915 - lightrag - INFO - get_edge:query: + MATCH (source:`CHRISTMAS`)-[r]-(target:`SCROOGE'S NEPHEW`) + RETURN r + :result:, ) type='DIRECTED' properties={'keywords': '"advocacy for holiday spirit, family dynamics"', 'description': '"Scrooge\'s Nephew defends the positive aspects of Christmas, contrasting Scrooge\'s view that the holiday is pointless."', 'weight': 9.0, 'source_id': 'chunk-5dac41b3f9eeaf794f0147400b1718cd'}> +2024-10-29 15:29:42,010 - lightrag - INFO - get_edge:query: + MATCH (source:`A CHRISTMAS CAROL`)-[r]-(target:`CHARLES DICKENS`) + RETURN r + :result:, ) type='DIRECTED' properties={'keywords': '"author, literary impact"', 'description': '"Charles Dickens authored A Christmas Carol, which reflects his views on Victorian society and social issues."', 'weight': 10.0, 'source_id': 'chunk-9e3921da66da5d761ab73cd849af6c43'}> +2024-10-29 15:29:42,101 - lightrag - INFO - get_edge:query: + MATCH (source:`DEATH`)-[r]-(target:`SCROOGE`) + RETURN r + :result:, ) type='DIRECTED' properties={'keywords': '"existential crisis, contemplation"', 'description': '"Scrooge grapples with the idea of Death as he witnesses the aftermath of The Deceased\'s life, leading to an inner turmoil."', 'weight': 9.0, 'source_id': 'chunk-e1f29eeadc1d8ab46dc8a0bbd3c56b64'}> +2024-10-29 15:29:42,194 - lightrag - INFO - get_edge:query: + MATCH (source:`SCROOGE`)-[r]-(target:`THE GHOST OF CHRISTMAS YET TO COME`) + RETURN r + :result:, ) type='DIRECTED' properties={'keywords': '"consequences, change""guidance, self-confrontation"', 'description': '"The Ghost guides Scrooge to confront his potential future that threatens his existence.""The Ghost is critical in revealing the consequences of Scrooge\'s life choices, pushing for change."', 'weight': 19.0, 'source_id': 'chunk-91572b3cd42786ba4cb2f180ca25cbf4'}> +2024-10-29 15:29:42,295 - lightrag - INFO - get_edge:query: + MATCH (source:`SCROOGE`)-[r]-(target:`TWELFTH-NIGHT PARTY`) + RETURN r + :result:, ) type='DIRECTED' properties={'keywords': '"celebration, contrast"', 'description': '"The Twelfth-Night Party serves as a representation of festive joy that contrasts with Scrooge\'s initial isolation."', 'weight': 8.0, 'source_id': 'chunk-e7637ff18c5ded77a68cce0a87883fad'}> +2024-10-29 15:29:42,393 - lightrag - INFO - get_edge:query: + MATCH (source:`SCROOGE`)-[r]-(target:`THE OBSCURE PART OF TOWN`) + RETURN r + :result:, ) type='DIRECTED' properties={'keywords': '"confrontation, societal reflection"', 'description': '"Scrooge\'s journey leads him to the Obscure Part of Town, representing his confrontation with the darker aspects of life and society."', 'weight': 9.0, 'source_id': 'chunk-f1a4fbcf1ed86864b9bfd5e8dba4c683'}> +2024-10-29 15:29:42,492 - lightrag - INFO - get_edge:query: + MATCH (source:`CHRISTMAS`)-[r]-(target:`GREAT BRITAIN`) + RETURN r + :result:, ) type='DIRECTED' properties={'keywords': '"celebration, societal mood"', 'description': '"The celebration of Christmas brings a cheerful atmosphere to Great Britain despite the gloomy weather conditions."', 'weight': 7.0, 'source_id': 'chunk-99b0ec7f7e006561352b5d65e849611d'}> +2024-10-29 15:29:42,587 - lightrag - INFO - get_edge:query: + MATCH (source:`FROST`)-[r]-(target:`SCROOGE`) + RETURN r + :result:, ) type='DIRECTED' properties={'keywords': '"atmospheric condition, characterization"', 'description': '"Frost enhances the chilling atmosphere around Scrooge\'s life and mindset, reflecting his cold character."', 'weight': 8.0, 'source_id': 'chunk-d9aac3484185ac66045df92214d245d5'}> +2024-10-29 15:29:42,680 - lightrag - INFO - get_edge:query: + MATCH (source:`JACOB MARLEY`)-[r]-(target:`SCROOGE`) + RETURN r + :result:, ) type='DIRECTED' properties={'keywords': '"catalyst for change, supernatural guidance""past influence, warning""redemption, moral lesson""supernatural encounter, past ties""transformation, influence""warning, transformation"', 'description': '"Jacob Marley is the spirit who brings forth the need for Scrooge to change his ways, impacting his character development.""Scrooge confronts Jacob Marley, his former business partner, who returns as a ghost to influence Scrooge\'s perspective on life and his actions.""Scrooge converses with the ghost of Jacob Marley, who tries to guide him toward understanding the importance of compassion and the consequences of his actions.""Scrooge interacts with Jacob Marley, who serves as a critical warning for Scrooge to change his ways before it\'s too late.""Scrooge reflects on Jacob Marley’s past warnings, which serve as a catalyst for his transformation.""Scrooge\'s transformation is prompted by the appearance and message of Jacob Marley, his former business partner."', 'weight': 54.0, 'source_id': 'chunk-90b95db5c53e4364a6bee36b7aa4d70fchunk-1aa50206d02ed89418f65f97c6441d1cchunk-02baee20cc9463dbe08170a8e1043e32chunk-91572b3cd42786ba4cb2f180ca25cbf4chunk-da2472b4ef2a535b62908f14d0fb0ca9chunk-359187e7571bda4b0b08b2e0b6581e52'}> +2024-10-29 15:29:42,774 - lightrag - INFO - get_edge:query: + MATCH (source:`CHRISTMAS-TIME`)-[r]-(target:`THE PHANTOM`) + RETURN r + :result:, ) type='DIRECTED' properties={'keywords': '"supernatural influence, time of reflection"', 'description': '"The Phantom\'s visits coincide with Christmas time, a time symbolizing reflection, redemption, and moral awakening."', 'weight': 8.0, 'source_id': 'chunk-f1a4fbcf1ed86864b9bfd5e8dba4c683'}> +2024-10-29 15:29:42,870 - lightrag - INFO - get_edge:query: + MATCH (source:`SCROOGE`)-[r]-(target:`THE GHOST OF CHRISTMAS PAST`) + RETURN r + :result:, ) type='DIRECTED' properties={'keywords': '"introspection, memory"', 'description': '"The Ghost of Christmas Past guides Scrooge through recollections, prompting his introspection about his former self and choices."', 'weight': 10.0, 'source_id': 'chunk-b2f98bc7abb0c67d4c86055c7fd72218'}> +2024-10-29 15:29:42,965 - lightrag - INFO - get_edge:query: + MATCH (source:`DICK WILKINS`)-[r]-(target:`SCROOGE`) + RETURN r + :result:, ) type='DIRECTED' properties={'keywords': '"friendship, apprenticeship"', 'description': '"Scrooge recalls his friendship with Dick Wilkins, highlighting the connections of youth and support during their apprenticeship."', 'weight': 7.0, 'source_id': 'chunk-c6c248858d1b13ab7ee9ca13c1aeed6b'}> +2024-10-29 15:29:43,069 - lightrag - INFO - get_edge:query: + MATCH (source:`MISERY'S REFUGE`)-[r]-(target:`SPIRIT`) + RETURN r + :result:, ) type='DIRECTED' properties={'keywords': '"social awareness, empathy"', 'description': '"The Spirit\'s presence in Misery\'s Refuge underscores the necessity for societal compassion during difficult times."', 'weight': 10.0, 'source_id': 'chunk-e7637ff18c5ded77a68cce0a87883fad'}> +2024-10-29 15:29:43,163 - lightrag - INFO - get_edge:query: + MATCH (source:`CHRISTMAS`)-[r]-(target:`SCROOGE`) + RETURN r + :result:, ) type='DIRECTED' properties={'keywords': '"character development, festive spirit""conflict, holiday spirit""contrast, seasonal significance""disconnection, festive spirit""holiday significance, reflection""reflection, redemption""seasonal significance, emotional reflection""transformation, festive spirit""transformation, holiday significance""transformation, holiday spirit"', 'description': '"Christmas is a central theme that invokes Scrooge\'s memories of his past, his feelings of loneliness, and his desire to connect.""Christmas serves as a focal point for Scrooge\'s emotional reflections on joy and his disconnect from societal celebrations.""Christmas serves as the catalyst for Scrooge\'s transformation, highlighting themes of giving and compassion.""Scrooge expresses disdain for Christmas, viewing it as a burden rather than a celebration.""Scrooge\'s attitude towards Christmas highlights his disconnection from the festive spirit and charity associated with the holiday.""Scrooge\'s character contrasts sharply with the joy of Christmas, highlighting his disdain for the festive season.""Scrooge\'s experience during the Christmas event highlights the transformation of his character and the spirit of the holiday.""Scrooge\'s journey with the Spirit ultimately leads him to reflect on the meaning of Christmas and its impact on human connections.""Scrooge\'s transformation and newfound joy are directly linked to the spirit of Christmas.""Scrooge\'s transformation is centered around the spirit of Christmas, which he learns to embrace and celebrate.""Scrooge\'s views on Christmas evolve as he witnesses the joy and familial love associated with the holiday, marking a shift in his character."', 'weight': 95.0, 'source_id': 'chunk-91614df5cb74cbe5e109a338a82041e9chunk-8f738cb25d60a7dab782162d9d0a25edchunk-e7637ff18c5ded77a68cce0a87883fadchunk-8590d9263cd2cd4fa583c432fc54e6c3chunk-54bdd22db1f84a965b5f4c06c9216d8dchunk-90d5764e301321c087f5a8f78b73a145chunk-da2472b4ef2a535b62908f14d0fb0ca9chunk-94bea83e7153fc2064aa382b494936a1chunk-89777b838d5447c7bd1ec11282c4ee89chunk-99b0ec7f7e006561352b5d65e849611dchunk-74e2466de2f67fd710ef2f20c0a8d9e0'}> +2024-10-29 15:29:43,256 - lightrag - INFO - get_edge:query: + MATCH (source:`CRATCHIT FAMILY`)-[r]-(target:`SCROOGE`) + RETURN r + :result:, ) type='DIRECTED' properties={'keywords': '"compassion, social awareness"', 'description': '"Scrooge\'s reflections on the Cratchit family\'s situation symbolize his evolving understanding of compassion and social responsibility."', 'weight': 7.0, 'source_id': 'chunk-83ac129dc9b56f84c46760d153d68e93'}> +2024-10-29 15:29:43,348 - lightrag - INFO - get_edge:query: + MATCH (source:`ALMSHOUSE`)-[r]-(target:`SPIRIT`) + RETURN r + :result:, ) type='DIRECTED' properties={'keywords': '"social critique, awareness"', 'description': '"The Spirit shows Scrooge the Almshouse to illustrate the plight of the poor and the societal neglect present during the holiday season."', 'weight': 9.0, 'source_id': 'chunk-e7637ff18c5ded77a68cce0a87883fad'}> +2024-10-29 15:29:43,438 - lightrag - INFO - get_edge:query: + MATCH (source:`CHRISTMAS`)-[r]-(target:`PEARS`) + RETURN r + :result:, ) type='DIRECTED' properties={'keywords': '"seasonal offerings, tradition"', 'description': '"Pears are part of the fruits offered during the Christmas season, enhancing festive markets."', 'weight': 6.0, 'source_id': 'chunk-99b0ec7f7e006561352b5d65e849611d'}> +2024-10-29 15:29:43,533 - lightrag - INFO - get_edge:query: + MATCH (source:`SCROOGE`)-[r]-(target:`THE GHOST OF JACOB MARLEY`) + RETURN r + :result:, ) type='DIRECTED' properties={'keywords': '"transformation, warning"', 'description': '"Scrooge\'s encounter with the Ghost of Jacob Marley initiates his journey of self-reflection and realization."', 'weight': 10.0, 'source_id': 'chunk-90b95db5c53e4364a6bee36b7aa4d70f'}> +2024-10-29 15:29:43,630 - lightrag - INFO - get_edge:query: + MATCH (source:`CAMDEN TOWN`)-[r]-(target:`SCROOGE`) + RETURN r + :result:, ) type='DIRECTED' properties={'keywords': '"logistics, festive preparation"', 'description': '"Scrooge mentions Camden Town in relation to the impracticality of delivering a large turkey there."', 'weight': 5.0, 'source_id': 'chunk-8f738cb25d60a7dab782162d9d0a25ed'}> +2024-10-29 15:29:43,722 - lightrag - INFO - get_edge:query: + MATCH (source:`GHOST`)-[r]-(target:`SCROOGE`) + RETURN r + :result:, ) type='DIRECTED' properties={'keywords': '"reflection, self-discovery""spiritual guidance, transformation"', 'description': '"The Ghost guides Scrooge through reflections of his past, influencing his journey toward redemption.""The Ghost takes Scrooge on a journey to teach him lessons about generosity and compassion towards others."', 'weight': 17.0, 'source_id': 'chunk-c6c248858d1b13ab7ee9ca13c1aeed6bchunk-e7637ff18c5ded77a68cce0a87883fad'}> +2024-10-29 15:29:43,817 - lightrag - INFO - get_edge:query: + MATCH (source:`SCROOGE`)-[r]-(target:`THE GHOST OF CHRISTMAS PRESENT`) + RETURN r + :result:, ) type='DIRECTED' properties={'keywords': '"awareness, joy""supernatural guidance, social impact""transformation, guidance"', 'description': '"The Ghost of Christmas Present exposes Scrooge to the joy and generosity he has been missing.""The Ghost of Christmas Present observes Scrooge\'s transformation and emotional engagement with his memories of Christmas.""The Ghost of Christmas Present shows Scrooge the joy and importance of kindness during Christmas, impacting his perspective on social issues."', 'weight': 26.0, 'source_id': 'chunk-90b95db5c53e4364a6bee36b7aa4d70fchunk-43c9bee23adfa77aa9dedd22401bba7dchunk-b0f459f5af1c3a5e0b92cbe4ee48b77b'}> +2024-10-29 15:29:43,914 - lightrag - INFO - get_edge:query: + MATCH (source:`SCROOGE`)-[r]-(target:`SPIRIT`) + RETURN r + :result:, ) type='DIRECTED' properties={'keywords': '"guidance, emotional journey""guidance, transformation""personal growth, spiritual journey""reflection, guidance"', 'description': '"Scrooge engages with the Spirit, who guides him through reflections on his life and warns him of societal issues.""Scrooge learns from the Spirit about the consequences of his actions and the sentiments evoked by death, leading to personal growth.""Scrooge’s interaction with the Spirit emphasizes the emotional weight of his past decisions and feelings as they relate to his transformation.""The Spirit directly influences Scrooge’s transformation and highlights the importance of compassion in human life."', 'weight': 34.0, 'source_id': 'chunk-02baee20cc9463dbe08170a8e1043e32chunk-bb21d58d36c6306fd8810ddd51c4a971chunk-83ac129dc9b56f84c46760d153d68e93chunk-e7637ff18c5ded77a68cce0a87883fad'}> +2024-10-29 15:29:44,012 - lightrag - INFO - get_edge:query: + MATCH (source:`MRS. CRATCHIT`)-[r]-(target:`SCROOGE`) + RETURN r + :result:, ) type='DIRECTED' properties={'keywords': '"criticism, emotional conflict"', 'description': '"Mrs. Cratchit openly criticizes Scrooge during the Christmas dinner, expressing her feelings towards him and emphasizing the family\'s resentment."', 'weight': 8.0, 'source_id': 'chunk-19d72c57ae3408758b18d2568e86dc6b'}> +2024-10-29 15:29:44,105 - lightrag - INFO - get_edge:query: + MATCH (source:`SCROOGE`)-[r]-(target:`WANT`) + RETURN r + :result:, ) type='DIRECTED' properties={'keywords': '"social critique, consequences"', 'description': '"Scrooge is shown the consequences of Want, reflecting on the impacts of desire and neglect in society."', 'weight': 9.0, 'source_id': 'chunk-02baee20cc9463dbe08170a8e1043e32'}> +2024-10-29 15:29:44,200 - lightrag - INFO - get_edge:query: + MATCH (source:`MARKET-TOWN`)-[r]-(target:`SCROOGE`) + RETURN r + :result:, ) type='DIRECTED' properties={'keywords': '"nostalgia, memory"', 'description': '"Scrooge recognizes the Market-Town, eliciting fond memories from his childhood and emphasizing his emotional response to the past."', 'weight': 7.0, 'source_id': 'chunk-bb21d58d36c6306fd8810ddd51c4a971'}> +2024-10-29 15:29:44,293 - lightrag - INFO - get_edge:query: + MATCH (source:`SCROOGE`)-[r]-(target:`SCROOGE'S NIECE`) + RETURN r + :result:, ) type='DIRECTED' properties={'keywords': '"family bonds, celebration""ideological conflict, family dynamics"', 'description': '"Scrooge\'s Niece expresses indignation towards Scrooge\'s belief that Christmas is a humbug, demonstrating her strong opinions against his views.""Scrooge\'s niece embraces the joyful atmosphere of the celebration, engaging with family and inviting good-natured fun."', 'weight': 15.0, 'source_id': 'chunk-773d0df1dd25c356f7b771d780583e09chunk-43c9bee23adfa77aa9dedd22401bba7d'}> +2024-10-29 15:29:44,383 - lightrag - INFO - get_edge:query: + MATCH (source:`FEZZIWIG`)-[r]-(target:`SCROOGE`) + RETURN r + :result:, ) type='DIRECTED' properties={'keywords': '"kindness, mentorship""reflection, influence"', 'description': '"Scrooge reflects positively on Fezziwig\'s past actions, acknowledging the happiness and gratitude he inspired in people.""Scrooge reminisces about Fezziwig\'s kindness during his apprenticeship, comparing his past self to his current state."', 'weight': 16.0, 'source_id': 'chunk-b2f98bc7abb0c67d4c86055c7fd72218chunk-c6c248858d1b13ab7ee9ca13c1aeed6b'}> +2024-10-29 15:29:44,477 - lightrag - INFO - get_edge:query: + MATCH (source:`SCROOGE`)-[r]-(target:`VALENTINE`) + RETURN r + :result:, ) type='DIRECTED' properties={'keywords': '"family memories, nostalgia"', 'description': '"Scrooge\'s mention of Valentine signifies his memories of familial ties and childhood experiences during Christmas."', 'weight': 6.0, 'source_id': 'chunk-8590d9263cd2cd4fa583c432fc54e6c3'}> +2024-10-29 15:29:44,572 - lightrag - INFO - get_edge:query: + MATCH (source:`CHRISTMAS DAY`)-[r]-(target:`SCROOGE`) + RETURN r + :result:, ) type='DIRECTED' properties={'keywords': '"seasonal significance, renewal"', 'description': '"Scrooge\'s change in attitude and actions occur on Christmas Day, making it a pivotal event in his story."', 'weight': 9.0, 'source_id': 'chunk-90b95db5c53e4364a6bee36b7aa4d70f'}> +2024-10-29 15:29:44,667 - lightrag - INFO - get_edge:query: + MATCH (source:`MARLEY`)-[r]-(target:`SCROOGE`) + RETURN r + :result:, ) type='DIRECTED' properties={'keywords': '"mourning, partnership""past influence, personal history""redemption, confrontation""supernatural connection, past relationships"', 'description': '"Marley’s influence and past relationship with Scrooge is indicated, suggesting a connection that impacts Scrooge\'s character growth.""Scrooge is deeply affected by Marley\'s death, illustrated through his role as the sole executor and mourner of Marley.""Scrooge reflects on Marley, revealing his past connection and the haunting aspect of Marley\'s death, which influences Scrooge\'s character arc.""Scrooge\'s encounter with Marley’s Ghost serves as a confrontation with his past self and the life choices he regrets, depicting the theme of redemption."', 'weight': 32.0, 'source_id': 'chunk-d9aac3484185ac66045df92214d245d5chunk-843b5b2f944c7413d9ca876e2e2f151fchunk-89777b838d5447c7bd1ec11282c4ee89chunk-9c43dac2fcd5b578242d907ea6f8fc7b'}> +2024-10-29 15:29:44,762 - lightrag - INFO - get_edge:query: + MATCH (source:`SCHOOL`)-[r]-(target:`SCROOGE`) + RETURN r + :result:, ) type='DIRECTED' properties={'keywords': '"neglect, formative experiences"', 'description': '"The School serves as a poignant reminder of Scrooge\'s childhood neglect, influencing his character development and emotional barriers."', 'weight': 7.0, 'source_id': 'chunk-bb21d58d36c6306fd8810ddd51c4a971'}> +2024-10-29 15:29:44,858 - lightrag - INFO - get_edge:query: + MATCH (source:`BELLE`)-[r]-(target:`SCROOGE`) + RETURN r + :result:, ) type='DIRECTED' properties={'keywords': '"lost love, regret"', 'description': '"Scrooge reflects on his lost relationship with Belle, highlighting his feelings of regret and emotional pain."', 'weight': 8.0, 'source_id': 'chunk-da2472b4ef2a535b62908f14d0fb0ca9'}> +2024-10-29 15:29:44,950 - lightrag - INFO - get_edge:query: + MATCH (source:`SCROOGE`)-[r]-(target:`THE CLOCK`) + RETURN r + :result:, ) type='DIRECTED' properties={'keywords': '"time distortion, confusion"', 'description': '"Scrooge\'s interaction with the faulty clock symbolizes his disconnection from time and reality, as he struggles to comprehend his experiences."', 'weight': 6.0, 'source_id': 'chunk-cb661c37436355ccec2769b1d0350c5f'}> +2024-10-29 15:29:45,040 - lightrag - INFO - get_edge:query: + MATCH (source:`SCROOGE`)-[r]-(target:`SUNDAY CLOTHES BOY`) + RETURN r + :result:, ) type='DIRECTED' properties={'keywords': '"kindness, generosity"', 'description': '"Scrooge\'s interaction with the Sunday Clothes Boy highlights his evolving attitude towards generosity and kindness."', 'weight': 7.0, 'source_id': 'chunk-90b95db5c53e4364a6bee36b7aa4d70f'}> +2024-10-29 15:29:45,133 - lightrag - INFO - get_edge:query: + MATCH (source:`CHRISTMAS`)-[r]-(target:`FIGS`) + RETURN r + :result:, ) type='DIRECTED' properties={'keywords': '"seasonal offerings, festive foods"', 'description': '"Figs are highlighted among the festive foods offered during Christmas, enhancing markets."', 'weight': 6.0, 'source_id': 'chunk-99b0ec7f7e006561352b5d65e849611d'}> +2024-10-29 15:29:45,226 - lightrag - INFO - get_edge:query: + MATCH (source:`IGNORANCE`)-[r]-(target:`SCROOGE`) + RETURN r + :result:, ) type='DIRECTED' properties={'keywords': '"social awareness, warning"', 'description': '"Scrooge is warned about the dangers posed by Ignorance, which embodies significant societal issues he has ignored."', 'weight': 9.0, 'source_id': 'chunk-02baee20cc9463dbe08170a8e1043e32'}> +2024-10-29 15:29:45,318 - lightrag - INFO - get_edge:query: + MATCH (source:`A CHRISTMAS CAROL`)-[r]-(target:`ARTHUR RACKHAM`) + RETURN r + :result:, ) type='DIRECTED' properties={'keywords': '"illustration, artistic contribution"', 'description': '"Arthur Rackham illustrated A Christmas Carol, enhancing the visual experience of Dickens\' narrative."', 'weight': 8.0, 'source_id': 'chunk-9e3921da66da5d761ab73cd849af6c43'}> +2024-10-29 15:29:45,410 - lightrag - INFO - get_edge:query: + MATCH (source:`LONDON`)-[r]-(target:`SCROOGE`) + RETURN r + :result:, ) type='DIRECTED' properties={'keywords': '"setting, seasonal context""setting, transformation"', 'description': '"London as the setting contextualizes Scrooge\'s experiences and transformations regarding Christmas celebrations.""Scrooge\'s experiences reflect the larger context of life in London during the festive season, emphasizing the mood of the city at that time."', 'weight': 12.0, 'source_id': 'chunk-d9aac3484185ac66045df92214d245d5chunk-43c9bee23adfa77aa9dedd22401bba7d'}> +2024-10-29 15:29:45,505 - lightrag - INFO - get_edge:query: + MATCH (source:`JOE`)-[r]-(target:`THE DECEASED`) + RETURN r + :result:, ) type='DIRECTED' properties={'keywords': '"materialism, death"', 'description': '"Joe discusses the belongings and implications of The Deceased\'s life, indicating a financial and material relationship with the dead."', 'weight': 5.0, 'source_id': 'chunk-e1f29eeadc1d8ab46dc8a0bbd3c56b64'}> +2024-10-29 15:29:45,599 - lightrag - INFO - get_edge:query: + MATCH (source:`FRED`)-[r]-(target:`SCROOGE`) + RETURN r + :result:, ) type='DIRECTED' properties={'keywords': '"family connection, goodwill""family connection, reconciliation""family, transformation""rejection, familial dynamics"', 'description': '"Scrooge and Fred share a familial bond, with Fred expressing goodwill and celebrating Scrooge despite his uncle\'s previous behavior.""Scrooge expresses a desire to visit Fred, which signifies a reconciliatory gesture toward his family.""Scrooge surprises Fred with his unexpected visit, indicating a shift in their familial relationship and Scrooge\'s attitude toward family.""Scrooge\'s interaction with Fred emphasizes his rejection of familial warmth during the Christmas season."', 'weight': 30.0, 'source_id': 'chunk-8f738cb25d60a7dab782162d9d0a25edchunk-94bea83e7153fc2064aa382b494936a1chunk-89777b838d5447c7bd1ec11282c4ee89chunk-e7637ff18c5ded77a68cce0a87883fad'}> +2024-10-29 15:29:45,691 - lightrag - INFO - get_edge:query: + MATCH (source:`FOG`)-[r]-(target:`SCROOGE`) + RETURN r + :result:, ) type='DIRECTED' properties={'keywords': '"atmosphere, emotional reflection"', 'description': '"Fog represents the obscured vision of Scrooge\'s soul and emotions, aligning with his unknowable nature."', 'weight': 8.0, 'source_id': 'chunk-d9aac3484185ac66045df92214d245d5'}> +2024-10-29 15:29:45,787 - lightrag - INFO - get_edge:query: + MATCH (source:`CHRISTMAS`)-[r]-(target:`TURKEYS`) + RETURN r + :result:, ) type='DIRECTED' properties={'keywords': '"culinary tradition, celebration"', 'description': '"Turkeys are a traditional dish served during Christmas, contributing to the celebratory meal."', 'weight': 9.0, 'source_id': 'chunk-99b0ec7f7e006561352b5d65e849611d'}> +2024-10-29 15:29:45,884 - lightrag - INFO - get_edge:query: + MATCH (source:`SCROOGE`)-[r]-(target:`THE KNOCKER`) + RETURN r + :result:, ) type='DIRECTED' properties={'keywords': '"appreciation, transformation""symbolism, transformation"', 'description': '"Scrooge admires the knocker at his door, marking a positive change in his attitude towards life and surroundings.""The Knocker, transforming into Marley\'s face, symbolizes Scrooge\'s ghostly past and impending redemption challenges."', 'weight': 15.0, 'source_id': 'chunk-d9aac3484185ac66045df92214d245d5chunk-8f738cb25d60a7dab782162d9d0a25ed'}> +2024-10-29 15:29:45,979 - lightrag - INFO - get_edge:query: + MATCH (source:`CHRISTMAS`)-[r]-(target:`FRENCH PLUMS`) + RETURN r + :result:, ) type='DIRECTED' properties={'keywords': '"seasonal offerings, festive foods"', 'description': '"French Plums are included in the festive offerings, creating a rich holiday atmosphere."', 'weight': 6.0, 'source_id': 'chunk-99b0ec7f7e006561352b5d65e849611d'}> +2024-10-29 15:29:46,071 - lightrag - INFO - get_edge:query: + MATCH (source:`CHRISTMAS-TIME`)-[r]-(target:`SCROOGE`) + RETURN r + :result:, ) type='DIRECTED' properties={'keywords': '"cynicism, holiday spirit conflict"', 'description': '"Scrooge views Christmas-time as a burden rather than a celebration, contrasting with the feelings of others around him."', 'weight': 9.0, 'source_id': 'chunk-5dac41b3f9eeaf794f0147400b1718cd'}> +2024-10-29 15:29:46,163 - lightrag - INFO - get_edge:query: + MATCH (source:`SCROOGE`)-[r]-(target:`THE DECEASED`) + RETURN r + :result:, ) type='DIRECTED' properties={'keywords': '"reflection, mortality"', 'description': '"Scrooge reflects on the condition and life of The Deceased, equating his own life with the man\'s fate, indicating a profound contemplation of mortality."', 'weight': 8.0, 'source_id': 'chunk-e1f29eeadc1d8ab46dc8a0bbd3c56b64'}> +2024-10-29 15:29:46,257 - lightrag - INFO - get_edge:query: + MATCH (source:`SCROOGE`)-[r]-(target:`THE FUNERAL`) + RETURN r + :result:, ) type='DIRECTED' properties={'keywords': '"business, emotional detachment"', 'description': '"Scrooge treats The Funeral as a business transaction, showing his cold approach to personal loss and death."', 'weight': 7.0, 'source_id': 'chunk-89777b838d5447c7bd1ec11282c4ee89'}> +2024-10-29 15:29:46,358 - lightrag - INFO - get_edge:query: + MATCH (source:`SCROOGE`)-[r]-(target:`SCROOGE'S NEPHEW`) + RETURN r + :result:, ) type='DIRECTED' properties={'keywords': '"family conflict, differing perspectives""family dynamics, contrasting views""family dynamics, opposing views"', 'description': '"Scrooge\'s Nephew contrasts with Scrooge, advocating for merriment and showing pity for his uncle\'s ill tempers.""Scrooge\'s Nephew tries to cheer Scrooge up and promote the joy of Christmas, but is met with rejection and negativity.""Scrooge\'s Nephew tries to convince Scrooge of the joys of Christmas, illustrating the conflict between their differing views on the holiday."', 'weight': 24.0, 'source_id': 'chunk-773d0df1dd25c356f7b771d780583e09chunk-74e2466de2f67fd710ef2f20c0a8d9e0chunk-5dac41b3f9eeaf794f0147400b1718cd'}> +2024-10-29 15:29:46,449 - lightrag - INFO - get_edge:query: + MATCH (source:`SCROOGE`)-[r]-(target:`SHADOW OF HIMSELF`) + RETURN r + :result:, ) type='DIRECTED' properties={'keywords': '"introspection, personal growth"', 'description': '"Scrooge hopes to learn from the Shadow of Himself, signifying his desire for personal growth and understanding of his life choices."', 'weight': 9.0, 'source_id': 'chunk-f1a4fbcf1ed86864b9bfd5e8dba4c683'}> +2024-10-29 15:29:46,545 - lightrag - INFO - get_edge:query: + MATCH (source:`SCROOGE`)-[r]-(target:`THE PRESENT`) + RETURN r + :result:, ) type='DIRECTED' properties={'keywords': '"change, awareness"', 'description': '"Scrooge emphasizes the importance of living fully in The Present to change his fate going forward."', 'weight': 9.0, 'source_id': 'chunk-91572b3cd42786ba4cb2f180ca25cbf4'}> +2024-10-29 15:29:46,641 - lightrag - INFO - get_edge:query: + MATCH (source:`SCROOGE`)-[r]-(target:`THE SITTING ROOM`) + RETURN r + :result:, ) type='DIRECTED' properties={'keywords': '"reflection, transformation"', 'description': '"The Sitting Room is where Scrooge reflects on his past and contemplates his future, crucial to his transformation."', 'weight': 8.0, 'source_id': 'chunk-90b95db5c53e4364a6bee36b7aa4d70f'}> +2024-10-29 15:29:46,735 - lightrag - INFO - get_edge:query: + MATCH (source:`GHOST`)-[r]-(target:`IGNORANCE`) + RETURN r + :result:, ) type='DIRECTED' properties={'keywords': '"societal issues, responsibility"', 'description': '"The Ghost presents Ignorance to Scrooge as a representation of societal neglect and a call for responsibility from humanity."', 'weight': 8.0, 'source_id': 'chunk-e7637ff18c5ded77a68cce0a87883fad'}> +2024-10-29 15:29:46,830 - lightrag - INFO - get_edge:query: + MATCH (source:`CHRISTMAS`)-[r]-(target:`THE GHOST`) + RETURN r + :result:, ) type='DIRECTED' properties={'keywords': '"spiritual guide, thematic connection"', 'description': '"The Ghosts represent the essence of Christmas, highlighting the themes of generosity and change during this festive time."', 'weight': 8.0, 'source_id': 'chunk-02baee20cc9463dbe08170a8e1043e32'}> +2024-10-29 15:29:46,929 - lightrag - INFO - get_edge:query: + MATCH (source:`PORTLY GENTLEMEN`)-[r]-(target:`SCROOGE`) + RETURN r + :result:, ) type='DIRECTED' properties={'keywords': '"charity rejection, conflict"', 'description': '"Scrooge dismisses the Portly Gentlemen\'s request for donations, rejecting their appeal for charity."', 'weight': 8.0, 'source_id': 'chunk-5dac41b3f9eeaf794f0147400b1718cd'}> +2024-10-29 15:29:47,033 - lightrag - INFO - get_edge:query: + MATCH (source:`MR. MARLEY`)-[r]-(target:`SCROOGE`) + RETURN r + :result:, ) type='DIRECTED' properties={'keywords': '"past connection, isolation"', 'description': '"Scrooge reflects on Mr. Marley\'s death, highlighting his isolation and connection to past values that he now rejects."', 'weight': 7.0, 'source_id': 'chunk-5dac41b3f9eeaf794f0147400b1718cd'}> +2024-10-29 15:29:47,133 - lightrag - INFO - get_edge:query: + MATCH (source:`SCROOGE`)-[r]-(target:`THE PHANTOM`) + RETURN r + :result:, ) type='DIRECTED' properties={'keywords': '"guidance, self-reflection"', 'description': '"Scrooge interacts with the Phantom, which guides him through reflections on his life and future, emphasizing his journey of change."', 'weight': 9.0, 'source_id': 'chunk-f1a4fbcf1ed86864b9bfd5e8dba4c683'}> +2024-10-29 15:29:47,229 - lightrag - INFO - get_edge:query: + MATCH (source:`JOE`)-[r]-(target:`THE WOMAN`) + RETURN r + :result:, ) type='DIRECTED' properties={'keywords': '"dialogue, humor, death""humor, interaction"', 'description': '"Joe and The Woman engage in dialogue about the deceased\'s belongings, showcasing their interactions and differing attitudes towards death.""Joe and The Woman share a humorous exchange about the bed-curtains, reflecting the jovial spirit of the gathering."', 'weight': 12.0, 'source_id': 'chunk-89777b838d5447c7bd1ec11282c4ee89chunk-e1f29eeadc1d8ab46dc8a0bbd3c56b64'}> +2024-10-29 15:29:47,327 - lightrag - INFO - get_edge:query: + MATCH (source:`MARLEY'S GHOST`)-[r]-(target:`SCROOGE`) + RETURN r + :result:, ) type='DIRECTED' properties={'keywords': '"supernatural confrontation, regret""warning, fate"', 'description': '"Marley\'s Ghost warns Scrooge about the consequences of his actions and the visits of the three spirits, setting the stage for his transformation.""Scrooge is haunted by Marley\'s Ghost, which confronts him as a part of a supernatural occurrence meant to incite fear and reflection on his life choices."', 'weight': 18.0, 'source_id': 'chunk-9c43dac2fcd5b578242d907ea6f8fc7bchunk-cb661c37436355ccec2769b1d0350c5f'}> +2024-10-29 15:29:47,424 - lightrag - INFO - get_edge:query: + MATCH (source:`LITTLE FAN`)-[r]-(target:`SCROOGE`) + RETURN r + :result:, ) type='DIRECTED' properties={'keywords': '"family, nostalgia"', 'description': '"Little Fan\'s joyful visit emphasizes family love and the nostalgic warmth of childhood memories for Scrooge."', 'weight': 9.0, 'source_id': 'chunk-c6c248858d1b13ab7ee9ca13c1aeed6b'}> +2024-10-29 15:29:47,521 - lightrag - INFO - get_edge:query: + MATCH (source:`IGNORANCE`)-[r]-(target:`MAN`) + RETURN r + :result:, ) type='DIRECTED' properties={'keywords': '"societal responsibility, advocacy"', 'description': '"The concept of Man is tied to Ignorance and Want, illustrating the failures of society in addressing poverty and need."', 'weight': 9.0, 'source_id': 'chunk-e7637ff18c5ded77a68cce0a87883fad'}> +2024-10-29 15:29:47,622 - lightrag - INFO - get_edge:query: + MATCH (source:`SCROOGE`)-[r]-(target:`THE THREE SPIRITS`) + RETURN r + :result:, ) type='DIRECTED' properties={'keywords': '"redemption, transformation"', 'description': '"Scrooge is directly involved in the narrative concerning the Three Spirits who are meant to guide him toward redemption."', 'weight': 9.0, 'source_id': 'chunk-cb661c37436355ccec2769b1d0350c5f'}> +2024-10-29 15:29:47,719 - lightrag - INFO - get_edge:query: + MATCH (source:`SCROOGE`)-[r]-(target:`THE CHURCH`) + RETURN r + :result:, ) type='DIRECTED' properties={'keywords': '"community, spirituality"', 'description': '"Scrooge\'s visit to The Church reflects his desire to embrace the spirit of Christmas and community engagement."', 'weight': 9.0, 'source_id': 'chunk-8f738cb25d60a7dab782162d9d0a25ed'}> +2024-10-29 15:29:47,818 - lightrag - INFO - get_edge:query: + MATCH (source:`CHESTNUTS`)-[r]-(target:`CHRISTMAS`) + RETURN r + :result:, ) type='DIRECTED' properties={'keywords': '"festive foods, sensory experiences"', 'description': '"Chestnuts are sold during Christmas, contributing to the sensory experience of the holiday."', 'weight': 8.0, 'source_id': 'chunk-99b0ec7f7e006561352b5d65e849611d'}> +2024-10-29 15:29:47,923 - lightrag - INFO - get_edge:query: + MATCH (source:`FOG`)-[r]-(target:`THE CITY`) + RETURN r + :result:, ) type='DIRECTED' properties={'keywords': '"atmosphere, symbolism"', 'description': '"The fog in The City creates a dreary atmosphere, signifying confusion and obscured visibility, paralleling Scrooge\'s cold perspective on life."', 'weight': 6.0, 'source_id': 'chunk-74e2466de2f67fd710ef2f20c0a8d9e0'}> +2024-10-29 15:29:48,038 - lightrag - INFO - get_edge:query: + MATCH (source:`SCROOGE`)-[r]-(target:`THE TURKEY`) + RETURN r + :result:, ) type='DIRECTED' properties={'keywords': '"generosity, celebration"', 'description': '"Scrooge expresses joy and excitement about the turkey he plans to send, highlighting his generous transformation."', 'weight': 7.0, 'source_id': 'chunk-8f738cb25d60a7dab782162d9d0a25ed'}> +2024-10-29 15:29:48,154 - lightrag - INFO - get_edge:query: + MATCH (source:`DEATH`)-[r]-(target:`THE FUTURE`) + RETURN r + :result:, ) type='DIRECTED' properties={'keywords': '"consequences of choices, reflection"', 'description': '"The concept of The Future is intricately linked to discussions about Death, pondering the consequences of life\'s choices."', 'weight': 7.0, 'source_id': 'chunk-02baee20cc9463dbe08170a8e1043e32'}> +2024-10-29 15:29:48,249 - lightrag - INFO - get_edge:query: + MATCH (source:`CHRISTMAS`)-[r]-(target:`THE LAMPLIGHTER`) + RETURN r + :result:, ) type='DIRECTED' properties={'keywords': '"symbolism, holiday spirit"', 'description': '"The Lamplighter\'s actions of spreading light symbolize the joy and warmth associated with Christmas."', 'weight': 7.0, 'source_id': 'chunk-91614df5cb74cbe5e109a338a82041e9'}> +2024-10-29 15:29:48,343 - lightrag - INFO - get_edge:query: + MATCH (source:`SCROOGE`)-[r]-(target:`THE SPIRITS`) + RETURN r + :result:, ) type='DIRECTED' properties={'keywords': '"redemption, guidance"', 'description': '"The Spirits embody the lessons Scrooge must learn to change his life and embrace kindness."', 'weight': 9.0, 'source_id': 'chunk-90b95db5c53e4364a6bee36b7aa4d70f'}> +2024-10-29 15:29:48,442 - lightrag - INFO - get_edge:query: + MATCH (source:`JACOB`)-[r]-(target:`SCROOGE`) + RETURN r + :result:, ) type='DIRECTED' properties={'keywords': '"reflection, past relationship"', 'description': '"Scrooge reflects on his past relationship with Jacob, influenced by feelings of guilt and loss after Jacob\'s death."', 'weight': 8.0, 'source_id': 'chunk-f1a4fbcf1ed86864b9bfd5e8dba4c683'}> +2024-10-29 15:29:48,538 - lightrag - INFO - get_edge:query: + MATCH (source:`SCROOGE`)-[r]-(target:`THE REGISTER`) + RETURN r + :result:, ) type='DIRECTED' properties={'keywords': '"responsibility, mourning"', 'description': '"Scrooge\'s connection to The Register reinforces his involvement in Marley\'s death and the responsibilities that follow."', 'weight': 8.0, 'source_id': 'chunk-89777b838d5447c7bd1ec11282c4ee89'}> +2024-10-29 15:29:48,634 - lightrag - INFO - get_edge:query: + MATCH (source:`SCROOGE`)-[r]-(target:`THE COLD`) + RETURN r + :result:, ) type='DIRECTED' properties={'keywords': '"metaphor, emotional state"', 'description': '"The Cold serves as a metaphor for Scrooge\'s emotional state, indicating his lack of warmth and compassion."', 'weight': 8.0, 'source_id': 'chunk-74e2466de2f67fd710ef2f20c0a8d9e0'}> +2024-10-29 15:29:48,729 - lightrag - INFO - get_edge:query: + MATCH (source:`SCROOGE`)-[r]-(target:`THE MAIN STREET`) + RETURN r + :result:, ) type='DIRECTED' properties={'keywords': '"social dynamics, personal struggle"', 'description': '"Scrooge\'s experiences on The Main Street during Christmas time reflect his discontent with the surrounding joy and celebrations."', 'weight': 6.0, 'source_id': 'chunk-90d5764e301321c087f5a8f78b73a145'}> +2024-10-29 15:29:48,820 - lightrag - INFO - get_edge:query: + MATCH (source:`APPLES`)-[r]-(target:`CHRISTMAS`) + RETURN r + :result:, ) type='DIRECTED' properties={'keywords': '"seasonal offerings, tradition"', 'description': '"Apples are featured in markets during Christmas, indicating traditional holiday fare."', 'weight': 6.0, 'source_id': 'chunk-99b0ec7f7e006561352b5d65e849611d'}> +2024-10-29 15:29:48,912 - lightrag - INFO - get_edge:query: + MATCH (source:`SCROOGE`)-[r]-(target:`THE CASK`) + RETURN r + :result:, ) type='DIRECTED' properties={'keywords': '"fear, tension"', 'description': '"The Cask is associated with the sounds of chains during the haunting, heightening Scrooge\'s fear and trepidation about the ghostly visit."', 'weight': 8.0, 'source_id': 'chunk-9c43dac2fcd5b578242d907ea6f8fc7b'}> +2024-10-29 15:29:49,007 - lightrag - INFO - get_edge:query: + MATCH (source:`SCROOGE`)-[r]-(target:`THE BLANKETS`) + RETURN r + :result:, ) type='DIRECTED' properties={'keywords': '"neglect, reflection"', 'description': '"Scrooge contemplates the significance of The Blankets, linking them to the neglected state of The Deceased in death."', 'weight': 8.0, 'source_id': 'chunk-e1f29eeadc1d8ab46dc8a0bbd3c56b64'}> +2024-10-29 15:29:49,101 - lightrag - INFO - get_edge:query: + MATCH (source:`GHOST OF CHRISTMAS PRESENT`)-[r]-(target:`SPIRIT`) + RETURN r + :result:, ) type='DIRECTED' properties={'keywords': '"mentoring, generosity"', 'description': '"The Ghost embodies the essence of Christmas present, revealing the themes of joy and abundance to Scrooge."', 'weight': 10.0, 'source_id': 'chunk-843b5b2f944c7413d9ca876e2e2f151f'}> +2024-10-29 15:29:49,196 - lightrag - INFO - get_edge:query: + MATCH (source:`SCROOGE`)-[r]-(target:`TOPPER`) + RETURN r + :result:, ) type='DIRECTED' properties={'keywords': '"observation, merriment"', 'description': '"Scrooge observes Topper\'s antics and expressions of joy during the games, revealing a reflection on human nature and merriment."', 'weight': 6.0, 'source_id': 'chunk-43c9bee23adfa77aa9dedd22401bba7d'}> +2024-10-29 15:29:49,287 - lightrag - INFO - get_edge:query: + MATCH (source:`SCROOGE`)-[r]-(target:`THE YOUNG GIRL`) + RETURN r + :result:, ) type='DIRECTED' properties={'keywords': '"reflection, lost love"', 'description': '"Scrooge reflects on his past feelings for the Young Girl, recognizing the change in his own spirit and desires over time."', 'weight': 8.0, 'source_id': 'chunk-54bdd22db1f84a965b5f4c06c9216d8d'}> +2024-10-29 15:29:49,379 - lightrag - INFO - get_edge:query: + MATCH (source:`SCROOGE`)-[r]-(target:`THE WAREHOUSE`) + RETURN r + :result:, ) type='DIRECTED' properties={'keywords': '"memories, apprenticeship"', 'description': '"Scrooge\'s connection to the Warehouse emphasizes his memories of apprenticeship and his past experiences."', 'weight': 8.0, 'source_id': 'chunk-c6c248858d1b13ab7ee9ca13c1aeed6b'}> +2024-10-29 15:29:49,481 - lightrag - INFO - get_edge:query: + MATCH (source:`CHRISTMAS`)-[r]-(target:`THE MANSION HOUSE`) + RETURN r + :result:, ) type='DIRECTED' properties={'keywords': '"festivities, governance"', 'description': '"The Mansion House is referenced in the context of Christmas celebrations, illustrating its role in festive festivities and governance."', 'weight': 7.0, 'source_id': 'chunk-90d5764e301321c087f5a8f78b73a145'}> +2024-10-29 15:29:49,576 - lightrag - INFO - get_edge:query: + MATCH (source:`CHRISTMAS`)-[r]-(target:`THE GROCERS`) + RETURN r + :result:, ) type='DIRECTED' properties={'keywords': '"community engagement, festive spirit"', 'description': '"The Grocers contribute to the festive Christmas atmosphere by providing goods and serving eager customers."', 'weight': 9.0, 'source_id': 'chunk-99b0ec7f7e006561352b5d65e849611d'}> +2024-10-29 15:29:49,671 - lightrag - INFO - get_edge:query: + MATCH (source:`ALI BABA`)-[r]-(target:`SCROOGE`) + RETURN r + :result:, ) type='DIRECTED' properties={'keywords': '"nostalgia, childhood stories"', 'description': '"Scrooge recalls Ali Baba while reflecting on memories of Christmas, indicating a strong personal connection to the story and its impact on him."', 'weight': 8.0, 'source_id': 'chunk-8590d9263cd2cd4fa583c432fc54e6c3'}> +2024-10-29 15:29:49,766 - lightrag - INFO - get_edge:query: + MATCH (source:`FRIDAY`)-[r]-(target:`SCROOGE`) + RETURN r + :result:, ) type='DIRECTED' properties={'keywords': '"storytelling, childhood memories"', 'description': '"Scrooge\'s mention of Friday signifies his recollection of childhood stories and influences during Christmas time."', 'weight': 5.0, 'source_id': 'chunk-8590d9263cd2cd4fa583c432fc54e6c3'}> +2024-10-29 15:29:49,861 - lightrag - INFO - get_edge:query: + MATCH (source:`BOB`)-[r]-(target:`SCROOGE`) + RETURN r + :result:, ) type='DIRECTED' properties={'keywords': '"humor, generosity"', 'description': '"Scrooge makes a humorous comment about sending a large turkey to Bob, indicating a lighthearted relationship."', 'weight': 6.0, 'source_id': 'chunk-8f738cb25d60a7dab782162d9d0a25ed'}> +2024-10-29 15:29:49,953 - lightrag - INFO - get_edge:query: + MATCH (source:`BOB CRATCHIT`)-[r]-(target:`SCROOGE`) + RETURN r + :result:, ) type='DIRECTED' properties={'keywords': '"employment, generosity""employment, power dynamic""employment, social reflection""family dynamics, acknowledgment""generosity, relationship change""gratitude, redemption"', 'description': '"Bob Cratchit tries to maintain a positive atmosphere during the Christmas feast despite the negative association with Scrooge.""Bob praises Scrooge as \'The Founder of the Feast\', showing appreciation despite Scrooge’s previous miserliness.""Scrooge decides to send a turkey to Bob Cratchit, indicating a newfound kindness towards him and his family.""Scrooge is Bob Cratchit\'s employer, and he reflects on the challenges Bob faces regarding family and food on Christmas Day.".""Scrooge is the employer of Bob Cratchit, demonstrating a power dynamic characterized by Scrooge\'s harsh treatment and Bob\'s subservient role.""Scrooge reprimands Bob for arriving late, but ultimately decides to raise his salary, signaling a significant change in their employer-employee relationship."', 'weight': 40.0, 'source_id': 'chunk-503f0bfa5453467c7c61d160a3540ecachunk-90b95db5c53e4364a6bee36b7aa4d70fchunk-b0f459f5af1c3a5e0b92cbe4ee48b77bchunk-d9aac3484185ac66045df92214d245d5chunk-94bea83e7153fc2064aa382b494936a1chunk-19d72c57ae3408758b18d2568e86dc6b'}> +2024-10-29 15:29:50,048 - lightrag - INFO - get_edge:query: + MATCH (source:`SCROOGE`)-[r]-(target:`TINY TIM`) + RETURN r + :result:, ) type='DIRECTED' properties={'keywords': '"personal transformation, empathy""transformation, mentorship""transformation, redemption"', 'description': '"Scrooge becomes a father figure to Tiny Tim, showing a deep commitment to his well-being after realizing the importance of family and caring for others.""Scrooge reflects on Tiny Tim and expresses concern for his wellbeing, indicating a pivotal change in his character and attitudes towards the less fortunate.""Scrooge\'s transformation is influenced by his reflections on the impact of Tiny Tim\'s life and death."', 'weight': 26.0, 'source_id': 'chunk-94bea83e7153fc2064aa382b494936a1chunk-503f0bfa5453467c7c61d160a3540ecachunk-91572b3cd42786ba4cb2f180ca25cbf4'}> +2024-10-29 15:29:50,145 - lightrag - INFO - get_edge:query: + MATCH (source:`SCROOGE`)-[r]-(target:`THE CITY`) + RETURN r + :result:, ) type='DIRECTED' properties={'keywords': '"disconnection, personal evolution""reflection, urban life"', 'description': '"Scrooge\'s reflections in the City highlight his relationship with his past and the contrast of his current life.""Scrooge\'s relationship with The City is marked by detachment, representing his lost connection to his past self and experiences."', 'weight': 10.0, 'source_id': 'chunk-bb21d58d36c6306fd8810ddd51c4a971chunk-c6c248858d1b13ab7ee9ca13c1aeed6b'}> +2024-10-29 15:29:50,236 - lightrag - INFO - get_edge:query: + MATCH (source:`RUSTY KEYS, NAILS, CHAINS, HINGES`)-[r]-(target:`THE LOW-BROWED SHOP`) + RETURN r + :result:, ) type='DIRECTED' properties={'keywords': '"symbolism, societal neglect"', 'description': '"The Rusty Keys, Nails, Chains, and Hinges within the Low-Browed Shop highlight the decay and abandonment of valued items, metaphorically reflecting societal neglect."', 'weight': 7.0, 'source_id': 'chunk-f1a4fbcf1ed86864b9bfd5e8dba4c683'}> +2024-10-29 15:29:50,330 - lightrag - INFO - get_edge:query: + MATCH (source:`MARLEY'S GHOST`)-[r]-(target:`THE CANDLE`) + RETURN r + :result:, ) type='DIRECTED' properties={'keywords': '"hope, contrast"', 'description': '"The Candle\'s light contrasts with the darkness of the haunting, representing the flicker of hope amidst Scrooge\'s despair."', 'weight': 7.0, 'source_id': 'chunk-9c43dac2fcd5b578242d907ea6f8fc7b'}> +2024-10-29 15:29:50,425 - lightrag - INFO - get_edge:query: + MATCH (source:`ORSON`)-[r]-(target:`SCROOGE`) + RETURN r + :result:, ) type='DIRECTED' properties={'keywords': '"family memories, nostalgia"', 'description': '"Same as above, Orson is part of Scrooge\'s memories of his brothers during Christmas time, emphasizing themes of togetherness and nostalgia."', 'weight': 6.0, 'source_id': 'chunk-8590d9263cd2cd4fa583c432fc54e6c3'}> +2024-10-29 15:29:50,517 - lightrag - INFO - get_edge:query: + MATCH (source:`SCROOGE`)-[r]-(target:`THE SPIRIT`) + RETURN r + :result:, ) type='DIRECTED' properties={'keywords': '"guidance, transformation""moral guidance, transformation""self-reflection, transformation""supernatural guidance, self-reflection""supernatural intervention, guidance"', 'description': '"Scrooge engages with the Spirit as it reveals memories that prompt significant self-reflection and consideration of change.""Scrooge is guided by the Spirit, who shows him different scenes related to the joy and struggles of Christmas, aiming to change his heart.""The Spirit challenges Scrooge\'s perspective on life, urging him to consider the implications of his actions in light of death.""The Spirit represents an upcoming change in Scrooge\'s life, aiming to guide him towards redemption.""The Spirit represents moral lessons and urges Scrooge to change his ways for a better future."', 'weight': 47.0, 'source_id': 'chunk-b2f98bc7abb0c67d4c86055c7fd72218chunk-e1f29eeadc1d8ab46dc8a0bbd3c56b64chunk-91572b3cd42786ba4cb2f180ca25cbf4chunk-da2472b4ef2a535b62908f14d0fb0ca9chunk-91614df5cb74cbe5e109a338a82041e9'}> +2024-10-29 15:29:50,611 - lightrag - INFO - get_edge:query: + MATCH (source:`DICK`)-[r]-(target:`SCROOGE`) + RETURN r + :result:, ) type='DIRECTED' properties={'keywords': '"nostalgia, friendship"', 'description': '"Scrooge remembers Dick as a part of his past, highlighting their shared experiences during happier times."', 'weight': 7.0, 'source_id': 'chunk-b2f98bc7abb0c67d4c86055c7fd72218'}> +2024-10-29 15:29:50,704 - lightrag - INFO - get_edge:query: + MATCH (source:`SCROOGE`)-[r]-(target:`THE COUNTING-HOUSE`) + RETURN r + :result:, ) type='DIRECTED' properties={'keywords': '"work environment, character development""work environment, personality reflection"', 'description': '"Scrooge\'s work environment reflects his personality, being cold and uninviting, mirroring his discontent with life.""The Counting-House is where Scrooge works, illustrating the environment that shapes his bleak personality."', 'weight': 14.0, 'source_id': 'chunk-d9aac3484185ac66045df92214d245d5chunk-74e2466de2f67fd710ef2f20c0a8d9e0'}> +2024-10-29 15:33:52,987 - lightrag - INFO - Logger initialized for working directory: ./neo4jWorkDir +2024-10-29 15:33:52,987 - lightrag - DEBUG - LightRAG init with param: + working_dir = ./neo4jWorkDir, + chunk_token_size = 1200, + chunk_overlap_token_size = 100, + tiktoken_model_name = gpt-4o-mini, + entity_extract_max_gleaning = 1, + entity_summary_to_max_tokens = 500, + node_embedding_algorithm = node2vec, + node2vec_params = {'dimensions': 1536, 'num_walks': 10, 'walk_length': 40, 'window_size': 2, 'iterations': 3, 'random_seed': 3}, + embedding_func = {'embedding_dim': 1536, 'max_token_size': 8192, 'func': }, + embedding_batch_num = 32, + embedding_func_max_async = 16, + llm_model_func = , + llm_model_name = meta-llama/Llama-3.2-1B-Instruct, + llm_model_max_token_size = 32768, + llm_model_max_async = 16, + key_string_value_json_storage_cls = , + vector_db_storage_cls = , + vector_db_storage_cls_kwargs = {}, + graph_storage_cls = , + enable_llm_cache = True, + addon_params = {}, + convert_response_to_json_func = + +2024-10-29 15:33:52,988 - lightrag - INFO - Load KV full_docs with 1 data +2024-10-29 15:33:52,989 - lightrag - INFO - Load KV text_chunks with 42 data +2024-10-29 15:33:52,990 - lightrag - INFO - Load KV llm_response_cache with 88 data +2024-10-29 15:33:53,011 - lightrag - INFO - Creating a new event loop in a sub-thread. +2024-10-29 15:33:53,011 - lightrag - WARNING - All docs are already in the storage +2024-10-29 15:33:53,032 - lightrag - INFO - Creating a new event loop in a sub-thread. +2024-10-29 15:33:53,691 - lightrag - INFO - Truncate 39 to 3 chunks +2024-10-29 15:33:53,704 - lightrag - INFO - Creating a new event loop in a sub-thread. +2024-10-29 15:33:54,760 - lightrag - INFO - get_node:query:MATCH (n:`EMOTION`) RETURN n:result: +2024-10-29 15:33:54,846 - lightrag - INFO - get_node:query:MATCH (n:`DARKNESS`) RETURN n:result: +2024-10-29 15:33:54,937 - lightrag - INFO - get_node:query:MATCH (n:`THE PHANTOM`) RETURN n:result: +2024-10-29 15:33:55,025 - lightrag - INFO - get_node:query:MATCH (n:`THE COSMIC SIGNIFICANCE`) RETURN n:result: +2024-10-29 15:33:55,114 - lightrag - INFO - get_node:query:MATCH (n:`CHRISTMAS HOLIDAYS`) RETURN n:result: +2024-10-29 15:33:55,199 - lightrag - INFO - get_node:query:MATCH (n:`PONDEROUS CHAIN`) RETURN n:result: +2024-10-29 15:33:55,287 - lightrag - INFO - get_node:query:MATCH (n:`HUMANITY`) RETURN n:result: +2024-10-29 15:33:55,378 - lightrag - INFO - get_node:query:MATCH (n:`CHRISTMAS`) RETURN n:result:"Christmas is a festive occasion that has led to a joyful transformation in Scrooge\'s character and actions.""Christmas is a festive time celebrated by the Cratchit family, symbolizing joy, family togetherness, and generosity.""Christmas is a significant holiday that serves as the backdrop for Scrooge\'s transformation and the events that unfold during the narrative.""Christmas is a significant holiday that triggers Scrooge\'s memories and reflections on joy, loneliness, and his past.""Christmas is central to the text, symbolizing generosity, charity, and warmth that Scrooge rejects.""Christmas is depicted as a festive season when charity and social duty are emphasized, contrasting with Scrooge\'s values.""Christmas is depicted as a time associated with joy and abundance, contrasting with Scrooge\'s initial views.""Christmas is depicted as a time of joy and communal spirit, marked by people\'s activities and interactions in the streets.""Christmas is depicted as a time of joy and generosity, contrasting sharply with Scrooge\'s past behavior and current solitude.""Christmas is portrayed as a festive time that Scrooge dismisses, emphasizing the contrast between joy and his miserable attitude.""Christmas is portrayed as a time of joy, reflection, and connection, emphasizing the positive impact of the holiday spirit on individuals and communities.""Christmas is presented as a time for merriment and social gatherings, which Scrooge\'s nephew advocates for despite his uncle\'s opposition.""Christmas is the central holiday during which the events unfold, leading to significant character transformations and themes of generosity.""Christmas is the season during which festive activities and celebrations are occurring, including dances and gatherings.""Christmas represents a time of reflection and change for Scrooge, emphasizing themes of redemption.""Christmas serves as a thematic backdrop for the story, symbolizing redemption, generosity, and the spirit of giving."', 'source_id': 'chunk-91614df5cb74cbe5e109a338a82041e9chunk-503f0bfa5453467c7c61d160a3540ecachunk-773d0df1dd25c356f7b771d780583e09chunk-8f738cb25d60a7dab782162d9d0a25edchunk-e7637ff18c5ded77a68cce0a87883fadchunk-8590d9263cd2cd4fa583c432fc54e6c3chunk-54bdd22db1f84a965b5f4c06c9216d8dchunk-02baee20cc9463dbe08170a8e1043e32chunk-90d5764e301321c087f5a8f78b73a145chunk-91572b3cd42786ba4cb2f180ca25cbf4chunk-1d4b58de5429cd1261370c231c8673e8chunk-da2472b4ef2a535b62908f14d0fb0ca9chunk-94bea83e7153fc2064aa382b494936a1chunk-89777b838d5447c7bd1ec11282c4ee89chunk-99b0ec7f7e006561352b5d65e849611dchunk-74e2466de2f67fd710ef2f20c0a8d9e0chunk-5dac41b3f9eeaf794f0147400b1718cd'}> +2024-10-29 15:33:55,469 - lightrag - INFO - get_node:query:MATCH (n:`DEATH`) RETURN n:result:"Death is described as a powerful force in the narrative, represented through the imagery of a cold, rigid presence and the contemplation of mortality.""Death refers to the passing of a character that triggers a range of emotions and reflections among the living, influencing their lives and relationships."', 'source_id': 'chunk-e1f29eeadc1d8ab46dc8a0bbd3c56b64chunk-83ac129dc9b56f84c46760d153d68e93chunk-02baee20cc9463dbe08170a8e1043e32'}> +2024-10-29 15:33:55,559 - lightrag - INFO - get_node:query:MATCH (n:`SCROOGE`) RETURN n:result:chunk-b2f98bc7abb0c67d4c86055c7fd72218chunk-91614df5cb74cbe5e109a338a82041e9chunk-8f738cb25d60a7dab782162d9d0a25edchunk-e7637ff18c5ded77a68cce0a87883fadchunk-d9aac3484185ac66045df92214d245d5chunk-90b95db5c53e4364a6bee36b7aa4d70fchunk-89777b838d5447c7bd1ec11282c4ee89chunk-c6c248858d1b13ab7ee9ca13c1aeed6bchunk-5dac41b3f9eeaf794f0147400b1718cdchunk-773d0df1dd25c356f7b771d780583e09chunk-843b5b2f944c7413d9ca876e2e2f151fchunk-f1a4fbcf1ed86864b9bfd5e8dba4c683chunk-359187e7571bda4b0b08b2e0b6581e52chunk-503f0bfa5453467c7c61d160a3540ecachunk-9c43dac2fcd5b578242d907ea6f8fc7bchunk-b0f459f5af1c3a5e0b92cbe4ee48b77bchunk-1aa50206d02ed89418f65f97c6441d1cchunk-54bdd22db1f84a965b5f4c06c9216d8dchunk-cb661c37436355ccec2769b1d0350c5fchunk-90d5764e301321c087f5a8f78b73a145chunk-91572b3cd42786ba4cb2f180ca25cbf4chunk-da2472b4ef2a535b62908f14d0fb0ca9chunk-99b0ec7f7e006561352b5d65e849611dchunk-43c9bee23adfa77aa9dedd22401bba7dchunk-83ac129dc9b56f84c46760d153d68e93chunk-e1f29eeadc1d8ab46dc8a0bbd3c56b64chunk-8590d9263cd2cd4fa583c432fc54e6c3chunk-02baee20cc9463dbe08170a8e1043e32chunk-94bea83e7153fc2064aa382b494936a1chunk-74e2466de2f67fd710ef2f20c0a8d9e0chunk-19d72c57ae3408758b18d2568e86dc6b'}> +2024-10-29 15:33:55,646 - lightrag - INFO - get_node:query:MATCH (n:`RUSTY KEYS, NAILS, CHAINS, HINGES`) RETURN n:result: +2024-10-29 15:33:55,735 - lightrag - INFO - get_node:query:MATCH (n:`THE PENANCE`) RETURN n:result: +2024-10-29 15:33:55,825 - lightrag - INFO - get_node:query:MATCH (n:`MAN`) RETURN n:result: +2024-10-29 15:33:55,912 - lightrag - INFO - get_node:query:MATCH (n:`THE SCHOOLMASTER`) RETURN n:result: +2024-10-29 15:33:55,999 - lightrag - INFO - get_node:query:MATCH (n:`THE GRAVE`) RETURN n:result: +2024-10-29 15:33:56,091 - lightrag - INFO - get_node:query:MATCH (n:`KEYHOLE`) RETURN n:result: +2024-10-29 15:33:56,176 - lightrag - INFO - get_node:query:MATCH (n:`SCHOOL`) RETURN n:result: +2024-10-29 15:33:56,263 - lightrag - INFO - get_node:query:MATCH (n:`THE CHAIN`) RETURN n:result:"The Chain symbolizes the burdens of the past that haunt the spirits, showcasing the consequences of one\'s actions in life."', 'source_id': 'chunk-359187e7571bda4b0b08b2e0b6581e52chunk-cb661c37436355ccec2769b1d0350c5f'}> +2024-10-29 15:33:56,351 - lightrag - INFO - get_node:query:MATCH (n:`THE THREE SPIRITS`) RETURN n:result: +2024-10-29 15:33:56,439 - lightrag - INFO - get_node:query:MATCH (n:`THE COLD`) RETURN n:result: +2024-10-29 15:33:56,528 - lightrag - INFO - get_node:query:MATCH (n:`DEEDS`) RETURN n:result: +2024-10-29 15:33:56,615 - lightrag - INFO - get_node:query:MATCH (n:`THE BLESSED STAR`) RETURN n:result: +2024-10-29 15:33:56,704 - lightrag - INFO - get_node:query:MATCH (n:`THE CANDLE`) RETURN n:result: +2024-10-29 15:33:56,795 - lightrag - INFO - get_node:query:MATCH (n:`FROST`) RETURN n:result: +2024-10-29 15:33:56,896 - lightrag - INFO - get_node:query:MATCH (n:`THE TRANSPARENT WINDOW`) RETURN n:result: +2024-10-29 15:33:56,989 - lightrag - INFO - get_node:query:MATCH (n:`THE CANDLE-LIGHT`) RETURN n:result: +2024-10-29 15:33:57,097 - lightrag - INFO - get_node:query:MATCH (n:`POVERTY`) RETURN n:result: +2024-10-29 15:33:57,189 - lightrag - INFO - get_node:query:MATCH (n:`SUNDAY CLOTHES BOY`) RETURN n:result: +2024-10-29 15:33:57,277 - lightrag - INFO - get_node:query:MATCH (n:`THE SOLITARY CHILD`) RETURN n:result: +2024-10-29 15:33:57,365 - lightrag - INFO - get_node:query:MATCH (n:`CITY`) RETURN n:result:"The City represents the urban setting where Scrooge witnesses the indifference of its inhabitants regarding his death.""The City represents the urban setting where Scrooge\'s transformation takes place, symbolizing the broader society impacted by his changes."', 'source_id': 'chunk-843b5b2f944c7413d9ca876e2e2f151fchunk-94bea83e7153fc2064aa382b494936a1chunk-02baee20cc9463dbe08170a8e1043e32'}> +2024-10-29 15:33:57,452 - lightrag - INFO - get_node:query:MATCH (n:`FEARFUL PLACE`) RETURN n:result: +2024-10-29 15:33:57,540 - lightrag - INFO - get_node:query:MATCH (n:`IRON CABLE`) RETURN n:result: +2024-10-29 15:33:57,628 - lightrag - INFO - get_node:query:MATCH (n:`SPIRIT`) RETURN n:result:"The Spirit embodies the lessons of compassion and social responsibility, guiding Scrooge through his reflections and realizations.""The Spirit is the manifestation of Scrooge\'s past that guides him through his memories, representing his former self and the influence of time.""The Spirit represents a ghostly entity, guiding Scrooge through visions of potential future events and urging him to acknowledge societal issues.""The Spirit represents a supernatural entity guiding Scrooge through his reflections on life, death, and human emotions, prompting self-awareness.""The Spirit represents the embodiment of the Christmas present, personifying the themes of generosity and merriment."', 'source_id': 'chunk-bb21d58d36c6306fd8810ddd51c4a971chunk-83ac129dc9b56f84c46760d153d68e93chunk-e7637ff18c5ded77a68cce0a87883fadchunk-843b5b2f944c7413d9ca876e2e2f151fchunk-1aa50206d02ed89418f65f97c6441d1cchunk-02baee20cc9463dbe08170a8e1043e32'}> +2024-10-29 15:33:57,717 - lightrag - INFO - get_node:query:MATCH (n:`THE SETTING SUN`) RETURN n:result: +2024-10-29 15:33:57,806 - lightrag - INFO - get_node:query:MATCH (n:`KEYS`) RETURN n:result: +2024-10-29 15:33:57,892 - lightrag - INFO - get_node:query:MATCH (n:`THE CLOTHES AND ITEMS`) RETURN n:result: +2024-10-29 15:33:57,981 - lightrag - INFO - get_node:query:MATCH (n:`AVARICE`) RETURN n:result: +2024-10-29 15:33:58,067 - lightrag - INFO - get_node:query:MATCH (n:`THE FIREPLACE`) RETURN n:result: +2024-10-29 15:33:58,156 - lightrag - INFO - get_node:query:MATCH (n:`WANT`) RETURN n:result: +2024-10-29 15:33:58,243 - lightrag - INFO - get_node:query:MATCH (n:`THE DAUGHTER`) RETURN n:result: +2024-10-29 15:33:58,329 - lightrag - INFO - get_node:query:MATCH (n:`CHRISTMAS-TIME`) RETURN n:result:"Christmas-time represents the festive season, a recurring theme that evokes memories and emotions in Scrooge’s reflections.""Christmas-time serves as a backdrop for the narrative, emphasizing themes of reflection, mortality, and social interactions."', 'source_id': 'chunk-f1a4fbcf1ed86864b9bfd5e8dba4c683chunk-c6c248858d1b13ab7ee9ca13c1aeed6bchunk-5dac41b3f9eeaf794f0147400b1718cd'}> +2024-10-29 15:33:58,411 - lightrag - INFO - get_node:query:MATCH (n:`THE BED`) RETURN n:result: +2024-10-29 15:33:58,503 - lightrag - INFO - get_node:query:MATCH (n:`SHADOW OF HIMSELF`) RETURN n:result: +2024-10-29 15:33:58,592 - lightrag - INFO - get_node:query:MATCH (n:`KIND WORD`) RETURN n:result: +2024-10-29 15:33:58,681 - lightrag - INFO - get_node:query:MATCH (n:`GAOL`) RETURN n:result: +2024-10-29 15:33:58,770 - lightrag - INFO - get_node:query:MATCH (n:`IGNORANCE`) RETURN n:result:"Ignorance is personified as a boy that symbolizes the dangers of ignoring social issues and the consequences of a lack of awareness."', 'source_id': 'chunk-02baee20cc9463dbe08170a8e1043e32chunk-e7637ff18c5ded77a68cce0a87883fad'}> +2024-10-29 15:33:58,860 - lightrag - INFO - get_node:query:MATCH (n:`CHILDREN`) RETURN n:result:"The Children represent the joyful, carefree aspects of Scrooge\'s past, embodying happiness and the innocence of youth that he has long forgotten."', 'source_id': 'chunk-bb21d58d36c6306fd8810ddd51c4a971chunk-e7637ff18c5ded77a68cce0a87883fad'}> +2024-10-29 15:33:58,948 - lightrag - INFO - get_node:query:MATCH (n:`THE ROOM BY DAYLIGHT`) RETURN n:result: +2024-10-29 15:33:59,037 - lightrag - INFO - get_node:query:MATCH (n:`THE BOTTLE`) RETURN n:result: +2024-10-29 15:33:59,125 - lightrag - INFO - get_node:query:MATCH (n:`THE FLANNEL BAG`) RETURN n:result: +2024-10-29 15:33:59,210 - lightrag - INFO - get_node:query:MATCH (n:`A CHRISTMAS CAROL`) RETURN n:result: +2024-10-29 15:33:59,293 - lightrag - INFO - get_node:query:MATCH (n:`THE YOUNG GIRL`) RETURN n:result: +2024-10-29 15:33:59,381 - lightrag - INFO - get_node:query:MATCH (n:`THE CITY`) RETURN n:result:"The City represents the bustling urban environment where Scrooge reflects on his past, filled with activity and shadowy figures.""The City, from which Scrooge is transported, represents his past life and is contrasted with the open country road that signifies his memories."', 'source_id': 'chunk-bb21d58d36c6306fd8810ddd51c4a971chunk-c6c248858d1b13ab7ee9ca13c1aeed6bchunk-74e2466de2f67fd710ef2f20c0a8d9e0'}> +2024-10-29 15:33:59,470 - lightrag - INFO - get_node:query:MATCH (n:`GHOST`) RETURN n:result:"The Ghost refers to the spirit guiding Scrooge, embodying the themes of memory and reflection on the joys of Christmas.""The Ghost represents a spiritual guide that takes Scrooge on a journey to learn important lessons about compassion and humanity.""The Ghost serves as a supernatural guide for Scrooge, prompting him to reflect on his life and choices."', 'source_id': 'chunk-503f0bfa5453467c7c61d160a3540ecachunk-c6c248858d1b13ab7ee9ca13c1aeed6bchunk-e7637ff18c5ded77a68cce0a87883fadchunk-43c9bee23adfa77aa9dedd22401bba7d'}> +2024-10-29 15:33:59,560 - lightrag - INFO - get_node:query:MATCH (n:`MERCILESS CREDITOR`) RETURN n:result: +2024-10-29 15:33:59,650 - lightrag - INFO - get_node:query:MATCH (n:`THE SPIRITS`) RETURN n:result:"The Spirits represent the past, present, and future in Scrooge\'s life, guiding him toward redemption and self-reflection."', 'source_id': 'chunk-90b95db5c53e4364a6bee36b7aa4d70fchunk-cb661c37436355ccec2769b1d0350c5f'}> +2024-10-29 15:33:59,736 - lightrag - INFO - get_node:query:MATCH (n:`THE MOTHER`) RETURN n:result:"The Mother is a character associated with the family dynamics during the Christmas scene, though her actions are not explicitly detailed.""The Mother is depicted as a comely matron, who enjoys the laughter and chaos with her children, showing warmth and family value."', 'source_id': 'chunk-da2472b4ef2a535b62908f14d0fb0ca9chunk-83ac129dc9b56f84c46760d153d68e93chunk-54bdd22db1f84a965b5f4c06c9216d8d'}> +2024-10-29 15:33:59,826 - lightrag - INFO - get_node:query:MATCH (n:`LIGHT`) RETURN n:result: +2024-10-29 15:33:59,915 - lightrag - INFO - get_node:query:MATCH (n:`TWO YOUNG CRATCHITS`) RETURN n:result: +2024-10-29 15:34:00,004 - lightrag - INFO - get_node:query:MATCH (n:`JOE`) RETURN n:result:"Joe is a marine-store dealer depicted as receiving stolen goods, illustrating the consequences of crime and the darker sides of society.""Joe is portrayed as a character engaged in a conversation about the deceased, displaying a mix of humor and practicality in dealing with the possessions of the dead."', 'source_id': 'chunk-89777b838d5447c7bd1ec11282c4ee89chunk-9e3921da66da5d761ab73cd849af6c43chunk-e1f29eeadc1d8ab46dc8a0bbd3c56b64'}> +2024-10-29 15:34:00,141 - lightrag - INFO - _find_node_degree:query: + MATCH (n:`EMOTION`) + RETURN COUNT{ (n)--() } AS totalEdgeCount + :result:0 +2024-10-29 15:34:00,309 - lightrag - INFO - _find_node_degree:query: + MATCH (n:`DARKNESS`) + RETURN COUNT{ (n)--() } AS totalEdgeCount + :result:1 +2024-10-29 15:34:00,479 - lightrag - INFO - _find_node_degree:query: + MATCH (n:`THE PHANTOM`) + RETURN COUNT{ (n)--() } AS totalEdgeCount + :result:2 +2024-10-29 15:34:00,646 - lightrag - INFO - _find_node_degree:query: + MATCH (n:`THE COSMIC SIGNIFICANCE`) + RETURN COUNT{ (n)--() } AS totalEdgeCount + :result:0 +2024-10-29 15:34:00,819 - lightrag - INFO - _find_node_degree:query: + MATCH (n:`CHRISTMAS HOLIDAYS`) + RETURN COUNT{ (n)--() } AS totalEdgeCount + :result:0 +2024-10-29 15:34:00,988 - lightrag - INFO - _find_node_degree:query: + MATCH (n:`PONDEROUS CHAIN`) + RETURN COUNT{ (n)--() } AS totalEdgeCount + :result:0 +2024-10-29 15:34:01,161 - lightrag - INFO - _find_node_degree:query: + MATCH (n:`HUMANITY`) + RETURN COUNT{ (n)--() } AS totalEdgeCount + :result:1 +2024-10-29 15:34:01,329 - lightrag - INFO - _find_node_degree:query: + MATCH (n:`CHRISTMAS`) + RETURN COUNT{ (n)--() } AS totalEdgeCount + :result:18 +2024-10-29 15:34:01,504 - lightrag - INFO - _find_node_degree:query: + MATCH (n:`DEATH`) + RETURN COUNT{ (n)--() } AS totalEdgeCount + :result:3 +2024-10-29 15:34:01,673 - lightrag - INFO - _find_node_degree:query: + MATCH (n:`SCROOGE`) + RETURN COUNT{ (n)--() } AS totalEdgeCount + :result:100 +2024-10-29 15:34:01,844 - lightrag - INFO - _find_node_degree:query: + MATCH (n:`RUSTY KEYS, NAILS, CHAINS, HINGES`) + RETURN COUNT{ (n)--() } AS totalEdgeCount + :result:1 +2024-10-29 15:34:02,018 - lightrag - INFO - _find_node_degree:query: + MATCH (n:`THE PENANCE`) + RETURN COUNT{ (n)--() } AS totalEdgeCount + :result:0 +2024-10-29 15:34:02,192 - lightrag - INFO - _find_node_degree:query: + MATCH (n:`MAN`) + RETURN COUNT{ (n)--() } AS totalEdgeCount + :result:1 +2024-10-29 15:34:02,365 - lightrag - INFO - _find_node_degree:query: + MATCH (n:`THE SCHOOLMASTER`) + RETURN COUNT{ (n)--() } AS totalEdgeCount + :result:1 +2024-10-29 15:34:02,537 - lightrag - INFO - _find_node_degree:query: + MATCH (n:`THE GRAVE`) + RETURN COUNT{ (n)--() } AS totalEdgeCount + :result:1 +2024-10-29 15:34:02,707 - lightrag - INFO - _find_node_degree:query: + MATCH (n:`KEYHOLE`) + RETURN COUNT{ (n)--() } AS totalEdgeCount + :result:0 +2024-10-29 15:34:02,878 - lightrag - INFO - _find_node_degree:query: + MATCH (n:`SCHOOL`) + RETURN COUNT{ (n)--() } AS totalEdgeCount + :result:2 +2024-10-29 15:34:03,050 - lightrag - INFO - _find_node_degree:query: + MATCH (n:`THE CHAIN`) + RETURN COUNT{ (n)--() } AS totalEdgeCount + :result:0 +2024-10-29 15:34:03,218 - lightrag - INFO - _find_node_degree:query: + MATCH (n:`THE THREE SPIRITS`) + RETURN COUNT{ (n)--() } AS totalEdgeCount + :result:1 +2024-10-29 15:34:03,386 - lightrag - INFO - _find_node_degree:query: + MATCH (n:`THE COLD`) + RETURN COUNT{ (n)--() } AS totalEdgeCount + :result:1 +2024-10-29 15:34:03,553 - lightrag - INFO - _find_node_degree:query: + MATCH (n:`DEEDS`) + RETURN COUNT{ (n)--() } AS totalEdgeCount + :result:0 +2024-10-29 15:34:03,724 - lightrag - INFO - _find_node_degree:query: + MATCH (n:`THE BLESSED STAR`) + RETURN COUNT{ (n)--() } AS totalEdgeCount + :result:0 +2024-10-29 15:34:03,895 - lightrag - INFO - _find_node_degree:query: + MATCH (n:`THE CANDLE`) + RETURN COUNT{ (n)--() } AS totalEdgeCount + :result:1 +2024-10-29 15:34:04,069 - lightrag - INFO - _find_node_degree:query: + MATCH (n:`FROST`) + RETURN COUNT{ (n)--() } AS totalEdgeCount + :result:1 +2024-10-29 15:34:04,239 - lightrag - INFO - _find_node_degree:query: + MATCH (n:`THE TRANSPARENT WINDOW`) + RETURN COUNT{ (n)--() } AS totalEdgeCount + :result:0 +2024-10-29 15:34:04,408 - lightrag - INFO - _find_node_degree:query: + MATCH (n:`THE CANDLE-LIGHT`) + RETURN COUNT{ (n)--() } AS totalEdgeCount + :result:0 +2024-10-29 15:34:04,577 - lightrag - INFO - _find_node_degree:query: + MATCH (n:`POVERTY`) + RETURN COUNT{ (n)--() } AS totalEdgeCount + :result:1 +2024-10-29 15:34:04,748 - lightrag - INFO - _find_node_degree:query: + MATCH (n:`SUNDAY CLOTHES BOY`) + RETURN COUNT{ (n)--() } AS totalEdgeCount + :result:1 +2024-10-29 15:34:04,917 - lightrag - INFO - _find_node_degree:query: + MATCH (n:`THE SOLITARY CHILD`) + RETURN COUNT{ (n)--() } AS totalEdgeCount + :result:0 +2024-10-29 15:34:05,087 - lightrag - INFO - _find_node_degree:query: + MATCH (n:`CITY`) + RETURN COUNT{ (n)--() } AS totalEdgeCount + :result:1 +2024-10-29 15:34:05,251 - lightrag - INFO - _find_node_degree:query: + MATCH (n:`FEARFUL PLACE`) + RETURN COUNT{ (n)--() } AS totalEdgeCount + :result:0 +2024-10-29 15:34:05,422 - lightrag - INFO - _find_node_degree:query: + MATCH (n:`IRON CABLE`) + RETURN COUNT{ (n)--() } AS totalEdgeCount + :result:0 +2024-10-29 15:34:05,588 - lightrag - INFO - _find_node_degree:query: + MATCH (n:`SPIRIT`) + RETURN COUNT{ (n)--() } AS totalEdgeCount + :result:9 +2024-10-29 15:34:05,758 - lightrag - INFO - _find_node_degree:query: + MATCH (n:`THE SETTING SUN`) + RETURN COUNT{ (n)--() } AS totalEdgeCount + :result:1 +2024-10-29 15:34:05,930 - lightrag - INFO - _find_node_degree:query: + MATCH (n:`KEYS`) + RETURN COUNT{ (n)--() } AS totalEdgeCount + :result:0 +2024-10-29 15:34:06,100 - lightrag - INFO - _find_node_degree:query: + MATCH (n:`THE CLOTHES AND ITEMS`) + RETURN COUNT{ (n)--() } AS totalEdgeCount + :result:0 +2024-10-29 15:34:06,270 - lightrag - INFO - _find_node_degree:query: + MATCH (n:`AVARICE`) + RETURN COUNT{ (n)--() } AS totalEdgeCount + :result:0 +2024-10-29 15:34:06,443 - lightrag - INFO - _find_node_degree:query: + MATCH (n:`THE FIREPLACE`) + RETURN COUNT{ (n)--() } AS totalEdgeCount + :result:0 +2024-10-29 15:34:06,621 - lightrag - INFO - _find_node_degree:query: + MATCH (n:`WANT`) + RETURN COUNT{ (n)--() } AS totalEdgeCount + :result:1 +2024-10-29 15:34:06,790 - lightrag - INFO - _find_node_degree:query: + MATCH (n:`THE DAUGHTER`) + RETURN COUNT{ (n)--() } AS totalEdgeCount + :result:1 +2024-10-29 15:34:06,962 - lightrag - INFO - _find_node_degree:query: + MATCH (n:`CHRISTMAS-TIME`) + RETURN COUNT{ (n)--() } AS totalEdgeCount + :result:2 +2024-10-29 15:34:07,132 - lightrag - INFO - _find_node_degree:query: + MATCH (n:`THE BED`) + RETURN COUNT{ (n)--() } AS totalEdgeCount + :result:1 +2024-10-29 15:34:07,306 - lightrag - INFO - _find_node_degree:query: + MATCH (n:`SHADOW OF HIMSELF`) + RETURN COUNT{ (n)--() } AS totalEdgeCount + :result:1 +2024-10-29 15:34:07,477 - lightrag - INFO - _find_node_degree:query: + MATCH (n:`KIND WORD`) + RETURN COUNT{ (n)--() } AS totalEdgeCount + :result:0 +2024-10-29 15:34:07,641 - lightrag - INFO - _find_node_degree:query: + MATCH (n:`GAOL`) + RETURN COUNT{ (n)--() } AS totalEdgeCount + :result:1 +2024-10-29 15:34:07,810 - lightrag - INFO - _find_node_degree:query: + MATCH (n:`IGNORANCE`) + RETURN COUNT{ (n)--() } AS totalEdgeCount + :result:3 +2024-10-29 15:34:07,984 - lightrag - INFO - _find_node_degree:query: + MATCH (n:`CHILDREN`) + RETURN COUNT{ (n)--() } AS totalEdgeCount + :result:2 +2024-10-29 15:34:08,153 - lightrag - INFO - _find_node_degree:query: + MATCH (n:`THE ROOM BY DAYLIGHT`) + RETURN COUNT{ (n)--() } AS totalEdgeCount + :result:0 +2024-10-29 15:34:08,319 - lightrag - INFO - _find_node_degree:query: + MATCH (n:`THE BOTTLE`) + RETURN COUNT{ (n)--() } AS totalEdgeCount + :result:0 +2024-10-29 15:34:08,485 - lightrag - INFO - _find_node_degree:query: + MATCH (n:`THE FLANNEL BAG`) + RETURN COUNT{ (n)--() } AS totalEdgeCount + :result:0 +2024-10-29 15:34:08,652 - lightrag - INFO - _find_node_degree:query: + MATCH (n:`A CHRISTMAS CAROL`) + RETURN COUNT{ (n)--() } AS totalEdgeCount + :result:3 +2024-10-29 15:34:08,822 - lightrag - INFO - _find_node_degree:query: + MATCH (n:`THE YOUNG GIRL`) + RETURN COUNT{ (n)--() } AS totalEdgeCount + :result:1 +2024-10-29 15:34:08,992 - lightrag - INFO - _find_node_degree:query: + MATCH (n:`THE CITY`) + RETURN COUNT{ (n)--() } AS totalEdgeCount + :result:3 +2024-10-29 15:34:09,162 - lightrag - INFO - _find_node_degree:query: + MATCH (n:`GHOST`) + RETURN COUNT{ (n)--() } AS totalEdgeCount + :result:3 +2024-10-29 15:34:09,332 - lightrag - INFO - _find_node_degree:query: + MATCH (n:`MERCILESS CREDITOR`) + RETURN COUNT{ (n)--() } AS totalEdgeCount + :result:0 +2024-10-29 15:34:09,502 - lightrag - INFO - _find_node_degree:query: + MATCH (n:`THE SPIRITS`) + RETURN COUNT{ (n)--() } AS totalEdgeCount + :result:1 +2024-10-29 15:34:09,670 - lightrag - INFO - _find_node_degree:query: + MATCH (n:`THE MOTHER`) + RETURN COUNT{ (n)--() } AS totalEdgeCount + :result:2 +2024-10-29 15:34:09,841 - lightrag - INFO - _find_node_degree:query: + MATCH (n:`LIGHT`) + RETURN COUNT{ (n)--() } AS totalEdgeCount + :result:1 +2024-10-29 15:34:10,012 - lightrag - INFO - _find_node_degree:query: + MATCH (n:`TWO YOUNG CRATCHITS`) + RETURN COUNT{ (n)--() } AS totalEdgeCount + :result:0 +2024-10-29 15:34:10,182 - lightrag - INFO - _find_node_degree:query: + MATCH (n:`JOE`) + RETURN COUNT{ (n)--() } AS totalEdgeCount + :result:2 +2024-10-29 15:34:20,742 - lightrag - INFO - get_node:query:MATCH (n:`THE GENTLEMAN`) RETURN n:result: +2024-10-29 15:34:20,835 - lightrag - INFO - get_node:query:MATCH (n:`THE GHOST OF CHRISTMAS YET TO COME`) RETURN n:result: +2024-10-29 15:34:20,926 - lightrag - INFO - get_node:query:MATCH (n:`PORTLY GENTLEMEN`) RETURN n:result: +2024-10-29 15:34:21,013 - lightrag - INFO - get_node:query:MATCH (n:`GEESE`) RETURN n:result:"Geese are included in the festive feast, representing the bounty and celebration associated with Christmas."', 'source_id': 'chunk-843b5b2f944c7413d9ca876e2e2f151fchunk-99b0ec7f7e006561352b5d65e849611d'}> +2024-10-29 15:34:21,098 - lightrag - INFO - get_node:query:MATCH (n:`ORSON`) RETURN n:result: +2024-10-29 15:34:21,186 - lightrag - INFO - get_node:query:MATCH (n:`THE PHANTOM`) RETURN n:result: +2024-10-29 15:34:21,273 - lightrag - INFO - get_node:query:MATCH (n:`MAN`) RETURN n:result: +2024-10-29 15:34:21,359 - lightrag - INFO - get_node:query:MATCH (n:`TURKEYS`) RETURN n:result:"Turkeys represent a common food item associated with the Christmas feast, highlighting the culinary aspects of the celebration."', 'source_id': 'chunk-843b5b2f944c7413d9ca876e2e2f151fchunk-99b0ec7f7e006561352b5d65e849611d'}> +2024-10-29 15:34:21,450 - lightrag - INFO - get_node:query:MATCH (n:`THE KNOCKER`) RETURN n:result:"The Knocker is an ornate door knocker that Scrooge admires, reflecting his newfound appreciation for simple joys.""The Knocker on the door serves as a symbolic gateway to the supernatural events, being the first point of eerie interaction for Scrooge."', 'source_id': 'chunk-d9aac3484185ac66045df92214d245d5chunk-8f738cb25d60a7dab782162d9d0a25edchunk-9c43dac2fcd5b578242d907ea6f8fc7b'}> +2024-10-29 15:34:21,539 - lightrag - INFO - get_node:query:MATCH (n:`THE BUSINESSMEN`) RETURN n:result: +2024-10-29 15:34:21,627 - lightrag - INFO - get_node:query:MATCH (n:`LITTLE FAN`) RETURN n:result: +2024-10-29 15:34:21,709 - lightrag - INFO - get_node:query:MATCH (n:`THE REGISTER`) RETURN n:result: +2024-10-29 15:34:21,795 - lightrag - INFO - get_node:query:MATCH (n:`CLERK`) RETURN n:result: +2024-10-29 15:34:21,881 - lightrag - INFO - get_node:query:MATCH (n:`THE GHOST OF JACOB MARLEY`) RETURN n:result: +2024-10-29 15:34:21,971 - lightrag - INFO - get_node:query:MATCH (n:`DICK WILKINS`) RETURN n:result:"Dick Wilkins is Scrooge\'s fellow apprentice and close companion during his younger years, indicating camaraderie during their apprenticeship."', 'source_id': 'chunk-c6c248858d1b13ab7ee9ca13c1aeed6bchunk-8bc1edd983869352d14cf0886a9175a7'}> +2024-10-29 15:34:22,059 - lightrag - INFO - get_node:query:MATCH (n:`THE GHOST OF CHRISTMAS FUTURE`) RETURN n:result: +2024-10-29 15:34:22,145 - lightrag - INFO - get_node:query:MATCH (n:`HOLLY`) RETURN n:result:"Holly is a plant associated with Christmas, mentioned among other decorations that contribute to the festive atmosphere."', 'source_id': 'chunk-843b5b2f944c7413d9ca876e2e2f151fchunk-99b0ec7f7e006561352b5d65e849611d'}> +2024-10-29 15:34:22,228 - lightrag - INFO - get_node:query:MATCH (n:`CHRISTMAS EVE`) RETURN n:result:"Christmas Eve is the night before Christmas, serving as the backdrop for the lively celebrations and dances hosted by Fezziwig.""Christmas Eve is the specific time setting in the story, highlighting the contrast between the joy of the holiday and Scrooge\'s negativity."', 'source_id': 'chunk-d9aac3484185ac66045df92214d245d5chunk-8bc1edd983869352d14cf0886a9175a7chunk-74e2466de2f67fd710ef2f20c0a8d9e0'}> +2024-10-29 15:34:22,310 - lightrag - INFO - get_node:query:MATCH (n:`BOB CRATCHIT`) RETURN n:result:"Bob Cratchit is Scrooge\'s clerk, who demonstrates a sense of hope and joy, particularly highlighted during Christmas Eve.""Bob Cratchit is Scrooge\'s employee who arrives late to work after celebrating Christmas, displaying a sense of trepidation toward Scrooge.""Bob Cratchit is a character associated with Scrooge, representing the family Scrooge intends to support by sending a turkey.""Bob Cratchit is a character who appears to be the voice of moderation and kindness, attempting to maintain positivity during the family Christmas feast despite Scrooge\'s presence.""Bob Cratchit is depicted as a struggling father, representative of familial love and concern, particularly for his children, including Tiny Tim.""Bob Cratchit is the dedicated clerk of Ebenezer Scrooge, representing the struggles of the working class and the importance of family in A Christmas Carol.""Bob Cratchit is the father of Tiny Tim and the head of the Cratchit family, who expresses joy and gratitude during Christmas dinner.""Bob Cratchit is the father of Tiny Tim, characterized by his kindness and emotional depth, especially in relation to his family\'s struggles.""Bob Cratchit is the father of the Cratchit family, characterized by his warmth and dedication to his family, particularly in caring for Tiny Tim."', 'source_id': 'chunk-83ac129dc9b56f84c46760d153d68e93chunk-503f0bfa5453467c7c61d160a3540ecachunk-90b95db5c53e4364a6bee36b7aa4d70fchunk-b0f459f5af1c3a5e0b92cbe4ee48b77bchunk-1d4b58de5429cd1261370c231c8673e8chunk-d9aac3484185ac66045df92214d245d5chunk-94bea83e7153fc2064aa382b494936a1chunk-7e2e7ebcc19a53b399dc03aded4743e7chunk-9e3921da66da5d761ab73cd849af6c43chunk-19d72c57ae3408758b18d2568e86dc6b'}> +2024-10-29 15:34:22,397 - lightrag - INFO - get_node:query:MATCH (n:`HOSPITAL`) RETURN n:result: +2024-10-29 15:34:22,484 - lightrag - INFO - get_node:query:MATCH (n:`THE GHOST OF CHRISTMAS PAST`) RETURN n:result: +2024-10-29 15:34:22,570 - lightrag - INFO - get_node:query:MATCH (n:`ROBIN CRUSOE`) RETURN n:result: +2024-10-29 15:34:22,657 - lightrag - INFO - get_node:query:MATCH (n:`ALI BABA`) RETURN n:result: +2024-10-29 15:34:22,743 - lightrag - INFO - get_node:query:MATCH (n:`MISERY'S REFUGE`) RETURN n:result: +2024-10-29 15:34:22,830 - lightrag - INFO - get_node:query:MATCH (n:`TOPPER`) RETURN n:result:"Topper is a character who participates in the dinner and seems to have an interest in one of Scrooge\'s niece\'s sisters.""Topper is a guest at the Christmas party, representing the jovial and festive spirit of the gathering with Fred and Scrooge."', 'source_id': 'chunk-94bea83e7153fc2064aa382b494936a1chunk-773d0df1dd25c356f7b771d780583e09chunk-43c9bee23adfa77aa9dedd22401bba7d'}> +2024-10-29 15:34:22,916 - lightrag - INFO - get_node:query:MATCH (n:`THE GRATE`) RETURN n:result: +2024-10-29 15:34:23,003 - lightrag - INFO - get_node:query:MATCH (n:`SCHOOL`) RETURN n:result: +2024-10-29 15:34:23,090 - lightrag - INFO - get_node:query:MATCH (n:`MULTITUDES`) RETURN n:result: +2024-10-29 15:34:23,179 - lightrag - INFO - get_node:query:MATCH (n:`THE MAIN STREET`) RETURN n:result: +2024-10-29 15:34:23,264 - lightrag - INFO - get_node:query:MATCH (n:`THE SCHOOLMASTER`) RETURN n:result: +2024-10-29 15:34:23,347 - lightrag - INFO - get_node:query:MATCH (n:`MARLEY`) RETURN n:result:"Marley is Scrooge\'s deceased partner whose death is emphasized, and who impacts Scrooge\'s story through memories and reflections.""Marley is a character who, although only mentioned, has had a significant influence on Scrooge\'s life and perspective, representing his past connections.""Marley is a deceased character whose ghost appears to Scrooge, representing regret and the consequences of a life led without compassion."', 'source_id': 'chunk-d9aac3484185ac66045df92214d245d5chunk-843b5b2f944c7413d9ca876e2e2f151fchunk-89777b838d5447c7bd1ec11282c4ee89chunk-9c43dac2fcd5b578242d907ea6f8fc7b'}> +2024-10-29 15:34:23,435 - lightrag - INFO - get_node:query:MATCH (n:`MRS. CRATCHIT`) RETURN n:result:"Mrs. Cratchit is Bob Cratchit\'s supportive wife, who strives to provide for her family despite their financial struggles and embodies resilience.""Mrs. Cratchit is Bob\'s wife who prepares the Christmas pudding, showcasing her pride and care in family traditions.""Mrs. Cratchit is Bob\'s wife, a supportive mother who manages the household while showing concern for her children\'s well-being.""Mrs. Cratchit is Bob\'s wife, portrayed as making an effort to prepare a festive atmosphere despite their financial struggles.""Mrs. Cratchit is a character who shows affection towards Bob, enhancing the family dynamic.""Mrs. Cratchit is the mother in the family who prepares the meal and shows warmth and attentiveness towards her family members during their Christmas celebration."', 'source_id': 'chunk-503f0bfa5453467c7c61d160a3540ecachunk-b0f459f5af1c3a5e0b92cbe4ee48b77bchunk-91572b3cd42786ba4cb2f180ca25cbf4chunk-1d4b58de5429cd1261370c231c8673e8chunk-7e2e7ebcc19a53b399dc03aded4743e7chunk-9e3921da66da5d761ab73cd849af6c43chunk-19d72c57ae3408758b18d2568e86dc6b'}> +2024-10-29 15:34:23,522 - lightrag - INFO - get_node:query:MATCH (n:`GAOL`) RETURN n:result: +2024-10-29 15:34:23,610 - lightrag - INFO - get_node:query:MATCH (n:`THE DECEASED`) RETURN n:result: +2024-10-29 15:34:23,697 - lightrag - INFO - get_node:query:MATCH (n:`CHRISTMAS-TIME`) RETURN n:result:"Christmas-time represents the festive season, a recurring theme that evokes memories and emotions in Scrooge’s reflections.""Christmas-time serves as a backdrop for the narrative, emphasizing themes of reflection, mortality, and social interactions."', 'source_id': 'chunk-f1a4fbcf1ed86864b9bfd5e8dba4c683chunk-c6c248858d1b13ab7ee9ca13c1aeed6bchunk-5dac41b3f9eeaf794f0147400b1718cd'}> +2024-10-29 15:34:23,788 - lightrag - INFO - get_node:query:MATCH (n:`DICK`) RETURN n:result: +2024-10-29 15:34:23,876 - lightrag - INFO - get_node:query:MATCH (n:`THE CLOCK`) RETURN n:result:"The Clock is mentioned as malfunctioning, which symbolizes the confusion and distortion of time that Scrooge experiences during his nighttime visitations."', 'source_id': 'chunk-c7b10789a9cb0af6c553730b29bd9034chunk-cb661c37436355ccec2769b1d0350c5f'}> +2024-10-29 15:34:23,965 - lightrag - INFO - get_node:query:MATCH (n:`FROST`) RETURN n:result: +2024-10-29 15:34:24,050 - lightrag - INFO - get_node:query:MATCH (n:`SCROOGE'S NIECE`) RETURN n:result:"Scrooge\'s niece is depicted as a joyful participant in the evening\'s festivities, engaging in games and music."', 'source_id': 'chunk-773d0df1dd25c356f7b771d780583e09chunk-43c9bee23adfa77aa9dedd22401bba7d'}> +2024-10-29 15:34:24,136 - lightrag - INFO - get_node:query:MATCH (n:`MR. MARLEY`) RETURN n:result: +2024-10-29 15:34:24,223 - lightrag - INFO - get_node:query:MATCH (n:`MISTLETOE`) RETURN n:result: +2024-10-29 15:34:24,310 - lightrag - INFO - get_node:query:MATCH (n:`THE FATHER`) RETURN n:result: +2024-10-29 15:34:24,396 - lightrag - INFO - get_node:query:MATCH (n:`BAD REPUTE`) RETURN n:result: +2024-10-29 15:34:24,488 - lightrag - INFO - get_node:query:MATCH (n:`FRENCH PLUMS`) RETURN n:result: +2024-10-29 15:34:24,575 - lightrag - INFO - get_node:query:MATCH (n:`PROJECT GUTENBERG`) RETURN n:result:"Project Gutenberg is a digital library providing free access to a wide range of eBooks, primarily in the United States and other regions, under specific licensing terms.""Project Gutenberg is an organization dedicated to the free distribution of electronic works and the preservation of the cultural heritage by providing access to public domain literature."', 'source_id': 'chunk-194cd9680f4967f48bea89678f7ece21chunk-af4ae173c561e4594c5aea96198cce9dchunk-9e3921da66da5d761ab73cd849af6c43'}> +2024-10-29 15:34:24,660 - lightrag - INFO - get_node:query:MATCH (n:`THE WOMAN`) RETURN n:result:"The Woman is a character involved in the dialogue about the deceased\'s belongings, showing a carefree attitude towards their former owner.""The Woman is a character who enters the shop with a heavy bundle and demonstrates a bold and defiant demeanor, eager to take part in the conversation about the deceased\'s belongings."', 'source_id': 'chunk-60fc063c79fc0d4acc91a57e79de04dcchunk-89777b838d5447c7bd1ec11282c4ee89chunk-e1f29eeadc1d8ab46dc8a0bbd3c56b64'}> +2024-10-29 15:34:24,746 - lightrag - INFO - get_node:query:MATCH (n:`CHRISTMAS DAY`) RETURN n:result:"Christmas Day is a significant holiday that marks the time of Scrooge\'s revelation and intent to change.""Christmas Day is celebrated by the Cratchit family with a communal meal and expressions of joy and togetherness, highlighting the importance of family and gratitude.""Christmas Day serves as the central event around which the family gathers and reflects on their feelings towards Scrooge."', 'source_id': 'chunk-90b95db5c53e4364a6bee36b7aa4d70fchunk-19d72c57ae3408758b18d2568e86dc6bchunk-7e2e7ebcc19a53b399dc03aded4743e7chunk-b0f459f5af1c3a5e0b92cbe4ee48b77b'}> +2024-10-29 15:34:24,831 - lightrag - INFO - get_node:query:MATCH (n:`THE BLANKETS`) RETURN n:result: +2024-10-29 15:34:24,916 - lightrag - INFO - get_node:query:MATCH (n:`THE CASK`) RETURN n:result: +2024-10-29 15:34:25,005 - lightrag - INFO - get_node:query:MATCH (n:`MARLEY'S GHOST`) RETURN n:result:"Marley\'s Ghost is a spectral visitation that deeply troubles Scrooge and causes him great perplexity, leading him to question the reality of his experiences.""Marley\'s Ghost represents the supernatural apparition of Marley, who has been dead for seven years and symbolizes regret and warning to Scrooge."', 'source_id': 'chunk-c7b10789a9cb0af6c553730b29bd9034chunk-9c43dac2fcd5b578242d907ea6f8fc7bchunk-cb661c37436355ccec2769b1d0350c5f'}> +2024-10-29 15:34:25,092 - lightrag - INFO - get_node:query:MATCH (n:`THE COUNTING-HOUSE`) RETURN n:result:"The Counting-House is where Scrooge works and is characterized by its cold and unwelcoming environment."', 'source_id': 'chunk-d9aac3484185ac66045df92214d245d5chunk-74e2466de2f67fd710ef2f20c0a8d9e0'}> +2024-10-29 15:34:25,184 - lightrag - INFO - get_node:query:MATCH (n:`LONDON`) RETURN n:result:"London serves as the setting where the events take place, adding a cultural backdrop to the Christmas gathering."', 'source_id': 'chunk-d9aac3484185ac66045df92214d245d5chunk-43c9bee23adfa77aa9dedd22401bba7d'}> +2024-10-29 15:34:25,273 - lightrag - INFO - get_node:query:MATCH (n:`THE CITY`) RETURN n:result:"The City represents the bustling urban environment where Scrooge reflects on his past, filled with activity and shadowy figures.""The City, from which Scrooge is transported, represents his past life and is contrasted with the open country road that signifies his memories."', 'source_id': 'chunk-bb21d58d36c6306fd8810ddd51c4a971chunk-c6c248858d1b13ab7ee9ca13c1aeed6bchunk-74e2466de2f67fd710ef2f20c0a8d9e0'}> +2024-10-29 15:34:25,362 - lightrag - INFO - get_node:query:MATCH (n:`THE VISITOR`) RETURN n:result: +2024-10-29 15:34:25,452 - lightrag - INFO - get_node:query:MATCH (n:`THE LAMPLIGHTER`) RETURN n:result: +2024-10-29 15:34:25,538 - lightrag - INFO - get_node:query:MATCH (n:`SCROOGE'S NEPHEW`) RETURN n:result:"Scrooge\'s Nephew is characterized by his contagious laughter and good humor, contrasting with his uncle\'s miserliness.""Scrooge\'s Nephew is portrayed as optimistic about Christmas, emphasizing its positive qualities despite Scrooge\'s negativity.""Scrooge\'s nephew is a character present at the gathering who actively participates in the games and engages with his family."', 'source_id': 'chunk-43c9bee23adfa77aa9dedd22401bba7dchunk-773d0df1dd25c356f7b771d780583e09chunk-74e2466de2f67fd710ef2f20c0a8d9e0chunk-5dac41b3f9eeaf794f0147400b1718cd'}> +2024-10-29 15:34:25,623 - lightrag - INFO - get_node:query:MATCH (n:`THE COLD`) RETURN n:result: +2024-10-29 15:34:25,709 - lightrag - INFO - get_node:query:MATCH (n:`IGNORANCE`) RETURN n:result:"Ignorance is personified as a boy that symbolizes the dangers of ignoring social issues and the consequences of a lack of awareness."', 'source_id': 'chunk-02baee20cc9463dbe08170a8e1043e32chunk-e7637ff18c5ded77a68cce0a87883fad'}> +2024-10-29 15:34:25,794 - lightrag - INFO - get_node:query:MATCH (n:`BOB`) RETURN n:result:"Bob is referenced humorously by Scrooge in the context of a joke regarding a large turkey."', 'source_id': 'chunk-8f738cb25d60a7dab782162d9d0a25edchunk-91572b3cd42786ba4cb2f180ca25cbf4'}> +2024-10-29 15:34:25,891 - lightrag - INFO - get_node:query:MATCH (n:`ALMSHOUSE`) RETURN n:result: +2024-10-29 15:34:25,981 - lightrag - INFO - get_node:query:MATCH (n:`TWELFTH-NIGHT PARTY`) RETURN n:result: +2024-10-29 15:34:26,077 - lightrag - INFO - get_node:query:MATCH (n:`CHESTNUTS`) RETURN n:result: +2024-10-29 15:34:26,163 - lightrag - INFO - get_node:query:MATCH (n:`THE SPIRITS`) RETURN n:result:"The Spirits represent the past, present, and future in Scrooge\'s life, guiding him toward redemption and self-reflection."', 'source_id': 'chunk-90b95db5c53e4364a6bee36b7aa4d70fchunk-cb661c37436355ccec2769b1d0350c5f'}> +2024-10-29 15:34:26,250 - lightrag - INFO - get_node:query:MATCH (n:`GHOST OF CHRISTMAS YET TO COME`) RETURN n:result:"The Ghost of Christmas Yet to Come is an event within the story that signifies Scrooge\'s confrontation with the future consequences of his actions."', 'source_id': 'chunk-9e3921da66da5d761ab73cd849af6c43chunk-02baee20cc9463dbe08170a8e1043e32'}> +2024-10-29 15:34:26,344 - lightrag - INFO - get_node:query:MATCH (n:`CHRISTMAS`) RETURN n:result:"Christmas is a festive occasion that has led to a joyful transformation in Scrooge\'s character and actions.""Christmas is a festive time celebrated by the Cratchit family, symbolizing joy, family togetherness, and generosity.""Christmas is a significant holiday that serves as the backdrop for Scrooge\'s transformation and the events that unfold during the narrative.""Christmas is a significant holiday that triggers Scrooge\'s memories and reflections on joy, loneliness, and his past.""Christmas is central to the text, symbolizing generosity, charity, and warmth that Scrooge rejects.""Christmas is depicted as a festive season when charity and social duty are emphasized, contrasting with Scrooge\'s values.""Christmas is depicted as a time associated with joy and abundance, contrasting with Scrooge\'s initial views.""Christmas is depicted as a time of joy and communal spirit, marked by people\'s activities and interactions in the streets.""Christmas is depicted as a time of joy and generosity, contrasting sharply with Scrooge\'s past behavior and current solitude.""Christmas is portrayed as a festive time that Scrooge dismisses, emphasizing the contrast between joy and his miserable attitude.""Christmas is portrayed as a time of joy, reflection, and connection, emphasizing the positive impact of the holiday spirit on individuals and communities.""Christmas is presented as a time for merriment and social gatherings, which Scrooge\'s nephew advocates for despite his uncle\'s opposition.""Christmas is the central holiday during which the events unfold, leading to significant character transformations and themes of generosity.""Christmas is the season during which festive activities and celebrations are occurring, including dances and gatherings.""Christmas represents a time of reflection and change for Scrooge, emphasizing themes of redemption.""Christmas serves as a thematic backdrop for the story, symbolizing redemption, generosity, and the spirit of giving."', 'source_id': 'chunk-91614df5cb74cbe5e109a338a82041e9chunk-503f0bfa5453467c7c61d160a3540ecachunk-773d0df1dd25c356f7b771d780583e09chunk-8f738cb25d60a7dab782162d9d0a25edchunk-e7637ff18c5ded77a68cce0a87883fadchunk-8590d9263cd2cd4fa583c432fc54e6c3chunk-54bdd22db1f84a965b5f4c06c9216d8dchunk-02baee20cc9463dbe08170a8e1043e32chunk-90d5764e301321c087f5a8f78b73a145chunk-91572b3cd42786ba4cb2f180ca25cbf4chunk-1d4b58de5429cd1261370c231c8673e8chunk-da2472b4ef2a535b62908f14d0fb0ca9chunk-94bea83e7153fc2064aa382b494936a1chunk-89777b838d5447c7bd1ec11282c4ee89chunk-99b0ec7f7e006561352b5d65e849611dchunk-74e2466de2f67fd710ef2f20c0a8d9e0chunk-5dac41b3f9eeaf794f0147400b1718cd'}> +2024-10-29 15:34:26,432 - lightrag - INFO - get_node:query:MATCH (n:`THE BELL`) RETURN n:result:"The Bell is described as a disused bell that starts to swing and ring during the haunting, signifying the onset of supernatural occurrences."', 'source_id': 'chunk-9c43dac2fcd5b578242d907ea6f8fc7bchunk-cb661c37436355ccec2769b1d0350c5f'}> +2024-10-29 15:34:26,520 - lightrag - INFO - get_node:query:MATCH (n:`GHOST OF CHRISTMAS PAST`) RETURN n:result:"The Ghost of Christmas Past is a supernatural entity that aids Scrooge in reflecting on his past experiences and emotions."', 'source_id': 'chunk-bb21d58d36c6306fd8810ddd51c4a971chunk-9e3921da66da5d761ab73cd849af6c43'}> +2024-10-29 15:34:26,609 - lightrag - INFO - get_node:query:MATCH (n:`MASTER SCROOGE`) RETURN n:result: +2024-10-29 15:34:26,694 - lightrag - INFO - get_node:query:MATCH (n:`THE YOUNG GIRL`) RETURN n:result: +2024-10-29 15:34:26,783 - lightrag - INFO - get_node:query:MATCH (n:`WEALTH`) RETURN n:result: +2024-10-29 15:34:26,872 - lightrag - INFO - get_node:query:MATCH (n:`THE WAREHOUSE`) RETURN n:result:"The Warehouse is the setting for Fezziwig\'s celebrations, transformed into a ballroom for the festivities."', 'source_id': 'chunk-c6c248858d1b13ab7ee9ca13c1aeed6bchunk-8bc1edd983869352d14cf0886a9175a7'}> +2024-10-29 15:34:26,958 - lightrag - INFO - get_node:query:MATCH (n:`CHRISTMAS CAROL`) RETURN n:result:"The Christmas Carol is a musical tradition performed during the Christmas season, symbolizing goodwill and festive spirit."', 'source_id': 'chunk-90d5764e301321c087f5a8f78b73a145chunk-8590d9263cd2cd4fa583c432fc54e6c3'}> +2024-10-29 15:34:27,046 - lightrag - INFO - get_node:query:MATCH (n:`THE LOW-BROWED SHOP`) RETURN n:result: +2024-10-29 15:34:27,131 - lightrag - INFO - get_node:query:MATCH (n:`GHOST OF CHRISTMAS PRESENT`) RETURN n:result:"The Ghost of Christmas Present is a spirit that reveals to Scrooge the joys and struggles of the present Christmas season, emphasizing generosity and compassion."', 'source_id': 'chunk-843b5b2f944c7413d9ca876e2e2f151fchunk-9e3921da66da5d761ab73cd849af6c43'}> +2024-10-29 15:34:27,217 - lightrag - INFO - get_node:query:MATCH (n:`THE DRESSING-GOWN`) RETURN n:result: +2024-10-29 15:34:27,303 - lightrag - INFO - get_node:query:MATCH (n:`CITY`) RETURN n:result:"The City represents the urban setting where Scrooge witnesses the indifference of its inhabitants regarding his death.""The City represents the urban setting where Scrooge\'s transformation takes place, symbolizing the broader society impacted by his changes."', 'source_id': 'chunk-843b5b2f944c7413d9ca876e2e2f151fchunk-94bea83e7153fc2064aa382b494936a1chunk-02baee20cc9463dbe08170a8e1043e32'}> +2024-10-29 15:34:27,392 - lightrag - INFO - get_node:query:MATCH (n:`THE FROZEN MOOR`) RETURN n:result: +2024-10-29 15:34:27,483 - lightrag - INFO - get_node:query:MATCH (n:`THE POULTERER'S`) RETURN n:result: +2024-10-29 15:34:27,574 - lightrag - INFO - get_node:query:MATCH (n:`THE GHOST OF MARLEY`) RETURN n:result: +2024-10-29 15:34:27,662 - lightrag - INFO - get_node:query:MATCH (n:`SPIRIT`) RETURN n:result:"The Spirit embodies the lessons of compassion and social responsibility, guiding Scrooge through his reflections and realizations.""The Spirit is the manifestation of Scrooge\'s past that guides him through his memories, representing his former self and the influence of time.""The Spirit represents a ghostly entity, guiding Scrooge through visions of potential future events and urging him to acknowledge societal issues.""The Spirit represents a supernatural entity guiding Scrooge through his reflections on life, death, and human emotions, prompting self-awareness.""The Spirit represents the embodiment of the Christmas present, personifying the themes of generosity and merriment."', 'source_id': 'chunk-bb21d58d36c6306fd8810ddd51c4a971chunk-83ac129dc9b56f84c46760d153d68e93chunk-e7637ff18c5ded77a68cce0a87883fadchunk-843b5b2f944c7413d9ca876e2e2f151fchunk-1aa50206d02ed89418f65f97c6441d1cchunk-02baee20cc9463dbe08170a8e1043e32'}> +2024-10-29 15:34:27,749 - lightrag - INFO - get_node:query:MATCH (n:`THE CHURCH`) RETURN n:result: +2024-10-29 15:34:27,834 - lightrag - INFO - get_node:query:MATCH (n:`FRIDAY`) RETURN n:result: +2024-10-29 15:34:27,920 - lightrag - INFO - get_node:query:MATCH (n:`THE PRESENT`) RETURN n:result: +2024-10-29 15:34:28,008 - lightrag - INFO - get_node:query:MATCH (n:`CAMDEN TOWN`) RETURN n:result:"Camden Town is a location where Bob Cratchit runs home to celebrate Christmas Eve, representing a more joyful and lively setting."', 'source_id': 'chunk-d9aac3484185ac66045df92214d245d5chunk-8f738cb25d60a7dab782162d9d0a25ed'}> +2024-10-29 15:34:28,096 - lightrag - INFO - get_node:query:MATCH (n:`APPLES`) RETURN n:result: +2024-10-29 15:34:28,185 - lightrag - INFO - get_node:query:MATCH (n:`THE PEOPLE`) RETURN n:result: +2024-10-29 15:34:28,277 - lightrag - INFO - get_node:query:MATCH (n:`MANKIND`) RETURN n:result: +2024-10-29 15:34:28,366 - lightrag - INFO - get_node:query:MATCH (n:`THE OBSCURE PART OF TOWN`) RETURN n:result: +2024-10-29 15:34:28,455 - lightrag - INFO - get_node:query:MATCH (n:`HUMANITY`) RETURN n:result: +2024-10-29 15:34:28,543 - lightrag - INFO - get_node:query:MATCH (n:`THE GROCERS`) RETURN n:result: +2024-10-29 15:34:28,632 - lightrag - INFO - get_node:query:MATCH (n:`THE GHOST OF CHRISTMAS PRESENT`) RETURN n:result:"The Ghost of Christmas Present is a supernatural being that shows Scrooge the true spirit of Christmas, including kindness towards the poor.""The Ghost of Christmas Present signifies abundance and the spirit of joy that Scrooge is encouraged to embrace."', 'source_id': 'chunk-90b95db5c53e4364a6bee36b7aa4d70fchunk-43c9bee23adfa77aa9dedd22401bba7dchunk-b0f459f5af1c3a5e0b92cbe4ee48b77b'}> +2024-10-29 15:34:28,720 - lightrag - INFO - get_node:query:MATCH (n:`JACOB MARLEY`) RETURN n:result:"Jacob Marley is Scrooge\'s deceased business partner, who appears as a ghost to warn Scrooge of his impending fate and the need for change.""Jacob Marley is a deceased character who symbolizes the consequences of a life led without compassion, influencing Scrooge\'s redemption.""Jacob Marley is a ghost who appears to Scrooge, having been his business partner in life, and is now bound by chains that signify his earthly ties and regrets.""Jacob Marley is the ghost of Scrooge\'s former business partner, who seeks to impart a lesson about the consequences of a life lived without compassion or connection to humanity.""Jacob Marley is the ghost who represents Scrooge\'s past and serves as a catalyst for his change."', 'source_id': 'chunk-90b95db5c53e4364a6bee36b7aa4d70fchunk-1aa50206d02ed89418f65f97c6441d1cchunk-02baee20cc9463dbe08170a8e1043e32chunk-91572b3cd42786ba4cb2f180ca25cbf4chunk-da2472b4ef2a535b62908f14d0fb0ca9chunk-359187e7571bda4b0b08b2e0b6581e52'}> +2024-10-29 15:34:28,807 - lightrag - INFO - get_node:query:MATCH (n:`THE SITTING ROOM`) RETURN n:result: +2024-10-29 15:34:28,892 - lightrag - INFO - get_node:query:MATCH (n:`DARKNESS`) RETURN n:result: +2024-10-29 15:34:28,983 - lightrag - INFO - get_node:query:MATCH (n:`MARKET-TOWN`) RETURN n:result: +2024-10-29 15:34:29,076 - lightrag - INFO - get_node:query:MATCH (n:`CHILDREN`) RETURN n:result:"The Children represent the joyful, carefree aspects of Scrooge\'s past, embodying happiness and the innocence of youth that he has long forgotten."', 'source_id': 'chunk-bb21d58d36c6306fd8810ddd51c4a971chunk-e7637ff18c5ded77a68cce0a87883fad'}> +2024-10-29 15:34:29,162 - lightrag - INFO - get_node:query:MATCH (n:`FOG`) RETURN n:result:"Fog is a weather phenomenon that adds to the bleak atmosphere, reflecting the obscurity and confusion in Scrooge\'s life."', 'source_id': 'chunk-d9aac3484185ac66045df92214d245d5chunk-74e2466de2f67fd710ef2f20c0a8d9e0'}> +2024-10-29 15:34:29,251 - lightrag - INFO - get_node:query:MATCH (n:`THE FUNERAL`) RETURN n:result: +2024-10-29 15:34:29,339 - lightrag - INFO - get_node:query:MATCH (n:`SHADOW OF HIMSELF`) RETURN n:result: +2024-10-29 15:34:29,432 - lightrag - INFO - get_node:query:MATCH (n:`SCROOGE`) RETURN n:result:chunk-b2f98bc7abb0c67d4c86055c7fd72218chunk-91614df5cb74cbe5e109a338a82041e9chunk-8f738cb25d60a7dab782162d9d0a25edchunk-e7637ff18c5ded77a68cce0a87883fadchunk-d9aac3484185ac66045df92214d245d5chunk-90b95db5c53e4364a6bee36b7aa4d70fchunk-89777b838d5447c7bd1ec11282c4ee89chunk-c6c248858d1b13ab7ee9ca13c1aeed6bchunk-5dac41b3f9eeaf794f0147400b1718cdchunk-773d0df1dd25c356f7b771d780583e09chunk-843b5b2f944c7413d9ca876e2e2f151fchunk-f1a4fbcf1ed86864b9bfd5e8dba4c683chunk-359187e7571bda4b0b08b2e0b6581e52chunk-503f0bfa5453467c7c61d160a3540ecachunk-9c43dac2fcd5b578242d907ea6f8fc7bchunk-b0f459f5af1c3a5e0b92cbe4ee48b77bchunk-1aa50206d02ed89418f65f97c6441d1cchunk-54bdd22db1f84a965b5f4c06c9216d8dchunk-cb661c37436355ccec2769b1d0350c5fchunk-90d5764e301321c087f5a8f78b73a145chunk-91572b3cd42786ba4cb2f180ca25cbf4chunk-da2472b4ef2a535b62908f14d0fb0ca9chunk-99b0ec7f7e006561352b5d65e849611dchunk-43c9bee23adfa77aa9dedd22401bba7dchunk-83ac129dc9b56f84c46760d153d68e93chunk-e1f29eeadc1d8ab46dc8a0bbd3c56b64chunk-8590d9263cd2cd4fa583c432fc54e6c3chunk-02baee20cc9463dbe08170a8e1043e32chunk-94bea83e7153fc2064aa382b494936a1chunk-74e2466de2f67fd710ef2f20c0a8d9e0chunk-19d72c57ae3408758b18d2568e86dc6b'}> +2024-10-29 15:34:29,521 - lightrag - INFO - get_node:query:MATCH (n:`TINY TIM`) RETURN n:result:"Tiny Tim is a member of the Cratchit family, who represents the innocence and impact of Scrooge\'s generosity.""Tiny Tim is a symbol of innocence and vulnerability within the Cratchit family, evoking compassion and highlighting the harsh realities of illness and poverty.""Tiny Tim is a symbolic character representing innocence and the impact of loss on family cohesion.""Tiny Tim is a young boy in the Cratchit family, characterized by his spirit and resilience despite being a cripple, symbolizing hope and kindness during Christmas.""Tiny Tim is a young boy in the Cratchit family, who is portrayed as frail yet joyous and embodies the spirit of Christmas.""Tiny Tim is a young child in the Cratchit family, whose health and well-being are of great concern to his family, and he is remembered fondly.""Tiny Tim is depicted as a vulnerable child who participates in the Christmas toast but seems indifferent to it, symbolizing the family\'s struggles.""Tiny Tim, the son of Bob Cratchit, is a sickly child whose positive outlook on life symbolizes hope and compassion in A Christmas Carol."', 'source_id': 'chunk-83ac129dc9b56f84c46760d153d68e93chunk-503f0bfa5453467c7c61d160a3540ecachunk-91572b3cd42786ba4cb2f180ca25cbf4chunk-1d4b58de5429cd1261370c231c8673e8chunk-90b95db5c53e4364a6bee36b7aa4d70fchunk-94bea83e7153fc2064aa382b494936a1chunk-7e2e7ebcc19a53b399dc03aded4743e7chunk-9e3921da66da5d761ab73cd849af6c43chunk-19d72c57ae3408758b18d2568e86dc6b'}> +2024-10-29 15:34:29,612 - lightrag - INFO - get_node:query:MATCH (n:`ARTHUR RACKHAM`) RETURN n:result: +2024-10-29 15:34:29,701 - lightrag - INFO - get_node:query:MATCH (n:`THE GRAVE`) RETURN n:result: +2024-10-29 15:34:29,785 - lightrag - INFO - get_node:query:MATCH (n:`THE BED`) RETURN n:result: +2024-10-29 15:34:29,872 - lightrag - INFO - get_node:query:MATCH (n:`FRED`) RETURN n:result:"Fred is Scrooge\'s nephew who expresses admiration for his uncle and proposes a toast in his honor during a Christmas gathering.""Fred is Scrooge\'s nephew, mentioned in the context of Scrooge\'s visit to his house.""Fred is Scrooge\'s nephew, representing the warmth and joy of family that Scrooge initially rejects.""Fred is Scrooge\'s niece by marriage who expresses surprise and warmth at Scrooge\'s unexpected visit for dinner."', 'source_id': 'chunk-8f738cb25d60a7dab782162d9d0a25edchunk-e7637ff18c5ded77a68cce0a87883fadchunk-94bea83e7153fc2064aa382b494936a1chunk-89777b838d5447c7bd1ec11282c4ee89chunk-9e3921da66da5d761ab73cd849af6c43'}> +2024-10-29 15:34:29,959 - lightrag - INFO - get_node:query:MATCH (n:`THE TURKEY`) RETURN n:result: +2024-10-29 15:34:30,046 - lightrag - INFO - get_node:query:MATCH (n:`THE MANSION HOUSE`) RETURN n:result: +2024-10-29 15:34:30,132 - lightrag - INFO - get_node:query:MATCH (n:`VALENTINE`) RETURN n:result: +2024-10-29 15:34:30,217 - lightrag - INFO - get_node:query:MATCH (n:`CRATCHIT FAMILY`) RETURN n:result:"The Cratchit Family is portrayed as a close-knit group who, despite their hardships, find joy and gratitude during the Christmas gathering.""The Cratchit Family is portrayed as a loving unit celebrating Christmas together, with various members actively participating in the festivities.""The Cratchit family represents a unit bound by love and resilience in the face of adversity, dealing with emotional and financial struggles."', 'source_id': 'chunk-83ac129dc9b56f84c46760d153d68e93chunk-503f0bfa5453467c7c61d160a3540ecachunk-7e2e7ebcc19a53b399dc03aded4743e7chunk-19d72c57ae3408758b18d2568e86dc6b'}> +2024-10-29 15:34:30,301 - lightrag - INFO - get_node:query:MATCH (n:`BUSINESSMEN`) RETURN n:result: +2024-10-29 15:34:30,388 - lightrag - INFO - get_node:query:MATCH (n:`THE MOTHER`) RETURN n:result:"The Mother is a character associated with the family dynamics during the Christmas scene, though her actions are not explicitly detailed.""The Mother is depicted as a comely matron, who enjoys the laughter and chaos with her children, showing warmth and family value."', 'source_id': 'chunk-da2472b4ef2a535b62908f14d0fb0ca9chunk-83ac129dc9b56f84c46760d153d68e93chunk-54bdd22db1f84a965b5f4c06c9216d8d'}> +2024-10-29 15:34:30,477 - lightrag - INFO - get_node:query:MATCH (n:`THE THREE SPIRITS`) RETURN n:result: +2024-10-29 15:34:30,565 - lightrag - INFO - get_node:query:MATCH (n:`FEZZIWIG`) RETURN n:result:"Fezziwig is a figure representing a cheerful and jovial employer who organizes lively Christmas festivities for his employees.""Fezziwig is a jovial figure from Scrooge\'s past, known for his kind-heartedness and as a former employer who embodies the spirit of Christmas.""Fezziwig is depicted as a joyful character who dances with his wife and embodies the spirit of Christmas."', 'source_id': 'chunk-b2f98bc7abb0c67d4c86055c7fd72218chunk-89777b838d5447c7bd1ec11282c4ee89chunk-c6c248858d1b13ab7ee9ca13c1aeed6bchunk-8bc1edd983869352d14cf0886a9175a7'}> +2024-10-29 15:34:30,654 - lightrag - INFO - get_node:query:MATCH (n:`THE HOUSE`) RETURN n:result:"The House is the setting where Scrooge experiences the haunting, with a description of its features contributing to the eerie atmosphere."', 'source_id': 'chunk-da2472b4ef2a535b62908f14d0fb0ca9chunk-9c43dac2fcd5b578242d907ea6f8fc7b'}> +2024-10-29 15:34:30,743 - lightrag - INFO - get_node:query:MATCH (n:`STREET`) RETURN n:result: +2024-10-29 15:34:30,828 - lightrag - INFO - get_node:query:MATCH (n:`THE PAST`) RETURN n:result: +2024-10-29 15:34:30,913 - lightrag - INFO - get_node:query:MATCH (n:`CHARLES DICKENS`) RETURN n:result: +2024-10-29 15:34:31,002 - lightrag - INFO - get_node:query:MATCH (n:`THE GIRL`) RETURN n:result:"The Girl is referenced in relation to The Boy, highlighting the dynamics of the young attendees at the Fezziwig\'s celebrations."', 'source_id': 'chunk-8f738cb25d60a7dab782162d9d0a25edchunk-8bc1edd983869352d14cf0886a9175a7'}> +2024-10-29 15:34:31,091 - lightrag - INFO - get_node:query:MATCH (n:`GREAT BRITAIN`) RETURN n:result: +2024-10-29 15:34:31,180 - lightrag - INFO - get_node:query:MATCH (n:`THE DAUGHTER`) RETURN n:result: +2024-10-29 15:34:31,268 - lightrag - INFO - get_node:query:MATCH (n:`BELLE`) RETURN n:result: +2024-10-29 15:34:31,354 - lightrag - INFO - get_node:query:MATCH (n:`DEATH`) RETURN n:result:"Death is described as a powerful force in the narrative, represented through the imagery of a cold, rigid presence and the contemplation of mortality.""Death refers to the passing of a character that triggers a range of emotions and reflections among the living, influencing their lives and relationships."', 'source_id': 'chunk-e1f29eeadc1d8ab46dc8a0bbd3c56b64chunk-83ac129dc9b56f84c46760d153d68e93chunk-02baee20cc9463dbe08170a8e1043e32'}> +2024-10-29 15:34:31,441 - lightrag - INFO - get_node:query:MATCH (n:`THE FUTURE`) RETURN n:result:"The Future represents the potential outcomes of Scrooge’s life choices, depicted through the visions shown by the Spirits."', 'source_id': 'chunk-91572b3cd42786ba4cb2f180ca25cbf4chunk-02baee20cc9463dbe08170a8e1043e32'}> +2024-10-29 15:34:31,530 - lightrag - INFO - get_node:query:MATCH (n:`SPANISH ONIONS`) RETURN n:result: +2024-10-29 15:34:31,619 - lightrag - INFO - get_node:query:MATCH (n:`SUNDAY CLOTHES BOY`) RETURN n:result: +2024-10-29 15:34:31,709 - lightrag - INFO - get_node:query:MATCH (n:`GHOST`) RETURN n:result:"The Ghost refers to the spirit guiding Scrooge, embodying the themes of memory and reflection on the joys of Christmas.""The Ghost represents a spiritual guide that takes Scrooge on a journey to learn important lessons about compassion and humanity.""The Ghost serves as a supernatural guide for Scrooge, prompting him to reflect on his life and choices."', 'source_id': 'chunk-503f0bfa5453467c7c61d160a3540ecachunk-c6c248858d1b13ab7ee9ca13c1aeed6bchunk-e7637ff18c5ded77a68cce0a87883fadchunk-43c9bee23adfa77aa9dedd22401bba7d'}> +2024-10-29 15:34:31,797 - lightrag - INFO - get_node:query:MATCH (n:`THE GHOST`) RETURN n:result:"The Ghost is a supernatural entity that shows Scrooge scenes from his past to provoke realization and remorse.""The Ghost refers specifically to the supernatural presence guiding Scrooge through his reflections and past experiences.""The Ghost represents the spirit of Jacob Marley, warning Scrooge about the aftereffects of neglecting human virtue and kindness during life.""The Ghost represents various spectral entities that visit Scrooge to facilitate his transformation by highlighting the consequences of his actions.""The Ghost serves as a guiding presence that helps Scrooge confront and reflect on his past during Christmas."', 'source_id': 'chunk-8590d9263cd2cd4fa583c432fc54e6c3chunk-54bdd22db1f84a965b5f4c06c9216d8dchunk-1aa50206d02ed89418f65f97c6441d1cchunk-02baee20cc9463dbe08170a8e1043e32chunk-da2472b4ef2a535b62908f14d0fb0ca9chunk-359187e7571bda4b0b08b2e0b6581e52'}> +2024-10-29 15:34:31,885 - lightrag - INFO - get_node:query:MATCH (n:`THE BOY`) RETURN n:result:"The Boy is a young messenger who interacts with Scrooge during his purchase of the turkey."', 'source_id': 'chunk-8f738cb25d60a7dab782162d9d0a25edchunk-8bc1edd983869352d14cf0886a9175a7'}> +2024-10-29 15:34:31,973 - lightrag - INFO - get_node:query:MATCH (n:`WANT`) RETURN n:result: +2024-10-29 15:34:32,062 - lightrag - INFO - get_node:query:MATCH (n:`JACOB`) RETURN n:result: +2024-10-29 15:34:32,145 - lightrag - INFO - get_node:query:MATCH (n:`THE CLERK`) RETURN n:result:"The Clerk is an employee of Scrooge, who quietly awaits the end of the workday and represents the working class.""The Clerk works in Scrooge\'s counting-house, depicted as miserable and diminished under Scrooge\'s strict management."', 'source_id': 'chunk-90d5764e301321c087f5a8f78b73a145chunk-74e2466de2f67fd710ef2f20c0a8d9e0chunk-5dac41b3f9eeaf794f0147400b1718cd'}> +2024-10-29 15:34:32,231 - lightrag - INFO - get_node:query:MATCH (n:`FIGS`) RETURN n:result: +2024-10-29 15:34:32,316 - lightrag - INFO - get_node:query:MATCH (n:`PEARS`) RETURN n:result: +2024-10-29 15:34:32,406 - lightrag - INFO - get_node:query:MATCH (n:`THE SPIRIT`) RETURN n:result:"The Spirit is the entity that guides Scrooge through memories, prompting reflections on his past during the Christmas season.""The Spirit refers to an embodiment of the Christmas message that represents moral guidance and introspection in Scrooge\'s life.""The Spirit refers to the Ghost of Christmas Present, a supernatural figure that guides Scrooge through lessons about generosity and community.""The Spirit refers to the supernatural essence of the Ghost of Christmas Past, embodying the idea of reflection and memory.""The Spirit refers to the supernatural influences that visit Scrooge, particularly the second of the Three Spirits.""The Spirit represents the essence of Christmas cheer and generosity, influencing the atmosphere and morale during the feast.""The Spirit represents the supernatural presence urging Scrooge to reflect deeply on the consequences of his life choices, particularly in relation to Death."', 'source_id': 'chunk-b2f98bc7abb0c67d4c86055c7fd72218chunk-e1f29eeadc1d8ab46dc8a0bbd3c56b64chunk-b0f459f5af1c3a5e0b92cbe4ee48b77bchunk-8590d9263cd2cd4fa583c432fc54e6c3chunk-91572b3cd42786ba4cb2f180ca25cbf4chunk-da2472b4ef2a535b62908f14d0fb0ca9chunk-91614df5cb74cbe5e109a338a82041e9chunk-19d72c57ae3408758b18d2568e86dc6b'}> +2024-10-29 15:34:42,818 - lightrag - INFO - get_edge:query: + MATCH (source:`SCROOGE`)-[r]-(target:`THE TURKEY`) + RETURN r + :result:, ) type='DIRECTED' properties={'keywords': '"generosity, celebration"', 'description': '"Scrooge expresses joy and excitement about the turkey he plans to send, highlighting his generous transformation."', 'weight': 7.0, 'source_id': 'chunk-8f738cb25d60a7dab782162d9d0a25ed'}> +2024-10-29 15:34:42,920 - lightrag - INFO - get_edge:query: + MATCH (source:`A CHRISTMAS CAROL`)-[r]-(target:`ARTHUR RACKHAM`) + RETURN r + :result:, ) type='DIRECTED' properties={'keywords': '"illustration, artistic contribution"', 'description': '"Arthur Rackham illustrated A Christmas Carol, enhancing the visual experience of Dickens\' narrative."', 'weight': 8.0, 'source_id': 'chunk-9e3921da66da5d761ab73cd849af6c43'}> +2024-10-29 15:34:43,014 - lightrag - INFO - get_edge:query: + MATCH (source:`MR. MARLEY`)-[r]-(target:`SCROOGE`) + RETURN r + :result:, ) type='DIRECTED' properties={'keywords': '"past connection, isolation"', 'description': '"Scrooge reflects on Mr. Marley\'s death, highlighting his isolation and connection to past values that he now rejects."', 'weight': 7.0, 'source_id': 'chunk-5dac41b3f9eeaf794f0147400b1718cd'}> +2024-10-29 15:34:43,103 - lightrag - INFO - get_edge:query: + MATCH (source:`FOG`)-[r]-(target:`SCROOGE`) + RETURN r + :result:, ) type='DIRECTED' properties={'keywords': '"atmosphere, emotional reflection"', 'description': '"Fog represents the obscured vision of Scrooge\'s soul and emotions, aligning with his unknowable nature."', 'weight': 8.0, 'source_id': 'chunk-d9aac3484185ac66045df92214d245d5'}> +2024-10-29 15:34:43,196 - lightrag - INFO - get_edge:query: + MATCH (source:`DARKNESS`)-[r]-(target:`SCROOGE`) + RETURN r + :result:, ) type='DIRECTED' properties={'keywords': '"themes, isolation"', 'description': '"Darkness symbolizes Scrooge\'s internal feelings of isolation and regret, presenting the overall mood of his journey towards potential redemption."', 'weight': 9.0, 'source_id': 'chunk-9c43dac2fcd5b578242d907ea6f8fc7b'}> +2024-10-29 15:34:43,293 - lightrag - INFO - get_edge:query: + MATCH (source:`CHRISTMAS`)-[r]-(target:`GEESE`) + RETURN r + :result:, ) type='DIRECTED' properties={'keywords': '"culinary tradition, celebration"', 'description': '"Geese are commonly served at Christmas dinners, forming part of the holiday feast."', 'weight': 9.0, 'source_id': 'chunk-99b0ec7f7e006561352b5d65e849611d'}> +2024-10-29 15:34:43,385 - lightrag - INFO - get_edge:query: + MATCH (source:`SCROOGE`)-[r]-(target:`THE HOUSE`) + RETURN r + :result:, ) type='DIRECTED' properties={'keywords': '"haunting, setting influence"', 'description': '"Scrooge\'s experiences with Marley\'s Ghost occur within The House, which plays a crucial role in the haunting atmosphere."', 'weight': 8.0, 'source_id': 'chunk-9c43dac2fcd5b578242d907ea6f8fc7b'}> +2024-10-29 15:34:43,479 - lightrag - INFO - get_edge:query: + MATCH (source:`SCROOGE`)-[r]-(target:`THE GHOST OF MARLEY`) + RETURN r + :result:, ) type='DIRECTED' properties={'keywords': '"supernatural, moral reckoning"', 'description': '"The Ghost of Marley symbolizes Scrooge\'s past mistakes and serves as a catalyst for his transformation."', 'weight': 9.0, 'source_id': 'chunk-d9aac3484185ac66045df92214d245d5'}> +2024-10-29 15:34:43,573 - lightrag - INFO - get_edge:query: + MATCH (source:`CHRISTMAS`)-[r]-(target:`PEARS`) + RETURN r + :result:, ) type='DIRECTED' properties={'keywords': '"seasonal offerings, tradition"', 'description': '"Pears are part of the fruits offered during the Christmas season, enhancing festive markets."', 'weight': 6.0, 'source_id': 'chunk-99b0ec7f7e006561352b5d65e849611d'}> +2024-10-29 15:34:43,665 - lightrag - INFO - get_edge:query: + MATCH (source:`MANKIND`)-[r]-(target:`SCROOGE`) + RETURN r + :result:, ) type='DIRECTED' properties={'keywords': '"moral responsibility, social awareness"', 'description': '"Scrooge\'s actions and neglect of mankind are highlighted in Marley\'s admonitions, emphasizing the need for connection and care for others."', 'weight': 7.0, 'source_id': 'chunk-359187e7571bda4b0b08b2e0b6581e52'}> +2024-10-29 15:34:43,758 - lightrag - INFO - get_edge:query: + MATCH (source:`CHRISTMAS`)-[r]-(target:`MISTLETOE`) + RETURN r + :result:, ) type='DIRECTED' properties={'keywords': '"festive symbols, joy"', 'description': '"Mistletoe is a traditional decoration that enhances the joy and atmosphere of Christmas."', 'weight': 7.0, 'source_id': 'chunk-99b0ec7f7e006561352b5d65e849611d'}> +2024-10-29 15:34:43,848 - lightrag - INFO - get_edge:query: + MATCH (source:`FOG`)-[r]-(target:`THE CITY`) + RETURN r + :result:, ) type='DIRECTED' properties={'keywords': '"atmosphere, symbolism"', 'description': '"The fog in The City creates a dreary atmosphere, signifying confusion and obscured visibility, paralleling Scrooge\'s cold perspective on life."', 'weight': 6.0, 'source_id': 'chunk-74e2466de2f67fd710ef2f20c0a8d9e0'}> +2024-10-29 15:34:43,945 - lightrag - INFO - get_edge:query: + MATCH (source:`SCROOGE`)-[r]-(target:`SCROOGE'S NEPHEW`) + RETURN r + :result:, ) type='DIRECTED' properties={'keywords': '"family conflict, differing perspectives""family dynamics, contrasting views""family dynamics, opposing views"', 'description': '"Scrooge\'s Nephew contrasts with Scrooge, advocating for merriment and showing pity for his uncle\'s ill tempers.""Scrooge\'s Nephew tries to cheer Scrooge up and promote the joy of Christmas, but is met with rejection and negativity.""Scrooge\'s Nephew tries to convince Scrooge of the joys of Christmas, illustrating the conflict between their differing views on the holiday."', 'weight': 24.0, 'source_id': 'chunk-773d0df1dd25c356f7b771d780583e09chunk-74e2466de2f67fd710ef2f20c0a8d9e0chunk-5dac41b3f9eeaf794f0147400b1718cd'}> +2024-10-29 15:34:44,038 - lightrag - INFO - get_edge:query: + MATCH (source:`JOE`)-[r]-(target:`THE DECEASED`) + RETURN r + :result:, ) type='DIRECTED' properties={'keywords': '"materialism, death"', 'description': '"Joe discusses the belongings and implications of The Deceased\'s life, indicating a financial and material relationship with the dead."', 'weight': 5.0, 'source_id': 'chunk-e1f29eeadc1d8ab46dc8a0bbd3c56b64'}> +2024-10-29 15:34:44,127 - lightrag - INFO - get_edge:query: + MATCH (source:`CHRISTMAS-TIME`)-[r]-(target:`SCROOGE`) + RETURN r + :result:, ) type='DIRECTED' properties={'keywords': '"cynicism, holiday spirit conflict"', 'description': '"Scrooge views Christmas-time as a burden rather than a celebration, contrasting with the feelings of others around him."', 'weight': 9.0, 'source_id': 'chunk-5dac41b3f9eeaf794f0147400b1718cd'}> +2024-10-29 15:34:44,219 - lightrag - INFO - get_edge:query: + MATCH (source:`SCROOGE`)-[r]-(target:`THE BOY`) + RETURN r + :result:, ) type='DIRECTED' properties={'keywords': '"generosity, kindness"', 'description': '"Scrooge interacts with The Boy to deliver the turkey, showing a newfound generosity and connection to others."', 'weight': 8.0, 'source_id': 'chunk-8f738cb25d60a7dab782162d9d0a25ed'}> +2024-10-29 15:34:44,309 - lightrag - INFO - get_edge:query: + MATCH (source:`SCROOGE`)-[r]-(target:`THE OBSCURE PART OF TOWN`) + RETURN r + :result:, ) type='DIRECTED' properties={'keywords': '"confrontation, societal reflection"', 'description': '"Scrooge\'s journey leads him to the Obscure Part of Town, representing his confrontation with the darker aspects of life and society."', 'weight': 9.0, 'source_id': 'chunk-f1a4fbcf1ed86864b9bfd5e8dba4c683'}> +2024-10-29 15:34:44,401 - lightrag - INFO - get_edge:query: + MATCH (source:`SCROOGE`)-[r]-(target:`VALENTINE`) + RETURN r + :result:, ) type='DIRECTED' properties={'keywords': '"family memories, nostalgia"', 'description': '"Scrooge\'s mention of Valentine signifies his memories of familial ties and childhood experiences during Christmas."', 'weight': 6.0, 'source_id': 'chunk-8590d9263cd2cd4fa583c432fc54e6c3'}> +2024-10-29 15:34:44,496 - lightrag - INFO - get_edge:query: + MATCH (source:`CLERK`)-[r]-(target:`SCROOGE`) + RETURN r + :result:, ) type='DIRECTED' properties={'keywords': '"employment relationship, respect"', 'description': '"The Clerk communicates with Scrooge about his work, highlighting the lack of mutual respect in their employer-employee relationship."', 'weight': 5.0, 'source_id': 'chunk-d9aac3484185ac66045df92214d245d5'}> +2024-10-29 15:34:44,587 - lightrag - INFO - get_edge:query: + MATCH (source:`ALI BABA`)-[r]-(target:`SCROOGE`) + RETURN r + :result:, ) type='DIRECTED' properties={'keywords': '"nostalgia, childhood stories"', 'description': '"Scrooge recalls Ali Baba while reflecting on memories of Christmas, indicating a strong personal connection to the story and its impact on him."', 'weight': 8.0, 'source_id': 'chunk-8590d9263cd2cd4fa583c432fc54e6c3'}> +2024-10-29 15:34:44,684 - lightrag - INFO - get_edge:query: + MATCH (source:`A CHRISTMAS CAROL`)-[r]-(target:`CHARLES DICKENS`) + RETURN r + :result:, ) type='DIRECTED' properties={'keywords': '"author, literary impact"', 'description': '"Charles Dickens authored A Christmas Carol, which reflects his views on Victorian society and social issues."', 'weight': 10.0, 'source_id': 'chunk-9e3921da66da5d761ab73cd849af6c43'}> +2024-10-29 15:34:44,775 - lightrag - INFO - get_edge:query: + MATCH (source:`CHRISTMAS`)-[r]-(target:`THE GHOST`) + RETURN r + :result:, ) type='DIRECTED' properties={'keywords': '"spiritual guide, thematic connection"', 'description': '"The Ghosts represent the essence of Christmas, highlighting the themes of generosity and change during this festive time."', 'weight': 8.0, 'source_id': 'chunk-02baee20cc9463dbe08170a8e1043e32'}> +2024-10-29 15:34:44,870 - lightrag - INFO - get_edge:query: + MATCH (source:`GHOST OF CHRISTMAS PRESENT`)-[r]-(target:`SPIRIT`) + RETURN r + :result:, ) type='DIRECTED' properties={'keywords': '"mentoring, generosity"', 'description': '"The Ghost embodies the essence of Christmas present, revealing the themes of joy and abundance to Scrooge."', 'weight': 10.0, 'source_id': 'chunk-843b5b2f944c7413d9ca876e2e2f151f'}> +2024-10-29 15:34:44,964 - lightrag - INFO - get_edge:query: + MATCH (source:`SCROOGE`)-[r]-(target:`THE GHOST OF JACOB MARLEY`) + RETURN r + :result:, ) type='DIRECTED' properties={'keywords': '"transformation, warning"', 'description': '"Scrooge\'s encounter with the Ghost of Jacob Marley initiates his journey of self-reflection and realization."', 'weight': 10.0, 'source_id': 'chunk-90b95db5c53e4364a6bee36b7aa4d70f'}> +2024-10-29 15:34:45,053 - lightrag - INFO - get_edge:query: + MATCH (source:`SCROOGE`)-[r]-(target:`THE FUNERAL`) + RETURN r + :result:, ) type='DIRECTED' properties={'keywords': '"business, emotional detachment"', 'description': '"Scrooge treats The Funeral as a business transaction, showing his cold approach to personal loss and death."', 'weight': 7.0, 'source_id': 'chunk-89777b838d5447c7bd1ec11282c4ee89'}> +2024-10-29 15:34:45,145 - lightrag - INFO - get_edge:query: + MATCH (source:`CHILDREN`)-[r]-(target:`SCROOGE`) + RETURN r + :result:, ) type='DIRECTED' properties={'keywords': '"longing, innocence"', 'description': '"Scrooge\'s reaction to the Children he observes in his memories reveals his longing for the happiness he once knew but has since lost."', 'weight': 7.0, 'source_id': 'chunk-bb21d58d36c6306fd8810ddd51c4a971'}> +2024-10-29 15:34:45,236 - lightrag - INFO - get_edge:query: + MATCH (source:`SCROOGE`)-[r]-(target:`THE GRAVE`) + RETURN r + :result:, ) type='DIRECTED' properties={'keywords': '"mortality, urgency"', 'description': '"Scrooge’s need to confront his own grave signifies the urgency to change his life before it is too late."', 'weight': 8.0, 'source_id': 'chunk-91572b3cd42786ba4cb2f180ca25cbf4'}> +2024-10-29 15:34:45,326 - lightrag - INFO - get_edge:query: + MATCH (source:`MRS. CRATCHIT`)-[r]-(target:`SCROOGE`) + RETURN r + :result:, ) type='DIRECTED' properties={'keywords': '"criticism, emotional conflict"', 'description': '"Mrs. Cratchit openly criticizes Scrooge during the Christmas dinner, expressing her feelings towards him and emphasizing the family\'s resentment."', 'weight': 8.0, 'source_id': 'chunk-19d72c57ae3408758b18d2568e86dc6b'}> +2024-10-29 15:34:45,419 - lightrag - INFO - get_edge:query: + MATCH (source:`THE DAUGHTER`)-[r]-(target:`THE MOTHER`) + RETURN r + :result:, ) type='DIRECTED' properties={'keywords': '"familial love, joy"', 'description': '"The Mother and Daughter share a loving and playful relationship, showcasing familial bonds and joy during the Christmas season."', 'weight': 7.0, 'source_id': 'chunk-54bdd22db1f84a965b5f4c06c9216d8d'}> +2024-10-29 15:34:45,515 - lightrag - INFO - get_edge:query: + MATCH (source:`CHRISTMAS CAROL`)-[r]-(target:`SCROOGE`) + RETURN r + :result:, ) type='DIRECTED' properties={'keywords': '"generosity, connection"', 'description': '"Scrooge recalls a Christmas carol, wishing to give to a boy, which signifies his longing for connection and generosity."', 'weight': 8.0, 'source_id': 'chunk-8590d9263cd2cd4fa583c432fc54e6c3'}> +2024-10-29 15:34:45,607 - lightrag - INFO - get_edge:query: + MATCH (source:`SCROOGE`)-[r]-(target:`SPIRIT`) + RETURN r + :result:, ) type='DIRECTED' properties={'keywords': '"guidance, emotional journey""guidance, transformation""personal growth, spiritual journey""reflection, guidance"', 'description': '"Scrooge engages with the Spirit, who guides him through reflections on his life and warns him of societal issues.""Scrooge learns from the Spirit about the consequences of his actions and the sentiments evoked by death, leading to personal growth.""Scrooge’s interaction with the Spirit emphasizes the emotional weight of his past decisions and feelings as they relate to his transformation.""The Spirit directly influences Scrooge’s transformation and highlights the importance of compassion in human life."', 'weight': 34.0, 'source_id': 'chunk-02baee20cc9463dbe08170a8e1043e32chunk-bb21d58d36c6306fd8810ddd51c4a971chunk-83ac129dc9b56f84c46760d153d68e93chunk-e7637ff18c5ded77a68cce0a87883fad'}> +2024-10-29 15:34:45,699 - lightrag - INFO - get_edge:query: + MATCH (source:`SCROOGE`)-[r]-(target:`THE POULTERER'S`) + RETURN r + :result:, ) type='DIRECTED' properties={'keywords': '"generosity, commerce"', 'description': '"Scrooge interacts with The Poulterer\'s to purchase a turkey as an act of generosity toward Bob Cratchit\'s family."', 'weight': 8.0, 'source_id': 'chunk-90b95db5c53e4364a6bee36b7aa4d70f'}> +2024-10-29 15:34:45,791 - lightrag - INFO - get_edge:query: + MATCH (source:`SCROOGE`)-[r]-(target:`THE PRESENT`) + RETURN r + :result:, ) type='DIRECTED' properties={'keywords': '"change, awareness"', 'description': '"Scrooge emphasizes the importance of living fully in The Present to change his fate going forward."', 'weight': 9.0, 'source_id': 'chunk-91572b3cd42786ba4cb2f180ca25cbf4'}> +2024-10-29 15:34:45,887 - lightrag - INFO - get_edge:query: + MATCH (source:`SCROOGE`)-[r]-(target:`THE GHOST OF CHRISTMAS PAST`) + RETURN r + :result:, ) type='DIRECTED' properties={'keywords': '"introspection, memory"', 'description': '"The Ghost of Christmas Past guides Scrooge through recollections, prompting his introspection about his former self and choices."', 'weight': 10.0, 'source_id': 'chunk-b2f98bc7abb0c67d4c86055c7fd72218'}> +2024-10-29 15:34:45,977 - lightrag - INFO - get_edge:query: + MATCH (source:`SCROOGE`)-[r]-(target:`THE PHANTOM`) + RETURN r + :result:, ) type='DIRECTED' properties={'keywords': '"guidance, self-reflection"', 'description': '"Scrooge interacts with the Phantom, which guides him through reflections on his life and future, emphasizing his journey of change."', 'weight': 9.0, 'source_id': 'chunk-f1a4fbcf1ed86864b9bfd5e8dba4c683'}> +2024-10-29 15:34:46,066 - lightrag - INFO - get_edge:query: + MATCH (source:`ROBIN CRUSOE`)-[r]-(target:`SCROOGE`) + RETURN r + :result:, ) type='DIRECTED' properties={'keywords': '"literary influence, nostalgia"', 'description': '"Scrooge\'s reference to Robin Crusoe during his reflections shows how literary characters shaped his childhood thoughts and feelings."', 'weight': 7.0, 'source_id': 'chunk-8590d9263cd2cd4fa583c432fc54e6c3'}> +2024-10-29 15:34:46,154 - lightrag - INFO - get_edge:query: + MATCH (source:`BELLE`)-[r]-(target:`SCROOGE`) + RETURN r + :result:, ) type='DIRECTED' properties={'keywords': '"lost love, regret"', 'description': '"Scrooge reflects on his lost relationship with Belle, highlighting his feelings of regret and emotional pain."', 'weight': 8.0, 'source_id': 'chunk-da2472b4ef2a535b62908f14d0fb0ca9'}> +2024-10-29 15:34:46,242 - lightrag - INFO - get_edge:query: + MATCH (source:`RUSTY KEYS, NAILS, CHAINS, HINGES`)-[r]-(target:`THE LOW-BROWED SHOP`) + RETURN r + :result:, ) type='DIRECTED' properties={'keywords': '"symbolism, societal neglect"', 'description': '"The Rusty Keys, Nails, Chains, and Hinges within the Low-Browed Shop highlight the decay and abandonment of valued items, metaphorically reflecting societal neglect."', 'weight': 7.0, 'source_id': 'chunk-f1a4fbcf1ed86864b9bfd5e8dba4c683'}> +2024-10-29 15:34:46,336 - lightrag - INFO - get_edge:query: + MATCH (source:`SCROOGE`)-[r]-(target:`THE CLERK`) + RETURN r + :result:, ) type='DIRECTED' properties={'keywords': '"contrast in attitudes, workplace dynamics""unfair treatment, workplace dynamics"', 'description': '"Scrooge\'s treatment of the Clerk highlights his miserly and cruel nature, contributing to an oppressive work environment.""The Clerk represents the festive spirit of Christmas that Scrooge dismisses, showcasing Scrooge\'s coldness."', 'weight': 13.0, 'source_id': 'chunk-74e2466de2f67fd710ef2f20c0a8d9e0chunk-5dac41b3f9eeaf794f0147400b1718cd'}> +2024-10-29 15:34:46,433 - lightrag - INFO - get_edge:query: + MATCH (source:`SCROOGE`)-[r]-(target:`THE GENTLEMAN`) + RETURN r + :result:, ) type='DIRECTED' properties={'keywords': '"charity, conflict of values"', 'description': '"Scrooge and The Gentleman have opposing views on charity and helping the poor during Christmas, showing a stark contrast in values."', 'weight': 8.0, 'source_id': 'chunk-90d5764e301321c087f5a8f78b73a145'}> +2024-10-29 15:34:46,525 - lightrag - INFO - get_edge:query: + MATCH (source:`SCROOGE`)-[r]-(target:`THE WAREHOUSE`) + RETURN r + :result:, ) type='DIRECTED' properties={'keywords': '"memories, apprenticeship"', 'description': '"Scrooge\'s connection to the Warehouse emphasizes his memories of apprenticeship and his past experiences."', 'weight': 8.0, 'source_id': 'chunk-c6c248858d1b13ab7ee9ca13c1aeed6b'}> +2024-10-29 15:34:46,616 - lightrag - INFO - get_edge:query: + MATCH (source:`SCROOGE`)-[r]-(target:`THE BUSINESSMEN`) + RETURN r + :result:, ) type='DIRECTED' properties={'keywords': '"societal apathy, lack of empathy"', 'description': '"Scrooge’s death is discussed among the Businessmen, who show a lack of concern, exemplifying the indifference of society."', 'weight': 8.0, 'source_id': 'chunk-02baee20cc9463dbe08170a8e1043e32'}> +2024-10-29 15:34:46,710 - lightrag - INFO - get_edge:query: + MATCH (source:`CHRISTMAS`)-[r]-(target:`THE MANSION HOUSE`) + RETURN r + :result:, ) type='DIRECTED' properties={'keywords': '"festivities, governance"', 'description': '"The Mansion House is referenced in the context of Christmas celebrations, illustrating its role in festive festivities and governance."', 'weight': 7.0, 'source_id': 'chunk-90d5764e301321c087f5a8f78b73a145'}> +2024-10-29 15:34:46,802 - lightrag - INFO - get_edge:query: + MATCH (source:`SCROOGE`)-[r]-(target:`WEALTH`) + RETURN r + :result:, ) type='DIRECTED' properties={'keywords': '"materialism, character development"', 'description': '"Scrooge confronts the obsession with wealth which has led him away from meaningful connections and happiness."', 'weight': 8.0, 'source_id': 'chunk-b2f98bc7abb0c67d4c86055c7fd72218'}> +2024-10-29 15:34:46,897 - lightrag - INFO - get_edge:query: + MATCH (source:`SCROOGE`)-[r]-(target:`THE SPIRITS`) + RETURN r + :result:, ) type='DIRECTED' properties={'keywords': '"redemption, guidance"', 'description': '"The Spirits embody the lessons Scrooge must learn to change his life and embrace kindness."', 'weight': 9.0, 'source_id': 'chunk-90b95db5c53e4364a6bee36b7aa4d70f'}> +2024-10-29 15:34:46,990 - lightrag - INFO - get_edge:query: + MATCH (source:`GHOST`)-[r]-(target:`SCROOGE`) + RETURN r + :result:, ) type='DIRECTED' properties={'keywords': '"reflection, self-discovery""spiritual guidance, transformation"', 'description': '"The Ghost guides Scrooge through reflections of his past, influencing his journey toward redemption.""The Ghost takes Scrooge on a journey to teach him lessons about generosity and compassion towards others."', 'weight': 17.0, 'source_id': 'chunk-c6c248858d1b13ab7ee9ca13c1aeed6bchunk-e7637ff18c5ded77a68cce0a87883fad'}> +2024-10-29 15:34:47,081 - lightrag - INFO - get_edge:query: + MATCH (source:`THE FROZEN MOOR`)-[r]-(target:`THE SETTING SUN`) + RETURN r + :result:, ) type='DIRECTED' properties={'keywords': '"nature, contrast"', 'description': '"The Setting Sun casts a dramatic light on the Frozen Moor, highlighting the stark beauty and desolation of the landscape."', 'weight': 6.0, 'source_id': 'chunk-91614df5cb74cbe5e109a338a82041e9'}> +2024-10-29 15:34:47,173 - lightrag - INFO - get_edge:query: + MATCH (source:`PORTLY GENTLEMEN`)-[r]-(target:`SCROOGE`) + RETURN r + :result:, ) type='DIRECTED' properties={'keywords': '"charity rejection, conflict"', 'description': '"Scrooge dismisses the Portly Gentlemen\'s request for donations, rejecting their appeal for charity."', 'weight': 8.0, 'source_id': 'chunk-5dac41b3f9eeaf794f0147400b1718cd'}> +2024-10-29 15:34:47,264 - lightrag - INFO - get_edge:query: + MATCH (source:`DICK WILKINS`)-[r]-(target:`SCROOGE`) + RETURN r + :result:, ) type='DIRECTED' properties={'keywords': '"friendship, apprenticeship"', 'description': '"Scrooge recalls his friendship with Dick Wilkins, highlighting the connections of youth and support during their apprenticeship."', 'weight': 7.0, 'source_id': 'chunk-c6c248858d1b13ab7ee9ca13c1aeed6b'}> +2024-10-29 15:34:47,355 - lightrag - INFO - get_edge:query: + MATCH (source:`CRATCHIT FAMILY`)-[r]-(target:`SCROOGE`) + RETURN r + :result:, ) type='DIRECTED' properties={'keywords': '"compassion, social awareness"', 'description': '"Scrooge\'s reflections on the Cratchit family\'s situation symbolize his evolving understanding of compassion and social responsibility."', 'weight': 7.0, 'source_id': 'chunk-83ac129dc9b56f84c46760d153d68e93'}> +2024-10-29 15:34:47,449 - lightrag - INFO - get_edge:query: + MATCH (source:`BOB CRATCHIT`)-[r]-(target:`SCROOGE`) + RETURN r + :result:, ) type='DIRECTED' properties={'keywords': '"employment, generosity""employment, power dynamic""employment, social reflection""family dynamics, acknowledgment""generosity, relationship change""gratitude, redemption"', 'description': '"Bob Cratchit tries to maintain a positive atmosphere during the Christmas feast despite the negative association with Scrooge.""Bob praises Scrooge as \'The Founder of the Feast\', showing appreciation despite Scrooge’s previous miserliness.""Scrooge decides to send a turkey to Bob Cratchit, indicating a newfound kindness towards him and his family.""Scrooge is Bob Cratchit\'s employer, and he reflects on the challenges Bob faces regarding family and food on Christmas Day.".""Scrooge is the employer of Bob Cratchit, demonstrating a power dynamic characterized by Scrooge\'s harsh treatment and Bob\'s subservient role.""Scrooge reprimands Bob for arriving late, but ultimately decides to raise his salary, signaling a significant change in their employer-employee relationship."', 'weight': 40.0, 'source_id': 'chunk-503f0bfa5453467c7c61d160a3540ecachunk-90b95db5c53e4364a6bee36b7aa4d70fchunk-b0f459f5af1c3a5e0b92cbe4ee48b77bchunk-d9aac3484185ac66045df92214d245d5chunk-94bea83e7153fc2064aa382b494936a1chunk-19d72c57ae3408758b18d2568e86dc6b'}> +2024-10-29 15:34:47,544 - lightrag - INFO - get_edge:query: + MATCH (source:`CHRISTMAS`)-[r]-(target:`TURKEYS`) + RETURN r + :result:, ) type='DIRECTED' properties={'keywords': '"culinary tradition, celebration"', 'description': '"Turkeys are a traditional dish served during Christmas, contributing to the celebratory meal."', 'weight': 9.0, 'source_id': 'chunk-99b0ec7f7e006561352b5d65e849611d'}> +2024-10-29 15:34:47,636 - lightrag - INFO - get_edge:query: + MATCH (source:`SCROOGE`)-[r]-(target:`THE SPIRIT`) + RETURN r + :result:, ) type='DIRECTED' properties={'keywords': '"guidance, transformation""moral guidance, transformation""self-reflection, transformation""supernatural guidance, self-reflection""supernatural intervention, guidance"', 'description': '"Scrooge engages with the Spirit as it reveals memories that prompt significant self-reflection and consideration of change.""Scrooge is guided by the Spirit, who shows him different scenes related to the joy and struggles of Christmas, aiming to change his heart.""The Spirit challenges Scrooge\'s perspective on life, urging him to consider the implications of his actions in light of death.""The Spirit represents an upcoming change in Scrooge\'s life, aiming to guide him towards redemption.""The Spirit represents moral lessons and urges Scrooge to change his ways for a better future."', 'weight': 47.0, 'source_id': 'chunk-b2f98bc7abb0c67d4c86055c7fd72218chunk-e1f29eeadc1d8ab46dc8a0bbd3c56b64chunk-91572b3cd42786ba4cb2f180ca25cbf4chunk-da2472b4ef2a535b62908f14d0fb0ca9chunk-91614df5cb74cbe5e109a338a82041e9'}> +2024-10-29 15:34:47,727 - lightrag - INFO - get_edge:query: + MATCH (source:`FEZZIWIG`)-[r]-(target:`SCROOGE`) + RETURN r + :result:, ) type='DIRECTED' properties={'keywords': '"kindness, mentorship""reflection, influence"', 'description': '"Scrooge reflects positively on Fezziwig\'s past actions, acknowledging the happiness and gratitude he inspired in people.""Scrooge reminisces about Fezziwig\'s kindness during his apprenticeship, comparing his past self to his current state."', 'weight': 16.0, 'source_id': 'chunk-b2f98bc7abb0c67d4c86055c7fd72218chunk-c6c248858d1b13ab7ee9ca13c1aeed6b'}> +2024-10-29 15:34:47,820 - lightrag - INFO - get_edge:query: + MATCH (source:`CHRISTMAS`)-[r]-(target:`FRENCH PLUMS`) + RETURN r + :result:, ) type='DIRECTED' properties={'keywords': '"seasonal offerings, festive foods"', 'description': '"French Plums are included in the festive offerings, creating a rich holiday atmosphere."', 'weight': 6.0, 'source_id': 'chunk-99b0ec7f7e006561352b5d65e849611d'}> +2024-10-29 15:34:47,914 - lightrag - INFO - get_edge:query: + MATCH (source:`CHRISTMAS-TIME`)-[r]-(target:`THE PHANTOM`) + RETURN r + :result:, ) type='DIRECTED' properties={'keywords': '"supernatural influence, time of reflection"', 'description': '"The Phantom\'s visits coincide with Christmas time, a time symbolizing reflection, redemption, and moral awakening."', 'weight': 8.0, 'source_id': 'chunk-f1a4fbcf1ed86864b9bfd5e8dba4c683'}> +2024-10-29 15:34:48,005 - lightrag - INFO - get_edge:query: + MATCH (source:`SCROOGE`)-[r]-(target:`SHADOW OF HIMSELF`) + RETURN r + :result:, ) type='DIRECTED' properties={'keywords': '"introspection, personal growth"', 'description': '"Scrooge hopes to learn from the Shadow of Himself, signifying his desire for personal growth and understanding of his life choices."', 'weight': 9.0, 'source_id': 'chunk-f1a4fbcf1ed86864b9bfd5e8dba4c683'}> +2024-10-29 15:34:48,096 - lightrag - INFO - get_edge:query: + MATCH (source:`SCROOGE`)-[r]-(target:`THE DECEASED`) + RETURN r + :result:, ) type='DIRECTED' properties={'keywords': '"reflection, mortality"', 'description': '"Scrooge reflects on the condition and life of The Deceased, equating his own life with the man\'s fate, indicating a profound contemplation of mortality."', 'weight': 8.0, 'source_id': 'chunk-e1f29eeadc1d8ab46dc8a0bbd3c56b64'}> +2024-10-29 15:34:48,184 - lightrag - INFO - get_edge:query: + MATCH (source:`LONDON`)-[r]-(target:`SCROOGE`) + RETURN r + :result:, ) type='DIRECTED' properties={'keywords': '"setting, seasonal context""setting, transformation"', 'description': '"London as the setting contextualizes Scrooge\'s experiences and transformations regarding Christmas celebrations.""Scrooge\'s experiences reflect the larger context of life in London during the festive season, emphasizing the mood of the city at that time."', 'weight': 12.0, 'source_id': 'chunk-d9aac3484185ac66045df92214d245d5chunk-43c9bee23adfa77aa9dedd22401bba7d'}> +2024-10-29 15:34:48,274 - lightrag - INFO - get_edge:query: + MATCH (source:`IGNORANCE`)-[r]-(target:`MAN`) + RETURN r + :result:, ) type='DIRECTED' properties={'keywords': '"societal responsibility, advocacy"', 'description': '"The concept of Man is tied to Ignorance and Want, illustrating the failures of society in addressing poverty and need."', 'weight': 9.0, 'source_id': 'chunk-e7637ff18c5ded77a68cce0a87883fad'}> +2024-10-29 15:34:48,365 - lightrag - INFO - get_edge:query: + MATCH (source:`DICK`)-[r]-(target:`SCROOGE`) + RETURN r + :result:, ) type='DIRECTED' properties={'keywords': '"nostalgia, friendship"', 'description': '"Scrooge remembers Dick as a part of his past, highlighting their shared experiences during happier times."', 'weight': 7.0, 'source_id': 'chunk-b2f98bc7abb0c67d4c86055c7fd72218'}> +2024-10-29 15:34:48,456 - lightrag - INFO - get_edge:query: + MATCH (source:`BAD REPUTE`)-[r]-(target:`SCROOGE`) + RETURN r + :result:, ) type='DIRECTED' properties={'keywords': '"self-reflection, moral awakening"', 'description': '"Scrooge\'s experience in areas of Bad Repute forces him to confront the realities of society and his own role within it."', 'weight': 9.0, 'source_id': 'chunk-f1a4fbcf1ed86864b9bfd5e8dba4c683'}> +2024-10-29 15:34:48,548 - lightrag - INFO - get_edge:query: + MATCH (source:`CHILDREN`)-[r]-(target:`SPIRIT`) + RETURN r + :result:, ) type='DIRECTED' properties={'keywords': '"social issues, innocence"', 'description': '"The Spirit introduces Scrooge to the Children as representations of societal neglect, urging recognition and action."', 'weight': 9.0, 'source_id': 'chunk-e7637ff18c5ded77a68cce0a87883fad'}> +2024-10-29 15:34:48,640 - lightrag - INFO - get_edge:query: + MATCH (source:`SCROOGE`)-[r]-(target:`THE CHURCH`) + RETURN r + :result:, ) type='DIRECTED' properties={'keywords': '"community, spirituality"', 'description': '"Scrooge\'s visit to The Church reflects his desire to embrace the spirit of Christmas and community engagement."', 'weight': 9.0, 'source_id': 'chunk-8f738cb25d60a7dab782162d9d0a25ed'}> +2024-10-29 15:34:48,733 - lightrag - INFO - get_edge:query: + MATCH (source:`THE FATHER`)-[r]-(target:`THE MOTHER`) + RETURN r + :result:, ) type='DIRECTED' properties={'keywords': '"family dynamics, togetherness"', 'description': '"The Mother and Father are depicted together, emphasizing family dynamics during the festive occasion."', 'weight': 6.0, 'source_id': 'chunk-da2472b4ef2a535b62908f14d0fb0ca9'}> +2024-10-29 15:34:48,826 - lightrag - INFO - get_edge:query: + MATCH (source:`SCROOGE`)-[r]-(target:`THE GHOST OF CHRISTMAS PRESENT`) + RETURN r + :result:, ) type='DIRECTED' properties={'keywords': '"awareness, joy""supernatural guidance, social impact""transformation, guidance"', 'description': '"The Ghost of Christmas Present exposes Scrooge to the joy and generosity he has been missing.""The Ghost of Christmas Present observes Scrooge\'s transformation and emotional engagement with his memories of Christmas.""The Ghost of Christmas Present shows Scrooge the joy and importance of kindness during Christmas, impacting his perspective on social issues."', 'weight': 26.0, 'source_id': 'chunk-90b95db5c53e4364a6bee36b7aa4d70fchunk-43c9bee23adfa77aa9dedd22401bba7dchunk-b0f459f5af1c3a5e0b92cbe4ee48b77b'}> +2024-10-29 15:34:48,916 - lightrag - INFO - get_edge:query: + MATCH (source:`SCROOGE`)-[r]-(target:`THE GHOST`) + RETURN r + :result:, ) type='DIRECTED' properties={'keywords': '"guidance, transformation""memory, influence""reflection, guidance""self-reflection, transformation"', 'description': '"Scrooge\'s engagement with The Ghost prompts a significant emotional and psychological transformation as he confronts his past.""The Ghost guides Scrooge through visions of his past, forcing him to confront his choices and their consequences.""The Ghost influences Scrooge\'s reflections on his past and his current emotions regarding Christmas festivities.""The Ghost serves as a catalyst for Scrooge\'s reflections, guiding him to confront his past and feelings about Christmas."', 'weight': 35.0, 'source_id': 'chunk-da2472b4ef2a535b62908f14d0fb0ca9chunk-43c9bee23adfa77aa9dedd22401bba7dchunk-54bdd22db1f84a965b5f4c06c9216d8dchunk-8590d9263cd2cd4fa583c432fc54e6c3'}> +2024-10-29 15:34:49,007 - lightrag - INFO - get_edge:query: + MATCH (source:`A CHRISTMAS CAROL`)-[r]-(target:`PROJECT GUTENBERG`) + RETURN r + :result:, ) type='DIRECTED' properties={'keywords': '"publication, accessibility"', 'description': '"A Christmas Carol is published and distributed freely through Project Gutenberg, making it accessible to a global audience."', 'weight': 9.0, 'source_id': 'chunk-9e3921da66da5d761ab73cd849af6c43'}> +2024-10-29 15:34:49,099 - lightrag - INFO - get_edge:query: + MATCH (source:`CHRISTMAS`)-[r]-(target:`THE GROCERS`) + RETURN r + :result:, ) type='DIRECTED' properties={'keywords': '"community engagement, festive spirit"', 'description': '"The Grocers contribute to the festive Christmas atmosphere by providing goods and serving eager customers."', 'weight': 9.0, 'source_id': 'chunk-99b0ec7f7e006561352b5d65e849611d'}> +2024-10-29 15:34:49,187 - lightrag - INFO - get_edge:query: + MATCH (source:`CHRISTMAS`)-[r]-(target:`GREAT BRITAIN`) + RETURN r + :result:, ) type='DIRECTED' properties={'keywords': '"celebration, societal mood"', 'description': '"The celebration of Christmas brings a cheerful atmosphere to Great Britain despite the gloomy weather conditions."', 'weight': 7.0, 'source_id': 'chunk-99b0ec7f7e006561352b5d65e849611d'}> +2024-10-29 15:34:49,280 - lightrag - INFO - get_edge:query: + MATCH (source:`SCROOGE`)-[r]-(target:`THE GIRL`) + RETURN r + :result:, ) type='DIRECTED' properties={'keywords': '"family ties, kindness"', 'description': '"Scrooge\'s pleasant interaction with The Girl at Fred\'s house shows his desire for family connection and warmth."', 'weight': 8.0, 'source_id': 'chunk-8f738cb25d60a7dab782162d9d0a25ed'}> +2024-10-29 15:34:49,374 - lightrag - INFO - get_edge:query: + MATCH (source:`JACOB MARLEY`)-[r]-(target:`SCROOGE`) + RETURN r + :result:, ) type='DIRECTED' properties={'keywords': '"catalyst for change, supernatural guidance""past influence, warning""redemption, moral lesson""supernatural encounter, past ties""transformation, influence""warning, transformation"', 'description': '"Jacob Marley is the spirit who brings forth the need for Scrooge to change his ways, impacting his character development.""Scrooge confronts Jacob Marley, his former business partner, who returns as a ghost to influence Scrooge\'s perspective on life and his actions.""Scrooge converses with the ghost of Jacob Marley, who tries to guide him toward understanding the importance of compassion and the consequences of his actions.""Scrooge interacts with Jacob Marley, who serves as a critical warning for Scrooge to change his ways before it\'s too late.""Scrooge reflects on Jacob Marley’s past warnings, which serve as a catalyst for his transformation.""Scrooge\'s transformation is prompted by the appearance and message of Jacob Marley, his former business partner."', 'weight': 54.0, 'source_id': 'chunk-90b95db5c53e4364a6bee36b7aa4d70fchunk-1aa50206d02ed89418f65f97c6441d1cchunk-02baee20cc9463dbe08170a8e1043e32chunk-91572b3cd42786ba4cb2f180ca25cbf4chunk-da2472b4ef2a535b62908f14d0fb0ca9chunk-359187e7571bda4b0b08b2e0b6581e52'}> +2024-10-29 15:34:49,466 - lightrag - INFO - get_edge:query: + MATCH (source:`BOB`)-[r]-(target:`SCROOGE`) + RETURN r + :result:, ) type='DIRECTED' properties={'keywords': '"humor, generosity"', 'description': '"Scrooge makes a humorous comment about sending a large turkey to Bob, indicating a lighthearted relationship."', 'weight': 6.0, 'source_id': 'chunk-8f738cb25d60a7dab782162d9d0a25ed'}> +2024-10-29 15:34:49,558 - lightrag - INFO - get_edge:query: + MATCH (source:`SCHOOL`)-[r]-(target:`SCROOGE`) + RETURN r + :result:, ) type='DIRECTED' properties={'keywords': '"neglect, formative experiences"', 'description': '"The School serves as a poignant reminder of Scrooge\'s childhood neglect, influencing his character development and emotional barriers."', 'weight': 7.0, 'source_id': 'chunk-bb21d58d36c6306fd8810ddd51c4a971'}> +2024-10-29 15:34:49,659 - lightrag - INFO - get_edge:query: + MATCH (source:`APPLES`)-[r]-(target:`CHRISTMAS`) + RETURN r + :result:, ) type='DIRECTED' properties={'keywords': '"seasonal offerings, tradition"', 'description': '"Apples are featured in markets during Christmas, indicating traditional holiday fare."', 'weight': 6.0, 'source_id': 'chunk-99b0ec7f7e006561352b5d65e849611d'}> +2024-10-29 15:34:49,754 - lightrag - INFO - get_edge:query: + MATCH (source:`SCROOGE`)-[r]-(target:`THE KNOCKER`) + RETURN r + :result:, ) type='DIRECTED' properties={'keywords': '"appreciation, transformation""symbolism, transformation"', 'description': '"Scrooge admires the knocker at his door, marking a positive change in his attitude towards life and surroundings.""The Knocker, transforming into Marley\'s face, symbolizes Scrooge\'s ghostly past and impending redemption challenges."', 'weight': 15.0, 'source_id': 'chunk-d9aac3484185ac66045df92214d245d5chunk-8f738cb25d60a7dab782162d9d0a25ed'}> +2024-10-29 15:34:49,848 - lightrag - INFO - get_edge:query: + MATCH (source:`CHRISTMAS`)-[r]-(target:`HOLLY`) + RETURN r + :result:, ) type='DIRECTED' properties={'keywords': '"festive decorations, holiday spirit"', 'description': '"Holly contributes to the festive decorations associated with the Christmas celebration."', 'weight': 8.0, 'source_id': 'chunk-99b0ec7f7e006561352b5d65e849611d'}> +2024-10-29 15:34:49,939 - lightrag - INFO - get_edge:query: + MATCH (source:`MARKET-TOWN`)-[r]-(target:`SCROOGE`) + RETURN r + :result:, ) type='DIRECTED' properties={'keywords': '"nostalgia, memory"', 'description': '"Scrooge recognizes the Market-Town, eliciting fond memories from his childhood and emphasizing his emotional response to the past."', 'weight': 7.0, 'source_id': 'chunk-bb21d58d36c6306fd8810ddd51c4a971'}> +2024-10-29 15:34:50,031 - lightrag - INFO - get_edge:query: + MATCH (source:`CHRISTMAS`)-[r]-(target:`THE LAMPLIGHTER`) + RETURN r + :result:, ) type='DIRECTED' properties={'keywords': '"symbolism, holiday spirit"', 'description': '"The Lamplighter\'s actions of spreading light symbolize the joy and warmth associated with Christmas."', 'weight': 7.0, 'source_id': 'chunk-91614df5cb74cbe5e109a338a82041e9'}> +2024-10-29 15:34:50,123 - lightrag - INFO - get_edge:query: + MATCH (source:`MASTER SCROOGE`)-[r]-(target:`SCROOGE`) + RETURN r + :result:, ) type='DIRECTED' properties={'keywords': '"nostalgia, identity"', 'description': '"The young Master Scrooge represents Scrooge\'s earlier aspirations and innocence, contrasting with his current self."', 'weight': 9.0, 'source_id': 'chunk-c6c248858d1b13ab7ee9ca13c1aeed6b'}> +2024-10-29 15:34:50,215 - lightrag - INFO - get_edge:query: + MATCH (source:`SCROOGE`)-[r]-(target:`THE BLANKETS`) + RETURN r + :result:, ) type='DIRECTED' properties={'keywords': '"neglect, reflection"', 'description': '"Scrooge contemplates the significance of The Blankets, linking them to the neglected state of The Deceased in death."', 'weight': 8.0, 'source_id': 'chunk-e1f29eeadc1d8ab46dc8a0bbd3c56b64'}> +2024-10-29 15:34:50,304 - lightrag - INFO - get_edge:query: + MATCH (source:`LIGHT`)-[r]-(target:`THE VISITOR`) + RETURN r + :result:, ) type='DIRECTED' properties={'keywords': '"enlightenment, revelation"', 'description': '"The Visitor is associated with Light, which represents enlightenment and understanding for Scrooge during his existential crisis."', 'weight': 9.0, 'source_id': 'chunk-c7b10789a9cb0af6c553730b29bd9034'}> +2024-10-29 15:34:50,393 - lightrag - INFO - get_edge:query: + MATCH (source:`SCROOGE`)-[r]-(target:`THE GRATE`) + RETURN r + :result:, ) type='DIRECTED' properties={'keywords': '"isolation, setting mood"', 'description': '"The Grate\'s cold fire adds to the bleak setting of Scrooge\'s home, illustrating his disconnection from warmth and comfort before the supernatural events unfold."', 'weight': 6.0, 'source_id': 'chunk-9c43dac2fcd5b578242d907ea6f8fc7b'}> +2024-10-29 15:34:50,501 - lightrag - INFO - get_edge:query: + MATCH (source:`MARLEY'S GHOST`)-[r]-(target:`THE CANDLE`) + RETURN r + :result:, ) type='DIRECTED' properties={'keywords': '"hope, contrast"', 'description': '"The Candle\'s light contrasts with the darkness of the haunting, representing the flicker of hope amidst Scrooge\'s despair."', 'weight': 7.0, 'source_id': 'chunk-9c43dac2fcd5b578242d907ea6f8fc7b'}> +2024-10-29 15:34:50,601 - lightrag - INFO - get_edge:query: + MATCH (source:`CHRISTMAS DAY`)-[r]-(target:`SCROOGE`) + RETURN r + :result:, ) type='DIRECTED' properties={'keywords': '"seasonal significance, renewal"', 'description': '"Scrooge\'s change in attitude and actions occur on Christmas Day, making it a pivotal event in his story."', 'weight': 9.0, 'source_id': 'chunk-90b95db5c53e4364a6bee36b7aa4d70f'}> +2024-10-29 15:34:50,700 - lightrag - INFO - get_edge:query: + MATCH (source:`SCROOGE`)-[r]-(target:`SUNDAY CLOTHES BOY`) + RETURN r + :result:, ) type='DIRECTED' properties={'keywords': '"kindness, generosity"', 'description': '"Scrooge\'s interaction with the Sunday Clothes Boy highlights his evolving attitude towards generosity and kindness."', 'weight': 7.0, 'source_id': 'chunk-90b95db5c53e4364a6bee36b7aa4d70f'}> +2024-10-29 15:34:50,794 - lightrag - INFO - get_edge:query: + MATCH (source:`SCROOGE`)-[r]-(target:`TINY TIM`) + RETURN r + :result:, ) type='DIRECTED' properties={'keywords': '"personal transformation, empathy""transformation, mentorship""transformation, redemption"', 'description': '"Scrooge becomes a father figure to Tiny Tim, showing a deep commitment to his well-being after realizing the importance of family and caring for others.""Scrooge reflects on Tiny Tim and expresses concern for his wellbeing, indicating a pivotal change in his character and attitudes towards the less fortunate.""Scrooge\'s transformation is influenced by his reflections on the impact of Tiny Tim\'s life and death."', 'weight': 26.0, 'source_id': 'chunk-94bea83e7153fc2064aa382b494936a1chunk-503f0bfa5453467c7c61d160a3540ecachunk-91572b3cd42786ba4cb2f180ca25cbf4'}> +2024-10-29 15:34:50,887 - lightrag - INFO - get_edge:query: + MATCH (source:`CHRISTMAS`)-[r]-(target:`FIGS`) + RETURN r + :result:, ) type='DIRECTED' properties={'keywords': '"seasonal offerings, festive foods"', 'description': '"Figs are highlighted among the festive foods offered during Christmas, enhancing markets."', 'weight': 6.0, 'source_id': 'chunk-99b0ec7f7e006561352b5d65e849611d'}> +2024-10-29 15:34:50,980 - lightrag - INFO - get_edge:query: + MATCH (source:`ORSON`)-[r]-(target:`SCROOGE`) + RETURN r + :result:, ) type='DIRECTED' properties={'keywords': '"family memories, nostalgia"', 'description': '"Same as above, Orson is part of Scrooge\'s memories of his brothers during Christmas time, emphasizing themes of togetherness and nostalgia."', 'weight': 6.0, 'source_id': 'chunk-8590d9263cd2cd4fa583c432fc54e6c3'}> +2024-10-29 15:34:51,072 - lightrag - INFO - get_edge:query: + MATCH (source:`DEATH`)-[r]-(target:`THE FUTURE`) + RETURN r + :result:, ) type='DIRECTED' properties={'keywords': '"consequences of choices, reflection"', 'description': '"The concept of The Future is intricately linked to discussions about Death, pondering the consequences of life\'s choices."', 'weight': 7.0, 'source_id': 'chunk-02baee20cc9463dbe08170a8e1043e32'}> +2024-10-29 15:34:51,168 - lightrag - INFO - get_edge:query: + MATCH (source:`BUSINESSMEN`)-[r]-(target:`SCROOGE`) + RETURN r + :result:, ) type='DIRECTED' properties={'keywords': '"social interactions, superficiality"', 'description': '"Scrooge\'s past interactions with the businessmen are superficial, reflecting his focus on wealth and status rather than meaningful connections."', 'weight': 7.0, 'source_id': 'chunk-f1a4fbcf1ed86864b9bfd5e8dba4c683'}> +2024-10-29 15:34:51,260 - lightrag - INFO - get_edge:query: + MATCH (source:`SCROOGE`)-[r]-(target:`THE CLOCK`) + RETURN r + :result:, ) type='DIRECTED' properties={'keywords': '"time distortion, confusion"', 'description': '"Scrooge\'s interaction with the faulty clock symbolizes his disconnection from time and reality, as he struggles to comprehend his experiences."', 'weight': 6.0, 'source_id': 'chunk-cb661c37436355ccec2769b1d0350c5f'}> +2024-10-29 15:34:51,349 - lightrag - INFO - get_edge:query: + MATCH (source:`SCROOGE`)-[r]-(target:`THE GHOST OF CHRISTMAS YET TO COME`) + RETURN r + :result:, ) type='DIRECTED' properties={'keywords': '"consequences, change""guidance, self-confrontation"', 'description': '"The Ghost guides Scrooge to confront his potential future that threatens his existence.""The Ghost is critical in revealing the consequences of Scrooge\'s life choices, pushing for change."', 'weight': 19.0, 'source_id': 'chunk-91572b3cd42786ba4cb2f180ca25cbf4'}> +2024-10-29 15:34:51,443 - lightrag - INFO - get_edge:query: + MATCH (source:`SCROOGE`)-[r]-(target:`THE REGISTER`) + RETURN r + :result:, ) type='DIRECTED' properties={'keywords': '"responsibility, mourning"', 'description': '"Scrooge\'s connection to The Register reinforces his involvement in Marley\'s death and the responsibilities that follow."', 'weight': 8.0, 'source_id': 'chunk-89777b838d5447c7bd1ec11282c4ee89'}> +2024-10-29 15:34:51,534 - lightrag - INFO - get_edge:query: + MATCH (source:`SCROOGE`)-[r]-(target:`THE CASK`) + RETURN r + :result:, ) type='DIRECTED' properties={'keywords': '"fear, tension"', 'description': '"The Cask is associated with the sounds of chains during the haunting, heightening Scrooge\'s fear and trepidation about the ghostly visit."', 'weight': 8.0, 'source_id': 'chunk-9c43dac2fcd5b578242d907ea6f8fc7b'}> +2024-10-29 15:34:51,629 - lightrag - INFO - get_edge:query: + MATCH (source:`SCROOGE`)-[r]-(target:`THE BELL`) + RETURN r + :result:, ) type='DIRECTED' properties={'keywords': '"foreboding, supernatural"', 'description': '"The Bell\'s movement and sound foreshadow Marley\'s Ghost\'s appearance, enhancing the sense of impending supernatural activity in Scrooge\'s environment."', 'weight': 8.0, 'source_id': 'chunk-9c43dac2fcd5b578242d907ea6f8fc7b'}> +2024-10-29 15:34:51,720 - lightrag - INFO - get_edge:query: + MATCH (source:`SCROOGE`)-[r]-(target:`THE SCHOOLMASTER`) + RETURN r + :result:, ) type='DIRECTED' properties={'keywords': '"authority, discipline"', 'description': '"The Schoolmaster represents authority and discipline in Scrooge\'s early life, influencing his development."', 'weight': 6.0, 'source_id': 'chunk-c6c248858d1b13ab7ee9ca13c1aeed6b'}> +2024-10-29 15:34:51,810 - lightrag - INFO - get_edge:query: + MATCH (source:`FRED`)-[r]-(target:`SCROOGE`) + RETURN r + :result:, ) type='DIRECTED' properties={'keywords': '"family connection, goodwill""family connection, reconciliation""family, transformation""rejection, familial dynamics"', 'description': '"Scrooge and Fred share a familial bond, with Fred expressing goodwill and celebrating Scrooge despite his uncle\'s previous behavior.""Scrooge expresses a desire to visit Fred, which signifies a reconciliatory gesture toward his family.""Scrooge surprises Fred with his unexpected visit, indicating a shift in their familial relationship and Scrooge\'s attitude toward family.""Scrooge\'s interaction with Fred emphasizes his rejection of familial warmth during the Christmas season."', 'weight': 30.0, 'source_id': 'chunk-8f738cb25d60a7dab782162d9d0a25edchunk-94bea83e7153fc2064aa382b494936a1chunk-89777b838d5447c7bd1ec11282c4ee89chunk-e7637ff18c5ded77a68cce0a87883fad'}> +2024-10-29 15:34:51,902 - lightrag - INFO - get_edge:query: + MATCH (source:`IGNORANCE`)-[r]-(target:`SCROOGE`) + RETURN r + :result:, ) type='DIRECTED' properties={'keywords': '"social awareness, warning"', 'description': '"Scrooge is warned about the dangers posed by Ignorance, which embodies significant societal issues he has ignored."', 'weight': 9.0, 'source_id': 'chunk-02baee20cc9463dbe08170a8e1043e32'}> +2024-10-29 15:34:51,994 - lightrag - INFO - get_edge:query: + MATCH (source:`JACOB`)-[r]-(target:`SCROOGE`) + RETURN r + :result:, ) type='DIRECTED' properties={'keywords': '"reflection, past relationship"', 'description': '"Scrooge reflects on his past relationship with Jacob, influenced by feelings of guilt and loss after Jacob\'s death."', 'weight': 8.0, 'source_id': 'chunk-f1a4fbcf1ed86864b9bfd5e8dba4c683'}> +2024-10-29 15:34:52,084 - lightrag - INFO - get_edge:query: + MATCH (source:`CITY`)-[r]-(target:`SCROOGE`) + RETURN r + :result:, ) type='DIRECTED' properties={'keywords': '"indifference, societal critique""societal impact, personal change"', 'description': '"Scrooge experiences the indifference of the City towards his death, illustrating societal apathy.""Scrooge\'s transformation is set against the backdrop of the City, reflecting the societal implications of his personal changes."', 'weight': 15.0, 'source_id': 'chunk-843b5b2f944c7413d9ca876e2e2f151fchunk-02baee20cc9463dbe08170a8e1043e32'}> +2024-10-29 15:34:52,177 - lightrag - INFO - get_edge:query: + MATCH (source:`GHOST OF CHRISTMAS PAST`)-[r]-(target:`THE CITY`) + RETURN r + :result:, ) type='DIRECTED' properties={'keywords': '"transportation, memory"', 'description': '"The Ghost of Christmas Past helps transport Scrooge from The City to a memory of his past, highlighting the contrast between present and memory."', 'weight': 6.0, 'source_id': 'chunk-bb21d58d36c6306fd8810ddd51c4a971'}> +2024-10-29 15:34:52,265 - lightrag - INFO - get_edge:query: + MATCH (source:`CRATCHIT FAMILY`)-[r]-(target:`DEATH`) + RETURN r + :result:, ) type='DIRECTED' properties={'keywords': '"grief, family dynamics"', 'description': '"The death event impacts the Cratchit family deeply, influencing their emotional state and perceptions of hope and kindness."', 'weight': 8.0, 'source_id': 'chunk-83ac129dc9b56f84c46760d153d68e93'}> +2024-10-29 15:34:52,357 - lightrag - INFO - get_edge:query: + MATCH (source:`HOSPITAL`)-[r]-(target:`SPIRIT`) + RETURN r + :result:, ) type='DIRECTED' properties={'keywords': '"care, compassion"', 'description': '"The Spirit uses the Hospital to demonstrate humanity\'s capacity for care and its responsibility towards the sick and needy."', 'weight': 8.0, 'source_id': 'chunk-e7637ff18c5ded77a68cce0a87883fad'}> +2024-10-29 15:34:52,446 - lightrag - INFO - get_edge:query: + MATCH (source:`SCHOOL`)-[r]-(target:`SPIRIT`) + RETURN r + :result:, ) type='DIRECTED' properties={'keywords': '"reflection, nostalgia"', 'description': '"The Spirit leads Scrooge to the School, invoking memories of solitary times that deeply impact his emotional state."', 'weight': 6.0, 'source_id': 'chunk-bb21d58d36c6306fd8810ddd51c4a971'}> +2024-10-29 15:34:52,538 - lightrag - INFO - get_edge:query: + MATCH (source:`MISERY'S REFUGE`)-[r]-(target:`SPIRIT`) + RETURN r + :result:, ) type='DIRECTED' properties={'keywords': '"social awareness, empathy"', 'description': '"The Spirit\'s presence in Misery\'s Refuge underscores the necessity for societal compassion during difficult times."', 'weight': 10.0, 'source_id': 'chunk-e7637ff18c5ded77a68cce0a87883fad'}> +2024-10-29 15:34:52,629 - lightrag - INFO - get_edge:query: + MATCH (source:`SCROOGE`)-[r]-(target:`THE THREE SPIRITS`) + RETURN r + :result:, ) type='DIRECTED' properties={'keywords': '"redemption, transformation"', 'description': '"Scrooge is directly involved in the narrative concerning the Three Spirits who are meant to guide him toward redemption."', 'weight': 9.0, 'source_id': 'chunk-cb661c37436355ccec2769b1d0350c5f'}> +2024-10-29 15:34:52,717 - lightrag - INFO - get_edge:query: + MATCH (source:`SCROOGE`)-[r]-(target:`THE GHOST OF CHRISTMAS FUTURE`) + RETURN r + :result:, ) type='DIRECTED' properties={'keywords': '"consequences, transformation"', 'description': '"The Ghost of Christmas Future reveals the dire consequences of Scrooge\'s current behavior, prompting a desire for change."', 'weight': 8.0, 'source_id': 'chunk-90b95db5c53e4364a6bee36b7aa4d70f'}> +2024-10-29 15:34:52,806 - lightrag - INFO - get_edge:query: + MATCH (source:`SCROOGE`)-[r]-(target:`THE MAIN STREET`) + RETURN r + :result:, ) type='DIRECTED' properties={'keywords': '"social dynamics, personal struggle"', 'description': '"Scrooge\'s experiences on The Main Street during Christmas time reflect his discontent with the surrounding joy and celebrations."', 'weight': 6.0, 'source_id': 'chunk-90d5764e301321c087f5a8f78b73a145'}> +2024-10-29 15:34:52,897 - lightrag - INFO - get_edge:query: + MATCH (source:`SCROOGE`)-[r]-(target:`THE SITTING ROOM`) + RETURN r + :result:, ) type='DIRECTED' properties={'keywords': '"reflection, transformation"', 'description': '"The Sitting Room is where Scrooge reflects on his past and contemplates his future, crucial to his transformation."', 'weight': 8.0, 'source_id': 'chunk-90b95db5c53e4364a6bee36b7aa4d70f'}> +2024-10-29 15:34:52,989 - lightrag - INFO - get_edge:query: + MATCH (source:`SCROOGE`)-[r]-(target:`TOPPER`) + RETURN r + :result:, ) type='DIRECTED' properties={'keywords': '"observation, merriment"', 'description': '"Scrooge observes Topper\'s antics and expressions of joy during the games, revealing a reflection on human nature and merriment."', 'weight': 6.0, 'source_id': 'chunk-43c9bee23adfa77aa9dedd22401bba7d'}> +2024-10-29 15:34:53,082 - lightrag - INFO - get_edge:query: + MATCH (source:`SCROOGE`)-[r]-(target:`STREET`) + RETURN r + :result:, ) type='DIRECTED' properties={'keywords': '"observation, societal critique"', 'description': '"Scrooge observes the Street\'s inhabitants and their interactions, reflecting on his own status and societal detachment."', 'weight': 7.0, 'source_id': 'chunk-f1a4fbcf1ed86864b9bfd5e8dba4c683'}> +2024-10-29 15:34:53,173 - lightrag - INFO - get_edge:query: + MATCH (source:`SCROOGE`)-[r]-(target:`THE CITY`) + RETURN r + :result:, ) type='DIRECTED' properties={'keywords': '"disconnection, personal evolution""reflection, urban life"', 'description': '"Scrooge\'s reflections in the City highlight his relationship with his past and the contrast of his current life.""Scrooge\'s relationship with The City is marked by detachment, representing his lost connection to his past self and experiences."', 'weight': 10.0, 'source_id': 'chunk-bb21d58d36c6306fd8810ddd51c4a971chunk-c6c248858d1b13ab7ee9ca13c1aeed6b'}> +2024-10-29 15:34:53,265 - lightrag - INFO - get_edge:query: + MATCH (source:`SCROOGE`)-[r]-(target:`THE YOUNG GIRL`) + RETURN r + :result:, ) type='DIRECTED' properties={'keywords': '"reflection, lost love"', 'description': '"Scrooge reflects on his past feelings for the Young Girl, recognizing the change in his own spirit and desires over time."', 'weight': 8.0, 'source_id': 'chunk-54bdd22db1f84a965b5f4c06c9216d8d'}> +2024-10-29 15:34:53,357 - lightrag - INFO - get_edge:query: + MATCH (source:`CHRISTMAS`)-[r]-(target:`CHRISTMAS EVE`) + RETURN r + :result:, ) type='DIRECTED' properties={'keywords': '"holiday significance, festive anticipation"', 'description': '"Christmas Eve sets the stage for the events leading to Christmas, amplifying the significance of the holiday in Scrooge\'s transformation."', 'weight': 8.0, 'source_id': 'chunk-74e2466de2f67fd710ef2f20c0a8d9e0'}> +2024-10-29 15:34:53,452 - lightrag - INFO - get_edge:query: + MATCH (source:`CHRISTMAS`)-[r]-(target:`SPANISH ONIONS`) + RETURN r + :result:, ) type='DIRECTED' properties={'keywords': '"culinary tradition, seasonal offerings"', 'description': '"Spanish Onions are part of the seasonal offerings that contribute to the culinary landscape of Christmas."', 'weight': 7.0, 'source_id': 'chunk-99b0ec7f7e006561352b5d65e849611d'}> +2024-10-29 15:34:53,543 - lightrag - INFO - get_edge:query: + MATCH (source:`SCROOGE`)-[r]-(target:`THE COLD`) + RETURN r + :result:, ) type='DIRECTED' properties={'keywords': '"metaphor, emotional state"', 'description': '"The Cold serves as a metaphor for Scrooge\'s emotional state, indicating his lack of warmth and compassion."', 'weight': 8.0, 'source_id': 'chunk-74e2466de2f67fd710ef2f20c0a8d9e0'}> +2024-10-29 15:34:53,639 - lightrag - INFO - get_edge:query: + MATCH (source:`CAMDEN TOWN`)-[r]-(target:`SCROOGE`) + RETURN r + :result:, ) type='DIRECTED' properties={'keywords': '"logistics, festive preparation"', 'description': '"Scrooge mentions Camden Town in relation to the impracticality of delivering a large turkey there."', 'weight': 5.0, 'source_id': 'chunk-8f738cb25d60a7dab782162d9d0a25ed'}> +2024-10-29 15:34:53,731 - lightrag - INFO - get_edge:query: + MATCH (source:`MULTITUDES`)-[r]-(target:`SCROOGE`) + RETURN r + :result:, ) type='DIRECTED' properties={'keywords': '"alienation, introspection"', 'description': '"Scrooge\'s feelings of alienation are heightened as he witnesses the Multitudes, illustrating his inner turmoil and societal disconnect."', 'weight': 8.0, 'source_id': 'chunk-f1a4fbcf1ed86864b9bfd5e8dba4c683'}> +2024-10-29 15:34:53,828 - lightrag - INFO - get_edge:query: + MATCH (source:`LITTLE FAN`)-[r]-(target:`SCROOGE`) + RETURN r + :result:, ) type='DIRECTED' properties={'keywords': '"family, nostalgia"', 'description': '"Little Fan\'s joyful visit emphasizes family love and the nostalgic warmth of childhood memories for Scrooge."', 'weight': 9.0, 'source_id': 'chunk-c6c248858d1b13ab7ee9ca13c1aeed6b'}> +2024-10-29 15:34:53,919 - lightrag - INFO - get_edge:query: + MATCH (source:`SCROOGE`)-[r]-(target:`THE DRESSING-GOWN`) + RETURN r + :result:, ) type='DIRECTED' properties={'keywords': '"characterization, solitude"', 'description': '"The Dressing-Gown emphasizes Scrooge\'s character as a solitary, reclusive man, reinforcing his isolation during the haunting."', 'weight': 7.0, 'source_id': 'chunk-9c43dac2fcd5b578242d907ea6f8fc7b'}> +2024-10-29 15:34:54,013 - lightrag - INFO - get_edge:query: + MATCH (source:`ALMSHOUSE`)-[r]-(target:`SPIRIT`) + RETURN r + :result:, ) type='DIRECTED' properties={'keywords': '"social critique, awareness"', 'description': '"The Spirit shows Scrooge the Almshouse to illustrate the plight of the poor and the societal neglect present during the holiday season."', 'weight': 9.0, 'source_id': 'chunk-e7637ff18c5ded77a68cce0a87883fad'}> +2024-10-29 15:34:54,104 - lightrag - INFO - get_edge:query: + MATCH (source:`SCROOGE`)-[r]-(target:`THE PAST`) + RETURN r + :result:, ) type='DIRECTED' properties={'keywords': '"self-reflection, choices"', 'description': '"Scrooge must acknowledge The Past to understand his current situation and guide his choices for the future."', 'weight': 9.0, 'source_id': 'chunk-91572b3cd42786ba4cb2f180ca25cbf4'}> +2024-10-29 15:34:54,195 - lightrag - INFO - get_edge:query: + MATCH (source:`JOE`)-[r]-(target:`THE WOMAN`) + RETURN r + :result:, ) type='DIRECTED' properties={'keywords': '"dialogue, humor, death""humor, interaction"', 'description': '"Joe and The Woman engage in dialogue about the deceased\'s belongings, showcasing their interactions and differing attitudes towards death.""Joe and The Woman share a humorous exchange about the bed-curtains, reflecting the jovial spirit of the gathering."', 'weight': 12.0, 'source_id': 'chunk-89777b838d5447c7bd1ec11282c4ee89chunk-e1f29eeadc1d8ab46dc8a0bbd3c56b64'}> +2024-10-29 15:34:54,287 - lightrag - INFO - get_edge:query: + MATCH (source:`GHOST OF CHRISTMAS YET TO COME`)-[r]-(target:`SPIRIT`) + RETURN r + :result:, ) type='DIRECTED' properties={'keywords': '"foreshadowing, guidance"', 'description': '"The Spirit is connected to the Ghost of Christmas Yet to Come as both serve to illustrate potential future outcomes for Scrooge."', 'weight': 7.0, 'source_id': 'chunk-02baee20cc9463dbe08170a8e1043e32'}> +2024-10-29 15:34:54,376 - lightrag - INFO - get_edge:query: + MATCH (source:`SCROOGE`)-[r]-(target:`TWELFTH-NIGHT PARTY`) + RETURN r + :result:, ) type='DIRECTED' properties={'keywords': '"celebration, contrast"', 'description': '"The Twelfth-Night Party serves as a representation of festive joy that contrasts with Scrooge\'s initial isolation."', 'weight': 8.0, 'source_id': 'chunk-e7637ff18c5ded77a68cce0a87883fad'}> +2024-10-29 15:34:54,469 - lightrag - INFO - get_edge:query: + MATCH (source:`CHRISTMAS`)-[r]-(target:`SCROOGE'S NEPHEW`) + RETURN r + :result:, ) type='DIRECTED' properties={'keywords': '"advocacy for holiday spirit, family dynamics"', 'description': '"Scrooge\'s Nephew defends the positive aspects of Christmas, contrasting Scrooge\'s view that the holiday is pointless."', 'weight': 9.0, 'source_id': 'chunk-5dac41b3f9eeaf794f0147400b1718cd'}> +2024-10-29 15:34:54,561 - lightrag - INFO - get_edge:query: + MATCH (source:`DEATH`)-[r]-(target:`SCROOGE`) + RETURN r + :result:, ) type='DIRECTED' properties={'keywords': '"existential crisis, contemplation"', 'description': '"Scrooge grapples with the idea of Death as he witnesses the aftermath of The Deceased\'s life, leading to an inner turmoil."', 'weight': 9.0, 'source_id': 'chunk-e1f29eeadc1d8ab46dc8a0bbd3c56b64'}> +2024-10-29 15:34:54,657 - lightrag - INFO - get_edge:query: + MATCH (source:`SCROOGE`)-[r]-(target:`THE COUNTING-HOUSE`) + RETURN r + :result:, ) type='DIRECTED' properties={'keywords': '"work environment, character development""work environment, personality reflection"', 'description': '"Scrooge\'s work environment reflects his personality, being cold and uninviting, mirroring his discontent with life.""The Counting-House is where Scrooge works, illustrating the environment that shapes his bleak personality."', 'weight': 14.0, 'source_id': 'chunk-d9aac3484185ac66045df92214d245d5chunk-74e2466de2f67fd710ef2f20c0a8d9e0'}> +2024-10-29 15:34:54,753 - lightrag - INFO - get_edge:query: + MATCH (source:`GHOST OF CHRISTMAS PAST`)-[r]-(target:`SCROOGE`) + RETURN r + :result:, ) type='DIRECTED' properties={'keywords': '"reflection, past influence"', 'description': '"Scrooge engages with the Ghost of Christmas Past to explore his earlier life, seeking insight into his current state."', 'weight': 8.0, 'source_id': 'chunk-bb21d58d36c6306fd8810ddd51c4a971'}> +2024-10-29 15:34:54,848 - lightrag - INFO - get_edge:query: + MATCH (source:`SCROOGE`)-[r]-(target:`SCROOGE'S NIECE`) + RETURN r + :result:, ) type='DIRECTED' properties={'keywords': '"family bonds, celebration""ideological conflict, family dynamics"', 'description': '"Scrooge\'s Niece expresses indignation towards Scrooge\'s belief that Christmas is a humbug, demonstrating her strong opinions against his views.""Scrooge\'s niece embraces the joyful atmosphere of the celebration, engaging with family and inviting good-natured fun."', 'weight': 15.0, 'source_id': 'chunk-773d0df1dd25c356f7b771d780583e09chunk-43c9bee23adfa77aa9dedd22401bba7d'}> +2024-10-29 15:34:54,945 - lightrag - INFO - get_edge:query: + MATCH (source:`GAOL`)-[r]-(target:`SPIRIT`) + RETURN r + :result:, ) type='DIRECTED' properties={'keywords': '"empowerment, societal change"', 'description': '"The Gaol represents the consequences of societal indifference, highlighted by the Spirit to show the need for empathy and reform."', 'weight': 8.0, 'source_id': 'chunk-e7637ff18c5ded77a68cce0a87883fad'}> +2024-10-29 15:34:55,038 - lightrag - INFO - get_edge:query: + MATCH (source:`SCROOGE`)-[r]-(target:`THE BED`) + RETURN r + :result:, ) type='DIRECTED' properties={'keywords': '"contemplation, mortality"', 'description': '"Scrooge observes The Bed where The Deceased lies, prompting profound thoughts on mortality and regret."', 'weight': 9.0, 'source_id': 'chunk-e1f29eeadc1d8ab46dc8a0bbd3c56b64'}> +2024-10-29 15:34:55,130 - lightrag - INFO - get_edge:query: + MATCH (source:`CHESTNUTS`)-[r]-(target:`CHRISTMAS`) + RETURN r + :result:, ) type='DIRECTED' properties={'keywords': '"festive foods, sensory experiences"', 'description': '"Chestnuts are sold during Christmas, contributing to the sensory experience of the holiday."', 'weight': 8.0, 'source_id': 'chunk-99b0ec7f7e006561352b5d65e849611d'}> +2024-10-29 15:34:55,228 - lightrag - INFO - get_edge:query: + MATCH (source:`GHOST OF CHRISTMAS PRESENT`)-[r]-(target:`SCROOGE`) + RETURN r + :result:, ) type='DIRECTED' properties={'keywords': '"transformation, mentoring"', 'description': '"Scrooge is led by the Ghost of Christmas Present, who teaches him valuable lessons about generosity and compassion."', 'weight': 10.0, 'source_id': 'chunk-843b5b2f944c7413d9ca876e2e2f151f'}> +2024-10-29 15:34:55,316 - lightrag - INFO - get_edge:query: + MATCH (source:`FRIDAY`)-[r]-(target:`SCROOGE`) + RETURN r + :result:, ) type='DIRECTED' properties={'keywords': '"storytelling, childhood memories"', 'description': '"Scrooge\'s mention of Friday signifies his recollection of childhood stories and influences during Christmas time."', 'weight': 5.0, 'source_id': 'chunk-8590d9263cd2cd4fa583c432fc54e6c3'}> +2024-10-29 15:34:55,403 - lightrag - INFO - get_edge:query: + MATCH (source:`SCROOGE`)-[r]-(target:`THE PEOPLE`) + RETURN r + :result:, ) type='DIRECTED' properties={'keywords': '"community, joy"', 'description': '"Scrooge greets The People he encounters with joy and a newfound delight, signaling his welcome transformation."', 'weight': 8.0, 'source_id': 'chunk-8f738cb25d60a7dab782162d9d0a25ed'}> +2024-10-29 15:34:55,492 - lightrag - INFO - get_edge:query: + MATCH (source:`GHOST`)-[r]-(target:`IGNORANCE`) + RETURN r + :result:, ) type='DIRECTED' properties={'keywords': '"societal issues, responsibility"', 'description': '"The Ghost presents Ignorance to Scrooge as a representation of societal neglect and a call for responsibility from humanity."', 'weight': 8.0, 'source_id': 'chunk-e7637ff18c5ded77a68cce0a87883fad'}> +2024-10-29 15:34:55,579 - lightrag - INFO - get_edge:query: + MATCH (source:`MARLEY`)-[r]-(target:`SCROOGE`) + RETURN r + :result:, ) type='DIRECTED' properties={'keywords': '"mourning, partnership""past influence, personal history""redemption, confrontation""supernatural connection, past relationships"', 'description': '"Marley’s influence and past relationship with Scrooge is indicated, suggesting a connection that impacts Scrooge\'s character growth.""Scrooge is deeply affected by Marley\'s death, illustrated through his role as the sole executor and mourner of Marley.""Scrooge reflects on Marley, revealing his past connection and the haunting aspect of Marley\'s death, which influences Scrooge\'s character arc.""Scrooge\'s encounter with Marley’s Ghost serves as a confrontation with his past self and the life choices he regrets, depicting the theme of redemption."', 'weight': 32.0, 'source_id': 'chunk-d9aac3484185ac66045df92214d245d5chunk-843b5b2f944c7413d9ca876e2e2f151fchunk-89777b838d5447c7bd1ec11282c4ee89chunk-9c43dac2fcd5b578242d907ea6f8fc7b'}> +2024-10-29 15:34:55,671 - lightrag - INFO - get_edge:query: + MATCH (source:`MARLEY'S GHOST`)-[r]-(target:`SCROOGE`) + RETURN r + :result:, ) type='DIRECTED' properties={'keywords': '"supernatural confrontation, regret""warning, fate"', 'description': '"Marley\'s Ghost warns Scrooge about the consequences of his actions and the visits of the three spirits, setting the stage for his transformation.""Scrooge is haunted by Marley\'s Ghost, which confronts him as a part of a supernatural occurrence meant to incite fear and reflection on his life choices."', 'weight': 18.0, 'source_id': 'chunk-9c43dac2fcd5b578242d907ea6f8fc7bchunk-cb661c37436355ccec2769b1d0350c5f'}> +2024-10-29 15:34:55,763 - lightrag - INFO - get_edge:query: + MATCH (source:`CHRISTMAS`)-[r]-(target:`SCROOGE`) + RETURN r + :result:, ) type='DIRECTED' properties={'keywords': '"character development, festive spirit""conflict, holiday spirit""contrast, seasonal significance""disconnection, festive spirit""holiday significance, reflection""reflection, redemption""seasonal significance, emotional reflection""transformation, festive spirit""transformation, holiday significance""transformation, holiday spirit"', 'description': '"Christmas is a central theme that invokes Scrooge\'s memories of his past, his feelings of loneliness, and his desire to connect.""Christmas serves as a focal point for Scrooge\'s emotional reflections on joy and his disconnect from societal celebrations.""Christmas serves as the catalyst for Scrooge\'s transformation, highlighting themes of giving and compassion.""Scrooge expresses disdain for Christmas, viewing it as a burden rather than a celebration.""Scrooge\'s attitude towards Christmas highlights his disconnection from the festive spirit and charity associated with the holiday.""Scrooge\'s character contrasts sharply with the joy of Christmas, highlighting his disdain for the festive season.""Scrooge\'s experience during the Christmas event highlights the transformation of his character and the spirit of the holiday.""Scrooge\'s journey with the Spirit ultimately leads him to reflect on the meaning of Christmas and its impact on human connections.""Scrooge\'s transformation and newfound joy are directly linked to the spirit of Christmas.""Scrooge\'s transformation is centered around the spirit of Christmas, which he learns to embrace and celebrate.""Scrooge\'s views on Christmas evolve as he witnesses the joy and familial love associated with the holiday, marking a shift in his character."', 'weight': 95.0, 'source_id': 'chunk-91614df5cb74cbe5e109a338a82041e9chunk-8f738cb25d60a7dab782162d9d0a25edchunk-e7637ff18c5ded77a68cce0a87883fadchunk-8590d9263cd2cd4fa583c432fc54e6c3chunk-54bdd22db1f84a965b5f4c06c9216d8dchunk-90d5764e301321c087f5a8f78b73a145chunk-da2472b4ef2a535b62908f14d0fb0ca9chunk-94bea83e7153fc2064aa382b494936a1chunk-89777b838d5447c7bd1ec11282c4ee89chunk-99b0ec7f7e006561352b5d65e849611dchunk-74e2466de2f67fd710ef2f20c0a8d9e0'}> +2024-10-29 15:34:55,856 - lightrag - INFO - get_edge:query: + MATCH (source:`POVERTY`)-[r]-(target:`WEALTH`) + RETURN r + :result:, ) type='DIRECTED' properties={'keywords': '"contrast, societal norms"', 'description': '"Wealth is juxtaposed against poverty, emphasizing the harsh realities faced by those consumed by the pursuit of money."', 'weight': 7.0, 'source_id': 'chunk-b2f98bc7abb0c67d4c86055c7fd72218'}> +2024-10-29 15:34:55,947 - lightrag - INFO - get_edge:query: + MATCH (source:`SCROOGE`)-[r]-(target:`WANT`) + RETURN r + :result:, ) type='DIRECTED' properties={'keywords': '"social critique, consequences"', 'description': '"Scrooge is shown the consequences of Want, reflecting on the impacts of desire and neglect in society."', 'weight': 9.0, 'source_id': 'chunk-02baee20cc9463dbe08170a8e1043e32'}> +2024-10-29 15:34:56,038 - lightrag - INFO - get_edge:query: + MATCH (source:`GHOST`)-[r]-(target:`HUMANITY`) + RETURN r + :result:, ) type='DIRECTED' properties={'keywords': '"social consciousness, humanitarian appeal"', 'description': '"The Ghost symbolizes humanity\'s need for introspection and change, urging Scrooge to recognize and act upon social issues."', 'weight': 9.0, 'source_id': 'chunk-e7637ff18c5ded77a68cce0a87883fad'}> +2024-10-29 15:34:56,129 - lightrag - INFO - get_edge:query: + MATCH (source:`FROST`)-[r]-(target:`SCROOGE`) + RETURN r + :result:, ) type='DIRECTED' properties={'keywords': '"atmospheric condition, characterization"', 'description': '"Frost enhances the chilling atmosphere around Scrooge\'s life and mindset, reflecting his cold character."', 'weight': 8.0, 'source_id': 'chunk-d9aac3484185ac66045df92214d245d5'}> diff --git a/neo4jWorkDir/vdb_chunks.json b/neo4jWorkDir/vdb_chunks.json new file mode 100644 index 00000000..02b9e777 --- /dev/null +++ b/neo4jWorkDir/vdb_chunks.json @@ -0,0 +1 @@ +{"embedding_dim": 1536, "data": [{"__id__": "chunk-9e3921da66da5d761ab73cd849af6c43"}, {"__id__": "chunk-89777b838d5447c7bd1ec11282c4ee89"}, {"__id__": "chunk-74e2466de2f67fd710ef2f20c0a8d9e0"}, {"__id__": "chunk-5dac41b3f9eeaf794f0147400b1718cd"}, {"__id__": "chunk-90d5764e301321c087f5a8f78b73a145"}, {"__id__": 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QCb39SxQ9CrVmPSAGLj038eK81cPVvCqIEDuhORc7wf9BvGMgDjwLAmk8m2uJPRUEFzu1/So8pKDSOtQDBz3uSCa9EAPAvLt+NjpCpve7B87fO2MgDruFzb88Xh+3vKmhKbwN3J67RnScvMl0vLxiEyY7svzTPBaRs7v6ZI092QTHPIgnKrw9vwc9WMT1PErbV7uDs287r+IaPLpxzrvM2w487XtYvGquarq/Zb08DlzTOjwyVDtZ3sW8ebFYOhCDizu3PcU8i1szPeFf8bo8cgW7/pj/PGYHlbxS0B09tXD3vDHjurweeRE8n58SPIc0kjyvouk7Mz0lO9rRlLy3Cvw7HFJZPK5VZ72ZER+8twoTPPBi37uG54+8SmgLvetuB70KaGQ7sYmHO0mbPT21cHe8StvXPFUq8bxUnVS8eX4mPHEWlLwaOCC9SlujPCl7KDxO3K48MrAIvFxFmDogE5Y8jw8IveDfvLz7sfg88OKqvBzfDLyETQs8970gPEjOBjyS9o48ebFYvHIW/TwSncQ8mDcAPOKs8zxbODC9v2U9PMOmrrvnrUo8cMmRvNVDITyZkdO8BTTbPOFf8Txd0jQ9aOEzPbVwDjwlB+47Bw6RO3mxWLwlhzm8lzfpPJRQ4jzy/GO7ujG0PLpxzrwCjYU7MnBXPJI2qbyZ0e07whmSuzYkrLxWt6Q7cmMWPOYtFj1aq5M7YDmHPD5MJL3J9PC7hhrCu6dHvzyKTss8/pj/u8k0IjxMApC8bNUiPINmbTz5V6W8IEZIvSq7wrwwFoS7d+ShvIIm07w98jm9czDNvFZ3c7vLwT67WRF4vPukJzwdLA+9GB5QvK5V5zzW3aU7lzeAPPFvR7y1vZC8AcA3PMYNgbubnjs8VXcKveFfCL0fuSs57Tu+u5YqGD0rVce8wH+NvPux+DzzCUw9mx4HveohBTxslXE7TtyuuyKTyryzVr489jBtPP1LlDzPAjC7DpxtPA4cubtaK0g8nlKQPAMaIr1Owt68iQHJPGjhMz02ZMY7rQhlvTkLszySNim9216xPDcxFDsPNok8x83PO5z4pbzyr2E8UgPQuptr8rweeZG7rQjlu/J8L7rrrqE7MnDXu9kExz2/Zb08AsC3unq+QD02pOA85NMrvCxirzsFdIw89Ba0PK7VMr3vSCa8znWTvPYjHD3rrqE8nlKQu2YHFbxBM6u984kXvagUjbyIgRS77shavPI8lbzfxWy8eDEkvSZUcDtaK8i7BvTAPLRwDr07JQM9/f56PQibLT3C2WA84jknPfc91Ty518k7KxUtu3JjFr01V168ZS1fvNuRYzyTA+C75eCTOjoYGzxJm728BTTbPO172LqLKAG8G9KkOytVR7uJgf07bm8nPIDM6DiVnWS8UkPqvNDC/jtz8LK7lNCtPC9JNj2QHFk9OpjPPFOQbLt6/lq6rZUYvc0bKbwSXSo9LCKVOwEzG7yk4IM8UfZnPGB5oTvBP1w8PT88PR1sqby9mIY7YyAOPf+YFr1HwR69MIlQPJyrozpW9z49/D4svO+VqLyz1vK88W/HvIYaQrzh7CS9chYUvE3CXjqzI4w8o9MbPAPaB7pO3K68MInQOx6swzuCs4Y8dP2aPEEzqzy5JMy8JlRwvK2VmLwQ6e88DpztO5e3NDy7Phw9w5nGPA+2vTqsyEo7hU30vG3i87xXRMG8KrtCvIAZgjuINPu84N+8PKMGTrymOte8Q0D8Oa6iAD1ooRk8A5pWvXXK0Tz0lui7BSeKu9Hczjvjhqm8r6JpvN8Shjwo7gs9J+GjOAYBqbsaRQi8tbAoPB/5xTs5S0073xKGPJc3ADsU9648X9+cPHmx2LzeBZ67Tg9hvTKwCL3Ljow6XZIavHT9mryfn5I8664hu/Yw7bu5pBe8JAcFPJUQyDtEjf68H8aTPKhUp7tq++y8CJstvFTdbryBZgQ7/UsUPQ+c7bxixqM7dpcfvGo7nrzKQQq9p7oiO94FHj1LtY08hzSSvCvVezyLWzM9kJwkvRzfDL3X6g08sDyFPBIdkLy18MI8tbAoPOFfiDvPwpW8JXrRPBPQ9rwPtj29UOkWvBDpbzrm4Py74N+8PGdUFz3eBZ68m6ujvAQnCr2rbuC6qu4rPWb6rDtGNII8znX8vJAcWbvdeAG7TPWnvQgbYrz01pk82tEUOQcOEbzfkro7hE2LvEhB07uJAck7ZK0qPOUgrrvJNCK9vIueO0qoJbolVIe8pCCePANaPD2vYs87I7oCPO8VXb0BQIM8kA8IPGFG2DwzvVm8JtS7vB854LyIJyo87lWOubnkMTyZER+7gZk2O2mu6jxKWyO8Xt8cPRDpbzt2VwW8DikhPb4YuzwGwQ67ZXphPJXdlTyqrpG85cbDvBQd+burO667ykFzPA5pO7yZ0QS9NArcPGkuNrsImy07BjRbvHS9ALwLAoC8CFuTPLEJPDxtlXG8whkSPalUJ71mx2O9viWjvDrYALyqrpE8aKEZvNT2Hj3DJuM6q3vIO8daA71XEQ+8tf2qPMrBPr0116m7+7EPu1H2Z71YUSm8hE2LuzAWBD1eH7e81cPVPE2CxLsSHRC9lRBIPJgENzzieUE8eDEkOwIAUjo+TCQ80RwAPeCfojsDmtY87LsJPQUnCjwuPE68RNoXPFrrLbwcBde7FB35u2yViDtv/EO8LKJJPHvYELnk0ys8EIMLvWRtkLzWXdq7pvo8ulgReDqLm0086iGFPI5Cujyr+5M8QFn1vPkKI7wQwyW9KXuou/AiRbw4PuU6tKPAu/2LrjsMj5y7CFuTPJQQSD0Mjxy6EOnvPGaHSTxIDqE8KTsOvD7/ITyYhAI9HN+MvDak4Ly4l687l6pMvH9MNDylbaA8e1jFPOP59bwWkbO7M/2KvMwbqbv9iy48iQHJPJ6SKjsMAgA90+k2vOy7CTwDjYW8e9iQPCvVEj2W3RU87XtYO9BPsrvj+fW7BGekO8SzlrzJ9Ic7FB15vDAWhLptYj+8IqCyPEKALb1LKNo7K1VHvSWHObxjIA687lWOPC/Jgb1UEDi8Eh0QPAwPUbyaHgc8aKGZPLnXSTwcHye7lJATvYWajTzv1UK9uFd+vJfqZrwDjYW8Z1SXPJ8fR7tAmSY8E2oSvSUH7rwe7F28+MrxvDRKDT2f0sQ7vzKLvHXK0TzH2re7zcKkPP2okDznyUi966uPPN4iobwTDLw8vFB7vJo4QLzXBtG7MCHIvHIENT09hQm9J2jzvPTDGjz5MDk9ehVMPE49SLwrtKk8CvskvNYr/jxQris9qIpUPNZpTLuVjdM8BXxZvOXUgT2ulHc8r3qDu1VZmD3d3d47uSifvCemwbzHTpI8AA87POCBVzzxd2S8t/UJvfnGybzJFzi73hD0vLaEJrsU4Jq9L8IRu1w3mrzeEHQ8i7OWvLdNTD2lurq8OHCtPH6NIz3grfi7ODLfPGlLYLzAcBA92UuTvRTV4bz9akK9pbq6u0N9fzx+ucS7HcwEPZUuHTxo7Cm9rTVBvfFLw7wln828ekHtu75pHD1hZmq9H2mJvAJCUD3P9Tk9CifGvNl3tLsRrYW92Tlmu6aVjTxwNJs8rQmgvP4zaLx3ryE8wDJCvDOZHzgrtKm8xtL1u9R0BTvR0Ay9u/FEO61zjzxOexY7BSQXvFw3GjvlahK79C0KvZJ/az0CFi+9dwfkvAnIDz1iA++8Si9gvB9pCT1zN0q8E3aruw5hz7xMYnU9yIEnPRoW37yyDM+8GA/rvOAplbxVsdq9BVA4PBZGxbwJikE9Qh7JvDvWVz340YK8biJuPZW5dLyidXg820DaPAwuurx/wLg7Jcvuu357drskQJe6oazSPFeMLT36BBg9J2jzu2a5FD3iXCq9LBPgvO57qbxrvMO8KqL8PDjanLz0Was7ms5QPPLzgD2A/oa8gziQvbkWcrxtAQa9cL/yO7EXiD1HABC7lBxwO6ZXP71InRS9j+2fuwcrizz2TnI8U6pmPH5hgjxWwwe8urP2u22F6TwzW1G9xZ/gux+D/bv2TnK8w2zLPO+CHT3FNXG8TDZUPa3L0bqaBSu9oOOsu19xo7vCOba80sVTvfv53jwR2Sa74yXQvAqRtbuMsxa8KdlWvYHHLDz5iHs8jRJNu3+UFz22sMe7BIcSvVPotDs3PZg8zH1iO8ityDxibd48np7qOq338jxvyqu7Do3wurZGWDuA/gY7nnLJvOIwiT2349w8ANFsu5afgDszAw89P04vPViToTzWK346JZ/NPMhVBj1QnP486JJuPTc9mLsF5si87N4kPemkG71EUV68piuePMBeY7xy2BM6MckFPJfSlTwWGiS89mCfPbvFozwHwRs9+poovBi3KDssJY08kV6DvNxzbzxEYwu92TnmPDp3obtmPXg9HWIVveJKfb0F5ki9FX2fvCKRZTsYt6i7SAeEvPYi0TvfjJA8uy8TvbZYhTxYv0I8rQkgPCU1Xr3JFzg9rffyvA6NcL2GYOy8XLv9O6Ukqj0zh3K6cL9yPWiCOjzgk4S9SToZuloEhbvRkr68Gx1TPe8YLr1w/cA6RFHeO2jsqbxHM6W7PH4VPYsdBr1VsVo8+m6HPLdNzDwikWU8wxSJuqYrHju0fTI7j+2fPMhD2bwWsDQ5XZbQvHM3Sj25KJ+8rQkgvKUS/TwRPKI8GLcoPa6Ud7yhVJC9fnt2PHlMprzeuLE80ZI+PYQt17vcc+88r5T3uwRJxLs4Bj48qmWnPI+v0bymg2C8zzMIO8AywrsATYm8dKE5PfqaqLvNWLW8SWY6PTvWV7yjHTY9sqJfvMx94rzn9em7Zj34vFMmAz2x2bk8wF7jvGID77t034c8i9+3vDwUpj3Pt2u7fvcSO0Lg+ryQ9JO7o1uEO7nqUL2EATY99FkrvAW6pzwREAE8H4P9u+XC1Lp0obk8yRc4vNNtEb0nPNI8fFoOPd0bLb16IAW87xiuu/qaKLuP7R88ThEnvc8hWzylujq8aV2NOvYi0byN1P47HC+AvBHHeTwf/xm9wncEPMityDwAO1y8A+oNPT8iDr2hFsK8zYTWvFe4TjsPKvU8ZKBzPc+Wgz3AcJA9OqPCvJ6eajyP7Z88IPTgPGpdDbwR2SY8K4iIPOygVrxCXBc9skqdPFVZGLrxd2Q9ERABvH8Ye7ypnAG84sYZutKZMr1tAQY9Kx6Zu7W7gLwAsIQ9JNanPNnarzswyQW96Q6LO7nq0LyZb5o8H4P9PMU1cTwQEIE8sqLfu8y7ML2tNUG9MPWmPN2xPbz4v9W8WCkyvHWorT3i8ro7+L9Vu1NSJD2ca9U8OHCtu/ZgH7yLN/q8lbn0PE6nN7w8fhW7poNgvVu7fbzjjz+6lMStO2v6ET1t71i8PQltO+UsxLy0qVM91iv+u4CUlzzWpxq8gcesvNQKFr3W07u60wMivata7rwMLjo9urP2PIl5jbzdsT09B+08vQpT57urWu68UIKKvE57Fj30wxq7E3YrvRwvgL16Qe070b5fvSYJPb0AeSq8hdUUO+JK/TwT4Bq8S9edvRHSsrtjQT28kr25vEX5mzxmPfi7TQqzPFOq5rzggde8YQ6oPMBeY703pwc97HQ1Pe5PiDyl+Ig8PyKOvTZpuTtuIm69l2gmPXyGrzyLs5Y8D8s+PBZyZj2gTZw8sDF8vO+CnbzUYlg96AcXPGIDb71B67M8Z9p8PBwvgDuvEJS82+iXvL02Bz3K4N28Os/jO2lLYLwP/lO8EdKyO++Cnb3s3qS94vK6vLJ2Prw2abm8dWpfvaBNnLwHV6y8V7jOvHzecbygeT08P+S/PDzoBD1YgfS87HS1vK96AzwusGQ7HeZ4O6tabjyWVnk8w9a6vBuHQrwmCb086GbNOuMl0LyNUBu7oA/OvDgGPj0KU+e7ZhFXO+XUgbsJyI+7gybjPNt+qDzMJaA626rJvKClXrz+M2i8Ea0FPdY9Kz20qVM9Wh75PNxzb7oAO1w9vFD7vLyOybr4/SM8l/62vOzeJDwA0Ww8uy+TO6N1+LogXlC85/XpvOCt+DuA/ga9yOQiuQn0MDscLwA9H1fcvFVH67xpia48WIF0PMqImzzl1AG7iwtZvcNsyzxQGJs6GHlaPZJ/a7wRx3m9B0X/vM0aZzyqvWm6JEAXOjBN6bzCOba84OvGvG0BBj3B+2c8xZ/guvMmlryvlHe7wF5jPV0AQL1MbS48FRMwPYbK27wioxK9O2xovUlmOj205yE7RH3/PIVrpTygtwu80WadPDUkd7x5eEe9S20uvepBoDwlNV67LOc+Pbawxzx4g4C8vCTaO3m2Fbtd+cs8cm4kPCD0YDwOYU88CfQwO+zepDx6f7u85/XpO0bu4jsavpw8X53EvLqz9rvhVTa8tKlTPabBLr2cqaM6FalAvOIe3LxGwsE8iA+evGN/izzAnDE9jRJNvCD0YL3ZS5M785CFPBHSMry7mQK9GYuHPAq91rxMYnU8Y38LvU10Irt328K85SzEPAnIj7qy4K273uTSu8q0vLuXVnk7TaDDPEmkCD0/uB47UNrMvELyp7tHX8a8HWKVu24ibrttWUg7ZrmUu8xRQT1czSq9Am7xPEmSWzwO91+8KqJ8vGv6ET307zs9eQ5YvQTxgbpL1x095SzEPIhnYD2ytIy89Fkru+cHlzr/B8e8PBSmvD3dSzzW/1w8RfkbOwqRtTw8QEe9KQX4PK338rxaBAU8HPGxu55yybtOESe8oVSQvKN1eLozLzA7wDJCPBhNuTxNSIE8FNXhPHiDAL3lahK9GqxvvIZg7Duydr47cL9yPMAGITv9PiG95M2NvKXmW7zqQSA9AA87vIY0SzxJZjo8OHCtvBq+HD3qQSA9KQX4vIsdBrwKvVa96qQbvHV1mDtC4Pq8czfKvTaVWjvvgh29bS2nvN3vC7znnSe95ZazvGE6SbyQiiQ9dwdkOhTVYby8Yqi744+/PP9xNj2s1oo7fo0jvUX5mzxL1507P7ievDts6Dv7N607qs+WPJdoJjyqJ9m8IpyevBoWXz3c6Be8QeuzOzvWV7vH5CK8cm4kPSt227xoVpk7aV0NuzgGvrxibV69np5qPCnrA7xZZ4A8Hys7OnoghTx/95I6mjjAvAdXLL2oitS7JEAXvOoD0rzB++e8FtzVvHTfB71TUiQ8IjmjuxuHQjyQ4ua87Wl8vLuZAjxrvMO8BN/UvMlVBrt+YYI8tKlTPNU2Nzyh6qC8LiwBu74rzjsOnx28oVSQPDAhyDyDJmO8Awv2u7SpUztfPg48wc9GPN4ioTuK2EO8MMkFPdk55rwiOSM8ClNnvNG+3zus1oo78eHTPFbDh7zPt2s7pRJ9PDOH8jy39Qm9rZ+wvFf2nLy9Nge9qr1pPBaEE7v0LYo8BElEvAftPDz5xsm8ADvcOzBNabvju+C97nspPLQTw7xEJb28FnJmOwnIDz1N3pG8NsF7O9m1gryrLs287xiuOvpuBz2pnIE8MckFPGsmszx6IIU8WP0QPHCTUbzbFLm8VUfrun8Ye7qks0Y8jdR+vGFm6rytcw+8er2JvMBeYzzK8oq8o4elPDenB70uwpE7OnehOwSHkryPgzC8M2YKPLqz9rz0G125yuBduqNJVzx5thU95ZazvKW6Orsy/Bq63RstOyseGbsDC3Y8u5kCvXShOTw2wXu7V05fvV7Unjzv2t88XtQePRFDFrxorts7KYGUOxCmEb1hZuq7QsaGvGR00rw4RAy8gcesONMDorzW/9y7fk9VvPTvO7y23Oi81qeau3ShuTvHTpK8P3rQO2QVnLyDOBA9H/+ZvAvPA72vPLW80VTwOpwB5jzxS8O8oRZCvTNmCjlMYvW7ox02PR+VqrzmAKO8TDbUPL7TC7ztafw8u5kCPHVq3zzOlgM9rXMPvSnZVjr5xkm9FT/RvK8x/DpuAQa8aOwpuq1zjzvRvt88M2YKPLbuFT1aBIU8j4OwOtxz77sYIZg8hwgqvJnZibsW7oK8nzvvu+kOC7waKAy6BY4GPWF4lzxJpAi9f42jPE/lhT06DTK8LOc+O89fqbxVR+u7ZEgxPH/s2TswTem8kOJmvEnQqTsprTW8l9IVPQ9ow7hTUqQ6/QBTvMe4AbwD6o08ms7QvMznUbzgVTa9bZeWO702B73TbRE7M8XAu5xr1bwmRws9B4PNPD2xKj2056G7ZEixvHHRHzzdsT28Aqy/vEaWoDurZSc8/3G2PEbCQboARhW7bmA8vMhv+jxBVSO9yFWGvCEGjju9zBe8rTVBPGjsqTvzkAW8LCUNvdnaL70Tdqs8xTVxvKo5hryLrCI8sReIvGIDb7uZ2Qk9i4ABPasuzbz2TvI8DFpbPWSyoLziHly7en+7PNSgJjyrAiw9ioABvPUtCrxjf4s8JGw4Pb3Ml7srHpm8FNXhuygQMTy27pU8H/8ZPaUSfTyy4K08xQlQPD+4njoEszM7Ncw0PF/bErwEScQ8VUfrPARJRDxQRLy8xBSJPELGhrzUdAW65VjlPEvF8LxrZAG7D/5TPEN9f7ztaXy8Tj3IvAm24jq6s/Y7iZp1PGjAiD3vgp281hEKPSYJvbtk3sE7yogbO1K1H71fyWU7wxSJOoP6QTrCd4S8J6bBvBOizLsxKLw8R/XWvELger0KZZQ8+CnFvGjAiDwPCY08dKG5PMKjJTjcc288lBzwO/jRgjwaFt88Zj34vMOYbDwf/xm9GHnaPKGs0jwJyA88Y9dNPIpCMzwpBfi7X0UCPYoWEj3iHtw8wmVXvHpB7TtaBIU8kr05vGhWmTsbHVM8aYmuPMjrljxQris8i0IzushVBr3oZk08w5jsOSWfzbzMu7C6tyGrvDU2JDq56tA844+/u57cuDw9G5o8RgCQPGsms7ygD868QuD6O1zNKj0gyD88+gSYPOjQPLxOexY8kF4DPZJTSjx8Wg69cgQ1vU2gQ70WhBM781I3vKj0wzwONS69NsH7vKBNnDuhrNK5kunauzgy37ym+Ai8DGyIu6icAT2Bid68xTVxPPtjzrzR0Ay9TUiBvNGSvjrAcBA8B1esvFyP3LwuhEM8G4dCvNRiWD2rWu687bKDvOTNjTyqvek8GLeouwxsiDz/B0c7H4N9vPmTNLwarO88RiwxvKsCrDxcNxo9nBMTPIjRTzzKSk28JzzSPHJCgzwPCY28+CnFuydo8zwHwRs9HC8AvchD2TxtLSe9KqL8PFhVU7vsSJS7wZwxPHZ8jLqNqF085WqSu3Jc97xHi2c7sDH8vF0AQLrkzY08R1/Gu5K9uT3o/N07FtzVu7zxxDzZDUU9SqQIvIM4kLyBMRw9gbV/vADRbLzI6xa9VRvKu/0SgLtujN27ZKDzPAKAnryULp29LCUNvLZYBTznMzg84FW2vPNSN7zszPe674IdvUkobDzCOba8RbtNOnLYE72qOYY8DvffPE6nNz0ADzu8HSTHPAdFfzzOloO82TlmO/Efojzv7Iy7GlStvK01wTujWwS8GygMu73MlzyG3Ai8JzxSPRtbobo+hQm8ZLKgPMlVBjwrHpk8OjlTu8oerDtiA288JC5qvOf16TzIrUg7JnOsvBqs7zzNwqQ8eqvcPIbciDwFJBe8lp+AvJlvmjx0dZg8fN5xPNk5ZrxVR2s8nAFmPBGtBbty2JM7dRIdPXCTUTtuIm48PbGqvO1pfLzrq487oA/OurxQ+7yGYGw8XzPVu/F3ZL1vnoq89FkrvF0AwLx8Wg68FNVhOlNSpDsmRws9a2SBOsKjpTilUMu8XtQePWSrrDwnR4s8fmECPIGJXjyljhm8LLSpu48Zwbxvnoq8ME3pOxvFkLvbUoc7vsHePEnQqbn7Ny28zH1ivEczJby5KB+8FanAvE10IjucE5M6PXNcPLawxzx66Sq9q2UnvB//GT3DoyW8qidZvc3uxTziHty7SwO/vCmtNTx8hq+8fxh7u010Ijxu9kw9pRJ9ui5Yojy9zBc8AOOZPGfafDwTdqu8thq3vOczuDswt9g7Y0G9PKWOmToTosy8b54Ku4bcCLwA0Ww8xTXxO0IeSTvo0Dw8Ezjdu2+eiruaOMA60VTwPBpUrbvMjw+69FkrPDwUJjyUxC29+Ov2vCyICL1z+Xu8QVUjPNKZMr3a4SO8dXyMvC7uMrw/5D+8fxh7uuwKxjxSDWK834yQvApT5zv9EgA84/kuvfPox7yLC9k8GCEYvIZg7LxfcSM8qIrUPIma9TpRGBu8zVi1u49FYrzuPdu8V2AMvGN/CzwEHSO8RgCQOxtJ9DwRQ5a81MzHvIHzTbzlWGU7McmFPfsLDLzPt2s8mmRhvCseGbypnAE8eKRovfOQBb3b1uo8UuHAO8rg3bz1LQq8nNVEvL02BztpXQ09fxj7vOrXMLytNUG9YQ6ovE2gQ72js8a8WL/CPG4ibjwi+9Q8U1KkPK33cr0V5447kLZFO6iK1DwbHVO7MCHIvAAPO7zS8XQ8mcdcvMqIm7vqA9K77HS1Oz2FCT3kzQ28+ZooPVVZGDtVsdq8zSwUukvXnbpmPXi5U6pmPIma9TwnPFK9bzQbve9ETzxVWRg8PoWJPFXDBz1NCrO8ImXEPIsL2bw2lVq8oazSO7xiKLySU0q8SToZPe7lmDyQ4ma7Ym3ePHkgBb1amhW9Wh75vD6FCbz0sW27BElEvJt2Dj0zAw+8dxmRPCkXJb2BMRy74h7cuSRsOL3Z4SM7V+TvvF35S73KiJu5OdocPNtSBz3b1uq84ZMEPMoM/7hfB7S8SToZPY+vUTymK566SQeEO8dOEr0JtuI7GHnaPPmIe7x8slA8tLsAPbqzdjy88cQ8mfP9PB3m+LtybiS8NTakPDb/STtn2ny8ERABPK9o1jszL7A8UNrMvJTwTrzRkr68ze7FvG2XFjt98J67IMi/u4XVlDxyQgM74FU2vTyqNrzYrg69Heb4uTH8mrzAcJA87EiUPCJlRDuP7R88q1puPGvo5Dy3Iau8nhoHPZmbO7yh6iA8lPDOPP0SADvao1U8EaaROsU18bxBVaM8vtMLvD9OrzzZ2q+7frlEPMzn0bxF+Ru8rTVBuyZzLLxJKGw8OJzOPLnqUDwQEIE8DC66u4D+BjwRBci7X8lluiqi/Ln0G128dagtO4XVFL3Eqpk6Jt2bPID+Br0CbvE7QvInOw7LvrxqH7+8WgSFPPNSN70cL4A8Fu4CvQ7LvrsFjga8qvu3PBHZJr3lAKO7nGvVvMJ3BDyiVJC6U+i0uuwKxjz+nde7jroKvbS7AD0zAw+95zO4ukKIuLz0se28i7OWPFAYm7tMYvU6ctiTvFbDh7yhrFK8nAFmvFCc/jxrUlS5IpHlvLJKnTx3B+Q8mbonORlhbjxfVPm89jbVPMYxCTzHjwS9MBvJvK+hxbulCpy8GcaKvOngCD3e7g+9pRcVvZgYIz3rYXo9mZ2JvBivxLuB/SA90/LJOryTPj32lFA8MEVgPGs2zbnfk8A867L8vCWEHz3r81m8pfCpPOp77D1ID+A7Uu6HvDCGvbwM7oM8jTbPPIKfJTxSMhG7PF5EvQLYS707Qaa70+8dvRm5kbz28ku9dlLdO/V0hrxS+4A5I56RvOp7bD3rRNy7jDMjPN8YJz2ZKMi8PIUvPekKoLyvqxI9AuKYvWuUSL12TzG9Uq0qOV4Ay7sBMxu9doZBPY2el7swvc28RkCYvDv9nDy7/jK8L4MRPQL16TwwXCa9pVT9vHYBWz28Dlg9DYY7vI4p1juwkSC9U+S6PF/m2DwZN9c8jrFoPI6+4by8zfo8I1oIvbxS4bxfr0i8GfAhvXbkPLwwYn68r108PdJAIDsvgxG9sNhVPesdcbyMxQK9gpIsverTDz3f/jS9r108vUdQPTtfWxo8vBvROrxfWj0Yxgq9sISnuJmqArtI6HQ9yDS1POl1FLz1arm7jGcHvUjL1jsZAMe9GcaKPCR3prslHFc8mVysvAICYz2NYOa8gYUzPUgc2bsk4ho8jLs1PZmgtbwv1BM9X6X7vKXm3LzTdAS8X5IqPaTGEjyYhkO89jbVPDF8cDwCpOe8aQkKvevZ57pIbVu8vHx4PEb8Dr2YqgI8O/2cOpiqgj3SYOq80yYuvEjywbwZXsK8GZj+OQKhOz0Mgw89dvRhugJDQL3e4Ra90yMCPKU33zzTYGq76eO0PPXipjwY04O805GiO1LHHD11Cyi9meESvIJrwTnSM6e8627zO1NMAz0wiem8SIdNPa8mrLpfeLi8meESvGuUyLyN/7686g3MvDvjKjyN5Uw8vHnMvI38kjwvTIG7rxaHvQG7Lbqlnyc9u1mCPBjZWzwMX1A8dvuCvY1NFT08ldQ8Ga9EvSOeET3qn6s86uZgPDuvRjylDUg7dU+xPLxS4TsCXbK7xnWSvKUNSD0ZzOI8Ag/cu4x3rDyCrB48vIlxPbs/kDwwAVe66SSSO9OrlDzGdZI8jf8+PdI2U7xS4Y68jCYqPRkQbL2O9fE7RrgFPdORojqZ8bc76njAPLBqNTyBrB69ME+tPV+5lbzHdRI9pRB0vHbXw7xTKEQ8mcpMvPY21Tu8zfq8mfE3PVOdBTuNOXs9r2cJvd9Mi70lHFe8UkyDuCOrCj0ZzOI7dYZBPI562LwCKc48AtWfvBluZzzTsey7R77dvCQcV71GFgE9RhYBvdNakr0ZVPW8vA5YPLyWaj1G1aM7xqyiPQyGuzvTely9RhaBvIJbHDxq/JC8MRF8PdI5f7yNlMq7R3eovCQp0LxfdYy8Xm5rPV4KGL0BhJ28pIW1PEe+XTxp/BA7DMeYOnWJbbz2dAY8jO8ZPXYBW73q0w+9AnrQvN4LLj2wrj47dmmjvEbvFTykVH08X0RUPbv7hjxqNk29SIp5PFKTuLy89OW7MK2oPAGRlrx19GE8DKCtvIwzo7y8K3Y89dIBPC8yjzsCYN670q5APEiXcruCotG7MCUWPdLvnTyNOXs8An18PYw2T7zIr049GfAhvDALJL1TC6a69pTQvKVR0Txf89E8mTXBvF7GjjwC23c86wP/vDDN8jpeDcS8GZj+PPVQR7uB0wm9O6yavDAlFr1S4Q49av88vOmsJD2warU5sK4+vA29SztID+A7XrxBvcZbIL0wuqE8GVuWPMbTDb11iW28PLkTO4HgAjswiWm6MOdkveloGz1ebms5jeKgvOrjNL1fsnS6ML1NvNL8lrvfqoa86eO0PLt2ID2M8kW8dSUaPeqSMr0C1R+8goIHvTtBprwM1JE83gsuPfaEKz27CIA9pcxquw0OzjuNXTo9JJGYPDDn5LwBNsc8x/2kPHULKL1SX1Q8pTQzPZiDF7yN/748avyQvMhBLr0jWoi8JOKavKVh9rwChB09mEK6vNNqN7xI2/s8PCe0PN+qhryNXbq8dm97OlPhjrrpdRQ8MWL+uwwLojx2K3I8SNv7O7wYJb0MXKS9vFLhPOuy/LuNNk85dv4uvBjTgz2lXso6xoILO2pdOD0BLPo8DO4DPEZNEb0Zv2m99kAiPesd8bzIXsw8o3WQvWtQv7x2Hnm7pCQOO8YxCT3GuZu6yNY5PLxPNbywkSA9sCYsvRkKlDwOUte8GXvgvF9h8rzrv3W8DYY7u7DiIr0k4ho9MEI0Pfb8mLzTvuU8vL1VvDCTNjwwrai89uXSvPYzKT2Bkiw803cwvTBSWb3I1rk8AfwKvUh3KL3H0428ahkvPBh1iDwxHvU7r2eJvXaTujzfeU68McB5POth+jwC/Aq63qqGu5nKTL3fG1O8xsaUuIHGkL0YFw096TQ3PYwJjLzeMhm6rxYHvaROpTxfN1u9MPTdPJitLjwCng896j4EPYxAHD0vx5o8R6sMvQJ60Ds8goM86qJXuwKHybxSMhE9dmzPO6WFNTxGJiY8yADROzt1ij1eA3e86sYWPY7oeLwMnYG8dUyFu/V3Mr2w/8C9r7s3vTBsy7zGdZK80k0Zvbvn7Lx2lua6jUNIu7y9VbyYTIc8R1PpO1OwVjyYTIe8Uj8KvZkOVjxGCQi801BFu4LTiTxfGr08pHWQPHWtrLtGJiY8yKJVvSWuNr3paBu903rcvALyvTwBbde8dT8MPLv7hjuMyK45acWAPKPTi7swKMK7AloGva8zJTxrUL+8PPAjPaXGkjzTHGE93kwLPbxfWrxekqo8jnpYvQwOTrw8J7Q8X8k6vN6QlDxf1jM9GE4dvIEAzTz1Q867u5ASvTAoQrwCOfO8AkCUPAIc1bwCQ0A8GVFJO2pqsbwjnhE96v2mPKWvzDzH0407xoKLvbzN+jxe2V+7JTMdPRiCAb0kdya9GWs7vRm/aTywkSC90/X1PCXYTby71Bu8vDVDvaWIYTyNoUM9jVBBvI562LxTQjY6AqRnPTB5xLv2XcA6Xic2PRlRSTukuRm9SAJnvbxfWj1fiN28DJ0BPY5tX7zTsey80jOnPLCuPrwBUDm9r7iLvDv9nDzTCRA8gawePRm8PbtIYGK806RzOy8/CLsxHnW83k+3PAFT5byw2FU8dscevEhdNj1qWgy9AVNlPPYJErp2wP07pdljvI2k77v175+8MFLZPDCQCryB4AK9AqRnPIxqs7w8hS88O3UKvUj1bTzqolc9ds12vNMWCb0w9N28GQPzPLDVqbtIetS8DHnCPAzuA73TYGo7xqwivbzKzrxpFgM8dV/WPJiDFzy8UmG8DdSRuy845zsCpGe8uwgAPdL8ljywJiy8mPsEveoXGbsZHeW8sDbRu1Lxs7y7Mhe6rzOlPOqSMj0Y2Vu8u7BcPTAbyTyMxQK8GP2auxisGD3S/BY9vJbqvF/wpbuZkzw8vAHfPAx5Qj1fF5G8RloKOyWutrve/rS8r7iLvIIXk7tfiF08Att3vOtE3LqvZ4m8a1C/PAGUwrzeg5s7r8WEvOp7bLwZyTa8rwkOOrzxubwklMQ76791PHXXwzt2Ut07gZIsPLCRILz2rsK8r7iLvHZpozsCsWA8DMpEvGl3KjzGFxe9jstau7zKTrvqPgQ9XuMsvBhojzwNg488L6Cvu9PofDyCQSo9Oyc0vDB5xLsN1z29R+8VObz0Zbw8/Ry9pb9xvaVu77nSQCC9jCYqu4yrELzT6Py86e0BvF9U+Tvq/aY8xrmbvAEzG7yvI4C89U2bPKVubz1fsnS8DWkdvQwYGzvTAm+6Al0yvDBCNLzr89m73u6PPLDY1Ty8b/+8vIOZvFPKSD321a28u60wPKUKnDxe04e8xtMNPbB3Lry8vVU8jKFDPMcKnrw7uZO9dontPC+gL7xTP4o8362yPEjIqjyYP447vO6NvAKeD71IseQ8xuCGvGspVDteCpi6JBmrvKVeSr2jgok8GfPNu6SSLjx18bW8SEPEvKRR0TqwUMO76TQ3N6QqZrzG0w09AZ6Pu5gbT7wvgxG9DcrEvHadhzzrXs68jDMjvJiGQ7w7MYG7pawgvSVAljzq7QE9X+CAvFNMAzyO6Hi8jEAcPer9pryO6Pi7paygu0ix5LylvMW7U9SVPKROpbxTX1Q6Ja42PI1nB7y8dqC7X4jdvKVeSryBxpC8MW93PMfTjTykKmY8gkTWuhgkBj2vxYS8Jf84vALlRLvp/aa962H6PJnHILxS7oc7GSpeO7wr9jwvGB29DLDSPF/mWDv2uI+8dpbmO7wr9jxfr0g8jtt/PKVh9jz2d7I86ypqPDER/LylQay8MLDUPIxQwTprUD889e+fvKQnOrylHW089gkSPDCtKLoY04M5DRibPOsDf73SIwI76rmdPEj/Or0MC6K8GXUIvNPl0LyMyC68ryOAPKVBrDwBNsc8X3tkvHX7grte2V88PBo7vHWGQbwwKMI8AkCUvLwOWDwwQjQ8jLgJvY7oeDwwKEI902q3PGrvl7yMxQI8SCz+PIHggrzrv3W5MNSTOnba77sxzfK8vCjKvNJ63LqYTIe7JDbJOq9AnjsZVPW8mIZDvN8bUzoYEOw6dh75uwx2lrxfrJw8X9nfOWuHT70vXKa8Xsm6PAKk5zyCeLq6AhzVvBmYfjyNQBy8669QPTD+KrtS8bO7DbofPcfghruBW5w8vIOZPOkXGT2OYOY79e8fvZmqgrrqe2y8dYMVvdOeGz0NTyu70sWGvNKrlLvr81m7MStuPI4c3Tx1T7E8AQJjPNI5/7zeTzc96l5OvI4Ca7w7RNK70zl/O+rWO7vTkSK8DQsiu0iuuDoCivW8DUKyPF+SKj2lN188mNdFvMePBLyvq5I8AVoGu7D8FLyOsei8DHYWvSUmpLoxK+67GbLwPLxf2roCd6S8u7DcvI2uPLwkuy88SFPpvEhT6TrGrKK8pGgXvXZv+7yCaJW8AZEWvDzJuLxfYfI7sOVOPUZNET0xzfK83k+3vKTGkrv1dAY6MSvuvGpdODtf5tg8Al0yO9OX+rs7dYq8X5KqOtO7uTwkuAO9ajOhvA3kNjuMCQy9I7iDPGsp1DyBJIw8AgkEvVKdBb3e4Ra8PLw/vPYJkryB/aA5X1uaO3ZF5DuObV899sg0PZjhkryBTqO7JO8TPSQmpLyv75s89qsWPVNCtjrSOX88aqsOPKVBrLsMoC27oz6APep7bDyN/768GSpePEdngzx2o188L5AKPdPofDwkkRg9ML3NPCNaiLxebus89dKBvLsIgDqBdQ48X3vkO6QKHL1fe2Q89jOpvFL7AL0Znx88SP86PUhdtry8vdW7GRDsu1KGP7zedqK8AmorvIxdOryYuqc3pVR9u8asIj0MNTm8pTQzPKSFtbyY1Bk86rmdu/YJErzriOU7mTXBPEgs/ruY+wQ96Z+rO+vz2TsN5LY8u0K8vOlOKb2wdII8DDINPEgc2Tt11Jc7XtazOKRUfTwM1708PFuYvF4nNjykQSw9U3nGvMiSsDxILP68avyQPI5t3zzrHXE8a4fPO9NTcTzegxu96kEwPcbTDT3SdAQ9GZKmOzCtqDwCpGe73tQdvKVeSrzq1js7U0wDPenjtDzTD+g7ASx6uxm8PbuO6Pg79p6dO7D/QLxIrji8GQoUvLzNerxrh088jJ4XvF+/7TwCpOc8mZAQuelBsLxIivm8gg3GO6UdbTwMraY8paV/OyS7L7ywkSC86hB4PALlRDs7rBq96dOPvBiiS70wlmI8AUPAOvbl0rowNTu9L5AKvV7jrDzTD+i89VqUvFIyEbylN9+8XgP3u0ik6zy7TIm8apEcPF7gAL0j/Ay9JMtUOTEr7jsZ/Zq8DRtHvOl1lLxIHFk6ggqavI05+zzS8km8aZEcvXb04TzSXb480gkQvUht27tquAe8O6JNu8Z1krykTiU9jaRvPF+vyDw8ha889cUIuo4PZDsM/qi8R7uxOlLHHDwY5tS8dityPDBcJj0Bl248Ga9EvUaEIT0w9N28AtUfPekKoDyvQB66XpKqvAH8irzf4ZY8ASz6vN9csLzqJJK8Rk2RvPUWizx2k7o6XtlfvI1qsz3Tq5Q865VevBlbljzq5uA8SNv7u7zHorwMP4Y8GBq5PKRbHr2klVq8paV/u2pqMTy8aac5r+IiO0YJiLyY7ou9r0CeO0jyQbwv8bG8RriFO41G9Lxf81G8dvsCvbBNF7skXbS6pXi8PJm6J73TAu88jtv/PKQnOj2ZXKw8mEK6PHWDlTylxpK8pQqcvJnKzLwYaI+8pfApvY3iIDyNXbq6PJ8hu16fI7le4AC8dkVkPY05ezwZAMc8GVR1PNK+Zbpe04c8O7w/u5j7BLxfQag7R1NpvDwAyTw8ggO8pReVvBkAxzx15Dw9u1wuPUj1bTwMhru7R1oKvbxCPDsBy9I8GV7Cu9Okc7tqh0+7R3eou68Mujxfok87pebcPIExhbsNvcs59ofXurDFBDj2kSS8dYltPFL+rLykldo80mcLvKWsIL0Ynx+9vL1VuwFqqzo7MYG8jU0VvNJdvrx2aaM8GScyPOs3Y7uNZwe8DbofPXags7ulYfY5paX/OZmgtTul5ty7O9OFOxknMr31kaS7vJ0LvKWIYTolXTQ8AgmEPPUMvrsMx5i7GQDHvAJahryBeDq8sIfTvOvMbjqlzOq8jKsQPJnKzDxr2NG8dkK4PAJDwDx2OOu6DAsivbtCvDx1XCq8dq2svIKsnjpeMQO9MLqhu95ZhDz11S09MKCvOEgsfrxeA/c7pJIuPa/IsDzrANM7JJTEu9Mc4buw1Sm8DDKNPFPkujo8uRO7PKLNvDBCtLx1X9Y7r0Ceu42EpbwNKEC7UkK2u3bXw7xTaaE8dkK4PNO+ZTzrbnO80vyWuwxcJDwvnQO9627zuxnmVLyZysy8RxmtPCNaiLwCQ0A8X8k6vJmdCb2MZwe9Aop1uhgXDT0l7xO7dm97vOkxizulA/s8pLmZvAKhu7ywdy49DVLXurutMLwxwHk8R2qvO6ROJbxfrBy8PBePO5l2nrwBuIG8SDbLvBgaOTwk1aG7jQ9kPIzILjyj4AS8XheRO7xF6LyMdAC8o3UQPbvXR7wYaA88vPE5Orwefbyk5ly8XnWMvYIXE7wBTQ09O7kTPCNaCL2vXTy8Rww0vJkylbz2Mym89uKmu6Vhdryjgom8AmBeuyUc17yvFge96TGLPEjYzzzTAm88JJREPK8MOr3Tetw8DDKNvLzHojwCfXy69RaLvN+Dm7wvhj08r2cJPDCDkTzTdzA8XjGDu6XGkjy7b3+8dUI4PdMZtTzeuiu8gp8lO14KmLv1dIY8gV7IPLCuvjxSrSq9sGo1vaSSrrx2oLO7peMwPbzxOTwZHeW661FVPOtRVbwN/qi7xrmbPJlZgLz2M6m89qHJPJkOVjwCobu7X3UMPfZ0BryZWYC9gVscvRlUdbzH0w08L9QTO4Hggj3rv/U5SCx+PLwbUb0BTQ296fCtOtJg6rzTuzm8GcaKvFMoRL1pTZM6meESvKPgBD0xYv6806TzPFIbSzzHaJm80mDqPIJ4ujyMTZW7GWFuPLv+srxID+A4sOIiPJiqgryleLw8MSvuPHatrDxqWow8jYSlPJhCOjzrr1C8Al0yvPaenbsl8j+701PxutMP6DukPoA8pKygvCRQOzy7+4a8UvuAOxmV0jt252i8U9fBO+th+jzqolc835AUvQH8ijwlh8u8X4IFvCSrCrzS7508U/4svPa7Ozxq5Uo8SHrUOt9pKT1IseS7sFoQPaS5mTtqNs08GIUtPJhcLLuwUEM8DWzJvMZoGb0CdyQ6GSreO1IoxDyNRvS8divyuhlblrwvOGc8sBaHuLxZgrvSuI086XWUPDAowjuN/BI9dtpvu/ZQRzze4Za7u52Lu9JNGT1edYy70wJvvNOXervS/Ba73kyLOzAowrzrRNy7AbgBvLwbUb0Zosu8mZM8PXajX73TOX+7ryMAvaWyeLwN5La8vE+1O17jLL1HhCG89p6dPBgaOTxTT6+79k2buhlbFj0vOGc86XWUvHY1PzyOHN28u+GUvFNpoTz14qa8PIWvPCO4gzu8XC48xqwivUjL1rwCKU67jNWnu7xfWj2CJ7i6U1wovV5rPzyvXbw8wNDSurZs9jy+aim9dD30PFB5OTzTi1W8miYSvUQvkDzDHDu8Z40hvdIl8zz2wii9AQAOvZsZFT3k+qg9edVEvHPKzbut7hE9L46HO34UMD3Uftg8re4RPci0izxOE5A8Ta2tvH2UUz3MDTi9lmeDPJdnyj09Md27OH8EvO5Rz7yX5208cNcDPVnqWTvLGnw82L3DvGPOWb0FzBm78DdVvaBLA7yas3m9AQCOPK/hW7yZM4876Z+9vIheWT2NgwO73IlPPLKgIz1xcei8ZaebPM5ZILwJC0w9BPNXvczzPb2BU2K9WPdWO4Qfpzz69Ja8D0p+Pev4Ijw6WI28j+msvPg1z7r06R+8iet5PEeIPD3KNPa8OXLOvIsqZT3QsoU9clduvAelorkVyFS9AQ2LPDL0sDwxdI08IQU6POKHAr0okNQ8eUikvBzTBL3alsy61vH+vGaApLwnHa68AQAOPee5NzwheJk7f20VPbuEo7ye8uS8HFMovaX9FD0y5zO9A3M0vWuykjyWAeg5DcoTvJdnSj02psK8adkJvMfBCL1g6Iw9MAGuPInr+TtaXbm8KJDUvHWjVjxnmuW9T/kVPUNJijxOk7M8/jMCvFiEMD1p2Qm99sIoPQW/nLtizhI8kNwvPQey5rxbth49/FrAvCtPnDnItIu8fhT3PE8TVzxY9w88+KguvJfnJj2sFVC8XhxIvLk4OzwQFsO8QQrmPAIAVbxaan28qyJNO3SWEj1RbDy7xs4FvY6DA72A+vy8fYePOj0+Wj1VHgc9PTFdOi4obL3XvUO95lNVuxF8JT2P6ay8JGvjO+bTeDxUOMi8Eu+EOoOfAz1LR4S8cr2JPF+CqrtT0mW8XLaeOuN6TD1EPI28YdtWPXHKhrzvKpG88wPhvAvxCr0ka+O8vQRHvab9W7wPPTo8zlmgvGWanjujMdA8hB9uvTPatjuY5+08Ta0tPJLC/DzZMOo7ZgABvaSk9jzDjxo9Fzt7vWwy/Txn84M7T4Y2PO5RTzyKxLu70D/tPFB5uTvAQzI7JMQBvdkjJj3M8708F6EWuyH4PDx2I3o7TiBUPRTIDTw2pkI8hB9uPAGnbzs9Pto8HqxUPaMk07pUOEi9uLgXPZ2Zf73CqZQ7VLjrPMdBrLzE9cO7w5xePE2tdDwRiem8Xo9uPcmnjjsWLjc9RFbOOhxg7LxiwRU8RwiZO5MbmzzMc5q8sxPKPATmWrwmqoc95zkUvYZ4jL1WBA29KB0uvJ9YAD0WrpO7v11zu8Xoxrydf7483zsavPODPTwImKW7ctfKvLhS/Lwqg9c8Fy63vL/Djr0Dc/u8gyykPHwucT1JbsI7t8WUPd1VFLysCIy96gWgvEjunrvxqvu8p/BePZfnbbwwgQq8pQoSvVS467xHCBm7c71QPWuyEr0WVfW8PyTgPBVIMT3Iwc886hLkOwv+zrxxcWg8oMsmPRNv77z6gbe8/IH+vJJCkj1g6Iy7EJafO4dekju96gU7M1paPUzHbrzqEmS9mE3QO396Er3kYIu6hB/uPF4CB719FDA8Ud+bO3suKry6np08miaSPN389btGon08Vh7OO2D10LuUDh48p9YdPeisOjyrFQk8e6GJPS6bhLtGlTk9cP7BvPoB27xMx266yprYu0/5FT2e5aA8LEIfvbT5iDzyEJc7RSITvQ8jQD09MRa9oEuDPAbMYLsgEje9XEM/vPXp5rw2GaI80guyu773yTz5Dtg7NTMcvTCBCjw7yzO70wv5vJWBRL3ilEY8xs4FPc2A3rxBCma8PyTguoWSzTtNrS08xHUgvbSGcD3e1be79kKFvMoaNb0WLrc78oO9uwNzNDzKJ7K8JUSlPBPiBz1ktN+74SHnPKuVLL15yAA7dJYSvVzDG7wkRCU9Fq6TPENWTj2ZM489y42UvCAS/rvaMGo8xejGO/+mKL1J4SE8hoVQPKG+8LtqTPc8/rMlPWFbsztD1vE8/rMlPBEJxry2XzK8K3ZavNVXGr3Nc+E8/yaFvEwtirx/ehI9ix2hPM5Mo7xa0Bi9RDzUOq7hlLsN5FQ8X3UtvGsyNj3W8X48b3Ehu3lIJL0RfKW9H58QPcDQUrttpVy83VUUvFAGkz0SiWk8uSs+vBH8AT1dnCQ9yDSvPOisurwHJUa9x06pPONtCL36gbc8U9JlvZ0M37yhPs27kxubPOtrAj2jMVC8SW5CPN5Il7wfLPg8xHWgvDKB0Tz/JgW9nuUgvdVXGr0duQo8jnaGvHZ8GL02Jh89171DPQiYpbz69BY9WGo2vWs/s7ppZvG8f3oSOmB1dDy4Uvw8034RvSxCH73b/K48FlX1vEYVFr0gktq8QfAkO1nqEjzsXoW7d28bvdXkOrwHsua7Of/uPPXpZjw4cgc91HFbPOT6KL0gEv673InPusdBrL16uwM9clfuPDPNObzykLq7jRBrvdAyqTzjbYi9LijsPPbCqDtmAAE9kigYPO+3MT0a4AE8Z40hvYOfAz3d/PU8Ao11OuVTDr1Q7Bg9VLjrOgCaqzw65XQ7DzC9u1YRij17oQm9GuCBPG0YvLzilEa8hoVQO+bTMb2NEOu9M02Wu5faKbysCAy8A/PXvIaFULznLBc8PrG5vJfnbby6HkE8SlRIPMg0Lzz755m8KJ1RvPTcojspEDG81PG3u4dekjwh+Lw897WrPHUj+juX2im8cz10vXdvG72WZwO9T/mVvDiMSDxOExC9nvJkOte9wzs5ZYo5JTcou3WjD7ylF9a8ksL8vEUiEzsNvZa8PSQZPei5/jzeYlg9ekhrPakvg7yDnwM937s9vS+Oh7zMALs8lYHEvNkw6jtpZio9kE8PPcR1oDwzzbm7uwQAvQt+cjoT78u8mFpNPD4XnLyLKp48kULZOtqWzLyEH248zWYdPeA7YTwNZPi7z1lnvZdaBjwYlGA8171DPThyB71KVIG9hZJNvei5fjxkQbm8SO6eOwn+B7yw1N68qDwAvcknsjuDnwM9TcfuvIdrj7wT78s7E9WKPRL8yLyOdoa7S0dLPQ3XV7xR35u8kigYvdP+ND1I+xu9x0GsPP7AabykpPa8M825OjiMyLyyIEe9aVktvS4oJT19hw+8vt0IPa7u2DtnAEi8M9p9u1ndlbwMZDG8dvy7PN7IOrzzA+E8dLAMPHwhLT1Ie7+8uh5BuyH4PDzJJzI8PbG5uyppFjtqzNO7bDL9PNIYr7y7kSC8QmOEPDWzv7zFaCM8UezfvCoDezwRCUY9V5EtPGPOWb2EEiq9fRT3OzYmn7u8d6a8HiwxPUvHJ71LOoe8C/7OvFYry7z/pqg7sUe+PNhKZDxDSQq8HqyNusOcFzwkXh+8tmz2PGPB3DvJp446+Q4RvaDY6rzAtpG8+Y60vDeMAb2COaE7asxTOzrYMD1fgqq88wMaPQgYgjyJ6/m7ACcFOUYi2jx+FDA9AQAOvV6PJ7xsslk8Eu8EPcMPPj2CuUS8UziBu+3eqDoU1dG8D0r+Owv+zjv3NQg8Wt0VvE6TM7u+d+285GCLPI/prLz/s6U8U0VFvE8GWryQ6Sy8d3zfu6hWQbwkXp+7++cZPaZ9ODx7roY7TSANOzRAmbx0lpK8mE3Qu3Sj1rqWdEc84oeCO0ciWrvRmAu9CYuou0rUJLznLBc9TSANu2hmqjwzzbk8KgP7u8bOBT0y9Hc9lXQAvPVpQzxLR0u99zUIPNAyqbw6WA29z1lnvY52hrwrTxy9re4RvKdwO7xcqaG8Eu+EuzCOTrylChI9tIbwu71qKbuH+C+5Jx31PFM4gT32NYi8oEvKvAv+zju/3Qg8tfnPvOisOrwduQq8jZAAPEnhoTt51cS8bLJZvANzND19hw+8t9LYPGHb1jyisay8EYkiPXfvvry7kec7adnQO1LSnrxh6FO9kGnQPMonsrxTOIE8QQpmPBptojy4RTg8XwLOvFypIb1dDwQ9wFAvuz8k4DuDOWi80hivvCzPP723XzI9ccoGu5WBRDy0+Qi9C/GKvLG65LnRJay8qcnnuQclRrtjtBg9p+Oau/ZPybyRwrW8WIT3u3uuBj3sXoW8zHMaPCp2k7wqg1e8v1AvvbXsizsSb6g8SlQBO1ypoTzk7Su8rmE4PZhnyrwM1xC76B8auwxksbzJp9W7Bj/API6DA7zJNHY8uwQAPMT1wztFL9c7PTEWvWRBuby5OLu8SlQBO7SGcDskxIE8M9p9uz3L+jyP9qm89k9JPIhRFbw2Jp+9rW41PPVpQ7zeyLq8gjmhvCF4mTwL5A29zlmgO8XoRrsqdhO9MlqTPMqn1Txa0Jg8/NocPPMDmjwl0cU8LihsPLx3przBQ3m8ABrPPDNaWrwkUek7AoAxvBp65rzHwYg8WIQwvJBPj7tmjaG8uh7BPG6LYr3qEuQ5xduCPBgUPb2Aetm80/60u4DtOL2/XSy8oEtKPP3a4zvd4vs8clcnvLC6HbtDya06RqJ9vPKQOry4Unw8FFWuvJK1uDwRCca7jRDrvLuR5zxdKUU97dGrPA7KWrxnAMi7Dkr+PDGBirx7Lio8HGBsPL73ybxw1wO9RDzUvG4LvzuQXAy8FVX1u191LTxnAMi8Xo/uvH56ErySKBi82gmsOVw2wruTKN88SzoHute9Q70mxMi8X4KqPOVgCz0h+Lw7HcbOvCtc4DoZB8C8FFUuPUFwgbuLN5u8joODPJ9lRLyLt748qcmgO8o09jy2bPY83HyLvH9tFTsnHfW8Wt3cvHfvvjxo80q8ersDvMR1oLyAU5u8OH8EPcoaNTwVO7Q8u4QjPOdGWLyt7hE98wMavB3Gzrssz7+5K9y8PPA31bynYz68V5GtPI/2cDs/Cp+7UOyYPJlAUz2GhdA8gsZBPF2cpDkfnxA82D0gPJ/YI7z5Dli8zHOavHJXbjyMEKS7JbcEPXnVxDwHMsO7LMLCvIrEu7xngGs8uauavIyQgLrrawK95VMOvdTxN71/bZU6YejTu63ukbxktF88BNkWPbBHPj0HpaK87yoRvUpUyDvKGrW7hJIGvLqenbsRfKU8UWw8PCxCH7zbFnC8bLJZu7OTJj2siK+8xttJvOMH7Tuwuh297dGrPM5Z5zw7yzM8XQ8Evfr0lrwICwW85dOxvJQb4rxtMv05UtIeO1vQGLyJUVw9Wl05PZDpLLx5VaE7j/bwPIsdobwCANU7yacOPR6sjTyQXAw9WARUPJFCkrxUuGs8BzJDPZ/YI7x4Yp68Jp0Ku6yV8zyI6/m4miYSPXli5TtHiLw8kjUVPWnZ0LzGaGo7PbG5u5HCtTtAlz88dRa2PNML+bwF2V08l1qGPPbCqLwFvxw81PE3PdIl87zdbw681VcavEF9RbzgIaC5rAgMvdKYUrwygdE65AdtOnb8Oz1sMn28/trjPPoB27x8lIw8EJafOyaqB7sPPbo7sjrBPHFXpzxpWa08xs6FvMMcOzyd/5o8UOwYvZ7yZL00Td08e66Gu9t80jp3fN87QeOnuh8seDyOgwM9Bb+cvG6L4juA4Ds90aWIvDpYDT0mnQq9hBKqO2lmcTyHa1Y8uFL8O0cVXTznLBe9qiIGPUJWBz0BAI48krW4u9mWhTy+d20624nPOy21RbyYWs07UzgBPdP+NDygy6a62RYpu/KDvbyncDu8OuWtPKXwl7wcRqu8A3O0O7T5iLyipC88qy9KvBp65jxHCJk8JsRIPHDXA71TRcW78R0UPDNNFjxLR4Q8MuczvDJaE7zEAkG8JsTIPO/Edbj/JgW9/IH+vEJwSL0qaRY8DcqTu4/2cLtEPA29nJn/vGHo0zzTfhG9wyl/vKDYarwM15C8SPubuyvcvDxYd7O7j2kJPLbs0rzYvcO83kgXvD+kvDzdVRS8/FpAvMk0drzseEa6dD30vGYNxTwKi6i8pRfWvDRN3Txfda08JMQBvaUX1rurFQk74Ejeu3MwsLwvDis9HqyNPDWzvzxzMLA8KmndO6yILzxUOEi8VhFROy4opbogktq8H59XOxgUPT1rshI7xHUgvT8KHz1izlm8IBK3PBr6wjx1iRU7r9SXOjvLs7yQ9nA8TSANvIWFCb3jB+27zYDevMBDeTtT0uU697UrvCgDtD2jF487ix2hvHhiHj1a0Bg94C4dPF0PBL0erI08/7OlPBU7NL1I7h683sg6PA49ujz5G1W8LaiBPOXTsbsqXJm9ERbDu46Qxzqlivy7nnLBu95iWLzZMGq7uwQAvV91rbttpdy7hnjTOzP097xCVoc8e6EJPexrST2yIIA8Cf6HPOzrpTxbw+K8oD6GvENJCrxrspK8Lw4rvfvnGbzhIec7hB9uvLGtoLngLh28ix0hPS6oSDz09pw7MXQNPAAaTzq30tg8Uezfu0tHhLxYBNS7rAiMvNILsjz16WY8IJLau8Icuzx9BzM9EYnpPBRVLjzGW6a70LKFvACn77to8wM9IBK3u1HsX7yhvqm7tt8Ou5D28DuipC88Yk62PJLCfLoHsma7vvdJvAn+B72bmbi7UOyYPGD1ULx44sE8jRAkPAAaiLy4uBe99lxGPDGBCr1ySqq8ZaebvErh6LuAYJg8TiBUPNdKZLuhMYm8hB+nPNGYC7v+zZ88e64GPN7i+zr69Ja7e66GugCaK70XoV287OslvMfBiLvjbYg81PE3PJnAL7uDuUS5Lw6rvJHPsryslXO8Db0WvUluwro2GaK8tPmIPNAyqTzalsy8v10sPPXpZjw9S1c7K9w8vfkOkTz2T4K75e2rvMIcO7rWSh29jCplvC4opTwp9jY9Ys7ZOnM99LvZMOo6lmcDPS1CZjwhhV07RLywO4K5RLyX5+07t2z2O3u7yjpAcIG8JGvjvDAOcrwokI27B7Lmu0JWh7zJNHY8M00WvKG+qbxHiDw7/6aoO+GhwzvRJay8RC8QPKBLgzsltwS9U9JlvPZPArxpWa28JrfLPOv46byAYJg6TC0KvB+SE70XO/u82EpkvOZg0jxBY4S62xZwvGSnGzw4fwQ9E+/LvMoatbzeyLo8ZwDIOsuN2ztXHs48T/mVO77dCLtWHs43swaGu4wdIbzLjdu8jJAAvQ1keDw58qq73W/VO3Sw0zwgEje8sxMDvJBc07yPXAw5MA5yPY0DJzpgaDA8m6a1uy4o7LuOkMc6faFQvdhK5LzdVRQ99jWIuiiDEL2XWga8NwwlvGsytru5Uny7Ud+bvDw+k7yUDh692TBqOgn+B7zKGrW82jDqPDJakzxb0Bg8S0dLPFh3M71OExA9A3N7vIKsAD1cNkI7JN7CuxNiK71oZqo7C37yO3u7SjyfWIC6vt1POhH8AbvyHdu8nIw7PXq7gzw9S9e7l1qGPBptojqKN5s7sGH/PHsuqjyRwjW9kNwvvYFGHrxI++K7Q8ktPbk4uzw2s785xILkPOKHgrwcxge8NxlpPOv4aTtlmh68az+zPGs/MzzgrsC8O0sQPTJaE7yR3Ha9OWWKvBehljp0PXQ8OfIqvOqFQz1TOIE7D0p+PAvxCr2/Xay8E2IrO0j7G72l/ZS6Cf6HvPY1CL22XzK7SO4eu9AyqTxGov28Y1v6PHnVRLsXrlq8vHemPKXwF7saeuY7aGaqumwyfbxeqWi7tt/VPOqFQ7xaXTk8S8cnPTtYVDyAU5s8dZYSPKyVczzxnTe8LiilvOZT1TsL8dG7Y0G5O97Vtzs7S5A8O8uzvKjj4TtzvdC7KmkWu0s6BzxMx268lgFoO2YAgTzGW6Y84CEgvXyh0DtsMn28ZCc/vAEAjryhPs08XTZCvENWhzqOdoY87jcOvObTMT0Fvxy8gO04PYb4rzq/UK88xmhquplAjDyrr208zPM9vDWzP70XO3s7LpsEPDrl9LsPvV2863hGvMMcO7yIUZU7vPcCPN5Il7yJ63k8VCuEPOcslzurIs08RxXdO2DoDLyyIMc6jJCAO4rR/zxpZnG85O0rvDcMJbwN15C7TMduu6KxrLzIwc87H5+QvFYRCr0qaRa9E+IHPbG6ZL0HMsM7r9SXvGHbD7wz9Pe8cP7BPOGhQ70AGoi8gUaeOyY37zvxEBc6pmM+u+VtzzwlRKU8xs4FvQAaiDyJ6/m8C34rvPuB/rtWEYq8r1S7PDCBCjvN5sA8I2tjvSgddbzCqRS8SHu/vPKDPT1spZU6cNeDvIwQpDx0lpI8nNnYO52zkTxo5Yi8yr23u5VcCzvuUL68yr03vVOTMjzJnZ68702nvCNC9zwcpRC9exP6vHQJNz1CVZk9eNbeu7oSwrsAiSk9ozBfvAndGD3vA3s5LrNoPCvjqbw9YfU8dLxzvVDjDD2uNPS86Ra6PN6lyD2p17+6XwGNvB3o2bwDyVs8MB0uPZC1Kjw/Oy67EsGUvDdUG732hJS7zUcWvdVR2bs+G5W9jbtYvG5CPbz0qtu6MqojvGoCiz0pxie8772aPELovDy8fIe8iluNPN8SpbzaSJQ81VFZveujL70opo69kfjzuydc4jwGMIq86hMjPYrrmbtEmOK8apWuvJrc7zw8Hiy8GK5VPHutgD3IDZK8SEJavN81VT2mTWE9ez0NvZAiB7sKbSW9ul+FPLdCgzx/eqg8pycaO9pIlLyCJ7c7TgzrvCc5srzXu568Qpv5u/7YA71PCdS8S+9oPTq0Zjvz14W8DRo0PWTuTbxvrAK9hWfpvPnkXz0mGRm9S19cvQdQozx7PY08MP0UPMTTjT3oGdG8FW4jvMVgA70X/i89dQYgPYnLALzff4G8pk3hvDM6sLxYXcO9lILSPP7YA7xlW6o85mmrvJOFaT1kO5G7XAc7PRex7LykCpg8/67wPCECxbzk/+U8vHyHO6BgILtNfF68xBbXPBRxOrzx2hy7icsAPEA4Fz0X+5i8hSGJvL1P3bspxqe8LgCsPJXPlbwzXeA71eT8uuVJEj0NqkC7floPvR7CEryXn9S817uevCapJT31Oug8kPjzOY7bcb1sjwC9fuobvMTzpjzVLqm7t/W/PAcG9zzJLau7EXp/O8ktKz2eQ568Xbr3u+Evp7xxyYS8YtHLO7f1vzxBNYC8COAvPWQRfrqgg9C84iwQvU5Wl7xK8n+8/67wvBSU6jxLzLg8DxcdvaQKmDwfUh880Kp4vZ9Ah7uM6II8ZBH+uyEl9Ty6xf48AKxZvfgRijxWYFo7uIVMvTokWj0HMAo9PYuIPEBbx7xo5Qg6DxQGPRsVBLzmaau7CtoBvWxFVD0kr9M8Gas+PIiBVD3R8Y08mbxWPbALFj3lj/K6gAq1PB4Iczwr46k8exN6PSnGJ7x59ve88W1APVKTMr2bSUw8OCfxPL0sLbvai108wExGO16UsDwD6XS82/i5PXlma7wCFh89FHG6vJGyk7w1x6U8q4flO3aWrDyfY7e8N1QbPftx1bqZT3o9+cEvvcktq72lnbu8pAqYOmqVLjxJr7Y833+Buxex7LyfQIc81DHAvOvG3zsHc1M7uzLbvIF3Eb2rh+U8iM4XvfaElL08Hqy8wvlUPNhuWz1oK+m7UJlgPahHMzxxyYS9FU4KvHHstLpgjgK9/4tAPVlarLwbOLS8CQDJvJ9AB70ZPuI6v9zSPG+sAr2OKDW8hkGiPEa15DwCzPI8W8eIPEupiLrEFtc822UWPfDds7yDt8O8nkMevPihlj1fkZm8qCQDvMbwj7q0SDE87uNhPdRUcDsRxCu9ttUmPDCwUbxb5yE8R/8QPWuSl7w3B9g8E8EUvJDYWrvaaK08WDqTPAjAljzCZrE8fg3MO0LFjDqes5G7UZZJPcVgAz1Q5qM6VWNxPUJ4Sbqa3G89TcmhuqGj6bzCRhi8jtvxvHJZET1vPA895G9Zvdm4Bz2e06o7EDQfvV6UsDy9nCC9cp9xO4XUxbyCl6q8jgWFvMajTL32N9E84DK+O9EUvjxvgm885mmrvAcGd7ylnTu8K+OpvJXPFb0GMAo8Cd0YPeeJRL2v7pO898fdO4VEOTyMeA89usX+vJ22qDz5wS+8dia5vPanxLyaTGM8WnpFPE4M6ztLPCy9m2z8PI8lHj2CBAe917sePecc6Lz1Oui7dLzzvAragbtl6zY9i3smPQqQVT0lz2w96oOWvGwiJLwUTgo91BGnO126d7xk7k08Y860OvikLbymur08O/4SPUfVfTzsw0g9iuuZOnutAL3VLim8Z+ifOlSQG71aDWk9IE+IO2Fk77v4EQo9fe0yPMWm47q3iOO8g7dDPPgRijuIgVQ8iM4XvMgNkjxquN48XQSkuyNCd72L6IK9Lbb/PCimDr30Gk+8WO1PuyQcsD1K8n88O0TzOzv+Ej15Zus81cFMPDU0Ar212D29z/e7PLlfBb0I4K88AhafvYrrGb2ymAu8xBbXu0JVGT3phq28j7jBPH59v7vToTM9qUScvMsqFD0VkVO8oaPpvGFBP71YgHM7cey0vAdzU72R+PM8SzwsPWqVLrxK8v88ilsNvcrgZ7yeif68iuuZvOzm+Dxdunc7q0GFvVZgWr0PWmY8edPHvN811bwS5ES8gwSHPKBjt7qvDq08jttxvdhu27s35z682Nu3OjbnvjwoNps7lIJSPAndGL09GxW8kWhnu5Xvrr34NDo9GK5VPYzoArxL72g8mrk/vRA0Hzwf5UK9wEmvPOKcgzyeZs48K3bNPB5VNj3LuqA8IHK4vKv0wTz+a6c8RgKou1MjP73WTkI9ntMqu/JqKbyBKs48+DS6uwMTiD3n1oe8Zes2Pbsy27x9yoI8Fx7JuxqoJ71IH6q9wkMBvccz2bvlj/K8IHI4vR/iK7yGQSI8UyM/vFzkirwLjb482UgUvHHstLy39b+8X9RivJfpAD0BiSk8Tum6vMJmMTypRJw8COAvvAragTz8u4E7Dl19vWZ7Q704l2S9yZ2evIc+izycRjW98/q1u6IQRjyVoms706GzO4x4DzvunQG8SzysvCg2G7sRpJK87RAMPf+u8Dzai109Yj4oPZUy+Ls0Wsk85fxOvdXkfLyVMvg8rzFdvLoSQjwfUh89bzyPOyimjjyGZNK7wraLvDpuhrxneCy9WleVPCAldbzo9iA8kCKHvGpI67zGo8w8MYoKPTgn8TwiIt67jL5vvY0rzDzaaC08uzLbPIwLs7x+fT+9dJlDvVp6RTwSwRS9xWCDPPb0h7wpVjS8QTUAvcajzDyGZNI8SYwGvePfzLyZT/q6M8o8PbCeubynJ5q7lRJfPc/3O7pGkrS8bLIwvYO3Qz0kHLC8DfcDPbX77bx/eqi8Lm2IPHe2RbwE6fS8XZfHvBROCj2nB4G547wcPZoGgzzdha87K3ZNuvwBYrzY27e77OZ4PEHIo7y21aY8USZWPGCOAj2cIwW9pyeaPKm0jzsNqkA8apWuvLdCA7zD9j283xKlPCSMo7yR+PO7/9iDPLB7Cb1B61M8MB0uvf3+yjtNfN48HDUdO7fSD71nm1y9t0KDPPDdM7w/Xt68HsKSPI0rTLzpFjq8bNXgvJTyxbw7IUM8xIbKPA5d/bsp6de8KKaOOxNRIbt+6ps7yuDnPHJ8QTyFIYm8qWfMvBf7mLxlftq7kkIgvOJycLz5wS+7DfeDOheOPD2Vz5W8qEczPUFYMDxqJbs7OpG2OslQ2zyz21Q9bR8NvaMNL7wqw5A8QwjWPEciQT20JQE85WxCunQJtzhUQ1i8MxeAOh9Sn7v1Oug773DXuzSnjLq+vLm8sAsWPZlPerxJjIY8EDSfvDbnPrtirhs8ru4TO6m0j7pk7s27sHuJPDAdrrvc9aI8GIslPeVsQje30g+90zTXuvp07DuBd5E8N+c+PI2YqDujfSK9LHM2u/Nnkry67xE9gpcquzpuBj3zHeY8OXEdvJh5jTxUQ1g9j5WRvOf5N7zE8ya9YvT7u3TmBruSQiC90zRXvdhLq7y1++28RXIbvOPfzLwz7ey78/o1O4+VkbsXsew8iRFhu2zV4DtCm3m866OvPDCNIT3FYIO81isSvXYDCTzR8Y08xxCpvA2HELzHM9m77BAMPM6KXzxvrIK8TMmhvNj+Zz2tgbe8OeGQPGQRfjyLeya8UnACPaN9orzHEKk8Wuq4PCBPiLzs5ni93BjTPObZnrtoK+k8xGMaO0kckzxvrxk8VWPxvPaEFL3vvRo9zEqtOmu1x7wTwRS8ttWmvANZ6LwZzu48qLcmvPMdZjzVUdm85ozbuwSjlDyp+m+8ShwTO05Wl7tEuHs8SvL/OcYTQLyCBAe9Wg3pu7JueDyd1kG80GSYuySMI7xTI7+74nLwvMq9NzsLag49pC3IvEgfqjvlbEK84r8zPfu+mLy5Ypy7OiRaO1ApbbwBGTa747ycPG/PMrzC1qS7iM6XPNGEMbvVnpw6AqlCvOrziboNhxC8txjwOyCV6LtXzTY8Yj6ou+Rv2TzDGe680xGnvIFNfrs9PsW9Rm+EPFp6xbxvrxm8j5WRvHUp0DwDpqu8AvYFPC9tCLx508e86Ra6O2eb3Dzepci633+BPIdhOz0KbSU98ADkPEf/EL1s1WC8Z1gTPYjxx7tVY/E7EefbvGUO57zWK5I7UbbiOkPlpTsmiQw83TjsPGd4LL1qBaI62G7bPKcHAb0ChhK9VACPu9rYIL0KIGK81k7CPHA8DzziT8A8grrauKr32LtTRu+7AjnPvCyW5rpcdy48S8w4vIDnhDy1i3o847wcve9NpzxneCw96PYgPdVRWbwW/i88ypoHPZLSrLwtk087lTJ4vOf5N7wSMQi9vJ+3vO5QvruQRbe8UFOAvPP6NTw8Hqy83RW8u7hiHLuoJIO7GfiBPLbVJrzKmgc90zRXPNCqeL1AOJe8wtYkPCEl9TwTdNG8kmXQvB4IcztLPCy8D1pmPbp/nrzFpuO4wEmvPExcRbyO2/E8sk7fPC22/zzB2bs81A4QvZcv4buYv228agILvfX0Bz23ZTM6uGUzvA8UBr3OasY5GIulPNabBTymKrG6gQeeO8twdLx7rYA9zI12vFK2YryVfzu8y7ogPOxWbLxEBb+8lc+VPGOrhLtB69O80IdIPLp/Hj2DlJM8fe2yuylWtLzWK5I8PYuIO8VgAzzqyfY7pweBvGyPgDwMQHu80oEaPXPpnTyF1MW8AoaSvErPT7wbqCc8fcoCvSjJvjsc6/C83ajfvJVcC72vDq27WseIu0w5lbwTwZQ7UQMmPchT8jxdl0c8pHoLvWQ7Ebx32XU7WwrSvFhdQzxfcYA8g5STPO8tDrzffwG8zCoUvDNd4DzsoBi9ekAkvR01HbzSgRq9vAyUPAdz0zzLuiA8uYI1vVqd9bwgJXW8IE+IvGPx5Lzb+Dk6xxApu0Hr07vuc+48jZgoPftOpbz0hys8eiALPWq43rzQ9CS7ly/hPJ/Qkzz4EQo9YLGyPBb+LzydiX45pro9PaMNL7wZGzK8I2wKPPu+mDxODOs8RpI0PVwHOzzO+tI8lILSPNXBzLwMQPs8TDmVvEnS5ruNu1g8U0ZvO3eTlbxu0sk6gOcEvPPXBb0X+xi7IQJFPY+VkbwD6fS7TlYXvHYmubxE4o68XHeuvFMAj7zjvJy6XOSKPJ72Wj1fkZm8cO/LPK8OLb30Gs87rjR0PLVFGrx0vPM7XpSwPLpfBbz5wa88ZQ7nO1VjcbtnC1A8vSytvOzDSL12Awk9DRq0OvnBLzprkpc7vpmJuivjKTvHfQU9UyM/vGwipDwvIEU908RjvFeqBj2wewm9bEVUO6a6vTzqpsY708TjOzXHpTxo5Qi9M8o8Pa3xKj2EtKw8OyHDPC8gRTz8u4E7DjrNu1FzGbwUcTo8hSEJPVsK0jy3QgM8E1S4OwgD4LohktE6pAoYO3mwl7zcGNO7Fx7Ju1Em1ryFIYk80TfuuzM6MD07IUM8s0vIPETiDr2FsRW9LnAfuplPejzz14U8/JHuu5cMMbzBaci7drncPPY30TqnJ5q83fILvSrDEL3Y2zc7+cGvu1rHiDuL6AK9f3qovJUyeDsCzPK8V/Dmu29fP7vQZJi854lEvD3R6DzDQ4G8un+eO1CZ4LwE6fS8lF+iOlFzmTzwvRq8OpE2vLB7Cb2ptI+7HFhNvLwMFD2I8ce8wUaYvFB2sDw7RPM8Xbr3vA5d/bto5Yg8/LuBPLeIY7wp6dc8A+l0PHsT+jy0JQE9PI4fPEfVfTzkuQW889eFPAdzU7x6Y9S6KVa0O2KuGz0NPeQ5VENYvfFtwDygYKC8s0vIPOwQDDzvnYE6SqyfvIrusLyfQIc7UrbivAKpwrxIQto4HlW2vNj+Zzy4hcw7oRNdvPjExj28DJQ7Ss/Pu7wMFD0bODQ9KFlLvB01Hbx78+C5V822PBF6/7wZGzK80xEnOrgVWbs/yzq8un8ePCXPbLxZyp+9iRHhO3ogizzHfQW89NcFO5OF6bzaaK27pHoLvQ46zbqNu1i8YLGyOmTLHb0VbqM8Ps7RPGXrNj2XfKQ8vMJnPJVcCz1vPya8JzmyuzgEwbsVbqO8ElQ4vcBs3zuLe6Y6RpK0OidcYjy30o+8qdc/PSIiXjzvA3s8lTJ4PBex7Du4FVk80WGBOyc5srxK8v86m2x8vIK62jyf80O81k5CvHN5qjyR1UM9j5URPTh0NDxkyx29kCIHvYkRYTx+6hs9xqNMvMq9tztYgPO7S19cO1eAczwofHs60sf6PCL/rTtLqQi7oV2JPJ722ryZmSa8aiW7PNUuqbxwPI886Tlqu56J/rzffwG9EedbvB/iq7sCOU+8XwENvL/c0rsZq748sFF2PND0JLzdFTy7FiHgPCjs7js6ASo8BebdOxqoJ7u5pWW8EDQfO10EJL0sc7Y7cX9YvLrvETx+fT88qvdYPKrUqDtAW8e7IJXovFK2YryaBgO9A8nbvEVyG7wrmf285G9ZPOIskDy5peW8RLh7PFMADz2Nu1g8y01EvUA4lzxEmGK7wfzrvESYYjt6QCS97MNIvIpbjTwrmf08wrYLPDlRBLwLsG47q4flPOmp3TpLPCy7aXUVvPy7Abzdha88WO1PPJksSrw3d8u8/2gQvQIWn7yrh+U6y703uCHflLwXsey6K1MdvC3gkrwMiic8JjxJPCnGpzsSMYi8+eTfuygWAjwKIOK8S1/cu25CPbzC+dS754nEPNYrkrzYbtu79Re4u0ypiLxYOhO9ndbBOkmMBj0BiSk8QDiXvIoOyjzY/uc80mGBvK6h0LznicQ8sm54uzfnPrxlW6o8Pa64OwogYrx9Xaa84J+aO5C1qrwFVtG8wvnUvIwuYzyGZNI7kfjzO0eyTTyXL+E60qRKu5ops7xWrZ07fn0/PQfjxrtWPao8sJ65u0ypiLyCulo7NBeAvezDSLyI8cc8ig5KvD/LurwHc1O8pMBrvDBA3rxduvc6SvL/O5d8pLz0Pf+8Qug8O2Oum7xP5qO85/m3PNHxjTy1tY08mOkAOwTGRL0IwBY9Rm8EPGI+qDw3B1g74iwQvNv4ubyRaOc7ZwvQOyt2TTx2Awk8CJPsuz87rjxY7U+8ElQ4PXOcWjwXsWy80TduOyL/Lbt9ygI8eWbrPJ22qDwlrDy9ig5KvekWury8nze8R48dPde7Hjzd8ou7XCrrPO0QjLygg1C7Y6uEOWV+WryJXiS8CSN5PLRIMTyuodC8EDQfPMmdHrzXAX+9cVwovUR1srzJwE48Lbb/O+WMWz04UYS8qvdYOwdz07w7/pK8Wp31OorrGb2wUXa70Kp4vG/PMr3IfYW8EnfoubLe6zzi4uO8vt/pPLQlATx9gNa8lD8JPVoNaTzMSi08ru6TubsPK7z09x66QVgwPPgRCrrsVuw7HzIGPJwjhTz83jE7IZJRPKm0jzwYrtW7pZ27vHPpHTzWTkK85Ny1Oy5wH7zC+VQ8YvT7u1rHCLzTfoO8rw4tvOKcAzsmqaW8MxeAO/77szxqla48AfYFvYZBIjyZLMq8ofAsvAogYrtVY3E8M11gvPy7gTyPlRG8ccmEPK4RxDzUMcC76andPJD48zqGZFI83vILPFsKUrzDQwE8yFPyvJ22KL2f0JM8DED7ulFzmTz+HmS7QVgwuXYmObzAbF887OZ4O1+0ybwH40Y8btLJOwvaAbwXHsk8+VRTO1KTsjt59ne81DHAOsq9Nz3GgJy8EcSru5efVLzVDhC87p2BO5Uy+LxfR+07AfYFOuj2IL2nBwG9yVBbPT0+Rb0UBF65xoAcvabdbTyE19y806EzPNpIFL2tgbe8LyDFPGFBvzw45Ce8Lm2IvDfkpzwmqaU7Vj0qvSrDkDu4ZTO9OXGdvN2o37oay9e8uu+RPBxYTbsLsG48pycavQ095LtkXsE7YCEmvCGSUT37cdW7fn2/vAI5TzxDCNY8mB8jOxXp0DwTmVK9c9wNPJUy+jslKTg83VVYOzT5n7zbRdy6A5ntvHEckDz+ePW82MIOvWH8KT2vP4A9dc9au9wiCTshWb48/bj3u2sfaz2bMnG6n1JpPAOZbbx6fAE9ZowhvQA58zxZzDW81iISPBZZ0D0LNg88tlLFvHSf3bygEue6alybPJzvnLubL587EFnZvNvSCr382Hi6o18TvYHPyLwAGXK9x+Kqu3Y8CLzm1Uq6FXnRu+0lQD0FWWu8QNkMPNSF5zwPBgm6RizUPNxiCzxSDME815KRvQvJYb16nIK9ff/OuzmM6Tv1FbK8MxkhPQ62Cjsw7PW8M4xyvfuFqLoS9oO783W1OahfCj1PrMa8q0+FvG1Mlj2MXzc9Vtw6vWgsnjwfKUG9tuJFOBt5yDvH4qo8gh/HOwUGG7poTB87NimdvDUsb7ys8lO8kA+wvJVPqbzdAgi9MCz4PKES5zzx1bi8Q8xZPciFebw62RW9QnkJvbKizDzpVca85tVKvblCwDz81SY8zAIjO0a8VD3J8qa8OtkVvDx85Lw4OZk9X1ytPMfCKbzm1cq8dswIvSys/LyoQtu9+LUuPPzYeLwy6SM9qa+IvOh1Rz3IZXg8l18lPc1Sobw+WZE8Yr/5POHyAr0QVoc8YwymuUX5hDyEv8O8egwCPZivIzsElps8z4KePG/v5DwDeey77zW8u3Cv4ruMz7a8nA+ePGN/d7xhbKm7HMnGOtXVZT1ov/C7ADYhvXavWbylwt+8STzQvCHpPj012Z48rQ8DO0hcUb10DAu983U1vNVF5bna8os7/1WiPJx/HT1GSYO8X8wsvHkv1TxzvAy99vWwPJDS/7wyzPS7ZHwlPCKpPD3B4rO7O/mWPUfsUTzXcpC8PAzlu3p/07zb1dw6rX8CvSgZMz23osO7fW9OvaNCZDxTXL+8RDmHvWK/+Tt2PIg7mzLxPLsCvjyjzxI8p/LcvK0PAz3fEgQ7UgzBvKES5zyQnzA8z0XuPNLlarxVrL26nT8bOiHJPTtJPFA73sIFvRA5WD1n3/E8EaYFu3hsBT0/+Y08XuwtPTNs8TzZMo66ADnzPCHJvTxzT987DkaLPVWMPLzQshu96OVGPVWsPb1xHBA9CEaUPJKvrLuU3ym7J8m0PAz53jxn3J+8AtadPalfCrxPHEY9bByZvMll+LvPRe48Ngkcu4iPvbrvpTu9BqYXPZAvMTvM5XM9lN8pvUSMV70diUS9+CWuvIV/wTyQL7E727VbvKvfBb0+yZA8PemRvFscNDytf4I85BXNO7ByT72Lfzg9cRwQvUb5hL3qpUS8AfnwPDYJnD1DjFc8pd+OPUEs3TxdX3+9XGwyPPK1NzsQWdm8eb/VPFWsPb2hEmc7PqmPvF2cr7yHr768oRLnPL7yOL2tvwS8Yf97OQH2njx4bIU8ndJtPDhZmrzfooQ8aj/sPHm8A73Uhee8MAx3u3tfUj2Nj7S7Lox7vAH2njxuvJU8P7xdPVIswrwDeWy9HMnGPL+ytrzQ8h08x1IqPTpplrzDgrA8YB99vEZJg7xAvN08FQlSvCn5sTk4yRm8NgkcPJsvHzvTUhi8dh9ZPdMyFzyYsvW6LckrPd+F1buI/zw9xSV/PGD/+7wTuVO7q1LXvAOZ7TxYnLg8XZwvvY+/sTySP6080UIcvYNvRT3ntcm8GglJvMHiM71lzCO8mJJ0PJsycb2Tj6s8oDJovBjZSzwFOWq8y7KkvB+ZQLxDzNm7cf9gO1nMNb2qHwg8OKxqPSpJML2aEnC8Wjw1vHoMAj3VYpQ6V7w5vaVS4DrPZe+8tALHu56PGb2Wfya8eG9XPCn5sTx1X1u9yYInPC/ZJz1q7Ju8fw9LPRKGBL1dLLC8XV//vEJ8WzygMug84+VPPXYfWT1CeYk9E2aDvLqSvjsQOdg8SFzRPHoP1LxMLEs8zOXzO0EMXL2Q0v88ygX1PEmsTzwJmWQ9n28YvG/skrqMz7Y6x1IqvNwiCb3EYi89nbLsu59vGLxkX3Y9UUzDPHUMC7zNUiG9L9mnOdgCkTsw7PU8FQlSugH2njzntck8Atnvu+oVRL0eaUO9odLkPKtPBb0Fxpi8apwdO9PClz1CPFk8QbmLPHO/3jwzOaI8TqxGPBNGgjpdLDC9DKYOPWff8bydX5w80zKXvWsf67w8mRO8oQ+VPMuyJD0N9gy9BAabuw3Wizyl4uA8EoYEvfy49zws6Sy8X8ysvMTSLr07uZS8ks8tvMFyNL1Q/EQ93jIFPZ6vGjwSaVU9XZwvvXkv1btMLEu8DIaNvEM82Txpf2480uKYvTisar2psto8XgwvvQgJ5LzgYoK8nc8bPG/skjxEqYa8Mex1vQXmmTynD4y7ja+1OVIMwTxk7CS8FCaBO0SsWL3ckgi9PxkPPHV8ir03zOs8MJklPeIFUbsw7PU80uVqvT3pkTxQbES9RkkDPbPyyjw+WRE9dJ/dPDkZGD1s/2k83lKGvM0yILwb6cc8EHaIvJsy8bxcTLE8AyYcvLqyvzyfb5i7J1k1vEG5izzxZTm8lhJ5PC75KLwzjHK72aINvKSPkL3csom9jR81vUTJh7sVeVG8npJrvWpf7bzSUpg7MxmhvC8Md7yqHwg8NUzwOy8M9zwSFgW9rb8EPEycyjw12Z68u+I8vOBlVDwDme08+jj8vPU1Mzyqb4Y7CznhvEjM0LwN1gu96qXEvKC/Fjw37Oy8/iWlPC4ZqjtEHFg73LKJPJI/LTw+rOE7FQnSvNSCFbx0DIu8bwwUPVo8NT2Tcnw9l18lPUVsVrsPJgq8mD8kva1/grwGNpg8DilcvNflYTut8tM8yWX4uSP5ujs4yRm8R+xRvEBJDLwANiG9wjIyPEDc3rsAOfM8gh/HvKmviLx3HAc9hz+/PAO2nDzZMo48ytIlvdSCFT3aZV26E0lUPZufnrw/jGC990UvvQXGGDw3eRu8bWwXPIV/wbtSLMK8Vvy7vAb55zrFQq48npJrvESM17x/D0u8zoVwPQA2obyP3zK7AtlvPVb8O7xwr+K8+XUsvaGfFT0//F+8bpyUPPr4ebxMLMu8e1yAPG8MFLypPwm9tXLGvHEf4jzWtWS8lvJ3PatS1zyET8S8IHm/uxA5WLsIRhQ7RfzWu/y497p1DAs8mD+kOxPWAj3MkqO8DKYOO3ScC7ntlb87RDkHvUcJgTpeX/86/GUnPTLJorx2PAi8FZYAvDXZHr2z8ko8U1w/vSlpMTz31S89PekRvC05K72THyy9IHk/OUBpDbx9T828pr+NPCzMfbz2hTG8k/8qvFuMs7yScvw6SOzRPMUl/ztQjMW8DWneu3tcgLtn33E7dNwNPVh8tzzw9Tm8nbLsvKXiYLwDthy86hVEvPWlsrxMnMq5rUJSPK7SUj3hJdK8qv8GPSUpuDzyJbe8lb+ou12cLz2lUmA9CzYPvcOCMLzgYgI9oz8SPdXVZT2t74G8+4WoOxZZUDw4yRm87QU/PNgCEbvM4qE8QZxcPBXp0DxrPBq93lIGPXp8Ab39tSU8g2/FvAA2IbvvNTw8RpxTvANGHbvl9cs5xUIuPN8VVjyKL7o820XcPK5fgbzLJfa8U3zAvG1sFzwHhpY8jm+zuhLGhjyh0mS9Kimvux+5wbzhQgE9Zv9yvAYZ6Tw//N88oz+SvKsyVjtYDDg9LMx9vGqcHTyt8lO93CIJvEQ5B7xfPKy890WvvRbJTztZ7Da9EMnYvDSJoLvG5fy8QEkMvHVcibwQ5gc9G+nHO9+CA7sT1gK8yIX5PB+ZQD1CuQu7H7nBvDHsdTxin3g7BqYXvfpVq7ur3wU7GgnJPAbZ5jxHCQG9QExevPTlND1iv3m7+LWuPFUcvTsCRp28MQklPUXcVbw+PGI8r1JOPJW/qLytf4K9ryJRPDmJl7vAkrU84ZVRPG6fZjzstcC4egwCvKk/Cb1b/LI8rJ+DPAJmnryuP4A5yyIkvWrMGr3mRco8pU8OO3YfWTwQVge9STxQvGXMIzvclVq8EonWu8iiKLszGSE8AOaiu0mszzoN1ou8l9L2vAA2oTvUghW8eE/WO6wvBDs5jGm7A5ntvEd8Ujs62ZU8zVKhu6ESZzuvAlC8v9I3PZVPqbyiYmU8RrmCu7Byz7orma44E9YCPaC/Frw96ZG6dA9dPMfiKjvoBUi8tLLIvEGZirziddC8VMy+PLKiTDt/D0u6KWmxuZZ/JjwRGVe8WVw2O4w/trxarLS9OkxnPNzlWLxlP/W77zU8vHm/1TwPlom80EXuOws54byu0lK8VDw+PJ1fnDxfXK07w4KwPNVl5jxMLMs8P/zfO9aVY7za9d28aZwdPaqPB7zfogQ8nA+evGsf67y/Qje8bpyUvMiFeTwCue66cy/ePHwfUL1jX3a8AmaePAtWkLzlZcu8wsKyu5Ny/LxHCQG8bb/nO83CoDs1THA82vILvHasB7xbHLQ6z/IdvfzVJrz7FSk8wCI2vRGmBTxGTNU7a6wZvc9l7zzFIq08NgkcPYKPRrzM4iG8pP+PPPIlN70RpgU8+jWqvM3F8rzm1cq8G3nIvBA5WLw+qY+8ERlXvIovOrybEvC8wXI0uxcZzjstySu7qNJbO0WJhbvUhec8+XUsPM2lcb1jnKa8QukIPF88LD3agoy8u+I8vbnSQDxEjNe7sYJLPQ5mDLwMid+62vILPTOMcryObzM8k/8qPMCStTwoqTM8+JUtvVgMuLv5day8OYkXvRepzjpzv16838IFPNOlaLwuGSo8Wjw1PPo4/DxbjDO6DBaOvD8ZD7x6f1M9u8I7vInfuzss6ay7Z9/xO2f8ILzTMhe83QIIPRV5UTs8mZO8hz8/PIIfRz1EOYc8h6++vHwfULubL588SaxPu/glrjyaUnK8LMx9uwEWoDxDWQi8TjzHPDVMcDs7uRS8omLlvD7JEDtpX205yKIovdeykjvaggy9b+9kvEcM07xe7K28RmkEuxw5xrxjDKY8auwbPbtyPT1hjCq8qGJcvNECGrsJlhK7brwVva6y0bswLPg84GICPASWm7tASYy7auybupOS/Tydzxu9dXwKvRtZxzvOEp+8Zv9yu0GZijz4JS48dc9avSHpPryYPyS7M2zxvNOiFr29Ero706VovBeJzbrG5fw8mt8gPdkV37wPedo8pr8NPawS1bxJeQC8EonWPHXsiTxb/LI8c9wNPHQP3bvOZW884UVTPe81PLv1pbK86cVFu4sPuTwp+TE9BjYYPc6inzyFf8E80uVqPPhY/bvcYgs8Ihm8vKJ/FLymgt082vILPNyyCb0hyb06+jj8u7/SN73oBci7aXwcPXU/WrweaUO8xSX/O3zsAL1KHE+8LckrvHash7zWleM8Jzk0PK5fgT2Ij728hx++PJpScrwUtoG77SXAui5s+rziIoA8CZaSPG1sFzzkNc47bb9nup3SbbuQn7A8M2zxvHc8CL2bEvA8eg9UvCiJMjt5LIM7lb8oPD/8X7qt7wE94ZVRPK8i0TzkFU09RYmFvAO2nDwQdgi9biyVPJ4fmjyr3wU8Y3/3O8aSrDwCZh69ZFwkPdOiFj0IueU81ZXjOkXcVboHhpY6cMwRu2wcmToIRpQ8wjKyPKwvhDxbjLO8cf9gvJ3PG7xgH306LHktO9EFbLx2zIg7EvYDvDOpobweScI82FVhvGl/7jyvz4A6DyYKO4KPRr1ybA69lp8nOwupYDzd4oY7UizCPAOZ7Tuu0tK7QzzZPN7FVzytv4S8H7nBvHhPVr0hGTw8dxyHvFWsvTxbHDS9pALivJ6PGbqsL4S8A7acvEPMWbxFiYW7xNKuu9cFYzzSxem8yyIkPCx5rbzvxTy9cayQuwkmkzxfzKw7ZayivBB2CL1ybI68rJ8DvHBcEj1G+QS9ygV1vFQ8vjwCue48LvmovPulKTw62ZU89aUyOwLZb7yd0u08OKxqO8nypjyVvyg9ZOykPESphjtBLN26dq/ZOzx5EryoQtu8o1+Tu911WT0+qY88CCllvXVcCT0TZoO8ygX1PC9JJzzNxXK878W8uwup4Dt43IQ8E9nUvFFMw7w3eZu778W8vDu5FDwoibI8uiI/vI2vtT1jX3Y7DdYLPKES5zyA78k8RwxTvE18ybxrH+s8lvJ3Og952rw7SZW8no+ZvDd5G7xmjKE7qv8GPThZGryI/7y9qzJWOygZszv2hbG7U3xAvJLPrbxHKQI8ip85vXEf4jo0bHE6N8xru93iBr0/bN+6DkYLPYE/SD3eMgW741XPuw1J3Tx2zAi81WVmu5P/KryX0va7YBwrvVQ8vjstyas7CwYSvIKPxjv+eHW8oL8WPZpPoDtqXBs89oWxPIQvQ7s+ORA89MWzPPU1s7whGTw8fW9OvMOCsDzCMrK7jv+zvLeiwzwsWSw97nW+PMACtTv9uHe7pALivCAJwDp2rIc8YwymOgOZ7bxt3Ja6HylBPG68lTx5v1U6pcJfPXqcgrtqXBs8rj+APP5YdLxAaQ08WHy3PAwWDr1DCQo8hE/Eu6XC37ypIlq8bBwZvNplXTrj5U+8NSxvOzzsY7sVJgE9JNk5PJfvpTt4b1e8MskiPawvhDyrb4Y8RBxYPPUVsjyeUum6Z/wgu6YvDb0H2Wa70zKXvKVS4LqCH0c8C4nfPJiydTtlH3S8DtYLOUJ827xdvLC8MlmjvC2s/Lql3w68MXkkO6jPiTxF/Fa9J1m1PEcpgj1VbDs8qGJcvXCv4jx0LIy8q08FvRZZ0DsvDPe87QW/vDLJIjxErFg9ft9Nu6tvBjwZucq6jm8zPJVPKTsAOfO8bd9ovGkMHbz4WH08ADahPNDSnLuxws28KkkwOttF3Lxx3987g2/Fu86FcDsVloC6ADnzuwXGGLzaEg28DBYOPSx5LTqVMnq8uwI+vHbMCLwVJgG9B2YVvAeGlrwwmaW7lG8quSzM/bwWOU86kq8svAMmnLwLxg+9z/KdOTrZFT0wmSW8GPnMvKIiYzyej5k8ETaGvDCZJbwFWWs8Zv9yPMziobzzBTa5Vtw6PP4lpbvmRco6zhKfu0bZA7x1XAm9jF+3vM9inTzgZVQ4cK9iPDAs+DtYDLi7RmmEvDwMZbzildE7o68RPQR2GrszOaI8A7YcvEJc2rtGaQS7bZ9mvaqPh7zXchA83eXYuspipryxws27dJ9dvFPsv7pGSYM8MQmlvKVvD7xSnEG941VPvHoMAr1W3Lq86qXEPPglrjx7z1E80nKZO6AyaL096ZE7dXwKu6hfCj3hsoC8eSyDvJsycbsSxgY8rBJVuwmWEjyi75M8c09fuy9M+TzXcpC7/3UjPZzy7jtXLLm8pI8QO/hY/bp7fAE8soJLPJDS/zwquS+9omLlvLjywbuc8u47oz8SPRaWgDz8uHe8Iem+PKNC5LxW3Lq6JQk3uzzMYrwubHq83JKIPEZM1TzeMoW81NXlPPz1p7yMPza9mLL1vJbyd7zH4qo7CzaPO2aMIT1wPJG6aX9uO+bVSr3RBey87ZU/PNkSDb27wju8auwbu33/Tr0ANiG8nO+cusRiLz0VJgG9cmyOPDXZnrqmMt+8rBLVPDtJFbsu+ai7o7JjOrZSxbwPtgo8mt+gPMfF+ztpfJw8LOmsPA1JXTyEL0M7JNk5PD+JDjzfogQ7qnJYvN8ShDxm//K7DWleO8TSLrqgT5c8YwymvKXC3zpwzBG83eKGvMsipLxc3LG8CuniO9+FVTwGphc9RvkEvWsf6zoTmdK85yVJusYF/rsQVgc9Atlvu8TSrjvMAiM6scJNO7xSvDxk7CS8CZnkPHiMhjrYUg88x6X6PDmM6bw6LOY77SXAuzu5FL1pf+48qo+HvG9fZDz9ePU6+vj5O76CubzS4pg8EFlZPNmF3rxkfCU8en/TPLlCQDvZEg09j98yvCxZrLoTRgI8N5mcu2ff8TwJJpO8oyJjOnVcibwcOUa85tXKO/zVprzGAiy8RwkBu2l8nLxxHJC8DKYOPXeMBr3Schk8wJI1vXIvXryL77e8Yd96O+/FPL0K5pC7LTmrO2l8HDyrUte7nbJsvNSClTxGSYO7no8Zve0FvzvfggO9XSywu4+/sbt1XIm8P/mNPK9STrxDPFm6mW8hvUfsUbwtqaq8n2+YvBhpTD39RSa8gF/JvAO2HDza8os8rZylu36AijzMXk+9ZRvLObljrLxi5jU83LhAvJ1CtDq9wAg4aIbuvH2O0TwXqSK9M+Uhvcfmaz0qv0w9+AGAuxhYDTwHu808ack8vOz3Kj3L5fI6IhLUO4FyUbxWBCg9ux9lvWE3yzxNL2g8K1OwPJletD1lh+c7BifqvGGI4LwfVps89ypOOFd9hDw/QAy7MwApvRy197w0eQW8gKjfvHmq0bthHES9NqFavP9rqrtL7As8diQnPCISVD2t0rO8wx3zO3IKGT1lh+c7VgSoPKf8+rlisCc9ZyiLvU48KL2hJjS9ereRO+tIQLzzl+O8pMflPKEmNDpGqja98ytHvQc0qrlnKAu8V7OSOUs9IT3P5Pm8wvWdvNvTRz14Fm49ZkOSvTf/LzzTQVa9H1abO894XTy4z8i6/9dGu0gjE7ztVQA7B9bUvOzco7yCmpi8BOSNvIhw37j/obi8w8zdPOgusjy9pQG9XPV1PfxsIzxelhm9x7BdvcRgwTx+c0q9ZYdnvEKQKDvmPHk84wdku0rERD1+ZQO8aRpSu/qV8bxLPaE91J+rPGNfkrwD1827pYMQveQvq7wSZ829vfYWPPMQQLy5Yyw99pbqvHRNdT3JopY8VlW9PJ6gibxnQ5I8G963PHzfZr38bKM8SyKavEmc/Tvzl2O8jc07PaXUpbumTYI83fsOPRQWODyKEYO8M+WhvOfQXDsrHaK8BvHbPD9AjLxL7Is72eGAOxVZhj0Yc5S7WaVZve8sQLwpfP688IoVvPgBgD2QAtE816x5O+5VgL3uBPm8jXymuo18JjxOVy+8Ula2PGka0jzTrfK7kB3YvH09vDz3D0e9O1yMO2cNBL0Pg8281f0APXwV9TwQkI08t4x6PR/dvrtHPpq86Em5vNsJVrxpNVm8RZ32u5g2bT12JKc70ybPvI4rETxuQaC8svmBvSs4qTtmlKe7YykEPYEhPD1N+Vk8uRIXvYEhvDx6I668Yb7uvE1l9jyCf5E85N4VPXIKmTkfcaI8rO26u6B3yTp5xdg6BP+UvJLZgj33YNw88xBAvENaGj2pgpc8GkpUPTkM/jyBBjW8/6G4PP9rKj0bchs9QuE9PRffsLsagOK8vSwlPb2lAb1hvu48FHQNPFuyGb3WGAi8F6miPHfTkTx1kMO5QU3aPYhwXzsEGhw9LxypvFX3Z7wrbrc8oP5svMB8QTzNhha9svkBPZ80+zweLlQ9RJ32vJdse72huhe90NYyO+mMBz1rJ5I8Mxswu+8Rubxelhk8eEx8vC+wDD3MQ8g8in2fvEzRhL0QdQY9PFwMvdX9gL0fVpu8foAKPSL3TD2sj+U8ZyiLPecG6zsxRH69WrKZOy83MLxCF8y88FQHPSdvML1B1P07COMUvD+RobvUujK8yA4zPIosCr1CkCg7biYZvGd5IDyGLQM8+6Kxu6ZNArxqQhk9rWYXPZGxO72d1pe8UWT9u6haUD0tD+k5O1yMuqRbyTwWZtQ8S9EEPXLvkbvj7Fy9Qz+TPPpf47wD18070KAkPbNXZbzXJVY8qCTCu8milrzNhpY8hc8tvD8lhbvZFw+8lg6YPE0v6DvZgyu8GoBiPQ6eVDzrLbk7YRxEPX2pWLtH7YQ9ADYcPAYn6rw5oGG8So62vHu3kTzzK0c7p/z6vEqOtjz+lPg8S+wLvX0HLj1ovHw6JhFbOoFyUb0tRXc7AihjPMwNOr3HHPo8qzECvYpHkTwCDdy7nruQvB0hhrwMrI0803dkPDKi07z0iZw8gKjfPBAyOL34iCO8+KOqvDkM/juNA8o7kXstvcaICDxLPSG8qdOsOxhYDbwI45S8P1uTPOT5HDukx2W91RiIPHYJoDysI0m8qdMsPUs9obwlffe8acm8vC8BojwzlAw8zA06PelxgD0ANpw9OQz+vEZ0qDyOEAo9aVDgPBMWuLy4mbo8oQutPBSPFL3x2yo9uM9IPU/rkjzRGQE9b0EgvLkSl7wgII28aRpSvB5/6bx9qdg8QyQMvREkf7x4Fm49YPR8OhuoKTyR58m8gpoYPPuiMbwnA5Q8ccfKu+tIwDz8h6o8wYmBvNW6Mr177R+9O3eTPNyduby4tMG84DCkPCoQYj1KxEQ8SWbvPKD+7Dyc/2U8R1mhvKjG7LxovPy8ufcPPVlvy7yZDZ88rHRevehJubypgpe7AFGjOrncCD339L+8dBfnvN37DjuRzEI9LQ/pvGZDEj0ZcxQ8nXjCu+CcQL1lNtK849FVvAQaHL3MKEE9tmQlPcBhOruE3XQ9ckAnvXK5A70TMT+82+7OvHqBAz34N447V32EvRtym70PaEa7RsU9vYmYJr34iKM6Fu33u3vtnzzERTq8cE5uvZds+ztlh2e8KAOUu0kV2jw4eIy8Pv29PEMJhb2odVe9uCBeOz9bk73cTCQ8/w1VPVI7rzvZ/Ac9g5qYvYJkCj33vjG9+BwHPbzOzzwCXnE9uCDePOtjRz20tTo8V7OSvGn/yryVX608St/LvMGJAb1Z9m48C2k/vKg/STy/VPq6gmSKvOdkQDz8G468jXwmPKvF87usCEI84DAkPBB1hr0MkYa9ooSJvRepory0mrO8beNKvftE3LwMrI07oFzCvNd2a7ytt6w7W2EEvJw19DxpUOC8SCOTuriZujyhnxA61f2AvJGxuzxOIaE8fSI1vNOt8juw0bq810DdOoLQJr3ntVW8heo0vfUdADxrJxK8nP9lPCl8fjy4fjO8AeUGPY71gjs0lIw8bgsSvd8+67iMVF+8xGDBPEmc/TxkRIs9FHQNPb32FjzcuMA8XVPLvNEZgbxZpVk8hHFYvHWQQzwq2tM7HSGGu/SJHDzUC8i85qiHvEvRhLxDdSG97nAHPMhfSDpDWho9Rqo2vHwV9bs35Kg8dVo1PVmK0jzAzdY7lw4YvZQc3zy5SCW8y+VyPV+xILy13YG9sNE6vclRATxpyTy8y69kPC/mGjuXbHu8QWjhvEIXTDwe+MU88MCjOxK4YrxyuYO8rI9lPWMphLzAzVY845tHPcUPLLyYAN+8dBdnvQJe8TxuQaC83LjAPDDLEzzdxQC9Ok/MO6UKNLxJFVq9Kr/MvJL0CT2RlrS7xCozPVI7r7rJvR29tOvIuheOmzqsWde7pJFXvKnus7srHaK6kALRO00v6DxwhHy8mXk7POjClbv4bZw7IvfMvL32lrtLIhq8oQstPVFk/bxAWxO8wYmBvFn27rwuUrc8gN7tvLyzyDuQbm0990XVvDeuGr0rApu8uH6zu53Wl7yCZAq9Z3mgPLA917xWVb07jG/mu0c+GruRljS8mXk7PLGbLDsWZtS8ExY4u801AbzrSEC8rZwlPXgWbjyKfR+67s7qvGaUJzxSVja8H6ewvICoX7qRljS8wLJPPCraUz1mXhm9KvXaPPE5gLtTz5K8rdKzvF1uUj0Lab8801xdvbrcCDmCZAo9yYePPLnBgT3gFR27JASNO2p4JzyRljS9b9WDuzUN97uSRR88fmUDPDrjrzx1q8q8YTdLPAv9Ir30iZw5bvCKvHWQw7ofjCm71J+rvFHdWbzpEyu8zYaWuzutoTxiy648Pv29PDtBBb0Da7G8nMlXvMccejxeHb08AihjO8t5VjypZ5C9kB1YPNdA3bziPfI8kDhfvFnA4Dwi98w8hKfmvNsk3Tv/obg8C5/NvG2tvDs+aVq9JX33ucwowbtpyTy8XsynvW1P57r4iCO9pMdlvGp4p7zYnrK8gVfKvMKkCLy3Vmw8JX33u1lvyzvB2ha9VaZSuyEgDT3pcQC8pmgJvZHMwjwG8Vu8tRMQvYZIijqNfKY6TlcvPeTelTxIIxO9uLTBu5qhAj2A3u27YRzEOwAAjjv/obi8NobTPA9NP7wHNKo7fY7RO35lA703NT696y25PG53Lrz0OAc9V32EPKkJOzz02jE829NHvIw52LzUaZ08ikeRO3JbLrwwlQW8BSdqvKlnEL0K8OI7sS8Qu2blPDwP4aK83LhAvLZ/LDwmwEW8rWaXOU0vaLw2NT48z3jdu30iNTwyvdq8G8OwvBDGGzxhvu68+IgjugdPMbnAzdY5v1T6vGdDEjzwVIc8XnuSu9Nc3Tt9Pby8angnPTutIbt77Z88nUI0vOe11TsUdI28HDwNPWoMC7vnms44waSIO0HU/Tt+0R+7y6/kvGMphLyDmhi9Kr9MPA+Dzbvh3467lDdmPN+3x7sq2lO8imKYuzMAqbqNzbu9vGKzPI4rkbzQJ8g7CBmjO3LvET3hxIe8+ByHPN50ebxP65K8ic60O2D0/DwdIYY8WCz9PPwbDj1RLu88AijjO45GmLyvxHq8F9+wPJmUwrutt6w7oUG7vBhYDb1ud6688KWcupyuUDz4UhW8mK/JPMZtgb0/W5M8EHWGPHnF2LxM7Iu8eiMuvDpPzLw+4ja8clsuPK1LkDy8mME8B9bUvMvl8jvd+w48/7w/vNE0CDvSNIg8jQNKvUkVWjoVWQY8xYgIvTXX6DsLab88xGBBPZl5OzrU1bm7lObQPBOqm7zNaw+8YnqZvO4Eebwz5SG8WcBgvGKwJ7vjm0e8EST/uVKnS7wo6Ay9PhhFvB4uVDwE/5S8W3yLOi1F97vgZrI892BcPK+ObL2VX628geutO16xID0T4Cm8fBX1vLXdATwjcCm8ExY4PfNGzryGmZ+62GikPB/dPrlB1P07zPIyPGKwpzz9Xmo8SwcTvVgs/bsrOCm8Ohk+vX+bkTw35Ki8hmMRuyZHaTsfwre7IMI3vBDGGz16t5G7Kr9MvLnBATwqEOI8AihjvDaG0zvhqYC8D/wpO1OZBLxKqb27hSDDPPrLfztud66803fkPLjqTz1fRYQ8KhDivJHMQrz4bRw86PgjvBw8jTyMb2a83fuOuwQ1ozxshXW8ihGDPArw4ruj/fO78s3xvPHN8Tr39D88q8XzvIxv5jvwpRy9lg6YvF1Ty7y4tMG8RWfoO0MJBb0Pg008CzMxPcArLD0Dhri8PscvvMW+FjzjB+S885fjvNHWsrrYgys93LjAPM+uazt4Fm478IqVO0HU/Tz/8k29Eu7wvFHCUjw/kaG8vaUBvK1mlzxYLH26Zq8uvYW0Jr081XY8FHQNvUM/E73kZTm885fjur72lro5oGE9E8UiPVyXEr1Ow8s8Rqo2PbV/rLz3Kk486MIVPZQ3ZjzTrfI7driKOt+3x7zB9Z27PZ9oPQQaHLyVXy28Aijju1H4YDwHT7E8in0fPe8RuTy7H+U8pZ4XPGU2Ujvsiw48C59NvJQ3ZjtlAMQ8+/PGPEVn6LyZlEK8kkUfvHIlIL1aOT08AijjPPdgXLxGFlO7qHVXOyYR27xDdaG7Wjk9vIXPrbz8AIc8s43zO/dFVT3gFZ03XsynPIaZn7xSO6+816x5PN/SzrxTBaG7FrfpPOstuTsPg807MUT+O/+GMTvoSbk8R1khvaZoCb1WVb080ybPvEsimjxhiOC73WcrPNieMrzrY0c8ui0ePLTQQTwyolM99ZZqvK23LDxDJAy9vEesPHF2tTzb7s66hbSmu9TwwDvARjO9xfQkPc2hHT1HPpo8Fu33O1WLSzy3jHo685fjO9hoJLwY+jc8xYiIPDKiUzwQxhu8rbcsvCAFBr2O9YI5y6/kun1zSrzcMZ07VYvLvOY8ebwpzYU8/GwjvPhtHD3Q8Tk8OoVavF2/Z72wB8m8hc+tOxB1Bj2QON88tDzePOe1VTw5DH68z11WPHCEfDxCqy+8OQz+vG6SNb0lffc7Yl+Su60wCT2kx2W9D4PNvKvF87vSNIi8nP/lvJWwQrz+KFy7N64avAjjlDwiLdu8ApR/PH5lg7wlR2m90KCkurFKFzygyN47K8yMvCbbzLxjKYS66Em5u6nTLD2AFPy82z/kvDo0xTxSO688l2z7u24mmTxpUGA8kedJPEdZIbwANhw9FHQNvIeZHzwVWQY9+FKVPNi5OTy7H2W885fjPBeporv7RNy8KhDiO/SJHD0UdI08yHpPvSc5ojxuXKe85Y0APYKamDztzmq8xEU6PHl0wzsTqps8mUOtvHwV9bytZhc68IqVvMkOszqavAk9x+ZrvHl0wz0zyho8yPMru1I7Lz3jgMA88/W4u0Q/E7wTMb883cWAvEN1obxg9Hy8rAjCvIE8Q7uoJEK7qHXXPOCcQLzkSrK9K1OwOWIBPTywWF474JzAu17MJ7wIGSM74d8OvY4QCrzwb467lDfmus9CT70ClH88C044PWIBPT3iPfI7aVDgu0mcfTzRGQG8B08xvPFUBzxwhHw71PDAvEpzrzx6gYM74wdku1KMxDtICIy81U4WPf/yzTvzYdU7YVLSPIFXSrtjvfU7G8OwPOD6lbz+Xuo7St/LuwAblTy2+Ai8x+brvHLUCjxt40o913ZrPC8cqTzzl2O8Lr7TvPgBgDsHhT88jG/mujkM/rwy2GE88FSHOoimbTyRzMK7ovAlPfMQwDusPlA6CMiNO++YXLw/rCg84EurPFHd2bxJZu88C5/Nu048KL1Kjra8rHTeulv19TvwwKO6aVBgPCXpBbxSVrY86XGAO2LLrjsK8OK8nqAJPYnONDwzG7A8wGE6PBxXlDy6Y6w7s1flO5z/5bxVwVk8VlW9Ox/dPryU5lA86C6yPMArrDzoLrK8QU3avDpPzLzjgEC85qiHvB1XFDzw9rG8BBqcO3adgzwG8Vu9XJeSPP8NVT21+Ag7HklbvT2f6Dw3eAy8B4W/vEsimjkpRvC8qD/JvOWNgDx8FXU9Aijjuyq/TDrfCN27/FEcPGD0/Dt305G8CvBivPw2FbxHCAw8BP+UPATJBjtjRAu8UlY2PLX4iLy0PN47E8WiumpCGbsz5aE8uOrPuo1hHzuZDZ87crkDPT8lhTslR2m83YKyurpjLLx30xG9kbE7vFWm0rykQMK7qbilOzmg4bxnKAu8xdmdvOjdnLxhN8u8heq0O3Y/Lj1trTy5iKbtu8m9nTz6X2M88duqvD2f6LyhQTs8MMsTPM01Ab14Fm48fanYPCIt2ztDJIw7P5EhPLncCL3AYbq8BvHbuq2cpTw+ado7qkwJuj4YRTwI45S7lvOQvOz3qrymuR48UWT9PEaPr7u46k88+aMqvE/rkryxgKW8heo0vdhopLvUC0g8I4swOxlzFL0AUSO8UozEvF57Ert4Fu4813brvNNBVrwnVCm9eeDfvHLUCr2ihIm8JX33Ow/hojrb08c8xQ8sPGkaUr2Rey08w+fkO4oRAz1EJIy8G6gpvIoRg7wMkYY8+9i/u+1VADxxGOA7STBhO6Ss3jyW2Am8yfMrPQdPMTyBV0q8uJm6POTDDjuA3m08ba28O3H92Dx9IrW8/4YxvZQ35rt+thg8jhCKPNE0iDt7t5G8RwgMPK4VAr183+Y7KzgpvHK5A7w11+i8ofClPAufzTygrVe862PHPEQ/E7wZcxS9SvrSvN1nq7xGjy88rO26u98I3TwxRP47JzkiPBZLTb28R6y85N4VPOzcI71OjT28Kok+vMfma73sErK8NHmFvE0v6Dwuo8y8lDdmPOGpgLwK1du8yWyIPKG6FzwGXXi813ZrvJ6FgrzJUYE8dBdnPK2cJTrZMhY9TnK2PHK5Az2Qbu076YyHPCc5ojuW85A7WLOSu+TeFTydJ62899k4u/SkozzARrM8MQ7wu6SRV7we+MW8jKV0vMDN1rtC4b27Rz4aPCL3zLvbCdY84akAvSItW7xnDQS9td2BvGNfkrzhqYA82wnWu9W6sjrUnys7O8goPCdvMD2xLxC7zYaWPNxnKzuehYI8rdIzPfTaMbz9Xmo8e7cRPOY8+bu8mEE82vwHvI5GmDw4/6+6frYYPB5/6by9Ryw80CfIu+99Vbzs3CM8jiuRPKnTrDsmwMU8Dp5UvIxU3ztg9Pw7TGV2PKztujxG+8u7WcBgOy6IRbx0F2c6zPKyPMQqs7yhn5C7mteQO9TwQLwLM7G8BifqPNSEJL1CxrY7zNcrvdX9gLrV/QC9iQTDO/S/Kr3h3w68tvgIPLEUCTvgS6u8z65rvAzimzx+ZQO8xb4WvU+1hDzn0Ny8zYYWu6mCl7sH1lS8QZ7vO2cNBDzggbm5LtnavEpYqLyFIEO8iiwKvNVOFj2UbfS7Zw0EvWNfkjxisCc8GJVJvCG5Az0xzSi98uO7PLfeXrxpnBg8Q4YBvUIBo7se0ge8lWoPO6GBoDzHQfW8g+DSvAKdFD3UE1I9x9xrvIFFXDz6E9E8+Xhau4p/Lj1iE1W8SWoRPZOZq7wVE1c8leUwvYB+tTzvd2G7TMwuPIXRiz1lEGm8OtENvT8wv7wMAxc7lED9u0ysWbptFE67ldtzvSN2bb1HeVi8YP08vexB9DsJ3HC9TMwuPN5NpLw14FQ8MDKyvDSq5zyanZC8gQ9vO0XonjzEFcW8jgEhPYi4BzwcDX89hKd5vR/eYrwgmS69vjG1POhOnbzFpv68Gss2Pep6TTy3Yz29u9vyvHrmKrz5eNq7+UJtPCbshDwYfzG9pEhHu7feXj3S3WQ93k0kvV9Mrjw+BI+9AQKeOylEZTx4/y48ZrWcvAjc8LzPhQS8mnP+vJ2EDL0OL0c6cJbAu4eYsjzqhIq8XACpPPbgzzy823K7FTMsPSK5AzwRIAC9X0yuvDsdkzzUE9K8SQUIvExH0Dyyq126GRBrvFtPGj1IQP+7WX42PBEWQ7sMA5c9AOwFPaIcl7yXEeG8Dy9HvCkOeLySeda9NoUIPeizprusYkQ8BN/cvG0eCz3WSb+8Tg53PFccmbwIgSQ8GbUePchrB70fTSk8F9p9u/4aorrYGiO86oQKPVzqkDwgHo08ylIDPc2q4zzE39e76Knpu0IN/rwA4si8KBi1PJd26rzXdW87TOwDPO4clT1HuQK9cbYVvVq0IzvZRtO7KQ74PJnsgT1Q31o8l7aUOxAAK73ud+G8xJqjPEb+NjxJgKm8rXhcOv8aojyD4NK86LMmvPBSgjzGpn69C0jLPH23jrzXfyy8+84cPeedDjxTQXg7NU+bPUoboLzMfjO8OnhfutsNery+rFa8vRFgvOsVRD3zqmI7ohLaO1YS3DxaqmY7ZZ+EvavRCj3RQu6735mpPKF34zwmZyY8AX0/vI8NfDxllUc87zItvZe2FD2XMbY8GlCVPJxOHzwMdPs8y2gbu57fWLkAZ6c7zuBQvIOFhj2x5LY87hJYPOFKODxPycI8bHlXPR7IyjuAL0S8/eS0PILqDz3mApg96BgwPflCbbxJ23W8dalsPT1pGL3bnJU8WqpmPFp0+bwyfje8HXxFPKaUTDzLA5K8wRixPajgUby+UQo9ppRMu6TNpTvE/6w8YeekvAoSXjzrmiK9OUJyPK64Bj2AtCI9OUwvvdKnd71ETSi9zQ/tPEHrCjx0DnY8gUVcO53fWLtmq987YN1nPPin9jzFNRo91RNSO3gfBL3UE9I7HIYCvQVkO72nOYC8LxwaPdwBnz233l482VCQPUaDFTyid2O9NC/GO/Xgz7ttFE68QnxEPW15V7yEp3m7PDOruJriRDykUoS8BYQQPLRmKb3OT5e7ixolvK/OHj3BGLE8zmUvPANOo7wb4c48zJ4IPGx5V73ZRtO8t95evCt6Uj063ei7k7mAPBtmLTqZ7AE9/Np3PWBiRrvO4FC9CNxwPGUQ6byYUYs7qKrkPKDQEbvW2ng8VhyZu9AAJjwKEt48kv60O30SW7tv23Q6R7mCPKjgUbxEQ2s8n6b/PCWsWru3yMY84dtxPZhRC7vVmLA9abIwPEb+trtBZqw7DjkEvXyXuTtC4U27wTgGvG/lMT1PRGS7x2HKvAPJRD2Anoq7mg51uR/+N70D04G8oXdjPIZiRb0Zq+E8WRmtvNgwu7yytRq9+NEIvejJPrzBqeo8G2atuxCFCb17d2Q8XODTPNFMq7uigaA5hLG2u1zg0zz/GiI8ZRDpvP6VwzxKdmy7qQAnO1IfBb3u3Oq8oEszvPvOHLwr/zC9NWWzPH2t0TwRmyE5tOFKPQ8vx7xGFE+9ZAQOveizpjrEmiM7LdAUPYOFhj33sTM9kUNpvR18RTyYzCw9JVEOPTcWwrzvt4s7Dqrouz+1nbt63O08rf06Pctomzs60Q090TaTO3JRjLx60JK8+NEIvSv/ML0DyUQ9s8syva64hruKBI09t95ePLGfgjy5Hgm93oMRPCv/MLwTsTk80UyruwoSXrw60Q09mJa/vCbix7xirku9mnP+O3QYszmDhQa70bG0PJCocj15sD08a2O/Of8QZT3IEtk8cfvJOzlsBL0LaCC9ZHXyPPlCbb2o6o48juFLvZd26rvLaJs8aIYAvchrBz1E0oa7dslBvNefATw92nw9w2Q2vVNLNT2UFM28ITSluZoCGr0WziK9iK5KvA/g1bxcACk8L5c7PavRijy8BYU9eR+EvfjRiDrnc3y8RENrOwawwLsZEGs8bs8ZvSAeDb34Qu06Rd5hvXwSW73PAKa8wanqvEXonjx3etC8L9xvvcGdDzxSH4W87LA6Op+m/zw0L0a8pM2lPGfhTL2afTu9ybcMuTS0pL0retI8Y9r7PDxTgDrrHwE9meyBves1mTx1sym9NLQkPcpSAz160BI90t3kPIp1cT2nTxi8/rWYvN6DkbymGSs9ERbDuwVku7xc4NO7vHZpvNFMKztteVc8/Em+uqe0IT3s0I+8qGWwPJRKOjosNR67+XjaPJRKOr2vzp69Iko9vQkS3rsfg5a8Uh8FvW9qkLxpqHO8q0wsvEsxOLwWU4E7fBJbPPvOHD20Zim9a+idvJOZqzzqhIq7AEfSvANOIzxj2vs8TOLGuybiR7slUY68TMwuPG7PGb246Bs83uiavFkDFT3dQ2e8yJe3PLTrBzwpTqK8U7C+O8QfAjvjEd87wS5JvQtoIDyIE1S8UYQOPRJCczyYR0494oClPBwN/zrMGao8j5yXvOhEYLxOGDS84xHfvCK5Azx0DnY8Uf+vPHyXuTzsSzG8wk4evN3IRbwWUwG9VxyZPLpA/Lsq6Rg98p6HvHkVR7x1qew8xXrOPCZH0TxtFM462LUZver/qzt9UoW80UJuPb4xtTtZaB69BOkZvUr7SjzcNwy94gUEPV6xt7zxfjK9kLIvvSQbITxh5yQ9EIUJvKl7SLzy47u85KxVPd1D57tkdfI7euYqPZSvQzt7BgC9jbWbvTzOIT2xEOe8cHZrPL9HzTupACe99eBPO1NB+LtkdfK8KmS6vKOtUD1ln4Q74gUEPcdrh7xtede8ODYXPHdOILy1Dfs7QzcQvIFPGbw16pE8vGoOPPyuxzxLtha9LUF5PBLRjrnEhAs8cfvJvMfmKDyx2nm78QMRPRZJRL17d+S89KpiPOFqDb2ilzg9lvvIvNGxtDtxrFg9z0VavMECGb2xn4K8aRe6u3Sdkbzx2f68ppTMPKqxNbrO4NA7F+Q6vOedjjvi2/E7A0TmPNFCbry4gxK8inXxvEc0JLwKrdS8bbkBPUIXuzoId2c8UzUdvMvjvDus5yK8ULMqvXmwPbqAOYE8gU+Zu76sVj3vrU69/hBlPF9Mrjv2m5u8ZRDpvEoRYz2eHwM9rq5JvehEYLxLtpY8p6pkPFdIST1gghu85MwqPMeBHz2r0Qq9TMwuvFl0eTzoRGC5yPzAPCd9vjwydPq8my7KPHeEDb0YdXS87dxqumF43rwwEl28ohyXvOSs1bzuHJW8javeOu78vzxXrdI8wQIZPTJoH73cqPC8m50QPJxOnzyRTaY80UwrPOywujtesbe96x+BPKHQEbyW+0g9H/63uzC3kDzu/L88s8uyvGWVxzy5mSo9vlEKvWZQk7xWlzq9zBkqvI3LM7zoOIW6v2eivS8cmrybDvW8rriGvLUNe7xlEGm8fJc5vUZjQLxISrw8IBTQu1p0+bwYfzG9oXfjOwECHj08zqG8wjgGveMRXzwDTqO8EACrvCXMr7ug0BE98p6HPCnTgDtCnBm9qGUwugIYNj0+f7C8ChJePCv/MDyoZbC8A06jPA/qkrw7HRM7QeuKvNN427xcZTK9W8q7PGBsgzszD/E8zarjPFmeizwSQnM8T04hvFRrirw14FQ8fTIwOwOdFLyNRlW8b9t0vOFqDb2IuAc8bP61OxUdFDz+EOW8ykjGu7pAfDwVE1e88pTKu9gaI72AOYG8lEB9u8gSWTo16pG877eLvHeEjTs8zqG8nemVuqvRCrs/nwW8g5uevFV3ZTspROU8KQ74Ozrd6Dr/MLq7p08YPYA5gbwjBQm8FZi1O7xqDjxGFM+8wQIZPeLPlrvRp3e7+XjaO7wFhTxF6B48p8q5vGmysLzkthK9PEnDPNefgbydZLc6j5yXu8yUyzyNRtW8JkdRu+xBdLw8HZO9my7KPI3hy7wm7IS86emTPCuEjzxMzC47Qg3+PE/JwryydfC8YEJxPKhFWzyoZbA8SpbBPMgcFj1uQH486ERgvId43bza64a7JkfRPIZ4XbtIz5o8bRROvAvNKbwqZDq8VzKxu1BkuTtpN4+8t+ibOzCtU723yMY7Fa5NPB03Eb1tFM46nMlAvNfa+LzPhQS7uR6JPHCWwDyUzxg9T06hvME4hjzZRlM85w7zOi8cmryGbII7WZ4LvZCo8jszngy8rrgGvaH8wbtJBQg9JwIdPRWYtbudhIw7R7mCPDp437zMD+07rXjcOt7e3bvXde+8OWwEvJOZK7oTbIW8bRTOO4CeCrqTmau8rRPTvOzQjzuBD++76Klpu8kyLrz9BAo9OBZCvOIFBL00OYO8ovxBPJHoHD0yfre8A8lEvamFhTzUrsi7wsk/PUZjwLtzApu8a0PqPE1RjTwNng26/Em+uuA0oDznc3w8cBHivIuVxrtHr8W8F+S6vPuuxzvbAR+8RMhJPPOq4rrHawe8FbgKOU1RjTwDDnk8dS7Lu66uSTzE31c8inVxvP9Qj7qfNRu8guoPu4ufg7oCGDa8XrE3Pdyo8Dv43WO8SYCpPIPqjz2sbIE7JRHkvKIS2rvPe8c8761OPMdrhzwvHBq9QesKvPszpjxr3uC8KQ74PM5lrztHuYK8ykhGvNUTUrut/To8CZc8vWtjPzwj+0u9t9KDvFTmq7wVrk289U8Wu37jPr3EhAs8MnT6PHAFBz14miW8y2gbveA0oDy+tpO8k7mAvDlMLzxB6wo9cIAoPfWFgzxtFE4887SfO8d3Yj3MAxK9dA52vL5RijwLzam8gso6PPBSgjx5sL07x4GfvJsYsrx+4747meJEvd8eiLyTFM271km/vAWaqLyfsDw9UXpRPaOt0Lyg3Ow8etxtPT+fhbz+de454gUEPWCCmztj5Lg84s+WOxfafbs2e8u4ofxBPZjMrLxhHZK8WGieu3pBdzyAqmU8+pgvPRfafTxhmDM8DqpoPCk4CjxWrVK88y9BvPIZqbvq39Y7XIUHPftJPr1ytpW78pRKvE3ixry9Gx28550OPTqCHLz/MDq8SXbsu4ufA73nnQ68V63SvPtJvjv3sTM8R69FOP6rWz2XEeE7/QQKPQ/gVbzqhAo8WeO/O43riLxbRd071LiFPPAyLTyg3Gy71Jiwu2UaJjwXaZk8KdMAvTVPG733NhI9JazavCkO+DsZdXQ7rN1lPEM3kLy8BYU8x0syPEu2FrzsQfQ8P3Xzu7PLMj3s0I+8dansPJs4B7uQ0oQ8eB8EPFM1HTwj2/a8F2kZPXGsWD1SH4U8AOyFvD+VyDtEyMk6oXdjvBwBpLy0Zim67xwVPKo2FDs8ScO8ywOSvCnJQ71tr0Q8SM+au45mKjz1hQO8vHZpvOMbnLx9UoU8RpktvDAGAj2yGqS6IB6NvDzOIb1Gma28vHZpOz+fBT0HNR88hULwPGgBojz6mC+8XrG3PHuBoTyiHJe8i58DvZcR4bwQhYk8ohwXvDaFiDzEmiO9TOJGvFo5ArzsS7G76WS1vJcbnrzq39Y6NLQkvPc2Ejxn4Uy84s8WPK64Br0L40G9HBe8u10WQTtryEg87hJYvLkeCb1jziA8DH64vAkcGz0e0oe8wZ2PvMtoGz1r3mA9pg9uvB2ysjz6E9E8pQOTOkzsg7yENhU9mgKavLVmKTwe0oc8158BPRvrC7s3m6C8OtENPXZkuLsA7AW9cAUHO8q3DD08M6s8UKntvC+XOzxKGyC8QpwZPeg4hTyac/67Mn63OxEWw7zL4zw8nt/YvK1sAb2S3t86fkjIvBEgADxkaZc8lWqPu/DNoz10nRE8zA9tvCwVST2NUBI9EIWJO4b9u7w60Q094xucvD+fBbyDhQa9ixBovNlQEDxJgCk87hyVPLKr3bvHQXW9REPrvGz+tTxAUJQ7P3VzvGIzqrtpnJg7y2ibvNSuyDoAR1K8vOUvOob9O710Dna78X4yPQNEZj3igKW6/8uwPGKuSzpHuYK86E6dO4cT1DtMR9C7yPzAvCrJQzxEqHQ8NUXeOyt6Ujzq39Y6Vq1SPRCFCTutmLG6HAGkO1PQk7uZ7IE8hnjdO084ibzvrU48GrUevJVqjzy1Dfu6/qvbu/qYrzzqZDU9RMhJvLvlrzzL4zw73ugavYA5ATxk2ns8hxNUOxI2mLw0qme7E2JIvE4OdzyDAKg7QeHNPAq3kTridmi79eBPPIrkt7yDhYY8v0dNOwtIy7y8BYU8MmgfO5A3Dr2eFca8w+kUvLHktrwE6Rm8itp6u+Ss1buzUBE96npNPMrNJLopROW8wQIZPYnOnzw92nw8pK1QPOVRCTykzSW8Bf8xPJ16z7x1s6k6pzkAPSOAqrpbT5o7OnjfPEnlsjy8BQW8VNzuu5sOdbyQqHK84tvxvFOwvjvBnQ+96WS1POnpEzyLGiW9nnpPPFqqZj2ac346CdxwvXrmqjzD39e6YN3nvOg4hTutgpm8cbaVvNCbHD20ASA9ixDouxvhTrxjrsu8TOJGuzuYtDxwduu67EH0uzxJQ7uw2nk8rriGPEnbdbxxMbe8bTSjuuRRibxaOYI8KdMAvJMeiroIBgO8c8wtvJMeCrzTgpi68M2jPAI4C7yTFM27wXN9O8drhzw16hG9y+O8vJYFBr19tw68zuqNvIiuyrwGNZ+8sRqkvIufA71KG6C8JkdRPMvZ/zwOtKW8138svE6dEjz85LQ7I9v2vOgYsLyAtCI7jw18u1Tmq7ymnok8tGapPFwAqTvs0A+8BZoovHQYM7wnAp28x0F1vIbdZjtLtpa7761OPFX8wzwkgCq8/dp3vDXgVLx4FUe72VAQPaZ097wcDf88S7aWulDplztvapC8lvtIvQfQlbxDhoE8Y0nCu1X8Q701ZbO8dslBvHgfBLy/ZyI9Thg0vFmei7yIrkq91tp4vI3LM71geF68gH61PDsT1juqsbU8rzOouwUfh73t3Go8V82nPO1rBj2AOQG9abKwvCQRZLzt3Gq88X4yu3dOIDyEp3m7F9p9PBPnJjxChoG7I4AqPXQYszohNCU7LdCUPKtMrLqTuYC7LUs2tku2ljzs0A+9c3N/vP6rW7zTeNu70ULuPH5ISDwGsEC7yreMPKBrCL2ac/67xISLPAKdlLtyR8+8c2ekPOFKOD2PF7m5D+BVPEzsgzibqWu9JbYXPMsDkrxM4kY8UN9avKiq5DzVmLA8x+YoPAVku7wCDvm8eJolvFu0I73EhIs7xab+vKOtUL0lMbm8c8ytu70bHT2x5La8Aw55PDsdk7zGS7K8nERiPJFjPjxce8q81B0PvGH9PLzCRGE8LUH5ORNiyDvWSb88I3btPKF34zxyR8+7MBLdPG9qkDw0L8a7dJ0ROnQOdjwe0oe8gmUxOymzqzzud+E87WsGvXAbH705Yse8SUo8O+3mJ7zwMq273v4yvMdrB7yAdHg8q0wsvWWfhLsJ5q28i5+DvOZ9ubzeedS7c8wtPDVlszuo6o46u69CvAVkOz2DACi9XRbBPFH/rzzT/Tk8Y+S4POg4hTx3etA8cfvJOxpQlbwE6Zk7DjmEvDAS3Tz95LS87hJYO7joG7xv23Q84vvGvDlC8ryiHJc8hx0RPDAGAjw/nwU8dBizuZb7yDzMnoi7PDMrvB/oHzyKdXG8imkWPNE2E7xGma078WgaPJFNprwkG6G7gRksPMfc67yuuIa8PDMrPUFmLL1Hr0W7WjkCvTqCnLz3sbO8pzmAPDyuTL3nc3y8Zsu0O/1pEzwmZya87EH0vKGBID1qQ+q72UbTvM7gUDx1Dva8SQUIvKtCb7zRTKu8JwKdPD4ED7unL8O60af3vPMZqbxdmx+7qgCnunQYMz2yMDy8ykjGvLzb8jt4mqU8T0doPFeT/jxPH0C8espQPEt4JrzAsO07mWggvdT2rDu+bjQ7CeC8PEcVYzzJYeS8V5N+vIyRnjwrioY9F4+WuvfwRjzIrLM89eRMvKryNT1Afv27Qv3uPB8DVbyJEi08Lcw/vW9kqTzlyxE8ObHYPKe+kz3GLcK8+ApYOwTIyLwbBXI89K6NvE+EoDwHrBo8o6YfvbN7BL0siga7lxHXvDvLaTurGl69ceOaPJbPnbxtSpg7cmIMPB7bLD3wWWG8p76TPMe6yjw7y+m7jB4nPZr1qLwj2Y89O8tpvQKuN71rPh69utWxPJ9D3Ls/Lq28n9BkPdubqTwCSVe9rNYHvWokjbxUxLw8217xPIcGMz0WHB+9+1MKvf6HLD3/r1Q9hF8ZvSuKhjypS5y9Dt6fPL7hKztb9kE70eqyO5NeQ7wrTU67AC/GvBe3vrzo14s8WU+ovLMWJDsm0Pm8fot7PDkWuTwhHWY8KjM9PbN7BD2xJLu8zt64vC3Mvzw3GNa8JyfDvHcjNz3LRbY6sxYku99OPT1aaTk7+ApYPB+edDtsMIc9JPMgPND4ybmv4oG87CW/vM5fx7xOR+i9Fu39PMcfK7vc3eI82LdXvMfi8jzZcwG9YXMWPULHrzzqGcU8T54xPckrJb2t1gc7V5N+PGd2erypPYW8WgTZPBHcAj3Z3/86c9UDPeUp+TyoHPu812eHu++WGb3GoLm8TAUvPIi747yzTOM6jW53Oj6hJD2TKIS8bg1gu3GmYrxVtiW8f1W8PJVClT1SRcs8gu4+O8SuUL0EBQG9148vPNwaG7vnqGq8kTabO66LOD2hjA69ySulvJFEMj2Qj4G978zYPGmXBLw7y2m8/KNaPH66nDw2s/U7GxqCPYsEFry8VKO87P0WvZYf7ryT68u8kI8BvbuY+TwwAGK8RdMpvDDYOT3Xjy88LpaAvYbeCjyF+rg8nI6rO/il9zyHk7s7d4gXvev9Fjxo21o8b9cgvWd2ejxA4908GA6IPPw++jsnjKM803c7PI9SSbwg9T28+lMKPIOjbz3SEts7IM2VO2EAnzvs/RY9zV9HPdmBGD3eXFS88hWLPMNegDx2bgY9MuQzPZTdNDwJe9y8ls8dPQlFnb0XqSc8j1LJuwasmrzxsKq8CInzPPgK2DszvAu9TwOSPZFEsrx8E4M8AztAvcmeHDy7cFE8o85HvLm7oDzvpDC9NVWOPKhZszxtgFc949kovTWZZL0eTqS8SV4VO9Bdqjzp8Zw8sW+Ku9TOhLzpjLw8lmq9OjlhiDwe2yw76+MFvMcfK715oii7L0sxveMPaL3ufAi9YQCfO0hsrD095fq79juWPaQzqLr4fU+9QLu1PNT2LDzBola8kyiEPYN7R7wI7tM8eaKovBBdkbujM6g76kFtPOwlP716vDk8YrVPvHmUET1Nkje7hjxyO4GJ3rwD1t87RZbxPHU/Zb19yLO8v9MUvbl+aD1Z3LC865i2O3/ixDzz8uM8J4wjPSl+jLvcQkO9xx+rPAZHuru4yTc8G93JPFZrVrx8EwM8f1W8vNxCQ7wGrJo8tuVluwasmryPt6m7sQoqu63WB7yvfSE8uX7oPCIPT7yPj4E8YsNmPXBkKbxERqE9S65lPO2Kn7wNoee7McoivYcUyjwrFw89e/J4vBIs0zzgTj28Th/AvJPrSz2NEBC8gMaWPBbt/bzuCRG8/r3ruvJlW73FO9k8ZZmhvNZnBzs+FJy8IuemvPAjojmbN+I88RULvcbI4byvi7i6gEelPJXdtDqPnRi8LgJ/PI6dmDwyL4M8jxwKvS5ZyDzPa8G8gcYWOzJJlLvBota7zraQPHAZ2rnT3Bu9WRLwO9Wr3Tyx/BI8JQ0yPZYf7rzkAVG9215xvLSVlbwWtz67M7wLPWkyJD1cq3I9oU9WvbL8EjnXxW49UkXLPJycwrxbzpk7DMSOPBBdEbzx2NI8speyPAM7wDtjGrA81XUePPdVJ72XEde8afXrOkLHL72gwk09HU4kvUaI2rvhpYY9Nwq/O+JozrwyV6u8pDMoO4+PgTycAaM7/D56Ozn8Jzu25eU8PJWqu3nKUL3eXFS9/OASPZ0Bozqpm2y8Th/APO0XqD3Qa0E8DyBZu9adRj3tssc83lzUu6vkHjvFSfC8nvMLPXJiDL3LRTY8itV0vWaLiryXdrc8XIPKu5ie3zwSLNO7NWMlOsSuULww2Dk9HcEbvRKRszxj3Xe88UvKvJycQr2PjwG8EdyCvB3BG73jD2g81atdPflhoTwgnnQ9g0WIvWIoxztaQZG8LD83O4WHwTwx8kq7ZhgTvR9ADb0kATi8j7cpvf69a71RggM7zhT4vGK1zzrxS0q8fBODvaNbULwXqSe8mHY3O3NiDDveXFS8JQ2yPPt7sryZ9Si9y0W2uyf/mr3QNYI8A3H/PCDNFbwO3h89YsNmvRmbkDyfmiW9IPU9PTcy5zyZkMg8LyMJPHWkRT1wJ3E6ZYsKvQrSpTzg20U9YXOWu3HxsbyA1K27gnvHu/ok6TyauHA7MNg5PDZ9Nj0YbO+8YXOWPCBaHjxsvQ+96f+zOy/mUL1WtqW9Zk7SvP5fhLyVXCa8OWEIvLoggby+Mfy7fHFqu59DXLwHngM8PJWqPL7hKzuCRYi8GwXyvC1n3zxMyPY65ViavAoI5TyPHIo8G93JvLevJrx8cWq84lo3uMdHU73ncqu8vO/Cu50btDykmAi8P1ZVPMjU27u+CdQ7nVHzO9adxjyDe0c8ZcFJvSQBOLx4sL87eHoAPUkv9DwAFTU9p/TSPCTzoDzxiAI9ECDZvDaLTbxfHE08hfq4vPt7MjydtlM9NP5EPK1jkDwhkF28NxjWvCyyrjol5Ym8sW+KPFrOGTrcGhs9j52YO3wTA71v16A8wRXOPG6o/zxFRiG812cHvQNx/ztrTDU7qgBNPRBdEbxOR2i9kWxavdfFbjyKOtW8ROFAPQkrjLwt2la9AZQmvZFs2jujph89qj0FO2DmjbzoZJS8FZ0tPVMPjLxDuZg8FXUFPUpeFbwvIwm99CGFvSCedD0aKJm85LEAPfQhhTsB+Qa9q8qNOzvL6Tv7xgG9XWecvIcGMz27mHm8aiSNPC4xoLxAu7W8YijHuuyKH7yxJLs7tJWVuwZv4ry+CdQ8B2HLPFUpHTxK6x29fBMDPcGi1rtS4Oo71CxsvGyO7rsYDoi8BAWBPKXawbxk/gG9CzcGPYUiYbxsMAc9yZ6cvBKRszpBrR49Yo2nu2zLpryjmAi9LlnIO54bNLwBlCa9AfkGPUftOrzKxkQ88qKTvP2VQzuE+ji88hWLPNpEYLyh6vW74r8XvUzIdryhGZe8wpS/POMPaDsmmrq7afXrvHGmYrzEEzG78T0zvaHqdby5fmg8jB6nPBepJz3rM1a9jiohPbhkV7ubN+K7LWffvESrAT3xsCo9DOw2vZycQrw/Lq08r7NgPYEkfj2mpII84r8XPLRm9DxxpuK8C1+uvOJaN7orFw+8CIlzPKOYiDyhGRe8/l8EPWWZobzgdmW7x6yzunh6AL2pgdu7UGF5Oyc1Wjw5YYg6fot7PFJFS7vLHQ49/ocsPVppOb3e9/O8Y42nvCFMhzwP6pk7B2HLu4wepzzswF69XWecOx3PMrwfA1U9LWffu9HCCj0Xt748ZVzpu0VuST2uJlg91Ub9vP6HrDqYnl+9GGzvOoBHJbyMkR69NuKWvWokjbxb9kG9bL2PvGqxlbw5ibC8FBAlvUhEBDzZcwE9KX6MvDy9UrzBFc68yZAFPIOj7zxK+bS8215xvSJ0rzxp9Wu8A9ZfvKvKDby3FAe86kHtPAQFgTwhgka9lsGGvHb7Dj0rTU69wGAdPEhSGzzDXgC8lN20PBL2k7zJYWQ8QjonvEThwLyfNUW9eZQRPCNmmLyTtYw8jIMHPTlhiDtn21o6B9RCvPh9z7xS4Oo7tuVlO073F7wUOE27HKcKPLkgAb1AuzU64WhOPBpQQTwI7tO8XxxNvBaPFj2ZA0A8PjzEuzttgrxFbsk52wCKvBZSXrtg5o28VXntvOXLkTwuloC812cHvEn5NLsNQwC8Jv+avIZRgjpGiNo8yh2OOx+e9LsJK4w7TZI3PQwi9rykmIg6BzmjO1XezTw1VQ68RW5JPceSIrwbGoK8PJWqPHOKtDzoZJS8d75WvNePL7ospBe9CbgUPZjbl7xQYXk8L7CROzazdTzdNCy8wsr+vCTzoLzMqpa9uFbAPDn8p7w3bx85tuVluw0GSDyV98W7vm60PH9HJbmOKiG9JzVau44qIT3Huko8z2vBPElsLD0Ok9A8oU/Wu/vGAb2rGt681YO1OQM7QDz/PF08mNsXvFwQ07zHukq8d5YuvBrDOLsROuq81CxsPCUNMr0IUzS85fO5POmMvLyWwYa8pJiIOrSVFb1Afn075fM5PJ22UzwJ4Dw9z1GwvEZuSTxjGrA7hwYzvGiXhLz4b7g8mrjwuxq1ITuNbvc7UuDqvB1cOzyXEVc9VrYlPXWkxbyIa5M8BfDwPIwsPrzAUga8Qp+HOgZHuruhT9a86GSUu5PrS7z9bRs8jW73OqTOxzqitDa8lN20vLZKRrzLe/W6djHOO2BE9bzngEI94jIPvNynI72N09e8fi2UPE5H6DzrM9a8j1JJvZx0mjz6Uwo80JNpPYPgJ7tBrR68EmmLPC1n3zuMgwc9Y/IHPNA1Aj0D1l88xshhvO8xuTq25eW88YgCvYEk/jzN0j48nClLPPh9T7uJdw08wLDtO6K0tjtO6QA8GwVyu8uqFrtaBNk8rmMQu8ficru4PK+7PqEkO7DiATuyiRu8Fu19PQv6TTxxfjq8fBODPGyObj0mDTI7vm40vCslpry4VsA85fO5u5Dt6DwaKBm8ag/9u3JwIz1ckWG8mucRPUSrgTx1P2W7/69UPE1qD7xOESk8moIxvZjbl7oYNjC9HtusvAdHOr3HR1M7qXNEvK3+L71LeCY8tDA1PT8GBTuZ9ag7E1T7vNA1grzhpQa7hjxyu4rVdDvxPTM9/9f8PGn1azoWUl48Htssup5DXD27xxq9Th9AumBE9Ts28K27V6gOPHtJwjwJe9y5qZvsvCD1PbzV6BU7uFZAveXLkbxlJqo6/BbSvHxxarwW7X09xi1CPUWW8bwcNBM95Sn5PG4NYLwaKBm65GaxPIyRHjx42Gc8TveXPN4MhLyHBjM8NrP1PEXTqbtx8bG7yDm8OzHyyjzHEZQ8PwYFPSNmmDxlDBk7CJ4DPcjU27rlKfk7CSuMu/BZYby2vT27W86ZPG6of72ZaKC6U/r7OwoIZbtt5Te7+dQYPQ+7eLwLXy68q1cWPBtqUr0czzK5nA+6vC+BcDz7iUk828NRvHtJQj0HrJq7Qbs1PS5ZyLzN7E+7HM+yPHJijLsKNwY8hVGCO0hEBDwcp4q71YO1uz9WVTvU9qw8ksOjvFc1l7zd3WI81PYsu9tQWrvswN47FIOcPIi7Y7xVxDw84jKPPON0SDwn/xo9afVrvHELQz2OKiG9mVoJPdT2rDskgKk8SV6VPKK0tjrwvsG8+xZSPenxnD2pPYU8Dd6fOcP5n7pJL/S5lmq9O7j/9rtAIJY7MkmUPP0IuzziMo+8tb09vESrAb3yyjs8mfWoOyD1vbvmjlm8m+cRvMKUvzvLqhY7XWecvHR8nTxp9Ws7Zf4BOyTzIL2WH+67eXoAOw+7+Dxf9KS7FhwfPHtJwjvsJT885csRPbN7hDtndnq8jbnGvPruKb2GPPI74HZlOg7QCD3Dhii9RUYhvDIa87utYxC88djSvGjbWrxO95e8bUqYvEjRDDwedsy8fKALPCD1vbxWGwa99Qx1vFlBkToIKww84NvFOg74ML2yl7I702mkvAG8Tj178vg7E7lbvPw+ejyHFEo93gyEvKe+kzyzPkw83N3iOl/0pLzBFc48LIoGvCuyrjwktug8jUbPOu7ab7yrfz68hfq4PI+3qbyEbTC9GNFPPNi3Vzzqps07IPU9vZbprjpX0LY7FDjNPCvAxTyN09e7VhuGvEThwLoDO8A57nyIvAieA71fHM076cL7vNxCQzyJIEQ8CbiUPP+hvT1PnrE74aUGvJO1DD3e9/M8z9Ahu1P6+7wCSdc8QyyQvMVJcLz3Vae8CFM0O2RCWDxu1yA8/G2bPKjmO7yPUkm9V8IfvAZvYjzbKLI7lHjUvNvD0bszDFw8bMsmvdqpwLzHH6u8Hk6kPLv9Wb3WZwe7l04PPW3lNz0P0Ig7waLWPAW6sTtVQ667ZouKO1PSUzv4R5C8K+jtvN00rDy640i89OTMPDFlwjvErlC76kHtPKXoWDvUkcy76GSUPDZVDrtcq/I7vRfru8R4Eb05e5m7GlBBvJcRVzypc8Q77DNWvOzA3jwvsBE9cmIMPG7XoDpRKzq8atm9vKEZlzwP6hk9E1R7u49SSbtiKMc7PJWqvFV57buK1XQ7cBlaPEbFErwIifM6hV8ZPDvLabyQ31G894vmujruEL3Jnpw8QCCWu4Y88rwfnvS8LgJ/vEnRjLwrJaa8bI5uvIZ5qjv4fc88kN/RO7/7vLyNbne8cFaSPIDGljzzV0Q86idcPBsaArvXj6+8XWccuxooGb2DRYg7HYTjPPC+wTmbqtm6qj0FPXygCzwDcf87/yJMvCw/t7zbjRK9NP7EvPLKuzuqZa28oU/WOzwwSjwCExi90MKKOFfCHz191kq7waJWvRZS3jyIhSS8GDawvGLD5juAYTa9148vO2yO7jwPhTk98T0zvAH5hrsLXy4856jqOxQ4TTw9Sls8lfdFPP69azoQdyI8k4brPMBShrubqlm8U5yUvKmb7LsK0qU8fHFqOf5fhLy1MDW7sOKBu6G0trxHFeM7txQHOz6hpLubqlk8bjwBOnJwIzys1ge9Qv3uvJjbl7wxc1m7DVGXOZIoBL1ERqG7mh1RvKU/Ir3lyxG9XxxNPFaoDj1sPp687HCOvIcGMzsm/5o81avdvAITmLxDLBA6zexPvL/TlLyXdrc8CkWdPPgK2LkEBYG8bUqYOuWO2bzctbq88sq7vLhkVzvp8Ry7N+KWPE5H6DxLhj282wCKvA/4sLwuMSC7wWwXPf36I706e5k8Xo/Eu4qftbzbjRK7LQJ/vftTCr1COic9fBMDvOClBr0tZ1+8ag99vLJMY7zfs527yWFkvFv2wbxJL3S99OTMu/EVC734VSc82yiyPLDN8bkgzZU8orS2uzvLab3ZRGA7GrWhu4Ui4TzjD+i8LaSXOmT+Ab19yDO86f8zPAQFgTyZkEi8uX5oPMq4LTw8vdK7pqQCPVeT/rpHFeO6/uwMvKbMqrwlG8m65oBCu1MPjDyWwYa8wRXOvHygi7yf0OS84HblPLtiOjykwDA8ZVzpPFfQtryG3oq89UktPEB+fbs0/sS8sfySPNxCwzxT+ns8VJyUO32gCztymEu9qxpevHgjN7u+4Ss8wWyXOYT6OD30ro08zl9HvB1cO72t1oe8x7rKu6PAML2uNO86AC/GvPRJLb2RB3q8VJyUO96ZDD0sP7e8Z7MyPPGIAjxPhCC8QSAWPaMLgDxxpuK8XBBTPE850bxHxZI8RmCyO3ryeLsWHJ88GDawPJYf7jxijSe55lgaPdISWzyoS5y73c9Lu9Ue1TwI7tO8/W0bvG48gTy4/3Y8SV4VvcB6rrvQNYK86n4luu2yx7rjD2i8HnbMuy6WADzeDIQ8JzVavPGwKjpmTtK8w14AvVfQNrnbKDK7FDhNOxgOiDxuqP+5FlJeuzqjQTyipp+8dQmmPOqmTTyvs+A8aZcEPDp7mTx8E4M8QOPdu1oE2bzNKQg8YER1vNHqsjwwAOK8EHeiPK2Zz7xvPAE8NrP1vHqUkbxC/e48NrN1O8Iv3zvI1Ns8aJeEu9zd4jxeKuS7Mi+DPD8GhTypm+y8CO7TO01qj7zHusq7UMZZPAptxbxx4xq8pJgIuivo7byJrUy8hVECPR+e9LwtMaC7mWggvY8cirz+7Iy8SdGMPDRjJb2Kn7W8KjM9O9f0jzyQ7Wg82XOBvDwiMz2/+zw8r30hvcUFGjrFoDm9HYTjO0B+fbz15Ey8NxjWPJ1mg7wpC5U8+1MKvXPvlDqitDY7n/+FvDvLaT2dgBQ7UYIDvc9RsDzJK6U8aPbAu0KyZDy8BmS8tVkfvMG1/bwWcrI8ndVTO9ikrTusay08GGuAvIz0Ej1LmSS8qLwTvUWkAD3Jo2890kQlPEP47ru9lE09jl0ivOBRcj2ovBO97i+rOn96DL0ZI6E8qCxVvWbTOz3NlYs85WYTPRyvNT23Co68Uh4HvMtU3ryAnRE8ZdptvIO+wTxbWbU8n/hYvRRW37xPT3C8ZqkEvaiXubz3sji9nB0zvM2VC70tkku82aQtvMmj7zx/XGS7ojcxPNpcTj1FpIC858+iPK2OsrzWOx49hQRMvUvD27wqIoq9x8jJPKJaNjzIgOq8JeWGPVGV+jw4oe28/wsPvff/dDyvP6G7jqWBPAj6gD170M+8QWUovM5wMTwfPZ89ocxMvdSttDwhXk+9tRHAPMkzLjwUdIe7J8CsvCfALLwTEFW8GACcvHSTTL1D+G480x9LvBuxirz3sji9tVmfO028qTsA7ma8RBYXPS6unrtG6oq8jYfZvMp5OD3uoUG9iCCfvOzpoDuovJM7iUOkvCXlhj1r7Tm7GACcvFYVgDzW8z49MhcuPbMTFTyy8A88XrsSvZyyTr3/Nca9KuHcPBz3lLx5Qua7DLDMPNcWRD1EG3Q7NOshPZmRHjw08lM7/O87PG9WSbw2eYs8vmqWPEXxvDx02yu9uOUzPX5Xh7y+TO67Or1APY0XGD2/b3O8pcPFO6tIqLxf5Um8PCilPKQLpbz/NcY8CmOQvENATj04nJC8W+cevbMY8ruOqt68Sgu7OjZbYz2dqxw9A3r7O9GRYb1s7bm8pVMEvR+oAzwJRz08tXwkPIaStTzGWAg8K0WPvJ7V0zyfXIu8KwTiPNMfy7zaf9O81xZEPYXalDzqhe68vo0bPUOrMjq4UJi8Ms9Ovad0tLyOql47ZNWQvK4cHD3aXE68a1ievFoRVjsqTMG8zAx/vSm+1zudq5y8lwM1PY06nTzEpxm6JX//vNHZQD3XyYc8UvmsvG0zxDxfCM88nGpvPFOxzTx+pMO7cyMLPKnfmLpg3pe726LYvEKILT2Etw89PpE0PXuI8Dy2Cg49baVaPctPAT3+xQS8MYlEPb/a1zwfYCQ9/1hLPTE8iDwtSuy8emVrPUvDW71LLkA8A1f2u0lTmr2hzEw8lb2qO8oxWTs+2RO8qgd7Pe1UBbx22dY8M4ISvVfwJTwxrMk8yHsNvKnk9btLmSS9Cf/dPDCz+zsZBfk8OAxSvderX70YTdi8yevOuxxEUTyTWXg8QI9fvFhg57x+pEM87aHBu/7KYT0lx166F90WPHuI8Lx126s8DlqJvMG1fb3Y7Ay92lzOPO+9lD2RE248Z0N9Pe3ufTwYa4C91aaCPGP/RzwQfQ67J+MxPYMppryWdcu7hEwrOwXerbzWiNq8bO05PN52TL1uCY08bHujuyQPPjwH+oC8qwBJO0VjU7xFpAA9XlCuPHJNQr3/oCq9VByyvLHNCj2uHJy7Z2GlPILjmzwRoJM8/1hLPY2lAbudiBe9u07DPIpmKbykCyU8f8dIPW3I37x1RpA8/1hLvBjdlrys1pE8AFlLOBR0B7x+gT675heCOtg5ybwLaG08fewiPTE8CLzEXzo8iAJ3PeVBuTqqJaM945DKvOsxALzI60476YARvFyfvzywzYq8xISUOxZPLTzcwAA9ZqmEvZduGT2xYqa8ehivu19zs7yjElc7TVHFOn4PKL1icd48hZnnu5+Gwrv6hqy7hZlnvI6lgbz0bC46zAz/u3CcU73XFkQ8PW6vPJPiBL2cam+8evWpO7skDLuIAvc835nROstyhrs8KKW8P4qCvOo4MrzgUfK7hrxsPGBsgTrDGbC9r9Q8PXyr9TwePZ87YWwBPaUuqjXsMYC9lS9BvXw0grtSI+Q81jsePfW5aj1kt2g9yBApvR2vtTu9RxE9i9GNPHG/2Lz/oCo8DNNRu4ht27ydjfQ8RDmcPPrxkDzV0Dk89WwuPKVTBL1dLam6nGUSPVTU0rxxKj09fs56vJVSRjvMKic9WRMrvH8yrTxS+Sy921WcPJuPyTyBToA8M4ISuyibUjxk+BU98ru/vGJHJ70V5Ei9cJzTPP3FhLz+ymG9YAEdOqiXuT18yZ08RKQAO9zFXT2ZH4g86V2MvB6KW7wak+K8iokuPQ2pGr1DqzI7C2MQvUKy5LsOWgm8DNPRvL4itzwvkPa8n9P+OtUddjz/NUY9xIQUvb1HET1QkJ066PKnvKVYYb3qgBG7MTyIvAhHPb3OcDE9htoUPSV6ojx2aZU99/90ve1UBbzs6SA7fvH/u/03mzyOFcO68rs/vVKOSL2BwBa8PdkTvXjSpLyndDS8VRUAO5pCDTxrglW8vE5Dva/UvLtPulS9eD2JvEwECT3YDxK8gXg3POtbN71Rlfq8znCxu3hEu70cIcw8GpNiPTkv1zvfLm093OMFvQtobbwOWom96F0MPSA7Sjzvmg89fleHPMvpeT0KQIs8588ivbZ8JDuYJjo9RceFu8vp+bxkjTG7+UX/O0XHBTy5CLk8y1RePGYgeD3Akvi8QbLkPDyTCTwurh47ck3CPBvUj73InpK9f3qMvUZh/rsYTVi8588ivbqd1Dr+xYQ71PWTvLHSZ7yp5PW79STPO5XnYTyoLFW8buvku0WG2DxmIPg8DD62vG8skjwO0fw8G7GKO1X3VzzMDH+8aso0PIlmKb0JHQa91kB7vG4JjTyVBQo4XXWIPJIxlrwrIgo8g5QKPesTWDzgTJU7wmEPvR71v7vGyp676xPYPD5J1TwhXk89RT55PNQYGTww0aM8O1LcvPlF/7wBNPE77XeKvA/vpDt+zno83+GwPPORCD1yKr28Y9xCu1GV+jusay29PQPLPHjSJDzRkeE8cOSyu+sxALxunig8Urh/PANQxDzFF1u84yAJvb63Ujxk1RC79JZlPS2SS7wWnGm9FXQHvbQ7dzzvmo+8VoXBPNUYmbzE9FW96s3NvLY0xTyrleQ8AHxQvMEg4rzzJqS8JMKBPZSapbz41T08uis+PfX6Fzzgbxq9wJL4vPdAojw2eQu9rrG3PJ0Wgbo1Die9RuqKPLMTFbwBUhm9y+ScvEIdST1k+JW6k+IEPbmd1LthAZ283gtouXaMGryMZFQ8yaNvO5tlEjzStOY8zL/CubXuujzlQTm8cAc4PB0amjuAnRE88ru/vEzD27ud1VO8WGBnPHQjC71dwsQ7GE1YvF8Iz7xWFQA9ABHsvK75Fjz4Yyc94pf8urwGZLyiWra8fc76u27rZLx889S8nkC4PCpMwbvWQPs7xTWDPAjc2DrqODI7GQX5PIjfcbwGSZK8W+cevApjkDzeC+g6GttBu295TjzhdHe7gU4AvVt8urxzIwu8jRcYvS5KbDxs7Tk8j8gGPHivHz0Devu84EwVPVx8ujpZg2y6bTNEvJpCDT1m0zs96/BSvUZhfrxWhcE8dUaQPLsBhz3IgGo8DlqJPOqF7rsS5h29DIYVvJW9Krw1OF47Td8uPIv0EjwFls68uOUzPEjFsLxC+sM7A3p7O3lnQLyuHJw8hHZiu4aSNTxzmn68thFAOzyTCTy7uac8sz1MPWUbG70zgpK8KpSguvgiejyNOp08HhoaPJW9KrsQykq9VffXO/ZH1LtqEhQ9eBoEvaMS1zx8yZ08mR+IvBwhzDwV5Eg99N7EvIvRDTwUVl+9D32OO+zGm7wM09G8Px+evQ43BL3rWze9HopbO2X98rwgGEW8cgAGvHIABryzg1Y98FKwOmFO2btzBeO81K00PNkPEj3PS1e6Z/ZAveJtxTtNBIm8tp8pvf9YS7zUGBk8ZI2xPPW5ajzGyh69NVYGvF3CxDzL6fm8TQnmulhbCrznOoe6Gv5GPYO+wTmfsHm8X+VJvGXabbs9A8u8yDOuPE0nDr0tIDU95hcCPHAx7zzjkMo8gOrNvOKX/Ly4es88WYPsO3jSpLtR1qe8vmqWvCR6Ir1CsmQ890CiO/ZHVDy0O/e8DItyvO+ajzw2xke84XR3O7kIubvTH0s84FFyvBshTDqUfP28cSo9u54WgTw3VLG8YiSiO1H7gbs54pq8olq2vM4o0rsHJLg59rI4u7qWIjvzkYi861u3PELQjLwcRFE8tDv3uyz9L7ysI067Ms/OPEc3R7wttVC8butkO6KilTz9p1y8Q/juvJMMPDw5L9e8jqpePKWgQLxbNNu7IO6NOngf4TxuCQ283ejivCTH3rts7bm9nLLOPN8u7bwg7g28Kv8EvKLFGj0zghK9DItyPLL1bLxgK9S8KyKKPJok5TzWQPs7+oYsPMbKHj3RkeE8miTlOyI0GL35qwa9e4jwOmo8S7yDlIo83MXdvEl90bxcV+C8GOJzuzXrIbyTDDy81kD7O7zcLL0vkHY7vo2bPMKLRrxqPEu80rRmuuNtRb00gD283gaLPN8LaDxR1ic9w2GPuxCnRTlIMJU8oPGmvC6LmTvxLdY8pVOEvKwASTy7JIw7uFCYvCI0GD3Btf0894gBPTGJxLxnzIk7UfsBPfEDn7yFmee7r4cAvQiyobuGvOy8kum2OyBgJLx9Ftq7nGrvu9HZwDsRoJO8LtjVu4MGITy1fKS8C2htu5PihLzRRCU9+PhCO2S36LwoTpa883Pgu0CtBz3Mcga9NltjvTd+aDzbolg8azUZPfb6F73hvNa7qeR1PG/ksjlZfo888ArRO8kzLjz7zLY8Q/MRvNAhoLuGvOy8AuACvdBu3Dxglri7V6jGuxjdlrwkDz48fKt1u1qm8TwtaBQ8N1QxvONDjrx889Q8jYfZvGvtOTub+i281ohaPMQ8tbpyd3m8WqZxPLODVjzKMdm84pKfPFc4hT21fCQ8nEdqvA2pmrzIECk4rNYRu1HWJzxGqV28CNzYugqNxzuTWfi8S+EDPYaStTv/NUa8+j7Nu345X7sYAJw8Gv7GvL/a1zvNTSy9emXrvOqjFr2x0mc8r4eAvHJ3+bwTEFU8OcTyPBkjIT3aXE4794gBva/UPLzoh8M6tjTFvP/Dr7undLQ8hbePPMiA6rvHECk8zCqnulxX4DwWcjK9QI9fvN/hsDyk6B+8vZTNO356DDwVeWQ8xV+6vKVY4bxaWTU8z0tXvXO4prxw5LK7+8w2vDSAvbsaKP48I6RZPUCth7wbKH48emXrPKZY4bvBPgo8NeuhPMy/wjwggyk8tDaaPHs7tLt8yZ08jM84PVjLyztMJ468DItyvBkFeTz3/3Q8DBsxPcdYiDwAfFA8Px+ePG9Wybw2eYs8BrnTu8alxLwDevs7MheuPCz9r7wDV3a8yOtOuznE8rxo7w48NBXZPF4tqbyHJ1E8BmwXPJcDNb2TxNy7v2/zvEQ5HDycau88DNNRPHCcUz31jzO8F7oROveyuLzqgJG78OCZPBYHzrzgb5o8B/qAPLXniDw0yJy7qt3Duz0m0LmJQ6Q8jPSSvDyTCb1TsU0892pZvDt1YTyUBQo8QIoCPX7x/ztpPMs8rvkWPeliaTyuHBw9hL7BOqWgQDxmIPi8gU4APWs1GTyoLFU8BHNJu5mRHjxl2m28BmwXPY06HT1PutQ8UWvDu0BCozv/6Ak8V82gvMbKHjvlZpO73OOFPMc6YDwrBOI7vSlpvLxHEbsKjUe7+UX/O5ofCL3qoxY7qJe5vN4GC7zXgag6QNe+vLRZHz2Vvaq7DmG7u6VYYb2V52G8yVYzu/f/9Dws2qo8hbcPPJ85hjzQtjs4xcqeOb9FvDudqxy8A5gjvapy37zmZD47ZPgVvGUbGzwrBGK92TKXvCWdp7ynnmu8RmH+vDXrobztVAW8XFKDvEqg1jui79G7Zf1yPNPXa7yVUka9AwMIudnHsjw/bFo8b1bJuyySy7xspdq7K29GvFViPD3IMy69G7GKvLdXSjzB06U8GE1YOmiu4TvnzyI9BmyXO/mGLL1SuP88lOIEux/1vzzFgr880LY7PK9pWLyk6B+8CkXoPDXroTvcMEK8vAZkvFk2MD19Xrm6kTGWvSsiCjyFmWe8g5QKPXG/2DytjrK5WBOru/SWZbxMUUW65YkYPOBR8rwbaSs8IMsIvXzJHTskeiI7eD2JOyZVyD3Jo2+89bnqu5SaJT2cHTM9C/irvPdAIrxBZSg8+vGQvCrh3Ly0O3e71aaCvH5XBzueOQY7+xQWPGuC1bs+/Ji91l4jvEbHBT0nwCw8mR+IvEqgVrxKoNY4d0Q7vSZVyLyGkjU6Xez7Ow3MH717ZWs8qeT1PFzs+zwMsEw8V/AlPApF6DyIi4O88lBbu+3poDzfBDa75xzfvOICYTzLVF68nEdqPKbmyjwRWLS80/UTPYDHyDypbYK7osUaPEZ/JruvaVg8wRuFOsnrTry4UBg8idi/vFc94rtaoZS8/afcu/QByjy45TM98QOfO7qWIrzxCtG8ABHsvNJEJTz115I8VNTSuyM59bthbAG8CP/du8D93Dux8I88H/W/PLLwDzzHXWW7kwy8ubQ797yfhsK8sxjyPFbNIL159Sk93DDCOwto7bw8KCW90x/LvCsiCry0Npq8ou/ROiM59bpcn787qU/au4ENU7xPulS8FnIyPYff8TtIWsw8P2xaO+/ExrsTM1q8CR0GO675Fr3rqPM8FFZfPPirhjsMsMw8GUamPL6NG7xyd3m7IMuIvGjvDr2w98G8BkmSvBaXDDwJImM7osUaPKsAyTzS0g69qeR1vGx7Iz0l5YY8Ie4Nvcmj7zwc95S8a8q0vN4pELwxPAi9mZEeuyPsuDvUrTQ9FCyoux33lDswGQM8eK8fPNZeoztmaFe7IIMpvFk2sLtgljg8RDmcPPsUFrxy3QA8JlVIvCXlhrwkwoE8jRcYvNVl1bvYD5I8A1d2vKKilbzNBU08h0rWPENATjzBG4W8jTqdPLSmWzxYWwq9hdqUvGoSlLxZNjC7NjGsO20zRLwFJo27ehgvvEp2n7wocZu8Td+uOxi4PD04oW289dcSvSXlhjyOqt48Y9zCvB4aGr17OzQ8ix5KO+VBuTtIDRA8KwTiPB71PzxD8xG8KAa3O8d7Db03fui8DtF8vDZ5Cz1B+sM6wYtGOXOafjyJ+8S79LSNvLuWorxxVPS5oH8QPUZh/rwws3s8DcwfO/NJqbwkXHq8gXg3vSTCAb1YYOc8LUpsu/59Jb3KxnS8XlCuvGYbm7uTWfg8cJzTvH3OertDqzK9Q0DOvGjMCb1yKr282n/TPFDd2Tx4GgQ9lHx9O+Vmk72v1Dw8wfYqPFtZtTwleqK86D/ku2XabbsDens8UxwyuiGmLjzKMVm8OnCEu8dYCD2s1hE8i9ENPeICYTzrMYC5kPDoPJPihDt5Qua67e79O56w+Ty9RxG9hOHGvCsEYrxD+O65hHbiPG3DgrzCrsu8hpK1PNaI2rznh8M8cDFvvP+gKjw2o8K8GSOhPL630jzuDCa75PuuPDCz+7sbIUy9fhZavEsuQLyvjF08XruSvF0KpDwe9b+7A3p7vBji87wGAbO7y+l5PPTexLyQ6ws9ntXTvHyrdb0JRz28nB2zuw+nxTzUii+8RDmcu58bXrzqFa28cgAGPdWmAjxPT3C816vfvGJHp7zHWIg8PCilPKm6vrimdok8VWK8PGtYHj245TO8xu2jPJVSxjtQ+4G8X3OzvPMmJDxTI2S8OgUgPOzL+DyFmec8yaPvuwAR7Lxhj4a77Mt4vL9vc7zeKRC5HRqau2GPBrtzuKY8AuACvSwn57zvmg+9qt3DvILjm7x9Xjm8gJ0RujwKfTyZAeC7C/grPC9mPz0TUQK90x9LPE9P8Lo54po8Ud3ZOpm0ozytjjI8pVOEPL5M7ryvPyE8nI9JvGUbmzwOGdy8uyu+O+AnO7yZAWA778TGuyxFjzv+fSU6O1LcPKLv0btDQM48ggYhvQ5huzzFNQO8RzfHPBr+RjyFbzC7fnoMvPJQW7yFtw+8ZY0xPDCze7yrAMk77pqPuxXkyLwD4IK8/DcbPbctE7wmVUi5BUkSvVYa3bvVO568eq1KPD9s2rwvrp68bTNEPEP4bjwtSmy7/qfcuglqQjwDUMQ75UE5vYW3jzz+fSW9GQX5O0jFsLzFgr+809drOyOkWbuAVbI8d0Q7vVBIPrwnwKw7iftEvOsTWD0bKH68WqEUvezGmzwsJ+c8JMD7u7fhzjy35CW9xi8QPKo9grwgl+i6mlEoPOCsGLxzKiU8X6OJvGmTyDwPrmW8id0qveZzxDwhs4s97lDlPNm5gryNkbg8n5CwutgrMT1FJoG8TRZAPEdPFDw48Yu7epUXvWb1Lz0AbAC7s6JGO1cioj0Ekry7L23Nu39D97yU/Co8oaD3u/KrkDyV9vw8sQcFvZG3dLwtWi+8Iq3dvPwpITsehEq9bwGSvE0Zl7xUaOY7fkmlvFJVyDwda368cIyMus8ceD1prJS7fKsMPcx+X7yDAIo9y/NkvQdD87yEniK9KhV5PEyOnDr1Q3u77cVqPdxtkDx5fEu9Mpbguwp1i7s31eg7KaahvHkKHT1SWB+9Fx+GvCROTT3l6yA9MPVwvUyOHDlmgwG9JwiJPFpIXjz0wYW8gXWPvKkL6jl9MFk8wepZvaf4S73GKWK8r3wKvPh1EzxXH8u8LegAPHfeMjss0ou8zIE2PRCu5TsDefC8/1I0vVE/0zzV/G+8DAAGvfZfnjzv9wI8XF5TPFtkgT1WCda6Fh8GvJadGjxXH0s9RzPxPHhjf7w0Oqe7dVYPvXbhibxc1q+9zQnaPPmLiDuHtJc80Us5u2RUQD1kVMC7FPDEPEjajjs1xaE8MpwOPUFvHL1ZTgw87VYTvGkhmjvB7bC8jqoEPYMTqDzEiHK8oBsrPTKcDj25aXK8GbpHu0t4p7zc3Oe8/sqQu+q1o7wl3J46IT6GO6qyhz0FNgO7ePQnvUc2yDvQw5W7lYelPCTcnj3hN5M8R08UPa98ir3Kbhi9vCOuvCGzC7wRUiw8ICgRO1E8/Dx7BO+7+FnwvM0JWrmGPxK9CuTiPCcICb19pV687cjBO8r5Ej2U/wG9X6MJPd8F+zs7Gp+65EdavTQ6p7yYsLi8uWnyvD24tzxgGI+8m07RvMpumDwLAAa89DaLvdYVvDzdZ2I7qiFfPTXFITzSYS48f0bOvEnU4Dw5dli6SEnmvGxKrTyGI+88TaQRPRHE2joHLX48tUM2PJclPjz6iLE8QFN5vO9mWj0Cf5486ifSPOf75zz+PL88GtOTPRPzGz1OoTq8FxlYOq5mFT0Nnh49gXUPPSVkwrz+xzm9zxx4PQwTpLzA8Ic6eX8ivJNxML1Dgjq8h7SXPIvwSDtK6tW8TRmXPRLdpryRt3Q9tUO2vDkHAbssRLo8oKB3vIwGPrtTaz29MyQyPGgIzjzfBXs9uhAQvaknjb2l4ta8jAY+PGM79DzazCC8RzNxu2K2p7ztxWo87myIvGy82zzWGJM7gnK4O7j6Gr3MmgI9/+AFvcWhPr1c1q+8D7G8PCtHkT245CW7kLpLPRDHsTwDeXC9tUBfPAz6VztnfdO8LuUpPdtR7bxYp+47lf8BO61Nybz45Gq87tvfPOLCDb2OqoQ7ULqGvHQnTjyGP5I8PkBbO8c/17ygG6s89UyAO/2xRL0EBOu7G14Ou4vwSD2HxzW8/1I0PNtUxDy8JoU85uhJPbEBV7tFI6q9YiV/PDQ6p7w1xSG8RjkfPbEHhbwMAAY9VYGyu2Kz0Dw7F0i7MpbgvFcfy7wM+le8VPa3O2VtjLz1Q3u8y/PkPK5jvromYes8MYBrPQ+0k7yJ3ao9YC6EPAWrCLxGqPY8THgnvboQEDyMeOw5GkiZOlFYnzxvc8C6orwavRUJET047rQ7KRjQun67U7xPLLU8v9qSPI4ZXL0Om8c8Oo+kvLwjrjzkYCa8imVOvLj6mrtYrRw8HFjgOvGVG73/VQs91HejPD/OrLzcbZC6Q4K6vEz9czz6FgO7I8PSvORgprwgJbq8bwGSvG7P+bxSUvG8wV/fu0OCOrySzWm9H52WPABQ3TzrQB68f18aPWh6/LyuYz69peJWvJ8FNry9Nsw8p4YdPfqIMT0RVYM91fxvu2o3jzwAaSk935YjPAJ/Hr2dejs81f9GOwct/rtSx/Y8L23NPLjkJTsynA49cftjPCZ6t7xXIiI5h8c1vMa3s7wXGdg8epUXvRxeDrzgkHU9zA+IO2qpPTyzoka95uhJu8Ff37tHTxQ8tsvZu9X8b7wfD0W83YMFO1V+W70hmj+9ULqGPJpRqLx1yL289bvXPIc8uz1rNLg78QfKPBV4aD1NFsA8j70iu5eaw7xu6xy9MfhHPcvzZL0VeGg8bwESvb5PGL36E6w8DBOkvBrTEz0yluA7tLuSvDkEqjyweTM9N/ELvSoV+TwWjl27vK4ovKTohL133jK8wwDPvOGpQb1qN488GbrHPMQZmzzRvWc9TRZAvRrTkzzyHT+8hSkdO0c2yDxOoTo8JWRCvQU2A73c+Ao9r3wKvaAbq7wwg8K7UTx8PM2aArzxBPO6jAY+vaXlrTtqNw+9kls7PG1HVj3qKim82sygPK1QoLwehEq9Zd86uiPGqb1sTYQ8k1hkPZclPjz450E9nXo7vaAegjung0a9g4gtPRDKCD2kXQo9fKi1PJk7Mz2XmkM8fsEBvbuV3LurN1Q8OOvdvDjutLzk1as8NVAcPWiWnzx8q4w8+hYDvLKJej09uDe8lfZ8PAhGyrwda348L/seux6ESr1XkXm97DpwvS1arzxhnVu8P86svH0zMLxYp267xS+QvIF1j7z/4AU9iMRevEwAyzziTQi9eX8ivcFf3zxK8IM8ne/AvK3YwzzgrJg7p/jLOvkADjxK8AO8YiV/OzqPJL1OLwy8wnVUvJWHJT2oDkE7PUYJPUDkIbxRys26aqk9PS5dBjzc3Gc8P9EDvU4vDDw5eS+8cYm1PIt+Gj1M/XM9IJfoPFUPBDze8tw8DpjwvLbLWTuOpy089DO0vIt47DvMft88PBofPHbF5jyHPLu8ts6wvN4OgLzWow29EK7lOwnObTov+x49t+FOvAYwVbujzzg9ngU2PWIlfzxvc0A8f0ZOvLB23DwS2k88UuOZPPfOdbtM/XO9oaPOvEUmgTzWFTy8VYGyPLVDNryHtBe9Et0mvbMtwTyFKZ08dEAavLoNObwokKy8oityPZclvrx2UGE87D3HPLsKYryS6Qy9shqjvVetHD15Ch29QFN5PKIuSbx49Ce9G9C8Oy3ogLw8n2u9U/kOvRYfBj05BwG8aHr8PPDu/boc6Yi8r+44vBDHsbuvfIq6lfZ8PCAokTu6EBA98hroO9591zyfjdm81XF1PNHDFbr8mPi75nabvApZaDsVBjq7c5zTPJ16u7xc7CQ8qRGYPFP5Dr0PI+s8JmHrvHSvcTyRRUY91Y2Yunl8y7tWlye9OgFTPIwJlbyR0xe9hSmdPPsWg7nrssw7UEKqvGNBIjwymbc7aSEaPQyLgDzk0lS847xfvGcLpTsNnp46X4fmu4vtcTqeBTa6b3aXvAlcP7xoBfe7DPrXvBinqbvxlRs84B7HO4axQD09Rgm9vTZMPBik0rtYHHS7lG5ZvGh6/DyogO88+oVavTqPJLyIxN48nnfkOx6HoT0vava7xBkbPJpRKDut2xq97t42vMuEDbzjvF882C4IPOblcjtuWvS8nn2SPABsAL0GqDG8YiV/vPIdv7xtR1Y8JMB7uKs31DtNiG48AWbSO8uEDT0s0os8kUVGPffO9bx+uPy8JfKTvMwPiDyLe0M7+5j4OpYPSTwTZUq9DIVSO7EHhbxJ1zc92LarvPhyPDu0u5I8wPAHvYOIrTwymTc9RzbIvK3bGrt/Rk69HOPaOp53ZLyv6+G81hW8vRDHsby/TMG8rU1JvAuLAL36FgO86ifSvN8Fe7wx+Ec9ufTsOyZ6N7s6j6S8YrYnPPbUIz2+T5i8ETw3vUJpbjzAZY28R8SZvDl2WLraO/i7nfIXPd4OgDyC/TK9iU9ZvGkhGj1vdhe9HfwmO3sgErviTYi8GKepPFJVyLwDB0K8uPqaPMv2O7wVBjq99kP7PAe7Tzs8MBQ9EVIsPASPZTwxgGs8qiQ2vF6NFL22y1k7nnfkPMOOILzK3W87/JvPu705I70jw9I8KRhQvI6hfzw1wsq8hQ36Nhm6xzuCAIo4MQ69Oqb7Irs7pRk8yuBGu7ZcArx9wQG7wV9fvHGJtTzV/G+8T7cvO2/oxbszJLK6DBMkvT0tvbzrssw8X6OJOxtejrpZwLq8DptHPZX507wUfha7cP66Odgo2juZyQQ8IjhYPH9fGryivJq8kumMvOq1ozwPP468lPyqvNedX7vIWCO9nWFvPDqMTbxBb5y5V5RQPAQgjjxrwom7wnXUu7IaI7zRSOK9w44gPFtkgbz6+t+8UlJxOxksdjwK5OK8hj8SPD21YLxEJgG8jy/RO5nJhDw4YGM8kLrLPGAuhD1zKiU821HtuzwwlLwWHwa9Pbi3PDa/c7yk6IQ8WtkGvbp/57wjw9K8lyU+vPsQVbzzqLm8jHjsPOtAHr3grJg85NJUPJX2/LwNnh68VX5bu/S+Lr2/SWq85V1PPNHZCj25hRU9bUfWu9LWM7w7iXY82C6Iu0hJZrxRyk08E2ghvQyIqTwGpdo8nNb0vFC6hjzU6dE83wjSPAhGyrwRxNq72j7PPGTiEb1oCE68u5izvElisrxqqb28hBDRvEnXNzsHSaG79UP7u1ky6TuAXMO8tLi7u46qhDyOqoS8ZFHpuhzpCLxb09g8q7KHPOLCDb1vAZK8vCBXOoQQ0TyrrNm7QxAMvUSV2DvDAE+6e49pPfr6X7zPqsm7OGBjPBJVA7zL9rs8jAmVOvVJqTxiJf87FO3tvMOOoLzWFby87mmxvOO83zwu5Sm9zQnaO5Jbu7wb0Dw8Wr1jO5LpjDwAaSm8WTJpvOGmarx7IBI94RtwvFPgQjoa0xM6ym6YO2d907sJXD+8eQodPY4fijypJ428zQyxPEBTeT1aS7U64JD1vJ4IjbzL8+Q4CuqQuzsXyDsHLX68XOykvH64fDyl4tY6P84sPEL3v7zDcn28iDw7OkQmgbp1PUO75EfavEvn/jkCfEe9AFYLvBE8N701UBy9/se5vBR7P711PUM8eGZWPXyotTzlXU+76Im5vO/3AjzgIZ68a8IJvaw0fTrl66A8epWXPHyrDDsYpNI6LeiAPAwABj3B6lm9AFBdvHdpLTwOJkK8ug05PIe0lzwWHwY9Mpm3vKIuybxUaOa6qZk7vZaBd7xZw5G8C4uAu6qvsLuXEiA9AvFMPWiWH73Xnd88id0qPb05o7zRSzk8HfwmPcJ4qzxjyUU8CnK0PFtkgbwc41o8MpZgPT27jjx1yxS85uugO1WEiTwQruU8iU/ZPDfxCz1uz/k86ifSOuCQ9TpsTYQ8dlM4vBcfBjkXqgA9UcrNPL++b70fgfO7npOHvMjNqLz+xzm8d2wEPclVzDtVgbI7yVJ1PPF/Jr3c+Iq8aZPIvFLHdjtqG2w6Dg32OleUUD032L+8lPyqPFk1QLydfRK7zJoCPaGjzrzncG08duGJPGohGjwlZMI5R8QZPP0/ljxZwDo8wV/fvGfy2LwuzzQ8/8RivMc/1zvMgTa8zzibu702zDvCeCs9xrczPC3MXTtDDbU80MA+vFrZBj1Bbxy9hzy7PP2xxDte/Gs7R8FCvBaO3TsMiKm81AIePdTpUT3mdps8xIjyO2K2JzxI2o48/jlovPF/pruxB4U8ZfiGPKJHFTvJx/q72C4IvOTVq7zVcfU7ZvgGPNxqubxISea8wfCHvLQqarzHtNw7ULqGvOtAHj0bzWW7eyCSPArk4ryFKZ28X4dmPObl8jzOraA8Ju+8PPhZ8Ltrwok7xaE+PNVx9Tt7Hbu72j5PveLCDb3Huoo8f9QfvPVJqTwd/Ca9p3CovA8j6zpLdVC8/LQbvJFFxrqRt3S8kdMXOhzmMTy2WSu9OHwGPEjajrzvZlq9GC9NvKb7ojxRPHw8id0qvZadGr3+xzk7NcUhvCRL9jwaQuu7FXjou8yBtjzncO08d2ktvIY/kjzsPcc8uyaFu4jggbz0MzQ9nnfkOmAS4TyPvSI9JEv2uWASYby35KW8xKQVPGTGbjvUAp68v0zBu2NXFz1dd587EDlgvTZK7jxFINO7IjsvPaqvMDz4crw7hrSXuHZTOLyMBj48VX7bO91n4rxFI6q7An8evdlBJjwLAAY8AWZSu1cfyz2iLkm8nPKXO7qCPj32RtI8FpE0vGvCibzYK7E7epWXvCy2aLzOrSC8oaPOOyXWcLwYpNI7xrezPOTVK7zIzai9QvqWvFnDETzgrJg7bEqtu3bF5rzS1rM73oAuvWM+y7yKZU688pWbOletHL1Pt687DIXSPPwpoTyCAIo8lflTPIYj7zzu2188+YsIvJiwuDzn+2e8/Jj4vKqvMDwtWi+8Sde3O+EbcDyplmS8a6ZmPFcfSzuQSJ07o9KPPIfKjLvB7TA8AGyAvD24t7wa0xO7tEYNuwp1Czwd/Ca8fsGBvFE8/DzBX189VPNgPJzylzyRt/Q7JuzlvKAYVDykXQo9DYL7O1Tz4LxjVxc7U/mOOpk7szxYOBe7NKn+PG8Bkjz0MF06L/ueO+TSVLxngCo8EMqIPPjqGL2pJw098h2/u/jnQb1XrZy8i/BIvOqvdbwvcKS8aAV3vI6nrbvMft+4f9QfvGIlf7tjzJy7v9oSPdLTXDyqPYI8MRGUOzbbFjwQygi9CENzO8DwB73K4EY8rMJOPE4T6TveDoA8oBjUPGIl/7rDAE+8YBLhu/ZG0rzfBfu7pMzhvJRxMDwfnRa9lg9JPOkXizxsSi29xaE+PAjUGz0NEyS7Usd2vVxe0zzEE228l5pDve5pMbyC/TK8V5RQvJg+irv5AA49sY+ovFBFAbw0rFU7ivOfPBJVgzy9q1E6HOYxuy1ar7t329u6ZMbuu6ExILoZSBm8ZoMBubAErrxvc8A8zh/PvP2xRDxmgwG5gwCKO9YYk7wEIA65Usf2POVdz7tJZYm8RCYBPC9tTbzOIia94abqvLp/57yDE6g8zh9PO3kKnby/2pK85Vp4vFNulLw8FPG8ANtXO/r63zx49Ce8dK/xvF78azwEkrw8lPyqvBx0g7xLeKc74k2Iu5tLeryL7XE88QTzPJX2/DpXrZy8yuMdPFnAurx8GmS9Z/JYvH5JpTyeCI27N2M6PGfyWDwFGmC7w3J9vEhMvbwyC+Y8aayUPJHTl7zEE208JNlHu8UZG7ok3B68LEQ6vZnGrbyYImc7i3tDu9WNGL29OaO8GkVCvNHZirzcark82lcbveNKMbwiOy+9lygVvTdmEb1M/XO7xS+QPFLd6zxHM/E87t62OcNyfb3MhI08dcg9PCTA+zwMiKm8I8mAvFC6hrwMgvs4RzbIu//E4jqYOFw5SWKyu9LWMzzB6lm8x7TcPJeXbLtXH0u8U/mOPArnuTu2zjC8szAYPGiWnzwgKJG8xroKvbS4OzwEkjw8K0cRPQe7T7y4byC8w44gPZxnHbzfC6k6fTBZvOonUjw/zqy8nGTGPAct/jt7Hbs7U+BCPFSEiTsl8hO9kdOXvD24t7wKdYu6NKl+vJBIHT34crw8JWeZvHGJNb0cXg69U24UOrEB17wYpNI8f1+avJG3dL3j2IK8Z/JYvFin7jzlWni8uOSlO44firy1teS8LVqvPJ53ZDyXKBW9E/ObvOPYgrw46926OXkvPKPPOLrZsH06/bHEPLEHBT28rii70b3nPDGA6zv6FgO8VQ8EvbMUdTyt25q8mlGovI6qBDxQtNg8EVKsvJ4FNr3L9ru8V5H5vMyagrzyHT+8MpbgOheqgDvTXtc8j6H/vGs0uLygHgK9MQ69vKoktryc8he7iOABvH64/Lvmc8Q747zfu10CGj0T1/i7C4sAPQPxzLuMCZU86rWjPK5jvjkk3B48mD4KPH9D97y8IFc8Xv9CvH7BgTwQPDe7zJqCPMZFBb3n/r47q6xZvLKJervpLQA91hU8POTVK7td5vY83wX7vA8j67sc41q8vCBXPMyagjx0JPe72LarvKZt0bwstui7v0lqu5JekrwtWq+8zJqCvIJvYbzlWni80mQFPSTA+7xZw5E8jHjsvNrMoLyxBwW9IbOLPK7V7LxOnmO8duGJPN4OADqtv/e8I8YpvAYw1TxT3Wu6RjkfvfSl4jwmYeu88quQOnl/ortZNcC8MgtmPHdQYTuB5z08jh8KvXMnzrw/y9W7VYGyvDl2WD3EpBW8d2wEvQYzLDzflqM8Z7dVPLgxjjwVkhS9XqZDPDudkzvZdVa8pYBrvNHvJDzSA5e7ph1vPHp4TDz8brK8DJFWvM21HT1ttHU9cXldvBUbpjvZElo9JcZbOybIqjyW6Sc8EnzTPFpGp7xXIBK7J9pNvWwHHjxjaVy8CeBgPImKnD1Hl1O89W/DvGBB+Lzbn4k868EtOmN9zjzHyqA8zaErvVPkO72iSDO8pw0bvbPhRbffdEW9ndSku0o2prz6z987Q0lavAAgKD2pV/Y7or8hPFG8Vz0ifIC8U1sqPGJZiLx6eps98tBwvaTlNr1BmjO9ZGsrPLwImTxRrIM7nm9ZPYF5Cj0xASG9+SIIvUTm3TwXuKk8CDOJPOqtOz3t1R+9ndQkutqLlz30bXQ90gMXvRYvGDzGPXG9S8GGPMY98TylgGs86zgcO8wYGr24uh889egAvWe5JL1iRRa97mAAvTVNS7ztcNS7TXCtPKaCujwsPLk8ph1vPTIVEzz++RK96q27vH5h+jwifAC9mJhOve/5ZTyQ7Ie6XpSguKx/Wj0ifAC9ee1rvM0sjDsPQkw90hPrO+bqojrZdyW8pG5IvQeoKDuaR/W9WtGHPH4/AzwwEfU8EuGePAcfFz0E40C8uvJXvBWQRbxnQjY9NEv8PN08Db0vdPE8s1g0vD7rjDrWtAy8jDsSPfCYOLwNf7O86P6UPBUr+jyoIY28B6iovB9Aqrz2+qO8Nuj/uxa22rzomcm7KgSBO10H8Tw7JqW8JrYHvVgytbzX6vW7+s9fPBbIfT2r4tY8gYlePJiqcb30bfS8gXkKu7PhRTyIiM26GeANvDqt5zx8xPa8WLvGvKiqHjyeg0u9Q775PGrNFr2GUBW9excfPQN+9TujWta8MpxVPda0DLwyE0Q7UJgRvXhmqbwqjRK95uoivYDchjyZI688y59cvC5QqzxgMSQ8sUaRvYGJXjwNGmg87efCPEEjxTtaam28RnMNvbtrlTwyFZM85MI+vZ2BfD2oqp48eGYpPWwZwbvkXfM7ac2WPOq/3rumgjq88A+nvAJGPT1iRZY8KgSBu62BKTxHhbC70N2BPXDMhTz1b0O8U1nbPHUYMDzkXfM8hLFCPRQJA7vBaDW903qFPSrwjr0Ot+s7hDpUPKXnBb1Yu0a7axfyPEGaMz3IUzK9Bx+XPXugsLzcsaw8uDGOvBa2WjtnuSQ9vZEqPPI1vDwHHxe98ayqOz6E8jvf/VY9yxT8vDqdk72jSoK8OBDku2yQrzzSAcg8DH8zueoSh7w6JiW7Bht5vG/KtjxYMrU8Dhw3uydTC70Wtto8OQAQvTqdk71T0hg896f7POdhkT3LFPy7uuKDPZCZ3zzCZma9M7BHvCIDQ7zwhMa8sDBQPcBA0by8of48/nABvLi6n7sAq4i8efEJPWe5JL1oQGc8VfbePDxK6zznhVc8jtiVunDMBb1BrNY8YbyEPO+Wab1kkUC9QIgQvfmrGT1U5oo8GMybPGdCtjz6SB09flEmPf8dWbuounK9Qr55O9IByLwRzSy8zbNOPCh30bw5iaE8pYBrvIEAzbvIVYE8th2cPGhU2Twknne7Z7fVPMyhK7vForw7EViNPavSAjuIZAc83UxhPRp7wjtBmrM9NU8aOV4dsrz3p3u76jT+vIB3uzzBVhK6vI9bvKJGZDxnpwE6/oIkvcctnTy5zpG8G4+0PDuxhbynDZu8+DLcuxBEG71CJRQ9aFRZvG4tszl3yaW8/w0FvQpZnjt+Yfo8fsiUvP+m6rwJ4GA8VyASPfK+TbwVkhS8rZF9vEmtlLxNcK08EFRvvKlF0zx0s+S8LcXKO8084LwUCYM8U1uqPENb/Tusbbe8+s9fPNZPwTwzJza8nElEPC/trrypRdO8P4ZBvWe3Vby7fbg8negWPfxcDz2jWlY98JbpvLWSu7y1G009XG4LPEgQEb1Szvo77nIju2jLxzqmHW85j+yHPCBUnLxa0Yc8vSzfOxBUb7wmPUq8aEQFvO+GFb2Dnx89pfkovVGsAzuj05M98jNtPNxM4TvjOS29SCK0ORPhHrzu1R8895cnu2FXOTuI/7s8kiYPveEjbL2M1He9DQoUPdQprLxQMXe80owoPIBlmD279KY8U9KYu8SQGT1jadw8Yd77O1GsA71c9c28668KPdQpLL3rOJw55EtQvYjtGL08Sus7EESbOzoUAj1FXxu9UTNGPEb8Hjzo/hQ9vAiZvImKHD2EsxE86IemvMneEr2yate8xj/Auw4eBr1hVzk9giZiPeKcKTwkKVg994UEvaxtt7xwVRe81bK9OibY/jxJq8U7MRNEvXFnOr0txUo81cavvGYuRL1wQaW6ywSoPH5h+rvFoG08VW8cvUcgZbwXQTu9ZAgvOxuPNDoCSAw8KNpNvAFE7rujSoK8zj6vO5D+qr1N+T491DvPPLNsJrwYzBs9P4ZBvW+4kzzf6WS9GFUtPbsEezwR3089zbPOPAGriD0gVBy8rpH9vGyi0ruoMzA9YUNHO6m8wbxzjc+76q27vEM5hjx0j566NEv8PMryhD2xRpG8GgTUPJTVtbunHe+6yXf4uvRtdL385aC9ACAovYoBC7wdGEa719qhvLWQbLwIuss80ni2vDokVryP7Ac8bi8CvVCYETxEXcy85/xFvBjMmzww/9G50HZnuxUZVzyBeQo9Bx8XvJCHPDzzSa68IWgOvE2C0LxhVzm9NDuovNbq9TzSegW9xRkrPI7qODwjoEY8W1oZPJ1fBbpyaYk7x8ogvYXX1ztlo+M7xj3xPCFojjw2YT091+xEPUXWCTpvyrY80gMXvatbFLzv/YO7IWa/vAT3sjzRAUg9NLIWPAttED3o/pS8lnI5vKlFU7zkXfO8SjamPFcgErxWDCA9gYneO35P17x3ySU9m9LVPI/shzxQMXc7Ynv/vBSOdjyVcGo8hmI4PZmswLxq4Qi9i7AxvVLOerw+64y87nIjPbYdHLycXTa9ty8/vQLRnTwYQwo9RyBlvBe2WrzhEUm7QiWUPclnJLstPog6sc3TPGnNFrvNPOC8wgNqvYf97Dyf/Ai93TwNPOMnirzcOj69Kp3mO1EzxrzLn1y9NupOvHWjED268tc8lcMSPQyRVrzf6zO8q9KCOyMFkrxWlTG8QIiQPLyP27wF+QE9KyjHPNW0DD3wlum8CLyaO0ZzjbwL9NK7gdwGvXjt6zur9Hm8F7ZaPEpISbwAqbm8or8hPJvAMr2Qh7w8y59cvGwHnjwPQkw9BG6hPCgA47xDwhe9TnAtPCoEAbwNf7O86q07PetKv7z/C7Y73UxhvJ8OLLpc95w7fT20PGFDx7w9Ohe8pFwlvFaBv7rjwG+8rPT5PLWSOzyt+Je78Ji4vOZhkbwPpxe9f+xavPeXp7yhNEE8rQo7PIXXVz2jWta8ee86PQhD3Tuegfw7izf0uoMUvzzJeUc9bRsQvXF5Xbzaixc4+0bOPHJpiT3hI2w896d7O7cvvzzdTOG8QZyCvMUrzroPubo7OBBkON08jToh79C80nqFPMBA0bz2cZI7L+2uOzd1r7yKAQu8Y3v/uw0KlLrQ3QG86hKHPD1OiToet5g8AtGdPIbHA72XDW68noPLO7NaAzvbJH08yvKEO309tDm4MY69q1uUvCgA47yEsxE9SjamuiY9SjySJo87i56OuTZhPTy2pi09MHbAOy5iTrp320i9CLrLuyw8ubyBAM28HreYvedztLwzsEe9egMtvEARorxRNZW80gHIvPcMR7pNgtA8b0GlvFpGp7wGlDa8+b28u4h2Kj0fywq9dAYNvRp7wjwuYs672ouXvBp7wrw+hPI7dkCUPLC5YTzO2eO8FAe0vHDcWT2NTTW9CLj8O6+nvjuX/Rm8juo4PV8vVbzEB4g7WDI1u29R+bxJvWi9zbH/PBjKTLyDn588gP79PP6CpDvXY7M7hU5GvDfsHb2Zmh099eiAO0Eh9rtJrRS8/oKkvNmJSL0Ppxc8d1I3O2t8PTwtOmq8h/3sunp6Gz3FkBm8DAhFu72jzbz8WkC64YoGPNyxLLxmpbK80oyou4DchjxTWVu8d1Bou64c3jqJmnC7l4YrvdQpLLzO2eM8mTVSupVwartLWmy8b1NIPTQpBbs4EGQ7S1psPCJ6Mbt6ehs7zI8IPYl2KrwQVO87HsdsPIDuqTsJzj28/oKkvKJGZLxZzem8KXkgu/eXpzvqm5i7Fi8YPMBCoDx8KcK8uwR7vCbYfryYdIi9KXkgPQRuIbyB3Aa92XVWvLEynzx9PbS8PoTyO3Usord2PkW9ac0WPKlX9jyGx4M8wWZmPH5RJj2Ad7s8kZuuO9qLF71fMSS9pFylPP6CpLx+T9e7oCKevB7H7LxwVZe8NnNgvPvj0Tso3Jy8U+S7PGpqGr3UsG45fmH6Oxe4Kb3VtIy85dYwvBngDb3ZALe8XICuPIMUvzx6Ay09GwYjugaUtjrHP8A8W/XNu5AQTrxSWds7uWd3vA0KlDyr4tY7dLPkvH/s2jxNcK08Ko0SPSBSTbuQmd86h2QHPR63GLzD8xW8u304PFGsA7ziJTu9HrcYvI1PhDxMShg8lUykvJgPPTzQ3QG8jdR3vFAxdzzIZdU7HBhGOqK9UrsCRj09QIiQvBWkN73/DQU7g4utPPq/Cz1k9ou7fSsRvZTTZjudXwU8RvwePRPzwbsZ4I28fsiUPNfaobwmyKo8jLKAPExa7DzQ3YE7kPzbvDbqTrpV9l68ihMuvQX5AT1Fcb67wnpYvKNKgrnFpAu8noF8PAK9Kzx5iu87ywQovEm9aLtZNAQ95MI+vMctHTz9CWe7hLORPO/9AzveYFO8cxbhPNoCBrtgzNi8Fi+YPCw6aj3pIls8uLqfvD+GwbyF19c8vaNNvDqvNj1RISO8l/vKvGFXuTxQmJG8sKkNPYyyALr7bOO8yxR8vF8v1bwiA0O6P4TyvATjQLtRM8a8MXiPvEPCF70fQKq8MQEhvMsEqLz0XaC6xAcIPQlXzzz70a47hLMRvRyRAzyQ/qo7pFylvATjQLvLAlk8Yc4nPX/aNzynhIm8hlAVuxQZVz0GG/m8vKF+vKcfvjvxmge9kjbjPLG7MDx47es7V5UxvXLymrxSznq73UzhvFhEWLxES6m8LddtvLFGEbzghmg9w3wnPc2xf7xZNAQ8baQhPf6Ux7wUfqK7GEMKPdOwbjxQMXc7HsfsPGpqmrymC0w8pONnPbT3Bju09wa97dNQPDxK6zwLfWQ8HSy4PD/9Lzz5q5k7W+OqPJ6BfLx/T1c7QsDIvDmbxLymhAk7VZNiPA32Ib0NGmg80N2BvP8NBb2FxTS8Xh0yPaPRxLwxeI+7Go1lPLYdHL3Ns048OIdSvGcwk7t2LCI8FqYGPMneEj1CJZS8MP/RPKvkJb2BiV67wgNqPCsWpLxzjU+8ywSoPDgAkLuBid48gQIcPHjdFzyKmnA8fCnCvL0aPL0ifIA8JraHvK2R/TuyVuU6a3w9PIF5CryEKoA87/0DOSqLw7U8Sus8Tffvu+gQuDzX7MS88ayqPD3XGjz01A48Jth+vFLQybpdpPS8excfPU35Pj3aFCk9b1F5vHqMvjzdw887jl/YOjiH0juGYOk6PTqXPP0J5zwkKdi8WtGHu0tKGL3I2nQ8xZAZPMQHiLyfDF28IgNDvOD/JbxE5t08g5+fO97ZED32cRI7yNp0PMuNOb1LSpi86r9eOyBmPzzeYFM8WmrtO0IlFDzCA2q8DRroPLYdnDw6JFa8lMFDved1A73J3EM8GmkfvHwpQjw6FIK8xaQLvR5AqjnNsf+8L9uLvBUtyTs9Tom8I46jvPmrGbsUCYM6ROZdPDRL/LyO2JW8RnMNOpf9mTwcKum7yxT8vIjtGL2082i7JbS4vMFWEj29LF+6/ffDvFhE2Dx2LCI9gP79vGNpXDy6aUY8/4IkPA2TpbxIEBE98ayqujKu+DwJ4OA8PusMu6NKAroY3r68Oq1nPM5QUrysbbe80Xi2upmaHT0HHxc8KWUuvTbo/zxjfc66bi8CPbriAzyaR/W7bAeevCsWpLy9Gjw8P4bBvNdjs7wkO3s7vizfvMSQmTyPcXs8b1H5O01wrT3mYZE82ouXvG9R+Tzirkw8qlnFuj90nrxUb5w8OzhIu1CYEb3pItu7eXhMu1Rr/jvvlmm7fT20ufipSrwVkpS9Q1t9vM4+rzt420i8NEt8O12kdLwNgQI8C9AMvSXG27xE1Dq8kP6qPBhT3ryFTsY8avMrPY7qOD2k42c8/pTHPFyArjwbfZG7uVVUvOskKrwqjZK8LseZvPTUDjwCvau78Jg4PI7WRjymgrq8/6ZqPaI2kDqoIQ087DgcPJiq8bsXtlo8qtCzu5GbrryLJdG7wmqEvCDvUDxM92+8tYCYuyOOozxoVFk91bSMORa22jtmHKG7G30RvQt95DrTsO48qDOwu2wZQbwKWZ47L+0uOaNKAjx6ehs81U1yPIU8Izz2Cni788CcuthREL0tOuo7YMzYPO5gAL29kSo9VZPiu2J7/7xTWyq93tmQu6cNm7yiNpC86IcmvNzDz7prfD09bRuQO3wnc7x4ySW8UTNGPCqNkjsvdHE8hLORO14LjzzHQQ+9j+wHPN3FHr1OhJ88efEJPGJXOTycSUQ8cgS+PJvAMjspd1G8ZAZgvOOwG73PUiG8nV8FvdyvXTyVXse80oyoPENJWjwqFFW9Q755PIuejjyW+8o6baJSvTB2wDz2+iO8IWa/vEo0V7gg3a28XaT0vA9CTD0ynNU8QSF2vLPjFLxV+K07nNQkPYzEozvUoJo7nebHuyyzJ7zCA+o7o0qCPNjaITu7fbi85dawvJQ6ATvI2nS8ztljvIyygLvJ8LW7NdZcO8QHiLwWtlq7FrbaPFJZ27mKE668Wb0VPA+5Ojw11ty8/QlnvDZNy7zJ8DW8VyCSOxjKzLxFXxu7bKLSu2He+7x6A628Mq54us2x/zw1xgg8RyBlvAi6Szt9KxE96SLbvIdg6bwoY188hU7Gu1Pku7wwdsA8at85u2T0vDvCA+q8H8uKvPGaB70fUs28u2sVu5Vw6rr1b8M6G32RPHJpiTxtpCG86iSqvMSg7byFKoC6eoy+PHjbSLxBI0U8rYGpvGt8PTxE1Lq860o/vYzEo7to3eo8gYlevKghDb0do6a8bi+Cu7AwULs0xDk8VZNivPeV2LzLjTm9fbSiOu5yI70lKye8VoMOPBHfTzy7fbg8zSwMPBFWPr0peaA8GN4+PCjcnDyaN6G84pypvEgg5bxttHW7uLofvBuPtDxaam08Us56OyBUnDu2lIq8cxZhPW+2xDpx3qi7Wb0VvMY9cTwBqTk8tX7JPEZzjTqouvK8px8+vfAPJ7wri0O8kziyPITD5TyDn587FAe0PEVfm7xHhbC7GEOKvBbIfbq7BPu8IozUPNMXiTy4Q7G8DX+zPI5xe7tq8yu9J1OLvLNYtLzNtZ07KgQBu16UID268lc8QiUUO2sFT70fQKq8XqbDuwJIDL2sf9q7ZqPjvJ4MXb1Zzem8jU+EvHSz5Dw11ty8XgsPPXhUBrkEbFK8ZqWyPIkBizkOt2u8M7BHPL6lHLujWlY8PuduPGYcoTuNwlQ8NcaIPOZfwjzJZ6S56P4UPbyPWzzXY7O7MRF1uxwqaTz8bjI7tJBsu262xLsdLDg8tYCYvFRvnLxfQXi80gMXvBUbpjvCaoS8Bht5PGFDRzyBApw8pecFvf1cD7wZ4A290gOXu9IDlzoYU148xI5Ku4Zg6TryM227wmg1vC/bCz2l+Si7U1nbPCc/mTzAQNE8AUa9O66Vm7xHl9M8LBakuvYK+LzZd6W7PU4JPFRvnDxFXxs8BzG6OwFE7ruSNuM7oTTBvC066rzrrTs81rQMPCBmP7izWDQ9BpS2OzXGiLs8Smu8j+wHPDbo/zyDFo68TXAtOzEBobv3lVi7hTyjuS908bwHqCi8f+zauwng4Ly7BHu8jNR3PW/KNr04EOS7jLIAvTXof7y1G828HBoVPCllLr24up+8gO4pPNqLF7quk0y8GnvCvHqMvjyegXw8z1IhvRBUbzwRWA29h9kmvE8PgLyvDIq8uUWAPIMosbusbbc8cd4ovcc/QLyI7Zi8auGIvBYtST1vUfm7Ws+4vDQphTw8Sus7uaV6PBBKFD2XGgK9q84MPF0imDyKTRe8R6NKO1imRTu54g68AxMxO5RyIDuZR+a8n2savUOrIz0ZDlM9RBWcvOd3BjxxUvc8AIUCvLY6rTxYyaY83Ic6PBi+Db19o4071t4DvZ4BIj0ngx88FqMFPHvYyj3W3oM7DS+MvFoZ7Ly3Dp47JAfNO9h1YLxF6Qw8j6YIvXEmaL1XRXu753eGvZ1QEjwVgCS9zJ/HuQOgiryhmH46z9SCvJAQgT350/S7aj9IvMfTLz290Ye81IbnPOviUzxoAV89Ug9rveEnQ72HOz29PfHnO0cW8bq7BkW8iKU1PegxxDzR+Di9gL4VvSW4XDxzfoQ8IyEAPLY6LT2ahc+8OvASu5UsXj08Wos9+K8+vZ599jtGUwW9ldyYPEkxeTyMB9U8Rw1DPDPmEb0tua87kT1lvZxQEr3KYV48ZRLmu5XcGL0iTQ+9w1fdPBriQz3WLkm7D8ZoPZ/ewLxNrUu9SdiFvDEbTz3aQKO8SrUkvWsTuTxoG5I82WOEOxgohj0S+yO91YZnvPAyFzzWuyI9QW06PP17Vjz7KxG8X0ZOvcGmTbwwsda9AbJmPBwG+jvbHcI8OD+DOu87RT08N6q7tG9qO85QV7xm3ag8gQ5bPCIqrrz/I7g8jtKXvJ02X7z19YC7BFpIPXUvlDsgeZ68gDE8PEuJFT32aCc7xNsIvbY6rbz6VyC8jYuAvMjKAbzxD7Y7RH+UudSGZz3W3oM8eEocva5TDb0lcUW9Kp6nvM/Ugj290Qc9513TO5cagr1E++i8woPsO1kZbDsYKIa8c4cyO+ik6jxTcLW844gNvR6uW7q46zy9Pjj/PEIn+LwW0Om8r70FOwYlCzwKFIS8FTkNPbJLtDtQVa08MoVHvX9dy7yzKNO75qMVvRJuyjwDoIo8T+u0vAr60Duduoo31H25vckRGbzOago9SUusPLVD2zw8Hfe7oD8LvZf3ID2FZ8w70rL2vA7y9zx5tJQ8AWKhPAW7kjzhJ0M8SrWkPBNCuztXRXs7b5i5vHPxKj2BkgY9RX8UvK3ywjwkEHs8e0txPQZRmjy4eJa7kjS3PK3yQjuanwI6cGwqPUADwrq6nEy9ZgCKPey2RL0pNK86APgoO0ZThby7cL28AGvPPMUioDw0ugK999KfPTrWX7zc8TI9tW9qvIyUrrwd2mo8tjotvEQVnDzSYjG9iQaAPN4vnLwl2z09m2LuvFRnh7061t+779FMu9uqmzxYVgC8neaZu8E81byf3kA8kBABvfZFRjy+GB88DTg6PFb+47zdZFk8/ZUJvYIFrb1GU4W8/e58PBnrcT0l/p67npepPZOerzwgDya9Hju1OsdgibxLHx29pYf3PAhJwbwl0g89Ug9rvEK00bw5Am+815hBPaTEC714U8o8gm8lPUFtujpm3ag86L6dPNAkyLwD+f08S5JDPXT6WL1F6Qy9l40ovUSIQj3VzX48HfSdPFEyzDxvJRM90e8KPf5GGTt4U0q9qziFPFvBzbzRa1+7XtzVPPbSn7wqEc48YffdvNLMqby5MtQ80YWSOxXzyjxhe4k8VbfMPFRnh7xX7Ac9Ffx4PbRv6joUtWE8cAIyPRWJ0jsc/Us9Rc9Zu2US5rymFFE8kysJvZcaAj1mRyE8WFaAvJxZwDzJhD88n95AvWQsGTyyS7S8UTLMPD7F2Lwre8a8/e58vIrjHr3LqHU9m2LuvPWdZDwGmLG7AN71uxWjhTxlEuY7YRERvb6Uc716+ys8qJlRPaDVkrwd/cu7Peg5u6cv2ToDoIo8mp8CvZ4K0Dwa2ZW8dsWbux0gLbx+Znm8Q6sjPJCDJzw3u9e8BPl9OxNlnDwrchi9uaX6PIicB7xh9928CUATvd3xMjxZnRc9nS0xPYrAPT11L5Q91sTQvOfqLLyxbhU93qJCPNI/0LxoG5I7woNsvPx7VrjRhZI7syjTPEV/lLwTZZw8jU7sO8Ezp7umFFG86njbvO0gPb2ErQ49R6NKvfX1ALpX0tQ8rlMNPGpI9ripbcK8whBGPO6T47owsda7wcCAvGqpQLvpKJY8bVEivf+WXr18OZW9/yO4PNAkSLwNWxu8+WBOOzGoqD1d/7Y7waZNvFBVLT2gSDk5oRyqPDrW37x5Jzu9n2saPbJCBr2ihqI8p6J/vSXbPb03u1e7UpxEvAMTMT2RV5i8YYQ3PAzXb7quOdo8moXPvBrZFT0AhQI50lkDu8hGVr1F6Qw7xEWBvJmoML2RVxg9SOrhPEnYBTt6iAU9vhifvDUTdjsfpa273wONvECQmzypdnA8OLKpvSAPJr3ERQE98YLcvMTbCL3NLCE8KVeQPHm0lDyn3xO7nDZfvf2Viby1XY68yu43PPGC3LwyhUc86KRquCVoF73Cg+y87oGHO0PXsr2U5UY9ZVl9PKrXurw7xIM8KadVvVBVrTy46zy9bwtgPce5fDwlRTY9yY1tPFRNVD0XMTS6e4iFvULXMjzBPNU8OYaavMtPAr1jLJk8tW9qvAi85zxwbKo8VCpzPKkDSj3G/768VCrzPDL47TugJVg8+KaQu3gwab1DHsq9dhVhvSjtl7y5TIe8RPvovLLYjbym6EE8ZgAKvSeMTbwv3WW8mEdmvNWgmjsv3eW8GA7TvE1DUzwE+X28ebSUvF7c1TypdnA9fKy7u7niDrtxQBu8D8ZovCD18rxJS6y8WDzNvPO3lzsS+yO9rfJCO8W4JzxXXy66EL06vNhssrxlWf07dPrYvM1zuDvGjJi8s5JLPQzFkzy8TVw9T4G8PGVzsDtjNUc97ztFvQjfyLz8njc8SijLvGZHITpoAV89J4Mfun9dSz2faxq8t6QlvGZHobz2aKe8py/ZPG3ESLuDQxY9Ny5+umckQLxhewk95TmdPM7D/TwlaJc86L4dvWERET2N/iY8J//zPHdc+LzqeFu9ymFevRek2js+OP+8XvaIPFb+Y7yFcPq82kAjvSMQ+zz8CLA82AK6vDkCb7x4U0q8KhFOPV72iLve6AS8va6mPNhssrs61t+8VESmvbWJnTwqGvy8qmQUPJW5N7zOagq9ESczPOFKpLxAmUm9fKy7vDk/Az0e0bw7mUfmPCD18rte9gi9xNsIPFhWgDvE24i8CNaauwqqC7wLZMk87iA9PP8jOD0TzxS98uMmPNJZA7wwy4m84/IFvZt8ITzBpk28lrAJPfunZbz9T8e89fWAu9I/0Lzn6qw8e25SvP3coDw4JVA9kWDGPFRnB71tN++8JORrO1hWALz3PJi87K0WPR5elrxFXLO8UpOWvADedbx4U8o8mTWKPF5pL7uDtrw7eogFPByT0zt2orq8PfHnPL9o5DtdCGW71VrYvEwFaryZNQq9W+SuvDBhkbyoJiu5Ye6vPGJYKD2+lPO85NjSPFw09LsZb527HQZ6vHysuzz/ll49lOVGvVW3zLxfYIE8Zi3uPMKdnz1Hxis61VpYOjpjuTo9C5u80sypOxEEUrvTNiI8TNnaup4kAzuBm7S89ZQ2POfqLLyXI7A6bi5BvPVxVbxh9127HtE8u86WGbz6V6C8UDv6O+G9SrtWgg88CLznO3TxKrwNODq8zXM4uxtDDjx6BNq7g0zEu6BIuTtnJEC9zgnAuzYT9rzUoJo8sAQdPA6ZhDyMIQg7DgyrvBek2jx7ZSQ9lAiovEsF6jz2RUa9/XIoujkC77riHhW9EFPCvfSUNrm3gUS9R6NKvKDVEjteT/y8xCtOvIVnTLzjiI086DHEvJFp9DopyjY7dgyzO+P7Mz3NfOa8Vv7jvMHAgDzugQe8WKbFvLLYDbrOlhk8WgeQPP1yqDytfxy9Rw3DvOP7Mz1pYim9IyEAvACFgjtNrcu8rukUPX4NBryibG882x1Cu3m0lLy82jW9oD+LPNXN/rytf5w8EuHwPJLBkDwXVJU8GXhLvEFturxp7wI9ncO4vLcOnjucYm67EQTSvFoZ7LzWxNA8xowYPG19MTx6iAW96m8tvD9JBD3FuCc8bPDXufXke7t6blI7Va6euwhJwbm5pXq81QoTvEnhszwAa0+8xFddvF/cVTrQjsC8XQjlvO/RTLxo+LA8E7Xhu6NA4DpDqyO8C2TJPCMQ+zl2DDM7JjwIPDvEg7v/Izg6NZehPLheY7xhewk8Hq7bPB8yhzxwUne8W+SuvM0AkruBeNO8dTjCO8GmzbvikTu7dc5JPIStDj3immm8GQUlvJcagrxYyaa9wcAAPa1l6bxRO/q8cFL3O5dz9TwwPrC7ZebWO0QVnLxUTdS8KadVPNCX7jxwbKo816Hvuo6vNj27kx4845ppu3r7K72dLTG8hYqtPEuSw7zH0y86q0Gzu7x5a7zc8bK8vdEHu4pWRTt8QkO7XpW+PMmN7bzYjxM8QJlJPOxDHr0UtWG8M8zeu+KRu7x8QsO8WnEIPbeKcjyCVfI8zgnAvMUioLp9FrQ7+qfluzrwkruq17o8HCAtvQ7y9zxF6Qy8D+CbvN1k2TylFFE9Z7EZPYVwerzwpb07v2hkPFkQvjsA3vW7q86MPN1bq7zikTu84MZ4vAMKA7s3SLG79f6uvOVCy7sGod+8DDi6vHdceLsbQw48dcWbvLbHBjvmFjw9PBRJuwP5fb320p+7NufmPHFJST1b2wA89mgnvaEcqruTEVa7t4ryPGgbkrswYZG8yMqBPC3cELxyqpM80lkDPXACMj0se8Y79tIfvWHur7vezlG8t4FEvawVJD16blI79eR7O/pXoDu1iZ27802fu39UnTz8e1a72bx3u0LXsjvdOMo8eh4NvBPYwjvUCpO71YbnO93FI7s3u1e7SwXqPDtaiziCb6W8z9QCPf+NMD3n0Hk8ZAm4vLsGxbyqSmE7kIOnO1aCDz0jIQC8iezMvPbSHz0BzBm9zmoKPRG9ujpVRCa8SeEzvKiZ0bzvO0U8k4T8vNhssju54o68nS2xvGXm1rzR+Li8KO2Xu6dSuryuXLs82WMEPRBKFD0W0Gm8dUHwvNUKEzzQG5o7fvPSvLeKcruRVxg9P0kEPRGaWTzdOMq8bTfvO1IP6zwV88q8mcuRvJMRVjohVj29E7XhPDGoKDzGabc8jyJdvbqcTLxlEua7jAfVuzmGmrzWoe+7p1K6uzpjObwswl09pS6EPayIyrwswt07QW06PGlIdrx36VE8ovnIPChgPjyibG88kPbNPCHJ47v57ac8/cJtPSorgTtzh7K8FKyzO8NxkDxa7dw78XmuPHtlJLx72Mo8TAVqPIMp47y0iR070e+KvCT+nrwBzBk8BPl9PF8j7bzJp6C7O82xvJMRVrz8e9a7UTv6PFE7+ryduoq73ww7PP3C7bz15Pu7xvYQujrwErwUzxQ8aAFfPAFrTz0FuxK8PX5BPfXk+7z7KxG8eh6NPPbSn7xwbCq8d+nRPBX8eDvSzCk80JfuOxC0DDz1i4g8Ug/rvHtlJL2cWcA83cWju+6T47vQjkC8v+wPO0Hg4Ls3u9c8lxoCO97oBLw3axI9CNaavBL7ozyZNQq9AxMxPO0Xjzt7ZaQ8b5g5vG03bzyHyBa9eh4NPXYVYT2U5cY8jHFNPDyhojxFiMI7/f+Buy25rzuskfi7CqqLPCoafDxGxiu8dhXhOqUuBL0njM078QaIPIkGgLsBP0C89XFVvAXEQLsP4Bs8d3arOvbbzTwRmtk7bcTIO+NuWr1aBxC8OQJvPCeMTTzd1388stgNOaWhqjlcNHS8jWgfPTBhETz15Hu8QJAbvf1yKL2t8kI6KhFOvPl6gTwI1pq8eSe7vD3xZzy8eWu8VCpzvKpkFD0maBe8F1SVujYBGrtVIcW7WgeQPCXk67zCg+y8U/0Ou8tPgjwFu5K6aI44vfXk+7zgxvg7B4+DvEYwJD09HXe8OtbfvC6WzjzGnvQ8TNnavFKcxDrCEMa5p6L/OnPxqrzpKBY95oniO+mbPDto+LA8IrcHPChgvrv2uGy8ZkehPEsF6rwtwt28NhP2OrkyVD3AyS48CbM5vbuTHj0DCoO6wnq+PFIpnjw/SYS6yzXPvLatU7x+DYY7zQASvE3ZWrxLH508gZIGvc5qCjynon88ltwYPPLjpj21b2o8RsarvATnIT3ckOg7yRrHu02tS7yu6ZQ8cbNBuOqSDr0Rkau7OD+DuzQtqTyzKNM7l3N1PKULo7vHjJi9eSe7OyD1crvtF4+8oD8Luy2wgbysqys7MLFWvaULo7w5hpq8UpzEPF9gAb0BYiE80rJ2PbRmPD0E8E88E0K7PFIpnjxNIPI7f2Z5u+Enw7wA+Ci8LbABvdJisbrYjxO8xnJluynKtjwjB828x9MvPXhTSjq3F0w7RlMFPJ6Xqbs4sik8XyNtu56XqbxfsEa8uF5jvJZPv7pacYg8PXUTvNAkyDyuOVo9q0EzPH6ArDv1cdW8ilbFvPGcjzzdOMo8ZXMwPETyurtQ4oY8Tl0GvJUsXjw3a5K6zZaZPCHjlrtWgg+8p6L/O6izBL3r2SW61i5JPLB3w7wqKwE9L/eYuc5qCr2K4x69Zi3uu9h14LvOCcC7wgeYu9XnsTy467w8/HvWutx+jLu1b2q8evurPDCx1jph7i88OvCSOx30nTuX96C7zsP9O3Em6LzAr3s8LNyQu++uazwtRgk79XHVO2a6RzwiwLW8tW/qu7231Lx+H+K8/40wu/pXoDu4eBa9y08CPYEojjtP9OK8+dN0PPiMXTsl2708mo79vJxQEj0T2MK7+ysRvcDJrry467y8paGqO+y2xDz4gy89d1x4PO0XD7x2FeE6iezMPIrjHjyGROs7srWsO5LBELs0Wbg84FNSPI7SF7yMcc28pYd3vL2uprxacQi7d1z4u03QrLz1cdW7wp2fOzS6gry1iZ08SUssPNOy9jvfAw290lmDOTE1ArsBsua8dcWbvNFr37x9ow28asyhPEzzjbxe3NU78nCAvPEPtrwHjwO9O82xvFE7+jy/9b27m+/HvLsGRbt3XPg8P0kEvTwd97xnsZk8AbJmO/iDL7zLWLA8xbgnPPEPNjtNIHK72kAjPKAl2Lzq/Aa9z9QCvFb+YzwYDlM82xSUPKwVpDxdCGW7RBWcvNCxIb0HbCI8Hl4WPYGSBrzOUFc8BS45vA1bGzsO8ne8fg2GvdsUFL2DQ5Y8C9fvvNj5C73srZa8z7GhvAr6ULvP1IK7EEoUvNahb7yInAe926qbOwvX77xpYqm8GJusPF+wxjykN7I8GCiGuyJND72ZNYo86MfLu2bdqDxqP8i7r6PSvK5TDb0VgKQ6dPGqu3Bsqjwv3eU7ajYaO4l5JrtAA8K7c2RRPScZpzqHMg+7q6srOvgQiTxN2Vo8sJqkO05dBjxi5QG9dPrYvJ599jvktfG7Hf3LPNHvijxsfTG7uHgWPSLANbwFURo7gQ5bu1dFe7zy46a8py9ZPI4i3TwKh6q7d1z4O6EcqrwxNYK9wF+2vMfTr7xZGew6dFujvHT6WD385U48w1ddu6Z1G70pp9W83qLCueddU73Ow3289f4uveWsQ72G0US83ThKvP3u/DyXGoK8HtE8PHIdOjusOAW8Ye6vOpqFz7uaEqk7YXuJusIQxrxSKZ67lrCJPH6ALLtfRk67yRGZPCoRzjw4PwO6AbJmPAdsojxfPSC8maiwuzkC7ztHmpw8BIZXvFb+4zvKYd4888lzvCJND7zRa1+6dPpYvDWgzznsv3K8WKbFO8J6vjs2AZo8gg7bvCHjFrx6iAW8dPpYvIkYXDrVzf48hXD6uy25rzyibO+6G79ivE/rtDzu9C27TUPTPNXnMTxAJqM8iA8uOv8juLyRYMY8cqoTvI+miLyNTuw7LU83PHw5lTwKkFg8GCiGu7lMh7yfUWc8hSA1vDUKyLzWLkk8tfzDO3dceDpJ2AU9OD+Dutj5C7zuIL27g9mdO9uqGz2fUWe7niSDvCjTZLz0nWQ5TUNTvJMR1ry10LS85G7aurAEnby9ria7NFAKPWx0A72SwRC8/P8Bvb1N3Lwit4e8AtXHPJMR1rxUZ4e8fKw7PN2rcLwuls67jdvFvCXSDz05HCI87mdUvcEzpzyIDy693eiEvC8Ax7p+81K82bz3OiVxRbzFuCc8SijLvDYBmryTK4m7N9UKvD3oOT1e3NW83TjKvN8DDTwGod870K5NPC0oCT1mdTS9IWkxPOfoIDyF5Ak6mTcEuwxJHD1Rdw29c85BvNjKqDxatty8hKCtvBKxAz2BQY09En6eOZmNXbzqnBQ9VzVOvKIy9zzMTy08t/wyOrUE4ztvbyG5ty8YvalEBT1Inw477shPPLHpnj3EM1K857W7vJOLwLy4hfE8Aj64PI2amjuCMJa7gQ4ovdUnrLweChG8nwY8vST7NrwtoFC9utIUu40B67x1tZq72wfbuwLp5DwSKUs7zIKSO9L8dj2oePC7937gPAqmHzzhoic9fhZYvcChzLyx2Ce9rBttvNjKKLur1oq8WulBPQ8OBz1IfSC93rvOvPlluTx+nhC8I6ZjO6jeOj1+9Gm9EilLvJzJiT0tS309D8oqveXO4rtdriy989vjPI0B6zvP8ik8G1advB6kxrvncV+7xl4Hvdhk3rw/Hem80oSvu6h48Lwt0zW8VHDjPP+JxDz9KiS8ddeIPSTZyLyuNSu9zKQAvRXuNT1s/wm94cQVvTlOsTtDwGU82MqoOnCAmD0P2yG99IWKvGzMpLzMtn09CS/ePDr5XbzeIRk4bwlXvSSmY7zQWfq9dWDHPHZgR7ppbYQ8QkievLpsSj2Z86c7NlZhOA+5s7xO5Qc91cHhOz8/17yK9x27hOQJvJZQqzoDPjg8Ns2iPGSfUrwYkTK8xl6HPPr/7jzBssO8P6WhvGxm2rtU56S8IANnPFdoM733KIe8gUENvMzYaz0n4g84tDdIvVqU7ry9UyO9NTRzOw/smD0tKAk9HhsIPGN9ZL3GTRC99HSTvEgX1jzPv8S85+igvMQzUjvx4o0569D/vBXuNTwwhym9hMKbPDYAiLzABxe8orqvPBjmBT3PWfq8GzQvPTzxrbs5+d27QiawvG2qtrpsEAG8t6dfvLqOOD2omt48val8vMp5Szx72aW7SI6XvRsSQTzEM9I7GIC7PI000DxOsiI7A2AmvXYL9DxRRKg87z8RvZQl9jx+ays9IXooPNlC8DyHh4Y8MzudPPoh3bqN33y8xpJyvF5ZWT33fmA8URHDPFotnjxpoe87FVSAPS2xRzw8zz+8n4/6PH8W2Dz5MtQ8CQ1wPVT4m7yTnDe9x7RgPce0YL3Y7JY8C45+POekRL3bj5M5nZYkPNX0xjx40F68vTG1PYSPtry6fUE964sdvJww2rz29SE9+WU5vNK3FLp5egW9aVwNPZNHZDy6fUE9/KLrvI0Ba73t6r28yTXvOp9bDz14eoU6Nryru0vcwLveEKI7hMKbvLUE4zxs/4k8dZOsui0XEr38xNk8lCX2vKvFk73ulWq8HvmZPPA4Zz0njby7ErGDPSowOTxLU4K9RQ2JvKPLpjs2VuG8Ad+XPSTIUbzh5oM7EilLvMw+trwn8wa8LUt9PCDh+LwnfMU8YLj5OynKbjxO5Qc9+pget2ZTxjldatA8FVQAPV5Z2bzwryi97eq9vMxxGz1mIOE6nxezOz8dabuxC4080pUmPWC4+TrSHmW9wxHkPJGk57wJ2YQ8BdC9PCiNPLw/+/o7YLh5vAItQbxp5cs7kBspPZPPHDvHtOC8o5hBvM97aDvVwWE8hG1IPYr3HbtFDYk8kyV2PeqLHbsP2yE9Qkieule9Br1sZtq66HHfvF5ZWTyr5wE8BeE0vPHzhDyi3J08M26CveGAuTychS28xk2QPCSmY7w5Pbq8+suDPPzEWb14FDs9vUKsvHKK5bvZZF679uQqvMDUsbvwryg8BjYIvKjNw7xjBZ07tK4JPY5Fx7xO1JC8nZakO3vIrjwV/yw8GvBSOXVgxzy6KO67QFDOvE7DGb0nnjM8Ff+sO+XO4jyimMG8V6yPO2ZCzzwheqi8Wk8MPVd5qrze7rO8gew5vcZNkLzqFNw8iuYmPf+rMj2EGHU9Eo8VvZYMTzvGTZA9pX8aPBtFJr2iVOU7P6UhO4hlGLwkpmM84eYDPfPbY7wtKAk9mQQfOV0VfTskLpy7n7Fou0h9oLwXGnE8iggVvfZ+YDvMLT89XdCaPKxOUjz/Z1a9JD8TPLVZtjmKgFy8zE+tvMChzDxmlyI9RdojvR6TT72BMBa98eKNPOoU3Lv0dJO8loMQPIF1eD1Rdw08nOx9OWnDXT2oACk8Jkngu3g2Kb17c9u8XRX9PLcvGL0Y5gW8CC9evYvEuLxmyoe8kAqyvBXuNT1nIOG8wQcXuYSgLbpCagw9A2AmvUyp2zx1T9A5Nu+QvPcXEL1OCHy826CKvBKxA71RZhY9zyUPPc+/xDyfbIY8wEx5vA+ovLzAGA48VOekvG+RDz36djA8TrKivT8/V71dN2s7/3jNu+e1O711pKM7QkgePZYMzzzkRaQ653FfvYTTEjt+ayu9/IB9u88UGDwtj9k7V0ZFus/QO7xmQk+6Nu8QvOU0rb1Sq/g8AL2pPNtLN7o5ClU9wxFkvU5dTzwY1Q692P0NPXULdLigFzM9VKPIPHhpjj0PqLw882OcvAABhrwDcR09S0KLvJniML2fsWg8kCygvDNMlDxFuDW7SJ8OPU4qaj2Ti0A6F03WPNCuzbrbKUm8POC2PIFShL2ZwMK9VxNgva7g17w/UE68TtQQvTobzLxmygc98fMEvAILU7wkUIo8w1VAO0X8ET0P/Y+8up+vvCRQijzS/HY8/ObHvG1m2jyEsaQ8dcaRu2yIyLtLMRS9ou2UvNttJb1A+3q8gpfmvJ1jvzuueYe83iGZPNsHWzxyNAw7YdpnPAXhNLzGTRA7hI82vfkhXbwYXk27ZrkQPZnRuTyo3jo9YzgCPbTi9Lt/9Ok8w5mcvLj8MrwlDC48V0bFvOR4iTy1nRI9uMnNO8AYDj2fOaG8S2V/vB4KkTwhaTG9FTKSPLQm0Tx2C3Q8ePLMOgItwbzAGA49qDMOPcxgpDwV7jW7FVSAvfqplTw8JBM7vSA+PZk3hLysoyW9D6g8vSQ/EzzlzuK8van8PE5dz7x/9Om8nDBavUjk8Lj3KIc8iioDvdL8dryZFRY6gVKEPcDlKLx1kyw8I6bjPIqiyjtyIxW9TEILvZHG1Txsd1G82MooPGHa57talO68D6i8PJaUB70am3+9BgOjvALH9jzY7JY8fkm9PHglsjqoAKm8w7sKPJStrrp4JTI4CbcWPPqYnrwYoqk8hbEkPI0j2TwVQwm9k/EKPOoU3LwIL946xisivVibGDxPKmq8+TLUPF2MPr3w0Za8zzaGPMPv9byZjd08BYxhvF1ZWTtatlw9KjC5u2n2wry9U6O8hOQJPED7erqloYi8DpfFPH706btAP9e7APAOvV6dNbx1cb48CZWoPOrybbwnwCG82ynJO2+AmLtmyoe8i8S4PFrH0zzSUcq7WulBvE5dz7xPKuq8TCAdvGZTxruKgFy724+TPMO7Cj2Hdo+8il5uPBjVjjy6KG47ZkJPu4qA3DyvnHs9pW4jvRJ+nrtjsEk8+piePMZNkD23DSo7A6SCPA/KKjsP/Q+9FXd0vHBNM7xpOp+7wEz5PMmKQrqueQe8FMxHO4Q647wxEOi6pffhvB4biLy+y2q84aKnuqVdrDst9SO8YxaUPO1z/DvWn3M8UiI6PNsH27y9Qqy8QD/Xu8NVQDtdnTU7mo1dO9j9DTxAtpi88FrVOnumwLwtOYA8dZOsu+SsdDw5Pbo8urCmvPMwNz2cpxs9up+vu2CEjjxaYIO9DPRIPDeavbwP/Q+97fu0vf2AfbzMPja9Wj4VvH/06bzboAq9b28hvdCuTbxOw5k89EEuPDBUxDq0rgm8IZyWPBx4Cz2ZBB+94U3UvCofQjtmIGG7AL2pvDPV0rpdWdm7662LuzB2MjxIBt+8OXCfvMZNED1nU0a8Z1NGPA91VzysG228Lo9ZPRW7UDtYm5i7otydPCRQCr2cDmy9RWPiPNU4o7z6drA8HvmZPH8W2DzPWXo6b28hvIFSBL2EOuM8dWBHPOGzHrzY7Ja8umzKvL0gPr0kDK48eEcgPFoLMDzbfhy9M+bJvGAexDxp5Us7b16qu15Z2byx6Z48qxvtuxmRsjpalG68QD9XvDQIODwa8NK8BvKruy/ueTtR79S8nFJIvaA5ITcwEOg8hI+2O6irVTt1cT68yawwPTlfqLxCSJ47K4UMvOQjtjpAcjy6CQ3wPEvLSbrxFnk8tK6JPG+RjztwXqq8DCcuu+rybbt7HQK9VAkTPNhC8DtguHk8nA5svCRhAT3vP5G8uIVxvF0V/TtaLZ697eq9PKtfybyNAeu8YFEpOzU0czw2VmG8t6dfPABGaLylXSy9TkxYPL1TozyunHs6Ff+sPI1WPj0VQwk9BWrzNh4KEb1kW3a8PEaBPBtFprzSlSY81WsIvTPmybwCT6872WRevMCQ1TqvnHu7JD8TPWAvO73P0Ds8rlcZPatfybyUJXa8oBczPL11Eb0/YUW8aeXLPOvy7TzYDgU9JQwuvJ9sBrwDx/Y7M/dAvISPtrtnIOE8BjaIvRV3dDwWIRs8bWbavEA/Vzw9emw9eDYpPcGyQ7wt5Cw6O1j+PFWjyLtVGgq8u31BPNvDfrxp1NS8GG9EvHk2KbrD7/W8ETrCvDFDzTvib8K8yZu5vPyAfTv/eM27QD/XuwlzOrzqR0E9Fzzfu7Q3SL0k+za85c7iPF3hET0R1He7DlNpvRIYVDv9bgA7kPk6PcyTCbxvPLy8P5QqPSADZ7xIn448MBDoPCYn8jz0dJM8jQHrvPr/bryLs0G8I4T1vN5DBz148ky8A3GdvEM3p7sMWpO757U7O7HHsDyZ4rA8Ns2ivGZTRrvhsx49SAZfvBSZ4rs3vKu8corluzkKVbtDNye8zGCkO8e0YLyuvum8YdpnPMBu5zym1fM8QuLTu2oHurxLDyY8J68qO/AW+TzG+Dw71p9zvE5/vTstF5K8234cPaL+izzhb0K7CwVAvC2PWbvliYA8jWe1vMbnxbqFGPW8C/TIvKkRIL0/thi6V72GvC0oCb3eiOk7ukrcPD+lIT3kNK27GLMgva5GIjoz5kk82IZMvF3hEbzeQwc9Twj8PKtwwLpCwOW8VBoKuwkN8Dxs/wm9VxPgvGSfUjs27xC959cpPabVczyf9UQ84YA5vXtzW71yaPe74tWMvJ9KGLzkZ5K759epvNsY0rqTnDc9ou0UPfllubwsbWs8UVUfPU+hq7yueYc8OvndPJBOjjy9U6M8gew5PDCpl7y3uNa76tB/PUvtt7soa868q9aKPCqFDD2KXu48Ft2+PEI3pzw5gZY8nGO/PNUFvrxatlw8xufFvK5XGbt2C/Q7P/v6u8OqE73ncd+7dZOsvKL+C739xFk8TsMZPUifDryZBB+7XYy+PNwY0rxgc5c6xwm0vJGkZ7w51+881icsvF2dNT2xYea7M+bJPE8q6rwEcR07UTMxuYHKy7zkZxK6oOTNPPNSpbznxrI8z1n6ujwTnDwF4TQ8ZkLPvN6qV73P0Ds8pW6jvM+d1jshJVU8rnmHO9LICzx1kyw8H9crvHUtYrvwFvk8Ak8vvH8W2DxjOAK9iGWYPMm9pzu7jjg7ptXzu2BzFzu9qfy8HrU9PXg2KT3bsQE9hOSJOhL25buEsaQ7LRcSvKyjpTw0O527VxNgPKK6rzy9qfw64dWMuaX34bzPJQ875c7iO/+au7w0CDi6+rqMvALpZLw8JJM8XQMAO2+RDz0wqRc8llCrO370ab2EOuO8oNPWO3XGkTqidlM80Fl6O/coB7t7psC7FSEbPV3yCDyjVGW8tL8Ave2V6rzAbuc7TtSQvMlXXTwDx3a83iEZvatwQDwSsQO8Br9GvOJey7vkNK28GLMgu05dTzz5VEK8mTeEPBrw0ryuNau8XZ21vBq9bbst9SO758ayvNvD/rxLMZQ79B/AvKV/Gj2WDM85ve3YvHsMCz12C/Q8e3PbvD+loTzhK2Y8FUMJPNnbH7yEwhs91TijPF2Mvjve/6o8+SFdO3KsUzsPyiq8lnIZPfkhXbzeIZm8Fxrxu8976DyiMvc6Mxkvvav5fjzAkFW8corlPN4hmTwk2Ug7USK6vHXXiLwk2cg8ErEDvd5me7uimMG4LTkAvVr6uDzPnda6jbwIPE6QtD2RpGc8fq+HvGlLljyQPZc7YISOvDZW4bz9gP06nA7sO5cdRr1CwOW8lwzPuhhvxLtmuRA8OZKNPD167LtFyay97sjPvDbvELuFOmO8JQwuu2nD3bzMcRu8c984vWOwSbwqDku7OV+oPK8CRr32XPI89vUhPeeCVj2FsSQ8EqAMPSfAoTvPNoa7M24CvM362bvVJ6y86iXTvKVdrDyEXFG8M9VSO+WJgDxgDU28Y8FAPV0DgDvhkbA8HgoRO8Pv9breiOk7EqCMvDwCJbxdFX08A2AmvEiwhTyC/TA7BYxhvI2JIz2uaBA9t9rEOgB5zTxOXc+89ygHvf+rsjtXiqE8ruDXuh/XK7x1YEc8WPHxum/naDxnIGE8G4mCPD2+SDz0lgG8GIC7PFotHr0XTdY7h3aPPJQldrzkZxI96iXTu0h9IL0tBhu9w2Y3PFS0vzsROsK7CqYfO7R7pDsnnrM8qz1bO/PbY7yE05K8wEz5PJzagDx4aY48gv0wOzFDTTw275C8XQMAOzarNL29hgg732b7OzbNIjzGPJk8HqTGPFibGLxalG68z51WvOppr7yrG227/fe+vC2P2TsbRSa9k+CTPJ+PejxszCS92Nsfu8SqEzzbbaU8yQEEvST7tjwwMla8A2CmvDbNojrPNga96oudvJcdxjzAKQU9saXCu65oEDzJAYQ8Y33kPGBAsjvnglY6QHK8vB1garvGPJk8tUg/PKv5/rvikTC8KGvOvD+2mLsdYGo70oQvvNPZArz9XQm73qpXu0ImsLyN33w8loMQO/1dibtL3EC8ZmS9PPBrTLufbIa8Gpt/vFpPjLwgA+c74aInPK7g17yK5qa7A3GdvEgGX73DqhO9/MTZuoHKSz1s3Zs8fp4QvffCPDvbw348mRUWvben37x5A8Q7QD/XOyFHw7yiqTg84W9CPJ3aADyNmho7RR6AOiDh+Lxa6cG8LQabvAxakzxsmT88lx3GPC3TtTzJzp66SOTwvGkYMb3WJ6y7orovPUImMLwIUcw8GOaFO6JU5btjwcC8FxpxvVdoM7xde8c8w5mcvMm9J71atty8QkgevFEAzLsL0lo89lxyvBiAu7xjOAK9tOL0OzNMFL1mhqu83BhSPNuxgTw/lKo8BhSaO70PR72Tra48wNQxPCeeszuKXu67r5z7vDCpl7zVa4g8bcwkPP1ugDz+KqS6loOQuztYfjwqQTA8Fe41PSp0lTogA+e7fp4QPLEchLrrR0E8sT94PNsY0rpL7be83u4zvR4KEbtUcGO6S8tJPORnEj2iVGU6DCeuPD8/VzqNI9k6ct84vN5Dh7veECK9flq0PHAJVzw1NHO832b7PPwZrbsbEkG9mY3dvJGk57xOTNg8zzaGvMYJND1pOp87jbyIO8b4vLyrG+28u8GdO8ZeB72CuVS8hPWAvM82Br0XGnG8HqTGvPA45zyZNwS9AEboPC/uebxFY2K8MKmXPK+cezzt+7S7wxFku15Z2bwMJ667Gr1tPBKgjLoGv0Y8HYLYPAv0yDzeQ4c8wJBVPOol0zwqUie80oSvvIhlGDwC6WQ6cMV6vEJ7Azy6jrg8RsmsvJFfhbxCBMK6TrIivI2amjtGQXS8FMzHPNnbHzyNmpo8uuMLvYeHBjwzXYu8TKnbO7RZtjsAziA8TIdtujMZLzy0rgk7Y8FAvNhkXj08E5w7PAIlPWGVBTzzufU8bGZauy05gLwqloM8aaHvOxhezbw0CLi6PfEtvNXBYTxFY+K7dmDHOvqYnrz/mrs8AM4gvDCHqbxLy8k7Eks5Oo3ffDmKgNw8eTapO+p6JjwSXLA7OV8oPNvD/jxJKE28ov6Lu+3ZRjp/rwe8BWrzOVrYSjrlVhu8ojL3O2P0pbycdLa82dsfPdXBYb3+O5u7soNUvKxOUrxGQXS8NlbhPHg2Kb0beIu8PfEtPP3EWTwbiYK80OEyvGnDXTwVIZs7q19JvQ8xezw6G0y9GvBSvMlX3byT8Yq8n4/6O8xPLTyWPzQ8Nqs0vZyFrby1v4A7xjyZvFS0Pz1+Fli8ByURvf+JxDwhrQ07iD0ZPVSzFTyePbq8XW5FvDBnIzzWG4w6mBh/vKIsAj0Zt2i8z1T3vKcGKj3QW1e9XjjSvHnCtDu0Nns9q0VYPJrImLt002w8/c7fOv398jwi5d481DzfvMscqbz/rYy8WZQdveP0Fj3P/bA69AVwPEu7kj3nM0U7b2UrvCzrobx9Zmk84/SWvPSg6byVD8S8qz74vLaBDr02Twu7fqocvYtGVDxmNzW8sGqTu1QK3Lze1js9K0LourklQz0Hny+6nhUHO0xPLD1/ewm9FAxUPTQ66zs1fp48AmABvWviyTtj8Sa9w4ksPEdupDxG9H28g/cKPTpfpjyV5xC7vTXevKuqXjvxAxU8NJ/xvG2LAz2Z6Wu6WbzQvJnwSz2iW5U9cAeFvB7jgzq9muS8esmUvEYqcTyZLR88HkiKvLUVqLu5g2k88TIovGOMIL3RMyS7Ge1bvIPwKr2nBiq9yhVJPKP2jrtrHx27OVHmPFTU6LuPVu+89afJvCh2gD1nAUK9jE20vMdqtDuiTVW92CRHPFHSjT3+EhO9FeQgvHBlq7teq5g9MWejPGLqxrz0DNC8sGMzvcO/n7gw+7y97yRoPCshlbyYGH88GsWoOwJLYT2/3hc92WEaPUedN72iWxU9duiMuzFnI71VrDW85zPFPHXazLsMtqq6Hp/Qu2yLA7wM5b08VoSCO1lXSj1fRhK9WVdKvTqVmbm9muS8cMPRPJgfX7xitFM89KDpuzmOuTwmxmY8zFIcvba3gbz1p0m9NAvYPP6mLD2PIPw8qx0lPFrKEL2rPvi8AhzOvKvZcTsnOa27zb6CPHbojDzsGy29/kGmvA/u+DpHdYS8p6gDu8upYrye0dM70DqEvAK3Rz2wBY28iKKfPLXfNL0jjpg7XtorvWJdDbz9adk7orm7u6Lh7jw146Q81eWYPIPwqrzHBS48FeQgvXQJ4DoRzaW82pCtPNjncz0npRM93TtCvcscqbx+DyM9xpLnu1DLLT1002w9vkOePAJLYbrwng49/gRTPM9U9zuZkiU72ZcNvV6kOD0ZWcI8mcE4PQZbfD0f44M80DqEPH0BYz026gS8deGsPGtH0Dzi5ta760PgPPj0t7wrSUi90CzEPJXnEL1e2is9q0XYuyunbr2MVBS7Wl4qPZVFtzyVRTe9pjW9PYYoeTtHnTc9XtqrPE+9bbxw+cQ8h9gSu32cXLxZlB29/XcZPHM/Uz2+qCQ93mpVvULrQr2MuZq8Z2ZIvZCM4jwQnhK9+iqru94TD70Y9Ls83c9bvY9kLzyjiqg8deEsuz6eVL1R0g09XtPLvHnqZ730z/y8WgCEO/8Skz2Zulg663LzPM+5fblGKnG9X0YSvf6mLD15jEG9zBwpPcb3bbyn/8m8SAmePJizeL3/SIa7VX2iPMMkJrxrCv070GkXO/a1CTsmxuY8bLO2vLRsbjvsvQY91bYFPePttrxs8Am9eepnPCxXCD2LF8E88PXUvJnBOD2YTvK7/cf/PEy7kryistu8bLqWO32V/LysJIU8Ob1MPR5BqrwHpg+8j7t1vJGhAr0QK0w7cDYYPWeVWzr9x3+8bLO2vHHRkTzRn4q7ntgzPZ7Ys7x0nXm7TE8sPY8g/Lowj9Y7kGuPu0eW17wndoC6jLmavP46xrp/RRY94+22vFV2Qrx9lfy8cPJkvf13GT1i+AY9w7+fvNBiN70RAxm9hwDGPJFrD7112kw9WH99vP7VvzsjxIu81YCSvN4TjzzYTPq7/P1yPKIeQrwH1aK7lbEdPYhzDL2aXDK9kF3PvNTX2Dw01WQ8A74nPCuuzjzMUhy9Qn/cvKLoTrydDqe8D1P/PND20Dx9N1a9PtunO75ysTy9Lv68bPAJPYKSBDtj8Sa8FuuAPDQZmLzi3/Y8tbChPGtVkDxZKDc9R8zKvNj1szxwNhg9lRaku9hMer1G9H076yINPP1p2bwQK0w8Fa6tPAgLljxrQHA9VG9ivOPFAz0+1Me8/nC5PP9IBr3M7RU9saCGvJV0SjxHnbc5FUknPSun7jqiubu8AkvhvIcARryLq9q7Ovqfuwy9Crwjh7g8mlwyvceZx735Ut68fnSpPDBugzxHdYS8Fa6tPH4IQz06ZgY8dNPsu1koNz1DIba61Q3MvNWoxbxL3GW9MTgQvL95Eb1HZ8Q87FiAvWxVEDzY5/O8/0gGPAYs6TxLd9+7Fa4tu1XbyDsecL08Inl4vKvg0Tst8oE8KxNVvcbB+rw+1Ee7awr9vPrMBL39zt88pwYqPb/elzvM7ZU8YuPmvGJPTb3VG4w8QuTiOiMpEj1Pve08q4kLvZQI5LxZV0o7LFcIPIc2Ob10nXm8XqQ4PTAxMD15heE7TPGFvVlQ6jjV5Zi7D+74O5otHz2ZLZ88xlx0PN7dm7zv/DS7D/y4u1DLrb1CSWk9IoBYPTmOOTzMsEI9hl5svQyHlzs6lZm5XtqrPAxRpDuesAA90QQRPNmJzTzwly49tRWoOwPFh7w0cN67RgK+vAJL4bz+OsY8YhnaO/CXLjz0oOk8RvT9PIy5Gj25JcM8Y4ygPOy2prw2Twu7MQIdPYyKh73RM6S9FX+au6KDyLxZLxc85zNFvVbpCL3Zv0A89M98vJgYf7w9l3S6mbpYut2Z6DzMUhy7mYTlvIxNNLymoSM9UDeUvKxMOLsMUaQ86NUevPEDFbweQSq8GfQ7vbWwIb1YGve7UAgButDOnTqHAMY7kf8oPb0ufjyMuRo83jvCu/TPfLwiG1K8LCEVvUcCPr14INu7fTB2PLQH6DxH2go9BpHvPDBug7s+pbQ8HXA9vEy0srzLiA893c/bvEc/kbxGYOQ8wh3GOwZbfD06y4y8K3H7u7mRKTxa+aO8vdBXPMKxX7p5ZI48cI3eO1VOD7zUFKw8eSc7PXmMQT3nYtg7WgCEvZnBODxZIdc8Wvmju75ysbw+fQG9NRkYvP1i+bvIOyG94/SWPAu9Cr1iT828kWsPvfRx1ruwahM8VBG8vPoxi7t00+y7HxKXPUzqpbzD9RI9a0DwPGd0iLywzxm9NAT4vFrKkDwi5d67MWcjPRrMCDunPJ07PnYhO8sjCb11HoC9sJkmvVBfxzxI2oo8TPEFPRRCxzyVdMq7pqEjPKsWxTxCf9y6Il+FO/RCQ7y/FAs9Z9KuPNn1MzyQJ9y8qx0lu0+9bTxRNxQ82CTHux8SF71w8mS8vcn3u9Ry0rxihUC8Pfz6u8inB73HoKc8NJ9xOrpilrwe1UM9dAlgPPQ747w01WS8RjFRPENXqTs58z+8T4f6PILpyrx4Jzu8vZrkvKgNijvealW8dJ15Oyh2ALydAOe6lh2EOyKva7w4vcy5T4d6PHXhLDm00fS7vWTxugf91bwaxag7+b7EvPUaEDtQbYc6evinPEsSWT1i42a83XG1PKMsAjzrG627Z2bIvP3HfzyUPlc9OCkzvdm/wLuiF2I86hRNPLRsbj0wWeO8jO+NPLD3zDhi42a8pgaqvDrErLxDvC+8glUxPFBfxzw6Zoa7Pfz6uz6eVLtVrLU8RzixO9mXjbx1fCa86AuSvEcx0TvdNGI85gSyPP6mrLuI2JI8/neZPCdADbwRnpK8AhzOu0oSWTwGx+K7a0DwvH57CTxqCn28mvcruytJSL1dCT88kGsPvJ5szTwoCpo8goREvJotHz3UgBI9sTQgvN54FT0jKZK97OyZvKsdpbwCUkG9sTuAvat067wqDHW80QSRvL5Dnrxww1G9q3TrvMuIDz2RNZw8I1ilO+dpOLss6yG9Xj8yPHTT7DwrV4i8PQo7vSIisjyLdec8vZpkvHSymTz1tQm9lXuqO1UYHLrM5rW8HjrKvCuuzjz2tYm8fj62O+fOvjzZl4282Vq6PBmWlbr4Ut467IeTPNm/wDs+2ye9YRJ6O4P3Crz1GhA9wh3GvIIfPjz0z/w8Ol8mvcP1Er09zee7K0JoOT6lNLxxmx680JFKvPWuKb3aYZo8bISjOwLmWjzVQ7+8x2PUvBUTNDyZVVK8wrFfvP398rzLRNw8eFbOujQEeDwDxYe8VEDPvGIZ2rjH/s28z7l9PN4TjzyYs3i8KAqavDAxsDt1FyA8J3YAO/+tjDznmEu8gulKPYwXwTmRmiI8/ZhsO/WnyTzsWIA7YoXAPHBsi7xL3OU75zPFPBbrgDxGj/e8qz74vJUPRLyYTnK8LLWuvIsXwbuD8Cq6FUknuz5ALjzIp4e8WH99vIzvjboUE7S90MDdvIwXQTuQa4+8/p9MvFRHLzyWgoo8NBmYPDQ6a7xVrLW8XqQ4Pc9U9zyaXLK71YASOlCVOj2V4LA8a4Qju0b0/bzeSQK6EZ6SOzQE+LwVUIc8rFMYvbmD6bz01tw8/p/MPEgJHrw58z+8EJ6SPXQQQL3sh5M5IVFFPCKvazyVsZ282vwTPQdpvLyQaw+8XuELu7XmFLxiT808Yq1zPNkd57yGlN+7VNTovNr8kzw+26c82Fo6vXUQQDw0Ous7S9xlvTm9zDxL40U9jLK6PCOHOLwGx+K8ecI0PW2LAztD8qK8T/pAvJH/qLyLRtS8NX4evELDjzwPifK89HHWO5V7qjzMtyK9B0EJvPWnSTva/BM8sPfMO36jPLzaxiA9AhzOvOwiDb2s5zE7yHEUPcsjCTt5moE7mYtFvVEBITy1RDs37OU5PSK2y7oQ1AW9R6SXPF58hbxndAi71RsMPZUdBD2n0DY8qz74vBrFKLyeosC7OQEAvTQE+Lt9N9a8okb1O2fSrjyRoYI7grNXPDD0XD3hRP07lR0EvTSmUbwZvki7WQCEvKvg0Tq/eZG8D/w4vJE1nLzVQz+9gU5RvN6nKDte2iu9MDGwPLozgzu5g2m8558ru97dG700Ouu8fW3JO6ahozvrQ+A7OsQsOxlngjwnpRO7NeOkPBj0uzznzj48OY45OwLFh7v+BNM8NNVku6ujfrxQxE29Xm5FvR4LN70wKlA9yAwOvPCQzruGjf86PZd0PbDB2TzwaBu8eZOhvIPwqryPVu87p8nWu4xNNLx8AeM7mZkFvMZc9DsxnRY8a0BwvIdzjDzrFE29hij5vFh//by15pS7DOU9PSshlTys57E8kAYJvZDCVbwLgDe8TLuSu9m/wLztWAA8UJU6uyJfBTyrRdg7p2TQPM+5fbyV4LA8uiwjPTV3vrywz5k8OQGAPLRzzjxaZYo8PW9BvLBc07uwwdk8vxQLPct6z7x1FyC8NEHLO6ORiDwDWaE8/jpGPbr2Lz1wBwU91a8lO9W2Bbxx0RE9gyYevUuFHzxQyy28/WJ5PJ2bYLz57de7h9EyO0ONnLzxng486xRNPSIUcrw+pbS8Y10NPZV7Kr2RmqK8GmCivNUNTLwIcJw8xzTBu7AtQDwQWl+8pjW9PP39crtshKO7XhAfPTVIK73HNME7X0aSPBmPNTxMu5K7uB5jPF44Ujza/BM8mE7yvBCQUr3VtgU9dR6AvMoOaTxm+mE8tA7IPGPxprz8/XI8WH/9vAZbfDoQaB89tXouO0aP9zwwMTC94uZWPEPyorvNvgI9j7t1uwcENjsYgXW9Ge3bPMbB+jwreNs8fW3Ju9WAErwiX4U8jLkavBV/mjy5JcM8MGcjPMfIWjxVETw9PTJuOr2aZLwwZ6O6hl5sO2tHULyj7y67VRgcvLBjs7yZi0U8ry1AOsYFrjw5AQA9x6AnOwdpvLydcy286KaLPJWxHToZUuI7SyAZPN7WO7tGMdE8mmMSPT12IbzHmce7Blt8vGdmSL0qDHU8KxPVvIPwKjy+qCS9MJa2vPlZvjxaXqq8Hq0Qu9mXjbvGwfq72vyTuz6sFD1Ph/q7NdzEPL3Q1zzienC8fctvvF5uxbljjKC7+vsXvGsR3bzLDum8q4IrvPXknDz1rim8b2Urvb2aZDyn/0k9yHEUvQIjrrzHO6E86KaLPI+79btWTg89T73tPEbF6jzLHKk8J56zumMnGjyochC88MbBPHDKsTt9DyO82bhgvD2X9DzRnwq8BzNJvVUYHD3rqOa8yyOJPKwkhTyMsrq7wyQmvA+J8rj1p8k8OTCTvFDLLbzDvx+8XquYuzQSuDx4INu8RmDku7WpwT34I8s6a9tpPHHRET2Z8Ms8NJ/xu5hOcruURTc8EQOZPBHNpbzQ9tC8ftJPvKeaw7whUcW7xlx0PD/ih7yZi0W9lRYkPJAGCTydNtq8kaGCO2b64bwHaby8kJNCvVmNvbyi4e689rWJPL7XN72/3pe7+syEPf+tDD3Ip4c8GmcCvIjYkjzeBc+8NDprOxBon7t0nXm8nj26vCcyzbnGkue8DyTsu3V1xjqs7hG8WBp3PUONnDvwkM47Pfz6PHV1xjvsSsA7FNZgvKLh7ruiJSI9okZ1vFnrYzuiLIK8tKJhvGb64Tu1twE9/ncZO8enBzy+Das7ZwFCvV6kuDtik4A7z4rqu8cMjrxM8QU8Q40cuRnt2zsPJOw7q+DRPLFqkzwrV4g8kJPCPFkvF7riFWq6kC48PPr7F71eCb+7CKaPO34WgzgDWaG8/P3yOwzlPbxedSW7rLiePMLnUrt1fCY86xRNukY4Mbz0z3w7nTZaPAzsnTyrHaU8oluVPPXdvDyochC8Q1epu97dG72Vqj08DIC3u7TRdDyDurc8OfO/PAbHYrx/ewm9DFGkvKvg0bvwxsE7hz0ZvOOIsDw13MS8hl7sPNA6hDu5M4M8NAT4u/V4tjwPJGw8J54zvXQ48zweprC7XQLfvExPLLz9Ynm7AhzOPAgLljy+qKQ8fTD2u9W2BT1edaU8J2+gukc/ETuwwdm7R26kvLDPGbyHNrk8WBr3PH6jPLx+CMO74/SWvHkuG7wUE7S8lAjkvGvbabzCWhm8KxPVO16rGLx6XS48Iq/rO8MkpjxLrVI5p//JPEIhtryrRdi8CNwCvcztlbxjjCA8EFrfPItG1LxYf326Xj+yvE+9bbxaLxe9o5GIO7mDaT0wYMO8GswIvaMlojv8/XI88c2hvBmPNb1GMVE8yyMJPaIsAr1I2oo82YJtO/a1iTzfrgg8K91hPGjZDr35Ut684ioKOhAyrDz9cDk8h2wsvLAFjTz5Ul67A8UHvd7dG70eprA8ntgzPQu9Cr1Ctc+7cMPRPFnyQzteOFK8IhtSvXnxx7xwyrG72sYgvU+H+rxVrLW8J9QmvBGeEry478+6QsMPPP6mrLqiuTu8SNqKvCKv67yi4e468QOVu4fKUjtwjV48J0ANPP1i+bxvLzg9bOmpPAJggTxUQM853gwvvfRq9rwGmE85tXquu90ML7yZi0W8mB9fvA9Tfzz9Yvm89HFWPR6f0DsaxSi9YieaPFDz4DuPXU+8ArBnPKahIzxrR1C87VgAvZ5zrbxHbqQ8q4kLPUy7Ej3nOiW6dNPsPJUdhDxMu5K8h3OMPOK3wzvZzQC9Il8Fu5DJtTwUDNS79ULDPIYo+bqxahO9lR0EvcztFb0VUIc8Iuy+vFUYHD0UcVq8x0KBPBpgorzxOYi8WZQdu2L4Br3tvYa8fW1JvKtMOL0rDPU7Z20ovN47QjyssT683q4IPTlYRryD9wq9WQCEPJVFNzpmX2g8uTMDvMoOabzqDW08cZuePMZcdLunDYo8LfIBPeIV6ruU2dA8wrg/PcMkJrwQaJ+841mdvD0Ku7wIcJw8lecQPMt6Tzx1qzk84npwvGul9rsLG7E7uv2POzQEeDvRzp28z1T3O7UOSDxikwA9kf+ovDUSOLuD8Co8K3H7u8b3bbywkka72fWzu6znMTy1S5u6TOqlvFSl1TkRAxm8MJY2PLnvTzxrCv08WBr3O4c2ubsI3II8toGOvL6oJLws5EG8Zz6VvD0ybru9ZPG7sTQgPLa3gbwxzKk83gyvux46Srw5AQA9fZxcOwjcArxirXM8OTATvHmTIbthEvo5PqW0PKuj/jyC6cq6z+/wPGMnGjzC59I8RwI+vFh//btMTyw82sYgvLke47x1q7m8Vaw1Pd6uiL1ZjT28p9cWuxkjzzhsupa8mi0fPawdJb0KFNG8oat7PPVCw7zCuL+8qHIQvHSd+bxwB4U7jCUBvd0Mrzw5AQC9WH99vA9T/7zoCxK9NX6eO3D5RLyCXJE8lUW3vHE2GLuQLrw77ErAvLCSRj3Zgu28XQm/vMoOaTzCK4a8JeHcPMD5VztFDRC9SAmUPGEvfjygBIW6/XJbvCXhXDz4gJK8aqJtu+hnWTx+3E29bXVSvdr8YTzrEZ89RmGROnW9XzsOLlg8z2YSPLYPhzyiKSg88//ruikOgjztkIK7oQSFvNNc1zzyXSg8jEdFPGK0oD18Ogq8oqwHvCPrl7yKyGE8CjyPO54IgbuXi1Y8/XgavXXDnrxqVCu8qkiWvRGEHDwaxmq9dBucPCKXlry9qVI8shODvJc9FD272LA8HkFSPCBsND3tPAG9/XLbPEGSKLtKLrc9USJDvVs9Nb0N4JW8v/8WPId+G7sJNlA8tzQqPRIsHz0Qrbu8NpzZvG8jFDvWKX08sjyiu90jyDx3vyK9JLb6vCGXlj0oMWI9yhoJvWLdvzzGmWK9bx3VPLbgqDxbEtM8HRbwO0OOLLwqMyU89CrOvCi0Qb3kyRE9YAwevBckJ7w2nFm8pMvrPAu1szzGHMI7XxAaPcuRaruy6KC8JonfvAc6zDxGYRG9v3w3vRgeaDz0Way8S6fbPLO/gT0il5a8y8KLOmTZwzxdFBY9w6MdPNWB+jw/Pqe8MqRRvdIOlTtE3O697F/hPIXWGLyrcTU8yO+mvCsERz0z/hG9HfMPParu1Tt5loM8lwj3PFw3dr3q5jy7lmD0O8y8TLxIV1a8R10VPe02wjwJPA+9mQo6O/mltTx9C6y7jPkCvaKmyDv1p+68A5yEu6/snLwrXoc74vIwvPWnbj0uKWq8/SAdvV1iWLwV/4O8M6aUPBTUoT27r5E8gVVyPFnncL06af+8gITQPEBpiTtvHdW8szbjO54IAT1GYZG8Sv9YvDnyHToaxmq9r5ibPCM52rzdpqe8WumzvFFNpTyuPlu8iSYePVF2xLrO5667pnPuvOFKLr3Jxoe85e40vKX2zTyq7lU81i+8OqeeUDuKzqA8tmOIveNGMjqzEwM9iVEAPY/A6TxyHxi8mTPZvM5qjjydrsA8VkUtvVjCTT1rUK88gNjRuseZYjxmsKQ8t2OIOT0TRbwFu+i7G0uNvLBj/jxxQvg8BZgIO0utGj1mLcU8M0xUPUpZGT0otMG7mTNZOruEr7sxJ7E8Evv9PD/kZryq7tW5YjeAPdhUX73oZ9k7G27tu0pZmbwoDgK9Jgy/PL+rlTtlqmW9N3O6PdQzOLyC/fQ83IGEvNDjsjuyuUI8YLLdu1nn8Dy/+de81qzcvG11Urpte5E8UXwDvf/In73+dB690t82vGQzBD2UO1E60zO4vPEJp7xQKAI8jqEFvXxdajtEDZA8r0AePBl4KL2C2pQ8sObdvADDYL0XUwW9429RPDP+kT0XTcY7AhmlPS/RbLwAHSG9FnblvJZg9DzRMXW8YLicPS2yCL1fjTo8BbtoPA+reLtkM4S889wLPRIBvbzVgfo89k/xPALFIz3z3Is7y5FqPEjatbzQiXI8Si43PUhXVr2mc269IGb1vDB5bz3g9qy6TCT8O2gAKjysE3k8pnNuPXbuALwEE2a9NpzZO234sboW+UQ8zRBOPaxtOb2/fLe7dcOevCsKBrsSAT085e60PNr8YbzgnGy7UdCEuwa9K73Q4zI8lekSPTXJdDxd5Tc6waeZPeRxlDxPzkE9V5muPFYaS7zQZpK69n5PvRTUIT1O/R+87+QDvc8SETt6tee7RrUSvbxbED1rfw07SLGWPLcu6zvPuNC8lemSu9Ypfb3yXSg9UsrFvOCc7DuRaOy7PJogvWkAqjwaICs9bqA0vWnRy7yslli7x8TEPCgx4rxNzH68Zi3FO77UtDweQdI8ggM0vD/BBj0ElkW9wk+cu5AaKr1I1Ha8cMsWu34FbTs8a0K9iktBPEGSqDpGMrO867fePBihxzpGtRK93M/GvI/A6bwrh6Y819e+PENfTj2Tai89paJMvcgYxrwqCgY9U8wIPSePHr09GYQ7MCstPC6ujLu+1DQ79iyRPOHHTrz4UbQ7dzxDvDnHO7xq/K27bfgxvOuOP70dcDA9+vk2vUwBnLyZsPk8Au5CPJ4Igbxp0cs7ycYHPJRqLzziIQ88plCOvDwXQTwp3yM8Wefwu211Ur1Toaa9BmkqPYL9dLuvmBu88jSJPADDYD2GKpo8Nxn6vDdzOj0g6dQ8G/HMu0hX1rx+BW29QgtNPGCy3bz0hI48FnZlvdfXvrxAD8k6mLa4u58tJD3ziIq8xiIBvLuEL7wj6xc9YOG7vBnMKT0pCEO8hdDZvNxMZ73LGok84KIrvf1y27wJPA89WhJTPSOTmjy8qVI9zecuvWQCY7xWRa06jPmCPGgvCDy0YUU8l4vWvAveUr0OLtg8wPlXPOkPXL2uu/s7mGI3u0Q2L7p0RDs86G2YvUixljzIHoW8g4BUPL6rFTuI0pw7ty7ruhRXAbw2nFm8VsiMO99Oqr0ZzKk8f63vOp/ZojslOx09Cw0xvTuUYTsJkJC9IGZ1PGCy3Tz/yB89S6fbu6Woiz0VzmI76OT5vBpPibuwvb48b5r1u5c9FL20YUU7dReguoVTuTzA+de79/0yPRkeaD1/rW+8yEFlPaodNDwfm5I77+SDuUixlr0L3tK9BxGtvP+X/rwfGDO7y5FqvKH+xbuHfpu6Q19Ou1IeR7wv0ey6J2DAPOFE7zxFhPG877UlvdwphzsOiJg8Omn/uyXhXDyqcTU9HMitOmiDCbyJIN+8UsrFvGkrDL22Dwe8tLuFvLbgqDzl7rS8mbD5O8lyBjvRi7W73CmHPH23KrsgQ5U89afuvFWXazyc3R68CbkvPTV3tjwoMWI93aYnPbWMpzt84Ek9gv30vL5R1buwQJ48C1vzvC2sSTwgbDQ9goaTOzuUYT3GygO8YWAfvRn1yLtEDRC8Sta5PFrpM7xm2wY9s5AjPUp8+bxfjTo9bErwPE3M/jyC2hS8LystvZFo7DzJbMc7qcPzPEFjyrwugyq9QIxpvXmQRDsz/pG8jE0EPc+PMby1jCe9ZoFGve4HZDx56gQ92FTfvDOmFLzPvg+8uq1OPdLfNrx3a6E8BewJPejqOLwLOJO8d5TAvDB/rjzDxn28RrWSO50xILqMn8K8f4oPu5/ZorsgZnW9TX48vP3v+zwiDng8BkALPaycF728A5O4WBwOPG8d1TzO56676pK7uP7MG728LDI9waHaPD085DzDxn28OuzePJIQb7s2nFm8Zi1FvCVefbvmv1a84+zxPMgYxryMcGS8aqJtPAiOzbzi8rA8TK2avKzwGDx8tyo9UJ9jPLwmc7ze0Qm9g4BUPMGnGbyeK+G8/CQZPb5RVbsEmAi8mo2ZvPWn7jkexLE8QWmJPC/R7LsKDTG8OkYfOzryHTyRaOy8eZaDPJAaKjwoDoI7JzehvIrIYbqYtri8ZoHGvES5jrvtuaE7p57QPMw/LD18jgu9OW8+PT085Luhe+a8UJ/juxn7Bz2xEUA9BMEnvQve0ryEKNe7kMYoPUO5jj3BeLu8Rt4xPLuvETx0Fd28cB1VvPmlNbzAU5i73x/MO9NcV7tqou28NfRWPKucF7waT4k6W8CUulZFLbyO9YY7vanSOyyyCDsNA/a6WBwOPeQdk7tog4k8Oh2APBnMqbu2Ywi96hUbvOxf4TvwCSe8mttbvHkN5TtdYli9hdBZPPGMBrwgZvU8bXVSPFrpszxp+uq7AJrBvGvNTz3tPAE9DYbVvE8mvzymSk+9tGFFvENfTru+zvW8R69TvYxw5DqkJSy9GsbqvNrTwjv7oTm9iSYevRckpzuNm0Y9yO+munw0S7ybWHy8AkLEurDmXT08mqC8ZFwjvUQ2rzzaqqO8N0obPOWaM7wqtoQ7rZZYPEXcbjzb1QW94CWLvCIO+Dza/OG8GiCrO1w39jy5Bcy877UlPT2WpLy7fnA8DjQXOxv3i7yNHqa8vig2PB0W8LkW+UQ9/5d+PDodAD3fy0o7n9mivHq157ycg947fwewvC1YSLrX1768oyPpO9Yp/bzLboo8tOQkPJAaKjyXi9a7RDYvuz2/wzslXn07VZ2qu8oUyrwVzuI7uQXMvCKRV7uJIN+8SAkUvePJETycg1686GdZu4r3P7xZlTK8fF3qvJ2uwLxK/9g8V5kuOa/sHLj89Tq7GKcGPcnGB70HY2u8mY0ZvJjlFjwjvLm80g4VPQVEB71lsCS8fOaIuyYMvzw3ohi83ExnO0PirbzC+5q8bqC0PBr3C7yeCIE8eg+ouhinBj2fhaG7dBscvGt/Dbw8a8K9pnNuPDFWj7yZtji7IGb1uyxYSDyUlZG7qu5VPFlqULvwr+a8DwW5PAFr4zwNhtW6Kd8jO2krDD3ImyU6fuIMvHuSB73visO8VPUnPM7hb7yf2aI75BdUvJcOtroTJmC7ugcPu3a937pk2cO7R6/TPC6sSb2EKFc75jx3PKkdtLwFwSe8oASFOgjizrzLwEi8qR20PMLMvDya21s95hkXvOXutDsA9IE8q2v2uiaJ37x5E6Q8F3blu1u61TzcgQQ8UPmjvNPZ9zyhWIY99afuPAZpqrwuBgo88VdpPJY9lLvaVqK8lLhxu0MRjDp84Mm8yB4FvCdgQDxVdAu8q3G1ORAwGzyQ60u88K/mvHfowbvfy8q7SFdWO+4NI7zMvEw9KIsivWZYJ70VzmK6d2uhPIf1/DxEDZA71in9vLxbEDxU7+i7C7UzPX2OC7xp+uq8BzrMPLJrALyJnX88cMsWPTVx9zzrjj88SNR2vKFSR7y7rU685JozvUWE8TwfGDO63FKmO/PcC7yzZ4S848kRPDrDvzxRfIM8x8REvKmgE7zFn6E8a1Avu+4NI7zrt1673NUFvLbgKLzllHS8Tcz+PPCGxzsOsbe89qkxPQQTZj0sXoe8ZaplvEgsdLzRuhM8wPlXO9mFAD26AdC8bfixvKCBJT3YWp67QjTsPNjR/zxOJj+8yBjGO5c9lLxt+LE8HkHSvAllLjx5E6S8y2hLvHtjKb2cAP87n9mivNdanrwDlkU73M9GPTEnsTx6tWe5N3O6vKOmyLjgnGw5dBVdvKF7ZryleS099k/xO9O2lztsSvC8Z9VHO0CMaT2O9Qa9YrSguwu1M7zX1z68NfTWPK3Bujzmlrc889wLvREwm7sG7Im8rZZYvDzFAr2Xi1a8gtoUvc5qjrxV8Ss9jhjnPNNilrxi3b88a1AvPWOFwry9qVI8f63vPNAMUjx8t6o82tPCPJFobLz6+Ta8Evt9PYT/N7waxuq8V8JNPAeUDDzKGgm7JBA7PRTUoTwoMeI8QOYpPSIOeLxitCC73vRpvBt0rLpLKrs73aYnPICKj71msCQ7b3cVPH23Kjsye7I6w6MdPZSVEb1dkTa8HBwvPDcZ+rzPjzE86ZI7vIzKJLxabJM6y5FqO+B5jDy/qxW867fePMTxX7yV41O7TAGcPGtQr7s9PGS8bCFRPENfzjlfjbo86oz8OebFFTyPnQk8dG8dvdgCIb2WPRQ83k6quZ0xoDtlhwU8Omn/Olw39rrcz8Y843WQvD/BhjyzvwE9ty5rvIxNBD27fvC8v/+WPFntLzpU7+g8FP1APLwDk7uRmQ29Cw0xPYZNej2zNuM7VCAKvSxYyDwNA3Y8zpOtumCyXTvJxoc8yB6FONt7xTzG8yI7sOZdvDyaIL3wtaU6F3ZlPMXIwLueMSC7DQP2O7/517ytbTk77BEfvG/0tTzgnOw88VfpOe4H5LyO78e8Pe4hPGr8rTxNT168nIPeuqGqxLtt8vI63tEJPdWB+juAio+8UkfmvPTWzLxhL348fF3qO8YcwjwVUUK8tGHFvFlq0DxnUui8UU2lvKhMErsjvLm7cm1au+bFlTw5bz68MVYPPBBTe7uUO9G8+SJWvA2G1TyXDrY5sY7gvHfugLwyIfI4hCjXu0OOLD0HlAw8KQ6CvATwhTz6n/Y87F/hvFw3djy+znU8/E24O/4aXryvaT098jSJO3kTpDypRtM8YLgcuqnDcztbutW8OW++PEA+Jzsze7K8HfOPvMlDKD3VgXo8fzDPvBZ25TzNk628tmMIPUhX1jzVshu8IEOVvLkFzLxTysU7iXofvM++j7xNzH687Dq+vKakDz0+GYS8Tcx+PExVnT0vK628FnwkO+qM/DwA9AE8QgvNOwveUrybWHw8x5livJuyvLxk34K7u37wOm+adTypw3M8n4Whu3foQbz/RUC97ZACOy/RbDq4iKs6PEIju+hn2bx37oC8GKcGvWWq5bxAD0m8AcPgOw4uWL3mv1Y8YYk+Pfr5Nj1vdxU8gv30OzNM1DojvDm8VvErO18KW7x0mDw7ZIsBvWyksDnSi7W68OCHO45ypzzd+qi8J48ePWFgH7wn4588ZFwjPFoS07vjb9G7WhgSveFKrrzmQrY87bmhu8PG/Tsikdc7s5CjvNE3ND28AxM9MqRROy5aizzV27o5eZaDvRIsHzz973s867devOXFFbsG7Ik8TdK9vPj38zzv3sS7lGovPOFEb7u1tUa7RGUNOjT6Fbxy8Lm8s5AjPGI3AL0XJCc7fjYOPGIxQb01cfe8mQq6PJHCLLzvtSW7pnNuO9eDPTy5Bcw8dpTAujFQ0LzziAq8KA4CPOPscbrS3zY8HEXOu3+KD7nVhzm89K2tPCxeB728LLK7/XgaPAthsjyhe+Y7EiwfPT5tBbzT2fe7xUugOzIhcryk+sm7YAyevFQgijwbnUu8feIMPfIuSjzh9qy8GaHHPFR4hzy6s407K9snvRL7fTxILHS8tuAovXy3qrx0Fd28AXEiPIYqGj3B0Lg8wPlXvJ4r4bqsE3k8kfGKPNPZ9zv6KJU8ny0kvMGhWrwv0Ww8sWXBO7oHj7xjhcK8g6s2vMaZ4rzfTqo8VPUnPKV5Lbxpgwm7RYRxPF28mLz7obk7646/PJFo7DtUzIi8fY4LvCi6gLt36EG8w6MdvW17kbyIoz687ziFPOmSO7w2Hzk8cup6vENljbxMJPy7x3DDu92mJz2XujS8zRYNvdhUX7vvtSU8MPzOvH6zLr3wr+a6vs51PCozJbzRuhM9C7WzPDrs3jw7F8E7+SLWO9zPxrzRizW9jnKnvLW7BTxYHI68wR77uwFr4zzMFo28j8BpvEYyM716Dyg8BmPrPBxFzrwVUUI8h9IcOi4GCjzs4kC8hKV3vSpiA73tDaM8uIirvKZz7ryV6RK9/e97vCRkvLxHtRI8aC8IvFPKRbyE/7e88//ru20nEL0cyK27KgqGPJbjUzyhBAU9+XyWPOH2LL2aXrs8uq3OOuaWtzzWKX28GaHHvPvK2LwgZnW8+dQTPETc7jycg946BuyJPHmWAzzRtFS8Sv9YPZXpkrq05CS7C+SRvOIb0Dte33g82a6fvGdS6DsvAo68+PfzvEjaNbu9qVK8OJ4cPYr3vzxp+mo7VZfrPB7tULwZ9Ui8EoScPLwsMjuoTBK9L6jNOy8rLTs7lGE84PYsPEun27p56oS967deOwD0Ab0DGSU4zDltu+nBGT0NjJQ7j8Bpu4XQ2by0DUS86MGZOksqO72PSYi8noUhvUDmKb1bEtO8Tia/u80WDT1RfIO8xPeePAFxojuBVXK87mEkO9rZgTxUSSm7avpquR3zD71vHdU7feIMPZ+FIbyUai88cseaPOqM/DyQ8Yq74vIwPd19iDu7rxG94+xxO22ksDwYHmg7/XLbu9munzz/8b47jPkCvQ4uWLwoMWK8bs+SPNRcVzxmLcW7g6s2vC+oTbwgZvU80Te0vEXc7juIo768ORs9vOF5jDna/OE8udbtu5Dryzwkk5q78i5KvEixFj3x4Ie8DoiYPC/RbDyNHqY84HNNu6OmyLpt8vI8hSqauljEELxWyIw7G3QsOqZQjjycAH+8IpHXO1c/bryfsAM7ikvBvD/k5ry8qdI84JxsO54IATykJSw9rUSavHJtWrpP9+C767deO01+vDw6aX+81YH6O5rbW7xQIkO8Jbg9vFHQhLzvtaW8JBA7uyKR17z6+ba8baQwPVmVMr0P3Bk694ASvZyD3rwv0ey8sGP+PJ4xIL2hWIa8G8ZqPNxMZzviIY+7AsWjvP7MGz2A3pA8QYxpvLRnBLo4x7u8NXF3Ou/exLvNk628CrPwOxOAILyOHiY8jPPDvEWzzzitwTq8QBUIvGMIIj0QMJu8jPkCvZyDXjzLGok8YNd9PKXOvTx5xua8tz+QPKfKY7vTi3u85I/ju7fSpTzpfj47tLlFvBJyDz0l3we8F6nmvDuxNj3Vgoo9S3K5vNPSOjwTBaU8ZQ2Yu5qL0TwCsQy6B1XOPBNuNTySqAQ7IYNCvdoAIT1ndii88NLPujSD0D3YLoA7oZOMvGLOjLxXiyA9fYu8Ole1pTwHLyM74cEcvXT4H70yQOu7JStevdQ7Szw3CZu9QgHuuxeDu7ympDi73343PCvKCD1x3786qb0YPO/WKT23i2a8EnIPPUNuWLxapIA9/puGvXNE9ryeeiy9M/SUO1DwTztGYY28dYfbPFn0sDyeVAG9Gcagu9mXkDtJM6464ybTOhVEsDxBcjK9rxWEvIRQkj3GvS09ah5EvbZlOzyR9Fq9u1SWPFAWezwpGrm7B5yNuxPbn7wBkPg7whUSvdptC71h+BG86X6+vLIJ9rx0izW9OkRMPLgVCz0Ff1O7xpeCPa2L3zlSDYq8oN/ivKZ+DT1N1++8XXYhvVIztTydERw8hrHuPEWHuD0xREW9llCgvI65Kbx/O4w9VtvQPExu37poTCM8pWFTvco/Hrw1Wcu9WK3xPEIBbrwq8LM82pM2uvGsJD2i/Bw8rdKePMCL7TtLBc88B+jjONguAL0eRDc7vZOhvLMqCjwlK147LOh/PbJQtbvZKqY5MEgfPApuLj29TGI8hHJjvTEemrwn/X686BWuPGKLp7vFdm684A1zvBNICj1WIhC9bTckvSXfB72lO6i8LQkUvKSHfj0lK148MUTFPBeDO72lYdO8TviDPOrBIz3Eeki8eS/3PKVh0zxRNw+9AZD4vHXOmjyEuSK9J9dTvPcAtrxgIpe8obk3u+wqtDy7wYC8uGHhPAdVzjtg1/27T4e/vEoJqbtiiye8abWzvCdqaTxytbq7DvCevPvvEDw43xW8YNd9vXJy1ToesaE7xXbuPK0edT3B0iy8f/RMvd6CET1RN488U3aavD1dLD0aCQY88TvgPOmk6TxAnLc7Ys6MPOBYDLyNUBk8NyvsvI+1Tz3wPzo9/i6cO3OPDz0TSAo9aY+IPbioID1QXbq7+dJWPK0/iTtRNw+8v9aGPUxuX7uSqIS9pGUtPfa5dr3WWAU8WWGbvIRy47wEPO67LOj/PJtlpjv0LhW9jrmpPQV/07qYIkE9paiSu/GoSrzxO+A8136wO165hrwosSi93343vFyczDuuOy89uqBsvN0Zgb2pKgO9JXIduWLODLsLatS8g3a9vM/j37yXJpu7BV0Cvco/njzo74I8LQmUvPUEEL3mrB09OQHnvA/Gmb3eYX28pNIXvMuCgz3VN3E6QyKCPTEemjvCN2O9kqiEu3BQBDySOxq9elALPasiz7yP/I48xePYO2m1szkyQGu8n3ZSPSdq6bwPM4Q88BmPPJa9ijx822w8l0xGu1/bV7wHVU48eZzhPEUeKL3gel292ibMOywzGT0TbrU8xOeyO2LODD2dfgY81Kg1PTTKD732uXa9icpOPDBIH7x5xuY8i6QjPbtUljpUckA8yj8evM3rk7yIYb67l0zGPKYRozsd2ya7EivQPBrocbxhHr08rGkOPYRMuDx+ZRE7C/1pPYHGbTv32go9rzfVPM9QyrwclGc82m2LvJrSED0hyoE7TddvvYld5DxLTI67vFA8vTuLCz2TN8C8lDPmu0AJIrmWeiW8LQkUPF6Y8ryj+EI9f/TMvL3f9zj5Zey7NyvsvPQuFTyhk4w8JZhIvWGLJ73Sj1U8HrEhPfx+TDuXJhu9A0DIOjuxNjyYuTA8Siv6vEp2Ez18Iiy9DBqkuaKPsryrk5O8nqDXPHy1wTwTbjW9DzMEPELfHD3m+HO8OkTMPEWt47yEJo28ZDcdvdfBlby8KhE96+P0PNuPXD1pIp49PsoWvYukozz/BBc9bfDkPELfnL16UIs8yqwIvJ4Nwjrffrc8fofiPOB6XbsJAcQ81Kg1PDlIJrxi9De8okhzvFnOBb03K2w8wxG4vNvWG7y9vSY9ZXoCufHO9bpt8OS8UIPlOigeEzoCsYw8Vd+qvP6bBj1LmGQ8bll1vGlMo72kP4K9tAAFPRzfAL2EuaK8uDu2O7STmj3xqMo7yCLkOgXsPT3vQxQ9mCLBu0sFz7ySzi+9fhr4PF7fsbxrZYM8Fzx8vQOtMr2AXd05134wPEigGD2V5w+9Y4PzPN6Ckbwwbko979apvDlIJreitd08tz8QvYQF+bx8/IC62m2LvHG5FL27wYA9KoNJPXOPjzwX8CU9ytIzvdsmTLrgDXO5zue5u7znKzyKEQ49aUwjvb12Z731vdA8xwCTvOnrKL1veok7ON8VPI/bejzW6xo9AZB4vcykVDolnCK9Ys6MPJI7mrqoVAg8u3pBO8A/l7wImDO83RkBPLSTmr1SWWA8fLVBPBrocTy+Il09/Os2vZ6g1zxV3yq9H9PyPNxDBj3b1hs9C7ETPMeTqD2nM3S6g3a9vPUquzqJh2k8gBGHvJSgUL1QrWo8A0SiO8s7RDzHJj48KB6TPEBVeD0wbkq74r3CPDQWZjxEsb049cEqvPoZlr2z48q906wPvTxhhry3P5C8lgnhvEWHuLxftaw8XOx8OivKiLzxgh+80tYUPHHfPz2AEYe8eHqQvHRlCjv2ufY8f/TMu1Bdurfffjc8S5jkO/NYGr0EFsO7/MULvUVA+bxd4wu99rl2vG6gNLskVWO8vZMhPNZ+sDqN31S8Ni/GuasmqbzQudo7sVQPunMipbqpdlm8CkgDPVMv2zw8hzE95xkIPRUehTyV5488Fzz8vAkn77sEFsM8KLEovdomTLvIaSM92HZ8PAQWQz3cQ4a8TURavFit8bpTL1u7uqDsO96ovLtizgw99C4VPIJ6l7yBDS09Ox4hPTnbuzwB/eI70tYUvSWYSD3sKrQ8Q0gtPTyt3LwhyoG94pcXvbX8qjxxBeu8m/ThPGuH1DmFtci8qSoDvcPrjDyRHuA7hCYNvd0/rDs1WUu8Sit6Pa8VBL1vDZ86Xt8xPUREUztCTAe9pD8CvcCsAT0v3w69S0wOPRAvqrwT25+8vXZnPHQey7zLYW+9CSdvvNZYBT2Lep47TG7fPOzj9Dqs/CO87vxUvB1IETyzKoq8NwmbusA/l7xL3yM9jHbEuhNICj0kCQ29aosuPNOLe7wWrcC7YNd9vOwEibxDSK274efHPPEVtbu+AIy8fPwAO112Ib1g1/0840z+vFUB/DzmZd48vUziO6GTDLwkVWO8fhr4OzecMDyXcnG84eshPfnSVrwPf1o7hAX5vPiwhbtC3xw8wqinPGV6AjoEg628tSLWO2bCfjzuj2q8qnJ/PH34JjtszpO7GsJGvE+HP7ySYUW8QZhdu79pHLxxBWu8RUD5PJ4NQj0l34e8Th4vPYvniLtytTq8dYfbO51+hjyeoFc9pNIXvUEFSLypKoM8NaCKPO9DlD0LRKm8GVm2O72TobsntQK9h2WYvKz8I7wX8CU6zaB6OxddED2E3828/3GBPP5QbbwdSJE8W+x8vK47L7zcQ4a8aG70OjlIJjzyfsU8tz8QPQKxDLzhVDI7yj8ePIo3Ob0p9A29DGb6POtQ3zzuj2q8eQlMvJffWzl8SNe88RU1PPWXpboMGqQ82iZMvNBMcDx/9Mw8WBpcvOnrKD1VTBU9jHbEvEBVeDyiaYe902XQuyJ/aLyM4668h7FuvSYB2bx8/AC9YofNu0gzrrznqEO94S4HvSD0Brxb7Pw8GX9hPGPKsjvUqDW5mWkAPOgVLj1uWXW8ffgmvT2D1zzvQ5Q8TLWeuwOHBzw5SCa8gnqXPIVI3jxdCTe9Ilm9vM9UpDxQXTq8iDuTPGsa6jvil5e8e0wxPeeow7sw2zQ8F/AlPIVIXrz4sIW9QkwHPF3jC7tLBU89w+sMu3JIUDyzKgo9UjO1vDVdJb0TbjU8hCaNOwecjTtKwmm8RdfoOy6Yz7xHXbM8suNKvEhZWTyrIs+81c5gvA8ScDx+ZRG6leePvBBVVbw6REw8PuznvKFMTTvsBAm95qydvLtUljyM46681TdxPOBYjDsumE+8i6DJvLgVCzyfCeg8Ug2KPPyk9zumpLg5ije5PLUiVryMdkQ7kmFFuVCD5Tv+m4a8zaD6PJ2kMTvslx68g5xoPBIFpboGEmm8WK3xvA2HjrtW29C8Ni/GuxwnfTv1vVA6Epi6O7rrhTxloC27r6iZu429g7xNRNq9lDPmPArbmLzWfrC8aAVkOwGQeDwn/f67FocVvDYvRrwTSAq9eeOgPJHSCT2HZZg6gaBCPO78VD0+7Oc8YvQ3PNEAmryJ8Pm8pGUtPJ+cfbyzvZ+7QyICvVwNkbwntYI8PfDBuxwB0jvpfr68vSY3PfPFBL2Z/JU83343PdCTr7wMrbm8PfBBPEJMB72iaYe84S4HvLk33DxIMy49yj+eO5s7ITxFhzg8cQVrvFitcbvMYe+66esovTXGNTyf4zw8NytsvBeDuzyXcvE8HHKWPOiCmLxecke7nF1yPA4WSrzHJr68lnolvPdtILw7HqG83RkBveMmU7y5pEa8Qt8cvGbC/rvpfr68dxEAvYJ6F7t3pBU6z1QkvIDKx7y2ZTs9R8odvLW1a73sBIk7tbVrPI29Az0/M6e8bTckvdkqpjyJ8Pm7PjeBPQCUUrutP4m8kfTaPAxm+rteTJw8aY8IPCAW2DwqXZ482Hb8vK8VhDvUO0u8QZjdvDuLCzydfoa82ZeQvEoJKTz6rKu6zuc5PInw+TzUzmA6pTuovGqLLrt8tUE9wD+XujyHMbzrLo65VQF8O2hudLyOTL+8Q9tCPDpqdzvaACG82FBRPE3X7zw43xW8pPToOkZhDb25EbE813pWO9v8Rj0lK947gueBOwmUWT2pKoO89wC2PNWCijtPYZS6eKA7Oq0/ibzbj1w82iomvCf9fjz5Zey8V7WlvNZ+ML2Cepe7Fq3AvNd+MLzzxYQ8BV0CPSmHIz2kh/68mCLBvDbC2zzm+HO7wIvtvB/T8rtAdgw9suPKPErCaTzd0sG6hbXIO+VpOD1TwvC8xXZuvKU7qLuXcvG8SwXPPLf0djyYubC7dLFgvZKohLyPj6S7aviYu32x57yiIsg7Xt+xvN6CkbxH9KI8J9fTPLg7Nr35rCs9b3oJPenrqLxPrWq6EMK/PM+9tDx2OwU9fhr4PANASLwXPHw8l3JxPebSyLyTERW8EC+qumtlgzzw0s88GpwbPYGgwjw08Lo8z5cJPTpqd7udpLE8mY+rvOIqLbr/cYE7Y/Ddu9Osj7xEHig8g3a9PNM/pbwIBR48QHYMPVLGyrySqIQ7lKDQPN6ovLz9wbE71qRbvHcRAL3sBIk8SOzuO3MiJT1O+IO8TEi0PO/Wqbz3bSC8t/T2O6G5t7y4FQs84A3zPCLsUrwWQFY8fPyAuzlIJjvl1iK7j48kvYLnAb1aN5Y83EOGvKJpBzwJlNk6FGpbPPAZjztAdgw9qXbZuyCHnDvWWAU9Uwmwu4hhvjzsBAm9tAAFPcBlQjxizgw9134wPPZQZrtOixm9crU6PT5ZUj2x56Q8RERTPAZ7eTt0izU8lA07vIJ6lztddiE8m/ThPGQ3HTwgh5y7aEwjvK2LX7xOsUS8e7mbO8cmvjka6PG74lBYPJ5UgToUats8VHJAvBRq2ztSWeA88YIfPGd2KL2Ncmq72gAhO8rSMzyEBfk5gDeyO74i3TuYtVa8FbEaPRxyFjxd4ws8kzfAvJqLUb1mwv45Epi6u5z0YTzD64y8ZKQHvYx2RDyi/Jy8UTePvDrX4bs89Ju8IPSGvKFMzTyiaYe87Cq0PM2g+ry1aZW87W2ZvFwvYrrogpi5s72fvNu5YbxaXUG8gucBu3Lb5TxeTJy8u+ervECctzzpEdQ8tSJWvL25zDtFrWM7zTdqPFiHxryquT49fhp4PCQJjTyxDdA8EwWlO0/0qTq841G8VQF8PGbjkrwFf9O7AJgsvHG5FD1wCcU5jkw/vRYaqzwnRD681qTbPE3XbzxdnMy56ViTvEtMjrzIImQ8w+sMu3eklbzLgoM8cUwqvXDjmTwh8Cy7OUimOxeDuz3YLgA8Q0itvLtUFj2Wdks8aSKevH/0TLxQFns8rjsvPEIB7rxrGmq8vkxiuiD0BjxDIoI8E0iKPFN2GrwH6GO9B5yNO4/b+jg52zu8AZB4O+l+vrznPzO8sBEqvVMJsLsnamm8gcbtu/IRW71xBWs85AAoPR+tRz332oo8RETTOGTKMjw1xjU7KhZfuye1gjuH+K28NX/2vMth77nWWIW8LnIkOxFR+zqEcmO8dGWKPbVpFTyai1G7wc7SO8j8uDqGsW41Fq1AvOp65LxVbmY8qXbZvEkvVLt54yC7zTdqvAwaJDyOTD89QZhdPD8zJzxbxtG8F6nmvOrrKDy4FYs818GVvD1drLyx5yQ8AJisO7vBgDwjLzi8aG70PIf4LThQFnu8vblMu6FMTbyx56S7FbGaPI3f1LxI7O48TxpVu9SoNb3baTG9CAUevDpETDzZKqa8vbnMOzP0FDxrZYM8ihEOvPaTS7xXiyC8Vx62O6cNyTleBd079FTAPHh6EDw98MG7Ilm9uxUeBb1FrWM8NMoPO8yk1Dw+yhY8nTfHPOBYjDs9g1e8SnaTuxMFpbybO6G6K+zZvHRlijpIWdm8nMrcPPyk9ztBcrK8X0jCPOX8zTyTytU7mY8rvYg7kzy0kxq8T/SpvANAyLlQXbq8FNdFOUDCYjyai1E93oKRPIN2vTtLBU88xA3ePLc/EDu30iU6UBb7vM9UJLweHow86Df/OzhMgLs0XaW8vbnMuyScIrsyrdU7/i4cvHtMsby93/e7OrUQPBMBy7xVAfw8enJcPJ5UATzfEc26qFQIOykaObykZa28UF26vIyc77y6oGy836TiPN5h/bxNIgm8gwlTvKjnHb1Ei5K8I8anO4/b+jwcJ/07tz8QvfQulTsjws08+dJWvSmtzrwkCY27T/QpuW1dz7w5Aec8p6DeO7hh4TpYh8Y7jrkpu01E2rymN069HrEhvHEFazw6tRC5m2FMO1PjhDzpWBO8fmWRvHBQBL3Pl4k8XphyPPHvibtpSMk7SKCYukZhjTqYkwW9YNd9vQGQ+Lxizow8t9KlvBT98Lws6H86iw20u3Hfv7xM28m7nMpcvKJIc7zWpNu8NaCKvJKoBL1BcrK8XQk3POrBozxCAW48NBZmPJD4NL3Y4+Y7TEg0vP9xgbsknKK8/i6cvEy1nrwU/fA7MxbmuxrocTyOTD88HAFSuvuCJjxaNxa7ScJpPaP4wrpKCam75xmIPKVh0zuPj6Q8I1VjuyFdlzsXXRC92Somvcllybtmdqi7TG7fO/PFhDxSMzW8w36iPFIzNbx4epA6X9vXOpFlnzr775C8J/3+O5/jPDoyrdW7i6SjPGIa47uo5x29mWkAvdv8xryMnG88PV2sO0CcNz3QTHA8xwATPNptC73iUNi7AG6nOjBuyryPSGW8MxZmugZ7eb0K2xi8/BHivN0/LDzRbQS9pzP0PMwRP7waL7G8b3qJPH4a+Dv+m4a8X9+xu+QAKL3N65O7QXKyPI/8jjuIzig8+oaAPDUzoDzNek87tAAFPcvO2TyLep68C9e+u/faijynM/Q7zKTUuy8FOrp/YTc8IjMSvc+9NLzWWAW8Cb5ePGBEaDxleoK82yJyPK+oGbo6avc8WBrcvClA5LvnqMO7j0hlvN9+tzvFDV48fhp4vGODczyI9NO70QAaO9mXED2+AIy8Jd8HPVlhGzz1l6U8MG7KOwytObrX50A8R8qdvMaXAr3g6yE8q7XkOQTwFzvaKqY7xioYOrEN0Lz2uXY7qyLPOzcr7Lzuab88CZTZOoQFeTtT4wQ9GTOLu6lQLjxj8N07ViKQPDxhBj05SCa82pO2O+l+vryOuam8kItKOzz0G70kCY28u1QWvFo3lrwc34C8eKA7PYnOKL3r4/S7lr0KvYnwebwyGsC74yZTPNoAIb2/j8e81+dAOyRVYzzDpE27H2riu45yajzPKp+6RR4ovcV27jqyCfa8++8QvOlYk7zcZde8gBGHPBIrULwOgzQ8SQ0DvbEN0DubZSa8FP3wvEUeKD20k5q8oiLIvF6Ycjyhkww8zU0WPHxXzDxChP+8Kk0JPC3LqLxwyvk5yP+7u5ZgRjyTVSU813vjuxPCLj1q2du8fH65vBfY8DzNyWw9sE10PGAejTt85hY90qaRvFDQ4TxQOL+7yP87PFtB6LxSj3E8z+eBvcwBBT0q5as8VK2GPGwclT0C+Cy8NS/FunZmLr2hxis8A9OIOvwGjzrhsYM8AZBPvdLyIr28QiS8JLFUvftSoDtLnlO9uKg4vF605ryTxtq7dwnyuw6Z+DzIJOC8r45kO+1HLj0Da6u80j60PFoGgrtxpVU9JLFUvX5i7bxs5Hy9k159PDGxpTuRB0u89ENtPf3qwjzrbNK8CfTrvJ0swDvRImi8QMVvPBUZYT2N1by8OYhAvIW9MT3zx5Y9tJtOvX/xNzsrfU69iDCwPLobtzvWvFO7kZYVvVzFkbyCI8Y7F0DOvMU1C703osO7wsvkvJNefbsaCv+84wi2OxU1rTyjYJe8yZdePWJ1v7sWEAm9JYywvIpXHT3mhlW9OWFTuxu1FTz7W/i5ZOi9OrrPpT1dOJC8Ggr/vGjqBryF4lU9wucwPaWHhLpSOgg7t1EGvbeBy7yh9vC9fO9uPOsEdbx/If08HtwCuzIkJD14CfI64f0UPTA+p7xmW7w7hqHlPLPn37yzTz08fg0EvGGa4zoLXpK8rhIOPQmfArz2Hkk7vmkRPZMJFD0UpmK8HAEnPJG7uby0A6y8KxVxPA/A5byQ1wW7xf3yvKp4Ij1MNnY7yNhOvQmfgryFVdS8VwQ5PBsKfz00lyI94VJ+PFM6iL0BrJu82HKLvGfOujxKd2a8IA4ROwza6DzWl68730fdvEVWAzx6tIi8jD0aPJmuILyqeCK9OYhAPWxDgjv2tuu8EedSPaNES7u7zyW88C0rvXGlVbwZ9oW7vHLpvPfd2Dyen745oxQGvCgmHLqtZ3e72Md0vVXBfzys6yC7pgNbPX+lJj3yOEw69ynqvJNe/TwwPqc8RKIUvaMd3jz7kxA8dD/BPLfpqDvPy7W7gUhqPGACQbx8V8w8hQlDvbNPPT2i7Rg95HCTPPAR3zwBYIo8GbNMPR3ANj1t2yS8QoT/PJUwAT1gc/Y8Lkd/PVecWzswGQO9LDxePWXMcb0vpoQ8cjQgO1Ughb2+mVa813tjPKGhBzyodtm8En91PYt+CryLrs88MG7suyHyxLzdFxg96WGxu83AlLoSTzC9pR+nPCW89TsKNyU9oBI9vUeRab3uuiy9awBJvF/bUzzbYeA7iBTkvJWFarxB7Nw8vyihuhmzTD3HjD07TRHSvKw3srya1Q09C/Y0vMsmqb0bcty85OzpPBlClz24EJa8C16SPdg6czy6g5S9omlvPIOLIzwGNdy8G024PFT5l7zI2M47UBObPKP4Obyu9sG8xD7jOzn5db1jWfM7cXUQvDmIwDysNzI8BSo7u6H28Ly1dqo8OyDjPG+2gL36w9W8wAxVvJDXhTxnNpi7Z6fNPHhBCjwNaTM8UPdOPc5YN7wySUi9W435PAnEpryhOSq8pERLPW/mRbzbrfE8KwyZvCaXUbtw8WY8HzO1O2jqhrww1km8kUqEPGAn5bxVIAU8u88lPZNefTxVKd08FKZiPVtB6LvCy2Q9S24OPEkE6Lwv8hU8eCU+vKI5qjxosm47rkLTvB2k6jxvMtc7VSCFvdMZED2c4C68YHN2u7xyabw3MQ68af5/O0CgS71nNhg9iledvK5en7yH7fa8fqUmvCOBD7ueBxw8qVG1vFt5AL0ZZzs8rOugPH8h/bxH+ca8R2GkPKhtAbx/Pck8NcdnvJzgrrtnP3C8hQlDvN+KFr1+ykq8H5uSPJVgxjku+2297SIKPbobNz1uC2o8awDJPDj59bzSWgC9zZknvXzvbjo0E3k8OaQMPQkshD1vtoA9Weo1vb9pEbxHILQ8U2pNPJ434bwBrBs8Ql/buwA5HbqW+Og84wi2PLamb7iZ3uU8WTbHPAIo8rw7R1C8KHKtOwH4LL1/8Tc9e3MYvaREy7tEhkg99TqVvPSP/jwYGyq9buZFuzitZDwyvEY7sUScvBmOqDyOsJg80xmQvE1dY72hoYe9XWjVPKNgl7xQExu9ddfjOsb0mj2mm308yBsIuqXcbT1w8WY8xIp0vJUwAb3hsQO9aakWPQkQOL1Yw0i76B54vYxGcr0B+Cy4fOaWvEOr7DyAZDa94yQCOzGxJTzo+VM9ZIDgvFffFD3kJAI9XYShvOsEdb0VzU+81YwOO1ATG72H7XY9zlg3PYP+ITw4MY49tlpevcTCDDyFcaA8giPGu+RUxzzo0uY7nXhRvU0tHr2/aRE8AqwbvR8zNbwnZ4y8qG0BPMmX3jxaNkc7jK5PveaG1TxHkWm9hxRku2G2LzxpqRa8Xo9CO+FJJr14jRu9ww4ePHayv71HRVg8hb0xPV73n7t3lnM9R/nGvIzxiDyFCUO9h+32POQ4ezxuc0c9FlwaPDkVQj3n7rK6T+wtvRzl2rs3vg89zzOTvGKRC72qLJE88oTdO/GgqbrBWOY8buZFuyMZMj1y6A48PYoJPbUqGTxhtq87iodiO8IzQr1lzHG9g29XvYpXnTy2Wl68cHUQvXsnhzkZ9oW72jEbu05Ui7whpjM82zGbvB3cgjynwmq8bdukvE/srTxq2ds888cWvFnOaTuF4tU8cugOPFRFKbon4+K7tSoZvE15L73FNQu8TxxzvIHzgDyRn228OcmwPN77SzuB84A7KTG9PDnU0bshprM7xqgJvTlh07sjZcO7zzMTPRMqDD2GoWU9HGmEPH6lJjwC3OA8y77LvK6qsLwPkCA8ALXzvEB53rsd3II85ZeAO9NlIT1K30O8RmEkuheoq7unwmq83NRePJJ6yTtsHBU9XYQhvO0iCrz41AA9+NQAPTsXCz0ff8Y6XF20vJUwAT0NHSK7caVVPdykmbxJUHm9IVoivb3axjyFvbG888cWPXsLO7wm/y69fz3JvDj59Ty3gcs8WTbHvJLiprxm8968rZ+PPamdxrxcjfk7XdAyPRB0VDvBWOa8iDAwvUMTyjxNeS+9avUnPapRNbx/WRW93NTeO/oPZ7xALU29MGUUvRdAzjwdMey6IxmyPNhWP7h4cc+8f6UmurpnyLzkJAK8XkMxO2/mRTxUrQY9kCMXPFt5gDyNbd+8QHCGO2LdHLzzewU8H08BvWxMWryRSgS9i67PPHB1EL1beYC7URMbvMQOHr0VNa08UKu9vAYFFzx5TCs9iYfiOsSK9LxpqZa8NzEOvCW89TvW/wy90loAPX0yKLzzEyg8Swaxu4RKM7wlcOQ7UNDhPA8oQ7ux+Aq8aV0FvAS3PDxgah67KaLyuWxMWjxKR6G7/anSvP/sC70PKEO84IqWvFlb67oJn4K7oarfPI6wGD0k2EG8JSTTPCVw5LiDB/o7afWnu12EoTwwIls9FhAJvVETG7wNTWc8TuGMPNMZkD1lD6s34pW3O97LBjvU4fe802UhvHIYVLwX9Dw81YwOPHb+0Dw5pAy9ZxrMuleTA7yF4tU89h7Ju6bTlbyreKI8j0g7PClW4TubIR872Md0PLrPpbtBOO485C8jPeLhSL1F7iW8E3YdPA/A5TxBVDo8+t8hO1z11js3okO9yNhOPHzmFrxI1CI9nAXTvDFJSDxhTtI8pk9svAaduTwrDBk9tDNxvGg2GDtRQ2C9j0g7vLidF7z9qdK87+GZvadGFL1Qxwm9OWFTO7obt7zFseG8NRP5vKbTFTtLBjE9KCYcO4RKMzzcpJm8HDFsPL/l5zxZ6jW8R0XYvPd1ezz0xxa7nZSdvLedl7xeHEQ8jD2aPN/WJzyjrCi9xrHhu5EjFz39XcG8MgjYPJUwgbwm/y68X49CPcmzKrvskz88FlwaOsVl0Ltp/n+9uoOUPCGms7xt2yQ9xD7jO4h8QTwTKgw9mB9WvVPSqrwy2BI9jD2aO3UaHbx/Pcm8Ofl1vL5pEb1uc0c8ZYBgvP9BdTxWuCe9GBuqvALTiDxSHry7TJ5TvKsQRby/dDI8/OpCu/ggkjwviji9ox3eu+busjxmdwi99mrau6i5EjrTZSE7AijyvHVmLjv/7Is8fOaWOk7srTvIJOC8kwkUPQV2zLzKvks8SXfmOgz2tLj2alq8xWXQOx+bkrtlUBu7zE2WPJZgRjwJxKa6isobvfa2aztMNva8UY/xullb67u36Sg7FOkbPNI+tDz5UFe8ftVrvEQ6N7ytz9S99I/+PEsGMb3U/cO8sbXRO1R17jxEohS9K1gqPM88a7xgHo281v+MPEfUojxoNpg8G75tPLbCOz3bMZs822FgPCYv9LwcmUm9giPGO4UJQ7xXdzc8xD7jvP9B9byImA29vgE0vKH28Lr/OJ28+ATGPBaoK72deNE77SKKPAxCxrwEkpg7/vVjPFypRb3QF0e8lUR6PIt+ijxj3Rw939anOpquoDxiKa48iHzBvHENszvMAYU8R0XYvBXpmzymm308tXYqvNgKLj0Sf/U8TJ5TPBzl2ry1Khm8c1sNPR/no7w7ry28XF20u/2CZbw7Fwu92AquvIkLDLyYa2e8M9iSvKEuibpHRdi8ZxrMvN0g8DsrWCq8iQsMvJ1IjLwXQE49yuPvuwKsG72zTz28sE30O/RD7TyVfJK8lKE2vStYKjzOWLc7bdskPZEjl7zvlQi7K8CHO4tGcjvqPI08L6aEO0yeUzzWvNM7z+cBvcLLZDsl9A28fH65vDAZAz1Yp3y8goujvNrlibuMRnI8AUQ+vLdRBj3rBHU854bVu++ViLwDHxo9Yt2cvKw3MjzQy7U6N6JDu8wBhTvhlTe8RO6lPBBEDzySEmy8vY61PKAuiT39qdI8g7tovGeCqbx7V8w4taZvu/p3xDzqPA28nFHkOip9zjyLFq28np++PJMJFLtsQ4K8TqAcvF60Zrvr1K+6CCwEvQbpyjy8qgG9CxvZvCX0Db1IIDQ6QHnevMrj77wIXEk8ZncIPc8zEz2UvYK8TlSLvJPG2ruCb1e7Uh48vNPh9zoBYAo9in4KPZFKhLtXD1o8Uo9xPFlb6zzkvKS8DPa0vF04kDxikYu8jpTMPNp9LDyWYMY7tE+9vCmZGr1kNE88oTkqvZUUtbxAvBe48C2ruxwxbLxt26Q8WMNIPej507xSAvA85Ag2PcSKdLzDpsC7UDi/PDkVwjycBdM8hS7nPCeznbpP7K08v+VnPa+qsLvyOEy8f1kVvIHMkzxTHrw8KVbhPPb5pDwU8vM75Dh7PK6qsLwwGYM7EpvBu4whzrzXx/Q875WIPMGbH73BTw48VmwWvH4NBL30hia7Ggr/PO8tq7xstDe5t4HLPDJwtbzLcjq8TcXAvGNZc7xiKa48uozsPIVVVD3/HFE7eCW+O/9B9bxWbBa7OqQMu8dArLwcmUk8oaGHPKOQ3DtgTtI72zEbvA8owzvW40A8668Lvd5jKb0ufxc9CrP7vKUDWzo/4Ts8G75tPNB/JDyceNE85C+jOxtNuDwsiO88CCwEvCWMsDxAlSq9AwNOPE0tnjsvpoQ8G9q5u7bCu7sDH5q8h+32PASSGD333dg8N+7Uur32Ejx/IX08CHgVvBgbqjv5bCO8MiSkPBn2hTwzcLW7YB6NvCmZmrwILIQ75cdFPFcrJrxRQ2C8ews7vLhcJ7x87248dYtSvEUe6zy4xIQ7tDNxO8B0Mr1jKS68yiapOxhnuzxBVLo8sB0vPBgbqrtFHmu8+5MQPL6Z1jtCxzi8/+wLvfSryrxwWUQ8MD6nvKE5KjweKBS9mpLUvAqDtrwtFzq7JXBkvKcqyLofTwE7pdxtvLQDLDxb9da8CCwEPBbYcLyS4ia9Uh48vHSnHjwWXBo81rzTvCfairzqiJ6839anvJptMD0yJCS9o/i5vDCKuDz9guU8yr5LugyqIzzOPOs8X0OxuMSK9LwWEAk94VJ+u8Y1izyrEMU8vmmRPM+kSDtbeYC8b7aAPJttMDzll4C7K8lfO/yesTwwPic8tt6HvUCgSzwvIlu8/YLlPIrvPzwC+Ky6VN1LvCfairun+oI7pbfJuhLCrrwM9rQ8OyDjvBzlWrvEPmO7ocarO4Ijxj2U7Uc66oievKosET1+yko9/+yLu66qsLwJ65O6ALXzu+J567yKV528SSvVu9m+HDs7+z46fz3JPNSxsrzubpu9iu+/vGvQAzzG9Jq7gfzYulKP8bv1OpW7cVlEvaI5qryqNem7CRC4PJfTRL1f9588xvQaPYW9MT12Zi48PgZgOej50zwIeBU72+WJuu95vDy9qgE7OTyvvJ67ijyPLG+8IoGPOw8owzzRY9i862xSPTn59TtMntO7CrN7PHeWc7pKR6E8ixatOyAOkbvkOHs78F1wvHeW8zmVhWq8oxQGvIah5Tzd1F49HXQlPKfetrt3jZu8RO6lvNVwwjwYz5g8yZfeO8oK3boRf/W7Ws7pO1upRTzfrzo7HVjZPMqOBrtxpVW8fyF9Oxhnu7xidT+8MLElPcIzwryIFOQ8ZVCbOxTpG7399eO8lRQ1vDqkDLwDA068ZVAbvFfo7Lrd8Co8V+hsvJDXhbuCi6O8zE0WPU5Uizs3CiE89I9+PFDHCTzhlTe8OqQMPLam77zC57A8b+ZFPIxiPrpcxZE8RR5rPIUljzvkOHu8MGWUvB4oFL3bYWC7kSOXvEattTsyJKS7zzOTPIrTczu8vvq8qp3GumrZ2zzt31A84UkmvaUfpzzRY1g6EiqMvLr0ybutZ/e8tioZOVMePLqmazg9k159vG3bpDvaFU88GWc7PAhcSTyztxq81+NAu0eIEbtGFRM8mNPEO1yN+TrMmSe8QMVvvJUUtbzer7o7YQLBvPLQbrzweTw7BlGovDJJyLxChP87ddfjPHlMKzuI5J68QVQ6PHPMQjwCKPK8/0H1vG+2AL3Gza27J9qKPLjEhLwIeBW8KZmavHwLu7zhLVq8QJUqOymZGj3y0G48K8AHvcsKXTtr0IM8aV0FvalRNb236Sg82n2sO3/xN7yobYE8aLJuPO4GvjzvlQg7St9DPJq5wbx5ABq9lUT6u3WLUjyqgXo79O6DOw3RkDz63yG8/anSvP7FnrxXKyY7AtOIPAmo2rz7Bo88epi8u4DMk7vFZVC82aJQvcU1C72CPxI8XrRmvEueU72tZ/e72XILvBN2nbw91po8UITQvLXeh7w3okO9Lq/cvDtH0LwtM4a8O0dQPPXugzzt39A8Ax8avM/wWb24EJY8RWp8PHBZRDywHa+8Z+qGu0p35rstY8s8FqgruyRAHzt4vWC6afWnOymicjz5BMa7Pm49Pa2DQ7nBWGa8eAnyPACFLjzwLau6OH0fOVrO6Txgah69uFwnvZzgLrsuR/+7QnunPCi+vrlHiJG8NwqhPMLnsLxqJe065hNXvDnwnbsC3OC8o6yoPCf/rjzZcou7Ew7APN0XGLwIXEm9YbavvJxR5Lj5UNc8g7vou3yahTyZRsM7sfiKOqW3ybzO8Fm85cfFO8lLzbwvpoQ7z8s1vIv6YL1HYSQ7td6HvGTMcTymm/285cdFPL+Z1rwaCv+8aV2FPHHx5js2vo+8bJhrvFMCcLwc5Vo8QbyXPELs3LnpYbE7Q6vsPE1d4zxwwaG6FTWtPJFKhDz5nGi8zvBZvA3RkDy6z6U7jmQHvErfw7u3gUs8W/XWvPrfobyjrCi895FHvAIo8jvXly+8QhNKuvwGjzt/If085OMRvayoZ7xsjxO92DpzvBxpBLzxoKm7v+VnvAY1XDyFcSA8u88lPJV8kj0dWNm8oHqaPI8s77s5PK88crD2ui0zhjzWcEI8JuPiOj3WGr0lcGQ8bOT8umAejTzWvNO795HHO72ONbwzCFi8y3K6u++VCDpo6oY8oBK9PEVWg7yTXv08C2dqvHXOizy52H286yDBPHy/qTy4NTq8DI5XvM6kyLzuUk8722Fgu6cqyLxFavw78oRdulxdtLyOsJi8FqgrPfAtK71WUEq8ZQ+rvEG8l7x6J4e8dPOvPO0iCr2vQlO8H0+BO2LBUDmGCUO76UXlO8X9cjwPKEO85jpEvdLWVjtDE0q95qIhvEVq/LwdWNm8fyF9Oxr2BTrFZdA8r/ZBveY6RLwiWqK7bEMCvc3J7DwrDJm7WQaCvFSthjzhlbc8t3mGvPSfYzyRGTa91PR3PNWAUbtToRK8pVpYvGpFvzxM7K28PpqDPLrtQD1+6Ve8EZ2BvLM4XDxBYIQ9yz9/vIWNDLy3J8A8BgpVvEyaZz3+CZm7CxGAOzsOFr3UuuQ8UmB8vWQcND1DYJi8SSYtPUbDoj1eykU7/s8FvMW6AL1cLSg8QKvHvNNvITya9xG83NJTvS+TnLzOqQy8vFDLvMWizbs2Hx69MkHqu1h417zWDD+8AQotO+bB3zwaY6q8DzN0vKi9Yj29opG8nTE5PGJ/lrxTBIk87vGBvUzsLb30Alq9DEsTPRfo7Lvmdhw8pfdhPdf7jjxNTyS9tyfAvMJopjx1XcK8hwFHvFKyQj1kkNq8BgpVvI1kZT0GRGg9giqCvTkfMrw65TK9SuwZPRidKTxZkIq7QWCEujWkdLz3tyo8d27yvKog7bxTBIm8lxlevITpf7yHnlC81/sOPUCrRzxzRXs8YWdjPcZ56js+1Ba98lQMvfGw/zz1txa96xPOvEnDNjzCBbA8uWHnPPRUoD1BvHe9xQXEvBWdFbwUv3U9ZMrtuoXwgryWlAe9/WwPvZ/3Obw2k8S9y8vYPKissjz1fQM9AKe2vFs+WD23/ly5Bn57uwkiHLw2H548FDofO8DcuLxhofY7WfMAvA75YLpKcXC8JkEaPTKCgLxhofY8rYN3PLD+ND0adFq7gUziueY8Cb0R6MS8fwGLOwkzzLw4B388pSBFPGd/Pj1Bq0e7q/6MvDX2OrvR0gO7lzEROyZ7LT1nbg49XmfPu3Pph71l4iC88TzZO2TzUDy/aJK80bpQO0PDDjz4yFo6A+HdvHCoXTwOv0297AKePCCd5bwgAFy8c0V7PI0Zojx+2Ce9JnstPfXIxrxSoRK6U6ESvS/2krtvXRq9JkEavYdkPT3OLuM8R3HcvAHQGT3fNV48fDuKvetllDzDFmC82B1vPCTeDz3isJs7mQhCvaRyCz34VLQ8z+MfvQZcmzywYas8n0L9PPFUDDwIlsK6He+XPAzQ6btS7FW7bfoPvTjlHj1hVrM85jwJPYoZjjxYsuo8v8uIPRcR0DsqzYe8OOUePQ6/TTwVAAw9gioCPXvpQ7y5s6288vGVPai9Yr29xHE8toq2PCekEL3uTfW74sFLPPXxqTzL4wu9W2e7PadJvLwye308jt8OvBGFzrvDork8OAd/O0E3IbwyQWq9pIO7PPRl0LsDlho9vwWcvOh2sL1hofa8UgQJPFmQCj2XGV48UuzVu4GGdbxADr48AxtxO870Tzw3DgI9y/Q7vJFCGbyf5gk9kMfvvHL6t72cIIm8cvq3PJTOhj1n4rS8cwtoPeCHJDzIomG9Z26Oug3QabycIAm9nL0SPXtMOrzsZRQ74jVyPLYWkLsREai7iCqqPJaUB73xtwI8n+aJukQmBTxfVp88dZfVPHLApLvWmBg9IXsFPdQ1jr04HzK9tP5IvXhdVj3SRqo8WGenPCmkJDvWmJg8PoJQPZr3kbxv0UC9L1kJPTj2zrsJhRK63wz7PAYKVbwzQeo8fyNrvEAOvjtP/XE8uifUPLOzBbtqlwW7cjTLPBhjlrsstWi7bZcZPXuegLzFugA9HXRuPXhMpju6m3o9yC67u7yzwbwye308DEsTvf2mIjwXYxY86U1NO4gqqjwk3g+81UY+vejq1jynm4K8wKKlPNk1tryx/rS8ADOQPMMW4LywrG49ihkOvNG6ULxcyrG8bahJvH5d/juWQkE8vz8vvLBhK7zDP0M7O0gpPcB5wrxhZ+O7yFeeu++OC7uZWog8L2o5vMjLxDtnC5i8L6TMO1y5Ab01pHS8RjfJPLzcJLu2s5m7KhhLPCmkJD17+nM8OnEMPfJUDL0AM5C8i3wEvRspF7zvjos8OR+yPOzZOj0adFo9ooMnvafmRbxcyjE9STddPOBNEb2Qjdw7ESLYu9n7Irx4l+k8p4PPPNkMU7uKtpc8sThIPMwdH71kf6q6IIy1vBEiWL2/J/w8e68wvchXHrzvAjI9A1yHvL2ikTxfLTy93SQaPFYEnbxENzU8OLy7vGpW7zz4QwQ9MBhzvJlrOL1DYJi9n+YJPfW3Fr0sk4g8ULIuO78FnD2o93U8Qw5SvHMjGz0I6Ag9lxneO8guu7xfPuy8z+MfPQMb8bxST8w8w5GJvXuvsLwMCv07alZvvO4rFT1T7NW8HmM+u5/mCTtZ84A96bBDvUrsmTx+ZIG8bdGsO0z9Xb0O+eC738E3vDVqYb0Gp948vz8vPa3+IDwFli49qA8pvSAYj7w9caC8O0ipPG3i3DwREag7Xnh/vcwuT73pZQA9f54Uve+Oi7zU0pc8zqmMPCdBmjsXACC7kPBSvQ5cVzzxZTy9hWQpOlnKnTwOXNe8eyPXPMuRRbxi4gy9UwSJuwQzpL2och899I4zPXjATDovWQk9lpQHvScpZzx26Ru9CdDVPOw8MTx1NF89k1PdPFkEMT1WPjA83DXKvADyebxQeBs94hMSvAkiHL1B/Q08WOz9u9KR7bjTmIQ8qtUpPZl8aD0mQRq9mvcRPT3UFrr9VFw8pdWBO3DAEL3DkYm9dZdVvYoqvryig6e8O4I8vLBhK7yCnig6Wz7YvGcteLyq5tk8TBWROls+WDw6Dha8jlO1vOJNpTxYeNc8toq2vCxqpTteBNk8ODDiO1XbuTy2FpC8ms6uvJ1rzLywmz687wIyvVWJczwYKQO9kLa/PAi/pTzaRuY6DhGUOzX2uriwmz687OrqvNkMUzx4XVa6Gkt3PJwgiTxSYHw9Ks0HPVWhpjtBcTQ9hfACvQwRAL2qmxa63zXevM6pjLwgjLU8BOFdO0mJIz0Mrgm9LJMIOgP5ELwvWYm8746LPGTioLxP2xE9eyPXu200o7ucCNY8KmoRPbon1DwkUja7ZJDavCy16DxPicu7jt8OPUSaKzutSeS8CIUSvTYfHjuCnii9OqsfPVLsVbzLRgK9y/Q7vTWClDv6fSs9TIm3uz4f2rzR0oO72dI/PRV0srzTDKs8pUkoPeufpztZLZS8DBGAvY5CBT0MIjC9GtfQPP230rplfyq9wqI5PNRGPrwP6DC9/Y5vvJ/OVj31fYM8MPaSPIt8hLsXrtk7s/5IPOOHOLyNUzW8uZv6OwjoiLqlzn48N6uLOzsOFj03SBW9Nh8ePB4pK7ytSWS8OnEMvc+AqTrLBWy8i/AqPJ8gHb01WbG7eV1WOxc6M71T2yU8k2sQvWZujjyxYSs9zIAVPL8n/LyTQi29L0FWvP2Ob7sjjMm8OLy7PAMKwbyxcts8rTi0vANch7zM9Ls8og8BPV6QMruig6e86yR+uyykODxQT7i84xMSPYe2gzuNtiu6TMPKuzIH17xB1Cq8TBURvLOzhbxsNCO76WWAO8IWYD0hewW9BBtxPA+unTote9U71piYPDpxDD1nVls9mjElvfrxUbwUEbw74vvePIrwqj1M7K28utwQPC9BVjyi5h29HYyhvIjYY7wI+Tg7wqI5O/7PBbwL+Uy873ZYPFYEnbzAeUI8q5sWvDcOgrsnGLc638E3PKg4DLzLP/87eMDMPDflnruucsc8AxvxPFuQHr1G/TW8ZUWXO6dJPDzd0lO7XBX1O8An/LrCojm98vEVPO+OC7zjdgg9vO3UOQyuiTwjAPA8wmgmvBrGID0mUko9rpuqvEfsBTyhvTq9qiDtuzAY87z0t5a8O0ipvVPs1bzaXhm92iSGOU0VEb1qqDW8VYlzvNapyLytSeQ8EteUvL1QS7t46a+8JlLKPDrlMj2BhnW8/s8FvQjoCD1ViXM7F8aMvNY1orziNfI46WUAPTXlijxMFZG8L95fvENgGD1hfxa9y5HFPNdeBTpz0dS8VRVNPdnSP7s75TK8tMQ1PF8E2brCaCa9CYWSPKGsirxnLfg81Km0PEYO5rlc8xQ82EbSvL9okrxeeP88945HPCpqETvsK4G83TVKvCaMXb1JsgY8nfelvOiwQzwBG128zpHZuxidqTyBx4s7yMtEu5yUr7wJbd878ispPJ9JALtTBAm9XBV1vDAY8zzi6q68Teytu4dkPTwvWQm8DK4JvdBvjTu8il48PXEgPJeUh7s4zeu8DZbWPFwtqLyqSVC8AG2jOyykOLuBEk+8QYLkPIESz7vv2U68J0EaPL8n/DvoAgq8qJsCvUK8d7wVAAy9AlwHOwyuibw1WbE7hMcfOYGvWDz7GrW8hK9svFu5Abv1K729WfOAPJnfXryorLK8m72SvGd/vjzJ9Ke8RHFIO3BuyrtnLfi8APJ5uyzv+zwSlv48Zm6OO0pPED2eSYA8ooOnPC0wEr1KTxC9L1kJPD5Zbbw7vE88cOJwvAF+07xzIxu8XC2ouwbQQTobdNq8JHuZPBrvA71SBIk6e+nDPOJeVb1ql4U6edH8O4pkUb0ykzC7O1nZPGG5KT04B/88DEsTOcmAgTxeBFk5QEjRuxqdPTqTQq07IwBwvA5c1zy0UI88UibpvJGlDz1HiQ89vLPBPECrx7sLrok7BDMkPZ0xObx50fw6fDuKO2fz5DrXXgW9ZMrtvJbOGrs+gtC8pziMuiR7GTyNUzU7bF0GvSBj0ju3ijY8/kOsORpjKrwjexk9IxijvHDicL2Enjy84sHLPMXc4DyTCBq8wtxMvRTo2Dy2UCO8W5AePcv0uzvoAgq8+qYOPEfUUrxwXZo8/aYiOzDNrzxlRZc8CafyvNT0d7rF3OC8+H0XvZlaCD2fQn28hxL3u78FnLzFs328FwCguly5AT0b7wO8/kOsvDiri7mfMc08k0KtvFMmaTz7K2W81m+1OxW/dTpvXRq8AG0jPLzE8TuNnvi80h1HPM5odj3xsH884hOSvFXbubxEN7U80ZHtOj1xoDzZXpk7Vj4wvGZujjyR3yK8hxL3PH8jazxDYJi8JmP6vOWwr7x5dYk8DEsTvUNgmDud96W8FQCMvE8+CL0g1/i81EY+vE8+CL0Jp/I7rmEXPbeKNj3syIq8aAsYvfG3AjyiD4G8z/TPvLyK3jhsXQY9FBG8PNpGZrgvGPM6INd4OyCd5TxDDlK9jZ54vNapSDxnf768XKHOPLxQSzxyNMs8v3lCvewrAb3Jy0S8t8TJvHAL1LwRXGu8jWRlusIFMLz0Go099MhGPfumjrxnRSs8RtTSPFY+sLzWqci5tv7cPM/0zzyxig46GHTGPB1SDjwjQYY8SXFwPYGGdbxc8xS8kMdvu0TUPjwyggA9Oc1rPBQRvDtDDtI8ZAuEPK2Dd7yO3467T/3xvL/t6Lt/I2s8aZeFPCp7Qb17+nM8UrLCvNcd77xPT7g7akU/Pdqp3LzWbzW8AQqtu5+Dk7z6K+W7ALjmvBS/9TsOv0081m81PCZjej1BguS8Uz4cPTvUAr2cpd+5ZFbHOxgpg7w3DgK79FQgPZZrpDwLSxM7HnTuuylBrjy8Frg8JHuZvBhjFr20xLU8Zy14vAAzkDxnLfg7TXgHO870T7rcwSM9GGOWO08VJTw+N40837AHO/3gNT0dOlu98lSMPFWJczw6DpY7Vds5OoqNtLoaS3e8mWs4PdOYhD17r7A8ZJDau8VXijsh7ys8Nfa6uUAOPrjmh0w8FxHQO2w0I7tASFG8W2c7PMtGAr2NU7U7ihkOPNGAvbyWa6S8cKjdu5NCrbyiSZQ8pYO7u387njwvWQk8DDNgPHgjQ72WpTe8L6RMvMjc9Dzab8k8BkRoPF54/7mum6q8L1kJPXRuXjyhIDG7LLXovKog7bwyvBM8T/1xvOI18jsjGCO92oB5vHnR/LvFBcS8CSKcvHPph7rMy1i8nr0mPG3RrDwjUra7/WwPPFhnJ73RkW28Rg5mvATQrTyx1dG6t1AjvW80t7zQb407XMqxvPF27DwVv3W8ve3UvN8M+zyWCC49D3QKvR61hDwGRGg7NUiBu+DqGrytrNo85V7puxpLdzziXtU8t3kGPDkH/7q83KS8llPxPMhozryuJ4S8iPCWO+wrAT2c3/K7wtzMvBLXFD3ORha9pQ8VPbyKXjyn5kW7+xq1vE8VpbzuAjI8Tz6IvMXc4LzsJH46razavJZCwbsv9pI7TxUlPJlruD3WbzU8pziMOjEfCj2NGaI8bF0GPOmfk7wGROg8Bn57O8uAFb3OLmO8+o5bu9/BtzyO3w47tFCPPCPvv7z6t769y0YCvUPlbjwaADS8gUxiO78nfLzDLhO8F+jsvAYiCL1tNKO8Z7nRO02JN70SrrE8wtxMPWVWRz25s608BDMkPA4RlDxqC6w86Dwdu/fgjTmeSYC8hSqWvENgGDzORpa82B3vuzBBVroYOjO8+rc+Pf3gtTynm4I8SbKGO+jq1rsnGLe6QKvHvMN5VryCOzK8bG42vGcteDytYZe8IGNSPLrE3TxQ/XE9maVLPA5LJzvisBu8fl1+vLzcpLjMHZ88ywVsO7GKjrycWpy7O6ufugsiMDubvRK8LLXoPN3SU7uNGaK8rUlkPLyzwbwX6Oy6cPqjPHZu8rvi+948WOz9u0bDIr36Qxi92TU2O1ktlLsYKYO8MBhzvOgTOruiSZQ8vaKRPAP5kLvMgBW8y7qoPI3wPjuN8L47k1NdPIo7brs79uK8alZvu4SNDL3MHZ87FZ2VPBgAoDw3SJU8NOWKOpCN3DjSRqq8Z1ZbvFiy6rzv8YE7yR2LvOwkfjzo6ta8wgUwPHCoXTwUEby8wgWwPBKdAT1+hmG7Ie8rvZSlIz23ijY8CFyvvEGCZDpD5e68C/lMvNIdRzy5YWc8y7qovLb+3Ltlym284vvePFlnJzswk5w5DEuTOxSF4jt4EhM8bDSjus5o9rtlym28zgyDvD3lxrvXNSI8FWOCvFiQiryi5h28UHgbuya1QL2umyo87vGBPLPENbvyt4K80dKDO8hozjulrJ68n4OTvIt8hLw/H1q8cOLwu1Z4w7wjQYa8hcefvDj2zry3eQa8PoJQu+Z2HD2HO9o77jzFvHVMEjs6DpY8MpOwvH8BC71hZ+M8gYZ1u89o9rxywCQ8GCmDPAhcrzwsk4i8noMTOw6Fury2J0C99BqNvIiNIDkXrlm83dJTuzKCgDzVgNG79J9jvEFgBL3aNTY8BiIIPZwxubkYKYM8SnHwu64nBDxbZ7u8PoJQvTerC7yBhnU7nfclvYpTIb2o1ZW76E1NvDX2OrwetYQ8fq/EvB1SDrwqzQe94OoavNTSF70JhRK8b5etOW/AEDyw1dE8TyZVOwkiHL1Y7H08cKhdPA6FujyTKnq8NWrhOdRGvrsXrlm8RJqruyYHhzopapE6HbUEPBW/dTz7fSs8KRhLPV9/gjzI3PS7DAr9O+Y8CTytJwQ6Dq4dPeaHTDxBguS8Gkv3vK4nhLwnpBC8WLLqPI22qztJ/cm8pw+pPNT097zCP0M8p4PPO+XqwrwwGPO8fobhPPQC2jx/AYu8mveRPAwisLxn82S9k6UjvKesMrx/I2s8llPxO/fI2jyt/iA8L1kJPCZSyrxE1L68fCNXvDsOFr1oqKE7AAotvKQgRb0KbV+8TybVvNLjszxG1NK8hdjPPMPLHLyFdVm8/hrJPKKUVzvLkcW706k0vBUADLu8BQg9eyPXPIi2gzyz7Zg8W5AePcI/wzx+r8S7wtzMPHBdmjyo1ZW76xPOu2ZuDjwanT08MJOcu3A0N7uOx1s86WUAvU8+iLxWeEO8EuhEOoSvbDsxHwo8XxyMPGVFlzt3bvI843YIvRI6i7xADr68KhjLu981XjpDq9s7ZLm9u1y5gTyuD9G5DzN0O19WHz3TqTS8GACgPNgd7ztnLfg8MAfDOzgHfzuXzpo819KrPMkuO7zd6ga6zPQ7urmzrTx1NF+7jZ54PGcteLqbvRI8O6ufvGioobzaRuY82ZisPF7zKLy97dQ8oM5WvFVnkzytD9E7fkxOO/umjjykD5W8NEiBvOBNkbzi6q46OJPYO/1UXLzr6mq7GsYgvNTSl7wbjA29ouYdPZPwZr0M6By7bbn5vJxanLzagHm8ERGoPFY+ML2ZpUu8qCBZvNUd2zsGli68OzB2uyQpUzwGbUs7z2j2vHhdVjx26Ru9cF2avKAxTbwDCsG8/X2/POKHuDtrqLU8GJ0pvTNqTbwhxki8sXLbu9QdWz3PgKm8ZLm9vDDNrzxv0UC6UKuiOl8duDuM2Ra97LH4vB9TJj3ybQC9cID2PNS+djyWWoO8v1pavDUpOz3Nhxm9hy3EvHaewTxJgB89kGV/u/NBvDsmfqk8Jfx7O7VL5jxbZQs90yO3PAAJ3bzvUJM8eeT1vBWmdT0oYhq9DRkvPWFzoT1McUi8GMPiu6giAr1ecsM8bC2KPPWXpTzNTh28yaLKu+PrNb2lvOM7eLsuu7MFsjtBDOu8H7VpvHUDAr2RdbQ8k7voO8EiPD2UdhK8j5HDO6LY8jzpwM+8UKuiPHn0qry2BpA7B9IcvXXzTL03xHq9mKA3PD9xKz0A0GC7rtsMPTdv77wIfRG9khD0vIJIdbsp1JK8rhSJPAR8szy1Ip+7CPvjuemXiD1qEB097YixvOGVzLw5Khm9mC6/OfHrUjxZD6I7eLuuPPAXF72kzBg7oZK+uwP9Ar3ipQG8zRWhvNYklb2mEs28ep8fPWSQDry8r+U8vMt0PSKZ2rydEw68EdFbvN5PGD2tvp+89CWtvdX3cjtQm+27H4yiO7fqgD1Rm229GFHquyn9WTu7oi09/evvO+fskzzNFSG8r3ZMvZqEKLy4TMS9rb6fu2uClTsiC9M8Q2LUPJ6Fhj1c85K8L5n3PEpkkLsucLA83k8Yuor1pTvgI1Q7ODZzvFqqYTyjIaQ7yoY7PaewCbzMo6g8YXOhPKJ2Lz03xPq89KN/vQrDxbyxWr28HdH4POGVzLz07LA7THFIvNE/Rj2taRQ7zYeZvOej4rtmSLu8aCwsvGpJGTzkXa47AULZOabphb3WFOC8UPB4PCc1+DpwR3o6BbWvO3s63zwa8AS9YWPsPD84rzwY/F68exGYvGTy0bx1utC6zU6dufpfhzw6xVi9FkSyPG0BRr2MO9q873lavX87vbxR1Om8YSpwvUnylzzdIvY8EKgUvd943zwmDDG8WQ+ivVnGcDqULeE7ep+fPAHEhj0AUo48pT6RveSWqjxYxnC8x/dVvVq6Fj0GUG88ZMkKPXiCMr1KjVe8PY26PB/Fnrv/XWg8WxxavRMnRT2GLUQ9oi3+PHBHej3YCIY88V1LPbsUJj3Z3ME6dizJPHbzTDz43dk7z2sKPTFhWbxgyCy9/FAwPVJWl7wmmji771ATPXSRCbzM3KQ8pT6ROyDu5TwAbh29f5DIPZWvjryPyj89Dgl6PEiMebxLjdc7dIHUPCp/hzyaO/e8LSf/PKLoJ7w21K89aPMvvO95Wr19c9u8GuBPOgB7VT1G8Tk8YH/7u2OQDr1UOgg96xY5vcr4szyoS8m86fnLvI4fy7xFRkU9LnAwvYwSk721Ih+870DeuyhiGj0IRJW7BbUvOx4aKjyqEyu9nQNZvLfaS7veFhy9KcTdueKyOTxWR8C8MmHZO+dBn7zXTVw78V1LPfBA3jrfiJQ8Hgp1PIVZCDxsVlE8nQNZPKj2vTrE2mg92L/UPGi6M70mNfi87qUevbW9Xj159Co93yPUO2oQnbztM6Y80N2CPUDT7rzp0AS9bC2KPDC2ZLvoXgy9OPEcPX5XTDyfhYY8a7uRvH87vbuIEbU8k8sdPRF8ULz4Qpq8LFPDPIa7SzsZ0xe93s1qPXpW7rsuqaw8G8RAPGpJGbyDLGY8zYcZvdv5Lr0H++M8jUuPu9ddkbtw5bY84qWBvMWxobwU0jm8kAM8vQkoBj2LZx69wHfHPOvdvLsvGyU7GfzeO3lJtry36oA9Uo8TvYLz6bv/ppk8hSAMvA/taryo9j086flLvXgQurz0s7Q6SmSQPUKOGL3iQEG9JkWtO1YOxLuNSw89fS4FvVkPIjwwC3C9oi1+PJZaA73Rsb47DosnPNPqujy2aFO5FkQyvHa6UD242su8CH2RPDCNHb0wVKE7mjv3vN0yK7xCxxQ9WNYlPRNgwTz+snM9lLvovDkaZDxK4mI9hvTHO8ta97x5cv07ZWTKPA1Sq7vIoso8TapEPf3CqDzNPmg9BGx+uve0Er0kKMC8TRy9vGOA2byeTAo9EdHbu0bxubvVeSA8x/fVOlxV1ryWg0q91ECkPI/Kv7y8hp45lHaSvEz/z7tXgDw7TlW5u4Tnj722P4y92aNFPXUDArwkfcu7MwxOOtuwfT24TMS6vIaePHPmFD2OWEc8GymBvLW93rsimdq8klmlPABSjrzyNIQ6liGHvY2t0rzP6dy8ty/XPGWdRj061Q28gViqPBZEsrsQ4RA98s/DvMaVEj3wslY8c3QcvQRsfr1tn4K7ewHju94WnL0CtFE9wwatPBPuSL1/Z4G8Be6rvHnk9bzKvzc524c2PFa5ODyK9SU9J7elvQOYQr3Od+Q8QX7juivhSr3nJRC8zRUhPf3rbzz5mIM8rpJbveZq5jxkyQq7z1tVPIVZiDwhqQ+8prCJPGSAWbzThfq8507Xu9RApL12nsE9vjETPRl+DLyd2hE8fzs9vetrxDypaDa8lloDPcAFzzut52Y8QbdfPd/q1zw3xPo7Rri9u8LNsDwjfcs857OXu53aEb2y9fw8KGKau7c/DLzbhzY88MILPeZBHz2evoI7JjX4PLXNE71wV687Ce+JvPxAe70Oi6e9IkRPvNOFerzV2+O8p6BUvU+Otbzylsc8fR7QvBColLytaZQ8bGaGPOZqZjnT6jo8w5S0vBspATxbZYs8kdf3vE2qRDxG8bk8ix7tO+fsE7o21C+8c+YUveezl7yWWgO99tAhvfIIwDxZ/+w5WyyPOykNjzv/bZ26PY06vLUinzvph1O80N0CvBCoFDz++6S8Kn8HPU+3fDybH+g8nWgZPQOYQrsbKQE996RdvRF8ULx8AeM8EKiUu//7pLqJgy09g7rtOzsOCj2s5+a7Pu99PAHEBrszDE69RGJUPCxTQ7zupZ47cOU2PNYkFb0abtc88m0APWMeljxxufK7HagxvI29Bz1Bt188qaGyOyIbiLyBHy69dmVFvbb2WrzYz4m8179UO1tlCzqtMJg7507XvO9QkzwC/YI8OpwRvRuLRLoAUg488etSPeGlAb0v0nM82hW+PHJ0HDwqRgu82GrJvBbvJj00fsa8mWe7PGxmBr3ipYG8m+ZrPOfsE70pxF29liEHvRxSSDzm3F68s7AmPYoe7TzEeKW8A9G+Oydu9LtMcUg897SSuynEXTtkAoc8qWg2PLGTOT0xjZ28J7elPGxWUbzisjk8L0RsOn31iDqgWUK7BHyzPJ0DWbyNO1q7FjT9O1KPE71ynWM8oZK+vM535Lq06SI9Be6rOwGLCr2E19q8ibypPE+3fLxqx+u8VQ7EPLGTOTxwR3q8MWHZvCuoTrs3/XY7/9+VO1J/XrvxbYC8WMbwO7vL9DrkXa68JdO0PGNH3TtIR6O7C/zBui8bpbwFbH68YuUZvOBsBb0Zp1O8112RPDE4Ej0hYF66f5DIPL2v5bvrT7W7prCJPPD7hzzIMFI9r8vXvFzHTrxbLI88TlU5PMO9ez3NBey8xiMauo29h7kIRJW8ih7tujbEerylZ1i8OmMVvJe8xrt7yOa871ATPXrI5rm8BHE8+6U7vMZcljxfVrQ8q8r5O1KPEzxX4v87CzU+PRsZzDrx61I7rWmUPN3dH7ynoNS8dNbfu709bTxw5TY8OLgguzLT0bv5iM68Rri9u+5c7bxwV688KYvhO7iFQDzNFaE8vvgWulscWj0ymlU9WUgeuvcyZTwtJ3+94qWBvKV3jbySICm9PzivvVfyNLunhMW843k9vBFD1LtYnam8gyzmO/PPw7nbwDI9idg4POMkMrulBRW7vpNWPTs30TzpwM+7TA+FvKTMmDytkls8AFIOO2U7gzwQqJS8hVkIPIFYKj0+xja9MxwDvbWE4jwTYMG8bGaGO3sBYzyxWj28nkwKPTPjBjuMZ548zT7oPDf9drxzneO80KQGPFnWpbyd2hE9ahCdO6GSvjvXXZE8qPa9vNNcM73NzO88va/lO2MO4byzsCY8TarEvF1yQ723eAg9NpuzvFfifzxBDOu88ghAOzR+xjwpmxa8SmQQPBU0fTnM3KQ8u6ItPFpIHjzf6le8ufe4u6z3Gz0qRgu81XkgvK1ZXzzL6P67TePAuQ6LJzyw6MQ8xAatOjypyTyQPDi8emYjPbWUF7wOCfo7CmECPEwPhbyEZWI8OH+ku8r4M7xY1qU5dp5BO6sD9jgN4LK8Vg5EvMJbuLz+iay8EowFvaT1X7y+Id67TuNAvBBvGD0p1BK9Zkg7vO/emrz4T9K9WoGaPLUS6jsOCXq8o0prvFRzhLujr6u7lGZdPHqfH7ui2PK7+jPDPEIpWD07Doq8r02FuwaJ6zyNSw89bZ8CPUg3bjw08D69GrcIPKeExbynIoI8nOZruyn92bz8ULA89tChu/VeKTqNAt67Ov7UPDPjBr2ovUG6fKxXPIZJU72Ckaa8nq5NvL/cB70T7kg6mjv3PI0C3jwu/rc8ROSBu8UjGryxWr27YLh3vPv6xjxi5Zk8YMisvCrEXTyEZWI8fAHjvLHMtTyNvYc8WqrhPPxsP7zLv7e7ja3SPJP05Lwop3C8Kf1Zu3qParycWGS9XJ4HvTjhZzzB6T+85qPiueRdrjtqZai84yQyuH0e0Dsqb9I7GuBPvN2kIzxvrDo9QgARO9YUYL12utA7Ct9UPIIDHz0l/Ps7J7clvTr+1DuR1/e8rHVuPYYtRDvowM+6zvmRPLDoxLwU0rk8ZLnVPLvbqTyldw083VvyvKPYcrsqRou8smf1vD//sjy/k1Y8moSou/xsv7weGio8Mu9gPNVpaz0/xja7pIPnu1idqbwKw0U9cJCru74xEzzUzqu7Awq7PAYnKLxDcgm728AyPITnjzzgbAW9WNYlvNuHtjyKc3i8A5hCu5u9pLtU1cc83QbnOwfSnDvlhnU8cgIkvJv2oDzaFb68tNntO/D7hzvYasm8raKQvFU6iLw5YxW7t+oAPJqtbzxYjfS8Zp1GvHnk9bz0s7S7O3DNu5wvHTzm+G27AFKOPFlkrTwB7c27SYCfvDcNrLxeOUc8BmAkvVMq07tkuVU6oFnCOknylzuFgs88hi1EvHXKBT2O5k69GrcIve7eGrqKc/i8ei0nPLyGnjuKrHQ8EoyFvRColLz9wqi8SisUvGC497zV22O7EsWBvGuCFbsP7Wo8ndoRPXPmlLyyPi48Dgn6PJf1QryIOny8PsY2PBpu1zwKYYI8j8q/PBgoI7u1zZM8ub48PedBn7yZAvs6dK2YOtgIhjyf58k82/muPABSDjzO+ZE8ldjVPIm8qbycoZU8gzybvGFzobt8ShQ8Hwr1utYklTt4STY7r9uMOwImSr21Ih+8YTolPdxrJ73LWve8Q5tQOwh9kTsvRGy8scy1u5yhFb35wco7IhuIPL09bT3FsaG83hYcPfFtgLxEqwW8oyGku0hHI7xLnYy6iTp8O1a5ODm32su7WyyPOyjg7LsaGcw8jXRWvMR4Jb1IxfU8h/RHuyD+Gjs/YfY65F0uO3UDAjxAHCA9rwRUvHyDkDwNQvY7iJ88uwBSDjyXvEa9mC6/PGQCB7xbZYs8794avBcoozxG8bm8YmNsPBLuyDyArTU94+u1PJkSMLp1ygU7Q3KJvMUjmjwuxTs8mQL7PIm8qTyOH8s8ty9XPHUDgrzW2+M7dizJu5YhB73Xv1Q8wE6AvElHozqxzLU8UlYXPINl4jyErpM86fnLPFhU+LwgN5e8IkTPvJBlf7xagZo6PVS+vF6rPzuArbW87s7lPN/q17p8vIy8P3ErvTJhWb0Al+S6t7GEvHBXLzyehQa9dfNMvRKMBTwZw+I4CaZYvEV/QTs9jbq81TBvPKbpBT3vQF68zvmRPGYPv7ti1eS76tAEvE2qxLvlhvW7nJHgvJyhFb219tq8/iRsPBCoFD3Mk/O85jFqvauu6jytaRQ9bZ8CvVidqTnfsdu7OeFnuyO2xzsAQlk8hNfaPB02OTxhc6E8jUuPPL/MUjy6kni6hi3EO/cyZbwsU8O6ka4wPEmAHz33e5a7pukFvZF1ND1Cjpi87Hj8PAF7VTx6Vu46inP4vO3qdLzGhd08QVWcu8M/qby/FYQ7xvfVvGpJGTxQqyK783o4vBtSyD3Gzg67pS7cuyjg7Dwpi2E8PeLFvG7ISbzNzG88ROQBPfIkz7xWuTi8x4VdO/8IXTxwkCs7n3XRPLWUl7xru5G9Ae1NPDDGGbw/7/28H8WeuotX6bxPKXW7DVIrvVq6lrvf+gy9WrqWO712ab0a4E88yoa7PCfwIT2MO9o8dvNMvLwE8TxOVTm8Lid/O1yeh7zeP+O8d9c9vbswNbxKuZu8qPa9PDtwTbuPkcM70AZKPQ+LpzzlCKM8fNgbPa3nZrxxyae7Sqlmu6ag1LsH0hy6oi1+vNUw7zthcyG6OA0svF6rvzwhmVo9UKsiPQhElTtZDyK8RvG5vKTMmDzBIrw7BhfzuVEdm7r0QTw8zYeZPCO2xztCABE8v5PWPPbQITwTYEG8K6jOOwrDRTvtXO07SuJiPAphgjogYN48cYB2u7Zo07w8qUm9v8zSvCJET7w8R4a775XpvHTW3zsPtG48nC+dPIDmsbzoh1O7KGKaPKbZ0DlwgHY8O0eGujjh5zv0o/+8xlwWOx5vNb2N5s46XRCAvMh5Az2tMBg8fS4FO9E/Rrw+73286BXbu3Ees7tQcqa8/6YZPOzBrTyOLwC9w5S0PGTyUTzhpQG9F5qbPJZag7u/FQQ8YuUZvTxHBjyhkr67Rrg9vPSj/7tydBy8E2BBvHOdY7tmSLs8KQ2PPEhHo7wFtS87KxrHPAphAjvkXS68OmOVvI4vgLwQ/R88DzYcO2uCFTzLWne8CKbYvJzKXLubS6w7MI2du4M8G7yjg+e8KVLluubc3rwxOBI8InCTO+Fc0Dsq1BK8rOdmO/8IXbx99Qi9xlwWvJqEqLvPlNE7r8vXPBEaDb22BpC8/13ouwcLmbwl/Pu8efQqO0W4PT1FuD06acdruypGizvoh9M7J36pu4KRprwqRgs9DRmvPIoe7bx6HfI8X1Y0uyXTtDx4EDq85yWQOjDiKLzeTxi9kucsvCXTtLstN7Q8o4PnOicZ6Tym6YU7xHglu9/BEL199Qg80N0CPeAjVDvtI3E7EeEQvPUV+DtNHD073/oMvTfE+rtpnqQ8NsR6vPFtgLyQZf86KODsOj84r7nLMTA8r00FPHGAdro2xHq8UGLxvFXVRztZSJ688V3LOJ6+Aj2NSw88F2GfO8nbxrxFf0E9vqMLuz5UvjtoHPc7w717vEqNV7wSClg883o4O8BOgDxnurM7e2ajvLX22jwW7ya8GMNiPf/flTyZErC88W0AvJ0Tjjy/FYQ84nk9PaeExTsiRE+85jFqvZkC+7xngbe7GX4MPU5VuTwZ0xe9Y4DZPD2NurthOqW6o0prPNOF+rsmDLG7AJfkO3HJpzwx7+C8XNcDPf/P4LyFkgS9OBrkvBrwhLxxyae7FCfFu2CPMD1cAEu8h8sAPBKMBb04Day7Z9ZCPJBl/7zGzo68W/MSvO/eGr3C6b+4T7f8u2AduDws4cq8ibypPKW8Y7ytaRS8OmOVPKWTHDxdEAA8GAwUOkDjozzw69K7OmMVPULwWzwCtNG7zrBgPP40ITzipYE7YSrwPCmbFjzbsP27wAXPvIzJYTw4fyQ86mtEPNTOq7uS5yw7xeqdvFmN9LvW2+O7IplavJ481bt8vIy8lhFSPGOQjjtcVdY8bLsRvK+vyDut52Y8rfcbPO9QEzwiRE88PzgvvKUFFbwXmhu8GfzeOl7kuzyMkOW6awDoPI4vgLvYv9Q8n3VRvEDjI71e5Ds8jGeevJlnu7zClLQ637Hbu2FzobvfiBS8r8vXuWDIrLqxkzk88MKLOwGLCr206SI9ndqRO6yuarwMbjo8bfSNOpYhhzz3exa7akkZOhluVz3rFjk8NtQvvHYsybwbGUw8ISfivH3l07z1Xqk8Dgl6vInYuLwwjR28E7VMPT2NOr0GmaA73d2fvEhHo7z3a2G8/N63PCDu5bwQ4ZC8dfNMO472Azlcnge7q3XuO4wSEzxL1og8ABkSvccw0jvXXRG9Kn8Hva92TDz5Fla9QilYObYGEL2dWGQ8mgL7uzHv4DuRrrC8pbzjvJ48VT3NBey77WyivLlMRDzvQF48jRYYPOrIgTzyZwm9RtIfvI1rWLtYKpS8K06xu0D3/TuoC6C8VywIvaaAIT2GBIO8a/MhvCga5zyh+Yo9CUcUPM5GhzsL0hI9bPEtvOEPFT3CkQI9RA17PHTl9bvjmpM8f9aUvbvwhj04A7a8omokPcqhoz19vC+6ABsavOZ43rygNGY8+UHsOx+ZLDvCAhw8fRHwvDgfD707qo26TQICvQ0lXzx2Nw29lUQGvI7ccbyf3yW6VaEJvCnDsjyqekW7cx+cOcyfLz31R0g8+c7ePIxtTLybHmk8Elc1vSY6KL2SZXy99mGtPPZhrTxR3li8+QiFPSjFpjzznvy8Eqz1vP4AtTwsv0q8pw0UvFHeWD0EpKS8Bi8jOgKojD3MgWI9Ja01vTUHnrzkmJ+813IBOmXDvzz+HoI5qgksPNpuGTxXnaE8pIQJvQ6yUb3UXAS8qZiSuyQgQ70/Fcu8I68pPUzKzzyTm7o7J8eaPQxDLLp92Ai9BhPKvN69fT192Ai9FFNNvdGZUzxAMaQ8c66CPHUdqD3UWhC9dTkBvJLy7rvXq2g90iRSPLnWITxJXZ68XbEqvaRmPLwbZeK9CinHPICa+rq6Y5Q8Uk9yu5fPhD0DM4u8M0J5PCKxHbvznvw8nqfzu8aLJryJj4G7m1gPPJ7hmbvTIt66yBYlPQq4Lbz5Xzk8V52hPK+smzyXsys6CUcUvP2Rj7z3fYa86h3COZxWm7xSFgs8HX9HvKjvRj328oe69NYuvTDVx7vlelK8z7cgu+HxRz2tkrY7XJdFPPJnib0kPJw7/AQdvbABXDz9V2m8xI2aPIdXzzwjIre87VOAvJEQPDzORge9NwUqPHJ20LzbUMy8djeNO2lmrzyj2Um9fivVPHwvvbxJI3g6+NBSvY1r2LzD5M68X8sPvAH9zDzjmhM9rCORvAoNbjwpGue6PzOYvYV3kDzXq2g8Ud7YPB4MOj2FW7c8OFh2vVSFMD2mD4g8IkCEvYYEAz0EFT48jRYYPflfOTxxBbe8V/LhPFP6MbzzSTy5JckOvStOMT12jM08TXObPIK0Xz3h8Uc8gWGTPf3mzzzxouS8f0kiPdSvUDzEAKg8iVXbPDPtuDuf3yW9ISQrPRPkJ71dQBE8N+fcPCdWAb37d6q7IbORPG7txbvVy6m8uNiVPY0WGLxi4wA9RNYHvPK8ybszYMY7x4myOzmSnDtjNs28CinHPDfnXDzc+Rc9MtPTvKx4Ub3bNPO7gtC4uiepzTzfSvC7dZA1vPVjobwKKce6cM/4vITqnTwKKce7UW0/vJxWm7xKWyo9OawBvXIFt72LGoC8zBDJPGajfj1VoYm7QaBJPUNJFTvPDGG9T/4ZvAgtr7kw1Ue82VJAPZ9ujLu4vDy7S+icPBf6pLyZPio8Q0kVPdRaEL3d96M8CritPPbUujwgKBM8jImlPACqgLuyxAw92DjbPFCLDL24SS+9pw8IveMLLT0bnwg8JR7PPKNM17sNlvg8aL1jPW4LE7p8oFa9hllDPPDcCrz+ALW8AzMLPfzK9rwK1IY8qAsgvLSkS7yn0208mx7pPODzu7t5M6W7g7TfPGRSpruNa9i7yaMXPWLjADxvCZ88+QiFPatc+DvRCPk8Khb/uZWZxryKU+c8m1iPu5ckRTyep3M8M0L5vPwEHTyPoZY7lnv5vBNxGj0EpCS8rh+pOq0hHTnCkQK9E6x1uoJfH71T3GQ99bjhO4iPgbyJAJu7ZKfmvJ6nc7ycx7Q7Jzg0vDLT07xZfeA7ma9DPWxiR73Sl1+7ziquPDLvrLt0kLU8ilNnvDBkLjwisR298aJkvIG2U70SVzW8j4U9PBna4ztGmu28yKWLPCB7Xz2ayxw8XbGqPF+Rab3EjZq8c64CvdlwDbynDwg9QUsJPRHKQj2i2z09XbEqvcn6Szv0K289lbUfuwe8Fb3rqrQ8jvjKPIU96juaIF08gl8fPS9mIrx/Ry49zkYHPIJfn7xkp+a8TQKCvArUBr1ERyE9QaDJvHSQtbxm3SQ9dhs0vNv7CzzN8nu9NGBGPCrfi7ztNbO3renqvEaabTyMbcw8+LT5vAopR73e2Va9Nni3PDBkLr0kIMM66/90uxiHlz0G93A8PohYPCQgQz3PKLo8IQhSvAYvI70oVA29fZ5iPFtChb0Cir88iHOovQ4j67zY45q6XbGqOy1oFj3wFfK8G2Xiu04AjrwhsxE9RtIfvX7WlDyep3M8xI0aveUJOb37dyq8mx5pvCjFJr3Y4xo9k7kHPSJABDuWCOw8FW8mvJYI7Lu0T4u8cwNDvPUrbzwlrTU8JcmOvQ4/RL3KoaM7bPEtvIiPAb1MdQ+8VPg9PHDPeDwGhGO8Vdh8vYWwd7xxlB29m5F2PHEjhDzhgC67cZQdPEtZtrxDSRW8YjhBOJmvw72nDRQ9Uk/yPAGoDDzx3Ao96zkbvRKs9TwvLPy8AHDaPARqfjsjk1A9w3O1PHsTZD0EFT67Sc63vC7ZLzyexcA8dOV1uzv/Tb330sY8K6Pxu5KBVbwT5Cc9MwsGPMUcgT2fw8y8E1XBPENJFTwDFzK7ZcO/O3MDQ70Fhte9W5dFvUjQq7z4X7m7i4sZvfldxbxXnSE8koHVvLHGgLxI0Cs8TgCOvF8gUDyQEjC8qe3SvEx1jzzc+Zc8zIFivHMfnLn37h89WZstOeh26jzyZ4m8/48bvZO5B70ForC8w48OvVJryzopUhm7IyK3PCtOsTy0Naa6fEuWOp/fJbxI7IS8gZp6vHX/2jodKge5xRoNPVVn4zw6cls9sP/nPJYIbLy71C09xRoNvYdXT72TLJU8TQICvZdAnrw6cts8iXG0OpezKz09++W7ST/RuzTP67qOaWS8avUVPMNzNbws26M722ylO7gR/bqD7JE8cx8cPXtNijzPtyC85rIEvWFWDj1nv9c7cF7fPCujcbzhgC69AW5mvVQUFzw0CRK9WQzHPKfxOrwvZiK9io0NvYWwdzy0+387pIQJvYEnbbxGJ2C7Eqx1PZqtz7z+ADU8TXObPIV3EDxfPCm8sTeavbXCmDyiaiS9YMkbPYv8Mrup7dK8Dj/EOzw3AL1ufCy9Br6JvHkzJT0saoo8V/LhPOV60jwdKoe7CkUgO5D21rsGhGM70dGFPMsuFjo4AzY9W3tsPOodQj2QFCS9HygTPRZtMrxIsl68DZb4vHGUHbzEAKi8G58IPJdAHr2gbBi8k7kHu7pHu7yB0iw83mi9vKYPCDvDczU9Q0kVPAb3cLw0XtK8HX/HPPRllTojIje90s8RPU/GZ7zrOZs8ETvcvKXXVTmrBzg8C9KSPL17BTz0LeO7ZMWzO8DO0boFhle7q5aePJKdrjySgdW8xxgZvJyr27xwXOu7HwpGvMLmwrxtfqC7yvjXO2jbMD1wlpG8gSftPDNgxrvYVDQ7NV5SPFeByDzRJkY9oMHYvGu5+7shCFI8KMcaPKMwfj0vSFW7YVYOPOGchzw9/dm8YJFpvI0WmDuKjY27tTG+OwWisLyXsyu8HJ0UPGTDP7nPKLo8rSEdvPoGkbx2N428+ewrPA3Qnjvb+4s7iQAbPXj78rsKRaA88y3jPC291rxPjYC8REchPABw2jziZFU7TQICuyoWfzzdhgq9p34tPExXQrwzfJ887DcnvDw3gDxQb7M8CA9iuS/XOz0JRxQ9Mn4TvIr+pjwnODS9M0L5unaMTbx2qhq9Q7quvQ+w3bwbg6+8g0HSvKolBb1WEK+8QPd9vBdrPjy0M7I8eIpZvE/GZ7y/6qq8oDTmPDyMQD3Y45q80EQTvZgi0TtBSwk8M0J5vAKKv7zKaXE7Q0mVPKcNlDyexcC8A4jLvJk+Kj2eNtq70ZlTPES4OjwoNkC8or9kPezGjTvh8Uc8afcJPMAGhLyQg0m90s+RPErMw7zmB0U93dvKuwD/wLp2GzQ6bwmfvJdAHr1zA0M9DEMsu8hrZbzIFqW7OpCoO9C1LL2jaDA82XANuwspRzxhVo68/cp2vE3kNDsHvBU8pfOuuka2xrypfLk8ziouu687AjxDntW8qiWFvPd9hjybHum8yy4WPF8g0LvXcoG8o2gwvR/ubLsnjXQ8OeXou3OuArtpSta8XJXRPCy/SjujvfC7V4HIOqhi1LtRiZg7AHDaPBbCcryFdxA6nnCAPAYvIzuTuYe8082dvNzdvrxoTMq8/VdpukFLibpGmm0842JhvFm3Bj1Jzre8uC3WvPlB7DvrrKi9a4CUPN5ovbytkra8R18SPMA99zwfYXq88BXyO5zHtLsnjfS85GDtO0CiPT1csx48wD33PMX+Mz2AKeE8932GPGuAlLw8qBm9AhmmPLzukrwbZeI81uWOvGi947wZFIo77P/0O96ElrsoNkC78U0kPURHIb27tmA8UvwlPKp6Rb3SJNK67cSZOkS4urwCjLO6Dj/EPFWhCT3Mny89yaMXvNpumTzV54I7KsMyvF0ixDvoISo8bA0Hvdz5lzymgKE8ZzDxvCrfCz0pUhk9PfvlPEO6LrzHiTK85CcGPez/9LtV9km8WrUSuy9mIryXJEW9y4PWvIqNDTugwdi84YCuvI+FvbvjC628J6nNvKfxOjtjGvS7YavOO+rIgbudVCc955Q3OoK0X71hVo686D0DPCKxnTx2/1q8OQFCvZAuiTxbe+y7pw+IPUYn4DoXiQu8k3/huNjFzbx0Ac88BhPKPA7OKj0C+1g7m8kovamYkrxRiZi8hbD3vOcFUT1P/hk7645bux4MuronVgG8Aoo/Oufp9zzznny8pdfVu9vDWTsN0B49Y8WzvP+Np7xmo3683PmXu23vubm80rm86juPPKXzrrssagq9THUPu1l94DwkIEO6XJVROyJ3d7xERyE8T+LAunU5AT3cTlg8ilNnvKK/5Dwdf8e83tnWPD01DLumRvu7dXLovOs5G7xDLbw78b69vGxkuztJP9G8pIQJvbM1Jr2Wl9K8o0zXu/lB7LxJP1G7T+JAPR+1BT0wLHy8PaYlveyM57rqHUI7NQeevHCWkbtOyNs8jvjKPE4ADjzabpm66D2DvCoW/zv6eR69Uk/yvL3QRTyHV8+8tRVlPPnsKzxOxuc8XAhfvW7txbx8oNa6gSdtO7vUrbysI5E7eYjlOqp6RbwC+9g8fL4jPaHBWLy8Q1M6iXE0PKBsGLy8J/q63xGJPOwbTj3z2KI8qyUFPMAGBDu+QV88YFiCPQYvI7wftQW8dTmBO/TWrjzPKLo8omokPRufCDxNOfU8fdiIPEZhBr11kLU7w+TOO3UdKDu/eZE8BWp+PAxfBb1AMaQ7Aoq/vJlaA72Xz4S8Oh2bPN33I73tqEC81cspPJ7FwLzxTaS8AqaYvOEPFb2iv2Q7GhKWPHMDQz0a2G+8kZ8iPatc+Lwso/G6cQW3PIJDRrzodmo8ssQMPWuAFLtxI4Q8XZVRvElBxToIuqE87IznvJqtz7yrB7g8g0FSvC9mojxU+D08NQeeO1smrDrZcA09DiNrvFtChTxGJ+A8Yxr0u9z5Fz2FsHe9GhKWOh4MOjwpp9k6vl24OrxDUzw+M5i8zkYHPZ04Tj2VtZ88PYpMO7llCDsMXwU828Flu/ldRTvSz5E7YuOAPABw2jus6eq7/ASdPFruebw0YEa8XzypPBI56Lwq3ws8X8uPvFUSo7uJABs8yvhXvCEmHz39V+k7hlnDPJObOr08GTO8JxxbOuYHxTxJ6hA9wpECvBeJizwwgAe9uNiVPOJk1btdQJG818k1vWRSprzI3H47zbkUvFh/VLvG/D+9exPkvJjNkLuhTku8M9FfvMqhozuhwVi8CJ5IvDh0zzz7d6q7WH9UPPQr77w9++W89LrVuz8VS7s1loS8PfvlvH5JorxF1JO85rIEvKO98DzNDtW8P8AKvWaj/jyZWgM9rq4PvfZhrTwB4fM6o73wO0RHITxo2zA9mM2QPNz5lzx4prI8lnt5PJZCErzh8Ue8U4ckPNrfsrzpHza73YaKu4PsET0JR5Q7LDJYvffSRj1iOEG8jqMKPRbCcjyk9SK7t0sjvNIk0rt2jkE8TshbvMbg5ryAmvo7H7WFvM8MYTxcsx68Q7quu/fSxj340FK7ciEQvAi6IT34tHk8Uk/yup9ujDtb7vk6vbRsPEZFLb23oGO8N+dcvK6uDzztUwC8k7mHPBF1ArzhgK69kyqhvB/ubDzXq2i8/Mr2OQWGV7x+urs61VgcvXQBT7xzdFy8fIR9OxbCcr3LLpY8BTEXPTBkLj2QLgk9N3bDOxrYbzwnq0G6zn9uvGPFszmC0Li8g10rvXU5gTxpZq+85ZarOhPkpztZfeC7RCtIPX0R8DvrORs8TTn1O01zm7xhWAI83YaKvETWh7zkYO27c3RcvP0CqTwInsi7qe3SOflBbDoBjDM9tr6wPDCABzsAG5q8cF7fvJFlfDuBJ+08rSGdO/1XabwPsF27c3TcO/RlFTxdzYM8wHcdPSEkqzveaD28EshOO/d9Br0zQvm7DiPrPC5KSbwlyQ493xGJvHiK2bwkPBy9K04xPDDzlLzVy6m8+V85vOYjHrvZ4SY8g+wRPOYHRbwisR27V/JhPLT7fztwXl88Fm2yOrorYjw55ei84ZwHPJdAHr3yvMm6FOIzvBXgvzyTm7o8NQeeO7EbwTvEcUG85gfFvKDB2LxM5ii82XCNvIv8Mjuurg+99vCTPL17Bby2TZe8yNx+OnVy6DwAG5o8ymnxvJJl/DzvM787qXy5vHiK2TnXVqi80dEFu4iPgTwge988kYPJulRp17tfk128uWWIPEGgSTtR3lg7hlnDuft3qrvXq+g8DLTFu+DXYry/6iq8zkYHvbA5jrxsRm68fdgIvA3QnryBYZO8XgT3u/W44bxaKKA8J6lNPHWQNTwoHNu8WX1gPLpHu7v6eR69ncc0vKtceLxM5qi8a2S7PKLbvbxNOfU74tN6vIyJpbxwB6u8ixqAOxj4MD0eDDq6pErjvCIGXrsSyM48oDTmvApFIL1GYYY86Hbqupgi0bw3Bao83dtKPGcw8TzyvMm78b49usUaDb1P4sC8r3L1vHkXzLoY+iQ89WMhPGPhDDylghW7/48bvPnsK72PhT27BxHWPEQNezstaBY7K90Xu/G+vTu2ote7VWdjvWhoo7zXVqg8gl8fvR6bIL2B0iy7fbyvvJZCkrybyag6uNgVvNbljrzwFXK8/40nOjZcXrwOI2u85ScGPIhzqDzolLc8E6x1uks9Xb1iVBo95Qk5PJ7FQDse8GA6Mn6TvP2RD70ffVM8LtkvvNJAKzxbQoW8qAsgO18EdzxRiZi7/40nPbzSOTxA9/268meJPMowCjyPoRY7IwTqPBMAgTvPtyC9xosmvXYbtLy3S6O8dOV1PNlwjTwGhGO8djcNPZVEhryqJYU8+nkePBv2vLwuSsm8Xj6dPIkAGzz3Q+C8/gC1PKX1Irwpp1m9bdPgvPPYorwfmSw8GthvPA7OKj3CApw8m+WBPJZCEr2o70a816tou3Dr0bzyZ4m81cspvKNMV70P6oO7t6DjvIGaejyPhb28wQQQPY0WmLyj2Um811aoO9FCnzz57Cu83xEJuqBQvztFmu07wubCPKzpajvuUYw8R18SPePvUzwCij+6ymnxO4yJJTw4H4+8CYD7vLzwBjzJoxe8zyi6OgHh87unfi08qe3SvKjvRjrRQh+8ssQMOjXrRLsXiQu84g2hPKyUqjyk9aI82MdBvB+1BTlmMuW8UW2/vE+NgDzpkM88XzypvDaUkLlNOXU7xY2aO26YBT1be2y74fM7PAYTSjv28JM8AxcyPAcR1rzDj448SEHFuwctL73LLpa7RZrtO/p5njs/FUu7lyRFPHDPeLxhVo48n26Mu1T2ybzn6Xc8HSoHPZuRdrz/cc480Cg6vMjcfjzZ4SY8AYwzPDwZMz2gNGa8tDOyu6A0ZrzSQCs8n1IzPEO6LryjaLA7MwuGvCJABL3wwDG9NyEDPVyVUb12/9q7sDkOvcgWJbugNOa82/uLPHY3Db280jm8n1KzO0p3g7p0rI68NM/rOx4Mujz1uGG6a/MhvQlHlLs26VC95gdFvB8ok7p9vK+8UvylOynFJjy6Y5Q81FoQvbnWobzV5wK8dxnAvI0WGD1U+L28L7vivN8RiTwW/Bg8gXULPSarbj2MYEi99KHBvB9Yurnf79y8WZ3hPEIw0TurFLe8bM/8vHuXKT3Yhdu7p3yuvHAJAD0LScI8gAyPuzTQrrohTdY879qsO2LBHDxThB09v6/OOibZCLzMaxI8MBWDvJW/ZT1AdaW7dblHPOC17DxKPb+8BbydPOeqm7zOJj488Am5O2OHrLr684O8sRU8PINTWr1GAkq8me5xvHHnzjxnzne8eaKNvEWwGr1D0z28qQhOvB8H/TyvlXI7962qvF/vIz14dPO6CjJ1PRr6Ib1x5848NXMbvZ3v9rxvZpO9vDrpPOvlED1i+wy9qGVhPVkoDzqYeZ+8AwLkvFzjujxY+vS6W8xtutLh6TyBXr68phMyuyHZdT3YEIk932M9vS6VubpVKHw8XmOEOcCvzrwREFc8FAVzPCBN1rr2IQs8OwDAvBC+p7z2RC67B9RcvJ7joL29urK8R1T5PMUBkTw/Xlg8BTFwPb6AQrx20BS81+LuvKmUbT1jcN+8CjGDvW2s2TwRYRQ8PYCJPFA+xD14dPO8FmKZvO+J77wS7TM9JatuvNLhaTvWbZw8XykUvT0MqbxZtK69moUIPV1vWrwMJh89nBGovCarbj1kE8y8hrzWvCX8K7yZ7vE8XcCXvGrOCr1Ld687aU5BvcOBxzthzXI8ewsKPaHYPDw9Rhk9jo/UPMuOtTwrT+A8XtjWvPDPSLz6fyM8UD7EO/fQTb0X12s7fCPJu/JPkj376J88qGXhvHvRmTuPpiG9u8UWPGhljj36fyO7B2B8PLX+gb1hzXK7ztSOvKuIlztDDa68Jk7bPAYx8DvOmh69LNt/uziA9juEpBe9ww1nvAI81LzAr868PyRoPIX2xjxk/P68g43KPOkTGL283dU7xbDTvJMn3bxThB08SNRCPLdocDy1OWQ9b6H1vNo/lTtk2Vu8sMOMvenC2jwAu5i8d8WwPLLymD2Vbba80TInvYMBKz1+UtW7RV9dvOPBVTwz89E8e125O74M4jw/mMi8OEUUPWZZpbyBJM47eVFQvep8FD3UPhA91BD2PGZZJT3O1A49SIKTPXj/ID0J4EW9LNv/PH06Fj0HDs28wd7aPI/4UDixOF+9LqwGPYONSr2cESg8DY+bPH06Fr0j8MK8ygIWOmiIMTzjEpO8LUOKPdk/lbwBJJU8uZf8uvAs3LyXYtK76ohqu5r62ru4XBq91gQgPLK4qDvy/lQ9w0fXOxlXNb0AMOu8FAVzvJzuBD14dHO54W8mu7xoAzwTkKC8tTlkve6J7zvCL5i8OiPjuhmRpbyDU9o8SbEfvfFb6L1MbMs84eMGPQNTIT238506zGsSPUvJ3jxmzne9c1DLuyMHEDxber68cZUfPW6gg7xDDS68kz6qu50dkb1SbdC7qVkLPZodfrxd+gc9Ny7HPErrDz146NM891xtPCPwwjl9I0k9h+viPIg8IL07xk+8s344vY6P1Dyghg091+JuOxxMUTtgkpA8kBv0PPwLw7u5l3y9kpu9u6ESrTxl8Ki8G8AxPeu3drvX4m48MBWDvHhRULyIAjA9T9XHPIewgDzTeAC9xjxzPatOp7tl8Ki8Zc0FPQLTV7xY+vQ8LKAdPClaRDwCU6E8b6F1PBwpLr0RYRQ8wTtuvJQcebssoB09DOwuvaDB77zenS08FkvMvMcZ0Dw1c5s7FUtMu6TNWLuGSPa7hTA3PAoy9by7xZY9hkj2usO7Nzy2UDE8NTmrvKyg1jziNTa7rfGTO1j69LyWShM84VhZPcUBkbxgQVO9ImSjPFCPATz8i4w8kyfdvAr3Er1rILq7ZXxIvMylgrw00C69MmeyPJPhFj2fkmO8GMuVPJLt7DwjBxA7FoU8PTzdnLzT+DY8MlDlvKsUN7upWQs9WUsyPck8hj2zlYU9ihrvvI/4UDyaHf486x+BPOCSSb3tTg28dKEIPZ+SY7ze1508ryAgPRIEAb2sZmY9B44WPDItQrxd4zq9pXBFu7OVBb3zivQ8M39xvUZThznThFY8DY8bvYtIibpt/Za9CjL1OtYEIL0QhLe5ptlBvfsu5joKMQM9+i7mvBMcQL2ZHAy9DckLPSZlKL3YnKg8LbjcvN36wD1uwyY8N1FqPIuaOD02aLc7+P9ZvYxJ+7zGPPM7VsvoPMYZULzP7M08kwS6vW+h9bzn5Iu86wi0usiZmTzyT5K83ePzPKsrBL1JDrM8jhqCvIRTWrw6OrA8eqN/vcH1J701xcq79tBNvDN/cb3DR1c96E0IPCfxx7twzw89sU8sO+mIarw2i1q85bZxvHNQyzx1CoU4CjGDvWL7jL2yZ+s8hHb9OkRfXb33XG07KTchvEjUQj38XXK8Gh1FvZpuOzxX4rW6L1vJOqWHkrzhbya7MCHZPIwmWLz0Z9E6qxQ3POKpFr0IyIY9IwcQPHwApjtJDjM8dKGIvfOJgjw7OjC8YJKQPN/v3DyzZ2s8/VEcPVvMbT27xZY8zI41ve9mzLzn5Is8L3IWvGsgOr3LyCU9GR1FvJ0GxLsVNP88vfSiPJqoKz0/JGi8p7YePEU8Or3fYz082DOsvAzVYb1dY4S9CVQmvQbUXLvgtWw7JsK7vBNWsLzyOEU8e7pMve6Jb7xY+nQ7HCkuO8vIpTx4UdC8Fb+svOurIDysw/k7I1m/vFK+jbxIDjM9D+FKvLMhpby8F8a8A1MhvDjoALzKDmy8L/41veyUUzwOPl48qsKHOy9yljvXp4y8UeEwvG+hdTvvtwm891xtvBcR3LtMgxg8M3/xPFbL6DxsWio9eYvAPMMN57wiZCM95XsPvUwDz7zO1I48XykUvOyroLyTkNk8kBt0vBcFhj1O1ce75XsPvFK+jbzAxhu9HbXNPD6Be7xqFFE7gLtRu4aZs7yGsAA7zpoePShChTmahYg8an3NvCEqszwS7bM68ltoPC6shrybwGq9YvsMvV3jOjxxlR+9rpQAPFUo/LrRyao8TAPPvCzb/ztpKx682daYvZjiGzyezNO7Xkw3PTf0VrsfNRe8yLw8O0+ypDsawLG5sDhfOwEwazyCxzq8uiKqPaTkpbvEO4G8OIB2PHa5x7wIA+m8PtI4vYoa7zzqCLQ7LbjcPKST6DzRyaq7wi8YPIQZ6jvdbqE8bf0Wu3w6FrtJJQA9He89utdtHD2/XR+9/VEcPUKBjjy1OeS8nu92vHai+jwpNyG81gQgPJfWsryfNdC8uq5JvKSqtbwtfuw7fDoWu5kcDDxUED09IkEAPKnlqrzn5f27i/fLO/aW3Ttl8Ci9sn64PK3xk7xMVf48aGUOvTU5q7wsLL274EAauwYOTTqSYU286nwUPefkizwkfGI8d3MBPYlrLLyReBq8lb/lOvmixrw1xUq81m0cOt96Cr2BmK47kNWtPPt/ozuALzK8FajfO4uxhbuMdxU8rpSAPOPB1Ty3f708imssvSr9MLxAGJI8Dxs7vAT2jT3QPQu8EDN6O/dc7bwKMvW8/4AovMBSOzycESi8rpSAPLquyTzH39+8Tyf3PIC70TurTqc8DgTuuzo6sLxUs6m74m8mvWMqmTy+gMK6/2nbPIbTo7tXv5I8b0/GPOJvJryVv2W8QMfUPNYEID0S1ua8syElu5qFiLwOPt68SwNPPF97w7xyxKu7iI7PO15jhDwbhsE8c/6bu+PkeD2oZeE8Z853vBLtMz20rcS89kSuvDiA9jozf/G8pXBFvWNwX7xmk5W8/VEcvZMEurzBaQi9lb9lvIN2/bvZnCg9eMUwPPpcADyUHHm8YyoZPWlOwTyEGeq7VlYWvdru17vxcrU7mzRLvIIkzrx2lqQ8j6ahPJW/5TymE7K8qqu6vEzgKz0tQwq8r5XyPJ6pMDwtfmy7tJZ3PSpaxLxVP0m6EZsEPXw6lrtHvAO9ZJ9rPCxmLb2hZNw8WkBOOtPVk7rZeQU8RRkXvNN4AL3AO+48pHDFu3vRGTwAuxg71pC/upWEA71Mg5g7ww1nvDsAQDyGdpC80D0Lu7X+gbyDpJc816eMO3ZcNLwXEdw8S1QMPOL7RTzEDee6rCsEu1Uo/DsDdkS8LKAdvNIPBDyvICC9SrGfvG+h9TueVwG7qR8bvDd/BDysFDc5BjHwO1Qnijz0Z1E71T6QPGNNvDyQSQ48gse6u3uA3Ltoq1Q8d8WwPMe8vLubS5i8+mjWvJC+YLu1xBG9xF4kPG39ljxVkAY8TSaFtekTGD363La7UFWRvIYNlDtE6oq92u7XOwsP0rsMJh+9gAwPvGu3PTzowlq8vgxivPMVIr1pKx69UATUPJqFCD2a+lq8UafAu8ReJD2wOF88gUfxu8ylAj13Ree8uv+GuG3P/LvmtvE6DMmLOoQZ6rtkZAk9B2D8PI13lbwEpdA7+IqHuvwiEL1pKx48xF6kPPm5E7v5i/k7VCeKPPZErrsP4Uo63KiRPJfWMjzKAhY8WbQuvdOE1jx3cwG8emidu2j8ET1NMts7zBpVvdQQ9jxKJvI8ZPz+vIr3yzxU7Rk9KVrEO/siEDw49Fa9nlcBuuaTzro+rxW9HNhwu5X51bsdBgu9/gDfvMwa1bv+9Ii9tf4BvchfKbyx20u6FwWGvLU5ZDl20JS8LCw9u/fnGjxXvxI9oNg8O5PhFr3aP5W7IdgDvJwRqDxe+/m8ZlklvZF4mrxUJ4q8gUfxPCbCu7sBR7i8qEK+PFwdK7xBAUU88eYVPd3AUD3355q8sIkcvf7dO7wIjpa8KAiVvNuoET2DpJe7454yvN36QDz1LeG6+9HSO6y3ozyPpiE8R0ijvAVIPTwg+yY91T4QPAkD6Tks8ky8/YuMOzDbErpakYu8KnGRPA4E7rsIyIa884mCu8lfqTzUmyO6qsIHvHSKu7yLSAk7HAaLPPZErjyuWhA9DVUrvVWcXDw+r5W8emgdPafCdDxrzgo6H+RZvErrD7npExi7/4z+u5SnJjzZKEi9drnHvOeTzrwVS0y65SrSvLvFFrx3OZE8eP+gPCgrODxlzQW9JHAMvZod/rvIX6k72rTnO9SbI7yDpJc8EWEUPWT8/jyYeR+8TWzLuw3VYbvB9Se9xzAdve+gvDoIA+m8cAkAO2Sfa7s9gIk8juARvRC+J7uwiRy7QvZgvKlZi7xl8Ki8SusPO4nfDDwLSUI9bqADPTaip7zjTIM7rVqQPC/+tTtltji8bc98PAoxAz3jEhM86YhqvI6PVLyGSPY80D59Pa9yz7yplG28+1wAuq6UAD3Hag09tTnkPLqXfLstLL08h5mzu4eZM70olDS77JTTu9Qnwzt4UdA7RzHWPMe8PLxI92U8gPVBvT2AibwM1eG7Dj7eO2sgOr2deqS8L1tJO9QnQ7z/adu8jxt0u9Lh6bwiQQA8AGpbPE34aj3qK1e8FOJPPellR7ySsoq8yz14PPyLDL0D38C8iaUcPXdFZ7xh5L88ESekvB3YcLryW2g81/m7vL8jL7y7xZY86E2IvGBYoDzGPPM8P3UlO5G+YLxuoAM9VXk5vMux2Dzvie88G2Oeu+pCpDxwuEK9Nmg3PE0yWzvoTQg9yNMJvIewgDxGPLq8sDhfPCbCuzy5C109pjZVO/lQl7zmk067Q5lNvKNYBryHX8O7GvqhO6VwxTr2Cj48FTR/unUtKLx0oQi8NNAuPEZTh7zTvkY8mh1+O8ReJLrSG9o8m0uYu/yLDD2ADI88jNSoPL8jL7039Fa73cDQvCbCuzyFaic9SyZyvO1aYzxPJ/e8EWEUuzGteLz/gCi8PUYZvREQ17y/6b67MwqfvC3PKTs1cxu9KZQ0vcE7bjwTHMA7OxeNvFAE1DwvIdm7aGWOvEAYkjzMVEW8jcnEPIYNlLx2ovq8URshvD2ACbwlq267g6SXvHhR0LwlNhy9bxVWPK3xkzzCavo7rWbmvNuoET0qNyE9rn2zu4u92zhgzIA7rkPDutazYrx+xjU92rTnPJ6SY7oqrHM8ox6WPN36QDu1rcS7H6rpu+Uq0rzQPQu7QjDRvD7SOD0ot9e71GEzvXr0PD3OYC67OEUUPT1GGTsCxwG9iDygvEUlbTxx58671rPiuHq6TLyRD548ijE8vBcoKbyJa6y8fSNJvHFbrz0lq+67A42RvInfjDw8oyw8U23QvMk8hjsxLcI8K2atPObNvrvHGVC7OC7Hu8wxojy93dU8EwXzPN7jc7wTkKC97U6NvEYZlzzd+kC848FVPILHurtyc+68K4lQvcOYlLxfKRS9kXiaPGiIMb2vcs87ZE08PeRkwjyzlQU8byyjvJ7v9juy8pi6RRkXvDnRs7sTkKC8Tyf3vEkOszwsoJ28UFWRPPvonzz8dL+86YhqPc4mPjtISCO8CveSPI7gEbwvIVk8Nmi3uKdlYbkhnpO8dn9XvFwdKzzh44Y8hnaQvGQqGbon8cc8fy8yPUA7NTzcqJG5an3NvPJytTwlq246/lEcvAJfd7uufbM8hTA3u4dfQzqiQTk74vtFPJEPnjyj8Hu8vUbSPFEbobydnUc6NcXKO1ZWFjwsLD096+WQvBkdxbzI0wm97FrjO2Sfa7wmZSi5Nq59PGuUGruOj1Q8xOrDuwjIhjsjfOI7i73bPGCSELzB3to8rkNDPGtDXbykcEW8uZYKvLctjryzZ2s8M39xPDiA9jw8L0w8+bmTvBo0krzz2zG9xo2wvF3Al7yXP6+7q9pGu1Jt0DvtTg29zGuSPIQZ6rtcHau8lYQDu/wikDwCX/c7evQ8vQLHgTxMVX68vfSivJmoqzth+4y8IvBCvDVzm7uxT6w85+SLPOPB1bxK64+8WdfRu/JbaLxvZhO98ZVYPMZTQDx3Rec8DCYfPPHPyLyCO5u8w9IEvYyaODuADA+9ASQVuyUfz7zVyq+8I5MvPDoAQLuv5i883hGOvHa5R7uu5q+8wMabPA8Ebryd7/a8orUZvbQK2Lup5aq8uZYKPbqLprx9dXi8x/asvEPTvTvsqyA5LNt/u+hNCD0BMGs8/a6vvDdFlDwk/Ks8qZTtuzMKn7zoNrs8dtAUPR21zbz+3Ts8U/lvO4lrrDxEJW26iWusPLhFTbw1cxu94+R4vCZO2zwUM4080D0LPKo3WjwU+Zy8JtkIPLr/Br3oNrs8EtbmPO1a4zz4ioc8UARUvII7m7vFsFO87M5DvWbO97y4ua27ASQVvWzP/LzLApa71sovuXUKBbyTysk6lOEWOzs6MDzVPpC87KugPCUfT7ws8sy8K2atPCJBAD1rQ908HNhwO93j87x8OpY72BCJvHwAprtftTO8FDMNvJqFiLwJMQM8CuBFvLSWdztoq9Q7NCJevHAJgDtlQli8Jk7bPNnWmDubwOq7KX1nPEcx1jy56Dk8TkkoPWhxZLwEpdC734bgvKi2nrust6M8j2wxO2j8EbvpExi9A9/APMDGm7zszkM7VpCGPMUktLzSVUq7ywKWOwngxbsqcZG8xjxzPAYxcLxFsBq9NcXKvFSc3LuplG08e4BcunyAXD0WnAk6o/B7PO1xMLxDDa68XOO6O9eQv7wKMnW70hvaO9UnQ72SYc086PxKvN6dLbwYeli7VCeKPJD40LxrlJq8XymUu+ApTTwBXoU7R7yDvJSnJrzoNru8b7jCPO/arLvVPhA7qVmLPN7A0LkE9o08GZElOy6shrpmWSU7J/FHvFi/krt0iru8ygIWO4UNFLxIgpM8rLejvLNna7ylTSI81HiAuyfxxztGyNm8DckLPcxrEjwjzR89/AtDu5W/5TgZBvg7QoGOvInfDD2fqbA8pJPou239lrrqfJQ8qR8bvOsfATzX4m48EsqQPONMAzuFDRS8NXObu6J7qbz3c7o891ztOw1VK71OSai88aylu9w0sbxrlJq8owfJPDSti7ya+to8Y4esO+p8lLwBDci6yg7sPAsPUrwXYpm7Ur6NvHI4DD1fe8M8upd8PFUFWT1kKhk8Q5lNO5zuhLzdNDE9aSsevKaf0bzTvkY8hN6Hu203B7uYy8683OIBPW1yab2Ddv27jT0lvY/4ULyakV68EgSBPG2JtryjHpa8nXqkO8ReJDxZtC67YJIQPRC+p7uaHX67K4lQvbr/hrxjqk+9oRKtvIRHBDzGx6C8M0SPO0KkMTwX12s8S+Cru9q0Z7toceS8gurdvKK1GT1anWE8KX3nOwr3EjylhxI80h3wPIvgWjx8MPy8sN40PAbasbvIQ5q8pegou+cASzwPV/C7MsDqvNbzVD2bCeO8y5KovHOlND1c+n094C8yvKxOobsysuE8XMelu/6rAT0b4ts8NHGAOywZkbtLXRg9lNuyvD2DHj2J5aa8EYrsPF/6oT0TtKu82J96uybY57xvSPk6wbNiu0DEI7wOxwA74C+yvJusy7ymote8ZwMDvY0KmryDBoW9+6tdPKr/krzB66o7EDvevMGACj20mAe8kQVOO1Ta1jyURlO8S8g4PWwV/bufCYc8ZIo1vXq8Hr1c+n292J/6PMNRfzzc/LW8SeRKPeI4bzx+qUm8qjLrvJL3xDwgwX075UacPPPoTT3fBXO83ajbu3CqAD3P6nM9jHU6vcdfLDv5Tka8okqMO4akoTyfmXY8IyxCO88ivLwtdqg8BEXSu7nLA739qwE8II6lO9NVOL1ahqC8OVAiPRq9jDz5XM87XDJGPQRTW7zB6yq9qL4Nvci8Qz2AjTe9Hk0gvft4hTzJQ5q6MsBqvNcPiz2GpCG9Ae0GuyRWAb1r8C09StbBPBRu2jr0Eg07K+9RvI2tgrxLuq+9i5HMPI78kDz5ueY8+DcAvd2RFT02QvW8jXW6u4Udy7tcag49P5pkPFAS+7p42DA8z1oEO9KyT7yfCYe8+vEuPRs/c7yL7uO7csHGPJ4XED0pQ6w8VinlvM/q87tfnQq83bZkPLoaEr3zfa07oCBNvCKlaz2Fsqq8yIR7vRz+kbyYa8a8Yt6PPL6AZj0YDHc8DccAvA7HgL1HKhy8+ZSXvJCotjvNdha8L1qWPJJUXDyIGP+8KUOsvP8ImTz9j0u9N7IFvIYPwrsMTrO80h3wPIrXHTwnvNW8BFNbPVnxwLzhfsA5Nx0mvfwkq7xgj4G86PLBu5rkEz2cZvo8dDoUvR4V2DxpDEC8oFiVvfewqTyWVIA8GAz3PN2oWz3Vlj08MXFcvQskdD2oG6U5vVsXvdnJOTxwgME8lWKJOz+MWzxWKeW8fVq7PLSmkLwTEcO8EDvevGvGbj242Yw8BIujPHZR2jyMdTo8QbaaPeEhqTvhIam8O3XxPDjzijxWeHM8n5l2PWHsGDxZXGG9LQuIPZZUgL28Mdg76Lr5PO2sFL2Jeoa8LBkRvG6Oyjurx8q8MQa8PRt3O7xqadc7KtgLu8vvP7wlHrk8bXeEvHd7GbuO/JC5+uOlPGXZQzzJrjo9MKkkvcJygb1gwtm8hslwvMPPGD3v7Rk7h1DHuw+BL7yNdbo79QQEvU+QFDzLJ4i8a8Zuu5GarbxrkxY9nDMivQMEzb1kLR68i8kUPQJvbT0cabI7bsaSPby4rjuK/Gy9kKi2vKfMFjtQp1q8oSBNPYit3rzMhJ+8G6+DOkITMr2HyXA6u+JJPXknv7y5KJs82oNoPAgbNz1E9588hwE5PJ3tULzjBZc85mtrPeG2CL3Ndha93ZEVve8gcj0hpWu8ki+NPBiTzboyjZI8yeaCPY9+d7xipke9bxUhPAQujDnrkN67xMGPPPUp07wZk827TE8PvDPqKbk6UKI8ZR8VPasWWTzy9la8kQXOPCT0+TvCcoE6y5IoPbc2JDpwqoA8jINDPcHrqruib1s9luRvPAbasby25xU8PZEnvCcCpzz71Zw8CyT0vPdFiTmsq7g6ssIivf4WIj3+FiK8lThKOydfPjzzfS28uzFYvEKoEb3SY0E9UsOQu/RvpDxrxu46NkL1vLHCIjzzIJY8vgc9vHdD0bwQFg87BIsjPXn9/7wVOwK90BSzPHmSXzwuIk48dZervOT3jTyIiA+8KeYUvSEjhb0i3TM7yQvSu5yewrqdkLm8RCp4PIrXHT1d3mu8GoVEPWY227wnX7688TyovHOlNLyr8Qk9VWGtPA8kGD3Vlj09zExXvR8/lzqd7VA9hjmBO9t137wgjiU8LiLOui3Tv7t3Ncg8S10YPQ9XcLxahiA9w88YO7ihRL3YbCK90h3wu52QOb235xU9+9Ucveprj7y/PwU9ruw9vM1oDTxfc0u9FTsCPL4VxrypeLw8LT5gu0LbaTyOL2m7zdOtOkEhO72GbNm8PCYHPTw0EL29Wxc8+oaOu1iisj3vIHI80figO3NWJj2WVAA9H3LvvIeWmLxt1Bu9SIezPE+QFL3ag+g8vqqlvVfoA71K1sG8axX9OliUKT34oiC9Hk2gPI0KmrxiEeg8YI8BvZexFzvHX6y75PeNvZ2QOb0tCwi7NHEAvYQrVL2gwzU9Nx0mPcQsMDqdJRk9y7f3vJyewruHXtC8SByTu2zipDxrFf062GyivcYQnryjPAM9Zm6jvELbab3h29e8hQ9CPCzhSD3Ptxu8VfaMvQ6dQbteFrS8JXvQPGwVfTzaUJA65UYcPOTpBL2DYxw8zsUku812lr0fwX09F+enPJOxczpf0OI89cw7vfiUlztcxyW9fZIDPbNXgjynKa48QX7SPACLfz38nVQ86yU+vRHQvbtVBJY8AIt/O6AuVr3Fez49ptqfOgXourtQSsM8u5x4PMo1ET1Z/8m8RUYuPRNXlLzpnmc8P4xbvPsIdb2gfWS9JhAwvW8jqryemXY7gkfmuzcdprxLkPA7YI8BvR/Bfbyw3rQ8qL6NPDTcoDxpRIi8HfAIvQCLfzxnA4M8DdWJO478kLsHzCg9y7f3O6AgzbuEemK8xFH/vLnLA73OjVy8ju4HvWQfFTyA+Ne8MEyNPDtCGTyq/xK8ENA9vKVFQDu7DIm7Xd7rvMBkVLlPtWM6t+eVPCalDz0HlGA92hjIPDbz5rxS9mg8nhcQvb8/Bb229R471TmmvLvUwLvM4bY8DdUJvLa9Vj0eqje7ucuDvMSJR7yYyN283Py1PHfmubzQFLM84zjvO+NUJbzI9Is8XVwFPWMD3zqXa0a897ApvZsJ4zwZKC08DQhiPbKKWrx42DC9Hj8XvQM8FTsduEC9E1cUPVewu7pA9/u7fZIDve0JrDmT6bs8M6RYvYeWmLz3eGG7FoqQPbg2pLyoTn250H/TPNt13zskiVm8yLzDvAbasTwCp7W8VlMkPTCpJDt+4RG9kQVOO1F0gry+FUa9uhoSvYhCPj3c/DU8TN/+PBE73jtzpbQ8fFo7PP8ImTrAjpM5ja2CPF4WNLxSICg9v5ycPLUDKD3bQge9ju4HPfDfkLvyU2682ruwvAS+e7vpnme8zjDFOoVHCr15yqe8hwE5PMo1kby+gOY7ZtnDvMmuOryztBk9mhfsuyFW3by5y4O8eNgwvKr/EjuFemK9+KIgPZZUAL3L7z88P3UVvTCppLxBtho8/ztxPOqeZ7tHAN27CQ2uPKI8AzxgZUI8bo5KPU1BBjzpM0e8JFaBu1t4l7wywGq8gPjXPCCOpbzWUGy8ssIiO2r+tjzeBfO85PcNPYJH5rsXfIe7zXYWPINjHD0d8Ag9E7QrvU2sprtX6IM8Tvs0PHFkLz2LkUy68N+QOwrxmzu3RK28/ztxvOYO1Du8nPi5lrEXPCFW3Tm1YL+8JPT5PAuUBLwAtT484MSRvDXOl7zFs4a7r1fevPmUlzxTtYe7Mo2SPHd7mTts4qQ8fNPkPMvvv7zBgAq94zhvuUNiwDzvIPK7g5Z0u6vHSjynTv281oi0PHeu8bzYXhk81x0UvF3e6zx6hNY8a8buu4it3jw7ClE93wVzvAJKnjznXeK8P3WVu70jTzxwgEG9EsK0vZaxF7wPjzi9wwLxvPUp07yNChq9/bmKvKvHSrwDmSw97Be1u3CqgLx0OpS8mV09PRSmIj0Qpn67aqEfvQfMKDxh7Bi83j07vI8hYLwqNaM8txpuPI0vaTz02sS829J2vI4vaT2fCYe8xMEPPal4PDwZy5W7hjmBPW+4ibyGpKG7jra/O66drzpBITu9MXHcO2PQhrzBgIo8yyeIO8NRfzxNCT68D+xPu0LN4Lw1Obg8tvUevDyfMLp4J786ne1QPMJyAb1ovbE8wPmzO0nkSjxTtYe8dQJMu6zjgDudkLk8U7UHvMnmgjoVA7q7/wgZPNzS9rrpeZi8nUpovHvhbTt/0wi9Nc6XO30U6rp3HgK9uf7bvHQ6FLycZno85PeNvFYpZTsRCIa8VinlPC0+YLzePTu89TdcPGzipLyautQ6rvrGPLpNarwCEtY8BC6MPIVHCrsnJ3a82DTauyNkirsIvh+9dDoUPM9aBDzegww9YqZHvHoZNj2SVNy7lc2pvJN+G7xUEp+9voDmPO0JrLxsFX28cXI4vLrw0jzcnx68RPcfPNYrHbymKS69Am9tO89aBD3XHZQ8pv9uPKpqMz1VzM08dDqUu20/vLx0Asy8FQM6POEToLzrkF480XHKuivKgrx8/aM8gX8uPJ+Z9rvHyky86E9ZPOl5GL1k9VU8//qPPMWzBr08n7A5rIF5u/878bxvuIm7BL77PHN7dTwX56c8RgDdvJd5Tzw97r67zsUkOi63LbvLJwg8pPaxvMXm3jy/cl08yjURvamwBD0QO94842KuPNsKP7xu+Wq768imPAUgAzxDmoi8VnhzPHsLrbv1YRu9kAVOvH3vmjsahUS9y0zXu/iiIDusgfm7+ZSXvC12qLscabK8xMEPO/BKMTz/O/E8jrY/PGdgGr01ls+8o8zyO8pa4Dwjl2K8voBmvQkNrjn9uYq8GfBkPcYClbtcx6W85RzdPFz6fbwicpM8xjXtPP/6jzwke1A8fuERvaXoqLySL428bBX9vJPpuzze4CO733WDu7nLgztrxu67T1jMPERGrjwIhlc7aQzAvCtacrzCcgE9qIZFO9vSdrx6Gba89BINPKcprrvAVsu8TxL7PLxpoDuDlvS8xjXtPBZSSD0ke1A8MY0SO12P3bxNdF48XY9dPOl5mDxO+7S6cBUhvbxpoDzoeRi83J8ePbFzlDuP7ge8YMJZO3X0QrrHJ+Q7d0PRu2qhnzzN0y29jra/vEXpFr0RCIa8DLlTvFTa1rzU3I48QC9EPYr87Dyrx8q8V0UbvRxpMrzicDe7dDoUO0bbjbzOm+U8sXMUPZgzfjzLt3e8Vinlu8Y17TwRiuy8PCYHvSqSurvhtoi80vigPPZTkjyvgR08NohGvRMRw7wZ8GS8vqqlvPBKMbz1vjK86Lp5OqcpLjyJn1U96msPPXOzvbxNdN47RaPFPKG1LLuJQj48QX5SPHEs5zygZh49b7gJvCOXYrtKa6E82AGCPcUep7tKyLi7PSYHPFlc4Tze4KM8SIczPZnIXTwUSYs8Gwwbu8Bk1Ly9I885vgc9vKI8g7uP7ge8cN1YPDGNEjxvuIk8Yt4PvW7Gkrz0Eg28koykPGvwLb2rJGK8DE4zO4yDQ7zS+KC8gPjXvO+QAr2DwLM7iPOvPLGYYz3+FiK8a5MWPS0+4LxZ/0m7ZIo1PHt2TbzfdYO8mMjdPHhtELx3Q9E8nd9HO9KNgDzL7z88asbuvCqgw7yYo448VlOkugAgX7vxPKg83J8ePM3TrbufPN88hpYYvArV5TtS9mg95UYcvKOZGj13Q1G92NdCPHN79Tx5J788UZlRPCUeOTtHKhy96eQ4PfN9LT1kirU8+vGuvIrXnbt1Asw6b7iJvEcqHLy3Gu46NHEAPPMgFry1A6i7n3QnPDhstLxRmVG8PqjtPEF+0rxVYa07BL57PIvJFLyUlWE8UHSCu5GaLT3/O3E88TwoPEWxTr0T2Xo7GNkevDEGvDxsFf08WfHAvCOXYjx35rm8a5MWPZoXbLyCcSW9cXI4vbFlC71g+iE8r4+mOoR6YrzdqFu9gSIXvYF/Ljwv3Hy8YVc5vJL3RDwavYy8h1BHvNyfHj0oUbW8r7R1OyNkCr3gxBG9pTe3vOS/xbvJC1K7nDOivN2Rlbz4/ze8BFNbO6dO/TyJQj68+KIgvOdd4jwN1Qk9MvgyvHDd2DwEvnu87awUu8PPmLxEVDc9I5fiPIiIjzzrJT48II4lPKeUzjvtCay7IYAcPNflSzuFsiq8II6lvI9ZKD1ahiC7oqcjvRWYGT2lfYi8zjBFPWPQhjzicLe829J2vHoZtruwO0w8DjIhvGDC2byOL2k7UZnRvINjHLtxcji8pqLXOKDDtT0Ai3+7LsU2vDBMDT0duMA8YMLZvH/TiLua5JM8BC6MPF8terw9g568a1tOO6yBeTw6UCI8OAGUPGLeD7x975q95If9vHJ79TqjPIO8eNiwu9NsfryxO0w7iyYsvU2sJryhp6O8VVOkO7mTO719kgM8c7M9PcmuOj2SL407FTuCO+l5mDyWsRe8XGqOvJpPtLw6GNq8FKaivLihxDyVzSm85jiTPO8gcjyhWJU71+VLPWSKtTyxmOM7n9G+PEprobs+4LU8s+dxvEy6r7zZyTm8+gh1vERUtzxpryi7PDSQvHCAwTyOxEg9XbkcPfm55jucyIG829L2vMpo6TvTVbg8cvkOPJoXbLw5JuM7yEMaPONiLjyNCpo6UujfPBs/8zu0bki8+3iFPB4/F71mEQy88dGHPPCnSLv/CBk9BC6MOu2slLzUbP68K1pyPHdD0buaF2y8FzY2PE77tDrIvMM8cWQvO86bZbySYuU7Hqq3PMj0C7wYDHc8j+6HPFz6/TvLkii9+KIgO4xL+7xa8UC8qlyqO89aBD1oUpE8QMSjuH7hkTt/BuG81+XLvDhstLxUEh+7Ex/MvJyQObwIGze9mwnjPJzIgTyMGKO8TQk+umgayTxTfb87UIKLvTbAjjwRimw8CXjOvFYpZTy+TQ69SIezvConGjyq1dM8a/CtPF6BVLzqa4+7f2N4PEzffjv1BIQ4Jtjnur6qJbyiSow8eG2QPLUDKLz/+g+87p4LvW13hLwUYFG8rIF5Oeme57y6hTK8jyFgvNId8Lx1lys8xbMGunknvztrxm684nC3PKvHSjrBgAq902z+uzeyBbylfYi8WU5YPJN+m7zSY8G7rE4hvK1AmLw+0iy8NKTYO+gcAT2kixE6RgDdvH8GYTzYDws9dx4CvWMD37yQE1c85Q5UOkF+0rz3G0o80x1wOSV70DwZy5W8/3M5O+/tmbwG2rG8HhVYvKPMcjxAxCM83J8ePK+PpjxmbqO84nC3upzIAb3Kkig8JbMYPf/6j7ujzPI8uuJJOd/SmrlYNxK8ymhpvVCCi7yBIpc82oPovPVhG72/PwW8vVsXvNGbibxfCKu7qxbZu9d6q7sk9Pm8SyVQPAxOs7zeS8S739KaPOgcAT2Jn9U8FTsCPMJIQr3Fe748DceAu5aHWDznlao53YMMvBmTTbx/04i7gnGlu55KaDve4KM7VASWu0AvxDvizU68cWQvPX5MMjwuaB+8y7d3PF1chTx74W05InKTPKOZmrvTsk+9oVgVvdaItLxg+qG7IYCcPIo0tTvUpMa8+ZQXPVE8urxBIbs6si1DPGgaybzmKoq8v3LdO2/rYTzNaI27SQ4KPcfKTLz7CHW90XFKvC12KLxPEns8CXhOO3oZNj2/ct26VinlOyNkCr0shLG8mfKcu4Bj+LwZKC08QVmDu+PNTr3h6WA7k7Fzuy5oHzx0OpS8PDSQPKDDNTg0R8G8nkroPDCpJDxmEQw5DySYu2Y2W7yAjbe72J96PELb6TuRPRY8mV29PHmE1julRcC7JR45PPRvJLtGDma8U7WHvBQRwzmtQJi81TkmPNgPC7xQp1o89r4yvTnJy7sI8Xe6/wiZu6kya7ujzPK7z1qEPGXnzDypeDw8D4GvvOvIJjthSTC8oViVvHDPTzw1ls883uCjvKsW2TsF6Do85wDLu86NXDwUpqI7UovIPBaKEDyu7D08I2SKO4Qr1LwuxTY8o5maO9oYSL0wqaS8GhqkOh5ybzvgxJG8lEZTu9Pql7xYlCk8XGoOOuEToLz1YRs7FoqQPMyEH7tGDmY8h1BHvEbbjTzo8kE8zIQfPCcCJz3zony8nSWZO9FxSrw2HSY89njhO3PrhbxPkBQ877VRvPhq2LxNrCa9QMQjPb5Njr2nlM66I2QKvVy5HLyvJAa9P5pkPB5NIL2DY5y8PcT/uy4w1zuePN+51lBsvB/B/TwHlOA7aXfgvEF+Ujt8xVu94H5AvOi6+Ts2wA68e+HtPEY4pTyWvyA8W0DPvKxOoTyvjya7J1E1vHWXKz02QvW629J2vMY17Tz4DUE8j/KYPEw08zuWKhC9l9advKswTjse1Q69IYZPu4jUiDtyuZa7DGaqvJdJqjzxvk680N97vA2AET18t4I9FcLuO/VFBbsFLjM9PkxFOgbA2Tw5Z7Y7NYKnPMtoxrz+9bs88DFbvfYWaj1x+NS8WGvgPCe5kz36EK067TJlO4gy4bwq2C08oTLiu/WJdjxZLKI81yynvD4NB708Lau8YdzYvMOJdLtlL0G9s5wTu/AXdLyt9kK8/vpuvPCfND26Rxe7/vpuPAu/Tz2DYoa8Wor6PJr6ajqY9Tc9cg2JvdKGVr04uyi9BbumPB8z5zyHR5W8PNSFPY9q2Dz/nJa8EhGuvCz8+jw+3mu8kkUBO/1oSD3lgi685hRVOmvAXT1m8II9k2QbvRcqi7xjtwG9pUYMO08pgzzR3/u7Uab1u87VFb0DnAw9eLgMvLcOFr1Tm4W8ly9DvP5te73JSay8p77LPDv5XDsyvLI80A6XPYy+yrqSvUC9tmIIvdXecT14vT+9gzNrvfJlKTzItwU9lkkqO0T3yD0GSBq9v9OAvH7wA71D2C49tw4WO0mdmbqlMVg5uUcXvbWm+buDpve9N7uoPBDYLDzxvs48WGtguzpsaT05DpE88DFbPIxGC7xKtwA9iyykuz74UrxSZzc8mpwSPAMpADzaDAO7gGhDPen0sLwfZzU8SZ2ZPB0PGj3GaVC7Bw6PvHVLPbw9R5K8mE5dum2bBr2aoUU6/ikKvMQwTz1uRxQ88EYPvZr6aryfbO28r6JQvDYPGz1Go1Y8bJuGu6orm73z8hy9jb5KvEGk4DvA8hq832nRPAhs5zyQnia94zT5vFWgODwG1Q29wfdNvMkvRbxig7O86Gc9O5uH3jwQS7m8V2atPFa6n7zG3Fw72L5Nva3xj7w4Tc+8GC++vHi9vzy+LKY8LIS7vFHaQzxNgqi7zmKJvfq3hzyAnBE85NvTPIagOj27TMo88wyEvUcwyjxWpeu7DhI4vTjaQj0xL788OWc2PBO4iDuxweq6Bw6PPMvbUjwF1Y07xL3CvNBnPD2O8hg9kJ4mPGuBHz3M+uw8aG11PSGbAz3I+/a8WkYJPfASwTyWiOg7BsDZPOCdHzzwF3S9a01RPfsvR73DFug8ng6VOxpjDL1vTEe8Jdk3PP6cFj2fgaG8PmasPazXqLyuECo96psLvGbwAr2I2bs8AmOLOa32Qrx23eO8whG1PIaG0zzu8yY9uPnhvCplob1ZpOG8t9pHvIpr4joIDo87TWhBO/y8urwH2sC6ZS9BvejAYjzoSKO7aaHDu/G+zryZ+uo8CBPCvJArmr1WR5O8LRbiPHO5lj3I+3a8SMJwPYNiBj3gFV+9Y4hmuxDYLLrWmgC98DFbPZophryigJc6vrmZt3H41LxapGG8IGe1PI8MAL1uLa08EFDsPOwtMj3f8ZE8lqLPPBGEurzfT+o87WEAPWz0q7w9Mt68jbmXvMyCLT2jDYs8DYVEvH9jkDxgSrI832lRPZFFgbzLTl+97fOmO6ZGjLxs9Cu7jIr8PKgRtLw3SBw7WrkVu56BIbyDYgY9JywgPdPUizxaLKI6gIIqPC7xirsCD5k7ndUTPZX7dDu5uqM8/m37PA2AkTwuSjA9U5uFOqbYMr3dMFA8FxAkuw8snzxhZJk6zPU5ve+agbyMF/C7rp0dvdCBozyvKpG8aA+dOidGh7yXvLa8RYQ8PBMRLr1ApOA8q6NavJCeJjya+uo7LPz6vAW7JjuDYoa7ymMTOwHbyrynw/47w4l0PV33ybwWgzC9t/QuPPr7+LtN9TQ89GrcuwgTwjzrhle8kLgNvPq3B73oM2+8VjLfO2ZOWzzHnR693mlRPFq5lT3EvUK8A21xPHNGCr35aVK86E3WvLmG1bnwMVs9bYbSPCCBHD01bXM9c7kWvRycDbx4niU9hYEgvFNnN73DiXQ8WfhTPOoOGDzMbXk87UzMPDzUhTnOLjs9UTNpO3p+Ab2/0wC9FvEJvAOcDL1mY488DGaqvF9KMrwMUXY8+vt4uxXxCTrUTEu9o1H8OS9ufbwQ8pM7uqVvvGzfdzwOn6s8OMBbvO4Njr0nuZO9Mi8/PdwRNrx3hD68X72+uyyEuz0L85089rgRPMYQKz3pgaQ7W75IvLMPIL2goDu9HqbzPJFFAb1SZzc8imavvWiH3LwSnqG8BaE/OzYpAj019TO9Ep6hO3/WnLxGuAo9A23xvIabhzzy8hw8A/pkva1pT73DFmi83/ZEvBrBZL0Juhw9GKJKPdjTgbus16g8JWarvFUtrLwMZqq7z9WVPHo1/zyfbO08Ixh2vWMqDr0TKxU85E7gvITA3rw14P86LRbiPE8pgzwhhk86rMJ0veLWoLxXZq28MkmmPN7xETwtSjA8baC5OjfVD72lLCU7w0WDO1SguL3a3Wc9sfW4PCyJbjwkv1A8e9xZvRZkljy+LCa9PvMfPa1+Az1ehL08P2vfPJ7aRj2ZnJI7GcHkvFCmdTxw2To9iEzIvBb2PL2Dpvc8uYZVvMm3hbrWmgA9WzHVPMZ+hD239C68dt3jPFoxVbplY4876NWWOhtoP73Avsy9X4lwvb65GTz1RYW7NvpmvM2hx7xeo1c8mfrqvPr7eLwRUOw6Kd3gvIPVkrpquyq8HSmBvOyl8TyfDpU8Q2Uiu56biLtJg7I8HaFAvNZr5bo42sK8evENvaLZPL1CMVS9tUghvXrxDTxYa2C8TdvNPPoVYDy3Zzs7IZuDvD0yXjuigJe8YhCnvCi+xrqtT+i7jku+PO+aAT173Fk9Jdk3PfN/ELwNDQU9sNYevbeBIr1MSac81mvlvA4xUrzafw89/Ly6O+acFT3LTl+88Rf0ukdKsbsz8AC9tw6WPFHaQ7snuZM8d54lO9/xkbzSR5g8vor+PHNGijzWhcy7Pb9RvdVR/jw8Las8fjT1PNe5mryNpGO9LBEvvYCcETzV8yW9YL2+PGDxDDv+bfu8Vrofvf1oyLpx3u07K54ivcDymrzHECu8l9adPfjcXjveadE76E3WPLE0dzvEMM+8zkgivYegujwS90a9cFH6PE1oQbwIbOe8ejV/OUyn/7zAS0C9A/rkvH7wAz2Y8IQ8KfIUPafYsjtT9Cq7G2i/uw1r3bxh3Fg7UTNpOx/VjrzWa+U8GmMMPK1P6Dx1S727RhZjPNZrZbzwuRu8v7mZvNrdZ7zy2LW8mPCEOYGhxLwg9Ki8KLkTPLfaR71ALKE7v6TlvJArGrzYvk09mZySPKBHlrzdo9y8ly/DPG353jvMgi29+H4GPX0qj7yn2LI8/m37vMmi0btoKQQ9aRRQPB27pzvNuy67sGMSPA2fKzzwhc02K2rUPOROYDwkMl28rEo1vHtpzbz316u8qFDyuwUus7zMbXm6bGe4PA34UD0lZqu84BAsPf31u7udTVM8V9k5vNpQ9DtifoA9/WMVvYgyYbv5naA8TfU0PDacjj128pe8cfhUPHlKszzXn7O8uRNJvOjVljsq3WC80WzvO3He7Ti2wOC8FvGJPDD7cLw14H88VtSGvFn4U7wD+uS8Y/tyvKfYMjyvL0Q8a8BdPAj5WrxhaUw8N0gcPe7zprynf428stvROtaaAD0RhDq88Rd0OiwrFru6LTC9moIrPHDzobzmnBU9KBfsuzfVjzzdMFA8L/GKOhIRrjyA9TY9G05YvKHUCT1gvT69pZ+xvKpFgrwALz29JyygvSeFxbw/gJO8g9WSvG35XrxlSai86fSwvEjCcDqpnqc8LIQ7vP8uPbxs33e8Uw6SPA65Ej2Pati8rhAqvY9/jDwM2bY7YEqyvHyDNLwB20q7iKVtPEjCcDz6EC28iKVtvEy8Mz1+Sam8v6TlPBHDeDu/S8C7Kt1gPb6kZbxI8Qs8hYGgO7ebibzV2T693k9qPKFMSbzgKhM9L09jugDWFzmSZJs8QvKVvMrwBr1jtwE9yS/FO/EX9Lt4o1g8RGpVPFChQr2IRxU8CIEbO/T3Tzykhcq83/ZEvN+DuLtFETA8UEgdOzkOkbuemwg9+WnSuz4NBztdata89kWFvH7BaDw1gqe84CqTPJjwhLufgaG8EFDsvOzUjLppFFA8PVH4usYQqzvi1qC80YbWPOwYfjswKgy8IrqdOS9pSrxMY467SGnLPJuhRbzIKpI7TcFmPBS4CLlNTlq864bXvCik37toKYS8+9ahvExJJ7z7L0c8fIO0O4jZuzxm8IK8fry1vE2CKLyHuqG9RriKPGKDM7yDpne8ZS9BvDmBnTyphEC8rNcoPH/1trs2LjW9zaFHPPmdID2dTVO8KUu6OyGbAz0tMEk8Ag+ZPCwRr7y+Ej+9xtxcPI2+yryOS748QCyhvEEx1LwHZ7Q7aIIpPOAqE7tsbOu6Y27/PCRMRL3Avky7grurPBtO2LxC2K68rrcEO3udm7xDf4m8R0qxPPN/EDz8vLo86NpJuz1ReDwUFmG7Jdm3vHpP5jpIT2Q6FUovvTPwgDzNnJQ8nWKHvIOm9zz5iOw8lojoPNrdZ7jUv1e8k2QbPX2iTrwVSq+8dWWkO72fMrxCvke9jbmXvCNHEbt28pe8dKTivEExVLuk+Fa8M9aZuoNihrs9Ml48v9MAvNJHmDsfwFo9fRXbu8DYM73t2b+5wNizPEkQpjxW1Aa8BbsmvTzUBTwkv1C80Gc8PSwRL7xogim61poAPVfzoLwZ1pg8V/OgPLVIIT0nivg71oAZvWFpTLzDRQO8tw4Wvcxt+Tx8twK8pks/uZAWZrzmKYm84beGPMi3BT2Dpve7rhCqvMZkHby3mwk9Bk1NvFoX7rlCZaK8zaHHO9RmsrpmYw+83tzdO2gphLs4Zza98EaPO0kQpjyMnzA8/vruO0c1/bxquyo82vIbPGpihTyoUPI8UdrDvD5mLD1Jg7K8K/dHPHpkGrsYiOO7zmIJvdK6JLx1UPA7EPKTvJwuObyjgBe9vp+yvJAW5rxs+d43DYVEvN1FhLxWpWu7J7kTPfui0zzJY5O83tcqvVoXbjt8gzQ83mSeu5e8troMUXY8rX4DPY2+Sjyemwg8JoCSvGQVWjzJYxO9/pwWvZn1NzzV3nG8CJuCPANtcTzoZ7087KXxvNryG7y+F3K7CGxnvP71u7woSzo7rioRu9lLwbn+gi89MG79PFQTxbxVup85+GnSPPqI7LsDgiU7Q1DuPD9r3zweLrQ8ULspPFdMRrzR+eI7Yn6APfC5m7uYTl28cExHO5djET0KR5A8eUqzPNO6pLpN1po8MryyO30V27yYYxE8EyuVup1nOrxt+V48KBdsPPZFhby9Er87MBClvO2/2LwDKYC8LTDJPC7xCr2MEr27XyuYPHrC8rwGTc27qAwBvQDWF72ka2M8cd7tO9VmMj1DUO65CIbOPLSH37yADx68I6VpPC7cVrwwEKU5RzBKPZ1nuru1Lro8qPIZu8NFgzt6T+a764bXvNCBI73BDII8+H4GutwRNjt23eM8nt/5O37BaDzChEE9wH+OvCNHkTyfbO08CZsCPFm5lTwavDG9WPMgPNp/jzzGaVA8edemvDJJJjyDYga92ysdPa1pTz3Dnig9CGxnPKHUCbxZLKI7zbsuO9nymzxNwWY8sWhFPHnXpjx7nZs7hflfuiItqrzWmgC8kJ6mPHXYsLzWa+U6TWhBvF8rmLwg9Cg8Ep6hOy7XIz35aVI8QUu7PI7YMb2ADx68TU5aPIJInzwmgJI8Y7eBuwj0p7t9twK9xDDPPAgTQjsV8Yk7ZmMPvd1FBL3PZzw85imJvMyCrbx4RQC9yLcFvRqn/TtMNPO8NNvMu8idHrs2+ma8DkYGvMsPoTyY8IS8pIVKPMH3zbwy1pm8hg6UvNsrHTyETVK86Q4YvWj66Lwnn6y8Omxpu56bCD0R90a8mPAEvZuHXjx2fws9kPz+vKujWrnSuqQ79IRDPNryG7ydTVM9AvUxPITaxTu1SKE82Ni0PEa4ijzWmoC8/vpuPCwrFrxw86G7cd7tu5sUUj1jiOY5EFBsvWVJKD17ac28sKLQPGzfdzsu1yO8FvEJvVT5XbsA1hc7GBAkvC7cVrxbMdU7pjFYvI9qWDtI3Ne7wgwCu1zYrz3qmwu6NpyOvFqK+jzvDY48IrqdvDTbTLz3ZJ88X4nwPCwRL7yrMM67M/AAvMEMgjx+YxC7iywkPA6FxLx2f4u9NeB/vDrfdTs5bOm8cPOhOzVt87x7EKi7XrgLvbFoxbwySaa8Ny61PDTbTL0hm4M8Ot91PYyK/DxI9r48CkcQuiRMxDxsgR+7pRI+vFAUz7tXgJS8p9iyvEoqjTwxL7+7m4feO2zf9zvaUHS8qFByPYMuODu6LTC6JWYrO+xHGbxMp388rWlPvAUus7xnaEI88wwEvMS9wjxv2Tq809SLPEoQJjyWiGg9Z5wQPWO3ATwWT+K83UWEvLH1uDtSZ7c8NhROvNGGVryHR5U86fSwPE1OWjyIMuE78KTnPJsU0jvhvLm7pPhWPOr0ML2t3Fu81VH+PLUuuru/pOU8p9gyvK63BL0UMEi9Fk9iPE3BZrwKLSm8kYlyOmiCKbztTEw8YWnMuznaQryGDhQ8zIItPNyeKTy32sc8rPEPPOzUDDzXuRq9r7y3u3eEvrx0MVY7RzV9vEy8szz+bfs8en4Bu/n2RTwtK5a8YhCnvAsyXLyY1h28ny0vvPYW6rkRfwe9+H6GPB7VDrvYMdq8yvAGPB/Vjjwp8pQ7lGlOvWP78jz6+3g7l9advHGFyLtDUG68DyyfvP1oyDzwMds8bYZSPAWhv7svZBc6jBfwPNDayDn++m66JvjRuxXXorwtK5Y8ovOjPLxmMbxFhLy85fU6vTAqDLxh3Fi8hxh6vFHaQ7zjwWy8kkq0uw+5krw+TMU8wiucO8IrHDpvR5S8qFByPJPXpzkjuh29MCqMvNK6pLwG1Y28tjNtPOgz77xD90i57NQMvP71u7wPMdK8e50bOl6EvTxpu6o77TLlvBo08TsiE0M9aBTQvO1hAL31Ebc8/fW7u6tknLxmTts8zJwUOzkOkTx4o9i7N6FBPCgX7LwA1he9X0oyuwP65Du+in481L9XO+YpiTwSnqG7zk3VuzAQJb3EvUK7cFH6PI5/DLxKL0A77vOmvJsUUrt1w3y8Uw6SvT7ZuLzWgJm6TikDvQ6FxLxvTEe8gkgfvET3SLyKgBY7wWpauynYrby/pOW8gi44PBC+xbwj1AS7eb0/PP1oyDu/uZk8d4S+OsJqWr04wFs9w7gPu/YW6jtFniO899ervJC4Db2i86O7ndpGvBq8MTyTfoI7vrkZu0LyFTxDw/q74PZEPZFFgTwXEKS67mazPLoY/DvtZjM7NikCPUN/Cbz4g7m8+H4GvdGbirzK8Ia8L9ejPG2bhjxw86G8dhEyPad/jbwI+do8wH8OO2O3gbw2D5u8/g8jPPBGjzz+KQq9QIXGPJJKtLu88yS9lp0cvezUDLw9TEU8336FvGBKMj0cKQG8iyyku03wAb2Ipe28N6HBO5jwhLwXaUm7FDDIu84uO72NMVc7+reHvI/3SzyAgqq8t5sJPYIuuLtXgJS84CqTPPvWoTvht4Y7fsHoO4PVkjs0Tlm6L/Y9PP76bjtI3Fc8eEUAPaT4Vry9hcu7JxK5PF9KMjxALCG892Qfvd5knjsewNq6fby1Owq6HLwdnI08jmpYvKgMgbs9Ufi6GdaYuz1R+DqNpGO8DfjQPCnylDwM3uk8mGMRvEqDsrv+bXu8dcP8u3XYMDzPZzw8kko0vAtHkDvKYxM8ZKLNOsZp0DzCDII4Uw6SPDrfdTtinZo82ysdPLoYfLwdoUA8CGznusDyGr11Sz084/CHPDVoQLsWT+K6bGzrOoWBoLsK1IM8VRj4u1UYeLy6GHw7bi2tPJcvQ7ybSKA8ddgwvN2jXDsfYoI8zIKtO45/DD3i1iC8ONUPPIK7K7x4niU87xLBOu1MzLwsniK7/g8jvOn0sLxZn6685i48PQrUg72WiGg7lNzavKUsJbs+gBO9tw6WPCueIr1c8ha8IpsDO3vxjTr2K568xfEQuwze6TxMTto6rX4DvXENCTyguiK9iL/UvNyeqbyDYoa89riRPAXVDTptLS08TcHmvGzfd7ywNHe8Jdm3vFLaQz3Nh+C8IqC2vOdIozx9L0I8c+VoPNarjzuTyDO9IgELPQfltDwyARO8MB7WvN6rEzwNAvy8QR5evObIWzxTrMu8elYMvTVzLz1hV3s9qAFLPL2rg7t8yKg8hQG6uoQBujyjViC824/IPIDIKjy8Vqw813ICvb6PujxKyBC9vx0gPcqPwD1BV2u7ljrQu3DIIr3UHSo6+TmFPKvkCDoicyY91DruvGflYr0rrDi8Kzodvdw68rxorFW9xVawPJHldjt/jxy8QKxCvJM6zzx6yKe8+asgPMM65jxjyJy8TzquPO3IXrwdrDE9lFaYvZY6UL0YyfO8zeSYPAwexTu+rP67mKxsPXpWjDwdOha9Xo8MvUblUrzhj0u7sQHQOlBzPD3q5Ka8+6uhvBQ6kj0YOpQ92KuQvIGPHbyUrGq9hjpIuf/kMDzoAWq8GAEGOsNWL70WV1c8FuW7vAtzG72UrGq8CMnrvFxzwrxJjwK8neV8PFZzP7zwVkU8W8iYPUkBHrt7c1G9dY8XvRFzHj2DOke9VuXavNgdrDxlyJ08DB5Fu7rkjz0OrCq9iKzkOjABEr3o5KU976sbPSBzJbzVcoE5rzpcvQNXTjw7Htu9cjq/PNw68jpYc0A9o1YgOxceSj0xOiC86uSmPL5WrTuDHQM9JOXCuQ+Q4bzEj708EwEEvUc6qrrVcgG9SMgPPSQBDLvzOQI8sR0ZPZePJz3rHbU7Jcl5vJ6Pq7y1c2y8m1acOzdzsLztyN68tOSMPMXIyzxnVgO8hTrIvPCP0ryV5fi8oKzwPOpyCz2rc+g8dsglvAUCeL0a5T295x2zu5SsajtdV3m8e6zePJSs6jxHj4G8M8iFvYQBOjz/5DC9ho8fPPhyErzgVr271DpuPIusZj37yGW8UzqwPDABErypj7C8aVf/vIzl9LtUV/W8CqwovcnITTxUyBU8vAFVPNQdKrxBV2s8ZB5vvVk6szxr5eQ8x6sIPberAD2wyME8fwE4vVwBpzxHAR084AFmvdAdKD0JV9E8h1YSPEuPgzzQqwy7qFYiPTPIBT2Ec9U80KsMvfBWRT2yyEI9PqzBO/gB8rv2j1W7yh0lPTSQ8zySj6W8A3MXPJ/kgjwkkGs8NXMvPXSsWzsW5Tu9CMlrPVDlV73XAeI8kMgxO/U6/rzCj7y81shTPKU6Vz06rD+94XKHPdVz/LwTkOM82B0svHjl6rwhHs88sx2aOyJzJjzNc3i9Icn3PBTJ8Ty4AVM9fjpFvYvIr72NjyK9FR7JvEw6LTwD5TK77HIMvD46Jrwf5T88IeXAO2ge8TzBqwU8ZVf9u3UBs7wqcyo9Z1YDvWSPD70Dcxe8zo/CO28BMD1GOiq7gOVuPejkpTzwAW69KgEPvZXItLzHqwi9eMgmPTiQ9byZ5Xo5ZTq5O/pyE712yKW8SMiPPNCPQ729yMc7yVayOxNznzylAco844/MPGge8bxf5d479VbHPLJWJ72gj6y8f6zgvIWPHz3q5CY8wuQTO5qPqTw6Hts8JJBrPQ5znLzW5By9wAHXO0NztrySVhc8eFYLPRisLryuAc478R04vFE6r7wcV9o8MTqgPK8Bzzx+yCk8CB5DvAHlMTyUyLM7V48JPaCs8LsmAY08OciIPQkC+jvtOno9D5BhO1/IGr2nj688Ux5nPPurIT0ocyk9psi8vHzlbDzBHaG7i8ivvDg6ozzrqxm9rqz2O0k6K71wyCK8RjqqPMwdJrzpOng8nB0PvOBWPTyrOlo82h2tvK0dl7xZyJc7gzrHvHtzUbzrHbU8GeU8PQnlNbwxkPG8aDo6PKJzYzw2AZW6UFdzu/c5BD31qx68wasFOpvkgL32j9U5QQEaPExzujzzVsa8x+QVPCPlwTyEyKy4hTrIPIJz1LxErMS8iOXyvJlWG7wdAQk9jAG+PJSsaj2fyDk9qjpavR1XWrxJAR499AHwupDIsbxvATA7E6ysOrE6XbwpOhw9QDonPW8BMDswARI9OFdnPCoBD70J5TW7GeW8u48dCb375C49sR0ZvU7IErlPrMk83R0uPHke+TviqxW9bQGvPDAeVrvs5Kc81Va4vDg6ozx1Hnc8fFaNvEWPgL0o5cS9GFfYPPFWxTpujxQ8RsiOvBUBhT0Rc5481h0rPAg6DD1DyAw9CMlrPMRzdLzUOu68UuVYPAQ6Cr2KAb08TFdxvRDJ77zMAV286OSlPCwe1DyaOlK9qx2WPJwdD7v0j1Q9nDrTvBnlvDxmrNS7wOSSvO06er1PHuW8+I9WvENztrx2OkE9TFdxPc9WNbspyIA9Ph7dvOsdNbxCOqi7eMgmvHAe9TwZAYc891ZIvVesTb19j5s8V6zNvOfIW70TAYS8oeX+PONyCDyTOs+5DMltvfE6/Ds9kPe8VMiVPDE6ILzyco+6BqymuoGPHb1iASq8zh0nvH2Pm712OkE9DwGCPEGQ+bg0kPM8y+SXvOcdszzrHTW9MKw6Pd9yBrtDczY9UaxKPIpzWD1cHmu8geXuvIZWEj3ZHSw9elYMvXlz0LyUVhg9esinuyxzKzw7V+k8KzodPIzldD0rrDi8RFdtPLhz7jzHOmi7aqxWvDsBF707V+m9fY+bvGvlZLo6OiS99AHwvGPInLyrj7G698jjvNw6cryaHQ477FbDOwCsozzsAWy8GlfZvDsBlzwgV9y50B2ovLDkCrzMAV08T4+FPFBXczqsAU28JzobvX7IKb1z5Wi8dqxcvPE5AT0uARG8WOVbPHjlajw7V2m7zeSYu9arD7xUV/W63wHmvBjJ8zsTkGO8bB7zPA+QYTzrj1A98uQqPcfkFTwUV9Y8Ph5dvQVXz7x45eo80DpsvBEeR7uMVhU9Ux5nPEDICz0fOpe7+augvFIBojulOte86HKKOtHI0bvsVkM8Kcl7O5sBRbz0AfA8HB7MPJgdDTyxAdA6a1aFvW46PT0XrK67P3M0PQisp7yjViC9YgEqvRZXVzosc6u8NXOvPBBX1Dv2j9W8dMgkvVE6LzqtHZc86nKLvPgdu7vUHaq7oR2RPVc6MjvbAeQ7EawrPYIdAjyoViK9flaOvZw6Uz02rD291h0rPZ/kgrzOj8K8u8hGPNYdq7wZHku9yAHbu2NWAT2xrPg8x6sIPVM6MLzUyFK8jAG+O0seY7yjViA74Y/LPEjl07tz5eg8UuVYu3ZWijyOjyO94wFoO21zSrxFj4C76HKKvBLlObyoc2a8SDorPNMBYLwyyX+89nIRPJ4dEL3rj9A74OQhvcRz9Ls55Uw9Ux5nvOxyjL0B5TG9K+XFPP6P2TsDV8683h0uPfwdvbzjAWg7sHPqvEhXb7z0j9Q8uY+4PNarDztgHm28FuW7vD9zNDw1yAa8vaz+PBEex7s/c7S8HB7MvNbI07yrHRa9qx2WvNFWtryEAbq7DQEBPEMeXz3mVsC84uQiPWfIHrsUOhI8o1aguwKsJDwzOiE94MhYuzweXLzCjzw82R0sPb+rhD3sAew5L8gDu8M65jy8c/C8iR2Gu7kdnbsMyW27XeVdvIsdBzxJkP28rQHOug5zHL34j9Y8oo8tvPPI4byyyEI8jOV0uprINjx2yCU8A1dOu3kBtbwfOpc8m+SAPPQB8LwdAQm9LZDvO02QfzyMAb48GjqVuzkBljturFi9SQEePCjlxLyajyk9TwEhvO0dtjzhj0s81qsPvEFzNTzJVjI9Y1aBvH5WjjxJczm9wuSTuy4BEb21rPq8WTqzvRCsq7n3yOO85OSjvANXTrzrqxm9Zo8QvXdzTzx/rOA8aXNIu2fIHjrPyNA7nVadPFhzQD0wARK9Lcn9u6mPMLzkAeg6iHPXvChzqbwVAYU84R0wPEEe3jwb5T28peSFvDNzLj1RrEo7qHPmPBvlPTypOtm7YVd7PRTJ8bz1On47KOVEPONyCLwuAZG9fnPSPOVyCbx6yKc7m1acPHFWiDz1OQM8UHO8vACQWrtjVgE9JHMnO+2rGrvUj8U7c48WvGYBLL2MAT48B+W0uzEeVjyM5fS8XgGovNPkGzzGj768rjrcuwisp7wVAQU9lHNdPMYBWrtmjxC9eQG1vGlX/zy+j7q87AFsvFYBJLwerLG7dqxcvbQ6XrxGrEU86x01u1/l3rtyOj+8TY8EPemPz7zAj7s7pB2TPKQdE7w/5c+8k1YYO/ZyEbxnyB6614/GPOjkJTyM5XS8bVYGveWPTbzE5JS8tDpevH0BNzwfOhc8owFJOvU6/jzMq4q8LFdhPEMBG7vqcou9xOSUPB6sMbz75K68kMgxPHVzzjzJyM28/DmGPM4dJzxfyBq9iR2GPDNX5TvuVkQ8sqx4uzPIBT21c2w8ROXRPEsBH70/5c+86nKLPKgBS7yh5f66O3MyvC4BEbw2AZU89HKQO5lzXzygrHA64la+PEzlVb0RrKs83x0vPDasvbzqyN28oKxwOREBA71ZrM67eQE1PJ/kgjwWOhM9U4+HPKcByzvKAdy76sjdvHxWjbwtyf07FKwtvdCPwzzu5Kg7GnOivNw68jun5AY9FXOgPMFWLjyZ5Xq8S48DPZ0BxrxYAaW8y8hOPERXbbyd5fy8c48WvAsBAD0CrCS7BDoKvbkdnTwvOh+9vqx+vEY6Kjzk5KO8elaMvOgB6rsXkOU83sjXO5KPJb1lOjm7NcgGPLwBVTxlOrm7AB6/vBGQ4rv1On68LgERPTNzLjtLHmO8LJDvPBtzIjztOno8FMnxuQFXzTxXj4k8m8g3vQSsJbx1j5e8gazhvC7JfTz/cpW8x8jMvODkIbzs5Ke8qTrZO37IqTxejwy8AKwjvBkBBzwNkOA8wo+8vEuPg7ugrHC8D5DhOzlzMTyyrHi7CVdRu26sWLrC5BO9NeVKPNePRj3Gj748QqzDO8HIybzYHaw8vx2gvKvkiDwBAva70KuMvEDICz1lyJ28UAEhPahWorvTVre88AFuvCmQbbwErCU62DpwvF6PjLyQyLG896ufvJSPJr1I5VO8cVaIvAqsqLx7rN67+h08PWVX/Tz2HTq7Yo8OvZRz3TyHrOQ7QMgLvbBz6ruhVp88mB0NPKsdljuUyLO7bKxXvMQdIj1/Abi8meX6vPvkrrtgc8S8zeSYPIk6SjxQczw8Q3O2vLOPNbyvHRg8HR7NvCiQ7bzRVjY8vlatO4QBOrtnc0c9IgELPTHIBLzs5Ce6XcgZPHcBNLyfAcc6Ah5APbergDxQyBM8suSLPLDIQbxS5Vg673KNPRA6EDzvyF+8zcjPOuDI2DwQOpA8G3MiPJqPqTyeyDg8TZD/O9A6bLwDcxc8kVaXvDIBEzyd5IE8oeQDPHZWCr1Pj4U8mh0OvNzI1rw7V+m77Tr6PMM65ry2rHo8q+SIPDtX6bxMOi25XTq1vNHkmrxO5dY8M8iFOq3kCT1UyBU8i6zmPNHkmrwtyX26Mh5XuwECdrzjj8w8kVYXPdYdq7t9Hvs8c+VovLpWqztQyBO8l48nvX8BOL17c9E8NZDzu1Me5zxrc8m6tXNsPMWrBzzlOnY82lY6vH2PGzxEOik9DZBgO0sBnzzaHS29b1aHPJ4dkDxv5eY8/3KVvKmPsDxKjwK9Zo8QPZSsaj3wAe48gY+dO30e+zxbyJi8eQE1POuP0DyvAU885x2zPKsdFru65A88RQEcvC06Hr0b5T08IAGKPOmrmLtkj4+8OQEWuipzqryHOkk8C+W2O48dCT2AVg89V6zNO72s/rw4OiO7oVYfPC4BETvMHSY8io8hPFBX87uhVp+8KAEOPdnknrqeyDi82DrwvNtyBL2DHYM8fMgoPO+rGztDARu9g4+evBuQZztdrNC87Y/RuwYewrsqAY+8mAHEuyTlwjx+Vo6766uZPPQB8LztHba8eR75O/WrnjxTHue85FY/vAdXULzqVkK7yasJvfc5BD0tOp68OQEWvaHkgzvw5Kk8H1fbvAxX0ju65I8781ZGu0jID7yzjzU9rY+yO8fITDxQc7w7f4+cPJ/kgjx+Vo46/quiPAuQ3zu6AVS8a8ggPEPIDD25q4E7wauFvZ1z4TySc9y8YHNEPKgdlTxBV+s7sQFQvPMdubtmAaw8aDo6vCDlwLwkkOs7keX2vDBzLToS5Tk8kh0KPBesrj285JA8oB0RvekdtDyIc1c8m+SAvC/lx7z3OYQ8fY+bPMQB2bymyLy8JeXCu+yPULo0rDy8iHNXPCrJe7zZ5J69SY+CvLrkD7xOyBK9uDrgOz3lTrzIjz+76asYvSestry0Vqi77x23PDIBk7y1j7Y8L8iDPbBzaj2rj7E8aKzVOxcBBj2uOtw7wzpmvKPkBLydc+G8hHNVvFhzQDzucg27iI+gvEA6pzo/c7S8UnM9PWPl4LsUc5+7OJD1ugoeRDwPAYI8vx2gu+2rGrwXAQa74XKHvCblwzxPHmU70XP6O9A6bDzPVjU9YqxSPPwdPTvT5Ju7KgEPvMM6ZjskAQw8YVaAvCXJeTw1yIY80DpsO+VyiTwkAQy8bI+TPIqPITiTVpi6PDqlPFoBJr0gAQq9IlfdPBOQ47yj5AQ9vzpkuw2Q4Lywc+q89AFwPOZWwLuzj7W8aDo6u2BzRLzH5BU9ZB5vvIEBubyVjya81Va4PCs6HbpnVoM8gTrGO0usRzvXcoK8LHMrOgAev7yEVpE7QDonvAdX0Lp5Hvk8iAE8PG/l5rrdcgW8mKzsvNlyg7x6Vow8UY8GvZodjjtUyJW8OQEWPLLkizzlHbK86AHqurw6YryFHYQ7O8gJvUcBHTz6chO8Xzq2vPo5BTzyj9O8vTrju5Rz3Tx5Hvk8IB7Ou6ePrzyjOlY8aqzWPPTkqzwFcxg7tqx6vNtyhDv6OYU7tFaoPJ3l/Llej4y8ksgyvJY60LwBAna8j6xoOhqsL7xec0M7NeXKu4gBvLuQc9s8qDpZOttyBLxgc0S8/quiPNodrTzIj7+8OJD1uhY6E73AAde87Tr6O44BP7zbj8i6wOQSudjI1Lw7yAm9oI8svCnIAD0JV9E5g4+evMlzdrvMOuo8jx2JvK3kCb1d5V08CB7Du0KQebzWyFM8CB5DvHkBtTvcAeS6IKwyPN3koLwvOp+8vTpjvEdzuLt85ey7/eQvvGKPDjwTkOO7GwGIvAw6Dr3Vc/w6/h0+PSOsNLxn5WI7h4+gu4GPHbz4AXK81shTveU69rwRHsc8GFfYvMaPvrx+c9K8Icl3uxjlvDk7V2k8dqxcvOhWwbw7yAm9bI8TvKCs8LuGc1a8OjqkPECsQjyUVpg8L8iDu9SrDr0xOiA99uSsOwoexDwBAna8SwEfvPwB9Lypj7C76AFqvK8Bzzl2OkE8XB7rOqnkhzxXj4m89I9UPQ5XUzwjrDQ74la+PJYdDLz9cpQ791ZIPAhzmTu0yMO801a3vK3kCbuUVpi8bo8UPUVztzwarC+7jAG+PKhzZryVVhk7/XIUvPxylLzQqwy9BQJ4PNUB4Txaj4q8l1YaPewB7Dnocgq986sdvR86l7zIAds8GJBluhMeSD3N5Bg8cwEyPGsBLr2fyLm8EuW5O0+sSb1ujxS8U4+HvK2PMr1NjwQ7MZBxvDvIiTzEqwa9q48xPZ1zYTxPHmW80B2oO9irELxIV++7vOQQPNNyALz3yGO8Nqy9O2asVLwkAYw8fazfPIQBujw7V+k7Kay3PGiPkTxdrFC8eDrCvLLkCzxO5VY8+8jlu8PISjxmrFQ85Fa/vFePiTx45Wq88TkBu+RWvzuUrOq7inNYPKsdljx8Vg095OSjvL/ISLrpj0+8kVaXvIvIL7xZV3c8rR0XPIfILTzGHaM6XVf5u9lz/jyZjyg87zkAPek6eDyJOso8a8ggu9+PSjwYyXM86uQmO5qPKb0dHs08tjpfvNA6bDwMV9K7sOSKOQHlMTyAc9M7ZVd9u4xzWbtoj5E8O3OyPDoeW7tl5eE8PZD3uwI6ibs9AZi7CKynuxY6kzwHV9C7y+SXvNvkH7zA5BI8hgE7Oggew7zXcoK7KAEOvH7IKb01Hti8OQEWPb5WLb265I87O3OyvLaserzlcgm9t483PKMBSb3Oq4u7dY8XPNrIVbvqVsK8HKwwvLc64Dx7c1E643IIvZnlejyZ5fq8N1fnO7sdnrwcyfW8DB5FPNjI1LvmVkA8zB0mvcKPvLsSOhE8Oh7bvCCsMj3zOYK8pKzyvIkdhjwS5bk8KW5HPOMsnzyCAHW9WD1dPL6KFDxY7A28UtoQvCxWpjzYJkW8kN8dvSyn9TwN26e8jdOfvNLhGD2XV3k9zzX6uoDl5jo2p9A8WlJsvI4GTz3sWSo9YBkZPSYgijyiKiS80AjKvBPPBD3Kwx29lR7LPETIuD1Eqhi8ddD8vBopwLwGwys8oVdUPdUax7s1dKE8GucAvI/Znr2gJKW7TATUvMy6DLwYMtG8KGhIvFQiz7w4pD48wIGDvAvzSD3fERE87G45uj7UWzztfcm8u8BVPfjU8jtH1DY9kO6tvZHQDb3J/129+7xROzCz8zteExq9KSyIPTfa/zs0ksG81k32vAP5bLzEsaC84SagvLfS9zyPG167MLNzvNrqhD3kbl49LXrFvJtj97czfTK9WOyNOzySnDxRB8G7Km7HPB8IDr29t0Q9oTm0vIbKs7wzfTK8IzirvBjhAb2sP468iqmBPN44QrxIFva7epEqPci9Hjyscj29xsYvvb3GVD032n+9a51yvNvwAzzsOwq7KFm4u4OglT0Y4QG90dsZvdAISr30hrU9IDs9PYwAUDshUMy8guJUveh6XDsZ9pC9sX47PLne9bzcIzM8PbC8vNHMCT0DqB28cWQfPUQKeLwsR5Y8Ce1JvPyPIbwlPqo8KZt3vNvwg7trjuK5fNnoPBwgr7uoJAC7HRGfPNUpVz0bGjC8a39SvYedgzsY4YE8Sdq1PAvVqLyJxyG9PJIcPPduFD3mZc27+q3BvCxWJrwws/O8TgpTPEnaNT1gGZk89JVFOzmzTr1NyBO9hrujvK5UHT1U/i+9RfvnPESbCDz3bhS9onvzvA29hzy8t8S83BSju1AW0buzxnm8uatGPCM4Kz1F7Fe8IA4NPUwEVLuFyjO8hNPEuaNOQ7zrhtq80Pm5vFIrYDy2gag7GwsgvLJRi7wlL5o5WfKMvYq4ETzusPg8i9wwPD7jaz0Y4YE8+KFDvZ9CxTx43Ho8rK59vRtcbzytgc08ojCjO5hI6TwS7aS80Pm5PCmM5zxqjuI465VqvbuxRT0jVks9DSx3PFwruzzrpHo8BMw8PVPLgD1jNCc75B2PPMSxoDyQ/b08Rd3HPKpmP7sH9lq9IykbPbfD57zC5+E8AbGuOxHJBb1PvwK8XU9aO91W4jxpKAS9IxqLPS5Nlbu0XQk9+bZSuxhBYb1FsJc8ud71Ot8+wTvEz0C9CfzZPGpqwzxlWEY9LKd1vQMIfb0D+ey8/aQwvDBEhDxJ2rW8Vy5NvLqNprw98ns8zd4rvAS9LD0iFAw8VCLPOjiPr7yUPOs8EdgVveh6XL2eLba8gq8lPOEIAD3BlpK71j5mPbPG+TsmIIq9O7lNvaaH8Ts65v28KZt3PQe6Grz80WC8PbC8vIf94rw9oay8dpS8PIGalrxGv6c7GSPBPKYYAj22tNc7xw5uPCcmibyD8WS7c2oePZcGqrx10Py8+bbSvADe3jyUS3u7idaxvHzZ6DzpLwy8xrcfPbC6+7viFxC9b20wPLBLjLypMxA8D+EmPXHEfrx82Wg8kwm8O6+ra7yTS3s8JnFZPD7j6zt1YY0881MGuw/hpjwNHWe7KUqoPGud8jtZ8gw9kTBtPYu+ELueD5Y8QY8KPEC8Or3X5IW7tWyZPHe42zxwTxA9y+c8vc3eqzxogmS5TcgTvXqCGj11YQ29s1cKvASunDxaNMy81k12OkLCubx1YY08aIJkuepTKz1mHAY865VqvEfy1ru8dQU82fkUvV1t+ryS9Cw8JoDpPJUPO72zZhq9MLPzO1gfPTwiFAy8qYTfO212QT25ula8S9GkvE8fYr2xbyu8tV0JvGFqaDvlUL68WD1dOxLtpDyfb/W8fbvIPLvPZbzP1Zo8GDJRvET7Z7zDnBE8ccT+PEfjRj0rg1Y95SMOvXe42zy53vU8Pb/Mu2VJNr3FohA8hqyTPHvEWbyzdao72/ADPQrAmbtKrYU9WQGdu1IrYLxIthY8jSRvPPllA73/ub88oAYFvZjoibuzhLo7EckFPM8X2juvh0y9BsMrPDV0Ibw6d447Dg7XvBxN3zy1bJk8JoDpvMgdfr06la69SOlFPBbbgjvTI9g65G5evQKZjT3qd8o709KIPKVUQj0pOxg9wudhvC04Br0U8yO954nsu1sWLLwMtwg9XBwrvZ9gZbs0ksG8qJNvPOhNrDy+ewS95SOOPJn9mLyGrBM9N8vvvD+JCz1FCvi7haYUvWE9OL341HK8WfKMvOAREb08fQ09AO1uPYf9YrtcSVs7CsAZvJhX+byMANC6Xf4KvVT+rzzoTSw9yL2evWAZGb25aQc9hsqzvEXsV71/9Pa8yeG9PFo0zDxF7Fe7DLeIveVBrjwzbqK8CiB5PL7bYzwgDo07BgXru1kQrbzrNQu766T6vCmbd71hW9g8VwquPJpjdzy6jaY8VuaOvUX75zy3Ywi9iMEiPM3PG7zxerc82/ADPGR2Zj0Mt4i7IB0dvdosRDwNvQc9BK4cvHJbDr1/1tY81SnXOsCWkjz2jLQ8433uuoaskz0K5Lg7OpWuOzKMQjzT0oi8icchvEbON73LKfy93QWTum+LULt0jr27RLkovWpbM7z0pFU7tpA4vDrXbbzOJuo3iMEiPTetzzz++368AN7evGIfmDzqlWo7f6OnuVHFgTsBsa48c3muunzZ6Lpoc9S7C+Q4vS4+Bb2RP/28UAHCvEDLSjtEm4i8MKRjPJcVOjzT0gg8VuaOvAoRabykY1K8/ODwvJhX+TkdEZ+8UOOhPNsOpDwH2Do98Xo3PSIjnDvuUBk9cnkuvVxP2rweRE495onsvFjsDbyre848Awh9PNsyQzzniWy4tV2JvNg11Tq6fha9PYMMPDvIXbz5awI66T4cuw/npbtLswQ8oiokPR0Rnzu1bBm8ZzGVvfprgjybVGc8u89lPWhkxLzgICG91NiHvcSxIDy3cpi8ktaMPM/VmrxQ4yG8WRAtvamEX7wUNWM8lR7LvKhv0LzaDiQ82Vl0PfBHCLxscMI8M30yPXKXTjusn+28PH0NvU/OEj0Bkw693z5BPXdnjLyfb/W89ow0PBs+z7zdR1K9kgM9vAOuHD1WN948MKTjPBhQ8TzWPma6M24iPG5JETygJKW7Y1LHPPiDI7wL1ag88p5WPKhgwDzXAia965XqPPKAtrvkbt67vJOlvIfQMrz+d4C8YHn4OzvIXbyVD7s7yf/duFDysbwW6hI8N2sQvQi6mjtQ1BE98o9GvGiCZL2jP7O8mj/YO0GeGjsFFPu8wNLSPJtUZ7xA2tq7i80gvXJVj7zNzxs8GOEBPUnpxTvqlWo7HBGfuuZWvTzF1b87blghPYfuUjvoety7UyvgvHTQfLylNiK8JI/5u07ssryKGPG7rZBdPEfjRj2zZpo8KSwIPeeYfDw0g7G7MVkTu0+/gjw4cQ892w6kvM7zOryvllw8nUtWPMTkTz2I9FG8T86Su/m20jvnOB29rE6eO4WXhLxEqpg7PIwdvJjoiTu+ihS7ddB8O3iau7x0rF083hqiu3x5Cb20qNm766T6u7yElTyAhQc7ljPaPOFEwLwNzJc8pGPSOWxwwrxC0cm8fn8IPMXVPzz2qtQ7njzGvA/nJTxfBAq9mOgJu03XI731dyU8z9UavdZN9jz/mx88oUjEOzp3Dj2jXdM8301RvMsp/Dx+wUe9TCJ0vFwcq7wNzBe9+WWDvVjsjbyyUQu9wMNCvFnyDLvP5Cq9IV/cvPiSszxME+Q89JXFu4GpJru9qLS8clUPPYXoUz0P4aa8GQWhu4q4kbyG30I8XjE6vexKmjsC+Ww6Q6SZuyyn9TxzeS68w42BvCIUDD2iKiQ6gLg2PHyXKT0+xUu8fsFHPdDqqbwcL7+7KUqoPATMvDqGrJO9Lk0VPRjhAbxmIgU9g5EFPKw/DjzgIKE8XV7qvKRFMrzwVpg8VuaOPNo71DoG0js8yfDNu2E9uLzlMp48zQJLvIzxPzxGv6e83VbivNgmxTvmiWy8cabeOnFzr7xxgj89I0c7vPuesTu7wNW8D8OGvMq0DT1/1ta8J1M5vF1t+ruDoBW8++BwvUOViTsuXKU8VfUePFABwjtscMI6M30yPU3XI7yZDCk8xN5QvFxterwuXCU82Vl0PIGLhjz2m0Q7wbQyPJ8ABrr5xWK6f8fGvJbxmrxQ1BG99KTVOWZPNTyCvjU8dpS8O/KtZjynb1C8jeIvvOw7irw3a5C9SAdmPOaJbLy/kBO9G/wPvCFQzDyTJ9y89oy0PB5obbzFAvC8y8kcPPzRYDwvgEQ88q3muzN9sjzuoeg8yrSNPNpK5LzU55e7MVmTPFLakLzoTSw7jgZPvFT+L7zKwx092krkO/13ALxL0SQ4+dRyPYDlZr2meGE8pzyhPLFvq7wO8La8ud51PCpQJ70oWbi76E2su6FXVDzTMug8GRQxO2AoKTsPw4Y6yeE9vUvgNLz2faQ7uKVHvUwidDxIxaY7A64cvTfafzveCxI99JXFPGM0pzuvaay8URbRPKAGBbtrnfK77qHouxo4ULpR1JG8YhCIu/llAzyiDIS85zidvNMyaLwaKUC9tWyZvHzo+Lo5s867aSgEvcaoj7yL60A8yfBNu32sOL0iI5y7dKzdPPjUcjuaAxi81+QFvFAW0bvsSho8UytgPULgWTuzxnm8Dg7XPMvJnDsZBaE8+afCPLaBqDwU1YM8IYP7vPiDI7osZTY42OQFvdTYhzy8k6W8eKlLvPjUcrxAvLq70UF4uvNxpjyyk0o85G5evKIblLzFAvA8PH2NvPxxATzVKVe8QtHJu47orjmsrn289l+EvKJsY7wYUPG8iMGiPG2p8DwRyYU8fJepu5hIabxiYVc8t2MIPETIuDuFphS8mOiJvOIXkDzLKfy8w5wRPa5jrTyePMa7TLMEvdsOpLxuqXA8KX3Xu4ask7yvlty8Sdq1vHKmXr065n08qnVPvAWlC7y/rjM7Q6QZPYK+NT0C1c28pCETvSM4KzzcFCO7Q6QZvD3ye7zY5IU8E8+EPA3bpzzCycE8PaGsvDNfkjwQBca881OGvP/s7jv/qi+99KRVPPV3JTxypt48/oYQvZ36hrzFk4A8Eu0kvFg93bz3bpS70AhKPGEfmDrYJsU8YWroPORu3rqlJ5I7m2P3PPp6kro1dKE8b3xAPUQKeDzDnJE83WVyvE7ssrxcHCu8wIeCPcDS0rzP1Zq8iQnhOuZlzTx7pjk8bHDCPN4psjr0uWQ8eL7auvyPobxXKM47TbmDvLfDZzsL5Lg6i9ywPPKPRrvcR1I8IUG8u0vRJL00UII8Lj4FPblpB72VAKu6JyaJPEa/J7wzv/E7ChHpvEwT5LynLZE8tV2JvF0NGz1PzhK80vCoPMbVv7xqeVM7TcgTO3d2nLyok288u89lPXVhDTtTOvA8+HQTvBAUVjy6jSY89LnkvDaYQL3oXLw8mEhpujmzzjwwpOO7qTMQPOMsnzxIp4Y8fo6YvIvrQLsgHR09XSKqvDBZEz1J2jW98YlHPBs+TzxpRiQ9Fw6yO1xJ2zy+zFO9luIKPXqCGj0wRAQ9uHgXPFZGbrvoety7LEeWvEfjxjy0irk8N7xfPC5NlTuN4q8875LYu+90uLzR/zi6iPRRPJQ86zrkfW47r2msPGVYxrzPxoo8KX1XunyIGT3pPhw9zhFbO0/dorwgOz28Z5F0OyQpGzwKIPk8z8aKPMjMLrypQiC8XEnbPKAkJTwD+ey7HC+/vA4OV71VEz88TCL0OzFoI7yJGPG8tLdpve5QGTzsaLq8kT99vFL4MDuZ/Zi8sW8rPLN1qjtxZB+8QdFJPNkXtbxoZMS8wMNCvFnyDDxnQKW8Rd3HuhUIszrU5xe8vszTvPxxgTx+jpi85lY9vSyYZTwC5N08yB3+vDO/cbw65v26JyYJPJNLe7z6rUE9eL5aPGqOYjx6oDo7aXlTPKQhkzy/rjO797DTujetTzvY5IW8amrDvDNfEj3KBV28vttjvTZ6ID3usPi8OtdtPOxoujwW24I7oUjEvJUeS7ypov87u6I1vNvwA72bVOc709KIvADPTjzzcSa7DvA2u0nLpT0idGs8TBPkvIWmFD0QBcY8ExFEu5UeS7yvWhy6+bbSPOuV6rxxZB+9HE1fO+AgITx4vtq7Deq3PPBWGLxuZ7G9BRR7vEXs1zv6rUG95SOOu+5QGbumadG7j9kevVkQLbzgAgG8jxvePFAQ0ryTCTw8Kl83PdUaRz0U1YM8VjdeO9L/OD0TzwS8XkBKvJYkSrzC2FG8xZMAvRkFITx8nSi8eKnLvMsp/DvR8Ci82Vl0PTiAnzxIpwa75SOOPCZx2TqGDPM8HggOvHx5ibzeOEI80cyJvK+razwdd3080OqpuwYFazsMCFg9H1ndPDNuIjycNkc7OtdtvOMsn7u7scU87qHoui9ipDydLTY85G5ePOeYfDyqZj87b5rgPKQ2IjmcNke8toGoPOACgbwxWZO8BtK7O+qV6rqXFbo8omxjPB4Xnrx6ghq9TvtCPPdulLyeLTa7aHNUOzKMQrw1VoE8GOEBPAirCrxU7x+8omxjPEfy1jqrOY88WlLsOyuD1jxMInS8FNUDvMbVP72gFRW8dcFsvJc52Tp3dpw8FyzSu4nWsbopLAi8HiYuveZlTbyBiwY6kTDtux4XnryZDCm9RqGHPF0iKjwL1ag7oiqkOFscq7pCsym4jCTvvBL8tDz41PK72uqEvDrXbToMCNi8KFm4O2cxFTzqRBs9LEeWu3GCv7uhOTQ8sY1LPLiHpzyXFbq8MkoDvAfYujsa54A8S8KUPCJWS7x1YY28yMwuvMGHgjtuOgG8NJJBvFv4i7zrpHo5oAYFu+eJ7DsC5F08IVBMvKAkJTtO7DK8/ncAPX/HRjz/qi+9/oaQu62fbbwH58q8zM8bPdDMCbzyntY8fn+IvNbeBr1Emwi9Tuwyu6VUQj2H0DK85UGuvPuAkbomgOk8RLkovaZawby30nc8Vxk+vEbONzzAw0I8KYxnO5biijqnLZE8GPCRPJTci7s2p9C8BL2svKF7c7wT5BM682IWPCpQJzuJ5UG8P5ibvIS1JL3DwLC7ampDPUbON7tjduY6VP6vu+c4nbsL5Li6J1M5vdJB+LyiGxQ9doWsvNPSCL1lK5a8ChFpvBHJBbxY7A08c2qeuzCk47xL78S8f/R2uo4Gz7pXGb67PuNrPJEh3TzFAnA8aUYkPBUXQ73kjH49ao7iu9T2JzzgEZE82Rc1vIjBIr2qSB+7Ty7yO87zOrzT0gi8iLISvBbbgjxcbXq8y+c8PTNuojvqYrs54TUwPWAoKbzGxq87OIAfu9T2J7sCty29vsxTvWudcrtWN947RLkoPQLVTTw/iYu7HD7PO0gWdjuAuLY7ZSuWOxEpZbx/9Pa8XW16OcCBgzt43Pq7w42BPVHUkbs+42u9JoBpvYn00byL60A89cj0vDfafz15zeo7r2msPG12wbyIowK8KlCnugWfDL3uQQm981OGvOp3yrwyjMI8yK6OvCl91zw9oay87EoaPY3ED7snRKm8G1xvPOAgobuwS4w58VyXPOSMfrv4dJO8cEAAPe6h6LwrMoc8wYeCPAi6mrqX95k8TATUOt1WYjxnIoW8303Ru3/0drxaJbw7PYOMOw0dZzwlTTo8qmY/vG46gTwpSqi7kN8dPFbmjrxtdkE7BeHLPKMwozyvq2s8z8YKvRwvPzypM5A7rZ9tOz+2O7zWPuY8HgiOO7fDZzxJ6UU7sVGLulHFAT0kKRu8JU06PeVBrjyAuLY8ieXBuw7/RrqdCRc9qUKgvC4+Bb1/1tY7u89lvDe83zvJ/926aILkuxTVg7sZBaE8XQ2bPI8bXjzyreY7VwquPJw2R7suPgU7fHmJui5ipDtYHz28gakmPLyTJT0W24I8U8sAOhgUMbxR1JE82PMVOtMUSLzdBZM6ETh1vIq4Eb1XLs28ZCUXPbfDZ724aYe7f8fGvBbqkjw9sLy8nwCGPDCkY70YQWG89pvEO8v2zDsgHZ06Th/iOjuqvTyUS3u7G1zvvEnLJTtJyyW91wKmvGQWh7zwVhi9eqC6u8PPwDo0UAI9ud71vGxSorxAraq6bjqBvIDlZj0Gw6u76YDbvLy3xDxnQKU7fvRxvCJmpTuQGhe9cAy0OwjQlzuGao28H5uQuzH9XTxFPx26YZPPOiUiED26KQm9zSsnvUN0CD20wF09riq0vN8eGzyVQ6G7FJy7uecDEDwOFbw8y82xPKS8Bb1TaTa8HP35vEvVRj3kmCq8D7UMPNKypj0sJVm7ujizvOku1LwPFby66GEFPFeh6rxpNum8zfj1ugUFg73WHYy7oFEgvTa3DrxVdia9wR2ouzE/Ob0o/E48r8qEvNYdDD2ubI+8V4OWvL0DSD0fqrq8l1ARPZ+iJTybl289EeBQveIrC720sTO9zzgXu8060TvvZM6871UkPArssTrKYBK9OkBIu9W/lrt/lMI6BGUyvfEEHz1HauG82/UQvJ/kgD05oHc9uDptvSu4ubv3+D28Ru4XPXcAUzyPiXA8oa+VuvAEHzysDpo83o10vHgPfbz4pzi96GEFvLCX07vvZE69UgvBOk6ChzvN+PW8A7Y3PW6uvjvu9y69QTTnvPjpEz2lR3m9rb2UvDEwjzsXByE7deS4PEo1dj21b9i88iA5vZobJr0Dp409OCQuPW69aLwXZ9A8b105vdNhIbwpq8m90JaMPHOGw7z9fz09iNesvPN+rjzpH6q7nZU1u2p2irzdESs8S2inO+73rjtL1UY8C0qnvFehajxTqxE8IEoLPcp+5juZOfq62/WQPLdtHj2ypMO6i1G8u1qQBr1rAf67dpOzPLvnLb2eNYa8+2OjvIUbQj3SA6y8ef6YvC4ySbxmTYC8yi3hOxw/VT1rNC89aYduPC7UU73KYBK9GLabO7SxMz1Mk+u8NreOPP9ZfDtoaZq8pUd5vLjavTyuimO9glCtPIiV0buNT4K7CD/xPI5eLD1G/cG816j/PDBOYzrtV147XRnAvAaBzLrqm/O8Ct2HO2slBT3X6tq7dDW+u98em7zJz2s79DxTvZI2MbyWoZa8Wf/fuyBZNT0LSqc8VNZVvXGshDz4tmI8MjAPvbPzDj3ULnA83GKwPP7dMj360vw7Me4zPdpk6js8Tbi71h2MvXhPnj3r6r48vwGOPOO2fjwInWY86h8qPWySJD3Zte+8OaD3PG9sYz223Hc8srPtOx+5ZLtC42G9gAFiPQr7W701WZk8KWluPJHnZb1+lny8n6IlOko19jw2xri8SminPYFSZ7x82Fc9Mxl4vJ2VtbyhABs8deQ4uy6DTr0Dtje9l/8LPAqq1jg+Wig97rXTvEgZXL21YC694Ovpu4+8ITxzyJ68YVF0vGGEJbwKqlY8F1gmvP7dMjwUnDs8QpJcvEDHx7xmGk89d/EovRWNkb0sWIq58NHtPAqqVj3IEce86ztEPSbv3jtU5X+9GiM7vUoXIrzXiqu83GIwPfshyLwUnLu8/t2yu6Ta2byCQQO9KvqUvCwHhb1I+4e7ppbEPFFcxjx+5cc8o206vA+1jDz7Eh686H9ZPP0uOL3z3t280OcRvUVd8TxTeGC8jL7bvCgL+Tv0S/07PJ49PPDR7bzOmEa9K2c0PXrL57wjFaA8MIEUPeeyiryNTwI99Ev9vARlMjwpq8k8a0PZPD0LXbvXiiu7qZSKPBtyhjvVvxa4C4yCPUKSXDvBHag7CvtbPe4G2bvqjEk9AalHPHXkuLznIWQ8N3UzvU6CB7vN+HU8q79OvUWu9jwR0aY8ngJVvYRsRz1zhsO8IoT5PKvOeLzffsq8lLJ6OyoJv7z7MHI9OYKjvCxYCrt11Y66jg2nO10ZQDuoA+Q89C0pvPGA6LuLQpK8KhhpPezblL30bwS9ayUFvRcHIT3fPO+7iKT7u1Fr8DlNJJI6SEwNvQD6zLwNqJy8T/7QPMvcWzyfoqW6HCGBPMpvvDzKDw085hI6PR/sFbtxaqk8Wl1VvFLJ5bu9skK8oQ9FPVNaDD2c15A9aHjEvCmcn7qVQyE9oGBKO4JfV72wVXg8xZc3vP+MrbzbE+U8UgvBPFv9pbz/jC09n8B5vGTvCr0I0Jc7gbDcOxojO73wwkM90UWHvcgCnbt2Qq48hSpsOl65kDzESGy9Rv3BvKaWxLuxN6S7LnSkvGnWObuCQQM8ZEAQu8mxl71HrLy9+3JNPKTa2bqqEFQ7Mp2uvO7ohD33B2g8ZbzZPJSj0DxsQ1k8MT85vWp2Cr1XkkC9yi3hPDKsWLzAsIg7lr9qvZrZyryuOd48zfj1vBky5Txqdgq8s/OOOy3FKTwJTOE8+vaDvSTTRDtQnqE8JHOVvMWmYb1rJQW8JMSavEMyrbw+adI8KWnuPIk1ojw2CJQ8KhjpvMLq9jtu/8M8iuScu42gBz1C1Dc9Pe0IvTHuM73BLNI8lKNQvWYLJb1lvFm7Wa7aum6flDyubA85xEhsvbuWqDxoaZq8w0jsO4tRvDzWHYy8XMr0OybRCr2mlkS7Wf/fuzCBlLzBHSg8eG1yPeeyCj05kc08KVpEvWZr1LuzAjm9PfyyPPlHiTya2co83QIBPHGIfT3ZBvU74To1vFYlobykvAU8aoW0Oh5bb7yaKlA8eG1yvEmqgjzGBNc8YMYAPaVHeT1RXMa7rns5PPATybxcynS7Mxl4uf7OiLzSwdC9JJHpvAOnDTuZe9W82pcbvU3TjLvG5gI8uCtDutDnkbx11Q49BcOnPHht8jzuBlm9MT+5vEWQIj0JTGG8SibMu8LbTLl4bXI9KAv5uyu4Obzz3t08O4+TvK5sD73Op3A8FQlbu8U3CD2XUJG7ZE86PAz5oTwT3hY8I+JuPCwHBTslkem7GMXFvJ2Gi7wiZiW8Wmz/PDKdrjwLjII9Hj0bPXtrOLzE6Lw872ROvYqTl7sfm5A8JHOVvNLBULsbkNo8Jz6qu7MCuTyWsMC8wSzSu+g9/ruGag292DkmO1Tlf7z7Icg816h/vEnI1rsaFBE71h0MPMWXt7vWHQw7yh43vb6jmDzIIHG7spUZPTBO47sjJMq8s/OOvOOJgDx8ugO9j8tLPMdizLwMCMy8MwpOvSG3qjp+5cc8k9YBvWOgP7w2xji8xgRXPeqbczsxMI88UqsRPf1/PTuiXpC8gZKIvf9Z/DzPOBc7l/8LPZahlrzalxu91M7APPAic7zVfTu98bMZvUgZ3DxJyFY8THUXPE8xAjy0ogk8TTM8PPIvY7tBJb27ymCSuoZqDb2wl9M8aTZpu6xfHz2uimO93zzvu09ArLwD+JK7bUGfvLMCuTzXqH87msogPdTd6rzZBvW7QsWNPDw+Dr0m4DQ9JuA0vamy3jyK80Y9oR5vuQkuDb3IIPG8QCd3vKbYn7ya2cq85EelPFFNnLwwn+i6+3LNvFo/Abynh5o8T0CsPBXrBjufwHk7GtK1PM0rpzthM6C64dy/OhU8DLvN+PW7QyMDvDMZ+Lydhou8TeI2vD5aqLsOJOa4n8D5PEdqYT2tvRS8Md+JPDyevTwc7k88qhBUvDMZ+Dv2ix49LAeFvMU3iLzIU6K7c+byO7PzDj1k7wq9dEToO/9ZfDrmVBW9ADwovRZ2ery4fMg7BoHMO/PPMzz4tuK7eK9NPEC4Hb0AS9I8uByZvBi2G70cMCs7oQ9FvCtnNLwkgr885mO/PPrS/DthMyA9NtViPEmqgrxKNfa8J4CFO0e75jxjoD88estnOyTEmjxxiP28pMuvPHYzBL1lvFk7pufJvAuMgjw54lI8gh38ux2dSj2fwPk82wS7vNeZ1Ts770K9wG6tvN0CgTpvTg+9vbLCvYtRvLz7Eh69vqMYPM9W67yypEO9fTZNvSBKizsyrFg9BzDHulNptruzArm8lJSmOzmRTT3Ssia7VkP1vClLGjzWLDY7KO0kvc+JnDvkBUo7Ra52PPtjozxl/rS8jA/hvNfMBj1FTse8oQCbPEyEwTzqHyo8/t0yPXWiXbxE4ae8tg+pPJcdYLybeZu9hHtxPLNTvrx4T548KVpEPMu+B7xjkZU8sTekvNfMhrwK3Qe8iMgCPXQ1Pru23Pe81B/GvKS8Bb0pnB88t20evIUqbDxYMhG9ymASva/oWDzp3U47hzfcusLMIrzVv5Y8z0fBPFnhizx7azi9Ei8cvawOmjzL3Nu7JZHpuxAiLDx3UVi8PmlSvdeo/ztSqxE9XRnAO7bNTTuoA2S8t3xIPQrdB70wTuM7TSSSPM+JnDwwgZQ8PautOZHYOzyKk5e36oxJPHfxqDukeqq5rnu5umh4RLzIEUe9VccrOxdn0Ly5mOK718wGvTUmaDuhD0W8lLL6u3cAUzsug869PwmjPBHverp11Y68eA/9uMWIjTx7azg7vGP3PDSqnruc9eS8E/xqPH14qDyM8Yw8+FazuevqPj0+adI8ZbxZPNfqWrwP0+C8kpZgPL3B7LszCk48E/zqvEVd8bxVdqY88hGPu8EdqLyX/4s8LAcFPe6107ydhgs7KAv5PL6jmLym2J85V5JAPI/Ly7z4mA6876YpvJuXbzzAsAg9Wj+Bu1nhizuMD2E7p0W/vJf/izyQOGu8VBgxvYA0Ez39PWI8H+wVvc9HQTybiMU8zziXPKMcNTzltMS8PxjNPE/+ULsWqSu7vfQdvYiGJzwI0Be9UU2cu5PWgTnPOBe9SaqCu629FLtLxpy8NXftvKVHeTym58m73sClu37lx7zRVLE8BQWDvKG+P713ANO7/X89PQIW5zyvOV68yc/rvKMcNTzjiYC8yBFHPQIWZzwiqAC9u+etPPinuDzKYBI9tg+pugRWCD1KJkw8K7i5vKHNaTsrZ7S7J4CFvecDED3i6S+9TeK2vDxNODkXFks8ewuJun14KD0SPkY78NHtvNY74Lxg8/48dlHYvDcXPjw770I7ZhrPu75hPTwWuNW8cayEOawdRLuUUku8cawEPV0ZwDx8uoM7bp+UvBHgULxmGs87r+hYPCjtJLwo/E68QsWNvG7wmTzzfq4513sBPQid5rvAbi087qapvJVDobs8Po66zSsnvbdtnrySRdu8bp8UvZ+iJb2c1xC8swK5vFfyb7w9/LI8IbcqPeQUdDw6MR68xgTXvH7WHTzaVUC7eg1DvKoBqjw5giM9SjV2u+Dr6Tz7Eh48+tJ8vIBDvTxDgzK8lKPQvDE/ubuQOOu8kBoXOftyTbwudKQ8YPP+vOW0xLyeRDC7OqB3vGLxRLzrSu68GuHfOmfYc7z4tuI8Mo4EPalDBb223Pc8OjGePJHnZTvKHrc8tWCuPFy7Sjxn2PM85cPuuqVH+bxmTYC87VdePWDGALxRTZy8UU0culfUmzxDI4O7sTekPA+1DD0EdFw8iMiCPKjlj7wrqY87i0KSO+FJX7u2zU08ob6/PGORFb0Ndes8i0KSPM+JnLyxN6Q747b+PEm5LL3zwIm71YxlOrHmHrzIEce8S2gnvJ5T2ryqASo8ZO8Kvf09Yj0T7UA7iKT7OwJYwrw5FYS7pufJO+1INL0NZkE7qZQKPFysoDouI588LBavPKEe7zwZxUW8VXYmvW1BH70WqSs98bOZvLopiTwOBpK7dEToO4GSiDyCDtI8BzBHPCPibjppNuk8J48vvG696Du8VE29+UeJPMKKxzoAS9I83QIBvKj0OTyNrzG9Me4zPUDW8TyFuxI9nYYLu+LaBToSTXC6+zDyO9DnkTy6KQk8m4jFPBPtQDx6rZM7+FYzvMbmgrzXiqu6IfmFO7SiCbzlpRo8vcFsPLKkw7yCQQM7fAsJPCRzFT3DOcI8iqLBO3ZCrry99J28xTcIvDYIFD05FQQ9hmoNPdVukbwfm5A7vwGOPJcdYDxQnqG8ym88vE/vJr01WRm7EGQHvDjTKDw7ree8CT03vfWp8jsQIqy8bp8UvJPWAbx4bXK8IbequuRWzzpgxoC8g66iu5k5erxz5vK8C0qnvAv72zs+nIO8vcFsvHzJLbzDex28dCaUvHAb3jx8uoO6TqDbvCBo3zwnPio9NSZovH2H0rt9Nk08cMpYuxw/1bw5FQQ9+faDOxoUETxfF4a7nNeQPFQJBzkm0Yq7+FazPAtZUTsR0aa8GLYbvNYdDD3w0e278iA5vRSr5TyShza9xVXcPFpsfzwZZZa7uXoOvToxnrqzRJQ8K8djvJ5EsLzpLtQ4mF+7vEhbNzxxiP07zSsnO06RsT0FFC08hF2dvMggcTyIhqc7TeI2vLCXUzxh8/46TEJmPKRrgLwrdt68Rv3Bu8+JHLyIpHu7rCzuPMxtgry6OLO9mL2wu6/oWDzTf/W83VMGvFnwtbzmVBW8nNcQvQtKp7wSgKG80LRgPAcwx7wWqSs8hQwYPaU4Tz0m794747Z+PEMjAz3nAxA7l1ARu3sLibobcoY8EeDQvOqbczxVdiY8AmfsumWtrzyk2lk7jl6sPRSrZTzmcuk8nZU1POqMyTv/fQO7eF5IO7opiTrtqGO8TvFgvFqfMDypYVk8zelLvM34dTwSLxw9JSIQPNpGFjxu/0O8KUuavOfQ3jyQOGs7xYgNvLbcdzxmXCo7s2LoPL3B7DuubI+8+xKePKBgSjykvIW8jPEMPNN/9btU5X88lw42PIy+27wIfxI9wur2uwg/8byHN9y8RPBRvBz9eTqNXiw7acePu8oPjbtVhdA7aeXjPFhQ5TrZ6CC8fTbNPG9OjzyLQhK6K6mPO7d8yDzez8+5xZe3vFpdVb3ZBnU8Pastuxoju7zwBB88LiOfPGFR9LswkD68+OmTvEWQIjwlQGQ8cbuuOiwHBTyoA+S8GWWWPCbRijwZMuW6lFLLOuOn1DzKYJI6rb2UvPIgOT2SNrG88MLDvPAEHzwhF1q6Mp2uPIXKvDo74Bg90sHQvCj8TjzkFPQ8SFu3PO1XXjzWHYy7IEqLuiTEGrvkVs+7iTWiOyxYCrw2CJS8LAcFu04kErx8ugM8mL2wvKaWxLsLaPu8SBlcPO05irxC1Lc8IqiAPM349TuYrgY7msogPaJeEDsCSRi9p4eau0NBV7xhMyC8Mxl4O/7s3LtgxgC8exqzvCSR6byo5Q+80JYMPIBDPT10JhS8zenLvHQmFLoR73o8jU8CvTHfibwWPAw8vmG9ugA8qLyzAjk8/30DOzCQvjzVv5a8kCnBPJKHNrzSsqa8WFDlu/kFLjvzz7O7uZjiO2fJyTsm0Qq83RGrvAto+7seCmo8N2aJPDP7I7ydpN88tLGzu1fUGzwWqau8Md8JvTVZmbzzjVg8WeGLvKMNi7zIUyK8c5VtO1Cty7wukvg8gaGyvNeZ1btz10i9qgEqvKtuSbzxcT68Xsg6PI1t1jwF4Xs8KvoUO5KHNr2dpF88URprvMgRxzxVdqa73sClOunOpLvaVUC7ADwou3G7rrsLjII8YMaAO16G37p6vL072fdKPdYdDDxcu0q85nLpPJ2VNbwwgZS8pMuvPOHcPzsruLm8CH8SvaVHebzFlzc9anYKPdmmxTypUq+6ow0LPBBkh7wT/Oo6O48TPIzxDL1z10i7ppZEPbvnLTxwG1676ztEPPQtKTsXZ9C80sFQvUnI1rrULnA8Wmx/vBoUET0aFBE7ZbxZPBAirLzvZM68A6eNvFW4Ab1vTo+7rF+fOsKKR73cwt877veuvDCBFD0I0Je7s0SUPG4O7rrKHre8mhsmu52VNTyYXzs8IfkFvBATArx0JhQ9ZgslPcekpzvVvxY8vnDnPB4K6jwh+QU86d3OPOO2fjwJPTe7eK9NvOfBNLwHMEe6nYaLO4iVUTuNoAc9R6y8vPATSTz2SUO8r9kuujvvQruhzek7ef6YPNFFB7saFBE94XwQvdm17ztTWoy7ADwovFZD9btFkCK8MT+5O1C89TuzRJS713uBO9eZ1TuZe9W8ppZEPUxCZru1b9i6ptifPO7ohLyrbsk8HD9VO09ALL25iTi80vQBu8B91zwP0+A7nCgWPC/wbbzpEIA8kClBvM/2O7sFBYM8qgEqu5/Aebwv4cM6t20eO9eo/zoyrNg75aWaPCoJvzxyKE68qaO0OtFUsbzRRQc8MwpOu29dObxHnRK7hzfcO4oC8bxjXuS8SAoyPeDcP73Xiqu8BcOnvFNajDuBkgi95EelPN0RK73kVs+7dkIuPFCeIby3bZ46D3OxPNIDrDxKaKe8s2JovIwPYTwngAW945iqvOcDkLzZpkW9IfmFupUQcDtDIwM9eq0TvdFjW7p/lMK7c9fIvHy6gz0fqrq87qapvMmxlzypQwU8tD/8Ou+5Lz1xGki99IusPE+cPbz99Tq8YGrmvAiaNDxIco66OPyXOtn95Tw1MA+9xy89vW5fizwS83Y9RGyavHZgG7ywyQI9E8pXvPk0Cj1JoaE6x8wyPK1ghLtZo8E8ltgxva9+Sz3kiYw6AJmkPKLlqT2iH5U8oryKO3HICb1+mxY93s9iuwg3qjt2ibo8NTAPvTVZLr0IN6q7QSw7vSqMFbwTsoS9s76qPISLWrz2Hco6cI4eu2hC1zx6A4U7Y4GmPEy/6DyFYru82g6yPDEZT7q0Fl09kFhzvYTu5LxWOkO9ZnbOPHay2bw19iO964ocPQt3CT2VZNu8++9GvO4LbjxYSw88QVVauxXQyzx3YBu9DuCHvK3Djj3pvpM929o6vfuMPDy3kCe95hsqPU8QlDzJ6nk81U2BvJuBj7zpvhM8ax+svPfLi7yKl0I8PJQpvAHTDzyaX3e89O62PIguRDxRFoi8FzlKPR9LpjukWYC9jq6CvFVFmzw6nwG93pX3vPC/ozzBwMo80EGZvDJCbj04X6K8DjLGO21OPzw22v88UgU8PJkYkTzez2K7quY5vZcHRby1s9K96SEePcQYfboqxoA8ZgL4OkSVOT2HLsS8JbqYPLnoWTzpvhM8kFjzPDPwr7yVO7w7VNHEvKU93Lt+m5a8ty0dPZXH5TxHDwS9J9jfO4P5PD0tkom8mx4Fva3DDr0bUAq92WBwPKNZgLyteFe8HZdwvEktSz0l9IO8ftUBvWsfrLx/4ny8ZoeaPEF+eT1ReZI8YQdcPM6ko737Y528cfEoOx0LxzxZUQO8Y+QwPGi2rTydsCK9QJqdvPMoIjwDPA69mEGwO7VhlLoWfg29IegbPejnMj3W3x69RPhDPeRPIbuVKvC7obaWvI5jy7x7Suu8cOBcvHHg3Dw8g126IYURvVm0jTxrq1U8W15+vRco/jpHOKM7rywNPfhdKT2yIbW7wxj9vH9/cjxP/8c8og5Jvf+HWD1Llsk8CgOzPErbjDwLd4k8n9+1PPJcGbxLhX08VhEkva14Vz1KZzY8FhsDPcHAyjqnfbs8GnmpPVYA2DxJZ7a8LfUTPeNPoTs6K6s8Rw8EPW78ALxJBCy9ZLuRPeRPIb1Mp5U89IusOZbYMb09CAC9km+zO5XHZTyNdBe9K4yVPUwi87yWdSc954+Au5MMqbwyZIY8ouWpvBnni7sQ1a+8aHzCPJ1NGD1CAxw90/H9vBKQbL0w+we9R9WYO/7MmzyAud26r7i2uVv7c7wCt+s7m6ouvI0RDTxKeAI8HTRmPJqZ4rxDW848cODcu7xRWL16Zg88j7v9PPGWhD1/HOi8X6+pPVH07zvoEFK9X4YKvJDdFbvRR4289h1KPf7Mm7y0Ft07EJtEvH44jLz4Iz47tmGUPIXFRb0ToTg8e8+NPExECz2n4MU8h/TYPGY847xGimE8KsaAPPT/gr1zg0a9YAfcvCfYXz1GYcK7kBcBO4nLOTxuJSA9xJ2fPUYn1zsIq4C9Rw8EPfHowry9i0O8AvHWPDFTOrzuf8Q8iSNsvNn95Tq6lps8MseQO999JDv9gWQ7a9T0PFjohLwghRE8n5T+PLTEnruIP5A8uiLFPBIEw7qDCok9l2rPPPwpsju/aBg8efK4vDplFj32LhY6DWyxu8689jzWQqm7PDEfvVHLUDyQL1S8FRsDPIP5PLxM4YC8tNzxu5Z1J72QQCA9kwypvEI9B7zcTpG8o1kAvZ9r37qgfKs76b6TvMCiA71Ry1A7BfdKPbz/GboNW2W85hsqvFH0bzxKLcu6G1AKvdWwCzyABBW9uMqSvAO3a71JPhe6hsXFunRaJzzez2I6Xq8pO3OUEj1cuoG7qoMvPQJwhbxh7wi9tBZdva8sjbuWdSc8+u9GPSeedD0Iq4A9R5stvaSxsrwi7g89bvyAPB2X8Ly/BY68C8lHPHHg3Lw75mc8cI6ePA1Dkrzrszs8z3uEPDax4LzaDrK8EA+bOz8mR73rihw9Fm1BveTslrwi7g89LeTHO1auGT0T2yO9lCpwu/PuNrxqq1W7+enSu8le0DydhwM9bU6/vBqiSL3Mnq+9nwjVPNt3MLz7nYi8UfTvOnHIiT2YGBG8lWTbPJOYUj17bAM94FQFvPN64LyYGJG9ag7gPJ+U/rwGQgI9zvZhvciH77w8lCm78lyZvO7zGj2CXMe88qP/O2sOYLvigxg998sLvXDxKDzDGP071kIpvIUoUL1OOTO8S9uMOqFx07wCGvY8kC9UPa3DDj3rszs9VailvKr3hTtr1HS8n5T+u5M1SDugQsA73jJtvYEtNL1tTj885UTJvK/yIb3Iwdo6utAGPEI9hzxTbjq8YhgovYuojrs1zQS90fzVPBo/Pjw268u8BGUtuxoF07z07ra80uSCvJMMqb0t9RM9gMopPBlKFjzjoV89Pb1IvTplFj0Q/k69HdFbPOIE6jy5hU89t/MxO4f0WD0GMTY8KlIqvUFmprs22v888qN/vLozEb24ypI8IIWROzqONbu3yhI9pogTPF8jgD3ez+I7EKwQPQOOzDtbRiu7L16SvBiEgb21s9K9x6MTvd6V97uYGJG7ukvkOpvkGbweRTI788UXvA34WrxuX4s8oGtfPCUdIz0scPG8lZ5Gvdk3UbuDCgk7nYcDvUVQdjwHw1M9cAl8PDCHsbwxtsS7YM3wvA34Wr2Gc4c7pbEyu5OY0jy8YqS8KsYAPZw8TDxOnL07UqKxO9zrhrx2/RC8ag7gvBo/Pjwji4W8h5FOPYjchTv+9To9qnJjPEmQVTsLPR49ag5gvZvkmbs1kxm8xACqvONPoTw1vDg9L8EcvC9eEj07yCC8g79RvIB/crsor8C8HRyTPA2mnLwluhg9Sme2OiW6mLwQm8Q8bPaMPHnyODwusFA68a7XvIjcBT25IkU8VsbsPPhdKb0grjC9uvklvZcHxTwWRKK8JUZCPboixbwDjky9XjtTvZAvVLxwQ+c81MjevNw9xbyXpLq8QNSIPfd1/LsN+No8OY41PTrxvzyZtYa8f7ldvSTjtzyIBSW9ME3GPGhCV7zJbxy93mzYOnm4zbx+OIy9aSoEvKHwAT0X/166TCLzPHqtdbxvQ+e6/MYnvDaIQbxKZ7a7v2gYPFKisbwN+Fo8KimLPJ/ftTx7hNa8URaIPAKOTLyv8qG8GDnKvInLObvDKUm8NrHgPKEOybyE7uS8Gj++O68bwby6IsU8fsS1vBAPmzzgD0I9hmK7u9OO87yotya9dJSSO5yBD7yn4MW8azf/PGY8Y7zb2ro7svgVvbjKkjx7rfU8xDoVPSOLhbuksbK861Cxu4ZzBzxmAni8f+J8PCCFkbyqD1k6vh3hvHlmj7xkWAe9Mo0lveSJjLxjRzu72uWSPCl7ST3uqOO8ndlBPX/i/Dvp1ma5BgiXuwjs8jzUAko9VWNivea4n7syU7o8nROtPMfMMj3hgxi84HLMOxfF8zvfGhq9QqCRvLozkbybcEO8cSsUPB005jtKykC8jq6CPEI9B703mQ08kaOqvFKisbxhGKi8biUgPINcRzzgrDe82qunPLiubrziZ/Q8uiLFPBMVD71gB9y8RZU5u/tjnTxkWAe890xdvHODRjzT8X29ImntO1fXuLwiQE49X4YKPDUfQzw4wqw8EEmGvAjUHz1er6k8qr2avJBpvzy17T29JR2ju9pxvLzg1da8CTeqvWFBx7sGCBe9x0AJvZqZYrxMp5W8i26jvChdAjuTNcg87pAQvS31E7t58ri8CHGVPEcPBD17+Ky8tVDIvGtZlztYaVa8HW7RvD0IALuRoyo892gBPFEuWzwi7o+8Yw1QvBhKFj1AYLK8XhK0PIKWMjsUsoS80g0iPYL5vLxSorE84YOYvLr5JbxmPGO91MjePMS18rmCv9E8lOOJPAhPfTyvCnW7EpDsvLycD71mhxo9yTUxPM8wzbuXpLq8O+bnuw342rzrULE8ycFaO1IFPDwdNOa8rWAEvTJTujo3d/U75rifO37tVLybqi48Tpy9O0oELLzJbxy9lhKdvGS7kTsOz7u8SniCPCpSqrx//iC8kEAgvYiRTrtBj0U6dL0xvGvU9DvDC4K7ryyNPGZ2zryOEQ07Kw1nu0F+ebvbFKY6XkyfPDYUazvDUug7hnMHPBsWnzyzlYu8hTmcvIiimrxqDuC8hItaPCIXr7w5VEo62f1lOQyV0DwfEbu8lOOJvBXhF7wIcZW95lWVPO6QkLy8Udi83QlOuh90xTxfI4C89pEgutV2oLobosi8cH1SPMJujDww6js85LKrO0IDHD1cuoE8Kd7Tu8leUL2htpa8vuN1PEIDnLzC0ZY8PiZHu6Sg5rw4wqw7R/43uwiJaDoLoCi8a9T0POYbKr2LwOE7vIvDPJ4TLb2iH5U7eudgO8jB2rw2iEG7siE1PGLvCDxuwhU9IlGavNXZKjzMEoY7K9N7OwCZpLyN1yE8ZFgHvSopCz2XQTA8iwuZvEFmpjz4dfw84HLMPPzkbrxH1Zi8SWe2PGfBBbwxtkS7NYJNvGLvCDx5AwW9969nvIkjbLz7xqe8AcJDvGbqpLvXQqm8kwypvKq9Gjx6A4U7ST4XvL1ipLuFYjs9AvFWvKiOB73pIR68EJvEPA2+7zx2/RA8c70xvc9BGbtLM7+7yTUxPUEsO7ykFD07+PoePQDTD7nVE5Y8rImjOx0cEz1+J8A8oVMMvR0ckztwtz28wtGWvGFqZjwzKpu8T5w9vOmEKLw6t1S8JwF/vHtbtzt9xLW6Uj+nvLrQhrs8zhQ9txzRvAirADzkJoK848r+OyMXrzsyx5A6z3uEO7VhFLwUeJm8iKIaPfGuVz1IkNU8+JeUvEynlbtS3Bw8m9PNPEDUCD3pc9y77uJOvNnlEj3OvHa8n2vfPCJAzjo7rPy73+AuvFzSVLxuwhU8bvwAvW/rNLx5Zo+8+ykyvWaHGr1A1Ii8Zp9tvDyD3bxrWRc8EP5OPZr87Dx023i8+2MdvaSxsrp//iC8sMmCvNiaW7kyKhs9diawPJqZYjx58ri8H0smPMTGPj3LAbq8Uj+nvLrQBjzyXJm8JfQDPaHwAbxrDmA8ExUPve0curykFL26tHnnvN4JTrxmdk68F8Vzu4wLGbrPzUI9gZA+PQyV0LwwJKc8DWyxPJekOrw7SXI8+8YnPQEadjz/JM48hTmcPFndrLyg3zU8rOwtPaSxsrvnOfG8J9hfO3WyWTxZtI08jTosO4TQHTz3dXw8kFjzPJkYkbws0/s7pSWJvDCHMbzEY7Q8dDGIPBkFU72CPgA9Ei1ivEBgsryliJO8E3gZPdn95bw68T88lY36PALIN7zkPlU7QLhkvFkXmLwpe8k7/fW6PJ3qjT399bo7oki0POSJDL1rq1U5fifAOzoCjLwQciW8xMa+PGYC+Dpusck85HjAOwJwBTt5A4U8NZMZvV+GCr2LCxk88ZYEvIkjbDwOz7s8i0WEPDIqGzxWKXc8RfjDO/GFODtz9xw9vTkFu3/+ID2sTzi94YMYO7iu7joCVOE89YDUO3lVwzuVjfq8GQVTPUdhQj3bFCY8dCA8vNdCqTzP3g68EDg6PLN55zsDAqM7s5ULPCQMVzxQLts6xMY+vM/eDr0SLeK7GHO1PCc76rtG/re8QDeTvFijQbsBGnY7MXzZu/FLzTyiH5U8e8+NO2lTI72LqA68iNwFPCWArTx/HGg8orwKPFl6IjsjF6+730O5PMTGPjwGQgK74mf0vME0Ib3pvpM7hVFvOyee9DoyQu68KIYhvSwN5zvXQqm8KikLumdNrzv4EvK8RKaFvIf02Dw22n+8zzDNO7wouby3LR29mGpPOtmrJzsSLWK8XjvTvEwKoLsyxxC8cKZxvPvGJz0m9IM5BffKvA2+7zzWpTM9qQ/ZvNCZyzsRkGw7PQiAu24lILxECRA9I91DPDH7hzzgrDc81GXUPEzhgDuqvZq8x/VRPFLcnDuTmNK8dDEIvBZ+DT1wGki7ZKpFvbPccTzCboy8TFxePVbGbDyQBjU8QLjkvK9t/7x+OIw7JwF/u5AXgbsVfg08Jp70vHYmsDylJYk8kGk/PPtjnT3zKKI7O6x8vC3kRz34wDO4A47Mu2sfrLz07rY82ZpbO3vPDb3WQqm731SFuwZrITzP3o6798uLPL3FLrylJYm9YDB7vAOOTDu5vzq8CwOzOgf9vrzTAko7WOgEvdyxG7zzKCK8GnmpO045M71c46A86OcyPQhP/TzVsIs8m+SZPEKgkTyKl8I7XeMgvGHePLwMldC86Eq9vO5/RDwCcAW7TL9oPNzrhjxRLts7EwRDPYg/kDqo8ZE82oKIO/0e2jlEMq88htaRvBhi6bydEy08mRiRvCbY3zyBPgC8ujORu6QD8Tw5t1Q95340uzbNhDz8xie8yIfvvCxwcTxx4Nw8URaIO8leULzdlfc6s74qu5Vk2zxQy9A6MmSGPNvaOjy6MxG8PL3IPLWKs7xxyAk7/fW6O+0curwsuyg9VmNivAUxNr2Onba8Rv43vLRQyLv/JM68J9jfuzYUazvm8go9ebhNO872Ybwd0Vu8oKVKPP5pETygQsA7kaOqPGMenDzTyN66/MYnPHm4Tbyojgc8E6E4PEp4grmvCvU7aHzCPJavkjruqGO8R9WYvDPwr7zRDaK7jdchvA34Wjx7W7e8wAUOPdsUJjyjWQC8p327u18jAD3Q/NU7rE84vRuiyDzffaS81XagvGuCNrsxfFm8A1Thuq9+yzxReRI9uJAnvOTbSjuTb7M6ml/3PPZXNTyNxtU7kC/Uu6QDcbz4wDM8LHDxO/tSUboZ5wu8aSqEu9qCiLym6527eY8uvKIfFbw9awq8HrmIOqrVbbyameI78a7XPFhpVjtb+3O8R/63OwYIlzwNCae8Y6rFvDIZT7t6AwW8qg/Zu3QgvLzDUui6ArdrvHHICb33aAG9XNJUPNzrBj2tYIS8yMHavKXrHbnuRVk8T/9HvS+HMb3hSS08+JcUOhYKt7y+kbc8LeRHPM68djzliYy7MXxZPES+WLz9R/m8hDOou1joBLpofEK80XAsvNgZCj2AoQq8H9fPuxtQCr2QWHM8Rw+EPCae9LyQzEk8w9GWu1Zj4jsSkOy8t2eIva0mGbwLd4k8e77BvFYp97wxfFm8KEw2vP3k7rtWEaQ5kC9UvDPHkLwLdwm9ZuqkugPZA72kA3G8qazOPICQvjxRkeU7cAl8vAaljL1hGKg8r7i2O2tx6jyVZFu8jRGNvBmtoLu0Ft26KlIqvGuCNjwEZa27sz98PJU7vDtFUPY7rWCEPa0mGTylPVw76dZmPFZj4jvZmls7LZKJPMmYuzzOBy69DjLGvKqDL7xmAvi6Yc1wPDK2xDxwpvG7XOMgPao4eLwdNOY7nYeDvCyBPbzsFsa8TKcVPXBD5zygCFW8Asi3PDbNBDzEKUm91MhevAX3yrzJb5w8DaYcvINtEz0nAX87MvAvPMdpKL1B8s+8VzpDvMx1EL2vp2q8VH8GvWafbb3joV+8IOibvCrGAD23uca8j5JeOwO367r7xqe8QqARu3lVwzuRoyo8dJSSO9TIXryIkU48skrUPGZNrzoTobg7B/2+PJ/O6TyaR6Q44HLMPISL2jwxGU+8wxh9vIj0WDkgEbs5FW3BObTtPTxj5DA8oVMMvTJTuryIopq8iKKaO1w1X7tMCqC8LB4zPDxaPjwNbLE86VsJvchACTknAf+7kUAgvHZPzzriBOo6ax8svNmaWzwN+Nq5XyOAvIloLz3aq6e8/swbPV4StDubqi48pXdHPOUmArz95O48O+bnumY847wNCSe70aqXO0+tiTxBG++87i2GvJXHZbu+kTc7e/gsu+4thryhtpY83E6RPIg/ELwl9AM9+2OdvJTjiTzl7BY8/gaHPNn95Txie7K72WBwu0//x7rripy6z5NXu8w7Jbyq94W7XAzAu/YdSrwyZAa9g9AdPSHoG70V0Mu6n2vfvIDKqbwluhi8EwTDPDCHsbwoTDY8wfq1PI+7fTyo4MU6ydImvLJbID24kKe7Wd0svakPWTvzemC9Nbw4vKG2lrxe2Mi8nYcDPQCZpLzc2ro8qaxOvciH77wi3cM5ArfrvMEjVT12T0+6UXmSu5pfdzwnnvQ79qAwO6G5uDyWzhe9WRtHPMTAzLzEwEw863y2vMXNJDySyDQ8xisKu5rf1jzFKwq9y0khvVnKOTx3szY9wYOMvMGDjLwlTzA9cJUfPIu1+TxbkWC8hqS6PIF5y7wD9448kFKbvdCgET0b2ii8mbpKPScjLz3Y8Iw84DOwuzRstbyusbE8TYGzPCPMPjwjzD48zkIsvctJIb1wlR+8IgUYvfqxb7uw1j29BuPBO3JEEr37HC27xBFavJ56/DwQBzy8W4aEPPqxbz0CpgG6Ml/dO7Zqbrxsd4g97TiBvYyqHb0TOSC9AgJruibFSTziBy+85ERvPXQjbTySJhq94zkTvdmq27rHlMu8kiYaPDEBeD1t+P28ofKRO29jOz1EGYQ9cgs5vTcH2zvjFIe9YDnePLlLxTziBy88KOrVu+srKbxC5587JWdkvAncTL0X+VE89SoXuxLDhrxbM/u8+Yxjuhvy3DpfIaq7G3xDPbmcUjz6se+8xkM+vDbvpjyPOOu8/Nb7u/JJwDwHQac8ZJ0mOnO6Kz0/nYe7PMmIvDv1iToj5HI9C5gXPYDK2LvzBYu88HVBvXQjbbwwgAK+nm+gPE+ZZ7zkLLs8qeQnvP7wKz0uFUW7/ePTPPPMMTyd+QY9b3tvPLCSiLxEahG8UQSlPIzC0buo18+8NHkNPb6Kgbwu/RA71RyOPIRl/jw521m8be2hvF+Xw7xt+H28lWPaPGBGNr03ZUA8gSg+vHdiqTz7vse7/v0DvYDK2LvBdrS8+C7+O3LzhD3UAt48/MufOy6sg718c+i862QCPMahozzS3dG7SczduwZ6AD2MccS7C0eKvK1TzDwMsEu95+GQPFEEpbxB2ke87YkOPVozezww0Y+8U9gjPadujrxeWgO9/XoSvaH97by05/y8zPiTvAP3Dj2RJho6SvFpu0xcpzyt6oo8XlqDvW34/TtQ90y8Q8Z6PL0sHD3r2hs8rg8XvankJzxeWgM9RAwsvQS+NT1b15E83JgKPAKZqTwIFaY8PwZJPNiqWzufzYW8wK8NvDpGFz3vDIA8N2VAPa9gJLy+igE9GLWcPQjP9Dviwf27cgu5PMAlpzvMYVU9Y5BOPRhXtzuGLiG9nD08PQ6cfr0ngRQ8InuxPDOEab0GNE+8t7Cfu9jwjDxy8wS9QBOhPWBGtjxBK9U8KDCHvH9hFzxGSew8Q5aSPFTw1zy/Uai8L7ffOu7/Jzxb1xE9QBMhvcZ8l72tjCW9JlwIvNa+qDvLVP08mjDkvF/beLyT+hg88CS0O1bRrjz40hQ9D1hJO8asf7x0xwM9Nu+mvMHfdb2SJpq85KLUPO2Jjj2usTG7jcLRPR88dTsj5HK9WVSgu0x02zpRBKW80Wc4PVCmv7zUAt47NZ4ZPIudxbqUqYu8YDlePGYrdL0JLdo8ZJDOOzTKmjzpBp04NrbNPA6EyrzYt7M8uweQPEenUb0L6SS95g0Svd0OJD1XgKG8lPoYPb7bjjxRKbE8ScxdPbFMVztCoe68/1ntPDTKGrz/TpG67NobPfku/rz6VQY9Kxy6vFcvFLzQ/Po8bbTIPBLDhrxivM87k/qYvByUd7yLNAQ7/58ePTv1Cb0pSDs8uI96Pb+iNTymKF090nQQPFWsIjvzHb+8a8gVvW34/Tzxgpk7aUWkugHSgjzevZY8Jq0VvUZJbD1YR0i8dlXRO+Cc8byxNCO9SpWAO7HjFb3vXQ09vTd4u234fbznvAS9bkuHvDx2/7olCf883JgKved207zZWc676exsPBqJG70bfMM6E+gSu5miFjpEux492y3NvHMYET2mYba8ABa4u7gmubwuxDc8/TThO+8kNLqewC29S+YNO7E0ozxW0S48bT4vPdywPrw4wyW9vTf4vKfKdzk4LGe7wBhPPcmNVj3o+UQ90E+EvdrEC72ebyA9Sdm1OiK0irxRBCW6nOyuOlF6Prw6Rpc8XJHgPP16kjweJMG6fYBAPN0OJL0tWXq8nx6TPMPATL2Dw2M9p26OvF0U0jkCpgE9PNRkvONEbzwBxSq9SirDO/TMsTzLmi674ECIu8o8yTyKhRE7iGAFvDA6Ub2zwnC9cf7gPFLj/7wuxDe8kuBoO2D1qD264oO6/UE5u2tqMD1QvvM7w0qzusVvv7wBO8S8P2SuPMhoSr2ZrfI7wj1bvTaembxjGrU8mdL+vI5+HD2uDxe9bHcIvB6Cpjz9epI91ssAvVrKuTwBxaq7/TThu29jO70Qtq68xqGjvKLGkLzWywA9Kg9iPTKljjwVx209fZh0vaA2x7t0MMW7UFWyPJeVPj26qSq81JkcvcehI73sK6k79dkJvfg7Vr3C7M28qZMavAbjwTsFbag7wd91vbUtLry8H0S9PLwwvElu+Dz8bbq7k5yzPAICa7xJbni8WA7vOzZAtL0276Y8YfUoPdrPZzzY8Iw9Zit0vZ2z1TyJkG29/DThPIixkjxEGQQ9H3XOOhzngD2h/e27uI/6vERqETw0eQ09VtEuOz4GybziFIc6pKXrOxEfcDvTOzc8JaA9PPgufj2tjKW8uxLsPBgGqrt27I+8vLYCPX2AQL2MWZC9IgUYvS79kLto5z68ht2TvCYW17sXMiu7CwFZvNQCXrwv3Gs8NkC0u2dxpTyIyca8s2YHvDKlDjsOnP48BCf3uxuU9zw0kUE8QMITPJbOlzyWwb+7hLiHOtvcP73ONVS8+w9VvKSlazxmK/S8B6rou/f+FbrIF706YgKBPNyYCjw56LG6P/lwvSZcCLzN1248t18SPdzpFz0nxUk9vZVdPVI2iTsiHUw9zRDIvPpVBr2usbE7uISevBbH7TuIsZI8lzdZPHgp0DyCNRa8kKMovA/iLzwWx+28gBvmPFlUoLtP3xg9bT6vu6LGkLwmrRU8oWgrPCGnsjyfHpO84gcvveFYvDy/ojW8T6Y/PfnSlLzuoUK9rC5AvQywyzrQ8Z68kj5OPdeSJ7xCiTq9UBxZvaA2RzwlCf88ft4lu3GIx7wQ74e8M1SBPV7DRLw8vDA8xB4yPXGtUzsMvaO84sF9vVPYIz1BfOK8OHKYPA0OMbxjJw29Y3gaPEc+ELyMTDi9N8MluwGMUT3ed2U86RH5PHWmXruoNbW6bsEgPH08C7zPWuC6cZWfu4QhSbzrZII8s1mvPLDWPTy2Oga9rTuYPBOKLbyaGLA7tYsTvUaPnbv5I6K8tdwgPAlmM70rbUe8Ngdbuzks57zJjdY8fYDAvCzYBD37vkc9xvIwvFLj/7w7r9i8gCg+O/B1Qbwg4Iu8agxLPc57hbzvDAA9YV7quwNInLt6QwA8L9zrPB6CprwSRPw6qeQnvGmWMTtK2bW85zKePA13cjzjRG+86UrSvPJh9LxS4384Ro+dvKHykbsclHe83JiKPOD6Vj3ndlO9dMcDPT7ulDxKiCg8MICCvH0vszzZCEE9o403veNE77uE0Ds8SzcbPN5fMT2lSYI51KR4PJt2FTxqDMu8B5+MO0ATIbyPRcO77CupO9iq2zvjzlW8zLLiPEljHL3LYdU7epQNPKGhBLqRu1w8fwOyO1KHlrxiGrW7LVl6OzUoALwAf/k8aqMJPT/58LyMWRC9Px59OjUogDxW0S48QMKTPBLDhjzg+la99mdXuzCAArz4O1Y9Rz4QvGld2Dyh/W08pDyqvClVEz0JZjM94cH9OPJh9DtMdFu9/ZLGuu8XXLz5Lv68WVSgvRoTAr32Z1e97DgBvKWyw7zUSA+95NutvB8xGbwHQSc9rfXmu3H+YLxHBTe9kbvcO2CkGz3fhL282s/nvDjDpTyBNZa8nnr8vHpOXLxCoe67kbtcPL19qTvpEfm8dTDFvLK3FD1GMTi9T98YPIJNSjsKmJe7Z8IyPbZq7roqD2I80nSQvOjUOLzAx0G9XJHgPP9Z7bzc6Rc9BuNBPAWF3Lq7qao7ft6lvCGnsryBKD48VGZxPAHqNryaGLC8+YEHPCFuWb2HUy28H5rau9bjNDzU9wG9+IxjvJuboTwe07O7aIlZOxSvubyjjTc8kPQ1O79RqDw6UfO8nm8gu5oYsDyDTUq8/TThOyscujsp9627YV7qvADdXrxh9ag5YyeNPIZG1braxAu8vpXdPNrP57yO3IE8NgfbOmFTjrxuEq66udUrPUxcp7nvXQ26dCPtPOPOVTzB1Jm8LrffvDt2f7oqpiC9ksg0PMCvDbyEZX482PCMu0DCEz2haCu8JlwIvHCVH7zIUJa9CzqyPO9dDb3H/4g7h1MtPFRm8TyLtfm8tYsTPZslCDt3wA69dxEcPHMYET1G4Ko734Q9PPf+FT17Cqc8HnVOO8Z8F734IyK9Qv9TvGIaNbwLmBc99ORlvFxA07zzBQu8MCIdvB889TrN1+68WbIFPX2Y9Lyo10+7JOTyPBLDBr3iZZQ7JlwIPPh0L71S2CO8caB7PC/cazyaxyI9fTwLvDv1CTypkxo8vTf4u+vam7p65Zo7fTyLvMxUfTyQo6i7MvabvDOE6Ty05/w8KVUTPSeMcLyAYZc8Rz4QPaZhNrx1pt47yBc9vKMiejtDRQW99/4VO/9OETyt6oq8SWMcvJmiljsQ74e8zGHVvFuRYDxncaW76DIePPNuTLy7WB09jRNfO1/QHL13y2q8487VPAqLvzzGrH+8vZVdvUQZhDz91ns7J9IhPTdlwLwjzD68ogpGPAbjwbvIaEo8dgTEPN8m2DvUAt48guQIvVRm8bqiIvq8/csfvXgp0DxgOV48C1JmvArpJLzfd2U6pQNRPLfI0zyuAr+7jRPfuxpkj7wIz3Q8reoKva4Cv7ulECk6Yz/BO/9OkbvxMYy64mUUPf+fnjnUAl68Hl0aPWJeaj0UomE8rhrzu0xcp7zB1Jm5h0bVO8qN1jniH+O7+rHvuj7ulDw8yQi9UQSlPG4SLjwC9467HnXOO7A/f7zH8rA68wULvY3PqTsdF+m8A0gcvWfCMr2Wzpc8PLywumA53rzEYmc5kncnPfkjojzVJ2o8q3L1vHnwdrx4y+o6jFmQu+3yzzuaMGQ9UKa/PN53ZTwDmam6z/z6uTGlDj0UUVS8CdxMvJ+H1LpsMVe8kAEOPY0IgzwojPC6iLESveZp+7yZUYk8OugxvRM5oLwW7Pm7uxLsvNm3M7yM+yo9/vArPby2grxaeaw8aV3YPFmlLbw5UfO7rYylPGjnvjxw2dQ8U59KPLd3xjqfzYW6710NPQefDDwNbBa8V96GOjXvJjyPltA6E6JhPQ9AlTy3d0Y8qZMaPdyYCr1bQFM6xFcLPIRaorz0e6Q81bHQPH6NGL01KIA8VGZxvErx6bzrzcM7UtijPPKnpbyEIUm8dCPtu9LFHb0OhEq7487VvH/22bqwP/87B7dAOsgXPT2/AJu83OkXPWb7C72153w8s89IPCpVE7zo1Di8tmruPEjMXbtm+4s8bx+GvIJNSrvUSI88M1/dvLsS7LzHUJY8HoKmvITQuzx6Q4A8AdICPGzTcbrAx8E8fph0u1hHyDxJbvg86UpSvCDgCz2IUy29SXvQPM1urTz7phO5rPVmOqFb0zv/TpG82c9nPfJhdD1nwjI8QuefvMVvvzvzBQu7Nal1O6pnGbyKhZG54sF9vPpVBjxQVTK8lGPauzDRj7wfPHU8rxpzPE0wprzkLDu8wK8NOuPOVbxS4387mjDku6N1Az12mwI8QqFuPLsHEL3jfUi8pKXru1D3zDxncSU79gnyPK9gJDy6nNK6sD9/PBDvh7tSh5a8DtXXvJG73Lu64oM6GKjEOjdlwDxruz29ekOAvPB1QbwmFte8v1GovMLsTbkrbce7NU2MvDKljrvBg4y8PwbJuwjP9LzVJ+q8/db7uViyBTxprmU8oiL6uz/58Lx+VD88A2BQvEx0Wz2ZUYm8Hl0avLsS7Dzed+U8KIGUvKco3TvP8R48JnS8u/KnpbyTBXU8HOcAvIV/rjy3d8Y7vvNCPNwBzDpoRSS8TboMPbGFMLyupFm88x0/vNaFTzykpWs8O3b/vMDHQTykpWu89CoXPcYrCrqUS6a6+qYTvMYrirzjfUg8lsG/vKGhhLyOLY880KCRvDTKmjwbKza8Ne8mPKDluT02QDS7iWvhu/QdPz10I+08nUqUvBraqLwfMZk87rl2vOtkAr2ruCa9izSEvLnVqzrFzaQ7rfXmOyxBRrwZVze9uweQvNDxnjz12Ym8pyhdvOM5E7wVDZ86iFMtvS1Z+rtWxFa8jPuqPCAxGb21La48Jv4iPbZSOj3w0yY8LCkSPDhyGD1MrbQ7jtyBPFKHljztocK6bx+GvFOfyjtCOC28dUh5PLtYnTxS43+8xB4yPQRgUDr/n566rYylPCd0PLshSc06JPFKuwxS5ryNIDe8iGAFvCeBFDwD94688TEMOmu7vTxGMTg9rqRZPDYHWzxCoe68sYWwvO7/pzxS2KM8xBHau5slCDxUZvE6w5tAvDzU5DxmE0A8ooDfPP9OEbyvvom8BZI0Otvcv7wzvUK8EsOGPPExDL0Xgzg9oaEEu+04Ab0b8ty8be0hvJaIZrwzX128RWoRu4XobzzWy4A81W2bumiWsbwaiZu8TdLAPOvNQzyeh9Q8pKXrNyMqJDy4j/q8FiXTup1V8LzYQZo8H5raPOMsO7uJkO06+77HPIRlfjxaKB87uCY5uxFlIb36ppO8GVe3vAVtqDvaz2e87TiBPAUndzyT4Oi8tToGOf3j0zyMWZA6wdQZvUftAj3QCVO8kAGOvJaIZrxvYzu9PMkIvNSZHDzNEEg8d8AOvGInjTq9LJw7TYGzPFuGhDtkP0E8sJKIvPh0r7gBO8Q8zpO5PDmKTLw8ayM6XRTSvOYAurx7Cqc8sZIIu372Wbz3rYg7i7V5OyIFGL0ry6y7D5GiPEjMXbgFy4260We4PF5ytzts0/G8TboMvRoTgrxdFNK8YrxPOhLbOrzTjMQ7AYzRvKVJAr0oMIe8wT1bPMvrOz3JdSK60LhFvJc32Tsiv2Y8b3tvvJppPb3//QO8FmuEOtzpFztZG8c8Gys2POn5xDyzfru8h7ESOtIjA71dFNK8MqWOuyTZFrz//YO85KJUPGqu5TwG40G8sfvJvP3Ln7y1ixM8reoKPSTZlrxDRYU8GtqovINl/rtNC5q8+C5+vd5sCb1KlYA8gkDyu6duDr27B5C8ZzhMvNLFnbtIwQE9/1ntvA7V17yK1h697M1Du5PVDL3JL/G7dMeDPF3DRDvwJLQ8T9+Yu3Qjbb2C/Dw9HJR3PMyyYjyhoYS8e1s0Oy2fK7zjH2M8+UguvANInDveJli8VcTWPLNmBz28Emy7nI5JPT0yyryDTUq8eBGcu2tqsDy64oO72sSLPLZqbjzTjES9UQQlvdPqKbwRH3C8+SOiOvDTpjtd/B08zkKsPEYxOL0cOA48/db7uhVerDuMTDi9ONvZPDteSzx3y+q79k8jPGx3CLzqHlG9KZlIvI3PqbsWJdM8G6HPu4S4hzxxN7o7OxqWPOM5E73k2628rTsYvF/QHL3ZCME76NQ4uwlmM701TQy8VVuVvCGnsjwWx+28aQxLPDy8MLtTNom8vLYCPRraqDzFzSS704zEu0bgKrz4O9Y8xGJnPAL3DjtiJ4256RH5POjUOD3iFIe6IrQKPVLjfzzoMh68BGDQvE+ZZzx8uRm8W0DTO7B4WLyIa+E8xMDMvEi0qbw5Ob+87hdcO9UPNjujxpA7wptAO7iEHjwoMIc8DHfyvLdfkrfNEEi8jjhrvM7MErxYsgW6oWiru3GVnzyEZX68X+hQvK6xMT3nMp68Gc3QPPkjIjz2CfI84zmTu1bRrjzzbsw8kiaaPHjL6rwGhVw8iA38umJrwjySPk685g2SPKIKxrr4xTw7Q5aSvMxuLTssNO48BW0oPDTKmjtQ98w8aq7lvDRstTy153y8/A9VOb6KgTwf0zO9QMITvPzW+7xaM/u7JaA9PE2Bs7wc5wC8gSg+PG3toby2ReK7lh8lPekR+bxMdNu7HK4nvVAcWbx1pl68Hzz1PIhr4bzy+DK8hw38uzR5jTugQx+6+epIvL6KAT0nxcm6ZEwZvcynhjxaG0e9UuP/ut535by+ojW7h/XHPGPJpzuxTNc8+77HvOpvXrwedU485Cy7vOQsOz1m+4u7pr+bvKvQ2jzslGo8a/2ZOw8scDwierO8KiQHPDAYP7u1NB88gfyJvD9tWzyPUSa8HlzavIoRDT2C1Vq991ahu//ZRTzO5Ds90nC2O88G/Lsx8ww9dg+rvGUrIj0MDaI7L9JBPIaqRDuNeUo70ZVovYaqRD33VqG7V9YFPS0eoz0dgwm7VEoLvZJLwrxGF688TQvnPBUipTzrINO8tIAAvfviG733L3K6rmUZvR8T67tuZVe9hjyjum1DF7sLWYM7aiLMvFtiAD0dgwm9jnbYPCm32jwgfSW8gh7KO5DjhLwm4nA9WvVTva4cKr2rsm+9TngTvDoIkDzHXiU98u9YPYFG7jsD1OG8I1WBvGtru7txGAG8bYyGO+0dYT3W/DC9xGX+u2xoST1YZmc9juT5vP4lJ7yYHTq9FNynPAGOZDxygzA8V/u3us0wnbkGYNw7iVvxvPl177z1EKQ8DlMfvSYGrrykdci8Cn61u3KDsDtbGZG8H4AXPbPxEzywGbi8d1UovVzyYT2t+Oy8BqnLvG8ZdjzEZX48cvHRO1Ygaj3lvHy8h6pEPEl/bLzgDkI9GEHzPNwXmLzPdpq8QLNYvRv0nLzLffO9SBQ9PG6uxryIyw88rfjsvOILUD02WFi8xYZJPf/+9ztqkO08fkngO/63hbzIp5Q74lQ/PLfovbzEG5q8l/n8PAx7Q7z9k0i7cajiPKkm9TxHYB68Sw7ZvPyWurzg7IG8e+GiO1WQCL1Mxem7lo5NO2XiMj2d7zG8KJUavbp0OLwnusy7lJG/u0bzcT1xzxE9NKS5O4p/Lr165BS9OnaxuX8krrv9Tcu7QdeVPPxxCDyT3SC80E/rOsxVzzzZZG69pwQ1PDQS27ypkyG96pHmO3cx6zzA/cC8T+Y0Pdf5PjwtHiO9i6HuvEygNztxGAG9Q2YCvQBsJD1O5jS7Kmv5vPR+RTxNwvc7m4V3vU2dxTsFY866Q2aCPC6wAT3k46s8X6WLvREp/jycqbQ850vpvLfDizxGhVA8pOPpPH9tnTyfWuE8epslOui4FTzNeYy7OMKSvKpHQD0tZ5I80bwXPbE7+Dw/SKk8AWkyPRiK4jxnllG8daL+PI1UGD1M6SY9XIRAPWR3gzu8KFe94+YdPS6wgb1Rcq86Jb2+PHh36LwVkEa8gfwJPAfNCD2qkK+8PAWePSpJObxcO1E9Q4s0vK2v/TtyFQ89MqerPFGXYTz6UD29bve1PJ+jUDyy8RM9tDcRvaW+t72xhOe8L60PPJVsDTxU2uw7+ApAvKB+HrwZ09E8w4k7upbXvDx1fUw8H4CXOiprebyurgg93cs2vdcecb3bzqi8LolSOx/Jhj3SJ8c7PU6NPbWiwDyqR0C9K9glPI0w27tlKyK9DS9iPU9R5LzpSPe5lo7NO7I6g7t74aI8M4D8PBEpfr11fcy6tzEtO3A9MzzC1Rw6VWxLvDp2sbt1NF08rWiLPEzpJr3CQz69NnwVvCLoVD3qtSO8mxdWuyRSDzzuQR49DZ+APaB+HjrkUU29jQupPBX+Z7wnusw7z3YaPfu7bLxNewU95OOrvDktQrw4ntU8ZeIyPO8+rLxxqGI8P23bvOUF7DuPCLe705J2PYzna7tepQs9w2V+PcFo8LufNS89iDmxO815jLzMDGC8/UrZvIPS6Dwdyvs82IudvCrbFzwWa5Q83V0VvVHgUD1xqGK8bI17PPQ1Vr2aPgW9+r7eOm+JFL0LWQM9Ynj4utS2szn//ve8yn3zvEdgHrycO5M8WfhFu2KfJ71OeBO7ocQbPUPUI70q2xe8s1zDuz9IqTwldM88hc92vAfyujsd8aq85nIYvGCimbytaIs81G3EPFW1urvkUU29zjCdPPmcHj2s1qw8h15jPb3c9bylmQW9CTi4vLcxrTv9Stm7i6FuPc4wHT0NL2I9OggQvWa9gLxurkY9wP3Au4szzbvy71g8+3J9u+pId7xepYs8oy9LPfmcnjvXjg89njihu054E72mcta8pQenu/7cN70pbms9dFuMvJr1FbzvrE09KtsXOqeWkzqNeUq9FrSDPA540bpOeBM8wh6MOzdV5rwyXjy83TlYvDjCkr293HW9U5RvPHQSHb21osC8u70nPCIMkj2jU4g8CTi4PFFyLz3BRjA8zjAdPMmkIrrU/yK9B80IPQD+Ar1jnLU88u9YvQo1xrwyFc08sKuWu0NmAj09To28IZ9lvEk2fbpDHZM9STb9vN6mhDxCQsU7FCUXvP1NS719J6C8CM0IvLXHcrwIXWo9cvFRPW1DlzyD+Rc9l/l8vfwoGby4U228iVvxu08sMj2qkC+70L8Jvdk/vLzYG3+6XoFOvU9RZL0XH7O8QrBmOu/1vDu0gIA7MfOMvY6dh7wPLPC8n1rhOzPJ6zz//ne8pb43PWTlpLx0Ep284DP0O4+/R711ov47fklgPeYpKTyzpTI98zhIvbsGlzxmTWK9bxn2PIlb8TxWaVk9qyKOO8XPOD1epQs8p7vFvMKxX7wW2TU90QWHvG5l17yX+fw8fZVBPGZ0kTu6UHu6wWjwujZ/Bz0lK2A8Hcr7PFaySLtRvhC8l2kbPMrGYr2LfLy9UZdhvSHGFLw6CJC8hPYlvWPB57x3MWs7IFlovOMvjbxbYoA7bq5Gu/bEwjwQB768Yp8nvP9H5zzldQo9RK30vFw70TxLNQg9TVRWvHV9zDzT22W8czrBO1ivVr3x8kq8HPScO2xoST1jCte8pJp6u1X+qTuIgiC8yaSiPNGV6DteE626UwEcvb+SkbrIzEY7uuLZPKHEmzyScHQ92fbMPCpJObwvrQ89q7LvvPcyZLxQBwA9Nn8HvM4wHTy5CQk9jQspPNyneTt+SeC805L2vD1ODbxz7t+8XoFOPKuy7zsIFPs8Zr0Avd8RNLyLoW486iNFPT+2yjzNMJ27BB3RvEQ/0zzYix28MfMMPcnJ1LtocR+9/ZNIvZo+hTzJgGW8aSU+PRZrlLziefG8qdwQvcdepTv/R+c89H7Fu3mbJbychIK8TywyPVwWH71mdJE83V0VPTYzprxuQCW9EOILvXrkFD3dFCa80QWHPN1dlbyTJhC9E0rJPIenUryHXmO9AP6CvDgLAj1Koym7Jb2+PE4vpDwjVYG85XUKPAnKljua9ZU8e+GiOclbs7wu93M8vN9nPKrZnjyBs5q8iIIgPOMvjbzUSBI8L9JBvAEgwzvt+C68kkvCPIWIBL1lUNQ6yPADvMp987yTJpA8Hcr7vBDiCzzO5Ds99FwFvDsq0LxrRgm9Jt9+POPmHbwWaxS9Nuq2PP7cN7urIo47O5hxvAeEGbzracI7fEzSPHxzATvCsd+74y+NvE/jwru+ADM7fyQuPLKopDx5UrY7dX1Mu5yFd7xRux66vgCzvDZ8lbymKWe8y1hBPJUjHj0M6eS8q7LvPCQuUjyOdti7mGYpu8vqnzwepUk9ViDqvFmKpLuKyB080JjaPKMNiz3j5h28UuBQPA8scDzPBvy8Hcp7vMxVT7oLx6Q8yn1zPGCiGTwXRGW8MzmKPFIEjrw2fJW7FW4GvGDriLwHzYg88hYIOmMK17u5CQm7hGTHPHM3zzswGL887EQQPQC1E73AkhG9e09EvBwWXTzDZf48jVQYPL4Aszu3MS29Vtd6vFNvPbwmBi49knB0vE/jwjxJyNs8RvPxut6mBD0XjVQ9R6mNvGrZ3DqwGTi97z4svGZ0Ebv4U6+867WjvZX/4Ltptxy9EigJPEH8R7z74hu9Jt/+vB3K+zv5nB49nDuTu2cEc7xcO9G8YOsIPKW+Nz2mKWe8CF1qvekBBT2Xsgo7T1HkvJT/4LqScHS6UXUhPB7uuDl5wNe8DS/ivF817Ty8KNe82Iudu21DF7hnKDA6cajiPJRIULxW13o8uncqPMaqBrz8ljq9MhXNPFG7nrzjnS49rmWZO7xxRjzfyEQ86Sa3vHmbJb2FGOY8RjzhO/M4yLzyXfq7d8PJOrAZOL2lmYU7RD9TupX8bjxnltG8m87mvBWQxjxYQTW84lS/OLI6g7xJNv27QGrpOxa0gzwx84y87dTxvNGV6DvlLJu7Zr0APcTSKrsJE4a8QUW3vHWifjxGhdA8Jt9+O0MdEzzj5p28mj4FPaTjabugNS88DgqwOzRbyruT3aC7LR4jPW73tbv8lro7YH5cPHM3Tzy9A6W8q/tevNEFB7sFPpy8v2viO2A1bbxuZVe7JSvgu6yNvTyjeLq7sc1WvAvsVryV/O690wIVPYiCoLse7ri8usAZPL3c9TxWaVm8liAsOyJ6M7wLWQO94nlxPHSlcDxz7t877dTxO1qHMj2Yi1s8TDKWOybffrxIphu9hqrEPB8T67w9J948V42WvE7BgrzgfOO8aW6tvCuPtjkHhJm8M4D8PIY8I71pJb67Xsq9PKzWLL0u93O8kyaQvAL7EL04CwI7ZC6UO6siDj1BjiY94y+NO7I6g7ykLFk8//73ucLVnDzIp5Q8ZVDUvHOl8DxNnUU8rmWZvLUQYjyD0ug84MVSPcKMrbwvrY88W2KAPP7ct7xinye8EJkcvaEyvbwxYa68t8OLvLCrljwD+J66pONpvLcxrTxmdBG9PU4NvSbffjzLobC8xc+4Olpj9bvKxuI87/W8OhZEZb026ra8ALUTO3cx6zyP5Hm8bkAlvTGqnTzzgTe81EiSPWZQVLzm4Dm8liCsPLrAmTvARjA9qZOhO3uYszyVI548FG4GvUaF0Lsg68a8abccvZJw9Dy3Ma28a0aJvMmkIjvJydQ8o1OIPGkADD3xzRg8z1Ldu98RNLtW1/o8z3aavFQjXLwyXjy83qaEu2+JlDnFzzi8Y1PGPJTaLjtU2my8C8ekPFBOcj0kUo87oqBevL2VA71wPTM8wNgOO53vsTzZZO66GRxBuzPJ6zuuroi8KtuXPNLeVzom3/67JpgMPDKnq7vX+b4717DPvKgmdTu3wwu9h86BvHZYGr0vZKC7SBS9OlYgaryB/Ik8JMAwPfnlDT0/tso7b2LlvIdeYzt74SK5aQAMve+Hmzx0Eh09KtuXOur+kjwFY8671EiSvGdxnzxsjfu8mIvbvI0LKbzQT2u8UbuePAnKljyErTY8GfcOvU7BAr2A2My7oenNvL63w7yDQoc7BT6cvKW+t7uV/G48x14lPV4TLb383yk988qmPHdVqLxzOsG6QvnVPNn2zDzzOEg8pCxZPD0n3rosIZW3soRnPXmbJbwUJRe8LolSu0s1iDycqTQ8YQ1JPUwyljwNL2I8D5wOPdOSdrx3DLk8zFVPO+0dYbxpbq08++KbPHZYGr3gM3Q85SwbuwjvyLzJyVQ8Tua0PJiL27wEGt+7ArIhvPxxCL3tHWG8JFKPvP63hbwvG7E8W2IAPMo2gT00Elu8KZIoPXV9TL1MewU7WqzkPIH8Cb3pAYU7xBuaPNgbfzvSuaU8vZWDO4rIHTytQdw7KUm5vC6wAb3qI8U7CRMGvRG7XDwkUo87NnyVO25ApTuDQgc8og0LPKKgXjyarCY9IVZ2vPbp9DyG8zO9pOPpPHHPkToW2bU7rUHcu9hCrru+blS8BmBcPdPbZT14VSg8t8OLOl5fDjyLfLy7KN6Ju6VQlrutQdw7Ax3RO8eDVzwxYS68JStgujmbY7xZ0xM79TVWOUhdLLyZZqm7KN6JvBqH8DrUSJI7wLRRvOz7oDxncR88PU6NPCDrRr2jeLq8Q2aCuhEp/jyRTrQ8KrToOjIVzTolK2C74gvQPPvimzxY+MW8i+pdvV6lC70JODg73YLHukpaujy1NB+92T+8vOgmN7u5Lru7Xe/vu9OS9rvFhsm8izPNu7AZuDybYMW8QkJFPLqZ6rw/kRi9nIQCvH1wjzt+2746VmlZuxa0A70oTCs7Ff5nvDQSWz2KyJ03+uKbu6dNpDyjChk9fLpzvN8RtDv+bhY8owqZvNBPa7wQB748xfRqvJS28TxcO1E8JC5SPAzEMroNVpG7JpgMPd9ao7wjVYG8MfMMPM8tqzz+twU8+MFQvX1wjzu93PW86Uj3PHd6Wjwqkig8wfrOO2iT37z8KBk8QrBmvCxD1by3wws7+wTcvMp98zyJNr88Ax3RuK/QyD2vh1k8gfwJvKMNCz14Lvk8bR/aulC+EDuioN47DVYRu9S2M71chMC8nDuTuwugdbz1ogK6j1GmPD1OjbwD+J696pFmvDU2GDs9cE28og2LujyVf7zgM3Q8p7tFvd1dFbyE9iW8cKtUOxRKSb1IFD08C1kDPbPK5Dw8BZ67x4NXPHV9zDyWjs278zjIO0Y84bukdUi6p5YTvY4wW7yMV4o74ekPPCuPtjtgEDu81P8iPYGzGjyIgqA7h84BPRWQxrvMDGC74umPuog5sbq2fY664wvQuzZ8FTxssbi8tn0OPB2DCT2QvNU80nC2PCvYpTm83+e836MSvVj4xTxsaEk9FCWXO5MmELv07Ga7z78Ju9YhY7zAtFG7yPADPaLmWztlUNS7bUMXOwgUe7wHhJm7TsGCPAkTBr3HzEY9FrQDvAjvyLwbPQy9l2mbvL/bgDk07Si9NqHHO7I6gzz4eOE8/U3LO83nrbzA2I68gfwJPWcEcztyFY88/ZPIOsDYjjv3L/K7kU60u7Q3Eb1aPkM8fgBxu93waDx5m6U7qpCvPO3UcTx/tow60HMou39tnbwrIRW8VEqLvMC00bkGqcu8N8UEPJDjBDxIy828yn1zPIg5MT0g60a8f7YMvfOBtzwZrh+8chUPvbbrr7o26ra8DZ8AvAWHizx8uvM8PU6NvIVhVTx/tow7YVa4PIPS6Dxl4rK7noGQOq7TOryZZik8BEGOPAVjzrsYiuK7UbuevA4KsLwo3ok85FHNOyUr4LtkLhS8qtmeumDrCL1jCte5XoHOPJMmELu9lYM8zjAdPOZOWzxf7P28mYhpvFf7t7wg68a8GPoAPF/sfbzKxmK7WmN1vKZyVrw3Vea8hK22O/NchT1Nwne8uQkJvZDjhDuD+Zc89VkTvL2Vg7zxO7o7FUfXO0zpJrw2fwc8y1hBPDh5Izwv0sG7/m6WPOS/7rxb0CG8RK10vF/sfbxn38C7Jt/+O1eNFjxX1gW7SKYbvJK547xu+ic6kU40PWiTXznW/DA87ooNOuna1To26ja7CBR7va347Ly3ehw9bvc1vNk/PL13etq8kHPmvJjUyrzZ9kw7JuLwvPwombwm4vC8nPKju6gBw7yScHS8xYbJPDee1Tn26XQ8R/PxO6EyPb2zyuQ7SV2sOilJuTzCQ768wEawvCIxxLwl4vA7Z7oOvGUrIjxIppu7ulD7uy1nkjwsQ9U72hoKPU0L5zjxOzq8GhnPO/OBtzt1fcy6zy2rPHrklDzSJ0e9Hai7vOB847vh6Q+7p00kPY4w2zzuio05u72nPKpHwLwc9Jw7cPTDu/efkLytr328jFcKPX0noDzVkYG8D5wOPHPxUbxbYoC9GdPRvDKnq7ynTSQ8gWqrO3fDyTynlhO6fd6wPKffAr0PnA69OS3CO/1K2bykdUi8OS3CvNNLhL2DQoe8bq5GvKcENT1TAZy8rR8cPN1dlbwAtZO8+7vsPPR+xTx4VSi8O7yuvBDii7xW13o8tTSfPClJOTvJWzM5njihPMP3XD2aPoU7wh4MPW5lVzxZiiS8CBT7u0ygNzwFh4u8Ga4fPO1mUDxNncU8HfGqvKHpTTzPdpq8HlxavDGqnbtyFY+7qkfAPOxEkDxTuKw8yRLEvJHgkjzHYZe8s8rkvI6dB7yKyJ06PU6NO6wfnDx6veW7dKVwO5dpmzxygzC8pZkFPcRl/ruBs5o87PsgPf1K2bsD+B48tMdyOyIxRL0LoHU8tKUyvG/SAz0wPXG8tDcRPDgwtLzd8Oi7Ynh4u38kLrzIpxQ8CROGPIFDfDtDZgI9QY6mvFw70Ts9Aiw7liCsO/woGT3ZiKu8krljvHq95bzYQq67fXCPPDjCkrwZ9w67tzGtO054E72NVJi8InozPAwNIr2HqkS8sxPUvI9RJrzwqVu84wtQPBrQX71kd4O8LYxEu5PdoDw9BR68u1D7OhQllzyPmpW6q/vevBVuhjuE9iW9wI+fOwJEgLwZZbC85Sybu2F76jpPmtO6sjoDvdiLHbz836k8gY9dvPYyZD0xYS68Z7oOvScDPDyBQ/w6QA4tPQK1nTyaz9O8ycDAPOC6tLliCBY8xVUYvFACtjypZBW8PBoZvdYYgD2YdoK9awsGOy0jFTxqDoE9DIX4O7s91jzaPTU9S4K7vCQgJT0Ijuk8t1sZPDlmgryeOny8UnDZugqLbjx7RYK8sT1hvGPtzTyE6jG9V/NOPEsOIryuQ1e8BK8nPOgcbDzZtMk8MRokvWn5rrxHi6w8njp8vDUpgDyxrv+8V5cCuvYTcL3ZtEm8DbIXvDX5ZT05II+8v71QvA0mMToYgnK89UaFPPZDijvin2w9DyM2vJzhKr30GWa9d/AyPYX/Az3hK9O8OAu9PIRb0DvgRpu8t7rgvNW9urywQFy86DS5vOyfYT2C7Sy8KBe0vKxhmj0IpjY9/7oTvSImGztN8F69HaaguxYpIbuW8BE9MQLXu7rkhDuO6qY8rbrrvC4LyLyzT7g7aYWVO5rPU7wuC0i9ik/kPCMjILzppVe8O3ngvHKIBb1IFBi71ytevLNPOD1w/xm9d3yZvPZDCj1lAiC9XhEHvF2Imz1M81k8HI5TPCiLzbw7eWA9HB01PSoUuTxGYAG866JcvaNeqjskIKW9YmTiPHjV6rvZnPw8ER1APOhMhj33hoK8WXk/PRAgu7s58HS8nlJJvNPANb1Gjqc89is9vP69jrwPr5y8c/mjPN0fcjyyOmY8klLUu6638DueUsm8hcxuvAOyIr3Nzxw89kMKPfdAjzsBiH68tmEPvXCLgD3bIm279rejvVqOEb1GYIG9s0+4PJ/btDwDPgk9IrIBvOAuzryCeRO9Ln9hPOU6L7wxAle8aeFhPDAdHzwLoEC9xT1LO/W6Hj0hEUm9hXOdPFOIprzhK1O9MQLXvDWFzDuY0s67oNi5PGsLhjz2E3C9MnbwvBMaxbw8Aky8t16UPDGmijwmqZC8s2cFvTQULrwxGiS89I1/vWsLhjtvdq67D6+cu4J5Ez1kebQ8nsZivVyLFjy8JII7l2GwvJdJY7wRNY27v9iYPPWiUT1LDqI648yLu9WlbTy65AQ8wDFqvJxtET0foCo9zEYxPFL/Oj2RQP081b06PXv/jj1Gdto758OaPBGppjuh1T68j3MSPQY1GLxH/8W9sclHPQWsLL0UF0q8rkPXO9VJobxDIIS8w1sOPWIIFjyzN+u877G4PQYgRj2WZCs92lWCPFJzVDwwBdI7cvyePONAJT0FC3S7/ai8OnKFCrzDoQE966Lcu7Rkir00oBS9rucKO9Q0zzxcc8m7XIsWvLvhCb3WGAA9BgV+u4zYTz2WwHe8ffmYPMNbjrwrKQs7QBEovYTqsb31up68rdI4PEn8Sj0ZI6u82lUCPak3drzttDO9r+QPPM3PnLtzhYq8nMldPbRkCjyh7Ys8WJQHPAy1Er0Nshc9PhQjPN0fcrzA1Z08YNv2u9vGID3zSQA9DLWSu9E6RTxJ/Eo9zbdPPXz8E72/NGW9kED9OyijGj1AEag8tWEPPFdn6DgNspc8zliIPdPANbv4Dfq8V2dou6xJzbs9owS7d2RMPZ9PTjt47Te96KjSux6jpbxrfx87d9jlPKXkGr3JwEC880kAvU4IrLwoo5o86hlxPaRbLz00/OA8Ng64PcnYjbx/Uuo87bSzu5dJY70oi028o0Zdug0mMT0jlzk9MQJXvZh2gjyTUlQ6C6DAvOWuSD2yagA8ltjEvJfVSb0Spiu9IiYbPUV5VTuwQNw8Pf9QvEf/RTzcwyW8CKY2vcBhhDv0MTM89rcjvVAaA7yT3jq8R//Fu626a7wMnUW8smoAPS8gmjx7cC09iVLfvDwaGTwvCE29HRe/O8uifbtwczM6Oh2UPFyLlj1ifK+7ArWdO7U0cD2hSdi8Z/ypPP69DrxFBTy75caVvO86JDwmkUO88CLXPH9qNz33hoI9rUbSvHz5GLzQsdk8b3OzPCemFb0HHcs7OJcjPN03P7j1RgU9yR6BPIlqLD3bxiA9P+OBPNBVDb0+iLy8iOFAPFWCML3bOjo9MB0fOkH237wwHR89PnDvuweR5Dqy3hm8C7iNPHl2o7qFc508E6MwvAm7iDzLuko80MkmvLFVrr2a5yC9eQIKPXTIgjwwkTi7bnmpPIF8jj1ehaA7gPMivPCT9TztKM08qUxIvEJn/rzAYYS8awsGPbXYoztw/xm7OSAPvI3V1LwdFz88AyY8u2HzQz3uyYW8zViIOpftFjrST5c92J/3PEIIN7w5ZoI8Tu3jvFVqY72OXsC7A5pVvcsx37vROkU9Qmf+PDmUKDwLFNo8ZouLvSOXObycyd08qmSVvDzq/jvxH1w7uFsZvVDq6Lwxjr08hOqxvLcuer2VT1m95CXdvAGIfryRyWg8Xvk5vQ+vnLx09qg8WQUmvFOIJjy+25M81DRPvFRt3rqeUkk7uz3WPEuaiL21MXW8W3ZEPW8CFT2RcBc83E+MvXH8HjxB9t+8Q3zQPPquMj0xpgo9wNUdPSyC3DxKhbY8W3ZEvczSlzvQPUA6CBpQvV/hbL0Qkdk8FBRPvF0UAjxHFxO9m+SlOx0aOj1g2/Y7/TSjPIRey7xtZFe9x65pvMTMrL1TiKa95x/nvF1wTruK8xc86KhSvd9JlrxajhE9/4r5uyMjoLxycDi8+zeePL+ofj2RyWi800ycPKVAZzwUozA9tTTwvPDGCj1Zeb88Kf9mvBIyEr0Nmsq8+gr/vEyXDb194cu8bAiLvO2cZjyuz727vk+tvJrPU7zMRrG818+RPFt2xDzQsVm8+iLMvGIIFrwRNY07pM/IPMnAQDzppVc9yE8iPFoCKzwaCOM8gmHGOxW1B7tm/yQ9QZeYu4ZworvxNyk9ycBAPBWI6DwHHUu7GzWCvJbYRD0p/Gu8XhGHPIR2GDx5diM7Sp0DvXdkzLtCIIS7uFuZPRGpprq2p4K8vjfgvPaf1jxpbUg8d0z/PJ1qlry9rvS82smbvEARKD2f8wE4iWosPcu9RbveTJG8T5GXvGvbazxrfx88DZpKvB6LWDzEtN+8ykksPUV51bwPIza8/TEoPbanAryERv68pVi0vAeRZDw3Dji8fMz5PKlPQ7uxsXq8aFj2u9BVDb3wlnC9aOTcvLLeGT35mWC7rEnNPNJPFz2svea8DzuDPNPYgjyxyUe8TAsnvIpnMbyTaiE9juqmPDB56zxz+SO9BIGBPByO0zzvxoq6pVi0Osg31bsBFGW8YX8qPa63cLz+AwK8yR6BO6pMyLxAbfS7kvmCOY15iDw0/GA7HB21vI1hu7z3tKi7pM9IPcXJsbwnAmI8d2RMPFiUB72F/wO9QG30OzwCzDxTiKa6Az6JPN9JlrssDsO8zbTUvOg0OTwzi0I8zyjuu0AOrTtdFII8HI5TvOxDFb0iDs487skFO4lqLLzowJ87P+OBPI1hOz1hf6q8x1IdPfofUbtdFIK7rkNXvGTtzTsaILA845zxvPk9FL3kJV27SoW2O2nhYT2fwGy8sjdrPB6LWDyAfwm9GqyWvOU6L72QQP27qWeQvIjeRTyFc528k9s/vGvzuDzsE3u8nsZiu6k3drw+oIk8NPnlu3bbYLx7c6g60jdKPafJ0ryAfwm8SoU2PZXDcrwPO4O7SvlPvOPMCz1J5P07wS5vvLFVrju8Ols8oGSgvNzDpbwxGiQ9nWqWO2re5jwvIJo8vN6OvKNeqjw5CEI945zxvOerzTzBXom8v0yyvGDb9rrV1Qe9OH9WvTqRrbzKSay8Sp0DvQKd0Lj2n1a9NBSuu7+90Lv2Q4o91TFUvFZqY7yEXsu7TgisO49bRT3jnHE5SvlPvfaGgjtl6lK65x/nvItktjwp/2a8FRHUOrxSqDwRqSa9isP9vHtb2zwqiNK8T5GXuxadOjwHHUs7puEfPYX/gzo8Gpk8mEboPOJDoLwUozC9tUw9Oz781bw1+eU8o9LDuS4LyDtXf7U7dk96vPQZ5rwKF9U8AYj+u6xhmju/vVC7PI6yPC0jFb2aWzo9tcDWOYf5jTz2Qwo8BgV+vKnDXDomqRC9UBqDvBF7AL0BFGU8M+mCuw2yFzysYZq8KxG+vHZPejwalMm8KBe0O+erzTuT27+7mF41PIFkwbywtHU7lGcmvAIR6jwisgE9ZVvxPGpqTby3uuA8qcNcumBq2LxPYf286aXXPNYYADvW0gy8jryAu/yQ7zxMf8C8AYj+u0n8yrxycDi8AhHquwm7CL04Iwq9QIVBu+QlXTuL8Jy8MY69Oo15CL1q9rO95TovuaDAbDqPcxK8st4ZPP2ovDvsty66WwKrO3vnQb36rrK8f1LqO4HCAT3CulW7vCQCvHl2ozxFkSI9PvzVPDEC1zvsK8i79UYFvKVwgbzST5c8Oh0UvRQXyjyh7Qs80h/9vPaGArv0jf+8nWoWPbangr2W8JE7b17hPLw6W7zFsWS8KhS5PHtFgrsmHaq7RmCBPN5METzEWBO7tUy9vMir7jtTiCa8OJcjPGORATzTwDU85TovvdnMljx4eZ47WQUmvEcXEz1QAjY8v9iYPK1en7yi6pC8xLRfuxCUVLz+Gds6HRq6vDPpgjv7N568QWr5vMMr9LuhvXE89KVMvFZq47tjBZu8/TQjvbTYIzxBmhO8h1VaPFd/tTpClB090VISvK3qBb1qghq8xLRfvDSIRzuF5za8C7gNvf6lQbw4Iwq9OPPvPBwdtbtC82Q7UOpovGnh4bv5sS08DCksPLhbmTzayZs8nsbiu8RYEzt56ry8pOcVvAqjOzw1hcy5yjFfvNxPDLz2Qwo9N/ZqPNNMHD0jl7k7n9s0PDvtebyvWKk8k/YHPPZDCr3HOtA7KqAfvByRzrwUi2O7Az4JPJVP2TtbdsS88JbwPMu9RTwlfPG860YQPHV/lLyO56s6fVXlPFzn4jwxGqS7UAI2PMzSFzxd5Ge8FC8XPLvhCT0r+fA8WJEMPXKIhTwQOAi8KqAfPcBhhDyT9ge9RupzvGn5Lr2SUtQ8YX+qN9rJG72/wMs7zC7kPCIOzjwimrS8cM//vLPbHjo9c2q8hf+DvBiavzv0MTM9Ipq0uhkLXjyT9oc8TwWxvJRnJjx85Ea8WQWmvGJ8L7vjQKW8bfC9PJtwDD1ADi28rNUzvdUx1Dwuf+G8BZRfvFt2RL0CQYQ7FBdKvO20s7v5sa080MkmPRIyErz6Cn87MaaKPP0xKL3inHG8dttgPIjJczxW3vw8xiX+PFcLHLw+FKO8d2TMPOxDFTjdH/I7smoAvVkFJj2+w8a7I5c5Pf4DAj1d/LQ8vDrbPGt/HzyhYaW6JgVdvHleVjvWovK7gdjaO4n2krznwxo8CBrQPBkjq7zEQMa8xFgTPSijGrxTFI277ZzmPBp8fLwfoKq8M/9bvQYgRr1QArY86b2kPGPtTT0wBdK7r1gpPUUdibzRrt68UAI2PQydxbw3I4o7v8BLPWELEbr1olG8Bgj5OdmcfDzDWw49vDrbvE1n87tn/Kk8ALgYvGLY+7s9owQ8hHaYPEqdA7pOCKw8yKtuu1Zq47qkt/s8ZltxvBYR1Dw0ETO9nFXEPAepsTw/bfQ8va70uyMjIDte+Tm7e+dBPe0oTT0DPgk81DRPu9fPEbwTGsW8lkxeO0YCQbwLuA08VmrjPM3PnDyeUkm8zswhu2mFFbzjzAu9PaOEvMNbjjtYeT88DwhuvCijGjwZC168kmohvD6gCTw77fk8VYKwPH/2nbx/9h27dPaoO6s0+zqtXh88lsB3urdbmTuLfAM9Tu3jPEtq7rsHjum7juomvRW1B72uQ1e8xFiTu9HGKz1RF4i8qMbXvNqxzjucbZG7bgWQvI52jTzOzKE7CDIdPN8xyTz+pUG8Az4JPRWgNTz2n1a9HaaguwsUWryYRmg7UReIvHP5o7yf27Q7u1WjPE7t4zwsglw8PHZlPNHGK7sjrwY9zC7kO9Yu2TuA21U7avYzPMwuZLxQAjY9dIIPPCsmEDz2E/A8sa5/PEUdCTz1RgU88MYKPf8urbyRzOO8DIX4vOSxwzwxGiQ8Q3xQvbanAj0IvgO9vjfgO1l5v7rQPcC6vjRlPEzzWbvSq+O7j1tFvMAx6ryE6jE89DGzvEBtdDvYn/e6QZqTvOEr0z2u54q7iG2nu/yT6jzRrt489L2ZvBKmK7ySVU85vFIoPSgvAbxS/7q8MY69PDyOMjpQds88M6OPPOSxQ7crnSS9RxcTuyd2ezxrCwY81tIMumX/JLw1hUw7cP8ZvZs997sqoJ+7L6yAvLrkBL0PO4O7plU5PTAFUj2/TLI8fVXlu415iLyN7aG8FSycOmltyDq74Qk77ZzmvFQRkryk5xW85a5IPGltyDuF/4M8WJSHPCapED0LoMC6Ipq0PH35GDsqoB86eQIKO1xzybzNWAi6WXm/uu49n7x3ZEy8WXm/PFAaAz1Lmgi7GZdEPQ+XTztDlJ28sVUuvNZGpjxQGoM890CPu3bzrbzoqFK7LvP6vFL/OruNeYg7uFuZPLU0cDw58PQ8MY49vB6jJbyAf4m8XOdivLw6W7x3fJk7Hi+MPCcar7xMf8C8mNJOu743YLzM0pe89rcjPAm7iDokIKU7KvzrOXzkRrz2E3C87bQzPJtwjDyAZ7w8rUZSPJLhtbu+w0a6qdupu0ILMr3RUhI8UAI2Oxadujw+oIk8s2eFPDcjCrvdNz869KVMPCSsC72CeRM4ssZMvDcLPbxifC+89rQoOpheNbwLLCe7cP8ZO4t8AzuLZLY8u+EJvVOIpjqhSdg8slKzutuuUztaAiu836XiOj/jATyXSWM9m+QluxQvlzpc/y878Jbwu3dkzDxrf586eAWFvHcIAL2QWEo8eGFRPIhqrLkKi247smqAO7zGQbz0GWY7lPOMOspJLDvtzIA8D68cvP6lwbxFkaK6x1KdPLKu/zts2HA8Zf8kPK26a7xd/DS9Ifn7vFMUDbyoOnE7Ln/hPJ9nG72c4aq8hOqxvKnbKb156ry7MXZwvDoFRz1wW2a8wNUdvfklxzzSwzA8gdjavIFkQb1TiKa8FKOwPDzq/ruy3hk9g9XfOkYCwTsJL6I75ze0u+jAn7vgRpu86TE+vK9YKTyVw3K8KRQ5PDcOuDwmBd06ssbMu9pVAr05ZgK5VYKwPGvzOLwHpja8TH9AO/Koxztci5Y8GjWCvbXAVr3Iwzs9+6u3u2SOBr0ODuS8zkC7O80r6by9q3m7TPNZvA8IbjyRcBe90SL4O2vzODw9/9C7zEaxPK7nCryJ9hI9seGUPAepMb30pcw8Gnz8OxeFbTzVSaE7uuSEvAYgxrwVoDW8XhGHu7HJx7r4EHU8FYhou9m0ybuc4aq8TH9APZvkpbxZ7di8DbIXPVfw07vvsbg8plU5OpTbvzyD1d+8B5HkvPyQ7zxf4Wy7aOTcPK7PvTwoFzS8PqAJPM3PHLs4l6O8XP+vPF2IG7ybcAy5Y5GBPP6N9DuHVdq7QguyPO6Za7wEOw69U/w/vMmo87uXvfw7X+HsvP4DAj0Ysgw8Tu1jPDkgD7xggqW7x65pu4BnvLy6tOq7jtJZvI15iL1Cf8u81THUu0GakzsTjt68bwKVPA87A7wWnTq9PnDvPGt/Hzz9wIm8ZlvxOzGmCr2uW6Q8UHZPPWD2Pjxu1fU8e3CtPF6FID0cjtM8RgLBPOK3OTxLgju8TAunPNSo6DyaW7q7hlhVvJFYyrsMncW6gu2svDF2cDxQGgO8KyYQvH/2Hbznq828Y+1NPJP2hzzdq1g8vMZBurHhFLyg2Dm7HaagvM5YiLyX7RY9BDsOPMEub7wWKaG8w1uOOxOjMDzbxiC9qjR7PLFVrrzwrr08bAiLOeBGG71galg7gXwOvcc60LxKhTa8ampNvKk3dryoags79L0ZPXxY4LsIpra7C6BAPD1z6rypZBU8Qgg3PI7qJju6tOo8bwIVvY7S2TvvmWu7UuftPNE6xTy/2Ji8QyCEPIlS37w9c2q8bfC9u3ZPerw5II88u1UjPGLwyLx0akK8BpTfPN8Z/LxtfKS7+joZvBgOWbybWD+8tknCPEZ22rw9i7e85Jl2vHD/GTyP5yu8FC8XvNNMHLz0MbO7Qwi3vA87gzz7N568EXuAu3bzLThbdkS8+SXHu4tktrxhZ108SBQYvNBVjTpi2Hs8VwucvCaRQz3iz4Y8OAu9vDqRLbsaCGO8BwgfPIjTuDwJ/Bm9LeJuPJD307tFvus7QNZ1vPO9rzxrtLc8SmUWvcT5MD3J0+i8Vhu/vG6vET07tJM98R8dvC+VHj0KUgI9nQpEvFU1gjxJCE+81Pk8PISCdrwK23c7ydrHvOvhvjw2FMg8ecenO4KcOT386Km8gaOYvPDQk7x8A007bQogvE73ozwDvru8ingqvcQAEL0PHny8a6b5vMwWbTy9ZWq95fnIupiLGjyUSJa8XVmdvC8l8zwPJVu9/uMDPeeQ/DyZ2qO8TfBEPQ2Op7vY9JY9KZ9qvbhDCL1FdkG9qITHPAiY8zuT+Qy8LfcLPaPkezzzDDm9HPCgvMtxezqg/j68xU+ZuzuTcT0EFCS9LenNuxa5IT0xgjo9LT82vWodBD0A0R+9KrSHO4EFBj0CbzI8tAAEvNop3bzQYFA8UTooveNN+Lzl8mk8oK+1vFcinrwmXGa9LaEjPPw3szy5Ima7SwOpPOAYMjy0OvC7+e1Pvac8nTzZmYi8sf7Ku7owJD0i0Te8ix0cuk9NjD1e9687sGC4OwGCFrxouV09/X/dPJ20WzuKCH+8hS7HvC4417soUOG9z3qTus3cAL1pD8Y8OWWKvKXmND2hRum7bUtrPY4RFzutc5w8vwrcPHl4nrzmVpA74xMMPOieurwQiQG9PKEvPTLYIjxVb2685WKVuzA6ED0maiS7HDHsvE+H+LzZmQi9g+tCPeMTDDhj2MY8KAi3vK1sPT31o+y8KZ9qvQIniLyj8rm8Pjhju7QAhD1h66o8C9t3vMRbHr1MCgi8DKGLPI7CDTwjb0q34dAHPJ67ujyl5rS8kUZdvMVPmTwzLou96pmUO8VPGbx32gu9NhRIPXgplTylSKK5BbI2PTKJmbrOepO8BWOtvGUnULxE3428is6SvFh4Bj3cjYO8yYs+vTQNaTwIUMk8fqg+vWtsDTycFkk7dXblPCInIDwhiY083SS3vLiSETwhiY08V3EnvNK2ODx9A807yylRPEleNz1GIhI7h8V6u4y0T7yW7Qe8HUaJO7aeFj2RnEU9DzOZO6rhDrwlxTI96OZkPU+HeDxFdkG63twMPFbMtTyC8qE88mBoPcnaR7sHmHO950hSPb8Dfb2wZxc8JG/KuSmmybxO6eW8kUbdPOdPsTwSJxS9E3adPQn1OjufZws9VTUCPETfDbwhe0883NUtvBTFJj1LS9O8RtOIPH1S1jzRYFA9rR00vauGgL3npRm9dn3EO39glDp8/G27QokluzKJmbykT4E8JMyRvOAK9Dxxjm+83I2DPOx48ryGJ+g84r2jvAPFmr1x67a8xLEGPWrHmz098Li5BbK2PYutcLvVQee8Dx58PFQuIzsUvse8rWw9PUE6HL2tbL08rA92PKFGaTp1J1w8Vxs/PTzpWb12iwI8K5rEvKp4Qj0rk2U8L44/u5LrTrwHmPM8CK2QPeNU17wTb768ijCAOzUN6Tz+zma8kE28OtMTgDwzb9Y8ZhtLPUCVKrwkt3S9xOvyPBAzGb02IgY978LVPK/JBDx42gu8ehYxvI+oyjtFvmu8HYfUO/YAtLtyOkC8iWrsuvYAtLvRvRc8Rb5rPVxSvjz6PNk8gQWGPUXMKbw4UG09CT3lPM5zNL3AWWU8+YtivA4l2zzrN6c8I2/Ku9T5vDzWTyU8vxG7vBzpQT2eGII7ehaxvLiSkb1aXsO8DY6nO64RL736kkE8NhsnvAeY8zy+bMm7+jzZvOs3JzwaA4U8HJPZu7VPDb0Dvjs7iCkhO2HrKrr2B5M8wv7WOw8zmTwzIM089KNsvVpX5DydCsS81KozuwESa7tyQR+8dNFzu8g8NTz2BxO9abndPADKwDyIIsK8N6v7PG0KoLx02NK8jK3wvJ4YgrtglUI8XUtfPc3cgD0VDVE9wQU2vTMgzbwxiRk9gaOYPP8yjTsboRc8LfCsPMf0ijuzlf48FBSwPFz1djwwlZ48d9OsvP7VRb19A828LOLuuuNNeL3vgQo9iX+Ju64K0LwuOFc9P5yJPKiLJjzIQxS9IDqEPFGC0jvWVoQ8gE2wObt4Trz774g8oP6+u/jmcL36Spe96UoLPdhDIL05CEO8ljyRPCCCrj0XDwq8sFnZO1CcFT26wHg8bUvruwYBwLykSCK9QpAEPV6oJrwSILW7ECw6vcT5ML12hKM8UE0MPHoWMT31uAm9pIntO5xsMTyOA1k9DfAUvIlxSztWxVa6mSLOvKRPgb2Vlx+8fLuivFteQ7wEFKQ8BgFAPcT5MDwRIDU9K5NlvbrA+DuzWxK9QSxevFXF1jzjTfg7x56ivI+vKb0L4lY8GEl2vQyhC711Lru8s5zdu1DrnrycHag8XZpovbrAeLxROqi8iX+JvMhDFD3KKVG7XVkdPQJ2Eb3Ctqy8X45jO4EFhr1LS1M8ldjqPJfTxDzxbiY9zdWhvd4dWDxie3+9dTUaPVu0Kz0t6U0988SOOwEZSj3WTyU8dN8xvTLKZLwOJds8uEOIvLvHV72g9987X45jPD5GoTtCiSW7gvIhvAjuWz0wLNI6/D4SPQDD4btZFhm9IIIuPF6vhb0boZe9nBZJvUDd1Lytu8Y7Wl7DvMelAbwwlR48WQhbvFz1drxiQRM8vWVqvAO+Oz2NCji9lEE3vPb51DupceM8IYKuvD2oDj1SkJA8JlzmuUR9ILpTQQc8QnvnO8gud73+zuY6flm1vD2oDj3pSgu9wgyVPHxsGTymLl+7obaUPEkWjTxULqO8ujAkvXcUeLwH+mA7FA3RPMCo7jwiGWI9SMcDPULYrjzI7Ss9pIltvA3wFLznl1s8z8K9vFxSvjxlfTg9kLYIO9mZCDy6N4O8spzdvFkIWzrNHUy8oKjWPAk95TotPzY9RhTUvE+VNjsYVzQ6SwMpPVKJMTyi69q6BWMtvTwDHT1O8EQ7wWcjPfntT7zitkS9pE+BvMwW7TzOtH+8EcpMPawdNLwBIKm8/zINveFumrrl+cg8++gpvDYbp7zai8q8wv5WPV6vhby2kNi5JHYpPSlXwLwVGw+9ihY9va27Rj32+dS8S0T0PKp/ITvl8um8N6t7PHgplbwJPWW92EOgvDr8PT1Ph3i7JMwRPXodEDxKFg27jgNZvPqSQTxwTaQ7fbsiu9zVLbxx67Y8yDXWPOjtQzzVABy9un+tO5eLmru52ru6exYxu9jm2Dnszlq8OV6rPLp/LbsUFDA72dpTPA/W0bxHarw8ZykJvZjTRDwjb8o8CF6HvAVqDL1SkBC8RH2gPK6057wzLgu9G4z6PGTmBL0XAUw8hsxZvOjtQztaV+Q7MtiiPJWXH7xx67a8870vvARcTrwlG5u8D5WGPJjTRDxWzLU8A767vILk47tQRq27X/DQvAk95bzqQ6y76O1DPLRILj1IwCS90FnxPNnaU7xxnK28asebvPpKFz3cjQM9hJA0vTxZhbxDGXo8JlzmPIy7Lj1k5gS8c9jSOsqSHTu/GBq9HUaJvPFuJjtlhJe7HT8qPJvHPzwlY8W8r6jiPFNBh7xRLGq8nGyxvN3OzryHfdC6o/I5Omu0tztPh3g7s6qbPAitkDvg0Ac9FAbyPCNvyrwbUg698nWFvBif3jyT+Qw9ZS4vO2HdbDyKeCq92ZKpu7h9dLzWVgQ91PLdOhtSDj2Pr6k4oUbpvLTyxTz8PhI9V9OUvD/d1DuHiw69quGOvGTmBDvnpZm8r2eXvUutwLqsJBO938mou7lDCLzJ0+i8ZJCcvAVqjLu8JB8956UZu3aLgrrwGL689gA0PNAfBT08WQW83h1Yvbo3Az2Mc4S8xOtyvJIzeTwBEms5n2cLPQifUjwbk9m81+23vGPYRj2jnNG81+bYO8NN4LsZn944OWUKPR0/Krw9oS88FQ1RPFhqSLzOczS98WDouXnHp7ujqo88NsydPILyITux92s86zDIu7BgOL3YQ6A88cm0u95zQLt8tMO7LjjXO2cpibxc9fY71Pk8vNnaUzwXCKu8JcwRvLhDiDwppsm8RN8NvAvi1rvZkqk7zrR/vEwKCLyewpm83M5OvPDQk7sUvse8OMCYvE2omrniZzs8cJVOu4oI/zv3nkY8IDOlO7iE0zx15hC8b/4aPdNUy7ywqOI7MOuGO1nHj7zxybS8ZTUOPT5Gobvo+wG8/Tczu71l6jwi0be8QNZ1u5LrTryKwFS9ESA1PIyt8LsVzIW7hdjePAJ2ET3J4Sa70xMAvHTR87wFsra9j68pPQ8e/LxdUj68RN+NPAQbgzx3Ira84dCHPAMNRbw1zB28QOQzOyayTj2n7ZM8tZe3u3ut5DwmcYM8ecBIPD9GIb3xH528qIRHPL1l6rzLN488KA+WvCf6eLv0VOO8jHOEvHgpFTyESIq8gAUGPOjmZL3HLnc73I0DPTUbJ71MCgi8USxqOyInIL1O/gK8engePJQ6WDzINdY8YyBxvA3wFLzlAKg8QDM9PCR2qbxYasg8xLEGvY+oyrui61q8D9bRvG5ZKT1L/Mk8yuGmPPMTmLy+wrE7UYLSPIP5AL0BEus7q84qvHodkLwUBnK8+awEPBmtnLv8hrw7BFxOvO+BCrz9f928tKobutT5vDuF2N688nUFvI4RlzoHmPM8eblpOhN2Hb3YpY28KrSHPKrHyzwt4m68l3Z9vXrOhjuuu8a8A28yPTV9lLzm+Ui83iuWPM4kK7yRVJs8i8czPEMZ+jzgCvQ79VtCvbZPDbzc1a28oUZpvDhxD7y4izK8tZc3vPw+kjtFfSA8jHOEPK605zx9Cqw755D8u/ntzzt0ick8S0R0vNBZcTs86Vk85fJpvHzCAb38PpI7f/4mPUdxm7tD0c+8IDoEPQWrVz0J/Jk7pzwdvJGV5rwOlYa75laQPNqSKTwa9Ua8H+Sbu+NUVzw8k/G7UTqoPLiSkTuD+YA8cvIVudKv2btqZS48wv5WvPpKF7llfTi9zSuKu2COY73UnPU7gZVavI5gIL15eJ488Bi+PDe5uTzTBUK8ecenvNSc9TtPTYy83WzhvEgIzzxZCFs9K0u7PB6OMzxTQQe8AWhTOhHRKz3qmRS9JLf0uz73lzzYhGu8X02YPMBZZTznkPw7yugFvc3cgLlf8NA7X/DQvP7Vxbz49K67Am+yvOUAKLyAP/I8wv5WPYXfvbwdh9S6Vsw1PVU1Ar0FFCS8ABJrPAr8mbyUSBY96pK1PNftNzkgdHA578JVPSN2KbwLk028pEHDu/B6qzxyo4w8aMA8PYkwAD0O3bA8+5JBO/W4CTh2fUS7caMMvM7CPTtwnK05TvBEPB/WXb3e3Iy7n6+1u6wdNLzR/uK7EmjfPHM6QL1T2Lo7ZX04PCGCLr35pSW8SHEbvRLYirwPM5k8UJW2PEtEdD3uHWS8xUHbPONN+LxCe+e7u8D4NxuMerwoAVg8AnaRPPJ1hTsiJyA8++gpPHaEozxFvus8J/r4vHJBn7ygqNY8NCcsvKuGADz0YqE8iCmhPM/Cvbu0SC45IYkNu7H+SjwoUGE9r1lZvOlDLD0qpkm9/yTPPDLK5DxZxw88yDVWPNfmWDzN3AC8XPxVPZ+oVj3NzsI71kHnujEzMTuPqEq89gC0PIRICrvJ2sc89vnUOyXFMjxGxUo7f/4mu8nT6LuNu64701TLPBuMerz+zua8lIlhOzNo9ztz8pU7NhunvN/CSTxx67Y6tp6WPCyhI70pV0C8Kz19OyO3dDyhVKc8RN8NPAVjLTy4izI8YkETPTuttLmY2iO80W4OvXTmEL2hTUg8B/rgOwJo0zxv6f28T47XvA8e/LvEqqe8QoLGvKC2lDv1aQC71QCcO12a6Dw9OOO8tPmkPKzVibwhgi69KMCMvISJVTo2slo7WcePvC4417ynPB08mx0oOw6VBj0WY7m7U0EHuwa5lTtzOsA8oVQnu4owgLuozPG7eNoLvNSxkryeGAI9ZNhGvFwDtTypIto8SAHwPHTRc7pGG7O7q4YAPVLR2zro7cO84B8ROb1syTw3q/s7vnoHvbvA+Dy8HUC8UTPJPIbFerwAdNg78/56O12a6Lxc9fY7UOS/u53CGb2Boxg8nhEjvRuhlzwDDcU8ZCBxuzGCuj0HmPO6PfA4vKRBQz20+SQ98HqrvOPEgrwYXpM802KJvJd2/bufYKy8tDrwu4AFhjy8HcA7SwMpPPo82bsYSXa9bVmpvNMFQjsmY0W8TAOpu99zwLwzIE089wA0vXLylbxKrUA8E28+vExZEb2LxzM86pkUPTGCOj2ccxA8u3hOPPjm8DsGsja8EImBPL8YGjzWTyU7iSJCvZSQwLq4Q4i7NX2UPJCvqTx4KRW88/76PG/pfTyI2pe8dJeHPIrHszsYpj08zdyAvBNvvrwGuZW7kE08OaOqDzxlhBe8mTAMvCgB2DxA5DM9ZCDxPCgPljtkkJy8154uvUkITzzK6AU97D6Gu2Hd7Lvh0Ac8Xzj7u1MnxLvJ02i7SRYNPeJNeDyJeCq8ah2EvF84+7uPryk6R3GbOQitEL2iWwY9BL67u8FnI728HcC8nB0ovOjm5LsGAcC8vxG7OzEs0ruEl5M8znqTvHU1GrzHpQG8ZN8lPZ6hdzzRbo48TVIyPFE6qDuA/qa6ljyRPAuarLpLtJ+6yzePPO4ygTywr0E8ClICPQ6VBjzPwr074wXOuWz84byx92u8Mt8BvQ6HyLsuh2C8QeuSPFYbvzvU+by8Jmqku4yt8Dyj5Hu8nbRbvZ6h9zxlLi+8PAOdvHcU+Lvo+wG9n2AsvK/JBD3RYFA9rWw9u2tsjTsKSyO6ueGaPHGVzjzir+W5qNqvvO4kQ7wy2CK7dN+xPETfDTw2FEi8IDqEvDxZhbxOobs8gaOYPEKQhLyiW4a7iNoXvCtSmrzIQ5Q8D3RkPGJ7f7w/TYA8XAqUOihQYbp9Uta8GJ/evB6VEr03q3u8nQpEPOqZlLyuyQS77tU5vOzO2rwv3Ui8kzN5u0DkMz0kb0q8mIsavfjmcDxHcZs8SAHwvI5ZwbyUOlg82yldOxLYirzStjg8uH30Ojq0kzvH5sy7EMpMuzB7W7ypItq8j7aIvIFG0Tle9y+7VW/uPNSc9Tz9f927U0EHvSS39LuuES88B1coPdZWhLytbL075GKVvNNiiTuV30k8ueGavXu0w7ydA2U8FqtjvM5s1byj8jm8XaimuwmtkLy+bEk7vwrcvHxlurycZVK9wQU2vBNvvrwDsH28Rb7rPNYAHDwTxaY8Dh58O25giL3TW6o833ofPCZc5jy+eoe8wr0LPJiLmrz3B5O6gjpMvHeEIzznl1s8SrQfPEXMKTyNu647AMpAPVbMtTldWR28IYKuPFBGrbssSzu8tDrwOjAzsTyqfyG9jcINvfJ1hTuqceO6LkaVPLH+SjzC/ta8Q9HPPJLyrbxpud28UToovKwPdro/jku81+23PKSJ7TyeEaM6Oq20PDMnrLlxjm+93NWtvBHYCr2Y2iM8TFkRvfWj7DyBBYY6bUtrvKp/Ib0Fagy98nWFvAOw/bzE8tE7nB0ovb27Ur3jxIK8guTjunzCAT1L/Mm8qn+hPCr8sToUzAW9tDrwPIkwgDxnY/W8fRGLO06hu7zNFu07ld9JPPPEjrsBgpY8F0l2PI/30zwPlYY8hsV6PDMgTTzmVhC9dsxNPGjAvDw2Ioa8FmM5vDLfgTxTQQc9Ud3gvCxLu7sIUMm8jbuuugiY8zt//qa8s1QzO4sdHDyHi448nqH3vAAzjTjEsQa9elf8vPuZoLxl36U8LfCsO16vhTycbLG8J/p4O8zOwjy6NwO9zBZtPHNBH7roPM08h4SvPKRPgby/wjE8IYmNu+4rorzWVoQ8QNZ1O8K2rDy6f626U9+ZPGjAPDvivaO88cm0u8Co7rxICM88MokZPJXYajw5FgE9OWWKvHcU+Ds+OOM7oQWePCIZ4jsf3by8PJrQu2SQnLwoUGG8iXiqO1CVtrycXnO8SceDO/VBf7xD3w29A747PX+vHb2o2i87KVfAvMX5sLzCtqy8fRGLPII6zLzsPga9UOuevNeXTzyuu8a87X/Ru4eErzyIKSE8nQrEvEMnODyaxz+9hZC0u8mE37ve3Ay8zSsKPNzVrbtnKQm891YcvaJbhrynNT48nF5zvMQAED1Syvw6dCfcvEEs3jx4G9e7f/SJPI90Gz35zX29sEVvPAT8k7t/9Am8Vha3vOLepDzmpQk8uVC4vJbflzzujQW8iNwFvXB4Qz0xpZY9/ZTiu4dj0TwcaOw8NBwVPBZN1jxI5os7wrUzPI6lf7s4k5M8YaJKva/EpDzc9PI8jU2DO/mgZD3uvmm8vxedvLfZubwdtAc8iYppvLYvobsJnnU8qYBAveHi77xh+LG82c1ave6NBbz1UjS92vpzvFJLh7xWQ1C8FPkkvFHS0jx9+oq8B6T2PErgCj3Aa846rFHxPGQZSTtnvWA99qKavfnJMrs3wCy97o2FPGJImDz1ewK9CnFcPVvdGz1HQD69+B8avWXsrzsolgI7XStMvP2UYj3wtB29GHAjuxSAcD2OpX89/g0XvV7VZDz2JRu94t6kPE+rujzJKvw7i1dPuwXTxbxeVJo83PTyvGizFL35oGS6ZfB6vBnACb3HA2S8A3+UPGJIGD0lUGg8awdGPZM7gDntPZ+8BPwTvebSIj0dO9O8c8IovccD5Dxx9cI7AbKuO2P2ez1TzNG8td86O/jN/bxx9UI9UP/rPNVYkjwYQ4q8s7givaddc7swWfu9s+U7PIJriLz01TQ9gUg7Olo3Tj0tOGS8oZjEO7v6UDvc9PI8QXuPPH1Uvbw1dke8rXS+PHqHV7xNhCK8yyAwPfGHhLyce/i7huKGPIEbIj2mY3Q8wbs0vHDIKbwgWJ+8x/+YPA44wbvnfDs7G+ehvLwh6TwCLy680eVevV/+sru0OW28/4qWOtPbkj2iQl08fH0LPAhKRL28cwW8p1moujAsYjz1rGa7cfXCO/OFzjyIsze83zoNvXUSjzzZTJC9X9VkO62djLxfpAC9D94OPWmKRjySaBm82x1BPY6l/7vjiD289X/NvK9BpDqju5G8JqDOvBJZ2DwZ7SI84LvXvFY/hTwQiKc8A4NfvVZDUDxM2gk9r/G9POHi7zxqMJS8wRXnu2PyMD1M2ok8bqtdvV3b5Tx+0Ty8W92bO9tGDz2bUJW8QHsPPDbGrbojogS61IUruwG2+TzfOo08vfCEOawkWLyI4NA8P4GQPXbA8jwOknO850+iPClEZjwj/DY8vEo3PaBIXjxidTG9+PZLPYVpUr1GGaY7CZ71OsZVAL19VD28/47hPDjtxTzfZ6a8h1+GPZFBgbzSDHc6DGeQvKAbxTs1Tfk8LTQZu4Gc7DxDTMC8NU15u7O4IjxnuRU9+8f8vHSZWr2eIUa8iVmFuxRT1ztzGJC7N3DGvMipsbxweEO8sG49vClEZjzPka27wbs0O4Gc7Lz1ewI9nPqtvLtKt73qymu7j3SbPACyrj3YzxC8eofXPdMMdzwYR1W9XicBvLQ57bsPjHK8o5JDPWowFL0tOOQ7+M39OzN8SDuxkQq9eI1YPbkAUr33TDM8D96OPE4BIj3REvg8Mv/IPPQrHL3VBvY8sBQLPZWT/Lzc8Ce9byQSvanWpzxSzNG7JKIEPNPfXTwZ7aI8m1RgPTCCSbzwtJ29mYOvPJt9rrwAYsg46MwhPZTlmLy6Ix+8twbTvOciCTzgjr47JpwDPMU2/jsHpHa77O24PMMPZrzisYs7zxh5PXUSDzx+Tjy7XieBPSdxfzz5oGQ9Sl0KPHHM9Lzu57c8dsByvNbVET1VwoU8EdgNvMydLzz5nBk8V5O2vCBcaj1eVBq8v+qDvPZMM73FNn68HzVSO41NA73OahU9gpihvMcssrquGoy8+kayvIuEaDyqV3I8pV+pvA4LKL0aPQm8bqtdPdBkFL03Gt+7SRFvvO7nNzyRcmU86vM5vdBklDywQaS8d+O/vMkq/LygwZK7JHm2u72anTuqV3K9OzcrPQWmLD0YQ4q8DD7CPE1Xibxf/jK9gHEJvaNpdToKF6o8Lt4xPXQSDz37mmM9zfFgvWve97x6sCU9+PIAPelJIbrSi6w7ewAMuv+OYTt6h1c8DwsoPAIClbw1IGA8UvlqPDjtRbyaLci8JCPPuAQpLb2zi4k8uVA4vfuaY7zD3oE9WeMcPBCMcjuAniK9itpPPN1tpzpCz0A8iV1QuiqQAT2hb3Y85NzuvPIIT71H6la9G+chPXfjv7y4fwc7jvcbvL5xzz3+t687xTb+uhxobD2SGDM8dT+oO8n5F7zBEZy8weQCPcERHL1IE6W7a953vTDYML0bNwi7Yh/KOna8Jz37lhi9xzD9u8MPZryXM0k9sj/uOnTG8zj7w7E6PA5dvVD7IL2oWai8rPe+vO6+abwQiCc9C5j0PLIOijxuq109WjMDvcydL7vyCE+8NZkUvAODXzzP55Q8m30uvfLbNb0ISsQ7LGX9vPjygL0h1R68rMqluzUclTxaCrU672Q3vavQprxZus68wmECO3KbkDwlHwQ5sEGkO9jPkLyTlTK8wrUzPK5Hpb2Db9M8TbE7PH/0CTyHCR89ElWNvRKGcTxrsV69wwsbPcZVAD3gu9c8Kr2aPBBbjj18gVa8hzY4veOIPbu5ph89sEVvOgBiSL1wpVw8v+5OO+K1VjwtOGQ8HrSHPK4eVz02xi28ynYXPfnJMrsMPsK88lg1vDcaX70uiMq9nccTvY1+57wjJYU7QC/0O5DxmrxIF3A8fqjuvJotSLyyO6M7U3Ifu2PJ4jzh4u+8BdPFu2XD4Tx3DI472M8QOx5eoDx5M6Y8OUH3vNfTWzogXOo7xNzLuwGFFb1Tn7i8iYrpu7BF7zxHliW9t6wgOr0h6Tt2wHI6k5l9PNES+DsxLOK6SuAKvb3Htrv/jmE8NSBgPRnACT2LgB09wRXnPObW7bvbHUE96kMgvaW1kLxv0vU7PgjcvB81Ujx4YD89Gpc7OaLoqjxWPwW8Mv/IvJuB+bpd15q8JUydPFIiOTxT8+k8FfmkOqpX8rtl8Po8L1/8PGAhgDx/IaO7bdQrvT6uKT0YdO47IIU4PXiNWLw2xi29jXocvXClXDtS+eq8iNwFPeDo8LtVbB69fKokvatNpjvewdg79AJOvZqBebxMNLy7UvlqPU4BorwwWfu60ousPHFFKbz9lOK8fncKvY73Gz30Kxy97o2FPMh8GDsCLy69x/8YPNf8qbzRDi29U0nRu6wkWD0WdqQ8LTQZPVkKNbx8JyS84i4LPAPZRrzuuh48nM0UPIgwN7yZVhY9QC/0PIDLuzxHaQy9eTOmPOUoirzm1u27js7NvEu3PDnuvmm74rXWPDFVsLxbtM07vHMFvDJT+rwNjqg89NW0vK4eVzyU5Rg9PttCOjwO3by+bYQ7ySr8upa2ybxoNhW9aeAtPbp5Br0pROY7AbIuvKxRcTuGCR88UP9rPD9YQrydd628XdvlO9cA9TsgWJ+8wGcDPdPbEjxyn1s7DeQPvbnTuLzw4ba8NPnHvItThLx+qG6853y7PDuNEj0UTwy93W0nPVg5hLxF8Ne6MSgXu6nWpzxkbzA90TtGvaGYxLy7+tA79aibPEMfJz2wFIs76aNTO5haYTy0Yru8Sg0kvIkDHjwpF825RPZYPGe9YDymNtu8JxmDPPnJsrzevQ27+ZwZvE/Y07zNHnq8nXctvMcD5DqkPNy7ElUNPVwtAjsmyRw9MVUwPGux3rwD2ca8DY4oOx6LuTxKDSQ7uidqPN86jTzH1kq9HTvTO3U/KLz7x/w8dsDyulnn5zwiKdA5NsYtvPWs5jygSF49BKp3vIMVIbuMUc68u6Ceu3x9i7rpo9O8DY6ovYLFursUTwy9ww/mu/DhtrzDC5u8P1jCvP46sDlsKhM9qDDauxZN1jqpgMC70eETPI7KAj0V+aS8iQMevTFVsDzm1m27qldyOjsOXbxj9vs89qblO4UPoDwfNVK8JkpnvMU2/jwnHU683cFYPP1nSbxn6vm7g+iHPY9HArzLILA8uiOfOy0HgLxf1WS93MOOPN/o8LzOGPk8jNCDPLWFiDvW1ZG7PgSRu4aQ6ryfdfc8SOYLPAICFTyK2s+7i4ToO0ljC72bfS68qYBAPKpTJzy6eQa9a9qsu610vjwdO9M7wjg0vCeWgrzg5KU7rCANvLz0z7r0K5y8sjsjvPhzyzpj9vu7l417PB60B7s4wCy7lZP8vHXpQLzRO0Y7k5l9O1wxTTw1Sa47BvYSPXB4w7ylNts6eQaNvPOBgztmlki8P9VBPTbGLTy9mh27JxmDO8SImjzcx9m8uifqvJtU4LtjnEm91/ypPBs3iLyCawg8T9hTPLQ1Ij232Tm8LI7LvCZzNbtO1Ii9M08vPVft6LzVBva8zR56OmnkeDxYELa8vZqdPLon6ju6fVG9YE4ZPLXfOj3FNv47XAS0u3BLKj0EVsY8vm0EPICeIr0tYTK9T34hPFnjnLz4Hxo8rFFxvDwKkrw9h5G8l2DivDL/SDw8Dt28qlOnPPzqybw1IGA7IqiFPHwnJL14jdi73sHYu2wqE70mnIO8xllLOqbcqDw0zC49cp9bvORVIzwKFyo8c8IovICi7buAou27wji0vGxXLDwobTQ8/g0XvdaswzwACBY9sb6jPM6Xrrz01bS6pA9DPEIpc7ymY/S7mFphPNj2KLwZGjy9Lt4xu+mj0zuYBrC8fIFWvD+BELvFNn68T1GIvJS8yrvsxOq8uNM4vD9YwjxdCP88gxUhO3jdPr3u57e8POHDPMkq/Dz/ipa8z+tfvV2uTLubVOC79VI0PYEbIrwACBa8LQeAPMn5F7zLJPs8r5eLPOdPIj1Tnzi7iDA3vWhjrrsWSYu8IyUFveifiDyGX4Y7uNM4vP4NlzyAdVQ7pOKpPMG7tDwra/46z+vfvHClXDz9kBc90zVFvJViGDskooS8lWbjuxSAcLxZ5+e7KJpNPQV5E7yltZC8y/dhPHPGcz3tPR884OQlvLojn7xXk7a5F/MjPO+RUD26eQY6N0OtvCagzjxMNLy8aQ3HPL8XHbz9lGI7fIHWuy8umLwOOEE8WjfOvOILvrssigC99nlMOY1+Z73jWyS8qdanvIzUzrxyRak8qDDaPPIIzzxEI3K8UksHvUPJvzyVYpi8VO8ePEL8WTwtC0s9Tyg6PTFVsDzBjhu8nXctPEACWz3NHvq8L198vEzaCTvLJPu8HJG6urxzhTvyWDU8S4ojvXiNWLxahzQ8ajAUvfAO0LxDH6e8KUTmvHSZ2rv1f009pmP0PFnjnLytnYw84t6kPLQ1orwN5A+8NU35PDw19buiPpI8uC3rPAOD37uLV088U8iGPagwWrxcLQK9b9J1u/63rzyTmf07EobxPJYMMTvFWcs8vxvoPJ4hRrxmaa+8Pq4pvCiaTbzBERw8KROCPGZpL722XLo7AbKuvLh/h7zPkS28/4oWPJWT/Lz4zf27GEfVPH6kI73KTcm6vCHpvDL/SLxYPU88TVeJPEdAPj1FnKa71N/dPFF4IL22Aoi7rhqMu3qDjLwT0gy7QiWoPJmHerrrcLk8LOSyO+66njtot988N0f4vGe5lbwIc5I8AIlgvKpX8jqVZuM8oZjEPN7qJrzRuEU8IqzQO6ddczwRBSc9zO0VvIjg0DwId129XC2CPBhDijy1hYg80eETPCbJHDz2+IG8b9L1PBKCJj35ybI8s+W7uw5lWrpkQpe6A3+UPAN/FDwSWVg8gHEJPLojnzvaoEG8vfTPuyErhrzsFge8ZmmvPHKbkLxR0lK8shLVOxidvDurej88IX83vK4aDD1Ltzw6HeGgPD7bQr0MESm8QVLBPPQrHD301bQ7mNmWPJS8yjuxvqM6qF3zPDN8yDuVYhi8zxQuvewWB71mlkg8sg6KOY9Hgjt8gda8bCoTvVxam7nBEZy8cpuQvCErBjz9wXu7XwL+vMxwljvIfJi7/g0XPLQ57bzm1u28UXigvEwHI7wFpiw6q6MNvVuHtLxb4eY6BXmTu+lJIT32+IG8B81Eu+4QhjwjVuk8jNCDvGPJ4jufcaw7YnUxvMvzlrxokEc91ylDPIz9nDztk4Y8qCwPPWOcSbrN7ZW8jqX/PGB7srx6sKW8wREcvAWmLD1x9cI6lzNJvdzDDj1Z45w7dT8oPfb4gbvg6HC73uqmvBidvLy/F507xF9MvGcTyLxd2+U7fqjuvPIxnTw7O/Y7v8G1PHc5pz0hK4a8wmXNvM7ERz0ra/48hl8GvNM1xbwMa9s7vxedvBBbDr2iQt28KG20u9rJjzwvX3w8VryEO5DIzLudSpS9IK4GvAWmLLuLU4Q7xQWavEAC27tkvxY8ySYxvc3Exzrf6HA8E/8lPGm3X72sUXE8RUY/PY7OTT0/K6k79viBPHPG87o/Kym8OhTeOqU2W7qIMDe8IqgFva10vjwqlMy6GHTuO+dPojvF2IC8dsByPerGoDtzGBC8A38UPPGLT7x0lY88OD2suihttLz48gC8UKW5u0IlqDxmPJY79NW0uybJnDyLKjY9/EAxPIYJHzwX8yO7E9IMvdz0cjsE/JM8yiT7u5mDr7uxvqM8b9J1u5OZfbtSIjk6UvnqPJTlmDzgtwy80L7Gufb8zLzCYQK8VWyeO+66nrwYdO48U8gGvOWCvLxRpTm9T9hTvFeTtrzpo9O8JkpnPKvQpruNTQM9D7XAvGe5FbyyElW8g5ZrPP2UYjx2k9k8ySYxPILFOjyOygK8/OpJPB6LubtgThm6KMObu5wnRzwOOEG7I6IEPTCrFzy/6gO8m1TguylE5rtGwz47ZfD6vGpdLbwZwAm91n+qPOtDIDvhNAy9+kayOvuWmDyiPhI7tDUiveifiDzSXpO8dsByvBX5JLt+0by8qDBavNpzqDw+rik9GzeIvFYWtzpoY666TbG7PFuwgjxpikY8XK5MvM7Ex7vdbac8E/+lPAnwETlsKpO8K2v+vCNW6bwQX9m6/OpJPImKabwT0gy8eImNO9rJj7xTcp87x9ZKPLI7o7zfZya6gKJtPMUJZTyyP+680RL4vNr687wow5u865mHOyZztbvLILC8xlWAvPYlG705QXe7nPotu6Fv9jyXYOI7sG69vAZQxTszJuE8zMpIvfVStLy9xzY59Nn/u8ydr7z7mmM8C5j0Op9EEzwBieC8oW92u/AKBb2Aou28QilzvDwKkrv5zf06R0A+Oj0xqjzGVYC8lTnKvHaT2bzqymu79agbPb/uTryjZSo8VWyevJDxGjyLU4S7uC1rvahd87zisYs83PCnvBZNVr0Df5S8S7c8vHx9i7xot9875v87vH6obrzXAHW9IdUePJYMMb11Eo+8shLVPMavMjzQZJQ8nM0UPC8FSr28IWk8tDWiu/IEhDwvW7G8js7NuyqQAb1/dVQ8ZcNhvKI+Ejv6x/y7uiOfPCSiBDw2xq27uVA4PeK11rsomk27Ly6YPLv60LjcmkA7tjNsOzTMLrv1qBu9Kz7lvCdGnLv/ipa8V8BPO9lMkDyFadK8jNADPZM7AL31rOY7OhRevEuKo7uxviO9weQCPK10vjy8Iem8SBdwPBo9CTxvziq97O24vN1AjrwmnIM8HzXSvAN/lDzTDPc7gpihO0+rury+cc+8q9Cmu8BnA72TbGS7eGC/u+6Nhb3cw468hJbrvOE0DD2PHrS8E9IMPaoqWTxSzFG8Y8WXOSqQgTwNjqi8Vj+FO8I4tLxl8Ho6XieBPN7B2Lkra348A6ytPOwWhzx8fYs7pDiRPPOyZzwBieC8/Tqwu7IS1TxeJ4G7iYrpu4LFurrP55Q83MMOvXHMdLwmyRy8Yc/juyPPHTy0OW28mi1IPONbpDxt1Ks8nvSsvImK6TpbsAK9XaqBvPxAsbpmlkg8Q0zAu/amZTztl1E8jSQ1PNbVET0T0oy8EQWnPHoADDy2rCA8hrm4PMU2/rvnT6I8Hos5u6nWJ73D3gE8ulC4O0rk1Tx6Wj4868AfOmQZybs0+Ue6zUdIvA+1wLyce3g81S/EO12uzDuVZuM8Yfz8uulJITz4H5o7WeMcPCcdzjxqMBS9R5aluwN/lLzqymu6TgVtPKZj9LsQiKe8shLVO2BOGTscZKG8UvUfPapXcr1fqEs8JkrnvICibbz7lpi8ArD4PHkGDb0bFLu8tAzUuwh3XTs9h5G8HTvTvIcJHz1+d4q6elo+vRZ2JDv2/Ey9Hl4guzVNebyTO4A6cp/bPPzB+7rQZBQ80eXevHB4w7zazVq7u3dQvBYgPT2Zh/q7F/OjvK5HJT3TDHc7K3AhPe+A0roLE5S90TvduQlXJbuJh0m8rQWqu8QfDjo8BE68eq8LvRz5qzwvP4m8A4MevFaINT0ouVE9xSStOYbBnLtWMSs9M2Z+PFn89jwihII9c8gLPTRqmjxAL1+82GqKu8zD/zshJL06iTXevMfqWT0VwMC81rhZvIvsrbz898e8XBMMPBVuVby0SNM83D6RvEax+rw34/q7mmMjvYvsrTzWZu68QziauxHxWL1ddFS8NW+5u3PICz3HQWQ9UQYaOyZKLz1pJR28wr9IPYQP7LsQkJA90IOKvVmbrjs4PqG8O1tYO6gxIz1WiDW9Z25NPRydAj1ddNS8kt3rvGJN+rukYrs8F3cQvF7Gvzxr68m88vivu/1TcT3JRYA9U9FlvIGWCzxoc+y8BkQsvLQ+FTzK+DM9YNQZO2/+wrxFSxM9YpCIvF3BoLwlSq+8T0UMvRBDRL2atY68t6gYPTyoJD0HScs7KRBcPRXK/ryZtQ68vkdrusCnMD1KHxq9jJpCvRfTuTxHB4I6Ux6yvOqnrD2PZIu8l6xTvDytw7x6vmg9Go8oPRVkFz0tLBC9JJPfvCtwoTz0/c69ryLhO+kIdTtAd4w9LjttvClrgj3VVxG8WKBNOzEKVbxY/HY6pSjoPBlC3LuqpWS5O/qPufzyqLxAd4w8Gkf7POqsSzwEMbM66azLOgeg1Tt6bH08XiLpOWgcYjziu426NozwOta42bzK+LO8HFC2uw59Fz1/gxI8ky9XvVmgzbzki/i824xgPFmbrj2QDQE85XybPL71f73qseq8KBDcO+qnrDucgFq97AyRPFn89jyBlgu9TY48vHNxgTxwaMa8QooFPEDTtbzn6728KBV7vF/ZODvMBg686rHqPM5wEbw4Q0A8jfqHvDQYr7znj5S881n4Oa8iYbsBI1k92+Nqupf5H7yg/dY7l1povdZm7jxi9u889FTZPBHxWD2A5Nq71PKsu8UkLT2KOv281lcRvdhqijzMw3+8eE9GPAvBqDytqQC9ac6SOpzIh7rEcny8OwTOvMr4Mz0BzE48u3cAvXjznLzZHb48YkhbPUVacD0So4m7FbaCO7TnijyjtKa7yOCbPdFAfLqvHUK9bIoBPQZJS73p+Re8CQAbPH3HI70Ro4m8RfSIPEAlIT2/opG8VMcnPfMCbrwfYy88XXnzO/hwDb1SYkM86Vrgu+qsSzxL4Ke8wKcwu6ugRbzHmO48+S1/vAEZG71zJLW8emdeOwf8fjyK5w482R2+vL7mIrzUSTe8nS7vvLi7kTweXpC8dZNXO48SoLxr68k87ynIvPqNxL2+jxg9Z25NPUpxhT0yrqu7yO94PXFjJzyq/G69oP1WPLB0zDx1PM28YkhbPaRiu7wJXEQ6C2oevUVQsry+5iK9Dn0XPb7rQbz8/GY8wwwVPa2unz398ig9jltQPBmZ5rxxFls9lwNePHoQVLx8zEK8WwUyvQdO6jxuopm7GeETvGyUPz0Z8HA8zWdWPSVKr7qvao69EqioOw7Uobzgt/G7kio4PN3xxLurTtq88Y6svNa9+LvGMgc8HFC2vC9JxzwntLI70d+zPMRyfLz4x5c6W6mIPZLTLbzURBi8bJ59PW2iGT1naS49ptFdPJ4yi71oynY7jfqHvJf5HzxK0k08BvdfvY6oHLwYigm8QooFvXG6MT3gW8i7ePi7vKubpjz0Boq86fmXvCSYfrz2YjM9n+AfvFwYqzyxMDu8YvHQvHFjJz1jn2U84FapvH/kWr0oC708jQllPUrX7LycyAe9B/ffO/qIpTuiq2u6AnXEvLnFzztRC7m8ykofvV0TjL3z/U68N9SdvHx1OD1ilSe9Si53uNhvKT0Z4ZO7Ca6vPIcdRjswmzK92zr1vNo11ryTKjg9WJYPPYOuozwxs0o9cQwdvQf3Xztd0P08YIKuPNUAB7xOT8o77oBSO+lVwTsxClU8N4zwPGhz7LxRWAU96aesPPRU2byLkAS9w7WKu0A0frxOplQ8Q48kvXIbejycJDE9EJWvOk2OvDtM24i98TciPLyBvrxnu5m8KL7wvN2aOjwfY6+6psefPBqUx7wR8di8OTkCPUsp2DsYKsQ7I9uMvHu5yT2vEwS6Bj8NvJ+OND1ViDW8ZxKkvJ0p0LjgW8i8SsgPPaD4N734f+o6TNuIvcV7N73Mw3+84AQ+PMV7Nz0LeXu8f4MSu6vysLzdlZu8BDEzOzcrKDyHHUY8c82qvVmgzbwZQty7Ld9DvbF9h7wVtoI9f4MSPUrSTTsHoNU89LQevPjHlzx6XaA8QIbpvJXrRTwBawY9gI1QvRydAr351vQ7WaVsPPybnr3y+C+8NcZDOXFjJz36Njo8Z25NvfMCbrs8YPe7EOw5uvOcBr2Jgqo80TEfvYMKTbz4cA06qu0RPWcNhb3uHwo9cRE8vHjzHLwSUZ48wr9IvS2DmjtnZI+8c3YgPfViszwcSxe8f4OSO1j8dj3I73i7HFA2vSi+cLzgW0g85XybvBclJb3KnAo9EJCQvNYFpjvbOnW7FbshPDeCMj3NEMy8PLJiPVbVgTwR+hO8q5smvCSTX71mbs29kiUZvRNWPbsZmeY7a+tJPEp7Q738TlI8R16MvHihMbxdy168FbshPXG6sTwfaE68f4ixu4RXGT14nBK8jqgcPVTHJzkXdxA9JEF0vHpdIL1gfY+8Dc+CvHN2oLwoFXu89QupvPE3orps4Ys5TwL+u8wGDjy/nvW85NhEOOn5l7tuS4+7WJYPvfJPurtNN7I87iQpPb6PGD0XIAY9Zw2FPPVdFL0oFfs8/lwsvY5bULxZ8rg8oatrvF3L3rsGPw09jVESvKiDDj3g/5484WQDvU7zIDy/opG84RKYunMfFjx485w85CWRPHPIC7x3nBI9/wrBPMu0ojwfujk7OTkCvX875TzMtCI8HwwlPYS4YbyXrFO9pcIAvbatNzzVCsW7UV0kPbDL1rlDlEO8wwwVvZ+ONDwcUDa824xgvcfgmzxUcB07I4QCPbf/Irziuw08/E5SPPRU2bzKT768v1CmvCTq6TxKyI+8jrLaPKffN7y0kAC9ptZ8OyTq6bx1Ny69phmLvI4J5TytVxU9bEfzPJx2HDwkk1+8jq27PKmWhzwfaE48CVzEu77rwbz+CkE9llCqPF1qFj0fDCW9HEsXPU5PSrwrcKG80u2NvKRiO7xdIum7CQU6PECG6bxUxye9YvbvvF101Lx4RQi8T0WMvKgxoznHiRE9xR+OPEp7w7wev1i7xXaYOxmZZjw+Eii9HQcGPdo11rxAhum7/wWivHWYdjw0waS8SXGFur6edbxKcYW5Tk/KPChdqDy1mj48hApNPYGWizzbOnW885wGvcO6Kbza1I28QIHKO6Uo6LgyqQy7LSyQPLb6Az3KRQC9gOn5PNVXkTpTI1E7P3yrvNs11jtZTuI8U9HlvKntkbxKLvc7LTZOvHpnXj2mcJU8Rac8PNLp8Tt6r4u8TpwWO6FU4Tuhoa285+aePC7kYrv8m5685z0pPH/anLvIk887azgWvK9vLbwZ69G7+My2vAOIPTxHEUC86VrgPChYibwXdxA8v6IRPEl7wzofaE68ntuAOxrmsjzpCPW8qe0RPH8xJ7q+lDe8pnCVPFV/+rxcE4w7bUuPvMO6KTvXaoq68ImNO2WooDsQOQY9Yk36uwsdUjwGSUu98DIDvBd8LzvkKjC9sX2HvQLMzrpRBhq9hx3GvPztibzIPEW9/7O2vICNULstiDk9p3/yu50u77qRfCM8B/LAPKQLMT3PcJG8IR8evbEwu7vpS4M74hIYPDaCMrym0V085N3juzKpDD08/y68VtWBOqZ6Uz3Dv8i8Z25NPOxoujqNYG+6nYV5PYJJv7wvlhM9Sh+aPKtO2rwLExS96bHqO1iWj7zlKrA8r9D1uml3CLsRSOO8bae4u0as27wBawY9KRDcPMQkLbs+aTI7lT2xPEqAYr1Foh07q0m7PCivEzymGYu8ZP8qPH/fu7zvgNI8FnyvvOAJ3brUSbc7TTcyPMR7tzocoqG6WfK4u9I7XTydKdC7UmJDPPW0HjsDMbO8xXu3vE2OvDpDlEO7gOl5O3EWWzyc0sU8cb9QPWArJLvB/ro78eU2O+eUMzy+jxi8HPSMPDiQjLzDFtM8ehVzPNyR/zpGtRa8zMN/vMxdGLwVaTa96aKNPHpdoDyjBhI9kMA0vOCy0jx4obG6el2gvAF1RLwyqYy9Ju6FPC3fw7u+60G8sTA7vB61GjyniC280d+zO1EGGrwqGZe9Jkqvu1iWDzvFeze83OPqOiDNMj0Lefs85M6GvLF9h7yK4/K8GT29OyOY/rtKHxo8RQNmu9Zmbjz4xxc75zgKPCZFELwmSq87pn/yPIGWC70zD/S7hx3GO6yzvrqoLIS7PyUhvMxnVjkor5O8TpyWPOfrvTzWuNk8l6xTvD4NiTzb3ks8+o1EvChn5jumetM6cQwdvbnFz7iOYG88C2oevbdRjjzhZAM97XszPHMfFrwHScs7a+tJvDujhTvvgNK8c3EBPfAyA71IujW90TGfvJwksToeaM68MQpVvLTxyLvqCHW87i5nOlG0Ljxj9u+7aYHGvK1XlTzgBD48pcKAvAkAG70cULa84mSDvDtb2DydKVC5q05avUwyE7xkUZa5lZQ7PXMkNTqv0HW8XR3KO2s9tbqXsfI8AcIQPf2q+zwQ5xq71mZuvFXfP7yI1JU67LUGvU9FjDyQEiA7548Uu2Kf5TwvmzI81lywuiacmjxRr488e2I/vT4NCTtzzSo9OEPAPKgsBDrDbd2855Szu3NxgbxHXoy8G0d7Pbt3AL1KLve8g2HXPBGjiTziEpi8blCuOzfj+rwZQty7x5PPPDIFNj0v7Z28l0sLvRVu1TwmnJq8rVy0PL5CTDi806m8fB6uPAdJyzotg5q7sdQRu+0fCrwVZBe9GjieOrSkfL10iRk89WKzvK1XlbyczSY9az01PNNEmDyGwZy8leYmvf9XjTxj9u87XdD9PIYTiLwxqYw829QNPaqWBz033tu8/PzmvEX0CDz62hC9vo8YvajamLtpJR29bELUOmyPIDvgYGc8JvMkvcD5GztA2FQ7tvqDvMJoPr2Ujxy7ptHdu6yzPrt124Q9+B6iPAb8/rwkPFU6aSWdPBOoqLzgW8i8pXW0PJ2A2rtGB4I8rVcVPGyKAb3Duqk7jfqHPX8sCL2wxje9taT8OljtGT2Sd4Q80unxPGcNBbxLKdg7sSucPA85hrycJDG8Q+EPvJIvVzwZjyi8YvHQPJwfEr2m0V08RlXRvAlXJb3PcJG8nS5vPNYPZLwtMa87KAYePU/9XjqnMSO8MbPKvBCQELyxMDs8JDzVPMUkLT3/rhc4Yk36PChn5rzv19y88/MQO2dkD7vPGYe81PIsPKmWB7z4ess80SyAvPCJjTyv0HU8ucVPvWKf5bz62pA87R+Ku84jRTyvby09Z2kuPKYeKjqwees6jgllvK9567mlI8k8kncEvQvGxzzuzR69nHs7PHoGFj39U/E8NBMQuqOvhzxZoE29nM2mPNKS5zwVxd88J10ovMJeADzKoam8kMA0vI1b0DuBP4G8aMp2PLGHxTwVblW7Gkf7O+SGWbzlL8+8eKGxPGzw6LutqYA8nYX5PPo2Ojy+R2s7Sy53O1qzxjxk+gs89F0Uu60Fqrwt30O79QupPMy+4DxbBTI8uGmmvCcGHrykC7G7bIoBPamWBzweaM68ryLhvEvgJ70cS5c8k9hMO2gcYjwXzhq91EQYvQ6Ctjw23lu6B0nLu5ANATxikIi6JvMkvduRfzvNbHU73eeGPP1T8btA07W8q0k7vSXuBbpLKdg7XXnzvHhPRrwsNs68XctePFTHpzyweeu6QzgaPLsllTx/gxI9PFvYu6Z/8rrH5Tq8/wpBPOc4irxD5q49/1cNPb7rwTw0waQ8/E7SPMpKnztdefO7q/xuvBUNjbw0GK+8qTZCvQsicT1/Mac8b/5CvVuuJz0JUoY77Gg6PTQTEDzWZu68Hr9YO5f5H7xDPTm8a+tJPB9oTryQDQE8ypwKvLVNcjt1PE28rQWqO4E/gT0fujm874BSvXSJmTxHDKG7Y0jbu7Sf3btyzao6sMa3PNUFJrzTSTe9zQstu10dSrq5yu48EEhjO8jgmzvCv0i9ODkCvHoQ1Luv0HU6v6KRuri7kbz9U3G8f+RavTiQjDyXUCq8LYOaPJpjI71PAn66e7lJPUDOFj00aho8kMA0O891sDt6FXO8JqG5vAt5+7xZRCS9Ca6vu3NxgTwQ9ve6uyWVO7zTqTzH5Tq8wxZTPeWG2TqgSiO8jfoHu3icErwjMpc89AaKu8MRNLw/fKu8ccRvvF0iaTzpp6w8emx9vCi5UTwRn+08gT8BPTQYrzsBI1m8LYMavEKKBbzYGB88ki9XvHXlwju+lDc8Rf5GvCX4w7vA/ro8cRbbPM/Hmzwj24y8M7jpPNPyrLxkowG9nC5vulEGGrwBeuM72MEUOtvey7wSrUe9lTgSPEM4mrz/BaI7aMr2PMuvgzz4ess7gwrNvFj317s5Q0A7a5lePPko4Lvkhtk8pihoPKMGEjy5c+S8ramAPHG1krtedNQ6RgeCvO8pSDz88ii86gh1PKCmTDw9F0e8Tv1evKGra7tqgUY7hyaBvAQxs7sCKPi805YDO583KjzYagq9T1Tpu7TnCr0Q9nc7lT0xvbDL1jzb42q7bELUvCnCDLykYru6KWsCvFaItTxofCc9pSNJO4/AtLyJgio8B5u2uU5Kqzpt9AS8bJ59u7vOirx12wQ95S/PPIDk2rsxXEC9vkLMvGduzbzLXZi8G0d7u62un7xZpWy824zgu/YLqbuoLAQ8bfmjPBGjibw+ux28c8iLPA+Vr7xOptS84Q58vMqcCryvGKO7kiq4PGs4Fr1nDYW7KBV7vHbgI70S/zK8u86KO/xOUj3pseo7FbshvMjveDuwees8iYIqvRBDxLwxUoK8zMP/O2Aww7waOJ66c3agux5ozjx16mG8Bvz+ujcwx7yFuGG7l1roOqO0JrzMw3+8+B6iPB61mjytqQC9CmoevNYP5LwZ8HC8+BkDPYvnjjmrpeQ7cRG8u3U8zbt8GQ88q0k7vak2Qr16tCq76fmXu3x1OL3z8xC9bJS/u1EGGryrpeS7q/KwPNRJNzzkgTq9Ca4vPelQorw3NeY6KWLHPP8AgzylI8k8Mw90PP1T8bxnF8M7OTkCvQEo+LuFD2w7XbyBvDEKVb3k0yU8UyPRvEvXbLyeiRU7vj2tPAel9Lu+R2u8AnVEPbRIU707W9i5i+ytPH6Isbrq/jY8Tk9KPC3apLzDv8i8GuGTvHXq4bt4nJK8vZlWu4CNULwoWIm8l1XJPGArJLtY91c7Dissu2cXQ7zwMgO95C9POxz0jLumxx+9siscPcMW07kLHdK8cL/QvAu8ibsxCtU779dcvDfZvDwHoFW8CamQPD98q7ycJLG8jfqHvCOEAr05OYK8T6tzPF0iab0+abK7v/DgvNEsgDx1N667yk++PKiDjjstNk68uBKcPBrmsrwVtoK8ehDUO4l9C70Pms68LpJ3u8MRtLufjrQ74Re3PNKSZ7wjMpc7oQL2O4HtFbweB4a4MPK8OzeCsjvEG/I7XSLpO6/LVry1TfI8Si73vLocWrv9RJS7mAPeu3XgIzzb4+q8T6vzO3Xgozz/CsE87LqlvFjtmTt14KO8QDT+u6ubpjx6BhY9QCCCvJ3XZLwVu6E88/MQvFN62zw5kIw7LSwQPCtwoTytXDQ8q0k7vLi7kbxK0k082zp1u0e1Fr3gDny7HsT3OuQvT7tikIi7hsEcPJ6JlbwVxd88CVIGvCPgq7wJqRC8CQAbvE5PSjw5OYI8UKtzu+AOfLtKJDm8/1eNPBTFXz0/zha86Qj1O0ofGrzRQPw8FcBAPDEKVbwuO22879K9O+Bg57wCHjq8l/QAPXWYdr0orxM8zx6mvMaJEby+mda8/7M2u/z3R73dlRu9jQnlO0zgpzsfDKU7AszOvLGHxTyejjQ6gI1QvQoTFLyoLAS9pijoOye0MrzH7/i7l6xTPAF1xLv40dU7AMIQOZLda7yV5ia9B0lLvG75Iz2SL1c8Mw/0vCnCjDw3MMc83KsdPLkaxDwLE5y8q4VyPAQ1v7yItbO7UChSvMv1rTyZH0E7l0qFvPIy7TwJVO+85OvrvBtWwTz7DG49SJqzOyEPJDw6eho9XHHBO6jZDD0CnXq788wfPBoxR7w4Vw49GA47vZeH/Dx/3SA7nozBO8nSoT2hIpi6CsVLvPFbw7zQ7XU8e2xEvHhNlDzbX7s8ws1cvftaPr0nLGa8nmVZvbnM87lRwoS9bdngO0Z3p7ywZyu8yxyWvL7VFD3Xy1K80BTeO6AkBj3rPgG8h7kPPZnRcLzRrpA94BqMvUEKJ73ZFUe9NHPnPLnMczuN1GO8v/igPRYSlzzGY7O8B1jLvAlUbzyQbKg7cUhPPFkCUz3XpOq8H55HvCMwQj33FKY96IFCve46pTz0fGG9dygaPNk8rzwnLOY8wkKVvI9uFr3JXWm8grDuvOY3zryr08I8XHHBvAM3rbze0Be9Mpw9PPtavjygYf07DzQ6PfPzBzx5Sya9ElVYvMv1LT3iZAC9Y3YGvbnMczz56eE55l62u4v/pz3bX7u7nozBu2G3WTtTl0A9z4sEPcjUjzzc0oU60/gEvbAZW7yrIRO+L9/+PPmFArskCdo8bFCHu/N8YTwBFKG8W5qXPBBZNLyxsw08PE9WPWMotrwgEZI8IQ8ku+s+gTwvL728NMG3PLI857sZ5WS898ZVPKhk1DxvcxM8cW+3vIkDhLze0Je8OXyIPLStw7xitWs8okUkvAfNAz2Jjsu8Ajctvdek6rzjYhK9VyspPMSMiT0GgaE8rmuHPLo/Pr02NAK9xjxLO9yrnTxTvqi7/H+4PBAL5DwnyIa88KuBvEEKpzxk2He9QAwVPXkiULxJcd28zz00PcNnjzzxqRO8u2Q4PblBrLwbCHG874YHvVl3i7xkTbC8XL8Rvamwtjy+rqw84shfvHyTrDzTqrQ8NjSCvcCq0DyiIKo7ltc6PCnEKj3O8VE7ja37u/ef7Tzi78c8o2yMvFB2Ij28sJo8nT5xPIJMjzyESDO7aQiBPINxibwxUkm7+4EmvINKIT08xI4888yfPLbSvTw54Oc8t0WIPcjUjzzI1I88tNSrPASDjztJ5hW7SgsQPYncGzh5/VW9LeNaPR0rfb2JAwQ7Rp4Pu5GPNL2+rqy70l5SPJcjHTzRhyi9JnykPVe4XrxAcPQ7yYRRvJQAkbtnSdQ8sbMNvDPqjTyQRcC86qTOusfUjzsbfSk9wNE4vTIpc73gzLu8eP/Du7AZ2zwiDTa5/6LEvPftPbyuawc7+wzuu/cUJj1xSE+7HxMAPKdmwrxAl9w8//CUvDQPiL1cmKm8RN30PINxiT07Ktw7Vy2XPYaUFTwneja9yas5OU3e3buiq/G8IuZNPZghr7zngUI8ZP9fPDcLLLxwcaW8GVodPXhNFLymaLA85qyGOyMyMD3HE3W7DlsiPEuU6bzL9a08yqnLPBRR/LwqEA29GOfSvLuyiD3egse6u+//PC4Kwzz9fco8ATuJPdI3arw+dFC90ImWPH64prwhNgw8cPzsPJ6MwbyDIzk80GKuvOui4Lo5VSA71KjGu1QKCzx5co680a4QPLP9gbw5B9A8vTn0PDx2vroEDlc8bgBJPQqgUbwaf5c9EVdGPBDk+7wOXRC70/gEvb059DzDZw88U3BYvCs1B7sHfzM8s4hJvQZaOT2aayO8sBnbu7/TJrwynL28LbzyumZLQr1wSj09PukIvIxLiryUABG7cuKBvGzZYDxqj+w7OOJVvAI3Lb2zrzE8nLWXPA7o17z2FpS8W3Mvun/doLwPggo9Dl0QveEYnjziZIC8PU3ovArHubwPNDq8DBGuuymdQrsCYIO9OixKPPcUpjxPeBC8ZP/fPHTepbwPggq9n/8LvV/inbzzfGE8r0KxPHcoGj23qWc9dN4lvbb5pbzk6+s8m7eFPIMjubyKs0U8uczzO8NnD70LOgQ9oqvxPMzzv7rA0bg7shX/PHOSw7wMOJa8UAFqPKTO/byUssA8frimvFFLXryXrmQ9vGLKu8+LhDyHaz+9HMmLPNTPrjsW6648CfCPO1crqTwh6Ls8AmCDvLBAQ70dUmW9VuG0PMjUj7xnSVS8kPfvuxBXxj3oz5K7m7eFvD50UD1Al9w82WMXu2AHmLyJQPu8ZJsAPQ8NUr1wmA08rvZOvdjuXr20rcO6MFLJu5K2HD0hwdO8r2kZO1/iHbsp6xI9Bwr7vN7OKTzXGaO6Oipcve3FbL1MVQS8RncnvfGpE70RV0Y9rc9mPV6WOzogw0E9PukIvcNnjzxUbuq86hmHu4kDBD0dUuW7FBQFvVuaF73UgV68uhjWvJj6Rr3/eW68hm2tuj+ZyjwbL1k6t6lnve4TPTsQC2S9d9pJvP7LGrwSLnA8srGfu7GMJb1ylDG9enCgPH64pr12AyA9s9YZPcNAp7sXm3A9SZhFvV+SXzzIX1e9BjNRPcJCFT3KqUs9rKj+uhCnhD3gfus4N71bvcPw6LwUUfw8pBxOvPQYgr0CXhW7rEaNPEC+xDtWLRc82jrBPE3eXT1evSO9ZHSYPJKPtLxyu5m8G30pO8uAdb1vc5O96hkHvSMJWrye2hG8f90gu9HTCjwHWMs70O31vE3eXbzSN+q6f4/Qu3qXiDx7lZq8SZbXvJprozyL2L88n4pTPLP9gTzfp0E9H+wXPKuFcjwnnzC8m5CduxPvCr3xqZM7XwkGvar8mDt8k6y8mdFwPLAZ2zuQbKg566JgOzTBt7rKHoQ7Vy0Xvf1WYrtanIU8s9YZPfymoDyUi1g966LgPE4FxrupsDY9sbMNvZj6xrxCL6G52hPZvCdTzrqBJxU91/K6PLgcMj0xUkm7aG5OOwoViryibAy90DvGPJ7aETtI6AM9ch95PO8Rz7ycjq88aQiBPORgpDxY3di79e8rvbqNjjwQpZY7iLchPXO5q7zGYzO9HnlNvUjoAzwKxzm8k7QuPeoZBzwWEhe9jvvLvMc63TwyKXM8G6Ijveashry4Qay6E++KPR/qqbqi+UE8HscdPaRqHjzyp6W892AIvcevFT0jMEK9Nr/JPPPMn7ub9Py8SuQnOueqmLw35EO9U3BYvCRXKj220j08a928PMwaqLzromC8FHjkO1ABarzngcK7zj+iu/Knpby6jQ49jyDGPNSoxjxUbuq8uxZoPE8D2DuStpy8OlOyvKD7r7zdW1+8WpyFPBPvCr0vBue7SguQu3ez4bxMVQQ9ZpmSvCd6NjvGYzM9pEO2O0JWibzD8Gi8pM79uxPvirydPvG8EFk0PaIgqrzS04o824ajvHqXiDsK7qE8NuaxPOzuwry4QSy8Z0nUuyI0njyRuIq8gI1iPONikjzI1I+81Fr2vFbhtLzCQhW7n4pTvA5borxPKsC7vodEPLSGWz2yY0+98DbJPHpwIDwXXIu6Nr1bumZyKj3EF1E9LwhVvdsRa7xhBSo8NuaxPEoLkD0E5+47EVdGO2R0mLr56eG8ITaMvLhBLDwuCkO8m/R8PHYDoDwXECm97cVsPDIp87zmXja8ft8OvEjog7x/BIm89zuOOkRSLTx9Q268EAtkPFlQI7wv3/48718fPb05dLy2IA69aLyeupFD0jxylDE7JH4Su1qcBTyxZT29MnfDPEZ3p7zJq7k8eiBivPR84TtHJ2k8Gy9ZvPnC+Twz6g09a7bUuzLFk7u2q1W9Yiqku4z9ObxZKbu89+29vTtPVrw3Cyy95qyGvATn7rygiOW8Q1QbvNODTDwrNQc9IMNBO0fDibzY7t68Milzu0239TwMwW+8vodEvVF0tDyXI528aG5Ou3BvN7wHMeM7f4/QPO46JTtI6IO8OAm+vFO+KD2Ebxu9vLAaPNfyurrGsYO8xGUhPRN60ry0rcM754HCu//JrLwQpwS9cW+3PKIgqrwE5+48smNPPG9MKzx3s2E7hPrivOoZB715co48k7Suu2C5xzsTetK8ws3cOyd6Nr0AxlA8lyMduD2bODxncLy8BIOPu1OXQDyTssA7ydKhO251gbyDSiG8E8givDHHgbwWxEa8iQEWOkR5FTwIy5W81Fr2OyhPcrp6STi84T+GvOuiYDqEb5s8NzIUPHIf+Ts4Vw47TC4cPXG7Gbyy2Ac8vWDcOkLh0LtK5Ke8Ib/lPLJjT7u2qec7vodEPERSrTsKFQq8lGRwu2mTyDroqCq92xFrPNSB3jvWG5E81Fp2O/Iy7TwdeU26K+c2vCHou7ze0Je9p7QSPQue47z5Xhq8AmADunPgEz03vdu8NTQCPPA2ybsEgw+9lyOdPO+GBz2C/r48cuKBPHLiAT3I1A89ekk4PL+sPr3jYhK9OgP0O18JBrmXSoU56cs2vAd/M7zdNHe85IcMPNdAi7uh1Ee8ufPbPC9WJb2WJQs8WyXfPIe5j7w2DRq734BZOzGgGb0TyKK8vLCaPF7kizyqhfI89Hzhu23Z4DsboqM6j26WvGC5x7se7oU8IgtIvIEnlTwz6B+8PsKgvLywGj2xsw091IFePKTOfbx6ItA8L9/+PDIp87zBRIO8XJipO2CSXzq2q9W8YrVrOlRu6jt/BIm8Bwp7vKEiGDzWzcC80tOKvCcFfruj99O8P8CyuwMQxbukkQY9cCNVvG4nMb3BRIO8EX4uPMeIrTwMEa68iY5LvfnCeTxYUhE8GTFHPZ1l2bubt4W8GVqdPNuGI7x4/8M7d9rJPGdJ1Dy714I8l67kvJeHfLys0dS8+wxuvPzNiDwwooc8odRHvHcoGrxga/e7eiJQOrOIyTxiKqS6Sy6cO3KUMTt4Jiw90GKuu2EFqjtXuN67Ng2aPGjjhroPNLq8pz9aPRsIcbxbmpe8ws3cPO5hjT3gpVM7ZCbIOaiLvLzZFUc8Ccmnu2SbAD2+h0S8dLe9vHRp7TwHCvu810ALPSILyLuSj7S8krQuPNyrnbvCGy28mpKLvBxUUzqAtEq9rh23vOIWML0Ld/s6SguQvAM3rby3RQg9raj+PAt3+zxKvT+7i/8nve4TPbwbfSk7CFTvuiR+Ejxb/vY8RncnPX4ECbtHdTm8BqgJu9TPLj13s+G8HFRTvEnmlTx2Koi881X5PDji1TyZRim7UAHqvBPIorxiUYw7phjyvPuBprxbcy+8g3GJO2huTrxQAWo9CXtXPfzNiLzwXbE8hNP6PNRa9rqW/iI7NA8IPbP9gTw3vVs8NEx/PMwaKLzpWOw7aZNIPXeMeTs+wqC8IluGPISWAz1guUc7t4L/PMHPSjvnXMg7i/+nPMEdm7x0BQ47T1EovG3ZYLsUUfw7OyrcPNGuEL3BpnQ8iWdjvGJRjLzUWva7LePaPGCS37yM/Tm6kJOQuiCc2byoYmY8Td7dvPkQyrsJyac8IluGu+cOeD2Ui9i7mR/BPC9Ut7ywGds7qvyYPDt4rLy+1RS8KukkPOzuQjy0+5M8XwmGPB1SZbr+8gI9yV3pvGdJVL3aYak8SguQvIzWUTwEg488NOifPFv+9rsdK/07wIPou3OSwzwjC0g93tCXOtBiLj1nvgy9Nr/JPE3e3TyfitM8SJhFvP/wlLsZ5eS8omwMPW3ZYD3i78c8B1hLOxR4ZDvW9Kg7qvwYPCjGGLx6+fm3e26yPKxGDTwY51K8W5qXOmCS37xZKbu7oP2dPEBw9LyNrXu8YrXruTkH0LsIfUU8SEp1vGC5xzwsvHI8xxP1O0EKJ70bL9k6NHPnuzQPCD3ROdg8HMkLPGi8njzeqS+8d7PhPKwfpTxz4JO8cJYfvXlyDr2btwU8CVRvvNyENTsLnmO9Ipj9vDe9W7vHOl280oW6vKTO/TcOWyK8aQiBvEYpVzy9OXS8o0WkPNb0qLw5fIi8arjCuhpWQTwHzQM8XErZvFuaF72bkJ2683xhvJRk8Dw7UUS8JyzmuzTonzwzw6U8B6abu1eRdjyJA4Q8DDiWO5u3hbze9RE9MKCZunj/wzy/06Y80O31OzoD9LvxqZO8dgOgPCjrEjyHuQ+9tvc3vLceID1OUxY7dwEyvczM1zwUn8w6dLc9PZn4WDok4vG7+6gOvH5qVrziyN874fG1u8CD6LxgLoA7ckbhvHu6FLlfuzW8WVAjPAISsz2qIwG8po+YvO/o+DzeqS89S7vRvIApA7zn0QA9YGv3uzngZ7yxFX+8NJpPvJD3bzwZgYU8SOiDPEcnabx8upS9Rp6PvEZ3pzzL9S08Dw3SO4eSp7wT7wo8JwX+vMn5ibyRarq75oWeuwwRLr3WpGo8LAwxPf19Sj1/tjg8/C96PEYpVzygiGW7Qi+hu4Ilpzup1x686IHCvOHxNTzTqjS8GjFHOz/nmjzWpli8Mp4rPf/wlDxWusy7kWq6O9SB3jsq6aQ8eUsmue/o+LwnoZ45PJ2mvDxNaDwqwjy7ch95vGDgrzxAcHQ9gdnEPCjGmDoJyae8Dg9AvQjLFTzvhoc8D4KKvF1I67tA5aw8qGJmvLLYhzsIyxU80BTePIe5D7qbkB28CH3FO2sEJb26Zia7qTv+PGls4Lzrycg8ydKhO9Dt9byZbRG9a7ZUvLsWaLxUvDq7jCQiulPlELy0hts8/Kaguz+ZSjoLExy8edbtPHAj1btImrM8NwssPINxCbwAeu68J3q2O1eR9rsQp4Q83F3NO3y6lDz3Ow48yYTRPEAMlTqrrNq754MwvJaw0rxKC5A7yV3pvDt4rDse7oW86vKePAB6bjpXuN68IJxZvECX3DxZdZ07QL5Evdju3jwxebG7wNG4vCB18Ts44tW8wfayvO46pTyBJxU9qvwYPD7CILuSj7Q5ko+0PHO5q7vRYEA8FHjkuxQUhby2II48CVTvPJEafLyxsw28aeGYvHpJuLyCTI+89u+rvEN7A70C68o7yqlLvHjWbbxGng874xTCPOeqmLwyUNu8eCQ+PBnlZLsvL728m2m1vILX1rwAem67U+WQPHj/w7ye2pG7ydKhvE239by8sJq8MaCZO1+UzTybQk28p7SSvHdPAjwwLU877O5CvXJtSb0PNDq7t/XJOwqg0bxflM08BFynPHRpbTxQdiK8bFCHvKli5rwZ5eS8n/+LvKcYcjsLd/s6Xr2jPK6QAT16l4i8sYylvAE7ibxuAMm754MwPSKY/bxbc688mdFwvGnhGDj5hYK8eXKOvWsrjbyAjeI8W5oXvLb5Jb2ZH0G8B3+zvPUWFLyYIa87L1S3vIRIM7xfLoC9uosgPKJsDL08TWi8wfTEPCl2Wjy589s8VJXSu023db1jdoY8+DkgPCwzmTws5ci88KsBPEZQv7xLlOm7Qi+hOSG/ZTwpxCq8ABaPPMzzPzx7IOK8oPsvPVgEQbwhNgy8gI1iPICNYjwKFYq5wNG4O91b3zsxoBm9e7wCvUR5FbwAoda8xzpdPOasBjy9OfS7b3MTPeCl07xt2WC6jCSiOyahHrw5VaC8y/WtPO8Rzzz1yEO87hO9PBALZLyUskC9y4B1vFffxryAZvo7ZE0wvFLAljzwhJk8B3+zO9cZI714TZS8eSLQuw5dEL3BHZu6VAqLvAaoib3cqx28MHufvNGukDzQYq68ZCbIPJltETtadZ28MC3PPLIVfzuz/QG8HVLlu4RIs7xRwgS7GAxNPHq8grpWCB27oIjlPL6HxDxsKZ87RHkVPbap5zpflM27yxyWO8DRuDt2jHm8rNFUPNRadry714I8GlgvvYIlp7xq3yq82D4dvJq3hboGgaG8FhKXuMGmdDz3n+08iWfjvDQPiLtyu5m8Ei7wvBPIIrp2Kog5FcTGurar1TsTyCI7EqMou1LAFj3oz5K8TFWEPIKwbjy5zHM8XL8RO6vTwjtqj2w8ys5FOar8GL1Wusw78jJtOt1b3zxb/na7m2m1uzKcPbywGdu5frimvKFJgLx7+Xk8MndDPHdPgjw9Teg8OLl/vDCihzwdUmW7aZPIOjY0Aj1Tl0C8LFqBO2AugLvnDng7h7kPPJtptbx/trg6oNY1vBCnhLzDGb+8eCYsPXgkvrx/3aA7rpABvQs6BLyqhfK8ntoRPExVBL0bVsG81IFeO+DMOzxjAU47hx1vOhTGtDyXh/y61s1AvefRALsxeTG94zsquyfIBrwCXhW8WSm7PAfNA7zAH4k8vIkyves+AbzXpOq7u7KIvENUGz36g5S7sI4TvcKm9DwMwW88cLgePEtryTz0s/G8jnVzOZc8zzzuJam85SzLu4o4IzyTGAC9K47ivL/49jylWpi8SUzTvLCKUT3w+H89VH0oOz2yIL10pRI9KqIKvHbECD3xrXw8sT/OO+7apbsQO4c8S7bMvMFJ7zz0GBK9UNu3O6b2kz1PDbq7jvjtO2Kz1rwpb+y7yabRu6A1LTwiyCI8KKHuvLo4LL0UkVi82kcVvdK4sLzCMG69dsQIvD81G71WzqC8TCBGvMJjDD3jwlG6hX2xOnzPVj3s1DC8KYjtPGfYQb1EKIQ9JQAavVzAbb0QVAi91FSsPKrjBz2oko+8pVqYPAd0K7tfe1+9ftVLvcU24zwmnBW8ni+4OvYdaz3NYUO883yWO6b2kz3UIqo9DTUSvV4rg7xbDA29Hw2xO3FtG7xLhMo85V5NPF12Brwc1Tk89jcIvYLCv7zye3q7KbsLvYw+GL2R/uK8ECIGPesGMz0pu4u8ALNEPcHHkLzFUAC8nf21vK5SWj1yOxm9lm5RvesfND3hcVk76x+0O816xD2FfTG99P50vKQJILz4PGE928oPPRkBxzwJrKK7Bo0svZxhOrxF3QC+ZW7IPAl6ILyhuCc9BVW1O9irmT3CSos5clQaPBIn37xZ0/k8KiTpO5GVhbyoYA09MYFLvPMxk7tRkDS7gdvAPITItLya98A6KvLmPMArFTzJptE7cwmXvDI2yLu3Mre7OUIyPKn8CL3hWFi8Rd0AvF3ziz1tL6+7533DvCzBAL2rZgK9b06lO+R3Tj0X4lA8JgCaO45djr15Zd286EtBvHDqoDwMgJW8dUGOu5vFPj00ucK86Bm/vCCQqzzU8Ce9yArWPG9OpbyCdzy8rLZePGfxwjyNqBG9pYwaPatNAbzFBOG7q00BvT41G7yRF2S7iQahvEfJ2Dzsu688CXogvcgK1jqjIqE78Ph/vQIEvTrA+ZI7xU/kPACBwjzpnDk8KwyEvcnYUz022Dg8MYFLvbN3RT2P+Qk8kuVhPVsljjwc1bm8KiUFPVi6eDsmABo7u6KlvB/bLj2SSgI9gHFHPCkk6TxcwYk8wxiJPVcAIzxmPEa7KbuLO4iDJjwnOJE827EOPatNAbu9wH+9Mf5QPUoBUL2+Q/q6K3VhPDUjPL2stt67XXaGvHvo1zxdQ+i8rM9fPYtwGr1PWD09lB1ZvE8Nurwf2666Tu5Duem1ujwAzMW8txm2PELwjDuRlYU9FMPavOImVr0dija98mL5O0X2AT0EPLS7mKbIvFpwEb0AgUI8YprVvCX//Tv362g89+yEvPe55rySSeY8weCRvIzAdr0NZ5Q8Q6WJPF3BiT2RYwO8qRUKPYWWMjwUw1q9w7PoOwCaw7xLnUu9asU1PRhly7teK4M8G2vAOiFFKL26Hyu8STNSPSuOYrzG6188jxHvPCjUjDzFBOE7vlz7Olmhd7w4jTU8vFciPbBxUL0q8ua8oAMrvSN9Hz0SJ987XKfsuaVaGDyTaNw8Rl9fPT2Zn7z9xVC9uVEtPI7ak7v83lG8pigWPZ9nr7wrC2g73JgNu1tXEDzBe3E7lB1ZPMWCAjxacBG8vsGbPI3zlLzaLpQ7CcUjPSmJiTyXCs08IhMmPVs9c7qPEos9zUjCu4yn9bxmCkQ8u9QnvZQE2Dy/XHs8tn06vEroTrtGX186s15EvQ7qDjxBIo+8A7m5PLyJpLzoAD68s6lHvJOBXb022Dg98seZvFntFj1lh0k82i4UvY/5iTyO+G089YHvvKqxBb18a9I8jD4YPeXhx7wmgni8HCC9Ovt0WLzu8yY94iZWu2BJ3Txu5Ku7WokSuyjUDL0vF1K880qUPGKB1DxO1cK8QteLOzuTKj0bIL28jxILPa45Wbz7W9e8xYICvaNUI7ypLgs9aFs8PV745DzptTo96Zw5vPt02LpLhEo9Auu7PIV9Mb3ylHs8hBM4OXhHA72m9pM8SPtaPc1IQjyN2hM94ibWOyQY/7xPP7y7v/h2vGY8xrzCMO48m94/vGkpujuLiRs9cLieuOcywLspu4u9f1hGOt9sALxLnUs8H9uuvJcjzjxWtZ86RfaBvJBiZ70Mspe90Gc4PZXS1bzs1DC8ta+8u5xhuj1LhEq7dUEOPBP1XD3AlPI8/N5RvD/qF728PiG9W/LvPIfnKr3dGwg9W6KTvTthKL05ELA5A6C4OtEcNT0pu4u8cZ+dPJCuBjxCvgo9WAX8vNx/jDxflOC8T1g9venOO73a/JG8ZATPvPGUe70ZAUc9vfMdPUUPgzrU8Cc99MxyvF/5gLv+Ycy8QYYTvD5OHD2RlQU9JrWWvTDlT70R8AM9+ylVvMbS3ryOQ3G75RNKPZB76Dz2tI07eBWBvXhgBLw95CK91PAnPF5dhbvyx5k8dSiNPL7BG72/dhi8P+oXPMTNhb2OXY49WaH3PI4RbzvfbAA88hKdvCt1YTyrTYG9GGVLPV4rAzyNXPI8xJsDPYANQz0ntRY8gnc8vSdqkzxF3YA8nf01vFi6+LzBrfM8VJYpvL/49ruuINg7JOZ8PMRoZT0Myxi9kuXhPF9EhLwHW6o7WDgavMP/h730zPK9FV9WvVuiEzxYUZu8S2tJvS3f2rzwXaA8cOqgu8GUcrzrBjM8xYFmPIP6NjzqUba81FQsvBlMSjyFZLA7gHHHvItXmTtUr6o8A4c3PERBBbyn9hO8iz18vJaH0ryvo9K8IvqkvMPM6TztPqq8RfaBPDGByzvBYnC7ijgjPDSHQDzcNIm680oUvU5xvrvKQk08vaf+PDU8vTxYHn09ZgpEPeV3Trvye/o8Qr4KvffsBLw/6hc9wJTyvIwMFjwbIL08eZdfO4wMFj2H56q8A7k5u2S5S7zf7t68XKdsPAYjszp6l9881QmpOyOWoLzylHs8JOb8PJ2TvDzEm4M8pkEXvauYBD0ltPo6WQYYPXPXFL1mI0W9f6NJvfTlc7tEKAS9GQHHPNZaobteEea8XMEJvRtrwDtimtU8GRpIvFSWqbsF8bC7jvhtPThbs7z58V28sIrRPDNoSjzjqdC83p4Cvdx/DD2NJRe98jD3PBNAYLzXDx69t0s4PFqJkrywcVC9YoHUvHgVgTypFYo8quMHPVjT+TtHLV28wZRyOya1Frtnv0A87IktPKYPFbtAn5Q84KPbO4zZ9zy1rzy9cYYcO1ntlrs0h8C8GehFvObIRjwBs0S8s0XDPNrjkLz4oYG8ZW7Iu45dDr1zCZc8CkgevdyYDTyfmTE9hhmtu1slDr34BQa9BQqyPOsfNLwr2gG98Pj/PNjdG7z1ggu7zuQ9vCcF87tYBfw7vcD/O6A1LTwdirY5vo59O9HqMjs0uUK8ta+8PPX/ELzi21K7cwmXvMVpgbwo7Y28YEndu2h0Pb3yYnk8mvfAPBwHPD37dNi7YrPWPDbYuDyoqxA8X3vfuv2szzyggDA9dVoPvd9sgLvArXM8zJPFPIe1qD1EWoa8K3XhOZLlYTsHWyq9s8LIvAphn7vucCy8gD/FOUBtkjyFljK98ZT7PIyn9Tq8VyI6IsiivEh+Vbwlgvi7WDd+uhMOXrte+GQ7vImkPJDGa7zFHeK6cOqgPMCt87vCMO68+FXiOs/LPDwlGZs7TFLIuyzBgLup/Ai9XKfsO/ceh7z20uc8Xvhku/eHZDxbDI082hWTvL0loDxVGSQ9KVZrvMD5Ej0/A5m9Wj1zPO5wrLwGjay88HahvTPrRLtPWD29iz18vBKlAL1Z1BW9vkN6vCFFKLzTOys9WDgavPnxXTwwSVQ6HDm+PMUdYj0Jk6G8Uak1vQzkGTwba8C7wa4PvaWMmryP+Qm8olSjPBPc2zwr2eW8bzWkvBYUUz2y9Mq8jKf1uqt/gzzx3/67ALNEPZDgiLpNB0U7jaiRPCRknrxDpYm9zMXHPLNexLxC14s8TQdFPPqm2jv1Nuw7XagIvSWC+LyH56o8Q/AMOqYoFrzAEpQ7QSKPvKS+HL37QtY8vnX8uUvPTTxfxuK8qfwIvPluYzzuDKi6riDYu4tXmbxf+YA8KqIKPLjOsjon0/C8Bo2svFdQ/zwo7Y283JiNvPhuYzs0h0C8dsQIvaG4p7rxrXw8s15EOkC4lTuLb/67V2ocPZ7kNLzenoI7AmhBPHhgBLy77Si81QmpO/0QVLxfYl47kGJnPJEX5Dv+YUy8n5kxvcWCgruSSgK8P+qXOjnFLDw22Dg8UkWxuSabeT2ihqW8Jf99vECflLteK4O9jkPxO1yn7LrXD568p92SvCQYfzy+jn283rcDPVmI9rw/6pe8uu2oPCo+hjzJjVA6Hoq2PCX//Txlh8k8/sXQO5tCRLyUHdm8XiuDPFbOoLyn3ZI7LENfvBEJhbwT3Ns7wa6PO/QX9rppKbo81yifPJLMYL0ooe47FJHYPCmiirzS0bG8jCR7vMRo5bzUCam89P8QPbBYTzxcjms8X2JevJusPbs+NZu5a5Mzu/N8ljyy20k83GYLvVpWdDyHzik88pWXu79c+zwmtRY9+FXiPPHGfTzPyzw86x+0PHgugjvzMRO8Qr6KPLlRrbwSvgG9nsuzvOgAPrw3jbW8Wgtxu+s4NTza45C88Ph/vEfiWTvw+P+64IUBO8VpgTzxrXw92N2bOxBUCL298528ftVLPFSvqjztVyu7QVQRvQgQp7wc1bm7W1cQPTgpMbtEQQW8sSbNPKM7IrsEPDQ8Rd2APFynbDy0XsQ7q5gEveAHYDwswYC8GejFvJHHBz2/+PY6H3E1vJ+ZsTmiVCO69YFvPLuipTwjlqA7KVbrvI2okTtpKTo9weCRvAv9mrxF3YC6m6y9PKMiIbyLcJo6X0SEPA1OkzzQsju9c/CVPMLl6jwSJ987DWeUvKJUIzkqJQU7w7NouFjT+Tst+Nu6/xbJvBHXgjz1Nuy8LnvWPJDgiDvSn6+87VervFmhdzvHPNg71r6lvHb2irzzShS9Tw06vMpbTr31gou8CayivEu2zLwQO4c8NVU+PSW0+jz3Hge82PYcvZIX5Dp8a9I6NSO8vI5D8buO+O08JlB2PEE7EDwQIga8wxdtuy342zwo7Q29xevfvDqsKzuRYwO9DU4Tu+OQzzzyMPc8ZlVHvcJ8Db2+Q3q8n4CwvPJi+btN7kO8bS8vvIpWfTwmN3U9WYh2PdpHFb0z0kO8iQYhPA+4DLy9p/66tPo/PH7uzDwmN/U78zETPBhMyrsHQqk7Te5DPZW51DtCCY67wa6PPFx1ajxn2ME8IuGjPN0bCDzi21I8q3+DPNWMo7wf9K86H/QvvPT+dDyrZoI8xrldPI8SC72iVKM8kuXhvEiw17ycxb671PAnPSpXB72okg+8kMeHuz2yILwQbYm8uJywux28OLzqarc8gcK/O7jnszxtsqm8jfMUPbENzLwgwq28wscQPCCpLLwbID07xevfPJDGazxrYbE8J7UWvKJtJLxWzqA8zv2+vIrUHr3AxvQ8/sVQvN0biDzHh1s8QiIPuhs5PjsEbjY8QYYTvPD4fzxHydg8K8Dkut8H4Dy+qJq8PMuhPBVfVjxr97c89P50u6qxhTyM2fe8KbsLPfHgGj0nBfM8uWouPOd9wzspcIi7cZ8dvFmI9js4jTW8oZ+mPPhVYjwJeqA7eC4CPH7VS7ulWhi8vaf+uo7aE7zI8VQ7WB8ZPD3kortt/aw73p4CvNNtLT2mQRc88zETPFa1H71dqIi7IuEjOxT1XDtUfSg8EFQIPIH0wbvFBGG8gpA9PMZpATvDmue8wCsVvQE2P71e3+O6fFLRvI5djjyRfAS980n4vF/5ADs7SKe8jad1vJL+4juLC3q8HAe8u9jEmjwnUZK8KKHuPDGBy7zxlPu89mmKOsDGdDua98C7NG6/vLvtKLtjNlG8txm2uiun4zxxhhw8TQfFvLrtKD1c84s89h3rvKM7IjxvZ6Y8dFoPPA+fi7zzShQ9FslPOmTSTDzhP9c8j/kJPCgGD7ynxJG7LnvWPPPHGbwn7PG7SZdWvFcAIz2AP0U8JBh/vT/RFj1+vEq6OUIyPYMsOTxvAyI7JwXzu/TM8jqP+Qk87NQwPO8lKbvzfJY7g0W6vLT6P7vqOLW8ylvOO+1Xqz2rTQE834UBvScF8zyaEEI88zETO/SacLwYM0k8ilZ9PFgF/LyEr7O83RuIO/MxE7z0GBI7+FXiPPY3CLyljJq9C/0aOiEspzyQ4Ii8V1B/PD5nnbyFljK8V5wevT/Rlry6Hyu81nMiPAOgOL1bDI06Od4tPSgGDz0gwq08XagIPMJi8DwcBzy89+tovMArFb2RF+S8cwkXvdE1Njv7KVW8CawiPE6KP7qS/mK8bRYuPe+PojuiVKM8ykLNO9a+pbtDvgo8kf7iujqTqryNJRc8mNjKvMTNhTzdGwi8w/+HvOCKWjwEVTU9j63qPAjeJDe2ZDm8wmLwvKAcrDspb2w8kkoCu5CU6bzHbto6dKWSOyokaTx0Wg+8Q3MHPYrtnztdj4e8PeQiPOR3zryuOVm8gfTBPOd9w7z2tA09dsSIOhgzSbyErzO9bpkouyYedLueyzO8dSiNvEudy7t3YIQ7K6fjuSolBTzOFsC7p90SPRWR2LqihiU7ORAwPItXGTyXI868kWMDPMJ8Db1aPfM7Br8uPI74bTw3jbU8d6uHPCjUjLvUIiq8ehravFg3/ryPjxC7vtqcvIcALDz3Hge8jo+QPPNjlTwL5Bm9BfEwPL3znTwOAxA8WDgavUmX1jzA3/W7y/fJvCOWoDvYxJq8dUGOvPRjFT0mnBU9wuXqujgpMbxUfag7kceHPFjs+jsI3iS8Too/PPMxE7y0+r88nf21PBAihrpjBE+88F0gvJEwZbyJnKe6UCa7vDz9o7zCSe+79+tovODVXbyMPpg8cNGfu//9xzymQRe9+qZaPBzVubyKVv28KvLmvE3VQryKu528JEudPOavxbye5LS6m8W+vA7qDr0L/Zq8Wgvxu49EDT2VoNM7pvaTvEZGXjxF3YA8+LqCvBfi0Lz62Fw6KXCIPOpRtrnEzYU8aHS9uQ+4jLyPxuu7+KBlOsPM6byRY4O8ujisvOmcOTwtxtk7KgtoPFR9qDwJxSO8XMGJvKb2k7x9OVC7a3oyPTMExrvbyg88tn26uSTmfLxbJQ6896BlvWWHybySMYE8XiuDvMD5Er07L6a8Q4yIu1dqnDt8UtE8z5k6O81hw7r05g+9kklmO4LCv7wmaXe734WBPMVQAD30GBI9ZYdJvJimSL18UtE8QSIPuzMERjvTny+8jdqTvGQEz7yHSy+8otGovCFFqDvEmmc7u7smPA2ZlruIgya8wjBuPZ7kNDpdQ+i7weARPKVaGDyj8B48dsSIPFgFfLz0mvC8aRA5vcS0hLzxEh07PeSiPJQE2Dzmr8W7FhTTPKn8CLx29gq7Jjd1O2WHSbvAK5W680qUO72n/ruTaNy8XMEJPdEctbt4LgK9XhHmvBAiBrxMIMY8XhKCuxq2Qz2zRUM8i29+POdLQb3zY5W8H9suvHI7mbz3aYo7CBAnvKPwHr3MKUw5Too/O7lRrTwpVuu76x+0PI52D7zzMRO86x+0PHRaD7zvj6K8XdoKvFR9KLxyIhi8ozsiPHJUmrn/Fkk8h+cqPMLl6jsT3Ns8CZMhO6qxBbzptbo7+qbavF2oCDz2tA08X0QEO8a53TsbtsO6WOz6vOvtMTo+NZu882OVvCuOYjpaC/G8U16yPDp6qTxmPEY8yynMvOs4tTskZJ68lzxPvBbi0LtfxmI8K8BkOmMd0LvDMQo894dkvIThNT1JTNM7d2AEPV4RZjw2v7c8DOSZu/braDmcYbo8kf7iOVjs+ryvo9I7V4OdvKhHjLohdyq6b04lOiCQK7yM2fc7vlz7u50WN7wNNZI8JoOUPKAcLLuQrgY9twC1vK4gWDu0XkQ8AP7Hujd0ND3O/T67RFoGvB8msrzxxv07h0uvuyRLnbz2BGq8sIrRu8jx1LwX4lC8mo1HPf/kRr3m4Uc8JrUWveOQz7vYkpi8TCDGPCdREr0x/lC8R/taPOs4NTxZ0/m6Wu0WPCjtjTwurVg8m6w9vZQ22jyGSy+9KNSMvELXC7y71Ke8gyy5u3mX37vtPqo8lATYvHPXlLwyNki8BDy0vPY3iD2RlYW8rLbevPBEnzw4KbE8wPWMPIC8VjxES2O9A4FRPJX1Hjwe2ma84XKBOw0Eyzwt6VO8Xj/ivNytvDz899u8ztGkvCX+xTx9lo09bh+MvL7CN7rT8fE8EJk4PA06Hj0FTxA9CUaWPJH+GDzCuT28GYRGvJ5CRT3P/em8DWnhu6DasD2uUbK89Ke3vL+/ubzZ7Ak8VCuNPFfsvzuhnuE77FcTvSX+Rb3uHkK8z84mvSQ3l7sZUgW9fl08vGjC27ygPMm7v/gKvPqYQT08MRK6kJwAu4DyKT3aGM+7VCsNPcNRKb0LQBo9J8yEvdbyBb1deDO9Uif7NAZ71Tvi1Bm8KC4dPaEDeLjcrTy949EbvSQBxDy03SW8OGnPuyKiKT0FtKa8q4bxvICNkz2IFok99toMvaYt07uKEA29eGyyOQVPkDukM8883aq+PGxUy7w9wu08t55YvSooIb1owtu7JJwtvWsoBr2tioO83qfAPCTSAD1Jq5E764bWPNX1g7zsVxO9r3r5vOIDXT04aU+9ytoevbg2xDtxqms7huMzPKhgqD19lg29lFo1u43Rv7xtIoo9B66qPPFLGzwChE+8uf3yvFQrDbo21OG9Ufu1OkSw+ToAW4g8dBAWvI8ElT2W8qC6LuZVPLyS4Ly5/XI6vcW1PBciLry3OcI8f1q+vG4fDL1jM2o61fWDPOJoczvPzqY7zNcgO8l4Bj3MaHy81vIFvQV+0zuH4LW7DD2cPIhCzrxZhCu87LwpOuRidz3FFdq7zjY7vRQoKrwsUei8eKKFugYWPz3Qy6g8F1iBPL6MZL3YVB69zGj8Ox0//Tx5abS8PJYouyyHuzz9yJi8D2PlvNnsCTznYwu9GLqZPOu/p7zH4xi9F1gBPBeHxDw3bE29OpwkPTJ7Q7x++KU7vcU1vIw51Lvlzp28KvLNvLF+Cz1QNAc9JTSZvFMuizzu5XA8EDSivYcP+TuVkIg8LuZVPHae8zzC7xA8KC4dveokPj3dqr48C6UwvcwD5jzoxaM8LenTPBdYAT0B7GM8Mq6YPDZvS7wFTxC8Xd3JvMCGaD0DgdE8cRkQPBA0ojwI2u881oZfPWhgwzs6nKQ8hOmvPBQoKrswfsE8jjNYPZzjqrxuTk+9XtpLPWNpPb37yxY70/HxPEexDb3pJzy8P1fbPJZXtztQ/jO9ummZPSjJhrx/9Sc98HreO22HIL10P1k8nniYvKzvmTzKbvi8/ZLFPPAVyDpD6Uo98eYEvRnmXr3sVxO9RBwgvNvmDT2JeKG7vcU1vBQoKr2216k7IQfAvJaNijy9+4g8o/17vHcKGr1d4Ec8Xq4GvdytvL3UjNs72t/9PD+8cT29xTW5RkVnPVOToTt2OV291ut1vH9avryfCfS8zTk5PUXjTrxce7G6bSIKvOmMUrx6ASC8MBkrPWorhLygPEm7qcLAPEV+uDxhb7k8xXpwPLzIs7wbRfk87CFAPa5RMr0T9dS81F0YvVKWHz19lg09psi8vLsBhTyZTj08FPJWPZWG+rxcqnS9EsJ/PDeioLxOOoO8q40BPQ83ILzzdGI8zANmO3BIU7zFevA6TwEyPKq/wjxttmO8REvjO3VyrjsDVYw7NagcPejFozzU+IE827A6PWcxALsn+Ek93BLTu8WwQ71EHCA8DZ+0u9zjjzxDugc9aGDDvJ0WgDsFtKa7bk7PvO8YxjyBVMK8eTPhO222Y7yMnuq8UsLkO8wDZr0oLp082FQevRmExjyhA/g7Dc73vJRaNTwn+0c8guwtvBSNQL2+jOQ8DKKyPKu8xLwM2AW88Hreu7z+BjycD/C6g4eXOp/aMD0Vw5O8Sg2qvH+QEb0NaeG8wOt+uiVj3DydRcO8S3JAPK96+TzDUam8QMMBPYJRxLznyKE7+dESvRvg4rt2nvM8w+wSPVpLWj0dP309hbDevAW0JjwPyPs8XONFu4mk5ryJeKE7bbZjNfr9V7wshzs8JAFEPZCS8jtsVEs9WhwXPCX+xbzD7BK8IqKpvJmEkLzfQqo8RbcJvfqbP7xhpQw9vfsIPHnOyjv4aGq9AFsIPN7gkbzoYA08tzzAvGCoCj2JP9A7bIqevLNCPL2TjHa9r+mdPIZIyryNNlY8fcLSu1aKpz0csR+8chYSO4C8Vj1XUdY8w1GpPL7CN70/vHG9C9sDPCVjXL1HsY08kJyAvSDU6rtDHx69MnhFu4wKET3p8ei8/FxyPDuZJrxPNwU9bCUIvXmfhzwZtxu9ReNOveT94LwdP328K4o5vBRXbb2HD/k89aQ5PRQoqjuL1zs90/Fxu6uGcbyoYKi8k4z2vMAh0jwx4Nk8estMvaVmJL1iByU9l1S5vBYlLL24bBe8g4cXPKM2TTxwHA68a/IyvU+cGzwSLia9xuaWOhgfMDwrwAw8SK6PvAG9oLy2chO8kGatO/Tdir2v6R09OToMPa9ONDuvenk5VoonvdUkxzt2OV29CHXZPG8VfjxZsPA8fSfpPKA8ST0btB08BRk9vfkA1ruLPNI8xRVau2CefL19lo08otS0uqUBDjw9XVc8q4ZxPAO6Ij1CUV+7lSHkPHJ7qLvk/WA8l1S5PHuSe71M1Ni9mOwkvW2HILzvG0S8zjY7vRmExrxJ2tQ8dN3Au29LUbym9/86Z5aWPODalTyhnuG8yHsEvWvysjvzD0y7nniYvPHmhDygP8c8RrSLOz4rlrvep8C51IzbvNt657xBirC8pGkivRnmXjzc4w+9Pfs+PKYt0zu3A+87zzM9uyVj3LtvgSS8vl0hva6HhbtKqJO8E8YRPU46Azx2qIE9jG8nPb6MZLzsVxM9+zAtvfwtr7x/kJE852MLvfHmhLtknxA97lGXO8xyCj2AjZO8kf6YvJLFxzpqvN+89tqMPL+/Obw7NJA8YdRPvPOqtbxOacY8ACU1PS29jjxJq5E8l4B+veZc+zwZhEY8yqRLPfnRErz8LS+9PV1XvTk6jDz03Qq9BkySPL4nzrwoyYa8H3JSvSXPAjsg1Go8LroQvFaKp7xQLfe7uf1yPRRX7bwmlrG8LFFoPdceS7vONru83EgmvUElmjyVhvq8bk7PPBi6GbwCHzm9OGlPPGMEp7yOzkG9XqR4vHIWEj3h15c8gLzWPMxofDxWVFS8boSiPDVDhjzIewQ86Sc8PH5dvDnddOs8P7xxPMiqxzwUjUC9aZCaOzwxEryy4KO8vsK3vCKiqbu7MEi8hRwFPf4qsbyoJ1e8SdpUu+xXE72iCgg9epwJvW+wZzxCUV89Xq6Gu76M5Lxokxi96l2PPAbg67vibwO9MLQUPd1FKLwDS367djndvEGKMLwoyQY7AFsIPd10azvTYJa8r7PKOyxR6DueeJi6zmwOPVfsPzywgQk8RObMvDFMAL3U+AG8yHsEvJoV7Lw4BDm8P42uPGJsOz3yEkq8MbEWPRGWujx7yM66ytoePG5OzzyLPFI9o/37vNX1g7xEHCA8nniYPGGljD35Nqm83BJTOw3O9ztDIhy9ogqIvO+zLztcqvQ7huOzOyTSAD3Nbwy9q4ZxPHQQFrwFGT08JJwtu0LsyLtLckC8xbPBvPmePTwvgb+7Lb2OPPfXDryN0T88BU+QPAulMLxG4NC8EDQiPFxFXjwLpTA8f5AROtgbTTyeQsW8QPJEvMjgGr3iaHM8j87Bu6fFvjxPN4U802CWvM+YUzzJp0k9Is5uvMlCszxd3Um91vKFO7sBhbvH45i8Q+lKvf3ImLyjbCC9NQ2zu1H7Nbwx4Nm8IKWnvMp1iLxlLe48XBabOx9Dj7qVkIi7sUi4PG0liD3UjFu8kJLyvDc9Cjsafkq8VfK7vBL4UrxgDSE6Zv6qPM/96TzGsEO8KldkvDgEOT3insa8xUstPM42uzwB7OO8fcJSPXvITjxAwwG82k6iPCWZr7u6aZm9VSiPPDv+vLxLOW889toMO1bvvTxeEx08tzzAvI7OQb1bfi89q40BvDgEubvmXPu71IzbvEYZIr3uUZc8KvJNvF14MzzRkte86l2PvHAcDjwDVYy8hOkvvF91tbw8+748BU8QugS3pLtES+O8cX6mvNVaGj19J+m8o/17uoQV9TpCIpy8qyFbvbAV4zvkmEo8W+ZDu0W3CTzXubS7vMgzPYDyqbxjBCe8wlQnPAIfObmQnAC8XKp0PFsZmbuly7o8zmwOOqzvmTtcqnS8pWakvD+Nrry+J068KvJNvLtmmzxHFiQ7vMgzPEkQqDyp+JO8sqpQvFRaULxoJ3K9N6KgPPz3W7zQlVW9IKWnuw3Odzxi0dG8AVF6uvDpAr1MpRW952MLOyQBxDy+wjc8ayiGPPdo6jyIFok8AMAePH6TD70driG82ukLPaE5y7v22ow8hbBevBOQPrzkYnc8VJAjvOZmCTnw6YK8vcU1Pa0bX71Hezq8XXizPB14zrxok5i8mOykO0AoGL0rwAy8dtfEPAirrDyxSLg8yadJvKtXLjwPyPs7aCfyvDQQMbz+VnY845tIvTalnjzFFVo8h+A1vXyZCz36/Vc99QnQPICNEzxeP2K7+mLuPHxgOrs0ELE81ryyPBTyVrxXUVa8vMgzvH6TjzwNOp681b+wuw/I+zvaGM+85jC2vKxUsDu3bxU71oZfvHuSe7u9xTU9ayiGvNEtQb0dE7i8Mz90O2q83zx0EJY8UP4zvYSEmTu4NkS7k/gcPSn1yztgDaG8x3R0PGUtbrygchw6cX6mPPGwsTx4ooU8RrQLvfLZ+Lcyrpg60mMUvYkTizzDgOy8zJ7Pu2E5ZrxcRd67DZ80PL+/uTyQAZc8INRqvEOENLujNk09pi1TvGbI17pgcje8a7zfOu8bxLwlzwK8Qe9GPKr1Fbve4BG9PJaoPLR4Dz3+xZo8ec5KvHXaQry0CWs8SqiTu5rmKDwK1PO7uNGtvGorhDw/ja68hbDePHaeczzkYne8x+MYvFWNpbuA8qk827A6vAzYBbxhpYy8hw95vIQfA71mY8G8LkvsvLyS4LxhOWY8MLQUPTZvSz2dFoC8HLEfvUXjTjsHSZS78hJKvJP4HLz+j8c89N2KPPr91ztv5rq7gFq+uV14szza3/282rO4vLyS4Dobe0y9QlHfPNytvLt7Y7g8+Zs/vcOA7LwMB8k7jdE/vLv3drx2qAG89qG7u0l1PrqbFWw9Sg0qPTUNM7wxfkE8lSHkPGTL1btBtnU77FcTPF4/4jzjm8g83Q/VOz9XW7zYgGM7lL9LPXelA7ty4D69VY0lOzFMgDzMcgo8FyKuPEd7Ojwgpac8Mz/0PA3VB7zBV6U6ogqIvI4zWLzcSCY5aC6CO6A/x7yDIgE8bbZjvF3dybzCub08e/4hPSBv1Lxi0VG7Mq4Yu22HoLzr62w7yd2cvHst5bw/V1s8CUYWPEKHMj1ibLu8Dc73POObyLzP/Wk852OLu3EZELzSY5S7yKrHPGUt7jtgcrc8UjGJvMV68DsdE7g7JZmvvPg5J71xGRA9WCKTu3aogTzpVv874D+sOxe9lzudqtk80JXVu/uVQztsG/o8XxCfvO25Kz0AwB694NqVPPVuZjznY4s8VlRUPIFXQDzaszi9eWk0PeHXFz0pkLU8rYqDPNt6ZzqEFfW727A6vCn1y7psJQg8VY0lPPB6XjwBUfo7qPuRujF7w7wg1Oq7wu+QPHAcjrz8XPI7YaUMPP1jgrxioo48yA/eu4Z+nTyxSDg8ZS3uO75dIb0fDTy8ZS3uO3R1LDy8Lco8GLqZOlocF7y+J068qfgTPUO6hzuIQs68D9IJvY8EFb0DVQw85/dkvOVpBzwCWAq9arzfvBbAFTye3a68U5OhvL0qTDsfqKW8Y2k9PO62rTxOaUa8kJLyPA3VB73FSy29NqUevJJgsTwmljG802CWvMMb1rscsZ878w/MvIZ+HTz50ZK8Uif7vHiiBT2HD/k8fvglvboEgzp6nAk8oQP4O4FUwryF5jE9VbxoPNiAYzzKP7U8b7DnPOAJWbsQNKK87bkrPEXjTrx9J+m83qdAvAEiNz1ibDs8/PdbvfAVyDwNzve8w4DsPGaZlDy/v7m7+DmnvPnRkjqnKlU7glRCvPDpgrziA927jNQ9vBxMCTwdSYu6wfIOvGIHpT3LPDc8uZjcvKJvHj2RmYI8r3p5N6u8xLkBIjc8REvjPP/CHL39Y4K8izzSu5WQCLxEHCA8DTqePDAZK7sTkL698w/MvHaogbvLPLe8BBy7ujU5eLzhpMK8zjY7vfmePbxaS1o7RrSLPPU/I70xRXA7HBY2PdqzOD3YVJ48mrDVPGCoCj2n/o+8pJhlvMpueLwEt6S8ytoevelW/zvkbAW83XRrvC7mVTw4BLm79aQ5PV+riDsqjbc6iEJOPHJ7KLvp8eg7J8J2vIgWibzWht87/sWavEPpyjweEDo8325vvOfIoTwCWIo9IAq+PEAomDxrjRy8u/d2vEG2dbuDh5c8L4G/u0a0i7y/+Io6M0kCvCvvzzuAvFY7TjoDPbn98jsTxhG8dtdEPEiuj7y6aZm7t55YPJWQiLzUXRg9iT/QO2Rmv7zrvye9sOYfPLTdpbzbsLq7k4x2PPyVw7uGfh09k/icO2/mOrvjnsa7VoonPfxmALyqv8I8z86mPHlpNDwpvPq7GRyyuzkBO72LDY+7lvIgvEYZIjyv6Z08K8CMPFYlEbywFWO8kvuavANLfrxmmZS8rO8ZvUSweTu5BwG9AFuIPG2HoDzY74e8ACU1OzZAiDxpkJo7ttcpvZgb6Dw2CrW8M0mCvE83hbuV9Z68JzEbvT3C7TxiByU9snR9PDkBu7tE5ky7OM7lO/uYwTtwSFO8HqsjvHyZCztiByU8Y2m9O4mkZrrnY4u8uf3yu6aSabyfCfQ6UDSHvMNRKby5mNy7pQEOvCjJhrx8xdA8QoeyOmoh9ju0eA+9DWnhPIgWibwK3gG9nA/wvBmByLsTK6i8vJLgPMzXoLzO0aS7qCfXvBWKQr0WUfG8iQl9vLXaJz0bRXk7oQ2GvAulsLup+JM8vfsIvf2SxbyIQk48PV1XPKByHLvkYnc7LrqQOgwHSbz5Nik8d2+wu1A0h7zbS6S8bbbjvPNFHzzK2h68VfI7PE46gzx1ci68t2+VvAreAb02QAi7+s4UPb5dIbsgCr48dtdEvMzXILxmmRS8XKp0vdjvh7wAW4g8BkwSvRp+Sr3p8Wi81ut1uiClJ7z+YIQ8ZshXvBRX7bu8/ga9S9RYPBlSBb2LPFK82OX5O3xgujz8La88/Pfbu08BMr3p8eg8lSHku8raHjxqIXa8Ul1OvFq3AL3rWpG76cIlvJmz07sQNKK7TgSwu5gb6LqcfhS8mrBVPUXjTjxC7Ei7QoeyPM9pELxxGRA7I2nYPJ3gLDzMaPy8uNEtvU83hbwTxpE7hw/5PPxmAD1xRVW8UC33PFQrjbyvTrQ7UMhgPNrffbwyrpi8fMVQPLk2RDzD7JK8NBAxPdUkR7zuURe9/FzyvJMn4LxrjZw8AFuIvJe5Tz0ZHLI7l4qMPJ2qWb3Y5Xm8JvtHui5L7LwOAU28h+C1vEMiHL2Xioy6YtHRvMWwwzxttuO8qfiTPK6HhbznyCG8grbaPMOA7DsZ5l68TjoDuzSrGrzoYI281F2YPHF+prlvsOc8rLnGPD34QLuxSLg8QMOBPNytvDzc44+6EvhSvABbCLzf3RM7CtRzO6y5Rjve4BE8k12zvFyxBDyrvMS7SwqsOz/yRLvTxay8HtpmPLnOrzy1eI+6sX4LvYcPebtok5i8JvvHOc05ubkfqKU8u8uxu6ZjJjwSwn88FyIuvHBIUz3kbAU7DQTLPCnGiDy8Lco82OX5Ou25K7lrKAY9BLckvDcHt7xok5g8XhMdvDc9Cjxce7G5AIpLOy29jryVIeQ8ruybO3lptLyfEIQ7ozbNPNpOIjrRLcE8estMvFW86DcpkDU8t9SrO5X1Hj0dSYu7hYGbu5OThryly7o69N0KvBWKwrwDgdG6rRtfvN2qvryze428TKUVPRH7UL2a5qg7oHUavXyZi7z103y8/iqxPIK2Wr2kaaK8pmOmOxlL9TqSlgS7pDNPu2ohdrqEhBm8SasRvfz3WzySyEW9NtRhvGJsO7pPNwW8wFqjPOI5MDzinsY8pGkivZABF71cRV68/iqxuq96eT1GtAu827C6vDPaXTyu7Bu7bPCfPDmSITw8LPO82VRoPJVNuDsuPyu9RxwavWnipbvMkCi9aypnvbPcQT1+iJK89gUKvbHE+Dw8d5M9qniMPI2NIzxH85E8DP6GPMrsBzw/XAU9JOy0u5AghbySaMY4Mk0lvZucAz39hE29tIDiPKOFoD0kFb27Xj0fvXvMKL1vg4E7M00lPHReJD3RlNM8n/yNvFbPGr0YzJW8Qx9fvUL21rwA76a9ZAeDPMWdvLuDvxS9fTaCu1pYLT03/z+8c0ZbPB4iUT10sLS8WO7TPE+zJrytEt68lKkXvfDplbxWz5q97ASkO+REjzwNJw+6gm2EPZmEujua1sq6uAIFveW/p7zBFCo7XRSXvEVgMD1rKue8G7GHuyIfjDsfxnE9fwMrvUhuKjs6DTq9MDXcug9vULufse08uCuNuzRsXr0lkFU88yCYvK9TL732keG8L+0avWEA+bxZtAy9Xj2fPCf6LrttGai8Tg8GPehSCbw+lky9mYQ6vZfxWD2e0wW9bzhhveWWnzyyxHg8G9oPPP8Xrz2XQ2m8m5yDOwgqVL0VOTQ9w6cLPIM6rbwCiXi7F1jtvI0Ze7wtmwq+XRSXvO0tLD1kMAu7qsqcPEsqFD3ZyBC9/koGPS3+WbxHoQG8g4y9u7gJ9bziAz49o4UgvR6/AT14EL8778ANPRZivDvsiYs76c2hPDW+bj3IMB47JjR2NqVSSTwVbAu8Ri3ZPGBc2LzkIne8htR+vCFZ0zz0m7C6d2wevfG2vrwQPHm8yFkmvKFtVz20V1o8+hp0PM8q+rz5TUu81pj+vPDpFT2n5Sq7eiiIPNwQUrx7zKi886xvuyTDLD0s1dG8XE7ePHvMKDwGC5u7Yu85u7KKMTtODwa9kj++PKB3prohWVO8ySZPvd6js7x5Oce8pAA5vdgC2DstcoI81143vVuBNTymGAK8XaBuvSq2GDwGCxu6TSBFPOD1QzsKvbU8h+xHvabN4TxSJHC8tIBivXfxBT0xqYQ8PaCbPGJLGTwWi0S9xXQ0PW1rODwCifi8wrjKvDVbHz0CYHA8mVuyPDws8zzI5X08ROWXPTuI0jyLViE8D0bIPOGIpTrSMYS8Q5OHPboy/byrbj29WbQMPSkZaL2/R4G85hE4PV64N72qeAy84V8dO4zH6jsBDmA7OBeJPXXZvLuco3M9rtiWO4eat7xC9tY8m8x7vNKUU7ygd6a8UAW3PIB+w7zzIJg9pVLJvH6xGr1neMy8LZsKvcfl/Tq7xd684gM+vDd62LwJpew8Lf7ZvGkcbTzw6RW7YUuZvH6xGr0tcgI9us+tvMhZpr1g0AC9qGBDPddvdj0XBl08ra+OPcy5sDz+nBa91R3mO1VUAjs5QBG9i/pBPaK/ZzwTQ4O8i/pBvVJvEL1vYem7qsocPbKKsbueiGU8MfsUPbgJdT01EH88ATdoPC1yAjwqZIg8EbAhPRAMgb3d1go8s9xBvd0omz1HoYE8qbJTvJgaYTwJQp08YXShPFZUAry6zy29HH6wPDtfSrzwl4W7kNXkPC9oM71FYLA7l0NpvFb4orsBYPC7d/EFPesV4zwJQp28E8/aOzRs3rzK7Ie8V3O7PM4jijyvpT+7Hac4PaHJtrzbvkE9MDVcPGsB37w1EH88Cff8O4rROT2Yt5E8tFdavcDrobz0xLg7N/8/vYkEET1OOA69x7z1PG69SDycF5y6JWfNO6ZBCr0p8N88xPmbvDxOCz2Uh/87HCygvJafyDzwO6a8fHDJvCdd/rxMzrQ7fl8KPOQi97tf4T+9Cfd8u1yqvboTplI8mAkivZMM5zyoYMO8qsocvdrxmLwpx9c7lSSwvK9Tr7poRfW8cFCqPOWWnzzt2xu8UpgYPN6jM73a8Zg8aEV1vJeOiTz3gCI9VvgiPQMmKT2Yt5E9cP4ZvcCZETxSHQA9mTKqO4Wr9ruvfLc8LKxJukO8Dz2cUWM8T7OmPMrshztKtms8zTRJPNaRDrzd/xK8mYS6O0qN47zi2rU8fmZ6vOR+Vrz6yOM8bZRAPJafSDyO3zO9YNCAPAeGs7wFbmo8tR2TOqZBijyilt87oujvvBejDb0GCxu9wE5xPLG9iLtokJU8VWVBvPHfxj1dFBc94tq1Ol8KSD3ntVg9qqGUO5Spl7wtcoK9JlaOPN20cr2k1zA9qdtbvU6bXbvSD+y8L7pDPD+/VD2dkjS9PE4LPXpRkLyxcug8WUBkvDlpGTuLI8q8H3RhvUFSNr219Io8m5wDvWLGMb1FssA8Z3hMPXk5x7zg9UM8/dZdvUylrDuWn8i8RMN/vHpRkDzY2U89LVBqvRUQLLwawsY84yzGu+QbB73tVrS8ve7mPEfzET3t2xs8fywzvfqf27pau/y88gjPPLEPGT1w/hm6xu9MuybiZbzjLMa8vt0nvNP+rL1DcW891kbuPOzbm7whWVM8al0+vW2UQLyGSCe9tsEzPe6oxDwNUBc7NOCGPGhnDT1yebI7nBecvOSn3ryjhSA98DsmPGpdPr3H3g09vljAPNIxhDw153a8M5+1PBOmUj1R0l+9PpbMPGD5iLzMkKi8sb0IPGXUK720V9q8IGOivM8q+jvmY0g8XE5evWqGRrx3laY8PfIrvBejjbxl1Cs71zUvPCnw3zv0cii93dYKvKhgwzyIsoA8bMeXuzXn9rwTfUo8mYQ6PMn9Rjx3IX68+44cvd3WCr3SMYS8lU24vKcOszus6dW7FTm0ukZWYTuO37O8+hr0O8BOcTzIWaa8/DK9vNaRDrseIlG8jWQbPY+s3DwQXhE9k5HOPE0gxbm3PEw8vqrQuwprpbxneMw8D0bIvOwEpLurbj05aEV1PJkyKju//OA72/EYvLaYq7zFdDS9SztTvJ27vLtw/hk8m3rrO4ktmbz7t6Q8sb2IPG0ZKDqqf/y5Ko0QveGIpTyQIIU8/ijuPCTsNDyhbVe9lId/vRBekTxOxOW8F6MNuysIqTvkIne8BjQjvBOm0jxvOOE8wJkRvZucg7vDp4s8EDx5PTo2wrzaGqG8cP4ZPXchfjwuPyu9Nq2vPEEAJj3PdRq9rtgWPUtTnDvgcNy7UvtnOx/v+bzQ8DK9GwOYvGkc7TyVTbi6oHcmPW1ruLsQDIG8XXfmvL6ByLv6n1u8Kt8gPeKxrbr17UA9C2FWuxa0TD2oicu8/YRNO3GiOrxL3/O7m8WLvKiTGr2A0FO87GfzPIS1xbzOTJK8AWDwOUWywLyC6Bw6h8M/PKeTmjzDpws9OKNgPLZvo7xsxxe9YSKRPOENjTwNil68x7WFPGniJb2a/9K8O1/KvIzpgrzntdg75+gvO6IKCDzXNS882kMpO1ju0zwuUGo6or/nPCc0djzqSDo87JD7ui15cjurRTW904MUPJByFTwznzW7ogoIu1uBtTzSWgy9tzzMPEKkRryWdsA6rq8OvO4jXTyqLWw9AO8mvfcukjuH7Mc7KEw/u8K4Sj0rMbG8ilYhOyVnzbxDce+8ROUXPFJGiLyhbVc8EbAhu/yOHDwx+5S8AWDwO3Z93bya/9I8T4qevP6clrsoTD+8oW3Xu6+lv7v23AE9lsjQPP5KhrxghWA8nZI0PWm5nbyNOxO9PfKrO1mSdDzl+W48in+pu6FtV7wqZIi8Nq2vO2WCG70DJqk8eEOWuGhu/Tunk5o5IVlTvNbjnjzs7Fo9DP6GPEqNYzurRbW8jTuTO3HLwrxpPgW90ZTTvZRed7zSWgy9elGQvBOmUrzVHea7nyUWvDUyFzrSD+w8AWDwuxNDgzsHAUw8ssR4POyQ+zzLPhi8KTuAOnCzebxoZ408ds9tuqvzpLuWn0i7l/HYPNiwR7sq36C6MiQdu4ZxrzzUok28fEdBPErYAzyqf/y8PaCbPIqosbyRxCW7aEV1PDm7qbzz/n+98GQuPTRs3rwg3jo9Q7yPPMs+mDxuQjC8RJr3vDRsXrzmETg9+dIyPC2bCjwPb1C8PckjvBPPWr0i1Os8kEkNPJfxWDxvivG8GnC2vNa6FrtCpMa7h8O/uyBjoro/XIW7dStNu/GNtrs1Wx+8LhajvJrWyjz3LhK8aTS2uk6b3bvjLEa8hDDevPZo2Tgodcc7IQdDPBECMjx+iBK7wuFSPSdWDryMI0q7PcmjOxvaD7w3UVA5yxWQPCzVUTy7xd670/4svJI/PjtjQco6NRB/vAthVrzkfta7x96NOx6nODzw6RU8qU8EvQW5Cj1+sZq7jWQbvCnH17toRfW93SibOxsDmLuNjaO8UpiYu+yQ+zzJq7a8T4qeO/CXBbyNZBu9/YRNvFL7ZzzvqEQ8FotEvK2GBj02rS894rGtuV49H71+FOq8DVCXPLLEeLxej687BZACOw7Lr7xC9lY8/a1VOpqtQjoZgfW7RJp3uhA1ibza8Zg8xcZEO6K/57wx+xS9XhSXO7jg7LyqeIy82kOpOrVGmzzzrO+79rppO1SOybxc/E285Ut/vAKJ+DvT/qw8wrjKvL/8YDzb58k6ch3TuzlpmTz7tyQ9ra+Ouo1kG7zYAlg8Y0FKPM6vYbz7jhy7xweWPPjSsrzsiQu9lSQwvDW+brzPnqK85W0Xuz13k7vIWSa9+44cuxpwtrxSmBi889V3vIzpAjwJ93w8yas2vGzHF7x8R0E7Kt8gvGEikTxePZ87GhTXvGehVDy5VJW7tkYbPcDCGbxZi4S8KEy/POGIpTscVSg80lqMPPCXBT0C/SA9ssR4vN56Kzsq3yC8n04evS0n4jxJ6UK6dOMLutOsnLwQPPm81pj+u7EPmTwfEZI8ATfouMcYVb0TplI9z8equz+/1LxghWC7x96NvNoaobzVHWY8YQD5POKxrbspOwC97NubPCqNED3pHzI8E31KvPj7uro8JYM8KTuAvLGb8DtEmne86c0hvUYt2bw253a6aJAVPTijYDyAVbu8Z6HUPH8Dq7tOm128cfTKvHjnNruNZBu9CRmVvGEiEb2MEou8Ri3ZvB6d6bzd1oo8yIIuPUO8Dz18R8G8aRztvOWWn7zsZ3M8y6HnvJi3kTvzIJg84Q0NPbG9iDr6yGO8bRmovDUQ/zyMEgu9g4y9vD3yK7yK0Tm8jOkCPU33PDxPs6Y88ba+vODkhLz0SSC8LKxJvIpWobyle1G85W0XPdBCQ7rSWgw9Tg8GPecpgbj+xZ484TaVPOW/J7xej687+U3LPIL5WzxIlzI8I0gUO/l2Uzz68es6iqixPBj1nbwyJJ26Ih+MOjxOCz2thoY8VVQCPVtYLTzDp4s8nyUWPU1JTbw9dxM8Qs1OvEKkRryMdVo6n04eu1GAzzyw98887qjEu4wSC713IX67lId/PBaLRL2BbYQ6Cff8t+D1w7rp9qm8Lf7ZvFGp17xixjE7jjHEOwsPRj2BS2y8cCciPVIdAL3HamW8DLPmO7bBszsXBt27c7oDPWk+BbypTwQ9G7EHvGQwCzzDfoM8Wi8lvXHLwryPWkw8mVuyOxHZKbyNZBs8ytQ+PLOzuTzoB+k8Og26vKe8Ij31Fsk81wwnPEsBDD31Fkm9W9PFPKHyPjyCEaU8cCciPN3/kjz5Tcu8FwbdPH6IEj25fZ088Y02PJkJIjyFq/a7yxUQPKLob7wev4G8PFX7PPIx1zx/2qI7z3UaPdnIkLx7ehi8wWa6PFoGnbyhRM87phiCPHRepLyA0NM8YPkIOv2t1Tw04IY8KmQIO4v6Qb3n6K87eiiIPFKYmDyfJRY8D5hYvJSAD7xR0t+8CfCMO7+qUDzxtj69fogSvQE36Lz9/2U7hVlmvLiO3Lz+xR69S1McvT9EvDurRbW8p5MavCQ+RTyBbQS9W6o9OGhnjTzp9ik7TpvdPPaR4bwFuQq9v0cBO/plFLyM6YK7kZudvFJN+LwSsCG8+U1LvIzH6jzaGqG89e3AvLGUgDxKtus8H+95vKQReDw5QJE8qlZ0uqB3prymQYo8R8qJPLI4oTw6Dbo6YQD5O+6oxDzE0JO64cJsPM8qerxvrAm9AQ5gPPxbxTxb08W6vi84vfHfRj3gwuy8/YTNPKtFtbpx9Mq7Ji2GPFL7Z7wNJ488fj3yugz+Br2KViG7XmYnvCh1RzwCifg7z3WaOwCTxz2UXne7iQQRvMCZET0f6Ak9mPHYOnjntjxnylw8mv/SPGQYQr2hRM+8z8eqO6hgwzwCqxA8CpQtvFPqKLxidKG9MONLvDatLzuMx2q8dDUcvOKxrbwQPPm8Xo8vvcEUqjoWtMy8VLfRPFz8zbxFYDA9sZQAPWNBSj0BDuA8Xo8vPRA1CT2qVvS5tm+jvJi3Eb0KvbW8NZVmvNZv9js8JYO8suYQvMDrIbwgjKq8aJAVPUzONDrg5AS8UdJfuj3JozsQE/E7L5G7u4ZIJ7qmQQq8sCDYvPrx67lgheA7u8XeO2fKXD0zyD09PFX7PP6cljwodUe8YK5ovEsBDLxbgbU8SZeyOEccmryi6G88LXlyOxRsiztrdYc8U+qoPLpKxrzskPu6RxwaPce89bxi77m8pClBPFovpbwn0SY9H+gJvCFZU7zwlwW9SRLLO8ZB3by2wbO8qqEUPLVGG7xuQrA8a3UHvHxHwbogtTK8tfSKPOQbhzuUNe87eL4uO8QiJDuoiUu9H+95vKQR+LsoTL88ZiY8Oxcv5Trn3uA8WWnsPPrI4zlSHQC8hh8fvZvFi7wm4mU4uAn1vOyQezst/tm86fapPG1CMDroUom86AfpO4iyADyAVbs7mBphvdG92zxY7tM51kZuvB/veTz8CbW8h8M/PLUdkzxtlEA9xp08PCdd/rsTQwM8Vn2KPIBVu7o4/786kj8+PMFmOrv1m7A8C+a9PEfKCTr5dtO7oUTPvAMmqbzT/iy8suaQuwKCCLxSHQA8zyr6u44xRLx2fV28bWs4vBs93zq44Oy7YPmIPDPIPTvTrJy8vDkHvZRe97uqf3y89MQ4PUL21ryPWsy7hAfWupMWNr3lS/+81kbuu8y5MDxfM9A8njbVvLSp6jv3gCI9qi3svJ8llryiv+c7l0PpO349cjvtVjQ8lF53O2+DAT0UlZO7MDXcO0npwrzeeiu9cctCvN20cjqHwz+8eWLPPPwyPTxN9zy8R6GBOx/G8bwPRkg8hkinPEpkW7uMnmI82LBHOB6/gbvI5X08htR+vekfsrzkInc8+SRDvHBQKrxg+Qi8wrjKudIxhLtaWK08tm+jOzHSjDtZtAy9fmZ6OxlwNrvLZ6C8FwbdO6HyPj0enek7PRs0Ow2iJ73lRA89ziMKPDrksTsm4mW8vqrQvCNxHL1hIpE841XOOmQYQjy/RwG8OO4APJtR4zwmf5a8haQGPc91Grz8CTW7RbJAPRECsjwigls7d2yePPtD/Dra8Zi8m8z7vN20crz6GvS7phgCPYfDv7pz44u8sZvwPMbvTLwxqQS8UAW3OgkZlTobA5i8JjT2PKQpQTw5uym88GQuPUrYg7yjrii9QK6VvJxprLvk+W47ZYKbu6flKj2ovCK8lnZAuzgXCb3HvHW8dgLFO+/Ajby/R4G8WUBkPP8XL715OUe7Tg8GPJRXBz1A1x28ElTCPGqGRjtvrIm82XaAPOX57rsrCCk8w+HSuxBekTuvfLe8CccEPVJvELycaSy7Av0gPfdXmjsTptI7dqblO1JvkLqZMiq8fEfBu/ODZ7zE0JO8ALxPPOgHaTwedOE73bTyvBuxBztOxGW6QNeduxHB4Lx89TC89ZuwPNR5xTzvwI08phgCvUct2boodce8Kt+guVBXxztjk9o8PaCbvJZ2wDuIsgA8cfRKO/xbRT0SsCG86sPSPLRX2jxm/bM7CzjOu+nNobrWkY48tsGzvI1kG73AmZE8JD7FO93d+jt3If47MdKMO13rjrxQ3K48zTTJOhJUwrzs7No7mv9SPB3QQDsRweA8cCciu0npQrreUSO8KRnoOy158jwq3yA81m92vGhFdTytO2Y7IIwqvPl2U7wx0oy7ZdSruwcBzLq8OQe9AJPHPCW5Xb1kvOI7Xrg3vZ8llrtvrIk6NTIXvPB1bb2MEgu93f8SPC+RO7tk5Wq7XwpIPFb4Ij0XtMy7njbVvDoNOjw6NkK9A0+xu+YRuDvwZK678HXtPCk7ADwF4pI81143vQLUmLv1P9G7Um8QvXNGWz10h6y7y2cgvfipKj3aGqG7k4fbPJxAUTyFL1c9MstjPIBMUDyGIr+8sKUkvS/BlLzu9VS9SH5+vNO9Wz11KGO8Zgc/vdE4tDw4eoo9ID/IPE0DXbuwiHQ6/9WAPXxpyTxkWM88oHRovCEyML2ntU48nHcxvVU3K730ejO96HD2O4/bND1Htd67bGJVvU/M/LyEqi+9YU4AurfzojxYoiI9s78LvbRe47wDqW87LhIlvSr4PbwlIs+9rRBlPbRRyzzNSBW9JvsGPHeg8jyojgY8YhcgvJRtKz2xN2S6n+Kou1UAS7w1bbu86UkuvWoUDryZGVK999gSPRIepDv8agm9kGBcPeOAVz2IVtY8F70yvBUOQ70ocxY9AKw4veRzvzzlSXe8MRz0OnSWo7z0bRs9LUmFvTL1qztW8zK9wiSoPL7wkLsDqe88R+y+vBxcQb20exO7IHaoPFu8CbypZL67YHXIvPSHy7ySKXy96HD2PO/OjLzDw/+87DlNvMExQDzTvVu9TH41vNDNPD07oQm96R9mvEOrjztHqEY7fU+ZPLFhrD1JSh48DS4FvPUci7x7x/E8ivitugR1D719QgE9n+IoOviHgrxH0g6+D7OsuyiArj20e5O8GUJaPYSdFz1rpk28Yj5oPHyTkbzomj69DS4FveEIyLxtSKU8fSVRveynjT3xRpw8R+w+PZIp/DxmB788W5JBOvhqUj0YbKI43HZRPZlDmruRRqy6NmAjPTVD87tMR9U7CUh+vQvDDT2Y5Tq8Qu8HvSH7T7x1G8s8kTkUPJCXvDwSRew7bGJVPBVFI73zlOO8XTQZPdkL2jy8hRm8BQfPOmvdrbvv26S8c7BTPIBpgD3BdTi8Z7YuPNSGezy9JPE8nE1pPKibHjv32BK93hipPKoGFjqZJmq8d6ByvRh5OrrD05e8AIJwvTVD87xchSm8l8sKvUh+frzlL8e8VslqvQx/FTw/q1i8O7u5PN1PCbw0sTO7HtRQvZr/Ib0j4R+9SJuuuyEIaDwOBL287WMVPD/VoLqJLw69F4bSPDLoEzoP9yS9f9RAveYVFz1ZQXo8FWxrPaoTrjxZQXq8l8uKPd/UMDuntU46UtlLvFuSQb39/Ei90G+UPAlYFr2wiPS8XhdpPIhjbr1bySE807BDPdbkWrzYXOq7O5FxvCEYAD3L6jW72rpJPd+qaLxtVT09lvJSvI/OnDsnp/Y8eHkqO5Ycm7ylE/e8rtwEPIrrFbwW9BI96Jo+vELf77xr3S29NhwrvSBZeLwrtMU7trxCu0CRKL1RYTw8XhdpvBVFIz2fq0g82FxqvXYOs7vZKIq6P8iIvDbyYr0MjK28OJQ6PaiOhj0e8QA9SVc2PfL1CzpH7L68pIE3vHPNAz0KBwa8XQpRPVR7ozxZURK7ttZyvGFbGL0VG9u8JhW3uwCSCD2BMiA8j7HsPDe+Aj1jtve8ZIKXPOVmp7sAnyA9x/qWO1h4Wr2tEOW6r7I8vaUT9zxEPU88fu7wvP/VAD10liM879ukvM73hDzqPJa8kGDcPIBpADxrps08nvzYO3x2Yb3ckwE99RwLum1IJbma1Vm9y9AFPexwLT2xYSw8xup+POen1rxJLe48zIyNPEYWhzwFB8+8DH+VPFO/G71Zr7o9+5HRO8BL8DsJZS48hhUnu1+PeD1EV3+7CgeGvBobEr1rpk27CgeGvMhI3jxQi4S8VFHbPCRmx7seCzE9HUIRPHPNg7wkkI885S/HvF+PeD1Qe2y8t4ViO4e0/jzqPBY8HTJ5PLVEs7zVNWs6Kt6NvFCLhLw+DAG9mJSqPECEED1RVCQ9x4zWvLCIdDx9XDG9YWiwuz/iODuQYFy7Xv24u7CIdLlK+Y27SS1uPZkm6jxQi4S7tSoDvBVSO71a41E9T+msPJue+bqIgJ49xXJvPPOU4zxLwi094FlYvVEqXLylIw89QtJXPDE5pLwu9fQ6dg6zvHewijxQpTS7lTbLPIrrlTzcdlE8iICeO3kbgjwJLs675HO/POvBvbxDq487JhW3PK+yvLzEjx88T9wUO14Xabw4eoq8xtDOPDB9HL3zvqs6wvpfPARLxzzu9dS6KTy2O17jiLyC7ie8Mr7LPElXNjx/neA8qUqOvK7pnD35M/I8VG4LvWFosDzYhjI9rukcPCxwzTxLpf28FvSSPEulfb1Ue6M8y92dOnWjOzzD05e8ZGXnO1Oiaz3RDuy8uhoiPTLoE72bnnm61gELPKEWQDw25Uq9MTmkvGFbGL0S9Fu85VmPvB7haLyIY+489+UqPS1jtby6Jzq83uHIvWbtjrzD4C875iIvvNO9WzwpBVY8kH0MvOk8lrstSYU85utOvF7jCLsaKCq9WK+6O8VLpzxIfn47MsvjvHx24TqX2CK9u6zhPJYpMz0UbGs7Q7gnvY/OHDxC/J+8Eh6kvNeter2dJiE9XGj5PFlRkrzjtzc8G7ppvUh+frse/hg6subTO+rrhTy5NNK8iGPuukLvBz0YQto8F5Pquwr3bbxlMQe7LJoVvVknSr3i7hc9AJKIvH+d4DwhCOi8QU0wO2lYhjxnti69VQBLO9ygmbzC7ce8iI02OzOkG709QGG7MSwMPcPgr7vYbAI7JhU3vfU2O7tkZWc8gu6nPGuzZbzcg+m8ST2GvLfzIjsq+D29O3dBvBvKgTxzsNM7FvSSvO4sNb171wm8DvckuY7ozDsRVQQ8bgStvJxdAb2G3sa6WgACvd/HGL0XsJo8dg6zvGe2LrwpIga985TjO/LLQz1hWxi9B7a+vAFbqDzZKAo8z4nEuBOjyzzwbWS8vv0oPZk2gjktVp28zUiVvBSWM7xvs5w8FGzrOrE35LtSEKy8d7CKPJh3erxaAAI9a7PlvEr5Db2IY+688TkEvDrI0bs8aqk8O6EJOz+r2LsGPq+66vidu/BtZLwuBQ28z7MMvZ/FeLoFIX876jyWPAlYFj3lSXe9qSBGvc+zDDx/kEi9oUCIvPrVSbyIjTa83JOBvEBayDzAS/A8U6LrvBg1QjwdT6k8QUCYPUvCrbykZ4e8P6vYu00D3TxRVCS9UgMUvfihMj1NIA29W8khPGumTbsNHu28gRXwvAoHhry3heK6qTr2vF1BsTzm+OY5C5lFPPOUY7yu3AQ7FgErvULvBzv64uG6EVUEPFuf2bzVRYM9nGqZO31CgT2TpAs9ztrUPKk69rwe1NA8ayEmvNeter0cXEG89QzzPJu7Kb3lZqe89GADPLOvc7zAW4i8O7u5O20RxTwcXEE7M6SbOQPTt7yAaQC8P7jwPN4LET2PwQS9Y+C/O7Ov87sPlvy8zgQdvYunHTye/Fi8W5LBuyiArrwwijS8NWCjuwSPvzyxKky8qhOuPHWjuzpYeFo9U6JrO7CYDDx/1EC9S6X9vPuuAT3m6867THGdvOLRZzyROZS8ZTGHPOYiL72pOnY8LvX0vGbtjrrn0R49trxCvTby4ryghIC8SI4WPH1CAT3omr68uhoiPC71dLxAhBC9AJKIvBUb27wbrVG8GV+KOSVZLzzrtKU7U7KDvEUwN70LmUU8M6Qbvd4yWTy/nwC9gTKgPL+fAL2xVBQ9tuYKPYu0tbu9eIG8Wg0aPU0D3bsAkgi9786MPLeFYjxbn1k7/9UAve/ODLyQU0S83uHIuSSA97wpBdY78TkEPKCRmDqK2328nGoZvHvXCbu6DQo9zlWtOw73JDrdT4m8O6EJPHYBG70cadm8VJXTvaU9P7w9QGG8iRJevISdl7yWHJs7m64RvFClNDxS2cs8+LtiPCr4PTyRRqw6+LtiPNEObLo/nsC7Zu0OPLr98bylMKc8+gyqvCSAdzxtSKU76jwWPbO/C7zoVkY8o47POcU+jzmYlKq6s5VDO8h/vrpK+Q2907DDPM+JRDupZL48gu6nPCBpkDwG+ja9zUiVO0OrD7xiFyA976REPJryiTxURMO8zKY9vLoNijyFTIc9D7OsPGCfELzfqmi8iTymO/SHS735Xbo8k6SLvBsoKjz5M/K8tSqDvCrrpTy1RDM8VHujvASCp7xBTTC9TGSFuxewGrylMKc8dvSCu+Ei+DysR8U8OuUBuwUxl7xJLe45NVMLvCx95bv8aom8LJqVPFIDFDw7riE88gIkPV+sqDqxVBQ8DvekO0L8n7x8dmE7+LtiPPFGHDz64uG8U7+bvIlzhrq7n8k6itt9vMxiRTuWHBu8E717vJkZ0jwJWBa9iFbWvNO92zyTvru8lv9qPEoGJryG69698vWLPB7+mDyLfdU6u6xhvAB1WDuxKky60EVMPBO9+zyYd/q8FuR6OdPaizzMYkU8z8Aku2bd9jwnjUY9y8BtPEvCLb0/nsC8aViGvJL1GzsAdVi8kthrPFbmGr2siz27bveUOpryiTtgdci8WV6qu3eGQjpwYgy7q8+1PFSVU7yPpFS9gSUIPcSPH7zFWD+8Kvg9vASPvzsoVma8f8coPG7aZL1NA928jhIVvISN/zzlL8e8W7wJvFiiIj2IjbY8Q8W/PIU87ztJV7Y8E9qrO24ErbzjnYc8BT6vPEIJOL0YXwo8QIQQPBeTart9JdG8kTkUOv0zqbzMmSU8vvCQO5xNabva1Pm8iRJePer4Hb0oc5Y8zUgVvGFOADx/uhA8likzvJhdyryJLw48P7hwPELfbzzgdoi8f53gvJrVWTyP27Q6Gigqu/L1iztUUVu6fu7wu7rjwTtC0tc6BHWPO8SPHz2scQ09SH5+PBVSOzwo0b68JS/nvDBT1DwSEYw8lg+Du/euSrxP3BS9kGBcvNBffLsJLk48VJVTPLR7k7xAhBA9gRVwPfldOr0bKCq859GeOyen9jtlMQc82vEpPRSJm7s2HCu8mshBPYbexjw0sbM8v6yYvGb6pjsm3lY8M6QbvFClNDw3y5q8XvCgvM4RtbwvpGS8rQPNPB+6oDyTpAu9hTxvPURnlzwdGEm85vjmvGUxBz0Htj694EzAu/ihsrwBTpC86HB2vIkvjrxeF2k8dvQCPSA/yDzG6v68wGggvN+6AL1e/Tg98G3kvKRnB7o+GZk8LJoVO5uukbu/glC71TVrO2vdLTvvvnS8zGJFPCEYgLzoVkY8FQ5DPfuRUbybuym8rGH1u3V58zz1DHO8fGnJvDkZYrtS83u7x7aePElKHrzi0ec86HB2Oz+4cDzAS/A8EUXsPPUpIzwYXwq837qAPHRfw7vJLq473Wk5PIkFxrqJEt46h8SWO2+mhDtqFA48YWgwvSEIaDz8hDm7XRfpPM04/TxLwq28xVi/PDxqqbzqzlU8S6V9u0r5Db2brpG7353QN9q6STxH0g48HKC5PAO5B72kZ4e8sG7EPBIRDL1yAWQ8CvftO+++dLuiCai8qI6GvHkomrzD05c8Bvq2vFlREj1ZUZK9+64BPdTaC7xHqMa8W5LBO0PFP7zmIq+8dIkLPEPFPzvq64U7msjBvH+QyLzAdbg8EhEMvTfYMrxDq488yH++O0xUbbxhPug7Q47fO7IdtDxMZAU9mgy6umSCFz3MmSU8pI7PPFbJ6jy5azK7oUAIPLbW8ju5UQI9JvsGPLd4SjuYh5K89EPTPL7GyDzq6wU7X6wou6ObZzwBJEg8otLHPA7NXLv6DKq8pTCnO/vIsTz+4hi83JMBPZLL07yeGYm4kH0Mu4053bzyD7w8gT+4PCBpEL1Ya8I71g6jPDt3QTsW5Pq7FsrKvLySsbzQRUw8VuYaO5O+uzy7n8k8vsbIvHkbgrsoSc68nITJusvAbTq5UYK8dF9DO31CAbz1HAu9E82TvP1AQbxPsky98G3kvL+sGDzRDuy8VuYavE06vTygdOi8t/MivOEIyDw4eoo8AU6QPL00Cby1DdO7d72iu1RuC7xW5ho81VKbvEFAGL1ZXiq8gsTfPAvdvTxSAxS9vv2ou3RfQzwvzqw8SvkNvTuuobudJiE7HU+puxIRDL3AaCA6T9yUPBFF7LndT4m8GHk6uvE5hDzocPY8eKDyu1Bu1LzZKIq8zJklPSiArjx/neC6l+U6vTSXAz2CxF+9FRvbPEOrj7xUlVO8VuaaPMExQLzXyio95uvOPFleKrxfnxC7pRP3uzLok7xjtne77DnNPH1csT2+xki81IZ7vHOwUz0yy+M8bTsNvMUhXz3LwO08VG4LPd+qaLym7K68fU+ZvNO92zz8WnE8AgqYu+4stTlu2uS8j84cvSO317vFIV+8BsNWO/xqCb0YNcK8w8N/vEBnYLvlWQ+9iHMGPLeFYrvYhjI9PUDhPD+eQD2QfQw8gT84PXRfwzyYd/o6qI4GvTryGbzzsZO8TfZEu9rUeTqG69674TKQu0i1Xjy5UYI6Mr5LPFFUJLyqBha9JSJPvFLZy7kLITY8HtRQvNhcajtEZ5e3lg8Dvbus4TpDxT+78G3kOh+DQD3rl/U8i7S1O8fDtrvmIi88mv+hu9yDabuS2Os8IQhoOs7a1Lysi72768G9PD7vUDx/xyi8LhIlO5CXPL335So9ht5GPV+sKLySAjS9xup+PMvA7TtwbyQ9J7eOPDh6Cryuv9S707BDvHx2YbyTpAu9pGcHvcIkqLzZC1q8KFZmO5ueeTyzv4u7FIkbuzSxszvO52y8L8GUPNUoUzyyA4S9n9UQvMvA7TuW/2o9aiGmPKCesLusYXU87h+dPDBT1LxC0tc6Q47fvC4FjbwTzZO859GeOtVSG7yZNgK9StxdO2F1SDv8WvG8rtwEO5kZ0jwbumk8OHoKvUibrjxknMc7oUCIPHUo4zxtSCU8gIMwPX7UQDxfnxA9zTh9PBL02zpKBiY8u6zhO21IJTwW9JK6KuulPIhj7rhmw8Y8ZFjPPN4LkTxIfv68N8savbfzIr12DjM8pRN3uwEkyDvUo6s8rIs9vU+yzLpzzQO9tUQzvOLR57stLNU8f7oQvQ5INTzHjFa8OshRvJrIwTun35a84JC4PAR1j7z/uNC7pErXO6lKDr0SK7y83JMBOvkz8js4hyI9hI1/vDBwBL38dyE9GF8KvUvcXbwlWS+8FTiLPAkuzrzQb5Q8XSeBO2YHvzs9QOG7tuYKOqU9P7tZQXq9PgwBPMUURzrxOQS99GADPaPFrzzojSa8sW5EPDL1K72xN2Q6RD1POxLnw7vNSBU8c7BTPEEW0Lw7rqE8gsRfveiNprvzlGO8wu3HujCKNDlfj/g7zudsPIEVcLyS2Os8d4ZCPBobEryBPzi9aiGmPN7hSLqtLRW856dWPBPaKz2wbsQ7Ov+xO0IJOL0aG5I8MugTPRobErvcoJk7UvP7utSWE7zYhjK8RD1PPNhsgjxtEUU6L8GUvIB2mDuZGdI7TS2lPNyDabyIgB47dRvLPD1AYTwop3a8LWM1OxR8Azy/nwA8VL8bvPUpI7pUUds8zveEPAL6f7zBMUC8rumcPFivOjtHqMa84FnYvK+yPDyZNoK8KIAuOi+k5LuPpNS8VsnqPDo2kry9eAG91uTavNyD6Tre+/i7XrnAOz1A4Twe4Wi8a7NlvNkL2rycahk8UG7UPE0D3bvWDqO8UIsEPZkm6rw5GeK7RiOfPKFNILxUlVO8HtRQOqL8Dzya8om8iRLeuOVmpzwaC3o8fv6IPIbrXjzPwKS8WvBpPPuR0brG6v47LH3lPPL1C7wEj7+8UKU0u7xb0TsBWyi8bgQtvGeplrsNLgW9bSv1u37UQDxe4wi8F5PqvAUh/7zixE+8/SYRPdOww7zWG7s7EufDO3h5qjxxKyw9sSpMvG0rdbxJIFa8/WoJvOVJ97zrwb07vXgBu4VmNzsDuQc8dRtLvMVYPztdNJm82tR5O+/ODDzogI48pI7PvEb5Vj0K9+28JSJPvOYiL7ycTek7SS3uvARLxzyeGYk8VuYaPXhskrypZL48qhMuvJ+rSDt1G8u7U7KDPAbghrwcaVm8HIYJvdSjqzwG+ra8mUOaPGyMnTyS2Os66RJOvLO/C7t5/lG7IK0IPLeFYrzeMlm8h7T+u4SN/7vZKIo865f1PG1VvbwAn6A8SLXevEYjHztjxo87UvP7OpryCb3JEX68PGopPC/OrLtTzDO8J6f2POE/qDykZwe7w9OXvBeTajswfRy9fKApu5km6rpj06e8VG4LPak69jsoc5a7h8SWvF+sqLzX10K6q7UFvUUwNz2yEJy8LvX0vGumzTvYT1I8FNhLPIRfCD1TWXU9Cm1GPEPA0DveIjm8ZDD3vPaH9LtOW+O8WaWiO3ZWiz1TWfU7uBWSvNMnjDv/QQw9ZTB3PA2cXLzvitm8EUkbPZUnwzyrbC89fVOmPLfGf70MbM88X0IjvZtkqbzfUka9C/1tuhsUuzx6JBC8uHUsvWkNw7zrawG9RZ+KvM17xDyWV1A84MEnvbgVkrzhsek81Nj5vJhWWbqNW6y9jbtGPYHh3zui8Wu9m5Q2PGPQXDtLnKW8d+ayOaYOgzzkT+G7/XKQvGNAtbq2Fom9OpSfvOubDrzkvzm9RGC2PKOQWrzET5O8AGJbPIp9aT2ZxTo9EUmbvOtrgb1yiIY9sQkwvQ8ahbvakwi9DxqFPKj9zTq65I08ukQovKaP47uB4d+8UfnaPDyE4Tw6hdg8N5aNvPX3zLwC0Ty6+zM8vGTQXLneE3I8Rc8XvfnF0Tvq/B+9Ku0qPazbEL28BN28iuxKve+K2TwTqD6931JGPGNAtTw8AwG9tnYjO077SDxNmy49IvCPu5/yYj2E4Gi8mjScvNu0zrywKnY9tHeauF4zXL0M/HY8fsIHPRQXoLxuSqm9YkA1PIJBej2w2aK8K1yMPUwLhzyGT8q8/cPju2Sgz7tyCee8u3Q1vRzU77zO6qU8MyijvH1DaD3Mu4+74bHpPGFBLD1kcMI8WXUVvb7inz1Vp5C8ht9xPbrkjbskEN+61uZJPaNgTbvvya08IXJnvftzhzydogY6ZW9LvFt0nryQmYk9deepu5Y2Cj1R2Qu85i4bvKrcB73hsem88DiPPO3rarysC568HyILvMAC7zsDQB68YREfPfgFnT1m3qy8/3GZu05bY7wX19Q8VmdFPHpUHTzTJ4y8rqoMPbjVxjupzUC9RGA2vbKonjxkMPe8LVuVvS67L73n/Ra8skgEvKot27zgIcK81lYivGl9Gz1ozu68LkvXu8Wf77yaNJy7U9gUvIOAzrw/Aoq96I2+vD6SMTwJ/mS9/QI4u6Bxgjz2Zi69YzFuPRmm0LzC4DG9EemAvPo0szx2p168aX0bPT1jmzwsHEE7W3QePVs0Uzx0eMg8PCRHvKYuUr1/IiK96U1zPAPgA72Kfem8CA6jObfG/7wlH6a6wAJvPLVGlrzAsZu8SM0pveKQIz0rDfo7/mJSPYuMsLz2NiE9woCXvJ9SfT3+YtI8fyKiO3SoVbzF7gG9i3xyOzlVS7y0yO08lDeBuzNJ6bxcNFO9WXUVvVP447o7AwG87PuouySAt7ybVGs8512xPMeuNjx6Fcm8D3ofvSLhSLwxWSe8py5SvE7agr2TWEc9cxiuPAY/Jz3p/B+8XjPcPNLZcLyxqB66Cf7kvP1ykDw8hGE8WfZ1PTEpGjqEgE48LbsvvKXvfbw89Dk88JmgPE+7/TwPep+6SB79Oz0j0Dty6KC8A2FkPNF5Vjymj+M8N5aNu2yrOr261E+8anykvP4yxTxpfRs7G4QTvVR3Azzrm448i3zyvBCa7jsNnFy8IOI/PS+r8TwJ3Z487WoKvB+CJb2BUbg8f5EDvcvc1Tt5pXC9LaxoPRDauTw5JT49xKDmu2PQ3LxYNkE8ykyuPMKwpDx0VwK935EavIjtQb22prA98IliPATQRTx0Fze8FbcFvbYGSz1wavi7RS8yvFnVL70DEJE8utTPux5SGD2Tlxs8A2FkPB+CpbyE4Gg9rAsePJhW2Tw0WLC7WXWVu4MgND1jMW47eYWhPJrUAT25tIA8B/9bPLXXNL2atfy6dKhVvADSMzuMHNg7A2HkO01rIT1aleQ8WaUivaMwwLs0SHK9YeGRO19ysLuzOMa8S5yluuJgljzIfbK8UMpEPZS4YT0UqL46NZeEu0mdHL1ek3Y87voxPZpV4jpBAZM93iK5O2hNjrzCAfg8HOQtvS+r8buuCic9Rm6GPCrtKroz+BW8vBMkvdFJSTyvOrS8d4aYvPXWhjyty9I8S1xaO5tU6zwkUCq8KV2DPPP4w7v9MkU8T2oqPPelgjvO6qU8ubSAPD6DarzTJwy8zUs3PYfuuLyCkAw56yu2PH2DMzu0yO28E5n3PFU3uDxTOC+9TvtIPO6KWTy7dDU97PuovBKZdz32NiE9NLhKvccOUTwbhBM90LmhunQIcDxNa6G8oWHEuky8dL2dk7889SfaPDGqejyZ1AG8NScsPX1TJjzfYY28UpnAPPqjlL1wCt67Zc9lPOxMfDyqLVu99sbIvK0rbb3hMAm8/jLFvFb37Lv31Y88ntKTPISPlbxDIeK8w6DmvbgVkrw7lB+4n2K7vA/7/zvgsek6rCxkOkbOID0+krG89PdMPHBqeLwjcXC9AKImvPEpyLu45YS7aG7UvHWn3jp/4ta862sBPa6qDD2mDoO8f4I8vcwbKj1/IqK85C8SvQv9bb1ozu48E+gJPXSoVTzC4DE8EUmbvaExNzxXBrS77PuouzNJaTsDYeS8PTMOvSRw+bpmz2U9uGZlPHQXN7wQ+388BEAevUX/JL3Nios8UQkZvLxkdzzFD0i95LByvLVGFjxy6CC95F8fOn2k+Tt15ym8AWLbO6YOg7uSyB89qdyHPZeWJLxBMSA72oRBvYZekTxCkTq7buoOPTPoV7ysy1K9UJq3u/iG/bvV50C9Bd+MO2GS/zz3hv28t8Z/vCmuVr22Bsu8vLMJvfCZIDyeMq487+pzvIFROL1p3bU8QCLZvEg9gr2jkNo8Zd8jvCutX7tyCee8MUrgu6MAMz0JrRG94sCwvLhmZTsKPTk8qG0mvA07y7udkz+9TTsUPVhFCLwz6Fe9xQ/IO4HhX7yxKX+7R/4tvGVvy7obFLu83sIePOdO6jqjkFo8ebUuvfnFUbxyiIa8fCOZuzllibxqzfe7m1TrvG+qQztYRYi8tWdcu1rUuLtxavi8eCUHvYKQjDsx+Qw8PAMBPTFKYDyjYE29sHmIPB2zqTtNOxS994b9vNiFuLwKXv+72XV6vAVgbTw9M448HxLNu/Un2jy8BN08NfcePco957w1SPK78SnIvK4Kpzxqbd28V/fsvBtUBj0qHbi8g0H6PFukq7vw+Tq8UvlaupQY/LuFT0o827ROu5M3AbpwqsO8hODouxe2jrxqzfc8vATdvBKpNTspjRC6q8xJPBe2Dr0cdFU9qD2ZPAn+ZD2aNBw9YLEEPNCJFL3nTuo83WIEPE+7fb0btKC8PYThOmhNDr1Enwq6EjndPF4z3Lz+MsW8wuAxvBnlpDyuOjS84CHCvNyDyrwvWp67vBMkPT8yFz1yCWe8mAWGu+GxaTuoPRm8Bd+MvFrUODwInsq7eEbNO9LZcLxk0Ny7L/qDPMYeDz2obaY8xU4cPboUG7x/kYM9dHjIO5tUazxRWuy8zUs3vHRXgjsTOV07jhvhvLVGFjyOyg29z0pAPK+aTrzkj6w7ksgfvVtEEbzHnvg8Ca0RvUa/2byPKqi8/mLSPNRXGT0JfYS8sGnKPHBq+LufMi690ogdvH7ylLwqrV+83sIePEExILwA0jM8ANIzvDz0Ob2SWMe674rZvGhuVDyOG+G8f+LWPKHQpb1bpCs9j3v7PEheyLyUGPy8N+dgPDdWwjph4RG9oPJiPJ4CIT0fEk28IuHIvEKRuruGf1e8LYuivN7CHr1Nm648ILIyvP9BjDyeYju8x97DOweuiLznTuo8FtfUuu4qP7wa5aS7PZOouGwbE72kPwe8zUs3vbKoHrsq7ao7BNDFO7zjlryTl5s7QiFiOpZXUDuWJsw7LKzoO5ZXUDyYtnM8Rx/0uxKZ9zkSOV08oFL9O817xLy1x/Y8uBWSvACiJj2mzje8uEWfPLJ4ETr3pYI86F0xvE07FL3ksHK8smhTvGitqLvHrra8rittOkMAnDyk8PQ8A0AePNEogzzTGMW8sslkO/0COLs2Vzk8xD9VO57SEzzziGu8MUrgO7zjFrq/olQ9iF2aPBMJ0LylL8m7r5pOPFw007xM/L88oWHEO3wjGTw9Yxu9VzbBvBR4MTyo/U28XxKWu16T9jpb1Di9UslNPHyDs7yuCic9TPy/vJq1/DtGboY7ubSAPHu0N70Wp8c81/WQPIpco7vZdfq7dFeCPAFBlTxAwr48jBzYPMqsyDtIzSk8xH+gO1I4rzovWp68NScsPCSwxDtKveu8507qvCtcjLzIrT881iaVvLDK2zv9cpC8U5hJvOVP4TwNSwm9Z66fvP4j/jyjbxS92cSMvNJ437wA0rO9WKUiPCCysjyOe/s7hIBOvN5hDby0yO08jFssPADSMz1a1Li8CD6wvC5L17uxOb07AxARPJdW2TvljjU95i4bvPsk9bwe47a7N8YavSlNRbwadUy8Sb5iPO1qir1bdB483POivLSnpzywOb28Trt9vJS4YTujkNo7C6yaPEGC87sXhoG9fUPoPPE4D7vpzBK7KlwMO2NAtTyOyo28AqEvPZn1R73dYgS9tNe0PNG4KjyB4V+8F9fUO1v1/jxVpxA8xH+gO/iGfTxEL7I8wLGbvJ9iu7y+goU8LhtKPKKgmLzjvzm8S8wyvOZeKLviYJa7r2rBu+ntWLzQiZQ8ebWuuqDRHDw4hk+8TtoCPbM4Rr3KTK48d7YlvBR4sTyyqJ68rcvSu+5aTDz7o5S8aM5uPLE5vTpmToW8gyA0vEX/JDx2p165kfkjuxW3hbv4lcQ80UlJuzqUnzxY1a+7oHGCOwMByjy+shI9w6BmvNqEQTuOyo28Zk4FveQvEry/UQE8qi1bOiFyZ7xoblS9dAhwvHvkxLuoPZk8jbtGvARAnjorXAw9KE48PYr8iL0LrJq8NIg9vCLwDzzcs1c8XUMaPfP4Qzwnjoe81lYiPRd2wzyvKna5iX3pu0RgNjytK228AdG8vCqt37sfEs07mpS2vFVY/rx3FkC8ExiXPGxs5jtbBMa8jBxYPS0rCD0Peh+9k/isvLAqdjwLrBq9zrqYvJnFOrw1l4S8aX2bumgdAbzQiRS8WEWIPOXOgDwYdkO9mgQPvWpt3bysy1I93MMVvQMQkbzU9gc8QQETvdcW17yG33G8dxbAvJ2TP7yySIS8PAOBPaKgmLyFv6I82RVgPTwkx7wJXn85FeeSuwMQET3j/4S8T2qqu6Y+kLup/c08t8Z/vJ1jsjyhYcQ7kJkJPfLp/DwPCkc9PwIKPMzbXjssTE68GBapO9C5obx0F7c8lzWTPKmN9TsqHbi5gMEQvA+bZTzhIcI7Rm6GvUMwqTyHfmA8d7alPF0DTz3L3NU6U9iUPGl9m7xQOaY8zUu3PNqEwbwqXAy8onCLvAoNLDynLlI58/hDPL9RgbyGLgS9UJo3PG4L1by4pbk8CK0RO1l1FTwpTcW8aK0ovFFabLxyuBM9d7alvIwc2DtQ2Yu9sngROy/6A7y8swm9XaM0PK6qDDyOG+G7EhgXO7R3Gjw/Aoq8XDTTvPOI67y8QzE9hk/KvCpNRTv0J1q7Rh90PN1TPTuLKx+8dafeu/zTITxek3Y8qD2ZujqUnzzFn288mtQBPelN8zzl/o27j3t7PMrsEzzhMAk827TOOf7C7DpVl9K8NvYnPIgtDT2n/sS7t8Z/vLrUTzu7ZPc8Zm9LPYbfcTyPe3u83sKeOx101TzMGyo6QQETPWUw97sY1t07O2SSPDwDAb2uqow8DduwPLtk97xDwNC8yB2YPCCysrsGP6e864zHvFD60Tuvyts8XTNcPN8xAD39Y8k8hn9XvU7agjs1SPK8cAreOxU45rsuS9e8hO8vPEaPTLzHfbK7GNbdO4+6TzthQSy999UPvLJ4EbxRCRm90hjFOz4jUDxYZk68B//bvA8KxzxNO5Q8B64IPUEBk7rCgJe8fuPNu2wbE73U2Hk8lfe1u+1bQ70Nq6O6c6jVPMNAzDx3VRS9v+GoPDs0hTy4RZ878OrzvG1LoDrdYgQ8uEUfPE7aAr00uMq8dlYLPQUA07sjwIK8H3NeO2PQ3Dw5lRY9NmaAvMusSL3l/o27SmwYPRI53TsPShI9A8H+vEExoDyfMi69DZzcO/vE2rz3pYK7sQkwPRFJm7wvq/E8d6bnPJFZPrxVl9I8hk9Ku1kFvbwYNvg7pf+7PGgdgT1Bkbq8jMsEO/zTIT0CwvU8ZTB3PL9COj00iD0878mtPL2jyzpAwr68sKmVvEWfijxqfCQ83vIrvBoVMjwSeSi7VHeDvIDBkLzPWYc7dKjVu9fFA710eMi8FzdvPDs0hbqaNJy8CA6jO5gFhjwmf0A9kYnLu5P4LD0ddNU71iYVPTllCTzak4i8tkYWvWDSyjzp7di7v6JUu4TvL7xBgvO8g/AmuZ5iOzz2NiE8skgEvCqtX7xELzK9eiSQvHSHjzzLi4K8XjNcu3SoVTw7xKw7fUPovCiuVjyzyG28c4ePul8yZT24ZmU43POiumHhkbskgDe8ykwuPCfuobyYZSA9iysfu/KYqbzhsek7Q9AOPQgOI7ySaIW7EPt/vGKwDb2alLY85f4NPUz8P7xNayG9PoPqO0AiWTxyCec7YoCAPJhloDsS2UK8O+VyvC/6A71va++7GnXMvNe2vLwPGgW8Y6BPPCUQXzyMfPK5A+CDPAVgbTwhcue8SM2pPMFxUDy8EyS9Tss7O3C5ijv3pQI9OSU+PK6qjLsYRrY8DPz2PHIJ57w3R/s7FbcFuyKBrrwUqD48y3y7Oy67r7w6hdi8LRvKvD1jm7vm7k+7WKUiPIDBED3gwac84/C9vEAiWTzGHo88K4yZPKrcBz24ZuU8HhNEPfP4Qzy+csc8O8QsvPc1qjz1h/S6cgnnOzRYsDtb9X48mcU6PKOQ2rwaRb88b2vvPO/qczxKXVG9+cXRvNl1+rwhUSE864xHOU77yDypnTM83hNyvTwzDjsh8Qa9PwKKuw9Kkrt7RF89bOsFvbtk9zxOu328Trt9O0sszTxPaiq9hIBOvJ4CIbxzqNW6v6LUuweeyrw5ZYm8ac7uu4z7ETvkXx89rdqZOxFJG717RF898Opzup7SEzuIfuC8gMGQPBFJG719pPk7NIg9unemZzxw2lA7vGR3vAud0ztKbBi9zTt5PFamGbzQuSG9/mLSPOP/BD0YFim83xJ7PBmFCr1B0QW8h35gvJDJlrouS1e6QjApPTH5DLzDH4Y8HrMpvUMAHLuvOrS7DxqFu7ZnXLzkT+E7Bd8MPez7qLwPeh88Y+CavJzDTLvwKUi9i4wwPJ7zWbgtK4i8W6SrPBEZDj08M447xO6Bu6ExN73RKAM82XX6PHW3HDzfUsY7xt5DO3C5irw3xpq8rQonPFT447tEYLY7o5BavDZmgLs39qc8Y+AaPBA6VLw2R3s88Pm6PIp9abuQGmq7zLsPvEPQDrxEYLY8Rc8XPJdW2btQmjc9VnaMu9f1ELxLnCW94SHCuyKxuzzljjW9cuggvXpF1jwTCdA6Jw9ovIBCcbwi8A+9z9pnPEpd0bs+Mpe8f7LJvAwMNTzzxz+8Y3DCO0SQQ7w9kyi9qtyHvHdVlLwnHq88tAfCuvhlt7r5xdG832GNPHPooLqpzcA74yDLPCwcQbxcNNO7Q4F8vGKAAD0k75g6H9N4PBzU7zwn7iG87sqkO20LVTyQmQm8+yT1PBQXILw29ie89ibjO72jS7xs6wU5RJ8KvAg+MDzCgJe8GNZdvMp8OzycM6W71+bJu56iBj0zKKM7YzHuvIBC8bxAItm8XtNBPSTvGL0fgiW8xQ9IPIr8iDzti9A86e3YO896zbzmTmq8QsHHvE4KEL2DUEG8WEUIPH9Srztqbd07thYJvGR/ibxyGC68Zc9lvHnlOzzfMQA9KE68uztkkj3g8TS9f5GDvL4SLbxcE427aqwxvf6inTw75XK8OZUWPZ6ihrz6lM08Zk4FvRPoCTumDgO8ISGUOxQXoLz41Ji8vLMJvQACQTyqPKK8EZruPC+r8TuZBA+8Q4F8vO2LUDvWJhU6QTEgupq1/Duty9K7ETrUuwqsGryyeJE8zLuPPBu0oDsAYts82SQnvCd+STxw6Zc8cuggPB6zqbyC4V87zdteOh0TRDvNe8Q7O8SsO3hVlLjS2XC81Xfouky8dLtsqzq9zboYPHr0grsPep+8z9pnPZo0HLzOO/m8TTuUPP1yELx/grw7tcf2vI76Gj13tqW79QaUvJtUazzjIMs7D4mMOvnpwDzmF149D7zsPDagxLvhqBC9LYZOvQt8Eby+83O9O8uRO5JxXD1RjB28D4mMvCH9CrymYRE9WUj4PCKOzzqX/vu7I6whPSfb3Dx8nzA9jAKPOtXBMb2HV507r8w5vRmF+bxesw69ru55PDz6Az3KGuW8iiQGvWRvoLyfR2S7+kelO52HrTwWRZ48oDbEvFbZqjq0SLk7R2X1vNBFMrv56cC9NaBEPaP2+jwX1mK9LTWcvPDg6jpm3qQ8usQ4vGWeEjyULSU7tdn9uzvcMTyNk1O9rV21vFK7j7zG/Em9A8RtuhfFQroDs827gzmCPBj0ND0CMyk9ecGnvLXZfb37hzc9vDO9vNRBjTtT+yG8NIJyu7f3zzu9Yi89/0MAvaeQg7xsq1a9HfCPPEBYsTyvHew8YOJJvIAO/rzcbKM7QHrxO35sGbwWRZ48DKuDvQHzFjx+jtm8oEdkPUPlB722ph28Or5fva57hzqgNkS9qT8aPbRZ2Ty8Ip29r7uZPCaKqrspF4E8RCWavH5OxzyJhli8AfOWuh5fFL1m3iQ9ebCHOmRvILw24NY7KPmuPPylibz3KQq+Zs0EPQqAfz0Zo8u8voABPca8NzzPVlK9dhIRvPylCbze7Ee8NOANvdCFxLsupKA8vwCmu8sJRT0/2Ay96zGLPe3gIbwDYpu7uVU0vHA4dj18MPU6hheLPbYI8Ln3y268Bi8EPeAK47s3Pjs7anzkvNL0SDxcVaq6Z15JvF1V87ynMug8EUnDPIvkPDzCAO+7iYZYvPULOL3Ha068r0xeOxPJ57vhylA8eSN6OzMgIL2/QDi89JwzPaPUuj0DkQ28T92GPBd0EDyjw5o8cmfoPAjvOjslfXg87II9PZ+2nzx0dBq99px8vSbbXDzQtDa7c5ZavcV8Jb2Avcs8SvLLvASRjbz7RyW7/fa7vCDOmDwewWa99ykKPD/pLL1/LAc8wp6cvHJnaL1L0Iu9ac3NO84nYDwdH4K8GlKZu0VUjDzFjcW8jxN4PVXIirxHlGe9sXvQvP+2cjwPiYy8oXZWPSuGhT3KGuU7MKRpPSxofDwFABI9vvNzvJVP5byKRsa7R/ICPcDRfL0AhJK8tIjLO5CxJb16Uuw8T90GPe8+hjvKybK8aJ5bvaJltjxzlto8j3ETPThg+7w+ujo9ueZ4O0fygj3MZ6k781whPS5kjrw8i8i8yXiAPNRSrbzPVlI9nsc/vEF2A72OU0G9N/4ovb6AAb3O+O07iLUBPKYDdrwIAFs8LJfuPDbg1jwDc7u8nVi7vL9AuLuScVy8qX+sOj7LWr13o9U8rQwDPY0TLz2kg1G8gSzQPC51Ljt9ziK9ueZ4ux/fuDwpivO7HcHmPE3QVDwTuMc6DTxIvHqBXrwqV5O7F8XCuZ92DT0D81+80vTIPPB+GDz9JS68NbHkPDvcsTxMkEI8UH/rO274Gr0KXr87PvpMvUGYQz3bWwM8c5ZauwZApDzMyXs8GuPdvCz1iTvvT6a8VVmGPR5flDxTXfQ8uBUiPD7L2rw5rT88QUeRvGWvsjv9Ja68B9HoPELHNT0Y9DQ9Zt4ku2Iz/LyxqkI8lA9TPAEV1zzzixO9yRrlOpBC6rz42KA9Is5hvO9gxrnscZ271hLkvDUPgD1VmZi7rN0QvOL5QrxfIhM8O8sRvXM0CD0fjga9gmxiOz9pUbyBPXA9daOMvLfVjz1zxcy7a5q2OlRqpjwZNEc8dMXMPIZ5XTwMqwM8Wya4OrLZtL1dVXO8CR4tvXmwBzrAUdi7A2KbPOGoED0OWpo7Z2/pvIMb+bt2dGO9C3yRvJAT+LsLvCM78b4qvLFqsLvHa868yXiAPaQlbT0tRjw8axqSvCLO4bxsmjY9CO86PGt85LtVWYY9zMl7PO7PgTsk2xM99Qs4vdS0fzv0nLM88M9KPItkmLuaC/e6DY36vO4PlDwdQcK8qeH+vCabyjw9Opa8SMNZO9xbgzzltYu8l4uJOyjoDrwGonY8JnkKOw4rKLsGLwQ9rD/jO78iZjttK/u7oOWRPaghyLyqbgw6oRQEPbYI8DtUKpS81jA2PcvnhDyaaRK9c7QsvPH+vDxcRAo9wO8Fvc7FjT3zvnM9p5ADvaKUqDynkAM9qpBMvLpzhjyy+/S81EGNu0yhYr2rrh49jWThPFymXDvzHI+89RxYO81WiTyqEHG9A7PNPFVZhr3YXyg8jNMcPAHzljw8CyS9I71BvddB1ryaKQC8DhoIvZZtt7sFEbI8mikAPWIRvLwpivO8PPoDvnyfML3qwoY7oSUkveYX3jsHgLY8e3A+O2RvID0lffi8Nz47PIEsULw+qRq9YmLuu339lLtzllq8LmQOvcrnhDu2ph28VCqUPMT8ADxxxYO76ZMUvJacqTyQIKq6IA6rvC2GTr26FWs96ZOUPMHR/LoCREk9v++Fvf+2crwHwMi3lK2AvJT+Mjs3zza9+ql3vYHsvTxPf+s8k89AvCqXpbygNkQ9m+m2vF7zIL1clbw870+mvN0s2jz/tnK9fI4QvZxpWzsfzhi9qf+HvNXjcTt838K7kEJqPMPNDrx1NNE85IYZPblEFDz1Czg8kA+KvZu6xDzNpzs7IA4rPZxpW7xq/D+9elJsvA08SDt3QYO9rx3suyKsoTwL3uM6X4RlPHyfML3fOQy8Iv3TuyZKGDzbzvU7Qlh6vPJLAb22ph0910FWvAURsrxes448VmrvvPiYDrxQTIs7Y0AuPdjB+jwPvOy8Tx0ZvULHtTvb/Z48LTUcOhSWh7yiVBa9mNy7PBgFVbzBb6q852SiPBwSUDzV43G7pwP2O8mJIDwgzpi8MUKXPMBRWDxSXXQ9E6cnvT9Lf7znxvQ6Zs2EuolX5jtcply8mgt3u9hfqDz8dhe8Ca9xvPLtHLz9B9y83ZsVvA+rzLtdBEE88H4YPW0r+7sFona9tdn9u6ruMLzcbCO8WaYTvV1V87s8+oO8KWgzvAkeLTwk2xM97II9u5QP0zzMZ6k8CoB/Pfec/LtRjJ07ZF4AvcoaZTqMk4q8KajFvI+CMz3uILS8NQ8APdq9DL17gd46C83DO6ZhkbwdMKK8TX+iO8HRfDxrGpK8QGlRO/ZpnLusP+M81fCju5S+oDpG1LC84NtwPN7bp7wupCA9VVmGPBTWGT3FDeo8877zO4YXC73bTtE8CADbuc9WUr1BdgO7z0UyvF+E5bxyBRa6B9HoPBaW0Lz7x0m8GOOUvNM0WzxT6oE8wg0hPA5aGr0lGya8+enAPIiGDz0Wp3C8fJ8wPAuNMbsKDQ28yevyvF8ikzz13MW68b4qPCH9ijv82Gk6H/BYPGWekjzN1q08nRgpPDltLTy0WVk9NOANPKKUKLv5xwC9WIhBPGIAnDwReDW8z1bSvNIjuzrzS4E8pqEjPDltLbz3nHy7vCIdvZ1Yu7y/wBM9WWYBvZZ+17zw4Gq8AUTJPG0r+zsGQKQ7eCN6PKElJLzYTgi9UruPvCH9CjwrF8q8KajFvOHK0LwInog7elLsvJppEr1CxzU84Arju5jcOzxmHje8tXerPElyp71H8gI98I84PY5CobzbTlG9+0clPbnm+Drlxiu9wg0hPI2TUz3cfUM8JnkKvUQlmryfGHK8pgP2vD9L/7xMUDA8MnGJPP+2cjypUDq86hO5PG1a7bwz8S097z6GvBk0R7wQ6147Ip9vPGIz/Ly9okE8cpbavVdIr7s9nOi6hfm4vOI5Vbnt4CE8aI27vJ8YcrzbTtE8NbFkPNIF6Ts5bS07FOe5OyRbODnPVlI7GmO5PNv9nrxJw1k9FNaZvHIWtjyScVy7E7hHOn8sh7yXrUk9rC5DPNYBxLwhfS+8bgk7u6jQlbyM0xy8YLPXuw+rTLtZSPg8ebCHOfCPuDzt4KG8viLmOZVPZbx3QYM7fQ41u/628jviKDW8qW6Mu4o1JrxwuFE9OI9tO9Xj8by5RJS793q8PJVPZbyqEPE8Ul30u7gVIjy1Nxm9ImwPvSZKmDzXH5a88H4YvJjcuzyIKPS8QBgfvJO+oLsBlXs8pPKMvNUBRDx3UiM8RCWaO0lhB723N+I8MsI7PPScs7xCtpU8E2eVOwJESTzl10s8ifUTPQKVezsLvCM8nRipvPPtZby74oq8IM4YvB+OBjpMoWK8iLWBvFdILzof8Ng8anzkvHpSbDz95Zu8FXj+vCmK8zxpvC29WHehvA+87DwgcH28+SnTvKgyaLyTz8C9qeF+Oyz1CT0utcA8F3SQvFJddDvQNBI91zC2PB/w2DwlWzi9Ns+2u7gVIrxjwFI8H5+mu6lh2jzV4/E8QXYDu/lYxTqyiII7fc6ivMb8STmWXJc8yrgSuzycaL0Iryi84Kx+u0lhBzzKuJK8RtSwvImGWDwin2+5rD9jPIA9cLwycQm9YLPXPPNLgbzVAUS8ln5XujvLkTwVRR665OjrPHA4dr2gR+S8qX8sPOI51TvFjcW8le2SO94sWj2GFws8K8YXvImG2DubusQ8LvXSvBNnFb1kkeA8RDa6POoCmbyvHey8/KUJvAaidrzZ38y8xXylPB3wD70v0xI76fVmu1g3jzw2j6S72PBsPBAaUb2vOz68QBifvF4EwTzVEmS8yFouvIzTHDt6Umy8H/DYulpIeLu2Zgu9ckWoO0GYwzy5hKY76kKrvEfygrwR+JA8wFFYPNffAz2dGCm8hhcLvPx2lzvA7wU9Ou3RuzWxZLwTZ5W8t2bUvFW7WLfyPs88qxBxvOsxC72aOiC9P0v/vO3xwbvEXlM8jRMvvN3KBzypULo8mBzOPJ1pW71Edsy8svv0O1nIUzzMJ5c7svv0PKu/PjxENrq8Ua7dPE1uAj3zixM87II9vFxECrwz8S05e3A+vFyEnLzO+O27V2rvuyq55by/L5g7xY3FPBq06zuai9K6e7BQPe7PAT33aRy9vpEhvGcNl7sA5uS87z4Gva7u+buxqkI8MaRpOBuBizuBPfA7875zPH6O2TxTXfS8HfAPvYHbnbx9ziI9/1Qgvc3WrbyDOYI8FqfwvJzYlrzHa868o/Z6vKTyDL1t2ki8uhVrPWiNO70DxO08ZG8gPbc34rx4gRW9XrOOvN395zx0dBq9gA7+vIi1Abwh/Qo8GmO5vHJFKDqB2527uGZUPddwSDxB2NU821sDPKn/B7yFeV27opSoO1cIHTw5XI08fN9CO/H+PDxhkRc77HGdO5/p/zzhylA8e3A+vTZ+hDtx1qO7iAa0PEQlGj1G5dC7k8/APDFCF71MkEI8jSRPPFY7/bu8Ih282/2evIaoT7yPgjM8cJaROuc1MLumcjG8AiIJu7DqC70Ulgc9bdrIPEQlmjy0CKe8wp4cvCmoRbwkLMY8zwWgvOO5+TzWEuS8jlNBu1ymXLwZNEe8T39rPMMNobu/Iua7C3wRO82WmztyBRY8XYQcvTjtCL2kJe08zGcpvLL79LsA1UQ8SXInO0/uprwecLQ6BPNfuwUAkjxIsrk7LZfuOsx4STwk7LM8KDnBPMDR/DyMBv248+1lPBT42TtfMzM8ApV7OuXGK7zvsfi8uUQUPM4nYD1tWm28YaI3vIlX5jsQCTG8FwVVPfcpCjwBRMm877H4u4ZoPTyZS0C8GSMnPf+UMrukAy28HR8CPbYI8LybC/c8FSdMPFPqgbz4qS69uBWiPF3zoLoGona7RwMjvVtmyrzi+UI8nun/O/b6Fz1C5Qc8VggdvaP2+jsQ2j67zae7PGGiNzt8n7C8jGRhPD7LWrzc/Wc6tzdiOzMCTryilKi8rUyVvHofjLtojTu8K9e3O7PZNDxsK/s6ZJHgvANzuzxBhyM89kvKPKwuwzyMkwq8wFHYu8FvqrxPUHk8knFcvCUKBr1fIpM84vnCPEgylTzNyfu8rB2jPLb3TzxJw9m6RzIVvPXcxTw5bS08DhqIvMKenLyqEPG8MVO3PHBnnzyCbOK87g8UO+tCKz1PUPk8xby3vHVF8byFSus6rN2QPDbg1jxwp7E8B9HovIEsUDzrpP288I84u2dNKbwmSpi8xqsXPUdDNbtPf+s8zudNPGLACbycKck8ZG+guxP4WbyyWRC8NIJyu49xkz2dGKm8XrOOuxj0ND01seQ8/HaXOmWeEj3VEuQ7jjEBPCfb3DxdhBy9wFHYOXCnsTz5x4C8N76WvDVPErv0HNi8CJ4IvDQgILwLzcM7Dmu6vPylCbw0gnK8prJDvMnaUrztAmK8HnA0PC01HDtPf2s9iYZYvFg3Dz3X34M8d0EDPdFjhDwqueW7eLCHvAPivzwYo4K8Z29pvK1MlTuXrcm81eNxPNFjhDuTz0C7e7BQu0JY+jtPf+u8JzlBvJCghTuTviC8VZmYPAve4zr6qXe8VCqUvNcflrtAKb+83uxHvN85jD31HFi8czQIvHuOEDykMh+8RVSMO+dkorwwpOk8ydpSvLDqC7z1ugU8hUrrPMganDuEqIa845c5vIS5Jr2ymSI9SDIVPT16qLyR4Be95fWdu6lh2ju094Y7rx1sPBkShzwOWho6rQyDO5CxJb0JHq28TFCwu17iAL0vkwC7PWkIPULHtTyuncc8iiSGu8pJVzzdrLW8HAGwPOTXyzmEuSa9JpvKO0qhGTzyLS89Cg0NPOOXObzzvvM7/7ZyPAZRxLzzSwG8diMxvXqB3rx1Fn883sqHu3TFzLzEXtO8Is7hu/XLpbudBwk6mMsburgmwjxcptw8mimAuzmPbbwenyY8KPmuPM9WUju5hKY8Z00pPDgtmzwqVxM9OGD7O10EwTvXQVa8yImgOq57Bzzi14I70gVpvMharrwv5LI8KPmuPA4rqLykJe28A8TtvC/Tkrxnb+m7pmERPIgodDtmzYQ8JptKve4PFDxEJRq9g8rGuw6NejuAvcs8eIEVvTqcnzwo6I67+SlTOkvQCzxN0NS8AbMEvADVxDsj7DO8bKvWOs347bwh/Yq7C40xu7KIgjpEJRo9glvCOx0fAr0jvcE8Vxm9vNIFabyfdg29mUvAPH49J73fSiw8LIbOO82WmzwpaDM8g7kmvC/ksjvI63K9OGD7PI7Cxbxonlu94NvwPC7G4DycOmm8FwXVPAmv8by2ph076zGLvLYI8Lw4YHs8/NjpPLMqZ7rWEuQ8BqL2vL/AE7z8pYk7inU4vLcEAr3uMdQ8PZzoPMnaUrwvdXc87eAhvYYoqzwL3uO8e4HeOq0MA7xzNAi7W5U8PH1f5zy4JkI8UEyLOwai9rxsSQS8BlHEPHR0mjsOjfq7EOveu3dSI7yArKu76hO5PIjXQTwWp/A7iLUBvV9iJbzE/AA8mimAPMfaibyqfyy6A7NNPDq+3zpgUQU8/2XAun8sBzuHV508mzrpuvcpirw8bXY9BRGyu3Dnw7qp/we9gkqiPEshvjzGK7y8IM6YvDz6Az2OcZO72h9fvOdkoryI10G9UrsPPEQlGrxm3qS8pmERvDRgMj1Dh+w59boFvIOb1Lv7NgW9A8RtvO2xr7yMZGE8FkWePMvnBL2pYdq8n3YNPJsLd7yJhtg7oOURPZeLCb23N+K5elLsuzLT2zwxk0m8ccUDutF0pDzd/We8p5ADOoJbwjxHFEO8d0EDPYxkYTsb0r28/5SyOsq4krzpk5S7ApX7uaF21juOk1O8Wkj4u+RGhzy/EUa8h1cdvKD2MT0WltA5kmC8vNxbA737NgW9YHNFPYHbHb3vsfi8bcmou9395zyLtUo8LJduvMv4pLyqf6y81EENve/PyrwbgYs8Iv3TOxaW0Dy4BAK7ZG+gvBpSGTss9Ym7C95jvCZKmDwtNRw9LvXSvNdOiD26Feu81cGxvHgjejysP+O7Ou3RvDQgoLvkhhm9ZJHgPP9UILvtAuI82Z+6vHzfQryJ9RO8tzfiuTQxQLwEkY28g5tUvKwdI7pUjGY7BqL2PMBRWDyX/vu7u+KKvK8MTDw+qZq8T90Guu6xeDwqueW79ktKvBV4fjyRIKo8gSzQO8IA77zkVyc8+KkuvOn15jt1o4w8Y8BSvEsQHjopuWU8Ze9EPF3zoLt9X+c7/QfcO/628juiVJa8MAKFu2Jibjyg5RG9xE2zO8h4ALyoMmg7ZF4APXzfQjzrpP28f47Zuz6pmjwxcYk6LGj8vAoNDT3t4KE7JX14vJn6jbu/Eca6V5RXPLXPiztYgkE90lYXPYVCD7x7xOW8R2o6vZdYuLx45SC99nu8vPpI6zycDoK8XylmvME1hTp1FDY9d/kUPVpyCbtj9YE7hyWQPJGi7jw5GpM9edyVu5wOAr3mWMy6D0ECvWP4crzqHs68u4EZPXjszTvAOtS8q1PAvMQLv7xWpm26u33dO/OlAj2K/wU9qH2GvIYuGzwnAgw94ZLKvKWfVDx397a9rEEqPc6M2TwNUxi9xvdKvZhNz7pj86M8gIM6u1POVTykseq7cFASvT7XiTzQcxa9AP80u2TxRbwtvSS9ri8UvL1rx7vMp3q8f4pnPIkGMz210vw8HI9LvGbWJL1R4Os8DF6BvGmwmjyFOYS8d/mUPFambTzkamI8bmnVvGmwmrsYwhy9RIe5OgPZqjzys9w8PtWrvL5V9byTgCC7O/u1PMutlDp+mYw7XjgLveKJvzwMZww9H2KUPf8JnrwQNLu6iBonvVPFSrwswvO8GMsnPTv9Ez3YCoO9n/ECPUKkuDvEEuw8gW9GvNUwDT0sxi+9svUVPAeoN72/Tkg9hx/2O9Uqc7uK+8m7MJW8PPWPsLy8eA6+WILBuoNWgz3w0rm70WRxPORqYjxcVQq9Ft8bvT/MoLtgF9A7dQ0JvedCejwIlMO7odIlPFeU1zt39di8tNgWPY+4QDuSkjY8xQBWvNBxOD25nLq8ER5pPall1rzu5M+80V8iPbx00ryaLnK8LbI7vYYsvTuGLhs8XFFOvN+xp7y0zws9bIqQPKWaBTwboeG6/SS/OiYWAL1bXpU7nvqNPAH4Bzyy+mQ8bm2RvIzihr1HY428xQI0PT/Kwj0Im/C8svHZO6LHPD2h2VI9MJW8PG5pVbxfK8S8riaJPVLZvjxFfFC94oA0vc6FrDy9ZBq7T/ibvUo7pbzLth892fQwvdvimrxBts66KPcivb1rRzyYTU+9UtAzvB52CL2dCka8YCBbvGqaSL1HZn69xQQSvBMFpjq4qQE7Xy8AvI7FBz2EUke9abCaPYJif7sW3xu9DVwjvatMkzx2/uO8tdL8PGTmXD1WnWK8yr1MPeoeTrtLMpo8vlmxu3I8Hr0KewA89oJpPalwP728bwO9Lb2kOyrYRb1Wn8A8odBHPT+/WTwo8+a7LMiNvbPozjzUORg9EDS7OweqFb2VdTc9vG+Du+g5bz1EkqI7V48IPS20GTyg2zA8K8t+PEhaAr1Vr3g9j7jAO6LHPLzlYde8TCP1vKaPnLtP+Bu89ZGOucfh+Ls+1as8Dz3GPPw21TvPekM8wTUFvICFmLy7dFI8DVMYvLuGaL22xgA9B6EKPVtj5DwhVU28t7sXPZk7ubxOCjK9/SYdvHIzk7xYjaq8oNuwupdYOLkefTU8W2egvHfwibwhTqC8FuimO5k3fTyRqAi9CnkiPYkRnLthDkW7ri02PX6gOTyFQg+73rOFvLL1Fb2Tiwk8UtscvXb+Yz2YRiK7po2+O0wnMbwIm/A7o7eEvLPsCj0nCbm8vGtHPYNZ9DzH3oc8Gqrsu9+xJ73dzMg886UCvCQvQzxj+PK8H3BuPeZYzDxZdfo8qH2GO5hERLt8tC27AfapOivLfjx6zXC8vlX1vEOUAL2DVKU9/h2SPGfEjjzpMGS8W2VCvJwOgj1xQe08NUkovFHkJzybIBg8mxWvO7PfwzxcUU68YBsMvDNoBTw/yGQ9qWXWvOknWT0aqmy843z4O5sl5zyuJKs8nQwkPfK1OrxVrIe8QbisPMjTnr3fpr68L6IDvWyBBTu1yXE6NVSRPAek+zzBMyc8SzC8vI/ByzunhDO9odBHu/OujbtfMvG7BMeUvJ70cztZcKu7cUUpPdUnAj2junW7lHeVPMjYbbxBr6E8kaiIPJwTUTsedog9PtUrPXIzk7y02BY9M2RJvfKz3DqvGyA9K9EYO3FHBz0KgE+8HJhWvesOljzczqa8dRQ2va8iTTz6Ufa7g1l0OxulHbxR4Ou76iCsumTvZ7zKvyo8xu4/uzz5V7zv3SI90V+iPN+t6zwjNnC8TRpqPUhagryx/qA8eOxNPD7glDzc1VO8SkJSPVtlQjwefxO91EBFvfOq0TxJS1086SdZvUWFWz0kL0M9n+8kvZKStjxfKWY80HMWvGyIsjwNWkW8vHRSO+N5h70X1hA9svHZPG5kBrxDm628hx/2OrAMezxouSW9CYlaOwmNlr1dSqG74ZLKOrmcurvYCoO96DQgvbPsirwusN28H2IUvYcf9rxIVGg8aLsDPY3Vv7yER968gIO6vZ/r6LwEzGO8s+qsvE0Tvbkaquw7MI6Pu0V8UD17xsO8Y/MjPL9SBLqFQo+8z3pDvEZ3Absrz7o66SdZvFad4rvMpAm8qW7hPIkNYLv5YBu8tOGhvPaGpTsW35s8dB8fvcIqHL1YgkE9a5MbPD/KwrvrDhY96iKKvXf12LtNEV86Vp/AvIU5hDzs//C8XFWKvYVCDz3qIoo8LrBdPPZ9mrzI2G09Q5fxvHvGQ73iix08d/VYvL5bDzsHoYq9aL70vJslZzstu8a8tdL8uuN3KTwjOqy8a5G9O9zQhLyOzhI8uKkBPez/cDmuJok88b5FvWyEdjzKvcw83NCEPAaoN7yFPtO8EwxTvMMJYbzkZZO91EBFPJk3fTwq46481xMOvEdmfr0RIMe8AP3WPGx/pzwOPUa8G6UdvLmeGL0HqhU9edwVPF8y8bz1i3Q7sQmKvM96wzvWJSQ7osc8PKWf1DyQq/m8zoWsvNQzfjyCYv88LbtGvKHQxzvTQiO9YgH+O0swPLxiAf689KHGPGuTmzvPg867MYh1vCzCczxNE728A975uw5P3Ds88Ew9cUFtva4mibxabG+83M6mvF44Czwp6tu8xfkovBm3MzwU+rw7SFqCu+wDrTucE9G8YBfQuwPbiLzNkJU8Hnl5PBXqhLszbVS9O/s1vPHAo7w4Lge8kpDYvAH2KbvPesO7v0xquyFZCTy/Rxs9D0GCvNUz/jzJyLU8tdL8PDgqy7wFw1i8upOvvICFmDzZ9o68appIvbH+ID3Jz2K8i+uRvCzC87wTDjE8tM8LPdrrpbz3cFO8790ivFxVCjsRJAO9xBJsOxAw/7wedCo9wxiGO5sc3DyaLvK8XUhDPY3VP7wQNhk98M79uyQoFj3Z/bs8IzosPByPy7wKeaI8SUvdu8u2H71gGwy8Nj4/OwH4B71xR4e8tM8LPaSsm7yZPZe7792ivICB3DxeNi09u31dPI3XHb3CIZG7wEPfPFxVCj2XVtq7bXYcPEZ1ozsJido7uZj+vCQxobpfKeY7JR2tPPOlgrzAPpC7qXC/u1tj5DxfK8Q8p4SzPAmJ2jvwy4w9RYAMPMExSbtk5ty8zKQJu+VjNTyJBrO8ESDHvJwXjbtm1EY8F9SyPN+xJ7r2hiU8363rvKxBKrs6D6o8nvgvvZ/txryjtSa8gHwNPXrNcDvw1Be8ciiqO4kPvryRqAi9g1YDvSJFFTy5nLo70WgtvKSx6rxFfq477fZlvP4SKb2wEpU7GbezvONz7TwycZC8vWQaPINZdL1MJzE9MIyxPIB8jbyqXEu9BMzjPIr/hbslHS29wD6QPE0RXz3KwQg9oskavSzC87yoe6i8TRHfvB9rH728eI67iv2nOxbkajzWIei83NXTPGEZrrwuqw49+GkmO4JombzAQ188KPkAPPHF8rxMKY88OwLjvaxBqju4qYG74KTguzRbvjpR4Gs8tsaAvJZo8LzqICw8Vaqpu5wT0TxIWCQ8Utm+O0/4GzyqYAc7qWc0PWuTG7zfres8js4SvXMv1zyK/ac8VaqpuXf3trtZeTY9+WCbu5snRb3Pg868Tgqyu1WveLwvoKW8nvgvO+wDrbyXVto8PekfvGfEDj0C4jW9HJhWPAiS5btHYw08Dz8kvEGvIbkNUTo8jdedOozps7xKOyU9nQpGvAiS5byAgVy8MJW8PDRbvrz6SOs8kpK2vPWRDjy+Ww+9WmzvvJGmKj3kZZO8iBbrOaDmGT02Rey8DkoNvLqMgrwgXtg8NjzhvCUfizsdiJ48Hn01PN3MSDvXE448e7vauwqAz7zoOe86edwVO1afQDw5GDU9HI9LPRMHhDuPwUs7NUmovPs/4LxgIrm8po8cvLx4DjsV6oS7qW5hvCUfCzyGNyY9XFrZOyFZiTzWI8a8+zoRvbipAT1otWm87uTPvJVsLDtXmJO8KuHQvAPbiLzwy4y9295eO/aGJT2h0Mc86TBkOwH0y7xNEd88qlzLPO7tWj3SW+a8ydHAvC6rDjz6TKc8vlV1PON3KbwlHws9e7vavDF/aryCYv+7KepbvN3FGzy8eA489oLpPKhyHb1WneI7QLqKvKOzyDtMJ7G8o7eEvLmeGDu8eI68M2RJO/DUF70lJFq9DF6BPI+4wDtIWgI7svFZO5Cxkzug27A7jdedPLXJcb1Q7xC9dv7juzGDpjphDsW8SUtdvBEgRz0ttJk7ivI+PAD/NLwEzkE8JwV9vGTm3LxEkiI9EhXePK4mCb3WI0a9hTkEPPKzXLyaNIw7iBonPAxnDL2qXEs8Z8u7vCraozsW0lS8DF6BPEG2Tr1ot8c7UO2yvMnKkzxCoHy8cFCSvByYVrtgG4y879+AvIRHXjssyI27+k6FvGAkl7sSFd67BM5BvYRH3rz1i/Q8v07IPF8tIj3+F3i7abCavHnWe7t6zfA8RYCMvEWF27tfMvG7jsUHvTZF7LvF+4Y8yNMeu0WADL2IFuu8JhQiu8A+kLyiyRo97u3aOqpeqbb+G7Q8edyVPCQmOL1PASe8o7cEvG9gSjsKgi09Ptr6PFWqKbxj/gy96TDkPGToujwiQzc8j8FLvBbfG7z+GzS8mi5yvByYVrxovvS6CYu4vElL3bwX1pC5pKybPOg5bzwiQ7e83rMFPYCB3Dt+nP286w6WvJ/vpDoydt+793SPO+Vh1zwef5M8ZOqYO1LX4DtsipA8edZ7PDz51zwLd8S8U8eovNgGx7w1VBE9pZqFvNn0MLxm2AI9zZmgvK09bryqXqm8ppinO/4X+LwFw9i8zZkgPd68EL18tC08KPzxPPDLDL3t9mW89JoZvFtelTyJCJG8VL6dvNBxODxWpu07M2TJuxfS1DqTiau7NFs+PbEHLDzDHzM9mjIuOs2ZoDt2/mO8Q5utu2mwmjsvoCU8NF2cO4Jmuzx7v5Y7odnSPJ0MJLvevJA7Z8QOvQiUQzxEiRe87uiLOx2IHj25nDo8iREcPT7a+ryKBFU8o7p1PO36obye+C+8DGp9vG9gyrkD24g8UeaFOs96wzv8ODM7dgKgPAiS5bx60Sw9Y/wuOE8DhTziix28WXX6vBXzj7x47M081De6vDz5VzxXjwi9aqPTPN3FG72SlJS8YCK5uR50KrsIlqG7UducO7TNLbwydl880V8ivf4dkrzAPhA9PuCUu29gyjxWn0A8fLaLvGmuPLwRJ/Q8mE1PvLPsijxvYig84ZaGPFPO1TpR5oU6AP+0PE8DBT0NXCO8pLFqO8b3SjxJTxk8DVE6PON8eDxxQe28NkAdPLxiPD0nAC68vlX1OrL8QjxcVQo8U85VPTv7NbycE9G8Bb6JvC6n0jySmWO8fLYLPSM/e7xwUBI8a5G9PB50qrzZ/Ts8iv2nPL5Zsbxl3dG8e7vaO4B8jbytOJ+8DGWuvFpyibyvIs08TRM9PJKHzTxfLwA9hx/2vJo0DDvFANa7iQ++PNcYXbu/TOq8kKt5ua4ttrw1Swa9QLqKPPWRjrw4Lge9vlV1vKtGebw1Tne8QbZOOs+DzjyZO7m7JwCuvPs6kTsX1pA8s+jOOivPOjzt9mW7CJTDugTQn7ymjxw8O/s1vTz517z9Jh08/h2SOdviGjwtsju9SFoCPU0R3zsLcBc8yNOevGAX0Ds6C266uowCvZVx+7w96R+99n0aPKO1pjuwDHu8vWtHPAPV7jwSFV486SfZvM2QlbwX29+600QBPBAtDrzI2O07NzcSvZoyrjt1DYm9rTRju0o7pbwB+Ae9DGHyPJk9lzxMJzE91hwZPNzZDzwU/Jo8F9tfvG1767p51vs7hi4bPNBqiz0HqhW800QBvP4SqTwPP6Q8AuI1PCrjLj3xwgG8o7UmvGEOxTxzJsy75lhMOogaJzwIkuW8es3wvIclEDo89Ii7wxiGvM6M2brAPpA73rOFvGi5pbwuq4681iHoO6lpkrznSJQ7z3pDu9cYXTzWHBk9j7hAvFDtMj17vbg4ri02PQxh8jxXj4i8Iz/7vLxvAzyOxYe8/w5tvMfltDxm1Ma6uK5QPICB3DsTB4Q6gXEkPGuTmzvxwgG9cUWpvMfnkjyPuEC8dv7jPN+xJ7yvGcK7mETEvCUdrTtfMvG7+krJu6h3bD0W0lS8WnKJOyQoljwB9Eu8mjSMO3UUtrzJ0UA90G38ugibcLxyM5M7xAnhPDCODzykqr28riSrvA1TGL0xf2o9IVXNPD/R77wcmrS8zZVkuij5AD00W767XzJxPNcTDjwTDNO8+lF2PJKbQb24pcW8nQMZvNFdxLyM4Cg837GnPIcf9jxuaVU886MkvTNohTzKvUy9nQE7PALiNTuz38O8cjOTuwAG4jszb7I8edo3PDsGH7zmT0G7Xjt8O+ZYzLzVMI28XytEva4rWLzlYzU8JRtPuzJ4PbwEzsG8s+yKOwTHFDtKPQO7NzcSPHu72jzpJ1k993QPPLPfQ7zw1Bc8JwCuO7bCRDr5VxA9V5gTPBXxMbx1C6s843mHvJKUFDyN3Oy7kptBPK00Y7zlXIg8svrkPO/dorxXljU9kofNPDczVru2xgC9SzC8vJhIgLxAugq9l1ELPLPqLDwHpPs8369JvScArjy3sC69qWXWu9YnAruaNIw8OhEIvY7K1jsAARO8JRvPukhagjzPg068i+sRvATHlDw3M9a81hwZvB2IHr3WIWi7M2RJvEwpj7vsAy097fZluxbkar3mWMw86iAsvZVuirwOSg29G6Udu0lLXb3zrK87MnbfvE0R3zwABmK8/hQHus6MWTwn9US9VqEePUOX8bwNUTq9+VeQPOVhVzwW5Gq8BrOgPFiLzLxzL1e8L5eavEZ1o7xVtZK8YCDbPOwFi7tBryE9ZtgCvXyyzzxYi0w8Sj2DvCcCjLyXWLg8TgwQPUwj9Tp0HcE8BMcUvf8O7TxxQe28es1wPDgqy7wFvgk8bX1JPLPozjwU/Jq8pZqFO36Xrrw0XZy8SUaOPFtctzl1C6s8kK+1vPtBvryz30O8d/mUPHu/lrxhBbo7ppinvAXFtjuWaHC7e8RlO+dGtryy87e7mjKuPLipATyWX2U8hx92vPWU/7twSvg83M6mul8rxDuBcSQ95VwIOzJ4vbmXT628uZj+u8A+kDwA/da8wiGRvJV1tzxTztU6aa68vBMM07yCaJm8BcNYPG5pVbwnAK47ESKlu+dIFD2Aei88fLStuvpRdjkzbzK9Ae0eOzCMMThZcKu7UtCzPKO3BL07/RO936a+PA1TGDwnCbk7LqfSPBMOMb1Ffq472AbHvEwnsTwnCxc8Gq6oPKxKNT3PekO7cFASvDVSszyg5Du8SzC8PLmVDTwq4VC850gUPKpgB7xfMvG8KPcivVDvkLr3dI+7Fuimu82XQj3pK5W8Q5QAPAPe+TyPwcu7EwzTvBucEr01Tve8UPY9PcnGV70q3IG8appIuzF/6jy+VfU7aaWxvNzQhLx51vu8F9LUvOsOFr0V6oQ8gIUYu8QNnTrKv6o8nBNRumEOxbuVcfs8b1kduxuckjuAfA09F9YQu4gYST1ZdXq8BrHCvGIB/ju2wGY81iWkvDRbPrwORlG84J8RPSvPOjqK+0k8bm0RvRAwf7qf8QK7uZUNvdviGrwFxba82fSwvCYSRLxprjy6e8TlPNJb5jsjOqy7ZOZcvICBXDwC4rW8hFJHvPHAIzzOhwq8NzeSvD/R7zwvooM7IVVNPMyn+rwJi7g81hyZvFiNqjv1iIM8v0zqvNgKAztNFRs7xfkovIJomToMav27g10wPYJi/zs2PGG8qH2GPEObrTzLq7a8P8pCvI3XHTxzL1c8Z8IwPYNZ9Dxppw+8bH+nuyraIzutNGO8/hf4vHjuKz3WIeg6CYnavLASlTxR4Os7"} 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"} 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"} \ No newline at end of file diff --git a/testkg.py b/testkg.py new file mode 100644 index 00000000..7254c095 --- /dev/null +++ b/testkg.py @@ -0,0 +1,36 @@ +import os +from lightrag import LightRAG, QueryParam +from lightrag.llm import gpt_4o_mini_complete, gpt_4o_complete + +######### +# Uncomment the below two lines if running in a jupyter notebook to handle the async nature of rag.insert() +# import nest_asyncio +# nest_asyncio.apply() +######### + +WORKING_DIR = "./neo4jWorkDir" + + +if not os.path.exists(WORKING_DIR): + os.mkdir(WORKING_DIR) + +rag = LightRAG( + working_dir=WORKING_DIR, + llm_model_func=gpt_4o_mini_complete # Use gpt_4o_mini_complete LLM model + # llm_model_func=gpt_4o_complete # Optionally, use a stronger model +) + +with open("./book.txt") as f: + rag.insert(f.read()) + +# Perform naive search +print(rag.query("What are the top themes in this story?", param=QueryParam(mode="naive"))) + +# Perform local search +print(rag.query("What are the top themes in this story?", param=QueryParam(mode="local"))) + +# Perform global search +print(rag.query("What are the top themes in this story?", param=QueryParam(mode="global"))) + +# Perform hybrid search +print(rag.query("What are the top themes in this story?", param=QueryParam(mode="hybrid"))) \ No newline at end of file From 1d6754f01a16867fa52d7823118a4f0e871f89f1 Mon Sep 17 00:00:00 2001 From: =?UTF-8?q?=E2=9C=A8Data=20Intelligence=20Lab=40HKU=E2=9C=A8?= <118165258+HKUDS@users.noreply.github.com> Date: Wed, 30 Oct 2024 10:48:45 +0800 Subject: [PATCH 126/258] Update README.md --- README.md | 12 ++++++------ 1 file changed, 6 insertions(+), 6 deletions(-) diff --git a/README.md b/README.md index acfd7c96..b85c3534 100644 --- a/README.md +++ b/README.md @@ -22,12 +22,12 @@ This repository hosts the code of LightRAG. The structure of this code is based ## 🎉 News -- [x] [2024.10.29]🎯🎯📢📢Multi-file types are now supported by `textract`. -- [x] [2024.10.20]🎯🎯📢📢We’ve added a new feature to LightRAG: Graph Visualization. -- [x] [2024.10.18]🎯🎯📢📢We’ve added a link to a [LightRAG Introduction Video](https://youtu.be/oageL-1I0GE). Thanks to the author! -- [x] [2024.10.17]🎯🎯📢📢We have created a [Discord channel](https://discord.gg/mvsfu2Tg)! Welcome to join for sharing and discussions! 🎉🎉 -- [x] [2024.10.16]🎯🎯📢📢LightRAG now supports [Ollama models](https://github.com/HKUDS/LightRAG?tab=readme-ov-file#quick-start)! -- [x] [2024.10.15]🎯🎯📢📢LightRAG now supports [Hugging Face models](https://github.com/HKUDS/LightRAG?tab=readme-ov-file#quick-start)! +- [x] [2024.10.29]🎯🎯📢📢 LightRAG now supports multiple file types, including PDF, DOC, PPT, and CSV via `textract`. +- [x] [2024.10.20]🎯🎯📢📢 We’ve added a new feature to LightRAG: Graph Visualization. +- [x] [2024.10.18]🎯🎯📢📢 We’ve added a link to a [LightRAG Introduction Video](https://youtu.be/oageL-1I0GE). Thanks to the author! +- [x] [2024.10.17]🎯🎯📢📢 We have created a [Discord channel](https://discord.gg/mvsfu2Tg)! Welcome to join for sharing and discussions! 🎉🎉 +- [x] [2024.10.16]🎯🎯📢📢 LightRAG now supports [Ollama models](https://github.com/HKUDS/LightRAG?tab=readme-ov-file#quick-start)! +- [x] [2024.10.15]🎯🎯📢📢 LightRAG now supports [Hugging Face models](https://github.com/HKUDS/LightRAG?tab=readme-ov-file#quick-start)! ## Algorithm Flowchart From 62d7ac2186b8ee1031a29179530f272c5b5e2d62 Mon Sep 17 00:00:00 2001 From: =?UTF-8?q?=E2=9C=A8Data=20Intelligence=20Lab=40HKU=E2=9C=A8?= <118165258+HKUDS@users.noreply.github.com> Date: Wed, 30 Oct 2024 10:49:59 +0800 Subject: [PATCH 127/258] Update README.md --- README.md | 12 ++++++------ 1 file changed, 6 insertions(+), 6 deletions(-) diff --git a/README.md b/README.md index b85c3534..d506a12b 100644 --- a/README.md +++ b/README.md @@ -22,12 +22,12 @@ This repository hosts the code of LightRAG. The structure of this code is based ## 🎉 News -- [x] [2024.10.29]🎯🎯📢📢 LightRAG now supports multiple file types, including PDF, DOC, PPT, and CSV via `textract`. -- [x] [2024.10.20]🎯🎯📢📢 We’ve added a new feature to LightRAG: Graph Visualization. -- [x] [2024.10.18]🎯🎯📢📢 We’ve added a link to a [LightRAG Introduction Video](https://youtu.be/oageL-1I0GE). Thanks to the author! -- [x] [2024.10.17]🎯🎯📢📢 We have created a [Discord channel](https://discord.gg/mvsfu2Tg)! Welcome to join for sharing and discussions! 🎉🎉 -- [x] [2024.10.16]🎯🎯📢📢 LightRAG now supports [Ollama models](https://github.com/HKUDS/LightRAG?tab=readme-ov-file#quick-start)! -- [x] [2024.10.15]🎯🎯📢📢 LightRAG now supports [Hugging Face models](https://github.com/HKUDS/LightRAG?tab=readme-ov-file#quick-start)! +- [x] [2024.10.29]🎯📢LightRAG now supports multiple file types, including PDF, DOC, PPT, and CSV via `textract`. +- [x] [2024.10.20]🎯📢We’ve added a new feature to LightRAG: Graph Visualization. +- [x] [2024.10.18]🎯📢We’ve added a link to a [LightRAG Introduction Video](https://youtu.be/oageL-1I0GE). Thanks to the author! +- [x] [2024.10.17]🎯📢We have created a [Discord channel](https://discord.gg/mvsfu2Tg)! Welcome to join for sharing and discussions! 🎉🎉 +- [x] [2024.10.16]🎯📢LightRAG now supports [Ollama models](https://github.com/HKUDS/LightRAG?tab=readme-ov-file#quick-start)! +- [x] [2024.10.15]🎯📢LightRAG now supports [Hugging Face models](https://github.com/HKUDS/LightRAG?tab=readme-ov-file#quick-start)! ## Algorithm Flowchart From e4509327ddcb47c7b0925d7d7f18a9ace23c7cf2 Mon Sep 17 00:00:00 2001 From: Ken Wiltshire Date: Wed, 30 Oct 2024 17:48:14 -0400 Subject: [PATCH 128/258] index to neo4j working and tested. check queires next. --- .gitignore | 5 +- get_all_edges_nx.py | 34 + graph_chunk_entity_relation.gefx | 4621 +++ lightrag/kg/neo4j.py | 152 +- lightrag/lightrag.py | 2 +- lightrag/storage.py | 2 +- neo4jWorkDir/kv_store_llm_response_cache.json | 518 +- neo4jWorkDir/lightrag.log | 33911 ++++++++++++---- neo4jWorkDir/vdb_chunks.json | 2 +- neo4jWorkDir/vdb_entities.json | 2 +- neo4jWorkDir/vdb_relationships.json | 2 +- test.py | 23 +- testkg.py | 3 +- 13 files changed, 30893 insertions(+), 8384 deletions(-) create mode 100644 get_all_edges_nx.py create mode 100644 graph_chunk_entity_relation.gefx diff --git a/.gitignore b/.gitignore index 5eabc386..7a161f3c 100644 --- a/.gitignore +++ b/.gitignore @@ -5,4 +5,7 @@ book.txt lightrag-dev/ .idea/ dist/ -env/ \ No newline at end of file +env/ +local_neo4jWorkDir/ +local_neo4jWorkDir.bak/ +neo4jWorkDir/ \ No newline at end of file diff --git a/get_all_edges_nx.py b/get_all_edges_nx.py new file mode 100644 index 00000000..df45bf80 --- /dev/null +++ b/get_all_edges_nx.py @@ -0,0 +1,34 @@ +import networkx as nx + +G = nx.read_graphml('./dickensTestEmbedcall/graph_chunk_entity_relation.graphml') + +def get_all_edges_and_nodes(G): + # Get all edges and their properties + edges_with_properties = [] + for u, v, data in G.edges(data=True): + edges_with_properties.append({ + 'start': u, + 'end': v, + 'label': data.get('label', ''), # Assuming 'label' is used for edge type + 'properties': data, + 'start_node_properties': G.nodes[u], + 'end_node_properties': G.nodes[v] + }) + + return edges_with_properties + +# Example usage +if __name__ == "__main__": + # Assume G is your NetworkX graph loaded from Neo4j + + all_edges = get_all_edges_and_nodes(G) + + # Print all edges and node properties + for edge in all_edges: + print(f"Edge Label: {edge['label']}") + print(f"Edge Properties: {edge['properties']}") + print(f"Start Node: {edge['start']}") + print(f"Start Node Properties: {edge['start_node_properties']}") + print(f"End Node: {edge['end']}") + print(f"End Node Properties: {edge['end_node_properties']}") + print("---") \ No newline at end of file diff --git a/graph_chunk_entity_relation.gefx b/graph_chunk_entity_relation.gefx new file mode 100644 index 00000000..8ff2e47e --- /dev/null +++ b/graph_chunk_entity_relation.gefx @@ -0,0 +1,4621 @@ + + + + NetworkX 3.2.1 + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + 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+ + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + diff --git a/lightrag/kg/neo4j.py b/lightrag/kg/neo4j.py index 374d9352..ddb78efe 100644 --- a/lightrag/kg/neo4j.py +++ b/lightrag/kg/neo4j.py @@ -4,24 +4,42 @@ from dataclasses import dataclass from typing import Any, Union, cast import numpy as np -from nano_vectordb import NanoVectorDB import inspect +# import package.common.utils as utils +from lightrag.utils import load_json, logger, write_json +from ..base import ( + BaseGraphStorage +) +from neo4j import GraphDatabase, exceptions as neo4jExceptions +from tenacity import ( + retry, + stop_after_attempt, + wait_exponential, + retry_if_exception_type, +) + + + + + +# @TODO: catch and retry "ERROR:neo4j.io:Failed to write data to connection ResolvedIPv4Address" +# during indexing. -# import package.common.utils as utils -from lightrag.utils import load_json, logger, write_json -from ..base import ( - BaseGraphStorage -) -from neo4j import GraphDatabase # Replace with your actual URI, username, and password +#local URI = "neo4j://localhost:7687" USERNAME = "neo4j" -PASSWORD = "your_password" +PASSWORD = "password" + +#aura +# URI = "neo4j+s://91fbae6c.databases.neo4j.io" +# USERNAME = "neo4j" +# PASSWORD = "KWKPXfXcClDbUlmDdGgIQhU5mL1N4E_2CJp2BDFbEbw" # Create a driver object @@ -33,7 +51,7 @@ def load_nx_graph(file_name): def __post_init__(self): # self._graph = preloaded_graph or nx.Graph() - self._driver = GraphDatabase.driver("neo4j+s://91fbae6c.databases.neo4j.io", auth=("neo4j", "KWKPXfXcClDbUlmDdGgIQhU5mL1N4E_2CJp2BDFbEbw")) + self._driver = GraphDatabase.driver(URI, auth=(USERNAME, PASSWORD)) self._node_embed_algorithms = { "node2vec": self._node2vec_embed, } @@ -129,13 +147,11 @@ def _find_node_degree(session, label): # degree = session.read_transaction(get_edge_degree, 1, 2) async def edge_degree(self, src_id: str, tgt_id: str) -> int: - entity_name__label_source = src_id.strip('\"') + entity_name_label_source = src_id.strip('\"') entity_name_label_target = tgt_id.strip('\"') with self._driver.session() as session: - query = """MATCH (n1:`{node_label1}`)-[r]-(n2:`{node_label2}`) - RETURN count(r) AS degree""".format(entity_name__label_source=entity_name__label_source, - entity_name_label_target=entity_name_label_target) - + query = f"""MATCH (n1:`{entity_name_label_source}`)-[r]-(n2:`{entity_name_label_target}`) + RETURN count(r) AS degree""" result = session.run(query) record = result.single() logger.info( @@ -144,7 +160,7 @@ async def edge_degree(self, src_id: str, tgt_id: str) -> int: return record["degree"] async def get_edge(self, source_node_id: str, target_node_id: str) -> Union[dict, None]: - entity_name__label_source = source_node_id.strip('\"') + entity_name_label_source = source_node_id.strip('\"') entity_name_label_target = target_node_id.strip('\"') """ Find all edges between nodes of two given labels @@ -156,28 +172,25 @@ async def get_edge(self, source_node_id: str, target_node_id: str) -> Union[dict Returns: list: List of all relationships/edges found """ - with self._driver.session() as session: + with self._driver.session() as session: query = f""" - MATCH (source:`{entity_name__label_source}`)-[r]-(target:`{entity_name_label_target}`) - RETURN r - """ + MATCH (start:`{entity_name_label_source}`)-[r]->(end:`{entity_name_label_target}`) + RETURN properties(r) as edge_properties + LIMIT 1 + """.format(entity_name_label_source=entity_name_label_source, entity_name_label_target=entity_name_label_target) - result = session.run(query) - for logrecord in result: + result = session.run(query) + record = result.single() + if record: + result = dict(record["edge_properties"]) logger.info( - f'{inspect.currentframe().f_code.co_name}:query:{query}:result:{logrecord["r"]}' - ) - - - return [record["r"] for record in result] + f'{inspect.currentframe().f_code.co_name}:query:{query}:result:{result}' + ) + return result + else: + return None - - async def get_node_edges(self, source_node_id: str): - if self._graph.has_node(source_node_id): - return list(self._graph.edges(source_node_id)) - return None - async def get_node_edges(self, source_node_id: str): node_label = source_node_id.strip('\"') @@ -208,8 +221,8 @@ def fetch_edges(tx, label): target_label = list(connected_node.labels)[0] if connected_node and connected_node.labels else None if source_label and target_label: - print (f"appending: {[source_label, target_label]}") - edges.append([source_label, target_label]) + print (f"appending: {(source_label, target_label)}") + edges.append((source_label, target_label)) return edges @@ -218,57 +231,54 @@ def fetch_edges(tx, label): return edges - # try: - # with self._driver.session() as session: - # if self.has_node(node_label): - # edges = session.read_transaction(fetch_edges,node_label) - # return list(edges) - # return edges - # finally: - # print ("consider closign driver here") - # # driver.close() - from typing import List, Tuple - async def get_node_connections(driver: GraphDatabase.driver, label: str) -> List[Tuple[str, str]]: - def run_query(tx): - query = f""" - MATCH (n:`{label}`) - OPTIONAL MATCH (n)-[r]-(connected) - RETURN n, r, connected - """ - results = tx.run(query) + # from typing import List, Tuple + # async def get_node_connections(driver: GraphDatabase.driver, label: str) -> List[Tuple[str, str]]: + # def get_connections_for_node(tx): + # query = f""" + # MATCH (n:`{label}`) + # OPTIONAL MATCH (n)-[r]-(connected) + # RETURN n, r, connected + # """ + # results = tx.run(query) - connections = [] - for record in results: - source_node = record['n'] - connected_node = record['connected'] + + # connections = [] + # for record in results: + # source_node = record['n'] + # connected_node = record['connected'] - source_label = list(source_node.labels)[0] if source_node.labels else None - target_label = list(connected_node.labels)[0] if connected_node and connected_node.labels else None + # source_label = list(source_node.labels)[0] if source_node.labels else None + # target_label = list(connected_node.labels)[0] if connected_node and connected_node.labels else None - if source_label and target_label: - connections.append((source_label, target_label)) - - return connections + # if source_label and target_label: + # connections.append((source_label, target_label)) + + # logger.info( + # f'{inspect.currentframe().f_code.co_name}:query:{query}:result:{connections}' + # ) + # return connections - with driver.session() as session: - return session.read_transaction(run_query) + # with driver.session() as session: + + # return session.read_transaction(get_connections_for_node) #upsert_node + + @retry( + stop=stop_after_attempt(3), + wait=wait_exponential(multiplier=1, min=4, max=10), + retry=retry_if_exception_type((neo4jExceptions.ServiceUnavailable, neo4jExceptions.TransientError, neo4jExceptions.WriteServiceUnavailable)), + ) async def upsert_node(self, node_id: str, node_data: dict[str, str]): label = node_id.strip('\"') properties = node_data """ Upsert a node with the given label and properties within a transaction. - If a node with the same label exists, it will: - - Update existing properties with new values - - Add new properties that don't exist - If no node exists, creates a new node with all properties. - Args: label: The node label to search for and apply properties: Dictionary of node properties @@ -355,7 +365,7 @@ def _do_upsert_edge(tx, source_node_label: str, target_node_label: str, edge_pro result = tx.run(query, properties=edge_properties) logger.info( - f'{inspect.currentframe().f_code.co_name}:query:{query}:result:{None}' + f'{inspect.currentframe().f_code.co_name}:query:{query}:edge_properties:{edge_properties}' ) return result.single() @@ -369,6 +379,8 @@ def _do_upsert_edge(tx, source_node_label: str, target_node_label: str, edge_pro # return result async def _node2vec_embed(self): + print ("this is never called. checking to be sure.") + # async def _node2vec_embed(self): with self._driver.session() as session: #Define the Cypher query diff --git a/lightrag/lightrag.py b/lightrag/lightrag.py index 61e4e7a2..774c7efe 100644 --- a/lightrag/lightrag.py +++ b/lightrag/lightrag.py @@ -102,8 +102,8 @@ class LightRAG: # module = importlib.import_module('kg.neo4j') # Neo4JStorage = getattr(module, 'GraphStorage') - if True==True: + print ("using KG") graph_storage_cls: Type[BaseGraphStorage] = Neo4JStorage else: graph_storage_cls: Type[BaseGraphStorage] = NetworkXStorage diff --git a/lightrag/storage.py b/lightrag/storage.py index 1f22fc56..6e14873b 100644 --- a/lightrag/storage.py +++ b/lightrag/storage.py @@ -235,7 +235,7 @@ async def embed_nodes(self, algorithm: str) -> tuple[np.ndarray, list[str]]: async def _node2vec_embed(self): from graspologic import embed - + print ("is this ever called?") embeddings, nodes = embed.node2vec_embed( self._graph, **self.global_config["node2vec_params"], diff --git a/neo4jWorkDir/kv_store_llm_response_cache.json b/neo4jWorkDir/kv_store_llm_response_cache.json index 5758b7e9..c3b669c5 100644 --- a/neo4jWorkDir/kv_store_llm_response_cache.json +++ b/neo4jWorkDir/kv_store_llm_response_cache.json @@ -1,354 +1,538 @@ { - "ef7a5529fddead830ae9f9fdfb9e47cf": { - "return": "(\"entity\"<|>\"Scrooge\"<|>\"person\"<|>\"Scrooge is the main character, portrayed as a solitary, cold-hearted man experiencing supernatural events related to Marley’s ghost.\")##\n(\"entity\"<|>\"Marley's Ghost\"<|>\"event\"<|>\"Marley's Ghost represents the supernatural apparition of Marley, who has been dead for seven years and symbolizes regret and warning to Scrooge.\")##\n(\"entity\"<|>\"The House\"<|>\"geo\"<|>\"The House is the setting where Scrooge experiences the haunting, with a description of its features contributing to the eerie atmosphere.\")##\n(\"relationship\"<|>\"Scrooge\"<|>\"Marley's Ghost\"<|>\"Scrooge is haunted by Marley's Ghost, which confronts him as a part of a supernatural occurrence meant to incite fear and reflection on his life choices.\"<|>\"supernatural confrontation, regret\"<|>10)##\n(\"relationship\"<|>\"Scrooge\"<|>\"The House\"<|>\"Scrooge's experiences with Marley's Ghost occur within The House, which plays a crucial role in the haunting atmosphere.\"<|>\"haunting, setting influence\"<|>8)##\n(\"content_keywords\"<|>\"haunting, supernatural, regret, isolation\")<|COMPLETE|>", + "09c3e65acef33139a3334086692f6727": { + "return": "(\"entity\"<|>\"Scrooge\"<|>\"person\"<|>\"Scrooge is a character who experiences disbelief and fear in the presence of Marley's Ghost, showing a conflict between skepticism and acknowledgment of the supernatural.\")## \n(\"entity\"<|>\"Marley's Ghost\"<|>\"event\"<|>\"Marley's Ghost is a spectral figure that represents Scrooge's past partner who has returned to convey a message, encapsulating themes of guilt and redemption.\")## \n(\"entity\"<|>\"Jacob Marley\"<|>\"person\"<|>\"Jacob Marley is Scrooge's deceased business partner who appears as a ghost, wearing chains that symbolize his past misdeeds and the burden of his regrets.\")## \n(\"relationship\"<|>\"Scrooge\"<|>\"Marley's Ghost\"<|>\"Scrooge is confronted by Marley's Ghost, representing the struggle between his disbelief and the ghost's insistence on showing the consequences of Scrooge's life choices.\"<|>\"confrontation, supernatural experience\"<|>8)## \n(\"relationship\"<|>\"Jacob Marley\"<|>\"Marley's Ghost\"<|>\"Jacob Marley is the entity represented by Marley's Ghost, embodying the warning about the repercussions of a life focused solely on material gain.\"<|>\"past partnership, redemption\"<|>9)## \n(\"content_keywords\"<|>\"disbelief, redemption, supernatural, past consequence\")<|COMPLETE|>", "model": "gpt-4o-mini" }, - "09c3e65acef33139a3334086692f6727": { - "return": "(\"entity\"<|>\"Jacob Marley\"<|>\"person\"<|>\"Jacob Marley is a ghost who appears to Scrooge, having been his business partner in life, and is now bound by chains that signify his earthly ties and regrets.\")##\n(\"entity\"<|>\"Scrooge\"<|>\"person\"<|>\"Scrooge is a cold-hearted, skeptical man who encounters the ghost of Jacob Marley and struggles to believe in the supernatural.\")##\n(\"entity\"<|>\"The Ghost\"<|>\"event\"<|>\"The Ghost is a spectral manifestation of Jacob Marley, appearing to communicate a vital message to Scrooge about the spiritual consequences of his life choices.\")##\n(\"relationship\"<|>\"Scrooge\"<|>\"Jacob Marley\"<|>\"Scrooge confronts Jacob Marley, his former business partner, who returns as a ghost to influence Scrooge's perspective on life and his actions.\"<|>\"supernatural encounter, past ties\"<|>9)##\n(\"relationship\"<|>\"The Ghost\"<|>\"Jacob Marley\"<|>\"The Ghost is the spectral form of Jacob Marley, representing his ongoing existence and his desire to communicate a warning to Scrooge.\"<|>\"spectral representation, message delivery\"<|>10)##\n(\"content_keywords\"<|>\"supernatural, redemption, spectral message, skepticism\")<|COMPLETE|>", + "00d7b6433965192b078c10dfaf4206e0": { + "return": "(\"entity\"<|>\"Scrooge\"<|>\"person\"<|>\"Scrooge is a character who experiences perplexity and fear over supernatural events and visions, particularly concerning Marley's Ghost.\")##\n(\"entity\"<|>\"Marley's Ghost\"<|>\"event\"<|>\"Marley's Ghost is an unearthly visitor that appears to Scrooge, causing him to question the nature of reality and dreams.\")##\n(\"entity\"<|>\"The Ghost\"<|>\"event\"<|>\"The Ghost is described as a strange figure with qualities of both a child and an old man, representing the supernatural intervention in Scrooge's life.\")##\n(\"entity\"<|>\"Clock\"<|>\"organization\"<|>\"The Clock symbolizes the passage of time and plays a pivotal role in establishing the moments of Scrooge's experience with the Ghost.\")##\n(\"relationship\"<|>\"Scrooge\"<|>\"Marley's Ghost\"<|>\"Scrooge is directly confronted by Marley's Ghost, leading to confusion and existential questioning on his part.\"<|>\"supernatural encounter, existential crisis\"<|>9)##\n(\"relationship\"<|>\"Scrooge\"<|>\"The Ghost\"<|>\"Scrooge's interaction with The Ghost leads to significant inner turmoil and contemplation about dreams and reality.\"<|>\"supernatural encounter, confusion\"<|>8)##\n(\"relationship\"<|>\"Clock\"<|>\"Scrooge\"<|>\"Scrooge's observations of the Clock reflect his anxiety over time and the supernatural events unfolding around him.\"<|>\"time symbolism, anxiety\"<|>7)##\n(\"content_keywords\"<|>\"supernatural, existential questioning, time, confusion\")<|COMPLETE|>", + "model": "gpt-4o-mini" + }, + "ef7a5529fddead830ae9f9fdfb9e47cf": { + "return": "(\"entity\"<|>\"Marley\"<|>\"person\"<|>\"Marley is depicted as a ghost, having a pigtail, waistcoat, tights, and boots, and is central to Scrooge's haunting experience.\")##\n(\"entity\"<|>\"Scrooge\"<|>\"person\"<|>\"Scrooge is the main character who is initially skeptical about the ghostly presence of Marley, reflecting his character's humbug attitude.\")##\n(\"entity\"<|>\"The House\"<|>\"geo\"<|>\"The House is the setting for Scrooge's encounters, characterized by its darkness, the creaking sounds, and the presence of the ghost.\")##\n(\"entity\"<|>\"The Ghost\"<|>\"event\"<|>\"The Ghost refers to the apparition of Marley, which instills dread in Scrooge and symbolizes the theme of redemption.\")##\n(\"relationship\"<|>\"Scrooge\"<|>\"Marley\"<|>\"Scrooge encounters Marley’s ghost, which challenges his beliefs and signifies the start of his transformation.\"<|>\"ghostly encounter, transformation\"<|>8)##\n(\"relationship\"<|>\"Scrooge\"<|>\"The House\"<|>\"Scrooge's experiences and encounters with Marley occur within The House, which plays a significant role in the haunting atmosphere.\"<|>\"setting, atmosphere\"<|>7)##\n(\"relationship\"<|>\"Marley\"<|>\"The Ghost\"<|>\"Marley is the embodiment of The Ghost that appears to Scrooge, representing past choices and the consequences of his actions.\"<|>\"haunting, past choices\"<|>9)##\n(\"content_keywords\"<|>\"redemption, ghosts, transformation, haunting atmosphere\")<|COMPLETE|>", "model": "gpt-4o-mini" }, "ac87fabbb84a6d5cca16454aa74afa60": { - "return": "(\"entity\"<|>\"Scrooge\"<|>\"person\"<|>\"Scrooge is a miserly character, cold-hearted and solitary, known for his disdain for Christmas and lack of human sympathy.\")##\n(\"entity\"<|>\"Scrooge's Nephew\"<|>\"person\"<|>\"Scrooge's Nephew is a cheerful and optimistic character who represents the spirit of Christmas, opposing Scrooge's views.\")##\n(\"entity\"<|>\"Christmas\"<|>\"event\"<|>\"Christmas is portrayed as a festive time that Scrooge dismisses, emphasizing the contrast between joy and his miserable attitude.\")##\n(\"entity\"<|>\"The Counting-House\"<|>\"organization\"<|>\"The Counting-House is where Scrooge works and is characterized by its cold and unwelcoming environment.\")##\n(\"relationship\"<|>\"Scrooge\"<|>\"Scrooge's Nephew\"<|>\"Scrooge's Nephew tries to cheer Scrooge up and promote the joy of Christmas, but is met with rejection and negativity.\"<|>\"family dynamics, opposing views\"<|>8)##\n(\"relationship\"<|>\"Scrooge\"<|>\"Christmas\"<|>\"Scrooge expresses disdain for Christmas, viewing it as a burden rather than a celebration.\"<|>\"conflict, holiday spirit\"<|>9)##\n(\"relationship\"<|>\"Scrooge\"<|>\"The Counting-House\"<|>\"Scrooge's work environment reflects his personality, being cold and uninviting, mirroring his discontent with life.\"<|>\"work environment, personality reflection\"<|>7)##\n(\"content_keywords\"<|>\"disdain for Christmas, family conflict, isolation, work ethic\")<|COMPLETE|>", + "return": "(\"entity\"<|>\"Scrooge\"<|>\"person\"<|>\"Scrooge is a solitary and cold-hearted character, known for his miserly behavior and disdain for Christmas, showing a lack of empathy towards others.\")##\n(\"entity\"<|>\"Scrooge's Nephew\"<|>\"person\"<|>\"Scrooge's Nephew is a cheerful and optimistic character who challenges Scrooge's gloomy outlook on Christmas and life.\")##\n(\"entity\"<|>\"Christmas\"<|>\"event\"<|>\"Christmas represents a time of celebration and joy that Scrooge rejects, highlighting themes of generosity and community.\")##\n(\"entity\"<|>\"Counting-house\"<|>\"organization\"<|>\"Scrooge's counting-house is the place of his work, characterized by coldness and a lack of warmth or holiday spirit.\")##\n(\"relationship\"<|>\"Scrooge\"<|>\"Scrooge's Nephew\"<|>\"Scrooge and his nephew engage in a verbal exchange where the nephew represents joy and celebration, contrasting with Scrooge's cynicism and disdain.\"<|>\"family conflict, contrasting views\"<|>8)##\n(\"relationship\"<|>\"Scrooge\"<|>\"Christmas\"<|>\"Scrooge's rejection of Christmas embodies his overall discord with the spirit of the holiday, viewing it as a time of financial burden instead of joy.\"<|>\"rejection, festive spirit\"<|>9)##\n(\"relationship\"<|>\"Scrooge's Nephew\"<|>\"Christmas\"<|>\"Scrooge's nephew views Christmas as a merry occasion, symbolizing the warmth and generosity that Scrooge dismisses.\"<|>\"celebration, contrasting views\"<|>7)##\n(\"relationship\"<|>\"Scrooge\"<|>\"Counting-house\"<|>\"Scrooge's counting-house is a reflection of his cold character and attitude towards life, where he isolates himself from human interactions.\"<|>\"isolation, work environment\"<|>8)##\n(\"content_keywords\"<|>\"isolation, festive spirit, financial burden, family conflict\")<|COMPLETE|>", "model": "gpt-4o-mini" }, - "00d7b6433965192b078c10dfaf4206e0": { - "return": "(\"entity\"<|>\"Ebenezer Scrooge\"<|>\"person\"<|>\"Ebenezer Scrooge is a protagonist who experiences confusion and fear regarding the passage of time and supernatural events, especially concerned about a ghostly visitation.\")##\n(\"entity\"<|>\"Marley's Ghost\"<|>\"event\"<|>\"Marley's Ghost is a spectral visitation that deeply troubles Scrooge and causes him great perplexity, leading him to question the reality of his experiences.\")##\n(\"entity\"<|>\"The Clock\"<|>\"technology\"<|>\"The Clock is a device that malfunctions, contributing to Scrooge's confusion about time and reality in the narrative.\")##\n(\"entity\"<|>\"The Visitor\"<|>\"person\"<|>\"The Visitor is a mysterious figure that appears to Scrooge; it possesses qualities of both youth and age, signifying the blend of time and supernatural elements.\")##\n(\"relationship\"<|>\"Ebenezer Scrooge\"<|>\"Marley's Ghost\"<|>\"Scrooge is troubled by Marley's Ghost, which leads him to question the nature of his reality and whether he has been dreaming.\"<|>\"supernatural influence, distress\"<|>8)##\n(\"relationship\"<|>\"Ebenezer Scrooge\"<|>\"The Visitor\"<|>\"Scrooge comes face to face with The Visitor, indicating a significant encounter that affects his understanding of life and death.\"<|>\"supernatural encounter, revelation\"<|>9)##\n(\"relationship\"<|>\"Ebenezer Scrooge\"<|>\"The Clock\"<|>\"Scrooge's confusion about time is exacerbated by The Clock's malfunction, heightening his sense of disorientation.\"<|>\"temporal confusion, malfunction\"<|>7)##\n(\"content_keywords\"<|>\"supernatural, time, confusion, spectral visitation\")<|COMPLETE|>", + "b6d217776b520bf85bf936916835d0b1": { + "return": "(\"entity\"<|>\"Scrooge\"<|>\"person\"<|>\"Scrooge is a central character who interacts with the Spirit and reflects on his past during the narrative.\")##\n(\"entity\"<|>\"Ghost of Christmas Past\"<|>\"event\"<|>\"The Ghost of Christmas Past represents a spirit that guides Scrooge to revisit and reflect on his past experiences and memories.\")##\n(\"entity\"<|>\"The Spirit\"<|>\"organization\"<|>\"The Spirit serves as a guiding force in the narrative, helping Scrooge understand his history and the impact of his actions.\")##\n(\"entity\"<|>\"winter day\"<|>\"event\"<|>\"The winter day serves as the setting for Scrooge's journey with the Ghost, representing a time for reflection and nostalgia.\")##\n(\"entity\"<|>\"market-town\"<|>\"geo\"<|>\"The market-town appears in Scrooge's memories as a significant place from his childhood, representing a connection to his past.\")##\n(\"relationship\"<|>\"Scrooge\"<|>\"Ghost of Christmas Past\"<|>\"Scrooge engages with the Ghost of Christmas Past to explore and reflect on his life and choices.\"<|>\"reflection, guidance\"<|>8)##\n(\"relationship\"<|>\"Scrooge\"<|>\"Spirit\"<|>\"Scrooge's interactions with the Spirit serve to illuminate his past and its influence on his current self.\"<|>\"guidance, personal growth\"<|>7)##\n(\"relationship\"<|>\"Ghost of Christmas Past\"<|>\"winter day\"<|>\"The Ghost leads Scrooge to experience a winter day from his memories, emphasizing feelings of nostalgia and longing.\"<|>\"nostalgia, memory\"<|>9)##\n(\"relationship\"<|>\"Scrooge\"<|>\"market-town\"<|>\"Scrooge encounters the market-town in his memories, triggering feelings of recognition and emotional reflection.\"<|>\"memory, childhood\"<|>8)##\n(\"content_keywords\"<|>\"reflection, nostalgia, personal growth, memory\")<|COMPLETE|>", "model": "gpt-4o-mini" }, - "4498cd83d1404d5f1a79e9d76791f24a": { - "return": "(\"entity\"<|>\"Fezziwig\"<|>\"person\"<|>\"Fezziwig is depicted as a joyful character who dances with his wife and embodies the spirit of Christmas.\")##\n(\"entity\"<|>\"Mrs. Fezziwig\"<|>\"person\"<|>\"Mrs. Fezziwig is the wife of Fezziwig, participating in the dance, representing companionship and festive cheer.\")##\n(\"entity\"<|>\"Scrooge\"<|>\"person\"<|>\"Scrooge is a central character, known for his miserly nature and single-minded focus on business, who also mourns Marley.\")##\n(\"entity\"<|>\"Marley\"<|>\"person\"<|>\"Marley is Scrooge's deceased partner whose death is emphasized, and who impacts Scrooge's story through memories and reflections.\")##\n(\"entity\"<|>\"Christmas\"<|>\"event\"<|>\"Christmas is the season during which festive activities and celebrations are occurring, including dances and gatherings.\")##\n(\"relationship\"<|>\"Fezziwig\"<|>\"Mrs. Fezziwig\"<|>\"Fezziwig and Mrs. Fezziwig dance together, showcasing their joyful relationship and the spirit of togetherness during Christmas.\"<|>\"festivity, companionship\"<|>8)##\n(\"relationship\"<|>\"Scrooge\"<|>\"Marley\"<|>\"Scrooge is deeply affected by Marley's death, illustrated through his role as the sole executor and mourner of Marley.\"<|>\"mourning, partnership\"<|>9)##\n(\"relationship\"<|>\"Scrooge\"<|>\"Christmas\"<|>\"Scrooge's character contrasts sharply with the joy of Christmas, highlighting his disdain for the festive season.\"<|>\"contrast, seasonal significance\"<|>7)##\n(\"content_keywords\"<|>\"festivity, mourning, companionship, Christmas spirit\")<|COMPLETE|>", + "634f685c0c2c226df03cfd9c92ac5482": { + "return": "(\"entity\"<|>\"Scrooge\"<|>\"person\"<|>\"Scrooge is a character who is confronted by the ghost of his former partner, Jacob Marley, and is warned of the consequences of his actions and the visits from three spirits.\")##\n(\"entity\"<|>\"Jacob Marley\"<|>\"person\"<|>\"Jacob Marley is the ghost of Scrooge's former partner, who appears to warn Scrooge about his fate and the need for change in his life.\")##\n(\"entity\"<|>\"The Ghost\"<|>\"event\"<|>\"The Ghost represents the specter of Jacob Marley, who visits Scrooge to deliver an important message regarding his life and the impending visits of three spirits.\")##\n(\"entity\"<|>\"The Three Spirits\"<|>\"event\"<|>\"The Three Spirits are the apparitions that Jacob Marley warns Scrooge about, who will visit him to guide him toward redemption.\")##\n(\"entity\"<|>\"The Phantom Voices\"<|>\"event\"<|>\"The Phantom Voices refer to the sorrowful sounds of lamentation that Scrooge hears as the apparitions wander, representing lost opportunities and regret.\")##\n(\"relationship\"<|>\"Scrooge\"<|>\"Jacob Marley\"<|>\"Scrooge is visited by Jacob Marley, who warns him about his fate and the necessity for personal change to avoid a bleak future.\"<|>\"warning, consequence\"<|>9)##\n(\"relationship\"<|>\"Jacob Marley\"<|>\"The Three Spirits\"<|>\"Jacob Marley indicates that Scrooge will be visited by The Three Spirits to offer him guidance and the chance for redemption.\"<|>\"guidance, redemption\"<|>8)##\n(\"relationship\"<|>\"Scrooge\"<|>\"The Ghost\"<|>\"Scrooge interacts with The Ghost of Jacob Marley, which highlights his struggle with the supernatural and his past actions.\"<|>\"supernatural interaction, past actions\"<|>7)##\n(\"relationship\"<|>\"Scrooge\"<|>\"The Phantom Voices\"<|>\"Scrooge hears the lamentations of The Phantom Voices, reflecting his connection to the spirits of the lost and the consequences of his life choices.\"<|>\"regret, lost opportunities\"<|>6)##\n(\"content_keywords\"<|>\"redemption, guidance, regret, supernatural\")<|COMPLETE|>", "model": "gpt-4o-mini" }, - "b6d217776b520bf85bf936916835d0b1": { - "return": "(\"entity\"<|>\"Scrooge\"<|>\"person\"<|>\"Scrooge is a character who appears to have a complex relationship with his past, showing a mix of longing and resentment as he encounters the Spirit.\")##\n(\"entity\"<|>\"Ghost of Christmas Past\"<|>\"event\"<|>\"The Ghost of Christmas Past is a supernatural entity that aids Scrooge in reflecting on his past experiences and emotions.\")##\n(\"entity\"<|>\"The City\"<|>\"geo\"<|>\"The City, from which Scrooge is transported, represents his past life and is contrasted with the open country road that signifies his memories.\")##\n(\"entity\"<|>\"Market-Town\"<|>\"geo\"<|>\"The Market-Town is a nostalgic location from Scrooge's youth, evoking memories and emotions tied to his childhood.\")##\n(\"relationship\"<|>\"Scrooge\"<|>\"Ghost of Christmas Past\"<|>\"Scrooge engages with the Ghost of Christmas Past to explore his earlier life, seeking insight into his current state.\"<|>\"reflection, past influence\"<|>8)##\n(\"relationship\"<|>\"Scrooge\"<|>\"Market-Town\"<|>\"Scrooge recognizes the Market-Town, eliciting fond memories from his childhood and emphasizing his emotional response to the past.\"<|>\"nostalgia, memory\"<|>7)##\n(\"relationship\"<|>\"Ghost of Christmas Past\"<|>\"The City\"<|>\"The Ghost of Christmas Past helps transport Scrooge from The City to a memory of his past, highlighting the contrast between present and memory.\"<|>\"transportation, memory\"<|>6)##\n(\"relationship\"<|>\"Scrooge\"<|>\"The City\"<|>\"Scrooge's relationship with The City is marked by detachment, representing his lost connection to his past self and experiences.\"<|>\"disconnection, personal evolution\"<|>5)##\n(\"content_keywords\"<|>\"reflection, nostalgia, personal evolution, memory\")<|COMPLETE|>", + "427f3f0888e677aa2216716b8b911c69": { + "return": "(\"entity\"<|>\"Scrooge\"<|>\"person\"<|>\"Scrooge is a character who experiences a transformation through memories of his past, showing deep emotional vulnerability and a nostalgic connection to Christmas.\")##\n(\"entity\"<|>\"Ali Baba\"<|>\"person\"<|>\"Ali Baba is a character from a story recalled by Scrooge, representing memories of adventure and kindness during Christmas.\")##\n(\"entity\"<|>\"Valentine\"<|>\"person\"<|>\"Valentine is mentioned as a character associated with Scrooge's childhood memories, indicating the depth of his nostalgia.\")##\n(\"entity\"<|>\"Orson\"<|>\"person\"<|>\"Orson, the wild brother of Valentine, is another figure from Scrooge's past, representing familial connections and memories.\")##\n(\"entity\"<|>\"Christmas\"<|>\"event\"<|>\"Christmas is depicted as a significant time of emotional reflection for Scrooge, impacting his character development and memories.\")##\n(\"entity\"<|>\"The Spirit\"<|>\"organization\"<|>\"The Spirit refers to a ghostly figure guiding Scrooge through his memories, playing a vital role in his transformation.\")##\n(\"relationship\"<|>\"Scrooge\"<|>\"The Spirit\"<|>\"The Spirit guides Scrooge through his memories, facilitating his emotional journey and transformation.\"<|>\"guidance, transformation\"<|>9)##\n(\"relationship\"<|>\"Scrooge\"<|>\"Christmas\"<|>\"Scrooge reflects on Christmas with a mix of emotions, highlighting its importance in his life and character arc.\"<|>\"nostalgia, reflection\"<|>8)##\n(\"relationship\"<|>\"Scrooge\"<|>\"Ali Baba\"<|>\"Scrooge recalls Ali Baba fondly, indicating a positive association with adventurers and kindness during Christmas.\"<|>\"memory, kindness\"<|>7)##\n(\"relationship\"<|>\"Scrooge\"<|>\"Valentine\"<|>\"Scrooge's memory of Valentine and Orson illustrates the childhood connections that shape his sentiments during Christmas.\"<|>\"childhood, sentiment\"<|>6)##\n(\"relationship\"<|>\"Orson\"<|>\"Valentine\"<|>\"Orson and Valentine are brothers in the stories remembered by Scrooge, representing familial bonds in his past.\"<|>\"family, nostalgia\"<|>8)##\n(\"content_keywords\"<|>\"nostalgia, transformation, Christmas, emotional reflection\")<|COMPLETE|>", + "model": "gpt-4o-mini" + }, + "cc95e0e21f91f9d1b6f767e6b0166221": { + "return": "(\"entity\"<|>\"Scrooge\"<|>\"person\"<|>\"Scrooge is a character who interacts with a ghost, reflecting on his past decisions and their moral implications.\")##\n(\"entity\"<|>\"Ghost\"<|>\"person\"<|>\"The Ghost is the spirit of Jacob Marley, who expresses remorse for his life and warns Scrooge about the consequences of ignoring his moral duties.\")##\n(\"entity\"<|>\"Jacob Marley\"<|>\"person\"<|>\"Jacob Marley is the deceased business partner of Scrooge, whose ghost visits him to convey a message about the importance of charity and kindness.\")##\n(\"entity\"<|>\"Christmas Eves\"<|>\"event\"<|>\"Christmas Eves refer to the time periods associated with the spirits' visits, specifically connecting to themes of reflection and redemption during the festive season.\")##\n(\"entity\"<|>\"Mankind\"<|>\"concept\"<|>\"Mankind is referenced as a significant concern that should have been the focus of Scrooge's life, highlighting the importance of universal compassion and care.\")##\n(\"relationship\"<|>\"Scrooge\"<|>\"Ghost\"<|>\"Scrooge interacts directly with the Ghost, who aims to teach him about the errors of his ways and the importance of caring for others.\"<|>\"moral lesson, reflection\"<|>9)##\n(\"relationship\"<|>\"Ghost\"<|>\"Jacob Marley\"<|>\"The Ghost is revealed to be Jacob Marley, who embodies the regret of a wasted life and the importance of personal responsibility.\"<|>\"identity, remorse\"<|>10)##\n(\"relationship\"<|>\"Scrooge\"<|>\"Jacob Marley\"<|>\"Scrooge acknowledges Jacob Marley, recognizing his former business partner's lost opportunities and the implications for his own life.\"<|>\"self-reflection, legacy\"<|>8)##\n(\"relationship\"<|>\"Ghost\"<|>\"Mankind\"<|>\"The Ghost emphasizes that Mankind was his true business in life, urging Scrooge to focus on the welfare of others.\"<|>\"moral duty, call to action\"<|>9)##\n(\"relationship\"<|>\"Scrooge\"<|>\"Christmas Eves\"<|>\"Christmas Eves symbolize a critical time for self-reflection and understanding one's past decisions, linking to Scrooge's journey of redemption.\"<|>\"time of reflection, redemption\"<|>7)##\n(\"content_keywords\"<|>\"reflection, redemption, morality, compassion, responsibility\")<|COMPLETE|>", + "model": "gpt-4o-mini" + }, + "fe9aaca3a0fa3a437655b0148e15b0c1": { + "return": "(\"entity\"<|>\"Scrooge\"<|>\"person\"<|>\"Scrooge is a miserly character who expresses disdain for Christmas and refuses to embrace its spirit, highlighting his cold demeanor.\")##\n(\"entity\"<|>\"Scrooge's Nephew\"<|>\"person\"<|>\"Scrooge's Nephew is portrayed as warm-hearted and attempts to engage his uncle in the spirit of Christmas, despite Scrooge's rebuff.\")##\n(\"entity\"<|>\"Marley\"<|>\"person\"<|>\"Marley is Scrooge's deceased business partner, whose death is mentioned as impactful, having passed seven years prior to the events in the text.\")##\n(\"entity\"<|>\"Scrooge and Marley's\"<|>\"organization\"<|>\"Scrooge and Marley's is the name of the business run by Scrooge, signifying a partnership that existed before Marley’s death.\")##\n(\"entity\"<|>\"Christmas\"<|>\"event\"<|>\"Christmas is depicted as a festive season that Scrooge contests, representing themes of generosity and good will that he refuses to acknowledge.\")##\n(\"relationship\"<|>\"Scrooge\"<|>\"Scrooge's Nephew\"<|>\"Scrooge's Nephew attempts to encourage Scrooge to embrace Christmas and reconcile despite Scrooge's insistence on maintaining his disdain.\" <|>\"family dynamics, holiday spirit\"<|>8)##\n(\"relationship\"<|>\"Scrooge\"<|>\"Marley\"<|>\"Scrooge reflects on Marley's death, indicating the profound effect it had on his life, shaping his current perspective on generosity and the holidays.\" <|>\"past influence, regret\"<|>7)##\n(\"relationship\"<|>\"Scrooge's Nephew\"<|>\"Christmas\"<|>\"Scrooge's Nephew associates Christmas with goodwill and joy, which he tries to instill in Scrooge through their conversation.\" <|>\"celebration, contrasting views\"<|>9)##\n(\"relationship\"<|>\"Scrooge and Marley's\"<|>\"Marley\"<|>\"Scrooge and Marley's is the business associated with Marley, emphasizing its history and the weight of Marley's legacy in shaping Scrooge's character.\" <|>\"partnership, legacy\"<|>6)##\n(\"content_keywords\"<|>\"Christmas, family dynamics, legacy, festive spirit\")<|COMPLETE|>", + "model": "gpt-4o-mini" + }, + "fb5cc30455a081e6a6571a0627c00c7d": { + "return": "(\"entity\"<|>\"Scrooge\"<|>\"person\"<|>\"Scrooge is a character who is portrayed as miserly and indifferent to the plight of the poor, showing a strong reluctance to engage in charitable acts.\")##\n(\"entity\"<|>\"The Gentleman\"<|>\"person\"<|>\"The Gentleman is a character attempting to persuade Scrooge to contribute to charity for the poor during Christmas.\")##\n(\"entity\"<|>\"The Poor Law\"<|>\"organization\"<|>\"The Poor Law refers to a governmental system in place intended to support the impoverished, which Scrooge references to indicate his views on responsibility and charity.\")##\n(\"entity\"<|>\"The Union Workhouses\"<|>\"organization\"<|>\"The Union Workhouses are facilities that provide aid to the poor, still operational as confirmed by the Gentleman during the discussion with Scrooge.\")##\n(\"entity\"<|>\"Christmas\"<|>\"event\"<|>\"Christmas is a festive season during which the narrative emphasizes themes of charity and social responsibility, contrasting with Scrooge's views.\")##\n(\"entity\"<|>\"The Mansion House\"<|>\"location\"<|>\"The Mansion House is the official residence of the Lord Mayor, where festive preparations for Christmas are being made.\")##\n(\"relationship\"<|>\"Scrooge\"<|>\"The Gentleman\"<|>\"Scrooge and the Gentleman engage in a discussion about the responsibilities to the poor, underlining Scrooge's disdain for charitable contributions.\"<|>\"charity, social responsibility\"<|>8)##\n(\"relationship\"<|>\"The Gentleman\"<|>\"The Poor Law\"<|>\"The Gentleman references the Poor Law as part of his argument for helping the needy, illustrating systemic support for the impoverished.\"<|>\"charity, systemic support\"<|>6)##\n(\"relationship\"<|>\"The Poor Law\"<|>\"The Union Workhouses\"<|>\"The Poor Law and Union Workhouses are connected as they both serve as mechanisms for helping the poor, albeit with differing implications for charity.\"<|>\"support mechanisms, charity\"<|>7)##\n(\"relationship\"<|>\"Scrooge\"<|>\"Christmas\"<|>\"Scrooge's refusal to celebrate Christmas reflects his overall attitude towards generosity and societal obligations during this festive time.\"<|>\"holiday spirit, social critique\"<|>9)##\n(\"relationship\"<|>\"The Lady Mayor\"<|>\"The Mansion House\"<|>\"The Lady Mayor prepares for Christmas festivities at the Mansion House, highlighting the importance of the event to the community.\"<|>\"holiday preparations, community significance\"<|>8)##\n(\"content_keywords\"<|>\"charity, social responsibility, Christmas, poverty\")<|COMPLETE|>", "model": "gpt-4o-mini" }, "2b05f17e6e7f73aa7dc5f2c4d1ef948c": { - "return": "(\"entity\"<|>\"Ebenezer\"<|>\"person\"<|>\"Ebenezer is a character who reflects on his past with fondness, remembering his former self and his connection to Dick Wilkins.\")##\n(\"entity\"<|>\"Dick Wilkins\"<|>\"person\"<|>\"Dick Wilkins is Ebenezer's fellow apprentice, with whom he shared a strong attachment during their youth.\")##\n(\"entity\"<|>\"Fezziwig\"<|>\"organization\"<|>\"Fezziwig is a figure representing a cheerful and jovial employer who organizes lively Christmas festivities for his employees.\")##\n(\"entity\"<|>\"Mrs. Fezziwig\"<|>\"person\"<|>\"Mrs. Fezziwig is the wife of Fezziwig, joining him in celebrations and dances, embodying warmth and partnership.\")##\n(\"entity\"<|>\"The Dance\"<|>\"event\"<|>\"The Dance organized by Fezziwig is a festive gathering involving various participants, showcasing joy and celebration during Christmas Eve.\")##\n(\"entity\"<|>\"Christmas Eve\"<|>\"event\"<|>\"Christmas Eve is the night before Christmas, serving as the backdrop for the lively celebrations and dances hosted by Fezziwig.\")##\n(\"relationship\"<|>\"Ebenezer\"<|>\"Dick Wilkins\"<|>\"Ebenezer reflects on his fond memories and attachment to Dick Wilkins from their days as apprentices.\"<|>\"nostalgia, apprenticeship\"<|>8)##\n(\"relationship\"<|>\"Fezziwig\"<|>\"The Dance\"<|>\"Fezziwig organizes The Dance, impacting the morale and enjoyment of his employees on Christmas Eve.\"<|>\"celebration, leadership\"<|>9)##\n(\"relationship\"<|>\"Mrs. Fezziwig\"<|>\"Fezziwig\"<|>\"Mrs. Fezziwig partners with Fezziwig in the festivities, highlighting their companionship during the celebrations.\"<|>\"partnership, celebration\"<|>8)##\n(\"relationship\"<|>\"The Dance\"<|>\"Christmas Eve\"<|>\"The Dance takes place on Christmas Eve, marking a significant festive event in the story.\"<|>\"festivity, holiday celebration\"<|>10)##\n(\"content_keywords\"<|>\"nostalgia, celebration, Christmas, companionship\")<|COMPLETE|>", + "return": "(\"entity\"<|>\"Ebenezer Scrooge\"<|>\"person\"<|>\"Ebenezer Scrooge is a central character known for his past connections and interactions, especially with Fezziwig and Dick Wilkins.\")##\n(\"entity\"<|>\"Dick Wilkins\"<|>\"person\"<|>\"Dick Wilkins is a former apprentice of Scrooge, remembered fondly for his attachment to Scrooge.\")##\n(\"entity\"<|>\"Fezziwig\"<|>\"organization\"<|>\"Fezziwig is the owner of a business where festive celebrations take place, known for his jovial character and ability to create a lively atmosphere.\")##\n(\"entity\"<|>\"Christmas Eve\"<|>\"event\"<|>\"Christmas Eve is a significant time in the story, marked by celebrations and gatherings led by Fezziwig.\")##\n(\"entity\"<|>\"Mrs. Fezziwig\"<|>\"person\"<|>\"Mrs. Fezziwig is noted for her smile and participation in the festivities, particularly in dancing with Fezziwig.\")##\n(\"entity\"<|>\"The Dancers\"<|>\"organization\"<|>\"The Dancers represent the lively group of people celebrating and participating in the festivities organized by Fezziwig.\")##\n(\"relationship\"<|>\"Ebenezer Scrooge\"<|>\"Dick Wilkins\"<|>\"Scrooge remembers Dick Wilkins fondly, showing a connection from their past as apprentices together.\"<|>\"nostalgia, past friendship\"<|>8)##\n(\"relationship\"<|>\"Fezziwig\"<|>\"Ebenezer Scrooge\"<|>\"Fezziwig created a memorable and joyful atmosphere for Scrooge and his fellow apprentices during the celebration.\"<|>\"mentorship, celebration\"<|>9)##\n(\"relationship\"<|>\"Fezziwig\"<|>\"Christmas Eve\"<|>\"Fezziwig's celebrations take place on Christmas Eve, highlighting the special significance of this event.\"<|>\"event significance, festivity\"<|>10)##\n(\"relationship\"<|>\"Mrs. Fezziwig\"<|>\"Fezziwig\"<|>\"Mrs. Fezziwig participates in the festivities alongside her husband, enhancing the joyful environment.\"<|>\"partnership, celebration\"<|>8)##\n(\"relationship\"<|>\"Fezziwig\"<|>\"The Dancers\"<|>\"The Dancers participate in the lively celebrations orchestrated by Fezziwig, showcasing the joyous atmosphere of the event.\"<|>\"celebration, community\"<|>9)##\n(\"content_keywords\"<|>\"celebration, nostalgia, community, mentorship\")<|COMPLETE|>", "model": "gpt-4o-mini" }, - "cc95e0e21f91f9d1b6f767e6b0166221": { - "return": "(\"entity\"<|>\"Scrooge\"<|>\"person\"<|>\"Scrooge is a character who engages in a profound conversation with a ghost about the nature of existence and remorse, showcasing his struggle with his past actions.\")##\n(\"entity\"<|>\"Jacob Marley\"<|>\"person\"<|>\"Jacob Marley is the ghost of Scrooge's former business partner, who seeks to impart a lesson about the consequences of a life lived without compassion or connection to humanity.\")##\n(\"entity\"<|>\"The Ghost\"<|>\"event\"<|>\"The Ghost represents the spirit of Jacob Marley, warning Scrooge about the aftereffects of neglecting human virtue and kindness during life.\")##\n(\"entity\"<|>\"Mankind\"<|>\"concept\"<|>\"Mankind signifies the broader human community, which Marley claims should be the focus of compassionate effort rather than mere business pursuits.\")##\n(\"entity\"<|>\"Business\"<|>\"concept\"<|>\"Business refers to the practices of trade and commerce that Marley criticizes for overshadowing more significant moral duties like benevolence and charity.\")##\n(\"relationship\"<|>\"Scrooge\"<|>\"Jacob Marley\"<|>\"Scrooge converses with the ghost of Jacob Marley, who tries to guide him toward understanding the importance of compassion and the consequences of his actions.\"<|>\"redemption, moral lesson\"<|>9)##\n(\"relationship\"<|>\"Jacob Marley\"<|>\"The Ghost\"<|>\"Jacob Marley is embodied by The Ghost, which serves to relay messages about regret and the imperative of kindness to Scrooge.\"<|>\"spiritual guidance, past connections\"<|>8)##\n(\"relationship\"<|>\"Scrooge\"<|>\"Mankind\"<|>\"Scrooge's actions and neglect of mankind are highlighted in Marley's admonitions, emphasizing the need for connection and care for others.\"<|>\"moral responsibility, social awareness\"<|>7)##\n(\"relationship\"<|>\"Jacob Marley\"<|>\"Business\"<|>\"Marley critiques Scrooge's concern for business over the well-being of mankind, highlighting a contrast between economic pursuits and ethical obligations.\"<|>\"critique of materialism, ethical duty\"<|>8)##\n(\"content_keywords\"<|>\"redemption, human connection, moral lesson, consequences of actions\")<|COMPLETE|>", + "95e3e9ed4ebba90196292e83422ede45": { + "return": "(\"entity\"<|>\"Fezziwig\"<|>\"person\"<|>\"Fezziwig is a character known for hosting a domestic ball that brings joy and merriment to the participants, showcasing his ability to create happiness.\")##\n(\"entity\"<|>\"Mrs. Fezziwig\"<|>\"person\"<|>\"Mrs. Fezziwig partners with Fezziwig in hosting the domestic ball, contributing to the warmth and cheer of the event.\")##\n(\"entity\"<|>\"Scrooge\"<|>\"person\"<|>\"Scrooge is a central character who observes the joyful scenes of the past, reflecting on his own life choices with agitation and regret.\")##\n(\"entity\"<|>\"Dick\"<|>\"person\"<|>\"Dick is associated with Scrooge's former self, evoking nostalgic memories as Scrooge witnesses the past.\")##\n(\"entity\"<|>\"The Ghost of Christmas Past\"<|>\"event\"<|>\"The Ghost of Christmas Past is a supernatural entity that allows Scrooge to revisit and reflect on his previous life experiences.\")##\n(\"entity\"<|>\"The Domestic Ball\"<|>\"event\"<|>\"The Domestic Ball represents a joyful gathering, fostering a sense of community and happiness among the participants.\")##\n(\"relationship\"<|>\"Fezziwig\"<|>\"Mrs. Fezziwig\"<|>\"Fezziwig and Mrs. Fezziwig work together to create a joyful atmosphere at the Domestic Ball, emphasizing their partnership in celebration.\"<|>\"partnership, celebration\"<|>8)##\n(\"relationship\"<|>\"Scrooge\"<|>\"The Ghost of Christmas Past\"<|>\"Scrooge's interaction with the Ghost of Christmas Past highlights his journey of self-reflection and struggle with his past decisions.\"<|>\"self-reflection, guidance\"<|>9)##\n(\"relationship\"<|>\"Scrooge\"<|>\"Fezziwig\"<|>\"Scrooge reminisces about Fezziwig's ball, reflecting on the contrast between his past happiness and present isolation.\"<|>\"nostalgia, contrast\"<|>10)##\n(\"relationship\"<|>\"Fezziwig\"<|>\"The Domestic Ball\"<|>\"Fezziwig is the host of The Domestic Ball, an event that symbolizes joy and community.\" <|>\"celebration, joy\"<|>9)##\n(\"relationship\"<|>\"Scrooge\"<|>\"Dick\"<|>\"Scrooge's memories of Dick evoke a sense of nostalgia and reflection on the changes in his life and their friendship.\"<|>\"nostalgia, friendship\"<|>7)##\n(\"content_keywords\"<|>\"nostalgia, happiness, reflection, celebration\")<|COMPLETE|>", + "model": "gpt-4o-mini" + }, + "6abaeba2769933c3d9f1bf8dd66f0db8": { + "return": "(\"entity\"<|>\"Scrooge\"<|>\"person\"<|>\"Scrooge is a character who exhibits a miserly attitude, showing detachment and indifference towards the festive spirit of Christmas.\")##\n(\"entity\"<|>\"Bob Cratchit\"<|>\"person\"<|>\"Bob Cratchit is Scrooge's clerk, who demonstrates a contrasting warmth and joy during Christmas, despite his low wages.\")##\n(\"entity\"<|>\"Christmas Eve\"<|>\"event\"<|>\"Christmas Eve is the day prior to Christmas, a time that carries festive significance and anticipation in the narrative.\")##\n(\"entity\"<|>\"Camden Town\"<|>\"geo\"<|>\"Camden Town is a location mentioned as Bob Cratchit's home, highlighting the setting of his personal life.\")##\n(\"entity\"<|>\"Marley\"<|>\"person\"<|>\"Marley is Scrooge's deceased business partner whose presence looms over the story, symbolizing the consequences of a life similar to Scrooge's.\")##\n(\"entity\"<|>\"The Counting-House\"<|>\"organization\"<|>\"The Counting-House is the place where Scrooge works, reflecting a business environment lacking warmth or joy.\")##\n(\"relationship\"<|>\"Scrooge\"<|>\"Bob Cratchit\"<|>\"Scrooge is Bob Cratchit's employer, representing a stark divide between their characters, with Scrooge's miserly nature contrasting with Bob's kindness.\"<|>\"employer-employee relationship, contrasting values\"<|>7)##\n(\"relationship\"<|>\"Scrooge\"<|>\"Christmas Eve\"<|>\"Scrooge's actions and attitudes towards Christmas Eve highlight his disdain for traditional celebrations, setting the tone for his character arc.\"<|>\"holiday spirit, character development\"<|>8)##\n(\"relationship\"<|>\"Bob Cratchit\"<|>\"Christmas Eve\"<|>\"Bob Cratchit celebrates Christmas Eve with joy and innocence, showcasing the festive spirit that Scrooge rejects.\"<|>\"festive spirit, contrasting perspectives\"<|>8)##\n(\"relationship\"<|>\"Scrooge\"<|>\"Marley\"<|>\"Scrooge's reflection on Marley underscores the theme of regret and the potential for change in his character's journey.\"<|>\"reflection, theme of regret\"<|>9)##\n(\"relationship\"<|>\"Scrooge\"<|>\"The Counting-House\"<|>\"The Counting-House represents Scrooge's work environment, which is devoid of warmth, paralleling Scrooge's cold demeanor.\"<|>\"work environment, emotional landscape\"<|>6)##\n(\"content_keywords\"<|>\"miserliness, festive spirit, Christmas Eve, contrasting values\")<|COMPLETE|>", + "model": "gpt-4o-mini" + }, + "4498cd83d1404d5f1a79e9d76791f24a": { + "return": "(\"entity\"<|>\"Fezziwig\"<|>\"person\"<|>\"Fezziwig is a joyful and lively character who dances with Mrs. Fezziwig, embodying the festive spirit of Christmas.\")##\n(\"entity\"<|>\"Scrooge\"<|>\"person\"<|>\"Scrooge is a tight-fisted and solitary old man, characterized by his greed and lack of compassion for others.\")##\n(\"entity\"<|>\"Marley\"<|>\"person\"<|>\"Marley is Scrooge's deceased business partner, whose death is a significant event that sets the tone for the story.\")##\n(\"entity\"<|>\"Fred\"<|>\"person\"<|>\"Fred is Scrooge's nephew, who invites Scrooge to dinner, emphasizing familial connections and the spirit of Christmas.\")##\n(\"entity\"<|>\"Christmas\"<|>\"event\"<|>\"Christmas represents a time of joy and giving, contrasting sharply with Scrooge's cold demeanor.\")##\n(\"entity\"<|>\"The Warehouse\"<|>\"organization\"<|>\"The Warehouse is the place of business shared by Scrooge and Marley, a symbol of their partnership in life and business.\")##\n(\"relationship\"<|>\"Fezziwig\"<|>\"Scrooge\"<|>\"Fezziwig represents the joyful side of business and celebration, contrasting with Scrooge's miserly nature and serving as a foil to Scrooge's character development.\"<|>\"contrast, character foil\"<|>8)##\n(\"relationship\"<|>\"Scrooge\"<|>\"Marley\"<|>\"Scrooge and Marley were business partners, and Marley's death greatly impacts Scrooge, highlighting themes of loss and regret.\"<|>\"partnership, regret\"<|>9)##\n(\"relationship\"<|>\"Scrooge\"<|>\"Fred\"<|>\"Fred attempts to reach out to Scrooge for family connections, representing the warmth of familial love against Scrooge's coldness.\"<|>\"family ties, contrast\"<|>7)##\n(\"relationship\"<|>\"Scrooge\"<|>\"Christmas\"<|>\"Scrooge's attitude towards Christmas is one of disdain, setting the stage for his eventual transformation as he confronts the meaning of the holiday.\"<|>\"transformation, disdain\"<|>10)##\n(\"relationship\"<|>\"Scrooge\"<|>\"The Warehouse\"<|>\"The Warehouse symbolizes Scrooge's business practices and his partnership with Marley, shaping his character's motivations.\"<|>\"business partnership, character motivation\"<|>8)##\n(\"content_keywords\"<|>\"transformation, Christmas spirit, greed, familial connections\")<|COMPLETE|>", "model": "gpt-4o-mini" }, "371f793d5f1464f976f67054a62f95be": { - "return": "(\"entity\"<|>\"Scrooge\"<|>\"person\"<|>\"Scrooge is a central character who reflects on his past and is visited by a Ghost, indicating a journey of self-discovery and redemption.\")## \n(\"entity\"<|>\"Ghost\"<|>\"person\"<|>\"The Ghost serves as a supernatural guide for Scrooge, prompting him to reflect on his life and choices.\")## \n(\"entity\"<|>\"Little Fan\"<|>\"person\"<|>\"Little Fan is Scrooge's sister, who brings joy and an invitation to come home, representing innocence and familial love.\")## \n(\"entity\"<|>\"Fezziwig\"<|>\"person\"<|>\"Fezziwig is a jovial figure from Scrooge's past, known for his kind-heartedness and as a former employer who embodies the spirit of Christmas.\")## \n(\"entity\"<|>\"Dick Wilkins\"<|>\"person\"<|>\"Dick Wilkins is Scrooge's fellow apprentice and close companion during his younger years, indicating camaraderie during their apprenticeship.\")## \n(\"entity\"<|>\"Christmas-time\"<|>\"event\"<|>\"Christmas-time represents the festive season, a recurring theme that evokes memories and emotions in Scrooge’s reflections.\")## \n(\"relationship\"<|>\"Scrooge\"<|>\"Ghost\"<|>\"The Ghost guides Scrooge through reflections of his past, influencing his journey toward redemption.\"<|>\"reflection, self-discovery\"<|>8)## \n(\"relationship\"<|>\"Scrooge\"<|>\"Little Fan\"<|>\"Little Fan's joyful visit emphasizes family love and the nostalgic warmth of childhood memories for Scrooge.\"<|>\"family, nostalgia\"<|>9)## \n(\"relationship\"<|>\"Scrooge\"<|>\"Fezziwig\"<|>\"Scrooge reminisces about Fezziwig's kindness during his apprenticeship, comparing his past self to his current state.\"<|>\"kindness, mentorship\"<|>8)## \n(\"relationship\"<|>\"Scrooge\"<|>\"Dick Wilkins\"<|>\"Scrooge recalls his friendship with Dick Wilkins, highlighting the connections of youth and support during their apprenticeship.\"<|>\"friendship, apprenticeship\"<|>7)## \n(\"content_keywords\"<|>\"reflection, redemption, family ties, Christmas spirit, nostalgia\")<|COMPLETE|>", + "return": "(\"entity\"<|>\"Scrooge\"<|>\"person\"<|>\"Scrooge is a central character who experiences a journey of reflection and change, highlighted by his interactions with the Ghost and memories of his past.\")##\n(\"entity\"<|>\"Fan\"<|>\"person\"<|>\"Fan is Scrooge's younger sister, who brings joy and the promise of a happier home, reflecting on their childhood relationship.\")##\n(\"entity\"<|>\"Fezziwig\"<|>\"person\"<|>\"Fezziwig is presented as Scrooge's former employer, known for his jovial nature and generous spirit, who plays a significant role in Scrooge's memories.\")##\n(\"entity\"<|>\"Dick Wilkins\"<|>\"person\"<|>\"Dick Wilkins is Scrooge's fellow apprentice, associated with Scrooge's past and the context of his earlier, more carefree life.\")##\n(\"entity\"<|>\"Christmas-time\"<|>\"event\"<|>\"Christmas-time symbolizes a period of joy and reunion, characterized by scenes of celebration and warmth in the story.\")##\n(\"entity\"<|>\"The City\"<|>\"geo\"<|>\"The City represents the bustling urban environment where Scrooge's memories unfold, highlighting the contrast between his past and present.\")##\n(\"relationship\"<|>\"Scrooge\"<|>\"Fan\"<|>\"Scrooge and Fan share a sibling bond, with Fan representing innocence and happiness from their childhood, which evokes fond memories for Scrooge.\"<|>\"sibling bond, nostalgia\"<|>8)##\n(\"relationship\"<|>\"Scrooge\"<|>\"Fezziwig\"<|>\"Fezziwig is a significant figure in Scrooge's past, illustrating a contrast between Scrooge's current miserly demeanor and Fezziwig's jovial nature.\"<|>\"mentor figure, positive influence\"<|>9)##\n(\"relationship\"<|>\"Fezziwig\"<|>\"Dick Wilkins\"<|>\"Fezziwig and Dick Wilkins are connected through their roles in Scrooge's past, representing camaraderie and joyful experiences at work.\"<|>\"apprenticeship, camaraderie\"<|>7)##\n(\"relationship\"<|>\"Scrooge\"<|>\"Dick Wilkins\"<|>\"Scrooge and Dick Wilkins share memories of their apprenticeship, highlighting Scrooge's transformation from a young man to his current state.\"<|>\"shared history, transformation\"<|>7)##\n(\"relationship\"<|>\"Scrooge\"<|>\"Christmas-time\"<|>\"Scrooge's experiences during Christmas-time reflect his internal struggles and the possibility of redemption and joy.\"<|>\"redemption, celebration\"<|>10)##\n(\"relationship\"<|>\"Scrooge\"<|>\"The City\"<|>\"The City serves as a backdrop for Scrooge's memories, contrasting the vibrant life he once had with his current isolation.\"<|>\"urban setting, contrast\"<|>8)##\n(\"content_keywords\"<|>\"nostalgia, transformation, redemption, family, memory\")<|COMPLETE|>", "model": "gpt-4o-mini" }, - "634f685c0c2c226df03cfd9c92ac5482": { - "return": "(\"entity\"<|>\"Scrooge\"<|>\"person\"<|>\"Scrooge is a central character in the story, facing his own mortality and the consequences of his past actions through the visits of spirits.\")##\n(\"entity\"<|>\"Marley's Ghost\"<|>\"person\"<|>\"Marley's Ghost is a spectral figure who appears to Scrooge to warn him of the impending visits from three spirits, representing remorse for his past deeds.\")##\n(\"entity\"<|>\"The Three Spirits\"<|>\"event\"<|>\"The Three Spirits refer to the supernatural beings that are prophesied to visit Scrooge, each representing different aspects of time and morality.\")##\n(\"entity\"<|>\"The Invisible World\"<|>\"concept\"<|>\"The Invisible World refers to the realm of spirits and supernatural influences that Scrooge glimpses during his encounter with Marley's Ghost.\")##\n(\"entity\"<|>\"The Clock\"<|>\"technology\"<|>\"The Clock is mentioned as malfunctioning, which symbolizes the confusion and distortion of time that Scrooge experiences during his nighttime visitations.\")##\n(\"relationship\"<|>\"Scrooge\"<|>\"Marley's Ghost\"<|>\"Marley's Ghost warns Scrooge about the consequences of his actions and the visits of the three spirits, setting the stage for his transformation.\"<|>\"warning, fate\"<|>8)##\n(\"relationship\"<|>\"Scrooge\"<|>\"The Three Spirits\"<|>\"Scrooge is directly involved in the narrative concerning the Three Spirits who are meant to guide him toward redemption.\"<|>\"redemption, transformation\"<|>9)##\n(\"relationship\"<|>\"Marley's Ghost\"<|>\"The Invisible World\"<|>\"Marley's Ghost illustrates the existence of the Invisible World and its impact on human lives as he warns Scrooge about his fate.\"<|>\"supernatural, morality\"<|>7)##\n(\"relationship\"<|>\"Scrooge\"<|>\"The Clock\"<|>\"Scrooge's interaction with the faulty clock symbolizes his disconnection from time and reality, as he struggles to comprehend his experiences.\"<|>\"time distortion, confusion\"<|>6)##\n(\"content_keywords\"<|>\"morality, redemption, supernatural, time distortion\")<|COMPLETE|>", + "6e7abc6cb791cadb58d046d26a7e09bd": { + "return": "(\"entity\"<|>\"The Chain\"<|>\"concept\"<|>\"The Chain represents the burdens of greed and the consequences of one's actions, worn by Marley's Ghost as a physical manifestation of his regrets.\")## \n(\"entity\"<|>\"The Heavy Door\"<|>\"concept\"<|>\"The Heavy Door symbolizes the threshold between life and death, as well as the barriers between Scrooge and the supernatural world.\")## \n(\"entity\"<|>\"The Dying Flame\"<|>\"event\"<|>\"The Dying Flame signifies the waning spirit of Scrooge, momentarily invigorated by the arrival of the ghost as a metaphor for his fading humanity.\")## \n(\"entity\"<|>\"The Spectre\"<|>\"concept\"<|>\"The Spectre refers to the ghostly presence of Marley that embodies the themes of haunting and reflection on one's life choices.\")## \n(\"entity\"<|>\"Infernal Atmosphere\"<|>\"concept\"<|>\"The Infernal Atmosphere refers to the unsettling environment surrounding Marley's Ghost, indicating the discomfort and fear associated with his presence.\")## \n(\"entity\"<|>\"The Chair\"<|>\"concept\"<|>\"The Chair represents the symbol of comfort and safety that Scrooge clings to while facing the terrifying apparition.\")## \n(\"entity\"<|>\"The Vision\"<|>\"concept\"<|>\"The Vision refers to the haunting imagery that Scrooge perceives, reflecting his inner turmoil and conflict with reality.\")## \n(\"entity\"<|>\"The Bandage\"<|>\"concept\"<|>\"The Bandage represents the ghost's attempt to maintain semblance in his appearance while revealing his true ghostly form.\")## \n(\"content_keywords\"<|>\"burdens, reality, fear, haunting\")<|COMPLETE|>", "model": "gpt-4o-mini" }, - "6abaeba2769933c3d9f1bf8dd66f0db8": { - "return": "(\"entity\"<|>\"Scrooge\"<|>\"person\"<|>\"Scrooge is a central character who is portrayed as miserly and unyielding, exhibiting a lack of consideration for others and a deep sense of melancholy.\")##\n(\"entity\"<|>\"Bob Cratchit\"<|>\"person\"<|>\"Bob Cratchit is Scrooge's clerk, who demonstrates a sense of hope and joy, particularly highlighted during Christmas Eve.\")##\n(\"entity\"<|>\"Marley\"<|>\"person\"<|>\"Marley is Scrooge's deceased business partner, whose spectral presence looms over Scrooge, evoking themes of regret and the supernatural.\")##\n(\"entity\"<|>\"Christmas Eve\"<|>\"event\"<|>\"Christmas Eve is depicted as a significant time, bringing about joyful activities like sliding down snow hills, contrasting with Scrooge's dour demeanor.\")##\n(\"entity\"<|>\"London\"<|>\"geo\"<|>\"London serves as the geographical setting for the story, encapsulating the harsh winter atmosphere and the life of its inhabitants during the festive season.\")##\n(\"relationship\"<|>\"Scrooge\"<|>\"Bob Cratchit\"<|>\"Scrooge is the employer of Bob Cratchit, demonstrating a power dynamic characterized by Scrooge's harsh treatment and Bob's subservient role.\"<|>\"employment, power dynamic\"<|>6)##\n(\"relationship\"<|>\"Scrooge\"<|>\"Marley\"<|>\"Scrooge reflects on Marley, revealing his past connection and the haunting aspect of Marley's death, which influences Scrooge's character arc.\"<|>\"supernatural connection, past relationships\"<|>8)##\n(\"relationship\"<|>\"Bob Cratchit\"<|>\"Christmas Eve\"<|>\"Bob Cratchit embodies the joy of Christmas Eve while Scrooge's perspective starkly contrasts with Bob's happiness during the holiday season.\"<|>\"celebration, contrast\"<|>5)##\n(\"relationship\"<|>\"Scrooge\"<|>\"London\"<|>\"Scrooge's experiences reflect the larger context of life in London during the festive season, emphasizing the mood of the city at that time.\"<|>\"setting, seasonal context\"<|>7)##\n(\"content_keywords\"<|>\"miserliness, Christmas, supernatural, contrast between joy and melancholy\")<|COMPLETE|>", + "a12fea2b0950a92bbc46978364cb351b": { + "return": "(\"entity\"<|>\"Ebenezer Scrooge\"<|>\"person\"<|>\"Ebenezer Scrooge is the main character who experiences a profound transformation through his encounters with supernatural entities.\")##\n(\"entity\"<|>\"Holly\"<|>\"concept\"<|>\"Holly is a symbol held by The Ghost, representing peace and goodwill, contrasting with the cold wintry atmosphere around Scrooge.\")##\n(\"entity\"<|>\"Light\"<|>\"concept\"<|>\"Light is a prominent feature associated with The Ghost, symbolizing knowledge and revelation, illuminating the darkness of Scrooge's ignorance.\")##\n(\"entity\"<|>\"Winter\"<|>\"geo\"<|>\"Winter represents the cold and bleak environment that surrounds Scrooge during his nighttime encounters with the supernatural.\")##\n(\"entity\"<|>\"The Dressing-Gown\"<|>\"organization\"<|>\"The Dressing-Gown is worn by Scrooge, symbolizing his state of vulnerability and introspection as he grapples with profound ideas in the narrative.\")##\n(\"entity\"<|>\"Fog\"<|>\"geo\"<|>\"Fog represents the obscured visibility and confusion in Scrooge's surroundings, enhancing the atmosphere of uncertainty and apprehension.\")##\n(\"entity\"<|>\"Tunic\"<|>\"concept\"<|>\"The Tunic is part of The Ghost's attire, signifying purity and heavenly qualities in contrast to Scrooge's current state.\")##\n(\"entity\"<|>\"Bell\"<|>\"event\"<|>\"The Bell signifies the passage of time and is crucial in alerting Scrooge to the hour of visitation by The Ghost.\")##\n(\"entity\"<|>\"Clock's Strike\"<|>\"event\"<|>\"The Clock's Strike is an event marking significant moments throughout the narrative, emphasizing the theme of time.\")##\n(\"entity\"<|>\"Dream\"<|>\"concept\"<|>\"Dream refers to Scrooge's mental conflict regarding whether the spectral encounters are real or figments of his imagination.\")## \n(\"entity\"<|>\"Ding Dong\"<|>\"event\"<|>\"Ding Dong represents the sound of the clock chimes, anchoring the reader in time and emphasizing the moments of realization for Scrooge.\")##\n(\"entity\"<|>\"Time\"<|>\"concept\"<|>\"Time is a central theme, with characters reflecting on its passage and significance in relation to life and revelations.\")## \n(\"content_keywords\"<|>\"supernatural, transformation, time, light, confusion\")<|COMPLETE|>", "model": "gpt-4o-mini" }, - "fe9aaca3a0fa3a437655b0148e15b0c1": { - "return": "(\"entity\"<|>\"Scrooge\"<|>\"person\"<|>\"Scrooge is a miserly character who despises Christmas and is cynical about the holiday's significance.\")##\n(\"entity\"<|>\"Scrooge's Nephew\"<|>\"person\"<|>\"Scrooge's Nephew is portrayed as optimistic about Christmas, emphasizing its positive qualities despite Scrooge's negativity.\")##\n(\"entity\"<|>\"Mr. Marley\"<|>\"person\"<|>\"Mr. Marley is Scrooge's deceased business partner who died seven years ago, representing a connection to Scrooge's past and his current miserly outlook.\")##\n(\"entity\"<|>\"The Clerk\"<|>\"person\"<|>\"The Clerk is a subordinate to Scrooge who serves as a contrast to his boss's character, showing warmth and holiday spirit.\")##\n(\"entity\"<|>\"Liberty\"<|>\"event\"<|>\"The discussion around liberality represents a call to generosity and charity during the festive season, which Scrooge rebuffs.\")##\n(\"entity\"<|>\"Christmas\"<|>\"event\"<|>\"Christmas is central to the text, symbolizing generosity, charity, and warmth that Scrooge rejects.\")##\n(\"relationship\"<|>\"Scrooge\"<|>\"Scrooge's Nephew\"<|>\"Scrooge's Nephew tries to convince Scrooge of the joys of Christmas, illustrating the conflict between their differing views on the holiday.\"<|>\"family conflict, differing perspectives\"<|>8)##\n(\"relationship\"<|>\"Scrooge\"<|>\"Mr. Marley\"<|>\"Scrooge reflects on Mr. Marley's death, highlighting his isolation and connection to past values that he now rejects.\"<|>\"past connection, isolation\"<|>7)##\n(\"relationship\"<|>\"Scrooge\"<|>\"The Clerk\"<|>\"The Clerk represents the festive spirit of Christmas that Scrooge dismisses, showcasing Scrooge's coldness.\"<|>\"contrast in attitudes, workplace dynamics\"<|>6)##\n(\"relationship\"<|>\"Scrooge's Nephew\"<|>\"Christmas\"<|>\"Scrooge's Nephew defends the positive aspects of Christmas, contrasting Scrooge's view that the holiday is pointless.\"<|>\"advocacy for holiday spirit, family dynamics\"<|>9)##\n(\"relationship\"<|>\"Mr. Marley\"<|>\"Liberty\"<|>\"Mr. Marley’s past generosity is invoked during a discussion about the need for liberality, showing a connection to Scrooge’s current attitudes.\"<|>\"past values, moral expectations\"<|>5)##\n(\"content_keywords\"<|>\"Christmas, family conflict, charity, isolation\")<|COMPLETE|>", + "c9eb60dd2dad7cb53bc8d800adce5f9e": { + "return": "(\"entity\"<|>\"The Poor\"<|>\"person\"<|>\"The Poor refer to those individuals in society who face economic hardship and are in need of help, as indicated by their absence from the workhouses and their desperate circumstances during the festive season.\")##\n(\"entity\"<|>\"Scrooge's Counting-House\"<|>\"location\"<|>\"Scrooge's Counting-House is the workspace of Scrooge where he conducts his business, symbolizing his frugality and solitary nature.\")##\n(\"entity\"<|>\"The Lord Mayor\"<|>\"person\"<|>\"The Lord Mayor oversees the festivities during Christmas at the Mansion House, representing authority and public celebration.\")##\n(\"entity\"<|>\"Christmas Pudding\"<|>\"event\"<|>\"Christmas Pudding is a dish being prepared for the festive celebration, embodying the spirit of Christmas and family gatherings.\")##\n(\"entity\"<|>\"The Gas-Pipes\"<|>\"organization\"<|>\"The Gas-Pipes represent the infrastructure of the city, which signifies the industrial and economic activity during the cold winter season.\")##\n(\"entity\"<|>\"The Church\"<|>\"organization\"<|>\"The Church is a place referenced in the context of the community's sentiments toward Christmas and social welfare.\")##\n(\"entity\"<|>\"The Cratchit Family\"<|>\"organization\"<|>\"The Cratchit Family represents a typical struggling family in the text, highlighting the theme of social disparity during Christmas.\")##\n(\"content_keywords\"<|>\"social disparity, festive spirit, community engagement, economic hardship\")<|COMPLETE|>", "model": "gpt-4o-mini" }, - "95e3e9ed4ebba90196292e83422ede45": { - "return": "(\"entity\"<|>\"Fezziwig\"<|>\"organization\"<|>\"Fezziwig is a character noted for his role during a domestic ball, providing a joyful atmosphere and exemplifying kindness and generosity.\")##\n(\"entity\"<|>\"Mrs. Fezziwig\"<|>\"person\"<|>\"Mrs. Fezziwig is Fezziwig's partner at the domestic ball, contributing to the festive atmosphere alongside her husband.\")##\n(\"entity\"<|>\"Scrooge\"<|>\"person\"<|>\"Scrooge is a character experiencing a transformation as he reflects on his past and the impact of Fezziwig's generosity during the ball.\")##\n(\"entity\"<|>\"The Ghost of Christmas Past\"<|>\"event\"<|>\"The Ghost of Christmas Past is a supernatural entity that shows Scrooge moments from his past, eliciting reflection and emotion.\")##\n(\"entity\"<|>\"The Domestic Ball\"<|>\"event\"<|>\"The Domestic Ball is a joyful celebration organized by Fezziwig, where guests enjoy dancing and merry exchanges.\")##\n(\"entity\"<|>\"Dick\"<|>\"person\"<|>\"Dick is a character from Scrooge's past, reminisced about during the scene, representing the camaraderie shared during the ball.\")##\n(\"relationship\"<|>\"Fezziwig\"<|>\"Mrs. Fezziwig\"<|>\"Fezziwig and Mrs. Fezziwig work together to create a festive and welcoming environment during the domestic ball.\"<|>\"partnership, celebration\"<|>9)##\n(\"relationship\"<|>\"Scrooge\"<|>\"Fezziwig\"<|>\"Scrooge reflects positively on Fezziwig's past actions, acknowledging the happiness and gratitude he inspired in people.\"<|>\"reflection, influence\"<|>8)##\n(\"relationship\"<|>\"The Ghost of Christmas Past\"<|>\"Scrooge\"<|>\"The Ghost of Christmas Past guides Scrooge through recollections, prompting his introspection about his former self and choices.\"<|>\"introspection, memory\"<|>10)##\n(\"relationship\"<|>\"Fezziwig\"<|>\"The Domestic Ball\"<|>\"Fezziwig organizes the Domestic Ball, showcasing his ability to create joy and camaraderie among guests.\"<|>\"event organization, joy\"<|>10)##\n(\"relationship\"<|>\"Scrooge\"<|>\"Dick\"<|>\"Scrooge remembers Dick as a part of his past, highlighting their shared experiences during happier times.\"<|>\"nostalgia, friendship\"<|>7)##\n(\"content_keywords\"<|>\"transformation, joy, memory, generosity\")<|COMPLETE|>", + "bae4242e365dca1a912909924d66b12b": { + "return": "(\"entity\"<|>\"Beggars\"<|>\"person\"<|>\"Beggars are individuals who implore Scrooge for charity, symbolizing the lack of compassion and generosity in his character.\")##\n(\"entity\"<|>\"Children\"<|>\"person\"<|>\"Children represent innocence and joy, often seen as seeking affection and connection with adults like Scrooge.\")##\n(\"entity\"<|>\"Cold Weather\"<|>\"geo\"<|>\"Cold Weather sets the bleak and unforgiving atmosphere, reflecting Scrooge’s own personality and state of mind.\")##\n(\"entity\"<|>\"Fog\"<|>\"geo\"<|>\"Fog represents the obscurity and isolation in the environment, mirroring Scrooge’s emotional distance and isolation from society.\")##\n(\"entity\"<|>\"Court\"<|>\"geo\"<|>\"The Court is a location described as a space outside Scrooge's office where people pass by, emphasizing the contrast between Scrooge's inside world and the outside social interactions.\")##\n(\"relationship\"<|>\"Scrooge\"<|>\"Beggars\"<|>\"Beggars do not seek help from Scrooge due to his reputation, highlighting his inability to connect and empathize with those in need.\"<|>\"lack of compassion, social isolation\"<|>6)##\n(\"relationship\"<|>\"Scrooge\"<|>\"Children\"<|>\"Scrooge's indifference towards children shows his emotional coldness and detachment from the joyous aspects of life.\"<|>\"emotional detachment, joy\"<|>5)##\n(\"relationship\"<|>\"Cold Weather\"<|>\"Scrooge\"<|>\"The cold weather reflects Scrooge's icy demeanor, emphasizing his negative attitude towards life and others.\"<|>\"atmosphere, personality mirror\"<|>9)##\n(\"relationship\"<|>\"Fog\"<|>\"Scrooge\"<|>\"The fog obscures vision and symbolizes Scrooge’s cloudy outlook on life, illustrating his isolation from societal warmth.\"<|>\"obscurity, isolation\"<|>8)##\n(\"relationship\"<|>\"Court\"<|>\"Scrooge\"<|>\"The court serves as a contrasting backdrop to Scrooge’s private space, where social warmth and interaction occur, which he actively avoids.\"<|>\"social contrast, isolation\"<|>7)## \n<|COMPLETE|>", "model": "gpt-4o-mini" }, - "fb5cc30455a081e6a6571a0627c00c7d": { - "return": "(\"entity\"<|>\"Scrooge\"<|>\"person\"<|>\"Scrooge is a character known for his miserly disposition and reluctance to aid the poor, particularly during the Christmas season.\")##\n(\"entity\"<|>\"The Gentleman\"<|>\"person\"<|>\"The Gentleman is a character who advocates for helping the poor and trying to raise a fund for those in need during Christmas.\")##\n(\"entity\"<|>\"The Union Workhouses\"<|>\"organization\"<|>\"The Union Workhouses are institutions mentioned as a means of supporting the poor, still operational during Scrooge's time.\")##\n(\"entity\"<|>\"The Treadmill\"<|>\"organization\"<|>\"The Treadmill is an institution referenced as part of the welfare system that Scrooge acknowledges.\")##\n(\"entity\"<|>\"Christmas\"<|>\"event\"<|>\"Christmas is depicted as a festive season when charity and social duty are emphasized, contrasting with Scrooge's values.\")##\n(\"entity\"<|>\"The Main Street\"<|>\"geo\"<|>\"The Main Street is a location described where activity is bustling during the cold season, reflecting the social dynamics of the area.\")##\n(\"entity\"<|>\"The Mansion House\"<|>\"organization\"<|>\"The Mansion House is identified as the residence of the Lord Mayor, a place associated with Christmas festivities and order.\")##\n(\"relationship\"<|>\"Scrooge\"<|>\"The Gentleman\"<|>\"Scrooge and The Gentleman have opposing views on charity and helping the poor during Christmas, showing a stark contrast in values.\"<|>\"charity, conflict of values\"<|>8)##\n(\"relationship\"<|>\"Scrooge\"<|>\"Christmas\"<|>\"Scrooge's attitude towards Christmas highlights his disconnection from the festive spirit and charity associated with the holiday.\"<|>\"disconnection, festive spirit\"<|>7)##\n(\"relationship\"<|>\"The Gentleman\"<|>\"The Union Workhouses\"<|>\"The Gentleman mentions The Union Workhouses as alternatives for the poor, suggesting a connection to his advocacy for helping them.\"<|>\"advocacy, support systems\"<|>6)##\n(\"relationship\"<|>\"The Treadmill\"<|>\"The Union Workhouses\"<|>\"Both The Treadmill and The Union Workhouses are part of the system intended to manage the poor, referenced in Scrooge's conversation.\"<|>\"welfare system, social management\"<|>5)##\n(\"relationship\"<|>\"The Mansion House\"<|>\"Christmas\"<|>\"The Mansion House is referenced in the context of Christmas celebrations, illustrating its role in festive festivities and governance.\"<|>\"festivities, governance\"<|>7)##\n(\"relationship\"<|>\"Scrooge\"<|>\"The Main Street\"<|>\"Scrooge's experiences on The Main Street during Christmas time reflect his discontent with the surrounding joy and celebrations.\"<|>\"social dynamics, personal struggle\"<|>6)##\n(\"content_keywords\"<|>\"charity, Christmas spirit, conflict of values, social dynamics\")<|COMPLETE|>", + "749b6e8b484fd12302eff82136755095": { + "return": "(\"entity\"<|>\"Project Gutenberg\"<|>\"organization\"<|>\"Project Gutenberg is an organization that provides free eBooks, promoting accessibility to literature without restrictions.\")##\n(\"entity\"<|>\"A Christmas Carol\"<|>\"event\"<|>\"A Christmas Carol is a famous novella by Charles Dickens that tells the story of Ebenezer Scrooge's transformation and redemption, particularly around the Christmas season.\")##\n(\"entity\"<|>\"Charles Dickens\"<|>\"person\"<|>\"Charles Dickens is the author of A Christmas Carol, a prominent English writer known for his literary contributions in the 19th century.\")##\n(\"entity\"<|>\"Arthur Rackham\"<|>\"person\"<|>\"Arthur Rackham is the illustrator of A Christmas Carol, renowned for his distinctive style in illustrating classic literature.\")##\n(\"entity\"<|>\"Ebenezer Scrooge\"<|>\"person\"<|>\"Ebenezer Scrooge is the main character of A Christmas Carol, depicted as a miserly and cold-hearted man who undergoes a significant transformation.\")##\n(\"entity\"<|>\"Bob Cratchit\"<|>\"person\"<|>\"Bob Cratchit is a clerk in the employ of Ebenezer Scrooge, characterized by his kindness and struggles to support his family.\")##\n(\"entity\"<|>\"Tiny Tim\"<|>\"person\"<|>\"Tiny Tim, whose real name is Tim Cratchit, is Bob Cratchit's youngest son, known for his frail health and optimistic outlook.\")##\n(\"entity\"<|>\"Mr. Fezziwig\"<|>\"person\"<|>\"Mr. Fezziwig is a kind-hearted merchant and former employer of Scrooge, representing joy and generosity in contrast to Scrooge's character.\")##\n(\"entity\"<|>\"Ghost of Christmas Past\"<|>\"event\"<|>\"The Ghost of Christmas Past is one of the spirits in A Christmas Carol that shows Scrooge his past, prompting reflection and change.\")##\n(\"entity\"<|>\"Ghost of Christmas Present\"<|>\"event\"<|>\"The Ghost of Christmas Present is a spirit that reveals the current struggles and joys of others, influencing Scrooge's perspective.\")##\n(\"entity\"<|>\"Ghost of Christmas Yet to Come\"<|>\"event\"<|>\"The Ghost of Christmas Yet to Come is a foreboding spirit that shows Scrooge the potential consequences of his actions if he does not change.\")##\n(\"relationship\"<|>\"Project Gutenberg\"<|>\"A Christmas Carol\"<|>\"Project Gutenberg provides A Christmas Carol as a free eBook, facilitating access to this literary work.\"<|>\"accessibility, literature promotion\"<|>8)##\n(\"relationship\"<|>\"Charles Dickens\"<|>\"A Christmas Carol\"<|>\"Charles Dickens is the author of A Christmas Carol, whose writing has had a lasting impact on literature.\"<|>\"authorship, literary impact\"<|>9)##\n(\"relationship\"<|>\"Arthur Rackham\"<|>\"A Christmas Carol\"<|>\"Arthur Rackham illustrated A Christmas Carol, enhancing the storytelling through visual art.\"<|>\"illustration, artistic enhancement\"<|>8)##\n(\"relationship\"<|>\"Ebenezer Scrooge\"<|>\"Bob Cratchit\"<|>\"Ebenezer Scrooge is Bob Cratchit's employer, representing a dynamic of power and struggle in their relationship.\"<|>\"employment, power dynamics\"<|>6)##\n(\"relationship\"<|>\"Bob Cratchit\"<|>\"Tiny Tim\"<|>\"Bob Cratchit is the father of Tiny Tim, showcasing familial love and challenges faced by the Cratchit family.\"<|>\"family, love struggles\"<|>8)##\n(\"relationship\"<|>\"Mr. Fezziwig\"<|>\"Ebenezer Scrooge\"<|>\"Mr. Fezziwig represents a contrast to Ebenezer Scrooge's character, showing kindness and generosity in business.\"<|>\"contrast, influence\"<|>7)##\n(\"relationship\"<|>\"Scrooge\"<|>\"Ghost of Christmas Past\"<|>\"The Ghost of Christmas Past shows Scrooge experiences from his life that prompt his transformation.\"<|>\"reflection, transformation\"<|>9)##\n(\"relationship\"<|>\"Scrooge\"<|>\"Ghost of Christmas Present\"<|>\"The Ghost of Christmas Present reveals the realities of others' lives, influencing Scrooge's understanding of generosity and compassion.\"<|>\"awareness, compassion\"<|>8)##\n(\"relationship\"<|>\"Scrooge\"<|>\"Ghost of Christmas Yet to Come\"<|>\"The Ghost of Christmas Yet to Come presents a foreboding vision of Scrooge's future, driving home the need for personal change.\"<|>\"forewarning, change\"<|>10)##\n(\"content_keywords\"<|>\"literary classic, transformation, Christmas, moral lessons\")<|COMPLETE|>", "model": "gpt-4o-mini" }, - "427f3f0888e677aa2216716b8b911c69": { - "return": "(\"entity\"<|>\"Scrooge\"<|>\"person\"<|>\"Scrooge is a central character who reflects on his past and is deeply affected by the memories of his childhood and the loneliness he experienced.\")##\n(\"entity\"<|>\"Ali Baba\"<|>\"person\"<|>\"Ali Baba is mentioned as a character from a story that impacts Scrooge during his reflection on Christmas and childhood.\")##\n(\"entity\"<|>\"Valentine\"<|>\"person\"<|>\"Valentine is referenced as a brother of a character, and his presence contributes to the holiday memories Scrooge recalls.\")##\n(\"entity\"<|>\"Orson\"<|>\"person\"<|>\"Orson is mentioned as another brother mentioned by Scrooge, recalling his childhood tales and adventures.\")##\n(\"entity\"<|>\"Robin Crusoe\"<|>\"person\"<|>\"Robin Crusoe is a character referenced by Scrooge as part of his memories, signifying tales of adventure and nostalgia.\")##\n(\"entity\"<|>\"Friday\"<|>\"person\"<|>\"Friday is another character from a story mentioned by Scrooge during his nostalgic recollections of childhood.\")##\n(\"entity\"<|>\"The Ghost\"<|>\"organization\"<|>\"The Ghost serves as a guiding presence that helps Scrooge confront and reflect on his past during Christmas.\")##\n(\"entity\"<|>\"Christmas\"<|>\"event\"<|>\"Christmas is a significant holiday that triggers Scrooge's memories and reflections on joy, loneliness, and his past.\")##\n(\"entity\"<|>\"Christmas Carol\"<|>\"event\"<|>\"A Christmas Carol is referenced as a song that Scrooge recalls when thinking about giving and community.\")##\n(\"relationship\"<|>\"Scrooge\"<|>\"Ali Baba\"<|>\"Scrooge recalls Ali Baba while reflecting on memories of Christmas, indicating a strong personal connection to the story and its impact on him.\"<|>\"nostalgia, childhood stories\"<|>8)##\n(\"relationship\"<|>\"Scrooge\"<|>\"Valentine\"<|>\"Scrooge's mention of Valentine signifies his memories of familial ties and childhood experiences during Christmas.\"<|>\"family memories, nostalgia\"<|>6)##\n(\"relationship\"<|>\"Scrooge\"<|>\"Orson\"<|>\"Same as above, Orson is part of Scrooge's memories of his brothers during Christmas time, emphasizing themes of togetherness and nostalgia.\"<|>\"family memories, nostalgia\"<|>6)##\n(\"relationship\"<|>\"Scrooge\"<|>\"Robin Crusoe\"<|>\"Scrooge's reference to Robin Crusoe during his reflections shows how literary characters shaped his childhood thoughts and feelings.\"<|>\"literary influence, nostalgia\"<|>7)##\n(\"relationship\"<|>\"Scrooge\"<|>\"Friday\"<|>\"Scrooge's mention of Friday signifies his recollection of childhood stories and influences during Christmas time.\"<|>\"storytelling, childhood memories\"<|>5)##\n(\"relationship\"<|>\"Scrooge\"<|>\"The Ghost\"<|>\"The Ghost serves as a catalyst for Scrooge's reflections, guiding him to confront his past and feelings about Christmas.\"<|>\"reflection, guidance\"<|>9)##\n(\"relationship\"<|>\"Scrooge\"<|>\"Christmas\"<|>\"Christmas is a central theme that invokes Scrooge's memories of his past, his feelings of loneliness, and his desire to connect.\"<|>\"holiday significance, reflection\"<|>10)##\n(\"relationship\"<|>\"Scrooge\"<|>\"Christmas Carol\"<|>\"Scrooge recalls a Christmas carol, wishing to give to a boy, which signifies his longing for connection and generosity.\"<|>\"generosity, connection\"<|>8)##\n(\"content_keywords\"<|>\"nostalgia, childhood memories, reflection, Christmas\")<|COMPLETE|>", + "79025ceaa057a92c5332b421afa95ac8": { + "return": "(\"entity\"<|>\"Boys\"<|>\"person\"<|>\"The boys are depicted as cheerful characters riding ponies, contributing to the joyful atmosphere and memories of Scrooge's past.\")##\n(\"entity\"<|>\"Shaggy Ponies\"<|>\"geo\"<|>\"Shaggy ponies are mentioned as part of the scene, representing the innocent and playful aspects of Scrooge's childhood.\")##\n(\"entity\"<|>\"Bridge\"<|>\"geo\"<|>\"The bridge is a landmark in the market-town that Scrooge recognizes from his childhood, symbolizing a connection to his past.\")##\n(\"entity\"<|>\"Church\"<|>\"geo\"<|>\"The church is another landmark in the market-town representing tradition and community significant to Scrooge's memories.\")##\n(\"entity\"<|>\"Winding River\"<|>\"geo\"<|>\"The winding river is part of the landscape Scrooge recalls, tying into his emotions of nostalgia and remembrance of home.\")##\n(\"relationship\"<|>\"Scrooge\"<|>\"Boys\"<|>\"Scrooge feels joy upon seeing the boys, evoking memories of childhood experiences and emotions associated with them.\"<|>\"joy, childhood memories\"<|>7)##\n(\"relationship\"<|>\"Boys\"<|>\"Shaggy Ponies\"<|>\"The boys interact with the shaggy ponies, highlighting the carefree and playful nature of youth in Scrooge's memories.\"<|>\"playfulness, childhood\"<|>6)##\n(\"relationship\"<|>\"Scrooge\"<|>\"Bridge\"<|>\"The bridge serves as a significant landmark in Scrooge's past, reminding him of his childhood and former happiness.\"<|>\"memory, landmark\"<|>7)##\n(\"relationship\"<|>\"Scrooge\"<|>\"Church\"<|>\"The church symbolizes the community and settings of Scrooge's past, highlighting the contrast between then and now.\"<|>\"community, contrast\"<|>8)##\n(\"relationship\"<|>\"Scrooge\"<|>\"Winding River\"<|>\"The winding river evokes memories and emotions for Scrooge, connecting him to his past experiences and places.\"<|>\"nostalgia, memory\"<|>8)##\n(\"relationship\"<|>\"Ghost of Christmas Past\"<|>\"Scrooge's memories\"<|>\"The Ghost facilitates Scrooge's recollection of his memories, allowing him to confront his past choices.\"<|>\"memory, confrontation\"<|>9)##\n<|COMPLETE|>", "model": "gpt-4o-mini" }, - "0fa945ad99c54bf67214b27830b72e75": { - "return": "(\"entity\"<|>\"cash-boxes\"<|>\"concept\"<|>\"Cash-boxes are items represented in the ghost's chain, symbolizing Marley’s greed and the burdens of material wealth in life.\")##\n(\"entity\"<|>\"keys\"<|>\"concept\"<|>\"Keys represent control and access, also included in the ghost's chain, indicating the constraints of Marley’s earthly desires.\")##\n(\"entity\"<|>\"padlocks\"<|>\"concept\"<|>\"Padlocks are part of the ghost's chain, signifying confinement and the lock on Marley’s spirit due to his selfish actions in life.\")##\n(\"entity\"<|>\"ledgers\"<|>\"concept\"<|>\"Ledgers symbolize records of transactions, reflecting Marley’s focus on business and financial dealings during his life.\")##\n(\"entity\"<|>\"deeds\"<|>\"concept\"<|>\"Deeds represent property ownership, indicating the material attachments that bound Marley in life and continue to do so in death.\")##\n(\"entity\"<|>\"heavy purses\"<|>\"concept\"<|>\"Heavy purses in the ghost's chain symbolize the weight of wealth and the burden of not sharing that wealth with others.\")##\n(\"entity\"<|>\"the heavy door\"<|>\"location\"<|>\"The heavy door is a physical boundary encountered by Scrooge, marking the transition between the ordinary world and the supernatural visitation.\")##\n(\"entity\"<|>\"the fireplace\"<|>\"location\"<|>\"The fireplace serves as a significant setting for the interaction between Scrooge and the ghost, representing warmth but also the stark contrast to the ghost's cold presence.\")##\n(\"entity\"<|>\"spirit\"<|>\"concept\"<|>\"Spirit represents the essence of Marley that is attempting to interact with Scrooge, indicating themes of afterlife and unresolved issues.\")##\n(\"entity\"<|>\"the bandage\"<|>\"concept\"<|>\"The bandage is an item used by the ghost, symbolizing decay and the remnants of Marley’s struggle with his own existence post-death.\")##\n(\"entity\"<|>\"the cosmic significance\"<|>\"concept\"<|>\"The cosmic significance refers to the broader themes of morality and the impact of one’s actions on others, reflected in Marley’s message to Scrooge.\")##", + "4676e3d9051dc96688f1e0f2f268a10a": { + "return": "(\"entity\"<|>\"The Bell\"<|>\"geo\"<|>\"The Bell is a disused bell in Scrooge's room, which begins to swing and rings out loudly, heralding the appearance of Marley's Ghost.\")##\n(\"entity\"<|>\"The Wine-Merchant's Cellar\"<|>\"geo\"<|>\"The Wine-Merchant's Cellar is a location within The House where sounds of dragging chains are heard, signifying a haunted presence.\")##\n(\"entity\"<|>\"The Dying Flame\"<|>\"concept\"<|>\"The Dying Flame represents the fear and uncertainty in Scrooge as it reacts to the presence of Marley’s Ghost, adding to the eerie atmosphere.\")##\n(\"entity\"<|>\"The Grate\"<|>\"geo\"<|>\"The Grate is a small fire in Scrooge's room that provides meager warmth, symbolizing Scrooge's cold disposition.\")##\n(\"entity\"<|>\"Scrooge's Dressing-Gown\"<|>\"concept\"<|>\"Scrooge's Dressing-Gown represents his reluctance to engage with the world outside, emphasizing his isolation and contentment with solitude.\")##\n(\"entity\"<|>\"Grue\"<|>\"geo\"<|>\"Grue is the small saucepan of gruel prepared by Scrooge, indicating his minimalistic lifestyle and frugality.\")##\n(\"entity\"<|>\"The Heavy Chain\"<|>\"concept\"<|>\"The Heavy Chain is associated with the dragging noise heard by Scrooge, symbolizing the burdens of his past actions.\")##\n(\"entity\"<|>\"The Cask\"<|>\"geo\"<|>\"The Cask is part of the sounds emerging from the cellar, contributing to the eerie atmosphere surrounding Marley’s Ghost.\")##\n(\"relationship\"<|>\"Scrooge\"<|>\"The Bell\"<|>\"The Bell's unexpected ringing is associated with the appearance of Marley’s Ghost, enhancing the supernatural events in The House.\"<|>\"supernatural event, signaling\"<|>7)##\n(\"relationship\"<|>\"Marley\"<|>\"The Heavy Chain\"<|>\"The Heavy Chain is linked to Marley as it suggests the burdens he carries from his earthly life, which he now haunts Scrooge with.\"<|>\"burden, consequence\"<|>9)##\n(\"relationship\"<|>\"Scrooge\"<|>\"The Wine-Merchant's Cellar\"<|>\"Scrooge hears the dragging chains from The Wine-Merchant's Cellar, indicating that the haunting presence is felt throughout The House.\"<|>\"atmosphere, haunting\"<|>8)##\n(\"relationship\"<|>\"Scrooge\"<|>\"The Grate\"<|>\"Scrooge's small fire in The Grate represents his need for warmth and symbolizes his cold heart initially showing longing for comfort.\"<|>\"coldness, minimalism\"<|>6)##\n(\"relationship\"<|>\"Scrooge\"<|>\"The Dying Flame\"<|>\"The Dying Flame's flickering is reflective of Scrooge's fear and mental state in the presence of the ghost, amplifying his internal conflict.\"<|>\"fear, conflict\"<|>8)##\n(\"content_keywords\"<|>\"isolation, haunting, redemption, supernatural presence\")<|COMPLETE|>", "model": "gpt-4o-mini" }, - "750b5539066571350b27897c23316142": { - "return": "(\"entity\"<|>\"The Cold\"<|>\"concept\"<|>\"The Cold represents the emotional and physical chill that surrounds Scrooge, symbolizing his heartless nature and isolation from others.\")##\n(\"entity\"<|>\"Fog\"<|>\"geo\"<|>\"Fog is a weather phenomenon that adds to the bleak atmosphere, reflecting the obscurity and confusion in Scrooge's life.\")##\n(\"entity\"<|>\"The Clerk\"<|>\"person\"<|>\"The Clerk works in Scrooge's counting-house, depicted as miserable and diminished under Scrooge's strict management.\")##\n(\"entity\"<|>\"Christmas Eve\"<|>\"event\"<|>\"Christmas Eve is the specific time setting in the story, highlighting the contrast between the joy of the holiday and Scrooge's negativity.\")##\n(\"entity\"<|>\"The City\"<|>\"geo\"<|>\"The City provides the backdrop for Scrooge's story, representing the bustling environment that underscores his loneliness and detachment from society.\")##\n(\"relationship\"<|>\"Scrooge\"<|>\"The Clerk\"<|>\"Scrooge's treatment of the Clerk highlights his miserly and cruel nature, contributing to an oppressive work environment.\"<|>\"unfair treatment, workplace dynamics\"<|>7)##\n(\"relationship\"<|>\"The Cold\"<|>\"Scrooge\"<|>\"The Cold serves as a metaphor for Scrooge's emotional state, indicating his lack of warmth and compassion.\"<|>\"metaphor, emotional state\"<|>8)##\n(\"relationship\"<|>\"Fog\"<|>\"The City\"<|>\"The fog in The City creates a dreary atmosphere, signifying confusion and obscured visibility, paralleling Scrooge's cold perspective on life.\"<|>\"atmosphere, symbolism\"<|>6)##\n(\"relationship\"<|>\"Christmas Eve\"<|>\"Christmas\"<|>\"Christmas Eve sets the stage for the events leading to Christmas, amplifying the significance of the holiday in Scrooge's transformation.\"<|>\"holiday significance, festive anticipation\"<|>8)<|COMPLETE|>", + "ed426a7ebb0505cc3d8687f90a7af0f0": { + "return": "(\"entity\"<|>\"Marley's Ghost\"<|>\"person\"<|>\"Marley's Ghost is the spectral figure of Jacob Marley, who appears to forewarn Scrooge about his fate and the necessity of change in his life.\")##\n(\"entity\"<|>\"The Window\"<|>\"geo\"<|>\"The Window is a physical presence in Scrooge's chamber that he approaches to observe the supernatural occurrences outside.\")##\n(\"entity\"<|>\"The Church\"<|>\"geo\"<|>\"The Church is a location from where the clock chimes are heard, marking the passage of time and contributing to the atmosphere of the scene.\")##\n(\"entity\"<|>\"The Clock\"<|>\"geo\"<|>\"The Clock serves as a symbol of time passing, reflecting Scrooge's disorientation regarding time as he transitions between reality and the supernatural.\")##\n(\"entity\"<|>\"The Chain\"<|>\"concept\"<|>\"The Chain represents the burdens of regret and guilt that haunt Marley and serve as a warning to Scrooge about the consequences of a life poorly lived.\")##\n(\"entity\"<|>\"The Darkness\"<|>\"concept\"<|>\"The Darkness symbolizes the confusion and the unknown that envelops Scrooge as he faces the reality of his past, present, and future.\")##\n(\"relationship\"<|>\"Scrooge\"<|>\"Marley's Ghost\"<|>\"Scrooge reacts to Marley's Ghost, reflecting on his past as he is warned about the consequences of his actions.\"<|>\"reflection, consequence\"<|>8)##\n(\"relationship\"<|>\"Scrooge\"<|>\"The Window\"<|>\"Scrooge approaches The Window, which acts as a portal to the outside world and the supernatural, illustrating his curiosity and fear.\"<|>\"curiosity, fear\"<|>5)##\n(\"relationship\"<|>\"Marley's Ghost\"<|>\"The Chain\"<|>\"Marley's Ghost is bound by The Chain, which symbolizes his regrets and serves as a warning to Scrooge about the consequences of his own actions.\"<|>\"regret, warning\"<|>9)##\n(\"relationship\"<|>\"Scrooge\"<|>\"The Clock\"<|>\"Scrooge's awareness of time is challenged by The Clock, reflecting his confusion and the urgency of his situation.\"<|>\"disorientation, urgency\"<|>7)##\n(\"relationship\"<|>\"Scrooge\"<|>\"The Darkness\"<|>\"Scrooge finds himself enveloped by The Darkness, representing his internal struggle and the unknown future he faces.\"<|>\"internal struggle, unknown\"<|>6)##\n(\"content_keywords\"<|>\"consequence, time, struggle, supernatural warnings\")<|COMPLETE|>", "model": "gpt-4o-mini" }, - "f9419be8687d4e03b1b64a53803c4a11": { - "return": "(\"entity\"<|>\"Spirit\"<|>\"person\"<|>\"The Spirit is the manifestation of Scrooge's past that guides him through his memories, representing his former self and the influence of time.\")##\n(\"entity\"<|>\"Winter Day\"<|>\"event\"<|>\"The Winter Day signifies the seasonal setting during Scrooge's journey through his memories, highlighting a clear, cold atmosphere filled with nostalgia.\")##\n(\"entity\"<|>\"Children\"<|>\"person\"<|>\"The Children represent the joyful, carefree aspects of Scrooge's past, embodying happiness and the innocence of youth that he has long forgotten.\")##\n(\"entity\"<|>\"School\"<|>\"organization\"<|>\"The School is a location associated with Scrooge's neglected childhood, symbolizing loneliness and lost opportunities for connection and joy.\")##\n(\"relationship\"<|>\"Scrooge\"<|>\"Spirit\"<|>\"Scrooge’s interaction with the Spirit emphasizes the emotional weight of his past decisions and feelings as they relate to his transformation.\"<|>\"guidance, emotional journey\"<|>8)##\n(\"relationship\"<|>\"Scrooge\"<|>\"Children\"<|>\"Scrooge's reaction to the Children he observes in his memories reveals his longing for the happiness he once knew but has since lost.\"<|>\"longing, innocence\"<|>7)##\n(\"relationship\"<|>\"Spirit\"<|>\"School\"<|>\"The Spirit leads Scrooge to the School, invoking memories of solitary times that deeply impact his emotional state.\"<|>\"reflection, nostalgia\"<|>6)##\n(\"relationship\"<|>\"Scrooge\"<|>\"School\"<|>\"The School serves as a poignant reminder of Scrooge's childhood neglect, influencing his character development and emotional barriers.\"<|>\"neglect, formative experiences\"<|>7)##\n(\"content_keywords\"<|>\"nostalgia, childhood, emotional impact, guidance\")<|COMPLETE|>", + "3ea04f2c61dd6ac327f22803cc4f16d7": { + "return": "(\"entity\"<|>\"Clerk\"<|>\"person\"<|>\"The Clerk is a minor character who provides a contrast to Scrooge's character, expressing warmth and kindness during the holiday season.\")##\n(\"entity\"<|>\"The Gentlemen\"<|>\"organization\"<|>\"The Gentlemen are portrayed as representatives who arrive at Scrooge's office to collect donations for the poor during Christmas.\")##\n(\"entity\"<|>\"Poor and Destitute\"<|>\"concept\"<|>\"The Poor and Destitute refer to those in need, highlighting the themes of charity and social responsibility that are emphasized during the Christmas season.\")##\n(\"entity\"<|>\"Christmas-Time\"<|>\"event\"<|>\"Christmas-Time refers to the period surrounding Christmas, laden with connotations of joy, generosity, and family gatherings, which Scrooge vehemently criticizes.\")##\n(\"entity\"<|>\"Bedlam\"<|>\"geo\"<|>\"Bedlam is referenced as a metaphorical expression of madness, illustrating Scrooge's disdain for cheerful attitudes he finds absurd.\")##\n(\"relationship\"<|>\"Scrooge\"<|>\"Clerk\"<|>\"Scrooge's Clerk represents a contrasting viewpoint to Scrooge's own, showcasing a degree of warmth that Scrooge actively dismisses.\" <|>\"contrast, workplace dynamics\"<|>5)##\n(\"relationship\"<|>\"The Gentlemen\"<|>\"Scrooge\"<|>\"The Gentlemen approach Scrooge about donations for the poor, representing a charitable campaign that he strongly resists.\" <|>\"charity, social responsibility\"<|>8)##\n(\"relationship\"<|>\"Scrooge\"<|>\"Poor and Destitute\"<|>\"Scrooge's reluctance to support the Poor and Destitute highlights his miserly nature and his antagonism toward societal responsibility.\" <|>\"miserliness, social neglect\"<|>7)##\n(\"relationship\"<|>\"Scrooge's Nephew\"<|>\"Christmas-Time\"<|>\"Scrooge's Nephew celebrates Christmas-Time as a period for kindness and charity, clashing with Scrooge's cynical view.\" <|>\"celebration, family dynamics\"<|>8)##\n(\"relationship\"<|>\"Scrooge\"<|>\"Bedlam\"<|>\"Scrooge invokes the concept of Bedlam to express his disbelief and frustration at the cheerfulness of others, implying a disdain for societal norms.\" <|>\"disdain, societal norms\"<|>6)##\n(\"content_keywords\"<|>\"charity, social responsibility, contrasting characters, holiday cheer\")<|COMPLETE|>", "model": "gpt-4o-mini" }, - "9983a71b129178e931ae0c14a77570b5": { - "return": "(\"entity\"<|>\"The Spring\"<|>\"technology\"<|>\"The Spring is a mechanism within The Clock that Scrooge touches to correct its malfunction, highlighting his engagement with technology amid his confusion about time.\")##\n(\"entity\"<|>\"Bed Curtains\"<|>\"technology\"<|>\"The Bed Curtains are part of Scrooge's bedroom that are drawn aside, heralding the appearance of The Visitor and creating a pivotal moment in the narrative.\")##\n(\"entity\"<|>\"Light\"<|>\"concept\"<|>\"Light emanates from The Visitor, symbolizing clarity, revelation, and the supernatural, contrasting with the darkness around Scrooge's situation.\")##\n(\"entity\"<|>\"Holly Branch\"<|>\"technology\"<|>\"The Holly Branch is held by The Visitor, representing the duality of winter and spring, life and death, embodying the hope of renewal.\")##\n(\"entity\"<|>\"Dream\"<|>\"concept\"<|>\"Dream refers to the possibility that Scrooge's experiences are a figment of his imagination, reflecting his internal struggle with reality and perception.\")##\n(\"relationship\"<|>\"Marley's Ghost\"<|>\"The Visitor\"<|>\"Both Marley's Ghost and The Visitor are supernatural figures that interact with Scrooge, influencing his understanding of his life's choices.\"<|>\"supernatural connection, influence\"<|>8)##\n(\"relationship\"<|>\"The Visitor\"<|>\"Light\"<|>\"The Visitor is associated with Light, which represents enlightenment and understanding for Scrooge during his existential crisis.\"<|>\"enlightenment, revelation\"<|>9)##\n(\"relationship\"<|>\"The Visitor\"<|>\"Holly Branch\"<|>\"The Holly Branch held by The Visitor signifies themes of life, renewal, and the intersection of winter and spring in their encounter.\"<|>\"symbolism, renewal\"<|>7)##\n(\"relationship\"<|>\"Ebenezer Scrooge\"<|>\"Dream\"<|>\"Scrooge contemplates whether his experiences are merely a Dream, showcasing his inner conflict with reality and imagination.\"<|>\"reality vs. illusion, introspection\"<|>6)##\n(\"content_keywords\"<|>\"supernatural beings, conflict with reality, symbolism, light and dark\")<|COMPLETE|>", + "28a3f1cc7c3c190365ca81af69227551": { + "return": "(\"entity\"<|>\"The Two Apprentices\"<|>\"person\"<|>\"The Two Apprentices are characters present at the Domestic Ball, who express gratitude and admiration for Fezziwig after the event.\")##\n(\"entity\"<|>\"The Clock\"<|>\"concept\"<|>\"The Clock signifies the passage of time during the Domestic Ball and plays a role in marking the end of the celebration.\")##\n(\"entity\"<|>\"The Spirit\"<|>\"concept\"<|>\"The Spirit represents a guiding force encouraging Scrooge to introspect on his past and recognize the value of happiness.\")##\n(\"entity\"<|>\"The Golden Idol\"<|>\"concept\"<|>\"The Golden Idol symbolizes materialism and the pursuit of wealth, indicating a shift in Scrooge's values over time.\")##\n(\"entity\"<|>\"The Prime of Life\"<|>\"event\"<|>\"The Prime of Life refers to a phase in Scrooge's youth when he was more carefree before becoming hardened by greed.\")##\n(\"entity\"<|>\"The Mourning Dress\"<|>\"concept\"<|>\"The Mourning Dress symbolizes loss and separation, highlighting the emotional distance between Scrooge and his former love.\")##\n(\"relationship\"<|>\"Fezziwig\"<|>\"The Two Apprentices\"<|>\"Fezziwig is celebrated and appreciated by The Two Apprentices for creating a joyful atmosphere during the Domestic Ball.\"<|>\"appreciation, mentorship\"<|>8)##\n(\"relationship\"<|>\"Scrooge\"<|>\"The Spirit\"<|>\"Scrooge's interaction with The Spirit serves as a pivotal moment for him to reflect on his past decisions and seek wisdom.\"<|>\"introspection, guidance\"<|>9)##\n(\"relationship\"<|>\"Scrooge\"<|>\"The Golden Idol\"<|>\"The Golden Idol represents the materialistic pursuits that have displaced meaningful connections in Scrooge's life.\"<|>\"materialism, lost connections\"<|>10)##\n(\"relationship\"<|>\"Scrooge\"<|>\"The Mourning Dress\"<|>\"The Mourning Dress symbolizes Scrooge's unfulfilled relationships and the emotional consequences of his choices.\"<|>\"loss, emotional distance\"<|>8)##\n(\"relationship\"<|>\"Scrooge\"<|>\"The Prime of Life\"<|>\"Scrooge reflects on his Prime of Life, contrasting it with his current state and the sacrifices he has made for wealth.\"<|>\"reflection, life choices\"<|>9)##\n(\"content_keywords\"<|>\"mentorship, materialism, emotional loss, life choices\")<|COMPLETE|>", "model": "gpt-4o-mini" }, - "c6bc5075c23f7eabe3fe35ad6ef0dfd1": { - "return": "(\"entity\"<|>\"Joe\"<|>\"person\"<|>\"Joe is a character engaged in a conversation, displaying curiosity and a sense of humor regarding a situation related to 'bed-curtains'.\")##\n(\"entity\"<|>\"The Plump Sister\"<|>\"person\"<|>\"The Plump Sister is depicted in a light-hearted and humorous context, illustrating the fun of Christmas gatherings.\")##\n(\"entity\"<|>\"The Woman\"<|>\"person\"<|>\"The Woman engages in a humorous exchange with Joe about taking down bed-curtains, showcasing lively communication among characters.\")##\n(\"entity\"<|>\"Fred\"<|>\"person\"<|>\"Fred is Scrooge's nephew, representing the warmth and joy of family that Scrooge initially rejects.\")##\n(\"entity\"<|>\"Old Scratch\"<|>\"person\"<|>\"Old Scratch is mentioned as a figure related to the conversation, symbolizing mischief and humor.\")##\n(\"entity\"<|>\"The Register\"<|>\"event\"<|>\"The Register documents Marley's burial, highlighting the formal acknowledgment of his death.\")##\n(\"entity\"<|>\"The Funeral\"<|>\"event\"<|>\"The Funeral serves as a significant event reflecting on Marley's death, noted for its business-like atmosphere as perceived by Scrooge.\")##\n(\"relationship\"<|>\"Joe\"<|>\"The Woman\"<|>\"Joe and The Woman share a humorous exchange about the bed-curtains, reflecting the jovial spirit of the gathering.\"<|>\"humor, interaction\"<|>6)##\n(\"relationship\"<|>\"Scrooge\"<|>\"Fred\"<|>\"Scrooge's interaction with Fred emphasizes his rejection of familial warmth during the Christmas season.\"<|>\"rejection, familial dynamics\"<|>7)##\n(\"relationship\"<|>\"Scrooge\"<|>\"The Register\"<|>\"Scrooge's connection to The Register reinforces his involvement in Marley's death and the responsibilities that follow.\"<|>\"responsibility, mourning\"<|>8)##\n(\"relationship\"<|>\"Scrooge\"<|>\"The Funeral\"<|>\"Scrooge treats The Funeral as a business transaction, showing his cold approach to personal loss and death.\"<|>\"business, emotional detachment\"<|>7)##\n(\"content_keywords\"<|>\"humor, family, interaction, mourning\")<|COMPLETE|>", + "c36f042701abbe3edb6ef5bee488deac": { + "return": "(\"entity\"<|>\"Joe\"<|>\"person\"<|>\"Joe is a character who interacts with others, demonstrating a sense of curiosity and disbelief regarding certain situations and comments.\")##\n(\"entity\"<|>\"The Woman\"<|>\"person\"<|>\"The Woman engages in conversation with Joe, providing light-hearted responses and laughing at the absurdity of their discussions.\")##\n(\"entity\"<|>\"Tim\"<|>\"person\"<|>\"Tim is mentioned as someone important to Scrooge, indicating familial ties and possibly evoking sympathy and regret from Scrooge's character.\")##\n(\"entity\"<|>\"The Lace Tucker\"<|>\"event\"<|>\"The Lace Tucker is a small event within the text, illustrating moments of humor and social interactions among characters.\")##\n(\"entity\"<|>\"Old Scrooge\"<|>\"person\"<|>\"Old Scrooge represents an earlier version of Scrooge, depicted in memories or recollections and emphasizing his character's history.\")##\n(\"entity\"<|>\"The Funeral\"<|>\"event\"<|>\"The Funeral of Marley is a significant event that highlights Scrooge's relationship with Marley and sets the tone for their partnership and Scrooge's eventual path.\")##\n(\"relationship\"<|>\"Joe\"<|>\"The Woman\"<|>\"Joe and The Woman engage in a conversation, highlighting community dynamics and common social interactions among friends or acquaintances.\"<|>\"social interaction, community dynamics\"<|>6)##\n(\"relationship\"<|>\"Scrooge\"<|>\"Tim\"<|>\"Scrooge's connection to Tim emphasizes emotional depth, reflecting on family and lost connections as part of his character development.\"<|>\"familial connection, emotional depth\"<|>8)##\n(\"relationship\"<|>\"Scrooge\"<|>\"Old Scrooge\"<|>\"Scrooge's history is revealed through the mention of Old Scrooge, indicating his past beliefs and practices that shape his current persona.\"<|>\"character history, development\"<|>7)##\n(\"relationship\"<|>\"Marley's Funeral\"<|>\"Scrooge\"<|>\"Marley's Funeral signifies the beginning of Scrooge's emotional journey, showcasing his reaction to loss and setting the stage for the narrative.\"<|>\"loss, character journey\"<|>9)##\n(\"content_keywords\"<|>\"social interaction, character history, emotional journey, community\")<|COMPLETE|>", "model": "gpt-4o-mini" }, - "749b6e8b484fd12302eff82136755095": { - "return": "(\"entity\"<|>\"Project Gutenberg\"<|>\"organization\"<|>\"Project Gutenberg is a digital library offering free eBooks, allowing anyone to access literature in various formats without restrictions.\")##\n(\"entity\"<|>\"A Christmas Carol\"<|>\"event\"<|>\"A Christmas Carol is a novella by Charles Dickens that explores themes of redemption, compassion, and the spirit of Christmas, first published in 1843.\")##\n(\"entity\"<|>\"Charles Dickens\"<|>\"person\"<|>\"Charles Dickens is a renowned English writer and social critic, best known for his novels depicting Victorian society, including A Christmas Carol.\")##\n(\"entity\"<|>\"Arthur Rackham\"<|>\"person\"<|>\"Arthur Rackham was an English illustrator known for his imaginative and detailed illustrations for children's books, including A Christmas Carol.\")##\n(\"entity\"<|>\"Ebenezer Scrooge\"<|>\"person\"<|>\"Ebenezer Scrooge is the main character of A Christmas Carol, portrayed as a miserly and greedy old man who experiences a transformation through the visitation of spirits.\")##\n(\"entity\"<|>\"Bob Cratchit\"<|>\"person\"<|>\"Bob Cratchit is the dedicated clerk of Ebenezer Scrooge, representing the struggles of the working class and the importance of family in A Christmas Carol.\")##\n(\"entity\"<|>\"Tiny Tim\"<|>\"person\"<|>\"Tiny Tim, the son of Bob Cratchit, is a sickly child whose positive outlook on life symbolizes hope and compassion in A Christmas Carol.\")##\n(\"entity\"<|>\"Ghost of Christmas Past\"<|>\"event\"<|>\"The Ghost of Christmas Past is a supernatural character that shows Scrooge his past, helping him understand the roots of his current miserliness.\")##\n(\"entity\"<|>\"Ghost of Christmas Present\"<|>\"event\"<|>\"The Ghost of Christmas Present is a spirit that reveals to Scrooge the joys and struggles of the present Christmas season, emphasizing generosity and compassion.\")##\n(\"entity\"<|>\"Ghost of Christmas Yet to Come\"<|>\"event\"<|>\"The Ghost of Christmas Yet to Come is an apparition that presents Scrooge with a grim vision of his possible future if he doesn't change his ways.\")##\n(\"relationship\"<|>\"A Christmas Carol\"<|>\"Project Gutenberg\"<|>\"A Christmas Carol is published and distributed freely through Project Gutenberg, making it accessible to a global audience.\"<|>\"publication, accessibility\"<|>9)##\n(\"relationship\"<|>\"Charles Dickens\"<|>\"A Christmas Carol\"<|>\"Charles Dickens authored A Christmas Carol, which reflects his views on Victorian society and social issues.\"<|>\"author, literary impact\"<|>10)##\n(\"relationship\"<|>\"Arthur Rackham\"<|>\"A Christmas Carol\"<|>\"Arthur Rackham illustrated A Christmas Carol, enhancing the visual experience of Dickens' narrative.\"<|>\"illustration, artistic contribution\"<|>8)##\n(\"relationship\"<|>\"Ebenezer Scrooge\"<|>\"Tiny Tim\"<|>\"Ebenezer Scrooge, through his interactions with Tiny Tim, learns about compassion and the importance of family and community.\"<|>\"redemption, compassion\"<|>9)##\n(\"relationship\"<|>\"Bob Cratchit\"<|>\"Ebenezer Scrooge\"<|>\"Bob Cratchit works for Ebenezer Scrooge, embodying the struggles of the working class in contrast to Scrooge's miserliness.\"<|>\"workplace dynamics, social contrast\"<|>7)##\n(\"relationship\"<|>\"Ghost of Christmas Past\"<|>\"Ebenezer Scrooge\"<|>\"The Ghost of Christmas Past helps Scrooge reflect on his earlier life decisions, sparking his journey of transformation.\"<|>\"reflection, transformation\"<|>9)##\n(\"relationship\"<|>\"Ghost of Christmas Present\"<|>\"Ebenezer Scrooge\"<|>\"The Ghost of Christmas Present reveals to Scrooge the reality of his current life, highlighting the need for change.\"<|>\"revelation, current state\"<|>9)##\n(\"relationship\"<|>\"Ghost of Christmas Yet to Come\"<|>\"Ebenezer Scrooge\"<|>\"The Ghost of Christmas Yet to Come shows Scrooge a dire future, which acts as a catalyst for his transformation.\"<|>\"future reflection, transformation\"<|>10)##\n(\"content_keywords\"<|>\"redemption, compassion, social critique, transformation\")<|COMPLETE|>", + "4f2f2afd0cd2e46079661b43ae172655": { + "return": "(\"entity\"<|>\"Eternal Chain\"<|>\"concept\"<|>\"The Eternal Chain represents the burdens and consequences of one's actions in life, symbolizing the weight of regret carried by the Ghost.\")##\n(\"entity\"<|>\"Counting-house\"<|>\"location\"<|>\"The Counting-house is the place where Scrooge conducted his business and represents the limitations of his previous life.\")##\n(\"entity\"<|>\"Star\"<|>\"geo\"<|>\"The Star symbolizes guidance and hope, referenced in connection with the Wise Men, representing the potential for enlightenment and moral direction.\")##\n(\"entity\"<|>\"Wise Men\"<|>\"person\"<|>\"The Wise Men are figures who followed the Star to bring gifts, embodying the values of recognition and generosity that Scrooge has neglected.\")##\n(\"entity\"<|>\"Fellow-beings\"<|>\"concept\"<|>\"Fellow-beings are the people whom Scrooge ignored in life, representing the importance of community and connection.\")##\n(\"entity\"<|>\"Christmas Spirit\"<|>\"concept\"<|>\"The Christmas Spirit represents the ideals of generosity and kindness associated with the holiday season, which the Ghost encourages Scrooge to embrace.\")##\n(\"entity\"<|>\"Spectre\"<|>\"person\"<|>\"The Spectre is another term for the Ghost, representing a manifestation of guilt and the need for change in Scrooge's life.\")##\n(\"relationship\"<|>\"Ghost\"<|>\"Eternal Chain\"<|>\"The Ghost describes the Eternal Chain as a symbol of the burdens he carries due to his life choices, emphasizing the consequences of neglecting humanity.\"<|>\"burden, regret\"<|>9)##\n(\"relationship\"<|>\"Scrooge\"<|>\"Counting-house\"<|>\"Scrooge reflects on his life spent in the Counting-house, which represents his previous priorities focused on business over personal connections.\"<|>\"reflection, priorities\"<|>8)##\n(\"relationship\"<|>\"Star\"<|>\"Wise Men\"<|>\"The Star guided the Wise Men to recognize the importance of giving, which relates to the values that the Ghost tries to impart to Scrooge.\"<|>\"guidance, generosity\"<|>7)##\n(\"relationship\"<|>\"Scrooge\"<|>\"Fellow-beings\"<|>\"Scrooge is confronted with his past choices to ignore Fellow-beings, leading to a realization of his moral failures.\"<|>\"neglect, realization\"<|>8)##\n(\"relationship\"<|>\"Ghost\"<|>\"Christmas Spirit\"<|>\"The Ghost embodies the Christmas Spirit's values of compassion and kindness, urging Scrooge to reconsider his way of living.\"<|>\"values, transformation\"<|>9)##\n(\"relationship\"<|>\"Spectre\"<|>\"Ghost\"<|>\"The Spectre is synonymous with the Ghost, representing the collective spirit urging Scrooge to change his ways.\"<|>\"identity, motivation\"<|>10)##\n<|COMPLETE|>", "model": "gpt-4o-mini" }, - "180e01b6576aa73addeda5a221eed6b6": { - "return": "(\"entity\"<|>\"The Chain\"<|>\"concept\"<|>\"The Chain refers to the symbolic burden that Marley carries, representing the consequences of his actions and the remorse that traps him in his spectral form.\")##\n(\"entity\"<|>\"Crowd of Fellow-Beings\"<|>\"concept\"<|>\"The Crowd of Fellow-Beings signifies the people Marley neglected throughout his life, highlighting the need for social responsibility and community engagement.\")##\n(\"entity\"<|>\"Christmas Eves\"<|>\"event\"<|>\"Christmas Eves refers to the recurring time periods that Marley reflects upon, indicating the weight of his past decisions leading to regret.\")##\n(\"entity\"<|>\"The Blessed Star\"<|>\"concept\"<|>\"The Blessed Star symbolizes hope and guidance, representing the moral path that Marley believes Scrooge should have followed and acknowledged.\")##\n(\"entity\"<|>\"Iron Cable\"<|>\"concept\"<|>\"Iron Cable is a metaphorical representation of the heavy burdens of regret and unfulfilled opportunities carried by Marley in the afterlife.\")##\n(\"entity\"<|>\"The Common Welfare\"<|>\"concept\"<|>\"The Common Welfare emphasizes the idea that collective well-being should be a primary concern for individuals, contrasting with selfish pursuits.\")##\n(\"entity\"<|>\"Other Regions\"<|>\"concept\"<|>\"Other Regions alludes to the spiritual realm and existence beyond earthly life that Marley refers to, highlighting the interaction between the physical and spiritual worlds.\")##\n(\"entity\"<|>\"Seven Years\"<|>\"event\"<|>\"Seven Years denotes the duration since Marley passed away, a significant timeframe during which he reflects on his unending labor and remorse.\")##\n(\"entity\"<|>\"Counting-House\"<|>\"location\"<|>\"The Counting-House is a physical space representing the business environment where Scrooge and Marley engaged in trade but also symbolizes their limited worldview.\")##\n(\"entity\"<|>\"Fellow-Men\"<|>\"concept\"<|>\"Fellow-Men refers to individuals with whom Marley and Scrooge share a human connection, underscoring the importance of empathy and human relationships.\")##\n(\"entity\"<|>\"Ponderous Chain\"<|>\"concept\"<|>\"Ponderous Chain symbolizes the heavy emotional and moral burden that Marley carries as a consequence of his choices in life, particularly relating to his business practices.\")##\n(\"content_keywords\"<|>\"remorse, moral awakening, spiritual burden, societal responsibility\")<|COMPLETE|>", + "d5206a48e38c2eb34781a9e451a6fe0f": { + "return": "(\"entity\"<|>\"The Ghost\"<|>\"concept\"<|>\"The Ghost represents a spectral figure guiding Scrooge through his past, serving as a catalyst for self-reflection and transformation.\")##\n(\"entity\"<|>\"Home\"<|>\"concept\"<|>\"Home symbolizes warmth, safety, and family connection, representing what Scrooge yearns for but has lost in his life.\")##\n(\"entity\"<|>\"Coach\"<|>\"concept\"<|>\"The Coach is a means of transport that signifies the transition from Scrooge's lonely past to the possibility of companionship and warmth.\")##\n(\"entity\"<|>\"Christmas\"<|>\"event\"<|>\"Christmas signifies a time of joy, reunion, and reflection, central to the theme of redemption in Scrooge's journey.\")##\n(\"entity\"<|>\"The School\"<|>\"organization\"<|>\"The School represents the institutional aspect of Scrooge's childhood, contrasting with the warmth and love represented by Fan.\")##\n(\"entity\"<|>\"Cold\"<|>\"concept\"<|>\"Cold symbolizes the emotional detachment and isolation present in Scrooge's life, contrasting with the warmth of family and connection that he longs for.\")##\n(\"entity\"<|>\"Evening\"<|>\"event\"<|>\"Evening represents a time of transition and reflection as Scrooge recalls his past and seeks transformation.\")##\n(\"entity\"<|>\"The Party\"<|>\"event\"<|>\"The Party refers to festive gatherings that Fezziwig hosts, showcasing joy and camaraderie during the Christmas season.\")##\n(\"entity\"<|>\"The Warehouse\"<|>\"organization\"<|>\"The Warehouse serves as the setting for Scrooge's memories of Fezziwig's jovial nature and the lively gatherings during his apprenticeship.\")##\n(\"entity\"<|>\"The Children\"<|>\"person\"<|>\"The Children serve as symbols of innocence and joy, representing the untainted happiness of childhood that Scrooge longs to reconnect with.\")##\n(\"entity\"<|>\"A Coach to Bring You Home\"<|>\"concept\"<|>\"A Coach to Bring You Home symbolizes the hope and opportunity for reconnection and warmth in Scrooge's life.\")##\n(\"content_keywords\"<|>\"self-reflection, family, childhood memories, joy, emotional warmth\")<|COMPLETE|>", "model": "gpt-4o-mini" }, - "79d0cc76f9ccaf3cc5c0c4770762d329": { - "return": "(\"entity\"<|>\"The Schoolmaster\"<|>\"person\"<|>\"The Schoolmaster is an authoritative figure who oversees Scrooge and the other boys, representing the harshness of education and discipline.\")## \n(\"entity\"<|>\"Master Scrooge\"<|>\"person\"<|>\"Master Scrooge is the young version of Scrooge who is influenced by his environment and experiences during his schooling.\")## \n(\"entity\"<|>\"Father\"<|>\"person\"<|>\"Father refers to Scrooge's father, who is noted for being kinder than before, allowing Scrooge to return home.\")## \n(\"entity\"<|>\"The Chaise\"<|>\"organization\"<|>\"The Chaise is the mode of transportation that takes Scrooge and Little Fan away from the school, symbolizing transition and change.\")## \n(\"entity\"<|>\"The City\"<|>\"geo\"<|>\"The City represents the bustling urban environment where Scrooge reflects on his past, filled with activity and shadowy figures.\")## \n(\"entity\"<|>\"The Warehouse\"<|>\"location\"<|>\"The Warehouse is a specific location where Scrooge had previously apprenticed and holds significant memories for him.\")## \n(\"relationship\"<|>\"Scrooge\"<|>\"The Schoolmaster\"<|>\"The Schoolmaster represents authority and discipline in Scrooge's early life, influencing his development.\"<|>\"authority, discipline\"<|>6)## \n(\"relationship\"<|>\"Little Fan\"<|>\"Father\"<|>\"Little Fan discusses the kindness of their Father, indicating a change in the family dynamics that impacts Scrooge.\"<|>\"family, change\"<|>7)## \n(\"relationship\"<|>\"Scrooge\"<|>\"The City\"<|>\"Scrooge's reflections in the City highlight his relationship with his past and the contrast of his current life.\"<|>\"reflection, urban life\"<|>5)## \n(\"relationship\"<|>\"Scrooge\"<|>\"The Warehouse\"<|>\"Scrooge's connection to the Warehouse emphasizes his memories of apprenticeship and his past experiences.\"<|>\"memories, apprenticeship\"<|>8)## \n(\"relationship\"<|>\"Scrooge\"<|>\"Master Scrooge\"<|>\"The young Master Scrooge represents Scrooge's earlier aspirations and innocence, contrasting with his current self.\"<|>\"nostalgia, identity\"<|>9)## \n(\"content_keywords\"<|>\"authority, family dynamics, urban life, memories, identity\")<|COMPLETE|>", + "116ac1ae1f082545ac96dbcd9c9b9366": { + "return": "(\"entity\"<|>\"Scrooge\"<|>\"person\"<|>\"Scrooge is a character who undergoes a transformation, displaying joy and generosity during Christmas after a period of miserliness.\")##\n(\"entity\"<|>\"Tiny Tim\"<|>\"person\"<|>\"Tiny Tim is a character referenced by Scrooge, symbolizing innocence and the spirit of Christmas.\")##\n(\"entity\"<|>\"The Old Gentleman\"<|>\"person\"<|>\"The Old Gentleman is a character with whom Scrooge interacts, showcasing the themes of kindness and forgiveness.\")##\n(\"entity\"<|>\"Fred\"<|>\"person\"<|>\"Fred is Scrooge's nephew, representing familial love and the joy of Christmas gatherings.\")##\n(\"entity\"<|>\"Camden Town\"<|>\"geo\"<|>\"Camden Town is mentioned as a location related to the transportation of a turkey in a humorous context during the holiday season.\")##\n(\"entity\"<|>\"Christmas\"<|>\"event\"<|>\"Christmas is the festive holiday being celebrated, central to the transformation of Scrooge and the story's theme of generosity.\")##\n(\"relationship\"<|>\"Scrooge\"<|>\"Tiny Tim\"<|>\"Scrooge expresses a newfound joy during Christmas, indicating a change in attitude towards the spirit symbolized by Tiny Tim.\"<|>\"transformation, holiday spirit\"<|>8)##\n(\"relationship\"<|>\"Scrooge\"<|>\"The Old Gentleman\"<|>\"Scrooge shows kindness and generosity to The Old Gentleman, marking a significant change in his character and relationships.\"<|>\"kindness, transformation\"<|>9)##\n(\"relationship\"<|>\"Scrooge\"<|>\"Fred\"<|>\"Scrooge visits his nephew Fred, demonstrating the rekindling of family ties and the spirit of Christmas.\"<|>\"family, rekindled relationships\"<|>7)##\n(\"relationship\"<|>\"Scrooge\"<|>\"Christmas\"<|>\"Scrooge's transformation is closely linked to the celebration of Christmas, highlighting themes of giving and joy.\"<|>\"holiday significance, transformation\"<|>10)##\n(\"content_keywords\"<|>\"transformation, kindness, Christmas spirit, family values\")<|COMPLETE|>", "model": "gpt-4o-mini" }, - "0b2c60d67fd1327eaf6b8ff21a5a2f79": { - "return": "(\"entity\"<|>\"The Poor\"<|>\"person\"<|>\"The Poor refers to the individuals in society who are destitute and in need of assistance, often highlighted in discussions about charity during Christmas.\")##\n(\"entity\"<|>\"The Clerk\"<|>\"person\"<|>\"The Clerk is an employee of Scrooge, who quietly awaits the end of the workday and represents the working class.\")##\n(\"entity\"<|>\"Christmas Carol\"<|>\"event\"<|>\"The Christmas Carol is a musical tradition performed during the Christmas season, symbolizing goodwill and festive spirit.\")##\n(\"entity\"<|>\"The Fog\"<|>\"geo\"<|>\"The Fog is a weather condition described as thickening around Scrooge, metaphorically representing the gloomy atmosphere surrounding him.\")##\n(\"entity\"<|>\"The Gas-pipes\"<|>\"organization\"<|>\"The Gas-pipes are mentioned as undergoing repairs in The Main Street, indicating the infrastructure's role in the community during winter.\")##\n(\"entity\"<|>\"The Labourers\"<|>\"organization\"<|>\"The Labourers refer to the workers repairing the gas-pipes, reflecting the lower working-class experiencing harsh winter conditions.\")##\n(\"entity\"<|>\"The Lord Mayor\"<|>\"person\"<|>\"The Lord Mayor is a civic leader responsible for overseeing Christmas festivities and ensuring proper celebrations in the town.\")##\n(\"entity\"<|>\"The Tailor\"<|>\"person\"<|>\"The Tailor is a character referenced as preparing for Christmas by stirring pudding, illustrating the engagement of tradespeople in holiday traditions.\")##\n(\"entity\"<|>\"The Pudding\"<|>\"event\"<|>\"The Pudding is a traditional dish prepared for Christmas, symbolizing festivity and the warmth of family gatherings.\")##\n(\"entity\"<|>\"St. Dunstan\"<|>\"person\"<|>\"St. Dunstan is a historical figure mentioned metaphorically, associated with a legend of confronting evil, reflecting the theme of good versus evil.\")##\n\n##", + "98f72937763bce3b05031c3c8e413ed3": { + "return": "(\"entity\"<|>\"The Fiddler\"<|>\"person\"<|>\"The Fiddler is a musician who plays at Fezziwig's celebration, providing music for the dancers and contributing to the festive atmosphere.\")##\n(\"entity\"<|>\"The Three Miss Fezziwigs\"<|>\"person\"<|>\"The Three Miss Fezziwigs are jovial participants in the celebration, characterized by their lovable demeanor.\")##\n(\"entity\"<|>\"Young Followers\"<|>\"organization\"<|>\"The Young Followers consist of several young men and women who are employed in Fezziwig's business and participate in the festivities.\")##\n(\"entity\"<|>\"The Housemaid\"<|>\"person\"<|>\"The Housemaid is a character present during the celebrations, contributing to the lively atmosphere of the evening.\")##\n(\"entity\"<|>\"The Cook\"<|>\"person\"<|>\"The Cook is another character involved in the celebrations, participating in the festivities alongside other guests.\")##\n(\"entity\"<|>\"The Baker\"<|>\"person\"<|>\"The Baker is related to the Housemaid and present during the celebrations, adding to the communal aspect of the event.\")##\n(\"entity\"<|>\"The Boy from Over the Way\"<|>\"person\"<|>\"The Boy from Over the Way is a humorous character trying to hide behind another participant, showcasing the inclusiveness of the celebrations.\")##\n(\"entity\"<|>\"The Girl from Next Door\"<|>\"person\"<|>\"The Girl from Next Door is referenced as hiding from the Boy, illustrating the interactions during the event.\")##\n(\"relationship\"<|>\"Fezziwig\"<|>\"The Fiddler\"<|>\"The Fiddler provides music for the dance, playing a crucial role in enhancing the festive atmosphere created by Fezziwig.\"<|>\"musical contribution, festive atmosphere\"<|>9)##\n(\"relationship\"<|>\"The Three Miss Fezziwigs\"<|>\"The Young Followers\"<|>\"The Three Miss Fezziwigs interact with the Young Followers during the dance, highlighting the communal joy of the celebration.\"<|>\"community, interactions\"<|>8)##\n(\"relationship\"<|>\"The Housemaid\"<|>\"The Cook\"<|>\"The Housemaid and The Cook are both present at Fezziwig's celebration, participating in the festivities and showcasing the inclusive environment.\"<|>\"inclusion, participation\"<|>7)##\n(\"relationship\"<|>\"Ebenezer Scrooge\"<|>\"Fezziwig\"<|>\"Scrooge reflects on his positive memories of Fezziwig, contributing to the theme of mentorship and joy in the past.\"<|>\"reflection, mentorship\"<|>8)##\n(\"relationship\"<|>\"The Boy from Over the Way\"<|>\"The Girl from Next Door\"<|>\"The Boy's attempts to hide from The Girl demonstrate the youthful interactions and dynamics during the festive event.\"<|>\"youthful antics, dynamics\"<|>6)##\n(\"content_keywords\"<|>\"music, joy, community, interactions\")<|COMPLETE|>", "model": "gpt-4o-mini" }, - "e8321a26bab0df2d45d23b47ecd1f74c": { - "return": "(\"entity\"<|>\"Portly Gentlemen\"<|>\"person\"<|>\"The Portly Gentlemen are representatives who seek to gather funds for the poor during Christmas, embodying the spirit of generosity that Scrooge rejects.\")##\n(\"entity\"<|>\"Credentials\"<|>\"event\"<|>\"The Credentials refer to the documents presented by the Portly Gentlemen, indicating their legitimacy and purpose in seeking donations from Scrooge.\")##\n(\"entity\"<|>\"Bedlam\"<|>\"geo\"<|>\"Bedlam is referenced as a metaphorical place for madness, illustrating Scrooge's disdain for the cheerful nature of Christmas and his sense of isolation.\")##\n(\"entity\"<|>\"Christmas-time\"<|>\"event\"<|>\"Christmas-time is characterized as a period filled with festivities, joy, and community engagement, which Scrooge regards cynically.\")##\n(\"relationship\"<|>\"Scrooge\"<|>\"Portly Gentlemen\"<|>\"Scrooge dismisses the Portly Gentlemen's request for donations, rejecting their appeal for charity.\"<|>\"charity rejection, conflict\"<|>8)##\n(\"relationship\"<|>\"Portly Gentlemen\"<|>\"Credentials\"<|>\"The Portly Gentlemen present their Credentials to establish their purpose and authority to solicit donations from Scrooge.\"<|>\"authorization, fundraising\"<|>7)##\n(\"relationship\"<|>\"Scrooge\"<|>\"Christmas-time\"<|>\"Scrooge views Christmas-time as a burden rather than a celebration, contrasting with the feelings of others around him.\"<|>\"cynicism, holiday spirit conflict\"<|>9)##\n(\"relationship\"<|>\"Scrooge's Nephew\"<|>\"Bedlam\"<|>\"Scrooge references Bedlam in expressing his frustration with the jovial attitudes of others, indicating his desire to distance himself from them.\"<|>\"isolation, metaphorical reference\"<|>6)##\n(\"content_keywords\"<|>\"generosity, rejection of charity, holiday spirit, generosity\")<|COMPLETE|>", + "10860e13c74959020089c6b154d4feae": { + "return": "(\"entity\"<|>\"The Ghost\"<|>\"person\"<|>\"The Ghost is a supernatural being that interacts with Scrooge, helping him to confront his past and evoke emotions connected to Christmas.\")##\n(\"entity\"<|>\"Mansion\"<|>\"geo\"<|>\"The Mansion is a large house described as being in a state of decay and neglect, serving as a setting for Scrooge's memories.\")##\n(\"entity\"<|>\"Child\"<|>\"person\"<|>\"The Child is a solitary figure leaving in the school, representing loneliness and the emotions tied to Scrooge's memories of his younger self.\")##\n(\"entity\"<|>\"Robin Crusoe\"<|>\"person\"<|>\"Robin Crusoe is a character from literature that Scrooge remembers fondly, illustrating his connection to stories of adventure and survival.\")##\n(\"entity\"<|>\"Friday\"<|>\"person\"<|>\"Friday is another character from the story of Robin Crusoe, noted in Scrooge's memories, indicating the impact of literature on his nostalgia.\")##\n(\"entity\"<|>\"The Parrot\"<|>\"person\"<|>\"The Parrot is a character in Scrooge's memory tied to Robin Crusoe, representing Scrooge's whimsical recollections.\")##\n(\"relationship\"<|>\"Scrooge\"<|>\"The Ghost\"<|>\"The Ghost prompts Scrooge to remember significant moments, driving his emotional exploration of the past.\"<|>\"guidance, emotional exploration\"<|>9)##\n(\"relationship\"<|>\"Scrooge\"<|>\"Child\"<|>\"Scrooge sees his younger self in the solitary child, sparking deep emotional reflections about his past and choices.\"<|>\"self-reflection, past connection\"<|>8)##\n(\"relationship\"<|>\"Ali Baba\"<|>\"Robin Crusoe\"<|>\"Both Ali Baba and Robin Crusoe represent figures from stories that shaped Scrooge's childhood memories and sentiments towards Christmas.\"<|>\"literary connection, childhood memories\"<|>7)##\n(\"relationship\"<|>\"Scrooge\"<|>\"Mansion\"<|>\"The Mansion symbolizes the neglect and decay that parallels Scrooge's own emotional state and memories of his past.\"<|>\"symbolism, emotional state\"<|>8)##\n(\"relationship\"<|>\"The Ghost\"<|>\"Mansion\"<|>\"The Ghost guides Scrooge through the Mansion, illustrating the contrast between past warmth and present decay.\"<|>\"guidance, contrast\"<|>9)##\n(\"relationship\"<|>\"Robin Crusoe\"<|>\"Friday\"<|>\"Friday serves alongside Robin Crusoe in the stories remembered by Scrooge, representing loyalty and friendship in adventure.\"<|>\"friendship, adventure\"<|>7)##\n(\"relationship\"<|>\"Scrooge\"<|>\"The Parrot\"<|>\"Scrooge recalls the Parrot associated with his memories of Robin Crusoe, highlighting the whimsical and nostalgic aspects of his reflections.\"<|>\"nostalgia, whimsy\"<|>6)##\n(\"relationship\"<|>\"Child\"<|>\"The Spirit\"<|>\"The Spirit points Scrooge to the Child, emphasizing themes of neglect, remembrance, and the importance of past experiences.\"<|>\"remembrance, neglect\"<|>8)##\n(\"content_keywords\"<|>\"literary nostalgia, self-reflection, emotional guidance, childhood figures\")<|COMPLETE|>", "model": "gpt-4o-mini" }, - "18ae0495a82ddbf3ce5051da174a25c5": { - "return": "(\"entity\"<|>\"The Two Apprentices\"<|>\"person\"<|>\"The Two Apprentices are characters from Fezziwig's establishment who express gratitude and admiration for Fezziwig's positive influence during the Domestic Ball.\")##\n(\"entity\"<|>\"The Spirit\"<|>\"concept\"<|>\"The Spirit refers to the supernatural essence of the Ghost of Christmas Past, embodying the idea of reflection and memory.\")##\n(\"entity\"<|>\"Merry Christmas\"<|>\"event\"<|>\"Merry Christmas is a common greeting shared during the Domestic Ball by Fezziwig and Mrs. Fezziwig, representing the spirit of the holiday.\")##\n(\"entity\"<|>\"Wealth\"<|>\"concept\"<|>\"Wealth is referred to as a 'golden idol' that has displaced genuine happiness in Scrooge's life, highlighting themes of materialism versus emotional fulfillment.\")##\n(\"entity\"<|>\"Poverty\"<|>\"concept\"<|>\"Poverty is presented in contrast to wealth, representing struggles and rejections of superficial values in Scrooge's past.\")##\n(\"relationship\"<|>\"Fezziwig\"<|>\"The Two Apprentices\"<|>\"Fezziwig inspires deep gratitude and respect from his apprentices, who appreciate his kindness during their interactions at the ball.\"<|>\"gratitude, mentorship\"<|>8)##\n(\"relationship\"<|>\"Scrooge\"<|>\"The Spirit\"<|>\"Scrooge engages with the Spirit as it reveals memories that prompt significant self-reflection and consideration of change.\"<|>\"self-reflection, transformation\"<|>9)##\n(\"relationship\"<|>\"Scrooge\"<|>\"Wealth\"<|>\"Scrooge confronts the obsession with wealth which has led him away from meaningful connections and happiness.\"<|>\"materialism, character development\"<|>8)##\n(\"relationship\"<|>\"Wealth\"<|>\"Poverty\"<|>\"Wealth is juxtaposed against poverty, emphasizing the harsh realities faced by those consumed by the pursuit of money.\"<|>\"contrast, societal norms\"<|>7)##\n(\"content_keywords\"<|>\"gratitude, introspection, materialism, holiday spirit\")<|COMPLETE|>", + "9ac920735aeb9411290364be763be7db": { + "return": "(\"entity\"<|>\"The Knocker\"<|>\"organization\"<|>\"The Knocker is a feature on Scrooge's door, which takes on a mystical quality when Scrooge perceives Marley's face in it.\")##\n(\"entity\"<|>\"The Counting-House Clerk\"<|>\"person\"<|>\"The Counting-House Clerk is an unnamed character who interacts with Scrooge, representing the workforce under Scrooge's employment.\")##\n(\"entity\"<|>\"The Candle\"<|>\"technology\"<|>\"The Candle is a source of light that Scrooge lights as he enters his home, symbolizing the struggle against darkness and isolation.\")##\n(\"entity\"<|>\"The Yard\"<|>\"geo\"<|>\"The Yard refers to the dark and gloomy space behind Scrooge's residence, creating an atmosphere of loneliness and despair.\")##\n(\"entity\"<|>\"The Fog and Frost\"<|>\"concept\"<|>\"The Fog and Frost symbolize the coldness and obscurity surrounding Scrooge's life and mindset, enhancing the gloomy atmosphere.\")##\n(\"entity\"<|>\"The Ghost of Marley\"<|>\"event\"<|>\"The Ghost of Marley refers to the apparition that appears to Scrooge, serving as a catalyst for his transformation and moral reckoning.\")##\n(\"entity\"<|>\"London\"<|>\"geo\"<|>\"London serves as the setting for the story, highlighting the bustling yet isolating environment in which Scrooge lives.\")##\n(\"relationship\"<|>\"Scrooge\"<|>\"The Knocker\"<|>\"Scrooge perceives Marley's face in the knocker, symbolizing his own guilt and the haunting nature of his past choices.\"<|>\"haunting, symbol of guilt\"<|>9)##\n(\"relationship\"<|>\"Scrooge\"<|>\"The Yard\"<|>\"The Yard represents the isolation in Scrooge's life, physically and metaphorically reflecting his emotional state.\"<|>\"isolation, emotional landscape\"<|>8)##\n(\"relationship\"<|>\"Scrooge\"<|>\"The Fog and Frost\"<|>\"The Fog and Frost enveloping Scrooge's home reflect the chilling atmosphere of his life and his emotional coldness.\"<|>\"atmosphere, emotional coldness\"<|>7)##\n(\"relationship\"<|>\"Bob Cratchit\"<|>\"The Counting-House Clerk\"<|>\"Bob Cratchit and The Counting-House Clerk represent the working class under Scrooge's employment, showcasing different character traits in the context of their work.\" <|>\"workforce dynamics, character contrast\"<|>6)##\n(\"relationship\"<|>\"Scrooge\"<|>\"The Ghost of Marley\"<|>\"The Ghost of Marley serves as a direct reminder of Scrooge's past decisions, urging him towards change and redemption.\"<|>\"redemption, moral reflection\"<|>10)##\n(\"relationship\"<|>\"Bob Cratchit\"<|>\"Camden Town\"<|>\"Bob Cratchit lives in Camden Town, highlighting the geographical context of his life and family, contrasting with Scrooge's isolated existence.\"<|>\"family life, geographical contrast\"<|>7)##\n(\"relationship\"<|>\"The Candle\"<|>\"The Fog and Frost\"<|>\"The Candle symbolizes a flicker of warmth and hope in the bleak setting of Fog and Frost, contrasting the overall atmosphere.\"<|>\"hope, contrast\"<|>6)##\n(\"content_keywords\"<|>\"isolation, redemption, haunting, contrast of lives\")<|COMPLETE|>", "model": "gpt-4o-mini" }, - "f1ab5d1e23b02aec6e22e3ebbbdaaea6": { - "return": "(\"entity\"<|>\"The Window\"<|>\"concept\"<|>\"The Window represents a threshold between the visible and invisible worlds, allowing Scrooge a view into the realm of spirits and their lamentations.\")##\n(\"entity\"<|>\"The Bell\"<|>\"technology\"<|>\"The Bell is a church bell that signifies the time passing and marks the moments of Scrooge's encounters with the ghosts.\")##\n(\"entity\"<|>\"The Air\"<|>\"concept\"<|>\"The Air is described as filled with phantoms, representing the haunting nature of Scrooge's past choices and regrets.\")##\n(\"entity\"<|>\"The Phantoms\"<|>\"person\"<|>\"The Phantoms are spirits that wander restlessly, symbolizing lost opportunities and unresolved issues from their past lives.\")##\n(\"entity\"<|>\"The Dark Night\"<|>\"concept\"<|>\"The Dark Night signifies the ominous and mysterious setting during which Scrooge faces his fears and experiences the supernatural.\")##\n(\"entity\"<|>\"Wailings\"<|>\"event\"<|>\"Wailings represent the sorrowful expressions of the phantoms, illustrating the pain and regret of spirits bound by their earthly actions.\")##\n(\"entity\"<|>\"The Chain\"<|>\"concept\"<|>\"The Chain symbolizes the burdens of the past that haunt the spirits, showcasing the consequences of one's actions in life.\")##\n(\"entity\"<|>\"The Door\"<|>\"concept\"<|>\"The Door is described as being double locked, representing Scrooge’s isolation and the barriers he has built around himself in life.\")##\n(\"entity\"<|>\"The Spirits\"<|>\"concept\"<|>\"The Spirits collectively represent the supernatural forces that seek to guide and teach Scrooge about the impact of his life choices.\")##\n(\"entity\"<|>\"The Ghostly Visitations\"<|>\"event\"<|>\"The Ghostly Visitations are the anticipated encounters that Scrooge must endure as part of his journey toward redemption.\")##\n(\"entity\"<|>\"Ebenezer\"<|>\"person\"<|>\"Ebenezer refers to Scrooge's full name, emphasizing his identity and character as a miser who learns valuable life lessons.\")##\n(\"entity\"<|>\"The Penance\"<|>\"concept\"<|>\"The Penance refers to the moral and emotional suffering that Marley's Ghost must endure due to his past actions, prompting Scrooge's journey of redemption.\")##\n(\"entity\"<|>\"The Transparent Window\"<|>\"concept\"<|>\"The Transparent Window symbolizes the blurred line between the known and the supernatural, reflecting Scrooge’s struggle to understand his experiences.\")##\n(\"entity\"<|>\"The Darkness\"<|>\"concept\"<|>\"The Darkness refers to the absence of light, signifying uncertainty and fear in Scrooge's transformation journey.\")##\n(\"content_keywords\"<|>\"ghostly visitations, consequences, moral revelation, isolation\")<|COMPLETE|>", + "fcf8d38c5fa7849c04b307de5329e635": { + "return": "(\"entity\"<|>\"Tiny Tim\"<|>\"person\"<|>\"Tiny Tim is a young child who is cherished by his family, particularly his father, Bob Cratchit, and is a symbol of innocence and loss.\")##\n(\"entity\"<|>\"Bob Cratchit\"<|>\"person\"<|>\"Bob Cratchit is the father of Tiny Tim and a devoted husband, showing love and care for his family despite their struggles.\")##\n(\"entity\"<|>\"Mrs. Cratchit\"<|>\"person\"<|>\"Mrs. Cratchit, the wife of Bob, is industrious and caring, focused on the well-being of her family.\")##\n(\"entity\"<|>\"Peter\"<|>\"person\"<|>\"Peter is the son of Bob and Mrs. Cratchit, showing concern and support for his father and siblings.\")##\n(\"entity\"<|>\"Mr. Scrooge's Nephew\"<|>\"person\"<|>\"Mr. Scrooge's Nephew is a kind gentleman who expresses sympathy for Bob Cratchit and offers help, reflecting goodwill.\")##\n(\"entity\"<|>\"Christmas\"<|>\"event\"<|>\"Christmas is depicted as a time of gathering, warmth, and reflection for the Cratchit family.\")##\n(\"relationship\"<|>\"Bob Cratchit\"<|>\"Tiny Tim\"<|>\"Bob Cratchit shows deep love and sorrow for Tiny Tim, reflecting a father's bond with his child.\"<|>\"parental love, sorrow\"<|>10)##\n(\"relationship\"<|>\"Mrs. Cratchit\"<|>\"Bob Cratchit\"<|>\"Mrs. Cratchit supports Bob in caring for their family and exhibits her love for him and their children.\"<|>\"partnership, family bond\"<|>8)##\n(\"relationship\"<|>\"Mr. Scrooge's Nephew\"<|>\"Bob Cratchit\"<|>\"Mr. Scrooge's Nephew expresses sympathy and kindness towards Bob, reinforcing community and support.\"<|>\"kindness, community support\"<|>7)##\n(\"relationship\"<|>\"Peter\"<|>\"Bob Cratchit\"<|>\"Peter shows concern for Bob, participating actively in family discussions and support.\"<|>\"family support, concern\"<|>6)##\n(\"relationship\"<|>\"Tiny Tim\"<|>\"Christmas\"<|>\"Tiny Tim represents the spirit of Christmas, being cherished by family during this festive occasion.\"<|>\"innocence, holiday spirit\"<|>9)##\n(\"content_keywords\"<|>\"family, love, loss, kindness, Christmas\")<|COMPLETE|>", "model": "gpt-4o-mini" }, - "c250789d45734212bf94b46504d5afcf": { - "return": "(\"entity\"<|>\"Marley\"<|>\"person\"<|>\"Marley is a deceased character whose ghost appears to Scrooge, representing regret and the consequences of a life led without compassion.\")##\n(\"entity\"<|>\"The Knocker\"<|>\"geo\"<|>\"The Knocker on the door serves as a symbolic gateway to the supernatural events, being the first point of eerie interaction for Scrooge.\")##\n(\"entity\"<|>\"The Bell\"<|>\"geo\"<|>\"The Bell is described as a disused bell that starts to swing and ring during the haunting, signifying the onset of supernatural occurrences.\")##\n(\"entity\"<|>\"The Wine-Merchant's Cellar\"<|>\"geo\"<|>\"The Wine-Merchant's Cellar is a location that holds significance in the story, where sounds of dragging chains are heard, adding to the ghostly ambiance.\")##\n(\"entity\"<|>\"The Grate\"<|>\"geo\"<|>\"The Grate is part of Scrooge's room where a small fire burns, contributing to the bleak and cold atmosphere of his setting.\")##\n(\"entity\"<|>\"The Cask\"<|>\"geo\"<|>\"The Cask is part of the cellar, contributing to the sounds associated with Marley's Ghost and aiding in creating a sense of dread.\")##\n(\"entity\"<|>\"The Dressing-Gown\"<|>\"geo\"<|>\"The Dressing-Gown is worn by Scrooge, illustrating his solitary, night-time routine and emphasizing his isolation.\")##\n(\"entity\"<|>\"The Candle\"<|>\"geo\"<|>\"The Candle represents a source of light in Scrooge's dark life, emphasizing the contrast between warmth and isolation.\")##\n(\"entity\"<|>\"Darkness\"<|>\"concept\"<|>\"Darkness symbolizes the oppressive loneliness and despair in Scrooge's life, as well as the supernatural elements of the story.\")##\n(\"relationship\"<|>\"Scrooge\"<|>\"Marley\"<|>\"Scrooge's encounter with Marley’s Ghost serves as a confrontation with his past self and the life choices he regrets, depicting the theme of redemption.\"<|>\"redemption, confrontation\"<|>9)##\n(\"relationship\"<|>\"Marley\"<|>\"The Knocker\"<|>\"Marley is connected to the Knocker as the ghostly presence that Scrooge anticipates as he approaches his door, setting up the eerie tone of the haunting.\"<|>\"supernatural symbolism, foreshadowing\"<|>7)##\n(\"relationship\"<|>\"Scrooge\"<|>\"The Bell\"<|>\"The Bell's movement and sound foreshadow Marley's Ghost's appearance, enhancing the sense of impending supernatural activity in Scrooge's environment.\"<|>\"foreboding, supernatural\"<|>8)##\n(\"relationship\"<|>\"Marley's Ghost\"<|>\"The Wine-Merchant's Cellar\"<|>\"The sounds coming from The Wine-Merchant's Cellar amplify the haunting experience for Scrooge, linking the ghostly presence to a tangible location.\"<|>\"atmosphere, haunting\"<|>8)##\n(\"relationship\"<|>\"Scrooge\"<|>\"The Grate\"<|>\"The Grate's cold fire adds to the bleak setting of Scrooge's home, illustrating his disconnection from warmth and comfort before the supernatural events unfold.\"<|>\"isolation, setting mood\"<|>6)##\n(\"relationship\"<|>\"Scrooge\"<|>\"The Dressing-Gown\"<|>\"The Dressing-Gown emphasizes Scrooge's character as a solitary, reclusive man, reinforcing his isolation during the haunting.\"<|>\"characterization, solitude\"<|>7)##\n(\"relationship\"<|>\"Darkness\"<|>\"Scrooge\"<|>\"Darkness symbolizes Scrooge's internal feelings of isolation and regret, presenting the overall mood of his journey towards potential redemption.\"<|>\"themes, isolation\"<|>9)##\n(\"relationship\"<|>\"Marley's Ghost\"<|>\"The Candle\"<|>\"The Candle's light contrasts with the darkness of the haunting, representing the flicker of hope amidst Scrooge's despair.\"<|>\"hope, contrast\"<|>7)##\n(\"relationship\"<|>\"Scrooge\"<|>\"The Cask\"<|>\"The Cask is associated with the sounds of chains during the haunting, heightening Scrooge's fear and trepidation about the ghostly visit.\"<|>\"fear, tension\"<|>8)##\n<|COMPLETE|>", + "10c3ebd5e67ddaefba0e8292c3ba4c3e": { + "return": "(\"entity\"<|>\"Project Gutenberg\"<|>\"organization\"<|>\"Project Gutenberg is an organization that promotes the free distribution of electronic works and holds a compilation copyright for its collection.\")##\n(\"entity\"<|>\"The Foundation\"<|>\"organization\"<|>\"The Foundation, also known as the Project Gutenberg Literary Archive Foundation, owns the compilation copyright in the collection of Project Gutenberg electronic works.\")##\n(\"entity\"<|>\"A Christmas Carol\"<|>\"event\"<|>\"A Christmas Carol is a literary work available through Project Gutenberg, indicating its role in literature and public access.\")##\n(\"relationship\"<|>\"Project Gutenberg\"<|>\"The Foundation\"<|>\"Project Gutenberg operates under the governance of The Foundation, which oversees its copyright and distribution activities.\"<|>\"organizational structure, governance\"<|>8)##\n(\"relationship\"<|>\"Project Gutenberg\"<|>\"A Christmas Carol\"<|>\"A Christmas Carol is part of the collection offered by Project Gutenberg, highlighting its role in promoting literature.\" <|>\"literature promotion, public access\"<|>9)##\n(\"content_keywords\"<|>\"free distribution, public domain, literary works, copyright\")<|COMPLETE|>", + "model": "gpt-4o-mini" + }, + "b6d15714a948777d8db0132513bccee9": { + "return": "(\"entity\"<|>\"Scrooge\"<|>\"person\"<|>\"Scrooge is a central character experiencing emotional turmoil and reflection, undergoing significant transformations throughout the text.\")##\n(\"entity\"<|>\"Belle\"<|>\"person\"<|>\"Belle is Scrooge's former love, evidence of care and affection, now mentioned in the context of Scrooge’s memories.\")##\n(\"entity\"<|>\"Jacob Marley\"<|>\"person\"<|>\"Jacob Marley is Scrooge's deceased partner, who appears in spirit to influence Scrooge's journey towards redemption.\")##\n(\"entity\"<|>\"The Spirit\"<|>\"event\"<|>\"The Spirit refers to the ghostly apparitions that guide Scrooge through his reflections on life, past, present, and future.\")##\n(\"entity\"<|>\"Christmas\"<|>\"event\"<|>\"Christmas represents a time of joy and giving, contrasting with Scrooge's initial demeanor of disdain and solitude.\")##\n(\"entity\"<|>\"The Office\"<|>\"organization\"<|>\"The Office refers to Scrooge's workplace, emphasizing his isolation and the business-focused nature of his life.\")##\n(\"relationship\"<|>\"Scrooge\"<|>\"Belle\"<|>\"Scrooge reminisces about Belle and the love they shared, indicating a lost connection and regret.\"<|>\"nostalgia, lost love\"<|>8)##\n(\"relationship\"<|>\"Scrooge\"<|>\"Jacob Marley\"<|>\"Jacob Marley influences Scrooge's transformation by appearing as a spirit to warn him.\"<|>\"redemption, influence\"<|>9)##\n(\"relationship\"<|>\"Scrooge\"<|>\"The Spirit\"<|>\"The Spirit serves as the medium for Scrooge's journey of self-discovery and accountability.\"<|>\"guidance, self-reflection\"<|>10)##\n(\"relationship\"<|>\"The Spirit\"<|>\"Christmas\"<|>\"The Spirit's appearances highlight the themes of Christmas and the importance of compassion and community.\"<|>\"holiday spirit, compassion\"<|>7)##\n(\"relationship\"<|>\"Scrooge\"<|>\"The Office\"<|>\"Scrooge's office reflects his solitary and business-driven life, showcasing his disconnection from familial and social ties.\"<|>\"isolation, work ethic\"<|>6)##\n(\"content_keywords\"<|>\"redemption, love, Christmas spirit, transformation, isolation\")<|COMPLETE|>", + "model": "gpt-4o-mini" + }, + "6b8180301e5091df9244a7a3198abb51": { + "return": "(\"entity\"<|>\"The Turkey\"<|>\"event\"<|>\"The Turkey represents a key symbol of generosity and festivity during Christmas, as Scrooge purchases it to spread joy.\")##\n(\"entity\"<|>\"Bob\"<|>\"person\"<|>\"Bob is likely referenced as a character who may receive the turkey sent by Scrooge, highlighting the theme of generosity.\")##\n(\"entity\"<|>\"The Cab\"<|>\"event\"<|>\"The Cab is an event associated with transporting the turkey, illustrating the lengths to which Scrooge is willing to go to share joy.\")##\n(\"entity\"<|>\"The Street\"<|>\"geo\"<|>\"The Street represents the setting where Scrooge interacts with various characters and experiences joy, emphasizing the festive atmosphere.\")##\n(\"entity\"<|>\"The Knocker\"<|>\"event\"<|>\"The Knocker is a physical object that symbolizes Scrooge's newfound appreciation for the simple, honest joys of life during Christmas.\")##\n(\"entity\"<|>\"The People\"<|>\"organization\"<|>\"The People refer to the townsfolk whom Scrooge encounters, showcasing the communal spirit of Christmas.\")##\n(\"entity\"<|>\"The Kitchen\"<|>\"geo\"<|>\"The Kitchen is a location that Scrooge looks into, symbolizing warmth, family, and the spirit of hospitality during the holiday season.\")##\n(\"entity\"<|>\"Mistress\"<|>\"person\"<|>\"Mistress is referenced in relation to Fred, indicating the presence of family dynamics during the Christmas celebration.\")##\n(\"content_keywords\"<|>\"generosity, community spirit, holiday traditions, familial bonds\")<|COMPLETE|>", + "model": "gpt-4o-mini" + }, + "5f787a11337980d80fd28d5e22074583": { + "return": "(\"entity\"<|>\"Cratchit Family\"<|>\"organization\"<|>\"The Cratchit Family is depicted as a warm and loving household celebrating Christmas together, with various members actively participating in the festivities.\")##\n(\"entity\"<|>\"Bob Cratchit\"<|>\"person\"<|>\"Bob Cratchit is the father of the Cratchit family, dedicated to his children and caring for Tiny Tim's needs.\")##\n(\"entity\"<|>\"Martha\"<|>\"person\"<|>\"Martha is the daughter in the Cratchit family, who makes a dramatic entrance to surprise her family, highlighting the family's closeness.\")##\n(\"entity\"<|>\"Tiny Tim\"<|>\"person\"<|>\"Tiny Tim is a young boy in the Cratchit family who is a cripple, yet is portrayed with a hopeful spirit and brings joy to those around him.\")##\n(\"entity\"<|>\"Peter Cratchit\"<|>\"person\"<|>\"Peter Cratchit is one of the Cratchit children, shown to be active and enthusiastic during the Christmas celebration.\")##\n(\"entity\"<|>\"Cratchit Christmas Dinner\"<|>\"event\"<|>\"Cratchit Christmas Dinner is a festive occasion filled with joy, love, and togetherness as the family celebrates the holiday.\")##\n(\"relationship\"<|>\"Bob Cratchit\"<|>\"Tiny Tim\"<|>\"Bob Cratchit shows deep care for Tiny Tim, supporting him and expressing pride in his resilience, especially regarding Tiny Tim's reflective thoughts on Christmas.\"<|>\"father-son relationship, care\"<|>9)##\n(\"relationship\"<|>\"Martha\"<|>\"Bob Cratchit\"<|>\"Martha surprises Bob Cratchit by coming home late for Christmas dinner, showing the family's love and warmth in reunions.\"<|>\"family reunion, surprise\"<|>8)##\n(\"relationship\"<|>\"Cratchit Family\"<|>\"Cratchit Christmas Dinner\"<|>\"The Cratchit Family comes together to celebrate Christmas dinner, encapsulating their unity and joyful spirit during the holiday season.\"<|>\"family celebration, togetherness\"<|>10)##\n(\"relationship\"<|>\"Tiny Tim\"<|>\"Cratchit Family\"<|>\"Tiny Tim, despite his condition, brings joy to the Cratchit Family and fosters a sense of hope and love during their Christmas celebration.\"<|>\"hope, joy\"<|>10)##\n(\"content_keywords\"<|>\"family love, Christmas celebration, hope, togetherness\")<|COMPLETE|>", "model": "gpt-4o-mini" }, "75c99644e77c82502e8543b94d61350d": { - "return": "(\"entity\"<|>\"Joe\"<|>\"person\"<|>\"Joe is portrayed as a character engaged in a conversation about the deceased, displaying a mix of humor and practicality in dealing with the possessions of the dead.\")##\n(\"entity\"<|>\"The Woman\"<|>\"person\"<|>\"The Woman is a character involved in the dialogue about the deceased's belongings, showing a carefree attitude towards their former owner.\")##\n(\"entity\"<|>\"Scrooge\"<|>\"person\"<|>\"Scrooge is a central character who experiences horror and reflection as he witnesses the events surrounding the deceased and contemplates his own life.\")##\n(\"entity\"<|>\"The Deceased\"<|>\"person\"<|>\"The Deceased is a character discussed among Joe and the Woman, representing themes of avarice and death, although his identity is not revealed.\")##\n(\"entity\"<|>\"Death\"<|>\"concept\"<|>\"Death is described as a powerful force in the narrative, represented through the imagery of a cold, rigid presence and the contemplation of mortality.\")##\n(\"relationship\"<|>\"Joe\"<|>\"The Woman\"<|>\"Joe and The Woman engage in dialogue about the deceased's belongings, showcasing their interactions and differing attitudes towards death.\"<|>\"dialogue, humor, death\"<|>6)##\n(\"relationship\"<|>\"Scrooge\"<|>\"The Deceased\"<|>\"Scrooge reflects on the condition and life of The Deceased, equating his own life with the man's fate, indicating a profound contemplation of mortality.\"<|>\"reflection, mortality\"<|>8)##\n(\"relationship\"<|>\"Scrooge\"<|>\"Death\"<|>\"Scrooge grapples with the idea of Death as he witnesses the aftermath of The Deceased's life, leading to an inner turmoil.\"<|>\"existential crisis, contemplation\"<|>9)##\n(\"content_keywords\"<|>\"mortality, dialogue, reflection, death, avarice\")<|COMPLETE|>", + "return": "(\"entity\"<|>\"Joe\"<|>\"person\"<|>\"Joe is an old character who engages in conversation about the deceased man's belongings, revealing his pragmatic and somewhat cynical perspective on life and death.\")##\n(\"entity\"<|>\"The Woman\"<|>\"person\"<|>\"The Woman is another character who interacts with Joe, demonstrating a lack of reverence for the deceased and a focus on material gain.\")##\n(\"entity\"<|>\"Scrooge\"<|>\"person\"<|>\"Scrooge is a central character who experiences horror and reflection upon witnessing the treatment of the deceased, contemplating the moral implications of greed and death.\")##\n(\"entity\"<|>\"The Deceased Man\"<|>\"person\"<|>\"The Deceased Man is a character whose belongings are being discussed and whose death prompts reactions of horror and contemplation from Scrooge.\")##\n(\"entity\"<|>\"Death\"<|>\"concept\"<|>\"Death is depicted as a cold, inevitable force, prompting reflections on the value of life and the consequences of avarice.\")##\n(\"entity\"<|>\"The Bed\"<|>\"event\"<|>\"The Bed represents a significant scene where the deceased man's body is laid, evoking deep emotions and realizations about life and morality.\")##\n(\"relationship\"<|>\"Joe\"<|>\"The Woman\"<|>\"Joe and The Woman are engaged in a discussion about the deceased man’s belongings, illustrating their shared perspective on material possessions.\" <|>\"conversational dynamics, materialism\"<|>5)##\n(\"relationship\"<|>\"Scrooge\"<|>\"The Deceased Man\"<|>\"Scrooge reflects on the life and death of The Deceased Man, prompting introspection about his own life choices.\" <|>\"moral reflection, consequence\"<|>9)##\n(\"relationship\"<|>\"Joe\"<|>\"Scrooge\"<|>\"Joe's cynical attitude towards death and belongings contrasts with Scrooge's moral horror, creating a tension between their perspectives.\" <|>\"perspective contrast, moral dilemma\"<|>6)##\n(\"relationship\"<|>\"Death\"<|>\"The Bed\"<|>\"Death is inherently linked to The Bed as the resting place of the deceased, symbolizing the finality of life and the legacy left behind.\" <|>\"finality, mortality\"<|>8)##\n(\"content_keywords\"<|>\"materialism, mortality, moral reflection, avarice\")<|COMPLETE|>", "model": "gpt-4o-mini" }, - "933bd23f0f260c19afa06c88bc306289": { - "return": "(\"entity\"<|>\"The Mansion\"<|>\"geo\"<|>\"The Mansion is described as a large house of dull red brick, associated with Scrooge's childhood memories and reflecting the state of neglect.\")##\n(\"entity\"<|>\"The Spirit\"<|>\"organization\"<|>\"The Spirit is the entity that guides Scrooge through memories, prompting reflections on his past during the Christmas season.\")##\n(\"entity\"<|>\"The Solitary Child\"<|>\"person\"<|>\"The Solitary Child is a representation of Scrooge's younger self, neglected and alone in the school during Christmas, evoking emotions of sympathy and regret.\")##\n(\"entity\"<|>\"The Little Girl\"<|>\"person\"<|>\"The Little Girl is mentioned as appearing at the door, representing innocence and the enduring spirit of Christmas that contrasts with Scrooge's past.\")##\n(\"entity\"<|>\"The Stables\"<|>\"geo\"<|>\"The Stables are part of the Mansion's property, depicting the state of the neglected estate and surroundings.\")##\n(\"entity\"<|>\"The Chilly Hall\"<|>\"geo\"<|>\"The Chilly Hall is the entrance area of the Mansion where Scrooge begins to reflect on his past.\")##\n(\"entity\"<|>\"The Empty Storehouse\"<|>\"geo\"<|>\"The Empty Storehouse is mentioned as part of the Mansion, symbolizing decay and forgotten memories.\")##\n(\"content_keywords\"<|>\"remembrance, neglect, childhood neglect, emotional reflection\")<|COMPLETE|>", + "85a6fdce3cecbc860360511c4ac36275": { + "return": "(\"entity\"<|>\"The Cratchit Family\"<|>\"organization\"<|>\"The Cratchit Family consists of Bob, Mrs. Cratchit, Tiny Tim, and their children, characterized by their strong familial bonds and love for one another despite financial struggles.\")##\n(\"entity\"<|>\"The Two Young Cratchits\"<|>\"person\"<|>\"The Two Young Cratchits are siblings who show affection for their father, demonstrating the innocence and unity of childhood.\")##\n(\"entity\"<|>\"The Table\"<|>\"geo\"<|>\"The Table is where the Cratchit family gathers, representing their domestic life and togetherness.\")##\n(\"entity\"<|>\"The Room Above\"<|>\"geo\"<|>\"The Room Above is a space in the Cratchit household which is illuminated cheerfully, suggesting a haven despite their hardships.\")##\n(\"content_keywords\"<|>\"family dynamics, support, resilience, affection, holiday gathering\")<|COMPLETE|>", "model": "gpt-4o-mini" }, - "6f98316fbf0ffe67c9577902ce5acb18": { - "return": "(\"entity\"<|>\"The Counting-House\"<|>\"organization\"<|>\"The Counting-House is Scrooge's place of work, characterized by a gloomy demeanor and an atmosphere that reflects Scrooge's character.\")##\n(\"entity\"<|>\"Clerk\"<|>\"person\"<|>\"The Clerk is an unnamed character who serves Scrooge, exhibiting a hopeful disposition despite Scrooge's ill-tempered management.\")##\n(\"entity\"<|>\"Fog\"<|>\"geo\"<|>\"Fog is a weather condition mentioned that enhances the dreary atmosphere surrounding Scrooge's home and workplace.\")##\n(\"entity\"<|>\"Frost\"<|>\"geo\"<|>\"Frost is another atmospheric condition depicted, contributing to the cold and somber feeling of the environment during the story.\")##\n(\"entity\"<|>\"Camden Town\"<|>\"geo\"<|>\"Camden Town is a location where Bob Cratchit runs home to celebrate Christmas Eve, representing a more joyful and lively setting.\")##\n(\"entity\"<|>\"The Ghost of Marley\"<|>\"event\"<|>\"The Ghost of Marley is an event that is anticipated in the narrative, representing Scrooge's confrontation with his past and the supernatural.\")##\n(\"entity\"<|>\"Keyhole\"<|>\"concept\"<|>\"The Keyhole is a metaphorical representation of Scrooge's perspective and the barriers to his understanding of joy and connection.\")##\n(\"entity\"<|>\"The Knocker\"<|>\"concept\"<|>\"The Knocker is a physical object that becomes a symbol of Scrooge's psyche, transforming into Marley's face, representing his guilt and past.\")##\n(\"relationship\"<|>\"The Counting-House\"<|>\"Scrooge\"<|>\"The Counting-House is where Scrooge works, illustrating the environment that shapes his bleak personality.\"<|>\"work environment, character development\"<|>7)##\n(\"relationship\"<|>\"Scrooge\"<|>\"Clerk\"<|>\"The Clerk communicates with Scrooge about his work, highlighting the lack of mutual respect in their employer-employee relationship.\"<|>\"employment relationship, respect\"<|>5)##\n(\"relationship\"<|>\"Bob Cratchit\"<|>\"The Counting-House\"<|>\"Bob Cratchit works at The Counting-House, emphasizing his servitude and the dismal working conditions under Scrooge.\"<|>\"employment, servitude\"<|>6)##\n(\"relationship\"<|>\"Fog\"<|>\"Scrooge\"<|>\"Fog represents the obscured vision of Scrooge's soul and emotions, aligning with his unknowable nature.\"<|>\"atmosphere, emotional reflection\"<|>8)##\n(\"relationship\"<|>\"Frost\"<|>\"Scrooge\"<|>\"Frost enhances the chilling atmosphere around Scrooge's life and mindset, reflecting his cold character.\"<|>\"atmospheric condition, characterization\"<|>8)##\n(\"relationship\"<|>\"Camden Town\"<|>\"Bob Cratchit\"<|>\"Camden Town serves as a location representing warmth and family contrast to Scrooge's loneliness.\"<|>\"contrast, warmth\"<|>6)##\n(\"relationship\"<|>\"The Ghost of Marley\"<|>\"Scrooge\"<|>\"The Ghost of Marley symbolizes Scrooge's past mistakes and serves as a catalyst for his transformation.\"<|>\"supernatural, moral reckoning\"<|>9)##\n(\"relationship\"<|>\"The Knocker\"<|>\"Scrooge\"<|>\"The Knocker, transforming into Marley's face, symbolizes Scrooge's ghostly past and impending redemption challenges.\"<|>\"symbolism, transformation\"<|>9)##\n(\"content_keywords\"<|>\"supernatural influence, work dynamics, familial warmth, transformation\")<|COMPLETE|>", + "ae027fae1a5f9d6a056ff95c9e55fd51": { + "return": "(\"entity\"<|>\"Bob Cratchit\"<|>\"person\"<|>\"Bob Cratchit is a father figure who expresses happiness and is concerned for his family, specifically Tiny Tim's well-being.\")##\n(\"entity\"<|>\"Tiny Tim\"<|>\"person\"<|>\"Tiny Tim is a young child, representing innocence and goodness, whose essence is revered by his family.\")##\n(\"entity\"<|>\"Scrooge\"<|>\"person\"<|>\"Scrooge is a character who undergoes a profound transformation, grappling with his past, present, and future through the visits of spirits.\")##\n(\"entity\"<|>\"Jacob Marley\"<|>\"person\"<|>\"Jacob Marley is the deceased partner of Scrooge who shows concern for Scrooge's fate and the importance of change in his life.\")##\n(\"entity\"<|>\"Christmas\"<|>\"event\"<|>\"Christmas represents a time of goodwill and change, which Scrooge decides to embrace fully in his life moving forward.\")##\n(\"entity\"<|>\"The Ghost of Christmas Yet to Come\"<|>\"organization\"<|>\"The Ghost of Christmas Yet to Come is a spirit that shows Scrooge the consequences of his actions, pointing toward his eventual demise.\")##\n(\"entity\"<|>\"Grave\"<|>\"geo\"<|>\"The Grave represents a place where Scrooge's future self lies, symbolizing death and the consequences of a life unexamined.\")##\n(\"relationship\"<|>\"Bob Cratchit\"<|>\"Tiny Tim\"<|>\"Bob Cratchit shows deep concern and love for his son, Tiny Tim, highlighting the family dynamics and attachment in their household.\"<|>\"family bond, love\"<|>9)##\n(\"relationship\"<|>\"Scrooge\"<|>\"Tiny Tim\"<|>\"Scrooge reflects on Tiny Tim's essence and the impact of his potential death, considering how it could prompt him to change his ways.\"<|>\"reflection, transformation\"<|>8)##\n(\"relationship\"<|>\"Scrooge\"<|>\"Jacob Marley\"<|>\"Jacob Marley warns Scrooge about his fate and the importance of change, acting as a catalyst for Scrooge's transformation.\"<|>\"warning, catalyst\"<|>9)##\n(\"relationship\"<|>\"Scrooge\"<|>\"The Ghost of Christmas Yet to Come\"<|>\"The Ghost of Christmas Yet to Come shows Scrooge the consequences of his life choices, prompting introspection and desire for change.\"<|>\"consequence, introspection\"<|>10)##\n(\"relationship\"<|>\"Scrooge\"<|>\"Grave\"<|>\"Scrooge is confronted with his own grave, symbolizing the ultimate outcome of his current lifestyle and actions.\"<|>\"mortality, reflection\"<|>10)##\n(\"relationship\"<|>\"Christmas\"<|>\"Scrooge\"<|>\"Christmas becomes a focal point for Scrooge's promise to change and embrace life, symbolizing hope and renewal.\"<|>\"renewal, change\"<|>9)##\n(\"content_keywords\"<|>\"transformation, family, reflection, change, mortality\")<|COMPLETE|>", "model": "gpt-4o-mini" }, - "09bcfbc45e8dca5a2c7d3008a6d4d077": { - "return": "(\"entity\"<|>\"Scrooge's Nephew\"<|>\"person\"<|>\"Scrooge's Nephew is characterized by his contagious laughter and good humor, contrasting with his uncle's miserliness.\")##\n(\"entity\"<|>\"Scrooge's Niece\"<|>\"person\"<|>\"Scrooge's Niece is depicted as a beautiful and lively character who expresses strong opinions about her uncle Scrooge.\")##\n(\"entity\"<|>\"Scrooge\"<|>\"person\"<|>\"Scrooge is described as a comical old fellow who has a reputation for being miserly and dislikes Christmas.\")##\n(\"entity\"<|>\"Topper\"<|>\"person\"<|>\"Topper is a character who participates in the dinner and seems to have an interest in one of Scrooge's niece's sisters.\")##\n(\"entity\"<|>\"Christmas\"<|>\"event\"<|>\"Christmas is presented as a time for merriment and social gatherings, which Scrooge's nephew advocates for despite his uncle's opposition.\")##\n(\"relationship\"<|>\"Scrooge's Nephew\"<|>\"Scrooge\"<|>\"Scrooge's Nephew contrasts with Scrooge, advocating for merriment and showing pity for his uncle's ill tempers.\"<|>\"family dynamics, contrasting views\"<|>8)##\n(\"relationship\"<|>\"Scrooge's Niece\"<|>\"Scrooge\"<|>\"Scrooge's Niece expresses indignation towards Scrooge's belief that Christmas is a humbug, demonstrating her strong opinions against his views.\"<|>\"ideological conflict, family dynamics\"<|>7)##\n(\"relationship\"<|>\"Scrooge's Nephew\"<|>\"Scrooge's Niece\"<|>\"Scrooge's Nephew and Scrooge's Niece share a humorous dynamic, both laughing and contrasting with Scrooge's grim outlook.\"<|>\"shared humor, family bonding\"<|>8)##\n(\"relationship\"<|>\"Topper\"<|>\"Scrooge's Niece\"<|>\"Topper shows interest in Scrooge's Niece, indicating a budding romantic interest during the family gathering.\"<|>\"romantic interest, social dynamics\"<|>6)##\n(\"content_keywords\"<|>\"family dynamics, humor, Christmas, ideological conflict\")<|COMPLETE|>", + "f36cccb2f6122a29414c9ed057806f4e": { + "return": "(\"entity\"<|>\"Scrooge\"<|>\"person\"<|>\"Scrooge is a central character, observing and interacting with the Spirit of Christmas Present, reflecting on themes of generosity and social responsibility.\")##\n(\"entity\"<|>\"Spirit of Christmas Present\"<|>\"person\"<|>\"The Spirit of Christmas Present embodies the spirit of generosity and compassion, showing Scrooge scenes of joy and festivity among the poor.\")##\n(\"entity\"<|>\"Bob Cratchit\"<|>\"person\"<|>\"Bob Cratchit is Scrooge's clerk, depicted as a struggling yet loving family man, whose household is blessed by the Spirit.\")##\n(\"entity\"<|>\"Mrs. Cratchit\"<|>\"person\"<|>\"Mrs. Cratchit is Bob's wife, portrayed as devoted and hardworking, striving to create a joyous atmosphere for her family despite limited resources.\")##\n(\"entity\"<|>\"Belinda Cratchit\"<|>\"person\"<|>\"Belinda Cratchit is one of Bob's daughters, assisting in household tasks and showing a strong familial bond.\")##\n(\"entity\"<|>\"Peter Cratchit\"<|>\"person\"<|>\"Peter Cratchit is Bob's son, excited about his clothing and preparing a festive meal, symbolizing youthful innocence and hope.\")##\n(\"entity\"<|>\"The Cratchit Household\"<|>\"organization\"<|>\"The Cratchit Household represents a loving family unit, managing to find joy despite their financial struggles.\")##\n(\"entity\"<|>\"Christmas Day\"<|>\"event\"<|>\"Christmas Day is portrayed as a day of celebration and gathering, emphasizing themes of togetherness and generosity.\")##\n(\"relationship\"<|>\"Scrooge\"<|>\"Spirit of Christmas Present\"<|>\"Scrooge interacts with the Spirit of Christmas Present, who shows him the joys of Christmas and the importance of generosity.\"<|>\"transformation, generosity\"<|>8)##\n(\"relationship\"<|>\"Spirit of Christmas Present\"<|>\"Bob Cratchit\"<|>\"The Spirit blesses Bob Cratchit’s dwelling, symbolizing the recognition of the Cratchit family's struggles and joys on Christmas Day.\"<|>\"blessing, compassion\"<|>9)##\n(\"relationship\"<|>\"Bob Cratchit\"<|>\"The Cratchit Household\"<|>\"Bob Cratchit leads his family, representing resilience and love in the face of hardship, which is celebrated by the Spirit.\"<|>\"family, support\"<|>8)##\n(\"relationship\"<|>\"Mrs. Cratchit\"<|>\"The Cratchit Household\"<|>\"Mrs. Cratchit contributes to the family’s efforts to celebrate Christmas, demonstrating dedication and caring.\"<|>\"dedication, familial love\"<|>7)##\n(\"relationship\"<|>\"Belinda Cratchit\"<|>\"The Cratchit Household\"<|>\"Belinda plays an active role in the household duties, reinforcing the theme of cooperation and togetherness.\"<|>\"cooperation, family bonds\"<|>6)##\n(\"relationship\"<|>\"Peter Cratchit\"<|>\"Mrs. Cratchit\"<|>\"Peter demonstrates youthful excitement and contributes to the household, showcasing the joy found even in modest circumstances.\"<|>\"youthful joy, family dynamics\"<|>7)##\n(\"content_keywords\"<|>\"Christmas spirit, family, generosity, social responsibility\")<|COMPLETE|>", "model": "gpt-4o-mini" }, - "50af407f80d189a9540c6254bfc56182": { - "return": "(\"entity\"<|>\"The Boy\"<|>\"person\"<|>\"The Boy is a character mentioned briefly, who tries to hide behind another girl, indicating shyness among the festive crowd.\")##\n(\"entity\"<|>\"The Girl\"<|>\"person\"<|>\"The Girl is referenced in relation to The Boy, highlighting the dynamics of the young attendees at the Fezziwig's celebrations.\")##\n(\"entity\"<|>\"The Fiddler\"<|>\"person\"<|>\"The Fiddler is a musician who plays during the festivities, contributing to the atmosphere of joy and celebration.\")##\n(\"entity\"<|>\"Mrs. Fezziwig's Three Misses\"<|>\"person\"<|>\"Mrs. Fezziwig's Three Misses are her daughters, described as beaming and lovable, participating in the Christmas festivities.\")##\n(\"entity\"<|>\"The Young Followers\"<|>\"person\"<|>\"The Young Followers are young men and women employed by Fezziwig, who interact during the dances, showing youthful exuberance.\")##\n(\"entity\"<|>\"The Housemaid\"<|>\"person\"<|>\"The Housemaid is mentioned as part of the domestic staff involved in the celebration, contributing to the jovial atmosphere.\")##\n(\"entity\"<|>\"The Cook\"<|>\"person\"<|>\"The Cook is part of the household and participates in the festive gathering, alongside other staff.\")##\n(\"entity\"<|>\"The Baker\"<|>\"person\"<|>\"The Baker is a cousin to the housemaid, indicating the interconnectedness of the household staff during the festivities.\")##\n(\"entity\"<|>\"Cold Roast\"<|>\"food\"<|>\"Cold Roast is a dish served during the celebration, adding to the festive feast prepared by Fezziwig.\")##\n(\"entity\"<|>\"Cold Boiled\"<|>\"food\"<|>\"Cold Boiled is another dish mentioned, part of the spread during the festivities at Fezziwig's celebration.\")##\n(\"entity\"<|>\"Mince-Pies\"<|>\"food\"<|>\"Mince-Pies are a type of dessert featured at the celebration, contributing to the festive feast.\")##\n(\"entity\"<|>\"Negus\"<|>\"food\"<|>\"Negus is a drink served during the festivities, adding to the array of refreshments available.\")##\n(\"entity\"<|>\"The Warehouse\"<|>\"location\"<|>\"The Warehouse is the setting for Fezziwig's celebrations, transformed into a ballroom for the festivities.\")##\n(\"relationship\"<|>\"The Fiddler\"<|>\"The Dance\"<|>\"The Fiddler provides music for The Dance, enhancing the celebratory atmosphere of the event.\"<|>\"music, celebration\"<|>9)##\n(\"relationship\"<|>\"Fezziwig\"<|>\"The Young Followers\"<|>\"Fezziwig's celebration involves the Young Followers, highlighting the festive and communal aspect of the gathering.\"<|>\"festivity, community\"<|>8)##\n(\"relationship\"<|>\"Mrs. Fezziwig\"<|>\"The Young Followers\"<|>\"Mrs. Fezziwig interacts with the Young Followers during the festivities, showcasing warmth and hospitality.\"<|>\"hospitality, warmth\"<|>7)##\n(\"relationship\"<|>\"The Housemaid\"<|>\"The Bake\"<|>\"The Housemaid and The Baker are connected through their roles in the household during the festive gathering.\"<|>\"staff dynamics, celebration\"<|>6)##\n(\"relationship\"<|>\"The Dance\"<|>\"Cold Roast\"<|>\"Cold Roast is part of the festivities during The Dance, providing nourishment to the guests.\"<|>\"food, celebration\"<|>8)##\n(\"relationship\"<|>\"The Dance\"<|>\"Mince-Pies\"<|>\"Mince-Pies are served during The Dance, adding to the festive spirit of the gathering.\"<|>\"food, celebration\"<|>7)##\n(\"relationship\"<|>\"The Dance\"<|>\"Negus\"<|>\"Negus complements the festivities of The Dance, contributing to the overall celebration.\"<|>\"beverages, festivity\"<|>8)##\n(\"content_keywords\"<|>\"joviality, community, festive atmosphere, traditional foods\")<|COMPLETE|>", + "f77d8d11b2e499cc9287be7a5000801b": { + "return": "(\"entity\"<|>\"Scrooge\"<|>\"person\"<|>\"Scrooge is a central character who undergoes a transformation and experiences visions of his past, present, and future.\")##\n(\"entity\"<|>\"The Ghost\"<|>\"event\"<|>\"The Ghost represents a supernatural entity that shows Scrooge various scenes from his life, influencing his emotional state and ultimate redemption.\")##\n(\"entity\"<|>\"The Beautiful Young Girl\"<|>\"person\"<|>\"The Beautiful Young Girl is a figure from Scrooge's past, representing lost opportunities and innocence.\")##\n(\"entity\"<|>\"The Comely Matron\"<|>\"person\"<|>\"The Comely Matron is the grown-up version of the Beautiful Young Girl, emphasizing change and the passage of time.\")##\n(\"entity\"<|>\"The Children\"<|>\"person\"<|>\"The Children are a lively group in the matron's home, symbolizing joy, chaos, and familial warmth.\")##\n(\"entity\"<|>\"Christmas Toys and Presents\"<|>\"event\"<|>\"Christmas Toys and Presents are associated with familial love and joy, as they arrive with the father, enhancing the holiday spirit.\")##\n(\"relationship\"<|>\"Scrooge\"<|>\"The Beautiful Young Girl\"<|>\"Scrooge reflects on his past relationship with the young girl, which holds significance in understanding his character's regrets.\"<|>\"nostalgia, lost love\"<|>8)##\n(\"relationship\"<|>\"Scrooge\"<|>\"The Ghost\"<|>\"The Ghost influences Scrooge's journey by revealing his past, driving the narrative of his redemption.\"<|>\"supernatural guidance, transformation\"<|>9)##\n(\"relationship\"<|>\"The Beautiful Young Girl\"<|>\"The Comely Matron\"<|>\"The Beautiful Young Girl evolves into The Comely Matron, representing the effects of time and choices made.\"<|>\"change, passage of time\"<|>7)##\n(\"relationship\"<|>\"The Comely Matron\"<|>\"The Children\"<|>\"The Comely Matron fosters a lively environment with The Children, highlighting familial love and joy.\"<|>\"family bonds, joy\"<|>8)##\n(\"relationship\"<|>\"The Father\"<|>\"The Children\"<|>\"The Father returns home with gifts, reinforcing familial ties and the festive atmosphere.\"<|>\"family reunion, festivities\"<|>9)##\n(\"content_keywords\"<|>\"redemption, nostalgia, familial love, transformation\")<|COMPLETE|>", "model": "gpt-4o-mini" }, - "fe25dacdf5d1e0b2f5fb48141271e005": { - "return": "(\"entity\"<|>\"Fred\"<|>\"person\"<|>\"Fred is Ebenezer Scrooge's lively nephew, who embodies the spirit of Christmas and contrasts with Scrooge's misanthropy by inviting him to family gatherings.\")##\n(\"entity\"<|>\"Mr. Fezziwig\"<|>\"person\"<|>\"Mr. Fezziwig is a kind-hearted old merchant who served as a mentor to Scrooge, representing generosity and the joy of Christmas through his festive parties.\")##\n(\"entity\"<|>\"Mrs. Cratchit\"<|>\"person\"<|>\"Mrs. Cratchit is Bob Cratchit's supportive wife, who strives to provide for her family despite their financial struggles and embodies resilience.\")##\n(\"entity\"<|>\"Belinda Cratchit\"<|>\"person\"<|>\"Belinda is a daughter of Bob and Mrs. Cratchit, representing the Cratchit family's love and unity during difficult times.\")##\n(\"entity\"<|>\"Martha Cratchit\"<|>\"person\"<|>\"Martha is another daughter of Bob and Mrs. Cratchit, who, like her sister Belinda, symbolizes the warmth and togetherness in the Cratchit household.\")##\n(\"entity\"<|>\"Joe\"<|>\"person\"<|>\"Joe is a marine-store dealer depicted as receiving stolen goods, illustrating the consequences of crime and the darker sides of society.\")##\n(\"entity\"<|>\"Ghost of Jacob Marley\"<|>\"event\"<|>\"The Ghost of Jacob Marley is Scrooge's deceased business partner who returns as a spirit to warn Scrooge about the consequences of his life choices and to encourage change.\")##\n(\"entity\"<|>\"Fan\"<|>\"person\"<|>\"Fan is Scrooge's caring sister who represents innocence and love, showcasing a more tender side of Scrooge’s past.\")##\n(\"entity\"<|>\"Mrs. Fezziwig\"<|>\"person\"<|>\"Mrs. Fezziwig is the kind partner of Mr. Fezziwig, contributing to the festive atmosphere of their celebrations, emphasizing the importance of joyous gatherings.\")##\n(\"content_keywords\"<|>\"Christmas spirit, family, generosity, social dynamics\")<|COMPLETE|>", + "596ac46576474fa7c137975ee2b863b8": { + "return": "(\"entity\"<|>\"Scrooge\"<|>\"person\"<|>\"Scrooge is a pivotal character in the story, known for his transformation from a miserly figure to one filled with the spirit of Christmas.\")##\n(\"entity\"<|>\"Fred\"<|>\"person\"<|>\"Fred is Scrooge's nephew who expresses admiration for Scrooge and raises a toast to his uncle during a Christmas gathering.\")##\n(\"entity\"<|>\"Spirit\"<|>\"concept\"<|>\"The Spirit represents a supernatural entity guiding Scrooge and teaching him lessons about compassion and humanity.\")##\n(\"entity\"<|>\"Christmas Holidays\"<|>\"event\"<|>\"Christmas Holidays signify a time for celebration, reflection, and reconciliation, playing a critical role in Scrooge's transformation.\")##\n(\"entity\"<|>\"Ignorance\"<|>\"concept\"<|>\"Ignorance refers to one of the two children presented by the Spirit, symbolizing societal neglect and the consequences of lack of awareness.\")##\n(\"entity\"<|>\"Want\"<|>\"concept\"<|>\"Want is represented as the second child shown by the Spirit, symbolizing the dire social conditions and needs of the impoverished.\")##\n(\"relationship\"<|>\"Fred\"<|>\"Scrooge\"<|>\"Fred expresses admiration and gratitude for Scrooge, highlighting the family connection and the hope for Scrooge's redemption.\"<|>\"family ties, redemption\"<|>7)##\n(\"relationship\"<|>\"Spirit\"<|>\"Scrooge\"<|>\"The Spirit serves as a guide for Scrooge, showing him visions that lead to his personal transformation and moral awakening.\"<|>\"guidance, transformation\"<|>9)##\n(\"relationship\"<|>\"Scrooge\"<|>\"Christmas Holidays\"<|>\"Christmas Holidays are integral to Scrooge's journey, representing the time of year that prompts his change and reinstates joy.\"<|>\"transformation, significance of time\"<|>8)##\n(\"relationship\"<|>\"Spirit\"<|>\"Ignorance\"<|>\"The Spirit introduces Ignorance to Scrooge as a representation of societal failures, urging him to acknowledge and address these issues.\"<|>\"social issues, awareness\"<|>8)##\n(\"relationship\"<|>\"Spirit\"<|>\"Want\"<|>\"The Spirit presents Want along with Ignorance, symbolizing the plight of the less fortunate and appealing for compassion.\"<|>\"social issues, need for compassion\"<|>8)##\n(\"content_keywords\"<|>\"transformation, family ties, societal issues, compassion, Christmas spirit\")<|COMPLETE|>", "model": "gpt-4o-mini" }, - "455c4a7b963c1fcad74e0724d83d7b3a": { - "return": "(\"entity\"<|>\"Scrooge\"<|>\"person\"<|>\"Scrooge is a central character experiencing a transformative journey as he reflects on death and its impact on others, showcasing his internal struggle and growth.\")##\n(\"entity\"<|>\"Spirit\"<|>\"concept\"<|>\"The Spirit represents a supernatural entity guiding Scrooge through his reflections on life, death, and human emotions, prompting self-awareness.\")##\n(\"entity\"<|>\"Caroline\"<|>\"person\"<|>\"Caroline is a character representing hope and emotional depth, reacting to her husband's news about their financial situation with a mixture of dread and optimism.\")##\n(\"entity\"<|>\"Bob Cratchit\"<|>\"person\"<|>\"Bob Cratchit is depicted as a struggling father, representative of familial love and concern, particularly for his children, including Tiny Tim.\")##\n(\"entity\"<|>\"Tiny Tim\"<|>\"person\"<|>\"Tiny Tim is a symbol of innocence and vulnerability within the Cratchit family, evoking compassion and highlighting the harsh realities of illness and poverty.\")##\n(\"entity\"<|>\"Cratchit Family\"<|>\"organization\"<|>\"The Cratchit family represents a unit bound by love and resilience in the face of adversity, dealing with emotional and financial struggles.\")##\n(\"entity\"<|>\"Death\"<|>\"event\"<|>\"Death refers to the passing of a character that triggers a range of emotions and reflections among the living, influencing their lives and relationships.\")##\n(\"relationship\"<|>\"Scrooge\"<|>\"Spirit\"<|>\"Scrooge learns from the Spirit about the consequences of his actions and the sentiments evoked by death, leading to personal growth.\"<|>\"reflection, guidance\"<|>8)##\n(\"relationship\"<|>\"Caroline\"<|>\"Bob Cratchit\"<|>\"Caroline expresses hope combined with anxiety regarding their financial situation, affecting her relationship with Bob Cratchit.\"<|>\"hope, financial strain\"<|>7)##\n(\"relationship\"<|>\"Bob Cratchit\"<|>\"Tiny Tim\"<|>\"Bob Cratchit's concern for Tiny Tim illustrates the deep familial love and the challenges facing the Cratchit family.\"<|>\"family love, vulnerability\"<|>9)##\n(\"relationship\"<|>\"Cratchit Family\"<|>\"Death\"<|>\"The death event impacts the Cratchit family deeply, influencing their emotional state and perceptions of hope and kindness.\"<|>\"grief, family dynamics\"<|>8)##\n(\"relationship\"<|>\"Scrooge\"<|>\"Cratchit Family\"<|>\"Scrooge's reflections on the Cratchit family's situation symbolize his evolving understanding of compassion and social responsibility.\"<|>\"compassion, social awareness\"<|>7)##\n(\"content_keywords\"<|>\"transformation, family dynamics, death, compassion\")<|COMPLETE|>", + "09bcfbc45e8dca5a2c7d3008a6d4d077": { + "return": "(\"entity\"<|>\"Scrooge's Nephew\"<|>\"person\"<|>\"Scrooge's Nephew is a jovial character known for his infectious laughter and optimistic attitude towards Christmas, finding humor in Scrooge's ill temper and wealth.\")##\n(\"entity\"<|>\"Scrooge's Niece\"<|>\"person\"<|>\"Scrooge's Niece is a lively character who expresses indignation towards Scrooge's disdain for Christmas and embodies warmth and charm, showing affection and concern for family.\")##\n(\"entity\"<|>\"Scrooge\"<|>\"person\"<|>\"Scrooge is portrayed as a comical yet irritable old man who is wealthy but reclusive, exhibiting a disdain for Christmas and the merriment that accompanies it.\")##\n(\"entity\"<|>\"Topper\"<|>\"person\"<|>\"Topper is a member of Scrooge's Niece's social group, characterized by his playful manner and romantic interests, notably towards one of Scrooge's Niece's sisters.\")##\n(\"entity\"<|>\"Christmas\"<|>\"event\"<|>\"Christmas is referenced as a holiday that Scrooge's Nephew is passionate about, contrasting sharply with Scrooge's cynical view of it as a humbug.\")##\n(\"relationship\"<|>\"Scrooge's Nephew\"<|>\"Scrooge\"<|>\"Scrooge's Nephew often expresses pity for Scrooge, believing that Scrooge loses more by avoiding family gatherings and Christmas cheer.\"<|>\"family, festive spirit\"<|>8)##\n(\"relationship\"<|>\"Scrooge's Niece\"<|>\"Scrooge\"<|>\"Scrooge's Niece shows indignation toward Scrooge's negativity about Christmas, highlighting the familial tensions between them.\"<|>\"family conflict, holiday spirit\"<|>7)##\n(\"relationship\"<|>\"Scrooge's Nephew\"<|>\"Scrooge's Niece\"<|>\"Scrooge's Nephew and Scrooge's Niece share laughter and a good-natured attitude towards Christmas, contrasting with Scrooge's sternness.\"<|>\"shared joy, familial bond\"<|>9)##\n(\"relationship\"<|>\"Topper\"<|>\"Scrooge's Niece\"<|>\"Topper displays interest in Scrooge's Niece, which adds a light-hearted romantic element to the scene.\"<|>\"romance, social interaction\"<|>6)##\n(\"content_keywords\"<|>\"family dynamics, Christmas spirit, humor, social interaction\")<|COMPLETE|>", "model": "gpt-4o-mini" }, - "116ac1ae1f082545ac96dbcd9c9b9366": { - "return": "(\"entity\"<|>\"Scrooge\"<|>\"person\"<|>\"Scrooge is a character who experiences a transformation, feeling joyful and generous as he interacts with others after Christmas.\")##\n(\"entity\"<|>\"Bob\"<|>\"person\"<|>\"Bob is referenced humorously by Scrooge in the context of a joke regarding a large turkey.\")##\n(\"entity\"<|>\"Camden Town\"<|>\"geo\"<|>\"Camden Town is a location mentioned in relation to the logistics of transporting a large turkey.\" )##\n(\"entity\"<|>\"Fred\"<|>\"person\"<|>\"Fred is Scrooge's nephew, mentioned in the context of Scrooge's visit to his house.\")##\n(\"entity\"<|>\"Christmas\"<|>\"event\"<|>\"Christmas is a festive occasion that has led to a joyful transformation in Scrooge's character and actions.\")##\n(\"relationship\"<|>\"Scrooge\"<|>\"Bob\"<|>\"Scrooge makes a humorous comment about sending a large turkey to Bob, indicating a lighthearted relationship.\" <|>\"humor, generosity\"<|>6)##\n(\"relationship\"<|>\"Scrooge\"<|>\"Fred\"<|>\"Scrooge expresses a desire to visit Fred, which signifies a reconciliatory gesture toward his family.\"<|>\"family connection, reconciliation\"<|>8)##\n(\"relationship\"<|>\"Scrooge\"<|>\"Christmas\"<|>\"Scrooge's transformation and newfound joy are directly linked to the spirit of Christmas.\" <|>\"transformation, festive spirit\"<|>9)##\n(\"relationship\"<|>\"Scrooge\"<|>\"Camden Town\"<|>\"Scrooge mentions Camden Town in relation to the impracticality of delivering a large turkey there.\" <|>\"logistics, festive preparation\"<|>5)##\n(\"content_keywords\"<|>\"transformation, joy, Christmas spirit, family connection\")<|COMPLETE|>", + "e3d312cd2f7557186eea60b2055b49cd": { + "return": "(\"entity\"<|>\"Project Gutenberg\"<|>\"organization\"<|>\"Project Gutenberg is an organization dedicated to the free distribution of electronic works, relying on volunteers and donations to maintain its collection.\")##\n(\"entity\"<|>\"Project Gutenberg Literary Archive Foundation\"<|>\"organization\"<|>\"The Project Gutenberg Literary Archive Foundation is a non-profit institution established to secure the future of Project Gutenberg's activities and contributions.\")##\n(\"entity\"<|>\"Mississippi\"<|>\"geo\"<|>\"Mississippi is a state in the United States, where the Project Gutenberg Literary Archive Foundation is organized under local laws.\")##\n(\"entity\"<|>\"Salt Lake City\"<|>\"geo\"<|>\"Salt Lake City is the location of the business office of the Project Gutenberg Literary Archive Foundation.\")##\n(\"entity\"<|>\"Volunteers\"<|>\"person\"<|>\"Volunteers play a crucial 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"b6b7ff341b9bd752ea8b41a554606275": { + "return": "(\"entity\"<|>\"Mrs. Cratchit\"<|>\"person\"<|>\"Mrs. Cratchit is Bob's wife, who expresses care for her family and shares in the emotional moments surrounding Tiny Tim's health.\")##\n(\"entity\"<|>\"Peter Cratchit\"<|>\"person\"<|>\"Peter Cratchit is one of Bob Cratchit's children, involved in family dynamics and interactions surrounding Tiny Tim.\")##\n(\"entity\"<|>\"The Spirit\"<|>\"concept\"<|>\"The Spirit represents the collective essence of the Christmas spirits, signifying guidance, memory, and influence over personal transformation.\")##\n(\"entity\"<|>\"The Office\"<|>\"geo\"<|>\"The Office is Scrooge's workplace, signifying his past life and the memories associated with his business dealings.\")##\n(\"entity\"<|>\"The Gravestone\"<|>\"geo\"<|>\"The Gravestone bears Scrooge's name and symbolizes mortality and the legacy of his actions during his lifetime.\")##\n(\"entity\"<|>\"The Future\"<|>\"concept\"<|>\"The Future refers 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an appraiser of stolen goods and demonstrating a tendency to be generous towards women.\"<|>\"business interaction, appraisal\"<|>6)## \n(\"relationship\"<|>\"Mrs. Dilber\"<|>\"The Woman\"<|>\"Mrs. Dilber and The Woman share a conversational dynamic that touches on the moral implications of their actions, creating a camaraderie as they discuss the deceased.\"<|>\"moral discussion, camaraderie\"<|>5)## \n(\"relationship\"<|>\"Old Joe\"<|>\"The Shop\"<|>\"Old Joe's activities, including the appraisal of stolen items, solidify the shop's role as a hub for unscrupulous dealings.\"<|>\"business hub, unscrupulous dealings\"<|>8)## \n(\"content_keywords\"<|>\"moral ambiguity, camaraderie, valuation, stolen goods\")<|COMPLETE|>", + "e4bf76af1cce5edac2ee730a99f9be4c": { + "return": "(\"entity\"<|>\"Mrs. Cratchit\"<|>\"person\"<|>\"Mrs. Cratchit is the mother of the Cratchit family, depicted as nurturing and energetic, managing the Christmas preparations and caring for her children.\")##\n(\"entity\"<|>\"The Goose\"<|>\"event\"<|>\"The Goose is a central element of the Cratchit Christmas dinner, representing abundance and the joy of the holiday as the family eagerly anticipates its serving.\")##\n(\"entity\"<|>\"The Young Cratchits\"<|>\"organization\"<|>\"The Young Cratchits are the children in the Cratchit family who contribute to the lively atmosphere, expressing excitement and involvement in the Christmas celebrations.\")##\n(\"entity\"<|>\"The Pudding\"<|>\"event\"<|>\"The Pudding is a traditional dish served at the Cratchit Christmas dinner, symbolizing festive joy and family gatherings.\")##\n(\"entity\"<|>\"The Fire\"<|>\"event\"<|>\"The Fire represents warmth and comfort in the Cratchit household, inviting family members to gather around during their Christmas celebration.\")##\n(\"relationship\"<|>\"Mrs. Cratchit\"<|>\"Cratchit Christmas Dinner\"<|>\"Mrs. Cratchit plays a vital role in organizing and preparing the Christmas dinner, showcasing her dedication to the family.\"<|>\"family dedication, celebration\"<|>9)##\n(\"relationship\"<|>\"The Goose\"<|>\"Cratchit Christmas Dinner\"<|>\"The Goose is the centerpiece of the Cratchit Christmas dinner, symbolizing the family's festive spirit and shared joy.\"<|>\"central dish, festive tradition\"<|>10)##\n(\"relationship\"<|>\"The Young Cratchits\"<|>\"Tiny Tim\"<|>\"The Young Cratchits enthusiastically engage with Tiny Tim during the celebrations, highlighting the loving dynamics of the Cratchit family.\"<|>\"sibling bond, family dynamics\"<|>8)##\n(\"relationship\"<|>\"Tiny Tim\"<|>\"The Fire\"<|>\"Tiny Tim is seen being supported by the family at the warmth of the Fire, which adds comfort and cheer to their gathering.\"<|>\"warmth, family support\"<|>8)##\n(\"relationship\"<|>\"The Pudding\"<|>\"Cratchit Christmas Dinner\"<|>\"The Pudding is an important dish that signals the culmination of the Cratchit Christmas dinner, emphasizing the joy and festivity of the 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govern the use and distribution of works associated with Project Gutenberg.\")##\n(\"relationship\"<|>\"Project Gutenberg\"<|>\"The Foundation\"<|>\"Project Gutenberg is operated and managed by The Foundation, which governs its copyright and licensing aspects.\"<|>\"organizational governance, copyright management\"<|>9)##\n(\"relationship\"<|>\"Project Gutenberg\"<|>\"United States\"<|>\"Project Gutenberg operates within the legal framework of the United States, influencing its copyright policies and user access.\"<|>\"legal framework, copyright law\"<|>8)##\n(\"relationship\"<|>\"The Foundation\"<|>\"Project Gutenberg License\"<|>\"The Foundation authorizes the terms of the Project Gutenberg License, which regulates the distribution of its works.\"<|>\"licensing, organizational policy\"<|>9)##\n(\"relationship\"<|>\"Project Gutenberg License\"<|>\"United States\"<|>\"The Project Gutenberg License is compliant with the copyright laws of the United States, affecting how works can be shared.\"<|>\"legal compliance, distribution terms\"<|>8)##\n(\"content_keywords\"<|>\"free distribution, copyright, licensing, public domain\")<|COMPLETE|>", + "4b9bbb7ffe75a75c7cae399d92f12bfb": { + "return": "(\"entity\"<|>\"Transcriber's note\"<|>\"event\"<|>\"The Transcriber's note indicates additional information provided by the transcriber of the Project Gutenberg eBook.\")##\n(\"entity\"<|>\"United States copyright\"<|>\"concept\"<|>\"United States copyright refers to the laws governing the protection of intellectual property, which influence the distribution of works within the U.S.\")##\n(\"entity\"<|>\"General Terms of Use\"<|>\"concept\"<|>\"The General Terms of Use outlines regulations for using and distributing Project Gutenberg works.\")##\n(\"entity\"<|>\"electronic works\"<|>\"concept\"<|>\"Electronic works refer to digital versions of literary texts that can be freely accessed and shared without restriction.\")##\n(\"entity\"<|>\"trademark 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access\"<|>9)##\n(\"relationship\"<|>\"General Terms of Use\"<|>\"trademark license\"<|>\"The General Terms of Use outlines the conditions that must be adhered to regarding the use of the Project Gutenberg trademark.\"<|>\"operational policy, trademark protection\"<|>7)##\n(\"content_keywords\"<|>\"trademark, copyright compliance, digital literary access, information sharing\")<|COMPLETE|>", "model": "gpt-4o-mini" }, - "218340b48cdbb62185bf8a16e4b92aeb": { - "return": "(\"entity\"<|>\"Scrooge\"<|>\"person\"<|>\"Scrooge is depicted as a stingy and unfeeling man, who is criticized during a Christmas feast and is viewed negatively by his family.\")##\n(\"entity\"<|>\"Bob Cratchit\"<|>\"person\"<|>\"Bob Cratchit is a character who appears to be the voice of moderation and kindness, attempting to maintain positivity during the family Christmas feast despite Scrooge's presence.\")##\n(\"entity\"<|>\"Mrs. Cratchit\"<|>\"person\"<|>\"Mrs. Cratchit expresses strong disdain for Scrooge, highlighting her feelings towards him during the Christmas festivities.\")##\n(\"entity\"<|>\"Tiny Tim\"<|>\"person\"<|>\"Tiny Tim is depicted as a vulnerable child who participates in the Christmas toast but seems indifferent to it, symbolizing the family's struggles.\")##\n(\"entity\"<|>\"Christmas Day\"<|>\"event\"<|>\"Christmas Day serves as the central event around which the family gathers and reflects on their feelings towards Scrooge.\")##\n(\"entity\"<|>\"Cratchit Family\"<|>\"organization\"<|>\"The Cratchit Family is portrayed as a close-knit group who, despite their hardships, find joy and gratitude during the Christmas gathering.\")##\n(\"entity\"<|>\"The Spirit\"<|>\"organization\"<|>\"The Spirit represents the essence of Christmas cheer and generosity, influencing the atmosphere and morale during the feast.\")##\n(\"relationship\"<|>\"Bob Cratchit\"<|>\"Scrooge\"<|>\"Bob Cratchit tries to maintain a positive atmosphere during the Christmas feast despite the negative association with Scrooge.\"<|>\"family dynamics, acknowledgment\"<|>6)##\n(\"relationship\"<|>\"Mrs. Cratchit\"<|>\"Scrooge\"<|>\"Mrs. Cratchit openly criticizes Scrooge during the Christmas dinner, expressing her feelings towards him and emphasizing the family's resentment.\"<|>\"criticism, emotional conflict\"<|>8)##\n(\"relationship\"<|>\"Tiny Tim\"<|>\"Cratchit Family\"<|>\"Tiny Tim, as part of the Cratchit Family, represents the innocence and vulnerability of the family, affecting their dynamics during Christmas.\"<|>\"family ties, innocence\"<|>7)##\n(\"relationship\"<|>\"Cratchit Family\"<|>\"Christmas Day\"<|>\"The Cratchit Family gathers to celebrate Christmas Day, reflecting their togetherness and joy despite their hardships.\"<|>\"celebration, tradition\"<|>9)##\n(\"relationship\"<|>\"The Spirit\"<|>\"Christmas Day\"<|>\"The Spirit embodies the joy and generosity of Christmas Day, enhancing the celebratory atmosphere for the Cratchit Family.\"<|>\"festivity, cheer\"<|>10)##\n(\"content_keywords\"<|>\"Christmas, family dynamics, generosity, celebration\")<|COMPLETE|>", + "5cc1bee563cf58c35f28531056a195f0": { + "return": "(\"entity\"<|>\"The Father\"<|>\"person\"<|>\"The Father is a character who returns home and is greeted with excitement, embodying family warmth and joy during Christmas celebrations.\")##\n(\"entity\"<|>\"The Children\"<|>\"organization\"<|>\"The Children are a group experiencing feelings of wonder and delight during the gift-giving scene, highlighting innocence and joy.\")##\n(\"entity\"<|>\"The Porter\"<|>\"person\"<|>\"The Porter is depicted as a defenseless character being playfully assaulted by the children during their festive excitement.\")##\n(\"entity\"<|>\"The Baby\"<|>\"person\"<|>\"The Baby is involved in a comical mishap concerning a doll's frying pan, symbolizing the innocence and curiosity of childhood.\")##\n(\"entity\"<|>\"Christmas Toys and Presents\"<|>\"event\"<|>\"Christmas Toys and Presents signify the spirit of giving and the excitement that surrounds the holiday season, especially for children.\")##\n(\"entity\"<|>\"The Mother\"<|>\"person\"<|>\"The Mother is a character who shares a tender moment with her husband and daughter, representing familial love and connection.\")##\n(\"entity\"<|>\"Home\"<|>\"geo\"<|>\"Home represents the physical and emotional center for the family, where the Christmas celebration takes place.\")##\n(\"relationship\"<|>\"The Father\"<|>\"The Mother\"<|>\"The Father and The Mother share a loving relationship, supporting each other during the festivities and caring for their family.\"<|>\"family bond, love\"<|>8)##\n(\"relationship\"<|>\"The Children\"<|>\"The Father\"<|>\"The Children express joy and excitement in the presence of The Father, showcasing festive family dynamics.\"<|>\"joy, family\"<|>7)##\n(\"relationship\"<|>\"The Children\"<|>\"The Baby\"<|>\"The Children interact with The Baby in a playful manner, illustrating the innocence of youth during Christmas.\"<|>\"playfulness, innocence\"<|>6)##\n(\"relationship\"<|>\"The Porter\"<|>\"The Children\"<|>\"The Porter serves as a target for the Children's playful antics, highlighting their exuberance during the holiday.\"<|>\"playfulness, holiday spirit\"<|>5)##\n(\"relationship\"<|>\"The Mother\"<|>\"The Children\"<|>\"The Mother facilitates the family celebrations, ensuring that her children experience joy during Christmas.\"<|>\"family care, joy\"<|>7)##\n(\"relationship\"<|>\"Home\"<|>\"The Mother\"<|>\"Home is where The Mother organizes the family Christmas celebration, serving as the heart of their togetherness.\"<|>\"family unity, celebration\"<|>9)##\n(\"content_keywords\"<|>\"family, joy, Christmas celebration, innocence, love\")<|COMPLETE|>", "model": "gpt-4o-mini" }, - "0d3cba455a41514103ad7f64e7073f3a": { - "return": "(\"entity\"<|>\"Scrooge's Nephew's Friends\"<|>\"organization\"<|>\"Scrooge's Nephew's Friends are a group of individuals gathered around the dinner table, characterized by their shared laughter and merriment in contrast to Scrooge.\")##\n(\"entity\"<|>\"Scrooge's Niece's Sisters\"<|>\"organization\"<|>\"Scrooge's Niece's Sisters are part of the family gathering, contributing to the lively atmosphere and expressing opinions about Scrooge.\")##\n(\"entity\"<|>\"The Dinner\"<|>\"event\"<|>\"The Dinner is a social event characterized by laughter, music, and discussions about Scrooge, portraying a festive Christmas gathering.\")##\n(\"entity\"<|>\"The Fire\"<|>\"concept\"<|>\"The Fire represents warmth and comfort during the family gathering, enhancing the atmosphere of camaraderie.\")##\n(\"entity\"<|>\"The Bottle\"<|>\"concept\"<|>\"The Bottle symbolizes celebration and the shared merriment among the characters during their Christmas gathering.\")##\n(\"entity\"<|>\"Music\"<|>\"event\"<|>\"Music is an activity enjoyed by the family, contributing to the festive environment of their gathering.\")##\n(\"entity\"<|>\"Laughter\"<|>\"concept\"<|>\"Laughter symbolizes joy and the contagious nature of good humor among the characters, especially in the context of Christmas.\")##\n(\"content_keywords\"<|>\"joy, celebration, family gathering, contrast, festive atmosphere\")<|COMPLETE|>", + "bc02ec5761f825a4a1064c51b11f5f28": { + "return": "(\"entity\"<|>\"Scrooge\"<|>\"person\"<|>\"Scrooge is a central character who experiences a transformation, becoming more generous and kindhearted, particularly towards his employee, Bob Cratchit.\")##\n(\"entity\"<|>\"Fred\"<|>\"person\"<|>\"Fred is Scrooge's nephew, who is surprised by Scrooge's visit and is depicted as a friendly figure during the Christmas gathering.\")##\n(\"entity\"<|>\"Bob Cratchit\"<|>\"person\"<|>\"Bob Cratchit is Scrooge's employee, who is described as arriving late to work and is the recipient of Scrooge's newfound generosity.\")##\n(\"entity\"<|>\"Tiny Tim\"<|>\"person\"<|>\"Tiny Tim is Bob Cratchit's son who symbolizes hope and resilience, receiving care and support from Scrooge after his transformation.\")##\n(\"entity\"<|>\"Christmas\"<|>\"event\"<|>\"Christmas is the festive occasion that serves as the backdrop for Scrooge's transformation and the interactions among the characters.\")##\n(\"entity\"<|>\"The Office\"<|>\"organization\"<|>\"The Office refers to the workplace where Scrooge and Bob Cratchit interact, highlighting the power dynamics and work-related tension.\")##\n(\"relationship\"<|>\"Scrooge\"<|>\"Bob Cratchit\"<|>\"Scrooge's transformation leads him to raise Bob's salary and assist his struggling family, showing an improvement in their employer-employee relationship.\"<|>\"generosity, transformation\"<|>9)##\n(\"relationship\"<|>\"Scrooge\"<|>\"Fred\"<|>\"Scrooge's visit to Fred signifies a reconnection with family and a shift towards embracing Christmas spirit.\"<|>\"family, reconciliatory\"<|>8)##\n(\"relationship\"<|>\"Bob Cratchit\"<|>\"Tiny Tim\"<|>\"Bob is the father of Tiny Tim, who requires support and care, emphasizing themes of family and responsibility.\"<|>\"family, care\"<|>9)##\n(\"relationship\"<|>\"Scrooge\"<|>\"Christmas\"<|>\"Scrooge's transformation is closely tied to the spirit of Christmas, marking a significant personal change during this event.\"<|>\"transformation, festive spirit\"<|>10)##\n(\"content_keywords\"<|>\"transformation, generosity, family, Christmas spirit\")<|COMPLETE|>", "model": "gpt-4o-mini" }, - "21c6a49f73df0dd3242f406476537037": { - "return": "(\"entity\"<|>\"Scrooge\"<|>\"person\"<|>\"Scrooge is a central character who undergoes emotional changes and reflects on his past during a Christmas gathering.\")##\n(\"entity\"<|>\"Scrooge's niece\"<|>\"person\"<|>\"Scrooge's niece is depicted as a joyful participant in the evening's festivities, engaging in games and music.\")##\n(\"entity\"<|>\"Topper\"<|>\"person\"<|>\"Topper is a character known for his lively and mischievous behavior during the games at the festive gathering.\")##\n(\"entity\"<|>\"The Ghost of Christmas Present\"<|>\"event\"<|>\"The Ghost of Christmas Present is a spirit that guides Scrooge through his memories and the joy of the present Christmas celebration.\")##\n(\"entity\"<|>\"Blind Man's-Buff\"<|>\"event\"<|>\"Blind Man's-Buff is a game played during the gathering, showcasing the playful and carefree nature of the participants.\")##\n(\"entity\"<|>\"Forfeits\"<|>\"event\"<|>\"Forfeits is another game played that allows participants to engage in fun activities, emphasizing the spirit of the gathering.\")##\n(\"relationship\"<|>\"Scrooge\"<|>\"Scrooge's niece\"<|>\"Scrooge's niece embraces the joyful atmosphere of the celebration, engaging with family and inviting good-natured fun.\"<|>\"family bonds, celebration\"<|>8)##\n(\"relationship\"<|>\"Scrooge\"<|>\"Topper\"<|>\"Scrooge observes Topper's antics and expressions of joy during the games, revealing a reflection on human nature and merriment.\"<|>\"observation, merriment\"<|>6)##\n(\"relationship\"<|>\"Scrooge\"<|>\"The Ghost of Christmas Present\"<|>\"The Ghost of Christmas Present observes Scrooge's transformation and emotional engagement with his memories of Christmas.\"<|>\"transformation, guidance\"<|>9)##\n(\"relationship\"<|>\"Topper\"<|>\"Blind Man's-Buff\"<|>\"Topper participates in the game of Blind Man's-Buff, contributing to the laughter and enjoyment of the gathering.\"<|>\"participation, joy\"<|>7)##\n(\"relationship\"<|>\"Scrooge's niece\"<|>\"Forfeits\"<|>\"Scrooge's niece actively engages in the game of Forfeits, highlighting her enjoyment and spirited nature during the Christmas celebration.\"<|>\"active participation, enjoyment\"<|>8)##\n(\"content_keywords\"<|>\"Christmas celebration, family interaction, joy, transformation\")<|COMPLETE|>", + "2bf3dd6b44880e231634014df66df3cf": { + "return": "(\"entity\"<|>\"The Bundle\"<|>\"concept\"<|>\"The Bundle contains the belongings of the deceased man, which serve as a focal point for discussion among the characters regarding value and morality.\")##\n(\"entity\"<|>\"The Blankets\"<|>\"concept\"<|>\"The Blankets are associated with the deceased man's body, symbolizing care and the human connection to the dead.\")##\n(\"entity\"<|>\"The Oil\"<|>\"concept\"<|>\"The Oil is a material that the woman is cautious about spilling, representing the practical and sometimes distasteful attitude towards the deceased's belongings.\")##\n(\"entity\"<|>\"The Shirt\"<|>\"concept\"<|>\"The Shirt belonged to the deceased man and is evaluated by the woman who claims it is in good condition, further emphasizing her pragmatic approach to death.\")##\n(\"entity\"<|>\"The Flannel Bag\"<|>\"concept\"<|>\"The Flannel Bag is used by Joe to show the money gained from their dealings with the deceased, highlighting the theme of profit from death.\")##\n(\"entity\"<|>\"Old Man's Lamp\"<|>\"concept\"<|>\"The Old Man's Lamp provides scant light in the scene, contributing to the mood of tension and eeriness surrounding the deceased.\")##\n(\"entity\"<|>\"The Corpse\"<|>\"person\"<|>\"The Corpse represents the deceased man whose belongings are being discussed, serving as a stark reminder of mortality.\")##\n(\"entity\"<|>\"The Dark Room\"<|>\"geo\"<|>\"The Dark Room is where the corpse lies, symbolizing isolation and the lack of care for the deceased.\")##\n(\"relationship\"<|>\"The Bundle\"<|>\"The Deceased Man\"<|>\"The Bundle contains the belongings that once belonged to The Deceased Man, illustrating the material value placed on his life after death.\" <|>\"material legacy, value\"<|>7)##\n(\"relationship\"<|>\"The Blankets\"<|>\"The Corpse\"<|>\"The Blankets are directly associated with The Corpse, indicating the human connections and care traditionally shown to the dead.\" <|>\"care, human connection\"<|>8)##\n(\"relationship\"<|>\"The Oil\"<|>\"The Blanket\"<|>\"The Oil’s presence suggests a practical yet insensitive attitude towards the care of The Blanket and the deceased.\" <|>\"materialism, carelessness\"<|>6)##\n(\"relationship\"<|>\"Scrooge\"<|>\"The Corpse\"<|>\"Scrooge’s horror upon seeing The Corpse prompts deep reflection on his own life choices and morality.\" <|>\"introspection, life choices\"<|>9)##\n(\"content_keywords\"<|>\"material legacy, human connections, mortality, introspection\")<|COMPLETE|>", "model": "gpt-4o-mini" }, - "0f6fd6369fa3a1fc4eaaa76ac7cdd24d": { - "return": "(\"entity\"<|>\"The Bed\"<|>\"geo\"<|>\"The Bed represents a central object in the scene, symbolizing the final resting place of The Deceased and contributing to the themes of mortality and neglect.\")##\n(\"entity\"<|>\"The Blankets\"<|>\"geo\"<|>\"The Blankets are discussed in the context of the deceased's possessions, highlighting themes of care and abandonment after death.\")##\n(\"entity\"<|>\"The Dark Room\"<|>\"geo\"<|>\"The Dark Room serves as the setting for the scene, enhancing the atmosphere of dread and the theme of impending death.\")##\n(\"entity\"<|>\"The Flannel Bag\"<|>\"geo\"<|>\"The Flannel Bag contains money and symbolizes the materialistic aspects of life and the relationships surrounding The Deceased’s possessions.\")##\n(\"entity\"<|>\"The Spirit\"<|>\"concept\"<|>\"The Spirit represents the supernatural presence urging Scrooge to reflect deeply on the consequences of his life choices, particularly in relation to Death.\")##\n(\"entity\"<|>\"Avarice\"<|>\"concept\"<|>\"Avarice is a theme personified in Scrooge's contemplation of The Deceased, symbolizing greed and its ultimate consequences in death.\")##\n(\"relationship\"<|>\"Joe\"<|>\"The Deceased\"<|>\"Joe discusses the belongings and implications of The Deceased's life, indicating a financial and material relationship with the dead.\"<|>\"materialism, death\"<|>5)##\n(\"relationship\"<|>\"The Woman\"<|>\"The Deceased\"<|>\"The Woman's carefree attitude while discussing The Deceased reflects a stark contrast to how their life was valued in death.\"<|>\"indifference, mortality\"<|>7)##\n(\"relationship\"<|>\"Scrooge\"<|>\"The Blankets\"<|>\"Scrooge contemplates the significance of The Blankets, linking them to the neglected state of The Deceased in death.\"<|>\"neglect, reflection\"<|>8)##\n(\"relationship\"<|>\"Scrooge\"<|>\"The Bed\"<|>\"Scrooge observes The Bed where The Deceased lies, prompting profound thoughts on mortality and regret.\"<|>\"contemplation, mortality\"<|>9)##\n(\"relationship\"<|>\"The Spirit\"<|>\"Scrooge\"<|>\"The Spirit challenges Scrooge's perspective on life, urging him to consider the implications of his actions in light of death.\"<|>\"supernatural guidance, self-reflection\"<|>10)##\n(\"content_keywords\"<|>\"mortality, reflection, avarice, supernatural, neglect\")<|COMPLETE|>", + "edbba8a417c2de4a6f6c14cef418ff90": { + "return": "(\"entity\"<|>\"Scrooge's Niece's Sisters\"<|>\"person\"<|>\"Scrooge's Niece's Sisters are a part of the family gathering, expressing their opinions and adding to the lively atmosphere with their laughter and good humor.\")##\n(\"entity\"<|>\"The Plump Sister\"<|>\"person\"<|>\"The Plump Sister is one of Scrooge's Niece's sisters, characterized by her bashfulness and her attempts to maintain decorum amidst the laughter.\")##\n(\"entity\"<|>\"The Lace Tucker\"<|>\"concept\"<|>\"The Lace Tucker is a fashionable accessory worn by one of Scrooge's Niece's sisters, representing the social settings and themes of appearance in the gathering.\")##\n(\"entity\"<|>\"Dinner\"<|>\"event\"<|>\"Dinner is the festive meal that is shared among the characters, symbolizing the warmth of family and celebration that contrasts with Scrooge's isolated demeanor.\")##\n(\"entity\"<|>\"Merriment\"<|>\"concept\"<|>\"Merriment refers to the joyful and festive atmosphere that the characters aim to create, opposing Scrooge's jaded perspective on social gatherings.\")##\n(\"relationship\"<|>\"Scrooge's Niece's Sisters\"<|>\"Scrooge's Niece\"<|>\"Scrooge's Niece's Sisters 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interacts with customers in a friendly manner, symbolizing community spirit.\")##\n(\"entity\"<|>\"The People\"<|>\"organization\"<|>\"The People represent the townsfolk who come together in celebration during the Christmas season, highlighting communal joy and participation.\")##\n(\"entity\"<|>\"The Spirit's Torch\"<|>\"technology\"<|>\"The Spirit's Torch is a unique tool used by the Spirit of Christmas Present to sprinkle blessings and create goodwill among people.\")##\n(\"entity\"<|>\"The Baker's Shop\"<|>\"organization\"<|>\"The Baker's Shop is a significant location where townspeople gather to procure their meals, indicating a hub of community activity.\")##\n(\"entity\"<|>\"dinners\"<|>\"event\"<|>\"Dinners refer to the meals shared by families on Christmas Day, representing the joy and nourishment that bring people together.\")##\n(\"entity\"<|>\"The Streets\"<|>\"geo\"<|>\"The Streets are the setting for the gatherings and interactions of townspeople during Christmas, 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community and shared meals on Christmas Day.\"<|>\"community, gathering place\"<|>7)##\n(\"relationship\"<|>\"The Streets\"<|>\"The Spirit of Christmas Present\"<|>\"The Spirit guides Scrooge through The Streets, revealing the festive nature and challenges faced by the townsfolk.\"<|>\"guidance, social awareness\"<|>8)##\n(\"relationship\"<|>\"The Suburbs\"<|>\"The Cratchit Household\"<|>\"The Suburbs illustrate the challenges faced by families like The Cratchit Household, emphasizing social inequality.\"<|>\"social commentary, inequality\"<|>6)##\n(\"relationship\"<|>\"dinners\"<|>\"The Cratchit Household\"<|>\"The dinners prepared by The Cratchit Household signify love and togetherness, reflecting on the importance of family meals during the holidays.\"<|>\"togetherness, familial love\"<|>8)##\n(\"content_keywords\"<|>\"community, social inequality, festive gatherings, family meals\")<|COMPLETE|>", "model": "gpt-4o-mini" }, - "805f7e8c7afaf4c559b64b7f038605f1": { - "return": "(\"entity\"<|>\"The Dark Chamber\"<|>\"concept\"<|>\"The Dark Chamber represents a metaphorical space associated with death, despair, and the consequences of one's actions, highlighted during Scrooge's reflections.\")##\n(\"entity\"<|>\"The Room by Daylight\"<|>\"concept\"<|>\"The Room by Daylight symbolizes hope and normalcy amidst adversity, contrasting with the earlier dark and fearful atmosphere.\")##\n(\"entity\"<|>\"The Mother\"<|>\"person\"<|>\"The Mother exemplifies apprehension and hope regarding her husband's return, depicting the emotional burden of waiting and uncertainty.\")##\n(\"entity\"<|>\"Peter\"<|>\"person\"<|>\"Peter is a member of the Cratchit family, characterized by his quiet demeanor while being engaged in reading, representing the next generation's concern.\")##\n(\"entity\"<|>\"Ferocious Cat\"<|>\"concept\"<|>\"The Ferocious Cat represents untamed instincts and survival in a harsh environment, providing a sense of discomfort and disturbance in Scrooge's reflections.\")##\n(\"entity\"<|>\"Fearful Place\"<|>\"concept\"<|>\"The Fearful Place embodies Scrooge's dread of confronting his past mistakes and the implications of death, showcasing his internal struggles.\")##\n(\"entity\"<|>\"The Long-Expected Knock\"<|>\"event\"<|>\"The Long-Expected Knock signifies a pivotal moment of anticipation related to the return of the mother’s husband, laden with emotional significance.\")##\n(\"entity\"<|>\"The Candle-Light\"<|>\"concept\"<|>\"The Candle-Light represents fragility and vulnerability, affecting the perception of Tiny Tim and reflecting the family's struggles with health and poverty.\")##\n(\"entity\"<|>\"Debt\"<|>\"concept\"<|>\"Debt signifies a financial burden underpinning the Cratchit family's tension and expectations regarding their future after a death event.\")##\n(\"entity\"<|>\"Merciless Creditor\"<|>\"concept\"<|>\"The Merciless Creditor symbolizes the harsh realities of financial struggles faced by the Cratchit family, representing the societal pressures they endure.\")##\n(\"entity\"<|>\"Emotion\"<|>\"concept\"<|>\"Emotion encompasses the various feelings experienced by the characters in response to death, hope, and familial bonds, underscoring the human condition.\")##\n(\"entity\"<|>\"Kind Word\"<|>\"concept\"<|>\"A Kind Word illustrates the theme of empathy and how small gestures can significantly impact one's emotional state, as recalled by Scrooge.\")##\n(\"entity\"<|>\"Clasped Hands\"<|>\"concept\"<|>\"Clasped Hands symbolize prayer or hope, reflecting the mother's reaction and the emotional weight carried by her and the Cratchit family.\")##\n(\"content_keywords\"<|>\"futility, emotion, hope, family sacrifice\")<|COMPLETE|>", + "5c75fb2014e31600bf242f67bc9d1d46": { + "return": "(\"entity\"<|>\"U.S. Copyright Law\"<|>\"event\"<|>\"U.S. Copyright Law is the legal framework that Project Gutenberg navigates in its efforts to provide access to electronic works, ensuring compliance with copyright 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"15cd51f4dc0fb941a5dbfd8ce2db3faa": { - "return": "(\"entity\"<|>\"The Charwoman\"<|>\"person\"<|>\"The Charwoman is a character who enters the shop first, contributing to the conversation about their collective situation concerning the deceased.\")## \n(\"entity\"<|>\"The Undertaker's Man\"<|>\"person\"<|>\"The Undertaker's Man is a character who appears after The Charwoman, joining the group in discussing their encounters and the deceased's possessions.\")## \n(\"entity\"<|>\"The Clothes and Items\"<|>\"event\"<|>\"The Clothes and Items refer to the various possessions being appraised, representing the themes of loss and exploitation.\")## \n(\"entity\"<|>\"The Dead Man\"<|>\"person\"<|>\"The Dead Man is mentioned as the previous owner of the items being appraised, embodying the consequences of greed and isolation.\")## \n(\"relationship\"<|>\"The Charwoman\"<|>\"The Undertaker's Man\"<|>\"The Charwoman and The Undertaker's Man interact directly while sharing their experiences, 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represent the forces that guide Scrooge towards his transformation and are instrumental in his journey of redemption.\")##\n(\"entity\"<|>\"The Ghost of Christmas Present\"<|>\"person\"<|>\"The Ghost of Christmas Present is one of the spirits that help Scrooge understand the importance of generosity and compassion during the festive season.\")##\n(\"entity\"<|>\"The Ghost of Christmas Past\"<|>\"person\"<|>\"The Ghost of Christmas Past represents Scrooge's history and helps him confront his former self and decisions made in life.\")##\n(\"entity\"<|>\"The Ghost of Christmas Yet to Come\"<|>\"person\"<|>\"The Ghost of Christmas Yet to Come reveals the potential consequences of Scrooge's current life choices, emphasizing themes of mortality and legacy.\")##\n(\"entity\"<|>\"The Christmas Dinner\"<|>\"event\"<|>\"The Christmas Dinner signifies the gathering of the Cratchit family, highlighting themes of togetherness and the warmth of family during the holiday season.\")##\n(\"entity\"<|>\"The Street\"<|>\"geo\"<|>\"The Street is the setting where Scrooge interacts with the boy and demonstrates his newfound generosity after his transformation.\")##\n(\"entity\"<|>\"The Boy\"<|>\"person\"<|>\"The Boy represents innocence and curiosity, serving as a catalyst for Scrooge's generous act by purchasing the turkey.\")##\n(\"entity\"<|>\"The Turkey\"<|>\"event\"<|>\"The Turkey symbolizes the generosity and festive spirit that Scrooge embraces following his transformation.\")##\n(\"relationship\"<|>\"Scrooge\"<|>\"The Ghost of Christmas Past\"<|>\"The Ghost of Christmas Past helps Scrooge reflect on his past choices, which is crucial for his transformation.\"<|>\"reflection, guidance\"<|>9)##\n(\"relationship\"<|>\"Scrooge\"<|>\"The Ghost of Christmas Present\"<|>\"The Ghost of Christmas Present shows Scrooge the joy and hardships of others during Christmas, deepening his understanding of compassion.\"<|>\"compassion, 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life, guiding him toward redemption and self-reflection.\")##\n(\"entity\"<|>\"The Ghost of Jacob Marley\"<|>\"event\"<|>\"The Ghost of Jacob Marley is the supernatural being that visits Scrooge to warn him and set the stage for his transformation.\")##\n(\"entity\"<|>\"The Ghost of Christmas Present\"<|>\"event\"<|>\"The Ghost of Christmas Present signifies abundance and the spirit of joy that Scrooge is encouraged to embrace.\")##\n(\"entity\"<|>\"The Ghost of Christmas Future\"<|>\"event\"<|>\"The Ghost of Christmas Future represents the potential consequences of Scrooge's actions and choices.\")##\n(\"entity\"<|>\"Sunday Clothes Boy\"<|>\"person\"<|>\"The boy in Sunday clothes serves as a character who interacts with Scrooge, demonstrating innocence and curiosity.\")##\n(\"entity\"<|>\"The Sitting Room\"<|>\"location\"<|>\"The Sitting Room is a significant space in Scrooge's home where he experiences emotional revelations and transformations.\")##\n(\"relationship\"<|>\"Scrooge\"<|>\"The Spirits\"<|>\"The Spirits embody the lessons Scrooge must learn to change his life and embrace kindness.\"<|>\"redemption, guidance\"<|>9)##\n(\"relationship\"<|>\"Scrooge\"<|>\"The Ghost of Jacob Marley\"<|>\"Scrooge's encounter with the Ghost of Jacob Marley initiates his journey of self-reflection and realization.\"<|>\"transformation, warning\"<|>10)##\n(\"relationship\"<|>\"Scrooge\"<|>\"The Ghost of Christmas Present\"<|>\"The Ghost of Christmas Present exposes Scrooge to the joy and generosity he has been missing.\"<|>\"awareness, joy\"<|>8)##\n(\"relationship\"<|>\"Scrooge\"<|>\"The Ghost of Christmas Future\"<|>\"The Ghost of Christmas Future reveals the dire consequences of Scrooge's current behavior, prompting a desire for change.\"<|>\"consequences, transformation\"<|>8)##\n(\"relationship\"<|>\"Scrooge\"<|>\"Sunday Clothes Boy\"<|>\"Scrooge's interaction with the Sunday Clothes Boy highlights his evolving attitude towards generosity and kindness.\"<|>\"kindness, generosity\"<|>7)##\n(\"relationship\"<|>\"Scrooge\"<|>\"The Sitting Room\"<|>\"The Sitting Room is where Scrooge reflects on his past and contemplates his future, crucial to his transformation.\"<|>\"reflection, transformation\"<|>8)##\n(\"content_keywords\"<|>\"redemption, lessons, transformation, reflection\")<|COMPLETE|>", + "21c6a49f73df0dd3242f406476537037": { + "return": "(\"entity\"<|>\"Scrooge\"<|>\"person\"<|>\"Scrooge is a character who is initially portrayed as grumpy but shows signs of transformation as he observes and engages with his family members during Christmas activities.\")##\n(\"entity\"<|>\"Topper\"<|>\"person\"<|>\"Topper is a jovial character who participates in games and is known for his playful and somewhat roguish behavior during the festivities.\")##\n(\"entity\"<|>\"Scrooge's niece\"<|>\"person\"<|>\"Scrooge's niece is a central figure in the family gathering, enjoying the festivities and games, showing a loving and vibrant personality.\")##\n(\"entity\"<|>\"Christmas\"<|>\"event\"<|>\"Christmas is depicted as a season of joy and family togetherness, serving as the backdrop for the activities and interactions among the characters.\")##\n(\"relationship\"<|>\"Scrooge\"<|>\"Scrooge's niece\"<|>\"Scrooge observes his niece enjoying the Christmas festivities, which influences his own mood and perspective towards the holiday spirit.\"<|>\"family dynamics, transformation\"<|>8)##\n(\"relationship\"<|>\"Scrooge\"<|>\"Topper\"<|>\"Scrooge and Topper participate in the games, showcasing the playful atmosphere of the Christmas gathering and hinting at Scrooge's changing attitude.\"<|>\"playfulness, interaction\"<|>7)##\n(\"relationship\"<|>\"Scrooge's niece\"<|>\"Topper\"<|>\"Scrooge's niece and Topper engage in playful games, highlighting the fun and jovial spirit of the Christmas celebration.\"<|>\"festive spirit, camaraderie\"<|>6)##\n(\"relationship\"<|>\"Scrooge\"<|>\"Christmas\"<|>\"Scrooge's involvement in the Christmas activities represents a significant moment of change in his character, as he becomes more engaged and merry.\"<|>\"transformation, holiday spirit\"<|>9)##\n(\"content_keywords\"<|>\"family togetherness, transformation, holiday spirit, festive activities\")<|COMPLETE|>", "model": "gpt-4o-mini" }, - "a320cf7e0627f1687d10e7f235ec7bf4": { - "return": "(\"entity\"<|>\"Jacob Marley\"<|>\"person\"<|>\"Jacob Marley is Scrooge's deceased business partner, who appears as a ghost to warn Scrooge of his impending fate and the need for change.\")##\n(\"entity\"<|>\"The Ghost\"<|>\"organization\"<|>\"The Ghost represents various spectral entities that visit Scrooge to facilitate his transformation by highlighting the consequences of his actions.\")##\n(\"entity\"<|>\"Christmas\"<|>\"event\"<|>\"Christmas serves as a thematic backdrop for the story, symbolizing redemption, generosity, and the spirit of giving.\")##\n(\"entity\"<|>\"The Future\"<|>\"concept\"<|>\"The Future represents the potential outcomes of Scrooge’s life choices, depicted through the visions shown by the Spirits.\")##\n(\"entity\"<|>\"The Businessmen\"<|>\"organization\"<|>\"The Businessmen are a group of individuals in the City who display a lack of concern about Scrooge's death, reflecting societal apathy toward individual loss.\")##\n(\"entity\"<|>\"Death\"<|>\"event\"<|>\"Death in the story is a significant event that triggers discussion among the Businessmen and prompts Scrooge's reflections.\")##\n(\"relationship\"<|>\"Scrooge\"<|>\"Jacob Marley\"<|>\"Scrooge interacts with Jacob Marley, who serves as a critical warning for Scrooge to change his ways before it's too late.\"<|>\"warning, transformation\"<|>10)##\n(\"relationship\"<|>\"The Ghost\"<|>\"Christmas\"<|>\"The Ghosts represent the essence of Christmas, highlighting the themes of generosity and change during this festive time.\"<|>\"spiritual guide, thematic connection\"<|>8)##\n(\"relationship\"<|>\"Jacob Marley\"<|>\"The Future\"<|>\"Jacob Marley's warning about the consequences of ignorance reflects on the potential dark Future that awaits Scrooge.\"<|>\"foreshadowing, caution\"<|>9)##\n(\"relationship\"<|>\"Scrooge\"<|>\"The Businessmen\"<|>\"Scrooge’s death is discussed among the Businessmen, who show a lack of concern, exemplifying the indifference of society.\"<|>\"societal apathy, lack of empathy\"<|>8)##\n(\"relationship\"<|>\"The Future\"<|>\"Death\"<|>\"The concept of The Future is intricately linked to discussions about Death, pondering the consequences of life's choices.\"<|>\"consequences of choices, reflection\"<|>7)##\n(\"content_keywords\"<|>\"redemption, apathy, warnings, societal critique\")<|COMPLETE|>", + "8d71e0c5ec953f8d4d22525f4be94532": { + "return": "(\"entity\"<|>\"Scrooge\"<|>\"person\"<|>\"Scrooge is a character who reflects on his past and contemplates his future, feeling the coldness associated with his change of life.\")##\n(\"entity\"<|>\"Jacob\"<|>\"person\"<|>\"Jacob is Scrooge's old partner whose death is acknowledged, influencing Scrooge's reflections on his own life and future.\")##\n(\"entity\"<|>\"The Spirit\"<|>\"organization\"<|>\"The Spirit is portrayed as a phantom guiding Scrooge, representing the moral and existential queries of his life.\")##\n(\"entity\"<|>\"The Town\"<|>\"geo\"<|>\"The Town is depicted as an obscure and morally degraded area contrasting with the lively scenes, indicating deep societal issues.\")##\n(\"entity\"<|>\"The Low-Browed Shop\"<|>\"organization\"<|>\"The Low-Browed Shop is a grim establishment in the town dealing in various unwanted goods, representing decay and desperation.\")##\n(\"relationship\"<|>\"Scrooge\"<|>\"Jacob\"<|>\"Scrooge reflects on his relationship with Jacob, understanding the past implications of his death for his own future.\"<|>\"past reflections, moral lesson\"<|>8)##\n(\"relationship\"<|>\"Scrooge\"<|>\"The Spirit\"<|>\"The Spirit interacts with Scrooge, guiding him to confront his past and future, emphasizing change and moral growth.\"<|>\"moral guidance, change\"<|>9)##\n(\"relationship\"<|>\"The Town\"<|>\"The Low-Browed Shop\"<|>\"The Low-Browed Shop exists within The Town, reflecting its degradation and the poor conditions of its inhabitants.\"<|>\"socioeconomic issues, decay\"<|>7)##\n(\"content_keywords\"<|>\"moral reflection, change, decay, societal issues\")<|COMPLETE|>", "model": "gpt-4o-mini" }, - "d266f37a6283d07b56094f9791118f2e": { - "return": "(\"entity\"<|>\"Master Peter Cratchit\"<|>\"person\"<|>\"Master Peter Cratchit is one of the young sons in the Cratchit family, actively contributes to the family's Christmas preparations with energy and enthusiasm.\")##\n(\"entity\"<|>\"Belinda Cratchit\"<|>\"person\"<|>\"Belinda Cratchit is another daughter in the Cratchit family, depicted as participating in the festive meal by sweetening the apple sauce, showcasing her involvement in family traditions.\")##\n(\"entity\"<|>\"The Goose\"<|>\"event\"<|>\"The Goose is a central part of the Cratchit family Christmas dinner, which they celebrate with excitement and anticipation, symbolizing abundance and joy.\")##\n(\"entity\"<|>\"Mrs. Cratchit\"<|>\"person\"<|>\"Mrs. Cratchit is the mother in the family who prepares the meal and shows warmth and attentiveness towards her family members during their Christmas celebration.\")##\n(\"relationship\"<|>\"Master Peter Cratchit\"<|>\"Cratchit Family\"<|>\"Master Peter Cratchit is a part of the Cratchit family and contributes to their joyful Christmas celebration with enthusiasm.\"<|>\"family participation, joy\"<|>8)##\n(\"relationship\"<|>\"Belinda Cratchit\"<|>\"Cratchit Family\"<|>\"Belinda Cratchit's role in sweetening the apple sauce shows her active involvement in family traditions during Christmas.\"<|>\"family participation, tradition\"<|>8)##\n(\"relationship\"<|>\"Mrs. Cratchit\"<|>\"Cratchit Family\"<|>\"Mrs. Cratchit plays a significant role in nurturing the family atmosphere during Christmas by preparing and caring for everyone.\"<|>\"nurturing, familial care\"<|>9)##\n(\"relationship\"<|>\"The Goose\"<|>\"Cratchit Family\"<|>\"The Goose represents the festive meal that the Cratchit family cherishes during their Christmas gathering, enhancing their celebration.\"<|>\"symbol of abundance, celebration\"<|>10)##\n(\"content_keywords\"<|>\"family roles, Christmas dinner, festive traditions, joy\")<|COMPLETE|>", + "218340b48cdbb62185bf8a16e4b92aeb": { + "return": "(\"entity\"<|>\"Scrooge\"<|>\"person\"<|>\"Scrooge is characterized as an odious and unfeeling man, often referred to as the Ogre of the family, eliciting strong reactions from others.\")##\n(\"entity\"<|>\"Bob Cratchit\"<|>\"person\"<|>\"Bob Cratchit is a mild-mannered character who expresses concern for his family and shows a sense of duty during Christmas celebrations.\")##\n(\"entity\"<|>\"Mrs. Cratchit\"<|>\"person\"<|>\"Mrs. Cratchit is portrayed as outspoken and resentful towards Scrooge, yet ultimately participates in the Christmas festivities for her family's sake.\")##\n(\"entity\"<|>\"Tiny Tim\"<|>\"person\"<|>\"Tiny Tim is a young child noted for his plaintive voice and joyful demeanor, representing innocence and hope within the Cratchit family.\")##\n(\"entity\"<|>\"Christmas Day\"<|>\"event\"<|>\"Christmas Day serves as a central event for the gathering of the Cratchit family, filled with mixed feelings about their employer, Scrooge.\")##\n(\"entity\"<|>\"The Spirit\"<|>\"organization\"<|>\"The Spirit represents a supernatural presence that influences the mood of Christmas, promoting generosity and mirth during the holiday season.\")##\n(\"entity\"<|>\"Cratchit Family\"<|>\"organization\"<|>\"The Cratchit Family consists of Bob, Mrs. Cratchit, and their children, embodying themes of family unity and contentment despite hardships.\")##\n(\"relationship\"<|>\"Bob Cratchit\"<|>\"Scrooge\"<|>\"Bob Cratchit discusses Scrooge during Christmas, highlighting the tension between duty towards family and feelings about his employer.\"<|>\"employer-employee dynamics, family values\"<|>6)##\n(\"relationship\"<|>\"Mrs. Cratchit\"<|>\"Scrooge\"<|>\"Mrs. Cratchit expresses her disdain for Scrooge while still wishing to celebrate Christmas for the sake of her family.\"<|>\"resentment, family focus\"<|>7)##\n(\"relationship\"<|>\"Tiny Tim\"<|>\"Scrooge\"<|>\"Tiny Tim is affected by the family's feelings towards Scrooge, and he embodies the hope for joy despite Scrooge's unkind nature.\"<|>\"innocence, hope\"<|>8)##\n(\"relationship\"<|>\"The Spirit\"<|>\"Cratchit Family\"<|>\"The Spirit influences the Christmas gathering of the Cratchit family by promoting joy and generosity, impacting their celebration.\"<|>\"holiday spirit, influence\"<|>9)##\n(\"relationship\"<|>\"Cratchit Family\"<|>\"Christmas Day\"<|>\"The Cratchit Family comes together to celebrate Christmas Day, a crucial moment that reflects their unity and joy despite challenges.\"<|>\"family gathering, holiday celebration\"<|>10)##\n(\"content_keywords\"<|>\"family values, Christmas spirit, social criticism, hope\")<|COMPLETE|>", "model": "gpt-4o-mini" }, "4153111ded591e4cc8dfcafce17f9c44": { - "return": "(\"entity\"<|>\"Scrooge\"<|>\"person\"<|>\"Scrooge is a character who engages with a spiritual entity and witnesses the transformation of his surroundings during Christmas.\")##\n(\"entity\"<|>\"Christmas\"<|>\"event\"<|>\"Christmas is depicted as a time of joy and communal spirit, marked by people's activities and interactions in the streets.\")##\n(\"entity\"<|>\"Great Britain\"<|>\"geo\"<|>\"Great Britain is referenced as a location suffering from severe weather, which contrasts with the cheerful activities of its people during Christmas.\")##\n(\"entity\"<|>\"The Grocers\"<|>\"organization\"<|>\"The Grocers are a social hub where customers eagerly purchase goods, contributing to the festive atmosphere of the day.\")##\n(\"relationship\"<|>\"Scrooge\"<|>\"Christmas\"<|>\"Scrooge's experience during the Christmas event highlights the transformation of his character and the spirit of the holiday.\"<|>\"transformation, holiday spirit\"<|>8)##\n(\"relationship\"<|>\"Christmas\"<|>\"Great Britain\"<|>\"The celebration of Christmas brings a cheerful atmosphere to Great Britain despite the gloomy weather conditions.\"<|>\"celebration, societal mood\"<|>7)##\n(\"relationship\"<|>\"The Grocers\"<|>\"Christmas\"<|>\"The Grocers contribute to the festive Christmas atmosphere by providing goods and serving eager customers.\"<|>\"community engagement, festive spirit\"<|>9)##\n(\"content_keywords\"<|>\"Christmas, transformation, festive spirit, community\")<|COMPLETE|>", + "return": "(\"entity\"<|>\"Great Britain\"<|>\"geo\"<|>\"Great Britain is a location mentioned as having chimneys that appear to be catching fire and is the setting for a gloomy climate during Christmas time.\")##\n(\"entity\"<|>\"Christmas\"<|>\"event\"<|>\"Christmas is the holiday being celebrated, depicted with people shoveling snow, sharing joy, and engaging in festive activities.\")##\n(\"entity\"<|>\"Grocers'\"<|>\"organization\"<|>\"Grocers' is an organization described as nearly closed yet bustling with eager customers, showcasing a variety of goods typical for Christmas time.\")##\n(\"entity\"<|>\"People\"<|>\"organization\"<|>\"The People represent the community celebrating Christmas, exhibiting joy, humor, and eagerness amidst the dreary weather.\")##\n(\"relationship\"<|>\"Grocers'\"<|>\"Christmas\"<|>\"The Grocers' organization plays a crucial role during Christmas by providing goods that contribute to the festive spirit.\"<|>\"retail, festive celebration\"<|>8)##\n(\"relationship\"<|>\"People\"<|>\"Christmas\"<|>\"The People are actively engaged in the celebration of Christmas, demonstrating joy and festivity despite the harsh weather conditions.\"<|>\"community celebration, joy\"<|>9)##\n(\"relationship\"<|>\"Great Britain\"<|>\"Christmas\"<|>\"Christmas takes place within Great Britain, influencing the cultural depiction of the holiday and the activities that occur.\")<|>\"cultural context, celebration\"<|>7)##\n(\"content_keywords\"<|>\"Christmas celebration, community joy, festive spirit, Great Britain\")<|COMPLETE|>", + "model": "gpt-4o-mini" + }, + "9480a8c953892d44bd64f1e51589df33": { + "return": "(\"entity\"<|>\"Scrooge\"<|>\"person\"<|>\"Scrooge is a central character who experiences profound changes in his understanding and attitude throughout the story.\")##\n(\"entity\"<|>\"Spirit\"<|>\"organization\"<|>\"The Spirit represents a supernatural being guiding Scrooge through lessons about the consequences of his actions and the future.\")##\n(\"entity\"<|>\"Ignorance\"<|>\"concept\"<|>\"Ignorance personifies a societal failing, depicted as a child, warning of the dangers of neglect and moral responsibility.\")##\n(\"entity\"<|>\"Want\"<|>\"concept\"<|>\"Want represents another societal failing, portrayed as a girl, symbolizing deprivation and yearning for basic needs.\")##\n(\"entity\"<|>\"Ghost of Christmas Yet to Come\"<|>\"event\"<|>\"The Ghost of Christmas Yet to Come signifies a pivotal moment where Scrooge is confronted with the potential futures resulting from his life choices.\")##\n(\"entity\"<|>\"City\"<|>\"geo\"<|>\"The City serves as a backdrop where various scenes unfold, representing the hustle of life and economic concerns.\")##\n(\"relationship\"<|>\"Scrooge\"<|>\"Spirit\"<|>\"Scrooge is guided by the Spirit, who prompts him to reflect on his life and its consequences.\"<|>\"guidance, reflection\"<|>8)##\n(\"relationship\"<|>\"Spirit\"<|>\"Ignorance\"<|>\"The Spirit points out Ignorance, highlighting the need for awareness and responsibility toward societal issues.\"<|>\"social warning, awareness\"<|>7)##\n(\"relationship\"<|>\"Spirit\"<|>\"Want\"<|>\"The Spirit points out Want, symbolizing the dire consequences of neglecting societal needs.\"<|>\"social warning, deprivation\"<|>7)##\n(\"relationship\"<|>\"Scrooge\"<|>\"Ghost of Christmas Yet to Come\"<|>\"The Ghost shows Scrooge visions of the future, challenging him to change his ways to avoid a grim destiny.\"<|>\"future consequences, redemption\"<|>9)##\n(\"relationship\"<|>\"City\"<|>\"Spirit\"<|>\"The Spirit’s presence affects the atmosphere of the City, showcasing the stark realities of life and death surrounding Scrooge.\"<|>\"atmospheric change, reality\"<|>6)##\n(\"content_keywords\"<|>\"redemption, social awareness, consequences of actions, future possibilities\")<|COMPLETE|>", "model": "gpt-4o-mini" }, "0ead7f4b5608c9f8f6389a53fbf84467": { - "return": "(\"entity\"<|>\"Tiny Tim\"<|>\"person\"<|>\"Tiny Tim is a young boy in the Cratchit family, who is portrayed as frail yet joyous and embodies the spirit of 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Cratchit\"<|>\"Tiny Tim\"<|>\"Bob Cratchit expresses love and concern for his son Tiny Tim during the Christmas dinner, highlighting a strong familial bond.\"<|>\"family bond, care\"<|>9)##\n(\"relationship\"<|>\"Mrs. Cratchit\"<|>\"Christmas Pudding\"<|>\"Mrs. Cratchit takes pride in serving the Christmas Pudding, marking it as a highlight of the family's festive gathering.\"<|>\"family tradition, celebration\"<|>8)##\n(\"relationship\"<|>\"Cratchit Family\"<|>\"Christmas Pudding\"<|>\"The Cratchit Family gathers around to enjoy the Christmas Pudding, demonstrating their togetherness and festive spirit.\"<|>\"family unity, celebration\"<|>10)##\n(\"relationship\"<|>\"Scrooge\"<|>\"Tiny Tim\"<|>\"Scrooge reflects on Tiny Tim and expresses concern for his wellbeing, indicating a pivotal change in his character and attitudes towards the less fortunate.\"<|>\"personal transformation, empathy\"<|>8)##\n(\"relationship\"<|>\"Bob Cratchit\"<|>\"Scrooge\"<|>\"Bob praises Scrooge as 'The Founder of the Feast', showing appreciation despite Scrooge’s previous miserliness.\"<|>\"gratitude, redemption\"<|>7)##\n(\"content_keywords\"<|>\"family unity, Christmas spirit, personal transformation, compassion\")<|COMPLETE|>", + "return": "(\"entity\"<|>\"Tiny Tim\"<|>\"person\"<|>\"Tiny Tim is a young member of the Cratchit family, known for his frail condition and positive spirit, often expressing hope and joy.\")## \n(\"entity\"<|>\"Bob Cratchit\"<|>\"person\"<|>\"Bob Cratchit is the father of the Cratchit family, who shows affection for his children and appreciation for their Christmas dinner.\")## \n(\"entity\"<|>\"Mrs. Cratchit\"<|>\"person\"<|>\"Mrs. Cratchit is Bob's wife, proud of her cooking skills, particularly the Christmas pudding, and plays a central role in the family's holiday celebration.\")## \n(\"entity\"<|>\"The Cratchit Family\"<|>\"organization\"<|>\"The Cratchit Family is a close-knit family depicted in the text, characterized by love and warmth, celebrating Christmas together despite their difficulties.\")## \n(\"entity\"<|>\"The Dinner\"<|>\"event\"<|>\"The Dinner is a festive event where the Cratchit family gathers to enjoy a meal, including a special goose and pudding, symbolizing their togetherness.\")## \n(\"entity\"<|>\"Scrooge\"<|>\"person\"<|>\"Scrooge is a character who undergoes transformation and reflection, particularly about life, compassion, and the consequences of one's actions.\")## \n(\"relationship\"<|>\"Bob Cratchit\"<|>\"Tiny Tim\"<|>\"Bob Cratchit shows affection for Tiny Tim, often expressing concern for his health and trying to keep him close during the Christmas celebration.\"<|>\"family bond, father-son relationship\"<|>8)## \n(\"relationship\"<|>\"Mrs. Cratchit\"<|>\"The Dinner\"<|>\"Mrs. Cratchit prepares the dinner with pride, particularly the pudding, making it a highlight of the family's Christmas celebration.\"<|>\"food preparation, holiday tradition\"<|>9)## \n(\"relationship\"<|>\"The Cratchit 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community.\")##\n(\"entity\"<|>\"Dinners\"<|>\"event\"<|>\"Dinners represent the communal and familial gatherings that occur during Christmas, emphasized in the text as significant for enjoyment and sharing.\")##\n(\"entity\"<|>\"Christmas Goose\"<|>\"food\"<|>\"The Christmas Goose is a traditional dish that symbolizes festive feasting and joy during the holiday.\")##\n(\"entity\"<|>\"Four-Roomed House\"<|>\"geo\"<|>\"Bob Cratchit's four-roomed house serves as a setting that reflects the modest means yet warm atmosphere of the Cratchit family.\")##\n(\"entity\"<|>\"The Baker's Doorway\"<|>\"geo\"<|>\"The Baker's Doorway is a place where the Spirit and Scrooge observe dinner carriers, indicating the communal effort in preparing for Christmas.\")##\n(\"entity\"<|>\"Angry Words\"<|>\"event\"<|>\"Angry Words refer to conflicts that arise between dinner carriers, showcasing human interactions and the spirit of camaraderie needed during the holiday.\")##\n(\"entity\"<|>\"Bakers\"<|>\"organization\"<|>\"Bakers are individuals contributing to the community's ability to celebrate by providing food for Christmas.\")##\n(\"entity\"<|>\"Sage and Onion\"<|>\"food\"<|>\"Sage and Onion are ingredients associated with the traditional preparation of Christmas Goose, evoking the culinary aspects of the holiday.\")##\n(\"content_keywords\"<|>\"community, festivities, generosity, family dynamics\")<|COMPLETE|>", + "7dc7f73e19232313a8e0e47e4aa8ebc5": { + "return": "(\"entity\"<|>\"Scrooge\"<|>\"person\"<|>\"Scrooge is a central character who experiences a journey with the Spirit, showing growth and transformation.\")##\n(\"entity\"<|>\"The Spirit\"<|>\"organization\"<|>\"The Spirit is a supernatural entity guiding Scrooge through various scenarios, pushing him towards reflection and change.\")##\n(\"entity\"<|>\"Scrooge's nephew\"<|>\"person\"<|>\"Scrooge's nephew is portrayed as a joyful character who embodies laughter and good-humor, contrasting with Scrooge's initial persona.\")##\n(\"entity\"<|>\"Christmas\"<|>\"event\"<|>\"Christmas is depicted as a time of joy and festivity, significantly influencing the behaviors and thoughts of the characters.\")##\n(\"entity\"<|>\"The Lighthouse\"<|>\"geo\"<|>\"The Lighthouse serves as a solitary structure representing hope and guidance amid a stormy sea, populated by individuals celebrating Christmas.\")##\n(\"entity\"<|>\"The Ship\"<|>\"geo\"<|>\"The Ship is a vessel where the crew shares moments of kindness and reflection during Christmas, symbolizing unity and camaraderie.\")##\n(\"relationship\"<|>\"Scrooge\"<|>\"The Spirit\"<|>\"The Spirit is guiding Scrooge through different scenes, aiming to transform his character and perspective on life.\"<|>\"guidance, transformation\"<|>9)##\n(\"relationship\"<|>\"Scrooge\"<|>\"Scrooge's nephew\"<|>\"Scrooge's relationship with his nephew highlights the contrast between their different views on Christmas and joy.\"<|>\"family dynamics, contrast\"<|>8)##\n(\"relationship\"<|>\"The Spirit\"<|>\"Christmas\"<|>\"The Spirit connects various scenes to the theme of Christmas, emphasizing its impact on individuals’ attitudes and behaviors.\"<|>\"seasonal influence, moral reflection\"<|>10)##\n(\"relationship\"<|>\"Scrooge's nephew\"<|>\"Christmas\"<|>\"Scrooge's nephew embodies the spirit of Christmas, representing joy and good humor during the holiday season.\"<|>\"festivity, positive influence\"<|>9)##\n(\"relationship\"<|>\"The Lighthouse\"<|>\"Christmas\"<|>\"The Lighthouse is a site where Christmas is celebrated, symbolizing hope and warmth in a bleak environment.\"<|>\"hope, celebration\"<|>7)##\n(\"relationship\"<|>\"The Ship\"<|>\"Christmas\"<|>\"The Ship's crew celebrates Christmas together, creating a sense of unity and shared joy despite their circumstances.\"<|>\"unity, shared experience\"<|>8)##\n(\"content_keywords\"<|>\"transformation, Christmas, joy, family dynamics, celebration\")<|COMPLETE|>", "model": "gpt-4o-mini" }, - "f77d8d11b2e499cc9287be7a5000801b": { - "return": "(\"entity\"<|>\"Scrooge\"<|>\"person\"<|>\"Scrooge is a central character who experiences transformation and reflection on his past decisions and relationships.\")##\n(\"entity\"<|>\"The Ghost\"<|>\"event\"<|>\"The Ghost is a supernatural entity that shows Scrooge scenes from his past to provoke realization and remorse.\")##\n(\"entity\"<|>\"Christmas\"<|>\"event\"<|>\"Christmas is depicted as a time associated with joy and abundance, contrasting with Scrooge's initial views.\")##\n(\"entity\"<|>\"The Young Girl\"<|>\"person\"<|>\"The Young Girl is a significant figure from Scrooge's past, representing lost opportunities and innocence.\")##\n(\"entity\"<|>\"The Mother\"<|>\"person\"<|>\"The Mother is depicted as a comely matron, who enjoys the laughter and chaos with her children, showing warmth and family value.\")##\n(\"entity\"<|>\"The Daughter\"<|>\"person\"<|>\"The Daughter is involved in the scene of merriment and childhood play, representing the continuation of family joy.\")##\n(\"relationship\"<|>\"Scrooge\"<|>\"The Young Girl\"<|>\"Scrooge reflects on his past feelings for the Young Girl, recognizing the change in his own spirit and desires over time.\"<|>\"reflection, lost love\"<|>8)##\n(\"relationship\"<|>\"Scrooge\"<|>\"The Ghost\"<|>\"The Ghost guides Scrooge through visions of his past, forcing him to confront his choices and their consequences.\"<|>\"guidance, transformation\"<|>9)##\n(\"relationship\"<|>\"Scrooge\"<|>\"Christmas\"<|>\"Scrooge's views on Christmas evolve as he witnesses the joy and familial love associated with the holiday, marking a shift in his character.\"<|>\"character development, festive spirit\"<|>8)##\n(\"relationship\"<|>\"The Mother\"<|>\"The Daughter\"<|>\"The Mother and Daughter share a loving and playful relationship, showcasing familial bonds and joy during the Christmas season.\"<|>\"familial love, joy\"<|>7)##\n(\"content_keywords\"<|>\"transformation, reflection, Christmas spirit, familial bonds\")<|COMPLETE|>", + "3a5aadf9ec3e5e2b273bb3bc567770f5": { + "return": "(\"entity\"<|>\"The Ghost\"<|>\"organization\"<|>\"The Ghost is a supernatural figure that guides Scrooge through his experiences, showing him the joys of family and the significance of Christmas.\")##\n(\"entity\"<|>\"Blind Man's Buff\"<|>\"event\"<|>\"Blind Man's Buff is a traditional game played during the gathering, contributing to the festive atmosphere and interactions among the guests.\")##\n(\"entity\"<|>\"Forfeits\"<|>\"event\"<|>\"Forfeits is another social game played by the characters, emphasizing the playful nature of their Christmas celebration.\")##\n(\"entity\"<|>\"The Plump Sister\"<|>\"person\"<|>\"The Plump Sister is a character in the gathering who becomes the focus of Topper's playful advances during the games, contributing to the comedic aspects of the gathering.\")##\n(\"entity\"<|>\"London\"<|>\"geo\"<|>\"London serves as the general setting for the story, although its specific mention relates to an animal in the context of a game.\")##\n(\"entity\"<|>\"The Harp\"<|>\"technology\"<|>\"The Harp is a musical instrument played by Scrooge's niece, contributing to the evening's entertainment and illustrating the family's musical talents.\")##\n(\"entity\"<|>\"The Spirit\"<|>\"organization\"<|>\"The Spirit refers to the Ghost of Christmas Present, who observes and interacts with the gathering, influencing Scrooge's emotional journey.\")##\n(\"content_keywords\"<|>\"supernatural guidance, games, festive atmosphere, family dynamics, joy\")<|COMPLETE|>", "model": "gpt-4o-mini" }, - "c48d46dbd6ce06dc16be08d332209205": { - "return": "(\"entity\"<|>\"Master Peter\"<|>\"person\"<|>\"Master Peter is a member of the Cratchit family, who is considered for a job opportunity and reflects on his future prospects during the Christmas gathering.\")##\n(\"entity\"<|>\"Martha\"<|>\"person\"<|>\"Martha is a poor apprentice at a milliner's and shares her experience with the family during their Christmas gathering, contributing to the family atmosphere.\")##\n(\"entity\"<|>\"The Lord\"<|>\"person\"<|>\"The Lord is mentioned by Martha as someone she encountered, illustrating her experiences outside her family's struggles.\")##\n(\"entity\"<|>\"The Countess\"<|>\"person\"<|>\"The Countess is referenced by Martha, showcasing her interaction with figures of higher social status, contrasting with the Cratchit family's situation.\")##\n(\"entity\"<|>\"Christmas Feast\"<|>\"event\"<|>\"The Christmas Feast is the central gathering for the Cratchit family, where various interactions occur, highlighting their feelings towards Scrooge.\")##\n(\"relationship\"<|>\"Master Peter\"<|>\"Bob Cratchit\"<|>\"Bob Cratchit is considering job opportunities for Master Peter, reflecting the family's aspirations and hopes for betterment.\"<|>\"aspiration, family support\"<|>6)##\n(\"relationship\"<|>\"Martha\"<|>\"Cratchit Family\"<|>\"Martha contributes to the family dynamic during their Christmas gathering by sharing her experiences and adding to the festive atmosphere.\"<|>\"family interaction, celebration\"<|>7)##\n(\"relationship\"<|>\"Martha\"<|>\"Tiny Tim\"<|>\"Martha's presence and conversation at the gathering impacts Tiny Tim's experience and highlights family connections during Christmas.\"<|>\"family ties, support\"<|>5)##\n(\"relationship\"<|>\"The Lord\"<|>\"Martha\"<|>\"Martha's reference to The Lord indicates her exposure to higher social circles, which contrasts her family's financial struggles.\"<|>\"social status, contrast\"<|>4)##\n(\"relationship\"<|>\"The Countess\"<|>\"Martha\"<|>\"Martha's encounter with The Countess reflects her aspirations and experiences outside her lower socio-economic status.\"<|>\"social contrast, aspirations\"<|>4)##\n(\"relationship\"<|>\"Christmas Feast\"<|>\"Cratchit Family\"<|>\"The Christmas Feast is a pivotal event for the Cratchit Family where they express their feelings and celebrate together.\"<|>\"family gathering, significance\"<|>9)##\n(\"content_keywords\"<|>\"family aspirations, social contrast, nurturing relationships, holiday spirit\")<|COMPLETE|>", + "455c4a7b963c1fcad74e0724d83d7b3a": { + "return": "(\"entity\"<|>\"Scrooge\"<|>\"person\"<|>\"Scrooge is a character reflecting on the consequences of a man's death, analyzing emotions and connections to the deceased.\")##\n(\"entity\"<|>\"Spirit\"<|>\"event\"<|>\"The Spirit represents a ghostly figure guiding Scrooge through reflections related to a death, illustrating lessons about life and mortality.\")##\n(\"entity\"<|>\"Caroline\"<|>\"person\"<|>\"Caroline is portrayed as a mother filled with hope and emotion regarding her husband’s situation, revealing her character through her reactions to news.\")##\n(\"entity\"<|>\"Bob Cratchit\"<|>\"person\"<|>\"Bob Cratchit is depicted as a husband and father, embodying the challenges of family life and economic struggle after a critical loss.\")##\n(\"entity\"<|>\"Tiny Tim\"<|>\"person\"<|>\"Tiny Tim is a child in the Cratchit family, whose well-being is central to the family's emotional state and hopes for the future.\")##\n(\"entity\"<|>\"The Cratchit House\"<|>\"organization\"<|>\"The Cratchit House symbolizes a place of familial connection and warmth, despite the hardships faced by its inhabitants.\")##\n(\"entity\"<|>\"The Event of Death\"<|>\"event\"<|>\"The Event of Death signifies a pivotal moment affecting the characters, transitioning their emotional state and family dynamics.\")##\n(\"relationship\"<|>\"Scrooge\"<|>\"Spirit\"<|>\"Scrooge is guided by the Spirit to reflect on the impact of death, learning important lessons about life and legacy.\"<|>\"reflection, guidance\"<|>8)##\n(\"relationship\"<|>\"Caroline\"<|>\"Bob Cratchit\"<|>\"Caroline and Bob Cratchit represent a married couple 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"(\"entity\"<|>\"The Cheerful Company\"<|>\"organization\"<|>\"The Cheerful Company refers to the group assembled around the fire, representing family togetherness and joy during Christmas.\")##\n(\"entity\"<|>\"The Setting Sun\"<|>\"geo\"<|>\"The Setting Sun is depicted as leaving a streak of fiery red, symbolizing transition and the passage of time against the desolation of the moor.\")##\n(\"entity\"<|>\"The Frozen Moor\"<|>\"geo\"<|>\"The Frozen Moor is a bleak and desolate landscape, representing hardship and the struggles faced by those who live there.\")##\n(\"entity\"<|>\"The Hut\"<|>\"geo\"<|>\"The Hut is a shelter for the miners that provides warmth and a gathering space for family during the winter, serving as a symbol of refuge.\")##\n(\"entity\"<|>\"Storm-Birds\"<|>\"geo\"<|>\"Storm-Birds are depicted as creatures that rise and fall with the waves, symbolizing the harshness of the environment and the connection to the sea.\")##\n(\"entity\"<|>\"The Hearth\"<|>\"geo\"<|>\"The Hearth is the gathering place around which the old man and his family sing, signifying warmth, comfort, and familial bonds during the festive season.\")##\n(\"entity\"<|>\"Christmas Song\"<|>\"event\"<|>\"The Christmas Song is the traditional tune sung by the old man and his family, highlighting themes of nostalgia and familial joy during the holiday season.\")##\n(\"relationship\"<|>\"The Old Man\"<|>\"The Cheerful Company\"<|>\"The Old Man leads the Cheerful Company in song, promoting joy and togetherness during their Christmas gathering.\"<|>\"family, togetherness\"<|>8)##\n(\"relationship\"<|>\"The Frozen Moor\"<|>\"The Miners\"<|>\"The Frozen Moor serves as the living environment for the Miners, reflecting the harsh living conditions they endure.\"<|>\"environment, hardship\"<|>7)##\n(\"relationship\"<|>\"The Setting Sun\"<|>\"The Frozen Moor\"<|>\"The Setting Sun casts a dramatic light on the Frozen Moor, highlighting the stark beauty and desolation of 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used for tax purposes and identification.\")##\n(\"entity\"<|>\"U.S. federal laws\"<|>\"geo\"<|>\"U.S. federal laws govern the tax treatment of contributions made to the Project Gutenberg Literary Archive Foundation and those involved in charitable activities.\")##\n(\"entity\"<|>\"Website\"<|>\"organization\"<|>\"The Project Gutenberg website serves as a hosting platform for eBooks, donation methods, and information regarding the Foundation's activities.\")##\n(\"entity\"<|>\"www.gutenberg.org/contact\"<|>\"organization\"<|>\"The contact page provides up-to-date information on how to reach the Project Gutenberg Literary Archive Foundation.\")##\n(\"entity\"<|>\"www.gutenberg.org/donate\"<|>\"organization\"<|>\"The donation page on the Project Gutenberg website where individuals can contribute funds to support the Foundation's mission.\")##\n(\"entity\"<|>\"Public Domain\"<|>\"concept\"<|>\"Public Domain refers to works that are available for free use without copyright restrictions, a key focus of Project Gutenberg's mission to distribute such materials.\")##\n(\"relationship\"<|>\"501(c)(3)\"<|>\"Project Gutenberg Literary Archive Foundation\"<|>\"The Project Gutenberg Literary Archive Foundation operates under the 501(c)(3) tax-exempt status, allowing it to receive tax-deductible donations.\"<|>\"tax status, charitable organization\"<|>9)##\n(\"relationship\"<|>\"EIN 64-6221541\"<|>\"Project Gutenberg Literary Archive Foundation\"<|>\"The EIN serves as the foundation's identification for tax purposes, linking it to federal tax compliance.\"<|>\"tax identification, compliance\"<|>8)##\n(\"relationship\"<|>\"Project Gutenberg Literary Archive Foundation\"<|>\"U.S. federal laws\"<|>\"The Foundation must comply with U.S. federal laws regarding charitable donations and tax-exempt status.\"<|>\"legal compliance, federal regulations\"<|>9)##\n(\"relationship\"<|>\"Website\"<|>\"Project Gutenberg Literary Archive Foundation\"<|>\"The Foundation's website is essential for disseminating information and facilitating donations and eBook access.\"<|>\"information dissemination, operational platform\"<|>10)##\n(\"relationship\"<|>\"Public Domain\"<|>\"Project Gutenberg Literary Archive Foundation\"<|>\"The Foundation's mission is focused on distributing works that are in the Public Domain, enhancing accessibility for the public.\"<|>\"accessibility, distribution\"<|>9)##\n<|COMPLETE|>", "model": "gpt-4o-mini" }, - "d47101395ee9b0b7d3415f5eca4cb88b": { - "return": "(\"entity\"<|>\"Scrooge's nephew\"<|>\"person\"<|>\"Scrooge's nephew is a character present at the gathering who actively participates in the games and engages with his family.\")##\n(\"entity\"<|>\"The plump sister\"<|>\"person\"<|>\"The plump sister is a character involved in the games, specifically blind man's-buff, and captures Topper's attention during the festivities.\")##\n(\"entity\"<|>\"Ghost\"<|>\"event\"<|>\"The Ghost refers to the spirit guiding Scrooge, embodying the themes of memory and reflection on the joys of Christmas.\")##\n(\"entity\"<|>\"London\"<|>\"geo\"<|>\"London serves as the setting where the events take place, adding a cultural backdrop to the Christmas gathering.\")##\n(\"entity\"<|>\"Games\"<|>\"event\"<|>\"The Games represent various activities played during the gathering, reinforcing themes of merriment and family unity.\")##\n(\"relationship\"<|>\"Scrooge's nephew\"<|>\"Scrooge's niece\"<|>\"Scrooge's nephew and niece engage in playful banter and competition during the games, enhancing their familial bond.\"<|>\"family interaction, playful rivalry\"<|>7)##\n(\"relationship\"<|>\"Topper\"<|>\"The plump sister\"<|>\"Topper shows a clear interest in the plump sister during the games, indicating a playful dynamic between the two.\"<|>\"flirtation, playful attention\"<|>6)##\n(\"relationship\"<|>\"The Ghost\"<|>\"Scrooge\"<|>\"The Ghost influences Scrooge's reflections on his past and his current emotions regarding Christmas festivities.\"<|>\"memory, influence\"<|>8)##\n(\"relationship\"<|>\"The plump sister\"<|>\"Blind Man's-Buff\"<|>\"The plump sister is central to the game of Blind Man's-Buff, as Topper pursues her, highlighting personal dynamics during the playing.\"<|>\"game participation, personal dynamics\"<|>7)##\n(\"relationship\"<|>\"London\"<|>\"Scrooge\"<|>\"London as the setting contextualizes Scrooge's experiences and transformations regarding Christmas celebrations.\"<|>\"setting, transformation\"<|>5)##\n(\"content_keywords\"<|>\"family games, festive spirit, playful interactions, cultural setting\")<|COMPLETE|>", + "bbc1f7093f7f7d16bc7fca8e933f8196": { + "return": "(\"entity\"<|>\"Red-faced Gentleman\"<|>\"person\"<|>\"The Red-faced Gentleman is a character who humorously discusses the potential nature of a cheap funeral at the gathering.\")##\n(\"entity\"<|>\"Gentleman with the Excrescence\"<|>\"person\"<|>\"The Gentleman with the Excrescence is characterized by a physical trait and provides humorous remarks about attending a funeral.\")##\n(\"entity\"<|>\"The Funeral\"<|>\"event\"<|>\"The Funeral is a context for conversation among characters, reflecting on mortality and social connections surrounding death.\")##\n(\"entity\"<|>\"Old Scratch\"<|>\"concept\"<|>\"Old Scratch is a colloquial term used in reference to the devil, indicating a grim context in discussions about death.\")##\n(\"entity\"<|>\"The Meeting\"<|>\"event\"<|>\"The Meeting is characterized by light-hearted banter among characters regarding the funeral and their connections to the deceased.\")##\n(\"entity\"<|>\"The Phantom\"<|>\"organization\"<|>\"The Phantom represents a ghostly presence guiding Scrooge through reflections on his life and future decisions.\")##\n(\"entity\"<|>\"The Quarter\"<|>\"geo\"<|>\"The Quarter is a depiction of an impoverished and crime-ridden area of the town, emphasizing societal neglect.\")##\n(\"entity\"<|>\"The Coal Shop\"<|>\"organization\"<|>\"The Coal Shop is a 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CHRISTMAS CAROL\"<|>\"event\"<|>\"END OF THE PROJECT GUTENBERG EBOOK A CHRISTMAS CAROL marks the conclusion of a particular eBook within the Project Gutenberg collection.\")##\n(\"entity\"<|>\"old editions\"<|>\"organization\"<|>\"Old editions refer to previous versions of eBooks that are being renamed and replaced, part of Project Gutenberg's updating process.\")##\n(\"entity\"<|>\"special rules\"<|>\"concept\"<|>\"Special rules outline specific guidelines that govern the copying and distribution of Project Gutenberg eBooks to protect its mission and trademark.\")##\n(\"entity\"<|>\"General Terms of Use\"<|>\"concept\"<|>\"General Terms of Use details the overall framework and guidelines for using Project Gutenberg's works and services.\")##\n(\"entity\"<|>\"copyright law\"<|>\"concept\"<|>\"Copyright law encompasses the legal rules governing the rights and usage of literary and artistic works, relevant to Project Gutenberg's operations.\")##\n(\"entity\"<|>\"trademark 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to ensure compliance in distribution.\"<|>\"guidelines, compliance\"<|>8)##\n(\"relationship\"<|>\"General Terms of Use\"<|>\"Project Gutenberg License\"<|>\"The General Terms of Use provides the foundational legal framework for the Project Gutenberg License.\"<|>\"legal structure, user guidelines\"<|>9)##\n(\"relationship\"<|>\"copyright law\"<|>\"Project Gutenberg License\"<|>\"The Project Gutenberg License operates within the confines of copyright law, affecting all distributions of its works.\"<|>\"legal compliance, distribution rights\"<|>9)##\n(\"relationship\"<|>\"trademark license\"<|>\"Project Gutenberg License\"<|>\"The trademark license governs the usage of the Project Gutenberg name in association with its electronic works.\"<|>\"brand protection, governance\"<|>8)##\n(\"relationship\"<|>\"derivative works\"<|>\"General Terms of Use\"<|>\"The General Terms of Use outlines the policies regarding the creation of derivative works based on Project Gutenberg content.\"<|>\"adaptation rights, user permissions\"<|>7)##\n(\"content_keywords\"<|>\"Project Gutenberg eBooks, updating process, copyright governance\")<|COMPLETE|>", + "4617c23d2b43a07334ed71999f6d34f8": { + "return": "(\"entity\"<|>\"Topper\"<|>\"person\"<|>\"Topper is one of Fred's friends who attends the Christmas gathering, contributing to the joyful atmosphere of the celebration.\")##\n(\"entity\"<|>\"The Family\"<|>\"organization\"<|>\"The Family includes Bob Cratchit and his loved ones, who represent themes of togetherness and support during Christmas.\")##\n(\"entity\"<|>\"The City\"<|>\"geo\"<|>\"The City refers to the broader urban environment in which Scrooge operates and signifies the societal norms and attitudes towards Christmas.\")##\n(\"entity\"<|>\"The Tank\"<|>\"location\"<|>\"The Tank is the workplace setting where Bob Cratchit works under Scrooge, highlighting the power dynamics in their relationship.\")##\n(\"entity\"<|>\"Smoking 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character who undergoes a transformation, contemplating his own future and the significance of his past actions.\")##\n(\"entity\"<|>\"Christmas\"<|>\"event\"<|>\"Christmas represents a time of reflection and change for Scrooge, emphasizing themes of redemption.\")##\n(\"entity\"<|>\"The Ghost of Christmas Yet to Come\"<|>\"organization\"<|>\"The Ghost of Christmas Yet to Come is a spectral being that guides Scrooge through visions of his potential future.\")##\n(\"entity\"<|>\"The Future\"<|>\"geo\"<|>\"The Future is represented as a realm of possibility and consequence that concerns Scrooge's fate and choices.\")##\n(\"relationship\"<|>\"Bob\"<|>\"Tiny Tim\"<|>\"Bob reflects on Tiny Tim's memory, highlighting the impact of his loss on the family dynamics.\"<|>\"family dynamics, loss\"<|>8)##\n(\"relationship\"<|>\"Mrs. Cratchit\"<|>\"Bob\"<|>\"Mrs. Cratchit supports Bob emotionally, exemplifying love within the Cratchit family.\"<|>\"emotional support, family 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symbolizes warmth and cheer, often associated with celebrations during the holiday season, particularly in the context of family gatherings.\")##\n(\"entity\"<|>\"Health\"<|>\"concept\"<|>\"Health is a theme represented through the need for care and the role of the community in supporting those who are suffering.\")##\n(\"relationship\"<|>\"Scrooge\"<|>\"Spirit\"<|>\"The Spirit directly influences Scrooge’s transformation and highlights the importance of compassion in human life.\"<|>\"personal growth, spiritual journey\"<|>10)##\n(\"relationship\"<|>\"Spirit\"<|>\"Children\"<|>\"The Spirit introduces Scrooge to the Children as representations of societal neglect, urging recognition and action.\"<|>\"social issues, innocence\"<|>9)##\n(\"relationship\"<|>\"Twelfth-Night Party\"<|>\"Scrooge\"<|>\"The Twelfth-Night Party serves as a representation of festive joy that contrasts with Scrooge's initial isolation.\"<|>\"celebration, 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underscores the necessity for societal compassion during difficult times.\"<|>\"social awareness, empathy\"<|>10)##\n(\"content_keywords\"<|>\"compassion, societal failure, redemption, social responsibility\")<|COMPLETE|>", + "2ac2768c650ed961b04df670684310d8": { + "return": "(\"entity\"<|>\"The Lamplighter\"<|>\"person\"<|>\"The Lamplighter is a character who brings light to the street, symbolizing hope and joy as he dotting the dusky street with specks of light.\")##\n(\"entity\"<|>\"The Moor\"<|>\"geo\"<|>\"The Moor is depicted as a bleak and desolate landscape, symbolizing the harsh conditions where miners live.\")##\n(\"entity\"<|>\"The Old Man\"<|>\"person\"<|>\"The Old Man is a character who sings a Christmas song, providing a sense of tradition and warmth amidst the desolate environment.\")##\n(\"entity\"<|>\"The Hut\"<|>\"geo\"<|>\"The Hut is a place where miners and their families gather to celebrate Christmas, representing warmth and community.\")##\n(\"entity\"<|>\"The 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feast.\")##\n(\"entity\"<|>\"Oysters\"<|>\"organization\"<|>\"Oysters represent a delicacy often served during Christmas, symbolizing luxury and celebration.\")##\n(\"entity\"<|>\"Pies\"<|>\"organization\"<|>\"Pies are a traditional dessert during the Christmas season, embodying the spirit of sharing and celebration.\")##\n(\"entity\"<|>\"Puddings\"<|>\"organization\"<|>\"Puddings are a classic Christmas dessert, symbolizing warmth and indulgence during the holiday.\")##\n(\"entity\"<|>\"Fruit\"<|>\"organization\"<|>\"Fruit represents a staple part of the Christmas spread, emphasizing freshness and the joy of sharing.\")##\n(\"entity\"<|>\"Punch\"<|>\"organization\"<|>\"Punch refers to a festive drink that is often served at Christmas gatherings, contributing to the celebration.\")##\n(\"entity\"<|>\"Antique Scabbard\"<|>\"organization\"<|>\"The Antique Scabbard is a symbolic object seen on the Ghost, representing the notion of protection and history.\")##\n(\"relationship\"<|>\"Scrooge\"<|>\"Spirit\"<|>\"Scrooge interacts with the Spirit, who has come to teach him about the meaning of Christmas and share lessons of generosity.\"<|>\"transformation, mentorship\"<|>8)##\n(\"relationship\"<|>\"Ghost of Christmas Present\"<|>\"Holly\"<|>\"The Ghost is adorned with Holly, emphasizing its association with Christmas and the spirit of celebration.\"<|>\"festivity, symbolism\"<|>7)##\n(\"relationship\"<|>\"Ghost of Christmas Present\"<|>\"Mistletoe\"<|>\"The Spirit’s presence is enhanced by Mistletoe, a traditional decoration symbolizing love and goodwill.\"<|>\"tradition, symbolism\"<|>7)##\n(\"relationship\"<|>\"Ghost of Christmas Present\"<|>\"Red Berries\"<|>\"The Ghost is surrounded by Red Berries, reinforcing the imagery of Christmas abundance and decoration.\"<|>\"festivity, abundance\"<|>7)##\n(\"relationship\"<|>\"Ghost of Christmas Present\"<|>\"Turkeys\"<|>\"The Ghost showcases a feast that includes Turkeys, emphasizing the importance of sharing meals during Christmas.\"<|>\"feast, sharing\"<|>8)##\n(\"relationship\"<|>\"Ghost of Christmas Present\"<|>\"Poultry\"<|>\"The Ghost presents Poultry as part of the Christmas spread, highlighting the traditional meals associated with the holiday.\"<|>\"feast, tradition\"<|>8)##\n(\"relationship\"<|>\"Ghost of Christmas Present\"<|>\"Meat\"<|>\"The included Meat within the Ghost's feast symbolizes abundance and the spirit of generosity during Christmas.\"<|>\"abundance, generosity\"<|>8)##\n(\"relationship\"<|>\"Ghost of Christmas Present\"<|>\"Sausages\"<|>\"The presence of Sausages in the Ghost's portrayal reinforces the variety often seen in Christmas dinners.\"<|>\"feast, variety\"<|>8)##\n(\"relationship\"<|>\"Ghost of Christmas Present\"<|>\"Oysters\"<|>\"The inclusion of Oysters in the Christmas feast illustrates the luxury and indulgence during festive celebrations.\"<|>\"luxury, celebration\"<|>8)##\n(\"relationship\"<|>\"Ghost of Christmas Present\"<|>\"Pies\"<|>\"Pies presented by the Ghost highlight the traditions of holiday desserts shared among families.\"<|>\"tradition, dessert\"<|>8)##\n(\"relationship\"<|>\"Ghost of Christmas Present\"<|>\"Puddings\"<|>\"Puddings are part of the Ghost’s feast, embodying warmth and comfort during the Christmas season.\"<|>\"warmth, comfort\"<|>8)##\n(\"relationship\"<|>\"Ghost of Christmas Present\"<|>\"Fruit\"<|>\"Fruit served by the Ghost reinforces the joy of sharing and the abundance of the Christmas season.\"<|>\"sharing, abundance\"<|>8)##\n(\"relationship\"<|>\"Ghost of Christmas Present\"<|>\"Punch\"<|>\"Punch serves as a festive drink shared during Christmas, enhancing the celebratory atmosphere.\"<|>\"celebration, festivity\"<|>8)##\n(\"relationship\"<|>\"Ghost of Christmas Present\"<|>\"Antique Scabbard\"<|>\"The Antique Scabbard worn by the Spirit symbolizes history and the guardianship of Christmas traditions.\"<|>\"history, guardianship\"<|>7)##\n<|COMPLETE|>", "model": "gpt-4o-mini" }, - "bc02ec5761f825a4a1064c51b11f5f28": { - "return": "(\"entity\"<|>\"Scrooge\"<|>\"person\"<|>\"Scrooge is a main character who undergoes a transformation, initially embodying greed and later embracing generosity and kindness.\")##\n(\"entity\"<|>\"Fred\"<|>\"person\"<|>\"Fred is Scrooge's niece by marriage who expresses surprise and warmth at Scrooge's unexpected visit for dinner.\")##\n(\"entity\"<|>\"Bob Cratchit\"<|>\"person\"<|>\"Bob Cratchit is Scrooge's employee who arrives late to work after celebrating Christmas, displaying a sense of trepidation toward Scrooge.\")##\n(\"entity\"<|>\"Tiny Tim\"<|>\"person\"<|>\"Tiny Tim is Bob Cratchit's son, who represents innocence and the impact of Scrooge's change of heart.\")##\n(\"entity\"<|>\"Christmas\"<|>\"event\"<|>\"Christmas is the central holiday during which the events unfold, leading to significant character transformations and themes of generosity.\")##\n(\"entity\"<|>\"City\"<|>\"geo\"<|>\"The City refers to a generic location embodying the community and societal norms, with which Scrooge has a complex relationship.\")##\n(\"relationship\"<|>\"Scrooge\"<|>\"Fred\"<|>\"Scrooge surprises Fred with his unexpected visit, indicating a shift in their familial relationship and Scrooge's attitude toward family.\"<|>\"family, transformation\"<|>7)##\n(\"relationship\"<|>\"Scrooge\"<|>\"Bob Cratchit\"<|>\"Scrooge reprimands Bob for arriving late, but ultimately decides to raise his salary, signaling a significant change in their employer-employee relationship.\"<|>\"employment, generosity\"<|>8)##\n(\"relationship\"<|>\"Scrooge\"<|>\"Tiny Tim\"<|>\"Scrooge becomes a father figure to Tiny Tim, showing a deep commitment to his well-being after realizing the importance of family and caring for others.\"<|>\"transformation, mentorship\"<|>9)##\n(\"relationship\"<|>\"Bob Cratchit\"<|>\"Tiny Tim\"<|>\"Bob Cratchit is Tiny Tim's father, and their relationship highlights the theme of family struggle and love, especially during Christmas.\"<|>\"family, struggle\"<|>6)##\n(\"relationship\"<|>\"Scrooge\"<|>\"Christmas\"<|>\"Scrooge's transformation is centered around the spirit of Christmas, which he learns to embrace and celebrate.\"<|>\"transformation, holiday spirit\"<|>10)##\n(\"content_keywords\"<|>\"transformation, family, generosity, Christmas, kindness\")<|COMPLETE|>", + "dadf46477737e1949143b410fc89ff80": { + "return": "(\"entity\"<|>\"Peter Cratchit\"<|>\"person\"<|>\"Peter Cratchit is the eldest son of Bob and Mrs. Cratchit, who is portrayed as contemplative about his future as he considers a potential job opportunity.\")##\n(\"entity\"<|>\"Martha Cratchit\"<|>\"person\"<|>\"Martha Cratchit is a daughter of Bob and Mrs. Cratchit, working as an apprentice at a milliner's and looking forward to the holiday for a good rest.\")##\n(\"entity\"<|>\"The children\"<|>\"organization\"<|>\"The children are the offspring of the Cratchit family, showcasing innocence and joy during the Christmas celebrations, reacting with laughter and cheer.\")##\n(\"entity\"<|>\"The Countess\"<|>\"person\"<|>\"The Countess is mentioned by Martha, indicating an encounter that highlights the social stratification and aspirations of the Cratchit family.\")##\n(\"entity\"<|>\"The Lord\"<|>\"person\"<|>\"The Lord is referenced in Martha's account of her work, underscoring the contrast between the Cratchit family's modest means and the nobility.\")##\n(\"entity\"<|>\"The Spirit's Torch\"<|>\"event\"<|>\"The Spirit's Torch symbolizes the joy and magic of the Christmas spirit, illuminating the family's happiness despite their hardships.\")##\n(\"entity\"<|>\"The Gathering\"<|>\"event\"<|>\"The Gathering refers to the collective event of the family coming together to celebrate Christmas, filled with warmth and camaraderie despite their struggles.\")##\n(\"relationship\"<|>\"Peter Cratchit\"<|>\"Martha Cratchit\"<|>\"Peter and Martha interact as siblings during the Christmas gathering, reflecting familial bonds and shared experiences.\"<|>\"sibling relationship, family dynamics\"<|>7)##\n(\"relationship\"<|>\"Martha Cratchit\"<|>\"The Countess\"<|>\"Martha’s mention of having seen the Countess represents her connection to higher social circles and dreams beyond her current situation.\"<|>\"social aspirations, class contrast\"<|>5)##\n(\"relationship\"<|>\"Tiny Tim\"<|>\"The Cratchit Family\"<|>\"Tiny Tim is an integral part of the Cratchit family, embodying their hopes and joys during the Christmas festivities.\"<|>\"family unity, hope\"<|>9)##\n(\"relationship\"<|>\"Bob Cratchit\"<|>\"The Gathering\"<|>\"Bob Cratchit leads his family in the Christmas Gathering, showcasing their love and commitment to celebrating together despite worries.\"<|>\"family commitment, celebration\"<|>8)##\n(\"relationship\"<|>\"The Spirit\"<|>\"The Gathering\"<|>\"The Spirit enhances The Gathering by infusing it with joy and positivity, transforming the atmosphere into one of celebration.\"<|>\"holiday influence, spirit embodiment\"<|>9)##\n(\"content_keywords\"<|>\"family unity, social class, aspirations, festive spirit\")<|COMPLETE|>", "model": "gpt-4o-mini" }, - "124515245e07a8287850be12cf0c6fa8": { - "return": "(\"entity\"<|>\"The Man\"<|>\"person\"<|>\"The Man is a character who brings Christmas toys and presents, representing the spirit of giving associated with the holiday season.\")##\n(\"entity\"<|>\"Christmas Toys and Presents\"<|>\"event\"<|>\"Christmas Toys and Presents are associated with joy and celebration, marking the festive occasion and the love shared among family.\")##\n(\"entity\"<|>\"The Boisterous Group\"<|>\"organization\"<|>\"The Boisterous Group consists of children engaged in playful and lively activities, embodying the joy and chaos of familial festivities.\")##\n(\"entity\"<|>\"The Defenceless Porter\"<|>\"person\"<|>\"The Defenceless Porter is a character who is humorously overrun by children excited for the Christmas celebrations and gifts.\")##\n(\"content_keywords\"<|>\"joy, chaos, holiday spirit, reflection on past choices\")<|COMPLETE|>", + "b5de796fb64e8985ac4e015cd42095a4": { + "return": "(\"entity\"<|>\"Holly\"<|>\"organization\"<|>\"Holly is mentioned as part of the traditional decorations associated with Christmas, symbolizing festivity.\")##\n(\"entity\"<|>\"Mistletoe\"<|>\"organization\"<|>\"Mistletoe is described in the context of Christmas decorations, often used for kissing and holiday celebrations.\")##\n(\"entity\"<|>\"Red Berries\"<|>\"organization\"<|>\"Red Berries are decorative elements commonly used during Christmas decorations, adding color and festivity.\")##\n(\"entity\"<|>\"Turkeys\"<|>\"organization\"<|>\"Turkeys are food items prominently featured in Christmas meals, representing a festive celebration of the holiday.\")##\n(\"entity\"<|>\"Geese\"<|>\"organization\"<|>\"Geese are also traditional food items that may be included in Christmas feasts, adding to the holiday cheer.\")##\n(\"entity\"<|>\"Poultry\"<|>\"organization\"<|>\"Poultry represents a variety of birds that are often prepared for Christmas dinners, enhancing the festive festivities.\")##\n(\"entity\"<|>\"Brawn\"<|>\"organization\"<|>\"Brawn refers to a traditional meat dish that may be part of Christmas festivities, highlighting culinary practices of the season.\")##\n(\"entity\"<|>\"Meat\"<|>\"organization\"<|>\"Meat serves as a general representation of the food consumed during Christmas celebrations, contributing to the holiday meals.\")##\n(\"entity\"<|>\"Sausages\"<|>\"organization\"<|>\"Sausages are food items mentioned that may be served during Christmas festivities, adding to the variety of traditional foods.\")##\n(\"entity\"<|>\"Oysters\"<|>\"organization\"<|>\"Oysters are considered delicacies that can enhance special occasions such as Christmas, indicating celebratory dining.\")##\n(\"entity\"<|>\"Pies\"<|>\"organization\"<|>\"Pies, often sweet, are traditional desserts served during Christmas, symbolizing festive dessert offerings.\")##\n(\"entity\"<|>\"Puddings\"<|>\"organization\"<|>\"Puddings are showcased as a traditional dessert during Christmas celebrations, central to holiday meals.\")##\n(\"entity\"<|>\"Fruit\"<|>\"organization\"<|>\"Fruit represents the fresh produce that accompanies holiday meals, bringing color and variety to the Christmas table.\")##\n(\"entity\"<|>\"Punch\"<|>\"organization\"<|>\"Punch is a festive beverage that is often served during Christmas celebrations, adding to the holiday spirit.\")##\n(\"entity\"<|>\"City Streets\"<|>\"geo\"<|>\"City Streets are referenced as the setting where people are celebrating and making music, contributing to the festive atmosphere of Christmas morning.\")##\n(\"entity\"<|>\"Snow\"<|>\"geo\"<|>\"Snow is a significant element of the Christmas setting, emphasizing the winter atmosphere and contributing to the imagery of the holiday.\")##\n(\"entity\"<|>\"Parapets\"<|>\"geo\"<|>\"Parapets are structures that people use to engage in playful activities, such as throwing snowballs during Christmas celebrations.\")##\n(\"content_keywords\"<|>\"Christmas decorations, festive foods, winter atmosphere, community joy\")<|COMPLETE|>", "model": "gpt-4o-mini" }, - "da9373c0b0c596fde597d43a3eab0185": { - "return": "(\"entity\"<|>\"Topper\"<|>\"person\"<|>\"Topper is a guest at the Christmas party, representing the jovial and festive spirit of the gathering with Fred and Scrooge.\")##\n(\"entity\"<|>\"The Party\"<|>\"event\"<|>\"The Party is a festive gathering that celebrates Christmas, filled with games and joyful unity among friends and family.\")##\n(\"entity\"<|>\"The Tank\"<|>\"location\"<|>\"The Tank refers to Bob Cratchit's work area, where he encounters Scrooge and faces the consequences of arriving late.\")\n(\"entity\"<|>\"Christmas Bowl of Smoking Bishop\"<|>\"event\"<|>\"The Christmas Bowl of Smoking Bishop refers to a traditional holiday drink that Scrooge invites Bob Cratchit to share, symbolizing camaraderie and celebration.\")##\n(\"content_keywords\"<|>\"festive spirit, unity, workplace dynamics, holiday traditions\")<|COMPLETE|>", + "5e401523b119c8201c5f3fb0689a28e8": { + "return": "(\"entity\"<|>\"The Ghost\"<|>\"event\"<|>\"The Ghost serves as a supernatural guide for Scrooge, revealing lessons about kindness, death, and the emotional repercussions of one's actions.\")##\n(\"entity\"<|>\"The Mother\"<|>\"person\"<|>\"The Mother is a character who exhibits anxiety and hope as she awaits her husband's return, embodying the emotional depth of family relations during hardship.\")##\n(\"entity\"<|>\"The Husband\"<|>\"person\"<|>\"The Husband is depicted as a careworn man, bringing news that impacts his family's emotional state, symbolizing the struggle between hope and despair.\")##\n(\"entity\"<|>\"Peter\"<|>\"person\"<|>\"Peter is a son in the Cratchit family, responsible and calm, attempting to engage his siblings amidst a tense family situation and financial uncertainty.\")##\n(\"entity\"<|>\"The Children\"<|>\"person\"<|>\"The Children in the Cratchit family represent innocence and curiosity, highlighting the effects of their family's struggles on their happiness.\")##\n(\"entity\"<|>\"The Debt\"<|>\"concept\"<|>\"The Debt symbolizes the financial burdens faced by the Cratchit family, a source of anxiety and tension impacting their morale and outlook.\")##\n(\"entity\"<|>\"Hope\"<|>\"concept\"<|>\"Hope emerges as a central theme in the characters' lives, particularly through Caroline's reaction to news about the husband and the family's future.\")##\n(\"relationship\"<|>\"The Ghost\"<|>\"Scrooge\"<|>\"The Ghost interacts with Scrooge, revealing truths that challenge his perspective on life and death.\"<|>\"rebuke, self-discovery\"<|>10)##\n(\"relationship\"<|>\"The Mother\"<|>\"The Husband\"<|>\"The Mother expresses anxiety and eagerness as she interacts with her husband, showcasing the emotional strain caused by uncertainty.\"<|>\"marital dynamics, emotional strain\"<|>8)##\n(\"relationship\"<|>\"The Husband\"<|>\"Caroline\"<|>\"The Husband and Caroline's conversation illustrates the tension between optimism and the reality of their situation after receiving distressing news.\"<|>\"communication, emotional burden\"<|>7)##\n(\"relationship\"<|>\"Peter\"<|>\"The Children\"<|>\"Peter acts as a stabilizing force among The Children, leading them in moments of uncertainty and representing familial responsibility.\"<|>\"leadership, sibling dynamics\"<|>6)##\n(\"relationship\"<|>\"The Debt\"<|>\"The Cratchit House\"<|>\"The Debt looms over The Cratchit House, contributing to the emotional atmosphere and fears of its inhabitants during the story.\"<|>\"financial burden, atmosphere\"<|>9)##\n(\"relationship\"<|>\"Hope\"<|>\"Caroline\"<|>\"Hope influences Caroline's reactions and actions throughout the story, serving as both a motivator and a source of inner conflict.\"<|>\"emotional resilience, motivation\"<|>8)##\n(\"content_keywords\"<|>\"hope, family struggles, emotional dynamics, financial burden\")<|COMPLETE|>", "model": "gpt-4o-mini" }, - "b6d15714a948777d8db0132513bccee9": { - "return": "(\"entity\"<|>\"Scrooge\"<|>\"person\"<|>\"Scrooge is a character who experiences deep emotions and reflections on his life, including grief and regret for what he has lost.\")##\n(\"entity\"<|>\"Belle\"<|>\"person\"<|>\"Belle is Scrooge's former love whose presence evokes strong feelings of longing and sorrow in Scrooge.\")##\n(\"entity\"<|>\"Jacob Marley\"<|>\"person\"<|>\"Jacob Marley is Scrooge's deceased business partner who plays a significant role in introducing the spirits to Scrooge.\")##\n(\"entity\"<|>\"The Spirit\"<|>\"event\"<|>\"The Spirit refers to the supernatural influences that visit Scrooge, particularly the second of the Three Spirits.\")##\n(\"entity\"<|>\"Christmas\"<|>\"event\"<|>\"Christmas is depicted as a time of joy and generosity, contrasting sharply with Scrooge's past behavior and current solitude.\")##\n(\"entity\"<|>\"The Bedroom\"<|>\"geo\"<|>\"The Bedroom is the personal space of Scrooge where he undergoes significant emotional transitions and encounters the spirits.\")##\n(\"relationship\"<|>\"Scrooge\"<|>\"Belle\"<|>\"Scrooge reflects on his lost relationship with Belle, highlighting his feelings of regret and emotional pain.\" <|>\"lost love, regret\"<|>8)##\n(\"relationship\"<|>\"Scrooge\"<|>\"Jacob Marley\"<|>\"Jacob Marley is the spirit who brings forth the need for Scrooge to change his ways, impacting his character development.\"<|>\"catalyst for change, supernatural guidance\"<|>9)##\n(\"relationship\"<|>\"The Spirit\"<|>\"Scrooge\"<|>\"The Spirit represents an upcoming change in Scrooge's life, aiming to guide him towards redemption.\"<|>\"supernatural intervention, guidance\"<|>9)##\n(\"relationship\"<|>\"Christmas\"<|>\"Scrooge\"<|>\"Christmas serves as a focal point for Scrooge's emotional reflections on joy and his disconnect from societal celebrations.\"<|>\"seasonal significance, emotional reflection\"<|>7)##\n(\"relationship\"<|>\"The Bedroom\"<|>\"The Spirit\"<|>\"The Spirit visits Scrooge in his bedroom, representing a profound moment of transformation and introspection for Scrooge.\"<|>\"introspection, transformation\"<|>8)##\n(\"content_keywords\"<|>\"redemption, loss, supernatural influences, emotional transformation\")<|COMPLETE|>", + "9b676559c7ffd6e8d9eb46019f7bb76f": { + "return": "Bob Cratchit is a significant character in Charles Dickens' \"A Christmas Carol,\" serving as Scrooge's dedicated clerk and embodiment of the struggles faced by the working class. He is depicted as a humble family man, exhibiting warmth and joy at home despite his limited income. Cratchit demonstrates a sense of hope, particularly highlighted during the Christmas season, where he attempts to maintain positivity in the face of challenges.\n\nAs the father of Tiny Tim and head of the Cratchit family, Bob exemplifies deep familial love and concern, striving to care for his children amidst financial hardships. He is characterized by his kindness and emotional depth, particularly in caring for Tiny Tim's wellbeing. The Cratchit household is filled with a warm atmosphere, and Cratchit's joy and gratitude during their Christmas dinner starkly contrast with Scrooge's initial miserly demeanor.\n\nDespite his struggles, Bob Cratchit is portrayed as a voice of moderation and kindness, especially during family celebrations. His character captures the essence of duty and love, and he expresses happiness and appreciation during difficult times, showing affection for his children and a strong commitment to his family. His arrival late to work after celebrating Christmas highlights his trepidation toward Scrooge, yet it also reflects Scrooge's eventual generosity towards him, including an intention to support the Cratchit family.\n\nIn summary, Bob Cratchit is not only a devoted father and husband but also a representation of resilience and the importance of family, embodying the spirit of hope and joy amidst adversity in \"A Christmas Carol.\"", "model": "gpt-4o-mini" }, - "8d71e0c5ec953f8d4d22525f4be94532": { - "return": "(\"entity\"<|>\"Scrooge\"<|>\"person\"<|>\"Scrooge is a character who reflects on his life and interactions, particularly regarding his partner Jacob and the consequences of his past actions.\")##\n(\"entity\"<|>\"Jacob\"<|>\"person\"<|>\"Jacob is referenced as Scrooge's old partner, significant for his recent death and the impact of this event on Scrooge's reflections.\")##\n(\"entity\"<|>\"Christmas-time\"<|>\"event\"<|>\"Christmas-time serves as a backdrop for the narrative, emphasizing themes of reflection, mortality, and social interactions.\")##\n(\"entity\"<|>\"The Phantom\"<|>\"organization\"<|>\"The Phantom represents the supernatural element in Scrooge's journey of self-reflection and moral awakening.\")##\n(\"entity\"<|>\"Businessmen\"<|>\"organization\"<|>\"The businessmen are characterized as wealthy and important individuals in Scrooge's past, highlighting themes of social status and superficiality in interactions.\")##\n(\"entity\"<|>\"The Obscure Part of Town\"<|>\"geo\"<|>\"The Obscure Part of Town is a location described as having a bad reputation, symbolizing the darker aspects of society that Scrooge must confront.\")##\n(\"entity\"<|>\"The Low-Browed Shop\"<|>\"organization\"<|>\"The Low-Browed Shop is a setting that symbolizes neglect and degradation, filled with discarded items and representing societal decay.\")##\n(\"relationship\"<|>\"Scrooge\"<|>\"Jacob\"<|>\"Scrooge reflects on his past relationship with Jacob, influenced by feelings of guilt and loss after Jacob's death.\"<|>\"reflection, past relationship\"<|>8)##\n(\"relationship\"<|>\"Scrooge\"<|>\"The Phantom\"<|>\"Scrooge interacts with the Phantom, which guides him through reflections on his life and future, emphasizing his journey of change.\"<|>\"guidance, self-reflection\"<|>9)##\n(\"relationship\"<|>\"The Phantom\"<|>\"Christmas-time\"<|>\"The Phantom's visits coincide with Christmas time, a time symbolizing reflection, redemption, and moral awakening.\"<|>\"supernatural influence, time of reflection\"<|>8)##\n(\"relationship\"<|>\"Scrooge\"<|>\"Businessmen\"<|>\"Scrooge's past interactions with the businessmen are superficial, reflecting his focus on wealth and status rather than meaningful connections.\"<|>\"social interactions, superficiality\"<|>7)##\n(\"relationship\"<|>\"Scrooge\"<|>\"The Obscure Part of Town\"<|>\"Scrooge's journey leads him to the Obscure Part of Town, representing his confrontation with the darker aspects of life and society.\"<|>\"confrontation, societal reflection\"<|>9)##\n(\"relationship\"<|>\"The Low-Browed Shop\"<|>\"The Obscure Part of Town\"<|>\"The Low-Browed Shop is located in The Obscure Part of Town, symbolizing the decay and neglect found in that area.\"<|>\"symbolism, decay\"<|>6)##\n(\"content_keywords\"<|>\"reflection, redemption, societal decay, Christmas-time\")<|COMPLETE|>", + "4b427f9d0a6468eeb2d77eb421e41694": { + "return": "Tiny Tim, whose full name is Tim Cratchit, is a young boy and the youngest son of Bob Cratchit in Charles Dickens' \"A Christmas Carol.\" He is a frail child who embodies innocence and vulnerability, serving as a poignant symbol of hope and resilience. Despite his health struggles, characterized by being a cripple, Tiny Tim maintains a joyful spirit and a positive outlook on life, which brings joy to those around him and highlights the warmth of the Christmas season.\n\nTiny Tim's character serves multiple significant roles within the narrative. He represents the harsh realities of illness and poverty faced by the Cratchit family, evoking compassion and drawing attention to their struggles. His presence is central to the family's emotional state, reflecting their hopes for the future and their love for one another. Tiny Tim's plight also becomes a focal point for Ebenezer Scrooge’s transformation, as Tiny Tim symbolizes the impact of Scrooge's change of heart—ultimately illustrating the themes of generosity and the value of family.\n\nThroughout the story, Tiny Tim participates in festive celebrations, including the Christmas toast, but remains acutely aware of his family's difficulties. He is cherished by his family, particularly by his father, Bob, who often expresses profound love and concern for his well-being. Tiny Tim's role as a representation of innocence and goodness resonates throughout \"A Christmas Carol,\" leaving a lasting impression on both the characters in the story and the readers alike.", + "model": "gpt-4o-mini" + }, + "59d9eb171bdc2f6f33906a87ba51ea54": { + "return": "Christmas is a significant and festive occasion that plays a crucial role in the narrative, especially seen through the experiences of the Cratchit family and the character of Ebenezer Scrooge. It embodies themes of joy, love, generosity, and community, highlighting the importance of family togetherness and the spirit of giving. For the Cratchit family, Christmas represents a time of celebration, warmth, and gratitude, filled with merriment and social gatherings, where they come together to create cherished memories despite their modest means.\n\nIn contrast, Scrooge initially dismisses Christmas, viewing it with cynicism and referring to it as a \"humbug.\" His cold demeanor and rejection of the holiday stand in stark contrast to the joy and festive atmosphere surrounding it. Throughout the story, the holiday acts as a backdrop for his transformation, as he is confronted with his memories and reflections on joy, loneliness, and the relationships he has neglected. Christmas becomes pivotal in emphasizing the themes of redemption, generosity, and social responsibility, ultimately leading Scrooge to embrace the values he once rejected.\n\nThe holiday is depicted through scenes of communal spirit, with people engaging in festivities, celebrating with dances, and interacting joyfully in the streets. It emphasizes the positive impact of the holiday spirit on individuals and serves as a time of emotional reflection for Scrooge, marking a significant change in his character. By the end of the narrative, Christmas symbolizes a time of goodwill and transformation, as Scrooge decides to embrace the holiday's spirit of joy and giving, leaving behind his previous disdain and solitude. Overall, Christmas is central to the themes and character development within the story, highlighting the power of love, generosity, and community.", + "model": "gpt-4o-mini" + }, + "bd98cc9c05c7b7bd0c3d0422895a0500": { + "return": "Scrooge is a central character in the narrative, undergoing a profound transformation that highlights his emotional turmoil and reflective journey. Initially depicted as a miserly and cold-hearted individual, Scrooge embodies greed and displays a profound disdain for Christmas, focusing solely on his business and lacking compassion for others. He is characterized as a solitary figure, often referred to in negative terms, such as the “Ogre of the family” or as a “tight-fisted old man.” His reluctance to engage in charitable acts and his indifference towards the festive spirit of Christmas create a stark contrast to the transformation he ultimately experiences.\n\nThroughout the story, Scrooge is confronted by supernatural elements, notably the ghost of his former partner, Jacob Marley, who warns him of the consequences of his actions. This encounter sparks a series of reflections prompted by visits from three spirits, which guide him through scenes from his past, present, and future. These experiences evoke feelings of horror, agitation, and regret as he contemplates the consequences of his miserliness and the moral implications of his actions. He recalls his lonely childhood and the decisions that have shaped his pessimistic worldview, prompting deep emotional vulnerability.\n\nAs he interacts with the spirits, Scrooge witnesses both joy and hardship, particularly relating to the Cratchit family and Tiny Tim, igniting feelings of grief, longing for connection, and a recognition of his own mortality. This journey leads him to acknowledge his past mistakes and consider the impacts of his life choices on others, ultimately fostering an internal struggle between his prior skepticism and a budding capacity for empathy.\n\nBy the narrative's conclusion, Scrooge's character has undergone a significant transformation. He emerges from his experiences with a newfound joy and a commitment to generosity and compassion. He embraces the spirit of Christmas, taking steps to positively impact the lives of those around him, particularly Bob Cratchit and his family. Scrooge’s evolution from a grumpy, indifferent man to one filled with goodwill and the spirit of Christmas is central to the narrative, illustrating the themes of redemption, compassion, and the importance of community.", + "model": "gpt-4o-mini" + }, + "add8b887f3594b7b88931ad42a3ad6fa": { + "return": "Mrs. Cratchit is depicted as Bob Cratchit's supportive and industrious wife, embodying warmth and resilience amidst their financial struggles. She plays a central role in managing the household and preparing festive meals, notably the Christmas pudding, showcasing her pride in family traditions and her cooking skills. Despite feeling strong disdain for Scrooge, she passionately engages in the Christmas festivities for the sake of her family, reflecting her nurturing nature and concern for her children's well-being, particularly in regard to Tiny Tim's health. Throughout the holiday preparations, Mrs. Cratchit displays her devotion and care, striving to create a joyous atmosphere despite their limited resources. She is portrayed as both outspoken and energetic, contributing to the emotional dynamics of the family while remaining focused on their shared experiences during the Christmas celebration.", + "model": "gpt-4o-mini" + }, + "57c5e1889e1159e05b2eabaa5e57a130": { + "return": "Jacob Marley is the deceased business partner of Ebenezer Scrooge, who appears as a ghost to convey significant messages about the consequences of a life lived without compassion. He is depicted as wearing chains, which symbolize the burden of his past misdeeds and the regrets that haunt him. Marley plays a crucial role in introducing the spirits that guide Scrooge on his journey toward redemption.\n\nAs a ghost, Jacob Marley warns Scrooge about his impending fate if he continues on his selfish path, highlighting the importance of charity, kindness, and connection to humanity. Through his visitation, Marley seeks to influence Scrooge's change of heart by representing both the weight of one's past actions and the potential for transformation. His presence serves as a catalyst for Scrooge’s eventual realization of the need for change, compelling him to reflect on his life choices and the impact they have on others.", + "model": "gpt-4o-mini" + }, + "3ed3ce0022a8b1dcef7372e0b833cc7f": { + "return": "\"The Spirit\" is a multifaceted ghostly figure within the narrative, primarily guiding Ebenezer Scrooge on a transformative journey during the Christmas season. The Spirit embodies various aspects of Christmas, showcasing the themes of joy, generosity, and moral introspection. It serves as both a supernatural and emotional guide, encouraging Scrooge to witness joyful moments and the resilience of people during Christmas, thus profoundly influencing his perspective on life.\n\nThe Spirit is associated with the Ghost of Christmas Present and the Ghost of Christmas Past, symbolizing the ideas of reflection, memory, and moral guidance. It prompts Scrooge to engage deeply with his past, urging him to recognize the consequences of his actions and the significance of compassion and community in life. Furthermore, The Spirit acts as a guiding force that helps Scrooge understand the value of happiness and the importance of generosity, particularly during the festive season.\n\nThroughout the narrative, The Spirit's presence significantly alters the mood of Christmas, promoting an atmosphere of cheer and mirth as it guides Scrooge through various scenarios. It invokes critical reflections on existential queries, ultimately playing a vital role in Scrooge's transformation, pushing him towards meaningful change and a re-evaluation of his life choices. In essence, The Spirit encapsulates the collective essence of the Christmas spirits, representing a powerful influence over personal growth and transformation.", + "model": "gpt-4o-mini" + }, + "4deffd8dfd38f5cbfa1ad29b30f8c2e7": { + "return": "Bob Cratchit is a significant character in Charles Dickens' \"A Christmas Carol,\" serving as Ebenezer Scrooge's dedicated clerk and an embodiment of the struggles faced by the working class. He is depicted as a struggling yet loving family man, whose household is blessed by the Spirit of Christmas. Despite his low wages, Cratchit exhibits warmth and joy at home, particularly during the Christmas season, where he strives to maintain a positive atmosphere amidst financial hardships.\n\nAs the father of Tiny Tim and head of the Cratchit family, Bob exemplifies deep familial love and concern. He is characterized by his kindness and emotional depth, showing dedication to caring for his children and addressing Tiny Tim's well-being. Bob is a mild-mannered character who expresses happiness and appreciation during family celebrations, capturing the essence of duty and love.\n\nCratchit's arrival late to work after Christmas highlights his trepidation toward Scrooge, yet it also reflects Scrooge's newfound generosity towards him. This generosity serves as a stark contrast to Cratchit's warm and positive demeanor, which remains consistent despite his challenges. The Cratchit household is filled with a warm atmosphere, where Cratchit's joy during their Christmas dinner stands in contrast to Scrooge's initial miserly attitude.\n\nIn summary, Bob Cratchit is not only a devoted father and husband but also a representation of resilience, hope, and the importance of family. He embodies the spirit of joy amidst adversity, making him a compelling and heartwarming character within the narrative of \"A Christmas Carol.\"", + "model": "gpt-4o-mini" + }, + "e8dfb51c975f7be9e3123d191be1780c": { + "return": "\"The Ghost\" refers to a spectral manifestation of Jacob Marley, who appears to communicate a crucial message to Ebenezer Scrooge regarding the spiritual consequences of his life choices. This supernatural entity serves multiple roles, including guiding Scrooge through reflections on his past and evoking feelings of realization and remorse about his behavior. The Ghost represents a crucial figure in Scrooge's journey toward redemption, highlighting the importance of human virtue and kindness, and warning him about the dire repercussions of neglecting these values throughout his life.\n\nDescribed as a strange figure possessing qualities both of a child and an old man, The Ghost embodies the supernatural intervention in Scrooge's life. It facilitates his transformation by revealing lessons about kindness, death, and the emotional repercussions of one’s actions. The Ghost shows Scrooge various scenes from his past and the joys of family, emphasizing the significance of Christmas and serving as a catalyst for self-reflection.\n\nAdditionally, The Ghost instills a sense of dread in Scrooge while symbolizing the theme of redemption. This spectral figure conveys an important message regarding the impending visits from three spirits and helps Scrooge confront and come to terms with his past. Overall, The Ghost encapsulates themes of change, redemption, and moral lessons, acting as a guiding presence that ultimately influences Scrooge's emotional state and paves the way for his ultimate redemption.", + "model": "gpt-4o-mini" + }, + "59a8f621f87e84f74cfe9e6d613bf489": { + "return": "Tiny Tim, whose full name is Tim Cratchit, is a significant character in Charles Dickens' \"A Christmas Carol,\" serving as the youngest son of Bob Cratchit. He is depicted as a frail child who embodies innocence, vulnerability, and hope, symbolizing resilience in the face of adversity. Despite his struggles with health—characterized by being a cripple—Tiny Tim maintains a joyful spirit and a positive attitude that brings joy to those around him.\n\nTiny Tim's character plays multiple essential roles within the narrative. He serves as a poignant reminder of the harsh realities of illness and poverty experienced by the Cratchit family, highlighting their struggles and evoking compassion from others, including Ebenezer Scrooge. His well-being is central to the family's emotional state, embodying their hopes for the future and the love that binds them together. Tiny Tim's presence is particularly impactful for Scrooge, illustrating how transformation and generosity can influence lives profoundly.\n\nIn addition to his role within the Cratchit family, Tiny Tim participates in festive celebrations, such as the Christmas toast, but remains acutely aware of his family's hardships. Cherished by his family, especially by his father, Bob Cratchit, Tiny Tim is often a focal point of love and concern, reinforcing the themes of family and togetherness. He represents innocence and goodness, leaving a lasting impression on both the characters within the story and the readers, ultimately embodying the spirit of Christmas and the possibility of hope and renewal.", + "model": "gpt-4o-mini" + }, + "815211ca6ec39c366a42a5e2c3c070a4": { + "return": "Christmas is a significant and festive season that embodies themes of joy, love, generosity, and community, playing a crucial role in the narrative, particularly through the experiences of the Cratchit family and the character of Ebenezer Scrooge. It is depicted as a time for family togetherness, celebration, and emotional reflection. During this holiday, the Cratchit family experiences warmth, gratitude, and merriment, creating cherished memories despite their modest circumstances.\n\nIn stark contrast, Scrooge initially approaches Christmas with cynicism, dismissively referring to it as a \"humbug\" and rejecting the joy and goodwill that the season represents. His cold demeanor and disdain for the holiday stand in stark opposition to the spirit of generosity and community that prevails around him. Throughout the story, Christmas serves as the backdrop for Scrooge’s transformation, forcing him to confront his past and the relationships he has neglected, which becomes a critical aspect of his character development.\n\nThe narrative highlights Christmas as a time of joy and giving, emphasizing the importance of social responsibility and emotional connections within a community. It showcases joyful scenes of people celebrating, dancing, and engaging in festive activities, which starkly contrast with Scrooge's earlier solitude and disdain. By the end, Christmas symbolizes redemption and transformation for Scrooge, as he ultimately decides to embrace the holiday's spirit of goodwill, leaving behind his previous bitterness. Consequently, Christmas emerges as a pivotal element that reinforces the story's exploration of redemption, generosity, and the transformative power of love and community.", + "model": "gpt-4o-mini" + }, + "6dffff0a09e2e507bceeff9f01b83775": { + "return": "Scrooge is a central character in the narrative who undergoes a profound transformation, highlighted by his emotional turmoil and reflective journey. Initially depicted as a miserly, cold-hearted individual characterized by greed and a disdain for Christmas, Scrooge embodies the traits of a solitary figure, often referred to negatively as the “Ogre of the family” or a “tight-fisted old man.” His lack of compassion for others and reluctance to engage in charitable acts create a stark contrast to the growth he eventually experiences.\n\nThe turning point in Scrooge's journey begins with a haunting visit from the ghost of his former business partner, Jacob Marley, who warns him of the dire consequences of his actions. This encounter sets off a series of supernatural visits from three spirits that guide Scrooge through his past, present, and future. Through these reflections, Scrooge experiences horror, agitation, and regret as he contemplates the implications of his miserliness, recalling lonely moments from his childhood and decisions that fostered his pessimistic outlook on life.\n\nAs he interacts with the spirits, Scrooge witnesses both joy and hardship, particularly in relation to the Cratchit family and Tiny Tim, which ignites feelings of grief and a longing for connection. This emotional journey leads him to recognize his mortality and the impact of his life choices on others, sparking an internal struggle between his prior skepticism and a burgeoning capacity for empathy.\n\nBy the conclusion of the story, Scrooge has experienced a significant transformation. Emerging from his encounters with a newfound sense of joy and a commitment to kindness, he embraces the spirit of Christmas, striving to positively influence the lives of those around him, especially Bob Cratchit and his family. Scrooge’s evolution from a grumpy, indifferent man to one filled with goodwill encapsulates the narrative's themes of redemption, compassion, and the importance of community, demonstrating that change is possible and that love and generosity can triumph over isolation and greed.", + "model": "gpt-4o-mini" + }, + "efe2e79f30a5c3dd8e37940721610fe1": { + "return": "Fred is Ebenezer Scrooge's lively nephew, who embodies the spirit of Christmas and serves as a striking contrast to Scrooge's misanthropic nature. He represents familial love and joy, often inviting Scrooge to family gatherings and emphasizing the importance of familial connections during the holiday season. Fred expresses admiration for his uncle and raises a toast in his honor at Christmas gatherings, showcasing his warmth and festive spirit. His character highlights the warmth of family that Scrooge initially rejects, and he is depicted as a friendly figure who is surprised and pleased by Scrooge's unexpected visits. Overall, Fred exemplifies the joy and unity of Christmas, passionately inviting Scrooge to embrace the happiness associated with the holiday and family.", + "model": "gpt-4o-mini" + }, + "e28347f5e0a769b02f98c737fd20b023": { + "return": "Fezziwig is a character renowned for his role as a joyful and jovial employer who hosts domestic balls, creating an atmosphere filled with happiness and merriment for his participants. He is depicted as a kind-hearted figure who organizes lively Christmas festivities for his employees, exemplifying kindness and generosity. Fezziwig plays a significant role in the memories of Ebenezer Scrooge, being portrayed as his former employer who embodies the true spirit of Christmas.\n\nHe is often seen dancing with his wife, Mrs. Fezziwig, which further illustrates his cheerful nature and the festive spirit surrounding the celebrations. As the owner of a business where these vibrant festivities take place, Fezziwig is celebrated for his ability to create a lively and joyful environment, leaving a lasting impression on those who encounter him during the festive seasons. His portrayal encapsulates the essence of joy, generosity, and the festive spirit, making him a beloved character in the narrative of Scrooge's past.", + "model": "gpt-4o-mini" + }, + "44b4969e464de1b68cd7fffc2df10107": { + "return": "Marley is Scrooge's deceased business partner, whose presence looms over the narrative of the story, symbolizing the dire consequences of a life lived without compassion and care for others. His death serves as a significant event that sets the tone for the plot and reflects the overarching themes of regret and the supernatural.\n\nMarley passed away seven years prior to the events depicted, making his spectral appearance even more impactful. Despite being a character who is only mentioned throughout much of the story, his influence on Scrooge is profound, as reflections and memories of Marley shape Scrooge's perspective on life and relationships. This ghostly figure is depicted distinctly with a pigtail, waistcoat, tights, and boots, making him central to Scrooge's haunting experience.\n\nOverall, Marley represents the weight of past actions and the importance of empathy, acting as a harbinger of transformation for Scrooge. His ghostly manifestation evokes both fear and introspection, ultimately contributing to the moral lessons embedded in the tale.", + "model": "gpt-4o-mini" + }, + "3a3eb8f6a4024ed5f54a09bece900570": { + "return": "\"The Spirit\" is a multifaceted supernatural entity guiding Ebenezer Scrooge through a transformative journey during the Christmas season. It is portrayed as a ghostly figure, encompassing the Ghost of Christmas Present and the Ghost of Christmas Past, and serves to illuminate various themes including joy, generosity, and moral introspection. Throughout the narrative, The Spirit influences Scrooge's emotional journey, encouraging him to reflect on his past and understand the consequences of his actions.\n\nAs a guiding force, The Spirit prompts Scrooge to engage deeply with his memories, helping him realize the value of happiness and the importance of compassion and community in life. It plays a critical role in shaping the atmosphere of Christmas, promoting an environment filled with cheer and mirth as it leads Scrooge through moments of reflection and revelry. \n\nBy embodying the collective essence of the Christmas spirits, The Spirit acts as a moral compass for Scrooge, pushing him towards meaningful change and a reevaluation of his life choices. Ultimately, The Spirit serves as both a supernatural guide and an emotional influence, signifying the profound impact of reflection, memory, and personal transformation during the holiday season.", + "model": "gpt-4o-mini" + }, + "cf82d8a7e6a0ae8cf73878e2a910fef0": { + "return": "Tiny Tim, whose real name is Tim Cratchit, is a significant character in Charles Dickens' \"A Christmas Carol\" and is portrayed as Bob Cratchit's youngest son. He symbolizes hope, innocence, and resilience amidst the hardships faced by the Cratchit family, who struggle with poverty and illness. Described as a frail child and a cripple, Tiny Tim maintains an optimistic outlook and a joyful spirit, bringing joy to those around him and embodying the essence of goodness.\n\nTiny Tim's well-being is pivotal to the emotional state of his family, as he represents their hopes for the future and the love that unites them. His presence serves as a poignant reminder of the challenges posed by illness and poverty, evoking compassion from others, particularly Ebenezer Scrooge. Through Tiny Tim, the narrative conveys themes of family, generosity, and the potential for transformation, illustrating how acts of kindness can profoundly impact lives.\n\nDespite being acutely aware of his family's hardships, Tiny Tim participates in festive celebrations, such as the Christmas toast, showcasing his ability to embody the spirit of Christmas. Cherished by his family, particularly by his father, Bob Cratchit, Tiny Tim is often at the center of love and concern, reinforcing his role as a symbol of innocence and hope. Overall, Tiny Tim leaves a lasting impression on both other characters and readers, encapsulating the themes of hope and renewal that resonate throughout the story.", "model": "gpt-4o-mini" }, - "e7695338ca043e0be110d22ebc4020b7": { - "return": "(\"entity\"<|>\"Internal Revenue Service\"<|>\"organization\"<|>\"The Internal Revenue Service (IRS) is the U.S. government agency responsible for tax collection and tax law enforcement, granting tax-exempt status to organizations like the Project Gutenberg Literary Archive Foundation.\")##\n(\"entity\"<|>\"Mississippi\"<|>\"geo\"<|>\"Mississippi is the state under whose laws the Project Gutenberg Literary Archive Foundation is organized, relevant to its legal status.\")##\n(\"entity\"<|>\"Contributions\"<|>\"event\"<|>\"Contributions refer to the donations made to the Project Gutenberg Literary Archive Foundation, vital for its operational funding and tax-exempt status.\")##\n(\"entity\"<|>\"Donations\"<|>\"event\"<|>\"Donations represent the financial support provided to the Project Gutenberg Literary Archive Foundation, essential for carrying out its mission.\")##\n(\"entity\"<|>\"U.S. Federal Laws\"<|>\"concept\"<|>\"U.S. federal laws set the framework and conditions under which non-profit organizations like the Project Gutenberg Literary Archive Foundation operate and maintain tax-exempt status.\")##\n(\"entity\"<|>\"Website\"<|>\"concept\"<|>\"The Project Gutenberg website serves as the central platform for accessing eBooks, making donations, and providing information about the Foundation.\")##\n(\"relationship\"<|>\"Project Gutenberg Literary Archive Foundation\"<|>\"Internal Revenue Service\"<|>\"The Foundation's tax-exempt status is granted by the IRS, creating a regulatory relationship.\"<|>\"tax exemption, regulatory\"<|>8)##\n(\"relationship\"<|>\"Project Gutenberg Literary Archive Foundation\"<|>\"Mississippi\"<|>\"The Foundation is organized under the laws of Mississippi, establishing its legal framework.\"<|>\"legal framework, organizational base\"<|>7)##\n(\"relationship\"<|>\"Project Gutenberg Literary Archive Foundation\"<|>\"Contributions\"<|>\"Contributions are essential for the operational viability of the Foundation, directly supporting its mission.\"<|>\"funding, operational sustainability\"<|>9)##\n(\"relationship\"<|>\"Project Gutenberg Literary Archive Foundation\"<|>\"Donations\"<|>\"Donations are critical financial support for the Foundation, enabling its initiatives and projects.\"<|>\"financial support, project funding\"<|>9)##\n(\"relationship\"<|>\"Project Gutenberg Literary Archive Foundation\"<|>\"Website\"<|>\"The Foundation uses its website to facilitate donations and disseminate information about its services and eBooks.\"<|>\"information dissemination, online presence\"<|>8)##\n(\"content_keywords\"<|>\"non-profit, tax exemption, contributions, financial support, online access\")<|COMPLETE|>", + "d34942c45d6b2e409bbd81368ef59b2f": { + "return": "Bob Cratchit is a significant character in Charles Dickens' \"A Christmas Carol,\" serving as Ebenezer Scrooge's dedicated clerk and an embodiment of the struggles faced by the working class. He is depicted as a struggling yet loving family man, whose household is blessed by the Spirit of Christmas. Despite his low wages, Cratchit exhibits warmth and joy at home, particularly during the festive season, striving to maintain a positive atmosphere amidst financial hardships. \n\nAs the father of Tiny Tim and head of the Cratchit family, Bob exemplifies deep familial love and concern, demonstrating kindness and emotional depth while caring for his children. He is portrayed as a mild-mannered character who expresses happiness and appreciation during family celebrations, capturing the essence of duty and love. Bob's affection for his children and his consistent concern for Tiny Tim's well-being highlight his dedication to family life.\n\nCratchit's arrival late to work after Christmas illustrates his trepidation about Scrooge, though it also signals Scrooge's newfound generosity towards him. This contrast underscores Cratchit's warm and positive demeanor, which remains steadfast despite his challenges. The Cratchit household radiates warmth, with Bob’s joy during their Christmas dinner sharply contrasting Scrooge's initial miserly attitude.\n\nIn summary, Bob Cratchit is not only a devoted father and husband but also a representation of resilience, hope, and the importance of family. He embodies the spirit of joy amidst adversity, making him a compelling and heartwarming character within the narrative of \"A Christmas Carol.\"", "model": "gpt-4o-mini" }, - "9d0523eeca12adfe2cad7e11da5946e7": { - "return": "(\"entity\"<|>\"U.S. Copyright Law\"<|>\"concept\"<|>\"U.S. Copyright Law refers to the legal framework governing copyright protection in the United States, which impacts the distribution and usage of literary works and other creative content.\")##\n(\"entity\"<|>\"Electronic Work\"<|>\"concept\"<|>\"An Electronic Work refers to the digital version of text or literature that is provided by Project Gutenberg, which may be freely used under certain conditions.\")##\n(\"entity\"<|>\"Users\"<|>\"person\"<|>\"Users refer to individuals accessing, viewing, copying, or distributing Project Gutenberg works, subject to the terms of the Project Gutenberg License.\")##\n(\"entity\"<|>\"Royalty Fees\"<|>\"concept\"<|>\"Royalty Fees are payments due to the owner of the Project Gutenberg trademark based on the profits derived from the distribution or use of Project Gutenberg works.\")##\n(\"entity\"<|>\"Permission\"<|>\"concept\"<|>\"Permission is the consent required to use or distribute Project Gutenberg works under terms that differ from the established Project Gutenberg License.\")##\n(\"relationship\"<|>\"Users\"<|>\"U.S. Copyright Law\"<|>\"Users must check U.S. Copyright Law to ensure that their usage of Project Gutenberg works complies with legal requirements, especially when outside the United States.\"<|>\"compliance, legal requirements\"<|>6)##\n(\"relationship\"<|>\"Project Gutenberg License\"<|>\"Royalty Fees\"<|>\"The Project Gutenberg License stipulates the conditions under which royalty fees must be paid when using Project Gutenberg works for profit.\"<|>\"financial obligations, licensing terms\"<|>7)##\n(\"relationship\"<|>\"Users\"<|>\"Electronic Work\"<|>\"Users interact with Electronic Works provided by Project Gutenberg according to the terms outlined in the Project Gutenberg License.\"<|>\"access, digital interactions\"<|>8)##\n(\"relationship\"<|>\"Permission\"<|>\"Project Gutenberg License\"<|>\"Permission must be obtained if an individual wishes to use Project Gutenberg works under different terms than those specified in the Project Gutenberg License.\"<|>\"usage terms, licensing\"<|>9)##\n(\"content_keywords\"<|>\"copyright compliance, user access, distribution rights, digital works\")<|COMPLETE|>", + "b3aedce96ee5cb39cf093e445c918444": { + "return": "Christmas is a significant and festive season that embodies themes of joy, love, generosity, and community. It plays a crucial role in the narrative, particularly through the experiences of the Cratchit family and the character of Ebenezer Scrooge. The holiday is depicted as a time for family togetherness, celebration, and emotional reflection. During this season, the Cratchit family experiences warmth, gratitude, and merriment, creating cherished memories despite their modest circumstances.\n\nIn stark contrast, Scrooge initially approaches Christmas with cynicism, dismissively referring to it as a \"humbug\" and rejecting the joy and goodwill that the season represents. His cold demeanor and disdain for the holiday stand in opposition to the spirit of generosity and community that prevails around him. The narrative highlights Christmas as a time of joy and giving, emphasizing the importance of social responsibility and emotional connections within a community.\n\nThroughout the story, Christmas serves as the backdrop for Scrooge’s transformation, forcing him to confront his past and the relationships he has neglected, which becomes a critical aspect of his character development. The holiday is also referenced as one that Scrooge's Nephew is passionate about, further contrasting with Scrooge's cynical views.\n\nAs the story unfolds, Christmas symbolizes redemption and change for Scrooge, who ultimately decides to embrace the holiday's spirit of goodwill and abandon his previous bitterness. Christmas emerges as a pivotal element that reinforces the story's exploration of redemption, generosity, and the transformative power of love and community. Joyful scenes of people celebrating, dancing, and engaging in festive activities starkly contrast with Scrooge's earlier solitude and disdain, highlighting the pervasive influence of this festive occasion on the thoughts and behaviors of all characters involved.", "model": "gpt-4o-mini" }, - "9028cc06f39a83b4843e700e601a1553": { - "return": "(\"entity\"<|>\"Marley\"<|>\"person\"<|>\"Marley is a character who, although only mentioned, has had a significant influence on Scrooge's life and perspective, representing his past connections.\")##\n(\"entity\"<|>\"Turkeys\"<|>\"organization\"<|>\"Turkeys are described as part of a lavish spread that symbolizes the abundance and joy of the Christmas season.\")##\n(\"entity\"<|>\"Geese\"<|>\"organization\"<|>\"Geese are included in the festive feast, representing the bounty and celebration associated with Christmas.\")##\n(\"entity\"<|>\"Game\"<|>\"organization\"<|>\"Game refers to meat served during the Christmas season, signifying abundance and celebration.\")##\n(\"entity\"<|>\"Brawn\"<|>\"organization\"<|>\"Brawn is a type of meat included in the festive gathering, representing the richness of the Christmas feast.\")##\n(\"entity\"<|>\"Sucking-pigs\"<|>\"organization\"<|>\"Sucking-pigs represent a traditional dish during Christmas, showcasing the festive abundance.\")##\n(\"entity\"<|>\"Sausages\"<|>\"organization\"<|>\"Sausages contribute to the rich variety of foods present at the celebration, reflecting festive abundance.\")##\n(\"entity\"<|>\"Mince-pies\"<|>\"organization\"<|>\"Mince-pies are a traditional Christmas dessert, symbolizing the sweet and festive aspects of the holiday season.\")##\n(\"entity\"<|>\"Plum-puddings\"<|>\"organization\"<|>\"Plum-puddings are another festive dessert, symbolizing celebration and joy during Christmas.\")##\n(\"entity\"<|>\"Barrels of oysters\"<|>\"organization\"<|>\"Barrels of oysters symbolize luxury and indulgence in the holiday feast.\")##\n(\"entity\"<|>\"Red-hot chestnuts\"<|> \"organization\"<|>\"Red-hot chestnuts are a warm snack commonly enjoyed during the Christmas season, adding to the festive atmosphere.\")##\n(\"entity\"<|>\"Cherry-cheeked apples\"<|>\"organization\"<|>\"Cherry-cheeked apples add to the feast's festive decoration and represent the sweetness of the season.\")##\n(\"entity\"<|>\"Juicy oranges\"<|>\"organization\"<|>\"Juicy oranges symbolize freshness and abundance, often associated with Christmas festivities.\")##\n(\"entity\"<|>\"Luscious pears\"<|>\"organization\"<|>\"Luscious pears contribute to the variety of festive foods, symbolizing richness during the holiday season.\")##\n(\"entity\"<|>\"Immense twelfth-cakes\"<|>\"organization\"<|>\"Immense twelfth-cakes represent a traditional centerpiece of the Christmas feast, symbolizing celebration.\")##\n(\"entity\"<|>\"Seething bowls of punch\"<|>\"organization\"<|>\"Seething bowls of punch are indicative of the festive beverages enjoyed during Christmas, adding to the celebratory atmosphere.\")##\n(\"entity\"<|>\"Spirit\"<|>\"event\"<|>\"The Spirit represents the embodiment of the Christmas present, personifying the themes of generosity and merriment.\")##\n(\"relationship\"<|>\"Scrooge\"<|>\"Marley\"<|>\"Marley’s influence and past relationship with Scrooge is indicated, suggesting a connection that impacts Scrooge's character growth.\"<|>\"past influence, personal history\"<|>6)##\n(\"relationship\"<|>\"Ghost of Christmas Present\"<|>\"Turkeys\"<|>\"The Ghost highlights the presence of Turkeys at the feast, emphasizing the spirit of generosity during Christmas.\"<|>\"feasting, abundance\"<|>8)##\n(\"relationship\"<|>\"Ghost of Christmas Present\"<|>\"Geese\"<|>\"The inclusion of Geese in the holiday spread reinforces the theme of abundance and joy during Christmas.\"<|>\"celebration, abundance\"<|>8)##\n(\"relationship\"<|>\"Ghost of Christmas Present\"<|>\"Game\"<|>\"The Ghost showcases Game as part of the feast, emphasizing the wealth of food associated with Christmas.\"<|>\"feasting, abundance\"<|>8)##\n(\"relationship\"<|>\"Ghost of Christmas Present\"<|>\"Brawn\"<|>\"The presence of Brawn at the feast illustrates the richness and variety of the holiday season.\"<|>\"celebration, abundance\"<|>7)##\n(\"relationship\"<|>\"Ghost of Christmas Present\"<|>\"Sucking-pigs\"<|>\"Sucking-pigs represent the extravagant and joyous food available during the Christmas season.\"<|>\"feasting, celebration\"<|>8)##\n(\"relationship\"<|>\"Ghost of Christmas Present\"<|>\"Sausages\"<|>\"Sausages contribute to the lavish spread, symbolizing the abundance of the Christmas feast.\"<|>\"celebration, abundance\"<|>7)##\n(\"relationship\"<|>\"Ghost of Christmas Present\"<|>\"Mince-pies\"<|>\"Mince-pies are presented by the Ghost, symbolizing the sweetness and joy of Christmas feasting.\"<|>\"festive spirit, sweet traditions\"<|>8)##\n(\"relationship\"<|>\"Ghost of Christmas Present\"<|>\"Plum-puddings\"<|>\"Plum-puddings highlight traditional festive desserts, showcasing the richness of the holiday spirit.\"<|>\"celebration, sweetness\"<|>8)##\n(\"relationship\"<|>\"Ghost of Christmas Present\"<|>\"Barrels of oysters\"<|>\"Barrels of oysters symbolize indulgence and luxury, enhancing the festive atmosphere presented by the Spirit.\"<|>\"luxury, feasting\"<|>8)##\n(\"relationship\"<|>\"Ghost of Christmas Present\"<|>\"Red-hot chestnuts\"<|>\"Red-hot chestnuts are part of traditional Christmas snacks, enhancing the celebratory mood of the feast.\"<|>\"warmth, festive atmosphere\"<|>7)##\n(\"relationship\"<|>\"Ghost of Christmas Present\"<|>\"Cherry-cheeked apples\"<|>\"Cherry-cheeked apples add to the feast's vibrancy, contributing to the festive decorations and spirit.\"<|>\"festive spirit, abundance\"<|>7)##\n(\"relationship\"<|>\"Ghost of Christmas Present\"<|>\"Juicy oranges\"<|>\"Juicy oranges symbolize freshness in the extravagant Christmas spread demonstrated by the Ghost.\"<|>\"celebration, freshness\"<|>7)##\n(\"relationship\"<|>\"Ghost of Christmas Present\"<|>\"Luscious pears\"<|>\"Luscious pears contribute to the rich variety of fruits in the festive spread, symbolizing abundance.\"<|>\"feasting, abundance\"<|>7)##\n(\"relationship\"<|>\"Ghost of Christmas Present\"<|>\"Immense twelfth-cakes\"<|>\"Immense twelfth-cakes represent the grandeur of Christmas celebrations that the Ghost highlights.\"<|>\"celebration, festivity\"<|>9)##\n(\"relationship\"<|>\"Ghost of Christmas Present\"<|>\"Seething bowls of punch\"<|>\"Seething bowls of punch contribute to the warm and inviting atmosphere of the Christmas feast showcased by the Spirit.\"<|>\"beverage, festive atmosphere\"<|>8)##\n(\"relationship\"<|>\"Ghost of Christmas Present\"<|>\"Spirit\"<|>\"The Ghost embodies the essence of Christmas present, revealing the themes of joy and abundance to Scrooge.\"<|>\"mentoring, generosity\"<|>10)##\n<|COMPLETE|>", + "9abfb7726432aeb32d6e7505c94f41c5": { + "return": "The Ghost is a crucial supernatural being in the narrative that interacts with Ebenezer Scrooge, guiding him through a transformative journey. Described as a strange figure exhibiting qualities of both a child and an old man, The Ghost embodies the supernatural intervention in Scrooge's life, serving as a catalyst for self-reflection and moral realization. This spectral manifestation, identified as the apparition of Jacob Marley, instills dread in Scrooge while simultaneously delivering a critical message about the repercussions of his choices and the need for change.\n\nThroughout his encounters with The Ghost, Scrooge is shown various scenes from his past, which evoke deep emotions and highlight the joys of family and the significance of Christmas. The Ghost emphasizes themes of redemption, kindness, and the emotional consequences of one's actions, urging Scrooge to confront his past and reconsider his life choices. This supervision reveals lessons about the importance of human virtue and the need for compassion towards others.\n\nUltimately, The Ghost acts as a guiding presence, influencing Scrooge's emotional state and facilitating his journey toward redemption. By confronting his past and acknowledging the impending visits from three spirits, Scrooge begins to understand the value of kindness and the dire consequences of neglecting these moral values throughout his life. In summary, The Ghost serves as a key figure in Scrooge's transformation, encapsulating the overarching themes of change, redemption, and moral lessons.", "model": "gpt-4o-mini" }, - "90bdac63539b82902ce063b858cf465d": { - "return": "(\"entity\"<|>\"The Father\"<|>\"person\"<|>\"The Father is a character who arrives home with Christmas presents, symbolizing familial joy and festive spirit.\")##\n(\"entity\"<|>\"The Children\"<|>\"person\"<|>\"The Children refer to the group of young individuals filled with wonder and delight during the Christmas festivities.\")##\n(\"entity\"<|>\"The Porter\"<|>\"person\"<|>\"The Porter is a character who becomes the target of playful affection from the children, showcasing innocence and chaos during celebrations.\")##\n(\"entity\"<|>\"The House\"<|>\"geo\"<|>\"The House is the setting for the Christmas celebration and interactions among the characters, embodying warmth and family togetherness.\")##\n(\"entity\"<|>\"The Mother\"<|>\"person\"<|>\"The Mother is a character associated with the family dynamics during the Christmas scene, though her actions are not explicitly detailed.\")##\n(\"entity\"<|>\"The Doll's Frying Pan\"<|>\"event\"<|>\"The Doll's Frying Pan is part of a humorous incident involving the baby, which reflects the playful and chaotic ambiance of childhood.\")##\n(\"entity\"<|>\"The Ghost\"<|>\"event\"<|>\"The Ghost refers specifically to the supernatural presence guiding Scrooge through his reflections and past experiences.\")##\n(\"relationship\"<|>\"The Father\"<|>\"The Children\"<|>\"The Father engages with the children, highlighting familial bonds and the excitement of Christmas celebrations.\"<|>\"familial joy, celebration\"<|>8)##\n(\"relationship\"<|>\"The Porter\"<|>\"The Children\"<|>\"The Children playfully interact with the Porter, creating a scene of joyous chaos and affection.\"<|>\"playfulness, joy\"<|>9)##\n(\"relationship\"<|>\"The House\"<|>\"The Children\"<|>\"The House serves as the setting for the children's joyous activities and emotional expressions during the Christmas event.\"<|>\"setting, celebration\"<|>7)##\n(\"relationship\"<|>\"The Mother\"<|>\"The Father\"<|>\"The Mother and Father are depicted together, emphasizing family dynamics during the festive occasion.\"<|>\"family dynamics, togetherness\"<|>6)##\n(\"relationship\"<|>\"Scrooge\"<|>\"The Ghost\"<|>\"Scrooge's engagement with The Ghost prompts a significant emotional and psychological transformation as he confronts his past.\"<|>\"self-reflection, transformation\"<|>9)##\n(\"relationship\"<|>\"The Ghost\"<|>\"The Spirit\"<|>\"The Ghost acts as a precursor to The Spirit, both influencing Scrooge's journey of enlightenment and redemption.\"<|>\"supernatural influence, guidance\"<|>8)##\n(\"content_keywords\"<|>\"family dynamics, Christmas celebration, children's joy, supernatural guidance\")<|COMPLETE|>", + "95271b66695b07bc0cb726ac6c085621": { + "return": "Scrooge is a central character in the narrative, whose journey encapsulates profound emotional turmoil and transformation. Initially depicted as a miserly, cold-hearted individual characterized by greed and a disdain for Christmas, Scrooge is often referred to negatively as the “Ogre of the family” or a “tight-fisted old man.” His lack of compassion for others and reluctance to engage in charitable acts highlight his solitary nature and indifference to the festive spirit.\n\nThe turning point in Scrooge's journey begins with a haunting visit from the ghost of his former business partner, Jacob Marley. This encounter warns him of the dire consequences of his actions and sets off a series of supernatural visits from three spirits that guide Scrooge through his past, present, and future. As he reflects on his life during these encounters, he experiences horror, agitation, and regret, particularly as he contemplates the implications of his miserliness and recalls lonely moments from his childhood.\n\nThrough interactions with the spirits, Scrooge witnesses both joy and sorrow, particularly in his observations of the Cratchit family and Tiny Tim. These reflections ignite feelings of grief and a longing for connection, prompting Scrooge to recognize his mortality and the far-reaching impact of his life choices on others. This emotional struggle fosters a conflict between his prior skepticism and a burgeoning capacity for empathy.\n\nUltimately, by the conclusion of the story, Scrooge undergoes a significant transformation. Emerging from his encounters with a newfound sense of joy and commitment to kindness, he embraces the spirit of Christmas and strives to positively influence the lives of those around him, especially Bob Cratchit and his family. His evolution from a grumpy, indifferent man to one filled with goodwill encapsulates the narrative's themes of redemption, compassion, and community, demonstrating that change is not only possible but that love and generosity can triumph over isolation and greed.", "model": "gpt-4o-mini" }, - "e6e2db88f809aa18ddd99f5536d1412d": { - "return": "(\"entity\"<|>\"Christmas\"<|>\"event\"<|>\"Christmas is a festive time celebrated by the Cratchit family, symbolizing joy, family togetherness, and generosity.\")##\n(\"entity\"<|>\"Ghost\"<|>\"person\"<|>\"The Ghost is a supernatural entity that provides guidance and reflection on Scrooge's past, representing moral and societal themes.\")##\n(\"entity\"<|>\"Cratchit Dinner\"<|>\"event\"<|>\"The Cratchit Dinner is a gathering of the Cratchit family for their Christmas feast, embodying tradition and familial love.\")##\n(\"entity\"<|>\"Sage and Onion\"<|>\"technology\"<|>\"Sage and Onion is an ingredient used in the Cratchit family's Christmas dinner, symbolizing traditional cooking and festive meals.\")##\n(\"entity\"<|>\"Chimney Corner\"<|>\"geo\"<|>\"The Chimney Corner refers to a specific location in the Cratchit household associated with warmth and family gatherings during the holiday season.\")##\n(\"entity\"<|>\"Surplus Population\"<|>\"concept\"<|>\"Surplus Population is a concept referenced in Scrooge's reflection on societal values and the consequences of neglect, particularly concerning the vulnerable.\")##\n(\"entity\"<|>\"Feast\"<|>\"event\"<|>\"The Feast refers to the Christmas celebration involving food and family, symbolizing gratitude and festive traditions.\")##\n(\"entity\"<|>\"Handle of Knife\"<|>\"object\"<|>\"The Handle of Knife used by Tiny Tim during Christmas dinner signifies the child's involvement and excitement in the festive celebrations.\")##\n(\"entity\"<|>\"Plates\"<|>\"object\"<|>\"The Plates represent the meal served and the act of sharing food, highlighting the importance of gathering around the table as a family.\")##\n(\"entity\"<|>\"Hearth\"<|>\"geo\"<|>\"The Hearth represents the heart of the home where the family gathers, symbolizing warmth, comfort, and family ties.\")##\n(\"entity\"<|>\"Apple Sauce\"<|>\"object\"<|>\"Apple Sauce is a dish served with the Cratchit family's Christmas dinner, contributing to the festive meal.\")##\n(\"entity\"<|>\"Mashed Potatoes\"<|>\"object\"<|>\"Mashed Potatoes are another dish served during the Cratchit family's Christmas dinner, showcasing the simplicity and warmth of their celebration.\")## \n(\"content_keywords\"<|>\"family tradition, holiday celebration, social commentary, compassion for the needy\")<|COMPLETE|>", + "37d40959756e2d80647ca38e1495c668": { + "return": "Peter Cratchit is the eldest son of Bob and Mrs. Cratchit, characterized by his youthful innocence and enthusiasm. He actively participates in the festive meal preparation, expressing excitement about dressing up and contributing to the family's Christmas celebration. As a member of the Cratchit family, Peter embodies the joy and unity of the household, particularly highlighted during their interactions surrounding Tiny Tim, his ailing younger brother. Additionally, Peter is portrayed as contemplative regarding his future, considering a potential job opportunity. This combination of excitement for the present and reflection on the future underscores his dynamic role within the family, illustrating the themes of hope and resilience amidst their challenges.", "model": "gpt-4o-mini" }, - "e8398bd91d13a7d06df89dfac2fee7fd": { - "return": "(\"entity\"<|>\"Project Gutenberg™ trademark\"<|>\"organization\"<|>\"The Project Gutenberg™ trademark is the intellectual property associated with Project Gutenberg™, which signifies its dedication to the free distribution of electronic works.\")##\n(\"entity\"<|>\"EIN 64-6221541\"<|>\"organization\"<|>\"The EIN 64-6221541 is the federal tax identification number for the Project Gutenberg Literary Archive Foundation, which identifies it for tax purposes.\")##\n(\"entity\"<|>\"Defects\"<|>\"concept\"<|>\"Defects refer to potential issues that may arise within Project Gutenberg™ electronic works, including incomplete or corrupt data and other errors.\")##\n(\"entity\"<|>\"limited warranty\"<|>\"concept\"<|>\"Limited warranty refers to the disclaimer provided by the Project Gutenberg Literary Archive Foundation regarding the condition and reliability of electronic works provided.\")##\n(\"entity\"<|>\"Right of Replacement or Refund\"<|>\"concept\"<|>\"The Right of Replacement or Refund is a provision allowing users to request a refund or replacement for defective Project Gutenberg™ works within a specified timeframe.\")##\n(\"entity\"<|>\"Section 3 and 4\"<|>\"event\"<|>\"Sections 3 and 4 of the document provide information on how contributions and support can help Project Gutenberg™ continue its mission.\")##\n(\"entity\"<|>\"volunteers\"<|>\"person\"<|>\"Volunteers play a crucial role in the operation of Project Gutenberg™, contributing to copyright research, transcription, and proofreading of works to ensure quality and availability.\")##\n(\"entity\"<|>\"donations\"<|>\"concept\"<|>\"Donations are financial contributions that provide essential support to Project Gutenberg™, facilitating the efforts of volunteers and the overall project.\")##\n(\"entity\"<|>\"copyright research\"<|>\"event\"<|>\"Copyright research refers to the process undertaken by Project Gutenberg™ volunteers to ensure that works are not protected by U.S. copyright law before distribution.\")##\n(\"entity\"<|>\"U.S. copyright law\"<|>\"concept\"<|>\"U.S. copyright law governs the protection of intellectual property in the United States, impacting how works can be distributed through Project Gutenberg™.\")##\n(\"entity\"<|>\"legal fees\"<|>\"concept\"<|>\"Legal fees refer to costs associated with legal actions or advice that may arise in the context of using or distributing Project Gutenberg™ works.\")##\n\n##", + "188ced6a51350b354e6ca595ad900a7b": { + "return": "The Children are a lively and joyful group experiencing wonder and delight, especially during the gift-giving scenes of the Christmas festivities. They embody innocence and joy, highlighting the untainted happiness of childhood, a happiness that Ebenezer Scrooge longs to reconnect with. Among them are the offspring of the Cratchit family, who, despite the struggles their family faces, react with laughter and cheer during the Christmas celebrations. The Children symbolize familial warmth and chaotic joy in various settings, including the matron's home and their own family's environment, showcasing their carefree nature and the profound effects of their circumstances on their happiness. Overall, they represent the pure and curious essence of childhood, serving as a reminder of the happiness that can persist even amidst adversity.", "model": "gpt-4o-mini" }, - "b007fc600f0390dc5b16c9aa362f2fbc": { - "return": "(\"entity\"<|>\"Holly\"<|>\"geo\"<|>\"Holly is a plant associated with Christmas, mentioned among other decorations that contribute to the festive atmosphere.\")##\n(\"entity\"<|>\"Mistletoe\"<|>\"geo\"<|>\"Mistletoe is a traditional plant used for decoration during Christmas, symbolizing joy and a festive spirit.\")##\n(\"entity\"<|>\"Turkeys\"<|>\"geo\"<|>\"Turkeys represent a common food item associated with the Christmas feast, highlighting the culinary aspects of the celebration.\")##\n(\"entity\"<|>\"Geese\"<|>\"geo\"<|>\"Geese are another traditional food item during Christmas, contributing to the festive dining experiences.\")##\n(\"entity\"<|>\"Poultry\"<|>\"geo\"<|>\"Poultry refers to various birds used for Christmas meals, representing the culinary traditions of the holiday.\")##\n(\"entity\"<|>\"Chestnuts\"<|>\"geo\"<|>\"Chestnuts are a festive food mentioned among the goods sold during Christmas, adding to the holiday's sensory experience.\")##\n(\"entity\"<|>\"Spanish Onions\"<|>\"geo\"<|>\"Spanish Onions are a vegetable featured in the festive markets, enhancing the richness of Christmas cooking.\")##\n(\"entity\"<|>\"Apples\"<|>\"geo\"<|>\"Apples are a seasonal fruit displayed prominently during Christmas markets, symbolizing traditional holiday fare.\")##\n(\"entity\"<|>\"Pears\"<|>\"geo\"<|>\"Pears are another fruit contributing to the vibrant offerings in markets during the Christmas season.\")##\n(\"entity\"<|>\"Grapes\"<|>\"geo\"<|>\"Grapes are included in the festive market displays, representing holiday indulgence.\")##\n(\"entity\"<|>\"Filberts\"<|>\"geo\"<|>\"Filberts are nuts that evoke nostalgia and contribute to the traditional foods associated with Christmas.\")##\n(\"entity\"<|>\"Norfolk Biffins\"<|>\"geo\"<|>\"Norfolk Biffins are a type of apple referenced in the context of Christmas fruit offerings.\")##\n(\"entity\"<|>\"Figs\"<|>\"geo\"<|>\"Figs are sweet fruits that are particularly mentioned as part of the festive market offerings during Christmas.\")##\n(\"entity\"<|>\"French Plums\"<|>\"geo\"<|>\"French Plums are fruits showcased in the Christmas markets, adding to the eclectic array of festive produce.\")##\n\n## \n(\"relationship\"<|>\"Christmas\"<|>\"Holly\"<|>\"Holly contributes to the festive decorations associated with the Christmas celebration.\"<|>\"festive decorations, holiday spirit\"<|>8)##\n(\"relationship\"<|>\"Christmas\"<|>\"Mistletoe\"<|>\"Mistletoe is a traditional decoration that enhances the joy and atmosphere of Christmas.\"<|>\"festive symbols, joy\"<|>7)##\n(\"relationship\"<|>\"Christmas\"<|>\"Turkeys\"<|>\"Turkeys are a traditional dish served during Christmas, contributing to the celebratory meal.\"<|>\"culinary tradition, celebration\"<|>9)##\n(\"relationship\"<|>\"Christmas\"<|>\"Geese\"<|>\"Geese are commonly served at Christmas dinners, forming part of the holiday feast.\"<|>\"culinary tradition, celebration\"<|>9)##\n(\"relationship\"<|>\"The Grocers\"<|>\"Holly\"<|>\"The Grocers sell Holly and other festive items, enhancing the Christmas shopping experience.\"<|>\"market offerings, festive supplies\"<|>8)##\n(\"relationship\"<|>\"The Grocers\"<|>\"Mistletoe\"<|>\"The Grocers provide Mistletoe among their offerings, reflecting the holiday spirit.\"<|>\"market offerings, holiday spirit\"<|>8)##\n(\"relationship\"<|>\"The Grocers\"<|>\"Turkeys\"<|>\"The Grocers supply Turkeys for Christmas dinners, contributing to the festive meal preparations.\"<|>\"holiday meals, supply chain\"<|>9)##\n(\"relationship\"<|>\"The Grocers\"<|>\"Geese\"<|>\"The Grocers help provide Geese for the Christmas feast, supporting culinary traditions.\"<|>\"holiday meals, supply chain\"<|>9)##\n(\"relationship\"<|>\"Christmas\"<|>\"Apples\"<|>\"Apples are featured in markets during Christmas, indicating traditional holiday fare.\"<|>\"seasonal offerings, tradition\"<|>6)##\n(\"relationship\"<|>\"Christmas\"<|>\"Pears\"<|>\"Pears are part of the fruits offered during the Christmas season, enhancing festive markets.\"<|>\"seasonal offerings, tradition\"<|>6)##\n(\"relationship\"<|>\"The Grocers\"<|>\"Apples\"<|>\"The Grocers offer Apples as part of their Christmas produce, reflecting seasonal traditions.\"<|>\"market offerings, seasonal tradition\"<|>7)##\n(\"relationship\"<|>\"The Grocers\"<|>\"Pears\"<|>\"The Grocers supply Pears during Christmas, contributing to the holiday's culinary delights.\"<|>\"market offerings, festive spirit\"<|>7)##\n(\"relationship\"<|>\"Christmas\"<|>\"Chestnuts\"<|>\"Chestnuts are sold during Christmas, contributing to the sensory experience of the holiday.\"<|>\"festive foods, sensory experiences\"<|>8)##\n(\"relationship\"<|>\"The Grocers\"<|>\"Chestnuts\"<|>\"The Grocers feature Chestnuts in their market offerings during Christmas, enhancing the festive atmosphere.\"<|>\"market offerings, festive spirit\"<|>8)##\n(\"relationship\"<|>\"Christmas\"<|>\"Spanish Onions\"<|>\"Spanish Onions are part of the seasonal offerings that contribute to the culinary landscape of Christmas.\"<|>\"culinary tradition, seasonal offerings\"<|>7)##\n(\"relationship\"<|>\"The Grocers\"<|>\"Spanish Onions\"<|>\"The Grocers provide Spanish Onions, enriching the food selections during Christmas.\"<|>\"market offerings, food supply\"<|>7)##\n(\"relationship\"<|>\"Christmas\"<|>\"Figs\"<|>\"Figs are highlighted among the festive foods offered during Christmas, enhancing markets.\"<|>\"seasonal offerings, festive foods\"<|>6)##\n(\"relationship\"<|>\"The Grocers\"<|>\"Figs\"<|>\"The Grocers feature Figs in the Christmas markets, capturing the essence of holiday indulgence.\"<|>\"market offerings, seasonal treats\"<|>7)##\n(\"relationship\"<|>\"Christmas\"<|>\"French Plums\"<|>\"French Plums are included in the festive offerings, creating a rich holiday atmosphere.\"<|>\"seasonal offerings, festive foods\"<|>6)##\n(\"relationship\"<|>\"The Grocers\"<|>\"French Plums\"<|>\"The Grocers sell French Plums during Christmas, showcasing holiday produce.\"<|>\"market offerings, culinary delights\"<|>7)##\n(\"content_keywords\"<|>\"Christmas, festive decorations, culinary traditions, seasonal offerings\")<|COMPLETE|>", + "fcb702d894133971cc60f02ab4abd547": { + "return": "Scrooge's Nephew is a cheerful and optimistic character who embodies the spirit of Christmas, consistently challenging his uncle Scrooge's gloomy outlook on both Christmas and life. He is characterized by his contagious laughter and good humor, starkly contrasting with Scrooge's miserliness and pessimism. This jovial character actively participates in family gatherings, engaging in games and displaying a joyful demeanor. He finds humor in Scrooge's ill temper and wealth, often emphasizing the positive qualities of Christmas despite his uncle's negativity. Warm-hearted and determined, Scrooge's Nephew makes repeated attempts to involve Scrooge in the festive spirit, even in the face of his uncle's rebuffs. Overall, he represents a vibrant spirit of joy and laughter, serving as a lively counterpoint to Scrooge's initial persona.", "model": "gpt-4o-mini" }, - "cb2a450472979815fb1376af3c2d6d61": { - "return": "(\"entity\"<|>\"Gentleman with Excrescence\"<|>\"person\"<|>\"The Gentleman with Excrescence is characterized by a distinctive physical feature and expresses opinions about a funeral with a humorous outlook.\")##\n(\"entity\"<|>\"Large Chin Man\"<|>\"person\"<|>\"The Large Chin Man is a character who displays disinterest and engages in conversation about the deceased, revealing a lack of genuine concern.\")##\n(\"entity\"<|>\"Cold Weather\"<|>\"event\"<|>\"Cold Weather is noted in the conversation between the businessmen, serving as a backdrop to their trivial interactions.\")##\n(\"entity\"<|>\"The Party\"<|>\"event\"<|>\"The Party refers to the potential gathering for the funeral, which the characters consider with amusement rather than sincerity.\")##\n(\"entity\"<|>\"Rich Men\"<|>\"organization\"<|>\"Rich Men are depicted as individuals of considerable wealth and status, reflecting the social hierarchy and indifference towards the less fortunate.\")##\n(\"entity\"<|>\"Street\"<|>\"geo\"<|>\"The Street refers to the location where Scrooge observes the businessmen, symbolizing the busy yet impersonal urban environment.\")##\n(\"entity\"<|>\"Multitudes\"<|>\"concept\"<|>\"Multitudes refer to the crowd in the city, illustrating the anonymity and disconnect among people in urban life.\")##\n(\"entity\"<|>\"Shadow of Himself\"<|>\"concept\"<|>\"Shadow of Himself represents Scrooge's introspection and anticipation of his future actions based on his reflections.\")##\n(\"entity\"<|>\"Bad Repute\"<|>\"concept\"<|>\"Bad Repute refers to the negative perception attached to certain areas of the town, underscoring themes of moral decay and neglect.\")##\n(\"entity\"<|>\"Frouzy Curtaining\"<|>\"concept\"<|>\"Frouzy Curtaining signifies the poor living conditions and the sense of disarray found in the low-browed shop and its surroundings.\")##\n(\"entity\"<|>\"Rusty Keys, Nails, Chains, Hinges\"<|>\"concept\"<|>\"Rusty Keys, Nails, Chains, Hinges are symbolic items representing the remnants of past lives and the detritus of a forgotten society.\")##\n\n## \n(\"relationship\"<|>\"Gentleman with Excrescence\"<|>\"Large Chin Man\"<|>\"The Gentleman with Excrescence and the Large Chin Man engage in light-hearted banter about the deceased, showcasing their superficial camaraderie.\"<|>\"humor, social interaction\"<|>5)##\n(\"relationship\"<|>\"Gentleman with Excrescence\"<|>\"The Party\"<|>\"The Gentleman with Excrescence seeks a lunch provision for attending the party, indicating a lack of genuine interest in the funeral itself.\"<|>\"indifference, social obligation\"<|>6)##\n(\"relationship\"<|>\"Large Chin Man\"<|>\"Businessmen\"<|>\"The Large Chin Man interacts with the businessmen, demonstrating a shared triviality in their concerns and reinforcing social hierarchies.\"<|>\"social dynamics, triviality\"<|>5)##\n(\"relationship\"<|>\"Scrooge\"<|>\"Street\"<|>\"Scrooge observes the Street's inhabitants and their interactions, reflecting on his own status and societal detachment.\"<|>\"observation, societal critique\"<|>7)##\n(\"relationship\"<|>\"Scrooge\"<|>\"Multitudes\"<|>\"Scrooge's feelings of alienation are heightened as he witnesses the Multitudes, illustrating his inner turmoil and societal disconnect.\"<|>\"alienation, introspection\"<|>8)##\n(\"relationship\"<|>\"Scrooge\"<|>\"Shadow of Himself\"<|>\"Scrooge hopes to learn from the Shadow of Himself, signifying his desire for personal growth and understanding of his life choices.\"<|>\"introspection, personal growth\"<|>9)##\n(\"relationship\"<|>\"Scrooge\"<|>\"Bad Repute\"<|>\"Scrooge's experience in areas of Bad Repute forces him to confront the realities of society and his own role within it.\"<|>\"self-reflection, moral awakening\"<|>9)##\n(\"relationship\"<|>\"The Low-Browed Shop\"<|>\"Frouzy Curtaining\"<|>\"The Frouzy Curtaining serves as a descriptor of the Low-Browed Shop, symbolizing neglect and the harsh realities of the environment.\"<|>\"symbolism, decay\"<|>6)##\n(\"relationship\"<|>\"The Low-Browed Shop\"<|>\"Rusty Keys, Nails, Chains, Hinges\"<|>\"The Rusty Keys, Nails, Chains, and Hinges within the Low-Browed Shop highlight the decay and abandonment of valued items, metaphorically reflecting societal neglect.\"<|>\"symbolism, societal neglect\"<|>7)##\n<|COMPLETE|>", + "be4078c8712b67c5254f0b1615306cb1": { + "return": "Project Gutenberg is a digital library and organization dedicated to the free distribution of electronic works, particularly eBooks that are not protected by U.S. copyright law. It offers access to a vast array of literature, allowing for worldwide distribution under specific conditions. The organization aims to promote accessibility to literature without restrictions, providing eBooks in various formats to users globally.\n\nProject Gutenberg relies on the support of volunteers and donations to maintain its extensive collection, which serves the purpose of preserving cultural heritage through public domain literature. Additionally, the organization holds a compilation copyright for its collection, ensuring that its offerings are both legally sound and accessible to the public.\n\nIn essence, Project Gutenberg is committed to making literature freely available to everyone, championing the cause of open access to knowledge and cultural works.", "model": "gpt-4o-mini" }, - "5b16ce1999bd217b54628b839f8038fe": { - "return": "(\"entity\"<|>\"Peter Cratchit\"<|>\"person\"<|>\"Peter Cratchit is a member of the Cratchit family who participates in expressing their unity and happiness.\")##\n(\"entity\"<|>\"Two Young Cratchits\"<|>\"person\"<|>\"The Two Young Cratchits symbolize the innocence and joy of childhood within the Cratchit family.\")##\n(\"entity\"<|>\"The Spirit\"<|>\"organization\"<|>\"The Spirit refers to an embodiment of the Christmas message that represents moral guidance and introspection in Scrooge's life.\")##\n(\"entity\"<|>\"The Grave\"<|>\"geo\"<|>\"The Grave symbolizes the ultimate consequence of Scrooge's actions and the life he leads, representing mortality.\")##\n(\"entity\"<|>\"Jacob Marley\"<|>\"person\"<|>\"Jacob Marley is a deceased character who symbolizes the consequences of a life led without compassion, influencing Scrooge's redemption.\")##\n(\"entity\"<|>\"The Past\"<|>\"geo\"<|>\"The Past is a concept that reflects Scrooge's memories and previous actions that influence his current state and future decisions.\")##\n(\"entity\"<|>\"The Present\"<|>\"geo\"<|>\"The Present represents the current moment in Scrooge's life that he must recognize and change to achieve redemption.\")##\n(\"relationship\"<|>\"Bob\"<|>\"Peter Cratchit\"<|>\"Bob expresses feelings of happiness to Peter, showcasing the close family ties and the importance of togetherness.\"<|>\"family ties, happiness\"<|>8)##\n(\"relationship\"<|>\"The Spirit\"<|>\"Scrooge\"<|>\"The Spirit represents moral lessons and urges Scrooge to change his ways for a better future.\"<|>\"moral guidance, transformation\"<|>10)##\n(\"relationship\"<|>\"Scrooge\"<|>\"Jacob Marley\"<|>\"Scrooge reflects on Jacob Marley’s past warnings, which serve as a catalyst for his transformation.\"<|>\"past influence, warning\"<|>9)##\n(\"relationship\"<|>\"Scrooge\"<|>\"The Grave\"<|>\"Scrooge’s need to confront his own grave signifies the urgency to change his life before it is too late.\"<|>\"mortality, urgency\"<|>8)##\n(\"relationship\"<|>\"Scrooge\"<|>\"The Past\"<|>\"Scrooge must acknowledge The Past to understand his current situation and guide his choices for the future.\"<|>\"self-reflection, choices\"<|>9)##\n(\"relationship\"<|>\"Scrooge\"<|>\"The Present\"<|>\"Scrooge emphasizes the importance of living fully in The Present to change his fate going forward.\"<|>\"change, awareness\"<|>9)##\n(\"content_keywords\"<|>\"family unity, moral lessons, introspection, life choices\")<|COMPLETE|>", + "2fe8db04e6bf5b1d1d50e7a3d1da3654": { + "return": "Mrs. Cratchit is Bob Cratchit's devoted and hardworking wife, who plays a vital role in nurturing their family. She is characterized by her strong dedication to creating a joyous atmosphere in their home, despite the financial difficulties they face. As the mother of the Cratchit family, Mrs. Cratchit is nurturing and energetic, diligently managing Christmas preparations and ensuring that her children are well taken care of.\n\nProud of her cooking skills, particularly her Christmas pudding, Mrs. Cratchit showcases her commitment to family traditions. During the holiday festivities, she is actively involved, embodying warmth and resilience as she prepares meals and engages in celebrations that lift her family’s spirits. Her love for her family is evident as she expresses concern for her children, especially Tiny Tim, whose health brings emotional depth to their Christmas gathering.\n\nWhile she is portrayed as outspoken and harboring resentment towards Scrooge, she ultimately puts aside her feelings to fully participate in the Christmas festivities for the sake of her family. Her character embodies a blend of strength and vulnerability, reflecting both her pride and her struggles, and she remains a pivotal figure in the family's emotional dynamics during the holiday season.", "model": "gpt-4o-mini" }, - "e66d39e87f590a51bd35dd2f7d69e462": { - "return": "Scrooge is a central character known for his miserly disposition, cold-hearted nature, and disdain for Christmas. He initially embodies greed, focusing solely on business and exhibiting a lack of compassion for others. Throughout the story, Scrooge undergoes a profound transformation as he reflects on his life and the impact of his past decisions, particularly through the visits of spirits, including the ghost of his former partner, Jacob Marley.\n\nScrooge is depicted as a solitary figure who experiences a journey of self-discovery and redemption. He grapples with feelings of horror and remorse as he witnesses events related to the deceased and contemplates his own mortality, illustrating his internal struggle. His reflections often lead him to recall his lonely childhood and the mistakes that have shaped his pessimistic worldview.\n\nThe encounters with the spirits guide Scrooge through different scenes, revealing both joy and hardship during the Christmas season. These transformative experiences prompt him to reconsider his relationships, especially in relation to the Cratchit family and Tiny Tim, evoking deep emotions such as grief, regret, and longing for connection. Scrooge's character evolves from a skeptical, apathetic man to someone who embraces generosity, compassion, and a desire to make amends.\n\nBy the end of the narrative, Scrooge's transformation is marked by a newfound joy and determination, as he seeks to contribute positively to the lives of those around him, ultimately reshaping his previous views on Christmas and community.", + "6738bfb81d8ab602900c4355ac2a7283": { + "return": "Christmas is a significant and festive season that embodies themes of joy, love, generosity, and community, playing a crucial role in the narrative, particularly through the experiences of the Cratchit family and Ebenezer Scrooge. It is depicted as a time for family togetherness, celebration, and emotional reflection. For the Cratchit family, Christmas is a period marked by warmth, gratitude, and merriment, creating cherished memories despite their modest circumstances.\n\nIn contrast, Scrooge initially approaches Christmas with cynicism, referring to it dismissively as a \"humbug\" and rejecting the joy and goodwill that the season represents. His cold demeanor and disdain starkly oppose the spirit of generosity and community that permeates the holiday. The narrative emphasizes Christmas as a time of celebration and change, showcasing social responsibility and the importance of emotional connections within a community.\n\nChristmas serves as the backdrop for Scrooge's transformation, compelling him to confront his neglected relationships and past choices, which is integral to his character development. It is also associated with his Nephew, who passionately advocates for the holiday, further highlighting the contrast with Scrooge's cynical views.\n\nAs the story progresses, Christmas symbolizes redemption and change for Scrooge, who ultimately embraces the holiday's spirit of goodwill and abandons his bitterness. The festive occasion emerges as a pivotal element that reinforces exploration of redemption, generosity, and the transformative power of love and community. Joyful scenes of people celebrating, dancing, and engaging in festive activities sharply contrast with Scrooge's earlier solitude and disdain, underscoring the profound influence of Christmas on the thoughts and behaviors of all characters involved.", + "model": "gpt-4o-mini" + }, + "ad29dacc156636211c9e2acee1036972": { + "return": "Jacob Marley is Scrooge's deceased business partner, who appears as a ghost, prominently wearing chains that symbolize the burdens of his past misdeeds and the weight of his regrets. As a spirit, Marley plays a pivotal role in influencing Ebenezer Scrooge's journey toward redemption. He visits Scrooge to convey significant messages about the dire consequences of a life devoid of compassion and the critical importance of charity and kindness.\n\nMarley's haunting presence serves as a warning to Scrooge about his impending fate if he continues on his selfish and isolated path. He is depicted as showing genuine concern for Scrooge's welfare and the necessity for transformative change in his life. Through his visitation, Marley acts as a catalyst, compelling Scrooge to reflect on his past actions and their impact on others. His connection to Scrooge's history reinforces the themes of redemption and personal responsibility, emphasizing the potential for transformation and renewal in the face of prior wrongdoings. Ultimately, Jacob Marley's spirit not only acts as a reminder of the consequences of one's choices but also highlights the possibility of change and growth through self-awareness and connection to humanity.", + "model": "gpt-4o-mini" + }, + "9e37b2e1b4c1dc22f558c100c91e6019": { + "return": "The \"Spirit\" represents a multifaceted supernatural entity that plays a crucial role in guiding Ebenezer Scrooge through profound reflections on his life, death, and human emotions. Central to the narrative is the Spirit's embodiment of the essence of Marley, which interacts with Scrooge to highlight themes related to the afterlife and unresolved issues. The Spirit manifests as various figures, most notably the Ghost of Christmas Present, who personifies the themes of generosity, merriment, and the true spirit of the Christmas season.\n\nThroughout Scrooge's journey, the Spirit serves as a guide, leading him through memories of his past, reflecting his former self and the influence of time on his character. The entity illustrates important lessons about compassion, social responsibility, and the consequences of his actions, urging Scrooge to confront societal issues and fostering self-awareness.\n\nThe Spirit also emphasizes the somber aspects of life, illustrating lessons about mortality and the inevitability of death, prompting Scrooge to reflect on the implications of his life choices. Overall, the Spirit encapsulates the intersection of compassion, humanity, and the moral lessons inherent in the experience of life, serving as a catalyst for Scrooge's transformation and awakening.", + "model": "gpt-4o-mini" + }, + "d09833d296d89df6958b8a318f3b82a0": { + "return": "The Ghost is a crucial supernatural being in the narrative of Ebenezer Scrooge, playing a significant role in his transformative journey. Described as a strange figure that embodies qualities of both a child and an old man, The Ghost represents supernatural intervention in Scrooge's life and serves as a catalyst for self-reflection and moral realization. This spectral manifestation is identified as the apparition of Jacob Marley, who instills a sense of dread in Scrooge while delivering an important message about the repercussions of his actions and the necessity for change.\n\nThroughout their encounters, The Ghost guides Scrooge by revealing various scenes from his past, which evoke poignant emotions and highlight the joys of family and the significance of Christmas. It emphasizes key themes of redemption, kindness, and the emotional consequences of one's actions, urging Scrooge to confront his past and reconsider his life choices. This guidance underscores the importance of human virtue and the need for compassion towards others.\n\nUltimately, The Ghost acts as a guiding presence that influences Scrooge's emotional state and facilitates his journey toward redemption. By facing his past and opening himself to the lessons imparted by The Ghost, Scrooge begins to understand the value of kindness and the severe consequences of neglecting these moral principles throughout his life. In summary, The Ghost is a vital figure in Scrooge's transformation, encapsulating the overarching themes of change, redemption, and moral lessons.", + "model": "gpt-4o-mini" + }, + "ee7cb608fe472e9b3ae5d4c29e57f3fc": { + "return": "Scrooge is a central character in the narrative, initially depicted as a miserly, cold-hearted individual characterized by greed and a disdain for Christmas. Often referred to negatively as the \"Ogre of the family\" or a \"tight-fisted old man,\" Scrooge exemplifies a lack of compassion for others and a reluctance to engage in charitable acts, reflecting his solitary nature and indifference to the festive spirit.\n\nThe turning point in Scrooge's journey occurs with a haunting visit from the ghost of his former business partner, Jacob Marley. This encounter serves as a warning of the dire consequences of his actions and sets off a series of supernatural visits from three spirits, which guide Scrooge through his past, present, and future. During these encounters, Scrooge experiences horror, agitation, and regret, particularly as he grapples with the implications of his miserliness and recalls lonely moments from his childhood.\n\nThrough his interactions with the spirits, Scrooge witnesses both joy and sorrow, becoming especially affected by the plight of the Cratchit family and Tiny Tim. These reflections ignite feelings of grief and a longing for connection, prompting him to recognize his mortality and the far-reaching impact of his life choices on those around him. This emotional struggle fosters a conflict between Scrooge's prior skepticism about the supernatural and a developing capacity for empathy.\n\nUltimately, by the conclusion of the story, Scrooge undergoes a profound transformation. Emerging from his encounters with a newfound sense of joy and commitment to kindness, he fully embraces the spirit of Christmas and strives to positively influence the lives of those around him, particularly his employee Bob Cratchit and his family. Scrooge's evolution from a grumpy, indifferent man to one filled with goodwill encapsulates the narrative's themes of redemption, compassion, and community, demonstrating that change is not only possible, but that love and generosity can triumph over isolation and greed.", + "model": "gpt-4o-mini" + }, + "3d41833fd70a98b647240ffdacdf5db3": { + "return": "Bob Cratchit is a significant character in Charles Dickens' \"A Christmas Carol,\" serving as Ebenezer Scrooge's dedicated clerk. He is depicted as a struggling yet loving family man who embodies the challenges faced by the working class, highlighting the importance of family in the narrative. Despite enduring low wages, Cratchit demonstrates warmth and joy during the Christmas season, striving to maintain a positive atmosphere at home amidst financial hardships.\n\nAs the father of Tiny Tim and head of the Cratchit family, Bob exemplifies deep familial love and concern. He is characterized by his kindness and emotional depth, caring for his children and expressing affection for them, particularly during family celebrations. His happiness during the festive season underscores his duty as a father and husband, showcasing his resilience in the face of adversity.\n\nCratchit’s late arrival to work after Christmas illustrates his anxiety about Scrooge, which contrasts with the newfound generosity Scrooge begins to show him. This contrast further emphasizes Cratchit's positive demeanor, which remains unwavering despite his struggles. The warmth of the Cratchit household, particularly during their Christmas dinner, sharply contrasts with Scrooge's initial miserly attitude, highlighting the spirit of joy that Cratchit embodies.\n\nOverall, Bob Cratchit is not only a devoted father and husband but also a poignant symbol of resilience, hope, and the profound significance of family within the narrative, making him a compelling and heartwarming figure in \"A Christmas Carol.\"", + "model": "gpt-4o-mini" + }, + "2790c87e7adc96ca16c5adfe8302b4ef": { + "return": "Tiny Tim, whose real name is Tim Cratchit, is a poignant character in Charles Dickens' \"A Christmas Carol.\" He is depicted as the youngest son of Bob Cratchit and symbolizes hope, innocence, and resilience amidst the hardships faced by the Cratchit family, who struggle with poverty and illness. Tiny Tim is characterized by his frail health and is described as a cripple; despite this, he possesses a joyful spirit and maintains an optimistic outlook, serving as a source of joy for those around him.\n\nTiny Tim's well-being is central to the emotional landscape of the Cratchit family, representing their hopes for a better future and the love that bonds them together. His presence reminds others of the challenges posed by illness and poverty, evoking compassion, particularly from Ebenezer Scrooge, who transforms from a miser into a more generous figure through his reflections on Tiny Tim's situation.\n\nThe character is often referenced by Scrooge and serves as a symbol of innocence and the spirit of Christmas. Tiny Tim participates in festive celebrations, such as the Christmas toast, displaying his ability to embody the true essence of the holiday season despite his family's struggles. Cherished by his father, Bob Cratchit, and his family, Tiny Tim reinforces the narrative's themes of family, generosity, and the transformative power of kindness.\n\nUltimately, Tiny Tim leaves a lasting impression on both the characters within the story and the readers, encapsulating the themes of hope and renewal that resonate throughout \"A Christmas Carol.\" His legacy is not only of innocence and vulnerability but also of the indomitable spirit that inspires hope in times of adversity.", + "model": "gpt-4o-mini" + }, + "7fa3342d360c51e527cdac3518f7e543": { + "return": "Mrs. Fezziwig is the warm and kind partner of Mr. Fezziwig, playing a vital role in creating a festive atmosphere during their domestic celebrations, particularly at the Christmas ball. She embodies companionship and festive cheer, participating actively in the dances alongside her husband. Mrs. Fezziwig is known for her bright smile and joyous nature, contributing significantly to the warmth and cheer of the events they host together. Her presence and participation greatly enhance the overall ambiance, emphasizing the importance of joyous gatherings in their celebrations. Through her engagement in the festivities, Mrs. Fezziwig represents the spirit of holiday joy and communal celebration.", + "model": "gpt-4o-mini" + }, + "ef9b4ecb09f93b9786b7c80f6f9a16bb": { + "return": "Ebenezer Scrooge is a central character in Charles Dickens' \"A Christmas Carol,\" portrayed as a miserly and cold-hearted old man who undergoes a significant transformation. Known for his past connections and interactions, particularly with figures like Fezziwig and Dick Wilkins, Scrooge initially embodies selfishness and greed. Throughout the narrative, he experiences confusion and fear regarding the passage of time and is especially troubled by visitations from supernatural entities, which serve as catalysts for his change. Scrooge's journey illustrates his profound transformation, moving from a life of isolation and avarice to one filled with generosity and compassion, ultimately redefining his character from that of a miser to a benefactor.", + "model": "gpt-4o-mini" + }, + "c50ee4c8d609063ed3ba3d5cb617351d": { + "return": "Marley's Ghost is a spectral figure representing Jacob Marley, Ebenezer Scrooge's former business partner, who has returned to convey a crucial message about guilt, redemption, and the consequences of one's actions. This unearthly visitor appears to Scrooge to warn him of the impending visits from three spirits, intensifying themes of remorse and the necessity for transformation in Scrooge's life. Marley, having been dead for seven years, symbolizes the regret of a life poorly lived. His apparition deeply troubles Scrooge, prompting him to question the nature of reality and forcing him to confront the distressing realities of his past deeds. Ultimately, Marley's Ghost serves as a harbinger of change, urging Scrooge to reflect on his life choices and the potential for redemption.", + "model": "gpt-4o-mini" + }, + "7d61a97a91ffb6cc808c6ee67e1e9cb0": { + "return": "The Woman is a bold and defiant character who engages in humorous and lively exchanges, particularly with Joe, concerning the deceased and their belongings. She showcases a carefree attitude towards the former owner of these belongings, instigating discussions with a notable lack of reverence for the deceased. Throughout their conversations, The Woman provides light-hearted responses and laughs at the absurdity of their discussions, emphasizing her humorous demeanor.\n\nShe enters a shop with a heavy bundle, which further illustrates her assertive presence. Despite her engaging nature, her interactions reflect a focus on material gain rather than solemnity, making her a central figure in the dialogue that unfolds. Overall, The Woman embodies both a lively and irreverent spirit, contributing significantly to the dynamics of the conversations surrounding the deceased and their possessions.", + "model": "gpt-4o-mini" + }, + "78813d2c107b60441e3031c89577eacc": { + "return": "The Project Gutenberg Literary Archive Foundation is a 501(c)(3) non-profit educational corporation dedicated to increasing access to public domain and licensed works in machine-readable form. Established to ensure the free distribution of electronic works, the Foundation is committed to maintaining the Project Gutenberg™ collection for future generations. It serves as the organization that manages the Project Gutenberg trademark and oversees rights, licensing, and royalty payments associated with the organization. Additionally, it is focused on securing the future of Project Gutenberg's activities and contributions, fostering the availability of literary works that can be freely enjoyed by the public. Through its initiatives, the Foundation aims to expand the reach of literature and education by advancing access to a vast array of works.", + "model": "gpt-4o-mini" + }, + "39955fa986c78edd05f65a4bbde6617c": { + "return": "Topper is a lively and mischievous character who plays a significant role in the festive gathering associated with Scrooge's family. He is known for his jovial nature and participates actively in games, embodying the celebratory spirit of the Christmas party. As a guest at the gathering, Topper contributes to the joyful atmosphere alongside Fred and Scrooge. He is also noted for his playful and somewhat roguish demeanor, which enhances the merriment of the events.\n\nIn addition to his role as a cheerful participant, Topper is a member of Scrooge's niece's social circle, where he showcases his romantic inclinations, particularly towards one of Scrooge's niece's sisters. This intersection of playful behavior and romantic interest further enriches his character, making him an integral part of the festive celebrations. Overall, Topper exemplifies the spirit of joviality and camaraderie during the holiday season, solidifying his place as a memorable guest at the Christmas festivities.", + "model": "gpt-4o-mini" + }, + "a0f037be8304d857f6992dc5495a79c1": { + "return": "\"The Ghost\" is a crucial supernatural being in the narrative of Ebenezer Scrooge, playing a significant role in his transformative journey. Described as a strange figure that embodies qualities of both a child and an old man, The Ghost symbolizes supernatural intervention in Scrooge's life and serves as a catalyst for self-reflection and moral realization. This spectral manifestation is identified as the apparition of Jacob Marley, who instills a sense of dread in Scrooge while delivering an important message about the repercussions of his actions and the necessity for change.\n\nThroughout their encounters, The Ghost guides Scrooge by revealing various scenes from his past, which evoke poignant emotions and highlight the joys of family and the significance of Christmas. It emphasizes key themes of redemption, kindness, and the emotional consequences of one's actions, urging Scrooge to confront his past and reconsider his life choices. The Ghost serves as a supernatural guide, illustrating the importance of human virtue and the need for compassion towards others.\n\nUltimately, The Ghost acts as a guiding presence that influences Scrooge's emotional state and facilitates his journey toward redemption. By facing his past and opening himself to the lessons imparted by The Ghost, Scrooge begins to understand the value of kindness and the severe consequences of neglecting these moral principles throughout his life. In summary, The Ghost encapsulates the overarching themes of change, redemption, and moral lessons, proving vital in Scrooge's transformation.", + "model": "gpt-4o-mini" + }, + "005ab373369a34ce3326ba3b09d1896b": { + "return": "Tiny Tim, whose full name is Tim Cratchit, is a poignant character in Charles Dickens' \"A Christmas Carol.\" He is depicted as the youngest son of Bob Cratchit within a family that struggles with the hardships of poverty and illness. Tiny Tim symbolizes hope, innocence, and resilience amidst these challenges, with his frail health often leading him to be described as a cripple. Despite his physical limitations, he possesses a joyful spirit and maintains an optimistic outlook, which serves as a source of joy for those around him.\n\nTiny Tim's well-being is central to the emotional landscape of the Cratchit family, representing their hopes for a better future and the love that binds them together. His character evokes compassion and reflection from others, particularly Ebenezer Scrooge, who transforms from a miserly figure into a more generous person inspired by Tiny Tim's situation. Tiny Tim is often referenced by Scrooge and embodies the true essence of the Christmas spirit, participating in festive celebrations with a cheerful demeanor, embodying innocence and goodness despite the challenges presented by his health.\n\nCherished by his family, especially by his father, Bob Cratchit, Tiny Tim reinforces the narrative's themes of family, generosity, and the transformative power of kindness. His presence in the story serves as a reminder of the challenges faced by the vulnerable, and he leaves a lasting impression on both the characters within the narrative and the readers. Ultimately, he encapsulates the themes of hope and renewal that resonate throughout \"A Christmas Carol,\" symbolizing the indomitable spirit that inspires hope even in times of adversity.", + "model": "gpt-4o-mini" + }, + "53ebadd626dd7425d34d8da57532f604": { + "return": "Christmas is a significant and festive season that embodies themes of joy, love, generosity, and community. It plays a crucial role in the narrative, particularly through the experiences of the Cratchit family and the character development of Ebenezer Scrooge. Christmas is depicted as a joyful time of family togetherness, celebration, and emotional reflection, marked by warmth and gratitude, especially for the Cratchit family who create cherished memories despite their modest circumstances.\n\nIn contrast, Scrooge initially approaches Christmas with cynicism, dismissing it as a \"humbug\" and rejecting the joy and goodwill that the season represents. His cold demeanor and disdain sharply oppose the spirit of generosity and community that permeates the holiday. The narrative emphasizes Christmas as a time of celebration and social responsibility, showcasing the importance of emotional connections within a community.\n\nChristmas serves as the backdrop for Scrooge's transformation, compelling him to confront his neglected relationships and past choices, which is pivotal to his character development. His Nephew, who is passionate about the holiday, further highlights the contrast between Scrooge's cynical views and the festive spirit. As the story progresses, Christmas symbolizes redemption and change for Scrooge, who ultimately embraces the holiday's spirit of goodwill and abandons his bitterness.\n\nThe festive occasion emerges as a pivotal element that reinforces exploration of redemption, generosity, and the transformative power of love and community. Joyful scenes of people celebrating, dancing, and engaging in festive activities sharply contrast with Scrooge's earlier solitude and disdain, underscoring the profound influence of Christmas on the thoughts and behaviors of all characters involved.", + "model": "gpt-4o-mini" + }, + "ef854a0ec875c2befb6acdc9b1bfa263": { + "return": "Scrooge is a central character embodying a profound transformation throughout Charles Dickens' narrative, initially depicted as a miserly, cold-hearted individual characterized by greed and a disdain for Christmas. Often referred to negatively as the \"Ogre of the family\" or a \"tight-fisted old man,\" he exemplifies a lack of compassion and indifference toward others, reflecting his solitary nature and reluctance to engage in charitable acts.\n\nThe pivotal turning point in Scrooge's journey occurs with a haunting visit from the ghost of his former business partner, Jacob Marley, who warns him of the dire consequences of his actions. This encounter triggers a series of supernatural visits from three spirits, guiding Scrooge through reflections on his past, present, and future. During these encounters, he experiences horror, agitation, and regret as he grapples with the implications of his miserliness and recalls lonely moments from his childhood.\n\nThrough his interactions with the spirits, Scrooge witnesses both joy and sorrow, becoming especially affected by the plight of the Cratchit family and Tiny Tim. These reflections ignite feelings of grief and a longing for connection, compelling him to recognize his mortality and the extensive impact of his choices on those around him. This emotional struggle catalyzes a conflict between Scrooge's initial skepticism about the supernatural and a developing capacity for empathy.\n\nUltimately, by the conclusion of the story, Scrooge undergoes a significant transformation. Emerging from his supernatural encounters with a newfound joy and commitment to kindness, he fully embraces the spirit of Christmas. This evolution from a grumpy, indifferent figure to one filled with goodwill encapsulates the narrative's themes of redemption, compassion, and community. Scrooge’s journey illustrates that change is not only possible, but that love and generosity can triumph over isolation and greed, as he strives to positively influence the lives of others, particularly his employee Bob Cratchit and his family.", + "model": "gpt-4o-mini" + }, + "0f91a413703267083bca77d2a6fcfa37": { + "return": "\"The Spirit\" is a multifaceted supernatural entity that guides Ebenezer Scrooge through a transformative journey during the Christmas season. It is often portrayed as a ghostly figure, encompassing the roles of the Ghost of Christmas Past and the Ghost of Christmas Present. This entity plays a vital role in illuminating various themes, including joy, generosity, and moral introspection.\n\nThroughout the narrative, The Spirit influences Scrooge's emotional journey, prompting him to reflect on his past and understand the consequences of his actions. By guiding him through memories, The Spirit helps Scrooge recognize the significance of happiness, compassion, and community in life. This guiding force not only encourages deep introspection but also highlights the moral lessons associated with the holiday season.\n\nThe Spirit embodies the collective essence of the Christmas spirits and serves as a moral compass for Scrooge. It promotes an environment filled with cheer and mirth, significantly shaping the mood of Christmas and emphasizing the importance of generosity. As Scrooge navigates his reflections on life—past, present, and future—The Spirit plays a critical role in his transformation, ultimately pushing him toward meaningful change and a reevaluation of his life choices.\n\nIn essence, The Spirit acts as both a supernatural guide and an emotional influence, signifying the profound impact of reflection, memory, and personal transformation during the holiday season. Through its guidance, Scrooge embarks on a journey towards understanding the value of life and embracing the spirit of Christmas.", + "model": "gpt-4o-mini" + }, + "76a99d93a1b3d2e2f04ec25de47e5f6d": { + "return": "Bob Cratchit is a significant character in Charles Dickens' \"A Christmas Carol,\" serving as Ebenezer Scrooge's dedicated clerk. He is depicted as a struggling yet loving family man who embodies the challenges faced by the working class, highlighting the importance of family in the narrative. Despite enduring low wages, Bob demonstrates warmth and joy during the Christmas season, striving to maintain a positive atmosphere at home amidst financial hardships.\n\nAs the father of Tiny Tim and head of the Cratchit family, Bob exemplifies deep familial love and concern. He is characterized by his kindness and emotional depth, caring for his children and expressing affection for them, especially during family celebrations. His happiness during the festive season underscores his duty as a father and husband, showcasing his resilience in the face of adversity. Bob’s mild-mannered nature is evident as he enjoys Christmas dinner with his family, reflecting appreciation for even the smallest of blessings despite their struggles.\n\nCratchit's late arrival to work after Christmas illustrates his anxiety about Scrooge, contrasting with the newfound generosity Scrooge begins to show him. This dynamic emphasizes Bob's positive demeanor, which remains unwavering despite his challenges. The warmth of the Cratchit household, particularly during their Christmas dinner, sharply contrasts with Scrooge’s initial miserly attitude, highlighting the spirit of joy that Bob embodies.\n\nOverall, Bob Cratchit is not only a devoted father and husband but also a poignant symbol of resilience, hope, and the profound significance of family within the narrative, making him a compelling and heartwarming figure in \"A Christmas Carol.\"", "model": "gpt-4o-mini" }, "a88aa22110316b0a82d181d878dfcadb": { - "return": "The story prominently features several key themes that resonate throughout its narrative. One of the most significant themes is **redemption**. The protagonist, Ebenezer Scrooge, undergoes a profound transformation as he is confronted with the consequences of his past actions, ultimately leading to his resolution to change and embrace a better, more compassionate life. This theme underscores the idea that it is never too late to alter one's path and seek forgiveness for past wrongs.\n\nAnother central theme is **the importance of kindness and generosity**. Scrooge’s initial miserliness contrasts sharply with the warmth and joy displayed by characters like the Cratchit family. Their humble celebration of Christmas, despite their struggles, highlights the value of familial love, community spirit, and the act of giving, which serves as a reminder that wealth is not measured solely in material possessions.\n\nThe theme of **time** is also critical, as the narrative explores the impact of the past, present, and future on individual lives. Scrooge's journey with the three spirits emphasizes how experiences shape one's character and choices, reinforcing the notion that the present moment is vital for making positive changes. Through his reflections on lost opportunities and potential futures, Scrooge learns that acknowledging time's lessons is essential for personal growth.\n\nLastly, **isolation versus community** is a significant theme. Scrooge's initial solitude reflects his disconnection from humanity, which is contrasted by the stronger bonds of friendship and familial ties depicted in the lives of those around him. This theme highlights the necessity of nurturing relationships and the adverse effects of alienation. Ultimately, the story advocates for the interconnectedness of people and the joy that comes from engaging with others.\n\nIn summary, the themes of redemption, kindness, the significance of time, and the contrast between isolation and community weave together to create a rich moral tapestry that encourages readers to embrace empathy and change.", + "return": "The story, primarily \"A Christmas Carol\" by Charles Dickens, embodies several prominent themes that resonate throughout its narrative. \n\nOne of the most significant themes is the idea of redemption. Throughout the story, the protagonist, Ebenezer Scrooge, undergoes a profound transformation from a miserly, cold-hearted individual to one who embraces compassion, generosity, and the spirit of Christmas. This journey illustrates that it is never too late to change and that personal redemption is achievable through self-reflection and the willingness to amend one's ways.\n\nAnother key theme is the importance of family and community. The relationships demonstrated among the Cratchit family highlight the warmth and joy that come from love, unity, and support, in stark contrast to Scrooge's isolated existence. The story emphasizes how being connected to others and valuing those relationships enriches one's life beyond material wealth.\n\nAdditionally, the theme of the consequences of one’s actions is central to the narrative. Scrooge's journey with the spirits shows that his past misdeeds and present behaviors have far-reaching impacts, not only on himself but also on those around him. The vivid visions of the future serve as a stark reminder of where his choices could lead, reinforcing the message that our decisions reflect our values and affect our lives and those of others.\n\nLastly, the story conveys a strong social commentary on the disparities between the rich and the poor, urging a sense of social responsibility. Dickens critiques the indifference of the wealthy towards the suffering of the less fortunate, advocating for empathy and the need to care for one another, particularly during the festive season. \n\nThese themes combine to create a powerful narrative that speaks to the human capacity for change, the invaluable nature of relationships, the morality of our actions, and the call to social consciousness.", "model": "gpt-4o-mini" }, "393cba6de95d05eff27a695ea77494f6": { - "return": "{\n \"high_level_keywords\": [\"Themes\", \"Story analysis\", \"Literary elements\"],\n \"low_level_keywords\": [\"Character development\", \"Conflict\", \"Symbolism\", \"Narrative structure\", \"Moral lessons\"]\n}", + "return": "{\n \"high_level_keywords\": [\"Themes\", \"Story analysis\", \"Literary elements\"],\n \"low_level_keywords\": [\"Character development\", \"Conflict\", \"Setting\", \"Plot twists\", \"Motifs\"]\n}", + "model": "gpt-4o-mini" + }, + "77c5d24c33e2a79b0d38d53731e0b46a": { + "return": "## Top Themes in \"A Christmas Carol\"\n\n\"A Christmas Carol,\" a timeless tale by Charles Dickens, revolves around several profound themes that resonate with readers even today. Through the journey of Ebenezer Scrooge, these themes are depicted vividly, driving the narrative and the transformative journey of the protagonist.\n\n### Redemption and Change\n\nRedemption is central to Scrooge's story. Initially depicted as a miserly and cold-hearted individual, Scrooge undergoes a significant transformation. The turning point occurs when he is visited by the ghost of Jacob Marley, followed by three spirits representing his past, present, and future. These encounters compel him to confront the consequences of his actions and reconsider his life choices. The notion that it is never too late for change embodies the spirit of hope and the possibility of redemption, reinforcing that one's past does not define their future.\n\n### Compassion and Generosity\n\nAnother key theme is the importance of compassion and the necessity for generosity. Throughout the narrative, we see the stark contrast between Scrooge's initial indifference and the warm-heartedness of the Cratchit family, who, despite their financial struggles, embody love and kindness. Scrooge's eventual embrace of the Christmas spirit and willingness to support those in need highlight the narrative's critique of societal apathy and the moral obligation to care for one another. The transformation of Scrooge from a \"tight-fisted old man\" to a figure of goodwill symbolizes the profound impact of kindness on both the giver and receiver.\n\n### The Significance of Family\n\nFamily plays an essential role in \"A Christmas Carol,\" particularly through the portrayal of the Cratchit family and Scrooge's relationships. The Cratchits exemplify resilience and togetherness despite their hardships. Their celebrations and love for one another demonstrate the strength derived from familial bonds. In contrast, Scrooge's initial isolation serves as a poignant reflection on the consequences of rejecting connections with loved ones. The theme emphasizes the importance of nurturing relationships, love, and emotional connections during both joyful and challenging times.\n\n### The Passage of Time\n\nTime is a critical theme woven throughout the narrative. Scrooge's encounters with the ghosts emphasize the significance of the past, the fleeting nature of the present, and the inevitable fate awaiting him in the future if he continues on his current path. Through the spirits, Scrooge is forced to reflect on his life choices and the impact of time on relationships and personal values. This theme invokes an understanding of mortality and the urgency to live a life of purpose, kindness, and responsibility to others.\n\n### Societal Critique\n\nLastly, Dickens effectively uses \"A Christmas Carol\" to critique societal issues, particularly regarding poverty and social injustice. The characterization of individuals such as Bob Cratchit and Tiny Tim underlines the struggles faced by the working class and the dire consequences of neglecting societal obligations. Dickens employs the narrative to champion social responsibility and awareness, advocating that wealth should not be hoarded but shared for the betterment of society. The poignant images of Want and Ignorance introduced by the Ghost of Christmas Present serve as symbols of societal failings and highlight the urgent need for change and compassion.\n\n---\n\nIn summary, the themes of redemption, compassion, family, the passage of time, and societal critique intertwine to create a rich tapestry that allows \"A Christmas Carol\" to be a powerful and enduring narrative. Through Scrooge’s transformation, Dickens conveys essential lessons on the values of kindness, connection, and the importance of living a life filled with compassion.", + "model": "gpt-4o-mini" + }, + "c69a1b30e6fedb12f34cad36ac9146c9": { + "return": "The story of *A Christmas Carol* by Charles Dickens is rich with themes that explore the human condition, morality, and social commentary. Below are some of the top themes evidenced in the narrative:\n\n### Transformation and Redemption\nThe central theme of the story is the possibility of personal transformation and redemption. Ebenezer Scrooge epitomizes this theme as he undergoes a profound change from a miserly, cold-hearted man to a kind and generous person. The visits from the three spirits—The Ghost of Christmas Past, The Ghost of Christmas Present, and The Ghost of Christmas Yet to Come—serve as catalysts for this transformation. They compel Scrooge to confront the consequences of his life choices, illustrating the narrative's core message that it is never too late for change and growth.\n\n### The Spirit of Christmas\nChristmas itself stands as a symbol of hope, generosity, and love. The holiday serves as a backdrop for Scrooge's journey, allowing him to reconnect with the joys of family, community, and kindness. The story portrays Christmas as a time for reflection, reconciliation, and joy, emphasizing the importance of compassion towards others and the spirit of giving. The stark contrast between Scrooge’s initial disdain for Christmas and his later embrace of its meanings underscores this theme.\n\n### Social Critique\nDickens offers a critique of societal issues, particularly poverty and social injustice, by highlighting the plight of characters such as Bob Cratchit and his family. The introduction of concepts like \"Want\" and \"Ignorance\" during Scrooge's transformation journey serves to remind readers of the moral obligations to help those less fortunate. The character of Tiny Tim becomes a poignant representation of innocence and vulnerability, compelling readers to acknowledge the struggles faced by the lower classes in society.\n\n### Isolation vs. Community\nIsolation is a recurring theme tied closely to Scrooge's character. His initial seclusion and detachment from society reflect his indifference and greed, creating a life devoid of warmth and connection. In contrast, the joyful gatherings of the Cratchit family and Scrooge’s interactions with friends and family illustrate the importance of community. The narrative emphasizes that true fulfillment comes from meaningful relationships and social engagement rather than material wealth.\n\n### Memory and Reflection\nMemory plays a vital role in shaping Scrooge’s understanding of himself and his past. The spirits’ journeys through Scrooge's memories reveal moments of joy, sorrow, and lost opportunities that lead to self-reflection. The memories serve as a foundation for his transformation, prompting an exploration of how past experiences influence current values and decisions.\n\n### Love and Loyalty\nLove, particularly familial love, is presented as a source of strength and resilience. Bob Cratchit’s devotion to his family, especially his care for Tiny Tim, highlights the significance of loyalty and affection in the face of hardship. Scrooge's eventual recognition of the importance of love, as he begins to prioritize relationships over wealth, demonstrates the power of love to bring about personal change and happiness.\n\n### Conclusion\nIn summary, *A Christmas Carol* navigates through complex themes that resonate with readers across generations. Dickens masterfully intertwines elements of redemption, the festive spirit, social critique, isolation versus community, memory, and the profound importance of love to deliver a compelling narrative that inspires reflection on morality and one's impact on society. These themes combine to form a powerful message that encourages kindness, generosity, and an understanding of the interconnectedness of humanity, making the story timeless and universally relevant.", "model": "gpt-4o-mini" }, - "a983995d27621826c2c34b3086cc20b3": { - "return": "The novella \"A Christmas Carol\" by Charles Dickens is rich with themes that resonate with readers and audiences across generations. Several key themes emerge prominently, each contributing to the moral fabric of the narrative.\n\n### Transformation and Redemption\n\nAt the heart of the story lies the theme of transformation, particularly as embodied by the character of Ebenezer Scrooge. Initially depicted as miserly and unyielding, Scrooge undergoes a profound change facilitated by the supernatural visits of the three spirits. This metamorphosis underscores the transformative power of reflection, compassion, and the spirit of giving typically embodied by the Christmas season. Scrooge’s journey from a cold-hearted miser to a kind and generous man illustrates the possibility of redemption, regardless of one's past.\n\n### The Consequences of Avarice\n\nAvarice, or excessive greed, is another central theme depicted through Scrooge's character. His initial cold-heartedness is a direct consequence of his avaricious nature; he focuses solely on material wealth and business dealings at the expense of relationships and joy. The narrative highlights the ultimate emptiness that such a life leads to, culminating in feelings of loneliness and despair. This theme serves as a cautionary tale about the dangers of prioritizing wealth over human connection and empathy.\n\n### The Importance of Family and Community\n\nFamily and community play crucial roles throughout the story, serving as a stark contrast to Scrooge’s lonely existence. The interactions of the Cratchit family during Christmas exemplify warmth, love, and togetherness. Through the lens of the Cratchits, especially Tiny Tim’s character, readers witness the importance of familial bonds and social responsibility. The emotional connections and support displayed in these relationships portray a sense of hope and joy that transcends material circumstances.\n\n### Mortality and Reflection\n\nMortality is a recurring theme that compels both Scrooge and the reader to contemplate the fragility of life. The visits from the spirits, particularly the Ghost of Christmas Yet to Come, force Scrooge to confront the reality of his actions and their ultimate consequences—his own death and legacy. The theme of mortality drives home the message that it is essential to live a life marked by compassion and kindness, as these legacy elements are what endure beyond one's physical existence.\n\n### The Supernatural and Symbolism\n\nThe influence of supernatural elements and symbolism plays a significant role in conveying the story's themes. The three spirits serve not only as guides to Scrooge’s past, present, and future but also symbolize the moral choices that individuals must confront. For example, the chains worn by Marley's Ghost symbolize the burdens of regret that accompany a life devoid of compassion. Darkness and light are depicted throughout the novella, representing the struggles between ignorance and knowledge, despair and hope.\n\n### Conclusion \n\nIn summary, \"A Christmas Carol\" encompasses profound themes that engage with the complexities of the human experience. Transformation and redemption, avarice, the significance of family and community, mortality, and the role of the supernatural come together to form a rich tapestry of moral lessons. These themes not only elevate the narrative but also invite readers to reflect on their own lives and relationships, making the novella a timeless classic in discussions of human values and societal responsibilities. The story illustrates how one's choices can create ripples of impact throughout their life and the lives of others.", + "03fd545d69ddbbdd51b45c353912495d": { + "return": "The narrative of \"A Christmas Carol\" by Charles Dickens is rich with various themes that explore the complexities of human relationships, morality, and social issues. Here are some of the top themes found throughout the story:\n\n### **Redemption and Transformation**\nOne of the most prominent themes is the possibility of redemption. The evolution of Ebenezer Scrooge's character from a miserly, cold-hearted individual to a compassionate, caring person underscores this theme. Through his encounters with the spirits, Scrooge learns about the consequences of his actions and the importance of generosity and love. His transformation is a testament to the belief that it is never too late to change one's ways, reinforcing the idea that individuals have the power to reshape their lives through conscious effort.\n\n### **The Spirit of Christmas**\nChristmas serves as a central backdrop in the story, embodying themes of joy, love, and community. The festive spirit is depicted through the Cratchit family's warm celebrations, contrasting sharply with Scrooge’s initial disdain for the holiday. The narrative emphasizes the significance of coming together with family and friends, the joy of giving, and the overall impact of Christmas on human behavior, suggesting that this season can inspire compassion and reconnect people with their humanity.\n\n### **Societal Responsibility**\nThe story also addresses social responsibility, particularly through the representations of Want and Ignorance. These figures symbolize the neglect of the impoverished and the urgent need for societal awareness and compassion. Dickens critiques social norms that allow wealth disparities to influence the lives of the less fortunate, urging readers to reflect on their roles in addressing these social issues. The relationship between Scrooge and Bob Cratchit highlights the struggles of the working class, and through Tiny Tim, the narrative underscores the vulnerability of those in need.\n\n### **Mortality and Reflection**\nMortality is another critical theme woven into the narrative. The specter of death hangs over Scrooge as he is confronted with his fate, prompting deep introspection regarding his life choices and their ramifications. These reflections compel Scrooge—and readers alike—to evaluate what truly matters in life and consider their legacies. The moments of realization surrounding death inspire a renewed appreciation for life’s experiences and relationships, encouraging themes of connection and legacy.\n\n### **Isolation vs. Connection**\nAnother striking theme in the story revolves around the contrast between isolation and connection. Scrooge's character initially embodies solitude, reflecting a life devoid of meaningful relationships. However, through his journey, he learns that connection and caring for others lead to true happiness and fulfillment. The Cratchit family's unity amidst hardship serves as a poignant example of resilience and love, illustrating the enriching power of community and shared experiences.\n\n### **Love and Family**\nLastly, the theme of love—especially familial love—pervades the narrative. The Cratchit family's emotional support for one another amidst poverty emphasizes the significance of love in overcoming life's challenges. Scrooge's eventual acceptance of familial connections and his shifting perspectives on his Nephew Fred highlight the importance of familial bonds and the joy derived from nurturing those relationships.\n\n### **Conclusion**\nOverall, \"A Christmas Carol\" presents a multifaceted exploration of themes that resonate deeply with readers. By addressing redemption, the spirit of Christmas, societal responsibility, mortality, connection, and familial love, Dickens weaves a compelling narrative that invites reflection on personal values and social ethics. The transformations and lessons learned by Scrooge serve as timeless reminders of the impact one can have on themselves and others through kindness, generosity, and connection.", "model": "gpt-4o-mini" } } \ No newline at end of file diff --git a/neo4jWorkDir/lightrag.log b/neo4jWorkDir/lightrag.log index 5dab2a0c..7a7741ea 100644 --- a/neo4jWorkDir/lightrag.log +++ b/neo4jWorkDir/lightrag.log @@ -1,5 +1,5 @@ -2024-10-29 13:32:26,188 - lightrag - INFO - Logger initialized for working directory: ./neo4jWorkDir -2024-10-29 13:32:26,188 - lightrag - DEBUG - LightRAG init with param: +2024-10-30 05:08:05,826 - lightrag - INFO - Logger initialized for working directory: ./neo4jWorkDir +2024-10-30 05:08:05,827 - lightrag - DEBUG - LightRAG init with param: working_dir = ./neo4jWorkDir, chunk_token_size = 1200, chunk_overlap_token_size = 100, @@ -8,10 +8,10 @@ entity_summary_to_max_tokens = 500, node_embedding_algorithm = node2vec, node2vec_params = {'dimensions': 1536, 'num_walks': 10, 'walk_length': 40, 'window_size': 2, 'iterations': 3, 'random_seed': 3}, - embedding_func = {'embedding_dim': 1536, 'max_token_size': 8192, 'func': }, + embedding_func = {'embedding_dim': 1536, 'max_token_size': 8192, 'func': }, embedding_batch_num = 32, embedding_func_max_async = 16, - llm_model_func = , + llm_model_func = , llm_model_name = meta-llama/Llama-3.2-1B-Instruct, llm_model_max_token_size = 32768, llm_model_max_async = 16, @@ -21,7427 +21,4564 @@ graph_storage_cls = , enable_llm_cache = True, addon_params = {}, - convert_response_to_json_func = + convert_response_to_json_func = -2024-10-29 13:32:26,188 - lightrag - INFO - Load KV full_docs with 0 data -2024-10-29 13:32:26,189 - lightrag - INFO - Load KV text_chunks with 0 data -2024-10-29 13:32:26,189 - lightrag - INFO - Load KV llm_response_cache with 0 data -2024-10-29 13:32:26,190 - lightrag - INFO - Creating a new event loop in a sub-thread. -2024-10-29 13:32:26,190 - lightrag - INFO - [New Docs] inserting 1 docs -2024-10-29 13:32:26,366 - lightrag - INFO - [New Chunks] inserting 42 chunks -2024-10-29 13:32:26,366 - lightrag - INFO - Inserting 42 vectors to chunks -2024-10-29 13:32:29,041 - lightrag - INFO - [Entity Extraction]... -2024-10-29 13:33:22,411 - lightrag - INFO - _do_upsert:query: +2024-10-30 05:08:05,827 - lightrag - INFO - Load KV full_docs with 0 data +2024-10-30 05:08:05,827 - lightrag - INFO - Load KV text_chunks with 0 data +2024-10-30 05:08:05,827 - lightrag - INFO - Load KV llm_response_cache with 0 data +2024-10-30 05:08:05,828 - lightrag - INFO - Creating a new event loop in a sub-thread. +2024-10-30 05:08:05,828 - lightrag - INFO - [New Docs] inserting 1 docs +2024-10-30 05:08:05,999 - lightrag - INFO - [New Chunks] inserting 42 chunks +2024-10-30 05:08:05,999 - lightrag - INFO - Inserting 42 vectors to chunks +2024-10-30 05:08:08,078 - lightrag - INFO - [Entity Extraction]... +2024-10-30 05:09:04,051 - lightrag - INFO - get_node:query:MATCH (n:`PROJECT GUTENBERG`) RETURN n:result:"Project Gutenberg is a digital library providing free access to a wide range of eBooks, primarily in the United States and other regions, under specific licensing terms.""Project Gutenberg is an organization dedicated to the free distribution of electronic works and the preservation of the cultural heritage by providing access to public domain literature."', 'source_id': 'chunk-194cd9680f4967f48bea89678f7ece21chunk-af4ae173c561e4594c5aea96198cce9dchunk-9e3921da66da5d761ab73cd849af6c43'}> +2024-10-30 05:09:04,409 - lightrag - INFO - _do_upsert:query: MERGE (n:`PROJECT GUTENBERG`) SET n += $properties RETURN n - :result:{'entity_type': '"ORGANIZATION"', 'description': '"Project Gutenberg is a digital library offering free eBooks, allowing anyone to access literature in various formats without restrictions.""Project Gutenberg is a digital library providing free access to a wide range of eBooks, primarily in the United States and other regions, under specific licensing terms.""Project Gutenberg is an organization dedicated to the free distribution of electronic works and the preservation of the cultural heritage by providing access to public domain literature."', 'source_id': 'chunk-194cd9680f4967f48bea89678f7ece21chunk-af4ae173c561e4594c5aea96198cce9dchunk-9e3921da66da5d761ab73cd849af6c43'} -2024-10-29 13:33:22,678 - lightrag - INFO - _do_upsert:query: + :result:{'entity_type': '"ORGANIZATION"', 'description': '"Project Gutenberg is a digital library offering free access to a vast array of eBooks, particularly those not protected by U.S. copyright law, allowing for worldwide distribution under specific conditions.""Project Gutenberg is a digital library offering free eBooks, allowing anyone to access literature in various formats without restrictions.""Project Gutenberg is a digital library providing free access to a wide range of eBooks, primarily in the United States and other regions, under specific licensing terms.""Project Gutenberg is an organization dedicated to the free distribution of electronic works and the preservation of the cultural heritage by providing access to public domain literature.""Project Gutenberg is an organization dedicated to the free distribution of electronic works, relying on volunteers and donations to maintain its collection.""Project Gutenberg is an organization that promotes the free distribution of electronic works and holds a compilation copyright for its collection.""Project Gutenberg is an organization that provides free eBooks, promoting accessibility to literature without restrictions."', 'source_id': 'chunk-194cd9680f4967f48bea89678f7ece21chunk-af4ae173c561e4594c5aea96198cce9dchunk-9e3921da66da5d761ab73cd849af6c43chunk-c51b3dc560b408cce12cdfe5c9c94f57'} +2024-10-30 05:09:04,957 - lightrag - INFO - get_node:query:MATCH (n:`A CHRISTMAS CAROL`) RETURN n:result: +2024-10-30 05:09:05,114 - lightrag - INFO - _do_upsert:query: MERGE (n:`A CHRISTMAS CAROL`) SET n += $properties RETURN n - :result:{'entity_type': '"EVENT"', 'description': '"A Christmas Carol is a novella by Charles Dickens that explores themes of redemption, compassion, and the spirit of Christmas, first published in 1843."', 'source_id': 'chunk-9e3921da66da5d761ab73cd849af6c43'} -2024-10-29 13:33:22,954 - lightrag - INFO - _do_upsert:query: + :result:{'entity_type': '"EVENT"', 'description': '"A Christmas Carol is a famous novella by Charles Dickens that tells the story of Ebenezer Scrooge\'s transformation and redemption, particularly around the Christmas season.""A Christmas Carol is a literary work available through Project Gutenberg, indicating its role in literature and public access.""A Christmas Carol is a novella by Charles Dickens that explores themes of redemption, compassion, and the spirit of Christmas, first published in 1843."', 'source_id': 'chunk-194cd9680f4967f48bea89678f7ece21chunk-9e3921da66da5d761ab73cd849af6c43'} +2024-10-30 05:09:05,271 - lightrag - INFO - get_node:query:MATCH (n:`CHARLES DICKENS`) RETURN n:result: +2024-10-30 05:09:05,422 - lightrag - INFO - _do_upsert:query: MERGE (n:`CHARLES DICKENS`) SET n += $properties RETURN n - :result:{'entity_type': '"PERSON"', 'description': '"Charles Dickens is a renowned English writer and social critic, best known for his novels depicting Victorian society, including A Christmas Carol."', 'source_id': 'chunk-9e3921da66da5d761ab73cd849af6c43'} -2024-10-29 13:33:23,226 - lightrag - INFO - _do_upsert:query: + :result:{'entity_type': '"PERSON"', 'description': '"Charles Dickens is a renowned English writer and social critic, best known for his novels depicting Victorian society, including A Christmas Carol.""Charles Dickens is the author of A Christmas Carol, a prominent English writer known for his literary contributions in the 19th century."', 'source_id': 'chunk-9e3921da66da5d761ab73cd849af6c43'} +2024-10-30 05:09:05,578 - lightrag - INFO - get_node:query:MATCH (n:`ARTHUR RACKHAM`) RETURN n:result: +2024-10-30 05:09:05,735 - lightrag - INFO - _do_upsert:query: MERGE (n:`ARTHUR RACKHAM`) SET n += $properties RETURN n - :result:{'entity_type': '"PERSON"', 'description': '"Arthur Rackham was an English illustrator known for his imaginative and detailed illustrations for children\'s books, including A Christmas Carol."', 'source_id': 'chunk-9e3921da66da5d761ab73cd849af6c43'} -2024-10-29 13:33:23,497 - lightrag - INFO - _do_upsert:query: + :result:{'entity_type': '"PERSON"', 'description': '"Arthur Rackham is the illustrator of A Christmas Carol, renowned for his distinctive style in illustrating classic literature.""Arthur Rackham was an English illustrator known for his imaginative and detailed illustrations for children\'s books, including A Christmas Carol."', 'source_id': 'chunk-9e3921da66da5d761ab73cd849af6c43'} +2024-10-30 05:09:05,896 - lightrag - INFO - get_node:query:MATCH (n:`EBENEZER SCROOGE`) RETURN n:result:"Ebenezer Scrooge is the main character of A Christmas Carol, portrayed as a miserly and greedy old man who experiences a transformation through the visitation of spirits."', 'source_id': 'chunk-c7b10789a9cb0af6c553730b29bd9034chunk-9e3921da66da5d761ab73cd849af6c43'}> +2024-10-30 05:09:06,100 - lightrag - INFO - _do_upsert:query: MERGE (n:`EBENEZER SCROOGE`) SET n += $properties RETURN n - :result:{'entity_type': '"PERSON"', 'description': '"Ebenezer Scrooge is a protagonist who experiences confusion and fear regarding the passage of time and supernatural events, especially concerned about a ghostly visitation.""Ebenezer Scrooge is the main character of A Christmas Carol, portrayed as a miserly and greedy old man who experiences a transformation through the visitation of spirits."', 'source_id': 'chunk-c7b10789a9cb0af6c553730b29bd9034chunk-9e3921da66da5d761ab73cd849af6c43'} -2024-10-29 13:33:23,767 - lightrag - INFO - _do_upsert:query: - MERGE (n:`BOB CRATCHIT`) - SET n += $properties - RETURN n - :result:{'entity_type': '"PERSON"', 'description': '"Bob Cratchit is Scrooge\'s clerk, depicted as a humble family man with limited income but a warm home atmosphere.""Bob Cratchit is Scrooge\'s clerk, who demonstrates a sense of hope and joy, particularly highlighted during Christmas Eve.""Bob Cratchit is Scrooge\'s employee who arrives late to work after celebrating Christmas, displaying a sense of trepidation toward Scrooge.""Bob Cratchit is a character associated with Scrooge, representing the family Scrooge intends to support by sending a turkey.""Bob Cratchit is a character who appears to be the voice of moderation and kindness, attempting to maintain positivity during the family Christmas feast despite Scrooge\'s presence.""Bob Cratchit is depicted as a struggling father, representative of familial love and concern, particularly for his children, including Tiny Tim.""Bob Cratchit is the dedicated clerk of Ebenezer Scrooge, representing the struggles of the working class and the importance of family in A Christmas Carol.""Bob Cratchit is the father of Tiny Tim and the head of the Cratchit family, who expresses joy and gratitude during Christmas dinner.""Bob Cratchit is the father of Tiny Tim, characterized by his kindness and emotional depth, especially in relation to his family\'s struggles.""Bob Cratchit is the father of the Cratchit family, characterized by his warmth and dedication to his family, particularly in caring for Tiny Tim."', 'source_id': 'chunk-83ac129dc9b56f84c46760d153d68e93chunk-503f0bfa5453467c7c61d160a3540ecachunk-90b95db5c53e4364a6bee36b7aa4d70fchunk-b0f459f5af1c3a5e0b92cbe4ee48b77bchunk-1d4b58de5429cd1261370c231c8673e8chunk-d9aac3484185ac66045df92214d245d5chunk-94bea83e7153fc2064aa382b494936a1chunk-7e2e7ebcc19a53b399dc03aded4743e7chunk-9e3921da66da5d761ab73cd849af6c43chunk-19d72c57ae3408758b18d2568e86dc6b'} -2024-10-29 13:33:24,038 - lightrag - INFO - _do_upsert:query: - MERGE (n:`TINY TIM`) + :result:{'entity_type': '"PERSON"', 'description': '"Ebenezer Scrooge is a central character known for his past connections and interactions, especially with Fezziwig and Dick Wilkins.""Ebenezer Scrooge is a protagonist who experiences confusion and fear regarding the passage of time and supernatural events, especially concerned about a ghostly visitation.""Ebenezer Scrooge is the main character of A Christmas Carol, portrayed as a miserly and greedy old man who experiences a transformation through the visitation of spirits.""Ebenezer Scrooge is the main character of A Christmas Carol, depicted as a miserly and cold-hearted man who undergoes a significant transformation.""Ebenezer Scrooge is the main character who experiences a profound transformation through his encounters with supernatural entities."', 'source_id': 'chunk-c7b10789a9cb0af6c553730b29bd9034chunk-8bc1edd983869352d14cf0886a9175a7chunk-9e3921da66da5d761ab73cd849af6c43'} +2024-10-30 05:09:06,254 - lightrag - INFO - get_node:query:MATCH (n:`BOB CRATCHIT`) RETURN n:result:"Bob Cratchit is Scrooge\'s clerk, who demonstrates a sense of hope and joy, particularly highlighted during Christmas Eve.""Bob Cratchit is Scrooge\'s employee who arrives late to work after celebrating Christmas, displaying a sense of trepidation toward Scrooge.""Bob Cratchit is a character associated with Scrooge, representing the family Scrooge intends to support by sending a turkey.""Bob Cratchit is a character who appears to be the voice of moderation and kindness, attempting to maintain positivity during the family Christmas feast despite Scrooge\'s presence.""Bob Cratchit is depicted as a struggling father, representative of familial love and concern, particularly for his children, including Tiny Tim.""Bob Cratchit is the dedicated clerk of Ebenezer Scrooge, representing the struggles of the working class and the importance of family in A Christmas Carol.""Bob Cratchit is the father of Tiny Tim and the head of the Cratchit family, who expresses joy and gratitude during Christmas dinner.""Bob Cratchit is the father of Tiny Tim, characterized by his kindness and emotional depth, especially in relation to his family\'s struggles.""Bob Cratchit is the father of the Cratchit family, characterized by his warmth and dedication to his family, particularly in caring for Tiny Tim."', 'source_id': 'chunk-83ac129dc9b56f84c46760d153d68e93chunk-503f0bfa5453467c7c61d160a3540ecachunk-90b95db5c53e4364a6bee36b7aa4d70fchunk-b0f459f5af1c3a5e0b92cbe4ee48b77bchunk-1d4b58de5429cd1261370c231c8673e8chunk-d9aac3484185ac66045df92214d245d5chunk-94bea83e7153fc2064aa382b494936a1chunk-7e2e7ebcc19a53b399dc03aded4743e7chunk-9e3921da66da5d761ab73cd849af6c43chunk-19d72c57ae3408758b18d2568e86dc6b'}> +2024-10-30 05:09:06,257 - lightrag - DEBUG - Trigger summary: "BOB CRATCHIT" +2024-10-30 05:09:06,382 - lightrag - INFO - get_node:query:MATCH (n:`TINY TIM`) RETURN n:result:"Tiny Tim is a member of the Cratchit family, who represents the innocence and impact of Scrooge\'s generosity.""Tiny Tim is a symbol of innocence and vulnerability within the Cratchit family, evoking compassion and highlighting the harsh realities of illness and poverty.""Tiny Tim is a symbolic character representing innocence and the impact of loss on family cohesion.""Tiny Tim is a young boy in the Cratchit family, characterized by his spirit and resilience despite being a cripple, symbolizing hope and kindness during Christmas.""Tiny Tim is a young boy in the Cratchit family, who is portrayed as frail yet joyous and embodies the spirit of Christmas.""Tiny Tim is a young child in the Cratchit family, whose health and well-being are of great concern to his family, and he is remembered fondly.""Tiny Tim is depicted as a vulnerable child who participates in the Christmas toast but seems indifferent to it, symbolizing the family\'s struggles.""Tiny Tim, the son of Bob Cratchit, is a sickly child whose positive outlook on life symbolizes hope and compassion in A Christmas Carol."', 'source_id': 'chunk-83ac129dc9b56f84c46760d153d68e93chunk-503f0bfa5453467c7c61d160a3540ecachunk-91572b3cd42786ba4cb2f180ca25cbf4chunk-1d4b58de5429cd1261370c231c8673e8chunk-90b95db5c53e4364a6bee36b7aa4d70fchunk-94bea83e7153fc2064aa382b494936a1chunk-7e2e7ebcc19a53b399dc03aded4743e7chunk-9e3921da66da5d761ab73cd849af6c43chunk-19d72c57ae3408758b18d2568e86dc6b'}> +2024-10-30 05:09:06,385 - lightrag - DEBUG - Trigger summary: "TINY TIM" +2024-10-30 05:09:06,509 - lightrag - INFO - get_node:query:MATCH (n:`MR. FEZZIWIG`) RETURN n:result: +2024-10-30 05:09:06,659 - lightrag - INFO - _do_upsert:query: + MERGE (n:`MR. FEZZIWIG`) SET n += $properties RETURN n - :result:{'entity_type': '"PERSON"', 'description': '"Tiny Tim is Bob Cratchit\'s son, who represents innocence and the impact of Scrooge\'s change of heart.""Tiny Tim is a member of the Cratchit family, who represents the innocence and impact of Scrooge\'s generosity.""Tiny Tim is a symbol of innocence and vulnerability within the Cratchit family, evoking compassion and highlighting the harsh realities of illness and poverty.""Tiny Tim is a symbolic character representing innocence and the impact of loss on family cohesion.""Tiny Tim is a young boy in the Cratchit family, characterized by his spirit and resilience despite being a cripple, symbolizing hope and kindness during Christmas.""Tiny Tim is a young boy in the Cratchit family, who is portrayed as frail yet joyous and embodies the spirit of Christmas.""Tiny Tim is a young child in the Cratchit family, whose health and well-being are of great concern to his family, and he is remembered fondly.""Tiny Tim is depicted as a vulnerable child who participates in the Christmas toast but seems indifferent to it, symbolizing the family\'s struggles.""Tiny Tim, the son of Bob Cratchit, is a sickly child whose positive outlook on life symbolizes hope and compassion in A Christmas Carol."', 'source_id': 'chunk-83ac129dc9b56f84c46760d153d68e93chunk-503f0bfa5453467c7c61d160a3540ecachunk-91572b3cd42786ba4cb2f180ca25cbf4chunk-1d4b58de5429cd1261370c231c8673e8chunk-90b95db5c53e4364a6bee36b7aa4d70fchunk-94bea83e7153fc2064aa382b494936a1chunk-7e2e7ebcc19a53b399dc03aded4743e7chunk-9e3921da66da5d761ab73cd849af6c43chunk-19d72c57ae3408758b18d2568e86dc6b'} -2024-10-29 13:33:24,309 - lightrag - INFO - _do_upsert:query: + :result:{'entity_type': '"PERSON"', 'description': '"Mr. Fezziwig is a kind-hearted merchant and former employer of Scrooge, representing joy and generosity in contrast to Scrooge\'s character.""Mr. Fezziwig is a kind-hearted old merchant who served as a mentor to Scrooge, representing generosity and the joy of Christmas through his festive parties."', 'source_id': 'chunk-9e3921da66da5d761ab73cd849af6c43'} +2024-10-30 05:09:06,804 - lightrag - INFO - get_node:query:MATCH (n:`GHOST OF CHRISTMAS PAST`) RETURN n:result:"The Ghost of Christmas Past is a supernatural entity that aids Scrooge in reflecting on his past experiences and emotions."', 'source_id': 'chunk-bb21d58d36c6306fd8810ddd51c4a971chunk-9e3921da66da5d761ab73cd849af6c43'}> +2024-10-30 05:09:06,962 - lightrag - INFO - _do_upsert:query: MERGE (n:`GHOST OF CHRISTMAS PAST`) SET n += $properties RETURN n - :result:{'entity_type': '"EVENT"', 'description': '"The Ghost of Christmas Past is a supernatural character that shows Scrooge his past, helping him understand the roots of his current miserliness.""The Ghost of Christmas Past is a supernatural entity that aids Scrooge in reflecting on his past experiences and emotions."', 'source_id': 'chunk-bb21d58d36c6306fd8810ddd51c4a971chunk-9e3921da66da5d761ab73cd849af6c43'} -2024-10-29 13:33:24,576 - lightrag - INFO - _do_upsert:query: + :result:{'entity_type': '"EVENT"', 'description': '"The Ghost of Christmas Past is a supernatural character that shows Scrooge his past, helping him understand the roots of his current miserliness.""The Ghost of Christmas Past is a supernatural entity that aids Scrooge in reflecting on his past experiences and emotions.""The Ghost of Christmas Past is one of the spirits in A Christmas Carol that shows Scrooge his past, prompting reflection and change.""The Ghost of Christmas Past represents a spirit that guides Scrooge to revisit and reflect on his past experiences and memories."', 'source_id': 'chunk-9e3921da66da5d761ab73cd849af6c43chunk-bb21d58d36c6306fd8810ddd51c4a971'} +2024-10-30 05:09:07,105 - lightrag - INFO - get_node:query:MATCH (n:`GHOST OF CHRISTMAS PRESENT`) RETURN n:result:"The Ghost of Christmas Present is a spirit that reveals to Scrooge the joys and struggles of the present Christmas season, emphasizing generosity and compassion."', 'source_id': 'chunk-843b5b2f944c7413d9ca876e2e2f151fchunk-9e3921da66da5d761ab73cd849af6c43'}> +2024-10-30 05:09:07,251 - lightrag - INFO - _do_upsert:query: MERGE (n:`GHOST OF CHRISTMAS PRESENT`) SET n += $properties RETURN n - :result:{'entity_type': '"EVENT"', 'description': '"The Ghost of Christmas Present is a spirit that embodies generosity and abundance, leading Scrooge to self-reflection and understanding.""The Ghost of Christmas Present is a spirit that reveals to Scrooge the joys and struggles of the present Christmas season, emphasizing generosity and compassion."', 'source_id': 'chunk-843b5b2f944c7413d9ca876e2e2f151fchunk-9e3921da66da5d761ab73cd849af6c43'} -2024-10-29 13:33:24,851 - lightrag - INFO - _do_upsert:query: + :result:{'entity_type': '"EVENT"', 'description': '"The Ghost of Christmas Present is a spirit that embodies generosity and abundance, leading Scrooge to self-reflection and understanding.""The Ghost of Christmas Present is a spirit that reveals to Scrooge the joys and struggles of the present Christmas season, emphasizing generosity and compassion.""The Ghost of Christmas Present is a spirit that represents generosity and joy, playing a pivotal role in teaching Scrooge valuable lessons about kindness and the Christmas spirit.""The Ghost of Christmas Present is a spirit that reveals the current struggles and joys of others, influencing Scrooge\'s perspective."', 'source_id': 'chunk-9e3921da66da5d761ab73cd849af6c43chunk-843b5b2f944c7413d9ca876e2e2f151f'} +2024-10-30 05:09:07,415 - lightrag - INFO - get_node:query:MATCH (n:`GHOST OF CHRISTMAS YET TO COME`) RETURN n:result:"The Ghost of Christmas Yet to Come is an event within the story that signifies Scrooge\'s confrontation with the future consequences of his actions."', 'source_id': 'chunk-9e3921da66da5d761ab73cd849af6c43chunk-02baee20cc9463dbe08170a8e1043e32'}> +2024-10-30 05:09:07,608 - lightrag - INFO - _do_upsert:query: MERGE (n:`GHOST OF CHRISTMAS YET TO COME`) SET n += $properties RETURN n - :result:{'entity_type': '"EVENT"', 'description': '"The Ghost of Christmas Yet to Come is an apparition that presents Scrooge with a grim vision of his possible future if he doesn\'t change his ways.""The Ghost of Christmas Yet to Come is an event within the story that signifies Scrooge\'s confrontation with the future consequences of his actions."', 'source_id': 'chunk-9e3921da66da5d761ab73cd849af6c43chunk-02baee20cc9463dbe08170a8e1043e32'} -2024-10-29 13:33:25,124 - lightrag - INFO - _do_upsert:query: + :result:{'entity_type': '"EVENT"', 'description': '"The Ghost of Christmas Yet to Come is a foreboding spirit that shows Scrooge the potential consequences of his actions if he does not change.""The Ghost of Christmas Yet to Come is an apparition that presents Scrooge with a grim vision of his possible future if he doesn\'t change his ways.""The Ghost of Christmas Yet to Come is an event within the story that signifies Scrooge\'s confrontation with the future consequences of his actions.""The Ghost of Christmas Yet to Come signifies a pivotal moment where Scrooge is confronted with the potential futures resulting from his life choices."', 'source_id': 'chunk-02baee20cc9463dbe08170a8e1043e32chunk-9e3921da66da5d761ab73cd849af6c43'} +2024-10-30 05:09:07,780 - lightrag - INFO - get_node:query:MATCH (n:`FRED`) RETURN n:result:"Fred is Scrooge\'s nephew who expresses admiration for his uncle and proposes a toast in his honor during a Christmas gathering.""Fred is Scrooge\'s nephew, mentioned in the context of Scrooge\'s visit to his house.""Fred is Scrooge\'s nephew, representing the warmth and joy of family that Scrooge initially rejects.""Fred is Scrooge\'s niece by marriage who expresses surprise and warmth at Scrooge\'s unexpected visit for dinner."', 'source_id': 'chunk-8f738cb25d60a7dab782162d9d0a25edchunk-e7637ff18c5ded77a68cce0a87883fadchunk-94bea83e7153fc2064aa382b494936a1chunk-89777b838d5447c7bd1ec11282c4ee89chunk-9e3921da66da5d761ab73cd849af6c43'}> +2024-10-30 05:09:07,925 - lightrag - INFO - _do_upsert:query: MERGE (n:`FRED`) SET n += $properties RETURN n - :result:{'entity_type': '"PERSON"', 'description': '"Fred is Ebenezer Scrooge\'s lively nephew, who embodies the spirit of Christmas and contrasts with Scrooge\'s misanthropy by inviting him to family gatherings.""Fred is Scrooge\'s nephew who expresses admiration for his uncle and proposes a toast in his honor during a Christmas gathering.""Fred is Scrooge\'s nephew, mentioned in the context of Scrooge\'s visit to his house.""Fred is Scrooge\'s nephew, representing the warmth and joy of family that Scrooge initially rejects.""Fred is Scrooge\'s niece by marriage who expresses surprise and warmth at Scrooge\'s unexpected visit for dinner."', 'source_id': 'chunk-8f738cb25d60a7dab782162d9d0a25edchunk-e7637ff18c5ded77a68cce0a87883fadchunk-94bea83e7153fc2064aa382b494936a1chunk-89777b838d5447c7bd1ec11282c4ee89chunk-9e3921da66da5d761ab73cd849af6c43'} -2024-10-29 13:33:25,397 - lightrag - INFO - _do_upsert:query: - MERGE (n:`MR. FEZZIWIG`) - SET n += $properties - RETURN n - :result:{'entity_type': '"PERSON"', 'description': '"Mr. Fezziwig is a kind-hearted old merchant who served as a mentor to Scrooge, representing generosity and the joy of Christmas through his festive parties."', 'source_id': 'chunk-9e3921da66da5d761ab73cd849af6c43'} -2024-10-29 13:33:25,659 - lightrag - INFO - _do_upsert:query: + :result:{'entity_type': '"PERSON"', 'description': '"Fred is Ebenezer Scrooge\'s lively nephew, who embodies the spirit of Christmas and contrasts with Scrooge\'s misanthropy by inviting him to family gatherings.""Fred is Scrooge\'s nephew who expresses admiration for his uncle and proposes a toast in his honor during a Christmas gathering.""Fred is Scrooge\'s nephew, mentioned in the context of Scrooge\'s visit to his house.""Fred is Scrooge\'s nephew, representing the warmth and joy of family that Scrooge initially rejects.""Fred is Scrooge\'s niece by marriage who expresses surprise and warmth at Scrooge\'s unexpected visit for dinner.""Fred is Ebenezer Scrooge\'s nephew, who embodies the spirit of Christmas and represents familial love and joy.""Fred is Scrooge\'s nephew who expresses admiration for Scrooge and raises a toast to his uncle during a Christmas gathering.""Fred is Scrooge\'s nephew, representing familial love and the joy of Christmas gatherings.""Fred is Scrooge\'s nephew, who invites Scrooge to dinner, emphasizing familial connections and the spirit of Christmas.""Fred is Scrooge\'s nephew, who is surprised by Scrooge\'s visit and is depicted as a friendly figure during the Christmas gathering."', 'source_id': 'chunk-e7637ff18c5ded77a68cce0a87883fadchunk-89777b838d5447c7bd1ec11282c4ee89chunk-94bea83e7153fc2064aa382b494936a1chunk-9e3921da66da5d761ab73cd849af6c43chunk-8f738cb25d60a7dab782162d9d0a25ed'} +2024-10-30 05:09:08,067 - lightrag - INFO - get_node:query:MATCH (n:`MRS. CRATCHIT`) RETURN n:result:"Mrs. Cratchit is Bob Cratchit\'s supportive wife, who strives to provide for her family despite their financial struggles and embodies resilience.""Mrs. Cratchit is Bob\'s wife who prepares the Christmas pudding, showcasing her pride and care in family traditions.""Mrs. Cratchit is Bob\'s wife, a supportive mother who manages the household while showing concern for her children\'s well-being.""Mrs. Cratchit is Bob\'s wife, portrayed as making an effort to prepare a festive atmosphere despite their financial struggles.""Mrs. Cratchit is a character who shows affection towards Bob, enhancing the family dynamic.""Mrs. Cratchit is the mother in the family who prepares the meal and shows warmth and attentiveness towards her family members during their Christmas celebration."', 'source_id': 'chunk-503f0bfa5453467c7c61d160a3540ecachunk-b0f459f5af1c3a5e0b92cbe4ee48b77bchunk-91572b3cd42786ba4cb2f180ca25cbf4chunk-1d4b58de5429cd1261370c231c8673e8chunk-7e2e7ebcc19a53b399dc03aded4743e7chunk-9e3921da66da5d761ab73cd849af6c43chunk-19d72c57ae3408758b18d2568e86dc6b'}> +2024-10-30 05:09:08,214 - lightrag - INFO - _do_upsert:query: MERGE (n:`MRS. CRATCHIT`) SET n += $properties RETURN n - :result:{'entity_type': '"PERSON"', 'description': '"Mrs. Cratchit expresses strong disdain for Scrooge, highlighting her feelings towards him during the Christmas festivities.""Mrs. Cratchit is Bob Cratchit\'s supportive wife, who strives to provide for her family despite their financial struggles and embodies resilience.""Mrs. Cratchit is Bob\'s wife who prepares the Christmas pudding, showcasing her pride and care in family traditions.""Mrs. Cratchit is Bob\'s wife, a supportive mother who manages the household while showing concern for her children\'s well-being.""Mrs. Cratchit is Bob\'s wife, portrayed as making an effort to prepare a festive atmosphere despite their financial struggles.""Mrs. Cratchit is a character who shows affection towards Bob, enhancing the family dynamic.""Mrs. Cratchit is the mother in the family who prepares the meal and shows warmth and attentiveness towards her family members during their Christmas celebration."', 'source_id': 'chunk-503f0bfa5453467c7c61d160a3540ecachunk-b0f459f5af1c3a5e0b92cbe4ee48b77bchunk-91572b3cd42786ba4cb2f180ca25cbf4chunk-1d4b58de5429cd1261370c231c8673e8chunk-7e2e7ebcc19a53b399dc03aded4743e7chunk-9e3921da66da5d761ab73cd849af6c43chunk-19d72c57ae3408758b18d2568e86dc6b'} -2024-10-29 13:33:25,931 - lightrag - INFO - _do_upsert:query: + :result:{'entity_type': '"PERSON"', 'description': '"Mrs. Cratchit expresses strong disdain for Scrooge, highlighting her feelings towards him during the Christmas festivities.""Mrs. Cratchit is Bob Cratchit\'s supportive wife, who strives to provide for her family despite their financial struggles and embodies resilience.""Mrs. Cratchit is Bob\'s wife who prepares the Christmas pudding, showcasing her pride and care in family traditions.""Mrs. Cratchit is Bob\'s wife, a supportive mother who manages the household while showing concern for her children\'s well-being.""Mrs. Cratchit is Bob\'s wife, portrayed as making an effort to prepare a festive atmosphere despite their financial struggles.""Mrs. Cratchit is a character who shows affection towards Bob, enhancing the family dynamic.""Mrs. Cratchit is the mother in the family who prepares the meal and shows warmth and attentiveness towards her family members during their Christmas celebration.""Mrs. Cratchit is Bob\'s wife, portrayed as devoted and hardworking, striving to create a joyous atmosphere for her family despite limited resources.""Mrs. Cratchit is Bob\'s wife, proud of her cooking skills, particularly the Christmas pudding, and plays a central role in the family\'s holiday celebration.""Mrs. Cratchit is Bob\'s wife, who expresses care for her family and shares in the emotional moments surrounding Tiny Tim\'s health.""Mrs. Cratchit is portrayed as outspoken and resentful towards Scrooge, yet ultimately participates in the Christmas festivities for her family\'s sake.""Mrs. Cratchit is the mother of the Cratchit family, depicted as nurturing and energetic, managing the Christmas preparations and caring for her children.""Mrs. Cratchit is the wife of Bob Cratchit, who supports her family and embodies warmth and resilience despite their struggles.""Mrs. Cratchit, the wife of Bob, is industrious and caring, focused on the well-being of her family."', 'source_id': 'chunk-7e2e7ebcc19a53b399dc03aded4743e7chunk-91572b3cd42786ba4cb2f180ca25cbf4chunk-b0f459f5af1c3a5e0b92cbe4ee48b77bchunk-19d72c57ae3408758b18d2568e86dc6bchunk-1d4b58de5429cd1261370c231c8673e8chunk-9e3921da66da5d761ab73cd849af6c43chunk-503f0bfa5453467c7c61d160a3540eca'} +2024-10-30 05:09:08,354 - lightrag - INFO - get_node:query:MATCH (n:`BELINDA CRATCHIT`) RETURN n:result:"Belinda Cratchit is one of Bob Cratchit\'s daughters, assisting her mother in laying the dining cloth.""Belinda is a daughter of Bob and Mrs. Cratchit, representing the Cratchit family\'s love and unity during difficult times."', 'source_id': 'chunk-7e2e7ebcc19a53b399dc03aded4743e7chunk-9e3921da66da5d761ab73cd849af6c43chunk-b0f459f5af1c3a5e0b92cbe4ee48b77b'}> +2024-10-30 05:09:08,506 - lightrag - INFO - _do_upsert:query: MERGE (n:`BELINDA CRATCHIT`) SET n += $properties RETURN n - :result:{'entity_type': '"PERSON"', 'description': '"Belinda Cratchit is another daughter in the Cratchit family, depicted as participating in the festive meal by sweetening the apple sauce, showcasing her involvement in family traditions.""Belinda Cratchit is one of Bob Cratchit\'s daughters, assisting her mother in laying the dining cloth.""Belinda is a daughter of Bob and Mrs. Cratchit, representing the Cratchit family\'s love and unity during difficult times."', 'source_id': 'chunk-7e2e7ebcc19a53b399dc03aded4743e7chunk-9e3921da66da5d761ab73cd849af6c43chunk-b0f459f5af1c3a5e0b92cbe4ee48b77b'} -2024-10-29 13:33:26,201 - lightrag - INFO - _do_upsert:query: + :result:{'entity_type': '"PERSON"', 'description': '"Belinda Cratchit is another daughter in the Cratchit family, depicted as participating in the festive meal by sweetening the apple sauce, showcasing her involvement in family traditions.""Belinda Cratchit is one of Bob Cratchit\'s daughters, assisting her mother in laying the dining cloth.""Belinda is a daughter of Bob and Mrs. Cratchit, representing the Cratchit family\'s love and unity during difficult times.""Belinda Cratchit is one of Bob\'s daughters, assisting in household tasks and showing a strong familial bond.""Belinda is the daughter of Bob and Mrs. Cratchit, representing the innocence and joyful spirit of the Cratchit family."', 'source_id': 'chunk-b0f459f5af1c3a5e0b92cbe4ee48b77bchunk-9e3921da66da5d761ab73cd849af6c43chunk-7e2e7ebcc19a53b399dc03aded4743e7'} +2024-10-30 05:09:08,651 - lightrag - INFO - get_node:query:MATCH (n:`MARTHA CRATCHIT`) RETURN n:result:"Martha is another daughter of Bob and Mrs. Cratchit, who, like her sister Belinda, symbolizes the warmth and togetherness in the Cratchit household."', 'source_id': 'chunk-7e2e7ebcc19a53b399dc03aded4743e7chunk-9e3921da66da5d761ab73cd849af6c43'}> +2024-10-30 05:09:08,801 - lightrag - INFO - _do_upsert:query: MERGE (n:`MARTHA CRATCHIT`) SET n += $properties RETURN n - :result:{'entity_type': '"PERSON"', 'description': '"Martha Cratchit is a daughter in the Cratchit family who contributes to the household and shows affection for her family, particularly her father Bob.""Martha is another daughter of Bob and Mrs. Cratchit, who, like her sister Belinda, symbolizes the warmth and togetherness in the Cratchit household."', 'source_id': 'chunk-7e2e7ebcc19a53b399dc03aded4743e7chunk-9e3921da66da5d761ab73cd849af6c43'} -2024-10-29 13:33:26,474 - lightrag - INFO - _do_upsert:query: + :result:{'entity_type': '"PERSON"', 'description': '"Martha Cratchit is a daughter in the Cratchit family who contributes to the household and shows affection for her family, particularly her father Bob.""Martha is another daughter of Bob and Mrs. Cratchit, who, like her sister Belinda, symbolizes the warmth and togetherness in the Cratchit household.""Martha Cratchit is a daughter of Bob and Mrs. Cratchit, working as an apprentice at a milliner\'s and looking forward to the holiday for a good rest.""Martha is another daughter of Bob and Mrs. Cratchit, who shows love and care for her family."', 'source_id': 'chunk-7e2e7ebcc19a53b399dc03aded4743e7chunk-9e3921da66da5d761ab73cd849af6c43chunk-19d72c57ae3408758b18d2568e86dc6b'} +2024-10-30 05:09:08,943 - lightrag - INFO - get_node:query:MATCH (n:`JOE`) RETURN n:result:"Joe is a marine-store dealer depicted as receiving stolen goods, illustrating the consequences of crime and the darker sides of society.""Joe is portrayed as a character engaged in a conversation about the deceased, displaying a mix of humor and practicality in dealing with the possessions of the dead."', 'source_id': 'chunk-89777b838d5447c7bd1ec11282c4ee89chunk-9e3921da66da5d761ab73cd849af6c43chunk-e1f29eeadc1d8ab46dc8a0bbd3c56b64'}> +2024-10-30 05:09:09,098 - lightrag - INFO - _do_upsert:query: MERGE (n:`JOE`) SET n += $properties RETURN n - :result:{'entity_type': '"PERSON"', 'description': '"Joe is a character engaged in a conversation, displaying curiosity and a sense of humor regarding a situation related to \'bed-curtains\'.""Joe is a marine-store dealer depicted as receiving stolen goods, illustrating the consequences of crime and the darker sides of society.""Joe is portrayed as a character engaged in a conversation about the deceased, displaying a mix of humor and practicality in dealing with the possessions of the dead."', 'source_id': 'chunk-89777b838d5447c7bd1ec11282c4ee89chunk-9e3921da66da5d761ab73cd849af6c43chunk-e1f29eeadc1d8ab46dc8a0bbd3c56b64'} -2024-10-29 13:33:26,752 - lightrag - INFO - _do_upsert:query: + :result:{'entity_type': '"PERSON"', 'description': '"Joe is a character engaged in a conversation, displaying curiosity and a sense of humor regarding a situation related to \'bed-curtains\'.""Joe is a marine-store dealer depicted as receiving stolen goods, illustrating the consequences of crime and the darker sides of society.""Joe is portrayed as a character engaged in a conversation about the deceased, displaying a mix of humor and practicality in dealing with the possessions of the dead.""Joe is a character who interacts with others, demonstrating a sense of curiosity and disbelief regarding certain situations and comments.""Joe is a marine-store dealer and receiver of stolen goods, indicative of the darker, more unscrupulous elements of society.""Joe is an old character who engages in conversation about the deceased man\'s belongings, revealing his pragmatic and somewhat cynical perspective on life and death."', 'source_id': 'chunk-e1f29eeadc1d8ab46dc8a0bbd3c56b64chunk-9e3921da66da5d761ab73cd849af6c43chunk-89777b838d5447c7bd1ec11282c4ee89'} +2024-10-30 05:09:09,245 - lightrag - INFO - get_node:query:MATCH (n:`GHOST OF JACOB MARLEY`) RETURN n:result: +2024-10-30 05:09:09,388 - lightrag - INFO - _do_upsert:query: MERGE (n:`GHOST OF JACOB MARLEY`) SET n += $properties RETURN n - :result:{'entity_type': '"EVENT"', 'description': '"The Ghost of Jacob Marley is Scrooge\'s deceased business partner who returns as a spirit to warn Scrooge about the consequences of his life choices and to encourage change."', 'source_id': 'chunk-9e3921da66da5d761ab73cd849af6c43'} -2024-10-29 13:33:27,022 - lightrag - INFO - _do_upsert:query: + :result:{'entity_type': '"EVENT"', 'description': '"The Ghost of Jacob Marley is Scrooge\'s deceased business partner who returns as a spirit to warn Scrooge about the consequences of his life choices and to encourage change.""The Ghost of Jacob Marley is the specter of Scrooge\'s former business partner, who warns Scrooge to change his ways."', 'source_id': 'chunk-9e3921da66da5d761ab73cd849af6c43'} +2024-10-30 05:09:09,529 - lightrag - INFO - get_node:query:MATCH (n:`FAN`) RETURN n:result: +2024-10-30 05:09:09,672 - lightrag - INFO - _do_upsert:query: MERGE (n:`FAN`) SET n += $properties RETURN n - :result:{'entity_type': '"PERSON"', 'description': '"Fan is Scrooge\'s caring sister who represents innocence and love, showcasing a more tender side of Scrooge’s past."', 'source_id': 'chunk-9e3921da66da5d761ab73cd849af6c43'} -2024-10-29 13:33:27,295 - lightrag - INFO - _do_upsert:query: + :result:{'entity_type': '"PERSON"', 'description': '"Fan is Ebenezer Scrooge\'s sister, who represents love and kindness from Scrooge\'s past, influencing his character development.""Fan is Scrooge\'s caring sister who represents innocence and love, showcasing a more tender side of Scrooge’s past.""Fan is Scrooge\'s younger sister, who brings joy and the promise of a happier home, reflecting on their childhood relationship."', 'source_id': 'chunk-c6c248858d1b13ab7ee9ca13c1aeed6bchunk-9e3921da66da5d761ab73cd849af6c43'} +2024-10-30 05:09:09,815 - lightrag - INFO - get_node:query:MATCH (n:`MRS. FEZZIWIG`) RETURN n:result:"Mrs. Fezziwig is the kind partner of Mr. Fezziwig, contributing to the festive atmosphere of their celebrations, emphasizing the importance of joyous gatherings.""Mrs. Fezziwig is the wife of Fezziwig, joining him in celebrations and dances, embodying warmth and partnership.""Mrs. Fezziwig is the wife of Fezziwig, participating in the dance, representing companionship and festive cheer."', 'source_id': 'chunk-b2f98bc7abb0c67d4c86055c7fd72218chunk-89777b838d5447c7bd1ec11282c4ee89chunk-9e3921da66da5d761ab73cd849af6c43chunk-8bc1edd983869352d14cf0886a9175a7'}> +2024-10-30 05:09:09,963 - lightrag - INFO - _do_upsert:query: MERGE (n:`MRS. FEZZIWIG`) SET n += $properties RETURN n - :result:{'entity_type': '"PERSON"', 'description': '"Mrs. Fezziwig is Fezziwig\'s partner at the domestic ball, contributing to the festive atmosphere alongside her husband.""Mrs. Fezziwig is the kind partner of Mr. Fezziwig, contributing to the festive atmosphere of their celebrations, emphasizing the importance of joyous gatherings.""Mrs. Fezziwig is the wife of Fezziwig, joining him in celebrations and dances, embodying warmth and partnership.""Mrs. Fezziwig is the wife of Fezziwig, participating in the dance, representing companionship and festive cheer."', 'source_id': 'chunk-b2f98bc7abb0c67d4c86055c7fd72218chunk-89777b838d5447c7bd1ec11282c4ee89chunk-9e3921da66da5d761ab73cd849af6c43chunk-8bc1edd983869352d14cf0886a9175a7'} -2024-10-29 13:33:27,562 - lightrag - INFO - _do_upsert:query: + :result:{'entity_type': '"PERSON"', 'description': '"Mrs. Fezziwig is Fezziwig\'s partner at the domestic ball, contributing to the festive atmosphere alongside her husband.""Mrs. Fezziwig is the kind partner of Mr. Fezziwig, contributing to the festive atmosphere of their celebrations, emphasizing the importance of joyous gatherings.""Mrs. Fezziwig is the wife of Fezziwig, joining him in celebrations and dances, embodying warmth and partnership.""Mrs. Fezziwig is the wife of Fezziwig, participating in the dance, representing companionship and festive cheer.""Mrs. Fezziwig is noted for her smile and participation in the festivities, particularly in dancing with Fezziwig.""Mrs. Fezziwig is the partner of Mr. Fezziwig, known for her warmth and joyous nature during Christmas celebrations.""Mrs. Fezziwig partners with Fezziwig in hosting the domestic ball, contributing to the warmth and cheer of the event."', 'source_id': 'chunk-b2f98bc7abb0c67d4c86055c7fd72218chunk-8bc1edd983869352d14cf0886a9175a7chunk-9e3921da66da5d761ab73cd849af6c43chunk-89777b838d5447c7bd1ec11282c4ee89'} +2024-10-30 05:09:10,105 - lightrag - INFO - get_node:query:MATCH (n:`FEZZIWIG`) RETURN n:result:"Fezziwig is a figure representing a cheerful and jovial employer who organizes lively Christmas festivities for his employees.""Fezziwig is a jovial figure from Scrooge\'s past, known for his kind-heartedness and as a former employer who embodies the spirit of Christmas.""Fezziwig is depicted as a joyful character who dances with his wife and embodies the spirit of Christmas."', 'source_id': 'chunk-b2f98bc7abb0c67d4c86055c7fd72218chunk-89777b838d5447c7bd1ec11282c4ee89chunk-c6c248858d1b13ab7ee9ca13c1aeed6bchunk-8bc1edd983869352d14cf0886a9175a7'}> +2024-10-30 05:09:10,272 - lightrag - INFO - _do_upsert:query: MERGE (n:`FEZZIWIG`) SET n += $properties RETURN n - :result:{'entity_type': '"PERSON"', 'description': '"Fezziwig is a character noted for his role during a domestic ball, providing a joyful atmosphere and exemplifying kindness and generosity.""Fezziwig is a figure representing a cheerful and jovial employer who organizes lively Christmas festivities for his employees.""Fezziwig is a jovial figure from Scrooge\'s past, known for his kind-heartedness and as a former employer who embodies the spirit of Christmas.""Fezziwig is depicted as a joyful character who dances with his wife and embodies the spirit of Christmas."', 'source_id': 'chunk-b2f98bc7abb0c67d4c86055c7fd72218chunk-89777b838d5447c7bd1ec11282c4ee89chunk-c6c248858d1b13ab7ee9ca13c1aeed6bchunk-8bc1edd983869352d14cf0886a9175a7'} -2024-10-29 13:33:27,700 - lightrag - DEBUG - Trigger summary: "SCROOGE" -2024-10-29 13:33:27,941 - lightrag - INFO - _do_upsert:query: + :result:{'entity_type': '"PERSON"', 'description': '"Fezziwig is a character known for hosting a domestic ball that brings joy and merriment to the participants, showcasing his ability to create happiness.""Fezziwig is a character noted for his role during a domestic ball, providing a joyful atmosphere and exemplifying kindness and generosity.""Fezziwig is a figure representing a cheerful and jovial employer who organizes lively Christmas festivities for his employees.""Fezziwig is a jovial figure from Scrooge\'s past, known for his kind-heartedness and as a former employer who embodies the spirit of Christmas.""Fezziwig is depicted as a joyful character who dances with his wife and embodies the spirit of Christmas.""Fezziwig is a joyful and lively character who dances with Mrs. Fezziwig, embodying the festive spirit of Christmas.""Fezziwig is presented as Scrooge\'s former employer, known for his jovial nature and generous spirit, who plays a significant role in Scrooge\'s memories.""Fezziwig is the owner of a business where festive celebrations take place, known for his jovial character and ability to create a lively atmosphere."', 'source_id': 'chunk-b2f98bc7abb0c67d4c86055c7fd72218chunk-c6c248858d1b13ab7ee9ca13c1aeed6bchunk-89777b838d5447c7bd1ec11282c4ee89chunk-8bc1edd983869352d14cf0886a9175a7'} +2024-10-30 05:09:10,424 - lightrag - INFO - get_node:query:MATCH (n:`SCROOGE`) RETURN n:result:chunk-b2f98bc7abb0c67d4c86055c7fd72218chunk-91614df5cb74cbe5e109a338a82041e9chunk-8f738cb25d60a7dab782162d9d0a25edchunk-e7637ff18c5ded77a68cce0a87883fadchunk-d9aac3484185ac66045df92214d245d5chunk-90b95db5c53e4364a6bee36b7aa4d70fchunk-89777b838d5447c7bd1ec11282c4ee89chunk-c6c248858d1b13ab7ee9ca13c1aeed6bchunk-5dac41b3f9eeaf794f0147400b1718cdchunk-773d0df1dd25c356f7b771d780583e09chunk-843b5b2f944c7413d9ca876e2e2f151fchunk-f1a4fbcf1ed86864b9bfd5e8dba4c683chunk-359187e7571bda4b0b08b2e0b6581e52chunk-503f0bfa5453467c7c61d160a3540ecachunk-9c43dac2fcd5b578242d907ea6f8fc7bchunk-b0f459f5af1c3a5e0b92cbe4ee48b77bchunk-1aa50206d02ed89418f65f97c6441d1cchunk-54bdd22db1f84a965b5f4c06c9216d8dchunk-cb661c37436355ccec2769b1d0350c5fchunk-90d5764e301321c087f5a8f78b73a145chunk-91572b3cd42786ba4cb2f180ca25cbf4chunk-da2472b4ef2a535b62908f14d0fb0ca9chunk-99b0ec7f7e006561352b5d65e849611dchunk-43c9bee23adfa77aa9dedd22401bba7dchunk-83ac129dc9b56f84c46760d153d68e93chunk-e1f29eeadc1d8ab46dc8a0bbd3c56b64chunk-8590d9263cd2cd4fa583c432fc54e6c3chunk-02baee20cc9463dbe08170a8e1043e32chunk-94bea83e7153fc2064aa382b494936a1chunk-74e2466de2f67fd710ef2f20c0a8d9e0chunk-19d72c57ae3408758b18d2568e86dc6b'}> +2024-10-30 05:09:10,427 - lightrag - DEBUG - Trigger summary: "SCROOGE" +2024-10-30 05:09:10,558 - lightrag - INFO - get_node:query:MATCH (n:`MARLEY`) RETURN n:result:"Marley is Scrooge\'s deceased partner whose death is emphasized, and who impacts Scrooge\'s story through memories and reflections.""Marley is a character who, although only mentioned, has had a significant influence on Scrooge\'s life and perspective, representing his past connections.""Marley is a deceased character whose ghost appears to Scrooge, representing regret and the consequences of a life led without compassion."', 'source_id': 'chunk-d9aac3484185ac66045df92214d245d5chunk-843b5b2f944c7413d9ca876e2e2f151fchunk-89777b838d5447c7bd1ec11282c4ee89chunk-9c43dac2fcd5b578242d907ea6f8fc7b'}> +2024-10-30 05:09:10,709 - lightrag - INFO - _do_upsert:query: MERGE (n:`MARLEY`) SET n += $properties RETURN n - :result:{'entity_type': '"PERSON"', 'description': '"Marley is Scrooge\'s deceased business partner, whose spectral presence looms over Scrooge, evoking themes of regret and the supernatural.""Marley is Scrooge\'s deceased partner whose death is emphasized, and who impacts Scrooge\'s story through memories and reflections.""Marley is a character who, although only mentioned, has had a significant influence on Scrooge\'s life and perspective, representing his past connections.""Marley is a deceased character whose ghost appears to Scrooge, representing regret and the consequences of a life led without compassion."', 'source_id': 'chunk-d9aac3484185ac66045df92214d245d5chunk-843b5b2f944c7413d9ca876e2e2f151fchunk-89777b838d5447c7bd1ec11282c4ee89chunk-9c43dac2fcd5b578242d907ea6f8fc7b'} -2024-10-29 13:33:28,214 - lightrag - INFO - _do_upsert:query: - MERGE (n:`CHRISTMAS`) + :result:{'entity_type': '"PERSON"', 'description': '"Marley is Scrooge\'s deceased business partner whose presence looms over the story, symbolizing the consequences of a life similar to Scrooge\'s.""Marley is Scrooge\'s deceased business partner, whose death is a significant event that sets the tone for the story.""Marley is Scrooge\'s deceased business partner, whose death is mentioned as impactful, having passed seven years prior to the events in the text.""Marley is Scrooge\'s deceased business partner, whose spectral presence looms over Scrooge, evoking themes of regret and the supernatural.""Marley is Scrooge\'s deceased partner whose death is emphasized, and who impacts Scrooge\'s story through memories and reflections.""Marley is a character who, although only mentioned, has had a significant influence on Scrooge\'s life and perspective, representing his past connections.""Marley is a deceased character whose ghost appears to Scrooge, representing regret and the consequences of a life led without compassion.""Marley is depicted as a ghost, having a pigtail, waistcoat, tights, and boots, and is central to Scrooge\'s haunting experience."', 'source_id': 'chunk-d9aac3484185ac66045df92214d245d5chunk-5dac41b3f9eeaf794f0147400b1718cdchunk-89777b838d5447c7bd1ec11282c4ee89chunk-9c43dac2fcd5b578242d907ea6f8fc7bchunk-843b5b2f944c7413d9ca876e2e2f151f'} +2024-10-30 05:09:10,852 - lightrag - INFO - get_node:query:MATCH (n:`CHRISTMAS`) RETURN n:result:"Christmas is a festive occasion that has led to a joyful transformation in Scrooge\'s character and actions.""Christmas is a festive time celebrated by the Cratchit family, symbolizing joy, family togetherness, and generosity.""Christmas is a significant holiday that serves as the backdrop for Scrooge\'s transformation and the events that unfold during the narrative.""Christmas is a significant holiday that triggers Scrooge\'s memories and reflections on joy, loneliness, and his past.""Christmas is central to the text, symbolizing generosity, charity, and warmth that Scrooge rejects.""Christmas is depicted as a festive season when charity and social duty are emphasized, contrasting with Scrooge\'s values.""Christmas is depicted as a time associated with joy and abundance, contrasting with Scrooge\'s initial views.""Christmas is depicted as a time of joy and communal spirit, marked by people\'s activities and interactions in the streets.""Christmas is depicted as a time of joy and generosity, contrasting sharply with Scrooge\'s past behavior and current solitude.""Christmas is portrayed as a festive time that Scrooge dismisses, emphasizing the contrast between joy and his miserable attitude.""Christmas is portrayed as a time of joy, reflection, and connection, emphasizing the positive impact of the holiday spirit on individuals and communities.""Christmas is presented as a time for merriment and social gatherings, which Scrooge\'s nephew advocates for despite his uncle\'s opposition.""Christmas is the central holiday during which the events unfold, leading to significant character transformations and themes of generosity.""Christmas is the season during which festive activities and celebrations are occurring, including dances and gatherings.""Christmas represents a time of reflection and change for Scrooge, emphasizing themes of redemption.""Christmas serves as a thematic backdrop for the story, symbolizing redemption, generosity, and the spirit of giving."', 'source_id': 'chunk-91614df5cb74cbe5e109a338a82041e9chunk-503f0bfa5453467c7c61d160a3540ecachunk-773d0df1dd25c356f7b771d780583e09chunk-8f738cb25d60a7dab782162d9d0a25edchunk-e7637ff18c5ded77a68cce0a87883fadchunk-8590d9263cd2cd4fa583c432fc54e6c3chunk-54bdd22db1f84a965b5f4c06c9216d8dchunk-02baee20cc9463dbe08170a8e1043e32chunk-90d5764e301321c087f5a8f78b73a145chunk-91572b3cd42786ba4cb2f180ca25cbf4chunk-1d4b58de5429cd1261370c231c8673e8chunk-da2472b4ef2a535b62908f14d0fb0ca9chunk-94bea83e7153fc2064aa382b494936a1chunk-89777b838d5447c7bd1ec11282c4ee89chunk-99b0ec7f7e006561352b5d65e849611dchunk-74e2466de2f67fd710ef2f20c0a8d9e0chunk-5dac41b3f9eeaf794f0147400b1718cd'}> +2024-10-30 05:09:10,855 - lightrag - DEBUG - Trigger summary: "CHRISTMAS" +2024-10-30 05:09:10,973 - lightrag - INFO - get_node:query:MATCH (n:`THE WAREHOUSE`) RETURN n:result:"The Warehouse is the setting for Fezziwig\'s celebrations, transformed into a ballroom for the festivities."', 'source_id': 'chunk-c6c248858d1b13ab7ee9ca13c1aeed6bchunk-8bc1edd983869352d14cf0886a9175a7'}> +2024-10-30 05:09:11,119 - lightrag - INFO - _do_upsert:query: + MERGE (n:`THE WAREHOUSE`) SET n += $properties RETURN n - :result:{'entity_type': '"EVENT"', 'description': '"Christmas is a festive occasion that brings the Cratchit family together, highlighting themes of love, loss, and remembrance.""Christmas is a festive occasion that has led to a joyful transformation in Scrooge\'s character and actions.""Christmas is a festive time celebrated by the Cratchit family, symbolizing joy, family togetherness, and generosity.""Christmas is a significant holiday that serves as the backdrop for Scrooge\'s transformation and the events that unfold during the narrative.""Christmas is a significant holiday that triggers Scrooge\'s memories and reflections on joy, loneliness, and his past.""Christmas is central to the text, symbolizing generosity, charity, and warmth that Scrooge rejects.""Christmas is depicted as a festive season when charity and social duty are emphasized, contrasting with Scrooge\'s values.""Christmas is depicted as a time associated with joy and abundance, contrasting with Scrooge\'s initial views.""Christmas is depicted as a time of joy and communal spirit, marked by people\'s activities and interactions in the streets.""Christmas is depicted as a time of joy and generosity, contrasting sharply with Scrooge\'s past behavior and current solitude.""Christmas is portrayed as a festive time that Scrooge dismisses, emphasizing the contrast between joy and his miserable attitude.""Christmas is portrayed as a time of joy, reflection, and connection, emphasizing the positive impact of the holiday spirit on individuals and communities.""Christmas is presented as a time for merriment and social gatherings, which Scrooge\'s nephew advocates for despite his uncle\'s opposition.""Christmas is the central holiday during which the events unfold, leading to significant character transformations and themes of generosity.""Christmas is the season during which festive activities and celebrations are occurring, including dances and gatherings.""Christmas represents a time of reflection and change for Scrooge, emphasizing themes of redemption.""Christmas serves as a thematic backdrop for the story, symbolizing redemption, generosity, and the spirit of giving."', 'source_id': 'chunk-91614df5cb74cbe5e109a338a82041e9chunk-503f0bfa5453467c7c61d160a3540ecachunk-773d0df1dd25c356f7b771d780583e09chunk-8f738cb25d60a7dab782162d9d0a25edchunk-e7637ff18c5ded77a68cce0a87883fadchunk-8590d9263cd2cd4fa583c432fc54e6c3chunk-54bdd22db1f84a965b5f4c06c9216d8dchunk-02baee20cc9463dbe08170a8e1043e32chunk-90d5764e301321c087f5a8f78b73a145chunk-91572b3cd42786ba4cb2f180ca25cbf4chunk-1d4b58de5429cd1261370c231c8673e8chunk-da2472b4ef2a535b62908f14d0fb0ca9chunk-94bea83e7153fc2064aa382b494936a1chunk-89777b838d5447c7bd1ec11282c4ee89chunk-99b0ec7f7e006561352b5d65e849611dchunk-74e2466de2f67fd710ef2f20c0a8d9e0chunk-5dac41b3f9eeaf794f0147400b1718cd'} -2024-10-29 13:33:28,486 - lightrag - INFO - _do_upsert:query: - MERGE (n:`THE PLUMP SISTER`) + :result:{'entity_type': '"ORGANIZATION"', 'description': '"The Warehouse is a specific location where Scrooge had previously apprenticed and holds significant memories for him.""The Warehouse is the setting for Fezziwig\'s celebrations, transformed into a ballroom for the festivities.""The Warehouse is the place of business shared by Scrooge and Marley, a symbol of their partnership in life and business.""The Warehouse serves as the setting for Scrooge\'s memories of Fezziwig\'s jovial nature and the lively gatherings during his apprenticeship."', 'source_id': 'chunk-c6c248858d1b13ab7ee9ca13c1aeed6bchunk-89777b838d5447c7bd1ec11282c4ee89chunk-8bc1edd983869352d14cf0886a9175a7'} +2024-10-30 05:09:11,263 - lightrag - INFO - get_node:query:MATCH (n:`THE WOMAN`) RETURN n:result:"The Woman is a character involved in the dialogue about the deceased\'s belongings, showing a carefree attitude towards their former owner.""The Woman is a character who enters the shop with a heavy bundle and demonstrates a bold and defiant demeanor, eager to take part in the conversation about the deceased\'s belongings."', 'source_id': 'chunk-60fc063c79fc0d4acc91a57e79de04dcchunk-89777b838d5447c7bd1ec11282c4ee89chunk-e1f29eeadc1d8ab46dc8a0bbd3c56b64'}> +2024-10-30 05:09:11,410 - lightrag - INFO - _do_upsert:query: + MERGE (n:`THE WOMAN`) SET n += $properties RETURN n - :result:{'entity_type': '"PERSON"', 'description': '"The Plump Sister is depicted in a light-hearted and humorous context, illustrating the fun of Christmas gatherings.""The plump sister is a character involved in the games, specifically blind man\'s-buff, and captures Topper\'s attention during the festivities."', 'source_id': 'chunk-89777b838d5447c7bd1ec11282c4ee89chunk-43c9bee23adfa77aa9dedd22401bba7d'} -2024-10-29 13:33:28,756 - lightrag - INFO - _do_upsert:query: - MERGE (n:`THE WOMAN`) + :result:{'entity_type': '"PERSON"', 'description': '"The Woman engages in a humorous exchange with Joe about taking down bed-curtains, showcasing lively communication among characters.""The Woman is a character involved in the dialogue about the deceased\'s belongings, showing a carefree attitude towards their former owner.""The Woman is a character who enters the shop with a heavy bundle and demonstrates a bold and defiant demeanor, eager to take part in the conversation about the deceased\'s belongings.""The Woman engages in conversation with Joe, providing light-hearted responses and laughing at the absurdity of their discussions.""The Woman is an unknown character, bold and defiant, who instigates the gathering and discusses the deceased with a lack of reverence.""The Woman is another character who interacts with Joe, demonstrating a lack of reverence for the deceased and a focus on material gain."', 'source_id': 'chunk-60fc063c79fc0d4acc91a57e79de04dcchunk-89777b838d5447c7bd1ec11282c4ee89chunk-e1f29eeadc1d8ab46dc8a0bbd3c56b64'} +2024-10-30 05:09:11,695 - lightrag - INFO - _do_upsert:query: + MERGE (n:`TIM`) SET n += $properties RETURN n - :result:{'entity_type': '"PERSON"', 'description': '"The Woman engages in a humorous exchange with Joe about taking down bed-curtains, showcasing lively communication among characters.""The Woman is a character involved in the dialogue about the deceased\'s belongings, showing a carefree attitude towards their former owner.""The Woman is a character who enters the shop with a heavy bundle and demonstrates a bold and defiant demeanor, eager to take part in the conversation about the deceased\'s belongings."', 'source_id': 'chunk-60fc063c79fc0d4acc91a57e79de04dcchunk-89777b838d5447c7bd1ec11282c4ee89chunk-e1f29eeadc1d8ab46dc8a0bbd3c56b64'} -2024-10-29 13:33:29,033 - lightrag - INFO - _do_upsert:query: - MERGE (n:`OLD SCRATCH`) + :result:{'entity_type': '"PERSON"', 'description': '"Tim is mentioned as someone important to Scrooge, indicating familial ties and possibly evoking sympathy and regret from Scrooge\'s character."', 'source_id': 'chunk-89777b838d5447c7bd1ec11282c4ee89'} +2024-10-30 05:09:12,009 - lightrag - INFO - _do_upsert:query: + MERGE (n:`THE LACE TUCKER`) SET n += $properties RETURN n - :result:{'entity_type': '"PERSON"', 'description': '"Old Scratch is mentioned as a figure related to the conversation, symbolizing mischief and humor."', 'source_id': 'chunk-89777b838d5447c7bd1ec11282c4ee89'} -2024-10-29 13:33:29,305 - lightrag - INFO - _do_upsert:query: - MERGE (n:`THE REGISTER`) + :result:{'entity_type': '"EVENT"', 'description': '"The Lace Tucker is a fashionable accessory worn by one of Scrooge\'s Niece\'s sisters, representing the social settings and themes of appearance in the gathering.""The Lace Tucker is a small event within the text, illustrating moments of humor and social interactions among characters."', 'source_id': 'chunk-773d0df1dd25c356f7b771d780583e09chunk-89777b838d5447c7bd1ec11282c4ee89'} +2024-10-30 05:09:12,297 - lightrag - INFO - _do_upsert:query: + MERGE (n:`OLD SCROOGE`) SET n += $properties RETURN n - :result:{'entity_type': '"EVENT"', 'description': '"The Register documents Marley\'s burial, highlighting the formal acknowledgment of his death."', 'source_id': 'chunk-89777b838d5447c7bd1ec11282c4ee89'} -2024-10-29 13:33:29,579 - lightrag - INFO - _do_upsert:query: + :result:{'entity_type': '"PERSON"', 'description': '"Old Scrooge represents an earlier version of Scrooge, depicted in memories or recollections and emphasizing his character\'s history."', 'source_id': 'chunk-89777b838d5447c7bd1ec11282c4ee89'} +2024-10-30 05:09:12,439 - lightrag - INFO - get_node:query:MATCH (n:`THE FUNERAL`) RETURN n:result: +2024-10-30 05:09:12,581 - lightrag - INFO - _do_upsert:query: MERGE (n:`THE FUNERAL`) SET n += $properties RETURN n - :result:{'entity_type': '"EVENT"', 'description': '"The Funeral serves as a significant event reflecting on Marley\'s death, noted for its business-like atmosphere as perceived by Scrooge."', 'source_id': 'chunk-89777b838d5447c7bd1ec11282c4ee89'} -2024-10-29 13:33:29,843 - lightrag - INFO - _do_upsert:query: + :result:{'entity_type': '"EVENT"', 'description': '"The Funeral is a context for conversation among characters, reflecting on mortality and social connections surrounding death.""The Funeral of Marley is a significant event that highlights Scrooge\'s relationship with Marley and sets the tone for their partnership and Scrooge\'s eventual path.""The Funeral serves as a significant event reflecting on Marley\'s death, noted for its business-like atmosphere as perceived by Scrooge."', 'source_id': 'chunk-89777b838d5447c7bd1ec11282c4ee89chunk-f1a4fbcf1ed86864b9bfd5e8dba4c683'} +2024-10-30 05:09:12,721 - lightrag - INFO - get_node:query:MATCH (n:`SCROOGE'S NEPHEW`) RETURN n:result:"Scrooge\'s Nephew is characterized by his contagious laughter and good humor, contrasting with his uncle\'s miserliness.""Scrooge\'s Nephew is portrayed as optimistic about Christmas, emphasizing its positive qualities despite Scrooge\'s negativity.""Scrooge\'s nephew is a character present at the gathering who actively participates in the games and engages with his family."', 'source_id': 'chunk-43c9bee23adfa77aa9dedd22401bba7dchunk-773d0df1dd25c356f7b771d780583e09chunk-74e2466de2f67fd710ef2f20c0a8d9e0chunk-5dac41b3f9eeaf794f0147400b1718cd'}> +2024-10-30 05:09:12,861 - lightrag - INFO - _do_upsert:query: MERGE (n:`SCROOGE'S NEPHEW`) SET n += $properties RETURN n - :result:{'entity_type': '"PERSON"', 'description': '"Scrooge\'s Nephew is a cheerful and optimistic character who represents the spirit of Christmas, opposing Scrooge\'s views.""Scrooge\'s Nephew is characterized by his contagious laughter and good humor, contrasting with his uncle\'s miserliness.""Scrooge\'s Nephew is portrayed as optimistic about Christmas, emphasizing its positive qualities despite Scrooge\'s negativity.""Scrooge\'s nephew is a character present at the gathering who actively participates in the games and engages with his family."', 'source_id': 'chunk-43c9bee23adfa77aa9dedd22401bba7dchunk-773d0df1dd25c356f7b771d780583e09chunk-74e2466de2f67fd710ef2f20c0a8d9e0chunk-5dac41b3f9eeaf794f0147400b1718cd'} -2024-10-29 13:33:30,117 - lightrag - INFO - _do_upsert:query: - MERGE (n:`THE COUNTING-HOUSE`) - SET n += $properties - RETURN n - :result:{'entity_type': '"ORGANIZATION"', 'description': '"The Counting-House is Scrooge\'s place of work, characterized by a gloomy demeanor and an atmosphere that reflects Scrooge\'s character.""The Counting-House is where Scrooge works and is characterized by its cold and unwelcoming environment."', 'source_id': 'chunk-d9aac3484185ac66045df92214d245d5chunk-74e2466de2f67fd710ef2f20c0a8d9e0'} -2024-10-29 13:33:30,388 - lightrag - INFO - _do_upsert:query: - MERGE (n:`THE COLD`) + :result:{'entity_type': '"PERSON"', 'description': '"Scrooge\'s Nephew is a cheerful and optimistic character who challenges Scrooge\'s gloomy outlook on Christmas and life.""Scrooge\'s Nephew is a cheerful and optimistic character who represents the spirit of Christmas, opposing Scrooge\'s views.""Scrooge\'s Nephew is characterized by his contagious laughter and good humor, contrasting with his uncle\'s miserliness.""Scrooge\'s Nephew is portrayed as optimistic about Christmas, emphasizing its positive qualities despite Scrooge\'s negativity.""Scrooge\'s nephew is a character present at the gathering who actively participates in the games and engages with his family.""Scrooge\'s Nephew is a jovial character known for his infectious laughter and optimistic attitude towards Christmas, finding humor in Scrooge\'s ill temper and wealth.""Scrooge\'s Nephew is portrayed as warm-hearted and attempts to engage his uncle in the spirit of Christmas, despite Scrooge\'s rebuff.""Scrooge\'s nephew is portrayed as a joyful character who embodies laughter and good-humor, contrasting with Scrooge\'s initial persona."', 'source_id': 'chunk-91614df5cb74cbe5e109a338a82041e9chunk-74e2466de2f67fd710ef2f20c0a8d9e0chunk-5dac41b3f9eeaf794f0147400b1718cdchunk-43c9bee23adfa77aa9dedd22401bba7dchunk-773d0df1dd25c356f7b771d780583e09'} +2024-10-30 05:09:13,000 - lightrag - INFO - get_node:query:MATCH (n:`COUNTING-HOUSE`) RETURN n:result: +2024-10-30 05:09:13,140 - lightrag - INFO - _do_upsert:query: + MERGE (n:`COUNTING-HOUSE`) SET n += $properties RETURN n - :result:{'entity_type': '"CONCEPT"', 'description': '"The Cold represents the emotional and physical chill that surrounds Scrooge, symbolizing his heartless nature and isolation from others."', 'source_id': 'chunk-74e2466de2f67fd710ef2f20c0a8d9e0'} -2024-10-29 13:33:30,660 - lightrag - INFO - _do_upsert:query: - MERGE (n:`FOG`) + :result:{'entity_type': '"LOCATION"', 'description': '"Scrooge\'s counting-house is the place of his work, characterized by coldness and a lack of warmth or holiday spirit.""The Counting-House is a physical space representing the business environment where Scrooge and Marley engaged in trade but also symbolizes their limited worldview.""The Counting-house is the place where Scrooge conducted his business and represents the limitations of his previous life."', 'source_id': 'chunk-74e2466de2f67fd710ef2f20c0a8d9e0chunk-359187e7571bda4b0b08b2e0b6581e52'} +2024-10-30 05:09:13,417 - lightrag - INFO - _do_upsert:query: + MERGE (n:`BEGGARS`) SET n += $properties RETURN n - :result:{'entity_type': '"GEO"', 'description': '"Fog is a weather condition mentioned that enhances the dreary atmosphere surrounding Scrooge\'s home and workplace.""Fog is a weather phenomenon that adds to the bleak atmosphere, reflecting the obscurity and confusion in Scrooge\'s life."', 'source_id': 'chunk-d9aac3484185ac66045df92214d245d5chunk-74e2466de2f67fd710ef2f20c0a8d9e0'} -2024-10-29 13:33:30,935 - lightrag - INFO - _do_upsert:query: - MERGE (n:`THE CLERK`) + :result:{'entity_type': '"PERSON"', 'description': '"Beggars are individuals who implore Scrooge for charity, symbolizing the lack of compassion and generosity in his character."', 'source_id': 'chunk-74e2466de2f67fd710ef2f20c0a8d9e0'} +2024-10-30 05:09:13,557 - lightrag - INFO - get_node:query:MATCH (n:`CHILDREN`) RETURN n:result:"The Children represent the joyful, carefree aspects of Scrooge\'s past, embodying happiness and the innocence of youth that he has long forgotten."', 'source_id': 'chunk-bb21d58d36c6306fd8810ddd51c4a971chunk-e7637ff18c5ded77a68cce0a87883fad'}> +2024-10-30 05:09:13,699 - lightrag - INFO - _do_upsert:query: + MERGE (n:`CHILDREN`) SET n += $properties RETURN n - :result:{'entity_type': '"PERSON"', 'description': '"The Clerk is a subordinate to Scrooge who serves as a contrast to his boss\'s character, showing warmth and holiday spirit.""The Clerk is an employee of Scrooge, who quietly awaits the end of the workday and represents the working class.""The Clerk works in Scrooge\'s counting-house, depicted as miserable and diminished under Scrooge\'s strict management."', 'source_id': 'chunk-90d5764e301321c087f5a8f78b73a145chunk-74e2466de2f67fd710ef2f20c0a8d9e0chunk-5dac41b3f9eeaf794f0147400b1718cd'} -2024-10-29 13:33:31,204 - lightrag - INFO - _do_upsert:query: - MERGE (n:`CHRISTMAS EVE`) + :result:{'entity_type': '"PERSON"', 'description': '"Children represent innocence and joy, often seen as seeking affection and connection with adults like Scrooge.""The Children represent innocence and purity, highlighted as victims of societal neglect and calling for compassion from Scrooge.""The Children represent the joyful, carefree aspects of Scrooge\'s past, embodying happiness and the innocence of youth that he has long forgotten.""The Children represent innocence and the impact of societal neglect, embodied by Ignorance and Want as personified by the Spirit."', 'source_id': 'chunk-74e2466de2f67fd710ef2f20c0a8d9e0chunk-bb21d58d36c6306fd8810ddd51c4a971chunk-e7637ff18c5ded77a68cce0a87883fad'} +2024-10-30 05:09:13,847 - lightrag - INFO - get_node:query:MATCH (n:`COLD WEATHER`) RETURN n:result: +2024-10-30 05:09:13,990 - lightrag - INFO - _do_upsert:query: + MERGE (n:`COLD WEATHER`) SET n += $properties RETURN n - :result:{'entity_type': '"EVENT"', 'description': '"Christmas Eve is depicted as a significant time, bringing about joyful activities like sliding down snow hills, contrasting with Scrooge\'s dour demeanor.""Christmas Eve is the night before Christmas, serving as the backdrop for the lively celebrations and dances hosted by Fezziwig.""Christmas Eve is the specific time setting in the story, highlighting the contrast between the joy of the holiday and Scrooge\'s negativity."', 'source_id': 'chunk-d9aac3484185ac66045df92214d245d5chunk-8bc1edd983869352d14cf0886a9175a7chunk-74e2466de2f67fd710ef2f20c0a8d9e0'} -2024-10-29 13:33:31,477 - lightrag - INFO - _do_upsert:query: - MERGE (n:`THE CITY`) + :result:{'entity_type': '"GEO"', 'description': '"Cold Weather is noted in the conversation between the businessmen, serving as a backdrop to their trivial interactions.""Cold Weather sets the bleak and unforgiving atmosphere, reflecting Scrooge’s own personality and state of mind."', 'source_id': 'chunk-74e2466de2f67fd710ef2f20c0a8d9e0chunk-f1a4fbcf1ed86864b9bfd5e8dba4c683'} +2024-10-30 05:09:14,130 - lightrag - INFO - get_node:query:MATCH (n:`FOG`) RETURN n:result:"Fog is a weather phenomenon that adds to the bleak atmosphere, reflecting the obscurity and confusion in Scrooge\'s life."', 'source_id': 'chunk-d9aac3484185ac66045df92214d245d5chunk-74e2466de2f67fd710ef2f20c0a8d9e0'}> +2024-10-30 05:09:14,272 - lightrag - INFO - _do_upsert:query: + MERGE (n:`FOG`) SET n += $properties RETURN n - :result:{'entity_type': '"GEO"', 'description': '"The City provides the backdrop for Scrooge\'s story, representing the bustling environment that underscores his loneliness and detachment from society.""The City represents the bustling urban environment where Scrooge reflects on his past, filled with activity and shadowy figures.""The City, from which Scrooge is transported, represents his past life and is contrasted with the open country road that signifies his memories."', 'source_id': 'chunk-bb21d58d36c6306fd8810ddd51c4a971chunk-c6c248858d1b13ab7ee9ca13c1aeed6bchunk-74e2466de2f67fd710ef2f20c0a8d9e0'} -2024-10-29 13:33:31,741 - lightrag - INFO - _do_upsert:query: - MERGE (n:`MR. MARLEY`) + :result:{'entity_type': '"GEO"', 'description': '"Fog is a weather condition mentioned that enhances the dreary atmosphere surrounding Scrooge\'s home and workplace.""Fog is a weather phenomenon that adds to the bleak atmosphere, reflecting the obscurity and confusion in Scrooge\'s life.""Fog represents the obscured visibility and confusion in Scrooge\'s surroundings, enhancing the atmosphere of uncertainty and apprehension.""Fog represents the obscurity and isolation in the environment, mirroring Scrooge’s emotional distance and isolation from society."', 'source_id': 'chunk-74e2466de2f67fd710ef2f20c0a8d9e0chunk-d9aac3484185ac66045df92214d245d5chunk-c7b10789a9cb0af6c553730b29bd9034'} +2024-10-30 05:09:14,552 - lightrag - INFO - _do_upsert:query: + MERGE (n:`COURT`) SET n += $properties RETURN n - :result:{'entity_type': '"PERSON"', 'description': '"Mr. Marley is Scrooge\'s deceased business partner who died seven years ago, representing a connection to Scrooge\'s past and his current miserly outlook."', 'source_id': 'chunk-5dac41b3f9eeaf794f0147400b1718cd'} -2024-10-29 13:33:32,024 - lightrag - INFO - _do_upsert:query: - MERGE (n:`LIBERTY`) + :result:{'entity_type': '"GEO"', 'description': '"The Court is a location described as a space outside Scrooge\'s office where people pass by, emphasizing the contrast between Scrooge\'s inside world and the outside social interactions."', 'source_id': 'chunk-74e2466de2f67fd710ef2f20c0a8d9e0'} +2024-10-30 05:09:14,872 - lightrag - INFO - _do_upsert:query: + MERGE (n:`SCROOGE AND MARLEY'S`) SET n += $properties RETURN n - :result:{'entity_type': '"EVENT"', 'description': '"The discussion around liberality represents a call to generosity and charity during the festive season, which Scrooge rebuffs."', 'source_id': 'chunk-5dac41b3f9eeaf794f0147400b1718cd'} -2024-10-29 13:33:32,300 - lightrag - INFO - _do_upsert:query: - MERGE (n:`PORTLY GENTLEMEN`) + :result:{'entity_type': '"ORGANIZATION"', 'description': '"Scrooge and Marley\'s is the name of the business run by Scrooge, signifying a partnership that existed before Marley’s death."', 'source_id': 'chunk-5dac41b3f9eeaf794f0147400b1718cd'} +2024-10-30 05:09:15,051 - lightrag - INFO - get_node:query:MATCH (n:`CLERK`) RETURN n:result: +2024-10-30 05:09:15,200 - lightrag - INFO - _do_upsert:query: + MERGE (n:`CLERK`) SET n += $properties RETURN n - :result:{'entity_type': '"PERSON"', 'description': '"The Portly Gentlemen are representatives who seek to gather funds for the poor during Christmas, embodying the spirit of generosity that Scrooge rejects."', 'source_id': 'chunk-5dac41b3f9eeaf794f0147400b1718cd'} -2024-10-29 13:33:32,574 - lightrag - INFO - _do_upsert:query: - MERGE (n:`CREDENTIALS`) + :result:{'entity_type': '"PERSON"', 'description': '"The Clerk is a minor character who provides a contrast to Scrooge\'s character, expressing warmth and kindness during the holiday season.""The Clerk is an unnamed character who serves Scrooge, exhibiting a hopeful disposition despite Scrooge\'s ill-tempered management."', 'source_id': 'chunk-5dac41b3f9eeaf794f0147400b1718cdchunk-d9aac3484185ac66045df92214d245d5'} +2024-10-30 05:09:15,474 - lightrag - INFO - _do_upsert:query: + MERGE (n:`THE GENTLEMEN`) SET n += $properties RETURN n - :result:{'entity_type': '"EVENT"', 'description': '"The Credentials refer to the documents presented by the Portly Gentlemen, indicating their legitimacy and purpose in seeking donations from Scrooge."', 'source_id': 'chunk-5dac41b3f9eeaf794f0147400b1718cd'} -2024-10-29 13:33:32,847 - lightrag - INFO - _do_upsert:query: - MERGE (n:`BEDLAM`) + :result:{'entity_type': '"ORGANIZATION"', 'description': '"The Gentlemen are portrayed as representatives who arrive at Scrooge\'s office to collect donations for the poor during Christmas."', 'source_id': 'chunk-5dac41b3f9eeaf794f0147400b1718cd'} +2024-10-30 05:09:15,758 - lightrag - INFO - _do_upsert:query: + MERGE (n:`POOR AND DESTITUTE`) SET n += $properties RETURN n - :result:{'entity_type': '"GEO"', 'description': '"Bedlam is referenced as a metaphorical place for madness, illustrating Scrooge\'s disdain for the cheerful nature of Christmas and his sense of isolation."', 'source_id': 'chunk-5dac41b3f9eeaf794f0147400b1718cd'} -2024-10-29 13:33:33,118 - lightrag - INFO - _do_upsert:query: + :result:{'entity_type': '"CONCEPT"', 'description': '"The Poor and Destitute refer to those in need, highlighting the themes of charity and social responsibility that are emphasized during the Christmas season."', 'source_id': 'chunk-5dac41b3f9eeaf794f0147400b1718cd'} +2024-10-30 05:09:15,894 - lightrag - INFO - get_node:query:MATCH (n:`CHRISTMAS-TIME`) RETURN n:result:"Christmas-time represents the festive season, a recurring theme that evokes memories and emotions in Scrooge’s reflections.""Christmas-time serves as a backdrop for the narrative, emphasizing themes of reflection, mortality, and social interactions."', 'source_id': 'chunk-f1a4fbcf1ed86864b9bfd5e8dba4c683chunk-c6c248858d1b13ab7ee9ca13c1aeed6bchunk-5dac41b3f9eeaf794f0147400b1718cd'}> +2024-10-30 05:09:16,037 - lightrag - INFO - _do_upsert:query: MERGE (n:`CHRISTMAS-TIME`) SET n += $properties RETURN n - :result:{'entity_type': '"EVENT"', 'description': '"Christmas-time is characterized as a period filled with festivities, joy, and community engagement, which Scrooge regards cynically.""Christmas-time represents the festive season, a recurring theme that evokes memories and emotions in Scrooge’s reflections.""Christmas-time serves as a backdrop for the narrative, emphasizing themes of reflection, mortality, and social interactions."', 'source_id': 'chunk-f1a4fbcf1ed86864b9bfd5e8dba4c683chunk-c6c248858d1b13ab7ee9ca13c1aeed6bchunk-5dac41b3f9eeaf794f0147400b1718cd'} -2024-10-29 13:33:33,435 - lightrag - INFO - _do_upsert:query: - MERGE (n:`THE GENTLEMAN`) + :result:{'entity_type': '"EVENT"', 'description': '"Christmas-Time refers to the period surrounding Christmas, laden with connotations of joy, generosity, and family gatherings, which Scrooge vehemently criticizes.""Christmas-time is characterized as a period filled with festivities, joy, and community engagement, which Scrooge regards cynically.""Christmas-time represents the festive season, a recurring theme that evokes memories and emotions in Scrooge’s reflections.""Christmas-time serves as a backdrop for the narrative, emphasizing themes of reflection, mortality, and social interactions.""Christmas-time symbolizes a period of joy and reunion, characterized by scenes of celebration and warmth in the story."', 'source_id': 'chunk-c6c248858d1b13ab7ee9ca13c1aeed6bchunk-5dac41b3f9eeaf794f0147400b1718cdchunk-f1a4fbcf1ed86864b9bfd5e8dba4c683'} +2024-10-30 05:09:16,171 - lightrag - INFO - get_node:query:MATCH (n:`BEDLAM`) RETURN n:result: +2024-10-30 05:09:16,311 - lightrag - INFO - _do_upsert:query: + MERGE (n:`BEDLAM`) SET n += $properties RETURN n - :result:{'entity_type': '"PERSON"', 'description': '"The Gentleman is a character who advocates for helping the poor and trying to raise a fund for those in need during Christmas."', 'source_id': 'chunk-90d5764e301321c087f5a8f78b73a145'} -2024-10-29 13:33:33,711 - lightrag - INFO - _do_upsert:query: - MERGE (n:`THE UNION WORKHOUSES`) + :result:{'entity_type': '"GEO"', 'description': '"Bedlam is referenced as a metaphorical expression of madness, illustrating Scrooge\'s disdain for cheerful attitudes he finds absurd.""Bedlam is referenced as a metaphorical place for madness, illustrating Scrooge\'s disdain for the cheerful nature of Christmas and his sense of isolation."', 'source_id': 'chunk-5dac41b3f9eeaf794f0147400b1718cd'} +2024-10-30 05:09:16,451 - lightrag - INFO - get_node:query:MATCH (n:`THE GENTLEMAN`) RETURN n:result: +2024-10-30 05:09:16,588 - lightrag - INFO - _do_upsert:query: + MERGE (n:`THE GENTLEMAN`) SET n += $properties RETURN n - :result:{'entity_type': '"ORGANIZATION"', 'description': '"The Union Workhouses are institutions mentioned as a means of supporting the poor, still operational during Scrooge\'s time."', 'source_id': 'chunk-90d5764e301321c087f5a8f78b73a145'} -2024-10-29 13:33:33,978 - lightrag - INFO - _do_upsert:query: - MERGE (n:`THE TREADMILL`) + :result:{'entity_type': '"PERSON"', 'description': '"The Gentleman is a character attempting to persuade Scrooge to contribute to charity for the poor during Christmas.""The Gentleman is a character who advocates for helping the poor and trying to raise a fund for those in need during Christmas."', 'source_id': 'chunk-90d5764e301321c087f5a8f78b73a145'} +2024-10-30 05:09:16,866 - lightrag - INFO - _do_upsert:query: + MERGE (n:`THE POOR LAW`) SET n += $properties RETURN n - :result:{'entity_type': '"ORGANIZATION"', 'description': '"The Treadmill is an institution referenced as part of the welfare system that Scrooge acknowledges."', 'source_id': 'chunk-90d5764e301321c087f5a8f78b73a145'} -2024-10-29 13:33:34,258 - lightrag - INFO - _do_upsert:query: - MERGE (n:`THE MAIN STREET`) + :result:{'entity_type': '"ORGANIZATION"', 'description': '"The Poor Law refers to a governmental system in place intended to support the impoverished, which Scrooge references to indicate his views on responsibility and charity."', 'source_id': 'chunk-90d5764e301321c087f5a8f78b73a145'} +2024-10-30 05:09:17,003 - lightrag - INFO - get_node:query:MATCH (n:`THE UNION WORKHOUSES`) RETURN n:result: +2024-10-30 05:09:17,143 - lightrag - INFO - _do_upsert:query: + MERGE (n:`THE UNION WORKHOUSES`) SET n += $properties RETURN n - :result:{'entity_type': '"GEO"', 'description': '"The Main Street is a location described where activity is bustling during the cold season, reflecting the social dynamics of the area."', 'source_id': 'chunk-90d5764e301321c087f5a8f78b73a145'} -2024-10-29 13:33:34,544 - lightrag - INFO - _do_upsert:query: + :result:{'entity_type': '"ORGANIZATION"', 'description': '"The Union Workhouses are facilities that provide aid to the poor, still operational as confirmed by the Gentleman during the discussion with Scrooge.""The Union Workhouses are institutions mentioned as a means of supporting the poor, still operational during Scrooge\'s time."', 'source_id': 'chunk-90d5764e301321c087f5a8f78b73a145'} +2024-10-30 05:09:17,278 - lightrag - INFO - get_node:query:MATCH (n:`THE MANSION HOUSE`) RETURN n:result: +2024-10-30 05:09:17,417 - lightrag - INFO - _do_upsert:query: MERGE (n:`THE MANSION HOUSE`) SET n += $properties RETURN n - :result:{'entity_type': '"ORGANIZATION"', 'description': '"The Mansion House is identified as the residence of the Lord Mayor, a place associated with Christmas festivities and order."', 'source_id': 'chunk-90d5764e301321c087f5a8f78b73a145'} -2024-10-29 13:33:34,816 - lightrag - INFO - _do_upsert:query: + :result:{'entity_type': '"LOCATION"', 'description': '"The Mansion House is identified as the residence of the Lord Mayor, a place associated with Christmas festivities and order.""The Mansion House is the official residence of the Lord Mayor, where festive preparations for Christmas are being made."', 'source_id': 'chunk-90d5764e301321c087f5a8f78b73a145'} +2024-10-30 05:09:17,549 - lightrag - INFO - get_node:query:MATCH (n:`THE POOR`) RETURN n:result: +2024-10-30 05:09:17,688 - lightrag - INFO - _do_upsert:query: MERGE (n:`THE POOR`) SET n += $properties RETURN n - :result:{'entity_type': '"PERSON"', 'description': '"The Poor refers to the individuals in society who are destitute and in need of assistance, often highlighted in discussions about charity during Christmas."', 'source_id': 'chunk-90d5764e301321c087f5a8f78b73a145'} -2024-10-29 13:33:35,092 - lightrag - INFO - _do_upsert:query: - MERGE (n:`CHRISTMAS CAROL`) - SET n += $properties - RETURN n - :result:{'entity_type': '"EVENT"', 'description': '"A Christmas Carol is referenced as a song that Scrooge recalls when thinking about giving and community.""The Christmas Carol is a musical tradition performed during the Christmas season, symbolizing goodwill and festive spirit."', 'source_id': 'chunk-90d5764e301321c087f5a8f78b73a145chunk-8590d9263cd2cd4fa583c432fc54e6c3'} -2024-10-29 13:33:35,356 - lightrag - INFO - _do_upsert:query: - MERGE (n:`THE FOG`) - SET n += $properties - RETURN n - :result:{'entity_type': '"GEO"', 'description': '"The Fog is a weather condition described as thickening around Scrooge, metaphorically representing the gloomy atmosphere surrounding him."', 'source_id': 'chunk-90d5764e301321c087f5a8f78b73a145'} -2024-10-29 13:33:35,625 - lightrag - INFO - _do_upsert:query: - MERGE (n:`THE GAS-PIPES`) - SET n += $properties - RETURN n - :result:{'entity_type': '"ORGANIZATION"', 'description': '"The Gas-pipes are mentioned as undergoing repairs in The Main Street, indicating the infrastructure\'s role in the community during winter."', 'source_id': 'chunk-90d5764e301321c087f5a8f78b73a145'} -2024-10-29 13:33:35,894 - lightrag - INFO - _do_upsert:query: - MERGE (n:`THE LABOURERS`) + :result:{'entity_type': '"PERSON"', 'description': '"The Poor refer to those individuals in society who face economic hardship and are in need of help, as indicated by their absence from the workhouses and their desperate circumstances during the festive season.""The Poor refers to the individuals in society who are destitute and in need of assistance, often highlighted in discussions about charity during Christmas."', 'source_id': 'chunk-90d5764e301321c087f5a8f78b73a145'} +2024-10-30 05:09:17,975 - lightrag - INFO - _do_upsert:query: + MERGE (n:`SCROOGE'S COUNTING-HOUSE`) SET n += $properties RETURN n - :result:{'entity_type': '"ORGANIZATION"', 'description': '"The Labourers refer to the workers repairing the gas-pipes, reflecting the lower working-class experiencing harsh winter conditions."', 'source_id': 'chunk-90d5764e301321c087f5a8f78b73a145'} -2024-10-29 13:33:36,162 - lightrag - INFO - _do_upsert:query: + :result:{'entity_type': '"LOCATION"', 'description': '"Scrooge\'s Counting-House is the workspace of Scrooge where he conducts his business, symbolizing his frugality and solitary nature."', 'source_id': 'chunk-90d5764e301321c087f5a8f78b73a145'} +2024-10-30 05:09:18,110 - lightrag - INFO - get_node:query:MATCH (n:`THE LORD MAYOR`) RETURN n:result: +2024-10-30 05:09:18,250 - lightrag - INFO - _do_upsert:query: MERGE (n:`THE LORD MAYOR`) SET n += $properties RETURN n - :result:{'entity_type': '"PERSON"', 'description': '"The Lord Mayor is a civic leader responsible for overseeing Christmas festivities and ensuring proper celebrations in the town."', 'source_id': 'chunk-90d5764e301321c087f5a8f78b73a145'} -2024-10-29 13:33:36,436 - lightrag - INFO - _do_upsert:query: - MERGE (n:`THE TAILOR`) - SET n += $properties - RETURN n - :result:{'entity_type': '"PERSON"', 'description': '"The Tailor is a character referenced as preparing for Christmas by stirring pudding, illustrating the engagement of tradespeople in holiday traditions."', 'source_id': 'chunk-90d5764e301321c087f5a8f78b73a145'} -2024-10-29 13:33:36,712 - lightrag - INFO - _do_upsert:query: - MERGE (n:`THE PUDDING`) + :result:{'entity_type': '"PERSON"', 'description': '"The Lord Mayor is a civic leader responsible for overseeing Christmas festivities and ensuring proper celebrations in the town.""The Lord Mayor oversees the festivities during Christmas at the Mansion House, representing authority and public celebration."', 'source_id': 'chunk-90d5764e301321c087f5a8f78b73a145'} +2024-10-30 05:09:18,383 - lightrag - INFO - get_node:query:MATCH (n:`CHRISTMAS PUDDING`) RETURN n:result: +2024-10-30 05:09:18,527 - lightrag - INFO - _do_upsert:query: + MERGE (n:`CHRISTMAS PUDDING`) SET n += $properties RETURN n - :result:{'entity_type': '"EVENT"', 'description': '"The Pudding is a traditional dish prepared for Christmas, symbolizing festivity and the warmth of family gatherings."', 'source_id': 'chunk-90d5764e301321c087f5a8f78b73a145'} -2024-10-29 13:33:36,991 - lightrag - INFO - _do_upsert:query: - MERGE (n:`ST. DUNSTAN`) + :result:{'entity_type': '"EVENT"', 'description': '"Christmas Pudding is a dish being prepared for the festive celebration, embodying the spirit of Christmas and family gatherings.""The Christmas Pudding is a significant dish prepared by Mrs. Cratchit, symbolizing the family\'s festive celebration and unity."', 'source_id': 'chunk-503f0bfa5453467c7c61d160a3540ecachunk-90d5764e301321c087f5a8f78b73a145'} +2024-10-30 05:09:18,671 - lightrag - INFO - get_node:query:MATCH (n:`THE GAS-PIPES`) RETURN n:result: +2024-10-30 05:09:18,813 - lightrag - INFO - _do_upsert:query: + MERGE (n:`THE GAS-PIPES`) SET n += $properties RETURN n - :result:{'entity_type': '"PERSON"', 'description': '"St. Dunstan is a historical figure mentioned metaphorically, associated with a legend of confronting evil, reflecting the theme of good versus evil."', 'source_id': 'chunk-90d5764e301321c087f5a8f78b73a145'} -2024-10-29 13:33:37,266 - lightrag - INFO - _do_upsert:query: - MERGE (n:`LONDON`) + :result:{'entity_type': '"ORGANIZATION"', 'description': '"The Gas-Pipes represent the infrastructure of the city, which signifies the industrial and economic activity during the cold winter season.""The Gas-pipes are mentioned as undergoing repairs in The Main Street, indicating the infrastructure\'s role in the community during winter."', 'source_id': 'chunk-90d5764e301321c087f5a8f78b73a145'} +2024-10-30 05:09:18,948 - lightrag - INFO - get_node:query:MATCH (n:`THE CHURCH`) RETURN n:result: +2024-10-30 05:09:19,089 - lightrag - INFO - _do_upsert:query: + MERGE (n:`THE CHURCH`) SET n += $properties RETURN n - :result:{'entity_type': '"GEO"', 'description': '"London serves as the geographical setting for the story, encapsulating the harsh winter atmosphere and the life of its inhabitants during the festive season.""London serves as the setting where the events take place, adding a cultural backdrop to the Christmas gathering."', 'source_id': 'chunk-d9aac3484185ac66045df92214d245d5chunk-43c9bee23adfa77aa9dedd22401bba7d'} -2024-10-29 13:33:37,547 - lightrag - INFO - _do_upsert:query: - MERGE (n:`CLERK`) + :result:{'entity_type': '"ORGANIZATION"', 'description': '"The Church is a location from where the clock chimes are heard, marking the passage of time and contributing to the atmosphere of the scene.""The Church is a place Scrooge visits, indicating his desire to engage in the Christmas spirit and community.""The Church is a place referenced in the context of the community\'s sentiments toward Christmas and social welfare."', 'source_id': 'chunk-cb661c37436355ccec2769b1d0350c5fchunk-8f738cb25d60a7dab782162d9d0a25edchunk-90d5764e301321c087f5a8f78b73a145'} +2024-10-30 05:09:19,227 - lightrag - INFO - get_node:query:MATCH (n:`THE CRATCHIT FAMILY`) RETURN n:result: +2024-10-30 05:09:19,368 - lightrag - INFO - _do_upsert:query: + MERGE (n:`THE CRATCHIT FAMILY`) SET n += $properties RETURN n - :result:{'entity_type': '"PERSON"', 'description': '"The Clerk is an unnamed character who serves Scrooge, exhibiting a hopeful disposition despite Scrooge\'s ill-tempered management."', 'source_id': 'chunk-d9aac3484185ac66045df92214d245d5'} -2024-10-29 13:33:37,822 - lightrag - INFO - _do_upsert:query: - MERGE (n:`FROST`) + :result:{'entity_type': '"ORGANIZATION"', 'description': '"The Cratchit Family consists of Bob, Mrs. Cratchit, Tiny Tim, and their children, characterized by their strong familial bonds and love for one another despite financial struggles.""The Cratchit Family consists of Bob, Mrs. Cratchit, and their children, highlighting themes of familial love and support amidst hardship.""The Cratchit Family is a close-knit family depicted in the text, characterized by love and warmth, celebrating Christmas together despite their difficulties.""The Cratchit Family represents a typical struggling family in the text, highlighting the theme of social disparity during Christmas."', 'source_id': 'chunk-503f0bfa5453467c7c61d160a3540ecachunk-1d4b58de5429cd1261370c231c8673e8chunk-90d5764e301321c087f5a8f78b73a145'} +2024-10-30 05:09:19,506 - lightrag - INFO - get_node:query:MATCH (n:`CHRISTMAS EVE`) RETURN n:result:"Christmas Eve is the night before Christmas, serving as the backdrop for the lively celebrations and dances hosted by Fezziwig.""Christmas Eve is the specific time setting in the story, highlighting the contrast between the joy of the holiday and Scrooge\'s negativity."', 'source_id': 'chunk-d9aac3484185ac66045df92214d245d5chunk-8bc1edd983869352d14cf0886a9175a7chunk-74e2466de2f67fd710ef2f20c0a8d9e0'}> +2024-10-30 05:09:19,648 - lightrag - INFO - _do_upsert:query: + MERGE (n:`CHRISTMAS EVE`) SET n += $properties RETURN n - :result:{'entity_type': '"GEO"', 'description': '"Frost is another atmospheric condition depicted, contributing to the cold and somber feeling of the environment during the story."', 'source_id': 'chunk-d9aac3484185ac66045df92214d245d5'} -2024-10-29 13:33:38,089 - lightrag - INFO - _do_upsert:query: + :result:{'entity_type': '"EVENT"', 'description': '"Christmas Eve is a significant time in the story, marked by celebrations and gatherings led by Fezziwig.""Christmas Eve is depicted as a significant time, bringing about joyful activities like sliding down snow hills, contrasting with Scrooge\'s dour demeanor.""Christmas Eve is the night before Christmas, serving as the backdrop for the lively celebrations and dances hosted by Fezziwig.""Christmas Eve is the specific time setting in the story, highlighting the contrast between the joy of the holiday and Scrooge\'s negativity.""Christmas Eve is the day prior to Christmas, a time that carries festive significance and anticipation in the narrative."', 'source_id': 'chunk-74e2466de2f67fd710ef2f20c0a8d9e0chunk-8bc1edd983869352d14cf0886a9175a7chunk-d9aac3484185ac66045df92214d245d5'} +2024-10-30 05:09:19,783 - lightrag - INFO - get_node:query:MATCH (n:`CAMDEN TOWN`) RETURN n:result:"Camden Town is a location where Bob Cratchit runs home to celebrate Christmas Eve, representing a more joyful and lively setting."', 'source_id': 'chunk-d9aac3484185ac66045df92214d245d5chunk-8f738cb25d60a7dab782162d9d0a25ed'}> +2024-10-30 05:09:19,926 - lightrag - INFO - _do_upsert:query: MERGE (n:`CAMDEN TOWN`) SET n += $properties RETURN n - :result:{'entity_type': '"GEO"', 'description': '"Camden Town is a location mentioned in relation to the logistics of transporting a large turkey.""Camden Town is a location where Bob Cratchit runs home to celebrate Christmas Eve, representing a more joyful and lively setting."', 'source_id': 'chunk-d9aac3484185ac66045df92214d245d5chunk-8f738cb25d60a7dab782162d9d0a25ed'} -2024-10-29 13:33:38,360 - lightrag - INFO - _do_upsert:query: - MERGE (n:`THE GHOST OF MARLEY`) - SET n += $properties - RETURN n - :result:{'entity_type': '"EVENT"', 'description': '"The Ghost of Marley is an event that is anticipated in the narrative, representing Scrooge\'s confrontation with his past and the supernatural."', 'source_id': 'chunk-d9aac3484185ac66045df92214d245d5'} -2024-10-29 13:33:38,634 - lightrag - INFO - _do_upsert:query: - MERGE (n:`KEYHOLE`) + :result:{'entity_type': '"GEO"', 'description': '"Camden Town is a location mentioned as Bob Cratchit\'s home, highlighting the setting of his personal life.""Camden Town is a location mentioned in relation to the logistics of transporting a large turkey.""Camden Town is a location where Bob Cratchit runs home to celebrate Christmas Eve, representing a more joyful and lively setting.""Camden Town is mentioned as a location related to the transportation of a turkey in a humorous context during the holiday season."', 'source_id': 'chunk-d9aac3484185ac66045df92214d245d5chunk-8f738cb25d60a7dab782162d9d0a25ed'} +2024-10-30 05:09:20,061 - lightrag - INFO - get_node:query:MATCH (n:`THE COUNTING-HOUSE`) RETURN n:result:"The Counting-House is where Scrooge works and is characterized by its cold and unwelcoming environment."', 'source_id': 'chunk-d9aac3484185ac66045df92214d245d5chunk-74e2466de2f67fd710ef2f20c0a8d9e0'}> +2024-10-30 05:09:20,201 - lightrag - INFO - _do_upsert:query: + MERGE (n:`THE COUNTING-HOUSE`) SET n += $properties RETURN n - :result:{'entity_type': '"CONCEPT"', 'description': '"The Keyhole is a metaphorical representation of Scrooge\'s perspective and the barriers to his understanding of joy and connection."', 'source_id': 'chunk-d9aac3484185ac66045df92214d245d5'} -2024-10-29 13:33:38,904 - lightrag - INFO - _do_upsert:query: + :result:{'entity_type': '"ORGANIZATION"', 'description': '"The Counting-House is Scrooge\'s place of work, characterized by a gloomy demeanor and an atmosphere that reflects Scrooge\'s character.""The Counting-House is where Scrooge works and is characterized by its cold and unwelcoming environment.""The Counting-House is the place where Scrooge works, reflecting a business environment lacking warmth or joy."', 'source_id': 'chunk-74e2466de2f67fd710ef2f20c0a8d9e0chunk-d9aac3484185ac66045df92214d245d5'} +2024-10-30 05:09:20,337 - lightrag - INFO - get_node:query:MATCH (n:`THE KNOCKER`) RETURN n:result:"The Knocker is an ornate door knocker that Scrooge admires, reflecting his newfound appreciation for simple joys.""The Knocker on the door serves as a symbolic gateway to the supernatural events, being the first point of eerie interaction for Scrooge."', 'source_id': 'chunk-d9aac3484185ac66045df92214d245d5chunk-8f738cb25d60a7dab782162d9d0a25edchunk-9c43dac2fcd5b578242d907ea6f8fc7b'}> +2024-10-30 05:09:20,480 - lightrag - INFO - _do_upsert:query: MERGE (n:`THE KNOCKER`) SET n += $properties RETURN n - :result:{'entity_type': '"CONCEPT"', 'description': '"The Knocker is a physical object that becomes a symbol of Scrooge\'s psyche, transforming into Marley\'s face, representing his guilt and past.""The Knocker is an ornate door knocker that Scrooge admires, reflecting his newfound appreciation for simple joys.""The Knocker on the door serves as a symbolic gateway to the supernatural events, being the first point of eerie interaction for Scrooge."', 'source_id': 'chunk-d9aac3484185ac66045df92214d245d5chunk-8f738cb25d60a7dab782162d9d0a25edchunk-9c43dac2fcd5b578242d907ea6f8fc7b'} -2024-10-29 13:33:39,173 - lightrag - INFO - _do_upsert:query: - MERGE (n:`MARLEY'S GHOST`) + :result:{'entity_type': '"ORGANIZATION"', 'description': '"The Knocker is a feature on Scrooge\'s door, which takes on a mystical quality when Scrooge perceives Marley\'s face in it.""The Knocker is a physical object that becomes a symbol of Scrooge\'s psyche, transforming into Marley\'s face, representing his guilt and past.""The Knocker is an ornate door knocker that Scrooge admires, reflecting his newfound appreciation for simple joys.""The Knocker on the door serves as a symbolic gateway to the supernatural events, being the first point of eerie interaction for Scrooge.""The Knocker is a physical object that symbolizes Scrooge\'s newfound appreciation for the simple, honest joys of life during Christmas."', 'source_id': 'chunk-9c43dac2fcd5b578242d907ea6f8fc7bchunk-d9aac3484185ac66045df92214d245d5chunk-8f738cb25d60a7dab782162d9d0a25ed'} +2024-10-30 05:09:20,786 - lightrag - INFO - _do_upsert:query: + MERGE (n:`THE COUNTING-HOUSE CLERK`) SET n += $properties RETURN n - :result:{'entity_type': '"EVENT"', 'description': '"Marley\'s Ghost is a spectral figure who appears to Scrooge to warn him of the impending visits from three spirits, representing remorse for his past deeds.""Marley\'s Ghost is a spectral visitation that deeply troubles Scrooge and causes him great perplexity, leading him to question the reality of his experiences.""Marley\'s Ghost represents the supernatural apparition of Marley, who has been dead for seven years and symbolizes regret and warning to Scrooge."', 'source_id': 'chunk-c7b10789a9cb0af6c553730b29bd9034chunk-9c43dac2fcd5b578242d907ea6f8fc7bchunk-cb661c37436355ccec2769b1d0350c5f'} -2024-10-29 13:33:39,448 - lightrag - INFO - _do_upsert:query: - MERGE (n:`THE HOUSE`) + :result:{'entity_type': '"PERSON"', 'description': '"The Counting-House Clerk is an unnamed character who interacts with Scrooge, representing the workforce under Scrooge\'s employment."', 'source_id': 'chunk-d9aac3484185ac66045df92214d245d5'} +2024-10-30 05:09:20,946 - lightrag - INFO - get_node:query:MATCH (n:`THE CANDLE`) RETURN n:result: +2024-10-30 05:09:21,090 - lightrag - INFO - _do_upsert:query: + MERGE (n:`THE CANDLE`) SET n += $properties RETURN n - :result:{'entity_type': '"GEO"', 'description': '"The House is the setting for the Christmas celebration and interactions among the characters, embodying warmth and family togetherness.""The House is the setting where Scrooge experiences the haunting, with a description of its features contributing to the eerie atmosphere."', 'source_id': 'chunk-da2472b4ef2a535b62908f14d0fb0ca9chunk-9c43dac2fcd5b578242d907ea6f8fc7b'} -2024-10-29 13:33:39,724 - lightrag - INFO - _do_upsert:query: - MERGE (n:`THE BELL`) + :result:{'entity_type': '"TECHNOLOGY"', 'description': '"The Candle is a source of light that Scrooge lights as he enters his home, symbolizing the struggle against darkness and isolation.""The Candle represents a source of light in Scrooge\'s dark life, emphasizing the contrast between warmth and isolation."', 'source_id': 'chunk-9c43dac2fcd5b578242d907ea6f8fc7bchunk-d9aac3484185ac66045df92214d245d5'} +2024-10-30 05:09:21,362 - lightrag - INFO - _do_upsert:query: + MERGE (n:`THE YARD`) SET n += $properties RETURN n - :result:{'entity_type': '"GEO"', 'description': '"The Bell is a church bell that signifies the time passing and marks the moments of Scrooge\'s encounters with the ghosts.""The Bell is described as a disused bell that starts to swing and ring during the haunting, signifying the onset of supernatural occurrences."', 'source_id': 'chunk-9c43dac2fcd5b578242d907ea6f8fc7bchunk-cb661c37436355ccec2769b1d0350c5f'} -2024-10-29 13:33:39,990 - lightrag - INFO - _do_upsert:query: - MERGE (n:`THE WINE-MERCHANT'S CELLAR`) + :result:{'entity_type': '"GEO"', 'description': '"The Yard refers to the dark and gloomy space behind Scrooge\'s residence, creating an atmosphere of loneliness and despair."', 'source_id': 'chunk-d9aac3484185ac66045df92214d245d5'} +2024-10-30 05:09:21,649 - lightrag - INFO - _do_upsert:query: + MERGE (n:`THE FOG AND FROST`) SET n += $properties RETURN n - :result:{'entity_type': '"GEO"', 'description': '"The Wine-Merchant\'s Cellar is a location that holds significance in the story, where sounds of dragging chains are heard, adding to the ghostly ambiance."', 'source_id': 'chunk-9c43dac2fcd5b578242d907ea6f8fc7b'} -2024-10-29 13:33:40,264 - lightrag - INFO - _do_upsert:query: - MERGE (n:`THE GRATE`) + :result:{'entity_type': '"CONCEPT"', 'description': '"The Fog and Frost symbolize the coldness and obscurity surrounding Scrooge\'s life and mindset, enhancing the gloomy atmosphere."', 'source_id': 'chunk-d9aac3484185ac66045df92214d245d5'} +2024-10-30 05:09:21,786 - lightrag - INFO - get_node:query:MATCH (n:`THE GHOST OF MARLEY`) RETURN n:result: +2024-10-30 05:09:21,929 - lightrag - INFO - _do_upsert:query: + MERGE (n:`THE GHOST OF MARLEY`) SET n += $properties RETURN n - :result:{'entity_type': '"GEO"', 'description': '"The Grate is part of Scrooge\'s room where a small fire burns, contributing to the bleak and cold atmosphere of his setting."', 'source_id': 'chunk-9c43dac2fcd5b578242d907ea6f8fc7b'} -2024-10-29 13:33:40,539 - lightrag - INFO - _do_upsert:query: - MERGE (n:`THE CASK`) + :result:{'entity_type': '"EVENT"', 'description': '"The Ghost of Marley is an event that is anticipated in the narrative, representing Scrooge\'s confrontation with his past and the supernatural.""The Ghost of Marley refers to the apparition that appears to Scrooge, serving as a catalyst for his transformation and moral reckoning."', 'source_id': 'chunk-d9aac3484185ac66045df92214d245d5'} +2024-10-30 05:09:22,073 - lightrag - INFO - get_node:query:MATCH (n:`LONDON`) RETURN n:result:"London serves as the setting where the events take place, adding a cultural backdrop to the Christmas gathering."', 'source_id': 'chunk-d9aac3484185ac66045df92214d245d5chunk-43c9bee23adfa77aa9dedd22401bba7d'}> +2024-10-30 05:09:22,216 - lightrag - INFO - _do_upsert:query: + MERGE (n:`LONDON`) SET n += $properties RETURN n - :result:{'entity_type': '"GEO"', 'description': '"The Cask is part of the cellar, contributing to the sounds associated with Marley\'s Ghost and aiding in creating a sense of dread."', 'source_id': 'chunk-9c43dac2fcd5b578242d907ea6f8fc7b'} -2024-10-29 13:33:40,814 - lightrag - INFO - _do_upsert:query: - MERGE (n:`THE DRESSING-GOWN`) + :result:{'entity_type': '"GEO"', 'description': '"London is the city where the narrative takes place, representing a central location in the story.""London serves as the general setting for the story, although its specific mention relates to an animal in the context of a game.""London serves as the geographical setting for the story, encapsulating the harsh winter atmosphere and the life of its inhabitants during the festive season.""London serves as the setting where the events take place, adding a cultural backdrop to the Christmas gathering.""London serves as the setting for the story, highlighting the bustling yet isolating environment in which Scrooge lives."', 'source_id': 'chunk-e7637ff18c5ded77a68cce0a87883fadchunk-d9aac3484185ac66045df92214d245d5chunk-43c9bee23adfa77aa9dedd22401bba7d'} +2024-10-30 05:09:22,351 - lightrag - INFO - get_node:query:MATCH (n:`THE HOUSE`) RETURN n:result:"The House is the setting where Scrooge experiences the haunting, with a description of its features contributing to the eerie atmosphere."', 'source_id': 'chunk-da2472b4ef2a535b62908f14d0fb0ca9chunk-9c43dac2fcd5b578242d907ea6f8fc7b'}> +2024-10-30 05:09:22,488 - lightrag - INFO - _do_upsert:query: + MERGE (n:`THE HOUSE`) SET n += $properties RETURN n - :result:{'entity_type': '"GEO"', 'description': '"The Dressing-Gown is worn by Scrooge, illustrating his solitary, night-time routine and emphasizing his isolation."', 'source_id': 'chunk-9c43dac2fcd5b578242d907ea6f8fc7b'} -2024-10-29 13:33:41,082 - lightrag - INFO - _do_upsert:query: - MERGE (n:`THE CANDLE`) + :result:{'entity_type': '"GEO"', 'description': '"The House is the setting for Scrooge\'s encounters, characterized by its darkness, the creaking sounds, and the presence of the ghost.""The House is the setting for the Christmas celebration and interactions among the characters, embodying warmth and family togetherness.""The House is the setting where Scrooge experiences the haunting, with a description of its features contributing to the eerie atmosphere."', 'source_id': 'chunk-9c43dac2fcd5b578242d907ea6f8fc7bchunk-da2472b4ef2a535b62908f14d0fb0ca9'} +2024-10-30 05:09:22,623 - lightrag - INFO - get_node:query:MATCH (n:`THE GHOST`) RETURN n:result:"The Ghost is a supernatural entity that shows Scrooge scenes from his past to provoke realization and remorse.""The Ghost refers specifically to the supernatural presence guiding Scrooge through his reflections and past experiences.""The Ghost represents the spirit of Jacob Marley, warning Scrooge about the aftereffects of neglecting human virtue and kindness during life.""The Ghost represents various spectral entities that visit Scrooge to facilitate his transformation by highlighting the consequences of his actions.""The Ghost serves as a guiding presence that helps Scrooge confront and reflect on his past during Christmas."', 'source_id': 'chunk-8590d9263cd2cd4fa583c432fc54e6c3chunk-54bdd22db1f84a965b5f4c06c9216d8dchunk-1aa50206d02ed89418f65f97c6441d1cchunk-02baee20cc9463dbe08170a8e1043e32chunk-da2472b4ef2a535b62908f14d0fb0ca9chunk-359187e7571bda4b0b08b2e0b6581e52'}> +2024-10-30 05:09:22,762 - lightrag - INFO - _do_upsert:query: + MERGE (n:`THE GHOST`) SET n += $properties RETURN n - :result:{'entity_type': '"GEO"', 'description': '"The Candle represents a source of light in Scrooge\'s dark life, emphasizing the contrast between warmth and isolation."', 'source_id': 'chunk-9c43dac2fcd5b578242d907ea6f8fc7b'} -2024-10-29 13:33:41,350 - lightrag - INFO - _do_upsert:query: - MERGE (n:`DARKNESS`) + :result:{'entity_type': '"EVENT"', 'description': '"The Ghost is a spectral manifestation of Jacob Marley, appearing to communicate a vital message to Scrooge about the spiritual consequences of his life choices.""The Ghost is a supernatural entity that shows Scrooge scenes from his past to provoke realization and remorse.""The Ghost refers specifically to the supernatural presence guiding Scrooge through his reflections and past experiences.""The Ghost represents the spirit of Jacob Marley, warning Scrooge about the aftereffects of neglecting human virtue and kindness during life.""The Ghost represents various spectral entities that visit Scrooge to facilitate his transformation by highlighting the consequences of his actions.""The Ghost serves as a guiding presence that helps Scrooge confront and reflect on his past during Christmas.""The Ghost is a supernatural being that interacts with Scrooge, helping him to confront his past and evoke emotions connected to Christmas.""The Ghost is a supernatural figure that guides Scrooge through his experiences, showing him the joys of family and the significance of Christmas.""The Ghost is described as a strange figure with qualities of both a child and an old man, representing the supernatural intervention in Scrooge\'s life.""The Ghost refers to the Spirit who guides Scrooge through his journey, embodying themes of change, redemption, and moral lessons.""The Ghost refers to the apparition of Marley, which instills dread in Scrooge and symbolizes the theme of redemption.""The Ghost represents a spectral figure guiding Scrooge through his past, serving as a catalyst for self-reflection and transformation.""The Ghost represents a supernatural entity that shows Scrooge various scenes from his life, influencing his emotional state and ultimate redemption.""The Ghost represents the specter of Jacob Marley, who visits Scrooge to deliver an important message regarding his life and the impending visits of three spirits.""The Ghost serves as a supernatural guide for Scrooge, revealing lessons about kindness, death, and the emotional repercussions of one\'s actions."', 'source_id': 'chunk-e7637ff18c5ded77a68cce0a87883fadchunk-c7b10789a9cb0af6c553730b29bd9034chunk-c6c248858d1b13ab7ee9ca13c1aeed6bchunk-83ac129dc9b56f84c46760d153d68e93chunk-8590d9263cd2cd4fa583c432fc54e6c3chunk-43c9bee23adfa77aa9dedd22401bba7dchunk-da2472b4ef2a535b62908f14d0fb0ca9chunk-02baee20cc9463dbe08170a8e1043e32chunk-359187e7571bda4b0b08b2e0b6581e52chunk-54bdd22db1f84a965b5f4c06c9216d8dchunk-1aa50206d02ed89418f65f97c6441d1cchunk-cb661c37436355ccec2769b1d0350c5fchunk-9c43dac2fcd5b578242d907ea6f8fc7b'} +2024-10-30 05:09:22,897 - lightrag - INFO - get_node:query:MATCH (n:`THE BELL`) RETURN n:result:"The Bell is described as a disused bell that starts to swing and ring during the haunting, signifying the onset of supernatural occurrences."', 'source_id': 'chunk-9c43dac2fcd5b578242d907ea6f8fc7bchunk-cb661c37436355ccec2769b1d0350c5f'}> +2024-10-30 05:09:23,037 - lightrag - INFO - _do_upsert:query: + MERGE (n:`THE BELL`) SET n += $properties RETURN n - :result:{'entity_type': '"CONCEPT"', 'description': '"Darkness symbolizes the oppressive loneliness and despair in Scrooge\'s life, as well as the supernatural elements of the story."', 'source_id': 'chunk-9c43dac2fcd5b578242d907ea6f8fc7b'} -2024-10-29 13:33:41,622 - lightrag - INFO - _do_upsert:query: - MERGE (n:`JACOB MARLEY`) + :result:{'entity_type': '"GEO"', 'description': '"The Bell is a church bell that signifies the time passing and marks the moments of Scrooge\'s encounters with the ghosts.""The Bell is described as a disused bell that starts to swing and ring during the haunting, signifying the onset of supernatural occurrences.""The Bell is a disused bell in Scrooge\'s room, which begins to swing and rings out loudly, heralding the appearance of Marley\'s Ghost."', 'source_id': 'chunk-cb661c37436355ccec2769b1d0350c5fchunk-9c43dac2fcd5b578242d907ea6f8fc7b'} +2024-10-30 05:09:23,174 - lightrag - INFO - get_node:query:MATCH (n:`THE WINE-MERCHANT'S CELLAR`) RETURN n:result: +2024-10-30 05:09:23,313 - lightrag - INFO - _do_upsert:query: + MERGE (n:`THE WINE-MERCHANT'S CELLAR`) SET n += $properties RETURN n - :result:{'entity_type': '"PERSON"', 'description': '"Jacob Marley is Scrooge\'s deceased business partner who plays a significant role in introducing the spirits to Scrooge.""Jacob Marley is Scrooge\'s deceased business partner, who appears as a ghost to warn Scrooge of his impending fate and the need for change.""Jacob Marley is a deceased character who symbolizes the consequences of a life led without compassion, influencing Scrooge\'s redemption.""Jacob Marley is a ghost who appears to Scrooge, having been his business partner in life, and is now bound by chains that signify his earthly ties and regrets.""Jacob Marley is the ghost of Scrooge\'s former business partner, who seeks to impart a lesson about the consequences of a life lived without compassion or connection to humanity.""Jacob Marley is the ghost who represents Scrooge\'s past and serves as a catalyst for his change."', 'source_id': 'chunk-90b95db5c53e4364a6bee36b7aa4d70fchunk-1aa50206d02ed89418f65f97c6441d1cchunk-02baee20cc9463dbe08170a8e1043e32chunk-91572b3cd42786ba4cb2f180ca25cbf4chunk-da2472b4ef2a535b62908f14d0fb0ca9chunk-359187e7571bda4b0b08b2e0b6581e52'} -2024-10-29 13:33:41,894 - lightrag - INFO - _do_upsert:query: - MERGE (n:`THE GHOST`) + :result:{'entity_type': '"GEO"', 'description': '"The Wine-Merchant\'s Cellar is a location that holds significance in the story, where sounds of dragging chains are heard, adding to the ghostly ambiance.""The Wine-Merchant\'s Cellar is a location within The House where sounds of dragging chains are heard, signifying a haunted presence."', 'source_id': 'chunk-9c43dac2fcd5b578242d907ea6f8fc7b'} +2024-10-30 05:09:23,593 - lightrag - INFO - _do_upsert:query: + MERGE (n:`THE DYING FLAME`) SET n += $properties RETURN n - :result:{'entity_type': '"EVENT"', 'description': '"The Ghost is a spectral manifestation of Jacob Marley, appearing to communicate a vital message to Scrooge about the spiritual consequences of his life choices.""The Ghost is a supernatural entity that shows Scrooge scenes from his past to provoke realization and remorse.""The Ghost refers specifically to the supernatural presence guiding Scrooge through his reflections and past experiences.""The Ghost represents the spirit of Jacob Marley, warning Scrooge about the aftereffects of neglecting human virtue and kindness during life.""The Ghost represents various spectral entities that visit Scrooge to facilitate his transformation by highlighting the consequences of his actions.""The Ghost serves as a guiding presence that helps Scrooge confront and reflect on his past during Christmas."', 'source_id': 'chunk-8590d9263cd2cd4fa583c432fc54e6c3chunk-54bdd22db1f84a965b5f4c06c9216d8dchunk-1aa50206d02ed89418f65f97c6441d1cchunk-02baee20cc9463dbe08170a8e1043e32chunk-da2472b4ef2a535b62908f14d0fb0ca9chunk-359187e7571bda4b0b08b2e0b6581e52'} -2024-10-29 13:33:42,164 - lightrag - INFO - _do_upsert:query: - MERGE (n:`CASH-BOXES`) + :result:{'entity_type': '"CONCEPT"', 'description': '"The Dying Flame represents the fear and uncertainty in Scrooge as it reacts to the presence of Marley’s Ghost, adding to the eerie atmosphere.""The Dying Flame signifies the waning spirit of Scrooge, momentarily invigorated by the arrival of the ghost as a metaphor for his fading humanity."', 'source_id': 'chunk-9c43dac2fcd5b578242d907ea6f8fc7bchunk-1aa50206d02ed89418f65f97c6441d1c'} +2024-10-30 05:09:23,730 - lightrag - INFO - get_node:query:MATCH (n:`THE GRATE`) RETURN n:result: +2024-10-30 05:09:23,867 - lightrag - INFO - _do_upsert:query: + MERGE (n:`THE GRATE`) SET n += $properties RETURN n - :result:{'entity_type': '"CONCEPT"', 'description': '"Cash-boxes are items represented in the ghost\'s chain, symbolizing Marley’s greed and the burdens of material wealth in life."', 'source_id': 'chunk-1aa50206d02ed89418f65f97c6441d1c'} -2024-10-29 13:33:42,431 - lightrag - INFO - _do_upsert:query: - MERGE (n:`KEYS`) + :result:{'entity_type': '"GEO"', 'description': '"The Grate is a small fire in Scrooge\'s room that provides meager warmth, symbolizing Scrooge\'s cold disposition.""The Grate is part of Scrooge\'s room where a small fire burns, contributing to the bleak and cold atmosphere of his setting."', 'source_id': 'chunk-9c43dac2fcd5b578242d907ea6f8fc7b'} +2024-10-30 05:09:24,147 - lightrag - INFO - _do_upsert:query: + MERGE (n:`SCROOGE'S DRESSING-GOWN`) SET n += $properties RETURN n - :result:{'entity_type': '"CONCEPT"', 'description': '"Keys represent control and access, also included in the ghost\'s chain, indicating the constraints of Marley’s earthly desires."', 'source_id': 'chunk-1aa50206d02ed89418f65f97c6441d1c'} -2024-10-29 13:33:42,701 - lightrag - INFO - _do_upsert:query: - MERGE (n:`PADLOCKS`) + :result:{'entity_type': '"CONCEPT"', 'description': '"Scrooge\'s Dressing-Gown represents his reluctance to engage with the world outside, emphasizing his isolation and contentment with solitude."', 'source_id': 'chunk-9c43dac2fcd5b578242d907ea6f8fc7b'} +2024-10-30 05:09:24,420 - lightrag - INFO - _do_upsert:query: + MERGE (n:`GRUE`) SET n += $properties RETURN n - :result:{'entity_type': '"CONCEPT"', 'description': '"Padlocks are part of the ghost\'s chain, signifying confinement and the lock on Marley’s spirit due to his selfish actions in life."', 'source_id': 'chunk-1aa50206d02ed89418f65f97c6441d1c'} -2024-10-29 13:33:42,969 - lightrag - INFO - _do_upsert:query: - MERGE (n:`LEDGERS`) + :result:{'entity_type': '"GEO"', 'description': '"Grue is the small saucepan of gruel prepared by Scrooge, indicating his minimalistic lifestyle and frugality."', 'source_id': 'chunk-9c43dac2fcd5b578242d907ea6f8fc7b'} +2024-10-30 05:09:24,699 - lightrag - INFO - _do_upsert:query: + MERGE (n:`THE HEAVY CHAIN`) SET n += $properties RETURN n - :result:{'entity_type': '"CONCEPT"', 'description': '"Ledgers symbolize records of transactions, reflecting Marley’s focus on business and financial dealings during his life."', 'source_id': 'chunk-1aa50206d02ed89418f65f97c6441d1c'} -2024-10-29 13:33:43,240 - lightrag - INFO - _do_upsert:query: - MERGE (n:`DEEDS`) + :result:{'entity_type': '"CONCEPT"', 'description': '"The Heavy Chain is associated with the dragging noise heard by Scrooge, symbolizing the burdens of his past actions."', 'source_id': 'chunk-9c43dac2fcd5b578242d907ea6f8fc7b'} +2024-10-30 05:09:24,833 - lightrag - INFO - get_node:query:MATCH (n:`THE CASK`) RETURN n:result: +2024-10-30 05:09:24,972 - lightrag - INFO - _do_upsert:query: + MERGE (n:`THE CASK`) SET n += $properties RETURN n - :result:{'entity_type': '"CONCEPT"', 'description': '"Deeds represent property ownership, indicating the material attachments that bound Marley in life and continue to do so in death."', 'source_id': 'chunk-1aa50206d02ed89418f65f97c6441d1c'} -2024-10-29 13:33:43,513 - lightrag - INFO - _do_upsert:query: - MERGE (n:`HEAVY PURSES`) + :result:{'entity_type': '"GEO"', 'description': '"The Cask is part of the cellar, contributing to the sounds associated with Marley\'s Ghost and aiding in creating a sense of dread.""The Cask is part of the sounds emerging from the cellar, contributing to the eerie atmosphere surrounding Marley’s Ghost."', 'source_id': 'chunk-9c43dac2fcd5b578242d907ea6f8fc7b'} +2024-10-30 05:09:25,112 - lightrag - INFO - get_node:query:MATCH (n:`MARLEY'S GHOST`) RETURN n:result:"Marley\'s Ghost is a spectral visitation that deeply troubles Scrooge and causes him great perplexity, leading him to question the reality of his experiences.""Marley\'s Ghost represents the supernatural apparition of Marley, who has been dead for seven years and symbolizes regret and warning to Scrooge."', 'source_id': 'chunk-c7b10789a9cb0af6c553730b29bd9034chunk-9c43dac2fcd5b578242d907ea6f8fc7bchunk-cb661c37436355ccec2769b1d0350c5f'}> +2024-10-30 05:09:25,254 - lightrag - INFO - _do_upsert:query: + MERGE (n:`MARLEY'S GHOST`) SET n += $properties RETURN n - :result:{'entity_type': '"CONCEPT"', 'description': '"Heavy purses in the ghost\'s chain symbolize the weight of wealth and the burden of not sharing that wealth with others."', 'source_id': 'chunk-1aa50206d02ed89418f65f97c6441d1c'} -2024-10-29 13:33:43,782 - lightrag - INFO - _do_upsert:query: - MERGE (n:`THE HEAVY DOOR`) + :result:{'entity_type': '"EVENT"', 'description': '"Marley\'s Ghost is a spectral figure that represents Scrooge\'s past partner who has returned to convey a message, encapsulating themes of guilt and redemption.""Marley\'s Ghost is a spectral figure who appears to Scrooge to warn him of the impending visits from three spirits, representing remorse for his past deeds.""Marley\'s Ghost is a spectral visitation that deeply troubles Scrooge and causes him great perplexity, leading him to question the reality of his experiences.""Marley\'s Ghost represents the supernatural apparition of Marley, who has been dead for seven years and symbolizes regret and warning to Scrooge.""Marley\'s Ghost is an unearthly visitor that appears to Scrooge, causing him to question the nature of reality and dreams.""Marley\'s Ghost is the spectral figure of Jacob Marley, who appears to forewarn Scrooge about his fate and the necessity of change in his life."', 'source_id': 'chunk-cb661c37436355ccec2769b1d0350c5fchunk-c7b10789a9cb0af6c553730b29bd9034chunk-9c43dac2fcd5b578242d907ea6f8fc7bchunk-1aa50206d02ed89418f65f97c6441d1c'} +2024-10-30 05:09:25,389 - lightrag - INFO - get_node:query:MATCH (n:`JACOB MARLEY`) RETURN n:result:"Jacob Marley is Scrooge\'s deceased business partner, who appears as a ghost to warn Scrooge of his impending fate and the need for change.""Jacob Marley is a deceased character who symbolizes the consequences of a life led without compassion, influencing Scrooge\'s redemption.""Jacob Marley is a ghost who appears to Scrooge, having been his business partner in life, and is now bound by chains that signify his earthly ties and regrets.""Jacob Marley is the ghost of Scrooge\'s former business partner, who seeks to impart a lesson about the consequences of a life lived without compassion or connection to humanity.""Jacob Marley is the ghost who represents Scrooge\'s past and serves as a catalyst for his change."', 'source_id': 'chunk-90b95db5c53e4364a6bee36b7aa4d70fchunk-1aa50206d02ed89418f65f97c6441d1cchunk-02baee20cc9463dbe08170a8e1043e32chunk-91572b3cd42786ba4cb2f180ca25cbf4chunk-da2472b4ef2a535b62908f14d0fb0ca9chunk-359187e7571bda4b0b08b2e0b6581e52'}> +2024-10-30 05:09:25,527 - lightrag - INFO - _do_upsert:query: + MERGE (n:`JACOB MARLEY`) SET n += $properties RETURN n - :result:{'entity_type': '"LOCATION"', 'description': '"The heavy door is a physical boundary encountered by Scrooge, marking the transition between the ordinary world and the supernatural visitation."', 'source_id': 'chunk-1aa50206d02ed89418f65f97c6441d1c'} -2024-10-29 13:33:44,046 - lightrag - INFO - _do_upsert:query: - MERGE (n:`THE FIREPLACE`) + :result:{'entity_type': '"PERSON"', 'description': '"Jacob Marley is Scrooge\'s deceased business partner who appears as a ghost, wearing chains that symbolize his past misdeeds and the burden of his regrets.""Jacob Marley is Scrooge\'s deceased business partner who plays a significant role in introducing the spirits to Scrooge.""Jacob Marley is Scrooge\'s deceased business partner, who appears as a ghost to warn Scrooge of his impending fate and the need for change.""Jacob Marley is a deceased character who symbolizes the consequences of a life led without compassion, influencing Scrooge\'s redemption.""Jacob Marley is a ghost who appears to Scrooge, having been his business partner in life, and is now bound by chains that signify his earthly ties and regrets.""Jacob Marley is the ghost of Scrooge\'s former business partner, who seeks to impart a lesson about the consequences of a life lived without compassion or connection to humanity.""Jacob Marley is the ghost who represents Scrooge\'s past and serves as a catalyst for his change.""Jacob Marley is Scrooge\'s deceased partner, who appears in spirit to influence Scrooge\'s journey towards redemption.""Jacob Marley is a spirit who influences Scrooge\'s change of heart, representing a connection to Scrooge\'s past and the theme of redemption.""Jacob Marley is the deceased business partner of Scrooge, whose ghost visits him to convey a message about the importance of charity and kindness.""Jacob Marley is the deceased partner of Scrooge who shows concern for Scrooge\'s fate and the importance of change in his life.""Jacob Marley is the ghost of Scrooge\'s former business partner, who foretells the consequences of Scrooge\'s selfishness and warns him to change his ways.""Jacob Marley is the ghost of Scrooge\'s former partner, who appears to warn Scrooge about his fate and the need for change in his life."', 'source_id': 'chunk-91572b3cd42786ba4cb2f180ca25cbf4chunk-90b95db5c53e4364a6bee36b7aa4d70fchunk-da2472b4ef2a535b62908f14d0fb0ca9chunk-359187e7571bda4b0b08b2e0b6581e52chunk-02baee20cc9463dbe08170a8e1043e32chunk-1aa50206d02ed89418f65f97c6441d1cchunk-cb661c37436355ccec2769b1d0350c5f'} +2024-10-30 05:09:25,661 - lightrag - INFO - get_node:query:MATCH (n:`THE CHAIN`) RETURN n:result:"The Chain symbolizes the burdens of the past that haunt the spirits, showcasing the consequences of one\'s actions in life."', 'source_id': 'chunk-359187e7571bda4b0b08b2e0b6581e52chunk-cb661c37436355ccec2769b1d0350c5f'}> +2024-10-30 05:09:25,805 - lightrag - INFO - _do_upsert:query: + MERGE (n:`THE CHAIN`) SET n += $properties RETURN n - :result:{'entity_type': '"LOCATION"', 'description': '"The fireplace serves as a significant setting for the interaction between Scrooge and the ghost, representing warmth but also the stark contrast to the ghost\'s cold presence."', 'source_id': 'chunk-1aa50206d02ed89418f65f97c6441d1c'} -2024-10-29 13:33:44,314 - lightrag - INFO - _do_upsert:query: - MERGE (n:`SPIRIT`) + :result:{'entity_type': '"CONCEPT"', 'description': '"The Chain refers to the symbolic burden that Marley carries, representing the consequences of his actions and the remorse that traps him in his spectral form.""The Chain symbolizes the burdens of the past that haunt the spirits, showcasing the consequences of one\'s actions in life.""The Chain represents the burdens of greed and the consequences of one\'s actions, worn by Marley\'s Ghost as a physical manifestation of his regrets.""The Chain represents the burdens of regret and guilt that haunt Marley and serve as a warning to Scrooge about the consequences of a life poorly lived."', 'source_id': 'chunk-cb661c37436355ccec2769b1d0350c5fchunk-359187e7571bda4b0b08b2e0b6581e52chunk-1aa50206d02ed89418f65f97c6441d1c'} +2024-10-30 05:09:25,941 - lightrag - INFO - get_node:query:MATCH (n:`THE HEAVY DOOR`) RETURN n:result: +2024-10-30 05:09:26,077 - lightrag - INFO - _do_upsert:query: + MERGE (n:`THE HEAVY DOOR`) SET n += $properties RETURN n - :result:{'entity_type': '"CONCEPT"', 'description': '"Spirit represents the essence of Marley that is attempting to interact with Scrooge, indicating themes of afterlife and unresolved issues.""The Spirit embodies the lessons of compassion and social responsibility, guiding Scrooge through his reflections and realizations.""The Spirit is the manifestation of Scrooge\'s past that guides him through his memories, representing his former self and the influence of time.""The Spirit represents a ghostly entity, guiding Scrooge through visions of potential future events and urging him to acknowledge societal issues.""The Spirit represents a supernatural entity guiding Scrooge through his reflections on life, death, and human emotions, prompting self-awareness.""The Spirit represents the embodiment of the Christmas present, personifying the themes of generosity and merriment."', 'source_id': 'chunk-bb21d58d36c6306fd8810ddd51c4a971chunk-83ac129dc9b56f84c46760d153d68e93chunk-e7637ff18c5ded77a68cce0a87883fadchunk-843b5b2f944c7413d9ca876e2e2f151fchunk-1aa50206d02ed89418f65f97c6441d1cchunk-02baee20cc9463dbe08170a8e1043e32'} -2024-10-29 13:33:44,590 - lightrag - INFO - _do_upsert:query: - MERGE (n:`THE BANDAGE`) + :result:{'entity_type': '"CONCEPT"', 'description': '"The Heavy Door symbolizes the threshold between life and death, as well as the barriers between Scrooge and the supernatural world.""The heavy door is a physical boundary encountered by Scrooge, marking the transition between the ordinary world and the supernatural visitation."', 'source_id': 'chunk-1aa50206d02ed89418f65f97c6441d1c'} +2024-10-30 05:09:26,352 - lightrag - INFO - _do_upsert:query: + MERGE (n:`THE SPECTRE`) SET n += $properties RETURN n - :result:{'entity_type': '"CONCEPT"', 'description': '"The bandage is an item used by the ghost, symbolizing decay and the remnants of Marley’s struggle with his own existence post-death."', 'source_id': 'chunk-1aa50206d02ed89418f65f97c6441d1c'} -2024-10-29 13:33:44,872 - lightrag - INFO - _do_upsert:query: - MERGE (n:`THE COSMIC SIGNIFICANCE`) + :result:{'entity_type': '"CONCEPT"', 'description': '"The Spectre refers to the ghostly presence of Marley that embodies the themes of haunting and reflection on one\'s life choices."', 'source_id': 'chunk-1aa50206d02ed89418f65f97c6441d1c'} +2024-10-30 05:09:26,628 - lightrag - INFO - _do_upsert:query: + MERGE (n:`INFERNAL ATMOSPHERE`) SET n += $properties RETURN n - :result:{'entity_type': '"CONCEPT"', 'description': '"The cosmic significance refers to the broader themes of morality and the impact of one’s actions on others, reflected in Marley’s message to Scrooge."', 'source_id': 'chunk-1aa50206d02ed89418f65f97c6441d1c'} -2024-10-29 13:33:45,144 - lightrag - INFO - _do_upsert:query: - MERGE (n:`MANKIND`) + :result:{'entity_type': '"CONCEPT"', 'description': '"The Infernal Atmosphere refers to the unsettling environment surrounding Marley\'s Ghost, indicating the discomfort and fear associated with his presence."', 'source_id': 'chunk-1aa50206d02ed89418f65f97c6441d1c'} +2024-10-30 05:09:26,910 - lightrag - INFO - _do_upsert:query: + MERGE (n:`THE CHAIR`) SET n += $properties RETURN n - :result:{'entity_type': '"CONCEPT"', 'description': '"Mankind signifies the broader human community, which Marley claims should be the focus of compassionate effort rather than mere business pursuits."', 'source_id': 'chunk-359187e7571bda4b0b08b2e0b6581e52'} -2024-10-29 13:33:45,422 - lightrag - INFO - _do_upsert:query: - MERGE (n:`BUSINESS`) + :result:{'entity_type': '"CONCEPT"', 'description': '"The Chair represents the symbol of comfort and safety that Scrooge clings to while facing the terrifying apparition."', 'source_id': 'chunk-1aa50206d02ed89418f65f97c6441d1c'} +2024-10-30 05:09:27,209 - lightrag - INFO - _do_upsert:query: + MERGE (n:`THE VISION`) SET n += $properties RETURN n - :result:{'entity_type': '"CONCEPT"', 'description': '"Business refers to the practices of trade and commerce that Marley criticizes for overshadowing more significant moral duties like benevolence and charity."', 'source_id': 'chunk-359187e7571bda4b0b08b2e0b6581e52'} -2024-10-29 13:33:45,701 - lightrag - INFO - _do_upsert:query: - MERGE (n:`THE CHAIN`) + :result:{'entity_type': '"CONCEPT"', 'description': '"The Vision refers to the haunting imagery that Scrooge perceives, reflecting his inner turmoil and conflict with reality."', 'source_id': 'chunk-1aa50206d02ed89418f65f97c6441d1c'} +2024-10-30 05:09:27,359 - lightrag - INFO - get_node:query:MATCH (n:`THE BANDAGE`) RETURN n:result: +2024-10-30 05:09:27,504 - lightrag - INFO - _do_upsert:query: + MERGE (n:`THE BANDAGE`) SET n += $properties RETURN n - :result:{'entity_type': '"CONCEPT"', 'description': '"The Chain refers to the symbolic burden that Marley carries, representing the consequences of his actions and the remorse that traps him in his spectral form.""The Chain symbolizes the burdens of the past that haunt the spirits, showcasing the consequences of one\'s actions in life."', 'source_id': 'chunk-359187e7571bda4b0b08b2e0b6581e52chunk-cb661c37436355ccec2769b1d0350c5f'} -2024-10-29 13:33:45,968 - lightrag - INFO - _do_upsert:query: - MERGE (n:`CROWD OF FELLOW-BEINGS`) + :result:{'entity_type': '"CONCEPT"', 'description': '"The Bandage represents the ghost\'s attempt to maintain semblance in his appearance while revealing his true ghostly form.""The bandage is an item used by the ghost, symbolizing decay and the remnants of Marley’s struggle with his own existence post-death."', 'source_id': 'chunk-1aa50206d02ed89418f65f97c6441d1c'} +2024-10-30 05:09:27,640 - lightrag - INFO - get_node:query:MATCH (n:`GHOST`) RETURN n:result:"The Ghost refers to the spirit guiding Scrooge, embodying the themes of memory and reflection on the joys of Christmas.""The Ghost represents a spiritual guide that takes Scrooge on a journey to learn important lessons about compassion and humanity.""The Ghost serves as a supernatural guide for Scrooge, prompting him to reflect on his life and choices."', 'source_id': 'chunk-503f0bfa5453467c7c61d160a3540ecachunk-c6c248858d1b13ab7ee9ca13c1aeed6bchunk-e7637ff18c5ded77a68cce0a87883fadchunk-43c9bee23adfa77aa9dedd22401bba7d'}> +2024-10-30 05:09:27,781 - lightrag - INFO - _do_upsert:query: + MERGE (n:`GHOST`) SET n += $properties RETURN n - :result:{'entity_type': '"CONCEPT"', 'description': '"The Crowd of Fellow-Beings signifies the people Marley neglected throughout his life, highlighting the need for social responsibility and community engagement."', 'source_id': 'chunk-359187e7571bda4b0b08b2e0b6581e52'} -2024-10-29 13:33:46,239 - lightrag - INFO - _do_upsert:query: + :result:{'entity_type': '"PERSON"', 'description': '"The Ghost is a supernatural entity that provides guidance and reflection on Scrooge\'s past, representing moral and societal themes.""The Ghost refers to the spirit guiding Scrooge, embodying the themes of memory and reflection on the joys of Christmas.""The Ghost represents a spiritual guide that takes Scrooge on a journey to learn important lessons about compassion and humanity.""The Ghost serves as a supernatural guide for Scrooge, prompting him to reflect on his life and choices.""The Ghost is the spirit of Jacob Marley, who expresses remorse for his life and warns Scrooge about the consequences of ignoring his moral duties."', 'source_id': 'chunk-e7637ff18c5ded77a68cce0a87883fadchunk-c6c248858d1b13ab7ee9ca13c1aeed6bchunk-43c9bee23adfa77aa9dedd22401bba7dchunk-359187e7571bda4b0b08b2e0b6581e52chunk-503f0bfa5453467c7c61d160a3540eca'} +2024-10-30 05:09:27,919 - lightrag - INFO - get_node:query:MATCH (n:`CHRISTMAS EVES`) RETURN n:result: +2024-10-30 05:09:28,059 - lightrag - INFO - _do_upsert:query: MERGE (n:`CHRISTMAS EVES`) SET n += $properties RETURN n - :result:{'entity_type': '"EVENT"', 'description': '"Christmas Eves refers to the recurring time periods that Marley reflects upon, indicating the weight of his past decisions leading to regret."', 'source_id': 'chunk-359187e7571bda4b0b08b2e0b6581e52'} -2024-10-29 13:33:46,506 - lightrag - INFO - _do_upsert:query: - MERGE (n:`THE BLESSED STAR`) - SET n += $properties - RETURN n - :result:{'entity_type': '"CONCEPT"', 'description': '"The Blessed Star symbolizes hope and guidance, representing the moral path that Marley believes Scrooge should have followed and acknowledged."', 'source_id': 'chunk-359187e7571bda4b0b08b2e0b6581e52'} -2024-10-29 13:33:46,786 - lightrag - INFO - _do_upsert:query: - MERGE (n:`IRON CABLE`) + :result:{'entity_type': '"EVENT"', 'description': '"Christmas Eves refer to the time periods associated with the spirits\' visits, specifically connecting to themes of reflection and redemption during the festive season.""Christmas Eves refers to the recurring time periods that Marley reflects upon, indicating the weight of his past decisions leading to regret."', 'source_id': 'chunk-359187e7571bda4b0b08b2e0b6581e52'} +2024-10-30 05:09:28,191 - lightrag - INFO - get_node:query:MATCH (n:`MANKIND`) RETURN n:result: +2024-10-30 05:09:28,325 - lightrag - INFO - _do_upsert:query: + MERGE (n:`MANKIND`) SET n += $properties RETURN n - :result:{'entity_type': '"CONCEPT"', 'description': '"Iron Cable is a metaphorical representation of the heavy burdens of regret and unfulfilled opportunities carried by Marley in the afterlife."', 'source_id': 'chunk-359187e7571bda4b0b08b2e0b6581e52'} -2024-10-29 13:33:47,054 - lightrag - INFO - _do_upsert:query: - MERGE (n:`THE COMMON WELFARE`) + :result:{'entity_type': '"CONCEPT"', 'description': '"Mankind is referenced as a significant concern that should have been the focus of Scrooge\'s life, highlighting the importance of universal compassion and care.""Mankind signifies the broader human community, which Marley claims should be the focus of compassionate effort rather than mere business pursuits."', 'source_id': 'chunk-359187e7571bda4b0b08b2e0b6581e52'} +2024-10-30 05:09:28,597 - lightrag - INFO - _do_upsert:query: + MERGE (n:`ETERNAL CHAIN`) SET n += $properties RETURN n - :result:{'entity_type': '"CONCEPT"', 'description': '"The Common Welfare emphasizes the idea that collective well-being should be a primary concern for individuals, contrasting with selfish pursuits."', 'source_id': 'chunk-359187e7571bda4b0b08b2e0b6581e52'} -2024-10-29 13:33:47,324 - lightrag - INFO - _do_upsert:query: - MERGE (n:`OTHER REGIONS`) + :result:{'entity_type': '"CONCEPT"', 'description': '"The Eternal Chain represents the burdens and consequences of one\'s actions in life, symbolizing the weight of regret carried by the Ghost."', 'source_id': 'chunk-359187e7571bda4b0b08b2e0b6581e52'} +2024-10-30 05:09:28,866 - lightrag - INFO - _do_upsert:query: + MERGE (n:`STAR`) SET n += $properties RETURN n - :result:{'entity_type': '"CONCEPT"', 'description': '"Other Regions alludes to the spiritual realm and existence beyond earthly life that Marley refers to, highlighting the interaction between the physical and spiritual worlds."', 'source_id': 'chunk-359187e7571bda4b0b08b2e0b6581e52'} -2024-10-29 13:33:47,591 - lightrag - INFO - _do_upsert:query: - MERGE (n:`SEVEN YEARS`) + :result:{'entity_type': '"GEO"', 'description': '"The Star symbolizes guidance and hope, referenced in connection with the Wise Men, representing the potential for enlightenment and moral direction."', 'source_id': 'chunk-359187e7571bda4b0b08b2e0b6581e52'} +2024-10-30 05:09:29,145 - lightrag - INFO - _do_upsert:query: + MERGE (n:`WISE MEN`) SET n += $properties RETURN n - :result:{'entity_type': '"EVENT"', 'description': '"Seven Years denotes the duration since Marley passed away, a significant timeframe during which he reflects on his unending labor and remorse."', 'source_id': 'chunk-359187e7571bda4b0b08b2e0b6581e52'} -2024-10-29 13:33:47,863 - lightrag - INFO - _do_upsert:query: - MERGE (n:`COUNTING-HOUSE`) + :result:{'entity_type': '"PERSON"', 'description': '"The Wise Men are figures who followed the Star to bring gifts, embodying the values of recognition and generosity that Scrooge has neglected."', 'source_id': 'chunk-359187e7571bda4b0b08b2e0b6581e52'} +2024-10-30 05:09:29,416 - lightrag - INFO - _do_upsert:query: + MERGE (n:`FELLOW-BEINGS`) SET n += $properties RETURN n - :result:{'entity_type': '"LOCATION"', 'description': '"The Counting-House is a physical space representing the business environment where Scrooge and Marley engaged in trade but also symbolizes their limited worldview."', 'source_id': 'chunk-359187e7571bda4b0b08b2e0b6581e52'} -2024-10-29 13:33:48,139 - lightrag - INFO - _do_upsert:query: - MERGE (n:`FELLOW-MEN`) + :result:{'entity_type': '"CONCEPT"', 'description': '"Fellow-beings are the people whom Scrooge ignored in life, representing the importance of community and connection."', 'source_id': 'chunk-359187e7571bda4b0b08b2e0b6581e52'} +2024-10-30 05:09:29,684 - lightrag - INFO - _do_upsert:query: + MERGE (n:`CHRISTMAS SPIRIT`) SET n += $properties RETURN n - :result:{'entity_type': '"CONCEPT"', 'description': '"Fellow-Men refers to individuals with whom Marley and Scrooge share a human connection, underscoring the importance of empathy and human relationships."', 'source_id': 'chunk-359187e7571bda4b0b08b2e0b6581e52'} -2024-10-29 13:33:48,416 - lightrag - INFO - _do_upsert:query: - MERGE (n:`PONDEROUS CHAIN`) + :result:{'entity_type': '"CONCEPT"', 'description': '"The Christmas Spirit represents the ideals of generosity and kindness associated with the holiday season, which the Ghost encourages Scrooge to embrace."', 'source_id': 'chunk-359187e7571bda4b0b08b2e0b6581e52'} +2024-10-30 05:09:29,960 - lightrag - INFO - _do_upsert:query: + MERGE (n:`SPECTRE`) SET n += $properties RETURN n - :result:{'entity_type': '"CONCEPT"', 'description': '"Ponderous Chain symbolizes the heavy emotional and moral burden that Marley carries as a consequence of his choices in life, particularly relating to his business practices."', 'source_id': 'chunk-359187e7571bda4b0b08b2e0b6581e52'} -2024-10-29 13:33:48,681 - lightrag - INFO - _do_upsert:query: + :result:{'entity_type': '"PERSON"', 'description': '"The Spectre is another term for the Ghost, representing a manifestation of guilt and the need for change in Scrooge\'s life."', 'source_id': 'chunk-359187e7571bda4b0b08b2e0b6581e52'} +2024-10-30 05:09:30,097 - lightrag - INFO - get_node:query:MATCH (n:`THE THREE SPIRITS`) RETURN n:result: +2024-10-30 05:09:30,235 - lightrag - INFO - _do_upsert:query: MERGE (n:`THE THREE SPIRITS`) SET n += $properties RETURN n - :result:{'entity_type': '"EVENT"', 'description': '"The Three Spirits refer to the supernatural beings that are prophesied to visit Scrooge, each representing different aspects of time and morality."', 'source_id': 'chunk-cb661c37436355ccec2769b1d0350c5f'} -2024-10-29 13:33:48,961 - lightrag - INFO - _do_upsert:query: - MERGE (n:`THE INVISIBLE WORLD`) - SET n += $properties - RETURN n - :result:{'entity_type': '"CONCEPT"', 'description': '"The Invisible World refers to the realm of spirits and supernatural influences that Scrooge glimpses during his encounter with Marley\'s Ghost."', 'source_id': 'chunk-cb661c37436355ccec2769b1d0350c5f'} -2024-10-29 13:33:49,226 - lightrag - INFO - _do_upsert:query: - MERGE (n:`THE CLOCK`) + :result:{'entity_type': '"EVENT"', 'description': '"The Three Spirits are the apparitions that Jacob Marley warns Scrooge about, who will visit him to guide him toward redemption.""The Three Spirits refer to the supernatural beings that are prophesied to visit Scrooge, each representing different aspects of time and morality."', 'source_id': 'chunk-cb661c37436355ccec2769b1d0350c5f'} +2024-10-30 05:09:30,511 - lightrag - INFO - _do_upsert:query: + MERGE (n:`THE PHANTOM VOICES`) SET n += $properties RETURN n - :result:{'entity_type': '"TECHNOLOGY"', 'description': '"The Clock is a device that malfunctions, contributing to Scrooge\'s confusion about time and reality in the narrative.""The Clock is mentioned as malfunctioning, which symbolizes the confusion and distortion of time that Scrooge experiences during his nighttime visitations."', 'source_id': 'chunk-c7b10789a9cb0af6c553730b29bd9034chunk-cb661c37436355ccec2769b1d0350c5f'} -2024-10-29 13:33:49,502 - lightrag - INFO - _do_upsert:query: + :result:{'entity_type': '"EVENT"', 'description': '"The Phantom Voices refer to the sorrowful sounds of lamentation that Scrooge hears as the apparitions wander, representing lost opportunities and regret."', 'source_id': 'chunk-cb661c37436355ccec2769b1d0350c5f'} +2024-10-30 05:09:30,643 - lightrag - INFO - get_node:query:MATCH (n:`THE WINDOW`) RETURN n:result: +2024-10-30 05:09:30,781 - lightrag - INFO - _do_upsert:query: MERGE (n:`THE WINDOW`) SET n += $properties RETURN n - :result:{'entity_type': '"CONCEPT"', 'description': '"The Window represents a threshold between the visible and invisible worlds, allowing Scrooge a view into the realm of spirits and their lamentations."', 'source_id': 'chunk-cb661c37436355ccec2769b1d0350c5f'} -2024-10-29 13:33:49,775 - lightrag - INFO - _do_upsert:query: - MERGE (n:`THE AIR`) + :result:{'entity_type': '"GEO"', 'description': '"The Window is a physical presence in Scrooge\'s chamber that he approaches to observe the supernatural occurrences outside.""The Window represents a threshold between the visible and invisible worlds, allowing Scrooge a view into the realm of spirits and their lamentations."', 'source_id': 'chunk-cb661c37436355ccec2769b1d0350c5f'} +2024-10-30 05:09:30,918 - lightrag - INFO - get_node:query:MATCH (n:`THE CLOCK`) RETURN n:result:"The Clock is mentioned as malfunctioning, which symbolizes the confusion and distortion of time that Scrooge experiences during his nighttime visitations."', 'source_id': 'chunk-c7b10789a9cb0af6c553730b29bd9034chunk-cb661c37436355ccec2769b1d0350c5f'}> +2024-10-30 05:09:31,054 - lightrag - INFO - _do_upsert:query: + MERGE (n:`THE CLOCK`) SET n += $properties RETURN n - :result:{'entity_type': '"CONCEPT"', 'description': '"The Air is described as filled with phantoms, representing the haunting nature of Scrooge\'s past choices and regrets."', 'source_id': 'chunk-cb661c37436355ccec2769b1d0350c5f'} -2024-10-29 13:33:50,048 - lightrag - INFO - _do_upsert:query: - MERGE (n:`THE PHANTOMS`) + :result:{'entity_type': '"GEO"', 'description': '"The Clock is a device that malfunctions, contributing to Scrooge\'s confusion about time and reality in the narrative.""The Clock is mentioned as malfunctioning, which symbolizes the confusion and distortion of time that Scrooge experiences during his nighttime visitations.""The Clock serves as a symbol of time passing, reflecting Scrooge\'s disorientation regarding time as he transitions between reality and the supernatural.""The Clock signifies the passage of time during the Domestic Ball and plays a role in marking the end of the celebration."', 'source_id': 'chunk-cb661c37436355ccec2769b1d0350c5fchunk-c7b10789a9cb0af6c553730b29bd9034chunk-b2f98bc7abb0c67d4c86055c7fd72218'} +2024-10-30 05:09:31,191 - lightrag - INFO - get_node:query:MATCH (n:`THE DARKNESS`) RETURN n:result: +2024-10-30 05:09:31,331 - lightrag - INFO - _do_upsert:query: + MERGE (n:`THE DARKNESS`) SET n += $properties RETURN n - :result:{'entity_type': '"PERSON"', 'description': '"The Phantoms are spirits that wander restlessly, symbolizing lost opportunities and unresolved issues from their past lives."', 'source_id': 'chunk-cb661c37436355ccec2769b1d0350c5f'} -2024-10-29 13:33:50,322 - lightrag - INFO - _do_upsert:query: - MERGE (n:`THE DARK NIGHT`) + :result:{'entity_type': '"CONCEPT"', 'description': '"The Darkness refers to the absence of light, signifying uncertainty and fear in Scrooge\'s transformation journey.""The Darkness symbolizes the confusion and the unknown that envelops Scrooge as he faces the reality of his past, present, and future."', 'source_id': 'chunk-cb661c37436355ccec2769b1d0350c5f'} +2024-10-30 05:09:31,597 - lightrag - INFO - _do_upsert:query: + MERGE (n:`CLOCK`) SET n += $properties RETURN n - :result:{'entity_type': '"CONCEPT"', 'description': '"The Dark Night signifies the ominous and mysterious setting during which Scrooge faces his fears and experiences the supernatural."', 'source_id': 'chunk-cb661c37436355ccec2769b1d0350c5f'} -2024-10-29 13:33:50,601 - lightrag - INFO - _do_upsert:query: - MERGE (n:`WAILINGS`) + :result:{'entity_type': '"ORGANIZATION"', 'description': '"The Clock symbolizes the passage of time and plays a pivotal role in establishing the moments of Scrooge\'s experience with the Ghost."', 'source_id': 'chunk-c7b10789a9cb0af6c553730b29bd9034'} +2024-10-30 05:09:31,730 - lightrag - INFO - get_node:query:MATCH (n:`HOLLY`) RETURN n:result:"Holly is a plant associated with Christmas, mentioned among other decorations that contribute to the festive atmosphere."', 'source_id': 'chunk-843b5b2f944c7413d9ca876e2e2f151fchunk-99b0ec7f7e006561352b5d65e849611d'}> +2024-10-30 05:09:31,875 - lightrag - INFO - _do_upsert:query: + MERGE (n:`HOLLY`) SET n += $properties RETURN n - :result:{'entity_type': '"EVENT"', 'description': '"Wailings represent the sorrowful expressions of the phantoms, illustrating the pain and regret of spirits bound by their earthly actions."', 'source_id': 'chunk-cb661c37436355ccec2769b1d0350c5f'} -2024-10-29 13:33:50,871 - lightrag - INFO - _do_upsert:query: - MERGE (n:`THE DOOR`) + :result:{'entity_type': '"ORGANIZATION"', 'description': '"Holly is a plant associated with Christmas, featured prominently in the Spirit\'s attire, symbolizing joy and celebration during the festive season.""Holly is a plant associated with Christmas, mentioned among other decorations that contribute to the festive atmosphere.""Holly is a symbol held by The Ghost, representing peace and goodwill, contrasting with the cold wintry atmosphere around Scrooge.""Holly is mentioned as part of the traditional decorations associated with Christmas, symbolizing festivity.""Holly represents a traditional decoration associated with Christmas, symbolizing festivity and the presence of the Christmas spirit."', 'source_id': 'chunk-c7b10789a9cb0af6c553730b29bd9034chunk-99b0ec7f7e006561352b5d65e849611dchunk-843b5b2f944c7413d9ca876e2e2f151f'} +2024-10-30 05:09:32,014 - lightrag - INFO - get_node:query:MATCH (n:`LIGHT`) RETURN n:result: +2024-10-30 05:09:32,154 - lightrag - INFO - _do_upsert:query: + MERGE (n:`LIGHT`) SET n += $properties RETURN n - :result:{'entity_type': '"CONCEPT"', 'description': '"The Door is described as being double locked, representing Scrooge’s isolation and the barriers he has built around himself in life."', 'source_id': 'chunk-cb661c37436355ccec2769b1d0350c5f'} -2024-10-29 13:33:51,143 - lightrag - INFO - _do_upsert:query: - MERGE (n:`THE SPIRITS`) + :result:{'entity_type': '"CONCEPT"', 'description': '"Light emanates from The Visitor, symbolizing clarity, revelation, and the supernatural, contrasting with the darkness around Scrooge\'s situation.""Light is a prominent feature associated with The Ghost, symbolizing knowledge and revelation, illuminating the darkness of Scrooge\'s ignorance."', 'source_id': 'chunk-c7b10789a9cb0af6c553730b29bd9034'} +2024-10-30 05:09:32,425 - lightrag - INFO - _do_upsert:query: + MERGE (n:`WINTER`) SET n += $properties RETURN n - :result:{'entity_type': '"CONCEPT"', 'description': '"The Spirits collectively represent the supernatural forces that seek to guide and teach Scrooge about the impact of his life choices.""The Spirits represent the past, present, and future in Scrooge\'s life, guiding him toward redemption and self-reflection."', 'source_id': 'chunk-90b95db5c53e4364a6bee36b7aa4d70fchunk-cb661c37436355ccec2769b1d0350c5f'} -2024-10-29 13:33:51,416 - lightrag - INFO - _do_upsert:query: - MERGE (n:`THE GHOSTLY VISITATIONS`) + :result:{'entity_type': '"GEO"', 'description': '"Winter represents the cold and bleak environment that surrounds Scrooge during his nighttime encounters with the supernatural."', 'source_id': 'chunk-c7b10789a9cb0af6c553730b29bd9034'} +2024-10-30 05:09:32,556 - lightrag - INFO - get_node:query:MATCH (n:`THE DRESSING-GOWN`) RETURN n:result: +2024-10-30 05:09:32,691 - lightrag - INFO - _do_upsert:query: + MERGE (n:`THE DRESSING-GOWN`) SET n += $properties RETURN n - :result:{'entity_type': '"EVENT"', 'description': '"The Ghostly Visitations are the anticipated encounters that Scrooge must endure as part of his journey toward redemption."', 'source_id': 'chunk-cb661c37436355ccec2769b1d0350c5f'} -2024-10-29 13:33:51,702 - lightrag - INFO - _do_upsert:query: - MERGE (n:`EBENEZER`) + :result:{'entity_type': '"ORGANIZATION"', 'description': '"The Dressing-Gown is worn by Scrooge, illustrating his solitary, night-time routine and emphasizing his isolation.""The Dressing-Gown is worn by Scrooge, symbolizing his state of vulnerability and introspection as he grapples with profound ideas in the narrative."', 'source_id': 'chunk-c7b10789a9cb0af6c553730b29bd9034chunk-9c43dac2fcd5b578242d907ea6f8fc7b'} +2024-10-30 05:09:32,960 - lightrag - INFO - _do_upsert:query: + MERGE (n:`TUNIC`) SET n += $properties RETURN n - :result:{'entity_type': '"PERSON"', 'description': '"Ebenezer is a character who reflects on his past with fondness, remembering his former self and his connection to Dick Wilkins.""Ebenezer refers to Scrooge\'s full name, emphasizing his identity and character as a miser who learns valuable life lessons."', 'source_id': 'chunk-8bc1edd983869352d14cf0886a9175a7chunk-cb661c37436355ccec2769b1d0350c5f'} -2024-10-29 13:33:51,981 - lightrag - INFO - _do_upsert:query: - MERGE (n:`THE PENANCE`) + :result:{'entity_type': '"CONCEPT"', 'description': '"The Tunic is part of The Ghost\'s attire, signifying purity and heavenly qualities in contrast to Scrooge\'s current state."', 'source_id': 'chunk-c7b10789a9cb0af6c553730b29bd9034'} +2024-10-30 05:09:33,234 - lightrag - INFO - _do_upsert:query: + MERGE (n:`BELL`) SET n += $properties RETURN n - :result:{'entity_type': '"CONCEPT"', 'description': '"The Penance refers to the moral and emotional suffering that Marley\'s Ghost must endure due to his past actions, prompting Scrooge\'s journey of redemption."', 'source_id': 'chunk-cb661c37436355ccec2769b1d0350c5f'} -2024-10-29 13:33:52,268 - lightrag - INFO - _do_upsert:query: - MERGE (n:`THE TRANSPARENT WINDOW`) + :result:{'entity_type': '"EVENT"', 'description': '"The Bell signifies the passage of time and is crucial in alerting Scrooge to the hour of visitation by The Ghost."', 'source_id': 'chunk-c7b10789a9cb0af6c553730b29bd9034'} +2024-10-30 05:09:33,510 - lightrag - INFO - _do_upsert:query: + MERGE (n:`CLOCK'S STRIKE`) SET n += $properties RETURN n - :result:{'entity_type': '"CONCEPT"', 'description': '"The Transparent Window symbolizes the blurred line between the known and the supernatural, reflecting Scrooge’s struggle to understand his experiences."', 'source_id': 'chunk-cb661c37436355ccec2769b1d0350c5f'} -2024-10-29 13:33:52,546 - lightrag - INFO - _do_upsert:query: - MERGE (n:`THE DARKNESS`) + :result:{'entity_type': '"EVENT"', 'description': '"The Clock\'s Strike is an event marking significant moments throughout the narrative, emphasizing the theme of time."', 'source_id': 'chunk-c7b10789a9cb0af6c553730b29bd9034'} +2024-10-30 05:09:33,641 - lightrag - INFO - get_node:query:MATCH (n:`DREAM`) RETURN n:result: +2024-10-30 05:09:33,777 - lightrag - INFO - _do_upsert:query: + MERGE (n:`DREAM`) SET n += $properties RETURN n - :result:{'entity_type': '"CONCEPT"', 'description': '"The Darkness refers to the absence of light, signifying uncertainty and fear in Scrooge\'s transformation journey."', 'source_id': 'chunk-cb661c37436355ccec2769b1d0350c5f'} -2024-10-29 13:33:52,822 - lightrag - INFO - _do_upsert:query: - MERGE (n:`THE VISITOR`) + :result:{'entity_type': '"CONCEPT"', 'description': '"Dream refers to Scrooge\'s mental conflict regarding whether the spectral encounters are real or figments of his imagination.""Dream refers to the possibility that Scrooge\'s experiences are a figment of his imagination, reflecting his internal struggle with reality and perception."', 'source_id': 'chunk-c7b10789a9cb0af6c553730b29bd9034'} +2024-10-30 05:09:34,050 - lightrag - INFO - _do_upsert:query: + MERGE (n:`DING DONG`) SET n += $properties RETURN n - :result:{'entity_type': '"PERSON"', 'description': '"The Visitor is a mysterious figure that appears to Scrooge; it possesses qualities of both youth and age, signifying the blend of time and supernatural elements."', 'source_id': 'chunk-c7b10789a9cb0af6c553730b29bd9034'} -2024-10-29 13:33:53,098 - lightrag - INFO - _do_upsert:query: - MERGE (n:`THE SPRING`) + :result:{'entity_type': '"EVENT"', 'description': '"Ding Dong represents the sound of the clock chimes, anchoring the reader in time and emphasizing the moments of realization for Scrooge."', 'source_id': 'chunk-c7b10789a9cb0af6c553730b29bd9034'} +2024-10-30 05:09:34,325 - lightrag - INFO - _do_upsert:query: + MERGE (n:`TIME`) SET n += $properties RETURN n - :result:{'entity_type': '"TECHNOLOGY"', 'description': '"The Spring is a mechanism within The Clock that Scrooge touches to correct its malfunction, highlighting his engagement with technology amid his confusion about time."', 'source_id': 'chunk-c7b10789a9cb0af6c553730b29bd9034'} -2024-10-29 13:33:53,367 - lightrag - INFO - _do_upsert:query: - MERGE (n:`BED CURTAINS`) + :result:{'entity_type': '"CONCEPT"', 'description': '"Time is a central theme, with characters reflecting on its passage and significance in relation to life and revelations."', 'source_id': 'chunk-c7b10789a9cb0af6c553730b29bd9034'} +2024-10-30 05:09:34,462 - lightrag - INFO - get_node:query:MATCH (n:`THE SPIRIT`) RETURN n:result:"The Spirit is the entity that guides Scrooge through memories, prompting reflections on his past during the Christmas season.""The Spirit refers to an embodiment of the Christmas message that represents moral guidance and introspection in Scrooge\'s life.""The Spirit refers to the Ghost of Christmas Present, a supernatural figure that guides Scrooge through lessons about generosity and community.""The Spirit refers to the supernatural essence of the Ghost of Christmas Past, embodying the idea of reflection and memory.""The Spirit refers to the supernatural influences that visit Scrooge, particularly the second of the Three Spirits.""The Spirit represents the essence of Christmas cheer and generosity, influencing the atmosphere and morale during the feast.""The Spirit represents the supernatural presence urging Scrooge to reflect deeply on the consequences of his life choices, particularly in relation to Death."', 'source_id': 'chunk-b2f98bc7abb0c67d4c86055c7fd72218chunk-e1f29eeadc1d8ab46dc8a0bbd3c56b64chunk-b0f459f5af1c3a5e0b92cbe4ee48b77bchunk-8590d9263cd2cd4fa583c432fc54e6c3chunk-91572b3cd42786ba4cb2f180ca25cbf4chunk-da2472b4ef2a535b62908f14d0fb0ca9chunk-91614df5cb74cbe5e109a338a82041e9chunk-19d72c57ae3408758b18d2568e86dc6b'}> +2024-10-30 05:09:34,606 - lightrag - INFO - _do_upsert:query: + MERGE (n:`THE SPIRIT`) SET n += $properties RETURN n - :result:{'entity_type': '"TECHNOLOGY"', 'description': '"The Bed Curtains are part of Scrooge\'s bedroom that are drawn aside, heralding the appearance of The Visitor and creating a pivotal moment in the narrative."', 'source_id': 'chunk-c7b10789a9cb0af6c553730b29bd9034'} -2024-10-29 13:33:53,638 - lightrag - INFO - _do_upsert:query: - MERGE (n:`LIGHT`) + :result:{'entity_type': '"ORGANIZATION"', 'description': '"The Spirit is a ghostly figure guiding Scrooge on a journey to witness the moments of cheer and resilience among people during Christmas, influencing his perspective.""The Spirit is the entity that guides Scrooge through memories, prompting reflections on his past during the Christmas season.""The Spirit refers to an embodiment of the Christmas message that represents moral guidance and introspection in Scrooge\'s life.""The Spirit refers to the Ghost of Christmas Present, a supernatural figure that guides Scrooge through lessons about generosity and community.""The Spirit refers to the supernatural essence of the Ghost of Christmas Past, embodying the idea of reflection and memory.""The Spirit refers to the supernatural influences that visit Scrooge, particularly the second of the Three Spirits.""The Spirit represents the essence of Christmas cheer and generosity, influencing the atmosphere and morale during the feast.""The Spirit represents the supernatural presence urging Scrooge to reflect deeply on the consequences of his life choices, particularly in relation to Death.""The Spirit is a supernatural entity guiding Scrooge through various scenarios, pushing him towards reflection and change.""The Spirit is portrayed as a phantom guiding Scrooge, representing the moral and existential queries of his life.""The Spirit refers to a ghostly figure guiding Scrooge through his memories, playing a vital role in his transformation.""The Spirit refers to the Ghost of Christmas Present, who observes and interacts with the gathering, influencing Scrooge\'s emotional journey.""The Spirit refers to the ghostly apparitions that guide Scrooge through his reflections on life, past, present, and future.""The Spirit refers to the moral lesson embodied by the Ghost that visits Scrooge, emphasizing compassion and the value of life.""The Spirit represents a guiding force encouraging Scrooge to introspect on his past and recognize the value of happiness.""The Spirit represents a supernatural presence that influences the mood of Christmas, promoting generosity and mirth during the holiday season.""The Spirit represents the collective essence of the Christmas spirits, signifying guidance, memory, and influence over personal transformation.""The Spirit serves as a guiding force in the narrative, helping Scrooge understand his history and the impact of his actions."', 'source_id': 'chunk-91614df5cb74cbe5e109a338a82041e9chunk-91572b3cd42786ba4cb2f180ca25cbf4chunk-e1f29eeadc1d8ab46dc8a0bbd3c56b64chunk-b0f459f5af1c3a5e0b92cbe4ee48b77bchunk-b2f98bc7abb0c67d4c86055c7fd72218chunk-da2472b4ef2a535b62908f14d0fb0ca9chunk-8590d9263cd2cd4fa583c432fc54e6c3chunk-19d72c57ae3408758b18d2568e86dc6bchunk-43c9bee23adfa77aa9dedd22401bba7dchunk-bb21d58d36c6306fd8810ddd51c4a971chunk-503f0bfa5453467c7c61d160a3540ecachunk-f1a4fbcf1ed86864b9bfd5e8dba4c683'} +2024-10-30 05:09:34,743 - lightrag - INFO - get_node:query:MATCH (n:`WINTER DAY`) RETURN n:result: +2024-10-30 05:09:34,881 - lightrag - INFO - _do_upsert:query: + MERGE (n:`WINTER DAY`) SET n += $properties RETURN n - :result:{'entity_type': '"CONCEPT"', 'description': '"Light emanates from The Visitor, symbolizing clarity, revelation, and the supernatural, contrasting with the darkness around Scrooge\'s situation."', 'source_id': 'chunk-c7b10789a9cb0af6c553730b29bd9034'} -2024-10-29 13:33:53,915 - lightrag - INFO - _do_upsert:query: - MERGE (n:`HOLLY BRANCH`) + :result:{'entity_type': '"EVENT"', 'description': '"The Winter Day signifies the seasonal setting during Scrooge\'s journey through his memories, highlighting a clear, cold atmosphere filled with nostalgia.""The winter day serves as the setting for Scrooge\'s journey with the Ghost, representing a time for reflection and nostalgia."', 'source_id': 'chunk-bb21d58d36c6306fd8810ddd51c4a971'} +2024-10-30 05:09:35,021 - lightrag - INFO - get_node:query:MATCH (n:`MARKET-TOWN`) RETURN n:result: +2024-10-30 05:09:35,159 - lightrag - INFO - _do_upsert:query: + MERGE (n:`MARKET-TOWN`) SET n += $properties RETURN n - :result:{'entity_type': '"TECHNOLOGY"', 'description': '"The Holly Branch is held by The Visitor, representing the duality of winter and spring, life and death, embodying the hope of renewal."', 'source_id': 'chunk-c7b10789a9cb0af6c553730b29bd9034'} -2024-10-29 13:33:54,188 - lightrag - INFO - _do_upsert:query: - MERGE (n:`DREAM`) + :result:{'entity_type': '"GEO"', 'description': '"The Market-Town is a nostalgic location from Scrooge\'s youth, evoking memories and emotions tied to his childhood.""The market-town appears in Scrooge\'s memories as a significant place from his childhood, representing a connection to his past."', 'source_id': 'chunk-bb21d58d36c6306fd8810ddd51c4a971'} +2024-10-30 05:09:35,434 - lightrag - INFO - _do_upsert:query: + MERGE (n:`BOYS`) SET n += $properties RETURN n - :result:{'entity_type': '"CONCEPT"', 'description': '"Dream refers to the possibility that Scrooge\'s experiences are a figment of his imagination, reflecting his internal struggle with reality and perception."', 'source_id': 'chunk-c7b10789a9cb0af6c553730b29bd9034'} -2024-10-29 13:33:54,456 - lightrag - INFO - _do_upsert:query: - MERGE (n:`MARKET-TOWN`) + :result:{'entity_type': '"PERSON"', 'description': '"The boys are depicted as cheerful characters riding ponies, contributing to the joyful atmosphere and memories of Scrooge\'s past."', 'source_id': 'chunk-bb21d58d36c6306fd8810ddd51c4a971'} +2024-10-30 05:09:35,709 - lightrag - INFO - _do_upsert:query: + MERGE (n:`SHAGGY PONIES`) SET n += $properties RETURN n - :result:{'entity_type': '"GEO"', 'description': '"The Market-Town is a nostalgic location from Scrooge\'s youth, evoking memories and emotions tied to his childhood."', 'source_id': 'chunk-bb21d58d36c6306fd8810ddd51c4a971'} -2024-10-29 13:33:54,726 - lightrag - INFO - _do_upsert:query: - MERGE (n:`WINTER DAY`) + :result:{'entity_type': '"GEO"', 'description': '"Shaggy ponies are mentioned as part of the scene, representing the innocent and playful aspects of Scrooge\'s childhood."', 'source_id': 'chunk-bb21d58d36c6306fd8810ddd51c4a971'} +2024-10-30 05:09:35,984 - lightrag - INFO - _do_upsert:query: + MERGE (n:`BRIDGE`) SET n += $properties RETURN n - :result:{'entity_type': '"EVENT"', 'description': '"The Winter Day signifies the seasonal setting during Scrooge\'s journey through his memories, highlighting a clear, cold atmosphere filled with nostalgia."', 'source_id': 'chunk-bb21d58d36c6306fd8810ddd51c4a971'} -2024-10-29 13:33:55,000 - lightrag - INFO - _do_upsert:query: - MERGE (n:`CHILDREN`) + :result:{'entity_type': '"GEO"', 'description': '"The bridge is a landmark in the market-town that Scrooge recognizes from his childhood, symbolizing a connection to his past."', 'source_id': 'chunk-bb21d58d36c6306fd8810ddd51c4a971'} +2024-10-30 05:09:36,261 - lightrag - INFO - _do_upsert:query: + MERGE (n:`CHURCH`) SET n += $properties RETURN n - :result:{'entity_type': '"PERSON"', 'description': '"The Children represent innocence and purity, highlighted as victims of societal neglect and calling for compassion from Scrooge.""The Children represent the joyful, carefree aspects of Scrooge\'s past, embodying happiness and the innocence of youth that he has long forgotten."', 'source_id': 'chunk-bb21d58d36c6306fd8810ddd51c4a971chunk-e7637ff18c5ded77a68cce0a87883fad'} -2024-10-29 13:33:55,272 - lightrag - INFO - _do_upsert:query: - MERGE (n:`SCHOOL`) + :result:{'entity_type': '"GEO"', 'description': '"The church is another landmark in the market-town representing tradition and community significant to Scrooge\'s memories."', 'source_id': 'chunk-bb21d58d36c6306fd8810ddd51c4a971'} +2024-10-30 05:09:36,540 - lightrag - INFO - _do_upsert:query: + MERGE (n:`WINDING RIVER`) SET n += $properties RETURN n - :result:{'entity_type': '"ORGANIZATION"', 'description': '"The School is a location associated with Scrooge\'s neglected childhood, symbolizing loneliness and lost opportunities for connection and joy."', 'source_id': 'chunk-bb21d58d36c6306fd8810ddd51c4a971'} -2024-10-29 13:33:55,547 - lightrag - INFO - _do_upsert:query: + :result:{'entity_type': '"GEO"', 'description': '"The winding river is part of the landscape Scrooge recalls, tying into his emotions of nostalgia and remembrance of home."', 'source_id': 'chunk-bb21d58d36c6306fd8810ddd51c4a971'} +2024-10-30 05:09:36,674 - lightrag - INFO - get_node:query:MATCH (n:`ALI BABA`) RETURN n:result: +2024-10-30 05:09:36,814 - lightrag - INFO - _do_upsert:query: MERGE (n:`ALI BABA`) SET n += $properties RETURN n - :result:{'entity_type': '"PERSON"', 'description': '"Ali Baba is mentioned as a character from a story that impacts Scrooge during his reflection on Christmas and childhood."', 'source_id': 'chunk-8590d9263cd2cd4fa583c432fc54e6c3'} -2024-10-29 13:33:55,841 - lightrag - INFO - _do_upsert:query: + :result:{'entity_type': '"PERSON"', 'description': '"Ali Baba is a character from a story recalled by Scrooge, representing memories of adventure and kindness during Christmas.""Ali Baba is mentioned as a character from a story that impacts Scrooge during his reflection on Christmas and childhood."', 'source_id': 'chunk-8590d9263cd2cd4fa583c432fc54e6c3'} +2024-10-30 05:09:36,954 - lightrag - INFO - get_node:query:MATCH (n:`VALENTINE`) RETURN n:result: +2024-10-30 05:09:37,091 - lightrag - INFO - _do_upsert:query: MERGE (n:`VALENTINE`) SET n += $properties RETURN n - :result:{'entity_type': '"PERSON"', 'description': '"Valentine is referenced as a brother of a character, and his presence contributes to the holiday memories Scrooge recalls."', 'source_id': 'chunk-8590d9263cd2cd4fa583c432fc54e6c3'} -2024-10-29 13:33:56,118 - lightrag - INFO - _do_upsert:query: + :result:{'entity_type': '"PERSON"', 'description': '"Valentine is mentioned as a character associated with Scrooge\'s childhood memories, indicating the depth of his nostalgia.""Valentine is referenced as a brother of a character, and his presence contributes to the holiday memories Scrooge recalls."', 'source_id': 'chunk-8590d9263cd2cd4fa583c432fc54e6c3'} +2024-10-30 05:09:37,223 - lightrag - INFO - get_node:query:MATCH (n:`ORSON`) RETURN n:result: +2024-10-30 05:09:37,364 - lightrag - INFO - _do_upsert:query: MERGE (n:`ORSON`) SET n += $properties RETURN n - :result:{'entity_type': '"PERSON"', 'description': '"Orson is mentioned as another brother mentioned by Scrooge, recalling his childhood tales and adventures."', 'source_id': 'chunk-8590d9263cd2cd4fa583c432fc54e6c3'} -2024-10-29 13:33:56,384 - lightrag - INFO - _do_upsert:query: - MERGE (n:`ROBIN CRUSOE`) - SET n += $properties - RETURN n - :result:{'entity_type': '"PERSON"', 'description': '"Robin Crusoe is a character referenced by Scrooge as part of his memories, signifying tales of adventure and nostalgia."', 'source_id': 'chunk-8590d9263cd2cd4fa583c432fc54e6c3'} -2024-10-29 13:33:56,998 - lightrag - INFO - _do_upsert:query: - MERGE (n:`FRIDAY`) - SET n += $properties - RETURN n - :result:{'entity_type': '"PERSON"', 'description': '"Friday is another character from a story mentioned by Scrooge during his nostalgic recollections of childhood."', 'source_id': 'chunk-8590d9263cd2cd4fa583c432fc54e6c3'} -2024-10-29 13:33:57,977 - lightrag - INFO - _do_upsert:query: - MERGE (n:`THE MANSION`) - SET n += $properties - RETURN n - :result:{'entity_type': '"GEO"', 'description': '"The Mansion is described as a large house of dull red brick, associated with Scrooge\'s childhood memories and reflecting the state of neglect."', 'source_id': 'chunk-8590d9263cd2cd4fa583c432fc54e6c3'} -2024-10-29 13:33:58,568 - lightrag - INFO - _do_upsert:query: - MERGE (n:`THE SPIRIT`) - SET n += $properties - RETURN n - :result:{'entity_type': '"ORGANIZATION"', 'description': '"The Spirit is a ghostly figure guiding Scrooge on a journey to witness the moments of cheer and resilience among people during Christmas, influencing his perspective.""The Spirit is the entity that guides Scrooge through memories, prompting reflections on his past during the Christmas season.""The Spirit refers to an embodiment of the Christmas message that represents moral guidance and introspection in Scrooge\'s life.""The Spirit refers to the Ghost of Christmas Present, a supernatural figure that guides Scrooge through lessons about generosity and community.""The Spirit refers to the supernatural essence of the Ghost of Christmas Past, embodying the idea of reflection and memory.""The Spirit refers to the supernatural influences that visit Scrooge, particularly the second of the Three Spirits.""The Spirit represents the essence of Christmas cheer and generosity, influencing the atmosphere and morale during the feast.""The Spirit represents the supernatural presence urging Scrooge to reflect deeply on the consequences of his life choices, particularly in relation to Death."', 'source_id': 'chunk-b2f98bc7abb0c67d4c86055c7fd72218chunk-e1f29eeadc1d8ab46dc8a0bbd3c56b64chunk-b0f459f5af1c3a5e0b92cbe4ee48b77bchunk-8590d9263cd2cd4fa583c432fc54e6c3chunk-91572b3cd42786ba4cb2f180ca25cbf4chunk-da2472b4ef2a535b62908f14d0fb0ca9chunk-91614df5cb74cbe5e109a338a82041e9chunk-19d72c57ae3408758b18d2568e86dc6b'} -2024-10-29 13:33:59,347 - lightrag - INFO - _do_upsert:query: - MERGE (n:`THE SOLITARY CHILD`) + :result:{'entity_type': '"PERSON"', 'description': '"Orson is mentioned as another brother mentioned by Scrooge, recalling his childhood tales and adventures.""Orson, the wild brother of Valentine, is another figure from Scrooge\'s past, representing familial connections and memories."', 'source_id': 'chunk-8590d9263cd2cd4fa583c432fc54e6c3'} +2024-10-30 05:09:37,647 - lightrag - INFO - _do_upsert:query: + MERGE (n:`MANSION`) SET n += $properties RETURN n - :result:{'entity_type': '"PERSON"', 'description': '"The Solitary Child is a representation of Scrooge\'s younger self, neglected and alone in the school during Christmas, evoking emotions of sympathy and regret."', 'source_id': 'chunk-8590d9263cd2cd4fa583c432fc54e6c3'} -2024-10-29 13:33:59,895 - lightrag - INFO - _do_upsert:query: - MERGE (n:`THE LITTLE GIRL`) + :result:{'entity_type': '"GEO"', 'description': '"The Mansion is a large house described as being in a state of decay and neglect, serving as a setting for Scrooge\'s memories."', 'source_id': 'chunk-8590d9263cd2cd4fa583c432fc54e6c3'} +2024-10-30 05:09:37,922 - lightrag - INFO - _do_upsert:query: + MERGE (n:`CHILD`) SET n += $properties RETURN n - :result:{'entity_type': '"PERSON"', 'description': '"The Little Girl is mentioned as appearing at the door, representing innocence and the enduring spirit of Christmas that contrasts with Scrooge\'s past."', 'source_id': 'chunk-8590d9263cd2cd4fa583c432fc54e6c3'} -2024-10-29 13:34:00,164 - lightrag - INFO - _do_upsert:query: - MERGE (n:`THE STABLES`) + :result:{'entity_type': '"PERSON"', 'description': '"The Child is a solitary figure leaving in the school, representing loneliness and the emotions tied to Scrooge\'s memories of his younger self."', 'source_id': 'chunk-8590d9263cd2cd4fa583c432fc54e6c3'} +2024-10-30 05:09:38,054 - lightrag - INFO - get_node:query:MATCH (n:`ROBIN CRUSOE`) RETURN n:result: +2024-10-30 05:09:38,191 - lightrag - INFO - _do_upsert:query: + MERGE (n:`ROBIN CRUSOE`) SET n += $properties RETURN n - :result:{'entity_type': '"GEO"', 'description': '"The Stables are part of the Mansion\'s property, depicting the state of the neglected estate and surroundings."', 'source_id': 'chunk-8590d9263cd2cd4fa583c432fc54e6c3'} -2024-10-29 13:34:00,440 - lightrag - INFO - _do_upsert:query: - MERGE (n:`THE CHILLY HALL`) + :result:{'entity_type': '"PERSON"', 'description': '"Robin Crusoe is a character from literature that Scrooge remembers fondly, illustrating his connection to stories of adventure and survival.""Robin Crusoe is a character referenced by Scrooge as part of his memories, signifying tales of adventure and nostalgia."', 'source_id': 'chunk-8590d9263cd2cd4fa583c432fc54e6c3'} +2024-10-30 05:09:38,324 - lightrag - INFO - get_node:query:MATCH (n:`FRIDAY`) RETURN n:result: +2024-10-30 05:09:38,468 - lightrag - INFO - _do_upsert:query: + MERGE (n:`FRIDAY`) SET n += $properties RETURN n - :result:{'entity_type': '"GEO"', 'description': '"The Chilly Hall is the entrance area of the Mansion where Scrooge begins to reflect on his past."', 'source_id': 'chunk-8590d9263cd2cd4fa583c432fc54e6c3'} -2024-10-29 13:34:00,712 - lightrag - INFO - _do_upsert:query: - MERGE (n:`THE EMPTY STOREHOUSE`) + :result:{'entity_type': '"PERSON"', 'description': '"Friday is another character from a story mentioned by Scrooge during his nostalgic recollections of childhood.""Friday is another character from the story of Robin Crusoe, noted in Scrooge\'s memories, indicating the impact of literature on his nostalgia."', 'source_id': 'chunk-8590d9263cd2cd4fa583c432fc54e6c3'} +2024-10-30 05:09:38,731 - lightrag - INFO - _do_upsert:query: + MERGE (n:`THE PARROT`) SET n += $properties RETURN n - :result:{'entity_type': '"GEO"', 'description': '"The Empty Storehouse is mentioned as part of the Mansion, symbolizing decay and forgotten memories."', 'source_id': 'chunk-8590d9263cd2cd4fa583c432fc54e6c3'} -2024-10-29 13:34:00,988 - lightrag - INFO - _do_upsert:query: - MERGE (n:`GHOST`) + :result:{'entity_type': '"PERSON"', 'description': '"The Parrot is a character in Scrooge\'s memory tied to Robin Crusoe, representing Scrooge\'s whimsical recollections."', 'source_id': 'chunk-8590d9263cd2cd4fa583c432fc54e6c3'} +2024-10-30 05:09:38,881 - lightrag - INFO - get_node:query:MATCH (n:`DICK WILKINS`) RETURN n:result:"Dick Wilkins is Scrooge\'s fellow apprentice and close companion during his younger years, indicating camaraderie during their apprenticeship."', 'source_id': 'chunk-c6c248858d1b13ab7ee9ca13c1aeed6bchunk-8bc1edd983869352d14cf0886a9175a7'}> +2024-10-30 05:09:39,031 - lightrag - INFO - _do_upsert:query: + MERGE (n:`DICK WILKINS`) SET n += $properties RETURN n - :result:{'entity_type': '"PERSON"', 'description': '"The Ghost is a supernatural entity that provides guidance and reflection on Scrooge\'s past, representing moral and societal themes.""The Ghost refers to the spirit guiding Scrooge, embodying the themes of memory and reflection on the joys of Christmas.""The Ghost represents a spiritual guide that takes Scrooge on a journey to learn important lessons about compassion and humanity.""The Ghost serves as a supernatural guide for Scrooge, prompting him to reflect on his life and choices."', 'source_id': 'chunk-503f0bfa5453467c7c61d160a3540ecachunk-c6c248858d1b13ab7ee9ca13c1aeed6bchunk-e7637ff18c5ded77a68cce0a87883fadchunk-43c9bee23adfa77aa9dedd22401bba7d'} -2024-10-29 13:34:01,257 - lightrag - INFO - _do_upsert:query: - MERGE (n:`LITTLE FAN`) + :result:{'entity_type': '"PERSON"', 'description': '"Dick Wilkins is Ebenezer\'s fellow apprentice, with whom he shared a strong attachment during their youth.""Dick Wilkins is Scrooge\'s fellow apprentice and close companion during his younger years, indicating camaraderie during their apprenticeship.""Dick Wilkins is Scrooge\'s fellow apprentice, associated with Scrooge\'s past and the context of his earlier, more carefree life.""Dick Wilkins is a former apprentice of Scrooge, remembered fondly for his attachment to Scrooge."', 'source_id': 'chunk-c6c248858d1b13ab7ee9ca13c1aeed6bchunk-8bc1edd983869352d14cf0886a9175a7'} +2024-10-30 05:09:39,187 - lightrag - INFO - get_node:query:MATCH (n:`THE CITY`) RETURN n:result:"The City represents the bustling urban environment where Scrooge reflects on his past, filled with activity and shadowy figures.""The City, from which Scrooge is transported, represents his past life and is contrasted with the open country road that signifies his memories."', 'source_id': 'chunk-bb21d58d36c6306fd8810ddd51c4a971chunk-c6c248858d1b13ab7ee9ca13c1aeed6bchunk-74e2466de2f67fd710ef2f20c0a8d9e0'}> +2024-10-30 05:09:39,327 - lightrag - INFO - _do_upsert:query: + MERGE (n:`THE CITY`) SET n += $properties RETURN n - :result:{'entity_type': '"PERSON"', 'description': '"Little Fan is Scrooge\'s sister, who brings joy and an invitation to come home, representing innocence and familial love."', 'source_id': 'chunk-c6c248858d1b13ab7ee9ca13c1aeed6b'} -2024-10-29 13:34:01,520 - lightrag - INFO - _do_upsert:query: - MERGE (n:`DICK WILKINS`) + :result:{'entity_type': '"GEO"', 'description': '"The City provides the backdrop for Scrooge\'s story, representing the bustling environment that underscores his loneliness and detachment from society.""The City represents the bustling urban environment where Scrooge reflects on his past, filled with activity and shadowy figures.""The City, from which Scrooge is transported, represents his past life and is contrasted with the open country road that signifies his memories.""The City refers to the broader urban environment in which Scrooge operates and signifies the societal norms and attitudes towards Christmas.""The City represents the bustling urban environment where Scrooge\'s memories unfold, highlighting the contrast between his past and present."', 'source_id': 'chunk-74e2466de2f67fd710ef2f20c0a8d9e0chunk-c6c248858d1b13ab7ee9ca13c1aeed6bchunk-bb21d58d36c6306fd8810ddd51c4a971chunk-94bea83e7153fc2064aa382b494936a1'} +2024-10-30 05:09:39,608 - lightrag - INFO - _do_upsert:query: + MERGE (n:`HOME`) SET n += $properties RETURN n - :result:{'entity_type': '"PERSON"', 'description': '"Dick Wilkins is Ebenezer\'s fellow apprentice, with whom he shared a strong attachment during their youth.""Dick Wilkins is Scrooge\'s fellow apprentice and close companion during his younger years, indicating camaraderie during their apprenticeship."', 'source_id': 'chunk-c6c248858d1b13ab7ee9ca13c1aeed6bchunk-8bc1edd983869352d14cf0886a9175a7'} -2024-10-29 13:34:01,796 - lightrag - INFO - _do_upsert:query: - MERGE (n:`THE SCHOOLMASTER`) + :result:{'entity_type': '"CONCEPT"', 'description': '"Home represents the physical and emotional center for the family, where the Christmas celebration takes place.""Home symbolizes warmth, safety, and family connection, representing what Scrooge yearns for but has lost in his life."', 'source_id': 'chunk-c6c248858d1b13ab7ee9ca13c1aeed6bchunk-da2472b4ef2a535b62908f14d0fb0ca9'} +2024-10-30 05:09:39,877 - lightrag - INFO - _do_upsert:query: + MERGE (n:`COACH`) SET n += $properties RETURN n - :result:{'entity_type': '"PERSON"', 'description': '"The Schoolmaster is an authoritative figure who oversees Scrooge and the other boys, representing the harshness of education and discipline."', 'source_id': 'chunk-c6c248858d1b13ab7ee9ca13c1aeed6b'} -2024-10-29 13:34:02,064 - lightrag - INFO - _do_upsert:query: - MERGE (n:`MASTER SCROOGE`) + :result:{'entity_type': '"CONCEPT"', 'description': '"The Coach is a means of transport that signifies the transition from Scrooge\'s lonely past to the possibility of companionship and warmth."', 'source_id': 'chunk-c6c248858d1b13ab7ee9ca13c1aeed6b'} +2024-10-30 05:09:40,145 - lightrag - INFO - _do_upsert:query: + MERGE (n:`THE SCHOOL`) SET n += $properties RETURN n - :result:{'entity_type': '"PERSON"', 'description': '"Master Scrooge is the young version of Scrooge who is influenced by his environment and experiences during his schooling."', 'source_id': 'chunk-c6c248858d1b13ab7ee9ca13c1aeed6b'} -2024-10-29 13:34:02,335 - lightrag - INFO - _do_upsert:query: - MERGE (n:`FATHER`) + :result:{'entity_type': '"ORGANIZATION"', 'description': '"The School represents the institutional aspect of Scrooge\'s childhood, contrasting with the warmth and love represented by Fan."', 'source_id': 'chunk-c6c248858d1b13ab7ee9ca13c1aeed6b'} +2024-10-30 05:09:40,419 - lightrag - INFO - _do_upsert:query: + MERGE (n:`COLD`) SET n += $properties RETURN n - :result:{'entity_type': '"PERSON"', 'description': '"Father refers to Scrooge\'s father, who is noted for being kinder than before, allowing Scrooge to return home."', 'source_id': 'chunk-c6c248858d1b13ab7ee9ca13c1aeed6b'} -2024-10-29 13:34:02,609 - lightrag - INFO - _do_upsert:query: - MERGE (n:`THE CHAISE`) + :result:{'entity_type': '"CONCEPT"', 'description': '"Cold symbolizes the emotional detachment and isolation present in Scrooge\'s life, contrasting with the warmth of family and connection that he longs for."', 'source_id': 'chunk-c6c248858d1b13ab7ee9ca13c1aeed6b'} +2024-10-30 05:09:40,701 - lightrag - INFO - _do_upsert:query: + MERGE (n:`EVENING`) SET n += $properties RETURN n - :result:{'entity_type': '"ORGANIZATION"', 'description': '"The Chaise is the mode of transportation that takes Scrooge and Little Fan away from the school, symbolizing transition and change."', 'source_id': 'chunk-c6c248858d1b13ab7ee9ca13c1aeed6b'} -2024-10-29 13:34:02,880 - lightrag - INFO - _do_upsert:query: - MERGE (n:`THE WAREHOUSE`) + :result:{'entity_type': '"EVENT"', 'description': '"Evening represents a time of transition and reflection as Scrooge recalls his past and seeks transformation."', 'source_id': 'chunk-c6c248858d1b13ab7ee9ca13c1aeed6b'} +2024-10-30 05:09:40,836 - lightrag - INFO - get_node:query:MATCH (n:`THE PARTY`) RETURN n:result:"The Party refers to the potential gathering for the funeral, which the characters consider with amusement rather than sincerity."', 'source_id': 'chunk-94bea83e7153fc2064aa382b494936a1chunk-f1a4fbcf1ed86864b9bfd5e8dba4c683'}> +2024-10-30 05:09:40,977 - lightrag - INFO - _do_upsert:query: + MERGE (n:`THE PARTY`) SET n += $properties RETURN n - :result:{'entity_type': '"LOCATION"', 'description': '"The Warehouse is a specific location where Scrooge had previously apprenticed and holds significant memories for him.""The Warehouse is the setting for Fezziwig\'s celebrations, transformed into a ballroom for the festivities."', 'source_id': 'chunk-c6c248858d1b13ab7ee9ca13c1aeed6bchunk-8bc1edd983869352d14cf0886a9175a7'} -2024-10-29 13:34:03,152 - lightrag - INFO - _do_upsert:query: - MERGE (n:`THE DANCE`) + :result:{'entity_type': '"EVENT"', 'description': '"The Party is a festive gathering that celebrates Christmas, filled with games and joyful unity among friends and family.""The Party refers to the potential gathering for the funeral, which the characters consider with amusement rather than sincerity.""The Party refers to festive gatherings that Fezziwig hosts, showcasing joy and camaraderie during the Christmas season."', 'source_id': 'chunk-c6c248858d1b13ab7ee9ca13c1aeed6bchunk-94bea83e7153fc2064aa382b494936a1chunk-f1a4fbcf1ed86864b9bfd5e8dba4c683'} +2024-10-30 05:09:41,115 - lightrag - INFO - get_node:query:MATCH (n:`THE CHILDREN`) RETURN n:result: +2024-10-30 05:09:41,253 - lightrag - INFO - _do_upsert:query: + MERGE (n:`THE CHILDREN`) SET n += $properties RETURN n - :result:{'entity_type': '"EVENT"', 'description': '"The Dance organized by Fezziwig is a festive gathering involving various participants, showcasing joy and celebration during Christmas Eve."', 'source_id': 'chunk-8bc1edd983869352d14cf0886a9175a7'} -2024-10-29 13:34:03,414 - lightrag - INFO - _do_upsert:query: - MERGE (n:`THE BOY`) + :result:{'entity_type': '"PERSON"', 'description': '"The Children are a group experiencing feelings of wonder and delight during the gift-giving scene, highlighting innocence and joy.""The Children are a lively group in the matron\'s home, symbolizing joy, chaos, and familial warmth.""The Children in the Cratchit family represent innocence and curiosity, highlighting the effects of their family\'s struggles on their happiness.""The Children refer to the group of young individuals filled with wonder and delight during the Christmas festivities.""The Children serve as symbols of innocence and joy, representing the untainted happiness of childhood that Scrooge longs to reconnect with.""The children are the offspring of the Cratchit family, showcasing innocence and joy during the Christmas celebrations, reacting with laughter and cheer."', 'source_id': 'chunk-83ac129dc9b56f84c46760d153d68e93chunk-c6c248858d1b13ab7ee9ca13c1aeed6bchunk-19d72c57ae3408758b18d2568e86dc6bchunk-da2472b4ef2a535b62908f14d0fb0ca9chunk-54bdd22db1f84a965b5f4c06c9216d8d'} +2024-10-30 05:09:41,533 - lightrag - INFO - _do_upsert:query: + MERGE (n:`A COACH TO BRING YOU HOME`) SET n += $properties RETURN n - :result:{'entity_type': '"PERSON"', 'description': '"The Boy is a character mentioned briefly, who tries to hide behind another girl, indicating shyness among the festive crowd.""The Boy is a young messenger who interacts with Scrooge during his purchase of the turkey."', 'source_id': 'chunk-8f738cb25d60a7dab782162d9d0a25edchunk-8bc1edd983869352d14cf0886a9175a7'} -2024-10-29 13:34:03,683 - lightrag - INFO - _do_upsert:query: - MERGE (n:`THE GIRL`) + :result:{'entity_type': '"CONCEPT"', 'description': '"A Coach to Bring You Home symbolizes the hope and opportunity for reconnection and warmth in Scrooge\'s life."', 'source_id': 'chunk-c6c248858d1b13ab7ee9ca13c1aeed6b'} +2024-10-30 05:09:41,806 - lightrag - INFO - _do_upsert:query: + MERGE (n:`THE DANCERS`) SET n += $properties RETURN n - :result:{'entity_type': '"PERSON"', 'description': '"The Girl is a young servant who assists Scrooge at Fred\'s house.""The Girl is referenced in relation to The Boy, highlighting the dynamics of the young attendees at the Fezziwig\'s celebrations."', 'source_id': 'chunk-8f738cb25d60a7dab782162d9d0a25edchunk-8bc1edd983869352d14cf0886a9175a7'} -2024-10-29 13:34:03,952 - lightrag - INFO - _do_upsert:query: + :result:{'entity_type': '"ORGANIZATION"', 'description': '"The Dancers represent the lively group of people celebrating and participating in the festivities organized by Fezziwig."', 'source_id': 'chunk-8bc1edd983869352d14cf0886a9175a7'} +2024-10-30 05:09:41,940 - lightrag - INFO - get_node:query:MATCH (n:`THE FIDDLER`) RETURN n:result: +2024-10-30 05:09:42,085 - lightrag - INFO - _do_upsert:query: MERGE (n:`THE FIDDLER`) SET n += $properties RETURN n - :result:{'entity_type': '"PERSON"', 'description': '"The Fiddler is a musician who plays during the festivities, contributing to the atmosphere of joy and celebration."', 'source_id': 'chunk-8bc1edd983869352d14cf0886a9175a7'} -2024-10-29 13:34:04,222 - lightrag - INFO - _do_upsert:query: - MERGE (n:`MRS. FEZZIWIG'S THREE MISSES`) + :result:{'entity_type': '"PERSON"', 'description': '"The Fiddler is a musician who plays at Fezziwig\'s celebration, providing music for the dancers and contributing to the festive atmosphere.""The Fiddler is a musician who plays during the festivities, contributing to the atmosphere of joy and celebration."', 'source_id': 'chunk-8bc1edd983869352d14cf0886a9175a7'} +2024-10-30 05:09:42,354 - lightrag - INFO - _do_upsert:query: + MERGE (n:`THE THREE MISS FEZZIWIGS`) SET n += $properties RETURN n - :result:{'entity_type': '"PERSON"', 'description': '"Mrs. Fezziwig\'s Three Misses are her daughters, described as beaming and lovable, participating in the Christmas festivities."', 'source_id': 'chunk-8bc1edd983869352d14cf0886a9175a7'} -2024-10-29 13:34:04,495 - lightrag - INFO - _do_upsert:query: - MERGE (n:`THE YOUNG FOLLOWERS`) + :result:{'entity_type': '"PERSON"', 'description': '"The Three Miss Fezziwigs are jovial participants in the celebration, characterized by their lovable demeanor."', 'source_id': 'chunk-8bc1edd983869352d14cf0886a9175a7'} +2024-10-30 05:09:42,626 - lightrag - INFO - _do_upsert:query: + MERGE (n:`YOUNG FOLLOWERS`) SET n += $properties RETURN n - :result:{'entity_type': '"PERSON"', 'description': '"The Young Followers are young men and women employed by Fezziwig, who interact during the dances, showing youthful exuberance."', 'source_id': 'chunk-8bc1edd983869352d14cf0886a9175a7'} -2024-10-29 13:34:04,768 - lightrag - INFO - _do_upsert:query: + :result:{'entity_type': '"ORGANIZATION"', 'description': '"The Young Followers consist of several young men and women who are employed in Fezziwig\'s business and participate in the festivities."', 'source_id': 'chunk-8bc1edd983869352d14cf0886a9175a7'} +2024-10-30 05:09:42,757 - lightrag - INFO - get_node:query:MATCH (n:`THE HOUSEMAID`) RETURN n:result: +2024-10-30 05:09:42,896 - lightrag - INFO - _do_upsert:query: MERGE (n:`THE HOUSEMAID`) SET n += $properties RETURN n - :result:{'entity_type': '"PERSON"', 'description': '"The Housemaid is mentioned as part of the domestic staff involved in the celebration, contributing to the jovial atmosphere."', 'source_id': 'chunk-8bc1edd983869352d14cf0886a9175a7'} -2024-10-29 13:34:05,035 - lightrag - INFO - _do_upsert:query: + :result:{'entity_type': '"PERSON"', 'description': '"The Housemaid is a character present during the celebrations, contributing to the lively atmosphere of the evening.""The Housemaid is mentioned as part of the domestic staff involved in the celebration, contributing to the jovial atmosphere."', 'source_id': 'chunk-8bc1edd983869352d14cf0886a9175a7'} +2024-10-30 05:09:43,026 - lightrag - INFO - get_node:query:MATCH (n:`THE COOK`) RETURN n:result: +2024-10-30 05:09:43,163 - lightrag - INFO - _do_upsert:query: MERGE (n:`THE COOK`) SET n += $properties RETURN n - :result:{'entity_type': '"PERSON"', 'description': '"The Cook is part of the household and participates in the festive gathering, alongside other staff."', 'source_id': 'chunk-8bc1edd983869352d14cf0886a9175a7'} -2024-10-29 13:34:05,303 - lightrag - INFO - _do_upsert:query: + :result:{'entity_type': '"PERSON"', 'description': '"The Cook is another character involved in the celebrations, participating in the festivities alongside other guests.""The Cook is part of the household and participates in the festive gathering, alongside other staff."', 'source_id': 'chunk-8bc1edd983869352d14cf0886a9175a7'} +2024-10-30 05:09:43,296 - lightrag - INFO - get_node:query:MATCH (n:`THE BAKER`) RETURN n:result: +2024-10-30 05:09:43,439 - lightrag - INFO - _do_upsert:query: MERGE (n:`THE BAKER`) SET n += $properties RETURN n - :result:{'entity_type': '"PERSON"', 'description': '"The Baker is a cousin to the housemaid, indicating the interconnectedness of the household staff during the festivities."', 'source_id': 'chunk-8bc1edd983869352d14cf0886a9175a7'} -2024-10-29 13:34:05,573 - lightrag - INFO - _do_upsert:query: - MERGE (n:`COLD ROAST`) - SET n += $properties - RETURN n - :result:{'entity_type': '"FOOD"', 'description': '"Cold Roast is a dish served during the celebration, adding to the festive feast prepared by Fezziwig."', 'source_id': 'chunk-8bc1edd983869352d14cf0886a9175a7'} -2024-10-29 13:34:05,840 - lightrag - INFO - _do_upsert:query: - MERGE (n:`COLD BOILED`) + :result:{'entity_type': '"PERSON"', 'description': '"The Baker is a cousin to the housemaid, indicating the interconnectedness of the household staff during the festivities.""The Baker is related to the Housemaid and present during the celebrations, adding to the communal aspect of the event."', 'source_id': 'chunk-8bc1edd983869352d14cf0886a9175a7'} +2024-10-30 05:09:43,705 - lightrag - INFO - _do_upsert:query: + MERGE (n:`THE BOY FROM OVER THE WAY`) SET n += $properties RETURN n - :result:{'entity_type': '"FOOD"', 'description': '"Cold Boiled is another dish mentioned, part of the spread during the festivities at Fezziwig\'s celebration."', 'source_id': 'chunk-8bc1edd983869352d14cf0886a9175a7'} -2024-10-29 13:34:06,112 - lightrag - INFO - _do_upsert:query: - MERGE (n:`MINCE-PIES`) + :result:{'entity_type': '"PERSON"', 'description': '"The Boy from Over the Way is a humorous character trying to hide behind another participant, showcasing the inclusiveness of the celebrations."', 'source_id': 'chunk-8bc1edd983869352d14cf0886a9175a7'} +2024-10-30 05:09:43,972 - lightrag - INFO - _do_upsert:query: + MERGE (n:`THE GIRL FROM NEXT DOOR`) SET n += $properties RETURN n - :result:{'entity_type': '"FOOD"', 'description': '"Mince-Pies are a type of dessert featured at the celebration, contributing to the festive feast.""Mince-pies are a traditional Christmas dessert, symbolizing the sweet and festive aspects of the holiday season."', 'source_id': 'chunk-843b5b2f944c7413d9ca876e2e2f151fchunk-8bc1edd983869352d14cf0886a9175a7'} -2024-10-29 13:34:06,382 - lightrag - INFO - _do_upsert:query: - MERGE (n:`NEGUS`) + :result:{'entity_type': '"PERSON"', 'description': '"The Girl from Next Door is referenced as hiding from the Boy, illustrating the interactions during the event."', 'source_id': 'chunk-8bc1edd983869352d14cf0886a9175a7'} +2024-10-30 05:09:44,108 - lightrag - INFO - get_node:query:MATCH (n:`DICK`) RETURN n:result: +2024-10-30 05:09:44,247 - lightrag - INFO - _do_upsert:query: + MERGE (n:`DICK`) SET n += $properties RETURN n - :result:{'entity_type': '"FOOD"', 'description': '"Negus is a drink served during the festivities, adding to the array of refreshments available."', 'source_id': 'chunk-8bc1edd983869352d14cf0886a9175a7'} -2024-10-29 13:34:06,658 - lightrag - INFO - _do_upsert:query: + :result:{'entity_type': '"PERSON"', 'description': '"Dick is a character from Scrooge\'s past, reminisced about during the scene, representing the camaraderie shared during the ball.""Dick is associated with Scrooge\'s former self, evoking nostalgic memories as Scrooge witnesses the past."', 'source_id': 'chunk-b2f98bc7abb0c67d4c86055c7fd72218'} +2024-10-30 05:09:44,380 - lightrag - INFO - get_node:query:MATCH (n:`THE GHOST OF CHRISTMAS PAST`) RETURN n:result: +2024-10-30 05:09:44,518 - lightrag - INFO - _do_upsert:query: MERGE (n:`THE GHOST OF CHRISTMAS PAST`) SET n += $properties RETURN n - :result:{'entity_type': '"EVENT"', 'description': '"The Ghost of Christmas Past is a supernatural entity that shows Scrooge moments from his past, eliciting reflection and emotion."', 'source_id': 'chunk-b2f98bc7abb0c67d4c86055c7fd72218'} -2024-10-29 13:34:06,931 - lightrag - INFO - _do_upsert:query: + :result:{'entity_type': '"EVENT"', 'description': '"The Ghost of Christmas Past is a supernatural entity that allows Scrooge to revisit and reflect on his previous life experiences.""The Ghost of Christmas Past is a supernatural entity that shows Scrooge moments from his past, eliciting reflection and emotion.""The Ghost of Christmas Past represents Scrooge\'s history and helps him confront his former self and decisions made in life."', 'source_id': 'chunk-90b95db5c53e4364a6bee36b7aa4d70fchunk-b2f98bc7abb0c67d4c86055c7fd72218'} +2024-10-30 05:09:44,649 - lightrag - INFO - get_node:query:MATCH (n:`THE DOMESTIC BALL`) RETURN n:result: +2024-10-30 05:09:44,783 - lightrag - INFO - _do_upsert:query: MERGE (n:`THE DOMESTIC BALL`) SET n += $properties RETURN n - :result:{'entity_type': '"EVENT"', 'description': '"The Domestic Ball is a joyful celebration organized by Fezziwig, where guests enjoy dancing and merry exchanges."', 'source_id': 'chunk-b2f98bc7abb0c67d4c86055c7fd72218'} -2024-10-29 13:34:07,199 - lightrag - INFO - _do_upsert:query: - MERGE (n:`DICK`) - SET n += $properties - RETURN n - :result:{'entity_type': '"PERSON"', 'description': '"Dick is a character from Scrooge\'s past, reminisced about during the scene, representing the camaraderie shared during the ball."', 'source_id': 'chunk-b2f98bc7abb0c67d4c86055c7fd72218'} -2024-10-29 13:34:07,472 - lightrag - INFO - _do_upsert:query: + :result:{'entity_type': '"EVENT"', 'description': '"The Domestic Ball is a joyful celebration organized by Fezziwig, where guests enjoy dancing and merry exchanges.""The Domestic Ball represents a joyful gathering, fostering a sense of community and happiness among the participants."', 'source_id': 'chunk-b2f98bc7abb0c67d4c86055c7fd72218'} +2024-10-30 05:09:44,916 - lightrag - INFO - get_node:query:MATCH (n:`THE TWO APPRENTICES`) RETURN n:result: +2024-10-30 05:09:45,053 - lightrag - INFO - _do_upsert:query: MERGE (n:`THE TWO APPRENTICES`) SET n += $properties RETURN n - :result:{'entity_type': '"PERSON"', 'description': '"The Two Apprentices are characters from Fezziwig\'s establishment who express gratitude and admiration for Fezziwig\'s positive influence during the Domestic Ball."', 'source_id': 'chunk-b2f98bc7abb0c67d4c86055c7fd72218'} -2024-10-29 13:34:07,740 - lightrag - INFO - _do_upsert:query: - MERGE (n:`MERRY CHRISTMAS`) + :result:{'entity_type': '"PERSON"', 'description': '"The Two Apprentices are characters from Fezziwig\'s establishment who express gratitude and admiration for Fezziwig\'s positive influence during the Domestic Ball.""The Two Apprentices are characters present at the Domestic Ball, who express gratitude and admiration for Fezziwig after the event."', 'source_id': 'chunk-b2f98bc7abb0c67d4c86055c7fd72218'} +2024-10-30 05:09:45,325 - lightrag - INFO - _do_upsert:query: + MERGE (n:`THE GOLDEN IDOL`) SET n += $properties RETURN n - :result:{'entity_type': '"EVENT"', 'description': '"Merry Christmas is a common greeting shared during the Domestic Ball by Fezziwig and Mrs. Fezziwig, representing the spirit of the holiday."', 'source_id': 'chunk-b2f98bc7abb0c67d4c86055c7fd72218'} -2024-10-29 13:34:08,016 - lightrag - INFO - _do_upsert:query: - MERGE (n:`WEALTH`) + :result:{'entity_type': '"CONCEPT"', 'description': '"The Golden Idol symbolizes materialism and the pursuit of wealth, indicating a shift in Scrooge\'s values over time."', 'source_id': 'chunk-b2f98bc7abb0c67d4c86055c7fd72218'} +2024-10-30 05:09:45,604 - lightrag - INFO - _do_upsert:query: + MERGE (n:`THE PRIME OF LIFE`) SET n += $properties RETURN n - :result:{'entity_type': '"CONCEPT"', 'description': '"Wealth is referred to as a \'golden idol\' that has displaced genuine happiness in Scrooge\'s life, highlighting themes of materialism versus emotional fulfillment."', 'source_id': 'chunk-b2f98bc7abb0c67d4c86055c7fd72218'} -2024-10-29 13:34:08,309 - lightrag - INFO - _do_upsert:query: - MERGE (n:`POVERTY`) + :result:{'entity_type': '"EVENT"', 'description': '"The Prime of Life refers to a phase in Scrooge\'s youth when he was more carefree before becoming hardened by greed."', 'source_id': 'chunk-b2f98bc7abb0c67d4c86055c7fd72218'} +2024-10-30 05:09:45,870 - lightrag - INFO - _do_upsert:query: + MERGE (n:`THE MOURNING DRESS`) SET n += $properties RETURN n - :result:{'entity_type': '"CONCEPT"', 'description': '"Poverty is presented in contrast to wealth, representing struggles and rejections of superficial values in Scrooge\'s past."', 'source_id': 'chunk-b2f98bc7abb0c67d4c86055c7fd72218'} -2024-10-29 13:34:08,577 - lightrag - INFO - _do_upsert:query: - MERGE (n:`THE YOUNG GIRL`) + :result:{'entity_type': '"CONCEPT"', 'description': '"The Mourning Dress symbolizes loss and separation, highlighting the emotional distance between Scrooge and his former love."', 'source_id': 'chunk-b2f98bc7abb0c67d4c86055c7fd72218'} +2024-10-30 05:09:46,144 - lightrag - INFO - _do_upsert:query: + MERGE (n:`THE BEAUTIFUL YOUNG GIRL`) SET n += $properties RETURN n - :result:{'entity_type': '"PERSON"', 'description': '"The Young Girl is a significant figure from Scrooge\'s past, representing lost opportunities and innocence."', 'source_id': 'chunk-54bdd22db1f84a965b5f4c06c9216d8d'} -2024-10-29 13:34:08,848 - lightrag - INFO - _do_upsert:query: - MERGE (n:`THE MOTHER`) + :result:{'entity_type': '"PERSON"', 'description': '"The Beautiful Young Girl is a figure from Scrooge\'s past, representing lost opportunities and innocence."', 'source_id': 'chunk-54bdd22db1f84a965b5f4c06c9216d8d'} +2024-10-30 05:09:46,416 - lightrag - INFO - _do_upsert:query: + MERGE (n:`THE COMELY MATRON`) SET n += $properties RETURN n - :result:{'entity_type': '"PERSON"', 'description': '"The Mother exemplifies apprehension and hope regarding her husband\'s return, depicting the emotional burden of waiting and uncertainty.""The Mother is a character associated with the family dynamics during the Christmas scene, though her actions are not explicitly detailed.""The Mother is depicted as a comely matron, who enjoys the laughter and chaos with her children, showing warmth and family value."', 'source_id': 'chunk-da2472b4ef2a535b62908f14d0fb0ca9chunk-83ac129dc9b56f84c46760d153d68e93chunk-54bdd22db1f84a965b5f4c06c9216d8d'} -2024-10-29 13:34:09,123 - lightrag - INFO - _do_upsert:query: - MERGE (n:`THE DAUGHTER`) + :result:{'entity_type': '"PERSON"', 'description': '"The Comely Matron is the grown-up version of the Beautiful Young Girl, emphasizing change and the passage of time."', 'source_id': 'chunk-54bdd22db1f84a965b5f4c06c9216d8d'} +2024-10-30 05:09:46,547 - lightrag - INFO - get_node:query:MATCH (n:`CHRISTMAS TOYS AND PRESENTS`) RETURN n:result: +2024-10-30 05:09:46,687 - lightrag - INFO - _do_upsert:query: + MERGE (n:`CHRISTMAS TOYS AND PRESENTS`) SET n += $properties RETURN n - :result:{'entity_type': '"PERSON"', 'description': '"The Daughter is involved in the scene of merriment and childhood play, representing the continuation of family joy."', 'source_id': 'chunk-54bdd22db1f84a965b5f4c06c9216d8d'} -2024-10-29 13:34:09,395 - lightrag - INFO - _do_upsert:query: - MERGE (n:`THE MAN`) + :result:{'entity_type': '"EVENT"', 'description': '"Christmas Toys and Presents are associated with familial love and joy, as they arrive with the father, enhancing the holiday spirit.""Christmas Toys and Presents are associated with joy and celebration, marking the festive occasion and the love shared among family.""Christmas Toys and Presents signify the spirit of giving and the excitement that surrounds the holiday season, especially for children."', 'source_id': 'chunk-54bdd22db1f84a965b5f4c06c9216d8dchunk-da2472b4ef2a535b62908f14d0fb0ca9'} +2024-10-30 05:09:46,956 - lightrag - INFO - _do_upsert:query: + MERGE (n:`THE ROOM`) SET n += $properties RETURN n - :result:{'entity_type': '"PERSON"', 'description': '"The Man is a character who brings Christmas toys and presents, representing the spirit of giving associated with the holiday season."', 'source_id': 'chunk-54bdd22db1f84a965b5f4c06c9216d8d'} -2024-10-29 13:34:09,659 - lightrag - INFO - _do_upsert:query: - MERGE (n:`CHRISTMAS TOYS AND PRESENTS`) + :result:{'entity_type': '"GEO"', 'description': '"The Room is described as a cozy, comfortable setting where the comely matron and her children interact during festive times."', 'source_id': 'chunk-54bdd22db1f84a965b5f4c06c9216d8d'} +2024-10-30 05:09:47,221 - lightrag - INFO - _do_upsert:query: + MERGE (n:`THE WINTER FIRE`) SET n += $properties RETURN n - :result:{'entity_type': '"EVENT"', 'description': '"Christmas Toys and Presents are associated with joy and celebration, marking the festive occasion and the love shared among family."', 'source_id': 'chunk-54bdd22db1f84a965b5f4c06c9216d8d'} -2024-10-29 13:34:09,937 - lightrag - INFO - _do_upsert:query: - MERGE (n:`THE BOISTEROUS GROUP`) + :result:{'entity_type': '"EVENT"', 'description': '"The Winter Fire represents warmth and comfort in the room where the matron and children gather, enhancing the festive atmosphere."', 'source_id': 'chunk-54bdd22db1f84a965b5f4c06c9216d8d'} +2024-10-30 05:09:47,354 - lightrag - INFO - get_node:query:MATCH (n:`THE FATHER`) RETURN n:result: +2024-10-30 05:09:47,492 - lightrag - INFO - _do_upsert:query: + MERGE (n:`THE FATHER`) SET n += $properties RETURN n - :result:{'entity_type': '"ORGANIZATION"', 'description': '"The Boisterous Group consists of children engaged in playful and lively activities, embodying the joy and chaos of familial festivities."', 'source_id': 'chunk-54bdd22db1f84a965b5f4c06c9216d8d'} -2024-10-29 13:34:10,217 - lightrag - INFO - _do_upsert:query: - MERGE (n:`THE DEFENCELESS PORTER`) + :result:{'entity_type': '"PERSON"', 'description': '"The Father is a character who arrives home with Christmas presents, symbolizing familial joy and festive spirit.""The Father is a character who returns home and is greeted with excitement, embodying family warmth and joy during Christmas celebrations.""The Father is a character who returns home with presents, symbolizing the joy of family and the spirit of giving during Christmas."', 'source_id': 'chunk-54bdd22db1f84a965b5f4c06c9216d8dchunk-da2472b4ef2a535b62908f14d0fb0ca9'} +2024-10-30 05:09:47,765 - lightrag - INFO - _do_upsert:query: + MERGE (n:`THE YOUNG BRIGANDS`) SET n += $properties RETURN n - :result:{'entity_type': '"PERSON"', 'description': '"The Defenceless Porter is a character who is humorously overrun by children excited for the Christmas celebrations and gifts."', 'source_id': 'chunk-54bdd22db1f84a965b5f4c06c9216d8d'} -2024-10-29 13:34:10,489 - lightrag - INFO - _do_upsert:query: - MERGE (n:`BELLE`) + :result:{'entity_type': '"PERSON"', 'description': '"The Young Brigands are a playful group of children engaged in merriment and mischief during the festive celebration."', 'source_id': 'chunk-54bdd22db1f84a965b5f4c06c9216d8d'} +2024-10-30 05:09:48,028 - lightrag - INFO - _do_upsert:query: + MERGE (n:`THE DOWERLESS GIRL`) SET n += $properties RETURN n - :result:{'entity_type': '"PERSON"', 'description': '"Belle is Scrooge\'s former love whose presence evokes strong feelings of longing and sorrow in Scrooge."', 'source_id': 'chunk-da2472b4ef2a535b62908f14d0fb0ca9'} -2024-10-29 13:34:10,759 - lightrag - INFO - _do_upsert:query: - MERGE (n:`THE BEDROOM`) + :result:{'entity_type': '"PERSON"', 'description': '"The Dowerless Girl is a symbolic representation of the limitations in relationships based on social and economic status as reflected in Scrooge\'s dialogue."', 'source_id': 'chunk-54bdd22db1f84a965b5f4c06c9216d8d'} +2024-10-30 05:09:48,291 - lightrag - INFO - _do_upsert:query: + MERGE (n:`THE MEMORY`) SET n += $properties RETURN n - :result:{'entity_type': '"GEO"', 'description': '"The Bedroom is the personal space of Scrooge where he undergoes significant emotional transitions and encounters the spirits."', 'source_id': 'chunk-da2472b4ef2a535b62908f14d0fb0ca9'} -2024-10-29 13:34:11,026 - lightrag - INFO - _do_upsert:query: - MERGE (n:`THE FATHER`) + :result:{'entity_type': '"CONCEPT"', 'description': '"The Memory refers to the recollections of past relationships and feelings that haunt Scrooge as he contemplates his choices."', 'source_id': 'chunk-54bdd22db1f84a965b5f4c06c9216d8d'} +2024-10-30 05:09:48,560 - lightrag - INFO - _do_upsert:query: + MERGE (n:`HAPPINESS`) SET n += $properties RETURN n - :result:{'entity_type': '"PERSON"', 'description': '"The Father is a character who arrives home with Christmas presents, symbolizing familial joy and festive spirit."', 'source_id': 'chunk-da2472b4ef2a535b62908f14d0fb0ca9'} -2024-10-29 13:34:11,299 - lightrag - INFO - _do_upsert:query: - MERGE (n:`THE CHILDREN`) + :result:{'entity_type': '"CONCEPT"', 'description': '"Happiness signifies the conflicting emotions Scrooge feels regarding past love and the reality of his current life choices."', 'source_id': 'chunk-54bdd22db1f84a965b5f4c06c9216d8d'} +2024-10-30 05:09:48,832 - lightrag - INFO - _do_upsert:query: + MERGE (n:`HOPE`) SET n += $properties RETURN n - :result:{'entity_type': '"PERSON"', 'description': '"The Children refer to the group of young individuals filled with wonder and delight during the Christmas festivities."', 'source_id': 'chunk-da2472b4ef2a535b62908f14d0fb0ca9'} -2024-10-29 13:34:11,570 - lightrag - INFO - _do_upsert:query: - MERGE (n:`THE PORTER`) + :result:{'entity_type': '"CONCEPT"', 'description': '"Hope emerges as a central theme in the characters\' lives, particularly through Caroline\'s reaction to news about the husband and the family\'s future.""Hope represents the aspirations and dreams that characters have, particularly in the context of the matron\'s optimistic nature."', 'source_id': 'chunk-83ac129dc9b56f84c46760d153d68e93chunk-54bdd22db1f84a965b5f4c06c9216d8d'} +2024-10-30 05:09:48,967 - lightrag - INFO - get_node:query:MATCH (n:`BELLE`) RETURN n:result: +2024-10-30 05:09:49,103 - lightrag - INFO - _do_upsert:query: + MERGE (n:`BELLE`) SET n += $properties RETURN n - :result:{'entity_type': '"PERSON"', 'description': '"The Porter is a character who becomes the target of playful affection from the children, showcasing innocence and chaos during celebrations."', 'source_id': 'chunk-da2472b4ef2a535b62908f14d0fb0ca9'} -2024-10-29 13:34:11,834 - lightrag - INFO - _do_upsert:query: - MERGE (n:`THE DOLL'S FRYING PAN`) + :result:{'entity_type': '"PERSON"', 'description': '"Belle is Scrooge\'s former love whose presence evokes strong feelings of longing and sorrow in Scrooge.""Belle is Scrooge\'s former love, evidence of care and affection, now mentioned in the context of Scrooge’s memories."', 'source_id': 'chunk-da2472b4ef2a535b62908f14d0fb0ca9'} +2024-10-30 05:09:49,378 - lightrag - INFO - _do_upsert:query: + MERGE (n:`THE OFFICE`) SET n += $properties RETURN n - :result:{'entity_type': '"EVENT"', 'description': '"The Doll\'s Frying Pan is part of a humorous incident involving the baby, which reflects the playful and chaotic ambiance of childhood."', 'source_id': 'chunk-da2472b4ef2a535b62908f14d0fb0ca9'} -2024-10-29 13:34:12,114 - lightrag - INFO - _do_upsert:query: - MERGE (n:`TURKEY`) + :result:{'entity_type': '"ORGANIZATION"', 'description': '"The Office is Scrooge\'s workplace, signifying his past life and the memories associated with his business dealings.""The Office refers to Scrooge\'s workplace, emphasizing his isolation and the business-focused nature of his life.""The Office refers to the workplace where Scrooge and Bob Cratchit interact, highlighting the power dynamics and work-related tension."', 'source_id': 'chunk-91572b3cd42786ba4cb2f180ca25cbf4chunk-94bea83e7153fc2064aa382b494936a1chunk-da2472b4ef2a535b62908f14d0fb0ca9'} +2024-10-30 05:09:49,513 - lightrag - INFO - get_node:query:MATCH (n:`THE PORTER`) RETURN n:result: +2024-10-30 05:09:49,651 - lightrag - INFO - _do_upsert:query: + MERGE (n:`THE PORTER`) SET n += $properties RETURN n - :result:{'entity_type': '"ORGANIZATION"', 'description': '"Turkey here represents a food item that symbolizes abundance and festive celebration, present in the spirit\'s demonstration of cheer."', 'source_id': 'chunk-843b5b2f944c7413d9ca876e2e2f151f'} -2024-10-29 13:34:12,379 - lightrag - INFO - _do_upsert:query: - MERGE (n:`HOLLY`) + :result:{'entity_type': '"PERSON"', 'description': '"The Porter is a character who becomes the target of playful affection from the children, showcasing innocence and chaos during celebrations.""The Porter is depicted as a defenseless character being playfully assaulted by the children during their festive excitement."', 'source_id': 'chunk-da2472b4ef2a535b62908f14d0fb0ca9'} +2024-10-30 05:09:49,922 - lightrag - INFO - _do_upsert:query: + MERGE (n:`THE BABY`) SET n += $properties RETURN n - :result:{'entity_type': '"ORGANIZATION"', 'description': '"Holly is a plant associated with Christmas, featured prominently in the Spirit\'s attire, symbolizing joy and celebration during the festive season.""Holly is a plant associated with Christmas, mentioned among other decorations that contribute to the festive atmosphere."', 'source_id': 'chunk-843b5b2f944c7413d9ca876e2e2f151fchunk-99b0ec7f7e006561352b5d65e849611d'} -2024-10-29 13:34:12,650 - lightrag - INFO - _do_upsert:query: - MERGE (n:`IVY`) + :result:{'entity_type': '"PERSON"', 'description': '"The Baby is involved in a comical mishap concerning a doll\'s frying pan, symbolizing the innocence and curiosity of childhood."', 'source_id': 'chunk-da2472b4ef2a535b62908f14d0fb0ca9'} +2024-10-30 05:09:50,057 - lightrag - INFO - get_node:query:MATCH (n:`THE MOTHER`) RETURN n:result:"The Mother is a character associated with the family dynamics during the Christmas scene, though her actions are not explicitly detailed.""The Mother is depicted as a comely matron, who enjoys the laughter and chaos with her children, showing warmth and family value."', 'source_id': 'chunk-da2472b4ef2a535b62908f14d0fb0ca9chunk-83ac129dc9b56f84c46760d153d68e93chunk-54bdd22db1f84a965b5f4c06c9216d8d'}> +2024-10-30 05:09:50,197 - lightrag - INFO - _do_upsert:query: + MERGE (n:`THE MOTHER`) SET n += $properties RETURN n - :result:{'entity_type': '"ORGANIZATION"', 'description': '"Ivy is another plant associated with the festive decor, symbolizing eternity and fidelity, adding to the spirit of the occasion."', 'source_id': 'chunk-843b5b2f944c7413d9ca876e2e2f151f'} -2024-10-29 13:34:12,922 - lightrag - INFO - _do_upsert:query: + :result:{'entity_type': '"PERSON"', 'description': '"The Mother exemplifies apprehension and hope regarding her husband\'s return, depicting the emotional burden of waiting and uncertainty.""The Mother is a character associated with the family dynamics during the Christmas scene, though her actions are not explicitly detailed.""The Mother is depicted as a comely matron, who enjoys the laughter and chaos with her children, showing warmth and family value.""The Mother is a character who exhibits anxiety and hope as she awaits her husband\'s return, embodying the emotional depth of family relations during hardship.""The Mother is a character who shares a tender moment with her husband and daughter, representing familial love and connection."', 'source_id': 'chunk-83ac129dc9b56f84c46760d153d68e93chunk-54bdd22db1f84a965b5f4c06c9216d8dchunk-da2472b4ef2a535b62908f14d0fb0ca9'} +2024-10-30 05:09:50,327 - lightrag - INFO - get_node:query:MATCH (n:`CITY`) RETURN n:result:"The City represents the urban setting where Scrooge witnesses the indifference of its inhabitants regarding his death.""The City represents the urban setting where Scrooge\'s transformation takes place, symbolizing the broader society impacted by his changes."', 'source_id': 'chunk-843b5b2f944c7413d9ca876e2e2f151fchunk-94bea83e7153fc2064aa382b494936a1chunk-02baee20cc9463dbe08170a8e1043e32'}> +2024-10-30 05:09:50,471 - lightrag - INFO - _do_upsert:query: MERGE (n:`CITY`) SET n += $properties RETURN n - :result:{'entity_type': '"GEO"', 'description': '"The City refers to a generic location embodying the community and societal norms, with which Scrooge has a complex relationship.""The City represents the urban setting where Scrooge witnesses the indifference of its inhabitants regarding his death.""The City represents the urban setting where Scrooge\'s transformation takes place, symbolizing the broader society impacted by his changes."', 'source_id': 'chunk-843b5b2f944c7413d9ca876e2e2f151fchunk-94bea83e7153fc2064aa382b494936a1chunk-02baee20cc9463dbe08170a8e1043e32'} -2024-10-29 13:34:13,196 - lightrag - INFO - _do_upsert:query: - MERGE (n:`TURKEYS`) - SET n += $properties - RETURN n - :result:{'entity_type': '"ORGANIZATION"', 'description': '"Turkeys are described as part of a lavish spread that symbolizes the abundance and joy of the Christmas season.""Turkeys represent a common food item associated with the Christmas feast, highlighting the culinary aspects of the celebration."', 'source_id': 'chunk-843b5b2f944c7413d9ca876e2e2f151fchunk-99b0ec7f7e006561352b5d65e849611d'} -2024-10-29 13:34:13,468 - lightrag - INFO - _do_upsert:query: - MERGE (n:`GEESE`) + :result:{'entity_type': '"GEO"', 'description': '"The City refers to a generic location embodying the community and societal norms, with which Scrooge has a complex relationship.""The City represents the urban setting where Scrooge witnesses the indifference of its inhabitants regarding his death.""The City represents the urban setting where Scrooge\'s transformation takes place, symbolizing the broader society impacted by his changes.""The City serves as a backdrop where various scenes unfold, representing the hustle of life and economic concerns.""The City symbolizes the urban setting where Scrooge\'s transformation takes place, primarily depicting the contrast between Scrooge\'s isolation and the outer world filled with festivities."', 'source_id': 'chunk-02baee20cc9463dbe08170a8e1043e32chunk-94bea83e7153fc2064aa382b494936a1chunk-843b5b2f944c7413d9ca876e2e2f151f'} +2024-10-30 05:09:50,602 - lightrag - INFO - get_node:query:MATCH (n:`SPIRIT`) RETURN n:result:"The Spirit embodies the lessons of compassion and social responsibility, guiding Scrooge through his reflections and realizations.""The Spirit is the manifestation of Scrooge\'s past that guides him through his memories, representing his former self and the influence of time.""The Spirit represents a ghostly entity, guiding Scrooge through visions of potential future events and urging him to acknowledge societal issues.""The Spirit represents a supernatural entity guiding Scrooge through his reflections on life, death, and human emotions, prompting self-awareness.""The Spirit represents the embodiment of the Christmas present, personifying the themes of generosity and merriment."', 'source_id': 'chunk-bb21d58d36c6306fd8810ddd51c4a971chunk-83ac129dc9b56f84c46760d153d68e93chunk-e7637ff18c5ded77a68cce0a87883fadchunk-843b5b2f944c7413d9ca876e2e2f151fchunk-1aa50206d02ed89418f65f97c6441d1cchunk-02baee20cc9463dbe08170a8e1043e32'}> +2024-10-30 05:09:50,743 - lightrag - INFO - _do_upsert:query: + MERGE (n:`SPIRIT`) SET n += $properties RETURN n - :result:{'entity_type': '"ORGANIZATION"', 'description': '"Geese are another traditional food item during Christmas, contributing to the festive dining experiences.""Geese are included in the festive feast, representing the bounty and celebration associated with Christmas."', 'source_id': 'chunk-843b5b2f944c7413d9ca876e2e2f151fchunk-99b0ec7f7e006561352b5d65e849611d'} -2024-10-29 13:34:13,732 - lightrag - INFO - _do_upsert:query: - MERGE (n:`GAME`) + :result:{'entity_type': '"EVENT"', 'description': '"Spirit represents the essence of Marley that is attempting to interact with Scrooge, indicating themes of afterlife and unresolved issues.""The Spirit embodies the lessons of compassion and social responsibility, guiding Scrooge through his reflections and realizations.""The Spirit is the manifestation of Scrooge\'s past that guides him through his memories, representing his former self and the influence of time.""The Spirit represents a ghostly entity, guiding Scrooge through visions of potential future events and urging him to acknowledge societal issues.""The Spirit represents a supernatural entity guiding Scrooge through his reflections on life, death, and human emotions, prompting self-awareness.""The Spirit represents the embodiment of the Christmas present, personifying the themes of generosity and merriment.""The Spirit refers to the Ghost of Christmas Present, which embodies the essence of the Christmas season and serves as a guide for Scrooge.""The Spirit represents a ghostly figure guiding Scrooge through reflections related to a death, illustrating lessons about life and mortality.""The Spirit represents a supernatural being guiding Scrooge through lessons about the consequences of his actions and the future.""The Spirit represents a supernatural entity guiding Scrooge and teaching him lessons about compassion and humanity."', 'source_id': 'chunk-e7637ff18c5ded77a68cce0a87883fadchunk-83ac129dc9b56f84c46760d153d68e93chunk-02baee20cc9463dbe08170a8e1043e32chunk-bb21d58d36c6306fd8810ddd51c4a971chunk-1aa50206d02ed89418f65f97c6441d1cchunk-843b5b2f944c7413d9ca876e2e2f151f'} +2024-10-30 05:09:50,878 - lightrag - INFO - get_node:query:MATCH (n:`MISTLETOE`) RETURN n:result: +2024-10-30 05:09:51,015 - lightrag - INFO - _do_upsert:query: + MERGE (n:`MISTLETOE`) SET n += $properties RETURN n - :result:{'entity_type': '"ORGANIZATION"', 'description': '"Game refers to meat served during the Christmas season, signifying abundance and celebration."', 'source_id': 'chunk-843b5b2f944c7413d9ca876e2e2f151f'} -2024-10-29 13:34:13,998 - lightrag - INFO - _do_upsert:query: - MERGE (n:`BRAWN`) + :result:{'entity_type': '"ORGANIZATION"', 'description': '"Mistletoe is a plant used as a Christmas decoration, symbolizing love and goodwill during the holiday season.""Mistletoe is a traditional plant used for decoration during Christmas, symbolizing joy and a festive spirit.""Mistletoe is described in the context of Christmas decorations, often used for kissing and holiday celebrations."', 'source_id': 'chunk-99b0ec7f7e006561352b5d65e849611dchunk-843b5b2f944c7413d9ca876e2e2f151f'} +2024-10-30 05:09:51,287 - lightrag - INFO - _do_upsert:query: + MERGE (n:`RED BERRIES`) SET n += $properties RETURN n - :result:{'entity_type': '"ORGANIZATION"', 'description': '"Brawn is a type of meat included in the festive gathering, representing the richness of the Christmas feast."', 'source_id': 'chunk-843b5b2f944c7413d9ca876e2e2f151f'} -2024-10-29 13:34:14,275 - lightrag - INFO - _do_upsert:query: - MERGE (n:`SUCKING-PIGS`) + :result:{'entity_type': '"ORGANIZATION"', 'description': '"Red Berries are decorative elements commonly used during Christmas decorations, adding color and festivity.""Red Berries are festive decorations representing the colors of Christmas, enhancing the holiday atmosphere."', 'source_id': 'chunk-99b0ec7f7e006561352b5d65e849611dchunk-843b5b2f944c7413d9ca876e2e2f151f'} +2024-10-30 05:09:51,418 - lightrag - INFO - get_node:query:MATCH (n:`TURKEYS`) RETURN n:result:"Turkeys represent a common food item associated with the Christmas feast, highlighting the culinary aspects of the celebration."', 'source_id': 'chunk-843b5b2f944c7413d9ca876e2e2f151fchunk-99b0ec7f7e006561352b5d65e849611d'}> +2024-10-30 05:09:51,560 - lightrag - INFO - _do_upsert:query: + MERGE (n:`TURKEYS`) SET n += $properties RETURN n - :result:{'entity_type': '"ORGANIZATION"', 'description': '"Sucking-pigs represent a traditional dish during Christmas, showcasing the festive abundance."', 'source_id': 'chunk-843b5b2f944c7413d9ca876e2e2f151f'} -2024-10-29 13:34:14,550 - lightrag - INFO - _do_upsert:query: - MERGE (n:`SAUSAGES`) + :result:{'entity_type': '"ORGANIZATION"', 'description': '"Turkeys are described as part of a lavish spread that symbolizes the abundance and joy of the Christmas season.""Turkeys represent a common food item associated with the Christmas feast, highlighting the culinary aspects of the celebration.""Turkeys are food items prominently featured in Christmas meals, representing a festive celebration of the holiday.""Turkeys are part of the Christmas feast, symbolizing the abundance and sharing associated with the holiday."', 'source_id': 'chunk-99b0ec7f7e006561352b5d65e849611dchunk-843b5b2f944c7413d9ca876e2e2f151f'} +2024-10-30 05:09:51,696 - lightrag - INFO - get_node:query:MATCH (n:`POULTRY`) RETURN n:result: +2024-10-30 05:09:51,837 - lightrag - INFO - _do_upsert:query: + MERGE (n:`POULTRY`) SET n += $properties RETURN n - :result:{'entity_type': '"ORGANIZATION"', 'description': '"Sausages contribute to the rich variety of foods present at the celebration, reflecting festive abundance."', 'source_id': 'chunk-843b5b2f944c7413d9ca876e2e2f151f'} -2024-10-29 13:34:14,824 - lightrag - INFO - _do_upsert:query: - MERGE (n:`PLUM-PUDDINGS`) + :result:{'entity_type': '"ORGANIZATION"', 'description': '"Poultry is another aspect of the Christmas feast, representing the various traditions of holiday meals.""Poultry refers to various birds used for Christmas meals, representing the culinary traditions of the holiday.""Poultry represents a variety of birds that are often prepared for Christmas dinners, enhancing the festive festivities."', 'source_id': 'chunk-99b0ec7f7e006561352b5d65e849611dchunk-843b5b2f944c7413d9ca876e2e2f151f'} +2024-10-30 05:09:52,108 - lightrag - INFO - _do_upsert:query: + MERGE (n:`MEAT`) SET n += $properties RETURN n - :result:{'entity_type': '"ORGANIZATION"', 'description': '"Plum-puddings are another festive dessert, symbolizing celebration and joy during Christmas."', 'source_id': 'chunk-843b5b2f944c7413d9ca876e2e2f151f'} -2024-10-29 13:34:15,099 - lightrag - INFO - _do_upsert:query: - MERGE (n:`BARRELS OF OYSTERS`) + :result:{'entity_type': '"ORGANIZATION"', 'description': '"Meat refers to a significant part of the Christmas feast, further emphasizing the theme of abundance during the holiday.""Meat serves as a general representation of the food consumed during Christmas celebrations, contributing to the holiday meals."', 'source_id': 'chunk-99b0ec7f7e006561352b5d65e849611dchunk-843b5b2f944c7413d9ca876e2e2f151f'} +2024-10-30 05:09:52,238 - lightrag - INFO - get_node:query:MATCH (n:`SAUSAGES`) RETURN n:result: +2024-10-30 05:09:52,378 - lightrag - INFO - _do_upsert:query: + MERGE (n:`SAUSAGES`) SET n += $properties RETURN n - :result:{'entity_type': '"ORGANIZATION"', 'description': '"Barrels of oysters symbolize luxury and indulgence in the holiday feast."', 'source_id': 'chunk-843b5b2f944c7413d9ca876e2e2f151f'} -2024-10-29 13:34:15,376 - lightrag - INFO - _do_upsert:query: - MERGE (n:`RED-HOT CHESTNUTS`) + :result:{'entity_type': '"ORGANIZATION"', 'description': '"Sausages are festive foods that complement the traditional Christmas meal, adding to the variety of the feast.""Sausages are food items mentioned that may be served during Christmas festivities, adding to the variety of traditional foods.""Sausages contribute to the rich variety of foods present at the celebration, reflecting festive abundance."', 'source_id': 'chunk-99b0ec7f7e006561352b5d65e849611dchunk-843b5b2f944c7413d9ca876e2e2f151f'} +2024-10-30 05:09:52,651 - lightrag - INFO - _do_upsert:query: + MERGE (n:`OYSTERS`) SET n += $properties RETURN n - :result:{'entity_type': '"ORGANIZATION"', 'description': '"Red-hot chestnuts are a warm snack commonly enjoyed during the Christmas season, adding to the festive atmosphere."', 'source_id': 'chunk-843b5b2f944c7413d9ca876e2e2f151f'} -2024-10-29 13:34:15,641 - lightrag - INFO - _do_upsert:query: - MERGE (n:`CHERRY-CHEEKED APPLES`) + :result:{'entity_type': '"ORGANIZATION"', 'description': '"Oysters are considered delicacies that can enhance special occasions such as Christmas, indicating celebratory dining.""Oysters represent a delicacy often served during Christmas, symbolizing luxury and celebration."', 'source_id': 'chunk-99b0ec7f7e006561352b5d65e849611dchunk-843b5b2f944c7413d9ca876e2e2f151f'} +2024-10-30 05:09:52,924 - lightrag - INFO - _do_upsert:query: + MERGE (n:`PIES`) SET n += $properties RETURN n - :result:{'entity_type': '"ORGANIZATION"', 'description': '"Cherry-cheeked apples add to the feast\'s festive decoration and represent the sweetness of the season."', 'source_id': 'chunk-843b5b2f944c7413d9ca876e2e2f151f'} -2024-10-29 13:34:15,913 - lightrag - INFO - _do_upsert:query: - MERGE (n:`JUICY ORANGES`) + :result:{'entity_type': '"ORGANIZATION"', 'description': '"Pies are a traditional dessert during the Christmas season, embodying the spirit of sharing and celebration.""Pies, often sweet, are traditional desserts served during Christmas, symbolizing festive dessert offerings."', 'source_id': 'chunk-99b0ec7f7e006561352b5d65e849611dchunk-843b5b2f944c7413d9ca876e2e2f151f'} +2024-10-30 05:09:53,194 - lightrag - INFO - _do_upsert:query: + MERGE (n:`PUDDINGS`) SET n += $properties RETURN n - :result:{'entity_type': '"ORGANIZATION"', 'description': '"Juicy oranges symbolize freshness and abundance, often associated with Christmas festivities."', 'source_id': 'chunk-843b5b2f944c7413d9ca876e2e2f151f'} -2024-10-29 13:34:16,181 - lightrag - INFO - _do_upsert:query: - MERGE (n:`LUSCIOUS PEARS`) + :result:{'entity_type': '"ORGANIZATION"', 'description': '"Puddings are a classic Christmas dessert, symbolizing warmth and indulgence during the holiday.""Puddings are showcased as a traditional dessert during Christmas celebrations, central to holiday meals."', 'source_id': 'chunk-99b0ec7f7e006561352b5d65e849611dchunk-843b5b2f944c7413d9ca876e2e2f151f'} +2024-10-30 05:09:53,463 - lightrag - INFO - _do_upsert:query: + MERGE (n:`FRUIT`) SET n += $properties RETURN n - :result:{'entity_type': '"ORGANIZATION"', 'description': '"Luscious pears contribute to the variety of festive foods, symbolizing richness during the holiday season."', 'source_id': 'chunk-843b5b2f944c7413d9ca876e2e2f151f'} -2024-10-29 13:34:16,453 - lightrag - INFO - _do_upsert:query: - MERGE (n:`IMMENSE TWELFTH-CAKES`) + :result:{'entity_type': '"ORGANIZATION"', 'description': '"Fruit represents a staple part of the Christmas spread, emphasizing freshness and the joy of sharing.""Fruit represents the fresh produce that accompanies holiday meals, bringing color and variety to the Christmas table."', 'source_id': 'chunk-99b0ec7f7e006561352b5d65e849611dchunk-843b5b2f944c7413d9ca876e2e2f151f'} +2024-10-30 05:09:53,736 - lightrag - INFO - _do_upsert:query: + MERGE (n:`PUNCH`) SET n += $properties RETURN n - :result:{'entity_type': '"ORGANIZATION"', 'description': '"Immense twelfth-cakes represent a traditional centerpiece of the Christmas feast, symbolizing celebration."', 'source_id': 'chunk-843b5b2f944c7413d9ca876e2e2f151f'} -2024-10-29 13:34:16,723 - lightrag - INFO - _do_upsert:query: - MERGE (n:`SEETHING BOWLS OF PUNCH`) + :result:{'entity_type': '"ORGANIZATION"', 'description': '"Punch is a festive beverage that is often served during Christmas celebrations, adding to the holiday spirit.""Punch refers to a festive drink that is often served at Christmas gatherings, contributing to the celebration."', 'source_id': 'chunk-99b0ec7f7e006561352b5d65e849611dchunk-843b5b2f944c7413d9ca876e2e2f151f'} +2024-10-30 05:09:54,006 - lightrag - INFO - _do_upsert:query: + MERGE (n:`ANTIQUE SCABBARD`) SET n += $properties RETURN n - :result:{'entity_type': '"ORGANIZATION"', 'description': '"Seething bowls of punch are indicative of the festive beverages enjoyed during Christmas, adding to the celebratory atmosphere."', 'source_id': 'chunk-843b5b2f944c7413d9ca876e2e2f151f'} -2024-10-29 13:34:16,997 - lightrag - INFO - _do_upsert:query: + :result:{'entity_type': '"ORGANIZATION"', 'description': '"The Antique Scabbard is a symbolic object seen on the Ghost, representing the notion of protection and history."', 'source_id': 'chunk-843b5b2f944c7413d9ca876e2e2f151f'} +2024-10-30 05:09:54,140 - lightrag - INFO - get_node:query:MATCH (n:`GREAT BRITAIN`) RETURN n:result: +2024-10-30 05:09:54,280 - lightrag - INFO - _do_upsert:query: MERGE (n:`GREAT BRITAIN`) SET n += $properties RETURN n - :result:{'entity_type': '"GEO"', 'description': '"Great Britain is referenced as a location suffering from severe weather, which contrasts with the cheerful activities of its people during Christmas."', 'source_id': 'chunk-99b0ec7f7e006561352b5d65e849611d'} -2024-10-29 13:34:17,265 - lightrag - INFO - _do_upsert:query: - MERGE (n:`THE GROCERS`) + :result:{'entity_type': '"GEO"', 'description': '"Great Britain is a location mentioned as having chimneys that appear to be catching fire and is the setting for a gloomy climate during Christmas time.""Great Britain is referenced as a location suffering from severe weather, which contrasts with the cheerful activities of its people during Christmas."', 'source_id': 'chunk-99b0ec7f7e006561352b5d65e849611d'} +2024-10-30 05:09:54,558 - lightrag - INFO - _do_upsert:query: + MERGE (n:`GROCERS'`) SET n += $properties RETURN n - :result:{'entity_type': '"ORGANIZATION"', 'description': '"The Grocers are a social hub where customers eagerly purchase goods, contributing to the festive atmosphere of the day."', 'source_id': 'chunk-99b0ec7f7e006561352b5d65e849611d'} -2024-10-29 13:34:17,535 - lightrag - INFO - _do_upsert:query: - MERGE (n:`MISTLETOE`) + :result:{'entity_type': '"ORGANIZATION"', 'description': '"Grocers\' is an organization described as nearly closed yet bustling with eager customers, showcasing a variety of goods typical for Christmas time."', 'source_id': 'chunk-99b0ec7f7e006561352b5d65e849611d'} +2024-10-30 05:09:54,835 - lightrag - INFO - _do_upsert:query: + MERGE (n:`PEOPLE`) SET n += $properties RETURN n - :result:{'entity_type': '"GEO"', 'description': '"Mistletoe is a traditional plant used for decoration during Christmas, symbolizing joy and a festive spirit."', 'source_id': 'chunk-99b0ec7f7e006561352b5d65e849611d'} -2024-10-29 13:34:17,798 - lightrag - INFO - _do_upsert:query: - MERGE (n:`POULTRY`) + :result:{'entity_type': '"ORGANIZATION"', 'description': '"The People represent the community celebrating Christmas, exhibiting joy, humor, and eagerness amidst the dreary weather."', 'source_id': 'chunk-99b0ec7f7e006561352b5d65e849611d'} +2024-10-30 05:09:54,965 - lightrag - INFO - get_node:query:MATCH (n:`GEESE`) RETURN n:result:"Geese are included in the festive feast, representing the bounty and celebration associated with Christmas."', 'source_id': 'chunk-843b5b2f944c7413d9ca876e2e2f151fchunk-99b0ec7f7e006561352b5d65e849611d'}> +2024-10-30 05:09:55,103 - lightrag - INFO - _do_upsert:query: + MERGE (n:`GEESE`) SET n += $properties RETURN n - :result:{'entity_type': '"GEO"', 'description': '"Poultry refers to various birds used for Christmas meals, representing the culinary traditions of the holiday."', 'source_id': 'chunk-99b0ec7f7e006561352b5d65e849611d'} -2024-10-29 13:34:18,069 - lightrag - INFO - _do_upsert:query: - MERGE (n:`CHESTNUTS`) + :result:{'entity_type': '"ORGANIZATION"', 'description': '"Geese are also traditional food items that may be included in Christmas feasts, adding to the holiday cheer.""Geese are another traditional food item during Christmas, contributing to the festive dining experiences.""Geese are included in the festive feast, representing the bounty and celebration associated with Christmas."', 'source_id': 'chunk-99b0ec7f7e006561352b5d65e849611dchunk-843b5b2f944c7413d9ca876e2e2f151f'} +2024-10-30 05:09:55,247 - lightrag - INFO - get_node:query:MATCH (n:`BRAWN`) RETURN n:result: +2024-10-30 05:09:55,386 - lightrag - INFO - _do_upsert:query: + MERGE (n:`BRAWN`) SET n += $properties RETURN n - :result:{'entity_type': '"GEO"', 'description': '"Chestnuts are a festive food mentioned among the goods sold during Christmas, adding to the holiday\'s sensory experience."', 'source_id': 'chunk-99b0ec7f7e006561352b5d65e849611d'} -2024-10-29 13:34:18,345 - lightrag - INFO - _do_upsert:query: - MERGE (n:`SPANISH ONIONS`) + :result:{'entity_type': '"ORGANIZATION"', 'description': '"Brawn is a type of meat included in the festive gathering, representing the richness of the Christmas feast.""Brawn refers to a traditional meat dish that may be part of Christmas festivities, highlighting culinary practices of the season."', 'source_id': 'chunk-99b0ec7f7e006561352b5d65e849611dchunk-843b5b2f944c7413d9ca876e2e2f151f'} +2024-10-30 05:09:55,657 - lightrag - INFO - _do_upsert:query: + MERGE (n:`CITY STREETS`) SET n += $properties RETURN n - :result:{'entity_type': '"GEO"', 'description': '"Spanish Onions are a vegetable featured in the festive markets, enhancing the richness of Christmas cooking."', 'source_id': 'chunk-99b0ec7f7e006561352b5d65e849611d'} -2024-10-29 13:34:18,612 - lightrag - INFO - _do_upsert:query: - MERGE (n:`APPLES`) + :result:{'entity_type': '"GEO"', 'description': '"City Streets are referenced as the setting where people are celebrating and making music, contributing to the festive atmosphere of Christmas morning."', 'source_id': 'chunk-99b0ec7f7e006561352b5d65e849611d'} +2024-10-30 05:09:55,917 - lightrag - INFO - _do_upsert:query: + MERGE (n:`SNOW`) SET n += $properties RETURN n - :result:{'entity_type': '"GEO"', 'description': '"Apples are a seasonal fruit displayed prominently during Christmas markets, symbolizing traditional holiday fare."', 'source_id': 'chunk-99b0ec7f7e006561352b5d65e849611d'} -2024-10-29 13:34:18,881 - lightrag - INFO - _do_upsert:query: - MERGE (n:`PEARS`) + :result:{'entity_type': '"GEO"', 'description': '"Snow is a significant element of the Christmas setting, emphasizing the winter atmosphere and contributing to the imagery of the holiday."', 'source_id': 'chunk-99b0ec7f7e006561352b5d65e849611d'} +2024-10-30 05:09:56,193 - lightrag - INFO - _do_upsert:query: + MERGE (n:`PARAPETS`) SET n += $properties RETURN n - :result:{'entity_type': '"GEO"', 'description': '"Pears are another fruit contributing to the vibrant offerings in markets during the Christmas season."', 'source_id': 'chunk-99b0ec7f7e006561352b5d65e849611d'} -2024-10-29 13:34:19,152 - lightrag - INFO - _do_upsert:query: - MERGE (n:`GRAPES`) + :result:{'entity_type': '"GEO"', 'description': '"Parapets are structures that people use to engage in playful activities, such as throwing snowballs during Christmas celebrations."', 'source_id': 'chunk-99b0ec7f7e006561352b5d65e849611d'} +2024-10-30 05:09:56,464 - lightrag - INFO - _do_upsert:query: + MERGE (n:`SPIRIT OF CHRISTMAS PRESENT`) SET n += $properties RETURN n - :result:{'entity_type': '"GEO"', 'description': '"Grapes are included in the festive market displays, representing holiday indulgence."', 'source_id': 'chunk-99b0ec7f7e006561352b5d65e849611d'} -2024-10-29 13:34:19,429 - lightrag - INFO - _do_upsert:query: - MERGE (n:`FILBERTS`) + :result:{'entity_type': '"PERSON"', 'description': '"The Spirit of Christmas Present embodies the spirit of generosity and compassion, showing Scrooge scenes of joy and festivity among the poor."', 'source_id': 'chunk-b0f459f5af1c3a5e0b92cbe4ee48b77b'} +2024-10-30 05:09:56,601 - lightrag - INFO - get_node:query:MATCH (n:`PETER CRATCHIT`) RETURN n:result:"Peter Cratchit is a member of the Cratchit family who participates in expressing their unity and happiness."', 'source_id': 'chunk-91572b3cd42786ba4cb2f180ca25cbf4chunk-b0f459f5af1c3a5e0b92cbe4ee48b77b'}> +2024-10-30 05:09:56,737 - lightrag - INFO - _do_upsert:query: + MERGE (n:`PETER CRATCHIT`) SET n += $properties RETURN n - :result:{'entity_type': '"GEO"', 'description': '"Filberts are nuts that evoke nostalgia and contribute to the traditional foods associated with Christmas."', 'source_id': 'chunk-99b0ec7f7e006561352b5d65e849611d'} -2024-10-29 13:34:19,708 - lightrag - INFO - _do_upsert:query: - MERGE (n:`NORFOLK BIFFINS`) + :result:{'entity_type': '"PERSON"', 'description': '"Peter Cratchit is Bob\'s son, excited about dressing up and participating in the festive meal preparation.""Peter Cratchit is a member of the Cratchit family who participates in expressing their unity and happiness.""Peter Cratchit is Bob\'s son, excited about his clothing and preparing a festive meal, symbolizing youthful innocence and hope.""Peter Cratchit is one of Bob Cratchit\'s children, involved in family dynamics and interactions surrounding Tiny Tim.""Peter Cratchit is one of the Cratchit children, shown to be active and enthusiastic during the Christmas celebration.""Peter Cratchit is the eldest son of Bob and Mrs. Cratchit, who is portrayed as contemplative about his future as he considers a potential job opportunity."', 'source_id': 'chunk-91572b3cd42786ba4cb2f180ca25cbf4chunk-b0f459f5af1c3a5e0b92cbe4ee48b77bchunk-7e2e7ebcc19a53b399dc03aded4743e7chunk-19d72c57ae3408758b18d2568e86dc6b'} +2024-10-30 05:09:57,011 - lightrag - INFO - _do_upsert:query: + MERGE (n:`THE CRATCHIT HOUSEHOLD`) SET n += $properties RETURN n - :result:{'entity_type': '"GEO"', 'description': '"Norfolk Biffins are a type of apple referenced in the context of Christmas fruit offerings."', 'source_id': 'chunk-99b0ec7f7e006561352b5d65e849611d'} -2024-10-29 13:34:19,983 - lightrag - INFO - _do_upsert:query: - MERGE (n:`FIGS`) + :result:{'entity_type': '"ORGANIZATION"', 'description': '"The Cratchit Household represents a loving family unit, managing to find joy despite their financial struggles."', 'source_id': 'chunk-b0f459f5af1c3a5e0b92cbe4ee48b77b'} +2024-10-30 05:09:57,143 - lightrag - INFO - get_node:query:MATCH (n:`CHRISTMAS DAY`) RETURN n:result:"Christmas Day is a significant holiday that marks the time of Scrooge\'s revelation and intent to change.""Christmas Day is celebrated by the Cratchit family with a communal meal and expressions of joy and togetherness, highlighting the importance of family and gratitude.""Christmas Day serves as the central event around which the family gathers and reflects on their feelings towards Scrooge."', 'source_id': 'chunk-90b95db5c53e4364a6bee36b7aa4d70fchunk-19d72c57ae3408758b18d2568e86dc6bchunk-7e2e7ebcc19a53b399dc03aded4743e7chunk-b0f459f5af1c3a5e0b92cbe4ee48b77b'}> +2024-10-30 05:09:57,281 - lightrag - INFO - _do_upsert:query: + MERGE (n:`CHRISTMAS DAY`) SET n += $properties RETURN n - :result:{'entity_type': '"GEO"', 'description': '"Figs are sweet fruits that are particularly mentioned as part of the festive market offerings during Christmas."', 'source_id': 'chunk-99b0ec7f7e006561352b5d65e849611d'} -2024-10-29 13:34:20,259 - lightrag - INFO - _do_upsert:query: - MERGE (n:`FRENCH PLUMS`) + :result:{'entity_type': '"EVENT"', 'description': '"Christmas Day is a holiday during which the characters express joy and the significance of communal dining.""Christmas Day is a significant holiday that marks the time of Scrooge\'s revelation and intent to change.""Christmas Day is celebrated by the Cratchit family with a communal meal and expressions of joy and togetherness, highlighting the importance of family and gratitude.""Christmas Day serves as the central event around which the family gathers and reflects on their feelings towards Scrooge.""Christmas Day is portrayed as a day of celebration and gathering, emphasizing themes of togetherness and generosity.""Christmas Day serves as a central event for the gathering of the Cratchit family, filled with mixed feelings about their employer, Scrooge.""Christmas Day serves as the backdrop for Scrooge\'s transformation, representing joy, celebration, and new beginnings."', 'source_id': 'chunk-90b95db5c53e4364a6bee36b7aa4d70fchunk-b0f459f5af1c3a5e0b92cbe4ee48b77bchunk-7e2e7ebcc19a53b399dc03aded4743e7chunk-19d72c57ae3408758b18d2568e86dc6b'} +2024-10-30 05:09:57,549 - lightrag - INFO - _do_upsert:query: + MERGE (n:`THE GROCER`) SET n += $properties RETURN n - :result:{'entity_type': '"GEO"', 'description': '"French Plums are fruits showcased in the Christmas markets, adding to the eclectic array of festive produce."', 'source_id': 'chunk-99b0ec7f7e006561352b5d65e849611d'} -2024-10-29 13:34:20,533 - lightrag - INFO - _do_upsert:query: - MERGE (n:`PETER CRATCHIT`) + :result:{'entity_type': '"PERSON"', 'description': '"The Grocer is depicted as a welcoming figure who interacts with customers in a friendly manner, symbolizing community spirit."', 'source_id': 'chunk-b0f459f5af1c3a5e0b92cbe4ee48b77b'} +2024-10-30 05:09:57,682 - lightrag - INFO - get_node:query:MATCH (n:`THE PEOPLE`) RETURN n:result: +2024-10-30 05:09:57,819 - lightrag - INFO - _do_upsert:query: + MERGE (n:`THE PEOPLE`) SET n += $properties RETURN n - :result:{'entity_type': '"PERSON"', 'description': '"Peter Cratchit is Bob\'s son, excited about dressing up and participating in the festive meal preparation.""Peter Cratchit is a member of the Cratchit family who participates in expressing their unity and happiness."', 'source_id': 'chunk-91572b3cd42786ba4cb2f180ca25cbf4chunk-b0f459f5af1c3a5e0b92cbe4ee48b77b'} -2024-10-29 13:34:20,796 - lightrag - INFO - _do_upsert:query: - MERGE (n:`THE GHOST OF CHRISTMAS PRESENT`) + :result:{'entity_type': '"ORGANIZATION"', 'description': '"The People refer to the townsfolk whom Scrooge encounters, showcasing the communal spirit of Christmas.""The People refers to the inhabitants of the quarter, characterized by their desperate living conditions and societal challenges.""The People represent the townsfolk who come together in celebration during the Christmas season, highlighting communal joy and participation.""The People represent the various individuals Scrooge encounters during his joyful walk, symbolizing community and shared happiness."', 'source_id': 'chunk-b0f459f5af1c3a5e0b92cbe4ee48b77bchunk-8f738cb25d60a7dab782162d9d0a25edchunk-f1a4fbcf1ed86864b9bfd5e8dba4c683'} +2024-10-30 05:09:58,108 - lightrag - INFO - _do_upsert:query: + MERGE (n:`THE SPIRIT'S TORCH`) SET n += $properties RETURN n - :result:{'entity_type': '"EVENT"', 'description': '"The Ghost of Christmas Present is a spirit that guides Scrooge through his memories and the joy of the present Christmas celebration.""The Ghost of Christmas Present is a supernatural being that shows Scrooge the true spirit of Christmas, including kindness towards the poor.""The Ghost of Christmas Present signifies abundance and the spirit of joy that Scrooge is encouraged to embrace."', 'source_id': 'chunk-90b95db5c53e4364a6bee36b7aa4d70fchunk-43c9bee23adfa77aa9dedd22401bba7dchunk-b0f459f5af1c3a5e0b92cbe4ee48b77b'} -2024-10-29 13:34:21,070 - lightrag - INFO - _do_upsert:query: - MERGE (n:`CHRISTMAS DAY`) + :result:{'entity_type': '"TECHNOLOGY"', 'description': '"The Spirit\'s Torch is a unique tool used by the Spirit of Christmas Present to sprinkle blessings and create goodwill among people.""The Spirit\'s Torch symbolizes the joy and magic of the Christmas spirit, illuminating the family\'s happiness despite their hardships."', 'source_id': 'chunk-b0f459f5af1c3a5e0b92cbe4ee48b77bchunk-19d72c57ae3408758b18d2568e86dc6b'} +2024-10-30 05:09:58,405 - lightrag - INFO - _do_upsert:query: + MERGE (n:`THE BAKER'S SHOP`) SET n += $properties RETURN n - :result:{'entity_type': '"EVENT"', 'description': '"Christmas Day is a holiday during which the characters express joy and the significance of communal dining.""Christmas Day is a significant holiday that marks the time of Scrooge\'s revelation and intent to change.""Christmas Day is celebrated by the Cratchit family with a communal meal and expressions of joy and togetherness, highlighting the importance of family and gratitude.""Christmas Day serves as the central event around which the family gathers and reflects on their feelings towards Scrooge."', 'source_id': 'chunk-90b95db5c53e4364a6bee36b7aa4d70fchunk-19d72c57ae3408758b18d2568e86dc6bchunk-7e2e7ebcc19a53b399dc03aded4743e7chunk-b0f459f5af1c3a5e0b92cbe4ee48b77b'} -2024-10-29 13:34:21,343 - lightrag - INFO - _do_upsert:query: - MERGE (n:`BAKER'S SHOPS`) + :result:{'entity_type': '"ORGANIZATION"', 'description': '"The Baker\'s Shop is a significant location where townspeople gather to procure their meals, indicating a hub of community activity."', 'source_id': 'chunk-b0f459f5af1c3a5e0b92cbe4ee48b77b'} +2024-10-30 05:09:58,538 - lightrag - INFO - get_node:query:MATCH (n:`DINNERS`) RETURN n:result: +2024-10-30 05:09:58,675 - lightrag - INFO - _do_upsert:query: + MERGE (n:`DINNERS`) SET n += $properties RETURN n - :result:{'entity_type': '"GEO"', 'description': '"Baker\'s Shops are locations where people bring their dinners, showcasing the community\'s festive preparation."', 'source_id': 'chunk-b0f459f5af1c3a5e0b92cbe4ee48b77b'} -2024-10-29 13:34:21,616 - lightrag - INFO - _do_upsert:query: - MERGE (n:`WICKER BASKETS`) + :result:{'entity_type': '"EVENT"', 'description': '"Dinners refer to the meals shared by families on Christmas Day, representing the joy and nourishment that bring people together.""Dinners represent the communal and familial gatherings that occur during Christmas, emphasized in the text as significant for enjoyment and sharing."', 'source_id': 'chunk-b0f459f5af1c3a5e0b92cbe4ee48b77b'} +2024-10-30 05:09:58,948 - lightrag - INFO - _do_upsert:query: + MERGE (n:`THE STREETS`) SET n += $properties RETURN n - :result:{'entity_type': '"GEO"', 'description': '"Wicker Baskets are mentioned as items that characters use to carry their purchases, symbolizing the festive preparations of the community."', 'source_id': 'chunk-b0f459f5af1c3a5e0b92cbe4ee48b77b'} -2024-10-29 13:34:21,888 - lightrag - INFO - _do_upsert:query: - MERGE (n:`DINNERS`) + :result:{'entity_type': '"GEO"', 'description': '"The Streets are the setting for the gatherings and interactions of townspeople during Christmas, showcasing the festive atmosphere."', 'source_id': 'chunk-b0f459f5af1c3a5e0b92cbe4ee48b77b'} +2024-10-30 05:09:59,216 - lightrag - INFO - _do_upsert:query: + MERGE (n:`THE SUBURBS`) SET n += $properties RETURN n - :result:{'entity_type': '"EVENT"', 'description': '"Dinners represent the communal and familial gatherings that occur during Christmas, emphasized in the text as significant for enjoyment and sharing."', 'source_id': 'chunk-b0f459f5af1c3a5e0b92cbe4ee48b77b'} -2024-10-29 13:34:22,161 - lightrag - INFO - _do_upsert:query: - MERGE (n:`CHRISTMAS GOOSE`) + :result:{'entity_type': '"GEO"', 'description': '"The Suburbs are depicted as the area where the Spirit takes Scrooge to observe the lives of the less fortunate, emphasizing social issues."', 'source_id': 'chunk-b0f459f5af1c3a5e0b92cbe4ee48b77b'} +2024-10-30 05:09:59,493 - lightrag - INFO - _do_upsert:query: + MERGE (n:`THE NIGHT`) SET n += $properties RETURN n - :result:{'entity_type': '"FOOD"', 'description': '"The Christmas Goose is a traditional dish that symbolizes festive feasting and joy during the holiday."', 'source_id': 'chunk-b0f459f5af1c3a5e0b92cbe4ee48b77b'} -2024-10-29 13:34:22,432 - lightrag - INFO - _do_upsert:query: - MERGE (n:`FOUR-ROOMED HOUSE`) + :result:{'entity_type': '"EVENT"', 'description': '"The Night, particularly Christmas Eve, is framed as a time for reflection and celebration as families prepare for the festivities."', 'source_id': 'chunk-b0f459f5af1c3a5e0b92cbe4ee48b77b'} +2024-10-30 05:09:59,629 - lightrag - INFO - get_node:query:MATCH (n:`CRATCHIT FAMILY`) RETURN n:result:"The Cratchit Family is portrayed as a close-knit group who, despite their hardships, find joy and gratitude during the Christmas gathering.""The Cratchit Family is portrayed as a loving unit celebrating Christmas together, with various members actively participating in the festivities.""The Cratchit family represents a unit bound by love and resilience in the face of adversity, dealing with emotional and financial struggles."', 'source_id': 'chunk-83ac129dc9b56f84c46760d153d68e93chunk-503f0bfa5453467c7c61d160a3540ecachunk-7e2e7ebcc19a53b399dc03aded4743e7chunk-19d72c57ae3408758b18d2568e86dc6b'}> +2024-10-30 05:09:59,768 - lightrag - INFO - _do_upsert:query: + MERGE (n:`CRATCHIT FAMILY`) SET n += $properties RETURN n - :result:{'entity_type': '"GEO"', 'description': '"Bob Cratchit\'s four-roomed house serves as a setting that reflects the modest means yet warm atmosphere of the Cratchit family."', 'source_id': 'chunk-b0f459f5af1c3a5e0b92cbe4ee48b77b'} -2024-10-29 13:34:22,703 - lightrag - INFO - _do_upsert:query: - MERGE (n:`THE BAKER'S DOORWAY`) + :result:{'entity_type': '"ORGANIZATION"', 'description': '"The Cratchit Family consists of Bob, Mrs. Cratchit, and their children, embodying themes of family unity and contentment despite hardships.""The Cratchit Family is a close-knit family characterized by love and togetherness, celebrating Christmas with simple but joyful traditions.""The Cratchit Family is portrayed as a close-knit group who, despite their hardships, find joy and gratitude during the Christmas gathering.""The Cratchit Family is portrayed as a loving unit celebrating Christmas together, with various members actively participating in the festivities.""The Cratchit family represents a unit bound by love and resilience in the face of adversity, dealing with emotional and financial struggles.""The Cratchit Family is depicted as a warm and loving household celebrating Christmas together, with various members actively participating in the festivities."', 'source_id': 'chunk-7e2e7ebcc19a53b399dc03aded4743e7chunk-503f0bfa5453467c7c61d160a3540ecachunk-83ac129dc9b56f84c46760d153d68e93chunk-19d72c57ae3408758b18d2568e86dc6b'} +2024-10-30 05:09:59,903 - lightrag - INFO - get_node:query:MATCH (n:`MARTHA`) RETURN n:result: +2024-10-30 05:10:00,042 - lightrag - INFO - _do_upsert:query: + MERGE (n:`MARTHA`) SET n += $properties RETURN n - :result:{'entity_type': '"GEO"', 'description': '"The Baker\'s Doorway is a place where the Spirit and Scrooge observe dinner carriers, indicating the communal effort in preparing for Christmas."', 'source_id': 'chunk-b0f459f5af1c3a5e0b92cbe4ee48b77b'} -2024-10-29 13:34:22,979 - lightrag - INFO - _do_upsert:query: - MERGE (n:`ANGRY WORDS`) + :result:{'entity_type': '"PERSON"', 'description': '"Martha is a poor apprentice at a milliner\'s and shares her experience with the family during their Christmas gathering, contributing to the family atmosphere.""Martha is the daughter in the Cratchit family, who makes a dramatic entrance to surprise her family, highlighting the family\'s closeness."', 'source_id': 'chunk-7e2e7ebcc19a53b399dc03aded4743e7chunk-19d72c57ae3408758b18d2568e86dc6b'} +2024-10-30 05:10:00,312 - lightrag - INFO - _do_upsert:query: + MERGE (n:`CRATCHIT CHRISTMAS DINNER`) SET n += $properties RETURN n - :result:{'entity_type': '"EVENT"', 'description': '"Angry Words refer to conflicts that arise between dinner carriers, showcasing human interactions and the spirit of camaraderie needed during the holiday."', 'source_id': 'chunk-b0f459f5af1c3a5e0b92cbe4ee48b77b'} -2024-10-29 13:34:23,256 - lightrag - INFO - _do_upsert:query: - MERGE (n:`BAKERS`) + :result:{'entity_type': '"EVENT"', 'description': '"Cratchit Christmas Dinner is a festive occasion filled with joy, love, and togetherness as the family celebrates the holiday."', 'source_id': 'chunk-7e2e7ebcc19a53b399dc03aded4743e7'} +2024-10-30 05:10:00,445 - lightrag - INFO - get_node:query:MATCH (n:`THE GOOSE`) RETURN n:result: +2024-10-30 05:10:00,581 - lightrag - INFO - _do_upsert:query: + MERGE (n:`THE GOOSE`) SET n += $properties RETURN n - :result:{'entity_type': '"ORGANIZATION"', 'description': '"Bakers are individuals contributing to the community\'s ability to celebrate by providing food for Christmas."', 'source_id': 'chunk-b0f459f5af1c3a5e0b92cbe4ee48b77b'} -2024-10-29 13:34:23,537 - lightrag - INFO - _do_upsert:query: - MERGE (n:`SAGE AND ONION`) + :result:{'entity_type': '"EVENT"', 'description': '"The Goose is a central dish enjoyed by the Cratchit family during their Christmas dinner, symbolizing abundance and celebration.""The Goose is a central element of the Cratchit Christmas dinner, representing abundance and the joy of the holiday as the family eagerly anticipates its serving.""The Goose is a central part of the Cratchit family Christmas dinner, which they celebrate with excitement and anticipation, symbolizing abundance and joy."', 'source_id': 'chunk-7e2e7ebcc19a53b399dc03aded4743e7chunk-503f0bfa5453467c7c61d160a3540eca'} +2024-10-30 05:10:00,851 - lightrag - INFO - _do_upsert:query: + MERGE (n:`THE YOUNG CRATCHITS`) SET n += $properties RETURN n - :result:{'entity_type': '"FOOD"', 'description': '"Sage and Onion are ingredients associated with the traditional preparation of Christmas Goose, evoking the culinary aspects of the holiday.""Sage and Onion is an ingredient used in the Cratchit family\'s Christmas dinner, symbolizing traditional cooking and festive meals."', 'source_id': 'chunk-503f0bfa5453467c7c61d160a3540ecachunk-b0f459f5af1c3a5e0b92cbe4ee48b77b'} -2024-10-29 13:34:23,802 - lightrag - INFO - _do_upsert:query: - MERGE (n:`CRATCHIT FAMILY`) + :result:{'entity_type': '"ORGANIZATION"', 'description': '"The Young Cratchits are the children in the Cratchit family who contribute to the lively atmosphere, expressing excitement and involvement in the Christmas celebrations."', 'source_id': 'chunk-7e2e7ebcc19a53b399dc03aded4743e7'} +2024-10-30 05:10:00,982 - lightrag - INFO - get_node:query:MATCH (n:`THE PUDDING`) RETURN n:result: +2024-10-30 05:10:01,116 - lightrag - INFO - _do_upsert:query: + MERGE (n:`THE PUDDING`) SET n += $properties RETURN n - :result:{'entity_type': '"ORGANIZATION"', 'description': '"The Cratchit Family is a close-knit family characterized by love and togetherness, celebrating Christmas with simple but joyful traditions.""The Cratchit Family is portrayed as a close-knit group who, despite their hardships, find joy and gratitude during the Christmas gathering.""The Cratchit Family is portrayed as a loving unit celebrating Christmas together, with various members actively participating in the festivities.""The Cratchit family represents a unit bound by love and resilience in the face of adversity, dealing with emotional and financial struggles."', 'source_id': 'chunk-83ac129dc9b56f84c46760d153d68e93chunk-503f0bfa5453467c7c61d160a3540ecachunk-7e2e7ebcc19a53b399dc03aded4743e7chunk-19d72c57ae3408758b18d2568e86dc6b'} -2024-10-29 13:34:24,067 - lightrag - INFO - _do_upsert:query: - MERGE (n:`MASTER PETER CRATCHIT`) + :result:{'entity_type': '"EVENT"', 'description': '"The Pudding is a special dessert made by Mrs. Cratchit, described as hard and firm, and is a source of pride and excitement for the family.""The Pudding is a traditional dish prepared for Christmas, symbolizing festivity and the warmth of family gatherings.""The Pudding is a traditional dish served at the Cratchit Christmas dinner, symbolizing festive joy and family gatherings."', 'source_id': 'chunk-7e2e7ebcc19a53b399dc03aded4743e7chunk-503f0bfa5453467c7c61d160a3540ecachunk-90d5764e301321c087f5a8f78b73a145'} +2024-10-30 05:10:01,249 - lightrag - INFO - get_node:query:MATCH (n:`THE FIRE`) RETURN n:result: +2024-10-30 05:10:01,386 - lightrag - INFO - _do_upsert:query: + MERGE (n:`THE FIRE`) SET n += $properties RETURN n - :result:{'entity_type': '"PERSON"', 'description': '"Master Peter Cratchit is one of the young sons in the Cratchit family, actively contributes to the family\'s Christmas preparations with energy and enthusiasm."', 'source_id': 'chunk-7e2e7ebcc19a53b399dc03aded4743e7'} -2024-10-29 13:34:24,338 - lightrag - INFO - _do_upsert:query: - MERGE (n:`THE GOOSE`) + :result:{'entity_type': '"EVENT"', 'description': '"The Fire represents warmth and comfort during the family gathering, enhancing the atmosphere of camaraderie.""The Fire represents warmth and comfort in the Cratchit household, inviting family members to gather around during their Christmas celebration."', 'source_id': 'chunk-7e2e7ebcc19a53b399dc03aded4743e7chunk-773d0df1dd25c356f7b771d780583e09'} +2024-10-30 05:10:01,522 - lightrag - INFO - get_node:query:MATCH (n:`THE DINNER`) RETURN n:result: +2024-10-30 05:10:01,659 - lightrag - INFO - _do_upsert:query: + MERGE (n:`THE DINNER`) SET n += $properties RETURN n - :result:{'entity_type': '"EVENT"', 'description': '"The Goose is a central part of the Cratchit family Christmas dinner, which they celebrate with excitement and anticipation, symbolizing abundance and joy."', 'source_id': 'chunk-7e2e7ebcc19a53b399dc03aded4743e7'} -2024-10-29 13:34:24,619 - lightrag - INFO - _do_upsert:query: - MERGE (n:`CHRISTMAS PUDDING`) + :result:{'entity_type': '"EVENT"', 'description': '"The Dinner is a festive event where the Cratchit family gathers to enjoy a meal, including a special goose and pudding, symbolizing their togetherness.""The Dinner is a social event characterized by laughter, music, and discussions about Scrooge, portraying a festive Christmas gathering."', 'source_id': 'chunk-773d0df1dd25c356f7b771d780583e09chunk-503f0bfa5453467c7c61d160a3540eca'} +2024-10-30 05:10:01,933 - lightrag - INFO - _do_upsert:query: + MERGE (n:`MISS BELINDA`) SET n += $properties RETURN n - :result:{'entity_type': '"EVENT"', 'description': '"The Christmas Pudding is a significant dish prepared by Mrs. Cratchit, symbolizing the family\'s festive celebration and unity."', 'source_id': 'chunk-503f0bfa5453467c7c61d160a3540eca'} -2024-10-29 13:34:24,891 - lightrag - INFO - _do_upsert:query: - MERGE (n:`CRATCHIT DINNER`) + :result:{'entity_type': '"PERSON"', 'description': '"Miss Belinda is a member of the Cratchit family who assists in the dinner preparations, specifically changing the plates."', 'source_id': 'chunk-503f0bfa5453467c7c61d160a3540eca'} +2024-10-30 05:10:02,205 - lightrag - INFO - _do_upsert:query: + MERGE (n:`THE FOUNDER OF THE FEAST`) SET n += $properties RETURN n - :result:{'entity_type': '"EVENT"', 'description': '"The Cratchit Dinner is a gathering of the Cratchit family for their Christmas feast, embodying tradition and familial love."', 'source_id': 'chunk-503f0bfa5453467c7c61d160a3540eca'} -2024-10-29 13:34:25,158 - lightrag - INFO - _do_upsert:query: - MERGE (n:`CHIMNEY CORNER`) + :result:{'entity_type': '"TITLE"', 'description': '"The Founder of the Feast refers to Scrooge, whom Bob Cratchit acknowledges during the Christmas dinner, signifying gratitude toward Scrooge\'s provision for the meal."', 'source_id': 'chunk-503f0bfa5453467c7c61d160a3540eca'} +2024-10-30 05:10:02,338 - lightrag - INFO - get_node:query:MATCH (n:`THE COUNTESS`) RETURN n:result: +2024-10-30 05:10:02,484 - lightrag - INFO - _do_upsert:query: + MERGE (n:`THE COUNTESS`) SET n += $properties RETURN n - :result:{'entity_type': '"GEO"', 'description': '"The Chimney Corner refers to a specific location in the Cratchit household associated with warmth and family gatherings during the holiday season."', 'source_id': 'chunk-503f0bfa5453467c7c61d160a3540eca'} -2024-10-29 13:34:25,430 - lightrag - INFO - _do_upsert:query: - MERGE (n:`SURPLUS POPULATION`) + :result:{'entity_type': '"PERSON"', 'description': '"The Countess is mentioned by Martha, indicating an encounter that highlights the social stratification and aspirations of the Cratchit family.""The Countess is referenced by Martha, showcasing her interaction with figures of higher social status, contrasting with the Cratchit family\'s situation."', 'source_id': 'chunk-19d72c57ae3408758b18d2568e86dc6b'} +2024-10-30 05:10:02,616 - lightrag - INFO - get_node:query:MATCH (n:`THE LORD`) RETURN n:result: +2024-10-30 05:10:02,749 - lightrag - INFO - _do_upsert:query: + MERGE (n:`THE LORD`) SET n += $properties RETURN n - :result:{'entity_type': '"CONCEPT"', 'description': '"Surplus Population is a concept referenced in Scrooge\'s reflection on societal values and the consequences of neglect, particularly concerning the vulnerable."', 'source_id': 'chunk-503f0bfa5453467c7c61d160a3540eca'} -2024-10-29 13:34:25,700 - lightrag - INFO - _do_upsert:query: - MERGE (n:`FEAST`) + :result:{'entity_type': '"PERSON"', 'description': '"The Lord is mentioned by Martha as someone she encountered, illustrating her experiences outside her family\'s struggles.""The Lord is referenced in Martha\'s account of her work, underscoring the contrast between the Cratchit family\'s modest means and the nobility."', 'source_id': 'chunk-19d72c57ae3408758b18d2568e86dc6b'} +2024-10-30 05:10:03,027 - lightrag - INFO - _do_upsert:query: + MERGE (n:`THE GATHERING`) SET n += $properties RETURN n - :result:{'entity_type': '"EVENT"', 'description': '"The Feast refers to the Christmas celebration involving food and family, symbolizing gratitude and festive traditions."', 'source_id': 'chunk-503f0bfa5453467c7c61d160a3540eca'} -2024-10-29 13:34:25,975 - lightrag - INFO - _do_upsert:query: - MERGE (n:`HANDLE OF KNIFE`) + :result:{'entity_type': '"EVENT"', 'description': '"The Gathering refers to the collective event of the family coming together to celebrate Christmas, filled with warmth and camaraderie despite their struggles."', 'source_id': 'chunk-19d72c57ae3408758b18d2568e86dc6b'} +2024-10-30 05:10:03,157 - lightrag - INFO - get_node:query:MATCH (n:`THE LIGHTHOUSE`) RETURN n:result: +2024-10-30 05:10:03,291 - lightrag - INFO - _do_upsert:query: + MERGE (n:`THE LIGHTHOUSE`) SET n += $properties RETURN n - :result:{'entity_type': '"OBJECT"', 'description': '"The Handle of Knife used by Tiny Tim during Christmas dinner signifies the child\'s involvement and excitement in the festive celebrations."', 'source_id': 'chunk-503f0bfa5453467c7c61d160a3540eca'} -2024-10-29 13:34:26,246 - lightrag - INFO - _do_upsert:query: - MERGE (n:`PLATES`) + :result:{'entity_type': '"GEO"', 'description': '"The Lighthouse is a solitary structure standing on a reef, symbolizing hope and guidance amidst the tumultuous sea.""The Lighthouse serves as a solitary structure representing hope and guidance amid a stormy sea, populated by individuals celebrating Christmas."', 'source_id': 'chunk-91614df5cb74cbe5e109a338a82041e9'} +2024-10-30 05:10:03,424 - lightrag - INFO - get_node:query:MATCH (n:`THE SHIP`) RETURN n:result: +2024-10-30 05:10:03,558 - lightrag - INFO - _do_upsert:query: + MERGE (n:`THE SHIP`) SET n += $properties RETURN n - :result:{'entity_type': '"OBJECT"', 'description': '"The Plates represent the meal served and the act of sharing food, highlighting the importance of gathering around the table as a family."', 'source_id': 'chunk-503f0bfa5453467c7c61d160a3540eca'} -2024-10-29 13:34:26,520 - lightrag - INFO - _do_upsert:query: - MERGE (n:`HEARTH`) + :result:{'entity_type': '"GEO"', 'description': '"The Ship is a vessel where the crew shares moments of kindness and reflection during Christmas, symbolizing unity and camaraderie.""The Ship is described as a vessel on the open sea, where the crew reflects on Christmas, showcasing camaraderie and a sense of belonging."', 'source_id': 'chunk-91614df5cb74cbe5e109a338a82041e9'} +2024-10-30 05:10:03,692 - lightrag - INFO - get_node:query:MATCH (n:`THE LAMPLIGHTER`) RETURN n:result: +2024-10-30 05:10:03,828 - lightrag - INFO - _do_upsert:query: + MERGE (n:`THE LAMPLIGHTER`) SET n += $properties RETURN n - :result:{'entity_type': '"GEO"', 'description': '"The Hearth represents the heart of the home where the family gathers, symbolizing warmth, comfort, and family ties."', 'source_id': 'chunk-503f0bfa5453467c7c61d160a3540eca'} -2024-10-29 13:34:26,797 - lightrag - INFO - _do_upsert:query: - MERGE (n:`APPLE SAUCE`) + :result:{'entity_type': '"PERSON"', 'description': '"The Lamplighter is a character who brings light to the street, symbolizing hope and joy as he dotting the dusky street with specks of light.""The Lamplighter is a character who fills the street with light, representing the warmth and joy of the holiday season."', 'source_id': 'chunk-91614df5cb74cbe5e109a338a82041e9'} +2024-10-30 05:10:04,096 - lightrag - INFO - _do_upsert:query: + MERGE (n:`THE MOOR`) SET n += $properties RETURN n - :result:{'entity_type': '"OBJECT"', 'description': '"Apple Sauce is a dish served with the Cratchit family\'s Christmas dinner, contributing to the festive meal."', 'source_id': 'chunk-503f0bfa5453467c7c61d160a3540eca'} -2024-10-29 13:34:27,069 - lightrag - INFO - _do_upsert:query: - MERGE (n:`MASHED POTATOES`) + :result:{'entity_type': '"GEO"', 'description': '"The Moor is depicted as a bleak and desolate landscape, symbolizing the harsh conditions where miners live."', 'source_id': 'chunk-91614df5cb74cbe5e109a338a82041e9'} +2024-10-30 05:10:04,227 - lightrag - INFO - get_node:query:MATCH (n:`THE OLD MAN`) RETURN n:result: +2024-10-30 05:10:04,361 - lightrag - INFO - _do_upsert:query: + MERGE (n:`THE OLD MAN`) SET n += $properties RETURN n - :result:{'entity_type': '"OBJECT"', 'description': '"Mashed Potatoes are another dish served during the Cratchit family\'s Christmas dinner, showcasing the simplicity and warmth of their celebration."', 'source_id': 'chunk-503f0bfa5453467c7c61d160a3540eca'} -2024-10-29 13:34:27,345 - lightrag - INFO - _do_upsert:query: - MERGE (n:`MASTER PETER`) + :result:{'entity_type': '"PERSON"', 'description': '"The Old Man is a character who sings a Christmas song, providing a sense of tradition and warmth amidst the desolate environment.""The Old Man is portrayed as a figure of light and joy among his family, singing a Christmas song that connects generations."', 'source_id': 'chunk-91614df5cb74cbe5e109a338a82041e9'} +2024-10-30 05:10:04,496 - lightrag - INFO - get_node:query:MATCH (n:`THE HUT`) RETURN n:result: +2024-10-30 05:10:04,632 - lightrag - INFO - _do_upsert:query: + MERGE (n:`THE HUT`) SET n += $properties RETURN n - :result:{'entity_type': '"PERSON"', 'description': '"Master Peter is a member of the Cratchit family, who is considered for a job opportunity and reflects on his future prospects during the Christmas gathering."', 'source_id': 'chunk-19d72c57ae3408758b18d2568e86dc6b'} -2024-10-29 13:34:27,620 - lightrag - INFO - _do_upsert:query: - MERGE (n:`MARTHA`) + :result:{'entity_type': '"GEO"', 'description': '"The Hut is a place where miners and their families gather to celebrate Christmas, representing warmth and community.""The Hut is a shelter for the miners that provides warmth and a gathering space for family during the winter, serving as a symbol of refuge."', 'source_id': 'chunk-91614df5cb74cbe5e109a338a82041e9'} +2024-10-30 05:10:04,772 - lightrag - INFO - get_node:query:MATCH (n:`THE MINERS`) RETURN n:result: +2024-10-30 05:10:04,910 - lightrag - INFO - _do_upsert:query: + MERGE (n:`THE MINERS`) SET n += $properties RETURN n - :result:{'entity_type': '"PERSON"', 'description': '"Martha is a poor apprentice at a milliner\'s and shares her experience with the family during their Christmas gathering, contributing to the family atmosphere."', 'source_id': 'chunk-19d72c57ae3408758b18d2568e86dc6b'} -2024-10-29 13:34:27,890 - lightrag - INFO - _do_upsert:query: - MERGE (n:`THE LORD`) + :result:{'entity_type': '"ORGANIZATION"', 'description': '"The Miners are individuals who labor in the moor, showcasing their resilience and connection to Christmas despite their harsh living conditions.""The Miners refer to a group of laborers living in a bleak landscape, embodying the struggles and resilience of working-class life."', 'source_id': 'chunk-91614df5cb74cbe5e109a338a82041e9'} +2024-10-30 05:10:05,187 - lightrag - INFO - _do_upsert:query: + MERGE (n:`THE OFFICERS`) SET n += $properties RETURN n - :result:{'entity_type': '"PERSON"', 'description': '"The Lord is mentioned by Martha as someone she encountered, illustrating her experiences outside her family\'s struggles."', 'source_id': 'chunk-19d72c57ae3408758b18d2568e86dc6b'} -2024-10-29 13:34:28,157 - lightrag - INFO - _do_upsert:query: - MERGE (n:`THE COUNTESS`) + :result:{'entity_type': '"ORGANIZATION"', 'description': '"The Officers are dark, ghostly figures aboard the ship, participating in the shared camaraderie of the Christmas spirit."', 'source_id': 'chunk-91614df5cb74cbe5e109a338a82041e9'} +2024-10-30 05:10:05,462 - lightrag - INFO - _do_upsert:query: + MERGE (n:`THE WAVE`) SET n += $properties RETURN n - :result:{'entity_type': '"PERSON"', 'description': '"The Countess is referenced by Martha, showcasing her interaction with figures of higher social status, contrasting with the Cratchit family\'s situation."', 'source_id': 'chunk-19d72c57ae3408758b18d2568e86dc6b'} -2024-10-29 13:34:28,424 - lightrag - INFO - _do_upsert:query: - MERGE (n:`CHRISTMAS FEAST`) + :result:{'entity_type': '"GEO"', 'description': '"The Wave is described as thundering and raging, representing the overwhelming natural forces present in the sea setting."', 'source_id': 'chunk-91614df5cb74cbe5e109a338a82041e9'} +2024-10-30 05:10:05,598 - lightrag - INFO - get_node:query:MATCH (n:`STORM-BIRDS`) RETURN n:result: +2024-10-30 05:10:05,736 - lightrag - INFO - _do_upsert:query: + MERGE (n:`STORM-BIRDS`) SET n += $properties RETURN n - :result:{'entity_type': '"EVENT"', 'description': '"The Christmas Feast is the central gathering for the Cratchit family, where various interactions occur, highlighting their feelings towards Scrooge."', 'source_id': 'chunk-19d72c57ae3408758b18d2568e86dc6b'} -2024-10-29 13:34:28,694 - lightrag - INFO - _do_upsert:query: - MERGE (n:`THE LAMPLIGHTER`) + :result:{'entity_type': '"GEO"', 'description': '"Storm-Birds are creatures associated with the wild sea, symbolizing the untamed nature of the environment around the lighthouse.""Storm-Birds are depicted as creatures that rise and fall with the waves, symbolizing the harshness of the environment and the connection to the sea."', 'source_id': 'chunk-91614df5cb74cbe5e109a338a82041e9'} +2024-10-30 05:10:05,875 - lightrag - INFO - get_node:query:MATCH (n:`SCROOGE'S NIECE`) RETURN n:result:"Scrooge\'s niece is depicted as a joyful participant in the evening\'s festivities, engaging in games and music."', 'source_id': 'chunk-773d0df1dd25c356f7b771d780583e09chunk-43c9bee23adfa77aa9dedd22401bba7d'}> +2024-10-30 05:10:06,013 - lightrag - INFO - _do_upsert:query: + MERGE (n:`SCROOGE'S NIECE`) SET n += $properties RETURN n - :result:{'entity_type': '"PERSON"', 'description': '"The Lamplighter is a character who fills the street with light, representing the warmth and joy of the holiday season."', 'source_id': 'chunk-91614df5cb74cbe5e109a338a82041e9'} -2024-10-29 13:34:28,963 - lightrag - INFO - _do_upsert:query: - MERGE (n:`THE MINERS`) + :result:{'entity_type': '"PERSON"', 'description': '"Scrooge\'s Niece is a lively character who expresses indignation towards Scrooge\'s disdain for Christmas and embodies warmth and charm, showing affection and concern for family.""Scrooge\'s Niece is depicted as a beautiful and lively character who expresses strong opinions about her uncle Scrooge.""Scrooge\'s niece is depicted as a joyful participant in the evening\'s festivities, engaging in games and music.""Scrooge\'s niece is a central figure in the family gathering, enjoying the festivities and games, showing a loving and vibrant personality."', 'source_id': 'chunk-773d0df1dd25c356f7b771d780583e09chunk-43c9bee23adfa77aa9dedd22401bba7d'} +2024-10-30 05:10:06,150 - lightrag - INFO - get_node:query:MATCH (n:`TOPPER`) RETURN n:result:"Topper is a character who participates in the dinner and seems to have an interest in one of Scrooge\'s niece\'s sisters.""Topper is a guest at the Christmas party, representing the jovial and festive spirit of the gathering with Fred and Scrooge."', 'source_id': 'chunk-94bea83e7153fc2064aa382b494936a1chunk-773d0df1dd25c356f7b771d780583e09chunk-43c9bee23adfa77aa9dedd22401bba7d'}> +2024-10-30 05:10:06,291 - lightrag - INFO - _do_upsert:query: + MERGE (n:`TOPPER`) SET n += $properties RETURN n - :result:{'entity_type': '"ORGANIZATION"', 'description': '"The Miners refer to a group of laborers living in a bleak landscape, embodying the struggles and resilience of working-class life."', 'source_id': 'chunk-91614df5cb74cbe5e109a338a82041e9'} -2024-10-29 13:34:29,230 - lightrag - INFO - _do_upsert:query: - MERGE (n:`THE OLD MAN`) + :result:{'entity_type': '"PERSON"', 'description': '"Topper is a character known for his lively and mischievous behavior during the games at the festive gathering.""Topper is a character who participates in the dinner and seems to have an interest in one of Scrooge\'s niece\'s sisters.""Topper is a guest at the Christmas party, representing the jovial and festive spirit of the gathering with Fred and Scrooge.""Topper is a jovial character who participates in games and is known for his playful and somewhat roguish behavior during the festivities.""Topper is a member of Scrooge\'s Niece\'s social group, characterized by his playful manner and romantic interests, notably towards one of Scrooge\'s Niece\'s sisters.""Topper is one of Fred\'s friends who attends the Christmas gathering, contributing to the joyful atmosphere of the celebration."', 'source_id': 'chunk-773d0df1dd25c356f7b771d780583e09chunk-94bea83e7153fc2064aa382b494936a1chunk-43c9bee23adfa77aa9dedd22401bba7d'} +2024-10-30 05:10:06,427 - lightrag - INFO - get_node:query:MATCH (n:`SCROOGE'S NIECE'S SISTERS`) RETURN n:result: +2024-10-30 05:10:06,566 - lightrag - INFO - _do_upsert:query: + MERGE (n:`SCROOGE'S NIECE'S SISTERS`) SET n += $properties RETURN n - :result:{'entity_type': '"PERSON"', 'description': '"The Old Man is portrayed as a figure of light and joy among his family, singing a Christmas song that connects generations."', 'source_id': 'chunk-91614df5cb74cbe5e109a338a82041e9'} -2024-10-29 13:34:29,507 - lightrag - INFO - _do_upsert:query: - MERGE (n:`THE LIGHTHOUSE`) + :result:{'entity_type': '"PERSON"', 'description': '"Scrooge\'s Niece\'s Sisters are a part of the family gathering, expressing their opinions and adding to the lively atmosphere with their laughter and good humor.""Scrooge\'s Niece\'s Sisters are part of the family gathering, contributing to the lively atmosphere and expressing opinions about Scrooge."', 'source_id': 'chunk-773d0df1dd25c356f7b771d780583e09'} +2024-10-30 05:10:06,701 - lightrag - INFO - get_node:query:MATCH (n:`THE PLUMP SISTER`) RETURN n:result:"The plump sister is a character involved in the games, specifically blind man\'s-buff, and captures Topper\'s attention during the festivities."', 'source_id': 'chunk-89777b838d5447c7bd1ec11282c4ee89chunk-43c9bee23adfa77aa9dedd22401bba7d'}> +2024-10-30 05:10:06,840 - lightrag - INFO - _do_upsert:query: + MERGE (n:`THE PLUMP SISTER`) SET n += $properties RETURN n - :result:{'entity_type': '"GEO"', 'description': '"The Lighthouse is a solitary structure standing on a reef, symbolizing hope and guidance amidst the tumultuous sea."', 'source_id': 'chunk-91614df5cb74cbe5e109a338a82041e9'} -2024-10-29 13:34:29,778 - lightrag - INFO - _do_upsert:query: - MERGE (n:`THE SHIP`) + :result:{'entity_type': '"PERSON"', 'description': '"The Plump Sister is a character in the gathering who becomes the focus of Topper\'s playful advances during the games, contributing to the comedic aspects of the gathering.""The Plump Sister is depicted in a light-hearted and humorous context, illustrating the fun of Christmas gatherings.""The plump sister is a character involved in the games, specifically blind man\'s-buff, and captures Topper\'s attention during the festivities.""The Plump Sister is one of Scrooge\'s Niece\'s sisters, characterized by her bashfulness and her attempts to maintain decorum amidst the laughter."', 'source_id': 'chunk-773d0df1dd25c356f7b771d780583e09chunk-89777b838d5447c7bd1ec11282c4ee89chunk-43c9bee23adfa77aa9dedd22401bba7d'} +2024-10-30 05:10:07,121 - lightrag - INFO - _do_upsert:query: + MERGE (n:`DINNER`) SET n += $properties RETURN n - :result:{'entity_type': '"GEO"', 'description': '"The Ship is described as a vessel on the open sea, where the crew reflects on Christmas, showcasing camaraderie and a sense of belonging."', 'source_id': 'chunk-91614df5cb74cbe5e109a338a82041e9'} -2024-10-29 13:34:30,049 - lightrag - INFO - _do_upsert:query: - MERGE (n:`THE CHEERFUL COMPANY`) + :result:{'entity_type': '"EVENT"', 'description': '"Dinner is the festive meal that is shared among the characters, symbolizing the warmth of family and celebration that contrasts with Scrooge\'s isolated demeanor."', 'source_id': 'chunk-773d0df1dd25c356f7b771d780583e09'} +2024-10-30 05:10:07,394 - lightrag - INFO - _do_upsert:query: + MERGE (n:`MERRIMENT`) SET n += $properties RETURN n - :result:{'entity_type': '"ORGANIZATION"', 'description': '"The Cheerful Company refers to the group assembled around the fire, representing family togetherness and joy during Christmas."', 'source_id': 'chunk-91614df5cb74cbe5e109a338a82041e9'} -2024-10-29 13:34:30,326 - lightrag - INFO - _do_upsert:query: - MERGE (n:`THE SETTING SUN`) + :result:{'entity_type': '"CONCEPT"', 'description': '"Merriment embodies the joy and celebration associated with the holiday season and the gathering of family and friends in the narrative.""Merriment refers to the joyful and festive atmosphere that the characters aim to create, opposing Scrooge\'s jaded perspective on social gatherings."', 'source_id': 'chunk-773d0df1dd25c356f7b771d780583e09chunk-e7637ff18c5ded77a68cce0a87883fad'} +2024-10-30 05:10:07,670 - lightrag - INFO - _do_upsert:query: + MERGE (n:`BLIND MAN'S BUFF`) SET n += $properties RETURN n - :result:{'entity_type': '"GEO"', 'description': '"The Setting Sun is depicted as leaving a streak of fiery red, symbolizing transition and the passage of time against the desolation of the moor."', 'source_id': 'chunk-91614df5cb74cbe5e109a338a82041e9'} -2024-10-29 13:34:30,601 - lightrag - INFO - _do_upsert:query: - MERGE (n:`THE FROZEN MOOR`) + :result:{'entity_type': '"EVENT"', 'description': '"Blind Man\'s Buff is a traditional game played during the gathering, contributing to the festive atmosphere and interactions among the guests."', 'source_id': 'chunk-43c9bee23adfa77aa9dedd22401bba7d'} +2024-10-30 05:10:07,806 - lightrag - INFO - get_node:query:MATCH (n:`FORFEITS`) RETURN n:result: +2024-10-30 05:10:07,941 - lightrag - INFO - _do_upsert:query: + MERGE (n:`FORFEITS`) SET n += $properties RETURN n - :result:{'entity_type': '"GEO"', 'description': '"The Frozen Moor is a bleak and desolate landscape, representing hardship and the struggles faced by those who live there."', 'source_id': 'chunk-91614df5cb74cbe5e109a338a82041e9'} -2024-10-29 13:34:30,871 - lightrag - INFO - _do_upsert:query: - MERGE (n:`THE HUT`) + :result:{'entity_type': '"EVENT"', 'description': '"Forfeits is another game played that allows participants to engage in fun activities, emphasizing the spirit of the gathering.""Forfeits is another social game played by the characters, emphasizing the playful nature of their Christmas celebration."', 'source_id': 'chunk-43c9bee23adfa77aa9dedd22401bba7d'} +2024-10-30 05:10:08,209 - lightrag - INFO - _do_upsert:query: + MERGE (n:`THE HARP`) SET n += $properties RETURN n - :result:{'entity_type': '"GEO"', 'description': '"The Hut is a shelter for the miners that provides warmth and a gathering space for family during the winter, serving as a symbol of refuge."', 'source_id': 'chunk-91614df5cb74cbe5e109a338a82041e9'} -2024-10-29 13:34:31,142 - lightrag - INFO - _do_upsert:query: - MERGE (n:`STORM-BIRDS`) + :result:{'entity_type': '"TECHNOLOGY"', 'description': '"The Harp is a musical instrument played by Scrooge\'s niece, contributing to the evening\'s entertainment and illustrating the family\'s musical talents."', 'source_id': 'chunk-43c9bee23adfa77aa9dedd22401bba7d'} +2024-10-30 05:10:08,340 - lightrag - INFO - get_node:query:MATCH (n:`CHRISTMAS HOLIDAYS`) RETURN n:result: +2024-10-30 05:10:08,474 - lightrag - INFO - _do_upsert:query: + MERGE (n:`CHRISTMAS HOLIDAYS`) SET n += $properties RETURN n - :result:{'entity_type': '"GEO"', 'description': '"Storm-Birds are depicted as creatures that rise and fall with the waves, symbolizing the harshness of the environment and the connection to the sea."', 'source_id': 'chunk-91614df5cb74cbe5e109a338a82041e9'} -2024-10-29 13:34:31,420 - lightrag - INFO - _do_upsert:query: - MERGE (n:`THE HEARTH`) + :result:{'entity_type': '"EVENT"', 'description': '"Christmas Holidays signify a time for celebration, reflection, and reconciliation, playing a critical role in Scrooge\'s transformation.""The Christmas Holidays serve as a crucial backdrop for the narrative, representing themes of generosity, family, and redemption."', 'source_id': 'chunk-e7637ff18c5ded77a68cce0a87883fad'} +2024-10-30 05:10:08,606 - lightrag - INFO - get_node:query:MATCH (n:`IGNORANCE`) RETURN n:result:"Ignorance is personified as a boy that symbolizes the dangers of ignoring social issues and the consequences of a lack of awareness."', 'source_id': 'chunk-02baee20cc9463dbe08170a8e1043e32chunk-e7637ff18c5ded77a68cce0a87883fad'}> +2024-10-30 05:10:08,744 - lightrag - INFO - _do_upsert:query: + MERGE (n:`IGNORANCE`) SET n += $properties RETURN n - :result:{'entity_type': '"GEO"', 'description': '"The Hearth is the gathering place around which the old man and his family sing, signifying warmth, comfort, and familial bonds during the festive season."', 'source_id': 'chunk-91614df5cb74cbe5e109a338a82041e9'} -2024-10-29 13:34:31,697 - lightrag - INFO - _do_upsert:query: - MERGE (n:`CHRISTMAS SONG`) + :result:{'entity_type': '"CONCEPT"', 'description': '"Ignorance is personified as a boy shown to Scrooge by the Spirit, representing a societal issue that appeals for attention and change.""Ignorance is personified as a boy that symbolizes the dangers of ignoring social issues and the consequences of a lack of awareness.""Ignorance personifies a societal failing, depicted as a child, warning of the dangers of neglect and moral responsibility.""Ignorance refers to one of the two children presented by the Spirit, symbolizing societal neglect and the consequences of lack of awareness."', 'source_id': 'chunk-e7637ff18c5ded77a68cce0a87883fadchunk-02baee20cc9463dbe08170a8e1043e32'} +2024-10-30 05:10:08,878 - lightrag - INFO - get_node:query:MATCH (n:`WANT`) RETURN n:result: +2024-10-30 05:10:09,015 - lightrag - INFO - _do_upsert:query: + MERGE (n:`WANT`) SET n += $properties RETURN n - :result:{'entity_type': '"EVENT"', 'description': '"The Christmas Song is the traditional tune sung by the old man and his family, highlighting themes of nostalgia and familial joy during the holiday season."', 'source_id': 'chunk-91614df5cb74cbe5e109a338a82041e9'} -2024-10-29 13:34:31,981 - lightrag - INFO - _do_upsert:query: - MERGE (n:`SCROOGE'S NIECE`) + :result:{'entity_type': '"CONCEPT"', 'description': '"Want is depicted as a girl, representing the consequences of poverty and desire in society, warning against neglecting these issues.""Want is represented as the second child shown by the Spirit, symbolizing the dire social conditions and needs of the impoverished.""Want represents another societal failing, portrayed as a girl, symbolizing deprivation and yearning for basic needs."', 'source_id': 'chunk-e7637ff18c5ded77a68cce0a87883fadchunk-02baee20cc9463dbe08170a8e1043e32'} +2024-10-30 05:10:09,291 - lightrag - INFO - _do_upsert:query: + MERGE (n:`ALMS HOUSE`) SET n += $properties RETURN n - :result:{'entity_type': '"PERSON"', 'description': '"Scrooge\'s Niece is depicted as a beautiful and lively character who expresses strong opinions about her uncle Scrooge.""Scrooge\'s niece is depicted as a joyful participant in the evening\'s festivities, engaging in games and music."', 'source_id': 'chunk-773d0df1dd25c356f7b771d780583e09chunk-43c9bee23adfa77aa9dedd22401bba7d'} -2024-10-29 13:34:32,252 - lightrag - INFO - _do_upsert:query: - MERGE (n:`TOPPER`) + :result:{'entity_type': '"ORGANIZATION"', 'description': '"Alms House refers to a charitable institution visited by the Spirit, where the poor receive support and care."', 'source_id': 'chunk-e7637ff18c5ded77a68cce0a87883fad'} +2024-10-30 05:10:09,423 - lightrag - INFO - get_node:query:MATCH (n:`HOSPITAL`) RETURN n:result: +2024-10-30 05:10:09,560 - lightrag - INFO - _do_upsert:query: + MERGE (n:`HOSPITAL`) SET n += $properties RETURN n - :result:{'entity_type': '"PERSON"', 'description': '"Topper is a character known for his lively and mischievous behavior during the games at the festive gathering.""Topper is a character who participates in the dinner and seems to have an interest in one of Scrooge\'s niece\'s sisters.""Topper is a guest at the Christmas party, representing the jovial and festive spirit of the gathering with Fred and Scrooge."', 'source_id': 'chunk-94bea83e7153fc2064aa382b494936a1chunk-773d0df1dd25c356f7b771d780583e09chunk-43c9bee23adfa77aa9dedd22401bba7d'} -2024-10-29 13:34:32,523 - lightrag - INFO - _do_upsert:query: - MERGE (n:`SCROOGE'S NEPHEW'S FRIENDS`) + :result:{'entity_type': '"ORGANIZATION"', 'description': '"Hospital signifies a place of healing and care, visited by the Spirit in the story.""The Hospital represents a location of care and compassion, highlighting the human condition and the need for kindness."', 'source_id': 'chunk-e7637ff18c5ded77a68cce0a87883fad'} +2024-10-30 05:10:09,694 - lightrag - INFO - get_node:query:MATCH (n:`GAOL`) RETURN n:result: +2024-10-30 05:10:09,830 - lightrag - INFO - _do_upsert:query: + MERGE (n:`GAOL`) SET n += $properties RETURN n - :result:{'entity_type': '"ORGANIZATION"', 'description': '"Scrooge\'s Nephew\'s Friends are a group of individuals gathered around the dinner table, characterized by their shared laughter and merriment in contrast to Scrooge."', 'source_id': 'chunk-773d0df1dd25c356f7b771d780583e09'} -2024-10-29 13:34:32,791 - lightrag - INFO - _do_upsert:query: - MERGE (n:`SCROOGE'S NIECE'S SISTERS`) + :result:{'entity_type': '"ORGANIZATION"', 'description': '"Gaol refers to a prison, illustrating the theme of social justice and the conditions of the impoverished in society.""The Gaol symbolizes imprisonment and despair, representing the societal failings and the need for mercy and understanding."', 'source_id': 'chunk-e7637ff18c5ded77a68cce0a87883fad'} +2024-10-30 05:10:10,104 - lightrag - INFO - _do_upsert:query: + MERGE (n:`TWELFTH NIGHT`) SET n += $properties RETURN n - :result:{'entity_type': '"ORGANIZATION"', 'description': '"Scrooge\'s Niece\'s Sisters are part of the family gathering, contributing to the lively atmosphere and expressing opinions about Scrooge."', 'source_id': 'chunk-773d0df1dd25c356f7b771d780583e09'} -2024-10-29 13:34:33,057 - lightrag - INFO - _do_upsert:query: - MERGE (n:`THE DINNER`) + :result:{'entity_type': '"EVENT"', 'description': '"Twelfth Night is a festive occasion celebrated in the story, showcasing family gatherings and merriment during the holiday season."', 'source_id': 'chunk-e7637ff18c5ded77a68cce0a87883fad'} +2024-10-30 05:10:10,238 - lightrag - INFO - get_node:query:MATCH (n:`MULLED WINE`) RETURN n:result: +2024-10-30 05:10:10,375 - lightrag - INFO - _do_upsert:query: + MERGE (n:`MULLED WINE`) SET n += $properties RETURN n - :result:{'entity_type': '"EVENT"', 'description': '"The Dinner is a social event characterized by laughter, music, and discussions about Scrooge, portraying a festive Christmas gathering."', 'source_id': 'chunk-773d0df1dd25c356f7b771d780583e09'} -2024-10-29 13:34:33,329 - lightrag - INFO - _do_upsert:query: - MERGE (n:`THE FIRE`) + :result:{'entity_type': '"EVENT"', 'description': '"Mulled Wine is a festive drink mentioned in the context of celebration during the Christmas gathering.""Mulled Wine symbolizes warmth and cheer, often associated with celebrations during the holiday season, particularly in the context of family gatherings."', 'source_id': 'chunk-e7637ff18c5ded77a68cce0a87883fad'} +2024-10-30 05:10:10,646 - lightrag - INFO - _do_upsert:query: + MERGE (n:`PHANTOM`) SET n += $properties RETURN n - :result:{'entity_type': '"CONCEPT"', 'description': '"The Fire represents warmth and comfort during the family gathering, enhancing the atmosphere of camaraderie."', 'source_id': 'chunk-773d0df1dd25c356f7b771d780583e09'} -2024-10-29 13:34:33,602 - lightrag - INFO - _do_upsert:query: - MERGE (n:`THE BOTTLE`) + :result:{'entity_type': '"ORGANIZATION"', 'description': '"The Phantom is a representation of death and the unknown future, appearing to Scrooge with a mysterious and intimidating presence."', 'source_id': 'chunk-02baee20cc9463dbe08170a8e1043e32'} +2024-10-30 05:10:10,914 - lightrag - INFO - _do_upsert:query: + MERGE (n:`BUSINESS MEN`) SET n += $properties RETURN n - :result:{'entity_type': '"CONCEPT"', 'description': '"The Bottle symbolizes celebration and the shared merriment among the characters during their Christmas gathering."', 'source_id': 'chunk-773d0df1dd25c356f7b771d780583e09'} -2024-10-29 13:34:33,870 - lightrag - INFO - _do_upsert:query: - MERGE (n:`MUSIC`) + :result:{'entity_type': '"ORGANIZATION"', 'description': '"The business men are a group discussing Scrooge\'s death, reflecting society\'s indifference and the consequential nature of wealth."', 'source_id': 'chunk-02baee20cc9463dbe08170a8e1043e32'} +2024-10-30 05:10:11,045 - lightrag - INFO - get_node:query:MATCH (n:`THE DEAD MAN`) RETURN n:result: +2024-10-30 05:10:11,188 - lightrag - INFO - _do_upsert:query: + MERGE (n:`THE DEAD MAN`) SET n += $properties RETURN n - :result:{'entity_type': '"EVENT"', 'description': '"Music is an activity enjoyed by the family, contributing to the festive environment of their gathering."', 'source_id': 'chunk-773d0df1dd25c356f7b771d780583e09'} -2024-10-29 13:34:34,143 - lightrag - INFO - _do_upsert:query: - MERGE (n:`LAUGHTER`) + :result:{'entity_type': '"PERSON"', 'description': '"The Dead Man is mentioned as the previous owner of the items being appraised, embodying the consequences of greed and isolation.""The Dead man is the subject of discussion among the business men, representing Scrooge himself and the consequences of his life."', 'source_id': 'chunk-02baee20cc9463dbe08170a8e1043e32chunk-60fc063c79fc0d4acc91a57e79de04dc'} +2024-10-30 05:10:11,321 - lightrag - INFO - get_node:query:MATCH (n:`JACOB`) RETURN n:result: +2024-10-30 05:10:11,454 - lightrag - INFO - _do_upsert:query: + MERGE (n:`JACOB`) SET n += $properties RETURN n - :result:{'entity_type': '"CONCEPT"', 'description': '"Laughter symbolizes joy and the contagious nature of good humor among the characters, especially in the context of Christmas."', 'source_id': 'chunk-773d0df1dd25c356f7b771d780583e09'} -2024-10-29 13:34:34,422 - lightrag - INFO - _do_upsert:query: - MERGE (n:`BLIND MAN'S-BUFF`) + :result:{'entity_type': '"PERSON"', 'description': '"Jacob is Scrooge\'s old partner whose death is acknowledged, influencing Scrooge\'s reflections on his own life and future.""Jacob is referenced as Scrooge\'s old partner, significant for his recent death and the impact of this event on Scrooge\'s reflections."', 'source_id': 'chunk-f1a4fbcf1ed86864b9bfd5e8dba4c683'} +2024-10-30 05:10:11,723 - lightrag - INFO - _do_upsert:query: + MERGE (n:`THE TOWN`) SET n += $properties RETURN n - :result:{'entity_type': '"EVENT"', 'description': '"Blind Man\'s-Buff is a game played during the gathering, showcasing the playful and carefree nature of the participants."', 'source_id': 'chunk-43c9bee23adfa77aa9dedd22401bba7d'} -2024-10-29 13:34:34,698 - lightrag - INFO - _do_upsert:query: - MERGE (n:`FORFEITS`) + :result:{'entity_type': '"GEO"', 'description': '"The Town is depicted as an obscure and morally degraded area contrasting with the lively scenes, indicating deep societal issues."', 'source_id': 'chunk-f1a4fbcf1ed86864b9bfd5e8dba4c683'} +2024-10-30 05:10:11,861 - lightrag - INFO - get_node:query:MATCH (n:`THE LOW-BROWED SHOP`) RETURN n:result: +2024-10-30 05:10:12,004 - lightrag - INFO - _do_upsert:query: + MERGE (n:`THE LOW-BROWED SHOP`) SET n += $properties RETURN n - :result:{'entity_type': '"EVENT"', 'description': '"Forfeits is another game played that allows participants to engage in fun activities, emphasizing the spirit of the gathering."', 'source_id': 'chunk-43c9bee23adfa77aa9dedd22401bba7d'} -2024-10-29 13:34:34,977 - lightrag - INFO - _do_upsert:query: - MERGE (n:`GAMES`) + :result:{'entity_type': '"ORGANIZATION"', 'description': '"The Low-Browed Shop is a grim establishment in the town dealing in various unwanted goods, representing decay and desperation.""The Low-Browed Shop is a setting that symbolizes neglect and degradation, filled with discarded items and representing societal decay."', 'source_id': 'chunk-f1a4fbcf1ed86864b9bfd5e8dba4c683'} +2024-10-30 05:10:12,271 - lightrag - INFO - _do_upsert:query: + MERGE (n:`RED-FACED GENTLEMAN`) SET n += $properties RETURN n - :result:{'entity_type': '"EVENT"', 'description': '"The Games represent various activities played during the gathering, reinforcing themes of merriment and family unity."', 'source_id': 'chunk-43c9bee23adfa77aa9dedd22401bba7d'} -2024-10-29 13:34:35,249 - lightrag - INFO - _do_upsert:query: - MERGE (n:`IGNORANCE`) + :result:{'entity_type': '"PERSON"', 'description': '"The Red-faced Gentleman is a character who humorously discusses the potential nature of a cheap funeral at the gathering."', 'source_id': 'chunk-f1a4fbcf1ed86864b9bfd5e8dba4c683'} +2024-10-30 05:10:12,541 - lightrag - INFO - _do_upsert:query: + MERGE (n:`GENTLEMAN WITH THE EXCRESCENCE`) SET n += $properties RETURN n - :result:{'entity_type': '"CONCEPT"', 'description': '"Ignorance is personified as a boy shown to Scrooge by the Spirit, representing a societal issue that appeals for attention and change.""Ignorance is personified as a boy that symbolizes the dangers of ignoring social issues and the consequences of a lack of awareness."', 'source_id': 'chunk-02baee20cc9463dbe08170a8e1043e32chunk-e7637ff18c5ded77a68cce0a87883fad'} -2024-10-29 13:34:35,519 - lightrag - INFO - _do_upsert:query: - MERGE (n:`HUMANITY`) + :result:{'entity_type': '"PERSON"', 'description': '"The Gentleman with the Excrescence is characterized by a physical trait and provides humorous remarks about attending a funeral."', 'source_id': 'chunk-f1a4fbcf1ed86864b9bfd5e8dba4c683'} +2024-10-30 05:10:12,673 - lightrag - INFO - get_node:query:MATCH (n:`OLD SCRATCH`) RETURN n:result: +2024-10-30 05:10:12,805 - lightrag - INFO - _do_upsert:query: + MERGE (n:`OLD SCRATCH`) SET n += $properties RETURN n - :result:{'entity_type': '"CONCEPT"', 'description': '"Humanity’s relationship with its most vulnerable members is central to the lessons presented to Scrooge through the Spirit\'s journey."', 'source_id': 'chunk-e7637ff18c5ded77a68cce0a87883fad'} -2024-10-29 13:34:35,790 - lightrag - INFO - _do_upsert:query: - MERGE (n:`CHRISTMAS HOLIDAYS`) + :result:{'entity_type': '"CONCEPT"', 'description': '"Old Scratch is a colloquial term used in reference to the devil, indicating a grim context in discussions about death.""Old Scratch is mentioned as a figure related to the conversation, symbolizing mischief and humor."', 'source_id': 'chunk-89777b838d5447c7bd1ec11282c4ee89chunk-f1a4fbcf1ed86864b9bfd5e8dba4c683'} +2024-10-30 05:10:13,073 - lightrag - INFO - _do_upsert:query: + MERGE (n:`THE MEETING`) SET n += $properties RETURN n - :result:{'entity_type': '"EVENT"', 'description': '"The Christmas Holidays serve as a crucial backdrop for the narrative, representing themes of generosity, family, and redemption."', 'source_id': 'chunk-e7637ff18c5ded77a68cce0a87883fad'} -2024-10-29 13:34:36,054 - lightrag - INFO - _do_upsert:query: - MERGE (n:`TWELFTH-NIGHT PARTY`) + :result:{'entity_type': '"EVENT"', 'description': '"The Meeting is characterized by light-hearted banter among characters regarding the funeral and their connections to the deceased."', 'source_id': 'chunk-f1a4fbcf1ed86864b9bfd5e8dba4c683'} +2024-10-30 05:10:13,206 - lightrag - INFO - get_node:query:MATCH (n:`THE PHANTOM`) RETURN n:result: +2024-10-30 05:10:13,341 - lightrag - INFO - _do_upsert:query: + MERGE (n:`THE PHANTOM`) SET n += $properties RETURN n - :result:{'entity_type': '"EVENT"', 'description': '"The Twelfth-Night Party is mentioned as a festive gathering that Scrooge and the Spirit visit, symbolizing celebration and community."', 'source_id': 'chunk-e7637ff18c5ded77a68cce0a87883fad'} -2024-10-29 13:34:36,330 - lightrag - INFO - _do_upsert:query: - MERGE (n:`ALMSHOUSE`) + :result:{'entity_type': '"ORGANIZATION"', 'description': '"The Phantom represents a ghostly presence guiding Scrooge through reflections on his life and future decisions.""The Phantom represents the supernatural element in Scrooge\'s journey of self-reflection and moral awakening."', 'source_id': 'chunk-f1a4fbcf1ed86864b9bfd5e8dba4c683'} +2024-10-30 05:10:13,610 - lightrag - INFO - _do_upsert:query: + MERGE (n:`THE QUARTER`) SET n += $properties RETURN n - :result:{'entity_type': '"LOCATION"', 'description': '"The Almshouse is a place symbolizing human suffering and neglect, where the Spirit shows Scrooge the harsh realities faced by the needy."', 'source_id': 'chunk-e7637ff18c5ded77a68cce0a87883fad'} -2024-10-29 13:34:36,607 - lightrag - INFO - _do_upsert:query: - MERGE (n:`HOSPITAL`) + :result:{'entity_type': '"GEO"', 'description': '"The Quarter is a depiction of an impoverished and crime-ridden area of the town, emphasizing societal neglect."', 'source_id': 'chunk-f1a4fbcf1ed86864b9bfd5e8dba4c683'} +2024-10-30 05:10:13,882 - lightrag - INFO - _do_upsert:query: + MERGE (n:`THE COAL SHOP`) SET n += $properties RETURN n - :result:{'entity_type': '"LOCATION"', 'description': '"The Hospital represents a location of care and compassion, highlighting the human condition and the need for kindness."', 'source_id': 'chunk-e7637ff18c5ded77a68cce0a87883fad'} -2024-10-29 13:34:36,878 - lightrag - INFO - _do_upsert:query: - MERGE (n:`GAOL`) + :result:{'entity_type': '"ORGANIZATION"', 'description': '"The Coal Shop is a den of lowly transactions that signifies the harsh living conditions experienced by the characters in the quarter."', 'source_id': 'chunk-f1a4fbcf1ed86864b9bfd5e8dba4c683'} +2024-10-30 05:10:14,153 - lightrag - INFO - _do_upsert:query: + MERGE (n:`MISCELLANEOUS TATTERS`) SET n += $properties RETURN n - :result:{'entity_type': '"LOCATION"', 'description': '"The Gaol symbolizes imprisonment and despair, representing the societal failings and the need for mercy and understanding."', 'source_id': 'chunk-e7637ff18c5ded77a68cce0a87883fad'} -2024-10-29 13:34:37,160 - lightrag - INFO - _do_upsert:query: - MERGE (n:`MAN`) + :result:{'entity_type': '"CONCEPT"', 'description': '"Miscellaneous Tatters symbolize the shabby and worn conditions surrounding the characters in the Low-Browed Shop."', 'source_id': 'chunk-f1a4fbcf1ed86864b9bfd5e8dba4c683'} +2024-10-30 05:10:14,414 - lightrag - INFO - _do_upsert:query: + MERGE (n:`THE CHARCOAL STOVE`) SET n += $properties RETURN n - :result:{'entity_type': '"CONCEPT"', 'description': '"Man reflects the collective responsibility of humanity towards its most vulnerable, portrayed through the metaphor of Ignorance and Want."', 'source_id': 'chunk-e7637ff18c5ded77a68cce0a87883fad'} -2024-10-29 13:34:37,437 - lightrag - INFO - _do_upsert:query: - MERGE (n:`MISERY'S REFUGE`) + :result:{'entity_type': '"TECHNOLOGY"', 'description': '"The Charcoal Stove is a humble source of warmth within the Low-Browed Shop, indicative of the bleak environment."', 'source_id': 'chunk-f1a4fbcf1ed86864b9bfd5e8dba4c683'} +2024-10-30 05:10:14,554 - lightrag - INFO - get_node:query:MATCH (n:`OLD JOE`) RETURN n:result: +2024-10-30 05:10:14,693 - lightrag - INFO - _do_upsert:query: + MERGE (n:`OLD JOE`) SET n += $properties RETURN n - :result:{'entity_type': '"CONCEPT"', 'description': '"Misery\'s Refuge represents the places where society fails to provide support and care for those in need, emphasizing social responsibility."', 'source_id': 'chunk-e7637ff18c5ded77a68cce0a87883fad'} -2024-10-29 13:34:37,704 - lightrag - INFO - _do_upsert:query: - MERGE (n:`MULLED WINE`) + :result:{'entity_type': '"PERSON"', 'description': '"Old Joe is a grey-haired man who runs a shop where people come to sell their belongings after a death, embodying a rough, pragmatic character.""Old Joe is a grey-haired man, nearly seventy years old, who runs a shop and conducts business in a rather nonchalant manner, showcasing a certain charm amidst his questionable dealings."', 'source_id': 'chunk-60fc063c79fc0d4acc91a57e79de04dc'} +2024-10-30 05:10:14,845 - lightrag - INFO - get_node:query:MATCH (n:`MRS. DILBER`) RETURN n:result: +2024-10-30 05:10:14,982 - lightrag - INFO - _do_upsert:query: + MERGE (n:`MRS. DILBER`) SET n += $properties RETURN n - :result:{'entity_type': '"CONCEPT"', 'description': '"Mulled Wine symbolizes warmth and cheer, often associated with celebrations during the holiday season, particularly in the context of family gatherings."', 'source_id': 'chunk-e7637ff18c5ded77a68cce0a87883fad'} -2024-10-29 13:34:37,976 - lightrag - INFO - _do_upsert:query: - MERGE (n:`HEALTH`) + :result:{'entity_type': '"PERSON"', 'description': '"Mrs. Dilber is a laundress who is involved in the discussion about the belongings they are handling, exhibiting a pragmatic attitude towards the situation.""Mrs. Dilber is a laundress who participates in the gathering, commenting on the morality of their actions with a laugh."', 'source_id': 'chunk-60fc063c79fc0d4acc91a57e79de04dc'} +2024-10-30 05:10:15,263 - lightrag - INFO - _do_upsert:query: + MERGE (n:`THE MAN IN FADED BLACK`) SET n += $properties RETURN n - :result:{'entity_type': '"CONCEPT"', 'description': '"Health is a theme represented through the need for care and the role of the community in supporting those who are suffering."', 'source_id': 'chunk-e7637ff18c5ded77a68cce0a87883fad'} -2024-10-29 13:34:38,243 - lightrag - INFO - _do_upsert:query: - MERGE (n:`WANT`) + :result:{'entity_type': '"PERSON"', 'description': '"The Man in Faded Black is a character who, echoing the sentiments of the others, reveals his modest haul of stolen goods during the gathering."', 'source_id': 'chunk-60fc063c79fc0d4acc91a57e79de04dc'} +2024-10-30 05:10:15,403 - lightrag - INFO - get_node:query:MATCH (n:`THE SHOP`) RETURN n:result: +2024-10-30 05:10:15,544 - lightrag - INFO - _do_upsert:query: + MERGE (n:`THE SHOP`) SET n += $properties RETURN n - :result:{'entity_type': '"CONCEPT"', 'description': '"Want is depicted as a girl, representing the consequences of poverty and desire in society, warning against neglecting these issues."', 'source_id': 'chunk-02baee20cc9463dbe08170a8e1043e32'} -2024-10-29 13:34:38,616 - lightrag - INFO - _do_upsert:query: - MERGE (n:`THE FUTURE`) + :result:{'entity_type': '"ORGANIZATION"', 'description': '"The Shop is Old Joe\'s place of business and serves as the meeting location for the characters, where they evaluate and exchange stolen items.""The Shop is a setting where characters gather to appraise items they have taken from the deceased, reflecting their attitudes towards death and morality."', 'source_id': 'chunk-60fc063c79fc0d4acc91a57e79de04dc'} +2024-10-30 05:10:15,679 - lightrag - INFO - get_node:query:MATCH (n:`THE BUNDLE`) RETURN n:result: +2024-10-30 05:10:15,849 - lightrag - INFO - _do_upsert:query: + MERGE (n:`THE BUNDLE`) SET n += $properties RETURN n - :result:{'entity_type': '"CONCEPT"', 'description': '"The Future is represented as a realm of possibility and consequence that concerns Scrooge\'s fate and choices.""The Future represents the potential outcomes of Scrooge’s life choices, depicted through the visions shown by the Spirits."', 'source_id': 'chunk-91572b3cd42786ba4cb2f180ca25cbf4chunk-02baee20cc9463dbe08170a8e1043e32'} -2024-10-29 13:34:38,894 - lightrag - INFO - _do_upsert:query: - MERGE (n:`THE BUSINESSMEN`) + :result:{'entity_type': '"EVENT"', 'description': '"The Bundle contains the belongings of the deceased man, which serve as a focal point for discussion among the characters regarding value and morality.""The Bundle refers to the collection of stolen items brought by the characters to Old Joe\'s shop for appraisal, symbolizing their actions post-death.""The Bundle refers to the collection of stolen items that the characters present to Old Joe for appraisal."', 'source_id': 'chunk-e1f29eeadc1d8ab46dc8a0bbd3c56b64chunk-60fc063c79fc0d4acc91a57e79de04dc'} +2024-10-30 05:10:16,122 - lightrag - INFO - _do_upsert:query: + MERGE (n:`THE DEATH`) SET n += $properties RETURN n - :result:{'entity_type': '"ORGANIZATION"', 'description': '"The Businessmen are a group of individuals in the City who display a lack of concern about Scrooge\'s death, reflecting societal apathy toward individual loss."', 'source_id': 'chunk-02baee20cc9463dbe08170a8e1043e32'} -2024-10-29 13:34:39,162 - lightrag - INFO - _do_upsert:query: - MERGE (n:`DEATH`) + :result:{'entity_type': '"EVENT"', 'description': '"The Death signifies the passing of a man whose belongings are being appraised, influencing the motivations and actions of the characters."', 'source_id': 'chunk-60fc063c79fc0d4acc91a57e79de04dc'} +2024-10-30 05:10:16,400 - lightrag - INFO - _do_upsert:query: + MERGE (n:`THE STOLEN GOODS`) SET n += $properties RETURN n - :result:{'entity_type': '"EVENT"', 'description': '"Death in the story is a significant event that triggers discussion among the Businessmen and prompts Scrooge\'s reflections.""Death is described as a powerful force in the narrative, represented through the imagery of a cold, rigid presence and the contemplation of mortality.""Death refers to the passing of a character that triggers a range of emotions and reflections among the living, influencing their lives and relationships."', 'source_id': 'chunk-e1f29eeadc1d8ab46dc8a0bbd3c56b64chunk-83ac129dc9b56f84c46760d153d68e93chunk-02baee20cc9463dbe08170a8e1043e32'} -2024-10-29 13:34:39,434 - lightrag - INFO - _do_upsert:query: - MERGE (n:`JACOB`) + :result:{'entity_type': '"EVENT"', 'description': '"The Stolen Goods are the items that the characters bring to Old Joe for evaluation, highlighting their moral stance and the circumstances surrounding the death."', 'source_id': 'chunk-60fc063c79fc0d4acc91a57e79de04dc'} +2024-10-30 05:10:16,668 - lightrag - INFO - _do_upsert:query: + MERGE (n:`THE ACCUSATION`) SET n += $properties RETURN n - :result:{'entity_type': '"PERSON"', 'description': '"Jacob is referenced as Scrooge\'s old partner, significant for his recent death and the impact of this event on Scrooge\'s reflections."', 'source_id': 'chunk-f1a4fbcf1ed86864b9bfd5e8dba4c683'} -2024-10-29 13:34:39,707 - lightrag - INFO - _do_upsert:query: - MERGE (n:`THE PHANTOM`) + :result:{'entity_type': '"EVENT"', 'description': '"The Accusation refers to the implied judgement of the deceased\'s character that the characters discuss while evaluating their actions."', 'source_id': 'chunk-60fc063c79fc0d4acc91a57e79de04dc'} +2024-10-30 05:10:16,944 - lightrag - INFO - _do_upsert:query: + MERGE (n:`THE PARLOUR`) SET n += $properties RETURN n - :result:{'entity_type': '"ORGANIZATION"', 'description': '"The Phantom represents the supernatural element in Scrooge\'s journey of self-reflection and moral awakening."', 'source_id': 'chunk-f1a4fbcf1ed86864b9bfd5e8dba4c683'} -2024-10-29 13:34:39,976 - lightrag - INFO - _do_upsert:query: - MERGE (n:`BUSINESSMEN`) + :result:{'entity_type': '"LOCATION"', 'description': '"The Parlour is the private space behind the shop curtain where the characters engage in conversation and appraisal, symbolizing a shift from public to private."', 'source_id': 'chunk-60fc063c79fc0d4acc91a57e79de04dc'} +2024-10-30 05:10:17,214 - lightrag - INFO - _do_upsert:query: + MERGE (n:`THE RAGS`) SET n += $properties RETURN n - :result:{'entity_type': '"ORGANIZATION"', 'description': '"The businessmen are characterized as wealthy and important individuals in Scrooge\'s past, highlighting themes of social status and superficiality in interactions."', 'source_id': 'chunk-f1a4fbcf1ed86864b9bfd5e8dba4c683'} -2024-10-29 13:34:40,249 - lightrag - INFO - _do_upsert:query: - MERGE (n:`THE OBSCURE PART OF TOWN`) + :result:{'entity_type': '"CONCEPT"', 'description': '"The Rags serve as a metaphor for the characters\' grim circumstances and the societal implications of their gathering, accentuating the theme of decay and neglect."', 'source_id': 'chunk-60fc063c79fc0d4acc91a57e79de04dc'} +2024-10-30 05:10:17,481 - lightrag - INFO - _do_upsert:query: + MERGE (n:`THE COLD AIR`) SET n += $properties RETURN n - :result:{'entity_type': '"GEO"', 'description': '"The Obscure Part of Town is a location described as having a bad reputation, symbolizing the darker aspects of society that Scrooge must confront."', 'source_id': 'chunk-f1a4fbcf1ed86864b9bfd5e8dba4c683'} -2024-10-29 13:34:40,518 - lightrag - INFO - _do_upsert:query: - MERGE (n:`THE LOW-BROWED SHOP`) + :result:{'entity_type': '"CONCEPT"', 'description': '"The Cold Air symbolizes the harsh realities surrounding the characters and their actions, emphasizing the atmosphere of deprivation."', 'source_id': 'chunk-60fc063c79fc0d4acc91a57e79de04dc'} +2024-10-30 05:10:17,749 - lightrag - INFO - _do_upsert:query: + MERGE (n:`JUDGMENT`) SET n += $properties RETURN n - :result:{'entity_type': '"ORGANIZATION"', 'description': '"The Low-Browed Shop is a setting that symbolizes neglect and degradation, filled with discarded items and representing societal decay."', 'source_id': 'chunk-f1a4fbcf1ed86864b9bfd5e8dba4c683'} -2024-10-29 13:34:40,796 - lightrag - INFO - _do_upsert:query: - MERGE (n:`GENTLEMAN WITH EXCRESCENCE`) + :result:{'entity_type': '"CONCEPT"', 'description': '"Judgment here refers to the characters\' reflections on morality regarding their actions after the death, questioning societal norms and individual ethics."', 'source_id': 'chunk-60fc063c79fc0d4acc91a57e79de04dc'} +2024-10-30 05:10:18,019 - lightrag - INFO - _do_upsert:query: + MERGE (n:`THE LAUGHTER`) SET n += $properties RETURN n - :result:{'entity_type': '"PERSON"', 'description': '"The Gentleman with Excrescence is characterized by a distinctive physical feature and expresses opinions about a funeral with a humorous outlook."', 'source_id': 'chunk-f1a4fbcf1ed86864b9bfd5e8dba4c683'} -2024-10-29 13:34:41,058 - lightrag - INFO - _do_upsert:query: - MERGE (n:`LARGE CHIN MAN`) + :result:{'entity_type': '"EVENT"', 'description': '"The Laughter represents a shared moment among the characters that highlights their camaraderie in the struggle against their grim realities."', 'source_id': 'chunk-60fc063c79fc0d4acc91a57e79de04dc'} +2024-10-30 05:10:18,289 - lightrag - INFO - _do_upsert:query: + MERGE (n:`THE DECEASED MAN`) SET n += $properties RETURN n - :result:{'entity_type': '"PERSON"', 'description': '"The Large Chin Man is a character who displays disinterest and engages in conversation about the deceased, revealing a lack of genuine concern."', 'source_id': 'chunk-f1a4fbcf1ed86864b9bfd5e8dba4c683'} -2024-10-29 13:34:41,333 - lightrag - INFO - _do_upsert:query: - MERGE (n:`COLD WEATHER`) + :result:{'entity_type': '"PERSON"', 'description': '"The Deceased Man is a character whose belongings are being discussed and whose death prompts reactions of horror and contemplation from Scrooge."', 'source_id': 'chunk-e1f29eeadc1d8ab46dc8a0bbd3c56b64'} +2024-10-30 05:10:18,423 - lightrag - INFO - get_node:query:MATCH (n:`DEATH`) RETURN n:result:"Death is described as a powerful force in the narrative, represented through the imagery of a cold, rigid presence and the contemplation of mortality.""Death refers to the passing of a character that triggers a range of emotions and reflections among the living, influencing their lives and relationships."', 'source_id': 'chunk-e1f29eeadc1d8ab46dc8a0bbd3c56b64chunk-83ac129dc9b56f84c46760d153d68e93chunk-02baee20cc9463dbe08170a8e1043e32'}> +2024-10-30 05:10:18,562 - lightrag - INFO - _do_upsert:query: + MERGE (n:`DEATH`) SET n += $properties RETURN n - :result:{'entity_type': '"EVENT"', 'description': '"Cold Weather is noted in the conversation between the businessmen, serving as a backdrop to their trivial interactions."', 'source_id': 'chunk-f1a4fbcf1ed86864b9bfd5e8dba4c683'} -2024-10-29 13:34:41,604 - lightrag - INFO - _do_upsert:query: - MERGE (n:`THE PARTY`) + :result:{'entity_type': '"CONCEPT"', 'description': '"Death in the story is a significant event that triggers discussion among the Businessmen and prompts Scrooge\'s reflections.""Death is described as a powerful force in the narrative, represented through the imagery of a cold, rigid presence and the contemplation of mortality.""Death refers to the passing of a character that triggers a range of emotions and reflections among the living, influencing their lives and relationships.""Death is depicted as a cold, inevitable force, prompting reflections on the value of life and the consequences of avarice."', 'source_id': 'chunk-e1f29eeadc1d8ab46dc8a0bbd3c56b64chunk-83ac129dc9b56f84c46760d153d68e93chunk-02baee20cc9463dbe08170a8e1043e32'} +2024-10-30 05:10:18,694 - lightrag - INFO - get_node:query:MATCH (n:`THE BED`) RETURN n:result: +2024-10-30 05:10:18,830 - lightrag - INFO - _do_upsert:query: + MERGE (n:`THE BED`) SET n += $properties RETURN n - :result:{'entity_type': '"EVENT"', 'description': '"The Party is a festive gathering that celebrates Christmas, filled with games and joyful unity among friends and family.""The Party refers to the potential gathering for the funeral, which the characters consider with amusement rather than sincerity."', 'source_id': 'chunk-94bea83e7153fc2064aa382b494936a1chunk-f1a4fbcf1ed86864b9bfd5e8dba4c683'} -2024-10-29 13:34:41,884 - lightrag - INFO - _do_upsert:query: - MERGE (n:`RICH MEN`) + :result:{'entity_type': '"EVENT"', 'description': '"The Bed represents a central object in the scene, symbolizing the final resting place of The Deceased and contributing to the themes of mortality and neglect.""The Bed represents a significant scene where the deceased man\'s body is laid, evoking deep emotions and realizations about life and morality."', 'source_id': 'chunk-e1f29eeadc1d8ab46dc8a0bbd3c56b64'} +2024-10-30 05:10:18,964 - lightrag - INFO - get_node:query:MATCH (n:`THE BLANKETS`) RETURN n:result: +2024-10-30 05:10:19,102 - lightrag - INFO - _do_upsert:query: + MERGE (n:`THE BLANKETS`) SET n += $properties RETURN n - :result:{'entity_type': '"ORGANIZATION"', 'description': '"Rich Men are depicted as individuals of considerable wealth and status, reflecting the social hierarchy and indifference towards the less fortunate."', 'source_id': 'chunk-f1a4fbcf1ed86864b9bfd5e8dba4c683'} -2024-10-29 13:34:42,153 - lightrag - INFO - _do_upsert:query: - MERGE (n:`STREET`) + :result:{'entity_type': '"CONCEPT"', 'description': '"The Blankets are associated with the deceased man\'s body, symbolizing care and the human connection to the dead.""The Blankets are discussed in the context of the deceased\'s possessions, highlighting themes of care and abandonment after death."', 'source_id': 'chunk-e1f29eeadc1d8ab46dc8a0bbd3c56b64'} +2024-10-30 05:10:19,376 - lightrag - INFO - _do_upsert:query: + MERGE (n:`THE OIL`) SET n += $properties RETURN n - :result:{'entity_type': '"GEO"', 'description': '"The Street refers to the location where Scrooge observes the businessmen, symbolizing the busy yet impersonal urban environment."', 'source_id': 'chunk-f1a4fbcf1ed86864b9bfd5e8dba4c683'} -2024-10-29 13:34:42,428 - lightrag - INFO - _do_upsert:query: - MERGE (n:`MULTITUDES`) + :result:{'entity_type': '"CONCEPT"', 'description': '"The Oil is a material that the woman is cautious about spilling, representing the practical and sometimes distasteful attitude towards the deceased\'s belongings."', 'source_id': 'chunk-e1f29eeadc1d8ab46dc8a0bbd3c56b64'} +2024-10-30 05:10:19,649 - lightrag - INFO - _do_upsert:query: + MERGE (n:`THE SHIRT`) SET n += $properties RETURN n - :result:{'entity_type': '"CONCEPT"', 'description': '"Multitudes refer to the crowd in the city, illustrating the anonymity and disconnect among people in urban life."', 'source_id': 'chunk-f1a4fbcf1ed86864b9bfd5e8dba4c683'} -2024-10-29 13:34:42,701 - lightrag - INFO - _do_upsert:query: - MERGE (n:`SHADOW OF HIMSELF`) + :result:{'entity_type': '"CONCEPT"', 'description': '"The Shirt belonged to the deceased man and is evaluated by the woman who claims it is in good condition, further emphasizing her pragmatic approach to death."', 'source_id': 'chunk-e1f29eeadc1d8ab46dc8a0bbd3c56b64'} +2024-10-30 05:10:19,780 - lightrag - INFO - get_node:query:MATCH (n:`THE FLANNEL BAG`) RETURN n:result: +2024-10-30 05:10:19,915 - lightrag - INFO - _do_upsert:query: + MERGE (n:`THE FLANNEL BAG`) SET n += $properties RETURN n - :result:{'entity_type': '"CONCEPT"', 'description': '"Shadow of Himself represents Scrooge\'s introspection and anticipation of his future actions based on his reflections."', 'source_id': 'chunk-f1a4fbcf1ed86864b9bfd5e8dba4c683'} -2024-10-29 13:34:42,973 - lightrag - INFO - _do_upsert:query: - MERGE (n:`BAD REPUTE`) + :result:{'entity_type': '"CONCEPT"', 'description': '"The Flannel Bag contains money and symbolizes the materialistic aspects of life and the relationships surrounding The Deceased’s possessions.""The Flannel Bag is used by Joe to show the money gained from their dealings with the deceased, highlighting the theme of profit from death."', 'source_id': 'chunk-e1f29eeadc1d8ab46dc8a0bbd3c56b64'} +2024-10-30 05:10:20,184 - lightrag - INFO - _do_upsert:query: + MERGE (n:`OLD MAN'S LAMP`) SET n += $properties RETURN n - :result:{'entity_type': '"CONCEPT"', 'description': '"Bad Repute refers to the negative perception attached to certain areas of the town, underscoring themes of moral decay and neglect."', 'source_id': 'chunk-f1a4fbcf1ed86864b9bfd5e8dba4c683'} -2024-10-29 13:34:43,242 - lightrag - INFO - _do_upsert:query: - MERGE (n:`FROUZY CURTAINING`) + :result:{'entity_type': '"CONCEPT"', 'description': '"The Old Man\'s Lamp provides scant light in the scene, contributing to the mood of tension and eeriness surrounding the deceased."', 'source_id': 'chunk-e1f29eeadc1d8ab46dc8a0bbd3c56b64'} +2024-10-30 05:10:20,454 - lightrag - INFO - _do_upsert:query: + MERGE (n:`THE CORPSE`) SET n += $properties RETURN n - :result:{'entity_type': '"CONCEPT"', 'description': '"Frouzy Curtaining signifies the poor living conditions and the sense of disarray found in the low-browed shop and its surroundings."', 'source_id': 'chunk-f1a4fbcf1ed86864b9bfd5e8dba4c683'} -2024-10-29 13:34:43,512 - lightrag - INFO - _do_upsert:query: - MERGE (n:`RUSTY KEYS, NAILS, CHAINS, HINGES`) + :result:{'entity_type': '"PERSON"', 'description': '"The Corpse represents the deceased man whose belongings are being discussed, serving as a stark reminder of mortality."', 'source_id': 'chunk-e1f29eeadc1d8ab46dc8a0bbd3c56b64'} +2024-10-30 05:10:20,584 - lightrag - INFO - get_node:query:MATCH (n:`THE DARK ROOM`) RETURN n:result: +2024-10-30 05:10:20,714 - lightrag - INFO - _do_upsert:query: + MERGE (n:`THE DARK ROOM`) SET n += $properties RETURN n - :result:{'entity_type': '"CONCEPT"', 'description': '"Rusty Keys, Nails, Chains, Hinges are symbolic items representing the remnants of past lives and the detritus of a forgotten society."', 'source_id': 'chunk-f1a4fbcf1ed86864b9bfd5e8dba4c683'} -2024-10-29 13:34:43,782 - lightrag - INFO - _do_upsert:query: - MERGE (n:`OLD JOE`) + :result:{'entity_type': '"GEO"', 'description': '"The Dark Room is where the corpse lies, symbolizing isolation and the lack of care for the deceased.""The Dark Room serves as the setting for the scene, enhancing the atmosphere of dread and the theme of impending death."', 'source_id': 'chunk-e1f29eeadc1d8ab46dc8a0bbd3c56b64'} +2024-10-30 05:10:20,847 - lightrag - INFO - get_node:query:MATCH (n:`CAROLINE`) RETURN n:result: +2024-10-30 05:10:20,981 - lightrag - INFO - _do_upsert:query: + MERGE (n:`CAROLINE`) SET n += $properties RETURN n - :result:{'entity_type': '"PERSON"', 'description': '"Old Joe is a grey-haired man, nearly seventy years old, who runs a shop and conducts business in a rather nonchalant manner, showcasing a certain charm amidst his questionable dealings."', 'source_id': 'chunk-60fc063c79fc0d4acc91a57e79de04dc'} -2024-10-29 13:34:44,055 - lightrag - INFO - _do_upsert:query: - MERGE (n:`MRS. DILBER`) + :result:{'entity_type': '"PERSON"', 'description': '"Caroline is a character representing hope and emotional depth, reacting to her husband\'s news about their financial situation with a mixture of dread and optimism.""Caroline is portrayed as a mother filled with hope and emotion regarding her husband’s situation, revealing her character through her reactions to news."', 'source_id': 'chunk-83ac129dc9b56f84c46760d153d68e93'} +2024-10-30 05:10:21,253 - lightrag - INFO - _do_upsert:query: + MERGE (n:`THE CRATCHIT HOUSE`) SET n += $properties RETURN n - :result:{'entity_type': '"PERSON"', 'description': '"Mrs. Dilber is a laundress who is involved in the discussion about the belongings they are handling, exhibiting a pragmatic attitude towards the situation."', 'source_id': 'chunk-60fc063c79fc0d4acc91a57e79de04dc'} -2024-10-29 13:34:44,321 - lightrag - INFO - _do_upsert:query: - MERGE (n:`THE SHOP`) + :result:{'entity_type': '"ORGANIZATION"', 'description': '"The Cratchit House symbolizes a place of familial connection and warmth, despite the hardships faced by its inhabitants."', 'source_id': 'chunk-83ac129dc9b56f84c46760d153d68e93'} +2024-10-30 05:10:21,530 - lightrag - INFO - _do_upsert:query: + MERGE (n:`THE EVENT OF DEATH`) SET n += $properties RETURN n - :result:{'entity_type': '"ORGANIZATION"', 'description': '"The Shop is Old Joe\'s place of business and serves as the meeting location for the characters, where they evaluate and exchange stolen items."', 'source_id': 'chunk-60fc063c79fc0d4acc91a57e79de04dc'} -2024-10-29 13:34:44,594 - lightrag - INFO - _do_upsert:query: - MERGE (n:`THE BUNDLE`) + :result:{'entity_type': '"EVENT"', 'description': '"The Event of Death signifies a pivotal moment affecting the characters, transitioning their emotional state and family dynamics."', 'source_id': 'chunk-83ac129dc9b56f84c46760d153d68e93'} +2024-10-30 05:10:21,800 - lightrag - INFO - _do_upsert:query: + MERGE (n:`THE HUSBAND`) SET n += $properties RETURN n - :result:{'entity_type': '"EVENT"', 'description': '"The Bundle refers to the collection of stolen items that the characters present to Old Joe for appraisal."', 'source_id': 'chunk-60fc063c79fc0d4acc91a57e79de04dc'} -2024-10-29 13:34:44,861 - lightrag - INFO - _do_upsert:query: - MERGE (n:`THE CHARWOMAN`) + :result:{'entity_type': '"PERSON"', 'description': '"The Husband is depicted as a careworn man, bringing news that impacts his family\'s emotional state, symbolizing the struggle between hope and despair."', 'source_id': 'chunk-83ac129dc9b56f84c46760d153d68e93'} +2024-10-30 05:10:21,934 - lightrag - INFO - get_node:query:MATCH (n:`PETER`) RETURN n:result:"Peter is one of the Cratchit children, who occasionally expresses a sense of duty and future aspirations, contributing to family discussions."', 'source_id': 'chunk-83ac129dc9b56f84c46760d153d68e93chunk-1d4b58de5429cd1261370c231c8673e8'}> +2024-10-30 05:10:22,075 - lightrag - INFO - _do_upsert:query: + MERGE (n:`PETER`) SET n += $properties RETURN n - :result:{'entity_type': '"PERSON"', 'description': '"The Charwoman is a character who enters the shop first, contributing to the conversation about their collective situation concerning the deceased."', 'source_id': 'chunk-60fc063c79fc0d4acc91a57e79de04dc'} -2024-10-29 13:34:45,167 - lightrag - INFO - _do_upsert:query: - MERGE (n:`THE UNDERTAKER'S MAN`) + :result:{'entity_type': '"PERSON"', 'description': '"Peter is a member of the Cratchit family, characterized by his quiet demeanor while being engaged in reading, representing the next generation\'s concern.""Peter is one of the Cratchit children, who occasionally expresses a sense of duty and future aspirations, contributing to family discussions.""Peter is a son in the Cratchit family, responsible and calm, attempting to engage his siblings amidst a tense family situation and financial uncertainty.""Peter is the son of Bob and Mrs. Cratchit, showing concern and support for his father and siblings."', 'source_id': 'chunk-83ac129dc9b56f84c46760d153d68e93chunk-1d4b58de5429cd1261370c231c8673e8'} +2024-10-30 05:10:22,373 - lightrag - INFO - _do_upsert:query: + MERGE (n:`THE DEBT`) SET n += $properties RETURN n - :result:{'entity_type': '"PERSON"', 'description': '"The Undertaker\'s Man is a character who appears after The Charwoman, joining the group in discussing their encounters and the deceased\'s possessions."', 'source_id': 'chunk-60fc063c79fc0d4acc91a57e79de04dc'} -2024-10-29 13:34:45,452 - lightrag - INFO - _do_upsert:query: - MERGE (n:`THE CLOTHES AND ITEMS`) + :result:{'entity_type': '"CONCEPT"', 'description': '"The Debt symbolizes the financial burdens faced by the Cratchit family, a source of anxiety and tension impacting their morale and outlook."', 'source_id': 'chunk-83ac129dc9b56f84c46760d153d68e93'} +2024-10-30 05:10:22,521 - lightrag - INFO - get_node:query:MATCH (n:`MR. SCROOGE'S NEPHEW`) RETURN n:result: +2024-10-30 05:10:22,657 - lightrag - INFO - _do_upsert:query: + MERGE (n:`MR. SCROOGE'S NEPHEW`) SET n += $properties RETURN n - :result:{'entity_type': '"EVENT"', 'description': '"The Clothes and Items refer to the various possessions being appraised, representing the themes of loss and exploitation."', 'source_id': 'chunk-60fc063c79fc0d4acc91a57e79de04dc'} -2024-10-29 13:34:45,722 - lightrag - INFO - _do_upsert:query: - MERGE (n:`THE DEAD MAN`) + :result:{'entity_type': '"PERSON"', 'description': '"Mr. Scrooge\'s Nephew is a kind gentleman who expresses sympathy for Bob Cratchit and offers help, reflecting goodwill.""Mr. Scrooge\'s Nephew is a kind gentleman who shows concern for Bob Cratchit and offers support, symbolizing generosity and compassion."', 'source_id': 'chunk-1d4b58de5429cd1261370c231c8673e8'} +2024-10-30 05:10:22,787 - lightrag - INFO - get_node:query:MATCH (n:`THE TWO YOUNG CRATCHITS`) RETURN n:result: +2024-10-30 05:10:22,921 - lightrag - INFO - _do_upsert:query: + MERGE (n:`THE TWO YOUNG CRATCHITS`) SET n += $properties RETURN n - :result:{'entity_type': '"PERSON"', 'description': '"The Dead Man is mentioned as the previous owner of the items being appraised, embodying the consequences of greed and isolation."', 'source_id': 'chunk-60fc063c79fc0d4acc91a57e79de04dc'} -2024-10-29 13:34:45,996 - lightrag - INFO - _do_upsert:query: - MERGE (n:`THE DECEASED`) + :result:{'entity_type': '"PERSON"', 'description': '"The Two Young Cratchits are siblings who show affection for their father, demonstrating the innocence and unity of childhood.""The Two Young Cratchits are the younger children in the Cratchit family, who express affection towards their father, Bob."', 'source_id': 'chunk-1d4b58de5429cd1261370c231c8673e8'} +2024-10-30 05:10:23,191 - lightrag - INFO - _do_upsert:query: + MERGE (n:`THE TABLE`) SET n += $properties RETURN n - :result:{'entity_type': '"PERSON"', 'description': '"The Deceased is a character discussed among Joe and the Woman, representing themes of avarice and death, although his identity is not revealed."', 'source_id': 'chunk-e1f29eeadc1d8ab46dc8a0bbd3c56b64'} -2024-10-29 13:34:46,259 - lightrag - INFO - _do_upsert:query: - MERGE (n:`THE BED`) + :result:{'entity_type': '"GEO"', 'description': '"The Table is where the Cratchit family gathers, representing their domestic life and togetherness."', 'source_id': 'chunk-1d4b58de5429cd1261370c231c8673e8'} +2024-10-30 05:10:23,460 - lightrag - INFO - _do_upsert:query: + MERGE (n:`THE ROOM ABOVE`) SET n += $properties RETURN n - :result:{'entity_type': '"GEO"', 'description': '"The Bed represents a central object in the scene, symbolizing the final resting place of The Deceased and contributing to the themes of mortality and neglect."', 'source_id': 'chunk-e1f29eeadc1d8ab46dc8a0bbd3c56b64'} -2024-10-29 13:34:46,540 - lightrag - INFO - _do_upsert:query: - MERGE (n:`THE BLANKETS`) + :result:{'entity_type': '"GEO"', 'description': '"The Room Above is a space in the Cratchit household which is illuminated cheerfully, suggesting a haven despite their hardships."', 'source_id': 'chunk-1d4b58de5429cd1261370c231c8673e8'} +2024-10-30 05:10:23,598 - lightrag - INFO - get_node:query:MATCH (n:`THE GHOST OF CHRISTMAS YET TO COME`) RETURN n:result: +2024-10-30 05:10:23,735 - lightrag - INFO - _do_upsert:query: + MERGE (n:`THE GHOST OF CHRISTMAS YET TO COME`) SET n += $properties RETURN n - :result:{'entity_type': '"GEO"', 'description': '"The Blankets are discussed in the context of the deceased\'s possessions, highlighting themes of care and abandonment after death."', 'source_id': 'chunk-e1f29eeadc1d8ab46dc8a0bbd3c56b64'} -2024-10-29 13:34:46,813 - lightrag - INFO - _do_upsert:query: - MERGE (n:`THE DARK ROOM`) + :result:{'entity_type': '"ORGANIZATION"', 'description': '"The Ghost of Christmas Yet to Come is a spectral being that guides Scrooge through visions of his potential future.""The Ghost of Christmas Yet to Come is a spirit that shows Scrooge the consequences of his actions, pointing toward his eventual demise.""The Ghost of Christmas Yet to Come reveals the potential consequences of Scrooge\'s current life choices, emphasizing themes of mortality and legacy."', 'source_id': 'chunk-90b95db5c53e4364a6bee36b7aa4d70fchunk-91572b3cd42786ba4cb2f180ca25cbf4'} +2024-10-30 05:10:24,009 - lightrag - INFO - _do_upsert:query: + MERGE (n:`GRAVE`) SET n += $properties RETURN n - :result:{'entity_type': '"GEO"', 'description': '"The Dark Room serves as the setting for the scene, enhancing the atmosphere of dread and the theme of impending death."', 'source_id': 'chunk-e1f29eeadc1d8ab46dc8a0bbd3c56b64'} -2024-10-29 13:34:47,085 - lightrag - INFO - _do_upsert:query: - MERGE (n:`THE FLANNEL BAG`) + :result:{'entity_type': '"GEO"', 'description': '"The Grave represents a place where Scrooge\'s future self lies, symbolizing death and the consequences of a life unexamined."', 'source_id': 'chunk-91572b3cd42786ba4cb2f180ca25cbf4'} +2024-10-30 05:10:24,281 - lightrag - INFO - _do_upsert:query: + MERGE (n:`THE GRAVESTONE`) SET n += $properties RETURN n - :result:{'entity_type': '"GEO"', 'description': '"The Flannel Bag contains money and symbolizes the materialistic aspects of life and the relationships surrounding The Deceased’s possessions."', 'source_id': 'chunk-e1f29eeadc1d8ab46dc8a0bbd3c56b64'} -2024-10-29 13:34:47,355 - lightrag - INFO - _do_upsert:query: - MERGE (n:`AVARICE`) + :result:{'entity_type': '"GEO"', 'description': '"The Gravestone bears Scrooge\'s name and symbolizes mortality and the legacy of his actions during his lifetime."', 'source_id': 'chunk-91572b3cd42786ba4cb2f180ca25cbf4'} +2024-10-30 05:10:24,421 - lightrag - INFO - get_node:query:MATCH (n:`THE FUTURE`) RETURN n:result:"The Future represents the potential outcomes of Scrooge’s life choices, depicted through the visions shown by the Spirits."', 'source_id': 'chunk-91572b3cd42786ba4cb2f180ca25cbf4chunk-02baee20cc9463dbe08170a8e1043e32'}> +2024-10-30 05:10:24,559 - lightrag - INFO - _do_upsert:query: + MERGE (n:`THE FUTURE`) SET n += $properties RETURN n - :result:{'entity_type': '"CONCEPT"', 'description': '"Avarice is a theme personified in Scrooge\'s contemplation of The Deceased, symbolizing greed and its ultimate consequences in death."', 'source_id': 'chunk-e1f29eeadc1d8ab46dc8a0bbd3c56b64'} -2024-10-29 13:34:47,631 - lightrag - INFO - _do_upsert:query: - MERGE (n:`CAROLINE`) + :result:{'entity_type': '"CONCEPT"', 'description': '"The Future is represented as a realm of possibility and consequence that concerns Scrooge\'s fate and choices.""The Future represents the potential outcomes of Scrooge’s life choices, depicted through the visions shown by the Spirits.""The Future refers to the outcomes that Scrooge may face based on his current actions, raising themes of choice and consequence."', 'source_id': 'chunk-91572b3cd42786ba4cb2f180ca25cbf4chunk-02baee20cc9463dbe08170a8e1043e32'} +2024-10-30 05:10:24,689 - lightrag - INFO - get_node:query:MATCH (n:`THE PAST`) RETURN n:result: +2024-10-30 05:10:24,823 - lightrag - INFO - _do_upsert:query: + MERGE (n:`THE PAST`) SET n += $properties RETURN n - :result:{'entity_type': '"PERSON"', 'description': '"Caroline is a character representing hope and emotional depth, reacting to her husband\'s news about their financial situation with a mixture of dread and optimism."', 'source_id': 'chunk-83ac129dc9b56f84c46760d153d68e93'} -2024-10-29 13:34:47,907 - lightrag - INFO - _do_upsert:query: - MERGE (n:`THE DARK CHAMBER`) - SET n += $properties - RETURN n - :result:{'entity_type': '"CONCEPT"', 'description': '"The Dark Chamber represents a metaphorical space associated with death, despair, and the consequences of one\'s actions, highlighted during Scrooge\'s reflections."', 'source_id': 'chunk-83ac129dc9b56f84c46760d153d68e93'} -2024-10-29 13:34:48,180 - lightrag - INFO - _do_upsert:query: - MERGE (n:`THE ROOM BY DAYLIGHT`) - SET n += $properties - RETURN n - :result:{'entity_type': '"CONCEPT"', 'description': '"The Room by Daylight symbolizes hope and normalcy amidst adversity, contrasting with the earlier dark and fearful atmosphere."', 'source_id': 'chunk-83ac129dc9b56f84c46760d153d68e93'} -2024-10-29 13:34:48,456 - lightrag - INFO - _do_upsert:query: - MERGE (n:`PETER`) - SET n += $properties - RETURN n - :result:{'entity_type': '"PERSON"', 'description': '"Peter is a member of the Cratchit family, characterized by his quiet demeanor while being engaged in reading, representing the next generation\'s concern.""Peter is one of the Cratchit children, who occasionally expresses a sense of duty and future aspirations, contributing to family discussions."', 'source_id': 'chunk-83ac129dc9b56f84c46760d153d68e93chunk-1d4b58de5429cd1261370c231c8673e8'} -2024-10-29 13:34:48,727 - lightrag - INFO - _do_upsert:query: - MERGE (n:`FEROCIOUS CAT`) - SET n += $properties - RETURN n - :result:{'entity_type': '"CONCEPT"', 'description': '"The Ferocious Cat represents untamed instincts and survival in a harsh environment, providing a sense of discomfort and disturbance in Scrooge\'s reflections."', 'source_id': 'chunk-83ac129dc9b56f84c46760d153d68e93'} -2024-10-29 13:34:49,003 - lightrag - INFO - _do_upsert:query: - MERGE (n:`FEARFUL PLACE`) - SET n += $properties - RETURN n - :result:{'entity_type': '"CONCEPT"', 'description': '"The Fearful Place embodies Scrooge\'s dread of confronting his past mistakes and the implications of death, showcasing his internal struggles."', 'source_id': 'chunk-83ac129dc9b56f84c46760d153d68e93'} -2024-10-29 13:34:49,268 - lightrag - INFO - _do_upsert:query: - MERGE (n:`THE LONG-EXPECTED KNOCK`) - SET n += $properties - RETURN n - :result:{'entity_type': '"EVENT"', 'description': '"The Long-Expected Knock signifies a pivotal moment of anticipation related to the return of the mother’s husband, laden with emotional significance."', 'source_id': 'chunk-83ac129dc9b56f84c46760d153d68e93'} -2024-10-29 13:34:49,542 - lightrag - INFO - _do_upsert:query: - MERGE (n:`THE CANDLE-LIGHT`) - SET n += $properties - RETURN n - :result:{'entity_type': '"CONCEPT"', 'description': '"The Candle-Light represents fragility and vulnerability, affecting the perception of Tiny Tim and reflecting the family\'s struggles with health and poverty."', 'source_id': 'chunk-83ac129dc9b56f84c46760d153d68e93'} -2024-10-29 13:34:49,815 - lightrag - INFO - _do_upsert:query: - MERGE (n:`DEBT`) - SET n += $properties - RETURN n - :result:{'entity_type': '"CONCEPT"', 'description': '"Debt signifies a financial burden underpinning the Cratchit family\'s tension and expectations regarding their future after a death event."', 'source_id': 'chunk-83ac129dc9b56f84c46760d153d68e93'} -2024-10-29 13:34:50,093 - lightrag - INFO - _do_upsert:query: - MERGE (n:`MERCILESS CREDITOR`) - SET n += $properties - RETURN n - :result:{'entity_type': '"CONCEPT"', 'description': '"The Merciless Creditor symbolizes the harsh realities of financial struggles faced by the Cratchit family, representing the societal pressures they endure."', 'source_id': 'chunk-83ac129dc9b56f84c46760d153d68e93'} -2024-10-29 13:34:50,369 - lightrag - INFO - _do_upsert:query: - MERGE (n:`EMOTION`) - SET n += $properties - RETURN n - :result:{'entity_type': '"CONCEPT"', 'description': '"Emotion encompasses the various feelings experienced by the characters in response to death, hope, and familial bonds, underscoring the human condition."', 'source_id': 'chunk-83ac129dc9b56f84c46760d153d68e93'} -2024-10-29 13:34:50,643 - lightrag - INFO - _do_upsert:query: - MERGE (n:`KIND WORD`) + :result:{'entity_type': '"CONCEPT"', 'description': '"The Past is a concept that reflects Scrooge\'s memories and previous actions that influence his current state and future decisions.""The Past reflects on Scrooge\'s earlier life choices and experiences that shaped who he has become."', 'source_id': 'chunk-91572b3cd42786ba4cb2f180ca25cbf4'} +2024-10-30 05:10:24,956 - lightrag - INFO - get_node:query:MATCH (n:`THE PRESENT`) RETURN n:result: +2024-10-30 05:10:25,093 - lightrag - INFO - _do_upsert:query: + MERGE (n:`THE PRESENT`) SET n += $properties RETURN n - :result:{'entity_type': '"CONCEPT"', 'description': '"A Kind Word illustrates the theme of empathy and how small gestures can significantly impact one\'s emotional state, as recalled by Scrooge."', 'source_id': 'chunk-83ac129dc9b56f84c46760d153d68e93'} -2024-10-29 13:34:50,926 - lightrag - INFO - _do_upsert:query: - MERGE (n:`CLASPED HANDS`) + :result:{'entity_type': '"CONCEPT"', 'description': '"The Present emphasizes the importance of living in the moment and embracing current opportunities for change.""The Present represents the current moment in Scrooge\'s life that he must recognize and change to achieve redemption."', 'source_id': 'chunk-91572b3cd42786ba4cb2f180ca25cbf4'} +2024-10-30 05:10:25,226 - lightrag - INFO - get_node:query:MATCH (n:`THE POULTERER'S`) RETURN n:result: +2024-10-30 05:10:25,366 - lightrag - INFO - _do_upsert:query: + MERGE (n:`THE POULTERER'S`) SET n += $properties RETURN n - :result:{'entity_type': '"CONCEPT"', 'description': '"Clasped Hands symbolize prayer or hope, reflecting the mother\'s reaction and the emotional weight carried by her and the Cratchit family."', 'source_id': 'chunk-83ac129dc9b56f84c46760d153d68e93'} -2024-10-29 13:34:51,202 - lightrag - INFO - _do_upsert:query: - MERGE (n:`MR. SCROOGE'S NEPHEW`) + :result:{'entity_type': '"ORGANIZATION"', 'description': '"The Poulterer\'s is a shop mentioned by Scrooge, relevant in the context of his generous actions towards the Cratchit family.""The Poulterer\'s is a shop where Scrooge intends to buy a turkey for the Cratchit family."', 'source_id': 'chunk-90b95db5c53e4364a6bee36b7aa4d70f'} +2024-10-30 05:10:25,496 - lightrag - INFO - get_node:query:MATCH (n:`THE SPIRITS`) RETURN n:result:"The Spirits represent the past, present, and future in Scrooge\'s life, guiding him toward redemption and self-reflection."', 'source_id': 'chunk-90b95db5c53e4364a6bee36b7aa4d70fchunk-cb661c37436355ccec2769b1d0350c5f'}> +2024-10-30 05:10:25,626 - lightrag - INFO - _do_upsert:query: + MERGE (n:`THE SPIRITS`) SET n += $properties RETURN n - :result:{'entity_type': '"PERSON"', 'description': '"Mr. Scrooge\'s Nephew is a kind gentleman who shows concern for Bob Cratchit and offers support, symbolizing generosity and compassion."', 'source_id': 'chunk-1d4b58de5429cd1261370c231c8673e8'} -2024-10-29 13:34:51,470 - lightrag - INFO - _do_upsert:query: - MERGE (n:`THE CRATCHIT FAMILY`) + :result:{'entity_type': '"CONCEPT"', 'description': '"The Spirits collectively represent the supernatural forces that seek to guide and teach Scrooge about the impact of his life choices.""The Spirits represent the past, present, and future in Scrooge\'s life, guiding him toward redemption and self-reflection.""The Spirits represent the forces that guide Scrooge towards his transformation and are instrumental in his journey of redemption."', 'source_id': 'chunk-90b95db5c53e4364a6bee36b7aa4d70fchunk-cb661c37436355ccec2769b1d0350c5f'} +2024-10-30 05:10:25,758 - lightrag - INFO - get_node:query:MATCH (n:`THE GHOST OF CHRISTMAS PRESENT`) RETURN n:result:"The Ghost of Christmas Present is a supernatural being that shows Scrooge the true spirit of Christmas, including kindness towards the poor.""The Ghost of Christmas Present signifies abundance and the spirit of joy that Scrooge is encouraged to embrace."', 'source_id': 'chunk-90b95db5c53e4364a6bee36b7aa4d70fchunk-43c9bee23adfa77aa9dedd22401bba7dchunk-b0f459f5af1c3a5e0b92cbe4ee48b77b'}> +2024-10-30 05:10:25,896 - lightrag - INFO - _do_upsert:query: + MERGE (n:`THE GHOST OF CHRISTMAS PRESENT`) SET n += $properties RETURN n - :result:{'entity_type': '"ORGANIZATION"', 'description': '"The Cratchit Family consists of Bob, Mrs. Cratchit, and their children, highlighting themes of familial love and support amidst hardship."', 'source_id': 'chunk-1d4b58de5429cd1261370c231c8673e8'} -2024-10-29 13:34:51,751 - lightrag - INFO - _do_upsert:query: - MERGE (n:`THE TWO YOUNG CRATCHITS`) + :result:{'entity_type': '"PERSON"', 'description': '"The Ghost of Christmas Present is a spirit that guides Scrooge through his memories and the joy of the present Christmas celebration.""The Ghost of Christmas Present is a supernatural being that shows Scrooge the true spirit of Christmas, including kindness towards the poor.""The Ghost of Christmas Present signifies abundance and the spirit of joy that Scrooge is encouraged to embrace.""The Ghost of Christmas Present is one of the spirits that help Scrooge understand the importance of generosity and compassion during the festive season."', 'source_id': 'chunk-90b95db5c53e4364a6bee36b7aa4d70fchunk-b0f459f5af1c3a5e0b92cbe4ee48b77bchunk-43c9bee23adfa77aa9dedd22401bba7d'} +2024-10-30 05:10:26,165 - lightrag - INFO - _do_upsert:query: + MERGE (n:`THE CHRISTMAS DINNER`) SET n += $properties RETURN n - :result:{'entity_type': '"PERSON"', 'description': '"The Two Young Cratchits are the younger children in the Cratchit family, who express affection towards their father, Bob."', 'source_id': 'chunk-1d4b58de5429cd1261370c231c8673e8'} -2024-10-29 13:34:52,023 - lightrag - INFO - _do_upsert:query: - MERGE (n:`CHRISTMAS DINNER`) + :result:{'entity_type': '"EVENT"', 'description': '"The Christmas Dinner signifies the gathering of the Cratchit family, highlighting themes of togetherness and the warmth of family during the holiday season."', 'source_id': 'chunk-90b95db5c53e4364a6bee36b7aa4d70f'} +2024-10-30 05:10:26,295 - lightrag - INFO - get_node:query:MATCH (n:`THE STREET`) RETURN n:result: +2024-10-30 05:10:26,433 - lightrag - INFO - _do_upsert:query: + MERGE (n:`THE STREET`) SET n += $properties RETURN n - :result:{'entity_type': '"EVENT"', 'description': '"Christmas Dinner is an important family gathering that symbolizes togetherness and joy despite hardships."', 'source_id': 'chunk-1d4b58de5429cd1261370c231c8673e8'} -2024-10-29 13:34:52,295 - lightrag - INFO - _do_upsert:query: - MERGE (n:`SUNDAY`) + :result:{'entity_type': '"GEO"', 'description': '"The Street is the setting where Scrooge interacts with the boy and demonstrates his newfound generosity after his transformation.""The Street is where Mr. Scrooge\'s Nephew encounters Bob Cratchit, facilitating a significant moment of kindness in the narrative.""The Street represents the setting where Scrooge interacts with various characters and experiences joy, emphasizing the festive atmosphere."', 'source_id': 'chunk-90b95db5c53e4364a6bee36b7aa4d70fchunk-8f738cb25d60a7dab782162d9d0a25edchunk-1d4b58de5429cd1261370c231c8673e8'} +2024-10-30 05:10:26,569 - lightrag - INFO - get_node:query:MATCH (n:`THE BOY`) RETURN n:result:"The Boy is a young messenger who interacts with Scrooge during his purchase of the turkey."', 'source_id': 'chunk-8f738cb25d60a7dab782162d9d0a25edchunk-8bc1edd983869352d14cf0886a9175a7'}> +2024-10-30 05:10:26,704 - lightrag - INFO - _do_upsert:query: + MERGE (n:`THE BOY`) SET n += $properties RETURN n - :result:{'entity_type': '"EVENT"', 'description': '"Sunday is presented as a day of walking to a green place, signifying hope and connection to nature in the Cratchit family\'s lives."', 'source_id': 'chunk-1d4b58de5429cd1261370c231c8673e8'} -2024-10-29 13:34:52,564 - lightrag - INFO - _do_upsert:query: - MERGE (n:`THE STREET`) + :result:{'entity_type': '"PERSON"', 'description': '"The Boy is a character mentioned briefly, who tries to hide behind another girl, indicating shyness among the festive crowd.""The Boy is a young messenger who interacts with Scrooge during his purchase of the turkey.""The Boy represents innocence and curiosity, serving as a catalyst for Scrooge\'s generous act by purchasing the turkey."', 'source_id': 'chunk-90b95db5c53e4364a6bee36b7aa4d70fchunk-8bc1edd983869352d14cf0886a9175a7chunk-8f738cb25d60a7dab782162d9d0a25ed'} +2024-10-30 05:10:26,835 - lightrag - INFO - get_node:query:MATCH (n:`THE TURKEY`) RETURN n:result: +2024-10-30 05:10:26,969 - lightrag - INFO - _do_upsert:query: + MERGE (n:`THE TURKEY`) SET n += $properties RETURN n - :result:{'entity_type': '"GEO"', 'description': '"The Street is where Mr. Scrooge\'s Nephew encounters Bob Cratchit, facilitating a significant moment of kindness in the narrative."', 'source_id': 'chunk-1d4b58de5429cd1261370c231c8673e8'} -2024-10-29 13:34:52,839 - lightrag - INFO - _do_upsert:query: - MERGE (n:`THE WORK ON THE TABLE`) + :result:{'entity_type': '"EVENT"', 'description': '"The Turkey is a large bird that Scrooge has humorously commented on sending to Bob, symbolizing generosity and Christmas spirit.""The Turkey represents a key symbol of generosity and festivity during Christmas, as Scrooge purchases it to spread joy.""The Turkey symbolizes the generosity and festive spirit that Scrooge embraces following his transformation."', 'source_id': 'chunk-90b95db5c53e4364a6bee36b7aa4d70fchunk-8f738cb25d60a7dab782162d9d0a25ed'} +2024-10-30 05:10:27,237 - lightrag - INFO - _do_upsert:query: + MERGE (n:`THE OLD GENTLEMAN`) SET n += $properties RETURN n - :result:{'entity_type': '"CONCEPT"', 'description': '"The Work on the Table represents the industriousness and efforts of the Cratchit family to provide and bond together."', 'source_id': 'chunk-1d4b58de5429cd1261370c231c8673e8'} -2024-10-29 13:34:53,110 - lightrag - INFO - _do_upsert:query: + :result:{'entity_type': '"PERSON"', 'description': '"The Old Gentleman is a character with whom Scrooge interacts, showcasing the themes of kindness and forgiveness."', 'source_id': 'chunk-8f738cb25d60a7dab782162d9d0a25ed'} +2024-10-30 05:10:27,368 - lightrag - INFO - get_node:query:MATCH (n:`BOB`) RETURN n:result:"Bob is referenced humorously by Scrooge in the context of a joke regarding a large turkey."', 'source_id': 'chunk-8f738cb25d60a7dab782162d9d0a25edchunk-91572b3cd42786ba4cb2f180ca25cbf4'}> +2024-10-30 05:10:27,504 - lightrag - INFO - _do_upsert:query: MERGE (n:`BOB`) SET n += $properties RETURN n - :result:{'entity_type': '"PERSON"', 'description': '"Bob is a character who reflects on the importance of unity and remembering Tiny Tim among his family.""Bob is referenced humorously by Scrooge in the context of a joke regarding a large turkey."', 'source_id': 'chunk-8f738cb25d60a7dab782162d9d0a25edchunk-91572b3cd42786ba4cb2f180ca25cbf4'} -2024-10-29 13:34:53,378 - lightrag - INFO - _do_upsert:query: - MERGE (n:`THE GHOST OF CHRISTMAS YET TO COME`) + :result:{'entity_type': '"PERSON"', 'description': '"Bob is a character who reflects on the importance of unity and remembering Tiny Tim among his family.""Bob is referenced humorously by Scrooge in the context of a joke regarding a large turkey.""Bob is likely referenced as a character who may receive the turkey sent by Scrooge, highlighting the theme of generosity."', 'source_id': 'chunk-91572b3cd42786ba4cb2f180ca25cbf4chunk-8f738cb25d60a7dab782162d9d0a25ed'} +2024-10-30 05:10:27,772 - lightrag - INFO - _do_upsert:query: + MERGE (n:`THE CAB`) SET n += $properties RETURN n - :result:{'entity_type': '"ORGANIZATION"', 'description': '"The Ghost of Christmas Yet to Come is a spectral being that guides Scrooge through visions of his potential future."', 'source_id': 'chunk-91572b3cd42786ba4cb2f180ca25cbf4'} -2024-10-29 13:34:53,647 - lightrag - INFO - _do_upsert:query: - MERGE (n:`TWO YOUNG CRATCHITS`) + :result:{'entity_type': '"EVENT"', 'description': '"The Cab is an event associated with transporting the turkey, illustrating the lengths to which Scrooge is willing to go to share joy."', 'source_id': 'chunk-8f738cb25d60a7dab782162d9d0a25ed'} +2024-10-30 05:10:28,037 - lightrag - INFO - _do_upsert:query: + MERGE (n:`THE KITCHEN`) SET n += $properties RETURN n - :result:{'entity_type': '"PERSON"', 'description': '"The Two Young Cratchits symbolize the innocence and joy of childhood within the Cratchit family."', 'source_id': 'chunk-91572b3cd42786ba4cb2f180ca25cbf4'} -2024-10-29 13:34:53,916 - lightrag - INFO - _do_upsert:query: - MERGE (n:`THE GRAVE`) + :result:{'entity_type': '"GEO"', 'description': '"The Kitchen is a location that Scrooge looks into, symbolizing warmth, family, and the spirit of hospitality during the holiday season."', 'source_id': 'chunk-8f738cb25d60a7dab782162d9d0a25ed'} +2024-10-30 05:10:28,306 - lightrag - INFO - _do_upsert:query: + MERGE (n:`MISTRESS`) SET n += $properties RETURN n - :result:{'entity_type': '"GEO"', 'description': '"The Grave symbolizes the ultimate consequence of Scrooge\'s actions and the life he leads, representing mortality."', 'source_id': 'chunk-91572b3cd42786ba4cb2f180ca25cbf4'} -2024-10-29 13:34:54,185 - lightrag - INFO - _do_upsert:query: - MERGE (n:`THE PAST`) + :result:{'entity_type': '"PERSON"', 'description': '"Mistress is referenced in relation to Fred, indicating the presence of family dynamics during the Christmas celebration."', 'source_id': 'chunk-8f738cb25d60a7dab782162d9d0a25ed'} +2024-10-30 05:10:28,580 - lightrag - INFO - _do_upsert:query: + MERGE (n:`THE FAMILY`) SET n += $properties RETURN n - :result:{'entity_type': '"GEO"', 'description': '"The Past is a concept that reflects Scrooge\'s memories and previous actions that influence his current state and future decisions."', 'source_id': 'chunk-91572b3cd42786ba4cb2f180ca25cbf4'} -2024-10-29 13:34:54,452 - lightrag - INFO - _do_upsert:query: - MERGE (n:`THE PRESENT`) + :result:{'entity_type': '"ORGANIZATION"', 'description': '"The Family includes Bob Cratchit and his loved ones, who represent themes of togetherness and support during Christmas."', 'source_id': 'chunk-94bea83e7153fc2064aa382b494936a1'} +2024-10-30 05:10:28,709 - lightrag - INFO - get_node:query:MATCH (n:`THE TANK`) RETURN n:result: +2024-10-30 05:10:28,840 - lightrag - INFO - _do_upsert:query: + MERGE (n:`THE TANK`) SET n += $properties RETURN n - :result:{'entity_type': '"GEO"', 'description': '"The Present represents the current moment in Scrooge\'s life that he must recognize and change to achieve redemption."', 'source_id': 'chunk-91572b3cd42786ba4cb2f180ca25cbf4'} -2024-10-29 13:34:54,730 - lightrag - INFO - _do_upsert:query: - MERGE (n:`THE POULTERER'S`) + :result:{'entity_type': '"LOCATION"', 'description': '"The Tank is the workplace setting where Bob Cratchit works under Scrooge, highlighting the power dynamics in their relationship.""The Tank refers to Bob Cratchit\'s work area, where he encounters Scrooge and faces the consequences of arriving late."', 'source_id': 'chunk-94bea83e7153fc2064aa382b494936a1'} +2024-10-30 05:10:29,113 - lightrag - INFO - _do_upsert:query: + MERGE (n:`SMOKING BISHOP`) SET n += $properties RETURN n - :result:{'entity_type': '"ORGANIZATION"', 'description': '"The Poulterer\'s is a shop where Scrooge intends to buy a turkey for the Cratchit family."', 'source_id': 'chunk-90b95db5c53e4364a6bee36b7aa4d70f'} -2024-10-29 13:34:55,001 - lightrag - INFO - _do_upsert:query: - MERGE (n:`THE GHOST OF JACOB MARLEY`) + :result:{'entity_type': '"CONCEPT"', 'description': '"Smoking Bishop is a traditional Christmas drink mentioned in the context of Scrooge and Bob\'s plans to celebrate together, symbolizing festive cheer."', 'source_id': 'chunk-94bea83e7153fc2064aa382b494936a1'} +2024-10-30 05:10:29,246 - lightrag - INFO - get_node:query:MATCH (n:`THE FOUNDATION`) RETURN n:result: +2024-10-30 05:10:29,384 - lightrag - INFO - _do_upsert:query: + MERGE (n:`THE FOUNDATION`) SET n += $properties RETURN n - :result:{'entity_type': '"EVENT"', 'description': '"The Ghost of Jacob Marley is the supernatural being that visits Scrooge to warn him and set the stage for his transformation."', 'source_id': 'chunk-90b95db5c53e4364a6bee36b7aa4d70f'} -2024-10-29 13:34:55,279 - lightrag - INFO - _do_upsert:query: - MERGE (n:`THE GHOST OF CHRISTMAS FUTURE`) + :result:{'entity_type': '"ORGANIZATION"', 'description': '"The Foundation, also known as the Project Gutenberg Literary Archive Foundation, owns the compilation copyright in the collection of Project Gutenberg electronic works.""The Foundation, referred to as the Project Gutenberg Literary Archive Foundation, owns the compilation copyright of Project Gutenberg\'s collection."', 'source_id': 'chunk-194cd9680f4967f48bea89678f7ece21'} +2024-10-30 05:10:29,520 - lightrag - INFO - get_node:query:MATCH (n:`TRANSCRIBER'S NOTE`) RETURN n:result: +2024-10-30 05:10:29,656 - lightrag - INFO - _do_upsert:query: + MERGE (n:`TRANSCRIBER'S NOTE`) SET n += $properties RETURN n - :result:{'entity_type': '"EVENT"', 'description': '"The Ghost of Christmas Future represents the potential consequences of Scrooge\'s actions and choices."', 'source_id': 'chunk-90b95db5c53e4364a6bee36b7aa4d70f'} -2024-10-29 13:34:55,543 - lightrag - INFO - _do_upsert:query: - MERGE (n:`SUNDAY CLOTHES BOY`) + :result:{'entity_type': '"EVENT"', 'description': '"The Transcriber\'s note indicates additional information provided by the transcriber of the Project Gutenberg eBook.""Transcriber\'s Note refers to the added content by the transcriber, indicating additional information or context regarding the work."', 'source_id': 'chunk-194cd9680f4967f48bea89678f7ece21'} +2024-10-30 05:10:29,925 - lightrag - INFO - _do_upsert:query: + MERGE (n:`UNITED STATES COPYRIGHT`) SET n += $properties RETURN n - :result:{'entity_type': '"PERSON"', 'description': '"The boy in Sunday clothes serves as a character who interacts with Scrooge, demonstrating innocence and curiosity."', 'source_id': 'chunk-90b95db5c53e4364a6bee36b7aa4d70f'} -2024-10-29 13:34:55,821 - lightrag - INFO - _do_upsert:query: - MERGE (n:`THE SITTING ROOM`) + :result:{'entity_type': '"CONCEPT"', 'description': '"United States copyright refers to the laws governing the protection of intellectual property, which influence the distribution of works within the U.S."', 'source_id': 'chunk-194cd9680f4967f48bea89678f7ece21'} +2024-10-30 05:10:30,055 - lightrag - INFO - get_node:query:MATCH (n:`GENERAL TERMS OF USE`) RETURN n:result: +2024-10-30 05:10:30,186 - lightrag - INFO - _do_upsert:query: + MERGE (n:`GENERAL TERMS OF USE`) SET n += $properties RETURN n - :result:{'entity_type': '"LOCATION"', 'description': '"The Sitting Room is a significant space in Scrooge\'s home where he experiences emotional revelations and transformations."', 'source_id': 'chunk-90b95db5c53e4364a6bee36b7aa4d70f'} -2024-10-29 13:34:56,089 - lightrag - INFO - _do_upsert:query: - MERGE (n:`THE TURKEY`) + :result:{'entity_type': '"CONCEPT"', 'description': '"General Terms of Use details the overall framework and guidelines for using Project Gutenberg\'s works and services.""The General Terms of Use outlines regulations for using and distributing Project Gutenberg works."', 'source_id': 'chunk-194cd9680f4967f48bea89678f7ece21'} +2024-10-30 05:10:30,462 - lightrag - INFO - _do_upsert:query: + MERGE (n:`ELECTRONIC WORKS`) SET n += $properties RETURN n - :result:{'entity_type': '"EVENT"', 'description': '"The Turkey is a large bird that Scrooge has humorously commented on sending to Bob, symbolizing generosity and Christmas spirit."', 'source_id': 'chunk-8f738cb25d60a7dab782162d9d0a25ed'} -2024-10-29 13:34:56,357 - lightrag - INFO - _do_upsert:query: - MERGE (n:`THE CHURCH`) + :result:{'entity_type': '"CONCEPT"', 'description': '"Electronic works refer to digital versions of literary texts that can be freely accessed and shared without restriction."', 'source_id': 'chunk-194cd9680f4967f48bea89678f7ece21'} +2024-10-30 05:10:30,605 - lightrag - INFO - get_node:query:MATCH (n:`TRADEMARK LICENSE`) RETURN n:result: +2024-10-30 05:10:30,747 - lightrag - INFO - _do_upsert:query: + MERGE (n:`TRADEMARK LICENSE`) SET n += $properties RETURN n - :result:{'entity_type': '"ORGANIZATION"', 'description': '"The Church is a place Scrooge visits, indicating his desire to engage in the Christmas spirit and community."', 'source_id': 'chunk-8f738cb25d60a7dab782162d9d0a25ed'} -2024-10-29 13:34:56,620 - lightrag - INFO - _do_upsert:query: - MERGE (n:`THE PEOPLE`) + :result:{'entity_type': '"CONCEPT"', 'description': '"The trademark license governs the usage of the Project Gutenberg trademark, ensuring its protection during distribution.""Trademark license describes the regulations for using the Project Gutenberg trademark and ensures its protection in distributions."', 'source_id': 'chunk-194cd9680f4967f48bea89678f7ece21'} +2024-10-30 05:10:31,012 - lightrag - INFO - _do_upsert:query: + MERGE (n:`COPYRIGHT ROYALTIES`) SET n += $properties RETURN n - :result:{'entity_type': '"ORGANIZATION"', 'description': '"The People represent the various individuals Scrooge encounters during his joyful walk, symbolizing community and shared happiness."', 'source_id': 'chunk-8f738cb25d60a7dab782162d9d0a25ed'} -2024-10-29 13:34:56,890 - lightrag - INFO - _do_upsert:query: - MERGE (n:`THE TANK`) + :result:{'entity_type': '"CONCEPT"', 'description': '"Copyright royalties refer to the fees owed for the use of copyrighted material, which generally do not apply to works in the public domain."', 'source_id': 'chunk-194cd9680f4967f48bea89678f7ece21'} +2024-10-30 05:10:31,145 - lightrag - INFO - get_node:query:MATCH (n:`DERIVATIVE WORKS`) RETURN n:result: +2024-10-30 05:10:31,280 - lightrag - INFO - _do_upsert:query: + MERGE (n:`DERIVATIVE WORKS`) SET n += $properties RETURN n - :result:{'entity_type': '"LOCATION"', 'description': '"The Tank refers to Bob Cratchit\'s work area, where he encounters Scrooge and faces the consequences of arriving late."', 'source_id': 'chunk-94bea83e7153fc2064aa382b494936a1'} -2024-10-29 13:34:57,162 - lightrag - INFO - _do_upsert:query: - MERGE (n:`THE FOUNDATION`) + :result:{'entity_type': '"CONCEPT"', 'description': '"Derivative works are adaptations or modifications of original works that may be created and shared under specific conditions.""Derivative works refer to adaptations or creations based on original texts, allowed under certain conditions set by Project Gutenberg."', 'source_id': 'chunk-194cd9680f4967f48bea89678f7ece21'} +2024-10-30 05:10:31,551 - lightrag - INFO - _do_upsert:query: + MERGE (n:`NON-COPYRIGHTED WORKS`) SET n += $properties RETURN n - :result:{'entity_type': '"ORGANIZATION"', 'description': '"The Foundation, referred to as the Project Gutenberg Literary Archive Foundation, owns the compilation copyright of Project Gutenberg\'s collection."', 'source_id': 'chunk-194cd9680f4967f48bea89678f7ece21'} -2024-10-29 13:34:57,434 - lightrag - INFO - _do_upsert:query: - MERGE (n:`UNITED STATES`) + :result:{'entity_type': '"CONCEPT"', 'description': '"Non-copyrighted works refer to literary pieces that are not protected by copyright and can be freely used by anyone."', 'source_id': 'chunk-194cd9680f4967f48bea89678f7ece21'} +2024-10-30 05:10:31,683 - lightrag - INFO - get_node:query:MATCH (n:`PROJECT GUTENBERG LITERARY ARCHIVE FOUNDATION`) RETURN n:result:"The Project Gutenberg Literary Archive Foundation is a non-profit organization established to ensure the free distribution of electronic works and maintain the Project Gutenberg™ collection for future generations.""The Project Gutenberg Literary Archive Foundation manages the Project Gutenberg trademark and oversees rights and licensing for the organization."', 'source_id': 'chunk-af4ae173c561e4594c5aea96198cce9dchunk-c51b3dc560b408cce12cdfe5c9c94f57chunk-85f77f5e3a9aba01133555a2d20e2fd8'}> +2024-10-30 05:10:31,818 - lightrag - INFO - _do_upsert:query: + MERGE (n:`PROJECT GUTENBERG LITERARY ARCHIVE FOUNDATION`) SET n += $properties RETURN n - :result:{'entity_type': '"GEO"', 'description': '"The United States is a geographical location with specific copyright laws affecting the distribution of electronic works."', 'source_id': 'chunk-194cd9680f4967f48bea89678f7ece21'} -2024-10-29 13:34:57,702 - lightrag - INFO - _do_upsert:query: - MERGE (n:`PROJECT GUTENBERG LICENSE`) + :result:{'entity_type': '"ORGANIZATION"', 'description': '"The Project Gutenberg Literary Archive Foundation is a 501(c)(3) non-profit educational corporation dedicated to increasing access to public domain and licensed works that can be freely distributed in machine-readable form.""The Project Gutenberg Literary Archive Foundation is a non-profit organization established to ensure the free distribution of electronic works and maintain the Project Gutenberg™ collection for future generations.""The Project Gutenberg Literary Archive Foundation manages the Project Gutenberg trademark and oversees rights and licensing for the organization.""The Project Gutenberg Literary Archive Foundation is a non-profit educational corporation dedicated to increasing the availability of public domain and licensed works in machine-readable format.""The Project Gutenberg Literary Archive Foundation is a non-profit institution established to secure the future of Project Gutenberg\'s activities and contributions.""The Project Gutenberg Literary Archive Foundation is the organization that manages the Project Gutenberg trademark and oversees royalty payments and other related activities."', 'source_id': 'chunk-af4ae173c561e4594c5aea96198cce9dchunk-85f77f5e3a9aba01133555a2d20e2fd8chunk-c51b3dc560b408cce12cdfe5c9c94f57'} +2024-10-30 05:10:31,958 - lightrag - INFO - get_node:query:MATCH (n:`U.S. COPYRIGHT LAW`) RETURN n:result:"U.S. copyright law governs the protection of intellectual property in the United States, impacting how works can be distributed through Project Gutenberg™."', 'source_id': 'chunk-af4ae173c561e4594c5aea96198cce9dchunk-c51b3dc560b408cce12cdfe5c9c94f57'}> +2024-10-30 05:10:32,097 - lightrag - INFO - _do_upsert:query: + MERGE (n:`U.S. COPYRIGHT LAW`) SET n += $properties RETURN n - :result:{'entity_type': '"EVENT"', 'description': '"The Project Gutenberg License governs the use, copying, and distribution of the works contained within the Project Gutenberg digital library.""The Project Gutenberg License is a set of terms that govern the use and distribution of works associated with Project Gutenberg."', 'source_id': 'chunk-194cd9680f4967f48bea89678f7ece21chunk-af4ae173c561e4594c5aea96198cce9d'} -2024-10-29 13:34:57,973 - lightrag - INFO - _do_upsert:query: - MERGE (n:`TRANSCRIBER'S NOTE`) + :result:{'entity_type': '"CONCEPT"', 'description': '"U.S. Copyright Law governs the usage, distribution, and copyright status of literary works in the United States, affecting how Project Gutenberg operates.""U.S. Copyright Law is the legal framework that Project Gutenberg navigates in its efforts to provide access to electronic works, ensuring compliance with copyright protections.""U.S. Copyright Law refers to the legal framework governing copyright protection in the United States, which impacts the distribution and usage of literary works and other creative content.""U.S. copyright law governs the protection of intellectual property in the United States, impacting how works can be distributed through Project Gutenberg™."', 'source_id': 'chunk-af4ae173c561e4594c5aea96198cce9dchunk-c51b3dc560b408cce12cdfe5c9c94f57'} +2024-10-30 05:10:32,362 - lightrag - INFO - _do_upsert:query: + MERGE (n:`EBOOK`) SET n += $properties RETURN n - :result:{'entity_type': '"EVENT"', 'description': '"Transcriber\'s Note refers to the added content by the transcriber, indicating additional information or context regarding the work."', 'source_id': 'chunk-194cd9680f4967f48bea89678f7ece21'} -2024-10-29 13:34:58,241 - lightrag - INFO - _do_upsert:query: - MERGE (n:`END OF THE PROJECT GUTENBERG EBOOK A CHRISTMAS CAROL`) + :result:{'entity_type': '"EVENT"', 'description': '"An eBook refers to an electronic version of a book that can be accessed, displayed, or distributed according to the licensing terms of Project Gutenberg."', 'source_id': 'chunk-af4ae173c561e4594c5aea96198cce9d'} +2024-10-30 05:10:32,494 - lightrag - INFO - get_node:query:MATCH (n:`UNITED STATES`) RETURN n:result: +2024-10-30 05:10:32,627 - lightrag - INFO - _do_upsert:query: + MERGE (n:`UNITED STATES`) SET n += $properties RETURN n - :result:{'entity_type': '"EVENT"', 'description': '"END OF THE PROJECT GUTENBERG EBOOK A CHRISTMAS CAROL marks the conclusion of a particular eBook within the Project Gutenberg collection."', 'source_id': 'chunk-194cd9680f4967f48bea89678f7ece21'} -2024-10-29 13:34:58,508 - 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HART`) + :result:{'entity_type': '"ORGANIZATION"', 'description': '"The Project Gutenberg website serves as a hosting platform for eBooks, donation methods, and information regarding the Foundation\'s activities.""The Project Gutenberg website serves as the central platform for accessing eBooks, making donations, and providing information about the Foundation."', 'source_id': 'chunk-85f77f5e3a9aba01133555a2d20e2fd8'} +2024-10-30 05:10:39,905 - lightrag - INFO - _do_upsert:query: + MERGE (n:`WWW.GUTENBERG.ORG/CONTACT`) SET n += $properties RETURN n - :result:{'entity_type': '"PERSON"', 'description': '"Michael S. Hart is the founder of Project Gutenberg, known for creating a library of electronic works that can be freely shared, playing a significant role in the development of eBooks."', 'source_id': 'chunk-85f77f5e3a9aba01133555a2d20e2fd8'} -2024-10-29 13:35:05,801 - lightrag - INFO - _do_upsert:query: - MERGE (n:`EBOOKS`) + :result:{'entity_type': '"ORGANIZATION"', 'description': '"The contact page provides up-to-date information on how to reach the Project Gutenberg Literary Archive Foundation."', 'source_id': 'chunk-85f77f5e3a9aba01133555a2d20e2fd8'} +2024-10-30 05:10:40,174 - lightrag - INFO - _do_upsert:query: + MERGE (n:`WWW.GUTENBERG.ORG/DONATE`) SET n += $properties RETURN n - :result:{'entity_type': '"EVENT"', 'description': '"eBooks refer to the electronic books produced and distributed by Project Gutenberg, often created from printed editions confirmed as not protected by copyright."', 'source_id': 'chunk-85f77f5e3a9aba01133555a2d20e2fd8'} -2024-10-29 13:35:06,073 - lightrag - INFO - _do_upsert:query: - MERGE (n:`INTERNAL REVENUE SERVICE`) + :result:{'entity_type': '"ORGANIZATION"', 'description': '"The donation page on the Project Gutenberg website where individuals can contribute funds to support the Foundation\'s mission."', 'source_id': 'chunk-85f77f5e3a9aba01133555a2d20e2fd8'} +2024-10-30 05:10:40,440 - lightrag - INFO - _do_upsert:query: + MERGE (n:`PUBLIC DOMAIN`) SET n += $properties RETURN n - :result:{'entity_type': '"ORGANIZATION"', 'description': '"The Internal Revenue Service (IRS) is the U.S. government agency responsible for tax collection and tax law enforcement, granting tax-exempt status to organizations like the Project Gutenberg Literary Archive Foundation."', 'source_id': 'chunk-85f77f5e3a9aba01133555a2d20e2fd8'} -2024-10-29 13:35:06,348 - lightrag - INFO - _do_upsert:query: - MERGE (n:`CONTRIBUTIONS`) + :result:{'entity_type': '"CONCEPT"', 'description': '"Public Domain refers to works that are available for free use without copyright restrictions, a key focus of Project Gutenberg\'s mission to distribute such materials."', 'source_id': 'chunk-85f77f5e3a9aba01133555a2d20e2fd8'} +2024-10-30 05:10:46,253 - lightrag - INFO - _do_upsert:query: + MERGE (n:`BOB CRATCHIT`) SET n += $properties RETURN n - :result:{'entity_type': '"EVENT"', 'description': '"Contributions refer to the donations made to the Project Gutenberg Literary Archive Foundation, vital for its operational funding and tax-exempt status."', 'source_id': 'chunk-85f77f5e3a9aba01133555a2d20e2fd8'} -2024-10-29 13:35:06,620 - lightrag - INFO - _do_upsert:query: - MERGE (n:`U.S. FEDERAL LAWS`) + :result:{'entity_type': '"PERSON"', 'description': 'Bob Cratchit is a significant character in Charles Dickens\' "A Christmas Carol," serving as Scrooge\'s dedicated clerk and embodiment of the struggles faced by the working class. He is depicted as a humble family man, exhibiting warmth and joy at home despite his limited income. Cratchit demonstrates a sense of hope, particularly highlighted during the Christmas season, where he attempts to maintain positivity in the face of challenges.\n\nAs the father of Tiny Tim and head of the Cratchit family, Bob exemplifies deep familial love and concern, striving to care for his children amidst financial hardships. He is characterized by his kindness and emotional depth, particularly in caring for Tiny Tim\'s wellbeing. The Cratchit household is filled with a warm atmosphere, and Cratchit\'s joy and gratitude during their Christmas dinner starkly contrast with Scrooge\'s initial miserly demeanor.\n\nDespite his struggles, Bob Cratchit is portrayed as a voice of moderation and kindness, especially during family celebrations. His character captures the essence of duty and love, and he expresses happiness and appreciation during difficult times, showing affection for his children and a strong commitment to his family. His arrival late to work after celebrating Christmas highlights his trepidation toward Scrooge, yet it also reflects Scrooge\'s eventual generosity towards him, including an intention to support the Cratchit family.\n\nIn summary, Bob Cratchit is not only a devoted father and husband but also a representation of resilience and the importance of family, embodying the spirit of hope and joy amidst adversity in "A Christmas Carol."', 'source_id': 'chunk-7e2e7ebcc19a53b399dc03aded4743e7chunk-91572b3cd42786ba4cb2f180ca25cbf4chunk-d9aac3484185ac66045df92214d245d5chunk-b0f459f5af1c3a5e0b92cbe4ee48b77bchunk-83ac129dc9b56f84c46760d153d68e93chunk-94bea83e7153fc2064aa382b494936a1chunk-19d72c57ae3408758b18d2568e86dc6bchunk-1d4b58de5429cd1261370c231c8673e8chunk-9e3921da66da5d761ab73cd849af6c43chunk-503f0bfa5453467c7c61d160a3540ecachunk-90b95db5c53e4364a6bee36b7aa4d70f'} +2024-10-30 05:10:46,436 - lightrag - INFO - _do_upsert:query: + MERGE (n:`TINY TIM`) SET n += $properties RETURN n - :result:{'entity_type': '"CONCEPT"', 'description': '"U.S. federal laws set the framework and conditions under which non-profit organizations like the Project Gutenberg Literary Archive Foundation operate and maintain tax-exempt status."', 'source_id': 'chunk-85f77f5e3a9aba01133555a2d20e2fd8'} -2024-10-29 13:35:06,899 - lightrag - INFO - _do_upsert:query: - MERGE (n:`WEBSITE`) + :result:{'entity_type': '"PERSON"', 'description': 'Tiny Tim, whose full name is Tim Cratchit, is a young boy and the youngest son of Bob Cratchit in Charles Dickens\' "A Christmas Carol." He is a frail child who embodies innocence and vulnerability, serving as a poignant symbol of hope and resilience. Despite his health struggles, characterized by being a cripple, Tiny Tim maintains a joyful spirit and a positive outlook on life, which brings joy to those around him and highlights the warmth of the Christmas season.\n\nTiny Tim\'s character serves multiple significant roles within the narrative. He represents the harsh realities of illness and poverty faced by the Cratchit family, evoking compassion and drawing attention to their struggles. His presence is central to the family\'s emotional state, reflecting their hopes for the future and their love for one another. Tiny Tim\'s plight also becomes a focal point for Ebenezer Scrooge’s transformation, as Tiny Tim symbolizes the impact of Scrooge\'s change of heart—ultimately illustrating the themes of generosity and the value of family.\n\nThroughout the story, Tiny Tim participates in festive celebrations, including the Christmas toast, but remains acutely aware of his family\'s difficulties. He is cherished by his family, particularly by his father, Bob, who often expresses profound love and concern for his well-being. Tiny Tim\'s role as a representation of innocence and goodness resonates throughout "A Christmas Carol," leaving a lasting impression on both the characters in the story and the readers alike.', 'source_id': 'chunk-7e2e7ebcc19a53b399dc03aded4743e7chunk-91572b3cd42786ba4cb2f180ca25cbf4chunk-83ac129dc9b56f84c46760d153d68e93chunk-94bea83e7153fc2064aa382b494936a1chunk-19d72c57ae3408758b18d2568e86dc6bchunk-1d4b58de5429cd1261370c231c8673e8chunk-9e3921da66da5d761ab73cd849af6c43chunk-503f0bfa5453467c7c61d160a3540ecachunk-90b95db5c53e4364a6bee36b7aa4d70fchunk-8f738cb25d60a7dab782162d9d0a25ed'} +2024-10-30 05:10:47,726 - lightrag - INFO - _do_upsert:query: + MERGE (n:`CHRISTMAS`) SET n += $properties RETURN n - :result:{'entity_type': '"CONCEPT"', 'description': '"The Project Gutenberg website serves as the central platform for accessing eBooks, making donations, and providing information about the Foundation."', 'source_id': 'chunk-85f77f5e3a9aba01133555a2d20e2fd8'} -2024-10-29 13:35:11,419 - lightrag - INFO - _do_upsert:query: + :result:{'entity_type': '"EVENT"', 'description': 'Christmas is a significant and festive occasion that plays a crucial role in the narrative, especially seen through the experiences of the Cratchit family and the character of Ebenezer Scrooge. It embodies themes of joy, love, generosity, and community, highlighting the importance of family togetherness and the spirit of giving. For the Cratchit family, Christmas represents a time of celebration, warmth, and gratitude, filled with merriment and social gatherings, where they come together to create cherished memories despite their modest means.\n\nIn contrast, Scrooge initially dismisses Christmas, viewing it with cynicism and referring to it as a "humbug." His cold demeanor and rejection of the holiday stand in stark contrast to the joy and festive atmosphere surrounding it. Throughout the story, the holiday acts as a backdrop for his transformation, as he is confronted with his memories and reflections on joy, loneliness, and the relationships he has neglected. Christmas becomes pivotal in emphasizing the themes of redemption, generosity, and social responsibility, ultimately leading Scrooge to embrace the values he once rejected.\n\nThe holiday is depicted through scenes of communal spirit, with people engaging in festivities, celebrating with dances, and interacting joyfully in the streets. It emphasizes the positive impact of the holiday spirit on individuals and serves as a time of emotional reflection for Scrooge, marking a significant change in his character. By the end of the narrative, Christmas symbolizes a time of goodwill and transformation, as Scrooge decides to embrace the holiday\'s spirit of joy and giving, leaving behind his previous disdain and solitude. Overall, Christmas is central to the themes and character development within the story, highlighting the power of love, generosity, and community.', 'source_id': 'chunk-02baee20cc9463dbe08170a8e1043e32chunk-503f0bfa5453467c7c61d160a3540ecachunk-773d0df1dd25c356f7b771d780583e09chunk-8f738cb25d60a7dab782162d9d0a25edchunk-91614df5cb74cbe5e109a338a82041e9chunk-91572b3cd42786ba4cb2f180ca25cbf4chunk-99b0ec7f7e006561352b5d65e849611dchunk-c6c248858d1b13ab7ee9ca13c1aeed6bchunk-5dac41b3f9eeaf794f0147400b1718cdchunk-89777b838d5447c7bd1ec11282c4ee89chunk-94bea83e7153fc2064aa382b494936a1chunk-8590d9263cd2cd4fa583c432fc54e6c3chunk-1d4b58de5429cd1261370c231c8673e8chunk-54bdd22db1f84a965b5f4c06c9216d8dchunk-e7637ff18c5ded77a68cce0a87883fadchunk-90d5764e301321c087f5a8f78b73a145chunk-74e2466de2f67fd710ef2f20c0a8d9e0chunk-da2472b4ef2a535b62908f14d0fb0ca9chunk-43c9bee23adfa77aa9dedd22401bba7d'} +2024-10-30 05:10:48,506 - lightrag - INFO - _do_upsert:query: MERGE (n:`SCROOGE`) SET n += $properties RETURN n - :result:{'entity_type': '"PERSON"', 'description': "Scrooge is a central character known for his miserly disposition, cold-hearted nature, and disdain for Christmas. He initially embodies greed, focusing solely on business and exhibiting a lack of compassion for others. Throughout the story, Scrooge undergoes a profound transformation as he reflects on his life and the impact of his past decisions, particularly through the visits of spirits, including the ghost of his former partner, Jacob Marley.\n\nScrooge is depicted as a solitary figure who experiences a journey of self-discovery and redemption. He grapples with feelings of horror and remorse as he witnesses events related to the deceased and contemplates his own mortality, illustrating his internal struggle. His reflections often lead him to recall his lonely childhood and the mistakes that have shaped his pessimistic worldview.\n\nThe encounters with the spirits guide Scrooge through different scenes, revealing both joy and hardship during the Christmas season. These transformative experiences prompt him to reconsider his relationships, especially in relation to the Cratchit family and Tiny Tim, evoking deep emotions such as grief, regret, and longing for connection. Scrooge's character evolves from a skeptical, apathetic man to someone who embraces generosity, compassion, and a desire to make amends.\n\nBy the end of the narrative, Scrooge's transformation is marked by a newfound joy and determination, as he seeks to contribute positively to the lives of those around him, ultimately reshaping his previous views on Christmas and community.", 'source_id': 'chunk-bb21d58d36c6306fd8810ddd51c4a971chunk-b2f98bc7abb0c67d4c86055c7fd72218chunk-91614df5cb74cbe5e109a338a82041e9chunk-8f738cb25d60a7dab782162d9d0a25edchunk-e7637ff18c5ded77a68cce0a87883fadchunk-d9aac3484185ac66045df92214d245d5chunk-90b95db5c53e4364a6bee36b7aa4d70fchunk-89777b838d5447c7bd1ec11282c4ee89chunk-c6c248858d1b13ab7ee9ca13c1aeed6bchunk-5dac41b3f9eeaf794f0147400b1718cdchunk-773d0df1dd25c356f7b771d780583e09chunk-843b5b2f944c7413d9ca876e2e2f151fchunk-f1a4fbcf1ed86864b9bfd5e8dba4c683chunk-359187e7571bda4b0b08b2e0b6581e52chunk-503f0bfa5453467c7c61d160a3540ecachunk-9c43dac2fcd5b578242d907ea6f8fc7bchunk-b0f459f5af1c3a5e0b92cbe4ee48b77bchunk-1aa50206d02ed89418f65f97c6441d1cchunk-54bdd22db1f84a965b5f4c06c9216d8dchunk-cb661c37436355ccec2769b1d0350c5fchunk-90d5764e301321c087f5a8f78b73a145chunk-91572b3cd42786ba4cb2f180ca25cbf4chunk-da2472b4ef2a535b62908f14d0fb0ca9chunk-99b0ec7f7e006561352b5d65e849611dchunk-43c9bee23adfa77aa9dedd22401bba7dchunk-83ac129dc9b56f84c46760d153d68e93chunk-e1f29eeadc1d8ab46dc8a0bbd3c56b64chunk-8590d9263cd2cd4fa583c432fc54e6c3chunk-02baee20cc9463dbe08170a8e1043e32chunk-94bea83e7153fc2064aa382b494936a1chunk-74e2466de2f67fd710ef2f20c0a8d9e0chunk-19d72c57ae3408758b18d2568e86dc6b'} -2024-10-29 13:35:11,616 - lightrag - INFO - _check_edge_existence:query:MATCH (a:`A CHRISTMAS CAROL`)-[r]-(b:`PROJECT GUTENBERG`) RETURN COUNT(r) > 0 AS edgeExists:result:False -2024-10-29 13:35:11,798 - lightrag - INFO - _check_node_exists:query:MATCH (n:`A CHRISTMAS CAROL`) RETURN count(n) > 0 AS node_exists:result:True -2024-10-29 13:35:11,973 - lightrag - INFO - _check_node_exists:query:MATCH (n:`PROJECT GUTENBERG`) RETURN count(n) > 0 AS node_exists:result:True -2024-10-29 13:35:12,166 - lightrag - INFO - _do_upsert_edge:query: - MATCH (source:`A CHRISTMAS CAROL`) + :result:{'entity_type': '"PERSON"', 'description': "Scrooge is a central character in the narrative, undergoing a profound transformation that highlights his emotional turmoil and reflective journey. Initially depicted as a miserly and cold-hearted individual, Scrooge embodies greed and displays a profound disdain for Christmas, focusing solely on his business and lacking compassion for others. He is characterized as a solitary figure, often referred to in negative terms, such as the “Ogre of the family” or as a “tight-fisted old man.” His reluctance to engage in charitable acts and his indifference towards the festive spirit of Christmas create a stark contrast to the transformation he ultimately experiences.\n\nThroughout the story, Scrooge is confronted by supernatural elements, notably the ghost of his former partner, Jacob Marley, who warns him of the consequences of his actions. This encounter sparks a series of reflections prompted by visits from three spirits, which guide him through scenes from his past, present, and future. These experiences evoke feelings of horror, agitation, and regret as he contemplates the consequences of his miserliness and the moral implications of his actions. He recalls his lonely childhood and the decisions that have shaped his pessimistic worldview, prompting deep emotional vulnerability.\n\nAs he interacts with the spirits, Scrooge witnesses both joy and hardship, particularly relating to the Cratchit family and Tiny Tim, igniting feelings of grief, longing for connection, and a recognition of his own mortality. This journey leads him to acknowledge his past mistakes and consider the impacts of his life choices on others, ultimately fostering an internal struggle between his prior skepticism and a budding capacity for empathy.\n\nBy the narrative's conclusion, Scrooge's character has undergone a significant transformation. He emerges from his experiences with a newfound joy and a commitment to generosity and compassion. He embraces the spirit of Christmas, taking steps to positively impact the lives of those around him, particularly Bob Cratchit and his family. Scrooge’s evolution from a grumpy, indifferent man to one filled with goodwill and the spirit of Christmas is central to the narrative, illustrating the themes of redemption, compassion, and the importance of community.", 'source_id': 'chunk-d9aac3484185ac66045df92214d245d5chunk-c7b10789a9cb0af6c553730b29bd9034chunk-b0f459f5af1c3a5e0b92cbe4ee48b77bchunk-02baee20cc9463dbe08170a8e1043e32chunk-bb21d58d36c6306fd8810ddd51c4a971chunk-503f0bfa5453467c7c61d160a3540ecachunk-1aa50206d02ed89418f65f97c6441d1cchunk-9c43dac2fcd5b578242d907ea6f8fc7bchunk-773d0df1dd25c356f7b771d780583e09chunk-843b5b2f944c7413d9ca876e2e2f151fchunk-f1a4fbcf1ed86864b9bfd5e8dba4c683chunk-8f738cb25d60a7dab782162d9d0a25edchunk-91614df5cb74cbe5e109a338a82041e9chunk-83ac129dc9b56f84c46760d153d68e93chunk-359187e7571bda4b0b08b2e0b6581e52chunk-cb661c37436355ccec2769b1d0350c5fchunk-91572b3cd42786ba4cb2f180ca25cbf4chunk-99b0ec7f7e006561352b5d65e849611dchunk-e1f29eeadc1d8ab46dc8a0bbd3c56b64chunk-c6c248858d1b13ab7ee9ca13c1aeed6bchunk-5dac41b3f9eeaf794f0147400b1718cdchunk-89777b838d5447c7bd1ec11282c4ee89chunk-b2f98bc7abb0c67d4c86055c7fd72218chunk-94bea83e7153fc2064aa382b494936a1chunk-8590d9263cd2cd4fa583c432fc54e6c3chunk-54bdd22db1f84a965b5f4c06c9216d8dchunk-90b95db5c53e4364a6bee36b7aa4d70fchunk-e7637ff18c5ded77a68cce0a87883fadchunk-90d5764e301321c087f5a8f78b73a145chunk-74e2466de2f67fd710ef2f20c0a8d9e0chunk-da2472b4ef2a535b62908f14d0fb0ca9chunk-19d72c57ae3408758b18d2568e86dc6bchunk-43c9bee23adfa77aa9dedd22401bba7d'} +2024-10-30 05:10:48,722 - lightrag - INFO - _check_edge_existence:query:MATCH (a:`A CHRISTMAS CAROL`)-[r]-(b:`PROJECT GUTENBERG`) RETURN COUNT(r) > 0 AS edgeExists:result:True +2024-10-30 05:10:48,879 - lightrag - INFO - get_edge:query: + MATCH (source:`A CHRISTMAS CAROL`)-[r]-(target:`PROJECT GUTENBERG`) + RETURN r + :result:, ) type='DIRECTED' properties={'keywords': '"publication, accessibility"', 'description': '"A Christmas Carol is published and distributed freely through Project Gutenberg, making it accessible to a global audience."', 'weight': 9.0, 'source_id': 'chunk-9e3921da66da5d761ab73cd849af6c43'}> +2024-10-30 05:10:49,042 - lightrag - INFO - _check_edge_existence:query:MATCH (a:`A CHRISTMAS CAROL`)-[r]-(b:`CHARLES DICKENS`) RETURN COUNT(r) > 0 AS edgeExists:result:True +2024-10-30 05:10:49,203 - lightrag - INFO - get_edge:query: + MATCH (source:`A CHRISTMAS CAROL`)-[r]-(target:`CHARLES DICKENS`) + RETURN r + :result:, ) type='DIRECTED' properties={'keywords': '"author, literary impact"', 'description': '"Charles Dickens authored A Christmas Carol, which reflects his views on Victorian society and social issues."', 'weight': 10.0, 'source_id': 'chunk-9e3921da66da5d761ab73cd849af6c43'}> +2024-10-30 05:10:49,352 - lightrag - INFO - _check_edge_existence:query:MATCH (a:`A CHRISTMAS CAROL`)-[r]-(b:`ARTHUR RACKHAM`) RETURN COUNT(r) > 0 AS edgeExists:result:True +2024-10-30 05:10:49,493 - lightrag - INFO - get_edge:query: + MATCH (source:`A CHRISTMAS CAROL`)-[r]-(target:`ARTHUR RACKHAM`) + RETURN r + :result:, ) type='DIRECTED' properties={'keywords': '"illustration, artistic contribution"', 'description': '"Arthur Rackham illustrated A Christmas Carol, enhancing the visual experience of Dickens\' narrative."', 'weight': 8.0, 'source_id': 'chunk-9e3921da66da5d761ab73cd849af6c43'}> +2024-10-30 05:10:49,644 - lightrag - INFO - _check_edge_existence:query:MATCH (a:`BOB CRATCHIT`)-[r]-(b:`EBENEZER SCROOGE`) RETURN COUNT(r) > 0 AS edgeExists:result:True +2024-10-30 05:10:49,789 - lightrag - INFO - get_edge:query: + MATCH (source:`BOB CRATCHIT`)-[r]-(target:`EBENEZER SCROOGE`) + RETURN r + :result:, ) type='DIRECTED' properties={'keywords': '"workplace dynamics, social contrast"', 'description': '"Bob Cratchit works for Ebenezer Scrooge, embodying the struggles of the working class in contrast to Scrooge\'s miserliness."', 'weight': 7.0, 'source_id': 'chunk-9e3921da66da5d761ab73cd849af6c43'}> +2024-10-30 05:10:49,941 - lightrag - INFO - _check_edge_existence:query:MATCH (a:`BOB CRATCHIT`)-[r]-(b:`TINY TIM`) RETURN COUNT(r) > 0 AS edgeExists:result:True +2024-10-30 05:10:50,083 - lightrag - INFO - get_edge:query: + MATCH (source:`BOB CRATCHIT`)-[r]-(target:`TINY TIM`) + RETURN r + :result:, ) type='DIRECTED' properties={'keywords': '"family bond, care""family bond, love""family love, vulnerability""family, struggle""family, support""father-son bond, care"', 'description': '"Bob Cratchit deeply cares for Tiny Tim, demonstrating emotional support and love, especially in moments of distress.""Bob Cratchit expresses love and concern for his son Tiny Tim during the Christmas dinner, highlighting a strong familial bond.""Bob Cratchit is Tiny Tim\'s father, and the turkey Scrooge plans to send will impact Tiny Tim\'s well-being.""Bob Cratchit is Tiny Tim\'s father, and their relationship highlights the theme of family struggle and love, especially during Christmas.""Bob Cratchit shows deep care for Tiny Tim, helping him and expressing pride in his strength and character despite challenges.""Bob Cratchit\'s concern for Tiny Tim illustrates the deep familial love and the challenges facing the Cratchit family."', 'weight': 48.0, 'source_id': 'chunk-83ac129dc9b56f84c46760d153d68e93chunk-503f0bfa5453467c7c61d160a3540ecachunk-1d4b58de5429cd1261370c231c8673e8chunk-90b95db5c53e4364a6bee36b7aa4d70fchunk-94bea83e7153fc2064aa382b494936a1chunk-7e2e7ebcc19a53b399dc03aded4743e7'}> +2024-10-30 05:10:50,233 - lightrag - INFO - _check_edge_existence:query:MATCH (a:`EBENEZER SCROOGE`)-[r]-(b:`MR. FEZZIWIG`) RETURN COUNT(r) > 0 AS edgeExists:result:False +2024-10-30 05:10:50,415 - lightrag - INFO - _check_node_exists:query:MATCH (n:`EBENEZER SCROOGE`) RETURN count(n) > 0 AS node_exists:result:True +2024-10-30 05:10:50,591 - lightrag - INFO - _check_node_exists:query:MATCH (n:`MR. FEZZIWIG`) RETURN count(n) > 0 AS node_exists:result:True +2024-10-30 05:10:50,855 - lightrag - INFO - _do_upsert_edge:query: + MATCH (source:`EBENEZER SCROOGE`) WITH source - MATCH (target:`PROJECT GUTENBERG`) + MATCH (target:`MR. FEZZIWIG`) MERGE (source)-[r:DIRECTED]->(target) SET r += $properties RETURN r :result:None -2024-10-29 13:35:12,353 - lightrag - INFO - _check_edge_existence:query:MATCH (a:`A CHRISTMAS CAROL`)-[r]-(b:`CHARLES DICKENS`) RETURN COUNT(r) > 0 AS edgeExists:result:False -2024-10-29 13:35:12,529 - lightrag - INFO - _check_node_exists:query:MATCH (n:`A CHRISTMAS CAROL`) RETURN count(n) > 0 AS node_exists:result:True -2024-10-29 13:35:12,695 - lightrag - INFO - _check_node_exists:query:MATCH (n:`CHARLES DICKENS`) RETURN count(n) > 0 AS node_exists:result:True -2024-10-29 13:35:12,889 - lightrag - INFO - _do_upsert_edge:query: - MATCH (source:`A CHRISTMAS CAROL`) +2024-10-30 05:10:51,113 - lightrag - INFO - _check_edge_existence:query:MATCH (a:`GHOST OF CHRISTMAS PAST`)-[r]-(b:`SCROOGE`) RETURN COUNT(r) > 0 AS edgeExists:result:True +2024-10-30 05:10:51,251 - lightrag - INFO - get_edge:query: + MATCH (source:`GHOST OF CHRISTMAS PAST`)-[r]-(target:`SCROOGE`) + RETURN r + :result:, ) type='DIRECTED' properties={'keywords': '"reflection, past influence"', 'description': '"Scrooge engages with the Ghost of Christmas Past to explore his earlier life, seeking insight into his current state."', 'weight': 8.0, 'source_id': 'chunk-bb21d58d36c6306fd8810ddd51c4a971'}> +2024-10-30 05:10:51,406 - lightrag - INFO - _check_edge_existence:query:MATCH (a:`GHOST OF CHRISTMAS PRESENT`)-[r]-(b:`SCROOGE`) RETURN COUNT(r) > 0 AS edgeExists:result:True +2024-10-30 05:10:51,594 - lightrag - INFO - get_edge:query: + MATCH (source:`GHOST OF CHRISTMAS PRESENT`)-[r]-(target:`SCROOGE`) + RETURN r + :result:, ) type='DIRECTED' properties={'keywords': '"transformation, mentoring"', 'description': '"Scrooge is led by the Ghost of Christmas Present, who teaches him valuable lessons about generosity and compassion."', 'weight': 10.0, 'source_id': 'chunk-843b5b2f944c7413d9ca876e2e2f151f'}> +2024-10-30 05:10:51,781 - lightrag - INFO - _check_edge_existence:query:MATCH (a:`GHOST OF CHRISTMAS YET TO COME`)-[r]-(b:`SCROOGE`) RETURN COUNT(r) > 0 AS edgeExists:result:False +2024-10-30 05:10:51,959 - lightrag - INFO - _check_node_exists:query:MATCH (n:`GHOST OF CHRISTMAS YET TO COME`) RETURN count(n) > 0 AS node_exists:result:True +2024-10-30 05:10:52,136 - lightrag - INFO - _check_node_exists:query:MATCH (n:`SCROOGE`) RETURN count(n) > 0 AS node_exists:result:True +2024-10-30 05:10:52,323 - lightrag - INFO - _do_upsert_edge:query: + MATCH (source:`GHOST OF CHRISTMAS YET TO COME`) WITH source - MATCH (target:`CHARLES DICKENS`) + MATCH (target:`SCROOGE`) MERGE (source)-[r:DIRECTED]->(target) SET r += $properties RETURN r :result:None -2024-10-29 13:35:13,096 - lightrag - INFO - _check_edge_existence:query:MATCH (a:`A CHRISTMAS CAROL`)-[r]-(b:`ARTHUR RACKHAM`) RETURN COUNT(r) > 0 AS edgeExists:result:False -2024-10-29 13:35:13,259 - lightrag - INFO - _check_node_exists:query:MATCH (n:`A CHRISTMAS CAROL`) RETURN count(n) > 0 AS node_exists:result:True -2024-10-29 13:35:13,441 - lightrag - INFO - _check_node_exists:query:MATCH (n:`ARTHUR RACKHAM`) RETURN count(n) > 0 AS node_exists:result:True -2024-10-29 13:35:13,632 - lightrag - INFO - _do_upsert_edge:query: - MATCH (source:`A CHRISTMAS CAROL`) +2024-10-30 05:10:52,529 - lightrag - INFO - _check_edge_existence:query:MATCH (a:`FRED`)-[r]-(b:`SCROOGE`) RETURN COUNT(r) > 0 AS edgeExists:result:True +2024-10-30 05:10:52,668 - lightrag - INFO - get_edge:query: + MATCH (source:`FRED`)-[r]-(target:`SCROOGE`) + RETURN r + :result:, ) type='DIRECTED' properties={'keywords': '"family connection, goodwill""family connection, reconciliation""family, transformation""rejection, familial dynamics"', 'description': '"Scrooge and Fred share a familial bond, with Fred expressing goodwill and celebrating Scrooge despite his uncle\'s previous behavior.""Scrooge expresses a desire to visit Fred, which signifies a reconciliatory gesture toward his family.""Scrooge surprises Fred with his unexpected visit, indicating a shift in their familial relationship and Scrooge\'s attitude toward family.""Scrooge\'s interaction with Fred emphasizes his rejection of familial warmth during the Christmas season."', 'weight': 30.0, 'source_id': 'chunk-8f738cb25d60a7dab782162d9d0a25edchunk-94bea83e7153fc2064aa382b494936a1chunk-89777b838d5447c7bd1ec11282c4ee89chunk-e7637ff18c5ded77a68cce0a87883fad'}> +2024-10-30 05:10:52,813 - lightrag - INFO - _check_edge_existence:query:MATCH (a:`FRED`)-[r]-(b:`GHOST OF CHRISTMAS PRESENT`) RETURN COUNT(r) > 0 AS edgeExists:result:False +2024-10-30 05:10:52,989 - lightrag - INFO - _check_node_exists:query:MATCH (n:`FRED`) RETURN count(n) > 0 AS node_exists:result:True +2024-10-30 05:10:53,159 - lightrag - INFO - _check_node_exists:query:MATCH (n:`GHOST OF CHRISTMAS PRESENT`) RETURN count(n) > 0 AS node_exists:result:True +2024-10-30 05:10:53,347 - lightrag - INFO - _do_upsert_edge:query: + MATCH (source:`FRED`) WITH source - MATCH (target:`ARTHUR RACKHAM`) + MATCH (target:`GHOST OF CHRISTMAS PRESENT`) MERGE (source)-[r:DIRECTED]->(target) SET r += $properties RETURN r :result:None -2024-10-29 13:35:13,820 - lightrag - INFO - _check_edge_existence:query:MATCH (a:`EBENEZER SCROOGE`)-[r]-(b:`TINY TIM`) RETURN COUNT(r) > 0 AS edgeExists:result:False -2024-10-29 13:35:13,995 - lightrag - INFO - _check_node_exists:query:MATCH (n:`EBENEZER SCROOGE`) RETURN count(n) > 0 AS node_exists:result:True -2024-10-29 13:35:14,165 - lightrag - INFO - _check_node_exists:query:MATCH (n:`TINY TIM`) RETURN count(n) > 0 AS node_exists:result:True -2024-10-29 13:35:14,359 - lightrag - INFO - _do_upsert_edge:query: - MATCH (source:`EBENEZER SCROOGE`) +2024-10-30 05:10:53,545 - lightrag - INFO - _check_edge_existence:query:MATCH (a:`BOB CRATCHIT`)-[r]-(b:`MRS. CRATCHIT`) RETURN COUNT(r) > 0 AS edgeExists:result:True +2024-10-30 05:10:53,683 - lightrag - INFO - get_edge:query: + MATCH (source:`BOB CRATCHIT`)-[r]-(target:`MRS. CRATCHIT`) + RETURN r + :result:, ) type='DIRECTED' properties={'keywords': '"family unity, celebration""partnership, family unity"', 'description': '"Bob and Mrs. Cratchit represent a family working together to create a festive and warm environment despite their limited means.""Mrs. Cratchit supports Bob Cratchit in his parenting efforts and encourages the family’s unity during challenging times."', 'weight': 16.0, 'source_id': 'chunk-1d4b58de5429cd1261370c231c8673e8chunk-b0f459f5af1c3a5e0b92cbe4ee48b77b'}> +2024-10-30 05:10:53,826 - lightrag - INFO - _check_edge_existence:query:MATCH (a:`GHOST OF CHRISTMAS PRESENT`)-[r]-(b:`TINY TIM`) RETURN COUNT(r) > 0 AS edgeExists:result:False +2024-10-30 05:10:53,989 - lightrag - INFO - _check_node_exists:query:MATCH (n:`GHOST OF CHRISTMAS PRESENT`) RETURN count(n) > 0 AS node_exists:result:True +2024-10-30 05:10:54,160 - lightrag - INFO - _check_node_exists:query:MATCH (n:`TINY TIM`) RETURN count(n) > 0 AS node_exists:result:True +2024-10-30 05:10:54,344 - lightrag - INFO - _do_upsert_edge:query: + MATCH (source:`GHOST OF CHRISTMAS PRESENT`) WITH source MATCH (target:`TINY TIM`) MERGE (source)-[r:DIRECTED]->(target) SET r += $properties RETURN r :result:None -2024-10-29 13:35:14,553 - lightrag - INFO - _check_edge_existence:query:MATCH (a:`BOB CRATCHIT`)-[r]-(b:`EBENEZER SCROOGE`) RETURN COUNT(r) > 0 AS edgeExists:result:False -2024-10-29 13:35:14,726 - lightrag - INFO - _check_node_exists:query:MATCH (n:`BOB CRATCHIT`) RETURN count(n) > 0 AS node_exists:result:True -2024-10-29 13:35:14,896 - lightrag - INFO - _check_node_exists:query:MATCH (n:`EBENEZER SCROOGE`) RETURN count(n) > 0 AS node_exists:result:True -2024-10-29 13:35:15,091 - lightrag - INFO - _do_upsert_edge:query: - MATCH (source:`BOB CRATCHIT`) +2024-10-30 05:10:54,536 - lightrag - INFO - _check_edge_existence:query:MATCH (a:`BOB CRATCHIT`)-[r]-(b:`MARTHA CRATCHIT`) RETURN COUNT(r) > 0 AS edgeExists:result:True +2024-10-30 05:10:54,675 - lightrag - INFO - get_edge:query: + MATCH (source:`BOB CRATCHIT`)-[r]-(target:`MARTHA CRATCHIT`) + RETURN r + :result:, ) type='DIRECTED' properties={'keywords': '"family bond, affection"', 'description': '"Martha shows affection for Bob Cratchit upon her arrival, indicating a warm father-daughter relationship within the family."', 'weight': 7.0, 'source_id': 'chunk-7e2e7ebcc19a53b399dc03aded4743e7'}> +2024-10-30 05:10:54,820 - lightrag - INFO - _check_edge_existence:query:MATCH (a:`MR. FEZZIWIG`)-[r]-(b:`SCROOGE`) RETURN COUNT(r) > 0 AS edgeExists:result:False +2024-10-30 05:10:55,006 - lightrag - INFO - _check_node_exists:query:MATCH (n:`MR. FEZZIWIG`) RETURN count(n) > 0 AS node_exists:result:True +2024-10-30 05:10:55,180 - lightrag - INFO - _check_node_exists:query:MATCH (n:`SCROOGE`) RETURN count(n) > 0 AS node_exists:result:True +2024-10-30 05:10:55,361 - lightrag - INFO - _do_upsert_edge:query: + MATCH (source:`MR. FEZZIWIG`) WITH source - MATCH (target:`EBENEZER SCROOGE`) + MATCH (target:`SCROOGE`) MERGE (source)-[r:DIRECTED]->(target) SET r += $properties RETURN r :result:None -2024-10-29 13:35:15,279 - lightrag - INFO - _check_edge_existence:query:MATCH (a:`EBENEZER SCROOGE`)-[r]-(b:`GHOST OF CHRISTMAS PAST`) RETURN COUNT(r) > 0 AS edgeExists:result:False -2024-10-29 13:35:15,448 - lightrag - INFO - _check_node_exists:query:MATCH (n:`EBENEZER SCROOGE`) RETURN count(n) > 0 AS node_exists:result:True -2024-10-29 13:35:15,621 - lightrag - INFO - _check_node_exists:query:MATCH (n:`GHOST OF CHRISTMAS PAST`) RETURN count(n) > 0 AS node_exists:result:True -2024-10-29 13:35:15,804 - lightrag - INFO - _do_upsert_edge:query: - MATCH (source:`EBENEZER SCROOGE`) +2024-10-30 05:10:55,575 - lightrag - INFO - _check_edge_existence:query:MATCH (a:`GHOST OF JACOB MARLEY`)-[r]-(b:`SCROOGE`) RETURN COUNT(r) > 0 AS edgeExists:result:False +2024-10-30 05:10:55,771 - lightrag - INFO - _check_node_exists:query:MATCH (n:`GHOST OF JACOB MARLEY`) RETURN count(n) > 0 AS node_exists:result:True +2024-10-30 05:10:55,937 - lightrag - INFO - _check_node_exists:query:MATCH (n:`SCROOGE`) RETURN count(n) > 0 AS node_exists:result:True +2024-10-30 05:10:56,123 - lightrag - INFO - _do_upsert_edge:query: + MATCH (source:`GHOST OF JACOB MARLEY`) WITH source - MATCH (target:`GHOST OF CHRISTMAS PAST`) + MATCH (target:`SCROOGE`) MERGE (source)-[r:DIRECTED]->(target) SET r += $properties RETURN r :result:None -2024-10-29 13:35:15,996 - lightrag - INFO - _check_edge_existence:query:MATCH (a:`EBENEZER SCROOGE`)-[r]-(b:`GHOST OF CHRISTMAS PRESENT`) RETURN COUNT(r) > 0 AS edgeExists:result:False -2024-10-29 13:35:16,161 - lightrag - INFO - _check_node_exists:query:MATCH (n:`EBENEZER SCROOGE`) RETURN count(n) > 0 AS node_exists:result:True -2024-10-29 13:35:16,334 - lightrag - INFO - _check_node_exists:query:MATCH (n:`GHOST OF CHRISTMAS PRESENT`) RETURN count(n) > 0 AS node_exists:result:True -2024-10-29 13:35:16,522 - lightrag - INFO - _do_upsert_edge:query: - MATCH (source:`EBENEZER SCROOGE`) +2024-10-30 05:10:56,312 - lightrag - INFO - _check_edge_existence:query:MATCH (a:`FAN`)-[r]-(b:`SCROOGE`) RETURN COUNT(r) > 0 AS edgeExists:result:False +2024-10-30 05:10:56,486 - lightrag - INFO - _check_node_exists:query:MATCH (n:`FAN`) RETURN count(n) > 0 AS node_exists:result:True +2024-10-30 05:10:56,648 - lightrag - INFO - _check_node_exists:query:MATCH (n:`SCROOGE`) RETURN count(n) > 0 AS node_exists:result:True +2024-10-30 05:10:56,842 - lightrag - INFO - _do_upsert_edge:query: + MATCH (source:`FAN`) WITH source - MATCH (target:`GHOST OF CHRISTMAS PRESENT`) + MATCH (target:`SCROOGE`) MERGE (source)-[r:DIRECTED]->(target) SET r += $properties RETURN r :result:None -2024-10-29 13:35:16,705 - lightrag - INFO - _check_edge_existence:query:MATCH (a:`EBENEZER SCROOGE`)-[r]-(b:`GHOST OF CHRISTMAS YET TO COME`) RETURN COUNT(r) > 0 AS edgeExists:result:False -2024-10-29 13:35:16,868 - lightrag - INFO - _check_node_exists:query:MATCH (n:`EBENEZER SCROOGE`) RETURN count(n) > 0 AS node_exists:result:True -2024-10-29 13:35:17,042 - lightrag - INFO - _check_node_exists:query:MATCH (n:`GHOST OF CHRISTMAS YET TO COME`) RETURN count(n) > 0 AS node_exists:result:True -2024-10-29 13:35:17,239 - lightrag - INFO - _do_upsert_edge:query: - MATCH (source:`EBENEZER SCROOGE`) +2024-10-30 05:10:57,032 - lightrag - INFO - _check_edge_existence:query:MATCH (a:`MR. FEZZIWIG`)-[r]-(b:`MRS. FEZZIWIG`) RETURN COUNT(r) > 0 AS edgeExists:result:False +2024-10-30 05:10:57,192 - lightrag - INFO - _check_node_exists:query:MATCH (n:`MR. FEZZIWIG`) RETURN count(n) > 0 AS node_exists:result:True +2024-10-30 05:10:57,364 - lightrag - INFO - _check_node_exists:query:MATCH (n:`MRS. FEZZIWIG`) RETURN count(n) > 0 AS node_exists:result:True +2024-10-30 05:10:57,551 - lightrag - INFO - _do_upsert_edge:query: + MATCH (source:`MR. FEZZIWIG`) WITH source - MATCH (target:`GHOST OF CHRISTMAS YET TO COME`) + MATCH (target:`MRS. FEZZIWIG`) MERGE (source)-[r:DIRECTED]->(target) SET r += $properties RETURN r :result:None -2024-10-29 13:35:17,429 - lightrag - INFO - _check_edge_existence:query:MATCH (a:`FEZZIWIG`)-[r]-(b:`MRS. FEZZIWIG`) RETURN COUNT(r) > 0 AS edgeExists:result:False -2024-10-29 13:35:17,603 - lightrag - INFO - _check_node_exists:query:MATCH (n:`FEZZIWIG`) RETURN count(n) > 0 AS node_exists:result:True -2024-10-29 13:35:17,771 - lightrag - INFO - _check_node_exists:query:MATCH (n:`MRS. FEZZIWIG`) RETURN count(n) > 0 AS node_exists:result:True -2024-10-29 13:35:17,957 - lightrag - INFO - _do_upsert_edge:query: - MATCH (source:`FEZZIWIG`) +2024-10-30 05:10:57,735 - lightrag - INFO - _check_edge_existence:query:MATCH (a:`FEZZIWIG`)-[r]-(b:`SCROOGE`) RETURN COUNT(r) > 0 AS edgeExists:result:True +2024-10-30 05:10:57,872 - lightrag - INFO - get_edge:query: + MATCH (source:`FEZZIWIG`)-[r]-(target:`SCROOGE`) + RETURN r + :result:, ) type='DIRECTED' properties={'keywords': '"kindness, mentorship""reflection, influence"', 'description': '"Scrooge reflects positively on Fezziwig\'s past actions, acknowledging the happiness and gratitude he inspired in people.""Scrooge reminisces about Fezziwig\'s kindness during his apprenticeship, comparing his past self to his current state."', 'weight': 16.0, 'source_id': 'chunk-b2f98bc7abb0c67d4c86055c7fd72218chunk-c6c248858d1b13ab7ee9ca13c1aeed6b'}> +2024-10-30 05:10:58,021 - lightrag - INFO - _check_edge_existence:query:MATCH (a:`MARLEY`)-[r]-(b:`SCROOGE`) RETURN COUNT(r) > 0 AS edgeExists:result:True +2024-10-30 05:10:58,157 - lightrag - INFO - get_edge:query: + MATCH (source:`MARLEY`)-[r]-(target:`SCROOGE`) + RETURN r + :result:, ) type='DIRECTED' properties={'keywords': '"mourning, partnership""past influence, personal history""redemption, confrontation""supernatural connection, past relationships"', 'description': '"Marley’s influence and past relationship with Scrooge is indicated, suggesting a connection that impacts Scrooge\'s character growth.""Scrooge is deeply affected by Marley\'s death, illustrated through his role as the sole executor and mourner of Marley.""Scrooge reflects on Marley, revealing his past connection and the haunting aspect of Marley\'s death, which influences Scrooge\'s character arc.""Scrooge\'s encounter with Marley’s Ghost serves as a confrontation with his past self and the life choices he regrets, depicting the theme of redemption."', 'weight': 32.0, 'source_id': 'chunk-d9aac3484185ac66045df92214d245d5chunk-843b5b2f944c7413d9ca876e2e2f151fchunk-89777b838d5447c7bd1ec11282c4ee89chunk-9c43dac2fcd5b578242d907ea6f8fc7b'}> +2024-10-30 05:10:58,296 - lightrag - INFO - _check_edge_existence:query:MATCH (a:`CHRISTMAS`)-[r]-(b:`SCROOGE`) RETURN COUNT(r) > 0 AS edgeExists:result:True +2024-10-30 05:10:58,433 - lightrag - INFO - get_edge:query: + MATCH (source:`CHRISTMAS`)-[r]-(target:`SCROOGE`) + RETURN r + :result:, ) type='DIRECTED' properties={'keywords': '"character development, festive spirit""conflict, holiday spirit""contrast, seasonal significance""disconnection, festive spirit""holiday significance, reflection""reflection, redemption""seasonal significance, emotional reflection""transformation, festive spirit""transformation, holiday significance""transformation, holiday spirit"', 'description': '"Christmas is a central theme that invokes Scrooge\'s memories of his past, his feelings of loneliness, and his desire to connect.""Christmas serves as a focal point for Scrooge\'s emotional reflections on joy and his disconnect from societal celebrations.""Christmas serves as the catalyst for Scrooge\'s transformation, highlighting themes of giving and compassion.""Scrooge expresses disdain for Christmas, viewing it as a burden rather than a celebration.""Scrooge\'s attitude towards Christmas highlights his disconnection from the festive spirit and charity associated with the holiday.""Scrooge\'s character contrasts sharply with the joy of Christmas, highlighting his disdain for the festive season.""Scrooge\'s experience during the Christmas event highlights the transformation of his character and the spirit of the holiday.""Scrooge\'s journey with the Spirit ultimately leads him to reflect on the meaning of Christmas and its impact on human connections.""Scrooge\'s transformation and newfound joy are directly linked to the spirit of Christmas.""Scrooge\'s transformation is centered around the spirit of Christmas, which he learns to embrace and celebrate.""Scrooge\'s views on Christmas evolve as he witnesses the joy and familial love associated with the holiday, marking a shift in his character."', 'weight': 95.0, 'source_id': 'chunk-91614df5cb74cbe5e109a338a82041e9chunk-8f738cb25d60a7dab782162d9d0a25edchunk-e7637ff18c5ded77a68cce0a87883fadchunk-8590d9263cd2cd4fa583c432fc54e6c3chunk-54bdd22db1f84a965b5f4c06c9216d8dchunk-90d5764e301321c087f5a8f78b73a145chunk-da2472b4ef2a535b62908f14d0fb0ca9chunk-94bea83e7153fc2064aa382b494936a1chunk-89777b838d5447c7bd1ec11282c4ee89chunk-99b0ec7f7e006561352b5d65e849611dchunk-74e2466de2f67fd710ef2f20c0a8d9e0'}> +2024-10-30 05:10:58,578 - lightrag - INFO - _check_edge_existence:query:MATCH (a:`SCROOGE`)-[r]-(b:`THE WAREHOUSE`) RETURN COUNT(r) > 0 AS edgeExists:result:True +2024-10-30 05:10:58,715 - lightrag - INFO - get_edge:query: + MATCH (source:`SCROOGE`)-[r]-(target:`THE WAREHOUSE`) + RETURN r + :result:, ) type='DIRECTED' properties={'keywords': '"memories, apprenticeship"', 'description': '"Scrooge\'s connection to the Warehouse emphasizes his memories of apprenticeship and his past experiences."', 'weight': 8.0, 'source_id': 'chunk-c6c248858d1b13ab7ee9ca13c1aeed6b'}> +2024-10-30 05:10:58,857 - lightrag - INFO - _check_edge_existence:query:MATCH (a:`JOE`)-[r]-(b:`THE WOMAN`) RETURN COUNT(r) > 0 AS edgeExists:result:True +2024-10-30 05:10:58,996 - lightrag - INFO - get_edge:query: + MATCH (source:`JOE`)-[r]-(target:`THE WOMAN`) + RETURN r + :result:, ) type='DIRECTED' properties={'keywords': '"dialogue, humor, death""humor, interaction"', 'description': '"Joe and The Woman engage in dialogue about the deceased\'s belongings, showcasing their interactions and differing attitudes towards death.""Joe and The Woman share a humorous exchange about the bed-curtains, reflecting the jovial spirit of the gathering."', 'weight': 12.0, 'source_id': 'chunk-89777b838d5447c7bd1ec11282c4ee89chunk-e1f29eeadc1d8ab46dc8a0bbd3c56b64'}> +2024-10-30 05:10:59,134 - lightrag - INFO - _check_edge_existence:query:MATCH (a:`SCROOGE`)-[r]-(b:`TIM`) RETURN COUNT(r) > 0 AS edgeExists:result:False +2024-10-30 05:10:59,293 - lightrag - INFO - _check_node_exists:query:MATCH (n:`SCROOGE`) RETURN count(n) > 0 AS node_exists:result:True +2024-10-30 05:10:59,468 - lightrag - INFO - _check_node_exists:query:MATCH (n:`TIM`) RETURN count(n) > 0 AS node_exists:result:True +2024-10-30 05:10:59,653 - lightrag - INFO - _do_upsert_edge:query: + MATCH (source:`SCROOGE`) WITH source - MATCH (target:`MRS. FEZZIWIG`) + MATCH (target:`TIM`) MERGE (source)-[r:DIRECTED]->(target) SET r += $properties RETURN r :result:None -2024-10-29 13:35:18,146 - lightrag - INFO - _check_edge_existence:query:MATCH (a:`MARLEY`)-[r]-(b:`SCROOGE`) RETURN COUNT(r) > 0 AS edgeExists:result:False -2024-10-29 13:35:18,323 - lightrag - INFO - _check_node_exists:query:MATCH (n:`MARLEY`) RETURN count(n) > 0 AS node_exists:result:True -2024-10-29 13:35:18,498 - lightrag - INFO - _check_node_exists:query:MATCH (n:`SCROOGE`) RETURN count(n) > 0 AS node_exists:result:True -2024-10-29 13:35:18,686 - lightrag - INFO - _do_upsert_edge:query: - MATCH (source:`MARLEY`) +2024-10-30 05:10:59,840 - lightrag - INFO - _check_edge_existence:query:MATCH (a:`OLD SCROOGE`)-[r]-(b:`SCROOGE`) RETURN COUNT(r) > 0 AS edgeExists:result:False +2024-10-30 05:11:00,016 - lightrag - INFO - _check_node_exists:query:MATCH (n:`OLD SCROOGE`) RETURN count(n) > 0 AS node_exists:result:True +2024-10-30 05:11:00,175 - lightrag - INFO - _check_node_exists:query:MATCH (n:`SCROOGE`) RETURN count(n) > 0 AS node_exists:result:True +2024-10-30 05:11:00,357 - lightrag - INFO - _do_upsert_edge:query: + MATCH (source:`OLD SCROOGE`) WITH source MATCH (target:`SCROOGE`) MERGE (source)-[r:DIRECTED]->(target) SET r += $properties RETURN r :result:None -2024-10-29 13:35:18,867 - lightrag - INFO - _check_edge_existence:query:MATCH (a:`CHRISTMAS`)-[r]-(b:`SCROOGE`) RETURN COUNT(r) > 0 AS edgeExists:result:False -2024-10-29 13:35:19,040 - lightrag - INFO - _check_node_exists:query:MATCH (n:`CHRISTMAS`) RETURN count(n) > 0 AS node_exists:result:True -2024-10-29 13:35:19,218 - lightrag - INFO - _check_node_exists:query:MATCH (n:`SCROOGE`) RETURN count(n) > 0 AS node_exists:result:True -2024-10-29 13:35:19,414 - lightrag - INFO - _do_upsert_edge:query: - MATCH (source:`CHRISTMAS`) +2024-10-30 05:11:00,546 - lightrag - INFO - _check_edge_existence:query:MATCH (a:`MARLEY'S FUNERAL`)-[r]-(b:`SCROOGE`) RETURN COUNT(r) > 0 AS edgeExists:result:False +2024-10-30 05:11:00,726 - lightrag - INFO - _check_node_exists:query:MATCH (n:`MARLEY'S FUNERAL`) RETURN count(n) > 0 AS node_exists:result:False +2024-10-30 05:11:00,904 - lightrag - INFO - _do_upsert:query: + MERGE (n:`MARLEY'S FUNERAL`) + SET n += $properties + RETURN n + :result:{'entity_type': '"UNKNOWN"', 'description': '"Marley\'s Funeral signifies the beginning of Scrooge\'s emotional journey, showcasing his reaction to loss and setting the stage for the narrative."', 'source_id': 'chunk-89777b838d5447c7bd1ec11282c4ee89'} +2024-10-30 05:11:01,067 - lightrag - INFO - _check_node_exists:query:MATCH (n:`SCROOGE`) RETURN count(n) > 0 AS node_exists:result:True +2024-10-30 05:11:01,260 - lightrag - INFO - _do_upsert_edge:query: + MATCH (source:`MARLEY'S FUNERAL`) WITH source MATCH (target:`SCROOGE`) MERGE (source)-[r:DIRECTED]->(target) SET r += $properties RETURN r :result:None -2024-10-29 13:35:19,608 - lightrag - INFO - _check_edge_existence:query:MATCH (a:`JOE`)-[r]-(b:`THE WOMAN`) RETURN COUNT(r) > 0 AS edgeExists:result:False -2024-10-29 13:35:19,778 - lightrag - INFO - _check_node_exists:query:MATCH (n:`JOE`) RETURN count(n) > 0 AS node_exists:result:True -2024-10-29 13:35:19,958 - lightrag - INFO - _check_node_exists:query:MATCH (n:`THE WOMAN`) RETURN count(n) > 0 AS node_exists:result:True -2024-10-29 13:35:20,147 - lightrag - INFO - _do_upsert_edge:query: - MATCH (source:`JOE`) +2024-10-30 05:11:01,450 - lightrag - INFO - _check_edge_existence:query:MATCH (a:`SCROOGE`)-[r]-(b:`SCROOGE'S NEPHEW`) RETURN COUNT(r) > 0 AS edgeExists:result:True +2024-10-30 05:11:01,591 - lightrag - INFO - get_edge:query: + MATCH (source:`SCROOGE`)-[r]-(target:`SCROOGE'S NEPHEW`) + RETURN r + :result:, ) type='DIRECTED' properties={'keywords': '"family conflict, differing perspectives""family dynamics, contrasting views""family dynamics, opposing views"', 'description': '"Scrooge\'s Nephew contrasts with Scrooge, advocating for merriment and showing pity for his uncle\'s ill tempers.""Scrooge\'s Nephew tries to cheer Scrooge up and promote the joy of Christmas, but is met with rejection and negativity.""Scrooge\'s Nephew tries to convince Scrooge of the joys of Christmas, illustrating the conflict between their differing views on the holiday."', 'weight': 24.0, 'source_id': 'chunk-773d0df1dd25c356f7b771d780583e09chunk-74e2466de2f67fd710ef2f20c0a8d9e0chunk-5dac41b3f9eeaf794f0147400b1718cd'}> +2024-10-30 05:11:01,731 - lightrag - INFO - _check_edge_existence:query:MATCH (a:`CHRISTMAS`)-[r]-(b:`SCROOGE'S NEPHEW`) RETURN COUNT(r) > 0 AS edgeExists:result:True +2024-10-30 05:11:01,877 - lightrag - INFO - get_edge:query: + MATCH (source:`CHRISTMAS`)-[r]-(target:`SCROOGE'S NEPHEW`) + RETURN r + :result:, ) type='DIRECTED' properties={'keywords': '"advocacy for holiday spirit, family dynamics"', 'description': '"Scrooge\'s Nephew defends the positive aspects of Christmas, contrasting Scrooge\'s view that the holiday is pointless."', 'weight': 9.0, 'source_id': 'chunk-5dac41b3f9eeaf794f0147400b1718cd'}> +2024-10-30 05:11:02,026 - lightrag - INFO - _check_edge_existence:query:MATCH (a:`COUNTING-HOUSE`)-[r]-(b:`SCROOGE`) RETURN COUNT(r) > 0 AS edgeExists:result:False +2024-10-30 05:11:02,198 - lightrag - INFO - _check_node_exists:query:MATCH (n:`COUNTING-HOUSE`) RETURN count(n) > 0 AS node_exists:result:True +2024-10-30 05:11:02,356 - lightrag - INFO - _check_node_exists:query:MATCH (n:`SCROOGE`) RETURN count(n) > 0 AS node_exists:result:True +2024-10-30 05:11:02,543 - lightrag - INFO - _do_upsert_edge:query: + MATCH (source:`COUNTING-HOUSE`) WITH source - MATCH (target:`THE WOMAN`) + MATCH (target:`SCROOGE`) MERGE (source)-[r:DIRECTED]->(target) SET r += $properties RETURN r :result:None -2024-10-29 13:35:20,334 - lightrag - INFO - _check_edge_existence:query:MATCH (a:`FRED`)-[r]-(b:`SCROOGE`) RETURN COUNT(r) > 0 AS edgeExists:result:False -2024-10-29 13:35:20,512 - lightrag - INFO - _check_node_exists:query:MATCH (n:`FRED`) RETURN count(n) > 0 AS node_exists:result:True -2024-10-29 13:35:20,680 - lightrag - INFO - _check_node_exists:query:MATCH (n:`SCROOGE`) RETURN count(n) > 0 AS node_exists:result:True -2024-10-29 13:35:20,874 - lightrag - INFO - _do_upsert_edge:query: - MATCH (source:`FRED`) +2024-10-30 05:11:02,724 - lightrag - INFO - _check_edge_existence:query:MATCH (a:`BEGGARS`)-[r]-(b:`SCROOGE`) RETURN COUNT(r) > 0 AS edgeExists:result:False +2024-10-30 05:11:02,896 - lightrag - INFO - _check_node_exists:query:MATCH (n:`BEGGARS`) RETURN count(n) > 0 AS node_exists:result:True +2024-10-30 05:11:03,060 - lightrag - INFO - _check_node_exists:query:MATCH (n:`SCROOGE`) RETURN count(n) > 0 AS node_exists:result:True +2024-10-30 05:11:03,248 - lightrag - INFO - _do_upsert_edge:query: + MATCH (source:`BEGGARS`) WITH source MATCH (target:`SCROOGE`) MERGE (source)-[r:DIRECTED]->(target) SET r += $properties RETURN r :result:None -2024-10-29 13:35:21,065 - lightrag - INFO - _check_edge_existence:query:MATCH (a:`SCROOGE`)-[r]-(b:`THE REGISTER`) RETURN COUNT(r) > 0 AS edgeExists:result:False -2024-10-29 13:35:21,230 - lightrag - INFO - _check_node_exists:query:MATCH (n:`SCROOGE`) RETURN count(n) > 0 AS node_exists:result:True -2024-10-29 13:35:21,412 - lightrag - INFO - _check_node_exists:query:MATCH (n:`THE REGISTER`) RETURN count(n) > 0 AS node_exists:result:True -2024-10-29 13:35:21,604 - lightrag - INFO - _do_upsert_edge:query: - MATCH (source:`SCROOGE`) +2024-10-30 05:11:03,434 - lightrag - INFO - _check_edge_existence:query:MATCH (a:`CHILDREN`)-[r]-(b:`SCROOGE`) RETURN COUNT(r) > 0 AS edgeExists:result:True +2024-10-30 05:11:03,590 - lightrag - INFO - get_edge:query: + MATCH (source:`CHILDREN`)-[r]-(target:`SCROOGE`) + RETURN r + :result:, ) type='DIRECTED' properties={'keywords': '"longing, innocence"', 'description': '"Scrooge\'s reaction to the Children he observes in his memories reveals his longing for the happiness he once knew but has since lost."', 'weight': 7.0, 'source_id': 'chunk-bb21d58d36c6306fd8810ddd51c4a971'}> +2024-10-30 05:11:03,766 - lightrag - INFO - _check_edge_existence:query:MATCH (a:`COLD WEATHER`)-[r]-(b:`SCROOGE`) RETURN COUNT(r) > 0 AS edgeExists:result:False +2024-10-30 05:11:03,942 - lightrag - INFO - _check_node_exists:query:MATCH (n:`COLD WEATHER`) RETURN count(n) > 0 AS node_exists:result:True +2024-10-30 05:11:04,098 - lightrag - INFO - _check_node_exists:query:MATCH (n:`SCROOGE`) RETURN count(n) > 0 AS node_exists:result:True +2024-10-30 05:11:04,288 - lightrag - INFO - _do_upsert_edge:query: + MATCH (source:`COLD WEATHER`) WITH source - MATCH (target:`THE REGISTER`) + MATCH (target:`SCROOGE`) MERGE (source)-[r:DIRECTED]->(target) SET r += $properties RETURN r :result:None -2024-10-29 13:35:21,788 - lightrag - INFO - _check_edge_existence:query:MATCH (a:`SCROOGE`)-[r]-(b:`THE FUNERAL`) RETURN COUNT(r) > 0 AS edgeExists:result:False -2024-10-29 13:35:21,951 - lightrag - INFO - _check_node_exists:query:MATCH (n:`SCROOGE`) RETURN count(n) > 0 AS node_exists:result:True -2024-10-29 13:35:22,128 - lightrag - INFO - _check_node_exists:query:MATCH (n:`THE FUNERAL`) RETURN count(n) > 0 AS node_exists:result:True -2024-10-29 13:35:22,315 - lightrag - INFO - _do_upsert_edge:query: - MATCH (source:`SCROOGE`) +2024-10-30 05:11:04,476 - lightrag - INFO - _check_edge_existence:query:MATCH (a:`FOG`)-[r]-(b:`SCROOGE`) RETURN COUNT(r) > 0 AS edgeExists:result:True +2024-10-30 05:11:04,614 - lightrag - INFO - get_edge:query: + MATCH (source:`FOG`)-[r]-(target:`SCROOGE`) + RETURN r + :result:, ) type='DIRECTED' properties={'keywords': '"atmosphere, emotional reflection"', 'description': '"Fog represents the obscured vision of Scrooge\'s soul and emotions, aligning with his unknowable nature."', 'weight': 8.0, 'source_id': 'chunk-d9aac3484185ac66045df92214d245d5'}> +2024-10-30 05:11:04,756 - lightrag - INFO - _check_edge_existence:query:MATCH (a:`COURT`)-[r]-(b:`SCROOGE`) RETURN COUNT(r) > 0 AS edgeExists:result:False +2024-10-30 05:11:04,931 - lightrag - INFO - _check_node_exists:query:MATCH (n:`COURT`) RETURN count(n) > 0 AS node_exists:result:True +2024-10-30 05:11:05,094 - lightrag - INFO - _check_node_exists:query:MATCH (n:`SCROOGE`) RETURN count(n) > 0 AS node_exists:result:True +2024-10-30 05:11:05,281 - lightrag - INFO - _do_upsert_edge:query: + MATCH (source:`COURT`) WITH source - MATCH (target:`THE FUNERAL`) + MATCH (target:`SCROOGE`) MERGE (source)-[r:DIRECTED]->(target) SET r += $properties RETURN r :result:None -2024-10-29 13:35:22,500 - lightrag - INFO - _check_edge_existence:query:MATCH (a:`SCROOGE`)-[r]-(b:`SCROOGE'S NEPHEW`) RETURN COUNT(r) > 0 AS edgeExists:result:False -2024-10-29 13:35:22,666 - lightrag - INFO - _check_node_exists:query:MATCH (n:`SCROOGE`) RETURN count(n) > 0 AS node_exists:result:True -2024-10-29 13:35:22,839 - lightrag - INFO - _check_node_exists:query:MATCH (n:`SCROOGE'S NEPHEW`) RETURN count(n) > 0 AS node_exists:result:True -2024-10-29 13:35:23,024 - lightrag - INFO - _do_upsert_edge:query: - MATCH (source:`SCROOGE`) +2024-10-30 05:11:05,472 - lightrag - INFO - _check_edge_existence:query:MATCH (a:`MARLEY`)-[r]-(b:`SCROOGE AND MARLEY'S`) RETURN COUNT(r) > 0 AS edgeExists:result:False +2024-10-30 05:11:05,643 - lightrag - INFO - _check_node_exists:query:MATCH (n:`MARLEY`) RETURN count(n) > 0 AS node_exists:result:True +2024-10-30 05:11:05,815 - lightrag - INFO - _check_node_exists:query:MATCH (n:`SCROOGE AND MARLEY'S`) RETURN count(n) > 0 AS node_exists:result:True +2024-10-30 05:11:06,002 - lightrag - INFO - _do_upsert_edge:query: + MATCH (source:`MARLEY`) WITH source - MATCH (target:`SCROOGE'S NEPHEW`) + MATCH (target:`SCROOGE AND MARLEY'S`) MERGE (source)-[r:DIRECTED]->(target) SET r += $properties RETURN r :result:None -2024-10-29 13:35:23,211 - lightrag - INFO - _check_edge_existence:query:MATCH (a:`SCROOGE`)-[r]-(b:`THE COUNTING-HOUSE`) RETURN COUNT(r) > 0 AS edgeExists:result:False -2024-10-29 13:35:23,372 - lightrag - INFO - _check_node_exists:query:MATCH (n:`SCROOGE`) RETURN count(n) > 0 AS node_exists:result:True -2024-10-29 13:35:23,549 - lightrag - INFO - _check_node_exists:query:MATCH (n:`THE COUNTING-HOUSE`) RETURN count(n) > 0 AS node_exists:result:True -2024-10-29 13:35:23,734 - lightrag - INFO - _do_upsert_edge:query: +2024-10-30 05:11:06,186 - lightrag - INFO - _check_edge_existence:query:MATCH (a:`CLERK`)-[r]-(b:`SCROOGE`) RETURN COUNT(r) > 0 AS edgeExists:result:True +2024-10-30 05:11:06,325 - lightrag - INFO - get_edge:query: + MATCH (source:`CLERK`)-[r]-(target:`SCROOGE`) + RETURN r + :result:, ) type='DIRECTED' properties={'keywords': '"employment relationship, respect"', 'description': '"The Clerk communicates with Scrooge about his work, highlighting the lack of mutual respect in their employer-employee relationship."', 'weight': 5.0, 'source_id': 'chunk-d9aac3484185ac66045df92214d245d5'}> +2024-10-30 05:11:06,469 - lightrag - INFO - _check_edge_existence:query:MATCH (a:`SCROOGE`)-[r]-(b:`THE GENTLEMEN`) RETURN COUNT(r) > 0 AS edgeExists:result:False +2024-10-30 05:11:06,737 - lightrag - INFO - _check_node_exists:query:MATCH (n:`SCROOGE`) RETURN count(n) > 0 AS node_exists:result:True +2024-10-30 05:11:06,918 - lightrag - INFO - _check_node_exists:query:MATCH (n:`THE GENTLEMEN`) RETURN count(n) > 0 AS node_exists:result:True +2024-10-30 05:11:07,104 - lightrag - INFO - _do_upsert_edge:query: MATCH (source:`SCROOGE`) WITH source - MATCH (target:`THE COUNTING-HOUSE`) + MATCH (target:`THE GENTLEMEN`) MERGE (source)-[r:DIRECTED]->(target) SET r += $properties RETURN r :result:None -2024-10-29 13:35:23,917 - lightrag - INFO - _check_edge_existence:query:MATCH (a:`SCROOGE`)-[r]-(b:`THE CLERK`) RETURN COUNT(r) > 0 AS edgeExists:result:False -2024-10-29 13:35:24,078 - lightrag - INFO - _check_node_exists:query:MATCH (n:`SCROOGE`) RETURN count(n) > 0 AS node_exists:result:True -2024-10-29 13:35:24,253 - lightrag - INFO - _check_node_exists:query:MATCH (n:`THE CLERK`) RETURN count(n) > 0 AS node_exists:result:True -2024-10-29 13:35:24,438 - lightrag - INFO - _do_upsert_edge:query: - MATCH (source:`SCROOGE`) +2024-10-30 05:11:07,291 - lightrag - INFO - _check_edge_existence:query:MATCH (a:`POOR AND DESTITUTE`)-[r]-(b:`SCROOGE`) RETURN COUNT(r) > 0 AS edgeExists:result:False +2024-10-30 05:11:07,464 - lightrag - INFO - _check_node_exists:query:MATCH (n:`POOR AND DESTITUTE`) RETURN count(n) > 0 AS node_exists:result:True +2024-10-30 05:11:07,622 - lightrag - INFO - _check_node_exists:query:MATCH (n:`SCROOGE`) RETURN count(n) > 0 AS node_exists:result:True +2024-10-30 05:11:07,810 - lightrag - INFO - _do_upsert_edge:query: + MATCH (source:`POOR AND DESTITUTE`) WITH source - MATCH (target:`THE CLERK`) + MATCH (target:`SCROOGE`) MERGE (source)-[r:DIRECTED]->(target) SET r += $properties RETURN r :result:None -2024-10-29 13:35:24,626 - lightrag - INFO - _check_edge_existence:query:MATCH (a:`SCROOGE`)-[r]-(b:`THE COLD`) RETURN COUNT(r) > 0 AS edgeExists:result:False -2024-10-29 13:35:24,791 - lightrag - INFO - _check_node_exists:query:MATCH (n:`SCROOGE`) RETURN count(n) > 0 AS node_exists:result:True -2024-10-29 13:35:24,969 - lightrag - INFO - _check_node_exists:query:MATCH (n:`THE COLD`) RETURN count(n) > 0 AS node_exists:result:True -2024-10-29 13:35:25,156 - lightrag - INFO - _do_upsert_edge:query: - MATCH (source:`SCROOGE`) +2024-10-30 05:11:07,996 - lightrag - INFO - _check_edge_existence:query:MATCH (a:`CHRISTMAS-TIME`)-[r]-(b:`SCROOGE'S NEPHEW`) RETURN COUNT(r) > 0 AS edgeExists:result:False +2024-10-30 05:11:08,172 - lightrag - INFO - _check_node_exists:query:MATCH (n:`CHRISTMAS-TIME`) RETURN count(n) > 0 AS node_exists:result:True +2024-10-30 05:11:08,349 - lightrag - INFO - _check_node_exists:query:MATCH (n:`SCROOGE'S NEPHEW`) RETURN count(n) > 0 AS node_exists:result:True +2024-10-30 05:11:08,539 - lightrag - INFO - _do_upsert_edge:query: + MATCH (source:`CHRISTMAS-TIME`) WITH source - MATCH (target:`THE COLD`) + MATCH (target:`SCROOGE'S NEPHEW`) MERGE (source)-[r:DIRECTED]->(target) SET r += $properties RETURN r :result:None -2024-10-29 13:35:25,348 - lightrag - INFO - _check_edge_existence:query:MATCH (a:`FOG`)-[r]-(b:`THE CITY`) RETURN COUNT(r) > 0 AS edgeExists:result:False -2024-10-29 13:35:25,521 - lightrag - INFO - _check_node_exists:query:MATCH (n:`FOG`) RETURN count(n) > 0 AS node_exists:result:True -2024-10-29 13:35:25,698 - lightrag - INFO - _check_node_exists:query:MATCH (n:`THE CITY`) RETURN count(n) > 0 AS node_exists:result:True -2024-10-29 13:35:25,888 - lightrag - INFO - _do_upsert_edge:query: - MATCH (source:`FOG`) +2024-10-30 05:11:08,723 - lightrag - INFO - _check_edge_existence:query:MATCH (a:`BEDLAM`)-[r]-(b:`SCROOGE`) RETURN COUNT(r) > 0 AS edgeExists:result:False +2024-10-30 05:11:08,903 - lightrag - INFO - _check_node_exists:query:MATCH (n:`BEDLAM`) RETURN count(n) > 0 AS node_exists:result:True +2024-10-30 05:11:09,065 - lightrag - INFO - _check_node_exists:query:MATCH (n:`SCROOGE`) RETURN count(n) > 0 AS node_exists:result:True +2024-10-30 05:11:09,271 - lightrag - INFO - _do_upsert_edge:query: + MATCH (source:`BEDLAM`) WITH source - MATCH (target:`THE CITY`) + MATCH (target:`SCROOGE`) MERGE (source)-[r:DIRECTED]->(target) SET r += $properties RETURN r :result:None -2024-10-29 13:35:26,076 - lightrag - INFO - _check_edge_existence:query:MATCH (a:`CHRISTMAS EVE`)-[r]-(b:`CHRISTMAS`) RETURN COUNT(r) > 0 AS edgeExists:result:False -2024-10-29 13:35:26,250 - lightrag - INFO - _check_node_exists:query:MATCH (n:`CHRISTMAS EVE`) RETURN count(n) > 0 AS node_exists:result:True -2024-10-29 13:35:26,431 - lightrag - INFO - _check_node_exists:query:MATCH (n:`CHRISTMAS`) RETURN count(n) > 0 AS node_exists:result:True -2024-10-29 13:35:26,616 - lightrag - INFO - _do_upsert_edge:query: - MATCH (source:`CHRISTMAS EVE`) +2024-10-30 05:11:09,458 - lightrag - INFO - _check_edge_existence:query:MATCH (a:`SCROOGE`)-[r]-(b:`THE GENTLEMAN`) RETURN COUNT(r) > 0 AS edgeExists:result:True +2024-10-30 05:11:09,595 - lightrag - INFO - get_edge:query: + MATCH (source:`SCROOGE`)-[r]-(target:`THE GENTLEMAN`) + RETURN r + :result:, ) type='DIRECTED' properties={'keywords': '"charity, conflict of values"', 'description': '"Scrooge and The Gentleman have opposing views on charity and helping the poor during Christmas, showing a stark contrast in values."', 'weight': 8.0, 'source_id': 'chunk-90d5764e301321c087f5a8f78b73a145'}> +2024-10-30 05:11:09,745 - lightrag - INFO - _check_edge_existence:query:MATCH (a:`THE GENTLEMAN`)-[r]-(b:`THE POOR LAW`) RETURN COUNT(r) > 0 AS edgeExists:result:False +2024-10-30 05:11:09,922 - lightrag - INFO - _check_node_exists:query:MATCH (n:`THE GENTLEMAN`) RETURN count(n) > 0 AS node_exists:result:True +2024-10-30 05:11:10,099 - lightrag - INFO - _check_node_exists:query:MATCH (n:`THE POOR LAW`) RETURN count(n) > 0 AS node_exists:result:True +2024-10-30 05:11:10,289 - lightrag - INFO - _do_upsert_edge:query: + MATCH (source:`THE GENTLEMAN`) WITH source - MATCH (target:`CHRISTMAS`) + MATCH (target:`THE POOR LAW`) MERGE (source)-[r:DIRECTED]->(target) SET r += $properties RETURN r :result:None -2024-10-29 13:35:26,803 - lightrag - INFO - _check_edge_existence:query:MATCH (a:`MR. MARLEY`)-[r]-(b:`SCROOGE`) RETURN COUNT(r) > 0 AS edgeExists:result:False -2024-10-29 13:35:26,979 - lightrag - INFO - _check_node_exists:query:MATCH (n:`MR. MARLEY`) RETURN count(n) > 0 AS node_exists:result:True -2024-10-29 13:35:27,140 - lightrag - INFO - _check_node_exists:query:MATCH (n:`SCROOGE`) RETURN count(n) > 0 AS node_exists:result:True -2024-10-29 13:35:27,327 - lightrag - INFO - _do_upsert_edge:query: - MATCH (source:`MR. MARLEY`) +2024-10-30 05:11:10,470 - lightrag - INFO - _check_edge_existence:query:MATCH (a:`THE POOR LAW`)-[r]-(b:`THE UNION WORKHOUSES`) RETURN COUNT(r) > 0 AS edgeExists:result:False +2024-10-30 05:11:10,630 - lightrag - INFO - _check_node_exists:query:MATCH (n:`THE POOR LAW`) RETURN count(n) > 0 AS node_exists:result:True +2024-10-30 05:11:10,799 - lightrag - INFO - _check_node_exists:query:MATCH (n:`THE UNION WORKHOUSES`) RETURN count(n) > 0 AS node_exists:result:True +2024-10-30 05:11:10,985 - lightrag - INFO - _do_upsert_edge:query: + MATCH (source:`THE POOR LAW`) WITH source - MATCH (target:`SCROOGE`) + MATCH (target:`THE UNION WORKHOUSES`) MERGE (source)-[r:DIRECTED]->(target) SET r += $properties RETURN r :result:None -2024-10-29 13:35:27,513 - lightrag - INFO - _check_edge_existence:query:MATCH (a:`CHRISTMAS`)-[r]-(b:`SCROOGE'S NEPHEW`) RETURN COUNT(r) > 0 AS edgeExists:result:False -2024-10-29 13:35:27,683 - lightrag - INFO - _check_node_exists:query:MATCH (n:`CHRISTMAS`) RETURN count(n) > 0 AS node_exists:result:True -2024-10-29 13:35:27,852 - lightrag - INFO - _check_node_exists:query:MATCH (n:`SCROOGE'S NEPHEW`) RETURN count(n) > 0 AS node_exists:result:True -2024-10-29 13:35:28,035 - lightrag - INFO - _do_upsert_edge:query: - MATCH (source:`CHRISTMAS`) +2024-10-30 05:11:11,176 - lightrag - INFO - _check_edge_existence:query:MATCH (a:`THE LADY MAYOR`)-[r]-(b:`THE MANSION HOUSE`) RETURN COUNT(r) > 0 AS edgeExists:result:False +2024-10-30 05:11:11,351 - lightrag - INFO - _check_node_exists:query:MATCH (n:`THE LADY MAYOR`) RETURN count(n) > 0 AS node_exists:result:False +2024-10-30 05:11:11,525 - lightrag - INFO - _do_upsert:query: + MERGE (n:`THE LADY MAYOR`) + SET n += $properties + RETURN n + :result:{'entity_type': '"UNKNOWN"', 'description': '"The Lady Mayor prepares for Christmas festivities at the Mansion House, highlighting the importance of the event to the community."', 'source_id': 'chunk-90d5764e301321c087f5a8f78b73a145'} +2024-10-30 05:11:11,699 - lightrag - INFO - _check_node_exists:query:MATCH (n:`THE MANSION HOUSE`) RETURN count(n) > 0 AS node_exists:result:True +2024-10-30 05:11:11,884 - lightrag - INFO - _do_upsert_edge:query: + MATCH (source:`THE LADY MAYOR`) WITH source - MATCH (target:`SCROOGE'S NEPHEW`) + MATCH (target:`THE MANSION HOUSE`) MERGE (source)-[r:DIRECTED]->(target) SET r += $properties RETURN r :result:None -2024-10-29 13:35:28,219 - lightrag - INFO - _check_edge_existence:query:MATCH (a:`LIBERTY`)-[r]-(b:`MR. MARLEY`) RETURN COUNT(r) > 0 AS edgeExists:result:False -2024-10-29 13:35:28,391 - lightrag - INFO - _check_node_exists:query:MATCH (n:`LIBERTY`) RETURN count(n) > 0 AS node_exists:result:True -2024-10-29 13:35:28,571 - lightrag - INFO - _check_node_exists:query:MATCH (n:`MR. MARLEY`) RETURN count(n) > 0 AS node_exists:result:True -2024-10-29 13:35:28,758 - lightrag - INFO - _do_upsert_edge:query: - MATCH (source:`LIBERTY`) +2024-10-30 05:11:12,074 - lightrag - INFO - _check_edge_existence:query:MATCH (a:`BOB CRATCHIT`)-[r]-(b:`SCROOGE`) RETURN COUNT(r) > 0 AS edgeExists:result:True +2024-10-30 05:11:12,210 - lightrag - INFO - get_edge:query: + MATCH (source:`BOB CRATCHIT`)-[r]-(target:`SCROOGE`) + RETURN r + :result:, ) type='DIRECTED' properties={'keywords': '"employment, generosity""employment, power dynamic""employment, social reflection""family dynamics, acknowledgment""generosity, relationship change""gratitude, redemption"', 'description': '"Bob Cratchit tries to maintain a positive atmosphere during the Christmas feast despite the negative association with Scrooge.""Bob praises Scrooge as \'The Founder of the Feast\', showing appreciation despite Scrooge’s previous miserliness.""Scrooge decides to send a turkey to Bob Cratchit, indicating a newfound kindness towards him and his family.""Scrooge is Bob Cratchit\'s employer, and he reflects on the challenges Bob faces regarding family and food on Christmas Day.".""Scrooge is the employer of Bob Cratchit, demonstrating a power dynamic characterized by Scrooge\'s harsh treatment and Bob\'s subservient role.""Scrooge reprimands Bob for arriving late, but ultimately decides to raise his salary, signaling a significant change in their employer-employee relationship."', 'weight': 40.0, 'source_id': 'chunk-503f0bfa5453467c7c61d160a3540ecachunk-90b95db5c53e4364a6bee36b7aa4d70fchunk-b0f459f5af1c3a5e0b92cbe4ee48b77bchunk-d9aac3484185ac66045df92214d245d5chunk-94bea83e7153fc2064aa382b494936a1chunk-19d72c57ae3408758b18d2568e86dc6b'}> +2024-10-30 05:11:12,349 - lightrag - INFO - _check_edge_existence:query:MATCH (a:`CHRISTMAS EVE`)-[r]-(b:`SCROOGE`) RETURN COUNT(r) > 0 AS edgeExists:result:False +2024-10-30 05:11:12,522 - lightrag - INFO - _check_node_exists:query:MATCH (n:`CHRISTMAS EVE`) RETURN count(n) > 0 AS node_exists:result:True +2024-10-30 05:11:12,681 - lightrag - INFO - _check_node_exists:query:MATCH (n:`SCROOGE`) RETURN count(n) > 0 AS node_exists:result:True +2024-10-30 05:11:12,866 - lightrag - INFO - _do_upsert_edge:query: + MATCH (source:`CHRISTMAS EVE`) WITH source - MATCH (target:`MR. MARLEY`) + MATCH (target:`SCROOGE`) MERGE (source)-[r:DIRECTED]->(target) SET r += $properties RETURN r :result:None -2024-10-29 13:35:28,946 - lightrag - INFO - _check_edge_existence:query:MATCH (a:`PORTLY GENTLEMEN`)-[r]-(b:`SCROOGE`) RETURN COUNT(r) > 0 AS edgeExists:result:False -2024-10-29 13:35:29,123 - lightrag - INFO - _check_node_exists:query:MATCH (n:`PORTLY GENTLEMEN`) RETURN count(n) > 0 AS node_exists:result:True -2024-10-29 13:35:29,289 - lightrag - INFO - _check_node_exists:query:MATCH (n:`SCROOGE`) RETURN count(n) > 0 AS node_exists:result:True -2024-10-29 13:35:29,482 - lightrag - INFO - _do_upsert_edge:query: - MATCH (source:`PORTLY GENTLEMEN`) +2024-10-30 05:11:13,053 - lightrag - INFO - _check_edge_existence:query:MATCH (a:`BOB CRATCHIT`)-[r]-(b:`CHRISTMAS EVE`) RETURN COUNT(r) > 0 AS edgeExists:result:True +2024-10-30 05:11:13,191 - lightrag - INFO - get_edge:query: + MATCH (source:`BOB CRATCHIT`)-[r]-(target:`CHRISTMAS EVE`) + RETURN r + :result:, ) type='DIRECTED' properties={'keywords': '"celebration, contrast"', 'description': '"Bob Cratchit embodies the joy of Christmas Eve while Scrooge\'s perspective starkly contrasts with Bob\'s happiness during the holiday season."', 'weight': 5.0, 'source_id': 'chunk-d9aac3484185ac66045df92214d245d5'}> +2024-10-30 05:11:13,336 - lightrag - INFO - _check_edge_existence:query:MATCH (a:`SCROOGE`)-[r]-(b:`THE COUNTING-HOUSE`) RETURN COUNT(r) > 0 AS edgeExists:result:True +2024-10-30 05:11:13,470 - lightrag - INFO - get_edge:query: + MATCH (source:`SCROOGE`)-[r]-(target:`THE COUNTING-HOUSE`) + RETURN r + :result:, ) type='DIRECTED' properties={'keywords': '"work environment, character development""work environment, personality reflection"', 'description': '"Scrooge\'s work environment reflects his personality, being cold and uninviting, mirroring his discontent with life.""The Counting-House is where Scrooge works, illustrating the environment that shapes his bleak personality."', 'weight': 14.0, 'source_id': 'chunk-d9aac3484185ac66045df92214d245d5chunk-74e2466de2f67fd710ef2f20c0a8d9e0'}> +2024-10-30 05:11:13,613 - lightrag - INFO - _check_edge_existence:query:MATCH (a:`SCROOGE`)-[r]-(b:`THE KNOCKER`) RETURN COUNT(r) > 0 AS edgeExists:result:True +2024-10-30 05:11:13,750 - lightrag - INFO - get_edge:query: + MATCH (source:`SCROOGE`)-[r]-(target:`THE KNOCKER`) + RETURN r + :result:, ) type='DIRECTED' properties={'keywords': '"appreciation, transformation""symbolism, transformation"', 'description': '"Scrooge admires the knocker at his door, marking a positive change in his attitude towards life and surroundings.""The Knocker, transforming into Marley\'s face, symbolizes Scrooge\'s ghostly past and impending redemption challenges."', 'weight': 15.0, 'source_id': 'chunk-d9aac3484185ac66045df92214d245d5chunk-8f738cb25d60a7dab782162d9d0a25ed'}> +2024-10-30 05:11:13,894 - lightrag - INFO - _check_edge_existence:query:MATCH (a:`SCROOGE`)-[r]-(b:`THE YARD`) RETURN COUNT(r) > 0 AS edgeExists:result:False +2024-10-30 05:11:14,055 - lightrag - INFO - _check_node_exists:query:MATCH (n:`SCROOGE`) RETURN count(n) > 0 AS node_exists:result:True +2024-10-30 05:11:14,234 - lightrag - INFO - _check_node_exists:query:MATCH (n:`THE YARD`) RETURN count(n) > 0 AS node_exists:result:True +2024-10-30 05:11:14,432 - lightrag - INFO - _do_upsert_edge:query: + MATCH (source:`SCROOGE`) WITH source - MATCH (target:`SCROOGE`) + MATCH (target:`THE YARD`) MERGE (source)-[r:DIRECTED]->(target) SET r += $properties RETURN r :result:None -2024-10-29 13:35:29,674 - lightrag - INFO - _check_edge_existence:query:MATCH (a:`CREDENTIALS`)-[r]-(b:`PORTLY GENTLEMEN`) RETURN COUNT(r) > 0 AS edgeExists:result:False -2024-10-29 13:35:29,849 - lightrag - INFO - _check_node_exists:query:MATCH (n:`CREDENTIALS`) RETURN count(n) > 0 AS node_exists:result:True -2024-10-29 13:35:30,022 - lightrag - INFO - _check_node_exists:query:MATCH (n:`PORTLY GENTLEMEN`) RETURN count(n) > 0 AS node_exists:result:True -2024-10-29 13:35:30,212 - lightrag - INFO - _do_upsert_edge:query: - MATCH (source:`CREDENTIALS`) +2024-10-30 05:11:14,623 - lightrag - INFO - _check_edge_existence:query:MATCH (a:`SCROOGE`)-[r]-(b:`THE FOG AND FROST`) RETURN COUNT(r) > 0 AS edgeExists:result:False +2024-10-30 05:11:14,778 - lightrag - INFO - _check_node_exists:query:MATCH (n:`SCROOGE`) RETURN count(n) > 0 AS node_exists:result:True +2024-10-30 05:11:14,952 - lightrag - INFO - _check_node_exists:query:MATCH (n:`THE FOG AND FROST`) RETURN count(n) > 0 AS node_exists:result:True +2024-10-30 05:11:15,149 - lightrag - INFO - _do_upsert_edge:query: + MATCH (source:`SCROOGE`) WITH source - MATCH (target:`PORTLY GENTLEMEN`) + MATCH (target:`THE FOG AND FROST`) MERGE (source)-[r:DIRECTED]->(target) SET r += $properties RETURN r :result:None -2024-10-29 13:35:30,407 - lightrag - INFO - _check_edge_existence:query:MATCH (a:`CHRISTMAS-TIME`)-[r]-(b:`SCROOGE`) RETURN COUNT(r) > 0 AS edgeExists:result:False -2024-10-29 13:35:30,588 - lightrag - INFO - _check_node_exists:query:MATCH (n:`CHRISTMAS-TIME`) RETURN count(n) > 0 AS node_exists:result:True -2024-10-29 13:35:30,766 - lightrag - INFO - _check_node_exists:query:MATCH (n:`SCROOGE`) RETURN count(n) > 0 AS node_exists:result:True -2024-10-29 13:35:30,954 - lightrag - INFO - _do_upsert_edge:query: - MATCH (source:`CHRISTMAS-TIME`) +2024-10-30 05:11:15,335 - lightrag - INFO - _check_edge_existence:query:MATCH (a:`BOB CRATCHIT`)-[r]-(b:`THE COUNTING-HOUSE CLERK`) RETURN COUNT(r) > 0 AS edgeExists:result:False +2024-10-30 05:11:15,517 - lightrag - INFO - _check_node_exists:query:MATCH (n:`BOB CRATCHIT`) RETURN count(n) > 0 AS node_exists:result:True +2024-10-30 05:11:15,692 - lightrag - INFO - _check_node_exists:query:MATCH (n:`THE COUNTING-HOUSE CLERK`) RETURN count(n) > 0 AS node_exists:result:True +2024-10-30 05:11:15,874 - lightrag - INFO - _do_upsert_edge:query: + MATCH (source:`BOB CRATCHIT`) WITH source - MATCH (target:`SCROOGE`) + MATCH (target:`THE COUNTING-HOUSE CLERK`) MERGE (source)-[r:DIRECTED]->(target) SET r += $properties RETURN r :result:None -2024-10-29 13:35:31,143 - lightrag - INFO - _check_edge_existence:query:MATCH (a:`BEDLAM`)-[r]-(b:`SCROOGE'S NEPHEW`) RETURN COUNT(r) > 0 AS edgeExists:result:False -2024-10-29 13:35:31,319 - lightrag - INFO - _check_node_exists:query:MATCH (n:`BEDLAM`) RETURN count(n) > 0 AS node_exists:result:True -2024-10-29 13:35:31,489 - lightrag - INFO - _check_node_exists:query:MATCH (n:`SCROOGE'S NEPHEW`) RETURN count(n) > 0 AS node_exists:result:True -2024-10-29 13:35:31,675 - lightrag - INFO - _do_upsert_edge:query: - MATCH (source:`BEDLAM`) +2024-10-30 05:11:16,066 - lightrag - INFO - _check_edge_existence:query:MATCH (a:`SCROOGE`)-[r]-(b:`THE GHOST OF MARLEY`) RETURN COUNT(r) > 0 AS edgeExists:result:True +2024-10-30 05:11:16,217 - lightrag - INFO - get_edge:query: + MATCH (source:`SCROOGE`)-[r]-(target:`THE GHOST OF MARLEY`) + RETURN r + :result:, ) type='DIRECTED' properties={'keywords': '"supernatural, moral reckoning"', 'description': '"The Ghost of Marley symbolizes Scrooge\'s past mistakes and serves as a catalyst for his transformation."', 'weight': 9.0, 'source_id': 'chunk-d9aac3484185ac66045df92214d245d5'}> +2024-10-30 05:11:16,359 - lightrag - INFO - _check_edge_existence:query:MATCH (a:`BOB CRATCHIT`)-[r]-(b:`CAMDEN TOWN`) RETURN COUNT(r) > 0 AS edgeExists:result:True +2024-10-30 05:11:16,497 - lightrag - INFO - get_edge:query: + MATCH (source:`BOB CRATCHIT`)-[r]-(target:`CAMDEN TOWN`) + RETURN r + :result:, ) type='DIRECTED' properties={'keywords': '"contrast, warmth"', 'description': '"Camden Town serves as a location representing warmth and family contrast to Scrooge\'s loneliness."', 'weight': 6.0, 'source_id': 'chunk-d9aac3484185ac66045df92214d245d5'}> +2024-10-30 05:11:16,635 - lightrag - INFO - _check_edge_existence:query:MATCH (a:`THE CANDLE`)-[r]-(b:`THE FOG AND FROST`) RETURN COUNT(r) > 0 AS edgeExists:result:False +2024-10-30 05:11:16,802 - lightrag - INFO - _check_node_exists:query:MATCH (n:`THE CANDLE`) RETURN count(n) > 0 AS node_exists:result:True +2024-10-30 05:11:16,979 - lightrag - INFO - _check_node_exists:query:MATCH (n:`THE FOG AND FROST`) RETURN count(n) > 0 AS node_exists:result:True +2024-10-30 05:11:17,169 - lightrag - INFO - _do_upsert_edge:query: + MATCH (source:`THE CANDLE`) WITH source - MATCH (target:`SCROOGE'S NEPHEW`) + MATCH (target:`THE FOG AND FROST`) MERGE (source)-[r:DIRECTED]->(target) SET r += $properties RETURN r :result:None -2024-10-29 13:35:31,877 - lightrag - INFO - _check_edge_existence:query:MATCH (a:`SCROOGE`)-[r]-(b:`THE GENTLEMAN`) RETURN COUNT(r) > 0 AS edgeExists:result:False -2024-10-29 13:35:32,040 - lightrag - INFO - _check_node_exists:query:MATCH (n:`SCROOGE`) RETURN count(n) > 0 AS node_exists:result:True -2024-10-29 13:35:32,210 - lightrag - INFO - _check_node_exists:query:MATCH (n:`THE GENTLEMAN`) RETURN count(n) > 0 AS node_exists:result:True -2024-10-29 13:35:32,398 - lightrag - INFO - _do_upsert_edge:query: - MATCH (source:`SCROOGE`) +2024-10-30 05:11:17,360 - lightrag - INFO - _check_edge_existence:query:MATCH (a:`SCROOGE`)-[r]-(b:`THE HOUSE`) RETURN COUNT(r) > 0 AS edgeExists:result:True +2024-10-30 05:11:17,497 - lightrag - INFO - get_edge:query: + MATCH (source:`SCROOGE`)-[r]-(target:`THE HOUSE`) + RETURN r + :result:, ) type='DIRECTED' properties={'keywords': '"haunting, setting influence"', 'description': '"Scrooge\'s experiences with Marley\'s Ghost occur within The House, which plays a crucial role in the haunting atmosphere."', 'weight': 8.0, 'source_id': 'chunk-9c43dac2fcd5b578242d907ea6f8fc7b'}> +2024-10-30 05:11:17,635 - lightrag - INFO - _check_edge_existence:query:MATCH (a:`MARLEY`)-[r]-(b:`THE GHOST`) RETURN COUNT(r) > 0 AS edgeExists:result:False +2024-10-30 05:11:17,808 - lightrag - INFO - _check_node_exists:query:MATCH (n:`MARLEY`) RETURN count(n) > 0 AS node_exists:result:True +2024-10-30 05:11:17,981 - lightrag - INFO - _check_node_exists:query:MATCH (n:`THE GHOST`) RETURN count(n) > 0 AS node_exists:result:True +2024-10-30 05:11:18,166 - lightrag - INFO - _do_upsert_edge:query: + MATCH (source:`MARLEY`) WITH source - MATCH (target:`THE GENTLEMAN`) + MATCH (target:`THE GHOST`) MERGE (source)-[r:DIRECTED]->(target) SET r += $properties RETURN r :result:None -2024-10-29 13:35:32,585 - lightrag - INFO - _check_edge_existence:query:MATCH (a:`THE GENTLEMAN`)-[r]-(b:`THE UNION WORKHOUSES`) RETURN COUNT(r) > 0 AS edgeExists:result:False -2024-10-29 13:35:32,767 - lightrag - INFO - _check_node_exists:query:MATCH (n:`THE GENTLEMAN`) RETURN count(n) > 0 AS node_exists:result:True -2024-10-29 13:35:32,943 - lightrag - INFO - _check_node_exists:query:MATCH (n:`THE UNION WORKHOUSES`) RETURN count(n) > 0 AS node_exists:result:True -2024-10-29 13:35:33,127 - lightrag - INFO - _do_upsert_edge:query: - MATCH (source:`THE GENTLEMAN`) +2024-10-30 05:11:18,351 - lightrag - INFO - _check_edge_existence:query:MATCH (a:`SCROOGE`)-[r]-(b:`THE BELL`) RETURN COUNT(r) > 0 AS edgeExists:result:True +2024-10-30 05:11:18,487 - lightrag - INFO - get_edge:query: + MATCH (source:`SCROOGE`)-[r]-(target:`THE BELL`) + RETURN r + :result:, ) type='DIRECTED' properties={'keywords': '"foreboding, supernatural"', 'description': '"The Bell\'s movement and sound foreshadow Marley\'s Ghost\'s appearance, enhancing the sense of impending supernatural activity in Scrooge\'s environment."', 'weight': 8.0, 'source_id': 'chunk-9c43dac2fcd5b578242d907ea6f8fc7b'}> +2024-10-30 05:11:18,630 - lightrag - INFO - _check_edge_existence:query:MATCH (a:`MARLEY`)-[r]-(b:`THE HEAVY CHAIN`) RETURN COUNT(r) > 0 AS edgeExists:result:False +2024-10-30 05:11:18,800 - lightrag - INFO - _check_node_exists:query:MATCH (n:`MARLEY`) RETURN count(n) > 0 AS node_exists:result:True +2024-10-30 05:11:18,974 - lightrag - INFO - _check_node_exists:query:MATCH (n:`THE HEAVY CHAIN`) RETURN count(n) > 0 AS node_exists:result:True +2024-10-30 05:11:19,159 - lightrag - INFO - _do_upsert_edge:query: + MATCH (source:`MARLEY`) WITH source - MATCH (target:`THE UNION WORKHOUSES`) + MATCH (target:`THE HEAVY CHAIN`) MERGE (source)-[r:DIRECTED]->(target) SET r += $properties RETURN r :result:None -2024-10-29 13:35:33,317 - lightrag - INFO - _check_edge_existence:query:MATCH (a:`THE TREADMILL`)-[r]-(b:`THE UNION WORKHOUSES`) RETURN COUNT(r) > 0 AS edgeExists:result:False -2024-10-29 13:35:33,490 - lightrag - INFO - _check_node_exists:query:MATCH (n:`THE TREADMILL`) RETURN count(n) > 0 AS node_exists:result:True -2024-10-29 13:35:33,663 - lightrag - INFO - _check_node_exists:query:MATCH (n:`THE UNION WORKHOUSES`) RETURN count(n) > 0 AS node_exists:result:True -2024-10-29 13:35:33,853 - lightrag - INFO - _do_upsert_edge:query: - MATCH (source:`THE TREADMILL`) +2024-10-30 05:11:19,360 - lightrag - INFO - _check_edge_existence:query:MATCH (a:`SCROOGE`)-[r]-(b:`THE WINE-MERCHANT'S CELLAR`) RETURN COUNT(r) > 0 AS edgeExists:result:False +2024-10-30 05:11:19,527 - lightrag - INFO - _check_node_exists:query:MATCH (n:`SCROOGE`) RETURN count(n) > 0 AS node_exists:result:True +2024-10-30 05:11:19,705 - lightrag - INFO - _check_node_exists:query:MATCH (n:`THE WINE-MERCHANT'S CELLAR`) RETURN count(n) > 0 AS node_exists:result:True +2024-10-30 05:11:19,896 - lightrag - INFO - _do_upsert_edge:query: + MATCH (source:`SCROOGE`) WITH source - MATCH (target:`THE UNION WORKHOUSES`) + MATCH (target:`THE WINE-MERCHANT'S CELLAR`) MERGE (source)-[r:DIRECTED]->(target) SET r += $properties RETURN r :result:None -2024-10-29 13:35:34,033 - lightrag - INFO - _check_edge_existence:query:MATCH (a:`CHRISTMAS`)-[r]-(b:`THE MANSION HOUSE`) RETURN COUNT(r) > 0 AS edgeExists:result:False -2024-10-29 13:35:34,201 - lightrag - INFO - _check_node_exists:query:MATCH (n:`CHRISTMAS`) RETURN count(n) > 0 AS node_exists:result:True -2024-10-29 13:35:34,379 - lightrag - INFO - _check_node_exists:query:MATCH (n:`THE MANSION HOUSE`) RETURN count(n) > 0 AS node_exists:result:True -2024-10-29 13:35:34,580 - lightrag - INFO - _do_upsert_edge:query: - MATCH (source:`CHRISTMAS`) +2024-10-30 05:11:20,089 - lightrag - INFO - _check_edge_existence:query:MATCH (a:`SCROOGE`)-[r]-(b:`THE GRATE`) RETURN COUNT(r) > 0 AS edgeExists:result:True +2024-10-30 05:11:20,228 - lightrag - INFO - get_edge:query: + MATCH (source:`SCROOGE`)-[r]-(target:`THE GRATE`) + RETURN r + :result:, ) type='DIRECTED' properties={'keywords': '"isolation, setting mood"', 'description': '"The Grate\'s cold fire adds to the bleak setting of Scrooge\'s home, illustrating his disconnection from warmth and comfort before the supernatural events unfold."', 'weight': 6.0, 'source_id': 'chunk-9c43dac2fcd5b578242d907ea6f8fc7b'}> +2024-10-30 05:11:20,370 - lightrag - INFO - _check_edge_existence:query:MATCH (a:`SCROOGE`)-[r]-(b:`THE DYING FLAME`) RETURN COUNT(r) > 0 AS edgeExists:result:False +2024-10-30 05:11:20,535 - lightrag - INFO - _check_node_exists:query:MATCH (n:`SCROOGE`) RETURN count(n) > 0 AS node_exists:result:True +2024-10-30 05:11:20,706 - lightrag - INFO - _check_node_exists:query:MATCH (n:`THE DYING FLAME`) RETURN count(n) > 0 AS node_exists:result:True +2024-10-30 05:11:20,892 - lightrag - INFO - _do_upsert_edge:query: + MATCH (source:`SCROOGE`) WITH source - MATCH (target:`THE MANSION HOUSE`) + MATCH (target:`THE DYING FLAME`) MERGE (source)-[r:DIRECTED]->(target) SET r += $properties RETURN r :result:None -2024-10-29 13:35:34,774 - lightrag - INFO - _check_edge_existence:query:MATCH (a:`SCROOGE`)-[r]-(b:`THE MAIN STREET`) RETURN COUNT(r) > 0 AS edgeExists:result:False -2024-10-29 13:35:34,943 - lightrag - INFO - _check_node_exists:query:MATCH (n:`SCROOGE`) RETURN count(n) > 0 AS node_exists:result:True -2024-10-29 13:35:35,122 - lightrag - INFO - _check_node_exists:query:MATCH (n:`THE MAIN STREET`) RETURN count(n) > 0 AS node_exists:result:True -2024-10-29 13:35:35,306 - lightrag - INFO - _do_upsert_edge:query: - MATCH (source:`SCROOGE`) +2024-10-30 05:11:21,082 - lightrag - INFO - _check_edge_existence:query:MATCH (a:`MARLEY'S GHOST`)-[r]-(b:`SCROOGE`) RETURN COUNT(r) > 0 AS edgeExists:result:True +2024-10-30 05:11:21,221 - lightrag - INFO - get_edge:query: + MATCH (source:`MARLEY'S GHOST`)-[r]-(target:`SCROOGE`) + RETURN r + :result:, ) type='DIRECTED' properties={'keywords': '"supernatural confrontation, regret""warning, fate"', 'description': '"Marley\'s Ghost warns Scrooge about the consequences of his actions and the visits of the three spirits, setting the stage for his transformation.""Scrooge is haunted by Marley\'s Ghost, which confronts him as a part of a supernatural occurrence meant to incite fear and reflection on his life choices."', 'weight': 18.0, 'source_id': 'chunk-9c43dac2fcd5b578242d907ea6f8fc7bchunk-cb661c37436355ccec2769b1d0350c5f'}> +2024-10-30 05:11:21,363 - lightrag - INFO - _check_edge_existence:query:MATCH (a:`JACOB MARLEY`)-[r]-(b:`MARLEY'S GHOST`) RETURN COUNT(r) > 0 AS edgeExists:result:False +2024-10-30 05:11:21,540 - lightrag - INFO - _check_node_exists:query:MATCH (n:`JACOB MARLEY`) RETURN count(n) > 0 AS node_exists:result:True +2024-10-30 05:11:21,713 - lightrag - INFO - _check_node_exists:query:MATCH (n:`MARLEY'S GHOST`) RETURN count(n) > 0 AS node_exists:result:True +2024-10-30 05:11:21,905 - lightrag - INFO - _do_upsert_edge:query: + MATCH (source:`JACOB MARLEY`) WITH source - MATCH (target:`THE MAIN STREET`) + MATCH (target:`MARLEY'S GHOST`) MERGE (source)-[r:DIRECTED]->(target) SET r += $properties RETURN r :result:None -2024-10-29 13:35:35,496 - lightrag - INFO - _check_edge_existence:query:MATCH (a:`BOB CRATCHIT`)-[r]-(b:`SCROOGE`) RETURN COUNT(r) > 0 AS edgeExists:result:False -2024-10-29 13:35:35,671 - lightrag - INFO - _check_node_exists:query:MATCH (n:`BOB CRATCHIT`) RETURN count(n) > 0 AS node_exists:result:True -2024-10-29 13:35:35,834 - lightrag - INFO - _check_node_exists:query:MATCH (n:`SCROOGE`) RETURN count(n) > 0 AS node_exists:result:True -2024-10-29 13:35:36,024 - lightrag - INFO - _do_upsert_edge:query: - MATCH (source:`BOB CRATCHIT`) +2024-10-30 05:11:22,093 - lightrag - INFO - _check_edge_existence:query:MATCH (a:`GHOST`)-[r]-(b:`SCROOGE`) RETURN COUNT(r) > 0 AS edgeExists:result:True +2024-10-30 05:11:22,231 - lightrag - INFO - get_edge:query: + MATCH (source:`GHOST`)-[r]-(target:`SCROOGE`) + RETURN r + :result:, ) type='DIRECTED' properties={'keywords': '"reflection, self-discovery""spiritual guidance, transformation"', 'description': '"The Ghost guides Scrooge through reflections of his past, influencing his journey toward redemption.""The Ghost takes Scrooge on a journey to teach him lessons about generosity and compassion towards others."', 'weight': 17.0, 'source_id': 'chunk-c6c248858d1b13ab7ee9ca13c1aeed6bchunk-e7637ff18c5ded77a68cce0a87883fad'}> +2024-10-30 05:11:22,372 - lightrag - INFO - _check_edge_existence:query:MATCH (a:`GHOST`)-[r]-(b:`JACOB MARLEY`) RETURN COUNT(r) > 0 AS edgeExists:result:False +2024-10-30 05:11:22,548 - lightrag - INFO - _check_node_exists:query:MATCH (n:`GHOST`) RETURN count(n) > 0 AS node_exists:result:True +2024-10-30 05:11:22,720 - lightrag - INFO - _check_node_exists:query:MATCH (n:`JACOB MARLEY`) RETURN count(n) > 0 AS node_exists:result:True +2024-10-30 05:11:22,906 - lightrag - INFO - _do_upsert_edge:query: + MATCH (source:`GHOST`) WITH source - MATCH (target:`SCROOGE`) + MATCH (target:`JACOB MARLEY`) MERGE (source)-[r:DIRECTED]->(target) SET r += $properties RETURN r :result:None -2024-10-29 13:35:36,207 - lightrag - INFO - _check_edge_existence:query:MATCH (a:`BOB CRATCHIT`)-[r]-(b:`CHRISTMAS EVE`) RETURN COUNT(r) > 0 AS edgeExists:result:False -2024-10-29 13:35:36,382 - lightrag - INFO - _check_node_exists:query:MATCH (n:`BOB CRATCHIT`) RETURN count(n) > 0 AS node_exists:result:True -2024-10-29 13:35:36,557 - lightrag - INFO - _check_node_exists:query:MATCH (n:`CHRISTMAS EVE`) RETURN count(n) > 0 AS node_exists:result:True -2024-10-29 13:35:36,742 - lightrag - INFO - _do_upsert_edge:query: - MATCH (source:`BOB CRATCHIT`) +2024-10-30 05:11:23,095 - lightrag - INFO - _check_edge_existence:query:MATCH (a:`JACOB MARLEY`)-[r]-(b:`SCROOGE`) RETURN COUNT(r) > 0 AS edgeExists:result:True +2024-10-30 05:11:23,236 - lightrag - INFO - get_edge:query: + MATCH (source:`JACOB MARLEY`)-[r]-(target:`SCROOGE`) + RETURN r + :result:, ) type='DIRECTED' properties={'keywords': '"catalyst for change, supernatural guidance""past influence, warning""redemption, moral lesson""supernatural encounter, past ties""transformation, influence""warning, transformation"', 'description': '"Jacob Marley is the spirit who brings forth the need for Scrooge to change his ways, impacting his character development.""Scrooge confronts Jacob Marley, his former business partner, who returns as a ghost to influence Scrooge\'s perspective on life and his actions.""Scrooge converses with the ghost of Jacob Marley, who tries to guide him toward understanding the importance of compassion and the consequences of his actions.""Scrooge interacts with Jacob Marley, who serves as a critical warning for Scrooge to change his ways before it\'s too late.""Scrooge reflects on Jacob Marley’s past warnings, which serve as a catalyst for his transformation.""Scrooge\'s transformation is prompted by the appearance and message of Jacob Marley, his former business partner."', 'weight': 54.0, 'source_id': 'chunk-90b95db5c53e4364a6bee36b7aa4d70fchunk-1aa50206d02ed89418f65f97c6441d1cchunk-02baee20cc9463dbe08170a8e1043e32chunk-91572b3cd42786ba4cb2f180ca25cbf4chunk-da2472b4ef2a535b62908f14d0fb0ca9chunk-359187e7571bda4b0b08b2e0b6581e52'}> +2024-10-30 05:11:23,380 - lightrag - INFO - _check_edge_existence:query:MATCH (a:`GHOST`)-[r]-(b:`MANKIND`) RETURN COUNT(r) > 0 AS edgeExists:result:False +2024-10-30 05:11:23,556 - lightrag - INFO - _check_node_exists:query:MATCH (n:`GHOST`) RETURN count(n) > 0 AS node_exists:result:True +2024-10-30 05:11:23,731 - lightrag - INFO - _check_node_exists:query:MATCH (n:`MANKIND`) RETURN count(n) > 0 AS node_exists:result:True +2024-10-30 05:11:23,909 - lightrag - INFO - _do_upsert_edge:query: + MATCH (source:`GHOST`) WITH source - MATCH (target:`CHRISTMAS EVE`) + MATCH (target:`MANKIND`) MERGE (source)-[r:DIRECTED]->(target) SET r += $properties RETURN r :result:None -2024-10-29 13:35:36,931 - lightrag - INFO - _check_edge_existence:query:MATCH (a:`LONDON`)-[r]-(b:`SCROOGE`) RETURN COUNT(r) > 0 AS edgeExists:result:False -2024-10-29 13:35:37,106 - lightrag - INFO - _check_node_exists:query:MATCH (n:`LONDON`) RETURN count(n) > 0 AS node_exists:result:True -2024-10-29 13:35:37,266 - lightrag - INFO - _check_node_exists:query:MATCH (n:`SCROOGE`) RETURN count(n) > 0 AS node_exists:result:True -2024-10-29 13:35:37,448 - lightrag - INFO - _do_upsert_edge:query: - MATCH (source:`LONDON`) +2024-10-30 05:11:24,090 - lightrag - INFO - _check_edge_existence:query:MATCH (a:`CHRISTMAS EVES`)-[r]-(b:`SCROOGE`) RETURN COUNT(r) > 0 AS edgeExists:result:False +2024-10-30 05:11:24,266 - lightrag - INFO - _check_node_exists:query:MATCH (n:`CHRISTMAS EVES`) RETURN count(n) > 0 AS node_exists:result:True +2024-10-30 05:11:24,426 - lightrag - INFO - _check_node_exists:query:MATCH (n:`SCROOGE`) RETURN count(n) > 0 AS node_exists:result:True +2024-10-30 05:11:24,613 - lightrag - INFO - _do_upsert_edge:query: + MATCH (source:`CHRISTMAS EVES`) WITH source MATCH (target:`SCROOGE`) MERGE (source)-[r:DIRECTED]->(target) SET r += $properties RETURN r :result:None -2024-10-29 13:35:37,632 - lightrag - INFO - _check_edge_existence:query:MATCH (a:`CLERK`)-[r]-(b:`SCROOGE`) RETURN COUNT(r) > 0 AS edgeExists:result:False -2024-10-29 13:35:37,813 - lightrag - INFO - _check_node_exists:query:MATCH (n:`CLERK`) RETURN count(n) > 0 AS node_exists:result:True -2024-10-29 13:35:37,978 - lightrag - INFO - _check_node_exists:query:MATCH (n:`SCROOGE`) RETURN count(n) > 0 AS node_exists:result:True -2024-10-29 13:35:38,162 - lightrag - INFO - _do_upsert_edge:query: - MATCH (source:`CLERK`) +2024-10-30 05:11:24,806 - lightrag - INFO - _check_edge_existence:query:MATCH (a:`ETERNAL CHAIN`)-[r]-(b:`GHOST`) RETURN COUNT(r) > 0 AS edgeExists:result:False +2024-10-30 05:11:24,980 - lightrag - INFO - _check_node_exists:query:MATCH (n:`ETERNAL CHAIN`) RETURN count(n) > 0 AS node_exists:result:True +2024-10-30 05:11:25,147 - lightrag - INFO - _check_node_exists:query:MATCH (n:`GHOST`) RETURN count(n) > 0 AS node_exists:result:True +2024-10-30 05:11:25,336 - lightrag - INFO - _do_upsert_edge:query: + MATCH (source:`ETERNAL CHAIN`) WITH source - MATCH (target:`SCROOGE`) + MATCH (target:`GHOST`) MERGE (source)-[r:DIRECTED]->(target) SET r += $properties RETURN r :result:None -2024-10-29 13:35:38,343 - lightrag - INFO - _check_edge_existence:query:MATCH (a:`BOB CRATCHIT`)-[r]-(b:`THE COUNTING-HOUSE`) RETURN COUNT(r) > 0 AS edgeExists:result:False -2024-10-29 13:35:38,508 - lightrag - INFO - _check_node_exists:query:MATCH (n:`BOB CRATCHIT`) RETURN count(n) > 0 AS node_exists:result:True -2024-10-29 13:35:38,684 - lightrag - INFO - _check_node_exists:query:MATCH (n:`THE COUNTING-HOUSE`) RETURN count(n) > 0 AS node_exists:result:True -2024-10-29 13:35:38,878 - lightrag - INFO - _do_upsert_edge:query: - MATCH (source:`BOB CRATCHIT`) +2024-10-30 05:11:25,525 - lightrag - INFO - _check_edge_existence:query:MATCH (a:`STAR`)-[r]-(b:`WISE MEN`) RETURN COUNT(r) > 0 AS edgeExists:result:False +2024-10-30 05:11:25,695 - lightrag - INFO - _check_node_exists:query:MATCH (n:`STAR`) RETURN count(n) > 0 AS node_exists:result:True +2024-10-30 05:11:25,900 - lightrag - INFO - _check_node_exists:query:MATCH (n:`WISE MEN`) RETURN count(n) > 0 AS node_exists:result:True +2024-10-30 05:11:26,085 - lightrag - INFO - _do_upsert_edge:query: + MATCH (source:`STAR`) WITH source - MATCH (target:`THE COUNTING-HOUSE`) + MATCH (target:`WISE MEN`) MERGE (source)-[r:DIRECTED]->(target) SET r += $properties RETURN r :result:None -2024-10-29 13:35:39,064 - lightrag - INFO - _check_edge_existence:query:MATCH (a:`FOG`)-[r]-(b:`SCROOGE`) RETURN COUNT(r) > 0 AS edgeExists:result:False -2024-10-29 13:35:39,236 - lightrag - INFO - _check_node_exists:query:MATCH (n:`FOG`) RETURN count(n) > 0 AS node_exists:result:True -2024-10-29 13:35:39,401 - lightrag - INFO - _check_node_exists:query:MATCH (n:`SCROOGE`) RETURN count(n) > 0 AS node_exists:result:True -2024-10-29 13:35:39,586 - lightrag - INFO - _do_upsert_edge:query: - MATCH (source:`FOG`) +2024-10-30 05:11:26,271 - lightrag - INFO - _check_edge_existence:query:MATCH (a:`FELLOW-BEINGS`)-[r]-(b:`SCROOGE`) RETURN COUNT(r) > 0 AS edgeExists:result:False +2024-10-30 05:11:26,454 - lightrag - INFO - _check_node_exists:query:MATCH (n:`FELLOW-BEINGS`) RETURN count(n) > 0 AS node_exists:result:True +2024-10-30 05:11:26,614 - lightrag - INFO - _check_node_exists:query:MATCH (n:`SCROOGE`) RETURN count(n) > 0 AS node_exists:result:True +2024-10-30 05:11:26,794 - lightrag - INFO - _do_upsert_edge:query: + MATCH (source:`FELLOW-BEINGS`) WITH source MATCH (target:`SCROOGE`) MERGE (source)-[r:DIRECTED]->(target) SET r += $properties RETURN r :result:None -2024-10-29 13:35:39,774 - lightrag - INFO - _check_edge_existence:query:MATCH (a:`FROST`)-[r]-(b:`SCROOGE`) RETURN COUNT(r) > 0 AS edgeExists:result:False -2024-10-29 13:35:39,951 - lightrag - INFO - _check_node_exists:query:MATCH (n:`FROST`) RETURN count(n) > 0 AS node_exists:result:True -2024-10-29 13:35:40,115 - lightrag - INFO - _check_node_exists:query:MATCH (n:`SCROOGE`) RETURN count(n) > 0 AS node_exists:result:True -2024-10-29 13:35:40,301 - lightrag - INFO - _do_upsert_edge:query: - MATCH (source:`FROST`) +2024-10-30 05:11:26,978 - lightrag - INFO - _check_edge_existence:query:MATCH (a:`CHRISTMAS SPIRIT`)-[r]-(b:`GHOST`) RETURN COUNT(r) > 0 AS edgeExists:result:False +2024-10-30 05:11:27,150 - lightrag - INFO - _check_node_exists:query:MATCH (n:`CHRISTMAS SPIRIT`) RETURN count(n) > 0 AS node_exists:result:True +2024-10-30 05:11:27,312 - lightrag - INFO - _check_node_exists:query:MATCH (n:`GHOST`) RETURN count(n) > 0 AS node_exists:result:True +2024-10-30 05:11:27,502 - lightrag - INFO - _do_upsert_edge:query: + MATCH (source:`CHRISTMAS SPIRIT`) WITH source - MATCH (target:`SCROOGE`) + MATCH (target:`GHOST`) MERGE (source)-[r:DIRECTED]->(target) SET r += $properties RETURN r :result:None -2024-10-29 13:35:40,485 - lightrag - INFO - _check_edge_existence:query:MATCH (a:`BOB CRATCHIT`)-[r]-(b:`CAMDEN TOWN`) RETURN COUNT(r) > 0 AS edgeExists:result:False -2024-10-29 13:35:40,648 - lightrag - INFO - _check_node_exists:query:MATCH (n:`BOB CRATCHIT`) RETURN count(n) > 0 AS node_exists:result:True -2024-10-29 13:35:40,827 - lightrag - INFO - _check_node_exists:query:MATCH (n:`CAMDEN TOWN`) RETURN count(n) > 0 AS node_exists:result:True -2024-10-29 13:35:41,022 - lightrag - INFO - _do_upsert_edge:query: - MATCH (source:`BOB CRATCHIT`) +2024-10-30 05:11:27,684 - lightrag - INFO - _check_edge_existence:query:MATCH (a:`GHOST`)-[r]-(b:`SPECTRE`) RETURN COUNT(r) > 0 AS edgeExists:result:False +2024-10-30 05:11:27,838 - lightrag - INFO - _check_node_exists:query:MATCH (n:`GHOST`) RETURN count(n) > 0 AS node_exists:result:True +2024-10-30 05:11:28,004 - lightrag - INFO - _check_node_exists:query:MATCH (n:`SPECTRE`) RETURN count(n) > 0 AS node_exists:result:True +2024-10-30 05:11:28,187 - lightrag - INFO - _do_upsert_edge:query: + MATCH (source:`GHOST`) WITH source - MATCH (target:`CAMDEN TOWN`) + MATCH (target:`SPECTRE`) + MERGE (source)-[r:DIRECTED]->(target) + SET r += $properties + RETURN r + :result:None +2024-10-30 05:11:28,369 - lightrag - INFO - _check_edge_existence:query:MATCH (a:`JACOB MARLEY`)-[r]-(b:`THE THREE SPIRITS`) RETURN COUNT(r) > 0 AS edgeExists:result:False +2024-10-30 05:11:28,544 - lightrag - INFO - _check_node_exists:query:MATCH (n:`JACOB MARLEY`) RETURN count(n) > 0 AS node_exists:result:True +2024-10-30 05:11:28,716 - lightrag - INFO - _check_node_exists:query:MATCH (n:`THE THREE SPIRITS`) RETURN count(n) > 0 AS node_exists:result:True +2024-10-30 05:11:28,905 - lightrag - INFO - _do_upsert_edge:query: + MATCH (source:`JACOB MARLEY`) + WITH source + MATCH (target:`THE THREE SPIRITS`) MERGE (source)-[r:DIRECTED]->(target) SET r += $properties RETURN r :result:None -2024-10-29 13:35:41,203 - lightrag - INFO - _check_edge_existence:query:MATCH (a:`SCROOGE`)-[r]-(b:`THE GHOST OF MARLEY`) RETURN COUNT(r) > 0 AS edgeExists:result:False -2024-10-29 13:35:41,360 - lightrag - INFO - _check_node_exists:query:MATCH (n:`SCROOGE`) RETURN count(n) > 0 AS node_exists:result:True -2024-10-29 13:35:41,527 - lightrag - INFO - _check_node_exists:query:MATCH (n:`THE GHOST OF MARLEY`) RETURN count(n) > 0 AS node_exists:result:True -2024-10-29 13:35:41,709 - lightrag - INFO - _do_upsert_edge:query: +2024-10-30 05:11:29,094 - lightrag - INFO - _check_edge_existence:query:MATCH (a:`SCROOGE`)-[r]-(b:`THE GHOST`) RETURN COUNT(r) > 0 AS edgeExists:result:True +2024-10-30 05:11:29,232 - lightrag - INFO - get_edge:query: + MATCH (source:`SCROOGE`)-[r]-(target:`THE GHOST`) + RETURN r + :result:, ) type='DIRECTED' properties={'keywords': '"guidance, transformation""memory, influence""reflection, guidance""self-reflection, transformation"', 'description': '"Scrooge\'s engagement with The Ghost prompts a significant emotional and psychological transformation as he confronts his past.""The Ghost guides Scrooge through visions of his past, forcing him to confront his choices and their consequences.""The Ghost influences Scrooge\'s reflections on his past and his current emotions regarding Christmas festivities.""The Ghost serves as a catalyst for Scrooge\'s reflections, guiding him to confront his past and feelings about Christmas."', 'weight': 35.0, 'source_id': 'chunk-da2472b4ef2a535b62908f14d0fb0ca9chunk-43c9bee23adfa77aa9dedd22401bba7dchunk-54bdd22db1f84a965b5f4c06c9216d8dchunk-8590d9263cd2cd4fa583c432fc54e6c3'}> +2024-10-30 05:11:29,373 - lightrag - INFO - _check_edge_existence:query:MATCH (a:`SCROOGE`)-[r]-(b:`THE PHANTOM VOICES`) RETURN COUNT(r) > 0 AS edgeExists:result:False +2024-10-30 05:11:29,537 - lightrag - INFO - _check_node_exists:query:MATCH (n:`SCROOGE`) RETURN count(n) > 0 AS node_exists:result:True +2024-10-30 05:11:29,711 - lightrag - INFO - _check_node_exists:query:MATCH (n:`THE PHANTOM VOICES`) RETURN count(n) > 0 AS node_exists:result:True +2024-10-30 05:11:29,901 - lightrag - INFO - _do_upsert_edge:query: MATCH (source:`SCROOGE`) WITH source - MATCH (target:`THE GHOST OF MARLEY`) + MATCH (target:`THE PHANTOM VOICES`) MERGE (source)-[r:DIRECTED]->(target) SET r += $properties RETURN r :result:None -2024-10-29 13:35:41,895 - lightrag - INFO - _check_edge_existence:query:MATCH (a:`SCROOGE`)-[r]-(b:`THE KNOCKER`) RETURN COUNT(r) > 0 AS edgeExists:result:False -2024-10-29 13:35:42,064 - lightrag - INFO - _check_node_exists:query:MATCH (n:`SCROOGE`) RETURN count(n) > 0 AS node_exists:result:True -2024-10-29 13:35:42,239 - lightrag - INFO - _check_node_exists:query:MATCH (n:`THE KNOCKER`) RETURN count(n) > 0 AS node_exists:result:True -2024-10-29 13:35:42,426 - lightrag - INFO - _do_upsert_edge:query: +2024-10-30 05:11:30,088 - lightrag - INFO - _check_edge_existence:query:MATCH (a:`SCROOGE`)-[r]-(b:`THE WINDOW`) RETURN COUNT(r) > 0 AS edgeExists:result:False +2024-10-30 05:11:30,248 - lightrag - INFO - _check_node_exists:query:MATCH (n:`SCROOGE`) RETURN count(n) > 0 AS node_exists:result:True +2024-10-30 05:11:30,425 - lightrag - INFO - _check_node_exists:query:MATCH (n:`THE WINDOW`) RETURN count(n) > 0 AS node_exists:result:True +2024-10-30 05:11:30,614 - lightrag - INFO - _do_upsert_edge:query: MATCH (source:`SCROOGE`) WITH source - MATCH (target:`THE KNOCKER`) + MATCH (target:`THE WINDOW`) MERGE (source)-[r:DIRECTED]->(target) SET r += $properties RETURN r :result:None -2024-10-29 13:35:42,611 - lightrag - INFO - _check_edge_existence:query:MATCH (a:`MARLEY'S GHOST`)-[r]-(b:`SCROOGE`) RETURN COUNT(r) > 0 AS edgeExists:result:False -2024-10-29 13:35:42,782 - lightrag - INFO - _check_node_exists:query:MATCH (n:`MARLEY'S GHOST`) RETURN count(n) > 0 AS node_exists:result:True -2024-10-29 13:35:42,946 - lightrag - INFO - _check_node_exists:query:MATCH (n:`SCROOGE`) RETURN count(n) > 0 AS node_exists:result:True -2024-10-29 13:35:43,132 - lightrag - INFO - _do_upsert_edge:query: +2024-10-30 05:11:30,811 - lightrag - INFO - _check_edge_existence:query:MATCH (a:`MARLEY'S GHOST`)-[r]-(b:`THE CHAIN`) RETURN COUNT(r) > 0 AS edgeExists:result:False +2024-10-30 05:11:30,986 - lightrag - INFO - _check_node_exists:query:MATCH (n:`MARLEY'S GHOST`) RETURN count(n) > 0 AS node_exists:result:True +2024-10-30 05:11:31,159 - lightrag - INFO - _check_node_exists:query:MATCH (n:`THE CHAIN`) RETURN count(n) > 0 AS node_exists:result:True +2024-10-30 05:11:31,343 - lightrag - INFO - _do_upsert_edge:query: MATCH (source:`MARLEY'S GHOST`) WITH source - MATCH (target:`SCROOGE`) + MATCH (target:`THE CHAIN`) MERGE (source)-[r:DIRECTED]->(target) SET r += $properties RETURN r :result:None -2024-10-29 13:35:43,311 - lightrag - INFO - _check_edge_existence:query:MATCH (a:`SCROOGE`)-[r]-(b:`THE HOUSE`) RETURN COUNT(r) > 0 AS edgeExists:result:False -2024-10-29 13:35:43,474 - lightrag - INFO - _check_node_exists:query:MATCH (n:`SCROOGE`) RETURN count(n) > 0 AS node_exists:result:True -2024-10-29 13:35:43,653 - lightrag - INFO - _check_node_exists:query:MATCH (n:`THE HOUSE`) RETURN count(n) > 0 AS node_exists:result:True -2024-10-29 13:35:43,842 - lightrag - INFO - _do_upsert_edge:query: +2024-10-30 05:11:31,529 - lightrag - INFO - _check_edge_existence:query:MATCH (a:`SCROOGE`)-[r]-(b:`THE CLOCK`) RETURN COUNT(r) > 0 AS edgeExists:result:True +2024-10-30 05:11:31,667 - lightrag - INFO - get_edge:query: + MATCH (source:`SCROOGE`)-[r]-(target:`THE CLOCK`) + RETURN r + :result:, ) type='DIRECTED' properties={'keywords': '"time distortion, confusion"', 'description': '"Scrooge\'s interaction with the faulty clock symbolizes his disconnection from time and reality, as he struggles to comprehend his experiences."', 'weight': 6.0, 'source_id': 'chunk-cb661c37436355ccec2769b1d0350c5f'}> +2024-10-30 05:11:31,810 - lightrag - INFO - _check_edge_existence:query:MATCH (a:`SCROOGE`)-[r]-(b:`THE DARKNESS`) RETURN COUNT(r) > 0 AS edgeExists:result:False +2024-10-30 05:11:31,975 - lightrag - INFO - _check_node_exists:query:MATCH (n:`SCROOGE`) RETURN count(n) > 0 AS node_exists:result:True +2024-10-30 05:11:32,153 - lightrag - INFO - _check_node_exists:query:MATCH (n:`THE DARKNESS`) RETURN count(n) > 0 AS node_exists:result:True +2024-10-30 05:11:32,339 - lightrag - INFO - _do_upsert_edge:query: MATCH (source:`SCROOGE`) WITH source - MATCH (target:`THE HOUSE`) + MATCH (target:`THE DARKNESS`) MERGE (source)-[r:DIRECTED]->(target) SET r += $properties RETURN r :result:None -2024-10-29 13:35:44,029 - lightrag - INFO - _check_edge_existence:query:MATCH (a:`MARLEY`)-[r]-(b:`THE KNOCKER`) RETURN COUNT(r) > 0 AS edgeExists:result:False -2024-10-29 13:35:44,214 - lightrag - INFO - _check_node_exists:query:MATCH (n:`MARLEY`) RETURN count(n) > 0 AS node_exists:result:True -2024-10-29 13:35:44,389 - lightrag - INFO - _check_node_exists:query:MATCH (n:`THE KNOCKER`) RETURN count(n) > 0 AS node_exists:result:True -2024-10-29 13:35:44,567 - lightrag - INFO - _do_upsert_edge:query: - MATCH (source:`MARLEY`) +2024-10-30 05:11:32,527 - lightrag - INFO - _check_edge_existence:query:MATCH (a:`CLOCK`)-[r]-(b:`SCROOGE`) RETURN COUNT(r) > 0 AS edgeExists:result:False +2024-10-30 05:11:32,700 - lightrag - INFO - _check_node_exists:query:MATCH (n:`CLOCK`) RETURN count(n) > 0 AS node_exists:result:True +2024-10-30 05:11:32,861 - lightrag - INFO - _check_node_exists:query:MATCH (n:`SCROOGE`) RETURN count(n) > 0 AS node_exists:result:True +2024-10-30 05:11:33,053 - lightrag - INFO - _do_upsert_edge:query: + MATCH (source:`CLOCK`) WITH source - MATCH (target:`THE KNOCKER`) + MATCH (target:`SCROOGE`) MERGE (source)-[r:DIRECTED]->(target) SET r += $properties RETURN r :result:None -2024-10-29 13:35:44,751 - lightrag - INFO - _check_edge_existence:query:MATCH (a:`SCROOGE`)-[r]-(b:`THE BELL`) RETURN COUNT(r) > 0 AS edgeExists:result:False -2024-10-29 13:35:44,916 - lightrag - INFO - _check_node_exists:query:MATCH (n:`SCROOGE`) RETURN count(n) > 0 AS node_exists:result:True -2024-10-29 13:35:45,093 - lightrag - INFO - _check_node_exists:query:MATCH (n:`THE BELL`) RETURN count(n) > 0 AS node_exists:result:True -2024-10-29 13:35:45,276 - lightrag - INFO - _do_upsert_edge:query: - MATCH (source:`SCROOGE`) +2024-10-30 05:11:33,231 - lightrag - INFO - _check_edge_existence:query:MATCH (a:`SCROOGE`)-[r]-(b:`SPIRIT`) RETURN COUNT(r) > 0 AS edgeExists:result:True +2024-10-30 05:11:33,370 - lightrag - INFO - get_edge:query: + MATCH (source:`SCROOGE`)-[r]-(target:`SPIRIT`) + RETURN r + :result:, ) type='DIRECTED' properties={'keywords': '"guidance, emotional journey""guidance, transformation""personal growth, spiritual journey""reflection, guidance"', 'description': '"Scrooge engages with the Spirit, who guides him through reflections on his life and warns him of societal issues.""Scrooge learns from the Spirit about the consequences of his actions and the sentiments evoked by death, leading to personal growth.""Scrooge’s interaction with the Spirit emphasizes the emotional weight of his past decisions and feelings as they relate to his transformation.""The Spirit directly influences Scrooge’s transformation and highlights the importance of compassion in human life."', 'weight': 34.0, 'source_id': 'chunk-02baee20cc9463dbe08170a8e1043e32chunk-bb21d58d36c6306fd8810ddd51c4a971chunk-83ac129dc9b56f84c46760d153d68e93chunk-e7637ff18c5ded77a68cce0a87883fad'}> +2024-10-30 05:11:33,512 - lightrag - INFO - _check_edge_existence:query:MATCH (a:`GHOST OF CHRISTMAS PAST`)-[r]-(b:`WINTER DAY`) RETURN COUNT(r) > 0 AS edgeExists:result:False +2024-10-30 05:11:33,688 - lightrag - INFO - _check_node_exists:query:MATCH (n:`GHOST OF CHRISTMAS PAST`) RETURN count(n) > 0 AS node_exists:result:True +2024-10-30 05:11:33,874 - lightrag - INFO - _check_node_exists:query:MATCH (n:`WINTER DAY`) RETURN count(n) > 0 AS node_exists:result:True +2024-10-30 05:11:34,053 - lightrag - INFO - _do_upsert_edge:query: + MATCH (source:`GHOST OF CHRISTMAS PAST`) WITH source - MATCH (target:`THE BELL`) + MATCH (target:`WINTER DAY`) MERGE (source)-[r:DIRECTED]->(target) SET r += $properties RETURN r :result:None -2024-10-29 13:35:45,458 - lightrag - INFO - _check_edge_existence:query:MATCH (a:`MARLEY'S GHOST`)-[r]-(b:`THE WINE-MERCHANT'S CELLAR`) RETURN COUNT(r) > 0 AS edgeExists:result:False -2024-10-29 13:35:45,631 - lightrag - INFO - _check_node_exists:query:MATCH (n:`MARLEY'S GHOST`) RETURN count(n) > 0 AS node_exists:result:True -2024-10-29 13:35:45,804 - lightrag - INFO - _check_node_exists:query:MATCH (n:`THE WINE-MERCHANT'S CELLAR`) RETURN count(n) > 0 AS node_exists:result:True -2024-10-29 13:35:45,991 - lightrag - INFO - _do_upsert_edge:query: - MATCH (source:`MARLEY'S GHOST`) +2024-10-30 05:11:34,234 - lightrag - INFO - _check_edge_existence:query:MATCH (a:`MARKET-TOWN`)-[r]-(b:`SCROOGE`) RETURN COUNT(r) > 0 AS edgeExists:result:True +2024-10-30 05:11:34,366 - lightrag - INFO - get_edge:query: + MATCH (source:`MARKET-TOWN`)-[r]-(target:`SCROOGE`) + RETURN r + :result:, ) type='DIRECTED' properties={'keywords': '"nostalgia, memory"', 'description': '"Scrooge recognizes the Market-Town, eliciting fond memories from his childhood and emphasizing his emotional response to the past."', 'weight': 7.0, 'source_id': 'chunk-bb21d58d36c6306fd8810ddd51c4a971'}> +2024-10-30 05:11:34,509 - lightrag - INFO - _check_edge_existence:query:MATCH (a:`BOYS`)-[r]-(b:`SCROOGE`) RETURN COUNT(r) > 0 AS edgeExists:result:False +2024-10-30 05:11:34,690 - lightrag - INFO - _check_node_exists:query:MATCH (n:`BOYS`) RETURN count(n) > 0 AS node_exists:result:True +2024-10-30 05:11:34,875 - lightrag - INFO - _check_node_exists:query:MATCH (n:`SCROOGE`) RETURN count(n) > 0 AS node_exists:result:True +2024-10-30 05:11:35,067 - lightrag - INFO - _do_upsert_edge:query: + MATCH (source:`BOYS`) WITH source - MATCH (target:`THE WINE-MERCHANT'S CELLAR`) + MATCH (target:`SCROOGE`) MERGE (source)-[r:DIRECTED]->(target) SET r += $properties RETURN r :result:None -2024-10-29 13:35:46,174 - lightrag - INFO - _check_edge_existence:query:MATCH (a:`SCROOGE`)-[r]-(b:`THE GRATE`) RETURN COUNT(r) > 0 AS edgeExists:result:False -2024-10-29 13:35:46,332 - lightrag - INFO - _check_node_exists:query:MATCH (n:`SCROOGE`) RETURN count(n) > 0 AS node_exists:result:True -2024-10-29 13:35:46,503 - lightrag - INFO - _check_node_exists:query:MATCH (n:`THE GRATE`) RETURN count(n) > 0 AS node_exists:result:True -2024-10-29 13:35:46,685 - lightrag - INFO - _do_upsert_edge:query: - MATCH (source:`SCROOGE`) +2024-10-30 05:11:35,248 - lightrag - INFO - _check_edge_existence:query:MATCH (a:`BOYS`)-[r]-(b:`SHAGGY PONIES`) RETURN COUNT(r) > 0 AS edgeExists:result:False +2024-10-30 05:11:35,424 - lightrag - INFO - _check_node_exists:query:MATCH (n:`BOYS`) RETURN count(n) > 0 AS node_exists:result:True +2024-10-30 05:11:35,601 - lightrag - INFO - _check_node_exists:query:MATCH (n:`SHAGGY PONIES`) RETURN count(n) > 0 AS node_exists:result:True +2024-10-30 05:11:35,818 - lightrag - INFO - _do_upsert_edge:query: + MATCH (source:`BOYS`) WITH source - MATCH (target:`THE GRATE`) + MATCH (target:`SHAGGY PONIES`) MERGE (source)-[r:DIRECTED]->(target) SET r += $properties RETURN r :result:None -2024-10-29 13:35:46,874 - lightrag - INFO - _check_edge_existence:query:MATCH (a:`SCROOGE`)-[r]-(b:`THE DRESSING-GOWN`) RETURN COUNT(r) > 0 AS edgeExists:result:False -2024-10-29 13:35:47,040 - lightrag - INFO - _check_node_exists:query:MATCH (n:`SCROOGE`) RETURN count(n) > 0 AS node_exists:result:True -2024-10-29 13:35:47,218 - lightrag - INFO - _check_node_exists:query:MATCH (n:`THE DRESSING-GOWN`) RETURN count(n) > 0 AS node_exists:result:True -2024-10-29 13:35:47,402 - lightrag - INFO - _do_upsert_edge:query: - MATCH (source:`SCROOGE`) +2024-10-30 05:11:36,006 - lightrag - INFO - _check_edge_existence:query:MATCH (a:`BRIDGE`)-[r]-(b:`SCROOGE`) RETURN COUNT(r) > 0 AS edgeExists:result:False +2024-10-30 05:11:36,171 - lightrag - INFO - _check_node_exists:query:MATCH (n:`BRIDGE`) RETURN count(n) > 0 AS node_exists:result:True +2024-10-30 05:11:36,332 - lightrag - INFO - _check_node_exists:query:MATCH (n:`SCROOGE`) RETURN count(n) > 0 AS node_exists:result:True +2024-10-30 05:11:36,526 - lightrag - INFO - _do_upsert_edge:query: + MATCH (source:`BRIDGE`) WITH source - MATCH (target:`THE DRESSING-GOWN`) + MATCH (target:`SCROOGE`) MERGE (source)-[r:DIRECTED]->(target) SET r += $properties RETURN r :result:None -2024-10-29 13:35:47,584 - lightrag - INFO - _check_edge_existence:query:MATCH (a:`DARKNESS`)-[r]-(b:`SCROOGE`) RETURN COUNT(r) > 0 AS edgeExists:result:False -2024-10-29 13:35:47,760 - lightrag - INFO - _check_node_exists:query:MATCH (n:`DARKNESS`) RETURN count(n) > 0 AS node_exists:result:True -2024-10-29 13:35:47,925 - lightrag - INFO - _check_node_exists:query:MATCH (n:`SCROOGE`) RETURN count(n) > 0 AS node_exists:result:True -2024-10-29 13:35:48,111 - lightrag - INFO - _do_upsert_edge:query: - MATCH (source:`DARKNESS`) +2024-10-30 05:11:36,714 - lightrag - INFO - _check_edge_existence:query:MATCH (a:`CHURCH`)-[r]-(b:`SCROOGE`) RETURN COUNT(r) > 0 AS edgeExists:result:False +2024-10-30 05:11:36,888 - lightrag - INFO - _check_node_exists:query:MATCH (n:`CHURCH`) RETURN count(n) > 0 AS node_exists:result:True +2024-10-30 05:11:37,048 - lightrag - INFO - _check_node_exists:query:MATCH (n:`SCROOGE`) RETURN count(n) > 0 AS node_exists:result:True +2024-10-30 05:11:37,232 - lightrag - INFO - _do_upsert_edge:query: + MATCH (source:`CHURCH`) WITH source MATCH (target:`SCROOGE`) MERGE (source)-[r:DIRECTED]->(target) SET r += $properties RETURN r :result:None -2024-10-29 13:35:48,297 - lightrag - INFO - _check_edge_existence:query:MATCH (a:`MARLEY'S GHOST`)-[r]-(b:`THE CANDLE`) RETURN COUNT(r) > 0 AS edgeExists:result:False -2024-10-29 13:35:48,457 - lightrag - INFO - _check_node_exists:query:MATCH (n:`MARLEY'S GHOST`) RETURN count(n) > 0 AS node_exists:result:True -2024-10-29 13:35:48,635 - lightrag - INFO - _check_node_exists:query:MATCH (n:`THE CANDLE`) RETURN count(n) > 0 AS node_exists:result:True -2024-10-29 13:35:48,825 - lightrag - INFO - _do_upsert_edge:query: - MATCH (source:`MARLEY'S GHOST`) +2024-10-30 05:11:37,417 - lightrag - INFO - _check_edge_existence:query:MATCH (a:`SCROOGE`)-[r]-(b:`WINDING RIVER`) RETURN COUNT(r) > 0 AS edgeExists:result:False +2024-10-30 05:11:37,577 - lightrag - INFO - _check_node_exists:query:MATCH (n:`SCROOGE`) RETURN count(n) > 0 AS node_exists:result:True +2024-10-30 05:11:37,750 - lightrag - INFO - _check_node_exists:query:MATCH (n:`WINDING RIVER`) RETURN count(n) > 0 AS node_exists:result:True +2024-10-30 05:11:37,931 - lightrag - INFO - _do_upsert_edge:query: + MATCH (source:`SCROOGE`) WITH source - MATCH (target:`THE CANDLE`) + MATCH (target:`WINDING RIVER`) MERGE (source)-[r:DIRECTED]->(target) SET r += $properties RETURN r :result:None -2024-10-29 13:35:49,015 - lightrag - INFO - _check_edge_existence:query:MATCH (a:`SCROOGE`)-[r]-(b:`THE CASK`) RETURN COUNT(r) > 0 AS edgeExists:result:False -2024-10-29 13:35:49,182 - lightrag - INFO - _check_node_exists:query:MATCH (n:`SCROOGE`) RETURN count(n) > 0 AS node_exists:result:True -2024-10-29 13:35:49,352 - lightrag - INFO - _check_node_exists:query:MATCH (n:`THE CASK`) RETURN count(n) > 0 AS node_exists:result:True -2024-10-29 13:35:49,538 - lightrag - INFO - _do_upsert_edge:query: - MATCH (source:`SCROOGE`) +2024-10-30 05:11:38,112 - lightrag - INFO - _check_edge_existence:query:MATCH (a:`GHOST OF CHRISTMAS PAST`)-[r]-(b:`SCROOGE'S MEMORIES`) RETURN COUNT(r) > 0 AS edgeExists:result:False +2024-10-30 05:11:38,278 - lightrag - INFO - _check_node_exists:query:MATCH (n:`GHOST OF CHRISTMAS PAST`) RETURN count(n) > 0 AS node_exists:result:True +2024-10-30 05:11:38,452 - lightrag - INFO - _check_node_exists:query:MATCH (n:`SCROOGE'S MEMORIES`) RETURN count(n) > 0 AS node_exists:result:False +2024-10-30 05:11:38,635 - lightrag - INFO - _do_upsert:query: + MERGE (n:`SCROOGE'S MEMORIES`) + SET n += $properties + RETURN n + :result:{'entity_type': '"UNKNOWN"', 'description': '"The Ghost facilitates Scrooge\'s recollection of his memories, allowing him to confront his past choices."', 'source_id': 'chunk-bb21d58d36c6306fd8810ddd51c4a971'} +2024-10-30 05:11:38,838 - lightrag - INFO - _do_upsert_edge:query: + MATCH (source:`GHOST OF CHRISTMAS PAST`) WITH source - MATCH (target:`THE CASK`) + MATCH (target:`SCROOGE'S MEMORIES`) MERGE (source)-[r:DIRECTED]->(target) SET r += $properties RETURN r :result:None -2024-10-29 13:35:49,719 - lightrag - INFO - _check_edge_existence:query:MATCH (a:`JACOB MARLEY`)-[r]-(b:`SCROOGE`) RETURN COUNT(r) > 0 AS edgeExists:result:False -2024-10-29 13:35:49,899 - lightrag - INFO - _check_node_exists:query:MATCH (n:`JACOB MARLEY`) RETURN count(n) > 0 AS node_exists:result:True -2024-10-29 13:35:50,062 - lightrag - INFO - _check_node_exists:query:MATCH (n:`SCROOGE`) RETURN count(n) > 0 AS node_exists:result:True -2024-10-29 13:35:50,250 - lightrag - INFO - _do_upsert_edge:query: - MATCH (source:`JACOB MARLEY`) +2024-10-30 05:11:39,041 - lightrag - INFO - _check_edge_existence:query:MATCH (a:`SCROOGE`)-[r]-(b:`THE SPIRIT`) RETURN COUNT(r) > 0 AS edgeExists:result:True +2024-10-30 05:11:39,176 - lightrag - INFO - get_edge:query: + MATCH (source:`SCROOGE`)-[r]-(target:`THE SPIRIT`) + RETURN r + :result:, ) type='DIRECTED' properties={'keywords': '"guidance, transformation""moral guidance, transformation""self-reflection, transformation""supernatural guidance, self-reflection""supernatural intervention, guidance"', 'description': '"Scrooge engages with the Spirit as it reveals memories that prompt significant self-reflection and consideration of change.""Scrooge is guided by the Spirit, who shows him different scenes related to the joy and struggles of Christmas, aiming to change his heart.""The Spirit challenges Scrooge\'s perspective on life, urging him to consider the implications of his actions in light of death.""The Spirit represents an upcoming change in Scrooge\'s life, aiming to guide him towards redemption.""The Spirit represents moral lessons and urges Scrooge to change his ways for a better future."', 'weight': 47.0, 'source_id': 'chunk-b2f98bc7abb0c67d4c86055c7fd72218chunk-e1f29eeadc1d8ab46dc8a0bbd3c56b64chunk-91572b3cd42786ba4cb2f180ca25cbf4chunk-da2472b4ef2a535b62908f14d0fb0ca9chunk-91614df5cb74cbe5e109a338a82041e9'}> +2024-10-30 05:11:39,317 - lightrag - INFO - _check_edge_existence:query:MATCH (a:`ALI BABA`)-[r]-(b:`SCROOGE`) RETURN COUNT(r) > 0 AS edgeExists:result:True +2024-10-30 05:11:39,456 - lightrag - INFO - get_edge:query: + MATCH (source:`ALI BABA`)-[r]-(target:`SCROOGE`) + RETURN r + :result:, ) type='DIRECTED' properties={'keywords': '"nostalgia, childhood stories"', 'description': '"Scrooge recalls Ali Baba while reflecting on memories of Christmas, indicating a strong personal connection to the story and its impact on him."', 'weight': 8.0, 'source_id': 'chunk-8590d9263cd2cd4fa583c432fc54e6c3'}> +2024-10-30 05:11:39,596 - lightrag - INFO - _check_edge_existence:query:MATCH (a:`SCROOGE`)-[r]-(b:`VALENTINE`) RETURN COUNT(r) > 0 AS edgeExists:result:True +2024-10-30 05:11:39,731 - lightrag - INFO - get_edge:query: + MATCH (source:`SCROOGE`)-[r]-(target:`VALENTINE`) + RETURN r + :result:, ) type='DIRECTED' properties={'keywords': '"family memories, nostalgia"', 'description': '"Scrooge\'s mention of Valentine signifies his memories of familial ties and childhood experiences during Christmas."', 'weight': 6.0, 'source_id': 'chunk-8590d9263cd2cd4fa583c432fc54e6c3'}> +2024-10-30 05:11:39,873 - lightrag - INFO - _check_edge_existence:query:MATCH (a:`ORSON`)-[r]-(b:`VALENTINE`) RETURN COUNT(r) > 0 AS edgeExists:result:False +2024-10-30 05:11:40,043 - lightrag - INFO - _check_node_exists:query:MATCH (n:`ORSON`) RETURN count(n) > 0 AS node_exists:result:True +2024-10-30 05:11:40,209 - lightrag - INFO - _check_node_exists:query:MATCH (n:`VALENTINE`) RETURN count(n) > 0 AS node_exists:result:True +2024-10-30 05:11:40,401 - lightrag - INFO - _do_upsert_edge:query: + MATCH (source:`ORSON`) WITH source - MATCH (target:`SCROOGE`) + MATCH (target:`VALENTINE`) MERGE (source)-[r:DIRECTED]->(target) SET r += $properties RETURN r :result:None -2024-10-29 13:35:50,430 - lightrag - INFO - _check_edge_existence:query:MATCH (a:`JACOB MARLEY`)-[r]-(b:`THE GHOST`) RETURN COUNT(r) > 0 AS edgeExists:result:False -2024-10-29 13:35:50,606 - lightrag - INFO - _check_node_exists:query:MATCH (n:`JACOB MARLEY`) RETURN count(n) > 0 AS node_exists:result:True -2024-10-29 13:35:50,775 - lightrag - INFO - _check_node_exists:query:MATCH (n:`THE GHOST`) RETURN count(n) > 0 AS node_exists:result:True -2024-10-29 13:35:50,960 - lightrag - INFO - _do_upsert_edge:query: - MATCH (source:`JACOB MARLEY`) +2024-10-30 05:11:40,590 - lightrag - INFO - _check_edge_existence:query:MATCH (a:`CHILD`)-[r]-(b:`SCROOGE`) RETURN COUNT(r) > 0 AS edgeExists:result:False +2024-10-30 05:11:40,766 - lightrag - INFO - _check_node_exists:query:MATCH (n:`CHILD`) RETURN count(n) > 0 AS node_exists:result:True +2024-10-30 05:11:40,926 - lightrag - INFO - _check_node_exists:query:MATCH (n:`SCROOGE`) RETURN count(n) > 0 AS node_exists:result:True +2024-10-30 05:11:41,110 - lightrag - INFO - _do_upsert_edge:query: + MATCH (source:`CHILD`) WITH source - MATCH (target:`THE GHOST`) + MATCH (target:`SCROOGE`) MERGE (source)-[r:DIRECTED]->(target) SET r += $properties RETURN r :result:None -2024-10-29 13:35:51,148 - lightrag - INFO - _check_edge_existence:query:MATCH (a:`MANKIND`)-[r]-(b:`SCROOGE`) RETURN COUNT(r) > 0 AS edgeExists:result:False -2024-10-29 13:35:51,324 - lightrag - INFO - _check_node_exists:query:MATCH (n:`MANKIND`) RETURN count(n) > 0 AS node_exists:result:True -2024-10-29 13:35:51,485 - lightrag - INFO - _check_node_exists:query:MATCH (n:`SCROOGE`) RETURN count(n) > 0 AS node_exists:result:True -2024-10-29 13:35:51,676 - lightrag - INFO - _do_upsert_edge:query: - MATCH (source:`MANKIND`) +2024-10-30 05:11:41,291 - lightrag - INFO - _check_edge_existence:query:MATCH (a:`ALI BABA`)-[r]-(b:`ROBIN CRUSOE`) RETURN COUNT(r) > 0 AS edgeExists:result:False +2024-10-30 05:11:41,466 - lightrag - INFO - _check_node_exists:query:MATCH (n:`ALI BABA`) RETURN count(n) > 0 AS node_exists:result:True +2024-10-30 05:11:41,637 - lightrag - INFO - _check_node_exists:query:MATCH (n:`ROBIN CRUSOE`) RETURN count(n) > 0 AS node_exists:result:True +2024-10-30 05:11:41,822 - lightrag - INFO - _do_upsert_edge:query: + MATCH (source:`ALI BABA`) WITH source - MATCH (target:`SCROOGE`) + MATCH (target:`ROBIN CRUSOE`) MERGE (source)-[r:DIRECTED]->(target) SET r += $properties RETURN r :result:None -2024-10-29 13:35:51,861 - lightrag - INFO - _check_edge_existence:query:MATCH (a:`BUSINESS`)-[r]-(b:`JACOB MARLEY`) RETURN COUNT(r) > 0 AS edgeExists:result:False -2024-10-29 13:35:52,039 - lightrag - INFO - _check_node_exists:query:MATCH (n:`BUSINESS`) RETURN count(n) > 0 AS node_exists:result:True -2024-10-29 13:35:52,204 - lightrag - INFO - _check_node_exists:query:MATCH (n:`JACOB MARLEY`) RETURN count(n) > 0 AS node_exists:result:True -2024-10-29 13:35:52,395 - lightrag - INFO - _do_upsert_edge:query: - MATCH (source:`BUSINESS`) +2024-10-30 05:11:42,008 - lightrag - INFO - _check_edge_existence:query:MATCH (a:`MANSION`)-[r]-(b:`SCROOGE`) RETURN COUNT(r) > 0 AS edgeExists:result:False +2024-10-30 05:11:42,173 - lightrag - INFO - _check_node_exists:query:MATCH (n:`MANSION`) RETURN count(n) > 0 AS node_exists:result:True +2024-10-30 05:11:42,330 - lightrag - INFO - _check_node_exists:query:MATCH (n:`SCROOGE`) RETURN count(n) > 0 AS node_exists:result:True +2024-10-30 05:11:42,512 - lightrag - INFO - _do_upsert_edge:query: + MATCH (source:`MANSION`) WITH source - MATCH (target:`JACOB MARLEY`) + MATCH (target:`SCROOGE`) MERGE (source)-[r:DIRECTED]->(target) SET r += $properties RETURN r :result:None -2024-10-29 13:35:52,583 - lightrag - INFO - _check_edge_existence:query:MATCH (a:`SCROOGE`)-[r]-(b:`THE THREE SPIRITS`) RETURN COUNT(r) > 0 AS edgeExists:result:False -2024-10-29 13:35:52,745 - lightrag - INFO - _check_node_exists:query:MATCH (n:`SCROOGE`) RETURN count(n) > 0 AS node_exists:result:True -2024-10-29 13:35:52,917 - lightrag - INFO - _check_node_exists:query:MATCH (n:`THE THREE SPIRITS`) RETURN count(n) > 0 AS node_exists:result:True -2024-10-29 13:35:53,110 - lightrag - INFO - _do_upsert_edge:query: - MATCH (source:`SCROOGE`) +2024-10-30 05:11:42,696 - lightrag - INFO - _check_edge_existence:query:MATCH (a:`MANSION`)-[r]-(b:`THE GHOST`) RETURN COUNT(r) > 0 AS edgeExists:result:False +2024-10-30 05:11:42,870 - lightrag - INFO - _check_node_exists:query:MATCH (n:`MANSION`) RETURN count(n) > 0 AS node_exists:result:True +2024-10-30 05:11:43,038 - lightrag - INFO - _check_node_exists:query:MATCH (n:`THE GHOST`) RETURN count(n) > 0 AS node_exists:result:True +2024-10-30 05:11:43,220 - lightrag - INFO - _do_upsert_edge:query: + MATCH (source:`MANSION`) WITH source - MATCH (target:`THE THREE SPIRITS`) + MATCH (target:`THE GHOST`) MERGE (source)-[r:DIRECTED]->(target) SET r += $properties RETURN r :result:None -2024-10-29 13:35:53,301 - lightrag - INFO - _check_edge_existence:query:MATCH (a:`MARLEY'S GHOST`)-[r]-(b:`THE INVISIBLE WORLD`) RETURN COUNT(r) > 0 AS edgeExists:result:False -2024-10-29 13:35:53,459 - lightrag - INFO - _check_node_exists:query:MATCH (n:`MARLEY'S GHOST`) RETURN count(n) > 0 AS node_exists:result:True -2024-10-29 13:35:53,632 - lightrag - INFO - _check_node_exists:query:MATCH (n:`THE INVISIBLE WORLD`) RETURN count(n) > 0 AS node_exists:result:True -2024-10-29 13:35:53,814 - lightrag - INFO - _do_upsert_edge:query: - MATCH (source:`MARLEY'S GHOST`) +2024-10-30 05:11:43,401 - lightrag - INFO - _check_edge_existence:query:MATCH (a:`FRIDAY`)-[r]-(b:`ROBIN CRUSOE`) RETURN COUNT(r) > 0 AS edgeExists:result:False +2024-10-30 05:11:43,573 - lightrag - INFO - _check_node_exists:query:MATCH (n:`FRIDAY`) RETURN count(n) > 0 AS node_exists:result:True +2024-10-30 05:11:43,742 - lightrag - INFO - _check_node_exists:query:MATCH (n:`ROBIN CRUSOE`) RETURN count(n) > 0 AS node_exists:result:True +2024-10-30 05:11:43,929 - lightrag - INFO - _do_upsert_edge:query: + MATCH (source:`FRIDAY`) WITH source - MATCH (target:`THE INVISIBLE WORLD`) + MATCH (target:`ROBIN CRUSOE`) MERGE (source)-[r:DIRECTED]->(target) SET r += $properties RETURN r :result:None -2024-10-29 13:35:53,998 - lightrag - INFO - _check_edge_existence:query:MATCH (a:`SCROOGE`)-[r]-(b:`THE CLOCK`) RETURN COUNT(r) > 0 AS edgeExists:result:False -2024-10-29 13:35:54,161 - lightrag - INFO - _check_node_exists:query:MATCH (n:`SCROOGE`) RETURN count(n) > 0 AS node_exists:result:True -2024-10-29 13:35:54,338 - lightrag - INFO - _check_node_exists:query:MATCH (n:`THE CLOCK`) RETURN count(n) > 0 AS node_exists:result:True -2024-10-29 13:35:54,518 - lightrag - INFO - _do_upsert_edge:query: +2024-10-30 05:11:44,113 - lightrag - INFO - _check_edge_existence:query:MATCH (a:`SCROOGE`)-[r]-(b:`THE PARROT`) RETURN COUNT(r) > 0 AS edgeExists:result:False +2024-10-30 05:11:44,272 - lightrag - INFO - _check_node_exists:query:MATCH (n:`SCROOGE`) RETURN count(n) > 0 AS node_exists:result:True +2024-10-30 05:11:44,450 - lightrag - INFO - _check_node_exists:query:MATCH (n:`THE PARROT`) RETURN count(n) > 0 AS node_exists:result:True +2024-10-30 05:11:44,644 - lightrag - INFO - _do_upsert_edge:query: MATCH (source:`SCROOGE`) WITH source - MATCH (target:`THE CLOCK`) + MATCH (target:`THE PARROT`) MERGE (source)-[r:DIRECTED]->(target) SET r += $properties RETURN r :result:None -2024-10-29 13:35:54,702 - lightrag - INFO - _check_edge_existence:query:MATCH (a:`EBENEZER SCROOGE`)-[r]-(b:`MARLEY'S GHOST`) RETURN COUNT(r) > 0 AS edgeExists:result:False -2024-10-29 13:35:54,867 - lightrag - INFO - _check_node_exists:query:MATCH (n:`EBENEZER SCROOGE`) RETURN count(n) > 0 AS node_exists:result:True -2024-10-29 13:35:55,033 - lightrag - INFO - _check_node_exists:query:MATCH (n:`MARLEY'S GHOST`) RETURN count(n) > 0 AS node_exists:result:True -2024-10-29 13:35:55,229 - lightrag - INFO - _do_upsert_edge:query: - MATCH (source:`EBENEZER SCROOGE`) +2024-10-30 05:11:44,827 - lightrag - INFO - _check_edge_existence:query:MATCH (a:`CHILD`)-[r]-(b:`THE SPIRIT`) RETURN COUNT(r) > 0 AS edgeExists:result:False +2024-10-30 05:11:44,995 - lightrag - INFO - _check_node_exists:query:MATCH (n:`CHILD`) RETURN count(n) > 0 AS node_exists:result:True +2024-10-30 05:11:45,162 - lightrag - INFO - _check_node_exists:query:MATCH (n:`THE SPIRIT`) RETURN count(n) > 0 AS node_exists:result:True +2024-10-30 05:11:45,343 - lightrag - INFO - _do_upsert_edge:query: + MATCH (source:`CHILD`) WITH source - MATCH (target:`MARLEY'S GHOST`) + MATCH (target:`THE SPIRIT`) MERGE (source)-[r:DIRECTED]->(target) SET r += $properties RETURN r :result:None -2024-10-29 13:35:55,417 - lightrag - INFO - _check_edge_existence:query:MATCH (a:`EBENEZER SCROOGE`)-[r]-(b:`THE VISITOR`) RETURN COUNT(r) > 0 AS edgeExists:result:False -2024-10-29 13:35:55,579 - lightrag - INFO - _check_node_exists:query:MATCH (n:`EBENEZER SCROOGE`) RETURN count(n) > 0 AS node_exists:result:True -2024-10-29 13:35:55,750 - lightrag - INFO - _check_node_exists:query:MATCH (n:`THE VISITOR`) RETURN count(n) > 0 AS node_exists:result:True -2024-10-29 13:35:55,942 - lightrag - INFO - _do_upsert_edge:query: - MATCH (source:`EBENEZER SCROOGE`) +2024-10-30 05:11:45,525 - lightrag - INFO - _check_edge_existence:query:MATCH (a:`DICK WILKINS`)-[r]-(b:`FEZZIWIG`) RETURN COUNT(r) > 0 AS edgeExists:result:False +2024-10-30 05:11:45,699 - lightrag - INFO - _check_node_exists:query:MATCH (n:`DICK WILKINS`) RETURN count(n) > 0 AS node_exists:result:True +2024-10-30 05:11:45,882 - lightrag - INFO - _check_node_exists:query:MATCH (n:`FEZZIWIG`) RETURN count(n) > 0 AS node_exists:result:True +2024-10-30 05:11:46,070 - lightrag - INFO - _do_upsert_edge:query: + MATCH (source:`DICK WILKINS`) WITH source - MATCH (target:`THE VISITOR`) + MATCH (target:`FEZZIWIG`) MERGE (source)-[r:DIRECTED]->(target) SET r += $properties RETURN r :result:None -2024-10-29 13:35:56,128 - lightrag - INFO - _check_edge_existence:query:MATCH (a:`EBENEZER SCROOGE`)-[r]-(b:`THE CLOCK`) RETURN COUNT(r) > 0 AS edgeExists:result:False -2024-10-29 13:35:56,291 - lightrag - INFO - _check_node_exists:query:MATCH (n:`EBENEZER SCROOGE`) RETURN count(n) > 0 AS node_exists:result:True -2024-10-29 13:35:56,457 - lightrag - INFO - _check_node_exists:query:MATCH (n:`THE CLOCK`) RETURN count(n) > 0 AS node_exists:result:True -2024-10-29 13:35:56,643 - lightrag - INFO - _do_upsert_edge:query: - MATCH (source:`EBENEZER SCROOGE`) +2024-10-30 05:11:46,247 - lightrag - INFO - _check_edge_existence:query:MATCH (a:`DICK WILKINS`)-[r]-(b:`SCROOGE`) RETURN COUNT(r) > 0 AS edgeExists:result:True +2024-10-30 05:11:46,388 - lightrag - INFO - get_edge:query: + MATCH (source:`DICK WILKINS`)-[r]-(target:`SCROOGE`) + RETURN r + :result:, ) type='DIRECTED' properties={'keywords': '"friendship, apprenticeship"', 'description': '"Scrooge recalls his friendship with Dick Wilkins, highlighting the connections of youth and support during their apprenticeship."', 'weight': 7.0, 'source_id': 'chunk-c6c248858d1b13ab7ee9ca13c1aeed6b'}> +2024-10-30 05:11:46,528 - lightrag - INFO - _check_edge_existence:query:MATCH (a:`CHRISTMAS-TIME`)-[r]-(b:`SCROOGE`) RETURN COUNT(r) > 0 AS edgeExists:result:True +2024-10-30 05:11:46,665 - lightrag - INFO - get_edge:query: + MATCH (source:`CHRISTMAS-TIME`)-[r]-(target:`SCROOGE`) + RETURN r + :result:, ) type='DIRECTED' properties={'keywords': '"cynicism, holiday spirit conflict"', 'description': '"Scrooge views Christmas-time as a burden rather than a celebration, contrasting with the feelings of others around him."', 'weight': 9.0, 'source_id': 'chunk-5dac41b3f9eeaf794f0147400b1718cd'}> +2024-10-30 05:11:46,809 - lightrag - INFO - _check_edge_existence:query:MATCH (a:`SCROOGE`)-[r]-(b:`THE CITY`) RETURN COUNT(r) > 0 AS edgeExists:result:True +2024-10-30 05:11:46,948 - lightrag - INFO - get_edge:query: + MATCH (source:`SCROOGE`)-[r]-(target:`THE CITY`) + RETURN r + :result:, ) type='DIRECTED' properties={'keywords': '"disconnection, personal evolution""reflection, urban life"', 'description': '"Scrooge\'s reflections in the City highlight his relationship with his past and the contrast of his current life.""Scrooge\'s relationship with The City is marked by detachment, representing his lost connection to his past self and experiences."', 'weight': 10.0, 'source_id': 'chunk-bb21d58d36c6306fd8810ddd51c4a971chunk-c6c248858d1b13ab7ee9ca13c1aeed6b'}> +2024-10-30 05:11:47,084 - lightrag - INFO - _check_edge_existence:query:MATCH (a:`DICK WILKINS`)-[r]-(b:`EBENEZER SCROOGE`) RETURN COUNT(r) > 0 AS edgeExists:result:False +2024-10-30 05:11:47,250 - lightrag - INFO - _check_node_exists:query:MATCH (n:`DICK WILKINS`) RETURN count(n) > 0 AS node_exists:result:True +2024-10-30 05:11:47,423 - lightrag - INFO - _check_node_exists:query:MATCH (n:`EBENEZER SCROOGE`) RETURN count(n) > 0 AS node_exists:result:True +2024-10-30 05:11:47,614 - lightrag - INFO - _do_upsert_edge:query: + MATCH (source:`DICK WILKINS`) WITH source - MATCH (target:`THE CLOCK`) + MATCH (target:`EBENEZER SCROOGE`) MERGE (source)-[r:DIRECTED]->(target) SET r += $properties RETURN r :result:None -2024-10-29 13:35:56,832 - lightrag - INFO - _check_edge_existence:query:MATCH (a:`MARLEY'S GHOST`)-[r]-(b:`THE VISITOR`) RETURN COUNT(r) > 0 AS edgeExists:result:False -2024-10-29 13:35:57,001 - lightrag - INFO - _check_node_exists:query:MATCH (n:`MARLEY'S GHOST`) RETURN count(n) > 0 AS node_exists:result:True -2024-10-29 13:35:57,176 - lightrag - INFO - _check_node_exists:query:MATCH (n:`THE VISITOR`) RETURN count(n) > 0 AS node_exists:result:True -2024-10-29 13:35:57,371 - lightrag - INFO - _do_upsert_edge:query: - MATCH (source:`MARLEY'S GHOST`) +2024-10-30 05:11:47,797 - lightrag - INFO - _check_edge_existence:query:MATCH (a:`EBENEZER SCROOGE`)-[r]-(b:`FEZZIWIG`) RETURN COUNT(r) > 0 AS edgeExists:result:False +2024-10-30 05:11:47,958 - lightrag - INFO - _check_node_exists:query:MATCH (n:`EBENEZER SCROOGE`) RETURN count(n) > 0 AS node_exists:result:True +2024-10-30 05:11:48,133 - lightrag - INFO - _check_node_exists:query:MATCH (n:`FEZZIWIG`) RETURN count(n) > 0 AS node_exists:result:True +2024-10-30 05:11:48,317 - lightrag - INFO - _do_upsert_edge:query: + MATCH (source:`EBENEZER SCROOGE`) WITH source - MATCH (target:`THE VISITOR`) + MATCH (target:`FEZZIWIG`) MERGE (source)-[r:DIRECTED]->(target) SET r += $properties RETURN r :result:None -2024-10-29 13:35:57,567 - lightrag - INFO - _check_edge_existence:query:MATCH (a:`LIGHT`)-[r]-(b:`THE VISITOR`) RETURN COUNT(r) > 0 AS edgeExists:result:False -2024-10-29 13:35:57,739 - lightrag - INFO - _check_node_exists:query:MATCH (n:`LIGHT`) RETURN count(n) > 0 AS node_exists:result:True -2024-10-29 13:35:57,905 - lightrag - INFO - _check_node_exists:query:MATCH (n:`THE VISITOR`) RETURN count(n) > 0 AS node_exists:result:True -2024-10-29 13:35:58,095 - lightrag - INFO - _do_upsert_edge:query: - MATCH (source:`LIGHT`) +2024-10-30 05:11:48,502 - lightrag - INFO - _check_edge_existence:query:MATCH (a:`CHRISTMAS EVE`)-[r]-(b:`FEZZIWIG`) RETURN COUNT(r) > 0 AS edgeExists:result:False +2024-10-30 05:11:48,675 - lightrag - INFO - _check_node_exists:query:MATCH (n:`CHRISTMAS EVE`) RETURN count(n) > 0 AS node_exists:result:True +2024-10-30 05:11:48,845 - lightrag - INFO - _check_node_exists:query:MATCH (n:`FEZZIWIG`) RETURN count(n) > 0 AS node_exists:result:True +2024-10-30 05:11:49,031 - lightrag - INFO - _do_upsert_edge:query: + MATCH (source:`CHRISTMAS EVE`) WITH source - MATCH (target:`THE VISITOR`) + MATCH (target:`FEZZIWIG`) MERGE (source)-[r:DIRECTED]->(target) SET r += $properties RETURN r :result:None -2024-10-29 13:35:58,280 - lightrag - INFO - _check_edge_existence:query:MATCH (a:`HOLLY BRANCH`)-[r]-(b:`THE VISITOR`) RETURN COUNT(r) > 0 AS edgeExists:result:False -2024-10-29 13:35:58,459 - lightrag - INFO - _check_node_exists:query:MATCH (n:`HOLLY BRANCH`) RETURN count(n) > 0 AS node_exists:result:True -2024-10-29 13:35:58,619 - lightrag - INFO - _check_node_exists:query:MATCH (n:`THE VISITOR`) RETURN count(n) > 0 AS node_exists:result:True -2024-10-29 13:35:58,800 - lightrag - INFO - _do_upsert_edge:query: - MATCH (source:`HOLLY BRANCH`) +2024-10-30 05:11:49,212 - lightrag - INFO - _check_edge_existence:query:MATCH (a:`FEZZIWIG`)-[r]-(b:`MRS. FEZZIWIG`) RETURN COUNT(r) > 0 AS edgeExists:result:True +2024-10-30 05:11:49,344 - lightrag - INFO - get_edge:query: + MATCH (source:`FEZZIWIG`)-[r]-(target:`MRS. FEZZIWIG`) + RETURN r + :result:, ) type='DIRECTED' properties={'keywords': '"festivity, companionship""partnership, celebration"', 'description': '"Fezziwig and Mrs. Fezziwig dance together, showcasing their joyful relationship and the spirit of togetherness during Christmas.""Fezziwig and Mrs. Fezziwig work together to create a festive and welcoming environment during the domestic ball.""Mrs. Fezziwig partners with Fezziwig in the festivities, highlighting their companionship during the celebrations."', 'weight': 25.0, 'source_id': 'chunk-b2f98bc7abb0c67d4c86055c7fd72218chunk-89777b838d5447c7bd1ec11282c4ee89chunk-8bc1edd983869352d14cf0886a9175a7'}> +2024-10-30 05:11:49,485 - lightrag - INFO - _check_edge_existence:query:MATCH (a:`FEZZIWIG`)-[r]-(b:`THE DANCERS`) RETURN COUNT(r) > 0 AS edgeExists:result:False +2024-10-30 05:11:49,650 - lightrag - INFO - _check_node_exists:query:MATCH (n:`FEZZIWIG`) RETURN count(n) > 0 AS node_exists:result:True +2024-10-30 05:11:49,824 - lightrag - INFO - _check_node_exists:query:MATCH (n:`THE DANCERS`) RETURN count(n) > 0 AS node_exists:result:True +2024-10-30 05:11:50,014 - lightrag - INFO - _do_upsert_edge:query: + MATCH (source:`FEZZIWIG`) WITH source - MATCH (target:`THE VISITOR`) + MATCH (target:`THE DANCERS`) MERGE (source)-[r:DIRECTED]->(target) SET r += $properties RETURN r :result:None -2024-10-29 13:35:58,984 - lightrag - INFO - _check_edge_existence:query:MATCH (a:`DREAM`)-[r]-(b:`EBENEZER SCROOGE`) RETURN COUNT(r) > 0 AS edgeExists:result:False -2024-10-29 13:35:59,161 - lightrag - INFO - _check_node_exists:query:MATCH (n:`DREAM`) RETURN count(n) > 0 AS node_exists:result:True -2024-10-29 13:35:59,327 - lightrag - INFO - _check_node_exists:query:MATCH (n:`EBENEZER SCROOGE`) RETURN count(n) > 0 AS node_exists:result:True -2024-10-29 13:35:59,517 - lightrag - INFO - _do_upsert_edge:query: - MATCH (source:`DREAM`) +2024-10-30 05:11:50,198 - lightrag - INFO - _check_edge_existence:query:MATCH (a:`FEZZIWIG`)-[r]-(b:`THE FIDDLER`) RETURN COUNT(r) > 0 AS edgeExists:result:False +2024-10-30 05:11:50,352 - lightrag - INFO - _check_node_exists:query:MATCH (n:`FEZZIWIG`) RETURN count(n) > 0 AS node_exists:result:True +2024-10-30 05:11:50,519 - lightrag - INFO - _check_node_exists:query:MATCH (n:`THE FIDDLER`) RETURN count(n) > 0 AS node_exists:result:True +2024-10-30 05:11:50,708 - lightrag - INFO - _do_upsert_edge:query: + MATCH (source:`FEZZIWIG`) WITH source - MATCH (target:`EBENEZER SCROOGE`) + MATCH (target:`THE FIDDLER`) MERGE (source)-[r:DIRECTED]->(target) SET r += $properties RETURN r :result:None -2024-10-29 13:35:59,699 - lightrag - INFO - _check_edge_existence:query:MATCH (a:`GHOST OF CHRISTMAS PAST`)-[r]-(b:`SCROOGE`) RETURN COUNT(r) > 0 AS edgeExists:result:False -2024-10-29 13:35:59,881 - lightrag - INFO - _check_node_exists:query:MATCH (n:`GHOST OF CHRISTMAS PAST`) RETURN count(n) > 0 AS node_exists:result:True -2024-10-29 13:36:00,048 - lightrag - INFO - _check_node_exists:query:MATCH (n:`SCROOGE`) RETURN count(n) > 0 AS node_exists:result:True -2024-10-29 13:36:00,241 - lightrag - INFO - _do_upsert_edge:query: - MATCH (source:`GHOST OF CHRISTMAS PAST`) +2024-10-30 05:11:50,888 - lightrag - INFO - _check_edge_existence:query:MATCH (a:`THE THREE MISS FEZZIWIGS`)-[r]-(b:`THE YOUNG FOLLOWERS`) RETURN COUNT(r) > 0 AS edgeExists:result:False +2024-10-30 05:11:51,061 - lightrag - INFO - _check_node_exists:query:MATCH (n:`THE THREE MISS FEZZIWIGS`) RETURN count(n) > 0 AS node_exists:result:True +2024-10-30 05:11:51,234 - lightrag - INFO - _check_node_exists:query:MATCH (n:`THE YOUNG FOLLOWERS`) RETURN count(n) > 0 AS node_exists:result:True +2024-10-30 05:11:51,415 - lightrag - INFO - _do_upsert_edge:query: + MATCH (source:`THE THREE MISS FEZZIWIGS`) WITH source - MATCH (target:`SCROOGE`) + MATCH (target:`THE YOUNG FOLLOWERS`) MERGE (source)-[r:DIRECTED]->(target) SET r += $properties RETURN r :result:None -2024-10-29 13:36:00,437 - lightrag - INFO - _check_edge_existence:query:MATCH (a:`MARKET-TOWN`)-[r]-(b:`SCROOGE`) RETURN COUNT(r) > 0 AS edgeExists:result:False -2024-10-29 13:36:00,613 - lightrag - INFO - _check_node_exists:query:MATCH (n:`MARKET-TOWN`) RETURN count(n) > 0 AS node_exists:result:True -2024-10-29 13:36:00,776 - lightrag - INFO - _check_node_exists:query:MATCH (n:`SCROOGE`) RETURN count(n) > 0 AS node_exists:result:True -2024-10-29 13:36:00,966 - lightrag - INFO - _do_upsert_edge:query: - MATCH (source:`MARKET-TOWN`) +2024-10-30 05:11:51,599 - lightrag - INFO - _check_edge_existence:query:MATCH (a:`THE COOK`)-[r]-(b:`THE HOUSEMAID`) RETURN COUNT(r) > 0 AS edgeExists:result:False +2024-10-30 05:11:51,772 - lightrag - INFO - _check_node_exists:query:MATCH (n:`THE COOK`) RETURN count(n) > 0 AS node_exists:result:True +2024-10-30 05:11:51,950 - lightrag - INFO - _check_node_exists:query:MATCH (n:`THE HOUSEMAID`) RETURN count(n) > 0 AS node_exists:result:True +2024-10-30 05:11:52,135 - lightrag - INFO - _do_upsert_edge:query: + MATCH (source:`THE COOK`) WITH source - MATCH (target:`SCROOGE`) + MATCH (target:`THE HOUSEMAID`) MERGE (source)-[r:DIRECTED]->(target) SET r += $properties RETURN r :result:None -2024-10-29 13:36:01,156 - lightrag - INFO - _check_edge_existence:query:MATCH (a:`GHOST OF CHRISTMAS PAST`)-[r]-(b:`THE CITY`) RETURN COUNT(r) > 0 AS edgeExists:result:False -2024-10-29 13:36:01,330 - lightrag - INFO - _check_node_exists:query:MATCH (n:`GHOST OF CHRISTMAS PAST`) RETURN count(n) > 0 AS node_exists:result:True -2024-10-29 13:36:01,507 - lightrag - INFO - _check_node_exists:query:MATCH (n:`THE CITY`) RETURN count(n) > 0 AS node_exists:result:True -2024-10-29 13:36:01,692 - lightrag - INFO - _do_upsert_edge:query: - MATCH (source:`GHOST OF CHRISTMAS PAST`) +2024-10-30 05:11:52,315 - lightrag - INFO - _check_edge_existence:query:MATCH (a:`THE BOY FROM OVER THE WAY`)-[r]-(b:`THE GIRL FROM NEXT DOOR`) RETURN COUNT(r) > 0 AS edgeExists:result:False +2024-10-30 05:11:52,487 - lightrag - INFO - _check_node_exists:query:MATCH (n:`THE BOY FROM OVER THE WAY`) RETURN count(n) > 0 AS node_exists:result:True +2024-10-30 05:11:52,659 - lightrag - INFO - _check_node_exists:query:MATCH (n:`THE GIRL FROM NEXT DOOR`) RETURN count(n) > 0 AS node_exists:result:True +2024-10-30 05:11:52,843 - lightrag - INFO - _do_upsert_edge:query: + MATCH (source:`THE BOY FROM OVER THE WAY`) WITH source - MATCH (target:`THE CITY`) + MATCH (target:`THE GIRL FROM NEXT DOOR`) MERGE (source)-[r:DIRECTED]->(target) SET r += $properties RETURN r :result:None -2024-10-29 13:36:01,874 - lightrag - INFO - _check_edge_existence:query:MATCH (a:`SCROOGE`)-[r]-(b:`THE CITY`) RETURN COUNT(r) > 0 AS edgeExists:result:False -2024-10-29 13:36:02,037 - lightrag - INFO - _check_node_exists:query:MATCH (n:`SCROOGE`) RETURN count(n) > 0 AS node_exists:result:True -2024-10-29 13:36:02,219 - lightrag - INFO - _check_node_exists:query:MATCH (n:`THE CITY`) RETURN count(n) > 0 AS node_exists:result:True -2024-10-29 13:36:02,407 - lightrag - INFO - _do_upsert_edge:query: +2024-10-30 05:11:53,030 - lightrag - INFO - _check_edge_existence:query:MATCH (a:`SCROOGE`)-[r]-(b:`THE GHOST OF CHRISTMAS PAST`) RETURN COUNT(r) > 0 AS edgeExists:result:True +2024-10-30 05:11:53,163 - lightrag - INFO - get_edge:query: + MATCH (source:`SCROOGE`)-[r]-(target:`THE GHOST OF CHRISTMAS PAST`) + RETURN r + :result:, ) type='DIRECTED' properties={'keywords': '"introspection, memory"', 'description': '"The Ghost of Christmas Past guides Scrooge through recollections, prompting his introspection about his former self and choices."', 'weight': 10.0, 'source_id': 'chunk-b2f98bc7abb0c67d4c86055c7fd72218'}> +2024-10-30 05:11:53,301 - lightrag - INFO - _check_edge_existence:query:MATCH (a:`FEZZIWIG`)-[r]-(b:`THE DOMESTIC BALL`) RETURN COUNT(r) > 0 AS edgeExists:result:True +2024-10-30 05:11:53,435 - lightrag - INFO - get_edge:query: + MATCH (source:`FEZZIWIG`)-[r]-(target:`THE DOMESTIC BALL`) + RETURN r + :result:, ) type='DIRECTED' properties={'keywords': '"event organization, joy"', 'description': '"Fezziwig organizes the Domestic Ball, showcasing his ability to create joy and camaraderie among guests."', 'weight': 10.0, 'source_id': 'chunk-b2f98bc7abb0c67d4c86055c7fd72218'}> +2024-10-30 05:11:53,575 - lightrag - INFO - _check_edge_existence:query:MATCH (a:`DICK`)-[r]-(b:`SCROOGE`) RETURN COUNT(r) > 0 AS edgeExists:result:True +2024-10-30 05:11:53,707 - lightrag - INFO - get_edge:query: + MATCH (source:`DICK`)-[r]-(target:`SCROOGE`) + RETURN r + :result:, ) type='DIRECTED' properties={'keywords': '"nostalgia, friendship"', 'description': '"Scrooge remembers Dick as a part of his past, highlighting their shared experiences during happier times."', 'weight': 7.0, 'source_id': 'chunk-b2f98bc7abb0c67d4c86055c7fd72218'}> +2024-10-30 05:11:53,850 - lightrag - INFO - _check_edge_existence:query:MATCH (a:`FEZZIWIG`)-[r]-(b:`THE TWO APPRENTICES`) RETURN COUNT(r) > 0 AS edgeExists:result:True +2024-10-30 05:11:53,984 - lightrag - INFO - get_edge:query: + MATCH (source:`FEZZIWIG`)-[r]-(target:`THE TWO APPRENTICES`) + RETURN r + :result:, ) type='DIRECTED' properties={'keywords': '"gratitude, mentorship"', 'description': '"Fezziwig inspires deep gratitude and respect from his apprentices, who appreciate his kindness during their interactions at the ball."', 'weight': 8.0, 'source_id': 'chunk-b2f98bc7abb0c67d4c86055c7fd72218'}> +2024-10-30 05:11:54,122 - lightrag - INFO - _check_edge_existence:query:MATCH (a:`SCROOGE`)-[r]-(b:`THE GOLDEN IDOL`) RETURN COUNT(r) > 0 AS edgeExists:result:False +2024-10-30 05:11:54,279 - lightrag - INFO - _check_node_exists:query:MATCH (n:`SCROOGE`) RETURN count(n) > 0 AS node_exists:result:True +2024-10-30 05:11:54,458 - lightrag - INFO - _check_node_exists:query:MATCH (n:`THE GOLDEN IDOL`) RETURN count(n) > 0 AS node_exists:result:True +2024-10-30 05:11:54,647 - lightrag - INFO - _do_upsert_edge:query: MATCH (source:`SCROOGE`) WITH source - MATCH (target:`THE CITY`) + MATCH (target:`THE GOLDEN IDOL`) MERGE (source)-[r:DIRECTED]->(target) SET r += $properties RETURN r :result:None -2024-10-29 13:36:02,595 - lightrag - INFO - _check_edge_existence:query:MATCH (a:`SCROOGE`)-[r]-(b:`SPIRIT`) RETURN COUNT(r) > 0 AS edgeExists:result:False -2024-10-29 13:36:02,757 - lightrag - INFO - _check_node_exists:query:MATCH (n:`SCROOGE`) RETURN count(n) > 0 AS node_exists:result:True -2024-10-29 13:36:02,932 - lightrag - INFO - _check_node_exists:query:MATCH (n:`SPIRIT`) RETURN count(n) > 0 AS node_exists:result:True -2024-10-29 13:36:03,122 - lightrag - INFO - _do_upsert_edge:query: +2024-10-30 05:11:54,834 - lightrag - INFO - _check_edge_existence:query:MATCH (a:`SCROOGE`)-[r]-(b:`THE MOURNING DRESS`) RETURN COUNT(r) > 0 AS edgeExists:result:False +2024-10-30 05:11:54,996 - lightrag - INFO - _check_node_exists:query:MATCH (n:`SCROOGE`) RETURN count(n) > 0 AS node_exists:result:True +2024-10-30 05:11:55,170 - lightrag - INFO - _check_node_exists:query:MATCH (n:`THE MOURNING DRESS`) RETURN count(n) > 0 AS node_exists:result:True +2024-10-30 05:11:55,354 - lightrag - INFO - _do_upsert_edge:query: MATCH (source:`SCROOGE`) WITH source - MATCH (target:`SPIRIT`) + MATCH (target:`THE MOURNING DRESS`) MERGE (source)-[r:DIRECTED]->(target) SET r += $properties RETURN r :result:None -2024-10-29 13:36:03,308 - lightrag - INFO - _check_edge_existence:query:MATCH (a:`CHILDREN`)-[r]-(b:`SCROOGE`) RETURN COUNT(r) > 0 AS edgeExists:result:False -2024-10-29 13:36:03,491 - lightrag - INFO - _check_node_exists:query:MATCH (n:`CHILDREN`) RETURN count(n) > 0 AS node_exists:result:True -2024-10-29 13:36:03,648 - lightrag - INFO - _check_node_exists:query:MATCH (n:`SCROOGE`) RETURN count(n) > 0 AS node_exists:result:True -2024-10-29 13:36:03,832 - lightrag - INFO - _do_upsert_edge:query: - MATCH (source:`CHILDREN`) +2024-10-30 05:11:55,537 - lightrag - INFO - _check_edge_existence:query:MATCH (a:`SCROOGE`)-[r]-(b:`THE PRIME OF LIFE`) RETURN COUNT(r) > 0 AS edgeExists:result:False +2024-10-30 05:11:55,693 - lightrag - INFO - _check_node_exists:query:MATCH (n:`SCROOGE`) RETURN count(n) > 0 AS node_exists:result:True +2024-10-30 05:11:55,865 - lightrag - INFO - _check_node_exists:query:MATCH (n:`THE PRIME OF LIFE`) RETURN count(n) > 0 AS node_exists:result:True +2024-10-30 05:11:56,051 - lightrag - INFO - _do_upsert_edge:query: + MATCH (source:`SCROOGE`) WITH source - MATCH (target:`SCROOGE`) + MATCH (target:`THE PRIME OF LIFE`) MERGE (source)-[r:DIRECTED]->(target) SET r += $properties RETURN r :result:None -2024-10-29 13:36:04,018 - lightrag - INFO - _check_edge_existence:query:MATCH (a:`SCHOOL`)-[r]-(b:`SPIRIT`) RETURN COUNT(r) > 0 AS edgeExists:result:False -2024-10-29 13:36:04,194 - lightrag - INFO - _check_node_exists:query:MATCH (n:`SCHOOL`) RETURN count(n) > 0 AS node_exists:result:True -2024-10-29 13:36:04,372 - lightrag - INFO - _check_node_exists:query:MATCH (n:`SPIRIT`) RETURN count(n) > 0 AS node_exists:result:True -2024-10-29 13:36:04,560 - lightrag - INFO - _do_upsert_edge:query: - MATCH (source:`SCHOOL`) +2024-10-30 05:11:56,231 - lightrag - INFO - _check_edge_existence:query:MATCH (a:`SCROOGE`)-[r]-(b:`THE BEAUTIFUL YOUNG GIRL`) RETURN COUNT(r) > 0 AS edgeExists:result:False +2024-10-30 05:11:56,386 - lightrag - INFO - _check_node_exists:query:MATCH (n:`SCROOGE`) RETURN count(n) > 0 AS node_exists:result:True +2024-10-30 05:11:56,562 - lightrag - INFO - _check_node_exists:query:MATCH (n:`THE BEAUTIFUL YOUNG GIRL`) RETURN count(n) > 0 AS node_exists:result:True +2024-10-30 05:11:56,746 - lightrag - INFO - _do_upsert_edge:query: + MATCH (source:`SCROOGE`) WITH source - MATCH (target:`SPIRIT`) + MATCH (target:`THE BEAUTIFUL YOUNG GIRL`) MERGE (source)-[r:DIRECTED]->(target) SET r += $properties RETURN r :result:None -2024-10-29 13:36:04,743 - lightrag - INFO - _check_edge_existence:query:MATCH (a:`SCHOOL`)-[r]-(b:`SCROOGE`) RETURN COUNT(r) > 0 AS edgeExists:result:False -2024-10-29 13:36:04,903 - lightrag - INFO - _check_node_exists:query:MATCH (n:`SCHOOL`) RETURN count(n) > 0 AS node_exists:result:True -2024-10-29 13:36:05,063 - lightrag - INFO - _check_node_exists:query:MATCH (n:`SCROOGE`) RETURN count(n) > 0 AS node_exists:result:True -2024-10-29 13:36:05,250 - lightrag - INFO - _do_upsert_edge:query: - MATCH (source:`SCHOOL`) +2024-10-30 05:11:56,936 - lightrag - INFO - _check_edge_existence:query:MATCH (a:`THE BEAUTIFUL YOUNG GIRL`)-[r]-(b:`THE COMELY MATRON`) RETURN COUNT(r) > 0 AS edgeExists:result:False +2024-10-30 05:11:57,124 - lightrag - INFO - _check_node_exists:query:MATCH (n:`THE BEAUTIFUL YOUNG GIRL`) RETURN count(n) > 0 AS node_exists:result:True +2024-10-30 05:11:57,333 - lightrag - INFO - _check_node_exists:query:MATCH (n:`THE COMELY MATRON`) RETURN count(n) > 0 AS node_exists:result:True +2024-10-30 05:11:57,526 - lightrag - INFO - _do_upsert_edge:query: + MATCH (source:`THE BEAUTIFUL YOUNG GIRL`) WITH source - MATCH (target:`SCROOGE`) + MATCH (target:`THE COMELY MATRON`) MERGE (source)-[r:DIRECTED]->(target) SET r += $properties RETURN r :result:None -2024-10-29 13:36:05,438 - lightrag - INFO - _check_edge_existence:query:MATCH (a:`ALI BABA`)-[r]-(b:`SCROOGE`) RETURN COUNT(r) > 0 AS edgeExists:result:False -2024-10-29 13:36:05,689 - lightrag - INFO - _check_node_exists:query:MATCH (n:`ALI BABA`) RETURN count(n) > 0 AS node_exists:result:True -2024-10-29 13:36:05,850 - lightrag - INFO - _check_node_exists:query:MATCH (n:`SCROOGE`) RETURN count(n) > 0 AS node_exists:result:True -2024-10-29 13:36:06,039 - lightrag - INFO - _do_upsert_edge:query: - MATCH (source:`ALI BABA`) +2024-10-30 05:11:57,710 - lightrag - INFO - _check_edge_existence:query:MATCH (a:`THE CHILDREN`)-[r]-(b:`THE COMELY MATRON`) RETURN COUNT(r) > 0 AS edgeExists:result:False +2024-10-30 05:11:57,877 - lightrag - INFO - _check_node_exists:query:MATCH (n:`THE CHILDREN`) RETURN count(n) > 0 AS node_exists:result:True +2024-10-30 05:11:58,043 - lightrag - INFO - _check_node_exists:query:MATCH (n:`THE COMELY MATRON`) RETURN count(n) > 0 AS node_exists:result:True +2024-10-30 05:11:58,223 - lightrag - INFO - _do_upsert_edge:query: + MATCH (source:`THE CHILDREN`) WITH source - MATCH (target:`SCROOGE`) + MATCH (target:`THE COMELY MATRON`) MERGE (source)-[r:DIRECTED]->(target) SET r += $properties RETURN r :result:None -2024-10-29 13:36:06,221 - lightrag - INFO - _check_edge_existence:query:MATCH (a:`SCROOGE`)-[r]-(b:`VALENTINE`) RETURN COUNT(r) > 0 AS edgeExists:result:False -2024-10-29 13:36:06,388 - lightrag - INFO - _check_node_exists:query:MATCH (n:`SCROOGE`) RETURN count(n) > 0 AS node_exists:result:True -2024-10-29 13:36:06,570 - lightrag - INFO - _check_node_exists:query:MATCH (n:`VALENTINE`) RETURN count(n) > 0 AS node_exists:result:True -2024-10-29 13:36:06,757 - lightrag - INFO - _do_upsert_edge:query: +2024-10-30 05:11:58,401 - lightrag - INFO - _check_edge_existence:query:MATCH (a:`THE CHILDREN`)-[r]-(b:`THE FATHER`) RETURN COUNT(r) > 0 AS edgeExists:result:True +2024-10-30 05:11:58,536 - lightrag - INFO - get_edge:query: + MATCH (source:`THE CHILDREN`)-[r]-(target:`THE FATHER`) + RETURN r + :result:, ) type='DIRECTED' properties={'keywords': '"familial joy, celebration"', 'description': '"The Father engages with the children, highlighting familial bonds and the excitement of Christmas celebrations."', 'weight': 8.0, 'source_id': 'chunk-da2472b4ef2a535b62908f14d0fb0ca9'}> +2024-10-30 05:11:58,673 - lightrag - INFO - _check_edge_existence:query:MATCH (a:`SCROOGE`)-[r]-(b:`THE DOWERLESS GIRL`) RETURN COUNT(r) > 0 AS edgeExists:result:False +2024-10-30 05:11:58,832 - lightrag - INFO - _check_node_exists:query:MATCH (n:`SCROOGE`) RETURN count(n) > 0 AS node_exists:result:True +2024-10-30 05:11:59,003 - lightrag - INFO - _check_node_exists:query:MATCH (n:`THE DOWERLESS GIRL`) RETURN count(n) > 0 AS node_exists:result:True +2024-10-30 05:11:59,185 - lightrag - INFO - _do_upsert_edge:query: MATCH (source:`SCROOGE`) WITH source - MATCH (target:`VALENTINE`) + MATCH (target:`THE DOWERLESS GIRL`) MERGE (source)-[r:DIRECTED]->(target) SET r += $properties RETURN r :result:None -2024-10-29 13:36:06,943 - lightrag - INFO - _check_edge_existence:query:MATCH (a:`ORSON`)-[r]-(b:`SCROOGE`) RETURN COUNT(r) > 0 AS edgeExists:result:False -2024-10-29 13:36:07,118 - lightrag - INFO - _check_node_exists:query:MATCH (n:`ORSON`) RETURN count(n) > 0 AS node_exists:result:True -2024-10-29 13:36:07,281 - lightrag - INFO - _check_node_exists:query:MATCH (n:`SCROOGE`) RETURN count(n) > 0 AS node_exists:result:True -2024-10-29 13:36:07,470 - lightrag - INFO - _do_upsert_edge:query: - MATCH (source:`ORSON`) +2024-10-30 05:11:59,364 - lightrag - INFO - _check_edge_existence:query:MATCH (a:`SCROOGE`)-[r]-(b:`THE MEMORY`) RETURN COUNT(r) > 0 AS edgeExists:result:False +2024-10-30 05:11:59,534 - lightrag - INFO - _check_node_exists:query:MATCH (n:`SCROOGE`) RETURN count(n) > 0 AS node_exists:result:True +2024-10-30 05:11:59,708 - lightrag - INFO - _check_node_exists:query:MATCH (n:`THE MEMORY`) RETURN count(n) > 0 AS node_exists:result:True +2024-10-30 05:11:59,898 - lightrag - INFO - _do_upsert_edge:query: + MATCH (source:`SCROOGE`) WITH source - MATCH (target:`SCROOGE`) + MATCH (target:`THE MEMORY`) MERGE (source)-[r:DIRECTED]->(target) SET r += $properties RETURN r :result:None -2024-10-29 13:36:07,654 - lightrag - INFO - _check_edge_existence:query:MATCH (a:`ROBIN CRUSOE`)-[r]-(b:`SCROOGE`) RETURN COUNT(r) > 0 AS edgeExists:result:False -2024-10-29 13:36:07,828 - lightrag - INFO - _check_node_exists:query:MATCH (n:`ROBIN CRUSOE`) RETURN count(n) > 0 AS node_exists:result:True -2024-10-29 13:36:07,993 - lightrag - INFO - _check_node_exists:query:MATCH (n:`SCROOGE`) RETURN count(n) > 0 AS node_exists:result:True -2024-10-29 13:36:08,177 - lightrag - INFO - _do_upsert_edge:query: - MATCH (source:`ROBIN CRUSOE`) +2024-10-30 05:12:00,084 - lightrag - INFO - _check_edge_existence:query:MATCH (a:`THE FATHER`)-[r]-(b:`THE WINTER FIRE`) RETURN COUNT(r) > 0 AS edgeExists:result:False +2024-10-30 05:12:00,260 - lightrag - INFO - _check_node_exists:query:MATCH (n:`THE FATHER`) RETURN count(n) > 0 AS node_exists:result:True +2024-10-30 05:12:00,429 - lightrag - INFO - _check_node_exists:query:MATCH (n:`THE WINTER FIRE`) RETURN count(n) > 0 AS node_exists:result:True +2024-10-30 05:12:00,612 - lightrag - INFO - _do_upsert_edge:query: + MATCH (source:`THE FATHER`) WITH source - MATCH (target:`SCROOGE`) + MATCH (target:`THE WINTER FIRE`) MERGE (source)-[r:DIRECTED]->(target) SET r += $properties RETURN r :result:None -2024-10-29 13:36:08,370 - lightrag - INFO - _check_edge_existence:query:MATCH (a:`FRIDAY`)-[r]-(b:`SCROOGE`) RETURN COUNT(r) > 0 AS edgeExists:result:False -2024-10-29 13:36:08,547 - lightrag - INFO - _check_node_exists:query:MATCH (n:`FRIDAY`) RETURN count(n) > 0 AS node_exists:result:True -2024-10-29 13:36:08,710 - lightrag - INFO - _check_node_exists:query:MATCH (n:`SCROOGE`) RETURN count(n) > 0 AS node_exists:result:True -2024-10-29 13:36:08,892 - lightrag - INFO - _do_upsert_edge:query: - MATCH (source:`FRIDAY`) +2024-10-30 05:12:00,796 - lightrag - INFO - _check_edge_existence:query:MATCH (a:`HAPPINESS`)-[r]-(b:`THE BEAUTIFUL YOUNG GIRL`) RETURN COUNT(r) > 0 AS edgeExists:result:False +2024-10-30 05:12:00,972 - lightrag - INFO - _check_node_exists:query:MATCH (n:`HAPPINESS`) RETURN count(n) > 0 AS node_exists:result:True +2024-10-30 05:12:01,134 - lightrag - INFO - _check_node_exists:query:MATCH (n:`THE BEAUTIFUL YOUNG GIRL`) RETURN count(n) > 0 AS node_exists:result:True +2024-10-30 05:12:01,320 - lightrag - INFO - _do_upsert_edge:query: + MATCH (source:`HAPPINESS`) WITH source - MATCH (target:`SCROOGE`) + MATCH (target:`THE BEAUTIFUL YOUNG GIRL`) MERGE (source)-[r:DIRECTED]->(target) SET r += $properties RETURN r :result:None -2024-10-29 13:36:09,079 - lightrag - INFO - _check_edge_existence:query:MATCH (a:`SCROOGE`)-[r]-(b:`THE GHOST`) RETURN COUNT(r) > 0 AS edgeExists:result:False -2024-10-29 13:36:09,243 - lightrag - INFO - _check_node_exists:query:MATCH (n:`SCROOGE`) RETURN count(n) > 0 AS node_exists:result:True -2024-10-29 13:36:09,420 - lightrag - INFO - _check_node_exists:query:MATCH (n:`THE GHOST`) RETURN count(n) > 0 AS node_exists:result:True -2024-10-29 13:36:09,610 - lightrag - INFO - _do_upsert_edge:query: - MATCH (source:`SCROOGE`) +2024-10-30 05:12:01,500 - lightrag - INFO - _check_edge_existence:query:MATCH (a:`HOPE`)-[r]-(b:`THE COMELY MATRON`) RETURN COUNT(r) > 0 AS edgeExists:result:False +2024-10-30 05:12:01,668 - lightrag - INFO - _check_node_exists:query:MATCH (n:`HOPE`) RETURN count(n) > 0 AS node_exists:result:True +2024-10-30 05:12:01,832 - lightrag - INFO - _check_node_exists:query:MATCH (n:`THE COMELY MATRON`) RETURN count(n) > 0 AS node_exists:result:True +2024-10-30 05:12:02,023 - lightrag - INFO - _do_upsert_edge:query: + MATCH (source:`HOPE`) WITH source - MATCH (target:`THE GHOST`) + MATCH (target:`THE COMELY MATRON`) MERGE (source)-[r:DIRECTED]->(target) SET r += $properties RETURN r :result:None -2024-10-29 13:36:09,792 - lightrag - INFO - _check_edge_existence:query:MATCH (a:`CHRISTMAS CAROL`)-[r]-(b:`SCROOGE`) RETURN COUNT(r) > 0 AS edgeExists:result:False -2024-10-29 13:36:09,966 - lightrag - INFO - _check_node_exists:query:MATCH (n:`CHRISTMAS CAROL`) RETURN count(n) > 0 AS node_exists:result:True -2024-10-29 13:36:10,130 - lightrag - INFO - _check_node_exists:query:MATCH (n:`SCROOGE`) RETURN count(n) > 0 AS node_exists:result:True -2024-10-29 13:36:10,322 - lightrag - INFO - _do_upsert_edge:query: - MATCH (source:`CHRISTMAS CAROL`) +2024-10-30 05:12:02,208 - lightrag - INFO - _check_edge_existence:query:MATCH (a:`THE COMELY MATRON`)-[r]-(b:`THE YOUNG BRIGANDS`) RETURN COUNT(r) > 0 AS edgeExists:result:False +2024-10-30 05:12:02,373 - lightrag - INFO - _check_node_exists:query:MATCH (n:`THE COMELY MATRON`) RETURN count(n) > 0 AS node_exists:result:True +2024-10-30 05:12:02,541 - lightrag - INFO - _check_node_exists:query:MATCH (n:`THE YOUNG BRIGANDS`) RETURN count(n) > 0 AS node_exists:result:True +2024-10-30 05:12:02,725 - lightrag - INFO - _do_upsert_edge:query: + MATCH (source:`THE COMELY MATRON`) WITH source - MATCH (target:`SCROOGE`) + MATCH (target:`THE YOUNG BRIGANDS`) MERGE (source)-[r:DIRECTED]->(target) SET r += $properties RETURN r :result:None -2024-10-29 13:36:10,512 - lightrag - INFO - _check_edge_existence:query:MATCH (a:`GHOST`)-[r]-(b:`SCROOGE`) RETURN COUNT(r) > 0 AS edgeExists:result:False -2024-10-29 13:36:10,690 - lightrag - INFO - _check_node_exists:query:MATCH (n:`GHOST`) RETURN count(n) > 0 AS node_exists:result:True -2024-10-29 13:36:10,853 - lightrag - INFO - _check_node_exists:query:MATCH (n:`SCROOGE`) RETURN count(n) > 0 AS node_exists:result:True -2024-10-29 13:36:11,044 - lightrag - INFO - _do_upsert_edge:query: - MATCH (source:`GHOST`) +2024-10-30 05:12:02,914 - lightrag - INFO - _check_edge_existence:query:MATCH (a:`BELLE`)-[r]-(b:`SCROOGE`) RETURN COUNT(r) > 0 AS edgeExists:result:True +2024-10-30 05:12:03,076 - lightrag - INFO - get_edge:query: + MATCH (source:`BELLE`)-[r]-(target:`SCROOGE`) + RETURN r + :result:, ) type='DIRECTED' properties={'keywords': '"lost love, regret"', 'description': '"Scrooge reflects on his lost relationship with Belle, highlighting his feelings of regret and emotional pain."', 'weight': 8.0, 'source_id': 'chunk-da2472b4ef2a535b62908f14d0fb0ca9'}> +2024-10-30 05:12:03,233 - lightrag - INFO - _check_edge_existence:query:MATCH (a:`CHRISTMAS`)-[r]-(b:`THE SPIRIT`) RETURN COUNT(r) > 0 AS edgeExists:result:False +2024-10-30 05:12:03,439 - lightrag - INFO - _check_node_exists:query:MATCH (n:`CHRISTMAS`) RETURN count(n) > 0 AS node_exists:result:True +2024-10-30 05:12:03,622 - lightrag - INFO - _check_node_exists:query:MATCH (n:`THE SPIRIT`) RETURN count(n) > 0 AS node_exists:result:True +2024-10-30 05:12:03,812 - lightrag - INFO - _do_upsert_edge:query: + MATCH (source:`CHRISTMAS`) WITH source - MATCH (target:`SCROOGE`) + MATCH (target:`THE SPIRIT`) MERGE (source)-[r:DIRECTED]->(target) SET r += $properties RETURN r :result:None -2024-10-29 13:36:11,229 - lightrag - INFO - _check_edge_existence:query:MATCH (a:`LITTLE FAN`)-[r]-(b:`SCROOGE`) RETURN COUNT(r) > 0 AS edgeExists:result:False -2024-10-29 13:36:11,412 - lightrag - INFO - _check_node_exists:query:MATCH (n:`LITTLE FAN`) RETURN count(n) > 0 AS node_exists:result:True -2024-10-29 13:36:11,578 - lightrag - INFO - _check_node_exists:query:MATCH (n:`SCROOGE`) RETURN count(n) > 0 AS node_exists:result:True -2024-10-29 13:36:11,762 - lightrag - INFO - _do_upsert_edge:query: - MATCH (source:`LITTLE FAN`) +2024-10-30 05:12:04,003 - lightrag - INFO - _check_edge_existence:query:MATCH (a:`SCROOGE`)-[r]-(b:`THE OFFICE`) RETURN COUNT(r) > 0 AS edgeExists:result:False +2024-10-30 05:12:04,161 - lightrag - INFO - _check_node_exists:query:MATCH (n:`SCROOGE`) RETURN count(n) > 0 AS node_exists:result:True +2024-10-30 05:12:04,329 - lightrag - INFO - _check_node_exists:query:MATCH (n:`THE OFFICE`) RETURN count(n) > 0 AS node_exists:result:True +2024-10-30 05:12:04,513 - lightrag - INFO - _do_upsert_edge:query: + MATCH (source:`SCROOGE`) WITH source - MATCH (target:`SCROOGE`) + MATCH (target:`THE OFFICE`) MERGE (source)-[r:DIRECTED]->(target) SET r += $properties RETURN r :result:None -2024-10-29 13:36:11,949 - lightrag - INFO - _check_edge_existence:query:MATCH (a:`FEZZIWIG`)-[r]-(b:`SCROOGE`) RETURN COUNT(r) > 0 AS edgeExists:result:False -2024-10-29 13:36:12,121 - lightrag - INFO - _check_node_exists:query:MATCH (n:`FEZZIWIG`) RETURN count(n) > 0 AS node_exists:result:True -2024-10-29 13:36:12,285 - lightrag - INFO - _check_node_exists:query:MATCH (n:`SCROOGE`) RETURN count(n) > 0 AS node_exists:result:True -2024-10-29 13:36:12,475 - lightrag - INFO - _do_upsert_edge:query: - MATCH (source:`FEZZIWIG`) +2024-10-30 05:12:04,693 - lightrag - INFO - _check_edge_existence:query:MATCH (a:`THE FATHER`)-[r]-(b:`THE MOTHER`) RETURN COUNT(r) > 0 AS edgeExists:result:True +2024-10-30 05:12:04,828 - lightrag - INFO - get_edge:query: + MATCH (source:`THE FATHER`)-[r]-(target:`THE MOTHER`) + RETURN r + :result:, ) type='DIRECTED' properties={'keywords': '"family dynamics, togetherness"', 'description': '"The Mother and Father are depicted together, emphasizing family dynamics during the festive occasion."', 'weight': 6.0, 'source_id': 'chunk-da2472b4ef2a535b62908f14d0fb0ca9'}> +2024-10-30 05:12:04,970 - lightrag - INFO - _check_edge_existence:query:MATCH (a:`THE BABY`)-[r]-(b:`THE CHILDREN`) RETURN COUNT(r) > 0 AS edgeExists:result:False +2024-10-30 05:12:05,145 - lightrag - INFO - _check_node_exists:query:MATCH (n:`THE BABY`) RETURN count(n) > 0 AS node_exists:result:True +2024-10-30 05:12:05,318 - lightrag - INFO - _check_node_exists:query:MATCH (n:`THE CHILDREN`) RETURN count(n) > 0 AS node_exists:result:True +2024-10-30 05:12:05,509 - lightrag - INFO - _do_upsert_edge:query: + MATCH (source:`THE BABY`) WITH source - MATCH (target:`SCROOGE`) + MATCH (target:`THE CHILDREN`) MERGE (source)-[r:DIRECTED]->(target) SET r += $properties RETURN r :result:None -2024-10-29 13:36:12,662 - lightrag - INFO - _check_edge_existence:query:MATCH (a:`DICK WILKINS`)-[r]-(b:`SCROOGE`) RETURN COUNT(r) > 0 AS edgeExists:result:False -2024-10-29 13:36:12,847 - lightrag - INFO - _check_node_exists:query:MATCH (n:`DICK WILKINS`) RETURN count(n) > 0 AS node_exists:result:True -2024-10-29 13:36:13,013 - lightrag - INFO - _check_node_exists:query:MATCH (n:`SCROOGE`) RETURN count(n) > 0 AS node_exists:result:True -2024-10-29 13:36:13,199 - lightrag - INFO - _do_upsert_edge:query: - MATCH (source:`DICK WILKINS`) +2024-10-30 05:12:05,694 - lightrag - INFO - _check_edge_existence:query:MATCH (a:`THE CHILDREN`)-[r]-(b:`THE PORTER`) RETURN COUNT(r) > 0 AS edgeExists:result:True +2024-10-30 05:12:05,831 - lightrag - INFO - get_edge:query: + MATCH (source:`THE CHILDREN`)-[r]-(target:`THE PORTER`) + RETURN r + :result:, ) type='DIRECTED' properties={'keywords': '"playfulness, joy"', 'description': '"The Children playfully interact with the Porter, creating a scene of joyous chaos and affection."', 'weight': 9.0, 'source_id': 'chunk-da2472b4ef2a535b62908f14d0fb0ca9'}> +2024-10-30 05:12:05,971 - lightrag - INFO - _check_edge_existence:query:MATCH (a:`THE CHILDREN`)-[r]-(b:`THE MOTHER`) RETURN COUNT(r) > 0 AS edgeExists:result:False +2024-10-30 05:12:06,142 - lightrag - INFO - _check_node_exists:query:MATCH (n:`THE CHILDREN`) RETURN count(n) > 0 AS node_exists:result:True +2024-10-30 05:12:06,315 - lightrag - INFO - _check_node_exists:query:MATCH (n:`THE MOTHER`) RETURN count(n) > 0 AS node_exists:result:True +2024-10-30 05:12:06,500 - lightrag - INFO - _do_upsert_edge:query: + MATCH (source:`THE CHILDREN`) WITH source - MATCH (target:`SCROOGE`) + MATCH (target:`THE MOTHER`) MERGE (source)-[r:DIRECTED]->(target) SET r += $properties RETURN r :result:None -2024-10-29 13:36:13,382 - lightrag - INFO - _check_edge_existence:query:MATCH (a:`SCROOGE`)-[r]-(b:`THE SCHOOLMASTER`) RETURN COUNT(r) > 0 AS edgeExists:result:False -2024-10-29 13:36:13,551 - lightrag - INFO - _check_node_exists:query:MATCH (n:`SCROOGE`) RETURN count(n) > 0 AS node_exists:result:True -2024-10-29 13:36:13,728 - lightrag - INFO - _check_node_exists:query:MATCH (n:`THE SCHOOLMASTER`) RETURN count(n) > 0 AS node_exists:result:True -2024-10-29 13:36:13,912 - lightrag - INFO - _do_upsert_edge:query: - MATCH (source:`SCROOGE`) +2024-10-30 05:12:06,681 - lightrag - INFO - _check_edge_existence:query:MATCH (a:`HOME`)-[r]-(b:`THE MOTHER`) RETURN COUNT(r) > 0 AS edgeExists:result:False +2024-10-30 05:12:06,857 - lightrag - INFO - _check_node_exists:query:MATCH (n:`HOME`) RETURN count(n) > 0 AS node_exists:result:True +2024-10-30 05:12:07,037 - lightrag - INFO - _check_node_exists:query:MATCH (n:`THE MOTHER`) RETURN count(n) > 0 AS node_exists:result:True +2024-10-30 05:12:07,222 - lightrag - INFO - _do_upsert_edge:query: + MATCH (source:`HOME`) WITH source - MATCH (target:`THE SCHOOLMASTER`) + MATCH (target:`THE MOTHER`) MERGE (source)-[r:DIRECTED]->(target) SET r += $properties RETURN r :result:None -2024-10-29 13:36:14,091 - lightrag - INFO - _check_edge_existence:query:MATCH (a:`FATHER`)-[r]-(b:`LITTLE FAN`) RETURN COUNT(r) > 0 AS edgeExists:result:False -2024-10-29 13:36:14,264 - lightrag - INFO - _check_node_exists:query:MATCH (n:`FATHER`) RETURN count(n) > 0 AS node_exists:result:True -2024-10-29 13:36:14,435 - lightrag - INFO - _check_node_exists:query:MATCH (n:`LITTLE FAN`) RETURN count(n) > 0 AS node_exists:result:True -2024-10-29 13:36:14,626 - lightrag - INFO - _do_upsert_edge:query: - MATCH (source:`FATHER`) +2024-10-30 05:12:07,411 - lightrag - INFO - _check_edge_existence:query:MATCH (a:`GHOST OF CHRISTMAS PRESENT`)-[r]-(b:`HOLLY`) RETURN COUNT(r) > 0 AS edgeExists:result:True +2024-10-30 05:12:07,551 - lightrag - INFO - get_edge:query: + MATCH (source:`GHOST OF CHRISTMAS PRESENT`)-[r]-(target:`HOLLY`) + RETURN r + :result:, ) type='DIRECTED' properties={'keywords': '"festive spirit, symbolism"', 'description': '"Holly is part of the Ghost\'s attire, reinforcing the themes of joy and celebration during Christmas."', 'weight': 9.0, 'source_id': 'chunk-843b5b2f944c7413d9ca876e2e2f151f'}> +2024-10-30 05:12:07,692 - lightrag - INFO - _check_edge_existence:query:MATCH (a:`GHOST OF CHRISTMAS PRESENT`)-[r]-(b:`MISTLETOE`) RETURN COUNT(r) > 0 AS edgeExists:result:False +2024-10-30 05:12:07,850 - lightrag - INFO - _check_node_exists:query:MATCH (n:`GHOST OF CHRISTMAS PRESENT`) RETURN count(n) > 0 AS node_exists:result:True +2024-10-30 05:12:08,027 - lightrag - INFO - _check_node_exists:query:MATCH (n:`MISTLETOE`) RETURN count(n) > 0 AS node_exists:result:True +2024-10-30 05:12:08,211 - lightrag - INFO - _do_upsert_edge:query: + MATCH (source:`GHOST OF CHRISTMAS PRESENT`) WITH source - MATCH (target:`LITTLE FAN`) + MATCH (target:`MISTLETOE`) MERGE (source)-[r:DIRECTED]->(target) SET r += $properties RETURN r :result:None -2024-10-29 13:36:14,811 - lightrag - INFO - _check_edge_existence:query:MATCH (a:`SCROOGE`)-[r]-(b:`THE WAREHOUSE`) RETURN COUNT(r) > 0 AS edgeExists:result:False -2024-10-29 13:36:14,976 - lightrag - INFO - _check_node_exists:query:MATCH (n:`SCROOGE`) RETURN count(n) > 0 AS node_exists:result:True -2024-10-29 13:36:15,146 - lightrag - INFO - _check_node_exists:query:MATCH (n:`THE WAREHOUSE`) RETURN count(n) > 0 AS node_exists:result:True -2024-10-29 13:36:15,332 - lightrag - INFO - _do_upsert_edge:query: - MATCH (source:`SCROOGE`) +2024-10-30 05:12:08,392 - lightrag - INFO - _check_edge_existence:query:MATCH (a:`GHOST OF CHRISTMAS PRESENT`)-[r]-(b:`RED BERRIES`) RETURN COUNT(r) > 0 AS edgeExists:result:False +2024-10-30 05:12:08,551 - lightrag - INFO - _check_node_exists:query:MATCH (n:`GHOST OF CHRISTMAS PRESENT`) RETURN count(n) > 0 AS node_exists:result:True +2024-10-30 05:12:08,721 - lightrag - INFO - _check_node_exists:query:MATCH (n:`RED BERRIES`) RETURN count(n) > 0 AS node_exists:result:True +2024-10-30 05:12:08,904 - lightrag - INFO - _do_upsert_edge:query: + MATCH (source:`GHOST OF CHRISTMAS PRESENT`) WITH source - MATCH (target:`THE WAREHOUSE`) + MATCH (target:`RED BERRIES`) MERGE (source)-[r:DIRECTED]->(target) SET r += $properties RETURN r :result:None -2024-10-29 13:36:15,517 - lightrag - INFO - _check_edge_existence:query:MATCH (a:`MASTER SCROOGE`)-[r]-(b:`SCROOGE`) RETURN COUNT(r) > 0 AS edgeExists:result:False -2024-10-29 13:36:15,697 - lightrag - INFO - _check_node_exists:query:MATCH (n:`MASTER SCROOGE`) RETURN count(n) > 0 AS node_exists:result:True -2024-10-29 13:36:15,855 - lightrag - INFO - _check_node_exists:query:MATCH (n:`SCROOGE`) RETURN count(n) > 0 AS node_exists:result:True -2024-10-29 13:36:16,040 - lightrag - INFO - _do_upsert_edge:query: - MATCH (source:`MASTER SCROOGE`) +2024-10-30 05:12:09,083 - lightrag - INFO - _check_edge_existence:query:MATCH (a:`GHOST OF CHRISTMAS PRESENT`)-[r]-(b:`TURKEYS`) RETURN COUNT(r) > 0 AS edgeExists:result:True +2024-10-30 05:12:09,237 - lightrag - INFO - get_edge:query: + MATCH (source:`GHOST OF CHRISTMAS PRESENT`)-[r]-(target:`TURKEYS`) + RETURN r + :result:, ) type='DIRECTED' properties={'keywords': '"feasting, abundance"', 'description': '"The Ghost highlights the presence of Turkeys at the feast, emphasizing the spirit of generosity during Christmas."', 'weight': 8.0, 'source_id': 'chunk-843b5b2f944c7413d9ca876e2e2f151f'}> +2024-10-30 05:12:09,380 - lightrag - INFO - _check_edge_existence:query:MATCH (a:`GHOST OF CHRISTMAS PRESENT`)-[r]-(b:`POULTRY`) RETURN COUNT(r) > 0 AS edgeExists:result:False +2024-10-30 05:12:09,543 - lightrag - INFO - _check_node_exists:query:MATCH (n:`GHOST OF CHRISTMAS PRESENT`) RETURN count(n) > 0 AS node_exists:result:True +2024-10-30 05:12:09,712 - lightrag - INFO - _check_node_exists:query:MATCH (n:`POULTRY`) RETURN count(n) > 0 AS node_exists:result:True +2024-10-30 05:12:09,898 - lightrag - INFO - _do_upsert_edge:query: + MATCH (source:`GHOST OF CHRISTMAS PRESENT`) WITH source - MATCH (target:`SCROOGE`) + MATCH (target:`POULTRY`) MERGE (source)-[r:DIRECTED]->(target) SET r += $properties RETURN r :result:None -2024-10-29 13:36:16,224 - lightrag - INFO - _check_edge_existence:query:MATCH (a:`DICK WILKINS`)-[r]-(b:`EBENEZER`) RETURN COUNT(r) > 0 AS edgeExists:result:False -2024-10-29 13:36:16,401 - lightrag - INFO - _check_node_exists:query:MATCH (n:`DICK WILKINS`) RETURN count(n) > 0 AS node_exists:result:True -2024-10-29 13:36:16,578 - lightrag - INFO - _check_node_exists:query:MATCH (n:`EBENEZER`) RETURN count(n) > 0 AS node_exists:result:True -2024-10-29 13:36:16,769 - lightrag - INFO - _do_upsert_edge:query: - MATCH (source:`DICK WILKINS`) +2024-10-30 05:12:10,097 - lightrag - INFO - _check_edge_existence:query:MATCH (a:`GHOST OF CHRISTMAS PRESENT`)-[r]-(b:`MEAT`) RETURN COUNT(r) > 0 AS edgeExists:result:False +2024-10-30 05:12:10,256 - lightrag - INFO - _check_node_exists:query:MATCH (n:`GHOST OF CHRISTMAS PRESENT`) RETURN count(n) > 0 AS node_exists:result:True +2024-10-30 05:12:10,433 - lightrag - INFO - _check_node_exists:query:MATCH (n:`MEAT`) RETURN count(n) > 0 AS node_exists:result:True +2024-10-30 05:12:10,614 - lightrag - INFO - _do_upsert_edge:query: + MATCH (source:`GHOST OF CHRISTMAS PRESENT`) WITH source - MATCH (target:`EBENEZER`) + MATCH (target:`MEAT`) MERGE (source)-[r:DIRECTED]->(target) SET r += $properties RETURN r :result:None -2024-10-29 13:36:16,954 - lightrag - INFO - _check_edge_existence:query:MATCH (a:`FEZZIWIG`)-[r]-(b:`THE DANCE`) RETURN COUNT(r) > 0 AS edgeExists:result:False -2024-10-29 13:36:17,126 - lightrag - INFO - _check_node_exists:query:MATCH (n:`FEZZIWIG`) RETURN count(n) > 0 AS node_exists:result:True -2024-10-29 13:36:17,297 - lightrag - INFO - _check_node_exists:query:MATCH (n:`THE DANCE`) RETURN count(n) > 0 AS node_exists:result:True -2024-10-29 13:36:17,484 - lightrag - INFO - _do_upsert_edge:query: - MATCH (source:`FEZZIWIG`) +2024-10-30 05:12:10,801 - lightrag - INFO - _check_edge_existence:query:MATCH (a:`GHOST OF CHRISTMAS PRESENT`)-[r]-(b:`SAUSAGES`) RETURN COUNT(r) > 0 AS edgeExists:result:True +2024-10-30 05:12:10,942 - lightrag - INFO - get_edge:query: + MATCH (source:`GHOST OF CHRISTMAS PRESENT`)-[r]-(target:`SAUSAGES`) + RETURN r + :result:, ) type='DIRECTED' properties={'keywords': '"celebration, abundance"', 'description': '"Sausages contribute to the lavish spread, symbolizing the abundance of the Christmas feast."', 'weight': 7.0, 'source_id': 'chunk-843b5b2f944c7413d9ca876e2e2f151f'}> +2024-10-30 05:12:11,085 - lightrag - INFO - _check_edge_existence:query:MATCH (a:`GHOST OF CHRISTMAS PRESENT`)-[r]-(b:`OYSTERS`) RETURN COUNT(r) > 0 AS edgeExists:result:False +2024-10-30 05:12:11,247 - lightrag - INFO - _check_node_exists:query:MATCH (n:`GHOST OF CHRISTMAS PRESENT`) RETURN count(n) > 0 AS node_exists:result:True +2024-10-30 05:12:11,423 - lightrag - INFO - _check_node_exists:query:MATCH (n:`OYSTERS`) RETURN count(n) > 0 AS node_exists:result:True +2024-10-30 05:12:11,621 - lightrag - INFO - _do_upsert_edge:query: + MATCH (source:`GHOST OF CHRISTMAS PRESENT`) WITH source - MATCH (target:`THE DANCE`) + MATCH (target:`OYSTERS`) MERGE (source)-[r:DIRECTED]->(target) SET r += $properties RETURN r :result:None -2024-10-29 13:36:17,673 - lightrag - INFO - _check_edge_existence:query:MATCH (a:`CHRISTMAS EVE`)-[r]-(b:`THE DANCE`) RETURN COUNT(r) > 0 AS edgeExists:result:False -2024-10-29 13:36:17,849 - lightrag - INFO - _check_node_exists:query:MATCH (n:`CHRISTMAS EVE`) RETURN count(n) > 0 AS node_exists:result:True -2024-10-29 13:36:18,026 - lightrag - INFO - _check_node_exists:query:MATCH (n:`THE DANCE`) RETURN count(n) > 0 AS node_exists:result:True -2024-10-29 13:36:18,211 - lightrag - INFO - _do_upsert_edge:query: - MATCH (source:`CHRISTMAS EVE`) +2024-10-30 05:12:11,804 - lightrag - INFO - _check_edge_existence:query:MATCH (a:`GHOST OF CHRISTMAS PRESENT`)-[r]-(b:`PIES`) RETURN COUNT(r) > 0 AS edgeExists:result:False +2024-10-30 05:12:11,960 - lightrag - INFO - _check_node_exists:query:MATCH (n:`GHOST OF CHRISTMAS PRESENT`) RETURN count(n) > 0 AS node_exists:result:True +2024-10-30 05:12:12,132 - lightrag - INFO - _check_node_exists:query:MATCH (n:`PIES`) RETURN count(n) > 0 AS node_exists:result:True +2024-10-30 05:12:12,317 - lightrag - INFO - _do_upsert_edge:query: + MATCH (source:`GHOST OF CHRISTMAS PRESENT`) WITH source - MATCH (target:`THE DANCE`) + MATCH (target:`PIES`) MERGE (source)-[r:DIRECTED]->(target) SET r += $properties RETURN r :result:None -2024-10-29 13:36:18,421 - lightrag - INFO - _check_edge_existence:query:MATCH (a:`THE DANCE`)-[r]-(b:`THE FIDDLER`) RETURN COUNT(r) > 0 AS edgeExists:result:False -2024-10-29 13:36:18,585 - lightrag - INFO - _check_node_exists:query:MATCH (n:`THE DANCE`) RETURN count(n) > 0 AS node_exists:result:True -2024-10-29 13:36:18,759 - lightrag - INFO - _check_node_exists:query:MATCH (n:`THE FIDDLER`) RETURN count(n) > 0 AS node_exists:result:True -2024-10-29 13:36:18,942 - lightrag - INFO - _do_upsert_edge:query: - MATCH (source:`THE DANCE`) +2024-10-30 05:12:12,505 - lightrag - INFO - _check_edge_existence:query:MATCH (a:`GHOST OF CHRISTMAS PRESENT`)-[r]-(b:`PUDDINGS`) RETURN COUNT(r) > 0 AS edgeExists:result:False +2024-10-30 05:12:12,662 - lightrag - INFO - _check_node_exists:query:MATCH (n:`GHOST OF CHRISTMAS PRESENT`) RETURN count(n) > 0 AS node_exists:result:True +2024-10-30 05:12:12,830 - lightrag - INFO - _check_node_exists:query:MATCH (n:`PUDDINGS`) RETURN count(n) > 0 AS node_exists:result:True +2024-10-30 05:12:13,013 - lightrag - INFO - _do_upsert_edge:query: + MATCH (source:`GHOST OF CHRISTMAS PRESENT`) WITH source - MATCH (target:`THE FIDDLER`) + MATCH (target:`PUDDINGS`) MERGE (source)-[r:DIRECTED]->(target) SET r += $properties RETURN r :result:None -2024-10-29 13:36:19,120 - lightrag - INFO - _check_edge_existence:query:MATCH (a:`FEZZIWIG`)-[r]-(b:`THE YOUNG FOLLOWERS`) RETURN COUNT(r) > 0 AS edgeExists:result:False -2024-10-29 13:36:19,290 - lightrag - INFO - _check_node_exists:query:MATCH (n:`FEZZIWIG`) RETURN count(n) > 0 AS node_exists:result:True -2024-10-29 13:36:19,468 - lightrag - INFO - _check_node_exists:query:MATCH (n:`THE YOUNG FOLLOWERS`) RETURN count(n) > 0 AS node_exists:result:True -2024-10-29 13:36:19,679 - lightrag - INFO - _do_upsert_edge:query: - MATCH (source:`FEZZIWIG`) +2024-10-30 05:12:13,198 - lightrag - INFO - _check_edge_existence:query:MATCH (a:`FRUIT`)-[r]-(b:`GHOST OF CHRISTMAS PRESENT`) RETURN COUNT(r) > 0 AS edgeExists:result:False +2024-10-30 05:12:13,364 - lightrag - INFO - _check_node_exists:query:MATCH (n:`FRUIT`) RETURN count(n) > 0 AS node_exists:result:True +2024-10-30 05:12:13,525 - lightrag - INFO - _check_node_exists:query:MATCH (n:`GHOST OF CHRISTMAS PRESENT`) RETURN count(n) > 0 AS node_exists:result:True +2024-10-30 05:12:13,705 - lightrag - INFO - _do_upsert_edge:query: + MATCH (source:`FRUIT`) WITH source - MATCH (target:`THE YOUNG FOLLOWERS`) + MATCH (target:`GHOST OF CHRISTMAS PRESENT`) MERGE (source)-[r:DIRECTED]->(target) SET r += $properties RETURN r :result:None -2024-10-29 13:36:19,867 - lightrag - INFO - _check_edge_existence:query:MATCH (a:`MRS. FEZZIWIG`)-[r]-(b:`THE YOUNG FOLLOWERS`) RETURN COUNT(r) > 0 AS edgeExists:result:False -2024-10-29 13:36:20,038 - lightrag - INFO - _check_node_exists:query:MATCH (n:`MRS. FEZZIWIG`) RETURN count(n) > 0 AS node_exists:result:True -2024-10-29 13:36:20,204 - lightrag - INFO - _check_node_exists:query:MATCH (n:`THE YOUNG FOLLOWERS`) RETURN count(n) > 0 AS node_exists:result:True -2024-10-29 13:36:20,393 - lightrag - INFO - _do_upsert_edge:query: - MATCH (source:`MRS. FEZZIWIG`) +2024-10-30 05:12:13,884 - lightrag - INFO - _check_edge_existence:query:MATCH (a:`GHOST OF CHRISTMAS PRESENT`)-[r]-(b:`PUNCH`) RETURN COUNT(r) > 0 AS edgeExists:result:False +2024-10-30 05:12:14,039 - lightrag - INFO - _check_node_exists:query:MATCH (n:`GHOST OF CHRISTMAS PRESENT`) RETURN count(n) > 0 AS node_exists:result:True +2024-10-30 05:12:14,215 - lightrag - INFO - _check_node_exists:query:MATCH (n:`PUNCH`) RETURN count(n) > 0 AS node_exists:result:True +2024-10-30 05:12:14,398 - lightrag - INFO - _do_upsert_edge:query: + MATCH (source:`GHOST OF CHRISTMAS PRESENT`) WITH source - MATCH (target:`THE YOUNG FOLLOWERS`) + MATCH (target:`PUNCH`) MERGE (source)-[r:DIRECTED]->(target) SET r += $properties RETURN r :result:None -2024-10-29 13:36:20,577 - lightrag - INFO - _check_edge_existence:query:MATCH (a:`THE BAKE`)-[r]-(b:`THE HOUSEMAID`) RETURN COUNT(r) > 0 AS edgeExists:result:False -2024-10-29 13:36:20,755 - lightrag - INFO - _check_node_exists:query:MATCH (n:`THE BAKE`) RETURN count(n) > 0 AS node_exists:result:False -2024-10-29 13:36:20,933 - lightrag - INFO - _do_upsert:query: - MERGE (n:`THE BAKE`) - SET n += $properties - RETURN n - :result:{'entity_type': '"UNKNOWN"', 'description': '"The Housemaid and The Baker are connected through their roles in the household during the festive gathering."', 'source_id': 'chunk-8bc1edd983869352d14cf0886a9175a7'} -2024-10-29 13:36:21,111 - lightrag - INFO - _check_node_exists:query:MATCH (n:`THE HOUSEMAID`) RETURN count(n) > 0 AS node_exists:result:True -2024-10-29 13:36:21,296 - lightrag - INFO - _do_upsert_edge:query: - MATCH (source:`THE BAKE`) +2024-10-30 05:12:14,587 - lightrag - INFO - _check_edge_existence:query:MATCH (a:`ANTIQUE SCABBARD`)-[r]-(b:`GHOST OF CHRISTMAS PRESENT`) RETURN COUNT(r) > 0 AS edgeExists:result:False +2024-10-30 05:12:14,756 - lightrag - INFO - _check_node_exists:query:MATCH (n:`ANTIQUE SCABBARD`) RETURN count(n) > 0 AS node_exists:result:True +2024-10-30 05:12:14,915 - lightrag - INFO - _check_node_exists:query:MATCH (n:`GHOST OF CHRISTMAS PRESENT`) RETURN count(n) > 0 AS node_exists:result:True +2024-10-30 05:12:15,109 - lightrag - INFO - _do_upsert_edge:query: + MATCH (source:`ANTIQUE SCABBARD`) WITH source - MATCH (target:`THE HOUSEMAID`) + MATCH (target:`GHOST OF CHRISTMAS PRESENT`) MERGE (source)-[r:DIRECTED]->(target) SET r += $properties RETURN r :result:None -2024-10-29 13:36:21,488 - lightrag - INFO - _check_edge_existence:query:MATCH (a:`COLD ROAST`)-[r]-(b:`THE DANCE`) RETURN COUNT(r) > 0 AS edgeExists:result:False -2024-10-29 13:36:21,669 - lightrag - INFO - _check_node_exists:query:MATCH (n:`COLD ROAST`) RETURN count(n) > 0 AS node_exists:result:True -2024-10-29 13:36:21,839 - lightrag - INFO - _check_node_exists:query:MATCH (n:`THE DANCE`) RETURN count(n) > 0 AS node_exists:result:True -2024-10-29 13:36:22,019 - lightrag - INFO - _do_upsert_edge:query: - MATCH (source:`COLD ROAST`) +2024-10-30 05:12:15,288 - lightrag - INFO - _check_edge_existence:query:MATCH (a:`CHRISTMAS`)-[r]-(b:`GROCERS'`) RETURN COUNT(r) > 0 AS edgeExists:result:False +2024-10-30 05:12:15,467 - lightrag - INFO - _check_node_exists:query:MATCH (n:`CHRISTMAS`) RETURN count(n) > 0 AS node_exists:result:True +2024-10-30 05:12:15,643 - lightrag - INFO - _check_node_exists:query:MATCH (n:`GROCERS'`) RETURN count(n) > 0 AS node_exists:result:True +2024-10-30 05:12:15,822 - lightrag - INFO - _do_upsert_edge:query: + MATCH (source:`CHRISTMAS`) WITH source - MATCH (target:`THE DANCE`) + MATCH (target:`GROCERS'`) MERGE (source)-[r:DIRECTED]->(target) SET r += $properties RETURN r :result:None -2024-10-29 13:36:22,210 - lightrag - INFO - _check_edge_existence:query:MATCH (a:`MINCE-PIES`)-[r]-(b:`THE DANCE`) RETURN COUNT(r) > 0 AS edgeExists:result:False -2024-10-29 13:36:22,391 - lightrag - INFO - _check_node_exists:query:MATCH (n:`MINCE-PIES`) RETURN count(n) > 0 AS node_exists:result:True -2024-10-29 13:36:22,559 - lightrag - INFO - _check_node_exists:query:MATCH (n:`THE DANCE`) RETURN count(n) > 0 AS node_exists:result:True -2024-10-29 13:36:22,746 - lightrag - INFO - _do_upsert_edge:query: - MATCH (source:`MINCE-PIES`) +2024-10-30 05:12:16,001 - lightrag - INFO - _check_edge_existence:query:MATCH (a:`CHRISTMAS`)-[r]-(b:`PEOPLE`) RETURN COUNT(r) > 0 AS edgeExists:result:False +2024-10-30 05:12:16,169 - lightrag - INFO - _check_node_exists:query:MATCH (n:`CHRISTMAS`) RETURN count(n) > 0 AS node_exists:result:True +2024-10-30 05:12:16,344 - lightrag - INFO - _check_node_exists:query:MATCH (n:`PEOPLE`) RETURN count(n) > 0 AS node_exists:result:True +2024-10-30 05:12:16,538 - lightrag - INFO - _do_upsert_edge:query: + MATCH (source:`CHRISTMAS`) WITH source - MATCH (target:`THE DANCE`) + MATCH (target:`PEOPLE`) MERGE (source)-[r:DIRECTED]->(target) SET r += $properties RETURN r :result:None -2024-10-29 13:36:22,931 - lightrag - INFO - _check_edge_existence:query:MATCH (a:`NEGUS`)-[r]-(b:`THE DANCE`) RETURN COUNT(r) > 0 AS edgeExists:result:False -2024-10-29 13:36:23,103 - lightrag - INFO - _check_node_exists:query:MATCH (n:`NEGUS`) RETURN count(n) > 0 AS node_exists:result:True -2024-10-29 13:36:23,265 - lightrag - INFO - _check_node_exists:query:MATCH (n:`THE DANCE`) RETURN count(n) > 0 AS node_exists:result:True -2024-10-29 13:36:23,452 - lightrag - INFO - _do_upsert_edge:query: - MATCH (source:`NEGUS`) +2024-10-30 05:12:16,723 - lightrag - INFO - _check_edge_existence:query:MATCH (a:`CHRISTMAS`)-[r]-(b:`GREAT BRITAIN`) RETURN COUNT(r) > 0 AS edgeExists:result:True +2024-10-30 05:12:16,863 - lightrag - INFO - get_edge:query: + MATCH (source:`CHRISTMAS`)-[r]-(target:`GREAT BRITAIN`) + RETURN r + :result:, ) type='DIRECTED' properties={'keywords': '"celebration, societal mood"', 'description': '"The celebration of Christmas brings a cheerful atmosphere to Great Britain despite the gloomy weather conditions."', 'weight': 7.0, 'source_id': 'chunk-99b0ec7f7e006561352b5d65e849611d'}> +2024-10-30 05:12:17,004 - lightrag - INFO - _check_edge_existence:query:MATCH (a:`SCROOGE`)-[r]-(b:`SPIRIT OF CHRISTMAS PRESENT`) RETURN COUNT(r) > 0 AS edgeExists:result:False +2024-10-30 05:12:17,163 - lightrag - INFO - _check_node_exists:query:MATCH (n:`SCROOGE`) RETURN count(n) > 0 AS node_exists:result:True +2024-10-30 05:12:17,339 - lightrag - INFO - _check_node_exists:query:MATCH (n:`SPIRIT OF CHRISTMAS PRESENT`) RETURN count(n) > 0 AS node_exists:result:True +2024-10-30 05:12:17,526 - lightrag - INFO - _do_upsert_edge:query: + MATCH (source:`SCROOGE`) WITH source - MATCH (target:`THE DANCE`) + MATCH (target:`SPIRIT OF CHRISTMAS PRESENT`) MERGE (source)-[r:DIRECTED]->(target) SET r += $properties RETURN r :result:None -2024-10-29 13:36:23,640 - lightrag - INFO - _check_edge_existence:query:MATCH (a:`SCROOGE`)-[r]-(b:`THE GHOST OF CHRISTMAS PAST`) RETURN COUNT(r) > 0 AS edgeExists:result:False -2024-10-29 13:36:23,807 - lightrag - INFO - _check_node_exists:query:MATCH (n:`SCROOGE`) RETURN count(n) > 0 AS node_exists:result:True -2024-10-29 13:36:23,978 - lightrag - INFO - _check_node_exists:query:MATCH (n:`THE GHOST OF CHRISTMAS PAST`) RETURN count(n) > 0 AS node_exists:result:True -2024-10-29 13:36:24,162 - lightrag - INFO - _do_upsert_edge:query: - MATCH (source:`SCROOGE`) +2024-10-30 05:12:17,705 - lightrag - INFO - _check_edge_existence:query:MATCH (a:`BOB CRATCHIT`)-[r]-(b:`SPIRIT OF CHRISTMAS PRESENT`) RETURN COUNT(r) > 0 AS edgeExists:result:False +2024-10-30 05:12:17,875 - lightrag - INFO - _check_node_exists:query:MATCH (n:`BOB CRATCHIT`) RETURN count(n) > 0 AS node_exists:result:True +2024-10-30 05:12:18,045 - lightrag - INFO - _check_node_exists:query:MATCH (n:`SPIRIT OF CHRISTMAS PRESENT`) RETURN count(n) > 0 AS node_exists:result:True +2024-10-30 05:12:18,241 - lightrag - INFO - _do_upsert_edge:query: + MATCH (source:`BOB CRATCHIT`) WITH source - MATCH (target:`THE GHOST OF CHRISTMAS PAST`) + MATCH (target:`SPIRIT OF CHRISTMAS PRESENT`) MERGE (source)-[r:DIRECTED]->(target) SET r += $properties RETURN r :result:None -2024-10-29 13:36:24,351 - lightrag - INFO - _check_edge_existence:query:MATCH (a:`FEZZIWIG`)-[r]-(b:`THE DOMESTIC BALL`) RETURN COUNT(r) > 0 AS edgeExists:result:False -2024-10-29 13:36:24,518 - lightrag - INFO - _check_node_exists:query:MATCH (n:`FEZZIWIG`) RETURN count(n) > 0 AS node_exists:result:True -2024-10-29 13:36:24,692 - lightrag - INFO - _check_node_exists:query:MATCH (n:`THE DOMESTIC BALL`) RETURN count(n) > 0 AS node_exists:result:True -2024-10-29 13:36:24,882 - lightrag - INFO - _do_upsert_edge:query: - MATCH (source:`FEZZIWIG`) +2024-10-30 05:12:18,455 - lightrag - INFO - _check_edge_existence:query:MATCH (a:`BOB CRATCHIT`)-[r]-(b:`THE CRATCHIT HOUSEHOLD`) RETURN COUNT(r) > 0 AS edgeExists:result:False +2024-10-30 05:12:18,630 - lightrag - INFO - _check_node_exists:query:MATCH (n:`BOB CRATCHIT`) RETURN count(n) > 0 AS node_exists:result:True +2024-10-30 05:12:18,800 - lightrag - INFO - _check_node_exists:query:MATCH (n:`THE CRATCHIT HOUSEHOLD`) RETURN count(n) > 0 AS node_exists:result:True +2024-10-30 05:12:18,984 - lightrag - INFO - _do_upsert_edge:query: + MATCH (source:`BOB CRATCHIT`) WITH source - MATCH (target:`THE DOMESTIC BALL`) + MATCH (target:`THE CRATCHIT HOUSEHOLD`) MERGE (source)-[r:DIRECTED]->(target) SET r += $properties RETURN r :result:None -2024-10-29 13:36:25,062 - lightrag - INFO - _check_edge_existence:query:MATCH (a:`DICK`)-[r]-(b:`SCROOGE`) RETURN COUNT(r) > 0 AS edgeExists:result:False -2024-10-29 13:36:25,237 - lightrag - INFO - _check_node_exists:query:MATCH (n:`DICK`) RETURN count(n) > 0 AS node_exists:result:True -2024-10-29 13:36:25,402 - lightrag - INFO - _check_node_exists:query:MATCH (n:`SCROOGE`) RETURN count(n) > 0 AS node_exists:result:True -2024-10-29 13:36:25,590 - lightrag - INFO - _do_upsert_edge:query: - MATCH (source:`DICK`) +2024-10-30 05:12:19,166 - lightrag - INFO - _check_edge_existence:query:MATCH (a:`MRS. CRATCHIT`)-[r]-(b:`THE CRATCHIT HOUSEHOLD`) RETURN COUNT(r) > 0 AS edgeExists:result:False +2024-10-30 05:12:19,341 - lightrag - INFO - _check_node_exists:query:MATCH (n:`MRS. CRATCHIT`) RETURN count(n) > 0 AS node_exists:result:True +2024-10-30 05:12:19,515 - lightrag - INFO - _check_node_exists:query:MATCH (n:`THE CRATCHIT HOUSEHOLD`) RETURN count(n) > 0 AS node_exists:result:True +2024-10-30 05:12:19,700 - lightrag - INFO - _do_upsert_edge:query: + MATCH (source:`MRS. CRATCHIT`) WITH source - MATCH (target:`SCROOGE`) + MATCH (target:`THE CRATCHIT HOUSEHOLD`) MERGE (source)-[r:DIRECTED]->(target) SET r += $properties RETURN r :result:None -2024-10-29 13:36:25,779 - lightrag - INFO - _check_edge_existence:query:MATCH (a:`FEZZIWIG`)-[r]-(b:`THE TWO APPRENTICES`) RETURN COUNT(r) > 0 AS edgeExists:result:False -2024-10-29 13:36:25,948 - lightrag - INFO - _check_node_exists:query:MATCH (n:`FEZZIWIG`) RETURN count(n) > 0 AS node_exists:result:True -2024-10-29 13:36:26,119 - lightrag - INFO - _check_node_exists:query:MATCH (n:`THE TWO APPRENTICES`) RETURN count(n) > 0 AS node_exists:result:True -2024-10-29 13:36:26,302 - lightrag - INFO - _do_upsert_edge:query: - MATCH (source:`FEZZIWIG`) +2024-10-30 05:12:19,882 - lightrag - INFO - _check_edge_existence:query:MATCH (a:`BELINDA CRATCHIT`)-[r]-(b:`THE CRATCHIT HOUSEHOLD`) RETURN COUNT(r) > 0 AS edgeExists:result:False +2024-10-30 05:12:20,052 - lightrag - INFO - _check_node_exists:query:MATCH (n:`BELINDA CRATCHIT`) RETURN count(n) > 0 AS node_exists:result:True +2024-10-30 05:12:20,225 - lightrag - INFO - _check_node_exists:query:MATCH (n:`THE CRATCHIT HOUSEHOLD`) RETURN count(n) > 0 AS node_exists:result:True +2024-10-30 05:12:20,412 - lightrag - INFO - _do_upsert_edge:query: + MATCH (source:`BELINDA CRATCHIT`) WITH source - MATCH (target:`THE TWO APPRENTICES`) + MATCH (target:`THE CRATCHIT HOUSEHOLD`) MERGE (source)-[r:DIRECTED]->(target) SET r += $properties RETURN r :result:None -2024-10-29 13:36:26,490 - lightrag - INFO - _check_edge_existence:query:MATCH (a:`SCROOGE`)-[r]-(b:`THE SPIRIT`) RETURN COUNT(r) > 0 AS edgeExists:result:False -2024-10-29 13:36:26,653 - lightrag - INFO - _check_node_exists:query:MATCH (n:`SCROOGE`) RETURN count(n) > 0 AS node_exists:result:True -2024-10-29 13:36:26,829 - lightrag - INFO - _check_node_exists:query:MATCH (n:`THE SPIRIT`) RETURN count(n) > 0 AS node_exists:result:True -2024-10-29 13:36:27,017 - lightrag - INFO - _do_upsert_edge:query: - MATCH (source:`SCROOGE`) +2024-10-30 05:12:20,598 - lightrag - INFO - _check_edge_existence:query:MATCH (a:`MRS. CRATCHIT`)-[r]-(b:`PETER CRATCHIT`) RETURN COUNT(r) > 0 AS edgeExists:result:True +2024-10-30 05:12:20,736 - lightrag - INFO - get_edge:query: + MATCH (source:`MRS. CRATCHIT`)-[r]-(target:`PETER CRATCHIT`) + RETURN r + :result:, ) type='DIRECTED' properties={'keywords': '"family participation, dynamic"', 'description': '"Peter Cratchit assists his mother, reflecting the family dynamic and contribution of children during festive preparations."', 'weight': 7.0, 'source_id': 'chunk-b0f459f5af1c3a5e0b92cbe4ee48b77b'}> +2024-10-30 05:12:20,874 - lightrag - INFO - _check_edge_existence:query:MATCH (a:`THE GROCER`)-[r]-(b:`THE PEOPLE`) RETURN COUNT(r) > 0 AS edgeExists:result:False +2024-10-30 05:12:21,045 - lightrag - INFO - _check_node_exists:query:MATCH (n:`THE GROCER`) RETURN count(n) > 0 AS node_exists:result:True +2024-10-30 05:12:21,220 - lightrag - INFO - _check_node_exists:query:MATCH (n:`THE PEOPLE`) RETURN count(n) > 0 AS node_exists:result:True +2024-10-30 05:12:21,406 - lightrag - INFO - _do_upsert_edge:query: + MATCH (source:`THE GROCER`) WITH source - MATCH (target:`THE SPIRIT`) + MATCH (target:`THE PEOPLE`) MERGE (source)-[r:DIRECTED]->(target) SET r += $properties RETURN r :result:None -2024-10-29 13:36:27,196 - lightrag - INFO - _check_edge_existence:query:MATCH (a:`SCROOGE`)-[r]-(b:`WEALTH`) RETURN COUNT(r) > 0 AS edgeExists:result:False -2024-10-29 13:36:27,357 - lightrag - INFO - _check_node_exists:query:MATCH (n:`SCROOGE`) RETURN count(n) > 0 AS node_exists:result:True -2024-10-29 13:36:27,530 - lightrag - INFO - _check_node_exists:query:MATCH (n:`WEALTH`) RETURN count(n) > 0 AS node_exists:result:True -2024-10-29 13:36:27,720 - lightrag - INFO - _do_upsert_edge:query: - MATCH (source:`SCROOGE`) +2024-10-30 05:12:21,590 - lightrag - INFO - _check_edge_existence:query:MATCH (a:`THE CRATCHIT HOUSEHOLD`)-[r]-(b:`THE SPIRIT OF CHRISTMAS PRESENT`) RETURN COUNT(r) > 0 AS edgeExists:result:False +2024-10-30 05:12:21,750 - lightrag - INFO - _check_node_exists:query:MATCH (n:`THE CRATCHIT HOUSEHOLD`) RETURN count(n) > 0 AS node_exists:result:True +2024-10-30 05:12:21,924 - lightrag - INFO - _check_node_exists:query:MATCH (n:`THE SPIRIT OF CHRISTMAS PRESENT`) RETURN count(n) > 0 AS node_exists:result:False +2024-10-30 05:12:22,098 - lightrag - INFO - _do_upsert:query: + MERGE (n:`THE SPIRIT OF CHRISTMAS PRESENT`) + SET n += $properties + RETURN n + :result:{'entity_type': '"UNKNOWN"', 'description': '"The Spirit observes and blesses The Cratchit Household, showcasing the joy and struggles of families during Christmas."', 'source_id': 'chunk-b0f459f5af1c3a5e0b92cbe4ee48b77b'} +2024-10-30 05:12:22,284 - lightrag - INFO - _do_upsert_edge:query: + MATCH (source:`THE CRATCHIT HOUSEHOLD`) WITH source - MATCH (target:`WEALTH`) + MATCH (target:`THE SPIRIT OF CHRISTMAS PRESENT`) MERGE (source)-[r:DIRECTED]->(target) SET r += $properties RETURN r :result:None -2024-10-29 13:36:27,904 - lightrag - INFO - _check_edge_existence:query:MATCH (a:`POVERTY`)-[r]-(b:`WEALTH`) RETURN COUNT(r) > 0 AS edgeExists:result:False -2024-10-29 13:36:28,075 - lightrag - INFO - _check_node_exists:query:MATCH (n:`POVERTY`) RETURN count(n) > 0 AS node_exists:result:True -2024-10-29 13:36:28,250 - lightrag - INFO - _check_node_exists:query:MATCH (n:`WEALTH`) RETURN count(n) > 0 AS node_exists:result:True -2024-10-29 13:36:28,429 - lightrag - INFO - _do_upsert_edge:query: - MATCH (source:`POVERTY`) +2024-10-30 05:12:22,468 - lightrag - INFO - _check_edge_existence:query:MATCH (a:`THE BAKER'S SHOP`)-[r]-(b:`THE PEOPLE`) RETURN COUNT(r) > 0 AS edgeExists:result:False +2024-10-30 05:12:22,640 - lightrag - INFO - _check_node_exists:query:MATCH (n:`THE BAKER'S SHOP`) RETURN count(n) > 0 AS node_exists:result:True +2024-10-30 05:12:22,812 - lightrag - INFO - _check_node_exists:query:MATCH (n:`THE PEOPLE`) RETURN count(n) > 0 AS node_exists:result:True +2024-10-30 05:12:22,992 - lightrag - INFO - _do_upsert_edge:query: + MATCH (source:`THE BAKER'S SHOP`) WITH source - MATCH (target:`WEALTH`) + MATCH (target:`THE PEOPLE`) MERGE (source)-[r:DIRECTED]->(target) SET r += $properties RETURN r :result:None -2024-10-29 13:36:28,614 - lightrag - INFO - _check_edge_existence:query:MATCH (a:`SCROOGE`)-[r]-(b:`THE YOUNG GIRL`) RETURN COUNT(r) > 0 AS edgeExists:result:False -2024-10-29 13:36:28,776 - lightrag - INFO - _check_node_exists:query:MATCH (n:`SCROOGE`) RETURN count(n) > 0 AS node_exists:result:True -2024-10-29 13:36:28,960 - lightrag - INFO - _check_node_exists:query:MATCH (n:`THE YOUNG GIRL`) RETURN count(n) > 0 AS node_exists:result:True -2024-10-29 13:36:29,142 - lightrag - INFO - _do_upsert_edge:query: - MATCH (source:`SCROOGE`) +2024-10-30 05:12:23,168 - lightrag - INFO - _check_edge_existence:query:MATCH (a:`THE SPIRIT OF CHRISTMAS PRESENT`)-[r]-(b:`THE STREETS`) RETURN COUNT(r) > 0 AS edgeExists:result:False +2024-10-30 05:12:23,339 - lightrag - INFO - _check_node_exists:query:MATCH (n:`THE SPIRIT OF CHRISTMAS PRESENT`) RETURN count(n) > 0 AS node_exists:result:True +2024-10-30 05:12:23,513 - lightrag - INFO - _check_node_exists:query:MATCH (n:`THE STREETS`) RETURN count(n) > 0 AS node_exists:result:True +2024-10-30 05:12:23,701 - lightrag - INFO - _do_upsert_edge:query: + MATCH (source:`THE SPIRIT OF CHRISTMAS PRESENT`) WITH source - MATCH (target:`THE YOUNG GIRL`) + MATCH (target:`THE STREETS`) MERGE (source)-[r:DIRECTED]->(target) SET r += $properties RETURN r :result:None -2024-10-29 13:36:29,326 - lightrag - INFO - _check_edge_existence:query:MATCH (a:`THE DAUGHTER`)-[r]-(b:`THE MOTHER`) RETURN COUNT(r) > 0 AS edgeExists:result:False -2024-10-29 13:36:29,497 - lightrag - INFO - _check_node_exists:query:MATCH (n:`THE DAUGHTER`) RETURN count(n) > 0 AS node_exists:result:True -2024-10-29 13:36:29,673 - lightrag - INFO - _check_node_exists:query:MATCH (n:`THE MOTHER`) RETURN count(n) > 0 AS node_exists:result:True -2024-10-29 13:36:29,860 - lightrag - INFO - _do_upsert_edge:query: - MATCH (source:`THE DAUGHTER`) +2024-10-30 05:12:23,883 - lightrag - INFO - _check_edge_existence:query:MATCH (a:`THE CRATCHIT HOUSEHOLD`)-[r]-(b:`THE SUBURBS`) RETURN COUNT(r) > 0 AS edgeExists:result:False +2024-10-30 05:12:24,041 - lightrag - INFO - _check_node_exists:query:MATCH (n:`THE CRATCHIT HOUSEHOLD`) RETURN count(n) > 0 AS node_exists:result:True +2024-10-30 05:12:24,214 - lightrag - INFO - _check_node_exists:query:MATCH (n:`THE SUBURBS`) RETURN count(n) > 0 AS node_exists:result:True +2024-10-30 05:12:24,401 - lightrag - INFO - _do_upsert_edge:query: + MATCH (source:`THE CRATCHIT HOUSEHOLD`) WITH source - MATCH (target:`THE MOTHER`) + MATCH (target:`THE SUBURBS`) MERGE (source)-[r:DIRECTED]->(target) SET r += $properties RETURN r :result:None -2024-10-29 13:36:30,045 - lightrag - INFO - _check_edge_existence:query:MATCH (a:`BELLE`)-[r]-(b:`SCROOGE`) RETURN COUNT(r) > 0 AS edgeExists:result:False -2024-10-29 13:36:30,218 - lightrag - INFO - _check_node_exists:query:MATCH (n:`BELLE`) RETURN count(n) > 0 AS node_exists:result:True -2024-10-29 13:36:30,379 - lightrag - INFO - _check_node_exists:query:MATCH (n:`SCROOGE`) RETURN count(n) > 0 AS node_exists:result:True -2024-10-29 13:36:30,566 - lightrag - INFO - _do_upsert_edge:query: - MATCH (source:`BELLE`) +2024-10-30 05:12:24,585 - lightrag - INFO - _check_edge_existence:query:MATCH (a:`DINNERS`)-[r]-(b:`THE CRATCHIT HOUSEHOLD`) RETURN COUNT(r) > 0 AS edgeExists:result:False +2024-10-30 05:12:24,762 - lightrag - INFO - _check_node_exists:query:MATCH (n:`DINNERS`) RETURN count(n) > 0 AS node_exists:result:True +2024-10-30 05:12:24,921 - lightrag - INFO - _check_node_exists:query:MATCH (n:`THE CRATCHIT HOUSEHOLD`) RETURN count(n) > 0 AS node_exists:result:True +2024-10-30 05:12:25,104 - lightrag - INFO - _do_upsert_edge:query: + MATCH (source:`DINNERS`) WITH source - MATCH (target:`SCROOGE`) + MATCH (target:`THE CRATCHIT HOUSEHOLD`) MERGE (source)-[r:DIRECTED]->(target) SET r += $properties RETURN r :result:None -2024-10-29 13:36:30,749 - lightrag - INFO - _check_edge_existence:query:MATCH (a:`THE BEDROOM`)-[r]-(b:`THE SPIRIT`) RETURN COUNT(r) > 0 AS edgeExists:result:False -2024-10-29 13:36:30,925 - lightrag - INFO - _check_node_exists:query:MATCH (n:`THE BEDROOM`) RETURN count(n) > 0 AS node_exists:result:True -2024-10-29 13:36:31,101 - lightrag - INFO - _check_node_exists:query:MATCH (n:`THE SPIRIT`) RETURN count(n) > 0 AS node_exists:result:True -2024-10-29 13:36:31,283 - lightrag - INFO - _do_upsert_edge:query: - MATCH (source:`THE BEDROOM`) +2024-10-30 05:12:25,285 - lightrag - INFO - _check_edge_existence:query:MATCH (a:`BOB CRATCHIT`)-[r]-(b:`MARTHA`) RETURN COUNT(r) > 0 AS edgeExists:result:False +2024-10-30 05:12:25,459 - lightrag - INFO - _check_node_exists:query:MATCH (n:`BOB CRATCHIT`) RETURN count(n) > 0 AS node_exists:result:True +2024-10-30 05:12:25,637 - lightrag - INFO - _check_node_exists:query:MATCH (n:`MARTHA`) RETURN count(n) > 0 AS node_exists:result:True +2024-10-30 05:12:25,824 - lightrag - INFO - _do_upsert_edge:query: + MATCH (source:`BOB CRATCHIT`) WITH source - MATCH (target:`THE SPIRIT`) + MATCH (target:`MARTHA`) MERGE (source)-[r:DIRECTED]->(target) SET r += $properties RETURN r :result:None -2024-10-29 13:36:31,471 - lightrag - INFO - _check_edge_existence:query:MATCH (a:`THE CHILDREN`)-[r]-(b:`THE FATHER`) RETURN COUNT(r) > 0 AS edgeExists:result:False -2024-10-29 13:36:31,646 - lightrag - INFO - _check_node_exists:query:MATCH (n:`THE CHILDREN`) RETURN count(n) > 0 AS node_exists:result:True -2024-10-29 13:36:31,840 - lightrag - INFO - _check_node_exists:query:MATCH (n:`THE FATHER`) RETURN count(n) > 0 AS node_exists:result:True -2024-10-29 13:36:32,025 - lightrag - INFO - _do_upsert_edge:query: - MATCH (source:`THE CHILDREN`) +2024-10-30 05:12:26,011 - lightrag - INFO - _check_edge_existence:query:MATCH (a:`CRATCHIT CHRISTMAS DINNER`)-[r]-(b:`CRATCHIT FAMILY`) RETURN COUNT(r) > 0 AS edgeExists:result:False +2024-10-30 05:12:26,179 - lightrag - INFO - _check_node_exists:query:MATCH (n:`CRATCHIT CHRISTMAS DINNER`) RETURN count(n) > 0 AS node_exists:result:True +2024-10-30 05:12:26,356 - lightrag - INFO - _check_node_exists:query:MATCH (n:`CRATCHIT FAMILY`) RETURN count(n) > 0 AS node_exists:result:True +2024-10-30 05:12:26,543 - lightrag - INFO - _do_upsert_edge:query: + MATCH (source:`CRATCHIT CHRISTMAS DINNER`) WITH source - MATCH (target:`THE FATHER`) + MATCH (target:`CRATCHIT FAMILY`) MERGE (source)-[r:DIRECTED]->(target) SET r += $properties RETURN r :result:None -2024-10-29 13:36:32,207 - lightrag - INFO - _check_edge_existence:query:MATCH (a:`THE CHILDREN`)-[r]-(b:`THE PORTER`) RETURN COUNT(r) > 0 AS edgeExists:result:False -2024-10-29 13:36:32,374 - lightrag - INFO - _check_node_exists:query:MATCH (n:`THE CHILDREN`) RETURN count(n) > 0 AS node_exists:result:True -2024-10-29 13:36:32,555 - lightrag - INFO - _check_node_exists:query:MATCH (n:`THE PORTER`) RETURN count(n) > 0 AS node_exists:result:True -2024-10-29 13:36:32,746 - lightrag - INFO - _do_upsert_edge:query: - MATCH (source:`THE CHILDREN`) +2024-10-30 05:12:26,726 - lightrag - INFO - _check_edge_existence:query:MATCH (a:`CRATCHIT FAMILY`)-[r]-(b:`TINY TIM`) RETURN COUNT(r) > 0 AS edgeExists:result:True +2024-10-30 05:12:26,866 - lightrag - INFO - get_edge:query: + MATCH (source:`CRATCHIT FAMILY`)-[r]-(target:`TINY TIM`) + RETURN r + :result:, ) type='DIRECTED' properties={'keywords': '"family bond, celebration""family ties, innocence"', 'description': '"Tiny Tim\'s presence in the Cratchit family adds to their joy and highlights the family\'s spirit of togetherness during Christmas.""Tiny Tim, as part of the Cratchit Family, represents the innocence and vulnerability of the family, affecting their dynamics during Christmas."', 'weight': 15.0, 'source_id': 'chunk-7e2e7ebcc19a53b399dc03aded4743e7chunk-19d72c57ae3408758b18d2568e86dc6b'}> +2024-10-30 05:12:27,009 - lightrag - INFO - _check_edge_existence:query:MATCH (a:`CRATCHIT CHRISTMAS DINNER`)-[r]-(b:`MRS. CRATCHIT`) RETURN COUNT(r) > 0 AS edgeExists:result:False +2024-10-30 05:12:27,182 - lightrag - INFO - _check_node_exists:query:MATCH (n:`CRATCHIT CHRISTMAS DINNER`) RETURN count(n) > 0 AS node_exists:result:True +2024-10-30 05:12:27,354 - lightrag - INFO - _check_node_exists:query:MATCH (n:`MRS. CRATCHIT`) RETURN count(n) > 0 AS node_exists:result:True +2024-10-30 05:12:27,541 - lightrag - INFO - _do_upsert_edge:query: + MATCH (source:`CRATCHIT CHRISTMAS DINNER`) WITH source - MATCH (target:`THE PORTER`) + MATCH (target:`MRS. CRATCHIT`) MERGE (source)-[r:DIRECTED]->(target) SET r += $properties RETURN r :result:None -2024-10-29 13:36:32,931 - lightrag - INFO - _check_edge_existence:query:MATCH (a:`THE CHILDREN`)-[r]-(b:`THE HOUSE`) RETURN COUNT(r) > 0 AS edgeExists:result:False -2024-10-29 13:36:33,100 - lightrag - INFO - _check_node_exists:query:MATCH (n:`THE CHILDREN`) RETURN count(n) > 0 AS node_exists:result:True -2024-10-29 13:36:33,271 - lightrag - INFO - _check_node_exists:query:MATCH (n:`THE HOUSE`) RETURN count(n) > 0 AS node_exists:result:True -2024-10-29 13:36:33,465 - lightrag - INFO - _do_upsert_edge:query: - MATCH (source:`THE CHILDREN`) +2024-10-30 05:12:27,722 - lightrag - INFO - _check_edge_existence:query:MATCH (a:`CRATCHIT CHRISTMAS DINNER`)-[r]-(b:`THE GOOSE`) RETURN COUNT(r) > 0 AS edgeExists:result:False +2024-10-30 05:12:27,881 - lightrag - INFO - _check_node_exists:query:MATCH (n:`CRATCHIT CHRISTMAS DINNER`) RETURN count(n) > 0 AS node_exists:result:True +2024-10-30 05:12:28,050 - lightrag - INFO - _check_node_exists:query:MATCH (n:`THE GOOSE`) RETURN count(n) > 0 AS node_exists:result:True +2024-10-30 05:12:28,234 - lightrag - INFO - _do_upsert_edge:query: + MATCH (source:`CRATCHIT CHRISTMAS DINNER`) WITH source - MATCH (target:`THE HOUSE`) + MATCH (target:`THE GOOSE`) MERGE (source)-[r:DIRECTED]->(target) SET r += $properties RETURN r :result:None -2024-10-29 13:36:33,649 - lightrag - INFO - _check_edge_existence:query:MATCH (a:`THE FATHER`)-[r]-(b:`THE MOTHER`) RETURN COUNT(r) > 0 AS edgeExists:result:False -2024-10-29 13:36:33,824 - lightrag - INFO - _check_node_exists:query:MATCH (n:`THE FATHER`) RETURN count(n) > 0 AS node_exists:result:True -2024-10-29 13:36:33,999 - lightrag - INFO - _check_node_exists:query:MATCH (n:`THE MOTHER`) RETURN count(n) > 0 AS node_exists:result:True -2024-10-29 13:36:34,183 - lightrag - INFO - _do_upsert_edge:query: - MATCH (source:`THE FATHER`) +2024-10-30 05:12:28,418 - lightrag - INFO - _check_edge_existence:query:MATCH (a:`THE YOUNG CRATCHITS`)-[r]-(b:`TINY TIM`) RETURN COUNT(r) > 0 AS edgeExists:result:False +2024-10-30 05:12:28,585 - lightrag - INFO - _check_node_exists:query:MATCH (n:`THE YOUNG CRATCHITS`) RETURN count(n) > 0 AS node_exists:result:True +2024-10-30 05:12:28,757 - lightrag - INFO - _check_node_exists:query:MATCH (n:`TINY TIM`) RETURN count(n) > 0 AS node_exists:result:True +2024-10-30 05:12:28,939 - lightrag - INFO - _do_upsert_edge:query: + MATCH (source:`THE YOUNG CRATCHITS`) WITH source - MATCH (target:`THE MOTHER`) + MATCH (target:`TINY TIM`) MERGE (source)-[r:DIRECTED]->(target) SET r += $properties RETURN r :result:None -2024-10-29 13:36:34,369 - lightrag - INFO - _check_edge_existence:query:MATCH (a:`THE GHOST`)-[r]-(b:`THE SPIRIT`) RETURN COUNT(r) > 0 AS edgeExists:result:False -2024-10-29 13:36:34,543 - lightrag - INFO - _check_node_exists:query:MATCH (n:`THE GHOST`) RETURN count(n) > 0 AS node_exists:result:True -2024-10-29 13:36:34,723 - lightrag - INFO - _check_node_exists:query:MATCH (n:`THE SPIRIT`) RETURN count(n) > 0 AS node_exists:result:True -2024-10-29 13:36:34,912 - lightrag - INFO - _do_upsert_edge:query: - MATCH (source:`THE GHOST`) +2024-10-30 05:12:29,118 - lightrag - INFO - _check_edge_existence:query:MATCH (a:`THE FIRE`)-[r]-(b:`TINY TIM`) RETURN COUNT(r) > 0 AS edgeExists:result:False +2024-10-30 05:12:29,286 - lightrag - INFO - _check_node_exists:query:MATCH (n:`THE FIRE`) RETURN count(n) > 0 AS node_exists:result:True +2024-10-30 05:12:29,456 - lightrag - INFO - _check_node_exists:query:MATCH (n:`TINY TIM`) RETURN count(n) > 0 AS node_exists:result:True +2024-10-30 05:12:29,643 - lightrag - INFO - _do_upsert_edge:query: + MATCH (source:`THE FIRE`) WITH source - MATCH (target:`THE SPIRIT`) + MATCH (target:`TINY TIM`) MERGE (source)-[r:DIRECTED]->(target) SET r += $properties RETURN r :result:None -2024-10-29 13:36:35,097 - lightrag - INFO - _check_edge_existence:query:MATCH (a:`GHOST OF CHRISTMAS PRESENT`)-[r]-(b:`SCROOGE`) RETURN COUNT(r) > 0 AS edgeExists:result:False -2024-10-29 13:36:35,269 - lightrag - INFO - _check_node_exists:query:MATCH (n:`GHOST OF CHRISTMAS PRESENT`) RETURN count(n) > 0 AS node_exists:result:True -2024-10-29 13:36:35,428 - lightrag - INFO - _check_node_exists:query:MATCH (n:`SCROOGE`) RETURN count(n) > 0 AS node_exists:result:True -2024-10-29 13:36:35,616 - lightrag - INFO - _do_upsert_edge:query: - MATCH (source:`GHOST OF CHRISTMAS PRESENT`) +2024-10-30 05:12:29,832 - lightrag - INFO - _check_edge_existence:query:MATCH (a:`CRATCHIT CHRISTMAS DINNER`)-[r]-(b:`THE PUDDING`) RETURN COUNT(r) > 0 AS edgeExists:result:False +2024-10-30 05:12:29,990 - lightrag - INFO - _check_node_exists:query:MATCH (n:`CRATCHIT CHRISTMAS DINNER`) RETURN count(n) > 0 AS node_exists:result:True +2024-10-30 05:12:30,158 - lightrag - INFO - _check_node_exists:query:MATCH (n:`THE PUDDING`) RETURN count(n) > 0 AS node_exists:result:True +2024-10-30 05:12:30,341 - lightrag - INFO - _do_upsert_edge:query: + MATCH (source:`CRATCHIT CHRISTMAS DINNER`) WITH source - MATCH (target:`SCROOGE`) + MATCH (target:`THE PUDDING`) MERGE (source)-[r:DIRECTED]->(target) SET r += $properties RETURN r :result:None -2024-10-29 13:36:35,802 - lightrag - INFO - _check_edge_existence:query:MATCH (a:`GHOST OF CHRISTMAS PRESENT`)-[r]-(b:`TURKEY`) RETURN COUNT(r) > 0 AS edgeExists:result:False -2024-10-29 13:36:35,975 - lightrag - INFO - _check_node_exists:query:MATCH (n:`GHOST OF CHRISTMAS PRESENT`) RETURN count(n) > 0 AS node_exists:result:True -2024-10-29 13:36:36,150 - lightrag - INFO - _check_node_exists:query:MATCH (n:`TURKEY`) RETURN count(n) > 0 AS node_exists:result:True -2024-10-29 13:36:36,341 - lightrag - INFO - _do_upsert_edge:query: - MATCH (source:`GHOST OF CHRISTMAS PRESENT`) +2024-10-30 05:12:30,532 - lightrag - INFO - _check_edge_existence:query:MATCH (a:`MRS. CRATCHIT`)-[r]-(b:`THE DINNER`) RETURN COUNT(r) > 0 AS edgeExists:result:False +2024-10-30 05:12:30,707 - lightrag - INFO - _check_node_exists:query:MATCH (n:`MRS. CRATCHIT`) RETURN count(n) > 0 AS node_exists:result:True +2024-10-30 05:12:30,883 - lightrag - INFO - _check_node_exists:query:MATCH (n:`THE DINNER`) RETURN count(n) > 0 AS node_exists:result:True +2024-10-30 05:12:31,064 - lightrag - INFO - _do_upsert_edge:query: + MATCH (source:`MRS. CRATCHIT`) WITH source - MATCH (target:`TURKEY`) + MATCH (target:`THE DINNER`) MERGE (source)-[r:DIRECTED]->(target) SET r += $properties RETURN r :result:None -2024-10-29 13:36:36,528 - lightrag - INFO - _check_edge_existence:query:MATCH (a:`GHOST OF CHRISTMAS PRESENT`)-[r]-(b:`HOLLY`) RETURN COUNT(r) > 0 AS edgeExists:result:False -2024-10-29 13:36:36,693 - lightrag - INFO - _check_node_exists:query:MATCH (n:`GHOST OF CHRISTMAS PRESENT`) RETURN count(n) > 0 AS node_exists:result:True -2024-10-29 13:36:36,874 - lightrag - INFO - _check_node_exists:query:MATCH (n:`HOLLY`) RETURN count(n) > 0 AS node_exists:result:True -2024-10-29 13:36:37,067 - lightrag - INFO - _do_upsert_edge:query: - MATCH (source:`GHOST OF CHRISTMAS PRESENT`) +2024-10-30 05:12:31,250 - lightrag - INFO - _check_edge_existence:query:MATCH (a:`THE CRATCHIT FAMILY`)-[r]-(b:`THE DINNER`) RETURN COUNT(r) > 0 AS edgeExists:result:False +2024-10-30 05:12:31,420 - lightrag - INFO - _check_node_exists:query:MATCH (n:`THE CRATCHIT FAMILY`) RETURN count(n) > 0 AS node_exists:result:True +2024-10-30 05:12:31,595 - lightrag - INFO - _check_node_exists:query:MATCH (n:`THE DINNER`) RETURN count(n) > 0 AS node_exists:result:True +2024-10-30 05:12:31,778 - lightrag - INFO - _do_upsert_edge:query: + MATCH (source:`THE CRATCHIT FAMILY`) WITH source - MATCH (target:`HOLLY`) + MATCH (target:`THE DINNER`) MERGE (source)-[r:DIRECTED]->(target) SET r += $properties RETURN r :result:None -2024-10-29 13:36:37,251 - lightrag - INFO - _check_edge_existence:query:MATCH (a:`GHOST OF CHRISTMAS PRESENT`)-[r]-(b:`IVY`) RETURN COUNT(r) > 0 AS edgeExists:result:False -2024-10-29 13:36:37,417 - lightrag - INFO - _check_node_exists:query:MATCH (n:`GHOST OF CHRISTMAS PRESENT`) RETURN count(n) > 0 AS node_exists:result:True -2024-10-29 13:36:37,587 - lightrag - INFO - _check_node_exists:query:MATCH (n:`IVY`) RETURN count(n) > 0 AS node_exists:result:True -2024-10-29 13:36:37,774 - lightrag - INFO - _do_upsert_edge:query: - MATCH (source:`GHOST OF CHRISTMAS PRESENT`) - WITH source - MATCH (target:`IVY`) - MERGE (source)-[r:DIRECTED]->(target) - SET r += $properties +2024-10-30 05:12:31,968 - lightrag - INFO - _check_edge_existence:query:MATCH (a:`SCROOGE`)-[r]-(b:`TINY TIM`) RETURN COUNT(r) > 0 AS edgeExists:result:True +2024-10-30 05:12:32,102 - lightrag - INFO - get_edge:query: + MATCH (source:`SCROOGE`)-[r]-(target:`TINY TIM`) RETURN r - :result:None -2024-10-29 13:36:37,958 - lightrag - INFO - _check_edge_existence:query:MATCH (a:`CITY`)-[r]-(b:`SCROOGE`) RETURN COUNT(r) > 0 AS edgeExists:result:False -2024-10-29 13:36:38,133 - lightrag - INFO - _check_node_exists:query:MATCH (n:`CITY`) RETURN count(n) > 0 AS node_exists:result:True -2024-10-29 13:36:38,294 - lightrag - INFO - _check_node_exists:query:MATCH (n:`SCROOGE`) RETURN count(n) > 0 AS node_exists:result:True -2024-10-29 13:36:38,477 - lightrag - INFO - _do_upsert_edge:query: - MATCH (source:`CITY`) + :result:, ) type='DIRECTED' properties={'keywords': '"personal transformation, empathy""transformation, mentorship""transformation, redemption"', 'description': '"Scrooge becomes a father figure to Tiny Tim, showing a deep commitment to his well-being after realizing the importance of family and caring for others.""Scrooge reflects on Tiny Tim and expresses concern for his wellbeing, indicating a pivotal change in his character and attitudes towards the less fortunate.""Scrooge\'s transformation is influenced by his reflections on the impact of Tiny Tim\'s life and death."', 'weight': 26.0, 'source_id': 'chunk-94bea83e7153fc2064aa382b494936a1chunk-503f0bfa5453467c7c61d160a3540ecachunk-91572b3cd42786ba4cb2f180ca25cbf4'}> +2024-10-30 05:12:32,239 - lightrag - INFO - _check_edge_existence:query:MATCH (a:`THE DINNER`)-[r]-(b:`THE GOOSE`) RETURN COUNT(r) > 0 AS edgeExists:result:False +2024-10-30 05:12:32,401 - lightrag - INFO - _check_node_exists:query:MATCH (n:`THE DINNER`) RETURN count(n) > 0 AS node_exists:result:True +2024-10-30 05:12:32,574 - lightrag - INFO - _check_node_exists:query:MATCH (n:`THE GOOSE`) RETURN count(n) > 0 AS node_exists:result:True +2024-10-30 05:12:32,756 - lightrag - INFO - _do_upsert_edge:query: + MATCH (source:`THE DINNER`) WITH source - MATCH (target:`SCROOGE`) + MATCH (target:`THE GOOSE`) MERGE (source)-[r:DIRECTED]->(target) SET r += $properties RETURN r :result:None -2024-10-29 13:36:38,657 - lightrag - INFO - _check_edge_existence:query:MATCH (a:`GHOST OF CHRISTMAS PRESENT`)-[r]-(b:`TURKEYS`) RETURN COUNT(r) > 0 AS edgeExists:result:False -2024-10-29 13:36:38,822 - lightrag - INFO - _check_node_exists:query:MATCH (n:`GHOST OF CHRISTMAS PRESENT`) RETURN count(n) > 0 AS node_exists:result:True -2024-10-29 13:36:38,998 - lightrag - INFO - _check_node_exists:query:MATCH (n:`TURKEYS`) RETURN count(n) > 0 AS node_exists:result:True -2024-10-29 13:36:39,192 - lightrag - INFO - _do_upsert_edge:query: - MATCH (source:`GHOST OF CHRISTMAS PRESENT`) +2024-10-30 05:12:32,941 - lightrag - INFO - _check_edge_existence:query:MATCH (a:`THE DINNER`)-[r]-(b:`THE PUDDING`) RETURN COUNT(r) > 0 AS edgeExists:result:False +2024-10-30 05:12:33,104 - lightrag - INFO - _check_node_exists:query:MATCH (n:`THE DINNER`) RETURN count(n) > 0 AS node_exists:result:True +2024-10-30 05:12:33,273 - lightrag - INFO - _check_node_exists:query:MATCH (n:`THE PUDDING`) RETURN count(n) > 0 AS node_exists:result:True +2024-10-30 05:12:33,454 - lightrag - INFO - _do_upsert_edge:query: + MATCH (source:`THE DINNER`) WITH source - MATCH (target:`TURKEYS`) + MATCH (target:`THE PUDDING`) MERGE (source)-[r:DIRECTED]->(target) SET r += $properties RETURN r :result:None -2024-10-29 13:36:39,375 - lightrag - INFO - _check_edge_existence:query:MATCH (a:`GEESE`)-[r]-(b:`GHOST OF CHRISTMAS PRESENT`) RETURN COUNT(r) > 0 AS edgeExists:result:False -2024-10-29 13:36:39,549 - lightrag - INFO - _check_node_exists:query:MATCH (n:`GEESE`) RETURN count(n) > 0 AS node_exists:result:True -2024-10-29 13:36:39,712 - lightrag - INFO - _check_node_exists:query:MATCH (n:`GHOST OF CHRISTMAS PRESENT`) RETURN count(n) > 0 AS node_exists:result:True -2024-10-29 13:36:39,899 - lightrag - INFO - _do_upsert_edge:query: - MATCH (source:`GEESE`) +2024-10-30 05:12:33,641 - lightrag - INFO - _check_edge_existence:query:MATCH (a:`MISS BELINDA`)-[r]-(b:`THE DINNER`) RETURN COUNT(r) > 0 AS edgeExists:result:False +2024-10-30 05:12:33,818 - lightrag - INFO - _check_node_exists:query:MATCH (n:`MISS BELINDA`) RETURN count(n) > 0 AS node_exists:result:True +2024-10-30 05:12:33,976 - lightrag - INFO - _check_node_exists:query:MATCH (n:`THE DINNER`) RETURN count(n) > 0 AS node_exists:result:True +2024-10-30 05:12:34,156 - lightrag - INFO - _do_upsert_edge:query: + MATCH (source:`MISS BELINDA`) WITH source - MATCH (target:`GHOST OF CHRISTMAS PRESENT`) + MATCH (target:`THE DINNER`) MERGE (source)-[r:DIRECTED]->(target) SET r += $properties RETURN r :result:None -2024-10-29 13:36:40,081 - lightrag - INFO - _check_edge_existence:query:MATCH (a:`GAME`)-[r]-(b:`GHOST OF CHRISTMAS PRESENT`) RETURN COUNT(r) > 0 AS edgeExists:result:False -2024-10-29 13:36:40,259 - lightrag - INFO - _check_node_exists:query:MATCH (n:`GAME`) RETURN count(n) > 0 AS node_exists:result:True -2024-10-29 13:36:40,419 - lightrag - INFO - _check_node_exists:query:MATCH (n:`GHOST OF CHRISTMAS PRESENT`) RETURN count(n) > 0 AS node_exists:result:True -2024-10-29 13:36:40,600 - lightrag - INFO - _do_upsert_edge:query: - MATCH (source:`GAME`) +2024-10-30 05:12:34,335 - lightrag - INFO - _check_edge_existence:query:MATCH (a:`CHRISTMAS`)-[r]-(b:`THE DINNER`) RETURN COUNT(r) > 0 AS edgeExists:result:False +2024-10-30 05:12:34,503 - lightrag - INFO - _check_node_exists:query:MATCH (n:`CHRISTMAS`) RETURN count(n) > 0 AS node_exists:result:True +2024-10-30 05:12:34,662 - lightrag - INFO - _check_node_exists:query:MATCH (n:`THE DINNER`) RETURN count(n) > 0 AS node_exists:result:True +2024-10-30 05:12:34,856 - lightrag - INFO - _do_upsert_edge:query: + MATCH (source:`CHRISTMAS`) WITH source - MATCH (target:`GHOST OF CHRISTMAS PRESENT`) + MATCH (target:`THE DINNER`) MERGE (source)-[r:DIRECTED]->(target) SET r += $properties RETURN r :result:None -2024-10-29 13:36:40,786 - lightrag - INFO - _check_edge_existence:query:MATCH (a:`BRAWN`)-[r]-(b:`GHOST OF CHRISTMAS PRESENT`) RETURN COUNT(r) > 0 AS edgeExists:result:False -2024-10-29 13:36:40,962 - lightrag - INFO - _check_node_exists:query:MATCH (n:`BRAWN`) RETURN count(n) > 0 AS node_exists:result:True -2024-10-29 13:36:41,129 - lightrag - INFO - _check_node_exists:query:MATCH (n:`GHOST OF CHRISTMAS PRESENT`) RETURN count(n) > 0 AS node_exists:result:True -2024-10-29 13:36:41,316 - lightrag - INFO - _do_upsert_edge:query: - MATCH (source:`BRAWN`) +2024-10-30 05:12:35,038 - lightrag - INFO - _check_edge_existence:query:MATCH (a:`SCROOGE`)-[r]-(b:`THE FOUNDER OF THE FEAST`) RETURN COUNT(r) > 0 AS edgeExists:result:False +2024-10-30 05:12:35,195 - lightrag - INFO - _check_node_exists:query:MATCH (n:`SCROOGE`) RETURN count(n) > 0 AS node_exists:result:True +2024-10-30 05:12:35,363 - lightrag - INFO - _check_node_exists:query:MATCH (n:`THE FOUNDER OF THE FEAST`) RETURN count(n) > 0 AS node_exists:result:True +2024-10-30 05:12:35,548 - lightrag - INFO - _do_upsert_edge:query: + MATCH (source:`SCROOGE`) WITH source - MATCH (target:`GHOST OF CHRISTMAS PRESENT`) + MATCH (target:`THE FOUNDER OF THE FEAST`) MERGE (source)-[r:DIRECTED]->(target) SET r += $properties RETURN r :result:None -2024-10-29 13:36:41,497 - lightrag - INFO - _check_edge_existence:query:MATCH (a:`GHOST OF CHRISTMAS PRESENT`)-[r]-(b:`SUCKING-PIGS`) RETURN COUNT(r) > 0 AS edgeExists:result:False -2024-10-29 13:36:41,662 - lightrag - INFO - _check_node_exists:query:MATCH (n:`GHOST OF CHRISTMAS PRESENT`) RETURN count(n) > 0 AS node_exists:result:True -2024-10-29 13:36:41,836 - lightrag - INFO - _check_node_exists:query:MATCH (n:`SUCKING-PIGS`) RETURN count(n) > 0 AS node_exists:result:True -2024-10-29 13:36:42,023 - lightrag - INFO - _do_upsert_edge:query: - MATCH (source:`GHOST OF CHRISTMAS PRESENT`) - WITH source - MATCH (target:`SUCKING-PIGS`) - MERGE (source)-[r:DIRECTED]->(target) - SET r += $properties +2024-10-30 05:12:35,736 - lightrag - INFO - _check_edge_existence:query:MATCH (a:`MRS. CRATCHIT`)-[r]-(b:`SCROOGE`) RETURN COUNT(r) > 0 AS edgeExists:result:True +2024-10-30 05:12:35,868 - lightrag - INFO - get_edge:query: + MATCH (source:`MRS. CRATCHIT`)-[r]-(target:`SCROOGE`) RETURN r - :result:None -2024-10-29 13:36:42,211 - lightrag - INFO - _check_edge_existence:query:MATCH (a:`GHOST OF CHRISTMAS PRESENT`)-[r]-(b:`SAUSAGES`) RETURN COUNT(r) > 0 AS edgeExists:result:False -2024-10-29 13:36:42,372 - lightrag - INFO - _check_node_exists:query:MATCH (n:`GHOST OF CHRISTMAS PRESENT`) RETURN count(n) > 0 AS node_exists:result:True -2024-10-29 13:36:42,539 - lightrag - INFO - _check_node_exists:query:MATCH (n:`SAUSAGES`) RETURN count(n) > 0 AS node_exists:result:True -2024-10-29 13:36:42,717 - lightrag - INFO - _do_upsert_edge:query: - MATCH (source:`GHOST OF CHRISTMAS PRESENT`) + :result:, ) type='DIRECTED' properties={'keywords': '"criticism, emotional conflict"', 'description': '"Mrs. Cratchit openly criticizes Scrooge during the Christmas dinner, expressing her feelings towards him and emphasizing the family\'s resentment."', 'weight': 8.0, 'source_id': 'chunk-19d72c57ae3408758b18d2568e86dc6b'}> +2024-10-30 05:12:36,011 - lightrag - INFO - _check_edge_existence:query:MATCH (a:`CRATCHIT FAMILY`)-[r]-(b:`THE SPIRIT`) RETURN COUNT(r) > 0 AS edgeExists:result:False +2024-10-30 05:12:36,179 - lightrag - INFO - _check_node_exists:query:MATCH (n:`CRATCHIT FAMILY`) RETURN count(n) > 0 AS node_exists:result:True +2024-10-30 05:12:36,349 - lightrag - INFO - _check_node_exists:query:MATCH (n:`THE SPIRIT`) RETURN count(n) > 0 AS node_exists:result:True +2024-10-30 05:12:36,536 - lightrag - INFO - _do_upsert_edge:query: + MATCH (source:`CRATCHIT FAMILY`) WITH source - MATCH (target:`SAUSAGES`) + MATCH (target:`THE SPIRIT`) MERGE (source)-[r:DIRECTED]->(target) SET r += $properties RETURN r :result:None -2024-10-29 13:36:42,902 - lightrag - INFO - _check_edge_existence:query:MATCH (a:`GHOST OF CHRISTMAS PRESENT`)-[r]-(b:`MINCE-PIES`) RETURN COUNT(r) > 0 AS edgeExists:result:False -2024-10-29 13:36:43,066 - lightrag - INFO - _check_node_exists:query:MATCH (n:`GHOST OF CHRISTMAS PRESENT`) RETURN count(n) > 0 AS node_exists:result:True -2024-10-29 13:36:43,244 - lightrag - INFO - _check_node_exists:query:MATCH (n:`MINCE-PIES`) RETURN count(n) > 0 AS node_exists:result:True -2024-10-29 13:36:43,429 - lightrag - INFO - _do_upsert_edge:query: - MATCH (source:`GHOST OF CHRISTMAS PRESENT`) - WITH source - MATCH (target:`MINCE-PIES`) - MERGE (source)-[r:DIRECTED]->(target) - SET r += $properties +2024-10-30 05:12:36,719 - lightrag - INFO - _check_edge_existence:query:MATCH (a:`CHRISTMAS DAY`)-[r]-(b:`CRATCHIT FAMILY`) RETURN COUNT(r) > 0 AS edgeExists:result:True +2024-10-30 05:12:36,857 - lightrag - INFO - get_edge:query: + MATCH (source:`CHRISTMAS DAY`)-[r]-(target:`CRATCHIT FAMILY`) RETURN r - :result:None -2024-10-29 13:36:43,623 - lightrag - INFO - _check_edge_existence:query:MATCH (a:`GHOST OF CHRISTMAS PRESENT`)-[r]-(b:`PLUM-PUDDINGS`) RETURN COUNT(r) > 0 AS edgeExists:result:False -2024-10-29 13:36:43,789 - lightrag - INFO - _check_node_exists:query:MATCH (n:`GHOST OF CHRISTMAS PRESENT`) RETURN count(n) > 0 AS node_exists:result:True -2024-10-29 13:36:43,963 - lightrag - INFO - _check_node_exists:query:MATCH (n:`PLUM-PUDDINGS`) RETURN count(n) > 0 AS node_exists:result:True -2024-10-29 13:36:44,150 - lightrag - INFO - _do_upsert_edge:query: - MATCH (source:`GHOST OF CHRISTMAS PRESENT`) + :result:, ) type='DIRECTED' properties={'keywords': '"celebration, tradition""celebration, unity"', 'description': '"The Cratchit Family gathers to celebrate Christmas Day, reflecting their togetherness and joy despite their hardships.""The Cratchit Family\'s celebration on Christmas Day emphasizes their unity and joy in sharing the holiday together."', 'weight': 19.0, 'source_id': 'chunk-7e2e7ebcc19a53b399dc03aded4743e7chunk-19d72c57ae3408758b18d2568e86dc6b'}> +2024-10-30 05:12:37,000 - lightrag - INFO - _check_edge_existence:query:MATCH (a:`MARTHA CRATCHIT`)-[r]-(b:`PETER CRATCHIT`) RETURN COUNT(r) > 0 AS edgeExists:result:False +2024-10-30 05:12:37,172 - lightrag - INFO - _check_node_exists:query:MATCH (n:`MARTHA CRATCHIT`) RETURN count(n) > 0 AS node_exists:result:True +2024-10-30 05:12:37,341 - lightrag - INFO - _check_node_exists:query:MATCH (n:`PETER CRATCHIT`) RETURN count(n) > 0 AS node_exists:result:True +2024-10-30 05:12:37,523 - lightrag - INFO - _do_upsert_edge:query: + MATCH (source:`MARTHA CRATCHIT`) WITH source - MATCH (target:`PLUM-PUDDINGS`) + MATCH (target:`PETER CRATCHIT`) MERGE (source)-[r:DIRECTED]->(target) SET r += $properties RETURN r :result:None -2024-10-29 13:36:44,338 - lightrag - INFO - _check_edge_existence:query:MATCH (a:`BARRELS OF OYSTERS`)-[r]-(b:`GHOST OF CHRISTMAS PRESENT`) RETURN COUNT(r) > 0 AS edgeExists:result:False -2024-10-29 13:36:44,514 - lightrag - INFO - _check_node_exists:query:MATCH (n:`BARRELS OF OYSTERS`) RETURN count(n) > 0 AS node_exists:result:True -2024-10-29 13:36:44,683 - lightrag - INFO - _check_node_exists:query:MATCH (n:`GHOST OF CHRISTMAS PRESENT`) RETURN count(n) > 0 AS node_exists:result:True -2024-10-29 13:36:44,865 - lightrag - INFO - _do_upsert_edge:query: - MATCH (source:`BARRELS OF OYSTERS`) +2024-10-30 05:12:37,727 - lightrag - INFO - _check_edge_existence:query:MATCH (a:`MARTHA CRATCHIT`)-[r]-(b:`THE COUNTESS`) RETURN COUNT(r) > 0 AS edgeExists:result:False +2024-10-30 05:12:37,928 - lightrag - INFO - _check_node_exists:query:MATCH (n:`MARTHA CRATCHIT`) RETURN count(n) > 0 AS node_exists:result:True +2024-10-30 05:12:38,099 - lightrag - INFO - _check_node_exists:query:MATCH (n:`THE COUNTESS`) RETURN count(n) > 0 AS node_exists:result:True +2024-10-30 05:12:38,288 - lightrag - INFO - _do_upsert_edge:query: + MATCH (source:`MARTHA CRATCHIT`) WITH source - MATCH (target:`GHOST OF CHRISTMAS PRESENT`) + MATCH (target:`THE COUNTESS`) MERGE (source)-[r:DIRECTED]->(target) SET r += $properties RETURN r :result:None -2024-10-29 13:36:45,050 - lightrag - INFO - _check_edge_existence:query:MATCH (a:`GHOST OF CHRISTMAS PRESENT`)-[r]-(b:`RED-HOT CHESTNUTS`) RETURN COUNT(r) > 0 AS edgeExists:result:False -2024-10-29 13:36:45,218 - lightrag - INFO - _check_node_exists:query:MATCH (n:`GHOST OF CHRISTMAS PRESENT`) RETURN count(n) > 0 AS node_exists:result:True -2024-10-29 13:36:45,393 - lightrag - INFO - _check_node_exists:query:MATCH (n:`RED-HOT CHESTNUTS`) RETURN count(n) > 0 AS node_exists:result:True -2024-10-29 13:36:45,572 - lightrag - INFO - _do_upsert_edge:query: - MATCH (source:`GHOST OF CHRISTMAS PRESENT`) +2024-10-30 05:12:38,473 - lightrag - INFO - _check_edge_existence:query:MATCH (a:`THE CRATCHIT FAMILY`)-[r]-(b:`TINY TIM`) RETURN COUNT(r) > 0 AS edgeExists:result:False +2024-10-30 05:12:38,642 - lightrag - INFO - _check_node_exists:query:MATCH (n:`THE CRATCHIT FAMILY`) RETURN count(n) > 0 AS node_exists:result:True +2024-10-30 05:12:38,812 - lightrag - INFO - _check_node_exists:query:MATCH (n:`TINY TIM`) RETURN count(n) > 0 AS node_exists:result:True +2024-10-30 05:12:39,005 - lightrag - INFO - _do_upsert_edge:query: + MATCH (source:`THE CRATCHIT FAMILY`) WITH source - MATCH (target:`RED-HOT CHESTNUTS`) + MATCH (target:`TINY TIM`) MERGE (source)-[r:DIRECTED]->(target) SET r += $properties RETURN r :result:None -2024-10-29 13:36:45,754 - lightrag - INFO - _check_edge_existence:query:MATCH (a:`CHERRY-CHEEKED APPLES`)-[r]-(b:`GHOST OF CHRISTMAS PRESENT`) RETURN COUNT(r) > 0 AS edgeExists:result:False -2024-10-29 13:36:45,929 - lightrag - INFO - _check_node_exists:query:MATCH (n:`CHERRY-CHEEKED APPLES`) RETURN count(n) > 0 AS node_exists:result:True -2024-10-29 13:36:46,096 - lightrag - INFO - _check_node_exists:query:MATCH (n:`GHOST OF CHRISTMAS PRESENT`) RETURN count(n) > 0 AS node_exists:result:True -2024-10-29 13:36:46,288 - lightrag - INFO - _do_upsert_edge:query: - MATCH (source:`CHERRY-CHEEKED APPLES`) +2024-10-30 05:12:39,201 - lightrag - INFO - _check_edge_existence:query:MATCH (a:`BOB CRATCHIT`)-[r]-(b:`THE GATHERING`) RETURN COUNT(r) > 0 AS edgeExists:result:False +2024-10-30 05:12:39,372 - lightrag - INFO - _check_node_exists:query:MATCH (n:`BOB CRATCHIT`) RETURN count(n) > 0 AS node_exists:result:True +2024-10-30 05:12:39,542 - lightrag - INFO - _check_node_exists:query:MATCH (n:`THE GATHERING`) RETURN count(n) > 0 AS node_exists:result:True +2024-10-30 05:12:39,725 - lightrag - INFO - _do_upsert_edge:query: + MATCH (source:`BOB CRATCHIT`) WITH source - MATCH (target:`GHOST OF CHRISTMAS PRESENT`) + MATCH (target:`THE GATHERING`) MERGE (source)-[r:DIRECTED]->(target) SET r += $properties RETURN r :result:None -2024-10-29 13:36:46,469 - lightrag - INFO - _check_edge_existence:query:MATCH (a:`GHOST OF CHRISTMAS PRESENT`)-[r]-(b:`JUICY ORANGES`) RETURN COUNT(r) > 0 AS edgeExists:result:False -2024-10-29 13:36:46,628 - lightrag - INFO - _check_node_exists:query:MATCH (n:`GHOST OF CHRISTMAS PRESENT`) RETURN count(n) > 0 AS node_exists:result:True -2024-10-29 13:36:46,796 - lightrag - INFO - _check_node_exists:query:MATCH (n:`JUICY ORANGES`) RETURN count(n) > 0 AS node_exists:result:True -2024-10-29 13:36:46,982 - lightrag - INFO - _do_upsert_edge:query: - MATCH (source:`GHOST OF CHRISTMAS PRESENT`) +2024-10-30 05:12:39,906 - lightrag - INFO - _check_edge_existence:query:MATCH (a:`THE GATHERING`)-[r]-(b:`THE SPIRIT`) RETURN COUNT(r) > 0 AS edgeExists:result:False +2024-10-30 05:12:40,080 - lightrag - INFO - _check_node_exists:query:MATCH (n:`THE GATHERING`) RETURN count(n) > 0 AS node_exists:result:True +2024-10-30 05:12:40,249 - lightrag - INFO - _check_node_exists:query:MATCH (n:`THE SPIRIT`) RETURN count(n) > 0 AS node_exists:result:True +2024-10-30 05:12:40,427 - lightrag - INFO - _do_upsert_edge:query: + MATCH (source:`THE GATHERING`) WITH source - MATCH (target:`JUICY ORANGES`) + MATCH (target:`THE SPIRIT`) MERGE (source)-[r:DIRECTED]->(target) SET r += $properties RETURN r :result:None -2024-10-29 13:36:47,164 - lightrag - INFO - _check_edge_existence:query:MATCH (a:`GHOST OF CHRISTMAS PRESENT`)-[r]-(b:`LUSCIOUS PEARS`) RETURN COUNT(r) > 0 AS edgeExists:result:False -2024-10-29 13:36:47,329 - lightrag - INFO - _check_node_exists:query:MATCH (n:`GHOST OF CHRISTMAS PRESENT`) RETURN count(n) > 0 AS node_exists:result:True -2024-10-29 13:36:47,502 - lightrag - INFO - _check_node_exists:query:MATCH (n:`LUSCIOUS PEARS`) RETURN count(n) > 0 AS node_exists:result:True -2024-10-29 13:36:47,688 - lightrag - INFO - _do_upsert_edge:query: - MATCH (source:`GHOST OF CHRISTMAS PRESENT`) +2024-10-30 05:12:40,613 - lightrag - INFO - _check_edge_existence:query:MATCH (a:`CHRISTMAS`)-[r]-(b:`THE LIGHTHOUSE`) RETURN COUNT(r) > 0 AS edgeExists:result:False +2024-10-30 05:12:40,780 - lightrag - INFO - _check_node_exists:query:MATCH (n:`CHRISTMAS`) RETURN count(n) > 0 AS node_exists:result:True +2024-10-30 05:12:40,949 - lightrag - INFO - _check_node_exists:query:MATCH (n:`THE LIGHTHOUSE`) RETURN count(n) > 0 AS node_exists:result:True +2024-10-30 05:12:41,129 - lightrag - INFO - _do_upsert_edge:query: + MATCH (source:`CHRISTMAS`) WITH source - MATCH (target:`LUSCIOUS PEARS`) + MATCH (target:`THE LIGHTHOUSE`) MERGE (source)-[r:DIRECTED]->(target) SET r += $properties RETURN r :result:None -2024-10-29 13:36:47,872 - lightrag - INFO - _check_edge_existence:query:MATCH (a:`GHOST OF CHRISTMAS PRESENT`)-[r]-(b:`IMMENSE TWELFTH-CAKES`) RETURN COUNT(r) > 0 AS edgeExists:result:False -2024-10-29 13:36:48,039 - lightrag - INFO - _check_node_exists:query:MATCH (n:`GHOST OF CHRISTMAS PRESENT`) RETURN count(n) > 0 AS node_exists:result:True -2024-10-29 13:36:48,214 - lightrag - INFO - _check_node_exists:query:MATCH (n:`IMMENSE TWELFTH-CAKES`) RETURN count(n) > 0 AS node_exists:result:True -2024-10-29 13:36:48,409 - lightrag - INFO - _do_upsert_edge:query: - MATCH (source:`GHOST OF CHRISTMAS PRESENT`) +2024-10-30 05:12:41,308 - lightrag - INFO - _check_edge_existence:query:MATCH (a:`CHRISTMAS`)-[r]-(b:`THE SHIP`) RETURN COUNT(r) > 0 AS edgeExists:result:False +2024-10-30 05:12:41,470 - lightrag - INFO - _check_node_exists:query:MATCH (n:`CHRISTMAS`) RETURN count(n) > 0 AS node_exists:result:True +2024-10-30 05:12:41,641 - lightrag - INFO - _check_node_exists:query:MATCH (n:`THE SHIP`) RETURN count(n) > 0 AS node_exists:result:True +2024-10-30 05:12:41,826 - lightrag - INFO - _do_upsert_edge:query: + MATCH (source:`CHRISTMAS`) WITH source - MATCH (target:`IMMENSE TWELFTH-CAKES`) + MATCH (target:`THE SHIP`) MERGE (source)-[r:DIRECTED]->(target) SET r += $properties RETURN r :result:None -2024-10-29 13:36:48,590 - lightrag - INFO - _check_edge_existence:query:MATCH (a:`GHOST OF CHRISTMAS PRESENT`)-[r]-(b:`SEETHING BOWLS OF PUNCH`) RETURN COUNT(r) > 0 AS edgeExists:result:False -2024-10-29 13:36:48,751 - lightrag - INFO - _check_node_exists:query:MATCH (n:`GHOST OF CHRISTMAS PRESENT`) RETURN count(n) > 0 AS node_exists:result:True -2024-10-29 13:36:48,923 - lightrag - INFO - _check_node_exists:query:MATCH (n:`SEETHING BOWLS OF PUNCH`) RETURN count(n) > 0 AS node_exists:result:True -2024-10-29 13:36:49,112 - lightrag - INFO - _do_upsert_edge:query: - MATCH (source:`GHOST OF CHRISTMAS PRESENT`) +2024-10-30 05:12:42,014 - lightrag - INFO - _check_edge_existence:query:MATCH (a:`SCROOGE`)-[r]-(b:`THE LAMPLIGHTER`) RETURN COUNT(r) > 0 AS edgeExists:result:False +2024-10-30 05:12:42,167 - lightrag - INFO - _check_node_exists:query:MATCH (n:`SCROOGE`) RETURN count(n) > 0 AS node_exists:result:True +2024-10-30 05:12:42,343 - lightrag - INFO - _check_node_exists:query:MATCH (n:`THE LAMPLIGHTER`) RETURN count(n) > 0 AS node_exists:result:True +2024-10-30 05:12:42,526 - lightrag - INFO - _do_upsert_edge:query: + MATCH (source:`SCROOGE`) WITH source - MATCH (target:`SEETHING BOWLS OF PUNCH`) + MATCH (target:`THE LAMPLIGHTER`) MERGE (source)-[r:DIRECTED]->(target) SET r += $properties RETURN r :result:None -2024-10-29 13:36:49,298 - lightrag - INFO - _check_edge_existence:query:MATCH (a:`GHOST OF CHRISTMAS PRESENT`)-[r]-(b:`SPIRIT`) RETURN COUNT(r) > 0 AS edgeExists:result:False -2024-10-29 13:36:49,461 - lightrag - INFO - _check_node_exists:query:MATCH (n:`GHOST OF CHRISTMAS PRESENT`) RETURN count(n) > 0 AS node_exists:result:True -2024-10-29 13:36:49,634 - lightrag - INFO - _check_node_exists:query:MATCH (n:`SPIRIT`) RETURN count(n) > 0 AS node_exists:result:True -2024-10-29 13:36:49,815 - lightrag - INFO - _do_upsert_edge:query: - MATCH (source:`GHOST OF CHRISTMAS PRESENT`) +2024-10-30 05:12:42,707 - lightrag - INFO - _check_edge_existence:query:MATCH (a:`THE HUT`)-[r]-(b:`THE OLD MAN`) RETURN COUNT(r) > 0 AS edgeExists:result:False +2024-10-30 05:12:42,880 - lightrag - INFO - _check_node_exists:query:MATCH (n:`THE HUT`) RETURN count(n) > 0 AS node_exists:result:True +2024-10-30 05:12:43,057 - lightrag - INFO - _check_node_exists:query:MATCH (n:`THE OLD MAN`) RETURN count(n) > 0 AS node_exists:result:True +2024-10-30 05:12:43,245 - lightrag - INFO - _do_upsert_edge:query: + MATCH (source:`THE HUT`) WITH source - MATCH (target:`SPIRIT`) + MATCH (target:`THE OLD MAN`) MERGE (source)-[r:DIRECTED]->(target) SET r += $properties RETURN r :result:None -2024-10-29 13:36:49,997 - lightrag - INFO - _check_edge_existence:query:MATCH (a:`CHRISTMAS`)-[r]-(b:`GREAT BRITAIN`) RETURN COUNT(r) > 0 AS edgeExists:result:False -2024-10-29 13:36:50,167 - lightrag - INFO - _check_node_exists:query:MATCH (n:`CHRISTMAS`) RETURN count(n) > 0 AS node_exists:result:True -2024-10-29 13:36:50,343 - lightrag - INFO - _check_node_exists:query:MATCH (n:`GREAT BRITAIN`) RETURN count(n) > 0 AS node_exists:result:True -2024-10-29 13:36:50,533 - lightrag - INFO - _do_upsert_edge:query: - MATCH (source:`CHRISTMAS`) +2024-10-30 05:12:43,422 - lightrag - INFO - _check_edge_existence:query:MATCH (a:`THE HUT`)-[r]-(b:`THE MINERS`) RETURN COUNT(r) > 0 AS edgeExists:result:False +2024-10-30 05:12:43,589 - lightrag - INFO - _check_node_exists:query:MATCH (n:`THE HUT`) RETURN count(n) > 0 AS node_exists:result:True +2024-10-30 05:12:43,762 - lightrag - INFO - _check_node_exists:query:MATCH (n:`THE MINERS`) RETURN count(n) > 0 AS node_exists:result:True +2024-10-30 05:12:43,951 - lightrag - INFO - _do_upsert_edge:query: + MATCH (source:`THE HUT`) WITH source - MATCH (target:`GREAT BRITAIN`) + MATCH (target:`THE MINERS`) MERGE (source)-[r:DIRECTED]->(target) SET r += $properties RETURN r :result:None -2024-10-29 13:36:50,714 - lightrag - INFO - _check_edge_existence:query:MATCH (a:`CHRISTMAS`)-[r]-(b:`THE GROCERS`) RETURN COUNT(r) > 0 AS edgeExists:result:False -2024-10-29 13:36:50,881 - lightrag - INFO - _check_node_exists:query:MATCH (n:`CHRISTMAS`) RETURN count(n) > 0 AS node_exists:result:True -2024-10-29 13:36:51,057 - lightrag - INFO - _check_node_exists:query:MATCH (n:`THE GROCERS`) RETURN count(n) > 0 AS node_exists:result:True -2024-10-29 13:36:51,236 - lightrag - INFO - _do_upsert_edge:query: - MATCH (source:`CHRISTMAS`) +2024-10-30 05:12:44,135 - lightrag - INFO - _check_edge_existence:query:MATCH (a:`THE OFFICERS`)-[r]-(b:`THE SHIP`) RETURN COUNT(r) > 0 AS edgeExists:result:False +2024-10-30 05:12:44,300 - lightrag - INFO - _check_node_exists:query:MATCH (n:`THE OFFICERS`) RETURN count(n) > 0 AS node_exists:result:True +2024-10-30 05:12:44,478 - lightrag - INFO - _check_node_exists:query:MATCH (n:`THE SHIP`) RETURN count(n) > 0 AS node_exists:result:True +2024-10-30 05:12:44,661 - lightrag - INFO - _do_upsert_edge:query: + MATCH (source:`THE OFFICERS`) WITH source - MATCH (target:`THE GROCERS`) + MATCH (target:`THE SHIP`) MERGE (source)-[r:DIRECTED]->(target) SET r += $properties RETURN r :result:None -2024-10-29 13:36:51,421 - lightrag - INFO - _check_edge_existence:query:MATCH (a:`CHRISTMAS`)-[r]-(b:`HOLLY`) RETURN COUNT(r) > 0 AS edgeExists:result:False -2024-10-29 13:36:51,583 - lightrag - INFO - _check_node_exists:query:MATCH (n:`CHRISTMAS`) RETURN count(n) > 0 AS node_exists:result:True -2024-10-29 13:36:51,759 - lightrag - INFO - _check_node_exists:query:MATCH (n:`HOLLY`) RETURN count(n) > 0 AS node_exists:result:True -2024-10-29 13:36:51,944 - lightrag - INFO - _do_upsert_edge:query: - MATCH (source:`CHRISTMAS`) +2024-10-30 05:12:44,841 - lightrag - INFO - _check_edge_existence:query:MATCH (a:`THE LIGHTHOUSE`)-[r]-(b:`THE WAVE`) RETURN COUNT(r) > 0 AS edgeExists:result:False +2024-10-30 05:12:45,016 - lightrag - INFO - _check_node_exists:query:MATCH (n:`THE LIGHTHOUSE`) RETURN count(n) > 0 AS node_exists:result:True +2024-10-30 05:12:45,191 - lightrag - INFO - _check_node_exists:query:MATCH (n:`THE WAVE`) RETURN count(n) > 0 AS node_exists:result:True +2024-10-30 05:12:45,371 - lightrag - INFO - _do_upsert_edge:query: + MATCH (source:`THE LIGHTHOUSE`) WITH source - MATCH (target:`HOLLY`) + MATCH (target:`THE WAVE`) MERGE (source)-[r:DIRECTED]->(target) SET r += $properties RETURN r :result:None -2024-10-29 13:36:52,130 - lightrag - INFO - _check_edge_existence:query:MATCH (a:`CHRISTMAS`)-[r]-(b:`MISTLETOE`) RETURN COUNT(r) > 0 AS edgeExists:result:False -2024-10-29 13:36:52,298 - lightrag - INFO - _check_node_exists:query:MATCH (n:`CHRISTMAS`) RETURN count(n) > 0 AS node_exists:result:True -2024-10-29 13:36:52,476 - lightrag - INFO - _check_node_exists:query:MATCH (n:`MISTLETOE`) RETURN count(n) > 0 AS node_exists:result:True -2024-10-29 13:36:52,661 - lightrag - INFO - _do_upsert_edge:query: - MATCH (source:`CHRISTMAS`) +2024-10-30 05:12:45,556 - lightrag - INFO - _check_edge_existence:query:MATCH (a:`STORM-BIRDS`)-[r]-(b:`THE LIGHTHOUSE`) RETURN COUNT(r) > 0 AS edgeExists:result:False +2024-10-30 05:12:45,730 - lightrag - INFO - _check_node_exists:query:MATCH (n:`STORM-BIRDS`) RETURN count(n) > 0 AS node_exists:result:True +2024-10-30 05:12:45,903 - lightrag - INFO - _check_node_exists:query:MATCH (n:`THE LIGHTHOUSE`) RETURN count(n) > 0 AS node_exists:result:True +2024-10-30 05:12:46,088 - lightrag - INFO - _do_upsert_edge:query: + MATCH (source:`STORM-BIRDS`) WITH source - MATCH (target:`MISTLETOE`) + MATCH (target:`THE LIGHTHOUSE`) MERGE (source)-[r:DIRECTED]->(target) SET r += $properties RETURN r :result:None -2024-10-29 13:36:52,842 - lightrag - INFO - _check_edge_existence:query:MATCH (a:`CHRISTMAS`)-[r]-(b:`TURKEYS`) RETURN COUNT(r) > 0 AS edgeExists:result:False -2024-10-29 13:36:53,006 - lightrag - INFO - _check_node_exists:query:MATCH (n:`CHRISTMAS`) RETURN count(n) > 0 AS node_exists:result:True -2024-10-29 13:36:53,183 - lightrag - INFO - _check_node_exists:query:MATCH (n:`TURKEYS`) RETURN count(n) > 0 AS node_exists:result:True -2024-10-29 13:36:53,371 - lightrag - INFO - _do_upsert_edge:query: - MATCH (source:`CHRISTMAS`) - WITH source - MATCH (target:`TURKEYS`) - MERGE (source)-[r:DIRECTED]->(target) - SET r += $properties +2024-10-30 05:12:46,268 - lightrag - INFO - _check_edge_existence:query:MATCH (a:`SCROOGE`)-[r]-(b:`SCROOGE'S NIECE`) RETURN COUNT(r) > 0 AS edgeExists:result:True +2024-10-30 05:12:46,402 - lightrag - INFO - get_edge:query: + MATCH (source:`SCROOGE`)-[r]-(target:`SCROOGE'S NIECE`) RETURN r - :result:None -2024-10-29 13:36:53,555 - lightrag - INFO - _check_edge_existence:query:MATCH (a:`CHRISTMAS`)-[r]-(b:`GEESE`) RETURN COUNT(r) > 0 AS edgeExists:result:False -2024-10-29 13:36:53,714 - lightrag - INFO - _check_node_exists:query:MATCH (n:`CHRISTMAS`) RETURN count(n) > 0 AS node_exists:result:True -2024-10-29 13:36:53,888 - lightrag - INFO - _check_node_exists:query:MATCH (n:`GEESE`) RETURN count(n) > 0 AS node_exists:result:True -2024-10-29 13:36:54,075 - lightrag - INFO - _do_upsert_edge:query: - MATCH (source:`CHRISTMAS`) + :result:, ) type='DIRECTED' properties={'keywords': '"family bonds, celebration""ideological conflict, family dynamics"', 'description': '"Scrooge\'s Niece expresses indignation towards Scrooge\'s belief that Christmas is a humbug, demonstrating her strong opinions against his views.""Scrooge\'s niece embraces the joyful atmosphere of the celebration, engaging with family and inviting good-natured fun."', 'weight': 15.0, 'source_id': 'chunk-773d0df1dd25c356f7b771d780583e09chunk-43c9bee23adfa77aa9dedd22401bba7d'}> +2024-10-30 05:12:46,541 - lightrag - INFO - _check_edge_existence:query:MATCH (a:`SCROOGE'S NEPHEW`)-[r]-(b:`SCROOGE'S NIECE`) RETURN COUNT(r) > 0 AS edgeExists:result:True +2024-10-30 05:12:46,676 - lightrag - INFO - get_edge:query: + MATCH (source:`SCROOGE'S NEPHEW`)-[r]-(target:`SCROOGE'S NIECE`) + RETURN r + :result:, ) type='DIRECTED' properties={'keywords': '"family interaction, playful rivalry""shared humor, family bonding"', 'description': '"Scrooge\'s Nephew and Scrooge\'s Niece share a humorous dynamic, both laughing and contrasting with Scrooge\'s grim outlook.""Scrooge\'s nephew and niece engage in playful banter and competition during the games, enhancing their familial bond."', 'weight': 15.0, 'source_id': 'chunk-773d0df1dd25c356f7b771d780583e09chunk-43c9bee23adfa77aa9dedd22401bba7d'}> +2024-10-30 05:12:46,815 - lightrag - INFO - _check_edge_existence:query:MATCH (a:`SCROOGE'S NIECE`)-[r]-(b:`TOPPER`) RETURN COUNT(r) > 0 AS edgeExists:result:True +2024-10-30 05:12:46,947 - lightrag - INFO - get_edge:query: + MATCH (source:`SCROOGE'S NIECE`)-[r]-(target:`TOPPER`) + RETURN r + :result:, ) type='DIRECTED' properties={'keywords': '"romantic interest, social dynamics"', 'description': '"Topper shows interest in Scrooge\'s Niece, indicating a budding romantic interest during the family gathering."', 'weight': 6.0, 'source_id': 'chunk-773d0df1dd25c356f7b771d780583e09'}> +2024-10-30 05:12:47,087 - lightrag - INFO - _check_edge_existence:query:MATCH (a:`SCROOGE'S NIECE`)-[r]-(b:`SCROOGE'S NIECE'S SISTERS`) RETURN COUNT(r) > 0 AS edgeExists:result:False +2024-10-30 05:12:47,260 - lightrag - INFO - _check_node_exists:query:MATCH (n:`SCROOGE'S NIECE`) RETURN count(n) > 0 AS node_exists:result:True +2024-10-30 05:12:47,427 - lightrag - INFO - _check_node_exists:query:MATCH (n:`SCROOGE'S NIECE'S SISTERS`) RETURN count(n) > 0 AS node_exists:result:True +2024-10-30 05:12:47,604 - lightrag - INFO - _do_upsert_edge:query: + MATCH (source:`SCROOGE'S NIECE`) WITH source - MATCH (target:`GEESE`) + MATCH (target:`SCROOGE'S NIECE'S SISTERS`) MERGE (source)-[r:DIRECTED]->(target) SET r += $properties RETURN r :result:None -2024-10-29 13:36:54,260 - lightrag - INFO - _check_edge_existence:query:MATCH (a:`HOLLY`)-[r]-(b:`THE GROCERS`) RETURN COUNT(r) > 0 AS edgeExists:result:False -2024-10-29 13:36:54,429 - lightrag - INFO - _check_node_exists:query:MATCH (n:`HOLLY`) RETURN count(n) > 0 AS node_exists:result:True -2024-10-29 13:36:54,605 - lightrag - INFO - _check_node_exists:query:MATCH (n:`THE GROCERS`) RETURN count(n) > 0 AS node_exists:result:True -2024-10-29 13:36:54,790 - lightrag - INFO - _do_upsert_edge:query: - MATCH (source:`HOLLY`) +2024-10-30 05:12:47,784 - lightrag - INFO - _check_edge_existence:query:MATCH (a:`DINNER`)-[r]-(b:`SCROOGE'S NEPHEW`) RETURN COUNT(r) > 0 AS edgeExists:result:False +2024-10-30 05:12:47,956 - lightrag - INFO - _check_node_exists:query:MATCH (n:`DINNER`) RETURN count(n) > 0 AS node_exists:result:True +2024-10-30 05:12:48,131 - lightrag - INFO - _check_node_exists:query:MATCH (n:`SCROOGE'S NEPHEW`) RETURN count(n) > 0 AS node_exists:result:True +2024-10-30 05:12:48,313 - lightrag - INFO - _do_upsert_edge:query: + MATCH (source:`DINNER`) WITH source - MATCH (target:`THE GROCERS`) + MATCH (target:`SCROOGE'S NEPHEW`) MERGE (source)-[r:DIRECTED]->(target) SET r += $properties RETURN r :result:None -2024-10-29 13:36:54,973 - lightrag - INFO - _check_edge_existence:query:MATCH (a:`MISTLETOE`)-[r]-(b:`THE GROCERS`) RETURN COUNT(r) > 0 AS edgeExists:result:False -2024-10-29 13:36:55,134 - lightrag - INFO - _check_node_exists:query:MATCH (n:`MISTLETOE`) RETURN count(n) > 0 AS node_exists:result:True -2024-10-29 13:36:55,303 - lightrag - INFO - _check_node_exists:query:MATCH (n:`THE GROCERS`) RETURN count(n) > 0 AS node_exists:result:True -2024-10-29 13:36:55,492 - lightrag - INFO - _do_upsert_edge:query: - MATCH (source:`MISTLETOE`) +2024-10-30 05:12:48,501 - lightrag - INFO - _check_edge_existence:query:MATCH (a:`SCROOGE'S NEPHEW`)-[r]-(b:`TOPPER`) RETURN COUNT(r) > 0 AS edgeExists:result:False +2024-10-30 05:12:48,675 - lightrag - INFO - _check_node_exists:query:MATCH (n:`SCROOGE'S NEPHEW`) RETURN count(n) > 0 AS node_exists:result:True +2024-10-30 05:12:48,843 - lightrag - INFO - _check_node_exists:query:MATCH (n:`TOPPER`) RETURN count(n) > 0 AS node_exists:result:True +2024-10-30 05:12:49,031 - lightrag - INFO - _do_upsert_edge:query: + MATCH (source:`SCROOGE'S NEPHEW`) WITH source - MATCH (target:`THE GROCERS`) + MATCH (target:`TOPPER`) MERGE (source)-[r:DIRECTED]->(target) SET r += $properties RETURN r :result:None -2024-10-29 13:36:55,669 - lightrag - INFO - _check_edge_existence:query:MATCH (a:`THE GROCERS`)-[r]-(b:`TURKEYS`) RETURN COUNT(r) > 0 AS edgeExists:result:False -2024-10-29 13:36:55,831 - lightrag - INFO - _check_node_exists:query:MATCH (n:`THE GROCERS`) RETURN count(n) > 0 AS node_exists:result:True -2024-10-29 13:36:56,006 - lightrag - INFO - _check_node_exists:query:MATCH (n:`TURKEYS`) RETURN count(n) > 0 AS node_exists:result:True -2024-10-29 13:36:56,186 - lightrag - INFO - _do_upsert_edge:query: - MATCH (source:`THE GROCERS`) - WITH source - MATCH (target:`TURKEYS`) - MERGE (source)-[r:DIRECTED]->(target) - SET r += $properties +2024-10-30 05:12:49,218 - lightrag - INFO - _check_edge_existence:query:MATCH (a:`SCROOGE`)-[r]-(b:`TOPPER`) RETURN COUNT(r) > 0 AS edgeExists:result:True +2024-10-30 05:12:49,354 - lightrag - INFO - get_edge:query: + MATCH (source:`SCROOGE`)-[r]-(target:`TOPPER`) RETURN r - :result:None -2024-10-29 13:36:56,369 - lightrag - INFO - _check_edge_existence:query:MATCH (a:`GEESE`)-[r]-(b:`THE GROCERS`) RETURN COUNT(r) > 0 AS edgeExists:result:False -2024-10-29 13:36:56,544 - lightrag - INFO - _check_node_exists:query:MATCH (n:`GEESE`) RETURN count(n) > 0 AS node_exists:result:True -2024-10-29 13:36:56,706 - lightrag - INFO - _check_node_exists:query:MATCH (n:`THE GROCERS`) RETURN count(n) > 0 AS node_exists:result:True -2024-10-29 13:36:56,894 - lightrag - INFO - _do_upsert_edge:query: - MATCH (source:`GEESE`) + :result:, ) type='DIRECTED' properties={'keywords': '"observation, merriment"', 'description': '"Scrooge observes Topper\'s antics and expressions of joy during the games, revealing a reflection on human nature and merriment."', 'weight': 6.0, 'source_id': 'chunk-43c9bee23adfa77aa9dedd22401bba7d'}> +2024-10-30 05:12:49,496 - lightrag - INFO - _check_edge_existence:query:MATCH (a:`CHRISTMAS HOLIDAYS`)-[r]-(b:`SCROOGE`) RETURN COUNT(r) > 0 AS edgeExists:result:False +2024-10-30 05:12:49,660 - lightrag - INFO - _check_node_exists:query:MATCH (n:`CHRISTMAS HOLIDAYS`) RETURN count(n) > 0 AS node_exists:result:True +2024-10-30 05:12:49,818 - lightrag - INFO - _check_node_exists:query:MATCH (n:`SCROOGE`) RETURN count(n) > 0 AS node_exists:result:True +2024-10-30 05:12:50,007 - lightrag - INFO - _do_upsert_edge:query: + MATCH (source:`CHRISTMAS HOLIDAYS`) WITH source - MATCH (target:`THE GROCERS`) + MATCH (target:`SCROOGE`) MERGE (source)-[r:DIRECTED]->(target) SET r += $properties RETURN r :result:None -2024-10-29 13:36:57,077 - lightrag - INFO - _check_edge_existence:query:MATCH (a:`APPLES`)-[r]-(b:`CHRISTMAS`) RETURN COUNT(r) > 0 AS edgeExists:result:False -2024-10-29 13:36:57,248 - lightrag - INFO - _check_node_exists:query:MATCH (n:`APPLES`) RETURN count(n) > 0 AS node_exists:result:True -2024-10-29 13:36:57,413 - lightrag - INFO - _check_node_exists:query:MATCH (n:`CHRISTMAS`) RETURN count(n) > 0 AS node_exists:result:True -2024-10-29 13:36:57,597 - lightrag - INFO - _do_upsert_edge:query: - MATCH (source:`APPLES`) +2024-10-30 05:12:50,193 - lightrag - INFO - _check_edge_existence:query:MATCH (a:`IGNORANCE`)-[r]-(b:`SPIRIT`) RETURN COUNT(r) > 0 AS edgeExists:result:False +2024-10-30 05:12:50,362 - lightrag - INFO - _check_node_exists:query:MATCH (n:`IGNORANCE`) RETURN count(n) > 0 AS node_exists:result:True +2024-10-30 05:12:50,542 - lightrag - INFO - _check_node_exists:query:MATCH (n:`SPIRIT`) RETURN count(n) > 0 AS node_exists:result:True +2024-10-30 05:12:50,724 - lightrag - INFO - _do_upsert_edge:query: + MATCH (source:`IGNORANCE`) WITH source - MATCH (target:`CHRISTMAS`) + MATCH (target:`SPIRIT`) MERGE (source)-[r:DIRECTED]->(target) SET r += $properties RETURN r :result:None -2024-10-29 13:36:57,784 - lightrag - INFO - _check_edge_existence:query:MATCH (a:`CHRISTMAS`)-[r]-(b:`PEARS`) RETURN COUNT(r) > 0 AS edgeExists:result:False -2024-10-29 13:36:57,950 - lightrag - INFO - _check_node_exists:query:MATCH (n:`CHRISTMAS`) RETURN count(n) > 0 AS node_exists:result:True -2024-10-29 13:36:58,120 - lightrag - INFO - _check_node_exists:query:MATCH (n:`PEARS`) RETURN count(n) > 0 AS node_exists:result:True -2024-10-29 13:36:58,305 - lightrag - INFO - _do_upsert_edge:query: - MATCH (source:`CHRISTMAS`) +2024-10-30 05:12:50,903 - lightrag - INFO - _check_edge_existence:query:MATCH (a:`SPIRIT`)-[r]-(b:`WANT`) RETURN COUNT(r) > 0 AS edgeExists:result:False +2024-10-30 05:12:51,072 - lightrag - INFO - _check_node_exists:query:MATCH (n:`SPIRIT`) RETURN count(n) > 0 AS node_exists:result:True +2024-10-30 05:12:51,250 - lightrag - INFO - _check_node_exists:query:MATCH (n:`WANT`) RETURN count(n) > 0 AS node_exists:result:True +2024-10-30 05:12:51,434 - lightrag - INFO - _do_upsert_edge:query: + MATCH (source:`SPIRIT`) WITH source - MATCH (target:`PEARS`) + MATCH (target:`WANT`) MERGE (source)-[r:DIRECTED]->(target) SET r += $properties RETURN r :result:None -2024-10-29 13:36:58,499 - lightrag - INFO - _check_edge_existence:query:MATCH (a:`APPLES`)-[r]-(b:`THE GROCERS`) RETURN COUNT(r) > 0 AS edgeExists:result:False -2024-10-29 13:36:58,672 - lightrag - INFO - _check_node_exists:query:MATCH (n:`APPLES`) RETURN count(n) > 0 AS node_exists:result:True -2024-10-29 13:36:58,833 - lightrag - INFO - _check_node_exists:query:MATCH (n:`THE GROCERS`) RETURN count(n) > 0 AS node_exists:result:True -2024-10-29 13:36:59,017 - lightrag - INFO - _do_upsert_edge:query: - MATCH (source:`APPLES`) +2024-10-30 05:12:51,615 - lightrag - INFO - _check_edge_existence:query:MATCH (a:`CITY`)-[r]-(b:`SPIRIT`) RETURN COUNT(r) > 0 AS edgeExists:result:False +2024-10-30 05:12:51,788 - lightrag - INFO - _check_node_exists:query:MATCH (n:`CITY`) RETURN count(n) > 0 AS node_exists:result:True +2024-10-30 05:12:51,949 - lightrag - INFO - _check_node_exists:query:MATCH (n:`SPIRIT`) RETURN count(n) > 0 AS node_exists:result:True +2024-10-30 05:12:52,130 - lightrag - INFO - _do_upsert_edge:query: + MATCH (source:`CITY`) WITH source - MATCH (target:`THE GROCERS`) + MATCH (target:`SPIRIT`) MERGE (source)-[r:DIRECTED]->(target) SET r += $properties RETURN r :result:None -2024-10-29 13:36:59,202 - lightrag - INFO - _check_edge_existence:query:MATCH (a:`PEARS`)-[r]-(b:`THE GROCERS`) RETURN COUNT(r) > 0 AS edgeExists:result:False -2024-10-29 13:36:59,380 - lightrag - INFO - _check_node_exists:query:MATCH (n:`PEARS`) RETURN count(n) > 0 AS node_exists:result:True -2024-10-29 13:36:59,545 - lightrag - INFO - _check_node_exists:query:MATCH (n:`THE GROCERS`) RETURN count(n) > 0 AS node_exists:result:True -2024-10-29 13:36:59,734 - lightrag - INFO - _do_upsert_edge:query: - MATCH (source:`PEARS`) - WITH source - MATCH (target:`THE GROCERS`) - MERGE (source)-[r:DIRECTED]->(target) - SET r += $properties +2024-10-30 05:12:52,312 - lightrag - INFO - _check_edge_existence:query:MATCH (a:`JACOB`)-[r]-(b:`SCROOGE`) RETURN COUNT(r) > 0 AS edgeExists:result:True +2024-10-30 05:12:52,443 - lightrag - INFO - get_edge:query: + MATCH (source:`JACOB`)-[r]-(target:`SCROOGE`) RETURN r - :result:None -2024-10-29 13:36:59,924 - lightrag - INFO - _check_edge_existence:query:MATCH (a:`CHESTNUTS`)-[r]-(b:`CHRISTMAS`) RETURN COUNT(r) > 0 AS edgeExists:result:False -2024-10-29 13:37:00,100 - lightrag - INFO - _check_node_exists:query:MATCH (n:`CHESTNUTS`) RETURN count(n) > 0 AS node_exists:result:True -2024-10-29 13:37:00,264 - lightrag - INFO - _check_node_exists:query:MATCH (n:`CHRISTMAS`) RETURN count(n) > 0 AS node_exists:result:True -2024-10-29 13:37:00,452 - lightrag - INFO - _do_upsert_edge:query: - MATCH (source:`CHESTNUTS`) + :result:, ) type='DIRECTED' properties={'keywords': '"reflection, past relationship"', 'description': '"Scrooge reflects on his past relationship with Jacob, influenced by feelings of guilt and loss after Jacob\'s death."', 'weight': 8.0, 'source_id': 'chunk-f1a4fbcf1ed86864b9bfd5e8dba4c683'}> +2024-10-30 05:12:52,585 - lightrag - INFO - _check_edge_existence:query:MATCH (a:`THE LOW-BROWED SHOP`)-[r]-(b:`THE TOWN`) RETURN COUNT(r) > 0 AS edgeExists:result:False +2024-10-30 05:12:52,755 - lightrag - INFO - _check_node_exists:query:MATCH (n:`THE LOW-BROWED SHOP`) RETURN count(n) > 0 AS node_exists:result:True +2024-10-30 05:12:52,924 - lightrag - INFO - _check_node_exists:query:MATCH (n:`THE TOWN`) RETURN count(n) > 0 AS node_exists:result:True +2024-10-30 05:12:53,106 - lightrag - INFO - _do_upsert_edge:query: + MATCH (source:`THE LOW-BROWED SHOP`) WITH source - MATCH (target:`CHRISTMAS`) + MATCH (target:`THE TOWN`) MERGE (source)-[r:DIRECTED]->(target) SET r += $properties RETURN r :result:None -2024-10-29 13:37:00,638 - lightrag - INFO - _check_edge_existence:query:MATCH (a:`CHESTNUTS`)-[r]-(b:`THE GROCERS`) RETURN COUNT(r) > 0 AS edgeExists:result:False -2024-10-29 13:37:00,810 - lightrag - INFO - _check_node_exists:query:MATCH (n:`CHESTNUTS`) RETURN count(n) > 0 AS node_exists:result:True -2024-10-29 13:37:00,974 - lightrag - INFO - _check_node_exists:query:MATCH (n:`THE GROCERS`) RETURN count(n) > 0 AS node_exists:result:True -2024-10-29 13:37:01,162 - lightrag - INFO - _do_upsert_edge:query: - MATCH (source:`CHESTNUTS`) +2024-10-30 05:12:53,286 - lightrag - INFO - _check_edge_existence:query:MATCH (a:`RED-FACED GENTLEMAN`)-[r]-(b:`SCROOGE`) RETURN COUNT(r) > 0 AS edgeExists:result:False +2024-10-30 05:12:53,460 - lightrag - INFO - _check_node_exists:query:MATCH (n:`RED-FACED GENTLEMAN`) RETURN count(n) > 0 AS node_exists:result:True +2024-10-30 05:12:53,619 - lightrag - INFO - _check_node_exists:query:MATCH (n:`SCROOGE`) RETURN count(n) > 0 AS node_exists:result:True +2024-10-30 05:12:53,805 - lightrag - INFO - _do_upsert_edge:query: + MATCH (source:`RED-FACED GENTLEMAN`) WITH source - MATCH (target:`THE GROCERS`) + MATCH (target:`SCROOGE`) MERGE (source)-[r:DIRECTED]->(target) SET r += $properties RETURN r :result:None -2024-10-29 13:37:01,346 - lightrag - INFO - _check_edge_existence:query:MATCH (a:`CHRISTMAS`)-[r]-(b:`SPANISH ONIONS`) RETURN COUNT(r) > 0 AS edgeExists:result:False -2024-10-29 13:37:01,511 - lightrag - INFO - _check_node_exists:query:MATCH (n:`CHRISTMAS`) RETURN count(n) > 0 AS node_exists:result:True -2024-10-29 13:37:01,691 - lightrag - INFO - _check_node_exists:query:MATCH (n:`SPANISH ONIONS`) RETURN count(n) > 0 AS node_exists:result:True -2024-10-29 13:37:01,880 - lightrag - INFO - _do_upsert_edge:query: - MATCH (source:`CHRISTMAS`) +2024-10-30 05:12:53,986 - lightrag - INFO - _check_edge_existence:query:MATCH (a:`GENTLEMAN WITH THE EXCRESCENCE`)-[r]-(b:`RED-FACED GENTLEMAN`) RETURN COUNT(r) > 0 AS edgeExists:result:False +2024-10-30 05:12:54,153 - lightrag - INFO - _check_node_exists:query:MATCH (n:`GENTLEMAN WITH THE EXCRESCENCE`) RETURN count(n) > 0 AS node_exists:result:True +2024-10-30 05:12:54,330 - lightrag - INFO - _check_node_exists:query:MATCH (n:`RED-FACED GENTLEMAN`) RETURN count(n) > 0 AS node_exists:result:True +2024-10-30 05:12:54,516 - lightrag - INFO - _do_upsert_edge:query: + MATCH (source:`GENTLEMAN WITH THE EXCRESCENCE`) WITH source - MATCH (target:`SPANISH ONIONS`) + MATCH (target:`RED-FACED GENTLEMAN`) MERGE (source)-[r:DIRECTED]->(target) SET r += $properties RETURN r :result:None -2024-10-29 13:37:02,064 - lightrag - INFO - _check_edge_existence:query:MATCH (a:`SPANISH ONIONS`)-[r]-(b:`THE GROCERS`) RETURN COUNT(r) > 0 AS edgeExists:result:False -2024-10-29 13:37:02,239 - lightrag - INFO - _check_node_exists:query:MATCH (n:`SPANISH ONIONS`) RETURN count(n) > 0 AS node_exists:result:True -2024-10-29 13:37:02,405 - lightrag - INFO - _check_node_exists:query:MATCH (n:`THE GROCERS`) RETURN count(n) > 0 AS node_exists:result:True -2024-10-29 13:37:02,594 - lightrag - INFO - _do_upsert_edge:query: - MATCH (source:`SPANISH ONIONS`) +2024-10-30 05:12:54,701 - lightrag - INFO - _check_edge_existence:query:MATCH (a:`SCROOGE`)-[r]-(b:`THE PHANTOM`) RETURN COUNT(r) > 0 AS edgeExists:result:True +2024-10-30 05:12:54,835 - lightrag - INFO - get_edge:query: + MATCH (source:`SCROOGE`)-[r]-(target:`THE PHANTOM`) + RETURN r + :result:, ) type='DIRECTED' properties={'keywords': '"guidance, self-reflection"', 'description': '"Scrooge interacts with the Phantom, which guides him through reflections on his life and future, emphasizing his journey of change."', 'weight': 9.0, 'source_id': 'chunk-f1a4fbcf1ed86864b9bfd5e8dba4c683'}> +2024-10-30 05:12:54,975 - lightrag - INFO - _check_edge_existence:query:MATCH (a:`THE PEOPLE`)-[r]-(b:`THE QUARTER`) RETURN COUNT(r) > 0 AS edgeExists:result:False +2024-10-30 05:12:55,148 - lightrag - INFO - _check_node_exists:query:MATCH (n:`THE PEOPLE`) RETURN count(n) > 0 AS node_exists:result:True +2024-10-30 05:12:55,322 - lightrag - INFO - _check_node_exists:query:MATCH (n:`THE QUARTER`) RETURN count(n) > 0 AS node_exists:result:True +2024-10-30 05:12:55,502 - lightrag - INFO - _do_upsert_edge:query: + MATCH (source:`THE PEOPLE`) WITH source - MATCH (target:`THE GROCERS`) + MATCH (target:`THE QUARTER`) MERGE (source)-[r:DIRECTED]->(target) SET r += $properties RETURN r :result:None -2024-10-29 13:37:02,782 - lightrag - INFO - _check_edge_existence:query:MATCH (a:`CHRISTMAS`)-[r]-(b:`FIGS`) RETURN COUNT(r) > 0 AS edgeExists:result:False -2024-10-29 13:37:02,943 - lightrag - INFO - _check_node_exists:query:MATCH (n:`CHRISTMAS`) RETURN count(n) > 0 AS node_exists:result:True -2024-10-29 13:37:03,114 - lightrag - INFO - _check_node_exists:query:MATCH (n:`FIGS`) RETURN count(n) > 0 AS node_exists:result:True -2024-10-29 13:37:03,306 - lightrag - INFO - _do_upsert_edge:query: - MATCH (source:`CHRISTMAS`) +2024-10-30 05:12:55,680 - lightrag - INFO - _check_edge_existence:query:MATCH (a:`THE LOW-BROWED SHOP`)-[r]-(b:`THE PEOPLE`) RETURN COUNT(r) > 0 AS edgeExists:result:False +2024-10-30 05:12:55,850 - lightrag - INFO - _check_node_exists:query:MATCH (n:`THE LOW-BROWED SHOP`) RETURN count(n) > 0 AS node_exists:result:True +2024-10-30 05:12:56,019 - lightrag - INFO - _check_node_exists:query:MATCH (n:`THE PEOPLE`) RETURN count(n) > 0 AS node_exists:result:True +2024-10-30 05:12:56,205 - lightrag - INFO - _do_upsert_edge:query: + MATCH (source:`THE LOW-BROWED SHOP`) WITH source - MATCH (target:`FIGS`) + MATCH (target:`THE PEOPLE`) MERGE (source)-[r:DIRECTED]->(target) SET r += $properties RETURN r :result:None -2024-10-29 13:37:03,489 - lightrag - INFO - _check_edge_existence:query:MATCH (a:`FIGS`)-[r]-(b:`THE GROCERS`) RETURN COUNT(r) > 0 AS edgeExists:result:False -2024-10-29 13:37:03,669 - lightrag - INFO - _check_node_exists:query:MATCH (n:`FIGS`) RETURN count(n) > 0 AS node_exists:result:True -2024-10-29 13:37:03,835 - lightrag - INFO - _check_node_exists:query:MATCH (n:`THE GROCERS`) RETURN count(n) > 0 AS node_exists:result:True -2024-10-29 13:37:04,020 - lightrag - INFO - _do_upsert_edge:query: - MATCH (source:`FIGS`) +2024-10-30 05:12:56,391 - lightrag - INFO - _check_edge_existence:query:MATCH (a:`OLD SCRATCH`)-[r]-(b:`THE FUNERAL`) RETURN COUNT(r) > 0 AS edgeExists:result:False +2024-10-30 05:12:56,567 - lightrag - INFO - _check_node_exists:query:MATCH (n:`OLD SCRATCH`) RETURN count(n) > 0 AS node_exists:result:True +2024-10-30 05:12:56,735 - lightrag - INFO - _check_node_exists:query:MATCH (n:`THE FUNERAL`) RETURN count(n) > 0 AS node_exists:result:True +2024-10-30 05:12:56,941 - lightrag - INFO - _do_upsert_edge:query: + MATCH (source:`OLD SCRATCH`) WITH source - MATCH (target:`THE GROCERS`) + MATCH (target:`THE FUNERAL`) MERGE (source)-[r:DIRECTED]->(target) SET r += $properties RETURN r :result:None -2024-10-29 13:37:04,207 - lightrag - INFO - _check_edge_existence:query:MATCH (a:`CHRISTMAS`)-[r]-(b:`FRENCH PLUMS`) RETURN COUNT(r) > 0 AS edgeExists:result:False -2024-10-29 13:37:04,374 - lightrag - INFO - _check_node_exists:query:MATCH (n:`CHRISTMAS`) RETURN count(n) > 0 AS node_exists:result:True -2024-10-29 13:37:04,554 - lightrag - INFO - _check_node_exists:query:MATCH (n:`FRENCH PLUMS`) RETURN count(n) > 0 AS node_exists:result:True -2024-10-29 13:37:04,747 - lightrag - INFO - _do_upsert_edge:query: - MATCH (source:`CHRISTMAS`) +2024-10-30 05:12:57,183 - lightrag - INFO - _check_edge_existence:query:MATCH (a:`MRS. DILBER`)-[r]-(b:`OLD JOE`) RETURN COUNT(r) > 0 AS edgeExists:result:True +2024-10-30 05:12:57,323 - lightrag - INFO - get_edge:query: + MATCH (source:`MRS. DILBER`)-[r]-(target:`OLD JOE`) + RETURN r + :result:, ) type='DIRECTED' properties={'keywords': '"business interaction, appraisal"', 'description': '"Old Joe assesses the belongings of Mrs. Dilber, reinforcing his role as an appraiser of stolen goods and demonstrating a tendency to be generous towards women."', 'weight': 6.0, 'source_id': 'chunk-60fc063c79fc0d4acc91a57e79de04dc'}> +2024-10-30 05:12:57,467 - lightrag - INFO - _check_edge_existence:query:MATCH (a:`MRS. DILBER`)-[r]-(b:`THE WOMAN`) RETURN COUNT(r) > 0 AS edgeExists:result:True +2024-10-30 05:12:57,604 - lightrag - INFO - get_edge:query: + MATCH (source:`MRS. DILBER`)-[r]-(target:`THE WOMAN`) + RETURN r + :result:, ) type='DIRECTED' properties={'keywords': '"moral discussion, camaraderie"', 'description': '"Mrs. Dilber and The Woman share a conversational dynamic that touches on the moral implications of their actions, creating a camaraderie as they discuss the deceased."', 'weight': 5.0, 'source_id': 'chunk-60fc063c79fc0d4acc91a57e79de04dc'}> +2024-10-30 05:12:57,742 - lightrag - INFO - _check_edge_existence:query:MATCH (a:`OLD JOE`)-[r]-(b:`THE WOMAN`) RETURN COUNT(r) > 0 AS edgeExists:result:True +2024-10-30 05:12:57,872 - lightrag - INFO - get_edge:query: + MATCH (source:`OLD JOE`)-[r]-(target:`THE WOMAN`) + RETURN r + :result:, ) type='DIRECTED' properties={'keywords': '"business interaction, appraisal"', 'description': '"Old Joe interacts with The Woman as she encourages him to evaluate her stolen bundle, indicating a business-like relationship based on appraisal and exchange."', 'weight': 7.0, 'source_id': 'chunk-60fc063c79fc0d4acc91a57e79de04dc'}> +2024-10-30 05:12:58,012 - lightrag - INFO - _check_edge_existence:query:MATCH (a:`THE MAN IN FADED BLACK`)-[r]-(b:`THE WOMAN`) RETURN COUNT(r) > 0 AS edgeExists:result:False +2024-10-30 05:12:58,189 - lightrag - INFO - _check_node_exists:query:MATCH (n:`THE MAN IN FADED BLACK`) RETURN count(n) > 0 AS node_exists:result:True +2024-10-30 05:12:58,361 - lightrag - INFO - _check_node_exists:query:MATCH (n:`THE WOMAN`) RETURN count(n) > 0 AS node_exists:result:True +2024-10-30 05:12:58,547 - lightrag - INFO - _do_upsert_edge:query: + MATCH (source:`THE MAN IN FADED BLACK`) WITH source - MATCH (target:`FRENCH PLUMS`) + MATCH (target:`THE WOMAN`) MERGE (source)-[r:DIRECTED]->(target) SET r += $properties RETURN r :result:None -2024-10-29 13:37:04,928 - lightrag - INFO - _check_edge_existence:query:MATCH (a:`FRENCH PLUMS`)-[r]-(b:`THE GROCERS`) RETURN COUNT(r) > 0 AS edgeExists:result:False -2024-10-29 13:37:05,096 - lightrag - INFO - _check_node_exists:query:MATCH (n:`FRENCH PLUMS`) RETURN count(n) > 0 AS node_exists:result:True -2024-10-29 13:37:05,261 - lightrag - INFO - _check_node_exists:query:MATCH (n:`THE GROCERS`) RETURN count(n) > 0 AS node_exists:result:True -2024-10-29 13:37:05,446 - lightrag - INFO - _do_upsert_edge:query: - MATCH (source:`FRENCH PLUMS`) +2024-10-30 05:12:58,726 - lightrag - INFO - _check_edge_existence:query:MATCH (a:`OLD JOE`)-[r]-(b:`THE GATHERING`) RETURN COUNT(r) > 0 AS edgeExists:result:False +2024-10-30 05:12:58,891 - lightrag - INFO - _check_node_exists:query:MATCH (n:`OLD JOE`) RETURN count(n) > 0 AS node_exists:result:True +2024-10-30 05:12:59,059 - lightrag - INFO - _check_node_exists:query:MATCH (n:`THE GATHERING`) RETURN count(n) > 0 AS node_exists:result:True +2024-10-30 05:12:59,243 - lightrag - INFO - _do_upsert_edge:query: + MATCH (source:`OLD JOE`) WITH source - MATCH (target:`THE GROCERS`) + MATCH (target:`THE GATHERING`) MERGE (source)-[r:DIRECTED]->(target) SET r += $properties RETURN r :result:None -2024-10-29 13:37:05,634 - lightrag - INFO - _check_edge_existence:query:MATCH (a:`BOB CRATCHIT`)-[r]-(b:`MRS. CRATCHIT`) RETURN COUNT(r) > 0 AS edgeExists:result:False -2024-10-29 13:37:05,809 - lightrag - INFO - _check_node_exists:query:MATCH (n:`BOB CRATCHIT`) RETURN count(n) > 0 AS node_exists:result:True -2024-10-29 13:37:05,980 - lightrag - INFO - _check_node_exists:query:MATCH (n:`MRS. CRATCHIT`) RETURN count(n) > 0 AS node_exists:result:True -2024-10-29 13:37:06,164 - lightrag - INFO - _do_upsert_edge:query: - MATCH (source:`BOB CRATCHIT`) +2024-10-30 05:12:59,425 - lightrag - INFO - _check_edge_existence:query:MATCH (a:`SCROOGE`)-[r]-(b:`THE DECEASED MAN`) RETURN COUNT(r) > 0 AS edgeExists:result:False +2024-10-30 05:12:59,582 - lightrag - INFO - _check_node_exists:query:MATCH (n:`SCROOGE`) RETURN count(n) > 0 AS node_exists:result:True +2024-10-30 05:12:59,754 - lightrag - INFO - _check_node_exists:query:MATCH (n:`THE DECEASED MAN`) RETURN count(n) > 0 AS node_exists:result:True +2024-10-30 05:12:59,935 - lightrag - INFO - _do_upsert_edge:query: + MATCH (source:`SCROOGE`) WITH source - MATCH (target:`MRS. CRATCHIT`) + MATCH (target:`THE DECEASED MAN`) MERGE (source)-[r:DIRECTED]->(target) SET r += $properties RETURN r :result:None -2024-10-29 13:37:06,352 - lightrag - INFO - _check_edge_existence:query:MATCH (a:`MRS. CRATCHIT`)-[r]-(b:`PETER CRATCHIT`) RETURN COUNT(r) > 0 AS edgeExists:result:False -2024-10-29 13:37:06,529 - lightrag - INFO - _check_node_exists:query:MATCH (n:`MRS. CRATCHIT`) RETURN count(n) > 0 AS node_exists:result:True -2024-10-29 13:37:06,701 - lightrag - INFO - _check_node_exists:query:MATCH (n:`PETER CRATCHIT`) RETURN count(n) > 0 AS node_exists:result:True -2024-10-29 13:37:06,890 - lightrag - INFO - _do_upsert_edge:query: - MATCH (source:`MRS. CRATCHIT`) +2024-10-30 05:13:00,121 - lightrag - INFO - _check_edge_existence:query:MATCH (a:`JOE`)-[r]-(b:`SCROOGE`) RETURN COUNT(r) > 0 AS edgeExists:result:False +2024-10-30 05:13:00,305 - lightrag - INFO - _check_node_exists:query:MATCH (n:`JOE`) RETURN count(n) > 0 AS node_exists:result:True +2024-10-30 05:13:00,469 - lightrag - INFO - _check_node_exists:query:MATCH (n:`SCROOGE`) RETURN count(n) > 0 AS node_exists:result:True +2024-10-30 05:13:00,652 - lightrag - INFO - _do_upsert_edge:query: + MATCH (source:`JOE`) WITH source - MATCH (target:`PETER CRATCHIT`) + MATCH (target:`SCROOGE`) MERGE (source)-[r:DIRECTED]->(target) SET r += $properties RETURN r :result:None -2024-10-29 13:37:07,074 - lightrag - INFO - _check_edge_existence:query:MATCH (a:`SCROOGE`)-[r]-(b:`THE GHOST OF CHRISTMAS PRESENT`) RETURN COUNT(r) > 0 AS edgeExists:result:False -2024-10-29 13:37:07,236 - lightrag - INFO - _check_node_exists:query:MATCH (n:`SCROOGE`) RETURN count(n) > 0 AS node_exists:result:True -2024-10-29 13:37:07,415 - lightrag - INFO - _check_node_exists:query:MATCH (n:`THE GHOST OF CHRISTMAS PRESENT`) RETURN count(n) > 0 AS node_exists:result:True -2024-10-29 13:37:07,601 - lightrag - INFO - _do_upsert_edge:query: - MATCH (source:`SCROOGE`) +2024-10-30 05:13:00,829 - lightrag - INFO - _check_edge_existence:query:MATCH (a:`DEATH`)-[r]-(b:`THE BED`) RETURN COUNT(r) > 0 AS edgeExists:result:False +2024-10-30 05:13:00,999 - lightrag - INFO - _check_node_exists:query:MATCH (n:`DEATH`) RETURN count(n) > 0 AS node_exists:result:True +2024-10-30 05:13:01,176 - lightrag - INFO - _check_node_exists:query:MATCH (n:`THE BED`) RETURN count(n) > 0 AS node_exists:result:True +2024-10-30 05:13:01,361 - lightrag - INFO - _do_upsert_edge:query: + MATCH (source:`DEATH`) WITH source - MATCH (target:`THE GHOST OF CHRISTMAS PRESENT`) + MATCH (target:`THE BED`) MERGE (source)-[r:DIRECTED]->(target) SET r += $properties RETURN r :result:None -2024-10-29 13:37:07,785 - lightrag - INFO - _check_edge_existence:query:MATCH (a:`BAKER'S SHOPS`)-[r]-(b:`CHRISTMAS DAY`) RETURN COUNT(r) > 0 AS edgeExists:result:False -2024-10-29 13:37:07,956 - lightrag - INFO - _check_node_exists:query:MATCH (n:`BAKER'S SHOPS`) RETURN count(n) > 0 AS node_exists:result:True -2024-10-29 13:37:08,130 - lightrag - INFO - _check_node_exists:query:MATCH (n:`CHRISTMAS DAY`) RETURN count(n) > 0 AS node_exists:result:True -2024-10-29 13:37:08,312 - lightrag - INFO - _do_upsert_edge:query: - MATCH (source:`BAKER'S SHOPS`) +2024-10-30 05:13:01,542 - lightrag - INFO - _check_edge_existence:query:MATCH (a:`THE BUNDLE`)-[r]-(b:`THE DECEASED MAN`) RETURN COUNT(r) > 0 AS edgeExists:result:False +2024-10-30 05:13:01,708 - lightrag - INFO - _check_node_exists:query:MATCH (n:`THE BUNDLE`) RETURN count(n) > 0 AS node_exists:result:True +2024-10-30 05:13:01,880 - lightrag - INFO - _check_node_exists:query:MATCH (n:`THE DECEASED MAN`) RETURN count(n) > 0 AS node_exists:result:True +2024-10-30 05:13:02,067 - lightrag - INFO - _do_upsert_edge:query: + MATCH (source:`THE BUNDLE`) WITH source - MATCH (target:`CHRISTMAS DAY`) + MATCH (target:`THE DECEASED MAN`) MERGE (source)-[r:DIRECTED]->(target) SET r += $properties RETURN r :result:None -2024-10-29 13:37:08,492 - lightrag - INFO - _check_edge_existence:query:MATCH (a:`BOB CRATCHIT`)-[r]-(b:`TINY TIM`) RETURN COUNT(r) > 0 AS edgeExists:result:False -2024-10-29 13:37:08,673 - lightrag - INFO - _check_node_exists:query:MATCH (n:`BOB CRATCHIT`) RETURN count(n) > 0 AS node_exists:result:True -2024-10-29 13:37:08,851 - lightrag - INFO - _check_node_exists:query:MATCH (n:`TINY TIM`) RETURN count(n) > 0 AS node_exists:result:True -2024-10-29 13:37:09,035 - lightrag - INFO - _do_upsert_edge:query: - MATCH (source:`BOB CRATCHIT`) +2024-10-30 05:13:02,250 - lightrag - INFO - _check_edge_existence:query:MATCH (a:`THE BLANKETS`)-[r]-(b:`THE CORPSE`) RETURN COUNT(r) > 0 AS edgeExists:result:False +2024-10-30 05:13:02,418 - lightrag - INFO - _check_node_exists:query:MATCH (n:`THE BLANKETS`) RETURN count(n) > 0 AS node_exists:result:True +2024-10-30 05:13:02,588 - lightrag - INFO - _check_node_exists:query:MATCH (n:`THE CORPSE`) RETURN count(n) > 0 AS node_exists:result:True +2024-10-30 05:13:02,766 - lightrag - INFO - _do_upsert_edge:query: + MATCH (source:`THE BLANKETS`) WITH source - MATCH (target:`TINY TIM`) + MATCH (target:`THE CORPSE`) MERGE (source)-[r:DIRECTED]->(target) SET r += $properties RETURN r :result:None -2024-10-29 13:37:09,221 - lightrag - INFO - _check_edge_existence:query:MATCH (a:`CRATCHIT FAMILY`)-[r]-(b:`TINY TIM`) RETURN COUNT(r) > 0 AS edgeExists:result:False -2024-10-29 13:37:09,396 - lightrag - INFO - _check_node_exists:query:MATCH (n:`CRATCHIT FAMILY`) RETURN count(n) > 0 AS node_exists:result:True -2024-10-29 13:37:09,569 - lightrag - INFO - _check_node_exists:query:MATCH (n:`TINY TIM`) RETURN count(n) > 0 AS node_exists:result:True -2024-10-29 13:37:09,755 - lightrag - INFO - _do_upsert_edge:query: - MATCH (source:`CRATCHIT FAMILY`) +2024-10-30 05:13:02,945 - lightrag - INFO - _check_edge_existence:query:MATCH (a:`THE BLANKET`)-[r]-(b:`THE OIL`) RETURN COUNT(r) > 0 AS edgeExists:result:False +2024-10-30 05:13:03,122 - lightrag - INFO - _check_node_exists:query:MATCH (n:`THE BLANKET`) RETURN count(n) > 0 AS node_exists:result:False +2024-10-30 05:13:03,298 - lightrag - INFO - _do_upsert:query: + MERGE (n:`THE BLANKET`) + SET n += $properties + RETURN n + :result:{'entity_type': '"UNKNOWN"', 'description': '"The Oil’s presence suggests a practical yet insensitive attitude towards the care of The Blanket and the deceased."', 'source_id': 'chunk-e1f29eeadc1d8ab46dc8a0bbd3c56b64'} +2024-10-30 05:13:03,477 - lightrag - INFO - _check_node_exists:query:MATCH (n:`THE OIL`) RETURN count(n) > 0 AS node_exists:result:True +2024-10-30 05:13:03,660 - lightrag - INFO - _do_upsert_edge:query: + MATCH (source:`THE BLANKET`) WITH source - MATCH (target:`TINY TIM`) + MATCH (target:`THE OIL`) MERGE (source)-[r:DIRECTED]->(target) SET r += $properties RETURN r :result:None -2024-10-29 13:37:09,941 - lightrag - INFO - _check_edge_existence:query:MATCH (a:`BOB CRATCHIT`)-[r]-(b:`MARTHA CRATCHIT`) RETURN COUNT(r) > 0 AS edgeExists:result:False -2024-10-29 13:37:10,118 - lightrag - INFO - _check_node_exists:query:MATCH (n:`BOB CRATCHIT`) RETURN count(n) > 0 AS node_exists:result:True -2024-10-29 13:37:10,293 - lightrag - INFO - _check_node_exists:query:MATCH (n:`MARTHA CRATCHIT`) RETURN count(n) > 0 AS node_exists:result:True -2024-10-29 13:37:10,480 - lightrag - INFO - _do_upsert_edge:query: - MATCH (source:`BOB CRATCHIT`) +2024-10-30 05:13:03,838 - lightrag - INFO - _check_edge_existence:query:MATCH (a:`SCROOGE`)-[r]-(b:`THE CORPSE`) RETURN COUNT(r) > 0 AS edgeExists:result:False +2024-10-30 05:13:03,992 - lightrag - INFO - _check_node_exists:query:MATCH (n:`SCROOGE`) RETURN count(n) > 0 AS node_exists:result:True +2024-10-30 05:13:04,167 - lightrag - INFO - _check_node_exists:query:MATCH (n:`THE CORPSE`) RETURN count(n) > 0 AS node_exists:result:True +2024-10-30 05:13:04,353 - lightrag - INFO - _do_upsert_edge:query: + MATCH (source:`SCROOGE`) WITH source - MATCH (target:`MARTHA CRATCHIT`) + MATCH (target:`THE CORPSE`) MERGE (source)-[r:DIRECTED]->(target) SET r += $properties RETURN r :result:None -2024-10-29 13:37:10,663 - lightrag - INFO - _check_edge_existence:query:MATCH (a:`CHRISTMAS DAY`)-[r]-(b:`CRATCHIT FAMILY`) RETURN COUNT(r) > 0 AS edgeExists:result:False -2024-10-29 13:37:10,882 - lightrag - INFO - _check_node_exists:query:MATCH (n:`CHRISTMAS DAY`) RETURN count(n) > 0 AS node_exists:result:True -2024-10-29 13:37:11,054 - lightrag - INFO - _check_node_exists:query:MATCH (n:`CRATCHIT FAMILY`) RETURN count(n) > 0 AS node_exists:result:True -2024-10-29 13:37:11,240 - lightrag - INFO - _do_upsert_edge:query: - MATCH (source:`CHRISTMAS DAY`) +2024-10-30 05:13:04,537 - lightrag - INFO - _check_edge_existence:query:MATCH (a:`BOB CRATCHIT`)-[r]-(b:`CAROLINE`) RETURN COUNT(r) > 0 AS edgeExists:result:True +2024-10-30 05:13:04,672 - lightrag - INFO - get_edge:query: + MATCH (source:`BOB CRATCHIT`)-[r]-(target:`CAROLINE`) + RETURN r + :result:, ) type='DIRECTED' properties={'keywords': '"hope, financial strain"', 'description': '"Caroline expresses hope combined with anxiety regarding their financial situation, affecting her relationship with Bob Cratchit."', 'weight': 7.0, 'source_id': 'chunk-83ac129dc9b56f84c46760d153d68e93'}> +2024-10-30 05:13:04,812 - lightrag - INFO - _check_edge_existence:query:MATCH (a:`SPIRIT`)-[r]-(b:`THE EVENT OF DEATH`) RETURN COUNT(r) > 0 AS edgeExists:result:False +2024-10-30 05:13:04,973 - lightrag - INFO - _check_node_exists:query:MATCH (n:`SPIRIT`) RETURN count(n) > 0 AS node_exists:result:True +2024-10-30 05:13:05,147 - lightrag - INFO - _check_node_exists:query:MATCH (n:`THE EVENT OF DEATH`) RETURN count(n) > 0 AS node_exists:result:True +2024-10-30 05:13:05,331 - lightrag - INFO - _do_upsert_edge:query: + MATCH (source:`SPIRIT`) WITH source - MATCH (target:`CRATCHIT FAMILY`) + MATCH (target:`THE EVENT OF DEATH`) MERGE (source)-[r:DIRECTED]->(target) SET r += $properties RETURN r :result:None -2024-10-29 13:37:11,435 - lightrag - INFO - _check_edge_existence:query:MATCH (a:`CRATCHIT FAMILY`)-[r]-(b:`MASTER PETER CRATCHIT`) RETURN COUNT(r) > 0 AS edgeExists:result:False -2024-10-29 13:37:11,614 - lightrag - INFO - _check_node_exists:query:MATCH (n:`CRATCHIT FAMILY`) RETURN count(n) > 0 AS node_exists:result:True -2024-10-29 13:37:11,787 - lightrag - INFO - _check_node_exists:query:MATCH (n:`MASTER PETER CRATCHIT`) RETURN count(n) > 0 AS node_exists:result:True -2024-10-29 13:37:11,976 - lightrag - INFO - _do_upsert_edge:query: - MATCH (source:`CRATCHIT FAMILY`) +2024-10-30 05:13:05,523 - lightrag - INFO - _check_edge_existence:query:MATCH (a:`SCROOGE`)-[r]-(b:`THE CRATCHIT HOUSE`) RETURN COUNT(r) > 0 AS edgeExists:result:False +2024-10-30 05:13:05,682 - lightrag - INFO - _check_node_exists:query:MATCH (n:`SCROOGE`) RETURN count(n) > 0 AS node_exists:result:True +2024-10-30 05:13:05,854 - lightrag - INFO - _check_node_exists:query:MATCH (n:`THE CRATCHIT HOUSE`) RETURN count(n) > 0 AS node_exists:result:True +2024-10-30 05:13:06,043 - lightrag - INFO - _do_upsert_edge:query: + MATCH (source:`SCROOGE`) WITH source - MATCH (target:`MASTER PETER CRATCHIT`) + MATCH (target:`THE CRATCHIT HOUSE`) MERGE (source)-[r:DIRECTED]->(target) SET r += $properties RETURN r :result:None -2024-10-29 13:37:12,160 - lightrag - INFO - _check_edge_existence:query:MATCH (a:`BELINDA CRATCHIT`)-[r]-(b:`CRATCHIT FAMILY`) RETURN COUNT(r) > 0 AS edgeExists:result:False -2024-10-29 13:37:12,334 - lightrag - INFO - _check_node_exists:query:MATCH (n:`BELINDA CRATCHIT`) RETURN count(n) > 0 AS node_exists:result:True -2024-10-29 13:37:12,498 - lightrag - INFO - _check_node_exists:query:MATCH (n:`CRATCHIT FAMILY`) RETURN count(n) > 0 AS node_exists:result:True -2024-10-29 13:37:12,682 - lightrag - INFO - _do_upsert_edge:query: - MATCH (source:`BELINDA CRATCHIT`) +2024-10-30 05:13:06,227 - lightrag - INFO - _check_edge_existence:query:MATCH (a:`THE HUSBAND`)-[r]-(b:`THE MOTHER`) RETURN COUNT(r) > 0 AS edgeExists:result:False +2024-10-30 05:13:06,398 - lightrag - INFO - _check_node_exists:query:MATCH (n:`THE HUSBAND`) RETURN count(n) > 0 AS node_exists:result:True +2024-10-30 05:13:06,569 - lightrag - INFO - _check_node_exists:query:MATCH (n:`THE MOTHER`) RETURN count(n) > 0 AS node_exists:result:True +2024-10-30 05:13:06,751 - lightrag - INFO - _do_upsert_edge:query: + MATCH (source:`THE HUSBAND`) WITH source - MATCH (target:`CRATCHIT FAMILY`) + MATCH (target:`THE MOTHER`) MERGE (source)-[r:DIRECTED]->(target) SET r += $properties RETURN r :result:None -2024-10-29 13:37:12,867 - lightrag - INFO - _check_edge_existence:query:MATCH (a:`CRATCHIT FAMILY`)-[r]-(b:`MRS. CRATCHIT`) RETURN COUNT(r) > 0 AS edgeExists:result:False -2024-10-29 13:37:13,029 - lightrag - INFO - _check_node_exists:query:MATCH (n:`CRATCHIT FAMILY`) RETURN count(n) > 0 AS node_exists:result:True -2024-10-29 13:37:13,199 - lightrag - INFO - _check_node_exists:query:MATCH (n:`MRS. CRATCHIT`) RETURN count(n) > 0 AS node_exists:result:True -2024-10-29 13:37:13,394 - lightrag - INFO - _do_upsert_edge:query: - MATCH (source:`CRATCHIT FAMILY`) +2024-10-30 05:13:06,937 - lightrag - INFO - _check_edge_existence:query:MATCH (a:`CAROLINE`)-[r]-(b:`THE HUSBAND`) RETURN COUNT(r) > 0 AS edgeExists:result:False +2024-10-30 05:13:07,109 - lightrag - INFO - _check_node_exists:query:MATCH (n:`CAROLINE`) RETURN count(n) > 0 AS node_exists:result:True +2024-10-30 05:13:07,274 - lightrag - INFO - _check_node_exists:query:MATCH (n:`THE HUSBAND`) RETURN count(n) > 0 AS node_exists:result:True +2024-10-30 05:13:07,459 - lightrag - INFO - _do_upsert_edge:query: + MATCH (source:`CAROLINE`) WITH source - MATCH (target:`MRS. CRATCHIT`) + MATCH (target:`THE HUSBAND`) MERGE (source)-[r:DIRECTED]->(target) SET r += $properties RETURN r :result:None -2024-10-29 13:37:13,578 - lightrag - INFO - _check_edge_existence:query:MATCH (a:`CRATCHIT FAMILY`)-[r]-(b:`THE GOOSE`) RETURN COUNT(r) > 0 AS edgeExists:result:False -2024-10-29 13:37:13,743 - lightrag - INFO - _check_node_exists:query:MATCH (n:`CRATCHIT FAMILY`) RETURN count(n) > 0 AS node_exists:result:True -2024-10-29 13:37:13,921 - lightrag - INFO - _check_node_exists:query:MATCH (n:`THE GOOSE`) RETURN count(n) > 0 AS node_exists:result:True -2024-10-29 13:37:14,102 - lightrag - INFO - _do_upsert_edge:query: - MATCH (source:`CRATCHIT FAMILY`) +2024-10-30 05:13:07,645 - lightrag - INFO - _check_edge_existence:query:MATCH (a:`PETER`)-[r]-(b:`THE CHILDREN`) RETURN COUNT(r) > 0 AS edgeExists:result:False +2024-10-30 05:13:07,811 - lightrag - INFO - _check_node_exists:query:MATCH (n:`PETER`) RETURN count(n) > 0 AS node_exists:result:True +2024-10-30 05:13:07,980 - lightrag - INFO - _check_node_exists:query:MATCH (n:`THE CHILDREN`) RETURN count(n) > 0 AS node_exists:result:True +2024-10-30 05:13:08,191 - lightrag - INFO - _do_upsert_edge:query: + MATCH (source:`PETER`) WITH source - MATCH (target:`THE GOOSE`) + MATCH (target:`THE CHILDREN`) MERGE (source)-[r:DIRECTED]->(target) SET r += $properties RETURN r :result:None -2024-10-29 13:37:14,288 - lightrag - INFO - _check_edge_existence:query:MATCH (a:`CHRISTMAS PUDDING`)-[r]-(b:`MRS. CRATCHIT`) RETURN COUNT(r) > 0 AS edgeExists:result:False -2024-10-29 13:37:14,466 - lightrag - INFO - _check_node_exists:query:MATCH (n:`CHRISTMAS PUDDING`) RETURN count(n) > 0 AS node_exists:result:True -2024-10-29 13:37:14,627 - lightrag - INFO - _check_node_exists:query:MATCH (n:`MRS. CRATCHIT`) RETURN count(n) > 0 AS node_exists:result:True -2024-10-29 13:37:14,811 - lightrag - INFO - _do_upsert_edge:query: - MATCH (source:`CHRISTMAS PUDDING`) +2024-10-30 05:13:08,383 - lightrag - INFO - _check_edge_existence:query:MATCH (a:`THE CRATCHIT HOUSE`)-[r]-(b:`THE DEBT`) RETURN COUNT(r) > 0 AS edgeExists:result:False +2024-10-30 05:13:08,562 - lightrag - INFO - _check_node_exists:query:MATCH (n:`THE CRATCHIT HOUSE`) RETURN count(n) > 0 AS node_exists:result:True +2024-10-30 05:13:08,735 - lightrag - INFO - _check_node_exists:query:MATCH (n:`THE DEBT`) RETURN count(n) > 0 AS node_exists:result:True +2024-10-30 05:13:08,917 - lightrag - INFO - _do_upsert_edge:query: + MATCH (source:`THE CRATCHIT HOUSE`) WITH source - MATCH (target:`MRS. CRATCHIT`) + MATCH (target:`THE DEBT`) MERGE (source)-[r:DIRECTED]->(target) SET r += $properties RETURN r :result:None -2024-10-29 13:37:15,001 - lightrag - INFO - _check_edge_existence:query:MATCH (a:`CHRISTMAS PUDDING`)-[r]-(b:`CRATCHIT FAMILY`) RETURN COUNT(r) > 0 AS edgeExists:result:False -2024-10-29 13:37:15,178 - lightrag - INFO - _check_node_exists:query:MATCH (n:`CHRISTMAS PUDDING`) RETURN count(n) > 0 AS node_exists:result:True -2024-10-29 13:37:15,341 - lightrag - INFO - _check_node_exists:query:MATCH (n:`CRATCHIT FAMILY`) RETURN count(n) > 0 AS node_exists:result:True -2024-10-29 13:37:15,529 - lightrag - INFO - _do_upsert_edge:query: - MATCH (source:`CHRISTMAS PUDDING`) +2024-10-30 05:13:09,107 - lightrag - INFO - _check_edge_existence:query:MATCH (a:`CAROLINE`)-[r]-(b:`HOPE`) RETURN COUNT(r) > 0 AS edgeExists:result:False +2024-10-30 05:13:09,290 - lightrag - INFO - _check_node_exists:query:MATCH (n:`CAROLINE`) RETURN count(n) > 0 AS node_exists:result:True +2024-10-30 05:13:09,465 - lightrag - INFO - _check_node_exists:query:MATCH (n:`HOPE`) RETURN count(n) > 0 AS node_exists:result:True +2024-10-30 05:13:09,652 - lightrag - INFO - _do_upsert_edge:query: + MATCH (source:`CAROLINE`) WITH source - MATCH (target:`CRATCHIT FAMILY`) + MATCH (target:`HOPE`) MERGE (source)-[r:DIRECTED]->(target) SET r += $properties RETURN r :result:None -2024-10-29 13:37:15,712 - lightrag - INFO - _check_edge_existence:query:MATCH (a:`SCROOGE`)-[r]-(b:`TINY TIM`) RETURN COUNT(r) > 0 AS edgeExists:result:False -2024-10-29 13:37:15,877 - lightrag - INFO - _check_node_exists:query:MATCH (n:`SCROOGE`) RETURN count(n) > 0 AS node_exists:result:True -2024-10-29 13:37:16,051 - lightrag - INFO - _check_node_exists:query:MATCH (n:`TINY TIM`) RETURN count(n) > 0 AS node_exists:result:True -2024-10-29 13:37:16,234 - lightrag - INFO - _do_upsert_edge:query: - MATCH (source:`SCROOGE`) +2024-10-30 05:13:09,835 - lightrag - INFO - _check_edge_existence:query:MATCH (a:`BOB CRATCHIT`)-[r]-(b:`MR. SCROOGE'S NEPHEW`) RETURN COUNT(r) > 0 AS edgeExists:result:True +2024-10-30 05:13:09,968 - lightrag - INFO - get_edge:query: + MATCH (source:`BOB CRATCHIT`)-[r]-(target:`MR. SCROOGE'S NEPHEW`) + RETURN r + :result:, ) type='DIRECTED' properties={'keywords': '"kindness, support"', 'description': '"Bob Cratchit shares a positive interaction with Mr. Scrooge\'s Nephew, who expresses kindness and concern for his family."', 'weight': 7.0, 'source_id': 'chunk-1d4b58de5429cd1261370c231c8673e8'}> +2024-10-30 05:13:10,105 - lightrag - INFO - _check_edge_existence:query:MATCH (a:`BOB CRATCHIT`)-[r]-(b:`PETER`) RETURN COUNT(r) > 0 AS edgeExists:result:True +2024-10-30 05:13:10,241 - lightrag - INFO - get_edge:query: + MATCH (source:`BOB CRATCHIT`)-[r]-(target:`PETER`) + RETURN r + :result:, ) type='DIRECTED' properties={'keywords': '"family discussions, support"', 'description': '"Peter interacts with Bob Cratchit, showing the dynamics of a supportive family unit while discussing aspirations."', 'weight': 6.0, 'source_id': 'chunk-1d4b58de5429cd1261370c231c8673e8'}> +2024-10-30 05:13:10,383 - lightrag - INFO - _check_edge_existence:query:MATCH (a:`CHRISTMAS`)-[r]-(b:`TINY TIM`) RETURN COUNT(r) > 0 AS edgeExists:result:False +2024-10-30 05:13:10,549 - lightrag - INFO - _check_node_exists:query:MATCH (n:`CHRISTMAS`) RETURN count(n) > 0 AS node_exists:result:True +2024-10-30 05:13:10,724 - lightrag - INFO - _check_node_exists:query:MATCH (n:`TINY TIM`) RETURN count(n) > 0 AS node_exists:result:True +2024-10-30 05:13:10,905 - lightrag - INFO - _do_upsert_edge:query: + MATCH (source:`CHRISTMAS`) WITH source MATCH (target:`TINY TIM`) MERGE (source)-[r:DIRECTED]->(target) SET r += $properties RETURN r :result:None -2024-10-29 13:37:16,426 - lightrag - INFO - _check_edge_existence:query:MATCH (a:`MRS. CRATCHIT`)-[r]-(b:`SCROOGE`) RETURN COUNT(r) > 0 AS edgeExists:result:False -2024-10-29 13:37:16,589 - lightrag - INFO - _check_node_exists:query:MATCH (n:`MRS. CRATCHIT`) RETURN count(n) > 0 AS node_exists:result:True -2024-10-29 13:37:16,757 - lightrag - INFO - _check_node_exists:query:MATCH (n:`SCROOGE`) RETURN count(n) > 0 AS node_exists:result:True -2024-10-29 13:37:16,942 - lightrag - INFO - _do_upsert_edge:query: - MATCH (source:`MRS. CRATCHIT`) +2024-10-30 05:13:11,082 - lightrag - INFO - _check_edge_existence:query:MATCH (a:`SCROOGE`)-[r]-(b:`THE GHOST OF CHRISTMAS YET TO COME`) RETURN COUNT(r) > 0 AS edgeExists:result:True +2024-10-30 05:13:11,218 - lightrag - INFO - get_edge:query: + MATCH (source:`SCROOGE`)-[r]-(target:`THE GHOST OF CHRISTMAS YET TO COME`) + RETURN r + :result:, ) type='DIRECTED' properties={'keywords': '"consequences, change""guidance, self-confrontation"', 'description': '"The Ghost guides Scrooge to confront his potential future that threatens his existence.""The Ghost is critical in revealing the consequences of Scrooge\'s life choices, pushing for change."', 'weight': 19.0, 'source_id': 'chunk-91572b3cd42786ba4cb2f180ca25cbf4'}> +2024-10-30 05:13:11,360 - lightrag - INFO - _check_edge_existence:query:MATCH (a:`GRAVE`)-[r]-(b:`SCROOGE`) RETURN COUNT(r) > 0 AS edgeExists:result:False +2024-10-30 05:13:11,533 - lightrag - INFO - _check_node_exists:query:MATCH (n:`GRAVE`) RETURN count(n) > 0 AS node_exists:result:True +2024-10-30 05:13:11,689 - lightrag - INFO - _check_node_exists:query:MATCH (n:`SCROOGE`) RETURN count(n) > 0 AS node_exists:result:True +2024-10-30 05:13:11,868 - lightrag - INFO - _do_upsert_edge:query: + MATCH (source:`GRAVE`) WITH source MATCH (target:`SCROOGE`) MERGE (source)-[r:DIRECTED]->(target) SET r += $properties RETURN r :result:None -2024-10-29 13:37:17,121 - lightrag - INFO - _check_edge_existence:query:MATCH (a:`CHRISTMAS DAY`)-[r]-(b:`THE SPIRIT`) RETURN COUNT(r) > 0 AS edgeExists:result:False -2024-10-29 13:37:17,293 - lightrag - INFO - _check_node_exists:query:MATCH (n:`CHRISTMAS DAY`) RETURN count(n) > 0 AS node_exists:result:True -2024-10-29 13:37:17,468 - lightrag - INFO - _check_node_exists:query:MATCH (n:`THE SPIRIT`) RETURN count(n) > 0 AS node_exists:result:True -2024-10-29 13:37:17,657 - lightrag - INFO - _do_upsert_edge:query: - MATCH (source:`CHRISTMAS DAY`) - WITH source - MATCH (target:`THE SPIRIT`) - MERGE (source)-[r:DIRECTED]->(target) - SET r += $properties +2024-10-30 05:13:12,050 - lightrag - INFO - _check_edge_existence:query:MATCH (a:`CHRISTMAS DAY`)-[r]-(b:`SCROOGE`) RETURN COUNT(r) > 0 AS edgeExists:result:True +2024-10-30 05:13:12,195 - lightrag - INFO - get_edge:query: + MATCH (source:`CHRISTMAS DAY`)-[r]-(target:`SCROOGE`) RETURN r - :result:None -2024-10-29 13:37:17,840 - lightrag - INFO - _check_edge_existence:query:MATCH (a:`BOB CRATCHIT`)-[r]-(b:`MASTER PETER`) RETURN COUNT(r) > 0 AS edgeExists:result:False -2024-10-29 13:37:18,014 - lightrag - INFO - _check_node_exists:query:MATCH (n:`BOB CRATCHIT`) RETURN count(n) > 0 AS node_exists:result:True -2024-10-29 13:37:18,190 - lightrag - INFO - _check_node_exists:query:MATCH (n:`MASTER PETER`) RETURN count(n) > 0 AS node_exists:result:True -2024-10-29 13:37:18,383 - lightrag - INFO - _do_upsert_edge:query: + :result:, ) type='DIRECTED' properties={'keywords': '"seasonal significance, renewal"', 'description': '"Scrooge\'s change in attitude and actions occur on Christmas Day, making it a pivotal event in his story."', 'weight': 9.0, 'source_id': 'chunk-90b95db5c53e4364a6bee36b7aa4d70f'}> +2024-10-30 05:13:12,380 - lightrag - INFO - _check_edge_existence:query:MATCH (a:`BOB CRATCHIT`)-[r]-(b:`THE POULTERER'S`) RETURN COUNT(r) > 0 AS edgeExists:result:False +2024-10-30 05:13:12,556 - lightrag - INFO - _check_node_exists:query:MATCH (n:`BOB CRATCHIT`) RETURN count(n) > 0 AS node_exists:result:True +2024-10-30 05:13:12,726 - lightrag - INFO - _check_node_exists:query:MATCH (n:`THE POULTERER'S`) RETURN count(n) > 0 AS node_exists:result:True +2024-10-30 05:13:12,908 - lightrag - INFO - _do_upsert_edge:query: MATCH (source:`BOB CRATCHIT`) WITH source - MATCH (target:`MASTER PETER`) + MATCH (target:`THE POULTERER'S`) MERGE (source)-[r:DIRECTED]->(target) SET r += $properties RETURN r :result:None -2024-10-29 13:37:18,570 - lightrag - INFO - _check_edge_existence:query:MATCH (a:`CRATCHIT FAMILY`)-[r]-(b:`MARTHA`) RETURN COUNT(r) > 0 AS edgeExists:result:False -2024-10-29 13:37:18,735 - lightrag - INFO - _check_node_exists:query:MATCH (n:`CRATCHIT FAMILY`) RETURN count(n) > 0 AS node_exists:result:True -2024-10-29 13:37:18,917 - lightrag - INFO - _check_node_exists:query:MATCH (n:`MARTHA`) RETURN count(n) > 0 AS node_exists:result:True -2024-10-29 13:37:19,099 - lightrag - INFO - _do_upsert_edge:query: - MATCH (source:`CRATCHIT FAMILY`) - WITH source - MATCH (target:`MARTHA`) - MERGE (source)-[r:DIRECTED]->(target) - SET r += $properties +2024-10-30 05:13:13,091 - lightrag - INFO - _check_edge_existence:query:MATCH (a:`SCROOGE`)-[r]-(b:`THE GHOST OF CHRISTMAS PRESENT`) RETURN COUNT(r) > 0 AS edgeExists:result:True +2024-10-30 05:13:13,228 - lightrag - INFO - get_edge:query: + MATCH (source:`SCROOGE`)-[r]-(target:`THE GHOST OF CHRISTMAS PRESENT`) RETURN r - :result:None -2024-10-29 13:37:19,281 - lightrag - INFO - _check_edge_existence:query:MATCH (a:`MARTHA`)-[r]-(b:`TINY TIM`) RETURN COUNT(r) > 0 AS edgeExists:result:False -2024-10-29 13:37:19,460 - lightrag - INFO - _check_node_exists:query:MATCH (n:`MARTHA`) RETURN count(n) > 0 AS node_exists:result:True -2024-10-29 13:37:19,640 - lightrag - INFO - _check_node_exists:query:MATCH (n:`TINY TIM`) RETURN count(n) > 0 AS node_exists:result:True -2024-10-29 13:37:19,823 - lightrag - INFO - _do_upsert_edge:query: - MATCH (source:`MARTHA`) - WITH source - MATCH (target:`TINY TIM`) - MERGE (source)-[r:DIRECTED]->(target) - SET r += $properties + :result:, ) type='DIRECTED' properties={'keywords': '"awareness, joy""supernatural guidance, social impact""transformation, guidance"', 'description': '"The Ghost of Christmas Present exposes Scrooge to the joy and generosity he has been missing.""The Ghost of Christmas Present observes Scrooge\'s transformation and emotional engagement with his memories of Christmas.""The Ghost of Christmas Present shows Scrooge the joy and importance of kindness during Christmas, impacting his perspective on social issues."', 'weight': 26.0, 'source_id': 'chunk-90b95db5c53e4364a6bee36b7aa4d70fchunk-43c9bee23adfa77aa9dedd22401bba7dchunk-b0f459f5af1c3a5e0b92cbe4ee48b77b'}> +2024-10-30 05:13:13,364 - lightrag - INFO - _check_edge_existence:query:MATCH (a:`SCROOGE`)-[r]-(b:`THE BOY`) RETURN COUNT(r) > 0 AS edgeExists:result:True +2024-10-30 05:13:13,501 - lightrag - INFO - get_edge:query: + MATCH (source:`SCROOGE`)-[r]-(target:`THE BOY`) RETURN r - :result:None -2024-10-29 13:37:20,012 - lightrag - INFO - _check_edge_existence:query:MATCH (a:`MARTHA`)-[r]-(b:`THE LORD`) RETURN COUNT(r) > 0 AS edgeExists:result:False -2024-10-29 13:37:20,175 - lightrag - INFO - _check_node_exists:query:MATCH (n:`MARTHA`) RETURN count(n) > 0 AS node_exists:result:True -2024-10-29 13:37:20,347 - lightrag - INFO - _check_node_exists:query:MATCH (n:`THE LORD`) RETURN count(n) > 0 AS node_exists:result:True -2024-10-29 13:37:20,543 - lightrag - INFO - _do_upsert_edge:query: - MATCH (source:`MARTHA`) + :result:, ) type='DIRECTED' properties={'keywords': '"generosity, kindness"', 'description': '"Scrooge interacts with The Boy to deliver the turkey, showing a newfound generosity and connection to others."', 'weight': 8.0, 'source_id': 'chunk-8f738cb25d60a7dab782162d9d0a25ed'}> +2024-10-30 05:13:13,640 - lightrag - INFO - _check_edge_existence:query:MATCH (a:`BOB CRATCHIT`)-[r]-(b:`THE CHRISTMAS DINNER`) RETURN COUNT(r) > 0 AS edgeExists:result:False +2024-10-30 05:13:13,811 - lightrag - INFO - _check_node_exists:query:MATCH (n:`BOB CRATCHIT`) RETURN count(n) > 0 AS node_exists:result:True +2024-10-30 05:13:13,982 - lightrag - INFO - _check_node_exists:query:MATCH (n:`THE CHRISTMAS DINNER`) RETURN count(n) > 0 AS node_exists:result:True +2024-10-30 05:13:14,164 - lightrag - INFO - _do_upsert_edge:query: + MATCH (source:`BOB CRATCHIT`) WITH source - MATCH (target:`THE LORD`) + MATCH (target:`THE CHRISTMAS DINNER`) MERGE (source)-[r:DIRECTED]->(target) SET r += $properties RETURN r :result:None -2024-10-29 13:37:20,728 - lightrag - INFO - _check_edge_existence:query:MATCH (a:`MARTHA`)-[r]-(b:`THE COUNTESS`) RETURN COUNT(r) > 0 AS edgeExists:result:False -2024-10-29 13:37:20,895 - lightrag - INFO - _check_node_exists:query:MATCH (n:`MARTHA`) RETURN count(n) > 0 AS node_exists:result:True -2024-10-29 13:37:21,072 - lightrag - INFO - _check_node_exists:query:MATCH (n:`THE COUNTESS`) RETURN count(n) > 0 AS node_exists:result:True -2024-10-29 13:37:21,252 - lightrag - INFO - _do_upsert_edge:query: - MATCH (source:`MARTHA`) +2024-10-30 05:13:14,344 - lightrag - INFO - _check_edge_existence:query:MATCH (a:`SCROOGE`)-[r]-(b:`THE OLD GENTLEMAN`) RETURN COUNT(r) > 0 AS edgeExists:result:False +2024-10-30 05:13:14,505 - lightrag - INFO - _check_node_exists:query:MATCH (n:`SCROOGE`) RETURN count(n) > 0 AS node_exists:result:True +2024-10-30 05:13:14,683 - lightrag - INFO - _check_node_exists:query:MATCH (n:`THE OLD GENTLEMAN`) RETURN count(n) > 0 AS node_exists:result:True +2024-10-30 05:13:14,865 - lightrag - INFO - _do_upsert_edge:query: + MATCH (source:`SCROOGE`) WITH source - MATCH (target:`THE COUNTESS`) + MATCH (target:`THE OLD GENTLEMAN`) MERGE (source)-[r:DIRECTED]->(target) SET r += $properties RETURN r :result:None -2024-10-29 13:37:21,446 - lightrag - INFO - _check_edge_existence:query:MATCH (a:`CHRISTMAS FEAST`)-[r]-(b:`CRATCHIT FAMILY`) RETURN COUNT(r) > 0 AS edgeExists:result:False -2024-10-29 13:37:21,621 - lightrag - INFO - _check_node_exists:query:MATCH (n:`CHRISTMAS FEAST`) RETURN count(n) > 0 AS node_exists:result:True -2024-10-29 13:37:21,787 - lightrag - INFO - _check_node_exists:query:MATCH (n:`CRATCHIT FAMILY`) RETURN count(n) > 0 AS node_exists:result:True -2024-10-29 13:37:21,976 - lightrag - INFO - _do_upsert_edge:query: - MATCH (source:`CHRISTMAS FEAST`) +2024-10-30 05:13:15,048 - lightrag - INFO - _check_edge_existence:query:MATCH (a:`BOB CRATCHIT`)-[r]-(b:`THE FAMILY`) RETURN COUNT(r) > 0 AS edgeExists:result:False +2024-10-30 05:13:15,206 - lightrag - INFO - _check_node_exists:query:MATCH (n:`BOB CRATCHIT`) RETURN count(n) > 0 AS node_exists:result:True +2024-10-30 05:13:15,382 - lightrag - INFO - _check_node_exists:query:MATCH (n:`THE FAMILY`) RETURN count(n) > 0 AS node_exists:result:True +2024-10-30 05:13:15,567 - lightrag - INFO - _do_upsert_edge:query: + MATCH (source:`BOB CRATCHIT`) WITH source - MATCH (target:`CRATCHIT FAMILY`) + MATCH (target:`THE FAMILY`) MERGE (source)-[r:DIRECTED]->(target) SET r += $properties RETURN r :result:None -2024-10-29 13:37:22,173 - lightrag - INFO - _check_edge_existence:query:MATCH (a:`THE MINERS`)-[r]-(b:`THE OLD MAN`) RETURN COUNT(r) > 0 AS edgeExists:result:False -2024-10-29 13:37:22,349 - lightrag - INFO - _check_node_exists:query:MATCH (n:`THE MINERS`) RETURN count(n) > 0 AS node_exists:result:True -2024-10-29 13:37:22,524 - lightrag - INFO - _check_node_exists:query:MATCH (n:`THE OLD MAN`) RETURN count(n) > 0 AS node_exists:result:True -2024-10-29 13:37:22,710 - lightrag - INFO - _do_upsert_edge:query: - MATCH (source:`THE MINERS`) +2024-10-30 05:13:15,753 - lightrag - INFO - _check_edge_existence:query:MATCH (a:`BOB CRATCHIT`)-[r]-(b:`THE TANK`) RETURN COUNT(r) > 0 AS edgeExists:result:False +2024-10-30 05:13:15,912 - lightrag - INFO - _check_node_exists:query:MATCH (n:`BOB CRATCHIT`) RETURN count(n) > 0 AS node_exists:result:True +2024-10-30 05:13:16,084 - lightrag - INFO - _check_node_exists:query:MATCH (n:`THE TANK`) RETURN count(n) > 0 AS node_exists:result:True +2024-10-30 05:13:16,266 - lightrag - INFO - _do_upsert_edge:query: + MATCH (source:`BOB CRATCHIT`) WITH source - MATCH (target:`THE OLD MAN`) + MATCH (target:`THE TANK`) MERGE (source)-[r:DIRECTED]->(target) SET r += $properties RETURN r :result:None -2024-10-29 13:37:22,894 - lightrag - INFO - _check_edge_existence:query:MATCH (a:`CHRISTMAS`)-[r]-(b:`THE LAMPLIGHTER`) RETURN COUNT(r) > 0 AS edgeExists:result:False -2024-10-29 13:37:23,058 - lightrag - INFO - _check_node_exists:query:MATCH (n:`CHRISTMAS`) RETURN count(n) > 0 AS node_exists:result:True -2024-10-29 13:37:23,230 - lightrag - INFO - _check_node_exists:query:MATCH (n:`THE LAMPLIGHTER`) RETURN count(n) > 0 AS node_exists:result:True -2024-10-29 13:37:23,414 - lightrag - INFO - _do_upsert_edge:query: - MATCH (source:`CHRISTMAS`) +2024-10-30 05:13:16,448 - lightrag - INFO - _check_edge_existence:query:MATCH (a:`SCROOGE`)-[r]-(b:`SMOKING BISHOP`) RETURN COUNT(r) > 0 AS edgeExists:result:False +2024-10-30 05:13:16,608 - lightrag - INFO - _check_node_exists:query:MATCH (n:`SCROOGE`) RETURN count(n) > 0 AS node_exists:result:True +2024-10-30 05:13:16,778 - lightrag - INFO - _check_node_exists:query:MATCH (n:`SMOKING BISHOP`) RETURN count(n) > 0 AS node_exists:result:True +2024-10-30 05:13:16,961 - lightrag - INFO - _do_upsert_edge:query: + MATCH (source:`SCROOGE`) WITH source - MATCH (target:`THE LAMPLIGHTER`) + MATCH (target:`SMOKING BISHOP`) MERGE (source)-[r:DIRECTED]->(target) SET r += $properties RETURN r :result:None -2024-10-29 13:37:23,600 - lightrag - INFO - _check_edge_existence:query:MATCH (a:`THE LIGHTHOUSE`)-[r]-(b:`THE SHIP`) RETURN COUNT(r) > 0 AS edgeExists:result:False -2024-10-29 13:37:23,779 - lightrag - INFO - _check_node_exists:query:MATCH (n:`THE LIGHTHOUSE`) RETURN count(n) > 0 AS node_exists:result:True -2024-10-29 13:37:23,959 - lightrag - INFO - _check_node_exists:query:MATCH (n:`THE SHIP`) RETURN count(n) > 0 AS node_exists:result:True -2024-10-29 13:37:24,146 - lightrag - INFO - _do_upsert_edge:query: - MATCH (source:`THE LIGHTHOUSE`) - WITH source - MATCH (target:`THE SHIP`) - MERGE (source)-[r:DIRECTED]->(target) - SET r += $properties +2024-10-30 05:13:17,138 - lightrag - INFO - _check_edge_existence:query:MATCH (a:`PROJECT GUTENBERG`)-[r]-(b:`THE FOUNDATION`) RETURN COUNT(r) > 0 AS edgeExists:result:True +2024-10-30 05:13:17,269 - lightrag - INFO - get_edge:query: + MATCH (source:`PROJECT GUTENBERG`)-[r]-(target:`THE FOUNDATION`) RETURN r - :result:None -2024-10-29 13:37:24,328 - lightrag - INFO - _check_edge_existence:query:MATCH (a:`THE CHEERFUL COMPANY`)-[r]-(b:`THE OLD MAN`) RETURN COUNT(r) > 0 AS edgeExists:result:False -2024-10-29 13:37:24,501 - lightrag - INFO - _check_node_exists:query:MATCH (n:`THE CHEERFUL COMPANY`) RETURN count(n) > 0 AS node_exists:result:True -2024-10-29 13:37:24,675 - lightrag - INFO - _check_node_exists:query:MATCH (n:`THE OLD MAN`) RETURN count(n) > 0 AS node_exists:result:True -2024-10-29 13:37:24,867 - lightrag - INFO - _do_upsert_edge:query: - MATCH (source:`THE CHEERFUL COMPANY`) + :result:, ) type='DIRECTED' properties={'keywords': '"organizational governance, copyright management"', 'description': '"Project Gutenberg is operated and managed by The Foundation, which governs its copyright and licensing aspects."', 'weight': 9.0, 'source_id': 'chunk-194cd9680f4967f48bea89678f7ece21'}> +2024-10-30 05:13:17,408 - lightrag - INFO - _check_edge_existence:query:MATCH (a:`GENERAL TERMS OF USE`)-[r]-(b:`PROJECT GUTENBERG`) RETURN COUNT(r) > 0 AS edgeExists:result:False +2024-10-30 05:13:17,581 - lightrag - INFO - _check_node_exists:query:MATCH (n:`GENERAL TERMS OF USE`) RETURN count(n) > 0 AS node_exists:result:True +2024-10-30 05:13:17,754 - lightrag - INFO - _check_node_exists:query:MATCH (n:`PROJECT GUTENBERG`) RETURN count(n) > 0 AS node_exists:result:True +2024-10-30 05:13:17,940 - lightrag - INFO - _do_upsert_edge:query: + MATCH (source:`GENERAL TERMS OF USE`) WITH source - MATCH (target:`THE OLD MAN`) + MATCH (target:`PROJECT GUTENBERG`) MERGE (source)-[r:DIRECTED]->(target) SET r += $properties RETURN r :result:None -2024-10-29 13:37:25,056 - lightrag - INFO - _check_edge_existence:query:MATCH (a:`THE FROZEN MOOR`)-[r]-(b:`THE MINERS`) RETURN COUNT(r) > 0 AS edgeExists:result:False -2024-10-29 13:37:25,227 - lightrag - INFO - _check_node_exists:query:MATCH (n:`THE FROZEN MOOR`) RETURN count(n) > 0 AS node_exists:result:True -2024-10-29 13:37:25,418 - lightrag - INFO - _check_node_exists:query:MATCH (n:`THE MINERS`) RETURN count(n) > 0 AS node_exists:result:True -2024-10-29 13:37:25,606 - lightrag - INFO - _do_upsert_edge:query: - MATCH (source:`THE FROZEN MOOR`) - WITH source - MATCH (target:`THE MINERS`) - MERGE (source)-[r:DIRECTED]->(target) - SET r += $properties +2024-10-30 05:13:18,120 - lightrag - INFO - _check_edge_existence:query:MATCH (a:`PROJECT GUTENBERG`)-[r]-(b:`TRANSCRIBER'S NOTE`) RETURN COUNT(r) > 0 AS edgeExists:result:True +2024-10-30 05:13:18,252 - lightrag - INFO - get_edge:query: + MATCH (source:`PROJECT GUTENBERG`)-[r]-(target:`TRANSCRIBER'S NOTE`) RETURN r - :result:None -2024-10-29 13:37:25,792 - lightrag - INFO - _check_edge_existence:query:MATCH (a:`THE FROZEN MOOR`)-[r]-(b:`THE SETTING SUN`) RETURN COUNT(r) > 0 AS edgeExists:result:False -2024-10-29 13:37:25,971 - lightrag - INFO - _check_node_exists:query:MATCH (n:`THE FROZEN MOOR`) RETURN count(n) > 0 AS node_exists:result:True -2024-10-29 13:37:26,147 - lightrag - INFO - _check_node_exists:query:MATCH (n:`THE SETTING SUN`) RETURN count(n) > 0 AS node_exists:result:True -2024-10-29 13:37:26,339 - lightrag - INFO - _do_upsert_edge:query: - MATCH (source:`THE FROZEN MOOR`) + :result:, ) type='DIRECTED' properties={'keywords': '"contextual enhancement, editorial contribution"', 'description': '"The transcriber\'s note provides additional context about the eBook created and distributed by Project Gutenberg."', 'weight': 6.0, 'source_id': 'chunk-194cd9680f4967f48bea89678f7ece21'}> +2024-10-30 05:13:18,399 - lightrag - INFO - _check_edge_existence:query:MATCH (a:`THE FOUNDATION`)-[r]-(b:`UNITED STATES COPYRIGHT`) RETURN COUNT(r) > 0 AS edgeExists:result:False +2024-10-30 05:13:18,575 - lightrag - INFO - _check_node_exists:query:MATCH (n:`THE FOUNDATION`) RETURN count(n) > 0 AS node_exists:result:True +2024-10-30 05:13:18,747 - lightrag - INFO - _check_node_exists:query:MATCH (n:`UNITED STATES COPYRIGHT`) RETURN count(n) > 0 AS node_exists:result:True +2024-10-30 05:13:18,926 - lightrag - INFO - _do_upsert_edge:query: + MATCH (source:`THE FOUNDATION`) WITH source - MATCH (target:`THE SETTING SUN`) + MATCH (target:`UNITED STATES COPYRIGHT`) MERGE (source)-[r:DIRECTED]->(target) SET r += $properties RETURN r :result:None -2024-10-29 13:37:26,519 - lightrag - INFO - _check_edge_existence:query:MATCH (a:`THE CHEERFUL COMPANY`)-[r]-(b:`THE HUT`) RETURN COUNT(r) > 0 AS edgeExists:result:False -2024-10-29 13:37:26,695 - lightrag - INFO - _check_node_exists:query:MATCH (n:`THE CHEERFUL COMPANY`) RETURN count(n) > 0 AS node_exists:result:True -2024-10-29 13:37:26,876 - lightrag - INFO - _check_node_exists:query:MATCH (n:`THE HUT`) RETURN count(n) > 0 AS node_exists:result:True -2024-10-29 13:37:27,063 - lightrag - INFO - _do_upsert_edge:query: - MATCH (source:`THE CHEERFUL COMPANY`) +2024-10-30 05:13:19,104 - lightrag - INFO - _check_edge_existence:query:MATCH (a:`ELECTRONIC WORKS`)-[r]-(b:`PROJECT GUTENBERG`) RETURN COUNT(r) > 0 AS edgeExists:result:False +2024-10-30 05:13:19,274 - lightrag - INFO - _check_node_exists:query:MATCH (n:`ELECTRONIC WORKS`) RETURN count(n) > 0 AS node_exists:result:True +2024-10-30 05:13:19,447 - lightrag - INFO - _check_node_exists:query:MATCH (n:`PROJECT GUTENBERG`) RETURN count(n) > 0 AS node_exists:result:True +2024-10-30 05:13:19,631 - lightrag - INFO - _do_upsert_edge:query: + MATCH (source:`ELECTRONIC WORKS`) WITH source - MATCH (target:`THE HUT`) + MATCH (target:`PROJECT GUTENBERG`) MERGE (source)-[r:DIRECTED]->(target) SET r += $properties RETURN r :result:None -2024-10-29 13:37:27,248 - lightrag - INFO - _check_edge_existence:query:MATCH (a:`THE FROZEN MOOR`)-[r]-(b:`THE LIGHTHOUSE`) RETURN COUNT(r) > 0 AS edgeExists:result:False -2024-10-29 13:37:27,420 - lightrag - INFO - _check_node_exists:query:MATCH (n:`THE FROZEN MOOR`) RETURN count(n) > 0 AS node_exists:result:True -2024-10-29 13:37:27,597 - lightrag - INFO - _check_node_exists:query:MATCH (n:`THE LIGHTHOUSE`) RETURN count(n) > 0 AS node_exists:result:True -2024-10-29 13:37:27,782 - lightrag - INFO - _do_upsert_edge:query: - MATCH (source:`THE FROZEN MOOR`) +2024-10-30 05:13:19,812 - lightrag - INFO - _check_edge_existence:query:MATCH (a:`COPYRIGHT ROYALTIES`)-[r]-(b:`PROJECT GUTENBERG`) RETURN COUNT(r) > 0 AS edgeExists:result:False +2024-10-30 05:13:19,986 - lightrag - INFO - _check_node_exists:query:MATCH (n:`COPYRIGHT ROYALTIES`) RETURN count(n) > 0 AS node_exists:result:True +2024-10-30 05:13:20,143 - lightrag - INFO - _check_node_exists:query:MATCH (n:`PROJECT GUTENBERG`) RETURN count(n) > 0 AS node_exists:result:True +2024-10-30 05:13:20,322 - lightrag - INFO - _do_upsert_edge:query: + MATCH (source:`COPYRIGHT ROYALTIES`) WITH source - MATCH (target:`THE LIGHTHOUSE`) + MATCH (target:`PROJECT GUTENBERG`) MERGE (source)-[r:DIRECTED]->(target) SET r += $properties RETURN r :result:None -2024-10-29 13:37:27,970 - lightrag - INFO - _check_edge_existence:query:MATCH (a:`SCROOGE`)-[r]-(b:`SCROOGE'S NIECE`) RETURN COUNT(r) > 0 AS edgeExists:result:False -2024-10-29 13:37:28,134 - lightrag - INFO - _check_node_exists:query:MATCH (n:`SCROOGE`) RETURN count(n) > 0 AS node_exists:result:True -2024-10-29 13:37:28,305 - lightrag - INFO - _check_node_exists:query:MATCH (n:`SCROOGE'S NIECE`) RETURN count(n) > 0 AS node_exists:result:True -2024-10-29 13:37:28,486 - lightrag - INFO - _do_upsert_edge:query: - MATCH (source:`SCROOGE`) +2024-10-30 05:13:20,504 - lightrag - INFO - _check_edge_existence:query:MATCH (a:`GENERAL TERMS OF USE`)-[r]-(b:`TRADEMARK LICENSE`) RETURN COUNT(r) > 0 AS edgeExists:result:False +2024-10-30 05:13:20,675 - lightrag - INFO - _check_node_exists:query:MATCH (n:`GENERAL TERMS OF USE`) RETURN count(n) > 0 AS node_exists:result:True +2024-10-30 05:13:20,848 - lightrag - INFO - _check_node_exists:query:MATCH (n:`TRADEMARK LICENSE`) RETURN count(n) > 0 AS node_exists:result:True +2024-10-30 05:13:21,029 - lightrag - INFO - _do_upsert_edge:query: + MATCH (source:`GENERAL TERMS OF USE`) WITH source - MATCH (target:`SCROOGE'S NIECE`) + MATCH (target:`TRADEMARK LICENSE`) MERGE (source)-[r:DIRECTED]->(target) SET r += $properties RETURN r :result:None -2024-10-29 13:37:28,675 - lightrag - INFO - _check_edge_existence:query:MATCH (a:`SCROOGE'S NEPHEW`)-[r]-(b:`SCROOGE'S NIECE`) RETURN COUNT(r) > 0 AS edgeExists:result:False -2024-10-29 13:37:28,854 - lightrag - INFO - _check_node_exists:query:MATCH (n:`SCROOGE'S NEPHEW`) RETURN count(n) > 0 AS node_exists:result:True -2024-10-29 13:37:29,030 - lightrag - INFO - _check_node_exists:query:MATCH (n:`SCROOGE'S NIECE`) RETURN count(n) > 0 AS node_exists:result:True -2024-10-29 13:37:29,213 - lightrag - INFO - _do_upsert_edge:query: - MATCH (source:`SCROOGE'S NEPHEW`) - WITH source - MATCH (target:`SCROOGE'S NIECE`) - MERGE (source)-[r:DIRECTED]->(target) - SET r += $properties +2024-10-30 05:13:21,208 - lightrag - INFO - _check_edge_existence:query:MATCH (a:`PROJECT GUTENBERG LITERARY ARCHIVE FOUNDATION`)-[r]-(b:`PROJECT GUTENBERG`) RETURN COUNT(r) > 0 AS edgeExists:result:True +2024-10-30 05:13:21,338 - lightrag - INFO - get_edge:query: + MATCH (source:`PROJECT GUTENBERG LITERARY ARCHIVE FOUNDATION`)-[r]-(target:`PROJECT GUTENBERG`) RETURN r - :result:None -2024-10-29 13:37:29,407 - lightrag - INFO - _check_edge_existence:query:MATCH (a:`SCROOGE'S NIECE`)-[r]-(b:`TOPPER`) RETURN COUNT(r) > 0 AS edgeExists:result:False -2024-10-29 13:37:29,571 - lightrag - INFO - _check_node_exists:query:MATCH (n:`SCROOGE'S NIECE`) RETURN count(n) > 0 AS node_exists:result:True -2024-10-29 13:37:29,745 - lightrag - INFO - _check_node_exists:query:MATCH (n:`TOPPER`) RETURN count(n) > 0 AS node_exists:result:True -2024-10-29 13:37:29,940 - lightrag - INFO - _do_upsert_edge:query: - MATCH (source:`SCROOGE'S NIECE`) + :result:, ) type='DIRECTED' properties={'keywords': '"management, oversight"', 'description': '"The Project Gutenberg Literary Archive Foundation is responsible for managing the trademark of Project Gutenberg and ensuring compliance with its licensing terms."', 'weight': 8.0, 'source_id': 'chunk-af4ae173c561e4594c5aea96198cce9d'}> +2024-10-30 05:13:21,491 - lightrag - INFO - _check_edge_existence:query:MATCH (a:`PROJECT GUTENBERG`)-[r]-(b:`U.S. COPYRIGHT LAW`) RETURN COUNT(r) > 0 AS edgeExists:result:False +2024-10-30 05:13:21,648 - lightrag - INFO - _check_node_exists:query:MATCH (n:`PROJECT GUTENBERG`) RETURN count(n) > 0 AS node_exists:result:True +2024-10-30 05:13:21,821 - lightrag - INFO - _check_node_exists:query:MATCH (n:`U.S. COPYRIGHT LAW`) RETURN count(n) > 0 AS node_exists:result:True +2024-10-30 05:13:22,014 - lightrag - INFO - _do_upsert_edge:query: + MATCH (source:`PROJECT GUTENBERG`) WITH source - MATCH (target:`TOPPER`) + MATCH (target:`U.S. COPYRIGHT LAW`) MERGE (source)-[r:DIRECTED]->(target) SET r += $properties RETURN r :result:None -2024-10-29 13:37:30,125 - lightrag - INFO - _check_edge_existence:query:MATCH (a:`SCROOGE`)-[r]-(b:`TOPPER`) RETURN COUNT(r) > 0 AS edgeExists:result:False -2024-10-29 13:37:30,287 - lightrag - INFO - _check_node_exists:query:MATCH (n:`SCROOGE`) RETURN count(n) > 0 AS node_exists:result:True -2024-10-29 13:37:30,464 - lightrag - INFO - _check_node_exists:query:MATCH (n:`TOPPER`) RETURN count(n) > 0 AS node_exists:result:True -2024-10-29 13:37:30,649 - lightrag - INFO - _do_upsert_edge:query: - MATCH (source:`SCROOGE`) +2024-10-30 05:13:22,192 - lightrag - INFO - _check_edge_existence:query:MATCH (a:`EBOOK`)-[r]-(b:`PROJECT GUTENBERG`) RETURN COUNT(r) > 0 AS edgeExists:result:False +2024-10-30 05:13:22,362 - lightrag - INFO - _check_node_exists:query:MATCH (n:`EBOOK`) RETURN count(n) > 0 AS node_exists:result:True +2024-10-30 05:13:22,523 - lightrag - INFO - _check_node_exists:query:MATCH (n:`PROJECT GUTENBERG`) RETURN count(n) > 0 AS node_exists:result:True +2024-10-30 05:13:22,707 - lightrag - INFO - _do_upsert_edge:query: + MATCH (source:`EBOOK`) WITH source - MATCH (target:`TOPPER`) + MATCH (target:`PROJECT GUTENBERG`) MERGE (source)-[r:DIRECTED]->(target) SET r += $properties RETURN r :result:None -2024-10-29 13:37:30,836 - lightrag - INFO - _check_edge_existence:query:MATCH (a:`BLIND MAN'S-BUFF`)-[r]-(b:`TOPPER`) RETURN COUNT(r) > 0 AS edgeExists:result:False -2024-10-29 13:37:31,011 - lightrag - INFO - _check_node_exists:query:MATCH (n:`BLIND MAN'S-BUFF`) RETURN count(n) > 0 AS node_exists:result:True -2024-10-29 13:37:31,178 - lightrag - INFO - _check_node_exists:query:MATCH (n:`TOPPER`) RETURN count(n) > 0 AS node_exists:result:True -2024-10-29 13:37:31,366 - lightrag - INFO - _do_upsert_edge:query: - MATCH (source:`BLIND MAN'S-BUFF`) +2024-10-30 05:13:22,889 - lightrag - INFO - _check_edge_existence:query:MATCH (a:`PROJECT GUTENBERG`)-[r]-(b:`UNITED STATES`) RETURN COUNT(r) > 0 AS edgeExists:result:True +2024-10-30 05:13:23,023 - lightrag - INFO - get_edge:query: + MATCH (source:`PROJECT GUTENBERG`)-[r]-(target:`UNITED STATES`) + RETURN r + :result:, ) type='DIRECTED' properties={'keywords': '"legal framework, copyright law"', 'description': '"Project Gutenberg operates within the legal framework of the United States, influencing its copyright policies and user access."', 'weight': 8.0, 'source_id': 'chunk-194cd9680f4967f48bea89678f7ece21'}> +2024-10-30 05:13:23,160 - lightrag - INFO - _check_edge_existence:query:MATCH (a:`PROJECT GUTENBERG LITERARY ARCHIVE FOUNDATION`)-[r]-(b:`ROYALTY PAYMENTS`) RETURN COUNT(r) > 0 AS edgeExists:result:False +2024-10-30 05:13:23,328 - lightrag - INFO - _check_node_exists:query:MATCH (n:`PROJECT GUTENBERG LITERARY ARCHIVE FOUNDATION`) RETURN count(n) > 0 AS node_exists:result:True +2024-10-30 05:13:23,499 - lightrag - INFO - _check_node_exists:query:MATCH (n:`ROYALTY PAYMENTS`) RETURN count(n) > 0 AS node_exists:result:True +2024-10-30 05:13:23,679 - lightrag - INFO - _do_upsert_edge:query: + MATCH (source:`PROJECT GUTENBERG LITERARY ARCHIVE FOUNDATION`) WITH source - MATCH (target:`TOPPER`) + MATCH (target:`ROYALTY PAYMENTS`) MERGE (source)-[r:DIRECTED]->(target) SET r += $properties RETURN r :result:None -2024-10-29 13:37:31,543 - lightrag - INFO - _check_edge_existence:query:MATCH (a:`FORFEITS`)-[r]-(b:`SCROOGE'S NIECE`) RETURN COUNT(r) > 0 AS edgeExists:result:False -2024-10-29 13:37:31,714 - lightrag - INFO - _check_node_exists:query:MATCH (n:`FORFEITS`) RETURN count(n) > 0 AS node_exists:result:True -2024-10-29 13:37:31,886 - lightrag - INFO - _check_node_exists:query:MATCH (n:`SCROOGE'S NIECE`) RETURN count(n) > 0 AS node_exists:result:True -2024-10-29 13:37:32,070 - lightrag - INFO - _do_upsert_edge:query: - MATCH (source:`FORFEITS`) +2024-10-30 05:13:23,861 - lightrag - INFO - _check_edge_existence:query:MATCH (a:`COPYRIGHT HOLDER`)-[r]-(b:`PROJECT GUTENBERG`) RETURN COUNT(r) > 0 AS edgeExists:result:False +2024-10-30 05:13:24,026 - lightrag - INFO - _check_node_exists:query:MATCH (n:`COPYRIGHT HOLDER`) RETURN count(n) > 0 AS node_exists:result:True +2024-10-30 05:13:24,183 - lightrag - INFO - _check_node_exists:query:MATCH (n:`PROJECT GUTENBERG`) RETURN count(n) > 0 AS node_exists:result:True +2024-10-30 05:13:24,360 - lightrag - INFO - _do_upsert_edge:query: + MATCH (source:`COPYRIGHT HOLDER`) WITH source - MATCH (target:`SCROOGE'S NIECE`) + MATCH (target:`PROJECT GUTENBERG`) MERGE (source)-[r:DIRECTED]->(target) SET r += $properties RETURN r :result:None -2024-10-29 13:37:32,262 - lightrag - INFO - _check_edge_existence:query:MATCH (a:`THE PLUMP SISTER`)-[r]-(b:`TOPPER`) RETURN COUNT(r) > 0 AS edgeExists:result:False -2024-10-29 13:37:32,434 - lightrag - INFO - _check_node_exists:query:MATCH (n:`THE PLUMP SISTER`) RETURN count(n) > 0 AS node_exists:result:True -2024-10-29 13:37:32,597 - lightrag - INFO - _check_node_exists:query:MATCH (n:`TOPPER`) RETURN count(n) > 0 AS node_exists:result:True -2024-10-29 13:37:32,780 - lightrag - INFO - _do_upsert_edge:query: - MATCH (source:`THE PLUMP SISTER`) +2024-10-30 05:13:24,539 - lightrag - INFO - _check_edge_existence:query:MATCH (a:`DISTRIBUTION TERMS`)-[r]-(b:`PARAGRAPHS 1.E.1 THROUGH 1.E.9`) RETURN COUNT(r) > 0 AS edgeExists:result:False +2024-10-30 05:13:24,719 - lightrag - INFO - _check_node_exists:query:MATCH (n:`DISTRIBUTION TERMS`) RETURN count(n) > 0 AS node_exists:result:True +2024-10-30 05:13:24,888 - lightrag - INFO - _check_node_exists:query:MATCH (n:`PARAGRAPHS 1.E.1 THROUGH 1.E.9`) RETURN count(n) > 0 AS node_exists:result:True +2024-10-30 05:13:25,068 - lightrag - INFO - _do_upsert_edge:query: + MATCH (source:`DISTRIBUTION TERMS`) WITH source - MATCH (target:`TOPPER`) + MATCH (target:`PARAGRAPHS 1.E.1 THROUGH 1.E.9`) MERGE (source)-[r:DIRECTED]->(target) SET r += $properties RETURN r :result:None -2024-10-29 13:37:32,970 - lightrag - INFO - _check_edge_existence:query:MATCH (a:`BLIND MAN'S-BUFF`)-[r]-(b:`THE PLUMP SISTER`) RETURN COUNT(r) > 0 AS edgeExists:result:False -2024-10-29 13:37:33,144 - lightrag - INFO - _check_node_exists:query:MATCH (n:`BLIND MAN'S-BUFF`) RETURN count(n) > 0 AS node_exists:result:True -2024-10-29 13:37:33,321 - lightrag - INFO - _check_node_exists:query:MATCH (n:`THE PLUMP SISTER`) RETURN count(n) > 0 AS node_exists:result:True -2024-10-29 13:37:33,504 - lightrag - INFO - _do_upsert_edge:query: - MATCH (source:`BLIND MAN'S-BUFF`) +2024-10-30 05:13:25,249 - lightrag - INFO - _check_edge_existence:query:MATCH (a:`PROJECT GUTENBERG`)-[r]-(b:`VOLUNTEERS`) RETURN COUNT(r) > 0 AS edgeExists:result:False +2024-10-30 05:13:25,405 - lightrag - INFO - _check_node_exists:query:MATCH (n:`PROJECT GUTENBERG`) RETURN count(n) > 0 AS node_exists:result:True +2024-10-30 05:13:25,577 - lightrag - INFO - _check_node_exists:query:MATCH (n:`VOLUNTEERS`) RETURN count(n) > 0 AS node_exists:result:True +2024-10-30 05:13:25,761 - lightrag - INFO - _do_upsert_edge:query: + MATCH (source:`PROJECT GUTENBERG`) WITH source - MATCH (target:`THE PLUMP SISTER`) + MATCH (target:`VOLUNTEERS`) MERGE (source)-[r:DIRECTED]->(target) SET r += $properties RETURN r :result:None -2024-10-29 13:37:33,683 - lightrag - INFO - _check_edge_existence:query:MATCH (a:`GHOST`)-[r]-(b:`IGNORANCE`) RETURN COUNT(r) > 0 AS edgeExists:result:False -2024-10-29 13:37:33,858 - lightrag - INFO - _check_node_exists:query:MATCH (n:`GHOST`) RETURN count(n) > 0 AS node_exists:result:True -2024-10-29 13:37:34,035 - lightrag - INFO - _check_node_exists:query:MATCH (n:`IGNORANCE`) RETURN count(n) > 0 AS node_exists:result:True -2024-10-29 13:37:34,219 - lightrag - INFO - _do_upsert_edge:query: - MATCH (source:`GHOST`) +2024-10-30 05:13:25,949 - lightrag - INFO - _check_edge_existence:query:MATCH (a:`MISSISSIPPI`)-[r]-(b:`PROJECT GUTENBERG LITERARY ARCHIVE FOUNDATION`) RETURN COUNT(r) > 0 AS edgeExists:result:True +2024-10-30 05:13:26,089 - lightrag - INFO - get_edge:query: + MATCH (source:`MISSISSIPPI`)-[r]-(target:`PROJECT GUTENBERG LITERARY ARCHIVE FOUNDATION`) + RETURN r + :result:, ) type='DIRECTED' properties={'keywords': '"legal framework, organizational base""legal identity, location"', 'description': '"The Foundation is organized under the laws of Mississippi, establishing its legal framework.""The Project Gutenberg Literary Archive Foundation is organized under the laws of Mississippi, linking its operations to the state."', 'weight': 13.0, 'source_id': 'chunk-c51b3dc560b408cce12cdfe5c9c94f57chunk-85f77f5e3a9aba01133555a2d20e2fd8'}> +2024-10-30 05:13:26,229 - lightrag - INFO - _check_edge_existence:query:MATCH (a:`PROJECT GUTENBERG LITERARY ARCHIVE FOUNDATION`)-[r]-(b:`SALT LAKE CITY`) RETURN COUNT(r) > 0 AS edgeExists:result:True +2024-10-30 05:13:26,363 - lightrag - INFO - get_edge:query: + MATCH (source:`PROJECT GUTENBERG LITERARY ARCHIVE FOUNDATION`)-[r]-(target:`SALT LAKE CITY`) + RETURN r + :result:, ) type='DIRECTED' properties={'keywords': '"operational base, location""organizational presence, location"', 'description': '"The Foundation has its business office in Salt Lake City, establishing a geographic link to its operations.""The Project Gutenberg Literary Archive Foundation has its business office located in Salt Lake City, establishing a physical presence there."', 'weight': 15.0, 'source_id': 'chunk-c51b3dc560b408cce12cdfe5c9c94f57chunk-85f77f5e3a9aba01133555a2d20e2fd8'}> +2024-10-30 05:13:26,505 - lightrag - INFO - _check_edge_existence:query:MATCH (a:`DEFECTS`)-[r]-(b:`PROJECT GUTENBERG`) RETURN COUNT(r) > 0 AS edgeExists:result:False +2024-10-30 05:13:26,677 - lightrag - INFO - _check_node_exists:query:MATCH (n:`DEFECTS`) RETURN count(n) > 0 AS node_exists:result:True +2024-10-30 05:13:26,834 - lightrag - INFO - _check_node_exists:query:MATCH (n:`PROJECT GUTENBERG`) RETURN count(n) > 0 AS node_exists:result:True +2024-10-30 05:13:27,020 - lightrag - INFO - _do_upsert_edge:query: + MATCH (source:`DEFECTS`) WITH source - MATCH (target:`IGNORANCE`) + MATCH (target:`PROJECT GUTENBERG`) MERGE (source)-[r:DIRECTED]->(target) SET r += $properties RETURN r :result:None -2024-10-29 13:37:34,408 - lightrag - INFO - _check_edge_existence:query:MATCH (a:`GHOST`)-[r]-(b:`HUMANITY`) RETURN COUNT(r) > 0 AS edgeExists:result:False -2024-10-29 13:37:34,574 - lightrag - INFO - _check_node_exists:query:MATCH (n:`GHOST`) RETURN count(n) > 0 AS node_exists:result:True -2024-10-29 13:37:34,755 - lightrag - INFO - _check_node_exists:query:MATCH (n:`HUMANITY`) RETURN count(n) > 0 AS node_exists:result:True -2024-10-29 13:37:34,953 - lightrag - INFO - _do_upsert_edge:query: - MATCH (source:`GHOST`) +2024-10-30 05:13:27,199 - lightrag - INFO - _check_edge_existence:query:MATCH (a:`LEGAL FEES`)-[r]-(b:`VOLUNTEERS`) RETURN COUNT(r) > 0 AS edgeExists:result:False +2024-10-30 05:13:27,365 - lightrag - INFO - _check_node_exists:query:MATCH (n:`LEGAL FEES`) RETURN count(n) > 0 AS node_exists:result:True +2024-10-30 05:13:27,533 - lightrag - INFO - _check_node_exists:query:MATCH (n:`VOLUNTEERS`) RETURN count(n) > 0 AS node_exists:result:True +2024-10-30 05:13:27,714 - lightrag - INFO - _do_upsert_edge:query: + MATCH (source:`LEGAL FEES`) WITH source - MATCH (target:`HUMANITY`) + MATCH (target:`VOLUNTEERS`) MERGE (source)-[r:DIRECTED]->(target) SET r += $properties RETURN r :result:None -2024-10-29 13:37:35,143 - lightrag - INFO - _check_edge_existence:query:MATCH (a:`CHILDREN`)-[r]-(b:`SPIRIT`) RETURN COUNT(r) > 0 AS edgeExists:result:False -2024-10-29 13:37:35,326 - lightrag - INFO - _check_node_exists:query:MATCH (n:`CHILDREN`) RETURN count(n) > 0 AS node_exists:result:True -2024-10-29 13:37:35,496 - lightrag - INFO - _check_node_exists:query:MATCH (n:`SPIRIT`) RETURN count(n) > 0 AS node_exists:result:True -2024-10-29 13:37:35,678 - lightrag - INFO - _do_upsert_edge:query: - MATCH (source:`CHILDREN`) +2024-10-30 05:13:27,898 - lightrag - INFO - _check_edge_existence:query:MATCH (a:`CONTRIBUTIONS`)-[r]-(b:`PROJECT GUTENBERG LITERARY ARCHIVE FOUNDATION`) RETURN COUNT(r) > 0 AS edgeExists:result:True +2024-10-30 05:13:28,032 - lightrag - INFO - get_edge:query: + MATCH (source:`CONTRIBUTIONS`)-[r]-(target:`PROJECT GUTENBERG LITERARY ARCHIVE FOUNDATION`) + RETURN r + :result:, ) type='DIRECTED' properties={'keywords': '"funding, operational sustainability"', 'description': '"Contributions are essential for the operational viability of the Foundation, directly supporting its mission."', 'weight': 9.0, 'source_id': 'chunk-85f77f5e3a9aba01133555a2d20e2fd8'}> +2024-10-30 05:13:28,172 - lightrag - INFO - _check_edge_existence:query:MATCH (a:`PROJECT GUTENBERG LITERARY ARCHIVE FOUNDATION`)-[r]-(b:`U.S. INTERNAL REVENUE SERVICE`) RETURN COUNT(r) > 0 AS edgeExists:result:False +2024-10-30 05:13:28,343 - lightrag - INFO - _check_node_exists:query:MATCH (n:`PROJECT GUTENBERG LITERARY ARCHIVE FOUNDATION`) RETURN count(n) > 0 AS node_exists:result:True +2024-10-30 05:13:28,519 - lightrag - INFO - _check_node_exists:query:MATCH (n:`U.S. INTERNAL REVENUE SERVICE`) RETURN count(n) > 0 AS node_exists:result:True +2024-10-30 05:13:28,703 - lightrag - INFO - _do_upsert_edge:query: + MATCH (source:`PROJECT GUTENBERG LITERARY ARCHIVE FOUNDATION`) WITH source - MATCH (target:`SPIRIT`) + MATCH (target:`U.S. INTERNAL REVENUE SERVICE`) MERGE (source)-[r:DIRECTED]->(target) SET r += $properties RETURN r :result:None -2024-10-29 13:37:35,862 - lightrag - INFO - _check_edge_existence:query:MATCH (a:`SCROOGE`)-[r]-(b:`TWELFTH-NIGHT PARTY`) RETURN COUNT(r) > 0 AS edgeExists:result:False -2024-10-29 13:37:36,023 - lightrag - INFO - _check_node_exists:query:MATCH (n:`SCROOGE`) RETURN count(n) > 0 AS node_exists:result:True -2024-10-29 13:37:36,195 - lightrag - INFO - _check_node_exists:query:MATCH (n:`TWELFTH-NIGHT PARTY`) RETURN count(n) > 0 AS node_exists:result:True -2024-10-29 13:37:36,379 - lightrag - INFO - _do_upsert_edge:query: - MATCH (source:`SCROOGE`) +2024-10-30 05:13:28,886 - lightrag - INFO - _check_edge_existence:query:MATCH (a:`MICHAEL S. HART`)-[r]-(b:`PROJECT GUTENBERG LITERARY ARCHIVE FOUNDATION`) RETURN COUNT(r) > 0 AS edgeExists:result:True +2024-10-30 05:13:29,025 - lightrag - INFO - get_edge:query: + MATCH (source:`MICHAEL S. HART`)-[r]-(target:`PROJECT GUTENBERG LITERARY ARCHIVE FOUNDATION`) + RETURN r + :result:, ) type='DIRECTED' properties={'keywords': '"founder, mission creation"', 'description': '"Michael S. Hart is the originator of the Project Gutenberg concept, instrumental in establishing its mission and operations."', 'weight': 9.0, 'source_id': 'chunk-85f77f5e3a9aba01133555a2d20e2fd8'}> +2024-10-30 05:13:29,162 - lightrag - INFO - _check_edge_existence:query:MATCH (a:`DONATIONS`)-[r]-(b:`PROJECT GUTENBERG LITERARY ARCHIVE FOUNDATION`) RETURN COUNT(r) > 0 AS edgeExists:result:True +2024-10-30 05:13:29,294 - lightrag - INFO - get_edge:query: + MATCH (source:`DONATIONS`)-[r]-(target:`PROJECT GUTENBERG LITERARY ARCHIVE FOUNDATION`) + RETURN r + :result:, ) type='DIRECTED' properties={'keywords': '"financial support, project funding"', 'description': '"Donations are critical financial support for the Foundation, enabling its initiatives and projects."', 'weight': 9.0, 'source_id': 'chunk-85f77f5e3a9aba01133555a2d20e2fd8'}> +2024-10-30 05:13:29,432 - lightrag - INFO - _check_edge_existence:query:MATCH (a:`MICHAEL S. HART`)-[r]-(b:`PROJECT GUTENBERG EBOOKS`) RETURN COUNT(r) > 0 AS edgeExists:result:False +2024-10-30 05:13:29,606 - lightrag - INFO - _check_node_exists:query:MATCH (n:`MICHAEL S. HART`) RETURN count(n) > 0 AS node_exists:result:True +2024-10-30 05:13:29,775 - lightrag - INFO - _check_node_exists:query:MATCH (n:`PROJECT GUTENBERG EBOOKS`) RETURN count(n) > 0 AS node_exists:result:True +2024-10-30 05:13:29,961 - lightrag - INFO - _do_upsert_edge:query: + MATCH (source:`MICHAEL S. HART`) WITH source - MATCH (target:`TWELFTH-NIGHT PARTY`) + MATCH (target:`PROJECT GUTENBERG EBOOKS`) MERGE (source)-[r:DIRECTED]->(target) SET r += $properties RETURN r :result:None -2024-10-29 13:37:36,566 - lightrag - INFO - _check_edge_existence:query:MATCH (a:`ALMSHOUSE`)-[r]-(b:`SPIRIT`) RETURN COUNT(r) > 0 AS edgeExists:result:False -2024-10-29 13:37:36,744 - lightrag - INFO - _check_node_exists:query:MATCH (n:`ALMSHOUSE`) RETURN count(n) > 0 AS node_exists:result:True -2024-10-29 13:37:36,921 - lightrag - INFO - _check_node_exists:query:MATCH (n:`SPIRIT`) RETURN count(n) > 0 AS node_exists:result:True -2024-10-29 13:37:37,111 - lightrag - INFO - _do_upsert_edge:query: - MATCH (source:`ALMSHOUSE`) +2024-10-30 05:13:30,137 - lightrag - INFO - _check_edge_existence:query:MATCH (a:`501(C)(3)`)-[r]-(b:`PROJECT GUTENBERG LITERARY ARCHIVE FOUNDATION`) RETURN COUNT(r) > 0 AS edgeExists:result:False +2024-10-30 05:13:30,308 - lightrag - INFO - _check_node_exists:query:MATCH (n:`501(C)(3)`) RETURN count(n) > 0 AS node_exists:result:True +2024-10-30 05:13:30,469 - lightrag - INFO - _check_node_exists:query:MATCH (n:`PROJECT GUTENBERG LITERARY ARCHIVE FOUNDATION`) RETURN count(n) > 0 AS node_exists:result:True +2024-10-30 05:13:30,655 - lightrag - INFO - _do_upsert_edge:query: + MATCH (source:`501(C)(3)`) WITH source - MATCH (target:`SPIRIT`) + MATCH (target:`PROJECT GUTENBERG LITERARY ARCHIVE FOUNDATION`) MERGE (source)-[r:DIRECTED]->(target) SET r += $properties RETURN r :result:None -2024-10-29 13:37:37,297 - lightrag - INFO - _check_edge_existence:query:MATCH (a:`HOSPITAL`)-[r]-(b:`SPIRIT`) RETURN COUNT(r) > 0 AS edgeExists:result:False -2024-10-29 13:37:37,475 - lightrag - INFO - _check_node_exists:query:MATCH (n:`HOSPITAL`) RETURN count(n) > 0 AS node_exists:result:True -2024-10-29 13:37:37,638 - lightrag - INFO - _check_node_exists:query:MATCH (n:`SPIRIT`) RETURN count(n) > 0 AS node_exists:result:True -2024-10-29 13:37:37,825 - lightrag - INFO - _do_upsert_edge:query: - MATCH (source:`HOSPITAL`) +2024-10-30 05:13:30,833 - lightrag - INFO - _check_edge_existence:query:MATCH (a:`EIN 64-6221541`)-[r]-(b:`PROJECT GUTENBERG LITERARY ARCHIVE FOUNDATION`) RETURN COUNT(r) > 0 AS edgeExists:result:False +2024-10-30 05:13:31,004 - lightrag - INFO - _check_node_exists:query:MATCH (n:`EIN 64-6221541`) RETURN count(n) > 0 AS node_exists:result:True +2024-10-30 05:13:31,166 - lightrag - INFO - _check_node_exists:query:MATCH (n:`PROJECT GUTENBERG LITERARY ARCHIVE FOUNDATION`) RETURN count(n) > 0 AS node_exists:result:True +2024-10-30 05:13:31,363 - lightrag - INFO - _do_upsert_edge:query: + MATCH (source:`EIN 64-6221541`) WITH source - MATCH (target:`SPIRIT`) + MATCH (target:`PROJECT GUTENBERG LITERARY ARCHIVE FOUNDATION`) MERGE (source)-[r:DIRECTED]->(target) SET r += $properties RETURN r :result:None -2024-10-29 13:37:38,009 - lightrag - INFO - _check_edge_existence:query:MATCH (a:`GAOL`)-[r]-(b:`SPIRIT`) RETURN COUNT(r) > 0 AS edgeExists:result:False -2024-10-29 13:37:38,187 - lightrag - INFO - _check_node_exists:query:MATCH (n:`GAOL`) RETURN count(n) > 0 AS node_exists:result:True -2024-10-29 13:37:38,350 - lightrag - INFO - _check_node_exists:query:MATCH (n:`SPIRIT`) RETURN count(n) > 0 AS node_exists:result:True -2024-10-29 13:37:38,541 - lightrag - INFO - _do_upsert_edge:query: - MATCH (source:`GAOL`) +2024-10-30 05:13:31,578 - lightrag - INFO - _check_edge_existence:query:MATCH (a:`PROJECT GUTENBERG LITERARY ARCHIVE FOUNDATION`)-[r]-(b:`U.S. FEDERAL LAWS`) RETURN COUNT(r) > 0 AS edgeExists:result:False +2024-10-30 05:13:31,734 - lightrag - INFO - _check_node_exists:query:MATCH (n:`PROJECT GUTENBERG LITERARY ARCHIVE FOUNDATION`) RETURN count(n) > 0 AS node_exists:result:True +2024-10-30 05:13:31,914 - lightrag - INFO - _check_node_exists:query:MATCH (n:`U.S. FEDERAL LAWS`) RETURN count(n) > 0 AS node_exists:result:True +2024-10-30 05:13:32,108 - lightrag - INFO - _do_upsert_edge:query: + MATCH (source:`PROJECT GUTENBERG LITERARY ARCHIVE FOUNDATION`) WITH source - MATCH (target:`SPIRIT`) + MATCH (target:`U.S. FEDERAL LAWS`) MERGE (source)-[r:DIRECTED]->(target) SET r += $properties RETURN r :result:None -2024-10-29 13:37:38,728 - lightrag - INFO - _check_edge_existence:query:MATCH (a:`IGNORANCE`)-[r]-(b:`MAN`) RETURN COUNT(r) > 0 AS edgeExists:result:False -2024-10-29 13:37:38,908 - lightrag - INFO - _check_node_exists:query:MATCH (n:`IGNORANCE`) RETURN count(n) > 0 AS node_exists:result:True -2024-10-29 13:37:39,083 - lightrag - INFO - _check_node_exists:query:MATCH (n:`MAN`) RETURN count(n) > 0 AS node_exists:result:True -2024-10-29 13:37:39,275 - lightrag - INFO - _do_upsert_edge:query: - MATCH (source:`IGNORANCE`) +2024-10-30 05:13:32,285 - lightrag - INFO - _check_edge_existence:query:MATCH (a:`PROJECT GUTENBERG LITERARY ARCHIVE FOUNDATION`)-[r]-(b:`WEBSITE`) RETURN COUNT(r) > 0 AS edgeExists:result:True +2024-10-30 05:13:32,420 - lightrag - INFO - get_edge:query: + MATCH (source:`PROJECT GUTENBERG LITERARY ARCHIVE FOUNDATION`)-[r]-(target:`WEBSITE`) + RETURN r + :result:, ) type='DIRECTED' properties={'keywords': '"information dissemination, online presence"', 'description': '"The Foundation uses its website to facilitate donations and disseminate information about its services and eBooks."', 'weight': 8.0, 'source_id': 'chunk-85f77f5e3a9aba01133555a2d20e2fd8'}> +2024-10-30 05:13:32,558 - lightrag - INFO - _check_edge_existence:query:MATCH (a:`PROJECT GUTENBERG LITERARY ARCHIVE FOUNDATION`)-[r]-(b:`PUBLIC DOMAIN`) RETURN COUNT(r) > 0 AS edgeExists:result:False +2024-10-30 05:13:32,720 - lightrag - INFO - _check_node_exists:query:MATCH (n:`PROJECT GUTENBERG LITERARY ARCHIVE FOUNDATION`) RETURN count(n) > 0 AS node_exists:result:True +2024-10-30 05:13:32,891 - lightrag - INFO - _check_node_exists:query:MATCH (n:`PUBLIC DOMAIN`) RETURN count(n) > 0 AS node_exists:result:True +2024-10-30 05:13:33,078 - lightrag - INFO - _do_upsert_edge:query: + MATCH (source:`PROJECT GUTENBERG LITERARY ARCHIVE FOUNDATION`) WITH source - MATCH (target:`MAN`) + MATCH (target:`PUBLIC DOMAIN`) MERGE (source)-[r:DIRECTED]->(target) SET r += $properties RETURN r :result:None -2024-10-29 13:37:39,463 - lightrag - INFO - _check_edge_existence:query:MATCH (a:`MISERY'S REFUGE`)-[r]-(b:`SPIRIT`) RETURN COUNT(r) > 0 AS edgeExists:result:False -2024-10-29 13:37:39,642 - lightrag - INFO - _check_node_exists:query:MATCH (n:`MISERY'S REFUGE`) RETURN count(n) > 0 AS node_exists:result:True -2024-10-29 13:37:39,804 - lightrag - INFO - _check_node_exists:query:MATCH (n:`SPIRIT`) RETURN count(n) > 0 AS node_exists:result:True -2024-10-29 13:37:39,999 - lightrag - INFO - _do_upsert_edge:query: - MATCH (source:`MISERY'S REFUGE`) - WITH source - MATCH (target:`SPIRIT`) - MERGE (source)-[r:DIRECTED]->(target) - SET r += $properties - RETURN r - :result:None -2024-10-29 13:37:40,183 - lightrag - INFO - _check_edge_existence:query:MATCH (a:`IGNORANCE`)-[r]-(b:`SCROOGE`) RETURN COUNT(r) > 0 AS edgeExists:result:False -2024-10-29 13:37:40,361 - lightrag - INFO - _check_node_exists:query:MATCH (n:`IGNORANCE`) RETURN count(n) > 0 AS node_exists:result:True -2024-10-29 13:37:40,525 - lightrag - INFO - _check_node_exists:query:MATCH (n:`SCROOGE`) RETURN count(n) > 0 AS node_exists:result:True -2024-10-29 13:37:40,711 - lightrag - INFO - _do_upsert_edge:query: - MATCH (source:`IGNORANCE`) - WITH source - MATCH (target:`SCROOGE`) - MERGE (source)-[r:DIRECTED]->(target) - SET r += $properties - RETURN r - :result:None -2024-10-29 13:37:40,896 - lightrag - INFO - _check_edge_existence:query:MATCH (a:`SCROOGE`)-[r]-(b:`WANT`) RETURN COUNT(r) > 0 AS edgeExists:result:False -2024-10-29 13:37:41,061 - lightrag - INFO - _check_node_exists:query:MATCH (n:`SCROOGE`) RETURN count(n) > 0 AS node_exists:result:True -2024-10-29 13:37:41,237 - lightrag - INFO - _check_node_exists:query:MATCH (n:`WANT`) RETURN count(n) > 0 AS node_exists:result:True -2024-10-29 13:37:41,435 - lightrag - INFO - _do_upsert_edge:query: - MATCH (source:`SCROOGE`) - WITH source - MATCH (target:`WANT`) - MERGE (source)-[r:DIRECTED]->(target) - SET r += $properties - RETURN r - :result:None -2024-10-29 13:37:41,618 - lightrag - INFO - _check_edge_existence:query:MATCH (a:`GHOST OF CHRISTMAS YET TO COME`)-[r]-(b:`SPIRIT`) RETURN COUNT(r) > 0 AS edgeExists:result:False -2024-10-29 13:37:41,795 - lightrag - INFO - _check_node_exists:query:MATCH (n:`GHOST OF CHRISTMAS YET TO COME`) RETURN count(n) > 0 AS node_exists:result:True -2024-10-29 13:37:41,955 - lightrag - INFO - _check_node_exists:query:MATCH (n:`SPIRIT`) RETURN count(n) > 0 AS node_exists:result:True -2024-10-29 13:37:42,146 - lightrag - INFO - _do_upsert_edge:query: - MATCH (source:`GHOST OF CHRISTMAS YET TO COME`) - WITH source - MATCH (target:`SPIRIT`) - MERGE (source)-[r:DIRECTED]->(target) - SET r += $properties - RETURN r - :result:None -2024-10-29 13:37:42,330 - lightrag - INFO - _check_edge_existence:query:MATCH (a:`CHRISTMAS`)-[r]-(b:`THE GHOST`) RETURN COUNT(r) > 0 AS edgeExists:result:False -2024-10-29 13:37:42,498 - lightrag - INFO - _check_node_exists:query:MATCH (n:`CHRISTMAS`) RETURN count(n) > 0 AS node_exists:result:True -2024-10-29 13:37:42,671 - lightrag - INFO - _check_node_exists:query:MATCH (n:`THE GHOST`) RETURN count(n) > 0 AS node_exists:result:True -2024-10-29 13:37:42,862 - lightrag - INFO - _do_upsert_edge:query: - MATCH (source:`CHRISTMAS`) - WITH source - MATCH (target:`THE GHOST`) - MERGE (source)-[r:DIRECTED]->(target) - SET r += $properties - RETURN r - :result:None -2024-10-29 13:37:43,045 - lightrag - INFO - _check_edge_existence:query:MATCH (a:`JACOB MARLEY`)-[r]-(b:`THE FUTURE`) RETURN COUNT(r) > 0 AS edgeExists:result:False -2024-10-29 13:37:43,217 - lightrag - INFO - _check_node_exists:query:MATCH (n:`JACOB MARLEY`) RETURN count(n) > 0 AS node_exists:result:True -2024-10-29 13:37:43,400 - lightrag - INFO - _check_node_exists:query:MATCH (n:`THE FUTURE`) RETURN count(n) > 0 AS node_exists:result:True -2024-10-29 13:37:43,582 - lightrag - INFO - _do_upsert_edge:query: - MATCH (source:`JACOB MARLEY`) - WITH source - MATCH (target:`THE FUTURE`) - MERGE (source)-[r:DIRECTED]->(target) - SET r += $properties - RETURN r - :result:None -2024-10-29 13:37:43,763 - lightrag - INFO - _check_edge_existence:query:MATCH (a:`SCROOGE`)-[r]-(b:`THE BUSINESSMEN`) RETURN COUNT(r) > 0 AS edgeExists:result:False -2024-10-29 13:37:43,929 - lightrag - INFO - _check_node_exists:query:MATCH (n:`SCROOGE`) RETURN count(n) > 0 AS node_exists:result:True -2024-10-29 13:37:44,107 - lightrag - INFO - _check_node_exists:query:MATCH (n:`THE BUSINESSMEN`) RETURN count(n) > 0 AS node_exists:result:True -2024-10-29 13:37:44,292 - lightrag - INFO - _do_upsert_edge:query: - MATCH (source:`SCROOGE`) - WITH source - MATCH (target:`THE BUSINESSMEN`) - MERGE (source)-[r:DIRECTED]->(target) - SET r += $properties - RETURN r - :result:None -2024-10-29 13:37:44,483 - lightrag - INFO - _check_edge_existence:query:MATCH (a:`DEATH`)-[r]-(b:`THE FUTURE`) RETURN COUNT(r) > 0 AS edgeExists:result:False -2024-10-29 13:37:44,655 - lightrag - INFO - _check_node_exists:query:MATCH (n:`DEATH`) RETURN count(n) > 0 AS node_exists:result:True -2024-10-29 13:37:44,829 - lightrag - INFO - _check_node_exists:query:MATCH (n:`THE FUTURE`) RETURN count(n) > 0 AS node_exists:result:True -2024-10-29 13:37:45,021 - lightrag - INFO - _do_upsert_edge:query: - MATCH (source:`DEATH`) - WITH source - MATCH (target:`THE FUTURE`) - MERGE (source)-[r:DIRECTED]->(target) - SET r += $properties - RETURN r - :result:None -2024-10-29 13:37:45,204 - lightrag - INFO - _check_edge_existence:query:MATCH (a:`JACOB`)-[r]-(b:`SCROOGE`) RETURN COUNT(r) > 0 AS edgeExists:result:False -2024-10-29 13:37:45,380 - lightrag - INFO - _check_node_exists:query:MATCH (n:`JACOB`) RETURN count(n) > 0 AS node_exists:result:True -2024-10-29 13:37:45,547 - lightrag - INFO - _check_node_exists:query:MATCH (n:`SCROOGE`) RETURN count(n) > 0 AS node_exists:result:True -2024-10-29 13:37:45,729 - lightrag - INFO - _do_upsert_edge:query: - MATCH (source:`JACOB`) - WITH source - MATCH (target:`SCROOGE`) - MERGE (source)-[r:DIRECTED]->(target) - SET r += $properties - RETURN r - :result:None -2024-10-29 13:37:45,910 - lightrag - INFO - _check_edge_existence:query:MATCH (a:`SCROOGE`)-[r]-(b:`THE PHANTOM`) RETURN COUNT(r) > 0 AS edgeExists:result:False -2024-10-29 13:37:46,074 - lightrag - INFO - _check_node_exists:query:MATCH (n:`SCROOGE`) RETURN count(n) > 0 AS node_exists:result:True -2024-10-29 13:37:46,250 - lightrag - INFO - _check_node_exists:query:MATCH (n:`THE PHANTOM`) RETURN count(n) > 0 AS node_exists:result:True -2024-10-29 13:37:46,438 - lightrag - INFO - _do_upsert_edge:query: - MATCH (source:`SCROOGE`) - WITH source - MATCH (target:`THE PHANTOM`) - MERGE (source)-[r:DIRECTED]->(target) - SET r += $properties - RETURN r - :result:None -2024-10-29 13:37:46,617 - lightrag - INFO - _check_edge_existence:query:MATCH (a:`CHRISTMAS-TIME`)-[r]-(b:`THE PHANTOM`) RETURN COUNT(r) > 0 AS edgeExists:result:False -2024-10-29 13:37:46,789 - lightrag - INFO - _check_node_exists:query:MATCH (n:`CHRISTMAS-TIME`) RETURN count(n) > 0 AS node_exists:result:True -2024-10-29 13:37:46,968 - lightrag - INFO - _check_node_exists:query:MATCH (n:`THE PHANTOM`) RETURN count(n) > 0 AS node_exists:result:True -2024-10-29 13:37:47,159 - lightrag - INFO - _do_upsert_edge:query: - MATCH (source:`CHRISTMAS-TIME`) - WITH source - MATCH (target:`THE PHANTOM`) - MERGE (source)-[r:DIRECTED]->(target) - SET r += $properties - RETURN r - :result:None -2024-10-29 13:37:47,344 - lightrag - INFO - _check_edge_existence:query:MATCH (a:`BUSINESSMEN`)-[r]-(b:`SCROOGE`) RETURN COUNT(r) > 0 AS edgeExists:result:False -2024-10-29 13:37:47,524 - lightrag - INFO - _check_node_exists:query:MATCH (n:`BUSINESSMEN`) RETURN count(n) > 0 AS node_exists:result:True -2024-10-29 13:37:47,688 - lightrag - INFO - _check_node_exists:query:MATCH (n:`SCROOGE`) RETURN count(n) > 0 AS node_exists:result:True -2024-10-29 13:37:47,870 - lightrag - INFO - _do_upsert_edge:query: - MATCH (source:`BUSINESSMEN`) - WITH source - MATCH (target:`SCROOGE`) - MERGE (source)-[r:DIRECTED]->(target) - SET r += $properties - RETURN r - :result:None -2024-10-29 13:37:48,056 - lightrag - INFO - _check_edge_existence:query:MATCH (a:`SCROOGE`)-[r]-(b:`THE OBSCURE PART OF TOWN`) RETURN COUNT(r) > 0 AS edgeExists:result:False -2024-10-29 13:37:48,226 - lightrag - INFO - _check_node_exists:query:MATCH (n:`SCROOGE`) RETURN count(n) > 0 AS node_exists:result:True -2024-10-29 13:37:48,411 - lightrag - INFO - _check_node_exists:query:MATCH (n:`THE OBSCURE PART OF TOWN`) RETURN count(n) > 0 AS node_exists:result:True -2024-10-29 13:37:48,601 - lightrag - INFO - _do_upsert_edge:query: - MATCH (source:`SCROOGE`) - WITH source - MATCH (target:`THE OBSCURE PART OF TOWN`) - MERGE (source)-[r:DIRECTED]->(target) - SET r += $properties - RETURN r - :result:None -2024-10-29 13:37:48,784 - lightrag - INFO - _check_edge_existence:query:MATCH (a:`THE LOW-BROWED SHOP`)-[r]-(b:`THE OBSCURE PART OF TOWN`) RETURN COUNT(r) > 0 AS edgeExists:result:False -2024-10-29 13:37:48,959 - lightrag - INFO - _check_node_exists:query:MATCH (n:`THE LOW-BROWED SHOP`) RETURN count(n) > 0 AS node_exists:result:True -2024-10-29 13:37:49,139 - lightrag - INFO - _check_node_exists:query:MATCH (n:`THE OBSCURE PART OF TOWN`) RETURN count(n) > 0 AS node_exists:result:True -2024-10-29 13:37:49,327 - lightrag - INFO - _do_upsert_edge:query: - MATCH (source:`THE LOW-BROWED SHOP`) - WITH source - MATCH (target:`THE OBSCURE PART OF TOWN`) - MERGE (source)-[r:DIRECTED]->(target) - SET r += $properties - RETURN r - :result:None -2024-10-29 13:37:49,518 - lightrag - INFO - _check_edge_existence:query:MATCH (a:`GENTLEMAN WITH EXCRESCENCE`)-[r]-(b:`LARGE CHIN MAN`) RETURN COUNT(r) > 0 AS edgeExists:result:False -2024-10-29 13:37:49,693 - lightrag - INFO - _check_node_exists:query:MATCH (n:`GENTLEMAN WITH EXCRESCENCE`) RETURN count(n) > 0 AS node_exists:result:True -2024-10-29 13:37:49,868 - lightrag - INFO - _check_node_exists:query:MATCH (n:`LARGE CHIN MAN`) RETURN count(n) > 0 AS node_exists:result:True -2024-10-29 13:37:50,049 - lightrag - INFO - _do_upsert_edge:query: - MATCH (source:`GENTLEMAN WITH EXCRESCENCE`) - WITH source - MATCH (target:`LARGE CHIN MAN`) - MERGE (source)-[r:DIRECTED]->(target) - SET r += $properties - RETURN r - :result:None -2024-10-29 13:37:50,240 - lightrag - INFO - _check_edge_existence:query:MATCH (a:`GENTLEMAN WITH EXCRESCENCE`)-[r]-(b:`THE PARTY`) RETURN COUNT(r) > 0 AS edgeExists:result:False -2024-10-29 13:37:50,415 - lightrag - INFO - _check_node_exists:query:MATCH (n:`GENTLEMAN WITH EXCRESCENCE`) RETURN count(n) > 0 AS node_exists:result:True -2024-10-29 13:37:50,590 - lightrag - INFO - _check_node_exists:query:MATCH (n:`THE PARTY`) RETURN count(n) > 0 AS node_exists:result:True -2024-10-29 13:37:50,778 - lightrag - INFO - _do_upsert_edge:query: - MATCH (source:`GENTLEMAN WITH EXCRESCENCE`) - WITH source - MATCH (target:`THE PARTY`) - MERGE (source)-[r:DIRECTED]->(target) - SET r += $properties - RETURN r - :result:None -2024-10-29 13:37:50,961 - lightrag - INFO - _check_edge_existence:query:MATCH (a:`BUSINESSMEN`)-[r]-(b:`LARGE CHIN MAN`) RETURN COUNT(r) > 0 AS edgeExists:result:False -2024-10-29 13:37:51,138 - lightrag - INFO - _check_node_exists:query:MATCH (n:`BUSINESSMEN`) RETURN count(n) > 0 AS node_exists:result:True -2024-10-29 13:37:51,316 - lightrag - INFO - _check_node_exists:query:MATCH (n:`LARGE CHIN MAN`) RETURN count(n) > 0 AS node_exists:result:True -2024-10-29 13:37:51,498 - lightrag - INFO - _do_upsert_edge:query: - MATCH (source:`BUSINESSMEN`) - WITH source - MATCH (target:`LARGE CHIN MAN`) - MERGE (source)-[r:DIRECTED]->(target) - SET r += $properties - RETURN r - :result:None -2024-10-29 13:37:51,687 - lightrag - INFO - _check_edge_existence:query:MATCH (a:`SCROOGE`)-[r]-(b:`STREET`) RETURN COUNT(r) > 0 AS edgeExists:result:False -2024-10-29 13:37:51,847 - lightrag - INFO - _check_node_exists:query:MATCH (n:`SCROOGE`) RETURN count(n) > 0 AS node_exists:result:True -2024-10-29 13:37:52,023 - lightrag - INFO - _check_node_exists:query:MATCH (n:`STREET`) RETURN count(n) > 0 AS node_exists:result:True -2024-10-29 13:37:52,223 - lightrag - INFO - _do_upsert_edge:query: - MATCH (source:`SCROOGE`) - WITH source - MATCH (target:`STREET`) - MERGE (source)-[r:DIRECTED]->(target) - SET r += $properties - RETURN r - :result:None -2024-10-29 13:37:52,420 - lightrag - INFO - _check_edge_existence:query:MATCH (a:`MULTITUDES`)-[r]-(b:`SCROOGE`) RETURN COUNT(r) > 0 AS edgeExists:result:False -2024-10-29 13:37:52,595 - lightrag - INFO - _check_node_exists:query:MATCH (n:`MULTITUDES`) RETURN count(n) > 0 AS node_exists:result:True -2024-10-29 13:37:52,759 - lightrag - INFO - _check_node_exists:query:MATCH (n:`SCROOGE`) RETURN count(n) > 0 AS node_exists:result:True -2024-10-29 13:37:52,938 - lightrag - INFO - _do_upsert_edge:query: - MATCH (source:`MULTITUDES`) - WITH source - MATCH (target:`SCROOGE`) - MERGE (source)-[r:DIRECTED]->(target) - SET r += $properties - RETURN r - :result:None -2024-10-29 13:37:53,119 - lightrag - INFO - _check_edge_existence:query:MATCH (a:`SCROOGE`)-[r]-(b:`SHADOW OF HIMSELF`) RETURN COUNT(r) > 0 AS edgeExists:result:False -2024-10-29 13:37:53,283 - lightrag - INFO - _check_node_exists:query:MATCH (n:`SCROOGE`) RETURN count(n) > 0 AS node_exists:result:True -2024-10-29 13:37:53,462 - lightrag - INFO - _check_node_exists:query:MATCH (n:`SHADOW OF HIMSELF`) RETURN count(n) > 0 AS node_exists:result:True -2024-10-29 13:37:53,649 - lightrag - INFO - _do_upsert_edge:query: - MATCH (source:`SCROOGE`) - WITH source - MATCH (target:`SHADOW OF HIMSELF`) - MERGE (source)-[r:DIRECTED]->(target) - SET r += $properties - RETURN r - :result:None -2024-10-29 13:37:53,834 - lightrag - INFO - _check_edge_existence:query:MATCH (a:`BAD REPUTE`)-[r]-(b:`SCROOGE`) RETURN COUNT(r) > 0 AS edgeExists:result:False -2024-10-29 13:37:54,005 - lightrag - INFO - _check_node_exists:query:MATCH (n:`BAD REPUTE`) RETURN count(n) > 0 AS node_exists:result:True -2024-10-29 13:37:54,165 - lightrag - INFO - _check_node_exists:query:MATCH (n:`SCROOGE`) RETURN count(n) > 0 AS node_exists:result:True -2024-10-29 13:37:54,351 - lightrag - INFO - _do_upsert_edge:query: - MATCH (source:`BAD REPUTE`) - WITH source - MATCH (target:`SCROOGE`) - MERGE (source)-[r:DIRECTED]->(target) - SET r += $properties - RETURN r - :result:None -2024-10-29 13:37:54,537 - lightrag - INFO - _check_edge_existence:query:MATCH (a:`FROUZY CURTAINING`)-[r]-(b:`THE LOW-BROWED SHOP`) RETURN COUNT(r) > 0 AS edgeExists:result:False -2024-10-29 13:37:54,719 - lightrag - INFO - _check_node_exists:query:MATCH (n:`FROUZY CURTAINING`) RETURN count(n) > 0 AS node_exists:result:True -2024-10-29 13:37:54,894 - lightrag - INFO - _check_node_exists:query:MATCH (n:`THE LOW-BROWED SHOP`) RETURN count(n) > 0 AS node_exists:result:True -2024-10-29 13:37:55,079 - lightrag - INFO - _do_upsert_edge:query: - MATCH (source:`FROUZY CURTAINING`) - WITH source - MATCH (target:`THE LOW-BROWED SHOP`) - MERGE (source)-[r:DIRECTED]->(target) - SET r += $properties - RETURN r - :result:None -2024-10-29 13:37:55,272 - lightrag - INFO - _check_edge_existence:query:MATCH (a:`RUSTY KEYS, NAILS, CHAINS, HINGES`)-[r]-(b:`THE LOW-BROWED SHOP`) RETURN COUNT(r) > 0 AS edgeExists:result:False -2024-10-29 13:37:55,455 - lightrag - INFO - _check_node_exists:query:MATCH (n:`RUSTY KEYS, NAILS, CHAINS, HINGES`) RETURN count(n) > 0 AS node_exists:result:True -2024-10-29 13:37:55,624 - lightrag - INFO - _check_node_exists:query:MATCH (n:`THE LOW-BROWED SHOP`) RETURN count(n) > 0 AS node_exists:result:True -2024-10-29 13:37:55,811 - lightrag - INFO - _do_upsert_edge:query: - MATCH (source:`RUSTY KEYS, NAILS, CHAINS, HINGES`) - WITH source - MATCH (target:`THE LOW-BROWED SHOP`) - MERGE (source)-[r:DIRECTED]->(target) - SET r += $properties - RETURN r - :result:None -2024-10-29 13:37:55,996 - lightrag - INFO - _check_edge_existence:query:MATCH (a:`OLD JOE`)-[r]-(b:`THE WOMAN`) RETURN COUNT(r) > 0 AS edgeExists:result:False -2024-10-29 13:37:56,167 - lightrag - INFO - _check_node_exists:query:MATCH (n:`OLD JOE`) RETURN count(n) > 0 AS node_exists:result:True -2024-10-29 13:37:56,346 - lightrag - INFO - _check_node_exists:query:MATCH (n:`THE WOMAN`) RETURN count(n) > 0 AS node_exists:result:True -2024-10-29 13:37:56,534 - lightrag - INFO - _do_upsert_edge:query: - MATCH (source:`OLD JOE`) - WITH source - MATCH (target:`THE WOMAN`) - MERGE (source)-[r:DIRECTED]->(target) - SET r += $properties - RETURN r - :result:None -2024-10-29 13:37:56,726 - lightrag - INFO - _check_edge_existence:query:MATCH (a:`MRS. DILBER`)-[r]-(b:`OLD JOE`) RETURN COUNT(r) > 0 AS edgeExists:result:False -2024-10-29 13:37:56,897 - lightrag - INFO - _check_node_exists:query:MATCH (n:`MRS. DILBER`) RETURN count(n) > 0 AS node_exists:result:True -2024-10-29 13:37:57,073 - lightrag - INFO - _check_node_exists:query:MATCH (n:`OLD JOE`) RETURN count(n) > 0 AS node_exists:result:True -2024-10-29 13:37:57,257 - lightrag - INFO - _do_upsert_edge:query: - MATCH (source:`MRS. DILBER`) - WITH source - MATCH (target:`OLD JOE`) - MERGE (source)-[r:DIRECTED]->(target) - SET r += $properties - RETURN r - :result:None -2024-10-29 13:37:57,441 - lightrag - INFO - _check_edge_existence:query:MATCH (a:`MRS. DILBER`)-[r]-(b:`THE WOMAN`) RETURN COUNT(r) > 0 AS edgeExists:result:False -2024-10-29 13:37:57,618 - lightrag - INFO - _check_node_exists:query:MATCH (n:`MRS. DILBER`) RETURN count(n) > 0 AS node_exists:result:True -2024-10-29 13:37:57,797 - lightrag - INFO - _check_node_exists:query:MATCH (n:`THE WOMAN`) RETURN count(n) > 0 AS node_exists:result:True -2024-10-29 13:37:57,983 - lightrag - INFO - _do_upsert_edge:query: - MATCH (source:`MRS. DILBER`) - WITH source - MATCH (target:`THE WOMAN`) - MERGE (source)-[r:DIRECTED]->(target) - SET r += $properties - RETURN r - :result:None -2024-10-29 13:37:58,167 - lightrag - INFO - _check_edge_existence:query:MATCH (a:`OLD JOE`)-[r]-(b:`THE SHOP`) RETURN COUNT(r) > 0 AS edgeExists:result:False -2024-10-29 13:37:58,334 - lightrag - INFO - _check_node_exists:query:MATCH (n:`OLD JOE`) RETURN count(n) > 0 AS node_exists:result:True -2024-10-29 13:37:58,510 - lightrag - INFO - _check_node_exists:query:MATCH (n:`THE SHOP`) RETURN count(n) > 0 AS node_exists:result:True -2024-10-29 13:37:58,696 - lightrag - INFO - _do_upsert_edge:query: - MATCH (source:`OLD JOE`) - WITH source - MATCH (target:`THE SHOP`) - MERGE (source)-[r:DIRECTED]->(target) - SET r += $properties - RETURN r - :result:None -2024-10-29 13:37:58,878 - lightrag - INFO - _check_edge_existence:query:MATCH (a:`THE CHARWOMAN`)-[r]-(b:`THE UNDERTAKER'S MAN`) RETURN COUNT(r) > 0 AS edgeExists:result:False -2024-10-29 13:37:59,057 - lightrag - INFO - _check_node_exists:query:MATCH (n:`THE CHARWOMAN`) RETURN count(n) > 0 AS node_exists:result:True -2024-10-29 13:37:59,232 - lightrag - INFO - _check_node_exists:query:MATCH (n:`THE UNDERTAKER'S MAN`) RETURN count(n) > 0 AS node_exists:result:True -2024-10-29 13:37:59,421 - lightrag - INFO - _do_upsert_edge:query: - MATCH (source:`THE CHARWOMAN`) - WITH source - MATCH (target:`THE UNDERTAKER'S MAN`) - MERGE (source)-[r:DIRECTED]->(target) - SET r += $properties - RETURN r - :result:None -2024-10-29 13:37:59,610 - lightrag - INFO - _check_edge_existence:query:MATCH (a:`OLD JOE`)-[r]-(b:`THE DEAD MAN`) RETURN COUNT(r) > 0 AS edgeExists:result:False -2024-10-29 13:37:59,779 - lightrag - INFO - _check_node_exists:query:MATCH (n:`OLD JOE`) RETURN count(n) > 0 AS node_exists:result:True -2024-10-29 13:37:59,955 - lightrag - INFO - _check_node_exists:query:MATCH (n:`THE DEAD MAN`) RETURN count(n) > 0 AS node_exists:result:True -2024-10-29 13:38:00,136 - lightrag - INFO - _do_upsert_edge:query: - MATCH (source:`OLD JOE`) - WITH source - MATCH (target:`THE DEAD MAN`) - MERGE (source)-[r:DIRECTED]->(target) - SET r += $properties - RETURN r - :result:None -2024-10-29 13:38:00,326 - lightrag - INFO - _check_edge_existence:query:MATCH (a:`THE CHARWOMAN`)-[r]-(b:`THE WOMAN`) RETURN COUNT(r) > 0 AS edgeExists:result:False -2024-10-29 13:38:00,502 - lightrag - INFO - _check_node_exists:query:MATCH (n:`THE CHARWOMAN`) RETURN count(n) > 0 AS node_exists:result:True -2024-10-29 13:38:00,676 - lightrag - INFO - _check_node_exists:query:MATCH (n:`THE WOMAN`) RETURN count(n) > 0 AS node_exists:result:True -2024-10-29 13:38:00,869 - lightrag - INFO - _do_upsert_edge:query: - MATCH (source:`THE CHARWOMAN`) - WITH source - MATCH (target:`THE WOMAN`) - MERGE (source)-[r:DIRECTED]->(target) - SET r += $properties - RETURN r - :result:None -2024-10-29 13:38:01,055 - lightrag - INFO - _check_edge_existence:query:MATCH (a:`MRS. DILBER`)-[r]-(b:`THE DEAD MAN`) RETURN COUNT(r) > 0 AS edgeExists:result:False -2024-10-29 13:38:01,233 - lightrag - INFO - _check_node_exists:query:MATCH (n:`MRS. DILBER`) RETURN count(n) > 0 AS node_exists:result:True -2024-10-29 13:38:01,404 - lightrag - INFO - _check_node_exists:query:MATCH (n:`THE DEAD MAN`) RETURN count(n) > 0 AS node_exists:result:True -2024-10-29 13:38:01,591 - lightrag - INFO - _do_upsert_edge:query: - MATCH (source:`MRS. DILBER`) - WITH source - MATCH (target:`THE DEAD MAN`) - MERGE (source)-[r:DIRECTED]->(target) - SET r += $properties - RETURN r - :result:None -2024-10-29 13:38:01,781 - lightrag - INFO - _check_edge_existence:query:MATCH (a:`SCROOGE`)-[r]-(b:`THE DECEASED`) RETURN COUNT(r) > 0 AS edgeExists:result:False -2024-10-29 13:38:01,948 - lightrag - INFO - _check_node_exists:query:MATCH (n:`SCROOGE`) RETURN count(n) > 0 AS node_exists:result:True -2024-10-29 13:38:02,123 - lightrag - INFO - _check_node_exists:query:MATCH (n:`THE DECEASED`) RETURN count(n) > 0 AS node_exists:result:True -2024-10-29 13:38:02,311 - lightrag - INFO - _do_upsert_edge:query: - MATCH (source:`SCROOGE`) - WITH source - MATCH (target:`THE DECEASED`) - MERGE (source)-[r:DIRECTED]->(target) - SET r += $properties - RETURN r - :result:None -2024-10-29 13:38:02,500 - lightrag - INFO - _check_edge_existence:query:MATCH (a:`DEATH`)-[r]-(b:`SCROOGE`) RETURN COUNT(r) > 0 AS edgeExists:result:False -2024-10-29 13:38:02,681 - lightrag - INFO - _check_node_exists:query:MATCH (n:`DEATH`) RETURN count(n) > 0 AS node_exists:result:True -2024-10-29 13:38:02,846 - lightrag - INFO - _check_node_exists:query:MATCH (n:`SCROOGE`) RETURN count(n) > 0 AS node_exists:result:True -2024-10-29 13:38:03,031 - lightrag - INFO - _do_upsert_edge:query: - MATCH (source:`DEATH`) - WITH source - MATCH (target:`SCROOGE`) - MERGE (source)-[r:DIRECTED]->(target) - SET r += $properties - RETURN r - :result:None -2024-10-29 13:38:03,209 - lightrag - INFO - _check_edge_existence:query:MATCH (a:`JOE`)-[r]-(b:`THE DECEASED`) RETURN COUNT(r) > 0 AS edgeExists:result:False -2024-10-29 13:38:03,384 - lightrag - INFO - _check_node_exists:query:MATCH (n:`JOE`) RETURN count(n) > 0 AS node_exists:result:True -2024-10-29 13:38:03,566 - lightrag - INFO - _check_node_exists:query:MATCH (n:`THE DECEASED`) RETURN count(n) > 0 AS node_exists:result:True -2024-10-29 13:38:03,757 - lightrag - INFO - _do_upsert_edge:query: - MATCH (source:`JOE`) - WITH source - MATCH (target:`THE DECEASED`) - MERGE (source)-[r:DIRECTED]->(target) - SET r += $properties - RETURN r - :result:None -2024-10-29 13:38:03,941 - lightrag - INFO - _check_edge_existence:query:MATCH (a:`THE DECEASED`)-[r]-(b:`THE WOMAN`) RETURN COUNT(r) > 0 AS edgeExists:result:False -2024-10-29 13:38:04,103 - lightrag - INFO - _check_node_exists:query:MATCH (n:`THE DECEASED`) RETURN count(n) > 0 AS node_exists:result:True -2024-10-29 13:38:04,269 - lightrag - INFO - _check_node_exists:query:MATCH (n:`THE WOMAN`) RETURN count(n) > 0 AS node_exists:result:True -2024-10-29 13:38:04,464 - lightrag - INFO - _do_upsert_edge:query: - MATCH (source:`THE DECEASED`) - WITH source - MATCH (target:`THE WOMAN`) - MERGE (source)-[r:DIRECTED]->(target) - SET r += $properties - RETURN r - :result:None -2024-10-29 13:38:04,651 - lightrag - INFO - _check_edge_existence:query:MATCH (a:`SCROOGE`)-[r]-(b:`THE BLANKETS`) RETURN COUNT(r) > 0 AS edgeExists:result:False -2024-10-29 13:38:04,814 - lightrag - INFO - _check_node_exists:query:MATCH (n:`SCROOGE`) RETURN count(n) > 0 AS node_exists:result:True -2024-10-29 13:38:04,990 - lightrag - INFO - _check_node_exists:query:MATCH (n:`THE BLANKETS`) RETURN count(n) > 0 AS node_exists:result:True -2024-10-29 13:38:05,175 - lightrag - INFO - _do_upsert_edge:query: - MATCH (source:`SCROOGE`) - WITH source - MATCH (target:`THE BLANKETS`) - MERGE (source)-[r:DIRECTED]->(target) - SET r += $properties - RETURN r - :result:None -2024-10-29 13:38:05,358 - lightrag - INFO - _check_edge_existence:query:MATCH (a:`SCROOGE`)-[r]-(b:`THE BED`) RETURN COUNT(r) > 0 AS edgeExists:result:False -2024-10-29 13:38:05,526 - lightrag - INFO - _check_node_exists:query:MATCH (n:`SCROOGE`) RETURN count(n) > 0 AS node_exists:result:True -2024-10-29 13:38:05,701 - lightrag - INFO - _check_node_exists:query:MATCH (n:`THE BED`) RETURN count(n) > 0 AS node_exists:result:True -2024-10-29 13:38:05,895 - lightrag - INFO - _do_upsert_edge:query: - MATCH (source:`SCROOGE`) - WITH source - MATCH (target:`THE BED`) - MERGE (source)-[r:DIRECTED]->(target) - SET r += $properties - RETURN r - :result:None -2024-10-29 13:38:06,073 - lightrag - INFO - _check_edge_existence:query:MATCH (a:`BOB CRATCHIT`)-[r]-(b:`CAROLINE`) RETURN COUNT(r) > 0 AS edgeExists:result:False -2024-10-29 13:38:06,248 - lightrag - INFO - _check_node_exists:query:MATCH (n:`BOB CRATCHIT`) RETURN count(n) > 0 AS node_exists:result:True -2024-10-29 13:38:06,427 - lightrag - INFO - _check_node_exists:query:MATCH (n:`CAROLINE`) RETURN count(n) > 0 AS node_exists:result:True -2024-10-29 13:38:06,618 - lightrag - INFO - _do_upsert_edge:query: - MATCH (source:`BOB CRATCHIT`) - WITH source - MATCH (target:`CAROLINE`) - MERGE (source)-[r:DIRECTED]->(target) - SET r += $properties - RETURN r - :result:None -2024-10-29 13:38:06,805 - lightrag - INFO - _check_edge_existence:query:MATCH (a:`CRATCHIT FAMILY`)-[r]-(b:`DEATH`) RETURN COUNT(r) > 0 AS edgeExists:result:False -2024-10-29 13:38:06,985 - lightrag - INFO - _check_node_exists:query:MATCH (n:`CRATCHIT FAMILY`) RETURN count(n) > 0 AS node_exists:result:True -2024-10-29 13:38:07,162 - lightrag - INFO - _check_node_exists:query:MATCH (n:`DEATH`) RETURN count(n) > 0 AS node_exists:result:True -2024-10-29 13:38:07,347 - lightrag - INFO - _do_upsert_edge:query: - MATCH (source:`CRATCHIT FAMILY`) - WITH source - MATCH (target:`DEATH`) - MERGE (source)-[r:DIRECTED]->(target) - SET r += $properties - RETURN r - :result:None -2024-10-29 13:38:07,533 - lightrag - INFO - _check_edge_existence:query:MATCH (a:`CRATCHIT FAMILY`)-[r]-(b:`SCROOGE`) RETURN COUNT(r) > 0 AS edgeExists:result:False -2024-10-29 13:38:07,711 - lightrag - INFO - _check_node_exists:query:MATCH (n:`CRATCHIT FAMILY`) RETURN count(n) > 0 AS node_exists:result:True -2024-10-29 13:38:07,880 - lightrag - INFO - _check_node_exists:query:MATCH (n:`SCROOGE`) RETURN count(n) > 0 AS node_exists:result:True -2024-10-29 13:38:08,066 - lightrag - INFO - _do_upsert_edge:query: - MATCH (source:`CRATCHIT FAMILY`) - WITH source - MATCH (target:`SCROOGE`) - MERGE (source)-[r:DIRECTED]->(target) - SET r += $properties - RETURN r - :result:None -2024-10-29 13:38:08,250 - lightrag - INFO - _check_edge_existence:query:MATCH (a:`MRS. CRATCHIT`)-[r]-(b:`TINY TIM`) RETURN COUNT(r) > 0 AS edgeExists:result:False -2024-10-29 13:38:08,419 - lightrag - INFO - _check_node_exists:query:MATCH (n:`MRS. CRATCHIT`) RETURN count(n) > 0 AS node_exists:result:True -2024-10-29 13:38:08,594 - lightrag - INFO - _check_node_exists:query:MATCH (n:`TINY TIM`) RETURN count(n) > 0 AS node_exists:result:True -2024-10-29 13:38:08,782 - lightrag - INFO - _do_upsert_edge:query: - MATCH (source:`MRS. CRATCHIT`) - WITH source - MATCH (target:`TINY TIM`) - MERGE (source)-[r:DIRECTED]->(target) - SET r += $properties - RETURN r - :result:None -2024-10-29 13:38:08,971 - lightrag - INFO - _check_edge_existence:query:MATCH (a:`BOB CRATCHIT`)-[r]-(b:`MR. SCROOGE'S NEPHEW`) RETURN COUNT(r) > 0 AS edgeExists:result:False -2024-10-29 13:38:09,137 - lightrag - INFO - _check_node_exists:query:MATCH (n:`BOB CRATCHIT`) RETURN count(n) > 0 AS node_exists:result:True -2024-10-29 13:38:09,309 - lightrag - INFO - _check_node_exists:query:MATCH (n:`MR. SCROOGE'S NEPHEW`) RETURN count(n) > 0 AS node_exists:result:True -2024-10-29 13:38:09,501 - lightrag - INFO - _do_upsert_edge:query: - MATCH (source:`BOB CRATCHIT`) - WITH source - MATCH (target:`MR. SCROOGE'S NEPHEW`) - MERGE (source)-[r:DIRECTED]->(target) - SET r += $properties - RETURN r - :result:None -2024-10-29 13:38:09,684 - lightrag - INFO - _check_edge_existence:query:MATCH (a:`BOB CRATCHIT`)-[r]-(b:`PETER`) RETURN COUNT(r) > 0 AS edgeExists:result:False -2024-10-29 13:38:09,854 - lightrag - INFO - _check_node_exists:query:MATCH (n:`BOB CRATCHIT`) RETURN count(n) > 0 AS node_exists:result:True -2024-10-29 13:38:10,028 - lightrag - INFO - _check_node_exists:query:MATCH (n:`PETER`) RETURN count(n) > 0 AS node_exists:result:True -2024-10-29 13:38:10,215 - lightrag - INFO - _do_upsert_edge:query: - MATCH (source:`BOB CRATCHIT`) - WITH source - MATCH (target:`PETER`) - MERGE (source)-[r:DIRECTED]->(target) - SET r += $properties - RETURN r - :result:None -2024-10-29 13:38:10,393 - lightrag - INFO - _check_edge_existence:query:MATCH (a:`BOB`)-[r]-(b:`TINY TIM`) RETURN COUNT(r) > 0 AS edgeExists:result:False -2024-10-29 13:38:10,567 - lightrag - INFO - _check_node_exists:query:MATCH (n:`BOB`) RETURN count(n) > 0 AS node_exists:result:True -2024-10-29 13:38:10,739 - lightrag - INFO - _check_node_exists:query:MATCH (n:`TINY TIM`) RETURN count(n) > 0 AS node_exists:result:True -2024-10-29 13:38:10,930 - lightrag - INFO - _do_upsert_edge:query: - MATCH (source:`BOB`) - WITH source - MATCH (target:`TINY TIM`) - MERGE (source)-[r:DIRECTED]->(target) - SET r += $properties - RETURN r - :result:None -2024-10-29 13:38:11,113 - lightrag - INFO - _check_edge_existence:query:MATCH (a:`BOB`)-[r]-(b:`MRS. CRATCHIT`) RETURN COUNT(r) > 0 AS edgeExists:result:False -2024-10-29 13:38:11,286 - lightrag - INFO - _check_node_exists:query:MATCH (n:`BOB`) RETURN count(n) > 0 AS node_exists:result:True -2024-10-29 13:38:11,468 - lightrag - INFO - _check_node_exists:query:MATCH (n:`MRS. CRATCHIT`) RETURN count(n) > 0 AS node_exists:result:True -2024-10-29 13:38:11,653 - lightrag - INFO - _do_upsert_edge:query: - MATCH (source:`BOB`) - WITH source - MATCH (target:`MRS. CRATCHIT`) - MERGE (source)-[r:DIRECTED]->(target) - SET r += $properties - RETURN r - :result:None -2024-10-29 13:38:11,834 - lightrag - INFO - _check_edge_existence:query:MATCH (a:`SCROOGE`)-[r]-(b:`THE GHOST OF CHRISTMAS YET TO COME`) RETURN COUNT(r) > 0 AS edgeExists:result:False -2024-10-29 13:38:11,998 - lightrag - INFO - _check_node_exists:query:MATCH (n:`SCROOGE`) RETURN count(n) > 0 AS node_exists:result:True -2024-10-29 13:38:12,175 - lightrag - INFO - _check_node_exists:query:MATCH (n:`THE GHOST OF CHRISTMAS YET TO COME`) RETURN count(n) > 0 AS node_exists:result:True -2024-10-29 13:38:12,356 - lightrag - INFO - _do_upsert_edge:query: - MATCH (source:`SCROOGE`) - WITH source - MATCH (target:`THE GHOST OF CHRISTMAS YET TO COME`) - MERGE (source)-[r:DIRECTED]->(target) - SET r += $properties - RETURN r - :result:None -2024-10-29 13:38:12,540 - lightrag - INFO - _check_edge_existence:query:MATCH (a:`BOB`)-[r]-(b:`PETER CRATCHIT`) RETURN COUNT(r) > 0 AS edgeExists:result:False -2024-10-29 13:38:12,707 - lightrag - INFO - _check_node_exists:query:MATCH (n:`BOB`) RETURN count(n) > 0 AS node_exists:result:True -2024-10-29 13:38:12,882 - lightrag - INFO - _check_node_exists:query:MATCH (n:`PETER CRATCHIT`) RETURN count(n) > 0 AS node_exists:result:True -2024-10-29 13:38:13,075 - lightrag - INFO - _do_upsert_edge:query: - MATCH (source:`BOB`) - WITH source - MATCH (target:`PETER CRATCHIT`) - MERGE (source)-[r:DIRECTED]->(target) - SET r += $properties - RETURN r - :result:None -2024-10-29 13:38:13,256 - lightrag - INFO - _check_edge_existence:query:MATCH (a:`SCROOGE`)-[r]-(b:`THE GRAVE`) RETURN COUNT(r) > 0 AS edgeExists:result:False -2024-10-29 13:38:13,416 - lightrag - INFO - _check_node_exists:query:MATCH (n:`SCROOGE`) RETURN count(n) > 0 AS node_exists:result:True -2024-10-29 13:38:13,592 - lightrag - INFO - _check_node_exists:query:MATCH (n:`THE GRAVE`) RETURN count(n) > 0 AS node_exists:result:True -2024-10-29 13:38:13,781 - lightrag - INFO - _do_upsert_edge:query: - MATCH (source:`SCROOGE`) - WITH source - MATCH (target:`THE GRAVE`) - MERGE (source)-[r:DIRECTED]->(target) - SET r += $properties - RETURN r - :result:None -2024-10-29 13:38:13,964 - lightrag - INFO - _check_edge_existence:query:MATCH (a:`SCROOGE`)-[r]-(b:`THE PAST`) RETURN COUNT(r) > 0 AS edgeExists:result:False -2024-10-29 13:38:14,128 - lightrag - INFO - _check_node_exists:query:MATCH (n:`SCROOGE`) RETURN count(n) > 0 AS node_exists:result:True -2024-10-29 13:38:14,298 - lightrag - INFO - _check_node_exists:query:MATCH (n:`THE PAST`) RETURN count(n) > 0 AS node_exists:result:True -2024-10-29 13:38:14,480 - lightrag - INFO - _do_upsert_edge:query: - MATCH (source:`SCROOGE`) - WITH source - MATCH (target:`THE PAST`) - MERGE (source)-[r:DIRECTED]->(target) - SET r += $properties - RETURN r - :result:None -2024-10-29 13:38:14,668 - lightrag - INFO - _check_edge_existence:query:MATCH (a:`SCROOGE`)-[r]-(b:`THE PRESENT`) RETURN COUNT(r) > 0 AS edgeExists:result:False -2024-10-29 13:38:14,832 - lightrag - INFO - _check_node_exists:query:MATCH (n:`SCROOGE`) RETURN count(n) > 0 AS node_exists:result:True -2024-10-29 13:38:15,012 - lightrag - INFO - _check_node_exists:query:MATCH (n:`THE PRESENT`) RETURN count(n) > 0 AS node_exists:result:True -2024-10-29 13:38:15,196 - lightrag - INFO - _do_upsert_edge:query: - MATCH (source:`SCROOGE`) - WITH source - MATCH (target:`THE PRESENT`) - MERGE (source)-[r:DIRECTED]->(target) - SET r += $properties - RETURN r - :result:None -2024-10-29 13:38:15,380 - lightrag - INFO - _check_edge_existence:query:MATCH (a:`CHRISTMAS DAY`)-[r]-(b:`SCROOGE`) RETURN COUNT(r) > 0 AS edgeExists:result:False -2024-10-29 13:38:15,558 - lightrag - INFO - _check_node_exists:query:MATCH (n:`CHRISTMAS DAY`) RETURN count(n) > 0 AS node_exists:result:True -2024-10-29 13:38:15,719 - lightrag - INFO - _check_node_exists:query:MATCH (n:`SCROOGE`) RETURN count(n) > 0 AS node_exists:result:True -2024-10-29 13:38:15,906 - lightrag - INFO - _do_upsert_edge:query: - MATCH (source:`CHRISTMAS DAY`) - WITH source - MATCH (target:`SCROOGE`) - MERGE (source)-[r:DIRECTED]->(target) - SET r += $properties - RETURN r - :result:None -2024-10-29 13:38:16,095 - lightrag - INFO - _check_edge_existence:query:MATCH (a:`SCROOGE`)-[r]-(b:`THE POULTERER'S`) RETURN COUNT(r) > 0 AS edgeExists:result:False -2024-10-29 13:38:16,257 - lightrag - INFO - _check_node_exists:query:MATCH (n:`SCROOGE`) RETURN count(n) > 0 AS node_exists:result:True -2024-10-29 13:38:16,431 - lightrag - INFO - _check_node_exists:query:MATCH (n:`THE POULTERER'S`) RETURN count(n) > 0 AS node_exists:result:True -2024-10-29 13:38:16,622 - lightrag - INFO - _do_upsert_edge:query: - MATCH (source:`SCROOGE`) - WITH source - MATCH (target:`THE POULTERER'S`) - MERGE (source)-[r:DIRECTED]->(target) - SET r += $properties - RETURN r - :result:None -2024-10-29 13:38:16,808 - lightrag - INFO - _check_edge_existence:query:MATCH (a:`SCROOGE`)-[r]-(b:`THE SPIRITS`) RETURN COUNT(r) > 0 AS edgeExists:result:False -2024-10-29 13:38:16,973 - lightrag - INFO - _check_node_exists:query:MATCH (n:`SCROOGE`) RETURN count(n) > 0 AS node_exists:result:True -2024-10-29 13:38:17,154 - lightrag - INFO - _check_node_exists:query:MATCH (n:`THE SPIRITS`) RETURN count(n) > 0 AS node_exists:result:True -2024-10-29 13:38:17,341 - lightrag - INFO - _do_upsert_edge:query: - MATCH (source:`SCROOGE`) - WITH source - MATCH (target:`THE SPIRITS`) - MERGE (source)-[r:DIRECTED]->(target) - SET r += $properties - RETURN r - :result:None -2024-10-29 13:38:17,526 - lightrag - INFO - _check_edge_existence:query:MATCH (a:`SCROOGE`)-[r]-(b:`THE GHOST OF JACOB MARLEY`) RETURN COUNT(r) > 0 AS edgeExists:result:False -2024-10-29 13:38:17,693 - lightrag - INFO - _check_node_exists:query:MATCH (n:`SCROOGE`) RETURN count(n) > 0 AS node_exists:result:True -2024-10-29 13:38:17,871 - lightrag - INFO - _check_node_exists:query:MATCH (n:`THE GHOST OF JACOB MARLEY`) RETURN count(n) > 0 AS node_exists:result:True -2024-10-29 13:38:18,061 - lightrag - INFO - _do_upsert_edge:query: - MATCH (source:`SCROOGE`) - WITH source - MATCH (target:`THE GHOST OF JACOB MARLEY`) - MERGE (source)-[r:DIRECTED]->(target) - SET r += $properties - RETURN r - :result:None -2024-10-29 13:38:18,244 - lightrag - INFO - _check_edge_existence:query:MATCH (a:`SCROOGE`)-[r]-(b:`THE GHOST OF CHRISTMAS FUTURE`) RETURN COUNT(r) > 0 AS edgeExists:result:False -2024-10-29 13:38:18,409 - lightrag - INFO - _check_node_exists:query:MATCH (n:`SCROOGE`) RETURN count(n) > 0 AS node_exists:result:True -2024-10-29 13:38:18,584 - lightrag - INFO - _check_node_exists:query:MATCH (n:`THE GHOST OF CHRISTMAS FUTURE`) RETURN count(n) > 0 AS node_exists:result:True -2024-10-29 13:38:18,770 - lightrag - INFO - _do_upsert_edge:query: - MATCH (source:`SCROOGE`) - WITH source - MATCH (target:`THE GHOST OF CHRISTMAS FUTURE`) - MERGE (source)-[r:DIRECTED]->(target) - SET r += $properties - RETURN r - :result:None -2024-10-29 13:38:18,958 - lightrag - INFO - _check_edge_existence:query:MATCH (a:`SCROOGE`)-[r]-(b:`SUNDAY CLOTHES BOY`) RETURN COUNT(r) > 0 AS edgeExists:result:False -2024-10-29 13:38:19,124 - lightrag - INFO - _check_node_exists:query:MATCH (n:`SCROOGE`) RETURN count(n) > 0 AS node_exists:result:True -2024-10-29 13:38:19,296 - lightrag - INFO - _check_node_exists:query:MATCH (n:`SUNDAY CLOTHES BOY`) RETURN count(n) > 0 AS node_exists:result:True -2024-10-29 13:38:19,484 - lightrag - INFO - _do_upsert_edge:query: - MATCH (source:`SCROOGE`) - WITH source - MATCH (target:`SUNDAY CLOTHES BOY`) - MERGE (source)-[r:DIRECTED]->(target) - SET r += $properties - RETURN r - :result:None -2024-10-29 13:38:19,674 - lightrag - INFO - _check_edge_existence:query:MATCH (a:`SCROOGE`)-[r]-(b:`THE SITTING ROOM`) RETURN COUNT(r) > 0 AS edgeExists:result:False -2024-10-29 13:38:19,836 - lightrag - INFO - _check_node_exists:query:MATCH (n:`SCROOGE`) RETURN count(n) > 0 AS node_exists:result:True -2024-10-29 13:38:20,010 - lightrag - INFO - _check_node_exists:query:MATCH (n:`THE SITTING ROOM`) RETURN count(n) > 0 AS node_exists:result:True -2024-10-29 13:38:20,198 - lightrag - INFO - _do_upsert_edge:query: - MATCH (source:`SCROOGE`) - WITH source - MATCH (target:`THE SITTING ROOM`) - MERGE (source)-[r:DIRECTED]->(target) - SET r += $properties - RETURN r - :result:None -2024-10-29 13:38:20,381 - lightrag - INFO - _check_edge_existence:query:MATCH (a:`BOB`)-[r]-(b:`SCROOGE`) RETURN COUNT(r) > 0 AS edgeExists:result:False -2024-10-29 13:38:20,547 - lightrag - INFO - _check_node_exists:query:MATCH (n:`BOB`) RETURN count(n) > 0 AS node_exists:result:True -2024-10-29 13:38:20,711 - lightrag - INFO - _check_node_exists:query:MATCH (n:`SCROOGE`) RETURN count(n) > 0 AS node_exists:result:True -2024-10-29 13:38:20,906 - lightrag - INFO - _do_upsert_edge:query: - MATCH (source:`BOB`) - WITH source - MATCH (target:`SCROOGE`) - MERGE (source)-[r:DIRECTED]->(target) - SET r += $properties - RETURN r - :result:None -2024-10-29 13:38:21,094 - lightrag - INFO - _check_edge_existence:query:MATCH (a:`CAMDEN TOWN`)-[r]-(b:`SCROOGE`) RETURN COUNT(r) > 0 AS edgeExists:result:False -2024-10-29 13:38:21,271 - lightrag - INFO - _check_node_exists:query:MATCH (n:`CAMDEN TOWN`) RETURN count(n) > 0 AS node_exists:result:True -2024-10-29 13:38:21,433 - lightrag - INFO - _check_node_exists:query:MATCH (n:`SCROOGE`) RETURN count(n) > 0 AS node_exists:result:True -2024-10-29 13:38:21,617 - lightrag - INFO - _do_upsert_edge:query: - MATCH (source:`CAMDEN TOWN`) - WITH source - MATCH (target:`SCROOGE`) - MERGE (source)-[r:DIRECTED]->(target) - SET r += $properties - RETURN r - :result:None -2024-10-29 13:38:21,808 - lightrag - INFO - _check_edge_existence:query:MATCH (a:`SCROOGE`)-[r]-(b:`THE TURKEY`) RETURN COUNT(r) > 0 AS edgeExists:result:False -2024-10-29 13:38:21,973 - lightrag - INFO - _check_node_exists:query:MATCH (n:`SCROOGE`) RETURN count(n) > 0 AS node_exists:result:True -2024-10-29 13:38:22,159 - lightrag - INFO - _check_node_exists:query:MATCH (n:`THE TURKEY`) RETURN count(n) > 0 AS node_exists:result:True -2024-10-29 13:38:22,339 - lightrag - INFO - _do_upsert_edge:query: - MATCH (source:`SCROOGE`) - WITH source - MATCH (target:`THE TURKEY`) - MERGE (source)-[r:DIRECTED]->(target) - SET r += $properties - RETURN r - :result:None -2024-10-29 13:38:22,524 - lightrag - INFO - _check_edge_existence:query:MATCH (a:`SCROOGE`)-[r]-(b:`THE BOY`) RETURN COUNT(r) > 0 AS edgeExists:result:False -2024-10-29 13:38:22,688 - lightrag - INFO - _check_node_exists:query:MATCH (n:`SCROOGE`) RETURN count(n) > 0 AS node_exists:result:True -2024-10-29 13:38:22,865 - lightrag - INFO - _check_node_exists:query:MATCH (n:`THE BOY`) RETURN count(n) > 0 AS node_exists:result:True -2024-10-29 13:38:23,050 - lightrag - INFO - _do_upsert_edge:query: - MATCH (source:`SCROOGE`) - WITH source - MATCH (target:`THE BOY`) - MERGE (source)-[r:DIRECTED]->(target) - SET r += $properties - RETURN r - :result:None -2024-10-29 13:38:23,236 - lightrag - INFO - _check_edge_existence:query:MATCH (a:`SCROOGE`)-[r]-(b:`THE GIRL`) RETURN COUNT(r) > 0 AS edgeExists:result:False -2024-10-29 13:38:23,401 - lightrag - INFO - _check_node_exists:query:MATCH (n:`SCROOGE`) RETURN count(n) > 0 AS node_exists:result:True -2024-10-29 13:38:23,571 - lightrag - INFO - _check_node_exists:query:MATCH (n:`THE GIRL`) RETURN count(n) > 0 AS node_exists:result:True -2024-10-29 13:38:23,752 - lightrag - INFO - _do_upsert_edge:query: - MATCH (source:`SCROOGE`) - WITH source - MATCH (target:`THE GIRL`) - MERGE (source)-[r:DIRECTED]->(target) - SET r += $properties - RETURN r - :result:None -2024-10-29 13:38:23,938 - lightrag - INFO - _check_edge_existence:query:MATCH (a:`SCROOGE`)-[r]-(b:`THE CHURCH`) RETURN COUNT(r) > 0 AS edgeExists:result:False -2024-10-29 13:38:24,105 - lightrag - INFO - _check_node_exists:query:MATCH (n:`SCROOGE`) RETURN count(n) > 0 AS node_exists:result:True -2024-10-29 13:38:24,281 - lightrag - INFO - _check_node_exists:query:MATCH (n:`THE CHURCH`) RETURN count(n) > 0 AS node_exists:result:True -2024-10-29 13:38:24,467 - lightrag - INFO - _do_upsert_edge:query: - MATCH (source:`SCROOGE`) - WITH source - MATCH (target:`THE CHURCH`) - MERGE (source)-[r:DIRECTED]->(target) - SET r += $properties - RETURN r - :result:None -2024-10-29 13:38:24,653 - lightrag - INFO - _check_edge_existence:query:MATCH (a:`SCROOGE`)-[r]-(b:`THE PEOPLE`) RETURN COUNT(r) > 0 AS edgeExists:result:False -2024-10-29 13:38:24,817 - lightrag - INFO - _check_node_exists:query:MATCH (n:`SCROOGE`) RETURN count(n) > 0 AS node_exists:result:True -2024-10-29 13:38:24,992 - lightrag - INFO - _check_node_exists:query:MATCH (n:`THE PEOPLE`) RETURN count(n) > 0 AS node_exists:result:True -2024-10-29 13:38:25,177 - lightrag - INFO - _do_upsert_edge:query: - MATCH (source:`SCROOGE`) - WITH source - MATCH (target:`THE PEOPLE`) - MERGE (source)-[r:DIRECTED]->(target) - SET r += $properties - RETURN r - :result:None -2024-10-29 13:38:25,378 - lightrag - INFO - _check_edge_existence:query:MATCH (a:`PROJECT GUTENBERG`)-[r]-(b:`THE FOUNDATION`) RETURN COUNT(r) > 0 AS edgeExists:result:False -2024-10-29 13:38:25,556 - lightrag - INFO - _check_node_exists:query:MATCH (n:`PROJECT GUTENBERG`) RETURN count(n) > 0 AS node_exists:result:True -2024-10-29 13:38:25,733 - lightrag - INFO - _check_node_exists:query:MATCH (n:`THE FOUNDATION`) RETURN count(n) > 0 AS node_exists:result:True -2024-10-29 13:38:25,921 - lightrag - INFO - _do_upsert_edge:query: - MATCH (source:`PROJECT GUTENBERG`) - WITH source - MATCH (target:`THE FOUNDATION`) - MERGE (source)-[r:DIRECTED]->(target) - SET r += $properties - RETURN r - :result:None -2024-10-29 13:38:26,109 - lightrag - INFO - _check_edge_existence:query:MATCH (a:`PROJECT GUTENBERG`)-[r]-(b:`UNITED STATES`) RETURN COUNT(r) > 0 AS edgeExists:result:False -2024-10-29 13:38:26,285 - lightrag - INFO - _check_node_exists:query:MATCH (n:`PROJECT GUTENBERG`) RETURN count(n) > 0 AS node_exists:result:True -2024-10-29 13:38:26,459 - lightrag - INFO - _check_node_exists:query:MATCH (n:`UNITED STATES`) RETURN count(n) > 0 AS node_exists:result:True -2024-10-29 13:38:26,640 - lightrag - INFO - _do_upsert_edge:query: - MATCH (source:`PROJECT GUTENBERG`) - WITH source - MATCH (target:`UNITED STATES`) - MERGE (source)-[r:DIRECTED]->(target) - SET r += $properties - RETURN r - :result:None -2024-10-29 13:38:26,828 - lightrag - INFO - _check_edge_existence:query:MATCH (a:`PROJECT GUTENBERG LICENSE`)-[r]-(b:`THE FOUNDATION`) RETURN COUNT(r) > 0 AS edgeExists:result:False -2024-10-29 13:38:27,006 - lightrag - INFO - _check_node_exists:query:MATCH (n:`PROJECT GUTENBERG LICENSE`) RETURN count(n) > 0 AS node_exists:result:True -2024-10-29 13:38:27,176 - lightrag - INFO - _check_node_exists:query:MATCH (n:`THE FOUNDATION`) RETURN count(n) > 0 AS node_exists:result:True -2024-10-29 13:38:27,364 - lightrag - INFO - _do_upsert_edge:query: - MATCH (source:`PROJECT GUTENBERG LICENSE`) - WITH source - MATCH (target:`THE FOUNDATION`) - MERGE (source)-[r:DIRECTED]->(target) - SET r += $properties - RETURN r - :result:None -2024-10-29 13:38:27,546 - lightrag - INFO - _check_edge_existence:query:MATCH (a:`PROJECT GUTENBERG LICENSE`)-[r]-(b:`UNITED STATES`) RETURN COUNT(r) > 0 AS edgeExists:result:False -2024-10-29 13:38:27,720 - lightrag - INFO - _check_node_exists:query:MATCH (n:`PROJECT GUTENBERG LICENSE`) RETURN count(n) > 0 AS node_exists:result:True -2024-10-29 13:38:27,895 - lightrag - INFO - _check_node_exists:query:MATCH (n:`UNITED STATES`) RETURN count(n) > 0 AS node_exists:result:True -2024-10-29 13:38:28,080 - lightrag - INFO - _do_upsert_edge:query: - MATCH (source:`PROJECT GUTENBERG LICENSE`) - WITH source - MATCH (target:`UNITED STATES`) - MERGE (source)-[r:DIRECTED]->(target) - SET r += $properties - RETURN r - :result:None -2024-10-29 13:38:28,267 - lightrag - INFO - _check_edge_existence:query:MATCH (a:`PROJECT GUTENBERG`)-[r]-(b:`TRANSCRIBER'S NOTE`) RETURN COUNT(r) > 0 AS edgeExists:result:False -2024-10-29 13:38:28,431 - lightrag - INFO - _check_node_exists:query:MATCH (n:`PROJECT GUTENBERG`) RETURN count(n) > 0 AS node_exists:result:True -2024-10-29 13:38:28,605 - lightrag - INFO - _check_node_exists:query:MATCH (n:`TRANSCRIBER'S NOTE`) RETURN count(n) > 0 AS node_exists:result:True -2024-10-29 13:38:28,796 - lightrag - INFO - _do_upsert_edge:query: - MATCH (source:`PROJECT GUTENBERG`) - WITH source - MATCH (target:`TRANSCRIBER'S NOTE`) - MERGE (source)-[r:DIRECTED]->(target) - SET r += $properties - RETURN r - :result:None -2024-10-29 13:38:28,993 - lightrag - INFO - _check_edge_existence:query:MATCH (a:`OLD EDITIONS`)-[r]-(b:`PROJECT GUTENBERG`) RETURN COUNT(r) > 0 AS edgeExists:result:False -2024-10-29 13:38:29,168 - lightrag - INFO - _check_node_exists:query:MATCH (n:`OLD EDITIONS`) RETURN count(n) > 0 AS node_exists:result:True -2024-10-29 13:38:29,338 - lightrag - INFO - _check_node_exists:query:MATCH (n:`PROJECT GUTENBERG`) RETURN count(n) > 0 AS node_exists:result:True -2024-10-29 13:38:29,526 - lightrag - INFO - _do_upsert_edge:query: - MATCH (source:`OLD EDITIONS`) - WITH source - MATCH (target:`PROJECT GUTENBERG`) - MERGE (source)-[r:DIRECTED]->(target) - SET r += $properties - RETURN r - :result:None -2024-10-29 13:38:29,709 - lightrag - INFO - _check_edge_existence:query:MATCH (a:`PROJECT GUTENBERG LICENSE`)-[r]-(b:`SPECIAL RULES`) RETURN COUNT(r) > 0 AS edgeExists:result:False -2024-10-29 13:38:29,885 - lightrag - INFO - _check_node_exists:query:MATCH (n:`PROJECT GUTENBERG LICENSE`) RETURN count(n) > 0 AS node_exists:result:True -2024-10-29 13:38:30,055 - lightrag - INFO - _check_node_exists:query:MATCH (n:`SPECIAL RULES`) RETURN count(n) > 0 AS node_exists:result:True -2024-10-29 13:38:30,241 - lightrag - INFO - _do_upsert_edge:query: - MATCH (source:`PROJECT GUTENBERG LICENSE`) - WITH source - MATCH (target:`SPECIAL RULES`) - MERGE (source)-[r:DIRECTED]->(target) - SET r += $properties - RETURN r - :result:None -2024-10-29 13:38:30,433 - lightrag - INFO - _check_edge_existence:query:MATCH (a:`GENERAL TERMS OF USE`)-[r]-(b:`PROJECT GUTENBERG LICENSE`) RETURN COUNT(r) > 0 AS edgeExists:result:False -2024-10-29 13:38:30,606 - lightrag - INFO - _check_node_exists:query:MATCH (n:`GENERAL TERMS OF USE`) RETURN count(n) > 0 AS node_exists:result:True -2024-10-29 13:38:30,765 - lightrag - INFO - _check_node_exists:query:MATCH (n:`PROJECT GUTENBERG LICENSE`) RETURN count(n) > 0 AS node_exists:result:True -2024-10-29 13:38:30,951 - lightrag - INFO - _do_upsert_edge:query: - MATCH (source:`GENERAL TERMS OF USE`) - WITH source - MATCH (target:`PROJECT GUTENBERG LICENSE`) - MERGE (source)-[r:DIRECTED]->(target) - SET r += $properties - RETURN r - :result:None -2024-10-29 13:38:31,133 - lightrag - INFO - _check_edge_existence:query:MATCH (a:`COPYRIGHT LAW`)-[r]-(b:`PROJECT GUTENBERG LICENSE`) RETURN COUNT(r) > 0 AS edgeExists:result:False -2024-10-29 13:38:31,305 - lightrag - INFO - _check_node_exists:query:MATCH (n:`COPYRIGHT LAW`) RETURN count(n) > 0 AS node_exists:result:True -2024-10-29 13:38:31,470 - lightrag - INFO - _check_node_exists:query:MATCH (n:`PROJECT GUTENBERG LICENSE`) RETURN count(n) > 0 AS node_exists:result:True -2024-10-29 13:38:31,647 - lightrag - INFO - _do_upsert_edge:query: - MATCH (source:`COPYRIGHT LAW`) - WITH source - MATCH (target:`PROJECT GUTENBERG LICENSE`) - MERGE (source)-[r:DIRECTED]->(target) - SET r += $properties - RETURN r - :result:None -2024-10-29 13:38:31,841 - lightrag - INFO - _check_edge_existence:query:MATCH (a:`PROJECT GUTENBERG LICENSE`)-[r]-(b:`TRADEMARK LICENSE`) RETURN COUNT(r) > 0 AS edgeExists:result:False -2024-10-29 13:38:32,009 - lightrag - INFO - _check_node_exists:query:MATCH (n:`PROJECT GUTENBERG LICENSE`) RETURN count(n) > 0 AS node_exists:result:True -2024-10-29 13:38:32,188 - lightrag - INFO - _check_node_exists:query:MATCH (n:`TRADEMARK LICENSE`) RETURN count(n) > 0 AS node_exists:result:True -2024-10-29 13:38:32,378 - lightrag - INFO - _do_upsert_edge:query: - MATCH (source:`PROJECT GUTENBERG LICENSE`) - WITH source - MATCH (target:`TRADEMARK LICENSE`) - MERGE (source)-[r:DIRECTED]->(target) - SET r += $properties - RETURN r - :result:None -2024-10-29 13:38:32,559 - lightrag - INFO - _check_edge_existence:query:MATCH (a:`DERIVATIVE WORKS`)-[r]-(b:`GENERAL TERMS OF USE`) RETURN COUNT(r) > 0 AS edgeExists:result:False -2024-10-29 13:38:32,730 - lightrag - INFO - _check_node_exists:query:MATCH (n:`DERIVATIVE WORKS`) RETURN count(n) > 0 AS node_exists:result:True -2024-10-29 13:38:32,898 - lightrag - INFO - _check_node_exists:query:MATCH (n:`GENERAL TERMS OF USE`) RETURN count(n) > 0 AS node_exists:result:True -2024-10-29 13:38:33,091 - lightrag - INFO - _do_upsert_edge:query: - MATCH (source:`DERIVATIVE WORKS`) - WITH source - MATCH (target:`GENERAL TERMS OF USE`) - MERGE (source)-[r:DIRECTED]->(target) - SET r += $properties - RETURN r - :result:None -2024-10-29 13:38:33,281 - lightrag - INFO - _check_edge_existence:query:MATCH (a:`PROJECT GUTENBERG LICENSE`)-[r]-(b:`PROJECT GUTENBERG`) RETURN COUNT(r) > 0 AS edgeExists:result:False -2024-10-29 13:38:33,452 - lightrag - INFO - _check_node_exists:query:MATCH (n:`PROJECT GUTENBERG LICENSE`) RETURN count(n) > 0 AS node_exists:result:True -2024-10-29 13:38:33,614 - lightrag - INFO - _check_node_exists:query:MATCH (n:`PROJECT GUTENBERG`) RETURN count(n) > 0 AS node_exists:result:True -2024-10-29 13:38:33,800 - lightrag - INFO - _do_upsert_edge:query: - MATCH (source:`PROJECT GUTENBERG LICENSE`) - WITH source - MATCH (target:`PROJECT GUTENBERG`) - MERGE (source)-[r:DIRECTED]->(target) - SET r += $properties - RETURN r - :result:None -2024-10-29 13:38:33,985 - lightrag - INFO - _check_edge_existence:query:MATCH (a:`PROJECT GUTENBERG LITERARY ARCHIVE FOUNDATION`)-[r]-(b:`PROJECT GUTENBERG`) RETURN COUNT(r) > 0 AS edgeExists:result:False -2024-10-29 13:38:34,163 - lightrag - INFO - _check_node_exists:query:MATCH (n:`PROJECT GUTENBERG LITERARY ARCHIVE FOUNDATION`) RETURN count(n) > 0 AS node_exists:result:True -2024-10-29 13:38:34,329 - lightrag - INFO - _check_node_exists:query:MATCH (n:`PROJECT GUTENBERG`) RETURN count(n) > 0 AS node_exists:result:True -2024-10-29 13:38:34,519 - lightrag - INFO - _do_upsert_edge:query: - MATCH (source:`PROJECT GUTENBERG LITERARY ARCHIVE FOUNDATION`) - WITH source - MATCH (target:`PROJECT GUTENBERG`) - MERGE (source)-[r:DIRECTED]->(target) - SET r += $properties - RETURN r - :result:None -2024-10-29 13:38:34,702 - lightrag - INFO - _check_edge_existence:query:MATCH (a:`U.S. COPYRIGHT LAW`)-[r]-(b:`USERS`) RETURN COUNT(r) > 0 AS edgeExists:result:False -2024-10-29 13:38:34,877 - lightrag - INFO - _check_node_exists:query:MATCH (n:`U.S. COPYRIGHT LAW`) RETURN count(n) > 0 AS node_exists:result:True -2024-10-29 13:38:35,058 - lightrag - INFO - _check_node_exists:query:MATCH (n:`USERS`) RETURN count(n) > 0 AS node_exists:result:True -2024-10-29 13:38:35,242 - lightrag - INFO - _do_upsert_edge:query: - MATCH (source:`U.S. COPYRIGHT LAW`) - WITH source - MATCH (target:`USERS`) - MERGE (source)-[r:DIRECTED]->(target) - SET r += $properties - RETURN r - :result:None -2024-10-29 13:38:35,431 - lightrag - INFO - _check_edge_existence:query:MATCH (a:`PROJECT GUTENBERG LICENSE`)-[r]-(b:`ROYALTY FEES`) RETURN COUNT(r) > 0 AS edgeExists:result:False -2024-10-29 13:38:35,594 - lightrag - INFO - _check_node_exists:query:MATCH (n:`PROJECT GUTENBERG LICENSE`) RETURN count(n) > 0 AS node_exists:result:True -2024-10-29 13:38:35,769 - lightrag - INFO - _check_node_exists:query:MATCH (n:`ROYALTY FEES`) RETURN count(n) > 0 AS node_exists:result:True -2024-10-29 13:38:35,950 - lightrag - INFO - _do_upsert_edge:query: - MATCH (source:`PROJECT GUTENBERG LICENSE`) - WITH source - MATCH (target:`ROYALTY FEES`) - MERGE (source)-[r:DIRECTED]->(target) - SET r += $properties - RETURN r - :result:None -2024-10-29 13:38:36,130 - lightrag - INFO - _check_edge_existence:query:MATCH (a:`ELECTRONIC WORK`)-[r]-(b:`USERS`) RETURN COUNT(r) > 0 AS edgeExists:result:False -2024-10-29 13:38:36,304 - lightrag - INFO - _check_node_exists:query:MATCH (n:`ELECTRONIC WORK`) RETURN count(n) > 0 AS node_exists:result:True -2024-10-29 13:38:36,482 - lightrag - INFO - _check_node_exists:query:MATCH (n:`USERS`) RETURN count(n) > 0 AS node_exists:result:True -2024-10-29 13:38:36,668 - lightrag - INFO - _do_upsert_edge:query: - MATCH (source:`ELECTRONIC WORK`) - WITH source - MATCH (target:`USERS`) - MERGE (source)-[r:DIRECTED]->(target) - SET r += $properties - RETURN r - :result:None -2024-10-29 13:38:36,858 - lightrag - INFO - _check_edge_existence:query:MATCH (a:`PERMISSION`)-[r]-(b:`PROJECT GUTENBERG LICENSE`) RETURN COUNT(r) > 0 AS edgeExists:result:False -2024-10-29 13:38:37,032 - lightrag - INFO - _check_node_exists:query:MATCH (n:`PERMISSION`) RETURN count(n) > 0 AS node_exists:result:True -2024-10-29 13:38:37,195 - lightrag - INFO - _check_node_exists:query:MATCH (n:`PROJECT GUTENBERG LICENSE`) RETURN count(n) > 0 AS node_exists:result:True -2024-10-29 13:38:37,382 - lightrag - INFO - _do_upsert_edge:query: - MATCH (source:`PERMISSION`) - WITH source - MATCH (target:`PROJECT GUTENBERG LICENSE`) - MERGE (source)-[r:DIRECTED]->(target) - SET r += $properties - RETURN r - :result:None -2024-10-29 13:38:37,568 - lightrag - INFO - _check_edge_existence:query:MATCH (a:`PROJECT GUTENBERG LITERARY ARCHIVE FOUNDATION`)-[r]-(b:`PROJECT GUTENBERG™`) RETURN COUNT(r) > 0 AS edgeExists:result:False -2024-10-29 13:38:37,739 - lightrag - INFO - _check_node_exists:query:MATCH (n:`PROJECT GUTENBERG LITERARY ARCHIVE FOUNDATION`) RETURN count(n) > 0 AS node_exists:result:True -2024-10-29 13:38:37,937 - lightrag - INFO - _check_node_exists:query:MATCH (n:`PROJECT GUTENBERG™`) RETURN count(n) > 0 AS node_exists:result:True -2024-10-29 13:38:38,158 - lightrag - INFO - _do_upsert_edge:query: - MATCH (source:`PROJECT GUTENBERG LITERARY ARCHIVE FOUNDATION`) - WITH source - MATCH (target:`PROJECT GUTENBERG™`) - MERGE (source)-[r:DIRECTED]->(target) - SET r += $properties - RETURN r - :result:None -2024-10-29 13:38:38,346 - lightrag - INFO - _check_edge_existence:query:MATCH (a:`PROJECT GUTENBERG™ COLLECTION`)-[r]-(b:`PROJECT GUTENBERG™`) RETURN COUNT(r) > 0 AS edgeExists:result:False -2024-10-29 13:38:38,526 - lightrag - INFO - _check_node_exists:query:MATCH (n:`PROJECT GUTENBERG™ COLLECTION`) RETURN count(n) > 0 AS node_exists:result:True -2024-10-29 13:38:38,704 - lightrag - INFO - _check_node_exists:query:MATCH (n:`PROJECT GUTENBERG™`) RETURN count(n) > 0 AS node_exists:result:True -2024-10-29 13:38:38,894 - lightrag - INFO - _do_upsert_edge:query: - MATCH (source:`PROJECT GUTENBERG™ COLLECTION`) - WITH source - MATCH (target:`PROJECT GUTENBERG™`) - MERGE (source)-[r:DIRECTED]->(target) - SET r += $properties - RETURN r - :result:None -2024-10-29 13:38:39,079 - lightrag - INFO - _check_edge_existence:query:MATCH (a:`PROJECT GUTENBERG LITERARY ARCHIVE FOUNDATION`)-[r]-(b:`SALT LAKE CITY`) RETURN COUNT(r) > 0 AS edgeExists:result:False -2024-10-29 13:38:39,250 - lightrag - INFO - _check_node_exists:query:MATCH (n:`PROJECT GUTENBERG LITERARY ARCHIVE FOUNDATION`) RETURN count(n) > 0 AS node_exists:result:True -2024-10-29 13:38:39,427 - lightrag - INFO - _check_node_exists:query:MATCH (n:`SALT LAKE CITY`) RETURN count(n) > 0 AS node_exists:result:True -2024-10-29 13:38:39,615 - lightrag - INFO - _do_upsert_edge:query: - MATCH (source:`PROJECT GUTENBERG LITERARY ARCHIVE FOUNDATION`) - WITH source - MATCH (target:`SALT LAKE CITY`) - MERGE (source)-[r:DIRECTED]->(target) - SET r += $properties - RETURN r - :result:None -2024-10-29 13:38:39,803 - lightrag - INFO - _check_edge_existence:query:MATCH (a:`MISSISSIPPI`)-[r]-(b:`PROJECT GUTENBERG LITERARY ARCHIVE FOUNDATION`) RETURN COUNT(r) > 0 AS edgeExists:result:False -2024-10-29 13:38:39,978 - lightrag - INFO - _check_node_exists:query:MATCH (n:`MISSISSIPPI`) RETURN count(n) > 0 AS node_exists:result:True -2024-10-29 13:38:40,141 - lightrag - INFO - _check_node_exists:query:MATCH (n:`PROJECT GUTENBERG LITERARY ARCHIVE FOUNDATION`) RETURN count(n) > 0 AS node_exists:result:True -2024-10-29 13:38:40,332 - lightrag - INFO - _do_upsert_edge:query: - MATCH (source:`MISSISSIPPI`) - WITH source - MATCH (target:`PROJECT GUTENBERG LITERARY ARCHIVE FOUNDATION`) - MERGE (source)-[r:DIRECTED]->(target) - SET r += $properties - RETURN r - :result:None -2024-10-29 13:38:40,518 - lightrag - INFO - _check_edge_existence:query:MATCH (a:`MICHAEL S. HART`)-[r]-(b:`PROJECT GUTENBERG LITERARY ARCHIVE FOUNDATION`) RETURN COUNT(r) > 0 AS edgeExists:result:False -2024-10-29 13:38:40,691 - lightrag - INFO - _check_node_exists:query:MATCH (n:`MICHAEL S. HART`) RETURN count(n) > 0 AS node_exists:result:True -2024-10-29 13:38:40,850 - lightrag - INFO - _check_node_exists:query:MATCH (n:`PROJECT GUTENBERG LITERARY ARCHIVE FOUNDATION`) RETURN count(n) > 0 AS node_exists:result:True -2024-10-29 13:38:41,034 - lightrag - INFO - _do_upsert_edge:query: - MATCH (source:`MICHAEL S. HART`) - WITH source - MATCH (target:`PROJECT GUTENBERG LITERARY ARCHIVE FOUNDATION`) - MERGE (source)-[r:DIRECTED]->(target) - SET r += $properties - RETURN r - :result:None -2024-10-29 13:38:41,216 - lightrag - INFO - _check_edge_existence:query:MATCH (a:`EBOOKS`)-[r]-(b:`PROJECT GUTENBERG LITERARY ARCHIVE FOUNDATION`) RETURN COUNT(r) > 0 AS edgeExists:result:False -2024-10-29 13:38:41,389 - lightrag - INFO - _check_node_exists:query:MATCH (n:`EBOOKS`) RETURN count(n) > 0 AS node_exists:result:True -2024-10-29 13:38:41,556 - lightrag - INFO - _check_node_exists:query:MATCH (n:`PROJECT GUTENBERG LITERARY ARCHIVE FOUNDATION`) RETURN count(n) > 0 AS node_exists:result:True -2024-10-29 13:38:41,742 - lightrag - INFO - _do_upsert_edge:query: - MATCH (source:`EBOOKS`) - WITH source - MATCH (target:`PROJECT GUTENBERG LITERARY ARCHIVE FOUNDATION`) - MERGE (source)-[r:DIRECTED]->(target) - SET r += $properties - RETURN r - :result:None -2024-10-29 13:38:41,926 - lightrag - INFO - _check_edge_existence:query:MATCH (a:`INTERNAL REVENUE SERVICE`)-[r]-(b:`PROJECT GUTENBERG LITERARY ARCHIVE FOUNDATION`) RETURN COUNT(r) > 0 AS edgeExists:result:False -2024-10-29 13:38:42,100 - lightrag - INFO - _check_node_exists:query:MATCH (n:`INTERNAL REVENUE SERVICE`) RETURN count(n) > 0 AS node_exists:result:True -2024-10-29 13:38:42,263 - lightrag - INFO - _check_node_exists:query:MATCH (n:`PROJECT GUTENBERG LITERARY ARCHIVE FOUNDATION`) RETURN count(n) > 0 AS node_exists:result:True -2024-10-29 13:38:42,455 - lightrag - INFO - _do_upsert_edge:query: - MATCH (source:`INTERNAL REVENUE SERVICE`) - WITH source - MATCH (target:`PROJECT GUTENBERG LITERARY ARCHIVE FOUNDATION`) - MERGE (source)-[r:DIRECTED]->(target) - SET r += $properties - RETURN r - :result:None -2024-10-29 13:38:42,647 - lightrag - INFO - _check_edge_existence:query:MATCH (a:`CONTRIBUTIONS`)-[r]-(b:`PROJECT GUTENBERG LITERARY ARCHIVE FOUNDATION`) RETURN COUNT(r) > 0 AS edgeExists:result:False -2024-10-29 13:38:42,820 - lightrag - INFO - _check_node_exists:query:MATCH (n:`CONTRIBUTIONS`) RETURN count(n) > 0 AS node_exists:result:True -2024-10-29 13:38:42,987 - lightrag - INFO - _check_node_exists:query:MATCH (n:`PROJECT GUTENBERG LITERARY ARCHIVE FOUNDATION`) RETURN count(n) > 0 AS node_exists:result:True -2024-10-29 13:38:43,174 - lightrag - INFO - _do_upsert_edge:query: - MATCH (source:`CONTRIBUTIONS`) - WITH source - MATCH (target:`PROJECT GUTENBERG LITERARY ARCHIVE FOUNDATION`) - MERGE (source)-[r:DIRECTED]->(target) - SET r += $properties - RETURN r - :result:None -2024-10-29 13:38:43,356 - lightrag - INFO - _check_edge_existence:query:MATCH (a:`DONATIONS`)-[r]-(b:`PROJECT GUTENBERG LITERARY ARCHIVE FOUNDATION`) RETURN COUNT(r) > 0 AS edgeExists:result:False -2024-10-29 13:38:43,535 - lightrag - INFO - _check_node_exists:query:MATCH (n:`DONATIONS`) RETURN count(n) > 0 AS node_exists:result:True -2024-10-29 13:38:43,701 - lightrag - INFO - _check_node_exists:query:MATCH (n:`PROJECT GUTENBERG LITERARY ARCHIVE FOUNDATION`) RETURN count(n) > 0 AS node_exists:result:True -2024-10-29 13:38:43,885 - lightrag - INFO - _do_upsert_edge:query: - MATCH (source:`DONATIONS`) - WITH source - MATCH (target:`PROJECT GUTENBERG LITERARY ARCHIVE FOUNDATION`) - MERGE (source)-[r:DIRECTED]->(target) - SET r += $properties - RETURN r - :result:None -2024-10-29 13:38:44,065 - lightrag - INFO - _check_edge_existence:query:MATCH (a:`PROJECT GUTENBERG LITERARY ARCHIVE FOUNDATION`)-[r]-(b:`WEBSITE`) RETURN COUNT(r) > 0 AS edgeExists:result:False -2024-10-29 13:38:44,228 - lightrag - INFO - _check_node_exists:query:MATCH (n:`PROJECT GUTENBERG LITERARY ARCHIVE FOUNDATION`) RETURN count(n) > 0 AS node_exists:result:True -2024-10-29 13:38:44,412 - lightrag - INFO - _check_node_exists:query:MATCH (n:`WEBSITE`) RETURN count(n) > 0 AS node_exists:result:True -2024-10-29 13:38:44,597 - lightrag - INFO - _do_upsert_edge:query: - MATCH (source:`PROJECT GUTENBERG LITERARY ARCHIVE FOUNDATION`) - WITH source - MATCH (target:`WEBSITE`) - MERGE (source)-[r:DIRECTED]->(target) - SET r += $properties - RETURN r - :result:None -2024-10-29 13:38:44,644 - lightrag - INFO - Inserting 377 vectors to entities -2024-10-29 13:38:46,730 - lightrag - INFO - Inserting 297 vectors to relationships -2024-10-29 13:38:49,576 - lightrag - INFO - Creating a new event loop in a sub-thread. -2024-10-29 13:38:50,521 - lightrag - INFO - Truncate 39 to 3 chunks -2024-10-29 13:38:56,020 - lightrag - INFO - Creating a new event loop in a sub-thread. -2024-10-29 13:38:57,542 - lightrag - INFO - get_node:query:MATCH (n:`EMOTION`) RETURN n:result: -2024-10-29 13:38:57,633 - lightrag - INFO - get_node:query:MATCH (n:`DARKNESS`) RETURN n:result: -2024-10-29 13:38:57,727 - lightrag - INFO - get_node:query:MATCH (n:`CHRISTMAS`) RETURN n:result:"Christmas is a festive occasion that has led to a joyful transformation in Scrooge\'s character and actions.""Christmas is a festive time celebrated by the Cratchit family, symbolizing joy, family togetherness, and generosity.""Christmas is a significant holiday that serves as the backdrop for Scrooge\'s transformation and the events that unfold during the narrative.""Christmas is a significant holiday that triggers Scrooge\'s memories and reflections on joy, loneliness, and his past.""Christmas is central to the text, symbolizing generosity, charity, and warmth that Scrooge rejects.""Christmas is depicted as a festive season when charity and social duty are emphasized, contrasting with Scrooge\'s values.""Christmas is depicted as a time associated with joy and abundance, contrasting with Scrooge\'s initial views.""Christmas is depicted as a time of joy and communal spirit, marked by people\'s activities and interactions in the streets.""Christmas is depicted as a time of joy and generosity, contrasting sharply with Scrooge\'s past behavior and current solitude.""Christmas is portrayed as a festive time that Scrooge dismisses, emphasizing the contrast between joy and his miserable attitude.""Christmas is portrayed as a time of joy, reflection, and connection, emphasizing the positive impact of the holiday spirit on individuals and communities.""Christmas is presented as a time for merriment and social gatherings, which Scrooge\'s nephew advocates for despite his uncle\'s opposition.""Christmas is the central holiday during which the events unfold, leading to significant character transformations and themes of generosity.""Christmas is the season during which festive activities and celebrations are occurring, including dances and gatherings.""Christmas represents a time of reflection and change for Scrooge, emphasizing themes of redemption.""Christmas serves as a thematic backdrop for the story, symbolizing redemption, generosity, and the spirit of giving."', 'source_id': 'chunk-91614df5cb74cbe5e109a338a82041e9chunk-503f0bfa5453467c7c61d160a3540ecachunk-773d0df1dd25c356f7b771d780583e09chunk-8f738cb25d60a7dab782162d9d0a25edchunk-e7637ff18c5ded77a68cce0a87883fadchunk-8590d9263cd2cd4fa583c432fc54e6c3chunk-54bdd22db1f84a965b5f4c06c9216d8dchunk-02baee20cc9463dbe08170a8e1043e32chunk-90d5764e301321c087f5a8f78b73a145chunk-91572b3cd42786ba4cb2f180ca25cbf4chunk-1d4b58de5429cd1261370c231c8673e8chunk-da2472b4ef2a535b62908f14d0fb0ca9chunk-94bea83e7153fc2064aa382b494936a1chunk-89777b838d5447c7bd1ec11282c4ee89chunk-99b0ec7f7e006561352b5d65e849611dchunk-74e2466de2f67fd710ef2f20c0a8d9e0chunk-5dac41b3f9eeaf794f0147400b1718cd'}> -2024-10-29 13:38:57,820 - lightrag - INFO - get_node:query:MATCH (n:`CHRISTMAS HOLIDAYS`) RETURN n:result: -2024-10-29 13:38:57,912 - lightrag - INFO - get_node:query:MATCH (n:`HUMANITY`) RETURN n:result: -2024-10-29 13:38:58,004 - lightrag - INFO - get_node:query:MATCH (n:`THE PHANTOM`) RETURN n:result: -2024-10-29 13:38:58,093 - lightrag - INFO - get_node:query:MATCH (n:`THE FIREPLACE`) RETURN n:result: -2024-10-29 13:38:58,187 - lightrag - INFO - get_node:query:MATCH (n:`SCROOGE`) RETURN n:result:chunk-b2f98bc7abb0c67d4c86055c7fd72218chunk-91614df5cb74cbe5e109a338a82041e9chunk-8f738cb25d60a7dab782162d9d0a25edchunk-e7637ff18c5ded77a68cce0a87883fadchunk-d9aac3484185ac66045df92214d245d5chunk-90b95db5c53e4364a6bee36b7aa4d70fchunk-89777b838d5447c7bd1ec11282c4ee89chunk-c6c248858d1b13ab7ee9ca13c1aeed6bchunk-5dac41b3f9eeaf794f0147400b1718cdchunk-773d0df1dd25c356f7b771d780583e09chunk-843b5b2f944c7413d9ca876e2e2f151fchunk-f1a4fbcf1ed86864b9bfd5e8dba4c683chunk-359187e7571bda4b0b08b2e0b6581e52chunk-503f0bfa5453467c7c61d160a3540ecachunk-9c43dac2fcd5b578242d907ea6f8fc7bchunk-b0f459f5af1c3a5e0b92cbe4ee48b77bchunk-1aa50206d02ed89418f65f97c6441d1cchunk-54bdd22db1f84a965b5f4c06c9216d8dchunk-cb661c37436355ccec2769b1d0350c5fchunk-90d5764e301321c087f5a8f78b73a145chunk-91572b3cd42786ba4cb2f180ca25cbf4chunk-da2472b4ef2a535b62908f14d0fb0ca9chunk-99b0ec7f7e006561352b5d65e849611dchunk-43c9bee23adfa77aa9dedd22401bba7dchunk-83ac129dc9b56f84c46760d153d68e93chunk-e1f29eeadc1d8ab46dc8a0bbd3c56b64chunk-8590d9263cd2cd4fa583c432fc54e6c3chunk-02baee20cc9463dbe08170a8e1043e32chunk-94bea83e7153fc2064aa382b494936a1chunk-74e2466de2f67fd710ef2f20c0a8d9e0chunk-19d72c57ae3408758b18d2568e86dc6b'}> -2024-10-29 13:38:58,277 - lightrag - INFO - get_node:query:MATCH (n:`DEATH`) RETURN n:result:"Death is described as a powerful force in the narrative, represented through the imagery of a cold, rigid presence and the contemplation of mortality.""Death refers to the passing of a character that triggers a range of emotions and reflections among the living, influencing their lives and relationships."', 'source_id': 'chunk-e1f29eeadc1d8ab46dc8a0bbd3c56b64chunk-83ac129dc9b56f84c46760d153d68e93chunk-02baee20cc9463dbe08170a8e1043e32'}> -2024-10-29 13:38:58,366 - lightrag - INFO - get_node:query:MATCH (n:`THE SETTING SUN`) RETURN n:result: -2024-10-29 13:38:58,459 - lightrag - INFO - get_node:query:MATCH (n:`THE PENANCE`) RETURN n:result: -2024-10-29 13:38:58,551 - lightrag - INFO - get_node:query:MATCH (n:`LONDON`) RETURN n:result:"London serves as the setting where the events take place, adding a cultural backdrop to the Christmas gathering."', 'source_id': 'chunk-d9aac3484185ac66045df92214d245d5chunk-43c9bee23adfa77aa9dedd22401bba7d'}> -2024-10-29 13:38:58,644 - lightrag - INFO - get_node:query:MATCH (n:`FEARFUL PLACE`) RETURN n:result: -2024-10-29 13:38:58,737 - lightrag - INFO - get_node:query:MATCH (n:`THE DARK ROOM`) RETURN n:result: -2024-10-29 13:38:58,832 - lightrag - INFO - get_node:query:MATCH (n:`THE COSMIC SIGNIFICANCE`) RETURN n:result: -2024-10-29 13:38:58,928 - lightrag - INFO - get_node:query:MATCH (n:`THE SCHOOLMASTER`) RETURN n:result: -2024-10-29 13:38:59,021 - lightrag - INFO - get_node:query:MATCH (n:`FROST`) RETURN n:result: -2024-10-29 13:38:59,114 - lightrag - INFO - get_node:query:MATCH (n:`SUNDAY CLOTHES BOY`) RETURN n:result: -2024-10-29 13:38:59,205 - lightrag - INFO - get_node:query:MATCH (n:`SCHOOL`) RETURN n:result: -2024-10-29 13:38:59,301 - lightrag - INFO - get_node:query:MATCH (n:`CHRISTMAS-TIME`) RETURN n:result:"Christmas-time represents the festive season, a recurring theme that evokes memories and emotions in Scrooge’s reflections.""Christmas-time serves as a backdrop for the narrative, emphasizing themes of reflection, mortality, and social interactions."', 'source_id': 'chunk-f1a4fbcf1ed86864b9bfd5e8dba4c683chunk-c6c248858d1b13ab7ee9ca13c1aeed6bchunk-5dac41b3f9eeaf794f0147400b1718cd'}> -2024-10-29 13:38:59,395 - lightrag - INFO - get_node:query:MATCH (n:`POVERTY`) RETURN n:result: -2024-10-29 13:38:59,498 - lightrag - INFO - get_node:query:MATCH (n:`THE HOUSE`) RETURN n:result:"The House is the setting where Scrooge experiences the haunting, with a description of its features contributing to the eerie atmosphere."', 'source_id': 'chunk-da2472b4ef2a535b62908f14d0fb0ca9chunk-9c43dac2fcd5b578242d907ea6f8fc7b'}> -2024-10-29 13:38:59,595 - lightrag - INFO - get_node:query:MATCH (n:`THE THREE SPIRITS`) RETURN n:result: -2024-10-29 13:38:59,689 - lightrag - INFO - get_node:query:MATCH (n:`PONDEROUS CHAIN`) RETURN n:result: -2024-10-29 13:38:59,782 - lightrag - INFO - get_node:query:MATCH (n:`CITY`) RETURN n:result:"The City represents the urban setting where Scrooge witnesses the indifference of its inhabitants regarding his death.""The City represents the urban setting where Scrooge\'s transformation takes place, symbolizing the broader society impacted by his changes."', 'source_id': 'chunk-843b5b2f944c7413d9ca876e2e2f151fchunk-94bea83e7153fc2064aa382b494936a1chunk-02baee20cc9463dbe08170a8e1043e32'}> -2024-10-29 13:38:59,875 - lightrag - INFO - get_node:query:MATCH (n:`FOUR-ROOMED HOUSE`) RETURN n:result: -2024-10-29 13:38:59,968 - lightrag - INFO - get_node:query:MATCH (n:`THE CITY`) RETURN n:result:"The City represents the bustling urban environment where Scrooge reflects on his past, filled with activity and shadowy figures.""The City, from which Scrooge is transported, represents his past life and is contrasted with the open country road that signifies his memories."', 'source_id': 'chunk-bb21d58d36c6306fd8810ddd51c4a971chunk-c6c248858d1b13ab7ee9ca13c1aeed6bchunk-74e2466de2f67fd710ef2f20c0a8d9e0'}> -2024-10-29 13:39:00,060 - lightrag - INFO - get_node:query:MATCH (n:`THE DARK NIGHT`) RETURN n:result: -2024-10-29 13:39:00,151 - lightrag - INFO - get_node:query:MATCH (n:`KEYS`) RETURN n:result: -2024-10-29 13:39:00,244 - lightrag - INFO - get_node:query:MATCH (n:`AVARICE`) RETURN n:result: -2024-10-29 13:39:00,336 - lightrag - INFO - get_node:query:MATCH (n:`THE DAUGHTER`) RETURN n:result: -2024-10-29 13:39:00,429 - lightrag - INFO - get_node:query:MATCH (n:`THE COLD`) RETURN n:result: -2024-10-29 13:39:00,525 - lightrag - INFO - get_node:query:MATCH (n:`DEEDS`) RETURN n:result: -2024-10-29 13:39:00,620 - lightrag - INFO - get_node:query:MATCH (n:`THE BEDROOM`) RETURN n:result: -2024-10-29 13:39:00,714 - lightrag - INFO - get_node:query:MATCH (n:`THE BED`) RETURN n:result: -2024-10-29 13:39:00,807 - lightrag - INFO - get_node:query:MATCH (n:`MARKET-TOWN`) RETURN n:result: -2024-10-29 13:39:00,905 - lightrag - INFO - get_node:query:MATCH (n:`SPIRIT`) RETURN n:result:"The Spirit embodies the lessons of compassion and social responsibility, guiding Scrooge through his reflections and realizations.""The Spirit is the manifestation of Scrooge\'s past that guides him through his memories, representing his former self and the influence of time.""The Spirit represents a ghostly entity, guiding Scrooge through visions of potential future events and urging him to acknowledge societal issues.""The Spirit represents a supernatural entity guiding Scrooge through his reflections on life, death, and human emotions, prompting self-awareness.""The Spirit represents the embodiment of the Christmas present, personifying the themes of generosity and merriment."', 'source_id': 'chunk-bb21d58d36c6306fd8810ddd51c4a971chunk-83ac129dc9b56f84c46760d153d68e93chunk-e7637ff18c5ded77a68cce0a87883fadchunk-843b5b2f944c7413d9ca876e2e2f151fchunk-1aa50206d02ed89418f65f97c6441d1cchunk-02baee20cc9463dbe08170a8e1043e32'}> -2024-10-29 13:39:00,997 - lightrag - INFO - get_node:query:MATCH (n:`GHOST`) RETURN n:result:"The Ghost refers to the spirit guiding Scrooge, embodying the themes of memory and reflection on the joys of Christmas.""The Ghost represents a spiritual guide that takes Scrooge on a journey to learn important lessons about compassion and humanity.""The Ghost serves as a supernatural guide for Scrooge, prompting him to reflect on his life and choices."', 'source_id': 'chunk-503f0bfa5453467c7c61d160a3540ecachunk-c6c248858d1b13ab7ee9ca13c1aeed6bchunk-e7637ff18c5ded77a68cce0a87883fadchunk-43c9bee23adfa77aa9dedd22401bba7d'}> -2024-10-29 13:39:01,088 - lightrag - INFO - get_node:query:MATCH (n:`THE SOLITARY CHILD`) RETURN n:result: -2024-10-29 13:39:01,180 - lightrag - INFO - get_node:query:MATCH (n:`WANT`) RETURN n:result: -2024-10-29 13:39:01,270 - lightrag - INFO - get_node:query:MATCH (n:`A CHRISTMAS CAROL`) RETURN n:result: -2024-10-29 13:39:01,360 - lightrag - INFO - get_node:query:MATCH (n:`KIND WORD`) RETURN n:result: -2024-10-29 13:39:01,456 - lightrag - INFO - get_node:query:MATCH (n:`THE GRAVE`) RETURN n:result: -2024-10-29 13:39:01,551 - lightrag - INFO - get_node:query:MATCH (n:`JOE`) RETURN n:result:"Joe is a marine-store dealer depicted as receiving stolen goods, illustrating the consequences of crime and the darker sides of society.""Joe is portrayed as a character engaged in a conversation about the deceased, displaying a mix of humor and practicality in dealing with the possessions of the dead."', 'source_id': 'chunk-89777b838d5447c7bd1ec11282c4ee89chunk-9e3921da66da5d761ab73cd849af6c43chunk-e1f29eeadc1d8ab46dc8a0bbd3c56b64'}> -2024-10-29 13:39:01,646 - lightrag - INFO - get_node:query:MATCH (n:`THE ROOM BY DAYLIGHT`) RETURN n:result: -2024-10-29 13:39:01,743 - lightrag - INFO - get_node:query:MATCH (n:`THE YOUNG GIRL`) RETURN n:result: -2024-10-29 13:39:01,835 - lightrag - INFO - get_node:query:MATCH (n:`THE SPRING`) RETURN n:result: -2024-10-29 13:39:01,929 - lightrag - INFO - get_node:query:MATCH (n:`THE CANDLE`) RETURN n:result: -2024-10-29 13:39:02,022 - lightrag - INFO - get_node:query:MATCH (n:`CHILDREN`) RETURN n:result:"The Children represent the joyful, carefree aspects of Scrooge\'s past, embodying happiness and the innocence of youth that he has long forgotten."', 'source_id': 'chunk-bb21d58d36c6306fd8810ddd51c4a971chunk-e7637ff18c5ded77a68cce0a87883fad'}> -2024-10-29 13:39:02,108 - lightrag - INFO - get_node:query:MATCH (n:`WINTER DAY`) RETURN n:result: -2024-10-29 13:39:02,198 - lightrag - INFO - get_node:query:MATCH (n:`THE AIR`) RETURN n:result: -2024-10-29 13:39:02,286 - lightrag - INFO - get_node:query:MATCH (n:`CHARLES DICKENS`) RETURN n:result: -2024-10-29 13:39:02,375 - lightrag - INFO - get_node:query:MATCH (n:`CHRISTMAS FEAST`) RETURN n:result: -2024-10-29 13:39:02,468 - lightrag - INFO - get_node:query:MATCH (n:`THE CLOTHES AND ITEMS`) RETURN n:result: -2024-10-29 13:39:02,560 - lightrag - INFO - get_node:query:MATCH (n:`THE TRANSPARENT WINDOW`) RETURN n:result: -2024-10-29 13:39:02,653 - lightrag - INFO - get_node:query:MATCH (n:`THE CHAISE`) RETURN n:result: -2024-10-29 13:39:02,746 - lightrag - INFO - get_node:query:MATCH (n:`THE PAST`) RETURN n:result: -2024-10-29 13:39:02,839 - lightrag - INFO - get_node:query:MATCH (n:`SHADOW OF HIMSELF`) RETURN n:result: -2024-10-29 13:39:02,933 - lightrag - INFO - get_node:query:MATCH (n:`THE CANDLE-LIGHT`) RETURN n:result: -2024-10-29 13:39:03,026 - lightrag - INFO - get_node:query:MATCH (n:`THE STREET`) RETURN n:result: -2024-10-29 13:42:59,804 - lightrag - INFO - Logger initialized for working directory: ./neo4jWorkDir -2024-10-29 13:42:59,805 - lightrag - DEBUG - LightRAG init with param: - working_dir = ./neo4jWorkDir, - chunk_token_size = 1200, - chunk_overlap_token_size = 100, - tiktoken_model_name = gpt-4o-mini, - entity_extract_max_gleaning = 1, - entity_summary_to_max_tokens = 500, - node_embedding_algorithm = node2vec, - node2vec_params = {'dimensions': 1536, 'num_walks': 10, 'walk_length': 40, 'window_size': 2, 'iterations': 3, 'random_seed': 3}, - embedding_func = {'embedding_dim': 1536, 'max_token_size': 8192, 'func': }, - embedding_batch_num = 32, - embedding_func_max_async = 16, - llm_model_func = , - llm_model_name = meta-llama/Llama-3.2-1B-Instruct, - llm_model_max_token_size = 32768, - llm_model_max_async = 16, - key_string_value_json_storage_cls = , - vector_db_storage_cls = , - vector_db_storage_cls_kwargs = {}, - graph_storage_cls = , - enable_llm_cache = True, - addon_params = {}, - convert_response_to_json_func = - -2024-10-29 13:42:59,805 - lightrag - INFO - Load KV full_docs with 1 data -2024-10-29 13:42:59,806 - lightrag - INFO - Load KV text_chunks with 42 data -2024-10-29 13:42:59,807 - lightrag - INFO - Load KV llm_response_cache with 86 data -2024-10-29 13:42:59,833 - lightrag - INFO - Creating a new event loop in a sub-thread. -2024-10-29 13:42:59,833 - lightrag - WARNING - All docs are already in the storage -2024-10-29 13:42:59,854 - lightrag - INFO - Creating a new event loop in a sub-thread. -2024-10-29 13:43:00,657 - lightrag - INFO - Truncate 39 to 3 chunks -2024-10-29 13:43:00,665 - lightrag - INFO - Creating a new event loop in a sub-thread. -2024-10-29 13:43:02,624 - lightrag - INFO - get_node:query:MATCH (n:`EMOTION`) RETURN n:result: -2024-10-29 13:43:02,712 - lightrag - INFO - get_node:query:MATCH (n:`DARKNESS`) RETURN n:result: -2024-10-29 13:43:02,800 - lightrag - INFO - get_node:query:MATCH (n:`PONDEROUS CHAIN`) RETURN n:result: -2024-10-29 13:43:02,889 - lightrag - INFO - get_node:query:MATCH (n:`RUSTY KEYS, NAILS, CHAINS, HINGES`) RETURN n:result: -2024-10-29 13:43:02,976 - lightrag - INFO - get_node:query:MATCH (n:`KEYS`) RETURN n:result: -2024-10-29 13:43:03,064 - lightrag - INFO - get_node:query:MATCH (n:`THE CHAIN`) RETURN n:result:"The Chain symbolizes the burdens of the past that haunt the spirits, showcasing the consequences of one\'s actions in life."', 'source_id': 'chunk-359187e7571bda4b0b08b2e0b6581e52chunk-cb661c37436355ccec2769b1d0350c5f'}> -2024-10-29 13:43:03,151 - lightrag - INFO - get_node:query:MATCH (n:`THE COSMIC SIGNIFICANCE`) RETURN n:result: -2024-10-29 13:43:03,240 - lightrag - INFO - get_node:query:MATCH (n:`CHRISTMAS`) RETURN n:result:"Christmas is a festive occasion that has led to a joyful transformation in Scrooge\'s character and actions.""Christmas is a festive time celebrated by the Cratchit family, symbolizing joy, family togetherness, and generosity.""Christmas is a significant holiday that serves as the backdrop for Scrooge\'s transformation and the events that unfold during the narrative.""Christmas is a significant holiday that triggers Scrooge\'s memories and reflections on joy, loneliness, and his past.""Christmas is central to the text, symbolizing generosity, charity, and warmth that Scrooge rejects.""Christmas is depicted as a festive season when charity and social duty are emphasized, contrasting with Scrooge\'s values.""Christmas is depicted as a time associated with joy and abundance, contrasting with Scrooge\'s initial views.""Christmas is depicted as a time of joy and communal spirit, marked by people\'s activities and interactions in the streets.""Christmas is depicted as a time of joy and generosity, contrasting sharply with Scrooge\'s past behavior and current solitude.""Christmas is portrayed as a festive time that Scrooge dismisses, emphasizing the contrast between joy and his miserable attitude.""Christmas is portrayed as a time of joy, reflection, and connection, emphasizing the positive impact of the holiday spirit on individuals and communities.""Christmas is presented as a time for merriment and social gatherings, which Scrooge\'s nephew advocates for despite his uncle\'s opposition.""Christmas is the central holiday during which the events unfold, leading to significant character transformations and themes of generosity.""Christmas is the season during which festive activities and celebrations are occurring, including dances and gatherings.""Christmas represents a time of reflection and change for Scrooge, emphasizing themes of redemption.""Christmas serves as a thematic backdrop for the story, symbolizing redemption, generosity, and the spirit of giving."', 'source_id': 'chunk-91614df5cb74cbe5e109a338a82041e9chunk-503f0bfa5453467c7c61d160a3540ecachunk-773d0df1dd25c356f7b771d780583e09chunk-8f738cb25d60a7dab782162d9d0a25edchunk-e7637ff18c5ded77a68cce0a87883fadchunk-8590d9263cd2cd4fa583c432fc54e6c3chunk-54bdd22db1f84a965b5f4c06c9216d8dchunk-02baee20cc9463dbe08170a8e1043e32chunk-90d5764e301321c087f5a8f78b73a145chunk-91572b3cd42786ba4cb2f180ca25cbf4chunk-1d4b58de5429cd1261370c231c8673e8chunk-da2472b4ef2a535b62908f14d0fb0ca9chunk-94bea83e7153fc2064aa382b494936a1chunk-89777b838d5447c7bd1ec11282c4ee89chunk-99b0ec7f7e006561352b5d65e849611dchunk-74e2466de2f67fd710ef2f20c0a8d9e0chunk-5dac41b3f9eeaf794f0147400b1718cd'}> -2024-10-29 13:43:03,330 - lightrag - INFO - get_node:query:MATCH (n:`DEATH`) RETURN n:result:"Death is described as a powerful force in the narrative, represented through the imagery of a cold, rigid presence and the contemplation of mortality.""Death refers to the passing of a character that triggers a range of emotions and reflections among the living, influencing their lives and relationships."', 'source_id': 'chunk-e1f29eeadc1d8ab46dc8a0bbd3c56b64chunk-83ac129dc9b56f84c46760d153d68e93chunk-02baee20cc9463dbe08170a8e1043e32'}> -2024-10-29 13:43:03,418 - lightrag - INFO - get_node:query:MATCH (n:`THE PHANTOM`) RETURN n:result: -2024-10-29 13:43:03,508 - lightrag - INFO - get_node:query:MATCH (n:`THE BED`) RETURN n:result: -2024-10-29 13:43:03,601 - lightrag - INFO - get_node:query:MATCH (n:`KEYHOLE`) RETURN n:result: -2024-10-29 13:43:03,688 - lightrag - INFO - get_node:query:MATCH (n:`THE CLOTHES AND ITEMS`) RETURN n:result: -2024-10-29 13:43:03,779 - lightrag - INFO - get_node:query:MATCH (n:`THE SETTING SUN`) RETURN n:result: -2024-10-29 13:43:03,872 - lightrag - INFO - get_node:query:MATCH (n:`THE GRAVE`) RETURN n:result: -2024-10-29 13:43:03,962 - lightrag - INFO - get_node:query:MATCH (n:`THE TRANSPARENT WINDOW`) RETURN n:result: -2024-10-29 13:43:04,051 - lightrag - INFO - get_node:query:MATCH (n:`THE ROOM BY DAYLIGHT`) RETURN n:result: -2024-10-29 13:43:04,143 - lightrag - INFO - get_node:query:MATCH (n:`CHRISTMAS HOLIDAYS`) RETURN n:result: -2024-10-29 13:43:04,228 - lightrag - INFO - get_node:query:MATCH (n:`DEEDS`) RETURN n:result: -2024-10-29 13:43:04,317 - lightrag - INFO - get_node:query:MATCH (n:`HUMANITY`) RETURN n:result: -2024-10-29 13:43:04,407 - lightrag - INFO - get_node:query:MATCH (n:`THE COLD`) RETURN n:result: -2024-10-29 13:43:04,496 - lightrag - INFO - get_node:query:MATCH (n:`IRON CABLE`) RETURN n:result: -2024-10-29 13:43:04,586 - lightrag - INFO - get_node:query:MATCH (n:`THE CANDLE`) RETURN n:result: -2024-10-29 13:43:04,673 - lightrag - INFO - get_node:query:MATCH (n:`FEARFUL PLACE`) RETURN n:result: -2024-10-29 13:43:04,762 - lightrag - INFO - get_node:query:MATCH (n:`FROST`) RETURN n:result: -2024-10-29 13:43:04,852 - lightrag - INFO - get_node:query:MATCH (n:`AVARICE`) RETURN n:result: -2024-10-29 13:43:04,945 - lightrag - INFO - get_node:query:MATCH (n:`SCROOGE`) RETURN n:result:chunk-b2f98bc7abb0c67d4c86055c7fd72218chunk-91614df5cb74cbe5e109a338a82041e9chunk-8f738cb25d60a7dab782162d9d0a25edchunk-e7637ff18c5ded77a68cce0a87883fadchunk-d9aac3484185ac66045df92214d245d5chunk-90b95db5c53e4364a6bee36b7aa4d70fchunk-89777b838d5447c7bd1ec11282c4ee89chunk-c6c248858d1b13ab7ee9ca13c1aeed6bchunk-5dac41b3f9eeaf794f0147400b1718cdchunk-773d0df1dd25c356f7b771d780583e09chunk-843b5b2f944c7413d9ca876e2e2f151fchunk-f1a4fbcf1ed86864b9bfd5e8dba4c683chunk-359187e7571bda4b0b08b2e0b6581e52chunk-503f0bfa5453467c7c61d160a3540ecachunk-9c43dac2fcd5b578242d907ea6f8fc7bchunk-b0f459f5af1c3a5e0b92cbe4ee48b77bchunk-1aa50206d02ed89418f65f97c6441d1cchunk-54bdd22db1f84a965b5f4c06c9216d8dchunk-cb661c37436355ccec2769b1d0350c5fchunk-90d5764e301321c087f5a8f78b73a145chunk-91572b3cd42786ba4cb2f180ca25cbf4chunk-da2472b4ef2a535b62908f14d0fb0ca9chunk-99b0ec7f7e006561352b5d65e849611dchunk-43c9bee23adfa77aa9dedd22401bba7dchunk-83ac129dc9b56f84c46760d153d68e93chunk-e1f29eeadc1d8ab46dc8a0bbd3c56b64chunk-8590d9263cd2cd4fa583c432fc54e6c3chunk-02baee20cc9463dbe08170a8e1043e32chunk-94bea83e7153fc2064aa382b494936a1chunk-74e2466de2f67fd710ef2f20c0a8d9e0chunk-19d72c57ae3408758b18d2568e86dc6b'}> -2024-10-29 13:43:05,033 - lightrag - INFO - get_node:query:MATCH (n:`SHADOW OF HIMSELF`) RETURN n:result: -2024-10-29 13:43:05,120 - lightrag - INFO - get_node:query:MATCH (n:`THE BLESSED STAR`) RETURN n:result: -2024-10-29 13:43:05,205 - lightrag - INFO - get_node:query:MATCH (n:`THE FIREPLACE`) RETURN n:result: -2024-10-29 13:43:05,293 - lightrag - INFO - get_node:query:MATCH (n:`THE FLANNEL BAG`) RETURN n:result: -2024-10-29 13:43:05,380 - lightrag - INFO - get_node:query:MATCH (n:`MAN`) RETURN n:result: -2024-10-29 13:43:05,465 - lightrag - INFO - get_node:query:MATCH (n:`THE BOTTLE`) RETURN n:result: -2024-10-29 13:43:05,552 - lightrag - INFO - get_node:query:MATCH (n:`THE THREE SPIRITS`) RETURN n:result: -2024-10-29 13:43:05,638 - lightrag - INFO - get_node:query:MATCH (n:`SPIRIT`) RETURN n:result:"The Spirit embodies the lessons of compassion and social responsibility, guiding Scrooge through his reflections and realizations.""The Spirit is the manifestation of Scrooge\'s past that guides him through his memories, representing his former self and the influence of time.""The Spirit represents a ghostly entity, guiding Scrooge through visions of potential future events and urging him to acknowledge societal issues.""The Spirit represents a supernatural entity guiding Scrooge through his reflections on life, death, and human emotions, prompting self-awareness.""The Spirit represents the embodiment of the Christmas present, personifying the themes of generosity and merriment."', 'source_id': 'chunk-bb21d58d36c6306fd8810ddd51c4a971chunk-83ac129dc9b56f84c46760d153d68e93chunk-e7637ff18c5ded77a68cce0a87883fadchunk-843b5b2f944c7413d9ca876e2e2f151fchunk-1aa50206d02ed89418f65f97c6441d1cchunk-02baee20cc9463dbe08170a8e1043e32'}> -2024-10-29 13:43:05,725 - lightrag - INFO - get_node:query:MATCH (n:`PADLOCKS`) RETURN n:result: -2024-10-29 13:43:05,815 - lightrag - INFO - get_node:query:MATCH (n:`THE PENANCE`) RETURN n:result: -2024-10-29 13:43:05,903 - lightrag - INFO - get_node:query:MATCH (n:`POVERTY`) RETURN n:result: -2024-10-29 13:43:05,990 - lightrag - INFO - get_node:query:MATCH (n:`THE DAUGHTER`) RETURN n:result: -2024-10-29 13:43:06,076 - lightrag - INFO - get_node:query:MATCH (n:`THE DARK ROOM`) RETURN n:result: -2024-10-29 13:43:06,162 - lightrag - INFO - get_node:query:MATCH (n:`WANT`) RETURN n:result: -2024-10-29 13:43:06,251 - lightrag - INFO - get_node:query:MATCH (n:`THE BEDROOM`) RETURN n:result: -2024-10-29 13:43:06,340 - lightrag - INFO - get_node:query:MATCH (n:`THE CHAISE`) RETURN n:result: -2024-10-29 13:43:06,433 - lightrag - INFO - get_node:query:MATCH (n:`THE SPRING`) RETURN n:result: -2024-10-29 13:43:06,522 - lightrag - INFO - get_node:query:MATCH (n:`CITY`) RETURN n:result:"The City represents the urban setting where Scrooge witnesses the indifference of its inhabitants regarding his death.""The City represents the urban setting where Scrooge\'s transformation takes place, symbolizing the broader society impacted by his changes."', 'source_id': 'chunk-843b5b2f944c7413d9ca876e2e2f151fchunk-94bea83e7153fc2064aa382b494936a1chunk-02baee20cc9463dbe08170a8e1043e32'}> -2024-10-29 13:43:06,611 - lightrag - INFO - get_node:query:MATCH (n:`THE CANDLE-LIGHT`) RETURN n:result: -2024-10-29 13:43:06,700 - lightrag - INFO - get_node:query:MATCH (n:`THE MOTHER`) RETURN n:result:"The Mother is a character associated with the family dynamics during the Christmas scene, though her actions are not explicitly detailed.""The Mother is depicted as a comely matron, who enjoys the laughter and chaos with her children, showing warmth and family value."', 'source_id': 'chunk-da2472b4ef2a535b62908f14d0fb0ca9chunk-83ac129dc9b56f84c46760d153d68e93chunk-54bdd22db1f84a965b5f4c06c9216d8d'}> -2024-10-29 13:43:06,788 - lightrag - INFO - get_node:query:MATCH (n:`SCHOOL`) RETURN n:result: -2024-10-29 13:43:06,879 - lightrag - INFO - get_node:query:MATCH (n:`HEALTH`) RETURN n:result: -2024-10-29 13:43:06,968 - lightrag - INFO - get_node:query:MATCH (n:`THE DARK CHAMBER`) RETURN n:result: -2024-10-29 13:43:07,057 - lightrag - INFO - get_node:query:MATCH (n:`CASH-BOXES`) RETURN n:result: -2024-10-29 13:43:07,145 - lightrag - INFO - get_node:query:MATCH (n:`CHRISTMAS-TIME`) RETURN n:result:"Christmas-time represents the festive season, a recurring theme that evokes memories and emotions in Scrooge’s reflections.""Christmas-time serves as a backdrop for the narrative, emphasizing themes of reflection, mortality, and social interactions."', 'source_id': 'chunk-f1a4fbcf1ed86864b9bfd5e8dba4c683chunk-c6c248858d1b13ab7ee9ca13c1aeed6bchunk-5dac41b3f9eeaf794f0147400b1718cd'}> -2024-10-29 13:43:07,237 - lightrag - INFO - get_node:query:MATCH (n:`THE DARKNESS`) RETURN n:result: -2024-10-29 13:43:07,323 - lightrag - INFO - get_node:query:MATCH (n:`THE BANDAGE`) RETURN n:result: -2024-10-29 13:43:07,414 - lightrag - INFO - get_node:query:MATCH (n:`THE BLANKETS`) RETURN n:result: -2024-10-29 13:43:07,501 - lightrag - INFO - get_node:query:MATCH (n:`MARLEY`) RETURN n:result:"Marley is Scrooge\'s deceased partner whose death is emphasized, and who impacts Scrooge\'s story through memories and reflections.""Marley is a character who, although only mentioned, has had a significant influence on Scrooge\'s life and perspective, representing his past connections.""Marley is a deceased character whose ghost appears to Scrooge, representing regret and the consequences of a life led without compassion."', 'source_id': 'chunk-d9aac3484185ac66045df92214d245d5chunk-843b5b2f944c7413d9ca876e2e2f151fchunk-89777b838d5447c7bd1ec11282c4ee89chunk-9c43dac2fcd5b578242d907ea6f8fc7b'}> -2024-10-29 13:43:07,593 - lightrag - INFO - get_node:query:MATCH (n:`THE DARK NIGHT`) RETURN n:result: -2024-10-29 13:43:07,682 - lightrag - INFO - get_node:query:MATCH (n:`THE CRATCHIT FAMILY`) RETURN n:result: -2024-10-29 13:43:07,770 - lightrag - INFO - get_node:query:MATCH (n:`PLATES`) RETURN n:result: -2024-10-29 13:43:07,857 - lightrag - INFO - get_node:query:MATCH (n:`THE LIGHTHOUSE`) RETURN n:result: -2024-10-29 13:46:32,109 - lightrag - INFO - Logger initialized for working directory: ./neo4jWorkDir -2024-10-29 13:46:32,109 - lightrag - DEBUG - LightRAG init with param: - working_dir = ./neo4jWorkDir, - chunk_token_size = 1200, - chunk_overlap_token_size = 100, - tiktoken_model_name = gpt-4o-mini, - entity_extract_max_gleaning = 1, - entity_summary_to_max_tokens = 500, - node_embedding_algorithm = node2vec, - node2vec_params = {'dimensions': 1536, 'num_walks': 10, 'walk_length': 40, 'window_size': 2, 'iterations': 3, 'random_seed': 3}, - embedding_func = {'embedding_dim': 1536, 'max_token_size': 8192, 'func': }, - embedding_batch_num = 32, - embedding_func_max_async = 16, - llm_model_func = , - llm_model_name = meta-llama/Llama-3.2-1B-Instruct, - llm_model_max_token_size = 32768, - llm_model_max_async = 16, - key_string_value_json_storage_cls = , - vector_db_storage_cls = , - vector_db_storage_cls_kwargs = {}, - graph_storage_cls = , - enable_llm_cache = True, - addon_params = {}, - convert_response_to_json_func = - -2024-10-29 13:46:32,110 - lightrag - INFO - Load KV full_docs with 1 data -2024-10-29 13:46:32,111 - lightrag - INFO - Load KV text_chunks with 42 data -2024-10-29 13:46:32,112 - lightrag - INFO - Load KV llm_response_cache with 86 data -2024-10-29 13:46:32,132 - lightrag - INFO - Creating a new event loop in a sub-thread. -2024-10-29 13:46:32,133 - lightrag - WARNING - All docs are already in the storage -2024-10-29 13:46:32,172 - lightrag - INFO - Creating a new event loop in a sub-thread. -2024-10-29 13:46:32,878 - lightrag - INFO - Truncate 39 to 3 chunks -2024-10-29 13:46:32,891 - lightrag - INFO - Creating a new event loop in a sub-thread. -2024-10-29 13:46:35,270 - lightrag - INFO - get_node:query:MATCH (n:`EMOTION`) RETURN n:result: -2024-10-29 13:46:35,389 - lightrag - INFO - get_node:query:MATCH (n:`DARKNESS`) RETURN n:result: -2024-10-29 13:46:35,517 - lightrag - INFO - get_node:query:MATCH (n:`RUSTY KEYS, NAILS, CHAINS, HINGES`) RETURN n:result: -2024-10-29 13:46:35,625 - lightrag - INFO - get_node:query:MATCH (n:`DEATH`) RETURN n:result:"Death is described as a powerful force in the narrative, represented through the imagery of a cold, rigid presence and the contemplation of mortality.""Death refers to the passing of a character that triggers a range of emotions and reflections among the living, influencing their lives and relationships."', 'source_id': 'chunk-e1f29eeadc1d8ab46dc8a0bbd3c56b64chunk-83ac129dc9b56f84c46760d153d68e93chunk-02baee20cc9463dbe08170a8e1043e32'}> -2024-10-29 13:46:35,729 - lightrag - INFO - get_node:query:MATCH (n:`PONDEROUS CHAIN`) RETURN n:result: -2024-10-29 13:46:35,838 - lightrag - INFO - get_node:query:MATCH (n:`CHRISTMAS HOLIDAYS`) RETURN n:result: -2024-10-29 13:46:35,956 - lightrag - INFO - get_node:query:MATCH (n:`CHRISTMAS`) RETURN n:result:"Christmas is a festive occasion that has led to a joyful transformation in Scrooge\'s character and actions.""Christmas is a festive time celebrated by the Cratchit family, symbolizing joy, family togetherness, and generosity.""Christmas is a significant holiday that serves as the backdrop for Scrooge\'s transformation and the events that unfold during the narrative.""Christmas is a significant holiday that triggers Scrooge\'s memories and reflections on joy, loneliness, and his past.""Christmas is central to the text, symbolizing generosity, charity, and warmth that Scrooge rejects.""Christmas is depicted as a festive season when charity and social duty are emphasized, contrasting with Scrooge\'s values.""Christmas is depicted as a time associated with joy and abundance, contrasting with Scrooge\'s initial views.""Christmas is depicted as a time of joy and communal spirit, marked by people\'s activities and interactions in the streets.""Christmas is depicted as a time of joy and generosity, contrasting sharply with Scrooge\'s past behavior and current solitude.""Christmas is portrayed as a festive time that Scrooge dismisses, emphasizing the contrast between joy and his miserable attitude.""Christmas is portrayed as a time of joy, reflection, and connection, emphasizing the positive impact of the holiday spirit on individuals and communities.""Christmas is presented as a time for merriment and social gatherings, which Scrooge\'s nephew advocates for despite his uncle\'s opposition.""Christmas is the central holiday during which the events unfold, leading to significant character transformations and themes of generosity.""Christmas is the season during which festive activities and celebrations are occurring, including dances and gatherings.""Christmas represents a time of reflection and change for Scrooge, emphasizing themes of redemption.""Christmas serves as a thematic backdrop for the story, symbolizing redemption, generosity, and the spirit of giving."', 'source_id': 'chunk-91614df5cb74cbe5e109a338a82041e9chunk-503f0bfa5453467c7c61d160a3540ecachunk-773d0df1dd25c356f7b771d780583e09chunk-8f738cb25d60a7dab782162d9d0a25edchunk-e7637ff18c5ded77a68cce0a87883fadchunk-8590d9263cd2cd4fa583c432fc54e6c3chunk-54bdd22db1f84a965b5f4c06c9216d8dchunk-02baee20cc9463dbe08170a8e1043e32chunk-90d5764e301321c087f5a8f78b73a145chunk-91572b3cd42786ba4cb2f180ca25cbf4chunk-1d4b58de5429cd1261370c231c8673e8chunk-da2472b4ef2a535b62908f14d0fb0ca9chunk-94bea83e7153fc2064aa382b494936a1chunk-89777b838d5447c7bd1ec11282c4ee89chunk-99b0ec7f7e006561352b5d65e849611dchunk-74e2466de2f67fd710ef2f20c0a8d9e0chunk-5dac41b3f9eeaf794f0147400b1718cd'}> -2024-10-29 13:46:36,090 - lightrag - INFO - get_node:query:MATCH (n:`KEYHOLE`) RETURN n:result: -2024-10-29 13:46:36,237 - lightrag - INFO - get_node:query:MATCH (n:`THE PHANTOM`) RETURN n:result: -2024-10-29 13:46:36,346 - lightrag - INFO - get_node:query:MATCH (n:`FROST`) RETURN n:result: -2024-10-29 13:46:36,450 - lightrag - INFO - get_node:query:MATCH (n:`THE COSMIC SIGNIFICANCE`) RETURN n:result: -2024-10-29 13:46:36,555 - lightrag - INFO - get_node:query:MATCH (n:`THE ROOM BY DAYLIGHT`) RETURN n:result: -2024-10-29 13:46:36,662 - lightrag - INFO - get_node:query:MATCH (n:`THE TRANSPARENT WINDOW`) RETURN n:result: -2024-10-29 13:46:36,764 - lightrag - INFO - get_node:query:MATCH (n:`HUMANITY`) RETURN n:result: -2024-10-29 13:46:36,871 - lightrag - INFO - get_node:query:MATCH (n:`THE CHAIN`) RETURN n:result:"The Chain symbolizes the burdens of the past that haunt the spirits, showcasing the consequences of one\'s actions in life."', 'source_id': 'chunk-359187e7571bda4b0b08b2e0b6581e52chunk-cb661c37436355ccec2769b1d0350c5f'}> -2024-10-29 13:46:36,972 - lightrag - INFO - get_node:query:MATCH (n:`THE BED`) RETURN n:result: -2024-10-29 13:46:37,073 - lightrag - INFO - get_node:query:MATCH (n:`THE SETTING SUN`) RETURN n:result: -2024-10-29 13:46:37,186 - lightrag - INFO - get_node:query:MATCH (n:`MAN`) RETURN n:result: -2024-10-29 13:46:37,291 - lightrag - INFO - get_node:query:MATCH (n:`THE CANDLE`) RETURN n:result: -2024-10-29 13:46:37,391 - lightrag - INFO - get_node:query:MATCH (n:`THE SPRING`) RETURN n:result: -2024-10-29 13:46:37,498 - lightrag - INFO - get_node:query:MATCH (n:`THE COLD`) RETURN n:result: -2024-10-29 13:46:37,601 - lightrag - INFO - get_node:query:MATCH (n:`THE FIREPLACE`) RETURN n:result: -2024-10-29 13:46:37,701 - lightrag - INFO - get_node:query:MATCH (n:`FEARFUL PLACE`) RETURN n:result: -2024-10-29 13:46:37,800 - lightrag - INFO - get_node:query:MATCH (n:`SCROOGE`) RETURN n:result:chunk-b2f98bc7abb0c67d4c86055c7fd72218chunk-91614df5cb74cbe5e109a338a82041e9chunk-8f738cb25d60a7dab782162d9d0a25edchunk-e7637ff18c5ded77a68cce0a87883fadchunk-d9aac3484185ac66045df92214d245d5chunk-90b95db5c53e4364a6bee36b7aa4d70fchunk-89777b838d5447c7bd1ec11282c4ee89chunk-c6c248858d1b13ab7ee9ca13c1aeed6bchunk-5dac41b3f9eeaf794f0147400b1718cdchunk-773d0df1dd25c356f7b771d780583e09chunk-843b5b2f944c7413d9ca876e2e2f151fchunk-f1a4fbcf1ed86864b9bfd5e8dba4c683chunk-359187e7571bda4b0b08b2e0b6581e52chunk-503f0bfa5453467c7c61d160a3540ecachunk-9c43dac2fcd5b578242d907ea6f8fc7bchunk-b0f459f5af1c3a5e0b92cbe4ee48b77bchunk-1aa50206d02ed89418f65f97c6441d1cchunk-54bdd22db1f84a965b5f4c06c9216d8dchunk-cb661c37436355ccec2769b1d0350c5fchunk-90d5764e301321c087f5a8f78b73a145chunk-91572b3cd42786ba4cb2f180ca25cbf4chunk-da2472b4ef2a535b62908f14d0fb0ca9chunk-99b0ec7f7e006561352b5d65e849611dchunk-43c9bee23adfa77aa9dedd22401bba7dchunk-83ac129dc9b56f84c46760d153d68e93chunk-e1f29eeadc1d8ab46dc8a0bbd3c56b64chunk-8590d9263cd2cd4fa583c432fc54e6c3chunk-02baee20cc9463dbe08170a8e1043e32chunk-94bea83e7153fc2064aa382b494936a1chunk-74e2466de2f67fd710ef2f20c0a8d9e0chunk-19d72c57ae3408758b18d2568e86dc6b'}> -2024-10-29 13:46:37,900 - lightrag - INFO - get_node:query:MATCH (n:`SHADOW OF HIMSELF`) RETURN n:result: -2024-10-29 13:46:38,000 - lightrag - INFO - get_node:query:MATCH (n:`THE DARK ROOM`) RETURN n:result: -2024-10-29 13:46:38,097 - lightrag - INFO - get_node:query:MATCH (n:`KEYS`) RETURN n:result: -2024-10-29 13:46:38,223 - lightrag - INFO - get_node:query:MATCH (n:`THE CANDLE-LIGHT`) RETURN n:result: -2024-10-29 13:46:38,330 - lightrag - INFO - get_node:query:MATCH (n:`CHRISTMAS-TIME`) RETURN n:result:"Christmas-time represents the festive season, a recurring theme that evokes memories and emotions in Scrooge’s reflections.""Christmas-time serves as a backdrop for the narrative, emphasizing themes of reflection, mortality, and social interactions."', 'source_id': 'chunk-f1a4fbcf1ed86864b9bfd5e8dba4c683chunk-c6c248858d1b13ab7ee9ca13c1aeed6bchunk-5dac41b3f9eeaf794f0147400b1718cd'}> -2024-10-29 13:46:38,464 - lightrag - INFO - get_node:query:MATCH (n:`THE GRAVE`) RETURN n:result: -2024-10-29 13:46:38,562 - lightrag - INFO - get_node:query:MATCH (n:`WINTER DAY`) RETURN n:result: -2024-10-29 13:46:38,665 - lightrag - INFO - get_node:query:MATCH (n:`THE THREE SPIRITS`) RETURN n:result: -2024-10-29 13:46:38,763 - lightrag - INFO - get_node:query:MATCH (n:`THE CLOTHES AND ITEMS`) RETURN n:result: -2024-10-29 13:46:38,866 - lightrag - INFO - get_node:query:MATCH (n:`THE SHIP`) RETURN n:result: -2024-10-29 13:46:38,966 - lightrag - INFO - get_node:query:MATCH (n:`THE DAUGHTER`) RETURN n:result: -2024-10-29 13:46:39,064 - lightrag - INFO - get_node:query:MATCH (n:`THE PENANCE`) RETURN n:result: -2024-10-29 13:46:39,162 - lightrag - INFO - get_node:query:MATCH (n:`CITY`) RETURN n:result:"The City represents the urban setting where Scrooge witnesses the indifference of its inhabitants regarding his death.""The City represents the urban setting where Scrooge\'s transformation takes place, symbolizing the broader society impacted by his changes."', 'source_id': 'chunk-843b5b2f944c7413d9ca876e2e2f151fchunk-94bea83e7153fc2064aa382b494936a1chunk-02baee20cc9463dbe08170a8e1043e32'}> -2024-10-29 13:46:39,260 - lightrag - INFO - get_node:query:MATCH (n:`THE BLANKETS`) RETURN n:result: -2024-10-29 13:46:39,359 - lightrag - INFO - get_node:query:MATCH (n:`THE FLANNEL BAG`) RETURN n:result: -2024-10-29 13:46:39,458 - lightrag - INFO - get_node:query:MATCH (n:`THE BEDROOM`) RETURN n:result: -2024-10-29 13:46:39,555 - lightrag - INFO - get_node:query:MATCH (n:`THE CLOCK`) RETURN n:result:"The Clock is mentioned as malfunctioning, which symbolizes the confusion and distortion of time that Scrooge experiences during his nighttime visitations."', 'source_id': 'chunk-c7b10789a9cb0af6c553730b29bd9034chunk-cb661c37436355ccec2769b1d0350c5f'}> -2024-10-29 13:46:39,652 - lightrag - INFO - get_node:query:MATCH (n:`IRON CABLE`) RETURN n:result: -2024-10-29 13:46:39,749 - lightrag - INFO - get_node:query:MATCH (n:`THE DARK NIGHT`) RETURN n:result: -2024-10-29 13:46:39,845 - lightrag - INFO - get_node:query:MATCH (n:`DEEDS`) RETURN n:result: -2024-10-29 13:46:39,944 - lightrag - INFO - get_node:query:MATCH (n:`THE SOLITARY CHILD`) RETURN n:result: -2024-10-29 13:46:40,040 - lightrag - INFO - get_node:query:MATCH (n:`THE BOTTLE`) RETURN n:result: -2024-10-29 13:46:40,138 - lightrag - INFO - get_node:query:MATCH (n:`POVERTY`) RETURN n:result: -2024-10-29 13:46:40,233 - lightrag - INFO - get_node:query:MATCH (n:`THE MOTHER`) RETURN n:result:"The Mother is a character associated with the family dynamics during the Christmas scene, though her actions are not explicitly detailed.""The Mother is depicted as a comely matron, who enjoys the laughter and chaos with her children, showing warmth and family value."', 'source_id': 'chunk-da2472b4ef2a535b62908f14d0fb0ca9chunk-83ac129dc9b56f84c46760d153d68e93chunk-54bdd22db1f84a965b5f4c06c9216d8d'}> -2024-10-29 13:46:40,333 - lightrag - INFO - get_node:query:MATCH (n:`SPIRIT`) RETURN n:result:"The Spirit embodies the lessons of compassion and social responsibility, guiding Scrooge through his reflections and realizations.""The Spirit is the manifestation of Scrooge\'s past that guides him through his memories, representing his former self and the influence of time.""The Spirit represents a ghostly entity, guiding Scrooge through visions of potential future events and urging him to acknowledge societal issues.""The Spirit represents a supernatural entity guiding Scrooge through his reflections on life, death, and human emotions, prompting self-awareness.""The Spirit represents the embodiment of the Christmas present, personifying the themes of generosity and merriment."', 'source_id': 'chunk-bb21d58d36c6306fd8810ddd51c4a971chunk-83ac129dc9b56f84c46760d153d68e93chunk-e7637ff18c5ded77a68cce0a87883fadchunk-843b5b2f944c7413d9ca876e2e2f151fchunk-1aa50206d02ed89418f65f97c6441d1cchunk-02baee20cc9463dbe08170a8e1043e32'}> -2024-10-29 13:46:40,436 - lightrag - INFO - get_node:query:MATCH (n:`THE LIGHTHOUSE`) RETURN n:result: -2024-10-29 13:46:40,534 - lightrag - INFO - get_node:query:MATCH (n:`TWO YOUNG CRATCHITS`) RETURN n:result: -2024-10-29 13:46:40,629 - lightrag - INFO - get_node:query:MATCH (n:`WANT`) RETURN n:result: -2024-10-29 13:46:40,727 - lightrag - INFO - get_node:query:MATCH (n:`LONDON`) RETURN n:result:"London serves as the setting where the events take place, adding a cultural backdrop to the Christmas gathering."', 'source_id': 'chunk-d9aac3484185ac66045df92214d245d5chunk-43c9bee23adfa77aa9dedd22401bba7d'}> -2024-10-29 13:46:40,826 - lightrag - INFO - get_node:query:MATCH (n:`DREAM`) RETURN n:result: -2024-10-29 13:46:40,923 - lightrag - INFO - get_node:query:MATCH (n:`JOE`) RETURN n:result:"Joe is a marine-store dealer depicted as receiving stolen goods, illustrating the consequences of crime and the darker sides of society.""Joe is portrayed as a character engaged in a conversation about the deceased, displaying a mix of humor and practicality in dealing with the possessions of the dead."', 'source_id': 'chunk-89777b838d5447c7bd1ec11282c4ee89chunk-9e3921da66da5d761ab73cd849af6c43chunk-e1f29eeadc1d8ab46dc8a0bbd3c56b64'}> -2024-10-29 13:46:41,031 - lightrag - INFO - get_node:query:MATCH (n:`PADLOCKS`) RETURN n:result: -2024-10-29 13:46:41,144 - lightrag - INFO - get_node:query:MATCH (n:`IGNORANCE`) RETURN n:result:"Ignorance is personified as a boy that symbolizes the dangers of ignoring social issues and the consequences of a lack of awareness."', 'source_id': 'chunk-02baee20cc9463dbe08170a8e1043e32chunk-e7637ff18c5ded77a68cce0a87883fad'}> -2024-10-29 13:46:41,257 - lightrag - INFO - get_node:query:MATCH (n:`THE WORK ON THE TABLE`) RETURN n:result: -2024-10-29 13:46:41,355 - lightrag - INFO - get_node:query:MATCH (n:`THE FOG`) RETURN n:result: -2024-10-29 13:46:41,457 - lightrag - INFO - get_node:query:MATCH (n:`THE CITY`) RETURN n:result:"The City represents the bustling urban environment where Scrooge reflects on his past, filled with activity and shadowy figures.""The City, from which Scrooge is transported, represents his past life and is contrasted with the open country road that signifies his memories."', 'source_id': 'chunk-bb21d58d36c6306fd8810ddd51c4a971chunk-c6c248858d1b13ab7ee9ca13c1aeed6bchunk-74e2466de2f67fd710ef2f20c0a8d9e0'}> -2024-10-29 13:51:39,719 - lightrag - INFO - Logger initialized for working directory: ./neo4jWorkDir -2024-10-29 13:51:39,719 - lightrag - DEBUG - LightRAG init with param: - working_dir = ./neo4jWorkDir, - chunk_token_size = 1200, - chunk_overlap_token_size = 100, - tiktoken_model_name = gpt-4o-mini, - entity_extract_max_gleaning = 1, - entity_summary_to_max_tokens = 500, - node_embedding_algorithm = node2vec, - node2vec_params = {'dimensions': 1536, 'num_walks': 10, 'walk_length': 40, 'window_size': 2, 'iterations': 3, 'random_seed': 3}, - embedding_func = {'embedding_dim': 1536, 'max_token_size': 8192, 'func': }, - embedding_batch_num = 32, - embedding_func_max_async = 16, - llm_model_func = , - llm_model_name = meta-llama/Llama-3.2-1B-Instruct, - llm_model_max_token_size = 32768, - llm_model_max_async = 16, - key_string_value_json_storage_cls = , - vector_db_storage_cls = , - vector_db_storage_cls_kwargs = {}, - graph_storage_cls = , - enable_llm_cache = True, - addon_params = {}, - convert_response_to_json_func = - -2024-10-29 13:51:39,720 - lightrag - INFO - Load KV full_docs with 1 data -2024-10-29 13:51:39,720 - lightrag - INFO - Load KV text_chunks with 42 data -2024-10-29 13:51:39,721 - lightrag - INFO - Load KV llm_response_cache with 86 data -2024-10-29 13:51:39,745 - lightrag - INFO - Creating a new event loop in a sub-thread. -2024-10-29 13:51:39,746 - lightrag - WARNING - All docs are already in the storage -2024-10-29 13:51:39,767 - lightrag - INFO - Creating a new event loop in a sub-thread. -2024-10-29 13:51:40,368 - lightrag - INFO - Truncate 39 to 3 chunks -2024-10-29 13:51:40,380 - lightrag - INFO - Creating a new event loop in a sub-thread. -2024-10-29 13:51:42,430 - lightrag - INFO - get_node:query:MATCH (n:`EMOTION`) RETURN n:result: -2024-10-29 13:51:42,534 - lightrag - INFO - get_node:query:MATCH (n:`DARKNESS`) RETURN n:result: -2024-10-29 13:51:42,636 - lightrag - INFO - get_node:query:MATCH (n:`THE COSMIC SIGNIFICANCE`) RETURN n:result: -2024-10-29 13:51:42,737 - lightrag - INFO - get_node:query:MATCH (n:`PONDEROUS CHAIN`) RETURN n:result: -2024-10-29 13:51:42,837 - lightrag - INFO - get_node:query:MATCH (n:`HUMANITY`) RETURN n:result: -2024-10-29 13:51:42,940 - lightrag - INFO - get_node:query:MATCH (n:`THE PHANTOM`) RETURN n:result: -2024-10-29 13:51:43,044 - lightrag - INFO - get_node:query:MATCH (n:`CHRISTMAS`) RETURN n:result:"Christmas is a festive occasion that has led to a joyful transformation in Scrooge\'s character and actions.""Christmas is a festive time celebrated by the Cratchit family, symbolizing joy, family togetherness, and generosity.""Christmas is a significant holiday that serves as the backdrop for Scrooge\'s transformation and the events that unfold during the narrative.""Christmas is a significant holiday that triggers Scrooge\'s memories and reflections on joy, loneliness, and his past.""Christmas is central to the text, symbolizing generosity, charity, and warmth that Scrooge rejects.""Christmas is depicted as a festive season when charity and social duty are emphasized, contrasting with Scrooge\'s values.""Christmas is depicted as a time associated with joy and abundance, contrasting with Scrooge\'s initial views.""Christmas is depicted as a time of joy and communal spirit, marked by people\'s activities and interactions in the streets.""Christmas is depicted as a time of joy and generosity, contrasting sharply with Scrooge\'s past behavior and current solitude.""Christmas is portrayed as a festive time that Scrooge dismisses, emphasizing the contrast between joy and his miserable attitude.""Christmas is portrayed as a time of joy, reflection, and connection, emphasizing the positive impact of the holiday spirit on individuals and communities.""Christmas is presented as a time for merriment and social gatherings, which Scrooge\'s nephew advocates for despite his uncle\'s opposition.""Christmas is the central holiday during which the events unfold, leading to significant character transformations and themes of generosity.""Christmas is the season during which festive activities and celebrations are occurring, including dances and gatherings.""Christmas represents a time of reflection and change for Scrooge, emphasizing themes of redemption.""Christmas serves as a thematic backdrop for the story, symbolizing redemption, generosity, and the spirit of giving."', 'source_id': 'chunk-91614df5cb74cbe5e109a338a82041e9chunk-503f0bfa5453467c7c61d160a3540ecachunk-773d0df1dd25c356f7b771d780583e09chunk-8f738cb25d60a7dab782162d9d0a25edchunk-e7637ff18c5ded77a68cce0a87883fadchunk-8590d9263cd2cd4fa583c432fc54e6c3chunk-54bdd22db1f84a965b5f4c06c9216d8dchunk-02baee20cc9463dbe08170a8e1043e32chunk-90d5764e301321c087f5a8f78b73a145chunk-91572b3cd42786ba4cb2f180ca25cbf4chunk-1d4b58de5429cd1261370c231c8673e8chunk-da2472b4ef2a535b62908f14d0fb0ca9chunk-94bea83e7153fc2064aa382b494936a1chunk-89777b838d5447c7bd1ec11282c4ee89chunk-99b0ec7f7e006561352b5d65e849611dchunk-74e2466de2f67fd710ef2f20c0a8d9e0chunk-5dac41b3f9eeaf794f0147400b1718cd'}> -2024-10-29 13:51:43,148 - lightrag - INFO - get_node:query:MATCH (n:`DEATH`) RETURN n:result:"Death is described as a powerful force in the narrative, represented through the imagery of a cold, rigid presence and the contemplation of mortality.""Death refers to the passing of a character that triggers a range of emotions and reflections among the living, influencing their lives and relationships."', 'source_id': 'chunk-e1f29eeadc1d8ab46dc8a0bbd3c56b64chunk-83ac129dc9b56f84c46760d153d68e93chunk-02baee20cc9463dbe08170a8e1043e32'}> -2024-10-29 13:51:43,248 - lightrag - INFO - get_node:query:MATCH (n:`CHRISTMAS HOLIDAYS`) RETURN n:result: -2024-10-29 13:51:43,344 - lightrag - INFO - get_node:query:MATCH (n:`SCROOGE`) RETURN n:result:chunk-b2f98bc7abb0c67d4c86055c7fd72218chunk-91614df5cb74cbe5e109a338a82041e9chunk-8f738cb25d60a7dab782162d9d0a25edchunk-e7637ff18c5ded77a68cce0a87883fadchunk-d9aac3484185ac66045df92214d245d5chunk-90b95db5c53e4364a6bee36b7aa4d70fchunk-89777b838d5447c7bd1ec11282c4ee89chunk-c6c248858d1b13ab7ee9ca13c1aeed6bchunk-5dac41b3f9eeaf794f0147400b1718cdchunk-773d0df1dd25c356f7b771d780583e09chunk-843b5b2f944c7413d9ca876e2e2f151fchunk-f1a4fbcf1ed86864b9bfd5e8dba4c683chunk-359187e7571bda4b0b08b2e0b6581e52chunk-503f0bfa5453467c7c61d160a3540ecachunk-9c43dac2fcd5b578242d907ea6f8fc7bchunk-b0f459f5af1c3a5e0b92cbe4ee48b77bchunk-1aa50206d02ed89418f65f97c6441d1cchunk-54bdd22db1f84a965b5f4c06c9216d8dchunk-cb661c37436355ccec2769b1d0350c5fchunk-90d5764e301321c087f5a8f78b73a145chunk-91572b3cd42786ba4cb2f180ca25cbf4chunk-da2472b4ef2a535b62908f14d0fb0ca9chunk-99b0ec7f7e006561352b5d65e849611dchunk-43c9bee23adfa77aa9dedd22401bba7dchunk-83ac129dc9b56f84c46760d153d68e93chunk-e1f29eeadc1d8ab46dc8a0bbd3c56b64chunk-8590d9263cd2cd4fa583c432fc54e6c3chunk-02baee20cc9463dbe08170a8e1043e32chunk-94bea83e7153fc2064aa382b494936a1chunk-74e2466de2f67fd710ef2f20c0a8d9e0chunk-19d72c57ae3408758b18d2568e86dc6b'}> -2024-10-29 13:51:43,441 - lightrag - INFO - get_node:query:MATCH (n:`THE PENANCE`) RETURN n:result: -2024-10-29 13:51:43,543 - lightrag - INFO - get_node:query:MATCH (n:`THE GRAVE`) RETURN n:result: -2024-10-29 13:51:43,645 - lightrag - INFO - get_node:query:MATCH (n:`RUSTY KEYS, NAILS, CHAINS, HINGES`) RETURN n:result: -2024-10-29 13:51:43,745 - lightrag - INFO - get_node:query:MATCH (n:`MAN`) RETURN n:result: -2024-10-29 13:51:43,841 - lightrag - INFO - get_node:query:MATCH (n:`KEYHOLE`) RETURN n:result: -2024-10-29 13:51:43,938 - lightrag - INFO - get_node:query:MATCH (n:`THE CHAIN`) RETURN n:result:"The Chain symbolizes the burdens of the past that haunt the spirits, showcasing the consequences of one\'s actions in life."', 'source_id': 'chunk-359187e7571bda4b0b08b2e0b6581e52chunk-cb661c37436355ccec2769b1d0350c5f'}> -2024-10-29 13:51:44,038 - lightrag - INFO - get_node:query:MATCH (n:`THE THREE SPIRITS`) RETURN n:result: -2024-10-29 13:51:44,138 - lightrag - INFO - get_node:query:MATCH (n:`THE BLESSED STAR`) RETURN n:result: -2024-10-29 13:51:44,238 - lightrag - INFO - get_node:query:MATCH (n:`THE SCHOOLMASTER`) RETURN n:result: -2024-10-29 13:51:44,332 - lightrag - INFO - get_node:query:MATCH (n:`KEYS`) RETURN n:result: -2024-10-29 13:51:44,429 - lightrag - INFO - get_node:query:MATCH (n:`SCHOOL`) RETURN n:result: -2024-10-29 13:51:44,526 - lightrag - INFO - get_node:query:MATCH (n:`THE COLD`) RETURN n:result: -2024-10-29 13:51:44,621 - lightrag - INFO - get_node:query:MATCH (n:`THE TRANSPARENT WINDOW`) RETURN n:result: -2024-10-29 13:51:44,716 - lightrag - INFO - get_node:query:MATCH (n:`AVARICE`) RETURN n:result: -2024-10-29 13:51:44,816 - lightrag - INFO - get_node:query:MATCH (n:`SPIRIT`) RETURN n:result:"The Spirit embodies the lessons of compassion and social responsibility, guiding Scrooge through his reflections and realizations.""The Spirit is the manifestation of Scrooge\'s past that guides him through his memories, representing his former self and the influence of time.""The Spirit represents a ghostly entity, guiding Scrooge through visions of potential future events and urging him to acknowledge societal issues.""The Spirit represents a supernatural entity guiding Scrooge through his reflections on life, death, and human emotions, prompting self-awareness.""The Spirit represents the embodiment of the Christmas present, personifying the themes of generosity and merriment."', 'source_id': 'chunk-bb21d58d36c6306fd8810ddd51c4a971chunk-83ac129dc9b56f84c46760d153d68e93chunk-e7637ff18c5ded77a68cce0a87883fadchunk-843b5b2f944c7413d9ca876e2e2f151fchunk-1aa50206d02ed89418f65f97c6441d1cchunk-02baee20cc9463dbe08170a8e1043e32'}> -2024-10-29 13:51:44,917 - lightrag - INFO - get_node:query:MATCH (n:`DEEDS`) RETURN n:result: -2024-10-29 13:51:45,017 - lightrag - INFO - get_node:query:MATCH (n:`FEARFUL PLACE`) RETURN n:result: -2024-10-29 13:51:45,115 - lightrag - INFO - get_node:query:MATCH (n:`CITY`) RETURN n:result:"The City represents the urban setting where Scrooge witnesses the indifference of its inhabitants regarding his death.""The City represents the urban setting where Scrooge\'s transformation takes place, symbolizing the broader society impacted by his changes."', 'source_id': 'chunk-843b5b2f944c7413d9ca876e2e2f151fchunk-94bea83e7153fc2064aa382b494936a1chunk-02baee20cc9463dbe08170a8e1043e32'}> -2024-10-29 13:51:45,211 - lightrag - INFO - get_node:query:MATCH (n:`IRON CABLE`) RETURN n:result: -2024-10-29 13:51:45,309 - lightrag - INFO - get_node:query:MATCH (n:`POVERTY`) RETURN n:result: -2024-10-29 13:51:45,403 - lightrag - INFO - get_node:query:MATCH (n:`THE CANDLE`) RETURN n:result: -2024-10-29 13:51:45,501 - lightrag - INFO - get_node:query:MATCH (n:`THE BED`) RETURN n:result: -2024-10-29 13:51:45,598 - lightrag - INFO - get_node:query:MATCH (n:`WANT`) RETURN n:result: -2024-10-29 13:51:45,696 - lightrag - INFO - get_node:query:MATCH (n:`SUNDAY CLOTHES BOY`) RETURN n:result: -2024-10-29 13:51:45,794 - lightrag - INFO - get_node:query:MATCH (n:`THE ROOM BY DAYLIGHT`) RETURN n:result: -2024-10-29 13:51:45,890 - lightrag - INFO - get_node:query:MATCH (n:`THE BOTTLE`) RETURN n:result: -2024-10-29 13:51:45,988 - lightrag - INFO - get_node:query:MATCH (n:`SHADOW OF HIMSELF`) RETURN n:result: -2024-10-29 13:51:46,085 - lightrag - INFO - get_node:query:MATCH (n:`IGNORANCE`) RETURN n:result:"Ignorance is personified as a boy that symbolizes the dangers of ignoring social issues and the consequences of a lack of awareness."', 'source_id': 'chunk-02baee20cc9463dbe08170a8e1043e32chunk-e7637ff18c5ded77a68cce0a87883fad'}> -2024-10-29 13:51:46,184 - lightrag - INFO - get_node:query:MATCH (n:`THE FIREPLACE`) RETURN n:result: -2024-10-29 13:51:46,280 - lightrag - INFO - get_node:query:MATCH (n:`GAOL`) RETURN n:result: -2024-10-29 13:51:46,382 - lightrag - INFO - get_node:query:MATCH (n:`GHOST`) RETURN n:result:"The Ghost refers to the spirit guiding Scrooge, embodying the themes of memory and reflection on the joys of Christmas.""The Ghost represents a spiritual guide that takes Scrooge on a journey to learn important lessons about compassion and humanity.""The Ghost serves as a supernatural guide for Scrooge, prompting him to reflect on his life and choices."', 'source_id': 'chunk-503f0bfa5453467c7c61d160a3540ecachunk-c6c248858d1b13ab7ee9ca13c1aeed6bchunk-e7637ff18c5ded77a68cce0a87883fadchunk-43c9bee23adfa77aa9dedd22401bba7d'}> -2024-10-29 13:51:46,479 - lightrag - INFO - get_node:query:MATCH (n:`THE SETTING SUN`) RETURN n:result: -2024-10-29 13:51:46,574 - lightrag - INFO - get_node:query:MATCH (n:`CHILDREN`) RETURN n:result:"The Children represent the joyful, carefree aspects of Scrooge\'s past, embodying happiness and the innocence of youth that he has long forgotten."', 'source_id': 'chunk-bb21d58d36c6306fd8810ddd51c4a971chunk-e7637ff18c5ded77a68cce0a87883fad'}> -2024-10-29 13:51:46,694 - lightrag - INFO - get_node:query:MATCH (n:`FROST`) RETURN n:result: -2024-10-29 13:51:46,813 - lightrag - INFO - get_node:query:MATCH (n:`KIND WORD`) RETURN n:result: -2024-10-29 13:51:46,917 - lightrag - INFO - get_node:query:MATCH (n:`THE SPIRITS`) RETURN n:result:"The Spirits represent the past, present, and future in Scrooge\'s life, guiding him toward redemption and self-reflection."', 'source_id': 'chunk-90b95db5c53e4364a6bee36b7aa4d70fchunk-cb661c37436355ccec2769b1d0350c5f'}> -2024-10-29 13:51:47,014 - lightrag - INFO - get_node:query:MATCH (n:`THE CLOTHES AND ITEMS`) RETURN n:result: -2024-10-29 13:51:47,116 - lightrag - INFO - get_node:query:MATCH (n:`THE CANDLE-LIGHT`) RETURN n:result: -2024-10-29 13:51:47,210 - lightrag - INFO - get_node:query:MATCH (n:`MERCILESS CREDITOR`) RETURN n:result: -2024-10-29 13:51:47,310 - lightrag - INFO - get_node:query:MATCH (n:`THE SOLITARY CHILD`) RETURN n:result: -2024-10-29 13:51:47,410 - lightrag - INFO - get_node:query:MATCH (n:`CHRISTMAS-TIME`) RETURN n:result:"Christmas-time represents the festive season, a recurring theme that evokes memories and emotions in Scrooge’s reflections.""Christmas-time serves as a backdrop for the narrative, emphasizing themes of reflection, mortality, and social interactions."', 'source_id': 'chunk-f1a4fbcf1ed86864b9bfd5e8dba4c683chunk-c6c248858d1b13ab7ee9ca13c1aeed6bchunk-5dac41b3f9eeaf794f0147400b1718cd'}> -2024-10-29 13:51:47,510 - lightrag - INFO - get_node:query:MATCH (n:`THE DAUGHTER`) RETURN n:result: -2024-10-29 13:51:47,610 - lightrag - INFO - get_node:query:MATCH (n:`TWO YOUNG CRATCHITS`) RETURN n:result: -2024-10-29 13:51:47,705 - lightrag - INFO - get_node:query:MATCH (n:`THE FLANNEL BAG`) RETURN n:result: -2024-10-29 13:51:47,801 - lightrag - INFO - get_node:query:MATCH (n:`BUSINESS`) RETURN n:result: -2024-10-29 13:51:47,902 - lightrag - INFO - get_node:query:MATCH (n:`PADLOCKS`) RETURN n:result: -2024-10-29 13:51:47,996 - lightrag - INFO - get_node:query:MATCH (n:`LIGHT`) RETURN n:result: -2024-10-29 13:51:48,094 - lightrag - INFO - get_node:query:MATCH (n:`THE CITY`) RETURN n:result:"The City represents the bustling urban environment where Scrooge reflects on his past, filled with activity and shadowy figures.""The City, from which Scrooge is transported, represents his past life and is contrasted with the open country road that signifies his memories."', 'source_id': 'chunk-bb21d58d36c6306fd8810ddd51c4a971chunk-c6c248858d1b13ab7ee9ca13c1aeed6bchunk-74e2466de2f67fd710ef2f20c0a8d9e0'}> -2024-10-29 13:51:48,197 - lightrag - INFO - get_node:query:MATCH (n:`THE CHAISE`) RETURN n:result: -2024-10-29 13:51:48,293 - lightrag - INFO - get_node:query:MATCH (n:`THE BEDROOM`) RETURN n:result: -2024-10-29 14:13:57,337 - lightrag - INFO - Logger initialized for working directory: ./neo4jWorkDir -2024-10-29 14:13:57,338 - lightrag - DEBUG - LightRAG init with param: - working_dir = ./neo4jWorkDir, - chunk_token_size = 1200, - chunk_overlap_token_size = 100, - tiktoken_model_name = gpt-4o-mini, - entity_extract_max_gleaning = 1, - entity_summary_to_max_tokens = 500, - node_embedding_algorithm = node2vec, - node2vec_params = {'dimensions': 1536, 'num_walks': 10, 'walk_length': 40, 'window_size': 2, 'iterations': 3, 'random_seed': 3}, - embedding_func = {'embedding_dim': 1536, 'max_token_size': 8192, 'func': }, - embedding_batch_num = 32, - embedding_func_max_async = 16, - llm_model_func = , - llm_model_name = meta-llama/Llama-3.2-1B-Instruct, - llm_model_max_token_size = 32768, - llm_model_max_async = 16, - key_string_value_json_storage_cls = , - vector_db_storage_cls = , - vector_db_storage_cls_kwargs = {}, - graph_storage_cls = , - enable_llm_cache = True, - addon_params = {}, - convert_response_to_json_func = - -2024-10-29 14:13:57,338 - lightrag - INFO - Load KV full_docs with 1 data -2024-10-29 14:13:57,339 - lightrag - INFO - Load KV text_chunks with 42 data -2024-10-29 14:13:57,340 - lightrag - INFO - Load KV llm_response_cache with 86 data -2024-10-29 14:13:57,362 - lightrag - INFO - Creating a new event loop in a sub-thread. -2024-10-29 14:13:57,363 - lightrag - WARNING - All docs are already in the storage -2024-10-29 14:13:57,386 - lightrag - INFO - Creating a new event loop in a sub-thread. -2024-10-29 14:13:58,057 - lightrag - INFO - Truncate 39 to 3 chunks -2024-10-29 14:13:58,068 - lightrag - INFO - Creating a new event loop in a sub-thread. -2024-10-29 14:14:00,124 - lightrag - INFO - get_node:query:MATCH (n:`EMOTION`) RETURN n:result: -2024-10-29 14:14:00,224 - lightrag - INFO - get_node:query:MATCH (n:`DARKNESS`) RETURN n:result: -2024-10-29 14:14:00,323 - lightrag - INFO - get_node:query:MATCH (n:`CHRISTMAS`) RETURN n:result:"Christmas is a festive occasion that has led to a joyful transformation in Scrooge\'s character and actions.""Christmas is a festive time celebrated by the Cratchit family, symbolizing joy, family togetherness, and generosity.""Christmas is a significant holiday that serves as the backdrop for Scrooge\'s transformation and the events that unfold during the narrative.""Christmas is a significant holiday that triggers Scrooge\'s memories and reflections on joy, loneliness, and his past.""Christmas is central to the text, symbolizing generosity, charity, and warmth that Scrooge rejects.""Christmas is depicted as a festive season when charity and social duty are emphasized, contrasting with Scrooge\'s values.""Christmas is depicted as a time associated with joy and abundance, contrasting with Scrooge\'s initial views.""Christmas is depicted as a time of joy and communal spirit, marked by people\'s activities and interactions in the streets.""Christmas is depicted as a time of joy and generosity, contrasting sharply with Scrooge\'s past behavior and current solitude.""Christmas is portrayed as a festive time that Scrooge dismisses, emphasizing the contrast between joy and his miserable attitude.""Christmas is portrayed as a time of joy, reflection, and connection, emphasizing the positive impact of the holiday spirit on individuals and communities.""Christmas is presented as a time for merriment and social gatherings, which Scrooge\'s nephew advocates for despite his uncle\'s opposition.""Christmas is the central holiday during which the events unfold, leading to significant character transformations and themes of generosity.""Christmas is the season during which festive activities and celebrations are occurring, including dances and gatherings.""Christmas represents a time of reflection and change for Scrooge, emphasizing themes of redemption.""Christmas serves as a thematic backdrop for the story, symbolizing redemption, generosity, and the spirit of giving."', 'source_id': 'chunk-91614df5cb74cbe5e109a338a82041e9chunk-503f0bfa5453467c7c61d160a3540ecachunk-773d0df1dd25c356f7b771d780583e09chunk-8f738cb25d60a7dab782162d9d0a25edchunk-e7637ff18c5ded77a68cce0a87883fadchunk-8590d9263cd2cd4fa583c432fc54e6c3chunk-54bdd22db1f84a965b5f4c06c9216d8dchunk-02baee20cc9463dbe08170a8e1043e32chunk-90d5764e301321c087f5a8f78b73a145chunk-91572b3cd42786ba4cb2f180ca25cbf4chunk-1d4b58de5429cd1261370c231c8673e8chunk-da2472b4ef2a535b62908f14d0fb0ca9chunk-94bea83e7153fc2064aa382b494936a1chunk-89777b838d5447c7bd1ec11282c4ee89chunk-99b0ec7f7e006561352b5d65e849611dchunk-74e2466de2f67fd710ef2f20c0a8d9e0chunk-5dac41b3f9eeaf794f0147400b1718cd'}> -2024-10-29 14:14:00,434 - lightrag - INFO - get_node:query:MATCH (n:`THE SETTING SUN`) RETURN n:result: -2024-10-29 14:14:00,570 - lightrag - INFO - get_node:query:MATCH (n:`DEATH`) RETURN n:result:"Death is described as a powerful force in the narrative, represented through the imagery of a cold, rigid presence and the contemplation of mortality.""Death refers to the passing of a character that triggers a range of emotions and reflections among the living, influencing their lives and relationships."', 'source_id': 'chunk-e1f29eeadc1d8ab46dc8a0bbd3c56b64chunk-83ac129dc9b56f84c46760d153d68e93chunk-02baee20cc9463dbe08170a8e1043e32'}> -2024-10-29 14:14:00,665 - lightrag - INFO - get_node:query:MATCH (n:`THE FIREPLACE`) RETURN n:result: -2024-10-29 14:14:00,761 - lightrag - INFO - get_node:query:MATCH (n:`RUSTY KEYS, NAILS, CHAINS, HINGES`) RETURN n:result: -2024-10-29 14:14:00,854 - lightrag - INFO - get_node:query:MATCH (n:`CHRISTMAS HOLIDAYS`) RETURN n:result: -2024-10-29 14:14:00,954 - lightrag - INFO - get_node:query:MATCH (n:`THE BED`) RETURN n:result: -2024-10-29 14:14:01,047 - lightrag - INFO - get_node:query:MATCH (n:`THE COSMIC SIGNIFICANCE`) RETURN n:result: -2024-10-29 14:14:01,146 - lightrag - INFO - get_node:query:MATCH (n:`THE PHANTOM`) RETURN n:result: -2024-10-29 14:14:01,240 - lightrag - INFO - get_node:query:MATCH (n:`KEYS`) RETURN n:result: -2024-10-29 14:14:01,332 - lightrag - INFO - get_node:query:MATCH (n:`PONDEROUS CHAIN`) RETURN n:result: -2024-10-29 14:14:01,430 - lightrag - INFO - get_node:query:MATCH (n:`THE ROOM BY DAYLIGHT`) RETURN n:result: -2024-10-29 14:14:01,532 - lightrag - INFO - get_node:query:MATCH (n:`THE DARK ROOM`) RETURN n:result: -2024-10-29 14:14:01,632 - lightrag - INFO - get_node:query:MATCH (n:`FEARFUL PLACE`) RETURN n:result: -2024-10-29 14:14:01,727 - lightrag - INFO - get_node:query:MATCH (n:`THE COLD`) RETURN n:result: -2024-10-29 14:14:01,825 - lightrag - INFO - get_node:query:MATCH (n:`LONDON`) RETURN n:result:"London serves as the setting where the events take place, adding a cultural backdrop to the Christmas gathering."', 'source_id': 'chunk-d9aac3484185ac66045df92214d245d5chunk-43c9bee23adfa77aa9dedd22401bba7d'}> -2024-10-29 14:14:01,922 - lightrag - INFO - get_node:query:MATCH (n:`THE BOTTLE`) RETURN n:result: -2024-10-29 14:14:02,022 - lightrag - INFO - get_node:query:MATCH (n:`CITY`) RETURN n:result:"The City represents the urban setting where Scrooge witnesses the indifference of its inhabitants regarding his death.""The City represents the urban setting where Scrooge\'s transformation takes place, symbolizing the broader society impacted by his changes."', 'source_id': 'chunk-843b5b2f944c7413d9ca876e2e2f151fchunk-94bea83e7153fc2064aa382b494936a1chunk-02baee20cc9463dbe08170a8e1043e32'}> -2024-10-29 14:14:02,117 - lightrag - INFO - get_node:query:MATCH (n:`FROST`) RETURN n:result: -2024-10-29 14:14:02,212 - lightrag - INFO - get_node:query:MATCH (n:`SCROOGE`) RETURN n:result:chunk-b2f98bc7abb0c67d4c86055c7fd72218chunk-91614df5cb74cbe5e109a338a82041e9chunk-8f738cb25d60a7dab782162d9d0a25edchunk-e7637ff18c5ded77a68cce0a87883fadchunk-d9aac3484185ac66045df92214d245d5chunk-90b95db5c53e4364a6bee36b7aa4d70fchunk-89777b838d5447c7bd1ec11282c4ee89chunk-c6c248858d1b13ab7ee9ca13c1aeed6bchunk-5dac41b3f9eeaf794f0147400b1718cdchunk-773d0df1dd25c356f7b771d780583e09chunk-843b5b2f944c7413d9ca876e2e2f151fchunk-f1a4fbcf1ed86864b9bfd5e8dba4c683chunk-359187e7571bda4b0b08b2e0b6581e52chunk-503f0bfa5453467c7c61d160a3540ecachunk-9c43dac2fcd5b578242d907ea6f8fc7bchunk-b0f459f5af1c3a5e0b92cbe4ee48b77bchunk-1aa50206d02ed89418f65f97c6441d1cchunk-54bdd22db1f84a965b5f4c06c9216d8dchunk-cb661c37436355ccec2769b1d0350c5fchunk-90d5764e301321c087f5a8f78b73a145chunk-91572b3cd42786ba4cb2f180ca25cbf4chunk-da2472b4ef2a535b62908f14d0fb0ca9chunk-99b0ec7f7e006561352b5d65e849611dchunk-43c9bee23adfa77aa9dedd22401bba7dchunk-83ac129dc9b56f84c46760d153d68e93chunk-e1f29eeadc1d8ab46dc8a0bbd3c56b64chunk-8590d9263cd2cd4fa583c432fc54e6c3chunk-02baee20cc9463dbe08170a8e1043e32chunk-94bea83e7153fc2064aa382b494936a1chunk-74e2466de2f67fd710ef2f20c0a8d9e0chunk-19d72c57ae3408758b18d2568e86dc6b'}> -2024-10-29 14:14:02,308 - lightrag - INFO - get_node:query:MATCH (n:`THE BEDROOM`) RETURN n:result: -2024-10-29 14:14:02,402 - lightrag - INFO - get_node:query:MATCH (n:`THE GRAVE`) RETURN n:result: -2024-10-29 14:14:02,496 - lightrag - INFO - get_node:query:MATCH (n:`THE TRANSPARENT WINDOW`) RETURN n:result: -2024-10-29 14:14:02,590 - lightrag - INFO - get_node:query:MATCH (n:`CHRISTMAS-TIME`) RETURN n:result:"Christmas-time represents the festive season, a recurring theme that evokes memories and emotions in Scrooge’s reflections.""Christmas-time serves as a backdrop for the narrative, emphasizing themes of reflection, mortality, and social interactions."', 'source_id': 'chunk-f1a4fbcf1ed86864b9bfd5e8dba4c683chunk-c6c248858d1b13ab7ee9ca13c1aeed6bchunk-5dac41b3f9eeaf794f0147400b1718cd'}> -2024-10-29 14:14:02,686 - lightrag - INFO - get_node:query:MATCH (n:`HUMANITY`) RETURN n:result: -2024-10-29 14:14:02,780 - lightrag - INFO - get_node:query:MATCH (n:`SCHOOL`) RETURN n:result: -2024-10-29 14:14:02,873 - lightrag - INFO - get_node:query:MATCH (n:`THE CANDLE`) RETURN n:result: -2024-10-29 14:14:02,967 - lightrag - INFO - get_node:query:MATCH (n:`THE HOUSE`) RETURN n:result:"The House is the setting where Scrooge experiences the haunting, with a description of its features contributing to the eerie atmosphere."', 'source_id': 'chunk-da2472b4ef2a535b62908f14d0fb0ca9chunk-9c43dac2fcd5b578242d907ea6f8fc7b'}> -2024-10-29 14:14:03,078 - lightrag - INFO - get_node:query:MATCH (n:`THE CLOTHES AND ITEMS`) RETURN n:result: -2024-10-29 14:14:03,184 - lightrag - INFO - get_node:query:MATCH (n:`WINTER DAY`) RETURN n:result: -2024-10-29 14:14:03,370 - lightrag - INFO - get_node:query:MATCH (n:`KEYHOLE`) RETURN n:result: -2024-10-29 14:14:03,467 - lightrag - INFO - get_node:query:MATCH (n:`THE CHAIN`) RETURN n:result:"The Chain symbolizes the burdens of the past that haunt the spirits, showcasing the consequences of one\'s actions in life."', 'source_id': 'chunk-359187e7571bda4b0b08b2e0b6581e52chunk-cb661c37436355ccec2769b1d0350c5f'}> -2024-10-29 14:14:03,561 - lightrag - INFO - get_node:query:MATCH (n:`THE DAUGHTER`) RETURN n:result: -2024-10-29 14:14:03,658 - lightrag - INFO - get_node:query:MATCH (n:`THE DARK NIGHT`) RETURN n:result: -2024-10-29 14:14:03,751 - lightrag - INFO - get_node:query:MATCH (n:`DEEDS`) RETURN n:result: -2024-10-29 14:14:03,845 - lightrag - INFO - get_node:query:MATCH (n:`THE PENANCE`) RETURN n:result: -2024-10-29 14:14:03,939 - lightrag - INFO - get_node:query:MATCH (n:`SPIRIT`) RETURN n:result:"The Spirit embodies the lessons of compassion and social responsibility, guiding Scrooge through his reflections and realizations.""The Spirit is the manifestation of Scrooge\'s past that guides him through his memories, representing his former self and the influence of time.""The Spirit represents a ghostly entity, guiding Scrooge through visions of potential future events and urging him to acknowledge societal issues.""The Spirit represents a supernatural entity guiding Scrooge through his reflections on life, death, and human emotions, prompting self-awareness.""The Spirit represents the embodiment of the Christmas present, personifying the themes of generosity and merriment."', 'source_id': 'chunk-bb21d58d36c6306fd8810ddd51c4a971chunk-83ac129dc9b56f84c46760d153d68e93chunk-e7637ff18c5ded77a68cce0a87883fadchunk-843b5b2f944c7413d9ca876e2e2f151fchunk-1aa50206d02ed89418f65f97c6441d1cchunk-02baee20cc9463dbe08170a8e1043e32'}> -2024-10-29 14:14:04,032 - lightrag - INFO - get_node:query:MATCH (n:`THE MOTHER`) RETURN n:result:"The Mother is a character associated with the family dynamics during the Christmas scene, though her actions are not explicitly detailed.""The Mother is depicted as a comely matron, who enjoys the laughter and chaos with her children, showing warmth and family value."', 'source_id': 'chunk-da2472b4ef2a535b62908f14d0fb0ca9chunk-83ac129dc9b56f84c46760d153d68e93chunk-54bdd22db1f84a965b5f4c06c9216d8d'}> -2024-10-29 14:14:04,125 - lightrag - INFO - get_node:query:MATCH (n:`THE CITY`) RETURN n:result:"The City represents the bustling urban environment where Scrooge reflects on his past, filled with activity and shadowy figures.""The City, from which Scrooge is transported, represents his past life and is contrasted with the open country road that signifies his memories."', 'source_id': 'chunk-bb21d58d36c6306fd8810ddd51c4a971chunk-c6c248858d1b13ab7ee9ca13c1aeed6bchunk-74e2466de2f67fd710ef2f20c0a8d9e0'}> -2024-10-29 14:14:04,219 - lightrag - INFO - get_node:query:MATCH (n:`THE THREE SPIRITS`) RETURN n:result: -2024-10-29 14:14:04,309 - lightrag - INFO - get_node:query:MATCH (n:`THE SPRING`) RETURN n:result: -2024-10-29 14:14:04,401 - lightrag - INFO - get_node:query:MATCH (n:`THE FLANNEL BAG`) RETURN n:result: -2024-10-29 14:14:04,497 - lightrag - INFO - get_node:query:MATCH (n:`THE CANDLE-LIGHT`) RETURN n:result: -2024-10-29 14:14:04,590 - lightrag - INFO - get_node:query:MATCH (n:`CHRISTMAS FEAST`) RETURN n:result: -2024-10-29 14:14:04,686 - lightrag - INFO - get_node:query:MATCH (n:`THE CHAISE`) RETURN n:result: -2024-10-29 14:14:04,784 - lightrag - INFO - get_node:query:MATCH (n:`SHADOW OF HIMSELF`) RETURN n:result: -2024-10-29 14:14:04,877 - lightrag - INFO - get_node:query:MATCH (n:`POVERTY`) RETURN n:result: -2024-10-29 14:14:04,968 - lightrag - INFO - get_node:query:MATCH (n:`AVARICE`) RETURN n:result: -2024-10-29 14:14:05,063 - lightrag - INFO - get_node:query:MATCH (n:`SUNDAY CLOTHES BOY`) RETURN n:result: -2024-10-29 14:14:05,157 - lightrag - INFO - get_node:query:MATCH (n:`THE DARKNESS`) RETURN n:result: -2024-10-29 14:14:05,250 - lightrag - INFO - get_node:query:MATCH (n:`FOUR-ROOMED HOUSE`) RETURN n:result: -2024-10-29 14:14:05,344 - lightrag - INFO - get_node:query:MATCH (n:`THE BLESSED STAR`) RETURN n:result: -2024-10-29 14:14:05,442 - lightrag - INFO - get_node:query:MATCH (n:`LIGHT`) RETURN n:result: -2024-10-29 14:14:05,539 - lightrag - INFO - get_node:query:MATCH (n:`WANT`) RETURN n:result: -2024-10-29 14:14:05,652 - lightrag - INFO - get_node:query:MATCH (n:`TWO YOUNG CRATCHITS`) RETURN n:result: -2024-10-29 14:14:05,746 - lightrag - INFO - get_node:query:MATCH (n:`THE SHIP`) RETURN n:result: -2024-10-29 14:14:05,879 - lightrag - INFO - get_node:query:MATCH (n:`THE CLOCK`) RETURN n:result:"The Clock is mentioned as malfunctioning, which symbolizes the confusion and distortion of time that Scrooge experiences during his nighttime visitations."', 'source_id': 'chunk-c7b10789a9cb0af6c553730b29bd9034chunk-cb661c37436355ccec2769b1d0350c5f'}> -2024-10-29 14:14:05,977 - lightrag - INFO - get_node:query:MATCH (n:`THE DARK CHAMBER`) RETURN n:result: -2024-10-29 14:14:06,122 - lightrag - INFO - _find_node_degree:query: - MATCH (n:`EMOTION`) - RETURN COUNT{ (n)--() } AS totalEdgeCount - :result:0 -2024-10-29 14:14:06,298 - lightrag - INFO - _find_node_degree:query: - MATCH (n:`DARKNESS`) - RETURN COUNT{ (n)--() } AS totalEdgeCount - :result:1 -2024-10-29 14:14:06,478 - lightrag - INFO - _find_node_degree:query: - MATCH (n:`CHRISTMAS`) - RETURN COUNT{ (n)--() } AS totalEdgeCount - :result:18 -2024-10-29 14:14:06,659 - lightrag - INFO - _find_node_degree:query: - MATCH (n:`THE SETTING SUN`) - RETURN COUNT{ (n)--() } AS totalEdgeCount - :result:1 -2024-10-29 14:14:06,844 - lightrag - INFO - _find_node_degree:query: - MATCH (n:`DEATH`) - RETURN COUNT{ (n)--() } AS totalEdgeCount - :result:3 -2024-10-29 14:14:07,026 - lightrag - INFO - _find_node_degree:query: - MATCH (n:`THE FIREPLACE`) - RETURN COUNT{ (n)--() } AS totalEdgeCount - :result:0 -2024-10-29 14:14:07,204 - lightrag - INFO - _find_node_degree:query: - MATCH (n:`RUSTY KEYS, NAILS, CHAINS, HINGES`) - RETURN COUNT{ (n)--() } AS totalEdgeCount - :result:1 -2024-10-29 14:14:07,383 - lightrag - INFO - _find_node_degree:query: - MATCH (n:`CHRISTMAS HOLIDAYS`) - RETURN COUNT{ (n)--() } AS totalEdgeCount - :result:0 -2024-10-29 14:14:07,560 - lightrag - INFO - _find_node_degree:query: - MATCH (n:`THE BED`) - RETURN COUNT{ (n)--() } AS totalEdgeCount - :result:1 -2024-10-29 14:14:07,743 - lightrag - INFO - _find_node_degree:query: - MATCH (n:`THE COSMIC SIGNIFICANCE`) - RETURN COUNT{ (n)--() } AS totalEdgeCount - :result:0 -2024-10-29 14:14:07,927 - lightrag - INFO - _find_node_degree:query: - MATCH (n:`THE PHANTOM`) - RETURN COUNT{ (n)--() } AS totalEdgeCount - :result:2 -2024-10-29 14:14:08,101 - lightrag - INFO - _find_node_degree:query: - MATCH (n:`KEYS`) - RETURN COUNT{ (n)--() } AS totalEdgeCount - :result:0 -2024-10-29 14:14:08,277 - lightrag - INFO - _find_node_degree:query: - MATCH (n:`PONDEROUS CHAIN`) - RETURN COUNT{ (n)--() } AS totalEdgeCount - :result:0 -2024-10-29 14:14:08,459 - lightrag - INFO - _find_node_degree:query: - MATCH (n:`THE ROOM BY DAYLIGHT`) - RETURN COUNT{ (n)--() } AS totalEdgeCount - :result:0 -2024-10-29 14:14:08,634 - lightrag - INFO - _find_node_degree:query: - MATCH (n:`THE DARK ROOM`) - RETURN COUNT{ (n)--() } AS totalEdgeCount - :result:0 -2024-10-29 14:14:08,813 - lightrag - INFO - _find_node_degree:query: - MATCH (n:`FEARFUL PLACE`) - RETURN COUNT{ (n)--() } AS totalEdgeCount - :result:0 -2024-10-29 14:14:08,991 - lightrag - INFO - _find_node_degree:query: - MATCH (n:`THE COLD`) - RETURN COUNT{ (n)--() } AS totalEdgeCount - :result:1 -2024-10-29 14:14:09,169 - lightrag - INFO - _find_node_degree:query: - MATCH (n:`LONDON`) - RETURN COUNT{ (n)--() } AS totalEdgeCount - :result:1 -2024-10-29 14:14:09,346 - lightrag - INFO - _find_node_degree:query: - MATCH (n:`THE BOTTLE`) - RETURN COUNT{ (n)--() } AS totalEdgeCount - :result:0 -2024-10-29 14:14:09,525 - lightrag - INFO - _find_node_degree:query: - MATCH (n:`CITY`) - RETURN COUNT{ (n)--() } AS totalEdgeCount - :result:1 -2024-10-29 14:14:09,709 - lightrag - INFO - _find_node_degree:query: - MATCH (n:`FROST`) - RETURN COUNT{ (n)--() } AS totalEdgeCount - :result:1 -2024-10-29 14:14:09,884 - lightrag - INFO - _find_node_degree:query: - MATCH (n:`SCROOGE`) - RETURN COUNT{ (n)--() } AS totalEdgeCount - :result:100 -2024-10-29 14:14:10,061 - lightrag - INFO - _find_node_degree:query: - MATCH (n:`THE BEDROOM`) - RETURN COUNT{ (n)--() } AS totalEdgeCount - :result:1 -2024-10-29 14:14:10,235 - lightrag - INFO - _find_node_degree:query: - MATCH (n:`THE GRAVE`) - RETURN COUNT{ (n)--() } AS totalEdgeCount - :result:1 -2024-10-29 14:14:10,412 - lightrag - INFO - _find_node_degree:query: - MATCH (n:`THE TRANSPARENT WINDOW`) - RETURN COUNT{ (n)--() } AS totalEdgeCount - :result:0 -2024-10-29 14:14:10,584 - lightrag - INFO - _find_node_degree:query: - MATCH (n:`CHRISTMAS-TIME`) - RETURN COUNT{ (n)--() } AS totalEdgeCount - :result:2 -2024-10-29 14:14:10,795 - lightrag - INFO - _find_node_degree:query: - MATCH (n:`HUMANITY`) - RETURN COUNT{ (n)--() } AS totalEdgeCount - :result:1 -2024-10-29 14:14:10,971 - lightrag - INFO - _find_node_degree:query: - MATCH (n:`SCHOOL`) - RETURN COUNT{ (n)--() } AS totalEdgeCount - :result:2 -2024-10-29 14:14:11,144 - lightrag - INFO - _find_node_degree:query: - MATCH (n:`THE CANDLE`) - RETURN COUNT{ (n)--() } AS totalEdgeCount - :result:1 -2024-10-29 14:14:11,319 - lightrag - INFO - _find_node_degree:query: - MATCH (n:`THE HOUSE`) - RETURN COUNT{ (n)--() } AS totalEdgeCount - :result:2 -2024-10-29 14:14:11,496 - lightrag - INFO - _find_node_degree:query: - MATCH (n:`THE CLOTHES AND ITEMS`) - RETURN COUNT{ (n)--() } AS totalEdgeCount - :result:0 -2024-10-29 14:14:11,672 - lightrag - INFO - _find_node_degree:query: - MATCH (n:`WINTER DAY`) - RETURN COUNT{ (n)--() } AS totalEdgeCount - :result:0 -2024-10-29 14:14:11,848 - lightrag - INFO - _find_node_degree:query: - MATCH (n:`KEYHOLE`) - RETURN COUNT{ (n)--() } AS totalEdgeCount - :result:0 -2024-10-29 14:14:12,030 - lightrag - INFO - _find_node_degree:query: - MATCH (n:`THE CHAIN`) - RETURN COUNT{ (n)--() } AS totalEdgeCount - :result:0 -2024-10-29 14:14:12,206 - lightrag - INFO - _find_node_degree:query: - MATCH (n:`THE DAUGHTER`) - RETURN COUNT{ (n)--() } AS totalEdgeCount - :result:1 -2024-10-29 14:14:12,377 - lightrag - INFO - _find_node_degree:query: - MATCH (n:`THE DARK NIGHT`) - RETURN COUNT{ (n)--() } AS totalEdgeCount - :result:0 -2024-10-29 14:14:12,557 - lightrag - INFO - _find_node_degree:query: - MATCH (n:`DEEDS`) - RETURN COUNT{ (n)--() } AS totalEdgeCount - :result:0 -2024-10-29 14:14:12,736 - lightrag - INFO - _find_node_degree:query: - MATCH (n:`THE PENANCE`) - RETURN COUNT{ (n)--() } AS totalEdgeCount - :result:0 -2024-10-29 14:14:12,914 - lightrag - INFO - _find_node_degree:query: - MATCH (n:`SPIRIT`) - RETURN COUNT{ (n)--() } AS totalEdgeCount - :result:9 -2024-10-29 14:14:13,087 - lightrag - INFO - _find_node_degree:query: - MATCH (n:`THE MOTHER`) - RETURN COUNT{ (n)--() } AS totalEdgeCount - :result:2 -2024-10-29 14:14:13,263 - lightrag - INFO - _find_node_degree:query: - MATCH (n:`THE CITY`) - RETURN COUNT{ (n)--() } AS totalEdgeCount - :result:3 -2024-10-29 14:14:13,439 - lightrag - INFO - _find_node_degree:query: - MATCH (n:`THE THREE SPIRITS`) - RETURN COUNT{ (n)--() } AS totalEdgeCount - :result:1 -2024-10-29 14:14:13,612 - lightrag - INFO - _find_node_degree:query: - MATCH (n:`THE SPRING`) - RETURN COUNT{ (n)--() } AS totalEdgeCount - :result:0 -2024-10-29 14:14:13,786 - lightrag - INFO - _find_node_degree:query: - MATCH (n:`THE FLANNEL BAG`) - RETURN COUNT{ (n)--() } AS totalEdgeCount - :result:0 -2024-10-29 14:14:13,964 - lightrag - INFO - _find_node_degree:query: - MATCH (n:`THE CANDLE-LIGHT`) - RETURN COUNT{ (n)--() } AS totalEdgeCount - :result:0 -2024-10-29 14:14:14,144 - lightrag - INFO - _find_node_degree:query: - MATCH (n:`CHRISTMAS FEAST`) - RETURN COUNT{ (n)--() } AS totalEdgeCount - :result:1 -2024-10-29 14:14:14,321 - lightrag - INFO - _find_node_degree:query: - MATCH (n:`THE CHAISE`) - RETURN COUNT{ (n)--() } AS totalEdgeCount - :result:0 -2024-10-29 14:14:14,516 - lightrag - INFO - _find_node_degree:query: - MATCH (n:`SHADOW OF HIMSELF`) - RETURN COUNT{ (n)--() } AS totalEdgeCount - :result:1 -2024-10-29 14:14:14,701 - lightrag - INFO - _find_node_degree:query: - MATCH (n:`POVERTY`) - RETURN COUNT{ (n)--() } AS totalEdgeCount - :result:1 -2024-10-29 14:14:14,877 - lightrag - INFO - _find_node_degree:query: - MATCH (n:`AVARICE`) - RETURN COUNT{ (n)--() } AS totalEdgeCount - :result:0 -2024-10-29 14:14:15,052 - lightrag - INFO - _find_node_degree:query: - MATCH (n:`SUNDAY CLOTHES BOY`) - RETURN COUNT{ (n)--() } AS totalEdgeCount - :result:1 -2024-10-29 14:14:15,221 - lightrag - INFO - _find_node_degree:query: - MATCH (n:`THE DARKNESS`) - RETURN COUNT{ (n)--() } AS totalEdgeCount - :result:0 -2024-10-29 14:14:15,394 - lightrag - INFO - _find_node_degree:query: - MATCH (n:`FOUR-ROOMED HOUSE`) - RETURN COUNT{ (n)--() } AS totalEdgeCount - :result:0 -2024-10-29 14:14:15,568 - lightrag - INFO - _find_node_degree:query: - MATCH (n:`THE BLESSED STAR`) - RETURN COUNT{ (n)--() } AS totalEdgeCount - :result:0 -2024-10-29 14:14:15,738 - lightrag - INFO - _find_node_degree:query: - MATCH (n:`LIGHT`) - RETURN COUNT{ (n)--() } AS totalEdgeCount - :result:1 -2024-10-29 14:14:15,912 - lightrag - INFO - _find_node_degree:query: - MATCH (n:`WANT`) - RETURN COUNT{ (n)--() } AS totalEdgeCount - :result:1 -2024-10-29 14:14:16,086 - lightrag - INFO - _find_node_degree:query: - MATCH (n:`TWO YOUNG CRATCHITS`) - RETURN COUNT{ (n)--() } AS totalEdgeCount - :result:0 -2024-10-29 14:14:16,258 - lightrag - INFO - _find_node_degree:query: - MATCH (n:`THE SHIP`) - RETURN COUNT{ (n)--() } AS totalEdgeCount - :result:1 -2024-10-29 14:14:16,432 - lightrag - INFO - _find_node_degree:query: - MATCH (n:`THE CLOCK`) - RETURN COUNT{ (n)--() } AS totalEdgeCount - :result:2 -2024-10-29 14:14:16,603 - lightrag - INFO - _find_node_degree:query: - MATCH (n:`THE DARK CHAMBER`) - RETURN COUNT{ (n)--() } AS totalEdgeCount - :result:0 -2024-10-29 15:05:08,372 - lightrag - INFO - Logger initialized for working directory: ./neo4jWorkDir -2024-10-29 15:05:08,373 - lightrag - DEBUG - LightRAG init with param: - working_dir = ./neo4jWorkDir, - chunk_token_size = 1200, - chunk_overlap_token_size = 100, - tiktoken_model_name = gpt-4o-mini, - entity_extract_max_gleaning = 1, - entity_summary_to_max_tokens = 500, - node_embedding_algorithm = node2vec, - node2vec_params = {'dimensions': 1536, 'num_walks': 10, 'walk_length': 40, 'window_size': 2, 'iterations': 3, 'random_seed': 3}, - embedding_func = {'embedding_dim': 1536, 'max_token_size': 8192, 'func': }, - embedding_batch_num = 32, - embedding_func_max_async = 16, - llm_model_func = , - llm_model_name = meta-llama/Llama-3.2-1B-Instruct, - llm_model_max_token_size = 32768, - llm_model_max_async = 16, - key_string_value_json_storage_cls = , - vector_db_storage_cls = , - vector_db_storage_cls_kwargs = {}, - graph_storage_cls = , - enable_llm_cache = True, - addon_params = {}, - convert_response_to_json_func = - -2024-10-29 15:05:08,373 - lightrag - INFO - Load KV full_docs with 1 data -2024-10-29 15:05:08,374 - lightrag - INFO - Load KV text_chunks with 42 data -2024-10-29 15:05:08,375 - lightrag - INFO - Load KV llm_response_cache with 86 data -2024-10-29 15:05:08,397 - lightrag - INFO - Creating a new event loop in a sub-thread. -2024-10-29 15:05:08,398 - lightrag - WARNING - All docs are already in the storage -2024-10-29 15:05:08,428 - lightrag - INFO - Creating a new event loop in a sub-thread. -2024-10-29 15:05:09,062 - lightrag - INFO - Truncate 39 to 3 chunks -2024-10-29 15:05:09,074 - lightrag - INFO - Creating a new event loop in a sub-thread. -2024-10-29 15:05:11,074 - lightrag - INFO - get_node:query:MATCH (n:`EMOTION`) RETURN n:result: -2024-10-29 15:05:11,202 - lightrag - INFO - get_node:query:MATCH (n:`DARKNESS`) RETURN n:result: -2024-10-29 15:05:11,321 - lightrag - INFO - get_node:query:MATCH (n:`THE SETTING SUN`) RETURN n:result: -2024-10-29 15:05:11,473 - lightrag - INFO - get_node:query:MATCH (n:`CHRISTMAS`) RETURN n:result:"Christmas is a festive occasion that has led to a joyful transformation in Scrooge\'s character and actions.""Christmas is a festive time celebrated by the Cratchit family, symbolizing joy, family togetherness, and generosity.""Christmas is a significant holiday that serves as the backdrop for Scrooge\'s transformation and the events that unfold during the narrative.""Christmas is a significant holiday that triggers Scrooge\'s memories and reflections on joy, loneliness, and his past.""Christmas is central to the text, symbolizing generosity, charity, and warmth that Scrooge rejects.""Christmas is depicted as a festive season when charity and social duty are emphasized, contrasting with Scrooge\'s values.""Christmas is depicted as a time associated with joy and abundance, contrasting with Scrooge\'s initial views.""Christmas is depicted as a time of joy and communal spirit, marked by people\'s activities and interactions in the streets.""Christmas is depicted as a time of joy and generosity, contrasting sharply with Scrooge\'s past behavior and current solitude.""Christmas is portrayed as a festive time that Scrooge dismisses, emphasizing the contrast between joy and his miserable attitude.""Christmas is portrayed as a time of joy, reflection, and connection, emphasizing the positive impact of the holiday spirit on individuals and communities.""Christmas is presented as a time for merriment and social gatherings, which Scrooge\'s nephew advocates for despite his uncle\'s opposition.""Christmas is the central holiday during which the events unfold, leading to significant character transformations and themes of generosity.""Christmas is the season during which festive activities and celebrations are occurring, including dances and gatherings.""Christmas represents a time of reflection and change for Scrooge, emphasizing themes of redemption.""Christmas serves as a thematic backdrop for the story, symbolizing redemption, generosity, and the spirit of giving."', 'source_id': 'chunk-91614df5cb74cbe5e109a338a82041e9chunk-503f0bfa5453467c7c61d160a3540ecachunk-773d0df1dd25c356f7b771d780583e09chunk-8f738cb25d60a7dab782162d9d0a25edchunk-e7637ff18c5ded77a68cce0a87883fadchunk-8590d9263cd2cd4fa583c432fc54e6c3chunk-54bdd22db1f84a965b5f4c06c9216d8dchunk-02baee20cc9463dbe08170a8e1043e32chunk-90d5764e301321c087f5a8f78b73a145chunk-91572b3cd42786ba4cb2f180ca25cbf4chunk-1d4b58de5429cd1261370c231c8673e8chunk-da2472b4ef2a535b62908f14d0fb0ca9chunk-94bea83e7153fc2064aa382b494936a1chunk-89777b838d5447c7bd1ec11282c4ee89chunk-99b0ec7f7e006561352b5d65e849611dchunk-74e2466de2f67fd710ef2f20c0a8d9e0chunk-5dac41b3f9eeaf794f0147400b1718cd'}> -2024-10-29 15:05:11,638 - lightrag - INFO - get_node:query:MATCH (n:`CHRISTMAS HOLIDAYS`) RETURN n:result: -2024-10-29 15:05:11,839 - lightrag - INFO - get_node:query:MATCH (n:`THE FIREPLACE`) RETURN n:result: -2024-10-29 15:05:11,966 - lightrag - INFO - get_node:query:MATCH (n:`PONDEROUS CHAIN`) RETURN n:result: -2024-10-29 15:05:12,076 - lightrag - INFO - get_node:query:MATCH (n:`THE PHANTOM`) RETURN n:result: -2024-10-29 15:05:12,185 - lightrag - INFO - get_node:query:MATCH (n:`DEATH`) RETURN n:result:"Death is described as a powerful force in the narrative, represented through the imagery of a cold, rigid presence and the contemplation of mortality.""Death refers to the passing of a character that triggers a range of emotions and reflections among the living, influencing their lives and relationships."', 'source_id': 'chunk-e1f29eeadc1d8ab46dc8a0bbd3c56b64chunk-83ac129dc9b56f84c46760d153d68e93chunk-02baee20cc9463dbe08170a8e1043e32'}> -2024-10-29 15:05:12,296 - lightrag - INFO - get_node:query:MATCH (n:`RUSTY KEYS, NAILS, CHAINS, HINGES`) RETURN n:result: -2024-10-29 15:05:12,406 - lightrag - INFO - get_node:query:MATCH (n:`THE ROOM BY DAYLIGHT`) RETURN n:result: -2024-10-29 15:05:12,518 - lightrag - INFO - get_node:query:MATCH (n:`THE COSMIC SIGNIFICANCE`) RETURN n:result: -2024-10-29 15:05:12,625 - lightrag - INFO - get_node:query:MATCH (n:`THE BED`) RETURN n:result: -2024-10-29 15:05:12,740 - lightrag - INFO - get_node:query:MATCH (n:`LONDON`) RETURN n:result:"London serves as the setting where the events take place, adding a cultural backdrop to the Christmas gathering."', 'source_id': 'chunk-d9aac3484185ac66045df92214d245d5chunk-43c9bee23adfa77aa9dedd22401bba7d'}> -2024-10-29 15:05:12,853 - lightrag - INFO - get_node:query:MATCH (n:`THE BOTTLE`) RETURN n:result: -2024-10-29 15:05:12,957 - lightrag - INFO - get_node:query:MATCH (n:`FEARFUL PLACE`) RETURN n:result: -2024-10-29 15:05:13,075 - lightrag - INFO - get_node:query:MATCH (n:`THE DARK ROOM`) RETURN n:result: -2024-10-29 15:05:13,186 - lightrag - INFO - get_node:query:MATCH (n:`FROST`) RETURN n:result: -2024-10-29 15:05:13,338 - lightrag - INFO - get_node:query:MATCH (n:`CHRISTMAS-TIME`) RETURN n:result:"Christmas-time represents the festive season, a recurring theme that evokes memories and emotions in Scrooge’s reflections.""Christmas-time serves as a backdrop for the narrative, emphasizing themes of reflection, mortality, and social interactions."', 'source_id': 'chunk-f1a4fbcf1ed86864b9bfd5e8dba4c683chunk-c6c248858d1b13ab7ee9ca13c1aeed6bchunk-5dac41b3f9eeaf794f0147400b1718cd'}> -2024-10-29 15:05:13,444 - lightrag - INFO - get_node:query:MATCH (n:`KEYS`) RETURN n:result: -2024-10-29 15:05:13,548 - lightrag - INFO - get_node:query:MATCH (n:`THE TRANSPARENT WINDOW`) RETURN n:result: -2024-10-29 15:05:13,656 - lightrag - INFO - get_node:query:MATCH (n:`SCROOGE`) RETURN n:result:chunk-b2f98bc7abb0c67d4c86055c7fd72218chunk-91614df5cb74cbe5e109a338a82041e9chunk-8f738cb25d60a7dab782162d9d0a25edchunk-e7637ff18c5ded77a68cce0a87883fadchunk-d9aac3484185ac66045df92214d245d5chunk-90b95db5c53e4364a6bee36b7aa4d70fchunk-89777b838d5447c7bd1ec11282c4ee89chunk-c6c248858d1b13ab7ee9ca13c1aeed6bchunk-5dac41b3f9eeaf794f0147400b1718cdchunk-773d0df1dd25c356f7b771d780583e09chunk-843b5b2f944c7413d9ca876e2e2f151fchunk-f1a4fbcf1ed86864b9bfd5e8dba4c683chunk-359187e7571bda4b0b08b2e0b6581e52chunk-503f0bfa5453467c7c61d160a3540ecachunk-9c43dac2fcd5b578242d907ea6f8fc7bchunk-b0f459f5af1c3a5e0b92cbe4ee48b77bchunk-1aa50206d02ed89418f65f97c6441d1cchunk-54bdd22db1f84a965b5f4c06c9216d8dchunk-cb661c37436355ccec2769b1d0350c5fchunk-90d5764e301321c087f5a8f78b73a145chunk-91572b3cd42786ba4cb2f180ca25cbf4chunk-da2472b4ef2a535b62908f14d0fb0ca9chunk-99b0ec7f7e006561352b5d65e849611dchunk-43c9bee23adfa77aa9dedd22401bba7dchunk-83ac129dc9b56f84c46760d153d68e93chunk-e1f29eeadc1d8ab46dc8a0bbd3c56b64chunk-8590d9263cd2cd4fa583c432fc54e6c3chunk-02baee20cc9463dbe08170a8e1043e32chunk-94bea83e7153fc2064aa382b494936a1chunk-74e2466de2f67fd710ef2f20c0a8d9e0chunk-19d72c57ae3408758b18d2568e86dc6b'}> -2024-10-29 15:05:13,760 - lightrag - INFO - get_node:query:MATCH (n:`THE COLD`) RETURN n:result: -2024-10-29 15:05:13,870 - lightrag - INFO - get_node:query:MATCH (n:`CITY`) RETURN n:result:"The City represents the urban setting where Scrooge witnesses the indifference of its inhabitants regarding his death.""The City represents the urban setting where Scrooge\'s transformation takes place, symbolizing the broader society impacted by his changes."', 'source_id': 'chunk-843b5b2f944c7413d9ca876e2e2f151fchunk-94bea83e7153fc2064aa382b494936a1chunk-02baee20cc9463dbe08170a8e1043e32'}> -2024-10-29 15:05:13,975 - lightrag - INFO - get_node:query:MATCH (n:`THE GRAVE`) RETURN n:result: -2024-10-29 15:05:14,080 - lightrag - INFO - get_node:query:MATCH (n:`THE HOUSE`) RETURN n:result:"The House is the setting where Scrooge experiences the haunting, with a description of its features contributing to the eerie atmosphere."', 'source_id': 'chunk-da2472b4ef2a535b62908f14d0fb0ca9chunk-9c43dac2fcd5b578242d907ea6f8fc7b'}> -2024-10-29 15:05:14,186 - lightrag - INFO - get_node:query:MATCH (n:`THE CHAIN`) RETURN n:result:"The Chain symbolizes the burdens of the past that haunt the spirits, showcasing the consequences of one\'s actions in life."', 'source_id': 'chunk-359187e7571bda4b0b08b2e0b6581e52chunk-cb661c37436355ccec2769b1d0350c5f'}> -2024-10-29 15:05:14,291 - lightrag - INFO - get_node:query:MATCH (n:`THE BEDROOM`) RETURN n:result: -2024-10-29 15:05:14,396 - lightrag - INFO - get_node:query:MATCH (n:`HUMANITY`) RETURN n:result: -2024-10-29 15:05:14,501 - lightrag - INFO - get_node:query:MATCH (n:`THE DAUGHTER`) RETURN n:result: -2024-10-29 15:05:14,604 - lightrag - INFO - get_node:query:MATCH (n:`WINTER DAY`) RETURN n:result: -2024-10-29 15:05:14,714 - lightrag - INFO - get_node:query:MATCH (n:`POVERTY`) RETURN n:result: -2024-10-29 15:05:14,820 - lightrag - INFO - get_node:query:MATCH (n:`THE CANDLE`) RETURN n:result: -2024-10-29 15:05:14,917 - lightrag - INFO - get_node:query:MATCH (n:`SCHOOL`) RETURN n:result: -2024-10-29 15:05:15,028 - lightrag - INFO - get_node:query:MATCH (n:`THE CLOTHES AND ITEMS`) RETURN n:result: -2024-10-29 15:05:15,129 - lightrag - INFO - get_node:query:MATCH (n:`AVARICE`) RETURN n:result: -2024-10-29 15:05:15,228 - lightrag - INFO - get_node:query:MATCH (n:`THE CHAISE`) RETURN n:result: -2024-10-29 15:05:15,332 - lightrag - INFO - get_node:query:MATCH (n:`DEEDS`) RETURN n:result: -2024-10-29 15:05:15,441 - lightrag - INFO - get_node:query:MATCH (n:`THE DARK NIGHT`) RETURN n:result: -2024-10-29 15:05:15,544 - lightrag - INFO - get_node:query:MATCH (n:`THE SPRING`) RETURN n:result: -2024-10-29 15:05:15,643 - lightrag - INFO - get_node:query:MATCH (n:`THE CITY`) RETURN n:result:"The City represents the bustling urban environment where Scrooge reflects on his past, filled with activity and shadowy figures.""The City, from which Scrooge is transported, represents his past life and is contrasted with the open country road that signifies his memories."', 'source_id': 'chunk-bb21d58d36c6306fd8810ddd51c4a971chunk-c6c248858d1b13ab7ee9ca13c1aeed6bchunk-74e2466de2f67fd710ef2f20c0a8d9e0'}> -2024-10-29 15:05:15,744 - lightrag - INFO - get_node:query:MATCH (n:`THE MOTHER`) RETURN n:result:"The Mother is a character associated with the family dynamics during the Christmas scene, though her actions are not explicitly detailed.""The Mother is depicted as a comely matron, who enjoys the laughter and chaos with her children, showing warmth and family value."', 'source_id': 'chunk-da2472b4ef2a535b62908f14d0fb0ca9chunk-83ac129dc9b56f84c46760d153d68e93chunk-54bdd22db1f84a965b5f4c06c9216d8d'}> -2024-10-29 15:05:15,866 - lightrag - INFO - get_node:query:MATCH (n:`THE THREE SPIRITS`) RETURN n:result: -2024-10-29 15:05:15,973 - lightrag - INFO - get_node:query:MATCH (n:`KEYHOLE`) RETURN n:result: -2024-10-29 15:05:16,106 - lightrag - INFO - get_node:query:MATCH (n:`THE PENANCE`) RETURN n:result: -2024-10-29 15:05:16,204 - lightrag - INFO - get_node:query:MATCH (n:`SPIRIT`) RETURN n:result:"The Spirit embodies the lessons of compassion and social responsibility, guiding Scrooge through his reflections and realizations.""The Spirit is the manifestation of Scrooge\'s past that guides him through his memories, representing his former self and the influence of time.""The Spirit represents a ghostly entity, guiding Scrooge through visions of potential future events and urging him to acknowledge societal issues.""The Spirit represents a supernatural entity guiding Scrooge through his reflections on life, death, and human emotions, prompting self-awareness.""The Spirit represents the embodiment of the Christmas present, personifying the themes of generosity and merriment."', 'source_id': 'chunk-bb21d58d36c6306fd8810ddd51c4a971chunk-83ac129dc9b56f84c46760d153d68e93chunk-e7637ff18c5ded77a68cce0a87883fadchunk-843b5b2f944c7413d9ca876e2e2f151fchunk-1aa50206d02ed89418f65f97c6441d1cchunk-02baee20cc9463dbe08170a8e1043e32'}> -2024-10-29 15:05:16,306 - lightrag - INFO - get_node:query:MATCH (n:`FOUR-ROOMED HOUSE`) RETURN n:result: -2024-10-29 15:05:16,405 - lightrag - INFO - get_node:query:MATCH (n:`THE CANDLE-LIGHT`) RETURN n:result: -2024-10-29 15:05:16,505 - lightrag - INFO - get_node:query:MATCH (n:`THE FLANNEL BAG`) RETURN n:result: -2024-10-29 15:05:16,606 - lightrag - INFO - get_node:query:MATCH (n:`SHADOW OF HIMSELF`) RETURN n:result: -2024-10-29 15:05:16,706 - lightrag - INFO - get_node:query:MATCH (n:`SUNDAY CLOTHES BOY`) RETURN n:result: -2024-10-29 15:05:16,808 - lightrag - INFO - get_node:query:MATCH (n:`CHRISTMAS FEAST`) RETURN n:result: -2024-10-29 15:05:16,908 - lightrag - INFO - get_node:query:MATCH (n:`THE CRATCHIT FAMILY`) RETURN n:result: -2024-10-29 15:05:17,009 - lightrag - INFO - get_node:query:MATCH (n:`TWO YOUNG CRATCHITS`) RETURN n:result: -2024-10-29 15:05:17,108 - lightrag - INFO - get_node:query:MATCH (n:`THE BLESSED STAR`) RETURN n:result: -2024-10-29 15:05:17,203 - lightrag - INFO - get_node:query:MATCH (n:`THE OBSCURE PART OF TOWN`) RETURN n:result: -2024-10-29 15:05:17,304 - lightrag - INFO - get_node:query:MATCH (n:`JOE`) RETURN n:result:"Joe is a marine-store dealer depicted as receiving stolen goods, illustrating the consequences of crime and the darker sides of society.""Joe is portrayed as a character engaged in a conversation about the deceased, displaying a mix of humor and practicality in dealing with the possessions of the dead."', 'source_id': 'chunk-89777b838d5447c7bd1ec11282c4ee89chunk-9e3921da66da5d761ab73cd849af6c43chunk-e1f29eeadc1d8ab46dc8a0bbd3c56b64'}> -2024-10-29 15:05:17,403 - lightrag - INFO - get_node:query:MATCH (n:`THE BANDAGE`) RETURN n:result: -2024-10-29 15:05:17,505 - lightrag - INFO - get_node:query:MATCH (n:`LIGHT`) RETURN n:result: -2024-10-29 15:05:17,602 - lightrag - INFO - get_node:query:MATCH (n:`PADLOCKS`) RETURN n:result: -2024-10-29 15:05:17,759 - lightrag - INFO - _find_node_degree:query: - MATCH (n:`EMOTION`) - RETURN COUNT{ (n)--() } AS totalEdgeCount - :result:0 -2024-10-29 15:05:17,945 - lightrag - INFO - _find_node_degree:query: - MATCH (n:`DARKNESS`) - RETURN COUNT{ (n)--() } AS totalEdgeCount - :result:1 -2024-10-29 15:05:18,124 - lightrag - INFO - _find_node_degree:query: - MATCH (n:`THE SETTING SUN`) - RETURN COUNT{ (n)--() } AS totalEdgeCount - :result:1 -2024-10-29 15:05:18,307 - lightrag - INFO - _find_node_degree:query: - MATCH (n:`CHRISTMAS`) - RETURN COUNT{ (n)--() } AS totalEdgeCount - :result:18 -2024-10-29 15:05:18,489 - lightrag - INFO - _find_node_degree:query: - MATCH (n:`CHRISTMAS HOLIDAYS`) - RETURN COUNT{ (n)--() } AS totalEdgeCount - :result:0 -2024-10-29 15:05:18,687 - lightrag - INFO - _find_node_degree:query: - MATCH (n:`THE FIREPLACE`) - RETURN COUNT{ (n)--() } AS totalEdgeCount - :result:0 -2024-10-29 15:05:18,886 - lightrag - INFO - _find_node_degree:query: - MATCH (n:`PONDEROUS CHAIN`) - RETURN COUNT{ (n)--() } AS totalEdgeCount - :result:0 -2024-10-29 15:05:19,071 - lightrag - INFO - _find_node_degree:query: - MATCH (n:`THE PHANTOM`) - RETURN COUNT{ (n)--() } AS totalEdgeCount - :result:2 -2024-10-29 15:05:19,250 - lightrag - INFO - _find_node_degree:query: - MATCH (n:`DEATH`) - RETURN COUNT{ (n)--() } AS totalEdgeCount - :result:3 -2024-10-29 15:05:19,432 - lightrag - INFO - _find_node_degree:query: - MATCH (n:`RUSTY KEYS, NAILS, CHAINS, HINGES`) - RETURN COUNT{ (n)--() } AS totalEdgeCount - :result:1 -2024-10-29 15:05:19,616 - lightrag - INFO - _find_node_degree:query: - MATCH (n:`THE ROOM BY DAYLIGHT`) - RETURN COUNT{ (n)--() } AS totalEdgeCount - :result:0 -2024-10-29 15:05:19,796 - lightrag - INFO - _find_node_degree:query: - MATCH (n:`THE COSMIC SIGNIFICANCE`) - RETURN COUNT{ (n)--() } AS totalEdgeCount - :result:0 -2024-10-29 15:05:19,978 - lightrag - INFO - _find_node_degree:query: - MATCH (n:`THE BED`) - RETURN COUNT{ (n)--() } AS totalEdgeCount - :result:1 -2024-10-29 15:05:20,183 - lightrag - INFO - _find_node_degree:query: - MATCH (n:`LONDON`) - RETURN COUNT{ (n)--() } AS totalEdgeCount - :result:1 -2024-10-29 15:05:20,371 - lightrag - INFO - _find_node_degree:query: - MATCH (n:`THE BOTTLE`) - RETURN COUNT{ (n)--() } AS totalEdgeCount - :result:0 -2024-10-29 15:05:20,548 - lightrag - INFO - _find_node_degree:query: - MATCH (n:`FEARFUL PLACE`) - RETURN COUNT{ (n)--() } AS totalEdgeCount - :result:0 -2024-10-29 15:05:20,733 - lightrag - INFO - _find_node_degree:query: - MATCH (n:`THE DARK ROOM`) - RETURN COUNT{ (n)--() } AS totalEdgeCount - :result:0 -2024-10-29 15:05:20,912 - lightrag - INFO - _find_node_degree:query: - MATCH (n:`FROST`) - RETURN COUNT{ (n)--() } AS totalEdgeCount - :result:1 -2024-10-29 15:05:21,087 - lightrag - INFO - _find_node_degree:query: - MATCH (n:`CHRISTMAS-TIME`) - RETURN COUNT{ (n)--() } AS totalEdgeCount - :result:2 -2024-10-29 15:05:21,266 - lightrag - INFO - _find_node_degree:query: - MATCH (n:`KEYS`) - RETURN COUNT{ (n)--() } AS totalEdgeCount - :result:0 -2024-10-29 15:05:21,489 - lightrag - INFO - _find_node_degree:query: - MATCH (n:`THE TRANSPARENT WINDOW`) - RETURN COUNT{ (n)--() } AS totalEdgeCount - :result:0 -2024-10-29 15:05:21,747 - lightrag - INFO - _find_node_degree:query: - MATCH (n:`SCROOGE`) - RETURN COUNT{ (n)--() } AS totalEdgeCount - :result:100 -2024-10-29 15:05:21,929 - lightrag - INFO - _find_node_degree:query: - MATCH (n:`THE COLD`) - RETURN COUNT{ (n)--() } AS totalEdgeCount - :result:1 -2024-10-29 15:05:22,104 - lightrag - INFO - _find_node_degree:query: - MATCH (n:`CITY`) - RETURN COUNT{ (n)--() } AS totalEdgeCount - :result:1 -2024-10-29 15:05:22,279 - lightrag - INFO - _find_node_degree:query: - MATCH (n:`THE GRAVE`) - RETURN COUNT{ (n)--() } AS totalEdgeCount - :result:1 -2024-10-29 15:05:22,452 - lightrag - INFO - _find_node_degree:query: - MATCH (n:`THE HOUSE`) - RETURN COUNT{ (n)--() } AS totalEdgeCount - :result:2 -2024-10-29 15:05:22,632 - lightrag - INFO - _find_node_degree:query: - MATCH (n:`THE CHAIN`) - RETURN COUNT{ (n)--() } AS totalEdgeCount - :result:0 -2024-10-29 15:05:22,812 - lightrag - INFO - _find_node_degree:query: - MATCH (n:`THE BEDROOM`) - RETURN COUNT{ (n)--() } AS totalEdgeCount - :result:1 -2024-10-29 15:05:22,992 - lightrag - INFO - _find_node_degree:query: - MATCH (n:`HUMANITY`) - RETURN COUNT{ (n)--() } AS totalEdgeCount - :result:1 -2024-10-29 15:05:23,170 - lightrag - INFO - _find_node_degree:query: - MATCH (n:`THE DAUGHTER`) - RETURN COUNT{ (n)--() } AS totalEdgeCount - :result:1 -2024-10-29 15:05:23,349 - lightrag - INFO - _find_node_degree:query: - MATCH (n:`WINTER DAY`) - RETURN COUNT{ (n)--() } AS totalEdgeCount - :result:0 -2024-10-29 15:05:23,526 - lightrag - INFO - _find_node_degree:query: - MATCH (n:`POVERTY`) - RETURN COUNT{ (n)--() } AS totalEdgeCount - :result:1 -2024-10-29 15:05:23,702 - lightrag - INFO - _find_node_degree:query: - MATCH (n:`THE CANDLE`) - RETURN COUNT{ (n)--() } AS totalEdgeCount - :result:1 -2024-10-29 15:05:23,879 - lightrag - INFO - _find_node_degree:query: - MATCH (n:`SCHOOL`) - RETURN COUNT{ (n)--() } AS totalEdgeCount - :result:2 -2024-10-29 15:05:24,055 - lightrag - INFO - _find_node_degree:query: - MATCH (n:`THE CLOTHES AND ITEMS`) - RETURN COUNT{ (n)--() } AS totalEdgeCount - :result:0 -2024-10-29 15:05:24,231 - lightrag - INFO - _find_node_degree:query: - MATCH (n:`AVARICE`) - RETURN COUNT{ (n)--() } AS totalEdgeCount - :result:0 -2024-10-29 15:05:24,408 - lightrag - INFO - _find_node_degree:query: - MATCH (n:`THE CHAISE`) - RETURN COUNT{ (n)--() } AS totalEdgeCount - :result:0 -2024-10-29 15:05:24,579 - lightrag - INFO - _find_node_degree:query: - MATCH (n:`DEEDS`) - RETURN COUNT{ (n)--() } AS totalEdgeCount - :result:0 -2024-10-29 15:05:24,761 - lightrag - INFO - _find_node_degree:query: - MATCH (n:`THE DARK NIGHT`) - RETURN COUNT{ (n)--() } AS totalEdgeCount - :result:0 -2024-10-29 15:05:24,949 - lightrag - INFO - _find_node_degree:query: - MATCH (n:`THE SPRING`) - RETURN COUNT{ (n)--() } AS totalEdgeCount - :result:0 -2024-10-29 15:05:25,132 - lightrag - INFO - _find_node_degree:query: - MATCH (n:`THE CITY`) - RETURN COUNT{ (n)--() } AS totalEdgeCount - :result:3 -2024-10-29 15:05:25,333 - lightrag - INFO - _find_node_degree:query: - MATCH (n:`THE MOTHER`) - RETURN COUNT{ (n)--() } AS totalEdgeCount - :result:2 -2024-10-29 15:05:25,535 - lightrag - INFO - _find_node_degree:query: - MATCH (n:`THE THREE SPIRITS`) - RETURN COUNT{ (n)--() } AS totalEdgeCount - :result:1 -2024-10-29 15:05:25,709 - lightrag - INFO - _find_node_degree:query: - MATCH (n:`KEYHOLE`) - RETURN COUNT{ (n)--() } AS totalEdgeCount - :result:0 -2024-10-29 15:05:25,886 - lightrag - INFO - _find_node_degree:query: - MATCH (n:`THE PENANCE`) - RETURN COUNT{ (n)--() } AS totalEdgeCount - :result:0 -2024-10-29 15:05:26,057 - lightrag - INFO - _find_node_degree:query: - MATCH (n:`SPIRIT`) - RETURN COUNT{ (n)--() } AS totalEdgeCount - :result:9 -2024-10-29 15:05:26,231 - lightrag - INFO - _find_node_degree:query: - MATCH (n:`FOUR-ROOMED HOUSE`) - RETURN COUNT{ (n)--() } AS totalEdgeCount - :result:0 -2024-10-29 15:05:26,405 - lightrag - INFO - _find_node_degree:query: - MATCH (n:`THE CANDLE-LIGHT`) - RETURN COUNT{ (n)--() } AS totalEdgeCount - :result:0 -2024-10-29 15:05:26,580 - lightrag - INFO - _find_node_degree:query: - MATCH (n:`THE FLANNEL BAG`) - RETURN COUNT{ (n)--() } AS totalEdgeCount - :result:0 -2024-10-29 15:05:26,755 - lightrag - INFO - _find_node_degree:query: - MATCH (n:`SHADOW OF HIMSELF`) - RETURN COUNT{ (n)--() } AS totalEdgeCount - :result:1 -2024-10-29 15:05:26,933 - lightrag - INFO - _find_node_degree:query: - MATCH (n:`SUNDAY CLOTHES BOY`) - RETURN COUNT{ (n)--() } AS totalEdgeCount - :result:1 -2024-10-29 15:05:27,106 - lightrag - INFO - _find_node_degree:query: - MATCH (n:`CHRISTMAS FEAST`) - RETURN COUNT{ (n)--() } AS totalEdgeCount - :result:1 -2024-10-29 15:05:27,280 - lightrag - INFO - _find_node_degree:query: - MATCH (n:`THE CRATCHIT FAMILY`) - RETURN COUNT{ (n)--() } AS totalEdgeCount - :result:0 -2024-10-29 15:05:27,461 - lightrag - INFO - _find_node_degree:query: - MATCH (n:`TWO YOUNG CRATCHITS`) - RETURN COUNT{ (n)--() } AS totalEdgeCount - :result:0 -2024-10-29 15:05:27,632 - lightrag - INFO - _find_node_degree:query: - MATCH (n:`THE BLESSED STAR`) - RETURN COUNT{ (n)--() } AS totalEdgeCount - :result:0 -2024-10-29 15:05:27,806 - lightrag - INFO - _find_node_degree:query: - MATCH (n:`THE OBSCURE PART OF TOWN`) - RETURN COUNT{ (n)--() } AS totalEdgeCount - :result:2 -2024-10-29 15:05:27,980 - lightrag - INFO - _find_node_degree:query: - MATCH (n:`JOE`) - RETURN COUNT{ (n)--() } AS totalEdgeCount - :result:2 -2024-10-29 15:05:28,158 - lightrag - INFO - _find_node_degree:query: - MATCH (n:`THE BANDAGE`) - RETURN COUNT{ (n)--() } AS totalEdgeCount - :result:0 -2024-10-29 15:05:28,332 - lightrag - INFO - _find_node_degree:query: - MATCH (n:`LIGHT`) - RETURN COUNT{ (n)--() } AS totalEdgeCount - :result:1 -2024-10-29 15:05:28,507 - lightrag - INFO - _find_node_degree:query: - MATCH (n:`PADLOCKS`) - RETURN COUNT{ (n)--() } AS totalEdgeCount - :result:0 -2024-10-29 15:07:37,244 - lightrag - INFO - Logger initialized for working directory: ./neo4jWorkDir -2024-10-29 15:07:37,244 - lightrag - DEBUG - LightRAG init with param: - working_dir = ./neo4jWorkDir, - chunk_token_size = 1200, - chunk_overlap_token_size = 100, - tiktoken_model_name = gpt-4o-mini, - entity_extract_max_gleaning = 1, - entity_summary_to_max_tokens = 500, - node_embedding_algorithm = node2vec, - node2vec_params = {'dimensions': 1536, 'num_walks': 10, 'walk_length': 40, 'window_size': 2, 'iterations': 3, 'random_seed': 3}, - embedding_func = {'embedding_dim': 1536, 'max_token_size': 8192, 'func': }, - embedding_batch_num = 32, - embedding_func_max_async = 16, - llm_model_func = , - llm_model_name = meta-llama/Llama-3.2-1B-Instruct, - llm_model_max_token_size = 32768, - llm_model_max_async = 16, - key_string_value_json_storage_cls = , - vector_db_storage_cls = , - vector_db_storage_cls_kwargs = {}, - graph_storage_cls = , - enable_llm_cache = True, - addon_params = {}, - convert_response_to_json_func = - -2024-10-29 15:07:37,244 - lightrag - INFO - Load KV full_docs with 1 data -2024-10-29 15:07:37,245 - lightrag - INFO - Load KV text_chunks with 42 data -2024-10-29 15:07:37,246 - lightrag - INFO - Load KV llm_response_cache with 86 data -2024-10-29 15:07:37,266 - lightrag - INFO - Creating a new event loop in a sub-thread. -2024-10-29 15:07:37,267 - lightrag - WARNING - All docs are already in the storage -2024-10-29 15:07:37,287 - lightrag - INFO - Creating a new event loop in a sub-thread. -2024-10-29 15:07:37,727 - lightrag - INFO - Truncate 39 to 3 chunks -2024-10-29 15:07:37,744 - lightrag - INFO - Creating a new event loop in a sub-thread. -2024-10-29 15:07:39,610 - lightrag - INFO - get_node:query:MATCH (n:`EMOTION`) RETURN n:result: -2024-10-29 15:07:39,706 - lightrag - INFO - get_node:query:MATCH (n:`DARKNESS`) RETURN n:result: -2024-10-29 15:07:39,802 - lightrag - INFO - get_node:query:MATCH (n:`THE PHANTOM`) RETURN n:result: -2024-10-29 15:07:39,898 - lightrag - INFO - get_node:query:MATCH (n:`THE COSMIC SIGNIFICANCE`) RETURN n:result: -2024-10-29 15:07:40,005 - lightrag - INFO - get_node:query:MATCH (n:`CHRISTMAS HOLIDAYS`) RETURN n:result: -2024-10-29 15:07:40,115 - lightrag - INFO - get_node:query:MATCH (n:`PONDEROUS CHAIN`) RETURN n:result: -2024-10-29 15:07:40,249 - lightrag - INFO - get_node:query:MATCH (n:`HUMANITY`) RETURN n:result: -2024-10-29 15:07:40,344 - lightrag - INFO - get_node:query:MATCH (n:`CHRISTMAS`) RETURN n:result:"Christmas is a festive occasion that has led to a joyful transformation in Scrooge\'s character and actions.""Christmas is a festive time celebrated by the Cratchit family, symbolizing joy, family togetherness, and generosity.""Christmas is a significant holiday that serves as the backdrop for Scrooge\'s transformation and the events that unfold during the narrative.""Christmas is a significant holiday that triggers Scrooge\'s memories and reflections on joy, loneliness, and his past.""Christmas is central to the text, symbolizing generosity, charity, and warmth that Scrooge rejects.""Christmas is depicted as a festive season when charity and social duty are emphasized, contrasting with Scrooge\'s values.""Christmas is depicted as a time associated with joy and abundance, contrasting with Scrooge\'s initial views.""Christmas is depicted as a time of joy and communal spirit, marked by people\'s activities and interactions in the streets.""Christmas is depicted as a time of joy and generosity, contrasting sharply with Scrooge\'s past behavior and current solitude.""Christmas is portrayed as a festive time that Scrooge dismisses, emphasizing the contrast between joy and his miserable attitude.""Christmas is portrayed as a time of joy, reflection, and connection, emphasizing the positive impact of the holiday spirit on individuals and communities.""Christmas is presented as a time for merriment and social gatherings, which Scrooge\'s nephew advocates for despite his uncle\'s opposition.""Christmas is the central holiday during which the events unfold, leading to significant character transformations and themes of generosity.""Christmas is the season during which festive activities and celebrations are occurring, including dances and gatherings.""Christmas represents a time of reflection and change for Scrooge, emphasizing themes of redemption.""Christmas serves as a thematic backdrop for the story, symbolizing redemption, generosity, and the spirit of giving."', 'source_id': 'chunk-91614df5cb74cbe5e109a338a82041e9chunk-503f0bfa5453467c7c61d160a3540ecachunk-773d0df1dd25c356f7b771d780583e09chunk-8f738cb25d60a7dab782162d9d0a25edchunk-e7637ff18c5ded77a68cce0a87883fadchunk-8590d9263cd2cd4fa583c432fc54e6c3chunk-54bdd22db1f84a965b5f4c06c9216d8dchunk-02baee20cc9463dbe08170a8e1043e32chunk-90d5764e301321c087f5a8f78b73a145chunk-91572b3cd42786ba4cb2f180ca25cbf4chunk-1d4b58de5429cd1261370c231c8673e8chunk-da2472b4ef2a535b62908f14d0fb0ca9chunk-94bea83e7153fc2064aa382b494936a1chunk-89777b838d5447c7bd1ec11282c4ee89chunk-99b0ec7f7e006561352b5d65e849611dchunk-74e2466de2f67fd710ef2f20c0a8d9e0chunk-5dac41b3f9eeaf794f0147400b1718cd'}> -2024-10-29 15:07:40,437 - lightrag - INFO - get_node:query:MATCH (n:`DEATH`) RETURN n:result:"Death is described as a powerful force in the narrative, represented through the imagery of a cold, rigid presence and the contemplation of mortality.""Death refers to the passing of a character that triggers a range of emotions and reflections among the living, influencing their lives and relationships."', 'source_id': 'chunk-e1f29eeadc1d8ab46dc8a0bbd3c56b64chunk-83ac129dc9b56f84c46760d153d68e93chunk-02baee20cc9463dbe08170a8e1043e32'}> -2024-10-29 15:07:40,530 - lightrag - INFO - get_node:query:MATCH (n:`SCROOGE`) RETURN n:result:chunk-b2f98bc7abb0c67d4c86055c7fd72218chunk-91614df5cb74cbe5e109a338a82041e9chunk-8f738cb25d60a7dab782162d9d0a25edchunk-e7637ff18c5ded77a68cce0a87883fadchunk-d9aac3484185ac66045df92214d245d5chunk-90b95db5c53e4364a6bee36b7aa4d70fchunk-89777b838d5447c7bd1ec11282c4ee89chunk-c6c248858d1b13ab7ee9ca13c1aeed6bchunk-5dac41b3f9eeaf794f0147400b1718cdchunk-773d0df1dd25c356f7b771d780583e09chunk-843b5b2f944c7413d9ca876e2e2f151fchunk-f1a4fbcf1ed86864b9bfd5e8dba4c683chunk-359187e7571bda4b0b08b2e0b6581e52chunk-503f0bfa5453467c7c61d160a3540ecachunk-9c43dac2fcd5b578242d907ea6f8fc7bchunk-b0f459f5af1c3a5e0b92cbe4ee48b77bchunk-1aa50206d02ed89418f65f97c6441d1cchunk-54bdd22db1f84a965b5f4c06c9216d8dchunk-cb661c37436355ccec2769b1d0350c5fchunk-90d5764e301321c087f5a8f78b73a145chunk-91572b3cd42786ba4cb2f180ca25cbf4chunk-da2472b4ef2a535b62908f14d0fb0ca9chunk-99b0ec7f7e006561352b5d65e849611dchunk-43c9bee23adfa77aa9dedd22401bba7dchunk-83ac129dc9b56f84c46760d153d68e93chunk-e1f29eeadc1d8ab46dc8a0bbd3c56b64chunk-8590d9263cd2cd4fa583c432fc54e6c3chunk-02baee20cc9463dbe08170a8e1043e32chunk-94bea83e7153fc2064aa382b494936a1chunk-74e2466de2f67fd710ef2f20c0a8d9e0chunk-19d72c57ae3408758b18d2568e86dc6b'}> -2024-10-29 15:07:40,623 - lightrag - INFO - get_node:query:MATCH (n:`RUSTY KEYS, NAILS, CHAINS, HINGES`) RETURN n:result: -2024-10-29 15:07:40,715 - lightrag - INFO - get_node:query:MATCH (n:`THE PENANCE`) RETURN n:result: -2024-10-29 15:07:40,807 - lightrag - INFO - get_node:query:MATCH (n:`MAN`) RETURN n:result: -2024-10-29 15:07:40,896 - lightrag - INFO - get_node:query:MATCH (n:`THE SCHOOLMASTER`) RETURN n:result: -2024-10-29 15:07:40,988 - lightrag - INFO - get_node:query:MATCH (n:`THE GRAVE`) RETURN n:result: -2024-10-29 15:07:41,082 - lightrag - INFO - get_node:query:MATCH (n:`KEYHOLE`) RETURN n:result: -2024-10-29 15:07:41,175 - lightrag - INFO - get_node:query:MATCH (n:`SCHOOL`) RETURN n:result: -2024-10-29 15:07:41,271 - lightrag - INFO - get_node:query:MATCH (n:`THE CHAIN`) RETURN n:result:"The Chain symbolizes the burdens of the past that haunt the spirits, showcasing the consequences of one\'s actions in life."', 'source_id': 'chunk-359187e7571bda4b0b08b2e0b6581e52chunk-cb661c37436355ccec2769b1d0350c5f'}> -2024-10-29 15:07:41,365 - lightrag - INFO - get_node:query:MATCH (n:`THE THREE SPIRITS`) RETURN n:result: -2024-10-29 15:07:41,459 - lightrag - INFO - get_node:query:MATCH (n:`THE COLD`) RETURN n:result: -2024-10-29 15:07:41,552 - lightrag - INFO - get_node:query:MATCH (n:`DEEDS`) RETURN n:result: -2024-10-29 15:07:41,644 - lightrag - INFO - get_node:query:MATCH (n:`THE BLESSED STAR`) RETURN n:result: -2024-10-29 15:07:41,738 - lightrag - INFO - get_node:query:MATCH (n:`THE CANDLE`) RETURN n:result: -2024-10-29 15:07:41,830 - lightrag - INFO - get_node:query:MATCH (n:`FROST`) RETURN n:result: -2024-10-29 15:07:41,920 - lightrag - INFO - get_node:query:MATCH (n:`THE TRANSPARENT WINDOW`) RETURN n:result: -2024-10-29 15:07:42,008 - lightrag - INFO - get_node:query:MATCH (n:`THE CANDLE-LIGHT`) RETURN n:result: -2024-10-29 15:07:42,098 - lightrag - INFO - get_node:query:MATCH (n:`POVERTY`) RETURN n:result: -2024-10-29 15:07:42,187 - lightrag - INFO - get_node:query:MATCH (n:`SUNDAY CLOTHES BOY`) RETURN n:result: -2024-10-29 15:07:42,275 - lightrag - INFO - get_node:query:MATCH (n:`THE SOLITARY CHILD`) RETURN n:result: -2024-10-29 15:07:42,367 - lightrag - INFO - get_node:query:MATCH (n:`CITY`) RETURN n:result:"The City represents the urban setting where Scrooge witnesses the indifference of its inhabitants regarding his death.""The City represents the urban setting where Scrooge\'s transformation takes place, symbolizing the broader society impacted by his changes."', 'source_id': 'chunk-843b5b2f944c7413d9ca876e2e2f151fchunk-94bea83e7153fc2064aa382b494936a1chunk-02baee20cc9463dbe08170a8e1043e32'}> -2024-10-29 15:07:42,463 - lightrag - INFO - get_node:query:MATCH (n:`FEARFUL PLACE`) RETURN n:result: -2024-10-29 15:07:42,557 - lightrag - INFO - get_node:query:MATCH (n:`IRON CABLE`) RETURN n:result: -2024-10-29 15:07:42,649 - lightrag - INFO - get_node:query:MATCH (n:`SPIRIT`) RETURN n:result:"The Spirit embodies the lessons of compassion and social responsibility, guiding Scrooge through his reflections and realizations.""The Spirit is the manifestation of Scrooge\'s past that guides him through his memories, representing his former self and the influence of time.""The Spirit represents a ghostly entity, guiding Scrooge through visions of potential future events and urging him to acknowledge societal issues.""The Spirit represents a supernatural entity guiding Scrooge through his reflections on life, death, and human emotions, prompting self-awareness.""The Spirit represents the embodiment of the Christmas present, personifying the themes of generosity and merriment."', 'source_id': 'chunk-bb21d58d36c6306fd8810ddd51c4a971chunk-83ac129dc9b56f84c46760d153d68e93chunk-e7637ff18c5ded77a68cce0a87883fadchunk-843b5b2f944c7413d9ca876e2e2f151fchunk-1aa50206d02ed89418f65f97c6441d1cchunk-02baee20cc9463dbe08170a8e1043e32'}> -2024-10-29 15:07:42,741 - lightrag - INFO - get_node:query:MATCH (n:`THE SETTING SUN`) RETURN n:result: -2024-10-29 15:07:42,834 - lightrag - INFO - get_node:query:MATCH (n:`KEYS`) RETURN n:result: -2024-10-29 15:07:42,923 - lightrag - INFO - get_node:query:MATCH (n:`THE CLOTHES AND ITEMS`) RETURN n:result: -2024-10-29 15:07:43,010 - lightrag - INFO - get_node:query:MATCH (n:`AVARICE`) RETURN n:result: -2024-10-29 15:07:43,100 - lightrag - INFO - get_node:query:MATCH (n:`THE FIREPLACE`) RETURN n:result: -2024-10-29 15:07:43,189 - lightrag - INFO - get_node:query:MATCH (n:`WANT`) RETURN n:result: -2024-10-29 15:07:43,286 - lightrag - INFO - get_node:query:MATCH (n:`THE DAUGHTER`) RETURN n:result: -2024-10-29 15:07:43,377 - lightrag - INFO - get_node:query:MATCH (n:`CHRISTMAS-TIME`) RETURN n:result:"Christmas-time represents the festive season, a recurring theme that evokes memories and emotions in Scrooge’s reflections.""Christmas-time serves as a backdrop for the narrative, emphasizing themes of reflection, mortality, and social interactions."', 'source_id': 'chunk-f1a4fbcf1ed86864b9bfd5e8dba4c683chunk-c6c248858d1b13ab7ee9ca13c1aeed6bchunk-5dac41b3f9eeaf794f0147400b1718cd'}> -2024-10-29 15:07:43,470 - lightrag - INFO - get_node:query:MATCH (n:`THE BED`) RETURN n:result: -2024-10-29 15:07:43,563 - lightrag - INFO - get_node:query:MATCH (n:`SHADOW OF HIMSELF`) RETURN n:result: -2024-10-29 15:07:43,655 - lightrag - INFO - get_node:query:MATCH (n:`KIND WORD`) RETURN n:result: -2024-10-29 15:07:43,747 - lightrag - INFO - get_node:query:MATCH (n:`GAOL`) RETURN n:result: -2024-10-29 15:07:43,841 - lightrag - INFO - get_node:query:MATCH (n:`IGNORANCE`) RETURN n:result:"Ignorance is personified as a boy that symbolizes the dangers of ignoring social issues and the consequences of a lack of awareness."', 'source_id': 'chunk-02baee20cc9463dbe08170a8e1043e32chunk-e7637ff18c5ded77a68cce0a87883fad'}> -2024-10-29 15:07:43,927 - lightrag - INFO - get_node:query:MATCH (n:`CHILDREN`) RETURN n:result:"The Children represent the joyful, carefree aspects of Scrooge\'s past, embodying happiness and the innocence of youth that he has long forgotten."', 'source_id': 'chunk-bb21d58d36c6306fd8810ddd51c4a971chunk-e7637ff18c5ded77a68cce0a87883fad'}> -2024-10-29 15:07:44,019 - lightrag - INFO - get_node:query:MATCH (n:`THE ROOM BY DAYLIGHT`) RETURN n:result: -2024-10-29 15:07:44,111 - lightrag - INFO - get_node:query:MATCH (n:`THE BOTTLE`) RETURN n:result: -2024-10-29 15:07:44,204 - lightrag - INFO - get_node:query:MATCH (n:`THE FLANNEL BAG`) RETURN n:result: -2024-10-29 15:07:44,299 - lightrag - INFO - get_node:query:MATCH (n:`THE YOUNG GIRL`) RETURN n:result: -2024-10-29 15:07:44,392 - lightrag - INFO - get_node:query:MATCH (n:`A CHRISTMAS CAROL`) RETURN n:result: -2024-10-29 15:07:44,484 - lightrag - INFO - get_node:query:MATCH (n:`THE CITY`) RETURN n:result:"The City represents the bustling urban environment where Scrooge reflects on his past, filled with activity and shadowy figures.""The City, from which Scrooge is transported, represents his past life and is contrasted with the open country road that signifies his memories."', 'source_id': 'chunk-bb21d58d36c6306fd8810ddd51c4a971chunk-c6c248858d1b13ab7ee9ca13c1aeed6bchunk-74e2466de2f67fd710ef2f20c0a8d9e0'}> -2024-10-29 15:07:44,577 - lightrag - INFO - get_node:query:MATCH (n:`GHOST`) RETURN n:result:"The Ghost refers to the spirit guiding Scrooge, embodying the themes of memory and reflection on the joys of Christmas.""The Ghost represents a spiritual guide that takes Scrooge on a journey to learn important lessons about compassion and humanity.""The Ghost serves as a supernatural guide for Scrooge, prompting him to reflect on his life and choices."', 'source_id': 'chunk-503f0bfa5453467c7c61d160a3540ecachunk-c6c248858d1b13ab7ee9ca13c1aeed6bchunk-e7637ff18c5ded77a68cce0a87883fadchunk-43c9bee23adfa77aa9dedd22401bba7d'}> -2024-10-29 15:07:44,670 - lightrag - INFO - get_node:query:MATCH (n:`MERCILESS CREDITOR`) RETURN n:result: -2024-10-29 15:07:44,764 - lightrag - INFO - get_node:query:MATCH (n:`THE SPIRITS`) RETURN n:result:"The Spirits represent the past, present, and future in Scrooge\'s life, guiding him toward redemption and self-reflection."', 'source_id': 'chunk-90b95db5c53e4364a6bee36b7aa4d70fchunk-cb661c37436355ccec2769b1d0350c5f'}> -2024-10-29 15:07:44,853 - lightrag - INFO - get_node:query:MATCH (n:`THE MOTHER`) RETURN n:result:"The Mother is a character associated with the family dynamics during the Christmas scene, though her actions are not explicitly detailed.""The Mother is depicted as a comely matron, who enjoys the laughter and chaos with her children, showing warmth and family value."', 'source_id': 'chunk-da2472b4ef2a535b62908f14d0fb0ca9chunk-83ac129dc9b56f84c46760d153d68e93chunk-54bdd22db1f84a965b5f4c06c9216d8d'}> -2024-10-29 15:07:44,942 - lightrag - INFO - get_node:query:MATCH (n:`LIGHT`) RETURN n:result: -2024-10-29 15:07:45,036 - lightrag - INFO - get_node:query:MATCH (n:`TWO YOUNG CRATCHITS`) RETURN n:result: -2024-10-29 15:07:45,130 - lightrag - INFO - get_node:query:MATCH (n:`JOE`) RETURN n:result:"Joe is a marine-store dealer depicted as receiving stolen goods, illustrating the consequences of crime and the darker sides of society.""Joe is portrayed as a character engaged in a conversation about the deceased, displaying a mix of humor and practicality in dealing with the possessions of the dead."', 'source_id': 'chunk-89777b838d5447c7bd1ec11282c4ee89chunk-9e3921da66da5d761ab73cd849af6c43chunk-e1f29eeadc1d8ab46dc8a0bbd3c56b64'}> -2024-10-29 15:07:45,270 - lightrag - INFO - _find_node_degree:query: - MATCH (n:`EMOTION`) - RETURN COUNT{ (n)--() } AS totalEdgeCount - :result:0 -2024-10-29 15:07:45,448 - lightrag - INFO - _find_node_degree:query: - MATCH (n:`DARKNESS`) - RETURN COUNT{ (n)--() } AS totalEdgeCount - :result:1 -2024-10-29 15:07:45,631 - lightrag - INFO - _find_node_degree:query: - MATCH (n:`THE PHANTOM`) - RETURN COUNT{ (n)--() } AS totalEdgeCount - :result:2 -2024-10-29 15:07:45,807 - lightrag - INFO - _find_node_degree:query: - MATCH (n:`THE COSMIC SIGNIFICANCE`) - RETURN COUNT{ (n)--() } AS totalEdgeCount - :result:0 -2024-10-29 15:07:45,982 - lightrag - INFO - _find_node_degree:query: - MATCH (n:`CHRISTMAS HOLIDAYS`) - RETURN COUNT{ (n)--() } AS totalEdgeCount - :result:0 -2024-10-29 15:07:46,153 - lightrag - INFO - _find_node_degree:query: - MATCH (n:`PONDEROUS CHAIN`) - RETURN COUNT{ (n)--() } AS totalEdgeCount - :result:0 -2024-10-29 15:07:46,327 - lightrag - INFO - _find_node_degree:query: - MATCH (n:`HUMANITY`) - RETURN COUNT{ (n)--() } AS totalEdgeCount - :result:1 -2024-10-29 15:07:46,498 - lightrag - INFO - _find_node_degree:query: - MATCH (n:`CHRISTMAS`) - RETURN COUNT{ (n)--() } AS totalEdgeCount - :result:18 -2024-10-29 15:07:46,670 - lightrag - INFO - _find_node_degree:query: - MATCH (n:`DEATH`) - RETURN COUNT{ (n)--() } AS totalEdgeCount - :result:3 -2024-10-29 15:07:46,842 - lightrag - INFO - _find_node_degree:query: - MATCH (n:`SCROOGE`) - RETURN COUNT{ (n)--() } AS totalEdgeCount - :result:100 -2024-10-29 15:07:47,006 - lightrag - INFO - _find_node_degree:query: - MATCH (n:`RUSTY KEYS, NAILS, CHAINS, HINGES`) - RETURN COUNT{ (n)--() } AS totalEdgeCount - :result:1 -2024-10-29 15:07:47,180 - lightrag - INFO - _find_node_degree:query: - MATCH (n:`THE PENANCE`) - RETURN COUNT{ (n)--() } AS totalEdgeCount - :result:0 -2024-10-29 15:07:47,351 - lightrag - INFO - _find_node_degree:query: - MATCH (n:`MAN`) - RETURN COUNT{ (n)--() } AS totalEdgeCount - :result:1 -2024-10-29 15:07:47,529 - lightrag - INFO - _find_node_degree:query: - MATCH (n:`THE SCHOOLMASTER`) - RETURN COUNT{ (n)--() } AS totalEdgeCount - :result:1 -2024-10-29 15:07:47,726 - lightrag - INFO - _find_node_degree:query: - MATCH (n:`THE GRAVE`) - RETURN COUNT{ (n)--() } AS totalEdgeCount - :result:1 -2024-10-29 15:07:47,903 - lightrag - INFO - _find_node_degree:query: - MATCH (n:`KEYHOLE`) - RETURN COUNT{ (n)--() } AS totalEdgeCount - :result:0 -2024-10-29 15:07:48,077 - lightrag - INFO - _find_node_degree:query: - MATCH (n:`SCHOOL`) - RETURN COUNT{ (n)--() } AS totalEdgeCount - :result:2 -2024-10-29 15:07:48,242 - lightrag - INFO - _find_node_degree:query: - MATCH (n:`THE CHAIN`) - RETURN COUNT{ (n)--() } AS totalEdgeCount - :result:0 -2024-10-29 15:07:48,422 - lightrag - INFO - _find_node_degree:query: - MATCH (n:`THE THREE SPIRITS`) - RETURN COUNT{ (n)--() } AS totalEdgeCount - :result:1 -2024-10-29 15:07:48,596 - lightrag - INFO - _find_node_degree:query: - MATCH (n:`THE COLD`) - RETURN COUNT{ (n)--() } AS totalEdgeCount - :result:1 -2024-10-29 15:07:48,766 - lightrag - INFO - _find_node_degree:query: - MATCH (n:`DEEDS`) - RETURN COUNT{ (n)--() } AS totalEdgeCount - :result:0 -2024-10-29 15:07:48,940 - lightrag - INFO - _find_node_degree:query: - MATCH (n:`THE BLESSED STAR`) - RETURN COUNT{ (n)--() } AS totalEdgeCount - :result:0 -2024-10-29 15:07:49,105 - lightrag - INFO - _find_node_degree:query: - MATCH (n:`THE CANDLE`) - RETURN COUNT{ (n)--() } AS totalEdgeCount - :result:1 -2024-10-29 15:07:49,276 - lightrag - INFO - _find_node_degree:query: - MATCH (n:`FROST`) - RETURN COUNT{ (n)--() } AS totalEdgeCount - :result:1 -2024-10-29 15:07:49,448 - lightrag - INFO - _find_node_degree:query: - MATCH (n:`THE TRANSPARENT WINDOW`) - RETURN COUNT{ (n)--() } AS totalEdgeCount - :result:0 -2024-10-29 15:07:49,624 - lightrag - INFO - _find_node_degree:query: - MATCH (n:`THE CANDLE-LIGHT`) - RETURN COUNT{ (n)--() } AS totalEdgeCount - :result:0 -2024-10-29 15:07:49,799 - lightrag - INFO - _find_node_degree:query: - MATCH (n:`POVERTY`) - RETURN COUNT{ (n)--() } AS totalEdgeCount - :result:1 -2024-10-29 15:07:49,973 - lightrag - INFO - _find_node_degree:query: - MATCH (n:`SUNDAY CLOTHES BOY`) - RETURN COUNT{ (n)--() } AS totalEdgeCount - :result:1 -2024-10-29 15:07:50,143 - lightrag - INFO - _find_node_degree:query: - MATCH (n:`THE SOLITARY CHILD`) - RETURN COUNT{ (n)--() } AS totalEdgeCount - :result:0 -2024-10-29 15:07:50,316 - lightrag - INFO - _find_node_degree:query: - MATCH (n:`CITY`) - RETURN COUNT{ (n)--() } AS totalEdgeCount - :result:1 -2024-10-29 15:07:50,493 - lightrag - INFO - _find_node_degree:query: - MATCH (n:`FEARFUL PLACE`) - RETURN COUNT{ (n)--() } AS totalEdgeCount - :result:0 -2024-10-29 15:07:50,662 - lightrag - INFO - _find_node_degree:query: - MATCH (n:`IRON CABLE`) - RETURN COUNT{ (n)--() } AS totalEdgeCount - :result:0 -2024-10-29 15:07:50,834 - lightrag - INFO - _find_node_degree:query: - MATCH (n:`SPIRIT`) - RETURN COUNT{ (n)--() } AS totalEdgeCount - :result:9 -2024-10-29 15:07:51,004 - lightrag - INFO - _find_node_degree:query: - MATCH (n:`THE SETTING SUN`) - RETURN COUNT{ (n)--() } AS totalEdgeCount - :result:1 -2024-10-29 15:07:51,174 - lightrag - INFO - _find_node_degree:query: - MATCH (n:`KEYS`) - RETURN COUNT{ (n)--() } AS totalEdgeCount - :result:0 -2024-10-29 15:07:51,343 - lightrag - INFO - _find_node_degree:query: - MATCH (n:`THE CLOTHES AND ITEMS`) - RETURN COUNT{ (n)--() } AS totalEdgeCount - :result:0 -2024-10-29 15:07:51,521 - lightrag - INFO - _find_node_degree:query: - MATCH (n:`AVARICE`) - RETURN COUNT{ (n)--() } AS totalEdgeCount - :result:0 -2024-10-29 15:07:51,697 - lightrag - INFO - _find_node_degree:query: - MATCH (n:`THE FIREPLACE`) - RETURN COUNT{ (n)--() } AS totalEdgeCount - :result:0 -2024-10-29 15:07:51,873 - lightrag - INFO - _find_node_degree:query: - MATCH (n:`WANT`) - RETURN COUNT{ (n)--() } AS totalEdgeCount - :result:1 -2024-10-29 15:07:52,051 - lightrag - INFO - _find_node_degree:query: - MATCH (n:`THE DAUGHTER`) - RETURN COUNT{ (n)--() } AS totalEdgeCount - :result:1 -2024-10-29 15:07:52,218 - lightrag - INFO - _find_node_degree:query: - MATCH (n:`CHRISTMAS-TIME`) - RETURN COUNT{ (n)--() } AS totalEdgeCount - :result:2 -2024-10-29 15:07:52,392 - lightrag - INFO - _find_node_degree:query: - MATCH (n:`THE BED`) - RETURN COUNT{ (n)--() } AS totalEdgeCount - :result:1 -2024-10-29 15:07:52,562 - lightrag - INFO - _find_node_degree:query: - MATCH (n:`SHADOW OF HIMSELF`) - RETURN COUNT{ (n)--() } AS totalEdgeCount - :result:1 -2024-10-29 15:07:52,737 - lightrag - INFO - _find_node_degree:query: - MATCH (n:`KIND WORD`) - RETURN COUNT{ (n)--() } AS totalEdgeCount - :result:0 -2024-10-29 15:07:52,909 - lightrag - INFO - _find_node_degree:query: - MATCH (n:`GAOL`) - RETURN COUNT{ (n)--() } AS totalEdgeCount - :result:1 -2024-10-29 15:07:53,083 - lightrag - INFO - _find_node_degree:query: - MATCH (n:`IGNORANCE`) - RETURN COUNT{ (n)--() } AS totalEdgeCount - :result:3 -2024-10-29 15:07:53,257 - lightrag - INFO - _find_node_degree:query: - MATCH (n:`CHILDREN`) - RETURN COUNT{ (n)--() } AS totalEdgeCount - :result:2 -2024-10-29 15:07:53,428 - lightrag - INFO - _find_node_degree:query: - MATCH (n:`THE ROOM BY DAYLIGHT`) - RETURN COUNT{ (n)--() } AS totalEdgeCount - :result:0 -2024-10-29 15:07:53,604 - lightrag - INFO - _find_node_degree:query: - MATCH (n:`THE BOTTLE`) - RETURN COUNT{ (n)--() } AS totalEdgeCount - :result:0 -2024-10-29 15:07:53,780 - lightrag - INFO - _find_node_degree:query: - MATCH (n:`THE FLANNEL BAG`) - RETURN COUNT{ (n)--() } AS totalEdgeCount - :result:0 -2024-10-29 15:07:53,957 - lightrag - INFO - _find_node_degree:query: - MATCH (n:`THE YOUNG GIRL`) - RETURN COUNT{ (n)--() } AS totalEdgeCount - :result:1 -2024-10-29 15:07:54,127 - lightrag - INFO - _find_node_degree:query: - MATCH (n:`A CHRISTMAS CAROL`) - RETURN COUNT{ (n)--() } AS totalEdgeCount - :result:3 -2024-10-29 15:07:54,298 - lightrag - INFO - _find_node_degree:query: - MATCH (n:`THE CITY`) - RETURN COUNT{ (n)--() } AS totalEdgeCount - :result:3 -2024-10-29 15:07:54,470 - lightrag - INFO - _find_node_degree:query: - MATCH (n:`GHOST`) - RETURN COUNT{ (n)--() } AS totalEdgeCount - :result:3 -2024-10-29 15:07:54,647 - lightrag - INFO - _find_node_degree:query: - MATCH (n:`MERCILESS CREDITOR`) - RETURN COUNT{ (n)--() } AS totalEdgeCount - :result:0 -2024-10-29 15:07:54,819 - lightrag - INFO - _find_node_degree:query: - MATCH (n:`THE SPIRITS`) - RETURN COUNT{ (n)--() } AS totalEdgeCount - :result:1 -2024-10-29 15:07:54,986 - lightrag - INFO - _find_node_degree:query: - MATCH (n:`THE MOTHER`) - RETURN COUNT{ (n)--() } AS totalEdgeCount - :result:2 -2024-10-29 15:07:55,156 - lightrag - INFO - _find_node_degree:query: - MATCH (n:`LIGHT`) - RETURN COUNT{ (n)--() } AS totalEdgeCount - :result:1 -2024-10-29 15:07:55,335 - lightrag - INFO - _find_node_degree:query: - MATCH (n:`TWO YOUNG CRATCHITS`) - RETURN COUNT{ (n)--() } AS totalEdgeCount - :result:0 -2024-10-29 15:07:55,510 - lightrag - INFO - _find_node_degree:query: - MATCH (n:`JOE`) - RETURN COUNT{ (n)--() } AS totalEdgeCount - :result:2 -2024-10-29 15:08:16,458 - lightrag - INFO - Local query uses 60 entites, 0 relations, 3 text units -2024-10-29 15:08:26,331 - lightrag - INFO - Creating a new event loop in a sub-thread. -2024-10-29 15:08:28,985 - lightrag - INFO - get_edge:query: - MATCH (source:`DARKNESS`)-[r]-(target:`SCROOGE`) - RETURN r - :result:, ) type='DIRECTED' properties={'keywords': '"themes, isolation"', 'description': '"Darkness symbolizes Scrooge\'s internal feelings of isolation and regret, presenting the overall mood of his journey towards potential redemption."', 'weight': 9.0, 'source_id': 'chunk-9c43dac2fcd5b578242d907ea6f8fc7b'}> -2024-10-29 15:08:29,085 - lightrag - INFO - get_edge:query: - MATCH (source:`CHRISTMAS`)-[r]-(target:`SCROOGE`) - RETURN r - :result:, ) type='DIRECTED' properties={'keywords': '"character development, festive spirit""conflict, holiday spirit""contrast, seasonal significance""disconnection, festive spirit""holiday significance, reflection""reflection, redemption""seasonal significance, emotional reflection""transformation, festive spirit""transformation, holiday significance""transformation, holiday spirit"', 'description': '"Christmas is a central theme that invokes Scrooge\'s memories of his past, his feelings of loneliness, and his desire to connect.""Christmas serves as a focal point for Scrooge\'s emotional reflections on joy and his disconnect from societal celebrations.""Christmas serves as the catalyst for Scrooge\'s transformation, highlighting themes of giving and compassion.""Scrooge expresses disdain for Christmas, viewing it as a burden rather than a celebration.""Scrooge\'s attitude towards Christmas highlights his disconnection from the festive spirit and charity associated with the holiday.""Scrooge\'s character contrasts sharply with the joy of Christmas, highlighting his disdain for the festive season.""Scrooge\'s experience during the Christmas event highlights the transformation of his character and the spirit of the holiday.""Scrooge\'s journey with the Spirit ultimately leads him to reflect on the meaning of Christmas and its impact on human connections.""Scrooge\'s transformation and newfound joy are directly linked to the spirit of Christmas.""Scrooge\'s transformation is centered around the spirit of Christmas, which he learns to embrace and celebrate.""Scrooge\'s views on Christmas evolve as he witnesses the joy and familial love associated with the holiday, marking a shift in his character."', 'weight': 95.0, 'source_id': 'chunk-91614df5cb74cbe5e109a338a82041e9chunk-8f738cb25d60a7dab782162d9d0a25edchunk-e7637ff18c5ded77a68cce0a87883fadchunk-8590d9263cd2cd4fa583c432fc54e6c3chunk-54bdd22db1f84a965b5f4c06c9216d8dchunk-90d5764e301321c087f5a8f78b73a145chunk-da2472b4ef2a535b62908f14d0fb0ca9chunk-94bea83e7153fc2064aa382b494936a1chunk-89777b838d5447c7bd1ec11282c4ee89chunk-99b0ec7f7e006561352b5d65e849611dchunk-74e2466de2f67fd710ef2f20c0a8d9e0'}> -2024-10-29 15:08:29,181 - lightrag - INFO - get_edge:query: - MATCH (source:`ROBIN CRUSOE`)-[r]-(target:`SCROOGE`) - RETURN r - :result:, ) type='DIRECTED' properties={'keywords': '"literary influence, nostalgia"', 'description': '"Scrooge\'s reference to Robin Crusoe during his reflections shows how literary characters shaped his childhood thoughts and feelings."', 'weight': 7.0, 'source_id': 'chunk-8590d9263cd2cd4fa583c432fc54e6c3'}> -2024-10-29 15:08:29,275 - lightrag - INFO - get_edge:query: - MATCH (source:`FOG`)-[r]-(target:`THE CITY`) - RETURN r - :result:, ) type='DIRECTED' properties={'keywords': '"atmosphere, symbolism"', 'description': '"The fog in The City creates a dreary atmosphere, signifying confusion and obscured visibility, paralleling Scrooge\'s cold perspective on life."', 'weight': 6.0, 'source_id': 'chunk-74e2466de2f67fd710ef2f20c0a8d9e0'}> -2024-10-29 15:08:29,370 - lightrag - INFO - get_edge:query: - MATCH (source:`THE FROZEN MOOR`)-[r]-(target:`THE LIGHTHOUSE`) - RETURN r - :result:, ) type='DIRECTED' properties={'keywords': '"symbolism, contrast"', 'description': '"The Lighthouse stands solitary and contrasting against the harshness of the Frozen Moor, symbolizing hope amidst desolation."', 'weight': 8.0, 'source_id': 'chunk-91614df5cb74cbe5e109a338a82041e9'}> -2024-10-29 15:08:29,476 - lightrag - INFO - get_edge:query: - MATCH (source:`SCROOGE`)-[r]-(target:`WEALTH`) - RETURN r - :result:, ) type='DIRECTED' properties={'keywords': '"materialism, character development"', 'description': '"Scrooge confronts the obsession with wealth which has led him away from meaningful connections and happiness."', 'weight': 8.0, 'source_id': 'chunk-b2f98bc7abb0c67d4c86055c7fd72218'}> -2024-10-29 15:08:29,574 - lightrag - INFO - get_edge:query: - MATCH (source:`RUSTY KEYS, NAILS, CHAINS, HINGES`)-[r]-(target:`THE LOW-BROWED SHOP`) - RETURN r - :result:, ) type='DIRECTED' properties={'keywords': '"symbolism, societal neglect"', 'description': '"The Rusty Keys, Nails, Chains, and Hinges within the Low-Browed Shop highlight the decay and abandonment of valued items, metaphorically reflecting societal neglect."', 'weight': 7.0, 'source_id': 'chunk-f1a4fbcf1ed86864b9bfd5e8dba4c683'}> -2024-10-29 15:08:29,671 - lightrag - INFO - get_edge:query: - MATCH (source:`SCROOGE`)-[r]-(target:`STREET`) - RETURN r - :result:, ) type='DIRECTED' properties={'keywords': '"observation, societal critique"', 'description': '"Scrooge observes the Street\'s inhabitants and their interactions, reflecting on his own status and societal detachment."', 'weight': 7.0, 'source_id': 'chunk-f1a4fbcf1ed86864b9bfd5e8dba4c683'}> -2024-10-29 15:08:29,774 - lightrag - INFO - get_edge:query: - MATCH (source:`GHOST OF CHRISTMAS YET TO COME`)-[r]-(target:`SPIRIT`) - RETURN r - :result:, ) type='DIRECTED' properties={'keywords': '"foreshadowing, guidance"', 'description': '"The Spirit is connected to the Ghost of Christmas Yet to Come as both serve to illustrate potential future outcomes for Scrooge."', 'weight': 7.0, 'source_id': 'chunk-02baee20cc9463dbe08170a8e1043e32'}> -2024-10-29 15:08:29,875 - lightrag - INFO - get_edge:query: - MATCH (source:`MULTITUDES`)-[r]-(target:`SCROOGE`) - RETURN r - :result:, ) type='DIRECTED' properties={'keywords': '"alienation, introspection"', 'description': '"Scrooge\'s feelings of alienation are heightened as he witnesses the Multitudes, illustrating his inner turmoil and societal disconnect."', 'weight': 8.0, 'source_id': 'chunk-f1a4fbcf1ed86864b9bfd5e8dba4c683'}> -2024-10-29 15:08:29,974 - lightrag - INFO - get_edge:query: - MATCH (source:`THE BEDROOM`)-[r]-(target:`THE SPIRIT`) - RETURN r - :result:, ) type='DIRECTED' properties={'keywords': '"introspection, transformation"', 'description': '"The Spirit visits Scrooge in his bedroom, representing a profound moment of transformation and introspection for Scrooge."', 'weight': 8.0, 'source_id': 'chunk-da2472b4ef2a535b62908f14d0fb0ca9'}> -2024-10-29 15:08:30,072 - lightrag - INFO - get_edge:query: - MATCH (source:`JACOB MARLEY`)-[r]-(target:`SCROOGE`) - RETURN r - :result:, ) type='DIRECTED' properties={'keywords': '"catalyst for change, supernatural guidance""past influence, warning""redemption, moral lesson""supernatural encounter, past ties""transformation, influence""warning, transformation"', 'description': '"Jacob Marley is the spirit who brings forth the need for Scrooge to change his ways, impacting his character development.""Scrooge confronts Jacob Marley, his former business partner, who returns as a ghost to influence Scrooge\'s perspective on life and his actions.""Scrooge converses with the ghost of Jacob Marley, who tries to guide him toward understanding the importance of compassion and the consequences of his actions.""Scrooge interacts with Jacob Marley, who serves as a critical warning for Scrooge to change his ways before it\'s too late.""Scrooge reflects on Jacob Marley’s past warnings, which serve as a catalyst for his transformation.""Scrooge\'s transformation is prompted by the appearance and message of Jacob Marley, his former business partner."', 'weight': 54.0, 'source_id': 'chunk-90b95db5c53e4364a6bee36b7aa4d70fchunk-1aa50206d02ed89418f65f97c6441d1cchunk-02baee20cc9463dbe08170a8e1043e32chunk-91572b3cd42786ba4cb2f180ca25cbf4chunk-da2472b4ef2a535b62908f14d0fb0ca9chunk-359187e7571bda4b0b08b2e0b6581e52'}> -2024-10-29 15:08:30,168 - lightrag - INFO - get_edge:query: - MATCH (source:`FOG`)-[r]-(target:`SCROOGE`) - RETURN r - :result:, ) type='DIRECTED' properties={'keywords': '"atmosphere, emotional reflection"', 'description': '"Fog represents the obscured vision of Scrooge\'s soul and emotions, aligning with his unknowable nature."', 'weight': 8.0, 'source_id': 'chunk-d9aac3484185ac66045df92214d245d5'}> -2024-10-29 15:08:30,266 - lightrag - INFO - get_edge:query: - MATCH (source:`SCROOGE`)-[r]-(target:`THE GHOST`) - RETURN r - :result:, ) type='DIRECTED' properties={'keywords': '"guidance, transformation""memory, influence""reflection, guidance""self-reflection, transformation"', 'description': '"Scrooge\'s engagement with The Ghost prompts a significant emotional and psychological transformation as he confronts his past.""The Ghost guides Scrooge through visions of his past, forcing him to confront his choices and their consequences.""The Ghost influences Scrooge\'s reflections on his past and his current emotions regarding Christmas festivities.""The Ghost serves as a catalyst for Scrooge\'s reflections, guiding him to confront his past and feelings about Christmas."', 'weight': 35.0, 'source_id': 'chunk-da2472b4ef2a535b62908f14d0fb0ca9chunk-43c9bee23adfa77aa9dedd22401bba7dchunk-54bdd22db1f84a965b5f4c06c9216d8dchunk-8590d9263cd2cd4fa583c432fc54e6c3'}> -2024-10-29 15:08:30,366 - lightrag - INFO - get_edge:query: - MATCH (source:`MARLEY`)-[r]-(target:`SCROOGE`) - RETURN r - :result:, ) type='DIRECTED' properties={'keywords': '"mourning, partnership""past influence, personal history""redemption, confrontation""supernatural connection, past relationships"', 'description': '"Marley’s influence and past relationship with Scrooge is indicated, suggesting a connection that impacts Scrooge\'s character growth.""Scrooge is deeply affected by Marley\'s death, illustrated through his role as the sole executor and mourner of Marley.""Scrooge reflects on Marley, revealing his past connection and the haunting aspect of Marley\'s death, which influences Scrooge\'s character arc.""Scrooge\'s encounter with Marley’s Ghost serves as a confrontation with his past self and the life choices he regrets, depicting the theme of redemption."', 'weight': 32.0, 'source_id': 'chunk-d9aac3484185ac66045df92214d245d5chunk-843b5b2f944c7413d9ca876e2e2f151fchunk-89777b838d5447c7bd1ec11282c4ee89chunk-9c43dac2fcd5b578242d907ea6f8fc7b'}> -2024-10-29 15:08:30,469 - lightrag - INFO - get_edge:query: - MATCH (source:`FROST`)-[r]-(target:`SCROOGE`) - RETURN r - :result:, ) type='DIRECTED' properties={'keywords': '"atmospheric condition, characterization"', 'description': '"Frost enhances the chilling atmosphere around Scrooge\'s life and mindset, reflecting his cold character."', 'weight': 8.0, 'source_id': 'chunk-d9aac3484185ac66045df92214d245d5'}> -2024-10-29 15:08:30,568 - lightrag - INFO - get_edge:query: - MATCH (source:`SCROOGE`)-[r]-(target:`THE PAST`) - RETURN r - :result:, ) type='DIRECTED' properties={'keywords': '"self-reflection, choices"', 'description': '"Scrooge must acknowledge The Past to understand his current situation and guide his choices for the future."', 'weight': 9.0, 'source_id': 'chunk-91572b3cd42786ba4cb2f180ca25cbf4'}> -2024-10-29 15:08:30,672 - lightrag - INFO - get_edge:query: - MATCH (source:`MARLEY'S GHOST`)-[r]-(target:`THE CANDLE`) - RETURN r - :result:, ) type='DIRECTED' properties={'keywords': '"hope, contrast"', 'description': '"The Candle\'s light contrasts with the darkness of the haunting, representing the flicker of hope amidst Scrooge\'s despair."', 'weight': 7.0, 'source_id': 'chunk-9c43dac2fcd5b578242d907ea6f8fc7b'}> -2024-10-29 15:08:30,770 - lightrag - INFO - get_edge:query: - MATCH (source:`CITY`)-[r]-(target:`SCROOGE`) - RETURN r - :result:, ) type='DIRECTED' properties={'keywords': '"indifference, societal critique""societal impact, personal change"', 'description': '"Scrooge experiences the indifference of the City towards his death, illustrating societal apathy.""Scrooge\'s transformation is set against the backdrop of the City, reflecting the societal implications of his personal changes."', 'weight': 15.0, 'source_id': 'chunk-843b5b2f944c7413d9ca876e2e2f151fchunk-02baee20cc9463dbe08170a8e1043e32'}> -2024-10-29 15:08:30,866 - lightrag - INFO - get_edge:query: - MATCH (source:`DREAM`)-[r]-(target:`EBENEZER SCROOGE`) - RETURN r - :result:, ) type='DIRECTED' properties={'keywords': '"reality vs. illusion, introspection"', 'description': '"Scrooge contemplates whether his experiences are merely a Dream, showcasing his inner conflict with reality and imagination."', 'weight': 6.0, 'source_id': 'chunk-c7b10789a9cb0af6c553730b29bd9034'}> -2024-10-29 15:08:30,965 - lightrag - INFO - get_edge:query: - MATCH (source:`LONDON`)-[r]-(target:`SCROOGE`) - RETURN r - :result:, ) type='DIRECTED' properties={'keywords': '"setting, seasonal context""setting, transformation"', 'description': '"London as the setting contextualizes Scrooge\'s experiences and transformations regarding Christmas celebrations.""Scrooge\'s experiences reflect the larger context of life in London during the festive season, emphasizing the mood of the city at that time."', 'weight': 12.0, 'source_id': 'chunk-d9aac3484185ac66045df92214d245d5chunk-43c9bee23adfa77aa9dedd22401bba7d'}> -2024-10-29 15:08:31,063 - lightrag - INFO - get_edge:query: - MATCH (source:`CHILDREN`)-[r]-(target:`SPIRIT`) - RETURN r - :result:, ) type='DIRECTED' properties={'keywords': '"social issues, innocence"', 'description': '"The Spirit introduces Scrooge to the Children as representations of societal neglect, urging recognition and action."', 'weight': 9.0, 'source_id': 'chunk-e7637ff18c5ded77a68cce0a87883fad'}> -2024-10-29 15:08:31,161 - lightrag - INFO - get_edge:query: - MATCH (source:`CHRISTMAS`)-[r]-(target:`THE GHOST`) - RETURN r - :result:, ) type='DIRECTED' properties={'keywords': '"spiritual guide, thematic connection"', 'description': '"The Ghosts represent the essence of Christmas, highlighting the themes of generosity and change during this festive time."', 'weight': 8.0, 'source_id': 'chunk-02baee20cc9463dbe08170a8e1043e32'}> -2024-10-29 15:08:31,257 - lightrag - INFO - get_edge:query: - MATCH (source:`SCROOGE`)-[r]-(target:`THE GHOST OF CHRISTMAS PAST`) - RETURN r - :result:, ) type='DIRECTED' properties={'keywords': '"introspection, memory"', 'description': '"The Ghost of Christmas Past guides Scrooge through recollections, prompting his introspection about his former self and choices."', 'weight': 10.0, 'source_id': 'chunk-b2f98bc7abb0c67d4c86055c7fd72218'}> -2024-10-29 15:08:31,350 - lightrag - INFO - get_edge:query: - MATCH (source:`SCROOGE`)-[r]-(target:`SPIRIT`) - RETURN r - :result:, ) type='DIRECTED' properties={'keywords': '"guidance, emotional journey""guidance, transformation""personal growth, spiritual journey""reflection, guidance"', 'description': '"Scrooge engages with the Spirit, who guides him through reflections on his life and warns him of societal issues.""Scrooge learns from the Spirit about the consequences of his actions and the sentiments evoked by death, leading to personal growth.""Scrooge’s interaction with the Spirit emphasizes the emotional weight of his past decisions and feelings as they relate to his transformation.""The Spirit directly influences Scrooge’s transformation and highlights the importance of compassion in human life."', 'weight': 34.0, 'source_id': 'chunk-02baee20cc9463dbe08170a8e1043e32chunk-bb21d58d36c6306fd8810ddd51c4a971chunk-83ac129dc9b56f84c46760d153d68e93chunk-e7637ff18c5ded77a68cce0a87883fad'}> -2024-10-29 15:08:31,447 - lightrag - INFO - get_edge:query: - MATCH (source:`GHOST`)-[r]-(target:`HUMANITY`) - RETURN r - :result:, ) type='DIRECTED' properties={'keywords': '"social consciousness, humanitarian appeal"', 'description': '"The Ghost symbolizes humanity\'s need for introspection and change, urging Scrooge to recognize and act upon social issues."', 'weight': 9.0, 'source_id': 'chunk-e7637ff18c5ded77a68cce0a87883fad'}> -2024-10-29 15:08:31,551 - lightrag - INFO - get_edge:query: - MATCH (source:`SCROOGE`)-[r]-(target:`THE DRESSING-GOWN`) - RETURN r - :result:, ) type='DIRECTED' properties={'keywords': '"characterization, solitude"', 'description': '"The Dressing-Gown emphasizes Scrooge\'s character as a solitary, reclusive man, reinforcing his isolation during the haunting."', 'weight': 7.0, 'source_id': 'chunk-9c43dac2fcd5b578242d907ea6f8fc7b'}> -2024-10-29 15:08:31,653 - lightrag - INFO - get_edge:query: - MATCH (source:`SCHOOL`)-[r]-(target:`SPIRIT`) - RETURN r - :result:, ) type='DIRECTED' properties={'keywords': '"reflection, nostalgia"', 'description': '"The Spirit leads Scrooge to the School, invoking memories of solitary times that deeply impact his emotional state."', 'weight': 6.0, 'source_id': 'chunk-bb21d58d36c6306fd8810ddd51c4a971'}> -2024-10-29 15:08:31,753 - lightrag - INFO - get_edge:query: - MATCH (source:`SCROOGE`)-[r]-(target:`THE SPIRIT`) - RETURN r - :result:, ) type='DIRECTED' properties={'keywords': '"guidance, transformation""moral guidance, transformation""self-reflection, transformation""supernatural guidance, self-reflection""supernatural intervention, guidance"', 'description': '"Scrooge engages with the Spirit as it reveals memories that prompt significant self-reflection and consideration of change.""Scrooge is guided by the Spirit, who shows him different scenes related to the joy and struggles of Christmas, aiming to change his heart.""The Spirit challenges Scrooge\'s perspective on life, urging him to consider the implications of his actions in light of death.""The Spirit represents an upcoming change in Scrooge\'s life, aiming to guide him towards redemption.""The Spirit represents moral lessons and urges Scrooge to change his ways for a better future."', 'weight': 47.0, 'source_id': 'chunk-b2f98bc7abb0c67d4c86055c7fd72218chunk-e1f29eeadc1d8ab46dc8a0bbd3c56b64chunk-91572b3cd42786ba4cb2f180ca25cbf4chunk-da2472b4ef2a535b62908f14d0fb0ca9chunk-91614df5cb74cbe5e109a338a82041e9'}> -2024-10-29 15:08:31,857 - lightrag - INFO - get_edge:query: - MATCH (source:`MARLEY`)-[r]-(target:`THE KNOCKER`) - RETURN r - :result:, ) type='DIRECTED' properties={'keywords': '"supernatural symbolism, foreshadowing"', 'description': '"Marley is connected to the Knocker as the ghostly presence that Scrooge anticipates as he approaches his door, setting up the eerie tone of the haunting."', 'weight': 7.0, 'source_id': 'chunk-9c43dac2fcd5b578242d907ea6f8fc7b'}> -2024-10-29 15:08:31,960 - lightrag - INFO - get_edge:query: - MATCH (source:`SCROOGE`)-[r]-(target:`THE GRATE`) - RETURN r - :result:, ) type='DIRECTED' properties={'keywords': '"isolation, setting mood"', 'description': '"The Grate\'s cold fire adds to the bleak setting of Scrooge\'s home, illustrating his disconnection from warmth and comfort before the supernatural events unfold."', 'weight': 6.0, 'source_id': 'chunk-9c43dac2fcd5b578242d907ea6f8fc7b'}> -2024-10-29 15:08:32,062 - lightrag - INFO - get_edge:query: - MATCH (source:`CRATCHIT FAMILY`)-[r]-(target:`SCROOGE`) - RETURN r - :result:, ) type='DIRECTED' properties={'keywords': '"compassion, social awareness"', 'description': '"Scrooge\'s reflections on the Cratchit family\'s situation symbolize his evolving understanding of compassion and social responsibility."', 'weight': 7.0, 'source_id': 'chunk-83ac129dc9b56f84c46760d153d68e93'}> -2024-10-29 15:08:32,156 - lightrag - INFO - get_edge:query: - MATCH (source:`SCROOGE`)-[r]-(target:`THE OBSCURE PART OF TOWN`) - RETURN r - :result:, ) type='DIRECTED' properties={'keywords': '"confrontation, societal reflection"', 'description': '"Scrooge\'s journey leads him to the Obscure Part of Town, representing his confrontation with the darker aspects of life and society."', 'weight': 9.0, 'source_id': 'chunk-f1a4fbcf1ed86864b9bfd5e8dba4c683'}> -2024-10-29 15:08:32,250 - lightrag - INFO - get_edge:query: - MATCH (source:`ALMSHOUSE`)-[r]-(target:`SPIRIT`) - RETURN r - :result:, ) type='DIRECTED' properties={'keywords': '"social critique, awareness"', 'description': '"The Spirit shows Scrooge the Almshouse to illustrate the plight of the poor and the societal neglect present during the holiday season."', 'weight': 9.0, 'source_id': 'chunk-e7637ff18c5ded77a68cce0a87883fad'}> -2024-10-29 15:08:32,346 - lightrag - INFO - get_edge:query: - MATCH (source:`SCROOGE`)-[r]-(target:`THE MAIN STREET`) - RETURN r - :result:, ) type='DIRECTED' properties={'keywords': '"social dynamics, personal struggle"', 'description': '"Scrooge\'s experiences on The Main Street during Christmas time reflect his discontent with the surrounding joy and celebrations."', 'weight': 6.0, 'source_id': 'chunk-90d5764e301321c087f5a8f78b73a145'}> -2024-10-29 15:08:32,445 - lightrag - INFO - get_edge:query: - MATCH (source:`SCROOGE`)-[r]-(target:`THE THREE SPIRITS`) - RETURN r - :result:, ) type='DIRECTED' properties={'keywords': '"redemption, transformation"', 'description': '"Scrooge is directly involved in the narrative concerning the Three Spirits who are meant to guide him toward redemption."', 'weight': 9.0, 'source_id': 'chunk-cb661c37436355ccec2769b1d0350c5f'}> -2024-10-29 15:08:32,543 - lightrag - INFO - get_edge:query: - MATCH (source:`MANKIND`)-[r]-(target:`SCROOGE`) - RETURN r - :result:, ) type='DIRECTED' properties={'keywords': '"moral responsibility, social awareness"', 'description': '"Scrooge\'s actions and neglect of mankind are highlighted in Marley\'s admonitions, emphasizing the need for connection and care for others."', 'weight': 7.0, 'source_id': 'chunk-359187e7571bda4b0b08b2e0b6581e52'}> -2024-10-29 15:08:32,659 - lightrag - INFO - get_edge:query: - MATCH (source:`SCROOGE`)-[r]-(target:`SHADOW OF HIMSELF`) - RETURN r - :result:, ) type='DIRECTED' properties={'keywords': '"introspection, personal growth"', 'description': '"Scrooge hopes to learn from the Shadow of Himself, signifying his desire for personal growth and understanding of his life choices."', 'weight': 9.0, 'source_id': 'chunk-f1a4fbcf1ed86864b9bfd5e8dba4c683'}> -2024-10-29 15:08:32,781 - lightrag - INFO - get_edge:query: - MATCH (source:`THE FROZEN MOOR`)-[r]-(target:`THE SETTING SUN`) - RETURN r - :result:, ) type='DIRECTED' properties={'keywords': '"nature, contrast"', 'description': '"The Setting Sun casts a dramatic light on the Frozen Moor, highlighting the stark beauty and desolation of the landscape."', 'weight': 6.0, 'source_id': 'chunk-91614df5cb74cbe5e109a338a82041e9'}> -2024-10-29 15:08:32,875 - lightrag - INFO - get_edge:query: - MATCH (source:`SCROOGE`)-[r]-(target:`WANT`) - RETURN r - :result:, ) type='DIRECTED' properties={'keywords': '"social critique, consequences"', 'description': '"Scrooge is shown the consequences of Want, reflecting on the impacts of desire and neglect in society."', 'weight': 9.0, 'source_id': 'chunk-02baee20cc9463dbe08170a8e1043e32'}> -2024-10-29 15:08:32,969 - lightrag - INFO - get_edge:query: - MATCH (source:`SCROOGE`)-[r]-(target:`THE BED`) - RETURN r - :result:, ) type='DIRECTED' properties={'keywords': '"contemplation, mortality"', 'description': '"Scrooge observes The Bed where The Deceased lies, prompting profound thoughts on mortality and regret."', 'weight': 9.0, 'source_id': 'chunk-e1f29eeadc1d8ab46dc8a0bbd3c56b64'}> -2024-10-29 15:08:33,064 - lightrag - INFO - get_edge:query: - MATCH (source:`JACOB MARLEY`)-[r]-(target:`THE FUTURE`) - RETURN r - :result:, ) type='DIRECTED' properties={'keywords': '"foreshadowing, caution"', 'description': '"Jacob Marley\'s warning about the consequences of ignorance reflects on the potential dark Future that awaits Scrooge."', 'weight': 9.0, 'source_id': 'chunk-02baee20cc9463dbe08170a8e1043e32'}> -2024-10-29 15:08:33,163 - lightrag - INFO - get_edge:query: - MATCH (source:`THE LOW-BROWED SHOP`)-[r]-(target:`THE OBSCURE PART OF TOWN`) - RETURN r - :result:, ) type='DIRECTED' properties={'keywords': '"symbolism, decay"', 'description': '"The Low-Browed Shop is located in The Obscure Part of Town, symbolizing the decay and neglect found in that area."', 'weight': 6.0, 'source_id': 'chunk-f1a4fbcf1ed86864b9bfd5e8dba4c683'}> -2024-10-29 15:08:33,260 - lightrag - INFO - get_edge:query: - MATCH (source:`DEATH`)-[r]-(target:`SCROOGE`) - RETURN r - :result:, ) type='DIRECTED' properties={'keywords': '"existential crisis, contemplation"', 'description': '"Scrooge grapples with the idea of Death as he witnesses the aftermath of The Deceased\'s life, leading to an inner turmoil."', 'weight': 9.0, 'source_id': 'chunk-e1f29eeadc1d8ab46dc8a0bbd3c56b64'}> -2024-10-29 15:08:33,358 - lightrag - INFO - get_edge:query: - MATCH (source:`CHRISTMAS`)-[r]-(target:`THE LAMPLIGHTER`) - RETURN r - :result:, ) type='DIRECTED' properties={'keywords': '"symbolism, holiday spirit"', 'description': '"The Lamplighter\'s actions of spreading light symbolize the joy and warmth associated with Christmas."', 'weight': 7.0, 'source_id': 'chunk-91614df5cb74cbe5e109a338a82041e9'}> -2024-10-29 15:08:33,452 - lightrag - INFO - get_edge:query: - MATCH (source:`SCROOGE`)-[r]-(target:`THE YOUNG GIRL`) - RETURN r - :result:, ) type='DIRECTED' properties={'keywords': '"reflection, lost love"', 'description': '"Scrooge reflects on his past feelings for the Young Girl, recognizing the change in his own spirit and desires over time."', 'weight': 8.0, 'source_id': 'chunk-54bdd22db1f84a965b5f4c06c9216d8d'}> -2024-10-29 15:08:33,547 - lightrag - INFO - get_edge:query: - MATCH (source:`CRATCHIT FAMILY`)-[r]-(target:`DEATH`) - RETURN r - :result:, ) type='DIRECTED' properties={'keywords': '"grief, family dynamics"', 'description': '"The death event impacts the Cratchit family deeply, influencing their emotional state and perceptions of hope and kindness."', 'weight': 8.0, 'source_id': 'chunk-83ac129dc9b56f84c46760d153d68e93'}> -2024-10-29 15:08:33,644 - lightrag - INFO - get_edge:query: - MATCH (source:`GHOST`)-[r]-(target:`SCROOGE`) - RETURN r - :result:, ) type='DIRECTED' properties={'keywords': '"reflection, self-discovery""spiritual guidance, transformation"', 'description': '"The Ghost guides Scrooge through reflections of his past, influencing his journey toward redemption.""The Ghost takes Scrooge on a journey to teach him lessons about generosity and compassion towards others."', 'weight': 17.0, 'source_id': 'chunk-c6c248858d1b13ab7ee9ca13c1aeed6bchunk-e7637ff18c5ded77a68cce0a87883fad'}> -2024-10-29 15:08:33,742 - lightrag - INFO - get_edge:query: - MATCH (source:`SCROOGE`)-[r]-(target:`THE HOUSE`) - RETURN r - :result:, ) type='DIRECTED' properties={'keywords': '"haunting, setting influence"', 'description': '"Scrooge\'s experiences with Marley\'s Ghost occur within The House, which plays a crucial role in the haunting atmosphere."', 'weight': 8.0, 'source_id': 'chunk-9c43dac2fcd5b578242d907ea6f8fc7b'}> -2024-10-29 15:08:33,834 - lightrag - INFO - get_edge:query: - MATCH (source:`MARTHA`)-[r]-(target:`THE COUNTESS`) - RETURN r - :result:, ) type='DIRECTED' properties={'keywords': '"social contrast, aspirations"', 'description': '"Martha\'s encounter with The Countess reflects her aspirations and experiences outside her lower socio-economic status."', 'weight': 4.0, 'source_id': 'chunk-19d72c57ae3408758b18d2568e86dc6b'}> -2024-10-29 15:08:33,926 - lightrag - INFO - get_edge:query: - MATCH (source:`DEATH`)-[r]-(target:`THE FUTURE`) - RETURN r - :result:, ) type='DIRECTED' properties={'keywords': '"consequences of choices, reflection"', 'description': '"The concept of The Future is intricately linked to discussions about Death, pondering the consequences of life\'s choices."', 'weight': 7.0, 'source_id': 'chunk-02baee20cc9463dbe08170a8e1043e32'}> -2024-10-29 15:08:34,022 - lightrag - INFO - get_edge:query: - MATCH (source:`BOB CRATCHIT`)-[r]-(target:`TINY TIM`) - RETURN r - :result:, ) type='DIRECTED' properties={'keywords': '"family bond, care""family bond, love""family love, vulnerability""family, struggle""family, support""father-son bond, care"', 'description': '"Bob Cratchit deeply cares for Tiny Tim, demonstrating emotional support and love, especially in moments of distress.""Bob Cratchit expresses love and concern for his son Tiny Tim during the Christmas dinner, highlighting a strong familial bond.""Bob Cratchit is Tiny Tim\'s father, and the turkey Scrooge plans to send will impact Tiny Tim\'s well-being.""Bob Cratchit is Tiny Tim\'s father, and their relationship highlights the theme of family struggle and love, especially during Christmas.""Bob Cratchit shows deep care for Tiny Tim, helping him and expressing pride in his strength and character despite challenges.""Bob Cratchit\'s concern for Tiny Tim illustrates the deep familial love and the challenges facing the Cratchit family."', 'weight': 48.0, 'source_id': 'chunk-83ac129dc9b56f84c46760d153d68e93chunk-503f0bfa5453467c7c61d160a3540ecachunk-1d4b58de5429cd1261370c231c8673e8chunk-90b95db5c53e4364a6bee36b7aa4d70fchunk-94bea83e7153fc2064aa382b494936a1chunk-7e2e7ebcc19a53b399dc03aded4743e7'}> -2024-10-29 15:08:34,118 - lightrag - INFO - get_edge:query: - MATCH (source:`SCROOGE`)-[r]-(target:`THE CLOCK`) - RETURN r - :result:, ) type='DIRECTED' properties={'keywords': '"time distortion, confusion"', 'description': '"Scrooge\'s interaction with the faulty clock symbolizes his disconnection from time and reality, as he struggles to comprehend his experiences."', 'weight': 6.0, 'source_id': 'chunk-cb661c37436355ccec2769b1d0350c5f'}> -2024-10-29 15:08:34,211 - lightrag - INFO - get_edge:query: - MATCH (source:`SCROOGE`)-[r]-(target:`THE COUNTING-HOUSE`) - RETURN r - :result:, ) type='DIRECTED' properties={'keywords': '"work environment, character development""work environment, personality reflection"', 'description': '"Scrooge\'s work environment reflects his personality, being cold and uninviting, mirroring his discontent with life.""The Counting-House is where Scrooge works, illustrating the environment that shapes his bleak personality."', 'weight': 14.0, 'source_id': 'chunk-d9aac3484185ac66045df92214d245d5chunk-74e2466de2f67fd710ef2f20c0a8d9e0'}> -2024-10-29 15:08:34,305 - lightrag - INFO - get_edge:query: - MATCH (source:`GHOST`)-[r]-(target:`IGNORANCE`) - RETURN r - :result:, ) type='DIRECTED' properties={'keywords': '"societal issues, responsibility"', 'description': '"The Ghost presents Ignorance to Scrooge as a representation of societal neglect and a call for responsibility from humanity."', 'weight': 8.0, 'source_id': 'chunk-e7637ff18c5ded77a68cce0a87883fad'}> -2024-10-29 15:08:34,400 - lightrag - INFO - get_edge:query: - MATCH (source:`FRIDAY`)-[r]-(target:`SCROOGE`) - RETURN r - :result:, ) type='DIRECTED' properties={'keywords': '"storytelling, childhood memories"', 'description': '"Scrooge\'s mention of Friday signifies his recollection of childhood stories and influences during Christmas time."', 'weight': 5.0, 'source_id': 'chunk-8590d9263cd2cd4fa583c432fc54e6c3'}> -2024-10-29 15:08:34,495 - lightrag - INFO - get_edge:query: - MATCH (source:`SCROOGE`)-[r]-(target:`THE BLANKETS`) - RETURN r - :result:, ) type='DIRECTED' properties={'keywords': '"neglect, reflection"', 'description': '"Scrooge contemplates the significance of The Blankets, linking them to the neglected state of The Deceased in death."', 'weight': 8.0, 'source_id': 'chunk-e1f29eeadc1d8ab46dc8a0bbd3c56b64'}> -2024-10-29 15:08:34,596 - lightrag - INFO - get_edge:query: - MATCH (source:`SCROOGE`)-[r]-(target:`TINY TIM`) - RETURN r - :result:, ) type='DIRECTED' properties={'keywords': '"personal transformation, empathy""transformation, mentorship""transformation, redemption"', 'description': '"Scrooge becomes a father figure to Tiny Tim, showing a deep commitment to his well-being after realizing the importance of family and caring for others.""Scrooge reflects on Tiny Tim and expresses concern for his wellbeing, indicating a pivotal change in his character and attitudes towards the less fortunate.""Scrooge\'s transformation is influenced by his reflections on the impact of Tiny Tim\'s life and death."', 'weight': 26.0, 'source_id': 'chunk-94bea83e7153fc2064aa382b494936a1chunk-503f0bfa5453467c7c61d160a3540ecachunk-91572b3cd42786ba4cb2f180ca25cbf4'}> -2024-10-29 15:08:34,696 - lightrag - INFO - get_edge:query: - MATCH (source:`SCROOGE`)-[r]-(target:`THE GHOST OF JACOB MARLEY`) - RETURN r - :result:, ) type='DIRECTED' properties={'keywords': '"transformation, warning"', 'description': '"Scrooge\'s encounter with the Ghost of Jacob Marley initiates his journey of self-reflection and realization."', 'weight': 10.0, 'source_id': 'chunk-90b95db5c53e4364a6bee36b7aa4d70f'}> -2024-10-29 15:08:34,798 - lightrag - INFO - get_edge:query: - MATCH (source:`MRS. CRATCHIT`)-[r]-(target:`SCROOGE`) - RETURN r - :result:, ) type='DIRECTED' properties={'keywords': '"criticism, emotional conflict"', 'description': '"Mrs. Cratchit openly criticizes Scrooge during the Christmas dinner, expressing her feelings towards him and emphasizing the family\'s resentment."', 'weight': 8.0, 'source_id': 'chunk-19d72c57ae3408758b18d2568e86dc6b'}> -2024-10-29 15:11:13,443 - lightrag - INFO - Logger initialized for working directory: ./neo4jWorkDir -2024-10-29 15:11:13,443 - lightrag - DEBUG - LightRAG init with param: - working_dir = ./neo4jWorkDir, - chunk_token_size = 1200, - chunk_overlap_token_size = 100, - tiktoken_model_name = gpt-4o-mini, - entity_extract_max_gleaning = 1, - entity_summary_to_max_tokens = 500, - node_embedding_algorithm = node2vec, - node2vec_params = {'dimensions': 1536, 'num_walks': 10, 'walk_length': 40, 'window_size': 2, 'iterations': 3, 'random_seed': 3}, - embedding_func = {'embedding_dim': 1536, 'max_token_size': 8192, 'func': }, - embedding_batch_num = 32, - embedding_func_max_async = 16, - llm_model_func = , - llm_model_name = meta-llama/Llama-3.2-1B-Instruct, - llm_model_max_token_size = 32768, - llm_model_max_async = 16, - key_string_value_json_storage_cls = , - vector_db_storage_cls = , - vector_db_storage_cls_kwargs = {}, - graph_storage_cls = , - enable_llm_cache = True, - addon_params = {}, - convert_response_to_json_func = - -2024-10-29 15:11:13,444 - lightrag - INFO - Load KV full_docs with 1 data -2024-10-29 15:11:13,444 - lightrag - INFO - Load KV text_chunks with 42 data -2024-10-29 15:11:13,445 - lightrag - INFO - Load KV llm_response_cache with 88 data -2024-10-29 15:11:13,466 - lightrag - INFO - Creating a new event loop in a sub-thread. -2024-10-29 15:11:13,466 - lightrag - WARNING - All docs are already in the storage -2024-10-29 15:11:13,489 - lightrag - INFO - Creating a new event loop in a sub-thread. -2024-10-29 15:11:14,228 - lightrag - INFO - Truncate 39 to 3 chunks -2024-10-29 15:11:14,238 - lightrag - INFO - Creating a new event loop in a sub-thread. -2024-10-29 15:11:15,324 - lightrag - INFO - get_node:query:MATCH (n:`EMOTION`) RETURN n:result: -2024-10-29 15:11:15,418 - lightrag - INFO - get_node:query:MATCH (n:`DARKNESS`) RETURN n:result: -2024-10-29 15:11:15,507 - lightrag - INFO - get_node:query:MATCH (n:`THE PHANTOM`) RETURN n:result: -2024-10-29 15:11:15,596 - lightrag - INFO - get_node:query:MATCH (n:`THE COSMIC SIGNIFICANCE`) RETURN n:result: -2024-10-29 15:11:15,686 - lightrag - INFO - get_node:query:MATCH (n:`CHRISTMAS HOLIDAYS`) RETURN n:result: -2024-10-29 15:11:15,778 - lightrag - INFO - get_node:query:MATCH (n:`PONDEROUS CHAIN`) RETURN n:result: -2024-10-29 15:11:15,869 - lightrag - INFO - get_node:query:MATCH (n:`HUMANITY`) RETURN n:result: -2024-10-29 15:11:15,962 - lightrag - INFO - get_node:query:MATCH (n:`CHRISTMAS`) RETURN n:result:"Christmas is a festive occasion that has led to a joyful transformation in Scrooge\'s character and actions.""Christmas is a festive time celebrated by the Cratchit family, symbolizing joy, family togetherness, and generosity.""Christmas is a significant holiday that serves as the backdrop for Scrooge\'s transformation and the events that unfold during the narrative.""Christmas is a significant holiday that triggers Scrooge\'s memories and reflections on joy, loneliness, and his past.""Christmas is central to the text, symbolizing generosity, charity, and warmth that Scrooge rejects.""Christmas is depicted as a festive season when charity and social duty are emphasized, contrasting with Scrooge\'s values.""Christmas is depicted as a time associated with joy and abundance, contrasting with Scrooge\'s initial views.""Christmas is depicted as a time of joy and communal spirit, marked by people\'s activities and interactions in the streets.""Christmas is depicted as a time of joy and generosity, contrasting sharply with Scrooge\'s past behavior and current solitude.""Christmas is portrayed as a festive time that Scrooge dismisses, emphasizing the contrast between joy and his miserable attitude.""Christmas is portrayed as a time of joy, reflection, and connection, emphasizing the positive impact of the holiday spirit on individuals and communities.""Christmas is presented as a time for merriment and social gatherings, which Scrooge\'s nephew advocates for despite his uncle\'s opposition.""Christmas is the central holiday during which the events unfold, leading to significant character transformations and themes of generosity.""Christmas is the season during which festive activities and celebrations are occurring, including dances and gatherings.""Christmas represents a time of reflection and change for Scrooge, emphasizing themes of redemption.""Christmas serves as a thematic backdrop for the story, symbolizing redemption, generosity, and the spirit of giving."', 'source_id': 'chunk-91614df5cb74cbe5e109a338a82041e9chunk-503f0bfa5453467c7c61d160a3540ecachunk-773d0df1dd25c356f7b771d780583e09chunk-8f738cb25d60a7dab782162d9d0a25edchunk-e7637ff18c5ded77a68cce0a87883fadchunk-8590d9263cd2cd4fa583c432fc54e6c3chunk-54bdd22db1f84a965b5f4c06c9216d8dchunk-02baee20cc9463dbe08170a8e1043e32chunk-90d5764e301321c087f5a8f78b73a145chunk-91572b3cd42786ba4cb2f180ca25cbf4chunk-1d4b58de5429cd1261370c231c8673e8chunk-da2472b4ef2a535b62908f14d0fb0ca9chunk-94bea83e7153fc2064aa382b494936a1chunk-89777b838d5447c7bd1ec11282c4ee89chunk-99b0ec7f7e006561352b5d65e849611dchunk-74e2466de2f67fd710ef2f20c0a8d9e0chunk-5dac41b3f9eeaf794f0147400b1718cd'}> -2024-10-29 15:11:16,050 - lightrag - INFO - get_node:query:MATCH (n:`DEATH`) RETURN n:result:"Death is described as a powerful force in the narrative, represented through the imagery of a cold, rigid presence and the contemplation of mortality.""Death refers to the passing of a character that triggers a range of emotions and reflections among the living, influencing their lives and relationships."', 'source_id': 'chunk-e1f29eeadc1d8ab46dc8a0bbd3c56b64chunk-83ac129dc9b56f84c46760d153d68e93chunk-02baee20cc9463dbe08170a8e1043e32'}> -2024-10-29 15:11:16,140 - lightrag - INFO - get_node:query:MATCH (n:`SCROOGE`) RETURN n:result:chunk-b2f98bc7abb0c67d4c86055c7fd72218chunk-91614df5cb74cbe5e109a338a82041e9chunk-8f738cb25d60a7dab782162d9d0a25edchunk-e7637ff18c5ded77a68cce0a87883fadchunk-d9aac3484185ac66045df92214d245d5chunk-90b95db5c53e4364a6bee36b7aa4d70fchunk-89777b838d5447c7bd1ec11282c4ee89chunk-c6c248858d1b13ab7ee9ca13c1aeed6bchunk-5dac41b3f9eeaf794f0147400b1718cdchunk-773d0df1dd25c356f7b771d780583e09chunk-843b5b2f944c7413d9ca876e2e2f151fchunk-f1a4fbcf1ed86864b9bfd5e8dba4c683chunk-359187e7571bda4b0b08b2e0b6581e52chunk-503f0bfa5453467c7c61d160a3540ecachunk-9c43dac2fcd5b578242d907ea6f8fc7bchunk-b0f459f5af1c3a5e0b92cbe4ee48b77bchunk-1aa50206d02ed89418f65f97c6441d1cchunk-54bdd22db1f84a965b5f4c06c9216d8dchunk-cb661c37436355ccec2769b1d0350c5fchunk-90d5764e301321c087f5a8f78b73a145chunk-91572b3cd42786ba4cb2f180ca25cbf4chunk-da2472b4ef2a535b62908f14d0fb0ca9chunk-99b0ec7f7e006561352b5d65e849611dchunk-43c9bee23adfa77aa9dedd22401bba7dchunk-83ac129dc9b56f84c46760d153d68e93chunk-e1f29eeadc1d8ab46dc8a0bbd3c56b64chunk-8590d9263cd2cd4fa583c432fc54e6c3chunk-02baee20cc9463dbe08170a8e1043e32chunk-94bea83e7153fc2064aa382b494936a1chunk-74e2466de2f67fd710ef2f20c0a8d9e0chunk-19d72c57ae3408758b18d2568e86dc6b'}> -2024-10-29 15:11:16,230 - lightrag - INFO - get_node:query:MATCH (n:`RUSTY KEYS, NAILS, CHAINS, HINGES`) RETURN n:result: -2024-10-29 15:11:16,319 - lightrag - INFO - get_node:query:MATCH (n:`THE PENANCE`) RETURN n:result: -2024-10-29 15:11:16,410 - lightrag - INFO - get_node:query:MATCH (n:`MAN`) RETURN n:result: -2024-10-29 15:11:16,500 - lightrag - INFO - get_node:query:MATCH (n:`THE SCHOOLMASTER`) RETURN n:result: -2024-10-29 15:11:16,595 - lightrag - INFO - get_node:query:MATCH (n:`THE GRAVE`) RETURN n:result: -2024-10-29 15:11:16,682 - lightrag - INFO - get_node:query:MATCH (n:`KEYHOLE`) RETURN n:result: -2024-10-29 15:11:16,773 - lightrag - INFO - get_node:query:MATCH (n:`SCHOOL`) RETURN n:result: -2024-10-29 15:11:16,863 - lightrag - INFO - get_node:query:MATCH (n:`THE CHAIN`) RETURN n:result:"The Chain symbolizes the burdens of the past that haunt the spirits, showcasing the consequences of one\'s actions in life."', 'source_id': 'chunk-359187e7571bda4b0b08b2e0b6581e52chunk-cb661c37436355ccec2769b1d0350c5f'}> -2024-10-29 15:11:16,954 - lightrag - INFO - get_node:query:MATCH (n:`THE THREE SPIRITS`) RETURN n:result: -2024-10-29 15:11:17,043 - lightrag - INFO - get_node:query:MATCH (n:`THE COLD`) RETURN n:result: -2024-10-29 15:11:17,130 - lightrag - INFO - get_node:query:MATCH (n:`DEEDS`) RETURN n:result: -2024-10-29 15:11:17,217 - lightrag - INFO - get_node:query:MATCH (n:`THE BLESSED STAR`) RETURN n:result: -2024-10-29 15:11:17,308 - lightrag - INFO - get_node:query:MATCH (n:`THE CANDLE`) RETURN n:result: -2024-10-29 15:11:17,400 - lightrag - INFO - get_node:query:MATCH (n:`FROST`) RETURN n:result: -2024-10-29 15:11:17,490 - lightrag - INFO - get_node:query:MATCH (n:`THE TRANSPARENT WINDOW`) RETURN n:result: -2024-10-29 15:11:17,578 - lightrag - INFO - get_node:query:MATCH (n:`THE CANDLE-LIGHT`) RETURN n:result: -2024-10-29 15:11:17,667 - lightrag - INFO - get_node:query:MATCH (n:`POVERTY`) RETURN n:result: -2024-10-29 15:11:17,760 - lightrag - INFO - get_node:query:MATCH (n:`SUNDAY CLOTHES BOY`) RETURN n:result: -2024-10-29 15:11:17,849 - lightrag - INFO - get_node:query:MATCH (n:`THE SOLITARY CHILD`) RETURN n:result: -2024-10-29 15:11:17,939 - lightrag - INFO - get_node:query:MATCH (n:`CITY`) RETURN n:result:"The City represents the urban setting where Scrooge witnesses the indifference of its inhabitants regarding his death.""The City represents the urban setting where Scrooge\'s transformation takes place, symbolizing the broader society impacted by his changes."', 'source_id': 'chunk-843b5b2f944c7413d9ca876e2e2f151fchunk-94bea83e7153fc2064aa382b494936a1chunk-02baee20cc9463dbe08170a8e1043e32'}> -2024-10-29 15:11:18,031 - lightrag - INFO - get_node:query:MATCH (n:`FEARFUL PLACE`) RETURN n:result: -2024-10-29 15:11:18,118 - lightrag - INFO - get_node:query:MATCH (n:`IRON CABLE`) RETURN n:result: -2024-10-29 15:11:18,207 - lightrag - INFO - get_node:query:MATCH (n:`SPIRIT`) RETURN n:result:"The Spirit embodies the lessons of compassion and social responsibility, guiding Scrooge through his reflections and realizations.""The Spirit is the manifestation of Scrooge\'s past that guides him through his memories, representing his former self and the influence of time.""The Spirit represents a ghostly entity, guiding Scrooge through visions of potential future events and urging him to acknowledge societal issues.""The Spirit represents a supernatural entity guiding Scrooge through his reflections on life, death, and human emotions, prompting self-awareness.""The Spirit represents the embodiment of the Christmas present, personifying the themes of generosity and merriment."', 'source_id': 'chunk-bb21d58d36c6306fd8810ddd51c4a971chunk-83ac129dc9b56f84c46760d153d68e93chunk-e7637ff18c5ded77a68cce0a87883fadchunk-843b5b2f944c7413d9ca876e2e2f151fchunk-1aa50206d02ed89418f65f97c6441d1cchunk-02baee20cc9463dbe08170a8e1043e32'}> -2024-10-29 15:11:18,297 - lightrag - INFO - get_node:query:MATCH (n:`THE SETTING SUN`) RETURN n:result: -2024-10-29 15:11:18,387 - lightrag - INFO - get_node:query:MATCH (n:`KEYS`) RETURN n:result: -2024-10-29 15:11:18,482 - lightrag - INFO - get_node:query:MATCH (n:`THE CLOTHES AND ITEMS`) RETURN n:result: -2024-10-29 15:11:18,574 - lightrag - INFO - get_node:query:MATCH (n:`AVARICE`) RETURN n:result: -2024-10-29 15:11:18,663 - lightrag - INFO - get_node:query:MATCH (n:`THE FIREPLACE`) RETURN n:result: -2024-10-29 15:11:18,752 - lightrag - INFO - get_node:query:MATCH (n:`WANT`) RETURN n:result: -2024-10-29 15:11:18,843 - lightrag - INFO - get_node:query:MATCH (n:`THE DAUGHTER`) RETURN n:result: -2024-10-29 15:11:18,935 - lightrag - INFO - get_node:query:MATCH (n:`CHRISTMAS-TIME`) RETURN n:result:"Christmas-time represents the festive season, a recurring theme that evokes memories and emotions in Scrooge’s reflections.""Christmas-time serves as a backdrop for the narrative, emphasizing themes of reflection, mortality, and social interactions."', 'source_id': 'chunk-f1a4fbcf1ed86864b9bfd5e8dba4c683chunk-c6c248858d1b13ab7ee9ca13c1aeed6bchunk-5dac41b3f9eeaf794f0147400b1718cd'}> -2024-10-29 15:11:19,026 - lightrag - INFO - get_node:query:MATCH (n:`THE BED`) RETURN n:result: -2024-10-29 15:11:19,113 - lightrag - INFO - get_node:query:MATCH (n:`SHADOW OF HIMSELF`) RETURN n:result: -2024-10-29 15:11:19,205 - lightrag - INFO - get_node:query:MATCH (n:`KIND WORD`) RETURN n:result: -2024-10-29 15:11:19,295 - lightrag - INFO - get_node:query:MATCH (n:`GAOL`) RETURN n:result: -2024-10-29 15:11:19,402 - lightrag - INFO - get_node:query:MATCH (n:`IGNORANCE`) RETURN n:result:"Ignorance is personified as a boy that symbolizes the dangers of ignoring social issues and the consequences of a lack of awareness."', 'source_id': 'chunk-02baee20cc9463dbe08170a8e1043e32chunk-e7637ff18c5ded77a68cce0a87883fad'}> -2024-10-29 15:11:19,495 - lightrag - INFO - get_node:query:MATCH (n:`CHILDREN`) RETURN n:result:"The Children represent the joyful, carefree aspects of Scrooge\'s past, embodying happiness and the innocence of youth that he has long forgotten."', 'source_id': 'chunk-bb21d58d36c6306fd8810ddd51c4a971chunk-e7637ff18c5ded77a68cce0a87883fad'}> -2024-10-29 15:11:19,585 - lightrag - INFO - get_node:query:MATCH (n:`THE ROOM BY DAYLIGHT`) RETURN n:result: -2024-10-29 15:11:19,675 - lightrag - INFO - get_node:query:MATCH (n:`THE BOTTLE`) RETURN n:result: -2024-10-29 15:11:19,769 - lightrag - INFO - get_node:query:MATCH (n:`THE FLANNEL BAG`) RETURN n:result: -2024-10-29 15:11:19,861 - lightrag - INFO - get_node:query:MATCH (n:`THE YOUNG GIRL`) RETURN n:result: -2024-10-29 15:11:19,954 - lightrag - INFO - get_node:query:MATCH (n:`A CHRISTMAS CAROL`) RETURN n:result: -2024-10-29 15:11:20,042 - lightrag - INFO - get_node:query:MATCH (n:`THE CITY`) RETURN n:result:"The City represents the bustling urban environment where Scrooge reflects on his past, filled with activity and shadowy figures.""The City, from which Scrooge is transported, represents his past life and is contrasted with the open country road that signifies his memories."', 'source_id': 'chunk-bb21d58d36c6306fd8810ddd51c4a971chunk-c6c248858d1b13ab7ee9ca13c1aeed6bchunk-74e2466de2f67fd710ef2f20c0a8d9e0'}> -2024-10-29 15:11:20,128 - lightrag - INFO - get_node:query:MATCH (n:`GHOST`) RETURN n:result:"The Ghost refers to the spirit guiding Scrooge, embodying the themes of memory and reflection on the joys of Christmas.""The Ghost represents a spiritual guide that takes Scrooge on a journey to learn important lessons about compassion and humanity.""The Ghost serves as a supernatural guide for Scrooge, prompting him to reflect on his life and choices."', 'source_id': 'chunk-503f0bfa5453467c7c61d160a3540ecachunk-c6c248858d1b13ab7ee9ca13c1aeed6bchunk-e7637ff18c5ded77a68cce0a87883fadchunk-43c9bee23adfa77aa9dedd22401bba7d'}> -2024-10-29 15:11:20,217 - lightrag - INFO - get_node:query:MATCH (n:`MERCILESS CREDITOR`) RETURN n:result: -2024-10-29 15:11:20,302 - lightrag - INFO - get_node:query:MATCH (n:`THE SPIRITS`) RETURN n:result:"The Spirits represent the past, present, and future in Scrooge\'s life, guiding him toward redemption and self-reflection."', 'source_id': 'chunk-90b95db5c53e4364a6bee36b7aa4d70fchunk-cb661c37436355ccec2769b1d0350c5f'}> -2024-10-29 15:11:20,414 - lightrag - INFO - get_node:query:MATCH (n:`THE MOTHER`) RETURN n:result:"The Mother is a character associated with the family dynamics during the Christmas scene, though her actions are not explicitly detailed.""The Mother is depicted as a comely matron, who enjoys the laughter and chaos with her children, showing warmth and family value."', 'source_id': 'chunk-da2472b4ef2a535b62908f14d0fb0ca9chunk-83ac129dc9b56f84c46760d153d68e93chunk-54bdd22db1f84a965b5f4c06c9216d8d'}> -2024-10-29 15:11:20,502 - lightrag - INFO - get_node:query:MATCH (n:`LIGHT`) RETURN n:result: -2024-10-29 15:11:20,594 - lightrag - INFO - get_node:query:MATCH (n:`TWO YOUNG CRATCHITS`) RETURN n:result: -2024-10-29 15:11:20,681 - lightrag - INFO - get_node:query:MATCH (n:`JOE`) RETURN n:result:"Joe is a marine-store dealer depicted as receiving stolen goods, illustrating the consequences of crime and the darker sides of society.""Joe is portrayed as a character engaged in a conversation about the deceased, displaying a mix of humor and practicality in dealing with the possessions of the dead."', 'source_id': 'chunk-89777b838d5447c7bd1ec11282c4ee89chunk-9e3921da66da5d761ab73cd849af6c43chunk-e1f29eeadc1d8ab46dc8a0bbd3c56b64'}> -2024-10-29 15:11:20,827 - lightrag - INFO - _find_node_degree:query: - MATCH (n:`EMOTION`) - RETURN COUNT{ (n)--() } AS totalEdgeCount - :result:0 -2024-10-29 15:11:21,000 - lightrag - INFO - _find_node_degree:query: - MATCH (n:`DARKNESS`) - RETURN COUNT{ (n)--() } AS totalEdgeCount - :result:1 -2024-10-29 15:11:21,170 - lightrag - INFO - _find_node_degree:query: - MATCH (n:`THE PHANTOM`) - RETURN COUNT{ (n)--() } AS totalEdgeCount - :result:2 -2024-10-29 15:11:21,366 - lightrag - INFO - _find_node_degree:query: - MATCH (n:`THE COSMIC SIGNIFICANCE`) - RETURN COUNT{ (n)--() } AS totalEdgeCount - :result:0 -2024-10-29 15:11:21,533 - lightrag - INFO - _find_node_degree:query: - MATCH (n:`CHRISTMAS HOLIDAYS`) - RETURN COUNT{ (n)--() } AS totalEdgeCount - :result:0 -2024-10-29 15:11:21,704 - lightrag - INFO - _find_node_degree:query: - MATCH (n:`PONDEROUS CHAIN`) - RETURN COUNT{ (n)--() } AS totalEdgeCount - :result:0 -2024-10-29 15:11:21,883 - lightrag - INFO - _find_node_degree:query: - MATCH (n:`HUMANITY`) - RETURN COUNT{ (n)--() } AS totalEdgeCount - :result:1 -2024-10-29 15:11:22,056 - lightrag - INFO - _find_node_degree:query: - MATCH (n:`CHRISTMAS`) - RETURN COUNT{ (n)--() } AS totalEdgeCount - :result:18 -2024-10-29 15:11:22,233 - lightrag - INFO - _find_node_degree:query: - MATCH (n:`DEATH`) - RETURN COUNT{ (n)--() } AS totalEdgeCount - :result:3 -2024-10-29 15:11:22,406 - lightrag - INFO - _find_node_degree:query: - MATCH (n:`SCROOGE`) - RETURN COUNT{ (n)--() } AS totalEdgeCount - :result:100 -2024-10-29 15:11:22,581 - lightrag - INFO - _find_node_degree:query: - MATCH (n:`RUSTY KEYS, NAILS, CHAINS, HINGES`) - RETURN COUNT{ (n)--() } AS totalEdgeCount - :result:1 -2024-10-29 15:11:22,754 - lightrag - INFO - _find_node_degree:query: - MATCH (n:`THE PENANCE`) - RETURN COUNT{ (n)--() } AS totalEdgeCount - :result:0 -2024-10-29 15:11:22,929 - lightrag - INFO - _find_node_degree:query: - MATCH (n:`MAN`) - RETURN COUNT{ (n)--() } AS totalEdgeCount - :result:1 -2024-10-29 15:11:23,097 - lightrag - INFO - _find_node_degree:query: - MATCH (n:`THE SCHOOLMASTER`) - RETURN COUNT{ (n)--() } AS totalEdgeCount - :result:1 -2024-10-29 15:11:23,270 - lightrag - INFO - _find_node_degree:query: - MATCH (n:`THE GRAVE`) - RETURN COUNT{ (n)--() } AS totalEdgeCount - :result:1 -2024-10-29 15:11:23,441 - lightrag - INFO - _find_node_degree:query: - MATCH (n:`KEYHOLE`) - RETURN COUNT{ (n)--() } AS totalEdgeCount - :result:0 -2024-10-29 15:11:23,611 - lightrag - INFO - _find_node_degree:query: - MATCH (n:`SCHOOL`) - RETURN COUNT{ (n)--() } AS totalEdgeCount - :result:2 -2024-10-29 15:11:23,782 - lightrag - INFO - _find_node_degree:query: - MATCH (n:`THE CHAIN`) - RETURN COUNT{ (n)--() } AS totalEdgeCount - :result:0 -2024-10-29 15:11:23,956 - lightrag - INFO - _find_node_degree:query: - MATCH (n:`THE THREE SPIRITS`) - RETURN COUNT{ (n)--() } AS totalEdgeCount - :result:1 -2024-10-29 15:11:24,126 - lightrag - INFO - _find_node_degree:query: - MATCH (n:`THE COLD`) - RETURN COUNT{ (n)--() } AS totalEdgeCount - :result:1 -2024-10-29 15:11:24,297 - lightrag - INFO - _find_node_degree:query: - MATCH (n:`DEEDS`) - RETURN COUNT{ (n)--() } AS totalEdgeCount - :result:0 -2024-10-29 15:11:24,472 - lightrag - INFO - _find_node_degree:query: - MATCH (n:`THE BLESSED STAR`) - RETURN COUNT{ (n)--() } AS totalEdgeCount - :result:0 -2024-10-29 15:11:24,648 - lightrag - INFO - _find_node_degree:query: - MATCH (n:`THE CANDLE`) - RETURN COUNT{ (n)--() } AS totalEdgeCount - :result:1 -2024-10-29 15:11:24,817 - lightrag - INFO - _find_node_degree:query: - MATCH (n:`FROST`) - RETURN COUNT{ (n)--() } AS totalEdgeCount - :result:1 -2024-10-29 15:11:24,988 - lightrag - INFO - _find_node_degree:query: - MATCH (n:`THE TRANSPARENT WINDOW`) - RETURN COUNT{ (n)--() } AS totalEdgeCount - :result:0 -2024-10-29 15:11:25,162 - lightrag - INFO - _find_node_degree:query: - MATCH (n:`THE CANDLE-LIGHT`) - RETURN COUNT{ (n)--() } AS totalEdgeCount - :result:0 -2024-10-29 15:11:25,338 - lightrag - INFO - _find_node_degree:query: - MATCH (n:`POVERTY`) - RETURN COUNT{ (n)--() } AS totalEdgeCount - :result:1 -2024-10-29 15:11:25,511 - lightrag - INFO - _find_node_degree:query: - MATCH (n:`SUNDAY CLOTHES BOY`) - RETURN COUNT{ (n)--() } AS totalEdgeCount - :result:1 -2024-10-29 15:11:25,684 - lightrag - INFO - _find_node_degree:query: - MATCH (n:`THE SOLITARY CHILD`) - RETURN COUNT{ (n)--() } AS totalEdgeCount - :result:0 -2024-10-29 15:11:25,856 - lightrag - INFO - _find_node_degree:query: - MATCH (n:`CITY`) - RETURN COUNT{ (n)--() } AS totalEdgeCount - :result:1 -2024-10-29 15:11:26,031 - lightrag - INFO - _find_node_degree:query: - MATCH (n:`FEARFUL PLACE`) - RETURN COUNT{ (n)--() } AS totalEdgeCount - :result:0 -2024-10-29 15:11:26,209 - lightrag - INFO - _find_node_degree:query: - MATCH (n:`IRON CABLE`) - RETURN COUNT{ (n)--() } AS totalEdgeCount - :result:0 -2024-10-29 15:11:26,380 - lightrag - INFO - _find_node_degree:query: - MATCH (n:`SPIRIT`) - RETURN COUNT{ (n)--() } AS totalEdgeCount - :result:9 -2024-10-29 15:11:26,551 - lightrag - INFO - _find_node_degree:query: - MATCH (n:`THE SETTING SUN`) - RETURN COUNT{ (n)--() } AS totalEdgeCount - :result:1 -2024-10-29 15:11:26,724 - lightrag - INFO - _find_node_degree:query: - MATCH (n:`KEYS`) - RETURN COUNT{ (n)--() } AS totalEdgeCount - :result:0 -2024-10-29 15:11:26,900 - lightrag - INFO - _find_node_degree:query: - MATCH (n:`THE CLOTHES AND ITEMS`) - RETURN COUNT{ (n)--() } AS totalEdgeCount - :result:0 -2024-10-29 15:11:27,075 - lightrag - INFO - _find_node_degree:query: - MATCH (n:`AVARICE`) - RETURN COUNT{ (n)--() } AS totalEdgeCount - :result:0 -2024-10-29 15:11:27,248 - lightrag - INFO - _find_node_degree:query: - MATCH (n:`THE FIREPLACE`) - RETURN COUNT{ (n)--() } AS totalEdgeCount - :result:0 -2024-10-29 15:11:27,418 - lightrag - INFO - _find_node_degree:query: - MATCH (n:`WANT`) - RETURN COUNT{ (n)--() } AS totalEdgeCount - :result:1 -2024-10-29 15:11:27,591 - lightrag - INFO - _find_node_degree:query: - MATCH (n:`THE DAUGHTER`) - RETURN COUNT{ (n)--() } AS totalEdgeCount - :result:1 -2024-10-29 15:11:27,766 - lightrag - INFO - _find_node_degree:query: - MATCH (n:`CHRISTMAS-TIME`) - RETURN COUNT{ (n)--() } AS totalEdgeCount - :result:2 -2024-10-29 15:11:27,940 - lightrag - INFO - _find_node_degree:query: - MATCH (n:`THE BED`) - RETURN COUNT{ (n)--() } AS totalEdgeCount - :result:1 -2024-10-29 15:11:28,111 - lightrag - INFO - _find_node_degree:query: - MATCH (n:`SHADOW OF HIMSELF`) - RETURN COUNT{ (n)--() } AS totalEdgeCount - :result:1 -2024-10-29 15:11:28,283 - lightrag - INFO - _find_node_degree:query: - MATCH (n:`KIND WORD`) - RETURN COUNT{ (n)--() } AS totalEdgeCount - :result:0 -2024-10-29 15:11:28,451 - lightrag - INFO - _find_node_degree:query: - MATCH (n:`GAOL`) - RETURN COUNT{ (n)--() } AS totalEdgeCount - :result:1 -2024-10-29 15:11:28,629 - lightrag - INFO - _find_node_degree:query: - MATCH (n:`IGNORANCE`) - RETURN COUNT{ (n)--() } AS totalEdgeCount - :result:3 -2024-10-29 15:11:28,798 - lightrag - INFO - _find_node_degree:query: - MATCH (n:`CHILDREN`) - RETURN COUNT{ (n)--() } AS totalEdgeCount - :result:2 -2024-10-29 15:11:28,982 - lightrag - INFO - _find_node_degree:query: - MATCH (n:`THE ROOM BY DAYLIGHT`) - RETURN COUNT{ (n)--() } AS totalEdgeCount - :result:0 -2024-10-29 15:11:29,152 - lightrag - INFO - _find_node_degree:query: - MATCH (n:`THE BOTTLE`) - RETURN COUNT{ (n)--() } AS totalEdgeCount - :result:0 -2024-10-29 15:11:29,323 - lightrag - INFO - _find_node_degree:query: - MATCH (n:`THE FLANNEL BAG`) - RETURN COUNT{ (n)--() } AS totalEdgeCount - :result:0 -2024-10-29 15:11:29,487 - lightrag - INFO - _find_node_degree:query: - MATCH (n:`THE YOUNG GIRL`) - RETURN COUNT{ (n)--() } AS totalEdgeCount - :result:1 -2024-10-29 15:11:29,652 - lightrag - INFO - _find_node_degree:query: - MATCH (n:`A CHRISTMAS CAROL`) - RETURN COUNT{ (n)--() } AS totalEdgeCount - :result:3 -2024-10-29 15:11:29,825 - lightrag - INFO - _find_node_degree:query: - MATCH (n:`THE CITY`) - RETURN COUNT{ (n)--() } AS totalEdgeCount - :result:3 -2024-10-29 15:11:29,994 - lightrag - INFO - _find_node_degree:query: - MATCH (n:`GHOST`) - RETURN COUNT{ (n)--() } AS totalEdgeCount - :result:3 -2024-10-29 15:11:30,164 - lightrag - INFO - _find_node_degree:query: - MATCH (n:`MERCILESS CREDITOR`) - RETURN COUNT{ (n)--() } AS totalEdgeCount - :result:0 -2024-10-29 15:11:30,367 - lightrag - INFO - _find_node_degree:query: - MATCH (n:`THE SPIRITS`) - RETURN COUNT{ (n)--() } AS totalEdgeCount - :result:1 -2024-10-29 15:11:30,542 - lightrag - INFO - _find_node_degree:query: - MATCH (n:`THE MOTHER`) - RETURN COUNT{ (n)--() } AS totalEdgeCount - :result:2 -2024-10-29 15:11:30,711 - lightrag - INFO - _find_node_degree:query: - MATCH (n:`LIGHT`) - RETURN COUNT{ (n)--() } AS totalEdgeCount - :result:1 -2024-10-29 15:11:30,886 - lightrag - INFO - _find_node_degree:query: - MATCH (n:`TWO YOUNG CRATCHITS`) - RETURN COUNT{ (n)--() } AS totalEdgeCount - :result:0 -2024-10-29 15:11:31,136 - lightrag - INFO - _find_node_degree:query: - MATCH (n:`JOE`) - RETURN COUNT{ (n)--() } AS totalEdgeCount - :result:2 -2024-10-29 15:13:42,341 - lightrag - INFO - Logger initialized for working directory: ./neo4jWorkDir -2024-10-29 15:13:42,341 - lightrag - DEBUG - LightRAG init with param: - working_dir = ./neo4jWorkDir, - chunk_token_size = 1200, - chunk_overlap_token_size = 100, - tiktoken_model_name = gpt-4o-mini, - entity_extract_max_gleaning = 1, - entity_summary_to_max_tokens = 500, - node_embedding_algorithm = node2vec, - node2vec_params = {'dimensions': 1536, 'num_walks': 10, 'walk_length': 40, 'window_size': 2, 'iterations': 3, 'random_seed': 3}, - embedding_func = {'embedding_dim': 1536, 'max_token_size': 8192, 'func': }, - embedding_batch_num = 32, - embedding_func_max_async = 16, - llm_model_func = , - llm_model_name = meta-llama/Llama-3.2-1B-Instruct, - llm_model_max_token_size = 32768, - llm_model_max_async = 16, - key_string_value_json_storage_cls = , - vector_db_storage_cls = , - vector_db_storage_cls_kwargs = {}, - graph_storage_cls = , - enable_llm_cache = True, - addon_params = {}, - convert_response_to_json_func = - -2024-10-29 15:13:42,342 - lightrag - INFO - Load KV full_docs with 1 data -2024-10-29 15:13:42,343 - lightrag - INFO - Load KV text_chunks with 42 data -2024-10-29 15:13:42,343 - lightrag - INFO - Load KV llm_response_cache with 88 data -2024-10-29 15:13:42,364 - lightrag - INFO - Creating a new event loop in a sub-thread. -2024-10-29 15:13:42,364 - lightrag - WARNING - All docs are already in the storage -2024-10-29 15:13:42,393 - lightrag - INFO - Creating a new event loop in a sub-thread. -2024-10-29 15:13:42,891 - lightrag - INFO - Truncate 39 to 3 chunks -2024-10-29 15:13:42,914 - lightrag - INFO - Creating a new event loop in a sub-thread. -2024-10-29 15:13:44,020 - lightrag - INFO - get_node:query:MATCH (n:`EMOTION`) RETURN n:result: -2024-10-29 15:13:44,110 - lightrag - INFO - get_node:query:MATCH (n:`DARKNESS`) RETURN n:result: -2024-10-29 15:13:44,199 - lightrag - INFO - get_node:query:MATCH (n:`THE PHANTOM`) RETURN n:result: -2024-10-29 15:13:44,292 - lightrag - INFO - get_node:query:MATCH (n:`THE COSMIC SIGNIFICANCE`) RETURN n:result: -2024-10-29 15:13:44,380 - lightrag - INFO - get_node:query:MATCH (n:`CHRISTMAS HOLIDAYS`) RETURN n:result: -2024-10-29 15:13:44,472 - lightrag - INFO - get_node:query:MATCH (n:`PONDEROUS CHAIN`) RETURN n:result: -2024-10-29 15:13:44,562 - lightrag - INFO - get_node:query:MATCH (n:`HUMANITY`) RETURN n:result: -2024-10-29 15:13:44,652 - lightrag - INFO - get_node:query:MATCH (n:`CHRISTMAS`) RETURN n:result:"Christmas is a festive occasion that has led to a joyful transformation in Scrooge\'s character and actions.""Christmas is a festive time celebrated by the Cratchit family, symbolizing joy, family togetherness, and generosity.""Christmas is a significant holiday that serves as the backdrop for Scrooge\'s transformation and the events that unfold during the narrative.""Christmas is a significant holiday that triggers Scrooge\'s memories and reflections on joy, loneliness, and his past.""Christmas is central to the text, symbolizing generosity, charity, and warmth that Scrooge rejects.""Christmas is depicted as a festive season when charity and social duty are emphasized, contrasting with Scrooge\'s values.""Christmas is depicted as a time associated with joy and abundance, contrasting with Scrooge\'s initial views.""Christmas is depicted as a time of joy and communal spirit, marked by people\'s activities and interactions in the streets.""Christmas is depicted as a time of joy and generosity, contrasting sharply with Scrooge\'s past behavior and current solitude.""Christmas is portrayed as a festive time that Scrooge dismisses, emphasizing the contrast between joy and his miserable attitude.""Christmas is portrayed as a time of joy, reflection, and connection, emphasizing the positive impact of the holiday spirit on individuals and communities.""Christmas is presented as a time for merriment and social gatherings, which Scrooge\'s nephew advocates for despite his uncle\'s opposition.""Christmas is the central holiday during which the events unfold, leading to significant character transformations and themes of generosity.""Christmas is the season during which festive activities and celebrations are occurring, including dances and gatherings.""Christmas represents a time of reflection and change for Scrooge, emphasizing themes of redemption.""Christmas serves as a thematic backdrop for the story, symbolizing redemption, generosity, and the spirit of giving."', 'source_id': 'chunk-91614df5cb74cbe5e109a338a82041e9chunk-503f0bfa5453467c7c61d160a3540ecachunk-773d0df1dd25c356f7b771d780583e09chunk-8f738cb25d60a7dab782162d9d0a25edchunk-e7637ff18c5ded77a68cce0a87883fadchunk-8590d9263cd2cd4fa583c432fc54e6c3chunk-54bdd22db1f84a965b5f4c06c9216d8dchunk-02baee20cc9463dbe08170a8e1043e32chunk-90d5764e301321c087f5a8f78b73a145chunk-91572b3cd42786ba4cb2f180ca25cbf4chunk-1d4b58de5429cd1261370c231c8673e8chunk-da2472b4ef2a535b62908f14d0fb0ca9chunk-94bea83e7153fc2064aa382b494936a1chunk-89777b838d5447c7bd1ec11282c4ee89chunk-99b0ec7f7e006561352b5d65e849611dchunk-74e2466de2f67fd710ef2f20c0a8d9e0chunk-5dac41b3f9eeaf794f0147400b1718cd'}> -2024-10-29 15:13:44,739 - lightrag - INFO - get_node:query:MATCH (n:`DEATH`) RETURN n:result:"Death is described as a powerful force in the narrative, represented through the imagery of a cold, rigid presence and the contemplation of mortality.""Death refers to the passing of a character that triggers a range of emotions and reflections among the living, influencing their lives and relationships."', 'source_id': 'chunk-e1f29eeadc1d8ab46dc8a0bbd3c56b64chunk-83ac129dc9b56f84c46760d153d68e93chunk-02baee20cc9463dbe08170a8e1043e32'}> -2024-10-29 15:13:44,824 - lightrag - INFO - get_node:query:MATCH (n:`SCROOGE`) RETURN n:result:chunk-b2f98bc7abb0c67d4c86055c7fd72218chunk-91614df5cb74cbe5e109a338a82041e9chunk-8f738cb25d60a7dab782162d9d0a25edchunk-e7637ff18c5ded77a68cce0a87883fadchunk-d9aac3484185ac66045df92214d245d5chunk-90b95db5c53e4364a6bee36b7aa4d70fchunk-89777b838d5447c7bd1ec11282c4ee89chunk-c6c248858d1b13ab7ee9ca13c1aeed6bchunk-5dac41b3f9eeaf794f0147400b1718cdchunk-773d0df1dd25c356f7b771d780583e09chunk-843b5b2f944c7413d9ca876e2e2f151fchunk-f1a4fbcf1ed86864b9bfd5e8dba4c683chunk-359187e7571bda4b0b08b2e0b6581e52chunk-503f0bfa5453467c7c61d160a3540ecachunk-9c43dac2fcd5b578242d907ea6f8fc7bchunk-b0f459f5af1c3a5e0b92cbe4ee48b77bchunk-1aa50206d02ed89418f65f97c6441d1cchunk-54bdd22db1f84a965b5f4c06c9216d8dchunk-cb661c37436355ccec2769b1d0350c5fchunk-90d5764e301321c087f5a8f78b73a145chunk-91572b3cd42786ba4cb2f180ca25cbf4chunk-da2472b4ef2a535b62908f14d0fb0ca9chunk-99b0ec7f7e006561352b5d65e849611dchunk-43c9bee23adfa77aa9dedd22401bba7dchunk-83ac129dc9b56f84c46760d153d68e93chunk-e1f29eeadc1d8ab46dc8a0bbd3c56b64chunk-8590d9263cd2cd4fa583c432fc54e6c3chunk-02baee20cc9463dbe08170a8e1043e32chunk-94bea83e7153fc2064aa382b494936a1chunk-74e2466de2f67fd710ef2f20c0a8d9e0chunk-19d72c57ae3408758b18d2568e86dc6b'}> -2024-10-29 15:13:44,913 - lightrag - INFO - get_node:query:MATCH (n:`RUSTY KEYS, NAILS, CHAINS, HINGES`) RETURN n:result: -2024-10-29 15:13:45,003 - lightrag - INFO - get_node:query:MATCH (n:`THE PENANCE`) RETURN n:result: -2024-10-29 15:13:45,090 - lightrag - INFO - get_node:query:MATCH (n:`MAN`) RETURN n:result: -2024-10-29 15:13:45,177 - lightrag - INFO - get_node:query:MATCH (n:`THE SCHOOLMASTER`) RETURN n:result: -2024-10-29 15:13:45,263 - lightrag - INFO - get_node:query:MATCH (n:`THE GRAVE`) RETURN n:result: -2024-10-29 15:13:45,354 - lightrag - INFO - get_node:query:MATCH (n:`KEYHOLE`) RETURN n:result: -2024-10-29 15:13:45,444 - lightrag - INFO - get_node:query:MATCH (n:`SCHOOL`) RETURN n:result: -2024-10-29 15:13:45,535 - lightrag - INFO - get_node:query:MATCH (n:`THE CHAIN`) RETURN n:result:"The Chain symbolizes the burdens of the past that haunt the spirits, showcasing the consequences of one\'s actions in life."', 'source_id': 'chunk-359187e7571bda4b0b08b2e0b6581e52chunk-cb661c37436355ccec2769b1d0350c5f'}> -2024-10-29 15:13:45,624 - lightrag - INFO - get_node:query:MATCH (n:`THE THREE SPIRITS`) RETURN n:result: -2024-10-29 15:13:45,713 - lightrag - INFO - get_node:query:MATCH (n:`THE COLD`) RETURN n:result: -2024-10-29 15:13:45,814 - lightrag - INFO - get_node:query:MATCH (n:`DEEDS`) RETURN n:result: -2024-10-29 15:13:45,913 - lightrag - INFO - get_node:query:MATCH (n:`THE BLESSED STAR`) RETURN n:result: -2024-10-29 15:13:46,020 - lightrag - INFO - get_node:query:MATCH (n:`THE CANDLE`) RETURN n:result: -2024-10-29 15:13:46,107 - lightrag - INFO - get_node:query:MATCH (n:`FROST`) RETURN n:result: -2024-10-29 15:13:46,192 - lightrag - INFO - get_node:query:MATCH (n:`THE TRANSPARENT WINDOW`) RETURN n:result: -2024-10-29 15:13:46,290 - lightrag - INFO - get_node:query:MATCH (n:`THE CANDLE-LIGHT`) RETURN n:result: -2024-10-29 15:13:46,379 - lightrag - INFO - get_node:query:MATCH (n:`POVERTY`) RETURN n:result: -2024-10-29 15:13:46,474 - lightrag - INFO - get_node:query:MATCH (n:`SUNDAY CLOTHES BOY`) RETURN n:result: -2024-10-29 15:13:46,562 - lightrag - INFO - get_node:query:MATCH (n:`THE SOLITARY CHILD`) RETURN n:result: -2024-10-29 15:13:46,648 - lightrag - INFO - get_node:query:MATCH (n:`CITY`) RETURN n:result:"The City represents the urban setting where Scrooge witnesses the indifference of its inhabitants regarding his death.""The City represents the urban setting where Scrooge\'s transformation takes place, symbolizing the broader society impacted by his changes."', 'source_id': 'chunk-843b5b2f944c7413d9ca876e2e2f151fchunk-94bea83e7153fc2064aa382b494936a1chunk-02baee20cc9463dbe08170a8e1043e32'}> -2024-10-29 15:13:46,737 - lightrag - INFO - get_node:query:MATCH (n:`FEARFUL PLACE`) RETURN n:result: -2024-10-29 15:13:46,828 - lightrag - INFO - get_node:query:MATCH (n:`IRON CABLE`) RETURN n:result: -2024-10-29 15:13:46,918 - lightrag - INFO - get_node:query:MATCH (n:`SPIRIT`) RETURN n:result:"The Spirit embodies the lessons of compassion and social responsibility, guiding Scrooge through his reflections and realizations.""The Spirit is the manifestation of Scrooge\'s past that guides him through his memories, representing his former self and the influence of time.""The Spirit represents a ghostly entity, guiding Scrooge through visions of potential future events and urging him to acknowledge societal issues.""The Spirit represents a supernatural entity guiding Scrooge through his reflections on life, death, and human emotions, prompting self-awareness.""The Spirit represents the embodiment of the Christmas present, personifying the themes of generosity and merriment."', 'source_id': 'chunk-bb21d58d36c6306fd8810ddd51c4a971chunk-83ac129dc9b56f84c46760d153d68e93chunk-e7637ff18c5ded77a68cce0a87883fadchunk-843b5b2f944c7413d9ca876e2e2f151fchunk-1aa50206d02ed89418f65f97c6441d1cchunk-02baee20cc9463dbe08170a8e1043e32'}> -2024-10-29 15:13:47,007 - lightrag - INFO - get_node:query:MATCH (n:`THE SETTING SUN`) RETURN n:result: -2024-10-29 15:13:47,092 - lightrag - INFO - get_node:query:MATCH (n:`KEYS`) RETURN n:result: -2024-10-29 15:13:47,180 - lightrag - INFO - get_node:query:MATCH (n:`THE CLOTHES AND ITEMS`) RETURN n:result: -2024-10-29 15:13:47,266 - lightrag - INFO - get_node:query:MATCH (n:`AVARICE`) RETURN n:result: -2024-10-29 15:13:47,357 - lightrag - INFO - get_node:query:MATCH (n:`THE FIREPLACE`) RETURN n:result: -2024-10-29 15:13:47,450 - lightrag - INFO - get_node:query:MATCH (n:`WANT`) RETURN n:result: -2024-10-29 15:13:47,541 - lightrag - INFO - get_node:query:MATCH (n:`THE DAUGHTER`) RETURN n:result: -2024-10-29 15:13:47,630 - lightrag - INFO - get_node:query:MATCH (n:`CHRISTMAS-TIME`) RETURN n:result:"Christmas-time represents the festive season, a recurring theme that evokes memories and emotions in Scrooge’s reflections.""Christmas-time serves as a backdrop for the narrative, emphasizing themes of reflection, mortality, and social interactions."', 'source_id': 'chunk-f1a4fbcf1ed86864b9bfd5e8dba4c683chunk-c6c248858d1b13ab7ee9ca13c1aeed6bchunk-5dac41b3f9eeaf794f0147400b1718cd'}> -2024-10-29 15:13:47,719 - lightrag - INFO - get_node:query:MATCH (n:`THE BED`) RETURN n:result: -2024-10-29 15:13:47,810 - lightrag - INFO - get_node:query:MATCH (n:`SHADOW OF HIMSELF`) RETURN n:result: -2024-10-29 15:13:47,902 - lightrag - INFO - get_node:query:MATCH (n:`KIND WORD`) RETURN n:result: -2024-10-29 15:13:47,995 - lightrag - INFO - get_node:query:MATCH (n:`GAOL`) RETURN n:result: -2024-10-29 15:13:48,080 - lightrag - INFO - get_node:query:MATCH (n:`IGNORANCE`) RETURN n:result:"Ignorance is personified as a boy that symbolizes the dangers of ignoring social issues and the consequences of a lack of awareness."', 'source_id': 'chunk-02baee20cc9463dbe08170a8e1043e32chunk-e7637ff18c5ded77a68cce0a87883fad'}> -2024-10-29 15:13:48,167 - lightrag - INFO - get_node:query:MATCH (n:`CHILDREN`) RETURN n:result:"The Children represent the joyful, carefree aspects of Scrooge\'s past, embodying happiness and the innocence of youth that he has long forgotten."', 'source_id': 'chunk-bb21d58d36c6306fd8810ddd51c4a971chunk-e7637ff18c5ded77a68cce0a87883fad'}> -2024-10-29 15:13:48,256 - lightrag - INFO - get_node:query:MATCH (n:`THE ROOM BY DAYLIGHT`) RETURN n:result: -2024-10-29 15:13:48,344 - lightrag - INFO - get_node:query:MATCH (n:`THE BOTTLE`) RETURN n:result: -2024-10-29 15:13:48,436 - lightrag - INFO - get_node:query:MATCH (n:`THE FLANNEL BAG`) RETURN n:result: -2024-10-29 15:13:48,527 - lightrag - INFO - get_node:query:MATCH (n:`THE YOUNG GIRL`) RETURN n:result: -2024-10-29 15:13:48,615 - lightrag - INFO - get_node:query:MATCH (n:`A CHRISTMAS CAROL`) RETURN n:result: -2024-10-29 15:13:48,706 - lightrag - INFO - get_node:query:MATCH (n:`THE CITY`) RETURN n:result:"The City represents the bustling urban environment where Scrooge reflects on his past, filled with activity and shadowy figures.""The City, from which Scrooge is transported, represents his past life and is contrasted with the open country road that signifies his memories."', 'source_id': 'chunk-bb21d58d36c6306fd8810ddd51c4a971chunk-c6c248858d1b13ab7ee9ca13c1aeed6bchunk-74e2466de2f67fd710ef2f20c0a8d9e0'}> -2024-10-29 15:13:48,798 - lightrag - INFO - get_node:query:MATCH (n:`GHOST`) RETURN n:result:"The Ghost refers to the spirit guiding Scrooge, embodying the themes of memory and reflection on the joys of Christmas.""The Ghost represents a spiritual guide that takes Scrooge on a journey to learn important lessons about compassion and humanity.""The Ghost serves as a supernatural guide for Scrooge, prompting him to reflect on his life and choices."', 'source_id': 'chunk-503f0bfa5453467c7c61d160a3540ecachunk-c6c248858d1b13ab7ee9ca13c1aeed6bchunk-e7637ff18c5ded77a68cce0a87883fadchunk-43c9bee23adfa77aa9dedd22401bba7d'}> -2024-10-29 15:13:48,888 - lightrag - INFO - get_node:query:MATCH (n:`MERCILESS CREDITOR`) RETURN n:result: -2024-10-29 15:13:48,975 - lightrag - INFO - get_node:query:MATCH (n:`THE SPIRITS`) RETURN n:result:"The Spirits represent the past, present, and future in Scrooge\'s life, guiding him toward redemption and self-reflection."', 'source_id': 'chunk-90b95db5c53e4364a6bee36b7aa4d70fchunk-cb661c37436355ccec2769b1d0350c5f'}> -2024-10-29 15:13:49,065 - lightrag - INFO - get_node:query:MATCH (n:`THE MOTHER`) RETURN n:result:"The Mother is a character associated with the family dynamics during the Christmas scene, though her actions are not explicitly detailed.""The Mother is depicted as a comely matron, who enjoys the laughter and chaos with her children, showing warmth and family value."', 'source_id': 'chunk-da2472b4ef2a535b62908f14d0fb0ca9chunk-83ac129dc9b56f84c46760d153d68e93chunk-54bdd22db1f84a965b5f4c06c9216d8d'}> -2024-10-29 15:13:49,153 - lightrag - INFO - get_node:query:MATCH (n:`LIGHT`) RETURN n:result: -2024-10-29 15:13:49,272 - lightrag - INFO - get_node:query:MATCH (n:`TWO YOUNG CRATCHITS`) RETURN n:result: -2024-10-29 15:13:49,358 - lightrag - INFO - get_node:query:MATCH (n:`JOE`) RETURN n:result:"Joe is a marine-store dealer depicted as receiving stolen goods, illustrating the consequences of crime and the darker sides of society.""Joe is portrayed as a character engaged in a conversation about the deceased, displaying a mix of humor and practicality in dealing with the possessions of the dead."', 'source_id': 'chunk-89777b838d5447c7bd1ec11282c4ee89chunk-9e3921da66da5d761ab73cd849af6c43chunk-e1f29eeadc1d8ab46dc8a0bbd3c56b64'}> -2024-10-29 15:13:49,498 - lightrag - INFO - _find_node_degree:query: - MATCH (n:`EMOTION`) - RETURN COUNT{ (n)--() } AS totalEdgeCount - :result:0 -2024-10-29 15:13:49,672 - lightrag - INFO - _find_node_degree:query: - MATCH (n:`DARKNESS`) - RETURN COUNT{ (n)--() } AS totalEdgeCount - :result:1 -2024-10-29 15:13:49,842 - lightrag - INFO - _find_node_degree:query: - MATCH (n:`THE PHANTOM`) - RETURN COUNT{ (n)--() } AS totalEdgeCount - :result:2 -2024-10-29 15:13:50,017 - lightrag - INFO - _find_node_degree:query: - MATCH (n:`THE COSMIC SIGNIFICANCE`) - RETURN COUNT{ (n)--() } AS totalEdgeCount - :result:0 -2024-10-29 15:13:50,186 - lightrag - INFO - _find_node_degree:query: - MATCH (n:`CHRISTMAS HOLIDAYS`) - RETURN COUNT{ (n)--() } AS totalEdgeCount - :result:0 -2024-10-29 15:13:50,389 - lightrag - INFO - _find_node_degree:query: - MATCH (n:`PONDEROUS CHAIN`) - RETURN COUNT{ (n)--() } AS totalEdgeCount - :result:0 -2024-10-29 15:13:50,565 - lightrag - INFO - _find_node_degree:query: - MATCH (n:`HUMANITY`) - RETURN COUNT{ (n)--() } AS totalEdgeCount - :result:1 -2024-10-29 15:13:50,735 - lightrag - INFO - _find_node_degree:query: - MATCH (n:`CHRISTMAS`) - RETURN COUNT{ (n)--() } AS totalEdgeCount - :result:18 -2024-10-29 15:13:50,905 - lightrag - INFO - _find_node_degree:query: - MATCH (n:`DEATH`) - RETURN COUNT{ (n)--() } AS totalEdgeCount - :result:3 -2024-10-29 15:13:51,084 - lightrag - INFO - _find_node_degree:query: - MATCH (n:`SCROOGE`) - RETURN COUNT{ (n)--() } AS totalEdgeCount - :result:100 -2024-10-29 15:13:51,258 - lightrag - INFO - _find_node_degree:query: - MATCH (n:`RUSTY KEYS, NAILS, CHAINS, HINGES`) - RETURN COUNT{ (n)--() } AS totalEdgeCount - :result:1 -2024-10-29 15:13:51,429 - lightrag - INFO - _find_node_degree:query: - MATCH (n:`THE PENANCE`) - RETURN COUNT{ (n)--() } AS totalEdgeCount - :result:0 -2024-10-29 15:13:51,604 - lightrag - INFO - _find_node_degree:query: - MATCH (n:`MAN`) - RETURN COUNT{ (n)--() } AS totalEdgeCount - :result:1 -2024-10-29 15:13:51,784 - lightrag - INFO - _find_node_degree:query: - MATCH (n:`THE SCHOOLMASTER`) - RETURN COUNT{ (n)--() } AS totalEdgeCount - :result:1 -2024-10-29 15:13:51,963 - lightrag - INFO - _find_node_degree:query: - MATCH (n:`THE GRAVE`) - RETURN COUNT{ (n)--() } AS totalEdgeCount - :result:1 -2024-10-29 15:13:52,135 - lightrag - INFO - _find_node_degree:query: - MATCH (n:`KEYHOLE`) - RETURN COUNT{ (n)--() } AS totalEdgeCount - :result:0 -2024-10-29 15:13:52,305 - lightrag - INFO - _find_node_degree:query: - MATCH (n:`SCHOOL`) - RETURN COUNT{ (n)--() } AS totalEdgeCount - :result:2 -2024-10-29 15:13:52,476 - lightrag - INFO - _find_node_degree:query: - MATCH (n:`THE CHAIN`) - RETURN COUNT{ (n)--() } AS totalEdgeCount - :result:0 -2024-10-29 15:13:52,650 - lightrag - INFO - _find_node_degree:query: - MATCH (n:`THE THREE SPIRITS`) - RETURN COUNT{ (n)--() } AS totalEdgeCount - :result:1 -2024-10-29 15:13:52,822 - lightrag - INFO - _find_node_degree:query: - MATCH (n:`THE COLD`) - RETURN COUNT{ (n)--() } AS totalEdgeCount - :result:1 -2024-10-29 15:13:52,998 - lightrag - INFO - _find_node_degree:query: - MATCH (n:`DEEDS`) - RETURN COUNT{ (n)--() } AS totalEdgeCount - :result:0 -2024-10-29 15:13:53,170 - lightrag - INFO - _find_node_degree:query: - MATCH (n:`THE BLESSED STAR`) - RETURN COUNT{ (n)--() } AS totalEdgeCount - :result:0 -2024-10-29 15:13:53,341 - lightrag - INFO - _find_node_degree:query: - MATCH (n:`THE CANDLE`) - RETURN COUNT{ (n)--() } AS totalEdgeCount - :result:1 -2024-10-29 15:13:53,514 - lightrag - INFO - _find_node_degree:query: - MATCH (n:`FROST`) - RETURN COUNT{ (n)--() } AS totalEdgeCount - :result:1 -2024-10-29 15:13:53,691 - lightrag - INFO - _find_node_degree:query: - MATCH (n:`THE TRANSPARENT WINDOW`) - RETURN COUNT{ (n)--() } AS totalEdgeCount - :result:0 -2024-10-29 15:13:53,865 - lightrag - INFO - _find_node_degree:query: - MATCH (n:`THE CANDLE-LIGHT`) - RETURN COUNT{ (n)--() } AS totalEdgeCount - :result:0 -2024-10-29 15:13:54,037 - lightrag - INFO - _find_node_degree:query: - MATCH (n:`POVERTY`) - RETURN COUNT{ (n)--() } AS totalEdgeCount - :result:1 -2024-10-29 15:13:54,212 - lightrag - INFO - _find_node_degree:query: - MATCH (n:`SUNDAY CLOTHES BOY`) - RETURN COUNT{ (n)--() } AS totalEdgeCount - :result:1 -2024-10-29 15:13:54,378 - lightrag - INFO - _find_node_degree:query: - MATCH (n:`THE SOLITARY CHILD`) - RETURN COUNT{ (n)--() } AS totalEdgeCount - :result:0 -2024-10-29 15:13:54,555 - lightrag - INFO - _find_node_degree:query: - MATCH (n:`CITY`) - RETURN COUNT{ (n)--() } AS totalEdgeCount - :result:1 -2024-10-29 15:13:54,731 - lightrag - INFO - _find_node_degree:query: - MATCH (n:`FEARFUL PLACE`) - RETURN COUNT{ (n)--() } AS totalEdgeCount - :result:0 -2024-10-29 15:13:54,902 - lightrag - INFO - _find_node_degree:query: - MATCH (n:`IRON CABLE`) - RETURN COUNT{ (n)--() } AS totalEdgeCount - :result:0 -2024-10-29 15:13:55,072 - lightrag - INFO - _find_node_degree:query: - MATCH (n:`SPIRIT`) - RETURN COUNT{ (n)--() } AS totalEdgeCount - :result:9 -2024-10-29 15:13:55,247 - lightrag - INFO - _find_node_degree:query: - MATCH (n:`THE SETTING SUN`) - RETURN COUNT{ (n)--() } AS totalEdgeCount - :result:1 -2024-10-29 15:13:55,417 - lightrag - INFO - _find_node_degree:query: - MATCH (n:`KEYS`) - RETURN COUNT{ (n)--() } AS totalEdgeCount - :result:0 -2024-10-29 15:13:55,586 - lightrag - INFO - _find_node_degree:query: - MATCH (n:`THE CLOTHES AND ITEMS`) - RETURN COUNT{ (n)--() } AS totalEdgeCount - :result:0 -2024-10-29 15:13:55,761 - lightrag - INFO - _find_node_degree:query: - MATCH (n:`AVARICE`) - RETURN COUNT{ (n)--() } AS totalEdgeCount - :result:0 -2024-10-29 15:13:55,932 - lightrag - INFO - _find_node_degree:query: - MATCH (n:`THE FIREPLACE`) - RETURN COUNT{ (n)--() } AS totalEdgeCount - :result:0 -2024-10-29 15:13:56,104 - lightrag - INFO - _find_node_degree:query: - MATCH (n:`WANT`) - RETURN COUNT{ (n)--() } AS totalEdgeCount - :result:1 -2024-10-29 15:13:56,274 - lightrag - INFO - _find_node_degree:query: - MATCH (n:`THE DAUGHTER`) - RETURN COUNT{ (n)--() } AS totalEdgeCount - :result:1 -2024-10-29 15:13:56,448 - lightrag - INFO - _find_node_degree:query: - MATCH (n:`CHRISTMAS-TIME`) - RETURN COUNT{ (n)--() } AS totalEdgeCount - :result:2 -2024-10-29 15:13:56,617 - lightrag - INFO - _find_node_degree:query: - MATCH (n:`THE BED`) - RETURN COUNT{ (n)--() } AS totalEdgeCount - :result:1 -2024-10-29 15:13:56,795 - lightrag - INFO - _find_node_degree:query: - MATCH (n:`SHADOW OF HIMSELF`) - RETURN COUNT{ (n)--() } AS totalEdgeCount - :result:1 -2024-10-29 15:13:56,966 - lightrag - INFO - _find_node_degree:query: - MATCH (n:`KIND WORD`) - RETURN COUNT{ (n)--() } AS totalEdgeCount - :result:0 -2024-10-29 15:13:57,141 - lightrag - INFO - _find_node_degree:query: - MATCH (n:`GAOL`) - RETURN COUNT{ (n)--() } AS totalEdgeCount - :result:1 -2024-10-29 15:13:57,314 - lightrag - INFO - _find_node_degree:query: - MATCH (n:`IGNORANCE`) - RETURN COUNT{ (n)--() } AS totalEdgeCount - :result:3 -2024-10-29 15:13:57,494 - lightrag - INFO - _find_node_degree:query: - MATCH (n:`CHILDREN`) - RETURN COUNT{ (n)--() } AS totalEdgeCount - :result:2 -2024-10-29 15:13:57,670 - lightrag - INFO - _find_node_degree:query: - MATCH (n:`THE ROOM BY DAYLIGHT`) - RETURN COUNT{ (n)--() } AS totalEdgeCount - :result:0 -2024-10-29 15:13:57,844 - lightrag - INFO - _find_node_degree:query: - MATCH (n:`THE BOTTLE`) - RETURN COUNT{ (n)--() } AS totalEdgeCount - :result:0 -2024-10-29 15:13:58,021 - lightrag - INFO - _find_node_degree:query: - MATCH (n:`THE FLANNEL BAG`) - RETURN COUNT{ (n)--() } AS totalEdgeCount - :result:0 -2024-10-29 15:13:58,197 - lightrag - INFO - _find_node_degree:query: - MATCH (n:`THE YOUNG GIRL`) - RETURN COUNT{ (n)--() } AS totalEdgeCount - :result:1 -2024-10-29 15:13:58,367 - lightrag - INFO - _find_node_degree:query: - MATCH (n:`A CHRISTMAS CAROL`) - RETURN COUNT{ (n)--() } AS totalEdgeCount - :result:3 -2024-10-29 15:13:58,536 - lightrag - INFO - _find_node_degree:query: - MATCH (n:`THE CITY`) - RETURN COUNT{ (n)--() } AS totalEdgeCount - :result:3 -2024-10-29 15:13:58,706 - lightrag - INFO - _find_node_degree:query: - MATCH (n:`GHOST`) - RETURN COUNT{ (n)--() } AS totalEdgeCount - :result:3 -2024-10-29 15:13:58,880 - lightrag - INFO - _find_node_degree:query: - MATCH (n:`MERCILESS CREDITOR`) - RETURN COUNT{ (n)--() } AS totalEdgeCount - :result:0 -2024-10-29 15:13:59,052 - lightrag - INFO - _find_node_degree:query: - MATCH (n:`THE SPIRITS`) - RETURN COUNT{ (n)--() } AS totalEdgeCount - :result:1 -2024-10-29 15:13:59,222 - lightrag - INFO - _find_node_degree:query: - MATCH (n:`THE MOTHER`) - RETURN COUNT{ (n)--() } AS totalEdgeCount - :result:2 -2024-10-29 15:13:59,393 - lightrag - INFO - _find_node_degree:query: - MATCH (n:`LIGHT`) - RETURN COUNT{ (n)--() } AS totalEdgeCount - :result:1 -2024-10-29 15:13:59,574 - lightrag - INFO - _find_node_degree:query: - MATCH (n:`TWO YOUNG CRATCHITS`) - RETURN COUNT{ (n)--() } AS totalEdgeCount - :result:0 -2024-10-29 15:13:59,744 - lightrag - INFO - _find_node_degree:query: - MATCH (n:`JOE`) - RETURN COUNT{ (n)--() } AS totalEdgeCount - :result:2 -2024-10-29 15:15:04,929 - lightrag - INFO - Logger initialized for working directory: ./neo4jWorkDir -2024-10-29 15:15:04,929 - lightrag - DEBUG - LightRAG init with param: +2024-10-30 05:39:22,755 - lightrag - INFO - Logger initialized for working directory: ./neo4jWorkDir +2024-10-30 05:39:22,755 - lightrag - DEBUG - LightRAG init with param: working_dir = ./neo4jWorkDir, chunk_token_size = 1200, chunk_overlap_token_size = 100, @@ -7450,331 +4587,7101 @@ entity_summary_to_max_tokens = 500, node_embedding_algorithm = node2vec, node2vec_params = {'dimensions': 1536, 'num_walks': 10, 'walk_length': 40, 'window_size': 2, 'iterations': 3, 'random_seed': 3}, - embedding_func = {'embedding_dim': 1536, 'max_token_size': 8192, 'func': }, + embedding_func = {'embedding_dim': 1536, 'max_token_size': 8192, 'func': }, embedding_batch_num = 32, - embedding_func_max_async = 16, - llm_model_func = , - llm_model_name = meta-llama/Llama-3.2-1B-Instruct, - llm_model_max_token_size = 32768, - llm_model_max_async = 16, - key_string_value_json_storage_cls = , - vector_db_storage_cls = , - vector_db_storage_cls_kwargs = {}, - graph_storage_cls = , - enable_llm_cache = True, - addon_params = {}, - convert_response_to_json_func = - -2024-10-29 15:15:04,930 - lightrag - INFO - Load KV full_docs with 1 data -2024-10-29 15:15:04,931 - lightrag - INFO - Load KV text_chunks with 42 data -2024-10-29 15:15:04,932 - lightrag - INFO - Load KV llm_response_cache with 88 data -2024-10-29 15:15:04,956 - lightrag - INFO - Creating a new event loop in a sub-thread. -2024-10-29 15:15:04,957 - lightrag - WARNING - All docs are already in the storage -2024-10-29 15:15:04,981 - lightrag - INFO - Creating a new event loop in a sub-thread. -2024-10-29 15:15:05,564 - lightrag - INFO - Truncate 39 to 3 chunks -2024-10-29 15:15:05,569 - lightrag - INFO - Creating a new event loop in a sub-thread. -2024-10-29 15:15:06,515 - lightrag - INFO - get_node:query:MATCH (n:`EMOTION`) RETURN n:result: -2024-10-29 15:15:06,605 - lightrag - INFO - get_node:query:MATCH (n:`DARKNESS`) RETURN n:result: -2024-10-29 15:15:06,697 - lightrag - INFO - get_node:query:MATCH (n:`THE PHANTOM`) RETURN n:result: -2024-10-29 15:15:06,791 - lightrag - INFO - get_node:query:MATCH (n:`THE COSMIC SIGNIFICANCE`) RETURN n:result: -2024-10-29 15:15:06,881 - lightrag - INFO - get_node:query:MATCH (n:`CHRISTMAS HOLIDAYS`) RETURN n:result: -2024-10-29 15:15:06,972 - lightrag - INFO - get_node:query:MATCH (n:`PONDEROUS CHAIN`) RETURN n:result: -2024-10-29 15:15:07,063 - lightrag - INFO - get_node:query:MATCH (n:`HUMANITY`) RETURN n:result: -2024-10-29 15:15:07,150 - lightrag - INFO - get_node:query:MATCH (n:`CHRISTMAS`) RETURN n:result:"Christmas is a festive occasion that has led to a joyful transformation in Scrooge\'s character and actions.""Christmas is a festive time celebrated by the Cratchit family, symbolizing joy, family togetherness, and generosity.""Christmas is a significant holiday that serves as the backdrop for Scrooge\'s transformation and the events that unfold during the narrative.""Christmas is a significant holiday that triggers Scrooge\'s memories and reflections on joy, loneliness, and his past.""Christmas is central to the text, symbolizing generosity, charity, and warmth that Scrooge rejects.""Christmas is depicted as a festive season when charity and social duty are emphasized, contrasting with Scrooge\'s values.""Christmas is depicted as a time associated with joy and abundance, contrasting with Scrooge\'s initial views.""Christmas is depicted as a time of joy and communal spirit, marked by people\'s activities and interactions in the streets.""Christmas is depicted as a time of joy and generosity, contrasting sharply with Scrooge\'s past behavior and current solitude.""Christmas is portrayed as a festive time that Scrooge dismisses, emphasizing the contrast between joy and his miserable attitude.""Christmas is portrayed as a time of joy, reflection, and connection, emphasizing the positive impact of the holiday spirit on individuals and communities.""Christmas is presented as a time for merriment and social gatherings, which Scrooge\'s nephew advocates for despite his uncle\'s opposition.""Christmas is the central holiday during which the events unfold, leading to significant character transformations and themes of generosity.""Christmas is the season during which festive activities and celebrations are occurring, including dances and gatherings.""Christmas represents a time of reflection and change for Scrooge, emphasizing themes of redemption.""Christmas serves as a thematic backdrop for the story, symbolizing redemption, generosity, and the spirit of giving."', 'source_id': 'chunk-91614df5cb74cbe5e109a338a82041e9chunk-503f0bfa5453467c7c61d160a3540ecachunk-773d0df1dd25c356f7b771d780583e09chunk-8f738cb25d60a7dab782162d9d0a25edchunk-e7637ff18c5ded77a68cce0a87883fadchunk-8590d9263cd2cd4fa583c432fc54e6c3chunk-54bdd22db1f84a965b5f4c06c9216d8dchunk-02baee20cc9463dbe08170a8e1043e32chunk-90d5764e301321c087f5a8f78b73a145chunk-91572b3cd42786ba4cb2f180ca25cbf4chunk-1d4b58de5429cd1261370c231c8673e8chunk-da2472b4ef2a535b62908f14d0fb0ca9chunk-94bea83e7153fc2064aa382b494936a1chunk-89777b838d5447c7bd1ec11282c4ee89chunk-99b0ec7f7e006561352b5d65e849611dchunk-74e2466de2f67fd710ef2f20c0a8d9e0chunk-5dac41b3f9eeaf794f0147400b1718cd'}> -2024-10-29 15:15:07,238 - lightrag - INFO - get_node:query:MATCH (n:`DEATH`) RETURN n:result:"Death is described as a powerful force in the narrative, represented through the imagery of a cold, rigid presence and the contemplation of mortality.""Death refers to the passing of a character that triggers a range of emotions and reflections among the living, influencing their lives and relationships."', 'source_id': 'chunk-e1f29eeadc1d8ab46dc8a0bbd3c56b64chunk-83ac129dc9b56f84c46760d153d68e93chunk-02baee20cc9463dbe08170a8e1043e32'}> -2024-10-29 15:15:07,332 - lightrag - INFO - get_node:query:MATCH (n:`SCROOGE`) RETURN n:result:chunk-b2f98bc7abb0c67d4c86055c7fd72218chunk-91614df5cb74cbe5e109a338a82041e9chunk-8f738cb25d60a7dab782162d9d0a25edchunk-e7637ff18c5ded77a68cce0a87883fadchunk-d9aac3484185ac66045df92214d245d5chunk-90b95db5c53e4364a6bee36b7aa4d70fchunk-89777b838d5447c7bd1ec11282c4ee89chunk-c6c248858d1b13ab7ee9ca13c1aeed6bchunk-5dac41b3f9eeaf794f0147400b1718cdchunk-773d0df1dd25c356f7b771d780583e09chunk-843b5b2f944c7413d9ca876e2e2f151fchunk-f1a4fbcf1ed86864b9bfd5e8dba4c683chunk-359187e7571bda4b0b08b2e0b6581e52chunk-503f0bfa5453467c7c61d160a3540ecachunk-9c43dac2fcd5b578242d907ea6f8fc7bchunk-b0f459f5af1c3a5e0b92cbe4ee48b77bchunk-1aa50206d02ed89418f65f97c6441d1cchunk-54bdd22db1f84a965b5f4c06c9216d8dchunk-cb661c37436355ccec2769b1d0350c5fchunk-90d5764e301321c087f5a8f78b73a145chunk-91572b3cd42786ba4cb2f180ca25cbf4chunk-da2472b4ef2a535b62908f14d0fb0ca9chunk-99b0ec7f7e006561352b5d65e849611dchunk-43c9bee23adfa77aa9dedd22401bba7dchunk-83ac129dc9b56f84c46760d153d68e93chunk-e1f29eeadc1d8ab46dc8a0bbd3c56b64chunk-8590d9263cd2cd4fa583c432fc54e6c3chunk-02baee20cc9463dbe08170a8e1043e32chunk-94bea83e7153fc2064aa382b494936a1chunk-74e2466de2f67fd710ef2f20c0a8d9e0chunk-19d72c57ae3408758b18d2568e86dc6b'}> -2024-10-29 15:15:07,425 - lightrag - INFO - get_node:query:MATCH (n:`RUSTY KEYS, NAILS, CHAINS, HINGES`) RETURN n:result: -2024-10-29 15:15:07,514 - lightrag - INFO - get_node:query:MATCH (n:`THE PENANCE`) RETURN n:result: -2024-10-29 15:15:07,603 - lightrag - INFO - get_node:query:MATCH (n:`MAN`) RETURN n:result: -2024-10-29 15:15:07,690 - lightrag - INFO - get_node:query:MATCH (n:`THE SCHOOLMASTER`) RETURN n:result: -2024-10-29 15:15:07,781 - lightrag - INFO - get_node:query:MATCH (n:`THE GRAVE`) RETURN n:result: -2024-10-29 15:15:07,871 - lightrag - INFO - get_node:query:MATCH (n:`KEYHOLE`) RETURN n:result: -2024-10-29 15:15:07,966 - lightrag - INFO - get_node:query:MATCH (n:`SCHOOL`) RETURN n:result: -2024-10-29 15:15:08,056 - lightrag - INFO - get_node:query:MATCH (n:`THE CHAIN`) RETURN n:result:"The Chain symbolizes the burdens of the past that haunt the spirits, showcasing the consequences of one\'s actions in life."', 'source_id': 'chunk-359187e7571bda4b0b08b2e0b6581e52chunk-cb661c37436355ccec2769b1d0350c5f'}> -2024-10-29 15:15:08,143 - lightrag - INFO - get_node:query:MATCH (n:`THE THREE SPIRITS`) RETURN n:result: -2024-10-29 15:15:08,231 - lightrag - INFO - get_node:query:MATCH (n:`THE COLD`) RETURN n:result: -2024-10-29 15:15:08,319 - lightrag - INFO - get_node:query:MATCH (n:`DEEDS`) RETURN n:result: -2024-10-29 15:15:08,415 - lightrag - INFO - get_node:query:MATCH (n:`THE BLESSED STAR`) RETURN n:result: -2024-10-29 15:15:08,506 - lightrag - INFO - get_node:query:MATCH (n:`THE CANDLE`) RETURN n:result: -2024-10-29 15:15:08,598 - lightrag - INFO - get_node:query:MATCH (n:`FROST`) RETURN n:result: -2024-10-29 15:15:08,686 - lightrag - INFO - get_node:query:MATCH (n:`THE TRANSPARENT WINDOW`) RETURN n:result: -2024-10-29 15:15:08,775 - lightrag - INFO - get_node:query:MATCH (n:`THE CANDLE-LIGHT`) RETURN n:result: -2024-10-29 15:15:08,860 - lightrag - INFO - get_node:query:MATCH (n:`POVERTY`) RETURN n:result: -2024-10-29 15:15:08,949 - lightrag - INFO - get_node:query:MATCH (n:`SUNDAY CLOTHES BOY`) RETURN n:result: -2024-10-29 15:15:09,038 - lightrag - INFO - get_node:query:MATCH (n:`THE SOLITARY CHILD`) RETURN n:result: -2024-10-29 15:15:09,127 - lightrag - INFO - get_node:query:MATCH (n:`CITY`) RETURN n:result:"The City represents the urban setting where Scrooge witnesses the indifference of its inhabitants regarding his death.""The City represents the urban setting where Scrooge\'s transformation takes place, symbolizing the broader society impacted by his changes."', 'source_id': 'chunk-843b5b2f944c7413d9ca876e2e2f151fchunk-94bea83e7153fc2064aa382b494936a1chunk-02baee20cc9463dbe08170a8e1043e32'}> -2024-10-29 15:15:09,218 - lightrag - INFO - get_node:query:MATCH (n:`FEARFUL PLACE`) RETURN n:result: -2024-10-29 15:15:09,308 - lightrag - INFO - get_node:query:MATCH (n:`IRON CABLE`) RETURN n:result: -2024-10-29 15:15:09,397 - lightrag - INFO - get_node:query:MATCH (n:`SPIRIT`) RETURN n:result:"The Spirit embodies the lessons of compassion and social responsibility, guiding Scrooge through his reflections and realizations.""The Spirit is the manifestation of Scrooge\'s past that guides him through his memories, representing his former self and the influence of time.""The Spirit represents a ghostly entity, guiding Scrooge through visions of potential future events and urging him to acknowledge societal issues.""The Spirit represents a supernatural entity guiding Scrooge through his reflections on life, death, and human emotions, prompting self-awareness.""The Spirit represents the embodiment of the Christmas present, personifying the themes of generosity and merriment."', 'source_id': 'chunk-bb21d58d36c6306fd8810ddd51c4a971chunk-83ac129dc9b56f84c46760d153d68e93chunk-e7637ff18c5ded77a68cce0a87883fadchunk-843b5b2f944c7413d9ca876e2e2f151fchunk-1aa50206d02ed89418f65f97c6441d1cchunk-02baee20cc9463dbe08170a8e1043e32'}> -2024-10-29 15:15:09,490 - lightrag - INFO - get_node:query:MATCH (n:`THE SETTING SUN`) RETURN n:result: -2024-10-29 15:15:09,580 - lightrag - INFO - get_node:query:MATCH (n:`KEYS`) RETURN n:result: -2024-10-29 15:15:09,668 - lightrag - INFO - get_node:query:MATCH (n:`THE CLOTHES AND ITEMS`) RETURN n:result: -2024-10-29 15:15:09,759 - lightrag - INFO - get_node:query:MATCH (n:`AVARICE`) RETURN n:result: -2024-10-29 15:15:09,850 - lightrag - INFO - get_node:query:MATCH (n:`THE FIREPLACE`) RETURN n:result: -2024-10-29 15:15:09,945 - lightrag - INFO - get_node:query:MATCH (n:`WANT`) RETURN n:result: -2024-10-29 15:15:10,037 - lightrag - INFO - get_node:query:MATCH (n:`THE DAUGHTER`) RETURN n:result: -2024-10-29 15:15:10,128 - lightrag - INFO - get_node:query:MATCH (n:`CHRISTMAS-TIME`) RETURN n:result:"Christmas-time represents the festive season, a recurring theme that evokes memories and emotions in Scrooge’s reflections.""Christmas-time serves as a backdrop for the narrative, emphasizing themes of reflection, mortality, and social interactions."', 'source_id': 'chunk-f1a4fbcf1ed86864b9bfd5e8dba4c683chunk-c6c248858d1b13ab7ee9ca13c1aeed6bchunk-5dac41b3f9eeaf794f0147400b1718cd'}> -2024-10-29 15:15:10,222 - lightrag - INFO - get_node:query:MATCH (n:`THE BED`) RETURN n:result: -2024-10-29 15:15:10,313 - lightrag - INFO - get_node:query:MATCH (n:`SHADOW OF HIMSELF`) RETURN n:result: -2024-10-29 15:15:10,399 - lightrag - INFO - get_node:query:MATCH (n:`KIND WORD`) RETURN n:result: -2024-10-29 15:15:10,488 - lightrag - INFO - get_node:query:MATCH (n:`GAOL`) RETURN n:result: -2024-10-29 15:15:10,577 - lightrag - INFO - get_node:query:MATCH (n:`IGNORANCE`) RETURN n:result:"Ignorance is personified as a boy that symbolizes the dangers of ignoring social issues and the consequences of a lack of awareness."', 'source_id': 'chunk-02baee20cc9463dbe08170a8e1043e32chunk-e7637ff18c5ded77a68cce0a87883fad'}> -2024-10-29 15:15:10,667 - lightrag - INFO - get_node:query:MATCH (n:`CHILDREN`) RETURN n:result:"The Children represent the joyful, carefree aspects of Scrooge\'s past, embodying happiness and the innocence of youth that he has long forgotten."', 'source_id': 'chunk-bb21d58d36c6306fd8810ddd51c4a971chunk-e7637ff18c5ded77a68cce0a87883fad'}> -2024-10-29 15:15:10,759 - lightrag - INFO - get_node:query:MATCH (n:`THE ROOM BY DAYLIGHT`) RETURN n:result: -2024-10-29 15:15:10,851 - lightrag - INFO - get_node:query:MATCH (n:`THE BOTTLE`) RETURN n:result: -2024-10-29 15:15:10,945 - lightrag - INFO - get_node:query:MATCH (n:`THE FLANNEL BAG`) RETURN n:result: -2024-10-29 15:15:11,038 - lightrag - INFO - get_node:query:MATCH (n:`THE YOUNG GIRL`) RETURN n:result: -2024-10-29 15:15:11,129 - lightrag - INFO - get_node:query:MATCH (n:`A CHRISTMAS CAROL`) RETURN n:result: -2024-10-29 15:15:11,221 - lightrag - INFO - get_node:query:MATCH (n:`THE CITY`) RETURN n:result:"The City represents the bustling urban environment where Scrooge reflects on his past, filled with activity and shadowy figures.""The City, from which Scrooge is transported, represents his past life and is contrasted with the open country road that signifies his memories."', 'source_id': 'chunk-bb21d58d36c6306fd8810ddd51c4a971chunk-c6c248858d1b13ab7ee9ca13c1aeed6bchunk-74e2466de2f67fd710ef2f20c0a8d9e0'}> -2024-10-29 15:15:11,314 - lightrag - INFO - get_node:query:MATCH (n:`GHOST`) RETURN n:result:"The Ghost refers to the spirit guiding Scrooge, embodying the themes of memory and reflection on the joys of Christmas.""The Ghost represents a spiritual guide that takes Scrooge on a journey to learn important lessons about compassion and humanity.""The Ghost serves as a supernatural guide for Scrooge, prompting him to reflect on his life and choices."', 'source_id': 'chunk-503f0bfa5453467c7c61d160a3540ecachunk-c6c248858d1b13ab7ee9ca13c1aeed6bchunk-e7637ff18c5ded77a68cce0a87883fadchunk-43c9bee23adfa77aa9dedd22401bba7d'}> -2024-10-29 15:15:11,409 - lightrag - INFO - get_node:query:MATCH (n:`MERCILESS CREDITOR`) RETURN n:result: -2024-10-29 15:15:11,500 - lightrag - INFO - get_node:query:MATCH (n:`THE SPIRITS`) RETURN n:result:"The Spirits represent the past, present, and future in Scrooge\'s life, guiding him toward redemption and self-reflection."', 'source_id': 'chunk-90b95db5c53e4364a6bee36b7aa4d70fchunk-cb661c37436355ccec2769b1d0350c5f'}> -2024-10-29 15:15:11,590 - lightrag - INFO - get_node:query:MATCH (n:`THE MOTHER`) RETURN n:result:"The Mother is a character associated with the family dynamics during the Christmas scene, though her actions are not explicitly detailed.""The Mother is depicted as a comely matron, who enjoys the laughter and chaos with her children, showing warmth and family value."', 'source_id': 'chunk-da2472b4ef2a535b62908f14d0fb0ca9chunk-83ac129dc9b56f84c46760d153d68e93chunk-54bdd22db1f84a965b5f4c06c9216d8d'}> -2024-10-29 15:15:11,680 - lightrag - INFO - get_node:query:MATCH (n:`LIGHT`) RETURN n:result: -2024-10-29 15:15:11,771 - lightrag - INFO - get_node:query:MATCH (n:`TWO YOUNG CRATCHITS`) RETURN n:result: -2024-10-29 15:15:11,865 - lightrag - INFO - get_node:query:MATCH (n:`JOE`) RETURN n:result:"Joe is a marine-store dealer depicted as receiving stolen goods, illustrating the consequences of crime and the darker sides of society.""Joe is portrayed as a character engaged in a conversation about the deceased, displaying a mix of humor and practicality in dealing with the possessions of the dead."', 'source_id': 'chunk-89777b838d5447c7bd1ec11282c4ee89chunk-9e3921da66da5d761ab73cd849af6c43chunk-e1f29eeadc1d8ab46dc8a0bbd3c56b64'}> -2024-10-29 15:15:12,016 - lightrag - INFO - _find_node_degree:query: - MATCH (n:`EMOTION`) - RETURN COUNT{ (n)--() } AS totalEdgeCount - :result:0 -2024-10-29 15:15:12,194 - lightrag - INFO - _find_node_degree:query: - MATCH (n:`DARKNESS`) - RETURN COUNT{ (n)--() } AS totalEdgeCount - :result:1 -2024-10-29 15:15:12,372 - lightrag - INFO - _find_node_degree:query: - MATCH (n:`THE PHANTOM`) - RETURN COUNT{ (n)--() } AS totalEdgeCount - :result:2 -2024-10-29 15:15:12,548 - lightrag - INFO - _find_node_degree:query: - MATCH (n:`THE COSMIC SIGNIFICANCE`) - RETURN COUNT{ (n)--() } AS totalEdgeCount - :result:0 -2024-10-29 15:15:12,719 - lightrag - INFO - _find_node_degree:query: - MATCH (n:`CHRISTMAS HOLIDAYS`) - RETURN COUNT{ (n)--() } AS totalEdgeCount - :result:0 -2024-10-29 15:15:12,893 - lightrag - INFO - _find_node_degree:query: - MATCH (n:`PONDEROUS CHAIN`) - RETURN COUNT{ (n)--() } AS totalEdgeCount - :result:0 -2024-10-29 15:15:13,064 - lightrag - INFO - _find_node_degree:query: - MATCH (n:`HUMANITY`) - RETURN COUNT{ (n)--() } AS totalEdgeCount - :result:1 -2024-10-29 15:15:13,239 - lightrag - INFO - _find_node_degree:query: - MATCH (n:`CHRISTMAS`) - RETURN COUNT{ (n)--() } AS totalEdgeCount - :result:18 -2024-10-29 15:15:13,418 - lightrag - INFO - _find_node_degree:query: - MATCH (n:`DEATH`) - RETURN COUNT{ (n)--() } AS totalEdgeCount - :result:3 -2024-10-29 15:15:13,599 - lightrag - INFO - _find_node_degree:query: - MATCH (n:`SCROOGE`) - RETURN COUNT{ (n)--() } AS totalEdgeCount - :result:100 -2024-10-29 15:15:13,771 - lightrag - INFO - _find_node_degree:query: - MATCH (n:`RUSTY KEYS, NAILS, CHAINS, HINGES`) - RETURN COUNT{ (n)--() } AS totalEdgeCount - :result:1 -2024-10-29 15:15:13,942 - lightrag - INFO - _find_node_degree:query: - MATCH (n:`THE PENANCE`) - RETURN COUNT{ (n)--() } AS totalEdgeCount - :result:0 -2024-10-29 15:15:14,119 - lightrag - INFO - _find_node_degree:query: - MATCH (n:`MAN`) - RETURN COUNT{ (n)--() } AS totalEdgeCount - :result:1 -2024-10-29 15:15:14,294 - lightrag - INFO - _find_node_degree:query: - MATCH (n:`THE SCHOOLMASTER`) - RETURN COUNT{ (n)--() } AS totalEdgeCount - :result:1 -2024-10-29 15:15:14,474 - lightrag - INFO - _find_node_degree:query: - MATCH (n:`THE GRAVE`) - RETURN COUNT{ (n)--() } AS totalEdgeCount - :result:1 -2024-10-29 15:15:14,648 - lightrag - INFO - _find_node_degree:query: - MATCH (n:`KEYHOLE`) - RETURN COUNT{ (n)--() } AS totalEdgeCount - :result:0 -2024-10-29 15:15:14,821 - lightrag - INFO - _find_node_degree:query: - MATCH (n:`SCHOOL`) - RETURN COUNT{ (n)--() } AS totalEdgeCount - :result:2 -2024-10-29 15:15:14,995 - lightrag - INFO - _find_node_degree:query: - MATCH (n:`THE CHAIN`) - RETURN COUNT{ (n)--() } AS totalEdgeCount - :result:0 -2024-10-29 15:15:15,173 - lightrag - INFO - _find_node_degree:query: - MATCH (n:`THE THREE SPIRITS`) - RETURN COUNT{ (n)--() } AS totalEdgeCount - :result:1 -2024-10-29 15:15:15,350 - lightrag - INFO - _find_node_degree:query: - MATCH (n:`THE COLD`) - RETURN COUNT{ (n)--() } AS totalEdgeCount - :result:1 -2024-10-29 15:15:15,528 - lightrag - INFO - _find_node_degree:query: - MATCH (n:`DEEDS`) - RETURN COUNT{ (n)--() } AS totalEdgeCount - :result:0 -2024-10-29 15:15:15,704 - lightrag - INFO - _find_node_degree:query: - MATCH (n:`THE BLESSED STAR`) - RETURN COUNT{ (n)--() } AS totalEdgeCount - :result:0 -2024-10-29 15:15:15,877 - lightrag - INFO - _find_node_degree:query: - MATCH (n:`THE CANDLE`) - RETURN COUNT{ (n)--() } AS totalEdgeCount - :result:1 -2024-10-29 15:15:16,054 - lightrag - INFO - _find_node_degree:query: - MATCH (n:`FROST`) - RETURN COUNT{ (n)--() } AS totalEdgeCount - :result:1 -2024-10-29 15:15:16,229 - lightrag - INFO - _find_node_degree:query: - MATCH (n:`THE TRANSPARENT WINDOW`) - RETURN COUNT{ (n)--() } AS totalEdgeCount - :result:0 -2024-10-29 15:15:16,406 - lightrag - INFO - _find_node_degree:query: - MATCH (n:`THE CANDLE-LIGHT`) - RETURN COUNT{ (n)--() } AS totalEdgeCount - :result:0 -2024-10-29 15:15:16,580 - lightrag - INFO - _find_node_degree:query: - MATCH (n:`POVERTY`) - RETURN COUNT{ (n)--() } AS totalEdgeCount - :result:1 -2024-10-29 15:15:16,753 - lightrag - INFO - _find_node_degree:query: - MATCH (n:`SUNDAY CLOTHES BOY`) - RETURN COUNT{ (n)--() } AS totalEdgeCount - :result:1 -2024-10-29 15:15:16,930 - lightrag - INFO - _find_node_degree:query: - MATCH (n:`THE SOLITARY CHILD`) - RETURN COUNT{ (n)--() } AS totalEdgeCount - :result:0 -2024-10-29 15:15:17,101 - lightrag - INFO - _find_node_degree:query: - MATCH (n:`CITY`) - RETURN COUNT{ (n)--() } AS totalEdgeCount - :result:1 -2024-10-29 15:15:17,275 - lightrag - INFO - _find_node_degree:query: - MATCH (n:`FEARFUL PLACE`) - RETURN COUNT{ (n)--() } AS totalEdgeCount - :result:0 -2024-10-29 15:15:17,453 - lightrag - INFO - _find_node_degree:query: - MATCH (n:`IRON CABLE`) - RETURN COUNT{ (n)--() } AS totalEdgeCount - :result:0 -2024-10-29 15:15:17,629 - lightrag - INFO - _find_node_degree:query: - MATCH (n:`SPIRIT`) - RETURN COUNT{ (n)--() } AS totalEdgeCount - :result:9 -2024-10-29 15:15:17,804 - lightrag - INFO - _find_node_degree:query: - MATCH (n:`THE SETTING SUN`) - RETURN COUNT{ (n)--() } AS totalEdgeCount - :result:1 -2024-10-29 15:15:17,996 - lightrag - INFO - _find_node_degree:query: - MATCH (n:`KEYS`) - RETURN COUNT{ (n)--() } AS totalEdgeCount - :result:0 -2024-10-29 15:15:18,193 - lightrag - INFO - _find_node_degree:query: - MATCH (n:`THE CLOTHES AND ITEMS`) - RETURN COUNT{ (n)--() } AS totalEdgeCount - :result:0 -2024-10-29 15:15:18,370 - lightrag - INFO - _find_node_degree:query: - MATCH (n:`AVARICE`) - RETURN COUNT{ (n)--() } AS totalEdgeCount - :result:0 -2024-10-29 15:15:18,545 - lightrag - INFO - _find_node_degree:query: - MATCH (n:`THE FIREPLACE`) - RETURN COUNT{ (n)--() } AS totalEdgeCount - :result:0 -2024-10-29 15:15:18,716 - lightrag - INFO - _find_node_degree:query: - MATCH (n:`WANT`) - RETURN COUNT{ (n)--() } AS totalEdgeCount - :result:1 -2024-10-29 15:15:18,889 - lightrag - INFO - _find_node_degree:query: - MATCH (n:`THE DAUGHTER`) - RETURN COUNT{ (n)--() } AS totalEdgeCount - :result:1 -2024-10-29 15:15:19,063 - lightrag - INFO - _find_node_degree:query: - MATCH (n:`CHRISTMAS-TIME`) - RETURN COUNT{ (n)--() } AS totalEdgeCount - :result:2 -2024-10-29 15:15:19,235 - lightrag - INFO - _find_node_degree:query: - MATCH (n:`THE BED`) - RETURN COUNT{ (n)--() } AS totalEdgeCount - :result:1 -2024-10-29 15:15:19,410 - lightrag - INFO - _find_node_degree:query: - MATCH (n:`SHADOW OF HIMSELF`) - RETURN COUNT{ (n)--() } AS totalEdgeCount - :result:1 -2024-10-29 15:15:19,591 - lightrag - INFO - _find_node_degree:query: - MATCH (n:`KIND WORD`) - RETURN COUNT{ (n)--() } AS totalEdgeCount - :result:0 -2024-10-29 15:15:19,767 - lightrag - INFO - _find_node_degree:query: - MATCH (n:`GAOL`) - RETURN COUNT{ (n)--() } AS totalEdgeCount - :result:1 -2024-10-29 15:15:19,941 - lightrag - INFO - _find_node_degree:query: - MATCH (n:`IGNORANCE`) - RETURN COUNT{ (n)--() } AS totalEdgeCount - :result:3 -2024-10-29 15:15:20,111 - lightrag - INFO - _find_node_degree:query: - MATCH (n:`CHILDREN`) - RETURN COUNT{ (n)--() } AS totalEdgeCount - :result:2 -2024-10-29 15:15:20,287 - lightrag - INFO - _find_node_degree:query: - MATCH (n:`THE ROOM BY DAYLIGHT`) - RETURN COUNT{ (n)--() } AS totalEdgeCount - :result:0 -2024-10-29 15:15:20,466 - lightrag - INFO - _find_node_degree:query: - MATCH (n:`THE BOTTLE`) - RETURN COUNT{ (n)--() } AS totalEdgeCount - :result:0 -2024-10-29 15:15:20,649 - lightrag - INFO - _find_node_degree:query: - MATCH (n:`THE FLANNEL BAG`) - RETURN COUNT{ (n)--() } AS totalEdgeCount - :result:0 -2024-10-29 15:15:20,826 - lightrag - INFO - _find_node_degree:query: - MATCH (n:`THE YOUNG GIRL`) - RETURN COUNT{ (n)--() } AS totalEdgeCount - :result:1 -2024-10-29 15:15:20,998 - lightrag - INFO - _find_node_degree:query: - MATCH (n:`A CHRISTMAS CAROL`) - RETURN COUNT{ (n)--() } AS totalEdgeCount - :result:3 -2024-10-29 15:15:21,172 - lightrag - INFO - _find_node_degree:query: - MATCH (n:`THE CITY`) - RETURN COUNT{ (n)--() } AS totalEdgeCount - :result:3 -2024-10-29 15:15:21,349 - lightrag - INFO - _find_node_degree:query: - MATCH (n:`GHOST`) - RETURN COUNT{ (n)--() } AS totalEdgeCount - :result:3 -2024-10-29 15:15:21,524 - lightrag - INFO - _find_node_degree:query: - MATCH (n:`MERCILESS CREDITOR`) - RETURN COUNT{ (n)--() } AS totalEdgeCount - :result:0 -2024-10-29 15:15:21,698 - lightrag - INFO - _find_node_degree:query: - MATCH (n:`THE SPIRITS`) - RETURN COUNT{ (n)--() } AS totalEdgeCount - :result:1 -2024-10-29 15:15:21,873 - lightrag - INFO - _find_node_degree:query: - MATCH (n:`THE MOTHER`) - RETURN COUNT{ (n)--() } AS totalEdgeCount - :result:2 -2024-10-29 15:15:22,045 - lightrag - INFO - _find_node_degree:query: - MATCH (n:`LIGHT`) - RETURN COUNT{ (n)--() } AS totalEdgeCount - :result:1 -2024-10-29 15:15:22,216 - lightrag - INFO - _find_node_degree:query: - MATCH (n:`TWO YOUNG CRATCHITS`) - RETURN COUNT{ (n)--() } AS totalEdgeCount - :result:0 -2024-10-29 15:15:22,391 - lightrag - INFO - _find_node_degree:query: - MATCH (n:`JOE`) - RETURN COUNT{ (n)--() } AS totalEdgeCount - :result:2 -2024-10-29 15:16:07,531 - lightrag - INFO - Logger initialized for working directory: ./neo4jWorkDir -2024-10-29 15:16:07,531 - lightrag - DEBUG - LightRAG init with param: + embedding_func_max_async = 16, + llm_model_func = , + llm_model_name = meta-llama/Llama-3.2-1B-Instruct, + llm_model_max_token_size = 32768, + llm_model_max_async = 16, + key_string_value_json_storage_cls = , + vector_db_storage_cls = , + vector_db_storage_cls_kwargs = {}, + graph_storage_cls = , + enable_llm_cache = True, + addon_params = {}, + convert_response_to_json_func = + +2024-10-30 05:39:22,755 - lightrag - INFO - Load KV full_docs with 0 data +2024-10-30 05:39:22,756 - lightrag - INFO - Load KV text_chunks with 0 data +2024-10-30 05:39:22,757 - lightrag - INFO - Load KV llm_response_cache with 88 data +2024-10-30 05:39:22,760 - lightrag - INFO - Creating a new event loop in a sub-thread. +2024-10-30 05:39:22,761 - lightrag - INFO - [New Docs] inserting 1 docs +2024-10-30 05:39:22,955 - lightrag - INFO - [New Chunks] inserting 42 chunks +2024-10-30 05:39:22,955 - lightrag - INFO - Inserting 42 vectors to chunks +2024-10-30 05:39:24,771 - lightrag - INFO - [Entity Extraction]... +2024-10-30 05:39:25,587 - lightrag - INFO - get_node:query:MATCH (n:`PROJECT GUTENBERG`) RETURN n:result:"Project Gutenberg is a digital library offering free eBooks, allowing anyone to access literature in various formats without restrictions.""Project Gutenberg is a digital library providing free access to a wide range of eBooks, primarily in the United States and other regions, under specific licensing terms.""Project Gutenberg is an organization dedicated to the free distribution of electronic works and the preservation of the cultural heritage by providing access to public domain literature.""Project Gutenberg is an organization dedicated to the free distribution of electronic works, relying on volunteers and donations to maintain its collection.""Project Gutenberg is an organization that promotes the free distribution of electronic works and holds a compilation copyright for its collection.""Project Gutenberg is an organization that provides free eBooks, promoting accessibility to literature without restrictions."', 'source_id': 'chunk-194cd9680f4967f48bea89678f7ece21chunk-af4ae173c561e4594c5aea96198cce9dchunk-9e3921da66da5d761ab73cd849af6c43chunk-c51b3dc560b408cce12cdfe5c9c94f57'}> +2024-10-30 05:39:25,733 - lightrag - INFO - _do_upsert:query: + MERGE (n:`PROJECT GUTENBERG`) + SET n += $properties + RETURN n + :result:{'entity_type': '"ORGANIZATION"', 'description': '"Project Gutenberg is a digital library offering free access to a vast array of eBooks, particularly those not protected by U.S. copyright law, allowing for worldwide distribution under specific conditions.""Project Gutenberg is a digital library offering free access to a vast array of eBooks, particularly those not protected by U.S. copyright law, allowing for worldwide distribution under specific conditions.""Project Gutenberg is a digital library offering free eBooks, allowing anyone to access literature in various formats without restrictions.""Project Gutenberg is a digital library providing free access to a wide range of eBooks, primarily in the United States and other regions, under specific licensing terms.""Project Gutenberg is an organization dedicated to the free distribution of electronic works and the preservation of the cultural heritage by providing access to public domain literature.""Project Gutenberg is an organization dedicated to the free distribution of electronic works, relying on volunteers and donations to maintain its collection.""Project Gutenberg is an organization that promotes the free distribution of electronic works and holds a compilation copyright for its collection.""Project Gutenberg is an organization that provides free eBooks, promoting accessibility to literature without restrictions.""Project Gutenberg is an organization dedicated to the free distribution of electronic works, relying on volunteers and donations to maintain its collection.""Project Gutenberg is an organization that promotes the free distribution of electronic works and holds a compilation copyright for its collection.""Project Gutenberg is an organization that provides free eBooks, promoting accessibility to literature without restrictions."', 'source_id': 'chunk-9e3921da66da5d761ab73cd849af6c43chunk-c51b3dc560b408cce12cdfe5c9c94f57chunk-af4ae173c561e4594c5aea96198cce9dchunk-194cd9680f4967f48bea89678f7ece21'} +2024-10-30 05:39:25,878 - lightrag - INFO - get_node:query:MATCH (n:`A CHRISTMAS CAROL`) RETURN n:result:"A Christmas Carol is a literary work available through Project Gutenberg, indicating its role in literature and public access.""A Christmas Carol is a novella by Charles Dickens that explores themes of redemption, compassion, and the spirit of Christmas, first published in 1843."', 'source_id': 'chunk-194cd9680f4967f48bea89678f7ece21chunk-9e3921da66da5d761ab73cd849af6c43'}> +2024-10-30 05:39:26,016 - lightrag - INFO - _do_upsert:query: + MERGE (n:`A CHRISTMAS CAROL`) + SET n += $properties + RETURN n + :result:{'entity_type': '"EVENT"', 'description': '"A Christmas Carol is a famous novella by Charles Dickens that tells the story of Ebenezer Scrooge\'s transformation and redemption, particularly around the Christmas season.""A Christmas Carol is a famous novella by Charles Dickens that tells the story of Ebenezer Scrooge\'s transformation and redemption, particularly around the Christmas season.""A Christmas Carol is a literary work available through Project Gutenberg, indicating its role in literature and public access.""A Christmas Carol is a novella by Charles Dickens that explores themes of redemption, compassion, and the spirit of Christmas, first published in 1843.""A Christmas Carol is a literary work available through Project Gutenberg, indicating its role in literature and public access."', 'source_id': 'chunk-9e3921da66da5d761ab73cd849af6c43chunk-194cd9680f4967f48bea89678f7ece21'} +2024-10-30 05:39:26,154 - lightrag - INFO - get_node:query:MATCH (n:`CHARLES DICKENS`) RETURN n:result:"Charles Dickens is the author of A Christmas Carol, a prominent English writer known for his literary contributions in the 19th century."', 'source_id': 'chunk-9e3921da66da5d761ab73cd849af6c43'}> +2024-10-30 05:39:26,296 - lightrag - INFO - _do_upsert:query: + MERGE (n:`CHARLES DICKENS`) + SET n += $properties + RETURN n + :result:{'entity_type': '"PERSON"', 'description': '"Charles Dickens is a renowned English writer and social critic, best known for his novels depicting Victorian society, including A Christmas Carol.""Charles Dickens is the author of A Christmas Carol, a prominent English writer known for his literary contributions in the 19th century.""Charles Dickens is the author of A Christmas Carol, a prominent English writer known for his literary contributions in the 19th century."', 'source_id': 'chunk-9e3921da66da5d761ab73cd849af6c43'} +2024-10-30 05:39:26,435 - lightrag - INFO - get_node:query:MATCH (n:`ARTHUR RACKHAM`) RETURN n:result:"Arthur Rackham was an English illustrator known for his imaginative and detailed illustrations for children\'s books, including A Christmas Carol."', 'source_id': 'chunk-9e3921da66da5d761ab73cd849af6c43'}> +2024-10-30 05:39:26,575 - lightrag - INFO - _do_upsert:query: + MERGE (n:`ARTHUR RACKHAM`) + SET n += $properties + RETURN n + :result:{'entity_type': '"PERSON"', 'description': '"Arthur Rackham is the illustrator of A Christmas Carol, renowned for his distinctive style in illustrating classic literature.""Arthur Rackham is the illustrator of A Christmas Carol, renowned for his distinctive style in illustrating classic literature.""Arthur Rackham was an English illustrator known for his imaginative and detailed illustrations for children\'s books, including A Christmas Carol."', 'source_id': 'chunk-9e3921da66da5d761ab73cd849af6c43'} +2024-10-30 05:39:26,713 - lightrag - INFO - get_node:query:MATCH (n:`EBENEZER SCROOGE`) RETURN n:result:"Ebenezer Scrooge is a protagonist who experiences confusion and fear regarding the passage of time and supernatural events, especially concerned about a ghostly visitation.""Ebenezer Scrooge is the main character of A Christmas Carol, portrayed as a miserly and greedy old man who experiences a transformation through the visitation of spirits.""Ebenezer Scrooge is the main character of A Christmas Carol, depicted as a miserly and cold-hearted man who undergoes a significant transformation.""Ebenezer Scrooge is the main character who experiences a profound transformation through his encounters with supernatural entities."', 'source_id': 'chunk-c7b10789a9cb0af6c553730b29bd9034chunk-8bc1edd983869352d14cf0886a9175a7chunk-9e3921da66da5d761ab73cd849af6c43'}> +2024-10-30 05:39:26,853 - lightrag - INFO - _do_upsert:query: + MERGE (n:`EBENEZER SCROOGE`) + SET n += $properties + RETURN n + :result:{'entity_type': '"PERSON"', 'description': '"Ebenezer Scrooge is a central character known for his past connections and interactions, especially with Fezziwig and Dick Wilkins.""Ebenezer Scrooge is a central character known for his past connections and interactions, especially with Fezziwig and Dick Wilkins.""Ebenezer Scrooge is a protagonist who experiences confusion and fear regarding the passage of time and supernatural events, especially concerned about a ghostly visitation.""Ebenezer Scrooge is the main character of A Christmas Carol, portrayed as a miserly and greedy old man who experiences a transformation through the visitation of spirits.""Ebenezer Scrooge is the main character of A Christmas Carol, depicted as a miserly and cold-hearted man who undergoes a significant transformation.""Ebenezer Scrooge is the main character who experiences a profound transformation through his encounters with supernatural entities.""Ebenezer Scrooge is the main character of A Christmas Carol, depicted as a miserly and cold-hearted man who undergoes a significant transformation.""Ebenezer Scrooge is the main character who experiences a profound transformation through his encounters with supernatural entities."', 'source_id': 'chunk-9e3921da66da5d761ab73cd849af6c43chunk-c7b10789a9cb0af6c553730b29bd9034chunk-8bc1edd983869352d14cf0886a9175a7'} +2024-10-30 05:39:26,993 - lightrag - INFO - get_node:query:MATCH (n:`BOB CRATCHIT`) RETURN n:result:chunk-91572b3cd42786ba4cb2f180ca25cbf4chunk-d9aac3484185ac66045df92214d245d5chunk-b0f459f5af1c3a5e0b92cbe4ee48b77bchunk-83ac129dc9b56f84c46760d153d68e93chunk-94bea83e7153fc2064aa382b494936a1chunk-19d72c57ae3408758b18d2568e86dc6bchunk-1d4b58de5429cd1261370c231c8673e8chunk-9e3921da66da5d761ab73cd849af6c43chunk-503f0bfa5453467c7c61d160a3540ecachunk-90b95db5c53e4364a6bee36b7aa4d70f'}> +2024-10-30 05:39:26,996 - lightrag - DEBUG - Trigger summary: "BOB CRATCHIT" +2024-10-30 05:39:27,100 - lightrag - INFO - get_node:query:MATCH (n:`TINY TIM`) RETURN n:result:chunk-91572b3cd42786ba4cb2f180ca25cbf4chunk-83ac129dc9b56f84c46760d153d68e93chunk-94bea83e7153fc2064aa382b494936a1chunk-19d72c57ae3408758b18d2568e86dc6bchunk-1d4b58de5429cd1261370c231c8673e8chunk-9e3921da66da5d761ab73cd849af6c43chunk-503f0bfa5453467c7c61d160a3540ecachunk-90b95db5c53e4364a6bee36b7aa4d70fchunk-8f738cb25d60a7dab782162d9d0a25ed'}> +2024-10-30 05:39:27,103 - lightrag - DEBUG - Trigger summary: "TINY TIM" +2024-10-30 05:39:27,206 - lightrag - INFO - get_node:query:MATCH (n:`MR. FEZZIWIG`) RETURN n:result:"Mr. Fezziwig is a kind-hearted old merchant who served as a mentor to Scrooge, representing generosity and the joy of Christmas through his festive parties."', 'source_id': 'chunk-9e3921da66da5d761ab73cd849af6c43'}> +2024-10-30 05:39:27,345 - lightrag - INFO - _do_upsert:query: + MERGE (n:`MR. FEZZIWIG`) + SET n += $properties + RETURN n + :result:{'entity_type': '"PERSON"', 'description': '"Mr. Fezziwig is a kind-hearted merchant and former employer of Scrooge, representing joy and generosity in contrast to Scrooge\'s character.""Mr. Fezziwig is a kind-hearted merchant and former employer of Scrooge, representing joy and generosity in contrast to Scrooge\'s character.""Mr. Fezziwig is a kind-hearted old merchant who served as a mentor to Scrooge, representing generosity and the joy of Christmas through his festive parties."', 'source_id': 'chunk-9e3921da66da5d761ab73cd849af6c43'} +2024-10-30 05:39:27,479 - lightrag - INFO - get_node:query:MATCH (n:`GHOST OF CHRISTMAS PAST`) RETURN n:result:"The Ghost of Christmas Past is a supernatural entity that aids Scrooge in reflecting on his past experiences and emotions.""The Ghost of Christmas Past is one of the spirits in A Christmas Carol that shows Scrooge his past, prompting reflection and change.""The Ghost of Christmas Past represents a spirit that guides Scrooge to revisit and reflect on his past experiences and memories."', 'source_id': 'chunk-9e3921da66da5d761ab73cd849af6c43chunk-bb21d58d36c6306fd8810ddd51c4a971'}> +2024-10-30 05:39:27,619 - lightrag - INFO - _do_upsert:query: + MERGE (n:`GHOST OF CHRISTMAS PAST`) + SET n += $properties + RETURN n + :result:{'entity_type': '"EVENT"', 'description': '"The Ghost of Christmas Past is a supernatural character that shows Scrooge his past, helping him understand the roots of his current miserliness.""The Ghost of Christmas Past is a supernatural entity that aids Scrooge in reflecting on his past experiences and emotions.""The Ghost of Christmas Past is one of the spirits in A Christmas Carol that shows Scrooge his past, prompting reflection and change.""The Ghost of Christmas Past represents a spirit that guides Scrooge to revisit and reflect on his past experiences and memories.""The Ghost of Christmas Past is one of the spirits in A Christmas Carol that shows Scrooge his past, prompting reflection and change.""The Ghost of Christmas Past represents a spirit that guides Scrooge to revisit and reflect on his past experiences and memories."', 'source_id': 'chunk-9e3921da66da5d761ab73cd849af6c43chunk-bb21d58d36c6306fd8810ddd51c4a971'} +2024-10-30 05:39:27,757 - lightrag - INFO - get_node:query:MATCH (n:`GHOST OF CHRISTMAS PRESENT`) RETURN n:result:"The Ghost of Christmas Present is a spirit that reveals to Scrooge the joys and struggles of the present Christmas season, emphasizing generosity and compassion.""The Ghost of Christmas Present is a spirit that represents generosity and joy, playing a pivotal role in teaching Scrooge valuable lessons about kindness and the Christmas spirit.""The Ghost of Christmas Present is a spirit that reveals the current struggles and joys of others, influencing Scrooge\'s perspective."', 'source_id': 'chunk-9e3921da66da5d761ab73cd849af6c43chunk-843b5b2f944c7413d9ca876e2e2f151f'}> +2024-10-30 05:39:27,901 - lightrag - INFO - _do_upsert:query: + MERGE (n:`GHOST OF CHRISTMAS PRESENT`) + SET n += $properties + RETURN n + :result:{'entity_type': '"EVENT"', 'description': '"The Ghost of Christmas Present is a spirit that embodies generosity and abundance, leading Scrooge to self-reflection and understanding.""The Ghost of Christmas Present is a spirit that reveals to Scrooge the joys and struggles of the present Christmas season, emphasizing generosity and compassion.""The Ghost of Christmas Present is a spirit that represents generosity and joy, playing a pivotal role in teaching Scrooge valuable lessons about kindness and the Christmas spirit.""The Ghost of Christmas Present is a spirit that reveals the current struggles and joys of others, influencing Scrooge\'s perspective.""The Ghost of Christmas Present is a spirit that represents generosity and joy, playing a pivotal role in teaching Scrooge valuable lessons about kindness and the Christmas spirit.""The Ghost of Christmas Present is a spirit that reveals the current struggles and joys of others, influencing Scrooge\'s perspective."', 'source_id': 'chunk-9e3921da66da5d761ab73cd849af6c43chunk-843b5b2f944c7413d9ca876e2e2f151f'} +2024-10-30 05:39:28,038 - lightrag - INFO - get_node:query:MATCH (n:`GHOST OF CHRISTMAS YET TO COME`) RETURN n:result:"The Ghost of Christmas Yet to Come is an apparition that presents Scrooge with a grim vision of his possible future if he doesn\'t change his ways.""The Ghost of Christmas Yet to Come is an event within the story that signifies Scrooge\'s confrontation with the future consequences of his actions.""The Ghost of Christmas Yet to Come signifies a pivotal moment where Scrooge is confronted with the potential futures resulting from his life choices."', 'source_id': 'chunk-02baee20cc9463dbe08170a8e1043e32chunk-9e3921da66da5d761ab73cd849af6c43'}> +2024-10-30 05:39:28,179 - lightrag - INFO - _do_upsert:query: + MERGE (n:`GHOST OF CHRISTMAS YET TO COME`) + SET n += $properties + RETURN n + :result:{'entity_type': '"EVENT"', 'description': '"The Ghost of Christmas Yet to Come is a foreboding spirit that shows Scrooge the potential consequences of his actions if he does not change.""The Ghost of Christmas Yet to Come is a foreboding spirit that shows Scrooge the potential consequences of his actions if he does not change.""The Ghost of Christmas Yet to Come is an apparition that presents Scrooge with a grim vision of his possible future if he doesn\'t change his ways.""The Ghost of Christmas Yet to Come is an event within the story that signifies Scrooge\'s confrontation with the future consequences of his actions.""The Ghost of Christmas Yet to Come signifies a pivotal moment where Scrooge is confronted with the potential futures resulting from his life choices.""The Ghost of Christmas Yet to Come signifies a pivotal moment where Scrooge is confronted with the potential futures resulting from his life choices."', 'source_id': 'chunk-9e3921da66da5d761ab73cd849af6c43chunk-02baee20cc9463dbe08170a8e1043e32'} +2024-10-30 05:39:28,333 - lightrag - INFO - get_node:query:MATCH (n:`FRED`) RETURN n:result:"Fred is Scrooge\'s nephew who expresses admiration for his uncle and proposes a toast in his honor during a Christmas gathering.""Fred is Scrooge\'s nephew, mentioned in the context of Scrooge\'s visit to his house.""Fred is Scrooge\'s nephew, representing the warmth and joy of family that Scrooge initially rejects.""Fred is Scrooge\'s niece by marriage who expresses surprise and warmth at Scrooge\'s unexpected visit for dinner.""Fred is Ebenezer Scrooge\'s nephew, who embodies the spirit of Christmas and represents familial love and joy.""Fred is Scrooge\'s nephew who expresses admiration for Scrooge and raises a toast to his uncle during a Christmas gathering.""Fred is Scrooge\'s nephew, representing familial love and the joy of Christmas gatherings.""Fred is Scrooge\'s nephew, who invites Scrooge to dinner, emphasizing familial connections and the spirit of Christmas.""Fred is Scrooge\'s nephew, who is surprised by Scrooge\'s visit and is depicted as a friendly figure during the Christmas gathering."', 'source_id': 'chunk-e7637ff18c5ded77a68cce0a87883fadchunk-89777b838d5447c7bd1ec11282c4ee89chunk-94bea83e7153fc2064aa382b494936a1chunk-9e3921da66da5d761ab73cd849af6c43chunk-8f738cb25d60a7dab782162d9d0a25ed'}> +2024-10-30 05:39:28,488 - lightrag - INFO - _do_upsert:query: + MERGE (n:`FRED`) + SET n += $properties + RETURN n + :result:{'entity_type': '"PERSON"', 'description': '"Fred is Ebenezer Scrooge\'s lively nephew, who embodies the spirit of Christmas and contrasts with Scrooge\'s misanthropy by inviting him to family gatherings.""Fred is Scrooge\'s nephew who expresses admiration for his uncle and proposes a toast in his honor during a Christmas gathering.""Fred is Scrooge\'s nephew, mentioned in the context of Scrooge\'s visit to his house.""Fred is Scrooge\'s nephew, representing the warmth and joy of family that Scrooge initially rejects.""Fred is Scrooge\'s niece by marriage who expresses surprise and warmth at Scrooge\'s unexpected visit for dinner.""Fred is Ebenezer Scrooge\'s nephew, who embodies the spirit of Christmas and represents familial love and joy.""Fred is Scrooge\'s nephew who expresses admiration for Scrooge and raises a toast to his uncle during a Christmas gathering.""Fred is Scrooge\'s nephew, representing familial love and the joy of Christmas gatherings.""Fred is Scrooge\'s nephew, who invites Scrooge to dinner, emphasizing familial connections and the spirit of Christmas.""Fred is Scrooge\'s nephew, who is surprised by Scrooge\'s visit and is depicted as a friendly figure during the Christmas gathering.""Fred is Ebenezer Scrooge\'s nephew, who embodies the spirit of Christmas and represents familial love and joy.""Fred is Scrooge\'s nephew who expresses admiration for Scrooge and raises a toast to his uncle during a Christmas gathering.""Fred is Scrooge\'s nephew, representing familial love and the joy of Christmas gatherings.""Fred is Scrooge\'s nephew, who invites Scrooge to dinner, emphasizing familial connections and the spirit of Christmas.""Fred is Scrooge\'s nephew, who is surprised by Scrooge\'s visit and is depicted as a friendly figure during the Christmas gathering."', 'source_id': 'chunk-94bea83e7153fc2064aa382b494936a1chunk-9e3921da66da5d761ab73cd849af6c43chunk-89777b838d5447c7bd1ec11282c4ee89chunk-8f738cb25d60a7dab782162d9d0a25edchunk-e7637ff18c5ded77a68cce0a87883fad'} +2024-10-30 05:39:28,630 - lightrag - INFO - get_node:query:MATCH (n:`MRS. CRATCHIT`) RETURN n:result:"Mrs. Cratchit is Bob Cratchit\'s supportive wife, who strives to provide for her family despite their financial struggles and embodies resilience.""Mrs. Cratchit is Bob\'s wife who prepares the Christmas pudding, showcasing her pride and care in family traditions.""Mrs. Cratchit is Bob\'s wife, a supportive mother who manages the household while showing concern for her children\'s well-being.""Mrs. Cratchit is Bob\'s wife, portrayed as making an effort to prepare a festive atmosphere despite their financial struggles.""Mrs. Cratchit is a character who shows affection towards Bob, enhancing the family dynamic.""Mrs. Cratchit is the mother in the family who prepares the meal and shows warmth and attentiveness towards her family members during their Christmas celebration.""Mrs. Cratchit is Bob\'s wife, portrayed as devoted and hardworking, striving to create a joyous atmosphere for her family despite limited resources.""Mrs. Cratchit is Bob\'s wife, proud of her cooking skills, particularly the Christmas pudding, and plays a central role in the family\'s holiday celebration.""Mrs. Cratchit is Bob\'s wife, who expresses care for her family and shares in the emotional moments surrounding Tiny Tim\'s health.""Mrs. Cratchit is portrayed as outspoken and resentful towards Scrooge, yet ultimately participates in the Christmas festivities for her family\'s sake.""Mrs. Cratchit is the mother of the Cratchit family, depicted as nurturing and energetic, managing the Christmas preparations and caring for her children.""Mrs. Cratchit is the wife of Bob Cratchit, who supports her family and embodies warmth and resilience despite their struggles.""Mrs. Cratchit, the wife of Bob, is industrious and caring, focused on the well-being of her family."', 'source_id': 'chunk-7e2e7ebcc19a53b399dc03aded4743e7chunk-91572b3cd42786ba4cb2f180ca25cbf4chunk-b0f459f5af1c3a5e0b92cbe4ee48b77bchunk-19d72c57ae3408758b18d2568e86dc6bchunk-1d4b58de5429cd1261370c231c8673e8chunk-9e3921da66da5d761ab73cd849af6c43chunk-503f0bfa5453467c7c61d160a3540eca'}> +2024-10-30 05:39:28,633 - lightrag - DEBUG - Trigger summary: "MRS. CRATCHIT" +2024-10-30 05:39:28,738 - lightrag - INFO - get_node:query:MATCH (n:`BELINDA CRATCHIT`) RETURN n:result:"Belinda Cratchit is one of Bob Cratchit\'s daughters, assisting her mother in laying the dining cloth.""Belinda is a daughter of Bob and Mrs. Cratchit, representing the Cratchit family\'s love and unity during difficult times.""Belinda Cratchit is one of Bob\'s daughters, assisting in household tasks and showing a strong familial bond.""Belinda is the daughter of Bob and Mrs. Cratchit, representing the innocence and joyful spirit of the Cratchit family."', 'source_id': 'chunk-b0f459f5af1c3a5e0b92cbe4ee48b77bchunk-9e3921da66da5d761ab73cd849af6c43chunk-7e2e7ebcc19a53b399dc03aded4743e7'}> +2024-10-30 05:39:28,881 - lightrag - INFO - _do_upsert:query: + MERGE (n:`BELINDA CRATCHIT`) + SET n += $properties + RETURN n + :result:{'entity_type': '"PERSON"', 'description': '"Belinda Cratchit is another daughter in the Cratchit family, depicted as participating in the festive meal by sweetening the apple sauce, showcasing her involvement in family traditions.""Belinda Cratchit is one of Bob Cratchit\'s daughters, assisting her mother in laying the dining cloth.""Belinda is a daughter of Bob and Mrs. Cratchit, representing the Cratchit family\'s love and unity during difficult times.""Belinda Cratchit is one of Bob\'s daughters, assisting in household tasks and showing a strong familial bond.""Belinda is the daughter of Bob and Mrs. Cratchit, representing the innocence and joyful spirit of the Cratchit family.""Belinda Cratchit is one of Bob\'s daughters, assisting in household tasks and showing a strong familial bond.""Belinda is the daughter of Bob and Mrs. Cratchit, representing the innocence and joyful spirit of the Cratchit family."', 'source_id': 'chunk-9e3921da66da5d761ab73cd849af6c43chunk-7e2e7ebcc19a53b399dc03aded4743e7chunk-b0f459f5af1c3a5e0b92cbe4ee48b77b'} +2024-10-30 05:39:29,021 - lightrag - INFO - get_node:query:MATCH (n:`MARTHA CRATCHIT`) RETURN n:result:"Martha is another daughter of Bob and Mrs. Cratchit, who, like her sister Belinda, symbolizes the warmth and togetherness in the Cratchit household.""Martha Cratchit is a daughter of Bob and Mrs. Cratchit, working as an apprentice at a milliner\'s and looking forward to the holiday for a good rest.""Martha is another daughter of Bob and Mrs. Cratchit, who shows love and care for her family."', 'source_id': 'chunk-7e2e7ebcc19a53b399dc03aded4743e7chunk-9e3921da66da5d761ab73cd849af6c43chunk-19d72c57ae3408758b18d2568e86dc6b'}> +2024-10-30 05:39:29,160 - lightrag - INFO - _do_upsert:query: + MERGE (n:`MARTHA CRATCHIT`) + SET n += $properties + RETURN n + :result:{'entity_type': '"PERSON"', 'description': '"Martha Cratchit is a daughter in the Cratchit family who contributes to the household and shows affection for her family, particularly her father Bob.""Martha is another daughter of Bob and Mrs. Cratchit, who, like her sister Belinda, symbolizes the warmth and togetherness in the Cratchit household.""Martha Cratchit is a daughter of Bob and Mrs. Cratchit, working as an apprentice at a milliner\'s and looking forward to the holiday for a good rest.""Martha is another daughter of Bob and Mrs. Cratchit, who shows love and care for her family.""Martha Cratchit is a daughter of Bob and Mrs. Cratchit, working as an apprentice at a milliner\'s and looking forward to the holiday for a good rest.""Martha is another daughter of Bob and Mrs. Cratchit, who shows love and care for her family."', 'source_id': 'chunk-9e3921da66da5d761ab73cd849af6c43chunk-19d72c57ae3408758b18d2568e86dc6bchunk-7e2e7ebcc19a53b399dc03aded4743e7'} +2024-10-30 05:39:29,294 - lightrag - INFO - get_node:query:MATCH (n:`JOE`) RETURN n:result:"Joe is a marine-store dealer depicted as receiving stolen goods, illustrating the consequences of crime and the darker sides of society.""Joe is portrayed as a character engaged in a conversation about the deceased, displaying a mix of humor and practicality in dealing with the possessions of the dead.""Joe is a character who interacts with others, demonstrating a sense of curiosity and disbelief regarding certain situations and comments.""Joe is a marine-store dealer and receiver of stolen goods, indicative of the darker, more unscrupulous elements of society.""Joe is an old character who engages in conversation about the deceased man\'s belongings, revealing his pragmatic and somewhat cynical perspective on life and death."', 'source_id': 'chunk-e1f29eeadc1d8ab46dc8a0bbd3c56b64chunk-9e3921da66da5d761ab73cd849af6c43chunk-89777b838d5447c7bd1ec11282c4ee89'}> +2024-10-30 05:39:29,434 - lightrag - INFO - _do_upsert:query: + MERGE (n:`JOE`) + SET n += $properties + RETURN n + :result:{'entity_type': '"PERSON"', 'description': '"Joe is a character engaged in a conversation, displaying curiosity and a sense of humor regarding a situation related to \'bed-curtains\'.""Joe is a marine-store dealer depicted as receiving stolen goods, illustrating the consequences of crime and the darker sides of society.""Joe is portrayed as a character engaged in a conversation about the deceased, displaying a mix of humor and practicality in dealing with the possessions of the dead.""Joe is a character who interacts with others, demonstrating a sense of curiosity and disbelief regarding certain situations and comments.""Joe is a marine-store dealer and receiver of stolen goods, indicative of the darker, more unscrupulous elements of society.""Joe is an old character who engages in conversation about the deceased man\'s belongings, revealing his pragmatic and somewhat cynical perspective on life and death.""Joe is a character who interacts with others, demonstrating a sense of curiosity and disbelief regarding certain situations and comments.""Joe is a marine-store dealer and receiver of stolen goods, indicative of the darker, more unscrupulous elements of society.""Joe is an old character who engages in conversation about the deceased man\'s belongings, revealing his pragmatic and somewhat cynical perspective on life and death."', 'source_id': 'chunk-9e3921da66da5d761ab73cd849af6c43chunk-89777b838d5447c7bd1ec11282c4ee89chunk-e1f29eeadc1d8ab46dc8a0bbd3c56b64'} +2024-10-30 05:39:29,574 - lightrag - INFO - get_node:query:MATCH (n:`GHOST OF JACOB MARLEY`) RETURN n:result:"The Ghost of Jacob Marley is the specter of Scrooge\'s former business partner, who warns Scrooge to change his ways."', 'source_id': 'chunk-9e3921da66da5d761ab73cd849af6c43'}> +2024-10-30 05:39:29,713 - lightrag - INFO - _do_upsert:query: + MERGE (n:`GHOST OF JACOB MARLEY`) + SET n += $properties + RETURN n + :result:{'entity_type': '"EVENT"', 'description': '"The Ghost of Jacob Marley is Scrooge\'s deceased business partner who returns as a spirit to warn Scrooge about the consequences of his life choices and to encourage change.""The Ghost of Jacob Marley is the specter of Scrooge\'s former business partner, who warns Scrooge to change his ways.""The Ghost of Jacob Marley is the specter of Scrooge\'s former business partner, who warns Scrooge to change his ways."', 'source_id': 'chunk-9e3921da66da5d761ab73cd849af6c43'} +2024-10-30 05:39:29,854 - lightrag - INFO - get_node:query:MATCH (n:`FAN`) RETURN n:result:"Fan is Scrooge\'s caring sister who represents innocence and love, showcasing a more tender side of Scrooge’s past.""Fan is Scrooge\'s younger sister, who brings joy and the promise of a happier home, reflecting on their childhood relationship."', 'source_id': 'chunk-c6c248858d1b13ab7ee9ca13c1aeed6bchunk-9e3921da66da5d761ab73cd849af6c43'}> +2024-10-30 05:39:30,001 - lightrag - INFO - _do_upsert:query: + MERGE (n:`FAN`) + SET n += $properties + RETURN n + :result:{'entity_type': '"PERSON"', 'description': '"Fan is Ebenezer Scrooge\'s sister, who represents love and kindness from Scrooge\'s past, influencing his character development.""Fan is Ebenezer Scrooge\'s sister, who represents love and kindness from Scrooge\'s past, influencing his character development.""Fan is Scrooge\'s caring sister who represents innocence and love, showcasing a more tender side of Scrooge’s past.""Fan is Scrooge\'s younger sister, who brings joy and the promise of a happier home, reflecting on their childhood relationship.""Fan is Scrooge\'s younger sister, who brings joy and the promise of a happier home, reflecting on their childhood relationship."', 'source_id': 'chunk-9e3921da66da5d761ab73cd849af6c43chunk-c6c248858d1b13ab7ee9ca13c1aeed6b'} +2024-10-30 05:39:30,138 - lightrag - INFO - get_node:query:MATCH (n:`MRS. FEZZIWIG`) RETURN n:result:"Mrs. Fezziwig is the kind partner of Mr. Fezziwig, contributing to the festive atmosphere of their celebrations, emphasizing the importance of joyous gatherings.""Mrs. Fezziwig is the wife of Fezziwig, joining him in celebrations and dances, embodying warmth and partnership.""Mrs. Fezziwig is the wife of Fezziwig, participating in the dance, representing companionship and festive cheer.""Mrs. Fezziwig is noted for her smile and participation in the festivities, particularly in dancing with Fezziwig.""Mrs. Fezziwig is the partner of Mr. Fezziwig, known for her warmth and joyous nature during Christmas celebrations.""Mrs. Fezziwig partners with Fezziwig in hosting the domestic ball, contributing to the warmth and cheer of the event."', 'source_id': 'chunk-b2f98bc7abb0c67d4c86055c7fd72218chunk-8bc1edd983869352d14cf0886a9175a7chunk-9e3921da66da5d761ab73cd849af6c43chunk-89777b838d5447c7bd1ec11282c4ee89'}> +2024-10-30 05:39:30,276 - lightrag - INFO - _do_upsert:query: + MERGE (n:`MRS. FEZZIWIG`) + SET n += $properties + RETURN n + :result:{'entity_type': '"PERSON"', 'description': '"Mrs. Fezziwig is Fezziwig\'s partner at the domestic ball, contributing to the festive atmosphere alongside her husband.""Mrs. Fezziwig is the kind partner of Mr. Fezziwig, contributing to the festive atmosphere of their celebrations, emphasizing the importance of joyous gatherings.""Mrs. Fezziwig is the wife of Fezziwig, joining him in celebrations and dances, embodying warmth and partnership.""Mrs. Fezziwig is the wife of Fezziwig, participating in the dance, representing companionship and festive cheer.""Mrs. Fezziwig is noted for her smile and participation in the festivities, particularly in dancing with Fezziwig.""Mrs. Fezziwig is the partner of Mr. Fezziwig, known for her warmth and joyous nature during Christmas celebrations.""Mrs. Fezziwig partners with Fezziwig in hosting the domestic ball, contributing to the warmth and cheer of the event.""Mrs. Fezziwig is noted for her smile and participation in the festivities, particularly in dancing with Fezziwig.""Mrs. Fezziwig is the partner of Mr. Fezziwig, known for her warmth and joyous nature during Christmas celebrations.""Mrs. Fezziwig partners with Fezziwig in hosting the domestic ball, contributing to the warmth and cheer of the event."', 'source_id': 'chunk-9e3921da66da5d761ab73cd849af6c43chunk-89777b838d5447c7bd1ec11282c4ee89chunk-8bc1edd983869352d14cf0886a9175a7chunk-b2f98bc7abb0c67d4c86055c7fd72218'} +2024-10-30 05:39:30,415 - lightrag - INFO - get_node:query:MATCH (n:`FEZZIWIG`) RETURN n:result:"Fezziwig is a character noted for his role during a domestic ball, providing a joyful atmosphere and exemplifying kindness and generosity.""Fezziwig is a figure representing a cheerful and jovial employer who organizes lively Christmas festivities for his employees.""Fezziwig is a jovial figure from Scrooge\'s past, known for his kind-heartedness and as a former employer who embodies the spirit of Christmas.""Fezziwig is depicted as a joyful character who dances with his wife and embodies the spirit of Christmas.""Fezziwig is a joyful and lively character who dances with Mrs. Fezziwig, embodying the festive spirit of Christmas.""Fezziwig is presented as Scrooge\'s former employer, known for his jovial nature and generous spirit, who plays a significant role in Scrooge\'s memories.""Fezziwig is the owner of a business where festive celebrations take place, known for his jovial character and ability to create a lively atmosphere."', 'source_id': 'chunk-b2f98bc7abb0c67d4c86055c7fd72218chunk-c6c248858d1b13ab7ee9ca13c1aeed6bchunk-89777b838d5447c7bd1ec11282c4ee89chunk-8bc1edd983869352d14cf0886a9175a7'}> +2024-10-30 05:39:30,555 - lightrag - INFO - _do_upsert:query: + MERGE (n:`FEZZIWIG`) + SET n += $properties + RETURN n + :result:{'entity_type': '"PERSON"', 'description': '"Fezziwig is a character known for hosting a domestic ball that brings joy and merriment to the participants, showcasing his ability to create happiness.""Fezziwig is a character known for hosting a domestic ball that brings joy and merriment to the participants, showcasing his ability to create happiness.""Fezziwig is a character noted for his role during a domestic ball, providing a joyful atmosphere and exemplifying kindness and generosity.""Fezziwig is a figure representing a cheerful and jovial employer who organizes lively Christmas festivities for his employees.""Fezziwig is a jovial figure from Scrooge\'s past, known for his kind-heartedness and as a former employer who embodies the spirit of Christmas.""Fezziwig is depicted as a joyful character who dances with his wife and embodies the spirit of Christmas.""Fezziwig is a joyful and lively character who dances with Mrs. Fezziwig, embodying the festive spirit of Christmas.""Fezziwig is presented as Scrooge\'s former employer, known for his jovial nature and generous spirit, who plays a significant role in Scrooge\'s memories.""Fezziwig is the owner of a business where festive celebrations take place, known for his jovial character and ability to create a lively atmosphere.""Fezziwig is a joyful and lively character who dances with Mrs. Fezziwig, embodying the festive spirit of Christmas.""Fezziwig is presented as Scrooge\'s former employer, known for his jovial nature and generous spirit, who plays a significant role in Scrooge\'s memories.""Fezziwig is the owner of a business where festive celebrations take place, known for his jovial character and ability to create a lively atmosphere."', 'source_id': 'chunk-b2f98bc7abb0c67d4c86055c7fd72218chunk-c6c248858d1b13ab7ee9ca13c1aeed6bchunk-8bc1edd983869352d14cf0886a9175a7chunk-89777b838d5447c7bd1ec11282c4ee89'} +2024-10-30 05:39:30,695 - lightrag - INFO - get_node:query:MATCH (n:`SCROOGE`) RETURN n:result:chunk-c7b10789a9cb0af6c553730b29bd9034chunk-b0f459f5af1c3a5e0b92cbe4ee48b77bchunk-02baee20cc9463dbe08170a8e1043e32chunk-bb21d58d36c6306fd8810ddd51c4a971chunk-503f0bfa5453467c7c61d160a3540ecachunk-1aa50206d02ed89418f65f97c6441d1cchunk-9c43dac2fcd5b578242d907ea6f8fc7bchunk-773d0df1dd25c356f7b771d780583e09chunk-843b5b2f944c7413d9ca876e2e2f151fchunk-f1a4fbcf1ed86864b9bfd5e8dba4c683chunk-8f738cb25d60a7dab782162d9d0a25edchunk-91614df5cb74cbe5e109a338a82041e9chunk-83ac129dc9b56f84c46760d153d68e93chunk-359187e7571bda4b0b08b2e0b6581e52chunk-cb661c37436355ccec2769b1d0350c5fchunk-91572b3cd42786ba4cb2f180ca25cbf4chunk-99b0ec7f7e006561352b5d65e849611dchunk-e1f29eeadc1d8ab46dc8a0bbd3c56b64chunk-c6c248858d1b13ab7ee9ca13c1aeed6bchunk-5dac41b3f9eeaf794f0147400b1718cdchunk-89777b838d5447c7bd1ec11282c4ee89chunk-b2f98bc7abb0c67d4c86055c7fd72218chunk-94bea83e7153fc2064aa382b494936a1chunk-8590d9263cd2cd4fa583c432fc54e6c3chunk-54bdd22db1f84a965b5f4c06c9216d8dchunk-90b95db5c53e4364a6bee36b7aa4d70fchunk-e7637ff18c5ded77a68cce0a87883fadchunk-90d5764e301321c087f5a8f78b73a145chunk-74e2466de2f67fd710ef2f20c0a8d9e0chunk-da2472b4ef2a535b62908f14d0fb0ca9chunk-19d72c57ae3408758b18d2568e86dc6bchunk-43c9bee23adfa77aa9dedd22401bba7d'}> +2024-10-30 05:39:30,698 - lightrag - DEBUG - Trigger summary: "SCROOGE" +2024-10-30 05:39:30,803 - lightrag - INFO - get_node:query:MATCH (n:`MARLEY`) RETURN n:result:"Marley is Scrooge\'s deceased business partner, whose death is a significant event that sets the tone for the story.""Marley is Scrooge\'s deceased business partner, whose death is mentioned as impactful, having passed seven years prior to the events in the text.""Marley is Scrooge\'s deceased business partner, whose spectral presence looms over Scrooge, evoking themes of regret and the supernatural.""Marley is Scrooge\'s deceased partner whose death is emphasized, and who impacts Scrooge\'s story through memories and reflections.""Marley is a character who, although only mentioned, has had a significant influence on Scrooge\'s life and perspective, representing his past connections.""Marley is a deceased character whose ghost appears to Scrooge, representing regret and the consequences of a life led without compassion.""Marley is depicted as a ghost, having a pigtail, waistcoat, tights, and boots, and is central to Scrooge\'s haunting experience."', 'source_id': 'chunk-d9aac3484185ac66045df92214d245d5chunk-5dac41b3f9eeaf794f0147400b1718cdchunk-89777b838d5447c7bd1ec11282c4ee89chunk-9c43dac2fcd5b578242d907ea6f8fc7bchunk-843b5b2f944c7413d9ca876e2e2f151f'}> +2024-10-30 05:39:30,941 - lightrag - INFO - _do_upsert:query: + MERGE (n:`MARLEY`) + SET n += $properties + RETURN n + :result:{'entity_type': '"PERSON"', 'description': '"Marley is Scrooge\'s deceased business partner whose presence looms over the story, symbolizing the consequences of a life similar to Scrooge\'s.""Marley is Scrooge\'s deceased business partner whose presence looms over the story, symbolizing the consequences of a life similar to Scrooge\'s.""Marley is Scrooge\'s deceased business partner, whose death is a significant event that sets the tone for the story.""Marley is Scrooge\'s deceased business partner, whose death is mentioned as impactful, having passed seven years prior to the events in the text.""Marley is Scrooge\'s deceased business partner, whose spectral presence looms over Scrooge, evoking themes of regret and the supernatural.""Marley is Scrooge\'s deceased partner whose death is emphasized, and who impacts Scrooge\'s story through memories and reflections.""Marley is a character who, although only mentioned, has had a significant influence on Scrooge\'s life and perspective, representing his past connections.""Marley is a deceased character whose ghost appears to Scrooge, representing regret and the consequences of a life led without compassion.""Marley is depicted as a ghost, having a pigtail, waistcoat, tights, and boots, and is central to Scrooge\'s haunting experience.""Marley is Scrooge\'s deceased business partner, whose death is a significant event that sets the tone for the story.""Marley is Scrooge\'s deceased business partner, whose death is mentioned as impactful, having passed seven years prior to the events in the text.""Marley is depicted as a ghost, having a pigtail, waistcoat, tights, and boots, and is central to Scrooge\'s haunting experience."', 'source_id': 'chunk-843b5b2f944c7413d9ca876e2e2f151fchunk-5dac41b3f9eeaf794f0147400b1718cdchunk-d9aac3484185ac66045df92214d245d5chunk-9c43dac2fcd5b578242d907ea6f8fc7bchunk-89777b838d5447c7bd1ec11282c4ee89'} +2024-10-30 05:39:31,076 - lightrag - INFO - get_node:query:MATCH (n:`CHRISTMAS`) RETURN n:result:chunk-503f0bfa5453467c7c61d160a3540ecachunk-773d0df1dd25c356f7b771d780583e09chunk-8f738cb25d60a7dab782162d9d0a25edchunk-91614df5cb74cbe5e109a338a82041e9chunk-91572b3cd42786ba4cb2f180ca25cbf4chunk-99b0ec7f7e006561352b5d65e849611dchunk-c6c248858d1b13ab7ee9ca13c1aeed6bchunk-5dac41b3f9eeaf794f0147400b1718cdchunk-89777b838d5447c7bd1ec11282c4ee89chunk-94bea83e7153fc2064aa382b494936a1chunk-8590d9263cd2cd4fa583c432fc54e6c3chunk-1d4b58de5429cd1261370c231c8673e8chunk-54bdd22db1f84a965b5f4c06c9216d8dchunk-e7637ff18c5ded77a68cce0a87883fadchunk-90d5764e301321c087f5a8f78b73a145chunk-74e2466de2f67fd710ef2f20c0a8d9e0chunk-da2472b4ef2a535b62908f14d0fb0ca9chunk-43c9bee23adfa77aa9dedd22401bba7d'}> +2024-10-30 05:39:31,079 - lightrag - DEBUG - Trigger summary: "CHRISTMAS" +2024-10-30 05:39:31,183 - lightrag - INFO - get_node:query:MATCH (n:`THE WAREHOUSE`) RETURN n:result:"The Warehouse is the setting for Fezziwig\'s celebrations, transformed into a ballroom for the festivities.""The Warehouse is the place of business shared by Scrooge and Marley, a symbol of their partnership in life and business.""The Warehouse serves as the setting for Scrooge\'s memories of Fezziwig\'s jovial nature and the lively gatherings during his apprenticeship."', 'source_id': 'chunk-c6c248858d1b13ab7ee9ca13c1aeed6bchunk-89777b838d5447c7bd1ec11282c4ee89chunk-8bc1edd983869352d14cf0886a9175a7'}> +2024-10-30 05:39:31,321 - lightrag - INFO - _do_upsert:query: + MERGE (n:`THE WAREHOUSE`) + SET n += $properties + RETURN n + :result:{'entity_type': '"ORGANIZATION"', 'description': '"The Warehouse is a specific location where Scrooge had previously apprenticed and holds significant memories for him.""The Warehouse is the setting for Fezziwig\'s celebrations, transformed into a ballroom for the festivities.""The Warehouse is the place of business shared by Scrooge and Marley, a symbol of their partnership in life and business.""The Warehouse serves as the setting for Scrooge\'s memories of Fezziwig\'s jovial nature and the lively gatherings during his apprenticeship.""The Warehouse is the place of business shared by Scrooge and Marley, a symbol of their partnership in life and business.""The Warehouse serves as the setting for Scrooge\'s memories of Fezziwig\'s jovial nature and the lively gatherings during his apprenticeship."', 'source_id': 'chunk-c6c248858d1b13ab7ee9ca13c1aeed6bchunk-8bc1edd983869352d14cf0886a9175a7chunk-89777b838d5447c7bd1ec11282c4ee89'} +2024-10-30 05:39:31,458 - lightrag - INFO - get_node:query:MATCH (n:`THE WOMAN`) RETURN n:result:"The Woman is a character involved in the dialogue about the deceased\'s belongings, showing a carefree attitude towards their former owner.""The Woman is a character who enters the shop with a heavy bundle and demonstrates a bold and defiant demeanor, eager to take part in the conversation about the deceased\'s belongings.""The Woman engages in conversation with Joe, providing light-hearted responses and laughing at the absurdity of their discussions.""The Woman is an unknown character, bold and defiant, who instigates the gathering and discusses the deceased with a lack of reverence.""The Woman is another character who interacts with Joe, demonstrating a lack of reverence for the deceased and a focus on material gain."', 'source_id': 'chunk-60fc063c79fc0d4acc91a57e79de04dcchunk-89777b838d5447c7bd1ec11282c4ee89chunk-e1f29eeadc1d8ab46dc8a0bbd3c56b64'}> +2024-10-30 05:39:31,599 - lightrag - INFO - _do_upsert:query: + MERGE (n:`THE WOMAN`) + SET n += $properties + RETURN n + :result:{'entity_type': '"PERSON"', 'description': '"The Woman engages in a humorous exchange with Joe about taking down bed-curtains, showcasing lively communication among characters.""The Woman is a character involved in the dialogue about the deceased\'s belongings, showing a carefree attitude towards their former owner.""The Woman is a character who enters the shop with a heavy bundle and demonstrates a bold and defiant demeanor, eager to take part in the conversation about the deceased\'s belongings.""The Woman engages in conversation with Joe, providing light-hearted responses and laughing at the absurdity of their discussions.""The Woman is an unknown character, bold and defiant, who instigates the gathering and discusses the deceased with a lack of reverence.""The Woman is another character who interacts with Joe, demonstrating a lack of reverence for the deceased and a focus on material gain.""The Woman engages in conversation with Joe, providing light-hearted responses and laughing at the absurdity of their discussions.""The Woman is an unknown character, bold and defiant, who instigates the gathering and discusses the deceased with a lack of reverence.""The Woman is another character who interacts with Joe, demonstrating a lack of reverence for the deceased and a focus on material gain."', 'source_id': 'chunk-60fc063c79fc0d4acc91a57e79de04dcchunk-89777b838d5447c7bd1ec11282c4ee89chunk-e1f29eeadc1d8ab46dc8a0bbd3c56b64'} +2024-10-30 05:39:31,738 - lightrag - INFO - get_node:query:MATCH (n:`TIM`) RETURN n:result: +2024-10-30 05:39:31,885 - lightrag - INFO - _do_upsert:query: + MERGE (n:`TIM`) + SET n += $properties + RETURN n + :result:{'entity_type': '"PERSON"', 'description': '"Tim is mentioned as someone important to Scrooge, indicating familial ties and possibly evoking sympathy and regret from Scrooge\'s character."', 'source_id': 'chunk-89777b838d5447c7bd1ec11282c4ee89'} +2024-10-30 05:39:32,023 - lightrag - INFO - get_node:query:MATCH (n:`THE LACE TUCKER`) RETURN n:result:"The Lace Tucker is a small event within the text, illustrating moments of humor and social interactions among characters."', 'source_id': 'chunk-773d0df1dd25c356f7b771d780583e09chunk-89777b838d5447c7bd1ec11282c4ee89'}> +2024-10-30 05:39:32,163 - lightrag - INFO - _do_upsert:query: + MERGE (n:`THE LACE TUCKER`) + SET n += $properties + RETURN n + :result:{'entity_type': '"EVENT"', 'description': '"The Lace Tucker is a fashionable accessory worn by one of Scrooge\'s Niece\'s sisters, representing the social settings and themes of appearance in the gathering.""The Lace Tucker is a fashionable accessory worn by one of Scrooge\'s Niece\'s sisters, representing the social settings and themes of appearance in the gathering.""The Lace Tucker is a small event within the text, illustrating moments of humor and social interactions among characters.""The Lace Tucker is a small event within the text, illustrating moments of humor and social interactions among characters."', 'source_id': 'chunk-89777b838d5447c7bd1ec11282c4ee89chunk-773d0df1dd25c356f7b771d780583e09'} +2024-10-30 05:39:32,295 - lightrag - INFO - get_node:query:MATCH (n:`OLD SCROOGE`) RETURN n:result: +2024-10-30 05:39:32,478 - lightrag - INFO - _do_upsert:query: + MERGE (n:`OLD SCROOGE`) + SET n += $properties + RETURN n + :result:{'entity_type': '"PERSON"', 'description': '"Old Scrooge represents an earlier version of Scrooge, depicted in memories or recollections and emphasizing his character\'s history."', 'source_id': 'chunk-89777b838d5447c7bd1ec11282c4ee89'} +2024-10-30 05:39:32,616 - lightrag - INFO - get_node:query:MATCH (n:`THE FUNERAL`) RETURN n:result:"The Funeral of Marley is a significant event that highlights Scrooge\'s relationship with Marley and sets the tone for their partnership and Scrooge\'s eventual path.""The Funeral serves as a significant event reflecting on Marley\'s death, noted for its business-like atmosphere as perceived by Scrooge."', 'source_id': 'chunk-89777b838d5447c7bd1ec11282c4ee89chunk-f1a4fbcf1ed86864b9bfd5e8dba4c683'}> +2024-10-30 05:39:32,760 - lightrag - INFO - _do_upsert:query: + MERGE (n:`THE FUNERAL`) + SET n += $properties + RETURN n + :result:{'entity_type': '"EVENT"', 'description': '"The Funeral is a context for conversation among characters, reflecting on mortality and social connections surrounding death.""The Funeral is a context for conversation among characters, reflecting on mortality and social connections surrounding death.""The Funeral of Marley is a significant event that highlights Scrooge\'s relationship with Marley and sets the tone for their partnership and Scrooge\'s eventual path.""The Funeral serves as a significant event reflecting on Marley\'s death, noted for its business-like atmosphere as perceived by Scrooge.""The Funeral of Marley is a significant event that highlights Scrooge\'s relationship with Marley and sets the tone for their partnership and Scrooge\'s eventual path."', 'source_id': 'chunk-f1a4fbcf1ed86864b9bfd5e8dba4c683chunk-89777b838d5447c7bd1ec11282c4ee89'} +2024-10-30 05:39:32,896 - lightrag - INFO - get_node:query:MATCH (n:`SCROOGE'S NEPHEW`) RETURN n:result:"Scrooge\'s Nephew is a cheerful and optimistic character who represents the spirit of Christmas, opposing Scrooge\'s views.""Scrooge\'s Nephew is characterized by his contagious laughter and good humor, contrasting with his uncle\'s miserliness.""Scrooge\'s Nephew is portrayed as optimistic about Christmas, emphasizing its positive qualities despite Scrooge\'s negativity.""Scrooge\'s nephew is a character present at the gathering who actively participates in the games and engages with his family.""Scrooge\'s Nephew is a jovial character known for his infectious laughter and optimistic attitude towards Christmas, finding humor in Scrooge\'s ill temper and wealth.""Scrooge\'s Nephew is portrayed as warm-hearted and attempts to engage his uncle in the spirit of Christmas, despite Scrooge\'s rebuff.""Scrooge\'s nephew is portrayed as a joyful character who embodies laughter and good-humor, contrasting with Scrooge\'s initial persona."', 'source_id': 'chunk-91614df5cb74cbe5e109a338a82041e9chunk-74e2466de2f67fd710ef2f20c0a8d9e0chunk-5dac41b3f9eeaf794f0147400b1718cdchunk-43c9bee23adfa77aa9dedd22401bba7dchunk-773d0df1dd25c356f7b771d780583e09'}> +2024-10-30 05:39:33,038 - lightrag - INFO - _do_upsert:query: + MERGE (n:`SCROOGE'S NEPHEW`) + SET n += $properties + RETURN n + :result:{'entity_type': '"PERSON"', 'description': '"Scrooge\'s Nephew is a cheerful and optimistic character who challenges Scrooge\'s gloomy outlook on Christmas and life.""Scrooge\'s Nephew is a cheerful and optimistic character who challenges Scrooge\'s gloomy outlook on Christmas and life.""Scrooge\'s Nephew is a cheerful and optimistic character who represents the spirit of Christmas, opposing Scrooge\'s views.""Scrooge\'s Nephew is characterized by his contagious laughter and good humor, contrasting with his uncle\'s miserliness.""Scrooge\'s Nephew is portrayed as optimistic about Christmas, emphasizing its positive qualities despite Scrooge\'s negativity.""Scrooge\'s nephew is a character present at the gathering who actively participates in the games and engages with his family.""Scrooge\'s Nephew is a jovial character known for his infectious laughter and optimistic attitude towards Christmas, finding humor in Scrooge\'s ill temper and wealth.""Scrooge\'s Nephew is portrayed as warm-hearted and attempts to engage his uncle in the spirit of Christmas, despite Scrooge\'s rebuff.""Scrooge\'s nephew is portrayed as a joyful character who embodies laughter and good-humor, contrasting with Scrooge\'s initial persona.""Scrooge\'s Nephew is a jovial character known for his infectious laughter and optimistic attitude towards Christmas, finding humor in Scrooge\'s ill temper and wealth.""Scrooge\'s Nephew is portrayed as warm-hearted and attempts to engage his uncle in the spirit of Christmas, despite Scrooge\'s rebuff.""Scrooge\'s nephew is portrayed as a joyful character who embodies laughter and good-humor, contrasting with Scrooge\'s initial persona."', 'source_id': 'chunk-773d0df1dd25c356f7b771d780583e09chunk-5dac41b3f9eeaf794f0147400b1718cdchunk-74e2466de2f67fd710ef2f20c0a8d9e0chunk-91614df5cb74cbe5e109a338a82041e9chunk-43c9bee23adfa77aa9dedd22401bba7d'} +2024-10-30 05:39:33,179 - lightrag - INFO - get_node:query:MATCH (n:`COUNTING-HOUSE`) RETURN n:result:"The Counting-House is a physical space representing the business environment where Scrooge and Marley engaged in trade but also symbolizes their limited worldview.""The Counting-house is the place where Scrooge conducted his business and represents the limitations of his previous life."', 'source_id': 'chunk-74e2466de2f67fd710ef2f20c0a8d9e0chunk-359187e7571bda4b0b08b2e0b6581e52'}> +2024-10-30 05:39:33,318 - lightrag - INFO - _do_upsert:query: + MERGE (n:`COUNTING-HOUSE`) + SET n += $properties + RETURN n + :result:{'entity_type': '"LOCATION"', 'description': '"Scrooge\'s counting-house is the place of his work, characterized by coldness and a lack of warmth or holiday spirit.""Scrooge\'s counting-house is the place of his work, characterized by coldness and a lack of warmth or holiday spirit.""The Counting-House is a physical space representing the business environment where Scrooge and Marley engaged in trade but also symbolizes their limited worldview.""The Counting-house is the place where Scrooge conducted his business and represents the limitations of his previous life.""The Counting-house is the place where Scrooge conducted his business and represents the limitations of his previous life."', 'source_id': 'chunk-74e2466de2f67fd710ef2f20c0a8d9e0chunk-359187e7571bda4b0b08b2e0b6581e52'} +2024-10-30 05:39:33,453 - lightrag - INFO - get_node:query:MATCH (n:`BEGGARS`) RETURN n:result: +2024-10-30 05:39:33,592 - lightrag - INFO - _do_upsert:query: + MERGE (n:`BEGGARS`) + SET n += $properties + RETURN n + :result:{'entity_type': '"PERSON"', 'description': '"Beggars are individuals who implore Scrooge for charity, symbolizing the lack of compassion and generosity in his character."', 'source_id': 'chunk-74e2466de2f67fd710ef2f20c0a8d9e0'} +2024-10-30 05:39:33,723 - lightrag - INFO - get_node:query:MATCH (n:`CHILDREN`) RETURN n:result:"The Children represent innocence and purity, highlighted as victims of societal neglect and calling for compassion from Scrooge.""The Children represent the joyful, carefree aspects of Scrooge\'s past, embodying happiness and the innocence of youth that he has long forgotten.""The Children represent innocence and the impact of societal neglect, embodied by Ignorance and Want as personified by the Spirit."', 'source_id': 'chunk-74e2466de2f67fd710ef2f20c0a8d9e0chunk-bb21d58d36c6306fd8810ddd51c4a971chunk-e7637ff18c5ded77a68cce0a87883fad'}> +2024-10-30 05:39:33,870 - lightrag - INFO - _do_upsert:query: + MERGE (n:`CHILDREN`) + SET n += $properties + RETURN n + :result:{'entity_type': '"PERSON"', 'description': '"Children represent innocence and joy, often seen as seeking affection and connection with adults like Scrooge.""Children represent innocence and joy, often seen as seeking affection and connection with adults like Scrooge.""The Children represent innocence and purity, highlighted as victims of societal neglect and calling for compassion from Scrooge.""The Children represent the joyful, carefree aspects of Scrooge\'s past, embodying happiness and the innocence of youth that he has long forgotten.""The Children represent innocence and the impact of societal neglect, embodied by Ignorance and Want as personified by the Spirit.""The Children represent innocence and the impact of societal neglect, embodied by Ignorance and Want as personified by the Spirit."', 'source_id': 'chunk-74e2466de2f67fd710ef2f20c0a8d9e0chunk-bb21d58d36c6306fd8810ddd51c4a971chunk-e7637ff18c5ded77a68cce0a87883fad'} +2024-10-30 05:39:34,006 - lightrag - INFO - get_node:query:MATCH (n:`COLD WEATHER`) RETURN n:result:"Cold Weather sets the bleak and unforgiving atmosphere, reflecting Scrooge’s own personality and state of mind."', 'source_id': 'chunk-74e2466de2f67fd710ef2f20c0a8d9e0chunk-f1a4fbcf1ed86864b9bfd5e8dba4c683'}> +2024-10-30 05:39:34,147 - lightrag - INFO - _do_upsert:query: + MERGE (n:`COLD WEATHER`) + SET n += $properties + RETURN n + :result:{'entity_type': '"GEO"', 'description': '"Cold Weather is noted in the conversation between the businessmen, serving as a backdrop to their trivial interactions.""Cold Weather sets the bleak and unforgiving atmosphere, reflecting Scrooge’s own personality and state of mind.""Cold Weather sets the bleak and unforgiving atmosphere, reflecting Scrooge’s own personality and state of mind."', 'source_id': 'chunk-74e2466de2f67fd710ef2f20c0a8d9e0chunk-f1a4fbcf1ed86864b9bfd5e8dba4c683'} +2024-10-30 05:39:34,280 - lightrag - INFO - get_node:query:MATCH (n:`FOG`) RETURN n:result:"Fog is a weather phenomenon that adds to the bleak atmosphere, reflecting the obscurity and confusion in Scrooge\'s life.""Fog represents the obscured visibility and confusion in Scrooge\'s surroundings, enhancing the atmosphere of uncertainty and apprehension.""Fog represents the obscurity and isolation in the environment, mirroring Scrooge’s emotional distance and isolation from society."', 'source_id': 'chunk-74e2466de2f67fd710ef2f20c0a8d9e0chunk-d9aac3484185ac66045df92214d245d5chunk-c7b10789a9cb0af6c553730b29bd9034'}> +2024-10-30 05:39:34,417 - lightrag - INFO - _do_upsert:query: + MERGE (n:`FOG`) + SET n += $properties + RETURN n + :result:{'entity_type': '"GEO"', 'description': '"Fog is a weather condition mentioned that enhances the dreary atmosphere surrounding Scrooge\'s home and workplace.""Fog is a weather phenomenon that adds to the bleak atmosphere, reflecting the obscurity and confusion in Scrooge\'s life.""Fog represents the obscured visibility and confusion in Scrooge\'s surroundings, enhancing the atmosphere of uncertainty and apprehension.""Fog represents the obscurity and isolation in the environment, mirroring Scrooge’s emotional distance and isolation from society.""Fog represents the obscured visibility and confusion in Scrooge\'s surroundings, enhancing the atmosphere of uncertainty and apprehension.""Fog represents the obscurity and isolation in the environment, mirroring Scrooge’s emotional distance and isolation from society."', 'source_id': 'chunk-74e2466de2f67fd710ef2f20c0a8d9e0chunk-c7b10789a9cb0af6c553730b29bd9034chunk-d9aac3484185ac66045df92214d245d5'} +2024-10-30 05:39:34,555 - lightrag - INFO - get_node:query:MATCH (n:`COURT`) RETURN n:result: +2024-10-30 05:39:34,701 - lightrag - INFO - _do_upsert:query: + MERGE (n:`COURT`) + SET n += $properties + RETURN n + :result:{'entity_type': '"GEO"', 'description': '"The Court is a location described as a space outside Scrooge\'s office where people pass by, emphasizing the contrast between Scrooge\'s inside world and the outside social interactions."', 'source_id': 'chunk-74e2466de2f67fd710ef2f20c0a8d9e0'} +2024-10-30 05:39:34,834 - lightrag - INFO - get_node:query:MATCH (n:`SCROOGE AND MARLEY'S`) RETURN n:result: +2024-10-30 05:39:34,974 - lightrag - INFO - _do_upsert:query: + MERGE (n:`SCROOGE AND MARLEY'S`) + SET n += $properties + RETURN n + :result:{'entity_type': '"ORGANIZATION"', 'description': '"Scrooge and Marley\'s is the name of the business run by Scrooge, signifying a partnership that existed before Marley’s death."', 'source_id': 'chunk-5dac41b3f9eeaf794f0147400b1718cd'} +2024-10-30 05:39:35,110 - lightrag - INFO - get_node:query:MATCH (n:`CLERK`) RETURN n:result:"The Clerk is an unnamed character who serves Scrooge, exhibiting a hopeful disposition despite Scrooge\'s ill-tempered management."', 'source_id': 'chunk-5dac41b3f9eeaf794f0147400b1718cdchunk-d9aac3484185ac66045df92214d245d5'}> +2024-10-30 05:39:35,248 - lightrag - INFO - _do_upsert:query: + MERGE (n:`CLERK`) + SET n += $properties + RETURN n + :result:{'entity_type': '"PERSON"', 'description': '"The Clerk is a minor character who provides a contrast to Scrooge\'s character, expressing warmth and kindness during the holiday season.""The Clerk is a minor character who provides a contrast to Scrooge\'s character, expressing warmth and kindness during the holiday season.""The Clerk is an unnamed character who serves Scrooge, exhibiting a hopeful disposition despite Scrooge\'s ill-tempered management."', 'source_id': 'chunk-d9aac3484185ac66045df92214d245d5chunk-5dac41b3f9eeaf794f0147400b1718cd'} +2024-10-30 05:39:35,387 - lightrag - INFO - get_node:query:MATCH (n:`THE GENTLEMEN`) RETURN n:result: +2024-10-30 05:39:35,523 - lightrag - INFO - _do_upsert:query: + MERGE (n:`THE GENTLEMEN`) + SET n += $properties + RETURN n + :result:{'entity_type': '"ORGANIZATION"', 'description': '"The Gentlemen are portrayed as representatives who arrive at Scrooge\'s office to collect donations for the poor during Christmas."', 'source_id': 'chunk-5dac41b3f9eeaf794f0147400b1718cd'} +2024-10-30 05:39:35,662 - lightrag - INFO - get_node:query:MATCH (n:`POOR AND DESTITUTE`) RETURN n:result: +2024-10-30 05:39:35,802 - lightrag - INFO - _do_upsert:query: + MERGE (n:`POOR AND DESTITUTE`) + SET n += $properties + RETURN n + :result:{'entity_type': '"CONCEPT"', 'description': '"The Poor and Destitute refer to those in need, highlighting the themes of charity and social responsibility that are emphasized during the Christmas season."', 'source_id': 'chunk-5dac41b3f9eeaf794f0147400b1718cd'} +2024-10-30 05:39:35,935 - lightrag - INFO - get_node:query:MATCH (n:`CHRISTMAS-TIME`) RETURN n:result:"Christmas-time is characterized as a period filled with festivities, joy, and community engagement, which Scrooge regards cynically.""Christmas-time represents the festive season, a recurring theme that evokes memories and emotions in Scrooge’s reflections.""Christmas-time serves as a backdrop for the narrative, emphasizing themes of reflection, mortality, and social interactions.""Christmas-time symbolizes a period of joy and reunion, characterized by scenes of celebration and warmth in the story."', 'source_id': 'chunk-c6c248858d1b13ab7ee9ca13c1aeed6bchunk-5dac41b3f9eeaf794f0147400b1718cdchunk-f1a4fbcf1ed86864b9bfd5e8dba4c683'}> +2024-10-30 05:39:36,073 - lightrag - INFO - _do_upsert:query: + MERGE (n:`CHRISTMAS-TIME`) + SET n += $properties + RETURN n + :result:{'entity_type': '"EVENT"', 'description': '"Christmas-Time refers to the period surrounding Christmas, laden with connotations of joy, generosity, and family gatherings, which Scrooge vehemently criticizes.""Christmas-Time refers to the period surrounding Christmas, laden with connotations of joy, generosity, and family gatherings, which Scrooge vehemently criticizes.""Christmas-time is characterized as a period filled with festivities, joy, and community engagement, which Scrooge regards cynically.""Christmas-time represents the festive season, a recurring theme that evokes memories and emotions in Scrooge’s reflections.""Christmas-time serves as a backdrop for the narrative, emphasizing themes of reflection, mortality, and social interactions.""Christmas-time symbolizes a period of joy and reunion, characterized by scenes of celebration and warmth in the story.""Christmas-time symbolizes a period of joy and reunion, characterized by scenes of celebration and warmth in the story."', 'source_id': 'chunk-c6c248858d1b13ab7ee9ca13c1aeed6bchunk-f1a4fbcf1ed86864b9bfd5e8dba4c683chunk-5dac41b3f9eeaf794f0147400b1718cd'} +2024-10-30 05:39:36,207 - lightrag - INFO - get_node:query:MATCH (n:`BEDLAM`) RETURN n:result:"Bedlam is referenced as a metaphorical place for madness, illustrating Scrooge\'s disdain for the cheerful nature of Christmas and his sense of isolation."', 'source_id': 'chunk-5dac41b3f9eeaf794f0147400b1718cd'}> +2024-10-30 05:39:36,351 - lightrag - INFO - _do_upsert:query: + MERGE (n:`BEDLAM`) + SET n += $properties + RETURN n + :result:{'entity_type': '"GEO"', 'description': '"Bedlam is referenced as a metaphorical expression of madness, illustrating Scrooge\'s disdain for cheerful attitudes he finds absurd.""Bedlam is referenced as a metaphorical expression of madness, illustrating Scrooge\'s disdain for cheerful attitudes he finds absurd.""Bedlam is referenced as a metaphorical place for madness, illustrating Scrooge\'s disdain for the cheerful nature of Christmas and his sense of isolation."', 'source_id': 'chunk-5dac41b3f9eeaf794f0147400b1718cd'} +2024-10-30 05:39:36,488 - lightrag - INFO - get_node:query:MATCH (n:`THE GENTLEMAN`) RETURN n:result:"The Gentleman is a character who advocates for helping the poor and trying to raise a fund for those in need during Christmas."', 'source_id': 'chunk-90d5764e301321c087f5a8f78b73a145'}> +2024-10-30 05:39:36,630 - lightrag - INFO - _do_upsert:query: + MERGE (n:`THE GENTLEMAN`) + SET n += $properties + RETURN n + :result:{'entity_type': '"PERSON"', 'description': '"The Gentleman is a character attempting to persuade Scrooge to contribute to charity for the poor during Christmas.""The Gentleman is a character attempting to persuade Scrooge to contribute to charity for the poor during Christmas.""The Gentleman is a character who advocates for helping the poor and trying to raise a fund for those in need during Christmas."', 'source_id': 'chunk-90d5764e301321c087f5a8f78b73a145'} +2024-10-30 05:39:36,766 - lightrag - INFO - get_node:query:MATCH (n:`THE POOR LAW`) RETURN n:result: +2024-10-30 05:39:36,912 - lightrag - INFO - _do_upsert:query: + MERGE (n:`THE POOR LAW`) + SET n += $properties + RETURN n + :result:{'entity_type': '"ORGANIZATION"', 'description': '"The Poor Law refers to a governmental system in place intended to support the impoverished, which Scrooge references to indicate his views on responsibility and charity."', 'source_id': 'chunk-90d5764e301321c087f5a8f78b73a145'} +2024-10-30 05:39:37,049 - lightrag - INFO - get_node:query:MATCH (n:`THE UNION WORKHOUSES`) RETURN n:result:"The Union Workhouses are institutions mentioned as a means of supporting the poor, still operational during Scrooge\'s time."', 'source_id': 'chunk-90d5764e301321c087f5a8f78b73a145'}> +2024-10-30 05:39:37,188 - lightrag - INFO - _do_upsert:query: + MERGE (n:`THE UNION WORKHOUSES`) + SET n += $properties + RETURN n + :result:{'entity_type': '"ORGANIZATION"', 'description': '"The Union Workhouses are facilities that provide aid to the poor, still operational as confirmed by the Gentleman during the discussion with Scrooge.""The Union Workhouses are facilities that provide aid to the poor, still operational as confirmed by the Gentleman during the discussion with Scrooge.""The Union Workhouses are institutions mentioned as a means of supporting the poor, still operational during Scrooge\'s time."', 'source_id': 'chunk-90d5764e301321c087f5a8f78b73a145'} +2024-10-30 05:39:37,321 - lightrag - INFO - get_node:query:MATCH (n:`THE MANSION HOUSE`) RETURN n:result:"The Mansion House is the official residence of the Lord Mayor, where festive preparations for Christmas are being made."', 'source_id': 'chunk-90d5764e301321c087f5a8f78b73a145'}> +2024-10-30 05:39:37,457 - lightrag - INFO - _do_upsert:query: + MERGE (n:`THE MANSION HOUSE`) + SET n += $properties + RETURN n + :result:{'entity_type': '"LOCATION"', 'description': '"The Mansion House is identified as the residence of the Lord Mayor, a place associated with Christmas festivities and order.""The Mansion House is the official residence of the Lord Mayor, where festive preparations for Christmas are being made.""The Mansion House is the official residence of the Lord Mayor, where festive preparations for Christmas are being made."', 'source_id': 'chunk-90d5764e301321c087f5a8f78b73a145'} +2024-10-30 05:39:37,592 - lightrag - INFO - get_node:query:MATCH (n:`THE POOR`) RETURN n:result:"The Poor refers to the individuals in society who are destitute and in need of assistance, often highlighted in discussions about charity during Christmas."', 'source_id': 'chunk-90d5764e301321c087f5a8f78b73a145'}> +2024-10-30 05:39:37,730 - lightrag - INFO - _do_upsert:query: + MERGE (n:`THE POOR`) + SET n += $properties + RETURN n + :result:{'entity_type': '"PERSON"', 'description': '"The Poor refer to those individuals in society who face economic hardship and are in need of help, as indicated by their absence from the workhouses and their desperate circumstances during the festive season.""The Poor refer to those individuals in society who face economic hardship and are in need of help, as indicated by their absence from the workhouses and their desperate circumstances during the festive season.""The Poor refers to the individuals in society who are destitute and in need of assistance, often highlighted in discussions about charity during Christmas."', 'source_id': 'chunk-90d5764e301321c087f5a8f78b73a145'} +2024-10-30 05:39:37,866 - lightrag - INFO - get_node:query:MATCH (n:`SCROOGE'S COUNTING-HOUSE`) RETURN n:result: +2024-10-30 05:39:38,003 - lightrag - INFO - _do_upsert:query: + MERGE (n:`SCROOGE'S COUNTING-HOUSE`) + SET n += $properties + RETURN n + :result:{'entity_type': '"LOCATION"', 'description': '"Scrooge\'s Counting-House is the workspace of Scrooge where he conducts his business, symbolizing his frugality and solitary nature."', 'source_id': 'chunk-90d5764e301321c087f5a8f78b73a145'} +2024-10-30 05:39:38,135 - lightrag - INFO - get_node:query:MATCH (n:`THE LORD MAYOR`) RETURN n:result:"The Lord Mayor oversees the festivities during Christmas at the Mansion House, representing authority and public celebration."', 'source_id': 'chunk-90d5764e301321c087f5a8f78b73a145'}> +2024-10-30 05:39:38,272 - lightrag - INFO - _do_upsert:query: + MERGE (n:`THE LORD MAYOR`) + SET n += $properties + RETURN n + :result:{'entity_type': '"PERSON"', 'description': '"The Lord Mayor is a civic leader responsible for overseeing Christmas festivities and ensuring proper celebrations in the town.""The Lord Mayor oversees the festivities during Christmas at the Mansion House, representing authority and public celebration.""The Lord Mayor oversees the festivities during Christmas at the Mansion House, representing authority and public celebration."', 'source_id': 'chunk-90d5764e301321c087f5a8f78b73a145'} +2024-10-30 05:39:38,408 - lightrag - INFO - get_node:query:MATCH (n:`CHRISTMAS PUDDING`) RETURN n:result:"The Christmas Pudding is a significant dish prepared by Mrs. Cratchit, symbolizing the family\'s festive celebration and unity."', 'source_id': 'chunk-503f0bfa5453467c7c61d160a3540ecachunk-90d5764e301321c087f5a8f78b73a145'}> +2024-10-30 05:39:38,543 - lightrag - INFO - _do_upsert:query: + MERGE (n:`CHRISTMAS PUDDING`) + SET n += $properties + RETURN n + :result:{'entity_type': '"EVENT"', 'description': '"Christmas Pudding is a dish being prepared for the festive celebration, embodying the spirit of Christmas and family gatherings.""Christmas Pudding is a dish being prepared for the festive celebration, embodying the spirit of Christmas and family gatherings.""The Christmas Pudding is a significant dish prepared by Mrs. Cratchit, symbolizing the family\'s festive celebration and unity."', 'source_id': 'chunk-503f0bfa5453467c7c61d160a3540ecachunk-90d5764e301321c087f5a8f78b73a145'} +2024-10-30 05:39:38,677 - lightrag - INFO - get_node:query:MATCH (n:`THE GAS-PIPES`) RETURN n:result:"The Gas-pipes are mentioned as undergoing repairs in The Main Street, indicating the infrastructure\'s role in the community during winter."', 'source_id': 'chunk-90d5764e301321c087f5a8f78b73a145'}> +2024-10-30 05:39:38,820 - lightrag - INFO - _do_upsert:query: + MERGE (n:`THE GAS-PIPES`) + SET n += $properties + RETURN n + :result:{'entity_type': '"ORGANIZATION"', 'description': '"The Gas-Pipes represent the infrastructure of the city, which signifies the industrial and economic activity during the cold winter season.""The Gas-Pipes represent the infrastructure of the city, which signifies the industrial and economic activity during the cold winter season.""The Gas-pipes are mentioned as undergoing repairs in The Main Street, indicating the infrastructure\'s role in the community during winter."', 'source_id': 'chunk-90d5764e301321c087f5a8f78b73a145'} +2024-10-30 05:39:38,956 - lightrag - INFO - get_node:query:MATCH (n:`THE CHURCH`) RETURN n:result:"The Church is a place Scrooge visits, indicating his desire to engage in the Christmas spirit and community.""The Church is a place referenced in the context of the community\'s sentiments toward Christmas and social welfare."', 'source_id': 'chunk-cb661c37436355ccec2769b1d0350c5fchunk-8f738cb25d60a7dab782162d9d0a25edchunk-90d5764e301321c087f5a8f78b73a145'}> +2024-10-30 05:39:39,094 - lightrag - INFO - _do_upsert:query: + MERGE (n:`THE CHURCH`) + SET n += $properties + RETURN n + :result:{'entity_type': '"ORGANIZATION"', 'description': '"The Church is a location from where the clock chimes are heard, marking the passage of time and contributing to the atmosphere of the scene.""The Church is a location from where the clock chimes are heard, marking the passage of time and contributing to the atmosphere of the scene.""The Church is a place Scrooge visits, indicating his desire to engage in the Christmas spirit and community.""The Church is a place referenced in the context of the community\'s sentiments toward Christmas and social welfare.""The Church is a place referenced in the context of the community\'s sentiments toward Christmas and social welfare."', 'source_id': 'chunk-8f738cb25d60a7dab782162d9d0a25edchunk-cb661c37436355ccec2769b1d0350c5fchunk-90d5764e301321c087f5a8f78b73a145'} +2024-10-30 05:39:39,231 - lightrag - INFO - get_node:query:MATCH (n:`THE CRATCHIT FAMILY`) RETURN n:result:"The Cratchit Family consists of Bob, Mrs. Cratchit, and their children, highlighting themes of familial love and support amidst hardship.""The Cratchit Family is a close-knit family depicted in the text, characterized by love and warmth, celebrating Christmas together despite their difficulties.""The Cratchit Family represents a typical struggling family in the text, highlighting the theme of social disparity during Christmas."', 'source_id': 'chunk-503f0bfa5453467c7c61d160a3540ecachunk-1d4b58de5429cd1261370c231c8673e8chunk-90d5764e301321c087f5a8f78b73a145'}> +2024-10-30 05:39:39,367 - lightrag - INFO - _do_upsert:query: + MERGE (n:`THE CRATCHIT FAMILY`) + SET n += $properties + RETURN n + :result:{'entity_type': '"ORGANIZATION"', 'description': '"The Cratchit Family consists of Bob, Mrs. Cratchit, Tiny Tim, and their children, characterized by their strong familial bonds and love for one another despite financial struggles.""The Cratchit Family consists of Bob, Mrs. Cratchit, Tiny Tim, and their children, characterized by their strong familial bonds and love for one another despite financial struggles.""The Cratchit Family consists of Bob, Mrs. Cratchit, and their children, highlighting themes of familial love and support amidst hardship.""The Cratchit Family is a close-knit family depicted in the text, characterized by love and warmth, celebrating Christmas together despite their difficulties.""The Cratchit Family represents a typical struggling family in the text, highlighting the theme of social disparity during Christmas.""The Cratchit Family is a close-knit family depicted in the text, characterized by love and warmth, celebrating Christmas together despite their difficulties.""The Cratchit Family represents a typical struggling family in the text, highlighting the theme of social disparity during Christmas."', 'source_id': 'chunk-503f0bfa5453467c7c61d160a3540ecachunk-1d4b58de5429cd1261370c231c8673e8chunk-90d5764e301321c087f5a8f78b73a145'} +2024-10-30 05:39:39,502 - lightrag - INFO - get_node:query:MATCH (n:`CHRISTMAS EVE`) RETURN n:result:"Christmas Eve is depicted as a significant time, bringing about joyful activities like sliding down snow hills, contrasting with Scrooge\'s dour demeanor.""Christmas Eve is the night before Christmas, serving as the backdrop for the lively celebrations and dances hosted by Fezziwig.""Christmas Eve is the specific time setting in the story, highlighting the contrast between the joy of the holiday and Scrooge\'s negativity.""Christmas Eve is the day prior to Christmas, a time that carries festive significance and anticipation in the narrative."', 'source_id': 'chunk-74e2466de2f67fd710ef2f20c0a8d9e0chunk-8bc1edd983869352d14cf0886a9175a7chunk-d9aac3484185ac66045df92214d245d5'}> +2024-10-30 05:39:39,642 - lightrag - INFO - _do_upsert:query: + MERGE (n:`CHRISTMAS EVE`) + SET n += $properties + RETURN n + :result:{'entity_type': '"EVENT"', 'description': '"Christmas Eve is a significant time in the story, marked by celebrations and gatherings led by Fezziwig.""Christmas Eve is a significant time in the story, marked by celebrations and gatherings led by Fezziwig.""Christmas Eve is depicted as a significant time, bringing about joyful activities like sliding down snow hills, contrasting with Scrooge\'s dour demeanor.""Christmas Eve is the night before Christmas, serving as the backdrop for the lively celebrations and dances hosted by Fezziwig.""Christmas Eve is the specific time setting in the story, highlighting the contrast between the joy of the holiday and Scrooge\'s negativity.""Christmas Eve is the day prior to Christmas, a time that carries festive significance and anticipation in the narrative.""Christmas Eve is the day prior to Christmas, a time that carries festive significance and anticipation in the narrative."', 'source_id': 'chunk-74e2466de2f67fd710ef2f20c0a8d9e0chunk-8bc1edd983869352d14cf0886a9175a7chunk-d9aac3484185ac66045df92214d245d5'} +2024-10-30 05:39:39,779 - lightrag - INFO - get_node:query:MATCH (n:`CAMDEN TOWN`) RETURN n:result:"Camden Town is a location mentioned in relation to the logistics of transporting a large turkey.""Camden Town is a location where Bob Cratchit runs home to celebrate Christmas Eve, representing a more joyful and lively setting.""Camden Town is mentioned as a location related to the transportation of a turkey in a humorous context during the holiday season."', 'source_id': 'chunk-d9aac3484185ac66045df92214d245d5chunk-8f738cb25d60a7dab782162d9d0a25ed'}> +2024-10-30 05:39:39,917 - lightrag - INFO - _do_upsert:query: + MERGE (n:`CAMDEN TOWN`) + SET n += $properties + RETURN n + :result:{'entity_type': '"GEO"', 'description': '"Camden Town is a location mentioned as Bob Cratchit\'s home, highlighting the setting of his personal life.""Camden Town is a location mentioned as Bob Cratchit\'s home, highlighting the setting of his personal life.""Camden Town is a location mentioned in relation to the logistics of transporting a large turkey.""Camden Town is a location where Bob Cratchit runs home to celebrate Christmas Eve, representing a more joyful and lively setting.""Camden Town is mentioned as a location related to the transportation of a turkey in a humorous context during the holiday season.""Camden Town is mentioned as a location related to the transportation of a turkey in a humorous context during the holiday season."', 'source_id': 'chunk-8f738cb25d60a7dab782162d9d0a25edchunk-d9aac3484185ac66045df92214d245d5'} +2024-10-30 05:39:40,053 - lightrag - INFO - get_node:query:MATCH (n:`THE COUNTING-HOUSE`) RETURN n:result:"The Counting-House is where Scrooge works and is characterized by its cold and unwelcoming environment.""The Counting-House is the place where Scrooge works, reflecting a business environment lacking warmth or joy."', 'source_id': 'chunk-74e2466de2f67fd710ef2f20c0a8d9e0chunk-d9aac3484185ac66045df92214d245d5'}> +2024-10-30 05:39:40,191 - lightrag - INFO - _do_upsert:query: + MERGE (n:`THE COUNTING-HOUSE`) + SET n += $properties + RETURN n + :result:{'entity_type': '"ORGANIZATION"', 'description': '"The Counting-House is Scrooge\'s place of work, characterized by a gloomy demeanor and an atmosphere that reflects Scrooge\'s character.""The Counting-House is where Scrooge works and is characterized by its cold and unwelcoming environment.""The Counting-House is the place where Scrooge works, reflecting a business environment lacking warmth or joy.""The Counting-House is the place where Scrooge works, reflecting a business environment lacking warmth or joy."', 'source_id': 'chunk-74e2466de2f67fd710ef2f20c0a8d9e0chunk-d9aac3484185ac66045df92214d245d5'} +2024-10-30 05:39:40,329 - lightrag - INFO - get_node:query:MATCH (n:`THE KNOCKER`) RETURN n:result:"The Knocker is a physical object that becomes a symbol of Scrooge\'s psyche, transforming into Marley\'s face, representing his guilt and past.""The Knocker is an ornate door knocker that Scrooge admires, reflecting his newfound appreciation for simple joys.""The Knocker on the door serves as a symbolic gateway to the supernatural events, being the first point of eerie interaction for Scrooge.""The Knocker is a physical object that symbolizes Scrooge\'s newfound appreciation for the simple, honest joys of life during Christmas."', 'source_id': 'chunk-9c43dac2fcd5b578242d907ea6f8fc7bchunk-d9aac3484185ac66045df92214d245d5chunk-8f738cb25d60a7dab782162d9d0a25ed'}> +2024-10-30 05:39:40,470 - lightrag - INFO - _do_upsert:query: + MERGE (n:`THE KNOCKER`) + SET n += $properties + RETURN n + :result:{'entity_type': '"ORGANIZATION"', 'description': '"The Knocker is a feature on Scrooge\'s door, which takes on a mystical quality when Scrooge perceives Marley\'s face in it.""The Knocker is a feature on Scrooge\'s door, which takes on a mystical quality when Scrooge perceives Marley\'s face in it.""The Knocker is a physical object that becomes a symbol of Scrooge\'s psyche, transforming into Marley\'s face, representing his guilt and past.""The Knocker is an ornate door knocker that Scrooge admires, reflecting his newfound appreciation for simple joys.""The Knocker on the door serves as a symbolic gateway to the supernatural events, being the first point of eerie interaction for Scrooge.""The Knocker is a physical object that symbolizes Scrooge\'s newfound appreciation for the simple, honest joys of life during Christmas.""The Knocker is a physical object that symbolizes Scrooge\'s newfound appreciation for the simple, honest joys of life during Christmas."', 'source_id': 'chunk-8f738cb25d60a7dab782162d9d0a25edchunk-d9aac3484185ac66045df92214d245d5chunk-9c43dac2fcd5b578242d907ea6f8fc7b'} +2024-10-30 05:39:40,603 - lightrag - INFO - get_node:query:MATCH (n:`THE COUNTING-HOUSE CLERK`) RETURN n:result: +2024-10-30 05:39:40,742 - lightrag - INFO - _do_upsert:query: + MERGE (n:`THE COUNTING-HOUSE CLERK`) + SET n += $properties + RETURN n + :result:{'entity_type': '"PERSON"', 'description': '"The Counting-House Clerk is an unnamed character who interacts with Scrooge, representing the workforce under Scrooge\'s employment."', 'source_id': 'chunk-d9aac3484185ac66045df92214d245d5'} +2024-10-30 05:39:40,881 - lightrag - INFO - get_node:query:MATCH (n:`THE CANDLE`) RETURN n:result:"The Candle represents a source of light in Scrooge\'s dark life, emphasizing the contrast between warmth and isolation."', 'source_id': 'chunk-9c43dac2fcd5b578242d907ea6f8fc7bchunk-d9aac3484185ac66045df92214d245d5'}> +2024-10-30 05:39:41,017 - lightrag - INFO - _do_upsert:query: + MERGE (n:`THE CANDLE`) + SET n += $properties + RETURN n + :result:{'entity_type': '"TECHNOLOGY"', 'description': '"The Candle is a source of light that Scrooge lights as he enters his home, symbolizing the struggle against darkness and isolation.""The Candle is a source of light that Scrooge lights as he enters his home, symbolizing the struggle against darkness and isolation.""The Candle represents a source of light in Scrooge\'s dark life, emphasizing the contrast between warmth and isolation."', 'source_id': 'chunk-d9aac3484185ac66045df92214d245d5chunk-9c43dac2fcd5b578242d907ea6f8fc7b'} +2024-10-30 05:39:41,149 - lightrag - INFO - get_node:query:MATCH (n:`THE YARD`) RETURN n:result: +2024-10-30 05:39:41,286 - lightrag - INFO - _do_upsert:query: + MERGE (n:`THE YARD`) + SET n += $properties + RETURN n + :result:{'entity_type': '"GEO"', 'description': '"The Yard refers to the dark and gloomy space behind Scrooge\'s residence, creating an atmosphere of loneliness and despair."', 'source_id': 'chunk-d9aac3484185ac66045df92214d245d5'} +2024-10-30 05:39:41,418 - lightrag - INFO - get_node:query:MATCH (n:`THE FOG AND FROST`) RETURN n:result: +2024-10-30 05:39:41,557 - lightrag - INFO - _do_upsert:query: + MERGE (n:`THE FOG AND FROST`) + SET n += $properties + RETURN n + :result:{'entity_type': '"CONCEPT"', 'description': '"The Fog and Frost symbolize the coldness and obscurity surrounding Scrooge\'s life and mindset, enhancing the gloomy atmosphere."', 'source_id': 'chunk-d9aac3484185ac66045df92214d245d5'} +2024-10-30 05:39:41,689 - lightrag - INFO - get_node:query:MATCH (n:`THE GHOST OF MARLEY`) RETURN n:result:"The Ghost of Marley refers to the apparition that appears to Scrooge, serving as a catalyst for his transformation and moral reckoning."', 'source_id': 'chunk-d9aac3484185ac66045df92214d245d5'}> +2024-10-30 05:39:41,827 - lightrag - INFO - _do_upsert:query: + MERGE (n:`THE GHOST OF MARLEY`) + SET n += $properties + RETURN n + :result:{'entity_type': '"EVENT"', 'description': '"The Ghost of Marley is an event that is anticipated in the narrative, representing Scrooge\'s confrontation with his past and the supernatural.""The Ghost of Marley refers to the apparition that appears to Scrooge, serving as a catalyst for his transformation and moral reckoning.""The Ghost of Marley refers to the apparition that appears to Scrooge, serving as a catalyst for his transformation and moral reckoning."', 'source_id': 'chunk-d9aac3484185ac66045df92214d245d5'} +2024-10-30 05:39:41,962 - lightrag - INFO - get_node:query:MATCH (n:`LONDON`) RETURN n:result:"London serves as the general setting for the story, although its specific mention relates to an animal in the context of a game.""London serves as the geographical setting for the story, encapsulating the harsh winter atmosphere and the life of its inhabitants during the festive season.""London serves as the setting where the events take place, adding a cultural backdrop to the Christmas gathering.""London serves as the setting for the story, highlighting the bustling yet isolating environment in which Scrooge lives."', 'source_id': 'chunk-e7637ff18c5ded77a68cce0a87883fadchunk-d9aac3484185ac66045df92214d245d5chunk-43c9bee23adfa77aa9dedd22401bba7d'}> +2024-10-30 05:39:42,107 - lightrag - INFO - _do_upsert:query: + MERGE (n:`LONDON`) + SET n += $properties + RETURN n + :result:{'entity_type': '"GEO"', 'description': '"London is the city where the narrative takes place, representing a central location in the story.""London is the city where the narrative takes place, representing a central location in the story.""London serves as the general setting for the story, although its specific mention relates to an animal in the context of a game.""London serves as the geographical setting for the story, encapsulating the harsh winter atmosphere and the life of its inhabitants during the festive season.""London serves as the setting where the events take place, adding a cultural backdrop to the Christmas gathering.""London serves as the setting for the story, highlighting the bustling yet isolating environment in which Scrooge lives.""London serves as the general setting for the story, although its specific mention relates to an animal in the context of a game.""London serves as the setting for the story, highlighting the bustling yet isolating environment in which Scrooge lives."', 'source_id': 'chunk-43c9bee23adfa77aa9dedd22401bba7dchunk-d9aac3484185ac66045df92214d245d5chunk-e7637ff18c5ded77a68cce0a87883fad'} +2024-10-30 05:39:42,242 - lightrag - INFO - get_node:query:MATCH (n:`THE HOUSE`) RETURN n:result:"The House is the setting for the Christmas celebration and interactions among the characters, embodying warmth and family togetherness.""The House is the setting where Scrooge experiences the haunting, with a description of its features contributing to the eerie atmosphere."', 'source_id': 'chunk-9c43dac2fcd5b578242d907ea6f8fc7bchunk-da2472b4ef2a535b62908f14d0fb0ca9'}> +2024-10-30 05:39:42,378 - lightrag - INFO - _do_upsert:query: + MERGE (n:`THE HOUSE`) + SET n += $properties + RETURN n + :result:{'entity_type': '"GEO"', 'description': '"The House is the setting for Scrooge\'s encounters, characterized by its darkness, the creaking sounds, and the presence of the ghost.""The House is the setting for Scrooge\'s encounters, characterized by its darkness, the creaking sounds, and the presence of the ghost.""The House is the setting for the Christmas celebration and interactions among the characters, embodying warmth and family togetherness.""The House is the setting where Scrooge experiences the haunting, with a description of its features contributing to the eerie atmosphere."', 'source_id': 'chunk-da2472b4ef2a535b62908f14d0fb0ca9chunk-9c43dac2fcd5b578242d907ea6f8fc7b'} +2024-10-30 05:39:42,516 - lightrag - INFO - get_node:query:MATCH (n:`THE GHOST`) RETURN n:result:"The Ghost is a supernatural entity that shows Scrooge scenes from his past to provoke realization and remorse.""The Ghost refers specifically to the supernatural presence guiding Scrooge through his reflections and past experiences.""The Ghost represents the spirit of Jacob Marley, warning Scrooge about the aftereffects of neglecting human virtue and kindness during life.""The Ghost represents various spectral entities that visit Scrooge to facilitate his transformation by highlighting the consequences of his actions.""The Ghost serves as a guiding presence that helps Scrooge confront and reflect on his past during Christmas.""The Ghost is a supernatural being that interacts with Scrooge, helping him to confront his past and evoke emotions connected to Christmas.""The Ghost is a supernatural figure that guides Scrooge through his experiences, showing him the joys of family and the significance of Christmas.""The Ghost is described as a strange figure with qualities of both a child and an old man, representing the supernatural intervention in Scrooge\'s life.""The Ghost refers to the Spirit who guides Scrooge through his journey, embodying themes of change, redemption, and moral lessons.""The Ghost refers to the apparition of Marley, which instills dread in Scrooge and symbolizes the theme of redemption.""The Ghost represents a spectral figure guiding Scrooge through his past, serving as a catalyst for self-reflection and transformation.""The Ghost represents a supernatural entity that shows Scrooge various scenes from his life, influencing his emotional state and ultimate redemption.""The Ghost represents the specter of Jacob Marley, who visits Scrooge to deliver an important message regarding his life and the impending visits of three spirits.""The Ghost serves as a supernatural guide for Scrooge, revealing lessons about kindness, death, and the emotional repercussions of one\'s actions."', 'source_id': 'chunk-e7637ff18c5ded77a68cce0a87883fadchunk-c7b10789a9cb0af6c553730b29bd9034chunk-c6c248858d1b13ab7ee9ca13c1aeed6bchunk-83ac129dc9b56f84c46760d153d68e93chunk-8590d9263cd2cd4fa583c432fc54e6c3chunk-43c9bee23adfa77aa9dedd22401bba7dchunk-da2472b4ef2a535b62908f14d0fb0ca9chunk-02baee20cc9463dbe08170a8e1043e32chunk-359187e7571bda4b0b08b2e0b6581e52chunk-54bdd22db1f84a965b5f4c06c9216d8dchunk-1aa50206d02ed89418f65f97c6441d1cchunk-cb661c37436355ccec2769b1d0350c5fchunk-9c43dac2fcd5b578242d907ea6f8fc7b'}> +2024-10-30 05:39:42,519 - lightrag - DEBUG - Trigger summary: "THE GHOST" +2024-10-30 05:39:42,623 - lightrag - INFO - get_node:query:MATCH (n:`THE BELL`) RETURN n:result:"The Bell is described as a disused bell that starts to swing and ring during the haunting, signifying the onset of supernatural occurrences.""The Bell is a disused bell in Scrooge\'s room, which begins to swing and rings out loudly, heralding the appearance of Marley\'s Ghost."', 'source_id': 'chunk-cb661c37436355ccec2769b1d0350c5fchunk-9c43dac2fcd5b578242d907ea6f8fc7b'}> +2024-10-30 05:39:42,760 - lightrag - INFO - _do_upsert:query: + MERGE (n:`THE BELL`) + SET n += $properties + RETURN n + :result:{'entity_type': '"GEO"', 'description': '"The Bell is a church bell that signifies the time passing and marks the moments of Scrooge\'s encounters with the ghosts.""The Bell is described as a disused bell that starts to swing and ring during the haunting, signifying the onset of supernatural occurrences.""The Bell is a disused bell in Scrooge\'s room, which begins to swing and rings out loudly, heralding the appearance of Marley\'s Ghost.""The Bell is a disused bell in Scrooge\'s room, which begins to swing and rings out loudly, heralding the appearance of Marley\'s Ghost."', 'source_id': 'chunk-cb661c37436355ccec2769b1d0350c5fchunk-9c43dac2fcd5b578242d907ea6f8fc7b'} +2024-10-30 05:39:42,896 - lightrag - INFO - get_node:query:MATCH (n:`THE WINE-MERCHANT'S CELLAR`) RETURN n:result:"The Wine-Merchant\'s Cellar is a location within The House where sounds of dragging chains are heard, signifying a haunted presence."', 'source_id': 'chunk-9c43dac2fcd5b578242d907ea6f8fc7b'}> +2024-10-30 05:39:43,034 - lightrag - INFO - _do_upsert:query: + MERGE (n:`THE WINE-MERCHANT'S CELLAR`) + SET n += $properties + RETURN n + :result:{'entity_type': '"GEO"', 'description': '"The Wine-Merchant\'s Cellar is a location that holds significance in the story, where sounds of dragging chains are heard, adding to the ghostly ambiance.""The Wine-Merchant\'s Cellar is a location within The House where sounds of dragging chains are heard, signifying a haunted presence.""The Wine-Merchant\'s Cellar is a location within The House where sounds of dragging chains are heard, signifying a haunted presence."', 'source_id': 'chunk-9c43dac2fcd5b578242d907ea6f8fc7b'} +2024-10-30 05:39:43,169 - lightrag - INFO - get_node:query:MATCH (n:`THE DYING FLAME`) RETURN n:result:"The Dying Flame signifies the waning spirit of Scrooge, momentarily invigorated by the arrival of the ghost as a metaphor for his fading humanity."', 'source_id': 'chunk-9c43dac2fcd5b578242d907ea6f8fc7bchunk-1aa50206d02ed89418f65f97c6441d1c'}> +2024-10-30 05:39:43,308 - lightrag - INFO - _do_upsert:query: + MERGE (n:`THE DYING FLAME`) + SET n += $properties + RETURN n + :result:{'entity_type': '"CONCEPT"', 'description': '"The Dying Flame represents the fear and uncertainty in Scrooge as it reacts to the presence of Marley’s Ghost, adding to the eerie atmosphere.""The Dying Flame represents the fear and uncertainty in Scrooge as it reacts to the presence of Marley’s Ghost, adding to the eerie atmosphere.""The Dying Flame signifies the waning spirit of Scrooge, momentarily invigorated by the arrival of the ghost as a metaphor for his fading humanity.""The Dying Flame signifies the waning spirit of Scrooge, momentarily invigorated by the arrival of the ghost as a metaphor for his fading humanity."', 'source_id': 'chunk-1aa50206d02ed89418f65f97c6441d1cchunk-9c43dac2fcd5b578242d907ea6f8fc7b'} +2024-10-30 05:39:43,441 - lightrag - INFO - get_node:query:MATCH (n:`THE GRATE`) RETURN n:result:"The Grate is part of Scrooge\'s room where a small fire burns, contributing to the bleak and cold atmosphere of his setting."', 'source_id': 'chunk-9c43dac2fcd5b578242d907ea6f8fc7b'}> +2024-10-30 05:39:43,580 - lightrag - INFO - _do_upsert:query: + MERGE (n:`THE GRATE`) + SET n += $properties + RETURN n + :result:{'entity_type': '"GEO"', 'description': '"The Grate is a small fire in Scrooge\'s room that provides meager warmth, symbolizing Scrooge\'s cold disposition.""The Grate is a small fire in Scrooge\'s room that provides meager warmth, symbolizing Scrooge\'s cold disposition.""The Grate is part of Scrooge\'s room where a small fire burns, contributing to the bleak and cold atmosphere of his setting."', 'source_id': 'chunk-9c43dac2fcd5b578242d907ea6f8fc7b'} +2024-10-30 05:39:43,716 - lightrag - INFO - get_node:query:MATCH (n:`SCROOGE'S DRESSING-GOWN`) RETURN n:result: +2024-10-30 05:39:43,856 - lightrag - INFO - _do_upsert:query: + MERGE (n:`SCROOGE'S DRESSING-GOWN`) + SET n += $properties + RETURN n + :result:{'entity_type': '"CONCEPT"', 'description': '"Scrooge\'s Dressing-Gown represents his reluctance to engage with the world outside, emphasizing his isolation and contentment with solitude."', 'source_id': 'chunk-9c43dac2fcd5b578242d907ea6f8fc7b'} +2024-10-30 05:39:43,989 - lightrag - INFO - get_node:query:MATCH (n:`GRUE`) RETURN n:result: +2024-10-30 05:39:44,126 - lightrag - INFO - _do_upsert:query: + MERGE (n:`GRUE`) + SET n += $properties + RETURN n + :result:{'entity_type': '"GEO"', 'description': '"Grue is the small saucepan of gruel prepared by Scrooge, indicating his minimalistic lifestyle and frugality."', 'source_id': 'chunk-9c43dac2fcd5b578242d907ea6f8fc7b'} +2024-10-30 05:39:44,258 - lightrag - INFO - get_node:query:MATCH (n:`THE HEAVY CHAIN`) RETURN n:result: +2024-10-30 05:39:44,396 - lightrag - INFO - _do_upsert:query: + MERGE (n:`THE HEAVY CHAIN`) + SET n += $properties + RETURN n + :result:{'entity_type': '"CONCEPT"', 'description': '"The Heavy Chain is associated with the dragging noise heard by Scrooge, symbolizing the burdens of his past actions."', 'source_id': 'chunk-9c43dac2fcd5b578242d907ea6f8fc7b'} +2024-10-30 05:39:44,529 - lightrag - INFO - get_node:query:MATCH (n:`THE CASK`) RETURN n:result:"The Cask is part of the sounds emerging from the cellar, contributing to the eerie atmosphere surrounding Marley’s Ghost."', 'source_id': 'chunk-9c43dac2fcd5b578242d907ea6f8fc7b'}> +2024-10-30 05:39:44,674 - lightrag - INFO - _do_upsert:query: + MERGE (n:`THE CASK`) + SET n += $properties + RETURN n + :result:{'entity_type': '"GEO"', 'description': '"The Cask is part of the cellar, contributing to the sounds associated with Marley\'s Ghost and aiding in creating a sense of dread.""The Cask is part of the sounds emerging from the cellar, contributing to the eerie atmosphere surrounding Marley’s Ghost.""The Cask is part of the sounds emerging from the cellar, contributing to the eerie atmosphere surrounding Marley’s Ghost."', 'source_id': 'chunk-9c43dac2fcd5b578242d907ea6f8fc7b'} +2024-10-30 05:39:44,809 - lightrag - INFO - get_node:query:MATCH (n:`MARLEY'S GHOST`) RETURN n:result:"Marley\'s Ghost is a spectral figure who appears to Scrooge to warn him of the impending visits from three spirits, representing remorse for his past deeds.""Marley\'s Ghost is a spectral visitation that deeply troubles Scrooge and causes him great perplexity, leading him to question the reality of his experiences.""Marley\'s Ghost represents the supernatural apparition of Marley, who has been dead for seven years and symbolizes regret and warning to Scrooge.""Marley\'s Ghost is an unearthly visitor that appears to Scrooge, causing him to question the nature of reality and dreams.""Marley\'s Ghost is the spectral figure of Jacob Marley, who appears to forewarn Scrooge about his fate and the necessity of change in his life."', 'source_id': 'chunk-cb661c37436355ccec2769b1d0350c5fchunk-c7b10789a9cb0af6c553730b29bd9034chunk-9c43dac2fcd5b578242d907ea6f8fc7bchunk-1aa50206d02ed89418f65f97c6441d1c'}> +2024-10-30 05:39:44,949 - lightrag - INFO - _do_upsert:query: + MERGE (n:`MARLEY'S GHOST`) + SET n += $properties + RETURN n + :result:{'entity_type': '"EVENT"', 'description': '"Marley\'s Ghost is a spectral figure that represents Scrooge\'s past partner who has returned to convey a message, encapsulating themes of guilt and redemption.""Marley\'s Ghost is a spectral figure that represents Scrooge\'s past partner who has returned to convey a message, encapsulating themes of guilt and redemption.""Marley\'s Ghost is a spectral figure who appears to Scrooge to warn him of the impending visits from three spirits, representing remorse for his past deeds.""Marley\'s Ghost is a spectral visitation that deeply troubles Scrooge and causes him great perplexity, leading him to question the reality of his experiences.""Marley\'s Ghost represents the supernatural apparition of Marley, who has been dead for seven years and symbolizes regret and warning to Scrooge.""Marley\'s Ghost is an unearthly visitor that appears to Scrooge, causing him to question the nature of reality and dreams.""Marley\'s Ghost is the spectral figure of Jacob Marley, who appears to forewarn Scrooge about his fate and the necessity of change in his life.""Marley\'s Ghost is an unearthly visitor that appears to Scrooge, causing him to question the nature of reality and dreams.""Marley\'s Ghost is the spectral figure of Jacob Marley, who appears to forewarn Scrooge about his fate and the necessity of change in his life."', 'source_id': 'chunk-1aa50206d02ed89418f65f97c6441d1cchunk-c7b10789a9cb0af6c553730b29bd9034chunk-cb661c37436355ccec2769b1d0350c5fchunk-9c43dac2fcd5b578242d907ea6f8fc7b'} +2024-10-30 05:39:45,086 - lightrag - INFO - get_node:query:MATCH (n:`JACOB MARLEY`) RETURN n:result:"Jacob Marley is Scrooge\'s deceased business partner who plays a significant role in introducing the spirits to Scrooge.""Jacob Marley is Scrooge\'s deceased business partner, who appears as a ghost to warn Scrooge of his impending fate and the need for change.""Jacob Marley is a deceased character who symbolizes the consequences of a life led without compassion, influencing Scrooge\'s redemption.""Jacob Marley is a ghost who appears to Scrooge, having been his business partner in life, and is now bound by chains that signify his earthly ties and regrets.""Jacob Marley is the ghost of Scrooge\'s former business partner, who seeks to impart a lesson about the consequences of a life lived without compassion or connection to humanity.""Jacob Marley is the ghost who represents Scrooge\'s past and serves as a catalyst for his change.""Jacob Marley is Scrooge\'s deceased partner, who appears in spirit to influence Scrooge\'s journey towards redemption.""Jacob Marley is a spirit who influences Scrooge\'s change of heart, representing a connection to Scrooge\'s past and the theme of redemption.""Jacob Marley is the deceased business partner of Scrooge, whose ghost visits him to convey a message about the importance of charity and kindness.""Jacob Marley is the deceased partner of Scrooge who shows concern for Scrooge\'s fate and the importance of change in his life.""Jacob Marley is the ghost of Scrooge\'s former business partner, who foretells the consequences of Scrooge\'s selfishness and warns him to change his ways.""Jacob Marley is the ghost of Scrooge\'s former partner, who appears to warn Scrooge about his fate and the need for change in his life."', 'source_id': 'chunk-91572b3cd42786ba4cb2f180ca25cbf4chunk-90b95db5c53e4364a6bee36b7aa4d70fchunk-da2472b4ef2a535b62908f14d0fb0ca9chunk-359187e7571bda4b0b08b2e0b6581e52chunk-02baee20cc9463dbe08170a8e1043e32chunk-1aa50206d02ed89418f65f97c6441d1cchunk-cb661c37436355ccec2769b1d0350c5f'}> +2024-10-30 05:39:45,088 - lightrag - DEBUG - Trigger summary: "JACOB MARLEY" +2024-10-30 05:39:45,189 - lightrag - INFO - get_node:query:MATCH (n:`THE CHAIN`) RETURN n:result:"The Chain symbolizes the burdens of the past that haunt the spirits, showcasing the consequences of one\'s actions in life.""The Chain represents the burdens of greed and the consequences of one\'s actions, worn by Marley\'s Ghost as a physical manifestation of his regrets.""The Chain represents the burdens of regret and guilt that haunt Marley and serve as a warning to Scrooge about the consequences of a life poorly lived."', 'source_id': 'chunk-cb661c37436355ccec2769b1d0350c5fchunk-359187e7571bda4b0b08b2e0b6581e52chunk-1aa50206d02ed89418f65f97c6441d1c'}> +2024-10-30 05:39:45,328 - lightrag - INFO - _do_upsert:query: + MERGE (n:`THE CHAIN`) + SET n += $properties + RETURN n + :result:{'entity_type': '"CONCEPT"', 'description': '"The Chain refers to the symbolic burden that Marley carries, representing the consequences of his actions and the remorse that traps him in his spectral form.""The Chain symbolizes the burdens of the past that haunt the spirits, showcasing the consequences of one\'s actions in life.""The Chain represents the burdens of greed and the consequences of one\'s actions, worn by Marley\'s Ghost as a physical manifestation of his regrets.""The Chain represents the burdens of regret and guilt that haunt Marley and serve as a warning to Scrooge about the consequences of a life poorly lived.""The Chain represents the burdens of greed and the consequences of one\'s actions, worn by Marley\'s Ghost as a physical manifestation of his regrets.""The Chain represents the burdens of regret and guilt that haunt Marley and serve as a warning to Scrooge about the consequences of a life poorly lived."', 'source_id': 'chunk-1aa50206d02ed89418f65f97c6441d1cchunk-359187e7571bda4b0b08b2e0b6581e52chunk-cb661c37436355ccec2769b1d0350c5f'} +2024-10-30 05:39:45,467 - lightrag - INFO - get_node:query:MATCH (n:`THE HEAVY DOOR`) RETURN n:result:"The heavy door is a physical boundary encountered by Scrooge, marking the transition between the ordinary world and the supernatural visitation."', 'source_id': 'chunk-1aa50206d02ed89418f65f97c6441d1c'}> +2024-10-30 05:39:45,611 - lightrag - INFO - _do_upsert:query: + MERGE (n:`THE HEAVY DOOR`) + SET n += $properties + RETURN n + :result:{'entity_type': '"CONCEPT"', 'description': '"The Heavy Door symbolizes the threshold between life and death, as well as the barriers between Scrooge and the supernatural world.""The Heavy Door symbolizes the threshold between life and death, as well as the barriers between Scrooge and the supernatural world.""The heavy door is a physical boundary encountered by Scrooge, marking the transition between the ordinary world and the supernatural visitation."', 'source_id': 'chunk-1aa50206d02ed89418f65f97c6441d1c'} +2024-10-30 05:39:45,743 - lightrag - INFO - get_node:query:MATCH (n:`THE SPECTRE`) RETURN n:result: +2024-10-30 05:39:45,882 - lightrag - INFO - _do_upsert:query: + MERGE (n:`THE SPECTRE`) + SET n += $properties + RETURN n + :result:{'entity_type': '"CONCEPT"', 'description': '"The Spectre refers to the ghostly presence of Marley that embodies the themes of haunting and reflection on one\'s life choices."', 'source_id': 'chunk-1aa50206d02ed89418f65f97c6441d1c'} +2024-10-30 05:39:46,088 - lightrag - INFO - get_node:query:MATCH (n:`INFERNAL ATMOSPHERE`) RETURN n:result: +2024-10-30 05:39:46,226 - lightrag - INFO - _do_upsert:query: + MERGE (n:`INFERNAL ATMOSPHERE`) + SET n += $properties + RETURN n + :result:{'entity_type': '"CONCEPT"', 'description': '"The Infernal Atmosphere refers to the unsettling environment surrounding Marley\'s Ghost, indicating the discomfort and fear associated with his presence."', 'source_id': 'chunk-1aa50206d02ed89418f65f97c6441d1c'} +2024-10-30 05:39:46,363 - lightrag - INFO - get_node:query:MATCH (n:`THE CHAIR`) RETURN n:result: +2024-10-30 05:39:46,503 - lightrag - INFO - _do_upsert:query: + MERGE (n:`THE CHAIR`) + SET n += $properties + RETURN n + :result:{'entity_type': '"CONCEPT"', 'description': '"The Chair represents the symbol of comfort and safety that Scrooge clings to while facing the terrifying apparition."', 'source_id': 'chunk-1aa50206d02ed89418f65f97c6441d1c'} +2024-10-30 05:39:46,635 - lightrag - INFO - get_node:query:MATCH (n:`THE VISION`) RETURN n:result: +2024-10-30 05:39:46,775 - lightrag - INFO - _do_upsert:query: + MERGE (n:`THE VISION`) + SET n += $properties + RETURN n + :result:{'entity_type': '"CONCEPT"', 'description': '"The Vision refers to the haunting imagery that Scrooge perceives, reflecting his inner turmoil and conflict with reality."', 'source_id': 'chunk-1aa50206d02ed89418f65f97c6441d1c'} +2024-10-30 05:39:46,914 - lightrag - INFO - get_node:query:MATCH (n:`THE BANDAGE`) RETURN n:result:"The bandage is an item used by the ghost, symbolizing decay and the remnants of Marley’s struggle with his own existence post-death."', 'source_id': 'chunk-1aa50206d02ed89418f65f97c6441d1c'}> +2024-10-30 05:39:47,050 - lightrag - INFO - _do_upsert:query: + MERGE (n:`THE BANDAGE`) + SET n += $properties + RETURN n + :result:{'entity_type': '"CONCEPT"', 'description': '"The Bandage represents the ghost\'s attempt to maintain semblance in his appearance while revealing his true ghostly form.""The Bandage represents the ghost\'s attempt to maintain semblance in his appearance while revealing his true ghostly form.""The bandage is an item used by the ghost, symbolizing decay and the remnants of Marley’s struggle with his own existence post-death."', 'source_id': 'chunk-1aa50206d02ed89418f65f97c6441d1c'} +2024-10-30 05:39:47,188 - lightrag - INFO - get_node:query:MATCH (n:`GHOST`) RETURN n:result:"The Ghost refers to the spirit guiding Scrooge, embodying the themes of memory and reflection on the joys of Christmas.""The Ghost represents a spiritual guide that takes Scrooge on a journey to learn important lessons about compassion and humanity.""The Ghost serves as a supernatural guide for Scrooge, prompting him to reflect on his life and choices.""The Ghost is the spirit of Jacob Marley, who expresses remorse for his life and warns Scrooge about the consequences of ignoring his moral duties."', 'source_id': 'chunk-e7637ff18c5ded77a68cce0a87883fadchunk-c6c248858d1b13ab7ee9ca13c1aeed6bchunk-43c9bee23adfa77aa9dedd22401bba7dchunk-359187e7571bda4b0b08b2e0b6581e52chunk-503f0bfa5453467c7c61d160a3540eca'}> +2024-10-30 05:39:47,327 - lightrag - INFO - _do_upsert:query: + MERGE (n:`GHOST`) + SET n += $properties + RETURN n + :result:{'entity_type': '"PERSON"', 'description': '"The Ghost is a supernatural entity that provides guidance and reflection on Scrooge\'s past, representing moral and societal themes.""The Ghost refers to the spirit guiding Scrooge, embodying the themes of memory and reflection on the joys of Christmas.""The Ghost represents a spiritual guide that takes Scrooge on a journey to learn important lessons about compassion and humanity.""The Ghost serves as a supernatural guide for Scrooge, prompting him to reflect on his life and choices.""The Ghost is the spirit of Jacob Marley, who expresses remorse for his life and warns Scrooge about the consequences of ignoring his moral duties.""The Ghost is the spirit of Jacob Marley, who expresses remorse for his life and warns Scrooge about the consequences of ignoring his moral duties."', 'source_id': 'chunk-503f0bfa5453467c7c61d160a3540ecachunk-c6c248858d1b13ab7ee9ca13c1aeed6bchunk-359187e7571bda4b0b08b2e0b6581e52chunk-43c9bee23adfa77aa9dedd22401bba7dchunk-e7637ff18c5ded77a68cce0a87883fad'} +2024-10-30 05:39:47,461 - lightrag - INFO - get_node:query:MATCH (n:`CHRISTMAS EVES`) RETURN n:result:"Christmas Eves refers to the recurring time periods that Marley reflects upon, indicating the weight of his past decisions leading to regret."', 'source_id': 'chunk-359187e7571bda4b0b08b2e0b6581e52'}> +2024-10-30 05:39:47,600 - lightrag - INFO - _do_upsert:query: + MERGE (n:`CHRISTMAS EVES`) + SET n += $properties + RETURN n + :result:{'entity_type': '"EVENT"', 'description': '"Christmas Eves refer to the time periods associated with the spirits\' visits, specifically connecting to themes of reflection and redemption during the festive season.""Christmas Eves refer to the time periods associated with the spirits\' visits, specifically connecting to themes of reflection and redemption during the festive season.""Christmas Eves refers to the recurring time periods that Marley reflects upon, indicating the weight of his past decisions leading to regret."', 'source_id': 'chunk-359187e7571bda4b0b08b2e0b6581e52'} +2024-10-30 05:39:47,736 - lightrag - INFO - get_node:query:MATCH (n:`MANKIND`) RETURN n:result:"Mankind signifies the broader human community, which Marley claims should be the focus of compassionate effort rather than mere business pursuits."', 'source_id': 'chunk-359187e7571bda4b0b08b2e0b6581e52'}> +2024-10-30 05:39:47,873 - lightrag - INFO - _do_upsert:query: + MERGE (n:`MANKIND`) + SET n += $properties + RETURN n + :result:{'entity_type': '"CONCEPT"', 'description': '"Mankind is referenced as a significant concern that should have been the focus of Scrooge\'s life, highlighting the importance of universal compassion and care.""Mankind is referenced as a significant concern that should have been the focus of Scrooge\'s life, highlighting the importance of universal compassion and care.""Mankind signifies the broader human community, which Marley claims should be the focus of compassionate effort rather than mere business pursuits."', 'source_id': 'chunk-359187e7571bda4b0b08b2e0b6581e52'} +2024-10-30 05:39:48,005 - lightrag - INFO - get_node:query:MATCH (n:`ETERNAL CHAIN`) RETURN n:result: +2024-10-30 05:39:48,147 - lightrag - INFO - _do_upsert:query: + MERGE (n:`ETERNAL CHAIN`) + SET n += $properties + RETURN n + :result:{'entity_type': '"CONCEPT"', 'description': '"The Eternal Chain represents the burdens and consequences of one\'s actions in life, symbolizing the weight of regret carried by the Ghost."', 'source_id': 'chunk-359187e7571bda4b0b08b2e0b6581e52'} +2024-10-30 05:39:48,280 - lightrag - INFO - get_node:query:MATCH (n:`STAR`) RETURN n:result: +2024-10-30 05:39:48,423 - lightrag - INFO - _do_upsert:query: + MERGE (n:`STAR`) + SET n += $properties + RETURN n + :result:{'entity_type': '"GEO"', 'description': '"The Star symbolizes guidance and hope, referenced in connection with the Wise Men, representing the potential for enlightenment and moral direction."', 'source_id': 'chunk-359187e7571bda4b0b08b2e0b6581e52'} +2024-10-30 05:39:48,554 - lightrag - INFO - get_node:query:MATCH (n:`WISE MEN`) RETURN n:result: +2024-10-30 05:39:48,694 - lightrag - INFO - _do_upsert:query: + MERGE (n:`WISE MEN`) + SET n += $properties + RETURN n + :result:{'entity_type': '"PERSON"', 'description': '"The Wise Men are figures who followed the Star to bring gifts, embodying the values of recognition and generosity that Scrooge has neglected."', 'source_id': 'chunk-359187e7571bda4b0b08b2e0b6581e52'} +2024-10-30 05:39:48,828 - lightrag - INFO - get_node:query:MATCH (n:`FELLOW-BEINGS`) RETURN n:result: +2024-10-30 05:39:48,969 - lightrag - INFO - _do_upsert:query: + MERGE (n:`FELLOW-BEINGS`) + SET n += $properties + RETURN n + :result:{'entity_type': '"CONCEPT"', 'description': '"Fellow-beings are the people whom Scrooge ignored in life, representing the importance of community and connection."', 'source_id': 'chunk-359187e7571bda4b0b08b2e0b6581e52'} +2024-10-30 05:39:49,103 - lightrag - INFO - get_node:query:MATCH (n:`CHRISTMAS SPIRIT`) RETURN n:result: +2024-10-30 05:39:49,244 - lightrag - INFO - _do_upsert:query: + MERGE (n:`CHRISTMAS SPIRIT`) + SET n += $properties + RETURN n + :result:{'entity_type': '"CONCEPT"', 'description': '"The Christmas Spirit represents the ideals of generosity and kindness associated with the holiday season, which the Ghost encourages Scrooge to embrace."', 'source_id': 'chunk-359187e7571bda4b0b08b2e0b6581e52'} +2024-10-30 05:39:49,376 - lightrag - INFO - get_node:query:MATCH (n:`SPECTRE`) RETURN n:result: +2024-10-30 05:39:49,513 - lightrag - INFO - _do_upsert:query: + MERGE (n:`SPECTRE`) + SET n += $properties + RETURN n + :result:{'entity_type': '"PERSON"', 'description': '"The Spectre is another term for the Ghost, representing a manifestation of guilt and the need for change in Scrooge\'s life."', 'source_id': 'chunk-359187e7571bda4b0b08b2e0b6581e52'} +2024-10-30 05:39:49,645 - lightrag - INFO - get_node:query:MATCH (n:`THE THREE SPIRITS`) RETURN n:result:"The Three Spirits refer to the supernatural beings that are prophesied to visit Scrooge, each representing different aspects of time and morality."', 'source_id': 'chunk-cb661c37436355ccec2769b1d0350c5f'}> +2024-10-30 05:39:49,785 - lightrag - INFO - _do_upsert:query: + MERGE (n:`THE THREE SPIRITS`) + SET n += $properties + RETURN n + :result:{'entity_type': '"EVENT"', 'description': '"The Three Spirits are the apparitions that Jacob Marley warns Scrooge about, who will visit him to guide him toward redemption.""The Three Spirits are the apparitions that Jacob Marley warns Scrooge about, who will visit him to guide him toward redemption.""The Three Spirits refer to the supernatural beings that are prophesied to visit Scrooge, each representing different aspects of time and morality."', 'source_id': 'chunk-cb661c37436355ccec2769b1d0350c5f'} +2024-10-30 05:39:49,921 - lightrag - INFO - get_node:query:MATCH (n:`THE PHANTOM VOICES`) RETURN n:result: +2024-10-30 05:39:50,059 - lightrag - INFO - _do_upsert:query: + MERGE (n:`THE PHANTOM VOICES`) + SET n += $properties + RETURN n + :result:{'entity_type': '"EVENT"', 'description': '"The Phantom Voices refer to the sorrowful sounds of lamentation that Scrooge hears as the apparitions wander, representing lost opportunities and regret."', 'source_id': 'chunk-cb661c37436355ccec2769b1d0350c5f'} +2024-10-30 05:39:50,195 - lightrag - INFO - get_node:query:MATCH (n:`THE WINDOW`) RETURN n:result:"The Window represents a threshold between the visible and invisible worlds, allowing Scrooge a view into the realm of spirits and their lamentations."', 'source_id': 'chunk-cb661c37436355ccec2769b1d0350c5f'}> +2024-10-30 05:39:50,332 - lightrag - INFO - _do_upsert:query: + MERGE (n:`THE WINDOW`) + SET n += $properties + RETURN n + :result:{'entity_type': '"GEO"', 'description': '"The Window is a physical presence in Scrooge\'s chamber that he approaches to observe the supernatural occurrences outside.""The Window is a physical presence in Scrooge\'s chamber that he approaches to observe the supernatural occurrences outside.""The Window represents a threshold between the visible and invisible worlds, allowing Scrooge a view into the realm of spirits and their lamentations."', 'source_id': 'chunk-cb661c37436355ccec2769b1d0350c5f'} +2024-10-30 05:39:50,468 - lightrag - INFO - get_node:query:MATCH (n:`THE CLOCK`) RETURN n:result:"The Clock is mentioned as malfunctioning, which symbolizes the confusion and distortion of time that Scrooge experiences during his nighttime visitations.""The Clock serves as a symbol of time passing, reflecting Scrooge\'s disorientation regarding time as he transitions between reality and the supernatural.""The Clock signifies the passage of time during the Domestic Ball and plays a role in marking the end of the celebration."', 'source_id': 'chunk-cb661c37436355ccec2769b1d0350c5fchunk-c7b10789a9cb0af6c553730b29bd9034chunk-b2f98bc7abb0c67d4c86055c7fd72218'}> +2024-10-30 05:39:50,607 - lightrag - INFO - _do_upsert:query: + MERGE (n:`THE CLOCK`) + SET n += $properties + RETURN n + :result:{'entity_type': '"GEO"', 'description': '"The Clock is a device that malfunctions, contributing to Scrooge\'s confusion about time and reality in the narrative.""The Clock is mentioned as malfunctioning, which symbolizes the confusion and distortion of time that Scrooge experiences during his nighttime visitations.""The Clock serves as a symbol of time passing, reflecting Scrooge\'s disorientation regarding time as he transitions between reality and the supernatural.""The Clock signifies the passage of time during the Domestic Ball and plays a role in marking the end of the celebration.""The Clock serves as a symbol of time passing, reflecting Scrooge\'s disorientation regarding time as he transitions between reality and the supernatural.""The Clock signifies the passage of time during the Domestic Ball and plays a role in marking the end of the celebration."', 'source_id': 'chunk-c7b10789a9cb0af6c553730b29bd9034chunk-cb661c37436355ccec2769b1d0350c5fchunk-b2f98bc7abb0c67d4c86055c7fd72218'} +2024-10-30 05:39:50,741 - lightrag - INFO - get_node:query:MATCH (n:`THE DARKNESS`) RETURN n:result:"The Darkness symbolizes the confusion and the unknown that envelops Scrooge as he faces the reality of his past, present, and future."', 'source_id': 'chunk-cb661c37436355ccec2769b1d0350c5f'}> +2024-10-30 05:39:50,880 - lightrag - INFO - _do_upsert:query: + MERGE (n:`THE DARKNESS`) + SET n += $properties + RETURN n + :result:{'entity_type': '"CONCEPT"', 'description': '"The Darkness refers to the absence of light, signifying uncertainty and fear in Scrooge\'s transformation journey.""The Darkness symbolizes the confusion and the unknown that envelops Scrooge as he faces the reality of his past, present, and future.""The Darkness symbolizes the confusion and the unknown that envelops Scrooge as he faces the reality of his past, present, and future."', 'source_id': 'chunk-cb661c37436355ccec2769b1d0350c5f'} +2024-10-30 05:39:51,018 - lightrag - INFO - get_node:query:MATCH (n:`CLOCK`) RETURN n:result: +2024-10-30 05:39:51,159 - lightrag - INFO - _do_upsert:query: + MERGE (n:`CLOCK`) + SET n += $properties + RETURN n + :result:{'entity_type': '"ORGANIZATION"', 'description': '"The Clock symbolizes the passage of time and plays a pivotal role in establishing the moments of Scrooge\'s experience with the Ghost."', 'source_id': 'chunk-c7b10789a9cb0af6c553730b29bd9034'} +2024-10-30 05:39:51,293 - lightrag - INFO - get_node:query:MATCH (n:`HOLLY`) RETURN n:result:"Holly is a plant associated with Christmas, mentioned among other decorations that contribute to the festive atmosphere.""Holly is a symbol held by The Ghost, representing peace and goodwill, contrasting with the cold wintry atmosphere around Scrooge.""Holly is mentioned as part of the traditional decorations associated with Christmas, symbolizing festivity.""Holly represents a traditional decoration associated with Christmas, symbolizing festivity and the presence of the Christmas spirit."', 'source_id': 'chunk-c7b10789a9cb0af6c553730b29bd9034chunk-99b0ec7f7e006561352b5d65e849611dchunk-843b5b2f944c7413d9ca876e2e2f151f'}> +2024-10-30 05:39:51,436 - lightrag - INFO - _do_upsert:query: + MERGE (n:`HOLLY`) + SET n += $properties + RETURN n + :result:{'entity_type': '"ORGANIZATION"', 'description': '"Holly is a plant associated with Christmas, featured prominently in the Spirit\'s attire, symbolizing joy and celebration during the festive season.""Holly is a plant associated with Christmas, mentioned among other decorations that contribute to the festive atmosphere.""Holly is a symbol held by The Ghost, representing peace and goodwill, contrasting with the cold wintry atmosphere around Scrooge.""Holly is mentioned as part of the traditional decorations associated with Christmas, symbolizing festivity.""Holly represents a traditional decoration associated with Christmas, symbolizing festivity and the presence of the Christmas spirit.""Holly is a symbol held by The Ghost, representing peace and goodwill, contrasting with the cold wintry atmosphere around Scrooge.""Holly is mentioned as part of the traditional decorations associated with Christmas, symbolizing festivity.""Holly represents a traditional decoration associated with Christmas, symbolizing festivity and the presence of the Christmas spirit."', 'source_id': 'chunk-c7b10789a9cb0af6c553730b29bd9034chunk-843b5b2f944c7413d9ca876e2e2f151fchunk-99b0ec7f7e006561352b5d65e849611d'} +2024-10-30 05:39:51,575 - lightrag - INFO - get_node:query:MATCH (n:`LIGHT`) RETURN n:result:"Light is a prominent feature associated with The Ghost, symbolizing knowledge and revelation, illuminating the darkness of Scrooge\'s ignorance."', 'source_id': 'chunk-c7b10789a9cb0af6c553730b29bd9034'}> +2024-10-30 05:39:51,713 - lightrag - INFO - _do_upsert:query: + MERGE (n:`LIGHT`) + SET n += $properties + RETURN n + :result:{'entity_type': '"CONCEPT"', 'description': '"Light emanates from The Visitor, symbolizing clarity, revelation, and the supernatural, contrasting with the darkness around Scrooge\'s situation.""Light is a prominent feature associated with The Ghost, symbolizing knowledge and revelation, illuminating the darkness of Scrooge\'s ignorance.""Light is a prominent feature associated with The Ghost, symbolizing knowledge and revelation, illuminating the darkness of Scrooge\'s ignorance."', 'source_id': 'chunk-c7b10789a9cb0af6c553730b29bd9034'} +2024-10-30 05:39:51,857 - lightrag - INFO - get_node:query:MATCH (n:`WINTER`) RETURN n:result: +2024-10-30 05:39:52,058 - lightrag - INFO - _do_upsert:query: + MERGE (n:`WINTER`) + SET n += $properties + RETURN n + :result:{'entity_type': '"GEO"', 'description': '"Winter represents the cold and bleak environment that surrounds Scrooge during his nighttime encounters with the supernatural."', 'source_id': 'chunk-c7b10789a9cb0af6c553730b29bd9034'} +2024-10-30 05:39:52,192 - lightrag - INFO - get_node:query:MATCH (n:`THE DRESSING-GOWN`) RETURN n:result:"The Dressing-Gown is worn by Scrooge, symbolizing his state of vulnerability and introspection as he grapples with profound ideas in the narrative."', 'source_id': 'chunk-c7b10789a9cb0af6c553730b29bd9034chunk-9c43dac2fcd5b578242d907ea6f8fc7b'}> +2024-10-30 05:39:52,333 - lightrag - INFO - _do_upsert:query: + MERGE (n:`THE DRESSING-GOWN`) + SET n += $properties + RETURN n + :result:{'entity_type': '"ORGANIZATION"', 'description': '"The Dressing-Gown is worn by Scrooge, illustrating his solitary, night-time routine and emphasizing his isolation.""The Dressing-Gown is worn by Scrooge, symbolizing his state of vulnerability and introspection as he grapples with profound ideas in the narrative.""The Dressing-Gown is worn by Scrooge, symbolizing his state of vulnerability and introspection as he grapples with profound ideas in the narrative."', 'source_id': 'chunk-c7b10789a9cb0af6c553730b29bd9034chunk-9c43dac2fcd5b578242d907ea6f8fc7b'} +2024-10-30 05:39:52,471 - lightrag - INFO - get_node:query:MATCH (n:`TUNIC`) RETURN n:result: +2024-10-30 05:39:52,609 - lightrag - INFO - _do_upsert:query: + MERGE (n:`TUNIC`) + SET n += $properties + RETURN n + :result:{'entity_type': '"CONCEPT"', 'description': '"The Tunic is part of The Ghost\'s attire, signifying purity and heavenly qualities in contrast to Scrooge\'s current state."', 'source_id': 'chunk-c7b10789a9cb0af6c553730b29bd9034'} +2024-10-30 05:39:52,743 - lightrag - INFO - get_node:query:MATCH (n:`BELL`) RETURN n:result: +2024-10-30 05:39:52,880 - lightrag - INFO - _do_upsert:query: + MERGE (n:`BELL`) + SET n += $properties + RETURN n + :result:{'entity_type': '"EVENT"', 'description': '"The Bell signifies the passage of time and is crucial in alerting Scrooge to the hour of visitation by The Ghost."', 'source_id': 'chunk-c7b10789a9cb0af6c553730b29bd9034'} +2024-10-30 05:39:53,012 - lightrag - INFO - get_node:query:MATCH (n:`CLOCK'S STRIKE`) RETURN n:result: +2024-10-30 05:39:53,149 - lightrag - INFO - _do_upsert:query: + MERGE (n:`CLOCK'S STRIKE`) + SET n += $properties + RETURN n + :result:{'entity_type': '"EVENT"', 'description': '"The Clock\'s Strike is an event marking significant moments throughout the narrative, emphasizing the theme of time."', 'source_id': 'chunk-c7b10789a9cb0af6c553730b29bd9034'} +2024-10-30 05:39:53,281 - lightrag - INFO - get_node:query:MATCH (n:`DREAM`) RETURN n:result:"Dream refers to the possibility that Scrooge\'s experiences are a figment of his imagination, reflecting his internal struggle with reality and perception."', 'source_id': 'chunk-c7b10789a9cb0af6c553730b29bd9034'}> +2024-10-30 05:39:53,420 - lightrag - INFO - _do_upsert:query: + MERGE (n:`DREAM`) + SET n += $properties + RETURN n + :result:{'entity_type': '"CONCEPT"', 'description': '"Dream refers to Scrooge\'s mental conflict regarding whether the spectral encounters are real or figments of his imagination.""Dream refers to Scrooge\'s mental conflict regarding whether the spectral encounters are real or figments of his imagination.""Dream refers to the possibility that Scrooge\'s experiences are a figment of his imagination, reflecting his internal struggle with reality and perception."', 'source_id': 'chunk-c7b10789a9cb0af6c553730b29bd9034'} +2024-10-30 05:39:53,555 - lightrag - INFO - get_node:query:MATCH (n:`DING DONG`) RETURN n:result: +2024-10-30 05:39:53,691 - lightrag - INFO - _do_upsert:query: + MERGE (n:`DING DONG`) + SET n += $properties + RETURN n + :result:{'entity_type': '"EVENT"', 'description': '"Ding Dong represents the sound of the clock chimes, anchoring the reader in time and emphasizing the moments of realization for Scrooge."', 'source_id': 'chunk-c7b10789a9cb0af6c553730b29bd9034'} +2024-10-30 05:39:53,824 - lightrag - INFO - get_node:query:MATCH (n:`TIME`) RETURN n:result: +2024-10-30 05:39:53,961 - lightrag - INFO - _do_upsert:query: + MERGE (n:`TIME`) + SET n += $properties + RETURN n + :result:{'entity_type': '"CONCEPT"', 'description': '"Time is a central theme, with characters reflecting on its passage and significance in relation to life and revelations."', 'source_id': 'chunk-c7b10789a9cb0af6c553730b29bd9034'} +2024-10-30 05:39:54,102 - lightrag - INFO - get_node:query:MATCH (n:`THE SPIRIT`) RETURN n:result:"The Spirit is the entity that guides Scrooge through memories, prompting reflections on his past during the Christmas season.""The Spirit refers to an embodiment of the Christmas message that represents moral guidance and introspection in Scrooge\'s life.""The Spirit refers to the Ghost of Christmas Present, a supernatural figure that guides Scrooge through lessons about generosity and community.""The Spirit refers to the supernatural essence of the Ghost of Christmas Past, embodying the idea of reflection and memory.""The Spirit refers to the supernatural influences that visit Scrooge, particularly the second of the Three Spirits.""The Spirit represents the essence of Christmas cheer and generosity, influencing the atmosphere and morale during the feast.""The Spirit represents the supernatural presence urging Scrooge to reflect deeply on the consequences of his life choices, particularly in relation to Death.""The Spirit is a supernatural entity guiding Scrooge through various scenarios, pushing him towards reflection and change.""The Spirit is portrayed as a phantom guiding Scrooge, representing the moral and existential queries of his life.""The Spirit refers to a ghostly figure guiding Scrooge through his memories, playing a vital role in his transformation.""The Spirit refers to the Ghost of Christmas Present, who observes and interacts with the gathering, influencing Scrooge\'s emotional journey.""The Spirit refers to the ghostly apparitions that guide Scrooge through his reflections on life, past, present, and future.""The Spirit refers to the moral lesson embodied by the Ghost that visits Scrooge, emphasizing compassion and the value of life.""The Spirit represents a guiding force encouraging Scrooge to introspect on his past and recognize the value of happiness.""The Spirit represents a supernatural presence that influences the mood of Christmas, promoting generosity and mirth during the holiday season.""The Spirit represents the collective essence of the Christmas spirits, signifying guidance, memory, and influence over personal transformation.""The Spirit serves as a guiding force in the narrative, helping Scrooge understand his history and the impact of his actions."', 'source_id': 'chunk-91614df5cb74cbe5e109a338a82041e9chunk-91572b3cd42786ba4cb2f180ca25cbf4chunk-e1f29eeadc1d8ab46dc8a0bbd3c56b64chunk-b0f459f5af1c3a5e0b92cbe4ee48b77bchunk-b2f98bc7abb0c67d4c86055c7fd72218chunk-da2472b4ef2a535b62908f14d0fb0ca9chunk-8590d9263cd2cd4fa583c432fc54e6c3chunk-19d72c57ae3408758b18d2568e86dc6bchunk-43c9bee23adfa77aa9dedd22401bba7dchunk-bb21d58d36c6306fd8810ddd51c4a971chunk-503f0bfa5453467c7c61d160a3540ecachunk-f1a4fbcf1ed86864b9bfd5e8dba4c683'}> +2024-10-30 05:39:54,105 - lightrag - DEBUG - Trigger summary: "THE SPIRIT" +2024-10-30 05:39:54,208 - lightrag - INFO - get_node:query:MATCH (n:`WINTER DAY`) RETURN n:result:"The winter day serves as the setting for Scrooge\'s journey with the Ghost, representing a time for reflection and nostalgia."', 'source_id': 'chunk-bb21d58d36c6306fd8810ddd51c4a971'}> +2024-10-30 05:39:54,357 - lightrag - INFO - _do_upsert:query: + MERGE (n:`WINTER DAY`) + SET n += $properties + RETURN n + :result:{'entity_type': '"EVENT"', 'description': '"The Winter Day signifies the seasonal setting during Scrooge\'s journey through his memories, highlighting a clear, cold atmosphere filled with nostalgia.""The winter day serves as the setting for Scrooge\'s journey with the Ghost, representing a time for reflection and nostalgia.""The winter day serves as the setting for Scrooge\'s journey with the Ghost, representing a time for reflection and nostalgia."', 'source_id': 'chunk-bb21d58d36c6306fd8810ddd51c4a971'} +2024-10-30 05:39:54,494 - lightrag - INFO - get_node:query:MATCH (n:`MARKET-TOWN`) RETURN n:result:"The market-town appears in Scrooge\'s memories as a significant place from his childhood, representing a connection to his past."', 'source_id': 'chunk-bb21d58d36c6306fd8810ddd51c4a971'}> +2024-10-30 05:39:54,637 - lightrag - INFO - _do_upsert:query: + MERGE (n:`MARKET-TOWN`) + SET n += $properties + RETURN n + :result:{'entity_type': '"GEO"', 'description': '"The Market-Town is a nostalgic location from Scrooge\'s youth, evoking memories and emotions tied to his childhood.""The market-town appears in Scrooge\'s memories as a significant place from his childhood, representing a connection to his past.""The market-town appears in Scrooge\'s memories as a significant place from his childhood, representing a connection to his past."', 'source_id': 'chunk-bb21d58d36c6306fd8810ddd51c4a971'} +2024-10-30 05:39:54,775 - lightrag - INFO - get_node:query:MATCH (n:`BOYS`) RETURN n:result: +2024-10-30 05:39:54,910 - lightrag - INFO - _do_upsert:query: + MERGE (n:`BOYS`) + SET n += $properties + RETURN n + :result:{'entity_type': '"PERSON"', 'description': '"The boys are depicted as cheerful characters riding ponies, contributing to the joyful atmosphere and memories of Scrooge\'s past."', 'source_id': 'chunk-bb21d58d36c6306fd8810ddd51c4a971'} +2024-10-30 05:39:55,040 - lightrag - INFO - get_node:query:MATCH (n:`SHAGGY PONIES`) RETURN n:result: +2024-10-30 05:39:55,180 - lightrag - INFO - _do_upsert:query: + MERGE (n:`SHAGGY PONIES`) + SET n += $properties + RETURN n + :result:{'entity_type': '"GEO"', 'description': '"Shaggy ponies are mentioned as part of the scene, representing the innocent and playful aspects of Scrooge\'s childhood."', 'source_id': 'chunk-bb21d58d36c6306fd8810ddd51c4a971'} +2024-10-30 05:39:55,316 - lightrag - INFO - get_node:query:MATCH (n:`BRIDGE`) RETURN n:result: +2024-10-30 05:39:55,455 - lightrag - INFO - _do_upsert:query: + MERGE (n:`BRIDGE`) + SET n += $properties + RETURN n + :result:{'entity_type': '"GEO"', 'description': '"The bridge is a landmark in the market-town that Scrooge recognizes from his childhood, symbolizing a connection to his past."', 'source_id': 'chunk-bb21d58d36c6306fd8810ddd51c4a971'} +2024-10-30 05:39:55,592 - lightrag - INFO - get_node:query:MATCH (n:`CHURCH`) RETURN n:result: +2024-10-30 05:39:55,728 - lightrag - INFO - _do_upsert:query: + MERGE (n:`CHURCH`) + SET n += $properties + RETURN n + :result:{'entity_type': '"GEO"', 'description': '"The church is another landmark in the market-town representing tradition and community significant to Scrooge\'s memories."', 'source_id': 'chunk-bb21d58d36c6306fd8810ddd51c4a971'} +2024-10-30 05:39:55,860 - lightrag - INFO - get_node:query:MATCH (n:`WINDING RIVER`) RETURN n:result: +2024-10-30 05:39:56,002 - lightrag - INFO - _do_upsert:query: + MERGE (n:`WINDING RIVER`) + SET n += $properties + RETURN n + :result:{'entity_type': '"GEO"', 'description': '"The winding river is part of the landscape Scrooge recalls, tying into his emotions of nostalgia and remembrance of home."', 'source_id': 'chunk-bb21d58d36c6306fd8810ddd51c4a971'} +2024-10-30 05:39:56,137 - lightrag - INFO - get_node:query:MATCH (n:`ALI BABA`) RETURN n:result:"Ali Baba is mentioned as a character from a story that impacts Scrooge during his reflection on Christmas and childhood."', 'source_id': 'chunk-8590d9263cd2cd4fa583c432fc54e6c3'}> +2024-10-30 05:39:56,275 - lightrag - INFO - _do_upsert:query: + MERGE (n:`ALI BABA`) + SET n += $properties + RETURN n + :result:{'entity_type': '"PERSON"', 'description': '"Ali Baba is a character from a story recalled by Scrooge, representing memories of adventure and kindness during Christmas.""Ali Baba is a character from a story recalled by Scrooge, representing memories of adventure and kindness during Christmas.""Ali Baba is mentioned as a character from a story that impacts Scrooge during his reflection on Christmas and childhood."', 'source_id': 'chunk-8590d9263cd2cd4fa583c432fc54e6c3'} +2024-10-30 05:39:56,409 - lightrag - INFO - get_node:query:MATCH (n:`VALENTINE`) RETURN n:result:"Valentine is referenced as a brother of a character, and his presence contributes to the holiday memories Scrooge recalls."', 'source_id': 'chunk-8590d9263cd2cd4fa583c432fc54e6c3'}> +2024-10-30 05:39:56,552 - lightrag - INFO - _do_upsert:query: + MERGE (n:`VALENTINE`) + SET n += $properties + RETURN n + :result:{'entity_type': '"PERSON"', 'description': '"Valentine is mentioned as a character associated with Scrooge\'s childhood memories, indicating the depth of his nostalgia.""Valentine is mentioned as a character associated with Scrooge\'s childhood memories, indicating the depth of his nostalgia.""Valentine is referenced as a brother of a character, and his presence contributes to the holiday memories Scrooge recalls."', 'source_id': 'chunk-8590d9263cd2cd4fa583c432fc54e6c3'} +2024-10-30 05:39:56,689 - lightrag - INFO - get_node:query:MATCH (n:`ORSON`) RETURN n:result:"Orson, the wild brother of Valentine, is another figure from Scrooge\'s past, representing familial connections and memories."', 'source_id': 'chunk-8590d9263cd2cd4fa583c432fc54e6c3'}> +2024-10-30 05:39:56,828 - lightrag - INFO - _do_upsert:query: + MERGE (n:`ORSON`) + SET n += $properties + RETURN n + :result:{'entity_type': '"PERSON"', 'description': '"Orson is mentioned as another brother mentioned by Scrooge, recalling his childhood tales and adventures.""Orson, the wild brother of Valentine, is another figure from Scrooge\'s past, representing familial connections and memories.""Orson, the wild brother of Valentine, is another figure from Scrooge\'s past, representing familial connections and memories."', 'source_id': 'chunk-8590d9263cd2cd4fa583c432fc54e6c3'} +2024-10-30 05:39:56,963 - lightrag - INFO - get_node:query:MATCH (n:`MANSION`) RETURN n:result: +2024-10-30 05:39:57,100 - lightrag - INFO - _do_upsert:query: + MERGE (n:`MANSION`) + SET n += $properties + RETURN n + :result:{'entity_type': '"GEO"', 'description': '"The Mansion is a large house described as being in a state of decay and neglect, serving as a setting for Scrooge\'s memories."', 'source_id': 'chunk-8590d9263cd2cd4fa583c432fc54e6c3'} +2024-10-30 05:39:57,233 - lightrag - INFO - get_node:query:MATCH (n:`CHILD`) RETURN n:result: +2024-10-30 05:39:57,370 - lightrag - INFO - _do_upsert:query: + MERGE (n:`CHILD`) + SET n += $properties + RETURN n + :result:{'entity_type': '"PERSON"', 'description': '"The Child is a solitary figure leaving in the school, representing loneliness and the emotions tied to Scrooge\'s memories of his younger self."', 'source_id': 'chunk-8590d9263cd2cd4fa583c432fc54e6c3'} +2024-10-30 05:39:57,503 - lightrag - INFO - get_node:query:MATCH (n:`ROBIN CRUSOE`) RETURN n:result:"Robin Crusoe is a character referenced by Scrooge as part of his memories, signifying tales of adventure and nostalgia."', 'source_id': 'chunk-8590d9263cd2cd4fa583c432fc54e6c3'}> +2024-10-30 05:39:57,640 - lightrag - INFO - _do_upsert:query: + MERGE (n:`ROBIN CRUSOE`) + SET n += $properties + RETURN n + :result:{'entity_type': '"PERSON"', 'description': '"Robin Crusoe is a character from literature that Scrooge remembers fondly, illustrating his connection to stories of adventure and survival.""Robin Crusoe is a character from literature that Scrooge remembers fondly, illustrating his connection to stories of adventure and survival.""Robin Crusoe is a character referenced by Scrooge as part of his memories, signifying tales of adventure and nostalgia."', 'source_id': 'chunk-8590d9263cd2cd4fa583c432fc54e6c3'} +2024-10-30 05:39:57,776 - lightrag - INFO - get_node:query:MATCH (n:`FRIDAY`) RETURN n:result:"Friday is another character from the story of Robin Crusoe, noted in Scrooge\'s memories, indicating the impact of literature on his nostalgia."', 'source_id': 'chunk-8590d9263cd2cd4fa583c432fc54e6c3'}> +2024-10-30 05:39:57,915 - lightrag - INFO - _do_upsert:query: + MERGE (n:`FRIDAY`) + SET n += $properties + RETURN n + :result:{'entity_type': '"PERSON"', 'description': '"Friday is another character from a story mentioned by Scrooge during his nostalgic recollections of childhood.""Friday is another character from the story of Robin Crusoe, noted in Scrooge\'s memories, indicating the impact of literature on his nostalgia.""Friday is another character from the story of Robin Crusoe, noted in Scrooge\'s memories, indicating the impact of literature on his nostalgia."', 'source_id': 'chunk-8590d9263cd2cd4fa583c432fc54e6c3'} +2024-10-30 05:39:58,051 - lightrag - INFO - get_node:query:MATCH (n:`THE PARROT`) RETURN n:result: +2024-10-30 05:39:58,189 - lightrag - INFO - _do_upsert:query: + MERGE (n:`THE PARROT`) + SET n += $properties + RETURN n + :result:{'entity_type': '"PERSON"', 'description': '"The Parrot is a character in Scrooge\'s memory tied to Robin Crusoe, representing Scrooge\'s whimsical recollections."', 'source_id': 'chunk-8590d9263cd2cd4fa583c432fc54e6c3'} +2024-10-30 05:39:58,321 - lightrag - INFO - get_node:query:MATCH (n:`DICK WILKINS`) RETURN n:result:"Dick Wilkins is Scrooge\'s fellow apprentice and close companion during his younger years, indicating camaraderie during their apprenticeship.""Dick Wilkins is Scrooge\'s fellow apprentice, associated with Scrooge\'s past and the context of his earlier, more carefree life.""Dick Wilkins is a former apprentice of Scrooge, remembered fondly for his attachment to Scrooge."', 'source_id': 'chunk-c6c248858d1b13ab7ee9ca13c1aeed6bchunk-8bc1edd983869352d14cf0886a9175a7'}> +2024-10-30 05:39:58,460 - lightrag - INFO - _do_upsert:query: + MERGE (n:`DICK WILKINS`) + SET n += $properties + RETURN n + :result:{'entity_type': '"PERSON"', 'description': '"Dick Wilkins is Ebenezer\'s fellow apprentice, with whom he shared a strong attachment during their youth.""Dick Wilkins is Scrooge\'s fellow apprentice and close companion during his younger years, indicating camaraderie during their apprenticeship.""Dick Wilkins is Scrooge\'s fellow apprentice, associated with Scrooge\'s past and the context of his earlier, more carefree life.""Dick Wilkins is a former apprentice of Scrooge, remembered fondly for his attachment to Scrooge.""Dick Wilkins is Scrooge\'s fellow apprentice, associated with Scrooge\'s past and the context of his earlier, more carefree life.""Dick Wilkins is a former apprentice of Scrooge, remembered fondly for his attachment to Scrooge."', 'source_id': 'chunk-c6c248858d1b13ab7ee9ca13c1aeed6bchunk-8bc1edd983869352d14cf0886a9175a7'} +2024-10-30 05:39:58,595 - lightrag - INFO - get_node:query:MATCH (n:`THE CITY`) RETURN n:result:"The City represents the bustling urban environment where Scrooge reflects on his past, filled with activity and shadowy figures.""The City, from which Scrooge is transported, represents his past life and is contrasted with the open country road that signifies his memories.""The City refers to the broader urban environment in which Scrooge operates and signifies the societal norms and attitudes towards Christmas.""The City represents the bustling urban environment where Scrooge\'s memories unfold, highlighting the contrast between his past and present."', 'source_id': 'chunk-74e2466de2f67fd710ef2f20c0a8d9e0chunk-c6c248858d1b13ab7ee9ca13c1aeed6bchunk-bb21d58d36c6306fd8810ddd51c4a971chunk-94bea83e7153fc2064aa382b494936a1'}> +2024-10-30 05:39:58,732 - lightrag - INFO - _do_upsert:query: + MERGE (n:`THE CITY`) + SET n += $properties + RETURN n + :result:{'entity_type': '"GEO"', 'description': '"The City provides the backdrop for Scrooge\'s story, representing the bustling environment that underscores his loneliness and detachment from society.""The City represents the bustling urban environment where Scrooge reflects on his past, filled with activity and shadowy figures.""The City, from which Scrooge is transported, represents his past life and is contrasted with the open country road that signifies his memories.""The City refers to the broader urban environment in which Scrooge operates and signifies the societal norms and attitudes towards Christmas.""The City represents the bustling urban environment where Scrooge\'s memories unfold, highlighting the contrast between his past and present.""The City refers to the broader urban environment in which Scrooge operates and signifies the societal norms and attitudes towards Christmas.""The City represents the bustling urban environment where Scrooge\'s memories unfold, highlighting the contrast between his past and present."', 'source_id': 'chunk-74e2466de2f67fd710ef2f20c0a8d9e0chunk-c6c248858d1b13ab7ee9ca13c1aeed6bchunk-94bea83e7153fc2064aa382b494936a1chunk-bb21d58d36c6306fd8810ddd51c4a971'} +2024-10-30 05:39:58,864 - lightrag - INFO - get_node:query:MATCH (n:`HOME`) RETURN n:result:"Home symbolizes warmth, safety, and family connection, representing what Scrooge yearns for but has lost in his life."', 'source_id': 'chunk-c6c248858d1b13ab7ee9ca13c1aeed6bchunk-da2472b4ef2a535b62908f14d0fb0ca9'}> +2024-10-30 05:39:59,002 - lightrag - INFO - _do_upsert:query: + MERGE (n:`HOME`) + SET n += $properties + RETURN n + :result:{'entity_type': '"CONCEPT"', 'description': '"Home represents the physical and emotional center for the family, where the Christmas celebration takes place.""Home represents the physical and emotional center for the family, where the Christmas celebration takes place.""Home symbolizes warmth, safety, and family connection, representing what Scrooge yearns for but has lost in his life.""Home symbolizes warmth, safety, and family connection, representing what Scrooge yearns for but has lost in his life."', 'source_id': 'chunk-da2472b4ef2a535b62908f14d0fb0ca9chunk-c6c248858d1b13ab7ee9ca13c1aeed6b'} +2024-10-30 05:39:59,138 - lightrag - INFO - get_node:query:MATCH (n:`COACH`) RETURN n:result: +2024-10-30 05:39:59,279 - lightrag - INFO - _do_upsert:query: + MERGE (n:`COACH`) + SET n += $properties + RETURN n + :result:{'entity_type': '"CONCEPT"', 'description': '"The Coach is a means of transport that signifies the transition from Scrooge\'s lonely past to the possibility of companionship and warmth."', 'source_id': 'chunk-c6c248858d1b13ab7ee9ca13c1aeed6b'} +2024-10-30 05:39:59,410 - lightrag - INFO - get_node:query:MATCH (n:`THE SCHOOL`) RETURN n:result: +2024-10-30 05:39:59,550 - lightrag - INFO - _do_upsert:query: + MERGE (n:`THE SCHOOL`) + SET n += $properties + RETURN n + :result:{'entity_type': '"ORGANIZATION"', 'description': '"The School represents the institutional aspect of Scrooge\'s childhood, contrasting with the warmth and love represented by Fan."', 'source_id': 'chunk-c6c248858d1b13ab7ee9ca13c1aeed6b'} +2024-10-30 05:39:59,681 - lightrag - INFO - get_node:query:MATCH (n:`COLD`) RETURN n:result: +2024-10-30 05:39:59,819 - lightrag - INFO - _do_upsert:query: + MERGE (n:`COLD`) + SET n += $properties + RETURN n + :result:{'entity_type': '"CONCEPT"', 'description': '"Cold symbolizes the emotional detachment and isolation present in Scrooge\'s life, contrasting with the warmth of family and connection that he longs for."', 'source_id': 'chunk-c6c248858d1b13ab7ee9ca13c1aeed6b'} +2024-10-30 05:39:59,951 - lightrag - INFO - get_node:query:MATCH (n:`EVENING`) RETURN n:result: +2024-10-30 05:40:00,093 - lightrag - INFO - _do_upsert:query: + MERGE (n:`EVENING`) + SET n += $properties + RETURN n + :result:{'entity_type': '"EVENT"', 'description': '"Evening represents a time of transition and reflection as Scrooge recalls his past and seeks transformation."', 'source_id': 'chunk-c6c248858d1b13ab7ee9ca13c1aeed6b'} +2024-10-30 05:40:00,229 - lightrag - INFO - get_node:query:MATCH (n:`THE PARTY`) RETURN n:result:"The Party refers to the potential gathering for the funeral, which the characters consider with amusement rather than sincerity.""The Party refers to festive gatherings that Fezziwig hosts, showcasing joy and camaraderie during the Christmas season."', 'source_id': 'chunk-c6c248858d1b13ab7ee9ca13c1aeed6bchunk-94bea83e7153fc2064aa382b494936a1chunk-f1a4fbcf1ed86864b9bfd5e8dba4c683'}> +2024-10-30 05:40:00,366 - lightrag - INFO - _do_upsert:query: + MERGE (n:`THE PARTY`) + SET n += $properties + RETURN n + :result:{'entity_type': '"EVENT"', 'description': '"The Party is a festive gathering that celebrates Christmas, filled with games and joyful unity among friends and family.""The Party refers to the potential gathering for the funeral, which the characters consider with amusement rather than sincerity.""The Party refers to festive gatherings that Fezziwig hosts, showcasing joy and camaraderie during the Christmas season.""The Party refers to festive gatherings that Fezziwig hosts, showcasing joy and camaraderie during the Christmas season."', 'source_id': 'chunk-c6c248858d1b13ab7ee9ca13c1aeed6bchunk-f1a4fbcf1ed86864b9bfd5e8dba4c683chunk-94bea83e7153fc2064aa382b494936a1'} +2024-10-30 05:40:00,505 - lightrag - INFO - get_node:query:MATCH (n:`THE CHILDREN`) RETURN n:result:"The Children are a lively group in the matron\'s home, symbolizing joy, chaos, and familial warmth.""The Children in the Cratchit family represent innocence and curiosity, highlighting the effects of their family\'s struggles on their happiness.""The Children refer to the group of young individuals filled with wonder and delight during the Christmas festivities.""The Children serve as symbols of innocence and joy, representing the untainted happiness of childhood that Scrooge longs to reconnect with.""The children are the offspring of the Cratchit family, showcasing innocence and joy during the Christmas celebrations, reacting with laughter and cheer."', 'source_id': 'chunk-83ac129dc9b56f84c46760d153d68e93chunk-c6c248858d1b13ab7ee9ca13c1aeed6bchunk-19d72c57ae3408758b18d2568e86dc6bchunk-da2472b4ef2a535b62908f14d0fb0ca9chunk-54bdd22db1f84a965b5f4c06c9216d8d'}> +2024-10-30 05:40:00,645 - lightrag - INFO - _do_upsert:query: + MERGE (n:`THE CHILDREN`) + SET n += $properties + RETURN n + :result:{'entity_type': '"PERSON"', 'description': '"The Children are a group experiencing feelings of wonder and delight during the gift-giving scene, highlighting innocence and joy.""The Children are a group experiencing feelings of wonder and delight during the gift-giving scene, highlighting innocence and joy.""The Children are a lively group in the matron\'s home, symbolizing joy, chaos, and familial warmth.""The Children in the Cratchit family represent innocence and curiosity, highlighting the effects of their family\'s struggles on their happiness.""The Children refer to the group of young individuals filled with wonder and delight during the Christmas festivities.""The Children serve as symbols of innocence and joy, representing the untainted happiness of childhood that Scrooge longs to reconnect with.""The children are the offspring of the Cratchit family, showcasing innocence and joy during the Christmas celebrations, reacting with laughter and cheer.""The Children are a lively group in the matron\'s home, symbolizing joy, chaos, and familial warmth.""The Children in the Cratchit family represent innocence and curiosity, highlighting the effects of their family\'s struggles on their happiness.""The Children serve as symbols of innocence and joy, representing the untainted happiness of childhood that Scrooge longs to reconnect with.""The children are the offspring of the Cratchit family, showcasing innocence and joy during the Christmas celebrations, reacting with laughter and cheer."', 'source_id': 'chunk-83ac129dc9b56f84c46760d153d68e93chunk-19d72c57ae3408758b18d2568e86dc6bchunk-c6c248858d1b13ab7ee9ca13c1aeed6bchunk-da2472b4ef2a535b62908f14d0fb0ca9chunk-54bdd22db1f84a965b5f4c06c9216d8d'} +2024-10-30 05:40:00,781 - lightrag - INFO - get_node:query:MATCH (n:`A COACH TO BRING YOU HOME`) RETURN n:result: +2024-10-30 05:40:00,915 - lightrag - INFO - _do_upsert:query: + MERGE (n:`A COACH TO BRING YOU HOME`) + SET n += $properties + RETURN n + :result:{'entity_type': '"CONCEPT"', 'description': '"A Coach to Bring You Home symbolizes the hope and opportunity for reconnection and warmth in Scrooge\'s life."', 'source_id': 'chunk-c6c248858d1b13ab7ee9ca13c1aeed6b'} +2024-10-30 05:40:01,048 - lightrag - INFO - get_node:query:MATCH (n:`THE DANCERS`) RETURN n:result: +2024-10-30 05:40:01,185 - lightrag - INFO - _do_upsert:query: + MERGE (n:`THE DANCERS`) + SET n += $properties + RETURN n + :result:{'entity_type': '"ORGANIZATION"', 'description': '"The Dancers represent the lively group of people celebrating and participating in the festivities organized by Fezziwig."', 'source_id': 'chunk-8bc1edd983869352d14cf0886a9175a7'} +2024-10-30 05:40:01,317 - lightrag - INFO - get_node:query:MATCH (n:`THE FIDDLER`) RETURN n:result:"The Fiddler is a musician who plays during the festivities, contributing to the atmosphere of joy and celebration."', 'source_id': 'chunk-8bc1edd983869352d14cf0886a9175a7'}> +2024-10-30 05:40:01,456 - lightrag - INFO - _do_upsert:query: + MERGE (n:`THE FIDDLER`) + SET n += $properties + RETURN n + :result:{'entity_type': '"PERSON"', 'description': '"The Fiddler is a musician who plays at Fezziwig\'s celebration, providing music for the dancers and contributing to the festive atmosphere.""The Fiddler is a musician who plays at Fezziwig\'s celebration, providing music for the dancers and contributing to the festive atmosphere.""The Fiddler is a musician who plays during the festivities, contributing to the atmosphere of joy and celebration."', 'source_id': 'chunk-8bc1edd983869352d14cf0886a9175a7'} +2024-10-30 05:40:01,590 - lightrag - INFO - get_node:query:MATCH (n:`THE THREE MISS FEZZIWIGS`) RETURN n:result: +2024-10-30 05:40:01,729 - lightrag - INFO - _do_upsert:query: + MERGE (n:`THE THREE MISS FEZZIWIGS`) + SET n += $properties + RETURN n + :result:{'entity_type': '"PERSON"', 'description': '"The Three Miss Fezziwigs are jovial participants in the celebration, characterized by their lovable demeanor."', 'source_id': 'chunk-8bc1edd983869352d14cf0886a9175a7'} +2024-10-30 05:40:01,859 - lightrag - INFO - get_node:query:MATCH (n:`YOUNG FOLLOWERS`) RETURN n:result: +2024-10-30 05:40:02,002 - lightrag - INFO - _do_upsert:query: + MERGE (n:`YOUNG FOLLOWERS`) + SET n += $properties + RETURN n + :result:{'entity_type': '"ORGANIZATION"', 'description': '"The Young Followers consist of several young men and women who are employed in Fezziwig\'s business and participate in the festivities."', 'source_id': 'chunk-8bc1edd983869352d14cf0886a9175a7'} +2024-10-30 05:40:02,133 - lightrag - INFO - get_node:query:MATCH (n:`THE HOUSEMAID`) RETURN n:result:"The Housemaid is mentioned as part of the domestic staff involved in the celebration, contributing to the jovial atmosphere."', 'source_id': 'chunk-8bc1edd983869352d14cf0886a9175a7'}> +2024-10-30 05:40:02,271 - lightrag - INFO - _do_upsert:query: + MERGE (n:`THE HOUSEMAID`) + SET n += $properties + RETURN n + :result:{'entity_type': '"PERSON"', 'description': '"The Housemaid is a character present during the celebrations, contributing to the lively atmosphere of the evening.""The Housemaid is a character present during the celebrations, contributing to the lively atmosphere of the evening.""The Housemaid is mentioned as part of the domestic staff involved in the celebration, contributing to the jovial atmosphere."', 'source_id': 'chunk-8bc1edd983869352d14cf0886a9175a7'} +2024-10-30 05:40:02,403 - lightrag - INFO - get_node:query:MATCH (n:`THE COOK`) RETURN n:result:"The Cook is part of the household and participates in the festive gathering, alongside other staff."', 'source_id': 'chunk-8bc1edd983869352d14cf0886a9175a7'}> +2024-10-30 05:40:02,541 - lightrag - INFO - _do_upsert:query: + MERGE (n:`THE COOK`) + SET n += $properties + RETURN n + :result:{'entity_type': '"PERSON"', 'description': '"The Cook is another character involved in the celebrations, participating in the festivities alongside other guests.""The Cook is another character involved in the celebrations, participating in the festivities alongside other guests.""The Cook is part of the household and participates in the festive gathering, alongside other staff."', 'source_id': 'chunk-8bc1edd983869352d14cf0886a9175a7'} +2024-10-30 05:40:02,681 - lightrag - INFO - get_node:query:MATCH (n:`THE BAKER`) RETURN n:result:"The Baker is related to the Housemaid and present during the celebrations, adding to the communal aspect of the event."', 'source_id': 'chunk-8bc1edd983869352d14cf0886a9175a7'}> +2024-10-30 05:40:02,817 - lightrag - INFO - _do_upsert:query: + MERGE (n:`THE BAKER`) + SET n += $properties + RETURN n + :result:{'entity_type': '"PERSON"', 'description': '"The Baker is a cousin to the housemaid, indicating the interconnectedness of the household staff during the festivities.""The Baker is related to the Housemaid and present during the celebrations, adding to the communal aspect of the event.""The Baker is related to the Housemaid and present during the celebrations, adding to the communal aspect of the event."', 'source_id': 'chunk-8bc1edd983869352d14cf0886a9175a7'} +2024-10-30 05:40:02,955 - lightrag - INFO - get_node:query:MATCH (n:`THE BOY FROM OVER THE WAY`) RETURN n:result: +2024-10-30 05:40:03,092 - lightrag - INFO - _do_upsert:query: + MERGE (n:`THE BOY FROM OVER THE WAY`) + SET n += $properties + RETURN n + :result:{'entity_type': '"PERSON"', 'description': '"The Boy from Over the Way is a humorous character trying to hide behind another participant, showcasing the inclusiveness of the celebrations."', 'source_id': 'chunk-8bc1edd983869352d14cf0886a9175a7'} +2024-10-30 05:40:03,227 - lightrag - INFO - get_node:query:MATCH (n:`THE GIRL FROM NEXT DOOR`) RETURN n:result: +2024-10-30 05:40:03,365 - lightrag - INFO - _do_upsert:query: + MERGE (n:`THE GIRL FROM NEXT DOOR`) + SET n += $properties + RETURN n + :result:{'entity_type': '"PERSON"', 'description': '"The Girl from Next Door is referenced as hiding from the Boy, illustrating the interactions during the event."', 'source_id': 'chunk-8bc1edd983869352d14cf0886a9175a7'} +2024-10-30 05:40:03,496 - lightrag - INFO - get_node:query:MATCH (n:`DICK`) RETURN n:result:"Dick is associated with Scrooge\'s former self, evoking nostalgic memories as Scrooge witnesses the past."', 'source_id': 'chunk-b2f98bc7abb0c67d4c86055c7fd72218'}> +2024-10-30 05:40:03,642 - lightrag - INFO - _do_upsert:query: + MERGE (n:`DICK`) + SET n += $properties + RETURN n + :result:{'entity_type': '"PERSON"', 'description': '"Dick is a character from Scrooge\'s past, reminisced about during the scene, representing the camaraderie shared during the ball.""Dick is associated with Scrooge\'s former self, evoking nostalgic memories as Scrooge witnesses the past.""Dick is associated with Scrooge\'s former self, evoking nostalgic memories as Scrooge witnesses the past."', 'source_id': 'chunk-b2f98bc7abb0c67d4c86055c7fd72218'} +2024-10-30 05:40:03,776 - lightrag - INFO - get_node:query:MATCH (n:`THE GHOST OF CHRISTMAS PAST`) RETURN n:result:"The Ghost of Christmas Past is a supernatural entity that shows Scrooge moments from his past, eliciting reflection and emotion.""The Ghost of Christmas Past represents Scrooge\'s history and helps him confront his former self and decisions made in life."', 'source_id': 'chunk-90b95db5c53e4364a6bee36b7aa4d70fchunk-b2f98bc7abb0c67d4c86055c7fd72218'}> +2024-10-30 05:40:03,915 - lightrag - INFO - _do_upsert:query: + MERGE (n:`THE GHOST OF CHRISTMAS PAST`) + SET n += $properties + RETURN n + :result:{'entity_type': '"EVENT"', 'description': '"The Ghost of Christmas Past is a supernatural entity that allows Scrooge to revisit and reflect on his previous life experiences.""The Ghost of Christmas Past is a supernatural entity that allows Scrooge to revisit and reflect on his previous life experiences.""The Ghost of Christmas Past is a supernatural entity that shows Scrooge moments from his past, eliciting reflection and emotion.""The Ghost of Christmas Past represents Scrooge\'s history and helps him confront his former self and decisions made in life.""The Ghost of Christmas Past represents Scrooge\'s history and helps him confront his former self and decisions made in life."', 'source_id': 'chunk-90b95db5c53e4364a6bee36b7aa4d70fchunk-b2f98bc7abb0c67d4c86055c7fd72218'} +2024-10-30 05:40:04,050 - lightrag - INFO - get_node:query:MATCH (n:`THE DOMESTIC BALL`) RETURN n:result:"The Domestic Ball represents a joyful gathering, fostering a sense of community and happiness among the participants."', 'source_id': 'chunk-b2f98bc7abb0c67d4c86055c7fd72218'}> +2024-10-30 05:40:04,188 - lightrag - INFO - _do_upsert:query: + MERGE (n:`THE DOMESTIC BALL`) + SET n += $properties + RETURN n + :result:{'entity_type': '"EVENT"', 'description': '"The Domestic Ball is a joyful celebration organized by Fezziwig, where guests enjoy dancing and merry exchanges.""The Domestic Ball represents a joyful gathering, fostering a sense of community and happiness among the participants.""The Domestic Ball represents a joyful gathering, fostering a sense of community and happiness among the participants."', 'source_id': 'chunk-b2f98bc7abb0c67d4c86055c7fd72218'} +2024-10-30 05:40:04,324 - lightrag - INFO - get_node:query:MATCH (n:`THE TWO APPRENTICES`) RETURN n:result:"The Two Apprentices are characters present at the Domestic Ball, who express gratitude and admiration for Fezziwig after the event."', 'source_id': 'chunk-b2f98bc7abb0c67d4c86055c7fd72218'}> +2024-10-30 05:40:04,462 - lightrag - INFO - _do_upsert:query: + MERGE (n:`THE TWO APPRENTICES`) + SET n += $properties + RETURN n + :result:{'entity_type': '"PERSON"', 'description': '"The Two Apprentices are characters from Fezziwig\'s establishment who express gratitude and admiration for Fezziwig\'s positive influence during the Domestic Ball.""The Two Apprentices are characters present at the Domestic Ball, who express gratitude and admiration for Fezziwig after the event.""The Two Apprentices are characters present at the Domestic Ball, who express gratitude and admiration for Fezziwig after the event."', 'source_id': 'chunk-b2f98bc7abb0c67d4c86055c7fd72218'} +2024-10-30 05:40:04,593 - lightrag - INFO - get_node:query:MATCH (n:`THE GOLDEN IDOL`) RETURN n:result: +2024-10-30 05:40:04,732 - lightrag - INFO - _do_upsert:query: + MERGE (n:`THE GOLDEN IDOL`) + SET n += $properties + RETURN n + :result:{'entity_type': '"CONCEPT"', 'description': '"The Golden Idol symbolizes materialism and the pursuit of wealth, indicating a shift in Scrooge\'s values over time."', 'source_id': 'chunk-b2f98bc7abb0c67d4c86055c7fd72218'} +2024-10-30 05:40:04,862 - lightrag - INFO - get_node:query:MATCH (n:`THE PRIME OF LIFE`) RETURN n:result: +2024-10-30 05:40:05,000 - lightrag - INFO - _do_upsert:query: + MERGE (n:`THE PRIME OF LIFE`) + SET n += $properties + RETURN n + :result:{'entity_type': '"EVENT"', 'description': '"The Prime of Life refers to a phase in Scrooge\'s youth when he was more carefree before becoming hardened by greed."', 'source_id': 'chunk-b2f98bc7abb0c67d4c86055c7fd72218'} +2024-10-30 05:40:05,132 - lightrag - INFO - get_node:query:MATCH (n:`THE MOURNING DRESS`) RETURN n:result: +2024-10-30 05:40:05,274 - lightrag - INFO - _do_upsert:query: + MERGE (n:`THE MOURNING DRESS`) + SET n += $properties + RETURN n + :result:{'entity_type': '"CONCEPT"', 'description': '"The Mourning Dress symbolizes loss and separation, highlighting the emotional distance between Scrooge and his former love."', 'source_id': 'chunk-b2f98bc7abb0c67d4c86055c7fd72218'} +2024-10-30 05:40:05,405 - lightrag - INFO - get_node:query:MATCH (n:`THE BEAUTIFUL YOUNG GIRL`) RETURN n:result: +2024-10-30 05:40:05,547 - lightrag - INFO - _do_upsert:query: + MERGE (n:`THE BEAUTIFUL YOUNG GIRL`) + SET n += $properties + RETURN n + :result:{'entity_type': '"PERSON"', 'description': '"The Beautiful Young Girl is a figure from Scrooge\'s past, representing lost opportunities and innocence."', 'source_id': 'chunk-54bdd22db1f84a965b5f4c06c9216d8d'} +2024-10-30 05:40:05,682 - lightrag - INFO - get_node:query:MATCH (n:`THE COMELY MATRON`) RETURN n:result: +2024-10-30 05:40:05,817 - lightrag - INFO - _do_upsert:query: + MERGE (n:`THE COMELY MATRON`) + SET n += $properties + RETURN n + :result:{'entity_type': '"PERSON"', 'description': '"The Comely Matron is the grown-up version of the Beautiful Young Girl, emphasizing change and the passage of time."', 'source_id': 'chunk-54bdd22db1f84a965b5f4c06c9216d8d'} +2024-10-30 05:40:05,949 - lightrag - INFO - get_node:query:MATCH (n:`CHRISTMAS TOYS AND PRESENTS`) RETURN n:result:"Christmas Toys and Presents are associated with joy and celebration, marking the festive occasion and the love shared among family.""Christmas Toys and Presents signify the spirit of giving and the excitement that surrounds the holiday season, especially for children."', 'source_id': 'chunk-54bdd22db1f84a965b5f4c06c9216d8dchunk-da2472b4ef2a535b62908f14d0fb0ca9'}> +2024-10-30 05:40:06,084 - lightrag - INFO - _do_upsert:query: + MERGE (n:`CHRISTMAS TOYS AND PRESENTS`) + SET n += $properties + RETURN n + :result:{'entity_type': '"EVENT"', 'description': '"Christmas Toys and Presents are associated with familial love and joy, as they arrive with the father, enhancing the holiday spirit.""Christmas Toys and Presents are associated with familial love and joy, as they arrive with the father, enhancing the holiday spirit.""Christmas Toys and Presents are associated with joy and celebration, marking the festive occasion and the love shared among family.""Christmas Toys and Presents signify the spirit of giving and the excitement that surrounds the holiday season, especially for children.""Christmas Toys and Presents signify the spirit of giving and the excitement that surrounds the holiday season, especially for children."', 'source_id': 'chunk-da2472b4ef2a535b62908f14d0fb0ca9chunk-54bdd22db1f84a965b5f4c06c9216d8d'} +2024-10-30 05:40:06,232 - lightrag - INFO - get_node:query:MATCH (n:`THE ROOM`) RETURN n:result: +2024-10-30 05:40:06,375 - lightrag - INFO - _do_upsert:query: + MERGE (n:`THE ROOM`) + SET n += $properties + RETURN n + :result:{'entity_type': '"GEO"', 'description': '"The Room is described as a cozy, comfortable setting where the comely matron and her children interact during festive times."', 'source_id': 'chunk-54bdd22db1f84a965b5f4c06c9216d8d'} +2024-10-30 05:40:06,508 - lightrag - INFO - get_node:query:MATCH (n:`THE WINTER FIRE`) RETURN n:result: +2024-10-30 05:40:06,645 - lightrag - INFO - _do_upsert:query: + MERGE (n:`THE WINTER FIRE`) + SET n += $properties + RETURN n + :result:{'entity_type': '"EVENT"', 'description': '"The Winter Fire represents warmth and comfort in the room where the matron and children gather, enhancing the festive atmosphere."', 'source_id': 'chunk-54bdd22db1f84a965b5f4c06c9216d8d'} +2024-10-30 05:40:06,781 - lightrag - INFO - get_node:query:MATCH (n:`THE FATHER`) RETURN n:result:"The Father is a character who returns home and is greeted with excitement, embodying family warmth and joy during Christmas celebrations.""The Father is a character who returns home with presents, symbolizing the joy of family and the spirit of giving during Christmas."', 'source_id': 'chunk-54bdd22db1f84a965b5f4c06c9216d8dchunk-da2472b4ef2a535b62908f14d0fb0ca9'}> +2024-10-30 05:40:06,918 - lightrag - INFO - _do_upsert:query: + MERGE (n:`THE FATHER`) + SET n += $properties + RETURN n + :result:{'entity_type': '"PERSON"', 'description': '"The Father is a character who arrives home with Christmas presents, symbolizing familial joy and festive spirit.""The Father is a character who returns home and is greeted with excitement, embodying family warmth and joy during Christmas celebrations.""The Father is a character who returns home with presents, symbolizing the joy of family and the spirit of giving during Christmas.""The Father is a character who returns home and is greeted with excitement, embodying family warmth and joy during Christmas celebrations.""The Father is a character who returns home with presents, symbolizing the joy of family and the spirit of giving during Christmas."', 'source_id': 'chunk-da2472b4ef2a535b62908f14d0fb0ca9chunk-54bdd22db1f84a965b5f4c06c9216d8d'} +2024-10-30 05:40:07,052 - lightrag - INFO - get_node:query:MATCH (n:`THE YOUNG BRIGANDS`) RETURN n:result: +2024-10-30 05:40:07,187 - lightrag - INFO - _do_upsert:query: + MERGE (n:`THE YOUNG BRIGANDS`) + SET n += $properties + RETURN n + :result:{'entity_type': '"PERSON"', 'description': '"The Young Brigands are a playful group of children engaged in merriment and mischief during the festive celebration."', 'source_id': 'chunk-54bdd22db1f84a965b5f4c06c9216d8d'} +2024-10-30 05:40:07,326 - lightrag - INFO - get_node:query:MATCH (n:`THE DOWERLESS GIRL`) RETURN n:result: +2024-10-30 05:40:07,468 - lightrag - INFO - _do_upsert:query: + MERGE (n:`THE DOWERLESS GIRL`) + SET n += $properties + RETURN n + :result:{'entity_type': '"PERSON"', 'description': '"The Dowerless Girl is a symbolic representation of the limitations in relationships based on social and economic status as reflected in Scrooge\'s dialogue."', 'source_id': 'chunk-54bdd22db1f84a965b5f4c06c9216d8d'} +2024-10-30 05:40:07,604 - lightrag - INFO - get_node:query:MATCH (n:`THE MEMORY`) RETURN n:result: +2024-10-30 05:40:07,741 - lightrag - INFO - _do_upsert:query: + MERGE (n:`THE MEMORY`) + SET n += $properties + RETURN n + :result:{'entity_type': '"CONCEPT"', 'description': '"The Memory refers to the recollections of past relationships and feelings that haunt Scrooge as he contemplates his choices."', 'source_id': 'chunk-54bdd22db1f84a965b5f4c06c9216d8d'} +2024-10-30 05:40:07,879 - lightrag - INFO - get_node:query:MATCH (n:`HAPPINESS`) RETURN n:result: +2024-10-30 05:40:08,014 - lightrag - INFO - _do_upsert:query: + MERGE (n:`HAPPINESS`) + SET n += $properties + RETURN n + :result:{'entity_type': '"CONCEPT"', 'description': '"Happiness signifies the conflicting emotions Scrooge feels regarding past love and the reality of his current life choices."', 'source_id': 'chunk-54bdd22db1f84a965b5f4c06c9216d8d'} +2024-10-30 05:40:08,146 - lightrag - INFO - get_node:query:MATCH (n:`HOPE`) RETURN n:result:"Hope represents the aspirations and dreams that characters have, particularly in the context of the matron\'s optimistic nature."', 'source_id': 'chunk-83ac129dc9b56f84c46760d153d68e93chunk-54bdd22db1f84a965b5f4c06c9216d8d'}> +2024-10-30 05:40:08,284 - lightrag - INFO - _do_upsert:query: + MERGE (n:`HOPE`) + SET n += $properties + RETURN n + :result:{'entity_type': '"CONCEPT"', 'description': '"Hope emerges as a central theme in the characters\' lives, particularly through Caroline\'s reaction to news about the husband and the family\'s future.""Hope emerges as a central theme in the characters\' lives, particularly through Caroline\'s reaction to news about the husband and the family\'s future.""Hope represents the aspirations and dreams that characters have, particularly in the context of the matron\'s optimistic nature.""Hope represents the aspirations and dreams that characters have, particularly in the context of the matron\'s optimistic nature."', 'source_id': 'chunk-54bdd22db1f84a965b5f4c06c9216d8dchunk-83ac129dc9b56f84c46760d153d68e93'} +2024-10-30 05:40:08,420 - lightrag - INFO - get_node:query:MATCH (n:`BELLE`) RETURN n:result:"Belle is Scrooge\'s former love, evidence of care and affection, now mentioned in the context of Scrooge’s memories."', 'source_id': 'chunk-da2472b4ef2a535b62908f14d0fb0ca9'}> +2024-10-30 05:40:08,559 - lightrag - INFO - _do_upsert:query: + MERGE (n:`BELLE`) + SET n += $properties + RETURN n + :result:{'entity_type': '"PERSON"', 'description': '"Belle is Scrooge\'s former love whose presence evokes strong feelings of longing and sorrow in Scrooge.""Belle is Scrooge\'s former love, evidence of care and affection, now mentioned in the context of Scrooge’s memories.""Belle is Scrooge\'s former love, evidence of care and affection, now mentioned in the context of Scrooge’s memories."', 'source_id': 'chunk-da2472b4ef2a535b62908f14d0fb0ca9'} +2024-10-30 05:40:08,695 - lightrag - INFO - get_node:query:MATCH (n:`THE OFFICE`) RETURN n:result:"The Office refers to Scrooge\'s workplace, emphasizing his isolation and the business-focused nature of his life.""The Office refers to the workplace where Scrooge and Bob Cratchit interact, highlighting the power dynamics and work-related tension."', 'source_id': 'chunk-91572b3cd42786ba4cb2f180ca25cbf4chunk-94bea83e7153fc2064aa382b494936a1chunk-da2472b4ef2a535b62908f14d0fb0ca9'}> +2024-10-30 05:40:08,835 - lightrag - INFO - _do_upsert:query: + MERGE (n:`THE OFFICE`) + SET n += $properties + RETURN n + :result:{'entity_type': '"ORGANIZATION"', 'description': '"The Office is Scrooge\'s workplace, signifying his past life and the memories associated with his business dealings.""The Office is Scrooge\'s workplace, signifying his past life and the memories associated with his business dealings.""The Office refers to Scrooge\'s workplace, emphasizing his isolation and the business-focused nature of his life.""The Office refers to the workplace where Scrooge and Bob Cratchit interact, highlighting the power dynamics and work-related tension.""The Office refers to Scrooge\'s workplace, emphasizing his isolation and the business-focused nature of his life.""The Office refers to the workplace where Scrooge and Bob Cratchit interact, highlighting the power dynamics and work-related tension."', 'source_id': 'chunk-da2472b4ef2a535b62908f14d0fb0ca9chunk-94bea83e7153fc2064aa382b494936a1chunk-91572b3cd42786ba4cb2f180ca25cbf4'} +2024-10-30 05:40:08,970 - lightrag - INFO - get_node:query:MATCH (n:`THE PORTER`) RETURN n:result:"The Porter is depicted as a defenseless character being playfully assaulted by the children during their festive excitement."', 'source_id': 'chunk-da2472b4ef2a535b62908f14d0fb0ca9'}> +2024-10-30 05:40:09,107 - lightrag - INFO - _do_upsert:query: + MERGE (n:`THE PORTER`) + SET n += $properties + RETURN n + :result:{'entity_type': '"PERSON"', 'description': '"The Porter is a character who becomes the target of playful affection from the children, showcasing innocence and chaos during celebrations.""The Porter is depicted as a defenseless character being playfully assaulted by the children during their festive excitement.""The Porter is depicted as a defenseless character being playfully assaulted by the children during their festive excitement."', 'source_id': 'chunk-da2472b4ef2a535b62908f14d0fb0ca9'} +2024-10-30 05:40:09,244 - lightrag - INFO - get_node:query:MATCH (n:`THE BABY`) RETURN n:result: +2024-10-30 05:40:09,383 - lightrag - INFO - _do_upsert:query: + MERGE (n:`THE BABY`) + SET n += $properties + RETURN n + :result:{'entity_type': '"PERSON"', 'description': '"The Baby is involved in a comical mishap concerning a doll\'s frying pan, symbolizing the innocence and curiosity of childhood."', 'source_id': 'chunk-da2472b4ef2a535b62908f14d0fb0ca9'} +2024-10-30 05:40:09,517 - lightrag - INFO - get_node:query:MATCH (n:`THE MOTHER`) RETURN n:result:"The Mother is a character associated with the family dynamics during the Christmas scene, though her actions are not explicitly detailed.""The Mother is depicted as a comely matron, who enjoys the laughter and chaos with her children, showing warmth and family value.""The Mother is a character who exhibits anxiety and hope as she awaits her husband\'s return, embodying the emotional depth of family relations during hardship.""The Mother is a character who shares a tender moment with her husband and daughter, representing familial love and connection."', 'source_id': 'chunk-83ac129dc9b56f84c46760d153d68e93chunk-54bdd22db1f84a965b5f4c06c9216d8dchunk-da2472b4ef2a535b62908f14d0fb0ca9'}> +2024-10-30 05:40:09,660 - lightrag - INFO - _do_upsert:query: + MERGE (n:`THE MOTHER`) + SET n += $properties + RETURN n + :result:{'entity_type': '"PERSON"', 'description': '"The Mother exemplifies apprehension and hope regarding her husband\'s return, depicting the emotional burden of waiting and uncertainty.""The Mother is a character associated with the family dynamics during the Christmas scene, though her actions are not explicitly detailed.""The Mother is depicted as a comely matron, who enjoys the laughter and chaos with her children, showing warmth and family value.""The Mother is a character who exhibits anxiety and hope as she awaits her husband\'s return, embodying the emotional depth of family relations during hardship.""The Mother is a character who shares a tender moment with her husband and daughter, representing familial love and connection.""The Mother is a character who exhibits anxiety and hope as she awaits her husband\'s return, embodying the emotional depth of family relations during hardship.""The Mother is a character who shares a tender moment with her husband and daughter, representing familial love and connection."', 'source_id': 'chunk-da2472b4ef2a535b62908f14d0fb0ca9chunk-54bdd22db1f84a965b5f4c06c9216d8dchunk-83ac129dc9b56f84c46760d153d68e93'} +2024-10-30 05:40:09,796 - lightrag - INFO - get_node:query:MATCH (n:`CITY`) RETURN n:result:"The City represents the urban setting where Scrooge witnesses the indifference of its inhabitants regarding his death.""The City represents the urban setting where Scrooge\'s transformation takes place, symbolizing the broader society impacted by his changes.""The City serves as a backdrop where various scenes unfold, representing the hustle of life and economic concerns.""The City symbolizes the urban setting where Scrooge\'s transformation takes place, primarily depicting the contrast between Scrooge\'s isolation and the outer world filled with festivities."', 'source_id': 'chunk-02baee20cc9463dbe08170a8e1043e32chunk-94bea83e7153fc2064aa382b494936a1chunk-843b5b2f944c7413d9ca876e2e2f151f'}> +2024-10-30 05:40:09,934 - lightrag - INFO - _do_upsert:query: + MERGE (n:`CITY`) + SET n += $properties + RETURN n + :result:{'entity_type': '"GEO"', 'description': '"The City refers to a generic location embodying the community and societal norms, with which Scrooge has a complex relationship.""The City represents the urban setting where Scrooge witnesses the indifference of its inhabitants regarding his death.""The City represents the urban setting where Scrooge\'s transformation takes place, symbolizing the broader society impacted by his changes.""The City serves as a backdrop where various scenes unfold, representing the hustle of life and economic concerns.""The City symbolizes the urban setting where Scrooge\'s transformation takes place, primarily depicting the contrast between Scrooge\'s isolation and the outer world filled with festivities.""The City serves as a backdrop where various scenes unfold, representing the hustle of life and economic concerns.""The City symbolizes the urban setting where Scrooge\'s transformation takes place, primarily depicting the contrast between Scrooge\'s isolation and the outer world filled with festivities."', 'source_id': 'chunk-843b5b2f944c7413d9ca876e2e2f151fchunk-94bea83e7153fc2064aa382b494936a1chunk-02baee20cc9463dbe08170a8e1043e32'} +2024-10-30 05:40:10,072 - lightrag - INFO - get_node:query:MATCH (n:`SPIRIT`) RETURN n:result:"The Spirit embodies the lessons of compassion and social responsibility, guiding Scrooge through his reflections and realizations.""The Spirit is the manifestation of Scrooge\'s past that guides him through his memories, representing his former self and the influence of time.""The Spirit represents a ghostly entity, guiding Scrooge through visions of potential future events and urging him to acknowledge societal issues.""The Spirit represents a supernatural entity guiding Scrooge through his reflections on life, death, and human emotions, prompting self-awareness.""The Spirit represents the embodiment of the Christmas present, personifying the themes of generosity and merriment.""The Spirit refers to the Ghost of Christmas Present, which embodies the essence of the Christmas season and serves as a guide for Scrooge.""The Spirit represents a ghostly figure guiding Scrooge through reflections related to a death, illustrating lessons about life and mortality.""The Spirit represents a supernatural being guiding Scrooge through lessons about the consequences of his actions and the future.""The Spirit represents a supernatural entity guiding Scrooge and teaching him lessons about compassion and humanity."', 'source_id': 'chunk-e7637ff18c5ded77a68cce0a87883fadchunk-83ac129dc9b56f84c46760d153d68e93chunk-02baee20cc9463dbe08170a8e1043e32chunk-bb21d58d36c6306fd8810ddd51c4a971chunk-1aa50206d02ed89418f65f97c6441d1cchunk-843b5b2f944c7413d9ca876e2e2f151f'}> +2024-10-30 05:40:10,209 - lightrag - INFO - _do_upsert:query: + MERGE (n:`SPIRIT`) + SET n += $properties + RETURN n + :result:{'entity_type': '"EVENT"', 'description': '"Spirit represents the essence of Marley that is attempting to interact with Scrooge, indicating themes of afterlife and unresolved issues.""The Spirit embodies the lessons of compassion and social responsibility, guiding Scrooge through his reflections and realizations.""The Spirit is the manifestation of Scrooge\'s past that guides him through his memories, representing his former self and the influence of time.""The Spirit represents a ghostly entity, guiding Scrooge through visions of potential future events and urging him to acknowledge societal issues.""The Spirit represents a supernatural entity guiding Scrooge through his reflections on life, death, and human emotions, prompting self-awareness.""The Spirit represents the embodiment of the Christmas present, personifying the themes of generosity and merriment.""The Spirit refers to the Ghost of Christmas Present, which embodies the essence of the Christmas season and serves as a guide for Scrooge.""The Spirit represents a ghostly figure guiding Scrooge through reflections related to a death, illustrating lessons about life and mortality.""The Spirit represents a supernatural being guiding Scrooge through lessons about the consequences of his actions and the future.""The Spirit represents a supernatural entity guiding Scrooge and teaching him lessons about compassion and humanity.""The Spirit refers to the Ghost of Christmas Present, which embodies the essence of the Christmas season and serves as a guide for Scrooge.""The Spirit represents a ghostly figure guiding Scrooge through reflections related to a death, illustrating lessons about life and mortality.""The Spirit represents a supernatural being guiding Scrooge through lessons about the consequences of his actions and the future.""The Spirit represents a supernatural entity guiding Scrooge and teaching him lessons about compassion and humanity."', 'source_id': 'chunk-843b5b2f944c7413d9ca876e2e2f151fchunk-e7637ff18c5ded77a68cce0a87883fadchunk-83ac129dc9b56f84c46760d153d68e93chunk-1aa50206d02ed89418f65f97c6441d1cchunk-bb21d58d36c6306fd8810ddd51c4a971chunk-02baee20cc9463dbe08170a8e1043e32'} +2024-10-30 05:40:10,345 - lightrag - INFO - get_node:query:MATCH (n:`MISTLETOE`) RETURN n:result:"Mistletoe is a traditional plant used for decoration during Christmas, symbolizing joy and a festive spirit.""Mistletoe is described in the context of Christmas decorations, often used for kissing and holiday celebrations."', 'source_id': 'chunk-99b0ec7f7e006561352b5d65e849611dchunk-843b5b2f944c7413d9ca876e2e2f151f'}> +2024-10-30 05:40:10,487 - lightrag - INFO - _do_upsert:query: + MERGE (n:`MISTLETOE`) + SET n += $properties + RETURN n + :result:{'entity_type': '"ORGANIZATION"', 'description': '"Mistletoe is a plant used as a Christmas decoration, symbolizing love and goodwill during the holiday season.""Mistletoe is a plant used as a Christmas decoration, symbolizing love and goodwill during the holiday season.""Mistletoe is a traditional plant used for decoration during Christmas, symbolizing joy and a festive spirit.""Mistletoe is described in the context of Christmas decorations, often used for kissing and holiday celebrations.""Mistletoe is described in the context of Christmas decorations, often used for kissing and holiday celebrations."', 'source_id': 'chunk-843b5b2f944c7413d9ca876e2e2f151fchunk-99b0ec7f7e006561352b5d65e849611d'} +2024-10-30 05:40:10,622 - lightrag - INFO - get_node:query:MATCH (n:`RED BERRIES`) RETURN n:result:"Red Berries are festive decorations representing the colors of Christmas, enhancing the holiday atmosphere."', 'source_id': 'chunk-99b0ec7f7e006561352b5d65e849611dchunk-843b5b2f944c7413d9ca876e2e2f151f'}> +2024-10-30 05:40:10,760 - lightrag - INFO - _do_upsert:query: + MERGE (n:`RED BERRIES`) + SET n += $properties + RETURN n + :result:{'entity_type': '"ORGANIZATION"', 'description': '"Red Berries are decorative elements commonly used during Christmas decorations, adding color and festivity.""Red Berries are decorative elements commonly used during Christmas decorations, adding color and festivity.""Red Berries are festive decorations representing the colors of Christmas, enhancing the holiday atmosphere.""Red Berries are festive decorations representing the colors of Christmas, enhancing the holiday atmosphere."', 'source_id': 'chunk-843b5b2f944c7413d9ca876e2e2f151fchunk-99b0ec7f7e006561352b5d65e849611d'} +2024-10-30 05:40:10,894 - lightrag - INFO - get_node:query:MATCH (n:`TURKEYS`) RETURN n:result:"Turkeys represent a common food item associated with the Christmas feast, highlighting the culinary aspects of the celebration.""Turkeys are food items prominently featured in Christmas meals, representing a festive celebration of the holiday.""Turkeys are part of the Christmas feast, symbolizing the abundance and sharing associated with the holiday."', 'source_id': 'chunk-99b0ec7f7e006561352b5d65e849611dchunk-843b5b2f944c7413d9ca876e2e2f151f'}> +2024-10-30 05:40:11,032 - lightrag - INFO - _do_upsert:query: + MERGE (n:`TURKEYS`) + SET n += $properties + RETURN n + :result:{'entity_type': '"ORGANIZATION"', 'description': '"Turkeys are described as part of a lavish spread that symbolizes the abundance and joy of the Christmas season.""Turkeys represent a common food item associated with the Christmas feast, highlighting the culinary aspects of the celebration.""Turkeys are food items prominently featured in Christmas meals, representing a festive celebration of the holiday.""Turkeys are part of the Christmas feast, symbolizing the abundance and sharing associated with the holiday.""Turkeys are food items prominently featured in Christmas meals, representing a festive celebration of the holiday.""Turkeys are part of the Christmas feast, symbolizing the abundance and sharing associated with the holiday."', 'source_id': 'chunk-843b5b2f944c7413d9ca876e2e2f151fchunk-99b0ec7f7e006561352b5d65e849611d'} +2024-10-30 05:40:11,168 - lightrag - INFO - get_node:query:MATCH (n:`POULTRY`) RETURN n:result:"Poultry refers to various birds used for Christmas meals, representing the culinary traditions of the holiday.""Poultry represents a variety of birds that are often prepared for Christmas dinners, enhancing the festive festivities."', 'source_id': 'chunk-99b0ec7f7e006561352b5d65e849611dchunk-843b5b2f944c7413d9ca876e2e2f151f'}> +2024-10-30 05:40:11,305 - lightrag - INFO - _do_upsert:query: + MERGE (n:`POULTRY`) + SET n += $properties + RETURN n + :result:{'entity_type': '"ORGANIZATION"', 'description': '"Poultry is another aspect of the Christmas feast, representing the various traditions of holiday meals.""Poultry is another aspect of the Christmas feast, representing the various traditions of holiday meals.""Poultry refers to various birds used for Christmas meals, representing the culinary traditions of the holiday.""Poultry represents a variety of birds that are often prepared for Christmas dinners, enhancing the festive festivities.""Poultry represents a variety of birds that are often prepared for Christmas dinners, enhancing the festive festivities."', 'source_id': 'chunk-843b5b2f944c7413d9ca876e2e2f151fchunk-99b0ec7f7e006561352b5d65e849611d'} +2024-10-30 05:40:11,441 - lightrag - INFO - get_node:query:MATCH (n:`MEAT`) RETURN n:result:"Meat serves as a general representation of the food consumed during Christmas celebrations, contributing to the holiday meals."', 'source_id': 'chunk-99b0ec7f7e006561352b5d65e849611dchunk-843b5b2f944c7413d9ca876e2e2f151f'}> +2024-10-30 05:40:11,580 - lightrag - INFO - _do_upsert:query: + MERGE (n:`MEAT`) + SET n += $properties + RETURN n + :result:{'entity_type': '"ORGANIZATION"', 'description': '"Meat refers to a significant part of the Christmas feast, further emphasizing the theme of abundance during the holiday.""Meat refers to a significant part of the Christmas feast, further emphasizing the theme of abundance during the holiday.""Meat serves as a general representation of the food consumed during Christmas celebrations, contributing to the holiday meals.""Meat serves as a general representation of the food consumed during Christmas celebrations, contributing to the holiday meals."', 'source_id': 'chunk-843b5b2f944c7413d9ca876e2e2f151fchunk-99b0ec7f7e006561352b5d65e849611d'} +2024-10-30 05:40:11,714 - lightrag - INFO - get_node:query:MATCH (n:`SAUSAGES`) RETURN n:result:"Sausages are food items mentioned that may be served during Christmas festivities, adding to the variety of traditional foods.""Sausages contribute to the rich variety of foods present at the celebration, reflecting festive abundance."', 'source_id': 'chunk-99b0ec7f7e006561352b5d65e849611dchunk-843b5b2f944c7413d9ca876e2e2f151f'}> +2024-10-30 05:40:11,853 - lightrag - INFO - _do_upsert:query: + MERGE (n:`SAUSAGES`) + SET n += $properties + RETURN n + :result:{'entity_type': '"ORGANIZATION"', 'description': '"Sausages are festive foods that complement the traditional Christmas meal, adding to the variety of the feast.""Sausages are festive foods that complement the traditional Christmas meal, adding to the variety of the feast.""Sausages are food items mentioned that may be served during Christmas festivities, adding to the variety of traditional foods.""Sausages contribute to the rich variety of foods present at the celebration, reflecting festive abundance.""Sausages are food items mentioned that may be served during Christmas festivities, adding to the variety of traditional foods."', 'source_id': 'chunk-843b5b2f944c7413d9ca876e2e2f151fchunk-99b0ec7f7e006561352b5d65e849611d'} +2024-10-30 05:40:11,984 - lightrag - INFO - get_node:query:MATCH (n:`OYSTERS`) RETURN n:result:"Oysters represent a delicacy often served during Christmas, symbolizing luxury and celebration."', 'source_id': 'chunk-99b0ec7f7e006561352b5d65e849611dchunk-843b5b2f944c7413d9ca876e2e2f151f'}> +2024-10-30 05:40:12,121 - lightrag - INFO - _do_upsert:query: + MERGE (n:`OYSTERS`) + SET n += $properties + RETURN n + :result:{'entity_type': '"ORGANIZATION"', 'description': '"Oysters are considered delicacies that can enhance special occasions such as Christmas, indicating celebratory dining.""Oysters are considered delicacies that can enhance special occasions such as Christmas, indicating celebratory dining.""Oysters represent a delicacy often served during Christmas, symbolizing luxury and celebration.""Oysters represent a delicacy often served during Christmas, symbolizing luxury and celebration."', 'source_id': 'chunk-843b5b2f944c7413d9ca876e2e2f151fchunk-99b0ec7f7e006561352b5d65e849611d'} +2024-10-30 05:40:12,257 - lightrag - INFO - get_node:query:MATCH (n:`PIES`) RETURN n:result:"Pies, often sweet, are traditional desserts served during Christmas, symbolizing festive dessert offerings."', 'source_id': 'chunk-99b0ec7f7e006561352b5d65e849611dchunk-843b5b2f944c7413d9ca876e2e2f151f'}> +2024-10-30 05:40:12,399 - lightrag - INFO - _do_upsert:query: + MERGE (n:`PIES`) + SET n += $properties + RETURN n + :result:{'entity_type': '"ORGANIZATION"', 'description': '"Pies are a traditional dessert during the Christmas season, embodying the spirit of sharing and celebration.""Pies are a traditional dessert during the Christmas season, embodying the spirit of sharing and celebration.""Pies, often sweet, are traditional desserts served during Christmas, symbolizing festive dessert offerings.""Pies, often sweet, are traditional desserts served during Christmas, symbolizing festive dessert offerings."', 'source_id': 'chunk-843b5b2f944c7413d9ca876e2e2f151fchunk-99b0ec7f7e006561352b5d65e849611d'} +2024-10-30 05:40:12,535 - lightrag - INFO - get_node:query:MATCH (n:`PUDDINGS`) RETURN n:result:"Puddings are showcased as a traditional dessert during Christmas celebrations, central to holiday meals."', 'source_id': 'chunk-99b0ec7f7e006561352b5d65e849611dchunk-843b5b2f944c7413d9ca876e2e2f151f'}> +2024-10-30 05:40:12,672 - lightrag - INFO - _do_upsert:query: + MERGE (n:`PUDDINGS`) + SET n += $properties + RETURN n + :result:{'entity_type': '"ORGANIZATION"', 'description': '"Puddings are a classic Christmas dessert, symbolizing warmth and indulgence during the holiday.""Puddings are a classic Christmas dessert, symbolizing warmth and indulgence during the holiday.""Puddings are showcased as a traditional dessert during Christmas celebrations, central to holiday meals.""Puddings are showcased as a traditional dessert during Christmas celebrations, central to holiday meals."', 'source_id': 'chunk-843b5b2f944c7413d9ca876e2e2f151fchunk-99b0ec7f7e006561352b5d65e849611d'} +2024-10-30 05:40:12,809 - lightrag - INFO - get_node:query:MATCH (n:`FRUIT`) RETURN n:result:"Fruit represents the fresh produce that accompanies holiday meals, bringing color and variety to the Christmas table."', 'source_id': 'chunk-99b0ec7f7e006561352b5d65e849611dchunk-843b5b2f944c7413d9ca876e2e2f151f'}> +2024-10-30 05:40:12,946 - lightrag - INFO - _do_upsert:query: + MERGE (n:`FRUIT`) + SET n += $properties + RETURN n + :result:{'entity_type': '"ORGANIZATION"', 'description': '"Fruit represents a staple part of the Christmas spread, emphasizing freshness and the joy of sharing.""Fruit represents a staple part of the Christmas spread, emphasizing freshness and the joy of sharing.""Fruit represents the fresh produce that accompanies holiday meals, bringing color and variety to the Christmas table.""Fruit represents the fresh produce that accompanies holiday meals, bringing color and variety to the Christmas table."', 'source_id': 'chunk-843b5b2f944c7413d9ca876e2e2f151fchunk-99b0ec7f7e006561352b5d65e849611d'} +2024-10-30 05:40:13,077 - lightrag - INFO - get_node:query:MATCH (n:`PUNCH`) RETURN n:result:"Punch refers to a festive drink that is often served at Christmas gatherings, contributing to the celebration."', 'source_id': 'chunk-99b0ec7f7e006561352b5d65e849611dchunk-843b5b2f944c7413d9ca876e2e2f151f'}> +2024-10-30 05:40:13,214 - lightrag - INFO - _do_upsert:query: + MERGE (n:`PUNCH`) + SET n += $properties + RETURN n + :result:{'entity_type': '"ORGANIZATION"', 'description': '"Punch is a festive beverage that is often served during Christmas celebrations, adding to the holiday spirit.""Punch is a festive beverage that is often served during Christmas celebrations, adding to the holiday spirit.""Punch refers to a festive drink that is often served at Christmas gatherings, contributing to the celebration.""Punch refers to a festive drink that is often served at Christmas gatherings, contributing to the celebration."', 'source_id': 'chunk-843b5b2f944c7413d9ca876e2e2f151fchunk-99b0ec7f7e006561352b5d65e849611d'} +2024-10-30 05:40:13,351 - lightrag - INFO - get_node:query:MATCH (n:`ANTIQUE SCABBARD`) RETURN n:result: +2024-10-30 05:40:13,488 - lightrag - INFO - _do_upsert:query: + MERGE (n:`ANTIQUE SCABBARD`) + SET n += $properties + RETURN n + :result:{'entity_type': '"ORGANIZATION"', 'description': '"The Antique Scabbard is a symbolic object seen on the Ghost, representing the notion of protection and history."', 'source_id': 'chunk-843b5b2f944c7413d9ca876e2e2f151f'} +2024-10-30 05:40:13,624 - lightrag - INFO - get_node:query:MATCH (n:`GREAT BRITAIN`) RETURN n:result:"Great Britain is referenced as a location suffering from severe weather, which contrasts with the cheerful activities of its people during Christmas."', 'source_id': 'chunk-99b0ec7f7e006561352b5d65e849611d'}> +2024-10-30 05:40:13,762 - lightrag - INFO - _do_upsert:query: + MERGE (n:`GREAT BRITAIN`) + SET n += $properties + RETURN n + :result:{'entity_type': '"GEO"', 'description': '"Great Britain is a location mentioned as having chimneys that appear to be catching fire and is the setting for a gloomy climate during Christmas time.""Great Britain is a location mentioned as having chimneys that appear to be catching fire and is the setting for a gloomy climate during Christmas time.""Great Britain is referenced as a location suffering from severe weather, which contrasts with the cheerful activities of its people during Christmas."', 'source_id': 'chunk-99b0ec7f7e006561352b5d65e849611d'} +2024-10-30 05:40:13,895 - lightrag - INFO - get_node:query:MATCH (n:`GROCERS'`) RETURN n:result: +2024-10-30 05:40:14,032 - lightrag - INFO - _do_upsert:query: + MERGE (n:`GROCERS'`) + SET n += $properties + RETURN n + :result:{'entity_type': '"ORGANIZATION"', 'description': '"Grocers\' is an organization described as nearly closed yet bustling with eager customers, showcasing a variety of goods typical for Christmas time."', 'source_id': 'chunk-99b0ec7f7e006561352b5d65e849611d'} +2024-10-30 05:40:14,164 - lightrag - INFO - get_node:query:MATCH (n:`PEOPLE`) RETURN n:result: +2024-10-30 05:40:14,301 - lightrag - INFO - _do_upsert:query: + MERGE (n:`PEOPLE`) + SET n += $properties + RETURN n + :result:{'entity_type': '"ORGANIZATION"', 'description': '"The People represent the community celebrating Christmas, exhibiting joy, humor, and eagerness amidst the dreary weather."', 'source_id': 'chunk-99b0ec7f7e006561352b5d65e849611d'} +2024-10-30 05:40:14,435 - lightrag - INFO - get_node:query:MATCH (n:`GEESE`) RETURN n:result:"Geese are another traditional food item during Christmas, contributing to the festive dining experiences.""Geese are included in the festive feast, representing the bounty and celebration associated with Christmas."', 'source_id': 'chunk-99b0ec7f7e006561352b5d65e849611dchunk-843b5b2f944c7413d9ca876e2e2f151f'}> +2024-10-30 05:40:14,572 - lightrag - INFO - _do_upsert:query: + MERGE (n:`GEESE`) + SET n += $properties + RETURN n + :result:{'entity_type': '"ORGANIZATION"', 'description': '"Geese are also traditional food items that may be included in Christmas feasts, adding to the holiday cheer.""Geese are also traditional food items that may be included in Christmas feasts, adding to the holiday cheer.""Geese are another traditional food item during Christmas, contributing to the festive dining experiences.""Geese are included in the festive feast, representing the bounty and celebration associated with Christmas."', 'source_id': 'chunk-843b5b2f944c7413d9ca876e2e2f151fchunk-99b0ec7f7e006561352b5d65e849611d'} +2024-10-30 05:40:14,710 - lightrag - INFO - get_node:query:MATCH (n:`BRAWN`) RETURN n:result:"Brawn refers to a traditional meat dish that may be part of Christmas festivities, highlighting culinary practices of the season."', 'source_id': 'chunk-99b0ec7f7e006561352b5d65e849611dchunk-843b5b2f944c7413d9ca876e2e2f151f'}> +2024-10-30 05:40:14,850 - lightrag - INFO - _do_upsert:query: + MERGE (n:`BRAWN`) + SET n += $properties + RETURN n + :result:{'entity_type': '"ORGANIZATION"', 'description': '"Brawn is a type of meat included in the festive gathering, representing the richness of the Christmas feast.""Brawn refers to a traditional meat dish that may be part of Christmas festivities, highlighting culinary practices of the season.""Brawn refers to a traditional meat dish that may be part of Christmas festivities, highlighting culinary practices of the season."', 'source_id': 'chunk-843b5b2f944c7413d9ca876e2e2f151fchunk-99b0ec7f7e006561352b5d65e849611d'} +2024-10-30 05:40:14,986 - lightrag - INFO - get_node:query:MATCH (n:`CITY STREETS`) RETURN n:result: +2024-10-30 05:40:15,125 - lightrag - INFO - _do_upsert:query: + MERGE (n:`CITY STREETS`) + SET n += $properties + RETURN n + :result:{'entity_type': '"GEO"', 'description': '"City Streets are referenced as the setting where people are celebrating and making music, contributing to the festive atmosphere of Christmas morning."', 'source_id': 'chunk-99b0ec7f7e006561352b5d65e849611d'} +2024-10-30 05:40:15,255 - lightrag - INFO - get_node:query:MATCH (n:`SNOW`) RETURN n:result: +2024-10-30 05:40:15,391 - lightrag - INFO - _do_upsert:query: + MERGE (n:`SNOW`) + SET n += $properties + RETURN n + :result:{'entity_type': '"GEO"', 'description': '"Snow is a significant element of the Christmas setting, emphasizing the winter atmosphere and contributing to the imagery of the holiday."', 'source_id': 'chunk-99b0ec7f7e006561352b5d65e849611d'} +2024-10-30 05:40:15,526 - lightrag - INFO - get_node:query:MATCH (n:`PARAPETS`) RETURN n:result: +2024-10-30 05:40:15,668 - lightrag - INFO - _do_upsert:query: + MERGE (n:`PARAPETS`) + SET n += $properties + RETURN n + :result:{'entity_type': '"GEO"', 'description': '"Parapets are structures that people use to engage in playful activities, such as throwing snowballs during Christmas celebrations."', 'source_id': 'chunk-99b0ec7f7e006561352b5d65e849611d'} +2024-10-30 05:40:15,802 - lightrag - INFO - get_node:query:MATCH (n:`SPIRIT OF CHRISTMAS PRESENT`) RETURN n:result: +2024-10-30 05:40:15,941 - lightrag - INFO - _do_upsert:query: + MERGE (n:`SPIRIT OF CHRISTMAS PRESENT`) + SET n += $properties + RETURN n + :result:{'entity_type': '"PERSON"', 'description': '"The Spirit of Christmas Present embodies the spirit of generosity and compassion, showing Scrooge scenes of joy and festivity among the poor."', 'source_id': 'chunk-b0f459f5af1c3a5e0b92cbe4ee48b77b'} +2024-10-30 05:40:16,082 - lightrag - INFO - get_node:query:MATCH (n:`PETER CRATCHIT`) RETURN n:result:"Peter Cratchit is a member of the Cratchit family who participates in expressing their unity and happiness.""Peter Cratchit is Bob\'s son, excited about his clothing and preparing a festive meal, symbolizing youthful innocence and hope.""Peter Cratchit is one of Bob Cratchit\'s children, involved in family dynamics and interactions surrounding Tiny Tim.""Peter Cratchit is one of the Cratchit children, shown to be active and enthusiastic during the Christmas celebration.""Peter Cratchit is the eldest son of Bob and Mrs. Cratchit, who is portrayed as contemplative about his future as he considers a potential job opportunity."', 'source_id': 'chunk-91572b3cd42786ba4cb2f180ca25cbf4chunk-b0f459f5af1c3a5e0b92cbe4ee48b77bchunk-7e2e7ebcc19a53b399dc03aded4743e7chunk-19d72c57ae3408758b18d2568e86dc6b'}> +2024-10-30 05:40:16,233 - lightrag - INFO - _do_upsert:query: + MERGE (n:`PETER CRATCHIT`) + SET n += $properties + RETURN n + :result:{'entity_type': '"PERSON"', 'description': '"Peter Cratchit is Bob\'s son, excited about dressing up and participating in the festive meal preparation.""Peter Cratchit is a member of the Cratchit family who participates in expressing their unity and happiness.""Peter Cratchit is Bob\'s son, excited about his clothing and preparing a festive meal, symbolizing youthful innocence and hope.""Peter Cratchit is one of Bob Cratchit\'s children, involved in family dynamics and interactions surrounding Tiny Tim.""Peter Cratchit is one of the Cratchit children, shown to be active and enthusiastic during the Christmas celebration.""Peter Cratchit is the eldest son of Bob and Mrs. Cratchit, who is portrayed as contemplative about his future as he considers a potential job opportunity.""Peter Cratchit is Bob\'s son, excited about his clothing and preparing a festive meal, symbolizing youthful innocence and hope.""Peter Cratchit is one of Bob Cratchit\'s children, involved in family dynamics and interactions surrounding Tiny Tim.""Peter Cratchit is one of the Cratchit children, shown to be active and enthusiastic during the Christmas celebration.""Peter Cratchit is the eldest son of Bob and Mrs. Cratchit, who is portrayed as contemplative about his future as he considers a potential job opportunity."', 'source_id': 'chunk-19d72c57ae3408758b18d2568e86dc6bchunk-7e2e7ebcc19a53b399dc03aded4743e7chunk-b0f459f5af1c3a5e0b92cbe4ee48b77bchunk-91572b3cd42786ba4cb2f180ca25cbf4'} +2024-10-30 05:40:16,374 - lightrag - INFO - get_node:query:MATCH (n:`THE CRATCHIT HOUSEHOLD`) RETURN n:result: +2024-10-30 05:40:16,511 - lightrag - INFO - _do_upsert:query: + MERGE (n:`THE CRATCHIT HOUSEHOLD`) + SET n += $properties + RETURN n + :result:{'entity_type': '"ORGANIZATION"', 'description': '"The Cratchit Household represents a loving family unit, managing to find joy despite their financial struggles."', 'source_id': 'chunk-b0f459f5af1c3a5e0b92cbe4ee48b77b'} +2024-10-30 05:40:16,643 - lightrag - INFO - get_node:query:MATCH (n:`CHRISTMAS DAY`) RETURN n:result:"Christmas Day is a significant holiday that marks the time of Scrooge\'s revelation and intent to change.""Christmas Day is celebrated by the Cratchit family with a communal meal and expressions of joy and togetherness, highlighting the importance of family and gratitude.""Christmas Day serves as the central event around which the family gathers and reflects on their feelings towards Scrooge.""Christmas Day is portrayed as a day of celebration and gathering, emphasizing themes of togetherness and generosity.""Christmas Day serves as a central event for the gathering of the Cratchit family, filled with mixed feelings about their employer, Scrooge.""Christmas Day serves as the backdrop for Scrooge\'s transformation, representing joy, celebration, and new beginnings."', 'source_id': 'chunk-90b95db5c53e4364a6bee36b7aa4d70fchunk-b0f459f5af1c3a5e0b92cbe4ee48b77bchunk-7e2e7ebcc19a53b399dc03aded4743e7chunk-19d72c57ae3408758b18d2568e86dc6b'}> +2024-10-30 05:40:16,780 - lightrag - INFO - _do_upsert:query: + MERGE (n:`CHRISTMAS DAY`) + SET n += $properties + RETURN n + :result:{'entity_type': '"EVENT"', 'description': '"Christmas Day is a holiday during which the characters express joy and the significance of communal dining.""Christmas Day is a significant holiday that marks the time of Scrooge\'s revelation and intent to change.""Christmas Day is celebrated by the Cratchit family with a communal meal and expressions of joy and togetherness, highlighting the importance of family and gratitude.""Christmas Day serves as the central event around which the family gathers and reflects on their feelings towards Scrooge.""Christmas Day is portrayed as a day of celebration and gathering, emphasizing themes of togetherness and generosity.""Christmas Day serves as a central event for the gathering of the Cratchit family, filled with mixed feelings about their employer, Scrooge.""Christmas Day serves as the backdrop for Scrooge\'s transformation, representing joy, celebration, and new beginnings.""Christmas Day is portrayed as a day of celebration and gathering, emphasizing themes of togetherness and generosity.""Christmas Day serves as a central event for the gathering of the Cratchit family, filled with mixed feelings about their employer, Scrooge.""Christmas Day serves as the backdrop for Scrooge\'s transformation, representing joy, celebration, and new beginnings."', 'source_id': 'chunk-19d72c57ae3408758b18d2568e86dc6bchunk-90b95db5c53e4364a6bee36b7aa4d70fchunk-7e2e7ebcc19a53b399dc03aded4743e7chunk-b0f459f5af1c3a5e0b92cbe4ee48b77b'} +2024-10-30 05:40:16,922 - lightrag - INFO - get_node:query:MATCH (n:`THE GROCER`) RETURN n:result: +2024-10-30 05:40:17,060 - lightrag - INFO - _do_upsert:query: + MERGE (n:`THE GROCER`) + SET n += $properties + RETURN n + :result:{'entity_type': '"PERSON"', 'description': '"The Grocer is depicted as a welcoming figure who interacts with customers in a friendly manner, symbolizing community spirit."', 'source_id': 'chunk-b0f459f5af1c3a5e0b92cbe4ee48b77b'} +2024-10-30 05:40:17,194 - lightrag - INFO - get_node:query:MATCH (n:`THE PEOPLE`) RETURN n:result:"The People refers to the inhabitants of the quarter, characterized by their desperate living conditions and societal challenges.""The People represent the townsfolk who come together in celebration during the Christmas season, highlighting communal joy and participation.""The People represent the various individuals Scrooge encounters during his joyful walk, symbolizing community and shared happiness."', 'source_id': 'chunk-b0f459f5af1c3a5e0b92cbe4ee48b77bchunk-8f738cb25d60a7dab782162d9d0a25edchunk-f1a4fbcf1ed86864b9bfd5e8dba4c683'}> +2024-10-30 05:40:17,330 - lightrag - INFO - _do_upsert:query: + MERGE (n:`THE PEOPLE`) + SET n += $properties + RETURN n + :result:{'entity_type': '"ORGANIZATION"', 'description': '"The People refer to the townsfolk whom Scrooge encounters, showcasing the communal spirit of Christmas.""The People refer to the townsfolk whom Scrooge encounters, showcasing the communal spirit of Christmas.""The People refers to the inhabitants of the quarter, characterized by their desperate living conditions and societal challenges.""The People represent the townsfolk who come together in celebration during the Christmas season, highlighting communal joy and participation.""The People represent the various individuals Scrooge encounters during his joyful walk, symbolizing community and shared happiness.""The People refers to the inhabitants of the quarter, characterized by their desperate living conditions and societal challenges.""The People represent the townsfolk who come together in celebration during the Christmas season, highlighting communal joy and participation."', 'source_id': 'chunk-8f738cb25d60a7dab782162d9d0a25edchunk-f1a4fbcf1ed86864b9bfd5e8dba4c683chunk-b0f459f5af1c3a5e0b92cbe4ee48b77b'} +2024-10-30 05:40:17,468 - lightrag - INFO - get_node:query:MATCH (n:`THE SPIRIT'S TORCH`) RETURN n:result:"The Spirit\'s Torch symbolizes the joy and magic of the Christmas spirit, illuminating the family\'s happiness despite their hardships."', 'source_id': 'chunk-b0f459f5af1c3a5e0b92cbe4ee48b77bchunk-19d72c57ae3408758b18d2568e86dc6b'}> +2024-10-30 05:40:17,609 - lightrag - INFO - _do_upsert:query: + MERGE (n:`THE SPIRIT'S TORCH`) + SET n += $properties + RETURN n + :result:{'entity_type': '"TECHNOLOGY"', 'description': '"The Spirit\'s Torch is a unique tool used by the Spirit of Christmas Present to sprinkle blessings and create goodwill among people.""The Spirit\'s Torch is a unique tool used by the Spirit of Christmas Present to sprinkle blessings and create goodwill among people.""The Spirit\'s Torch symbolizes the joy and magic of the Christmas spirit, illuminating the family\'s happiness despite their hardships.""The Spirit\'s Torch symbolizes the joy and magic of the Christmas spirit, illuminating the family\'s happiness despite their hardships."', 'source_id': 'chunk-19d72c57ae3408758b18d2568e86dc6bchunk-b0f459f5af1c3a5e0b92cbe4ee48b77b'} +2024-10-30 05:40:17,749 - lightrag - INFO - get_node:query:MATCH (n:`THE BAKER'S SHOP`) RETURN n:result: +2024-10-30 05:40:17,886 - lightrag - INFO - _do_upsert:query: + MERGE (n:`THE BAKER'S SHOP`) + SET n += $properties + RETURN n + :result:{'entity_type': '"ORGANIZATION"', 'description': '"The Baker\'s Shop is a significant location where townspeople gather to procure their meals, indicating a hub of community activity."', 'source_id': 'chunk-b0f459f5af1c3a5e0b92cbe4ee48b77b'} +2024-10-30 05:40:18,021 - lightrag - INFO - get_node:query:MATCH (n:`DINNERS`) RETURN n:result:"Dinners represent the communal and familial gatherings that occur during Christmas, emphasized in the text as significant for enjoyment and sharing."', 'source_id': 'chunk-b0f459f5af1c3a5e0b92cbe4ee48b77b'}> +2024-10-30 05:40:18,158 - lightrag - INFO - _do_upsert:query: + MERGE (n:`DINNERS`) + SET n += $properties + RETURN n + :result:{'entity_type': '"EVENT"', 'description': '"Dinners refer to the meals shared by families on Christmas Day, representing the joy and nourishment that bring people together.""Dinners refer to the meals shared by families on Christmas Day, representing the joy and nourishment that bring people together.""Dinners represent the communal and familial gatherings that occur during Christmas, emphasized in the text as significant for enjoyment and sharing."', 'source_id': 'chunk-b0f459f5af1c3a5e0b92cbe4ee48b77b'} +2024-10-30 05:40:18,291 - lightrag - INFO - get_node:query:MATCH (n:`THE STREETS`) RETURN n:result: +2024-10-30 05:40:18,433 - lightrag - INFO - _do_upsert:query: + MERGE (n:`THE STREETS`) + SET n += $properties + RETURN n + :result:{'entity_type': '"GEO"', 'description': '"The Streets are the setting for the gatherings and interactions of townspeople during Christmas, showcasing the festive atmosphere."', 'source_id': 'chunk-b0f459f5af1c3a5e0b92cbe4ee48b77b'} +2024-10-30 05:40:18,565 - lightrag - INFO - get_node:query:MATCH (n:`THE SUBURBS`) RETURN n:result: +2024-10-30 05:40:18,706 - lightrag - INFO - _do_upsert:query: + MERGE (n:`THE SUBURBS`) + SET n += $properties + RETURN n + :result:{'entity_type': '"GEO"', 'description': '"The Suburbs are depicted as the area where the Spirit takes Scrooge to observe the lives of the less fortunate, emphasizing social issues."', 'source_id': 'chunk-b0f459f5af1c3a5e0b92cbe4ee48b77b'} +2024-10-30 05:40:18,838 - lightrag - INFO - get_node:query:MATCH (n:`THE NIGHT`) RETURN n:result: +2024-10-30 05:40:18,979 - lightrag - INFO - _do_upsert:query: + MERGE (n:`THE NIGHT`) + SET n += $properties + RETURN n + :result:{'entity_type': '"EVENT"', 'description': '"The Night, particularly Christmas Eve, is framed as a time for reflection and celebration as families prepare for the festivities."', 'source_id': 'chunk-b0f459f5af1c3a5e0b92cbe4ee48b77b'} +2024-10-30 05:40:19,110 - lightrag - INFO - get_node:query:MATCH (n:`CRATCHIT FAMILY`) RETURN n:result:"The Cratchit Family is a close-knit family characterized by love and togetherness, celebrating Christmas with simple but joyful traditions.""The Cratchit Family is portrayed as a close-knit group who, despite their hardships, find joy and gratitude during the Christmas gathering.""The Cratchit Family is portrayed as a loving unit celebrating Christmas together, with various members actively participating in the festivities.""The Cratchit family represents a unit bound by love and resilience in the face of adversity, dealing with emotional and financial struggles.""The Cratchit Family is depicted as a warm and loving household celebrating Christmas together, with various members actively participating in the festivities."', 'source_id': 'chunk-7e2e7ebcc19a53b399dc03aded4743e7chunk-503f0bfa5453467c7c61d160a3540ecachunk-83ac129dc9b56f84c46760d153d68e93chunk-19d72c57ae3408758b18d2568e86dc6b'}> +2024-10-30 05:40:19,251 - lightrag - INFO - _do_upsert:query: + MERGE (n:`CRATCHIT FAMILY`) + SET n += $properties + RETURN n + :result:{'entity_type': '"ORGANIZATION"', 'description': '"The Cratchit Family consists of Bob, Mrs. Cratchit, and their children, embodying themes of family unity and contentment despite hardships.""The Cratchit Family consists of Bob, Mrs. Cratchit, and their children, embodying themes of family unity and contentment despite hardships.""The Cratchit Family is a close-knit family characterized by love and togetherness, celebrating Christmas with simple but joyful traditions.""The Cratchit Family is portrayed as a close-knit group who, despite their hardships, find joy and gratitude during the Christmas gathering.""The Cratchit Family is portrayed as a loving unit celebrating Christmas together, with various members actively participating in the festivities.""The Cratchit family represents a unit bound by love and resilience in the face of adversity, dealing with emotional and financial struggles.""The Cratchit Family is depicted as a warm and loving household celebrating Christmas together, with various members actively participating in the festivities.""The Cratchit Family is depicted as a warm and loving household celebrating Christmas together, with various members actively participating in the festivities."', 'source_id': 'chunk-503f0bfa5453467c7c61d160a3540ecachunk-19d72c57ae3408758b18d2568e86dc6bchunk-7e2e7ebcc19a53b399dc03aded4743e7chunk-83ac129dc9b56f84c46760d153d68e93'} +2024-10-30 05:40:19,388 - lightrag - INFO - get_node:query:MATCH (n:`MARTHA`) RETURN n:result:"Martha is the daughter in the Cratchit family, who makes a dramatic entrance to surprise her family, highlighting the family\'s closeness."', 'source_id': 'chunk-7e2e7ebcc19a53b399dc03aded4743e7chunk-19d72c57ae3408758b18d2568e86dc6b'}> +2024-10-30 05:40:19,526 - lightrag - INFO - _do_upsert:query: + MERGE (n:`MARTHA`) + SET n += $properties + RETURN n + :result:{'entity_type': '"PERSON"', 'description': '"Martha is a poor apprentice at a milliner\'s and shares her experience with the family during their Christmas gathering, contributing to the family atmosphere.""Martha is the daughter in the Cratchit family, who makes a dramatic entrance to surprise her family, highlighting the family\'s closeness.""Martha is the daughter in the Cratchit family, who makes a dramatic entrance to surprise her family, highlighting the family\'s closeness."', 'source_id': 'chunk-19d72c57ae3408758b18d2568e86dc6bchunk-7e2e7ebcc19a53b399dc03aded4743e7'} +2024-10-30 05:40:19,665 - lightrag - INFO - get_node:query:MATCH (n:`CRATCHIT CHRISTMAS DINNER`) RETURN n:result: +2024-10-30 05:40:19,813 - lightrag - INFO - _do_upsert:query: + MERGE (n:`CRATCHIT CHRISTMAS DINNER`) + SET n += $properties + RETURN n + :result:{'entity_type': '"EVENT"', 'description': '"Cratchit Christmas Dinner is a festive occasion filled with joy, love, and togetherness as the family celebrates the holiday."', 'source_id': 'chunk-7e2e7ebcc19a53b399dc03aded4743e7'} +2024-10-30 05:40:19,947 - lightrag - INFO - get_node:query:MATCH (n:`THE GOOSE`) RETURN n:result:"The Goose is a central element of the Cratchit Christmas dinner, representing abundance and the joy of the holiday as the family eagerly anticipates its serving.""The Goose is a central part of the Cratchit family Christmas dinner, which they celebrate with excitement and anticipation, symbolizing abundance and joy."', 'source_id': 'chunk-7e2e7ebcc19a53b399dc03aded4743e7chunk-503f0bfa5453467c7c61d160a3540eca'}> +2024-10-30 05:40:20,086 - lightrag - INFO - _do_upsert:query: + MERGE (n:`THE GOOSE`) + SET n += $properties + RETURN n + :result:{'entity_type': '"EVENT"', 'description': '"The Goose is a central dish enjoyed by the Cratchit family during their Christmas dinner, symbolizing abundance and celebration.""The Goose is a central dish enjoyed by the Cratchit family during their Christmas dinner, symbolizing abundance and celebration.""The Goose is a central element of the Cratchit Christmas dinner, representing abundance and the joy of the holiday as the family eagerly anticipates its serving.""The Goose is a central part of the Cratchit family Christmas dinner, which they celebrate with excitement and anticipation, symbolizing abundance and joy.""The Goose is a central element of the Cratchit Christmas dinner, representing abundance and the joy of the holiday as the family eagerly anticipates its serving."', 'source_id': 'chunk-503f0bfa5453467c7c61d160a3540ecachunk-7e2e7ebcc19a53b399dc03aded4743e7'} +2024-10-30 05:40:20,221 - lightrag - INFO - get_node:query:MATCH (n:`THE YOUNG CRATCHITS`) RETURN n:result: +2024-10-30 05:40:20,360 - lightrag - INFO - _do_upsert:query: + MERGE (n:`THE YOUNG CRATCHITS`) + SET n += $properties + RETURN n + :result:{'entity_type': '"ORGANIZATION"', 'description': '"The Young Cratchits are the children in the Cratchit family who contribute to the lively atmosphere, expressing excitement and involvement in the Christmas celebrations."', 'source_id': 'chunk-7e2e7ebcc19a53b399dc03aded4743e7'} +2024-10-30 05:40:20,495 - lightrag - INFO - get_node:query:MATCH (n:`THE PUDDING`) RETURN n:result:"The Pudding is a traditional dish prepared for Christmas, symbolizing festivity and the warmth of family gatherings.""The Pudding is a traditional dish served at the Cratchit Christmas dinner, symbolizing festive joy and family gatherings."', 'source_id': 'chunk-7e2e7ebcc19a53b399dc03aded4743e7chunk-503f0bfa5453467c7c61d160a3540ecachunk-90d5764e301321c087f5a8f78b73a145'}> +2024-10-30 05:40:20,636 - lightrag - INFO - _do_upsert:query: + MERGE (n:`THE PUDDING`) + SET n += $properties + RETURN n + :result:{'entity_type': '"EVENT"', 'description': '"The Pudding is a special dessert made by Mrs. Cratchit, described as hard and firm, and is a source of pride and excitement for the family.""The Pudding is a special dessert made by Mrs. Cratchit, described as hard and firm, and is a source of pride and excitement for the family.""The Pudding is a traditional dish prepared for Christmas, symbolizing festivity and the warmth of family gatherings.""The Pudding is a traditional dish served at the Cratchit Christmas dinner, symbolizing festive joy and family gatherings.""The Pudding is a traditional dish served at the Cratchit Christmas dinner, symbolizing festive joy and family gatherings."', 'source_id': 'chunk-503f0bfa5453467c7c61d160a3540ecachunk-7e2e7ebcc19a53b399dc03aded4743e7chunk-90d5764e301321c087f5a8f78b73a145'} +2024-10-30 05:40:20,771 - lightrag - INFO - get_node:query:MATCH (n:`THE FIRE`) RETURN n:result:"The Fire represents warmth and comfort in the Cratchit household, inviting family members to gather around during their Christmas celebration."', 'source_id': 'chunk-7e2e7ebcc19a53b399dc03aded4743e7chunk-773d0df1dd25c356f7b771d780583e09'}> +2024-10-30 05:40:20,910 - lightrag - INFO - _do_upsert:query: + MERGE (n:`THE FIRE`) + SET n += $properties + RETURN n + :result:{'entity_type': '"EVENT"', 'description': '"The Fire represents warmth and comfort during the family gathering, enhancing the atmosphere of camaraderie.""The Fire represents warmth and comfort in the Cratchit household, inviting family members to gather around during their Christmas celebration.""The Fire represents warmth and comfort in the Cratchit household, inviting family members to gather around during their Christmas celebration."', 'source_id': 'chunk-7e2e7ebcc19a53b399dc03aded4743e7chunk-773d0df1dd25c356f7b771d780583e09'} +2024-10-30 05:40:21,046 - lightrag - INFO - get_node:query:MATCH (n:`THE DINNER`) RETURN n:result:"The Dinner is a social event characterized by laughter, music, and discussions about Scrooge, portraying a festive Christmas gathering."', 'source_id': 'chunk-773d0df1dd25c356f7b771d780583e09chunk-503f0bfa5453467c7c61d160a3540eca'}> +2024-10-30 05:40:21,184 - lightrag - INFO - _do_upsert:query: + MERGE (n:`THE DINNER`) + SET n += $properties + RETURN n + :result:{'entity_type': '"EVENT"', 'description': '"The Dinner is a festive event where the Cratchit family gathers to enjoy a meal, including a special goose and pudding, symbolizing their togetherness.""The Dinner is a festive event where the Cratchit family gathers to enjoy a meal, including a special goose and pudding, symbolizing their togetherness.""The Dinner is a social event characterized by laughter, music, and discussions about Scrooge, portraying a festive Christmas gathering."', 'source_id': 'chunk-503f0bfa5453467c7c61d160a3540ecachunk-773d0df1dd25c356f7b771d780583e09'} +2024-10-30 05:40:21,320 - lightrag - INFO - get_node:query:MATCH (n:`MISS BELINDA`) RETURN n:result: +2024-10-30 05:40:21,458 - lightrag - INFO - _do_upsert:query: + MERGE (n:`MISS BELINDA`) + SET n += $properties + RETURN n + :result:{'entity_type': '"PERSON"', 'description': '"Miss Belinda is a member of the Cratchit family who assists in the dinner preparations, specifically changing the plates."', 'source_id': 'chunk-503f0bfa5453467c7c61d160a3540eca'} +2024-10-30 05:40:21,591 - lightrag - INFO - get_node:query:MATCH (n:`THE FOUNDER OF THE FEAST`) RETURN n:result: +2024-10-30 05:40:21,732 - lightrag - INFO - _do_upsert:query: + MERGE (n:`THE FOUNDER OF THE FEAST`) + SET n += $properties + RETURN n + :result:{'entity_type': '"TITLE"', 'description': '"The Founder of the Feast refers to Scrooge, whom Bob Cratchit acknowledges during the Christmas dinner, signifying gratitude toward Scrooge\'s provision for the meal."', 'source_id': 'chunk-503f0bfa5453467c7c61d160a3540eca'} +2024-10-30 05:40:21,868 - lightrag - INFO - get_node:query:MATCH (n:`THE COUNTESS`) RETURN n:result:"The Countess is referenced by Martha, showcasing her interaction with figures of higher social status, contrasting with the Cratchit family\'s situation."', 'source_id': 'chunk-19d72c57ae3408758b18d2568e86dc6b'}> +2024-10-30 05:40:22,006 - lightrag - INFO - _do_upsert:query: + MERGE (n:`THE COUNTESS`) + SET n += $properties + RETURN n + :result:{'entity_type': '"PERSON"', 'description': '"The Countess is mentioned by Martha, indicating an encounter that highlights the social stratification and aspirations of the Cratchit family.""The Countess is mentioned by Martha, indicating an encounter that highlights the social stratification and aspirations of the Cratchit family.""The Countess is referenced by Martha, showcasing her interaction with figures of higher social status, contrasting with the Cratchit family\'s situation."', 'source_id': 'chunk-19d72c57ae3408758b18d2568e86dc6b'} +2024-10-30 05:40:22,140 - lightrag - INFO - get_node:query:MATCH (n:`THE LORD`) RETURN n:result:"The Lord is referenced in Martha\'s account of her work, underscoring the contrast between the Cratchit family\'s modest means and the nobility."', 'source_id': 'chunk-19d72c57ae3408758b18d2568e86dc6b'}> +2024-10-30 05:40:22,275 - lightrag - INFO - _do_upsert:query: + MERGE (n:`THE LORD`) + SET n += $properties + RETURN n + :result:{'entity_type': '"PERSON"', 'description': '"The Lord is mentioned by Martha as someone she encountered, illustrating her experiences outside her family\'s struggles.""The Lord is referenced in Martha\'s account of her work, underscoring the contrast between the Cratchit family\'s modest means and the nobility.""The Lord is referenced in Martha\'s account of her work, underscoring the contrast between the Cratchit family\'s modest means and the nobility."', 'source_id': 'chunk-19d72c57ae3408758b18d2568e86dc6b'} +2024-10-30 05:40:22,411 - lightrag - INFO - get_node:query:MATCH (n:`THE GATHERING`) RETURN n:result: +2024-10-30 05:40:22,552 - lightrag - INFO - _do_upsert:query: + MERGE (n:`THE GATHERING`) + SET n += $properties + RETURN n + :result:{'entity_type': '"EVENT"', 'description': '"The Gathering refers to the collective event of the family coming together to celebrate Christmas, filled with warmth and camaraderie despite their struggles."', 'source_id': 'chunk-19d72c57ae3408758b18d2568e86dc6b'} +2024-10-30 05:40:22,684 - lightrag - INFO - get_node:query:MATCH (n:`THE LIGHTHOUSE`) RETURN n:result:"The Lighthouse serves as a solitary structure representing hope and guidance amid a stormy sea, populated by individuals celebrating Christmas."', 'source_id': 'chunk-91614df5cb74cbe5e109a338a82041e9'}> +2024-10-30 05:40:22,825 - lightrag - INFO - _do_upsert:query: + MERGE (n:`THE LIGHTHOUSE`) + SET n += $properties + RETURN n + :result:{'entity_type': '"GEO"', 'description': '"The Lighthouse is a solitary structure standing on a reef, symbolizing hope and guidance amidst the tumultuous sea.""The Lighthouse serves as a solitary structure representing hope and guidance amid a stormy sea, populated by individuals celebrating Christmas.""The Lighthouse serves as a solitary structure representing hope and guidance amid a stormy sea, populated by individuals celebrating Christmas."', 'source_id': 'chunk-91614df5cb74cbe5e109a338a82041e9'} +2024-10-30 05:40:22,964 - lightrag - INFO - get_node:query:MATCH (n:`THE SHIP`) RETURN n:result:"The Ship is described as a vessel on the open sea, where the crew reflects on Christmas, showcasing camaraderie and a sense of belonging."', 'source_id': 'chunk-91614df5cb74cbe5e109a338a82041e9'}> +2024-10-30 05:40:23,108 - lightrag - INFO - _do_upsert:query: + MERGE (n:`THE SHIP`) + SET n += $properties + RETURN n + :result:{'entity_type': '"GEO"', 'description': '"The Ship is a vessel where the crew shares moments of kindness and reflection during Christmas, symbolizing unity and camaraderie.""The Ship is a vessel where the crew shares moments of kindness and reflection during Christmas, symbolizing unity and camaraderie.""The Ship is described as a vessel on the open sea, where the crew reflects on Christmas, showcasing camaraderie and a sense of belonging."', 'source_id': 'chunk-91614df5cb74cbe5e109a338a82041e9'} +2024-10-30 05:40:23,244 - lightrag - INFO - get_node:query:MATCH (n:`THE LAMPLIGHTER`) RETURN n:result:"The Lamplighter is a character who fills the street with light, representing the warmth and joy of the holiday season."', 'source_id': 'chunk-91614df5cb74cbe5e109a338a82041e9'}> +2024-10-30 05:40:23,383 - lightrag - INFO - _do_upsert:query: + MERGE (n:`THE LAMPLIGHTER`) + SET n += $properties + RETURN n + :result:{'entity_type': '"PERSON"', 'description': '"The Lamplighter is a character who brings light to the street, symbolizing hope and joy as he dotting the dusky street with specks of light.""The Lamplighter is a character who brings light to the street, symbolizing hope and joy as he dotting the dusky street with specks of light.""The Lamplighter is a character who fills the street with light, representing the warmth and joy of the holiday season."', 'source_id': 'chunk-91614df5cb74cbe5e109a338a82041e9'} +2024-10-30 05:40:23,520 - lightrag - INFO - get_node:query:MATCH (n:`THE MOOR`) RETURN n:result: +2024-10-30 05:40:23,664 - lightrag - INFO - _do_upsert:query: + MERGE (n:`THE MOOR`) + SET n += $properties + RETURN n + :result:{'entity_type': '"GEO"', 'description': '"The Moor is depicted as a bleak and desolate landscape, symbolizing the harsh conditions where miners live."', 'source_id': 'chunk-91614df5cb74cbe5e109a338a82041e9'} +2024-10-30 05:40:23,798 - lightrag - INFO - get_node:query:MATCH (n:`THE OLD MAN`) RETURN n:result:"The Old Man is portrayed as a figure of light and joy among his family, singing a Christmas song that connects generations."', 'source_id': 'chunk-91614df5cb74cbe5e109a338a82041e9'}> +2024-10-30 05:40:23,942 - lightrag - INFO - _do_upsert:query: + MERGE (n:`THE OLD MAN`) + SET n += $properties + RETURN n + :result:{'entity_type': '"PERSON"', 'description': '"The Old Man is a character who sings a Christmas song, providing a sense of tradition and warmth amidst the desolate environment.""The Old Man is a character who sings a Christmas song, providing a sense of tradition and warmth amidst the desolate environment.""The Old Man is portrayed as a figure of light and joy among his family, singing a Christmas song that connects generations."', 'source_id': 'chunk-91614df5cb74cbe5e109a338a82041e9'} +2024-10-30 05:40:24,078 - lightrag - INFO - get_node:query:MATCH (n:`THE HUT`) RETURN n:result:"The Hut is a shelter for the miners that provides warmth and a gathering space for family during the winter, serving as a symbol of refuge."', 'source_id': 'chunk-91614df5cb74cbe5e109a338a82041e9'}> +2024-10-30 05:40:24,217 - lightrag - INFO - _do_upsert:query: + MERGE (n:`THE HUT`) + SET n += $properties + RETURN n + :result:{'entity_type': '"GEO"', 'description': '"The Hut is a place where miners and their families gather to celebrate Christmas, representing warmth and community.""The Hut is a place where miners and their families gather to celebrate Christmas, representing warmth and community.""The Hut is a shelter for the miners that provides warmth and a gathering space for family during the winter, serving as a symbol of refuge."', 'source_id': 'chunk-91614df5cb74cbe5e109a338a82041e9'} +2024-10-30 05:40:24,353 - lightrag - INFO - get_node:query:MATCH (n:`THE MINERS`) RETURN n:result:"The Miners refer to a group of laborers living in a bleak landscape, embodying the struggles and resilience of working-class life."', 'source_id': 'chunk-91614df5cb74cbe5e109a338a82041e9'}> +2024-10-30 05:40:24,491 - lightrag - INFO - _do_upsert:query: + MERGE (n:`THE MINERS`) + SET n += $properties + RETURN n + :result:{'entity_type': '"ORGANIZATION"', 'description': '"The Miners are individuals who labor in the moor, showcasing their resilience and connection to Christmas despite their harsh living conditions.""The Miners are individuals who labor in the moor, showcasing their resilience and connection to Christmas despite their harsh living conditions.""The Miners refer to a group of laborers living in a bleak landscape, embodying the struggles and resilience of working-class life."', 'source_id': 'chunk-91614df5cb74cbe5e109a338a82041e9'} +2024-10-30 05:40:24,624 - lightrag - INFO - get_node:query:MATCH (n:`THE OFFICERS`) RETURN n:result: +2024-10-30 05:40:24,768 - lightrag - INFO - _do_upsert:query: + MERGE (n:`THE OFFICERS`) + SET n += $properties + RETURN n + :result:{'entity_type': '"ORGANIZATION"', 'description': '"The Officers are dark, ghostly figures aboard the ship, participating in the shared camaraderie of the Christmas spirit."', 'source_id': 'chunk-91614df5cb74cbe5e109a338a82041e9'} +2024-10-30 05:40:24,903 - lightrag - INFO - get_node:query:MATCH (n:`THE WAVE`) RETURN n:result: +2024-10-30 05:40:25,046 - lightrag - INFO - _do_upsert:query: + MERGE (n:`THE WAVE`) + SET n += $properties + RETURN n + :result:{'entity_type': '"GEO"', 'description': '"The Wave is described as thundering and raging, representing the overwhelming natural forces present in the sea setting."', 'source_id': 'chunk-91614df5cb74cbe5e109a338a82041e9'} +2024-10-30 05:40:25,182 - lightrag - INFO - get_node:query:MATCH (n:`STORM-BIRDS`) RETURN n:result:"Storm-Birds are depicted as creatures that rise and fall with the waves, symbolizing the harshness of the environment and the connection to the sea."', 'source_id': 'chunk-91614df5cb74cbe5e109a338a82041e9'}> +2024-10-30 05:40:25,337 - lightrag - INFO - _do_upsert:query: + MERGE (n:`STORM-BIRDS`) + SET n += $properties + RETURN n + :result:{'entity_type': '"GEO"', 'description': '"Storm-Birds are creatures associated with the wild sea, symbolizing the untamed nature of the environment around the lighthouse.""Storm-Birds are creatures associated with the wild sea, symbolizing the untamed nature of the environment around the lighthouse.""Storm-Birds are depicted as creatures that rise and fall with the waves, symbolizing the harshness of the environment and the connection to the sea."', 'source_id': 'chunk-91614df5cb74cbe5e109a338a82041e9'} +2024-10-30 05:40:25,471 - lightrag - INFO - get_node:query:MATCH (n:`SCROOGE'S NIECE`) RETURN n:result:"Scrooge\'s Niece is depicted as a beautiful and lively character who expresses strong opinions about her uncle Scrooge.""Scrooge\'s niece is depicted as a joyful participant in the evening\'s festivities, engaging in games and music.""Scrooge\'s niece is a central figure in the family gathering, enjoying the festivities and games, showing a loving and vibrant personality."', 'source_id': 'chunk-773d0df1dd25c356f7b771d780583e09chunk-43c9bee23adfa77aa9dedd22401bba7d'}> +2024-10-30 05:40:25,608 - lightrag - INFO - _do_upsert:query: + MERGE (n:`SCROOGE'S NIECE`) + SET n += $properties + RETURN n + :result:{'entity_type': '"PERSON"', 'description': '"Scrooge\'s Niece is a lively character who expresses indignation towards Scrooge\'s disdain for Christmas and embodies warmth and charm, showing affection and concern for family.""Scrooge\'s Niece is a lively character who expresses indignation towards Scrooge\'s disdain for Christmas and embodies warmth and charm, showing affection and concern for family.""Scrooge\'s Niece is depicted as a beautiful and lively character who expresses strong opinions about her uncle Scrooge.""Scrooge\'s niece is depicted as a joyful participant in the evening\'s festivities, engaging in games and music.""Scrooge\'s niece is a central figure in the family gathering, enjoying the festivities and games, showing a loving and vibrant personality.""Scrooge\'s niece is a central figure in the family gathering, enjoying the festivities and games, showing a loving and vibrant personality."', 'source_id': 'chunk-43c9bee23adfa77aa9dedd22401bba7dchunk-773d0df1dd25c356f7b771d780583e09'} +2024-10-30 05:40:25,747 - lightrag - INFO - get_node:query:MATCH (n:`TOPPER`) RETURN n:result:"Topper is a character who participates in the dinner and seems to have an interest in one of Scrooge\'s niece\'s sisters.""Topper is a guest at the Christmas party, representing the jovial and festive spirit of the gathering with Fred and Scrooge.""Topper is a jovial character who participates in games and is known for his playful and somewhat roguish behavior during the festivities.""Topper is a member of Scrooge\'s Niece\'s social group, characterized by his playful manner and romantic interests, notably towards one of Scrooge\'s Niece\'s sisters.""Topper is one of Fred\'s friends who attends the Christmas gathering, contributing to the joyful atmosphere of the celebration."', 'source_id': 'chunk-773d0df1dd25c356f7b771d780583e09chunk-94bea83e7153fc2064aa382b494936a1chunk-43c9bee23adfa77aa9dedd22401bba7d'}> +2024-10-30 05:40:25,889 - lightrag - INFO - _do_upsert:query: + MERGE (n:`TOPPER`) + SET n += $properties + RETURN n + :result:{'entity_type': '"PERSON"', 'description': '"Topper is a character known for his lively and mischievous behavior during the games at the festive gathering.""Topper is a character who participates in the dinner and seems to have an interest in one of Scrooge\'s niece\'s sisters.""Topper is a guest at the Christmas party, representing the jovial and festive spirit of the gathering with Fred and Scrooge.""Topper is a jovial character who participates in games and is known for his playful and somewhat roguish behavior during the festivities.""Topper is a member of Scrooge\'s Niece\'s social group, characterized by his playful manner and romantic interests, notably towards one of Scrooge\'s Niece\'s sisters.""Topper is one of Fred\'s friends who attends the Christmas gathering, contributing to the joyful atmosphere of the celebration.""Topper is a jovial character who participates in games and is known for his playful and somewhat roguish behavior during the festivities.""Topper is a member of Scrooge\'s Niece\'s social group, characterized by his playful manner and romantic interests, notably towards one of Scrooge\'s Niece\'s sisters.""Topper is one of Fred\'s friends who attends the Christmas gathering, contributing to the joyful atmosphere of the celebration."', 'source_id': 'chunk-43c9bee23adfa77aa9dedd22401bba7dchunk-94bea83e7153fc2064aa382b494936a1chunk-773d0df1dd25c356f7b771d780583e09'} +2024-10-30 05:40:26,030 - lightrag - INFO - get_node:query:MATCH (n:`SCROOGE'S NIECE'S SISTERS`) RETURN n:result:"Scrooge\'s Niece\'s Sisters are part of the family gathering, contributing to the lively atmosphere and expressing opinions about Scrooge."', 'source_id': 'chunk-773d0df1dd25c356f7b771d780583e09'}> +2024-10-30 05:40:26,171 - lightrag - INFO - _do_upsert:query: + MERGE (n:`SCROOGE'S NIECE'S SISTERS`) + SET n += $properties + RETURN n + :result:{'entity_type': '"PERSON"', 'description': '"Scrooge\'s Niece\'s Sisters are a part of the family gathering, expressing their opinions and adding to the lively atmosphere with their laughter and good humor.""Scrooge\'s Niece\'s Sisters are a part of the family gathering, expressing their opinions and adding to the lively atmosphere with their laughter and good humor.""Scrooge\'s Niece\'s Sisters are part of the family gathering, contributing to the lively atmosphere and expressing opinions about Scrooge."', 'source_id': 'chunk-773d0df1dd25c356f7b771d780583e09'} +2024-10-30 05:40:26,308 - lightrag - INFO - get_node:query:MATCH (n:`THE PLUMP SISTER`) RETURN n:result:"The Plump Sister is depicted in a light-hearted and humorous context, illustrating the fun of Christmas gatherings.""The plump sister is a character involved in the games, specifically blind man\'s-buff, and captures Topper\'s attention during the festivities.""The Plump Sister is one of Scrooge\'s Niece\'s sisters, characterized by her bashfulness and her attempts to maintain decorum amidst the laughter."', 'source_id': 'chunk-773d0df1dd25c356f7b771d780583e09chunk-89777b838d5447c7bd1ec11282c4ee89chunk-43c9bee23adfa77aa9dedd22401bba7d'}> +2024-10-30 05:40:26,445 - lightrag - INFO - _do_upsert:query: + MERGE (n:`THE PLUMP SISTER`) + SET n += $properties + RETURN n + :result:{'entity_type': '"PERSON"', 'description': '"The Plump Sister is a character in the gathering who becomes the focus of Topper\'s playful advances during the games, contributing to the comedic aspects of the gathering.""The Plump Sister is a character in the gathering who becomes the focus of Topper\'s playful advances during the games, contributing to the comedic aspects of the gathering.""The Plump Sister is depicted in a light-hearted and humorous context, illustrating the fun of Christmas gatherings.""The plump sister is a character involved in the games, specifically blind man\'s-buff, and captures Topper\'s attention during the festivities.""The Plump Sister is one of Scrooge\'s Niece\'s sisters, characterized by her bashfulness and her attempts to maintain decorum amidst the laughter.""The Plump Sister is one of Scrooge\'s Niece\'s sisters, characterized by her bashfulness and her attempts to maintain decorum amidst the laughter."', 'source_id': 'chunk-43c9bee23adfa77aa9dedd22401bba7dchunk-89777b838d5447c7bd1ec11282c4ee89chunk-773d0df1dd25c356f7b771d780583e09'} +2024-10-30 05:40:26,580 - lightrag - INFO - get_node:query:MATCH (n:`DINNER`) RETURN n:result: +2024-10-30 05:40:26,717 - lightrag - INFO - _do_upsert:query: + MERGE (n:`DINNER`) + SET n += $properties + RETURN n + :result:{'entity_type': '"EVENT"', 'description': '"Dinner is the festive meal that is shared among the characters, symbolizing the warmth of family and celebration that contrasts with Scrooge\'s isolated demeanor."', 'source_id': 'chunk-773d0df1dd25c356f7b771d780583e09'} +2024-10-30 05:40:26,850 - lightrag - INFO - get_node:query:MATCH (n:`MERRIMENT`) RETURN n:result:"Merriment refers to the joyful and festive atmosphere that the characters aim to create, opposing Scrooge\'s jaded perspective on social gatherings."', 'source_id': 'chunk-773d0df1dd25c356f7b771d780583e09chunk-e7637ff18c5ded77a68cce0a87883fad'}> +2024-10-30 05:40:26,994 - lightrag - INFO - _do_upsert:query: + MERGE (n:`MERRIMENT`) + SET n += $properties + RETURN n + :result:{'entity_type': '"CONCEPT"', 'description': '"Merriment embodies the joy and celebration associated with the holiday season and the gathering of family and friends in the narrative.""Merriment embodies the joy and celebration associated with the holiday season and the gathering of family and friends in the narrative.""Merriment refers to the joyful and festive atmosphere that the characters aim to create, opposing Scrooge\'s jaded perspective on social gatherings.""Merriment refers to the joyful and festive atmosphere that the characters aim to create, opposing Scrooge\'s jaded perspective on social gatherings."', 'source_id': 'chunk-773d0df1dd25c356f7b771d780583e09chunk-e7637ff18c5ded77a68cce0a87883fad'} +2024-10-30 05:40:27,136 - lightrag - INFO - get_node:query:MATCH (n:`BLIND MAN'S BUFF`) RETURN n:result: +2024-10-30 05:40:27,294 - lightrag - INFO - _do_upsert:query: + MERGE (n:`BLIND MAN'S BUFF`) + SET n += $properties + RETURN n + :result:{'entity_type': '"EVENT"', 'description': '"Blind Man\'s Buff is a traditional game played during the gathering, contributing to the festive atmosphere and interactions among the guests."', 'source_id': 'chunk-43c9bee23adfa77aa9dedd22401bba7d'} +2024-10-30 05:40:27,425 - lightrag - INFO - get_node:query:MATCH (n:`FORFEITS`) RETURN n:result:"Forfeits is another social game played by the characters, emphasizing the playful nature of their Christmas celebration."', 'source_id': 'chunk-43c9bee23adfa77aa9dedd22401bba7d'}> +2024-10-30 05:40:27,564 - lightrag - INFO - _do_upsert:query: + MERGE (n:`FORFEITS`) + SET n += $properties + RETURN n + :result:{'entity_type': '"EVENT"', 'description': '"Forfeits is another game played that allows participants to engage in fun activities, emphasizing the spirit of the gathering.""Forfeits is another social game played by the characters, emphasizing the playful nature of their Christmas celebration.""Forfeits is another social game played by the characters, emphasizing the playful nature of their Christmas celebration."', 'source_id': 'chunk-43c9bee23adfa77aa9dedd22401bba7d'} +2024-10-30 05:40:27,696 - lightrag - INFO - get_node:query:MATCH (n:`THE HARP`) RETURN n:result: +2024-10-30 05:40:27,835 - lightrag - INFO - _do_upsert:query: + MERGE (n:`THE HARP`) + SET n += $properties + RETURN n + :result:{'entity_type': '"TECHNOLOGY"', 'description': '"The Harp is a musical instrument played by Scrooge\'s niece, contributing to the evening\'s entertainment and illustrating the family\'s musical talents."', 'source_id': 'chunk-43c9bee23adfa77aa9dedd22401bba7d'} +2024-10-30 05:40:27,970 - lightrag - INFO - get_node:query:MATCH (n:`CHRISTMAS HOLIDAYS`) RETURN n:result:"The Christmas Holidays serve as a crucial backdrop for the narrative, representing themes of generosity, family, and redemption."', 'source_id': 'chunk-e7637ff18c5ded77a68cce0a87883fad'}> +2024-10-30 05:40:28,107 - lightrag - INFO - _do_upsert:query: + MERGE (n:`CHRISTMAS HOLIDAYS`) + SET n += $properties + RETURN n + :result:{'entity_type': '"EVENT"', 'description': '"Christmas Holidays signify a time for celebration, reflection, and reconciliation, playing a critical role in Scrooge\'s transformation.""Christmas Holidays signify a time for celebration, reflection, and reconciliation, playing a critical role in Scrooge\'s transformation.""The Christmas Holidays serve as a crucial backdrop for the narrative, representing themes of generosity, family, and redemption."', 'source_id': 'chunk-e7637ff18c5ded77a68cce0a87883fad'} +2024-10-30 05:40:28,242 - lightrag - INFO - get_node:query:MATCH (n:`IGNORANCE`) RETURN n:result:"Ignorance is personified as a boy that symbolizes the dangers of ignoring social issues and the consequences of a lack of awareness.""Ignorance personifies a societal failing, depicted as a child, warning of the dangers of neglect and moral responsibility.""Ignorance refers to one of the two children presented by the Spirit, symbolizing societal neglect and the consequences of lack of awareness."', 'source_id': 'chunk-e7637ff18c5ded77a68cce0a87883fadchunk-02baee20cc9463dbe08170a8e1043e32'}> +2024-10-30 05:40:28,380 - lightrag - INFO - _do_upsert:query: + MERGE (n:`IGNORANCE`) + SET n += $properties + RETURN n + :result:{'entity_type': '"CONCEPT"', 'description': '"Ignorance is personified as a boy shown to Scrooge by the Spirit, representing a societal issue that appeals for attention and change.""Ignorance is personified as a boy that symbolizes the dangers of ignoring social issues and the consequences of a lack of awareness.""Ignorance personifies a societal failing, depicted as a child, warning of the dangers of neglect and moral responsibility.""Ignorance refers to one of the two children presented by the Spirit, symbolizing societal neglect and the consequences of lack of awareness.""Ignorance personifies a societal failing, depicted as a child, warning of the dangers of neglect and moral responsibility.""Ignorance refers to one of the two children presented by the Spirit, symbolizing societal neglect and the consequences of lack of awareness."', 'source_id': 'chunk-02baee20cc9463dbe08170a8e1043e32chunk-e7637ff18c5ded77a68cce0a87883fad'} +2024-10-30 05:40:28,516 - lightrag - INFO - get_node:query:MATCH (n:`WANT`) RETURN n:result:"Want is represented as the second child shown by the Spirit, symbolizing the dire social conditions and needs of the impoverished.""Want represents another societal failing, portrayed as a girl, symbolizing deprivation and yearning for basic needs."', 'source_id': 'chunk-e7637ff18c5ded77a68cce0a87883fadchunk-02baee20cc9463dbe08170a8e1043e32'}> +2024-10-30 05:40:28,653 - lightrag - INFO - _do_upsert:query: + MERGE (n:`WANT`) + SET n += $properties + RETURN n + :result:{'entity_type': '"CONCEPT"', 'description': '"Want is depicted as a girl, representing the consequences of poverty and desire in society, warning against neglecting these issues.""Want is represented as the second child shown by the Spirit, symbolizing the dire social conditions and needs of the impoverished.""Want represents another societal failing, portrayed as a girl, symbolizing deprivation and yearning for basic needs.""Want is represented as the second child shown by the Spirit, symbolizing the dire social conditions and needs of the impoverished.""Want represents another societal failing, portrayed as a girl, symbolizing deprivation and yearning for basic needs."', 'source_id': 'chunk-02baee20cc9463dbe08170a8e1043e32chunk-e7637ff18c5ded77a68cce0a87883fad'} +2024-10-30 05:40:28,789 - lightrag - INFO - get_node:query:MATCH (n:`ALMS HOUSE`) RETURN n:result: +2024-10-30 05:40:28,926 - lightrag - INFO - _do_upsert:query: + MERGE (n:`ALMS HOUSE`) + SET n += $properties + RETURN n + :result:{'entity_type': '"ORGANIZATION"', 'description': '"Alms House refers to a charitable institution visited by the Spirit, where the poor receive support and care."', 'source_id': 'chunk-e7637ff18c5ded77a68cce0a87883fad'} +2024-10-30 05:40:29,057 - lightrag - INFO - get_node:query:MATCH (n:`HOSPITAL`) RETURN n:result:"The Hospital represents a location of care and compassion, highlighting the human condition and the need for kindness."', 'source_id': 'chunk-e7637ff18c5ded77a68cce0a87883fad'}> +2024-10-30 05:40:29,195 - lightrag - INFO - _do_upsert:query: + MERGE (n:`HOSPITAL`) + SET n += $properties + RETURN n + :result:{'entity_type': '"ORGANIZATION"', 'description': '"Hospital signifies a place of healing and care, visited by the Spirit in the story.""Hospital signifies a place of healing and care, visited by the Spirit in the story.""The Hospital represents a location of care and compassion, highlighting the human condition and the need for kindness."', 'source_id': 'chunk-e7637ff18c5ded77a68cce0a87883fad'} +2024-10-30 05:40:29,329 - lightrag - INFO - get_node:query:MATCH (n:`GAOL`) RETURN n:result:"The Gaol symbolizes imprisonment and despair, representing the societal failings and the need for mercy and understanding."', 'source_id': 'chunk-e7637ff18c5ded77a68cce0a87883fad'}> +2024-10-30 05:40:29,471 - lightrag - INFO - _do_upsert:query: + MERGE (n:`GAOL`) + SET n += $properties + RETURN n + :result:{'entity_type': '"ORGANIZATION"', 'description': '"Gaol refers to a prison, illustrating the theme of social justice and the conditions of the impoverished in society.""Gaol refers to a prison, illustrating the theme of social justice and the conditions of the impoverished in society.""The Gaol symbolizes imprisonment and despair, representing the societal failings and the need for mercy and understanding."', 'source_id': 'chunk-e7637ff18c5ded77a68cce0a87883fad'} +2024-10-30 05:40:29,606 - lightrag - INFO - get_node:query:MATCH (n:`TWELFTH NIGHT`) RETURN n:result: +2024-10-30 05:40:29,745 - lightrag - INFO - _do_upsert:query: + MERGE (n:`TWELFTH NIGHT`) + SET n += $properties + RETURN n + :result:{'entity_type': '"EVENT"', 'description': '"Twelfth Night is a festive occasion celebrated in the story, showcasing family gatherings and merriment during the holiday season."', 'source_id': 'chunk-e7637ff18c5ded77a68cce0a87883fad'} +2024-10-30 05:40:29,878 - lightrag - INFO - get_node:query:MATCH (n:`MULLED WINE`) RETURN n:result:"Mulled Wine symbolizes warmth and cheer, often associated with celebrations during the holiday season, particularly in the context of family gatherings."', 'source_id': 'chunk-e7637ff18c5ded77a68cce0a87883fad'}> +2024-10-30 05:40:30,014 - lightrag - INFO - _do_upsert:query: + MERGE (n:`MULLED WINE`) + SET n += $properties + RETURN n + :result:{'entity_type': '"EVENT"', 'description': '"Mulled Wine is a festive drink mentioned in the context of celebration during the Christmas gathering.""Mulled Wine is a festive drink mentioned in the context of celebration during the Christmas gathering.""Mulled Wine symbolizes warmth and cheer, often associated with celebrations during the holiday season, particularly in the context of family gatherings."', 'source_id': 'chunk-e7637ff18c5ded77a68cce0a87883fad'} +2024-10-30 05:40:30,150 - lightrag - INFO - get_node:query:MATCH (n:`PHANTOM`) RETURN n:result: +2024-10-30 05:40:30,288 - lightrag - INFO - _do_upsert:query: + MERGE (n:`PHANTOM`) + SET n += $properties + RETURN n + :result:{'entity_type': '"ORGANIZATION"', 'description': '"The Phantom is a representation of death and the unknown future, appearing to Scrooge with a mysterious and intimidating presence."', 'source_id': 'chunk-02baee20cc9463dbe08170a8e1043e32'} +2024-10-30 05:40:30,419 - lightrag - INFO - get_node:query:MATCH (n:`BUSINESS MEN`) RETURN n:result: +2024-10-30 05:40:30,555 - lightrag - INFO - _do_upsert:query: + MERGE (n:`BUSINESS MEN`) + SET n += $properties + RETURN n + :result:{'entity_type': '"ORGANIZATION"', 'description': '"The business men are a group discussing Scrooge\'s death, reflecting society\'s indifference and the consequential nature of wealth."', 'source_id': 'chunk-02baee20cc9463dbe08170a8e1043e32'} +2024-10-30 05:40:30,688 - lightrag - INFO - get_node:query:MATCH (n:`THE DEAD MAN`) RETURN n:result:"The Dead man is the subject of discussion among the business men, representing Scrooge himself and the consequences of his life."', 'source_id': 'chunk-02baee20cc9463dbe08170a8e1043e32chunk-60fc063c79fc0d4acc91a57e79de04dc'}> +2024-10-30 05:40:30,823 - lightrag - INFO - _do_upsert:query: + MERGE (n:`THE DEAD MAN`) + SET n += $properties + RETURN n + :result:{'entity_type': '"PERSON"', 'description': '"The Dead Man is mentioned as the previous owner of the items being appraised, embodying the consequences of greed and isolation.""The Dead man is the subject of discussion among the business men, representing Scrooge himself and the consequences of his life.""The Dead man is the subject of discussion among the business men, representing Scrooge himself and the consequences of his life."', 'source_id': 'chunk-60fc063c79fc0d4acc91a57e79de04dcchunk-02baee20cc9463dbe08170a8e1043e32'} +2024-10-30 05:40:30,958 - lightrag - INFO - get_node:query:MATCH (n:`JACOB`) RETURN n:result:"Jacob is referenced as Scrooge\'s old partner, significant for his recent death and the impact of this event on Scrooge\'s reflections."', 'source_id': 'chunk-f1a4fbcf1ed86864b9bfd5e8dba4c683'}> +2024-10-30 05:40:31,096 - lightrag - INFO - _do_upsert:query: + MERGE (n:`JACOB`) + SET n += $properties + RETURN n + :result:{'entity_type': '"PERSON"', 'description': '"Jacob is Scrooge\'s old partner whose death is acknowledged, influencing Scrooge\'s reflections on his own life and future.""Jacob is Scrooge\'s old partner whose death is acknowledged, influencing Scrooge\'s reflections on his own life and future.""Jacob is referenced as Scrooge\'s old partner, significant for his recent death and the impact of this event on Scrooge\'s reflections."', 'source_id': 'chunk-f1a4fbcf1ed86864b9bfd5e8dba4c683'} +2024-10-30 05:40:31,230 - lightrag - INFO - get_node:query:MATCH (n:`THE TOWN`) RETURN n:result: +2024-10-30 05:40:31,368 - lightrag - INFO - _do_upsert:query: + MERGE (n:`THE TOWN`) + SET n += $properties + RETURN n + :result:{'entity_type': '"GEO"', 'description': '"The Town is depicted as an obscure and morally degraded area contrasting with the lively scenes, indicating deep societal issues."', 'source_id': 'chunk-f1a4fbcf1ed86864b9bfd5e8dba4c683'} +2024-10-30 05:40:31,500 - lightrag - INFO - get_node:query:MATCH (n:`THE LOW-BROWED SHOP`) RETURN n:result:"The Low-Browed Shop is a setting that symbolizes neglect and degradation, filled with discarded items and representing societal decay."', 'source_id': 'chunk-f1a4fbcf1ed86864b9bfd5e8dba4c683'}> +2024-10-30 05:40:31,635 - lightrag - INFO - _do_upsert:query: + MERGE (n:`THE LOW-BROWED SHOP`) + SET n += $properties + RETURN n + :result:{'entity_type': '"ORGANIZATION"', 'description': '"The Low-Browed Shop is a grim establishment in the town dealing in various unwanted goods, representing decay and desperation.""The Low-Browed Shop is a grim establishment in the town dealing in various unwanted goods, representing decay and desperation.""The Low-Browed Shop is a setting that symbolizes neglect and degradation, filled with discarded items and representing societal decay."', 'source_id': 'chunk-f1a4fbcf1ed86864b9bfd5e8dba4c683'} +2024-10-30 05:40:31,774 - lightrag - INFO - get_node:query:MATCH (n:`RED-FACED GENTLEMAN`) RETURN n:result: +2024-10-30 05:40:31,921 - lightrag - INFO - _do_upsert:query: + MERGE (n:`RED-FACED GENTLEMAN`) + SET n += $properties + RETURN n + :result:{'entity_type': '"PERSON"', 'description': '"The Red-faced Gentleman is a character who humorously discusses the potential nature of a cheap funeral at the gathering."', 'source_id': 'chunk-f1a4fbcf1ed86864b9bfd5e8dba4c683'} +2024-10-30 05:40:32,057 - lightrag - INFO - get_node:query:MATCH (n:`GENTLEMAN WITH THE EXCRESCENCE`) RETURN n:result: +2024-10-30 05:40:32,194 - lightrag - INFO - _do_upsert:query: + MERGE (n:`GENTLEMAN WITH THE EXCRESCENCE`) + SET n += $properties + RETURN n + :result:{'entity_type': '"PERSON"', 'description': '"The Gentleman with the Excrescence is characterized by a physical trait and provides humorous remarks about attending a funeral."', 'source_id': 'chunk-f1a4fbcf1ed86864b9bfd5e8dba4c683'} +2024-10-30 05:40:32,326 - lightrag - INFO - get_node:query:MATCH (n:`OLD SCRATCH`) RETURN n:result:"Old Scratch is mentioned as a figure related to the conversation, symbolizing mischief and humor."', 'source_id': 'chunk-89777b838d5447c7bd1ec11282c4ee89chunk-f1a4fbcf1ed86864b9bfd5e8dba4c683'}> +2024-10-30 05:40:32,464 - lightrag - INFO - _do_upsert:query: + MERGE (n:`OLD SCRATCH`) + SET n += $properties + RETURN n + :result:{'entity_type': '"CONCEPT"', 'description': '"Old Scratch is a colloquial term used in reference to the devil, indicating a grim context in discussions about death.""Old Scratch is a colloquial term used in reference to the devil, indicating a grim context in discussions about death.""Old Scratch is mentioned as a figure related to the conversation, symbolizing mischief and humor."', 'source_id': 'chunk-f1a4fbcf1ed86864b9bfd5e8dba4c683chunk-89777b838d5447c7bd1ec11282c4ee89'} +2024-10-30 05:40:32,596 - lightrag - INFO - get_node:query:MATCH (n:`THE MEETING`) RETURN n:result: +2024-10-30 05:40:32,734 - lightrag - INFO - _do_upsert:query: + MERGE (n:`THE MEETING`) + SET n += $properties + RETURN n + :result:{'entity_type': '"EVENT"', 'description': '"The Meeting is characterized by light-hearted banter among characters regarding the funeral and their connections to the deceased."', 'source_id': 'chunk-f1a4fbcf1ed86864b9bfd5e8dba4c683'} +2024-10-30 05:40:32,867 - lightrag - INFO - get_node:query:MATCH (n:`THE PHANTOM`) RETURN n:result:"The Phantom represents the supernatural element in Scrooge\'s journey of self-reflection and moral awakening."', 'source_id': 'chunk-f1a4fbcf1ed86864b9bfd5e8dba4c683'}> +2024-10-30 05:40:33,005 - lightrag - INFO - _do_upsert:query: + MERGE (n:`THE PHANTOM`) + SET n += $properties + RETURN n + :result:{'entity_type': '"ORGANIZATION"', 'description': '"The Phantom represents a ghostly presence guiding Scrooge through reflections on his life and future decisions.""The Phantom represents a ghostly presence guiding Scrooge through reflections on his life and future decisions.""The Phantom represents the supernatural element in Scrooge\'s journey of self-reflection and moral awakening."', 'source_id': 'chunk-f1a4fbcf1ed86864b9bfd5e8dba4c683'} +2024-10-30 05:40:33,144 - lightrag - INFO - get_node:query:MATCH (n:`THE QUARTER`) RETURN n:result: +2024-10-30 05:40:33,284 - lightrag - INFO - _do_upsert:query: + MERGE (n:`THE QUARTER`) + SET n += $properties + RETURN n + :result:{'entity_type': '"GEO"', 'description': '"The Quarter is a depiction of an impoverished and crime-ridden area of the town, emphasizing societal neglect."', 'source_id': 'chunk-f1a4fbcf1ed86864b9bfd5e8dba4c683'} +2024-10-30 05:40:33,415 - lightrag - INFO - get_node:query:MATCH (n:`THE COAL SHOP`) RETURN n:result: +2024-10-30 05:40:33,553 - lightrag - INFO - _do_upsert:query: + MERGE (n:`THE COAL SHOP`) + SET n += $properties + RETURN n + :result:{'entity_type': '"ORGANIZATION"', 'description': '"The Coal Shop is a den of lowly transactions that signifies the harsh living conditions experienced by the characters in the quarter."', 'source_id': 'chunk-f1a4fbcf1ed86864b9bfd5e8dba4c683'} +2024-10-30 05:40:33,686 - lightrag - INFO - get_node:query:MATCH (n:`MISCELLANEOUS TATTERS`) RETURN n:result: +2024-10-30 05:40:33,823 - lightrag - INFO - _do_upsert:query: + MERGE (n:`MISCELLANEOUS TATTERS`) + SET n += $properties + RETURN n + :result:{'entity_type': '"CONCEPT"', 'description': '"Miscellaneous Tatters symbolize the shabby and worn conditions surrounding the characters in the Low-Browed Shop."', 'source_id': 'chunk-f1a4fbcf1ed86864b9bfd5e8dba4c683'} +2024-10-30 05:40:33,956 - lightrag - INFO - get_node:query:MATCH (n:`THE CHARCOAL STOVE`) RETURN n:result: +2024-10-30 05:40:34,093 - lightrag - INFO - _do_upsert:query: + MERGE (n:`THE CHARCOAL STOVE`) + SET n += $properties + RETURN n + :result:{'entity_type': '"TECHNOLOGY"', 'description': '"The Charcoal Stove is a humble source of warmth within the Low-Browed Shop, indicative of the bleak environment."', 'source_id': 'chunk-f1a4fbcf1ed86864b9bfd5e8dba4c683'} +2024-10-30 05:40:34,229 - lightrag - INFO - get_node:query:MATCH (n:`OLD JOE`) RETURN n:result:"Old Joe is a grey-haired man, nearly seventy years old, who runs a shop and conducts business in a rather nonchalant manner, showcasing a certain charm amidst his questionable dealings."', 'source_id': 'chunk-60fc063c79fc0d4acc91a57e79de04dc'}> +2024-10-30 05:40:34,366 - lightrag - INFO - _do_upsert:query: + MERGE (n:`OLD JOE`) + SET n += $properties + RETURN n + :result:{'entity_type': '"PERSON"', 'description': '"Old Joe is a grey-haired man who runs a shop where people come to sell their belongings after a death, embodying a rough, pragmatic character.""Old Joe is a grey-haired man who runs a shop where people come to sell their belongings after a death, embodying a rough, pragmatic character.""Old Joe is a grey-haired man, nearly seventy years old, who runs a shop and conducts business in a rather nonchalant manner, showcasing a certain charm amidst his questionable dealings."', 'source_id': 'chunk-60fc063c79fc0d4acc91a57e79de04dc'} +2024-10-30 05:40:34,499 - lightrag - INFO - get_node:query:MATCH (n:`MRS. DILBER`) RETURN n:result:"Mrs. Dilber is a laundress who participates in the gathering, commenting on the morality of their actions with a laugh."', 'source_id': 'chunk-60fc063c79fc0d4acc91a57e79de04dc'}> +2024-10-30 05:40:34,640 - lightrag - INFO - _do_upsert:query: + MERGE (n:`MRS. DILBER`) + SET n += $properties + RETURN n + :result:{'entity_type': '"PERSON"', 'description': '"Mrs. Dilber is a laundress who is involved in the discussion about the belongings they are handling, exhibiting a pragmatic attitude towards the situation.""Mrs. Dilber is a laundress who participates in the gathering, commenting on the morality of their actions with a laugh.""Mrs. Dilber is a laundress who participates in the gathering, commenting on the morality of their actions with a laugh."', 'source_id': 'chunk-60fc063c79fc0d4acc91a57e79de04dc'} +2024-10-30 05:40:34,773 - lightrag - INFO - get_node:query:MATCH (n:`THE MAN IN FADED BLACK`) RETURN n:result: +2024-10-30 05:40:34,912 - lightrag - INFO - _do_upsert:query: + MERGE (n:`THE MAN IN FADED BLACK`) + SET n += $properties + RETURN n + :result:{'entity_type': '"PERSON"', 'description': '"The Man in Faded Black is a character who, echoing the sentiments of the others, reveals his modest haul of stolen goods during the gathering."', 'source_id': 'chunk-60fc063c79fc0d4acc91a57e79de04dc'} +2024-10-30 05:40:35,047 - lightrag - INFO - get_node:query:MATCH (n:`THE SHOP`) RETURN n:result:"The Shop is a setting where characters gather to appraise items they have taken from the deceased, reflecting their attitudes towards death and morality."', 'source_id': 'chunk-60fc063c79fc0d4acc91a57e79de04dc'}> +2024-10-30 05:40:35,191 - lightrag - INFO - _do_upsert:query: + MERGE (n:`THE SHOP`) + SET n += $properties + RETURN n + :result:{'entity_type': '"ORGANIZATION"', 'description': '"The Shop is Old Joe\'s place of business and serves as the meeting location for the characters, where they evaluate and exchange stolen items.""The Shop is a setting where characters gather to appraise items they have taken from the deceased, reflecting their attitudes towards death and morality.""The Shop is a setting where characters gather to appraise items they have taken from the deceased, reflecting their attitudes towards death and morality."', 'source_id': 'chunk-60fc063c79fc0d4acc91a57e79de04dc'} +2024-10-30 05:40:35,328 - lightrag - INFO - get_node:query:MATCH (n:`THE BUNDLE`) RETURN n:result:"The Bundle refers to the collection of stolen items brought by the characters to Old Joe\'s shop for appraisal, symbolizing their actions post-death.""The Bundle refers to the collection of stolen items that the characters present to Old Joe for appraisal."', 'source_id': 'chunk-e1f29eeadc1d8ab46dc8a0bbd3c56b64chunk-60fc063c79fc0d4acc91a57e79de04dc'}> +2024-10-30 05:40:35,468 - lightrag - INFO - _do_upsert:query: + MERGE (n:`THE BUNDLE`) + SET n += $properties + RETURN n + :result:{'entity_type': '"EVENT"', 'description': '"The Bundle contains the belongings of the deceased man, which serve as a focal point for discussion among the characters regarding value and morality.""The Bundle contains the belongings of the deceased man, which serve as a focal point for discussion among the characters regarding value and morality.""The Bundle refers to the collection of stolen items brought by the characters to Old Joe\'s shop for appraisal, symbolizing their actions post-death.""The Bundle refers to the collection of stolen items that the characters present to Old Joe for appraisal.""The Bundle refers to the collection of stolen items brought by the characters to Old Joe\'s shop for appraisal, symbolizing their actions post-death."', 'source_id': 'chunk-60fc063c79fc0d4acc91a57e79de04dcchunk-e1f29eeadc1d8ab46dc8a0bbd3c56b64'} +2024-10-30 05:40:35,602 - lightrag - INFO - get_node:query:MATCH (n:`THE DEATH`) RETURN n:result: +2024-10-30 05:40:35,739 - lightrag - INFO - _do_upsert:query: + MERGE (n:`THE DEATH`) + SET n += $properties + RETURN n + :result:{'entity_type': '"EVENT"', 'description': '"The Death signifies the passing of a man whose belongings are being appraised, influencing the motivations and actions of the characters."', 'source_id': 'chunk-60fc063c79fc0d4acc91a57e79de04dc'} +2024-10-30 05:40:35,872 - lightrag - INFO - get_node:query:MATCH (n:`THE STOLEN GOODS`) RETURN n:result: +2024-10-30 05:40:36,008 - lightrag - INFO - _do_upsert:query: + MERGE (n:`THE STOLEN GOODS`) + SET n += $properties + RETURN n + :result:{'entity_type': '"EVENT"', 'description': '"The Stolen Goods are the items that the characters bring to Old Joe for evaluation, highlighting their moral stance and the circumstances surrounding the death."', 'source_id': 'chunk-60fc063c79fc0d4acc91a57e79de04dc'} +2024-10-30 05:40:36,141 - lightrag - INFO - get_node:query:MATCH (n:`THE ACCUSATION`) RETURN n:result: +2024-10-30 05:40:36,279 - lightrag - INFO - _do_upsert:query: + MERGE (n:`THE ACCUSATION`) + SET n += $properties + RETURN n + :result:{'entity_type': '"EVENT"', 'description': '"The Accusation refers to the implied judgement of the deceased\'s character that the characters discuss while evaluating their actions."', 'source_id': 'chunk-60fc063c79fc0d4acc91a57e79de04dc'} +2024-10-30 05:40:36,414 - lightrag - INFO - get_node:query:MATCH (n:`THE PARLOUR`) RETURN n:result: +2024-10-30 05:40:36,552 - lightrag - INFO - _do_upsert:query: + MERGE (n:`THE PARLOUR`) + SET n += $properties + RETURN n + :result:{'entity_type': '"LOCATION"', 'description': '"The Parlour is the private space behind the shop curtain where the characters engage in conversation and appraisal, symbolizing a shift from public to private."', 'source_id': 'chunk-60fc063c79fc0d4acc91a57e79de04dc'} +2024-10-30 05:40:36,688 - lightrag - INFO - get_node:query:MATCH (n:`THE RAGS`) RETURN n:result: +2024-10-30 05:40:36,826 - lightrag - INFO - _do_upsert:query: + MERGE (n:`THE RAGS`) + SET n += $properties + RETURN n + :result:{'entity_type': '"CONCEPT"', 'description': '"The Rags serve as a metaphor for the characters\' grim circumstances and the societal implications of their gathering, accentuating the theme of decay and neglect."', 'source_id': 'chunk-60fc063c79fc0d4acc91a57e79de04dc'} +2024-10-30 05:40:36,959 - lightrag - INFO - get_node:query:MATCH (n:`THE COLD AIR`) RETURN n:result: +2024-10-30 05:40:37,095 - lightrag - INFO - _do_upsert:query: + MERGE (n:`THE COLD AIR`) + SET n += $properties + RETURN n + :result:{'entity_type': '"CONCEPT"', 'description': '"The Cold Air symbolizes the harsh realities surrounding the characters and their actions, emphasizing the atmosphere of deprivation."', 'source_id': 'chunk-60fc063c79fc0d4acc91a57e79de04dc'} +2024-10-30 05:40:37,229 - lightrag - INFO - get_node:query:MATCH (n:`JUDGMENT`) RETURN n:result: +2024-10-30 05:40:37,366 - lightrag - INFO - _do_upsert:query: + MERGE (n:`JUDGMENT`) + SET n += $properties + RETURN n + :result:{'entity_type': '"CONCEPT"', 'description': '"Judgment here refers to the characters\' reflections on morality regarding their actions after the death, questioning societal norms and individual ethics."', 'source_id': 'chunk-60fc063c79fc0d4acc91a57e79de04dc'} +2024-10-30 05:40:37,498 - lightrag - INFO - get_node:query:MATCH (n:`THE LAUGHTER`) RETURN n:result: +2024-10-30 05:40:37,634 - lightrag - INFO - _do_upsert:query: + MERGE (n:`THE LAUGHTER`) + SET n += $properties + RETURN n + :result:{'entity_type': '"EVENT"', 'description': '"The Laughter represents a shared moment among the characters that highlights their camaraderie in the struggle against their grim realities."', 'source_id': 'chunk-60fc063c79fc0d4acc91a57e79de04dc'} +2024-10-30 05:40:37,764 - lightrag - INFO - get_node:query:MATCH (n:`THE DECEASED MAN`) RETURN n:result: +2024-10-30 05:40:37,901 - lightrag - INFO - _do_upsert:query: + MERGE (n:`THE DECEASED MAN`) + SET n += $properties + RETURN n + :result:{'entity_type': '"PERSON"', 'description': '"The Deceased Man is a character whose belongings are being discussed and whose death prompts reactions of horror and contemplation from Scrooge."', 'source_id': 'chunk-e1f29eeadc1d8ab46dc8a0bbd3c56b64'} +2024-10-30 05:40:38,035 - lightrag - INFO - get_node:query:MATCH (n:`DEATH`) RETURN n:result:"Death is described as a powerful force in the narrative, represented through the imagery of a cold, rigid presence and the contemplation of mortality.""Death refers to the passing of a character that triggers a range of emotions and reflections among the living, influencing their lives and relationships.""Death is depicted as a cold, inevitable force, prompting reflections on the value of life and the consequences of avarice."', 'source_id': 'chunk-e1f29eeadc1d8ab46dc8a0bbd3c56b64chunk-83ac129dc9b56f84c46760d153d68e93chunk-02baee20cc9463dbe08170a8e1043e32'}> +2024-10-30 05:40:38,171 - lightrag - INFO - _do_upsert:query: + MERGE (n:`DEATH`) + SET n += $properties + RETURN n + :result:{'entity_type': '"CONCEPT"', 'description': '"Death in the story is a significant event that triggers discussion among the Businessmen and prompts Scrooge\'s reflections.""Death is described as a powerful force in the narrative, represented through the imagery of a cold, rigid presence and the contemplation of mortality.""Death refers to the passing of a character that triggers a range of emotions and reflections among the living, influencing their lives and relationships.""Death is depicted as a cold, inevitable force, prompting reflections on the value of life and the consequences of avarice.""Death is depicted as a cold, inevitable force, prompting reflections on the value of life and the consequences of avarice."', 'source_id': 'chunk-02baee20cc9463dbe08170a8e1043e32chunk-83ac129dc9b56f84c46760d153d68e93chunk-e1f29eeadc1d8ab46dc8a0bbd3c56b64'} +2024-10-30 05:40:38,304 - lightrag - INFO - get_node:query:MATCH (n:`THE BED`) RETURN n:result:"The Bed represents a significant scene where the deceased man\'s body is laid, evoking deep emotions and realizations about life and morality."', 'source_id': 'chunk-e1f29eeadc1d8ab46dc8a0bbd3c56b64'}> +2024-10-30 05:40:38,442 - lightrag - INFO - _do_upsert:query: + MERGE (n:`THE BED`) + SET n += $properties + RETURN n + :result:{'entity_type': '"EVENT"', 'description': '"The Bed represents a central object in the scene, symbolizing the final resting place of The Deceased and contributing to the themes of mortality and neglect.""The Bed represents a significant scene where the deceased man\'s body is laid, evoking deep emotions and realizations about life and morality.""The Bed represents a significant scene where the deceased man\'s body is laid, evoking deep emotions and realizations about life and morality."', 'source_id': 'chunk-e1f29eeadc1d8ab46dc8a0bbd3c56b64'} +2024-10-30 05:40:38,576 - lightrag - INFO - get_node:query:MATCH (n:`THE BLANKETS`) RETURN n:result:"The Blankets are discussed in the context of the deceased\'s possessions, highlighting themes of care and abandonment after death."', 'source_id': 'chunk-e1f29eeadc1d8ab46dc8a0bbd3c56b64'}> +2024-10-30 05:40:38,713 - lightrag - INFO - _do_upsert:query: + MERGE (n:`THE BLANKETS`) + SET n += $properties + RETURN n + :result:{'entity_type': '"CONCEPT"', 'description': '"The Blankets are associated with the deceased man\'s body, symbolizing care and the human connection to the dead.""The Blankets are associated with the deceased man\'s body, symbolizing care and the human connection to the dead.""The Blankets are discussed in the context of the deceased\'s possessions, highlighting themes of care and abandonment after death."', 'source_id': 'chunk-e1f29eeadc1d8ab46dc8a0bbd3c56b64'} +2024-10-30 05:40:38,843 - lightrag - INFO - get_node:query:MATCH (n:`THE OIL`) RETURN n:result: +2024-10-30 05:40:38,982 - lightrag - INFO - _do_upsert:query: + MERGE (n:`THE OIL`) + SET n += $properties + RETURN n + :result:{'entity_type': '"CONCEPT"', 'description': '"The Oil is a material that the woman is cautious about spilling, representing the practical and sometimes distasteful attitude towards the deceased\'s belongings."', 'source_id': 'chunk-e1f29eeadc1d8ab46dc8a0bbd3c56b64'} +2024-10-30 05:40:39,113 - lightrag - INFO - get_node:query:MATCH (n:`THE SHIRT`) RETURN n:result: +2024-10-30 05:40:39,268 - lightrag - INFO - _do_upsert:query: + MERGE (n:`THE SHIRT`) + SET n += $properties + RETURN n + :result:{'entity_type': '"CONCEPT"', 'description': '"The Shirt belonged to the deceased man and is evaluated by the woman who claims it is in good condition, further emphasizing her pragmatic approach to death."', 'source_id': 'chunk-e1f29eeadc1d8ab46dc8a0bbd3c56b64'} +2024-10-30 05:40:39,419 - lightrag - INFO - get_node:query:MATCH (n:`THE FLANNEL BAG`) RETURN n:result:"The Flannel Bag is used by Joe to show the money gained from their dealings with the deceased, highlighting the theme of profit from death."', 'source_id': 'chunk-e1f29eeadc1d8ab46dc8a0bbd3c56b64'}> +2024-10-30 05:40:39,561 - lightrag - INFO - _do_upsert:query: + MERGE (n:`THE FLANNEL BAG`) + SET n += $properties + RETURN n + :result:{'entity_type': '"CONCEPT"', 'description': '"The Flannel Bag contains money and symbolizes the materialistic aspects of life and the relationships surrounding The Deceased’s possessions.""The Flannel Bag is used by Joe to show the money gained from their dealings with the deceased, highlighting the theme of profit from death.""The Flannel Bag is used by Joe to show the money gained from their dealings with the deceased, highlighting the theme of profit from death."', 'source_id': 'chunk-e1f29eeadc1d8ab46dc8a0bbd3c56b64'} +2024-10-30 05:40:39,701 - lightrag - INFO - get_node:query:MATCH (n:`OLD MAN'S LAMP`) RETURN n:result: +2024-10-30 05:40:39,838 - lightrag - INFO - _do_upsert:query: + MERGE (n:`OLD MAN'S LAMP`) + SET n += $properties + RETURN n + :result:{'entity_type': '"CONCEPT"', 'description': '"The Old Man\'s Lamp provides scant light in the scene, contributing to the mood of tension and eeriness surrounding the deceased."', 'source_id': 'chunk-e1f29eeadc1d8ab46dc8a0bbd3c56b64'} +2024-10-30 05:40:39,980 - lightrag - INFO - get_node:query:MATCH (n:`THE CORPSE`) RETURN n:result: +2024-10-30 05:40:40,115 - lightrag - INFO - _do_upsert:query: + MERGE (n:`THE CORPSE`) + SET n += $properties + RETURN n + :result:{'entity_type': '"PERSON"', 'description': '"The Corpse represents the deceased man whose belongings are being discussed, serving as a stark reminder of mortality."', 'source_id': 'chunk-e1f29eeadc1d8ab46dc8a0bbd3c56b64'} +2024-10-30 05:40:40,250 - lightrag - INFO - get_node:query:MATCH (n:`THE DARK ROOM`) RETURN n:result:"The Dark Room serves as the setting for the scene, enhancing the atmosphere of dread and the theme of impending death."', 'source_id': 'chunk-e1f29eeadc1d8ab46dc8a0bbd3c56b64'}> +2024-10-30 05:40:40,392 - lightrag - INFO - _do_upsert:query: + MERGE (n:`THE DARK ROOM`) + SET n += $properties + RETURN n + :result:{'entity_type': '"GEO"', 'description': '"The Dark Room is where the corpse lies, symbolizing isolation and the lack of care for the deceased.""The Dark Room is where the corpse lies, symbolizing isolation and the lack of care for the deceased.""The Dark Room serves as the setting for the scene, enhancing the atmosphere of dread and the theme of impending death."', 'source_id': 'chunk-e1f29eeadc1d8ab46dc8a0bbd3c56b64'} +2024-10-30 05:40:40,529 - lightrag - INFO - get_node:query:MATCH (n:`CAROLINE`) RETURN n:result:"Caroline is portrayed as a mother filled with hope and emotion regarding her husband’s situation, revealing her character through her reactions to news."', 'source_id': 'chunk-83ac129dc9b56f84c46760d153d68e93'}> +2024-10-30 05:40:40,665 - lightrag - INFO - _do_upsert:query: + MERGE (n:`CAROLINE`) + SET n += $properties + RETURN n + :result:{'entity_type': '"PERSON"', 'description': '"Caroline is a character representing hope and emotional depth, reacting to her husband\'s news about their financial situation with a mixture of dread and optimism.""Caroline is portrayed as a mother filled with hope and emotion regarding her husband’s situation, revealing her character through her reactions to news.""Caroline is portrayed as a mother filled with hope and emotion regarding her husband’s situation, revealing her character through her reactions to news."', 'source_id': 'chunk-83ac129dc9b56f84c46760d153d68e93'} +2024-10-30 05:40:40,802 - lightrag - INFO - get_node:query:MATCH (n:`THE CRATCHIT HOUSE`) RETURN n:result: +2024-10-30 05:40:40,938 - lightrag - INFO - _do_upsert:query: + MERGE (n:`THE CRATCHIT HOUSE`) + SET n += $properties + RETURN n + :result:{'entity_type': '"ORGANIZATION"', 'description': '"The Cratchit House symbolizes a place of familial connection and warmth, despite the hardships faced by its inhabitants."', 'source_id': 'chunk-83ac129dc9b56f84c46760d153d68e93'} +2024-10-30 05:40:41,074 - lightrag - INFO - get_node:query:MATCH (n:`THE EVENT OF DEATH`) RETURN n:result: +2024-10-30 05:40:41,211 - lightrag - INFO - _do_upsert:query: + MERGE (n:`THE EVENT OF DEATH`) + SET n += $properties + RETURN n + :result:{'entity_type': '"EVENT"', 'description': '"The Event of Death signifies a pivotal moment affecting the characters, transitioning their emotional state and family dynamics."', 'source_id': 'chunk-83ac129dc9b56f84c46760d153d68e93'} +2024-10-30 05:40:41,344 - lightrag - INFO - get_node:query:MATCH (n:`THE HUSBAND`) RETURN n:result: +2024-10-30 05:40:41,484 - lightrag - INFO - _do_upsert:query: + MERGE (n:`THE HUSBAND`) + SET n += $properties + RETURN n + :result:{'entity_type': '"PERSON"', 'description': '"The Husband is depicted as a careworn man, bringing news that impacts his family\'s emotional state, symbolizing the struggle between hope and despair."', 'source_id': 'chunk-83ac129dc9b56f84c46760d153d68e93'} +2024-10-30 05:40:41,613 - lightrag - INFO - get_node:query:MATCH (n:`PETER`) RETURN n:result:"Peter is one of the Cratchit children, who occasionally expresses a sense of duty and future aspirations, contributing to family discussions.""Peter is a son in the Cratchit family, responsible and calm, attempting to engage his siblings amidst a tense family situation and financial uncertainty.""Peter is the son of Bob and Mrs. Cratchit, showing concern and support for his father and siblings."', 'source_id': 'chunk-83ac129dc9b56f84c46760d153d68e93chunk-1d4b58de5429cd1261370c231c8673e8'}> +2024-10-30 05:40:41,749 - lightrag - INFO - _do_upsert:query: + MERGE (n:`PETER`) + SET n += $properties + RETURN n + :result:{'entity_type': '"PERSON"', 'description': '"Peter is a member of the Cratchit family, characterized by his quiet demeanor while being engaged in reading, representing the next generation\'s concern.""Peter is one of the Cratchit children, who occasionally expresses a sense of duty and future aspirations, contributing to family discussions.""Peter is a son in the Cratchit family, responsible and calm, attempting to engage his siblings amidst a tense family situation and financial uncertainty.""Peter is the son of Bob and Mrs. Cratchit, showing concern and support for his father and siblings.""Peter is a son in the Cratchit family, responsible and calm, attempting to engage his siblings amidst a tense family situation and financial uncertainty.""Peter is the son of Bob and Mrs. Cratchit, showing concern and support for his father and siblings."', 'source_id': 'chunk-1d4b58de5429cd1261370c231c8673e8chunk-83ac129dc9b56f84c46760d153d68e93'} +2024-10-30 05:40:41,884 - lightrag - INFO - get_node:query:MATCH (n:`THE DEBT`) RETURN n:result: +2024-10-30 05:40:42,023 - lightrag - INFO - _do_upsert:query: + MERGE (n:`THE DEBT`) + SET n += $properties + RETURN n + :result:{'entity_type': '"CONCEPT"', 'description': '"The Debt symbolizes the financial burdens faced by the Cratchit family, a source of anxiety and tension impacting their morale and outlook."', 'source_id': 'chunk-83ac129dc9b56f84c46760d153d68e93'} +2024-10-30 05:40:42,156 - lightrag - INFO - get_node:query:MATCH (n:`MR. SCROOGE'S NEPHEW`) RETURN n:result:"Mr. Scrooge\'s Nephew is a kind gentleman who shows concern for Bob Cratchit and offers support, symbolizing generosity and compassion."', 'source_id': 'chunk-1d4b58de5429cd1261370c231c8673e8'}> +2024-10-30 05:40:42,296 - lightrag - INFO - _do_upsert:query: + MERGE (n:`MR. SCROOGE'S NEPHEW`) + SET n += $properties + RETURN n + :result:{'entity_type': '"PERSON"', 'description': '"Mr. Scrooge\'s Nephew is a kind gentleman who expresses sympathy for Bob Cratchit and offers help, reflecting goodwill.""Mr. Scrooge\'s Nephew is a kind gentleman who expresses sympathy for Bob Cratchit and offers help, reflecting goodwill.""Mr. Scrooge\'s Nephew is a kind gentleman who shows concern for Bob Cratchit and offers support, symbolizing generosity and compassion."', 'source_id': 'chunk-1d4b58de5429cd1261370c231c8673e8'} +2024-10-30 05:40:42,432 - lightrag - INFO - get_node:query:MATCH (n:`THE TWO YOUNG CRATCHITS`) RETURN n:result:"The Two Young Cratchits are the younger children in the Cratchit family, who express affection towards their father, Bob."', 'source_id': 'chunk-1d4b58de5429cd1261370c231c8673e8'}> +2024-10-30 05:40:42,567 - lightrag - INFO - _do_upsert:query: + MERGE (n:`THE TWO YOUNG CRATCHITS`) + SET n += $properties + RETURN n + :result:{'entity_type': '"PERSON"', 'description': '"The Two Young Cratchits are siblings who show affection for their father, demonstrating the innocence and unity of childhood.""The Two Young Cratchits are siblings who show affection for their father, demonstrating the innocence and unity of childhood.""The Two Young Cratchits are the younger children in the Cratchit family, who express affection towards their father, Bob."', 'source_id': 'chunk-1d4b58de5429cd1261370c231c8673e8'} +2024-10-30 05:40:42,704 - lightrag - INFO - get_node:query:MATCH (n:`THE TABLE`) RETURN n:result: +2024-10-30 05:40:42,843 - lightrag - INFO - _do_upsert:query: + MERGE (n:`THE TABLE`) + SET n += $properties + RETURN n + :result:{'entity_type': '"GEO"', 'description': '"The Table is where the Cratchit family gathers, representing their domestic life and togetherness."', 'source_id': 'chunk-1d4b58de5429cd1261370c231c8673e8'} +2024-10-30 05:40:42,979 - lightrag - INFO - get_node:query:MATCH (n:`THE ROOM ABOVE`) RETURN n:result: +2024-10-30 05:40:43,114 - lightrag - INFO - _do_upsert:query: + MERGE (n:`THE ROOM ABOVE`) + SET n += $properties + RETURN n + :result:{'entity_type': '"GEO"', 'description': '"The Room Above is a space in the Cratchit household which is illuminated cheerfully, suggesting a haven despite their hardships."', 'source_id': 'chunk-1d4b58de5429cd1261370c231c8673e8'} +2024-10-30 05:40:43,246 - lightrag - INFO - get_node:query:MATCH (n:`THE GHOST OF CHRISTMAS YET TO COME`) RETURN n:result:"The Ghost of Christmas Yet to Come is a spirit that shows Scrooge the consequences of his actions, pointing toward his eventual demise.""The Ghost of Christmas Yet to Come reveals the potential consequences of Scrooge\'s current life choices, emphasizing themes of mortality and legacy."', 'source_id': 'chunk-90b95db5c53e4364a6bee36b7aa4d70fchunk-91572b3cd42786ba4cb2f180ca25cbf4'}> +2024-10-30 05:40:43,392 - lightrag - INFO - _do_upsert:query: + MERGE (n:`THE GHOST OF CHRISTMAS YET TO COME`) + SET n += $properties + RETURN n + :result:{'entity_type': '"ORGANIZATION"', 'description': '"The Ghost of Christmas Yet to Come is a spectral being that guides Scrooge through visions of his potential future.""The Ghost of Christmas Yet to Come is a spirit that shows Scrooge the consequences of his actions, pointing toward his eventual demise.""The Ghost of Christmas Yet to Come reveals the potential consequences of Scrooge\'s current life choices, emphasizing themes of mortality and legacy.""The Ghost of Christmas Yet to Come is a spirit that shows Scrooge the consequences of his actions, pointing toward his eventual demise.""The Ghost of Christmas Yet to Come reveals the potential consequences of Scrooge\'s current life choices, emphasizing themes of mortality and legacy."', 'source_id': 'chunk-90b95db5c53e4364a6bee36b7aa4d70fchunk-91572b3cd42786ba4cb2f180ca25cbf4'} +2024-10-30 05:40:43,526 - lightrag - INFO - get_node:query:MATCH (n:`GRAVE`) RETURN n:result: +2024-10-30 05:40:43,665 - lightrag - INFO - _do_upsert:query: + MERGE (n:`GRAVE`) + SET n += $properties + RETURN n + :result:{'entity_type': '"GEO"', 'description': '"The Grave represents a place where Scrooge\'s future self lies, symbolizing death and the consequences of a life unexamined."', 'source_id': 'chunk-91572b3cd42786ba4cb2f180ca25cbf4'} +2024-10-30 05:40:43,797 - lightrag - INFO - get_node:query:MATCH (n:`THE GRAVESTONE`) RETURN n:result: +2024-10-30 05:40:43,934 - lightrag - INFO - _do_upsert:query: + MERGE (n:`THE GRAVESTONE`) + SET n += $properties + RETURN n + :result:{'entity_type': '"GEO"', 'description': '"The Gravestone bears Scrooge\'s name and symbolizes mortality and the legacy of his actions during his lifetime."', 'source_id': 'chunk-91572b3cd42786ba4cb2f180ca25cbf4'} +2024-10-30 05:40:44,067 - lightrag - INFO - get_node:query:MATCH (n:`THE FUTURE`) RETURN n:result:"The Future represents the potential outcomes of Scrooge’s life choices, depicted through the visions shown by the Spirits.""The Future refers to the outcomes that Scrooge may face based on his current actions, raising themes of choice and consequence."', 'source_id': 'chunk-91572b3cd42786ba4cb2f180ca25cbf4chunk-02baee20cc9463dbe08170a8e1043e32'}> +2024-10-30 05:40:44,205 - lightrag - INFO - _do_upsert:query: + MERGE (n:`THE FUTURE`) + SET n += $properties + RETURN n + :result:{'entity_type': '"CONCEPT"', 'description': '"The Future is represented as a realm of possibility and consequence that concerns Scrooge\'s fate and choices.""The Future represents the potential outcomes of Scrooge’s life choices, depicted through the visions shown by the Spirits.""The Future refers to the outcomes that Scrooge may face based on his current actions, raising themes of choice and consequence.""The Future refers to the outcomes that Scrooge may face based on his current actions, raising themes of choice and consequence."', 'source_id': 'chunk-91572b3cd42786ba4cb2f180ca25cbf4chunk-02baee20cc9463dbe08170a8e1043e32'} +2024-10-30 05:40:44,341 - lightrag - INFO - get_node:query:MATCH (n:`THE PAST`) RETURN n:result:"The Past reflects on Scrooge\'s earlier life choices and experiences that shaped who he has become."', 'source_id': 'chunk-91572b3cd42786ba4cb2f180ca25cbf4'}> +2024-10-30 05:40:44,479 - lightrag - INFO - _do_upsert:query: + MERGE (n:`THE PAST`) + SET n += $properties + RETURN n + :result:{'entity_type': '"CONCEPT"', 'description': '"The Past is a concept that reflects Scrooge\'s memories and previous actions that influence his current state and future decisions.""The Past reflects on Scrooge\'s earlier life choices and experiences that shaped who he has become.""The Past reflects on Scrooge\'s earlier life choices and experiences that shaped who he has become."', 'source_id': 'chunk-91572b3cd42786ba4cb2f180ca25cbf4'} +2024-10-30 05:40:44,614 - lightrag - INFO - get_node:query:MATCH (n:`THE PRESENT`) RETURN n:result:"The Present represents the current moment in Scrooge\'s life that he must recognize and change to achieve redemption."', 'source_id': 'chunk-91572b3cd42786ba4cb2f180ca25cbf4'}> +2024-10-30 05:40:44,751 - lightrag - INFO - _do_upsert:query: + MERGE (n:`THE PRESENT`) + SET n += $properties + RETURN n + :result:{'entity_type': '"CONCEPT"', 'description': '"The Present emphasizes the importance of living in the moment and embracing current opportunities for change.""The Present emphasizes the importance of living in the moment and embracing current opportunities for change.""The Present represents the current moment in Scrooge\'s life that he must recognize and change to achieve redemption."', 'source_id': 'chunk-91572b3cd42786ba4cb2f180ca25cbf4'} +2024-10-30 05:40:44,884 - lightrag - INFO - get_node:query:MATCH (n:`THE POULTERER'S`) RETURN n:result:"The Poulterer\'s is a shop where Scrooge intends to buy a turkey for the Cratchit family."', 'source_id': 'chunk-90b95db5c53e4364a6bee36b7aa4d70f'}> +2024-10-30 05:40:45,022 - lightrag - INFO - _do_upsert:query: + MERGE (n:`THE POULTERER'S`) + SET n += $properties + RETURN n + :result:{'entity_type': '"ORGANIZATION"', 'description': '"The Poulterer\'s is a shop mentioned by Scrooge, relevant in the context of his generous actions towards the Cratchit family.""The Poulterer\'s is a shop mentioned by Scrooge, relevant in the context of his generous actions towards the Cratchit family.""The Poulterer\'s is a shop where Scrooge intends to buy a turkey for the Cratchit family."', 'source_id': 'chunk-90b95db5c53e4364a6bee36b7aa4d70f'} +2024-10-30 05:40:45,157 - lightrag - INFO - get_node:query:MATCH (n:`THE SPIRITS`) RETURN n:result:"The Spirits represent the past, present, and future in Scrooge\'s life, guiding him toward redemption and self-reflection.""The Spirits represent the forces that guide Scrooge towards his transformation and are instrumental in his journey of redemption."', 'source_id': 'chunk-90b95db5c53e4364a6bee36b7aa4d70fchunk-cb661c37436355ccec2769b1d0350c5f'}> +2024-10-30 05:40:45,295 - lightrag - INFO - _do_upsert:query: + MERGE (n:`THE SPIRITS`) + SET n += $properties + RETURN n + :result:{'entity_type': '"CONCEPT"', 'description': '"The Spirits collectively represent the supernatural forces that seek to guide and teach Scrooge about the impact of his life choices.""The Spirits represent the past, present, and future in Scrooge\'s life, guiding him toward redemption and self-reflection.""The Spirits represent the forces that guide Scrooge towards his transformation and are instrumental in his journey of redemption.""The Spirits represent the forces that guide Scrooge towards his transformation and are instrumental in his journey of redemption."', 'source_id': 'chunk-90b95db5c53e4364a6bee36b7aa4d70fchunk-cb661c37436355ccec2769b1d0350c5f'} +2024-10-30 05:40:45,438 - lightrag - INFO - get_node:query:MATCH (n:`THE GHOST OF CHRISTMAS PRESENT`) RETURN n:result:"The Ghost of Christmas Present is a supernatural being that shows Scrooge the true spirit of Christmas, including kindness towards the poor.""The Ghost of Christmas Present signifies abundance and the spirit of joy that Scrooge is encouraged to embrace.""The Ghost of Christmas Present is one of the spirits that help Scrooge understand the importance of generosity and compassion during the festive season."', 'source_id': 'chunk-90b95db5c53e4364a6bee36b7aa4d70fchunk-b0f459f5af1c3a5e0b92cbe4ee48b77bchunk-43c9bee23adfa77aa9dedd22401bba7d'}> +2024-10-30 05:40:45,577 - lightrag - INFO - _do_upsert:query: + MERGE (n:`THE GHOST OF CHRISTMAS PRESENT`) + SET n += $properties + RETURN n + :result:{'entity_type': '"PERSON"', 'description': '"The Ghost of Christmas Present is a spirit that guides Scrooge through his memories and the joy of the present Christmas celebration.""The Ghost of Christmas Present is a supernatural being that shows Scrooge the true spirit of Christmas, including kindness towards the poor.""The Ghost of Christmas Present signifies abundance and the spirit of joy that Scrooge is encouraged to embrace.""The Ghost of Christmas Present is one of the spirits that help Scrooge understand the importance of generosity and compassion during the festive season.""The Ghost of Christmas Present is one of the spirits that help Scrooge understand the importance of generosity and compassion during the festive season."', 'source_id': 'chunk-90b95db5c53e4364a6bee36b7aa4d70fchunk-43c9bee23adfa77aa9dedd22401bba7dchunk-b0f459f5af1c3a5e0b92cbe4ee48b77b'} +2024-10-30 05:40:45,713 - lightrag - INFO - get_node:query:MATCH (n:`THE CHRISTMAS DINNER`) RETURN n:result: +2024-10-30 05:40:45,850 - lightrag - INFO - _do_upsert:query: + MERGE (n:`THE CHRISTMAS DINNER`) + SET n += $properties + RETURN n + :result:{'entity_type': '"EVENT"', 'description': '"The Christmas Dinner signifies the gathering of the Cratchit family, highlighting themes of togetherness and the warmth of family during the holiday season."', 'source_id': 'chunk-90b95db5c53e4364a6bee36b7aa4d70f'} +2024-10-30 05:40:45,982 - lightrag - INFO - get_node:query:MATCH (n:`THE STREET`) RETURN n:result:"The Street is where Mr. Scrooge\'s Nephew encounters Bob Cratchit, facilitating a significant moment of kindness in the narrative.""The Street represents the setting where Scrooge interacts with various characters and experiences joy, emphasizing the festive atmosphere."', 'source_id': 'chunk-90b95db5c53e4364a6bee36b7aa4d70fchunk-8f738cb25d60a7dab782162d9d0a25edchunk-1d4b58de5429cd1261370c231c8673e8'}> +2024-10-30 05:40:46,120 - lightrag - INFO - _do_upsert:query: + MERGE (n:`THE STREET`) + SET n += $properties + RETURN n + :result:{'entity_type': '"GEO"', 'description': '"The Street is the setting where Scrooge interacts with the boy and demonstrates his newfound generosity after his transformation.""The Street is the setting where Scrooge interacts with the boy and demonstrates his newfound generosity after his transformation.""The Street is where Mr. Scrooge\'s Nephew encounters Bob Cratchit, facilitating a significant moment of kindness in the narrative.""The Street represents the setting where Scrooge interacts with various characters and experiences joy, emphasizing the festive atmosphere.""The Street represents the setting where Scrooge interacts with various characters and experiences joy, emphasizing the festive atmosphere."', 'source_id': 'chunk-90b95db5c53e4364a6bee36b7aa4d70fchunk-8f738cb25d60a7dab782162d9d0a25edchunk-1d4b58de5429cd1261370c231c8673e8'} +2024-10-30 05:40:46,258 - lightrag - INFO - get_node:query:MATCH (n:`THE BOY`) RETURN n:result:"The Boy is a young messenger who interacts with Scrooge during his purchase of the turkey.""The Boy represents innocence and curiosity, serving as a catalyst for Scrooge\'s generous act by purchasing the turkey."', 'source_id': 'chunk-90b95db5c53e4364a6bee36b7aa4d70fchunk-8bc1edd983869352d14cf0886a9175a7chunk-8f738cb25d60a7dab782162d9d0a25ed'}> +2024-10-30 05:40:46,397 - lightrag - INFO - _do_upsert:query: + MERGE (n:`THE BOY`) + SET n += $properties + RETURN n + :result:{'entity_type': '"PERSON"', 'description': '"The Boy is a character mentioned briefly, who tries to hide behind another girl, indicating shyness among the festive crowd.""The Boy is a young messenger who interacts with Scrooge during his purchase of the turkey.""The Boy represents innocence and curiosity, serving as a catalyst for Scrooge\'s generous act by purchasing the turkey.""The Boy represents innocence and curiosity, serving as a catalyst for Scrooge\'s generous act by purchasing the turkey."', 'source_id': 'chunk-90b95db5c53e4364a6bee36b7aa4d70fchunk-8f738cb25d60a7dab782162d9d0a25edchunk-8bc1edd983869352d14cf0886a9175a7'} +2024-10-30 05:40:46,535 - lightrag - INFO - get_node:query:MATCH (n:`THE TURKEY`) RETURN n:result:"The Turkey represents a key symbol of generosity and festivity during Christmas, as Scrooge purchases it to spread joy.""The Turkey symbolizes the generosity and festive spirit that Scrooge embraces following his transformation."', 'source_id': 'chunk-90b95db5c53e4364a6bee36b7aa4d70fchunk-8f738cb25d60a7dab782162d9d0a25ed'}> +2024-10-30 05:40:46,672 - lightrag - INFO - _do_upsert:query: + MERGE (n:`THE TURKEY`) + SET n += $properties + RETURN n + :result:{'entity_type': '"EVENT"', 'description': '"The Turkey is a large bird that Scrooge has humorously commented on sending to Bob, symbolizing generosity and Christmas spirit.""The Turkey represents a key symbol of generosity and festivity during Christmas, as Scrooge purchases it to spread joy.""The Turkey symbolizes the generosity and festive spirit that Scrooge embraces following his transformation.""The Turkey represents a key symbol of generosity and festivity during Christmas, as Scrooge purchases it to spread joy.""The Turkey symbolizes the generosity and festive spirit that Scrooge embraces following his transformation."', 'source_id': 'chunk-90b95db5c53e4364a6bee36b7aa4d70fchunk-8f738cb25d60a7dab782162d9d0a25ed'} +2024-10-30 05:40:46,807 - lightrag - INFO - get_node:query:MATCH (n:`THE OLD GENTLEMAN`) RETURN n:result: +2024-10-30 05:40:46,943 - lightrag - INFO - _do_upsert:query: + MERGE (n:`THE OLD GENTLEMAN`) + SET n += $properties + RETURN n + :result:{'entity_type': '"PERSON"', 'description': '"The Old Gentleman is a character with whom Scrooge interacts, showcasing the themes of kindness and forgiveness."', 'source_id': 'chunk-8f738cb25d60a7dab782162d9d0a25ed'} +2024-10-30 05:40:47,074 - lightrag - INFO - get_node:query:MATCH (n:`BOB`) RETURN n:result:"Bob is referenced humorously by Scrooge in the context of a joke regarding a large turkey.""Bob is likely referenced as a character who may receive the turkey sent by Scrooge, highlighting the theme of generosity."', 'source_id': 'chunk-91572b3cd42786ba4cb2f180ca25cbf4chunk-8f738cb25d60a7dab782162d9d0a25ed'}> +2024-10-30 05:40:47,217 - lightrag - INFO - _do_upsert:query: + MERGE (n:`BOB`) + SET n += $properties + RETURN n + :result:{'entity_type': '"PERSON"', 'description': '"Bob is a character who reflects on the importance of unity and remembering Tiny Tim among his family.""Bob is referenced humorously by Scrooge in the context of a joke regarding a large turkey.""Bob is likely referenced as a character who may receive the turkey sent by Scrooge, highlighting the theme of generosity.""Bob is likely referenced as a character who may receive the turkey sent by Scrooge, highlighting the theme of generosity."', 'source_id': 'chunk-8f738cb25d60a7dab782162d9d0a25edchunk-91572b3cd42786ba4cb2f180ca25cbf4'} +2024-10-30 05:40:47,351 - lightrag - INFO - get_node:query:MATCH (n:`THE CAB`) RETURN n:result: +2024-10-30 05:40:47,592 - lightrag - INFO - _do_upsert:query: + MERGE (n:`THE CAB`) + SET n += $properties + RETURN n + :result:{'entity_type': '"EVENT"', 'description': '"The Cab is an event associated with transporting the turkey, illustrating the lengths to which Scrooge is willing to go to share joy."', 'source_id': 'chunk-8f738cb25d60a7dab782162d9d0a25ed'} +2024-10-30 05:40:47,725 - lightrag - INFO - get_node:query:MATCH (n:`THE KITCHEN`) RETURN n:result: +2024-10-30 05:40:47,862 - lightrag - INFO - _do_upsert:query: + MERGE (n:`THE KITCHEN`) + SET n += $properties + RETURN n + :result:{'entity_type': '"GEO"', 'description': '"The Kitchen is a location that Scrooge looks into, symbolizing warmth, family, and the spirit of hospitality during the holiday season."', 'source_id': 'chunk-8f738cb25d60a7dab782162d9d0a25ed'} +2024-10-30 05:40:47,996 - lightrag - INFO - get_node:query:MATCH (n:`MISTRESS`) RETURN n:result: +2024-10-30 05:40:48,131 - lightrag - INFO - _do_upsert:query: + MERGE (n:`MISTRESS`) + SET n += $properties + RETURN n + :result:{'entity_type': '"PERSON"', 'description': '"Mistress is referenced in relation to Fred, indicating the presence of family dynamics during the Christmas celebration."', 'source_id': 'chunk-8f738cb25d60a7dab782162d9d0a25ed'} +2024-10-30 05:40:48,264 - lightrag - INFO - get_node:query:MATCH (n:`THE FAMILY`) RETURN n:result: +2024-10-30 05:40:48,403 - lightrag - INFO - _do_upsert:query: + MERGE (n:`THE FAMILY`) + SET n += $properties + RETURN n + :result:{'entity_type': '"ORGANIZATION"', 'description': '"The Family includes Bob Cratchit and his loved ones, who represent themes of togetherness and support during Christmas."', 'source_id': 'chunk-94bea83e7153fc2064aa382b494936a1'} +2024-10-30 05:40:48,534 - lightrag - INFO - get_node:query:MATCH (n:`THE TANK`) RETURN n:result:"The Tank refers to Bob Cratchit\'s work area, where he encounters Scrooge and faces the consequences of arriving late."', 'source_id': 'chunk-94bea83e7153fc2064aa382b494936a1'}> +2024-10-30 05:40:48,672 - lightrag - INFO - _do_upsert:query: + MERGE (n:`THE TANK`) + SET n += $properties + RETURN n + :result:{'entity_type': '"LOCATION"', 'description': '"The Tank is the workplace setting where Bob Cratchit works under Scrooge, highlighting the power dynamics in their relationship.""The Tank is the workplace setting where Bob Cratchit works under Scrooge, highlighting the power dynamics in their relationship.""The Tank refers to Bob Cratchit\'s work area, where he encounters Scrooge and faces the consequences of arriving late."', 'source_id': 'chunk-94bea83e7153fc2064aa382b494936a1'} +2024-10-30 05:40:48,807 - lightrag - INFO - get_node:query:MATCH (n:`SMOKING BISHOP`) RETURN n:result: +2024-10-30 05:40:48,945 - lightrag - INFO - _do_upsert:query: + MERGE (n:`SMOKING BISHOP`) + SET n += $properties + RETURN n + :result:{'entity_type': '"CONCEPT"', 'description': '"Smoking Bishop is a traditional Christmas drink mentioned in the context of Scrooge and Bob\'s plans to celebrate together, symbolizing festive cheer."', 'source_id': 'chunk-94bea83e7153fc2064aa382b494936a1'} +2024-10-30 05:40:49,077 - lightrag - INFO - get_node:query:MATCH (n:`THE FOUNDATION`) RETURN n:result:"The Foundation, referred to as the Project Gutenberg Literary Archive Foundation, owns the compilation copyright of Project Gutenberg\'s collection."', 'source_id': 'chunk-194cd9680f4967f48bea89678f7ece21'}> +2024-10-30 05:40:49,216 - lightrag - INFO - _do_upsert:query: + MERGE (n:`THE FOUNDATION`) + SET n += $properties + RETURN n + :result:{'entity_type': '"ORGANIZATION"', 'description': '"The Foundation, also known as the Project Gutenberg Literary Archive Foundation, owns the compilation copyright in the collection of Project Gutenberg electronic works.""The Foundation, also known as the Project Gutenberg Literary Archive Foundation, owns the compilation copyright in the collection of Project Gutenberg electronic works.""The Foundation, referred to as the Project Gutenberg Literary Archive Foundation, owns the compilation copyright of Project Gutenberg\'s collection."', 'source_id': 'chunk-194cd9680f4967f48bea89678f7ece21'} +2024-10-30 05:40:49,355 - lightrag - INFO - get_node:query:MATCH (n:`TRANSCRIBER'S NOTE`) RETURN n:result:"Transcriber\'s Note refers to the added content by the transcriber, indicating additional information or context regarding the work."', 'source_id': 'chunk-194cd9680f4967f48bea89678f7ece21'}> +2024-10-30 05:40:49,493 - lightrag - INFO - _do_upsert:query: + MERGE (n:`TRANSCRIBER'S NOTE`) + SET n += $properties + RETURN n + :result:{'entity_type': '"EVENT"', 'description': '"The Transcriber\'s note indicates additional information provided by the transcriber of the Project Gutenberg eBook.""The Transcriber\'s note indicates additional information provided by the transcriber of the Project Gutenberg eBook.""Transcriber\'s Note refers to the added content by the transcriber, indicating additional information or context regarding the work."', 'source_id': 'chunk-194cd9680f4967f48bea89678f7ece21'} +2024-10-30 05:40:49,632 - lightrag - INFO - get_node:query:MATCH (n:`UNITED STATES COPYRIGHT`) RETURN n:result: +2024-10-30 05:40:49,769 - lightrag - INFO - _do_upsert:query: + MERGE (n:`UNITED STATES COPYRIGHT`) + SET n += $properties + RETURN n + :result:{'entity_type': '"CONCEPT"', 'description': '"United States copyright refers to the laws governing the protection of intellectual property, which influence the distribution of works within the U.S."', 'source_id': 'chunk-194cd9680f4967f48bea89678f7ece21'} +2024-10-30 05:40:49,905 - lightrag - INFO - get_node:query:MATCH (n:`GENERAL TERMS OF USE`) RETURN n:result:"The General Terms of Use outlines regulations for using and distributing Project Gutenberg works."', 'source_id': 'chunk-194cd9680f4967f48bea89678f7ece21'}> +2024-10-30 05:40:50,043 - lightrag - INFO - _do_upsert:query: + MERGE (n:`GENERAL TERMS OF USE`) + SET n += $properties + RETURN n + :result:{'entity_type': '"CONCEPT"', 'description': '"General Terms of Use details the overall framework and guidelines for using Project Gutenberg\'s works and services.""The General Terms of Use outlines regulations for using and distributing Project Gutenberg works.""The General Terms of Use outlines regulations for using and distributing Project Gutenberg works."', 'source_id': 'chunk-194cd9680f4967f48bea89678f7ece21'} +2024-10-30 05:40:50,179 - lightrag - INFO - get_node:query:MATCH (n:`ELECTRONIC WORKS`) RETURN n:result: +2024-10-30 05:40:50,315 - lightrag - INFO - _do_upsert:query: + MERGE (n:`ELECTRONIC WORKS`) + SET n += $properties + RETURN n + :result:{'entity_type': '"CONCEPT"', 'description': '"Electronic works refer to digital versions of literary texts that can be freely accessed and shared without restriction."', 'source_id': 'chunk-194cd9680f4967f48bea89678f7ece21'} +2024-10-30 05:40:50,454 - lightrag - INFO - get_node:query:MATCH (n:`TRADEMARK LICENSE`) RETURN n:result:"Trademark license describes the regulations for using the Project Gutenberg trademark and ensures its protection in distributions."', 'source_id': 'chunk-194cd9680f4967f48bea89678f7ece21'}> +2024-10-30 05:40:50,594 - lightrag - INFO - _do_upsert:query: + MERGE (n:`TRADEMARK LICENSE`) + SET n += $properties + RETURN n + :result:{'entity_type': '"CONCEPT"', 'description': '"The trademark license governs the usage of the Project Gutenberg trademark, ensuring its protection during distribution.""The trademark license governs the usage of the Project Gutenberg trademark, ensuring its protection during distribution.""Trademark license describes the regulations for using the Project Gutenberg trademark and ensures its protection in distributions."', 'source_id': 'chunk-194cd9680f4967f48bea89678f7ece21'} +2024-10-30 05:40:50,727 - lightrag - INFO - get_node:query:MATCH (n:`COPYRIGHT ROYALTIES`) RETURN n:result: +2024-10-30 05:40:50,865 - lightrag - INFO - _do_upsert:query: + MERGE (n:`COPYRIGHT ROYALTIES`) + SET n += $properties + RETURN n + :result:{'entity_type': '"CONCEPT"', 'description': '"Copyright royalties refer to the fees owed for the use of copyrighted material, which generally do not apply to works in the public domain."', 'source_id': 'chunk-194cd9680f4967f48bea89678f7ece21'} +2024-10-30 05:40:50,998 - lightrag - INFO - get_node:query:MATCH (n:`DERIVATIVE WORKS`) RETURN n:result:"Derivative works refer to adaptations or creations based on original texts, allowed under certain conditions set by Project Gutenberg."', 'source_id': 'chunk-194cd9680f4967f48bea89678f7ece21'}> +2024-10-30 05:40:51,134 - lightrag - INFO - _do_upsert:query: + MERGE (n:`DERIVATIVE WORKS`) + SET n += $properties + RETURN n + :result:{'entity_type': '"CONCEPT"', 'description': '"Derivative works are adaptations or modifications of original works that may be created and shared under specific conditions.""Derivative works are adaptations or modifications of original works that may be created and shared under specific conditions.""Derivative works refer to adaptations or creations based on original texts, allowed under certain conditions set by Project Gutenberg."', 'source_id': 'chunk-194cd9680f4967f48bea89678f7ece21'} +2024-10-30 05:40:51,274 - lightrag - INFO - get_node:query:MATCH (n:`NON-COPYRIGHTED WORKS`) RETURN n:result: +2024-10-30 05:40:51,411 - lightrag - INFO - _do_upsert:query: + MERGE (n:`NON-COPYRIGHTED WORKS`) + SET n += $properties + RETURN n + :result:{'entity_type': '"CONCEPT"', 'description': '"Non-copyrighted works refer to literary pieces that are not protected by copyright and can be freely used by anyone."', 'source_id': 'chunk-194cd9680f4967f48bea89678f7ece21'} +2024-10-30 05:40:51,552 - lightrag - INFO - get_node:query:MATCH (n:`PROJECT GUTENBERG LITERARY ARCHIVE FOUNDATION`) RETURN n:result:"The Project Gutenberg Literary Archive Foundation is a non-profit organization established to ensure the free distribution of electronic works and maintain the Project Gutenberg™ collection for future generations.""The Project Gutenberg Literary Archive Foundation manages the Project Gutenberg trademark and oversees rights and licensing for the organization.""The Project Gutenberg Literary Archive Foundation is a non-profit educational corporation dedicated to increasing the availability of public domain and licensed works in machine-readable format.""The Project Gutenberg Literary Archive Foundation is a non-profit institution established to secure the future of Project Gutenberg\'s activities and contributions.""The Project Gutenberg Literary Archive Foundation is the organization that manages the Project Gutenberg trademark and oversees royalty payments and other related activities."', 'source_id': 'chunk-af4ae173c561e4594c5aea96198cce9dchunk-85f77f5e3a9aba01133555a2d20e2fd8chunk-c51b3dc560b408cce12cdfe5c9c94f57'}> +2024-10-30 05:40:51,689 - lightrag - INFO - _do_upsert:query: + MERGE (n:`PROJECT GUTENBERG LITERARY ARCHIVE FOUNDATION`) + SET n += $properties + RETURN n + :result:{'entity_type': '"ORGANIZATION"', 'description': '"The Project Gutenberg Literary Archive Foundation is a 501(c)(3) non-profit educational corporation dedicated to increasing access to public domain and licensed works that can be freely distributed in machine-readable form.""The Project Gutenberg Literary Archive Foundation is a non-profit organization established to ensure the free distribution of electronic works and maintain the Project Gutenberg™ collection for future generations.""The Project Gutenberg Literary Archive Foundation manages the Project Gutenberg trademark and oversees rights and licensing for the organization.""The Project Gutenberg Literary Archive Foundation is a non-profit educational corporation dedicated to increasing the availability of public domain and licensed works in machine-readable format.""The Project Gutenberg Literary Archive Foundation is a non-profit institution established to secure the future of Project Gutenberg\'s activities and contributions.""The Project Gutenberg Literary Archive Foundation is the organization that manages the Project Gutenberg trademark and oversees royalty payments and other related activities.""The Project Gutenberg Literary Archive Foundation is a non-profit educational corporation dedicated to increasing the availability of public domain and licensed works in machine-readable format.""The Project Gutenberg Literary Archive Foundation is a non-profit institution established to secure the future of Project Gutenberg\'s activities and contributions.""The Project Gutenberg Literary Archive Foundation is the organization that manages the Project Gutenberg trademark and oversees royalty payments and other related activities."', 'source_id': 'chunk-c51b3dc560b408cce12cdfe5c9c94f57chunk-85f77f5e3a9aba01133555a2d20e2fd8chunk-af4ae173c561e4594c5aea96198cce9d'} +2024-10-30 05:40:51,826 - lightrag - INFO - get_node:query:MATCH (n:`U.S. COPYRIGHT LAW`) RETURN n:result:"U.S. Copyright Law is the legal framework that Project Gutenberg navigates in its efforts to provide access to electronic works, ensuring compliance with copyright protections.""U.S. Copyright Law refers to the legal framework governing copyright protection in the United States, which impacts the distribution and usage of literary works and other creative content.""U.S. copyright law governs the protection of intellectual property in the United States, impacting how works can be distributed through Project Gutenberg™."', 'source_id': 'chunk-af4ae173c561e4594c5aea96198cce9dchunk-c51b3dc560b408cce12cdfe5c9c94f57'}> +2024-10-30 05:40:51,966 - lightrag - INFO - _do_upsert:query: + MERGE (n:`U.S. COPYRIGHT LAW`) + SET n += $properties + RETURN n + :result:{'entity_type': '"CONCEPT"', 'description': '"U.S. Copyright Law governs the usage, distribution, and copyright status of literary works in the United States, affecting how Project Gutenberg operates.""U.S. Copyright Law governs the usage, distribution, and copyright status of literary works in the United States, affecting how Project Gutenberg operates.""U.S. Copyright Law is the legal framework that Project Gutenberg navigates in its efforts to provide access to electronic works, ensuring compliance with copyright protections.""U.S. Copyright Law refers to the legal framework governing copyright protection in the United States, which impacts the distribution and usage of literary works and other creative content.""U.S. copyright law governs the protection of intellectual property in the United States, impacting how works can be distributed through Project Gutenberg™.""U.S. Copyright Law is the legal framework that Project Gutenberg navigates in its efforts to provide access to electronic works, ensuring compliance with copyright protections."', 'source_id': 'chunk-c51b3dc560b408cce12cdfe5c9c94f57chunk-af4ae173c561e4594c5aea96198cce9d'} +2024-10-30 05:40:52,101 - lightrag - INFO - get_node:query:MATCH (n:`EBOOK`) RETURN n:result: +2024-10-30 05:40:52,238 - lightrag - INFO - _do_upsert:query: + MERGE (n:`EBOOK`) + SET n += $properties + RETURN n + :result:{'entity_type': '"EVENT"', 'description': '"An eBook refers to an electronic version of a book that can be accessed, displayed, or distributed according to the licensing terms of Project Gutenberg."', 'source_id': 'chunk-af4ae173c561e4594c5aea96198cce9d'} +2024-10-30 05:40:52,375 - lightrag - INFO - get_node:query:MATCH (n:`UNITED STATES`) RETURN n:result:"The United States is the primary geographic location referenced in the context of copyright laws and distribution terms for Project Gutenberg\'s eBooks."', 'source_id': 'chunk-194cd9680f4967f48bea89678f7ece21chunk-af4ae173c561e4594c5aea96198cce9d'}> +2024-10-30 05:40:52,513 - lightrag - INFO - _do_upsert:query: + MERGE (n:`UNITED STATES`) + SET n += $properties + RETURN n + :result:{'entity_type': '"GEO"', 'description': '"The United States is a geographical location with specific copyright laws affecting the distribution of electronic works.""The United States is the primary geographic location referenced in the context of copyright laws and distribution terms for Project Gutenberg\'s eBooks.""The United States is the primary geographic location referenced in the context of copyright laws and distribution terms for Project Gutenberg\'s eBooks."', 'source_id': 'chunk-af4ae173c561e4594c5aea96198cce9dchunk-194cd9680f4967f48bea89678f7ece21'} +2024-10-30 05:40:52,648 - lightrag - INFO - get_node:query:MATCH (n:`ROYALTY PAYMENTS`) RETURN n:result: +2024-10-30 05:40:52,783 - lightrag - INFO - _do_upsert:query: + MERGE (n:`ROYALTY PAYMENTS`) + SET n += $properties + RETURN n + :result:{'entity_type': '"EVENT"', 'description': '"Royalty Payments refer to the financial compensations required by Project Gutenberg to be paid to the trademark owner based on gross profits derived from certain uses of their works."', 'source_id': 'chunk-af4ae173c561e4594c5aea96198cce9d'} +2024-10-30 05:40:52,913 - lightrag - INFO - get_node:query:MATCH (n:`COPYRIGHT HOLDER`) RETURN n:result: +2024-10-30 05:40:53,047 - lightrag - INFO - _do_upsert:query: + MERGE (n:`COPYRIGHT HOLDER`) + SET n += $properties + RETURN n + :result:{'entity_type': '"PERSON"', 'description': '"A Copyright Holder is an individual or entity that owns the rights to a work, which may allow them to grant permission for its use according to the rules outlined by Project Gutenberg."', 'source_id': 'chunk-af4ae173c561e4594c5aea96198cce9d'} +2024-10-30 05:40:53,180 - lightrag - INFO - get_node:query:MATCH (n:`PARAGRAPHS 1.E.1 THROUGH 1.E.9`) RETURN n:result: +2024-10-30 05:40:53,317 - lightrag - INFO - _do_upsert:query: + MERGE (n:`PARAGRAPHS 1.E.1 THROUGH 1.E.9`) + SET n += $properties + RETURN n + :result:{'entity_type': '"EVENT"', 'description': '"Paragraphs 1.E.1 through 1.E.9 detail the specific requirements and conditions established by Project Gutenberg for the use and distribution of its works."', 'source_id': 'chunk-af4ae173c561e4594c5aea96198cce9d'} +2024-10-30 05:40:53,453 - lightrag - INFO - get_node:query:MATCH (n:`PLAIN VANILLA ASCII`) RETURN n:result: +2024-10-30 05:40:53,591 - lightrag - INFO - _do_upsert:query: + MERGE (n:`PLAIN VANILLA ASCII`) + SET n += $properties + RETURN n + :result:{'entity_type': '"TECHNOLOGY"', 'description': '"Plain Vanilla ASCII is a basic text format that Project Gutenberg uses for its electronic works, ensuring accessibility and compatibility with various systems."', 'source_id': 'chunk-af4ae173c561e4594c5aea96198cce9d'} +2024-10-30 05:40:53,727 - 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lightrag - INFO - _do_upsert:query: + MERGE (n:`MRS. CRATCHIT`) + SET n += $properties + RETURN n + :result:{'entity_type': '"PERSON"', 'description': "Mrs. Cratchit is depicted as Bob Cratchit's supportive and industrious wife, embodying warmth and resilience amidst their financial struggles. She plays a central role in managing the household and preparing festive meals, notably the Christmas pudding, showcasing her pride in family traditions and her cooking skills. Despite feeling strong disdain for Scrooge, she passionately engages in the Christmas festivities for the sake of her family, reflecting her nurturing nature and concern for her children's well-being, particularly in regard to Tiny Tim's health. Throughout the holiday preparations, Mrs. Cratchit displays her devotion and care, striving to create a joyous atmosphere despite their limited resources. 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It serves as both a supernatural and emotional guide, encouraging Scrooge to witness joyful moments and the resilience of people during Christmas, thus profoundly influencing his perspective on life.\n\nThe Spirit is associated with the Ghost of Christmas Present and the Ghost of Christmas Past, symbolizing the ideas of reflection, memory, and moral guidance. It prompts Scrooge to engage deeply with his past, urging him to recognize the consequences of his actions and the significance of compassion and community in life. Furthermore, The Spirit acts as a guiding force that helps Scrooge understand the value of happiness and the importance of generosity, particularly during the festive season.\n\nThroughout the narrative, The Spirit\'s presence significantly alters the mood of Christmas, promoting an atmosphere of cheer and mirth as it guides Scrooge through various scenarios. It invokes critical reflections on existential queries, ultimately playing a vital role in Scrooge\'s transformation, pushing him towards meaningful change and a re-evaluation of his life choices. 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He is depicted as a struggling yet loving family man, whose household is blessed by the Spirit of Christmas. Despite his low wages, Cratchit exhibits warmth and joy at home, particularly during the Christmas season, where he strives to maintain a positive atmosphere amidst financial hardships.\n\nAs the father of Tiny Tim and head of the Cratchit family, Bob exemplifies deep familial love and concern. He is characterized by his kindness and emotional depth, showing dedication to caring for his children and addressing Tiny Tim\'s well-being. Bob is a mild-mannered character who expresses happiness and appreciation during family celebrations, capturing the essence of duty and love.\n\nCratchit\'s arrival late to work after Christmas highlights his trepidation toward Scrooge, yet it also reflects Scrooge\'s newfound generosity towards him. This generosity serves as a stark contrast to Cratchit\'s warm and positive demeanor, which remains consistent despite his challenges. The Cratchit household is filled with a warm atmosphere, where Cratchit\'s joy during their Christmas dinner stands in contrast to Scrooge\'s initial miserly attitude.\n\nIn summary, Bob Cratchit is not only a devoted father and husband but also a representation of resilience, hope, and the importance of family. He embodies the spirit of joy amidst adversity, making him a compelling and heartwarming character within the narrative of "A Christmas Carol."', 'source_id': 'chunk-94bea83e7153fc2064aa382b494936a1chunk-83ac129dc9b56f84c46760d153d68e93chunk-91572b3cd42786ba4cb2f180ca25cbf4chunk-9e3921da66da5d761ab73cd849af6c43chunk-503f0bfa5453467c7c61d160a3540ecachunk-19d72c57ae3408758b18d2568e86dc6bchunk-1d4b58de5429cd1261370c231c8673e8chunk-b0f459f5af1c3a5e0b92cbe4ee48b77bchunk-d9aac3484185ac66045df92214d245d5chunk-90b95db5c53e4364a6bee36b7aa4d70fchunk-7e2e7ebcc19a53b399dc03aded4743e7'} +2024-10-30 05:41:05,548 - lightrag - INFO - _do_upsert:query: + MERGE (n:`THE GHOST`) + SET n += $properties + RETURN n + :result:{'entity_type': '"EVENT"', 'description': '"The Ghost" refers to a spectral manifestation of Jacob Marley, who appears to communicate a crucial message to Ebenezer Scrooge regarding the spiritual consequences of his life choices. This supernatural entity serves multiple roles, including guiding Scrooge through reflections on his past and evoking feelings of realization and remorse about his behavior. The Ghost represents a crucial figure in Scrooge\'s journey toward redemption, highlighting the importance of human virtue and kindness, and warning him about the dire repercussions of neglecting these values throughout his life.\n\nDescribed as a strange figure possessing qualities both of a child and an old man, The Ghost embodies the supernatural intervention in Scrooge\'s life. It facilitates his transformation by revealing lessons about kindness, death, and the emotional repercussions of one’s actions. The Ghost shows Scrooge various scenes from his past and the joys of family, emphasizing the significance of Christmas and serving as a catalyst for self-reflection.\n\nAdditionally, The Ghost instills a sense of dread in Scrooge while symbolizing the theme of redemption. This spectral figure conveys an important message regarding the impending visits from three spirits and helps Scrooge confront and come to terms with his past. Overall, The Ghost encapsulates themes of change, redemption, and moral lessons, acting as a guiding presence that ultimately influences Scrooge\'s emotional state and paves the way for his ultimate redemption.', 'source_id': 'chunk-1aa50206d02ed89418f65f97c6441d1cchunk-83ac129dc9b56f84c46760d153d68e93chunk-cb661c37436355ccec2769b1d0350c5fchunk-9c43dac2fcd5b578242d907ea6f8fc7bchunk-c6c248858d1b13ab7ee9ca13c1aeed6bchunk-02baee20cc9463dbe08170a8e1043e32chunk-da2472b4ef2a535b62908f14d0fb0ca9chunk-54bdd22db1f84a965b5f4c06c9216d8dchunk-c7b10789a9cb0af6c553730b29bd9034chunk-359187e7571bda4b0b08b2e0b6581e52chunk-43c9bee23adfa77aa9dedd22401bba7dchunk-8590d9263cd2cd4fa583c432fc54e6c3chunk-e7637ff18c5ded77a68cce0a87883fad'} +2024-10-30 05:41:05,729 - lightrag - INFO - _do_upsert:query: + MERGE (n:`TINY TIM`) + SET n += $properties + RETURN n + :result:{'entity_type': '"PERSON"', 'description': 'Tiny Tim, whose full name is Tim Cratchit, is a significant character in Charles Dickens\' "A Christmas Carol," serving as the youngest son of Bob Cratchit. He is depicted as a frail child who embodies innocence, vulnerability, and hope, symbolizing resilience in the face of adversity. Despite his struggles with health—characterized by being a cripple—Tiny Tim maintains a joyful spirit and a positive attitude that brings joy to those around him.\n\nTiny Tim\'s character plays multiple essential roles within the narrative. He serves as a poignant reminder of the harsh realities of illness and poverty experienced by the Cratchit family, highlighting their struggles and evoking compassion from others, including Ebenezer Scrooge. His well-being is central to the family\'s emotional state, embodying their hopes for the future and the love that binds them together. Tiny Tim\'s presence is particularly impactful for Scrooge, illustrating how transformation and generosity can influence lives profoundly.\n\nIn addition to his role within the Cratchit family, Tiny Tim participates in festive celebrations, such as the Christmas toast, but remains acutely aware of his family\'s hardships. Cherished by his family, especially by his father, Bob Cratchit, Tiny Tim is often a focal point of love and concern, reinforcing the themes of family and togetherness. He represents innocence and goodness, leaving a lasting impression on both the characters within the story and the readers, ultimately embodying the spirit of Christmas and the possibility of hope and renewal.', 'source_id': 'chunk-94bea83e7153fc2064aa382b494936a1chunk-83ac129dc9b56f84c46760d153d68e93chunk-91572b3cd42786ba4cb2f180ca25cbf4chunk-9e3921da66da5d761ab73cd849af6c43chunk-19d72c57ae3408758b18d2568e86dc6bchunk-503f0bfa5453467c7c61d160a3540ecachunk-1d4b58de5429cd1261370c231c8673e8chunk-90b95db5c53e4364a6bee36b7aa4d70fchunk-7e2e7ebcc19a53b399dc03aded4743e7chunk-8f738cb25d60a7dab782162d9d0a25ed'} +2024-10-30 05:41:05,921 - lightrag - INFO - _do_upsert:query: + MERGE (n:`CHRISTMAS`) + SET n += $properties + RETURN n + :result:{'entity_type': '"EVENT"', 'description': 'Christmas is a significant and festive season that embodies themes of joy, love, generosity, and community, playing a crucial role in the narrative, particularly through the experiences of the Cratchit family and the character of Ebenezer Scrooge. It is depicted as a time for family togetherness, celebration, and emotional reflection. During this holiday, the Cratchit family experiences warmth, gratitude, and merriment, creating cherished memories despite their modest circumstances.\n\nIn stark contrast, Scrooge initially approaches Christmas with cynicism, dismissively referring to it as a "humbug" and rejecting the joy and goodwill that the season represents. His cold demeanor and disdain for the holiday stand in stark opposition to the spirit of generosity and community that prevails around him. Throughout the story, Christmas serves as the backdrop for Scrooge’s transformation, forcing him to confront his past and the relationships he has neglected, which becomes a critical aspect of his character development.\n\nThe narrative highlights Christmas as a time of joy and giving, emphasizing the importance of social responsibility and emotional connections within a community. It showcases joyful scenes of people celebrating, dancing, and engaging in festive activities, which starkly contrast with Scrooge\'s earlier solitude and disdain. By the end, Christmas symbolizes redemption and transformation for Scrooge, as he ultimately decides to embrace the holiday\'s spirit of goodwill, leaving behind his previous bitterness. Consequently, Christmas emerges as a pivotal element that reinforces the story\'s exploration of redemption, generosity, and the transformative power of love and community.', 'source_id': 'chunk-94bea83e7153fc2064aa382b494936a1chunk-74e2466de2f67fd710ef2f20c0a8d9e0chunk-90d5764e301321c087f5a8f78b73a145chunk-89777b838d5447c7bd1ec11282c4ee89chunk-da2472b4ef2a535b62908f14d0fb0ca9chunk-8590d9263cd2cd4fa583c432fc54e6c3chunk-e7637ff18c5ded77a68cce0a87883fadchunk-91614df5cb74cbe5e109a338a82041e9chunk-43c9bee23adfa77aa9dedd22401bba7dchunk-02baee20cc9463dbe08170a8e1043e32chunk-773d0df1dd25c356f7b771d780583e09chunk-5dac41b3f9eeaf794f0147400b1718cdchunk-503f0bfa5453467c7c61d160a3540ecachunk-91572b3cd42786ba4cb2f180ca25cbf4chunk-99b0ec7f7e006561352b5d65e849611dchunk-1d4b58de5429cd1261370c231c8673e8chunk-c6c248858d1b13ab7ee9ca13c1aeed6bchunk-54bdd22db1f84a965b5f4c06c9216d8dchunk-8f738cb25d60a7dab782162d9d0a25ed'} +2024-10-30 05:41:06,945 - lightrag - INFO - _do_upsert:query: + MERGE (n:`SCROOGE`) + SET n += $properties + RETURN n + :result:{'entity_type': '"PERSON"', 'description': "Scrooge is a central character in the narrative who undergoes a profound transformation, highlighted by his emotional turmoil and reflective journey. Initially depicted as a miserly, cold-hearted individual characterized by greed and a disdain for Christmas, Scrooge embodies the traits of a solitary figure, often referred to negatively as the “Ogre of the family” or a “tight-fisted old man.” His lack of compassion for others and reluctance to engage in charitable acts create a stark contrast to the growth he eventually experiences.\n\nThe turning point in Scrooge's journey begins with a haunting visit from the ghost of his former business partner, Jacob Marley, who warns him of the dire consequences of his actions. This encounter sets off a series of supernatural visits from three spirits that guide Scrooge through his past, present, and future. Through these reflections, Scrooge experiences horror, agitation, and regret as he contemplates the implications of his miserliness, recalling lonely moments from his childhood and decisions that fostered his pessimistic outlook on life.\n\nAs he interacts with the spirits, Scrooge witnesses both joy and hardship, particularly in relation to the Cratchit family and Tiny Tim, which ignites feelings of grief and a longing for connection. This emotional journey leads him to recognize his mortality and the impact of his life choices on others, sparking an internal struggle between his prior skepticism and a burgeoning capacity for empathy.\n\nBy the conclusion of the story, Scrooge has experienced a significant transformation. Emerging from his encounters with a newfound sense of joy and a commitment to kindness, he embraces the spirit of Christmas, striving to positively influence the lives of those around him, especially Bob Cratchit and his family. Scrooge’s evolution from a grumpy, indifferent man to one filled with goodwill encapsulates the narrative's themes of redemption, compassion, and the importance of community, demonstrating that change is possible and that love and generosity can triumph over isolation and greed.", 'source_id': 'chunk-94bea83e7153fc2064aa382b494936a1chunk-19d72c57ae3408758b18d2568e86dc6bchunk-d9aac3484185ac66045df92214d245d5chunk-b0f459f5af1c3a5e0b92cbe4ee48b77bchunk-74e2466de2f67fd710ef2f20c0a8d9e0chunk-90d5764e301321c087f5a8f78b73a145chunk-89777b838d5447c7bd1ec11282c4ee89chunk-da2472b4ef2a535b62908f14d0fb0ca9chunk-8590d9263cd2cd4fa583c432fc54e6c3chunk-e7637ff18c5ded77a68cce0a87883fadchunk-9c43dac2fcd5b578242d907ea6f8fc7bchunk-e1f29eeadc1d8ab46dc8a0bbd3c56b64chunk-91614df5cb74cbe5e109a338a82041e9chunk-90b95db5c53e4364a6bee36b7aa4d70fchunk-1aa50206d02ed89418f65f97c6441d1cchunk-43c9bee23adfa77aa9dedd22401bba7dchunk-02baee20cc9463dbe08170a8e1043e32chunk-f1a4fbcf1ed86864b9bfd5e8dba4c683chunk-773d0df1dd25c356f7b771d780583e09chunk-5dac41b3f9eeaf794f0147400b1718cdchunk-503f0bfa5453467c7c61d160a3540ecachunk-91572b3cd42786ba4cb2f180ca25cbf4chunk-cb661c37436355ccec2769b1d0350c5fchunk-b2f98bc7abb0c67d4c86055c7fd72218chunk-359187e7571bda4b0b08b2e0b6581e52chunk-99b0ec7f7e006561352b5d65e849611dchunk-8f738cb25d60a7dab782162d9d0a25edchunk-843b5b2f944c7413d9ca876e2e2f151fchunk-83ac129dc9b56f84c46760d153d68e93chunk-c6c248858d1b13ab7ee9ca13c1aeed6bchunk-54bdd22db1f84a965b5f4c06c9216d8dchunk-c7b10789a9cb0af6c553730b29bd9034chunk-bb21d58d36c6306fd8810ddd51c4a971'} +2024-10-30 05:41:07,153 - lightrag - INFO - _check_edge_existence:query:MATCH (a:`A CHRISTMAS CAROL`)-[r]-(b:`PROJECT GUTENBERG`) RETURN COUNT(r) > 0 AS edgeExists:result:True +2024-10-30 05:41:07,295 - lightrag - INFO - get_edge:query: + MATCH (source:`A CHRISTMAS CAROL`)-[r]-(target:`PROJECT GUTENBERG`) + RETURN r + :result:, ) type='DIRECTED' properties={'keywords': '"publication, accessibility"', 'description': '"A Christmas Carol is published and distributed freely through Project Gutenberg, making it accessible to a global audience."', 'weight': 9.0, 'source_id': 'chunk-9e3921da66da5d761ab73cd849af6c43'}> +2024-10-30 05:41:07,449 - lightrag - INFO - _check_edge_existence:query:MATCH (a:`A CHRISTMAS CAROL`)-[r]-(b:`CHARLES DICKENS`) RETURN COUNT(r) > 0 AS edgeExists:result:True +2024-10-30 05:41:07,594 - lightrag - INFO - get_edge:query: + MATCH (source:`A CHRISTMAS CAROL`)-[r]-(target:`CHARLES DICKENS`) + RETURN r + :result:, ) type='DIRECTED' properties={'keywords': '"author, literary impact"', 'description': '"Charles Dickens authored A Christmas Carol, which reflects his views on Victorian society and social issues."', 'weight': 10.0, 'source_id': 'chunk-9e3921da66da5d761ab73cd849af6c43'}> +2024-10-30 05:41:07,742 - lightrag - INFO - _check_edge_existence:query:MATCH (a:`A CHRISTMAS CAROL`)-[r]-(b:`ARTHUR RACKHAM`) RETURN COUNT(r) > 0 AS edgeExists:result:True +2024-10-30 05:41:07,886 - lightrag - INFO - get_edge:query: + MATCH (source:`A CHRISTMAS CAROL`)-[r]-(target:`ARTHUR RACKHAM`) + RETURN r + :result:, ) type='DIRECTED' properties={'keywords': '"illustration, artistic contribution"', 'description': '"Arthur Rackham illustrated A Christmas Carol, enhancing the visual experience of Dickens\' narrative."', 'weight': 8.0, 'source_id': 'chunk-9e3921da66da5d761ab73cd849af6c43'}> +2024-10-30 05:41:08,036 - lightrag - INFO - _check_edge_existence:query:MATCH (a:`BOB CRATCHIT`)-[r]-(b:`EBENEZER SCROOGE`) RETURN COUNT(r) > 0 AS edgeExists:result:True +2024-10-30 05:41:08,176 - lightrag - INFO - get_edge:query: + MATCH (source:`BOB CRATCHIT`)-[r]-(target:`EBENEZER SCROOGE`) + RETURN r + :result:, ) type='DIRECTED' properties={'keywords': '"workplace dynamics, social contrast"', 'description': '"Bob Cratchit works for Ebenezer Scrooge, embodying the struggles of the working class in contrast to Scrooge\'s miserliness."', 'weight': 7.0, 'source_id': 'chunk-9e3921da66da5d761ab73cd849af6c43'}> +2024-10-30 05:41:08,323 - lightrag - INFO - _check_edge_existence:query:MATCH (a:`BOB CRATCHIT`)-[r]-(b:`TINY TIM`) RETURN COUNT(r) > 0 AS edgeExists:result:True +2024-10-30 05:41:08,464 - lightrag - INFO - get_edge:query: + MATCH (source:`BOB CRATCHIT`)-[r]-(target:`TINY TIM`) + RETURN r + :result:, ) type='DIRECTED' properties={'keywords': '"family bond, care""family bond, love""family love, vulnerability""family, struggle""family, support""father-son bond, care"', 'description': '"Bob Cratchit deeply cares for Tiny Tim, demonstrating emotional support and love, especially in moments of distress.""Bob Cratchit expresses love and concern for his son Tiny Tim during the Christmas dinner, highlighting a strong familial bond.""Bob Cratchit is Tiny Tim\'s father, and the turkey Scrooge plans to send will impact Tiny Tim\'s well-being.""Bob Cratchit is Tiny Tim\'s father, and their relationship highlights the theme of family struggle and love, especially during Christmas.""Bob Cratchit shows deep care for Tiny Tim, helping him and expressing pride in his strength and character despite challenges.""Bob Cratchit\'s concern for Tiny Tim illustrates the deep familial love and the challenges facing the Cratchit family."', 'weight': 48.0, 'source_id': 'chunk-83ac129dc9b56f84c46760d153d68e93chunk-503f0bfa5453467c7c61d160a3540ecachunk-1d4b58de5429cd1261370c231c8673e8chunk-90b95db5c53e4364a6bee36b7aa4d70fchunk-94bea83e7153fc2064aa382b494936a1chunk-7e2e7ebcc19a53b399dc03aded4743e7'}> +2024-10-30 05:41:08,613 - lightrag - INFO - _check_edge_existence:query:MATCH (a:`EBENEZER SCROOGE`)-[r]-(b:`MR. FEZZIWIG`) RETURN COUNT(r) > 0 AS edgeExists:result:True +2024-10-30 05:41:08,754 - lightrag - INFO - get_edge:query: + MATCH (source:`EBENEZER SCROOGE`)-[r]-(target:`MR. FEZZIWIG`) + RETURN r + :result:, ) type='DIRECTED' properties={'keywords': '"contrast, influence"', 'description': '"Mr. Fezziwig represents a contrast to Ebenezer Scrooge\'s character, showing kindness and generosity in business."', 'weight': 7.0, 'source_id': 'chunk-9e3921da66da5d761ab73cd849af6c43'}> +2024-10-30 05:41:08,901 - lightrag - INFO - _check_edge_existence:query:MATCH (a:`GHOST OF CHRISTMAS PAST`)-[r]-(b:`SCROOGE`) RETURN COUNT(r) > 0 AS edgeExists:result:True +2024-10-30 05:41:09,042 - lightrag - INFO - get_edge:query: + MATCH (source:`GHOST OF CHRISTMAS PAST`)-[r]-(target:`SCROOGE`) + RETURN r + :result:, ) type='DIRECTED' properties={'keywords': '"reflection, past influence"', 'description': '"Scrooge engages with the Ghost of Christmas Past to explore his earlier life, seeking insight into his current state."', 'weight': 8.0, 'source_id': 'chunk-bb21d58d36c6306fd8810ddd51c4a971'}> +2024-10-30 05:41:09,189 - lightrag - INFO - _check_edge_existence:query:MATCH (a:`GHOST OF CHRISTMAS PRESENT`)-[r]-(b:`SCROOGE`) RETURN COUNT(r) > 0 AS edgeExists:result:True +2024-10-30 05:41:09,328 - lightrag - INFO - get_edge:query: + MATCH (source:`GHOST OF CHRISTMAS PRESENT`)-[r]-(target:`SCROOGE`) + RETURN r + :result:, ) type='DIRECTED' properties={'keywords': '"transformation, mentoring"', 'description': '"Scrooge is led by the Ghost of Christmas Present, who teaches him valuable lessons about generosity and compassion."', 'weight': 10.0, 'source_id': 'chunk-843b5b2f944c7413d9ca876e2e2f151f'}> +2024-10-30 05:41:09,478 - lightrag - INFO - _check_edge_existence:query:MATCH (a:`GHOST OF CHRISTMAS YET TO COME`)-[r]-(b:`SCROOGE`) RETURN COUNT(r) > 0 AS edgeExists:result:True +2024-10-30 05:41:09,619 - lightrag - INFO - get_edge:query: + MATCH (source:`GHOST OF CHRISTMAS YET TO COME`)-[r]-(target:`SCROOGE`) + RETURN r + :result:, ) type='DIRECTED' properties={'keywords': '"forewarning, change""future consequences, redemption"', 'description': '"The Ghost of Christmas Yet to Come presents a foreboding vision of Scrooge\'s future, driving home the need for personal change.""The Ghost shows Scrooge visions of the future, challenging him to change his ways to avoid a grim destiny."', 'weight': 19.0, 'source_id': 'chunk-02baee20cc9463dbe08170a8e1043e32chunk-9e3921da66da5d761ab73cd849af6c43'}> +2024-10-30 05:41:09,765 - lightrag - INFO - _check_edge_existence:query:MATCH (a:`FRED`)-[r]-(b:`SCROOGE`) RETURN COUNT(r) > 0 AS edgeExists:result:True +2024-10-30 05:41:09,906 - lightrag - INFO - get_edge:query: + MATCH (source:`FRED`)-[r]-(target:`SCROOGE`) + RETURN r + :result:, ) type='DIRECTED' properties={'keywords': '"family connection, goodwill""family connection, reconciliation""family, transformation""rejection, familial dynamics"', 'description': '"Scrooge and Fred share a familial bond, with Fred expressing goodwill and celebrating Scrooge despite his uncle\'s previous behavior.""Scrooge expresses a desire to visit Fred, which signifies a reconciliatory gesture toward his family.""Scrooge surprises Fred with his unexpected visit, indicating a shift in their familial relationship and Scrooge\'s attitude toward family.""Scrooge\'s interaction with Fred emphasizes his rejection of familial warmth during the Christmas season."', 'weight': 30.0, 'source_id': 'chunk-8f738cb25d60a7dab782162d9d0a25edchunk-94bea83e7153fc2064aa382b494936a1chunk-89777b838d5447c7bd1ec11282c4ee89chunk-e7637ff18c5ded77a68cce0a87883fad'}> +2024-10-30 05:41:10,051 - lightrag - INFO - _check_edge_existence:query:MATCH (a:`FRED`)-[r]-(b:`GHOST OF CHRISTMAS PRESENT`) RETURN COUNT(r) > 0 AS edgeExists:result:True +2024-10-30 05:41:10,190 - lightrag - INFO - get_edge:query: + MATCH (source:`FRED`)-[r]-(target:`GHOST OF CHRISTMAS PRESENT`) + RETURN r + :result:, ) type='DIRECTED' properties={'keywords': '"celebration, Christmas spirit"', 'description': '"Fred is celebrated by the Ghost of Christmas Present as a symbol of Christmas spirit, highlighting the contrast with Scrooge."', 'weight': 8.0, 'source_id': 'chunk-9e3921da66da5d761ab73cd849af6c43'}> +2024-10-30 05:41:10,335 - lightrag - INFO - _check_edge_existence:query:MATCH (a:`BOB CRATCHIT`)-[r]-(b:`MRS. CRATCHIT`) RETURN COUNT(r) > 0 AS edgeExists:result:True +2024-10-30 05:41:10,477 - lightrag - INFO - get_edge:query: + MATCH (source:`BOB CRATCHIT`)-[r]-(target:`MRS. CRATCHIT`) + RETURN r + :result:, ) type='DIRECTED' properties={'keywords': '"family unity, celebration""partnership, family unity"', 'description': '"Bob and Mrs. Cratchit represent a family working together to create a festive and warm environment despite their limited means.""Mrs. Cratchit supports Bob Cratchit in his parenting efforts and encourages the family’s unity during challenging times."', 'weight': 16.0, 'source_id': 'chunk-1d4b58de5429cd1261370c231c8673e8chunk-b0f459f5af1c3a5e0b92cbe4ee48b77b'}> +2024-10-30 05:41:10,621 - lightrag - INFO - _check_edge_existence:query:MATCH (a:`GHOST OF CHRISTMAS PRESENT`)-[r]-(b:`TINY TIM`) RETURN COUNT(r) > 0 AS edgeExists:result:True +2024-10-30 05:41:10,759 - lightrag - INFO - get_edge:query: + MATCH (source:`GHOST OF CHRISTMAS PRESENT`)-[r]-(target:`TINY TIM`) + RETURN r + :result:, ) type='DIRECTED' properties={'keywords': '"compassion, family"', 'description': '"The Ghost of Christmas Present reveals Tiny Tim’s struggles and optimism, emphasizing themes of compassion and family."', 'weight': 9.0, 'source_id': 'chunk-9e3921da66da5d761ab73cd849af6c43'}> +2024-10-30 05:41:10,907 - lightrag - INFO - _check_edge_existence:query:MATCH (a:`BOB CRATCHIT`)-[r]-(b:`MARTHA CRATCHIT`) RETURN COUNT(r) > 0 AS edgeExists:result:True +2024-10-30 05:41:11,050 - lightrag - INFO - get_edge:query: + MATCH (source:`BOB CRATCHIT`)-[r]-(target:`MARTHA CRATCHIT`) + RETURN r + :result:, ) type='DIRECTED' properties={'keywords': '"family bond, affection"', 'description': '"Martha shows affection for Bob Cratchit upon her arrival, indicating a warm father-daughter relationship within the family."', 'weight': 7.0, 'source_id': 'chunk-7e2e7ebcc19a53b399dc03aded4743e7'}> +2024-10-30 05:41:11,195 - lightrag - INFO - _check_edge_existence:query:MATCH (a:`MR. FEZZIWIG`)-[r]-(b:`SCROOGE`) RETURN COUNT(r) > 0 AS edgeExists:result:True +2024-10-30 05:41:11,335 - lightrag - INFO - get_edge:query: + MATCH (source:`MR. FEZZIWIG`)-[r]-(target:`SCROOGE`) + RETURN r + :result:, ) type='DIRECTED' properties={'keywords': '"kindness, influence"', 'description': '"Mr. Fezziwig\'s kindness towards employees influences Scrooge\'s eventual change in attitude toward generosity and business."', 'weight': 8.0, 'source_id': 'chunk-9e3921da66da5d761ab73cd849af6c43'}> +2024-10-30 05:41:11,478 - lightrag - INFO - _check_edge_existence:query:MATCH (a:`GHOST OF JACOB MARLEY`)-[r]-(b:`SCROOGE`) RETURN COUNT(r) > 0 AS edgeExists:result:True +2024-10-30 05:41:11,621 - lightrag - INFO - get_edge:query: + MATCH (source:`GHOST OF JACOB MARLEY`)-[r]-(target:`SCROOGE`) + RETURN r + :result:, ) type='DIRECTED' properties={'keywords': '"warning, transformation"', 'description': '"Jacob Marley appears to Scrooge as a warning and catalyst for his eventual transformation into a better person."', 'weight': 9.0, 'source_id': 'chunk-9e3921da66da5d761ab73cd849af6c43'}> +2024-10-30 05:41:11,769 - lightrag - INFO - _check_edge_existence:query:MATCH (a:`FAN`)-[r]-(b:`SCROOGE`) RETURN COUNT(r) > 0 AS edgeExists:result:True +2024-10-30 05:41:11,910 - lightrag - INFO - get_edge:query: + MATCH (source:`FAN`)-[r]-(target:`SCROOGE`) + RETURN r + :result:, ) type='DIRECTED' properties={'keywords': '"family, joy lost""sibling bond, nostalgia"', 'description': '"Fan\'s loving relationship with her brother Scrooge reflects the lost potential for joy in his life due to his choices.""Scrooge and Fan share a sibling bond, with Fan representing innocence and happiness from their childhood, which evokes fond memories for Scrooge."', 'weight': 14.0, 'source_id': 'chunk-c6c248858d1b13ab7ee9ca13c1aeed6bchunk-9e3921da66da5d761ab73cd849af6c43'}> +2024-10-30 05:41:12,052 - lightrag - INFO - _check_edge_existence:query:MATCH (a:`MR. FEZZIWIG`)-[r]-(b:`MRS. FEZZIWIG`) RETURN COUNT(r) > 0 AS edgeExists:result:True +2024-10-30 05:41:12,188 - lightrag - INFO - get_edge:query: + MATCH (source:`MR. FEZZIWIG`)-[r]-(target:`MRS. FEZZIWIG`) + RETURN r + :result:, ) type='DIRECTED' properties={'keywords': '"partnership, Christmas joy"', 'description': '"Mr. and Mrs. Fezziwig together create a joyful environment during Christmas, representing partnership and generosity."', 'weight': 8.0, 'source_id': 'chunk-9e3921da66da5d761ab73cd849af6c43'}> +2024-10-30 05:41:12,334 - lightrag - INFO - _check_edge_existence:query:MATCH (a:`FEZZIWIG`)-[r]-(b:`SCROOGE`) RETURN COUNT(r) > 0 AS edgeExists:result:True +2024-10-30 05:41:12,473 - lightrag - INFO - get_edge:query: + MATCH (source:`FEZZIWIG`)-[r]-(target:`SCROOGE`) + RETURN r + :result:, ) type='DIRECTED' properties={'keywords': '"kindness, mentorship""reflection, influence"', 'description': '"Scrooge reflects positively on Fezziwig\'s past actions, acknowledging the happiness and gratitude he inspired in people.""Scrooge reminisces about Fezziwig\'s kindness during his apprenticeship, comparing his past self to his current state."', 'weight': 16.0, 'source_id': 'chunk-b2f98bc7abb0c67d4c86055c7fd72218chunk-c6c248858d1b13ab7ee9ca13c1aeed6b'}> +2024-10-30 05:41:12,622 - lightrag - INFO - _check_edge_existence:query:MATCH (a:`MARLEY`)-[r]-(b:`SCROOGE`) RETURN COUNT(r) > 0 AS edgeExists:result:True +2024-10-30 05:41:12,794 - lightrag - INFO - get_edge:query: + MATCH (source:`MARLEY`)-[r]-(target:`SCROOGE`) + RETURN r + :result:, ) type='DIRECTED' properties={'keywords': '"mourning, partnership""past influence, personal history""redemption, confrontation""supernatural connection, past relationships"', 'description': '"Marley’s influence and past relationship with Scrooge is indicated, suggesting a connection that impacts Scrooge\'s character growth.""Scrooge is deeply affected by Marley\'s death, illustrated through his role as the sole executor and mourner of Marley.""Scrooge reflects on Marley, revealing his past connection and the haunting aspect of Marley\'s death, which influences Scrooge\'s character arc.""Scrooge\'s encounter with Marley’s Ghost serves as a confrontation with his past self and the life choices he regrets, depicting the theme of redemption."', 'weight': 32.0, 'source_id': 'chunk-d9aac3484185ac66045df92214d245d5chunk-843b5b2f944c7413d9ca876e2e2f151fchunk-89777b838d5447c7bd1ec11282c4ee89chunk-9c43dac2fcd5b578242d907ea6f8fc7b'}> +2024-10-30 05:41:12,943 - lightrag - INFO - _check_edge_existence:query:MATCH (a:`CHRISTMAS`)-[r]-(b:`SCROOGE`) RETURN COUNT(r) > 0 AS edgeExists:result:True +2024-10-30 05:41:13,078 - lightrag - INFO - get_edge:query: + MATCH (source:`CHRISTMAS`)-[r]-(target:`SCROOGE`) + RETURN r + :result:, ) type='DIRECTED' properties={'keywords': '"character development, festive spirit""conflict, holiday spirit""contrast, seasonal significance""disconnection, festive spirit""holiday significance, reflection""reflection, redemption""seasonal significance, emotional reflection""transformation, festive spirit""transformation, holiday significance""transformation, holiday spirit"', 'description': '"Christmas is a central theme that invokes Scrooge\'s memories of his past, his feelings of loneliness, and his desire to connect.""Christmas serves as a focal point for Scrooge\'s emotional reflections on joy and his disconnect from societal celebrations.""Christmas serves as the catalyst for Scrooge\'s transformation, highlighting themes of giving and compassion.""Scrooge expresses disdain for Christmas, viewing it as a burden rather than a celebration.""Scrooge\'s attitude towards Christmas highlights his disconnection from the festive spirit and charity associated with the holiday.""Scrooge\'s character contrasts sharply with the joy of Christmas, highlighting his disdain for the festive season.""Scrooge\'s experience during the Christmas event highlights the transformation of his character and the spirit of the holiday.""Scrooge\'s journey with the Spirit ultimately leads him to reflect on the meaning of Christmas and its impact on human connections.""Scrooge\'s transformation and newfound joy are directly linked to the spirit of Christmas.""Scrooge\'s transformation is centered around the spirit of Christmas, which he learns to embrace and celebrate.""Scrooge\'s views on Christmas evolve as he witnesses the joy and familial love associated with the holiday, marking a shift in his character."', 'weight': 95.0, 'source_id': 'chunk-91614df5cb74cbe5e109a338a82041e9chunk-8f738cb25d60a7dab782162d9d0a25edchunk-e7637ff18c5ded77a68cce0a87883fadchunk-8590d9263cd2cd4fa583c432fc54e6c3chunk-54bdd22db1f84a965b5f4c06c9216d8dchunk-90d5764e301321c087f5a8f78b73a145chunk-da2472b4ef2a535b62908f14d0fb0ca9chunk-94bea83e7153fc2064aa382b494936a1chunk-89777b838d5447c7bd1ec11282c4ee89chunk-99b0ec7f7e006561352b5d65e849611dchunk-74e2466de2f67fd710ef2f20c0a8d9e0'}> +2024-10-30 05:41:13,221 - lightrag - INFO - _check_edge_existence:query:MATCH (a:`SCROOGE`)-[r]-(b:`THE WAREHOUSE`) RETURN COUNT(r) > 0 AS edgeExists:result:True +2024-10-30 05:41:13,359 - lightrag - INFO - get_edge:query: + MATCH (source:`SCROOGE`)-[r]-(target:`THE WAREHOUSE`) + RETURN r + :result:, ) type='DIRECTED' properties={'keywords': '"memories, apprenticeship"', 'description': '"Scrooge\'s connection to the Warehouse emphasizes his memories of apprenticeship and his past experiences."', 'weight': 8.0, 'source_id': 'chunk-c6c248858d1b13ab7ee9ca13c1aeed6b'}> +2024-10-30 05:41:13,500 - lightrag - INFO - _check_edge_existence:query:MATCH (a:`JOE`)-[r]-(b:`THE WOMAN`) RETURN COUNT(r) > 0 AS edgeExists:result:True +2024-10-30 05:41:13,640 - lightrag - INFO - get_edge:query: + MATCH (source:`JOE`)-[r]-(target:`THE WOMAN`) + RETURN r + :result:, ) type='DIRECTED' properties={'keywords': '"dialogue, humor, death""humor, interaction"', 'description': '"Joe and The Woman engage in dialogue about the deceased\'s belongings, showcasing their interactions and differing attitudes towards death.""Joe and The Woman share a humorous exchange about the bed-curtains, reflecting the jovial spirit of the gathering."', 'weight': 12.0, 'source_id': 'chunk-89777b838d5447c7bd1ec11282c4ee89chunk-e1f29eeadc1d8ab46dc8a0bbd3c56b64'}> +2024-10-30 05:41:13,784 - lightrag - INFO - _check_edge_existence:query:MATCH (a:`SCROOGE`)-[r]-(b:`TIM`) RETURN COUNT(r) > 0 AS edgeExists:result:True +2024-10-30 05:41:13,922 - lightrag - INFO - get_edge:query: + MATCH (source:`SCROOGE`)-[r]-(target:`TIM`) + RETURN r + :result:, ) type='DIRECTED' properties={'keywords': '"familial connection, emotional depth"', 'description': '"Scrooge\'s connection to Tim emphasizes emotional depth, reflecting on family and lost connections as part of his character development."', 'weight': 8.0, 'source_id': 'chunk-89777b838d5447c7bd1ec11282c4ee89'}> +2024-10-30 05:41:14,065 - lightrag - INFO - _check_edge_existence:query:MATCH (a:`OLD SCROOGE`)-[r]-(b:`SCROOGE`) RETURN COUNT(r) > 0 AS edgeExists:result:True +2024-10-30 05:41:14,202 - lightrag - INFO - get_edge:query: + MATCH (source:`OLD SCROOGE`)-[r]-(target:`SCROOGE`) + RETURN r + :result:, ) type='DIRECTED' properties={'keywords': '"character history, development"', 'description': '"Scrooge\'s history is revealed through the mention of Old Scrooge, indicating his past beliefs and practices that shape his current persona."', 'weight': 7.0, 'source_id': 'chunk-89777b838d5447c7bd1ec11282c4ee89'}> +2024-10-30 05:41:14,344 - lightrag - INFO - _check_edge_existence:query:MATCH (a:`MARLEY'S FUNERAL`)-[r]-(b:`SCROOGE`) RETURN COUNT(r) > 0 AS edgeExists:result:True +2024-10-30 05:41:14,482 - lightrag - INFO - get_edge:query: + MATCH (source:`MARLEY'S FUNERAL`)-[r]-(target:`SCROOGE`) + RETURN r + :result:, ) type='DIRECTED' properties={'keywords': '"loss, character journey"', 'description': '"Marley\'s Funeral signifies the beginning of Scrooge\'s emotional journey, showcasing his reaction to loss and setting the stage for the narrative."', 'weight': 9.0, 'source_id': 'chunk-89777b838d5447c7bd1ec11282c4ee89'}> +2024-10-30 05:41:14,629 - lightrag - INFO - _check_edge_existence:query:MATCH (a:`SCROOGE`)-[r]-(b:`SCROOGE'S NEPHEW`) RETURN COUNT(r) > 0 AS edgeExists:result:True +2024-10-30 05:41:14,769 - lightrag - INFO - get_edge:query: + MATCH (source:`SCROOGE`)-[r]-(target:`SCROOGE'S NEPHEW`) + RETURN r + :result:, ) type='DIRECTED' properties={'keywords': '"family conflict, differing perspectives""family dynamics, contrasting views""family dynamics, opposing views"', 'description': '"Scrooge\'s Nephew contrasts with Scrooge, advocating for merriment and showing pity for his uncle\'s ill tempers.""Scrooge\'s Nephew tries to cheer Scrooge up and promote the joy of Christmas, but is met with rejection and negativity.""Scrooge\'s Nephew tries to convince Scrooge of the joys of Christmas, illustrating the conflict between their differing views on the holiday."', 'weight': 24.0, 'source_id': 'chunk-773d0df1dd25c356f7b771d780583e09chunk-74e2466de2f67fd710ef2f20c0a8d9e0chunk-5dac41b3f9eeaf794f0147400b1718cd'}> +2024-10-30 05:41:14,916 - lightrag - INFO - _check_edge_existence:query:MATCH (a:`CHRISTMAS`)-[r]-(b:`SCROOGE'S NEPHEW`) RETURN COUNT(r) > 0 AS edgeExists:result:True +2024-10-30 05:41:15,054 - lightrag - INFO - get_edge:query: + MATCH (source:`CHRISTMAS`)-[r]-(target:`SCROOGE'S NEPHEW`) + RETURN r + :result:, ) type='DIRECTED' properties={'keywords': '"advocacy for holiday spirit, family dynamics"', 'description': '"Scrooge\'s Nephew defends the positive aspects of Christmas, contrasting Scrooge\'s view that the holiday is pointless."', 'weight': 9.0, 'source_id': 'chunk-5dac41b3f9eeaf794f0147400b1718cd'}> +2024-10-30 05:41:15,205 - lightrag - INFO - _check_edge_existence:query:MATCH (a:`COUNTING-HOUSE`)-[r]-(b:`SCROOGE`) RETURN COUNT(r) > 0 AS edgeExists:result:True +2024-10-30 05:41:15,347 - lightrag - INFO - get_edge:query: + MATCH (source:`COUNTING-HOUSE`)-[r]-(target:`SCROOGE`) + RETURN r + :result:, ) type='DIRECTED' properties={'keywords': '"isolation, work environment""reflection, priorities"', 'description': '"Scrooge reflects on his life spent in the Counting-house, which represents his previous priorities focused on business over personal connections.""Scrooge\'s counting-house is a reflection of his cold character and attitude towards life, where he isolates himself from human interactions."', 'weight': 16.0, 'source_id': 'chunk-74e2466de2f67fd710ef2f20c0a8d9e0chunk-359187e7571bda4b0b08b2e0b6581e52'}> +2024-10-30 05:41:15,489 - lightrag - INFO - _check_edge_existence:query:MATCH (a:`BEGGARS`)-[r]-(b:`SCROOGE`) RETURN COUNT(r) > 0 AS edgeExists:result:True +2024-10-30 05:41:15,628 - lightrag - INFO - get_edge:query: + MATCH (source:`BEGGARS`)-[r]-(target:`SCROOGE`) + RETURN r + :result:, ) type='DIRECTED' properties={'keywords': '"lack of compassion, social isolation"', 'description': '"Beggars do not seek help from Scrooge due to his reputation, highlighting his inability to connect and empathize with those in need."', 'weight': 6.0, 'source_id': 'chunk-74e2466de2f67fd710ef2f20c0a8d9e0'}> +2024-10-30 05:41:15,776 - lightrag - INFO - _check_edge_existence:query:MATCH (a:`CHILDREN`)-[r]-(b:`SCROOGE`) RETURN COUNT(r) > 0 AS edgeExists:result:True +2024-10-30 05:41:15,919 - lightrag - INFO - get_edge:query: + MATCH (source:`CHILDREN`)-[r]-(target:`SCROOGE`) + RETURN r + :result:, ) type='DIRECTED' properties={'keywords': '"longing, innocence"', 'description': '"Scrooge\'s reaction to the Children he observes in his memories reveals his longing for the happiness he once knew but has since lost."', 'weight': 7.0, 'source_id': 'chunk-bb21d58d36c6306fd8810ddd51c4a971'}> +2024-10-30 05:41:16,107 - lightrag - INFO - _check_edge_existence:query:MATCH (a:`COLD WEATHER`)-[r]-(b:`SCROOGE`) RETURN COUNT(r) > 0 AS edgeExists:result:True +2024-10-30 05:41:16,247 - lightrag - INFO - get_edge:query: + MATCH (source:`COLD WEATHER`)-[r]-(target:`SCROOGE`) + RETURN r + :result:, ) type='DIRECTED' properties={'keywords': '"atmosphere, personality mirror"', 'description': '"The cold weather reflects Scrooge\'s icy demeanor, emphasizing his negative attitude towards life and others."', 'weight': 9.0, 'source_id': 'chunk-74e2466de2f67fd710ef2f20c0a8d9e0'}> +2024-10-30 05:41:16,394 - lightrag - INFO - _check_edge_existence:query:MATCH (a:`FOG`)-[r]-(b:`SCROOGE`) RETURN COUNT(r) > 0 AS edgeExists:result:True +2024-10-30 05:41:16,533 - lightrag - INFO - get_edge:query: + MATCH (source:`FOG`)-[r]-(target:`SCROOGE`) + RETURN r + :result:, ) type='DIRECTED' properties={'keywords': '"atmosphere, emotional reflection"', 'description': '"Fog represents the obscured vision of Scrooge\'s soul and emotions, aligning with his unknowable nature."', 'weight': 8.0, 'source_id': 'chunk-d9aac3484185ac66045df92214d245d5'}> +2024-10-30 05:41:16,675 - lightrag - INFO - _check_edge_existence:query:MATCH (a:`COURT`)-[r]-(b:`SCROOGE`) RETURN COUNT(r) > 0 AS edgeExists:result:True +2024-10-30 05:41:16,813 - lightrag - INFO - get_edge:query: + MATCH (source:`COURT`)-[r]-(target:`SCROOGE`) + RETURN r + :result:, ) type='DIRECTED' properties={'keywords': '"social contrast, isolation"', 'description': '"The court serves as a contrasting backdrop to Scrooge’s private space, where social warmth and interaction occur, which he actively avoids."', 'weight': 7.0, 'source_id': 'chunk-74e2466de2f67fd710ef2f20c0a8d9e0'}> +2024-10-30 05:41:16,960 - lightrag - INFO - _check_edge_existence:query:MATCH (a:`MARLEY`)-[r]-(b:`SCROOGE AND MARLEY'S`) RETURN COUNT(r) > 0 AS edgeExists:result:True +2024-10-30 05:41:17,097 - lightrag - INFO - get_edge:query: + MATCH (source:`MARLEY`)-[r]-(target:`SCROOGE AND MARLEY'S`) + RETURN r + :result:, ) type='DIRECTED' properties={'keywords': '"partnership, legacy"', 'description': '"Scrooge and Marley\'s is the business associated with Marley, emphasizing its history and the weight of Marley\'s legacy in shaping Scrooge\'s character."', 'weight': 6.0, 'source_id': 'chunk-5dac41b3f9eeaf794f0147400b1718cd'}> +2024-10-30 05:41:17,238 - lightrag - INFO - _check_edge_existence:query:MATCH (a:`CLERK`)-[r]-(b:`SCROOGE`) RETURN COUNT(r) > 0 AS edgeExists:result:True +2024-10-30 05:41:17,391 - lightrag - INFO - get_edge:query: + MATCH (source:`CLERK`)-[r]-(target:`SCROOGE`) + RETURN r + :result:, ) type='DIRECTED' properties={'keywords': '"employment relationship, respect"', 'description': '"The Clerk communicates with Scrooge about his work, highlighting the lack of mutual respect in their employer-employee relationship."', 'weight': 5.0, 'source_id': 'chunk-d9aac3484185ac66045df92214d245d5'}> +2024-10-30 05:41:17,541 - lightrag - INFO - _check_edge_existence:query:MATCH (a:`SCROOGE`)-[r]-(b:`THE GENTLEMEN`) RETURN COUNT(r) > 0 AS edgeExists:result:True +2024-10-30 05:41:17,678 - lightrag - INFO - get_edge:query: + MATCH (source:`SCROOGE`)-[r]-(target:`THE GENTLEMEN`) + RETURN r + :result:, ) type='DIRECTED' properties={'keywords': '"charity, social responsibility"', 'description': '"The Gentlemen approach Scrooge about donations for the poor, representing a charitable campaign that he strongly resists."', 'weight': 8.0, 'source_id': 'chunk-5dac41b3f9eeaf794f0147400b1718cd'}> +2024-10-30 05:41:17,823 - lightrag - INFO - _check_edge_existence:query:MATCH (a:`POOR AND DESTITUTE`)-[r]-(b:`SCROOGE`) RETURN COUNT(r) > 0 AS edgeExists:result:True +2024-10-30 05:41:17,961 - lightrag - INFO - get_edge:query: + MATCH (source:`POOR AND DESTITUTE`)-[r]-(target:`SCROOGE`) + RETURN r + :result:, ) type='DIRECTED' properties={'keywords': '"miserliness, social neglect"', 'description': '"Scrooge\'s reluctance to support the Poor and Destitute highlights his miserly nature and his antagonism toward societal responsibility."', 'weight': 7.0, 'source_id': 'chunk-5dac41b3f9eeaf794f0147400b1718cd'}> +2024-10-30 05:41:18,106 - lightrag - INFO - _check_edge_existence:query:MATCH (a:`CHRISTMAS-TIME`)-[r]-(b:`SCROOGE'S NEPHEW`) RETURN COUNT(r) > 0 AS edgeExists:result:True +2024-10-30 05:41:18,243 - lightrag - INFO - get_edge:query: + MATCH (source:`CHRISTMAS-TIME`)-[r]-(target:`SCROOGE'S NEPHEW`) + RETURN r + :result:, ) type='DIRECTED' properties={'keywords': '"celebration, family dynamics"', 'description': '"Scrooge\'s Nephew celebrates Christmas-Time as a period for kindness and charity, clashing with Scrooge\'s cynical view."', 'weight': 8.0, 'source_id': 'chunk-5dac41b3f9eeaf794f0147400b1718cd'}> +2024-10-30 05:41:18,388 - lightrag - INFO - _check_edge_existence:query:MATCH (a:`BEDLAM`)-[r]-(b:`SCROOGE`) RETURN COUNT(r) > 0 AS edgeExists:result:True +2024-10-30 05:41:18,524 - lightrag - INFO - get_edge:query: + MATCH (source:`BEDLAM`)-[r]-(target:`SCROOGE`) + RETURN r + :result:, ) type='DIRECTED' properties={'keywords': '"disdain, societal norms"', 'description': '"Scrooge invokes the concept of Bedlam to express his disbelief and frustration at the cheerfulness of others, implying a disdain for societal norms."', 'weight': 6.0, 'source_id': 'chunk-5dac41b3f9eeaf794f0147400b1718cd'}> +2024-10-30 05:41:18,666 - lightrag - INFO - _check_edge_existence:query:MATCH (a:`SCROOGE`)-[r]-(b:`THE GENTLEMAN`) RETURN COUNT(r) > 0 AS edgeExists:result:True +2024-10-30 05:41:18,804 - lightrag - INFO - get_edge:query: + MATCH (source:`SCROOGE`)-[r]-(target:`THE GENTLEMAN`) + RETURN r + :result:, ) type='DIRECTED' properties={'keywords': '"charity, conflict of values"', 'description': '"Scrooge and The Gentleman have opposing views on charity and helping the poor during Christmas, showing a stark contrast in values."', 'weight': 8.0, 'source_id': 'chunk-90d5764e301321c087f5a8f78b73a145'}> +2024-10-30 05:41:18,953 - lightrag - INFO - _check_edge_existence:query:MATCH (a:`THE GENTLEMAN`)-[r]-(b:`THE POOR LAW`) RETURN COUNT(r) > 0 AS edgeExists:result:True +2024-10-30 05:41:19,091 - lightrag - INFO - get_edge:query: + MATCH (source:`THE GENTLEMAN`)-[r]-(target:`THE POOR LAW`) + RETURN r + :result:, ) type='DIRECTED' properties={'keywords': '"charity, systemic support"', 'description': '"The Gentleman references the Poor Law as part of his argument for helping the needy, illustrating systemic support for the impoverished."', 'weight': 6.0, 'source_id': 'chunk-90d5764e301321c087f5a8f78b73a145'}> +2024-10-30 05:41:19,233 - lightrag - INFO - _check_edge_existence:query:MATCH (a:`THE POOR LAW`)-[r]-(b:`THE UNION WORKHOUSES`) RETURN COUNT(r) > 0 AS edgeExists:result:True +2024-10-30 05:41:19,372 - lightrag - INFO - get_edge:query: + MATCH (source:`THE POOR LAW`)-[r]-(target:`THE UNION WORKHOUSES`) + RETURN r + :result:, ) type='DIRECTED' properties={'keywords': '"support mechanisms, charity"', 'description': '"The Poor Law and Union Workhouses are connected as they both serve as mechanisms for helping the poor, albeit with differing implications for charity."', 'weight': 7.0, 'source_id': 'chunk-90d5764e301321c087f5a8f78b73a145'}> +2024-10-30 05:41:19,514 - lightrag - INFO - _check_edge_existence:query:MATCH (a:`THE LADY MAYOR`)-[r]-(b:`THE MANSION HOUSE`) RETURN COUNT(r) > 0 AS edgeExists:result:True +2024-10-30 05:41:19,652 - lightrag - INFO - get_edge:query: + MATCH (source:`THE LADY MAYOR`)-[r]-(target:`THE MANSION HOUSE`) + RETURN r + :result:, ) type='DIRECTED' properties={'keywords': '"holiday preparations, community significance"', 'description': '"The Lady Mayor prepares for Christmas festivities at the Mansion House, highlighting the importance of the event to the community."', 'weight': 8.0, 'source_id': 'chunk-90d5764e301321c087f5a8f78b73a145'}> +2024-10-30 05:41:19,794 - lightrag - INFO - _check_edge_existence:query:MATCH (a:`BOB CRATCHIT`)-[r]-(b:`SCROOGE`) RETURN COUNT(r) > 0 AS edgeExists:result:True +2024-10-30 05:41:19,932 - lightrag - INFO - get_edge:query: + MATCH (source:`BOB CRATCHIT`)-[r]-(target:`SCROOGE`) + RETURN r + :result:, ) type='DIRECTED' properties={'keywords': '"employment, generosity""employment, power dynamic""employment, social reflection""family dynamics, acknowledgment""generosity, relationship change""gratitude, redemption"', 'description': '"Bob Cratchit tries to maintain a positive atmosphere during the Christmas feast despite the negative association with Scrooge.""Bob praises Scrooge as \'The Founder of the Feast\', showing appreciation despite Scrooge’s previous miserliness.""Scrooge decides to send a turkey to Bob Cratchit, indicating a newfound kindness towards him and his family.""Scrooge is Bob Cratchit\'s employer, and he reflects on the challenges Bob faces regarding family and food on Christmas Day.".""Scrooge is the employer of Bob Cratchit, demonstrating a power dynamic characterized by Scrooge\'s harsh treatment and Bob\'s subservient role.""Scrooge reprimands Bob for arriving late, but ultimately decides to raise his salary, signaling a significant change in their employer-employee relationship."', 'weight': 40.0, 'source_id': 'chunk-503f0bfa5453467c7c61d160a3540ecachunk-90b95db5c53e4364a6bee36b7aa4d70fchunk-b0f459f5af1c3a5e0b92cbe4ee48b77bchunk-d9aac3484185ac66045df92214d245d5chunk-94bea83e7153fc2064aa382b494936a1chunk-19d72c57ae3408758b18d2568e86dc6b'}> +2024-10-30 05:41:20,074 - lightrag - INFO - _check_edge_existence:query:MATCH (a:`CHRISTMAS EVE`)-[r]-(b:`SCROOGE`) RETURN COUNT(r) > 0 AS edgeExists:result:True +2024-10-30 05:41:20,219 - lightrag - INFO - get_edge:query: + MATCH (source:`CHRISTMAS EVE`)-[r]-(target:`SCROOGE`) + RETURN r + :result:, ) type='DIRECTED' properties={'keywords': '"holiday spirit, character development"', 'description': '"Scrooge\'s actions and attitudes towards Christmas Eve highlight his disdain for traditional celebrations, setting the tone for his character arc."', 'weight': 8.0, 'source_id': 'chunk-d9aac3484185ac66045df92214d245d5'}> +2024-10-30 05:41:20,364 - lightrag - INFO - _check_edge_existence:query:MATCH (a:`BOB CRATCHIT`)-[r]-(b:`CHRISTMAS EVE`) RETURN COUNT(r) > 0 AS edgeExists:result:True +2024-10-30 05:41:20,499 - lightrag - INFO - get_edge:query: + MATCH (source:`BOB CRATCHIT`)-[r]-(target:`CHRISTMAS EVE`) + RETURN r + :result:, ) type='DIRECTED' properties={'keywords': '"celebration, contrast"', 'description': '"Bob Cratchit embodies the joy of Christmas Eve while Scrooge\'s perspective starkly contrasts with Bob\'s happiness during the holiday season."', 'weight': 5.0, 'source_id': 'chunk-d9aac3484185ac66045df92214d245d5'}> +2024-10-30 05:41:20,641 - lightrag - INFO - _check_edge_existence:query:MATCH (a:`SCROOGE`)-[r]-(b:`THE COUNTING-HOUSE`) RETURN COUNT(r) > 0 AS edgeExists:result:True +2024-10-30 05:41:20,779 - lightrag - INFO - get_edge:query: + MATCH (source:`SCROOGE`)-[r]-(target:`THE COUNTING-HOUSE`) + RETURN r + :result:, ) type='DIRECTED' properties={'keywords': '"work environment, character development""work environment, personality reflection"', 'description': '"Scrooge\'s work environment reflects his personality, being cold and uninviting, mirroring his discontent with life.""The Counting-House is where Scrooge works, illustrating the environment that shapes his bleak personality."', 'weight': 14.0, 'source_id': 'chunk-d9aac3484185ac66045df92214d245d5chunk-74e2466de2f67fd710ef2f20c0a8d9e0'}> +2024-10-30 05:41:20,921 - lightrag - INFO - _check_edge_existence:query:MATCH (a:`SCROOGE`)-[r]-(b:`THE KNOCKER`) RETURN COUNT(r) > 0 AS edgeExists:result:True +2024-10-30 05:41:21,061 - lightrag - INFO - get_edge:query: + MATCH (source:`SCROOGE`)-[r]-(target:`THE KNOCKER`) + RETURN r + :result:, ) type='DIRECTED' properties={'keywords': '"appreciation, transformation""symbolism, transformation"', 'description': '"Scrooge admires the knocker at his door, marking a positive change in his attitude towards life and surroundings.""The Knocker, transforming into Marley\'s face, symbolizes Scrooge\'s ghostly past and impending redemption challenges."', 'weight': 15.0, 'source_id': 'chunk-d9aac3484185ac66045df92214d245d5chunk-8f738cb25d60a7dab782162d9d0a25ed'}> +2024-10-30 05:41:21,203 - lightrag - INFO - _check_edge_existence:query:MATCH (a:`SCROOGE`)-[r]-(b:`THE YARD`) RETURN COUNT(r) > 0 AS edgeExists:result:True +2024-10-30 05:41:21,339 - lightrag - INFO - get_edge:query: + MATCH (source:`SCROOGE`)-[r]-(target:`THE YARD`) + RETURN r + :result:, ) type='DIRECTED' properties={'keywords': '"isolation, emotional landscape"', 'description': '"The Yard represents the isolation in Scrooge\'s life, physically and metaphorically reflecting his emotional state."', 'weight': 8.0, 'source_id': 'chunk-d9aac3484185ac66045df92214d245d5'}> +2024-10-30 05:41:21,491 - lightrag - INFO - _check_edge_existence:query:MATCH (a:`SCROOGE`)-[r]-(b:`THE FOG AND FROST`) RETURN COUNT(r) > 0 AS edgeExists:result:True +2024-10-30 05:41:21,627 - lightrag - INFO - get_edge:query: + MATCH (source:`SCROOGE`)-[r]-(target:`THE FOG AND FROST`) + RETURN r + :result:, ) type='DIRECTED' properties={'keywords': '"atmosphere, emotional coldness"', 'description': '"The Fog and Frost enveloping Scrooge\'s home reflect the chilling atmosphere of his life and his emotional coldness."', 'weight': 7.0, 'source_id': 'chunk-d9aac3484185ac66045df92214d245d5'}> +2024-10-30 05:41:21,782 - lightrag - INFO - _check_edge_existence:query:MATCH (a:`BOB CRATCHIT`)-[r]-(b:`THE COUNTING-HOUSE CLERK`) RETURN COUNT(r) > 0 AS edgeExists:result:True +2024-10-30 05:41:21,920 - lightrag - INFO - get_edge:query: + MATCH (source:`BOB CRATCHIT`)-[r]-(target:`THE COUNTING-HOUSE CLERK`) + RETURN r + :result:, ) type='DIRECTED' properties={'keywords': '"workforce dynamics, character contrast"', 'description': '"Bob Cratchit and The Counting-House Clerk represent the working class under Scrooge\'s employment, showcasing different character traits in the context of their work."', 'weight': 6.0, 'source_id': 'chunk-d9aac3484185ac66045df92214d245d5'}> +2024-10-30 05:41:22,064 - lightrag - INFO - _check_edge_existence:query:MATCH (a:`SCROOGE`)-[r]-(b:`THE GHOST OF MARLEY`) RETURN COUNT(r) > 0 AS edgeExists:result:True +2024-10-30 05:41:22,203 - lightrag - INFO - get_edge:query: + MATCH (source:`SCROOGE`)-[r]-(target:`THE GHOST OF MARLEY`) + RETURN r + :result:, ) type='DIRECTED' properties={'keywords': '"supernatural, moral reckoning"', 'description': '"The Ghost of Marley symbolizes Scrooge\'s past mistakes and serves as a catalyst for his transformation."', 'weight': 9.0, 'source_id': 'chunk-d9aac3484185ac66045df92214d245d5'}> +2024-10-30 05:41:22,348 - lightrag - INFO - _check_edge_existence:query:MATCH (a:`BOB CRATCHIT`)-[r]-(b:`CAMDEN TOWN`) RETURN COUNT(r) > 0 AS edgeExists:result:True +2024-10-30 05:41:22,486 - lightrag - INFO - get_edge:query: + MATCH (source:`BOB CRATCHIT`)-[r]-(target:`CAMDEN TOWN`) + RETURN r + :result:, ) type='DIRECTED' properties={'keywords': '"contrast, warmth"', 'description': '"Camden Town serves as a location representing warmth and family contrast to Scrooge\'s loneliness."', 'weight': 6.0, 'source_id': 'chunk-d9aac3484185ac66045df92214d245d5'}> +2024-10-30 05:41:22,629 - lightrag - INFO - _check_edge_existence:query:MATCH (a:`THE CANDLE`)-[r]-(b:`THE FOG AND FROST`) RETURN COUNT(r) > 0 AS edgeExists:result:True +2024-10-30 05:41:22,766 - lightrag - INFO - get_edge:query: + MATCH (source:`THE CANDLE`)-[r]-(target:`THE FOG AND FROST`) + RETURN r + :result:, ) type='DIRECTED' properties={'keywords': '"hope, contrast"', 'description': '"The Candle symbolizes a flicker of warmth and hope in the bleak setting of Fog and Frost, contrasting the overall atmosphere."', 'weight': 6.0, 'source_id': 'chunk-d9aac3484185ac66045df92214d245d5'}> +2024-10-30 05:41:22,908 - lightrag - INFO - _check_edge_existence:query:MATCH (a:`SCROOGE`)-[r]-(b:`THE HOUSE`) RETURN COUNT(r) > 0 AS edgeExists:result:True +2024-10-30 05:41:23,048 - lightrag - INFO - get_edge:query: + MATCH (source:`SCROOGE`)-[r]-(target:`THE HOUSE`) + RETURN r + :result:, ) type='DIRECTED' properties={'keywords': '"haunting, setting influence"', 'description': '"Scrooge\'s experiences with Marley\'s Ghost occur within The House, which plays a crucial role in the haunting atmosphere."', 'weight': 8.0, 'source_id': 'chunk-9c43dac2fcd5b578242d907ea6f8fc7b'}> +2024-10-30 05:41:23,196 - lightrag - INFO - _check_edge_existence:query:MATCH (a:`MARLEY`)-[r]-(b:`THE GHOST`) RETURN COUNT(r) > 0 AS edgeExists:result:True +2024-10-30 05:41:23,331 - lightrag - INFO - get_edge:query: + MATCH (source:`MARLEY`)-[r]-(target:`THE GHOST`) + RETURN r + :result:, ) type='DIRECTED' properties={'keywords': '"haunting, past choices"', 'description': '"Marley is the embodiment of The Ghost that appears to Scrooge, representing past choices and the consequences of his actions."', 'weight': 9.0, 'source_id': 'chunk-9c43dac2fcd5b578242d907ea6f8fc7b'}> +2024-10-30 05:41:23,476 - lightrag - INFO - _check_edge_existence:query:MATCH (a:`SCROOGE`)-[r]-(b:`THE BELL`) RETURN COUNT(r) > 0 AS edgeExists:result:True +2024-10-30 05:41:23,613 - lightrag - INFO - get_edge:query: + MATCH (source:`SCROOGE`)-[r]-(target:`THE BELL`) + RETURN r + :result:, ) type='DIRECTED' properties={'keywords': '"foreboding, supernatural"', 'description': '"The Bell\'s movement and sound foreshadow Marley\'s Ghost\'s appearance, enhancing the sense of impending supernatural activity in Scrooge\'s environment."', 'weight': 8.0, 'source_id': 'chunk-9c43dac2fcd5b578242d907ea6f8fc7b'}> +2024-10-30 05:41:23,755 - lightrag - INFO - _check_edge_existence:query:MATCH (a:`MARLEY`)-[r]-(b:`THE HEAVY CHAIN`) RETURN COUNT(r) > 0 AS edgeExists:result:True +2024-10-30 05:41:23,893 - lightrag - INFO - get_edge:query: + MATCH (source:`MARLEY`)-[r]-(target:`THE HEAVY CHAIN`) + RETURN r + :result:, ) type='DIRECTED' properties={'keywords': '"burden, consequence"', 'description': '"The Heavy Chain is linked to Marley as it suggests the burdens he carries from his earthly life, which he now haunts Scrooge with."', 'weight': 9.0, 'source_id': 'chunk-9c43dac2fcd5b578242d907ea6f8fc7b'}> +2024-10-30 05:41:24,037 - lightrag - INFO - _check_edge_existence:query:MATCH (a:`SCROOGE`)-[r]-(b:`THE WINE-MERCHANT'S CELLAR`) RETURN COUNT(r) > 0 AS edgeExists:result:True +2024-10-30 05:41:24,177 - lightrag - INFO - get_edge:query: + MATCH (source:`SCROOGE`)-[r]-(target:`THE WINE-MERCHANT'S CELLAR`) + RETURN r + :result:, ) type='DIRECTED' properties={'keywords': '"atmosphere, haunting"', 'description': '"Scrooge hears the dragging chains from The Wine-Merchant\'s Cellar, indicating that the haunting presence is felt throughout The House."', 'weight': 8.0, 'source_id': 'chunk-9c43dac2fcd5b578242d907ea6f8fc7b'}> +2024-10-30 05:41:24,321 - lightrag - INFO - _check_edge_existence:query:MATCH (a:`SCROOGE`)-[r]-(b:`THE GRATE`) RETURN COUNT(r) > 0 AS edgeExists:result:True +2024-10-30 05:41:24,464 - lightrag - INFO - get_edge:query: + MATCH (source:`SCROOGE`)-[r]-(target:`THE GRATE`) + RETURN r + :result:, ) type='DIRECTED' properties={'keywords': '"isolation, setting mood"', 'description': '"The Grate\'s cold fire adds to the bleak setting of Scrooge\'s home, illustrating his disconnection from warmth and comfort before the supernatural events unfold."', 'weight': 6.0, 'source_id': 'chunk-9c43dac2fcd5b578242d907ea6f8fc7b'}> +2024-10-30 05:41:24,605 - lightrag - INFO - _check_edge_existence:query:MATCH (a:`SCROOGE`)-[r]-(b:`THE DYING FLAME`) RETURN COUNT(r) > 0 AS edgeExists:result:True +2024-10-30 05:41:24,745 - lightrag - INFO - get_edge:query: + MATCH (source:`SCROOGE`)-[r]-(target:`THE DYING FLAME`) + RETURN r + :result:, ) type='DIRECTED' properties={'keywords': '"fear, conflict"', 'description': '"The Dying Flame\'s flickering is reflective of Scrooge\'s fear and mental state in the presence of the ghost, amplifying his internal conflict."', 'weight': 8.0, 'source_id': 'chunk-9c43dac2fcd5b578242d907ea6f8fc7b'}> +2024-10-30 05:41:24,887 - lightrag - INFO - _check_edge_existence:query:MATCH (a:`MARLEY'S GHOST`)-[r]-(b:`SCROOGE`) RETURN COUNT(r) > 0 AS edgeExists:result:True +2024-10-30 05:41:25,024 - lightrag - INFO - get_edge:query: + MATCH (source:`MARLEY'S GHOST`)-[r]-(target:`SCROOGE`) + RETURN r + :result:, ) type='DIRECTED' properties={'keywords': '"supernatural confrontation, regret""warning, fate"', 'description': '"Marley\'s Ghost warns Scrooge about the consequences of his actions and the visits of the three spirits, setting the stage for his transformation.""Scrooge is haunted by Marley\'s Ghost, which confronts him as a part of a supernatural occurrence meant to incite fear and reflection on his life choices."', 'weight': 18.0, 'source_id': 'chunk-9c43dac2fcd5b578242d907ea6f8fc7bchunk-cb661c37436355ccec2769b1d0350c5f'}> +2024-10-30 05:41:25,171 - lightrag - INFO - _check_edge_existence:query:MATCH (a:`JACOB MARLEY`)-[r]-(b:`MARLEY'S GHOST`) RETURN COUNT(r) > 0 AS edgeExists:result:True +2024-10-30 05:41:25,332 - lightrag - INFO - get_edge:query: + MATCH (source:`JACOB MARLEY`)-[r]-(target:`MARLEY'S GHOST`) + RETURN r + :result:, ) type='DIRECTED' properties={'keywords': '"past partnership, redemption"', 'description': '"Jacob Marley is the entity represented by Marley\'s Ghost, embodying the warning about the repercussions of a life focused solely on material gain."', 'weight': 9.0, 'source_id': 'chunk-1aa50206d02ed89418f65f97c6441d1c'}> +2024-10-30 05:41:25,475 - lightrag - INFO - _check_edge_existence:query:MATCH (a:`GHOST`)-[r]-(b:`SCROOGE`) RETURN COUNT(r) > 0 AS edgeExists:result:True +2024-10-30 05:41:25,615 - lightrag - INFO - get_edge:query: + MATCH (source:`GHOST`)-[r]-(target:`SCROOGE`) + RETURN r + :result:, ) type='DIRECTED' properties={'keywords': '"reflection, self-discovery""spiritual guidance, transformation"', 'description': '"The Ghost guides Scrooge through reflections of his past, influencing his journey toward redemption.""The Ghost takes Scrooge on a journey to teach him lessons about generosity and compassion towards others."', 'weight': 17.0, 'source_id': 'chunk-c6c248858d1b13ab7ee9ca13c1aeed6bchunk-e7637ff18c5ded77a68cce0a87883fad'}> +2024-10-30 05:41:25,761 - lightrag - INFO - _check_edge_existence:query:MATCH (a:`GHOST`)-[r]-(b:`JACOB MARLEY`) RETURN COUNT(r) > 0 AS edgeExists:result:True +2024-10-30 05:41:25,901 - lightrag - INFO - get_edge:query: + MATCH (source:`GHOST`)-[r]-(target:`JACOB MARLEY`) + RETURN r + :result:, ) type='DIRECTED' properties={'keywords': '"identity, remorse"', 'description': '"The Ghost is revealed to be Jacob Marley, who embodies the regret of a wasted life and the importance of personal responsibility."', 'weight': 10.0, 'source_id': 'chunk-359187e7571bda4b0b08b2e0b6581e52'}> +2024-10-30 05:41:26,046 - lightrag - INFO - _check_edge_existence:query:MATCH (a:`JACOB MARLEY`)-[r]-(b:`SCROOGE`) RETURN COUNT(r) > 0 AS edgeExists:result:True +2024-10-30 05:41:26,183 - lightrag - INFO - get_edge:query: + MATCH (source:`JACOB MARLEY`)-[r]-(target:`SCROOGE`) + RETURN r + :result:, ) type='DIRECTED' properties={'keywords': '"catalyst for change, supernatural guidance""past influence, warning""redemption, moral lesson""supernatural encounter, past ties""transformation, influence""warning, transformation"', 'description': '"Jacob Marley is the spirit who brings forth the need for Scrooge to change his ways, impacting his character development.""Scrooge confronts Jacob Marley, his former business partner, who returns as a ghost to influence Scrooge\'s perspective on life and his actions.""Scrooge converses with the ghost of Jacob Marley, who tries to guide him toward understanding the importance of compassion and the consequences of his actions.""Scrooge interacts with Jacob Marley, who serves as a critical warning for Scrooge to change his ways before it\'s too late.""Scrooge reflects on Jacob Marley’s past warnings, which serve as a catalyst for his transformation.""Scrooge\'s transformation is prompted by the appearance and message of Jacob Marley, his former business partner."', 'weight': 54.0, 'source_id': 'chunk-90b95db5c53e4364a6bee36b7aa4d70fchunk-1aa50206d02ed89418f65f97c6441d1cchunk-02baee20cc9463dbe08170a8e1043e32chunk-91572b3cd42786ba4cb2f180ca25cbf4chunk-da2472b4ef2a535b62908f14d0fb0ca9chunk-359187e7571bda4b0b08b2e0b6581e52'}> +2024-10-30 05:41:26,343 - lightrag - INFO - _check_edge_existence:query:MATCH (a:`GHOST`)-[r]-(b:`MANKIND`) RETURN COUNT(r) > 0 AS edgeExists:result:True +2024-10-30 05:41:26,501 - lightrag - INFO - get_edge:query: + MATCH (source:`GHOST`)-[r]-(target:`MANKIND`) + RETURN r + :result:, ) type='DIRECTED' properties={'keywords': '"moral duty, call to action"', 'description': '"The Ghost emphasizes that Mankind was his true business in life, urging Scrooge to focus on the welfare of others."', 'weight': 9.0, 'source_id': 'chunk-359187e7571bda4b0b08b2e0b6581e52'}> +2024-10-30 05:41:26,646 - lightrag - INFO - _check_edge_existence:query:MATCH (a:`CHRISTMAS EVES`)-[r]-(b:`SCROOGE`) RETURN COUNT(r) > 0 AS edgeExists:result:True +2024-10-30 05:41:26,783 - lightrag - INFO - get_edge:query: + MATCH (source:`CHRISTMAS EVES`)-[r]-(target:`SCROOGE`) + RETURN r + :result:, ) type='DIRECTED' properties={'keywords': '"time of reflection, redemption"', 'description': '"Christmas Eves symbolize a critical time for self-reflection and understanding one\'s past decisions, linking to Scrooge\'s journey of redemption."', 'weight': 7.0, 'source_id': 'chunk-359187e7571bda4b0b08b2e0b6581e52'}> +2024-10-30 05:41:26,930 - lightrag - INFO - _check_edge_existence:query:MATCH (a:`ETERNAL CHAIN`)-[r]-(b:`GHOST`) RETURN COUNT(r) > 0 AS edgeExists:result:True +2024-10-30 05:41:27,070 - lightrag - INFO - get_edge:query: + MATCH (source:`ETERNAL CHAIN`)-[r]-(target:`GHOST`) + RETURN r + :result:, ) type='DIRECTED' properties={'keywords': '"burden, regret"', 'description': '"The Ghost describes the Eternal Chain as a symbol of the burdens he carries due to his life choices, emphasizing the consequences of neglecting humanity."', 'weight': 9.0, 'source_id': 'chunk-359187e7571bda4b0b08b2e0b6581e52'}> +2024-10-30 05:41:27,211 - lightrag - INFO - _check_edge_existence:query:MATCH (a:`STAR`)-[r]-(b:`WISE MEN`) RETURN COUNT(r) > 0 AS edgeExists:result:True +2024-10-30 05:41:27,352 - lightrag - INFO - get_edge:query: + MATCH (source:`STAR`)-[r]-(target:`WISE MEN`) + RETURN r + :result:, ) type='DIRECTED' properties={'keywords': '"guidance, generosity"', 'description': '"The Star guided the Wise Men to recognize the importance of giving, which relates to the values that the Ghost tries to impart to Scrooge."', 'weight': 7.0, 'source_id': 'chunk-359187e7571bda4b0b08b2e0b6581e52'}> +2024-10-30 05:41:27,499 - lightrag - INFO - _check_edge_existence:query:MATCH (a:`FELLOW-BEINGS`)-[r]-(b:`SCROOGE`) RETURN COUNT(r) > 0 AS edgeExists:result:True +2024-10-30 05:41:27,637 - lightrag - INFO - get_edge:query: + MATCH (source:`FELLOW-BEINGS`)-[r]-(target:`SCROOGE`) + RETURN r + :result:, ) type='DIRECTED' properties={'keywords': '"neglect, realization"', 'description': '"Scrooge is confronted with his past choices to ignore Fellow-beings, leading to a realization of his moral failures."', 'weight': 8.0, 'source_id': 'chunk-359187e7571bda4b0b08b2e0b6581e52'}> +2024-10-30 05:41:27,779 - lightrag - INFO - _check_edge_existence:query:MATCH (a:`CHRISTMAS SPIRIT`)-[r]-(b:`GHOST`) RETURN COUNT(r) > 0 AS edgeExists:result:True +2024-10-30 05:41:27,918 - lightrag - INFO - get_edge:query: + MATCH (source:`CHRISTMAS SPIRIT`)-[r]-(target:`GHOST`) + RETURN r + :result:, ) type='DIRECTED' properties={'keywords': '"values, transformation"', 'description': '"The Ghost embodies the Christmas Spirit\'s values of compassion and kindness, urging Scrooge to reconsider his way of living."', 'weight': 9.0, 'source_id': 'chunk-359187e7571bda4b0b08b2e0b6581e52'}> +2024-10-30 05:41:28,058 - lightrag - INFO - _check_edge_existence:query:MATCH (a:`GHOST`)-[r]-(b:`SPECTRE`) RETURN COUNT(r) > 0 AS edgeExists:result:True +2024-10-30 05:41:28,197 - lightrag - INFO - get_edge:query: + MATCH (source:`GHOST`)-[r]-(target:`SPECTRE`) + RETURN r + :result:, ) type='DIRECTED' properties={'keywords': '"identity, motivation"', 'description': '"The Spectre is synonymous with the Ghost, representing the collective spirit urging Scrooge to change his ways."', 'weight': 10.0, 'source_id': 'chunk-359187e7571bda4b0b08b2e0b6581e52'}> +2024-10-30 05:41:28,342 - lightrag - INFO - _check_edge_existence:query:MATCH (a:`JACOB MARLEY`)-[r]-(b:`THE THREE SPIRITS`) RETURN COUNT(r) > 0 AS edgeExists:result:True +2024-10-30 05:41:28,479 - lightrag - INFO - get_edge:query: + MATCH (source:`JACOB MARLEY`)-[r]-(target:`THE THREE SPIRITS`) + RETURN r + :result:, ) type='DIRECTED' properties={'keywords': '"guidance, redemption"', 'description': '"Jacob Marley indicates that Scrooge will be visited by The Three Spirits to offer him guidance and the chance for redemption."', 'weight': 8.0, 'source_id': 'chunk-cb661c37436355ccec2769b1d0350c5f'}> +2024-10-30 05:41:28,622 - lightrag - INFO - _check_edge_existence:query:MATCH (a:`SCROOGE`)-[r]-(b:`THE GHOST`) RETURN COUNT(r) > 0 AS edgeExists:result:True +2024-10-30 05:41:28,760 - lightrag - INFO - get_edge:query: + MATCH (source:`SCROOGE`)-[r]-(target:`THE GHOST`) + RETURN r + :result:, ) type='DIRECTED' properties={'keywords': '"guidance, transformation""memory, influence""reflection, guidance""self-reflection, transformation"', 'description': '"Scrooge\'s engagement with The Ghost prompts a significant emotional and psychological transformation as he confronts his past.""The Ghost guides Scrooge through visions of his past, forcing him to confront his choices and their consequences.""The Ghost influences Scrooge\'s reflections on his past and his current emotions regarding Christmas festivities.""The Ghost serves as a catalyst for Scrooge\'s reflections, guiding him to confront his past and feelings about Christmas."', 'weight': 35.0, 'source_id': 'chunk-da2472b4ef2a535b62908f14d0fb0ca9chunk-43c9bee23adfa77aa9dedd22401bba7dchunk-54bdd22db1f84a965b5f4c06c9216d8dchunk-8590d9263cd2cd4fa583c432fc54e6c3'}> +2024-10-30 05:41:28,902 - lightrag - INFO - _check_edge_existence:query:MATCH (a:`SCROOGE`)-[r]-(b:`THE PHANTOM VOICES`) RETURN COUNT(r) > 0 AS edgeExists:result:True +2024-10-30 05:41:29,047 - lightrag - INFO - get_edge:query: + MATCH (source:`SCROOGE`)-[r]-(target:`THE PHANTOM VOICES`) + RETURN r + :result:, ) type='DIRECTED' properties={'keywords': '"regret, lost opportunities"', 'description': '"Scrooge hears the lamentations of The Phantom Voices, reflecting his connection to the spirits of the lost and the consequences of his life choices."', 'weight': 6.0, 'source_id': 'chunk-cb661c37436355ccec2769b1d0350c5f'}> +2024-10-30 05:41:29,190 - lightrag - INFO - _check_edge_existence:query:MATCH (a:`SCROOGE`)-[r]-(b:`THE WINDOW`) RETURN COUNT(r) > 0 AS edgeExists:result:True +2024-10-30 05:41:29,331 - lightrag - INFO - get_edge:query: + MATCH (source:`SCROOGE`)-[r]-(target:`THE WINDOW`) + RETURN r + :result:, ) type='DIRECTED' properties={'keywords': '"curiosity, fear"', 'description': '"Scrooge approaches The Window, which acts as a portal to the outside world and the supernatural, illustrating his curiosity and fear."', 'weight': 5.0, 'source_id': 'chunk-cb661c37436355ccec2769b1d0350c5f'}> +2024-10-30 05:41:29,473 - lightrag - INFO - _check_edge_existence:query:MATCH (a:`MARLEY'S GHOST`)-[r]-(b:`THE CHAIN`) RETURN COUNT(r) > 0 AS edgeExists:result:True +2024-10-30 05:41:29,612 - lightrag - INFO - get_edge:query: + MATCH (source:`MARLEY'S GHOST`)-[r]-(target:`THE CHAIN`) + RETURN r + :result:, ) type='DIRECTED' properties={'keywords': '"regret, warning"', 'description': '"Marley\'s Ghost is bound by The Chain, which symbolizes his regrets and serves as a warning to Scrooge about the consequences of his own actions."', 'weight': 9.0, 'source_id': 'chunk-cb661c37436355ccec2769b1d0350c5f'}> +2024-10-30 05:41:29,753 - lightrag - INFO - _check_edge_existence:query:MATCH (a:`SCROOGE`)-[r]-(b:`THE CLOCK`) RETURN COUNT(r) > 0 AS edgeExists:result:True +2024-10-30 05:41:29,895 - lightrag - INFO - get_edge:query: + MATCH (source:`SCROOGE`)-[r]-(target:`THE CLOCK`) + RETURN r + :result:, ) type='DIRECTED' properties={'keywords': '"time distortion, confusion"', 'description': '"Scrooge\'s interaction with the faulty clock symbolizes his disconnection from time and reality, as he struggles to comprehend his experiences."', 'weight': 6.0, 'source_id': 'chunk-cb661c37436355ccec2769b1d0350c5f'}> +2024-10-30 05:41:30,037 - lightrag - INFO - _check_edge_existence:query:MATCH (a:`SCROOGE`)-[r]-(b:`THE DARKNESS`) RETURN COUNT(r) > 0 AS edgeExists:result:True +2024-10-30 05:41:30,179 - lightrag - INFO - get_edge:query: + MATCH (source:`SCROOGE`)-[r]-(target:`THE DARKNESS`) + RETURN r + :result:, ) type='DIRECTED' properties={'keywords': '"internal struggle, unknown"', 'description': '"Scrooge finds himself enveloped by The Darkness, representing his internal struggle and the unknown future he faces."', 'weight': 6.0, 'source_id': 'chunk-cb661c37436355ccec2769b1d0350c5f'}> +2024-10-30 05:41:30,325 - lightrag - INFO - _check_edge_existence:query:MATCH (a:`CLOCK`)-[r]-(b:`SCROOGE`) RETURN COUNT(r) > 0 AS edgeExists:result:True +2024-10-30 05:41:30,468 - lightrag - INFO - get_edge:query: + MATCH (source:`CLOCK`)-[r]-(target:`SCROOGE`) + RETURN r + :result:, ) type='DIRECTED' properties={'keywords': '"time symbolism, anxiety"', 'description': '"Scrooge\'s observations of the Clock reflect his anxiety over time and the supernatural events unfolding around him."', 'weight': 7.0, 'source_id': 'chunk-c7b10789a9cb0af6c553730b29bd9034'}> +2024-10-30 05:41:30,615 - lightrag - INFO - _check_edge_existence:query:MATCH (a:`SCROOGE`)-[r]-(b:`SPIRIT`) RETURN COUNT(r) > 0 AS edgeExists:result:True +2024-10-30 05:41:30,762 - lightrag - INFO - get_edge:query: + MATCH (source:`SCROOGE`)-[r]-(target:`SPIRIT`) + RETURN r + :result:, ) type='DIRECTED' properties={'keywords': '"guidance, emotional journey""guidance, transformation""personal growth, spiritual journey""reflection, guidance"', 'description': '"Scrooge engages with the Spirit, who guides him through reflections on his life and warns him of societal issues.""Scrooge learns from the Spirit about the consequences of his actions and the sentiments evoked by death, leading to personal growth.""Scrooge’s interaction with the Spirit emphasizes the emotional weight of his past decisions and feelings as they relate to his transformation.""The Spirit directly influences Scrooge’s transformation and highlights the importance of compassion in human life."', 'weight': 34.0, 'source_id': 'chunk-02baee20cc9463dbe08170a8e1043e32chunk-bb21d58d36c6306fd8810ddd51c4a971chunk-83ac129dc9b56f84c46760d153d68e93chunk-e7637ff18c5ded77a68cce0a87883fad'}> +2024-10-30 05:41:30,914 - lightrag - INFO - _check_edge_existence:query:MATCH (a:`GHOST OF CHRISTMAS PAST`)-[r]-(b:`WINTER DAY`) RETURN COUNT(r) > 0 AS edgeExists:result:True +2024-10-30 05:41:31,059 - lightrag - INFO - get_edge:query: + MATCH (source:`GHOST OF CHRISTMAS PAST`)-[r]-(target:`WINTER DAY`) + RETURN r + :result:, ) type='DIRECTED' properties={'keywords': '"nostalgia, memory"', 'description': '"The Ghost leads Scrooge to experience a winter day from his memories, emphasizing feelings of nostalgia and longing."', 'weight': 9.0, 'source_id': 'chunk-bb21d58d36c6306fd8810ddd51c4a971'}> +2024-10-30 05:41:31,202 - lightrag - INFO - _check_edge_existence:query:MATCH (a:`MARKET-TOWN`)-[r]-(b:`SCROOGE`) RETURN COUNT(r) > 0 AS edgeExists:result:True +2024-10-30 05:41:31,340 - lightrag - INFO - get_edge:query: + MATCH (source:`MARKET-TOWN`)-[r]-(target:`SCROOGE`) + RETURN r + :result:, ) type='DIRECTED' properties={'keywords': '"nostalgia, memory"', 'description': '"Scrooge recognizes the Market-Town, eliciting fond memories from his childhood and emphasizing his emotional response to the past."', 'weight': 7.0, 'source_id': 'chunk-bb21d58d36c6306fd8810ddd51c4a971'}> +2024-10-30 05:41:31,485 - lightrag - INFO - _check_edge_existence:query:MATCH (a:`BOYS`)-[r]-(b:`SCROOGE`) RETURN COUNT(r) > 0 AS edgeExists:result:True +2024-10-30 05:41:31,622 - lightrag - INFO - get_edge:query: + MATCH (source:`BOYS`)-[r]-(target:`SCROOGE`) + RETURN r + :result:, ) type='DIRECTED' properties={'keywords': '"joy, childhood memories"', 'description': '"Scrooge feels joy upon seeing the boys, evoking memories of childhood experiences and emotions associated with them."', 'weight': 7.0, 'source_id': 'chunk-bb21d58d36c6306fd8810ddd51c4a971'}> +2024-10-30 05:41:31,765 - lightrag - INFO - _check_edge_existence:query:MATCH (a:`BOYS`)-[r]-(b:`SHAGGY PONIES`) RETURN COUNT(r) > 0 AS edgeExists:result:True +2024-10-30 05:41:31,916 - lightrag - INFO - get_edge:query: + MATCH (source:`BOYS`)-[r]-(target:`SHAGGY PONIES`) + RETURN r + :result:, ) type='DIRECTED' properties={'keywords': '"playfulness, childhood"', 'description': '"The boys interact with the shaggy ponies, highlighting the carefree and playful nature of youth in Scrooge\'s memories."', 'weight': 6.0, 'source_id': 'chunk-bb21d58d36c6306fd8810ddd51c4a971'}> +2024-10-30 05:41:32,064 - lightrag - INFO - _check_edge_existence:query:MATCH (a:`BRIDGE`)-[r]-(b:`SCROOGE`) RETURN COUNT(r) > 0 AS edgeExists:result:True +2024-10-30 05:41:32,202 - lightrag - INFO - get_edge:query: + MATCH (source:`BRIDGE`)-[r]-(target:`SCROOGE`) + RETURN r + :result:, ) type='DIRECTED' properties={'keywords': '"memory, landmark"', 'description': '"The bridge serves as a significant landmark in Scrooge\'s past, reminding him of his childhood and former happiness."', 'weight': 7.0, 'source_id': 'chunk-bb21d58d36c6306fd8810ddd51c4a971'}> +2024-10-30 05:41:32,343 - lightrag - INFO - _check_edge_existence:query:MATCH (a:`CHURCH`)-[r]-(b:`SCROOGE`) RETURN COUNT(r) > 0 AS edgeExists:result:True +2024-10-30 05:41:32,486 - lightrag - INFO - get_edge:query: + MATCH (source:`CHURCH`)-[r]-(target:`SCROOGE`) + RETURN r + :result:, ) type='DIRECTED' properties={'keywords': '"community, contrast"', 'description': '"The church symbolizes the community and settings of Scrooge\'s past, highlighting the contrast between then and now."', 'weight': 8.0, 'source_id': 'chunk-bb21d58d36c6306fd8810ddd51c4a971'}> +2024-10-30 05:41:32,629 - lightrag - INFO - _check_edge_existence:query:MATCH (a:`SCROOGE`)-[r]-(b:`WINDING RIVER`) RETURN COUNT(r) > 0 AS edgeExists:result:True +2024-10-30 05:41:32,764 - lightrag - INFO - get_edge:query: + MATCH (source:`SCROOGE`)-[r]-(target:`WINDING RIVER`) + RETURN r + :result:, ) type='DIRECTED' properties={'keywords': '"nostalgia, memory"', 'description': '"The winding river evokes memories and emotions for Scrooge, connecting him to his past experiences and places."', 'weight': 8.0, 'source_id': 'chunk-bb21d58d36c6306fd8810ddd51c4a971'}> +2024-10-30 05:41:32,907 - lightrag - INFO - _check_edge_existence:query:MATCH (a:`GHOST OF CHRISTMAS PAST`)-[r]-(b:`SCROOGE'S MEMORIES`) RETURN COUNT(r) > 0 AS edgeExists:result:True +2024-10-30 05:41:33,045 - lightrag - INFO - get_edge:query: + MATCH (source:`GHOST OF CHRISTMAS PAST`)-[r]-(target:`SCROOGE'S MEMORIES`) + RETURN r + :result:, ) type='DIRECTED' properties={'keywords': '"memory, confrontation"', 'description': '"The Ghost facilitates Scrooge\'s recollection of his memories, allowing him to confront his past choices."', 'weight': 9.0, 'source_id': 'chunk-bb21d58d36c6306fd8810ddd51c4a971'}> +2024-10-30 05:41:33,187 - lightrag - INFO - _check_edge_existence:query:MATCH (a:`SCROOGE`)-[r]-(b:`THE SPIRIT`) RETURN COUNT(r) > 0 AS edgeExists:result:True +2024-10-30 05:41:33,325 - lightrag - INFO - get_edge:query: + MATCH (source:`SCROOGE`)-[r]-(target:`THE SPIRIT`) + RETURN r + :result:, ) type='DIRECTED' properties={'keywords': '"guidance, transformation""moral guidance, transformation""self-reflection, transformation""supernatural guidance, self-reflection""supernatural intervention, guidance"', 'description': '"Scrooge engages with the Spirit as it reveals memories that prompt significant self-reflection and consideration of change.""Scrooge is guided by the Spirit, who shows him different scenes related to the joy and struggles of Christmas, aiming to change his heart.""The Spirit challenges Scrooge\'s perspective on life, urging him to consider the implications of his actions in light of death.""The Spirit represents an upcoming change in Scrooge\'s life, aiming to guide him towards redemption.""The Spirit represents moral lessons and urges Scrooge to change his ways for a better future."', 'weight': 47.0, 'source_id': 'chunk-b2f98bc7abb0c67d4c86055c7fd72218chunk-e1f29eeadc1d8ab46dc8a0bbd3c56b64chunk-91572b3cd42786ba4cb2f180ca25cbf4chunk-da2472b4ef2a535b62908f14d0fb0ca9chunk-91614df5cb74cbe5e109a338a82041e9'}> +2024-10-30 05:41:33,469 - lightrag - INFO - _check_edge_existence:query:MATCH (a:`ALI BABA`)-[r]-(b:`SCROOGE`) RETURN COUNT(r) > 0 AS edgeExists:result:True +2024-10-30 05:41:33,606 - lightrag - INFO - get_edge:query: + MATCH (source:`ALI BABA`)-[r]-(target:`SCROOGE`) + RETURN r + :result:, ) type='DIRECTED' properties={'keywords': '"nostalgia, childhood stories"', 'description': '"Scrooge recalls Ali Baba while reflecting on memories of Christmas, indicating a strong personal connection to the story and its impact on him."', 'weight': 8.0, 'source_id': 'chunk-8590d9263cd2cd4fa583c432fc54e6c3'}> +2024-10-30 05:41:33,747 - lightrag - INFO - _check_edge_existence:query:MATCH (a:`SCROOGE`)-[r]-(b:`VALENTINE`) RETURN COUNT(r) > 0 AS edgeExists:result:True +2024-10-30 05:41:33,882 - lightrag - INFO - get_edge:query: + MATCH (source:`SCROOGE`)-[r]-(target:`VALENTINE`) + RETURN r + :result:, ) type='DIRECTED' properties={'keywords': '"family memories, nostalgia"', 'description': '"Scrooge\'s mention of Valentine signifies his memories of familial ties and childhood experiences during Christmas."', 'weight': 6.0, 'source_id': 'chunk-8590d9263cd2cd4fa583c432fc54e6c3'}> +2024-10-30 05:41:34,023 - lightrag - INFO - _check_edge_existence:query:MATCH (a:`ORSON`)-[r]-(b:`VALENTINE`) RETURN COUNT(r) > 0 AS edgeExists:result:True +2024-10-30 05:41:34,161 - lightrag - INFO - get_edge:query: + MATCH (source:`ORSON`)-[r]-(target:`VALENTINE`) + RETURN r + :result:, ) type='DIRECTED' properties={'keywords': '"family, nostalgia"', 'description': '"Orson and Valentine are brothers in the stories remembered by Scrooge, representing familial bonds in his past."', 'weight': 8.0, 'source_id': 'chunk-8590d9263cd2cd4fa583c432fc54e6c3'}> +2024-10-30 05:41:34,305 - lightrag - INFO - _check_edge_existence:query:MATCH (a:`CHILD`)-[r]-(b:`SCROOGE`) RETURN COUNT(r) > 0 AS edgeExists:result:True +2024-10-30 05:41:34,451 - lightrag - INFO - get_edge:query: + MATCH (source:`CHILD`)-[r]-(target:`SCROOGE`) + RETURN r + :result:, ) type='DIRECTED' properties={'keywords': '"self-reflection, past connection"', 'description': '"Scrooge sees his younger self in the solitary child, sparking deep emotional reflections about his past and choices."', 'weight': 8.0, 'source_id': 'chunk-8590d9263cd2cd4fa583c432fc54e6c3'}> +2024-10-30 05:41:34,610 - lightrag - INFO - _check_edge_existence:query:MATCH (a:`ALI BABA`)-[r]-(b:`ROBIN CRUSOE`) RETURN COUNT(r) > 0 AS edgeExists:result:True +2024-10-30 05:41:34,751 - lightrag - INFO - get_edge:query: + MATCH (source:`ALI BABA`)-[r]-(target:`ROBIN CRUSOE`) + RETURN r + :result:, ) type='DIRECTED' properties={'keywords': '"literary connection, childhood memories"', 'description': '"Both Ali Baba and Robin Crusoe represent figures from stories that shaped Scrooge\'s childhood memories and sentiments towards Christmas."', 'weight': 7.0, 'source_id': 'chunk-8590d9263cd2cd4fa583c432fc54e6c3'}> +2024-10-30 05:41:34,895 - lightrag - INFO - _check_edge_existence:query:MATCH (a:`MANSION`)-[r]-(b:`SCROOGE`) RETURN COUNT(r) > 0 AS edgeExists:result:True +2024-10-30 05:41:35,036 - lightrag - INFO - get_edge:query: + MATCH (source:`MANSION`)-[r]-(target:`SCROOGE`) + RETURN r + :result:, ) type='DIRECTED' properties={'keywords': '"symbolism, emotional state"', 'description': '"The Mansion symbolizes the neglect and decay that parallels Scrooge\'s own emotional state and memories of his past."', 'weight': 8.0, 'source_id': 'chunk-8590d9263cd2cd4fa583c432fc54e6c3'}> +2024-10-30 05:41:35,179 - lightrag - INFO - _check_edge_existence:query:MATCH (a:`MANSION`)-[r]-(b:`THE GHOST`) RETURN COUNT(r) > 0 AS edgeExists:result:True +2024-10-30 05:41:35,338 - lightrag - INFO - get_edge:query: + MATCH (source:`MANSION`)-[r]-(target:`THE GHOST`) + RETURN r + :result:, ) type='DIRECTED' properties={'keywords': '"guidance, contrast"', 'description': '"The Ghost guides Scrooge through the Mansion, illustrating the contrast between past warmth and present decay."', 'weight': 9.0, 'source_id': 'chunk-8590d9263cd2cd4fa583c432fc54e6c3'}> +2024-10-30 05:41:35,484 - lightrag - INFO - _check_edge_existence:query:MATCH (a:`FRIDAY`)-[r]-(b:`ROBIN CRUSOE`) RETURN COUNT(r) > 0 AS edgeExists:result:True +2024-10-30 05:41:35,629 - lightrag - INFO - get_edge:query: + MATCH (source:`FRIDAY`)-[r]-(target:`ROBIN CRUSOE`) + RETURN r + :result:, ) type='DIRECTED' properties={'keywords': '"friendship, adventure"', 'description': '"Friday serves alongside Robin Crusoe in the stories remembered by Scrooge, representing loyalty and friendship in adventure."', 'weight': 7.0, 'source_id': 'chunk-8590d9263cd2cd4fa583c432fc54e6c3'}> +2024-10-30 05:41:35,772 - lightrag - INFO - _check_edge_existence:query:MATCH (a:`SCROOGE`)-[r]-(b:`THE PARROT`) RETURN COUNT(r) > 0 AS edgeExists:result:True +2024-10-30 05:41:35,908 - lightrag - INFO - get_edge:query: + MATCH (source:`SCROOGE`)-[r]-(target:`THE PARROT`) + RETURN r + :result:, ) type='DIRECTED' properties={'keywords': '"nostalgia, whimsy"', 'description': '"Scrooge recalls the Parrot associated with his memories of Robin Crusoe, highlighting the whimsical and nostalgic aspects of his reflections."', 'weight': 6.0, 'source_id': 'chunk-8590d9263cd2cd4fa583c432fc54e6c3'}> +2024-10-30 05:41:36,051 - lightrag - INFO - _check_edge_existence:query:MATCH (a:`CHILD`)-[r]-(b:`THE SPIRIT`) RETURN COUNT(r) > 0 AS edgeExists:result:True +2024-10-30 05:41:36,189 - lightrag - INFO - get_edge:query: + MATCH (source:`CHILD`)-[r]-(target:`THE SPIRIT`) + RETURN r + :result:, ) type='DIRECTED' properties={'keywords': '"remembrance, neglect"', 'description': '"The Spirit points Scrooge to the Child, emphasizing themes of neglect, remembrance, and the importance of past experiences."', 'weight': 8.0, 'source_id': 'chunk-8590d9263cd2cd4fa583c432fc54e6c3'}> +2024-10-30 05:41:36,351 - lightrag - INFO - _check_edge_existence:query:MATCH (a:`DICK WILKINS`)-[r]-(b:`FEZZIWIG`) RETURN COUNT(r) > 0 AS edgeExists:result:True +2024-10-30 05:41:36,494 - lightrag - INFO - get_edge:query: + MATCH (source:`DICK WILKINS`)-[r]-(target:`FEZZIWIG`) + RETURN r + :result:, ) type='DIRECTED' properties={'keywords': '"apprenticeship, camaraderie"', 'description': '"Fezziwig and Dick Wilkins are connected through their roles in Scrooge\'s past, representing camaraderie and joyful experiences at work."', 'weight': 7.0, 'source_id': 'chunk-c6c248858d1b13ab7ee9ca13c1aeed6b'}> +2024-10-30 05:41:36,640 - lightrag - INFO - _check_edge_existence:query:MATCH (a:`DICK WILKINS`)-[r]-(b:`SCROOGE`) RETURN COUNT(r) > 0 AS edgeExists:result:True +2024-10-30 05:41:36,781 - lightrag - INFO - get_edge:query: + MATCH (source:`DICK WILKINS`)-[r]-(target:`SCROOGE`) + RETURN r + :result:, ) type='DIRECTED' properties={'keywords': '"friendship, apprenticeship"', 'description': '"Scrooge recalls his friendship with Dick Wilkins, highlighting the connections of youth and support during their apprenticeship."', 'weight': 7.0, 'source_id': 'chunk-c6c248858d1b13ab7ee9ca13c1aeed6b'}> +2024-10-30 05:41:36,931 - lightrag - INFO - _check_edge_existence:query:MATCH (a:`CHRISTMAS-TIME`)-[r]-(b:`SCROOGE`) RETURN COUNT(r) > 0 AS edgeExists:result:True +2024-10-30 05:41:37,067 - lightrag - INFO - get_edge:query: + MATCH (source:`CHRISTMAS-TIME`)-[r]-(target:`SCROOGE`) + RETURN r + :result:, ) type='DIRECTED' properties={'keywords': '"cynicism, holiday spirit conflict"', 'description': '"Scrooge views Christmas-time as a burden rather than a celebration, contrasting with the feelings of others around him."', 'weight': 9.0, 'source_id': 'chunk-5dac41b3f9eeaf794f0147400b1718cd'}> +2024-10-30 05:41:37,212 - lightrag - INFO - _check_edge_existence:query:MATCH (a:`SCROOGE`)-[r]-(b:`THE CITY`) RETURN COUNT(r) > 0 AS edgeExists:result:True +2024-10-30 05:41:37,355 - lightrag - INFO - get_edge:query: + MATCH (source:`SCROOGE`)-[r]-(target:`THE CITY`) + RETURN r + :result:, ) type='DIRECTED' properties={'keywords': '"disconnection, personal evolution""reflection, urban life"', 'description': '"Scrooge\'s reflections in the City highlight his relationship with his past and the contrast of his current life.""Scrooge\'s relationship with The City is marked by detachment, representing his lost connection to his past self and experiences."', 'weight': 10.0, 'source_id': 'chunk-bb21d58d36c6306fd8810ddd51c4a971chunk-c6c248858d1b13ab7ee9ca13c1aeed6b'}> +2024-10-30 05:41:37,496 - lightrag - INFO - _check_edge_existence:query:MATCH (a:`DICK WILKINS`)-[r]-(b:`EBENEZER SCROOGE`) RETURN COUNT(r) > 0 AS edgeExists:result:True +2024-10-30 05:41:37,634 - lightrag - INFO - get_edge:query: + MATCH (source:`DICK WILKINS`)-[r]-(target:`EBENEZER SCROOGE`) + RETURN r + :result:, ) type='DIRECTED' properties={'keywords': '"nostalgia, past friendship"', 'description': '"Scrooge remembers Dick Wilkins fondly, showing a connection from their past as apprentices together."', 'weight': 8.0, 'source_id': 'chunk-8bc1edd983869352d14cf0886a9175a7'}> +2024-10-30 05:41:37,776 - lightrag - INFO - _check_edge_existence:query:MATCH (a:`EBENEZER SCROOGE`)-[r]-(b:`FEZZIWIG`) RETURN COUNT(r) > 0 AS edgeExists:result:True +2024-10-30 05:41:37,915 - lightrag - INFO - get_edge:query: + MATCH (source:`EBENEZER SCROOGE`)-[r]-(target:`FEZZIWIG`) + RETURN r + :result:, ) type='DIRECTED' properties={'keywords': '"mentorship, celebration""reflection, mentorship"', 'description': '"Fezziwig created a memorable and joyful atmosphere for Scrooge and his fellow apprentices during the celebration.""Scrooge reflects on his positive memories of Fezziwig, contributing to the theme of mentorship and joy in the past."', 'weight': 17.0, 'source_id': 'chunk-8bc1edd983869352d14cf0886a9175a7'}> +2024-10-30 05:41:38,059 - lightrag - INFO - _check_edge_existence:query:MATCH (a:`CHRISTMAS EVE`)-[r]-(b:`FEZZIWIG`) RETURN COUNT(r) > 0 AS edgeExists:result:True +2024-10-30 05:41:38,201 - lightrag - INFO - get_edge:query: + MATCH (source:`CHRISTMAS EVE`)-[r]-(target:`FEZZIWIG`) + RETURN r + :result:, ) type='DIRECTED' properties={'keywords': '"event significance, festivity"', 'description': '"Fezziwig\'s celebrations take place on Christmas Eve, highlighting the special significance of this event."', 'weight': 10.0, 'source_id': 'chunk-8bc1edd983869352d14cf0886a9175a7'}> +2024-10-30 05:41:38,348 - lightrag - INFO - _check_edge_existence:query:MATCH (a:`FEZZIWIG`)-[r]-(b:`MRS. FEZZIWIG`) RETURN COUNT(r) > 0 AS edgeExists:result:True +2024-10-30 05:41:38,490 - lightrag - INFO - get_edge:query: + MATCH (source:`FEZZIWIG`)-[r]-(target:`MRS. FEZZIWIG`) + RETURN r + :result:, ) type='DIRECTED' properties={'keywords': '"festivity, companionship""partnership, celebration"', 'description': '"Fezziwig and Mrs. Fezziwig dance together, showcasing their joyful relationship and the spirit of togetherness during Christmas.""Fezziwig and Mrs. Fezziwig work together to create a festive and welcoming environment during the domestic ball.""Mrs. Fezziwig partners with Fezziwig in the festivities, highlighting their companionship during the celebrations."', 'weight': 25.0, 'source_id': 'chunk-b2f98bc7abb0c67d4c86055c7fd72218chunk-89777b838d5447c7bd1ec11282c4ee89chunk-8bc1edd983869352d14cf0886a9175a7'}> +2024-10-30 05:41:38,633 - lightrag - INFO - _check_edge_existence:query:MATCH (a:`FEZZIWIG`)-[r]-(b:`THE DANCERS`) RETURN COUNT(r) > 0 AS edgeExists:result:True +2024-10-30 05:41:38,769 - lightrag - INFO - get_edge:query: + MATCH (source:`FEZZIWIG`)-[r]-(target:`THE DANCERS`) + RETURN r + :result:, ) type='DIRECTED' properties={'keywords': '"celebration, community"', 'description': '"The Dancers participate in the lively celebrations orchestrated by Fezziwig, showcasing the joyous atmosphere of the event."', 'weight': 9.0, 'source_id': 'chunk-8bc1edd983869352d14cf0886a9175a7'}> +2024-10-30 05:41:38,912 - lightrag - INFO - _check_edge_existence:query:MATCH (a:`FEZZIWIG`)-[r]-(b:`THE FIDDLER`) RETURN COUNT(r) > 0 AS edgeExists:result:True +2024-10-30 05:41:39,050 - lightrag - INFO - get_edge:query: + MATCH (source:`FEZZIWIG`)-[r]-(target:`THE FIDDLER`) + RETURN r + :result:, ) type='DIRECTED' properties={'keywords': '"musical contribution, festive atmosphere"', 'description': '"The Fiddler provides music for the dance, playing a crucial role in enhancing the festive atmosphere created by Fezziwig."', 'weight': 9.0, 'source_id': 'chunk-8bc1edd983869352d14cf0886a9175a7'}> +2024-10-30 05:41:39,195 - lightrag - INFO - _check_edge_existence:query:MATCH (a:`THE THREE MISS FEZZIWIGS`)-[r]-(b:`THE YOUNG FOLLOWERS`) RETURN COUNT(r) > 0 AS edgeExists:result:True +2024-10-30 05:41:39,333 - lightrag - INFO - get_edge:query: + MATCH (source:`THE THREE MISS FEZZIWIGS`)-[r]-(target:`THE YOUNG FOLLOWERS`) + RETURN r + :result:, ) type='DIRECTED' properties={'keywords': '"community, interactions"', 'description': '"The Three Miss Fezziwigs interact with the Young Followers during the dance, highlighting the communal joy of the celebration."', 'weight': 8.0, 'source_id': 'chunk-8bc1edd983869352d14cf0886a9175a7'}> +2024-10-30 05:41:39,480 - lightrag - INFO - _check_edge_existence:query:MATCH (a:`THE COOK`)-[r]-(b:`THE HOUSEMAID`) RETURN COUNT(r) > 0 AS edgeExists:result:True +2024-10-30 05:41:39,618 - lightrag - INFO - get_edge:query: + MATCH (source:`THE COOK`)-[r]-(target:`THE HOUSEMAID`) + RETURN r + :result:, ) type='DIRECTED' properties={'keywords': '"inclusion, participation"', 'description': '"The Housemaid and The Cook are both present at Fezziwig\'s celebration, participating in the festivities and showcasing the inclusive environment."', 'weight': 7.0, 'source_id': 'chunk-8bc1edd983869352d14cf0886a9175a7'}> +2024-10-30 05:41:39,763 - lightrag - INFO - _check_edge_existence:query:MATCH (a:`THE BOY FROM OVER THE WAY`)-[r]-(b:`THE GIRL FROM NEXT DOOR`) RETURN COUNT(r) > 0 AS edgeExists:result:True +2024-10-30 05:41:39,918 - lightrag - INFO - get_edge:query: + MATCH (source:`THE BOY FROM OVER THE WAY`)-[r]-(target:`THE GIRL FROM NEXT DOOR`) + RETURN r + :result:, ) type='DIRECTED' properties={'keywords': '"youthful antics, dynamics"', 'description': '"The Boy\'s attempts to hide from The Girl demonstrate the youthful interactions and dynamics during the festive event."', 'weight': 6.0, 'source_id': 'chunk-8bc1edd983869352d14cf0886a9175a7'}> +2024-10-30 05:41:40,081 - lightrag - INFO - _check_edge_existence:query:MATCH (a:`SCROOGE`)-[r]-(b:`THE GHOST OF CHRISTMAS PAST`) RETURN COUNT(r) > 0 AS edgeExists:result:True +2024-10-30 05:41:40,224 - lightrag - INFO - get_edge:query: + MATCH (source:`SCROOGE`)-[r]-(target:`THE GHOST OF CHRISTMAS PAST`) + RETURN r + :result:, ) type='DIRECTED' properties={'keywords': '"introspection, memory"', 'description': '"The Ghost of Christmas Past guides Scrooge through recollections, prompting his introspection about his former self and choices."', 'weight': 10.0, 'source_id': 'chunk-b2f98bc7abb0c67d4c86055c7fd72218'}> +2024-10-30 05:41:40,387 - lightrag - INFO - _check_edge_existence:query:MATCH (a:`FEZZIWIG`)-[r]-(b:`THE DOMESTIC BALL`) RETURN COUNT(r) > 0 AS edgeExists:result:True +2024-10-30 05:41:40,526 - lightrag - INFO - get_edge:query: + MATCH (source:`FEZZIWIG`)-[r]-(target:`THE DOMESTIC BALL`) + RETURN r + :result:, ) type='DIRECTED' properties={'keywords': '"event organization, joy"', 'description': '"Fezziwig organizes the Domestic Ball, showcasing his ability to create joy and camaraderie among guests."', 'weight': 10.0, 'source_id': 'chunk-b2f98bc7abb0c67d4c86055c7fd72218'}> +2024-10-30 05:41:40,682 - lightrag - INFO - _check_edge_existence:query:MATCH (a:`DICK`)-[r]-(b:`SCROOGE`) RETURN COUNT(r) > 0 AS edgeExists:result:True +2024-10-30 05:41:40,825 - lightrag - INFO - get_edge:query: + MATCH (source:`DICK`)-[r]-(target:`SCROOGE`) + RETURN r + :result:, ) type='DIRECTED' properties={'keywords': '"nostalgia, friendship"', 'description': '"Scrooge remembers Dick as a part of his past, highlighting their shared experiences during happier times."', 'weight': 7.0, 'source_id': 'chunk-b2f98bc7abb0c67d4c86055c7fd72218'}> +2024-10-30 05:41:40,969 - lightrag - INFO - _check_edge_existence:query:MATCH (a:`FEZZIWIG`)-[r]-(b:`THE TWO APPRENTICES`) RETURN COUNT(r) > 0 AS edgeExists:result:True +2024-10-30 05:41:41,106 - lightrag - INFO - get_edge:query: + MATCH (source:`FEZZIWIG`)-[r]-(target:`THE TWO APPRENTICES`) + RETURN r + :result:, ) type='DIRECTED' properties={'keywords': '"gratitude, mentorship"', 'description': '"Fezziwig inspires deep gratitude and respect from his apprentices, who appreciate his kindness during their interactions at the ball."', 'weight': 8.0, 'source_id': 'chunk-b2f98bc7abb0c67d4c86055c7fd72218'}> +2024-10-30 05:41:41,248 - lightrag - INFO - _check_edge_existence:query:MATCH (a:`SCROOGE`)-[r]-(b:`THE GOLDEN IDOL`) RETURN COUNT(r) > 0 AS edgeExists:result:True +2024-10-30 05:41:41,391 - lightrag - INFO - get_edge:query: + MATCH (source:`SCROOGE`)-[r]-(target:`THE GOLDEN IDOL`) + RETURN r + :result:, ) type='DIRECTED' properties={'keywords': '"materialism, lost connections"', 'description': '"The Golden Idol represents the materialistic pursuits that have displaced meaningful connections in Scrooge\'s life."', 'weight': 10.0, 'source_id': 'chunk-b2f98bc7abb0c67d4c86055c7fd72218'}> +2024-10-30 05:41:41,543 - lightrag - INFO - _check_edge_existence:query:MATCH (a:`SCROOGE`)-[r]-(b:`THE MOURNING DRESS`) RETURN COUNT(r) > 0 AS edgeExists:result:True +2024-10-30 05:41:41,682 - lightrag - INFO - get_edge:query: + MATCH (source:`SCROOGE`)-[r]-(target:`THE MOURNING DRESS`) + RETURN r + :result:, ) type='DIRECTED' properties={'keywords': '"loss, emotional distance"', 'description': '"The Mourning Dress symbolizes Scrooge\'s unfulfilled relationships and the emotional consequences of his choices."', 'weight': 8.0, 'source_id': 'chunk-b2f98bc7abb0c67d4c86055c7fd72218'}> +2024-10-30 05:41:41,823 - lightrag - INFO - _check_edge_existence:query:MATCH (a:`SCROOGE`)-[r]-(b:`THE PRIME OF LIFE`) RETURN COUNT(r) > 0 AS edgeExists:result:True +2024-10-30 05:41:41,961 - lightrag - INFO - get_edge:query: + MATCH (source:`SCROOGE`)-[r]-(target:`THE PRIME OF LIFE`) + RETURN r + :result:, ) type='DIRECTED' properties={'keywords': '"reflection, life choices"', 'description': '"Scrooge reflects on his Prime of Life, contrasting it with his current state and the sacrifices he has made for wealth."', 'weight': 9.0, 'source_id': 'chunk-b2f98bc7abb0c67d4c86055c7fd72218'}> +2024-10-30 05:41:42,103 - lightrag - INFO - _check_edge_existence:query:MATCH (a:`SCROOGE`)-[r]-(b:`THE BEAUTIFUL YOUNG GIRL`) RETURN COUNT(r) > 0 AS edgeExists:result:True +2024-10-30 05:41:42,242 - lightrag - INFO - get_edge:query: + MATCH (source:`SCROOGE`)-[r]-(target:`THE BEAUTIFUL YOUNG GIRL`) + RETURN r + :result:, ) type='DIRECTED' properties={'keywords': '"nostalgia, lost love"', 'description': '"Scrooge reflects on his past relationship with the young girl, which holds significance in understanding his character\'s regrets."', 'weight': 8.0, 'source_id': 'chunk-54bdd22db1f84a965b5f4c06c9216d8d'}> +2024-10-30 05:41:42,389 - lightrag - INFO - _check_edge_existence:query:MATCH (a:`THE BEAUTIFUL YOUNG GIRL`)-[r]-(b:`THE COMELY MATRON`) RETURN COUNT(r) > 0 AS edgeExists:result:True +2024-10-30 05:41:42,531 - lightrag - INFO - get_edge:query: + MATCH (source:`THE BEAUTIFUL YOUNG GIRL`)-[r]-(target:`THE COMELY MATRON`) + RETURN r + :result:, ) type='DIRECTED' properties={'keywords': '"change, passage of time"', 'description': '"The Beautiful Young Girl evolves into The Comely Matron, representing the effects of time and choices made."', 'weight': 7.0, 'source_id': 'chunk-54bdd22db1f84a965b5f4c06c9216d8d'}> +2024-10-30 05:41:42,671 - lightrag - INFO - _check_edge_existence:query:MATCH (a:`THE CHILDREN`)-[r]-(b:`THE COMELY MATRON`) RETURN COUNT(r) > 0 AS edgeExists:result:True +2024-10-30 05:41:42,806 - lightrag - INFO - get_edge:query: + MATCH (source:`THE CHILDREN`)-[r]-(target:`THE COMELY MATRON`) + RETURN r + :result:, ) type='DIRECTED' properties={'keywords': '"family bonds, joy"', 'description': '"The Comely Matron fosters a lively environment with The Children, highlighting familial love and joy."', 'weight': 8.0, 'source_id': 'chunk-54bdd22db1f84a965b5f4c06c9216d8d'}> +2024-10-30 05:41:42,950 - lightrag - INFO - _check_edge_existence:query:MATCH (a:`THE CHILDREN`)-[r]-(b:`THE FATHER`) RETURN COUNT(r) > 0 AS edgeExists:result:True +2024-10-30 05:41:43,088 - lightrag - INFO - get_edge:query: + MATCH (source:`THE CHILDREN`)-[r]-(target:`THE FATHER`) + RETURN r + :result:, ) type='DIRECTED' properties={'keywords': '"familial joy, celebration"', 'description': '"The Father engages with the children, highlighting familial bonds and the excitement of Christmas celebrations."', 'weight': 8.0, 'source_id': 'chunk-da2472b4ef2a535b62908f14d0fb0ca9'}> +2024-10-30 05:41:43,230 - lightrag - INFO - _check_edge_existence:query:MATCH (a:`SCROOGE`)-[r]-(b:`THE DOWERLESS GIRL`) RETURN COUNT(r) > 0 AS edgeExists:result:True +2024-10-30 05:41:43,364 - lightrag - INFO - get_edge:query: + MATCH (source:`SCROOGE`)-[r]-(target:`THE DOWERLESS GIRL`) + RETURN r + :result:, ) type='DIRECTED' properties={'keywords': '"social constraints, regret"', 'description': '"Scrooge\'s reflections on the dowerless girl highlight the social constraints influencing his choices and feelings of regret."', 'weight': 6.0, 'source_id': 'chunk-54bdd22db1f84a965b5f4c06c9216d8d'}> +2024-10-30 05:41:43,522 - lightrag - INFO - _check_edge_existence:query:MATCH (a:`SCROOGE`)-[r]-(b:`THE MEMORY`) RETURN COUNT(r) > 0 AS edgeExists:result:True +2024-10-30 05:41:43,664 - lightrag - INFO - get_edge:query: + MATCH (source:`SCROOGE`)-[r]-(target:`THE MEMORY`) + RETURN r + :result:, ) type='DIRECTED' properties={'keywords': '"reflection, impact of past"', 'description': '"Scrooge\'s memories play a crucial role in shaping his perspective on love and happiness as he confronts his past."', 'weight': 8.0, 'source_id': 'chunk-54bdd22db1f84a965b5f4c06c9216d8d'}> +2024-10-30 05:41:43,808 - lightrag - INFO - _check_edge_existence:query:MATCH (a:`THE FATHER`)-[r]-(b:`THE WINTER FIRE`) RETURN COUNT(r) > 0 AS edgeExists:result:True +2024-10-30 05:41:43,946 - lightrag - INFO - get_edge:query: + MATCH (source:`THE FATHER`)-[r]-(target:`THE WINTER FIRE`) + RETURN r + :result:, ) type='DIRECTED' properties={'keywords': '"family reunion, warmth"', 'description': '"The Father\'s return to The Winter Fire represents the reunion of family and the warmth of home during the holiday season."', 'weight': 9.0, 'source_id': 'chunk-54bdd22db1f84a965b5f4c06c9216d8d'}> +2024-10-30 05:41:44,088 - lightrag - INFO - _check_edge_existence:query:MATCH (a:`HAPPINESS`)-[r]-(b:`THE BEAUTIFUL YOUNG GIRL`) RETURN COUNT(r) > 0 AS edgeExists:result:True +2024-10-30 05:41:44,223 - lightrag - INFO - get_edge:query: + MATCH (source:`HAPPINESS`)-[r]-(target:`THE BEAUTIFUL YOUNG GIRL`) + RETURN r + :result:, ) type='DIRECTED' properties={'keywords': '"lost happiness, longing"', 'description': '"The Beautiful Young Girl embodies the happiness that Scrooge once sought and now feels he has lost."', 'weight': 7.0, 'source_id': 'chunk-54bdd22db1f84a965b5f4c06c9216d8d'}> +2024-10-30 05:41:44,364 - lightrag - INFO - _check_edge_existence:query:MATCH (a:`HOPE`)-[r]-(b:`THE COMELY MATRON`) RETURN COUNT(r) > 0 AS edgeExists:result:True +2024-10-30 05:41:44,511 - lightrag - INFO - get_edge:query: + MATCH (source:`HOPE`)-[r]-(target:`THE COMELY MATRON`) + RETURN r + :result:, ) type='DIRECTED' properties={'keywords': '"hope, family love"', 'description': '"The Comely Matron represents the hope for a joyful and fulfilling family life, enhancing the themes of love and connection."', 'weight': 8.0, 'source_id': 'chunk-54bdd22db1f84a965b5f4c06c9216d8d'}> +2024-10-30 05:41:44,655 - lightrag - INFO - _check_edge_existence:query:MATCH (a:`THE COMELY MATRON`)-[r]-(b:`THE YOUNG BRIGANDS`) RETURN COUNT(r) > 0 AS edgeExists:result:True +2024-10-30 05:41:44,794 - lightrag - INFO - get_edge:query: + MATCH (source:`THE COMELY MATRON`)-[r]-(target:`THE YOUNG BRIGANDS`) + RETURN r + :result:, ) type='DIRECTED' properties={'keywords': '"chaos, joy of childhood"', 'description': '"The Comely Matron encourages the Young Brigands\' playfulness, highlighting the joy and chaos of family life."', 'weight': 7.0, 'source_id': 'chunk-54bdd22db1f84a965b5f4c06c9216d8d'}> +2024-10-30 05:41:44,935 - lightrag - INFO - _check_edge_existence:query:MATCH (a:`BELLE`)-[r]-(b:`SCROOGE`) RETURN COUNT(r) > 0 AS edgeExists:result:True +2024-10-30 05:41:45,070 - lightrag - INFO - get_edge:query: + MATCH (source:`BELLE`)-[r]-(target:`SCROOGE`) + RETURN r + :result:, ) type='DIRECTED' properties={'keywords': '"lost love, regret"', 'description': '"Scrooge reflects on his lost relationship with Belle, highlighting his feelings of regret and emotional pain."', 'weight': 8.0, 'source_id': 'chunk-da2472b4ef2a535b62908f14d0fb0ca9'}> +2024-10-30 05:41:45,218 - lightrag - INFO - _check_edge_existence:query:MATCH (a:`CHRISTMAS`)-[r]-(b:`THE SPIRIT`) RETURN COUNT(r) > 0 AS edgeExists:result:True +2024-10-30 05:41:45,355 - lightrag - INFO - get_edge:query: + MATCH (source:`CHRISTMAS`)-[r]-(target:`THE SPIRIT`) + RETURN r + :result:, ) type='DIRECTED' properties={'keywords': '"holiday spirit, compassion""seasonal influence, moral reflection"', 'description': '"The Spirit connects various scenes to the theme of Christmas, emphasizing its impact on individuals’ attitudes and behaviors.""The Spirit\'s appearances highlight the themes of Christmas and the importance of compassion and community."', 'weight': 17.0, 'source_id': 'chunk-91614df5cb74cbe5e109a338a82041e9chunk-da2472b4ef2a535b62908f14d0fb0ca9'}> +2024-10-30 05:41:45,500 - lightrag - INFO - _check_edge_existence:query:MATCH (a:`SCROOGE`)-[r]-(b:`THE OFFICE`) RETURN COUNT(r) > 0 AS edgeExists:result:True +2024-10-30 05:41:45,639 - lightrag - INFO - get_edge:query: + MATCH (source:`SCROOGE`)-[r]-(target:`THE OFFICE`) + RETURN r + :result:, ) type='DIRECTED' properties={'keywords': '"isolation, work ethic"', 'description': '"Scrooge\'s office reflects his solitary and business-driven life, showcasing his disconnection from familial and social ties."', 'weight': 6.0, 'source_id': 'chunk-da2472b4ef2a535b62908f14d0fb0ca9'}> +2024-10-30 05:41:45,779 - lightrag - INFO - _check_edge_existence:query:MATCH (a:`THE FATHER`)-[r]-(b:`THE MOTHER`) RETURN COUNT(r) > 0 AS edgeExists:result:True +2024-10-30 05:41:45,918 - lightrag - INFO - get_edge:query: + MATCH (source:`THE FATHER`)-[r]-(target:`THE MOTHER`) + RETURN r + :result:, ) type='DIRECTED' properties={'keywords': '"family dynamics, togetherness"', 'description': '"The Mother and Father are depicted together, emphasizing family dynamics during the festive occasion."', 'weight': 6.0, 'source_id': 'chunk-da2472b4ef2a535b62908f14d0fb0ca9'}> +2024-10-30 05:41:46,061 - lightrag - INFO - _check_edge_existence:query:MATCH (a:`THE BABY`)-[r]-(b:`THE CHILDREN`) RETURN COUNT(r) > 0 AS edgeExists:result:True +2024-10-30 05:41:46,199 - lightrag - INFO - get_edge:query: + MATCH (source:`THE BABY`)-[r]-(target:`THE CHILDREN`) + RETURN r + :result:, ) type='DIRECTED' properties={'keywords': '"playfulness, innocence"', 'description': '"The Children interact with The Baby in a playful manner, illustrating the innocence of youth during Christmas."', 'weight': 6.0, 'source_id': 'chunk-da2472b4ef2a535b62908f14d0fb0ca9'}> +2024-10-30 05:41:46,341 - lightrag - INFO - _check_edge_existence:query:MATCH (a:`THE CHILDREN`)-[r]-(b:`THE PORTER`) RETURN COUNT(r) > 0 AS edgeExists:result:True +2024-10-30 05:41:46,482 - lightrag - INFO - get_edge:query: + MATCH (source:`THE CHILDREN`)-[r]-(target:`THE PORTER`) + RETURN r + :result:, ) type='DIRECTED' properties={'keywords': '"playfulness, joy"', 'description': '"The Children playfully interact with the Porter, creating a scene of joyous chaos and affection."', 'weight': 9.0, 'source_id': 'chunk-da2472b4ef2a535b62908f14d0fb0ca9'}> +2024-10-30 05:41:46,627 - lightrag - INFO - _check_edge_existence:query:MATCH (a:`THE CHILDREN`)-[r]-(b:`THE MOTHER`) RETURN COUNT(r) > 0 AS edgeExists:result:True +2024-10-30 05:41:46,769 - lightrag - INFO - get_edge:query: + MATCH (source:`THE CHILDREN`)-[r]-(target:`THE MOTHER`) + RETURN r + :result:, ) type='DIRECTED' properties={'keywords': '"family care, joy"', 'description': '"The Mother facilitates the family celebrations, ensuring that her children experience joy during Christmas."', 'weight': 7.0, 'source_id': 'chunk-da2472b4ef2a535b62908f14d0fb0ca9'}> +2024-10-30 05:41:46,917 - lightrag - INFO - _check_edge_existence:query:MATCH (a:`HOME`)-[r]-(b:`THE MOTHER`) RETURN COUNT(r) > 0 AS edgeExists:result:True +2024-10-30 05:41:47,059 - lightrag - INFO - get_edge:query: + MATCH (source:`HOME`)-[r]-(target:`THE MOTHER`) + RETURN r + :result:, ) type='DIRECTED' properties={'keywords': '"family unity, celebration"', 'description': '"Home is where The Mother organizes the family Christmas celebration, serving as the heart of their togetherness."', 'weight': 9.0, 'source_id': 'chunk-da2472b4ef2a535b62908f14d0fb0ca9'}> +2024-10-30 05:41:47,201 - lightrag - INFO - _check_edge_existence:query:MATCH (a:`GHOST OF CHRISTMAS PRESENT`)-[r]-(b:`HOLLY`) RETURN COUNT(r) > 0 AS edgeExists:result:True +2024-10-30 05:41:47,338 - lightrag - INFO - get_edge:query: + MATCH (source:`GHOST OF CHRISTMAS PRESENT`)-[r]-(target:`HOLLY`) + RETURN r + :result:, ) type='DIRECTED' properties={'keywords': '"festive spirit, symbolism"', 'description': '"Holly is part of the Ghost\'s attire, reinforcing the themes of joy and celebration during Christmas."', 'weight': 9.0, 'source_id': 'chunk-843b5b2f944c7413d9ca876e2e2f151f'}> +2024-10-30 05:41:47,482 - lightrag - INFO - _check_edge_existence:query:MATCH (a:`GHOST OF CHRISTMAS PRESENT`)-[r]-(b:`MISTLETOE`) RETURN COUNT(r) > 0 AS edgeExists:result:True +2024-10-30 05:41:47,625 - lightrag - INFO - get_edge:query: + MATCH (source:`GHOST OF CHRISTMAS PRESENT`)-[r]-(target:`MISTLETOE`) + RETURN r + :result:, ) type='DIRECTED' properties={'keywords': '"tradition, symbolism"', 'description': '"The Spirit’s presence is enhanced by Mistletoe, a traditional decoration symbolizing love and goodwill."', 'weight': 7.0, 'source_id': 'chunk-843b5b2f944c7413d9ca876e2e2f151f'}> +2024-10-30 05:41:47,767 - lightrag - INFO - _check_edge_existence:query:MATCH (a:`GHOST OF CHRISTMAS PRESENT`)-[r]-(b:`RED BERRIES`) RETURN COUNT(r) > 0 AS edgeExists:result:True +2024-10-30 05:41:47,906 - lightrag - INFO - get_edge:query: + MATCH (source:`GHOST OF CHRISTMAS PRESENT`)-[r]-(target:`RED BERRIES`) + RETURN r + :result:, ) type='DIRECTED' properties={'keywords': '"festivity, abundance"', 'description': '"The Ghost is surrounded by Red Berries, reinforcing the imagery of Christmas abundance and decoration."', 'weight': 7.0, 'source_id': 'chunk-843b5b2f944c7413d9ca876e2e2f151f'}> +2024-10-30 05:41:48,050 - lightrag - INFO - _check_edge_existence:query:MATCH (a:`GHOST OF CHRISTMAS PRESENT`)-[r]-(b:`TURKEYS`) RETURN COUNT(r) > 0 AS edgeExists:result:True +2024-10-30 05:41:48,187 - lightrag - INFO - get_edge:query: + MATCH (source:`GHOST OF CHRISTMAS PRESENT`)-[r]-(target:`TURKEYS`) + RETURN r + :result:, ) type='DIRECTED' properties={'keywords': '"feasting, abundance"', 'description': '"The Ghost highlights the presence of Turkeys at the feast, emphasizing the spirit of generosity during Christmas."', 'weight': 8.0, 'source_id': 'chunk-843b5b2f944c7413d9ca876e2e2f151f'}> +2024-10-30 05:41:48,329 - lightrag - INFO - _check_edge_existence:query:MATCH (a:`GHOST OF CHRISTMAS PRESENT`)-[r]-(b:`POULTRY`) RETURN COUNT(r) > 0 AS edgeExists:result:True +2024-10-30 05:41:48,467 - lightrag - INFO - get_edge:query: + MATCH (source:`GHOST OF CHRISTMAS PRESENT`)-[r]-(target:`POULTRY`) + RETURN r + :result:, ) type='DIRECTED' properties={'keywords': '"feast, tradition"', 'description': '"The Ghost presents Poultry as part of the Christmas spread, highlighting the traditional meals associated with the holiday."', 'weight': 8.0, 'source_id': 'chunk-843b5b2f944c7413d9ca876e2e2f151f'}> +2024-10-30 05:41:48,612 - lightrag - INFO - _check_edge_existence:query:MATCH (a:`GHOST OF CHRISTMAS PRESENT`)-[r]-(b:`MEAT`) RETURN COUNT(r) > 0 AS edgeExists:result:True +2024-10-30 05:41:48,749 - lightrag - INFO - get_edge:query: + MATCH (source:`GHOST OF CHRISTMAS PRESENT`)-[r]-(target:`MEAT`) + RETURN r + :result:, ) type='DIRECTED' properties={'keywords': '"abundance, generosity"', 'description': '"The included Meat within the Ghost\'s feast symbolizes abundance and the spirit of generosity during Christmas."', 'weight': 8.0, 'source_id': 'chunk-843b5b2f944c7413d9ca876e2e2f151f'}> +2024-10-30 05:41:48,892 - lightrag - INFO - _check_edge_existence:query:MATCH (a:`GHOST OF CHRISTMAS PRESENT`)-[r]-(b:`SAUSAGES`) RETURN COUNT(r) > 0 AS edgeExists:result:True +2024-10-30 05:41:49,035 - lightrag - INFO - get_edge:query: + MATCH (source:`GHOST OF CHRISTMAS PRESENT`)-[r]-(target:`SAUSAGES`) + RETURN r + :result:, ) type='DIRECTED' properties={'keywords': '"celebration, abundance"', 'description': '"Sausages contribute to the lavish spread, symbolizing the abundance of the Christmas feast."', 'weight': 7.0, 'source_id': 'chunk-843b5b2f944c7413d9ca876e2e2f151f'}> +2024-10-30 05:41:49,178 - lightrag - INFO - _check_edge_existence:query:MATCH (a:`GHOST OF CHRISTMAS PRESENT`)-[r]-(b:`OYSTERS`) RETURN COUNT(r) > 0 AS edgeExists:result:True +2024-10-30 05:41:49,320 - lightrag - INFO - get_edge:query: + MATCH (source:`GHOST OF CHRISTMAS PRESENT`)-[r]-(target:`OYSTERS`) + RETURN r + :result:, ) type='DIRECTED' properties={'keywords': '"luxury, celebration"', 'description': '"The inclusion of Oysters in the Christmas feast illustrates the luxury and indulgence during festive celebrations."', 'weight': 8.0, 'source_id': 'chunk-843b5b2f944c7413d9ca876e2e2f151f'}> +2024-10-30 05:41:49,466 - lightrag - INFO - _check_edge_existence:query:MATCH (a:`GHOST OF CHRISTMAS PRESENT`)-[r]-(b:`PIES`) RETURN COUNT(r) > 0 AS edgeExists:result:True +2024-10-30 05:41:49,603 - lightrag - INFO - get_edge:query: + MATCH (source:`GHOST OF CHRISTMAS PRESENT`)-[r]-(target:`PIES`) + RETURN r + :result:, ) type='DIRECTED' properties={'keywords': '"tradition, dessert"', 'description': '"Pies presented by the Ghost highlight the traditions of holiday desserts shared among families."', 'weight': 8.0, 'source_id': 'chunk-843b5b2f944c7413d9ca876e2e2f151f'}> +2024-10-30 05:41:49,752 - lightrag - INFO - _check_edge_existence:query:MATCH (a:`GHOST OF CHRISTMAS PRESENT`)-[r]-(b:`PUDDINGS`) RETURN COUNT(r) > 0 AS edgeExists:result:True +2024-10-30 05:41:49,897 - lightrag - INFO - get_edge:query: + MATCH (source:`GHOST OF CHRISTMAS PRESENT`)-[r]-(target:`PUDDINGS`) + RETURN r + :result:, ) type='DIRECTED' properties={'keywords': '"warmth, comfort"', 'description': '"Puddings are part of the Ghost’s feast, embodying warmth and comfort during the Christmas season."', 'weight': 8.0, 'source_id': 'chunk-843b5b2f944c7413d9ca876e2e2f151f'}> +2024-10-30 05:41:50,038 - lightrag - INFO - _check_edge_existence:query:MATCH (a:`FRUIT`)-[r]-(b:`GHOST OF CHRISTMAS PRESENT`) RETURN COUNT(r) > 0 AS edgeExists:result:True +2024-10-30 05:41:50,173 - lightrag - INFO - get_edge:query: + MATCH (source:`FRUIT`)-[r]-(target:`GHOST OF CHRISTMAS PRESENT`) + RETURN r + :result:, ) type='DIRECTED' properties={'keywords': '"sharing, abundance"', 'description': '"Fruit served by the Ghost reinforces the joy of sharing and the abundance of the Christmas season."', 'weight': 8.0, 'source_id': 'chunk-843b5b2f944c7413d9ca876e2e2f151f'}> +2024-10-30 05:41:50,315 - lightrag - INFO - _check_edge_existence:query:MATCH (a:`GHOST OF CHRISTMAS PRESENT`)-[r]-(b:`PUNCH`) RETURN COUNT(r) > 0 AS edgeExists:result:True +2024-10-30 05:41:50,456 - lightrag - INFO - get_edge:query: + MATCH (source:`GHOST OF CHRISTMAS PRESENT`)-[r]-(target:`PUNCH`) + RETURN r + :result:, ) type='DIRECTED' properties={'keywords': '"celebration, festivity"', 'description': '"Punch serves as a festive drink shared during Christmas, enhancing the celebratory atmosphere."', 'weight': 8.0, 'source_id': 'chunk-843b5b2f944c7413d9ca876e2e2f151f'}> +2024-10-30 05:41:50,599 - lightrag - INFO - _check_edge_existence:query:MATCH (a:`ANTIQUE SCABBARD`)-[r]-(b:`GHOST OF CHRISTMAS PRESENT`) RETURN COUNT(r) > 0 AS edgeExists:result:True +2024-10-30 05:41:50,742 - lightrag - INFO - get_edge:query: + MATCH (source:`ANTIQUE SCABBARD`)-[r]-(target:`GHOST OF CHRISTMAS PRESENT`) + RETURN r + :result:, ) type='DIRECTED' properties={'keywords': '"history, guardianship"', 'description': '"The Antique Scabbard worn by the Spirit symbolizes history and the guardianship of Christmas traditions."', 'weight': 7.0, 'source_id': 'chunk-843b5b2f944c7413d9ca876e2e2f151f'}> +2024-10-30 05:41:50,883 - lightrag - INFO - _check_edge_existence:query:MATCH (a:`CHRISTMAS`)-[r]-(b:`GROCERS'`) RETURN COUNT(r) > 0 AS edgeExists:result:True +2024-10-30 05:41:51,020 - lightrag - INFO - get_edge:query: + MATCH (source:`CHRISTMAS`)-[r]-(target:`GROCERS'`) + RETURN r + :result:, ) type='DIRECTED' properties={'keywords': '"retail, festive celebration"', 'description': '"The Grocers\' organization plays a crucial role during Christmas by providing goods that contribute to the festive spirit."', 'weight': 8.0, 'source_id': 'chunk-99b0ec7f7e006561352b5d65e849611d'}> +2024-10-30 05:41:51,162 - lightrag - INFO - _check_edge_existence:query:MATCH (a:`CHRISTMAS`)-[r]-(b:`PEOPLE`) RETURN COUNT(r) > 0 AS edgeExists:result:True +2024-10-30 05:41:51,297 - lightrag - INFO - get_edge:query: + MATCH (source:`CHRISTMAS`)-[r]-(target:`PEOPLE`) + RETURN r + :result:, ) type='DIRECTED' properties={'keywords': '"community celebration, joy"', 'description': '"The People are actively engaged in the celebration of Christmas, demonstrating joy and festivity despite the harsh weather conditions."', 'weight': 9.0, 'source_id': 'chunk-99b0ec7f7e006561352b5d65e849611d'}> +2024-10-30 05:41:51,444 - lightrag - INFO - _check_edge_existence:query:MATCH (a:`CHRISTMAS`)-[r]-(b:`GREAT BRITAIN`) RETURN COUNT(r) > 0 AS edgeExists:result:True +2024-10-30 05:41:51,583 - lightrag - INFO - get_edge:query: + MATCH (source:`CHRISTMAS`)-[r]-(target:`GREAT BRITAIN`) + RETURN r + :result:, ) type='DIRECTED' properties={'keywords': '"celebration, societal mood"', 'description': '"The celebration of Christmas brings a cheerful atmosphere to Great Britain despite the gloomy weather conditions."', 'weight': 7.0, 'source_id': 'chunk-99b0ec7f7e006561352b5d65e849611d'}> +2024-10-30 05:41:51,727 - lightrag - INFO - _check_edge_existence:query:MATCH (a:`SCROOGE`)-[r]-(b:`SPIRIT OF CHRISTMAS PRESENT`) RETURN COUNT(r) > 0 AS edgeExists:result:True +2024-10-30 05:41:51,867 - lightrag - INFO - get_edge:query: + MATCH (source:`SCROOGE`)-[r]-(target:`SPIRIT OF CHRISTMAS PRESENT`) + RETURN r + :result:, ) type='DIRECTED' properties={'keywords': '"transformation, generosity"', 'description': '"Scrooge interacts with the Spirit of Christmas Present, who shows him the joys of Christmas and the importance of generosity."', 'weight': 8.0, 'source_id': 'chunk-b0f459f5af1c3a5e0b92cbe4ee48b77b'}> +2024-10-30 05:41:52,013 - lightrag - INFO - _check_edge_existence:query:MATCH (a:`BOB CRATCHIT`)-[r]-(b:`SPIRIT OF CHRISTMAS PRESENT`) RETURN COUNT(r) > 0 AS edgeExists:result:True +2024-10-30 05:41:52,149 - lightrag - INFO - get_edge:query: + MATCH (source:`BOB CRATCHIT`)-[r]-(target:`SPIRIT OF CHRISTMAS PRESENT`) + RETURN r + :result:, ) type='DIRECTED' properties={'keywords': '"blessing, compassion"', 'description': '"The Spirit blesses Bob Cratchit’s dwelling, symbolizing the recognition of the Cratchit family\'s struggles and joys on Christmas Day."', 'weight': 9.0, 'source_id': 'chunk-b0f459f5af1c3a5e0b92cbe4ee48b77b'}> +2024-10-30 05:41:52,291 - lightrag - INFO - _check_edge_existence:query:MATCH (a:`BOB CRATCHIT`)-[r]-(b:`THE CRATCHIT HOUSEHOLD`) RETURN COUNT(r) > 0 AS edgeExists:result:True +2024-10-30 05:41:52,431 - lightrag - INFO - get_edge:query: + MATCH (source:`BOB CRATCHIT`)-[r]-(target:`THE CRATCHIT HOUSEHOLD`) + RETURN r + :result:, ) type='DIRECTED' properties={'keywords': '"family, support"', 'description': '"Bob Cratchit leads his family, representing resilience and love in the face of hardship, which is celebrated by the Spirit."', 'weight': 8.0, 'source_id': 'chunk-b0f459f5af1c3a5e0b92cbe4ee48b77b'}> +2024-10-30 05:41:52,575 - lightrag - INFO - _check_edge_existence:query:MATCH (a:`MRS. CRATCHIT`)-[r]-(b:`THE CRATCHIT HOUSEHOLD`) RETURN COUNT(r) > 0 AS edgeExists:result:True +2024-10-30 05:41:52,717 - lightrag - INFO - get_edge:query: + MATCH (source:`MRS. CRATCHIT`)-[r]-(target:`THE CRATCHIT HOUSEHOLD`) + RETURN r + :result:, ) type='DIRECTED' properties={'keywords': '"dedication, familial love"', 'description': '"Mrs. Cratchit contributes to the family’s efforts to celebrate Christmas, demonstrating dedication and caring."', 'weight': 7.0, 'source_id': 'chunk-b0f459f5af1c3a5e0b92cbe4ee48b77b'}> +2024-10-30 05:41:52,858 - lightrag - INFO - _check_edge_existence:query:MATCH (a:`BELINDA CRATCHIT`)-[r]-(b:`THE CRATCHIT HOUSEHOLD`) RETURN COUNT(r) > 0 AS edgeExists:result:True +2024-10-30 05:41:52,995 - lightrag - INFO - get_edge:query: + MATCH (source:`BELINDA CRATCHIT`)-[r]-(target:`THE CRATCHIT HOUSEHOLD`) + RETURN r + :result:, ) type='DIRECTED' properties={'keywords': '"cooperation, family bonds"', 'description': '"Belinda plays an active role in the household duties, reinforcing the theme of cooperation and togetherness."', 'weight': 6.0, 'source_id': 'chunk-b0f459f5af1c3a5e0b92cbe4ee48b77b'}> +2024-10-30 05:41:53,137 - lightrag - INFO - _check_edge_existence:query:MATCH (a:`MRS. CRATCHIT`)-[r]-(b:`PETER CRATCHIT`) RETURN COUNT(r) > 0 AS edgeExists:result:True +2024-10-30 05:41:53,280 - lightrag - INFO - get_edge:query: + MATCH (source:`MRS. CRATCHIT`)-[r]-(target:`PETER CRATCHIT`) + RETURN r + :result:, ) type='DIRECTED' properties={'keywords': '"family participation, dynamic"', 'description': '"Peter Cratchit assists his mother, reflecting the family dynamic and contribution of children during festive preparations."', 'weight': 7.0, 'source_id': 'chunk-b0f459f5af1c3a5e0b92cbe4ee48b77b'}> +2024-10-30 05:41:53,444 - lightrag - INFO - _check_edge_existence:query:MATCH (a:`THE GROCER`)-[r]-(b:`THE PEOPLE`) RETURN COUNT(r) > 0 AS edgeExists:result:True +2024-10-30 05:41:53,582 - lightrag - INFO - get_edge:query: + MATCH (source:`THE GROCER`)-[r]-(target:`THE PEOPLE`) + RETURN r + :result:, ) type='DIRECTED' properties={'keywords': '"community spirit, warmth"', 'description': '"The Grocer interacts warmly with The People, fostering a sense of community and celebration during Christmas."', 'weight': 8.0, 'source_id': 'chunk-b0f459f5af1c3a5e0b92cbe4ee48b77b'}> +2024-10-30 05:41:53,722 - lightrag - INFO - _check_edge_existence:query:MATCH (a:`THE CRATCHIT HOUSEHOLD`)-[r]-(b:`THE SPIRIT OF CHRISTMAS PRESENT`) RETURN COUNT(r) > 0 AS edgeExists:result:True +2024-10-30 05:41:53,858 - lightrag - INFO - get_edge:query: + MATCH (source:`THE CRATCHIT HOUSEHOLD`)-[r]-(target:`THE SPIRIT OF CHRISTMAS PRESENT`) + RETURN r + :result:, ) type='DIRECTED' properties={'keywords': '"observation, blessing"', 'description': '"The Spirit observes and blesses The Cratchit Household, showcasing the joy and struggles of families during Christmas."', 'weight': 9.0, 'source_id': 'chunk-b0f459f5af1c3a5e0b92cbe4ee48b77b'}> +2024-10-30 05:41:54,000 - lightrag - INFO - _check_edge_existence:query:MATCH (a:`THE BAKER'S SHOP`)-[r]-(b:`THE PEOPLE`) RETURN COUNT(r) > 0 AS edgeExists:result:True +2024-10-30 05:41:54,137 - lightrag - INFO - get_edge:query: + MATCH (source:`THE BAKER'S SHOP`)-[r]-(target:`THE PEOPLE`) + RETURN r + :result:, ) type='DIRECTED' properties={'keywords': '"community, gathering place"', 'description': '"The Baker\'s Shop serves as a gathering place for The People, symbolizing community and shared meals on Christmas Day."', 'weight': 7.0, 'source_id': 'chunk-b0f459f5af1c3a5e0b92cbe4ee48b77b'}> +2024-10-30 05:41:54,279 - lightrag - INFO - _check_edge_existence:query:MATCH (a:`THE SPIRIT OF CHRISTMAS PRESENT`)-[r]-(b:`THE STREETS`) RETURN COUNT(r) > 0 AS edgeExists:result:True +2024-10-30 05:41:54,417 - lightrag - INFO - get_edge:query: + MATCH (source:`THE SPIRIT OF CHRISTMAS PRESENT`)-[r]-(target:`THE STREETS`) + RETURN r + :result:, ) type='DIRECTED' properties={'keywords': '"guidance, social awareness"', 'description': '"The Spirit guides Scrooge through The Streets, revealing the festive nature and challenges faced by the townsfolk."', 'weight': 8.0, 'source_id': 'chunk-b0f459f5af1c3a5e0b92cbe4ee48b77b'}> +2024-10-30 05:41:54,565 - lightrag - INFO - _check_edge_existence:query:MATCH (a:`THE CRATCHIT HOUSEHOLD`)-[r]-(b:`THE SUBURBS`) RETURN COUNT(r) > 0 AS edgeExists:result:True +2024-10-30 05:41:54,719 - lightrag - INFO - get_edge:query: + MATCH (source:`THE CRATCHIT HOUSEHOLD`)-[r]-(target:`THE SUBURBS`) + RETURN r + :result:, ) type='DIRECTED' properties={'keywords': '"social commentary, inequality"', 'description': '"The Suburbs illustrate the challenges faced by families like The Cratchit Household, emphasizing social inequality."', 'weight': 6.0, 'source_id': 'chunk-b0f459f5af1c3a5e0b92cbe4ee48b77b'}> +2024-10-30 05:41:54,865 - lightrag - INFO - _check_edge_existence:query:MATCH (a:`DINNERS`)-[r]-(b:`THE CRATCHIT HOUSEHOLD`) RETURN COUNT(r) > 0 AS edgeExists:result:True +2024-10-30 05:41:55,007 - lightrag - INFO - get_edge:query: + MATCH (source:`DINNERS`)-[r]-(target:`THE CRATCHIT HOUSEHOLD`) + RETURN r + :result:, ) type='DIRECTED' properties={'keywords': '"togetherness, familial love"', 'description': '"The dinners prepared by The Cratchit Household signify love and togetherness, reflecting on the importance of family meals during the holidays."', 'weight': 8.0, 'source_id': 'chunk-b0f459f5af1c3a5e0b92cbe4ee48b77b'}> +2024-10-30 05:41:55,154 - lightrag - INFO - _check_edge_existence:query:MATCH (a:`BOB CRATCHIT`)-[r]-(b:`MARTHA`) RETURN COUNT(r) > 0 AS edgeExists:result:True +2024-10-30 05:41:55,296 - lightrag - INFO - get_edge:query: + MATCH (source:`BOB CRATCHIT`)-[r]-(target:`MARTHA`) + RETURN r + :result:, ) type='DIRECTED' properties={'keywords': '"family reunion, surprise"', 'description': '"Martha surprises Bob Cratchit by coming home late for Christmas dinner, showing the family\'s love and warmth in reunions."', 'weight': 8.0, 'source_id': 'chunk-7e2e7ebcc19a53b399dc03aded4743e7'}> +2024-10-30 05:41:55,444 - lightrag - INFO - _check_edge_existence:query:MATCH (a:`CRATCHIT CHRISTMAS DINNER`)-[r]-(b:`CRATCHIT FAMILY`) RETURN COUNT(r) > 0 AS edgeExists:result:True +2024-10-30 05:41:55,583 - lightrag - INFO - get_edge:query: + MATCH (source:`CRATCHIT CHRISTMAS DINNER`)-[r]-(target:`CRATCHIT FAMILY`) + RETURN r + :result:, ) type='DIRECTED' properties={'keywords': '"family celebration, togetherness"', 'description': '"The Cratchit Family comes together to celebrate Christmas dinner, encapsulating their unity and joyful spirit during the holiday season."', 'weight': 10.0, 'source_id': 'chunk-7e2e7ebcc19a53b399dc03aded4743e7'}> +2024-10-30 05:41:55,732 - lightrag - INFO - _check_edge_existence:query:MATCH (a:`CRATCHIT FAMILY`)-[r]-(b:`TINY TIM`) RETURN COUNT(r) > 0 AS edgeExists:result:True +2024-10-30 05:41:55,875 - lightrag - INFO - get_edge:query: + MATCH (source:`CRATCHIT FAMILY`)-[r]-(target:`TINY TIM`) + RETURN r + :result:, ) type='DIRECTED' properties={'keywords': '"family bond, celebration""family ties, innocence"', 'description': '"Tiny Tim\'s presence in the Cratchit family adds to their joy and highlights the family\'s spirit of togetherness during Christmas.""Tiny Tim, as part of the Cratchit Family, represents the innocence and vulnerability of the family, affecting their dynamics during Christmas."', 'weight': 15.0, 'source_id': 'chunk-7e2e7ebcc19a53b399dc03aded4743e7chunk-19d72c57ae3408758b18d2568e86dc6b'}> +2024-10-30 05:41:56,016 - lightrag - INFO - _check_edge_existence:query:MATCH (a:`CRATCHIT CHRISTMAS DINNER`)-[r]-(b:`MRS. CRATCHIT`) RETURN COUNT(r) > 0 AS edgeExists:result:True +2024-10-30 05:41:56,153 - lightrag - INFO - get_edge:query: + MATCH (source:`CRATCHIT CHRISTMAS DINNER`)-[r]-(target:`MRS. CRATCHIT`) + RETURN r + :result:, ) type='DIRECTED' properties={'keywords': '"family dedication, celebration"', 'description': '"Mrs. Cratchit plays a vital role in organizing and preparing the Christmas dinner, showcasing her dedication to the family."', 'weight': 9.0, 'source_id': 'chunk-7e2e7ebcc19a53b399dc03aded4743e7'}> +2024-10-30 05:41:56,296 - lightrag - INFO - _check_edge_existence:query:MATCH (a:`CRATCHIT CHRISTMAS DINNER`)-[r]-(b:`THE GOOSE`) RETURN COUNT(r) > 0 AS edgeExists:result:True +2024-10-30 05:41:56,433 - lightrag - INFO - get_edge:query: + MATCH (source:`CRATCHIT CHRISTMAS DINNER`)-[r]-(target:`THE GOOSE`) + RETURN r + :result:, ) type='DIRECTED' properties={'keywords': '"central dish, festive tradition"', 'description': '"The Goose is the centerpiece of the Cratchit Christmas dinner, symbolizing the family\'s festive spirit and shared joy."', 'weight': 10.0, 'source_id': 'chunk-7e2e7ebcc19a53b399dc03aded4743e7'}> +2024-10-30 05:41:56,579 - lightrag - INFO - _check_edge_existence:query:MATCH (a:`THE YOUNG CRATCHITS`)-[r]-(b:`TINY TIM`) RETURN COUNT(r) > 0 AS edgeExists:result:True +2024-10-30 05:41:56,717 - lightrag - INFO - get_edge:query: + MATCH (source:`THE YOUNG CRATCHITS`)-[r]-(target:`TINY TIM`) + RETURN r + :result:, ) type='DIRECTED' properties={'keywords': '"sibling bond, family dynamics"', 'description': '"The Young Cratchits enthusiastically engage with Tiny Tim during the celebrations, highlighting the loving dynamics of the Cratchit family."', 'weight': 8.0, 'source_id': 'chunk-7e2e7ebcc19a53b399dc03aded4743e7'}> +2024-10-30 05:41:56,864 - lightrag - INFO - _check_edge_existence:query:MATCH (a:`THE FIRE`)-[r]-(b:`TINY TIM`) RETURN COUNT(r) > 0 AS edgeExists:result:True +2024-10-30 05:41:57,003 - lightrag - INFO - get_edge:query: + MATCH (source:`THE FIRE`)-[r]-(target:`TINY TIM`) + RETURN r + :result:, ) type='DIRECTED' properties={'keywords': '"warmth, family support"', 'description': '"Tiny Tim is seen being supported by the family at the warmth of the Fire, which adds comfort and cheer to their gathering."', 'weight': 8.0, 'source_id': 'chunk-7e2e7ebcc19a53b399dc03aded4743e7'}> +2024-10-30 05:41:57,142 - lightrag - INFO - _check_edge_existence:query:MATCH (a:`CRATCHIT CHRISTMAS DINNER`)-[r]-(b:`THE PUDDING`) RETURN COUNT(r) > 0 AS edgeExists:result:True +2024-10-30 05:41:57,283 - lightrag - INFO - get_edge:query: + MATCH (source:`CRATCHIT CHRISTMAS DINNER`)-[r]-(target:`THE PUDDING`) + RETURN r + :result:, ) type='DIRECTED' properties={'keywords': '"traditional dish, celebration"', 'description': '"The Pudding is an important dish that signals the culmination of the Cratchit Christmas dinner, emphasizing the joy and festivity of the occasion."', 'weight': 9.0, 'source_id': 'chunk-7e2e7ebcc19a53b399dc03aded4743e7'}> +2024-10-30 05:41:57,428 - lightrag - INFO - _check_edge_existence:query:MATCH (a:`MRS. CRATCHIT`)-[r]-(b:`THE DINNER`) RETURN COUNT(r) > 0 AS edgeExists:result:True +2024-10-30 05:41:57,565 - lightrag - INFO - get_edge:query: + MATCH (source:`MRS. CRATCHIT`)-[r]-(target:`THE DINNER`) + RETURN r + :result:, ) type='DIRECTED' properties={'keywords': '"food preparation, holiday tradition"', 'description': '"Mrs. Cratchit prepares the dinner with pride, particularly the pudding, making it a highlight of the family\'s Christmas celebration."', 'weight': 9.0, 'source_id': 'chunk-503f0bfa5453467c7c61d160a3540eca'}> +2024-10-30 05:41:57,707 - lightrag - INFO - _check_edge_existence:query:MATCH (a:`THE CRATCHIT FAMILY`)-[r]-(b:`THE DINNER`) RETURN COUNT(r) > 0 AS edgeExists:result:True +2024-10-30 05:41:57,850 - lightrag - INFO - get_edge:query: + MATCH (source:`THE CRATCHIT FAMILY`)-[r]-(target:`THE DINNER`) + RETURN r + :result:, ) type='DIRECTED' properties={'keywords': '"family unity, celebration"', 'description': '"The Cratchit Family comes together for The Dinner, showcasing their unity and holiday spirit, despite their modest means."', 'weight': 10.0, 'source_id': 'chunk-503f0bfa5453467c7c61d160a3540eca'}> +2024-10-30 05:41:57,991 - lightrag - INFO - _check_edge_existence:query:MATCH (a:`SCROOGE`)-[r]-(b:`TINY TIM`) RETURN COUNT(r) > 0 AS edgeExists:result:True +2024-10-30 05:41:58,133 - lightrag - INFO - get_edge:query: + MATCH (source:`SCROOGE`)-[r]-(target:`TINY TIM`) + RETURN r + :result:, ) type='DIRECTED' properties={'keywords': '"personal transformation, empathy""transformation, mentorship""transformation, redemption"', 'description': '"Scrooge becomes a father figure to Tiny Tim, showing a deep commitment to his well-being after realizing the importance of family and caring for others.""Scrooge reflects on Tiny Tim and expresses concern for his wellbeing, indicating a pivotal change in his character and attitudes towards the less fortunate.""Scrooge\'s transformation is influenced by his reflections on the impact of Tiny Tim\'s life and death."', 'weight': 26.0, 'source_id': 'chunk-94bea83e7153fc2064aa382b494936a1chunk-503f0bfa5453467c7c61d160a3540ecachunk-91572b3cd42786ba4cb2f180ca25cbf4'}> +2024-10-30 05:41:58,274 - lightrag - INFO - _check_edge_existence:query:MATCH (a:`THE DINNER`)-[r]-(b:`THE GOOSE`) RETURN COUNT(r) > 0 AS edgeExists:result:True +2024-10-30 05:41:58,410 - lightrag - INFO - get_edge:query: + MATCH (source:`THE DINNER`)-[r]-(target:`THE GOOSE`) + RETURN r + :result:, ) type='DIRECTED' properties={'keywords': '"holiday meal, celebration"', 'description': '"The Goose is a significant part of The Dinner, representing the main course that brings joy and satisfaction to the Cratchit family."', 'weight': 8.0, 'source_id': 'chunk-503f0bfa5453467c7c61d160a3540eca'}> +2024-10-30 05:41:58,551 - lightrag - INFO - _check_edge_existence:query:MATCH (a:`THE DINNER`)-[r]-(b:`THE PUDDING`) RETURN COUNT(r) > 0 AS edgeExists:result:True +2024-10-30 05:41:58,687 - lightrag - INFO - get_edge:query: + MATCH (source:`THE DINNER`)-[r]-(target:`THE PUDDING`) + RETURN r + :result:, ) type='DIRECTED' properties={'keywords': '"dessert, holiday tradition"', 'description': '"The Pudding is a highlight of The Dinner, showcasing Mrs. Cratchit\'s skill and adding to the festive atmosphere."', 'weight': 9.0, 'source_id': 'chunk-503f0bfa5453467c7c61d160a3540eca'}> +2024-10-30 05:41:58,829 - lightrag - INFO - _check_edge_existence:query:MATCH (a:`MISS BELINDA`)-[r]-(b:`THE DINNER`) RETURN COUNT(r) > 0 AS edgeExists:result:True +2024-10-30 05:41:58,966 - lightrag - INFO - get_edge:query: + MATCH (source:`MISS BELINDA`)-[r]-(target:`THE DINNER`) + RETURN r + :result:, ) type='DIRECTED' properties={'keywords': '"family contribution, teamwork"', 'description': '"Miss Belinda\'s role in changing the plates represents her contribution to the family effort in celebrating The Dinner."', 'weight': 7.0, 'source_id': 'chunk-503f0bfa5453467c7c61d160a3540eca'}> +2024-10-30 05:41:59,109 - lightrag - INFO - _check_edge_existence:query:MATCH (a:`CHRISTMAS`)-[r]-(b:`THE DINNER`) RETURN COUNT(r) > 0 AS edgeExists:result:True +2024-10-30 05:41:59,246 - lightrag - INFO - get_edge:query: + MATCH (source:`CHRISTMAS`)-[r]-(target:`THE DINNER`) + RETURN r + :result:, ) type='DIRECTED' properties={'keywords': '"festive occasion, celebration"', 'description': '"The Dinner is part of the Christmas celebration, reflecting the traditions and spirit associated with this holiday."', 'weight': 10.0, 'source_id': 'chunk-503f0bfa5453467c7c61d160a3540eca'}> +2024-10-30 05:41:59,388 - lightrag - INFO - _check_edge_existence:query:MATCH (a:`SCROOGE`)-[r]-(b:`THE FOUNDER OF THE FEAST`) RETURN COUNT(r) > 0 AS edgeExists:result:True +2024-10-30 05:41:59,526 - lightrag - INFO - get_edge:query: + MATCH (source:`SCROOGE`)-[r]-(target:`THE FOUNDER OF THE FEAST`) + RETURN r + :result:, ) type='DIRECTED' properties={'keywords': '"gratitude, recognition"', 'description': '"Scrooge\'s contribution as The Founder of the Feast is acknowledged by Bob, highlighting the connection between Scrooge and the Cratchit family\'s Christmas dinner."', 'weight': 8.0, 'source_id': 'chunk-503f0bfa5453467c7c61d160a3540eca'}> +2024-10-30 05:41:59,672 - lightrag - INFO - _check_edge_existence:query:MATCH (a:`MRS. CRATCHIT`)-[r]-(b:`SCROOGE`) RETURN COUNT(r) > 0 AS edgeExists:result:True +2024-10-30 05:41:59,807 - lightrag - INFO - get_edge:query: + MATCH (source:`MRS. CRATCHIT`)-[r]-(target:`SCROOGE`) + RETURN r + :result:, ) type='DIRECTED' properties={'keywords': '"criticism, emotional conflict"', 'description': '"Mrs. Cratchit openly criticizes Scrooge during the Christmas dinner, expressing her feelings towards him and emphasizing the family\'s resentment."', 'weight': 8.0, 'source_id': 'chunk-19d72c57ae3408758b18d2568e86dc6b'}> +2024-10-30 05:41:59,954 - lightrag - INFO - _check_edge_existence:query:MATCH (a:`CRATCHIT FAMILY`)-[r]-(b:`THE SPIRIT`) RETURN COUNT(r) > 0 AS edgeExists:result:True +2024-10-30 05:42:00,091 - lightrag - INFO - get_edge:query: + MATCH (source:`CRATCHIT FAMILY`)-[r]-(target:`THE SPIRIT`) + RETURN r + :result:, ) type='DIRECTED' properties={'keywords': '"holiday spirit, influence"', 'description': '"The Spirit influences the Christmas gathering of the Cratchit family by promoting joy and generosity, impacting their celebration."', 'weight': 9.0, 'source_id': 'chunk-19d72c57ae3408758b18d2568e86dc6b'}> +2024-10-30 05:42:00,233 - lightrag - INFO - _check_edge_existence:query:MATCH (a:`CHRISTMAS DAY`)-[r]-(b:`CRATCHIT FAMILY`) RETURN COUNT(r) > 0 AS edgeExists:result:True +2024-10-30 05:42:00,368 - lightrag - INFO - get_edge:query: + MATCH (source:`CHRISTMAS DAY`)-[r]-(target:`CRATCHIT FAMILY`) + RETURN r + :result:, ) type='DIRECTED' properties={'keywords': '"celebration, tradition""celebration, unity"', 'description': '"The Cratchit Family gathers to celebrate Christmas Day, reflecting their togetherness and joy despite their hardships.""The Cratchit Family\'s celebration on Christmas Day emphasizes their unity and joy in sharing the holiday together."', 'weight': 19.0, 'source_id': 'chunk-7e2e7ebcc19a53b399dc03aded4743e7chunk-19d72c57ae3408758b18d2568e86dc6b'}> +2024-10-30 05:42:00,514 - lightrag - INFO - _check_edge_existence:query:MATCH (a:`MARTHA CRATCHIT`)-[r]-(b:`PETER CRATCHIT`) RETURN COUNT(r) > 0 AS edgeExists:result:True +2024-10-30 05:42:00,658 - lightrag - INFO - get_edge:query: + MATCH (source:`MARTHA CRATCHIT`)-[r]-(target:`PETER CRATCHIT`) + RETURN r + :result:, ) type='DIRECTED' properties={'keywords': '"sibling relationship, family dynamics"', 'description': '"Peter and Martha interact as siblings during the Christmas gathering, reflecting familial bonds and shared experiences."', 'weight': 7.0, 'source_id': 'chunk-19d72c57ae3408758b18d2568e86dc6b'}> +2024-10-30 05:42:00,799 - lightrag - INFO - _check_edge_existence:query:MATCH (a:`MARTHA CRATCHIT`)-[r]-(b:`THE COUNTESS`) RETURN COUNT(r) > 0 AS edgeExists:result:True +2024-10-30 05:42:00,937 - lightrag - INFO - get_edge:query: + MATCH (source:`MARTHA CRATCHIT`)-[r]-(target:`THE COUNTESS`) + RETURN r + :result:, ) type='DIRECTED' properties={'keywords': '"social aspirations, class contrast"', 'description': '"Martha’s mention of having seen the Countess represents her connection to higher social circles and dreams beyond her current situation."', 'weight': 5.0, 'source_id': 'chunk-19d72c57ae3408758b18d2568e86dc6b'}> +2024-10-30 05:42:01,079 - lightrag - INFO - _check_edge_existence:query:MATCH (a:`THE CRATCHIT FAMILY`)-[r]-(b:`TINY TIM`) RETURN COUNT(r) > 0 AS edgeExists:result:True +2024-10-30 05:42:01,214 - lightrag - INFO - get_edge:query: + MATCH (source:`THE CRATCHIT FAMILY`)-[r]-(target:`TINY TIM`) + RETURN r + :result:, ) type='DIRECTED' properties={'keywords': '"family unity, hope"', 'description': '"Tiny Tim is an integral part of the Cratchit family, embodying their hopes and joys during the Christmas festivities."', 'weight': 9.0, 'source_id': 'chunk-19d72c57ae3408758b18d2568e86dc6b'}> +2024-10-30 05:42:01,357 - lightrag - INFO - _check_edge_existence:query:MATCH (a:`BOB CRATCHIT`)-[r]-(b:`THE GATHERING`) RETURN COUNT(r) > 0 AS edgeExists:result:True +2024-10-30 05:42:01,496 - lightrag - INFO - get_edge:query: + MATCH (source:`BOB CRATCHIT`)-[r]-(target:`THE GATHERING`) + RETURN r + :result:, ) type='DIRECTED' properties={'keywords': '"family commitment, celebration"', 'description': '"Bob Cratchit leads his family in the Christmas Gathering, showcasing their love and commitment to celebrating together despite worries."', 'weight': 8.0, 'source_id': 'chunk-19d72c57ae3408758b18d2568e86dc6b'}> +2024-10-30 05:42:01,638 - lightrag - INFO - _check_edge_existence:query:MATCH (a:`THE GATHERING`)-[r]-(b:`THE SPIRIT`) RETURN COUNT(r) > 0 AS edgeExists:result:True +2024-10-30 05:42:01,782 - lightrag - INFO - get_edge:query: + MATCH (source:`THE GATHERING`)-[r]-(target:`THE SPIRIT`) + RETURN r + :result:, ) type='DIRECTED' properties={'keywords': '"holiday influence, spirit embodiment"', 'description': '"The Spirit enhances The Gathering by infusing it with joy and positivity, transforming the atmosphere into one of celebration."', 'weight': 9.0, 'source_id': 'chunk-19d72c57ae3408758b18d2568e86dc6b'}> +2024-10-30 05:42:01,930 - lightrag - INFO - _check_edge_existence:query:MATCH (a:`CHRISTMAS`)-[r]-(b:`THE LIGHTHOUSE`) RETURN COUNT(r) > 0 AS edgeExists:result:True +2024-10-30 05:42:02,067 - lightrag - INFO - get_edge:query: + MATCH (source:`CHRISTMAS`)-[r]-(target:`THE LIGHTHOUSE`) + RETURN r + :result:, ) type='DIRECTED' properties={'keywords': '"hope, celebration"', 'description': '"The Lighthouse is a site where Christmas is celebrated, symbolizing hope and warmth in a bleak environment."', 'weight': 7.0, 'source_id': 'chunk-91614df5cb74cbe5e109a338a82041e9'}> +2024-10-30 05:42:02,207 - lightrag - INFO - _check_edge_existence:query:MATCH (a:`CHRISTMAS`)-[r]-(b:`THE SHIP`) RETURN COUNT(r) > 0 AS edgeExists:result:True +2024-10-30 05:42:02,350 - lightrag - INFO - get_edge:query: + MATCH (source:`CHRISTMAS`)-[r]-(target:`THE SHIP`) + RETURN r + :result:, ) type='DIRECTED' properties={'keywords': '"unity, shared experience"', 'description': '"The Ship\'s crew celebrates Christmas together, creating a sense of unity and shared joy despite their circumstances."', 'weight': 8.0, 'source_id': 'chunk-91614df5cb74cbe5e109a338a82041e9'}> +2024-10-30 05:42:02,491 - lightrag - INFO - _check_edge_existence:query:MATCH (a:`SCROOGE`)-[r]-(b:`THE LAMPLIGHTER`) RETURN COUNT(r) > 0 AS edgeExists:result:True +2024-10-30 05:42:02,631 - lightrag - INFO - get_edge:query: + MATCH (source:`SCROOGE`)-[r]-(target:`THE LAMPLIGHTER`) + RETURN r + :result:, ) type='DIRECTED' properties={'keywords': '"contrast, positivity"', 'description': '"The Lamplighter\'s cheerful demeanor contrasts with Scrooge\'s initial outlook, highlighting the possibility of joy in life."', 'weight': 6.0, 'source_id': 'chunk-91614df5cb74cbe5e109a338a82041e9'}> +2024-10-30 05:42:02,775 - lightrag - INFO - _check_edge_existence:query:MATCH (a:`THE HUT`)-[r]-(b:`THE OLD MAN`) RETURN COUNT(r) > 0 AS edgeExists:result:True +2024-10-30 05:42:02,913 - lightrag - INFO - get_edge:query: + MATCH (source:`THE HUT`)-[r]-(target:`THE OLD MAN`) + RETURN r + :result:, ) type='DIRECTED' properties={'keywords': '"tradition, family gathering"', 'description': '"The Old Man leads the gathering in song within the Hut, showcasing the warmth of family during Christmas."', 'weight': 8.0, 'source_id': 'chunk-91614df5cb74cbe5e109a338a82041e9'}> +2024-10-30 05:42:03,056 - lightrag - INFO - _check_edge_existence:query:MATCH (a:`THE HUT`)-[r]-(b:`THE MINERS`) RETURN COUNT(r) > 0 AS edgeExists:result:True +2024-10-30 05:42:03,190 - lightrag - INFO - get_edge:query: + MATCH (source:`THE HUT`)-[r]-(target:`THE MINERS`) + RETURN r + :result:, ) type='DIRECTED' properties={'keywords': '"community, resilience"', 'description': '"The Miners find solace and community in the Hut during Christmas, emphasizing the importance of gathering during difficult times."', 'weight': 7.0, 'source_id': 'chunk-91614df5cb74cbe5e109a338a82041e9'}> +2024-10-30 05:42:03,332 - lightrag - INFO - _check_edge_existence:query:MATCH (a:`THE OFFICERS`)-[r]-(b:`THE SHIP`) RETURN COUNT(r) > 0 AS edgeExists:result:True +2024-10-30 05:42:03,467 - lightrag - INFO - get_edge:query: + MATCH (source:`THE OFFICERS`)-[r]-(target:`THE SHIP`) + RETURN r + :result:, ) type='DIRECTED' properties={'keywords': '"camaraderie, festive spirit"', 'description': '"The Officers aboard the Ship share in the collective spirit of Christmas, contributing to the festive atmosphere during their duty."', 'weight': 8.0, 'source_id': 'chunk-91614df5cb74cbe5e109a338a82041e9'}> +2024-10-30 05:42:03,607 - lightrag - INFO - _check_edge_existence:query:MATCH (a:`THE LIGHTHOUSE`)-[r]-(b:`THE WAVE`) RETURN COUNT(r) > 0 AS edgeExists:result:True +2024-10-30 05:42:03,745 - lightrag - INFO - get_edge:query: + MATCH (source:`THE LIGHTHOUSE`)-[r]-(target:`THE WAVE`) + RETURN r + :result:, ) type='DIRECTED' properties={'keywords': '"struggle, isolation"', 'description': '"The Wave\'s constant battering of the Lighthouse highlights the isolation and challenges faced by those in such remote environments."', 'weight': 7.0, 'source_id': 'chunk-91614df5cb74cbe5e109a338a82041e9'}> +2024-10-30 05:42:03,886 - lightrag - INFO - _check_edge_existence:query:MATCH (a:`STORM-BIRDS`)-[r]-(b:`THE LIGHTHOUSE`) RETURN COUNT(r) > 0 AS edgeExists:result:True +2024-10-30 05:42:04,026 - lightrag - INFO - get_edge:query: + MATCH (source:`STORM-BIRDS`)-[r]-(target:`THE LIGHTHOUSE`) + RETURN r + :result:, ) type='DIRECTED' properties={'keywords': '"wildness, nature"', 'description': '"Storm-Birds surrounding the Lighthouse reflect the wildness and unpredictability of the sea, enhancing the sense of danger and solitude."', 'weight': 6.0, 'source_id': 'chunk-91614df5cb74cbe5e109a338a82041e9'}> +2024-10-30 05:42:04,166 - lightrag - INFO - _check_edge_existence:query:MATCH (a:`SCROOGE`)-[r]-(b:`SCROOGE'S NIECE`) RETURN COUNT(r) > 0 AS edgeExists:result:True +2024-10-30 05:42:04,305 - lightrag - INFO - get_edge:query: + MATCH (source:`SCROOGE`)-[r]-(target:`SCROOGE'S NIECE`) + RETURN r + :result:, ) type='DIRECTED' properties={'keywords': '"family bonds, celebration""ideological conflict, family dynamics"', 'description': '"Scrooge\'s Niece expresses indignation towards Scrooge\'s belief that Christmas is a humbug, demonstrating her strong opinions against his views.""Scrooge\'s niece embraces the joyful atmosphere of the celebration, engaging with family and inviting good-natured fun."', 'weight': 15.0, 'source_id': 'chunk-773d0df1dd25c356f7b771d780583e09chunk-43c9bee23adfa77aa9dedd22401bba7d'}> +2024-10-30 05:42:04,451 - lightrag - INFO - _check_edge_existence:query:MATCH (a:`SCROOGE'S NEPHEW`)-[r]-(b:`SCROOGE'S NIECE`) RETURN COUNT(r) > 0 AS edgeExists:result:True +2024-10-30 05:42:04,589 - lightrag - INFO - get_edge:query: + MATCH (source:`SCROOGE'S NEPHEW`)-[r]-(target:`SCROOGE'S NIECE`) + RETURN r + :result:, ) type='DIRECTED' properties={'keywords': '"family interaction, playful rivalry""shared humor, family bonding"', 'description': '"Scrooge\'s Nephew and Scrooge\'s Niece share a humorous dynamic, both laughing and contrasting with Scrooge\'s grim outlook.""Scrooge\'s nephew and niece engage in playful banter and competition during the games, enhancing their familial bond."', 'weight': 15.0, 'source_id': 'chunk-773d0df1dd25c356f7b771d780583e09chunk-43c9bee23adfa77aa9dedd22401bba7d'}> +2024-10-30 05:42:04,731 - lightrag - INFO - _check_edge_existence:query:MATCH (a:`SCROOGE'S NIECE`)-[r]-(b:`TOPPER`) RETURN COUNT(r) > 0 AS edgeExists:result:True +2024-10-30 05:42:04,868 - lightrag - INFO - get_edge:query: + MATCH (source:`SCROOGE'S NIECE`)-[r]-(target:`TOPPER`) + RETURN r + :result:, ) type='DIRECTED' properties={'keywords': '"romantic interest, social dynamics"', 'description': '"Topper shows interest in Scrooge\'s Niece, indicating a budding romantic interest during the family gathering."', 'weight': 6.0, 'source_id': 'chunk-773d0df1dd25c356f7b771d780583e09'}> +2024-10-30 05:42:05,013 - lightrag - INFO - _check_edge_existence:query:MATCH (a:`SCROOGE'S NIECE`)-[r]-(b:`SCROOGE'S NIECE'S SISTERS`) RETURN COUNT(r) > 0 AS edgeExists:result:True +2024-10-30 05:42:05,149 - lightrag - INFO - get_edge:query: + MATCH (source:`SCROOGE'S NIECE`)-[r]-(target:`SCROOGE'S NIECE'S SISTERS`) + RETURN r + :result:, ) type='DIRECTED' properties={'keywords': '"sisterly bond, shared sentiment"', 'description': '"Scrooge\'s Niece\'s Sisters share the same lively spirit and engage in laughter, supporting her sentiments towards their uncle Scrooge."', 'weight': 8.0, 'source_id': 'chunk-773d0df1dd25c356f7b771d780583e09'}> +2024-10-30 05:42:05,292 - lightrag - INFO - _check_edge_existence:query:MATCH (a:`DINNER`)-[r]-(b:`SCROOGE'S NEPHEW`) RETURN COUNT(r) > 0 AS edgeExists:result:True +2024-10-30 05:42:05,425 - lightrag - INFO - get_edge:query: + MATCH (source:`DINNER`)-[r]-(target:`SCROOGE'S NEPHEW`) + RETURN r + :result:, ) type='DIRECTED' properties={'keywords': '"family, celebration"', 'description': '"Scrooge\'s Nephew emphasizes the pleasure of sharing Dinner with loved ones, highlighting the importance of family connections during holiday gatherings."', 'weight': 9.0, 'source_id': 'chunk-773d0df1dd25c356f7b771d780583e09'}> +2024-10-30 05:42:05,565 - lightrag - INFO - _check_edge_existence:query:MATCH (a:`SCROOGE'S NEPHEW`)-[r]-(b:`TOPPER`) RETURN COUNT(r) > 0 AS edgeExists:result:True +2024-10-30 05:42:05,704 - lightrag - INFO - get_edge:query: + MATCH (source:`SCROOGE'S NEPHEW`)-[r]-(target:`TOPPER`) + RETURN r + :result:, ) type='DIRECTED' properties={'keywords': '"social interaction, camaraderie"', 'description': '"Topper interacts with Scrooge\'s Nephew during the festivities, engaging in dialogue that enhances the light-hearted atmosphere of the gathering."', 'weight': 6.0, 'source_id': 'chunk-773d0df1dd25c356f7b771d780583e09'}> +2024-10-30 05:42:05,846 - lightrag - INFO - _check_edge_existence:query:MATCH (a:`SCROOGE`)-[r]-(b:`TOPPER`) RETURN COUNT(r) > 0 AS edgeExists:result:True +2024-10-30 05:42:05,984 - lightrag - INFO - get_edge:query: + MATCH (source:`SCROOGE`)-[r]-(target:`TOPPER`) + RETURN r + :result:, ) type='DIRECTED' properties={'keywords': '"observation, merriment"', 'description': '"Scrooge observes Topper\'s antics and expressions of joy during the games, revealing a reflection on human nature and merriment."', 'weight': 6.0, 'source_id': 'chunk-43c9bee23adfa77aa9dedd22401bba7d'}> +2024-10-30 05:42:06,129 - lightrag - INFO - _check_edge_existence:query:MATCH (a:`CHRISTMAS HOLIDAYS`)-[r]-(b:`SCROOGE`) RETURN COUNT(r) > 0 AS edgeExists:result:True +2024-10-30 05:42:06,264 - lightrag - INFO - get_edge:query: + MATCH (source:`CHRISTMAS HOLIDAYS`)-[r]-(target:`SCROOGE`) + RETURN r + :result:, ) type='DIRECTED' properties={'keywords': '"transformation, significance of time"', 'description': '"Christmas Holidays are integral to Scrooge\'s journey, representing the time of year that prompts his change and reinstates joy."', 'weight': 8.0, 'source_id': 'chunk-e7637ff18c5ded77a68cce0a87883fad'}> +2024-10-30 05:42:06,401 - lightrag - INFO - _check_edge_existence:query:MATCH (a:`IGNORANCE`)-[r]-(b:`SPIRIT`) RETURN COUNT(r) > 0 AS edgeExists:result:True +2024-10-30 05:42:06,540 - lightrag - INFO - get_edge:query: + MATCH (source:`IGNORANCE`)-[r]-(target:`SPIRIT`) + RETURN r + :result:, ) type='DIRECTED' properties={'keywords': '"social issues, awareness""social warning, awareness"', 'description': '"The Spirit introduces Ignorance to Scrooge as a representation of societal failures, urging him to acknowledge and address these issues.""The Spirit points out Ignorance, highlighting the need for awareness and responsibility toward societal issues."', 'weight': 15.0, 'source_id': 'chunk-e7637ff18c5ded77a68cce0a87883fadchunk-02baee20cc9463dbe08170a8e1043e32'}> +2024-10-30 05:42:06,687 - lightrag - INFO - _check_edge_existence:query:MATCH (a:`SPIRIT`)-[r]-(b:`WANT`) RETURN COUNT(r) > 0 AS edgeExists:result:True +2024-10-30 05:42:06,828 - lightrag - INFO - get_edge:query: + MATCH (source:`SPIRIT`)-[r]-(target:`WANT`) + RETURN r + :result:, ) type='DIRECTED' properties={'keywords': '"social issues, need for compassion""social warning, deprivation"', 'description': '"The Spirit points out Want, symbolizing the dire consequences of neglecting societal needs.""The Spirit presents Want along with Ignorance, symbolizing the plight of the less fortunate and appealing for compassion."', 'weight': 15.0, 'source_id': 'chunk-e7637ff18c5ded77a68cce0a87883fadchunk-02baee20cc9463dbe08170a8e1043e32'}> +2024-10-30 05:42:06,973 - lightrag - INFO - _check_edge_existence:query:MATCH (a:`CITY`)-[r]-(b:`SPIRIT`) RETURN COUNT(r) > 0 AS edgeExists:result:True +2024-10-30 05:42:07,113 - lightrag - INFO - get_edge:query: + MATCH (source:`CITY`)-[r]-(target:`SPIRIT`) + RETURN r + :result:, ) type='DIRECTED' properties={'keywords': '"atmospheric change, reality"', 'description': '"The Spirit’s presence affects the atmosphere of the City, showcasing the stark realities of life and death surrounding Scrooge."', 'weight': 6.0, 'source_id': 'chunk-02baee20cc9463dbe08170a8e1043e32'}> +2024-10-30 05:42:07,253 - lightrag - INFO - _check_edge_existence:query:MATCH (a:`JACOB`)-[r]-(b:`SCROOGE`) RETURN COUNT(r) > 0 AS edgeExists:result:True +2024-10-30 05:42:07,387 - lightrag - INFO - get_edge:query: + MATCH (source:`JACOB`)-[r]-(target:`SCROOGE`) + RETURN r + :result:, ) type='DIRECTED' properties={'keywords': '"reflection, past relationship"', 'description': '"Scrooge reflects on his past relationship with Jacob, influenced by feelings of guilt and loss after Jacob\'s death."', 'weight': 8.0, 'source_id': 'chunk-f1a4fbcf1ed86864b9bfd5e8dba4c683'}> +2024-10-30 05:42:07,532 - lightrag - INFO - _check_edge_existence:query:MATCH (a:`THE LOW-BROWED SHOP`)-[r]-(b:`THE TOWN`) RETURN COUNT(r) > 0 AS edgeExists:result:True +2024-10-30 05:42:07,669 - lightrag - INFO - get_edge:query: + MATCH (source:`THE LOW-BROWED SHOP`)-[r]-(target:`THE TOWN`) + RETURN r + :result:, ) type='DIRECTED' properties={'keywords': '"socioeconomic issues, decay"', 'description': '"The Low-Browed Shop exists within The Town, reflecting its degradation and the poor conditions of its inhabitants."', 'weight': 7.0, 'source_id': 'chunk-f1a4fbcf1ed86864b9bfd5e8dba4c683'}> +2024-10-30 05:42:07,812 - lightrag - INFO - _check_edge_existence:query:MATCH (a:`RED-FACED GENTLEMAN`)-[r]-(b:`SCROOGE`) RETURN COUNT(r) > 0 AS edgeExists:result:True +2024-10-30 05:42:07,950 - lightrag - INFO - get_edge:query: + MATCH (source:`RED-FACED GENTLEMAN`)-[r]-(target:`SCROOGE`) + RETURN r + :result:, ) type='DIRECTED' properties={'keywords': '"humor, communal context"', 'description': '"Scrooge observes the conversation of the Red-faced Gentleman, which offers humorous insights into communal attitudes toward death."', 'weight': 6.0, 'source_id': 'chunk-f1a4fbcf1ed86864b9bfd5e8dba4c683'}> +2024-10-30 05:42:08,091 - lightrag - INFO - _check_edge_existence:query:MATCH (a:`GENTLEMAN WITH THE EXCRESCENCE`)-[r]-(b:`RED-FACED GENTLEMAN`) RETURN COUNT(r) > 0 AS edgeExists:result:True +2024-10-30 05:42:08,234 - lightrag - INFO - get_edge:query: + MATCH (source:`GENTLEMAN WITH THE EXCRESCENCE`)-[r]-(target:`RED-FACED GENTLEMAN`) + RETURN r + :result:, ) type='DIRECTED' properties={'keywords': '"social interaction, humor"', 'description': '"Both gentlemen engage in light-hearted banter about the funeral, reflecting casual societal norms in their discussion."', 'weight': 7.0, 'source_id': 'chunk-f1a4fbcf1ed86864b9bfd5e8dba4c683'}> +2024-10-30 05:42:08,373 - lightrag - INFO - _check_edge_existence:query:MATCH (a:`SCROOGE`)-[r]-(b:`THE PHANTOM`) RETURN COUNT(r) > 0 AS edgeExists:result:True +2024-10-30 05:42:08,510 - lightrag - INFO - get_edge:query: + MATCH (source:`SCROOGE`)-[r]-(target:`THE PHANTOM`) + RETURN r + :result:, ) type='DIRECTED' properties={'keywords': '"guidance, self-reflection"', 'description': '"Scrooge interacts with the Phantom, which guides him through reflections on his life and future, emphasizing his journey of change."', 'weight': 9.0, 'source_id': 'chunk-f1a4fbcf1ed86864b9bfd5e8dba4c683'}> +2024-10-30 05:42:08,652 - lightrag - INFO - _check_edge_existence:query:MATCH (a:`THE PEOPLE`)-[r]-(b:`THE QUARTER`) RETURN COUNT(r) > 0 AS edgeExists:result:True +2024-10-30 05:42:08,790 - lightrag - INFO - get_edge:query: + MATCH (source:`THE PEOPLE`)-[r]-(target:`THE QUARTER`) + RETURN r + :result:, ) type='DIRECTED' properties={'keywords': '"socioeconomic struggle, societal neglect"', 'description': '"The People inhabit The Quarter, which is characterized by poverty, crime, and a sense of neglect."', 'weight': 9.0, 'source_id': 'chunk-f1a4fbcf1ed86864b9bfd5e8dba4c683'}> +2024-10-30 05:42:08,933 - lightrag - INFO - _check_edge_existence:query:MATCH (a:`THE LOW-BROWED SHOP`)-[r]-(b:`THE PEOPLE`) RETURN COUNT(r) > 0 AS edgeExists:result:True +2024-10-30 05:42:09,071 - lightrag - INFO - get_edge:query: + MATCH (source:`THE LOW-BROWED SHOP`)-[r]-(target:`THE PEOPLE`) + RETURN r + :result:, ) type='DIRECTED' properties={'keywords': '"desperation, commerce"', 'description': '"The Low-Browed Shop serves the needs of The People, representing the harsh realities of their lives in the quarter."', 'weight': 8.0, 'source_id': 'chunk-f1a4fbcf1ed86864b9bfd5e8dba4c683'}> +2024-10-30 05:42:09,213 - lightrag - INFO - _check_edge_existence:query:MATCH (a:`OLD SCRATCH`)-[r]-(b:`THE FUNERAL`) RETURN COUNT(r) > 0 AS edgeExists:result:True +2024-10-30 05:42:09,350 - lightrag - INFO - get_edge:query: + MATCH (source:`OLD SCRATCH`)-[r]-(target:`THE FUNERAL`) + RETURN r + :result:, ) type='DIRECTED' properties={'keywords': '"morbid humor, societal views"', 'description': '"The concept of Old Scratch is invoked in the context of discussions about The Funeral, highlighting societal attitudes towards death."', 'weight': 7.0, 'source_id': 'chunk-f1a4fbcf1ed86864b9bfd5e8dba4c683'}> +2024-10-30 05:42:09,493 - lightrag - INFO - _check_edge_existence:query:MATCH (a:`MRS. DILBER`)-[r]-(b:`OLD JOE`) RETURN COUNT(r) > 0 AS edgeExists:result:True +2024-10-30 05:42:09,628 - lightrag - INFO - get_edge:query: + MATCH (source:`MRS. DILBER`)-[r]-(target:`OLD JOE`) + RETURN r + :result:, ) type='DIRECTED' properties={'keywords': '"business interaction, appraisal"', 'description': '"Old Joe assesses the belongings of Mrs. Dilber, reinforcing his role as an appraiser of stolen goods and demonstrating a tendency to be generous towards women."', 'weight': 6.0, 'source_id': 'chunk-60fc063c79fc0d4acc91a57e79de04dc'}> +2024-10-30 05:42:09,768 - lightrag - INFO - _check_edge_existence:query:MATCH (a:`MRS. DILBER`)-[r]-(b:`THE WOMAN`) RETURN COUNT(r) > 0 AS edgeExists:result:True +2024-10-30 05:42:09,905 - lightrag - INFO - get_edge:query: + MATCH (source:`MRS. DILBER`)-[r]-(target:`THE WOMAN`) + RETURN r + :result:, ) type='DIRECTED' properties={'keywords': '"moral discussion, camaraderie"', 'description': '"Mrs. Dilber and The Woman share a conversational dynamic that touches on the moral implications of their actions, creating a camaraderie as they discuss the deceased."', 'weight': 5.0, 'source_id': 'chunk-60fc063c79fc0d4acc91a57e79de04dc'}> +2024-10-30 05:42:10,046 - lightrag - INFO - _check_edge_existence:query:MATCH (a:`OLD JOE`)-[r]-(b:`THE WOMAN`) RETURN COUNT(r) > 0 AS edgeExists:result:True +2024-10-30 05:42:10,184 - lightrag - INFO - get_edge:query: + MATCH (source:`OLD JOE`)-[r]-(target:`THE WOMAN`) + RETURN r + :result:, ) type='DIRECTED' properties={'keywords': '"business interaction, appraisal"', 'description': '"Old Joe interacts with The Woman as she encourages him to evaluate her stolen bundle, indicating a business-like relationship based on appraisal and exchange."', 'weight': 7.0, 'source_id': 'chunk-60fc063c79fc0d4acc91a57e79de04dc'}> +2024-10-30 05:42:10,325 - lightrag - INFO - _check_edge_existence:query:MATCH (a:`THE MAN IN FADED BLACK`)-[r]-(b:`THE WOMAN`) RETURN COUNT(r) > 0 AS edgeExists:result:True +2024-10-30 05:42:10,461 - lightrag - INFO - get_edge:query: + MATCH (source:`THE MAN IN FADED BLACK`)-[r]-(target:`THE WOMAN`) + RETURN r + :result:, ) type='DIRECTED' properties={'keywords': '"shared activity, community"', 'description': '"The Man in Faded Black shares his modest plunder with The Woman, building a sense of community among the characters involved."', 'weight': 5.0, 'source_id': 'chunk-60fc063c79fc0d4acc91a57e79de04dc'}> +2024-10-30 05:42:10,603 - lightrag - INFO - _check_edge_existence:query:MATCH (a:`OLD JOE`)-[r]-(b:`THE GATHERING`) RETURN COUNT(r) > 0 AS edgeExists:result:True +2024-10-30 05:42:10,742 - lightrag - INFO - get_edge:query: + MATCH (source:`OLD JOE`)-[r]-(target:`THE GATHERING`) + RETURN r + :result:, ) type='DIRECTED' properties={'keywords': '"facilitation, social dynamics"', 'description': '"Old Joe facilitates The Gathering by appraising the items brought by each character, serving as a focal point for their interactions."', 'weight': 9.0, 'source_id': 'chunk-60fc063c79fc0d4acc91a57e79de04dc'}> +2024-10-30 05:42:10,885 - lightrag - INFO - _check_edge_existence:query:MATCH (a:`SCROOGE`)-[r]-(b:`THE DECEASED MAN`) RETURN COUNT(r) > 0 AS edgeExists:result:True +2024-10-30 05:42:11,030 - lightrag - INFO - get_edge:query: + MATCH (source:`SCROOGE`)-[r]-(target:`THE DECEASED MAN`) + RETURN r + :result:, ) type='DIRECTED' properties={'keywords': '"moral reflection, consequence"', 'description': '"Scrooge reflects on the life and death of The Deceased Man, prompting introspection about his own life choices."', 'weight': 9.0, 'source_id': 'chunk-e1f29eeadc1d8ab46dc8a0bbd3c56b64'}> +2024-10-30 05:42:11,172 - lightrag - INFO - _check_edge_existence:query:MATCH (a:`JOE`)-[r]-(b:`SCROOGE`) RETURN COUNT(r) > 0 AS edgeExists:result:True +2024-10-30 05:42:11,310 - lightrag - INFO - get_edge:query: + MATCH (source:`JOE`)-[r]-(target:`SCROOGE`) + RETURN r + :result:, ) type='DIRECTED' properties={'keywords': '"perspective contrast, moral dilemma"', 'description': '"Joe\'s cynical attitude towards death and belongings contrasts with Scrooge\'s moral horror, creating a tension between their perspectives."', 'weight': 6.0, 'source_id': 'chunk-e1f29eeadc1d8ab46dc8a0bbd3c56b64'}> +2024-10-30 05:42:11,452 - lightrag - INFO - _check_edge_existence:query:MATCH (a:`DEATH`)-[r]-(b:`THE BED`) RETURN COUNT(r) > 0 AS edgeExists:result:True +2024-10-30 05:42:11,590 - lightrag - INFO - get_edge:query: + MATCH (source:`DEATH`)-[r]-(target:`THE BED`) + RETURN r + :result:, ) type='DIRECTED' properties={'keywords': '"finality, mortality"', 'description': '"Death is inherently linked to The Bed as the resting place of the deceased, symbolizing the finality of life and the legacy left behind."', 'weight': 8.0, 'source_id': 'chunk-e1f29eeadc1d8ab46dc8a0bbd3c56b64'}> +2024-10-30 05:42:11,732 - lightrag - INFO - _check_edge_existence:query:MATCH (a:`THE BUNDLE`)-[r]-(b:`THE DECEASED MAN`) RETURN COUNT(r) > 0 AS edgeExists:result:True +2024-10-30 05:42:11,872 - lightrag - INFO - get_edge:query: + MATCH (source:`THE BUNDLE`)-[r]-(target:`THE DECEASED MAN`) + RETURN r + :result:, ) type='DIRECTED' properties={'keywords': '"material legacy, value"', 'description': '"The Bundle contains the belongings that once belonged to The Deceased Man, illustrating the material value placed on his life after death."', 'weight': 7.0, 'source_id': 'chunk-e1f29eeadc1d8ab46dc8a0bbd3c56b64'}> +2024-10-30 05:42:12,013 - lightrag - INFO - _check_edge_existence:query:MATCH (a:`THE BLANKETS`)-[r]-(b:`THE CORPSE`) RETURN COUNT(r) > 0 AS edgeExists:result:True +2024-10-30 05:42:12,150 - lightrag - INFO - get_edge:query: + MATCH (source:`THE BLANKETS`)-[r]-(target:`THE CORPSE`) + RETURN r + :result:, ) type='DIRECTED' properties={'keywords': '"care, human connection"', 'description': '"The Blankets are directly associated with The Corpse, indicating the human connections and care traditionally shown to the dead."', 'weight': 8.0, 'source_id': 'chunk-e1f29eeadc1d8ab46dc8a0bbd3c56b64'}> +2024-10-30 05:42:12,291 - lightrag - INFO - _check_edge_existence:query:MATCH (a:`THE BLANKET`)-[r]-(b:`THE OIL`) RETURN COUNT(r) > 0 AS edgeExists:result:True +2024-10-30 05:42:12,431 - lightrag - INFO - get_edge:query: + MATCH (source:`THE BLANKET`)-[r]-(target:`THE OIL`) + RETURN r + :result:, ) type='DIRECTED' properties={'keywords': '"materialism, carelessness"', 'description': '"The Oil’s presence suggests a practical yet insensitive attitude towards the care of The Blanket and the deceased."', 'weight': 6.0, 'source_id': 'chunk-e1f29eeadc1d8ab46dc8a0bbd3c56b64'}> +2024-10-30 05:42:12,572 - lightrag - INFO - _check_edge_existence:query:MATCH (a:`SCROOGE`)-[r]-(b:`THE CORPSE`) RETURN COUNT(r) > 0 AS edgeExists:result:True +2024-10-30 05:42:12,711 - lightrag - INFO - get_edge:query: + MATCH (source:`SCROOGE`)-[r]-(target:`THE CORPSE`) + RETURN r + :result:, ) type='DIRECTED' properties={'keywords': '"introspection, life choices"', 'description': '"Scrooge’s horror upon seeing The Corpse prompts deep reflection on his own life choices and morality."', 'weight': 9.0, 'source_id': 'chunk-e1f29eeadc1d8ab46dc8a0bbd3c56b64'}> +2024-10-30 05:42:12,855 - lightrag - INFO - _check_edge_existence:query:MATCH (a:`BOB CRATCHIT`)-[r]-(b:`CAROLINE`) RETURN COUNT(r) > 0 AS edgeExists:result:True +2024-10-30 05:42:12,991 - lightrag - INFO - get_edge:query: + MATCH (source:`BOB CRATCHIT`)-[r]-(target:`CAROLINE`) + RETURN r + :result:, ) type='DIRECTED' properties={'keywords': '"hope, financial strain"', 'description': '"Caroline expresses hope combined with anxiety regarding their financial situation, affecting her relationship with Bob Cratchit."', 'weight': 7.0, 'source_id': 'chunk-83ac129dc9b56f84c46760d153d68e93'}> +2024-10-30 05:42:13,133 - lightrag - INFO - _check_edge_existence:query:MATCH (a:`SPIRIT`)-[r]-(b:`THE EVENT OF DEATH`) RETURN COUNT(r) > 0 AS edgeExists:result:True +2024-10-30 05:42:13,271 - lightrag - INFO - get_edge:query: + MATCH (source:`SPIRIT`)-[r]-(target:`THE EVENT OF DEATH`) + RETURN r + :result:, ) type='DIRECTED' properties={'keywords': '"emotional impact, mortality"', 'description': '"The Spirit highlights the emotional repercussions of The Event of Death, demonstrating the profound effects on those left behind."', 'weight': 8.0, 'source_id': 'chunk-83ac129dc9b56f84c46760d153d68e93'}> +2024-10-30 05:42:13,412 - lightrag - INFO - _check_edge_existence:query:MATCH (a:`SCROOGE`)-[r]-(b:`THE CRATCHIT HOUSE`) RETURN COUNT(r) > 0 AS edgeExists:result:True +2024-10-30 05:42:13,548 - lightrag - INFO - get_edge:query: + MATCH (source:`SCROOGE`)-[r]-(target:`THE CRATCHIT HOUSE`) + RETURN r + :result:, ) type='DIRECTED' properties={'keywords': '"compassion, familial connection"', 'description': '"Scrooge\'s reflections in The Cratchit House illustrate his evolving understanding of compassion and connection to others."', 'weight': 9.0, 'source_id': 'chunk-83ac129dc9b56f84c46760d153d68e93'}> +2024-10-30 05:42:13,691 - lightrag - INFO - _check_edge_existence:query:MATCH (a:`THE HUSBAND`)-[r]-(b:`THE MOTHER`) RETURN COUNT(r) > 0 AS edgeExists:result:True +2024-10-30 05:42:13,829 - lightrag - INFO - get_edge:query: + MATCH (source:`THE HUSBAND`)-[r]-(target:`THE MOTHER`) + RETURN r + :result:, ) type='DIRECTED' properties={'keywords': '"marital dynamics, emotional strain"', 'description': '"The Mother expresses anxiety and eagerness as she interacts with her husband, showcasing the emotional strain caused by uncertainty."', 'weight': 8.0, 'source_id': 'chunk-83ac129dc9b56f84c46760d153d68e93'}> +2024-10-30 05:42:13,971 - lightrag - INFO - _check_edge_existence:query:MATCH (a:`CAROLINE`)-[r]-(b:`THE HUSBAND`) RETURN COUNT(r) > 0 AS edgeExists:result:True +2024-10-30 05:42:14,110 - lightrag - INFO - get_edge:query: + MATCH (source:`CAROLINE`)-[r]-(target:`THE HUSBAND`) + RETURN r + :result:, ) type='DIRECTED' properties={'keywords': '"communication, emotional burden"', 'description': '"The Husband and Caroline\'s conversation illustrates the tension between optimism and the reality of their situation after receiving distressing news."', 'weight': 7.0, 'source_id': 'chunk-83ac129dc9b56f84c46760d153d68e93'}> +2024-10-30 05:42:14,251 - lightrag - INFO - _check_edge_existence:query:MATCH (a:`PETER`)-[r]-(b:`THE CHILDREN`) RETURN COUNT(r) > 0 AS edgeExists:result:True +2024-10-30 05:42:14,390 - lightrag - INFO - get_edge:query: + MATCH (source:`PETER`)-[r]-(target:`THE CHILDREN`) + RETURN r + :result:, ) type='DIRECTED' properties={'keywords': '"leadership, sibling dynamics"', 'description': '"Peter acts as a stabilizing force among The Children, leading them in moments of uncertainty and representing familial responsibility."', 'weight': 6.0, 'source_id': 'chunk-83ac129dc9b56f84c46760d153d68e93'}> +2024-10-30 05:42:14,537 - lightrag - INFO - _check_edge_existence:query:MATCH (a:`THE CRATCHIT HOUSE`)-[r]-(b:`THE DEBT`) RETURN COUNT(r) > 0 AS edgeExists:result:True +2024-10-30 05:42:14,679 - lightrag - INFO - get_edge:query: + MATCH (source:`THE CRATCHIT HOUSE`)-[r]-(target:`THE DEBT`) + RETURN r + :result:, ) type='DIRECTED' properties={'keywords': '"financial burden, atmosphere"', 'description': '"The Debt looms over The Cratchit House, contributing to the emotional atmosphere and fears of its inhabitants during the story."', 'weight': 9.0, 'source_id': 'chunk-83ac129dc9b56f84c46760d153d68e93'}> +2024-10-30 05:42:14,819 - lightrag - INFO - _check_edge_existence:query:MATCH (a:`CAROLINE`)-[r]-(b:`HOPE`) RETURN COUNT(r) > 0 AS edgeExists:result:True +2024-10-30 05:42:14,960 - lightrag - INFO - get_edge:query: + MATCH (source:`CAROLINE`)-[r]-(target:`HOPE`) + RETURN r + :result:, ) type='DIRECTED' properties={'keywords': '"emotional resilience, motivation"', 'description': '"Hope influences Caroline\'s reactions and actions throughout the story, serving as both a motivator and a source of inner conflict."', 'weight': 8.0, 'source_id': 'chunk-83ac129dc9b56f84c46760d153d68e93'}> +2024-10-30 05:42:15,108 - lightrag - INFO - _check_edge_existence:query:MATCH (a:`BOB CRATCHIT`)-[r]-(b:`MR. SCROOGE'S NEPHEW`) RETURN COUNT(r) > 0 AS edgeExists:result:True +2024-10-30 05:42:15,252 - lightrag - INFO - get_edge:query: + MATCH (source:`BOB CRATCHIT`)-[r]-(target:`MR. SCROOGE'S NEPHEW`) + RETURN r + :result:, ) type='DIRECTED' properties={'keywords': '"kindness, support"', 'description': '"Bob Cratchit shares a positive interaction with Mr. Scrooge\'s Nephew, who expresses kindness and concern for his family."', 'weight': 7.0, 'source_id': 'chunk-1d4b58de5429cd1261370c231c8673e8'}> +2024-10-30 05:42:15,395 - lightrag - INFO - _check_edge_existence:query:MATCH (a:`BOB CRATCHIT`)-[r]-(b:`PETER`) RETURN COUNT(r) > 0 AS edgeExists:result:True +2024-10-30 05:42:15,533 - lightrag - INFO - get_edge:query: + MATCH (source:`BOB CRATCHIT`)-[r]-(target:`PETER`) + RETURN r + :result:, ) type='DIRECTED' properties={'keywords': '"family discussions, support"', 'description': '"Peter interacts with Bob Cratchit, showing the dynamics of a supportive family unit while discussing aspirations."', 'weight': 6.0, 'source_id': 'chunk-1d4b58de5429cd1261370c231c8673e8'}> +2024-10-30 05:42:15,677 - lightrag - INFO - _check_edge_existence:query:MATCH (a:`CHRISTMAS`)-[r]-(b:`TINY TIM`) RETURN COUNT(r) > 0 AS edgeExists:result:True +2024-10-30 05:42:15,812 - lightrag - INFO - get_edge:query: + MATCH (source:`CHRISTMAS`)-[r]-(target:`TINY TIM`) + RETURN r + :result:, ) type='DIRECTED' properties={'keywords': '"innocence, holiday spirit"', 'description': '"Tiny Tim represents the spirit of Christmas, being cherished by family during this festive occasion."', 'weight': 9.0, 'source_id': 'chunk-1d4b58de5429cd1261370c231c8673e8'}> +2024-10-30 05:42:15,954 - lightrag - INFO - _check_edge_existence:query:MATCH (a:`SCROOGE`)-[r]-(b:`THE GHOST OF CHRISTMAS YET TO COME`) RETURN COUNT(r) > 0 AS edgeExists:result:True +2024-10-30 05:42:16,096 - lightrag - INFO - get_edge:query: + MATCH (source:`SCROOGE`)-[r]-(target:`THE GHOST OF CHRISTMAS YET TO COME`) + RETURN r + :result:, ) type='DIRECTED' properties={'keywords': '"consequences, change""guidance, self-confrontation"', 'description': '"The Ghost guides Scrooge to confront his potential future that threatens his existence.""The Ghost is critical in revealing the consequences of Scrooge\'s life choices, pushing for change."', 'weight': 19.0, 'source_id': 'chunk-91572b3cd42786ba4cb2f180ca25cbf4'}> +2024-10-30 05:42:16,236 - lightrag - INFO - _check_edge_existence:query:MATCH (a:`GRAVE`)-[r]-(b:`SCROOGE`) RETURN COUNT(r) > 0 AS edgeExists:result:True +2024-10-30 05:42:16,383 - lightrag - INFO - get_edge:query: + MATCH (source:`GRAVE`)-[r]-(target:`SCROOGE`) + RETURN r + :result:, ) type='DIRECTED' properties={'keywords': '"mortality, reflection"', 'description': '"Scrooge is confronted with his own grave, symbolizing the ultimate outcome of his current lifestyle and actions."', 'weight': 10.0, 'source_id': 'chunk-91572b3cd42786ba4cb2f180ca25cbf4'}> +2024-10-30 05:42:16,525 - lightrag - INFO - _check_edge_existence:query:MATCH (a:`CHRISTMAS DAY`)-[r]-(b:`SCROOGE`) RETURN COUNT(r) > 0 AS edgeExists:result:True +2024-10-30 05:42:16,663 - lightrag - INFO - get_edge:query: + MATCH (source:`CHRISTMAS DAY`)-[r]-(target:`SCROOGE`) + RETURN r + :result:, ) type='DIRECTED' properties={'keywords': '"seasonal significance, renewal"', 'description': '"Scrooge\'s change in attitude and actions occur on Christmas Day, making it a pivotal event in his story."', 'weight': 9.0, 'source_id': 'chunk-90b95db5c53e4364a6bee36b7aa4d70f'}> +2024-10-30 05:42:16,804 - lightrag - INFO - _check_edge_existence:query:MATCH (a:`BOB CRATCHIT`)-[r]-(b:`THE POULTERER'S`) RETURN COUNT(r) > 0 AS edgeExists:result:True +2024-10-30 05:42:16,942 - lightrag - INFO - get_edge:query: + MATCH (source:`BOB CRATCHIT`)-[r]-(target:`THE POULTERER'S`) + RETURN r + :result:, ) type='DIRECTED' properties={'keywords': '"commerce, generosity"', 'description': '"The Poulterer\'s shop is where Scrooge instructs the boy to buy a turkey for the Cratchit family, linking commerce to kindness."', 'weight': 6.0, 'source_id': 'chunk-90b95db5c53e4364a6bee36b7aa4d70f'}> +2024-10-30 05:42:17,085 - lightrag - INFO - _check_edge_existence:query:MATCH (a:`SCROOGE`)-[r]-(b:`THE GHOST OF CHRISTMAS PRESENT`) RETURN COUNT(r) > 0 AS edgeExists:result:True +2024-10-30 05:42:17,224 - lightrag - INFO - get_edge:query: + MATCH (source:`SCROOGE`)-[r]-(target:`THE GHOST OF CHRISTMAS PRESENT`) + RETURN r + :result:, ) type='DIRECTED' properties={'keywords': '"awareness, joy""supernatural guidance, social impact""transformation, guidance"', 'description': '"The Ghost of Christmas Present exposes Scrooge to the joy and generosity he has been missing.""The Ghost of Christmas Present observes Scrooge\'s transformation and emotional engagement with his memories of Christmas.""The Ghost of Christmas Present shows Scrooge the joy and importance of kindness during Christmas, impacting his perspective on social issues."', 'weight': 26.0, 'source_id': 'chunk-90b95db5c53e4364a6bee36b7aa4d70fchunk-43c9bee23adfa77aa9dedd22401bba7dchunk-b0f459f5af1c3a5e0b92cbe4ee48b77b'}> +2024-10-30 05:42:17,383 - lightrag - INFO - _check_edge_existence:query:MATCH (a:`SCROOGE`)-[r]-(b:`THE BOY`) RETURN COUNT(r) > 0 AS edgeExists:result:True +2024-10-30 05:42:17,520 - lightrag - INFO - get_edge:query: + MATCH (source:`SCROOGE`)-[r]-(target:`THE BOY`) + RETURN r + :result:, ) type='DIRECTED' properties={'keywords': '"generosity, kindness"', 'description': '"Scrooge interacts with The Boy to deliver the turkey, showing a newfound generosity and connection to others."', 'weight': 8.0, 'source_id': 'chunk-8f738cb25d60a7dab782162d9d0a25ed'}> +2024-10-30 05:42:17,669 - lightrag - INFO - _check_edge_existence:query:MATCH (a:`BOB CRATCHIT`)-[r]-(b:`THE CHRISTMAS DINNER`) RETURN COUNT(r) > 0 AS edgeExists:result:True +2024-10-30 05:42:17,804 - lightrag - INFO - get_edge:query: + MATCH (source:`BOB CRATCHIT`)-[r]-(target:`THE CHRISTMAS DINNER`) + RETURN r + :result:, ) type='DIRECTED' properties={'keywords': '"family, celebration"', 'description': '"The Christmas Dinner represents the Cratchit family\'s celebration, with Bob Cratchit at the center of this warm gathering."', 'weight': 8.0, 'source_id': 'chunk-90b95db5c53e4364a6bee36b7aa4d70f'}> +2024-10-30 05:42:17,948 - lightrag - INFO - _check_edge_existence:query:MATCH (a:`SCROOGE`)-[r]-(b:`THE OLD GENTLEMAN`) RETURN COUNT(r) > 0 AS edgeExists:result:True +2024-10-30 05:42:18,085 - lightrag - INFO - get_edge:query: + MATCH (source:`SCROOGE`)-[r]-(target:`THE OLD GENTLEMAN`) + RETURN r + :result:, ) type='DIRECTED' properties={'keywords': '"kindness, transformation"', 'description': '"Scrooge shows kindness and generosity to The Old Gentleman, marking a significant change in his character and relationships."', 'weight': 9.0, 'source_id': 'chunk-8f738cb25d60a7dab782162d9d0a25ed'}> +2024-10-30 05:42:18,225 - lightrag - INFO - _check_edge_existence:query:MATCH (a:`BOB CRATCHIT`)-[r]-(b:`THE FAMILY`) RETURN COUNT(r) > 0 AS edgeExists:result:True +2024-10-30 05:42:18,366 - lightrag - INFO - get_edge:query: + MATCH (source:`BOB CRATCHIT`)-[r]-(target:`THE FAMILY`) + RETURN r + :result:, ) type='DIRECTED' properties={'keywords': '"family, responsibility"', 'description': '"Bob Cratchit is a central figure in The Family, demonstrating love and responsibility towards his children during Christmas."', 'weight': 8.0, 'source_id': 'chunk-94bea83e7153fc2064aa382b494936a1'}> +2024-10-30 05:42:18,508 - lightrag - INFO - _check_edge_existence:query:MATCH (a:`BOB CRATCHIT`)-[r]-(b:`THE TANK`) RETURN COUNT(r) > 0 AS edgeExists:result:True +2024-10-30 05:42:18,643 - lightrag - INFO - get_edge:query: + MATCH (source:`BOB CRATCHIT`)-[r]-(target:`THE TANK`) + RETURN r + :result:, ) type='DIRECTED' properties={'keywords': '"workplace, struggle"', 'description': '"Bob\'s working conditions in The Tank under Scrooge reflect the challenges he faces as a struggling employee supporting his family."', 'weight': 7.0, 'source_id': 'chunk-94bea83e7153fc2064aa382b494936a1'}> +2024-10-30 05:42:18,783 - lightrag - INFO - _check_edge_existence:query:MATCH (a:`SCROOGE`)-[r]-(b:`SMOKING BISHOP`) RETURN COUNT(r) > 0 AS edgeExists:result:True +2024-10-30 05:42:18,922 - lightrag - INFO - get_edge:query: + MATCH (source:`SCROOGE`)-[r]-(target:`SMOKING BISHOP`) + RETURN r + :result:, ) type='DIRECTED' properties={'keywords': '"celebration, warmth"', 'description': '"Scrooge and Bob\'s plans to enjoy Smoking Bishop together symbolize the welcoming of joy and warmth during the Christmas season."', 'weight': 9.0, 'source_id': 'chunk-94bea83e7153fc2064aa382b494936a1'}> +2024-10-30 05:42:19,063 - lightrag - INFO - _check_edge_existence:query:MATCH (a:`PROJECT GUTENBERG`)-[r]-(b:`THE FOUNDATION`) RETURN COUNT(r) > 0 AS edgeExists:result:True +2024-10-30 05:42:19,199 - lightrag - INFO - get_edge:query: + MATCH (source:`PROJECT GUTENBERG`)-[r]-(target:`THE FOUNDATION`) + RETURN r + :result:, ) type='DIRECTED' properties={'keywords': '"organizational governance, copyright management"', 'description': '"Project Gutenberg is operated and managed by The Foundation, which governs its copyright and licensing aspects."', 'weight': 9.0, 'source_id': 'chunk-194cd9680f4967f48bea89678f7ece21'}> +2024-10-30 05:42:19,340 - lightrag - INFO - _check_edge_existence:query:MATCH (a:`GENERAL TERMS OF USE`)-[r]-(b:`PROJECT GUTENBERG`) RETURN COUNT(r) > 0 AS edgeExists:result:True +2024-10-30 05:42:19,483 - lightrag - INFO - get_edge:query: + MATCH (source:`GENERAL TERMS OF USE`)-[r]-(target:`PROJECT GUTENBERG`) + RETURN r + :result:, ) type='DIRECTED' properties={'keywords': '"regulatory framework, operational guidelines"', 'description': '"Project Gutenberg operates under specific General Terms of Use that govern the distribution and utilization of its electronic works."', 'weight': 7.0, 'source_id': 'chunk-194cd9680f4967f48bea89678f7ece21'}> +2024-10-30 05:42:19,624 - lightrag - INFO - _check_edge_existence:query:MATCH (a:`PROJECT GUTENBERG`)-[r]-(b:`TRANSCRIBER'S NOTE`) RETURN COUNT(r) > 0 AS edgeExists:result:True +2024-10-30 05:42:19,766 - lightrag - INFO - get_edge:query: + MATCH (source:`PROJECT GUTENBERG`)-[r]-(target:`TRANSCRIBER'S NOTE`) + RETURN r + :result:, ) type='DIRECTED' properties={'keywords': '"contextual enhancement, editorial contribution"', 'description': '"The transcriber\'s note provides additional context about the eBook created and distributed by Project Gutenberg."', 'weight': 6.0, 'source_id': 'chunk-194cd9680f4967f48bea89678f7ece21'}> +2024-10-30 05:42:19,910 - lightrag - INFO - _check_edge_existence:query:MATCH (a:`THE FOUNDATION`)-[r]-(b:`UNITED STATES COPYRIGHT`) RETURN COUNT(r) > 0 AS edgeExists:result:True +2024-10-30 05:42:20,050 - lightrag - INFO - get_edge:query: + MATCH (source:`THE FOUNDATION`)-[r]-(target:`UNITED STATES COPYRIGHT`) + RETURN r + :result:, ) type='DIRECTED' properties={'keywords': '"legal compliance, governance"', 'description': '"The Foundation operates within the framework of United States copyright laws, which govern its activities and permissions."', 'weight': 8.0, 'source_id': 'chunk-194cd9680f4967f48bea89678f7ece21'}> +2024-10-30 05:42:20,194 - lightrag - INFO - _check_edge_existence:query:MATCH (a:`ELECTRONIC WORKS`)-[r]-(b:`PROJECT GUTENBERG`) RETURN COUNT(r) > 0 AS edgeExists:result:True +2024-10-30 05:42:20,334 - lightrag - INFO - get_edge:query: + MATCH (source:`ELECTRONIC WORKS`)-[r]-(target:`PROJECT GUTENBERG`) + RETURN r + :result:, ) type='DIRECTED' properties={'keywords': '"digital access, literary promotion"', 'description': '"Project Gutenberg is dedicated to the distribution of electronic works, which are core to its mission."', 'weight': 10.0, 'source_id': 'chunk-194cd9680f4967f48bea89678f7ece21'}> +2024-10-30 05:42:20,479 - lightrag - INFO - _check_edge_existence:query:MATCH (a:`COPYRIGHT ROYALTIES`)-[r]-(b:`PROJECT GUTENBERG`) RETURN COUNT(r) > 0 AS edgeExists:result:True +2024-10-30 05:42:20,615 - lightrag - INFO - get_edge:query: + MATCH (source:`COPYRIGHT ROYALTIES`)-[r]-(target:`PROJECT GUTENBERG`) + RETURN r + :result:, ) type='DIRECTED' properties={'keywords': '"copyright policy, free access"', 'description': '"Project Gutenberg states that works not protected by U.S. copyright can be distributed without paying copyright royalties."', 'weight': 9.0, 'source_id': 'chunk-194cd9680f4967f48bea89678f7ece21'}> +2024-10-30 05:42:20,754 - lightrag - INFO - _check_edge_existence:query:MATCH (a:`GENERAL TERMS OF USE`)-[r]-(b:`TRADEMARK LICENSE`) RETURN COUNT(r) > 0 AS edgeExists:result:True +2024-10-30 05:42:20,890 - lightrag - INFO - get_edge:query: + MATCH (source:`GENERAL TERMS OF USE`)-[r]-(target:`TRADEMARK LICENSE`) + RETURN r + :result:, ) type='DIRECTED' properties={'keywords': '"operational policy, trademark protection"', 'description': '"The General Terms of Use outlines the conditions that must be adhered to regarding the use of the Project Gutenberg trademark."', 'weight': 7.0, 'source_id': 'chunk-194cd9680f4967f48bea89678f7ece21'}> +2024-10-30 05:42:21,032 - lightrag - INFO - _check_edge_existence:query:MATCH (a:`PROJECT GUTENBERG LITERARY ARCHIVE FOUNDATION`)-[r]-(b:`PROJECT GUTENBERG`) RETURN COUNT(r) > 0 AS edgeExists:result:True +2024-10-30 05:42:21,167 - lightrag - INFO - get_edge:query: + MATCH (source:`PROJECT GUTENBERG LITERARY ARCHIVE FOUNDATION`)-[r]-(target:`PROJECT GUTENBERG`) + RETURN r + :result:, ) type='DIRECTED' properties={'keywords': '"management, oversight"', 'description': '"The Project Gutenberg Literary Archive Foundation is responsible for managing the trademark of Project Gutenberg and ensuring compliance with its licensing terms."', 'weight': 8.0, 'source_id': 'chunk-af4ae173c561e4594c5aea96198cce9d'}> +2024-10-30 05:42:21,308 - lightrag - INFO - _check_edge_existence:query:MATCH (a:`PROJECT GUTENBERG`)-[r]-(b:`U.S. COPYRIGHT LAW`) RETURN COUNT(r) > 0 AS edgeExists:result:True +2024-10-30 05:42:21,444 - lightrag - INFO - get_edge:query: + MATCH (source:`PROJECT GUTENBERG`)-[r]-(target:`U.S. COPYRIGHT LAW`) + RETURN r + :result:, ) type='DIRECTED' properties={'keywords': '"legal compliance, copyright influence""legal compliance, operational limitations"', 'description': '"Project Gutenberg operates within the parameters of U.S. Copyright Law to ensure that its activities align with legal standards.""Project Gutenberg\'s operations are significantly influenced by U.S. Copyright Law, which dictates how works can be shared and accessed."', 'weight': 16.0, 'source_id': 'chunk-af4ae173c561e4594c5aea96198cce9dchunk-c51b3dc560b408cce12cdfe5c9c94f57'}> +2024-10-30 05:42:21,589 - lightrag - INFO - _check_edge_existence:query:MATCH (a:`EBOOK`)-[r]-(b:`PROJECT GUTENBERG`) RETURN COUNT(r) > 0 AS edgeExists:result:True +2024-10-30 05:42:21,727 - lightrag - INFO - get_edge:query: + MATCH (source:`EBOOK`)-[r]-(target:`PROJECT GUTENBERG`) + RETURN r + :result:, ) type='DIRECTED' properties={'keywords': '"digital library, access"', 'description': '"Project Gutenberg provides access to eBooks that follow specific terms of distribution as established in its license."', 'weight': 9.0, 'source_id': 'chunk-af4ae173c561e4594c5aea96198cce9d'}> +2024-10-30 05:42:21,874 - lightrag - INFO - _check_edge_existence:query:MATCH (a:`PROJECT GUTENBERG`)-[r]-(b:`UNITED STATES`) RETURN COUNT(r) > 0 AS edgeExists:result:True +2024-10-30 05:42:22,013 - lightrag - INFO - get_edge:query: + MATCH (source:`PROJECT GUTENBERG`)-[r]-(target:`UNITED STATES`) + RETURN r + :result:, ) type='DIRECTED' properties={'keywords': '"legal framework, copyright law"', 'description': '"Project Gutenberg operates within the legal framework of the United States, influencing its copyright policies and user access."', 'weight': 8.0, 'source_id': 'chunk-194cd9680f4967f48bea89678f7ece21'}> +2024-10-30 05:42:22,153 - lightrag - INFO - _check_edge_existence:query:MATCH (a:`PROJECT GUTENBERG LITERARY ARCHIVE FOUNDATION`)-[r]-(b:`ROYALTY PAYMENTS`) RETURN COUNT(r) > 0 AS edgeExists:result:True +2024-10-30 05:42:22,288 - lightrag - INFO - get_edge:query: + MATCH (source:`PROJECT GUTENBERG LITERARY ARCHIVE FOUNDATION`)-[r]-(target:`ROYALTY PAYMENTS`) + RETURN r + :result:, ) type='DIRECTED' properties={'keywords': '"financial management, trademark"', 'description': '"The Project Gutenberg Literary Archive Foundation oversees the management and collection of Royalty Payments for the use of their trademark."', 'weight': 7.0, 'source_id': 'chunk-af4ae173c561e4594c5aea96198cce9d'}> +2024-10-30 05:42:22,430 - lightrag - INFO - _check_edge_existence:query:MATCH (a:`COPYRIGHT HOLDER`)-[r]-(b:`PROJECT GUTENBERG`) RETURN COUNT(r) > 0 AS edgeExists:result:True +2024-10-30 05:42:22,568 - lightrag - INFO - get_edge:query: + MATCH (source:`COPYRIGHT HOLDER`)-[r]-(target:`PROJECT GUTENBERG`) + RETURN r + :result:, ) type='DIRECTED' properties={'keywords': '"permission, rights management"', 'description': '"Copyright Holders have the authority to grant permission for works posted on Project Gutenberg, influencing availability and distribution."', 'weight': 8.0, 'source_id': 'chunk-af4ae173c561e4594c5aea96198cce9d'}> +2024-10-30 05:42:22,708 - lightrag - INFO - _check_edge_existence:query:MATCH (a:`DISTRIBUTION TERMS`)-[r]-(b:`PARAGRAPHS 1.E.1 THROUGH 1.E.9`) RETURN COUNT(r) > 0 AS edgeExists:result:True +2024-10-30 05:42:22,844 - lightrag - INFO - get_edge:query: + MATCH (source:`DISTRIBUTION TERMS`)-[r]-(target:`PARAGRAPHS 1.E.1 THROUGH 1.E.9`) + RETURN r + :result:, ) type='DIRECTED' properties={'keywords': '"guidelines, usage conditions"', 'description': '"Paragraphs 1.E.1 through 1.E.9 specify the Distribution Terms that govern how Project Gutenberg\'s works can be used and shared."', 'weight': 9.0, 'source_id': 'chunk-af4ae173c561e4594c5aea96198cce9d'}> +2024-10-30 05:42:22,985 - lightrag - INFO - _check_edge_existence:query:MATCH (a:`PROJECT GUTENBERG`)-[r]-(b:`VOLUNTEERS`) RETURN COUNT(r) > 0 AS edgeExists:result:True +2024-10-30 05:42:23,124 - lightrag - INFO - get_edge:query: + MATCH (source:`PROJECT GUTENBERG`)-[r]-(target:`VOLUNTEERS`) + RETURN r + :result:, ) type='DIRECTED' properties={'keywords': '"volunteer contributions, organizational structure"', 'description': '"Volunteers are essential to the mission of Project Gutenberg, contributing significantly to the maintenance and distribution of the collection."', 'weight': 9.0, 'source_id': 'chunk-c51b3dc560b408cce12cdfe5c9c94f57'}> +2024-10-30 05:42:23,266 - lightrag - INFO - _check_edge_existence:query:MATCH (a:`MISSISSIPPI`)-[r]-(b:`PROJECT GUTENBERG LITERARY ARCHIVE FOUNDATION`) RETURN COUNT(r) > 0 AS edgeExists:result:True +2024-10-30 05:42:23,405 - lightrag - INFO - get_edge:query: + MATCH (source:`MISSISSIPPI`)-[r]-(target:`PROJECT GUTENBERG LITERARY ARCHIVE FOUNDATION`) + RETURN r + :result:, ) type='DIRECTED' properties={'keywords': '"legal framework, organizational base""legal identity, location"', 'description': '"The Foundation is organized under the laws of Mississippi, establishing its legal framework.""The Project Gutenberg Literary Archive Foundation is organized under the laws of Mississippi, linking its operations to the state."', 'weight': 13.0, 'source_id': 'chunk-c51b3dc560b408cce12cdfe5c9c94f57chunk-85f77f5e3a9aba01133555a2d20e2fd8'}> +2024-10-30 05:42:23,548 - lightrag - INFO - _check_edge_existence:query:MATCH (a:`PROJECT GUTENBERG LITERARY ARCHIVE FOUNDATION`)-[r]-(b:`SALT LAKE CITY`) RETURN COUNT(r) > 0 AS edgeExists:result:True +2024-10-30 05:42:23,685 - lightrag - INFO - get_edge:query: + MATCH (source:`PROJECT GUTENBERG LITERARY ARCHIVE FOUNDATION`)-[r]-(target:`SALT LAKE CITY`) + RETURN r + :result:, ) type='DIRECTED' properties={'keywords': '"operational base, location""organizational presence, location"', 'description': '"The Foundation has its business office in Salt Lake City, establishing a geographic link to its operations.""The Project Gutenberg Literary Archive Foundation has its business office located in Salt Lake City, establishing a physical presence there."', 'weight': 15.0, 'source_id': 'chunk-c51b3dc560b408cce12cdfe5c9c94f57chunk-85f77f5e3a9aba01133555a2d20e2fd8'}> +2024-10-30 05:42:23,833 - lightrag - INFO - _check_edge_existence:query:MATCH (a:`DEFECTS`)-[r]-(b:`PROJECT GUTENBERG`) RETURN COUNT(r) > 0 AS edgeExists:result:True +2024-10-30 05:42:23,972 - lightrag - INFO - get_edge:query: + MATCH (source:`DEFECTS`)-[r]-(target:`PROJECT GUTENBERG`) + RETURN r + :result:, ) type='DIRECTED' properties={'keywords': '"quality assurance, operational challenges"', 'description': '"The existence of Defects poses challenges to Project Gutenberg\'s integrity and reliability as it seeks to provide quality electronic works."', 'weight': 6.0, 'source_id': 'chunk-c51b3dc560b408cce12cdfe5c9c94f57'}> +2024-10-30 05:42:24,113 - lightrag - INFO - _check_edge_existence:query:MATCH (a:`LEGAL FEES`)-[r]-(b:`VOLUNTEERS`) RETURN COUNT(r) > 0 AS edgeExists:result:True +2024-10-30 05:42:24,248 - lightrag - INFO - get_edge:query: + MATCH (source:`LEGAL FEES`)-[r]-(target:`VOLUNTEERS`) + RETURN r + :result:, ) type='DIRECTED' properties={'keywords': '"legal implications, volunteer risks"', 'description': '"Volunteers may incur Legal Fees if involved in litigation regarding the distribution of Project Gutenberg works or related matters."', 'weight': 5.0, 'source_id': 'chunk-c51b3dc560b408cce12cdfe5c9c94f57'}> +2024-10-30 05:42:24,391 - lightrag - INFO - _check_edge_existence:query:MATCH (a:`CONTRIBUTIONS`)-[r]-(b:`PROJECT GUTENBERG LITERARY ARCHIVE FOUNDATION`) RETURN COUNT(r) > 0 AS edgeExists:result:True +2024-10-30 05:42:24,529 - lightrag - INFO - get_edge:query: + MATCH (source:`CONTRIBUTIONS`)-[r]-(target:`PROJECT GUTENBERG LITERARY ARCHIVE FOUNDATION`) + RETURN r + :result:, ) type='DIRECTED' properties={'keywords': '"funding, operational sustainability"', 'description': '"Contributions are essential for the operational viability of the Foundation, directly supporting its mission."', 'weight': 9.0, 'source_id': 'chunk-85f77f5e3a9aba01133555a2d20e2fd8'}> +2024-10-30 05:42:24,670 - lightrag - INFO - _check_edge_existence:query:MATCH (a:`PROJECT GUTENBERG LITERARY ARCHIVE FOUNDATION`)-[r]-(b:`U.S. INTERNAL REVENUE SERVICE`) RETURN COUNT(r) > 0 AS edgeExists:result:True +2024-10-30 05:42:24,805 - lightrag - INFO - get_edge:query: + MATCH (source:`PROJECT GUTENBERG LITERARY ARCHIVE FOUNDATION`)-[r]-(target:`U.S. INTERNAL REVENUE SERVICE`) + RETURN r + :result:, ) type='DIRECTED' properties={'keywords': '"financial oversight, tax compliance"', 'description': '"The Foundation\'s tax-exempt status is granted by the U.S. Internal Revenue Service, which oversees its financial compliance."', 'weight': 10.0, 'source_id': 'chunk-85f77f5e3a9aba01133555a2d20e2fd8'}> +2024-10-30 05:42:24,948 - lightrag - INFO - _check_edge_existence:query:MATCH (a:`MICHAEL S. HART`)-[r]-(b:`PROJECT GUTENBERG LITERARY ARCHIVE FOUNDATION`) RETURN COUNT(r) > 0 AS edgeExists:result:True +2024-10-30 05:42:25,083 - lightrag - INFO - get_edge:query: + MATCH (source:`MICHAEL S. HART`)-[r]-(target:`PROJECT GUTENBERG LITERARY ARCHIVE FOUNDATION`) + RETURN r + :result:, ) type='DIRECTED' properties={'keywords': '"founder, mission creation"', 'description': '"Michael S. Hart is the originator of the Project Gutenberg concept, instrumental in establishing its mission and operations."', 'weight': 9.0, 'source_id': 'chunk-85f77f5e3a9aba01133555a2d20e2fd8'}> +2024-10-30 05:42:25,228 - lightrag - INFO - _check_edge_existence:query:MATCH (a:`DONATIONS`)-[r]-(b:`PROJECT GUTENBERG LITERARY ARCHIVE FOUNDATION`) RETURN COUNT(r) > 0 AS edgeExists:result:True +2024-10-30 05:42:25,381 - lightrag - INFO - get_edge:query: + MATCH (source:`DONATIONS`)-[r]-(target:`PROJECT GUTENBERG LITERARY ARCHIVE FOUNDATION`) + RETURN r + :result:, ) type='DIRECTED' properties={'keywords': '"financial support, project funding"', 'description': '"Donations are critical financial support for the Foundation, enabling its initiatives and projects."', 'weight': 9.0, 'source_id': 'chunk-85f77f5e3a9aba01133555a2d20e2fd8'}> +2024-10-30 05:42:25,521 - lightrag - INFO - _check_edge_existence:query:MATCH (a:`MICHAEL S. HART`)-[r]-(b:`PROJECT GUTENBERG EBOOKS`) RETURN COUNT(r) > 0 AS edgeExists:result:True +2024-10-30 05:42:25,657 - lightrag - INFO - get_edge:query: + MATCH (source:`MICHAEL S. HART`)-[r]-(target:`PROJECT GUTENBERG EBOOKS`) + RETURN r + :result:, ) type='DIRECTED' properties={'keywords': '"content creation, legacy"', 'description': '"Michael S. Hart has been instrumental in the production and distribution of Project Gutenberg eBooks over forty years."', 'weight': 8.0, 'source_id': 'chunk-85f77f5e3a9aba01133555a2d20e2fd8'}> +2024-10-30 05:42:25,806 - lightrag - INFO - _check_edge_existence:query:MATCH (a:`501(C)(3)`)-[r]-(b:`PROJECT GUTENBERG LITERARY ARCHIVE FOUNDATION`) RETURN COUNT(r) > 0 AS edgeExists:result:True +2024-10-30 05:42:25,941 - lightrag - INFO - get_edge:query: + MATCH (source:`501(C)(3)`)-[r]-(target:`PROJECT GUTENBERG LITERARY ARCHIVE FOUNDATION`) + RETURN r + :result:, ) type='DIRECTED' properties={'keywords': '"tax status, charitable organization"', 'description': '"The Project Gutenberg Literary Archive Foundation operates under the 501(c)(3) tax-exempt status, allowing it to receive tax-deductible donations."', 'weight': 9.0, 'source_id': 'chunk-85f77f5e3a9aba01133555a2d20e2fd8'}> +2024-10-30 05:42:26,082 - lightrag - INFO - _check_edge_existence:query:MATCH (a:`EIN 64-6221541`)-[r]-(b:`PROJECT GUTENBERG LITERARY ARCHIVE FOUNDATION`) RETURN COUNT(r) > 0 AS edgeExists:result:True +2024-10-30 05:42:26,217 - lightrag - INFO - get_edge:query: + MATCH (source:`EIN 64-6221541`)-[r]-(target:`PROJECT GUTENBERG LITERARY ARCHIVE FOUNDATION`) + RETURN r + :result:, ) type='DIRECTED' properties={'keywords': '"tax identification, compliance"', 'description': '"The EIN serves as the foundation\'s identification for tax purposes, linking it to federal tax compliance."', 'weight': 8.0, 'source_id': 'chunk-85f77f5e3a9aba01133555a2d20e2fd8'}> +2024-10-30 05:42:26,395 - lightrag - INFO - _check_edge_existence:query:MATCH (a:`PROJECT GUTENBERG LITERARY ARCHIVE FOUNDATION`)-[r]-(b:`U.S. FEDERAL LAWS`) RETURN COUNT(r) > 0 AS edgeExists:result:True +2024-10-30 05:42:26,533 - lightrag - INFO - get_edge:query: + MATCH (source:`PROJECT GUTENBERG LITERARY ARCHIVE FOUNDATION`)-[r]-(target:`U.S. FEDERAL LAWS`) + RETURN r + :result:, ) type='DIRECTED' properties={'keywords': '"legal compliance, federal regulations"', 'description': '"The Foundation must comply with U.S. federal laws regarding charitable donations and tax-exempt status."', 'weight': 9.0, 'source_id': 'chunk-85f77f5e3a9aba01133555a2d20e2fd8'}> +2024-10-30 05:42:26,676 - lightrag - INFO - _check_edge_existence:query:MATCH (a:`PROJECT GUTENBERG LITERARY ARCHIVE FOUNDATION`)-[r]-(b:`WEBSITE`) RETURN COUNT(r) > 0 AS edgeExists:result:True +2024-10-30 05:42:26,813 - lightrag - INFO - get_edge:query: + MATCH (source:`PROJECT GUTENBERG LITERARY ARCHIVE FOUNDATION`)-[r]-(target:`WEBSITE`) + RETURN r + :result:, ) type='DIRECTED' properties={'keywords': '"information dissemination, online presence"', 'description': '"The Foundation uses its website to facilitate donations and disseminate information about its services and eBooks."', 'weight': 8.0, 'source_id': 'chunk-85f77f5e3a9aba01133555a2d20e2fd8'}> +2024-10-30 05:42:26,952 - lightrag - INFO - _check_edge_existence:query:MATCH (a:`PROJECT GUTENBERG LITERARY ARCHIVE FOUNDATION`)-[r]-(b:`PUBLIC DOMAIN`) RETURN COUNT(r) > 0 AS edgeExists:result:True +2024-10-30 05:42:27,088 - lightrag - INFO - get_edge:query: + MATCH (source:`PROJECT GUTENBERG LITERARY ARCHIVE FOUNDATION`)-[r]-(target:`PUBLIC DOMAIN`) + RETURN r + :result:, ) type='DIRECTED' properties={'keywords': '"accessibility, distribution"', 'description': '"The Foundation\'s mission is focused on distributing works that are in the Public Domain, enhancing accessibility for the public."', 'weight': 9.0, 'source_id': 'chunk-85f77f5e3a9aba01133555a2d20e2fd8'}> +2024-10-30 05:52:14,260 - lightrag - INFO - Logger initialized for working directory: ./neo4jWorkDir +2024-10-30 05:52:14,261 - lightrag - DEBUG - LightRAG init with param: + working_dir = ./neo4jWorkDir, + chunk_token_size = 1200, + chunk_overlap_token_size = 100, + tiktoken_model_name = gpt-4o-mini, + entity_extract_max_gleaning = 1, + entity_summary_to_max_tokens = 500, + node_embedding_algorithm = node2vec, + node2vec_params = {'dimensions': 1536, 'num_walks': 10, 'walk_length': 40, 'window_size': 2, 'iterations': 3, 'random_seed': 3}, + embedding_func = {'embedding_dim': 1536, 'max_token_size': 8192, 'func': }, + embedding_batch_num = 32, + embedding_func_max_async = 16, + llm_model_func = , + llm_model_name = meta-llama/Llama-3.2-1B-Instruct, + llm_model_max_token_size = 32768, + llm_model_max_async = 16, + key_string_value_json_storage_cls = , + vector_db_storage_cls = , + vector_db_storage_cls_kwargs = {}, + graph_storage_cls = , + enable_llm_cache = True, + addon_params = {}, + convert_response_to_json_func = + +2024-10-30 05:52:14,261 - lightrag - INFO - Load KV full_docs with 0 data +2024-10-30 05:52:14,261 - lightrag - INFO - Load KV text_chunks with 0 data +2024-10-30 05:52:14,262 - lightrag - INFO - Load KV llm_response_cache with 96 data +2024-10-30 05:52:14,264 - lightrag - INFO - Creating a new event loop in a sub-thread. +2024-10-30 05:52:14,265 - lightrag - INFO - [New Docs] inserting 1 docs +2024-10-30 05:52:14,437 - lightrag - INFO - [New Chunks] inserting 42 chunks +2024-10-30 05:52:14,437 - lightrag - INFO - Inserting 42 vectors to chunks +2024-10-30 05:52:17,989 - lightrag - INFO - [Entity Extraction]... +2024-10-30 05:52:18,772 - lightrag - INFO - get_node:query:MATCH (n:`PROJECT GUTENBERG`) RETURN n:result:"Project Gutenberg is a digital library offering free access to a vast array of eBooks, particularly those not protected by U.S. copyright law, allowing for worldwide distribution under specific conditions.""Project Gutenberg is a digital library offering free eBooks, allowing anyone to access literature in various formats without restrictions.""Project Gutenberg is a digital library providing free access to a wide range of eBooks, primarily in the United States and other regions, under specific licensing terms.""Project Gutenberg is an organization dedicated to the free distribution of electronic works and the preservation of the cultural heritage by providing access to public domain literature.""Project Gutenberg is an organization dedicated to the free distribution of electronic works, relying on volunteers and donations to maintain its collection.""Project Gutenberg is an organization that promotes the free distribution of electronic works and holds a compilation copyright for its collection.""Project Gutenberg is an organization that provides free eBooks, promoting accessibility to literature without restrictions.""Project Gutenberg is an organization dedicated to the free distribution of electronic works, relying on volunteers and donations to maintain its collection.""Project Gutenberg is an organization that promotes the free distribution of electronic works and holds a compilation copyright for its collection.""Project Gutenberg is an organization that provides free eBooks, promoting accessibility to literature without restrictions."', 'source_id': 'chunk-9e3921da66da5d761ab73cd849af6c43chunk-c51b3dc560b408cce12cdfe5c9c94f57chunk-af4ae173c561e4594c5aea96198cce9dchunk-194cd9680f4967f48bea89678f7ece21'}> +2024-10-30 05:52:18,917 - lightrag - INFO - _do_upsert:query: + MERGE (n:`PROJECT GUTENBERG`) + SET n += $properties + RETURN n + :result:{'entity_type': '"ORGANIZATION"', 'description': '"Project Gutenberg is a digital library offering free access to a vast array of eBooks, particularly those not protected by U.S. copyright law, allowing for worldwide distribution under specific conditions.""Project Gutenberg is a digital library offering free access to a vast array of eBooks, particularly those not protected by U.S. copyright law, allowing for worldwide distribution under specific conditions.""Project Gutenberg is a digital library offering free access to a vast array of eBooks, particularly those not protected by U.S. copyright law, allowing for worldwide distribution under specific conditions.""Project Gutenberg is a digital library offering free eBooks, allowing anyone to access literature in various formats without restrictions.""Project Gutenberg is a digital library providing free access to a wide range of eBooks, primarily in the United States and other regions, under specific licensing terms.""Project Gutenberg is an organization dedicated to the free distribution of electronic works and the preservation of the cultural heritage by providing access to public domain literature.""Project Gutenberg is an organization dedicated to the free distribution of electronic works, relying on volunteers and donations to maintain its collection.""Project Gutenberg is an organization that promotes the free distribution of electronic works and holds a compilation copyright for its collection.""Project Gutenberg is an organization that provides free eBooks, promoting accessibility to literature without restrictions.""Project Gutenberg is an organization dedicated to the free distribution of electronic works, relying on volunteers and donations to maintain its collection.""Project Gutenberg is an organization that promotes the free distribution of electronic works and holds a compilation copyright for its collection.""Project Gutenberg is an organization that provides free eBooks, promoting accessibility to literature without restrictions.""Project Gutenberg is an organization dedicated to the free distribution of electronic works, relying on volunteers and donations to maintain its collection.""Project Gutenberg is an organization that promotes the free distribution of electronic works and holds a compilation copyright for its collection.""Project Gutenberg is an organization that provides free eBooks, promoting accessibility to literature without restrictions."', 'source_id': 'chunk-194cd9680f4967f48bea89678f7ece21chunk-c51b3dc560b408cce12cdfe5c9c94f57chunk-af4ae173c561e4594c5aea96198cce9dchunk-9e3921da66da5d761ab73cd849af6c43'} +2024-10-30 05:52:19,055 - lightrag - INFO - get_node:query:MATCH (n:`A CHRISTMAS CAROL`) RETURN n:result:"A Christmas Carol is a famous novella by Charles Dickens that tells the story of Ebenezer Scrooge\'s transformation and redemption, particularly around the Christmas season.""A Christmas Carol is a literary work available through Project Gutenberg, indicating its role in literature and public access.""A Christmas Carol is a novella by Charles Dickens that explores themes of redemption, compassion, and the spirit of Christmas, first published in 1843.""A Christmas Carol is a literary work available through Project Gutenberg, indicating its role in literature and public access."', 'source_id': 'chunk-9e3921da66da5d761ab73cd849af6c43chunk-194cd9680f4967f48bea89678f7ece21'}> +2024-10-30 05:52:19,193 - lightrag - INFO - _do_upsert:query: + MERGE (n:`A CHRISTMAS CAROL`) + SET n += $properties + RETURN n + :result:{'entity_type': '"EVENT"', 'description': '"A Christmas Carol is a famous novella by Charles Dickens that tells the story of Ebenezer Scrooge\'s transformation and redemption, particularly around the Christmas season.""A Christmas Carol is a famous novella by Charles Dickens that tells the story of Ebenezer Scrooge\'s transformation and redemption, particularly around the Christmas season.""A Christmas Carol is a famous novella by Charles Dickens that tells the story of Ebenezer Scrooge\'s transformation and redemption, particularly around the Christmas season.""A Christmas Carol is a literary work available through Project Gutenberg, indicating its role in literature and public access.""A Christmas Carol is a novella by Charles Dickens that explores themes of redemption, compassion, and the spirit of Christmas, first published in 1843.""A Christmas Carol is a literary work available through Project Gutenberg, indicating its role in literature and public access.""A Christmas Carol is a literary work available through Project Gutenberg, indicating its role in literature and public access."', 'source_id': 'chunk-194cd9680f4967f48bea89678f7ece21chunk-9e3921da66da5d761ab73cd849af6c43'} +2024-10-30 05:52:19,327 - lightrag - INFO - get_node:query:MATCH (n:`CHARLES DICKENS`) RETURN n:result:"Charles Dickens is the author of A Christmas Carol, a prominent English writer known for his literary contributions in the 19th century.""Charles Dickens is the author of A Christmas Carol, a prominent English writer known for his literary contributions in the 19th century."', 'source_id': 'chunk-9e3921da66da5d761ab73cd849af6c43'}> +2024-10-30 05:52:19,465 - lightrag - INFO - _do_upsert:query: + MERGE (n:`CHARLES DICKENS`) + SET n += $properties + RETURN n + :result:{'entity_type': '"PERSON"', 'description': '"Charles Dickens is a renowned English writer and social critic, best known for his novels depicting Victorian society, including A Christmas Carol.""Charles Dickens is the author of A Christmas Carol, a prominent English writer known for his literary contributions in the 19th century.""Charles Dickens is the author of A Christmas Carol, a prominent English writer known for his literary contributions in the 19th century.""Charles Dickens is the author of A Christmas Carol, a prominent English writer known for his literary contributions in the 19th century."', 'source_id': 'chunk-9e3921da66da5d761ab73cd849af6c43'} +2024-10-30 05:52:19,591 - lightrag - INFO - get_node:query:MATCH (n:`ARTHUR RACKHAM`) RETURN n:result:"Arthur Rackham is the illustrator of A Christmas Carol, renowned for his distinctive style in illustrating classic literature.""Arthur Rackham was an English illustrator known for his imaginative and detailed illustrations for children\'s books, including A Christmas Carol."', 'source_id': 'chunk-9e3921da66da5d761ab73cd849af6c43'}> +2024-10-30 05:52:19,732 - lightrag - INFO - _do_upsert:query: + MERGE (n:`ARTHUR RACKHAM`) + SET n += $properties + RETURN n + :result:{'entity_type': '"PERSON"', 'description': '"Arthur Rackham is the illustrator of A Christmas Carol, renowned for his distinctive style in illustrating classic literature.""Arthur Rackham is the illustrator of A Christmas Carol, renowned for his distinctive style in illustrating classic literature.""Arthur Rackham is the illustrator of A Christmas Carol, renowned for his distinctive style in illustrating classic literature.""Arthur Rackham was an English illustrator known for his imaginative and detailed illustrations for children\'s books, including A Christmas Carol."', 'source_id': 'chunk-9e3921da66da5d761ab73cd849af6c43'} +2024-10-30 05:52:19,859 - lightrag - INFO - get_node:query:MATCH (n:`EBENEZER SCROOGE`) RETURN n:result:"Ebenezer Scrooge is a central character known for his past connections and interactions, especially with Fezziwig and Dick Wilkins.""Ebenezer Scrooge is a protagonist who experiences confusion and fear regarding the passage of time and supernatural events, especially concerned about a ghostly visitation.""Ebenezer Scrooge is the main character of A Christmas Carol, portrayed as a miserly and greedy old man who experiences a transformation through the visitation of spirits.""Ebenezer Scrooge is the main character of A Christmas Carol, depicted as a miserly and cold-hearted man who undergoes a significant transformation.""Ebenezer Scrooge is the main character who experiences a profound transformation through his encounters with supernatural entities.""Ebenezer Scrooge is the main character of A Christmas Carol, depicted as a miserly and cold-hearted man who undergoes a significant transformation.""Ebenezer Scrooge is the main character who experiences a profound transformation through his encounters with supernatural entities."', 'source_id': 'chunk-9e3921da66da5d761ab73cd849af6c43chunk-c7b10789a9cb0af6c553730b29bd9034chunk-8bc1edd983869352d14cf0886a9175a7'}> +2024-10-30 05:52:19,996 - lightrag - INFO - _do_upsert:query: + MERGE (n:`EBENEZER SCROOGE`) + SET n += $properties + RETURN n + :result:{'entity_type': '"PERSON"', 'description': '"Ebenezer Scrooge is a central character known for his past connections and interactions, especially with Fezziwig and Dick Wilkins.""Ebenezer Scrooge is a central character known for his past connections and interactions, especially with Fezziwig and Dick Wilkins.""Ebenezer Scrooge is a central character known for his past connections and interactions, especially with Fezziwig and Dick Wilkins.""Ebenezer Scrooge is a protagonist who experiences confusion and fear regarding the passage of time and supernatural events, especially concerned about a ghostly visitation.""Ebenezer Scrooge is the main character of A Christmas Carol, portrayed as a miserly and greedy old man who experiences a transformation through the visitation of spirits.""Ebenezer Scrooge is the main character of A Christmas Carol, depicted as a miserly and cold-hearted man who undergoes a significant transformation.""Ebenezer Scrooge is the main character who experiences a profound transformation through his encounters with supernatural entities.""Ebenezer Scrooge is the main character of A Christmas Carol, depicted as a miserly and cold-hearted man who undergoes a significant transformation.""Ebenezer Scrooge is the main character who experiences a profound transformation through his encounters with supernatural entities.""Ebenezer Scrooge is the main character of A Christmas Carol, depicted as a miserly and cold-hearted man who undergoes a significant transformation.""Ebenezer Scrooge is the main character who experiences a profound transformation through his encounters with supernatural entities."', 'source_id': 'chunk-8bc1edd983869352d14cf0886a9175a7chunk-c7b10789a9cb0af6c553730b29bd9034chunk-9e3921da66da5d761ab73cd849af6c43'} +2024-10-30 05:52:20,136 - lightrag - INFO - get_node:query:MATCH (n:`BOB CRATCHIT`) RETURN n:result:chunk-83ac129dc9b56f84c46760d153d68e93chunk-91572b3cd42786ba4cb2f180ca25cbf4chunk-9e3921da66da5d761ab73cd849af6c43chunk-503f0bfa5453467c7c61d160a3540ecachunk-19d72c57ae3408758b18d2568e86dc6bchunk-1d4b58de5429cd1261370c231c8673e8chunk-b0f459f5af1c3a5e0b92cbe4ee48b77bchunk-d9aac3484185ac66045df92214d245d5chunk-90b95db5c53e4364a6bee36b7aa4d70fchunk-7e2e7ebcc19a53b399dc03aded4743e7'}> +2024-10-30 05:52:20,139 - lightrag - DEBUG - Trigger summary: "BOB CRATCHIT" +2024-10-30 05:52:20,243 - lightrag - INFO - get_node:query:MATCH (n:`TINY TIM`) RETURN n:result:chunk-83ac129dc9b56f84c46760d153d68e93chunk-91572b3cd42786ba4cb2f180ca25cbf4chunk-9e3921da66da5d761ab73cd849af6c43chunk-19d72c57ae3408758b18d2568e86dc6bchunk-503f0bfa5453467c7c61d160a3540ecachunk-1d4b58de5429cd1261370c231c8673e8chunk-90b95db5c53e4364a6bee36b7aa4d70fchunk-7e2e7ebcc19a53b399dc03aded4743e7chunk-8f738cb25d60a7dab782162d9d0a25ed'}> +2024-10-30 05:52:20,246 - lightrag - DEBUG - Trigger summary: "TINY TIM" +2024-10-30 05:52:20,348 - lightrag - INFO - get_node:query:MATCH (n:`MR. FEZZIWIG`) RETURN n:result:"Mr. Fezziwig is a kind-hearted merchant and former employer of Scrooge, representing joy and generosity in contrast to Scrooge\'s character.""Mr. Fezziwig is a kind-hearted old merchant who served as a mentor to Scrooge, representing generosity and the joy of Christmas through his festive parties."', 'source_id': 'chunk-9e3921da66da5d761ab73cd849af6c43'}> +2024-10-30 05:52:20,485 - lightrag - INFO - _do_upsert:query: + MERGE (n:`MR. FEZZIWIG`) + SET n += $properties + RETURN n + :result:{'entity_type': '"PERSON"', 'description': '"Mr. Fezziwig is a kind-hearted merchant and former employer of Scrooge, representing joy and generosity in contrast to Scrooge\'s character.""Mr. Fezziwig is a kind-hearted merchant and former employer of Scrooge, representing joy and generosity in contrast to Scrooge\'s character.""Mr. Fezziwig is a kind-hearted merchant and former employer of Scrooge, representing joy and generosity in contrast to Scrooge\'s character.""Mr. Fezziwig is a kind-hearted old merchant who served as a mentor to Scrooge, representing generosity and the joy of Christmas through his festive parties."', 'source_id': 'chunk-9e3921da66da5d761ab73cd849af6c43'} +2024-10-30 05:52:20,613 - lightrag - INFO - get_node:query:MATCH (n:`GHOST OF CHRISTMAS PAST`) RETURN n:result:"The Ghost of Christmas Past is a supernatural entity that aids Scrooge in reflecting on his past experiences and emotions.""The Ghost of Christmas Past is one of the spirits in A Christmas Carol that shows Scrooge his past, prompting reflection and change.""The Ghost of Christmas Past represents a spirit that guides Scrooge to revisit and reflect on his past experiences and memories.""The Ghost of Christmas Past is one of the spirits in A Christmas Carol that shows Scrooge his past, prompting reflection and change.""The Ghost of Christmas Past represents a spirit that guides Scrooge to revisit and reflect on his past experiences and memories."', 'source_id': 'chunk-9e3921da66da5d761ab73cd849af6c43chunk-bb21d58d36c6306fd8810ddd51c4a971'}> +2024-10-30 05:52:20,746 - lightrag - INFO - _do_upsert:query: + MERGE (n:`GHOST OF CHRISTMAS PAST`) + SET n += $properties + RETURN n + :result:{'entity_type': '"EVENT"', 'description': '"The Ghost of Christmas Past is a supernatural character that shows Scrooge his past, helping him understand the roots of his current miserliness.""The Ghost of Christmas Past is a supernatural entity that aids Scrooge in reflecting on his past experiences and emotions.""The Ghost of Christmas Past is one of the spirits in A Christmas Carol that shows Scrooge his past, prompting reflection and change.""The Ghost of Christmas Past represents a spirit that guides Scrooge to revisit and reflect on his past experiences and memories.""The Ghost of Christmas Past is one of the spirits in A Christmas Carol that shows Scrooge his past, prompting reflection and change.""The Ghost of Christmas Past represents a spirit that guides Scrooge to revisit and reflect on his past experiences and memories.""The Ghost of Christmas Past is one of the spirits in A Christmas Carol that shows Scrooge his past, prompting reflection and change.""The Ghost of Christmas Past represents a spirit that guides Scrooge to revisit and reflect on his past experiences and memories."', 'source_id': 'chunk-bb21d58d36c6306fd8810ddd51c4a971chunk-9e3921da66da5d761ab73cd849af6c43'} +2024-10-30 05:52:20,875 - lightrag - INFO - get_node:query:MATCH (n:`GHOST OF CHRISTMAS PRESENT`) RETURN n:result:"The Ghost of Christmas Present is a spirit that reveals to Scrooge the joys and struggles of the present Christmas season, emphasizing generosity and compassion.""The Ghost of Christmas Present is a spirit that represents generosity and joy, playing a pivotal role in teaching Scrooge valuable lessons about kindness and the Christmas spirit.""The Ghost of Christmas Present is a spirit that reveals the current struggles and joys of others, influencing Scrooge\'s perspective.""The Ghost of Christmas Present is a spirit that represents generosity and joy, playing a pivotal role in teaching Scrooge valuable lessons about kindness and the Christmas spirit.""The Ghost of Christmas Present is a spirit that reveals the current struggles and joys of others, influencing Scrooge\'s perspective."', 'source_id': 'chunk-9e3921da66da5d761ab73cd849af6c43chunk-843b5b2f944c7413d9ca876e2e2f151f'}> +2024-10-30 05:52:21,010 - lightrag - INFO - _do_upsert:query: + MERGE (n:`GHOST OF CHRISTMAS PRESENT`) + SET n += $properties + RETURN n + :result:{'entity_type': '"EVENT"', 'description': '"The Ghost of Christmas Present is a spirit that embodies generosity and abundance, leading Scrooge to self-reflection and understanding.""The Ghost of Christmas Present is a spirit that reveals to Scrooge the joys and struggles of the present Christmas season, emphasizing generosity and compassion.""The Ghost of Christmas Present is a spirit that represents generosity and joy, playing a pivotal role in teaching Scrooge valuable lessons about kindness and the Christmas spirit.""The Ghost of Christmas Present is a spirit that reveals the current struggles and joys of others, influencing Scrooge\'s perspective.""The Ghost of Christmas Present is a spirit that represents generosity and joy, playing a pivotal role in teaching Scrooge valuable lessons about kindness and the Christmas spirit.""The Ghost of Christmas Present is a spirit that reveals the current struggles and joys of others, influencing Scrooge\'s perspective.""The Ghost of Christmas Present is a spirit that represents generosity and joy, playing a pivotal role in teaching Scrooge valuable lessons about kindness and the Christmas spirit.""The Ghost of Christmas Present is a spirit that reveals the current struggles and joys of others, influencing Scrooge\'s perspective."', 'source_id': 'chunk-843b5b2f944c7413d9ca876e2e2f151fchunk-9e3921da66da5d761ab73cd849af6c43'} +2024-10-30 05:52:21,139 - lightrag - INFO - get_node:query:MATCH (n:`GHOST OF CHRISTMAS YET TO COME`) RETURN n:result:"The Ghost of Christmas Yet to Come is a foreboding spirit that shows Scrooge the potential consequences of his actions if he does not change.""The Ghost of Christmas Yet to Come is an apparition that presents Scrooge with a grim vision of his possible future if he doesn\'t change his ways.""The Ghost of Christmas Yet to Come is an event within the story that signifies Scrooge\'s confrontation with the future consequences of his actions.""The Ghost of Christmas Yet to Come signifies a pivotal moment where Scrooge is confronted with the potential futures resulting from his life choices.""The Ghost of Christmas Yet to Come signifies a pivotal moment where Scrooge is confronted with the potential futures resulting from his life choices."', 'source_id': 'chunk-9e3921da66da5d761ab73cd849af6c43chunk-02baee20cc9463dbe08170a8e1043e32'}> +2024-10-30 05:52:21,274 - lightrag - INFO - _do_upsert:query: + MERGE (n:`GHOST OF CHRISTMAS YET TO COME`) + SET n += $properties + RETURN n + :result:{'entity_type': '"EVENT"', 'description': '"The Ghost of Christmas Yet to Come is a foreboding spirit that shows Scrooge the potential consequences of his actions if he does not change.""The Ghost of Christmas Yet to Come is a foreboding spirit that shows Scrooge the potential consequences of his actions if he does not change.""The Ghost of Christmas Yet to Come is a foreboding spirit that shows Scrooge the potential consequences of his actions if he does not change.""The Ghost of Christmas Yet to Come is an apparition that presents Scrooge with a grim vision of his possible future if he doesn\'t change his ways.""The Ghost of Christmas Yet to Come is an event within the story that signifies Scrooge\'s confrontation with the future consequences of his actions.""The Ghost of Christmas Yet to Come signifies a pivotal moment where Scrooge is confronted with the potential futures resulting from his life choices.""The Ghost of Christmas Yet to Come signifies a pivotal moment where Scrooge is confronted with the potential futures resulting from his life choices.""The Ghost of Christmas Yet to Come signifies a pivotal moment where Scrooge is confronted with the potential futures resulting from his life choices."', 'source_id': 'chunk-02baee20cc9463dbe08170a8e1043e32chunk-9e3921da66da5d761ab73cd849af6c43'} +2024-10-30 05:52:21,406 - lightrag - INFO - get_node:query:MATCH (n:`FRED`) RETURN n:result:"Fred is Scrooge\'s nephew who expresses admiration for his uncle and proposes a toast in his honor during a Christmas gathering.""Fred is Scrooge\'s nephew, mentioned in the context of Scrooge\'s visit to his house.""Fred is Scrooge\'s nephew, representing the warmth and joy of family that Scrooge initially rejects.""Fred is Scrooge\'s niece by marriage who expresses surprise and warmth at Scrooge\'s unexpected visit for dinner.""Fred is Ebenezer Scrooge\'s nephew, who embodies the spirit of Christmas and represents familial love and joy.""Fred is Scrooge\'s nephew who expresses admiration for Scrooge and raises a toast to his uncle during a Christmas gathering.""Fred is Scrooge\'s nephew, representing familial love and the joy of Christmas gatherings.""Fred is Scrooge\'s nephew, who invites Scrooge to dinner, emphasizing familial connections and the spirit of Christmas.""Fred is Scrooge\'s nephew, who is surprised by Scrooge\'s visit and is depicted as a friendly figure during the Christmas gathering.""Fred is Ebenezer Scrooge\'s nephew, who embodies the spirit of Christmas and represents familial love and joy.""Fred is Scrooge\'s nephew who expresses admiration for Scrooge and raises a toast to his uncle during a Christmas gathering.""Fred is Scrooge\'s nephew, representing familial love and the joy of Christmas gatherings.""Fred is Scrooge\'s nephew, who invites Scrooge to dinner, emphasizing familial connections and the spirit of Christmas.""Fred is Scrooge\'s nephew, who is surprised by Scrooge\'s visit and is depicted as a friendly figure during the Christmas gathering."', 'source_id': 'chunk-94bea83e7153fc2064aa382b494936a1chunk-9e3921da66da5d761ab73cd849af6c43chunk-89777b838d5447c7bd1ec11282c4ee89chunk-8f738cb25d60a7dab782162d9d0a25edchunk-e7637ff18c5ded77a68cce0a87883fad'}> +2024-10-30 05:52:21,408 - lightrag - DEBUG - Trigger summary: "FRED" +2024-10-30 05:52:21,510 - lightrag - INFO - get_node:query:MATCH (n:`MRS. CRATCHIT`) RETURN n:result:chunk-9e3921da66da5d761ab73cd849af6c43chunk-19d72c57ae3408758b18d2568e86dc6bchunk-503f0bfa5453467c7c61d160a3540ecachunk-1d4b58de5429cd1261370c231c8673e8chunk-b0f459f5af1c3a5e0b92cbe4ee48b77bchunk-7e2e7ebcc19a53b399dc03aded4743e7'}> +2024-10-30 05:52:21,643 - lightrag - INFO - _do_upsert:query: + MERGE (n:`MRS. CRATCHIT`) + SET n += $properties + RETURN n + :result:{'entity_type': '"PERSON"', 'description': '"Mrs. Cratchit is Bob\'s wife, portrayed as devoted and hardworking, striving to create a joyous atmosphere for her family despite limited resources.""Mrs. Cratchit is Bob\'s wife, proud of her cooking skills, particularly the Christmas pudding, and plays a central role in the family\'s holiday celebration.""Mrs. Cratchit is Bob\'s wife, who expresses care for her family and shares in the emotional moments surrounding Tiny Tim\'s health.""Mrs. Cratchit is portrayed as outspoken and resentful towards Scrooge, yet ultimately participates in the Christmas festivities for her family\'s sake.""Mrs. Cratchit is the mother of the Cratchit family, depicted as nurturing and energetic, managing the Christmas preparations and caring for her children.""Mrs. Cratchit is the wife of Bob Cratchit, who supports her family and embodies warmth and resilience despite their struggles.""Mrs. Cratchit, the wife of Bob, is industrious and caring, focused on the well-being of her family."Mrs. Cratchit is depicted as Bob Cratchit\'s supportive and industrious wife, embodying warmth and resilience amidst their financial struggles. She plays a central role in managing the household and preparing festive meals, notably the Christmas pudding, showcasing her pride in family traditions and her cooking skills. Despite feeling strong disdain for Scrooge, she passionately engages in the Christmas festivities for the sake of her family, reflecting her nurturing nature and concern for her children\'s well-being, particularly in regard to Tiny Tim\'s health. Throughout the holiday preparations, Mrs. Cratchit displays her devotion and care, striving to create a joyous atmosphere despite their limited resources. She is portrayed as both outspoken and energetic, contributing to the emotional dynamics of the family while remaining focused on their shared experiences during the Christmas celebration.', 'source_id': 'chunk-19d72c57ae3408758b18d2568e86dc6bchunk-91572b3cd42786ba4cb2f180ca25cbf4chunk-503f0bfa5453467c7c61d160a3540ecachunk-1d4b58de5429cd1261370c231c8673e8chunk-b0f459f5af1c3a5e0b92cbe4ee48b77bchunk-7e2e7ebcc19a53b399dc03aded4743e7chunk-9e3921da66da5d761ab73cd849af6c43'} +2024-10-30 05:52:21,773 - lightrag - INFO - get_node:query:MATCH (n:`BELINDA CRATCHIT`) RETURN n:result:"Belinda Cratchit is one of Bob Cratchit\'s daughters, assisting her mother in laying the dining cloth.""Belinda is a daughter of Bob and Mrs. Cratchit, representing the Cratchit family\'s love and unity during difficult times.""Belinda Cratchit is one of Bob\'s daughters, assisting in household tasks and showing a strong familial bond.""Belinda is the daughter of Bob and Mrs. Cratchit, representing the innocence and joyful spirit of the Cratchit family.""Belinda Cratchit is one of Bob\'s daughters, assisting in household tasks and showing a strong familial bond.""Belinda is the daughter of Bob and Mrs. Cratchit, representing the innocence and joyful spirit of the Cratchit family."', 'source_id': 'chunk-9e3921da66da5d761ab73cd849af6c43chunk-7e2e7ebcc19a53b399dc03aded4743e7chunk-b0f459f5af1c3a5e0b92cbe4ee48b77b'}> +2024-10-30 05:52:21,908 - lightrag - INFO - _do_upsert:query: + MERGE (n:`BELINDA CRATCHIT`) + SET n += $properties + RETURN n + :result:{'entity_type': '"PERSON"', 'description': '"Belinda Cratchit is another daughter in the Cratchit family, depicted as participating in the festive meal by sweetening the apple sauce, showcasing her involvement in family traditions.""Belinda Cratchit is one of Bob Cratchit\'s daughters, assisting her mother in laying the dining cloth.""Belinda is a daughter of Bob and Mrs. Cratchit, representing the Cratchit family\'s love and unity during difficult times.""Belinda Cratchit is one of Bob\'s daughters, assisting in household tasks and showing a strong familial bond.""Belinda is the daughter of Bob and Mrs. Cratchit, representing the innocence and joyful spirit of the Cratchit family.""Belinda Cratchit is one of Bob\'s daughters, assisting in household tasks and showing a strong familial bond.""Belinda is the daughter of Bob and Mrs. Cratchit, representing the innocence and joyful spirit of the Cratchit family.""Belinda Cratchit is one of Bob\'s daughters, assisting in household tasks and showing a strong familial bond.""Belinda is the daughter of Bob and Mrs. Cratchit, representing the innocence and joyful spirit of the Cratchit family."', 'source_id': 'chunk-b0f459f5af1c3a5e0b92cbe4ee48b77bchunk-7e2e7ebcc19a53b399dc03aded4743e7chunk-9e3921da66da5d761ab73cd849af6c43'} +2024-10-30 05:52:22,043 - lightrag - INFO - get_node:query:MATCH (n:`MARTHA CRATCHIT`) RETURN n:result:"Martha is another daughter of Bob and Mrs. Cratchit, who, like her sister Belinda, symbolizes the warmth and togetherness in the Cratchit household.""Martha Cratchit is a daughter of Bob and Mrs. Cratchit, working as an apprentice at a milliner\'s and looking forward to the holiday for a good rest.""Martha is another daughter of Bob and Mrs. Cratchit, who shows love and care for her family.""Martha Cratchit is a daughter of Bob and Mrs. Cratchit, working as an apprentice at a milliner\'s and looking forward to the holiday for a good rest.""Martha is another daughter of Bob and Mrs. Cratchit, who shows love and care for her family."', 'source_id': 'chunk-9e3921da66da5d761ab73cd849af6c43chunk-19d72c57ae3408758b18d2568e86dc6bchunk-7e2e7ebcc19a53b399dc03aded4743e7'}> +2024-10-30 05:52:22,178 - lightrag - INFO - _do_upsert:query: + MERGE (n:`MARTHA CRATCHIT`) + SET n += $properties + RETURN n + :result:{'entity_type': '"PERSON"', 'description': '"Martha Cratchit is a daughter in the Cratchit family who contributes to the household and shows affection for her family, particularly her father Bob.""Martha is another daughter of Bob and Mrs. Cratchit, who, like her sister Belinda, symbolizes the warmth and togetherness in the Cratchit household.""Martha Cratchit is a daughter of Bob and Mrs. Cratchit, working as an apprentice at a milliner\'s and looking forward to the holiday for a good rest.""Martha is another daughter of Bob and Mrs. Cratchit, who shows love and care for her family.""Martha Cratchit is a daughter of Bob and Mrs. Cratchit, working as an apprentice at a milliner\'s and looking forward to the holiday for a good rest.""Martha is another daughter of Bob and Mrs. Cratchit, who shows love and care for her family.""Martha Cratchit is a daughter of Bob and Mrs. Cratchit, working as an apprentice at a milliner\'s and looking forward to the holiday for a good rest.""Martha is another daughter of Bob and Mrs. Cratchit, who shows love and care for her family."', 'source_id': 'chunk-7e2e7ebcc19a53b399dc03aded4743e7chunk-19d72c57ae3408758b18d2568e86dc6bchunk-9e3921da66da5d761ab73cd849af6c43'} +2024-10-30 05:52:22,311 - lightrag - INFO - get_node:query:MATCH (n:`JOE`) RETURN n:result:"Joe is a marine-store dealer depicted as receiving stolen goods, illustrating the consequences of crime and the darker sides of society.""Joe is portrayed as a character engaged in a conversation about the deceased, displaying a mix of humor and practicality in dealing with the possessions of the dead.""Joe is a character who interacts with others, demonstrating a sense of curiosity and disbelief regarding certain situations and comments.""Joe is a marine-store dealer and receiver of stolen goods, indicative of the darker, more unscrupulous elements of society.""Joe is an old character who engages in conversation about the deceased man\'s belongings, revealing his pragmatic and somewhat cynical perspective on life and death.""Joe is a character who interacts with others, demonstrating a sense of curiosity and disbelief regarding certain situations and comments.""Joe is a marine-store dealer and receiver of stolen goods, indicative of the darker, more unscrupulous elements of society.""Joe is an old character who engages in conversation about the deceased man\'s belongings, revealing his pragmatic and somewhat cynical perspective on life and death."', 'source_id': 'chunk-9e3921da66da5d761ab73cd849af6c43chunk-89777b838d5447c7bd1ec11282c4ee89chunk-e1f29eeadc1d8ab46dc8a0bbd3c56b64'}> +2024-10-30 05:52:22,447 - lightrag - INFO - _do_upsert:query: + MERGE (n:`JOE`) + SET n += $properties + RETURN n + :result:{'entity_type': '"PERSON"', 'description': '"Joe is a character engaged in a conversation, displaying curiosity and a sense of humor regarding a situation related to \'bed-curtains\'.""Joe is a marine-store dealer depicted as receiving stolen goods, illustrating the consequences of crime and the darker sides of society.""Joe is portrayed as a character engaged in a conversation about the deceased, displaying a mix of humor and practicality in dealing with the possessions of the dead.""Joe is a character who interacts with others, demonstrating a sense of curiosity and disbelief regarding certain situations and comments.""Joe is a marine-store dealer and receiver of stolen goods, indicative of the darker, more unscrupulous elements of society.""Joe is an old character who engages in conversation about the deceased man\'s belongings, revealing his pragmatic and somewhat cynical perspective on life and death.""Joe is a character who interacts with others, demonstrating a sense of curiosity and disbelief regarding certain situations and comments.""Joe is a marine-store dealer and receiver of stolen goods, indicative of the darker, more unscrupulous elements of society.""Joe is an old character who engages in conversation about the deceased man\'s belongings, revealing his pragmatic and somewhat cynical perspective on life and death.""Joe is a character who interacts with others, demonstrating a sense of curiosity and disbelief regarding certain situations and comments.""Joe is a marine-store dealer and receiver of stolen goods, indicative of the darker, more unscrupulous elements of society.""Joe is an old character who engages in conversation about the deceased man\'s belongings, revealing his pragmatic and somewhat cynical perspective on life and death."', 'source_id': 'chunk-89777b838d5447c7bd1ec11282c4ee89chunk-e1f29eeadc1d8ab46dc8a0bbd3c56b64chunk-9e3921da66da5d761ab73cd849af6c43'} +2024-10-30 05:52:22,583 - lightrag - INFO - get_node:query:MATCH (n:`GHOST OF JACOB MARLEY`) RETURN n:result:"The Ghost of Jacob Marley is the specter of Scrooge\'s former business partner, who warns Scrooge to change his ways.""The Ghost of Jacob Marley is the specter of Scrooge\'s former business partner, who warns Scrooge to change his ways."', 'source_id': 'chunk-9e3921da66da5d761ab73cd849af6c43'}> +2024-10-30 05:52:22,717 - lightrag - INFO - _do_upsert:query: + MERGE (n:`GHOST OF JACOB MARLEY`) + SET n += $properties + RETURN n + :result:{'entity_type': '"EVENT"', 'description': '"The Ghost of Jacob Marley is Scrooge\'s deceased business partner who returns as a spirit to warn Scrooge about the consequences of his life choices and to encourage change.""The Ghost of Jacob Marley is the specter of Scrooge\'s former business partner, who warns Scrooge to change his ways.""The Ghost of Jacob Marley is the specter of Scrooge\'s former business partner, who warns Scrooge to change his ways.""The Ghost of Jacob Marley is the specter of Scrooge\'s former business partner, who warns Scrooge to change his ways."', 'source_id': 'chunk-9e3921da66da5d761ab73cd849af6c43'} +2024-10-30 05:52:22,844 - lightrag - INFO - get_node:query:MATCH (n:`FAN`) RETURN n:result:"Fan is Ebenezer Scrooge\'s sister, who represents love and kindness from Scrooge\'s past, influencing his character development.""Fan is Scrooge\'s caring sister who represents innocence and love, showcasing a more tender side of Scrooge’s past.""Fan is Scrooge\'s younger sister, who brings joy and the promise of a happier home, reflecting on their childhood relationship.""Fan is Scrooge\'s younger sister, who brings joy and the promise of a happier home, reflecting on their childhood relationship."', 'source_id': 'chunk-9e3921da66da5d761ab73cd849af6c43chunk-c6c248858d1b13ab7ee9ca13c1aeed6b'}> +2024-10-30 05:52:22,980 - lightrag - INFO - _do_upsert:query: + MERGE (n:`FAN`) + SET n += $properties + RETURN n + :result:{'entity_type': '"PERSON"', 'description': '"Fan is Ebenezer Scrooge\'s sister, who represents love and kindness from Scrooge\'s past, influencing his character development.""Fan is Ebenezer Scrooge\'s sister, who represents love and kindness from Scrooge\'s past, influencing his character development.""Fan is Ebenezer Scrooge\'s sister, who represents love and kindness from Scrooge\'s past, influencing his character development.""Fan is Scrooge\'s caring sister who represents innocence and love, showcasing a more tender side of Scrooge’s past.""Fan is Scrooge\'s younger sister, who brings joy and the promise of a happier home, reflecting on their childhood relationship.""Fan is Scrooge\'s younger sister, who brings joy and the promise of a happier home, reflecting on their childhood relationship.""Fan is Scrooge\'s younger sister, who brings joy and the promise of a happier home, reflecting on their childhood relationship."', 'source_id': 'chunk-c6c248858d1b13ab7ee9ca13c1aeed6bchunk-9e3921da66da5d761ab73cd849af6c43'} +2024-10-30 05:52:23,110 - lightrag - INFO - get_node:query:MATCH (n:`MRS. FEZZIWIG`) RETURN n:result:"Mrs. Fezziwig is the kind partner of Mr. Fezziwig, contributing to the festive atmosphere of their celebrations, emphasizing the importance of joyous gatherings.""Mrs. Fezziwig is the wife of Fezziwig, joining him in celebrations and dances, embodying warmth and partnership.""Mrs. Fezziwig is the wife of Fezziwig, participating in the dance, representing companionship and festive cheer.""Mrs. Fezziwig is noted for her smile and participation in the festivities, particularly in dancing with Fezziwig.""Mrs. Fezziwig is the partner of Mr. Fezziwig, known for her warmth and joyous nature during Christmas celebrations.""Mrs. Fezziwig partners with Fezziwig in hosting the domestic ball, contributing to the warmth and cheer of the event.""Mrs. Fezziwig is noted for her smile and participation in the festivities, particularly in dancing with Fezziwig.""Mrs. Fezziwig is the partner of Mr. Fezziwig, known for her warmth and joyous nature during Christmas celebrations.""Mrs. Fezziwig partners with Fezziwig in hosting the domestic ball, contributing to the warmth and cheer of the event."', 'source_id': 'chunk-9e3921da66da5d761ab73cd849af6c43chunk-89777b838d5447c7bd1ec11282c4ee89chunk-8bc1edd983869352d14cf0886a9175a7chunk-b2f98bc7abb0c67d4c86055c7fd72218'}> +2024-10-30 05:52:23,245 - lightrag - INFO - _do_upsert:query: + MERGE (n:`MRS. FEZZIWIG`) + SET n += $properties + RETURN n + :result:{'entity_type': '"PERSON"', 'description': '"Mrs. Fezziwig is Fezziwig\'s partner at the domestic ball, contributing to the festive atmosphere alongside her husband.""Mrs. Fezziwig is the kind partner of Mr. Fezziwig, contributing to the festive atmosphere of their celebrations, emphasizing the importance of joyous gatherings.""Mrs. Fezziwig is the wife of Fezziwig, joining him in celebrations and dances, embodying warmth and partnership.""Mrs. Fezziwig is the wife of Fezziwig, participating in the dance, representing companionship and festive cheer.""Mrs. Fezziwig is noted for her smile and participation in the festivities, particularly in dancing with Fezziwig.""Mrs. Fezziwig is the partner of Mr. Fezziwig, known for her warmth and joyous nature during Christmas celebrations.""Mrs. Fezziwig partners with Fezziwig in hosting the domestic ball, contributing to the warmth and cheer of the event.""Mrs. Fezziwig is noted for her smile and participation in the festivities, particularly in dancing with Fezziwig.""Mrs. Fezziwig is the partner of Mr. Fezziwig, known for her warmth and joyous nature during Christmas celebrations.""Mrs. Fezziwig partners with Fezziwig in hosting the domestic ball, contributing to the warmth and cheer of the event.""Mrs. Fezziwig is noted for her smile and participation in the festivities, particularly in dancing with Fezziwig.""Mrs. Fezziwig is the partner of Mr. Fezziwig, known for her warmth and joyous nature during Christmas celebrations.""Mrs. Fezziwig partners with Fezziwig in hosting the domestic ball, contributing to the warmth and cheer of the event."', 'source_id': 'chunk-89777b838d5447c7bd1ec11282c4ee89chunk-8bc1edd983869352d14cf0886a9175a7chunk-b2f98bc7abb0c67d4c86055c7fd72218chunk-9e3921da66da5d761ab73cd849af6c43'} +2024-10-30 05:52:23,394 - lightrag - INFO - get_node:query:MATCH (n:`FEZZIWIG`) RETURN n:result:"Fezziwig is a character known for hosting a domestic ball that brings joy and merriment to the participants, showcasing his ability to create happiness.""Fezziwig is a character noted for his role during a domestic ball, providing a joyful atmosphere and exemplifying kindness and generosity.""Fezziwig is a figure representing a cheerful and jovial employer who organizes lively Christmas festivities for his employees.""Fezziwig is a jovial figure from Scrooge\'s past, known for his kind-heartedness and as a former employer who embodies the spirit of Christmas.""Fezziwig is depicted as a joyful character who dances with his wife and embodies the spirit of Christmas.""Fezziwig is a joyful and lively character who dances with Mrs. Fezziwig, embodying the festive spirit of Christmas.""Fezziwig is presented as Scrooge\'s former employer, known for his jovial nature and generous spirit, who plays a significant role in Scrooge\'s memories.""Fezziwig is the owner of a business where festive celebrations take place, known for his jovial character and ability to create a lively atmosphere.""Fezziwig is a joyful and lively character who dances with Mrs. Fezziwig, embodying the festive spirit of Christmas.""Fezziwig is presented as Scrooge\'s former employer, known for his jovial nature and generous spirit, who plays a significant role in Scrooge\'s memories.""Fezziwig is the owner of a business where festive celebrations take place, known for his jovial character and ability to create a lively atmosphere."', 'source_id': 'chunk-b2f98bc7abb0c67d4c86055c7fd72218chunk-c6c248858d1b13ab7ee9ca13c1aeed6bchunk-8bc1edd983869352d14cf0886a9175a7chunk-89777b838d5447c7bd1ec11282c4ee89'}> +2024-10-30 05:52:23,396 - lightrag - DEBUG - Trigger summary: "FEZZIWIG" +2024-10-30 05:52:23,517 - lightrag - INFO - get_node:query:MATCH (n:`SCROOGE`) RETURN n:result:chunk-19d72c57ae3408758b18d2568e86dc6bchunk-d9aac3484185ac66045df92214d245d5chunk-b0f459f5af1c3a5e0b92cbe4ee48b77bchunk-74e2466de2f67fd710ef2f20c0a8d9e0chunk-90d5764e301321c087f5a8f78b73a145chunk-89777b838d5447c7bd1ec11282c4ee89chunk-da2472b4ef2a535b62908f14d0fb0ca9chunk-8590d9263cd2cd4fa583c432fc54e6c3chunk-e7637ff18c5ded77a68cce0a87883fadchunk-9c43dac2fcd5b578242d907ea6f8fc7bchunk-e1f29eeadc1d8ab46dc8a0bbd3c56b64chunk-91614df5cb74cbe5e109a338a82041e9chunk-90b95db5c53e4364a6bee36b7aa4d70fchunk-1aa50206d02ed89418f65f97c6441d1cchunk-43c9bee23adfa77aa9dedd22401bba7dchunk-02baee20cc9463dbe08170a8e1043e32chunk-f1a4fbcf1ed86864b9bfd5e8dba4c683chunk-773d0df1dd25c356f7b771d780583e09chunk-5dac41b3f9eeaf794f0147400b1718cdchunk-503f0bfa5453467c7c61d160a3540ecachunk-91572b3cd42786ba4cb2f180ca25cbf4chunk-cb661c37436355ccec2769b1d0350c5fchunk-b2f98bc7abb0c67d4c86055c7fd72218chunk-359187e7571bda4b0b08b2e0b6581e52chunk-99b0ec7f7e006561352b5d65e849611dchunk-8f738cb25d60a7dab782162d9d0a25edchunk-843b5b2f944c7413d9ca876e2e2f151fchunk-83ac129dc9b56f84c46760d153d68e93chunk-c6c248858d1b13ab7ee9ca13c1aeed6bchunk-54bdd22db1f84a965b5f4c06c9216d8dchunk-c7b10789a9cb0af6c553730b29bd9034chunk-bb21d58d36c6306fd8810ddd51c4a971'}> +2024-10-30 05:52:23,521 - lightrag - DEBUG - Trigger summary: "SCROOGE" +2024-10-30 05:52:23,620 - lightrag - INFO - get_node:query:MATCH (n:`MARLEY`) RETURN n:result:"Marley is Scrooge\'s deceased business partner whose presence looms over the story, symbolizing the consequences of a life similar to Scrooge\'s.""Marley is Scrooge\'s deceased business partner, whose death is a significant event that sets the tone for the story.""Marley is Scrooge\'s deceased business partner, whose death is mentioned as impactful, having passed seven years prior to the events in the text.""Marley is Scrooge\'s deceased business partner, whose spectral presence looms over Scrooge, evoking themes of regret and the supernatural.""Marley is Scrooge\'s deceased partner whose death is emphasized, and who impacts Scrooge\'s story through memories and reflections.""Marley is a character who, although only mentioned, has had a significant influence on Scrooge\'s life and perspective, representing his past connections.""Marley is a deceased character whose ghost appears to Scrooge, representing regret and the consequences of a life led without compassion.""Marley is depicted as a ghost, having a pigtail, waistcoat, tights, and boots, and is central to Scrooge\'s haunting experience.""Marley is Scrooge\'s deceased business partner, whose death is a significant event that sets the tone for the story.""Marley is Scrooge\'s deceased business partner, whose death is mentioned as impactful, having passed seven years prior to the events in the text.""Marley is depicted as a ghost, having a pigtail, waistcoat, tights, and boots, and is central to Scrooge\'s haunting experience."', 'source_id': 'chunk-843b5b2f944c7413d9ca876e2e2f151fchunk-5dac41b3f9eeaf794f0147400b1718cdchunk-d9aac3484185ac66045df92214d245d5chunk-9c43dac2fcd5b578242d907ea6f8fc7bchunk-89777b838d5447c7bd1ec11282c4ee89'}> +2024-10-30 05:52:23,622 - lightrag - DEBUG - Trigger summary: "MARLEY" +2024-10-30 05:52:23,718 - lightrag - INFO - get_node:query:MATCH (n:`CHRISTMAS`) RETURN n:result:chunk-74e2466de2f67fd710ef2f20c0a8d9e0chunk-90d5764e301321c087f5a8f78b73a145chunk-89777b838d5447c7bd1ec11282c4ee89chunk-da2472b4ef2a535b62908f14d0fb0ca9chunk-8590d9263cd2cd4fa583c432fc54e6c3chunk-e7637ff18c5ded77a68cce0a87883fadchunk-91614df5cb74cbe5e109a338a82041e9chunk-43c9bee23adfa77aa9dedd22401bba7dchunk-02baee20cc9463dbe08170a8e1043e32chunk-773d0df1dd25c356f7b771d780583e09chunk-5dac41b3f9eeaf794f0147400b1718cdchunk-503f0bfa5453467c7c61d160a3540ecachunk-91572b3cd42786ba4cb2f180ca25cbf4chunk-99b0ec7f7e006561352b5d65e849611dchunk-1d4b58de5429cd1261370c231c8673e8chunk-c6c248858d1b13ab7ee9ca13c1aeed6bchunk-54bdd22db1f84a965b5f4c06c9216d8dchunk-8f738cb25d60a7dab782162d9d0a25ed'}> +2024-10-30 05:52:23,721 - lightrag - DEBUG - Trigger summary: "CHRISTMAS" +2024-10-30 05:52:23,818 - lightrag - INFO - get_node:query:MATCH (n:`THE WAREHOUSE`) RETURN n:result:"The Warehouse is the setting for Fezziwig\'s celebrations, transformed into a ballroom for the festivities.""The Warehouse is the place of business shared by Scrooge and Marley, a symbol of their partnership in life and business.""The Warehouse serves as the setting for Scrooge\'s memories of Fezziwig\'s jovial nature and the lively gatherings during his apprenticeship.""The Warehouse is the place of business shared by Scrooge and Marley, a symbol of their partnership in life and business.""The Warehouse serves as the setting for Scrooge\'s memories of Fezziwig\'s jovial nature and the lively gatherings during his apprenticeship."', 'source_id': 'chunk-c6c248858d1b13ab7ee9ca13c1aeed6bchunk-8bc1edd983869352d14cf0886a9175a7chunk-89777b838d5447c7bd1ec11282c4ee89'}> +2024-10-30 05:52:23,958 - lightrag - INFO - _do_upsert:query: + MERGE (n:`THE WAREHOUSE`) + SET n += $properties + RETURN n + :result:{'entity_type': '"ORGANIZATION"', 'description': '"The Warehouse is a specific location where Scrooge had previously apprenticed and holds significant memories for him.""The Warehouse is the setting for Fezziwig\'s celebrations, transformed into a ballroom for the festivities.""The Warehouse is the place of business shared by Scrooge and Marley, a symbol of their partnership in life and business.""The Warehouse serves as the setting for Scrooge\'s memories of Fezziwig\'s jovial nature and the lively gatherings during his apprenticeship.""The Warehouse is the place of business shared by Scrooge and Marley, a symbol of their partnership in life and business.""The Warehouse serves as the setting for Scrooge\'s memories of Fezziwig\'s jovial nature and the lively gatherings during his apprenticeship.""The Warehouse is the place of business shared by Scrooge and Marley, a symbol of their partnership in life and business.""The Warehouse serves as the setting for Scrooge\'s memories of Fezziwig\'s jovial nature and the lively gatherings during his apprenticeship."', 'source_id': 'chunk-89777b838d5447c7bd1ec11282c4ee89chunk-8bc1edd983869352d14cf0886a9175a7chunk-c6c248858d1b13ab7ee9ca13c1aeed6b'} +2024-10-30 05:52:24,089 - lightrag - INFO - get_node:query:MATCH (n:`THE WOMAN`) RETURN n:result:"The Woman is a character involved in the dialogue about the deceased\'s belongings, showing a carefree attitude towards their former owner.""The Woman is a character who enters the shop with a heavy bundle and demonstrates a bold and defiant demeanor, eager to take part in the conversation about the deceased\'s belongings.""The Woman engages in conversation with Joe, providing light-hearted responses and laughing at the absurdity of their discussions.""The Woman is an unknown character, bold and defiant, who instigates the gathering and discusses the deceased with a lack of reverence.""The Woman is another character who interacts with Joe, demonstrating a lack of reverence for the deceased and a focus on material gain.""The Woman engages in conversation with Joe, providing light-hearted responses and laughing at the absurdity of their discussions.""The Woman is an unknown character, bold and defiant, who instigates the gathering and discusses the deceased with a lack of reverence.""The Woman is another character who interacts with Joe, demonstrating a lack of reverence for the deceased and a focus on material gain."', 'source_id': 'chunk-60fc063c79fc0d4acc91a57e79de04dcchunk-89777b838d5447c7bd1ec11282c4ee89chunk-e1f29eeadc1d8ab46dc8a0bbd3c56b64'}> +2024-10-30 05:52:24,223 - lightrag - INFO - _do_upsert:query: + MERGE (n:`THE WOMAN`) + SET n += $properties + RETURN n + :result:{'entity_type': '"PERSON"', 'description': '"The Woman engages in a humorous exchange with Joe about taking down bed-curtains, showcasing lively communication among characters.""The Woman is a character involved in the dialogue about the deceased\'s belongings, showing a carefree attitude towards their former owner.""The Woman is a character who enters the shop with a heavy bundle and demonstrates a bold and defiant demeanor, eager to take part in the conversation about the deceased\'s belongings.""The Woman engages in conversation with Joe, providing light-hearted responses and laughing at the absurdity of their discussions.""The Woman is an unknown character, bold and defiant, who instigates the gathering and discusses the deceased with a lack of reverence.""The Woman is another character who interacts with Joe, demonstrating a lack of reverence for the deceased and a focus on material gain.""The Woman engages in conversation with Joe, providing light-hearted responses and laughing at the absurdity of their discussions.""The Woman is an unknown character, bold and defiant, who instigates the gathering and discusses the deceased with a lack of reverence.""The Woman is another character who interacts with Joe, demonstrating a lack of reverence for the deceased and a focus on material gain.""The Woman engages in conversation with Joe, providing light-hearted responses and laughing at the absurdity of their discussions.""The Woman is an unknown character, bold and defiant, who instigates the gathering and discusses the deceased with a lack of reverence.""The Woman is another character who interacts with Joe, demonstrating a lack of reverence for the deceased and a focus on material gain."', 'source_id': 'chunk-89777b838d5447c7bd1ec11282c4ee89chunk-60fc063c79fc0d4acc91a57e79de04dcchunk-e1f29eeadc1d8ab46dc8a0bbd3c56b64'} +2024-10-30 05:52:24,355 - lightrag - INFO - get_node:query:MATCH (n:`TIM`) RETURN n:result: +2024-10-30 05:52:24,487 - lightrag - INFO - _do_upsert:query: + MERGE (n:`TIM`) + SET n += $properties + RETURN n + :result:{'entity_type': '"PERSON"', 'description': '"Tim is mentioned as someone important to Scrooge, indicating familial ties and possibly evoking sympathy and regret from Scrooge\'s character."', 'source_id': 'chunk-89777b838d5447c7bd1ec11282c4ee89'} +2024-10-30 05:52:24,614 - lightrag - INFO - get_node:query:MATCH (n:`THE LACE TUCKER`) RETURN n:result:"The Lace Tucker is a fashionable accessory worn by one of Scrooge\'s Niece\'s sisters, representing the social settings and themes of appearance in the gathering.""The Lace Tucker is a small event within the text, illustrating moments of humor and social interactions among characters.""The Lace Tucker is a small event within the text, illustrating moments of humor and social interactions among characters."', 'source_id': 'chunk-89777b838d5447c7bd1ec11282c4ee89chunk-773d0df1dd25c356f7b771d780583e09'}> +2024-10-30 05:52:24,744 - lightrag - INFO - _do_upsert:query: + MERGE (n:`THE LACE TUCKER`) + SET n += $properties + RETURN n + :result:{'entity_type': '"EVENT"', 'description': '"The Lace Tucker is a fashionable accessory worn by one of Scrooge\'s Niece\'s sisters, representing the social settings and themes of appearance in the gathering.""The Lace Tucker is a fashionable accessory worn by one of Scrooge\'s Niece\'s sisters, representing the social settings and themes of appearance in the gathering.""The Lace Tucker is a fashionable accessory worn by one of Scrooge\'s Niece\'s sisters, representing the social settings and themes of appearance in the gathering.""The Lace Tucker is a small event within the text, illustrating moments of humor and social interactions among characters.""The Lace Tucker is a small event within the text, illustrating moments of humor and social interactions among characters.""The Lace Tucker is a small event within the text, illustrating moments of humor and social interactions among characters."', 'source_id': 'chunk-89777b838d5447c7bd1ec11282c4ee89chunk-773d0df1dd25c356f7b771d780583e09'} +2024-10-30 05:52:24,877 - lightrag - INFO - get_node:query:MATCH (n:`OLD SCROOGE`) RETURN n:result: +2024-10-30 05:52:25,011 - lightrag - INFO - _do_upsert:query: + MERGE (n:`OLD SCROOGE`) + SET n += $properties + RETURN n + :result:{'entity_type': '"PERSON"', 'description': '"Old Scrooge represents an earlier version of Scrooge, depicted in memories or recollections and emphasizing his character\'s history."', 'source_id': 'chunk-89777b838d5447c7bd1ec11282c4ee89'} +2024-10-30 05:52:25,134 - lightrag - INFO - get_node:query:MATCH (n:`THE FUNERAL`) RETURN n:result:"The Funeral is a context for conversation among characters, reflecting on mortality and social connections surrounding death.""The Funeral of Marley is a significant event that highlights Scrooge\'s relationship with Marley and sets the tone for their partnership and Scrooge\'s eventual path.""The Funeral serves as a significant event reflecting on Marley\'s death, noted for its business-like atmosphere as perceived by Scrooge.""The Funeral of Marley is a significant event that highlights Scrooge\'s relationship with Marley and sets the tone for their partnership and Scrooge\'s eventual path."', 'source_id': 'chunk-f1a4fbcf1ed86864b9bfd5e8dba4c683chunk-89777b838d5447c7bd1ec11282c4ee89'}> +2024-10-30 05:52:25,271 - lightrag - INFO - _do_upsert:query: + MERGE (n:`THE FUNERAL`) + SET n += $properties + RETURN n + :result:{'entity_type': '"EVENT"', 'description': '"The Funeral is a context for conversation among characters, reflecting on mortality and social connections surrounding death.""The Funeral is a context for conversation among characters, reflecting on mortality and social connections surrounding death.""The Funeral is a context for conversation among characters, reflecting on mortality and social connections surrounding death.""The Funeral of Marley is a significant event that highlights Scrooge\'s relationship with Marley and sets the tone for their partnership and Scrooge\'s eventual path.""The Funeral serves as a significant event reflecting on Marley\'s death, noted for its business-like atmosphere as perceived by Scrooge.""The Funeral of Marley is a significant event that highlights Scrooge\'s relationship with Marley and sets the tone for their partnership and Scrooge\'s eventual path.""The Funeral of Marley is a significant event that highlights Scrooge\'s relationship with Marley and sets the tone for their partnership and Scrooge\'s eventual path."', 'source_id': 'chunk-89777b838d5447c7bd1ec11282c4ee89chunk-f1a4fbcf1ed86864b9bfd5e8dba4c683'} +2024-10-30 05:52:25,401 - lightrag - INFO - get_node:query:MATCH (n:`SCROOGE'S NEPHEW`) RETURN n:result:"Scrooge\'s Nephew is a cheerful and optimistic character who challenges Scrooge\'s gloomy outlook on Christmas and life.""Scrooge\'s Nephew is a cheerful and optimistic character who represents the spirit of Christmas, opposing Scrooge\'s views.""Scrooge\'s Nephew is characterized by his contagious laughter and good humor, contrasting with his uncle\'s miserliness.""Scrooge\'s Nephew is portrayed as optimistic about Christmas, emphasizing its positive qualities despite Scrooge\'s negativity.""Scrooge\'s nephew is a character present at the gathering who actively participates in the games and engages with his family.""Scrooge\'s Nephew is a jovial character known for his infectious laughter and optimistic attitude towards Christmas, finding humor in Scrooge\'s ill temper and wealth.""Scrooge\'s Nephew is portrayed as warm-hearted and attempts to engage his uncle in the spirit of Christmas, despite Scrooge\'s rebuff.""Scrooge\'s nephew is portrayed as a joyful character who embodies laughter and good-humor, contrasting with Scrooge\'s initial persona.""Scrooge\'s Nephew is a jovial character known for his infectious laughter and optimistic attitude towards Christmas, finding humor in Scrooge\'s ill temper and wealth.""Scrooge\'s Nephew is portrayed as warm-hearted and attempts to engage his uncle in the spirit of Christmas, despite Scrooge\'s rebuff.""Scrooge\'s nephew is portrayed as a joyful character who embodies laughter and good-humor, contrasting with Scrooge\'s initial persona."', 'source_id': 'chunk-773d0df1dd25c356f7b771d780583e09chunk-5dac41b3f9eeaf794f0147400b1718cdchunk-74e2466de2f67fd710ef2f20c0a8d9e0chunk-91614df5cb74cbe5e109a338a82041e9chunk-43c9bee23adfa77aa9dedd22401bba7d'}> +2024-10-30 05:52:25,537 - lightrag - INFO - _do_upsert:query: + MERGE (n:`SCROOGE'S NEPHEW`) + SET n += $properties + RETURN n + :result:{'entity_type': '"PERSON"', 'description': '"Scrooge\'s Nephew is a cheerful and optimistic character who challenges Scrooge\'s gloomy outlook on Christmas and life.""Scrooge\'s Nephew is a cheerful and optimistic character who challenges Scrooge\'s gloomy outlook on Christmas and life.""Scrooge\'s Nephew is a cheerful and optimistic character who challenges Scrooge\'s gloomy outlook on Christmas and life.""Scrooge\'s Nephew is a cheerful and optimistic character who represents the spirit of Christmas, opposing Scrooge\'s views.""Scrooge\'s Nephew is characterized by his contagious laughter and good humor, contrasting with his uncle\'s miserliness.""Scrooge\'s Nephew is portrayed as optimistic about Christmas, emphasizing its positive qualities despite Scrooge\'s negativity.""Scrooge\'s nephew is a character present at the gathering who actively participates in the games and engages with his family.""Scrooge\'s Nephew is a jovial character known for his infectious laughter and optimistic attitude towards Christmas, finding humor in Scrooge\'s ill temper and wealth.""Scrooge\'s Nephew is portrayed as warm-hearted and attempts to engage his uncle in the spirit of Christmas, despite Scrooge\'s rebuff.""Scrooge\'s nephew is portrayed as a joyful character who embodies laughter and good-humor, contrasting with Scrooge\'s initial persona.""Scrooge\'s Nephew is a jovial character known for his infectious laughter and optimistic attitude towards Christmas, finding humor in Scrooge\'s ill temper and wealth.""Scrooge\'s Nephew is portrayed as warm-hearted and attempts to engage his uncle in the spirit of Christmas, despite Scrooge\'s rebuff.""Scrooge\'s nephew is portrayed as a joyful character who embodies laughter and good-humor, contrasting with Scrooge\'s initial persona.""Scrooge\'s Nephew is a jovial character known for his infectious laughter and optimistic attitude towards Christmas, finding humor in Scrooge\'s ill temper and wealth.""Scrooge\'s Nephew is portrayed as warm-hearted and attempts to engage his uncle in the spirit of Christmas, despite Scrooge\'s rebuff.""Scrooge\'s nephew is portrayed as a joyful character who embodies laughter and good-humor, contrasting with Scrooge\'s initial persona."', 'source_id': 'chunk-91614df5cb74cbe5e109a338a82041e9chunk-74e2466de2f67fd710ef2f20c0a8d9e0chunk-5dac41b3f9eeaf794f0147400b1718cdchunk-43c9bee23adfa77aa9dedd22401bba7dchunk-773d0df1dd25c356f7b771d780583e09'} +2024-10-30 05:52:25,668 - lightrag - INFO - get_node:query:MATCH (n:`COUNTING-HOUSE`) RETURN n:result:"Scrooge\'s counting-house is the place of his work, characterized by coldness and a lack of warmth or holiday spirit.""The Counting-House is a physical space representing the business environment where Scrooge and Marley engaged in trade but also symbolizes their limited worldview.""The Counting-house is the place where Scrooge conducted his business and represents the limitations of his previous life.""The Counting-house is the place where Scrooge conducted his business and represents the limitations of his previous life."', 'source_id': 'chunk-74e2466de2f67fd710ef2f20c0a8d9e0chunk-359187e7571bda4b0b08b2e0b6581e52'}> +2024-10-30 05:52:25,801 - lightrag - INFO - _do_upsert:query: + MERGE (n:`COUNTING-HOUSE`) + SET n += $properties + RETURN n + :result:{'entity_type': '"LOCATION"', 'description': '"Scrooge\'s counting-house is the place of his work, characterized by coldness and a lack of warmth or holiday spirit.""Scrooge\'s counting-house is the place of his work, characterized by coldness and a lack of warmth or holiday spirit.""Scrooge\'s counting-house is the place of his work, characterized by coldness and a lack of warmth or holiday spirit.""The Counting-House is a physical space representing the business environment where Scrooge and Marley engaged in trade but also symbolizes their limited worldview.""The Counting-house is the place where Scrooge conducted his business and represents the limitations of his previous life.""The Counting-house is the place where Scrooge conducted his business and represents the limitations of his previous life.""The Counting-house is the place where Scrooge conducted his business and represents the limitations of his previous life."', 'source_id': 'chunk-74e2466de2f67fd710ef2f20c0a8d9e0chunk-359187e7571bda4b0b08b2e0b6581e52'} +2024-10-30 05:52:25,934 - lightrag - INFO - get_node:query:MATCH (n:`BEGGARS`) RETURN n:result: +2024-10-30 05:52:26,065 - lightrag - INFO - _do_upsert:query: + MERGE (n:`BEGGARS`) + SET n += $properties + RETURN n + :result:{'entity_type': '"PERSON"', 'description': '"Beggars are individuals who implore Scrooge for charity, symbolizing the lack of compassion and generosity in his character."', 'source_id': 'chunk-74e2466de2f67fd710ef2f20c0a8d9e0'} +2024-10-30 05:52:26,193 - lightrag - INFO - get_node:query:MATCH (n:`CHILDREN`) RETURN n:result:"Children represent innocence and joy, often seen as seeking affection and connection with adults like Scrooge.""The Children represent innocence and purity, highlighted as victims of societal neglect and calling for compassion from Scrooge.""The Children represent the joyful, carefree aspects of Scrooge\'s past, embodying happiness and the innocence of youth that he has long forgotten.""The Children represent innocence and the impact of societal neglect, embodied by Ignorance and Want as personified by the Spirit.""The Children represent innocence and the impact of societal neglect, embodied by Ignorance and Want as personified by the Spirit."', 'source_id': 'chunk-74e2466de2f67fd710ef2f20c0a8d9e0chunk-bb21d58d36c6306fd8810ddd51c4a971chunk-e7637ff18c5ded77a68cce0a87883fad'}> +2024-10-30 05:52:26,330 - lightrag - INFO - _do_upsert:query: + MERGE (n:`CHILDREN`) + SET n += $properties + RETURN n + :result:{'entity_type': '"PERSON"', 'description': '"Children represent innocence and joy, often seen as seeking affection and connection with adults like Scrooge.""Children represent innocence and joy, often seen as seeking affection and connection with adults like Scrooge.""Children represent innocence and joy, often seen as seeking affection and connection with adults like Scrooge.""The Children represent innocence and purity, highlighted as victims of societal neglect and calling for compassion from Scrooge.""The Children represent the joyful, carefree aspects of Scrooge\'s past, embodying happiness and the innocence of youth that he has long forgotten.""The Children represent innocence and the impact of societal neglect, embodied by Ignorance and Want as personified by the Spirit.""The Children represent innocence and the impact of societal neglect, embodied by Ignorance and Want as personified by the Spirit.""The Children represent innocence and the impact of societal neglect, embodied by Ignorance and Want as personified by the Spirit."', 'source_id': 'chunk-bb21d58d36c6306fd8810ddd51c4a971chunk-e7637ff18c5ded77a68cce0a87883fadchunk-74e2466de2f67fd710ef2f20c0a8d9e0'} +2024-10-30 05:52:26,460 - lightrag - INFO - get_node:query:MATCH (n:`COLD WEATHER`) RETURN n:result:"Cold Weather sets the bleak and unforgiving atmosphere, reflecting Scrooge’s own personality and state of mind.""Cold Weather sets the bleak and unforgiving atmosphere, reflecting Scrooge’s own personality and state of mind."', 'source_id': 'chunk-74e2466de2f67fd710ef2f20c0a8d9e0chunk-f1a4fbcf1ed86864b9bfd5e8dba4c683'}> +2024-10-30 05:52:26,594 - lightrag - INFO - _do_upsert:query: + MERGE (n:`COLD WEATHER`) + SET n += $properties + RETURN n + :result:{'entity_type': '"GEO"', 'description': '"Cold Weather is noted in the conversation between the businessmen, serving as a backdrop to their trivial interactions.""Cold Weather sets the bleak and unforgiving atmosphere, reflecting Scrooge’s own personality and state of mind.""Cold Weather sets the bleak and unforgiving atmosphere, reflecting Scrooge’s own personality and state of mind.""Cold Weather sets the bleak and unforgiving atmosphere, reflecting Scrooge’s own personality and state of mind."', 'source_id': 'chunk-f1a4fbcf1ed86864b9bfd5e8dba4c683chunk-74e2466de2f67fd710ef2f20c0a8d9e0'} +2024-10-30 05:52:26,723 - lightrag - INFO - get_node:query:MATCH (n:`FOG`) RETURN n:result:"Fog is a weather phenomenon that adds to the bleak atmosphere, reflecting the obscurity and confusion in Scrooge\'s life.""Fog represents the obscured visibility and confusion in Scrooge\'s surroundings, enhancing the atmosphere of uncertainty and apprehension.""Fog represents the obscurity and isolation in the environment, mirroring Scrooge’s emotional distance and isolation from society.""Fog represents the obscured visibility and confusion in Scrooge\'s surroundings, enhancing the atmosphere of uncertainty and apprehension.""Fog represents the obscurity and isolation in the environment, mirroring Scrooge’s emotional distance and isolation from society."', 'source_id': 'chunk-74e2466de2f67fd710ef2f20c0a8d9e0chunk-c7b10789a9cb0af6c553730b29bd9034chunk-d9aac3484185ac66045df92214d245d5'}> +2024-10-30 05:52:26,859 - lightrag - INFO - _do_upsert:query: + MERGE (n:`FOG`) + SET n += $properties + RETURN n + :result:{'entity_type': '"GEO"', 'description': '"Fog is a weather condition mentioned that enhances the dreary atmosphere surrounding Scrooge\'s home and workplace.""Fog is a weather phenomenon that adds to the bleak atmosphere, reflecting the obscurity and confusion in Scrooge\'s life.""Fog represents the obscured visibility and confusion in Scrooge\'s surroundings, enhancing the atmosphere of uncertainty and apprehension.""Fog represents the obscurity and isolation in the environment, mirroring Scrooge’s emotional distance and isolation from society.""Fog represents the obscured visibility and confusion in Scrooge\'s surroundings, enhancing the atmosphere of uncertainty and apprehension.""Fog represents the obscurity and isolation in the environment, mirroring Scrooge’s emotional distance and isolation from society.""Fog represents the obscured visibility and confusion in Scrooge\'s surroundings, enhancing the atmosphere of uncertainty and apprehension.""Fog represents the obscurity and isolation in the environment, mirroring Scrooge’s emotional distance and isolation from society."', 'source_id': 'chunk-d9aac3484185ac66045df92214d245d5chunk-c7b10789a9cb0af6c553730b29bd9034chunk-74e2466de2f67fd710ef2f20c0a8d9e0'} +2024-10-30 05:52:26,994 - lightrag - INFO - get_node:query:MATCH (n:`COURT`) RETURN n:result: +2024-10-30 05:52:27,128 - lightrag - INFO - _do_upsert:query: + MERGE (n:`COURT`) + SET n += $properties + RETURN n + :result:{'entity_type': '"GEO"', 'description': '"The Court is a location described as a space outside Scrooge\'s office where people pass by, emphasizing the contrast between Scrooge\'s inside world and the outside social interactions."', 'source_id': 'chunk-74e2466de2f67fd710ef2f20c0a8d9e0'} +2024-10-30 05:52:27,256 - lightrag - INFO - get_node:query:MATCH (n:`SCROOGE AND MARLEY'S`) RETURN n:result: +2024-10-30 05:52:27,391 - lightrag - INFO - _do_upsert:query: + MERGE (n:`SCROOGE AND MARLEY'S`) + SET n += $properties + RETURN n + :result:{'entity_type': '"ORGANIZATION"', 'description': '"Scrooge and Marley\'s is the name of the business run by Scrooge, signifying a partnership that existed before Marley’s death."', 'source_id': 'chunk-5dac41b3f9eeaf794f0147400b1718cd'} +2024-10-30 05:52:27,518 - lightrag - INFO - get_node:query:MATCH (n:`CLERK`) RETURN n:result:"The Clerk is a minor character who provides a contrast to Scrooge\'s character, expressing warmth and kindness during the holiday season.""The Clerk is an unnamed character who serves Scrooge, exhibiting a hopeful disposition despite Scrooge\'s ill-tempered management."', 'source_id': 'chunk-d9aac3484185ac66045df92214d245d5chunk-5dac41b3f9eeaf794f0147400b1718cd'}> +2024-10-30 05:52:27,647 - lightrag - INFO - _do_upsert:query: + MERGE (n:`CLERK`) + SET n += $properties + RETURN n + :result:{'entity_type': '"PERSON"', 'description': '"The Clerk is a minor character who provides a contrast to Scrooge\'s character, expressing warmth and kindness during the holiday season.""The Clerk is a minor character who provides a contrast to Scrooge\'s character, expressing warmth and kindness during the holiday season.""The Clerk is a minor character who provides a contrast to Scrooge\'s character, expressing warmth and kindness during the holiday season.""The Clerk is an unnamed character who serves Scrooge, exhibiting a hopeful disposition despite Scrooge\'s ill-tempered management."', 'source_id': 'chunk-d9aac3484185ac66045df92214d245d5chunk-5dac41b3f9eeaf794f0147400b1718cd'} +2024-10-30 05:52:27,772 - lightrag - INFO - get_node:query:MATCH (n:`THE GENTLEMEN`) RETURN n:result: +2024-10-30 05:52:27,903 - lightrag - INFO - _do_upsert:query: + MERGE (n:`THE GENTLEMEN`) + SET n += $properties + RETURN n + :result:{'entity_type': '"ORGANIZATION"', 'description': '"The Gentlemen are portrayed as representatives who arrive at Scrooge\'s office to collect donations for the poor during Christmas."', 'source_id': 'chunk-5dac41b3f9eeaf794f0147400b1718cd'} +2024-10-30 05:52:28,032 - lightrag - INFO - get_node:query:MATCH (n:`POOR AND DESTITUTE`) RETURN n:result: +2024-10-30 05:52:28,162 - lightrag - INFO - _do_upsert:query: + MERGE (n:`POOR AND DESTITUTE`) + SET n += $properties + RETURN n + :result:{'entity_type': '"CONCEPT"', 'description': '"The Poor and Destitute refer to those in need, highlighting the themes of charity and social responsibility that are emphasized during the Christmas season."', 'source_id': 'chunk-5dac41b3f9eeaf794f0147400b1718cd'} +2024-10-30 05:52:28,290 - lightrag - INFO - get_node:query:MATCH (n:`CHRISTMAS-TIME`) RETURN n:result:"Christmas-Time refers to the period surrounding Christmas, laden with connotations of joy, generosity, and family gatherings, which Scrooge vehemently criticizes.""Christmas-time is characterized as a period filled with festivities, joy, and community engagement, which Scrooge regards cynically.""Christmas-time represents the festive season, a recurring theme that evokes memories and emotions in Scrooge’s reflections.""Christmas-time serves as a backdrop for the narrative, emphasizing themes of reflection, mortality, and social interactions.""Christmas-time symbolizes a period of joy and reunion, characterized by scenes of celebration and warmth in the story.""Christmas-time symbolizes a period of joy and reunion, characterized by scenes of celebration and warmth in the story."', 'source_id': 'chunk-c6c248858d1b13ab7ee9ca13c1aeed6bchunk-f1a4fbcf1ed86864b9bfd5e8dba4c683chunk-5dac41b3f9eeaf794f0147400b1718cd'}> +2024-10-30 05:52:28,429 - lightrag - INFO - _do_upsert:query: + MERGE (n:`CHRISTMAS-TIME`) + SET n += $properties + RETURN n + :result:{'entity_type': '"EVENT"', 'description': '"Christmas-Time refers to the period surrounding Christmas, laden with connotations of joy, generosity, and family gatherings, which Scrooge vehemently criticizes.""Christmas-Time refers to the period surrounding Christmas, laden with connotations of joy, generosity, and family gatherings, which Scrooge vehemently criticizes.""Christmas-Time refers to the period surrounding Christmas, laden with connotations of joy, generosity, and family gatherings, which Scrooge vehemently criticizes.""Christmas-time is characterized as a period filled with festivities, joy, and community engagement, which Scrooge regards cynically.""Christmas-time represents the festive season, a recurring theme that evokes memories and emotions in Scrooge’s reflections.""Christmas-time serves as a backdrop for the narrative, emphasizing themes of reflection, mortality, and social interactions.""Christmas-time symbolizes a period of joy and reunion, characterized by scenes of celebration and warmth in the story.""Christmas-time symbolizes a period of joy and reunion, characterized by scenes of celebration and warmth in the story.""Christmas-time symbolizes a period of joy and reunion, characterized by scenes of celebration and warmth in the story."', 'source_id': 'chunk-f1a4fbcf1ed86864b9bfd5e8dba4c683chunk-c6c248858d1b13ab7ee9ca13c1aeed6bchunk-5dac41b3f9eeaf794f0147400b1718cd'} +2024-10-30 05:52:28,563 - lightrag - INFO - get_node:query:MATCH (n:`BEDLAM`) RETURN n:result:"Bedlam is referenced as a metaphorical expression of madness, illustrating Scrooge\'s disdain for cheerful attitudes he finds absurd.""Bedlam is referenced as a metaphorical place for madness, illustrating Scrooge\'s disdain for the cheerful nature of Christmas and his sense of isolation."', 'source_id': 'chunk-5dac41b3f9eeaf794f0147400b1718cd'}> +2024-10-30 05:52:28,699 - lightrag - INFO - _do_upsert:query: + MERGE (n:`BEDLAM`) + SET n += $properties + RETURN n + :result:{'entity_type': '"GEO"', 'description': '"Bedlam is referenced as a metaphorical expression of madness, illustrating Scrooge\'s disdain for cheerful attitudes he finds absurd.""Bedlam is referenced as a metaphorical expression of madness, illustrating Scrooge\'s disdain for cheerful attitudes he finds absurd.""Bedlam is referenced as a metaphorical expression of madness, illustrating Scrooge\'s disdain for cheerful attitudes he finds absurd.""Bedlam is referenced as a metaphorical place for madness, illustrating Scrooge\'s disdain for the cheerful nature of Christmas and his sense of isolation."', 'source_id': 'chunk-5dac41b3f9eeaf794f0147400b1718cd'} +2024-10-30 05:52:28,830 - lightrag - INFO - get_node:query:MATCH (n:`THE GENTLEMAN`) RETURN n:result:"The Gentleman is a character attempting to persuade Scrooge to contribute to charity for the poor during Christmas.""The Gentleman is a character who advocates for helping the poor and trying to raise a fund for those in need during Christmas."', 'source_id': 'chunk-90d5764e301321c087f5a8f78b73a145'}> +2024-10-30 05:52:28,961 - lightrag - INFO - _do_upsert:query: + MERGE (n:`THE GENTLEMAN`) + SET n += $properties + RETURN n + :result:{'entity_type': '"PERSON"', 'description': '"The Gentleman is a character attempting to persuade Scrooge to contribute to charity for the poor during Christmas.""The Gentleman is a character attempting to persuade Scrooge to contribute to charity for the poor during Christmas.""The Gentleman is a character attempting to persuade Scrooge to contribute to charity for the poor during Christmas.""The Gentleman is a character who advocates for helping the poor and trying to raise a fund for those in need during Christmas."', 'source_id': 'chunk-90d5764e301321c087f5a8f78b73a145'} +2024-10-30 05:52:29,089 - lightrag - INFO - get_node:query:MATCH (n:`THE POOR LAW`) RETURN n:result: +2024-10-30 05:52:29,225 - lightrag - INFO - _do_upsert:query: + MERGE (n:`THE POOR LAW`) + SET n += $properties + RETURN n + :result:{'entity_type': '"ORGANIZATION"', 'description': '"The Poor Law refers to a governmental system in place intended to support the impoverished, which Scrooge references to indicate his views on responsibility and charity."', 'source_id': 'chunk-90d5764e301321c087f5a8f78b73a145'} +2024-10-30 05:52:29,352 - lightrag - INFO - get_node:query:MATCH (n:`THE UNION WORKHOUSES`) RETURN n:result:"The Union Workhouses are facilities that provide aid to the poor, still operational as confirmed by the Gentleman during the discussion with Scrooge.""The Union Workhouses are institutions mentioned as a means of supporting the poor, still operational during Scrooge\'s time."', 'source_id': 'chunk-90d5764e301321c087f5a8f78b73a145'}> +2024-10-30 05:52:29,490 - lightrag - INFO - _do_upsert:query: + MERGE (n:`THE UNION WORKHOUSES`) + SET n += $properties + RETURN n + :result:{'entity_type': '"ORGANIZATION"', 'description': '"The Union Workhouses are facilities that provide aid to the poor, still operational as confirmed by the Gentleman during the discussion with Scrooge.""The Union Workhouses are facilities that provide aid to the poor, still operational as confirmed by the Gentleman during the discussion with Scrooge.""The Union Workhouses are facilities that provide aid to the poor, still operational as confirmed by the Gentleman during the discussion with Scrooge.""The Union Workhouses are institutions mentioned as a means of supporting the poor, still operational during Scrooge\'s time."', 'source_id': 'chunk-90d5764e301321c087f5a8f78b73a145'} +2024-10-30 05:52:29,623 - lightrag - INFO - get_node:query:MATCH (n:`THE MANSION HOUSE`) RETURN n:result:"The Mansion House is the official residence of the Lord Mayor, where festive preparations for Christmas are being made.""The Mansion House is the official residence of the Lord Mayor, where festive preparations for Christmas are being made."', 'source_id': 'chunk-90d5764e301321c087f5a8f78b73a145'}> +2024-10-30 05:52:29,754 - lightrag - INFO - _do_upsert:query: + MERGE (n:`THE MANSION HOUSE`) + SET n += $properties + RETURN n + :result:{'entity_type': '"LOCATION"', 'description': '"The Mansion House is identified as the residence of the Lord Mayor, a place associated with Christmas festivities and order.""The Mansion House is the official residence of the Lord Mayor, where festive preparations for Christmas are being made.""The Mansion House is the official residence of the Lord Mayor, where festive preparations for Christmas are being made.""The Mansion House is the official residence of the Lord Mayor, where festive preparations for Christmas are being made."', 'source_id': 'chunk-90d5764e301321c087f5a8f78b73a145'} +2024-10-30 05:52:29,885 - lightrag - INFO - get_node:query:MATCH (n:`THE POOR`) RETURN n:result:"The Poor refer to those individuals in society who face economic hardship and are in need of help, as indicated by their absence from the workhouses and their desperate circumstances during the festive season.""The Poor refers to the individuals in society who are destitute and in need of assistance, often highlighted in discussions about charity during Christmas."', 'source_id': 'chunk-90d5764e301321c087f5a8f78b73a145'}> +2024-10-30 05:52:30,021 - lightrag - INFO - _do_upsert:query: + MERGE (n:`THE POOR`) + SET n += $properties + RETURN n + :result:{'entity_type': '"PERSON"', 'description': '"The Poor refer to those individuals in society who face economic hardship and are in need of help, as indicated by their absence from the workhouses and their desperate circumstances during the festive season.""The Poor refer to those individuals in society who face economic hardship and are in need of help, as indicated by their absence from the workhouses and their desperate circumstances during the festive season.""The Poor refer to those individuals in society who face economic hardship and are in need of help, as indicated by their absence from the workhouses and their desperate circumstances during the festive season.""The Poor refers to the individuals in society who are destitute and in need of assistance, often highlighted in discussions about charity during Christmas."', 'source_id': 'chunk-90d5764e301321c087f5a8f78b73a145'} +2024-10-30 05:52:30,152 - lightrag - INFO - get_node:query:MATCH (n:`SCROOGE'S COUNTING-HOUSE`) RETURN n:result: +2024-10-30 05:52:30,284 - lightrag - INFO - _do_upsert:query: + MERGE (n:`SCROOGE'S COUNTING-HOUSE`) + SET n += $properties + RETURN n + :result:{'entity_type': '"LOCATION"', 'description': '"Scrooge\'s Counting-House is the workspace of Scrooge where he conducts his business, symbolizing his frugality and solitary nature."', 'source_id': 'chunk-90d5764e301321c087f5a8f78b73a145'} +2024-10-30 05:52:30,412 - lightrag - INFO - get_node:query:MATCH (n:`THE LORD MAYOR`) RETURN n:result:"The Lord Mayor oversees the festivities during Christmas at the Mansion House, representing authority and public celebration.""The Lord Mayor oversees the festivities during Christmas at the Mansion House, representing authority and public celebration."', 'source_id': 'chunk-90d5764e301321c087f5a8f78b73a145'}> +2024-10-30 05:52:30,547 - lightrag - INFO - _do_upsert:query: + MERGE (n:`THE LORD MAYOR`) + SET n += $properties + RETURN n + :result:{'entity_type': '"PERSON"', 'description': '"The Lord Mayor is a civic leader responsible for overseeing Christmas festivities and ensuring proper celebrations in the town.""The Lord Mayor oversees the festivities during Christmas at the Mansion House, representing authority and public celebration.""The Lord Mayor oversees the festivities during Christmas at the Mansion House, representing authority and public celebration.""The Lord Mayor oversees the festivities during Christmas at the Mansion House, representing authority and public celebration."', 'source_id': 'chunk-90d5764e301321c087f5a8f78b73a145'} +2024-10-30 05:52:30,673 - lightrag - INFO - get_node:query:MATCH (n:`CHRISTMAS PUDDING`) RETURN n:result:"Christmas Pudding is a dish being prepared for the festive celebration, embodying the spirit of Christmas and family gatherings.""The Christmas Pudding is a significant dish prepared by Mrs. Cratchit, symbolizing the family\'s festive celebration and unity."', 'source_id': 'chunk-503f0bfa5453467c7c61d160a3540ecachunk-90d5764e301321c087f5a8f78b73a145'}> +2024-10-30 05:52:30,802 - lightrag - INFO - _do_upsert:query: + MERGE (n:`CHRISTMAS PUDDING`) + SET n += $properties + RETURN n + :result:{'entity_type': '"EVENT"', 'description': '"Christmas Pudding is a dish being prepared for the festive celebration, embodying the spirit of Christmas and family gatherings.""Christmas Pudding is a dish being prepared for the festive celebration, embodying the spirit of Christmas and family gatherings.""Christmas Pudding is a dish being prepared for the festive celebration, embodying the spirit of Christmas and family gatherings.""The Christmas Pudding is a significant dish prepared by Mrs. Cratchit, symbolizing the family\'s festive celebration and unity."', 'source_id': 'chunk-503f0bfa5453467c7c61d160a3540ecachunk-90d5764e301321c087f5a8f78b73a145'} +2024-10-30 05:52:30,932 - lightrag - INFO - get_node:query:MATCH (n:`THE GAS-PIPES`) RETURN n:result:"The Gas-Pipes represent the infrastructure of the city, which signifies the industrial and economic activity during the cold winter season.""The Gas-pipes are mentioned as undergoing repairs in The Main Street, indicating the infrastructure\'s role in the community during winter."', 'source_id': 'chunk-90d5764e301321c087f5a8f78b73a145'}> +2024-10-30 05:52:31,064 - lightrag - INFO - _do_upsert:query: + MERGE (n:`THE GAS-PIPES`) + SET n += $properties + RETURN n + :result:{'entity_type': '"ORGANIZATION"', 'description': '"The Gas-Pipes represent the infrastructure of the city, which signifies the industrial and economic activity during the cold winter season.""The Gas-Pipes represent the infrastructure of the city, which signifies the industrial and economic activity during the cold winter season.""The Gas-Pipes represent the infrastructure of the city, which signifies the industrial and economic activity during the cold winter season.""The Gas-pipes are mentioned as undergoing repairs in The Main Street, indicating the infrastructure\'s role in the community during winter."', 'source_id': 'chunk-90d5764e301321c087f5a8f78b73a145'} +2024-10-30 05:52:31,192 - lightrag - INFO - get_node:query:MATCH (n:`THE CHURCH`) RETURN n:result:"The Church is a location from where the clock chimes are heard, marking the passage of time and contributing to the atmosphere of the scene.""The Church is a place Scrooge visits, indicating his desire to engage in the Christmas spirit and community.""The Church is a place referenced in the context of the community\'s sentiments toward Christmas and social welfare.""The Church is a place referenced in the context of the community\'s sentiments toward Christmas and social welfare."', 'source_id': 'chunk-8f738cb25d60a7dab782162d9d0a25edchunk-cb661c37436355ccec2769b1d0350c5fchunk-90d5764e301321c087f5a8f78b73a145'}> +2024-10-30 05:52:31,327 - lightrag - INFO - _do_upsert:query: + MERGE (n:`THE CHURCH`) + SET n += $properties + RETURN n + :result:{'entity_type': '"ORGANIZATION"', 'description': '"The Church is a location from where the clock chimes are heard, marking the passage of time and contributing to the atmosphere of the scene.""The Church is a location from where the clock chimes are heard, marking the passage of time and contributing to the atmosphere of the scene.""The Church is a location from where the clock chimes are heard, marking the passage of time and contributing to the atmosphere of the scene.""The Church is a place Scrooge visits, indicating his desire to engage in the Christmas spirit and community.""The Church is a place referenced in the context of the community\'s sentiments toward Christmas and social welfare.""The Church is a place referenced in the context of the community\'s sentiments toward Christmas and social welfare.""The Church is a place referenced in the context of the community\'s sentiments toward Christmas and social welfare."', 'source_id': 'chunk-8f738cb25d60a7dab782162d9d0a25edchunk-cb661c37436355ccec2769b1d0350c5fchunk-90d5764e301321c087f5a8f78b73a145'} +2024-10-30 05:52:31,456 - lightrag - INFO - get_node:query:MATCH (n:`THE CRATCHIT FAMILY`) RETURN n:result:"The Cratchit Family consists of Bob, Mrs. Cratchit, Tiny Tim, and their children, characterized by their strong familial bonds and love for one another despite financial struggles.""The Cratchit Family consists of Bob, Mrs. Cratchit, and their children, highlighting themes of familial love and support amidst hardship.""The Cratchit Family is a close-knit family depicted in the text, characterized by love and warmth, celebrating Christmas together despite their difficulties.""The Cratchit Family represents a typical struggling family in the text, highlighting the theme of social disparity during Christmas.""The Cratchit Family is a close-knit family depicted in the text, characterized by love and warmth, celebrating Christmas together despite their difficulties.""The Cratchit Family represents a typical struggling family in the text, highlighting the theme of social disparity during Christmas."', 'source_id': 'chunk-503f0bfa5453467c7c61d160a3540ecachunk-1d4b58de5429cd1261370c231c8673e8chunk-90d5764e301321c087f5a8f78b73a145'}> +2024-10-30 05:52:31,590 - lightrag - INFO - _do_upsert:query: + MERGE (n:`THE CRATCHIT FAMILY`) + SET n += $properties + RETURN n + :result:{'entity_type': '"ORGANIZATION"', 'description': '"The Cratchit Family consists of Bob, Mrs. Cratchit, Tiny Tim, and their children, characterized by their strong familial bonds and love for one another despite financial struggles.""The Cratchit Family consists of Bob, Mrs. Cratchit, Tiny Tim, and their children, characterized by their strong familial bonds and love for one another despite financial struggles.""The Cratchit Family consists of Bob, Mrs. Cratchit, Tiny Tim, and their children, characterized by their strong familial bonds and love for one another despite financial struggles.""The Cratchit Family consists of Bob, Mrs. Cratchit, and their children, highlighting themes of familial love and support amidst hardship.""The Cratchit Family is a close-knit family depicted in the text, characterized by love and warmth, celebrating Christmas together despite their difficulties.""The Cratchit Family represents a typical struggling family in the text, highlighting the theme of social disparity during Christmas.""The Cratchit Family is a close-knit family depicted in the text, characterized by love and warmth, celebrating Christmas together despite their difficulties.""The Cratchit Family represents a typical struggling family in the text, highlighting the theme of social disparity during Christmas.""The Cratchit Family is a close-knit family depicted in the text, characterized by love and warmth, celebrating Christmas together despite their difficulties.""The Cratchit Family represents a typical struggling family in the text, highlighting the theme of social disparity during Christmas."', 'source_id': 'chunk-503f0bfa5453467c7c61d160a3540ecachunk-1d4b58de5429cd1261370c231c8673e8chunk-90d5764e301321c087f5a8f78b73a145'} +2024-10-30 05:52:31,717 - lightrag - INFO - get_node:query:MATCH (n:`CHRISTMAS EVE`) RETURN n:result:"Christmas Eve is a significant time in the story, marked by celebrations and gatherings led by Fezziwig.""Christmas Eve is depicted as a significant time, bringing about joyful activities like sliding down snow hills, contrasting with Scrooge\'s dour demeanor.""Christmas Eve is the night before Christmas, serving as the backdrop for the lively celebrations and dances hosted by Fezziwig.""Christmas Eve is the specific time setting in the story, highlighting the contrast between the joy of the holiday and Scrooge\'s negativity.""Christmas Eve is the day prior to Christmas, a time that carries festive significance and anticipation in the narrative.""Christmas Eve is the day prior to Christmas, a time that carries festive significance and anticipation in the narrative."', 'source_id': 'chunk-74e2466de2f67fd710ef2f20c0a8d9e0chunk-8bc1edd983869352d14cf0886a9175a7chunk-d9aac3484185ac66045df92214d245d5'}> +2024-10-30 05:52:31,865 - lightrag - INFO - _do_upsert:query: + MERGE (n:`CHRISTMAS EVE`) + SET n += $properties + RETURN n + :result:{'entity_type': '"EVENT"', 'description': '"Christmas Eve is a significant time in the story, marked by celebrations and gatherings led by Fezziwig.""Christmas Eve is a significant time in the story, marked by celebrations and gatherings led by Fezziwig.""Christmas Eve is a significant time in the story, marked by celebrations and gatherings led by Fezziwig.""Christmas Eve is depicted as a significant time, bringing about joyful activities like sliding down snow hills, contrasting with Scrooge\'s dour demeanor.""Christmas Eve is the night before Christmas, serving as the backdrop for the lively celebrations and dances hosted by Fezziwig.""Christmas Eve is the specific time setting in the story, highlighting the contrast between the joy of the holiday and Scrooge\'s negativity.""Christmas Eve is the day prior to Christmas, a time that carries festive significance and anticipation in the narrative.""Christmas Eve is the day prior to Christmas, a time that carries festive significance and anticipation in the narrative.""Christmas Eve is the day prior to Christmas, a time that carries festive significance and anticipation in the narrative."', 'source_id': 'chunk-74e2466de2f67fd710ef2f20c0a8d9e0chunk-d9aac3484185ac66045df92214d245d5chunk-8bc1edd983869352d14cf0886a9175a7'} +2024-10-30 05:52:32,004 - lightrag - INFO - get_node:query:MATCH (n:`CAMDEN TOWN`) RETURN n:result:"Camden Town is a location mentioned as Bob Cratchit\'s home, highlighting the setting of his personal life.""Camden Town is a location mentioned in relation to the logistics of transporting a large turkey.""Camden Town is a location where Bob Cratchit runs home to celebrate Christmas Eve, representing a more joyful and lively setting.""Camden Town is mentioned as a location related to the transportation of a turkey in a humorous context during the holiday season.""Camden Town is mentioned as a location related to the transportation of a turkey in a humorous context during the holiday season."', 'source_id': 'chunk-8f738cb25d60a7dab782162d9d0a25edchunk-d9aac3484185ac66045df92214d245d5'}> +2024-10-30 05:52:32,140 - lightrag - INFO - _do_upsert:query: + MERGE (n:`CAMDEN TOWN`) + SET n += $properties + RETURN n + :result:{'entity_type': '"GEO"', 'description': '"Camden Town is a location mentioned as Bob Cratchit\'s home, highlighting the setting of his personal life.""Camden Town is a location mentioned as Bob Cratchit\'s home, highlighting the setting of his personal life.""Camden Town is a location mentioned as Bob Cratchit\'s home, highlighting the setting of his personal life.""Camden Town is a location mentioned in relation to the logistics of transporting a large turkey.""Camden Town is a location where Bob Cratchit runs home to celebrate Christmas Eve, representing a more joyful and lively setting.""Camden Town is mentioned as a location related to the transportation of a turkey in a humorous context during the holiday season.""Camden Town is mentioned as a location related to the transportation of a turkey in a humorous context during the holiday season.""Camden Town is mentioned as a location related to the transportation of a turkey in a humorous context during the holiday season."', 'source_id': 'chunk-d9aac3484185ac66045df92214d245d5chunk-8f738cb25d60a7dab782162d9d0a25ed'} +2024-10-30 05:52:32,268 - lightrag - INFO - get_node:query:MATCH (n:`THE COUNTING-HOUSE`) RETURN n:result:"The Counting-House is where Scrooge works and is characterized by its cold and unwelcoming environment.""The Counting-House is the place where Scrooge works, reflecting a business environment lacking warmth or joy.""The Counting-House is the place where Scrooge works, reflecting a business environment lacking warmth or joy."', 'source_id': 'chunk-74e2466de2f67fd710ef2f20c0a8d9e0chunk-d9aac3484185ac66045df92214d245d5'}> +2024-10-30 05:52:32,402 - lightrag - INFO - _do_upsert:query: + MERGE (n:`THE COUNTING-HOUSE`) + SET n += $properties + RETURN n + :result:{'entity_type': '"ORGANIZATION"', 'description': '"The Counting-House is Scrooge\'s place of work, characterized by a gloomy demeanor and an atmosphere that reflects Scrooge\'s character.""The Counting-House is where Scrooge works and is characterized by its cold and unwelcoming environment.""The Counting-House is the place where Scrooge works, reflecting a business environment lacking warmth or joy.""The Counting-House is the place where Scrooge works, reflecting a business environment lacking warmth or joy.""The Counting-House is the place where Scrooge works, reflecting a business environment lacking warmth or joy."', 'source_id': 'chunk-d9aac3484185ac66045df92214d245d5chunk-74e2466de2f67fd710ef2f20c0a8d9e0'} +2024-10-30 05:52:32,531 - lightrag - INFO - get_node:query:MATCH (n:`THE KNOCKER`) RETURN n:result:"The Knocker is a feature on Scrooge\'s door, which takes on a mystical quality when Scrooge perceives Marley\'s face in it.""The Knocker is a physical object that becomes a symbol of Scrooge\'s psyche, transforming into Marley\'s face, representing his guilt and past.""The Knocker is an ornate door knocker that Scrooge admires, reflecting his newfound appreciation for simple joys.""The Knocker on the door serves as a symbolic gateway to the supernatural events, being the first point of eerie interaction for Scrooge.""The Knocker is a physical object that symbolizes Scrooge\'s newfound appreciation for the simple, honest joys of life during Christmas.""The Knocker is a physical object that symbolizes Scrooge\'s newfound appreciation for the simple, honest joys of life during Christmas."', 'source_id': 'chunk-8f738cb25d60a7dab782162d9d0a25edchunk-d9aac3484185ac66045df92214d245d5chunk-9c43dac2fcd5b578242d907ea6f8fc7b'}> +2024-10-30 05:52:32,661 - lightrag - INFO - _do_upsert:query: + MERGE (n:`THE KNOCKER`) + SET n += $properties + RETURN n + :result:{'entity_type': '"ORGANIZATION"', 'description': '"The Knocker is a feature on Scrooge\'s door, which takes on a mystical quality when Scrooge perceives Marley\'s face in it.""The Knocker is a feature on Scrooge\'s door, which takes on a mystical quality when Scrooge perceives Marley\'s face in it.""The Knocker is a feature on Scrooge\'s door, which takes on a mystical quality when Scrooge perceives Marley\'s face in it.""The Knocker is a physical object that becomes a symbol of Scrooge\'s psyche, transforming into Marley\'s face, representing his guilt and past.""The Knocker is an ornate door knocker that Scrooge admires, reflecting his newfound appreciation for simple joys.""The Knocker on the door serves as a symbolic gateway to the supernatural events, being the first point of eerie interaction for Scrooge.""The Knocker is a physical object that symbolizes Scrooge\'s newfound appreciation for the simple, honest joys of life during Christmas.""The Knocker is a physical object that symbolizes Scrooge\'s newfound appreciation for the simple, honest joys of life during Christmas.""The Knocker is a physical object that symbolizes Scrooge\'s newfound appreciation for the simple, honest joys of life during Christmas."', 'source_id': 'chunk-9c43dac2fcd5b578242d907ea6f8fc7bchunk-d9aac3484185ac66045df92214d245d5chunk-8f738cb25d60a7dab782162d9d0a25ed'} +2024-10-30 05:52:32,790 - lightrag - INFO - get_node:query:MATCH (n:`THE COUNTING-HOUSE CLERK`) RETURN n:result: +2024-10-30 05:52:32,923 - lightrag - INFO - _do_upsert:query: + MERGE (n:`THE COUNTING-HOUSE CLERK`) + SET n += $properties + RETURN n + :result:{'entity_type': '"PERSON"', 'description': '"The Counting-House Clerk is an unnamed character who interacts with Scrooge, representing the workforce under Scrooge\'s employment."', 'source_id': 'chunk-d9aac3484185ac66045df92214d245d5'} +2024-10-30 05:52:33,056 - lightrag - INFO - get_node:query:MATCH (n:`THE CANDLE`) RETURN n:result:"The Candle is a source of light that Scrooge lights as he enters his home, symbolizing the struggle against darkness and isolation.""The Candle represents a source of light in Scrooge\'s dark life, emphasizing the contrast between warmth and isolation."', 'source_id': 'chunk-d9aac3484185ac66045df92214d245d5chunk-9c43dac2fcd5b578242d907ea6f8fc7b'}> +2024-10-30 05:52:33,190 - lightrag - INFO - _do_upsert:query: + MERGE (n:`THE CANDLE`) + SET n += $properties + RETURN n + :result:{'entity_type': '"TECHNOLOGY"', 'description': '"The Candle is a source of light that Scrooge lights as he enters his home, symbolizing the struggle against darkness and isolation.""The Candle is a source of light that Scrooge lights as he enters his home, symbolizing the struggle against darkness and isolation.""The Candle is a source of light that Scrooge lights as he enters his home, symbolizing the struggle against darkness and isolation.""The Candle represents a source of light in Scrooge\'s dark life, emphasizing the contrast between warmth and isolation."', 'source_id': 'chunk-d9aac3484185ac66045df92214d245d5chunk-9c43dac2fcd5b578242d907ea6f8fc7b'} +2024-10-30 05:52:33,319 - lightrag - INFO - get_node:query:MATCH (n:`THE YARD`) RETURN n:result: +2024-10-30 05:52:33,454 - lightrag - INFO - _do_upsert:query: + MERGE (n:`THE YARD`) + SET n += $properties + RETURN n + :result:{'entity_type': '"GEO"', 'description': '"The Yard refers to the dark and gloomy space behind Scrooge\'s residence, creating an atmosphere of loneliness and despair."', 'source_id': 'chunk-d9aac3484185ac66045df92214d245d5'} +2024-10-30 05:52:33,581 - lightrag - INFO - get_node:query:MATCH (n:`THE FOG AND FROST`) RETURN n:result: +2024-10-30 05:52:33,714 - lightrag - INFO - _do_upsert:query: + MERGE (n:`THE FOG AND FROST`) + SET n += $properties + RETURN n + :result:{'entity_type': '"CONCEPT"', 'description': '"The Fog and Frost symbolize the coldness and obscurity surrounding Scrooge\'s life and mindset, enhancing the gloomy atmosphere."', 'source_id': 'chunk-d9aac3484185ac66045df92214d245d5'} +2024-10-30 05:52:33,841 - lightrag - INFO - get_node:query:MATCH (n:`THE GHOST OF MARLEY`) RETURN n:result:"The Ghost of Marley refers to the apparition that appears to Scrooge, serving as a catalyst for his transformation and moral reckoning.""The Ghost of Marley refers to the apparition that appears to Scrooge, serving as a catalyst for his transformation and moral reckoning."', 'source_id': 'chunk-d9aac3484185ac66045df92214d245d5'}> +2024-10-30 05:52:33,974 - lightrag - INFO - _do_upsert:query: + MERGE (n:`THE GHOST OF MARLEY`) + SET n += $properties + RETURN n + :result:{'entity_type': '"EVENT"', 'description': '"The Ghost of Marley is an event that is anticipated in the narrative, representing Scrooge\'s confrontation with his past and the supernatural.""The Ghost of Marley refers to the apparition that appears to Scrooge, serving as a catalyst for his transformation and moral reckoning.""The Ghost of Marley refers to the apparition that appears to Scrooge, serving as a catalyst for his transformation and moral reckoning.""The Ghost of Marley refers to the apparition that appears to Scrooge, serving as a catalyst for his transformation and moral reckoning."', 'source_id': 'chunk-d9aac3484185ac66045df92214d245d5'} +2024-10-30 05:52:34,104 - lightrag - INFO - get_node:query:MATCH (n:`LONDON`) RETURN n:result:"London is the city where the narrative takes place, representing a central location in the story.""London serves as the general setting for the story, although its specific mention relates to an animal in the context of a game.""London serves as the geographical setting for the story, encapsulating the harsh winter atmosphere and the life of its inhabitants during the festive season.""London serves as the setting where the events take place, adding a cultural backdrop to the Christmas gathering.""London serves as the setting for the story, highlighting the bustling yet isolating environment in which Scrooge lives.""London serves as the general setting for the story, although its specific mention relates to an animal in the context of a game.""London serves as the setting for the story, highlighting the bustling yet isolating environment in which Scrooge lives."', 'source_id': 'chunk-43c9bee23adfa77aa9dedd22401bba7dchunk-d9aac3484185ac66045df92214d245d5chunk-e7637ff18c5ded77a68cce0a87883fad'}> +2024-10-30 05:52:34,236 - lightrag - INFO - _do_upsert:query: + MERGE (n:`LONDON`) + SET n += $properties + RETURN n + :result:{'entity_type': '"GEO"', 'description': '"London is the city where the narrative takes place, representing a central location in the story.""London is the city where the narrative takes place, representing a central location in the story.""London is the city where the narrative takes place, representing a central location in the story.""London serves as the general setting for the story, although its specific mention relates to an animal in the context of a game.""London serves as the geographical setting for the story, encapsulating the harsh winter atmosphere and the life of its inhabitants during the festive season.""London serves as the setting where the events take place, adding a cultural backdrop to the Christmas gathering.""London serves as the setting for the story, highlighting the bustling yet isolating environment in which Scrooge lives.""London serves as the general setting for the story, although its specific mention relates to an animal in the context of a game.""London serves as the setting for the story, highlighting the bustling yet isolating environment in which Scrooge lives.""London serves as the general setting for the story, although its specific mention relates to an animal in the context of a game.""London serves as the setting for the story, highlighting the bustling yet isolating environment in which Scrooge lives."', 'source_id': 'chunk-d9aac3484185ac66045df92214d245d5chunk-e7637ff18c5ded77a68cce0a87883fadchunk-43c9bee23adfa77aa9dedd22401bba7d'} +2024-10-30 05:52:34,367 - lightrag - INFO - get_node:query:MATCH (n:`THE HOUSE`) RETURN n:result:"The House is the setting for Scrooge\'s encounters, characterized by its darkness, the creaking sounds, and the presence of the ghost.""The House is the setting for the Christmas celebration and interactions among the characters, embodying warmth and family togetherness.""The House is the setting where Scrooge experiences the haunting, with a description of its features contributing to the eerie atmosphere."', 'source_id': 'chunk-da2472b4ef2a535b62908f14d0fb0ca9chunk-9c43dac2fcd5b578242d907ea6f8fc7b'}> +2024-10-30 05:52:34,506 - lightrag - INFO - _do_upsert:query: + MERGE (n:`THE HOUSE`) + SET n += $properties + RETURN n + :result:{'entity_type': '"GEO"', 'description': '"The House is the setting for Scrooge\'s encounters, characterized by its darkness, the creaking sounds, and the presence of the ghost.""The House is the setting for Scrooge\'s encounters, characterized by its darkness, the creaking sounds, and the presence of the ghost.""The House is the setting for Scrooge\'s encounters, characterized by its darkness, the creaking sounds, and the presence of the ghost.""The House is the setting for the Christmas celebration and interactions among the characters, embodying warmth and family togetherness.""The House is the setting where Scrooge experiences the haunting, with a description of its features contributing to the eerie atmosphere."', 'source_id': 'chunk-9c43dac2fcd5b578242d907ea6f8fc7bchunk-da2472b4ef2a535b62908f14d0fb0ca9'} +2024-10-30 05:52:34,635 - lightrag - INFO - get_node:query:MATCH (n:`THE GHOST`) RETURN n:result:chunk-83ac129dc9b56f84c46760d153d68e93chunk-cb661c37436355ccec2769b1d0350c5fchunk-9c43dac2fcd5b578242d907ea6f8fc7bchunk-c6c248858d1b13ab7ee9ca13c1aeed6bchunk-02baee20cc9463dbe08170a8e1043e32chunk-da2472b4ef2a535b62908f14d0fb0ca9chunk-54bdd22db1f84a965b5f4c06c9216d8dchunk-c7b10789a9cb0af6c553730b29bd9034chunk-359187e7571bda4b0b08b2e0b6581e52chunk-43c9bee23adfa77aa9dedd22401bba7dchunk-8590d9263cd2cd4fa583c432fc54e6c3chunk-e7637ff18c5ded77a68cce0a87883fad'}> +2024-10-30 05:52:34,637 - lightrag - DEBUG - Trigger summary: "THE GHOST" +2024-10-30 05:52:34,738 - lightrag - INFO - get_node:query:MATCH (n:`THE BELL`) RETURN n:result:"The Bell is described as a disused bell that starts to swing and ring during the haunting, signifying the onset of supernatural occurrences.""The Bell is a disused bell in Scrooge\'s room, which begins to swing and rings out loudly, heralding the appearance of Marley\'s Ghost.""The Bell is a disused bell in Scrooge\'s room, which begins to swing and rings out loudly, heralding the appearance of Marley\'s Ghost."', 'source_id': 'chunk-cb661c37436355ccec2769b1d0350c5fchunk-9c43dac2fcd5b578242d907ea6f8fc7b'}> +2024-10-30 05:52:34,868 - lightrag - INFO - _do_upsert:query: + MERGE (n:`THE BELL`) + SET n += $properties + RETURN n + :result:{'entity_type': '"GEO"', 'description': '"The Bell is a church bell that signifies the time passing and marks the moments of Scrooge\'s encounters with the ghosts.""The Bell is described as a disused bell that starts to swing and ring during the haunting, signifying the onset of supernatural occurrences.""The Bell is a disused bell in Scrooge\'s room, which begins to swing and rings out loudly, heralding the appearance of Marley\'s Ghost.""The Bell is a disused bell in Scrooge\'s room, which begins to swing and rings out loudly, heralding the appearance of Marley\'s Ghost.""The Bell is a disused bell in Scrooge\'s room, which begins to swing and rings out loudly, heralding the appearance of Marley\'s Ghost."', 'source_id': 'chunk-cb661c37436355ccec2769b1d0350c5fchunk-9c43dac2fcd5b578242d907ea6f8fc7b'} +2024-10-30 05:52:34,998 - lightrag - INFO - get_node:query:MATCH (n:`THE WINE-MERCHANT'S CELLAR`) RETURN n:result:"The Wine-Merchant\'s Cellar is a location within The House where sounds of dragging chains are heard, signifying a haunted presence.""The Wine-Merchant\'s Cellar is a location within The House where sounds of dragging chains are heard, signifying a haunted presence."', 'source_id': 'chunk-9c43dac2fcd5b578242d907ea6f8fc7b'}> +2024-10-30 05:52:35,132 - lightrag - INFO - _do_upsert:query: + MERGE (n:`THE WINE-MERCHANT'S CELLAR`) + SET n += $properties + RETURN n + :result:{'entity_type': '"GEO"', 'description': '"The Wine-Merchant\'s Cellar is a location that holds significance in the story, where sounds of dragging chains are heard, adding to the ghostly ambiance.""The Wine-Merchant\'s Cellar is a location within The House where sounds of dragging chains are heard, signifying a haunted presence.""The Wine-Merchant\'s Cellar is a location within The House where sounds of dragging chains are heard, signifying a haunted presence.""The Wine-Merchant\'s Cellar is a location within The House where sounds of dragging chains are heard, signifying a haunted presence."', 'source_id': 'chunk-9c43dac2fcd5b578242d907ea6f8fc7b'} +2024-10-30 05:52:35,263 - lightrag - INFO - get_node:query:MATCH (n:`THE DYING FLAME`) RETURN n:result:"The Dying Flame represents the fear and uncertainty in Scrooge as it reacts to the presence of Marley’s Ghost, adding to the eerie atmosphere.""The Dying Flame signifies the waning spirit of Scrooge, momentarily invigorated by the arrival of the ghost as a metaphor for his fading humanity.""The Dying Flame signifies the waning spirit of Scrooge, momentarily invigorated by the arrival of the ghost as a metaphor for his fading humanity."', 'source_id': 'chunk-1aa50206d02ed89418f65f97c6441d1cchunk-9c43dac2fcd5b578242d907ea6f8fc7b'}> +2024-10-30 05:52:35,399 - lightrag - INFO - _do_upsert:query: + MERGE (n:`THE DYING FLAME`) + SET n += $properties + RETURN n + :result:{'entity_type': '"CONCEPT"', 'description': '"The Dying Flame represents the fear and uncertainty in Scrooge as it reacts to the presence of Marley’s Ghost, adding to the eerie atmosphere.""The Dying Flame represents the fear and uncertainty in Scrooge as it reacts to the presence of Marley’s Ghost, adding to the eerie atmosphere.""The Dying Flame represents the fear and uncertainty in Scrooge as it reacts to the presence of Marley’s Ghost, adding to the eerie atmosphere.""The Dying Flame signifies the waning spirit of Scrooge, momentarily invigorated by the arrival of the ghost as a metaphor for his fading humanity.""The Dying Flame signifies the waning spirit of Scrooge, momentarily invigorated by the arrival of the ghost as a metaphor for his fading humanity.""The Dying Flame signifies the waning spirit of Scrooge, momentarily invigorated by the arrival of the ghost as a metaphor for his fading humanity."', 'source_id': 'chunk-9c43dac2fcd5b578242d907ea6f8fc7bchunk-1aa50206d02ed89418f65f97c6441d1c'} +2024-10-30 05:52:35,533 - lightrag - INFO - get_node:query:MATCH (n:`THE GRATE`) RETURN n:result:"The Grate is a small fire in Scrooge\'s room that provides meager warmth, symbolizing Scrooge\'s cold disposition.""The Grate is part of Scrooge\'s room where a small fire burns, contributing to the bleak and cold atmosphere of his setting."', 'source_id': 'chunk-9c43dac2fcd5b578242d907ea6f8fc7b'}> +2024-10-30 05:52:35,666 - lightrag - INFO - _do_upsert:query: + MERGE (n:`THE GRATE`) + SET n += $properties + RETURN n + :result:{'entity_type': '"GEO"', 'description': '"The Grate is a small fire in Scrooge\'s room that provides meager warmth, symbolizing Scrooge\'s cold disposition.""The Grate is a small fire in Scrooge\'s room that provides meager warmth, symbolizing Scrooge\'s cold disposition.""The Grate is a small fire in Scrooge\'s room that provides meager warmth, symbolizing Scrooge\'s cold disposition.""The Grate is part of Scrooge\'s room where a small fire burns, contributing to the bleak and cold atmosphere of his setting."', 'source_id': 'chunk-9c43dac2fcd5b578242d907ea6f8fc7b'} +2024-10-30 05:52:35,792 - lightrag - INFO - get_node:query:MATCH (n:`SCROOGE'S DRESSING-GOWN`) RETURN n:result: +2024-10-30 05:52:35,924 - lightrag - INFO - _do_upsert:query: + MERGE (n:`SCROOGE'S DRESSING-GOWN`) + SET n += $properties + RETURN n + :result:{'entity_type': '"CONCEPT"', 'description': '"Scrooge\'s Dressing-Gown represents his reluctance to engage with the world outside, emphasizing his isolation and contentment with solitude."', 'source_id': 'chunk-9c43dac2fcd5b578242d907ea6f8fc7b'} +2024-10-30 05:52:36,052 - lightrag - INFO - get_node:query:MATCH (n:`GRUE`) RETURN n:result: +2024-10-30 05:52:36,186 - lightrag - INFO - _do_upsert:query: + MERGE (n:`GRUE`) + SET n += $properties + RETURN n + :result:{'entity_type': '"GEO"', 'description': '"Grue is the small saucepan of gruel prepared by Scrooge, indicating his minimalistic lifestyle and frugality."', 'source_id': 'chunk-9c43dac2fcd5b578242d907ea6f8fc7b'} +2024-10-30 05:52:36,318 - lightrag - INFO - get_node:query:MATCH (n:`THE HEAVY CHAIN`) RETURN n:result: +2024-10-30 05:52:36,455 - lightrag - INFO - _do_upsert:query: + MERGE (n:`THE HEAVY CHAIN`) + SET n += $properties + RETURN n + :result:{'entity_type': '"CONCEPT"', 'description': '"The Heavy Chain is associated with the dragging noise heard by Scrooge, symbolizing the burdens of his past actions."', 'source_id': 'chunk-9c43dac2fcd5b578242d907ea6f8fc7b'} +2024-10-30 05:52:36,585 - lightrag - INFO - get_node:query:MATCH (n:`THE CASK`) RETURN n:result:"The Cask is part of the sounds emerging from the cellar, contributing to the eerie atmosphere surrounding Marley’s Ghost.""The Cask is part of the sounds emerging from the cellar, contributing to the eerie atmosphere surrounding Marley’s Ghost."', 'source_id': 'chunk-9c43dac2fcd5b578242d907ea6f8fc7b'}> +2024-10-30 05:52:36,723 - lightrag - INFO - _do_upsert:query: + MERGE (n:`THE CASK`) + SET n += $properties + RETURN n + :result:{'entity_type': '"GEO"', 'description': '"The Cask is part of the cellar, contributing to the sounds associated with Marley\'s Ghost and aiding in creating a sense of dread.""The Cask is part of the sounds emerging from the cellar, contributing to the eerie atmosphere surrounding Marley’s Ghost.""The Cask is part of the sounds emerging from the cellar, contributing to the eerie atmosphere surrounding Marley’s Ghost.""The Cask is part of the sounds emerging from the cellar, contributing to the eerie atmosphere surrounding Marley’s Ghost."', 'source_id': 'chunk-9c43dac2fcd5b578242d907ea6f8fc7b'} +2024-10-30 05:52:36,855 - lightrag - INFO - get_node:query:MATCH (n:`MARLEY'S GHOST`) RETURN n:result:"Marley\'s Ghost is a spectral figure that represents Scrooge\'s past partner who has returned to convey a message, encapsulating themes of guilt and redemption.""Marley\'s Ghost is a spectral figure who appears to Scrooge to warn him of the impending visits from three spirits, representing remorse for his past deeds.""Marley\'s Ghost is a spectral visitation that deeply troubles Scrooge and causes him great perplexity, leading him to question the reality of his experiences.""Marley\'s Ghost represents the supernatural apparition of Marley, who has been dead for seven years and symbolizes regret and warning to Scrooge.""Marley\'s Ghost is an unearthly visitor that appears to Scrooge, causing him to question the nature of reality and dreams.""Marley\'s Ghost is the spectral figure of Jacob Marley, who appears to forewarn Scrooge about his fate and the necessity of change in his life.""Marley\'s Ghost is an unearthly visitor that appears to Scrooge, causing him to question the nature of reality and dreams.""Marley\'s Ghost is the spectral figure of Jacob Marley, who appears to forewarn Scrooge about his fate and the necessity of change in his life."', 'source_id': 'chunk-1aa50206d02ed89418f65f97c6441d1cchunk-c7b10789a9cb0af6c553730b29bd9034chunk-cb661c37436355ccec2769b1d0350c5fchunk-9c43dac2fcd5b578242d907ea6f8fc7b'}> +2024-10-30 05:52:36,988 - lightrag - INFO - _do_upsert:query: + MERGE (n:`MARLEY'S GHOST`) + SET n += $properties + RETURN n + :result:{'entity_type': '"EVENT"', 'description': '"Marley\'s Ghost is a spectral figure that represents Scrooge\'s past partner who has returned to convey a message, encapsulating themes of guilt and redemption.""Marley\'s Ghost is a spectral figure that represents Scrooge\'s past partner who has returned to convey a message, encapsulating themes of guilt and redemption.""Marley\'s Ghost is a spectral figure that represents Scrooge\'s past partner who has returned to convey a message, encapsulating themes of guilt and redemption.""Marley\'s Ghost is a spectral figure who appears to Scrooge to warn him of the impending visits from three spirits, representing remorse for his past deeds.""Marley\'s Ghost is a spectral visitation that deeply troubles Scrooge and causes him great perplexity, leading him to question the reality of his experiences.""Marley\'s Ghost represents the supernatural apparition of Marley, who has been dead for seven years and symbolizes regret and warning to Scrooge.""Marley\'s Ghost is an unearthly visitor that appears to Scrooge, causing him to question the nature of reality and dreams.""Marley\'s Ghost is the spectral figure of Jacob Marley, who appears to forewarn Scrooge about his fate and the necessity of change in his life.""Marley\'s Ghost is an unearthly visitor that appears to Scrooge, causing him to question the nature of reality and dreams.""Marley\'s Ghost is the spectral figure of Jacob Marley, who appears to forewarn Scrooge about his fate and the necessity of change in his life.""Marley\'s Ghost is an unearthly visitor that appears to Scrooge, causing him to question the nature of reality and dreams.""Marley\'s Ghost is the spectral figure of Jacob Marley, who appears to forewarn Scrooge about his fate and the necessity of change in his life."', 'source_id': 'chunk-c7b10789a9cb0af6c553730b29bd9034chunk-cb661c37436355ccec2769b1d0350c5fchunk-9c43dac2fcd5b578242d907ea6f8fc7bchunk-1aa50206d02ed89418f65f97c6441d1c'} +2024-10-30 05:52:37,119 - lightrag - INFO - get_node:query:MATCH (n:`JACOB MARLEY`) RETURN n:result:chunk-cb661c37436355ccec2769b1d0350c5fchunk-90b95db5c53e4364a6bee36b7aa4d70fchunk-da2472b4ef2a535b62908f14d0fb0ca9chunk-1aa50206d02ed89418f65f97c6441d1cchunk-359187e7571bda4b0b08b2e0b6581e52chunk-02baee20cc9463dbe08170a8e1043e32'}> +2024-10-30 05:52:37,254 - lightrag - INFO - _do_upsert:query: + MERGE (n:`JACOB MARLEY`) + SET n += $properties + RETURN n + :result:{'entity_type': '"PERSON"', 'description': '"Jacob Marley is Scrooge\'s deceased business partner who appears as a ghost, wearing chains that symbolize his past misdeeds and the burden of his regrets.""Jacob Marley is Scrooge\'s deceased partner, who appears in spirit to influence Scrooge\'s journey towards redemption.""Jacob Marley is a spirit who influences Scrooge\'s change of heart, representing a connection to Scrooge\'s past and the theme of redemption.""Jacob Marley is the deceased business partner of Scrooge, whose ghost visits him to convey a message about the importance of charity and kindness.""Jacob Marley is the deceased partner of Scrooge who shows concern for Scrooge\'s fate and the importance of change in his life.""Jacob Marley is the ghost of Scrooge\'s former business partner, who foretells the consequences of Scrooge\'s selfishness and warns him to change his ways.""Jacob Marley is the ghost of Scrooge\'s former partner, who appears to warn Scrooge about his fate and the need for change in his life."Jacob Marley is the deceased business partner of Ebenezer Scrooge, who appears as a ghost to convey significant messages about the consequences of a life lived without compassion. He is depicted as wearing chains, which symbolize the burden of his past misdeeds and the regrets that haunt him. Marley plays a crucial role in introducing the spirits that guide Scrooge on his journey toward redemption.\n\nAs a ghost, Jacob Marley warns Scrooge about his impending fate if he continues on his selfish path, highlighting the importance of charity, kindness, and connection to humanity. Through his visitation, Marley seeks to influence Scrooge\'s change of heart by representing both the weight of one\'s past actions and the potential for transformation. His presence serves as a catalyst for Scrooge’s eventual realization of the need for change, compelling him to reflect on his life choices and the impact they have on others.', 'source_id': 'chunk-02baee20cc9463dbe08170a8e1043e32chunk-cb661c37436355ccec2769b1d0350c5fchunk-1aa50206d02ed89418f65f97c6441d1cchunk-91572b3cd42786ba4cb2f180ca25cbf4chunk-da2472b4ef2a535b62908f14d0fb0ca9chunk-90b95db5c53e4364a6bee36b7aa4d70fchunk-359187e7571bda4b0b08b2e0b6581e52'} +2024-10-30 05:52:37,387 - lightrag - INFO - get_node:query:MATCH (n:`THE CHAIN`) RETURN n:result:"The Chain symbolizes the burdens of the past that haunt the spirits, showcasing the consequences of one\'s actions in life.""The Chain represents the burdens of greed and the consequences of one\'s actions, worn by Marley\'s Ghost as a physical manifestation of his regrets.""The Chain represents the burdens of regret and guilt that haunt Marley and serve as a warning to Scrooge about the consequences of a life poorly lived.""The Chain represents the burdens of greed and the consequences of one\'s actions, worn by Marley\'s Ghost as a physical manifestation of his regrets.""The Chain represents the burdens of regret and guilt that haunt Marley and serve as a warning to Scrooge about the consequences of a life poorly lived."', 'source_id': 'chunk-1aa50206d02ed89418f65f97c6441d1cchunk-359187e7571bda4b0b08b2e0b6581e52chunk-cb661c37436355ccec2769b1d0350c5f'}> +2024-10-30 05:52:37,533 - lightrag - INFO - _do_upsert:query: + MERGE (n:`THE CHAIN`) + SET n += $properties + RETURN n + :result:{'entity_type': '"CONCEPT"', 'description': '"The Chain refers to the symbolic burden that Marley carries, representing the consequences of his actions and the remorse that traps him in his spectral form.""The Chain symbolizes the burdens of the past that haunt the spirits, showcasing the consequences of one\'s actions in life.""The Chain represents the burdens of greed and the consequences of one\'s actions, worn by Marley\'s Ghost as a physical manifestation of his regrets.""The Chain represents the burdens of regret and guilt that haunt Marley and serve as a warning to Scrooge about the consequences of a life poorly lived.""The Chain represents the burdens of greed and the consequences of one\'s actions, worn by Marley\'s Ghost as a physical manifestation of his regrets.""The Chain represents the burdens of regret and guilt that haunt Marley and serve as a warning to Scrooge about the consequences of a life poorly lived.""The Chain represents the burdens of greed and the consequences of one\'s actions, worn by Marley\'s Ghost as a physical manifestation of his regrets.""The Chain represents the burdens of regret and guilt that haunt Marley and serve as a warning to Scrooge about the consequences of a life poorly lived."', 'source_id': 'chunk-359187e7571bda4b0b08b2e0b6581e52chunk-cb661c37436355ccec2769b1d0350c5fchunk-1aa50206d02ed89418f65f97c6441d1c'} +2024-10-30 05:52:37,666 - lightrag - INFO - get_node:query:MATCH (n:`THE HEAVY DOOR`) RETURN n:result:"The Heavy Door symbolizes the threshold between life and death, as well as the barriers between Scrooge and the supernatural world.""The heavy door is a physical boundary encountered by Scrooge, marking the transition between the ordinary world and the supernatural visitation."', 'source_id': 'chunk-1aa50206d02ed89418f65f97c6441d1c'}> +2024-10-30 05:52:37,800 - lightrag - INFO - _do_upsert:query: + MERGE (n:`THE HEAVY DOOR`) + SET n += $properties + RETURN n + :result:{'entity_type': '"CONCEPT"', 'description': '"The Heavy Door symbolizes the threshold between life and death, as well as the barriers between Scrooge and the supernatural world.""The Heavy Door symbolizes the threshold between life and death, as well as the barriers between Scrooge and the supernatural world.""The Heavy Door symbolizes the threshold between life and death, as well as the barriers between Scrooge and the supernatural world.""The heavy door is a physical boundary encountered by Scrooge, marking the transition between the ordinary world and the supernatural visitation."', 'source_id': 'chunk-1aa50206d02ed89418f65f97c6441d1c'} +2024-10-30 05:52:37,928 - lightrag - INFO - get_node:query:MATCH (n:`THE SPECTRE`) RETURN n:result: +2024-10-30 05:52:38,059 - lightrag - INFO - _do_upsert:query: + MERGE (n:`THE SPECTRE`) + SET n += $properties + RETURN n + :result:{'entity_type': '"CONCEPT"', 'description': '"The Spectre refers to the ghostly presence of Marley that embodies the themes of haunting and reflection on one\'s life choices."', 'source_id': 'chunk-1aa50206d02ed89418f65f97c6441d1c'} +2024-10-30 05:52:38,188 - lightrag - INFO - get_node:query:MATCH (n:`INFERNAL ATMOSPHERE`) RETURN n:result: +2024-10-30 05:52:38,319 - lightrag - INFO - _do_upsert:query: + MERGE (n:`INFERNAL ATMOSPHERE`) + SET n += $properties + RETURN n + :result:{'entity_type': '"CONCEPT"', 'description': '"The Infernal Atmosphere refers to the unsettling environment surrounding Marley\'s Ghost, indicating the discomfort and fear associated with his presence."', 'source_id': 'chunk-1aa50206d02ed89418f65f97c6441d1c'} +2024-10-30 05:52:38,448 - lightrag - INFO - get_node:query:MATCH (n:`THE CHAIR`) RETURN n:result: +2024-10-30 05:52:38,584 - lightrag - INFO - _do_upsert:query: + MERGE (n:`THE CHAIR`) + SET n += $properties + RETURN n + :result:{'entity_type': '"CONCEPT"', 'description': '"The Chair represents the symbol of comfort and safety that Scrooge clings to while facing the terrifying apparition."', 'source_id': 'chunk-1aa50206d02ed89418f65f97c6441d1c'} +2024-10-30 05:52:38,713 - lightrag - INFO - get_node:query:MATCH (n:`THE VISION`) RETURN n:result: +2024-10-30 05:52:38,845 - lightrag - INFO - _do_upsert:query: + MERGE (n:`THE VISION`) + SET n += $properties + RETURN n + :result:{'entity_type': '"CONCEPT"', 'description': '"The Vision refers to the haunting imagery that Scrooge perceives, reflecting his inner turmoil and conflict with reality."', 'source_id': 'chunk-1aa50206d02ed89418f65f97c6441d1c'} +2024-10-30 05:52:38,974 - lightrag - INFO - get_node:query:MATCH (n:`THE BANDAGE`) RETURN n:result:"The Bandage represents the ghost\'s attempt to maintain semblance in his appearance while revealing his true ghostly form.""The bandage is an item used by the ghost, symbolizing decay and the remnants of Marley’s struggle with his own existence post-death."', 'source_id': 'chunk-1aa50206d02ed89418f65f97c6441d1c'}> +2024-10-30 05:52:39,107 - lightrag - INFO - _do_upsert:query: + MERGE (n:`THE BANDAGE`) + SET n += $properties + RETURN n + :result:{'entity_type': '"CONCEPT"', 'description': '"The Bandage represents the ghost\'s attempt to maintain semblance in his appearance while revealing his true ghostly form.""The Bandage represents the ghost\'s attempt to maintain semblance in his appearance while revealing his true ghostly form.""The Bandage represents the ghost\'s attempt to maintain semblance in his appearance while revealing his true ghostly form.""The bandage is an item used by the ghost, symbolizing decay and the remnants of Marley’s struggle with his own existence post-death."', 'source_id': 'chunk-1aa50206d02ed89418f65f97c6441d1c'} +2024-10-30 05:52:39,236 - lightrag - INFO - get_node:query:MATCH (n:`GHOST`) RETURN n:result:"The Ghost refers to the spirit guiding Scrooge, embodying the themes of memory and reflection on the joys of Christmas.""The Ghost represents a spiritual guide that takes Scrooge on a journey to learn important lessons about compassion and humanity.""The Ghost serves as a supernatural guide for Scrooge, prompting him to reflect on his life and choices.""The Ghost is the spirit of Jacob Marley, who expresses remorse for his life and warns Scrooge about the consequences of ignoring his moral duties.""The Ghost is the spirit of Jacob Marley, who expresses remorse for his life and warns Scrooge about the consequences of ignoring his moral duties."', 'source_id': 'chunk-503f0bfa5453467c7c61d160a3540ecachunk-c6c248858d1b13ab7ee9ca13c1aeed6bchunk-359187e7571bda4b0b08b2e0b6581e52chunk-43c9bee23adfa77aa9dedd22401bba7dchunk-e7637ff18c5ded77a68cce0a87883fad'}> +2024-10-30 05:52:39,371 - lightrag - INFO - _do_upsert:query: + MERGE (n:`GHOST`) + SET n += $properties + RETURN n + :result:{'entity_type': '"PERSON"', 'description': '"The Ghost is a supernatural entity that provides guidance and reflection on Scrooge\'s past, representing moral and societal themes.""The Ghost refers to the spirit guiding Scrooge, embodying the themes of memory and reflection on the joys of Christmas.""The Ghost represents a spiritual guide that takes Scrooge on a journey to learn important lessons about compassion and humanity.""The Ghost serves as a supernatural guide for Scrooge, prompting him to reflect on his life and choices.""The Ghost is the spirit of Jacob Marley, who expresses remorse for his life and warns Scrooge about the consequences of ignoring his moral duties.""The Ghost is the spirit of Jacob Marley, who expresses remorse for his life and warns Scrooge about the consequences of ignoring his moral duties.""The Ghost is the spirit of Jacob Marley, who expresses remorse for his life and warns Scrooge about the consequences of ignoring his moral duties."', 'source_id': 'chunk-e7637ff18c5ded77a68cce0a87883fadchunk-c6c248858d1b13ab7ee9ca13c1aeed6bchunk-43c9bee23adfa77aa9dedd22401bba7dchunk-503f0bfa5453467c7c61d160a3540ecachunk-359187e7571bda4b0b08b2e0b6581e52'} +2024-10-30 05:52:39,506 - lightrag - INFO - get_node:query:MATCH (n:`CHRISTMAS EVES`) RETURN n:result:"Christmas Eves refer to the time periods associated with the spirits\' visits, specifically connecting to themes of reflection and redemption during the festive season.""Christmas Eves refers to the recurring time periods that Marley reflects upon, indicating the weight of his past decisions leading to regret."', 'source_id': 'chunk-359187e7571bda4b0b08b2e0b6581e52'}> +2024-10-30 05:52:39,641 - lightrag - INFO - _do_upsert:query: + MERGE (n:`CHRISTMAS EVES`) + SET n += $properties + RETURN n + :result:{'entity_type': '"EVENT"', 'description': '"Christmas Eves refer to the time periods associated with the spirits\' visits, specifically connecting to themes of reflection and redemption during the festive season.""Christmas Eves refer to the time periods associated with the spirits\' visits, specifically connecting to themes of reflection and redemption during the festive season.""Christmas Eves refer to the time periods associated with the spirits\' visits, specifically connecting to themes of reflection and redemption during the festive season.""Christmas Eves refers to the recurring time periods that Marley reflects upon, indicating the weight of his past decisions leading to regret."', 'source_id': 'chunk-359187e7571bda4b0b08b2e0b6581e52'} +2024-10-30 05:52:39,771 - lightrag - INFO - get_node:query:MATCH (n:`MANKIND`) RETURN n:result:"Mankind is referenced as a significant concern that should have been the focus of Scrooge\'s life, highlighting the importance of universal compassion and care.""Mankind signifies the broader human community, which Marley claims should be the focus of compassionate effort rather than mere business pursuits."', 'source_id': 'chunk-359187e7571bda4b0b08b2e0b6581e52'}> +2024-10-30 05:52:39,903 - lightrag - INFO - _do_upsert:query: + MERGE (n:`MANKIND`) + SET n += $properties + RETURN n + :result:{'entity_type': '"CONCEPT"', 'description': '"Mankind is referenced as a significant concern that should have been the focus of Scrooge\'s life, highlighting the importance of universal compassion and care.""Mankind is referenced as a significant concern that should have been the focus of Scrooge\'s life, highlighting the importance of universal compassion and care.""Mankind is referenced as a significant concern that should have been the focus of Scrooge\'s life, highlighting the importance of universal compassion and care.""Mankind signifies the broader human community, which Marley claims should be the focus of compassionate effort rather than mere business pursuits."', 'source_id': 'chunk-359187e7571bda4b0b08b2e0b6581e52'} +2024-10-30 05:52:40,035 - lightrag - INFO - get_node:query:MATCH (n:`ETERNAL CHAIN`) RETURN n:result: +2024-10-30 05:52:40,169 - lightrag - INFO - _do_upsert:query: + MERGE (n:`ETERNAL CHAIN`) + SET n += $properties + RETURN n + :result:{'entity_type': '"CONCEPT"', 'description': '"The Eternal Chain represents the burdens and consequences of one\'s actions in life, symbolizing the weight of regret carried by the Ghost."', 'source_id': 'chunk-359187e7571bda4b0b08b2e0b6581e52'} +2024-10-30 05:52:40,297 - lightrag - INFO - get_node:query:MATCH (n:`STAR`) RETURN n:result: +2024-10-30 05:52:40,437 - lightrag - INFO - _do_upsert:query: + MERGE (n:`STAR`) + SET n += $properties + RETURN n + :result:{'entity_type': '"GEO"', 'description': '"The Star symbolizes guidance and hope, referenced in connection with the Wise Men, representing the potential for enlightenment and moral direction."', 'source_id': 'chunk-359187e7571bda4b0b08b2e0b6581e52'} +2024-10-30 05:52:40,569 - lightrag - INFO - get_node:query:MATCH (n:`WISE MEN`) RETURN n:result: +2024-10-30 05:52:40,702 - lightrag - INFO - _do_upsert:query: + MERGE (n:`WISE MEN`) + SET n += $properties + RETURN n + :result:{'entity_type': '"PERSON"', 'description': '"The Wise Men are figures who followed the Star to bring gifts, embodying the values of recognition and generosity that Scrooge has neglected."', 'source_id': 'chunk-359187e7571bda4b0b08b2e0b6581e52'} +2024-10-30 05:52:40,828 - lightrag - INFO - get_node:query:MATCH (n:`FELLOW-BEINGS`) RETURN n:result: +2024-10-30 05:52:40,958 - lightrag - INFO - _do_upsert:query: + MERGE (n:`FELLOW-BEINGS`) + SET n += $properties + RETURN n + :result:{'entity_type': '"CONCEPT"', 'description': '"Fellow-beings are the people whom Scrooge ignored in life, representing the importance of community and connection."', 'source_id': 'chunk-359187e7571bda4b0b08b2e0b6581e52'} +2024-10-30 05:52:41,087 - lightrag - INFO - get_node:query:MATCH (n:`CHRISTMAS SPIRIT`) RETURN n:result: +2024-10-30 05:52:41,218 - lightrag - INFO - _do_upsert:query: + MERGE (n:`CHRISTMAS SPIRIT`) + SET n += $properties + RETURN n + :result:{'entity_type': '"CONCEPT"', 'description': '"The Christmas Spirit represents the ideals of generosity and kindness associated with the holiday season, which the Ghost encourages Scrooge to embrace."', 'source_id': 'chunk-359187e7571bda4b0b08b2e0b6581e52'} +2024-10-30 05:52:41,350 - lightrag - INFO - get_node:query:MATCH (n:`SPECTRE`) RETURN n:result: +2024-10-30 05:52:41,489 - lightrag - INFO - _do_upsert:query: + MERGE (n:`SPECTRE`) + SET n += $properties + RETURN n + :result:{'entity_type': '"PERSON"', 'description': '"The Spectre is another term for the Ghost, representing a manifestation of guilt and the need for change in Scrooge\'s life."', 'source_id': 'chunk-359187e7571bda4b0b08b2e0b6581e52'} +2024-10-30 05:52:41,619 - lightrag - INFO - get_node:query:MATCH (n:`THE THREE SPIRITS`) RETURN n:result:"The Three Spirits are the apparitions that Jacob Marley warns Scrooge about, who will visit him to guide him toward redemption.""The Three Spirits refer to the supernatural beings that are prophesied to visit Scrooge, each representing different aspects of time and morality."', 'source_id': 'chunk-cb661c37436355ccec2769b1d0350c5f'}> +2024-10-30 05:52:41,754 - lightrag - INFO - _do_upsert:query: + MERGE (n:`THE THREE SPIRITS`) + SET n += $properties + RETURN n + :result:{'entity_type': '"EVENT"', 'description': '"The Three Spirits are the apparitions that Jacob Marley warns Scrooge about, who will visit him to guide him toward redemption.""The Three Spirits are the apparitions that Jacob Marley warns Scrooge about, who will visit him to guide him toward redemption.""The Three Spirits are the apparitions that Jacob Marley warns Scrooge about, who will visit him to guide him toward redemption.""The Three Spirits refer to the supernatural beings that are prophesied to visit Scrooge, each representing different aspects of time and morality."', 'source_id': 'chunk-cb661c37436355ccec2769b1d0350c5f'} +2024-10-30 05:52:41,886 - lightrag - INFO - get_node:query:MATCH (n:`THE PHANTOM VOICES`) RETURN n:result: +2024-10-30 05:52:42,022 - lightrag - INFO - _do_upsert:query: + MERGE (n:`THE PHANTOM VOICES`) + SET n += $properties + RETURN n + :result:{'entity_type': '"EVENT"', 'description': '"The Phantom Voices refer to the sorrowful sounds of lamentation that Scrooge hears as the apparitions wander, representing lost opportunities and regret."', 'source_id': 'chunk-cb661c37436355ccec2769b1d0350c5f'} +2024-10-30 05:52:42,148 - lightrag - INFO - get_node:query:MATCH (n:`THE WINDOW`) RETURN n:result:"The Window is a physical presence in Scrooge\'s chamber that he approaches to observe the supernatural occurrences outside.""The Window represents a threshold between the visible and invisible worlds, allowing Scrooge a view into the realm of spirits and their lamentations."', 'source_id': 'chunk-cb661c37436355ccec2769b1d0350c5f'}> +2024-10-30 05:52:42,285 - lightrag - INFO - _do_upsert:query: + MERGE (n:`THE WINDOW`) + SET n += $properties + RETURN n + :result:{'entity_type': '"GEO"', 'description': '"The Window is a physical presence in Scrooge\'s chamber that he approaches to observe the supernatural occurrences outside.""The Window is a physical presence in Scrooge\'s chamber that he approaches to observe the supernatural occurrences outside.""The Window is a physical presence in Scrooge\'s chamber that he approaches to observe the supernatural occurrences outside.""The Window represents a threshold between the visible and invisible worlds, allowing Scrooge a view into the realm of spirits and their lamentations."', 'source_id': 'chunk-cb661c37436355ccec2769b1d0350c5f'} +2024-10-30 05:52:42,416 - lightrag - INFO - get_node:query:MATCH (n:`THE CLOCK`) RETURN n:result:"The Clock is mentioned as malfunctioning, which symbolizes the confusion and distortion of time that Scrooge experiences during his nighttime visitations.""The Clock serves as a symbol of time passing, reflecting Scrooge\'s disorientation regarding time as he transitions between reality and the supernatural.""The Clock signifies the passage of time during the Domestic Ball and plays a role in marking the end of the celebration.""The Clock serves as a symbol of time passing, reflecting Scrooge\'s disorientation regarding time as he transitions between reality and the supernatural.""The Clock signifies the passage of time during the Domestic Ball and plays a role in marking the end of the celebration."', 'source_id': 'chunk-c7b10789a9cb0af6c553730b29bd9034chunk-cb661c37436355ccec2769b1d0350c5fchunk-b2f98bc7abb0c67d4c86055c7fd72218'}> +2024-10-30 05:52:42,546 - lightrag - INFO - _do_upsert:query: + MERGE (n:`THE CLOCK`) + SET n += $properties + RETURN n + :result:{'entity_type': '"GEO"', 'description': '"The Clock is a device that malfunctions, contributing to Scrooge\'s confusion about time and reality in the narrative.""The Clock is mentioned as malfunctioning, which symbolizes the confusion and distortion of time that Scrooge experiences during his nighttime visitations.""The Clock serves as a symbol of time passing, reflecting Scrooge\'s disorientation regarding time as he transitions between reality and the supernatural.""The Clock signifies the passage of time during the Domestic Ball and plays a role in marking the end of the celebration.""The Clock serves as a symbol of time passing, reflecting Scrooge\'s disorientation regarding time as he transitions between reality and the supernatural.""The Clock signifies the passage of time during the Domestic Ball and plays a role in marking the end of the celebration.""The Clock serves as a symbol of time passing, reflecting Scrooge\'s disorientation regarding time as he transitions between reality and the supernatural.""The Clock signifies the passage of time during the Domestic Ball and plays a role in marking the end of the celebration."', 'source_id': 'chunk-c7b10789a9cb0af6c553730b29bd9034chunk-cb661c37436355ccec2769b1d0350c5fchunk-b2f98bc7abb0c67d4c86055c7fd72218'} +2024-10-30 05:52:42,679 - lightrag - INFO - get_node:query:MATCH (n:`THE DARKNESS`) RETURN n:result:"The Darkness symbolizes the confusion and the unknown that envelops Scrooge as he faces the reality of his past, present, and future.""The Darkness symbolizes the confusion and the unknown that envelops Scrooge as he faces the reality of his past, present, and future."', 'source_id': 'chunk-cb661c37436355ccec2769b1d0350c5f'}> +2024-10-30 05:52:42,812 - lightrag - INFO - _do_upsert:query: + MERGE (n:`THE DARKNESS`) + SET n += $properties + RETURN n + :result:{'entity_type': '"CONCEPT"', 'description': '"The Darkness refers to the absence of light, signifying uncertainty and fear in Scrooge\'s transformation journey.""The Darkness symbolizes the confusion and the unknown that envelops Scrooge as he faces the reality of his past, present, and future.""The Darkness symbolizes the confusion and the unknown that envelops Scrooge as he faces the reality of his past, present, and future.""The Darkness symbolizes the confusion and the unknown that envelops Scrooge as he faces the reality of his past, present, and future."', 'source_id': 'chunk-cb661c37436355ccec2769b1d0350c5f'} +2024-10-30 05:52:42,940 - lightrag - INFO - get_node:query:MATCH (n:`CLOCK`) RETURN n:result: +2024-10-30 05:52:43,075 - lightrag - INFO - _do_upsert:query: + MERGE (n:`CLOCK`) + SET n += $properties + RETURN n + :result:{'entity_type': '"ORGANIZATION"', 'description': '"The Clock symbolizes the passage of time and plays a pivotal role in establishing the moments of Scrooge\'s experience with the Ghost."', 'source_id': 'chunk-c7b10789a9cb0af6c553730b29bd9034'} +2024-10-30 05:52:43,204 - lightrag - INFO - get_node:query:MATCH (n:`HOLLY`) RETURN n:result:"Holly is a plant associated with Christmas, mentioned among other decorations that contribute to the festive atmosphere.""Holly is a symbol held by The Ghost, representing peace and goodwill, contrasting with the cold wintry atmosphere around Scrooge.""Holly is mentioned as part of the traditional decorations associated with Christmas, symbolizing festivity.""Holly represents a traditional decoration associated with Christmas, symbolizing festivity and the presence of the Christmas spirit.""Holly is a symbol held by The Ghost, representing peace and goodwill, contrasting with the cold wintry atmosphere around Scrooge.""Holly is mentioned as part of the traditional decorations associated with Christmas, symbolizing festivity.""Holly represents a traditional decoration associated with Christmas, symbolizing festivity and the presence of the Christmas spirit."', 'source_id': 'chunk-c7b10789a9cb0af6c553730b29bd9034chunk-843b5b2f944c7413d9ca876e2e2f151fchunk-99b0ec7f7e006561352b5d65e849611d'}> +2024-10-30 05:52:43,342 - lightrag - INFO - _do_upsert:query: + MERGE (n:`HOLLY`) + SET n += $properties + RETURN n + :result:{'entity_type': '"ORGANIZATION"', 'description': '"Holly is a plant associated with Christmas, featured prominently in the Spirit\'s attire, symbolizing joy and celebration during the festive season.""Holly is a plant associated with Christmas, mentioned among other decorations that contribute to the festive atmosphere.""Holly is a symbol held by The Ghost, representing peace and goodwill, contrasting with the cold wintry atmosphere around Scrooge.""Holly is mentioned as part of the traditional decorations associated with Christmas, symbolizing festivity.""Holly represents a traditional decoration associated with Christmas, symbolizing festivity and the presence of the Christmas spirit.""Holly is a symbol held by The Ghost, representing peace and goodwill, contrasting with the cold wintry atmosphere around Scrooge.""Holly is mentioned as part of the traditional decorations associated with Christmas, symbolizing festivity.""Holly represents a traditional decoration associated with Christmas, symbolizing festivity and the presence of the Christmas spirit.""Holly is a symbol held by The Ghost, representing peace and goodwill, contrasting with the cold wintry atmosphere around Scrooge.""Holly is mentioned as part of the traditional decorations associated with Christmas, symbolizing festivity.""Holly represents a traditional decoration associated with Christmas, symbolizing festivity and the presence of the Christmas spirit."', 'source_id': 'chunk-c7b10789a9cb0af6c553730b29bd9034chunk-843b5b2f944c7413d9ca876e2e2f151fchunk-99b0ec7f7e006561352b5d65e849611d'} +2024-10-30 05:52:43,474 - lightrag - INFO - get_node:query:MATCH (n:`LIGHT`) RETURN n:result:"Light is a prominent feature associated with The Ghost, symbolizing knowledge and revelation, illuminating the darkness of Scrooge\'s ignorance.""Light is a prominent feature associated with The Ghost, symbolizing knowledge and revelation, illuminating the darkness of Scrooge\'s ignorance."', 'source_id': 'chunk-c7b10789a9cb0af6c553730b29bd9034'}> +2024-10-30 05:52:43,609 - lightrag - INFO - _do_upsert:query: + MERGE (n:`LIGHT`) + SET n += $properties + RETURN n + :result:{'entity_type': '"CONCEPT"', 'description': '"Light emanates from The Visitor, symbolizing clarity, revelation, and the supernatural, contrasting with the darkness around Scrooge\'s situation.""Light is a prominent feature associated with The Ghost, symbolizing knowledge and revelation, illuminating the darkness of Scrooge\'s ignorance.""Light is a prominent feature associated with The Ghost, symbolizing knowledge and revelation, illuminating the darkness of Scrooge\'s ignorance.""Light is a prominent feature associated with The Ghost, symbolizing knowledge and revelation, illuminating the darkness of Scrooge\'s ignorance."', 'source_id': 'chunk-c7b10789a9cb0af6c553730b29bd9034'} +2024-10-30 05:52:43,737 - lightrag - INFO - get_node:query:MATCH (n:`WINTER`) RETURN n:result: +2024-10-30 05:52:43,867 - lightrag - INFO - _do_upsert:query: + MERGE (n:`WINTER`) + SET n += $properties + RETURN n + :result:{'entity_type': '"GEO"', 'description': '"Winter represents the cold and bleak environment that surrounds Scrooge during his nighttime encounters with the supernatural."', 'source_id': 'chunk-c7b10789a9cb0af6c553730b29bd9034'} +2024-10-30 05:52:43,993 - lightrag - INFO - get_node:query:MATCH (n:`THE DRESSING-GOWN`) RETURN n:result:"The Dressing-Gown is worn by Scrooge, symbolizing his state of vulnerability and introspection as he grapples with profound ideas in the narrative.""The Dressing-Gown is worn by Scrooge, symbolizing his state of vulnerability and introspection as he grapples with profound ideas in the narrative."', 'source_id': 'chunk-c7b10789a9cb0af6c553730b29bd9034chunk-9c43dac2fcd5b578242d907ea6f8fc7b'}> +2024-10-30 05:52:44,123 - lightrag - INFO - _do_upsert:query: + MERGE (n:`THE DRESSING-GOWN`) + SET n += $properties + RETURN n + :result:{'entity_type': '"ORGANIZATION"', 'description': '"The Dressing-Gown is worn by Scrooge, illustrating his solitary, night-time routine and emphasizing his isolation.""The Dressing-Gown is worn by Scrooge, symbolizing his state of vulnerability and introspection as he grapples with profound ideas in the narrative.""The Dressing-Gown is worn by Scrooge, symbolizing his state of vulnerability and introspection as he grapples with profound ideas in the narrative.""The Dressing-Gown is worn by Scrooge, symbolizing his state of vulnerability and introspection as he grapples with profound ideas in the narrative."', 'source_id': 'chunk-c7b10789a9cb0af6c553730b29bd9034chunk-9c43dac2fcd5b578242d907ea6f8fc7b'} +2024-10-30 05:52:44,251 - lightrag - INFO - get_node:query:MATCH (n:`TUNIC`) RETURN n:result: +2024-10-30 05:52:44,387 - lightrag - INFO - _do_upsert:query: + MERGE (n:`TUNIC`) + SET n += $properties + RETURN n + :result:{'entity_type': '"CONCEPT"', 'description': '"The Tunic is part of The Ghost\'s attire, signifying purity and heavenly qualities in contrast to Scrooge\'s current state."', 'source_id': 'chunk-c7b10789a9cb0af6c553730b29bd9034'} +2024-10-30 05:52:44,519 - lightrag - INFO - get_node:query:MATCH (n:`BELL`) RETURN n:result: +2024-10-30 05:52:44,653 - lightrag - INFO - _do_upsert:query: + MERGE (n:`BELL`) + SET n += $properties + RETURN n + :result:{'entity_type': '"EVENT"', 'description': '"The Bell signifies the passage of time and is crucial in alerting Scrooge to the hour of visitation by The Ghost."', 'source_id': 'chunk-c7b10789a9cb0af6c553730b29bd9034'} +2024-10-30 05:52:44,782 - lightrag - INFO - get_node:query:MATCH (n:`CLOCK'S STRIKE`) RETURN n:result: +2024-10-30 05:52:44,918 - lightrag - INFO - _do_upsert:query: + MERGE (n:`CLOCK'S STRIKE`) + SET n += $properties + RETURN n + :result:{'entity_type': '"EVENT"', 'description': '"The Clock\'s Strike is an event marking significant moments throughout the narrative, emphasizing the theme of time."', 'source_id': 'chunk-c7b10789a9cb0af6c553730b29bd9034'} +2024-10-30 05:52:45,047 - lightrag - INFO - get_node:query:MATCH (n:`DREAM`) RETURN n:result:"Dream refers to Scrooge\'s mental conflict regarding whether the spectral encounters are real or figments of his imagination.""Dream refers to the possibility that Scrooge\'s experiences are a figment of his imagination, reflecting his internal struggle with reality and perception."', 'source_id': 'chunk-c7b10789a9cb0af6c553730b29bd9034'}> +2024-10-30 05:52:45,179 - lightrag - INFO - _do_upsert:query: + MERGE (n:`DREAM`) + SET n += $properties + RETURN n + :result:{'entity_type': '"CONCEPT"', 'description': '"Dream refers to Scrooge\'s mental conflict regarding whether the spectral encounters are real or figments of his imagination.""Dream refers to Scrooge\'s mental conflict regarding whether the spectral encounters are real or figments of his imagination.""Dream refers to Scrooge\'s mental conflict regarding whether the spectral encounters are real or figments of his imagination.""Dream refers to the possibility that Scrooge\'s experiences are a figment of his imagination, reflecting his internal struggle with reality and perception."', 'source_id': 'chunk-c7b10789a9cb0af6c553730b29bd9034'} +2024-10-30 05:52:45,307 - lightrag - INFO - get_node:query:MATCH (n:`DING DONG`) RETURN n:result: +2024-10-30 05:52:45,447 - lightrag - INFO - _do_upsert:query: + MERGE (n:`DING DONG`) + SET n += $properties + RETURN n + :result:{'entity_type': '"EVENT"', 'description': '"Ding Dong represents the sound of the clock chimes, anchoring the reader in time and emphasizing the moments of realization for Scrooge."', 'source_id': 'chunk-c7b10789a9cb0af6c553730b29bd9034'} +2024-10-30 05:52:45,579 - lightrag - INFO - get_node:query:MATCH (n:`TIME`) RETURN n:result: +2024-10-30 05:52:45,712 - lightrag - INFO - _do_upsert:query: + MERGE (n:`TIME`) + SET n += $properties + RETURN n + :result:{'entity_type': '"CONCEPT"', 'description': '"Time is a central theme, with characters reflecting on its passage and significance in relation to life and revelations."', 'source_id': 'chunk-c7b10789a9cb0af6c553730b29bd9034'} +2024-10-30 05:52:45,841 - lightrag - INFO - get_node:query:MATCH (n:`THE SPIRIT`) RETURN n:result:chunk-91572b3cd42786ba4cb2f180ca25cbf4chunk-503f0bfa5453467c7c61d160a3540ecachunk-19d72c57ae3408758b18d2568e86dc6bchunk-b2f98bc7abb0c67d4c86055c7fd72218chunk-b0f459f5af1c3a5e0b92cbe4ee48b77bchunk-e1f29eeadc1d8ab46dc8a0bbd3c56b64chunk-91614df5cb74cbe5e109a338a82041e9chunk-da2472b4ef2a535b62908f14d0fb0ca9chunk-bb21d58d36c6306fd8810ddd51c4a971chunk-43c9bee23adfa77aa9dedd22401bba7dchunk-8590d9263cd2cd4fa583c432fc54e6c3'}> +2024-10-30 05:52:45,843 - lightrag - DEBUG - Trigger summary: "THE SPIRIT" +2024-10-30 05:52:45,944 - lightrag - INFO - get_node:query:MATCH (n:`WINTER DAY`) RETURN n:result:"The winter day serves as the setting for Scrooge\'s journey with the Ghost, representing a time for reflection and nostalgia.""The winter day serves as the setting for Scrooge\'s journey with the Ghost, representing a time for reflection and nostalgia."', 'source_id': 'chunk-bb21d58d36c6306fd8810ddd51c4a971'}> +2024-10-30 05:52:46,074 - lightrag - INFO - _do_upsert:query: + MERGE (n:`WINTER DAY`) + SET n += $properties + RETURN n + :result:{'entity_type': '"EVENT"', 'description': '"The Winter Day signifies the seasonal setting during Scrooge\'s journey through his memories, highlighting a clear, cold atmosphere filled with nostalgia.""The winter day serves as the setting for Scrooge\'s journey with the Ghost, representing a time for reflection and nostalgia.""The winter day serves as the setting for Scrooge\'s journey with the Ghost, representing a time for reflection and nostalgia.""The winter day serves as the setting for Scrooge\'s journey with the Ghost, representing a time for reflection and nostalgia."', 'source_id': 'chunk-bb21d58d36c6306fd8810ddd51c4a971'} +2024-10-30 05:52:46,207 - lightrag - INFO - get_node:query:MATCH (n:`MARKET-TOWN`) RETURN n:result:"The market-town appears in Scrooge\'s memories as a significant place from his childhood, representing a connection to his past.""The market-town appears in Scrooge\'s memories as a significant place from his childhood, representing a connection to his past."', 'source_id': 'chunk-bb21d58d36c6306fd8810ddd51c4a971'}> +2024-10-30 05:52:46,344 - lightrag - INFO - _do_upsert:query: + MERGE (n:`MARKET-TOWN`) + SET n += $properties + RETURN n + :result:{'entity_type': '"GEO"', 'description': '"The Market-Town is a nostalgic location from Scrooge\'s youth, evoking memories and emotions tied to his childhood.""The market-town appears in Scrooge\'s memories as a significant place from his childhood, representing a connection to his past.""The market-town appears in Scrooge\'s memories as a significant place from his childhood, representing a connection to his past.""The market-town appears in Scrooge\'s memories as a significant place from his childhood, representing a connection to his past."', 'source_id': 'chunk-bb21d58d36c6306fd8810ddd51c4a971'} +2024-10-30 05:52:46,478 - lightrag - INFO - get_node:query:MATCH (n:`BOYS`) RETURN n:result: +2024-10-30 05:52:46,610 - lightrag - INFO - _do_upsert:query: + MERGE (n:`BOYS`) + SET n += $properties + RETURN n + :result:{'entity_type': '"PERSON"', 'description': '"The boys are depicted as cheerful characters riding ponies, contributing to the joyful atmosphere and memories of Scrooge\'s past."', 'source_id': 'chunk-bb21d58d36c6306fd8810ddd51c4a971'} +2024-10-30 05:52:46,740 - lightrag - INFO - get_node:query:MATCH (n:`SHAGGY PONIES`) RETURN n:result: +2024-10-30 05:52:46,879 - lightrag - INFO - _do_upsert:query: + MERGE (n:`SHAGGY PONIES`) + SET n += $properties + RETURN n + :result:{'entity_type': '"GEO"', 'description': '"Shaggy ponies are mentioned as part of the scene, representing the innocent and playful aspects of Scrooge\'s childhood."', 'source_id': 'chunk-bb21d58d36c6306fd8810ddd51c4a971'} +2024-10-30 05:52:47,008 - lightrag - INFO - get_node:query:MATCH (n:`BRIDGE`) RETURN n:result: +2024-10-30 05:52:47,142 - lightrag - INFO - _do_upsert:query: + MERGE (n:`BRIDGE`) + SET n += $properties + RETURN n + :result:{'entity_type': '"GEO"', 'description': '"The bridge is a landmark in the market-town that Scrooge recognizes from his childhood, symbolizing a connection to his past."', 'source_id': 'chunk-bb21d58d36c6306fd8810ddd51c4a971'} +2024-10-30 05:52:47,270 - lightrag - INFO - get_node:query:MATCH (n:`CHURCH`) RETURN n:result: +2024-10-30 05:52:47,403 - lightrag - INFO - _do_upsert:query: + MERGE (n:`CHURCH`) + SET n += $properties + RETURN n + :result:{'entity_type': '"GEO"', 'description': '"The church is another landmark in the market-town representing tradition and community significant to Scrooge\'s memories."', 'source_id': 'chunk-bb21d58d36c6306fd8810ddd51c4a971'} +2024-10-30 05:52:47,529 - lightrag - INFO - get_node:query:MATCH (n:`WINDING RIVER`) RETURN n:result: +2024-10-30 05:52:47,660 - lightrag - INFO - _do_upsert:query: + MERGE (n:`WINDING RIVER`) + SET n += $properties + RETURN n + :result:{'entity_type': '"GEO"', 'description': '"The winding river is part of the landscape Scrooge recalls, tying into his emotions of nostalgia and remembrance of home."', 'source_id': 'chunk-bb21d58d36c6306fd8810ddd51c4a971'} +2024-10-30 05:52:47,790 - lightrag - INFO - get_node:query:MATCH (n:`ALI BABA`) RETURN n:result:"Ali Baba is a character from a story recalled by Scrooge, representing memories of adventure and kindness during Christmas.""Ali Baba is mentioned as a character from a story that impacts Scrooge during his reflection on Christmas and childhood."', 'source_id': 'chunk-8590d9263cd2cd4fa583c432fc54e6c3'}> +2024-10-30 05:52:47,922 - lightrag - INFO - _do_upsert:query: + MERGE (n:`ALI BABA`) + SET n += $properties + RETURN n + :result:{'entity_type': '"PERSON"', 'description': '"Ali Baba is a character from a story recalled by Scrooge, representing memories of adventure and kindness during Christmas.""Ali Baba is a character from a story recalled by Scrooge, representing memories of adventure and kindness during Christmas.""Ali Baba is a character from a story recalled by Scrooge, representing memories of adventure and kindness during Christmas.""Ali Baba is mentioned as a character from a story that impacts Scrooge during his reflection on Christmas and childhood."', 'source_id': 'chunk-8590d9263cd2cd4fa583c432fc54e6c3'} +2024-10-30 05:52:48,049 - lightrag - INFO - get_node:query:MATCH (n:`VALENTINE`) RETURN n:result:"Valentine is mentioned as a character associated with Scrooge\'s childhood memories, indicating the depth of his nostalgia.""Valentine is referenced as a brother of a character, and his presence contributes to the holiday memories Scrooge recalls."', 'source_id': 'chunk-8590d9263cd2cd4fa583c432fc54e6c3'}> +2024-10-30 05:52:48,183 - lightrag - INFO - _do_upsert:query: + MERGE (n:`VALENTINE`) + SET n += $properties + RETURN n + :result:{'entity_type': '"PERSON"', 'description': '"Valentine is mentioned as a character associated with Scrooge\'s childhood memories, indicating the depth of his nostalgia.""Valentine is mentioned as a character associated with Scrooge\'s childhood memories, indicating the depth of his nostalgia.""Valentine is mentioned as a character associated with Scrooge\'s childhood memories, indicating the depth of his nostalgia.""Valentine is referenced as a brother of a character, and his presence contributes to the holiday memories Scrooge recalls."', 'source_id': 'chunk-8590d9263cd2cd4fa583c432fc54e6c3'} +2024-10-30 05:52:48,312 - lightrag - INFO - get_node:query:MATCH (n:`ORSON`) RETURN n:result:"Orson, the wild brother of Valentine, is another figure from Scrooge\'s past, representing familial connections and memories.""Orson, the wild brother of Valentine, is another figure from Scrooge\'s past, representing familial connections and memories."', 'source_id': 'chunk-8590d9263cd2cd4fa583c432fc54e6c3'}> +2024-10-30 05:52:48,449 - lightrag - INFO - _do_upsert:query: + MERGE (n:`ORSON`) + SET n += $properties + RETURN n + :result:{'entity_type': '"PERSON"', 'description': '"Orson is mentioned as another brother mentioned by Scrooge, recalling his childhood tales and adventures.""Orson, the wild brother of Valentine, is another figure from Scrooge\'s past, representing familial connections and memories.""Orson, the wild brother of Valentine, is another figure from Scrooge\'s past, representing familial connections and memories.""Orson, the wild brother of Valentine, is another figure from Scrooge\'s past, representing familial connections and memories."', 'source_id': 'chunk-8590d9263cd2cd4fa583c432fc54e6c3'} +2024-10-30 05:52:48,579 - lightrag - INFO - get_node:query:MATCH (n:`MANSION`) RETURN n:result: +2024-10-30 05:52:48,713 - lightrag - INFO - _do_upsert:query: + MERGE (n:`MANSION`) + SET n += $properties + RETURN n + :result:{'entity_type': '"GEO"', 'description': '"The Mansion is a large house described as being in a state of decay and neglect, serving as a setting for Scrooge\'s memories."', 'source_id': 'chunk-8590d9263cd2cd4fa583c432fc54e6c3'} +2024-10-30 05:52:48,842 - lightrag - INFO - get_node:query:MATCH (n:`CHILD`) RETURN n:result: +2024-10-30 05:52:48,972 - lightrag - INFO - _do_upsert:query: + MERGE (n:`CHILD`) + SET n += $properties + RETURN n + :result:{'entity_type': '"PERSON"', 'description': '"The Child is a solitary figure leaving in the school, representing loneliness and the emotions tied to Scrooge\'s memories of his younger self."', 'source_id': 'chunk-8590d9263cd2cd4fa583c432fc54e6c3'} +2024-10-30 05:52:49,101 - lightrag - INFO - get_node:query:MATCH (n:`ROBIN CRUSOE`) RETURN n:result:"Robin Crusoe is a character from literature that Scrooge remembers fondly, illustrating his connection to stories of adventure and survival.""Robin Crusoe is a character referenced by Scrooge as part of his memories, signifying tales of adventure and nostalgia."', 'source_id': 'chunk-8590d9263cd2cd4fa583c432fc54e6c3'}> +2024-10-30 05:52:49,234 - lightrag - INFO - _do_upsert:query: + MERGE (n:`ROBIN CRUSOE`) + SET n += $properties + RETURN n + :result:{'entity_type': '"PERSON"', 'description': '"Robin Crusoe is a character from literature that Scrooge remembers fondly, illustrating his connection to stories of adventure and survival.""Robin Crusoe is a character from literature that Scrooge remembers fondly, illustrating his connection to stories of adventure and survival.""Robin Crusoe is a character from literature that Scrooge remembers fondly, illustrating his connection to stories of adventure and survival.""Robin Crusoe is a character referenced by Scrooge as part of his memories, signifying tales of adventure and nostalgia."', 'source_id': 'chunk-8590d9263cd2cd4fa583c432fc54e6c3'} +2024-10-30 05:52:49,361 - lightrag - INFO - get_node:query:MATCH (n:`FRIDAY`) RETURN n:result:"Friday is another character from the story of Robin Crusoe, noted in Scrooge\'s memories, indicating the impact of literature on his nostalgia.""Friday is another character from the story of Robin Crusoe, noted in Scrooge\'s memories, indicating the impact of literature on his nostalgia."', 'source_id': 'chunk-8590d9263cd2cd4fa583c432fc54e6c3'}> +2024-10-30 05:52:49,496 - lightrag - INFO - _do_upsert:query: + MERGE (n:`FRIDAY`) + SET n += $properties + RETURN n + :result:{'entity_type': '"PERSON"', 'description': '"Friday is another character from a story mentioned by Scrooge during his nostalgic recollections of childhood.""Friday is another character from the story of Robin Crusoe, noted in Scrooge\'s memories, indicating the impact of literature on his nostalgia.""Friday is another character from the story of Robin Crusoe, noted in Scrooge\'s memories, indicating the impact of literature on his nostalgia.""Friday is another character from the story of Robin Crusoe, noted in Scrooge\'s memories, indicating the impact of literature on his nostalgia."', 'source_id': 'chunk-8590d9263cd2cd4fa583c432fc54e6c3'} +2024-10-30 05:52:49,626 - lightrag - INFO - get_node:query:MATCH (n:`THE PARROT`) RETURN n:result: +2024-10-30 05:52:49,756 - lightrag - INFO - _do_upsert:query: + MERGE (n:`THE PARROT`) + SET n += $properties + RETURN n + :result:{'entity_type': '"PERSON"', 'description': '"The Parrot is a character in Scrooge\'s memory tied to Robin Crusoe, representing Scrooge\'s whimsical recollections."', 'source_id': 'chunk-8590d9263cd2cd4fa583c432fc54e6c3'} +2024-10-30 05:52:49,882 - lightrag - INFO - get_node:query:MATCH (n:`DICK WILKINS`) RETURN n:result:"Dick Wilkins is Scrooge\'s fellow apprentice and close companion during his younger years, indicating camaraderie during their apprenticeship.""Dick Wilkins is Scrooge\'s fellow apprentice, associated with Scrooge\'s past and the context of his earlier, more carefree life.""Dick Wilkins is a former apprentice of Scrooge, remembered fondly for his attachment to Scrooge.""Dick Wilkins is Scrooge\'s fellow apprentice, associated with Scrooge\'s past and the context of his earlier, more carefree life.""Dick Wilkins is a former apprentice of Scrooge, remembered fondly for his attachment to Scrooge."', 'source_id': 'chunk-c6c248858d1b13ab7ee9ca13c1aeed6bchunk-8bc1edd983869352d14cf0886a9175a7'}> +2024-10-30 05:52:50,013 - lightrag - INFO - _do_upsert:query: + MERGE (n:`DICK WILKINS`) + SET n += $properties + RETURN n + :result:{'entity_type': '"PERSON"', 'description': '"Dick Wilkins is Ebenezer\'s fellow apprentice, with whom he shared a strong attachment during their youth.""Dick Wilkins is Scrooge\'s fellow apprentice and close companion during his younger years, indicating camaraderie during their apprenticeship.""Dick Wilkins is Scrooge\'s fellow apprentice, associated with Scrooge\'s past and the context of his earlier, more carefree life.""Dick Wilkins is a former apprentice of Scrooge, remembered fondly for his attachment to Scrooge.""Dick Wilkins is Scrooge\'s fellow apprentice, associated with Scrooge\'s past and the context of his earlier, more carefree life.""Dick Wilkins is a former apprentice of Scrooge, remembered fondly for his attachment to Scrooge.""Dick Wilkins is Scrooge\'s fellow apprentice, associated with Scrooge\'s past and the context of his earlier, more carefree life.""Dick Wilkins is a former apprentice of Scrooge, remembered fondly for his attachment to Scrooge."', 'source_id': 'chunk-8bc1edd983869352d14cf0886a9175a7chunk-c6c248858d1b13ab7ee9ca13c1aeed6b'} +2024-10-30 05:52:50,143 - lightrag - INFO - get_node:query:MATCH (n:`THE CITY`) RETURN n:result:"The City represents the bustling urban environment where Scrooge reflects on his past, filled with activity and shadowy figures.""The City, from which Scrooge is transported, represents his past life and is contrasted with the open country road that signifies his memories.""The City refers to the broader urban environment in which Scrooge operates and signifies the societal norms and attitudes towards Christmas.""The City represents the bustling urban environment where Scrooge\'s memories unfold, highlighting the contrast between his past and present.""The City refers to the broader urban environment in which Scrooge operates and signifies the societal norms and attitudes towards Christmas.""The City represents the bustling urban environment where Scrooge\'s memories unfold, highlighting the contrast between his past and present."', 'source_id': 'chunk-74e2466de2f67fd710ef2f20c0a8d9e0chunk-c6c248858d1b13ab7ee9ca13c1aeed6bchunk-94bea83e7153fc2064aa382b494936a1chunk-bb21d58d36c6306fd8810ddd51c4a971'}> +2024-10-30 05:52:50,274 - lightrag - INFO - _do_upsert:query: + MERGE (n:`THE CITY`) + SET n += $properties + RETURN n + :result:{'entity_type': '"GEO"', 'description': '"The City provides the backdrop for Scrooge\'s story, representing the bustling environment that underscores his loneliness and detachment from society.""The City represents the bustling urban environment where Scrooge reflects on his past, filled with activity and shadowy figures.""The City, from which Scrooge is transported, represents his past life and is contrasted with the open country road that signifies his memories.""The City refers to the broader urban environment in which Scrooge operates and signifies the societal norms and attitudes towards Christmas.""The City represents the bustling urban environment where Scrooge\'s memories unfold, highlighting the contrast between his past and present.""The City refers to the broader urban environment in which Scrooge operates and signifies the societal norms and attitudes towards Christmas.""The City represents the bustling urban environment where Scrooge\'s memories unfold, highlighting the contrast between his past and present.""The City refers to the broader urban environment in which Scrooge operates and signifies the societal norms and attitudes towards Christmas.""The City represents the bustling urban environment where Scrooge\'s memories unfold, highlighting the contrast between his past and present."', 'source_id': 'chunk-94bea83e7153fc2064aa382b494936a1chunk-bb21d58d36c6306fd8810ddd51c4a971chunk-c6c248858d1b13ab7ee9ca13c1aeed6bchunk-74e2466de2f67fd710ef2f20c0a8d9e0'} +2024-10-30 05:52:50,402 - lightrag - INFO - get_node:query:MATCH (n:`HOME`) RETURN n:result:"Home represents the physical and emotional center for the family, where the Christmas celebration takes place.""Home symbolizes warmth, safety, and family connection, representing what Scrooge yearns for but has lost in his life.""Home symbolizes warmth, safety, and family connection, representing what Scrooge yearns for but has lost in his life."', 'source_id': 'chunk-da2472b4ef2a535b62908f14d0fb0ca9chunk-c6c248858d1b13ab7ee9ca13c1aeed6b'}> +2024-10-30 05:52:50,535 - lightrag - INFO - _do_upsert:query: + MERGE (n:`HOME`) + SET n += $properties + RETURN n + :result:{'entity_type': '"CONCEPT"', 'description': '"Home represents the physical and emotional center for the family, where the Christmas celebration takes place.""Home represents the physical and emotional center for the family, where the Christmas celebration takes place.""Home represents the physical and emotional center for the family, where the Christmas celebration takes place.""Home symbolizes warmth, safety, and family connection, representing what Scrooge yearns for but has lost in his life.""Home symbolizes warmth, safety, and family connection, representing what Scrooge yearns for but has lost in his life.""Home symbolizes warmth, safety, and family connection, representing what Scrooge yearns for but has lost in his life."', 'source_id': 'chunk-c6c248858d1b13ab7ee9ca13c1aeed6bchunk-da2472b4ef2a535b62908f14d0fb0ca9'} +2024-10-30 05:52:50,665 - lightrag - INFO - get_node:query:MATCH (n:`COACH`) RETURN n:result: +2024-10-30 05:52:50,798 - lightrag - INFO - _do_upsert:query: + MERGE (n:`COACH`) + SET n += $properties + RETURN n + :result:{'entity_type': '"CONCEPT"', 'description': '"The Coach is a means of transport that signifies the transition from Scrooge\'s lonely past to the possibility of companionship and warmth."', 'source_id': 'chunk-c6c248858d1b13ab7ee9ca13c1aeed6b'} +2024-10-30 05:52:50,926 - lightrag - INFO - get_node:query:MATCH (n:`THE SCHOOL`) RETURN n:result: +2024-10-30 05:52:51,055 - lightrag - INFO - _do_upsert:query: + MERGE (n:`THE SCHOOL`) + SET n += $properties + RETURN n + :result:{'entity_type': '"ORGANIZATION"', 'description': '"The School represents the institutional aspect of Scrooge\'s childhood, contrasting with the warmth and love represented by Fan."', 'source_id': 'chunk-c6c248858d1b13ab7ee9ca13c1aeed6b'} +2024-10-30 05:52:51,181 - lightrag - INFO - get_node:query:MATCH (n:`COLD`) RETURN n:result: +2024-10-30 05:52:51,312 - lightrag - INFO - _do_upsert:query: + MERGE (n:`COLD`) + SET n += $properties + RETURN n + :result:{'entity_type': '"CONCEPT"', 'description': '"Cold symbolizes the emotional detachment and isolation present in Scrooge\'s life, contrasting with the warmth of family and connection that he longs for."', 'source_id': 'chunk-c6c248858d1b13ab7ee9ca13c1aeed6b'} +2024-10-30 05:52:51,439 - lightrag - INFO - get_node:query:MATCH (n:`EVENING`) RETURN n:result: +2024-10-30 05:52:51,572 - lightrag - INFO - _do_upsert:query: + MERGE (n:`EVENING`) + SET n += $properties + RETURN n + :result:{'entity_type': '"EVENT"', 'description': '"Evening represents a time of transition and reflection as Scrooge recalls his past and seeks transformation."', 'source_id': 'chunk-c6c248858d1b13ab7ee9ca13c1aeed6b'} +2024-10-30 05:52:51,702 - lightrag - INFO - get_node:query:MATCH (n:`THE PARTY`) RETURN n:result:"The Party refers to the potential gathering for the funeral, which the characters consider with amusement rather than sincerity.""The Party refers to festive gatherings that Fezziwig hosts, showcasing joy and camaraderie during the Christmas season.""The Party refers to festive gatherings that Fezziwig hosts, showcasing joy and camaraderie during the Christmas season."', 'source_id': 'chunk-c6c248858d1b13ab7ee9ca13c1aeed6bchunk-f1a4fbcf1ed86864b9bfd5e8dba4c683chunk-94bea83e7153fc2064aa382b494936a1'}> +2024-10-30 05:52:51,836 - lightrag - INFO - _do_upsert:query: + MERGE (n:`THE PARTY`) + SET n += $properties + RETURN n + :result:{'entity_type': '"EVENT"', 'description': '"The Party is a festive gathering that celebrates Christmas, filled with games and joyful unity among friends and family.""The Party refers to the potential gathering for the funeral, which the characters consider with amusement rather than sincerity.""The Party refers to festive gatherings that Fezziwig hosts, showcasing joy and camaraderie during the Christmas season.""The Party refers to festive gatherings that Fezziwig hosts, showcasing joy and camaraderie during the Christmas season.""The Party refers to festive gatherings that Fezziwig hosts, showcasing joy and camaraderie during the Christmas season."', 'source_id': 'chunk-f1a4fbcf1ed86864b9bfd5e8dba4c683chunk-94bea83e7153fc2064aa382b494936a1chunk-c6c248858d1b13ab7ee9ca13c1aeed6b'} +2024-10-30 05:52:51,962 - lightrag - INFO - get_node:query:MATCH (n:`THE CHILDREN`) RETURN n:result:"The Children are a group experiencing feelings of wonder and delight during the gift-giving scene, highlighting innocence and joy.""The Children are a lively group in the matron\'s home, symbolizing joy, chaos, and familial warmth.""The Children in the Cratchit family represent innocence and curiosity, highlighting the effects of their family\'s struggles on their happiness.""The Children refer to the group of young individuals filled with wonder and delight during the Christmas festivities.""The Children serve as symbols of innocence and joy, representing the untainted happiness of childhood that Scrooge longs to reconnect with.""The children are the offspring of the Cratchit family, showcasing innocence and joy during the Christmas celebrations, reacting with laughter and cheer.""The Children are a lively group in the matron\'s home, symbolizing joy, chaos, and familial warmth.""The Children in the Cratchit family represent innocence and curiosity, highlighting the effects of their family\'s struggles on their happiness.""The Children serve as symbols of innocence and joy, representing the untainted happiness of childhood that Scrooge longs to reconnect with.""The children are the offspring of the Cratchit family, showcasing innocence and joy during the Christmas celebrations, reacting with laughter and cheer."', 'source_id': 'chunk-83ac129dc9b56f84c46760d153d68e93chunk-19d72c57ae3408758b18d2568e86dc6bchunk-c6c248858d1b13ab7ee9ca13c1aeed6bchunk-da2472b4ef2a535b62908f14d0fb0ca9chunk-54bdd22db1f84a965b5f4c06c9216d8d'}> +2024-10-30 05:52:52,094 - lightrag - INFO - _do_upsert:query: + MERGE (n:`THE CHILDREN`) + SET n += $properties + RETURN n + :result:{'entity_type': '"PERSON"', 'description': '"The Children are a group experiencing feelings of wonder and delight during the gift-giving scene, highlighting innocence and joy.""The Children are a group experiencing feelings of wonder and delight during the gift-giving scene, highlighting innocence and joy.""The Children are a group experiencing feelings of wonder and delight during the gift-giving scene, highlighting innocence and joy.""The Children are a lively group in the matron\'s home, symbolizing joy, chaos, and familial warmth.""The Children in the Cratchit family represent innocence and curiosity, highlighting the effects of their family\'s struggles on their happiness.""The Children refer to the group of young individuals filled with wonder and delight during the Christmas festivities.""The Children serve as symbols of innocence and joy, representing the untainted happiness of childhood that Scrooge longs to reconnect with.""The children are the offspring of the Cratchit family, showcasing innocence and joy during the Christmas celebrations, reacting with laughter and cheer.""The Children are a lively group in the matron\'s home, symbolizing joy, chaos, and familial warmth.""The Children in the Cratchit family represent innocence and curiosity, highlighting the effects of their family\'s struggles on their happiness.""The Children serve as symbols of innocence and joy, representing the untainted happiness of childhood that Scrooge longs to reconnect with.""The children are the offspring of the Cratchit family, showcasing innocence and joy during the Christmas celebrations, reacting with laughter and cheer.""The Children are a lively group in the matron\'s home, symbolizing joy, chaos, and familial warmth.""The Children in the Cratchit family represent innocence and curiosity, highlighting the effects of their family\'s struggles on their happiness.""The Children serve as symbols of innocence and joy, representing the untainted happiness of childhood that Scrooge longs to reconnect with.""The children are the offspring of the Cratchit family, showcasing innocence and joy during the Christmas celebrations, reacting with laughter and cheer."', 'source_id': 'chunk-54bdd22db1f84a965b5f4c06c9216d8dchunk-19d72c57ae3408758b18d2568e86dc6bchunk-c6c248858d1b13ab7ee9ca13c1aeed6bchunk-83ac129dc9b56f84c46760d153d68e93chunk-da2472b4ef2a535b62908f14d0fb0ca9'} +2024-10-30 05:52:52,221 - lightrag - INFO - get_node:query:MATCH (n:`A COACH TO BRING YOU HOME`) RETURN n:result: +2024-10-30 05:52:52,352 - lightrag - INFO - _do_upsert:query: + MERGE (n:`A COACH TO BRING YOU HOME`) + SET n += $properties + RETURN n + :result:{'entity_type': '"CONCEPT"', 'description': '"A Coach to Bring You Home symbolizes the hope and opportunity for reconnection and warmth in Scrooge\'s life."', 'source_id': 'chunk-c6c248858d1b13ab7ee9ca13c1aeed6b'} +2024-10-30 05:52:52,483 - lightrag - INFO - get_node:query:MATCH (n:`THE DANCERS`) RETURN n:result: +2024-10-30 05:52:52,616 - lightrag - INFO - _do_upsert:query: + MERGE (n:`THE DANCERS`) + SET n += $properties + RETURN n + :result:{'entity_type': '"ORGANIZATION"', 'description': '"The Dancers represent the lively group of people celebrating and participating in the festivities organized by Fezziwig."', 'source_id': 'chunk-8bc1edd983869352d14cf0886a9175a7'} +2024-10-30 05:52:52,745 - lightrag - INFO - get_node:query:MATCH (n:`THE FIDDLER`) RETURN n:result:"The Fiddler is a musician who plays at Fezziwig\'s celebration, providing music for the dancers and contributing to the festive atmosphere.""The Fiddler is a musician who plays during the festivities, contributing to the atmosphere of joy and celebration."', 'source_id': 'chunk-8bc1edd983869352d14cf0886a9175a7'}> +2024-10-30 05:52:52,881 - lightrag - INFO - _do_upsert:query: + MERGE (n:`THE FIDDLER`) + SET n += $properties + RETURN n + :result:{'entity_type': '"PERSON"', 'description': '"The Fiddler is a musician who plays at Fezziwig\'s celebration, providing music for the dancers and contributing to the festive atmosphere.""The Fiddler is a musician who plays at Fezziwig\'s celebration, providing music for the dancers and contributing to the festive atmosphere.""The Fiddler is a musician who plays at Fezziwig\'s celebration, providing music for the dancers and contributing to the festive atmosphere.""The Fiddler is a musician who plays during the festivities, contributing to the atmosphere of joy and celebration."', 'source_id': 'chunk-8bc1edd983869352d14cf0886a9175a7'} +2024-10-30 05:52:53,008 - lightrag - INFO - get_node:query:MATCH (n:`THE THREE MISS FEZZIWIGS`) RETURN n:result: +2024-10-30 05:52:53,143 - lightrag - INFO - _do_upsert:query: + MERGE (n:`THE THREE MISS FEZZIWIGS`) + SET n += $properties + RETURN n + :result:{'entity_type': '"PERSON"', 'description': '"The Three Miss Fezziwigs are jovial participants in the celebration, characterized by their lovable demeanor."', 'source_id': 'chunk-8bc1edd983869352d14cf0886a9175a7'} +2024-10-30 05:52:53,267 - lightrag - INFO - get_node:query:MATCH (n:`YOUNG FOLLOWERS`) RETURN n:result: +2024-10-30 05:52:53,405 - lightrag - INFO - _do_upsert:query: + MERGE (n:`YOUNG FOLLOWERS`) + SET n += $properties + RETURN n + :result:{'entity_type': '"ORGANIZATION"', 'description': '"The Young Followers consist of several young men and women who are employed in Fezziwig\'s business and participate in the festivities."', 'source_id': 'chunk-8bc1edd983869352d14cf0886a9175a7'} +2024-10-30 05:52:53,530 - lightrag - INFO - get_node:query:MATCH (n:`THE HOUSEMAID`) RETURN n:result:"The Housemaid is a character present during the celebrations, contributing to the lively atmosphere of the evening.""The Housemaid is mentioned as part of the domestic staff involved in the celebration, contributing to the jovial atmosphere."', 'source_id': 'chunk-8bc1edd983869352d14cf0886a9175a7'}> +2024-10-30 05:52:53,661 - lightrag - INFO - _do_upsert:query: + MERGE (n:`THE HOUSEMAID`) + SET n += $properties + RETURN n + :result:{'entity_type': '"PERSON"', 'description': '"The Housemaid is a character present during the celebrations, contributing to the lively atmosphere of the evening.""The Housemaid is a character present during the celebrations, contributing to the lively atmosphere of the evening.""The Housemaid is a character present during the celebrations, contributing to the lively atmosphere of the evening.""The Housemaid is mentioned as part of the domestic staff involved in the celebration, contributing to the jovial atmosphere."', 'source_id': 'chunk-8bc1edd983869352d14cf0886a9175a7'} +2024-10-30 05:52:53,791 - lightrag - INFO - get_node:query:MATCH (n:`THE COOK`) RETURN n:result:"The Cook is another character involved in the celebrations, participating in the festivities alongside other guests.""The Cook is part of the household and participates in the festive gathering, alongside other staff."', 'source_id': 'chunk-8bc1edd983869352d14cf0886a9175a7'}> +2024-10-30 05:52:53,925 - lightrag - INFO - _do_upsert:query: + MERGE (n:`THE COOK`) + SET n += $properties + RETURN n + :result:{'entity_type': '"PERSON"', 'description': '"The Cook is another character involved in the celebrations, participating in the festivities alongside other guests.""The Cook is another character involved in the celebrations, participating in the festivities alongside other guests.""The Cook is another character involved in the celebrations, participating in the festivities alongside other guests.""The Cook is part of the household and participates in the festive gathering, alongside other staff."', 'source_id': 'chunk-8bc1edd983869352d14cf0886a9175a7'} +2024-10-30 05:52:54,052 - lightrag - INFO - get_node:query:MATCH (n:`THE BAKER`) RETURN n:result:"The Baker is related to the Housemaid and present during the celebrations, adding to the communal aspect of the event.""The Baker is related to the Housemaid and present during the celebrations, adding to the communal aspect of the event."', 'source_id': 'chunk-8bc1edd983869352d14cf0886a9175a7'}> +2024-10-30 05:52:54,184 - lightrag - INFO - _do_upsert:query: + MERGE (n:`THE BAKER`) + SET n += $properties + RETURN n + :result:{'entity_type': '"PERSON"', 'description': '"The Baker is a cousin to the housemaid, indicating the interconnectedness of the household staff during the festivities.""The Baker is related to the Housemaid and present during the celebrations, adding to the communal aspect of the event.""The Baker is related to the Housemaid and present during the celebrations, adding to the communal aspect of the event.""The Baker is related to the Housemaid and present during the celebrations, adding to the communal aspect of the event."', 'source_id': 'chunk-8bc1edd983869352d14cf0886a9175a7'} +2024-10-30 05:52:54,313 - lightrag - INFO - get_node:query:MATCH (n:`THE BOY FROM OVER THE WAY`) RETURN n:result: +2024-10-30 05:52:54,449 - lightrag - INFO - _do_upsert:query: + MERGE (n:`THE BOY FROM OVER THE WAY`) + SET n += $properties + RETURN n + :result:{'entity_type': '"PERSON"', 'description': '"The Boy from Over the Way is a humorous character trying to hide behind another participant, showcasing the inclusiveness of the celebrations."', 'source_id': 'chunk-8bc1edd983869352d14cf0886a9175a7'} +2024-10-30 05:52:54,579 - lightrag - INFO - get_node:query:MATCH (n:`THE GIRL FROM NEXT DOOR`) RETURN n:result: +2024-10-30 05:52:54,712 - lightrag - INFO - _do_upsert:query: + MERGE (n:`THE GIRL FROM NEXT DOOR`) + SET n += $properties + RETURN n + :result:{'entity_type': '"PERSON"', 'description': '"The Girl from Next Door is referenced as hiding from the Boy, illustrating the interactions during the event."', 'source_id': 'chunk-8bc1edd983869352d14cf0886a9175a7'} +2024-10-30 05:52:54,845 - lightrag - INFO - get_node:query:MATCH (n:`DICK`) RETURN n:result:"Dick is associated with Scrooge\'s former self, evoking nostalgic memories as Scrooge witnesses the past.""Dick is associated with Scrooge\'s former self, evoking nostalgic memories as Scrooge witnesses the past."', 'source_id': 'chunk-b2f98bc7abb0c67d4c86055c7fd72218'}> +2024-10-30 05:52:54,986 - lightrag - INFO - _do_upsert:query: + MERGE (n:`DICK`) + SET n += $properties + RETURN n + :result:{'entity_type': '"PERSON"', 'description': '"Dick is a character from Scrooge\'s past, reminisced about during the scene, representing the camaraderie shared during the ball.""Dick is associated with Scrooge\'s former self, evoking nostalgic memories as Scrooge witnesses the past.""Dick is associated with Scrooge\'s former self, evoking nostalgic memories as Scrooge witnesses the past.""Dick is associated with Scrooge\'s former self, evoking nostalgic memories as Scrooge witnesses the past."', 'source_id': 'chunk-b2f98bc7abb0c67d4c86055c7fd72218'} +2024-10-30 05:52:55,115 - lightrag - INFO - get_node:query:MATCH (n:`THE GHOST OF CHRISTMAS PAST`) RETURN n:result:"The Ghost of Christmas Past is a supernatural entity that allows Scrooge to revisit and reflect on his previous life experiences.""The Ghost of Christmas Past is a supernatural entity that shows Scrooge moments from his past, eliciting reflection and emotion.""The Ghost of Christmas Past represents Scrooge\'s history and helps him confront his former self and decisions made in life.""The Ghost of Christmas Past represents Scrooge\'s history and helps him confront his former self and decisions made in life."', 'source_id': 'chunk-90b95db5c53e4364a6bee36b7aa4d70fchunk-b2f98bc7abb0c67d4c86055c7fd72218'}> +2024-10-30 05:52:55,250 - lightrag - INFO - _do_upsert:query: + MERGE (n:`THE GHOST OF CHRISTMAS PAST`) + SET n += $properties + RETURN n + :result:{'entity_type': '"EVENT"', 'description': '"The Ghost of Christmas Past is a supernatural entity that allows Scrooge to revisit and reflect on his previous life experiences.""The Ghost of Christmas Past is a supernatural entity that allows Scrooge to revisit and reflect on his previous life experiences.""The Ghost of Christmas Past is a supernatural entity that allows Scrooge to revisit and reflect on his previous life experiences.""The Ghost of Christmas Past is a supernatural entity that shows Scrooge moments from his past, eliciting reflection and emotion.""The Ghost of Christmas Past represents Scrooge\'s history and helps him confront his former self and decisions made in life.""The Ghost of Christmas Past represents Scrooge\'s history and helps him confront his former self and decisions made in life.""The Ghost of Christmas Past represents Scrooge\'s history and helps him confront his former self and decisions made in life."', 'source_id': 'chunk-90b95db5c53e4364a6bee36b7aa4d70fchunk-b2f98bc7abb0c67d4c86055c7fd72218'} +2024-10-30 05:52:55,378 - lightrag - INFO - get_node:query:MATCH (n:`THE DOMESTIC BALL`) RETURN n:result:"The Domestic Ball represents a joyful gathering, fostering a sense of community and happiness among the participants.""The Domestic Ball represents a joyful gathering, fostering a sense of community and happiness among the participants."', 'source_id': 'chunk-b2f98bc7abb0c67d4c86055c7fd72218'}> +2024-10-30 05:52:55,510 - lightrag - INFO - _do_upsert:query: + MERGE (n:`THE DOMESTIC BALL`) + SET n += $properties + RETURN n + :result:{'entity_type': '"EVENT"', 'description': '"The Domestic Ball is a joyful celebration organized by Fezziwig, where guests enjoy dancing and merry exchanges.""The Domestic Ball represents a joyful gathering, fostering a sense of community and happiness among the participants.""The Domestic Ball represents a joyful gathering, fostering a sense of community and happiness among the participants.""The Domestic Ball represents a joyful gathering, fostering a sense of community and happiness among the participants."', 'source_id': 'chunk-b2f98bc7abb0c67d4c86055c7fd72218'} +2024-10-30 05:52:55,646 - lightrag - INFO - get_node:query:MATCH (n:`THE TWO APPRENTICES`) RETURN n:result:"The Two Apprentices are characters present at the Domestic Ball, who express gratitude and admiration for Fezziwig after the event.""The Two Apprentices are characters present at the Domestic Ball, who express gratitude and admiration for Fezziwig after the event."', 'source_id': 'chunk-b2f98bc7abb0c67d4c86055c7fd72218'}> +2024-10-30 05:52:55,779 - lightrag - INFO - _do_upsert:query: + MERGE (n:`THE TWO APPRENTICES`) + SET n += $properties + RETURN n + :result:{'entity_type': '"PERSON"', 'description': '"The Two Apprentices are characters from Fezziwig\'s establishment who express gratitude and admiration for Fezziwig\'s positive influence during the Domestic Ball.""The Two Apprentices are characters present at the Domestic Ball, who express gratitude and admiration for Fezziwig after the event.""The Two Apprentices are characters present at the Domestic Ball, who express gratitude and admiration for Fezziwig after the event.""The Two Apprentices are characters present at the Domestic Ball, who express gratitude and admiration for Fezziwig after the event."', 'source_id': 'chunk-b2f98bc7abb0c67d4c86055c7fd72218'} +2024-10-30 05:52:55,908 - lightrag - INFO - get_node:query:MATCH (n:`THE GOLDEN IDOL`) RETURN n:result: +2024-10-30 05:52:56,043 - lightrag - INFO - _do_upsert:query: + MERGE (n:`THE GOLDEN IDOL`) + SET n += $properties + RETURN n + :result:{'entity_type': '"CONCEPT"', 'description': '"The Golden Idol symbolizes materialism and the pursuit of wealth, indicating a shift in Scrooge\'s values over time."', 'source_id': 'chunk-b2f98bc7abb0c67d4c86055c7fd72218'} +2024-10-30 05:52:56,170 - lightrag - INFO - get_node:query:MATCH (n:`THE PRIME OF LIFE`) RETURN n:result: +2024-10-30 05:52:56,301 - lightrag - INFO - _do_upsert:query: + MERGE (n:`THE PRIME OF LIFE`) + SET n += $properties + RETURN n + :result:{'entity_type': '"EVENT"', 'description': '"The Prime of Life refers to a phase in Scrooge\'s youth when he was more carefree before becoming hardened by greed."', 'source_id': 'chunk-b2f98bc7abb0c67d4c86055c7fd72218'} +2024-10-30 05:52:56,431 - lightrag - INFO - get_node:query:MATCH (n:`THE MOURNING DRESS`) RETURN n:result: +2024-10-30 05:52:56,565 - lightrag - INFO - _do_upsert:query: + MERGE (n:`THE MOURNING DRESS`) + SET n += $properties + RETURN n + :result:{'entity_type': '"CONCEPT"', 'description': '"The Mourning Dress symbolizes loss and separation, highlighting the emotional distance between Scrooge and his former love."', 'source_id': 'chunk-b2f98bc7abb0c67d4c86055c7fd72218'} +2024-10-30 05:52:56,695 - lightrag - INFO - get_node:query:MATCH (n:`THE BEAUTIFUL YOUNG GIRL`) RETURN n:result: +2024-10-30 05:52:56,836 - lightrag - INFO - _do_upsert:query: + MERGE (n:`THE BEAUTIFUL YOUNG GIRL`) + SET n += $properties + RETURN n + :result:{'entity_type': '"PERSON"', 'description': '"The Beautiful Young Girl is a figure from Scrooge\'s past, representing lost opportunities and innocence."', 'source_id': 'chunk-54bdd22db1f84a965b5f4c06c9216d8d'} +2024-10-30 05:52:56,966 - lightrag - INFO - get_node:query:MATCH (n:`THE COMELY MATRON`) RETURN n:result: +2024-10-30 05:52:57,095 - lightrag - INFO - _do_upsert:query: + MERGE (n:`THE COMELY MATRON`) + SET n += $properties + RETURN n + :result:{'entity_type': '"PERSON"', 'description': '"The Comely Matron is the grown-up version of the Beautiful Young Girl, emphasizing change and the passage of time."', 'source_id': 'chunk-54bdd22db1f84a965b5f4c06c9216d8d'} +2024-10-30 05:52:57,220 - lightrag - INFO - get_node:query:MATCH (n:`CHRISTMAS TOYS AND PRESENTS`) RETURN n:result:"Christmas Toys and Presents are associated with familial love and joy, as they arrive with the father, enhancing the holiday spirit.""Christmas Toys and Presents are associated with joy and celebration, marking the festive occasion and the love shared among family.""Christmas Toys and Presents signify the spirit of giving and the excitement that surrounds the holiday season, especially for children.""Christmas Toys and Presents signify the spirit of giving and the excitement that surrounds the holiday season, especially for children."', 'source_id': 'chunk-da2472b4ef2a535b62908f14d0fb0ca9chunk-54bdd22db1f84a965b5f4c06c9216d8d'}> +2024-10-30 05:52:57,348 - lightrag - INFO - _do_upsert:query: + MERGE (n:`CHRISTMAS TOYS AND PRESENTS`) + SET n += $properties + RETURN n + :result:{'entity_type': '"EVENT"', 'description': '"Christmas Toys and Presents are associated with familial love and joy, as they arrive with the father, enhancing the holiday spirit.""Christmas Toys and Presents are associated with familial love and joy, as they arrive with the father, enhancing the holiday spirit.""Christmas Toys and Presents are associated with familial love and joy, as they arrive with the father, enhancing the holiday spirit.""Christmas Toys and Presents are associated with joy and celebration, marking the festive occasion and the love shared among family.""Christmas Toys and Presents signify the spirit of giving and the excitement that surrounds the holiday season, especially for children.""Christmas Toys and Presents signify the spirit of giving and the excitement that surrounds the holiday season, especially for children.""Christmas Toys and Presents signify the spirit of giving and the excitement that surrounds the holiday season, especially for children."', 'source_id': 'chunk-54bdd22db1f84a965b5f4c06c9216d8dchunk-da2472b4ef2a535b62908f14d0fb0ca9'} +2024-10-30 05:52:57,485 - lightrag - INFO - get_node:query:MATCH (n:`THE ROOM`) RETURN n:result: +2024-10-30 05:52:57,623 - lightrag - INFO - _do_upsert:query: + MERGE (n:`THE ROOM`) + SET n += $properties + RETURN n + :result:{'entity_type': '"GEO"', 'description': '"The Room is described as a cozy, comfortable setting where the comely matron and her children interact during festive times."', 'source_id': 'chunk-54bdd22db1f84a965b5f4c06c9216d8d'} +2024-10-30 05:52:57,750 - lightrag - INFO - get_node:query:MATCH (n:`THE WINTER FIRE`) RETURN n:result: +2024-10-30 05:52:57,884 - lightrag - INFO - _do_upsert:query: + MERGE (n:`THE WINTER FIRE`) + SET n += $properties + RETURN n + :result:{'entity_type': '"EVENT"', 'description': '"The Winter Fire represents warmth and comfort in the room where the matron and children gather, enhancing the festive atmosphere."', 'source_id': 'chunk-54bdd22db1f84a965b5f4c06c9216d8d'} +2024-10-30 05:52:58,014 - lightrag - INFO - get_node:query:MATCH (n:`THE FATHER`) RETURN n:result:"The Father is a character who returns home and is greeted with excitement, embodying family warmth and joy during Christmas celebrations.""The Father is a character who returns home with presents, symbolizing the joy of family and the spirit of giving during Christmas.""The Father is a character who returns home and is greeted with excitement, embodying family warmth and joy during Christmas celebrations.""The Father is a character who returns home with presents, symbolizing the joy of family and the spirit of giving during Christmas."', 'source_id': 'chunk-da2472b4ef2a535b62908f14d0fb0ca9chunk-54bdd22db1f84a965b5f4c06c9216d8d'}> +2024-10-30 05:52:58,147 - lightrag - INFO - _do_upsert:query: + MERGE (n:`THE FATHER`) + SET n += $properties + RETURN n + :result:{'entity_type': '"PERSON"', 'description': '"The Father is a character who arrives home with Christmas presents, symbolizing familial joy and festive spirit.""The Father is a character who returns home and is greeted with excitement, embodying family warmth and joy during Christmas celebrations.""The Father is a character who returns home with presents, symbolizing the joy of family and the spirit of giving during Christmas.""The Father is a character who returns home and is greeted with excitement, embodying family warmth and joy during Christmas celebrations.""The Father is a character who returns home with presents, symbolizing the joy of family and the spirit of giving during Christmas.""The Father is a character who returns home and is greeted with excitement, embodying family warmth and joy during Christmas celebrations.""The Father is a character who returns home with presents, symbolizing the joy of family and the spirit of giving during Christmas."', 'source_id': 'chunk-54bdd22db1f84a965b5f4c06c9216d8dchunk-da2472b4ef2a535b62908f14d0fb0ca9'} +2024-10-30 05:52:58,274 - lightrag - INFO - get_node:query:MATCH (n:`THE YOUNG BRIGANDS`) RETURN n:result: +2024-10-30 05:52:58,403 - lightrag - INFO - _do_upsert:query: + MERGE (n:`THE YOUNG BRIGANDS`) + SET n += $properties + RETURN n + :result:{'entity_type': '"PERSON"', 'description': '"The Young Brigands are a playful group of children engaged in merriment and mischief during the festive celebration."', 'source_id': 'chunk-54bdd22db1f84a965b5f4c06c9216d8d'} +2024-10-30 05:52:58,531 - lightrag - INFO - get_node:query:MATCH (n:`THE DOWERLESS GIRL`) RETURN n:result: +2024-10-30 05:52:58,663 - lightrag - INFO - _do_upsert:query: + MERGE (n:`THE DOWERLESS GIRL`) + SET n += $properties + RETURN n + :result:{'entity_type': '"PERSON"', 'description': '"The Dowerless Girl is a symbolic representation of the limitations in relationships based on social and economic status as reflected in Scrooge\'s dialogue."', 'source_id': 'chunk-54bdd22db1f84a965b5f4c06c9216d8d'} +2024-10-30 05:52:58,791 - lightrag - INFO - get_node:query:MATCH (n:`THE MEMORY`) RETURN n:result: +2024-10-30 05:52:58,923 - lightrag - INFO - _do_upsert:query: + MERGE (n:`THE MEMORY`) + SET n += $properties + RETURN n + :result:{'entity_type': '"CONCEPT"', 'description': '"The Memory refers to the recollections of past relationships and feelings that haunt Scrooge as he contemplates his choices."', 'source_id': 'chunk-54bdd22db1f84a965b5f4c06c9216d8d'} +2024-10-30 05:52:59,055 - lightrag - INFO - get_node:query:MATCH (n:`HAPPINESS`) RETURN n:result: +2024-10-30 05:52:59,188 - lightrag - INFO - _do_upsert:query: + MERGE (n:`HAPPINESS`) + SET n += $properties + RETURN n + :result:{'entity_type': '"CONCEPT"', 'description': '"Happiness signifies the conflicting emotions Scrooge feels regarding past love and the reality of his current life choices."', 'source_id': 'chunk-54bdd22db1f84a965b5f4c06c9216d8d'} +2024-10-30 05:52:59,317 - lightrag - INFO - get_node:query:MATCH (n:`HOPE`) RETURN n:result:"Hope emerges as a central theme in the characters\' lives, particularly through Caroline\'s reaction to news about the husband and the family\'s future.""Hope represents the aspirations and dreams that characters have, particularly in the context of the matron\'s optimistic nature.""Hope represents the aspirations and dreams that characters have, particularly in the context of the matron\'s optimistic nature."', 'source_id': 'chunk-54bdd22db1f84a965b5f4c06c9216d8dchunk-83ac129dc9b56f84c46760d153d68e93'}> +2024-10-30 05:52:59,454 - lightrag - INFO - _do_upsert:query: + MERGE (n:`HOPE`) + SET n += $properties + RETURN n + :result:{'entity_type': '"CONCEPT"', 'description': '"Hope emerges as a central theme in the characters\' lives, particularly through Caroline\'s reaction to news about the husband and the family\'s future.""Hope emerges as a central theme in the characters\' lives, particularly through Caroline\'s reaction to news about the husband and the family\'s future.""Hope emerges as a central theme in the characters\' lives, particularly through Caroline\'s reaction to news about the husband and the family\'s future.""Hope represents the aspirations and dreams that characters have, particularly in the context of the matron\'s optimistic nature.""Hope represents the aspirations and dreams that characters have, particularly in the context of the matron\'s optimistic nature.""Hope represents the aspirations and dreams that characters have, particularly in the context of the matron\'s optimistic nature."', 'source_id': 'chunk-54bdd22db1f84a965b5f4c06c9216d8dchunk-83ac129dc9b56f84c46760d153d68e93'} +2024-10-30 05:52:59,584 - lightrag - INFO - get_node:query:MATCH (n:`BELLE`) RETURN n:result:"Belle is Scrooge\'s former love, evidence of care and affection, now mentioned in the context of Scrooge’s memories.""Belle is Scrooge\'s former love, evidence of care and affection, now mentioned in the context of Scrooge’s memories."', 'source_id': 'chunk-da2472b4ef2a535b62908f14d0fb0ca9'}> +2024-10-30 05:52:59,717 - lightrag - INFO - _do_upsert:query: + MERGE (n:`BELLE`) + SET n += $properties + RETURN n + :result:{'entity_type': '"PERSON"', 'description': '"Belle is Scrooge\'s former love whose presence evokes strong feelings of longing and sorrow in Scrooge.""Belle is Scrooge\'s former love, evidence of care and affection, now mentioned in the context of Scrooge’s memories.""Belle is Scrooge\'s former love, evidence of care and affection, now mentioned in the context of Scrooge’s memories.""Belle is Scrooge\'s former love, evidence of care and affection, now mentioned in the context of Scrooge’s memories."', 'source_id': 'chunk-da2472b4ef2a535b62908f14d0fb0ca9'} +2024-10-30 05:52:59,847 - lightrag - INFO - get_node:query:MATCH (n:`THE OFFICE`) RETURN n:result:"The Office is Scrooge\'s workplace, signifying his past life and the memories associated with his business dealings.""The Office refers to Scrooge\'s workplace, emphasizing his isolation and the business-focused nature of his life.""The Office refers to the workplace where Scrooge and Bob Cratchit interact, highlighting the power dynamics and work-related tension.""The Office refers to Scrooge\'s workplace, emphasizing his isolation and the business-focused nature of his life.""The Office refers to the workplace where Scrooge and Bob Cratchit interact, highlighting the power dynamics and work-related tension."', 'source_id': 'chunk-da2472b4ef2a535b62908f14d0fb0ca9chunk-94bea83e7153fc2064aa382b494936a1chunk-91572b3cd42786ba4cb2f180ca25cbf4'}> +2024-10-30 05:52:59,984 - lightrag - INFO - _do_upsert:query: + MERGE (n:`THE OFFICE`) + SET n += $properties + RETURN n + :result:{'entity_type': '"ORGANIZATION"', 'description': '"The Office is Scrooge\'s workplace, signifying his past life and the memories associated with his business dealings.""The Office is Scrooge\'s workplace, signifying his past life and the memories associated with his business dealings.""The Office is Scrooge\'s workplace, signifying his past life and the memories associated with his business dealings.""The Office refers to Scrooge\'s workplace, emphasizing his isolation and the business-focused nature of his life.""The Office refers to the workplace where Scrooge and Bob Cratchit interact, highlighting the power dynamics and work-related tension.""The Office refers to Scrooge\'s workplace, emphasizing his isolation and the business-focused nature of his life.""The Office refers to the workplace where Scrooge and Bob Cratchit interact, highlighting the power dynamics and work-related tension.""The Office refers to Scrooge\'s workplace, emphasizing his isolation and the business-focused nature of his life.""The Office refers to the workplace where Scrooge and Bob Cratchit interact, highlighting the power dynamics and work-related tension."', 'source_id': 'chunk-94bea83e7153fc2064aa382b494936a1chunk-91572b3cd42786ba4cb2f180ca25cbf4chunk-da2472b4ef2a535b62908f14d0fb0ca9'} +2024-10-30 05:53:00,114 - lightrag - INFO - get_node:query:MATCH (n:`THE PORTER`) RETURN n:result:"The Porter is depicted as a defenseless character being playfully assaulted by the children during their festive excitement.""The Porter is depicted as a defenseless character being playfully assaulted by the children during their festive excitement."', 'source_id': 'chunk-da2472b4ef2a535b62908f14d0fb0ca9'}> +2024-10-30 05:53:00,243 - lightrag - INFO - _do_upsert:query: + MERGE (n:`THE PORTER`) + SET n += $properties + RETURN n + :result:{'entity_type': '"PERSON"', 'description': '"The Porter is a character who becomes the target of playful affection from the children, showcasing innocence and chaos during celebrations.""The Porter is depicted as a defenseless character being playfully assaulted by the children during their festive excitement.""The Porter is depicted as a defenseless character being playfully assaulted by the children during their festive excitement.""The Porter is depicted as a defenseless character being playfully assaulted by the children during their festive excitement."', 'source_id': 'chunk-da2472b4ef2a535b62908f14d0fb0ca9'} +2024-10-30 05:53:00,373 - lightrag - INFO - get_node:query:MATCH (n:`THE BABY`) RETURN n:result: +2024-10-30 05:53:00,507 - lightrag - INFO - _do_upsert:query: + MERGE (n:`THE BABY`) + SET n += $properties + RETURN n + :result:{'entity_type': '"PERSON"', 'description': '"The Baby is involved in a comical mishap concerning a doll\'s frying pan, symbolizing the innocence and curiosity of childhood."', 'source_id': 'chunk-da2472b4ef2a535b62908f14d0fb0ca9'} +2024-10-30 05:53:00,636 - lightrag - INFO - get_node:query:MATCH (n:`THE MOTHER`) RETURN n:result:"The Mother is a character associated with the family dynamics during the Christmas scene, though her actions are not explicitly detailed.""The Mother is depicted as a comely matron, who enjoys the laughter and chaos with her children, showing warmth and family value.""The Mother is a character who exhibits anxiety and hope as she awaits her husband\'s return, embodying the emotional depth of family relations during hardship.""The Mother is a character who shares a tender moment with her husband and daughter, representing familial love and connection.""The Mother is a character who exhibits anxiety and hope as she awaits her husband\'s return, embodying the emotional depth of family relations during hardship.""The Mother is a character who shares a tender moment with her husband and daughter, representing familial love and connection."', 'source_id': 'chunk-da2472b4ef2a535b62908f14d0fb0ca9chunk-54bdd22db1f84a965b5f4c06c9216d8dchunk-83ac129dc9b56f84c46760d153d68e93'}> +2024-10-30 05:53:00,770 - lightrag - INFO - _do_upsert:query: + MERGE (n:`THE MOTHER`) + SET n += $properties + RETURN n + :result:{'entity_type': '"PERSON"', 'description': '"The Mother exemplifies apprehension and hope regarding her husband\'s return, depicting the emotional burden of waiting and uncertainty.""The Mother is a character associated with the family dynamics during the Christmas scene, though her actions are not explicitly detailed.""The Mother is depicted as a comely matron, who enjoys the laughter and chaos with her children, showing warmth and family value.""The Mother is a character who exhibits anxiety and hope as she awaits her husband\'s return, embodying the emotional depth of family relations during hardship.""The Mother is a character who shares a tender moment with her husband and daughter, representing familial love and connection.""The Mother is a character who exhibits anxiety and hope as she awaits her husband\'s return, embodying the emotional depth of family relations during hardship.""The Mother is a character who shares a tender moment with her husband and daughter, representing familial love and connection.""The Mother is a character who exhibits anxiety and hope as she awaits her husband\'s return, embodying the emotional depth of family relations during hardship.""The Mother is a character who shares a tender moment with her husband and daughter, representing familial love and connection."', 'source_id': 'chunk-54bdd22db1f84a965b5f4c06c9216d8dchunk-da2472b4ef2a535b62908f14d0fb0ca9chunk-83ac129dc9b56f84c46760d153d68e93'} +2024-10-30 05:53:00,900 - lightrag - INFO - get_node:query:MATCH (n:`CITY`) RETURN n:result:"The City represents the urban setting where Scrooge witnesses the indifference of its inhabitants regarding his death.""The City represents the urban setting where Scrooge\'s transformation takes place, symbolizing the broader society impacted by his changes.""The City serves as a backdrop where various scenes unfold, representing the hustle of life and economic concerns.""The City symbolizes the urban setting where Scrooge\'s transformation takes place, primarily depicting the contrast between Scrooge\'s isolation and the outer world filled with festivities.""The City serves as a backdrop where various scenes unfold, representing the hustle of life and economic concerns.""The City symbolizes the urban setting where Scrooge\'s transformation takes place, primarily depicting the contrast between Scrooge\'s isolation and the outer world filled with festivities."', 'source_id': 'chunk-843b5b2f944c7413d9ca876e2e2f151fchunk-94bea83e7153fc2064aa382b494936a1chunk-02baee20cc9463dbe08170a8e1043e32'}> +2024-10-30 05:53:01,037 - lightrag - INFO - _do_upsert:query: + MERGE (n:`CITY`) + SET n += $properties + RETURN n + :result:{'entity_type': '"GEO"', 'description': '"The City refers to a generic location embodying the community and societal norms, with which Scrooge has a complex relationship.""The City represents the urban setting where Scrooge witnesses the indifference of its inhabitants regarding his death.""The City represents the urban setting where Scrooge\'s transformation takes place, symbolizing the broader society impacted by his changes.""The City serves as a backdrop where various scenes unfold, representing the hustle of life and economic concerns.""The City symbolizes the urban setting where Scrooge\'s transformation takes place, primarily depicting the contrast between Scrooge\'s isolation and the outer world filled with festivities.""The City serves as a backdrop where various scenes unfold, representing the hustle of life and economic concerns.""The City symbolizes the urban setting where Scrooge\'s transformation takes place, primarily depicting the contrast between Scrooge\'s isolation and the outer world filled with festivities.""The City serves as a backdrop where various scenes unfold, representing the hustle of life and economic concerns.""The City symbolizes the urban setting where Scrooge\'s transformation takes place, primarily depicting the contrast between Scrooge\'s isolation and the outer world filled with festivities."', 'source_id': 'chunk-94bea83e7153fc2064aa382b494936a1chunk-02baee20cc9463dbe08170a8e1043e32chunk-843b5b2f944c7413d9ca876e2e2f151f'} +2024-10-30 05:53:01,168 - lightrag - INFO - get_node:query:MATCH (n:`SPIRIT`) RETURN n:result:"The Spirit embodies the lessons of compassion and social responsibility, guiding Scrooge through his reflections and realizations.""The Spirit is the manifestation of Scrooge\'s past that guides him through his memories, representing his former self and the influence of time.""The Spirit represents a ghostly entity, guiding Scrooge through visions of potential future events and urging him to acknowledge societal issues.""The Spirit represents a supernatural entity guiding Scrooge through his reflections on life, death, and human emotions, prompting self-awareness.""The Spirit represents the embodiment of the Christmas present, personifying the themes of generosity and merriment.""The Spirit refers to the Ghost of Christmas Present, which embodies the essence of the Christmas season and serves as a guide for Scrooge.""The Spirit represents a ghostly figure guiding Scrooge through reflections related to a death, illustrating lessons about life and mortality.""The Spirit represents a supernatural being guiding Scrooge through lessons about the consequences of his actions and the future.""The Spirit represents a supernatural entity guiding Scrooge and teaching him lessons about compassion and humanity.""The Spirit refers to the Ghost of Christmas Present, which embodies the essence of the Christmas season and serves as a guide for Scrooge.""The Spirit represents a ghostly figure guiding Scrooge through reflections related to a death, illustrating lessons about life and mortality.""The Spirit represents a supernatural being guiding Scrooge through lessons about the consequences of his actions and the future.""The Spirit represents a supernatural entity guiding Scrooge and teaching him lessons about compassion and humanity."', 'source_id': 'chunk-843b5b2f944c7413d9ca876e2e2f151fchunk-e7637ff18c5ded77a68cce0a87883fadchunk-83ac129dc9b56f84c46760d153d68e93chunk-1aa50206d02ed89418f65f97c6441d1cchunk-bb21d58d36c6306fd8810ddd51c4a971chunk-02baee20cc9463dbe08170a8e1043e32'}> +2024-10-30 05:53:01,301 - lightrag - INFO - _do_upsert:query: + MERGE (n:`SPIRIT`) + SET n += $properties + RETURN n + :result:{'entity_type': '"EVENT"', 'description': '"Spirit represents the essence of Marley that is attempting to interact with Scrooge, indicating themes of afterlife and unresolved issues.""The Spirit embodies the lessons of compassion and social responsibility, guiding Scrooge through his reflections and realizations.""The Spirit is the manifestation of Scrooge\'s past that guides him through his memories, representing his former self and the influence of time.""The Spirit represents a ghostly entity, guiding Scrooge through visions of potential future events and urging him to acknowledge societal issues.""The Spirit represents a supernatural entity guiding Scrooge through his reflections on life, death, and human emotions, prompting self-awareness.""The Spirit represents the embodiment of the Christmas present, personifying the themes of generosity and merriment.""The Spirit refers to the Ghost of Christmas Present, which embodies the essence of the Christmas season and serves as a guide for Scrooge.""The Spirit represents a ghostly figure guiding Scrooge through reflections related to a death, illustrating lessons about life and mortality.""The Spirit represents a supernatural being guiding Scrooge through lessons about the consequences of his actions and the future.""The Spirit represents a supernatural entity guiding Scrooge and teaching him lessons about compassion and humanity.""The Spirit refers to the Ghost of Christmas Present, which embodies the essence of the Christmas season and serves as a guide for Scrooge.""The Spirit represents a ghostly figure guiding Scrooge through reflections related to a death, illustrating lessons about life and mortality.""The Spirit represents a supernatural being guiding Scrooge through lessons about the consequences of his actions and the future.""The Spirit represents a supernatural entity guiding Scrooge and teaching him lessons about compassion and humanity.""The Spirit refers to the Ghost of Christmas Present, which embodies the essence of the Christmas season and serves as a guide for Scrooge.""The Spirit represents a ghostly figure guiding Scrooge through reflections related to a death, illustrating lessons about life and mortality.""The Spirit represents a supernatural being guiding Scrooge through lessons about the consequences of his actions and the future.""The Spirit represents a supernatural entity guiding Scrooge and teaching him lessons about compassion and humanity."', 'source_id': 'chunk-02baee20cc9463dbe08170a8e1043e32chunk-bb21d58d36c6306fd8810ddd51c4a971chunk-e7637ff18c5ded77a68cce0a87883fadchunk-83ac129dc9b56f84c46760d153d68e93chunk-843b5b2f944c7413d9ca876e2e2f151fchunk-1aa50206d02ed89418f65f97c6441d1c'} +2024-10-30 05:53:01,431 - lightrag - INFO - get_node:query:MATCH (n:`MISTLETOE`) RETURN n:result:"Mistletoe is a plant used as a Christmas decoration, symbolizing love and goodwill during the holiday season.""Mistletoe is a traditional plant used for decoration during Christmas, symbolizing joy and a festive spirit.""Mistletoe is described in the context of Christmas decorations, often used for kissing and holiday celebrations.""Mistletoe is described in the context of Christmas decorations, often used for kissing and holiday celebrations."', 'source_id': 'chunk-843b5b2f944c7413d9ca876e2e2f151fchunk-99b0ec7f7e006561352b5d65e849611d'}> +2024-10-30 05:53:01,566 - lightrag - INFO - _do_upsert:query: + MERGE (n:`MISTLETOE`) + SET n += $properties + RETURN n + :result:{'entity_type': '"ORGANIZATION"', 'description': '"Mistletoe is a plant used as a Christmas decoration, symbolizing love and goodwill during the holiday season.""Mistletoe is a plant used as a Christmas decoration, symbolizing love and goodwill during the holiday season.""Mistletoe is a plant used as a Christmas decoration, symbolizing love and goodwill during the holiday season.""Mistletoe is a traditional plant used for decoration during Christmas, symbolizing joy and a festive spirit.""Mistletoe is described in the context of Christmas decorations, often used for kissing and holiday celebrations.""Mistletoe is described in the context of Christmas decorations, often used for kissing and holiday celebrations.""Mistletoe is described in the context of Christmas decorations, often used for kissing and holiday celebrations."', 'source_id': 'chunk-99b0ec7f7e006561352b5d65e849611dchunk-843b5b2f944c7413d9ca876e2e2f151f'} +2024-10-30 05:53:01,694 - lightrag - INFO - get_node:query:MATCH (n:`RED BERRIES`) RETURN n:result:"Red Berries are decorative elements commonly used during Christmas decorations, adding color and festivity.""Red Berries are festive decorations representing the colors of Christmas, enhancing the holiday atmosphere.""Red Berries are festive decorations representing the colors of Christmas, enhancing the holiday atmosphere."', 'source_id': 'chunk-843b5b2f944c7413d9ca876e2e2f151fchunk-99b0ec7f7e006561352b5d65e849611d'}> +2024-10-30 05:53:01,829 - lightrag - INFO - _do_upsert:query: + MERGE (n:`RED BERRIES`) + SET n += $properties + RETURN n + :result:{'entity_type': '"ORGANIZATION"', 'description': '"Red Berries are decorative elements commonly used during Christmas decorations, adding color and festivity.""Red Berries are decorative elements commonly used during Christmas decorations, adding color and festivity.""Red Berries are decorative elements commonly used during Christmas decorations, adding color and festivity.""Red Berries are festive decorations representing the colors of Christmas, enhancing the holiday atmosphere.""Red Berries are festive decorations representing the colors of Christmas, enhancing the holiday atmosphere.""Red Berries are festive decorations representing the colors of Christmas, enhancing the holiday atmosphere."', 'source_id': 'chunk-99b0ec7f7e006561352b5d65e849611dchunk-843b5b2f944c7413d9ca876e2e2f151f'} +2024-10-30 05:53:01,960 - lightrag - INFO - get_node:query:MATCH (n:`TURKEYS`) RETURN n:result:"Turkeys represent a common food item associated with the Christmas feast, highlighting the culinary aspects of the celebration.""Turkeys are food items prominently featured in Christmas meals, representing a festive celebration of the holiday.""Turkeys are part of the Christmas feast, symbolizing the abundance and sharing associated with the holiday.""Turkeys are food items prominently featured in Christmas meals, representing a festive celebration of the holiday.""Turkeys are part of the Christmas feast, symbolizing the abundance and sharing associated with the holiday."', 'source_id': 'chunk-843b5b2f944c7413d9ca876e2e2f151fchunk-99b0ec7f7e006561352b5d65e849611d'}> +2024-10-30 05:53:02,095 - lightrag - INFO - _do_upsert:query: + MERGE (n:`TURKEYS`) + SET n += $properties + RETURN n + :result:{'entity_type': '"ORGANIZATION"', 'description': '"Turkeys are described as part of a lavish spread that symbolizes the abundance and joy of the Christmas season.""Turkeys represent a common food item associated with the Christmas feast, highlighting the culinary aspects of the celebration.""Turkeys are food items prominently featured in Christmas meals, representing a festive celebration of the holiday.""Turkeys are part of the Christmas feast, symbolizing the abundance and sharing associated with the holiday.""Turkeys are food items prominently featured in Christmas meals, representing a festive celebration of the holiday.""Turkeys are part of the Christmas feast, symbolizing the abundance and sharing associated with the holiday.""Turkeys are food items prominently featured in Christmas meals, representing a festive celebration of the holiday.""Turkeys are part of the Christmas feast, symbolizing the abundance and sharing associated with the holiday."', 'source_id': 'chunk-99b0ec7f7e006561352b5d65e849611dchunk-843b5b2f944c7413d9ca876e2e2f151f'} +2024-10-30 05:53:02,225 - lightrag - INFO - get_node:query:MATCH (n:`POULTRY`) RETURN n:result:"Poultry is another aspect of the Christmas feast, representing the various traditions of holiday meals.""Poultry refers to various birds used for Christmas meals, representing the culinary traditions of the holiday.""Poultry represents a variety of birds that are often prepared for Christmas dinners, enhancing the festive festivities.""Poultry represents a variety of birds that are often prepared for Christmas dinners, enhancing the festive festivities."', 'source_id': 'chunk-843b5b2f944c7413d9ca876e2e2f151fchunk-99b0ec7f7e006561352b5d65e849611d'}> +2024-10-30 05:53:02,358 - lightrag - INFO - _do_upsert:query: + MERGE (n:`POULTRY`) + SET n += $properties + RETURN n + :result:{'entity_type': '"ORGANIZATION"', 'description': '"Poultry is another aspect of the Christmas feast, representing the various traditions of holiday meals.""Poultry is another aspect of the Christmas feast, representing the various traditions of holiday meals.""Poultry is another aspect of the Christmas feast, representing the various traditions of holiday meals.""Poultry refers to various birds used for Christmas meals, representing the culinary traditions of the holiday.""Poultry represents a variety of birds that are often prepared for Christmas dinners, enhancing the festive festivities.""Poultry represents a variety of birds that are often prepared for Christmas dinners, enhancing the festive festivities.""Poultry represents a variety of birds that are often prepared for Christmas dinners, enhancing the festive festivities."', 'source_id': 'chunk-99b0ec7f7e006561352b5d65e849611dchunk-843b5b2f944c7413d9ca876e2e2f151f'} +2024-10-30 05:53:02,487 - lightrag - INFO - get_node:query:MATCH (n:`MEAT`) RETURN n:result:"Meat refers to a significant part of the Christmas feast, further emphasizing the theme of abundance during the holiday.""Meat serves as a general representation of the food consumed during Christmas celebrations, contributing to the holiday meals.""Meat serves as a general representation of the food consumed during Christmas celebrations, contributing to the holiday meals."', 'source_id': 'chunk-843b5b2f944c7413d9ca876e2e2f151fchunk-99b0ec7f7e006561352b5d65e849611d'}> +2024-10-30 05:53:02,620 - lightrag - INFO - _do_upsert:query: + MERGE (n:`MEAT`) + SET n += $properties + RETURN n + :result:{'entity_type': '"ORGANIZATION"', 'description': '"Meat refers to a significant part of the Christmas feast, further emphasizing the theme of abundance during the holiday.""Meat refers to a significant part of the Christmas feast, further emphasizing the theme of abundance during the holiday.""Meat refers to a significant part of the Christmas feast, further emphasizing the theme of abundance during the holiday.""Meat serves as a general representation of the food consumed during Christmas celebrations, contributing to the holiday meals.""Meat serves as a general representation of the food consumed during Christmas celebrations, contributing to the holiday meals.""Meat serves as a general representation of the food consumed during Christmas celebrations, contributing to the holiday meals."', 'source_id': 'chunk-99b0ec7f7e006561352b5d65e849611dchunk-843b5b2f944c7413d9ca876e2e2f151f'} +2024-10-30 05:53:02,752 - lightrag - INFO - get_node:query:MATCH (n:`SAUSAGES`) RETURN n:result:"Sausages are festive foods that complement the traditional Christmas meal, adding to the variety of the feast.""Sausages are food items mentioned that may be served during Christmas festivities, adding to the variety of traditional foods.""Sausages contribute to the rich variety of foods present at the celebration, reflecting festive abundance.""Sausages are food items mentioned that may be served during Christmas festivities, adding to the variety of traditional foods."', 'source_id': 'chunk-843b5b2f944c7413d9ca876e2e2f151fchunk-99b0ec7f7e006561352b5d65e849611d'}> +2024-10-30 05:53:02,887 - lightrag - INFO - _do_upsert:query: + MERGE (n:`SAUSAGES`) + SET n += $properties + RETURN n + :result:{'entity_type': '"ORGANIZATION"', 'description': '"Sausages are festive foods that complement the traditional Christmas meal, adding to the variety of the feast.""Sausages are festive foods that complement the traditional Christmas meal, adding to the variety of the feast.""Sausages are festive foods that complement the traditional Christmas meal, adding to the variety of the feast.""Sausages are food items mentioned that may be served during Christmas festivities, adding to the variety of traditional foods.""Sausages contribute to the rich variety of foods present at the celebration, reflecting festive abundance.""Sausages are food items mentioned that may be served during Christmas festivities, adding to the variety of traditional foods.""Sausages are food items mentioned that may be served during Christmas festivities, adding to the variety of traditional foods."', 'source_id': 'chunk-99b0ec7f7e006561352b5d65e849611dchunk-843b5b2f944c7413d9ca876e2e2f151f'} +2024-10-30 05:53:03,017 - lightrag - INFO - get_node:query:MATCH (n:`OYSTERS`) RETURN n:result:"Oysters are considered delicacies that can enhance special occasions such as Christmas, indicating celebratory dining.""Oysters represent a delicacy often served during Christmas, symbolizing luxury and celebration.""Oysters represent a delicacy often served during Christmas, symbolizing luxury and celebration."', 'source_id': 'chunk-843b5b2f944c7413d9ca876e2e2f151fchunk-99b0ec7f7e006561352b5d65e849611d'}> +2024-10-30 05:53:03,150 - lightrag - INFO - _do_upsert:query: + MERGE (n:`OYSTERS`) + SET n += $properties + RETURN n + :result:{'entity_type': '"ORGANIZATION"', 'description': '"Oysters are considered delicacies that can enhance special occasions such as Christmas, indicating celebratory dining.""Oysters are considered delicacies that can enhance special occasions such as Christmas, indicating celebratory dining.""Oysters are considered delicacies that can enhance special occasions such as Christmas, indicating celebratory dining.""Oysters represent a delicacy often served during Christmas, symbolizing luxury and celebration.""Oysters represent a delicacy often served during Christmas, symbolizing luxury and celebration.""Oysters represent a delicacy often served during Christmas, symbolizing luxury and celebration."', 'source_id': 'chunk-99b0ec7f7e006561352b5d65e849611dchunk-843b5b2f944c7413d9ca876e2e2f151f'} +2024-10-30 05:53:03,277 - lightrag - INFO - get_node:query:MATCH (n:`PIES`) RETURN n:result:"Pies are a traditional dessert during the Christmas season, embodying the spirit of sharing and celebration.""Pies, often sweet, are traditional desserts served during Christmas, symbolizing festive dessert offerings.""Pies, often sweet, are traditional desserts served during Christmas, symbolizing festive dessert offerings."', 'source_id': 'chunk-843b5b2f944c7413d9ca876e2e2f151fchunk-99b0ec7f7e006561352b5d65e849611d'}> +2024-10-30 05:53:03,408 - lightrag - INFO - _do_upsert:query: + MERGE (n:`PIES`) + SET n += $properties + RETURN n + :result:{'entity_type': '"ORGANIZATION"', 'description': '"Pies are a traditional dessert during the Christmas season, embodying the spirit of sharing and celebration.""Pies are a traditional dessert during the Christmas season, embodying the spirit of sharing and celebration.""Pies are a traditional dessert during the Christmas season, embodying the spirit of sharing and celebration.""Pies, often sweet, are traditional desserts served during Christmas, symbolizing festive dessert offerings.""Pies, often sweet, are traditional desserts served during Christmas, symbolizing festive dessert offerings.""Pies, often sweet, are traditional desserts served during Christmas, symbolizing festive dessert offerings."', 'source_id': 'chunk-99b0ec7f7e006561352b5d65e849611dchunk-843b5b2f944c7413d9ca876e2e2f151f'} +2024-10-30 05:53:03,538 - lightrag - INFO - get_node:query:MATCH (n:`PUDDINGS`) RETURN n:result:"Puddings are a classic Christmas dessert, symbolizing warmth and indulgence during the holiday.""Puddings are showcased as a traditional dessert during Christmas celebrations, central to holiday meals.""Puddings are showcased as a traditional dessert during Christmas celebrations, central to holiday meals."', 'source_id': 'chunk-843b5b2f944c7413d9ca876e2e2f151fchunk-99b0ec7f7e006561352b5d65e849611d'}> +2024-10-30 05:53:03,670 - lightrag - INFO - _do_upsert:query: + MERGE (n:`PUDDINGS`) + SET n += $properties + RETURN n + :result:{'entity_type': '"ORGANIZATION"', 'description': '"Puddings are a classic Christmas dessert, symbolizing warmth and indulgence during the holiday.""Puddings are a classic Christmas dessert, symbolizing warmth and indulgence during the holiday.""Puddings are a classic Christmas dessert, symbolizing warmth and indulgence during the holiday.""Puddings are showcased as a traditional dessert during Christmas celebrations, central to holiday meals.""Puddings are showcased as a traditional dessert during Christmas celebrations, central to holiday meals.""Puddings are showcased as a traditional dessert during Christmas celebrations, central to holiday meals."', 'source_id': 'chunk-99b0ec7f7e006561352b5d65e849611dchunk-843b5b2f944c7413d9ca876e2e2f151f'} +2024-10-30 05:53:03,798 - lightrag - INFO - get_node:query:MATCH (n:`FRUIT`) RETURN n:result:"Fruit represents a staple part of the Christmas spread, emphasizing freshness and the joy of sharing.""Fruit represents the fresh produce that accompanies holiday meals, bringing color and variety to the Christmas table.""Fruit represents the fresh produce that accompanies holiday meals, bringing color and variety to the Christmas table."', 'source_id': 'chunk-843b5b2f944c7413d9ca876e2e2f151fchunk-99b0ec7f7e006561352b5d65e849611d'}> +2024-10-30 05:53:03,929 - lightrag - INFO - _do_upsert:query: + MERGE (n:`FRUIT`) + SET n += $properties + RETURN n + :result:{'entity_type': '"ORGANIZATION"', 'description': '"Fruit represents a staple part of the Christmas spread, emphasizing freshness and the joy of sharing.""Fruit represents a staple part of the Christmas spread, emphasizing freshness and the joy of sharing.""Fruit represents a staple part of the Christmas spread, emphasizing freshness and the joy of sharing.""Fruit represents the fresh produce that accompanies holiday meals, bringing color and variety to the Christmas table.""Fruit represents the fresh produce that accompanies holiday meals, bringing color and variety to the Christmas table.""Fruit represents the fresh produce that accompanies holiday meals, bringing color and variety to the Christmas table."', 'source_id': 'chunk-99b0ec7f7e006561352b5d65e849611dchunk-843b5b2f944c7413d9ca876e2e2f151f'} +2024-10-30 05:53:04,057 - lightrag - INFO - get_node:query:MATCH (n:`PUNCH`) RETURN n:result:"Punch is a festive beverage that is often served during Christmas celebrations, adding to the holiday spirit.""Punch refers to a festive drink that is often served at Christmas gatherings, contributing to the celebration.""Punch refers to a festive drink that is often served at Christmas gatherings, contributing to the celebration."', 'source_id': 'chunk-843b5b2f944c7413d9ca876e2e2f151fchunk-99b0ec7f7e006561352b5d65e849611d'}> +2024-10-30 05:53:04,190 - lightrag - INFO - _do_upsert:query: + MERGE (n:`PUNCH`) + SET n += $properties + RETURN n + :result:{'entity_type': '"ORGANIZATION"', 'description': '"Punch is a festive beverage that is often served during Christmas celebrations, adding to the holiday spirit.""Punch is a festive beverage that is often served during Christmas celebrations, adding to the holiday spirit.""Punch is a festive beverage that is often served during Christmas celebrations, adding to the holiday spirit.""Punch refers to a festive drink that is often served at Christmas gatherings, contributing to the celebration.""Punch refers to a festive drink that is often served at Christmas gatherings, contributing to the celebration.""Punch refers to a festive drink that is often served at Christmas gatherings, contributing to the celebration."', 'source_id': 'chunk-99b0ec7f7e006561352b5d65e849611dchunk-843b5b2f944c7413d9ca876e2e2f151f'} +2024-10-30 05:53:04,318 - lightrag - INFO - get_node:query:MATCH (n:`ANTIQUE SCABBARD`) RETURN n:result: +2024-10-30 05:53:04,452 - lightrag - INFO - _do_upsert:query: + MERGE (n:`ANTIQUE SCABBARD`) + SET n += $properties + RETURN n + :result:{'entity_type': '"ORGANIZATION"', 'description': '"The Antique Scabbard is a symbolic object seen on the Ghost, representing the notion of protection and history."', 'source_id': 'chunk-843b5b2f944c7413d9ca876e2e2f151f'} +2024-10-30 05:53:04,581 - lightrag - INFO - get_node:query:MATCH (n:`GREAT BRITAIN`) RETURN n:result:"Great Britain is a location mentioned as having chimneys that appear to be catching fire and is the setting for a gloomy climate during Christmas time.""Great Britain is referenced as a location suffering from severe weather, which contrasts with the cheerful activities of its people during Christmas."', 'source_id': 'chunk-99b0ec7f7e006561352b5d65e849611d'}> +2024-10-30 05:53:04,715 - lightrag - INFO - _do_upsert:query: + MERGE (n:`GREAT BRITAIN`) + SET n += $properties + RETURN n + :result:{'entity_type': '"GEO"', 'description': '"Great Britain is a location mentioned as having chimneys that appear to be catching fire and is the setting for a gloomy climate during Christmas time.""Great Britain is a location mentioned as having chimneys that appear to be catching fire and is the setting for a gloomy climate during Christmas time.""Great Britain is a location mentioned as having chimneys that appear to be catching fire and is the setting for a gloomy climate during Christmas time.""Great Britain is referenced as a location suffering from severe weather, which contrasts with the cheerful activities of its people during Christmas."', 'source_id': 'chunk-99b0ec7f7e006561352b5d65e849611d'} +2024-10-30 05:53:04,844 - lightrag - INFO - get_node:query:MATCH (n:`GROCERS'`) RETURN n:result: +2024-10-30 05:53:04,975 - lightrag - INFO - _do_upsert:query: + MERGE (n:`GROCERS'`) + SET n += $properties + RETURN n + :result:{'entity_type': '"ORGANIZATION"', 'description': '"Grocers\' is an organization described as nearly closed yet bustling with eager customers, showcasing a variety of goods typical for Christmas time."', 'source_id': 'chunk-99b0ec7f7e006561352b5d65e849611d'} +2024-10-30 05:53:05,101 - lightrag - INFO - get_node:query:MATCH (n:`PEOPLE`) RETURN n:result: +2024-10-30 05:53:05,232 - lightrag - INFO - _do_upsert:query: + MERGE (n:`PEOPLE`) + SET n += $properties + RETURN n + :result:{'entity_type': '"ORGANIZATION"', 'description': '"The People represent the community celebrating Christmas, exhibiting joy, humor, and eagerness amidst the dreary weather."', 'source_id': 'chunk-99b0ec7f7e006561352b5d65e849611d'} +2024-10-30 05:53:05,355 - lightrag - INFO - get_node:query:MATCH (n:`GEESE`) RETURN n:result:"Geese are also traditional food items that may be included in Christmas feasts, adding to the holiday cheer.""Geese are another traditional food item during Christmas, contributing to the festive dining experiences.""Geese are included in the festive feast, representing the bounty and celebration associated with Christmas."', 'source_id': 'chunk-843b5b2f944c7413d9ca876e2e2f151fchunk-99b0ec7f7e006561352b5d65e849611d'}> +2024-10-30 05:53:05,488 - lightrag - INFO - _do_upsert:query: + MERGE (n:`GEESE`) + SET n += $properties + RETURN n + :result:{'entity_type': '"ORGANIZATION"', 'description': '"Geese are also traditional food items that may be included in Christmas feasts, adding to the holiday cheer.""Geese are also traditional food items that may be included in Christmas feasts, adding to the holiday cheer.""Geese are also traditional food items that may be included in Christmas feasts, adding to the holiday cheer.""Geese are another traditional food item during Christmas, contributing to the festive dining experiences.""Geese are included in the festive feast, representing the bounty and celebration associated with Christmas."', 'source_id': 'chunk-843b5b2f944c7413d9ca876e2e2f151fchunk-99b0ec7f7e006561352b5d65e849611d'} +2024-10-30 05:53:05,614 - lightrag - INFO - get_node:query:MATCH (n:`BRAWN`) RETURN n:result:"Brawn refers to a traditional meat dish that may be part of Christmas festivities, highlighting culinary practices of the season.""Brawn refers to a traditional meat dish that may be part of Christmas festivities, highlighting culinary practices of the season."', 'source_id': 'chunk-843b5b2f944c7413d9ca876e2e2f151fchunk-99b0ec7f7e006561352b5d65e849611d'}> +2024-10-30 05:53:05,746 - lightrag - INFO - _do_upsert:query: + MERGE (n:`BRAWN`) + SET n += $properties + RETURN n + :result:{'entity_type': '"ORGANIZATION"', 'description': '"Brawn is a type of meat included in the festive gathering, representing the richness of the Christmas feast.""Brawn refers to a traditional meat dish that may be part of Christmas festivities, highlighting culinary practices of the season.""Brawn refers to a traditional meat dish that may be part of Christmas festivities, highlighting culinary practices of the season.""Brawn refers to a traditional meat dish that may be part of Christmas festivities, highlighting culinary practices of the season."', 'source_id': 'chunk-843b5b2f944c7413d9ca876e2e2f151fchunk-99b0ec7f7e006561352b5d65e849611d'} +2024-10-30 05:53:05,881 - lightrag - INFO - get_node:query:MATCH (n:`CITY STREETS`) RETURN n:result: +2024-10-30 05:53:06,016 - lightrag - INFO - _do_upsert:query: + MERGE (n:`CITY STREETS`) + SET n += $properties + RETURN n + :result:{'entity_type': '"GEO"', 'description': '"City Streets are referenced as the setting where people are celebrating and making music, contributing to the festive atmosphere of Christmas morning."', 'source_id': 'chunk-99b0ec7f7e006561352b5d65e849611d'} +2024-10-30 05:53:06,150 - lightrag - INFO - get_node:query:MATCH (n:`SNOW`) RETURN n:result: +2024-10-30 05:53:06,280 - lightrag - INFO - _do_upsert:query: + MERGE (n:`SNOW`) + SET n += $properties + RETURN n + :result:{'entity_type': '"GEO"', 'description': '"Snow is a significant element of the Christmas setting, emphasizing the winter atmosphere and contributing to the imagery of the holiday."', 'source_id': 'chunk-99b0ec7f7e006561352b5d65e849611d'} +2024-10-30 05:53:06,404 - lightrag - INFO - get_node:query:MATCH (n:`PARAPETS`) RETURN n:result: +2024-10-30 05:53:06,537 - lightrag - INFO - _do_upsert:query: + MERGE (n:`PARAPETS`) + SET n += $properties + RETURN n + :result:{'entity_type': '"GEO"', 'description': '"Parapets are structures that people use to engage in playful activities, such as throwing snowballs during Christmas celebrations."', 'source_id': 'chunk-99b0ec7f7e006561352b5d65e849611d'} +2024-10-30 05:53:06,662 - lightrag - INFO - get_node:query:MATCH (n:`SPIRIT OF CHRISTMAS PRESENT`) RETURN n:result: +2024-10-30 05:53:06,804 - lightrag - INFO - _do_upsert:query: + MERGE (n:`SPIRIT OF CHRISTMAS PRESENT`) + SET n += $properties + RETURN n + :result:{'entity_type': '"PERSON"', 'description': '"The Spirit of Christmas Present embodies the spirit of generosity and compassion, showing Scrooge scenes of joy and festivity among the poor."', 'source_id': 'chunk-b0f459f5af1c3a5e0b92cbe4ee48b77b'} +2024-10-30 05:53:06,932 - lightrag - INFO - get_node:query:MATCH (n:`PETER CRATCHIT`) RETURN n:result:"Peter Cratchit is a member of the Cratchit family who participates in expressing their unity and happiness.""Peter Cratchit is Bob\'s son, excited about his clothing and preparing a festive meal, symbolizing youthful innocence and hope.""Peter Cratchit is one of Bob Cratchit\'s children, involved in family dynamics and interactions surrounding Tiny Tim.""Peter Cratchit is one of the Cratchit children, shown to be active and enthusiastic during the Christmas celebration.""Peter Cratchit is the eldest son of Bob and Mrs. Cratchit, who is portrayed as contemplative about his future as he considers a potential job opportunity.""Peter Cratchit is Bob\'s son, excited about his clothing and preparing a festive meal, symbolizing youthful innocence and hope.""Peter Cratchit is one of Bob Cratchit\'s children, involved in family dynamics and interactions surrounding Tiny Tim.""Peter Cratchit is one of the Cratchit children, shown to be active and enthusiastic during the Christmas celebration.""Peter Cratchit is the eldest son of Bob and Mrs. Cratchit, who is portrayed as contemplative about his future as he considers a potential job opportunity."', 'source_id': 'chunk-19d72c57ae3408758b18d2568e86dc6bchunk-7e2e7ebcc19a53b399dc03aded4743e7chunk-b0f459f5af1c3a5e0b92cbe4ee48b77bchunk-91572b3cd42786ba4cb2f180ca25cbf4'}> +2024-10-30 05:53:07,066 - lightrag - INFO - _do_upsert:query: + MERGE (n:`PETER CRATCHIT`) + SET n += $properties + RETURN n + :result:{'entity_type': '"PERSON"', 'description': '"Peter Cratchit is Bob\'s son, excited about dressing up and participating in the festive meal preparation.""Peter Cratchit is a member of the Cratchit family who participates in expressing their unity and happiness.""Peter Cratchit is Bob\'s son, excited about his clothing and preparing a festive meal, symbolizing youthful innocence and hope.""Peter Cratchit is one of Bob Cratchit\'s children, involved in family dynamics and interactions surrounding Tiny Tim.""Peter Cratchit is one of the Cratchit children, shown to be active and enthusiastic during the Christmas celebration.""Peter Cratchit is the eldest son of Bob and Mrs. Cratchit, who is portrayed as contemplative about his future as he considers a potential job opportunity.""Peter Cratchit is Bob\'s son, excited about his clothing and preparing a festive meal, symbolizing youthful innocence and hope.""Peter Cratchit is one of Bob Cratchit\'s children, involved in family dynamics and interactions surrounding Tiny Tim.""Peter Cratchit is one of the Cratchit children, shown to be active and enthusiastic during the Christmas celebration.""Peter Cratchit is the eldest son of Bob and Mrs. Cratchit, who is portrayed as contemplative about his future as he considers a potential job opportunity.""Peter Cratchit is Bob\'s son, excited about his clothing and preparing a festive meal, symbolizing youthful innocence and hope.""Peter Cratchit is one of Bob Cratchit\'s children, involved in family dynamics and interactions surrounding Tiny Tim.""Peter Cratchit is one of the Cratchit children, shown to be active and enthusiastic during the Christmas celebration.""Peter Cratchit is the eldest son of Bob and Mrs. Cratchit, who is portrayed as contemplative about his future as he considers a potential job opportunity."', 'source_id': 'chunk-91572b3cd42786ba4cb2f180ca25cbf4chunk-b0f459f5af1c3a5e0b92cbe4ee48b77bchunk-7e2e7ebcc19a53b399dc03aded4743e7chunk-19d72c57ae3408758b18d2568e86dc6b'} +2024-10-30 05:53:07,194 - lightrag - INFO - get_node:query:MATCH (n:`THE CRATCHIT HOUSEHOLD`) RETURN n:result: +2024-10-30 05:53:07,327 - lightrag - INFO - _do_upsert:query: + MERGE (n:`THE CRATCHIT HOUSEHOLD`) + SET n += $properties + RETURN n + :result:{'entity_type': '"ORGANIZATION"', 'description': '"The Cratchit Household represents a loving family unit, managing to find joy despite their financial struggles."', 'source_id': 'chunk-b0f459f5af1c3a5e0b92cbe4ee48b77b'} +2024-10-30 05:53:07,454 - lightrag - INFO - get_node:query:MATCH (n:`CHRISTMAS DAY`) RETURN n:result:"Christmas Day is a significant holiday that marks the time of Scrooge\'s revelation and intent to change.""Christmas Day is celebrated by the Cratchit family with a communal meal and expressions of joy and togetherness, highlighting the importance of family and gratitude.""Christmas Day serves as the central event around which the family gathers and reflects on their feelings towards Scrooge.""Christmas Day is portrayed as a day of celebration and gathering, emphasizing themes of togetherness and generosity.""Christmas Day serves as a central event for the gathering of the Cratchit family, filled with mixed feelings about their employer, Scrooge.""Christmas Day serves as the backdrop for Scrooge\'s transformation, representing joy, celebration, and new beginnings.""Christmas Day is portrayed as a day of celebration and gathering, emphasizing themes of togetherness and generosity.""Christmas Day serves as a central event for the gathering of the Cratchit family, filled with mixed feelings about their employer, Scrooge.""Christmas Day serves as the backdrop for Scrooge\'s transformation, representing joy, celebration, and new beginnings."', 'source_id': 'chunk-19d72c57ae3408758b18d2568e86dc6bchunk-90b95db5c53e4364a6bee36b7aa4d70fchunk-7e2e7ebcc19a53b399dc03aded4743e7chunk-b0f459f5af1c3a5e0b92cbe4ee48b77b'}> +2024-10-30 05:53:07,587 - lightrag - INFO - _do_upsert:query: + MERGE (n:`CHRISTMAS DAY`) + SET n += $properties + RETURN n + :result:{'entity_type': '"EVENT"', 'description': '"Christmas Day is a holiday during which the characters express joy and the significance of communal dining.""Christmas Day is a significant holiday that marks the time of Scrooge\'s revelation and intent to change.""Christmas Day is celebrated by the Cratchit family with a communal meal and expressions of joy and togetherness, highlighting the importance of family and gratitude.""Christmas Day serves as the central event around which the family gathers and reflects on their feelings towards Scrooge.""Christmas Day is portrayed as a day of celebration and gathering, emphasizing themes of togetherness and generosity.""Christmas Day serves as a central event for the gathering of the Cratchit family, filled with mixed feelings about their employer, Scrooge.""Christmas Day serves as the backdrop for Scrooge\'s transformation, representing joy, celebration, and new beginnings.""Christmas Day is portrayed as a day of celebration and gathering, emphasizing themes of togetherness and generosity.""Christmas Day serves as a central event for the gathering of the Cratchit family, filled with mixed feelings about their employer, Scrooge.""Christmas Day serves as the backdrop for Scrooge\'s transformation, representing joy, celebration, and new beginnings.""Christmas Day is portrayed as a day of celebration and gathering, emphasizing themes of togetherness and generosity.""Christmas Day serves as a central event for the gathering of the Cratchit family, filled with mixed feelings about their employer, Scrooge.""Christmas Day serves as the backdrop for Scrooge\'s transformation, representing joy, celebration, and new beginnings."', 'source_id': 'chunk-90b95db5c53e4364a6bee36b7aa4d70fchunk-7e2e7ebcc19a53b399dc03aded4743e7chunk-b0f459f5af1c3a5e0b92cbe4ee48b77bchunk-19d72c57ae3408758b18d2568e86dc6b'} +2024-10-30 05:53:07,715 - lightrag - INFO - get_node:query:MATCH (n:`THE GROCER`) RETURN n:result: +2024-10-30 05:53:07,857 - lightrag - INFO - _do_upsert:query: + MERGE (n:`THE GROCER`) + SET n += $properties + RETURN n + :result:{'entity_type': '"PERSON"', 'description': '"The Grocer is depicted as a welcoming figure who interacts with customers in a friendly manner, symbolizing community spirit."', 'source_id': 'chunk-b0f459f5af1c3a5e0b92cbe4ee48b77b'} +2024-10-30 05:53:07,981 - lightrag - INFO - get_node:query:MATCH (n:`THE PEOPLE`) RETURN n:result:"The People refer to the townsfolk whom Scrooge encounters, showcasing the communal spirit of Christmas.""The People refers to the inhabitants of the quarter, characterized by their desperate living conditions and societal challenges.""The People represent the townsfolk who come together in celebration during the Christmas season, highlighting communal joy and participation.""The People represent the various individuals Scrooge encounters during his joyful walk, symbolizing community and shared happiness.""The People refers to the inhabitants of the quarter, characterized by their desperate living conditions and societal challenges.""The People represent the townsfolk who come together in celebration during the Christmas season, highlighting communal joy and participation."', 'source_id': 'chunk-8f738cb25d60a7dab782162d9d0a25edchunk-f1a4fbcf1ed86864b9bfd5e8dba4c683chunk-b0f459f5af1c3a5e0b92cbe4ee48b77b'}> +2024-10-30 05:53:08,116 - lightrag - INFO - _do_upsert:query: + MERGE (n:`THE PEOPLE`) + SET n += $properties + RETURN n + :result:{'entity_type': '"ORGANIZATION"', 'description': '"The People refer to the townsfolk whom Scrooge encounters, showcasing the communal spirit of Christmas.""The People refer to the townsfolk whom Scrooge encounters, showcasing the communal spirit of Christmas.""The People refer to the townsfolk whom Scrooge encounters, showcasing the communal spirit of Christmas.""The People refers to the inhabitants of the quarter, characterized by their desperate living conditions and societal challenges.""The People represent the townsfolk who come together in celebration during the Christmas season, highlighting communal joy and participation.""The People represent the various individuals Scrooge encounters during his joyful walk, symbolizing community and shared happiness.""The People refers to the inhabitants of the quarter, characterized by their desperate living conditions and societal challenges.""The People represent the townsfolk who come together in celebration during the Christmas season, highlighting communal joy and participation.""The People refers to the inhabitants of the quarter, characterized by their desperate living conditions and societal challenges.""The People represent the townsfolk who come together in celebration during the Christmas season, highlighting communal joy and participation."', 'source_id': 'chunk-f1a4fbcf1ed86864b9bfd5e8dba4c683chunk-8f738cb25d60a7dab782162d9d0a25edchunk-b0f459f5af1c3a5e0b92cbe4ee48b77b'} +2024-10-30 05:53:08,261 - lightrag - INFO - get_node:query:MATCH (n:`THE SPIRIT'S TORCH`) RETURN n:result:"The Spirit\'s Torch is a unique tool used by the Spirit of Christmas Present to sprinkle blessings and create goodwill among people.""The Spirit\'s Torch symbolizes the joy and magic of the Christmas spirit, illuminating the family\'s happiness despite their hardships.""The Spirit\'s Torch symbolizes the joy and magic of the Christmas spirit, illuminating the family\'s happiness despite their hardships."', 'source_id': 'chunk-19d72c57ae3408758b18d2568e86dc6bchunk-b0f459f5af1c3a5e0b92cbe4ee48b77b'}> +2024-10-30 05:53:08,395 - lightrag - INFO - _do_upsert:query: + MERGE (n:`THE SPIRIT'S TORCH`) + SET n += $properties + RETURN n + :result:{'entity_type': '"TECHNOLOGY"', 'description': '"The Spirit\'s Torch is a unique tool used by the Spirit of Christmas Present to sprinkle blessings and create goodwill among people.""The Spirit\'s Torch is a unique tool used by the Spirit of Christmas Present to sprinkle blessings and create goodwill among people.""The Spirit\'s Torch is a unique tool used by the Spirit of Christmas Present to sprinkle blessings and create goodwill among people.""The Spirit\'s Torch symbolizes the joy and magic of the Christmas spirit, illuminating the family\'s happiness despite their hardships.""The Spirit\'s Torch symbolizes the joy and magic of the Christmas spirit, illuminating the family\'s happiness despite their hardships.""The Spirit\'s Torch symbolizes the joy and magic of the Christmas spirit, illuminating the family\'s happiness despite their hardships."', 'source_id': 'chunk-b0f459f5af1c3a5e0b92cbe4ee48b77bchunk-19d72c57ae3408758b18d2568e86dc6b'} +2024-10-30 05:53:08,543 - lightrag - INFO - get_node:query:MATCH (n:`THE BAKER'S SHOP`) RETURN n:result: +2024-10-30 05:53:08,685 - lightrag - INFO - _do_upsert:query: + MERGE (n:`THE BAKER'S SHOP`) + SET n += $properties + RETURN n + :result:{'entity_type': '"ORGANIZATION"', 'description': '"The Baker\'s Shop is a significant location where townspeople gather to procure their meals, indicating a hub of community activity."', 'source_id': 'chunk-b0f459f5af1c3a5e0b92cbe4ee48b77b'} +2024-10-30 05:53:08,814 - lightrag - INFO - get_node:query:MATCH (n:`DINNERS`) RETURN n:result:"Dinners refer to the meals shared by families on Christmas Day, representing the joy and nourishment that bring people together.""Dinners represent the communal and familial gatherings that occur during Christmas, emphasized in the text as significant for enjoyment and sharing."', 'source_id': 'chunk-b0f459f5af1c3a5e0b92cbe4ee48b77b'}> +2024-10-30 05:53:08,946 - lightrag - INFO - _do_upsert:query: + MERGE (n:`DINNERS`) + SET n += $properties + RETURN n + :result:{'entity_type': '"EVENT"', 'description': '"Dinners refer to the meals shared by families on Christmas Day, representing the joy and nourishment that bring people together.""Dinners refer to the meals shared by families on Christmas Day, representing the joy and nourishment that bring people together.""Dinners refer to the meals shared by families on Christmas Day, representing the joy and nourishment that bring people together.""Dinners represent the communal and familial gatherings that occur during Christmas, emphasized in the text as significant for enjoyment and sharing."', 'source_id': 'chunk-b0f459f5af1c3a5e0b92cbe4ee48b77b'} +2024-10-30 05:53:09,081 - lightrag - INFO - get_node:query:MATCH (n:`THE STREETS`) RETURN n:result: +2024-10-30 05:53:09,213 - lightrag - INFO - _do_upsert:query: + MERGE (n:`THE STREETS`) + SET n += $properties + RETURN n + :result:{'entity_type': '"GEO"', 'description': '"The Streets are the setting for the gatherings and interactions of townspeople during Christmas, showcasing the festive atmosphere."', 'source_id': 'chunk-b0f459f5af1c3a5e0b92cbe4ee48b77b'} +2024-10-30 05:53:09,337 - lightrag - INFO - get_node:query:MATCH (n:`THE SUBURBS`) RETURN n:result: +2024-10-30 05:53:09,472 - lightrag - INFO - _do_upsert:query: + MERGE (n:`THE SUBURBS`) + SET n += $properties + RETURN n + :result:{'entity_type': '"GEO"', 'description': '"The Suburbs are depicted as the area where the Spirit takes Scrooge to observe the lives of the less fortunate, emphasizing social issues."', 'source_id': 'chunk-b0f459f5af1c3a5e0b92cbe4ee48b77b'} +2024-10-30 05:53:09,597 - lightrag - INFO - get_node:query:MATCH (n:`THE NIGHT`) RETURN n:result: +2024-10-30 05:53:09,731 - lightrag - INFO - _do_upsert:query: + MERGE (n:`THE NIGHT`) + SET n += $properties + RETURN n + :result:{'entity_type': '"EVENT"', 'description': '"The Night, particularly Christmas Eve, is framed as a time for reflection and celebration as families prepare for the festivities."', 'source_id': 'chunk-b0f459f5af1c3a5e0b92cbe4ee48b77b'} +2024-10-30 05:53:09,860 - lightrag - INFO - get_node:query:MATCH (n:`CRATCHIT FAMILY`) RETURN n:result:"The Cratchit Family consists of Bob, Mrs. Cratchit, and their children, embodying themes of family unity and contentment despite hardships.""The Cratchit Family is a close-knit family characterized by love and togetherness, celebrating Christmas with simple but joyful traditions.""The Cratchit Family is portrayed as a close-knit group who, despite their hardships, find joy and gratitude during the Christmas gathering.""The Cratchit Family is portrayed as a loving unit celebrating Christmas together, with various members actively participating in the festivities.""The Cratchit family represents a unit bound by love and resilience in the face of adversity, dealing with emotional and financial struggles.""The Cratchit Family is depicted as a warm and loving household celebrating Christmas together, with various members actively participating in the festivities.""The Cratchit Family is depicted as a warm and loving household celebrating Christmas together, with various members actively participating in the festivities."', 'source_id': 'chunk-503f0bfa5453467c7c61d160a3540ecachunk-19d72c57ae3408758b18d2568e86dc6bchunk-7e2e7ebcc19a53b399dc03aded4743e7chunk-83ac129dc9b56f84c46760d153d68e93'}> +2024-10-30 05:53:10,000 - lightrag - INFO - _do_upsert:query: + MERGE (n:`CRATCHIT FAMILY`) + SET n += $properties + RETURN n + :result:{'entity_type': '"ORGANIZATION"', 'description': '"The Cratchit Family consists of Bob, Mrs. Cratchit, and their children, embodying themes of family unity and contentment despite hardships.""The Cratchit Family consists of Bob, Mrs. Cratchit, and their children, embodying themes of family unity and contentment despite hardships.""The Cratchit Family consists of Bob, Mrs. Cratchit, and their children, embodying themes of family unity and contentment despite hardships.""The Cratchit Family is a close-knit family characterized by love and togetherness, celebrating Christmas with simple but joyful traditions.""The Cratchit Family is portrayed as a close-knit group who, despite their hardships, find joy and gratitude during the Christmas gathering.""The Cratchit Family is portrayed as a loving unit celebrating Christmas together, with various members actively participating in the festivities.""The Cratchit family represents a unit bound by love and resilience in the face of adversity, dealing with emotional and financial struggles.""The Cratchit Family is depicted as a warm and loving household celebrating Christmas together, with various members actively participating in the festivities.""The Cratchit Family is depicted as a warm and loving household celebrating Christmas together, with various members actively participating in the festivities.""The Cratchit Family is depicted as a warm and loving household celebrating Christmas together, with various members actively participating in the festivities."', 'source_id': 'chunk-503f0bfa5453467c7c61d160a3540ecachunk-7e2e7ebcc19a53b399dc03aded4743e7chunk-19d72c57ae3408758b18d2568e86dc6bchunk-83ac129dc9b56f84c46760d153d68e93'} +2024-10-30 05:53:10,134 - lightrag - INFO - get_node:query:MATCH (n:`MARTHA`) RETURN n:result:"Martha is the daughter in the Cratchit family, who makes a dramatic entrance to surprise her family, highlighting the family\'s closeness.""Martha is the daughter in the Cratchit family, who makes a dramatic entrance to surprise her family, highlighting the family\'s closeness."', 'source_id': 'chunk-19d72c57ae3408758b18d2568e86dc6bchunk-7e2e7ebcc19a53b399dc03aded4743e7'}> +2024-10-30 05:53:10,275 - lightrag - INFO - _do_upsert:query: + MERGE (n:`MARTHA`) + SET n += $properties + RETURN n + :result:{'entity_type': '"PERSON"', 'description': '"Martha is a poor apprentice at a milliner\'s and shares her experience with the family during their Christmas gathering, contributing to the family atmosphere.""Martha is the daughter in the Cratchit family, who makes a dramatic entrance to surprise her family, highlighting the family\'s closeness.""Martha is the daughter in the Cratchit family, who makes a dramatic entrance to surprise her family, highlighting the family\'s closeness.""Martha is the daughter in the Cratchit family, who makes a dramatic entrance to surprise her family, highlighting the family\'s closeness."', 'source_id': 'chunk-7e2e7ebcc19a53b399dc03aded4743e7chunk-19d72c57ae3408758b18d2568e86dc6b'} +2024-10-30 05:53:10,405 - lightrag - INFO - get_node:query:MATCH (n:`CRATCHIT CHRISTMAS DINNER`) RETURN n:result: +2024-10-30 05:53:10,538 - lightrag - INFO - _do_upsert:query: + MERGE (n:`CRATCHIT CHRISTMAS DINNER`) + SET n += $properties + RETURN n + :result:{'entity_type': '"EVENT"', 'description': '"Cratchit Christmas Dinner is a festive occasion filled with joy, love, and togetherness as the family celebrates the holiday."', 'source_id': 'chunk-7e2e7ebcc19a53b399dc03aded4743e7'} +2024-10-30 05:53:10,666 - lightrag - INFO - get_node:query:MATCH (n:`THE GOOSE`) RETURN n:result:"The Goose is a central dish enjoyed by the Cratchit family during their Christmas dinner, symbolizing abundance and celebration.""The Goose is a central element of the Cratchit Christmas dinner, representing abundance and the joy of the holiday as the family eagerly anticipates its serving.""The Goose is a central part of the Cratchit family Christmas dinner, which they celebrate with excitement and anticipation, symbolizing abundance and joy.""The Goose is a central element of the Cratchit Christmas dinner, representing abundance and the joy of the holiday as the family eagerly anticipates its serving."', 'source_id': 'chunk-503f0bfa5453467c7c61d160a3540ecachunk-7e2e7ebcc19a53b399dc03aded4743e7'}> +2024-10-30 05:53:10,797 - lightrag - INFO - _do_upsert:query: + MERGE (n:`THE GOOSE`) + SET n += $properties + RETURN n + :result:{'entity_type': '"EVENT"', 'description': '"The Goose is a central dish enjoyed by the Cratchit family during their Christmas dinner, symbolizing abundance and celebration.""The Goose is a central dish enjoyed by the Cratchit family during their Christmas dinner, symbolizing abundance and celebration.""The Goose is a central dish enjoyed by the Cratchit family during their Christmas dinner, symbolizing abundance and celebration.""The Goose is a central element of the Cratchit Christmas dinner, representing abundance and the joy of the holiday as the family eagerly anticipates its serving.""The Goose is a central part of the Cratchit family Christmas dinner, which they celebrate with excitement and anticipation, symbolizing abundance and joy.""The Goose is a central element of the Cratchit Christmas dinner, representing abundance and the joy of the holiday as the family eagerly anticipates its serving.""The Goose is a central element of the Cratchit Christmas dinner, representing abundance and the joy of the holiday as the family eagerly anticipates its serving."', 'source_id': 'chunk-503f0bfa5453467c7c61d160a3540ecachunk-7e2e7ebcc19a53b399dc03aded4743e7'} +2024-10-30 05:53:10,929 - lightrag - INFO - get_node:query:MATCH (n:`THE YOUNG CRATCHITS`) RETURN n:result: +2024-10-30 05:53:11,065 - lightrag - INFO - _do_upsert:query: + MERGE (n:`THE YOUNG CRATCHITS`) + SET n += $properties + RETURN n + :result:{'entity_type': '"ORGANIZATION"', 'description': '"The Young Cratchits are the children in the Cratchit family who contribute to the lively atmosphere, expressing excitement and involvement in the Christmas celebrations."', 'source_id': 'chunk-7e2e7ebcc19a53b399dc03aded4743e7'} +2024-10-30 05:53:11,195 - lightrag - INFO - get_node:query:MATCH (n:`THE PUDDING`) RETURN n:result:"The Pudding is a special dessert made by Mrs. Cratchit, described as hard and firm, and is a source of pride and excitement for the family.""The Pudding is a traditional dish prepared for Christmas, symbolizing festivity and the warmth of family gatherings.""The Pudding is a traditional dish served at the Cratchit Christmas dinner, symbolizing festive joy and family gatherings.""The Pudding is a traditional dish served at the Cratchit Christmas dinner, symbolizing festive joy and family gatherings."', 'source_id': 'chunk-503f0bfa5453467c7c61d160a3540ecachunk-7e2e7ebcc19a53b399dc03aded4743e7chunk-90d5764e301321c087f5a8f78b73a145'}> +2024-10-30 05:53:11,329 - lightrag - INFO - _do_upsert:query: + MERGE (n:`THE PUDDING`) + SET n += $properties + RETURN n + :result:{'entity_type': '"EVENT"', 'description': '"The Pudding is a special dessert made by Mrs. Cratchit, described as hard and firm, and is a source of pride and excitement for the family.""The Pudding is a special dessert made by Mrs. Cratchit, described as hard and firm, and is a source of pride and excitement for the family.""The Pudding is a special dessert made by Mrs. Cratchit, described as hard and firm, and is a source of pride and excitement for the family.""The Pudding is a traditional dish prepared for Christmas, symbolizing festivity and the warmth of family gatherings.""The Pudding is a traditional dish served at the Cratchit Christmas dinner, symbolizing festive joy and family gatherings.""The Pudding is a traditional dish served at the Cratchit Christmas dinner, symbolizing festive joy and family gatherings.""The Pudding is a traditional dish served at the Cratchit Christmas dinner, symbolizing festive joy and family gatherings."', 'source_id': 'chunk-503f0bfa5453467c7c61d160a3540ecachunk-7e2e7ebcc19a53b399dc03aded4743e7chunk-90d5764e301321c087f5a8f78b73a145'} +2024-10-30 05:53:11,458 - lightrag - INFO - get_node:query:MATCH (n:`THE FIRE`) RETURN n:result:"The Fire represents warmth and comfort in the Cratchit household, inviting family members to gather around during their Christmas celebration.""The Fire represents warmth and comfort in the Cratchit household, inviting family members to gather around during their Christmas celebration."', 'source_id': 'chunk-7e2e7ebcc19a53b399dc03aded4743e7chunk-773d0df1dd25c356f7b771d780583e09'}> +2024-10-30 05:53:11,595 - lightrag - INFO - _do_upsert:query: + MERGE (n:`THE FIRE`) + SET n += $properties + RETURN n + :result:{'entity_type': '"EVENT"', 'description': '"The Fire represents warmth and comfort during the family gathering, enhancing the atmosphere of camaraderie.""The Fire represents warmth and comfort in the Cratchit household, inviting family members to gather around during their Christmas celebration.""The Fire represents warmth and comfort in the Cratchit household, inviting family members to gather around during their Christmas celebration.""The Fire represents warmth and comfort in the Cratchit household, inviting family members to gather around during their Christmas celebration."', 'source_id': 'chunk-7e2e7ebcc19a53b399dc03aded4743e7chunk-773d0df1dd25c356f7b771d780583e09'} +2024-10-30 05:53:11,721 - lightrag - INFO - get_node:query:MATCH (n:`THE DINNER`) RETURN n:result:"The Dinner is a festive event where the Cratchit family gathers to enjoy a meal, including a special goose and pudding, symbolizing their togetherness.""The Dinner is a social event characterized by laughter, music, and discussions about Scrooge, portraying a festive Christmas gathering."', 'source_id': 'chunk-503f0bfa5453467c7c61d160a3540ecachunk-773d0df1dd25c356f7b771d780583e09'}> +2024-10-30 05:53:11,855 - lightrag - INFO - _do_upsert:query: + MERGE (n:`THE DINNER`) + SET n += $properties + RETURN n + :result:{'entity_type': '"EVENT"', 'description': '"The Dinner is a festive event where the Cratchit family gathers to enjoy a meal, including a special goose and pudding, symbolizing their togetherness.""The Dinner is a festive event where the Cratchit family gathers to enjoy a meal, including a special goose and pudding, symbolizing their togetherness.""The Dinner is a festive event where the Cratchit family gathers to enjoy a meal, including a special goose and pudding, symbolizing their togetherness.""The Dinner is a social event characterized by laughter, music, and discussions about Scrooge, portraying a festive Christmas gathering."', 'source_id': 'chunk-503f0bfa5453467c7c61d160a3540ecachunk-773d0df1dd25c356f7b771d780583e09'} +2024-10-30 05:53:11,988 - lightrag - INFO - get_node:query:MATCH (n:`MISS BELINDA`) RETURN n:result: +2024-10-30 05:53:12,122 - lightrag - INFO - _do_upsert:query: + MERGE (n:`MISS BELINDA`) + SET n += $properties + RETURN n + :result:{'entity_type': '"PERSON"', 'description': '"Miss Belinda is a member of the Cratchit family who assists in the dinner preparations, specifically changing the plates."', 'source_id': 'chunk-503f0bfa5453467c7c61d160a3540eca'} +2024-10-30 05:53:12,247 - lightrag - INFO - get_node:query:MATCH (n:`THE FOUNDER OF THE FEAST`) RETURN n:result: +2024-10-30 05:53:12,382 - lightrag - INFO - _do_upsert:query: + MERGE (n:`THE FOUNDER OF THE FEAST`) + SET n += $properties + RETURN n + :result:{'entity_type': '"TITLE"', 'description': '"The Founder of the Feast refers to Scrooge, whom Bob Cratchit acknowledges during the Christmas dinner, signifying gratitude toward Scrooge\'s provision for the meal."', 'source_id': 'chunk-503f0bfa5453467c7c61d160a3540eca'} +2024-10-30 05:53:12,507 - lightrag - INFO - get_node:query:MATCH (n:`THE COUNTESS`) RETURN n:result:"The Countess is mentioned by Martha, indicating an encounter that highlights the social stratification and aspirations of the Cratchit family.""The Countess is referenced by Martha, showcasing her interaction with figures of higher social status, contrasting with the Cratchit family\'s situation."', 'source_id': 'chunk-19d72c57ae3408758b18d2568e86dc6b'}> +2024-10-30 05:53:12,644 - lightrag - INFO - _do_upsert:query: + MERGE (n:`THE COUNTESS`) + SET n += $properties + RETURN n + :result:{'entity_type': '"PERSON"', 'description': '"The Countess is mentioned by Martha, indicating an encounter that highlights the social stratification and aspirations of the Cratchit family.""The Countess is mentioned by Martha, indicating an encounter that highlights the social stratification and aspirations of the Cratchit family.""The Countess is mentioned by Martha, indicating an encounter that highlights the social stratification and aspirations of the Cratchit family.""The Countess is referenced by Martha, showcasing her interaction with figures of higher social status, contrasting with the Cratchit family\'s situation."', 'source_id': 'chunk-19d72c57ae3408758b18d2568e86dc6b'} +2024-10-30 05:53:12,773 - lightrag - INFO - get_node:query:MATCH (n:`THE LORD`) RETURN n:result:"The Lord is referenced in Martha\'s account of her work, underscoring the contrast between the Cratchit family\'s modest means and the nobility.""The Lord is referenced in Martha\'s account of her work, underscoring the contrast between the Cratchit family\'s modest means and the nobility."', 'source_id': 'chunk-19d72c57ae3408758b18d2568e86dc6b'}> +2024-10-30 05:53:12,907 - lightrag - INFO - _do_upsert:query: + MERGE (n:`THE LORD`) + SET n += $properties + RETURN n + :result:{'entity_type': '"PERSON"', 'description': '"The Lord is mentioned by Martha as someone she encountered, illustrating her experiences outside her family\'s struggles.""The Lord is referenced in Martha\'s account of her work, underscoring the contrast between the Cratchit family\'s modest means and the nobility.""The Lord is referenced in Martha\'s account of her work, underscoring the contrast between the Cratchit family\'s modest means and the nobility.""The Lord is referenced in Martha\'s account of her work, underscoring the contrast between the Cratchit family\'s modest means and the nobility."', 'source_id': 'chunk-19d72c57ae3408758b18d2568e86dc6b'} +2024-10-30 05:53:13,037 - lightrag - INFO - get_node:query:MATCH (n:`THE GATHERING`) RETURN n:result: +2024-10-30 05:53:13,170 - lightrag - INFO - _do_upsert:query: + MERGE (n:`THE GATHERING`) + SET n += $properties + RETURN n + :result:{'entity_type': '"EVENT"', 'description': '"The Gathering refers to the collective event of the family coming together to celebrate Christmas, filled with warmth and camaraderie despite their struggles."', 'source_id': 'chunk-19d72c57ae3408758b18d2568e86dc6b'} +2024-10-30 05:53:13,298 - lightrag - INFO - get_node:query:MATCH (n:`THE LIGHTHOUSE`) RETURN n:result:"The Lighthouse serves as a solitary structure representing hope and guidance amid a stormy sea, populated by individuals celebrating Christmas.""The Lighthouse serves as a solitary structure representing hope and guidance amid a stormy sea, populated by individuals celebrating Christmas."', 'source_id': 'chunk-91614df5cb74cbe5e109a338a82041e9'}> +2024-10-30 05:53:13,433 - lightrag - INFO - _do_upsert:query: + MERGE (n:`THE LIGHTHOUSE`) + SET n += $properties + RETURN n + :result:{'entity_type': '"GEO"', 'description': '"The Lighthouse is a solitary structure standing on a reef, symbolizing hope and guidance amidst the tumultuous sea.""The Lighthouse serves as a solitary structure representing hope and guidance amid a stormy sea, populated by individuals celebrating Christmas.""The Lighthouse serves as a solitary structure representing hope and guidance amid a stormy sea, populated by individuals celebrating Christmas.""The Lighthouse serves as a solitary structure representing hope and guidance amid a stormy sea, populated by individuals celebrating Christmas."', 'source_id': 'chunk-91614df5cb74cbe5e109a338a82041e9'} +2024-10-30 05:53:13,560 - lightrag - INFO - get_node:query:MATCH (n:`THE SHIP`) RETURN n:result:"The Ship is a vessel where the crew shares moments of kindness and reflection during Christmas, symbolizing unity and camaraderie.""The Ship is described as a vessel on the open sea, where the crew reflects on Christmas, showcasing camaraderie and a sense of belonging."', 'source_id': 'chunk-91614df5cb74cbe5e109a338a82041e9'}> +2024-10-30 05:53:13,692 - lightrag - INFO - _do_upsert:query: + MERGE (n:`THE SHIP`) + SET n += $properties + RETURN n + :result:{'entity_type': '"GEO"', 'description': '"The Ship is a vessel where the crew shares moments of kindness and reflection during Christmas, symbolizing unity and camaraderie.""The Ship is a vessel where the crew shares moments of kindness and reflection during Christmas, symbolizing unity and camaraderie.""The Ship is a vessel where the crew shares moments of kindness and reflection during Christmas, symbolizing unity and camaraderie.""The Ship is described as a vessel on the open sea, where the crew reflects on Christmas, showcasing camaraderie and a sense of belonging."', 'source_id': 'chunk-91614df5cb74cbe5e109a338a82041e9'} +2024-10-30 05:53:13,820 - lightrag - INFO - get_node:query:MATCH (n:`THE LAMPLIGHTER`) RETURN n:result:"The Lamplighter is a character who brings light to the street, symbolizing hope and joy as he dotting the dusky street with specks of light.""The Lamplighter is a character who fills the street with light, representing the warmth and joy of the holiday season."', 'source_id': 'chunk-91614df5cb74cbe5e109a338a82041e9'}> +2024-10-30 05:53:13,955 - lightrag - INFO - _do_upsert:query: + MERGE (n:`THE LAMPLIGHTER`) + SET n += $properties + RETURN n + :result:{'entity_type': '"PERSON"', 'description': '"The Lamplighter is a character who brings light to the street, symbolizing hope and joy as he dotting the dusky street with specks of light.""The Lamplighter is a character who brings light to the street, symbolizing hope and joy as he dotting the dusky street with specks of light.""The Lamplighter is a character who brings light to the street, symbolizing hope and joy as he dotting the dusky street with specks of light.""The Lamplighter is a character who fills the street with light, representing the warmth and joy of the holiday season."', 'source_id': 'chunk-91614df5cb74cbe5e109a338a82041e9'} +2024-10-30 05:53:14,086 - lightrag - INFO - get_node:query:MATCH (n:`THE MOOR`) RETURN n:result: +2024-10-30 05:53:14,219 - lightrag - INFO - _do_upsert:query: + MERGE (n:`THE MOOR`) + SET n += $properties + RETURN n + :result:{'entity_type': '"GEO"', 'description': '"The Moor is depicted as a bleak and desolate landscape, symbolizing the harsh conditions where miners live."', 'source_id': 'chunk-91614df5cb74cbe5e109a338a82041e9'} +2024-10-30 05:53:14,348 - lightrag - INFO - get_node:query:MATCH (n:`THE OLD MAN`) RETURN n:result:"The Old Man is a character who sings a Christmas song, providing a sense of tradition and warmth amidst the desolate environment.""The Old Man is portrayed as a figure of light and joy among his family, singing a Christmas song that connects generations."', 'source_id': 'chunk-91614df5cb74cbe5e109a338a82041e9'}> +2024-10-30 05:53:14,483 - lightrag - INFO - _do_upsert:query: + MERGE (n:`THE OLD MAN`) + SET n += $properties + RETURN n + :result:{'entity_type': '"PERSON"', 'description': '"The Old Man is a character who sings a Christmas song, providing a sense of tradition and warmth amidst the desolate environment.""The Old Man is a character who sings a Christmas song, providing a sense of tradition and warmth amidst the desolate environment.""The Old Man is a character who sings a Christmas song, providing a sense of tradition and warmth amidst the desolate environment.""The Old Man is portrayed as a figure of light and joy among his family, singing a Christmas song that connects generations."', 'source_id': 'chunk-91614df5cb74cbe5e109a338a82041e9'} +2024-10-30 05:53:14,613 - lightrag - INFO - get_node:query:MATCH (n:`THE HUT`) RETURN n:result:"The Hut is a place where miners and their families gather to celebrate Christmas, representing warmth and community.""The Hut is a shelter for the miners that provides warmth and a gathering space for family during the winter, serving as a symbol of refuge."', 'source_id': 'chunk-91614df5cb74cbe5e109a338a82041e9'}> +2024-10-30 05:53:14,748 - lightrag - INFO - _do_upsert:query: + MERGE (n:`THE HUT`) + SET n += $properties + RETURN n + :result:{'entity_type': '"GEO"', 'description': '"The Hut is a place where miners and their families gather to celebrate Christmas, representing warmth and community.""The Hut is a place where miners and their families gather to celebrate Christmas, representing warmth and community.""The Hut is a place where miners and their families gather to celebrate Christmas, representing warmth and community.""The Hut is a shelter for the miners that provides warmth and a gathering space for family during the winter, serving as a symbol of refuge."', 'source_id': 'chunk-91614df5cb74cbe5e109a338a82041e9'} +2024-10-30 05:53:14,879 - lightrag - INFO - get_node:query:MATCH (n:`THE MINERS`) RETURN n:result:"The Miners are individuals who labor in the moor, showcasing their resilience and connection to Christmas despite their harsh living conditions.""The Miners refer to a group of laborers living in a bleak landscape, embodying the struggles and resilience of working-class life."', 'source_id': 'chunk-91614df5cb74cbe5e109a338a82041e9'}> +2024-10-30 05:53:15,019 - lightrag - INFO - _do_upsert:query: + MERGE (n:`THE MINERS`) + SET n += $properties + RETURN n + :result:{'entity_type': '"ORGANIZATION"', 'description': '"The Miners are individuals who labor in the moor, showcasing their resilience and connection to Christmas despite their harsh living conditions.""The Miners are individuals who labor in the moor, showcasing their resilience and connection to Christmas despite their harsh living conditions.""The Miners are individuals who labor in the moor, showcasing their resilience and connection to Christmas despite their harsh living conditions.""The Miners refer to a group of laborers living in a bleak landscape, embodying the struggles and resilience of working-class life."', 'source_id': 'chunk-91614df5cb74cbe5e109a338a82041e9'} +2024-10-30 05:53:15,151 - lightrag - INFO - get_node:query:MATCH (n:`THE OFFICERS`) RETURN n:result: +2024-10-30 05:53:15,286 - lightrag - INFO - _do_upsert:query: + MERGE (n:`THE OFFICERS`) + SET n += $properties + RETURN n + :result:{'entity_type': '"ORGANIZATION"', 'description': '"The Officers are dark, ghostly figures aboard the ship, participating in the shared camaraderie of the Christmas spirit."', 'source_id': 'chunk-91614df5cb74cbe5e109a338a82041e9'} +2024-10-30 05:53:15,414 - lightrag - INFO - get_node:query:MATCH (n:`THE WAVE`) RETURN n:result: +2024-10-30 05:53:15,547 - lightrag - INFO - _do_upsert:query: + MERGE (n:`THE WAVE`) + SET n += $properties + RETURN n + :result:{'entity_type': '"GEO"', 'description': '"The Wave is described as thundering and raging, representing the overwhelming natural forces present in the sea setting."', 'source_id': 'chunk-91614df5cb74cbe5e109a338a82041e9'} +2024-10-30 05:53:15,679 - lightrag - INFO - get_node:query:MATCH (n:`STORM-BIRDS`) RETURN n:result:"Storm-Birds are creatures associated with the wild sea, symbolizing the untamed nature of the environment around the lighthouse.""Storm-Birds are depicted as creatures that rise and fall with the waves, symbolizing the harshness of the environment and the connection to the sea."', 'source_id': 'chunk-91614df5cb74cbe5e109a338a82041e9'}> +2024-10-30 05:53:15,822 - lightrag - INFO - _do_upsert:query: + MERGE (n:`STORM-BIRDS`) + SET n += $properties + RETURN n + :result:{'entity_type': '"GEO"', 'description': '"Storm-Birds are creatures associated with the wild sea, symbolizing the untamed nature of the environment around the lighthouse.""Storm-Birds are creatures associated with the wild sea, symbolizing the untamed nature of the environment around the lighthouse.""Storm-Birds are creatures associated with the wild sea, symbolizing the untamed nature of the environment around the lighthouse.""Storm-Birds are depicted as creatures that rise and fall with the waves, symbolizing the harshness of the environment and the connection to the sea."', 'source_id': 'chunk-91614df5cb74cbe5e109a338a82041e9'} +2024-10-30 05:53:15,951 - lightrag - INFO - get_node:query:MATCH (n:`SCROOGE'S NIECE`) RETURN n:result:"Scrooge\'s Niece is a lively character who expresses indignation towards Scrooge\'s disdain for Christmas and embodies warmth and charm, showing affection and concern for family.""Scrooge\'s Niece is depicted as a beautiful and lively character who expresses strong opinions about her uncle Scrooge.""Scrooge\'s niece is depicted as a joyful participant in the evening\'s festivities, engaging in games and music.""Scrooge\'s niece is a central figure in the family gathering, enjoying the festivities and games, showing a loving and vibrant personality.""Scrooge\'s niece is a central figure in the family gathering, enjoying the festivities and games, showing a loving and vibrant personality."', 'source_id': 'chunk-43c9bee23adfa77aa9dedd22401bba7dchunk-773d0df1dd25c356f7b771d780583e09'}> +2024-10-30 05:53:16,084 - lightrag - INFO - _do_upsert:query: + MERGE (n:`SCROOGE'S NIECE`) + SET n += $properties + RETURN n + :result:{'entity_type': '"PERSON"', 'description': '"Scrooge\'s Niece is a lively character who expresses indignation towards Scrooge\'s disdain for Christmas and embodies warmth and charm, showing affection and concern for family.""Scrooge\'s Niece is a lively character who expresses indignation towards Scrooge\'s disdain for Christmas and embodies warmth and charm, showing affection and concern for family.""Scrooge\'s Niece is a lively character who expresses indignation towards Scrooge\'s disdain for Christmas and embodies warmth and charm, showing affection and concern for family.""Scrooge\'s Niece is depicted as a beautiful and lively character who expresses strong opinions about her uncle Scrooge.""Scrooge\'s niece is depicted as a joyful participant in the evening\'s festivities, engaging in games and music.""Scrooge\'s niece is a central figure in the family gathering, enjoying the festivities and games, showing a loving and vibrant personality.""Scrooge\'s niece is a central figure in the family gathering, enjoying the festivities and games, showing a loving and vibrant personality.""Scrooge\'s niece is a central figure in the family gathering, enjoying the festivities and games, showing a loving and vibrant personality."', 'source_id': 'chunk-43c9bee23adfa77aa9dedd22401bba7dchunk-773d0df1dd25c356f7b771d780583e09'} +2024-10-30 05:53:16,212 - lightrag - INFO - get_node:query:MATCH (n:`TOPPER`) RETURN n:result:"Topper is a character who participates in the dinner and seems to have an interest in one of Scrooge\'s niece\'s sisters.""Topper is a guest at the Christmas party, representing the jovial and festive spirit of the gathering with Fred and Scrooge.""Topper is a jovial character who participates in games and is known for his playful and somewhat roguish behavior during the festivities.""Topper is a member of Scrooge\'s Niece\'s social group, characterized by his playful manner and romantic interests, notably towards one of Scrooge\'s Niece\'s sisters.""Topper is one of Fred\'s friends who attends the Christmas gathering, contributing to the joyful atmosphere of the celebration.""Topper is a jovial character who participates in games and is known for his playful and somewhat roguish behavior during the festivities.""Topper is a member of Scrooge\'s Niece\'s social group, characterized by his playful manner and romantic interests, notably towards one of Scrooge\'s Niece\'s sisters.""Topper is one of Fred\'s friends who attends the Christmas gathering, contributing to the joyful atmosphere of the celebration."', 'source_id': 'chunk-43c9bee23adfa77aa9dedd22401bba7dchunk-94bea83e7153fc2064aa382b494936a1chunk-773d0df1dd25c356f7b771d780583e09'}> +2024-10-30 05:53:16,348 - lightrag - INFO - _do_upsert:query: + MERGE (n:`TOPPER`) + SET n += $properties + RETURN n + :result:{'entity_type': '"PERSON"', 'description': '"Topper is a character known for his lively and mischievous behavior during the games at the festive gathering.""Topper is a character who participates in the dinner and seems to have an interest in one of Scrooge\'s niece\'s sisters.""Topper is a guest at the Christmas party, representing the jovial and festive spirit of the gathering with Fred and Scrooge.""Topper is a jovial character who participates in games and is known for his playful and somewhat roguish behavior during the festivities.""Topper is a member of Scrooge\'s Niece\'s social group, characterized by his playful manner and romantic interests, notably towards one of Scrooge\'s Niece\'s sisters.""Topper is one of Fred\'s friends who attends the Christmas gathering, contributing to the joyful atmosphere of the celebration.""Topper is a jovial character who participates in games and is known for his playful and somewhat roguish behavior during the festivities.""Topper is a member of Scrooge\'s Niece\'s social group, characterized by his playful manner and romantic interests, notably towards one of Scrooge\'s Niece\'s sisters.""Topper is one of Fred\'s friends who attends the Christmas gathering, contributing to the joyful atmosphere of the celebration.""Topper is a jovial character who participates in games and is known for his playful and somewhat roguish behavior during the festivities.""Topper is a member of Scrooge\'s Niece\'s social group, characterized by his playful manner and romantic interests, notably towards one of Scrooge\'s Niece\'s sisters.""Topper is one of Fred\'s friends who attends the Christmas gathering, contributing to the joyful atmosphere of the celebration."', 'source_id': 'chunk-43c9bee23adfa77aa9dedd22401bba7dchunk-94bea83e7153fc2064aa382b494936a1chunk-773d0df1dd25c356f7b771d780583e09'} +2024-10-30 05:53:16,474 - lightrag - INFO - get_node:query:MATCH (n:`SCROOGE'S NIECE'S SISTERS`) RETURN n:result:"Scrooge\'s Niece\'s Sisters are a part of the family gathering, expressing their opinions and adding to the lively atmosphere with their laughter and good humor.""Scrooge\'s Niece\'s Sisters are part of the family gathering, contributing to the lively atmosphere and expressing opinions about Scrooge."', 'source_id': 'chunk-773d0df1dd25c356f7b771d780583e09'}> +2024-10-30 05:53:16,610 - lightrag - INFO - _do_upsert:query: + MERGE (n:`SCROOGE'S NIECE'S SISTERS`) + SET n += $properties + RETURN n + :result:{'entity_type': '"PERSON"', 'description': '"Scrooge\'s Niece\'s Sisters are a part of the family gathering, expressing their opinions and adding to the lively atmosphere with their laughter and good humor.""Scrooge\'s Niece\'s Sisters are a part of the family gathering, expressing their opinions and adding to the lively atmosphere with their laughter and good humor.""Scrooge\'s Niece\'s Sisters are a part of the family gathering, expressing their opinions and adding to the lively atmosphere with their laughter and good humor.""Scrooge\'s Niece\'s Sisters are part of the family gathering, contributing to the lively atmosphere and expressing opinions about Scrooge."', 'source_id': 'chunk-773d0df1dd25c356f7b771d780583e09'} +2024-10-30 05:53:16,738 - lightrag - INFO - get_node:query:MATCH (n:`THE PLUMP SISTER`) RETURN n:result:"The Plump Sister is a character in the gathering who becomes the focus of Topper\'s playful advances during the games, contributing to the comedic aspects of the gathering.""The Plump Sister is depicted in a light-hearted and humorous context, illustrating the fun of Christmas gatherings.""The plump sister is a character involved in the games, specifically blind man\'s-buff, and captures Topper\'s attention during the festivities.""The Plump Sister is one of Scrooge\'s Niece\'s sisters, characterized by her bashfulness and her attempts to maintain decorum amidst the laughter.""The Plump Sister is one of Scrooge\'s Niece\'s sisters, characterized by her bashfulness and her attempts to maintain decorum amidst the laughter."', 'source_id': 'chunk-43c9bee23adfa77aa9dedd22401bba7dchunk-89777b838d5447c7bd1ec11282c4ee89chunk-773d0df1dd25c356f7b771d780583e09'}> +2024-10-30 05:53:16,903 - lightrag - INFO - _do_upsert:query: + MERGE (n:`THE PLUMP SISTER`) + SET n += $properties + RETURN n + :result:{'entity_type': '"PERSON"', 'description': '"The Plump Sister is a character in the gathering who becomes the focus of Topper\'s playful advances during the games, contributing to the comedic aspects of the gathering.""The Plump Sister is a character in the gathering who becomes the focus of Topper\'s playful advances during the games, contributing to the comedic aspects of the gathering.""The Plump Sister is a character in the gathering who becomes the focus of Topper\'s playful advances during the games, contributing to the comedic aspects of the gathering.""The Plump Sister is depicted in a light-hearted and humorous context, illustrating the fun of Christmas gatherings.""The plump sister is a character involved in the games, specifically blind man\'s-buff, and captures Topper\'s attention during the festivities.""The Plump Sister is one of Scrooge\'s Niece\'s sisters, characterized by her bashfulness and her attempts to maintain decorum amidst the laughter.""The Plump Sister is one of Scrooge\'s Niece\'s sisters, characterized by her bashfulness and her attempts to maintain decorum amidst the laughter.""The Plump Sister is one of Scrooge\'s Niece\'s sisters, characterized by her bashfulness and her attempts to maintain decorum amidst the laughter."', 'source_id': 'chunk-89777b838d5447c7bd1ec11282c4ee89chunk-43c9bee23adfa77aa9dedd22401bba7dchunk-773d0df1dd25c356f7b771d780583e09'} +2024-10-30 05:53:17,033 - lightrag - INFO - get_node:query:MATCH (n:`DINNER`) RETURN n:result: +2024-10-30 05:53:17,168 - lightrag - INFO - _do_upsert:query: + MERGE (n:`DINNER`) + SET n += $properties + RETURN n + :result:{'entity_type': '"EVENT"', 'description': '"Dinner is the festive meal that is shared among the characters, symbolizing the warmth of family and celebration that contrasts with Scrooge\'s isolated demeanor."', 'source_id': 'chunk-773d0df1dd25c356f7b771d780583e09'} +2024-10-30 05:53:17,296 - lightrag - INFO - get_node:query:MATCH (n:`MERRIMENT`) RETURN n:result:"Merriment embodies the joy and celebration associated with the holiday season and the gathering of family and friends in the narrative.""Merriment refers to the joyful and festive atmosphere that the characters aim to create, opposing Scrooge\'s jaded perspective on social gatherings.""Merriment refers to the joyful and festive atmosphere that the characters aim to create, opposing Scrooge\'s jaded perspective on social gatherings."', 'source_id': 'chunk-773d0df1dd25c356f7b771d780583e09chunk-e7637ff18c5ded77a68cce0a87883fad'}> +2024-10-30 05:53:17,436 - lightrag - INFO - _do_upsert:query: + MERGE (n:`MERRIMENT`) + SET n += $properties + RETURN n + :result:{'entity_type': '"CONCEPT"', 'description': '"Merriment embodies the joy and celebration associated with the holiday season and the gathering of family and friends in the narrative.""Merriment embodies the joy and celebration associated with the holiday season and the gathering of family and friends in the narrative.""Merriment embodies the joy and celebration associated with the holiday season and the gathering of family and friends in the narrative.""Merriment refers to the joyful and festive atmosphere that the characters aim to create, opposing Scrooge\'s jaded perspective on social gatherings.""Merriment refers to the joyful and festive atmosphere that the characters aim to create, opposing Scrooge\'s jaded perspective on social gatherings.""Merriment refers to the joyful and festive atmosphere that the characters aim to create, opposing Scrooge\'s jaded perspective on social gatherings."', 'source_id': 'chunk-e7637ff18c5ded77a68cce0a87883fadchunk-773d0df1dd25c356f7b771d780583e09'} +2024-10-30 05:53:17,562 - lightrag - INFO - get_node:query:MATCH (n:`BLIND MAN'S BUFF`) RETURN n:result: +2024-10-30 05:53:17,694 - lightrag - INFO - _do_upsert:query: + MERGE (n:`BLIND MAN'S BUFF`) + SET n += $properties + RETURN n + :result:{'entity_type': '"EVENT"', 'description': '"Blind Man\'s Buff is a traditional game played during the gathering, contributing to the festive atmosphere and interactions among the guests."', 'source_id': 'chunk-43c9bee23adfa77aa9dedd22401bba7d'} +2024-10-30 05:53:17,822 - lightrag - INFO - get_node:query:MATCH (n:`FORFEITS`) RETURN n:result:"Forfeits is another social game played by the characters, emphasizing the playful nature of their Christmas celebration.""Forfeits is another social game played by the characters, emphasizing the playful nature of their Christmas celebration."', 'source_id': 'chunk-43c9bee23adfa77aa9dedd22401bba7d'}> +2024-10-30 05:53:17,960 - lightrag - INFO - _do_upsert:query: + MERGE (n:`FORFEITS`) + SET n += $properties + RETURN n + :result:{'entity_type': '"EVENT"', 'description': '"Forfeits is another game played that allows participants to engage in fun activities, emphasizing the spirit of the gathering.""Forfeits is another social game played by the characters, emphasizing the playful nature of their Christmas celebration.""Forfeits is another social game played by the characters, emphasizing the playful nature of their Christmas celebration.""Forfeits is another social game played by the characters, emphasizing the playful nature of their Christmas celebration."', 'source_id': 'chunk-43c9bee23adfa77aa9dedd22401bba7d'} +2024-10-30 05:53:18,092 - lightrag - INFO - get_node:query:MATCH (n:`THE HARP`) RETURN n:result: +2024-10-30 05:53:18,226 - lightrag - INFO - _do_upsert:query: + MERGE (n:`THE HARP`) + SET n += $properties + RETURN n + :result:{'entity_type': '"TECHNOLOGY"', 'description': '"The Harp is a musical instrument played by Scrooge\'s niece, contributing to the evening\'s entertainment and illustrating the family\'s musical talents."', 'source_id': 'chunk-43c9bee23adfa77aa9dedd22401bba7d'} +2024-10-30 05:53:18,358 - lightrag - INFO - get_node:query:MATCH (n:`CHRISTMAS HOLIDAYS`) RETURN n:result:"Christmas Holidays signify a time for celebration, reflection, and reconciliation, playing a critical role in Scrooge\'s transformation.""The Christmas Holidays serve as a crucial backdrop for the narrative, representing themes of generosity, family, and redemption."', 'source_id': 'chunk-e7637ff18c5ded77a68cce0a87883fad'}> +2024-10-30 05:53:18,494 - lightrag - INFO - _do_upsert:query: + MERGE (n:`CHRISTMAS HOLIDAYS`) + SET n += $properties + RETURN n + :result:{'entity_type': '"EVENT"', 'description': '"Christmas Holidays signify a time for celebration, reflection, and reconciliation, playing a critical role in Scrooge\'s transformation.""Christmas Holidays signify a time for celebration, reflection, and reconciliation, playing a critical role in Scrooge\'s transformation.""Christmas Holidays signify a time for celebration, reflection, and reconciliation, playing a critical role in Scrooge\'s transformation.""The Christmas Holidays serve as a crucial backdrop for the narrative, representing themes of generosity, family, and redemption."', 'source_id': 'chunk-e7637ff18c5ded77a68cce0a87883fad'} +2024-10-30 05:53:18,621 - lightrag - INFO - get_node:query:MATCH (n:`IGNORANCE`) RETURN n:result:"Ignorance is personified as a boy that symbolizes the dangers of ignoring social issues and the consequences of a lack of awareness.""Ignorance personifies a societal failing, depicted as a child, warning of the dangers of neglect and moral responsibility.""Ignorance refers to one of the two children presented by the Spirit, symbolizing societal neglect and the consequences of lack of awareness.""Ignorance personifies a societal failing, depicted as a child, warning of the dangers of neglect and moral responsibility.""Ignorance refers to one of the two children presented by the Spirit, symbolizing societal neglect and the consequences of lack of awareness."', 'source_id': 'chunk-02baee20cc9463dbe08170a8e1043e32chunk-e7637ff18c5ded77a68cce0a87883fad'}> +2024-10-30 05:53:18,755 - lightrag - INFO - _do_upsert:query: + MERGE (n:`IGNORANCE`) + SET n += $properties + RETURN n + :result:{'entity_type': '"CONCEPT"', 'description': '"Ignorance is personified as a boy shown to Scrooge by the Spirit, representing a societal issue that appeals for attention and change.""Ignorance is personified as a boy that symbolizes the dangers of ignoring social issues and the consequences of a lack of awareness.""Ignorance personifies a societal failing, depicted as a child, warning of the dangers of neglect and moral responsibility.""Ignorance refers to one of the two children presented by the Spirit, symbolizing societal neglect and the consequences of lack of awareness.""Ignorance personifies a societal failing, depicted as a child, warning of the dangers of neglect and moral responsibility.""Ignorance refers to one of the two children presented by the Spirit, symbolizing societal neglect and the consequences of lack of awareness.""Ignorance personifies a societal failing, depicted as a child, warning of the dangers of neglect and moral responsibility.""Ignorance refers to one of the two children presented by the Spirit, symbolizing societal neglect and the consequences of lack of awareness."', 'source_id': 'chunk-02baee20cc9463dbe08170a8e1043e32chunk-e7637ff18c5ded77a68cce0a87883fad'} +2024-10-30 05:53:18,884 - lightrag - INFO - get_node:query:MATCH (n:`WANT`) RETURN n:result:"Want is represented as the second child shown by the Spirit, symbolizing the dire social conditions and needs of the impoverished.""Want represents another societal failing, portrayed as a girl, symbolizing deprivation and yearning for basic needs.""Want is represented as the second child shown by the Spirit, symbolizing the dire social conditions and needs of the impoverished.""Want represents another societal failing, portrayed as a girl, symbolizing deprivation and yearning for basic needs."', 'source_id': 'chunk-02baee20cc9463dbe08170a8e1043e32chunk-e7637ff18c5ded77a68cce0a87883fad'}> +2024-10-30 05:53:19,019 - lightrag - INFO - _do_upsert:query: + MERGE (n:`WANT`) + SET n += $properties + RETURN n + :result:{'entity_type': '"CONCEPT"', 'description': '"Want is depicted as a girl, representing the consequences of poverty and desire in society, warning against neglecting these issues.""Want is represented as the second child shown by the Spirit, symbolizing the dire social conditions and needs of the impoverished.""Want represents another societal failing, portrayed as a girl, symbolizing deprivation and yearning for basic needs.""Want is represented as the second child shown by the Spirit, symbolizing the dire social conditions and needs of the impoverished.""Want represents another societal failing, portrayed as a girl, symbolizing deprivation and yearning for basic needs.""Want is represented as the second child shown by the Spirit, symbolizing the dire social conditions and needs of the impoverished.""Want represents another societal failing, portrayed as a girl, symbolizing deprivation and yearning for basic needs."', 'source_id': 'chunk-02baee20cc9463dbe08170a8e1043e32chunk-e7637ff18c5ded77a68cce0a87883fad'} +2024-10-30 05:53:19,150 - lightrag - INFO - get_node:query:MATCH (n:`ALMS HOUSE`) RETURN n:result: +2024-10-30 05:53:19,284 - lightrag - INFO - _do_upsert:query: + MERGE (n:`ALMS HOUSE`) + SET n += $properties + RETURN n + :result:{'entity_type': '"ORGANIZATION"', 'description': '"Alms House refers to a charitable institution visited by the Spirit, where the poor receive support and care."', 'source_id': 'chunk-e7637ff18c5ded77a68cce0a87883fad'} +2024-10-30 05:53:19,414 - lightrag - INFO - get_node:query:MATCH (n:`HOSPITAL`) RETURN n:result:"Hospital signifies a place of healing and care, visited by the Spirit in the story.""The Hospital represents a location of care and compassion, highlighting the human condition and the need for kindness."', 'source_id': 'chunk-e7637ff18c5ded77a68cce0a87883fad'}> +2024-10-30 05:53:19,550 - lightrag - INFO - _do_upsert:query: + MERGE (n:`HOSPITAL`) + SET n += $properties + RETURN n + :result:{'entity_type': '"ORGANIZATION"', 'description': '"Hospital signifies a place of healing and care, visited by the Spirit in the story.""Hospital signifies a place of healing and care, visited by the Spirit in the story.""Hospital signifies a place of healing and care, visited by the Spirit in the story.""The Hospital represents a location of care and compassion, highlighting the human condition and the need for kindness."', 'source_id': 'chunk-e7637ff18c5ded77a68cce0a87883fad'} +2024-10-30 05:53:19,680 - lightrag - INFO - get_node:query:MATCH (n:`GAOL`) RETURN n:result:"Gaol refers to a prison, illustrating the theme of social justice and the conditions of the impoverished in society.""The Gaol symbolizes imprisonment and despair, representing the societal failings and the need for mercy and understanding."', 'source_id': 'chunk-e7637ff18c5ded77a68cce0a87883fad'}> +2024-10-30 05:53:19,815 - lightrag - INFO - _do_upsert:query: + MERGE (n:`GAOL`) + SET n += $properties + RETURN n + :result:{'entity_type': '"ORGANIZATION"', 'description': '"Gaol refers to a prison, illustrating the theme of social justice and the conditions of the impoverished in society.""Gaol refers to a prison, illustrating the theme of social justice and the conditions of the impoverished in society.""Gaol refers to a prison, illustrating the theme of social justice and the conditions of the impoverished in society.""The Gaol symbolizes imprisonment and despair, representing the societal failings and the need for mercy and understanding."', 'source_id': 'chunk-e7637ff18c5ded77a68cce0a87883fad'} +2024-10-30 05:53:19,946 - lightrag - INFO - get_node:query:MATCH (n:`TWELFTH NIGHT`) RETURN n:result: +2024-10-30 05:53:20,080 - lightrag - INFO - _do_upsert:query: + MERGE (n:`TWELFTH NIGHT`) + SET n += $properties + RETURN n + :result:{'entity_type': '"EVENT"', 'description': '"Twelfth Night is a festive occasion celebrated in the story, showcasing family gatherings and merriment during the holiday season."', 'source_id': 'chunk-e7637ff18c5ded77a68cce0a87883fad'} +2024-10-30 05:53:20,210 - lightrag - INFO - get_node:query:MATCH (n:`MULLED WINE`) RETURN n:result:"Mulled Wine is a festive drink mentioned in the context of celebration during the Christmas gathering.""Mulled Wine symbolizes warmth and cheer, often associated with celebrations during the holiday season, particularly in the context of family gatherings."', 'source_id': 'chunk-e7637ff18c5ded77a68cce0a87883fad'}> +2024-10-30 05:53:20,346 - lightrag - INFO - _do_upsert:query: + MERGE (n:`MULLED WINE`) + SET n += $properties + RETURN n + :result:{'entity_type': '"EVENT"', 'description': '"Mulled Wine is a festive drink mentioned in the context of celebration during the Christmas gathering.""Mulled Wine is a festive drink mentioned in the context of celebration during the Christmas gathering.""Mulled Wine is a festive drink mentioned in the context of celebration during the Christmas gathering.""Mulled Wine symbolizes warmth and cheer, often associated with celebrations during the holiday season, particularly in the context of family gatherings."', 'source_id': 'chunk-e7637ff18c5ded77a68cce0a87883fad'} +2024-10-30 05:53:20,477 - lightrag - INFO - get_node:query:MATCH (n:`PHANTOM`) RETURN n:result: +2024-10-30 05:53:20,611 - lightrag - INFO - _do_upsert:query: + MERGE (n:`PHANTOM`) + SET n += $properties + RETURN n + :result:{'entity_type': '"ORGANIZATION"', 'description': '"The Phantom is a representation of death and the unknown future, appearing to Scrooge with a mysterious and intimidating presence."', 'source_id': 'chunk-02baee20cc9463dbe08170a8e1043e32'} +2024-10-30 05:53:20,736 - lightrag - INFO - get_node:query:MATCH (n:`BUSINESS MEN`) RETURN n:result: +2024-10-30 05:53:20,873 - lightrag - INFO - _do_upsert:query: + MERGE (n:`BUSINESS MEN`) + SET n += $properties + RETURN n + :result:{'entity_type': '"ORGANIZATION"', 'description': '"The business men are a group discussing Scrooge\'s death, reflecting society\'s indifference and the consequential nature of wealth."', 'source_id': 'chunk-02baee20cc9463dbe08170a8e1043e32'} +2024-10-30 05:53:21,002 - lightrag - INFO - get_node:query:MATCH (n:`THE DEAD MAN`) RETURN n:result:"The Dead man is the subject of discussion among the business men, representing Scrooge himself and the consequences of his life.""The Dead man is the subject of discussion among the business men, representing Scrooge himself and the consequences of his life."', 'source_id': 'chunk-60fc063c79fc0d4acc91a57e79de04dcchunk-02baee20cc9463dbe08170a8e1043e32'}> +2024-10-30 05:53:21,138 - lightrag - INFO - _do_upsert:query: + MERGE (n:`THE DEAD MAN`) + SET n += $properties + RETURN n + :result:{'entity_type': '"PERSON"', 'description': '"The Dead Man is mentioned as the previous owner of the items being appraised, embodying the consequences of greed and isolation.""The Dead man is the subject of discussion among the business men, representing Scrooge himself and the consequences of his life.""The Dead man is the subject of discussion among the business men, representing Scrooge himself and the consequences of his life.""The Dead man is the subject of discussion among the business men, representing Scrooge himself and the consequences of his life."', 'source_id': 'chunk-02baee20cc9463dbe08170a8e1043e32chunk-60fc063c79fc0d4acc91a57e79de04dc'} +2024-10-30 05:53:21,268 - lightrag - INFO - get_node:query:MATCH (n:`JACOB`) RETURN n:result:"Jacob is Scrooge\'s old partner whose death is acknowledged, influencing Scrooge\'s reflections on his own life and future.""Jacob is referenced as Scrooge\'s old partner, significant for his recent death and the impact of this event on Scrooge\'s reflections."', 'source_id': 'chunk-f1a4fbcf1ed86864b9bfd5e8dba4c683'}> +2024-10-30 05:53:21,403 - lightrag - INFO - _do_upsert:query: + MERGE (n:`JACOB`) + SET n += $properties + RETURN n + :result:{'entity_type': '"PERSON"', 'description': '"Jacob is Scrooge\'s old partner whose death is acknowledged, influencing Scrooge\'s reflections on his own life and future.""Jacob is Scrooge\'s old partner whose death is acknowledged, influencing Scrooge\'s reflections on his own life and future.""Jacob is Scrooge\'s old partner whose death is acknowledged, influencing Scrooge\'s reflections on his own life and future.""Jacob is referenced as Scrooge\'s old partner, significant for his recent death and the impact of this event on Scrooge\'s reflections."', 'source_id': 'chunk-f1a4fbcf1ed86864b9bfd5e8dba4c683'} +2024-10-30 05:53:21,533 - lightrag - INFO - get_node:query:MATCH (n:`THE TOWN`) RETURN n:result: +2024-10-30 05:53:21,662 - lightrag - INFO - _do_upsert:query: + MERGE (n:`THE TOWN`) + SET n += $properties + RETURN n + :result:{'entity_type': '"GEO"', 'description': '"The Town is depicted as an obscure and morally degraded area contrasting with the lively scenes, indicating deep societal issues."', 'source_id': 'chunk-f1a4fbcf1ed86864b9bfd5e8dba4c683'} +2024-10-30 05:53:21,788 - lightrag - INFO - get_node:query:MATCH (n:`THE LOW-BROWED SHOP`) RETURN n:result:"The Low-Browed Shop is a grim establishment in the town dealing in various unwanted goods, representing decay and desperation.""The Low-Browed Shop is a setting that symbolizes neglect and degradation, filled with discarded items and representing societal decay."', 'source_id': 'chunk-f1a4fbcf1ed86864b9bfd5e8dba4c683'}> +2024-10-30 05:53:21,923 - lightrag - INFO - _do_upsert:query: + MERGE (n:`THE LOW-BROWED SHOP`) + SET n += $properties + RETURN n + :result:{'entity_type': '"ORGANIZATION"', 'description': '"The Low-Browed Shop is a grim establishment in the town dealing in various unwanted goods, representing decay and desperation.""The Low-Browed Shop is a grim establishment in the town dealing in various unwanted goods, representing decay and desperation.""The Low-Browed Shop is a grim establishment in the town dealing in various unwanted goods, representing decay and desperation.""The Low-Browed Shop is a setting that symbolizes neglect and degradation, filled with discarded items and representing societal decay."', 'source_id': 'chunk-f1a4fbcf1ed86864b9bfd5e8dba4c683'} +2024-10-30 05:53:22,054 - lightrag - INFO - get_node:query:MATCH (n:`RED-FACED GENTLEMAN`) RETURN n:result: +2024-10-30 05:53:22,188 - lightrag - INFO - _do_upsert:query: + MERGE (n:`RED-FACED GENTLEMAN`) + SET n += $properties + RETURN n + :result:{'entity_type': '"PERSON"', 'description': '"The Red-faced Gentleman is a character who humorously discusses the potential nature of a cheap funeral at the gathering."', 'source_id': 'chunk-f1a4fbcf1ed86864b9bfd5e8dba4c683'} +2024-10-30 05:53:22,316 - lightrag - INFO - get_node:query:MATCH (n:`GENTLEMAN WITH THE EXCRESCENCE`) RETURN n:result: +2024-10-30 05:53:22,455 - lightrag - INFO - _do_upsert:query: + MERGE (n:`GENTLEMAN WITH THE EXCRESCENCE`) + SET n += $properties + RETURN n + :result:{'entity_type': '"PERSON"', 'description': '"The Gentleman with the Excrescence is characterized by a physical trait and provides humorous remarks about attending a funeral."', 'source_id': 'chunk-f1a4fbcf1ed86864b9bfd5e8dba4c683'} +2024-10-30 05:53:22,583 - lightrag - INFO - get_node:query:MATCH (n:`OLD SCRATCH`) RETURN n:result:"Old Scratch is a colloquial term used in reference to the devil, indicating a grim context in discussions about death.""Old Scratch is mentioned as a figure related to the conversation, symbolizing mischief and humor."', 'source_id': 'chunk-f1a4fbcf1ed86864b9bfd5e8dba4c683chunk-89777b838d5447c7bd1ec11282c4ee89'}> +2024-10-30 05:53:22,720 - lightrag - INFO - _do_upsert:query: + MERGE (n:`OLD SCRATCH`) + SET n += $properties + RETURN n + :result:{'entity_type': '"CONCEPT"', 'description': '"Old Scratch is a colloquial term used in reference to the devil, indicating a grim context in discussions about death.""Old Scratch is a colloquial term used in reference to the devil, indicating a grim context in discussions about death.""Old Scratch is a colloquial term used in reference to the devil, indicating a grim context in discussions about death.""Old Scratch is mentioned as a figure related to the conversation, symbolizing mischief and humor."', 'source_id': 'chunk-f1a4fbcf1ed86864b9bfd5e8dba4c683chunk-89777b838d5447c7bd1ec11282c4ee89'} +2024-10-30 05:53:22,848 - lightrag - INFO - get_node:query:MATCH (n:`THE MEETING`) RETURN n:result: +2024-10-30 05:53:22,981 - lightrag - INFO - _do_upsert:query: + MERGE (n:`THE MEETING`) + SET n += $properties + RETURN n + :result:{'entity_type': '"EVENT"', 'description': '"The Meeting is characterized by light-hearted banter among characters regarding the funeral and their connections to the deceased."', 'source_id': 'chunk-f1a4fbcf1ed86864b9bfd5e8dba4c683'} +2024-10-30 05:53:23,112 - lightrag - INFO - get_node:query:MATCH (n:`THE PHANTOM`) RETURN n:result:"The Phantom represents a ghostly presence guiding Scrooge through reflections on his life and future decisions.""The Phantom represents the supernatural element in Scrooge\'s journey of self-reflection and moral awakening."', 'source_id': 'chunk-f1a4fbcf1ed86864b9bfd5e8dba4c683'}> +2024-10-30 05:53:23,246 - lightrag - INFO - _do_upsert:query: + MERGE (n:`THE PHANTOM`) + SET n += $properties + RETURN n + :result:{'entity_type': '"ORGANIZATION"', 'description': '"The Phantom represents a ghostly presence guiding Scrooge through reflections on his life and future decisions.""The Phantom represents a ghostly presence guiding Scrooge through reflections on his life and future decisions.""The Phantom represents a ghostly presence guiding Scrooge through reflections on his life and future decisions.""The Phantom represents the supernatural element in Scrooge\'s journey of self-reflection and moral awakening."', 'source_id': 'chunk-f1a4fbcf1ed86864b9bfd5e8dba4c683'} +2024-10-30 05:53:23,378 - lightrag - INFO - get_node:query:MATCH (n:`THE QUARTER`) RETURN n:result: +2024-10-30 05:53:23,520 - lightrag - INFO - _do_upsert:query: + MERGE (n:`THE QUARTER`) + SET n += $properties + RETURN n + :result:{'entity_type': '"GEO"', 'description': '"The Quarter is a depiction of an impoverished and crime-ridden area of the town, emphasizing societal neglect."', 'source_id': 'chunk-f1a4fbcf1ed86864b9bfd5e8dba4c683'} +2024-10-30 05:53:23,648 - lightrag - INFO - get_node:query:MATCH (n:`THE COAL SHOP`) RETURN n:result: +2024-10-30 05:53:23,779 - lightrag - INFO - _do_upsert:query: + MERGE (n:`THE COAL SHOP`) + SET n += $properties + RETURN n + :result:{'entity_type': '"ORGANIZATION"', 'description': '"The Coal Shop is a den of lowly transactions that signifies the harsh living conditions experienced by the characters in the quarter."', 'source_id': 'chunk-f1a4fbcf1ed86864b9bfd5e8dba4c683'} +2024-10-30 05:53:23,908 - lightrag - INFO - get_node:query:MATCH (n:`MISCELLANEOUS TATTERS`) RETURN n:result: +2024-10-30 05:53:24,043 - lightrag - INFO - _do_upsert:query: + MERGE (n:`MISCELLANEOUS TATTERS`) + SET n += $properties + RETURN n + :result:{'entity_type': '"CONCEPT"', 'description': '"Miscellaneous Tatters symbolize the shabby and worn conditions surrounding the characters in the Low-Browed Shop."', 'source_id': 'chunk-f1a4fbcf1ed86864b9bfd5e8dba4c683'} +2024-10-30 05:53:24,170 - lightrag - INFO - get_node:query:MATCH (n:`THE CHARCOAL STOVE`) RETURN n:result: +2024-10-30 05:53:24,306 - lightrag - INFO - _do_upsert:query: + MERGE (n:`THE CHARCOAL STOVE`) + SET n += $properties + RETURN n + :result:{'entity_type': '"TECHNOLOGY"', 'description': '"The Charcoal Stove is a humble source of warmth within the Low-Browed Shop, indicative of the bleak environment."', 'source_id': 'chunk-f1a4fbcf1ed86864b9bfd5e8dba4c683'} +2024-10-30 05:53:24,435 - lightrag - INFO - get_node:query:MATCH (n:`OLD JOE`) RETURN n:result:"Old Joe is a grey-haired man who runs a shop where people come to sell their belongings after a death, embodying a rough, pragmatic character.""Old Joe is a grey-haired man, nearly seventy years old, who runs a shop and conducts business in a rather nonchalant manner, showcasing a certain charm amidst his questionable dealings."', 'source_id': 'chunk-60fc063c79fc0d4acc91a57e79de04dc'}> +2024-10-30 05:53:24,569 - lightrag - INFO - _do_upsert:query: + MERGE (n:`OLD JOE`) + SET n += $properties + RETURN n + :result:{'entity_type': '"PERSON"', 'description': '"Old Joe is a grey-haired man who runs a shop where people come to sell their belongings after a death, embodying a rough, pragmatic character.""Old Joe is a grey-haired man who runs a shop where people come to sell their belongings after a death, embodying a rough, pragmatic character.""Old Joe is a grey-haired man who runs a shop where people come to sell their belongings after a death, embodying a rough, pragmatic character.""Old Joe is a grey-haired man, nearly seventy years old, who runs a shop and conducts business in a rather nonchalant manner, showcasing a certain charm amidst his questionable dealings."', 'source_id': 'chunk-60fc063c79fc0d4acc91a57e79de04dc'} +2024-10-30 05:53:24,696 - lightrag - INFO - get_node:query:MATCH (n:`MRS. DILBER`) RETURN n:result:"Mrs. Dilber is a laundress who participates in the gathering, commenting on the morality of their actions with a laugh.""Mrs. Dilber is a laundress who participates in the gathering, commenting on the morality of their actions with a laugh."', 'source_id': 'chunk-60fc063c79fc0d4acc91a57e79de04dc'}> +2024-10-30 05:53:24,832 - lightrag - INFO - _do_upsert:query: + MERGE (n:`MRS. DILBER`) + SET n += $properties + RETURN n + :result:{'entity_type': '"PERSON"', 'description': '"Mrs. Dilber is a laundress who is involved in the discussion about the belongings they are handling, exhibiting a pragmatic attitude towards the situation.""Mrs. Dilber is a laundress who participates in the gathering, commenting on the morality of their actions with a laugh.""Mrs. Dilber is a laundress who participates in the gathering, commenting on the morality of their actions with a laugh.""Mrs. Dilber is a laundress who participates in the gathering, commenting on the morality of their actions with a laugh."', 'source_id': 'chunk-60fc063c79fc0d4acc91a57e79de04dc'} +2024-10-30 05:53:24,963 - lightrag - INFO - get_node:query:MATCH (n:`THE MAN IN FADED BLACK`) RETURN n:result: +2024-10-30 05:53:25,096 - lightrag - INFO - _do_upsert:query: + MERGE (n:`THE MAN IN FADED BLACK`) + SET n += $properties + RETURN n + :result:{'entity_type': '"PERSON"', 'description': '"The Man in Faded Black is a character who, echoing the sentiments of the others, reveals his modest haul of stolen goods during the gathering."', 'source_id': 'chunk-60fc063c79fc0d4acc91a57e79de04dc'} +2024-10-30 05:53:25,225 - lightrag - INFO - get_node:query:MATCH (n:`THE SHOP`) RETURN n:result:"The Shop is a setting where characters gather to appraise items they have taken from the deceased, reflecting their attitudes towards death and morality.""The Shop is a setting where characters gather to appraise items they have taken from the deceased, reflecting their attitudes towards death and morality."', 'source_id': 'chunk-60fc063c79fc0d4acc91a57e79de04dc'}> +2024-10-30 05:53:25,359 - lightrag - INFO - _do_upsert:query: + MERGE (n:`THE SHOP`) + SET n += $properties + RETURN n + :result:{'entity_type': '"ORGANIZATION"', 'description': '"The Shop is Old Joe\'s place of business and serves as the meeting location for the characters, where they evaluate and exchange stolen items.""The Shop is a setting where characters gather to appraise items they have taken from the deceased, reflecting their attitudes towards death and morality.""The Shop is a setting where characters gather to appraise items they have taken from the deceased, reflecting their attitudes towards death and morality.""The Shop is a setting where characters gather to appraise items they have taken from the deceased, reflecting their attitudes towards death and morality."', 'source_id': 'chunk-60fc063c79fc0d4acc91a57e79de04dc'} +2024-10-30 05:53:25,491 - lightrag - INFO - get_node:query:MATCH (n:`THE BUNDLE`) RETURN n:result:"The Bundle contains the belongings of the deceased man, which serve as a focal point for discussion among the characters regarding value and morality.""The Bundle refers to the collection of stolen items brought by the characters to Old Joe\'s shop for appraisal, symbolizing their actions post-death.""The Bundle refers to the collection of stolen items that the characters present to Old Joe for appraisal.""The Bundle refers to the collection of stolen items brought by the characters to Old Joe\'s shop for appraisal, symbolizing their actions post-death."', 'source_id': 'chunk-60fc063c79fc0d4acc91a57e79de04dcchunk-e1f29eeadc1d8ab46dc8a0bbd3c56b64'}> +2024-10-30 05:53:25,626 - lightrag - INFO - _do_upsert:query: + MERGE (n:`THE BUNDLE`) + SET n += $properties + RETURN n + :result:{'entity_type': '"EVENT"', 'description': '"The Bundle contains the belongings of the deceased man, which serve as a focal point for discussion among the characters regarding value and morality.""The Bundle contains the belongings of the deceased man, which serve as a focal point for discussion among the characters regarding value and morality.""The Bundle contains the belongings of the deceased man, which serve as a focal point for discussion among the characters regarding value and morality.""The Bundle refers to the collection of stolen items brought by the characters to Old Joe\'s shop for appraisal, symbolizing their actions post-death.""The Bundle refers to the collection of stolen items that the characters present to Old Joe for appraisal.""The Bundle refers to the collection of stolen items brought by the characters to Old Joe\'s shop for appraisal, symbolizing their actions post-death.""The Bundle refers to the collection of stolen items brought by the characters to Old Joe\'s shop for appraisal, symbolizing their actions post-death."', 'source_id': 'chunk-60fc063c79fc0d4acc91a57e79de04dcchunk-e1f29eeadc1d8ab46dc8a0bbd3c56b64'} +2024-10-30 05:53:25,751 - lightrag - INFO - get_node:query:MATCH (n:`THE DEATH`) RETURN n:result: +2024-10-30 05:53:25,899 - lightrag - INFO - _do_upsert:query: + MERGE (n:`THE DEATH`) + SET n += $properties + RETURN n + :result:{'entity_type': '"EVENT"', 'description': '"The Death signifies the passing of a man whose belongings are being appraised, influencing the motivations and actions of the characters."', 'source_id': 'chunk-60fc063c79fc0d4acc91a57e79de04dc'} +2024-10-30 05:53:26,032 - lightrag - INFO - get_node:query:MATCH (n:`THE STOLEN GOODS`) RETURN n:result: +2024-10-30 05:53:26,166 - lightrag - INFO - _do_upsert:query: + MERGE (n:`THE STOLEN GOODS`) + SET n += $properties + RETURN n + :result:{'entity_type': '"EVENT"', 'description': '"The Stolen Goods are the items that the characters bring to Old Joe for evaluation, highlighting their moral stance and the circumstances surrounding the death."', 'source_id': 'chunk-60fc063c79fc0d4acc91a57e79de04dc'} +2024-10-30 05:53:26,291 - lightrag - INFO - get_node:query:MATCH (n:`THE ACCUSATION`) RETURN n:result: +2024-10-30 05:53:26,428 - lightrag - INFO - _do_upsert:query: + MERGE (n:`THE ACCUSATION`) + SET n += $properties + RETURN n + :result:{'entity_type': '"EVENT"', 'description': '"The Accusation refers to the implied judgement of the deceased\'s character that the characters discuss while evaluating their actions."', 'source_id': 'chunk-60fc063c79fc0d4acc91a57e79de04dc'} +2024-10-30 05:53:26,555 - lightrag - INFO - get_node:query:MATCH (n:`THE PARLOUR`) RETURN n:result: +2024-10-30 05:53:26,690 - lightrag - INFO - _do_upsert:query: + MERGE (n:`THE PARLOUR`) + SET n += $properties + RETURN n + :result:{'entity_type': '"LOCATION"', 'description': '"The Parlour is the private space behind the shop curtain where the characters engage in conversation and appraisal, symbolizing a shift from public to private."', 'source_id': 'chunk-60fc063c79fc0d4acc91a57e79de04dc'} +2024-10-30 05:53:26,819 - lightrag - INFO - get_node:query:MATCH (n:`THE RAGS`) RETURN n:result: +2024-10-30 05:53:26,954 - lightrag - INFO - _do_upsert:query: + MERGE (n:`THE RAGS`) + SET n += $properties + RETURN n + :result:{'entity_type': '"CONCEPT"', 'description': '"The Rags serve as a metaphor for the characters\' grim circumstances and the societal implications of their gathering, accentuating the theme of decay and neglect."', 'source_id': 'chunk-60fc063c79fc0d4acc91a57e79de04dc'} +2024-10-30 05:53:27,082 - lightrag - INFO - get_node:query:MATCH (n:`THE COLD AIR`) RETURN n:result: +2024-10-30 05:53:27,217 - lightrag - INFO - _do_upsert:query: + MERGE (n:`THE COLD AIR`) + SET n += $properties + RETURN n + :result:{'entity_type': '"CONCEPT"', 'description': '"The Cold Air symbolizes the harsh realities surrounding the characters and their actions, emphasizing the atmosphere of deprivation."', 'source_id': 'chunk-60fc063c79fc0d4acc91a57e79de04dc'} +2024-10-30 05:53:27,345 - lightrag - INFO - get_node:query:MATCH (n:`JUDGMENT`) RETURN n:result: +2024-10-30 05:53:27,481 - lightrag - INFO - _do_upsert:query: + MERGE (n:`JUDGMENT`) + SET n += $properties + RETURN n + :result:{'entity_type': '"CONCEPT"', 'description': '"Judgment here refers to the characters\' reflections on morality regarding their actions after the death, questioning societal norms and individual ethics."', 'source_id': 'chunk-60fc063c79fc0d4acc91a57e79de04dc'} +2024-10-30 05:53:27,611 - lightrag - INFO - get_node:query:MATCH (n:`THE LAUGHTER`) RETURN n:result: +2024-10-30 05:53:27,742 - lightrag - INFO - _do_upsert:query: + MERGE (n:`THE LAUGHTER`) + SET n += $properties + RETURN n + :result:{'entity_type': '"EVENT"', 'description': '"The Laughter represents a shared moment among the characters that highlights their camaraderie in the struggle against their grim realities."', 'source_id': 'chunk-60fc063c79fc0d4acc91a57e79de04dc'} +2024-10-30 05:53:27,911 - lightrag - INFO - get_node:query:MATCH (n:`THE DECEASED MAN`) RETURN n:result: +2024-10-30 05:53:28,044 - lightrag - INFO - _do_upsert:query: + MERGE (n:`THE DECEASED MAN`) + SET n += $properties + RETURN n + :result:{'entity_type': '"PERSON"', 'description': '"The Deceased Man is a character whose belongings are being discussed and whose death prompts reactions of horror and contemplation from Scrooge."', 'source_id': 'chunk-e1f29eeadc1d8ab46dc8a0bbd3c56b64'} +2024-10-30 05:53:28,168 - lightrag - INFO - get_node:query:MATCH (n:`DEATH`) RETURN n:result:"Death is described as a powerful force in the narrative, represented through the imagery of a cold, rigid presence and the contemplation of mortality.""Death refers to the passing of a character that triggers a range of emotions and reflections among the living, influencing their lives and relationships.""Death is depicted as a cold, inevitable force, prompting reflections on the value of life and the consequences of avarice.""Death is depicted as a cold, inevitable force, prompting reflections on the value of life and the consequences of avarice."', 'source_id': 'chunk-02baee20cc9463dbe08170a8e1043e32chunk-83ac129dc9b56f84c46760d153d68e93chunk-e1f29eeadc1d8ab46dc8a0bbd3c56b64'}> +2024-10-30 05:53:28,302 - lightrag - INFO - _do_upsert:query: + MERGE (n:`DEATH`) + SET n += $properties + RETURN n + :result:{'entity_type': '"CONCEPT"', 'description': '"Death in the story is a significant event that triggers discussion among the Businessmen and prompts Scrooge\'s reflections.""Death is described as a powerful force in the narrative, represented through the imagery of a cold, rigid presence and the contemplation of mortality.""Death refers to the passing of a character that triggers a range of emotions and reflections among the living, influencing their lives and relationships.""Death is depicted as a cold, inevitable force, prompting reflections on the value of life and the consequences of avarice.""Death is depicted as a cold, inevitable force, prompting reflections on the value of life and the consequences of avarice.""Death is depicted as a cold, inevitable force, prompting reflections on the value of life and the consequences of avarice."', 'source_id': 'chunk-02baee20cc9463dbe08170a8e1043e32chunk-83ac129dc9b56f84c46760d153d68e93chunk-e1f29eeadc1d8ab46dc8a0bbd3c56b64'} +2024-10-30 05:53:28,429 - lightrag - INFO - get_node:query:MATCH (n:`THE BED`) RETURN n:result:"The Bed represents a significant scene where the deceased man\'s body is laid, evoking deep emotions and realizations about life and morality.""The Bed represents a significant scene where the deceased man\'s body is laid, evoking deep emotions and realizations about life and morality."', 'source_id': 'chunk-e1f29eeadc1d8ab46dc8a0bbd3c56b64'}> +2024-10-30 05:53:28,563 - lightrag - INFO - _do_upsert:query: + MERGE (n:`THE BED`) + SET n += $properties + RETURN n + :result:{'entity_type': '"EVENT"', 'description': '"The Bed represents a central object in the scene, symbolizing the final resting place of The Deceased and contributing to the themes of mortality and neglect.""The Bed represents a significant scene where the deceased man\'s body is laid, evoking deep emotions and realizations about life and morality.""The Bed represents a significant scene where the deceased man\'s body is laid, evoking deep emotions and realizations about life and morality.""The Bed represents a significant scene where the deceased man\'s body is laid, evoking deep emotions and realizations about life and morality."', 'source_id': 'chunk-e1f29eeadc1d8ab46dc8a0bbd3c56b64'} +2024-10-30 05:53:28,695 - lightrag - INFO - get_node:query:MATCH (n:`THE BLANKETS`) RETURN n:result:"The Blankets are associated with the deceased man\'s body, symbolizing care and the human connection to the dead.""The Blankets are discussed in the context of the deceased\'s possessions, highlighting themes of care and abandonment after death."', 'source_id': 'chunk-e1f29eeadc1d8ab46dc8a0bbd3c56b64'}> +2024-10-30 05:53:28,824 - lightrag - INFO - _do_upsert:query: + MERGE (n:`THE BLANKETS`) + SET n += $properties + RETURN n + :result:{'entity_type': '"CONCEPT"', 'description': '"The Blankets are associated with the deceased man\'s body, symbolizing care and the human connection to the dead.""The Blankets are associated with the deceased man\'s body, symbolizing care and the human connection to the dead.""The Blankets are associated with the deceased man\'s body, symbolizing care and the human connection to the dead.""The Blankets are discussed in the context of the deceased\'s possessions, highlighting themes of care and abandonment after death."', 'source_id': 'chunk-e1f29eeadc1d8ab46dc8a0bbd3c56b64'} +2024-10-30 05:53:28,950 - lightrag - INFO - get_node:query:MATCH (n:`THE OIL`) RETURN n:result: +2024-10-30 05:53:29,085 - lightrag - INFO - _do_upsert:query: + MERGE (n:`THE OIL`) + SET n += $properties + RETURN n + :result:{'entity_type': '"CONCEPT"', 'description': '"The Oil is a material that the woman is cautious about spilling, representing the practical and sometimes distasteful attitude towards the deceased\'s belongings."', 'source_id': 'chunk-e1f29eeadc1d8ab46dc8a0bbd3c56b64'} +2024-10-30 05:53:29,209 - lightrag - INFO - get_node:query:MATCH (n:`THE SHIRT`) RETURN n:result: +2024-10-30 05:53:29,345 - lightrag - INFO - _do_upsert:query: + MERGE (n:`THE SHIRT`) + SET n += $properties + RETURN n + :result:{'entity_type': '"CONCEPT"', 'description': '"The Shirt belonged to the deceased man and is evaluated by the woman who claims it is in good condition, further emphasizing her pragmatic approach to death."', 'source_id': 'chunk-e1f29eeadc1d8ab46dc8a0bbd3c56b64'} +2024-10-30 05:53:29,472 - lightrag - INFO - get_node:query:MATCH (n:`THE FLANNEL BAG`) RETURN n:result:"The Flannel Bag is used by Joe to show the money gained from their dealings with the deceased, highlighting the theme of profit from death.""The Flannel Bag is used by Joe to show the money gained from their dealings with the deceased, highlighting the theme of profit from death."', 'source_id': 'chunk-e1f29eeadc1d8ab46dc8a0bbd3c56b64'}> +2024-10-30 05:53:29,608 - lightrag - INFO - _do_upsert:query: + MERGE (n:`THE FLANNEL BAG`) + SET n += $properties + RETURN n + :result:{'entity_type': '"CONCEPT"', 'description': '"The Flannel Bag contains money and symbolizes the materialistic aspects of life and the relationships surrounding The Deceased’s possessions.""The Flannel Bag is used by Joe to show the money gained from their dealings with the deceased, highlighting the theme of profit from death.""The Flannel Bag is used by Joe to show the money gained from their dealings with the deceased, highlighting the theme of profit from death.""The Flannel Bag is used by Joe to show the money gained from their dealings with the deceased, highlighting the theme of profit from death."', 'source_id': 'chunk-e1f29eeadc1d8ab46dc8a0bbd3c56b64'} +2024-10-30 05:53:29,735 - lightrag - INFO - get_node:query:MATCH (n:`OLD MAN'S LAMP`) RETURN n:result: +2024-10-30 05:53:29,866 - lightrag - INFO - _do_upsert:query: + MERGE (n:`OLD MAN'S LAMP`) + SET n += $properties + RETURN n + :result:{'entity_type': '"CONCEPT"', 'description': '"The Old Man\'s Lamp provides scant light in the scene, contributing to the mood of tension and eeriness surrounding the deceased."', 'source_id': 'chunk-e1f29eeadc1d8ab46dc8a0bbd3c56b64'} +2024-10-30 05:53:29,994 - lightrag - INFO - get_node:query:MATCH (n:`THE CORPSE`) RETURN n:result: +2024-10-30 05:53:30,121 - lightrag - INFO - _do_upsert:query: + MERGE (n:`THE CORPSE`) + SET n += $properties + RETURN n + :result:{'entity_type': '"PERSON"', 'description': '"The Corpse represents the deceased man whose belongings are being discussed, serving as a stark reminder of mortality."', 'source_id': 'chunk-e1f29eeadc1d8ab46dc8a0bbd3c56b64'} +2024-10-30 05:53:30,247 - lightrag - INFO - get_node:query:MATCH (n:`THE DARK ROOM`) RETURN n:result:"The Dark Room is where the corpse lies, symbolizing isolation and the lack of care for the deceased.""The Dark Room serves as the setting for the scene, enhancing the atmosphere of dread and the theme of impending death."', 'source_id': 'chunk-e1f29eeadc1d8ab46dc8a0bbd3c56b64'}> +2024-10-30 05:53:30,383 - lightrag - INFO - _do_upsert:query: + MERGE (n:`THE DARK ROOM`) + SET n += $properties + RETURN n + :result:{'entity_type': '"GEO"', 'description': '"The Dark Room is where the corpse lies, symbolizing isolation and the lack of care for the deceased.""The Dark Room is where the corpse lies, symbolizing isolation and the lack of care for the deceased.""The Dark Room is where the corpse lies, symbolizing isolation and the lack of care for the deceased.""The Dark Room serves as the setting for the scene, enhancing the atmosphere of dread and the theme of impending death."', 'source_id': 'chunk-e1f29eeadc1d8ab46dc8a0bbd3c56b64'} +2024-10-30 05:53:30,512 - lightrag - INFO - get_node:query:MATCH (n:`CAROLINE`) RETURN n:result:"Caroline is portrayed as a mother filled with hope and emotion regarding her husband’s situation, revealing her character through her reactions to news.""Caroline is portrayed as a mother filled with hope and emotion regarding her husband’s situation, revealing her character through her reactions to news."', 'source_id': 'chunk-83ac129dc9b56f84c46760d153d68e93'}> +2024-10-30 05:53:30,648 - lightrag - INFO - _do_upsert:query: + MERGE (n:`CAROLINE`) + SET n += $properties + RETURN n + :result:{'entity_type': '"PERSON"', 'description': '"Caroline is a character representing hope and emotional depth, reacting to her husband\'s news about their financial situation with a mixture of dread and optimism.""Caroline is portrayed as a mother filled with hope and emotion regarding her husband’s situation, revealing her character through her reactions to news.""Caroline is portrayed as a mother filled with hope and emotion regarding her husband’s situation, revealing her character through her reactions to news.""Caroline is portrayed as a mother filled with hope and emotion regarding her husband’s situation, revealing her character through her reactions to news."', 'source_id': 'chunk-83ac129dc9b56f84c46760d153d68e93'} +2024-10-30 05:53:30,777 - lightrag - INFO - get_node:query:MATCH (n:`THE CRATCHIT HOUSE`) RETURN n:result: +2024-10-30 05:53:30,907 - lightrag - INFO - _do_upsert:query: + MERGE (n:`THE CRATCHIT HOUSE`) + SET n += $properties + RETURN n + :result:{'entity_type': '"ORGANIZATION"', 'description': '"The Cratchit House symbolizes a place of familial connection and warmth, despite the hardships faced by its inhabitants."', 'source_id': 'chunk-83ac129dc9b56f84c46760d153d68e93'} +2024-10-30 05:53:31,038 - lightrag - INFO - get_node:query:MATCH (n:`THE EVENT OF DEATH`) RETURN n:result: +2024-10-30 05:53:31,167 - lightrag - INFO - _do_upsert:query: + MERGE (n:`THE EVENT OF DEATH`) + SET n += $properties + RETURN n + :result:{'entity_type': '"EVENT"', 'description': '"The Event of Death signifies a pivotal moment affecting the characters, transitioning their emotional state and family dynamics."', 'source_id': 'chunk-83ac129dc9b56f84c46760d153d68e93'} +2024-10-30 05:53:31,295 - lightrag - INFO - get_node:query:MATCH (n:`THE HUSBAND`) RETURN n:result: +2024-10-30 05:53:31,431 - lightrag - INFO - _do_upsert:query: + MERGE (n:`THE HUSBAND`) + SET n += $properties + RETURN n + :result:{'entity_type': '"PERSON"', 'description': '"The Husband is depicted as a careworn man, bringing news that impacts his family\'s emotional state, symbolizing the struggle between hope and despair."', 'source_id': 'chunk-83ac129dc9b56f84c46760d153d68e93'} +2024-10-30 05:53:31,559 - lightrag - INFO - get_node:query:MATCH (n:`PETER`) RETURN n:result:"Peter is one of the Cratchit children, who occasionally expresses a sense of duty and future aspirations, contributing to family discussions.""Peter is a son in the Cratchit family, responsible and calm, attempting to engage his siblings amidst a tense family situation and financial uncertainty.""Peter is the son of Bob and Mrs. Cratchit, showing concern and support for his father and siblings.""Peter is a son in the Cratchit family, responsible and calm, attempting to engage his siblings amidst a tense family situation and financial uncertainty.""Peter is the son of Bob and Mrs. Cratchit, showing concern and support for his father and siblings."', 'source_id': 'chunk-1d4b58de5429cd1261370c231c8673e8chunk-83ac129dc9b56f84c46760d153d68e93'}> +2024-10-30 05:53:31,694 - lightrag - INFO - _do_upsert:query: + MERGE (n:`PETER`) + SET n += $properties + RETURN n + :result:{'entity_type': '"PERSON"', 'description': '"Peter is a member of the Cratchit family, characterized by his quiet demeanor while being engaged in reading, representing the next generation\'s concern.""Peter is one of the Cratchit children, who occasionally expresses a sense of duty and future aspirations, contributing to family discussions.""Peter is a son in the Cratchit family, responsible and calm, attempting to engage his siblings amidst a tense family situation and financial uncertainty.""Peter is the son of Bob and Mrs. Cratchit, showing concern and support for his father and siblings.""Peter is a son in the Cratchit family, responsible and calm, attempting to engage his siblings amidst a tense family situation and financial uncertainty.""Peter is the son of Bob and Mrs. Cratchit, showing concern and support for his father and siblings.""Peter is a son in the Cratchit family, responsible and calm, attempting to engage his siblings amidst a tense family situation and financial uncertainty.""Peter is the son of Bob and Mrs. Cratchit, showing concern and support for his father and siblings."', 'source_id': 'chunk-1d4b58de5429cd1261370c231c8673e8chunk-83ac129dc9b56f84c46760d153d68e93'} +2024-10-30 05:53:31,823 - lightrag - INFO - get_node:query:MATCH (n:`THE DEBT`) RETURN n:result: +2024-10-30 05:53:31,955 - lightrag - INFO - _do_upsert:query: + MERGE (n:`THE DEBT`) + SET n += $properties + RETURN n + :result:{'entity_type': '"CONCEPT"', 'description': '"The Debt symbolizes the financial burdens faced by the Cratchit family, a source of anxiety and tension impacting their morale and outlook."', 'source_id': 'chunk-83ac129dc9b56f84c46760d153d68e93'} +2024-10-30 05:53:32,083 - lightrag - INFO - get_node:query:MATCH (n:`MR. SCROOGE'S NEPHEW`) RETURN n:result:"Mr. Scrooge\'s Nephew is a kind gentleman who expresses sympathy for Bob Cratchit and offers help, reflecting goodwill.""Mr. Scrooge\'s Nephew is a kind gentleman who shows concern for Bob Cratchit and offers support, symbolizing generosity and compassion."', 'source_id': 'chunk-1d4b58de5429cd1261370c231c8673e8'}> +2024-10-30 05:53:32,214 - lightrag - INFO - _do_upsert:query: + MERGE (n:`MR. SCROOGE'S NEPHEW`) + SET n += $properties + RETURN n + :result:{'entity_type': '"PERSON"', 'description': '"Mr. Scrooge\'s Nephew is a kind gentleman who expresses sympathy for Bob Cratchit and offers help, reflecting goodwill.""Mr. Scrooge\'s Nephew is a kind gentleman who expresses sympathy for Bob Cratchit and offers help, reflecting goodwill.""Mr. Scrooge\'s Nephew is a kind gentleman who expresses sympathy for Bob Cratchit and offers help, reflecting goodwill.""Mr. Scrooge\'s Nephew is a kind gentleman who shows concern for Bob Cratchit and offers support, symbolizing generosity and compassion."', 'source_id': 'chunk-1d4b58de5429cd1261370c231c8673e8'} +2024-10-30 05:53:32,343 - lightrag - INFO - get_node:query:MATCH (n:`THE TWO YOUNG CRATCHITS`) RETURN n:result:"The Two Young Cratchits are siblings who show affection for their father, demonstrating the innocence and unity of childhood.""The Two Young Cratchits are the younger children in the Cratchit family, who express affection towards their father, Bob."', 'source_id': 'chunk-1d4b58de5429cd1261370c231c8673e8'}> +2024-10-30 05:53:32,477 - lightrag - INFO - _do_upsert:query: + MERGE (n:`THE TWO YOUNG CRATCHITS`) + SET n += $properties + RETURN n + :result:{'entity_type': '"PERSON"', 'description': '"The Two Young Cratchits are siblings who show affection for their father, demonstrating the innocence and unity of childhood.""The Two Young Cratchits are siblings who show affection for their father, demonstrating the innocence and unity of childhood.""The Two Young Cratchits are siblings who show affection for their father, demonstrating the innocence and unity of childhood.""The Two Young Cratchits are the younger children in the Cratchit family, who express affection towards their father, Bob."', 'source_id': 'chunk-1d4b58de5429cd1261370c231c8673e8'} +2024-10-30 05:53:32,605 - lightrag - INFO - get_node:query:MATCH (n:`THE TABLE`) RETURN n:result: +2024-10-30 05:53:32,739 - lightrag - INFO - _do_upsert:query: + MERGE (n:`THE TABLE`) + SET n += $properties + RETURN n + :result:{'entity_type': '"GEO"', 'description': '"The Table is where the Cratchit family gathers, representing their domestic life and togetherness."', 'source_id': 'chunk-1d4b58de5429cd1261370c231c8673e8'} +2024-10-30 05:53:32,867 - lightrag - INFO - get_node:query:MATCH (n:`THE ROOM ABOVE`) RETURN n:result: +2024-10-30 05:53:32,999 - lightrag - INFO - _do_upsert:query: + MERGE (n:`THE ROOM ABOVE`) + SET n += $properties + RETURN n + :result:{'entity_type': '"GEO"', 'description': '"The Room Above is a space in the Cratchit household which is illuminated cheerfully, suggesting a haven despite their hardships."', 'source_id': 'chunk-1d4b58de5429cd1261370c231c8673e8'} +2024-10-30 05:53:33,123 - lightrag - INFO - get_node:query:MATCH (n:`THE GHOST OF CHRISTMAS YET TO COME`) RETURN n:result:"The Ghost of Christmas Yet to Come is a spirit that shows Scrooge the consequences of his actions, pointing toward his eventual demise.""The Ghost of Christmas Yet to Come reveals the potential consequences of Scrooge\'s current life choices, emphasizing themes of mortality and legacy.""The Ghost of Christmas Yet to Come is a spirit that shows Scrooge the consequences of his actions, pointing toward his eventual demise.""The Ghost of Christmas Yet to Come reveals the potential consequences of Scrooge\'s current life choices, emphasizing themes of mortality and legacy."', 'source_id': 'chunk-90b95db5c53e4364a6bee36b7aa4d70fchunk-91572b3cd42786ba4cb2f180ca25cbf4'}> +2024-10-30 05:53:33,258 - lightrag - INFO - _do_upsert:query: + MERGE (n:`THE GHOST OF CHRISTMAS YET TO COME`) + SET n += $properties + RETURN n + :result:{'entity_type': '"ORGANIZATION"', 'description': '"The Ghost of Christmas Yet to Come is a spectral being that guides Scrooge through visions of his potential future.""The Ghost of Christmas Yet to Come is a spirit that shows Scrooge the consequences of his actions, pointing toward his eventual demise.""The Ghost of Christmas Yet to Come reveals the potential consequences of Scrooge\'s current life choices, emphasizing themes of mortality and legacy.""The Ghost of Christmas Yet to Come is a spirit that shows Scrooge the consequences of his actions, pointing toward his eventual demise.""The Ghost of Christmas Yet to Come reveals the potential consequences of Scrooge\'s current life choices, emphasizing themes of mortality and legacy.""The Ghost of Christmas Yet to Come is a spirit that shows Scrooge the consequences of his actions, pointing toward his eventual demise.""The Ghost of Christmas Yet to Come reveals the potential consequences of Scrooge\'s current life choices, emphasizing themes of mortality and legacy."', 'source_id': 'chunk-90b95db5c53e4364a6bee36b7aa4d70fchunk-91572b3cd42786ba4cb2f180ca25cbf4'} +2024-10-30 05:53:33,386 - lightrag - INFO - get_node:query:MATCH (n:`GRAVE`) RETURN n:result: +2024-10-30 05:53:33,520 - lightrag - INFO - _do_upsert:query: + MERGE (n:`GRAVE`) + SET n += $properties + RETURN n + :result:{'entity_type': '"GEO"', 'description': '"The Grave represents a place where Scrooge\'s future self lies, symbolizing death and the consequences of a life unexamined."', 'source_id': 'chunk-91572b3cd42786ba4cb2f180ca25cbf4'} +2024-10-30 05:53:33,648 - lightrag - INFO - get_node:query:MATCH (n:`THE GRAVESTONE`) RETURN n:result: +2024-10-30 05:53:33,781 - lightrag - INFO - _do_upsert:query: + MERGE (n:`THE GRAVESTONE`) + SET n += $properties + RETURN n + :result:{'entity_type': '"GEO"', 'description': '"The Gravestone bears Scrooge\'s name and symbolizes mortality and the legacy of his actions during his lifetime."', 'source_id': 'chunk-91572b3cd42786ba4cb2f180ca25cbf4'} +2024-10-30 05:53:33,906 - lightrag - INFO - get_node:query:MATCH (n:`THE FUTURE`) RETURN n:result:"The Future represents the potential outcomes of Scrooge’s life choices, depicted through the visions shown by the Spirits.""The Future refers to the outcomes that Scrooge may face based on his current actions, raising themes of choice and consequence.""The Future refers to the outcomes that Scrooge may face based on his current actions, raising themes of choice and consequence."', 'source_id': 'chunk-91572b3cd42786ba4cb2f180ca25cbf4chunk-02baee20cc9463dbe08170a8e1043e32'}> +2024-10-30 05:53:34,036 - lightrag - INFO - _do_upsert:query: + MERGE (n:`THE FUTURE`) + SET n += $properties + RETURN n + :result:{'entity_type': '"CONCEPT"', 'description': '"The Future is represented as a realm of possibility and consequence that concerns Scrooge\'s fate and choices.""The Future represents the potential outcomes of Scrooge’s life choices, depicted through the visions shown by the Spirits.""The Future refers to the outcomes that Scrooge may face based on his current actions, raising themes of choice and consequence.""The Future refers to the outcomes that Scrooge may face based on his current actions, raising themes of choice and consequence.""The Future refers to the outcomes that Scrooge may face based on his current actions, raising themes of choice and consequence."', 'source_id': 'chunk-91572b3cd42786ba4cb2f180ca25cbf4chunk-02baee20cc9463dbe08170a8e1043e32'} +2024-10-30 05:53:34,165 - lightrag - INFO - get_node:query:MATCH (n:`THE PAST`) RETURN n:result:"The Past reflects on Scrooge\'s earlier life choices and experiences that shaped who he has become.""The Past reflects on Scrooge\'s earlier life choices and experiences that shaped who he has become."', 'source_id': 'chunk-91572b3cd42786ba4cb2f180ca25cbf4'}> +2024-10-30 05:53:34,299 - lightrag - INFO - _do_upsert:query: + MERGE (n:`THE PAST`) + SET n += $properties + RETURN n + :result:{'entity_type': '"CONCEPT"', 'description': '"The Past is a concept that reflects Scrooge\'s memories and previous actions that influence his current state and future decisions.""The Past reflects on Scrooge\'s earlier life choices and experiences that shaped who he has become.""The Past reflects on Scrooge\'s earlier life choices and experiences that shaped who he has become.""The Past reflects on Scrooge\'s earlier life choices and experiences that shaped who he has become."', 'source_id': 'chunk-91572b3cd42786ba4cb2f180ca25cbf4'} +2024-10-30 05:53:34,432 - lightrag - INFO - get_node:query:MATCH (n:`THE PRESENT`) RETURN n:result:"The Present emphasizes the importance of living in the moment and embracing current opportunities for change.""The Present represents the current moment in Scrooge\'s life that he must recognize and change to achieve redemption."', 'source_id': 'chunk-91572b3cd42786ba4cb2f180ca25cbf4'}> +2024-10-30 05:53:34,564 - lightrag - INFO - _do_upsert:query: + MERGE (n:`THE PRESENT`) + SET n += $properties + RETURN n + :result:{'entity_type': '"CONCEPT"', 'description': '"The Present emphasizes the importance of living in the moment and embracing current opportunities for change.""The Present emphasizes the importance of living in the moment and embracing current opportunities for change.""The Present emphasizes the importance of living in the moment and embracing current opportunities for change.""The Present represents the current moment in Scrooge\'s life that he must recognize and change to achieve redemption."', 'source_id': 'chunk-91572b3cd42786ba4cb2f180ca25cbf4'} +2024-10-30 05:53:34,698 - lightrag - INFO - get_node:query:MATCH (n:`THE POULTERER'S`) RETURN n:result:"The Poulterer\'s is a shop mentioned by Scrooge, relevant in the context of his generous actions towards the Cratchit family.""The Poulterer\'s is a shop where Scrooge intends to buy a turkey for the Cratchit family."', 'source_id': 'chunk-90b95db5c53e4364a6bee36b7aa4d70f'}> +2024-10-30 05:53:34,833 - lightrag - INFO - _do_upsert:query: + MERGE (n:`THE POULTERER'S`) + SET n += $properties + RETURN n + :result:{'entity_type': '"ORGANIZATION"', 'description': '"The Poulterer\'s is a shop mentioned by Scrooge, relevant in the context of his generous actions towards the Cratchit family.""The Poulterer\'s is a shop mentioned by Scrooge, relevant in the context of his generous actions towards the Cratchit family.""The Poulterer\'s is a shop mentioned by Scrooge, relevant in the context of his generous actions towards the Cratchit family.""The Poulterer\'s is a shop where Scrooge intends to buy a turkey for the Cratchit family."', 'source_id': 'chunk-90b95db5c53e4364a6bee36b7aa4d70f'} +2024-10-30 05:53:34,962 - lightrag - INFO - get_node:query:MATCH (n:`THE SPIRITS`) RETURN n:result:"The Spirits represent the past, present, and future in Scrooge\'s life, guiding him toward redemption and self-reflection.""The Spirits represent the forces that guide Scrooge towards his transformation and are instrumental in his journey of redemption.""The Spirits represent the forces that guide Scrooge towards his transformation and are instrumental in his journey of redemption."', 'source_id': 'chunk-90b95db5c53e4364a6bee36b7aa4d70fchunk-cb661c37436355ccec2769b1d0350c5f'}> +2024-10-30 05:53:35,106 - lightrag - INFO - _do_upsert:query: + MERGE (n:`THE SPIRITS`) + SET n += $properties + RETURN n + :result:{'entity_type': '"CONCEPT"', 'description': '"The Spirits collectively represent the supernatural forces that seek to guide and teach Scrooge about the impact of his life choices.""The Spirits represent the past, present, and future in Scrooge\'s life, guiding him toward redemption and self-reflection.""The Spirits represent the forces that guide Scrooge towards his transformation and are instrumental in his journey of redemption.""The Spirits represent the forces that guide Scrooge towards his transformation and are instrumental in his journey of redemption.""The Spirits represent the forces that guide Scrooge towards his transformation and are instrumental in his journey of redemption."', 'source_id': 'chunk-90b95db5c53e4364a6bee36b7aa4d70fchunk-cb661c37436355ccec2769b1d0350c5f'} +2024-10-30 05:53:35,235 - lightrag - INFO - get_node:query:MATCH (n:`THE GHOST OF CHRISTMAS PRESENT`) RETURN n:result:"The Ghost of Christmas Present is a supernatural being that shows Scrooge the true spirit of Christmas, including kindness towards the poor.""The Ghost of Christmas Present signifies abundance and the spirit of joy that Scrooge is encouraged to embrace.""The Ghost of Christmas Present is one of the spirits that help Scrooge understand the importance of generosity and compassion during the festive season.""The Ghost of Christmas Present is one of the spirits that help Scrooge understand the importance of generosity and compassion during the festive season."', 'source_id': 'chunk-90b95db5c53e4364a6bee36b7aa4d70fchunk-43c9bee23adfa77aa9dedd22401bba7dchunk-b0f459f5af1c3a5e0b92cbe4ee48b77b'}> +2024-10-30 05:53:35,372 - lightrag - INFO - _do_upsert:query: + MERGE (n:`THE GHOST OF CHRISTMAS PRESENT`) + SET n += $properties + RETURN n + :result:{'entity_type': '"PERSON"', 'description': '"The Ghost of Christmas Present is a spirit that guides Scrooge through his memories and the joy of the present Christmas celebration.""The Ghost of Christmas Present is a supernatural being that shows Scrooge the true spirit of Christmas, including kindness towards the poor.""The Ghost of Christmas Present signifies abundance and the spirit of joy that Scrooge is encouraged to embrace.""The Ghost of Christmas Present is one of the spirits that help Scrooge understand the importance of generosity and compassion during the festive season.""The Ghost of Christmas Present is one of the spirits that help Scrooge understand the importance of generosity and compassion during the festive season.""The Ghost of Christmas Present is one of the spirits that help Scrooge understand the importance of generosity and compassion during the festive season."', 'source_id': 'chunk-90b95db5c53e4364a6bee36b7aa4d70fchunk-43c9bee23adfa77aa9dedd22401bba7dchunk-b0f459f5af1c3a5e0b92cbe4ee48b77b'} +2024-10-30 05:53:35,504 - lightrag - INFO - get_node:query:MATCH (n:`THE CHRISTMAS DINNER`) RETURN n:result: +2024-10-30 05:53:35,644 - lightrag - INFO - _do_upsert:query: + MERGE (n:`THE CHRISTMAS DINNER`) + SET n += $properties + RETURN n + :result:{'entity_type': '"EVENT"', 'description': '"The Christmas Dinner signifies the gathering of the Cratchit family, highlighting themes of togetherness and the warmth of family during the holiday season."', 'source_id': 'chunk-90b95db5c53e4364a6bee36b7aa4d70f'} +2024-10-30 05:53:35,775 - lightrag - INFO - get_node:query:MATCH (n:`THE STREET`) RETURN n:result:"The Street is the setting where Scrooge interacts with the boy and demonstrates his newfound generosity after his transformation.""The Street is where Mr. Scrooge\'s Nephew encounters Bob Cratchit, facilitating a significant moment of kindness in the narrative.""The Street represents the setting where Scrooge interacts with various characters and experiences joy, emphasizing the festive atmosphere.""The Street represents the setting where Scrooge interacts with various characters and experiences joy, emphasizing the festive atmosphere."', 'source_id': 'chunk-90b95db5c53e4364a6bee36b7aa4d70fchunk-8f738cb25d60a7dab782162d9d0a25edchunk-1d4b58de5429cd1261370c231c8673e8'}> +2024-10-30 05:53:35,906 - lightrag - INFO - _do_upsert:query: + MERGE (n:`THE STREET`) + SET n += $properties + RETURN n + :result:{'entity_type': '"GEO"', 'description': '"The Street is the setting where Scrooge interacts with the boy and demonstrates his newfound generosity after his transformation.""The Street is the setting where Scrooge interacts with the boy and demonstrates his newfound generosity after his transformation.""The Street is the setting where Scrooge interacts with the boy and demonstrates his newfound generosity after his transformation.""The Street is where Mr. Scrooge\'s Nephew encounters Bob Cratchit, facilitating a significant moment of kindness in the narrative.""The Street represents the setting where Scrooge interacts with various characters and experiences joy, emphasizing the festive atmosphere.""The Street represents the setting where Scrooge interacts with various characters and experiences joy, emphasizing the festive atmosphere.""The Street represents the setting where Scrooge interacts with various characters and experiences joy, emphasizing the festive atmosphere."', 'source_id': 'chunk-90b95db5c53e4364a6bee36b7aa4d70fchunk-8f738cb25d60a7dab782162d9d0a25edchunk-1d4b58de5429cd1261370c231c8673e8'} +2024-10-30 05:53:36,038 - lightrag - INFO - get_node:query:MATCH (n:`THE BOY`) RETURN n:result:"The Boy is a young messenger who interacts with Scrooge during his purchase of the turkey.""The Boy represents innocence and curiosity, serving as a catalyst for Scrooge\'s generous act by purchasing the turkey.""The Boy represents innocence and curiosity, serving as a catalyst for Scrooge\'s generous act by purchasing the turkey."', 'source_id': 'chunk-90b95db5c53e4364a6bee36b7aa4d70fchunk-8f738cb25d60a7dab782162d9d0a25edchunk-8bc1edd983869352d14cf0886a9175a7'}> +2024-10-30 05:53:36,171 - lightrag - INFO - _do_upsert:query: + MERGE (n:`THE BOY`) + SET n += $properties + RETURN n + :result:{'entity_type': '"PERSON"', 'description': '"The Boy is a character mentioned briefly, who tries to hide behind another girl, indicating shyness among the festive crowd.""The Boy is a young messenger who interacts with Scrooge during his purchase of the turkey.""The Boy represents innocence and curiosity, serving as a catalyst for Scrooge\'s generous act by purchasing the turkey.""The Boy represents innocence and curiosity, serving as a catalyst for Scrooge\'s generous act by purchasing the turkey.""The Boy represents innocence and curiosity, serving as a catalyst for Scrooge\'s generous act by purchasing the turkey."', 'source_id': 'chunk-90b95db5c53e4364a6bee36b7aa4d70fchunk-8f738cb25d60a7dab782162d9d0a25edchunk-8bc1edd983869352d14cf0886a9175a7'} +2024-10-30 05:53:36,300 - lightrag - INFO - get_node:query:MATCH (n:`THE TURKEY`) RETURN n:result:"The Turkey represents a key symbol of generosity and festivity during Christmas, as Scrooge purchases it to spread joy.""The Turkey symbolizes the generosity and festive spirit that Scrooge embraces following his transformation.""The Turkey represents a key symbol of generosity and festivity during Christmas, as Scrooge purchases it to spread joy.""The Turkey symbolizes the generosity and festive spirit that Scrooge embraces following his transformation."', 'source_id': 'chunk-90b95db5c53e4364a6bee36b7aa4d70fchunk-8f738cb25d60a7dab782162d9d0a25ed'}> +2024-10-30 05:53:36,431 - lightrag - INFO - _do_upsert:query: + MERGE (n:`THE TURKEY`) + SET n += $properties + RETURN n + :result:{'entity_type': '"EVENT"', 'description': '"The Turkey is a large bird that Scrooge has humorously commented on sending to Bob, symbolizing generosity and Christmas spirit.""The Turkey represents a key symbol of generosity and festivity during Christmas, as Scrooge purchases it to spread joy.""The Turkey symbolizes the generosity and festive spirit that Scrooge embraces following his transformation.""The Turkey represents a key symbol of generosity and festivity during Christmas, as Scrooge purchases it to spread joy.""The Turkey symbolizes the generosity and festive spirit that Scrooge embraces following his transformation.""The Turkey represents a key symbol of generosity and festivity during Christmas, as Scrooge purchases it to spread joy.""The Turkey symbolizes the generosity and festive spirit that Scrooge embraces following his transformation."', 'source_id': 'chunk-90b95db5c53e4364a6bee36b7aa4d70fchunk-8f738cb25d60a7dab782162d9d0a25ed'} +2024-10-30 05:53:36,567 - lightrag - INFO - get_node:query:MATCH (n:`THE OLD GENTLEMAN`) RETURN n:result: +2024-10-30 05:53:36,701 - lightrag - INFO - _do_upsert:query: + MERGE (n:`THE OLD GENTLEMAN`) + SET n += $properties + RETURN n + :result:{'entity_type': '"PERSON"', 'description': '"The Old Gentleman is a character with whom Scrooge interacts, showcasing the themes of kindness and forgiveness."', 'source_id': 'chunk-8f738cb25d60a7dab782162d9d0a25ed'} +2024-10-30 05:53:36,836 - lightrag - INFO - get_node:query:MATCH (n:`BOB`) RETURN n:result:"Bob is referenced humorously by Scrooge in the context of a joke regarding a large turkey.""Bob is likely referenced as a character who may receive the turkey sent by Scrooge, highlighting the theme of generosity.""Bob is likely referenced as a character who may receive the turkey sent by Scrooge, highlighting the theme of generosity."', 'source_id': 'chunk-8f738cb25d60a7dab782162d9d0a25edchunk-91572b3cd42786ba4cb2f180ca25cbf4'}> +2024-10-30 05:53:36,969 - lightrag - INFO - _do_upsert:query: + MERGE (n:`BOB`) + SET n += $properties + RETURN n + :result:{'entity_type': '"PERSON"', 'description': '"Bob is a character who reflects on the importance of unity and remembering Tiny Tim among his family.""Bob is referenced humorously by Scrooge in the context of a joke regarding a large turkey.""Bob is likely referenced as a character who may receive the turkey sent by Scrooge, highlighting the theme of generosity.""Bob is likely referenced as a character who may receive the turkey sent by Scrooge, highlighting the theme of generosity.""Bob is likely referenced as a character who may receive the turkey sent by Scrooge, highlighting the theme of generosity."', 'source_id': 'chunk-8f738cb25d60a7dab782162d9d0a25edchunk-91572b3cd42786ba4cb2f180ca25cbf4'} +2024-10-30 05:53:37,099 - lightrag - INFO - get_node:query:MATCH (n:`THE CAB`) RETURN n:result: +2024-10-30 05:53:37,232 - lightrag - INFO - _do_upsert:query: + MERGE (n:`THE CAB`) + SET n += $properties + RETURN n + :result:{'entity_type': '"EVENT"', 'description': '"The Cab is an event associated with transporting the turkey, illustrating the lengths to which Scrooge is willing to go to share joy."', 'source_id': 'chunk-8f738cb25d60a7dab782162d9d0a25ed'} +2024-10-30 05:53:37,361 - lightrag - INFO - get_node:query:MATCH (n:`THE KITCHEN`) RETURN n:result: +2024-10-30 05:53:37,497 - lightrag - INFO - _do_upsert:query: + MERGE (n:`THE KITCHEN`) + SET n += $properties + RETURN n + :result:{'entity_type': '"GEO"', 'description': '"The Kitchen is a location that Scrooge looks into, symbolizing warmth, family, and the spirit of hospitality during the holiday season."', 'source_id': 'chunk-8f738cb25d60a7dab782162d9d0a25ed'} +2024-10-30 05:53:37,628 - lightrag - INFO - get_node:query:MATCH (n:`MISTRESS`) RETURN n:result: +2024-10-30 05:53:37,763 - lightrag - INFO - _do_upsert:query: + MERGE (n:`MISTRESS`) + SET n += $properties + RETURN n + :result:{'entity_type': '"PERSON"', 'description': '"Mistress is referenced in relation to Fred, indicating the presence of family dynamics during the Christmas celebration."', 'source_id': 'chunk-8f738cb25d60a7dab782162d9d0a25ed'} +2024-10-30 05:53:37,917 - lightrag - INFO - get_node:query:MATCH (n:`THE FAMILY`) RETURN n:result: +2024-10-30 05:53:38,045 - lightrag - INFO - _do_upsert:query: + MERGE (n:`THE FAMILY`) + SET n += $properties + RETURN n + :result:{'entity_type': '"ORGANIZATION"', 'description': '"The Family includes Bob Cratchit and his loved ones, who represent themes of togetherness and support during Christmas."', 'source_id': 'chunk-94bea83e7153fc2064aa382b494936a1'} +2024-10-30 05:53:38,174 - lightrag - INFO - get_node:query:MATCH (n:`THE TANK`) RETURN n:result:"The Tank is the workplace setting where Bob Cratchit works under Scrooge, highlighting the power dynamics in their relationship.""The Tank refers to Bob Cratchit\'s work area, where he encounters Scrooge and faces the consequences of arriving late."', 'source_id': 'chunk-94bea83e7153fc2064aa382b494936a1'}> +2024-10-30 05:53:38,306 - lightrag - INFO - _do_upsert:query: + MERGE (n:`THE TANK`) + SET n += $properties + RETURN n + :result:{'entity_type': '"LOCATION"', 'description': '"The Tank is the workplace setting where Bob Cratchit works under Scrooge, highlighting the power dynamics in their relationship.""The Tank is the workplace setting where Bob Cratchit works under Scrooge, highlighting the power dynamics in their relationship.""The Tank is the workplace setting where Bob Cratchit works under Scrooge, highlighting the power dynamics in their relationship.""The Tank refers to Bob Cratchit\'s work area, where he encounters Scrooge and faces the consequences of arriving late."', 'source_id': 'chunk-94bea83e7153fc2064aa382b494936a1'} +2024-10-30 05:53:38,438 - lightrag - INFO - get_node:query:MATCH (n:`SMOKING BISHOP`) RETURN n:result: +2024-10-30 05:53:38,569 - lightrag - INFO - _do_upsert:query: + MERGE (n:`SMOKING BISHOP`) + SET n += $properties + RETURN n + :result:{'entity_type': '"CONCEPT"', 'description': '"Smoking Bishop is a traditional Christmas drink mentioned in the context of Scrooge and Bob\'s plans to celebrate together, symbolizing festive cheer."', 'source_id': 'chunk-94bea83e7153fc2064aa382b494936a1'} +2024-10-30 05:53:38,697 - lightrag - INFO - get_node:query:MATCH (n:`THE FOUNDATION`) RETURN n:result:"The Foundation, also known as the Project Gutenberg Literary Archive Foundation, owns the compilation copyright in the collection of Project Gutenberg electronic works.""The Foundation, referred to as the Project Gutenberg Literary Archive Foundation, owns the compilation copyright of Project Gutenberg\'s collection."', 'source_id': 'chunk-194cd9680f4967f48bea89678f7ece21'}> +2024-10-30 05:53:38,828 - lightrag - INFO - _do_upsert:query: + MERGE (n:`THE FOUNDATION`) + SET n += $properties + RETURN n + :result:{'entity_type': '"ORGANIZATION"', 'description': '"The Foundation, also known as the Project Gutenberg Literary Archive Foundation, owns the compilation copyright in the collection of Project Gutenberg electronic works.""The Foundation, also known as the Project Gutenberg Literary Archive Foundation, owns the compilation copyright in the collection of Project Gutenberg electronic works.""The Foundation, also known as the Project Gutenberg Literary Archive Foundation, owns the compilation copyright in the collection of Project Gutenberg electronic works.""The Foundation, referred to as the Project Gutenberg Literary Archive Foundation, owns the compilation copyright of Project Gutenberg\'s collection."', 'source_id': 'chunk-194cd9680f4967f48bea89678f7ece21'} +2024-10-30 05:53:38,960 - 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lightrag - INFO - get_node:query:MATCH (n:`U.S. COPYRIGHT LAW`) RETURN n:result:"U.S. Copyright Law governs the usage, distribution, and copyright status of literary works in the United States, affecting how Project Gutenberg operates.""U.S. Copyright Law is the legal framework that Project Gutenberg navigates in its efforts to provide access to electronic works, ensuring compliance with copyright protections.""U.S. Copyright Law refers to the legal framework governing copyright protection in the United States, which impacts the distribution and usage of literary works and other creative content.""U.S. copyright law governs the protection of intellectual property in the United States, impacting how works can be distributed through Project Gutenberg™.""U.S. Copyright Law is the legal framework that Project Gutenberg navigates in its efforts to provide access to electronic works, ensuring compliance with copyright protections."', 'source_id': 'chunk-c51b3dc560b408cce12cdfe5c9c94f57chunk-af4ae173c561e4594c5aea96198cce9d'}> +2024-10-30 05:53:41,471 - lightrag - INFO - _do_upsert:query: + MERGE (n:`U.S. COPYRIGHT LAW`) + SET n += $properties + RETURN n + :result:{'entity_type': '"CONCEPT"', 'description': '"U.S. Copyright Law governs the usage, distribution, and copyright status of literary works in the United States, affecting how Project Gutenberg operates.""U.S. Copyright Law governs the usage, distribution, and copyright status of literary works in the United States, affecting how Project Gutenberg operates.""U.S. Copyright Law governs the usage, distribution, and copyright status of literary works in the United States, affecting how Project Gutenberg operates.""U.S. Copyright Law is the legal framework that Project Gutenberg navigates in its efforts to provide access to electronic works, ensuring compliance with copyright protections.""U.S. Copyright Law refers to the legal framework governing copyright protection in the United States, which impacts the distribution and usage of literary works and other creative content.""U.S. copyright law governs the protection of intellectual property in the United States, impacting how works can be distributed through Project Gutenberg™.""U.S. Copyright Law is the legal framework that Project Gutenberg navigates in its efforts to provide access to electronic works, ensuring compliance with copyright protections.""U.S. Copyright Law is the legal framework that Project Gutenberg navigates in its efforts to provide access to electronic works, ensuring compliance with copyright protections."', 'source_id': 'chunk-c51b3dc560b408cce12cdfe5c9c94f57chunk-af4ae173c561e4594c5aea96198cce9d'} +2024-10-30 05:53:41,606 - lightrag - INFO - get_node:query:MATCH (n:`EBOOK`) RETURN n:result: +2024-10-30 05:53:41,739 - lightrag - INFO - _do_upsert:query: + MERGE (n:`EBOOK`) + SET n += $properties + RETURN n + :result:{'entity_type': '"EVENT"', 'description': '"An eBook refers to an electronic version of a book that can be accessed, displayed, or distributed according to the licensing terms of Project Gutenberg."', 'source_id': 'chunk-af4ae173c561e4594c5aea96198cce9d'} +2024-10-30 05:53:41,869 - lightrag - INFO - get_node:query:MATCH (n:`UNITED STATES`) RETURN n:result:"The United States is the primary geographic location referenced in the context of copyright laws and distribution terms for Project Gutenberg\'s eBooks.""The United States is the primary geographic location referenced in the context of copyright laws and distribution terms for Project Gutenberg\'s eBooks."', 'source_id': 'chunk-af4ae173c561e4594c5aea96198cce9dchunk-194cd9680f4967f48bea89678f7ece21'}> +2024-10-30 05:53:42,007 - lightrag - INFO - _do_upsert:query: + MERGE (n:`UNITED STATES`) + SET n += $properties + RETURN n + :result:{'entity_type': '"GEO"', 'description': '"The United States is a geographical location with specific copyright laws affecting the distribution of electronic works.""The United States is the primary geographic location referenced in the context of copyright laws and distribution terms for Project Gutenberg\'s eBooks.""The United States is the primary geographic location referenced in the context of copyright laws and distribution terms for Project Gutenberg\'s eBooks.""The United States is the primary geographic location referenced in the context of copyright laws and distribution terms for Project Gutenberg\'s eBooks."', 'source_id': 'chunk-194cd9680f4967f48bea89678f7ece21chunk-af4ae173c561e4594c5aea96198cce9d'} +2024-10-30 05:53:42,137 - lightrag - INFO - get_node:query:MATCH (n:`ROYALTY PAYMENTS`) RETURN n:result: +2024-10-30 05:53:42,267 - lightrag - INFO - _do_upsert:query: + MERGE (n:`ROYALTY PAYMENTS`) + SET n += $properties + RETURN n + :result:{'entity_type': '"EVENT"', 'description': '"Royalty Payments refer to the financial compensations required by Project Gutenberg to be paid to the trademark owner based on gross profits derived from certain uses of their works."', 'source_id': 'chunk-af4ae173c561e4594c5aea96198cce9d'} +2024-10-30 05:53:42,396 - 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lightrag - INFO - _do_upsert:query: + MERGE (n:`MISSISSIPPI`) + SET n += $properties + RETURN n + :result:{'entity_type': '"GEO"', 'description': '"Mississippi is a state in the United States, where the Project Gutenberg Literary Archive Foundation is organized under local laws.""Mississippi is a state in the United States, where the Project Gutenberg Literary Archive Foundation is organized under local laws.""Mississippi is a state in the United States, where the Project Gutenberg Literary Archive Foundation is organized under local laws.""Mississippi is the U.S. state where the Project Gutenberg Literary Archive Foundation is organized under local laws.""Mississippi is the state under whose laws the Project Gutenberg Literary Archive Foundation is organized, relevant to its legal status.""Mississippi is the U.S. state where the Project Gutenberg Literary Archive Foundation is organized under the laws regulating charities.""Mississippi is the U.S. state where the Project Gutenberg Literary Archive Foundation is organized under the laws regulating charities.""Mississippi is the U.S. state where the Project Gutenberg Literary Archive Foundation is organized under the laws regulating charities."', 'source_id': 'chunk-c51b3dc560b408cce12cdfe5c9c94f57chunk-85f77f5e3a9aba01133555a2d20e2fd8'} +2024-10-30 05:53:43,985 - 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He represents familial love and joy, often inviting Scrooge to family gatherings and emphasizing the importance of familial connections during the holiday season. Fred expresses admiration for his uncle and raises a toast in his honor at Christmas gatherings, showcasing his warmth and festive spirit. His character highlights the warmth of family that Scrooge initially rejects, and he is depicted as a friendly figure who is surprised and pleased by Scrooge's unexpected visits. 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He symbolizes hope, innocence, and resilience amidst the hardships faced by the Cratchit family, who struggle with poverty and illness. Described as a frail child and a cripple, Tiny Tim maintains an optimistic outlook and a joyful spirit, bringing joy to those around him and embodying the essence of goodness.\n\nTiny Tim\'s well-being is pivotal to the emotional state of his family, as he represents their hopes for the future and the love that unites them. His presence serves as a poignant reminder of the challenges posed by illness and poverty, evoking compassion from others, particularly Ebenezer Scrooge. Through Tiny Tim, the narrative conveys themes of family, generosity, and the potential for transformation, illustrating how acts of kindness can profoundly impact lives.\n\nDespite being acutely aware of his family\'s hardships, Tiny Tim participates in festive celebrations, such as the Christmas toast, showcasing his ability to embody the spirit of Christmas. Cherished by his family, particularly by his father, Bob Cratchit, Tiny Tim is often at the center of love and concern, reinforcing his role as a symbol of innocence and hope. Overall, Tiny Tim leaves a lasting impression on both other characters and readers, encapsulating the themes of hope and renewal that resonate throughout the story.', 'source_id': 'chunk-8f738cb25d60a7dab782162d9d0a25edchunk-19d72c57ae3408758b18d2568e86dc6bchunk-91572b3cd42786ba4cb2f180ca25cbf4chunk-94bea83e7153fc2064aa382b494936a1chunk-83ac129dc9b56f84c46760d153d68e93chunk-503f0bfa5453467c7c61d160a3540ecachunk-1d4b58de5429cd1261370c231c8673e8chunk-90b95db5c53e4364a6bee36b7aa4d70fchunk-7e2e7ebcc19a53b399dc03aded4743e7chunk-9e3921da66da5d761ab73cd849af6c43'} +2024-10-30 05:53:54,758 - lightrag - INFO - _do_upsert:query: + MERGE (n:`BOB CRATCHIT`) + SET n += $properties + RETURN n + :result:{'entity_type': '"PERSON"', 'description': 'Bob Cratchit is a significant character in Charles Dickens\' "A Christmas Carol," serving as Ebenezer Scrooge\'s dedicated clerk and an embodiment of the struggles faced by the working class. He is depicted as a struggling yet loving family man, whose household is blessed by the Spirit of Christmas. Despite his low wages, Cratchit exhibits warmth and joy at home, particularly during the festive season, striving to maintain a positive atmosphere amidst financial hardships. \n\nAs the father of Tiny Tim and head of the Cratchit family, Bob exemplifies deep familial love and concern, demonstrating kindness and emotional depth while caring for his children. He is portrayed as a mild-mannered character who expresses happiness and appreciation during family celebrations, capturing the essence of duty and love. Bob\'s affection for his children and his consistent concern for Tiny Tim\'s well-being highlight his dedication to family life.\n\nCratchit\'s arrival late to work after Christmas illustrates his trepidation about Scrooge, though it also signals Scrooge\'s newfound generosity towards him. This contrast underscores Cratchit\'s warm and positive demeanor, which remains steadfast despite his challenges. The Cratchit household radiates warmth, with Bob’s joy during their Christmas dinner sharply contrasting Scrooge\'s initial miserly attitude.\n\nIn summary, Bob Cratchit is not only a devoted father and husband but also a representation of resilience, hope, and the importance of family. He embodies the spirit of joy amidst adversity, making him a compelling and heartwarming character within the narrative of "A Christmas Carol."', 'source_id': 'chunk-d9aac3484185ac66045df92214d245d5chunk-19d72c57ae3408758b18d2568e86dc6bchunk-91572b3cd42786ba4cb2f180ca25cbf4chunk-94bea83e7153fc2064aa382b494936a1chunk-83ac129dc9b56f84c46760d153d68e93chunk-503f0bfa5453467c7c61d160a3540ecachunk-1d4b58de5429cd1261370c231c8673e8chunk-90b95db5c53e4364a6bee36b7aa4d70fchunk-b0f459f5af1c3a5e0b92cbe4ee48b77bchunk-7e2e7ebcc19a53b399dc03aded4743e7chunk-9e3921da66da5d761ab73cd849af6c43'} +2024-10-30 05:53:55,260 - lightrag - INFO - _do_upsert:query: + MERGE (n:`CHRISTMAS`) + SET n += $properties + RETURN n + :result:{'entity_type': '"EVENT"', 'description': 'Christmas is a significant and festive season that embodies themes of joy, love, generosity, and community. It plays a crucial role in the narrative, particularly through the experiences of the Cratchit family and the character of Ebenezer Scrooge. The holiday is depicted as a time for family togetherness, celebration, and emotional reflection. During this season, the Cratchit family experiences warmth, gratitude, and merriment, creating cherished memories despite their modest circumstances.\n\nIn stark contrast, Scrooge initially approaches Christmas with cynicism, dismissively referring to it as a "humbug" and rejecting the joy and goodwill that the season represents. His cold demeanor and disdain for the holiday stand in opposition to the spirit of generosity and community that prevails around him. The narrative highlights Christmas as a time of joy and giving, emphasizing the importance of social responsibility and emotional connections within a community.\n\nThroughout the story, Christmas serves as the backdrop for Scrooge’s transformation, forcing him to confront his past and the relationships he has neglected, which becomes a critical aspect of his character development. The holiday is also referenced as one that Scrooge\'s Nephew is passionate about, further contrasting with Scrooge\'s cynical views.\n\nAs the story unfolds, Christmas symbolizes redemption and change for Scrooge, who ultimately decides to embrace the holiday\'s spirit of goodwill and abandon his previous bitterness. Christmas emerges as a pivotal element that reinforces the story\'s exploration of redemption, generosity, and the transformative power of love and community. Joyful scenes of people celebrating, dancing, and engaging in festive activities starkly contrast with Scrooge\'s earlier solitude and disdain, highlighting the pervasive influence of this festive occasion on the thoughts and behaviors of all characters involved.', 'source_id': 'chunk-91614df5cb74cbe5e109a338a82041e9chunk-89777b838d5447c7bd1ec11282c4ee89chunk-8590d9263cd2cd4fa583c432fc54e6c3chunk-02baee20cc9463dbe08170a8e1043e32chunk-74e2466de2f67fd710ef2f20c0a8d9e0chunk-5dac41b3f9eeaf794f0147400b1718cdchunk-91572b3cd42786ba4cb2f180ca25cbf4chunk-43c9bee23adfa77aa9dedd22401bba7dchunk-da2472b4ef2a535b62908f14d0fb0ca9chunk-1d4b58de5429cd1261370c231c8673e8chunk-54bdd22db1f84a965b5f4c06c9216d8dchunk-e7637ff18c5ded77a68cce0a87883fadchunk-90d5764e301321c087f5a8f78b73a145chunk-99b0ec7f7e006561352b5d65e849611dchunk-773d0df1dd25c356f7b771d780583e09chunk-8f738cb25d60a7dab782162d9d0a25edchunk-94bea83e7153fc2064aa382b494936a1chunk-c6c248858d1b13ab7ee9ca13c1aeed6bchunk-503f0bfa5453467c7c61d160a3540eca'} +2024-10-30 05:53:55,438 - lightrag - INFO - _do_upsert:query: + MERGE (n:`THE GHOST`) + SET n += $properties + RETURN n + :result:{'entity_type': '"EVENT"', 'description': "The Ghost is a crucial supernatural being in the narrative that interacts with Ebenezer Scrooge, guiding him through a transformative journey. Described as a strange figure exhibiting qualities of both a child and an old man, The Ghost embodies the supernatural intervention in Scrooge's life, serving as a catalyst for self-reflection and moral realization. This spectral manifestation, identified as the apparition of Jacob Marley, instills dread in Scrooge while simultaneously delivering a critical message about the repercussions of his choices and the need for change.\n\nThroughout his encounters with The Ghost, Scrooge is shown various scenes from his past, which evoke deep emotions and highlight the joys of family and the significance of Christmas. The Ghost emphasizes themes of redemption, kindness, and the emotional consequences of one's actions, urging Scrooge to confront his past and reconsider his life choices. This supervision reveals lessons about the importance of human virtue and the need for compassion towards others.\n\nUltimately, The Ghost acts as a guiding presence, influencing Scrooge's emotional state and facilitating his journey toward redemption. By confronting his past and acknowledging the impending visits from three spirits, Scrooge begins to understand the value of kindness and the dire consequences of neglecting these moral values throughout his life. In summary, The Ghost serves as a key figure in Scrooge's transformation, encapsulating the overarching themes of change, redemption, and moral lessons.", 'source_id': 'chunk-8590d9263cd2cd4fa583c432fc54e6c3chunk-359187e7571bda4b0b08b2e0b6581e52chunk-cb661c37436355ccec2769b1d0350c5fchunk-54bdd22db1f84a965b5f4c06c9216d8dchunk-02baee20cc9463dbe08170a8e1043e32chunk-c7b10789a9cb0af6c553730b29bd9034chunk-c6c248858d1b13ab7ee9ca13c1aeed6bchunk-e7637ff18c5ded77a68cce0a87883fadchunk-83ac129dc9b56f84c46760d153d68e93chunk-43c9bee23adfa77aa9dedd22401bba7dchunk-9c43dac2fcd5b578242d907ea6f8fc7bchunk-da2472b4ef2a535b62908f14d0fb0ca9chunk-1aa50206d02ed89418f65f97c6441d1c'} +2024-10-30 05:53:55,634 - lightrag - INFO - _do_upsert:query: + MERGE (n:`SCROOGE`) + SET n += $properties + RETURN n + :result:{'entity_type': '"PERSON"', 'description': "Scrooge is a central character in the narrative, whose journey encapsulates profound emotional turmoil and transformation. Initially depicted as a miserly, cold-hearted individual characterized by greed and a disdain for Christmas, Scrooge is often referred to negatively as the “Ogre of the family” or a “tight-fisted old man.” His lack of compassion for others and reluctance to engage in charitable acts highlight his solitary nature and indifference to the festive spirit.\n\nThe turning point in Scrooge's journey begins with a haunting visit from the ghost of his former business partner, Jacob Marley. This encounter warns him of the dire consequences of his actions and sets off a series of supernatural visits from three spirits that guide Scrooge through his past, present, and future. As he reflects on his life during these encounters, he experiences horror, agitation, and regret, particularly as he contemplates the implications of his miserliness and recalls lonely moments from his childhood.\n\nThrough interactions with the spirits, Scrooge witnesses both joy and sorrow, particularly in his observations of the Cratchit family and Tiny Tim. These reflections ignite feelings of grief and a longing for connection, prompting Scrooge to recognize his mortality and the far-reaching impact of his life choices on others. This emotional struggle fosters a conflict between his prior skepticism and a burgeoning capacity for empathy.\n\nUltimately, by the conclusion of the story, Scrooge undergoes a significant transformation. Emerging from his encounters with a newfound sense of joy and commitment to kindness, he embraces the spirit of Christmas and strives to positively influence the lives of those around him, especially Bob Cratchit and his family. His evolution from a grumpy, indifferent man to one filled with goodwill encapsulates the narrative's themes of redemption, compassion, and community, demonstrating that change is not only possible but that love and generosity can triumph over isolation and greed.", 'source_id': 'chunk-91614df5cb74cbe5e109a338a82041e9chunk-83ac129dc9b56f84c46760d153d68e93chunk-b0f459f5af1c3a5e0b92cbe4ee48b77bchunk-359187e7571bda4b0b08b2e0b6581e52chunk-89777b838d5447c7bd1ec11282c4ee89chunk-8590d9263cd2cd4fa583c432fc54e6c3chunk-02baee20cc9463dbe08170a8e1043e32chunk-74e2466de2f67fd710ef2f20c0a8d9e0chunk-5dac41b3f9eeaf794f0147400b1718cdchunk-91572b3cd42786ba4cb2f180ca25cbf4chunk-bb21d58d36c6306fd8810ddd51c4a971chunk-43c9bee23adfa77aa9dedd22401bba7dchunk-da2472b4ef2a535b62908f14d0fb0ca9chunk-f1a4fbcf1ed86864b9bfd5e8dba4c683chunk-1aa50206d02ed89418f65f97c6441d1cchunk-cb661c37436355ccec2769b1d0350c5fchunk-54bdd22db1f84a965b5f4c06c9216d8dchunk-19d72c57ae3408758b18d2568e86dc6bchunk-b2f98bc7abb0c67d4c86055c7fd72218chunk-e7637ff18c5ded77a68cce0a87883fadchunk-e1f29eeadc1d8ab46dc8a0bbd3c56b64chunk-90d5764e301321c087f5a8f78b73a145chunk-9c43dac2fcd5b578242d907ea6f8fc7bchunk-90b95db5c53e4364a6bee36b7aa4d70fchunk-99b0ec7f7e006561352b5d65e849611dchunk-773d0df1dd25c356f7b771d780583e09chunk-d9aac3484185ac66045df92214d245d5chunk-8f738cb25d60a7dab782162d9d0a25edchunk-94bea83e7153fc2064aa382b494936a1chunk-c7b10789a9cb0af6c553730b29bd9034chunk-c6c248858d1b13ab7ee9ca13c1aeed6bchunk-503f0bfa5453467c7c61d160a3540ecachunk-843b5b2f944c7413d9ca876e2e2f151f'} +2024-10-30 05:53:55,826 - lightrag - INFO - _check_edge_existence:query:MATCH (a:`A CHRISTMAS CAROL`)-[r]-(b:`PROJECT GUTENBERG`) RETURN COUNT(r) > 0 AS edgeExists:result:True +2024-10-30 05:53:55,976 - lightrag - INFO - get_edge:query: + MATCH (source:`A CHRISTMAS CAROL`)-[r]-(target:`PROJECT GUTENBERG`) + RETURN r + :result:, ) type='DIRECTED' properties={'keywords': '"publication, accessibility"', 'description': '"A Christmas Carol is published and distributed freely through Project Gutenberg, making it accessible to a global audience."', 'weight': 9.0, 'source_id': 'chunk-9e3921da66da5d761ab73cd849af6c43'}> +2024-10-30 05:53:56,130 - lightrag - INFO - _check_edge_existence:query:MATCH (a:`A CHRISTMAS CAROL`)-[r]-(b:`CHARLES DICKENS`) RETURN COUNT(r) > 0 AS edgeExists:result:True +2024-10-30 05:53:56,267 - lightrag - INFO - get_edge:query: + MATCH (source:`A CHRISTMAS CAROL`)-[r]-(target:`CHARLES DICKENS`) + RETURN r + :result:, ) type='DIRECTED' properties={'keywords': '"author, literary impact"', 'description': '"Charles Dickens authored A Christmas Carol, which reflects his views on Victorian society and social issues."', 'weight': 10.0, 'source_id': 'chunk-9e3921da66da5d761ab73cd849af6c43'}> +2024-10-30 05:53:56,406 - lightrag - INFO - _check_edge_existence:query:MATCH (a:`A CHRISTMAS CAROL`)-[r]-(b:`ARTHUR RACKHAM`) RETURN COUNT(r) > 0 AS edgeExists:result:True +2024-10-30 05:53:56,538 - lightrag - INFO - get_edge:query: + MATCH (source:`A CHRISTMAS CAROL`)-[r]-(target:`ARTHUR RACKHAM`) + RETURN r + :result:, ) type='DIRECTED' properties={'keywords': '"illustration, artistic contribution"', 'description': '"Arthur Rackham illustrated A Christmas Carol, enhancing the visual experience of Dickens\' narrative."', 'weight': 8.0, 'source_id': 'chunk-9e3921da66da5d761ab73cd849af6c43'}> +2024-10-30 05:53:56,673 - lightrag - INFO - _check_edge_existence:query:MATCH (a:`BOB CRATCHIT`)-[r]-(b:`EBENEZER SCROOGE`) RETURN COUNT(r) > 0 AS edgeExists:result:True +2024-10-30 05:53:56,808 - lightrag - INFO - get_edge:query: + MATCH (source:`BOB CRATCHIT`)-[r]-(target:`EBENEZER SCROOGE`) + RETURN r + :result:, ) type='DIRECTED' properties={'keywords': '"workplace dynamics, social contrast"', 'description': '"Bob Cratchit works for Ebenezer Scrooge, embodying the struggles of the working class in contrast to Scrooge\'s miserliness."', 'weight': 7.0, 'source_id': 'chunk-9e3921da66da5d761ab73cd849af6c43'}> +2024-10-30 05:53:56,948 - lightrag - INFO - _check_edge_existence:query:MATCH (a:`BOB CRATCHIT`)-[r]-(b:`TINY TIM`) RETURN COUNT(r) > 0 AS edgeExists:result:True +2024-10-30 05:53:57,080 - lightrag - INFO - get_edge:query: + MATCH (source:`BOB CRATCHIT`)-[r]-(target:`TINY TIM`) + RETURN r + :result:, ) type='DIRECTED' properties={'keywords': '"family bond, care""family bond, love""family love, vulnerability""family, struggle""family, support""father-son bond, care"', 'description': '"Bob Cratchit deeply cares for Tiny Tim, demonstrating emotional support and love, especially in moments of distress.""Bob Cratchit expresses love and concern for his son Tiny Tim during the Christmas dinner, highlighting a strong familial bond.""Bob Cratchit is Tiny Tim\'s father, and the turkey Scrooge plans to send will impact Tiny Tim\'s well-being.""Bob Cratchit is Tiny Tim\'s father, and their relationship highlights the theme of family struggle and love, especially during Christmas.""Bob Cratchit shows deep care for Tiny Tim, helping him and expressing pride in his strength and character despite challenges.""Bob Cratchit\'s concern for Tiny Tim illustrates the deep familial love and the challenges facing the Cratchit family."', 'weight': 48.0, 'source_id': 'chunk-83ac129dc9b56f84c46760d153d68e93chunk-503f0bfa5453467c7c61d160a3540ecachunk-1d4b58de5429cd1261370c231c8673e8chunk-90b95db5c53e4364a6bee36b7aa4d70fchunk-94bea83e7153fc2064aa382b494936a1chunk-7e2e7ebcc19a53b399dc03aded4743e7'}> +2024-10-30 05:53:57,216 - lightrag - INFO - _check_edge_existence:query:MATCH (a:`EBENEZER SCROOGE`)-[r]-(b:`MR. FEZZIWIG`) RETURN COUNT(r) > 0 AS edgeExists:result:True +2024-10-30 05:53:57,350 - lightrag - INFO - get_edge:query: + MATCH (source:`EBENEZER SCROOGE`)-[r]-(target:`MR. FEZZIWIG`) + RETURN r + :result:, ) type='DIRECTED' properties={'keywords': '"contrast, influence"', 'description': '"Mr. Fezziwig represents a contrast to Ebenezer Scrooge\'s character, showing kindness and generosity in business."', 'weight': 7.0, 'source_id': 'chunk-9e3921da66da5d761ab73cd849af6c43'}> +2024-10-30 05:53:57,487 - lightrag - INFO - _check_edge_existence:query:MATCH (a:`GHOST OF CHRISTMAS PAST`)-[r]-(b:`SCROOGE`) RETURN COUNT(r) > 0 AS edgeExists:result:True +2024-10-30 05:53:57,621 - lightrag - INFO - get_edge:query: + MATCH (source:`GHOST OF CHRISTMAS PAST`)-[r]-(target:`SCROOGE`) + RETURN r + :result:, ) type='DIRECTED' properties={'keywords': '"reflection, past influence"', 'description': '"Scrooge engages with the Ghost of Christmas Past to explore his earlier life, seeking insight into his current state."', 'weight': 8.0, 'source_id': 'chunk-bb21d58d36c6306fd8810ddd51c4a971'}> +2024-10-30 05:53:57,763 - lightrag - INFO - _check_edge_existence:query:MATCH (a:`GHOST OF CHRISTMAS PRESENT`)-[r]-(b:`SCROOGE`) RETURN COUNT(r) > 0 AS edgeExists:result:True +2024-10-30 05:53:57,899 - lightrag - INFO - get_edge:query: + MATCH (source:`GHOST OF CHRISTMAS PRESENT`)-[r]-(target:`SCROOGE`) + RETURN r + :result:, ) type='DIRECTED' properties={'keywords': '"transformation, mentoring"', 'description': '"Scrooge is led by the Ghost of Christmas Present, who teaches him valuable lessons about generosity and compassion."', 'weight': 10.0, 'source_id': 'chunk-843b5b2f944c7413d9ca876e2e2f151f'}> +2024-10-30 05:53:58,042 - lightrag - INFO - _check_edge_existence:query:MATCH (a:`GHOST OF CHRISTMAS YET TO COME`)-[r]-(b:`SCROOGE`) RETURN COUNT(r) > 0 AS edgeExists:result:True +2024-10-30 05:53:58,178 - lightrag - INFO - get_edge:query: + MATCH (source:`GHOST OF CHRISTMAS YET TO COME`)-[r]-(target:`SCROOGE`) + RETURN r + :result:, ) type='DIRECTED' properties={'keywords': '"forewarning, change""future consequences, redemption"', 'description': '"The Ghost of Christmas Yet to Come presents a foreboding vision of Scrooge\'s future, driving home the need for personal change.""The Ghost shows Scrooge visions of the future, challenging him to change his ways to avoid a grim destiny."', 'weight': 19.0, 'source_id': 'chunk-02baee20cc9463dbe08170a8e1043e32chunk-9e3921da66da5d761ab73cd849af6c43'}> +2024-10-30 05:53:58,320 - lightrag - INFO - _check_edge_existence:query:MATCH (a:`FRED`)-[r]-(b:`SCROOGE`) RETURN COUNT(r) > 0 AS edgeExists:result:True +2024-10-30 05:53:58,452 - lightrag - INFO - get_edge:query: + MATCH (source:`FRED`)-[r]-(target:`SCROOGE`) + RETURN r + :result:, ) type='DIRECTED' properties={'keywords': '"family connection, goodwill""family connection, reconciliation""family, transformation""rejection, familial dynamics"', 'description': '"Scrooge and Fred share a familial bond, with Fred expressing goodwill and celebrating Scrooge despite his uncle\'s previous behavior.""Scrooge expresses a desire to visit Fred, which signifies a reconciliatory gesture toward his family.""Scrooge surprises Fred with his unexpected visit, indicating a shift in their familial relationship and Scrooge\'s attitude toward family.""Scrooge\'s interaction with Fred emphasizes his rejection of familial warmth during the Christmas season."', 'weight': 30.0, 'source_id': 'chunk-8f738cb25d60a7dab782162d9d0a25edchunk-94bea83e7153fc2064aa382b494936a1chunk-89777b838d5447c7bd1ec11282c4ee89chunk-e7637ff18c5ded77a68cce0a87883fad'}> +2024-10-30 05:53:58,585 - lightrag - INFO - _check_edge_existence:query:MATCH (a:`FRED`)-[r]-(b:`GHOST OF CHRISTMAS PRESENT`) RETURN COUNT(r) > 0 AS edgeExists:result:True +2024-10-30 05:53:58,720 - lightrag - INFO - get_edge:query: + MATCH (source:`FRED`)-[r]-(target:`GHOST OF CHRISTMAS PRESENT`) + RETURN r + :result:, ) type='DIRECTED' properties={'keywords': '"celebration, Christmas spirit"', 'description': '"Fred is celebrated by the Ghost of Christmas Present as a symbol of Christmas spirit, highlighting the contrast with Scrooge."', 'weight': 8.0, 'source_id': 'chunk-9e3921da66da5d761ab73cd849af6c43'}> +2024-10-30 05:53:58,862 - lightrag - INFO - _check_edge_existence:query:MATCH (a:`BOB CRATCHIT`)-[r]-(b:`MRS. CRATCHIT`) RETURN COUNT(r) > 0 AS edgeExists:result:True +2024-10-30 05:53:58,993 - lightrag - INFO - get_edge:query: + MATCH (source:`BOB CRATCHIT`)-[r]-(target:`MRS. CRATCHIT`) + RETURN r + :result:, ) type='DIRECTED' properties={'keywords': '"family unity, celebration""partnership, family unity"', 'description': '"Bob and Mrs. Cratchit represent a family working together to create a festive and warm environment despite their limited means.""Mrs. Cratchit supports Bob Cratchit in his parenting efforts and encourages the family’s unity during challenging times."', 'weight': 16.0, 'source_id': 'chunk-1d4b58de5429cd1261370c231c8673e8chunk-b0f459f5af1c3a5e0b92cbe4ee48b77b'}> +2024-10-30 05:53:59,130 - lightrag - INFO - _check_edge_existence:query:MATCH (a:`GHOST OF CHRISTMAS PRESENT`)-[r]-(b:`TINY TIM`) RETURN COUNT(r) > 0 AS edgeExists:result:True +2024-10-30 05:53:59,263 - lightrag - INFO - get_edge:query: + MATCH (source:`GHOST OF CHRISTMAS PRESENT`)-[r]-(target:`TINY TIM`) + RETURN r + :result:, ) type='DIRECTED' properties={'keywords': '"compassion, family"', 'description': '"The Ghost of Christmas Present reveals Tiny Tim’s struggles and optimism, emphasizing themes of compassion and family."', 'weight': 9.0, 'source_id': 'chunk-9e3921da66da5d761ab73cd849af6c43'}> +2024-10-30 05:53:59,399 - lightrag - INFO - _check_edge_existence:query:MATCH (a:`BOB CRATCHIT`)-[r]-(b:`MARTHA CRATCHIT`) RETURN COUNT(r) > 0 AS edgeExists:result:True +2024-10-30 05:53:59,535 - lightrag - INFO - get_edge:query: + MATCH (source:`BOB CRATCHIT`)-[r]-(target:`MARTHA CRATCHIT`) + RETURN r + :result:, ) type='DIRECTED' properties={'keywords': '"family bond, affection"', 'description': '"Martha shows affection for Bob Cratchit upon her arrival, indicating a warm father-daughter relationship within the family."', 'weight': 7.0, 'source_id': 'chunk-7e2e7ebcc19a53b399dc03aded4743e7'}> +2024-10-30 05:53:59,669 - lightrag - INFO - _check_edge_existence:query:MATCH (a:`MR. FEZZIWIG`)-[r]-(b:`SCROOGE`) RETURN COUNT(r) > 0 AS edgeExists:result:True +2024-10-30 05:53:59,800 - lightrag - INFO - get_edge:query: + MATCH (source:`MR. FEZZIWIG`)-[r]-(target:`SCROOGE`) + RETURN r + :result:, ) type='DIRECTED' properties={'keywords': '"kindness, influence"', 'description': '"Mr. Fezziwig\'s kindness towards employees influences Scrooge\'s eventual change in attitude toward generosity and business."', 'weight': 8.0, 'source_id': 'chunk-9e3921da66da5d761ab73cd849af6c43'}> +2024-10-30 05:53:59,940 - lightrag - INFO - _check_edge_existence:query:MATCH (a:`GHOST OF JACOB MARLEY`)-[r]-(b:`SCROOGE`) RETURN COUNT(r) > 0 AS edgeExists:result:True +2024-10-30 05:54:00,074 - lightrag - INFO - get_edge:query: + MATCH (source:`GHOST OF JACOB MARLEY`)-[r]-(target:`SCROOGE`) + RETURN r + :result:, ) type='DIRECTED' properties={'keywords': '"warning, transformation"', 'description': '"Jacob Marley appears to Scrooge as a warning and catalyst for his eventual transformation into a better person."', 'weight': 9.0, 'source_id': 'chunk-9e3921da66da5d761ab73cd849af6c43'}> +2024-10-30 05:54:00,216 - lightrag - INFO - _check_edge_existence:query:MATCH (a:`FAN`)-[r]-(b:`SCROOGE`) RETURN COUNT(r) > 0 AS edgeExists:result:True +2024-10-30 05:54:00,351 - lightrag - INFO - get_edge:query: + MATCH (source:`FAN`)-[r]-(target:`SCROOGE`) + RETURN r + :result:, ) type='DIRECTED' properties={'keywords': '"family, joy lost""sibling bond, nostalgia"', 'description': '"Fan\'s loving relationship with her brother Scrooge reflects the lost potential for joy in his life due to his choices.""Scrooge and Fan share a sibling bond, with Fan representing innocence and happiness from their childhood, which evokes fond memories for Scrooge."', 'weight': 14.0, 'source_id': 'chunk-c6c248858d1b13ab7ee9ca13c1aeed6bchunk-9e3921da66da5d761ab73cd849af6c43'}> +2024-10-30 05:54:00,487 - lightrag - INFO - _check_edge_existence:query:MATCH (a:`MR. FEZZIWIG`)-[r]-(b:`MRS. FEZZIWIG`) RETURN COUNT(r) > 0 AS edgeExists:result:True +2024-10-30 05:54:00,623 - lightrag - INFO - get_edge:query: + MATCH (source:`MR. FEZZIWIG`)-[r]-(target:`MRS. FEZZIWIG`) + RETURN r + :result:, ) type='DIRECTED' properties={'keywords': '"partnership, Christmas joy"', 'description': '"Mr. and Mrs. Fezziwig together create a joyful environment during Christmas, representing partnership and generosity."', 'weight': 8.0, 'source_id': 'chunk-9e3921da66da5d761ab73cd849af6c43'}> +2024-10-30 05:54:00,759 - lightrag - INFO - _check_edge_existence:query:MATCH (a:`FEZZIWIG`)-[r]-(b:`SCROOGE`) RETURN COUNT(r) > 0 AS edgeExists:result:True +2024-10-30 05:54:00,895 - lightrag - INFO - get_edge:query: + MATCH (source:`FEZZIWIG`)-[r]-(target:`SCROOGE`) + RETURN r + :result:, ) type='DIRECTED' properties={'keywords': '"kindness, mentorship""reflection, influence"', 'description': '"Scrooge reflects positively on Fezziwig\'s past actions, acknowledging the happiness and gratitude he inspired in people.""Scrooge reminisces about Fezziwig\'s kindness during his apprenticeship, comparing his past self to his current state."', 'weight': 16.0, 'source_id': 'chunk-b2f98bc7abb0c67d4c86055c7fd72218chunk-c6c248858d1b13ab7ee9ca13c1aeed6b'}> +2024-10-30 05:54:01,037 - lightrag - INFO - _check_edge_existence:query:MATCH (a:`MARLEY`)-[r]-(b:`SCROOGE`) RETURN COUNT(r) > 0 AS edgeExists:result:True +2024-10-30 05:54:01,172 - lightrag - INFO - get_edge:query: + MATCH (source:`MARLEY`)-[r]-(target:`SCROOGE`) + RETURN r + :result:, ) type='DIRECTED' properties={'keywords': '"mourning, partnership""past influence, personal history""redemption, confrontation""supernatural connection, past relationships"', 'description': '"Marley’s influence and past relationship with Scrooge is indicated, suggesting a connection that impacts Scrooge\'s character growth.""Scrooge is deeply affected by Marley\'s death, illustrated through his role as the sole executor and mourner of Marley.""Scrooge reflects on Marley, revealing his past connection and the haunting aspect of Marley\'s death, which influences Scrooge\'s character arc.""Scrooge\'s encounter with Marley’s Ghost serves as a confrontation with his past self and the life choices he regrets, depicting the theme of redemption."', 'weight': 32.0, 'source_id': 'chunk-d9aac3484185ac66045df92214d245d5chunk-843b5b2f944c7413d9ca876e2e2f151fchunk-89777b838d5447c7bd1ec11282c4ee89chunk-9c43dac2fcd5b578242d907ea6f8fc7b'}> +2024-10-30 05:54:01,313 - lightrag - INFO - _check_edge_existence:query:MATCH (a:`CHRISTMAS`)-[r]-(b:`SCROOGE`) RETURN COUNT(r) > 0 AS edgeExists:result:True +2024-10-30 05:54:01,444 - lightrag - INFO - get_edge:query: + MATCH (source:`CHRISTMAS`)-[r]-(target:`SCROOGE`) + RETURN r + :result:, ) type='DIRECTED' properties={'keywords': '"character development, festive spirit""conflict, holiday spirit""contrast, seasonal significance""disconnection, festive spirit""holiday significance, reflection""reflection, redemption""seasonal significance, emotional reflection""transformation, festive spirit""transformation, holiday significance""transformation, holiday spirit"', 'description': '"Christmas is a central theme that invokes Scrooge\'s memories of his past, his feelings of loneliness, and his desire to connect.""Christmas serves as a focal point for Scrooge\'s emotional reflections on joy and his disconnect from societal celebrations.""Christmas serves as the catalyst for Scrooge\'s transformation, highlighting themes of giving and compassion.""Scrooge expresses disdain for Christmas, viewing it as a burden rather than a celebration.""Scrooge\'s attitude towards Christmas highlights his disconnection from the festive spirit and charity associated with the holiday.""Scrooge\'s character contrasts sharply with the joy of Christmas, highlighting his disdain for the festive season.""Scrooge\'s experience during the Christmas event highlights the transformation of his character and the spirit of the holiday.""Scrooge\'s journey with the Spirit ultimately leads him to reflect on the meaning of Christmas and its impact on human connections.""Scrooge\'s transformation and newfound joy are directly linked to the spirit of Christmas.""Scrooge\'s transformation is centered around the spirit of Christmas, which he learns to embrace and celebrate.""Scrooge\'s views on Christmas evolve as he witnesses the joy and familial love associated with the holiday, marking a shift in his character."', 'weight': 95.0, 'source_id': 'chunk-91614df5cb74cbe5e109a338a82041e9chunk-8f738cb25d60a7dab782162d9d0a25edchunk-e7637ff18c5ded77a68cce0a87883fadchunk-8590d9263cd2cd4fa583c432fc54e6c3chunk-54bdd22db1f84a965b5f4c06c9216d8dchunk-90d5764e301321c087f5a8f78b73a145chunk-da2472b4ef2a535b62908f14d0fb0ca9chunk-94bea83e7153fc2064aa382b494936a1chunk-89777b838d5447c7bd1ec11282c4ee89chunk-99b0ec7f7e006561352b5d65e849611dchunk-74e2466de2f67fd710ef2f20c0a8d9e0'}> +2024-10-30 05:54:01,583 - lightrag - INFO - _check_edge_existence:query:MATCH (a:`SCROOGE`)-[r]-(b:`THE WAREHOUSE`) RETURN COUNT(r) > 0 AS edgeExists:result:True +2024-10-30 05:54:01,714 - lightrag - INFO - get_edge:query: + MATCH (source:`SCROOGE`)-[r]-(target:`THE WAREHOUSE`) + RETURN r + :result:, ) type='DIRECTED' properties={'keywords': '"memories, apprenticeship"', 'description': '"Scrooge\'s connection to the Warehouse emphasizes his memories of apprenticeship and his past experiences."', 'weight': 8.0, 'source_id': 'chunk-c6c248858d1b13ab7ee9ca13c1aeed6b'}> +2024-10-30 05:54:01,859 - lightrag - INFO - _check_edge_existence:query:MATCH (a:`JOE`)-[r]-(b:`THE WOMAN`) RETURN COUNT(r) > 0 AS edgeExists:result:True +2024-10-30 05:54:01,998 - lightrag - INFO - get_edge:query: + MATCH (source:`JOE`)-[r]-(target:`THE WOMAN`) + RETURN r + :result:, ) type='DIRECTED' properties={'keywords': '"dialogue, humor, death""humor, interaction"', 'description': '"Joe and The Woman engage in dialogue about the deceased\'s belongings, showcasing their interactions and differing attitudes towards death.""Joe and The Woman share a humorous exchange about the bed-curtains, reflecting the jovial spirit of the gathering."', 'weight': 12.0, 'source_id': 'chunk-89777b838d5447c7bd1ec11282c4ee89chunk-e1f29eeadc1d8ab46dc8a0bbd3c56b64'}> +2024-10-30 05:54:02,142 - lightrag - INFO - _check_edge_existence:query:MATCH (a:`SCROOGE`)-[r]-(b:`TIM`) RETURN COUNT(r) > 0 AS edgeExists:result:True +2024-10-30 05:54:02,278 - lightrag - INFO - get_edge:query: + MATCH (source:`SCROOGE`)-[r]-(target:`TIM`) + RETURN r + :result:, ) type='DIRECTED' properties={'keywords': '"familial connection, emotional depth"', 'description': '"Scrooge\'s connection to Tim emphasizes emotional depth, reflecting on family and lost connections as part of his character development."', 'weight': 8.0, 'source_id': 'chunk-89777b838d5447c7bd1ec11282c4ee89'}> +2024-10-30 05:54:02,414 - lightrag - INFO - _check_edge_existence:query:MATCH (a:`OLD SCROOGE`)-[r]-(b:`SCROOGE`) RETURN COUNT(r) > 0 AS edgeExists:result:True +2024-10-30 05:54:02,549 - lightrag - INFO - get_edge:query: + MATCH (source:`OLD SCROOGE`)-[r]-(target:`SCROOGE`) + RETURN r + :result:, ) type='DIRECTED' properties={'keywords': '"character history, development"', 'description': '"Scrooge\'s history is revealed through the mention of Old Scrooge, indicating his past beliefs and practices that shape his current persona."', 'weight': 7.0, 'source_id': 'chunk-89777b838d5447c7bd1ec11282c4ee89'}> +2024-10-30 05:54:02,688 - lightrag - INFO - _check_edge_existence:query:MATCH (a:`MARLEY'S FUNERAL`)-[r]-(b:`SCROOGE`) RETURN COUNT(r) > 0 AS edgeExists:result:True +2024-10-30 05:54:02,817 - lightrag - INFO - get_edge:query: + MATCH (source:`MARLEY'S FUNERAL`)-[r]-(target:`SCROOGE`) + RETURN r + :result:, ) type='DIRECTED' properties={'keywords': '"loss, character journey"', 'description': '"Marley\'s Funeral signifies the beginning of Scrooge\'s emotional journey, showcasing his reaction to loss and setting the stage for the narrative."', 'weight': 9.0, 'source_id': 'chunk-89777b838d5447c7bd1ec11282c4ee89'}> +2024-10-30 05:54:02,957 - lightrag - INFO - _check_edge_existence:query:MATCH (a:`SCROOGE`)-[r]-(b:`SCROOGE'S NEPHEW`) RETURN COUNT(r) > 0 AS edgeExists:result:True +2024-10-30 05:54:03,090 - lightrag - INFO - get_edge:query: + MATCH (source:`SCROOGE`)-[r]-(target:`SCROOGE'S NEPHEW`) + RETURN r + :result:, ) type='DIRECTED' properties={'keywords': '"family conflict, differing perspectives""family dynamics, contrasting views""family dynamics, opposing views"', 'description': '"Scrooge\'s Nephew contrasts with Scrooge, advocating for merriment and showing pity for his uncle\'s ill tempers.""Scrooge\'s Nephew tries to cheer Scrooge up and promote the joy of Christmas, but is met with rejection and negativity.""Scrooge\'s Nephew tries to convince Scrooge of the joys of Christmas, illustrating the conflict between their differing views on the holiday."', 'weight': 24.0, 'source_id': 'chunk-773d0df1dd25c356f7b771d780583e09chunk-74e2466de2f67fd710ef2f20c0a8d9e0chunk-5dac41b3f9eeaf794f0147400b1718cd'}> +2024-10-30 05:54:03,230 - lightrag - INFO - _check_edge_existence:query:MATCH (a:`CHRISTMAS`)-[r]-(b:`SCROOGE'S NEPHEW`) RETURN COUNT(r) > 0 AS edgeExists:result:True +2024-10-30 05:54:03,368 - lightrag - INFO - get_edge:query: + MATCH (source:`CHRISTMAS`)-[r]-(target:`SCROOGE'S NEPHEW`) + RETURN r + :result:, ) type='DIRECTED' properties={'keywords': '"advocacy for holiday spirit, family dynamics"', 'description': '"Scrooge\'s Nephew defends the positive aspects of Christmas, contrasting Scrooge\'s view that the holiday is pointless."', 'weight': 9.0, 'source_id': 'chunk-5dac41b3f9eeaf794f0147400b1718cd'}> +2024-10-30 05:54:03,502 - lightrag - INFO - _check_edge_existence:query:MATCH (a:`COUNTING-HOUSE`)-[r]-(b:`SCROOGE`) RETURN COUNT(r) > 0 AS edgeExists:result:True +2024-10-30 05:54:03,630 - lightrag - INFO - get_edge:query: + MATCH (source:`COUNTING-HOUSE`)-[r]-(target:`SCROOGE`) + RETURN r + :result:, ) type='DIRECTED' properties={'keywords': '"isolation, work environment""reflection, priorities"', 'description': '"Scrooge reflects on his life spent in the Counting-house, which represents his previous priorities focused on business over personal connections.""Scrooge\'s counting-house is a reflection of his cold character and attitude towards life, where he isolates himself from human interactions."', 'weight': 16.0, 'source_id': 'chunk-74e2466de2f67fd710ef2f20c0a8d9e0chunk-359187e7571bda4b0b08b2e0b6581e52'}> +2024-10-30 05:54:03,768 - lightrag - INFO - _check_edge_existence:query:MATCH (a:`BEGGARS`)-[r]-(b:`SCROOGE`) RETURN COUNT(r) > 0 AS edgeExists:result:True +2024-10-30 05:54:03,905 - lightrag - INFO - get_edge:query: + MATCH (source:`BEGGARS`)-[r]-(target:`SCROOGE`) + RETURN r + :result:, ) type='DIRECTED' properties={'keywords': '"lack of compassion, social isolation"', 'description': '"Beggars do not seek help from Scrooge due to his reputation, highlighting his inability to connect and empathize with those in need."', 'weight': 6.0, 'source_id': 'chunk-74e2466de2f67fd710ef2f20c0a8d9e0'}> +2024-10-30 05:54:04,045 - lightrag - INFO - _check_edge_existence:query:MATCH (a:`CHILDREN`)-[r]-(b:`SCROOGE`) RETURN COUNT(r) > 0 AS edgeExists:result:True +2024-10-30 05:54:04,179 - lightrag - INFO - get_edge:query: + MATCH (source:`CHILDREN`)-[r]-(target:`SCROOGE`) + RETURN r + :result:, ) type='DIRECTED' properties={'keywords': '"longing, innocence"', 'description': '"Scrooge\'s reaction to the Children he observes in his memories reveals his longing for the happiness he once knew but has since lost."', 'weight': 7.0, 'source_id': 'chunk-bb21d58d36c6306fd8810ddd51c4a971'}> +2024-10-30 05:54:04,321 - lightrag - INFO - _check_edge_existence:query:MATCH (a:`COLD WEATHER`)-[r]-(b:`SCROOGE`) RETURN COUNT(r) > 0 AS edgeExists:result:True +2024-10-30 05:54:04,461 - lightrag - INFO - get_edge:query: + MATCH (source:`COLD WEATHER`)-[r]-(target:`SCROOGE`) + RETURN r + :result:, ) type='DIRECTED' properties={'keywords': '"atmosphere, personality mirror"', 'description': '"The cold weather reflects Scrooge\'s icy demeanor, emphasizing his negative attitude towards life and others."', 'weight': 9.0, 'source_id': 'chunk-74e2466de2f67fd710ef2f20c0a8d9e0'}> +2024-10-30 05:54:04,608 - lightrag - INFO - _check_edge_existence:query:MATCH (a:`FOG`)-[r]-(b:`SCROOGE`) RETURN COUNT(r) > 0 AS edgeExists:result:True +2024-10-30 05:54:04,741 - lightrag - INFO - get_edge:query: + MATCH (source:`FOG`)-[r]-(target:`SCROOGE`) + RETURN r + :result:, ) type='DIRECTED' properties={'keywords': '"atmosphere, emotional reflection"', 'description': '"Fog represents the obscured vision of Scrooge\'s soul and emotions, aligning with his unknowable nature."', 'weight': 8.0, 'source_id': 'chunk-d9aac3484185ac66045df92214d245d5'}> +2024-10-30 05:54:04,875 - lightrag - INFO - _check_edge_existence:query:MATCH (a:`COURT`)-[r]-(b:`SCROOGE`) RETURN COUNT(r) > 0 AS edgeExists:result:True +2024-10-30 05:54:05,011 - lightrag - INFO - get_edge:query: + MATCH (source:`COURT`)-[r]-(target:`SCROOGE`) + RETURN r + :result:, ) type='DIRECTED' properties={'keywords': '"social contrast, isolation"', 'description': '"The court serves as a contrasting backdrop to Scrooge’s private space, where social warmth and interaction occur, which he actively avoids."', 'weight': 7.0, 'source_id': 'chunk-74e2466de2f67fd710ef2f20c0a8d9e0'}> +2024-10-30 05:54:05,151 - lightrag - INFO - _check_edge_existence:query:MATCH (a:`MARLEY`)-[r]-(b:`SCROOGE AND MARLEY'S`) RETURN COUNT(r) > 0 AS edgeExists:result:True +2024-10-30 05:54:05,291 - lightrag - INFO - get_edge:query: + MATCH (source:`MARLEY`)-[r]-(target:`SCROOGE AND MARLEY'S`) + RETURN r + :result:, ) type='DIRECTED' properties={'keywords': '"partnership, legacy"', 'description': '"Scrooge and Marley\'s is the business associated with Marley, emphasizing its history and the weight of Marley\'s legacy in shaping Scrooge\'s character."', 'weight': 6.0, 'source_id': 'chunk-5dac41b3f9eeaf794f0147400b1718cd'}> +2024-10-30 05:54:05,426 - lightrag - INFO - _check_edge_existence:query:MATCH (a:`CLERK`)-[r]-(b:`SCROOGE`) RETURN COUNT(r) > 0 AS edgeExists:result:True +2024-10-30 05:54:05,557 - lightrag - INFO - get_edge:query: + MATCH (source:`CLERK`)-[r]-(target:`SCROOGE`) + RETURN r + :result:, ) type='DIRECTED' properties={'keywords': '"employment relationship, respect"', 'description': '"The Clerk communicates with Scrooge about his work, highlighting the lack of mutual respect in their employer-employee relationship."', 'weight': 5.0, 'source_id': 'chunk-d9aac3484185ac66045df92214d245d5'}> +2024-10-30 05:54:05,691 - lightrag - INFO - _check_edge_existence:query:MATCH (a:`SCROOGE`)-[r]-(b:`THE GENTLEMEN`) RETURN COUNT(r) > 0 AS edgeExists:result:True +2024-10-30 05:54:05,825 - lightrag - INFO - get_edge:query: + MATCH (source:`SCROOGE`)-[r]-(target:`THE GENTLEMEN`) + RETURN r + :result:, ) type='DIRECTED' properties={'keywords': '"charity, social responsibility"', 'description': '"The Gentlemen approach Scrooge about donations for the poor, representing a charitable campaign that he strongly resists."', 'weight': 8.0, 'source_id': 'chunk-5dac41b3f9eeaf794f0147400b1718cd'}> +2024-10-30 05:54:05,960 - lightrag - INFO - _check_edge_existence:query:MATCH (a:`POOR AND DESTITUTE`)-[r]-(b:`SCROOGE`) RETURN COUNT(r) > 0 AS edgeExists:result:True +2024-10-30 05:54:06,095 - lightrag - INFO - get_edge:query: + MATCH (source:`POOR AND DESTITUTE`)-[r]-(target:`SCROOGE`) + RETURN r + :result:, ) type='DIRECTED' properties={'keywords': '"miserliness, social neglect"', 'description': '"Scrooge\'s reluctance to support the Poor and Destitute highlights his miserly nature and his antagonism toward societal responsibility."', 'weight': 7.0, 'source_id': 'chunk-5dac41b3f9eeaf794f0147400b1718cd'}> +2024-10-30 05:54:06,233 - lightrag - INFO - _check_edge_existence:query:MATCH (a:`CHRISTMAS-TIME`)-[r]-(b:`SCROOGE'S NEPHEW`) RETURN COUNT(r) > 0 AS edgeExists:result:True +2024-10-30 05:54:06,375 - lightrag - INFO - get_edge:query: + MATCH (source:`CHRISTMAS-TIME`)-[r]-(target:`SCROOGE'S NEPHEW`) + RETURN r + :result:, ) type='DIRECTED' properties={'keywords': '"celebration, family dynamics"', 'description': '"Scrooge\'s Nephew celebrates Christmas-Time as a period for kindness and charity, clashing with Scrooge\'s cynical view."', 'weight': 8.0, 'source_id': 'chunk-5dac41b3f9eeaf794f0147400b1718cd'}> +2024-10-30 05:54:06,511 - lightrag - INFO - _check_edge_existence:query:MATCH (a:`BEDLAM`)-[r]-(b:`SCROOGE`) RETURN COUNT(r) > 0 AS edgeExists:result:True +2024-10-30 05:54:06,645 - lightrag - INFO - get_edge:query: + MATCH (source:`BEDLAM`)-[r]-(target:`SCROOGE`) + RETURN r + :result:, ) type='DIRECTED' properties={'keywords': '"disdain, societal norms"', 'description': '"Scrooge invokes the concept of Bedlam to express his disbelief and frustration at the cheerfulness of others, implying a disdain for societal norms."', 'weight': 6.0, 'source_id': 'chunk-5dac41b3f9eeaf794f0147400b1718cd'}> +2024-10-30 05:54:06,779 - lightrag - INFO - _check_edge_existence:query:MATCH (a:`SCROOGE`)-[r]-(b:`THE GENTLEMAN`) RETURN COUNT(r) > 0 AS edgeExists:result:True +2024-10-30 05:54:06,918 - lightrag - INFO - get_edge:query: + MATCH (source:`SCROOGE`)-[r]-(target:`THE GENTLEMAN`) + RETURN r + :result:, ) type='DIRECTED' properties={'keywords': '"charity, conflict of values"', 'description': '"Scrooge and The Gentleman have opposing views on charity and helping the poor during Christmas, showing a stark contrast in values."', 'weight': 8.0, 'source_id': 'chunk-90d5764e301321c087f5a8f78b73a145'}> +2024-10-30 05:54:07,053 - lightrag - INFO - _check_edge_existence:query:MATCH (a:`THE GENTLEMAN`)-[r]-(b:`THE POOR LAW`) RETURN COUNT(r) > 0 AS edgeExists:result:True +2024-10-30 05:54:07,187 - lightrag - INFO - get_edge:query: + MATCH (source:`THE GENTLEMAN`)-[r]-(target:`THE POOR LAW`) + RETURN r + :result:, ) type='DIRECTED' properties={'keywords': '"charity, systemic support"', 'description': '"The Gentleman references the Poor Law as part of his argument for helping the needy, illustrating systemic support for the impoverished."', 'weight': 6.0, 'source_id': 'chunk-90d5764e301321c087f5a8f78b73a145'}> +2024-10-30 05:54:07,326 - lightrag - INFO - _check_edge_existence:query:MATCH (a:`THE POOR LAW`)-[r]-(b:`THE UNION WORKHOUSES`) RETURN COUNT(r) > 0 AS edgeExists:result:True +2024-10-30 05:54:07,465 - lightrag - INFO - get_edge:query: + MATCH (source:`THE POOR LAW`)-[r]-(target:`THE UNION WORKHOUSES`) + RETURN r + :result:, ) type='DIRECTED' properties={'keywords': '"support mechanisms, charity"', 'description': '"The Poor Law and Union Workhouses are connected as they both serve as mechanisms for helping the poor, albeit with differing implications for charity."', 'weight': 7.0, 'source_id': 'chunk-90d5764e301321c087f5a8f78b73a145'}> +2024-10-30 05:54:07,600 - lightrag - INFO - _check_edge_existence:query:MATCH (a:`THE LADY MAYOR`)-[r]-(b:`THE MANSION HOUSE`) RETURN COUNT(r) > 0 AS edgeExists:result:True +2024-10-30 05:54:07,734 - lightrag - INFO - get_edge:query: + MATCH (source:`THE LADY MAYOR`)-[r]-(target:`THE MANSION HOUSE`) + RETURN r + :result:, ) type='DIRECTED' properties={'keywords': '"holiday preparations, community significance"', 'description': '"The Lady Mayor prepares for Christmas festivities at the Mansion House, highlighting the importance of the event to the community."', 'weight': 8.0, 'source_id': 'chunk-90d5764e301321c087f5a8f78b73a145'}> +2024-10-30 05:54:07,874 - lightrag - INFO - _check_edge_existence:query:MATCH (a:`BOB CRATCHIT`)-[r]-(b:`SCROOGE`) RETURN COUNT(r) > 0 AS edgeExists:result:True +2024-10-30 05:54:08,008 - lightrag - INFO - get_edge:query: + MATCH (source:`BOB CRATCHIT`)-[r]-(target:`SCROOGE`) + RETURN r + :result:, ) type='DIRECTED' properties={'keywords': '"employment, generosity""employment, power dynamic""employment, social reflection""family dynamics, acknowledgment""generosity, relationship change""gratitude, redemption"', 'description': '"Bob Cratchit tries to maintain a positive atmosphere during the Christmas feast despite the negative association with Scrooge.""Bob praises Scrooge as \'The Founder of the Feast\', showing appreciation despite Scrooge’s previous miserliness.""Scrooge decides to send a turkey to Bob Cratchit, indicating a newfound kindness towards him and his family.""Scrooge is Bob Cratchit\'s employer, and he reflects on the challenges Bob faces regarding family and food on Christmas Day.".""Scrooge is the employer of Bob Cratchit, demonstrating a power dynamic characterized by Scrooge\'s harsh treatment and Bob\'s subservient role.""Scrooge reprimands Bob for arriving late, but ultimately decides to raise his salary, signaling a significant change in their employer-employee relationship."', 'weight': 40.0, 'source_id': 'chunk-503f0bfa5453467c7c61d160a3540ecachunk-90b95db5c53e4364a6bee36b7aa4d70fchunk-b0f459f5af1c3a5e0b92cbe4ee48b77bchunk-d9aac3484185ac66045df92214d245d5chunk-94bea83e7153fc2064aa382b494936a1chunk-19d72c57ae3408758b18d2568e86dc6b'}> +2024-10-30 05:54:08,147 - lightrag - INFO - _check_edge_existence:query:MATCH (a:`CHRISTMAS EVE`)-[r]-(b:`SCROOGE`) RETURN COUNT(r) > 0 AS edgeExists:result:True +2024-10-30 05:54:08,281 - lightrag - INFO - get_edge:query: + MATCH (source:`CHRISTMAS EVE`)-[r]-(target:`SCROOGE`) + RETURN r + :result:, ) type='DIRECTED' properties={'keywords': '"holiday spirit, character development"', 'description': '"Scrooge\'s actions and attitudes towards Christmas Eve highlight his disdain for traditional celebrations, setting the tone for his character arc."', 'weight': 8.0, 'source_id': 'chunk-d9aac3484185ac66045df92214d245d5'}> +2024-10-30 05:54:08,425 - lightrag - INFO - _check_edge_existence:query:MATCH (a:`BOB CRATCHIT`)-[r]-(b:`CHRISTMAS EVE`) RETURN COUNT(r) > 0 AS edgeExists:result:True +2024-10-30 05:54:08,559 - lightrag - INFO - get_edge:query: + MATCH (source:`BOB CRATCHIT`)-[r]-(target:`CHRISTMAS EVE`) + RETURN r + :result:, ) type='DIRECTED' properties={'keywords': '"celebration, contrast"', 'description': '"Bob Cratchit embodies the joy of Christmas Eve while Scrooge\'s perspective starkly contrasts with Bob\'s happiness during the holiday season."', 'weight': 5.0, 'source_id': 'chunk-d9aac3484185ac66045df92214d245d5'}> +2024-10-30 05:54:08,695 - lightrag - INFO - _check_edge_existence:query:MATCH (a:`SCROOGE`)-[r]-(b:`THE COUNTING-HOUSE`) RETURN COUNT(r) > 0 AS edgeExists:result:True +2024-10-30 05:54:08,828 - lightrag - INFO - get_edge:query: + MATCH (source:`SCROOGE`)-[r]-(target:`THE COUNTING-HOUSE`) + RETURN r + :result:, ) type='DIRECTED' properties={'keywords': '"work environment, character development""work environment, personality reflection"', 'description': '"Scrooge\'s work environment reflects his personality, being cold and uninviting, mirroring his discontent with life.""The Counting-House is where Scrooge works, illustrating the environment that shapes his bleak personality."', 'weight': 14.0, 'source_id': 'chunk-d9aac3484185ac66045df92214d245d5chunk-74e2466de2f67fd710ef2f20c0a8d9e0'}> +2024-10-30 05:54:08,968 - lightrag - INFO - _check_edge_existence:query:MATCH (a:`SCROOGE`)-[r]-(b:`THE KNOCKER`) RETURN COUNT(r) > 0 AS edgeExists:result:True +2024-10-30 05:54:09,101 - lightrag - INFO - get_edge:query: + MATCH (source:`SCROOGE`)-[r]-(target:`THE KNOCKER`) + RETURN r + :result:, ) type='DIRECTED' properties={'keywords': '"appreciation, transformation""symbolism, transformation"', 'description': '"Scrooge admires the knocker at his door, marking a positive change in his attitude towards life and surroundings.""The Knocker, transforming into Marley\'s face, symbolizes Scrooge\'s ghostly past and impending redemption challenges."', 'weight': 15.0, 'source_id': 'chunk-d9aac3484185ac66045df92214d245d5chunk-8f738cb25d60a7dab782162d9d0a25ed'}> +2024-10-30 05:54:09,235 - lightrag - INFO - _check_edge_existence:query:MATCH (a:`SCROOGE`)-[r]-(b:`THE YARD`) RETURN COUNT(r) > 0 AS edgeExists:result:True +2024-10-30 05:54:09,372 - lightrag - INFO - get_edge:query: + MATCH (source:`SCROOGE`)-[r]-(target:`THE YARD`) + RETURN r + :result:, ) type='DIRECTED' properties={'keywords': '"isolation, emotional landscape"', 'description': '"The Yard represents the isolation in Scrooge\'s life, physically and metaphorically reflecting his emotional state."', 'weight': 8.0, 'source_id': 'chunk-d9aac3484185ac66045df92214d245d5'}> +2024-10-30 05:54:09,510 - lightrag - INFO - _check_edge_existence:query:MATCH (a:`SCROOGE`)-[r]-(b:`THE FOG AND FROST`) RETURN COUNT(r) > 0 AS edgeExists:result:True +2024-10-30 05:54:09,640 - lightrag - INFO - get_edge:query: + MATCH (source:`SCROOGE`)-[r]-(target:`THE FOG AND FROST`) + RETURN r + :result:, ) type='DIRECTED' properties={'keywords': '"atmosphere, emotional coldness"', 'description': '"The Fog and Frost enveloping Scrooge\'s home reflect the chilling atmosphere of his life and his emotional coldness."', 'weight': 7.0, 'source_id': 'chunk-d9aac3484185ac66045df92214d245d5'}> +2024-10-30 05:54:09,771 - lightrag - INFO - _check_edge_existence:query:MATCH (a:`BOB CRATCHIT`)-[r]-(b:`THE COUNTING-HOUSE CLERK`) RETURN COUNT(r) > 0 AS edgeExists:result:True +2024-10-30 05:54:09,906 - lightrag - INFO - get_edge:query: + MATCH (source:`BOB CRATCHIT`)-[r]-(target:`THE COUNTING-HOUSE CLERK`) + RETURN r + :result:, ) type='DIRECTED' properties={'keywords': '"workforce dynamics, character contrast"', 'description': '"Bob Cratchit and The Counting-House Clerk represent the working class under Scrooge\'s employment, showcasing different character traits in the context of their work."', 'weight': 6.0, 'source_id': 'chunk-d9aac3484185ac66045df92214d245d5'}> +2024-10-30 05:54:10,050 - lightrag - INFO - _check_edge_existence:query:MATCH (a:`SCROOGE`)-[r]-(b:`THE GHOST OF MARLEY`) RETURN COUNT(r) > 0 AS edgeExists:result:True +2024-10-30 05:54:10,187 - lightrag - INFO - get_edge:query: + MATCH (source:`SCROOGE`)-[r]-(target:`THE GHOST OF MARLEY`) + RETURN r + :result:, ) type='DIRECTED' properties={'keywords': '"supernatural, moral reckoning"', 'description': '"The Ghost of Marley symbolizes Scrooge\'s past mistakes and serves as a catalyst for his transformation."', 'weight': 9.0, 'source_id': 'chunk-d9aac3484185ac66045df92214d245d5'}> +2024-10-30 05:54:10,329 - lightrag - INFO - _check_edge_existence:query:MATCH (a:`BOB CRATCHIT`)-[r]-(b:`CAMDEN TOWN`) RETURN COUNT(r) > 0 AS edgeExists:result:True +2024-10-30 05:54:10,466 - lightrag - INFO - get_edge:query: + MATCH (source:`BOB CRATCHIT`)-[r]-(target:`CAMDEN TOWN`) + RETURN r + :result:, ) type='DIRECTED' properties={'keywords': '"contrast, warmth"', 'description': '"Camden Town serves as a location representing warmth and family contrast to Scrooge\'s loneliness."', 'weight': 6.0, 'source_id': 'chunk-d9aac3484185ac66045df92214d245d5'}> +2024-10-30 05:54:10,601 - lightrag - INFO - _check_edge_existence:query:MATCH (a:`THE CANDLE`)-[r]-(b:`THE FOG AND FROST`) RETURN COUNT(r) > 0 AS edgeExists:result:True +2024-10-30 05:54:10,733 - lightrag - INFO - get_edge:query: + MATCH (source:`THE CANDLE`)-[r]-(target:`THE FOG AND FROST`) + RETURN r + :result:, ) type='DIRECTED' properties={'keywords': '"hope, contrast"', 'description': '"The Candle symbolizes a flicker of warmth and hope in the bleak setting of Fog and Frost, contrasting the overall atmosphere."', 'weight': 6.0, 'source_id': 'chunk-d9aac3484185ac66045df92214d245d5'}> +2024-10-30 05:54:10,872 - lightrag - INFO - _check_edge_existence:query:MATCH (a:`SCROOGE`)-[r]-(b:`THE HOUSE`) RETURN COUNT(r) > 0 AS edgeExists:result:True +2024-10-30 05:54:11,004 - lightrag - INFO - get_edge:query: + MATCH (source:`SCROOGE`)-[r]-(target:`THE HOUSE`) + RETURN r + :result:, ) type='DIRECTED' properties={'keywords': '"haunting, setting influence"', 'description': '"Scrooge\'s experiences with Marley\'s Ghost occur within The House, which plays a crucial role in the haunting atmosphere."', 'weight': 8.0, 'source_id': 'chunk-9c43dac2fcd5b578242d907ea6f8fc7b'}> +2024-10-30 05:54:11,138 - lightrag - INFO - _check_edge_existence:query:MATCH (a:`MARLEY`)-[r]-(b:`THE GHOST`) RETURN COUNT(r) > 0 AS edgeExists:result:True +2024-10-30 05:54:11,274 - lightrag - INFO - get_edge:query: + MATCH (source:`MARLEY`)-[r]-(target:`THE GHOST`) + RETURN r + :result:, ) type='DIRECTED' properties={'keywords': '"haunting, past choices"', 'description': '"Marley is the embodiment of The Ghost that appears to Scrooge, representing past choices and the consequences of his actions."', 'weight': 9.0, 'source_id': 'chunk-9c43dac2fcd5b578242d907ea6f8fc7b'}> +2024-10-30 05:54:11,414 - lightrag - INFO - _check_edge_existence:query:MATCH (a:`SCROOGE`)-[r]-(b:`THE BELL`) RETURN COUNT(r) > 0 AS edgeExists:result:True +2024-10-30 05:54:11,550 - lightrag - INFO - get_edge:query: + MATCH (source:`SCROOGE`)-[r]-(target:`THE BELL`) + RETURN r + :result:, ) type='DIRECTED' properties={'keywords': '"foreboding, supernatural"', 'description': '"The Bell\'s movement and sound foreshadow Marley\'s Ghost\'s appearance, enhancing the sense of impending supernatural activity in Scrooge\'s environment."', 'weight': 8.0, 'source_id': 'chunk-9c43dac2fcd5b578242d907ea6f8fc7b'}> +2024-10-30 05:54:11,685 - lightrag - INFO - _check_edge_existence:query:MATCH (a:`MARLEY`)-[r]-(b:`THE HEAVY CHAIN`) RETURN COUNT(r) > 0 AS edgeExists:result:True +2024-10-30 05:54:11,820 - lightrag - INFO - get_edge:query: + MATCH (source:`MARLEY`)-[r]-(target:`THE HEAVY CHAIN`) + RETURN r + :result:, ) type='DIRECTED' properties={'keywords': '"burden, consequence"', 'description': '"The Heavy Chain is linked to Marley as it suggests the burdens he carries from his earthly life, which he now haunts Scrooge with."', 'weight': 9.0, 'source_id': 'chunk-9c43dac2fcd5b578242d907ea6f8fc7b'}> +2024-10-30 05:54:11,958 - lightrag - INFO - _check_edge_existence:query:MATCH (a:`SCROOGE`)-[r]-(b:`THE WINE-MERCHANT'S CELLAR`) RETURN COUNT(r) > 0 AS edgeExists:result:True +2024-10-30 05:54:12,092 - lightrag - INFO - get_edge:query: + MATCH (source:`SCROOGE`)-[r]-(target:`THE WINE-MERCHANT'S CELLAR`) + RETURN r + :result:, ) type='DIRECTED' properties={'keywords': '"atmosphere, haunting"', 'description': '"Scrooge hears the dragging chains from The Wine-Merchant\'s Cellar, indicating that the haunting presence is felt throughout The House."', 'weight': 8.0, 'source_id': 'chunk-9c43dac2fcd5b578242d907ea6f8fc7b'}> +2024-10-30 05:54:12,227 - lightrag - INFO - _check_edge_existence:query:MATCH (a:`SCROOGE`)-[r]-(b:`THE GRATE`) RETURN COUNT(r) > 0 AS edgeExists:result:True +2024-10-30 05:54:12,363 - lightrag - INFO - get_edge:query: + MATCH (source:`SCROOGE`)-[r]-(target:`THE GRATE`) + RETURN r + :result:, ) type='DIRECTED' properties={'keywords': '"isolation, setting mood"', 'description': '"The Grate\'s cold fire adds to the bleak setting of Scrooge\'s home, illustrating his disconnection from warmth and comfort before the supernatural events unfold."', 'weight': 6.0, 'source_id': 'chunk-9c43dac2fcd5b578242d907ea6f8fc7b'}> +2024-10-30 05:54:12,502 - lightrag - INFO - _check_edge_existence:query:MATCH (a:`SCROOGE`)-[r]-(b:`THE DYING FLAME`) RETURN COUNT(r) > 0 AS edgeExists:result:True +2024-10-30 05:54:12,635 - lightrag - INFO - get_edge:query: + MATCH (source:`SCROOGE`)-[r]-(target:`THE DYING FLAME`) + RETURN r + :result:, ) type='DIRECTED' properties={'keywords': '"fear, conflict"', 'description': '"The Dying Flame\'s flickering is reflective of Scrooge\'s fear and mental state in the presence of the ghost, amplifying his internal conflict."', 'weight': 8.0, 'source_id': 'chunk-9c43dac2fcd5b578242d907ea6f8fc7b'}> +2024-10-30 05:54:12,770 - lightrag - INFO - _check_edge_existence:query:MATCH (a:`MARLEY'S GHOST`)-[r]-(b:`SCROOGE`) RETURN COUNT(r) > 0 AS edgeExists:result:True +2024-10-30 05:54:12,902 - lightrag - INFO - get_edge:query: + MATCH (source:`MARLEY'S GHOST`)-[r]-(target:`SCROOGE`) + RETURN r + :result:, ) type='DIRECTED' properties={'keywords': '"supernatural confrontation, regret""warning, fate"', 'description': '"Marley\'s Ghost warns Scrooge about the consequences of his actions and the visits of the three spirits, setting the stage for his transformation.""Scrooge is haunted by Marley\'s Ghost, which confronts him as a part of a supernatural occurrence meant to incite fear and reflection on his life choices."', 'weight': 18.0, 'source_id': 'chunk-9c43dac2fcd5b578242d907ea6f8fc7bchunk-cb661c37436355ccec2769b1d0350c5f'}> +2024-10-30 05:54:13,040 - lightrag - INFO - _check_edge_existence:query:MATCH (a:`JACOB MARLEY`)-[r]-(b:`MARLEY'S GHOST`) RETURN COUNT(r) > 0 AS edgeExists:result:True +2024-10-30 05:54:13,183 - lightrag - INFO - get_edge:query: + MATCH (source:`JACOB MARLEY`)-[r]-(target:`MARLEY'S GHOST`) + RETURN r + :result:, ) type='DIRECTED' properties={'keywords': '"past partnership, redemption"', 'description': '"Jacob Marley is the entity represented by Marley\'s Ghost, embodying the warning about the repercussions of a life focused solely on material gain."', 'weight': 9.0, 'source_id': 'chunk-1aa50206d02ed89418f65f97c6441d1c'}> +2024-10-30 05:54:13,327 - lightrag - INFO - _check_edge_existence:query:MATCH (a:`GHOST`)-[r]-(b:`SCROOGE`) RETURN COUNT(r) > 0 AS edgeExists:result:True +2024-10-30 05:54:13,465 - lightrag - INFO - get_edge:query: + MATCH (source:`GHOST`)-[r]-(target:`SCROOGE`) + RETURN r + :result:, ) type='DIRECTED' properties={'keywords': '"reflection, self-discovery""spiritual guidance, transformation"', 'description': '"The Ghost guides Scrooge through reflections of his past, influencing his journey toward redemption.""The Ghost takes Scrooge on a journey to teach him lessons about generosity and compassion towards others."', 'weight': 17.0, 'source_id': 'chunk-c6c248858d1b13ab7ee9ca13c1aeed6bchunk-e7637ff18c5ded77a68cce0a87883fad'}> +2024-10-30 05:54:13,607 - lightrag - INFO - _check_edge_existence:query:MATCH (a:`GHOST`)-[r]-(b:`JACOB MARLEY`) RETURN COUNT(r) > 0 AS edgeExists:result:True +2024-10-30 05:54:13,739 - lightrag - INFO - get_edge:query: + MATCH (source:`GHOST`)-[r]-(target:`JACOB MARLEY`) + RETURN r + :result:, ) type='DIRECTED' properties={'keywords': '"identity, remorse"', 'description': '"The Ghost is revealed to be Jacob Marley, who embodies the regret of a wasted life and the importance of personal responsibility."', 'weight': 10.0, 'source_id': 'chunk-359187e7571bda4b0b08b2e0b6581e52'}> +2024-10-30 05:54:13,878 - lightrag - INFO - _check_edge_existence:query:MATCH (a:`JACOB MARLEY`)-[r]-(b:`SCROOGE`) RETURN COUNT(r) > 0 AS edgeExists:result:True +2024-10-30 05:54:14,009 - lightrag - INFO - get_edge:query: + MATCH (source:`JACOB MARLEY`)-[r]-(target:`SCROOGE`) + RETURN r + :result:, ) type='DIRECTED' properties={'keywords': '"catalyst for change, supernatural guidance""past influence, warning""redemption, moral lesson""supernatural encounter, past ties""transformation, influence""warning, transformation"', 'description': '"Jacob Marley is the spirit who brings forth the need for Scrooge to change his ways, impacting his character development.""Scrooge confronts Jacob Marley, his former business partner, who returns as a ghost to influence Scrooge\'s perspective on life and his actions.""Scrooge converses with the ghost of Jacob Marley, who tries to guide him toward understanding the importance of compassion and the consequences of his actions.""Scrooge interacts with Jacob Marley, who serves as a critical warning for Scrooge to change his ways before it\'s too late.""Scrooge reflects on Jacob Marley’s past warnings, which serve as a catalyst for his transformation.""Scrooge\'s transformation is prompted by the appearance and message of Jacob Marley, his former business partner."', 'weight': 54.0, 'source_id': 'chunk-90b95db5c53e4364a6bee36b7aa4d70fchunk-1aa50206d02ed89418f65f97c6441d1cchunk-02baee20cc9463dbe08170a8e1043e32chunk-91572b3cd42786ba4cb2f180ca25cbf4chunk-da2472b4ef2a535b62908f14d0fb0ca9chunk-359187e7571bda4b0b08b2e0b6581e52'}> +2024-10-30 05:54:14,145 - lightrag - INFO - _check_edge_existence:query:MATCH (a:`GHOST`)-[r]-(b:`MANKIND`) RETURN COUNT(r) > 0 AS edgeExists:result:True +2024-10-30 05:54:14,280 - lightrag - INFO - get_edge:query: + MATCH (source:`GHOST`)-[r]-(target:`MANKIND`) + RETURN r + :result:, ) type='DIRECTED' properties={'keywords': '"moral duty, call to action"', 'description': '"The Ghost emphasizes that Mankind was his true business in life, urging Scrooge to focus on the welfare of others."', 'weight': 9.0, 'source_id': 'chunk-359187e7571bda4b0b08b2e0b6581e52'}> +2024-10-30 05:54:14,421 - lightrag - INFO - _check_edge_existence:query:MATCH (a:`CHRISTMAS EVES`)-[r]-(b:`SCROOGE`) RETURN COUNT(r) > 0 AS edgeExists:result:True +2024-10-30 05:54:14,557 - lightrag - INFO - get_edge:query: + MATCH (source:`CHRISTMAS EVES`)-[r]-(target:`SCROOGE`) + RETURN r + :result:, ) type='DIRECTED' properties={'keywords': '"time of reflection, redemption"', 'description': '"Christmas Eves symbolize a critical time for self-reflection and understanding one\'s past decisions, linking to Scrooge\'s journey of redemption."', 'weight': 7.0, 'source_id': 'chunk-359187e7571bda4b0b08b2e0b6581e52'}> +2024-10-30 05:54:14,698 - lightrag - INFO - _check_edge_existence:query:MATCH (a:`ETERNAL CHAIN`)-[r]-(b:`GHOST`) RETURN COUNT(r) > 0 AS edgeExists:result:True +2024-10-30 05:54:14,829 - lightrag - INFO - get_edge:query: + MATCH (source:`ETERNAL CHAIN`)-[r]-(target:`GHOST`) + RETURN r + :result:, ) type='DIRECTED' properties={'keywords': '"burden, regret"', 'description': '"The Ghost describes the Eternal Chain as a symbol of the burdens he carries due to his life choices, emphasizing the consequences of neglecting humanity."', 'weight': 9.0, 'source_id': 'chunk-359187e7571bda4b0b08b2e0b6581e52'}> +2024-10-30 05:54:14,975 - lightrag - INFO - _check_edge_existence:query:MATCH (a:`STAR`)-[r]-(b:`WISE MEN`) RETURN COUNT(r) > 0 AS edgeExists:result:True +2024-10-30 05:54:15,114 - lightrag - INFO - get_edge:query: + MATCH (source:`STAR`)-[r]-(target:`WISE MEN`) + RETURN r + :result:, ) type='DIRECTED' properties={'keywords': '"guidance, generosity"', 'description': '"The Star guided the Wise Men to recognize the importance of giving, which relates to the values that the Ghost tries to impart to Scrooge."', 'weight': 7.0, 'source_id': 'chunk-359187e7571bda4b0b08b2e0b6581e52'}> +2024-10-30 05:54:15,252 - lightrag - INFO - _check_edge_existence:query:MATCH (a:`FELLOW-BEINGS`)-[r]-(b:`SCROOGE`) RETURN COUNT(r) > 0 AS edgeExists:result:True +2024-10-30 05:54:15,383 - lightrag - INFO - get_edge:query: + MATCH (source:`FELLOW-BEINGS`)-[r]-(target:`SCROOGE`) + RETURN r + :result:, ) type='DIRECTED' properties={'keywords': '"neglect, realization"', 'description': '"Scrooge is confronted with his past choices to ignore Fellow-beings, leading to a realization of his moral failures."', 'weight': 8.0, 'source_id': 'chunk-359187e7571bda4b0b08b2e0b6581e52'}> +2024-10-30 05:54:15,525 - lightrag - INFO - _check_edge_existence:query:MATCH (a:`CHRISTMAS SPIRIT`)-[r]-(b:`GHOST`) RETURN COUNT(r) > 0 AS edgeExists:result:True +2024-10-30 05:54:15,668 - lightrag - INFO - get_edge:query: + MATCH (source:`CHRISTMAS SPIRIT`)-[r]-(target:`GHOST`) + RETURN r + :result:, ) type='DIRECTED' properties={'keywords': '"values, transformation"', 'description': '"The Ghost embodies the Christmas Spirit\'s values of compassion and kindness, urging Scrooge to reconsider his way of living."', 'weight': 9.0, 'source_id': 'chunk-359187e7571bda4b0b08b2e0b6581e52'}> +2024-10-30 05:54:15,804 - lightrag - INFO - _check_edge_existence:query:MATCH (a:`GHOST`)-[r]-(b:`SPECTRE`) RETURN COUNT(r) > 0 AS edgeExists:result:True +2024-10-30 05:54:15,932 - lightrag - INFO - get_edge:query: + MATCH (source:`GHOST`)-[r]-(target:`SPECTRE`) + RETURN r + :result:, ) type='DIRECTED' properties={'keywords': '"identity, motivation"', 'description': '"The Spectre is synonymous with the Ghost, representing the collective spirit urging Scrooge to change his ways."', 'weight': 10.0, 'source_id': 'chunk-359187e7571bda4b0b08b2e0b6581e52'}> +2024-10-30 05:54:16,067 - lightrag - INFO - _check_edge_existence:query:MATCH (a:`JACOB MARLEY`)-[r]-(b:`THE THREE SPIRITS`) RETURN COUNT(r) > 0 AS edgeExists:result:True +2024-10-30 05:54:16,203 - lightrag - INFO - get_edge:query: + MATCH (source:`JACOB MARLEY`)-[r]-(target:`THE THREE SPIRITS`) + RETURN r + :result:, ) type='DIRECTED' properties={'keywords': '"guidance, redemption"', 'description': '"Jacob Marley indicates that Scrooge will be visited by The Three Spirits to offer him guidance and the chance for redemption."', 'weight': 8.0, 'source_id': 'chunk-cb661c37436355ccec2769b1d0350c5f'}> +2024-10-30 05:54:16,350 - lightrag - INFO - _check_edge_existence:query:MATCH (a:`SCROOGE`)-[r]-(b:`THE GHOST`) RETURN COUNT(r) > 0 AS edgeExists:result:True +2024-10-30 05:54:16,485 - lightrag - INFO - get_edge:query: + MATCH (source:`SCROOGE`)-[r]-(target:`THE GHOST`) + RETURN r + :result:, ) type='DIRECTED' properties={'keywords': '"guidance, transformation""memory, influence""reflection, guidance""self-reflection, transformation"', 'description': '"Scrooge\'s engagement with The Ghost prompts a significant emotional and psychological transformation as he confronts his past.""The Ghost guides Scrooge through visions of his past, forcing him to confront his choices and their consequences.""The Ghost influences Scrooge\'s reflections on his past and his current emotions regarding Christmas festivities.""The Ghost serves as a catalyst for Scrooge\'s reflections, guiding him to confront his past and feelings about Christmas."', 'weight': 35.0, 'source_id': 'chunk-da2472b4ef2a535b62908f14d0fb0ca9chunk-43c9bee23adfa77aa9dedd22401bba7dchunk-54bdd22db1f84a965b5f4c06c9216d8dchunk-8590d9263cd2cd4fa583c432fc54e6c3'}> +2024-10-30 05:54:16,624 - lightrag - INFO - _check_edge_existence:query:MATCH (a:`SCROOGE`)-[r]-(b:`THE PHANTOM VOICES`) RETURN COUNT(r) > 0 AS edgeExists:result:True +2024-10-30 05:54:16,758 - lightrag - INFO - get_edge:query: + MATCH (source:`SCROOGE`)-[r]-(target:`THE PHANTOM VOICES`) + RETURN r + :result:, ) type='DIRECTED' properties={'keywords': '"regret, lost opportunities"', 'description': '"Scrooge hears the lamentations of The Phantom Voices, reflecting his connection to the spirits of the lost and the consequences of his life choices."', 'weight': 6.0, 'source_id': 'chunk-cb661c37436355ccec2769b1d0350c5f'}> +2024-10-30 05:54:16,899 - lightrag - INFO - _check_edge_existence:query:MATCH (a:`SCROOGE`)-[r]-(b:`THE WINDOW`) RETURN COUNT(r) > 0 AS edgeExists:result:True +2024-10-30 05:54:17,036 - lightrag - INFO - get_edge:query: + MATCH (source:`SCROOGE`)-[r]-(target:`THE WINDOW`) + RETURN r + :result:, ) type='DIRECTED' properties={'keywords': '"curiosity, fear"', 'description': '"Scrooge approaches The Window, which acts as a portal to the outside world and the supernatural, illustrating his curiosity and fear."', 'weight': 5.0, 'source_id': 'chunk-cb661c37436355ccec2769b1d0350c5f'}> +2024-10-30 05:54:17,176 - lightrag - INFO - _check_edge_existence:query:MATCH (a:`MARLEY'S GHOST`)-[r]-(b:`THE CHAIN`) RETURN COUNT(r) > 0 AS edgeExists:result:True +2024-10-30 05:54:17,312 - lightrag - INFO - get_edge:query: + MATCH (source:`MARLEY'S GHOST`)-[r]-(target:`THE CHAIN`) + RETURN r + :result:, ) type='DIRECTED' properties={'keywords': '"regret, warning"', 'description': '"Marley\'s Ghost is bound by The Chain, which symbolizes his regrets and serves as a warning to Scrooge about the consequences of his own actions."', 'weight': 9.0, 'source_id': 'chunk-cb661c37436355ccec2769b1d0350c5f'}> +2024-10-30 05:54:17,452 - lightrag - INFO - _check_edge_existence:query:MATCH (a:`SCROOGE`)-[r]-(b:`THE CLOCK`) RETURN COUNT(r) > 0 AS edgeExists:result:True +2024-10-30 05:54:17,587 - lightrag - INFO - get_edge:query: + MATCH (source:`SCROOGE`)-[r]-(target:`THE CLOCK`) + RETURN r + :result:, ) type='DIRECTED' properties={'keywords': '"time distortion, confusion"', 'description': '"Scrooge\'s interaction with the faulty clock symbolizes his disconnection from time and reality, as he struggles to comprehend his experiences."', 'weight': 6.0, 'source_id': 'chunk-cb661c37436355ccec2769b1d0350c5f'}> +2024-10-30 05:54:17,720 - lightrag - INFO - _check_edge_existence:query:MATCH (a:`SCROOGE`)-[r]-(b:`THE DARKNESS`) RETURN COUNT(r) > 0 AS edgeExists:result:True +2024-10-30 05:54:17,855 - lightrag - INFO - get_edge:query: + MATCH (source:`SCROOGE`)-[r]-(target:`THE DARKNESS`) + RETURN r + :result:, ) type='DIRECTED' properties={'keywords': '"internal struggle, unknown"', 'description': '"Scrooge finds himself enveloped by The Darkness, representing his internal struggle and the unknown future he faces."', 'weight': 6.0, 'source_id': 'chunk-cb661c37436355ccec2769b1d0350c5f'}> +2024-10-30 05:54:17,992 - lightrag - INFO - _check_edge_existence:query:MATCH (a:`CLOCK`)-[r]-(b:`SCROOGE`) RETURN COUNT(r) > 0 AS edgeExists:result:True +2024-10-30 05:54:18,125 - lightrag - INFO - get_edge:query: + MATCH (source:`CLOCK`)-[r]-(target:`SCROOGE`) + RETURN r + :result:, ) type='DIRECTED' properties={'keywords': '"time symbolism, anxiety"', 'description': '"Scrooge\'s observations of the Clock reflect his anxiety over time and the supernatural events unfolding around him."', 'weight': 7.0, 'source_id': 'chunk-c7b10789a9cb0af6c553730b29bd9034'}> +2024-10-30 05:54:18,263 - lightrag - INFO - _check_edge_existence:query:MATCH (a:`SCROOGE`)-[r]-(b:`SPIRIT`) RETURN COUNT(r) > 0 AS edgeExists:result:True +2024-10-30 05:54:18,395 - lightrag - INFO - get_edge:query: + MATCH (source:`SCROOGE`)-[r]-(target:`SPIRIT`) + RETURN r + :result:, ) type='DIRECTED' properties={'keywords': '"guidance, emotional journey""guidance, transformation""personal growth, spiritual journey""reflection, guidance"', 'description': '"Scrooge engages with the Spirit, who guides him through reflections on his life and warns him of societal issues.""Scrooge learns from the Spirit about the consequences of his actions and the sentiments evoked by death, leading to personal growth.""Scrooge’s interaction with the Spirit emphasizes the emotional weight of his past decisions and feelings as they relate to his transformation.""The Spirit directly influences Scrooge’s transformation and highlights the importance of compassion in human life."', 'weight': 34.0, 'source_id': 'chunk-02baee20cc9463dbe08170a8e1043e32chunk-bb21d58d36c6306fd8810ddd51c4a971chunk-83ac129dc9b56f84c46760d153d68e93chunk-e7637ff18c5ded77a68cce0a87883fad'}> +2024-10-30 05:54:18,531 - lightrag - INFO - _check_edge_existence:query:MATCH (a:`GHOST OF CHRISTMAS PAST`)-[r]-(b:`WINTER DAY`) RETURN COUNT(r) > 0 AS edgeExists:result:True +2024-10-30 05:54:18,665 - lightrag - INFO - get_edge:query: + MATCH (source:`GHOST OF CHRISTMAS PAST`)-[r]-(target:`WINTER DAY`) + RETURN r + :result:, ) type='DIRECTED' properties={'keywords': '"nostalgia, memory"', 'description': '"The Ghost leads Scrooge to experience a winter day from his memories, emphasizing feelings of nostalgia and longing."', 'weight': 9.0, 'source_id': 'chunk-bb21d58d36c6306fd8810ddd51c4a971'}> +2024-10-30 05:54:18,799 - lightrag - INFO - _check_edge_existence:query:MATCH (a:`MARKET-TOWN`)-[r]-(b:`SCROOGE`) RETURN COUNT(r) > 0 AS edgeExists:result:True +2024-10-30 05:54:18,933 - lightrag - INFO - get_edge:query: + MATCH (source:`MARKET-TOWN`)-[r]-(target:`SCROOGE`) + RETURN r + :result:, ) type='DIRECTED' properties={'keywords': '"nostalgia, memory"', 'description': '"Scrooge recognizes the Market-Town, eliciting fond memories from his childhood and emphasizing his emotional response to the past."', 'weight': 7.0, 'source_id': 'chunk-bb21d58d36c6306fd8810ddd51c4a971'}> +2024-10-30 05:54:19,070 - lightrag - INFO - _check_edge_existence:query:MATCH (a:`BOYS`)-[r]-(b:`SCROOGE`) RETURN COUNT(r) > 0 AS edgeExists:result:True +2024-10-30 05:54:19,205 - lightrag - INFO - get_edge:query: + MATCH (source:`BOYS`)-[r]-(target:`SCROOGE`) + RETURN r + :result:, ) type='DIRECTED' properties={'keywords': '"joy, childhood memories"', 'description': '"Scrooge feels joy upon seeing the boys, evoking memories of childhood experiences and emotions associated with them."', 'weight': 7.0, 'source_id': 'chunk-bb21d58d36c6306fd8810ddd51c4a971'}> +2024-10-30 05:54:19,343 - lightrag - INFO - _check_edge_existence:query:MATCH (a:`BOYS`)-[r]-(b:`SHAGGY PONIES`) RETURN COUNT(r) > 0 AS edgeExists:result:True +2024-10-30 05:54:19,480 - lightrag - INFO - get_edge:query: + MATCH (source:`BOYS`)-[r]-(target:`SHAGGY PONIES`) + RETURN r + :result:, ) type='DIRECTED' properties={'keywords': '"playfulness, childhood"', 'description': '"The boys interact with the shaggy ponies, highlighting the carefree and playful nature of youth in Scrooge\'s memories."', 'weight': 6.0, 'source_id': 'chunk-bb21d58d36c6306fd8810ddd51c4a971'}> +2024-10-30 05:54:19,621 - lightrag - INFO - _check_edge_existence:query:MATCH (a:`BRIDGE`)-[r]-(b:`SCROOGE`) RETURN COUNT(r) > 0 AS edgeExists:result:True +2024-10-30 05:54:19,757 - lightrag - INFO - get_edge:query: + MATCH (source:`BRIDGE`)-[r]-(target:`SCROOGE`) + RETURN r + :result:, ) type='DIRECTED' properties={'keywords': '"memory, landmark"', 'description': '"The bridge serves as a significant landmark in Scrooge\'s past, reminding him of his childhood and former happiness."', 'weight': 7.0, 'source_id': 'chunk-bb21d58d36c6306fd8810ddd51c4a971'}> +2024-10-30 05:54:19,894 - lightrag - INFO - _check_edge_existence:query:MATCH (a:`CHURCH`)-[r]-(b:`SCROOGE`) RETURN COUNT(r) > 0 AS edgeExists:result:True +2024-10-30 05:54:20,029 - lightrag - INFO - get_edge:query: + MATCH (source:`CHURCH`)-[r]-(target:`SCROOGE`) + RETURN r + :result:, ) type='DIRECTED' properties={'keywords': '"community, contrast"', 'description': '"The church symbolizes the community and settings of Scrooge\'s past, highlighting the contrast between then and now."', 'weight': 8.0, 'source_id': 'chunk-bb21d58d36c6306fd8810ddd51c4a971'}> +2024-10-30 05:54:20,171 - lightrag - INFO - _check_edge_existence:query:MATCH (a:`SCROOGE`)-[r]-(b:`WINDING RIVER`) RETURN COUNT(r) > 0 AS edgeExists:result:True +2024-10-30 05:54:20,306 - lightrag - INFO - get_edge:query: + MATCH (source:`SCROOGE`)-[r]-(target:`WINDING RIVER`) + RETURN r + :result:, ) type='DIRECTED' properties={'keywords': '"nostalgia, memory"', 'description': '"The winding river evokes memories and emotions for Scrooge, connecting him to his past experiences and places."', 'weight': 8.0, 'source_id': 'chunk-bb21d58d36c6306fd8810ddd51c4a971'}> +2024-10-30 05:54:20,443 - lightrag - INFO - _check_edge_existence:query:MATCH (a:`GHOST OF CHRISTMAS PAST`)-[r]-(b:`SCROOGE'S MEMORIES`) RETURN COUNT(r) > 0 AS edgeExists:result:True +2024-10-30 05:54:20,579 - lightrag - INFO - get_edge:query: + MATCH (source:`GHOST OF CHRISTMAS PAST`)-[r]-(target:`SCROOGE'S MEMORIES`) + RETURN r + :result:, ) type='DIRECTED' properties={'keywords': '"memory, confrontation"', 'description': '"The Ghost facilitates Scrooge\'s recollection of his memories, allowing him to confront his past choices."', 'weight': 9.0, 'source_id': 'chunk-bb21d58d36c6306fd8810ddd51c4a971'}> +2024-10-30 05:54:20,716 - lightrag - INFO - _check_edge_existence:query:MATCH (a:`SCROOGE`)-[r]-(b:`THE SPIRIT`) RETURN COUNT(r) > 0 AS edgeExists:result:True +2024-10-30 05:54:20,849 - lightrag - INFO - get_edge:query: + MATCH (source:`SCROOGE`)-[r]-(target:`THE SPIRIT`) + RETURN r + :result:, ) type='DIRECTED' properties={'keywords': '"guidance, transformation""moral guidance, transformation""self-reflection, transformation""supernatural guidance, self-reflection""supernatural intervention, guidance"', 'description': '"Scrooge engages with the Spirit as it reveals memories that prompt significant self-reflection and consideration of change.""Scrooge is guided by the Spirit, who shows him different scenes related to the joy and struggles of Christmas, aiming to change his heart.""The Spirit challenges Scrooge\'s perspective on life, urging him to consider the implications of his actions in light of death.""The Spirit represents an upcoming change in Scrooge\'s life, aiming to guide him towards redemption.""The Spirit represents moral lessons and urges Scrooge to change his ways for a better future."', 'weight': 47.0, 'source_id': 'chunk-b2f98bc7abb0c67d4c86055c7fd72218chunk-e1f29eeadc1d8ab46dc8a0bbd3c56b64chunk-91572b3cd42786ba4cb2f180ca25cbf4chunk-da2472b4ef2a535b62908f14d0fb0ca9chunk-91614df5cb74cbe5e109a338a82041e9'}> +2024-10-30 05:54:20,986 - lightrag - INFO - _check_edge_existence:query:MATCH (a:`ALI BABA`)-[r]-(b:`SCROOGE`) RETURN COUNT(r) > 0 AS edgeExists:result:True +2024-10-30 05:54:21,121 - lightrag - INFO - get_edge:query: + MATCH (source:`ALI BABA`)-[r]-(target:`SCROOGE`) + RETURN r + :result:, ) type='DIRECTED' properties={'keywords': '"nostalgia, childhood stories"', 'description': '"Scrooge recalls Ali Baba while reflecting on memories of Christmas, indicating a strong personal connection to the story and its impact on him."', 'weight': 8.0, 'source_id': 'chunk-8590d9263cd2cd4fa583c432fc54e6c3'}> +2024-10-30 05:54:21,256 - lightrag - INFO - _check_edge_existence:query:MATCH (a:`SCROOGE`)-[r]-(b:`VALENTINE`) RETURN COUNT(r) > 0 AS edgeExists:result:True +2024-10-30 05:54:21,392 - lightrag - INFO - get_edge:query: + MATCH (source:`SCROOGE`)-[r]-(target:`VALENTINE`) + RETURN r + :result:, ) type='DIRECTED' properties={'keywords': '"family memories, nostalgia"', 'description': '"Scrooge\'s mention of Valentine signifies his memories of familial ties and childhood experiences during Christmas."', 'weight': 6.0, 'source_id': 'chunk-8590d9263cd2cd4fa583c432fc54e6c3'}> +2024-10-30 05:54:21,537 - lightrag - INFO - _check_edge_existence:query:MATCH (a:`ORSON`)-[r]-(b:`VALENTINE`) RETURN COUNT(r) > 0 AS edgeExists:result:True +2024-10-30 05:54:21,668 - lightrag - INFO - get_edge:query: + MATCH (source:`ORSON`)-[r]-(target:`VALENTINE`) + RETURN r + :result:, ) type='DIRECTED' properties={'keywords': '"family, nostalgia"', 'description': '"Orson and Valentine are brothers in the stories remembered by Scrooge, representing familial bonds in his past."', 'weight': 8.0, 'source_id': 'chunk-8590d9263cd2cd4fa583c432fc54e6c3'}> +2024-10-30 05:54:21,808 - lightrag - INFO - _check_edge_existence:query:MATCH (a:`CHILD`)-[r]-(b:`SCROOGE`) RETURN COUNT(r) > 0 AS edgeExists:result:True +2024-10-30 05:54:21,936 - lightrag - INFO - get_edge:query: + MATCH (source:`CHILD`)-[r]-(target:`SCROOGE`) + RETURN r + :result:, ) type='DIRECTED' properties={'keywords': '"self-reflection, past connection"', 'description': '"Scrooge sees his younger self in the solitary child, sparking deep emotional reflections about his past and choices."', 'weight': 8.0, 'source_id': 'chunk-8590d9263cd2cd4fa583c432fc54e6c3'}> +2024-10-30 05:54:22,071 - lightrag - INFO - _check_edge_existence:query:MATCH (a:`ALI BABA`)-[r]-(b:`ROBIN CRUSOE`) RETURN COUNT(r) > 0 AS edgeExists:result:True +2024-10-30 05:54:22,199 - lightrag - INFO - get_edge:query: + MATCH (source:`ALI BABA`)-[r]-(target:`ROBIN CRUSOE`) + RETURN r + :result:, ) type='DIRECTED' properties={'keywords': '"literary connection, childhood memories"', 'description': '"Both Ali Baba and Robin Crusoe represent figures from stories that shaped Scrooge\'s childhood memories and sentiments towards Christmas."', 'weight': 7.0, 'source_id': 'chunk-8590d9263cd2cd4fa583c432fc54e6c3'}> +2024-10-30 05:54:22,338 - lightrag - INFO - _check_edge_existence:query:MATCH (a:`MANSION`)-[r]-(b:`SCROOGE`) RETURN COUNT(r) > 0 AS edgeExists:result:True +2024-10-30 05:54:22,476 - lightrag - INFO - get_edge:query: + MATCH (source:`MANSION`)-[r]-(target:`SCROOGE`) + RETURN r + :result:, ) type='DIRECTED' properties={'keywords': '"symbolism, emotional state"', 'description': '"The Mansion symbolizes the neglect and decay that parallels Scrooge\'s own emotional state and memories of his past."', 'weight': 8.0, 'source_id': 'chunk-8590d9263cd2cd4fa583c432fc54e6c3'}> +2024-10-30 05:54:22,615 - lightrag - INFO - _check_edge_existence:query:MATCH (a:`MANSION`)-[r]-(b:`THE GHOST`) RETURN COUNT(r) > 0 AS edgeExists:result:True +2024-10-30 05:54:22,750 - lightrag - INFO - get_edge:query: + MATCH (source:`MANSION`)-[r]-(target:`THE GHOST`) + RETURN r + :result:, ) type='DIRECTED' properties={'keywords': '"guidance, contrast"', 'description': '"The Ghost guides Scrooge through the Mansion, illustrating the contrast between past warmth and present decay."', 'weight': 9.0, 'source_id': 'chunk-8590d9263cd2cd4fa583c432fc54e6c3'}> +2024-10-30 05:54:22,887 - lightrag - INFO - _check_edge_existence:query:MATCH (a:`FRIDAY`)-[r]-(b:`ROBIN CRUSOE`) RETURN COUNT(r) > 0 AS edgeExists:result:True +2024-10-30 05:54:23,019 - lightrag - INFO - get_edge:query: + MATCH (source:`FRIDAY`)-[r]-(target:`ROBIN CRUSOE`) + RETURN r + :result:, ) type='DIRECTED' properties={'keywords': '"friendship, adventure"', 'description': '"Friday serves alongside Robin Crusoe in the stories remembered by Scrooge, representing loyalty and friendship in adventure."', 'weight': 7.0, 'source_id': 'chunk-8590d9263cd2cd4fa583c432fc54e6c3'}> +2024-10-30 05:54:23,157 - lightrag - INFO - _check_edge_existence:query:MATCH (a:`SCROOGE`)-[r]-(b:`THE PARROT`) RETURN COUNT(r) > 0 AS edgeExists:result:True +2024-10-30 05:54:23,293 - lightrag - INFO - get_edge:query: + MATCH (source:`SCROOGE`)-[r]-(target:`THE PARROT`) + RETURN r + :result:, ) type='DIRECTED' properties={'keywords': '"nostalgia, whimsy"', 'description': '"Scrooge recalls the Parrot associated with his memories of Robin Crusoe, highlighting the whimsical and nostalgic aspects of his reflections."', 'weight': 6.0, 'source_id': 'chunk-8590d9263cd2cd4fa583c432fc54e6c3'}> +2024-10-30 05:54:23,436 - lightrag - INFO - _check_edge_existence:query:MATCH (a:`CHILD`)-[r]-(b:`THE SPIRIT`) RETURN COUNT(r) > 0 AS edgeExists:result:True +2024-10-30 05:54:23,570 - lightrag - INFO - get_edge:query: + MATCH (source:`CHILD`)-[r]-(target:`THE SPIRIT`) + RETURN r + :result:, ) type='DIRECTED' properties={'keywords': '"remembrance, neglect"', 'description': '"The Spirit points Scrooge to the Child, emphasizing themes of neglect, remembrance, and the importance of past experiences."', 'weight': 8.0, 'source_id': 'chunk-8590d9263cd2cd4fa583c432fc54e6c3'}> +2024-10-30 05:54:23,709 - lightrag - INFO - _check_edge_existence:query:MATCH (a:`DICK WILKINS`)-[r]-(b:`FEZZIWIG`) RETURN COUNT(r) > 0 AS edgeExists:result:True +2024-10-30 05:54:23,843 - lightrag - INFO - get_edge:query: + MATCH (source:`DICK WILKINS`)-[r]-(target:`FEZZIWIG`) + RETURN r + :result:, ) type='DIRECTED' properties={'keywords': '"apprenticeship, camaraderie"', 'description': '"Fezziwig and Dick Wilkins are connected through their roles in Scrooge\'s past, representing camaraderie and joyful experiences at work."', 'weight': 7.0, 'source_id': 'chunk-c6c248858d1b13ab7ee9ca13c1aeed6b'}> +2024-10-30 05:54:23,981 - lightrag - INFO - _check_edge_existence:query:MATCH (a:`DICK WILKINS`)-[r]-(b:`SCROOGE`) RETURN COUNT(r) > 0 AS edgeExists:result:True +2024-10-30 05:54:24,115 - lightrag - INFO - get_edge:query: + MATCH (source:`DICK WILKINS`)-[r]-(target:`SCROOGE`) + RETURN r + :result:, ) type='DIRECTED' properties={'keywords': '"friendship, apprenticeship"', 'description': '"Scrooge recalls his friendship with Dick Wilkins, highlighting the connections of youth and support during their apprenticeship."', 'weight': 7.0, 'source_id': 'chunk-c6c248858d1b13ab7ee9ca13c1aeed6b'}> +2024-10-30 05:54:24,249 - lightrag - INFO - _check_edge_existence:query:MATCH (a:`CHRISTMAS-TIME`)-[r]-(b:`SCROOGE`) RETURN COUNT(r) > 0 AS edgeExists:result:True +2024-10-30 05:54:24,382 - lightrag - INFO - get_edge:query: + MATCH (source:`CHRISTMAS-TIME`)-[r]-(target:`SCROOGE`) + RETURN r + :result:, ) type='DIRECTED' properties={'keywords': '"cynicism, holiday spirit conflict"', 'description': '"Scrooge views Christmas-time as a burden rather than a celebration, contrasting with the feelings of others around him."', 'weight': 9.0, 'source_id': 'chunk-5dac41b3f9eeaf794f0147400b1718cd'}> +2024-10-30 05:54:24,525 - lightrag - INFO - _check_edge_existence:query:MATCH (a:`SCROOGE`)-[r]-(b:`THE CITY`) RETURN COUNT(r) > 0 AS edgeExists:result:True +2024-10-30 05:54:24,656 - lightrag - INFO - get_edge:query: + MATCH (source:`SCROOGE`)-[r]-(target:`THE CITY`) + RETURN r + :result:, ) type='DIRECTED' properties={'keywords': '"disconnection, personal evolution""reflection, urban life"', 'description': '"Scrooge\'s reflections in the City highlight his relationship with his past and the contrast of his current life.""Scrooge\'s relationship with The City is marked by detachment, representing his lost connection to his past self and experiences."', 'weight': 10.0, 'source_id': 'chunk-bb21d58d36c6306fd8810ddd51c4a971chunk-c6c248858d1b13ab7ee9ca13c1aeed6b'}> +2024-10-30 05:54:24,791 - lightrag - INFO - _check_edge_existence:query:MATCH (a:`DICK WILKINS`)-[r]-(b:`EBENEZER SCROOGE`) RETURN COUNT(r) > 0 AS edgeExists:result:True +2024-10-30 05:54:24,927 - lightrag - INFO - get_edge:query: + MATCH (source:`DICK WILKINS`)-[r]-(target:`EBENEZER SCROOGE`) + RETURN r + :result:, ) type='DIRECTED' properties={'keywords': '"nostalgia, past friendship"', 'description': '"Scrooge remembers Dick Wilkins fondly, showing a connection from their past as apprentices together."', 'weight': 8.0, 'source_id': 'chunk-8bc1edd983869352d14cf0886a9175a7'}> +2024-10-30 05:54:25,064 - lightrag - INFO - _check_edge_existence:query:MATCH (a:`EBENEZER SCROOGE`)-[r]-(b:`FEZZIWIG`) RETURN COUNT(r) > 0 AS edgeExists:result:True +2024-10-30 05:54:25,199 - lightrag - INFO - get_edge:query: + MATCH (source:`EBENEZER SCROOGE`)-[r]-(target:`FEZZIWIG`) + RETURN r + :result:, ) type='DIRECTED' properties={'keywords': '"mentorship, celebration""reflection, mentorship"', 'description': '"Fezziwig created a memorable and joyful atmosphere for Scrooge and his fellow apprentices during the celebration.""Scrooge reflects on his positive memories of Fezziwig, contributing to the theme of mentorship and joy in the past."', 'weight': 17.0, 'source_id': 'chunk-8bc1edd983869352d14cf0886a9175a7'}> +2024-10-30 05:54:25,337 - lightrag - INFO - _check_edge_existence:query:MATCH (a:`CHRISTMAS EVE`)-[r]-(b:`FEZZIWIG`) RETURN COUNT(r) > 0 AS edgeExists:result:True +2024-10-30 05:54:25,472 - lightrag - INFO - get_edge:query: + MATCH (source:`CHRISTMAS EVE`)-[r]-(target:`FEZZIWIG`) + RETURN r + :result:, ) type='DIRECTED' properties={'keywords': '"event significance, festivity"', 'description': '"Fezziwig\'s celebrations take place on Christmas Eve, highlighting the special significance of this event."', 'weight': 10.0, 'source_id': 'chunk-8bc1edd983869352d14cf0886a9175a7'}> +2024-10-30 05:54:25,612 - lightrag - INFO - _check_edge_existence:query:MATCH (a:`FEZZIWIG`)-[r]-(b:`MRS. FEZZIWIG`) RETURN COUNT(r) > 0 AS edgeExists:result:True +2024-10-30 05:54:25,747 - lightrag - INFO - get_edge:query: + MATCH (source:`FEZZIWIG`)-[r]-(target:`MRS. FEZZIWIG`) + RETURN r + :result:, ) type='DIRECTED' properties={'keywords': '"festivity, companionship""partnership, celebration"', 'description': '"Fezziwig and Mrs. Fezziwig dance together, showcasing their joyful relationship and the spirit of togetherness during Christmas.""Fezziwig and Mrs. Fezziwig work together to create a festive and welcoming environment during the domestic ball.""Mrs. Fezziwig partners with Fezziwig in the festivities, highlighting their companionship during the celebrations."', 'weight': 25.0, 'source_id': 'chunk-b2f98bc7abb0c67d4c86055c7fd72218chunk-89777b838d5447c7bd1ec11282c4ee89chunk-8bc1edd983869352d14cf0886a9175a7'}> +2024-10-30 05:54:25,881 - lightrag - INFO - _check_edge_existence:query:MATCH (a:`FEZZIWIG`)-[r]-(b:`THE DANCERS`) RETURN COUNT(r) > 0 AS edgeExists:result:True +2024-10-30 05:54:26,015 - lightrag - INFO - get_edge:query: + MATCH (source:`FEZZIWIG`)-[r]-(target:`THE DANCERS`) + RETURN r + :result:, ) type='DIRECTED' properties={'keywords': '"celebration, community"', 'description': '"The Dancers participate in the lively celebrations orchestrated by Fezziwig, showcasing the joyous atmosphere of the event."', 'weight': 9.0, 'source_id': 'chunk-8bc1edd983869352d14cf0886a9175a7'}> +2024-10-30 05:54:26,150 - lightrag - INFO - _check_edge_existence:query:MATCH (a:`FEZZIWIG`)-[r]-(b:`THE FIDDLER`) RETURN COUNT(r) > 0 AS edgeExists:result:True +2024-10-30 05:54:26,284 - lightrag - INFO - get_edge:query: + MATCH (source:`FEZZIWIG`)-[r]-(target:`THE FIDDLER`) + RETURN r + :result:, ) type='DIRECTED' properties={'keywords': '"musical contribution, festive atmosphere"', 'description': '"The Fiddler provides music for the dance, playing a crucial role in enhancing the festive atmosphere created by Fezziwig."', 'weight': 9.0, 'source_id': 'chunk-8bc1edd983869352d14cf0886a9175a7'}> +2024-10-30 05:54:26,422 - lightrag - INFO - _check_edge_existence:query:MATCH (a:`THE THREE MISS FEZZIWIGS`)-[r]-(b:`THE YOUNG FOLLOWERS`) RETURN COUNT(r) > 0 AS edgeExists:result:True +2024-10-30 05:54:26,557 - lightrag - INFO - get_edge:query: + MATCH (source:`THE THREE MISS FEZZIWIGS`)-[r]-(target:`THE YOUNG FOLLOWERS`) + RETURN r + :result:, ) type='DIRECTED' properties={'keywords': '"community, interactions"', 'description': '"The Three Miss Fezziwigs interact with the Young Followers during the dance, highlighting the communal joy of the celebration."', 'weight': 8.0, 'source_id': 'chunk-8bc1edd983869352d14cf0886a9175a7'}> +2024-10-30 05:54:26,698 - lightrag - INFO - _check_edge_existence:query:MATCH (a:`THE COOK`)-[r]-(b:`THE HOUSEMAID`) RETURN COUNT(r) > 0 AS edgeExists:result:True +2024-10-30 05:54:26,835 - lightrag - INFO - get_edge:query: + MATCH (source:`THE COOK`)-[r]-(target:`THE HOUSEMAID`) + RETURN r + :result:, ) type='DIRECTED' properties={'keywords': '"inclusion, participation"', 'description': '"The Housemaid and The Cook are both present at Fezziwig\'s celebration, participating in the festivities and showcasing the inclusive environment."', 'weight': 7.0, 'source_id': 'chunk-8bc1edd983869352d14cf0886a9175a7'}> +2024-10-30 05:54:26,972 - lightrag - INFO - _check_edge_existence:query:MATCH (a:`THE BOY FROM OVER THE WAY`)-[r]-(b:`THE GIRL FROM NEXT DOOR`) RETURN COUNT(r) > 0 AS edgeExists:result:True +2024-10-30 05:54:27,105 - lightrag - INFO - get_edge:query: + MATCH (source:`THE BOY FROM OVER THE WAY`)-[r]-(target:`THE GIRL FROM NEXT DOOR`) + RETURN r + :result:, ) type='DIRECTED' properties={'keywords': '"youthful antics, dynamics"', 'description': '"The Boy\'s attempts to hide from The Girl demonstrate the youthful interactions and dynamics during the festive event."', 'weight': 6.0, 'source_id': 'chunk-8bc1edd983869352d14cf0886a9175a7'}> +2024-10-30 05:54:27,240 - lightrag - INFO - _check_edge_existence:query:MATCH (a:`SCROOGE`)-[r]-(b:`THE GHOST OF CHRISTMAS PAST`) RETURN COUNT(r) > 0 AS edgeExists:result:True +2024-10-30 05:54:27,380 - lightrag - INFO - get_edge:query: + MATCH (source:`SCROOGE`)-[r]-(target:`THE GHOST OF CHRISTMAS PAST`) + RETURN r + :result:, ) type='DIRECTED' properties={'keywords': '"introspection, memory"', 'description': '"The Ghost of Christmas Past guides Scrooge through recollections, prompting his introspection about his former self and choices."', 'weight': 10.0, 'source_id': 'chunk-b2f98bc7abb0c67d4c86055c7fd72218'}> +2024-10-30 05:54:27,517 - lightrag - INFO - _check_edge_existence:query:MATCH (a:`FEZZIWIG`)-[r]-(b:`THE DOMESTIC BALL`) RETURN COUNT(r) > 0 AS edgeExists:result:True +2024-10-30 05:54:27,651 - lightrag - INFO - get_edge:query: + MATCH (source:`FEZZIWIG`)-[r]-(target:`THE DOMESTIC BALL`) + RETURN r + :result:, ) type='DIRECTED' properties={'keywords': '"event organization, joy"', 'description': '"Fezziwig organizes the Domestic Ball, showcasing his ability to create joy and camaraderie among guests."', 'weight': 10.0, 'source_id': 'chunk-b2f98bc7abb0c67d4c86055c7fd72218'}> +2024-10-30 05:54:27,796 - lightrag - INFO - _check_edge_existence:query:MATCH (a:`DICK`)-[r]-(b:`SCROOGE`) RETURN COUNT(r) > 0 AS edgeExists:result:True +2024-10-30 05:54:27,931 - lightrag - INFO - get_edge:query: + MATCH (source:`DICK`)-[r]-(target:`SCROOGE`) + RETURN r + :result:, ) type='DIRECTED' properties={'keywords': '"nostalgia, friendship"', 'description': '"Scrooge remembers Dick as a part of his past, highlighting their shared experiences during happier times."', 'weight': 7.0, 'source_id': 'chunk-b2f98bc7abb0c67d4c86055c7fd72218'}> +2024-10-30 05:54:28,068 - lightrag - INFO - _check_edge_existence:query:MATCH (a:`FEZZIWIG`)-[r]-(b:`THE TWO APPRENTICES`) RETURN COUNT(r) > 0 AS edgeExists:result:True +2024-10-30 05:54:28,200 - lightrag - INFO - get_edge:query: + MATCH (source:`FEZZIWIG`)-[r]-(target:`THE TWO APPRENTICES`) + RETURN r + :result:, ) type='DIRECTED' properties={'keywords': '"gratitude, mentorship"', 'description': '"Fezziwig inspires deep gratitude and respect from his apprentices, who appreciate his kindness during their interactions at the ball."', 'weight': 8.0, 'source_id': 'chunk-b2f98bc7abb0c67d4c86055c7fd72218'}> +2024-10-30 05:54:28,337 - lightrag - INFO - _check_edge_existence:query:MATCH (a:`SCROOGE`)-[r]-(b:`THE GOLDEN IDOL`) RETURN COUNT(r) > 0 AS edgeExists:result:True +2024-10-30 05:54:28,465 - lightrag - INFO - get_edge:query: + MATCH (source:`SCROOGE`)-[r]-(target:`THE GOLDEN IDOL`) + RETURN r + :result:, ) type='DIRECTED' properties={'keywords': '"materialism, lost connections"', 'description': '"The Golden Idol represents the materialistic pursuits that have displaced meaningful connections in Scrooge\'s life."', 'weight': 10.0, 'source_id': 'chunk-b2f98bc7abb0c67d4c86055c7fd72218'}> +2024-10-30 05:54:28,600 - lightrag - INFO - _check_edge_existence:query:MATCH (a:`SCROOGE`)-[r]-(b:`THE MOURNING DRESS`) RETURN COUNT(r) > 0 AS edgeExists:result:True +2024-10-30 05:54:28,732 - lightrag - INFO - get_edge:query: + MATCH (source:`SCROOGE`)-[r]-(target:`THE MOURNING DRESS`) + RETURN r + :result:, ) type='DIRECTED' properties={'keywords': '"loss, emotional distance"', 'description': '"The Mourning Dress symbolizes Scrooge\'s unfulfilled relationships and the emotional consequences of his choices."', 'weight': 8.0, 'source_id': 'chunk-b2f98bc7abb0c67d4c86055c7fd72218'}> +2024-10-30 05:54:28,867 - lightrag - INFO - _check_edge_existence:query:MATCH (a:`SCROOGE`)-[r]-(b:`THE PRIME OF LIFE`) RETURN COUNT(r) > 0 AS edgeExists:result:True +2024-10-30 05:54:29,004 - lightrag - INFO - get_edge:query: + MATCH (source:`SCROOGE`)-[r]-(target:`THE PRIME OF LIFE`) + RETURN r + :result:, ) type='DIRECTED' properties={'keywords': '"reflection, life choices"', 'description': '"Scrooge reflects on his Prime of Life, contrasting it with his current state and the sacrifices he has made for wealth."', 'weight': 9.0, 'source_id': 'chunk-b2f98bc7abb0c67d4c86055c7fd72218'}> +2024-10-30 05:54:29,140 - lightrag - INFO - _check_edge_existence:query:MATCH (a:`SCROOGE`)-[r]-(b:`THE BEAUTIFUL YOUNG GIRL`) RETURN COUNT(r) > 0 AS edgeExists:result:True +2024-10-30 05:54:29,272 - lightrag - INFO - get_edge:query: + MATCH (source:`SCROOGE`)-[r]-(target:`THE BEAUTIFUL YOUNG GIRL`) + RETURN r + :result:, ) type='DIRECTED' properties={'keywords': '"nostalgia, lost love"', 'description': '"Scrooge reflects on his past relationship with the young girl, which holds significance in understanding his character\'s regrets."', 'weight': 8.0, 'source_id': 'chunk-54bdd22db1f84a965b5f4c06c9216d8d'}> +2024-10-30 05:54:29,406 - lightrag - INFO - _check_edge_existence:query:MATCH (a:`THE BEAUTIFUL YOUNG GIRL`)-[r]-(b:`THE COMELY MATRON`) RETURN COUNT(r) > 0 AS edgeExists:result:True +2024-10-30 05:54:29,538 - lightrag - INFO - get_edge:query: + MATCH (source:`THE BEAUTIFUL YOUNG GIRL`)-[r]-(target:`THE COMELY MATRON`) + RETURN r + :result:, ) type='DIRECTED' properties={'keywords': '"change, passage of time"', 'description': '"The Beautiful Young Girl evolves into The Comely Matron, representing the effects of time and choices made."', 'weight': 7.0, 'source_id': 'chunk-54bdd22db1f84a965b5f4c06c9216d8d'}> +2024-10-30 05:54:29,677 - lightrag - INFO - _check_edge_existence:query:MATCH (a:`THE CHILDREN`)-[r]-(b:`THE COMELY MATRON`) RETURN COUNT(r) > 0 AS edgeExists:result:True +2024-10-30 05:54:29,812 - lightrag - INFO - get_edge:query: + MATCH (source:`THE CHILDREN`)-[r]-(target:`THE COMELY MATRON`) + RETURN r + :result:, ) type='DIRECTED' properties={'keywords': '"family bonds, joy"', 'description': '"The Comely Matron fosters a lively environment with The Children, highlighting familial love and joy."', 'weight': 8.0, 'source_id': 'chunk-54bdd22db1f84a965b5f4c06c9216d8d'}> +2024-10-30 05:54:29,950 - lightrag - INFO - _check_edge_existence:query:MATCH (a:`THE CHILDREN`)-[r]-(b:`THE FATHER`) RETURN COUNT(r) > 0 AS edgeExists:result:True +2024-10-30 05:54:30,080 - lightrag - INFO - get_edge:query: + MATCH (source:`THE CHILDREN`)-[r]-(target:`THE FATHER`) + RETURN r + :result:, ) type='DIRECTED' properties={'keywords': '"familial joy, celebration"', 'description': '"The Father engages with the children, highlighting familial bonds and the excitement of Christmas celebrations."', 'weight': 8.0, 'source_id': 'chunk-da2472b4ef2a535b62908f14d0fb0ca9'}> +2024-10-30 05:54:30,216 - lightrag - INFO - _check_edge_existence:query:MATCH (a:`SCROOGE`)-[r]-(b:`THE DOWERLESS GIRL`) RETURN COUNT(r) > 0 AS edgeExists:result:True +2024-10-30 05:54:30,355 - lightrag - INFO - get_edge:query: + MATCH (source:`SCROOGE`)-[r]-(target:`THE DOWERLESS GIRL`) + RETURN r + :result:, ) type='DIRECTED' properties={'keywords': '"social constraints, regret"', 'description': '"Scrooge\'s reflections on the dowerless girl highlight the social constraints influencing his choices and feelings of regret."', 'weight': 6.0, 'source_id': 'chunk-54bdd22db1f84a965b5f4c06c9216d8d'}> +2024-10-30 05:54:30,493 - lightrag - INFO - _check_edge_existence:query:MATCH (a:`SCROOGE`)-[r]-(b:`THE MEMORY`) RETURN COUNT(r) > 0 AS edgeExists:result:True +2024-10-30 05:54:30,628 - lightrag - INFO - get_edge:query: + MATCH (source:`SCROOGE`)-[r]-(target:`THE MEMORY`) + RETURN r + :result:, ) type='DIRECTED' properties={'keywords': '"reflection, impact of past"', 'description': '"Scrooge\'s memories play a crucial role in shaping his perspective on love and happiness as he confronts his past."', 'weight': 8.0, 'source_id': 'chunk-54bdd22db1f84a965b5f4c06c9216d8d'}> +2024-10-30 05:54:30,770 - lightrag - INFO - _check_edge_existence:query:MATCH (a:`THE FATHER`)-[r]-(b:`THE WINTER FIRE`) RETURN COUNT(r) > 0 AS edgeExists:result:True +2024-10-30 05:54:30,905 - lightrag - INFO - get_edge:query: + MATCH (source:`THE FATHER`)-[r]-(target:`THE WINTER FIRE`) + RETURN r + :result:, ) type='DIRECTED' properties={'keywords': '"family reunion, warmth"', 'description': '"The Father\'s return to The Winter Fire represents the reunion of family and the warmth of home during the holiday season."', 'weight': 9.0, 'source_id': 'chunk-54bdd22db1f84a965b5f4c06c9216d8d'}> +2024-10-30 05:54:31,040 - lightrag - INFO - _check_edge_existence:query:MATCH (a:`HAPPINESS`)-[r]-(b:`THE BEAUTIFUL YOUNG GIRL`) RETURN COUNT(r) > 0 AS edgeExists:result:True +2024-10-30 05:54:31,174 - lightrag - INFO - get_edge:query: + MATCH (source:`HAPPINESS`)-[r]-(target:`THE BEAUTIFUL YOUNG GIRL`) + RETURN r + :result:, ) type='DIRECTED' properties={'keywords': '"lost happiness, longing"', 'description': '"The Beautiful Young Girl embodies the happiness that Scrooge once sought and now feels he has lost."', 'weight': 7.0, 'source_id': 'chunk-54bdd22db1f84a965b5f4c06c9216d8d'}> +2024-10-30 05:54:31,309 - lightrag - INFO - _check_edge_existence:query:MATCH (a:`HOPE`)-[r]-(b:`THE COMELY MATRON`) RETURN COUNT(r) > 0 AS edgeExists:result:True +2024-10-30 05:54:31,444 - lightrag - INFO - get_edge:query: + MATCH (source:`HOPE`)-[r]-(target:`THE COMELY MATRON`) + RETURN r + :result:, ) type='DIRECTED' properties={'keywords': '"hope, family love"', 'description': '"The Comely Matron represents the hope for a joyful and fulfilling family life, enhancing the themes of love and connection."', 'weight': 8.0, 'source_id': 'chunk-54bdd22db1f84a965b5f4c06c9216d8d'}> +2024-10-30 05:54:31,582 - lightrag - INFO - _check_edge_existence:query:MATCH (a:`THE COMELY MATRON`)-[r]-(b:`THE YOUNG BRIGANDS`) RETURN COUNT(r) > 0 AS edgeExists:result:True +2024-10-30 05:54:31,710 - lightrag - INFO - get_edge:query: + MATCH (source:`THE COMELY MATRON`)-[r]-(target:`THE YOUNG BRIGANDS`) + RETURN r + :result:, ) type='DIRECTED' properties={'keywords': '"chaos, joy of childhood"', 'description': '"The Comely Matron encourages the Young Brigands\' playfulness, highlighting the joy and chaos of family life."', 'weight': 7.0, 'source_id': 'chunk-54bdd22db1f84a965b5f4c06c9216d8d'}> +2024-10-30 05:54:31,861 - lightrag - INFO - _check_edge_existence:query:MATCH (a:`BELLE`)-[r]-(b:`SCROOGE`) RETURN COUNT(r) > 0 AS edgeExists:result:True +2024-10-30 05:54:32,000 - lightrag - INFO - get_edge:query: + MATCH (source:`BELLE`)-[r]-(target:`SCROOGE`) + RETURN r + :result:, ) type='DIRECTED' properties={'keywords': '"lost love, regret"', 'description': '"Scrooge reflects on his lost relationship with Belle, highlighting his feelings of regret and emotional pain."', 'weight': 8.0, 'source_id': 'chunk-da2472b4ef2a535b62908f14d0fb0ca9'}> +2024-10-30 05:54:32,135 - lightrag - INFO - _check_edge_existence:query:MATCH (a:`CHRISTMAS`)-[r]-(b:`THE SPIRIT`) RETURN COUNT(r) > 0 AS edgeExists:result:True +2024-10-30 05:54:32,266 - lightrag - INFO - get_edge:query: + MATCH (source:`CHRISTMAS`)-[r]-(target:`THE SPIRIT`) + RETURN r + :result:, ) type='DIRECTED' properties={'keywords': '"holiday spirit, compassion""seasonal influence, moral reflection"', 'description': '"The Spirit connects various scenes to the theme of Christmas, emphasizing its impact on individuals’ attitudes and behaviors.""The Spirit\'s appearances highlight the themes of Christmas and the importance of compassion and community."', 'weight': 17.0, 'source_id': 'chunk-91614df5cb74cbe5e109a338a82041e9chunk-da2472b4ef2a535b62908f14d0fb0ca9'}> +2024-10-30 05:54:32,406 - lightrag - INFO - _check_edge_existence:query:MATCH (a:`SCROOGE`)-[r]-(b:`THE OFFICE`) RETURN COUNT(r) > 0 AS edgeExists:result:True +2024-10-30 05:54:32,542 - lightrag - INFO - get_edge:query: + MATCH (source:`SCROOGE`)-[r]-(target:`THE OFFICE`) + RETURN r + :result:, ) type='DIRECTED' properties={'keywords': '"isolation, work ethic"', 'description': '"Scrooge\'s office reflects his solitary and business-driven life, showcasing his disconnection from familial and social ties."', 'weight': 6.0, 'source_id': 'chunk-da2472b4ef2a535b62908f14d0fb0ca9'}> +2024-10-30 05:54:32,679 - lightrag - INFO - _check_edge_existence:query:MATCH (a:`THE FATHER`)-[r]-(b:`THE MOTHER`) RETURN COUNT(r) > 0 AS edgeExists:result:True +2024-10-30 05:54:32,811 - lightrag - INFO - get_edge:query: + MATCH (source:`THE FATHER`)-[r]-(target:`THE MOTHER`) + RETURN r + :result:, ) type='DIRECTED' properties={'keywords': '"family dynamics, togetherness"', 'description': '"The Mother and Father are depicted together, emphasizing family dynamics during the festive occasion."', 'weight': 6.0, 'source_id': 'chunk-da2472b4ef2a535b62908f14d0fb0ca9'}> +2024-10-30 05:54:32,951 - lightrag - INFO - _check_edge_existence:query:MATCH (a:`THE BABY`)-[r]-(b:`THE CHILDREN`) RETURN COUNT(r) > 0 AS edgeExists:result:True +2024-10-30 05:54:33,083 - lightrag - INFO - get_edge:query: + MATCH (source:`THE BABY`)-[r]-(target:`THE CHILDREN`) + RETURN r + :result:, ) type='DIRECTED' properties={'keywords': '"playfulness, innocence"', 'description': '"The Children interact with The Baby in a playful manner, illustrating the innocence of youth during Christmas."', 'weight': 6.0, 'source_id': 'chunk-da2472b4ef2a535b62908f14d0fb0ca9'}> +2024-10-30 05:54:33,218 - lightrag - INFO - _check_edge_existence:query:MATCH (a:`THE CHILDREN`)-[r]-(b:`THE PORTER`) RETURN COUNT(r) > 0 AS edgeExists:result:True +2024-10-30 05:54:33,358 - lightrag - INFO - get_edge:query: + MATCH (source:`THE CHILDREN`)-[r]-(target:`THE PORTER`) + RETURN r + :result:, ) type='DIRECTED' properties={'keywords': '"playfulness, joy"', 'description': '"The Children playfully interact with the Porter, creating a scene of joyous chaos and affection."', 'weight': 9.0, 'source_id': 'chunk-da2472b4ef2a535b62908f14d0fb0ca9'}> +2024-10-30 05:54:33,495 - lightrag - INFO - _check_edge_existence:query:MATCH (a:`THE CHILDREN`)-[r]-(b:`THE MOTHER`) RETURN COUNT(r) > 0 AS edgeExists:result:True +2024-10-30 05:54:33,627 - lightrag - INFO - get_edge:query: + MATCH (source:`THE CHILDREN`)-[r]-(target:`THE MOTHER`) + RETURN r + :result:, ) type='DIRECTED' properties={'keywords': '"family care, joy"', 'description': '"The Mother facilitates the family celebrations, ensuring that her children experience joy during Christmas."', 'weight': 7.0, 'source_id': 'chunk-da2472b4ef2a535b62908f14d0fb0ca9'}> +2024-10-30 05:54:33,765 - lightrag - INFO - _check_edge_existence:query:MATCH (a:`HOME`)-[r]-(b:`THE MOTHER`) RETURN COUNT(r) > 0 AS edgeExists:result:True +2024-10-30 05:54:33,900 - lightrag - INFO - get_edge:query: + MATCH (source:`HOME`)-[r]-(target:`THE MOTHER`) + RETURN r + :result:, ) type='DIRECTED' properties={'keywords': '"family unity, celebration"', 'description': '"Home is where The Mother organizes the family Christmas celebration, serving as the heart of their togetherness."', 'weight': 9.0, 'source_id': 'chunk-da2472b4ef2a535b62908f14d0fb0ca9'}> +2024-10-30 05:54:34,033 - lightrag - INFO - _check_edge_existence:query:MATCH (a:`GHOST OF CHRISTMAS PRESENT`)-[r]-(b:`HOLLY`) RETURN COUNT(r) > 0 AS edgeExists:result:True +2024-10-30 05:54:34,166 - lightrag - INFO - get_edge:query: + MATCH (source:`GHOST OF CHRISTMAS PRESENT`)-[r]-(target:`HOLLY`) + RETURN r + :result:, ) type='DIRECTED' properties={'keywords': '"festive spirit, symbolism"', 'description': '"Holly is part of the Ghost\'s attire, reinforcing the themes of joy and celebration during Christmas."', 'weight': 9.0, 'source_id': 'chunk-843b5b2f944c7413d9ca876e2e2f151f'}> +2024-10-30 05:54:34,307 - lightrag - INFO - _check_edge_existence:query:MATCH (a:`GHOST OF CHRISTMAS PRESENT`)-[r]-(b:`MISTLETOE`) RETURN COUNT(r) > 0 AS edgeExists:result:True +2024-10-30 05:54:34,442 - lightrag - INFO - get_edge:query: + MATCH (source:`GHOST OF CHRISTMAS PRESENT`)-[r]-(target:`MISTLETOE`) + RETURN r + :result:, ) type='DIRECTED' properties={'keywords': '"tradition, symbolism"', 'description': '"The Spirit’s presence is enhanced by Mistletoe, a traditional decoration symbolizing love and goodwill."', 'weight': 7.0, 'source_id': 'chunk-843b5b2f944c7413d9ca876e2e2f151f'}> +2024-10-30 05:54:34,585 - lightrag - INFO - _check_edge_existence:query:MATCH (a:`GHOST OF CHRISTMAS PRESENT`)-[r]-(b:`RED BERRIES`) RETURN COUNT(r) > 0 AS edgeExists:result:True +2024-10-30 05:54:34,720 - lightrag - INFO - get_edge:query: + MATCH (source:`GHOST OF CHRISTMAS PRESENT`)-[r]-(target:`RED BERRIES`) + RETURN r + :result:, ) type='DIRECTED' properties={'keywords': '"festivity, abundance"', 'description': '"The Ghost is surrounded by Red Berries, reinforcing the imagery of Christmas abundance and decoration."', 'weight': 7.0, 'source_id': 'chunk-843b5b2f944c7413d9ca876e2e2f151f'}> +2024-10-30 05:54:34,860 - lightrag - INFO - _check_edge_existence:query:MATCH (a:`GHOST OF CHRISTMAS PRESENT`)-[r]-(b:`TURKEYS`) RETURN COUNT(r) > 0 AS edgeExists:result:True +2024-10-30 05:54:34,993 - lightrag - INFO - get_edge:query: + MATCH (source:`GHOST OF CHRISTMAS PRESENT`)-[r]-(target:`TURKEYS`) + RETURN r + :result:, ) type='DIRECTED' properties={'keywords': '"feasting, abundance"', 'description': '"The Ghost highlights the presence of Turkeys at the feast, emphasizing the spirit of generosity during Christmas."', 'weight': 8.0, 'source_id': 'chunk-843b5b2f944c7413d9ca876e2e2f151f'}> +2024-10-30 05:54:35,132 - lightrag - INFO - _check_edge_existence:query:MATCH (a:`GHOST OF CHRISTMAS PRESENT`)-[r]-(b:`POULTRY`) RETURN COUNT(r) > 0 AS edgeExists:result:True +2024-10-30 05:54:35,264 - lightrag - INFO - get_edge:query: + MATCH (source:`GHOST OF CHRISTMAS PRESENT`)-[r]-(target:`POULTRY`) + RETURN r + :result:, ) type='DIRECTED' properties={'keywords': '"feast, tradition"', 'description': '"The Ghost presents Poultry as part of the Christmas spread, highlighting the traditional meals associated with the holiday."', 'weight': 8.0, 'source_id': 'chunk-843b5b2f944c7413d9ca876e2e2f151f'}> +2024-10-30 05:54:35,402 - lightrag - INFO - _check_edge_existence:query:MATCH (a:`GHOST OF CHRISTMAS PRESENT`)-[r]-(b:`MEAT`) RETURN COUNT(r) > 0 AS edgeExists:result:True +2024-10-30 05:54:35,539 - lightrag - INFO - get_edge:query: + MATCH (source:`GHOST OF CHRISTMAS PRESENT`)-[r]-(target:`MEAT`) + RETURN r + :result:, ) type='DIRECTED' properties={'keywords': '"abundance, generosity"', 'description': '"The included Meat within the Ghost\'s feast symbolizes abundance and the spirit of generosity during Christmas."', 'weight': 8.0, 'source_id': 'chunk-843b5b2f944c7413d9ca876e2e2f151f'}> +2024-10-30 05:54:35,677 - lightrag - INFO - _check_edge_existence:query:MATCH (a:`GHOST OF CHRISTMAS PRESENT`)-[r]-(b:`SAUSAGES`) RETURN COUNT(r) > 0 AS edgeExists:result:True +2024-10-30 05:54:35,812 - lightrag - INFO - get_edge:query: + MATCH (source:`GHOST OF CHRISTMAS PRESENT`)-[r]-(target:`SAUSAGES`) + RETURN r + :result:, ) type='DIRECTED' properties={'keywords': '"celebration, abundance"', 'description': '"Sausages contribute to the lavish spread, symbolizing the abundance of the Christmas feast."', 'weight': 7.0, 'source_id': 'chunk-843b5b2f944c7413d9ca876e2e2f151f'}> +2024-10-30 05:54:35,951 - lightrag - INFO - _check_edge_existence:query:MATCH (a:`GHOST OF CHRISTMAS PRESENT`)-[r]-(b:`OYSTERS`) RETURN COUNT(r) > 0 AS edgeExists:result:True +2024-10-30 05:54:36,083 - lightrag - INFO - get_edge:query: + MATCH (source:`GHOST OF CHRISTMAS PRESENT`)-[r]-(target:`OYSTERS`) + RETURN r + :result:, ) type='DIRECTED' properties={'keywords': '"luxury, celebration"', 'description': '"The inclusion of Oysters in the Christmas feast illustrates the luxury and indulgence during festive celebrations."', 'weight': 8.0, 'source_id': 'chunk-843b5b2f944c7413d9ca876e2e2f151f'}> +2024-10-30 05:54:36,218 - lightrag - INFO - _check_edge_existence:query:MATCH (a:`GHOST OF CHRISTMAS PRESENT`)-[r]-(b:`PIES`) RETURN COUNT(r) > 0 AS edgeExists:result:True +2024-10-30 05:54:36,352 - lightrag - INFO - get_edge:query: + MATCH (source:`GHOST OF CHRISTMAS PRESENT`)-[r]-(target:`PIES`) + RETURN r + :result:, ) type='DIRECTED' properties={'keywords': '"tradition, dessert"', 'description': '"Pies presented by the Ghost highlight the traditions of holiday desserts shared among families."', 'weight': 8.0, 'source_id': 'chunk-843b5b2f944c7413d9ca876e2e2f151f'}> +2024-10-30 05:54:36,489 - lightrag - INFO - _check_edge_existence:query:MATCH (a:`GHOST OF CHRISTMAS PRESENT`)-[r]-(b:`PUDDINGS`) RETURN COUNT(r) > 0 AS edgeExists:result:True +2024-10-30 05:54:36,629 - lightrag - INFO - get_edge:query: + MATCH (source:`GHOST OF CHRISTMAS PRESENT`)-[r]-(target:`PUDDINGS`) + RETURN r + :result:, ) type='DIRECTED' properties={'keywords': '"warmth, comfort"', 'description': '"Puddings are part of the Ghost’s feast, embodying warmth and comfort during the Christmas season."', 'weight': 8.0, 'source_id': 'chunk-843b5b2f944c7413d9ca876e2e2f151f'}> +2024-10-30 05:54:36,763 - lightrag - INFO - _check_edge_existence:query:MATCH (a:`FRUIT`)-[r]-(b:`GHOST OF CHRISTMAS PRESENT`) RETURN COUNT(r) > 0 AS edgeExists:result:True +2024-10-30 05:54:36,906 - lightrag - INFO - get_edge:query: + MATCH (source:`FRUIT`)-[r]-(target:`GHOST OF CHRISTMAS PRESENT`) + RETURN r + :result:, ) type='DIRECTED' properties={'keywords': '"sharing, abundance"', 'description': '"Fruit served by the Ghost reinforces the joy of sharing and the abundance of the Christmas season."', 'weight': 8.0, 'source_id': 'chunk-843b5b2f944c7413d9ca876e2e2f151f'}> +2024-10-30 05:54:37,046 - lightrag - INFO - _check_edge_existence:query:MATCH (a:`GHOST OF CHRISTMAS PRESENT`)-[r]-(b:`PUNCH`) RETURN COUNT(r) > 0 AS edgeExists:result:True +2024-10-30 05:54:37,177 - lightrag - INFO - get_edge:query: + MATCH (source:`GHOST OF CHRISTMAS PRESENT`)-[r]-(target:`PUNCH`) + RETURN r + :result:, ) type='DIRECTED' properties={'keywords': '"celebration, festivity"', 'description': '"Punch serves as a festive drink shared during Christmas, enhancing the celebratory atmosphere."', 'weight': 8.0, 'source_id': 'chunk-843b5b2f944c7413d9ca876e2e2f151f'}> +2024-10-30 05:54:37,315 - lightrag - INFO - _check_edge_existence:query:MATCH (a:`ANTIQUE SCABBARD`)-[r]-(b:`GHOST OF CHRISTMAS PRESENT`) RETURN COUNT(r) > 0 AS edgeExists:result:True +2024-10-30 05:54:37,447 - lightrag - INFO - get_edge:query: + MATCH (source:`ANTIQUE SCABBARD`)-[r]-(target:`GHOST OF CHRISTMAS PRESENT`) + RETURN r + :result:, ) type='DIRECTED' properties={'keywords': '"history, guardianship"', 'description': '"The Antique Scabbard worn by the Spirit symbolizes history and the guardianship of Christmas traditions."', 'weight': 7.0, 'source_id': 'chunk-843b5b2f944c7413d9ca876e2e2f151f'}> +2024-10-30 05:54:37,582 - lightrag - INFO - _check_edge_existence:query:MATCH (a:`CHRISTMAS`)-[r]-(b:`GROCERS'`) RETURN COUNT(r) > 0 AS edgeExists:result:True +2024-10-30 05:54:37,713 - lightrag - INFO - get_edge:query: + MATCH (source:`CHRISTMAS`)-[r]-(target:`GROCERS'`) + RETURN r + :result:, ) type='DIRECTED' properties={'keywords': '"retail, festive celebration"', 'description': '"The Grocers\' organization plays a crucial role during Christmas by providing goods that contribute to the festive spirit."', 'weight': 8.0, 'source_id': 'chunk-99b0ec7f7e006561352b5d65e849611d'}> +2024-10-30 05:54:37,849 - lightrag - INFO - _check_edge_existence:query:MATCH (a:`CHRISTMAS`)-[r]-(b:`PEOPLE`) RETURN COUNT(r) > 0 AS edgeExists:result:True +2024-10-30 05:54:37,986 - lightrag - INFO - get_edge:query: + MATCH (source:`CHRISTMAS`)-[r]-(target:`PEOPLE`) + RETURN r + :result:, ) type='DIRECTED' properties={'keywords': '"community celebration, joy"', 'description': '"The People are actively engaged in the celebration of Christmas, demonstrating joy and festivity despite the harsh weather conditions."', 'weight': 9.0, 'source_id': 'chunk-99b0ec7f7e006561352b5d65e849611d'}> +2024-10-30 05:54:38,128 - lightrag - INFO - _check_edge_existence:query:MATCH (a:`CHRISTMAS`)-[r]-(b:`GREAT BRITAIN`) RETURN COUNT(r) > 0 AS edgeExists:result:True +2024-10-30 05:54:38,256 - lightrag - INFO - get_edge:query: + MATCH (source:`CHRISTMAS`)-[r]-(target:`GREAT BRITAIN`) + RETURN r + :result:, ) type='DIRECTED' properties={'keywords': '"celebration, societal mood"', 'description': '"The celebration of Christmas brings a cheerful atmosphere to Great Britain despite the gloomy weather conditions."', 'weight': 7.0, 'source_id': 'chunk-99b0ec7f7e006561352b5d65e849611d'}> +2024-10-30 05:54:38,395 - lightrag - INFO - _check_edge_existence:query:MATCH (a:`SCROOGE`)-[r]-(b:`SPIRIT OF CHRISTMAS PRESENT`) RETURN COUNT(r) > 0 AS edgeExists:result:True +2024-10-30 05:54:38,530 - lightrag - INFO - get_edge:query: + MATCH (source:`SCROOGE`)-[r]-(target:`SPIRIT OF CHRISTMAS PRESENT`) + RETURN r + :result:, ) type='DIRECTED' properties={'keywords': '"transformation, generosity"', 'description': '"Scrooge interacts with the Spirit of Christmas Present, who shows him the joys of Christmas and the importance of generosity."', 'weight': 8.0, 'source_id': 'chunk-b0f459f5af1c3a5e0b92cbe4ee48b77b'}> +2024-10-30 05:54:38,669 - lightrag - INFO - _check_edge_existence:query:MATCH (a:`BOB CRATCHIT`)-[r]-(b:`SPIRIT OF CHRISTMAS PRESENT`) RETURN COUNT(r) > 0 AS edgeExists:result:True +2024-10-30 05:54:38,804 - lightrag - INFO - get_edge:query: + MATCH (source:`BOB CRATCHIT`)-[r]-(target:`SPIRIT OF CHRISTMAS PRESENT`) + RETURN r + :result:, ) type='DIRECTED' properties={'keywords': '"blessing, compassion"', 'description': '"The Spirit blesses Bob Cratchit’s dwelling, symbolizing the recognition of the Cratchit family\'s struggles and joys on Christmas Day."', 'weight': 9.0, 'source_id': 'chunk-b0f459f5af1c3a5e0b92cbe4ee48b77b'}> +2024-10-30 05:54:38,943 - lightrag - INFO - _check_edge_existence:query:MATCH (a:`BOB CRATCHIT`)-[r]-(b:`THE CRATCHIT HOUSEHOLD`) RETURN COUNT(r) > 0 AS edgeExists:result:True +2024-10-30 05:54:39,074 - lightrag - INFO - get_edge:query: + MATCH (source:`BOB CRATCHIT`)-[r]-(target:`THE CRATCHIT HOUSEHOLD`) + RETURN r + :result:, ) type='DIRECTED' properties={'keywords': '"family, support"', 'description': '"Bob Cratchit leads his family, representing resilience and love in the face of hardship, which is celebrated by the Spirit."', 'weight': 8.0, 'source_id': 'chunk-b0f459f5af1c3a5e0b92cbe4ee48b77b'}> +2024-10-30 05:54:39,207 - lightrag - INFO - _check_edge_existence:query:MATCH (a:`MRS. CRATCHIT`)-[r]-(b:`THE CRATCHIT HOUSEHOLD`) RETURN COUNT(r) > 0 AS edgeExists:result:True +2024-10-30 05:54:39,340 - lightrag - INFO - get_edge:query: + MATCH (source:`MRS. CRATCHIT`)-[r]-(target:`THE CRATCHIT HOUSEHOLD`) + RETURN r + :result:, ) type='DIRECTED' properties={'keywords': '"dedication, familial love"', 'description': '"Mrs. Cratchit contributes to the family’s efforts to celebrate Christmas, demonstrating dedication and caring."', 'weight': 7.0, 'source_id': 'chunk-b0f459f5af1c3a5e0b92cbe4ee48b77b'}> +2024-10-30 05:54:39,480 - lightrag - INFO - _check_edge_existence:query:MATCH (a:`BELINDA CRATCHIT`)-[r]-(b:`THE CRATCHIT HOUSEHOLD`) RETURN COUNT(r) > 0 AS edgeExists:result:True +2024-10-30 05:54:39,609 - lightrag - INFO - get_edge:query: + MATCH (source:`BELINDA CRATCHIT`)-[r]-(target:`THE CRATCHIT HOUSEHOLD`) + RETURN r + :result:, ) type='DIRECTED' properties={'keywords': '"cooperation, family bonds"', 'description': '"Belinda plays an active role in the household duties, reinforcing the theme of cooperation and togetherness."', 'weight': 6.0, 'source_id': 'chunk-b0f459f5af1c3a5e0b92cbe4ee48b77b'}> +2024-10-30 05:54:39,749 - lightrag - INFO - _check_edge_existence:query:MATCH (a:`MRS. CRATCHIT`)-[r]-(b:`PETER CRATCHIT`) RETURN COUNT(r) > 0 AS edgeExists:result:True +2024-10-30 05:54:39,887 - lightrag - INFO - get_edge:query: + MATCH (source:`MRS. CRATCHIT`)-[r]-(target:`PETER CRATCHIT`) + RETURN r + :result:, ) type='DIRECTED' properties={'keywords': '"family participation, dynamic"', 'description': '"Peter Cratchit assists his mother, reflecting the family dynamic and contribution of children during festive preparations."', 'weight': 7.0, 'source_id': 'chunk-b0f459f5af1c3a5e0b92cbe4ee48b77b'}> +2024-10-30 05:54:40,031 - lightrag - INFO - _check_edge_existence:query:MATCH (a:`THE GROCER`)-[r]-(b:`THE PEOPLE`) RETURN COUNT(r) > 0 AS edgeExists:result:True +2024-10-30 05:54:40,161 - lightrag - INFO - get_edge:query: + MATCH (source:`THE GROCER`)-[r]-(target:`THE PEOPLE`) + RETURN r + :result:, ) type='DIRECTED' properties={'keywords': '"community spirit, warmth"', 'description': '"The Grocer interacts warmly with The People, fostering a sense of community and celebration during Christmas."', 'weight': 8.0, 'source_id': 'chunk-b0f459f5af1c3a5e0b92cbe4ee48b77b'}> +2024-10-30 05:54:40,298 - lightrag - INFO - _check_edge_existence:query:MATCH (a:`THE CRATCHIT HOUSEHOLD`)-[r]-(b:`THE SPIRIT OF CHRISTMAS PRESENT`) RETURN COUNT(r) > 0 AS edgeExists:result:True +2024-10-30 05:54:40,429 - lightrag - INFO - get_edge:query: + MATCH (source:`THE CRATCHIT HOUSEHOLD`)-[r]-(target:`THE SPIRIT OF CHRISTMAS PRESENT`) + RETURN r + :result:, ) type='DIRECTED' properties={'keywords': '"observation, blessing"', 'description': '"The Spirit observes and blesses The Cratchit Household, showcasing the joy and struggles of families during Christmas."', 'weight': 9.0, 'source_id': 'chunk-b0f459f5af1c3a5e0b92cbe4ee48b77b'}> +2024-10-30 05:54:40,568 - lightrag - INFO - _check_edge_existence:query:MATCH (a:`THE BAKER'S SHOP`)-[r]-(b:`THE PEOPLE`) RETURN COUNT(r) > 0 AS edgeExists:result:True +2024-10-30 05:54:40,703 - lightrag - INFO - get_edge:query: + MATCH (source:`THE BAKER'S SHOP`)-[r]-(target:`THE PEOPLE`) + RETURN r + :result:, ) type='DIRECTED' properties={'keywords': '"community, gathering place"', 'description': '"The Baker\'s Shop serves as a gathering place for The People, symbolizing community and shared meals on Christmas Day."', 'weight': 7.0, 'source_id': 'chunk-b0f459f5af1c3a5e0b92cbe4ee48b77b'}> +2024-10-30 05:54:40,842 - lightrag - INFO - _check_edge_existence:query:MATCH (a:`THE SPIRIT OF CHRISTMAS PRESENT`)-[r]-(b:`THE STREETS`) RETURN COUNT(r) > 0 AS edgeExists:result:True +2024-10-30 05:54:40,977 - lightrag - INFO - get_edge:query: + MATCH (source:`THE SPIRIT OF CHRISTMAS PRESENT`)-[r]-(target:`THE STREETS`) + RETURN r + :result:, ) type='DIRECTED' properties={'keywords': '"guidance, social awareness"', 'description': '"The Spirit guides Scrooge through The Streets, revealing the festive nature and challenges faced by the townsfolk."', 'weight': 8.0, 'source_id': 'chunk-b0f459f5af1c3a5e0b92cbe4ee48b77b'}> +2024-10-30 05:54:41,115 - lightrag - INFO - _check_edge_existence:query:MATCH (a:`THE CRATCHIT HOUSEHOLD`)-[r]-(b:`THE SUBURBS`) RETURN COUNT(r) > 0 AS edgeExists:result:True +2024-10-30 05:54:41,248 - lightrag - INFO - get_edge:query: + MATCH (source:`THE CRATCHIT HOUSEHOLD`)-[r]-(target:`THE SUBURBS`) + RETURN r + :result:, ) type='DIRECTED' properties={'keywords': '"social commentary, inequality"', 'description': '"The Suburbs illustrate the challenges faced by families like The Cratchit Household, emphasizing social inequality."', 'weight': 6.0, 'source_id': 'chunk-b0f459f5af1c3a5e0b92cbe4ee48b77b'}> +2024-10-30 05:54:41,383 - lightrag - INFO - _check_edge_existence:query:MATCH (a:`DINNERS`)-[r]-(b:`THE CRATCHIT HOUSEHOLD`) RETURN COUNT(r) > 0 AS edgeExists:result:True +2024-10-30 05:54:41,517 - lightrag - INFO - get_edge:query: + MATCH (source:`DINNERS`)-[r]-(target:`THE CRATCHIT HOUSEHOLD`) + RETURN r + :result:, ) type='DIRECTED' properties={'keywords': '"togetherness, familial love"', 'description': '"The dinners prepared by The Cratchit Household signify love and togetherness, reflecting on the importance of family meals during the holidays."', 'weight': 8.0, 'source_id': 'chunk-b0f459f5af1c3a5e0b92cbe4ee48b77b'}> +2024-10-30 05:54:41,655 - lightrag - INFO - _check_edge_existence:query:MATCH (a:`BOB CRATCHIT`)-[r]-(b:`MARTHA`) RETURN COUNT(r) > 0 AS edgeExists:result:True +2024-10-30 05:54:41,787 - lightrag - INFO - get_edge:query: + MATCH (source:`BOB CRATCHIT`)-[r]-(target:`MARTHA`) + RETURN r + :result:, ) type='DIRECTED' properties={'keywords': '"family reunion, surprise"', 'description': '"Martha surprises Bob Cratchit by coming home late for Christmas dinner, showing the family\'s love and warmth in reunions."', 'weight': 8.0, 'source_id': 'chunk-7e2e7ebcc19a53b399dc03aded4743e7'}> +2024-10-30 05:54:41,927 - lightrag - INFO - _check_edge_existence:query:MATCH (a:`CRATCHIT CHRISTMAS DINNER`)-[r]-(b:`CRATCHIT FAMILY`) RETURN COUNT(r) > 0 AS edgeExists:result:True +2024-10-30 05:54:42,061 - lightrag - INFO - get_edge:query: + MATCH (source:`CRATCHIT CHRISTMAS DINNER`)-[r]-(target:`CRATCHIT FAMILY`) + RETURN r + :result:, ) type='DIRECTED' properties={'keywords': '"family celebration, togetherness"', 'description': '"The Cratchit Family comes together to celebrate Christmas dinner, encapsulating their unity and joyful spirit during the holiday season."', 'weight': 10.0, 'source_id': 'chunk-7e2e7ebcc19a53b399dc03aded4743e7'}> +2024-10-30 05:54:42,194 - lightrag - INFO - _check_edge_existence:query:MATCH (a:`CRATCHIT FAMILY`)-[r]-(b:`TINY TIM`) RETURN COUNT(r) > 0 AS edgeExists:result:True +2024-10-30 05:54:42,327 - lightrag - INFO - get_edge:query: + MATCH (source:`CRATCHIT FAMILY`)-[r]-(target:`TINY TIM`) + RETURN r + :result:, ) type='DIRECTED' properties={'keywords': '"family bond, celebration""family ties, innocence"', 'description': '"Tiny Tim\'s presence in the Cratchit family adds to their joy and highlights the family\'s spirit of togetherness during Christmas.""Tiny Tim, as part of the Cratchit Family, represents the innocence and vulnerability of the family, affecting their dynamics during Christmas."', 'weight': 15.0, 'source_id': 'chunk-7e2e7ebcc19a53b399dc03aded4743e7chunk-19d72c57ae3408758b18d2568e86dc6b'}> +2024-10-30 05:54:42,464 - lightrag - INFO - _check_edge_existence:query:MATCH (a:`CRATCHIT CHRISTMAS DINNER`)-[r]-(b:`MRS. CRATCHIT`) RETURN COUNT(r) > 0 AS edgeExists:result:True +2024-10-30 05:54:42,600 - lightrag - INFO - get_edge:query: + MATCH (source:`CRATCHIT CHRISTMAS DINNER`)-[r]-(target:`MRS. CRATCHIT`) + RETURN r + :result:, ) type='DIRECTED' properties={'keywords': '"family dedication, celebration"', 'description': '"Mrs. Cratchit plays a vital role in organizing and preparing the Christmas dinner, showcasing her dedication to the family."', 'weight': 9.0, 'source_id': 'chunk-7e2e7ebcc19a53b399dc03aded4743e7'}> +2024-10-30 05:54:42,739 - lightrag - INFO - _check_edge_existence:query:MATCH (a:`CRATCHIT CHRISTMAS DINNER`)-[r]-(b:`THE GOOSE`) RETURN COUNT(r) > 0 AS edgeExists:result:True +2024-10-30 05:54:42,870 - lightrag - INFO - get_edge:query: + MATCH (source:`CRATCHIT CHRISTMAS DINNER`)-[r]-(target:`THE GOOSE`) + RETURN r + :result:, ) type='DIRECTED' properties={'keywords': '"central dish, festive tradition"', 'description': '"The Goose is the centerpiece of the Cratchit Christmas dinner, symbolizing the family\'s festive spirit and shared joy."', 'weight': 10.0, 'source_id': 'chunk-7e2e7ebcc19a53b399dc03aded4743e7'}> +2024-10-30 05:54:43,009 - lightrag - INFO - _check_edge_existence:query:MATCH (a:`THE YOUNG CRATCHITS`)-[r]-(b:`TINY TIM`) RETURN COUNT(r) > 0 AS edgeExists:result:True +2024-10-30 05:54:43,143 - lightrag - INFO - get_edge:query: + MATCH (source:`THE YOUNG CRATCHITS`)-[r]-(target:`TINY TIM`) + RETURN r + :result:, ) type='DIRECTED' properties={'keywords': '"sibling bond, family dynamics"', 'description': '"The Young Cratchits enthusiastically engage with Tiny Tim during the celebrations, highlighting the loving dynamics of the Cratchit family."', 'weight': 8.0, 'source_id': 'chunk-7e2e7ebcc19a53b399dc03aded4743e7'}> +2024-10-30 05:54:43,278 - lightrag - INFO - _check_edge_existence:query:MATCH (a:`THE FIRE`)-[r]-(b:`TINY TIM`) RETURN COUNT(r) > 0 AS edgeExists:result:True +2024-10-30 05:54:43,409 - lightrag - INFO - get_edge:query: + MATCH (source:`THE FIRE`)-[r]-(target:`TINY TIM`) + RETURN r + :result:, ) type='DIRECTED' properties={'keywords': '"warmth, family support"', 'description': '"Tiny Tim is seen being supported by the family at the warmth of the Fire, which adds comfort and cheer to their gathering."', 'weight': 8.0, 'source_id': 'chunk-7e2e7ebcc19a53b399dc03aded4743e7'}> +2024-10-30 05:54:43,544 - lightrag - INFO - _check_edge_existence:query:MATCH (a:`CRATCHIT CHRISTMAS DINNER`)-[r]-(b:`THE PUDDING`) RETURN COUNT(r) > 0 AS edgeExists:result:True +2024-10-30 05:54:43,675 - lightrag - INFO - get_edge:query: + MATCH (source:`CRATCHIT CHRISTMAS DINNER`)-[r]-(target:`THE PUDDING`) + RETURN r + :result:, ) type='DIRECTED' properties={'keywords': '"traditional dish, celebration"', 'description': '"The Pudding is an important dish that signals the culmination of the Cratchit Christmas dinner, emphasizing the joy and festivity of the occasion."', 'weight': 9.0, 'source_id': 'chunk-7e2e7ebcc19a53b399dc03aded4743e7'}> +2024-10-30 05:54:43,814 - lightrag - INFO - _check_edge_existence:query:MATCH (a:`MRS. CRATCHIT`)-[r]-(b:`THE DINNER`) RETURN COUNT(r) > 0 AS edgeExists:result:True +2024-10-30 05:54:43,951 - lightrag - INFO - get_edge:query: + MATCH (source:`MRS. CRATCHIT`)-[r]-(target:`THE DINNER`) + RETURN r + :result:, ) type='DIRECTED' properties={'keywords': '"food preparation, holiday tradition"', 'description': '"Mrs. Cratchit prepares the dinner with pride, particularly the pudding, making it a highlight of the family\'s Christmas celebration."', 'weight': 9.0, 'source_id': 'chunk-503f0bfa5453467c7c61d160a3540eca'}> +2024-10-30 05:54:44,087 - lightrag - INFO - _check_edge_existence:query:MATCH (a:`THE CRATCHIT FAMILY`)-[r]-(b:`THE DINNER`) RETURN COUNT(r) > 0 AS edgeExists:result:True +2024-10-30 05:54:44,218 - lightrag - INFO - get_edge:query: + MATCH (source:`THE CRATCHIT FAMILY`)-[r]-(target:`THE DINNER`) + RETURN r + :result:, ) type='DIRECTED' properties={'keywords': '"family unity, celebration"', 'description': '"The Cratchit Family comes together for The Dinner, showcasing their unity and holiday spirit, despite their modest means."', 'weight': 10.0, 'source_id': 'chunk-503f0bfa5453467c7c61d160a3540eca'}> +2024-10-30 05:54:44,359 - lightrag - INFO - _check_edge_existence:query:MATCH (a:`SCROOGE`)-[r]-(b:`TINY TIM`) RETURN COUNT(r) > 0 AS edgeExists:result:True +2024-10-30 05:54:44,499 - lightrag - INFO - get_edge:query: + MATCH (source:`SCROOGE`)-[r]-(target:`TINY TIM`) + RETURN r + :result:, ) type='DIRECTED' properties={'keywords': '"personal transformation, empathy""transformation, mentorship""transformation, redemption"', 'description': '"Scrooge becomes a father figure to Tiny Tim, showing a deep commitment to his well-being after realizing the importance of family and caring for others.""Scrooge reflects on Tiny Tim and expresses concern for his wellbeing, indicating a pivotal change in his character and attitudes towards the less fortunate.""Scrooge\'s transformation is influenced by his reflections on the impact of Tiny Tim\'s life and death."', 'weight': 26.0, 'source_id': 'chunk-94bea83e7153fc2064aa382b494936a1chunk-503f0bfa5453467c7c61d160a3540ecachunk-91572b3cd42786ba4cb2f180ca25cbf4'}> +2024-10-30 05:54:44,634 - lightrag - INFO - _check_edge_existence:query:MATCH (a:`THE DINNER`)-[r]-(b:`THE GOOSE`) RETURN COUNT(r) > 0 AS edgeExists:result:True +2024-10-30 05:54:44,762 - lightrag - INFO - get_edge:query: + MATCH (source:`THE DINNER`)-[r]-(target:`THE GOOSE`) + RETURN r + :result:, ) type='DIRECTED' properties={'keywords': '"holiday meal, celebration"', 'description': '"The Goose is a significant part of The Dinner, representing the main course that brings joy and satisfaction to the Cratchit family."', 'weight': 8.0, 'source_id': 'chunk-503f0bfa5453467c7c61d160a3540eca'}> +2024-10-30 05:54:44,902 - lightrag - INFO - _check_edge_existence:query:MATCH (a:`THE DINNER`)-[r]-(b:`THE PUDDING`) RETURN COUNT(r) > 0 AS edgeExists:result:True +2024-10-30 05:54:45,036 - lightrag - INFO - get_edge:query: + MATCH (source:`THE DINNER`)-[r]-(target:`THE PUDDING`) + RETURN r + :result:, ) type='DIRECTED' properties={'keywords': '"dessert, holiday tradition"', 'description': '"The Pudding is a highlight of The Dinner, showcasing Mrs. Cratchit\'s skill and adding to the festive atmosphere."', 'weight': 9.0, 'source_id': 'chunk-503f0bfa5453467c7c61d160a3540eca'}> +2024-10-30 05:54:45,179 - lightrag - INFO - _check_edge_existence:query:MATCH (a:`MISS BELINDA`)-[r]-(b:`THE DINNER`) RETURN COUNT(r) > 0 AS edgeExists:result:True +2024-10-30 05:54:45,308 - lightrag - INFO - get_edge:query: + MATCH (source:`MISS BELINDA`)-[r]-(target:`THE DINNER`) + RETURN r + :result:, ) type='DIRECTED' properties={'keywords': '"family contribution, teamwork"', 'description': '"Miss Belinda\'s role in changing the plates represents her contribution to the family effort in celebrating The Dinner."', 'weight': 7.0, 'source_id': 'chunk-503f0bfa5453467c7c61d160a3540eca'}> +2024-10-30 05:54:45,446 - lightrag - INFO - _check_edge_existence:query:MATCH (a:`CHRISTMAS`)-[r]-(b:`THE DINNER`) RETURN COUNT(r) > 0 AS edgeExists:result:True +2024-10-30 05:54:45,582 - lightrag - INFO - get_edge:query: + MATCH (source:`CHRISTMAS`)-[r]-(target:`THE DINNER`) + RETURN r + :result:, ) type='DIRECTED' properties={'keywords': '"festive occasion, celebration"', 'description': '"The Dinner is part of the Christmas celebration, reflecting the traditions and spirit associated with this holiday."', 'weight': 10.0, 'source_id': 'chunk-503f0bfa5453467c7c61d160a3540eca'}> +2024-10-30 05:54:45,721 - lightrag - INFO - _check_edge_existence:query:MATCH (a:`SCROOGE`)-[r]-(b:`THE FOUNDER OF THE FEAST`) RETURN COUNT(r) > 0 AS edgeExists:result:True +2024-10-30 05:54:45,855 - lightrag - INFO - get_edge:query: + MATCH (source:`SCROOGE`)-[r]-(target:`THE FOUNDER OF THE FEAST`) + RETURN r + :result:, ) type='DIRECTED' properties={'keywords': '"gratitude, recognition"', 'description': '"Scrooge\'s contribution as The Founder of the Feast is acknowledged by Bob, highlighting the connection between Scrooge and the Cratchit family\'s Christmas dinner."', 'weight': 8.0, 'source_id': 'chunk-503f0bfa5453467c7c61d160a3540eca'}> +2024-10-30 05:54:45,996 - lightrag - INFO - _check_edge_existence:query:MATCH (a:`MRS. CRATCHIT`)-[r]-(b:`SCROOGE`) RETURN COUNT(r) > 0 AS edgeExists:result:True +2024-10-30 05:54:46,130 - lightrag - INFO - get_edge:query: + MATCH (source:`MRS. CRATCHIT`)-[r]-(target:`SCROOGE`) + RETURN r + :result:, ) type='DIRECTED' properties={'keywords': '"criticism, emotional conflict"', 'description': '"Mrs. Cratchit openly criticizes Scrooge during the Christmas dinner, expressing her feelings towards him and emphasizing the family\'s resentment."', 'weight': 8.0, 'source_id': 'chunk-19d72c57ae3408758b18d2568e86dc6b'}> +2024-10-30 05:54:46,267 - lightrag - INFO - _check_edge_existence:query:MATCH (a:`CRATCHIT FAMILY`)-[r]-(b:`THE SPIRIT`) RETURN COUNT(r) > 0 AS edgeExists:result:True +2024-10-30 05:54:46,399 - lightrag - INFO - get_edge:query: + MATCH (source:`CRATCHIT FAMILY`)-[r]-(target:`THE SPIRIT`) + RETURN r + :result:, ) type='DIRECTED' properties={'keywords': '"holiday spirit, influence"', 'description': '"The Spirit influences the Christmas gathering of the Cratchit family by promoting joy and generosity, impacting their celebration."', 'weight': 9.0, 'source_id': 'chunk-19d72c57ae3408758b18d2568e86dc6b'}> +2024-10-30 05:54:46,535 - lightrag - INFO - _check_edge_existence:query:MATCH (a:`CHRISTMAS DAY`)-[r]-(b:`CRATCHIT FAMILY`) RETURN COUNT(r) > 0 AS edgeExists:result:True +2024-10-30 05:54:46,668 - lightrag - INFO - get_edge:query: + MATCH (source:`CHRISTMAS DAY`)-[r]-(target:`CRATCHIT FAMILY`) + RETURN r + :result:, ) type='DIRECTED' properties={'keywords': '"celebration, tradition""celebration, unity"', 'description': '"The Cratchit Family gathers to celebrate Christmas Day, reflecting their togetherness and joy despite their hardships.""The Cratchit Family\'s celebration on Christmas Day emphasizes their unity and joy in sharing the holiday together."', 'weight': 19.0, 'source_id': 'chunk-7e2e7ebcc19a53b399dc03aded4743e7chunk-19d72c57ae3408758b18d2568e86dc6b'}> +2024-10-30 05:54:46,808 - lightrag - INFO - _check_edge_existence:query:MATCH (a:`MARTHA CRATCHIT`)-[r]-(b:`PETER CRATCHIT`) RETURN COUNT(r) > 0 AS edgeExists:result:True +2024-10-30 05:54:46,942 - lightrag - INFO - get_edge:query: + MATCH (source:`MARTHA CRATCHIT`)-[r]-(target:`PETER CRATCHIT`) + RETURN r + :result:, ) type='DIRECTED' properties={'keywords': '"sibling relationship, family dynamics"', 'description': '"Peter and Martha interact as siblings during the Christmas gathering, reflecting familial bonds and shared experiences."', 'weight': 7.0, 'source_id': 'chunk-19d72c57ae3408758b18d2568e86dc6b'}> +2024-10-30 05:54:47,081 - lightrag - INFO - _check_edge_existence:query:MATCH (a:`MARTHA CRATCHIT`)-[r]-(b:`THE COUNTESS`) RETURN COUNT(r) > 0 AS edgeExists:result:True +2024-10-30 05:54:47,215 - lightrag - INFO - get_edge:query: + MATCH (source:`MARTHA CRATCHIT`)-[r]-(target:`THE COUNTESS`) + RETURN r + :result:, ) type='DIRECTED' properties={'keywords': '"social aspirations, class contrast"', 'description': '"Martha’s mention of having seen the Countess represents her connection to higher social circles and dreams beyond her current situation."', 'weight': 5.0, 'source_id': 'chunk-19d72c57ae3408758b18d2568e86dc6b'}> +2024-10-30 05:54:47,351 - lightrag - INFO - _check_edge_existence:query:MATCH (a:`THE CRATCHIT FAMILY`)-[r]-(b:`TINY TIM`) RETURN COUNT(r) > 0 AS edgeExists:result:True +2024-10-30 05:54:47,485 - lightrag - INFO - get_edge:query: + MATCH (source:`THE CRATCHIT FAMILY`)-[r]-(target:`TINY TIM`) + RETURN r + :result:, ) type='DIRECTED' properties={'keywords': '"family unity, hope"', 'description': '"Tiny Tim is an integral part of the Cratchit family, embodying their hopes and joys during the Christmas festivities."', 'weight': 9.0, 'source_id': 'chunk-19d72c57ae3408758b18d2568e86dc6b'}> +2024-10-30 05:54:47,624 - lightrag - INFO - _check_edge_existence:query:MATCH (a:`BOB CRATCHIT`)-[r]-(b:`THE GATHERING`) RETURN COUNT(r) > 0 AS edgeExists:result:True +2024-10-30 05:54:47,758 - lightrag - INFO - get_edge:query: + MATCH (source:`BOB CRATCHIT`)-[r]-(target:`THE GATHERING`) + RETURN r + :result:, ) type='DIRECTED' properties={'keywords': '"family commitment, celebration"', 'description': '"Bob Cratchit leads his family in the Christmas Gathering, showcasing their love and commitment to celebrating together despite worries."', 'weight': 8.0, 'source_id': 'chunk-19d72c57ae3408758b18d2568e86dc6b'}> +2024-10-30 05:54:47,897 - lightrag - INFO - _check_edge_existence:query:MATCH (a:`THE GATHERING`)-[r]-(b:`THE SPIRIT`) RETURN COUNT(r) > 0 AS edgeExists:result:True +2024-10-30 05:54:48,032 - lightrag - INFO - get_edge:query: + MATCH (source:`THE GATHERING`)-[r]-(target:`THE SPIRIT`) + RETURN r + :result:, ) type='DIRECTED' properties={'keywords': '"holiday influence, spirit embodiment"', 'description': '"The Spirit enhances The Gathering by infusing it with joy and positivity, transforming the atmosphere into one of celebration."', 'weight': 9.0, 'source_id': 'chunk-19d72c57ae3408758b18d2568e86dc6b'}> +2024-10-30 05:54:48,173 - lightrag - INFO - _check_edge_existence:query:MATCH (a:`CHRISTMAS`)-[r]-(b:`THE LIGHTHOUSE`) RETURN COUNT(r) > 0 AS edgeExists:result:True +2024-10-30 05:54:48,306 - lightrag - INFO - get_edge:query: + MATCH (source:`CHRISTMAS`)-[r]-(target:`THE LIGHTHOUSE`) + RETURN r + :result:, ) type='DIRECTED' properties={'keywords': '"hope, celebration"', 'description': '"The Lighthouse is a site where Christmas is celebrated, symbolizing hope and warmth in a bleak environment."', 'weight': 7.0, 'source_id': 'chunk-91614df5cb74cbe5e109a338a82041e9'}> +2024-10-30 05:54:48,443 - lightrag - INFO - _check_edge_existence:query:MATCH (a:`CHRISTMAS`)-[r]-(b:`THE SHIP`) RETURN COUNT(r) > 0 AS edgeExists:result:True +2024-10-30 05:54:48,575 - lightrag - INFO - get_edge:query: + MATCH (source:`CHRISTMAS`)-[r]-(target:`THE SHIP`) + RETURN r + :result:, ) type='DIRECTED' properties={'keywords': '"unity, shared experience"', 'description': '"The Ship\'s crew celebrates Christmas together, creating a sense of unity and shared joy despite their circumstances."', 'weight': 8.0, 'source_id': 'chunk-91614df5cb74cbe5e109a338a82041e9'}> +2024-10-30 05:54:48,710 - lightrag - INFO - _check_edge_existence:query:MATCH (a:`SCROOGE`)-[r]-(b:`THE LAMPLIGHTER`) RETURN COUNT(r) > 0 AS edgeExists:result:True +2024-10-30 05:54:48,842 - lightrag - INFO - get_edge:query: + MATCH (source:`SCROOGE`)-[r]-(target:`THE LAMPLIGHTER`) + RETURN r + :result:, ) type='DIRECTED' properties={'keywords': '"contrast, positivity"', 'description': '"The Lamplighter\'s cheerful demeanor contrasts with Scrooge\'s initial outlook, highlighting the possibility of joy in life."', 'weight': 6.0, 'source_id': 'chunk-91614df5cb74cbe5e109a338a82041e9'}> +2024-10-30 05:54:48,981 - lightrag - INFO - _check_edge_existence:query:MATCH (a:`THE HUT`)-[r]-(b:`THE OLD MAN`) RETURN COUNT(r) > 0 AS edgeExists:result:True +2024-10-30 05:54:49,114 - lightrag - INFO - get_edge:query: + MATCH (source:`THE HUT`)-[r]-(target:`THE OLD MAN`) + RETURN r + :result:, ) type='DIRECTED' properties={'keywords': '"tradition, family gathering"', 'description': '"The Old Man leads the gathering in song within the Hut, showcasing the warmth of family during Christmas."', 'weight': 8.0, 'source_id': 'chunk-91614df5cb74cbe5e109a338a82041e9'}> +2024-10-30 05:54:49,252 - lightrag - INFO - _check_edge_existence:query:MATCH (a:`THE HUT`)-[r]-(b:`THE MINERS`) RETURN COUNT(r) > 0 AS edgeExists:result:True +2024-10-30 05:54:49,384 - lightrag - INFO - get_edge:query: + MATCH (source:`THE HUT`)-[r]-(target:`THE MINERS`) + RETURN r + :result:, ) type='DIRECTED' properties={'keywords': '"community, resilience"', 'description': '"The Miners find solace and community in the Hut during Christmas, emphasizing the importance of gathering during difficult times."', 'weight': 7.0, 'source_id': 'chunk-91614df5cb74cbe5e109a338a82041e9'}> +2024-10-30 05:54:49,524 - lightrag - INFO - _check_edge_existence:query:MATCH (a:`THE OFFICERS`)-[r]-(b:`THE SHIP`) RETURN COUNT(r) > 0 AS edgeExists:result:True +2024-10-30 05:54:49,655 - lightrag - INFO - get_edge:query: + MATCH (source:`THE OFFICERS`)-[r]-(target:`THE SHIP`) + RETURN r + :result:, ) type='DIRECTED' properties={'keywords': '"camaraderie, festive spirit"', 'description': '"The Officers aboard the Ship share in the collective spirit of Christmas, contributing to the festive atmosphere during their duty."', 'weight': 8.0, 'source_id': 'chunk-91614df5cb74cbe5e109a338a82041e9'}> +2024-10-30 05:54:49,790 - lightrag - INFO - _check_edge_existence:query:MATCH (a:`THE LIGHTHOUSE`)-[r]-(b:`THE WAVE`) RETURN COUNT(r) > 0 AS edgeExists:result:True +2024-10-30 05:54:49,921 - lightrag - INFO - get_edge:query: + MATCH (source:`THE LIGHTHOUSE`)-[r]-(target:`THE WAVE`) + RETURN r + :result:, ) type='DIRECTED' properties={'keywords': '"struggle, isolation"', 'description': '"The Wave\'s constant battering of the Lighthouse highlights the isolation and challenges faced by those in such remote environments."', 'weight': 7.0, 'source_id': 'chunk-91614df5cb74cbe5e109a338a82041e9'}> +2024-10-30 05:54:50,056 - lightrag - INFO - _check_edge_existence:query:MATCH (a:`STORM-BIRDS`)-[r]-(b:`THE LIGHTHOUSE`) RETURN COUNT(r) > 0 AS edgeExists:result:True +2024-10-30 05:54:50,188 - lightrag - INFO - get_edge:query: + MATCH (source:`STORM-BIRDS`)-[r]-(target:`THE LIGHTHOUSE`) + RETURN r + :result:, ) type='DIRECTED' properties={'keywords': '"wildness, nature"', 'description': '"Storm-Birds surrounding the Lighthouse reflect the wildness and unpredictability of the sea, enhancing the sense of danger and solitude."', 'weight': 6.0, 'source_id': 'chunk-91614df5cb74cbe5e109a338a82041e9'}> +2024-10-30 05:54:50,326 - lightrag - INFO - _check_edge_existence:query:MATCH (a:`SCROOGE`)-[r]-(b:`SCROOGE'S NIECE`) RETURN COUNT(r) > 0 AS edgeExists:result:True +2024-10-30 05:54:50,459 - lightrag - INFO - get_edge:query: + MATCH (source:`SCROOGE`)-[r]-(target:`SCROOGE'S NIECE`) + RETURN r + :result:, ) type='DIRECTED' properties={'keywords': '"family bonds, celebration""ideological conflict, family dynamics"', 'description': '"Scrooge\'s Niece expresses indignation towards Scrooge\'s belief that Christmas is a humbug, demonstrating her strong opinions against his views.""Scrooge\'s niece embraces the joyful atmosphere of the celebration, engaging with family and inviting good-natured fun."', 'weight': 15.0, 'source_id': 'chunk-773d0df1dd25c356f7b771d780583e09chunk-43c9bee23adfa77aa9dedd22401bba7d'}> +2024-10-30 05:54:50,600 - lightrag - INFO - _check_edge_existence:query:MATCH (a:`SCROOGE'S NEPHEW`)-[r]-(b:`SCROOGE'S NIECE`) RETURN COUNT(r) > 0 AS edgeExists:result:True +2024-10-30 05:54:50,735 - lightrag - INFO - get_edge:query: + MATCH (source:`SCROOGE'S NEPHEW`)-[r]-(target:`SCROOGE'S NIECE`) + RETURN r + :result:, ) type='DIRECTED' properties={'keywords': '"family interaction, playful rivalry""shared humor, family bonding"', 'description': '"Scrooge\'s Nephew and Scrooge\'s Niece share a humorous dynamic, both laughing and contrasting with Scrooge\'s grim outlook.""Scrooge\'s nephew and niece engage in playful banter and competition during the games, enhancing their familial bond."', 'weight': 15.0, 'source_id': 'chunk-773d0df1dd25c356f7b771d780583e09chunk-43c9bee23adfa77aa9dedd22401bba7d'}> +2024-10-30 05:54:50,875 - lightrag - INFO - _check_edge_existence:query:MATCH (a:`SCROOGE'S NIECE`)-[r]-(b:`TOPPER`) RETURN COUNT(r) > 0 AS edgeExists:result:True +2024-10-30 05:54:51,012 - lightrag - INFO - get_edge:query: + MATCH (source:`SCROOGE'S NIECE`)-[r]-(target:`TOPPER`) + RETURN r + :result:, ) type='DIRECTED' properties={'keywords': '"romantic interest, social dynamics"', 'description': '"Topper shows interest in Scrooge\'s Niece, indicating a budding romantic interest during the family gathering."', 'weight': 6.0, 'source_id': 'chunk-773d0df1dd25c356f7b771d780583e09'}> +2024-10-30 05:54:51,150 - lightrag - INFO - _check_edge_existence:query:MATCH (a:`SCROOGE'S NIECE`)-[r]-(b:`SCROOGE'S NIECE'S SISTERS`) RETURN COUNT(r) > 0 AS edgeExists:result:True +2024-10-30 05:54:51,286 - lightrag - INFO - get_edge:query: + MATCH (source:`SCROOGE'S NIECE`)-[r]-(target:`SCROOGE'S NIECE'S SISTERS`) + RETURN r + :result:, ) type='DIRECTED' properties={'keywords': '"sisterly bond, shared sentiment"', 'description': '"Scrooge\'s Niece\'s Sisters share the same lively spirit and engage in laughter, supporting her sentiments towards their uncle Scrooge."', 'weight': 8.0, 'source_id': 'chunk-773d0df1dd25c356f7b771d780583e09'}> +2024-10-30 05:54:51,420 - lightrag - INFO - _check_edge_existence:query:MATCH (a:`DINNER`)-[r]-(b:`SCROOGE'S NEPHEW`) RETURN COUNT(r) > 0 AS edgeExists:result:True +2024-10-30 05:54:51,552 - lightrag - INFO - get_edge:query: + MATCH (source:`DINNER`)-[r]-(target:`SCROOGE'S NEPHEW`) + RETURN r + :result:, ) type='DIRECTED' properties={'keywords': '"family, celebration"', 'description': '"Scrooge\'s Nephew emphasizes the pleasure of sharing Dinner with loved ones, highlighting the importance of family connections during holiday gatherings."', 'weight': 9.0, 'source_id': 'chunk-773d0df1dd25c356f7b771d780583e09'}> +2024-10-30 05:54:51,689 - lightrag - INFO - _check_edge_existence:query:MATCH (a:`SCROOGE'S NEPHEW`)-[r]-(b:`TOPPER`) RETURN COUNT(r) > 0 AS edgeExists:result:True +2024-10-30 05:54:51,822 - lightrag - INFO - get_edge:query: + MATCH (source:`SCROOGE'S NEPHEW`)-[r]-(target:`TOPPER`) + RETURN r + :result:, ) type='DIRECTED' properties={'keywords': '"social interaction, camaraderie"', 'description': '"Topper interacts with Scrooge\'s Nephew during the festivities, engaging in dialogue that enhances the light-hearted atmosphere of the gathering."', 'weight': 6.0, 'source_id': 'chunk-773d0df1dd25c356f7b771d780583e09'}> +2024-10-30 05:54:51,962 - lightrag - INFO - _check_edge_existence:query:MATCH (a:`SCROOGE`)-[r]-(b:`TOPPER`) RETURN COUNT(r) > 0 AS edgeExists:result:True +2024-10-30 05:54:52,097 - lightrag - INFO - get_edge:query: + MATCH (source:`SCROOGE`)-[r]-(target:`TOPPER`) + RETURN r + :result:, ) type='DIRECTED' properties={'keywords': '"observation, merriment"', 'description': '"Scrooge observes Topper\'s antics and expressions of joy during the games, revealing a reflection on human nature and merriment."', 'weight': 6.0, 'source_id': 'chunk-43c9bee23adfa77aa9dedd22401bba7d'}> +2024-10-30 05:54:52,233 - lightrag - INFO - _check_edge_existence:query:MATCH (a:`CHRISTMAS HOLIDAYS`)-[r]-(b:`SCROOGE`) RETURN COUNT(r) > 0 AS edgeExists:result:True +2024-10-30 05:54:52,367 - lightrag - INFO - get_edge:query: + MATCH (source:`CHRISTMAS HOLIDAYS`)-[r]-(target:`SCROOGE`) + RETURN r + :result:, ) type='DIRECTED' properties={'keywords': '"transformation, significance of time"', 'description': '"Christmas Holidays are integral to Scrooge\'s journey, representing the time of year that prompts his change and reinstates joy."', 'weight': 8.0, 'source_id': 'chunk-e7637ff18c5ded77a68cce0a87883fad'}> +2024-10-30 05:54:52,503 - lightrag - INFO - _check_edge_existence:query:MATCH (a:`IGNORANCE`)-[r]-(b:`SPIRIT`) RETURN COUNT(r) > 0 AS edgeExists:result:True +2024-10-30 05:54:52,636 - lightrag - INFO - get_edge:query: + MATCH (source:`IGNORANCE`)-[r]-(target:`SPIRIT`) + RETURN r + :result:, ) type='DIRECTED' properties={'keywords': '"social issues, awareness""social warning, awareness"', 'description': '"The Spirit introduces Ignorance to Scrooge as a representation of societal failures, urging him to acknowledge and address these issues.""The Spirit points out Ignorance, highlighting the need for awareness and responsibility toward societal issues."', 'weight': 15.0, 'source_id': 'chunk-e7637ff18c5ded77a68cce0a87883fadchunk-02baee20cc9463dbe08170a8e1043e32'}> +2024-10-30 05:54:52,775 - lightrag - INFO - _check_edge_existence:query:MATCH (a:`SPIRIT`)-[r]-(b:`WANT`) RETURN COUNT(r) > 0 AS edgeExists:result:True +2024-10-30 05:54:52,904 - lightrag - INFO - get_edge:query: + MATCH (source:`SPIRIT`)-[r]-(target:`WANT`) + RETURN r + :result:, ) type='DIRECTED' properties={'keywords': '"social issues, need for compassion""social warning, deprivation"', 'description': '"The Spirit points out Want, symbolizing the dire consequences of neglecting societal needs.""The Spirit presents Want along with Ignorance, symbolizing the plight of the less fortunate and appealing for compassion."', 'weight': 15.0, 'source_id': 'chunk-e7637ff18c5ded77a68cce0a87883fadchunk-02baee20cc9463dbe08170a8e1043e32'}> +2024-10-30 05:54:53,041 - lightrag - INFO - _check_edge_existence:query:MATCH (a:`CITY`)-[r]-(b:`SPIRIT`) RETURN COUNT(r) > 0 AS edgeExists:result:True +2024-10-30 05:54:53,171 - lightrag - INFO - get_edge:query: + MATCH (source:`CITY`)-[r]-(target:`SPIRIT`) + RETURN r + :result:, ) type='DIRECTED' properties={'keywords': '"atmospheric change, reality"', 'description': '"The Spirit’s presence affects the atmosphere of the City, showcasing the stark realities of life and death surrounding Scrooge."', 'weight': 6.0, 'source_id': 'chunk-02baee20cc9463dbe08170a8e1043e32'}> +2024-10-30 05:54:53,311 - lightrag - INFO - _check_edge_existence:query:MATCH (a:`JACOB`)-[r]-(b:`SCROOGE`) RETURN COUNT(r) > 0 AS edgeExists:result:True +2024-10-30 05:54:53,444 - lightrag - INFO - get_edge:query: + MATCH (source:`JACOB`)-[r]-(target:`SCROOGE`) + RETURN r + :result:, ) type='DIRECTED' properties={'keywords': '"reflection, past relationship"', 'description': '"Scrooge reflects on his past relationship with Jacob, influenced by feelings of guilt and loss after Jacob\'s death."', 'weight': 8.0, 'source_id': 'chunk-f1a4fbcf1ed86864b9bfd5e8dba4c683'}> +2024-10-30 05:54:53,579 - lightrag - INFO - _check_edge_existence:query:MATCH (a:`THE LOW-BROWED SHOP`)-[r]-(b:`THE TOWN`) RETURN COUNT(r) > 0 AS edgeExists:result:True +2024-10-30 05:54:53,709 - lightrag - INFO - get_edge:query: + MATCH (source:`THE LOW-BROWED SHOP`)-[r]-(target:`THE TOWN`) + RETURN r + :result:, ) type='DIRECTED' properties={'keywords': '"socioeconomic issues, decay"', 'description': '"The Low-Browed Shop exists within The Town, reflecting its degradation and the poor conditions of its inhabitants."', 'weight': 7.0, 'source_id': 'chunk-f1a4fbcf1ed86864b9bfd5e8dba4c683'}> +2024-10-30 05:54:53,850 - lightrag - INFO - _check_edge_existence:query:MATCH (a:`RED-FACED GENTLEMAN`)-[r]-(b:`SCROOGE`) RETURN COUNT(r) > 0 AS edgeExists:result:True +2024-10-30 05:54:53,983 - lightrag - INFO - get_edge:query: + MATCH (source:`RED-FACED GENTLEMAN`)-[r]-(target:`SCROOGE`) + RETURN r + :result:, ) type='DIRECTED' properties={'keywords': '"humor, communal context"', 'description': '"Scrooge observes the conversation of the Red-faced Gentleman, which offers humorous insights into communal attitudes toward death."', 'weight': 6.0, 'source_id': 'chunk-f1a4fbcf1ed86864b9bfd5e8dba4c683'}> +2024-10-30 05:54:54,121 - lightrag - INFO - _check_edge_existence:query:MATCH (a:`GENTLEMAN WITH THE EXCRESCENCE`)-[r]-(b:`RED-FACED GENTLEMAN`) RETURN COUNT(r) > 0 AS edgeExists:result:True +2024-10-30 05:54:54,261 - lightrag - INFO - get_edge:query: + MATCH (source:`GENTLEMAN WITH THE EXCRESCENCE`)-[r]-(target:`RED-FACED GENTLEMAN`) + RETURN r + :result:, ) type='DIRECTED' properties={'keywords': '"social interaction, humor"', 'description': '"Both gentlemen engage in light-hearted banter about the funeral, reflecting casual societal norms in their discussion."', 'weight': 7.0, 'source_id': 'chunk-f1a4fbcf1ed86864b9bfd5e8dba4c683'}> +2024-10-30 05:54:54,416 - lightrag - INFO - _check_edge_existence:query:MATCH (a:`SCROOGE`)-[r]-(b:`THE PHANTOM`) RETURN COUNT(r) > 0 AS edgeExists:result:True +2024-10-30 05:54:54,552 - lightrag - INFO - get_edge:query: + MATCH (source:`SCROOGE`)-[r]-(target:`THE PHANTOM`) + RETURN r + :result:, ) type='DIRECTED' properties={'keywords': '"guidance, self-reflection"', 'description': '"Scrooge interacts with the Phantom, which guides him through reflections on his life and future, emphasizing his journey of change."', 'weight': 9.0, 'source_id': 'chunk-f1a4fbcf1ed86864b9bfd5e8dba4c683'}> +2024-10-30 05:54:54,689 - lightrag - INFO - _check_edge_existence:query:MATCH (a:`THE PEOPLE`)-[r]-(b:`THE QUARTER`) RETURN COUNT(r) > 0 AS edgeExists:result:True +2024-10-30 05:54:54,820 - lightrag - INFO - get_edge:query: + MATCH (source:`THE PEOPLE`)-[r]-(target:`THE QUARTER`) + RETURN r + :result:, ) type='DIRECTED' properties={'keywords': '"socioeconomic struggle, societal neglect"', 'description': '"The People inhabit The Quarter, which is characterized by poverty, crime, and a sense of neglect."', 'weight': 9.0, 'source_id': 'chunk-f1a4fbcf1ed86864b9bfd5e8dba4c683'}> +2024-10-30 05:54:54,961 - lightrag - INFO - _check_edge_existence:query:MATCH (a:`THE LOW-BROWED SHOP`)-[r]-(b:`THE PEOPLE`) RETURN COUNT(r) > 0 AS edgeExists:result:True +2024-10-30 05:54:55,097 - lightrag - INFO - get_edge:query: + MATCH (source:`THE LOW-BROWED SHOP`)-[r]-(target:`THE PEOPLE`) + RETURN r + :result:, ) type='DIRECTED' properties={'keywords': '"desperation, commerce"', 'description': '"The Low-Browed Shop serves the needs of The People, representing the harsh realities of their lives in the quarter."', 'weight': 8.0, 'source_id': 'chunk-f1a4fbcf1ed86864b9bfd5e8dba4c683'}> +2024-10-30 05:54:55,235 - lightrag - INFO - _check_edge_existence:query:MATCH (a:`OLD SCRATCH`)-[r]-(b:`THE FUNERAL`) RETURN COUNT(r) > 0 AS edgeExists:result:True +2024-10-30 05:54:55,373 - lightrag - INFO - get_edge:query: + MATCH (source:`OLD SCRATCH`)-[r]-(target:`THE FUNERAL`) + RETURN r + :result:, ) type='DIRECTED' properties={'keywords': '"morbid humor, societal views"', 'description': '"The concept of Old Scratch is invoked in the context of discussions about The Funeral, highlighting societal attitudes towards death."', 'weight': 7.0, 'source_id': 'chunk-f1a4fbcf1ed86864b9bfd5e8dba4c683'}> +2024-10-30 05:54:55,519 - lightrag - INFO - _check_edge_existence:query:MATCH (a:`MRS. DILBER`)-[r]-(b:`OLD JOE`) RETURN COUNT(r) > 0 AS edgeExists:result:True +2024-10-30 05:54:55,650 - lightrag - INFO - get_edge:query: + MATCH (source:`MRS. DILBER`)-[r]-(target:`OLD JOE`) + RETURN r + :result:, ) type='DIRECTED' properties={'keywords': '"business interaction, appraisal"', 'description': '"Old Joe assesses the belongings of Mrs. Dilber, reinforcing his role as an appraiser of stolen goods and demonstrating a tendency to be generous towards women."', 'weight': 6.0, 'source_id': 'chunk-60fc063c79fc0d4acc91a57e79de04dc'}> +2024-10-30 05:54:55,784 - lightrag - INFO - _check_edge_existence:query:MATCH (a:`MRS. DILBER`)-[r]-(b:`THE WOMAN`) RETURN COUNT(r) > 0 AS edgeExists:result:True +2024-10-30 05:54:55,914 - lightrag - INFO - get_edge:query: + MATCH (source:`MRS. DILBER`)-[r]-(target:`THE WOMAN`) + RETURN r + :result:, ) type='DIRECTED' properties={'keywords': '"moral discussion, camaraderie"', 'description': '"Mrs. Dilber and The Woman share a conversational dynamic that touches on the moral implications of their actions, creating a camaraderie as they discuss the deceased."', 'weight': 5.0, 'source_id': 'chunk-60fc063c79fc0d4acc91a57e79de04dc'}> +2024-10-30 05:54:56,051 - lightrag - INFO - _check_edge_existence:query:MATCH (a:`OLD JOE`)-[r]-(b:`THE WOMAN`) RETURN COUNT(r) > 0 AS edgeExists:result:True +2024-10-30 05:54:56,183 - lightrag - INFO - get_edge:query: + MATCH (source:`OLD JOE`)-[r]-(target:`THE WOMAN`) + RETURN r + :result:, ) type='DIRECTED' properties={'keywords': '"business interaction, appraisal"', 'description': '"Old Joe interacts with The Woman as she encourages him to evaluate her stolen bundle, indicating a business-like relationship based on appraisal and exchange."', 'weight': 7.0, 'source_id': 'chunk-60fc063c79fc0d4acc91a57e79de04dc'}> +2024-10-30 05:54:56,321 - lightrag - INFO - _check_edge_existence:query:MATCH (a:`THE MAN IN FADED BLACK`)-[r]-(b:`THE WOMAN`) RETURN COUNT(r) > 0 AS edgeExists:result:True +2024-10-30 05:54:56,457 - lightrag - INFO - get_edge:query: + MATCH (source:`THE MAN IN FADED BLACK`)-[r]-(target:`THE WOMAN`) + RETURN r + :result:, ) type='DIRECTED' properties={'keywords': '"shared activity, community"', 'description': '"The Man in Faded Black shares his modest plunder with The Woman, building a sense of community among the characters involved."', 'weight': 5.0, 'source_id': 'chunk-60fc063c79fc0d4acc91a57e79de04dc'}> +2024-10-30 05:54:56,594 - lightrag - INFO - _check_edge_existence:query:MATCH (a:`OLD JOE`)-[r]-(b:`THE GATHERING`) RETURN COUNT(r) > 0 AS edgeExists:result:True +2024-10-30 05:54:56,725 - lightrag - INFO - get_edge:query: + MATCH (source:`OLD JOE`)-[r]-(target:`THE GATHERING`) + RETURN r + :result:, ) type='DIRECTED' properties={'keywords': '"facilitation, social dynamics"', 'description': '"Old Joe facilitates The Gathering by appraising the items brought by each character, serving as a focal point for their interactions."', 'weight': 9.0, 'source_id': 'chunk-60fc063c79fc0d4acc91a57e79de04dc'}> +2024-10-30 05:54:56,862 - lightrag - INFO - _check_edge_existence:query:MATCH (a:`SCROOGE`)-[r]-(b:`THE DECEASED MAN`) RETURN COUNT(r) > 0 AS edgeExists:result:True +2024-10-30 05:54:56,997 - lightrag - INFO - get_edge:query: + MATCH (source:`SCROOGE`)-[r]-(target:`THE DECEASED MAN`) + RETURN r + :result:, ) type='DIRECTED' properties={'keywords': '"moral reflection, consequence"', 'description': '"Scrooge reflects on the life and death of The Deceased Man, prompting introspection about his own life choices."', 'weight': 9.0, 'source_id': 'chunk-e1f29eeadc1d8ab46dc8a0bbd3c56b64'}> +2024-10-30 05:54:57,137 - lightrag - INFO - _check_edge_existence:query:MATCH (a:`JOE`)-[r]-(b:`SCROOGE`) RETURN COUNT(r) > 0 AS edgeExists:result:True +2024-10-30 05:54:57,273 - lightrag - INFO - get_edge:query: + MATCH (source:`JOE`)-[r]-(target:`SCROOGE`) + RETURN r + :result:, ) type='DIRECTED' properties={'keywords': '"perspective contrast, moral dilemma"', 'description': '"Joe\'s cynical attitude towards death and belongings contrasts with Scrooge\'s moral horror, creating a tension between their perspectives."', 'weight': 6.0, 'source_id': 'chunk-e1f29eeadc1d8ab46dc8a0bbd3c56b64'}> +2024-10-30 05:54:57,414 - lightrag - INFO - _check_edge_existence:query:MATCH (a:`DEATH`)-[r]-(b:`THE BED`) RETURN COUNT(r) > 0 AS edgeExists:result:True +2024-10-30 05:54:57,549 - lightrag - INFO - get_edge:query: + MATCH (source:`DEATH`)-[r]-(target:`THE BED`) + RETURN r + :result:, ) type='DIRECTED' properties={'keywords': '"finality, mortality"', 'description': '"Death is inherently linked to The Bed as the resting place of the deceased, symbolizing the finality of life and the legacy left behind."', 'weight': 8.0, 'source_id': 'chunk-e1f29eeadc1d8ab46dc8a0bbd3c56b64'}> +2024-10-30 05:54:57,683 - lightrag - INFO - _check_edge_existence:query:MATCH (a:`THE BUNDLE`)-[r]-(b:`THE DECEASED MAN`) RETURN COUNT(r) > 0 AS edgeExists:result:True +2024-10-30 05:54:57,816 - lightrag - INFO - get_edge:query: + MATCH (source:`THE BUNDLE`)-[r]-(target:`THE DECEASED MAN`) + RETURN r + :result:, ) type='DIRECTED' properties={'keywords': '"material legacy, value"', 'description': '"The Bundle contains the belongings that once belonged to The Deceased Man, illustrating the material value placed on his life after death."', 'weight': 7.0, 'source_id': 'chunk-e1f29eeadc1d8ab46dc8a0bbd3c56b64'}> +2024-10-30 05:54:57,956 - lightrag - INFO - _check_edge_existence:query:MATCH (a:`THE BLANKETS`)-[r]-(b:`THE CORPSE`) RETURN COUNT(r) > 0 AS edgeExists:result:True +2024-10-30 05:54:58,088 - lightrag - INFO - get_edge:query: + MATCH (source:`THE BLANKETS`)-[r]-(target:`THE CORPSE`) + RETURN r + :result:, ) type='DIRECTED' properties={'keywords': '"care, human connection"', 'description': '"The Blankets are directly associated with The Corpse, indicating the human connections and care traditionally shown to the dead."', 'weight': 8.0, 'source_id': 'chunk-e1f29eeadc1d8ab46dc8a0bbd3c56b64'}> +2024-10-30 05:54:58,226 - lightrag - INFO - _check_edge_existence:query:MATCH (a:`THE BLANKET`)-[r]-(b:`THE OIL`) RETURN COUNT(r) > 0 AS edgeExists:result:True +2024-10-30 05:54:58,357 - lightrag - INFO - get_edge:query: + MATCH (source:`THE BLANKET`)-[r]-(target:`THE OIL`) + RETURN r + :result:, ) type='DIRECTED' properties={'keywords': '"materialism, carelessness"', 'description': '"The Oil’s presence suggests a practical yet insensitive attitude towards the care of The Blanket and the deceased."', 'weight': 6.0, 'source_id': 'chunk-e1f29eeadc1d8ab46dc8a0bbd3c56b64'}> +2024-10-30 05:54:58,493 - lightrag - INFO - _check_edge_existence:query:MATCH (a:`SCROOGE`)-[r]-(b:`THE CORPSE`) RETURN COUNT(r) > 0 AS edgeExists:result:True +2024-10-30 05:54:58,627 - lightrag - INFO - get_edge:query: + MATCH (source:`SCROOGE`)-[r]-(target:`THE CORPSE`) + RETURN r + :result:, ) type='DIRECTED' properties={'keywords': '"introspection, life choices"', 'description': '"Scrooge’s horror upon seeing The Corpse prompts deep reflection on his own life choices and morality."', 'weight': 9.0, 'source_id': 'chunk-e1f29eeadc1d8ab46dc8a0bbd3c56b64'}> +2024-10-30 05:54:58,764 - lightrag - INFO - _check_edge_existence:query:MATCH (a:`BOB CRATCHIT`)-[r]-(b:`CAROLINE`) RETURN COUNT(r) > 0 AS edgeExists:result:True +2024-10-30 05:54:58,897 - lightrag - INFO - get_edge:query: + MATCH (source:`BOB CRATCHIT`)-[r]-(target:`CAROLINE`) + RETURN r + :result:, ) type='DIRECTED' properties={'keywords': '"hope, financial strain"', 'description': '"Caroline expresses hope combined with anxiety regarding their financial situation, affecting her relationship with Bob Cratchit."', 'weight': 7.0, 'source_id': 'chunk-83ac129dc9b56f84c46760d153d68e93'}> +2024-10-30 05:54:59,031 - lightrag - INFO - _check_edge_existence:query:MATCH (a:`SPIRIT`)-[r]-(b:`THE EVENT OF DEATH`) RETURN COUNT(r) > 0 AS edgeExists:result:True +2024-10-30 05:54:59,166 - lightrag - INFO - get_edge:query: + MATCH (source:`SPIRIT`)-[r]-(target:`THE EVENT OF DEATH`) + RETURN r + :result:, ) type='DIRECTED' properties={'keywords': '"emotional impact, mortality"', 'description': '"The Spirit highlights the emotional repercussions of The Event of Death, demonstrating the profound effects on those left behind."', 'weight': 8.0, 'source_id': 'chunk-83ac129dc9b56f84c46760d153d68e93'}> +2024-10-30 05:54:59,306 - lightrag - INFO - _check_edge_existence:query:MATCH (a:`SCROOGE`)-[r]-(b:`THE CRATCHIT HOUSE`) RETURN COUNT(r) > 0 AS edgeExists:result:True +2024-10-30 05:54:59,439 - lightrag - INFO - get_edge:query: + MATCH (source:`SCROOGE`)-[r]-(target:`THE CRATCHIT HOUSE`) + RETURN r + :result:, ) type='DIRECTED' properties={'keywords': '"compassion, familial connection"', 'description': '"Scrooge\'s reflections in The Cratchit House illustrate his evolving understanding of compassion and connection to others."', 'weight': 9.0, 'source_id': 'chunk-83ac129dc9b56f84c46760d153d68e93'}> +2024-10-30 05:54:59,574 - lightrag - INFO - _check_edge_existence:query:MATCH (a:`THE HUSBAND`)-[r]-(b:`THE MOTHER`) RETURN COUNT(r) > 0 AS edgeExists:result:True +2024-10-30 05:54:59,709 - lightrag - INFO - get_edge:query: + MATCH (source:`THE HUSBAND`)-[r]-(target:`THE MOTHER`) + RETURN r + :result:, ) type='DIRECTED' properties={'keywords': '"marital dynamics, emotional strain"', 'description': '"The Mother expresses anxiety and eagerness as she interacts with her husband, showcasing the emotional strain caused by uncertainty."', 'weight': 8.0, 'source_id': 'chunk-83ac129dc9b56f84c46760d153d68e93'}> +2024-10-30 05:54:59,845 - lightrag - INFO - _check_edge_existence:query:MATCH (a:`CAROLINE`)-[r]-(b:`THE HUSBAND`) RETURN COUNT(r) > 0 AS edgeExists:result:True +2024-10-30 05:54:59,980 - lightrag - INFO - get_edge:query: + MATCH (source:`CAROLINE`)-[r]-(target:`THE HUSBAND`) + RETURN r + :result:, ) type='DIRECTED' properties={'keywords': '"communication, emotional burden"', 'description': '"The Husband and Caroline\'s conversation illustrates the tension between optimism and the reality of their situation after receiving distressing news."', 'weight': 7.0, 'source_id': 'chunk-83ac129dc9b56f84c46760d153d68e93'}> +2024-10-30 05:55:00,117 - lightrag - INFO - _check_edge_existence:query:MATCH (a:`PETER`)-[r]-(b:`THE CHILDREN`) RETURN COUNT(r) > 0 AS edgeExists:result:True +2024-10-30 05:55:00,251 - lightrag - INFO - get_edge:query: + MATCH (source:`PETER`)-[r]-(target:`THE CHILDREN`) + RETURN r + :result:, ) type='DIRECTED' properties={'keywords': '"leadership, sibling dynamics"', 'description': '"Peter acts as a stabilizing force among The Children, leading them in moments of uncertainty and representing familial responsibility."', 'weight': 6.0, 'source_id': 'chunk-83ac129dc9b56f84c46760d153d68e93'}> +2024-10-30 05:55:00,386 - lightrag - INFO - _check_edge_existence:query:MATCH (a:`THE CRATCHIT HOUSE`)-[r]-(b:`THE DEBT`) RETURN COUNT(r) > 0 AS edgeExists:result:True +2024-10-30 05:55:00,526 - lightrag - INFO - get_edge:query: + MATCH (source:`THE CRATCHIT HOUSE`)-[r]-(target:`THE DEBT`) + RETURN r + :result:, ) type='DIRECTED' properties={'keywords': '"financial burden, atmosphere"', 'description': '"The Debt looms over The Cratchit House, contributing to the emotional atmosphere and fears of its inhabitants during the story."', 'weight': 9.0, 'source_id': 'chunk-83ac129dc9b56f84c46760d153d68e93'}> +2024-10-30 05:55:00,660 - lightrag - INFO - _check_edge_existence:query:MATCH (a:`CAROLINE`)-[r]-(b:`HOPE`) RETURN COUNT(r) > 0 AS edgeExists:result:True +2024-10-30 05:55:00,791 - lightrag - INFO - get_edge:query: + MATCH (source:`CAROLINE`)-[r]-(target:`HOPE`) + RETURN r + :result:, ) type='DIRECTED' properties={'keywords': '"emotional resilience, motivation"', 'description': '"Hope influences Caroline\'s reactions and actions throughout the story, serving as both a motivator and a source of inner conflict."', 'weight': 8.0, 'source_id': 'chunk-83ac129dc9b56f84c46760d153d68e93'}> +2024-10-30 05:55:00,930 - lightrag - INFO - _check_edge_existence:query:MATCH (a:`BOB CRATCHIT`)-[r]-(b:`MR. SCROOGE'S NEPHEW`) RETURN COUNT(r) > 0 AS edgeExists:result:True +2024-10-30 05:55:01,064 - lightrag - INFO - get_edge:query: + MATCH (source:`BOB CRATCHIT`)-[r]-(target:`MR. SCROOGE'S NEPHEW`) + RETURN r + :result:, ) type='DIRECTED' properties={'keywords': '"kindness, support"', 'description': '"Bob Cratchit shares a positive interaction with Mr. Scrooge\'s Nephew, who expresses kindness and concern for his family."', 'weight': 7.0, 'source_id': 'chunk-1d4b58de5429cd1261370c231c8673e8'}> +2024-10-30 05:55:01,201 - lightrag - INFO - _check_edge_existence:query:MATCH (a:`BOB CRATCHIT`)-[r]-(b:`PETER`) RETURN COUNT(r) > 0 AS edgeExists:result:True +2024-10-30 05:55:01,334 - lightrag - INFO - get_edge:query: + MATCH (source:`BOB CRATCHIT`)-[r]-(target:`PETER`) + RETURN r + :result:, ) type='DIRECTED' properties={'keywords': '"family discussions, support"', 'description': '"Peter interacts with Bob Cratchit, showing the dynamics of a supportive family unit while discussing aspirations."', 'weight': 6.0, 'source_id': 'chunk-1d4b58de5429cd1261370c231c8673e8'}> +2024-10-30 05:55:01,471 - lightrag - INFO - _check_edge_existence:query:MATCH (a:`CHRISTMAS`)-[r]-(b:`TINY TIM`) RETURN COUNT(r) > 0 AS edgeExists:result:True +2024-10-30 05:55:01,604 - lightrag - INFO - get_edge:query: + MATCH (source:`CHRISTMAS`)-[r]-(target:`TINY TIM`) + RETURN r + :result:, ) type='DIRECTED' properties={'keywords': '"innocence, holiday spirit"', 'description': '"Tiny Tim represents the spirit of Christmas, being cherished by family during this festive occasion."', 'weight': 9.0, 'source_id': 'chunk-1d4b58de5429cd1261370c231c8673e8'}> +2024-10-30 05:55:01,739 - lightrag - INFO - _check_edge_existence:query:MATCH (a:`SCROOGE`)-[r]-(b:`THE GHOST OF CHRISTMAS YET TO COME`) RETURN COUNT(r) > 0 AS edgeExists:result:True +2024-10-30 05:55:01,872 - lightrag - INFO - get_edge:query: + MATCH (source:`SCROOGE`)-[r]-(target:`THE GHOST OF CHRISTMAS YET TO COME`) + RETURN r + :result:, ) type='DIRECTED' properties={'keywords': '"consequences, change""guidance, self-confrontation"', 'description': '"The Ghost guides Scrooge to confront his potential future that threatens his existence.""The Ghost is critical in revealing the consequences of Scrooge\'s life choices, pushing for change."', 'weight': 19.0, 'source_id': 'chunk-91572b3cd42786ba4cb2f180ca25cbf4'}> +2024-10-30 05:55:02,012 - lightrag - INFO - _check_edge_existence:query:MATCH (a:`GRAVE`)-[r]-(b:`SCROOGE`) RETURN COUNT(r) > 0 AS edgeExists:result:True +2024-10-30 05:55:02,145 - lightrag - INFO - get_edge:query: + MATCH (source:`GRAVE`)-[r]-(target:`SCROOGE`) + RETURN r + :result:, ) type='DIRECTED' properties={'keywords': '"mortality, reflection"', 'description': '"Scrooge is confronted with his own grave, symbolizing the ultimate outcome of his current lifestyle and actions."', 'weight': 10.0, 'source_id': 'chunk-91572b3cd42786ba4cb2f180ca25cbf4'}> +2024-10-30 05:55:02,279 - lightrag - INFO - _check_edge_existence:query:MATCH (a:`CHRISTMAS DAY`)-[r]-(b:`SCROOGE`) RETURN COUNT(r) > 0 AS edgeExists:result:True +2024-10-30 05:55:02,414 - lightrag - INFO - get_edge:query: + MATCH (source:`CHRISTMAS DAY`)-[r]-(target:`SCROOGE`) + RETURN r + :result:, ) type='DIRECTED' properties={'keywords': '"seasonal significance, renewal"', 'description': '"Scrooge\'s change in attitude and actions occur on Christmas Day, making it a pivotal event in his story."', 'weight': 9.0, 'source_id': 'chunk-90b95db5c53e4364a6bee36b7aa4d70f'}> +2024-10-30 05:55:02,554 - lightrag - INFO - _check_edge_existence:query:MATCH (a:`BOB CRATCHIT`)-[r]-(b:`THE POULTERER'S`) RETURN COUNT(r) > 0 AS edgeExists:result:True +2024-10-30 05:55:02,686 - lightrag - INFO - get_edge:query: + MATCH (source:`BOB CRATCHIT`)-[r]-(target:`THE POULTERER'S`) + RETURN r + :result:, ) type='DIRECTED' properties={'keywords': '"commerce, generosity"', 'description': '"The Poulterer\'s shop is where Scrooge instructs the boy to buy a turkey for the Cratchit family, linking commerce to kindness."', 'weight': 6.0, 'source_id': 'chunk-90b95db5c53e4364a6bee36b7aa4d70f'}> +2024-10-30 05:55:02,826 - lightrag - INFO - _check_edge_existence:query:MATCH (a:`SCROOGE`)-[r]-(b:`THE GHOST OF CHRISTMAS PRESENT`) RETURN COUNT(r) > 0 AS edgeExists:result:True +2024-10-30 05:55:02,957 - lightrag - INFO - get_edge:query: + MATCH (source:`SCROOGE`)-[r]-(target:`THE GHOST OF CHRISTMAS PRESENT`) + RETURN r + :result:, ) type='DIRECTED' properties={'keywords': '"awareness, joy""supernatural guidance, social impact""transformation, guidance"', 'description': '"The Ghost of Christmas Present exposes Scrooge to the joy and generosity he has been missing.""The Ghost of Christmas Present observes Scrooge\'s transformation and emotional engagement with his memories of Christmas.""The Ghost of Christmas Present shows Scrooge the joy and importance of kindness during Christmas, impacting his perspective on social issues."', 'weight': 26.0, 'source_id': 'chunk-90b95db5c53e4364a6bee36b7aa4d70fchunk-43c9bee23adfa77aa9dedd22401bba7dchunk-b0f459f5af1c3a5e0b92cbe4ee48b77b'}> +2024-10-30 05:55:03,094 - lightrag - INFO - _check_edge_existence:query:MATCH (a:`SCROOGE`)-[r]-(b:`THE BOY`) RETURN COUNT(r) > 0 AS edgeExists:result:True +2024-10-30 05:55:03,229 - lightrag - INFO - get_edge:query: + MATCH (source:`SCROOGE`)-[r]-(target:`THE BOY`) + RETURN r + :result:, ) type='DIRECTED' properties={'keywords': '"generosity, kindness"', 'description': '"Scrooge interacts with The Boy to deliver the turkey, showing a newfound generosity and connection to others."', 'weight': 8.0, 'source_id': 'chunk-8f738cb25d60a7dab782162d9d0a25ed'}> +2024-10-30 05:55:03,368 - lightrag - INFO - _check_edge_existence:query:MATCH (a:`BOB CRATCHIT`)-[r]-(b:`THE CHRISTMAS DINNER`) RETURN COUNT(r) > 0 AS edgeExists:result:True +2024-10-30 05:55:03,502 - lightrag - INFO - get_edge:query: + MATCH (source:`BOB CRATCHIT`)-[r]-(target:`THE CHRISTMAS DINNER`) + RETURN r + :result:, ) type='DIRECTED' properties={'keywords': '"family, celebration"', 'description': '"The Christmas Dinner represents the Cratchit family\'s celebration, with Bob Cratchit at the center of this warm gathering."', 'weight': 8.0, 'source_id': 'chunk-90b95db5c53e4364a6bee36b7aa4d70f'}> +2024-10-30 05:55:03,635 - lightrag - INFO - _check_edge_existence:query:MATCH (a:`SCROOGE`)-[r]-(b:`THE OLD GENTLEMAN`) RETURN COUNT(r) > 0 AS edgeExists:result:True +2024-10-30 05:55:03,767 - lightrag - INFO - get_edge:query: + MATCH (source:`SCROOGE`)-[r]-(target:`THE OLD GENTLEMAN`) + RETURN r + :result:, ) type='DIRECTED' properties={'keywords': '"kindness, transformation"', 'description': '"Scrooge shows kindness and generosity to The Old Gentleman, marking a significant change in his character and relationships."', 'weight': 9.0, 'source_id': 'chunk-8f738cb25d60a7dab782162d9d0a25ed'}> +2024-10-30 05:55:03,904 - lightrag - INFO - _check_edge_existence:query:MATCH (a:`BOB CRATCHIT`)-[r]-(b:`THE FAMILY`) RETURN COUNT(r) > 0 AS edgeExists:result:True +2024-10-30 05:55:04,037 - lightrag - INFO - get_edge:query: + MATCH (source:`BOB CRATCHIT`)-[r]-(target:`THE FAMILY`) + RETURN r + :result:, ) type='DIRECTED' properties={'keywords': '"family, responsibility"', 'description': '"Bob Cratchit is a central figure in The Family, demonstrating love and responsibility towards his children during Christmas."', 'weight': 8.0, 'source_id': 'chunk-94bea83e7153fc2064aa382b494936a1'}> +2024-10-30 05:55:04,173 - lightrag - INFO - _check_edge_existence:query:MATCH (a:`BOB CRATCHIT`)-[r]-(b:`THE TANK`) RETURN COUNT(r) > 0 AS edgeExists:result:True +2024-10-30 05:55:04,307 - lightrag - INFO - get_edge:query: + MATCH (source:`BOB CRATCHIT`)-[r]-(target:`THE TANK`) + RETURN r + :result:, ) type='DIRECTED' properties={'keywords': '"workplace, struggle"', 'description': '"Bob\'s working conditions in The Tank under Scrooge reflect the challenges he faces as a struggling employee supporting his family."', 'weight': 7.0, 'source_id': 'chunk-94bea83e7153fc2064aa382b494936a1'}> +2024-10-30 05:55:04,444 - lightrag - INFO - _check_edge_existence:query:MATCH (a:`SCROOGE`)-[r]-(b:`SMOKING BISHOP`) RETURN COUNT(r) > 0 AS edgeExists:result:True +2024-10-30 05:55:04,578 - lightrag - INFO - get_edge:query: + MATCH (source:`SCROOGE`)-[r]-(target:`SMOKING BISHOP`) + RETURN r + :result:, ) type='DIRECTED' properties={'keywords': '"celebration, warmth"', 'description': '"Scrooge and Bob\'s plans to enjoy Smoking Bishop together symbolize the welcoming of joy and warmth during the Christmas season."', 'weight': 9.0, 'source_id': 'chunk-94bea83e7153fc2064aa382b494936a1'}> +2024-10-30 05:55:04,715 - lightrag - INFO - _check_edge_existence:query:MATCH (a:`PROJECT GUTENBERG`)-[r]-(b:`THE FOUNDATION`) RETURN COUNT(r) > 0 AS edgeExists:result:True +2024-10-30 05:55:04,847 - lightrag - INFO - get_edge:query: + MATCH (source:`PROJECT GUTENBERG`)-[r]-(target:`THE FOUNDATION`) + RETURN r + :result:, ) type='DIRECTED' properties={'keywords': '"organizational governance, copyright management"', 'description': '"Project Gutenberg is operated and managed by The Foundation, which governs its copyright and licensing aspects."', 'weight': 9.0, 'source_id': 'chunk-194cd9680f4967f48bea89678f7ece21'}> +2024-10-30 05:55:04,982 - lightrag - INFO - _check_edge_existence:query:MATCH (a:`GENERAL TERMS OF USE`)-[r]-(b:`PROJECT GUTENBERG`) RETURN COUNT(r) > 0 AS edgeExists:result:True +2024-10-30 05:55:05,116 - lightrag - INFO - get_edge:query: + MATCH (source:`GENERAL TERMS OF USE`)-[r]-(target:`PROJECT GUTENBERG`) + RETURN r + :result:, ) type='DIRECTED' properties={'keywords': '"regulatory framework, operational guidelines"', 'description': '"Project Gutenberg operates under specific General Terms of Use that govern the distribution and utilization of its electronic works."', 'weight': 7.0, 'source_id': 'chunk-194cd9680f4967f48bea89678f7ece21'}> +2024-10-30 05:55:05,255 - lightrag - INFO - _check_edge_existence:query:MATCH (a:`PROJECT GUTENBERG`)-[r]-(b:`TRANSCRIBER'S NOTE`) RETURN COUNT(r) > 0 AS edgeExists:result:True +2024-10-30 05:55:05,392 - lightrag - INFO - get_edge:query: + MATCH (source:`PROJECT GUTENBERG`)-[r]-(target:`TRANSCRIBER'S NOTE`) + RETURN r + :result:, ) type='DIRECTED' properties={'keywords': '"contextual enhancement, editorial contribution"', 'description': '"The transcriber\'s note provides additional context about the eBook created and distributed by Project Gutenberg."', 'weight': 6.0, 'source_id': 'chunk-194cd9680f4967f48bea89678f7ece21'}> +2024-10-30 05:55:05,527 - lightrag - INFO - _check_edge_existence:query:MATCH (a:`THE FOUNDATION`)-[r]-(b:`UNITED STATES COPYRIGHT`) RETURN COUNT(r) > 0 AS edgeExists:result:True +2024-10-30 05:55:05,659 - lightrag - INFO - get_edge:query: + MATCH (source:`THE FOUNDATION`)-[r]-(target:`UNITED STATES COPYRIGHT`) + RETURN r + :result:, ) type='DIRECTED' properties={'keywords': '"legal compliance, governance"', 'description': '"The Foundation operates within the framework of United States copyright laws, which govern its activities and permissions."', 'weight': 8.0, 'source_id': 'chunk-194cd9680f4967f48bea89678f7ece21'}> +2024-10-30 05:55:05,794 - lightrag - INFO - _check_edge_existence:query:MATCH (a:`ELECTRONIC WORKS`)-[r]-(b:`PROJECT GUTENBERG`) RETURN COUNT(r) > 0 AS edgeExists:result:True +2024-10-30 05:55:05,926 - lightrag - INFO - get_edge:query: + MATCH (source:`ELECTRONIC WORKS`)-[r]-(target:`PROJECT GUTENBERG`) + RETURN r + :result:, ) type='DIRECTED' properties={'keywords': '"digital access, literary promotion"', 'description': '"Project Gutenberg is dedicated to the distribution of electronic works, which are core to its mission."', 'weight': 10.0, 'source_id': 'chunk-194cd9680f4967f48bea89678f7ece21'}> +2024-10-30 05:55:06,064 - lightrag - INFO - _check_edge_existence:query:MATCH (a:`COPYRIGHT ROYALTIES`)-[r]-(b:`PROJECT GUTENBERG`) RETURN COUNT(r) > 0 AS edgeExists:result:True +2024-10-30 05:55:06,198 - lightrag - INFO - get_edge:query: + MATCH (source:`COPYRIGHT ROYALTIES`)-[r]-(target:`PROJECT GUTENBERG`) + RETURN r + :result:, ) type='DIRECTED' properties={'keywords': '"copyright policy, free access"', 'description': '"Project Gutenberg states that works not protected by U.S. copyright can be distributed without paying copyright royalties."', 'weight': 9.0, 'source_id': 'chunk-194cd9680f4967f48bea89678f7ece21'}> +2024-10-30 05:55:06,336 - lightrag - INFO - _check_edge_existence:query:MATCH (a:`GENERAL TERMS OF USE`)-[r]-(b:`TRADEMARK LICENSE`) RETURN COUNT(r) > 0 AS edgeExists:result:True +2024-10-30 05:55:06,475 - lightrag - INFO - get_edge:query: + MATCH (source:`GENERAL TERMS OF USE`)-[r]-(target:`TRADEMARK LICENSE`) + RETURN r + :result:, ) type='DIRECTED' properties={'keywords': '"operational policy, trademark protection"', 'description': '"The General Terms of Use outlines the conditions that must be adhered to regarding the use of the Project Gutenberg trademark."', 'weight': 7.0, 'source_id': 'chunk-194cd9680f4967f48bea89678f7ece21'}> +2024-10-30 05:55:06,618 - lightrag - INFO - _check_edge_existence:query:MATCH (a:`PROJECT GUTENBERG LITERARY ARCHIVE FOUNDATION`)-[r]-(b:`PROJECT GUTENBERG`) RETURN COUNT(r) > 0 AS edgeExists:result:True +2024-10-30 05:55:06,751 - lightrag - INFO - get_edge:query: + MATCH (source:`PROJECT GUTENBERG LITERARY ARCHIVE FOUNDATION`)-[r]-(target:`PROJECT GUTENBERG`) + RETURN r + :result:, ) type='DIRECTED' properties={'keywords': '"management, oversight"', 'description': '"The Project Gutenberg Literary Archive Foundation is responsible for managing the trademark of Project Gutenberg and ensuring compliance with its licensing terms."', 'weight': 8.0, 'source_id': 'chunk-af4ae173c561e4594c5aea96198cce9d'}> +2024-10-30 05:55:06,896 - lightrag - INFO - _check_edge_existence:query:MATCH (a:`PROJECT GUTENBERG`)-[r]-(b:`U.S. COPYRIGHT LAW`) RETURN COUNT(r) > 0 AS edgeExists:result:True +2024-10-30 05:55:07,033 - lightrag - INFO - get_edge:query: + MATCH (source:`PROJECT GUTENBERG`)-[r]-(target:`U.S. COPYRIGHT LAW`) + RETURN r + :result:, ) type='DIRECTED' properties={'keywords': '"legal compliance, copyright influence""legal compliance, operational limitations"', 'description': '"Project Gutenberg operates within the parameters of U.S. Copyright Law to ensure that its activities align with legal standards.""Project Gutenberg\'s operations are significantly influenced by U.S. Copyright Law, which dictates how works can be shared and accessed."', 'weight': 16.0, 'source_id': 'chunk-af4ae173c561e4594c5aea96198cce9dchunk-c51b3dc560b408cce12cdfe5c9c94f57'}> +2024-10-30 05:55:07,172 - lightrag - INFO - _check_edge_existence:query:MATCH (a:`EBOOK`)-[r]-(b:`PROJECT GUTENBERG`) RETURN COUNT(r) > 0 AS edgeExists:result:True +2024-10-30 05:55:07,306 - lightrag - INFO - get_edge:query: + MATCH (source:`EBOOK`)-[r]-(target:`PROJECT GUTENBERG`) + RETURN r + :result:, ) type='DIRECTED' properties={'keywords': '"digital library, access"', 'description': '"Project Gutenberg provides access to eBooks that follow specific terms of distribution as established in its license."', 'weight': 9.0, 'source_id': 'chunk-af4ae173c561e4594c5aea96198cce9d'}> +2024-10-30 05:55:07,442 - lightrag - INFO - _check_edge_existence:query:MATCH (a:`PROJECT GUTENBERG`)-[r]-(b:`UNITED STATES`) RETURN COUNT(r) > 0 AS edgeExists:result:True +2024-10-30 05:55:07,576 - lightrag - INFO - get_edge:query: + MATCH (source:`PROJECT GUTENBERG`)-[r]-(target:`UNITED STATES`) + RETURN r + :result:, ) type='DIRECTED' properties={'keywords': '"legal framework, copyright law"', 'description': '"Project Gutenberg operates within the legal framework of the United States, influencing its copyright policies and user access."', 'weight': 8.0, 'source_id': 'chunk-194cd9680f4967f48bea89678f7ece21'}> +2024-10-30 05:55:07,714 - lightrag - INFO - _check_edge_existence:query:MATCH (a:`PROJECT GUTENBERG LITERARY ARCHIVE FOUNDATION`)-[r]-(b:`ROYALTY PAYMENTS`) RETURN COUNT(r) > 0 AS edgeExists:result:True +2024-10-30 05:55:07,851 - lightrag - INFO - get_edge:query: + MATCH (source:`PROJECT GUTENBERG LITERARY ARCHIVE FOUNDATION`)-[r]-(target:`ROYALTY PAYMENTS`) + RETURN r + :result:, ) type='DIRECTED' properties={'keywords': '"financial management, trademark"', 'description': '"The Project Gutenberg Literary Archive Foundation oversees the management and collection of Royalty Payments for the use of their trademark."', 'weight': 7.0, 'source_id': 'chunk-af4ae173c561e4594c5aea96198cce9d'}> +2024-10-30 05:55:07,985 - lightrag - INFO - _check_edge_existence:query:MATCH (a:`COPYRIGHT HOLDER`)-[r]-(b:`PROJECT GUTENBERG`) RETURN COUNT(r) > 0 AS edgeExists:result:True +2024-10-30 05:55:08,120 - lightrag - INFO - get_edge:query: + MATCH (source:`COPYRIGHT HOLDER`)-[r]-(target:`PROJECT GUTENBERG`) + RETURN r + :result:, ) type='DIRECTED' properties={'keywords': '"permission, rights management"', 'description': '"Copyright Holders have the authority to grant permission for works posted on Project Gutenberg, influencing availability and distribution."', 'weight': 8.0, 'source_id': 'chunk-af4ae173c561e4594c5aea96198cce9d'}> +2024-10-30 05:55:08,257 - lightrag - INFO - _check_edge_existence:query:MATCH (a:`DISTRIBUTION TERMS`)-[r]-(b:`PARAGRAPHS 1.E.1 THROUGH 1.E.9`) RETURN COUNT(r) > 0 AS edgeExists:result:True +2024-10-30 05:55:08,391 - lightrag - INFO - get_edge:query: + MATCH (source:`DISTRIBUTION TERMS`)-[r]-(target:`PARAGRAPHS 1.E.1 THROUGH 1.E.9`) + RETURN r + :result:, ) type='DIRECTED' properties={'keywords': '"guidelines, usage conditions"', 'description': '"Paragraphs 1.E.1 through 1.E.9 specify the Distribution Terms that govern how Project Gutenberg\'s works can be used and shared."', 'weight': 9.0, 'source_id': 'chunk-af4ae173c561e4594c5aea96198cce9d'}> +2024-10-30 05:55:08,533 - lightrag - INFO - _check_edge_existence:query:MATCH (a:`PROJECT GUTENBERG`)-[r]-(b:`VOLUNTEERS`) RETURN COUNT(r) > 0 AS edgeExists:result:True +2024-10-30 05:55:08,672 - lightrag - INFO - get_edge:query: + MATCH (source:`PROJECT GUTENBERG`)-[r]-(target:`VOLUNTEERS`) + RETURN r + :result:, ) type='DIRECTED' properties={'keywords': '"volunteer contributions, organizational structure"', 'description': '"Volunteers are essential to the mission of Project Gutenberg, contributing significantly to the maintenance and distribution of the collection."', 'weight': 9.0, 'source_id': 'chunk-c51b3dc560b408cce12cdfe5c9c94f57'}> +2024-10-30 05:55:08,811 - lightrag - INFO - _check_edge_existence:query:MATCH (a:`MISSISSIPPI`)-[r]-(b:`PROJECT GUTENBERG LITERARY ARCHIVE FOUNDATION`) RETURN COUNT(r) > 0 AS edgeExists:result:True +2024-10-30 05:55:08,944 - lightrag - INFO - get_edge:query: + MATCH (source:`MISSISSIPPI`)-[r]-(target:`PROJECT GUTENBERG LITERARY ARCHIVE FOUNDATION`) + RETURN r + :result:, ) type='DIRECTED' properties={'keywords': '"legal framework, organizational base""legal identity, location"', 'description': '"The Foundation is organized under the laws of Mississippi, establishing its legal framework.""The Project Gutenberg Literary Archive Foundation is organized under the laws of Mississippi, linking its operations to the state."', 'weight': 13.0, 'source_id': 'chunk-c51b3dc560b408cce12cdfe5c9c94f57chunk-85f77f5e3a9aba01133555a2d20e2fd8'}> +2024-10-30 05:55:09,078 - lightrag - INFO - _check_edge_existence:query:MATCH (a:`PROJECT GUTENBERG LITERARY ARCHIVE FOUNDATION`)-[r]-(b:`SALT LAKE CITY`) RETURN COUNT(r) > 0 AS edgeExists:result:True +2024-10-30 05:55:09,212 - lightrag - INFO - get_edge:query: + MATCH (source:`PROJECT GUTENBERG LITERARY ARCHIVE FOUNDATION`)-[r]-(target:`SALT LAKE CITY`) + RETURN r + :result:, ) type='DIRECTED' properties={'keywords': '"operational base, location""organizational presence, location"', 'description': '"The Foundation has its business office in Salt Lake City, establishing a geographic link to its operations.""The Project Gutenberg Literary Archive Foundation has its business office located in Salt Lake City, establishing a physical presence there."', 'weight': 15.0, 'source_id': 'chunk-c51b3dc560b408cce12cdfe5c9c94f57chunk-85f77f5e3a9aba01133555a2d20e2fd8'}> +2024-10-30 05:55:09,349 - lightrag - INFO - _check_edge_existence:query:MATCH (a:`DEFECTS`)-[r]-(b:`PROJECT GUTENBERG`) RETURN COUNT(r) > 0 AS edgeExists:result:True +2024-10-30 05:55:09,482 - lightrag - INFO - get_edge:query: + MATCH (source:`DEFECTS`)-[r]-(target:`PROJECT GUTENBERG`) + RETURN r + :result:, ) type='DIRECTED' properties={'keywords': '"quality assurance, operational challenges"', 'description': '"The existence of Defects poses challenges to Project Gutenberg\'s integrity and reliability as it seeks to provide quality electronic works."', 'weight': 6.0, 'source_id': 'chunk-c51b3dc560b408cce12cdfe5c9c94f57'}> +2024-10-30 05:55:09,617 - lightrag - INFO - _check_edge_existence:query:MATCH (a:`LEGAL FEES`)-[r]-(b:`VOLUNTEERS`) RETURN COUNT(r) > 0 AS edgeExists:result:True +2024-10-30 05:55:09,751 - lightrag - INFO - get_edge:query: + MATCH (source:`LEGAL FEES`)-[r]-(target:`VOLUNTEERS`) + RETURN r + :result:, ) type='DIRECTED' properties={'keywords': '"legal implications, volunteer risks"', 'description': '"Volunteers may incur Legal Fees if involved in litigation regarding the distribution of Project Gutenberg works or related matters."', 'weight': 5.0, 'source_id': 'chunk-c51b3dc560b408cce12cdfe5c9c94f57'}> +2024-10-30 05:55:09,895 - lightrag - INFO - _check_edge_existence:query:MATCH (a:`CONTRIBUTIONS`)-[r]-(b:`PROJECT GUTENBERG LITERARY ARCHIVE FOUNDATION`) RETURN COUNT(r) > 0 AS edgeExists:result:True +2024-10-30 05:55:10,029 - lightrag - INFO - get_edge:query: + MATCH (source:`CONTRIBUTIONS`)-[r]-(target:`PROJECT GUTENBERG LITERARY ARCHIVE FOUNDATION`) + RETURN r + :result:, ) type='DIRECTED' properties={'keywords': '"funding, operational sustainability"', 'description': '"Contributions are essential for the operational viability of the Foundation, directly supporting its mission."', 'weight': 9.0, 'source_id': 'chunk-85f77f5e3a9aba01133555a2d20e2fd8'}> +2024-10-30 05:55:10,171 - lightrag - INFO - _check_edge_existence:query:MATCH (a:`PROJECT GUTENBERG LITERARY ARCHIVE FOUNDATION`)-[r]-(b:`U.S. INTERNAL REVENUE SERVICE`) RETURN COUNT(r) > 0 AS edgeExists:result:True +2024-10-30 05:55:10,306 - lightrag - INFO - get_edge:query: + MATCH (source:`PROJECT GUTENBERG LITERARY ARCHIVE FOUNDATION`)-[r]-(target:`U.S. INTERNAL REVENUE SERVICE`) + RETURN r + :result:, ) type='DIRECTED' properties={'keywords': '"financial oversight, tax compliance"', 'description': '"The Foundation\'s tax-exempt status is granted by the U.S. Internal Revenue Service, which oversees its financial compliance."', 'weight': 10.0, 'source_id': 'chunk-85f77f5e3a9aba01133555a2d20e2fd8'}> +2024-10-30 05:55:10,441 - lightrag - INFO - _check_edge_existence:query:MATCH (a:`MICHAEL S. HART`)-[r]-(b:`PROJECT GUTENBERG LITERARY ARCHIVE FOUNDATION`) RETURN COUNT(r) > 0 AS edgeExists:result:True +2024-10-30 05:55:10,576 - lightrag - INFO - get_edge:query: + MATCH (source:`MICHAEL S. HART`)-[r]-(target:`PROJECT GUTENBERG LITERARY ARCHIVE FOUNDATION`) + RETURN r + :result:, ) type='DIRECTED' properties={'keywords': '"founder, mission creation"', 'description': '"Michael S. Hart is the originator of the Project Gutenberg concept, instrumental in establishing its mission and operations."', 'weight': 9.0, 'source_id': 'chunk-85f77f5e3a9aba01133555a2d20e2fd8'}> +2024-10-30 05:55:10,710 - lightrag - INFO - _check_edge_existence:query:MATCH (a:`DONATIONS`)-[r]-(b:`PROJECT GUTENBERG LITERARY ARCHIVE FOUNDATION`) RETURN COUNT(r) > 0 AS edgeExists:result:True +2024-10-30 05:55:10,835 - lightrag - INFO - get_edge:query: + MATCH (source:`DONATIONS`)-[r]-(target:`PROJECT GUTENBERG LITERARY ARCHIVE FOUNDATION`) + RETURN r + :result:, ) type='DIRECTED' properties={'keywords': '"financial support, project funding"', 'description': '"Donations are critical financial support for the Foundation, enabling its initiatives and projects."', 'weight': 9.0, 'source_id': 'chunk-85f77f5e3a9aba01133555a2d20e2fd8'}> +2024-10-30 05:55:10,968 - lightrag - INFO - _check_edge_existence:query:MATCH (a:`MICHAEL S. HART`)-[r]-(b:`PROJECT GUTENBERG EBOOKS`) RETURN COUNT(r) > 0 AS edgeExists:result:True +2024-10-30 05:55:11,100 - lightrag - INFO - get_edge:query: + MATCH (source:`MICHAEL S. HART`)-[r]-(target:`PROJECT GUTENBERG EBOOKS`) + RETURN r + :result:, ) type='DIRECTED' properties={'keywords': '"content creation, legacy"', 'description': '"Michael S. Hart has been instrumental in the production and distribution of Project Gutenberg eBooks over forty years."', 'weight': 8.0, 'source_id': 'chunk-85f77f5e3a9aba01133555a2d20e2fd8'}> +2024-10-30 05:55:11,240 - lightrag - INFO - _check_edge_existence:query:MATCH (a:`501(C)(3)`)-[r]-(b:`PROJECT GUTENBERG LITERARY ARCHIVE FOUNDATION`) RETURN COUNT(r) > 0 AS edgeExists:result:True +2024-10-30 05:55:11,376 - lightrag - INFO - get_edge:query: + MATCH (source:`501(C)(3)`)-[r]-(target:`PROJECT GUTENBERG LITERARY ARCHIVE FOUNDATION`) + RETURN r + :result:, ) type='DIRECTED' properties={'keywords': '"tax status, charitable organization"', 'description': '"The Project Gutenberg Literary Archive Foundation operates under the 501(c)(3) tax-exempt status, allowing it to receive tax-deductible donations."', 'weight': 9.0, 'source_id': 'chunk-85f77f5e3a9aba01133555a2d20e2fd8'}> +2024-10-30 05:55:11,513 - lightrag - INFO - _check_edge_existence:query:MATCH (a:`EIN 64-6221541`)-[r]-(b:`PROJECT GUTENBERG LITERARY ARCHIVE FOUNDATION`) RETURN COUNT(r) > 0 AS edgeExists:result:True +2024-10-30 05:55:11,648 - lightrag - INFO - get_edge:query: + MATCH (source:`EIN 64-6221541`)-[r]-(target:`PROJECT GUTENBERG LITERARY ARCHIVE FOUNDATION`) + RETURN r + :result:, ) type='DIRECTED' properties={'keywords': '"tax identification, compliance"', 'description': '"The EIN serves as the foundation\'s identification for tax purposes, linking it to federal tax compliance."', 'weight': 8.0, 'source_id': 'chunk-85f77f5e3a9aba01133555a2d20e2fd8'}> +2024-10-30 05:55:11,787 - lightrag - INFO - _check_edge_existence:query:MATCH (a:`PROJECT GUTENBERG LITERARY ARCHIVE FOUNDATION`)-[r]-(b:`U.S. FEDERAL LAWS`) RETURN COUNT(r) > 0 AS edgeExists:result:True +2024-10-30 05:55:11,915 - lightrag - INFO - get_edge:query: + MATCH (source:`PROJECT GUTENBERG LITERARY ARCHIVE FOUNDATION`)-[r]-(target:`U.S. FEDERAL LAWS`) + RETURN r + :result:, ) type='DIRECTED' properties={'keywords': '"legal compliance, federal regulations"', 'description': '"The Foundation must comply with U.S. federal laws regarding charitable donations and tax-exempt status."', 'weight': 9.0, 'source_id': 'chunk-85f77f5e3a9aba01133555a2d20e2fd8'}> +2024-10-30 05:55:12,051 - lightrag - INFO - _check_edge_existence:query:MATCH (a:`PROJECT GUTENBERG LITERARY ARCHIVE FOUNDATION`)-[r]-(b:`WEBSITE`) RETURN COUNT(r) > 0 AS edgeExists:result:True +2024-10-30 05:55:12,181 - lightrag - INFO - get_edge:query: + MATCH (source:`PROJECT GUTENBERG LITERARY ARCHIVE FOUNDATION`)-[r]-(target:`WEBSITE`) + RETURN r + :result:, ) type='DIRECTED' properties={'keywords': '"information dissemination, online presence"', 'description': '"The Foundation uses its website to facilitate donations and disseminate information about its services and eBooks."', 'weight': 8.0, 'source_id': 'chunk-85f77f5e3a9aba01133555a2d20e2fd8'}> +2024-10-30 05:55:12,320 - lightrag - INFO - _check_edge_existence:query:MATCH (a:`PROJECT GUTENBERG LITERARY ARCHIVE FOUNDATION`)-[r]-(b:`PUBLIC DOMAIN`) RETURN COUNT(r) > 0 AS edgeExists:result:True +2024-10-30 05:55:12,452 - lightrag - INFO - get_edge:query: + MATCH (source:`PROJECT GUTENBERG LITERARY ARCHIVE FOUNDATION`)-[r]-(target:`PUBLIC DOMAIN`) + RETURN r + :result:, ) type='DIRECTED' properties={'keywords': '"accessibility, distribution"', 'description': '"The Foundation\'s mission is focused on distributing works that are in the Public Domain, enhancing accessibility for the public."', 'weight': 9.0, 'source_id': 'chunk-85f77f5e3a9aba01133555a2d20e2fd8'}> +2024-10-30 06:03:54,682 - lightrag - INFO - Logger initialized for working directory: ./neo4jWorkDir +2024-10-30 06:03:54,682 - lightrag - DEBUG - LightRAG init with param: working_dir = ./neo4jWorkDir, chunk_token_size = 1200, chunk_overlap_token_size = 100, @@ -7783,10 +11690,10 @@ entity_summary_to_max_tokens = 500, node_embedding_algorithm = node2vec, node2vec_params = {'dimensions': 1536, 'num_walks': 10, 'walk_length': 40, 'window_size': 2, 'iterations': 3, 'random_seed': 3}, - embedding_func = {'embedding_dim': 1536, 'max_token_size': 8192, 'func': }, + embedding_func = {'embedding_dim': 1536, 'max_token_size': 8192, 'func': }, embedding_batch_num = 32, embedding_func_max_async = 16, - llm_model_func = , + llm_model_func = , llm_model_name = meta-llama/Llama-3.2-1B-Instruct, llm_model_max_token_size = 32768, llm_model_max_async = 16, @@ -7796,318 +11703,3540 @@ graph_storage_cls = , enable_llm_cache = True, addon_params = {}, - convert_response_to_json_func = + convert_response_to_json_func = -2024-10-29 15:16:07,532 - lightrag - INFO - Load KV full_docs with 1 data -2024-10-29 15:16:07,532 - lightrag - INFO - Load KV text_chunks with 42 data -2024-10-29 15:16:07,533 - lightrag - INFO - Load KV llm_response_cache with 88 data -2024-10-29 15:16:07,553 - lightrag - INFO - Creating a new event loop in a sub-thread. -2024-10-29 15:16:07,554 - lightrag - WARNING - All docs are already in the storage -2024-10-29 15:16:07,575 - lightrag - INFO - Creating a new event loop in a sub-thread. -2024-10-29 15:16:08,355 - lightrag - INFO - Truncate 39 to 3 chunks -2024-10-29 15:16:08,365 - lightrag - INFO - Creating a new event loop in a sub-thread. -2024-10-29 15:16:09,254 - lightrag - INFO - get_node:query:MATCH (n:`EMOTION`) RETURN n:result: -2024-10-29 15:16:09,343 - lightrag - INFO - get_node:query:MATCH (n:`DARKNESS`) RETURN n:result: -2024-10-29 15:16:09,439 - lightrag - INFO - get_node:query:MATCH (n:`THE PHANTOM`) RETURN n:result: -2024-10-29 15:16:09,526 - lightrag - INFO - get_node:query:MATCH (n:`THE COSMIC SIGNIFICANCE`) RETURN n:result: -2024-10-29 15:16:09,628 - lightrag - INFO - get_node:query:MATCH (n:`CHRISTMAS HOLIDAYS`) RETURN n:result: -2024-10-29 15:16:09,720 - lightrag - INFO - get_node:query:MATCH (n:`PONDEROUS CHAIN`) RETURN n:result: -2024-10-29 15:16:09,814 - lightrag - INFO - get_node:query:MATCH (n:`HUMANITY`) RETURN n:result: -2024-10-29 15:16:09,903 - lightrag - INFO - get_node:query:MATCH (n:`CHRISTMAS`) RETURN n:result:"Christmas is a festive occasion that has led to a joyful transformation in Scrooge\'s character and actions.""Christmas is a festive time celebrated by the Cratchit family, symbolizing joy, family togetherness, and generosity.""Christmas is a significant holiday that serves as the backdrop for Scrooge\'s transformation and the events that unfold during the narrative.""Christmas is a significant holiday that triggers Scrooge\'s memories and reflections on joy, loneliness, and his past.""Christmas is central to the text, symbolizing generosity, charity, and warmth that Scrooge rejects.""Christmas is depicted as a festive season when charity and social duty are emphasized, contrasting with Scrooge\'s values.""Christmas is depicted as a time associated with joy and abundance, contrasting with Scrooge\'s initial views.""Christmas is depicted as a time of joy and communal spirit, marked by people\'s activities and interactions in the streets.""Christmas is depicted as a time of joy and generosity, contrasting sharply with Scrooge\'s past behavior and current solitude.""Christmas is portrayed as a festive time that Scrooge dismisses, emphasizing the contrast between joy and his miserable attitude.""Christmas is portrayed as a time of joy, reflection, and connection, emphasizing the positive impact of the holiday spirit on individuals and communities.""Christmas is presented as a time for merriment and social gatherings, which Scrooge\'s nephew advocates for despite his uncle\'s opposition.""Christmas is the central holiday during which the events unfold, leading to significant character transformations and themes of generosity.""Christmas is the season during which festive activities and celebrations are occurring, including dances and gatherings.""Christmas represents a time of reflection and change for Scrooge, emphasizing themes of redemption.""Christmas serves as a thematic backdrop for the story, symbolizing redemption, generosity, and the spirit of giving."', 'source_id': 'chunk-91614df5cb74cbe5e109a338a82041e9chunk-503f0bfa5453467c7c61d160a3540ecachunk-773d0df1dd25c356f7b771d780583e09chunk-8f738cb25d60a7dab782162d9d0a25edchunk-e7637ff18c5ded77a68cce0a87883fadchunk-8590d9263cd2cd4fa583c432fc54e6c3chunk-54bdd22db1f84a965b5f4c06c9216d8dchunk-02baee20cc9463dbe08170a8e1043e32chunk-90d5764e301321c087f5a8f78b73a145chunk-91572b3cd42786ba4cb2f180ca25cbf4chunk-1d4b58de5429cd1261370c231c8673e8chunk-da2472b4ef2a535b62908f14d0fb0ca9chunk-94bea83e7153fc2064aa382b494936a1chunk-89777b838d5447c7bd1ec11282c4ee89chunk-99b0ec7f7e006561352b5d65e849611dchunk-74e2466de2f67fd710ef2f20c0a8d9e0chunk-5dac41b3f9eeaf794f0147400b1718cd'}> -2024-10-29 15:16:09,993 - lightrag - INFO - get_node:query:MATCH (n:`DEATH`) RETURN n:result:"Death is described as a powerful force in the narrative, represented through the imagery of a cold, rigid presence and the contemplation of mortality.""Death refers to the passing of a character that triggers a range of emotions and reflections among the living, influencing their lives and relationships."', 'source_id': 'chunk-e1f29eeadc1d8ab46dc8a0bbd3c56b64chunk-83ac129dc9b56f84c46760d153d68e93chunk-02baee20cc9463dbe08170a8e1043e32'}> -2024-10-29 15:16:10,086 - lightrag - INFO - get_node:query:MATCH (n:`SCROOGE`) RETURN n:result:chunk-b2f98bc7abb0c67d4c86055c7fd72218chunk-91614df5cb74cbe5e109a338a82041e9chunk-8f738cb25d60a7dab782162d9d0a25edchunk-e7637ff18c5ded77a68cce0a87883fadchunk-d9aac3484185ac66045df92214d245d5chunk-90b95db5c53e4364a6bee36b7aa4d70fchunk-89777b838d5447c7bd1ec11282c4ee89chunk-c6c248858d1b13ab7ee9ca13c1aeed6bchunk-5dac41b3f9eeaf794f0147400b1718cdchunk-773d0df1dd25c356f7b771d780583e09chunk-843b5b2f944c7413d9ca876e2e2f151fchunk-f1a4fbcf1ed86864b9bfd5e8dba4c683chunk-359187e7571bda4b0b08b2e0b6581e52chunk-503f0bfa5453467c7c61d160a3540ecachunk-9c43dac2fcd5b578242d907ea6f8fc7bchunk-b0f459f5af1c3a5e0b92cbe4ee48b77bchunk-1aa50206d02ed89418f65f97c6441d1cchunk-54bdd22db1f84a965b5f4c06c9216d8dchunk-cb661c37436355ccec2769b1d0350c5fchunk-90d5764e301321c087f5a8f78b73a145chunk-91572b3cd42786ba4cb2f180ca25cbf4chunk-da2472b4ef2a535b62908f14d0fb0ca9chunk-99b0ec7f7e006561352b5d65e849611dchunk-43c9bee23adfa77aa9dedd22401bba7dchunk-83ac129dc9b56f84c46760d153d68e93chunk-e1f29eeadc1d8ab46dc8a0bbd3c56b64chunk-8590d9263cd2cd4fa583c432fc54e6c3chunk-02baee20cc9463dbe08170a8e1043e32chunk-94bea83e7153fc2064aa382b494936a1chunk-74e2466de2f67fd710ef2f20c0a8d9e0chunk-19d72c57ae3408758b18d2568e86dc6b'}> -2024-10-29 15:16:10,180 - lightrag - INFO - get_node:query:MATCH (n:`RUSTY KEYS, NAILS, CHAINS, HINGES`) RETURN n:result: -2024-10-29 15:16:10,272 - lightrag - INFO - get_node:query:MATCH (n:`THE PENANCE`) RETURN n:result: -2024-10-29 15:16:10,363 - lightrag - INFO - get_node:query:MATCH (n:`MAN`) RETURN n:result: -2024-10-29 15:16:10,456 - lightrag - INFO - get_node:query:MATCH (n:`THE SCHOOLMASTER`) RETURN n:result: -2024-10-29 15:16:10,551 - lightrag - INFO - get_node:query:MATCH (n:`THE GRAVE`) RETURN n:result: -2024-10-29 15:16:10,644 - lightrag - INFO - get_node:query:MATCH (n:`KEYHOLE`) RETURN n:result: -2024-10-29 15:16:10,737 - lightrag - INFO - get_node:query:MATCH (n:`SCHOOL`) RETURN n:result: -2024-10-29 15:16:10,826 - lightrag - INFO - get_node:query:MATCH (n:`THE CHAIN`) RETURN n:result:"The Chain symbolizes the burdens of the past that haunt the spirits, showcasing the consequences of one\'s actions in life."', 'source_id': 'chunk-359187e7571bda4b0b08b2e0b6581e52chunk-cb661c37436355ccec2769b1d0350c5f'}> -2024-10-29 15:16:10,914 - lightrag - INFO - get_node:query:MATCH (n:`THE THREE SPIRITS`) RETURN n:result: -2024-10-29 15:16:11,003 - lightrag - INFO - get_node:query:MATCH (n:`THE COLD`) RETURN n:result: -2024-10-29 15:16:11,094 - lightrag - INFO - get_node:query:MATCH (n:`DEEDS`) RETURN n:result: -2024-10-29 15:16:11,182 - lightrag - INFO - get_node:query:MATCH (n:`THE BLESSED STAR`) RETURN n:result: -2024-10-29 15:16:11,273 - lightrag - INFO - get_node:query:MATCH (n:`THE CANDLE`) RETURN n:result: -2024-10-29 15:16:11,363 - lightrag - INFO - get_node:query:MATCH (n:`FROST`) RETURN n:result: -2024-10-29 15:16:11,454 - lightrag - INFO - get_node:query:MATCH (n:`THE TRANSPARENT WINDOW`) RETURN n:result: -2024-10-29 15:16:11,547 - lightrag - INFO - get_node:query:MATCH (n:`THE CANDLE-LIGHT`) RETURN n:result: -2024-10-29 15:16:11,640 - lightrag - INFO - get_node:query:MATCH (n:`POVERTY`) RETURN n:result: -2024-10-29 15:16:11,734 - lightrag - INFO - get_node:query:MATCH (n:`SUNDAY CLOTHES BOY`) RETURN n:result: -2024-10-29 15:16:11,825 - lightrag - INFO - get_node:query:MATCH (n:`THE SOLITARY CHILD`) RETURN n:result: -2024-10-29 15:16:11,921 - lightrag - INFO - get_node:query:MATCH (n:`CITY`) RETURN n:result:"The City represents the urban setting where Scrooge witnesses the indifference of its inhabitants regarding his death.""The City represents the urban setting where Scrooge\'s transformation takes place, symbolizing the broader society impacted by his changes."', 'source_id': 'chunk-843b5b2f944c7413d9ca876e2e2f151fchunk-94bea83e7153fc2064aa382b494936a1chunk-02baee20cc9463dbe08170a8e1043e32'}> -2024-10-29 15:16:12,008 - lightrag - INFO - get_node:query:MATCH (n:`FEARFUL PLACE`) RETURN n:result: -2024-10-29 15:16:12,100 - lightrag - INFO - get_node:query:MATCH (n:`IRON CABLE`) RETURN n:result: -2024-10-29 15:16:12,189 - lightrag - INFO - get_node:query:MATCH (n:`SPIRIT`) RETURN n:result:"The Spirit embodies the lessons of compassion and social responsibility, guiding Scrooge through his reflections and realizations.""The Spirit is the manifestation of Scrooge\'s past that guides him through his memories, representing his former self and the influence of time.""The Spirit represents a ghostly entity, guiding Scrooge through visions of potential future events and urging him to acknowledge societal issues.""The Spirit represents a supernatural entity guiding Scrooge through his reflections on life, death, and human emotions, prompting self-awareness.""The Spirit represents the embodiment of the Christmas present, personifying the themes of generosity and merriment."', 'source_id': 'chunk-bb21d58d36c6306fd8810ddd51c4a971chunk-83ac129dc9b56f84c46760d153d68e93chunk-e7637ff18c5ded77a68cce0a87883fadchunk-843b5b2f944c7413d9ca876e2e2f151fchunk-1aa50206d02ed89418f65f97c6441d1cchunk-02baee20cc9463dbe08170a8e1043e32'}> -2024-10-29 15:16:12,278 - lightrag - INFO - get_node:query:MATCH (n:`THE SETTING SUN`) RETURN n:result: -2024-10-29 15:16:12,374 - lightrag - INFO - get_node:query:MATCH (n:`KEYS`) RETURN n:result: -2024-10-29 15:16:12,465 - lightrag - INFO - get_node:query:MATCH (n:`THE CLOTHES AND ITEMS`) RETURN n:result: -2024-10-29 15:16:12,560 - lightrag - INFO - get_node:query:MATCH (n:`AVARICE`) RETURN n:result: -2024-10-29 15:16:12,654 - lightrag - INFO - get_node:query:MATCH (n:`THE FIREPLACE`) RETURN n:result: -2024-10-29 15:16:12,748 - lightrag - INFO - get_node:query:MATCH (n:`WANT`) RETURN n:result: -2024-10-29 15:16:12,839 - lightrag - INFO - get_node:query:MATCH (n:`THE DAUGHTER`) RETURN n:result: -2024-10-29 15:16:12,928 - lightrag - INFO - get_node:query:MATCH (n:`CHRISTMAS-TIME`) RETURN n:result:"Christmas-time represents the festive season, a recurring theme that evokes memories and emotions in Scrooge’s reflections.""Christmas-time serves as a backdrop for the narrative, emphasizing themes of reflection, mortality, and social interactions."', 'source_id': 'chunk-f1a4fbcf1ed86864b9bfd5e8dba4c683chunk-c6c248858d1b13ab7ee9ca13c1aeed6bchunk-5dac41b3f9eeaf794f0147400b1718cd'}> -2024-10-29 15:16:13,018 - lightrag - INFO - get_node:query:MATCH (n:`THE BED`) RETURN n:result: -2024-10-29 15:16:13,105 - lightrag - INFO - get_node:query:MATCH (n:`KIND WORD`) RETURN n:result: -2024-10-29 15:16:13,193 - lightrag - INFO - get_node:query:MATCH (n:`SHADOW OF HIMSELF`) RETURN n:result: -2024-10-29 15:16:13,278 - lightrag - INFO - get_node:query:MATCH (n:`GAOL`) RETURN n:result: -2024-10-29 15:16:13,371 - lightrag - INFO - get_node:query:MATCH (n:`IGNORANCE`) RETURN n:result:"Ignorance is personified as a boy that symbolizes the dangers of ignoring social issues and the consequences of a lack of awareness."', 'source_id': 'chunk-02baee20cc9463dbe08170a8e1043e32chunk-e7637ff18c5ded77a68cce0a87883fad'}> -2024-10-29 15:16:13,461 - lightrag - INFO - get_node:query:MATCH (n:`CHILDREN`) RETURN n:result:"The Children represent the joyful, carefree aspects of Scrooge\'s past, embodying happiness and the innocence of youth that he has long forgotten."', 'source_id': 'chunk-bb21d58d36c6306fd8810ddd51c4a971chunk-e7637ff18c5ded77a68cce0a87883fad'}> -2024-10-29 15:16:13,554 - lightrag - INFO - get_node:query:MATCH (n:`THE ROOM BY DAYLIGHT`) RETURN n:result: -2024-10-29 15:16:13,646 - lightrag - INFO - get_node:query:MATCH (n:`THE BOTTLE`) RETURN n:result: -2024-10-29 15:16:13,744 - lightrag - INFO - get_node:query:MATCH (n:`THE FLANNEL BAG`) RETURN n:result: -2024-10-29 15:16:13,839 - lightrag - INFO - get_node:query:MATCH (n:`A CHRISTMAS CAROL`) RETURN n:result: -2024-10-29 15:16:13,930 - lightrag - INFO - get_node:query:MATCH (n:`THE YOUNG GIRL`) RETURN n:result: -2024-10-29 15:16:14,018 - lightrag - INFO - get_node:query:MATCH (n:`THE CITY`) RETURN n:result:"The City represents the bustling urban environment where Scrooge reflects on his past, filled with activity and shadowy figures.""The City, from which Scrooge is transported, represents his past life and is contrasted with the open country road that signifies his memories."', 'source_id': 'chunk-bb21d58d36c6306fd8810ddd51c4a971chunk-c6c248858d1b13ab7ee9ca13c1aeed6bchunk-74e2466de2f67fd710ef2f20c0a8d9e0'}> -2024-10-29 15:16:14,111 - lightrag - INFO - get_node:query:MATCH (n:`GHOST`) RETURN n:result:"The Ghost refers to the spirit guiding Scrooge, embodying the themes of memory and reflection on the joys of Christmas.""The Ghost represents a spiritual guide that takes Scrooge on a journey to learn important lessons about compassion and humanity.""The Ghost serves as a supernatural guide for Scrooge, prompting him to reflect on his life and choices."', 'source_id': 'chunk-503f0bfa5453467c7c61d160a3540ecachunk-c6c248858d1b13ab7ee9ca13c1aeed6bchunk-e7637ff18c5ded77a68cce0a87883fadchunk-43c9bee23adfa77aa9dedd22401bba7d'}> -2024-10-29 15:16:14,199 - lightrag - INFO - get_node:query:MATCH (n:`MERCILESS CREDITOR`) RETURN n:result: -2024-10-29 15:16:14,288 - lightrag - INFO - get_node:query:MATCH (n:`THE SPIRITS`) RETURN n:result:"The Spirits represent the past, present, and future in Scrooge\'s life, guiding him toward redemption and self-reflection."', 'source_id': 'chunk-90b95db5c53e4364a6bee36b7aa4d70fchunk-cb661c37436355ccec2769b1d0350c5f'}> -2024-10-29 15:16:14,381 - lightrag - INFO - get_node:query:MATCH (n:`THE MOTHER`) RETURN n:result:"The Mother is a character associated with the family dynamics during the Christmas scene, though her actions are not explicitly detailed.""The Mother is depicted as a comely matron, who enjoys the laughter and chaos with her children, showing warmth and family value."', 'source_id': 'chunk-da2472b4ef2a535b62908f14d0fb0ca9chunk-83ac129dc9b56f84c46760d153d68e93chunk-54bdd22db1f84a965b5f4c06c9216d8d'}> -2024-10-29 15:16:14,473 - lightrag - INFO - get_node:query:MATCH (n:`LIGHT`) RETURN n:result: -2024-10-29 15:16:14,565 - lightrag - INFO - get_node:query:MATCH (n:`TWO YOUNG CRATCHITS`) RETURN n:result: -2024-10-29 15:16:14,659 - lightrag - INFO - get_node:query:MATCH (n:`JOE`) RETURN n:result:"Joe is a marine-store dealer depicted as receiving stolen goods, illustrating the consequences of crime and the darker sides of society.""Joe is portrayed as a character engaged in a conversation about the deceased, displaying a mix of humor and practicality in dealing with the possessions of the dead."', 'source_id': 'chunk-89777b838d5447c7bd1ec11282c4ee89chunk-9e3921da66da5d761ab73cd849af6c43chunk-e1f29eeadc1d8ab46dc8a0bbd3c56b64'}> -2024-10-29 15:16:14,802 - lightrag - INFO - _find_node_degree:query: - MATCH (n:`EMOTION`) - RETURN COUNT{ (n)--() } AS totalEdgeCount - :result:0 -2024-10-29 15:16:14,981 - lightrag - INFO - _find_node_degree:query: - MATCH (n:`DARKNESS`) - RETURN COUNT{ (n)--() } AS totalEdgeCount - :result:1 -2024-10-29 15:16:15,150 - lightrag - INFO - _find_node_degree:query: - MATCH (n:`THE PHANTOM`) - RETURN COUNT{ (n)--() } AS totalEdgeCount - :result:2 -2024-10-29 15:16:15,319 - lightrag - INFO - _find_node_degree:query: - MATCH (n:`THE COSMIC SIGNIFICANCE`) - RETURN COUNT{ (n)--() } AS totalEdgeCount - :result:0 -2024-10-29 15:16:15,487 - lightrag - INFO - _find_node_degree:query: - MATCH (n:`CHRISTMAS HOLIDAYS`) - RETURN COUNT{ (n)--() } AS totalEdgeCount - :result:0 -2024-10-29 15:16:15,657 - lightrag - INFO - _find_node_degree:query: - MATCH (n:`PONDEROUS CHAIN`) - RETURN COUNT{ (n)--() } AS totalEdgeCount - :result:0 -2024-10-29 15:16:15,831 - lightrag - INFO - _find_node_degree:query: - MATCH (n:`HUMANITY`) - RETURN COUNT{ (n)--() } AS totalEdgeCount - :result:1 -2024-10-29 15:16:16,004 - lightrag - INFO - _find_node_degree:query: - MATCH (n:`CHRISTMAS`) - RETURN COUNT{ (n)--() } AS totalEdgeCount - :result:18 -2024-10-29 15:16:16,178 - lightrag - INFO - _find_node_degree:query: - MATCH (n:`DEATH`) - RETURN COUNT{ (n)--() } AS totalEdgeCount - :result:3 -2024-10-29 15:16:16,356 - lightrag - INFO - _find_node_degree:query: - MATCH (n:`SCROOGE`) - RETURN COUNT{ (n)--() } AS totalEdgeCount - :result:100 -2024-10-29 15:16:16,527 - lightrag - INFO - _find_node_degree:query: - MATCH (n:`RUSTY KEYS, NAILS, CHAINS, HINGES`) - RETURN COUNT{ (n)--() } AS totalEdgeCount - :result:1 -2024-10-29 15:16:16,697 - lightrag - INFO - _find_node_degree:query: - MATCH (n:`THE PENANCE`) - RETURN COUNT{ (n)--() } AS totalEdgeCount - :result:0 -2024-10-29 15:16:16,873 - lightrag - INFO - _find_node_degree:query: - MATCH (n:`MAN`) - RETURN COUNT{ (n)--() } AS totalEdgeCount - :result:1 -2024-10-29 15:16:17,047 - lightrag - INFO - _find_node_degree:query: - MATCH (n:`THE SCHOOLMASTER`) - RETURN COUNT{ (n)--() } AS totalEdgeCount - :result:1 -2024-10-29 15:16:17,220 - lightrag - INFO - _find_node_degree:query: - MATCH (n:`THE GRAVE`) - RETURN COUNT{ (n)--() } AS totalEdgeCount - :result:1 -2024-10-29 15:16:17,401 - lightrag - INFO - _find_node_degree:query: - MATCH (n:`KEYHOLE`) - RETURN COUNT{ (n)--() } AS totalEdgeCount - :result:0 -2024-10-29 15:16:17,572 - lightrag - INFO - _find_node_degree:query: - MATCH (n:`SCHOOL`) - RETURN COUNT{ (n)--() } AS totalEdgeCount - :result:2 -2024-10-29 15:16:17,743 - lightrag - INFO - _find_node_degree:query: - MATCH (n:`THE CHAIN`) - RETURN COUNT{ (n)--() } AS totalEdgeCount - :result:0 -2024-10-29 15:16:17,918 - lightrag - INFO - _find_node_degree:query: - MATCH (n:`THE THREE SPIRITS`) - RETURN COUNT{ (n)--() } AS totalEdgeCount - :result:1 -2024-10-29 15:16:18,090 - lightrag - INFO - _find_node_degree:query: - MATCH (n:`THE COLD`) - RETURN COUNT{ (n)--() } AS totalEdgeCount - :result:1 -2024-10-29 15:16:18,265 - lightrag - INFO - _find_node_degree:query: - MATCH (n:`DEEDS`) - RETURN COUNT{ (n)--() } AS totalEdgeCount - :result:0 -2024-10-29 15:16:18,437 - lightrag - INFO - _find_node_degree:query: - MATCH (n:`THE BLESSED STAR`) - RETURN COUNT{ (n)--() } AS totalEdgeCount - :result:0 -2024-10-29 15:16:18,610 - lightrag - INFO - _find_node_degree:query: - MATCH (n:`THE CANDLE`) - RETURN COUNT{ (n)--() } AS totalEdgeCount - :result:1 -2024-10-29 15:16:18,784 - lightrag - INFO - _find_node_degree:query: - MATCH (n:`FROST`) - RETURN COUNT{ (n)--() } AS totalEdgeCount - :result:1 -2024-10-29 15:16:18,960 - lightrag - INFO - _find_node_degree:query: - MATCH (n:`THE TRANSPARENT WINDOW`) - RETURN COUNT{ (n)--() } AS totalEdgeCount - :result:0 -2024-10-29 15:16:19,127 - lightrag - INFO - _find_node_degree:query: - MATCH (n:`THE CANDLE-LIGHT`) - RETURN COUNT{ (n)--() } AS totalEdgeCount - :result:0 -2024-10-29 15:16:19,302 - lightrag - INFO - _find_node_degree:query: - MATCH (n:`POVERTY`) - RETURN COUNT{ (n)--() } AS totalEdgeCount - :result:1 -2024-10-29 15:16:19,479 - lightrag - INFO - _find_node_degree:query: - MATCH (n:`SUNDAY CLOTHES BOY`) - RETURN COUNT{ (n)--() } AS totalEdgeCount - :result:1 -2024-10-29 15:16:19,649 - lightrag - INFO - _find_node_degree:query: - MATCH (n:`THE SOLITARY CHILD`) - RETURN COUNT{ (n)--() } AS totalEdgeCount - :result:0 -2024-10-29 15:16:19,825 - lightrag - INFO - _find_node_degree:query: - MATCH (n:`CITY`) - RETURN COUNT{ (n)--() } AS totalEdgeCount - :result:1 -2024-10-29 15:16:20,006 - lightrag - INFO - _find_node_degree:query: - MATCH (n:`FEARFUL PLACE`) - RETURN COUNT{ (n)--() } AS totalEdgeCount - :result:0 -2024-10-29 15:16:20,175 - lightrag - INFO - _find_node_degree:query: - MATCH (n:`IRON CABLE`) - RETURN COUNT{ (n)--() } AS totalEdgeCount - :result:0 -2024-10-29 15:16:20,347 - lightrag - INFO - _find_node_degree:query: - MATCH (n:`SPIRIT`) - RETURN COUNT{ (n)--() } AS totalEdgeCount - :result:9 -2024-10-29 15:16:20,525 - lightrag - INFO - _find_node_degree:query: - MATCH (n:`THE SETTING SUN`) - RETURN COUNT{ (n)--() } AS totalEdgeCount - :result:1 -2024-10-29 15:16:20,695 - lightrag - INFO - _find_node_degree:query: - MATCH (n:`KEYS`) - RETURN COUNT{ (n)--() } AS totalEdgeCount - :result:0 -2024-10-29 15:16:20,865 - lightrag - INFO - _find_node_degree:query: - MATCH (n:`THE CLOTHES AND ITEMS`) - RETURN COUNT{ (n)--() } AS totalEdgeCount - :result:0 -2024-10-29 15:16:21,040 - lightrag - INFO - _find_node_degree:query: - MATCH (n:`AVARICE`) - RETURN COUNT{ (n)--() } AS totalEdgeCount - :result:0 -2024-10-29 15:16:21,212 - lightrag - INFO - _find_node_degree:query: - MATCH (n:`THE FIREPLACE`) - RETURN COUNT{ (n)--() } AS totalEdgeCount - :result:0 -2024-10-29 15:16:21,382 - lightrag - INFO - _find_node_degree:query: - MATCH (n:`WANT`) - RETURN COUNT{ (n)--() } AS totalEdgeCount - :result:1 -2024-10-29 15:16:21,554 - lightrag - INFO - _find_node_degree:query: - MATCH (n:`THE DAUGHTER`) - RETURN COUNT{ (n)--() } AS totalEdgeCount - :result:1 -2024-10-29 15:16:21,732 - lightrag - INFO - _find_node_degree:query: - MATCH (n:`CHRISTMAS-TIME`) - RETURN COUNT{ (n)--() } AS totalEdgeCount - :result:2 -2024-10-29 15:16:21,907 - lightrag - INFO - _find_node_degree:query: - MATCH (n:`THE BED`) - RETURN COUNT{ (n)--() } AS totalEdgeCount - :result:1 -2024-10-29 15:16:22,078 - lightrag - INFO - _find_node_degree:query: - MATCH (n:`KIND WORD`) - RETURN COUNT{ (n)--() } AS totalEdgeCount - :result:0 -2024-10-29 15:16:22,247 - lightrag - INFO - _find_node_degree:query: - MATCH (n:`SHADOW OF HIMSELF`) - RETURN COUNT{ (n)--() } AS totalEdgeCount - :result:1 -2024-10-29 15:16:22,421 - lightrag - INFO - _find_node_degree:query: - MATCH (n:`GAOL`) - RETURN COUNT{ (n)--() } AS totalEdgeCount - :result:1 -2024-10-29 15:16:22,592 - lightrag - INFO - _find_node_degree:query: - MATCH (n:`IGNORANCE`) - RETURN COUNT{ (n)--() } AS totalEdgeCount - :result:3 -2024-10-29 15:16:22,764 - lightrag - INFO - _find_node_degree:query: - MATCH (n:`CHILDREN`) - RETURN COUNT{ (n)--() } AS totalEdgeCount - :result:2 -2024-10-29 15:16:22,939 - lightrag - INFO - _find_node_degree:query: - MATCH (n:`THE ROOM BY DAYLIGHT`) - RETURN COUNT{ (n)--() } AS totalEdgeCount - :result:0 -2024-10-29 15:16:23,114 - lightrag - INFO - _find_node_degree:query: - MATCH (n:`THE BOTTLE`) - RETURN COUNT{ (n)--() } AS totalEdgeCount - :result:0 -2024-10-29 15:16:23,284 - lightrag - INFO - _find_node_degree:query: - MATCH (n:`THE FLANNEL BAG`) - RETURN COUNT{ (n)--() } AS totalEdgeCount - :result:0 -2024-10-29 15:16:23,458 - lightrag - INFO - _find_node_degree:query: - MATCH (n:`A CHRISTMAS CAROL`) - RETURN COUNT{ (n)--() } AS totalEdgeCount - :result:3 -2024-10-29 15:16:23,629 - lightrag - INFO - _find_node_degree:query: - MATCH (n:`THE YOUNG GIRL`) - RETURN COUNT{ (n)--() } AS totalEdgeCount - :result:1 -2024-10-29 15:16:23,812 - lightrag - INFO - _find_node_degree:query: - MATCH (n:`THE CITY`) - RETURN COUNT{ (n)--() } AS totalEdgeCount - :result:3 -2024-10-29 15:16:23,985 - lightrag - INFO - _find_node_degree:query: - MATCH (n:`GHOST`) - RETURN COUNT{ (n)--() } AS totalEdgeCount - :result:3 -2024-10-29 15:16:24,163 - lightrag - INFO - _find_node_degree:query: - MATCH (n:`MERCILESS CREDITOR`) - RETURN COUNT{ (n)--() } AS totalEdgeCount - :result:0 -2024-10-29 15:16:24,338 - lightrag - INFO - _find_node_degree:query: - MATCH (n:`THE SPIRITS`) - RETURN COUNT{ (n)--() } AS totalEdgeCount - :result:1 -2024-10-29 15:16:24,512 - lightrag - INFO - _find_node_degree:query: - MATCH (n:`THE MOTHER`) - RETURN COUNT{ (n)--() } AS totalEdgeCount - :result:2 -2024-10-29 15:16:24,687 - lightrag - INFO - _find_node_degree:query: - MATCH (n:`LIGHT`) - RETURN COUNT{ (n)--() } AS totalEdgeCount - :result:1 -2024-10-29 15:16:24,864 - lightrag - INFO - _find_node_degree:query: - MATCH (n:`TWO YOUNG CRATCHITS`) - RETURN COUNT{ (n)--() } AS totalEdgeCount - :result:0 -2024-10-29 15:16:25,039 - lightrag - INFO - _find_node_degree:query: - MATCH (n:`JOE`) - RETURN COUNT{ (n)--() } AS totalEdgeCount - :result:2 -2024-10-29 15:28:45,611 - lightrag - INFO - Logger initialized for working directory: ./neo4jWorkDir -2024-10-29 15:28:45,611 - lightrag - DEBUG - LightRAG init with param: +2024-10-30 06:03:54,682 - lightrag - INFO - Load KV full_docs with 0 data +2024-10-30 06:03:54,683 - lightrag - INFO - Load KV text_chunks with 0 data +2024-10-30 06:03:54,684 - lightrag - INFO - Load KV llm_response_cache with 105 data +2024-10-30 06:03:54,687 - lightrag - INFO - Creating a new event loop in a sub-thread. +2024-10-30 06:03:54,688 - lightrag - INFO - [New Docs] inserting 1 docs +2024-10-30 06:03:54,864 - lightrag - INFO - [New Chunks] inserting 42 chunks +2024-10-30 06:03:54,864 - lightrag - INFO - Inserting 42 vectors to chunks +2024-10-30 06:03:56,387 - lightrag - INFO - [Entity Extraction]... +2024-10-30 06:03:57,188 - lightrag - INFO - get_node:query:MATCH (n:`PROJECT GUTENBERG`) RETURN n:result:"Project Gutenberg is a digital library offering free access to a vast array of eBooks, particularly those not protected by U.S. copyright law, allowing for worldwide distribution under specific conditions.""Project Gutenberg is a digital library offering free access to a vast array of eBooks, particularly those not protected by U.S. copyright law, allowing for worldwide distribution under specific conditions.""Project Gutenberg is a digital library offering free eBooks, allowing anyone to access literature in various formats without restrictions.""Project Gutenberg is a digital library providing free access to a wide range of eBooks, primarily in the United States and other regions, under specific licensing terms.""Project Gutenberg is an organization dedicated to the free distribution of electronic works and the preservation of the cultural heritage by providing access to public domain literature.""Project Gutenberg is an organization dedicated to the free distribution of electronic works, relying on volunteers and donations to maintain its collection.""Project Gutenberg is an organization that promotes the free distribution of electronic works and holds a compilation copyright for its collection.""Project Gutenberg is an organization that provides free eBooks, promoting accessibility to literature without restrictions.""Project Gutenberg is an organization dedicated to the free distribution of electronic works, relying on volunteers and donations to maintain its collection.""Project Gutenberg is an organization that promotes the free distribution of electronic works and holds a compilation copyright for its collection.""Project Gutenberg is an organization that provides free eBooks, promoting accessibility to literature without restrictions.""Project Gutenberg is an organization dedicated to the free distribution of electronic works, relying on volunteers and donations to maintain its collection.""Project Gutenberg is an organization that promotes the free distribution of electronic works and holds a compilation copyright for its collection.""Project Gutenberg is an organization that provides free eBooks, promoting accessibility to literature without restrictions."', 'source_id': 'chunk-194cd9680f4967f48bea89678f7ece21chunk-c51b3dc560b408cce12cdfe5c9c94f57chunk-af4ae173c561e4594c5aea96198cce9dchunk-9e3921da66da5d761ab73cd849af6c43'}> +2024-10-30 06:03:57,190 - lightrag - DEBUG - Trigger summary: "PROJECT GUTENBERG" +2024-10-30 06:03:57,292 - lightrag - INFO - get_node:query:MATCH (n:`A CHRISTMAS CAROL`) RETURN n:result:"A Christmas Carol is a famous novella by Charles Dickens that tells the story of Ebenezer Scrooge\'s transformation and redemption, particularly around the Christmas season.""A Christmas Carol is a famous novella by Charles Dickens that tells the story of Ebenezer Scrooge\'s transformation and redemption, particularly around the Christmas season.""A Christmas Carol is a literary work available through Project Gutenberg, indicating its role in literature and public access.""A Christmas Carol is a novella by Charles Dickens that explores themes of redemption, compassion, and the spirit of Christmas, first published in 1843.""A Christmas Carol is a literary work available through Project Gutenberg, indicating its role in literature and public access.""A Christmas Carol is a literary work available through Project Gutenberg, indicating its role in literature and public access."', 'source_id': 'chunk-194cd9680f4967f48bea89678f7ece21chunk-9e3921da66da5d761ab73cd849af6c43'}> +2024-10-30 06:03:57,435 - lightrag - INFO - _do_upsert:query: + MERGE (n:`A CHRISTMAS CAROL`) + SET n += $properties + RETURN n + :result:{'entity_type': '"EVENT"', 'description': '"A Christmas Carol is a famous novella by Charles Dickens that tells the story of Ebenezer Scrooge\'s transformation and redemption, particularly around the Christmas season.""A Christmas Carol is a famous novella by Charles Dickens that tells the story of Ebenezer Scrooge\'s transformation and redemption, particularly around the Christmas season.""A Christmas Carol is a famous novella by Charles Dickens that tells the story of Ebenezer Scrooge\'s transformation and redemption, particularly around the Christmas season.""A Christmas Carol is a famous novella by Charles Dickens that tells the story of Ebenezer Scrooge\'s transformation and redemption, particularly around the Christmas season.""A Christmas Carol is a literary work available through Project Gutenberg, indicating its role in literature and public access.""A Christmas Carol is a novella by Charles Dickens that explores themes of redemption, compassion, and the spirit of Christmas, first published in 1843.""A Christmas Carol is a literary work available through Project Gutenberg, indicating its role in literature and public access.""A Christmas Carol is a literary work available through Project Gutenberg, indicating its role in literature and public access.""A Christmas Carol is a literary work available through Project Gutenberg, indicating its role in literature and public access."', 'source_id': 'chunk-194cd9680f4967f48bea89678f7ece21chunk-9e3921da66da5d761ab73cd849af6c43'} +2024-10-30 06:03:57,566 - lightrag - INFO - get_node:query:MATCH (n:`CHARLES DICKENS`) RETURN n:result:"Charles Dickens is the author of A Christmas Carol, a prominent English writer known for his literary contributions in the 19th century.""Charles Dickens is the author of A Christmas Carol, a prominent English writer known for his literary contributions in the 19th century.""Charles Dickens is the author of A Christmas Carol, a prominent English writer known for his literary contributions in the 19th century."', 'source_id': 'chunk-9e3921da66da5d761ab73cd849af6c43'}> +2024-10-30 06:03:57,701 - lightrag - INFO - _do_upsert:query: + MERGE (n:`CHARLES DICKENS`) + SET n += $properties + RETURN n + :result:{'entity_type': '"PERSON"', 'description': '"Charles Dickens is a renowned English writer and social critic, best known for his novels depicting Victorian society, including A Christmas Carol.""Charles Dickens is the author of A Christmas Carol, a prominent English writer known for his literary contributions in the 19th century.""Charles Dickens is the author of A Christmas Carol, a prominent English writer known for his literary contributions in the 19th century.""Charles Dickens is the author of A Christmas Carol, a prominent English writer known for his literary contributions in the 19th century.""Charles Dickens is the author of A Christmas Carol, a prominent English writer known for his literary contributions in the 19th century."', 'source_id': 'chunk-9e3921da66da5d761ab73cd849af6c43'} +2024-10-30 06:03:57,833 - lightrag - INFO - get_node:query:MATCH (n:`ARTHUR RACKHAM`) RETURN n:result:"Arthur Rackham is the illustrator of A Christmas Carol, renowned for his distinctive style in illustrating classic literature.""Arthur Rackham is the illustrator of A Christmas Carol, renowned for his distinctive style in illustrating classic literature.""Arthur Rackham was an English illustrator known for his imaginative and detailed illustrations for children\'s books, including A Christmas Carol."', 'source_id': 'chunk-9e3921da66da5d761ab73cd849af6c43'}> +2024-10-30 06:03:57,964 - lightrag - INFO - _do_upsert:query: + MERGE (n:`ARTHUR RACKHAM`) + SET n += $properties + RETURN n + :result:{'entity_type': '"PERSON"', 'description': '"Arthur Rackham is the illustrator of A Christmas Carol, renowned for his distinctive style in illustrating classic literature.""Arthur Rackham is the illustrator of A Christmas Carol, renowned for his distinctive style in illustrating classic literature.""Arthur Rackham is the illustrator of A Christmas Carol, renowned for his distinctive style in illustrating classic literature.""Arthur Rackham is the illustrator of A Christmas Carol, renowned for his distinctive style in illustrating classic literature.""Arthur Rackham was an English illustrator known for his imaginative and detailed illustrations for children\'s books, including A Christmas Carol."', 'source_id': 'chunk-9e3921da66da5d761ab73cd849af6c43'} +2024-10-30 06:03:58,098 - lightrag - INFO - get_node:query:MATCH (n:`EBENEZER SCROOGE`) RETURN n:result:"Ebenezer Scrooge is a central character known for his past connections and interactions, especially with Fezziwig and Dick Wilkins.""Ebenezer Scrooge is a central character known for his past connections and interactions, especially with Fezziwig and Dick Wilkins.""Ebenezer Scrooge is a protagonist who experiences confusion and fear regarding the passage of time and supernatural events, especially concerned about a ghostly visitation.""Ebenezer Scrooge is the main character of A Christmas Carol, portrayed as a miserly and greedy old man who experiences a transformation through the visitation of spirits.""Ebenezer Scrooge is the main character of A Christmas Carol, depicted as a miserly and cold-hearted man who undergoes a significant transformation.""Ebenezer Scrooge is the main character who experiences a profound transformation through his encounters with supernatural entities.""Ebenezer Scrooge is the main character of A Christmas Carol, depicted as a miserly and cold-hearted man who undergoes a significant transformation.""Ebenezer Scrooge is the main character who experiences a profound transformation through his encounters with supernatural entities.""Ebenezer Scrooge is the main character of A Christmas Carol, depicted as a miserly and cold-hearted man who undergoes a significant transformation.""Ebenezer Scrooge is the main character who experiences a profound transformation through his encounters with supernatural entities."', 'source_id': 'chunk-8bc1edd983869352d14cf0886a9175a7chunk-c7b10789a9cb0af6c553730b29bd9034chunk-9e3921da66da5d761ab73cd849af6c43'}> +2024-10-30 06:03:58,232 - lightrag - INFO - _do_upsert:query: + MERGE (n:`EBENEZER SCROOGE`) + SET n += $properties + RETURN n + :result:{'entity_type': '"PERSON"', 'description': '"Ebenezer Scrooge is a central character known for his past connections and interactions, especially with Fezziwig and Dick Wilkins.""Ebenezer Scrooge is a central character known for his past connections and interactions, especially with Fezziwig and Dick Wilkins.""Ebenezer Scrooge is a central character known for his past connections and interactions, especially with Fezziwig and Dick Wilkins.""Ebenezer Scrooge is a central character known for his past connections and interactions, especially with Fezziwig and Dick Wilkins.""Ebenezer Scrooge is a protagonist who experiences confusion and fear regarding the passage of time and supernatural events, especially concerned about a ghostly visitation.""Ebenezer Scrooge is the main character of A Christmas Carol, portrayed as a miserly and greedy old man who experiences a transformation through the visitation of spirits.""Ebenezer Scrooge is the main character of A Christmas Carol, depicted as a miserly and cold-hearted man who undergoes a significant transformation.""Ebenezer Scrooge is the main character who experiences a profound transformation through his encounters with supernatural entities.""Ebenezer Scrooge is the main character of A Christmas Carol, depicted as a miserly and cold-hearted man who undergoes a significant transformation.""Ebenezer Scrooge is the main character who experiences a profound transformation through his encounters with supernatural entities.""Ebenezer Scrooge is the main character of A Christmas Carol, depicted as a miserly and cold-hearted man who undergoes a significant transformation.""Ebenezer Scrooge is the main character who experiences a profound transformation through his encounters with supernatural entities.""Ebenezer Scrooge is the main character of A Christmas Carol, depicted as a miserly and cold-hearted man who undergoes a significant transformation.""Ebenezer Scrooge is the main character who experiences a profound transformation through his encounters with supernatural entities."', 'source_id': 'chunk-c7b10789a9cb0af6c553730b29bd9034chunk-9e3921da66da5d761ab73cd849af6c43chunk-8bc1edd983869352d14cf0886a9175a7'} +2024-10-30 06:03:58,362 - lightrag - INFO - get_node:query:MATCH (n:`BOB CRATCHIT`) RETURN n:result:chunk-19d72c57ae3408758b18d2568e86dc6bchunk-91572b3cd42786ba4cb2f180ca25cbf4chunk-94bea83e7153fc2064aa382b494936a1chunk-83ac129dc9b56f84c46760d153d68e93chunk-503f0bfa5453467c7c61d160a3540ecachunk-1d4b58de5429cd1261370c231c8673e8chunk-90b95db5c53e4364a6bee36b7aa4d70fchunk-b0f459f5af1c3a5e0b92cbe4ee48b77bchunk-7e2e7ebcc19a53b399dc03aded4743e7chunk-9e3921da66da5d761ab73cd849af6c43'}> +2024-10-30 06:03:58,364 - lightrag - DEBUG - Trigger summary: "BOB CRATCHIT" +2024-10-30 06:03:58,464 - lightrag - INFO - get_node:query:MATCH (n:`TINY TIM`) RETURN n:result:chunk-19d72c57ae3408758b18d2568e86dc6bchunk-91572b3cd42786ba4cb2f180ca25cbf4chunk-94bea83e7153fc2064aa382b494936a1chunk-83ac129dc9b56f84c46760d153d68e93chunk-503f0bfa5453467c7c61d160a3540ecachunk-1d4b58de5429cd1261370c231c8673e8chunk-90b95db5c53e4364a6bee36b7aa4d70fchunk-7e2e7ebcc19a53b399dc03aded4743e7chunk-9e3921da66da5d761ab73cd849af6c43'}> +2024-10-30 06:03:58,467 - lightrag - DEBUG - Trigger summary: "TINY TIM" +2024-10-30 06:03:58,567 - lightrag - INFO - get_node:query:MATCH (n:`MR. FEZZIWIG`) RETURN n:result:"Mr. Fezziwig is a kind-hearted merchant and former employer of Scrooge, representing joy and generosity in contrast to Scrooge\'s character.""Mr. Fezziwig is a kind-hearted merchant and former employer of Scrooge, representing joy and generosity in contrast to Scrooge\'s character.""Mr. Fezziwig is a kind-hearted old merchant who served as a mentor to Scrooge, representing generosity and the joy of Christmas through his festive parties."', 'source_id': 'chunk-9e3921da66da5d761ab73cd849af6c43'}> +2024-10-30 06:03:58,700 - lightrag - INFO - _do_upsert:query: + MERGE (n:`MR. FEZZIWIG`) + SET n += $properties + RETURN n + :result:{'entity_type': '"PERSON"', 'description': '"Mr. Fezziwig is a kind-hearted merchant and former employer of Scrooge, representing joy and generosity in contrast to Scrooge\'s character.""Mr. Fezziwig is a kind-hearted merchant and former employer of Scrooge, representing joy and generosity in contrast to Scrooge\'s character.""Mr. Fezziwig is a kind-hearted merchant and former employer of Scrooge, representing joy and generosity in contrast to Scrooge\'s character.""Mr. Fezziwig is a kind-hearted merchant and former employer of Scrooge, representing joy and generosity in contrast to Scrooge\'s character.""Mr. Fezziwig is a kind-hearted old merchant who served as a mentor to Scrooge, representing generosity and the joy of Christmas through his festive parties."', 'source_id': 'chunk-9e3921da66da5d761ab73cd849af6c43'} +2024-10-30 06:03:58,829 - lightrag - INFO - get_node:query:MATCH (n:`GHOST OF CHRISTMAS PAST`) RETURN n:result:"The Ghost of Christmas Past is a supernatural entity that aids Scrooge in reflecting on his past experiences and emotions.""The Ghost of Christmas Past is one of the spirits in A Christmas Carol that shows Scrooge his past, prompting reflection and change.""The Ghost of Christmas Past represents a spirit that guides Scrooge to revisit and reflect on his past experiences and memories.""The Ghost of Christmas Past is one of the spirits in A Christmas Carol that shows Scrooge his past, prompting reflection and change.""The Ghost of Christmas Past represents a spirit that guides Scrooge to revisit and reflect on his past experiences and memories.""The Ghost of Christmas Past is one of the spirits in A Christmas Carol that shows Scrooge his past, prompting reflection and change.""The Ghost of Christmas Past represents a spirit that guides Scrooge to revisit and reflect on his past experiences and memories."', 'source_id': 'chunk-bb21d58d36c6306fd8810ddd51c4a971chunk-9e3921da66da5d761ab73cd849af6c43'}> +2024-10-30 06:03:58,964 - lightrag - INFO - _do_upsert:query: + MERGE (n:`GHOST OF CHRISTMAS PAST`) + SET n += $properties + RETURN n + :result:{'entity_type': '"EVENT"', 'description': '"The Ghost of Christmas Past is a supernatural character that shows Scrooge his past, helping him understand the roots of his current miserliness.""The Ghost of Christmas Past is a supernatural entity that aids Scrooge in reflecting on his past experiences and emotions.""The Ghost of Christmas Past is one of the spirits in A Christmas Carol that shows Scrooge his past, prompting reflection and change.""The Ghost of Christmas Past represents a spirit that guides Scrooge to revisit and reflect on his past experiences and memories.""The Ghost of Christmas Past is one of the spirits in A Christmas Carol that shows Scrooge his past, prompting reflection and change.""The Ghost of Christmas Past represents a spirit that guides Scrooge to revisit and reflect on his past experiences and memories.""The Ghost of Christmas Past is one of the spirits in A Christmas Carol that shows Scrooge his past, prompting reflection and change.""The Ghost of Christmas Past represents a spirit that guides Scrooge to revisit and reflect on his past experiences and memories.""The Ghost of Christmas Past is one of the spirits in A Christmas Carol that shows Scrooge his past, prompting reflection and change.""The Ghost of Christmas Past represents a spirit that guides Scrooge to revisit and reflect on his past experiences and memories."', 'source_id': 'chunk-bb21d58d36c6306fd8810ddd51c4a971chunk-9e3921da66da5d761ab73cd849af6c43'} +2024-10-30 06:03:59,095 - lightrag - INFO - get_node:query:MATCH (n:`GHOST OF CHRISTMAS PRESENT`) RETURN n:result:"The Ghost of Christmas Present is a spirit that reveals to Scrooge the joys and struggles of the present Christmas season, emphasizing generosity and compassion.""The Ghost of Christmas Present is a spirit that represents generosity and joy, playing a pivotal role in teaching Scrooge valuable lessons about kindness and the Christmas spirit.""The Ghost of Christmas Present is a spirit that reveals the current struggles and joys of others, influencing Scrooge\'s perspective.""The Ghost of Christmas Present is a spirit that represents generosity and joy, playing a pivotal role in teaching Scrooge valuable lessons about kindness and the Christmas spirit.""The Ghost of Christmas Present is a spirit that reveals the current struggles and joys of others, influencing Scrooge\'s perspective.""The Ghost of Christmas Present is a spirit that represents generosity and joy, playing a pivotal role in teaching Scrooge valuable lessons about kindness and the Christmas spirit.""The Ghost of Christmas Present is a spirit that reveals the current struggles and joys of others, influencing Scrooge\'s perspective."', 'source_id': 'chunk-843b5b2f944c7413d9ca876e2e2f151fchunk-9e3921da66da5d761ab73cd849af6c43'}> +2024-10-30 06:03:59,234 - lightrag - INFO - _do_upsert:query: + MERGE (n:`GHOST OF CHRISTMAS PRESENT`) + SET n += $properties + RETURN n + :result:{'entity_type': '"EVENT"', 'description': '"The Ghost of Christmas Present is a spirit that embodies generosity and abundance, leading Scrooge to self-reflection and understanding.""The Ghost of Christmas Present is a spirit that reveals to Scrooge the joys and struggles of the present Christmas season, emphasizing generosity and compassion.""The Ghost of Christmas Present is a spirit that represents generosity and joy, playing a pivotal role in teaching Scrooge valuable lessons about kindness and the Christmas spirit.""The Ghost of Christmas Present is a spirit that reveals the current struggles and joys of others, influencing Scrooge\'s perspective.""The Ghost of Christmas Present is a spirit that represents generosity and joy, playing a pivotal role in teaching Scrooge valuable lessons about kindness and the Christmas spirit.""The Ghost of Christmas Present is a spirit that reveals the current struggles and joys of others, influencing Scrooge\'s perspective.""The Ghost of Christmas Present is a spirit that represents generosity and joy, playing a pivotal role in teaching Scrooge valuable lessons about kindness and the Christmas spirit.""The Ghost of Christmas Present is a spirit that reveals the current struggles and joys of others, influencing Scrooge\'s perspective.""The Ghost of Christmas Present is a spirit that represents generosity and joy, playing a pivotal role in teaching Scrooge valuable lessons about kindness and the Christmas spirit.""The Ghost of Christmas Present is a spirit that reveals the current struggles and joys of others, influencing Scrooge\'s perspective."', 'source_id': 'chunk-843b5b2f944c7413d9ca876e2e2f151fchunk-9e3921da66da5d761ab73cd849af6c43'} +2024-10-30 06:03:59,361 - lightrag - INFO - get_node:query:MATCH (n:`GHOST OF CHRISTMAS YET TO COME`) RETURN n:result:"The Ghost of Christmas Yet to Come is a foreboding spirit that shows Scrooge the potential consequences of his actions if he does not change.""The Ghost of Christmas Yet to Come is a foreboding spirit that shows Scrooge the potential consequences of his actions if he does not change.""The Ghost of Christmas Yet to Come is an apparition that presents Scrooge with a grim vision of his possible future if he doesn\'t change his ways.""The Ghost of Christmas Yet to Come is an event within the story that signifies Scrooge\'s confrontation with the future consequences of his actions.""The Ghost of Christmas Yet to Come signifies a pivotal moment where Scrooge is confronted with the potential futures resulting from his life choices.""The Ghost of Christmas Yet to Come signifies a pivotal moment where Scrooge is confronted with the potential futures resulting from his life choices.""The Ghost of Christmas Yet to Come signifies a pivotal moment where Scrooge is confronted with the potential futures resulting from his life choices."', 'source_id': 'chunk-02baee20cc9463dbe08170a8e1043e32chunk-9e3921da66da5d761ab73cd849af6c43'}> +2024-10-30 06:03:59,500 - lightrag - INFO - _do_upsert:query: + MERGE (n:`GHOST OF CHRISTMAS YET TO COME`) + SET n += $properties + RETURN n + :result:{'entity_type': '"EVENT"', 'description': '"The Ghost of Christmas Yet to Come is a foreboding spirit that shows Scrooge the potential consequences of his actions if he does not change.""The Ghost of Christmas Yet to Come is a foreboding spirit that shows Scrooge the potential consequences of his actions if he does not change.""The Ghost of Christmas Yet to Come is a foreboding spirit that shows Scrooge the potential consequences of his actions if he does not change.""The Ghost of Christmas Yet to Come is a foreboding spirit that shows Scrooge the potential consequences of his actions if he does not change.""The Ghost of Christmas Yet to Come is an apparition that presents Scrooge with a grim vision of his possible future if he doesn\'t change his ways.""The Ghost of Christmas Yet to Come is an event within the story that signifies Scrooge\'s confrontation with the future consequences of his actions.""The Ghost of Christmas Yet to Come signifies a pivotal moment where Scrooge is confronted with the potential futures resulting from his life choices.""The Ghost of Christmas Yet to Come signifies a pivotal moment where Scrooge is confronted with the potential futures resulting from his life choices.""The Ghost of Christmas Yet to Come signifies a pivotal moment where Scrooge is confronted with the potential futures resulting from his life choices.""The Ghost of Christmas Yet to Come signifies a pivotal moment where Scrooge is confronted with the potential futures resulting from his life choices."', 'source_id': 'chunk-9e3921da66da5d761ab73cd849af6c43chunk-02baee20cc9463dbe08170a8e1043e32'} +2024-10-30 06:03:59,632 - lightrag - INFO - get_node:query:MATCH (n:`FRED`) RETURN n:result:chunk-8f738cb25d60a7dab782162d9d0a25edchunk-94bea83e7153fc2064aa382b494936a1chunk-e7637ff18c5ded77a68cce0a87883fadchunk-9e3921da66da5d761ab73cd849af6c43'}> +2024-10-30 06:03:59,767 - lightrag - INFO - _do_upsert:query: + MERGE (n:`FRED`) + SET n += $properties + RETURN n + :result:{'entity_type': '"PERSON"', 'description': '"Fred is Ebenezer Scrooge\'s nephew, who embodies the spirit of Christmas and represents familial love and joy.""Fred is Scrooge\'s nephew who expresses admiration for Scrooge and raises a toast to his uncle during a Christmas gathering.""Fred is Scrooge\'s nephew, representing familial love and the joy of Christmas gatherings.""Fred is Scrooge\'s nephew, who invites Scrooge to dinner, emphasizing familial connections and the spirit of Christmas.""Fred is Scrooge\'s nephew, who is surprised by Scrooge\'s visit and is depicted as a friendly figure during the Christmas gathering."Fred is Ebenezer Scrooge\'s lively nephew, who embodies the spirit of Christmas and serves as a striking contrast to Scrooge\'s misanthropic nature. He represents familial love and joy, often inviting Scrooge to family gatherings and emphasizing the importance of familial connections during the holiday season. Fred expresses admiration for his uncle and raises a toast in his honor at Christmas gatherings, showcasing his warmth and festive spirit. His character highlights the warmth of family that Scrooge initially rejects, and he is depicted as a friendly figure who is surprised and pleased by Scrooge\'s unexpected visits. Overall, Fred exemplifies the joy and unity of Christmas, passionately inviting Scrooge to embrace the happiness associated with the holiday and family.', 'source_id': 'chunk-e7637ff18c5ded77a68cce0a87883fadchunk-94bea83e7153fc2064aa382b494936a1chunk-9e3921da66da5d761ab73cd849af6c43chunk-8f738cb25d60a7dab782162d9d0a25edchunk-89777b838d5447c7bd1ec11282c4ee89'} +2024-10-30 06:03:59,903 - lightrag - INFO - get_node:query:MATCH (n:`MRS. CRATCHIT`) RETURN n:result:"Mrs. Cratchit is Bob\'s wife, proud of her cooking skills, particularly the Christmas pudding, and plays a central role in the family\'s holiday celebration.""Mrs. Cratchit is Bob\'s wife, who expresses care for her family and shares in the emotional moments surrounding Tiny Tim\'s health.""Mrs. Cratchit is portrayed as outspoken and resentful towards Scrooge, yet ultimately participates in the Christmas festivities for her family\'s sake.""Mrs. Cratchit is the mother of the Cratchit family, depicted as nurturing and energetic, managing the Christmas preparations and caring for her children.""Mrs. Cratchit is the wife of Bob Cratchit, who supports her family and embodies warmth and resilience despite their struggles.""Mrs. Cratchit, the wife of Bob, is industrious and caring, focused on the well-being of her family."Mrs. Cratchit is depicted as Bob Cratchit\'s supportive and industrious wife, embodying warmth and resilience amidst their financial struggles. She plays a central role in managing the household and preparing festive meals, notably the Christmas pudding, showcasing her pride in family traditions and her cooking skills. Despite feeling strong disdain for Scrooge, she passionately engages in the Christmas festivities for the sake of her family, reflecting her nurturing nature and concern for her children\'s well-being, particularly in regard to Tiny Tim\'s health. Throughout the holiday preparations, Mrs. Cratchit displays her devotion and care, striving to create a joyous atmosphere despite their limited resources. She is portrayed as both outspoken and energetic, contributing to the emotional dynamics of the family while remaining focused on their shared experiences during the Christmas celebration.', 'source_id': 'chunk-19d72c57ae3408758b18d2568e86dc6bchunk-91572b3cd42786ba4cb2f180ca25cbf4chunk-503f0bfa5453467c7c61d160a3540ecachunk-1d4b58de5429cd1261370c231c8673e8chunk-b0f459f5af1c3a5e0b92cbe4ee48b77bchunk-7e2e7ebcc19a53b399dc03aded4743e7chunk-9e3921da66da5d761ab73cd849af6c43'}> +2024-10-30 06:03:59,905 - lightrag - DEBUG - Trigger summary: "MRS. CRATCHIT" +2024-10-30 06:04:00,005 - lightrag - INFO - get_node:query:MATCH (n:`BELINDA CRATCHIT`) RETURN n:result:"Belinda Cratchit is one of Bob Cratchit\'s daughters, assisting her mother in laying the dining cloth.""Belinda is a daughter of Bob and Mrs. Cratchit, representing the Cratchit family\'s love and unity during difficult times.""Belinda Cratchit is one of Bob\'s daughters, assisting in household tasks and showing a strong familial bond.""Belinda is the daughter of Bob and Mrs. Cratchit, representing the innocence and joyful spirit of the Cratchit family.""Belinda Cratchit is one of Bob\'s daughters, assisting in household tasks and showing a strong familial bond.""Belinda is the daughter of Bob and Mrs. Cratchit, representing the innocence and joyful spirit of the Cratchit family.""Belinda Cratchit is one of Bob\'s daughters, assisting in household tasks and showing a strong familial bond.""Belinda is the daughter of Bob and Mrs. Cratchit, representing the innocence and joyful spirit of the Cratchit family."', 'source_id': 'chunk-b0f459f5af1c3a5e0b92cbe4ee48b77bchunk-7e2e7ebcc19a53b399dc03aded4743e7chunk-9e3921da66da5d761ab73cd849af6c43'}> +2024-10-30 06:04:00,141 - lightrag - INFO - _do_upsert:query: + MERGE (n:`BELINDA CRATCHIT`) + SET n += $properties + RETURN n + :result:{'entity_type': '"PERSON"', 'description': '"Belinda Cratchit is another daughter in the Cratchit family, depicted as participating in the festive meal by sweetening the apple sauce, showcasing her involvement in family traditions.""Belinda Cratchit is one of Bob Cratchit\'s daughters, assisting her mother in laying the dining cloth.""Belinda is a daughter of Bob and Mrs. Cratchit, representing the Cratchit family\'s love and unity during difficult times.""Belinda Cratchit is one of Bob\'s daughters, assisting in household tasks and showing a strong familial bond.""Belinda is the daughter of Bob and Mrs. Cratchit, representing the innocence and joyful spirit of the Cratchit family.""Belinda Cratchit is one of Bob\'s daughters, assisting in household tasks and showing a strong familial bond.""Belinda is the daughter of Bob and Mrs. Cratchit, representing the innocence and joyful spirit of the Cratchit family.""Belinda Cratchit is one of Bob\'s daughters, assisting in household tasks and showing a strong familial bond.""Belinda is the daughter of Bob and Mrs. Cratchit, representing the innocence and joyful spirit of the Cratchit family.""Belinda Cratchit is one of Bob\'s daughters, assisting in household tasks and showing a strong familial bond.""Belinda is the daughter of Bob and Mrs. Cratchit, representing the innocence and joyful spirit of the Cratchit family."', 'source_id': 'chunk-7e2e7ebcc19a53b399dc03aded4743e7chunk-b0f459f5af1c3a5e0b92cbe4ee48b77bchunk-9e3921da66da5d761ab73cd849af6c43'} +2024-10-30 06:04:00,276 - lightrag - INFO - get_node:query:MATCH (n:`MARTHA CRATCHIT`) RETURN n:result:"Martha is another daughter of Bob and Mrs. Cratchit, who, like her sister Belinda, symbolizes the warmth and togetherness in the Cratchit household.""Martha Cratchit is a daughter of Bob and Mrs. Cratchit, working as an apprentice at a milliner\'s and looking forward to the holiday for a good rest.""Martha is another daughter of Bob and Mrs. Cratchit, who shows love and care for her family.""Martha Cratchit is a daughter of Bob and Mrs. Cratchit, working as an apprentice at a milliner\'s and looking forward to the holiday for a good rest.""Martha is another daughter of Bob and Mrs. Cratchit, who shows love and care for her family.""Martha Cratchit is a daughter of Bob and Mrs. Cratchit, working as an apprentice at a milliner\'s and looking forward to the holiday for a good rest.""Martha is another daughter of Bob and Mrs. Cratchit, who shows love and care for her family."', 'source_id': 'chunk-7e2e7ebcc19a53b399dc03aded4743e7chunk-19d72c57ae3408758b18d2568e86dc6bchunk-9e3921da66da5d761ab73cd849af6c43'}> +2024-10-30 06:04:00,418 - lightrag - INFO - _do_upsert:query: + MERGE (n:`MARTHA CRATCHIT`) + SET n += $properties + RETURN n + :result:{'entity_type': '"PERSON"', 'description': '"Martha Cratchit is a daughter in the Cratchit family who contributes to the household and shows affection for her family, particularly her father Bob.""Martha is another daughter of Bob and Mrs. Cratchit, who, like her sister Belinda, symbolizes the warmth and togetherness in the Cratchit household.""Martha Cratchit is a daughter of Bob and Mrs. Cratchit, working as an apprentice at a milliner\'s and looking forward to the holiday for a good rest.""Martha is another daughter of Bob and Mrs. Cratchit, who shows love and care for her family.""Martha Cratchit is a daughter of Bob and Mrs. Cratchit, working as an apprentice at a milliner\'s and looking forward to the holiday for a good rest.""Martha is another daughter of Bob and Mrs. Cratchit, who shows love and care for her family.""Martha Cratchit is a daughter of Bob and Mrs. Cratchit, working as an apprentice at a milliner\'s and looking forward to the holiday for a good rest.""Martha is another daughter of Bob and Mrs. Cratchit, who shows love and care for her family.""Martha Cratchit is a daughter of Bob and Mrs. Cratchit, working as an apprentice at a milliner\'s and looking forward to the holiday for a good rest.""Martha is another daughter of Bob and Mrs. Cratchit, who shows love and care for her family."', 'source_id': 'chunk-7e2e7ebcc19a53b399dc03aded4743e7chunk-19d72c57ae3408758b18d2568e86dc6bchunk-9e3921da66da5d761ab73cd849af6c43'} +2024-10-30 06:04:00,551 - lightrag - INFO - get_node:query:MATCH (n:`JOE`) RETURN n:result:"Joe is a marine-store dealer depicted as receiving stolen goods, illustrating the consequences of crime and the darker sides of society.""Joe is portrayed as a character engaged in a conversation about the deceased, displaying a mix of humor and practicality in dealing with the possessions of the dead.""Joe is a character who interacts with others, demonstrating a sense of curiosity and disbelief regarding certain situations and comments.""Joe is a marine-store dealer and receiver of stolen goods, indicative of the darker, more unscrupulous elements of society.""Joe is an old character who engages in conversation about the deceased man\'s belongings, revealing his pragmatic and somewhat cynical perspective on life and death.""Joe is a character who interacts with others, demonstrating a sense of curiosity and disbelief regarding certain situations and comments.""Joe is a marine-store dealer and receiver of stolen goods, indicative of the darker, more unscrupulous elements of society.""Joe is an old character who engages in conversation about the deceased man\'s belongings, revealing his pragmatic and somewhat cynical perspective on life and death.""Joe is a character who interacts with others, demonstrating a sense of curiosity and disbelief regarding certain situations and comments.""Joe is a marine-store dealer and receiver of stolen goods, indicative of the darker, more unscrupulous elements of society.""Joe is an old character who engages in conversation about the deceased man\'s belongings, revealing his pragmatic and somewhat cynical perspective on life and death."', 'source_id': 'chunk-89777b838d5447c7bd1ec11282c4ee89chunk-e1f29eeadc1d8ab46dc8a0bbd3c56b64chunk-9e3921da66da5d761ab73cd849af6c43'}> +2024-10-30 06:04:00,688 - lightrag - INFO - _do_upsert:query: + MERGE (n:`JOE`) + SET n += $properties + RETURN n + :result:{'entity_type': '"PERSON"', 'description': '"Joe is a character engaged in a conversation, displaying curiosity and a sense of humor regarding a situation related to \'bed-curtains\'.""Joe is a marine-store dealer depicted as receiving stolen goods, illustrating the consequences of crime and the darker sides of society.""Joe is portrayed as a character engaged in a conversation about the deceased, displaying a mix of humor and practicality in dealing with the possessions of the dead.""Joe is a character who interacts with others, demonstrating a sense of curiosity and disbelief regarding certain situations and comments.""Joe is a marine-store dealer and receiver of stolen goods, indicative of the darker, more unscrupulous elements of society.""Joe is an old character who engages in conversation about the deceased man\'s belongings, revealing his pragmatic and somewhat cynical perspective on life and death.""Joe is a character who interacts with others, demonstrating a sense of curiosity and disbelief regarding certain situations and comments.""Joe is a marine-store dealer and receiver of stolen goods, indicative of the darker, more unscrupulous elements of society.""Joe is an old character who engages in conversation about the deceased man\'s belongings, revealing his pragmatic and somewhat cynical perspective on life and death.""Joe is a character who interacts with others, demonstrating a sense of curiosity and disbelief regarding certain situations and comments.""Joe is a marine-store dealer and receiver of stolen goods, indicative of the darker, more unscrupulous elements of society.""Joe is an old character who engages in conversation about the deceased man\'s belongings, revealing his pragmatic and somewhat cynical perspective on life and death.""Joe is a character who interacts with others, demonstrating a sense of curiosity and disbelief regarding certain situations and comments.""Joe is a marine-store dealer and receiver of stolen goods, indicative of the darker, more unscrupulous elements of society.""Joe is an old character who engages in conversation about the deceased man\'s belongings, revealing his pragmatic and somewhat cynical perspective on life and death."', 'source_id': 'chunk-89777b838d5447c7bd1ec11282c4ee89chunk-e1f29eeadc1d8ab46dc8a0bbd3c56b64chunk-9e3921da66da5d761ab73cd849af6c43'} +2024-10-30 06:04:00,820 - lightrag - INFO - get_node:query:MATCH (n:`GHOST OF JACOB MARLEY`) RETURN n:result:"The Ghost of Jacob Marley is the specter of Scrooge\'s former business partner, who warns Scrooge to change his ways.""The Ghost of Jacob Marley is the specter of Scrooge\'s former business partner, who warns Scrooge to change his ways.""The Ghost of Jacob Marley is the specter of Scrooge\'s former business partner, who warns Scrooge to change his ways."', 'source_id': 'chunk-9e3921da66da5d761ab73cd849af6c43'}> +2024-10-30 06:04:00,955 - lightrag - INFO - _do_upsert:query: + MERGE (n:`GHOST OF JACOB MARLEY`) + SET n += $properties + RETURN n + :result:{'entity_type': '"EVENT"', 'description': '"The Ghost of Jacob Marley is Scrooge\'s deceased business partner who returns as a spirit to warn Scrooge about the consequences of his life choices and to encourage change.""The Ghost of Jacob Marley is the specter of Scrooge\'s former business partner, who warns Scrooge to change his ways.""The Ghost of Jacob Marley is the specter of Scrooge\'s former business partner, who warns Scrooge to change his ways.""The Ghost of Jacob Marley is the specter of Scrooge\'s former business partner, who warns Scrooge to change his ways.""The Ghost of Jacob Marley is the specter of Scrooge\'s former business partner, who warns Scrooge to change his ways."', 'source_id': 'chunk-9e3921da66da5d761ab73cd849af6c43'} +2024-10-30 06:04:01,087 - lightrag - INFO - get_node:query:MATCH (n:`FAN`) RETURN n:result:"Fan is Ebenezer Scrooge\'s sister, who represents love and kindness from Scrooge\'s past, influencing his character development.""Fan is Ebenezer Scrooge\'s sister, who represents love and kindness from Scrooge\'s past, influencing his character development.""Fan is Scrooge\'s caring sister who represents innocence and love, showcasing a more tender side of Scrooge’s past.""Fan is Scrooge\'s younger sister, who brings joy and the promise of a happier home, reflecting on their childhood relationship.""Fan is Scrooge\'s younger sister, who brings joy and the promise of a happier home, reflecting on their childhood relationship.""Fan is Scrooge\'s younger sister, who brings joy and the promise of a happier home, reflecting on their childhood relationship."', 'source_id': 'chunk-c6c248858d1b13ab7ee9ca13c1aeed6bchunk-9e3921da66da5d761ab73cd849af6c43'}> +2024-10-30 06:04:01,222 - lightrag - INFO - _do_upsert:query: + MERGE (n:`FAN`) + SET n += $properties + RETURN n + :result:{'entity_type': '"PERSON"', 'description': '"Fan is Ebenezer Scrooge\'s sister, who represents love and kindness from Scrooge\'s past, influencing his character development.""Fan is Ebenezer Scrooge\'s sister, who represents love and kindness from Scrooge\'s past, influencing his character development.""Fan is Ebenezer Scrooge\'s sister, who represents love and kindness from Scrooge\'s past, influencing his character development.""Fan is Ebenezer Scrooge\'s sister, who represents love and kindness from Scrooge\'s past, influencing his character development.""Fan is Scrooge\'s caring sister who represents innocence and love, showcasing a more tender side of Scrooge’s past.""Fan is Scrooge\'s younger sister, who brings joy and the promise of a happier home, reflecting on their childhood relationship.""Fan is Scrooge\'s younger sister, who brings joy and the promise of a happier home, reflecting on their childhood relationship.""Fan is Scrooge\'s younger sister, who brings joy and the promise of a happier home, reflecting on their childhood relationship.""Fan is Scrooge\'s younger sister, who brings joy and the promise of a happier home, reflecting on their childhood relationship."', 'source_id': 'chunk-9e3921da66da5d761ab73cd849af6c43chunk-c6c248858d1b13ab7ee9ca13c1aeed6b'} +2024-10-30 06:04:01,353 - lightrag - INFO - get_node:query:MATCH (n:`MRS. FEZZIWIG`) RETURN n:result:"Mrs. Fezziwig is the kind partner of Mr. Fezziwig, contributing to the festive atmosphere of their celebrations, emphasizing the importance of joyous gatherings.""Mrs. Fezziwig is the wife of Fezziwig, joining him in celebrations and dances, embodying warmth and partnership.""Mrs. Fezziwig is the wife of Fezziwig, participating in the dance, representing companionship and festive cheer.""Mrs. Fezziwig is noted for her smile and participation in the festivities, particularly in dancing with Fezziwig.""Mrs. Fezziwig is the partner of Mr. Fezziwig, known for her warmth and joyous nature during Christmas celebrations.""Mrs. Fezziwig partners with Fezziwig in hosting the domestic ball, contributing to the warmth and cheer of the event.""Mrs. Fezziwig is noted for her smile and participation in the festivities, particularly in dancing with Fezziwig.""Mrs. Fezziwig is the partner of Mr. Fezziwig, known for her warmth and joyous nature during Christmas celebrations.""Mrs. Fezziwig partners with Fezziwig in hosting the domestic ball, contributing to the warmth and cheer of the event.""Mrs. Fezziwig is noted for her smile and participation in the festivities, particularly in dancing with Fezziwig.""Mrs. Fezziwig is the partner of Mr. Fezziwig, known for her warmth and joyous nature during Christmas celebrations.""Mrs. Fezziwig partners with Fezziwig in hosting the domestic ball, contributing to the warmth and cheer of the event."', 'source_id': 'chunk-89777b838d5447c7bd1ec11282c4ee89chunk-8bc1edd983869352d14cf0886a9175a7chunk-b2f98bc7abb0c67d4c86055c7fd72218chunk-9e3921da66da5d761ab73cd849af6c43'}> +2024-10-30 06:04:01,489 - lightrag - INFO - _do_upsert:query: + MERGE (n:`MRS. FEZZIWIG`) + SET n += $properties + RETURN n + :result:{'entity_type': '"PERSON"', 'description': '"Mrs. Fezziwig is Fezziwig\'s partner at the domestic ball, contributing to the festive atmosphere alongside her husband.""Mrs. Fezziwig is the kind partner of Mr. Fezziwig, contributing to the festive atmosphere of their celebrations, emphasizing the importance of joyous gatherings.""Mrs. Fezziwig is the wife of Fezziwig, joining him in celebrations and dances, embodying warmth and partnership.""Mrs. Fezziwig is the wife of Fezziwig, participating in the dance, representing companionship and festive cheer.""Mrs. Fezziwig is noted for her smile and participation in the festivities, particularly in dancing with Fezziwig.""Mrs. Fezziwig is the partner of Mr. Fezziwig, known for her warmth and joyous nature during Christmas celebrations.""Mrs. Fezziwig partners with Fezziwig in hosting the domestic ball, contributing to the warmth and cheer of the event.""Mrs. Fezziwig is noted for her smile and participation in the festivities, particularly in dancing with Fezziwig.""Mrs. Fezziwig is the partner of Mr. Fezziwig, known for her warmth and joyous nature during Christmas celebrations.""Mrs. Fezziwig partners with Fezziwig in hosting the domestic ball, contributing to the warmth and cheer of the event.""Mrs. Fezziwig is noted for her smile and participation in the festivities, particularly in dancing with Fezziwig.""Mrs. Fezziwig is the partner of Mr. Fezziwig, known for her warmth and joyous nature during Christmas celebrations.""Mrs. Fezziwig partners with Fezziwig in hosting the domestic ball, contributing to the warmth and cheer of the event.""Mrs. Fezziwig is noted for her smile and participation in the festivities, particularly in dancing with Fezziwig.""Mrs. Fezziwig is the partner of Mr. Fezziwig, known for her warmth and joyous nature during Christmas celebrations.""Mrs. Fezziwig partners with Fezziwig in hosting the domestic ball, contributing to the warmth and cheer of the event."', 'source_id': 'chunk-b2f98bc7abb0c67d4c86055c7fd72218chunk-89777b838d5447c7bd1ec11282c4ee89chunk-9e3921da66da5d761ab73cd849af6c43chunk-8bc1edd983869352d14cf0886a9175a7'} +2024-10-30 06:04:01,620 - lightrag - INFO - get_node:query:MATCH (n:`FEZZIWIG`) RETURN n:result:chunk-8bc1edd983869352d14cf0886a9175a7chunk-b2f98bc7abb0c67d4c86055c7fd72218chunk-c6c248858d1b13ab7ee9ca13c1aeed6b'}> +2024-10-30 06:04:01,754 - lightrag - INFO - _do_upsert:query: + MERGE (n:`FEZZIWIG`) + SET n += $properties + RETURN n + :result:{'entity_type': '"PERSON"', 'description': '"Fezziwig is a character known for hosting a domestic ball that brings joy and merriment to the participants, showcasing his ability to create happiness.""Fezziwig is a joyful and lively character who dances with Mrs. Fezziwig, embodying the festive spirit of Christmas.""Fezziwig is presented as Scrooge\'s former employer, known for his jovial nature and generous spirit, who plays a significant role in Scrooge\'s memories.""Fezziwig is the owner of a business where festive celebrations take place, known for his jovial character and ability to create a lively atmosphere."Fezziwig is a character renowned for his role as a joyful and jovial employer who hosts domestic balls, creating an atmosphere filled with happiness and merriment for his participants. He is depicted as a kind-hearted figure who organizes lively Christmas festivities for his employees, exemplifying kindness and generosity. Fezziwig plays a significant role in the memories of Ebenezer Scrooge, being portrayed as his former employer who embodies the true spirit of Christmas.\n\nHe is often seen dancing with his wife, Mrs. Fezziwig, which further illustrates his cheerful nature and the festive spirit surrounding the celebrations. As the owner of a business where these vibrant festivities take place, Fezziwig is celebrated for his ability to create a lively and joyful environment, leaving a lasting impression on those who encounter him during the festive seasons. His portrayal encapsulates the essence of joy, generosity, and the festive spirit, making him a beloved character in the narrative of Scrooge\'s past.', 'source_id': 'chunk-89777b838d5447c7bd1ec11282c4ee89chunk-b2f98bc7abb0c67d4c86055c7fd72218chunk-8bc1edd983869352d14cf0886a9175a7chunk-c6c248858d1b13ab7ee9ca13c1aeed6b'} +2024-10-30 06:04:01,886 - lightrag - INFO - get_node:query:MATCH (n:`SCROOGE`) RETURN n:result:chunk-83ac129dc9b56f84c46760d153d68e93chunk-b0f459f5af1c3a5e0b92cbe4ee48b77bchunk-359187e7571bda4b0b08b2e0b6581e52chunk-89777b838d5447c7bd1ec11282c4ee89chunk-8590d9263cd2cd4fa583c432fc54e6c3chunk-02baee20cc9463dbe08170a8e1043e32chunk-74e2466de2f67fd710ef2f20c0a8d9e0chunk-5dac41b3f9eeaf794f0147400b1718cdchunk-91572b3cd42786ba4cb2f180ca25cbf4chunk-bb21d58d36c6306fd8810ddd51c4a971chunk-43c9bee23adfa77aa9dedd22401bba7dchunk-da2472b4ef2a535b62908f14d0fb0ca9chunk-f1a4fbcf1ed86864b9bfd5e8dba4c683chunk-1aa50206d02ed89418f65f97c6441d1cchunk-cb661c37436355ccec2769b1d0350c5fchunk-54bdd22db1f84a965b5f4c06c9216d8dchunk-19d72c57ae3408758b18d2568e86dc6bchunk-b2f98bc7abb0c67d4c86055c7fd72218chunk-e7637ff18c5ded77a68cce0a87883fadchunk-e1f29eeadc1d8ab46dc8a0bbd3c56b64chunk-90d5764e301321c087f5a8f78b73a145chunk-9c43dac2fcd5b578242d907ea6f8fc7bchunk-90b95db5c53e4364a6bee36b7aa4d70fchunk-99b0ec7f7e006561352b5d65e849611dchunk-773d0df1dd25c356f7b771d780583e09chunk-d9aac3484185ac66045df92214d245d5chunk-8f738cb25d60a7dab782162d9d0a25edchunk-94bea83e7153fc2064aa382b494936a1chunk-c7b10789a9cb0af6c553730b29bd9034chunk-c6c248858d1b13ab7ee9ca13c1aeed6bchunk-503f0bfa5453467c7c61d160a3540ecachunk-843b5b2f944c7413d9ca876e2e2f151f'}> +2024-10-30 06:04:01,890 - lightrag - DEBUG - Trigger summary: "SCROOGE" +2024-10-30 06:04:01,990 - lightrag - INFO - get_node:query:MATCH (n:`MARLEY`) RETURN n:result:chunk-d9aac3484185ac66045df92214d245d5chunk-5dac41b3f9eeaf794f0147400b1718cdchunk-9c43dac2fcd5b578242d907ea6f8fc7bchunk-843b5b2f944c7413d9ca876e2e2f151f'}> +2024-10-30 06:04:02,128 - lightrag - INFO - _do_upsert:query: + MERGE (n:`MARLEY`) + SET n += $properties + RETURN n + :result:{'entity_type': '"PERSON"', 'description': '"Marley is Scrooge\'s deceased business partner whose presence looms over the story, symbolizing the consequences of a life similar to Scrooge\'s.""Marley is Scrooge\'s deceased business partner, whose death is a significant event that sets the tone for the story.""Marley is Scrooge\'s deceased business partner, whose death is mentioned as impactful, having passed seven years prior to the events in the text.""Marley is depicted as a ghost, having a pigtail, waistcoat, tights, and boots, and is central to Scrooge\'s haunting experience."Marley is Scrooge\'s deceased business partner, whose presence looms over the narrative of the story, symbolizing the dire consequences of a life lived without compassion and care for others. His death serves as a significant event that sets the tone for the plot and reflects the overarching themes of regret and the supernatural.\n\nMarley passed away seven years prior to the events depicted, making his spectral appearance even more impactful. Despite being a character who is only mentioned throughout much of the story, his influence on Scrooge is profound, as reflections and memories of Marley shape Scrooge\'s perspective on life and relationships. This ghostly figure is depicted distinctly with a pigtail, waistcoat, tights, and boots, making him central to Scrooge\'s haunting experience.\n\nOverall, Marley represents the weight of past actions and the importance of empathy, acting as a harbinger of transformation for Scrooge. His ghostly manifestation evokes both fear and introspection, ultimately contributing to the moral lessons embedded in the tale.', 'source_id': 'chunk-9c43dac2fcd5b578242d907ea6f8fc7bchunk-843b5b2f944c7413d9ca876e2e2f151fchunk-5dac41b3f9eeaf794f0147400b1718cdchunk-d9aac3484185ac66045df92214d245d5chunk-89777b838d5447c7bd1ec11282c4ee89'} +2024-10-30 06:04:02,264 - lightrag - INFO - get_node:query:MATCH (n:`CHRISTMAS`) RETURN n:result:chunk-89777b838d5447c7bd1ec11282c4ee89chunk-8590d9263cd2cd4fa583c432fc54e6c3chunk-02baee20cc9463dbe08170a8e1043e32chunk-74e2466de2f67fd710ef2f20c0a8d9e0chunk-5dac41b3f9eeaf794f0147400b1718cdchunk-91572b3cd42786ba4cb2f180ca25cbf4chunk-43c9bee23adfa77aa9dedd22401bba7dchunk-da2472b4ef2a535b62908f14d0fb0ca9chunk-1d4b58de5429cd1261370c231c8673e8chunk-54bdd22db1f84a965b5f4c06c9216d8dchunk-e7637ff18c5ded77a68cce0a87883fadchunk-90d5764e301321c087f5a8f78b73a145chunk-99b0ec7f7e006561352b5d65e849611dchunk-773d0df1dd25c356f7b771d780583e09chunk-8f738cb25d60a7dab782162d9d0a25edchunk-94bea83e7153fc2064aa382b494936a1chunk-c6c248858d1b13ab7ee9ca13c1aeed6bchunk-503f0bfa5453467c7c61d160a3540eca'}> +2024-10-30 06:04:02,267 - lightrag - DEBUG - Trigger summary: "CHRISTMAS" +2024-10-30 06:04:02,367 - lightrag - INFO - get_node:query:MATCH (n:`THE WAREHOUSE`) RETURN n:result:"The Warehouse is the setting for Fezziwig\'s celebrations, transformed into a ballroom for the festivities.""The Warehouse is the place of business shared by Scrooge and Marley, a symbol of their partnership in life and business.""The Warehouse serves as the setting for Scrooge\'s memories of Fezziwig\'s jovial nature and the lively gatherings during his apprenticeship.""The Warehouse is the place of business shared by Scrooge and Marley, a symbol of their partnership in life and business.""The Warehouse serves as the setting for Scrooge\'s memories of Fezziwig\'s jovial nature and the lively gatherings during his apprenticeship.""The Warehouse is the place of business shared by Scrooge and Marley, a symbol of their partnership in life and business.""The Warehouse serves as the setting for Scrooge\'s memories of Fezziwig\'s jovial nature and the lively gatherings during his apprenticeship."', 'source_id': 'chunk-89777b838d5447c7bd1ec11282c4ee89chunk-8bc1edd983869352d14cf0886a9175a7chunk-c6c248858d1b13ab7ee9ca13c1aeed6b'}> +2024-10-30 06:04:02,503 - lightrag - INFO - _do_upsert:query: + MERGE (n:`THE WAREHOUSE`) + SET n += $properties + RETURN n + :result:{'entity_type': '"ORGANIZATION"', 'description': '"The Warehouse is a specific location where Scrooge had previously apprenticed and holds significant memories for him.""The Warehouse is the setting for Fezziwig\'s celebrations, transformed into a ballroom for the festivities.""The Warehouse is the place of business shared by Scrooge and Marley, a symbol of their partnership in life and business.""The Warehouse serves as the setting for Scrooge\'s memories of Fezziwig\'s jovial nature and the lively gatherings during his apprenticeship.""The Warehouse is the place of business shared by Scrooge and Marley, a symbol of their partnership in life and business.""The Warehouse serves as the setting for Scrooge\'s memories of Fezziwig\'s jovial nature and the lively gatherings during his apprenticeship.""The Warehouse is the place of business shared by Scrooge and Marley, a symbol of their partnership in life and business.""The Warehouse serves as the setting for Scrooge\'s memories of Fezziwig\'s jovial nature and the lively gatherings during his apprenticeship.""The Warehouse is the place of business shared by Scrooge and Marley, a symbol of their partnership in life and business.""The Warehouse serves as the setting for Scrooge\'s memories of Fezziwig\'s jovial nature and the lively gatherings during his apprenticeship."', 'source_id': 'chunk-89777b838d5447c7bd1ec11282c4ee89chunk-8bc1edd983869352d14cf0886a9175a7chunk-c6c248858d1b13ab7ee9ca13c1aeed6b'} +2024-10-30 06:04:02,637 - lightrag - INFO - get_node:query:MATCH (n:`THE WOMAN`) RETURN n:result:"The Woman is a character involved in the dialogue about the deceased\'s belongings, showing a carefree attitude towards their former owner.""The Woman is a character who enters the shop with a heavy bundle and demonstrates a bold and defiant demeanor, eager to take part in the conversation about the deceased\'s belongings.""The Woman engages in conversation with Joe, providing light-hearted responses and laughing at the absurdity of their discussions.""The Woman is an unknown character, bold and defiant, who instigates the gathering and discusses the deceased with a lack of reverence.""The Woman is another character who interacts with Joe, demonstrating a lack of reverence for the deceased and a focus on material gain.""The Woman engages in conversation with Joe, providing light-hearted responses and laughing at the absurdity of their discussions.""The Woman is an unknown character, bold and defiant, who instigates the gathering and discusses the deceased with a lack of reverence.""The Woman is another character who interacts with Joe, demonstrating a lack of reverence for the deceased and a focus on material gain.""The Woman engages in conversation with Joe, providing light-hearted responses and laughing at the absurdity of their discussions.""The Woman is an unknown character, bold and defiant, who instigates the gathering and discusses the deceased with a lack of reverence.""The Woman is another character who interacts with Joe, demonstrating a lack of reverence for the deceased and a focus on material gain."', 'source_id': 'chunk-89777b838d5447c7bd1ec11282c4ee89chunk-60fc063c79fc0d4acc91a57e79de04dcchunk-e1f29eeadc1d8ab46dc8a0bbd3c56b64'}> +2024-10-30 06:04:02,771 - lightrag - INFO - _do_upsert:query: + MERGE (n:`THE WOMAN`) + SET n += $properties + RETURN n + :result:{'entity_type': '"PERSON"', 'description': '"The Woman engages in a humorous exchange with Joe about taking down bed-curtains, showcasing lively communication among characters.""The Woman is a character involved in the dialogue about the deceased\'s belongings, showing a carefree attitude towards their former owner.""The Woman is a character who enters the shop with a heavy bundle and demonstrates a bold and defiant demeanor, eager to take part in the conversation about the deceased\'s belongings.""The Woman engages in conversation with Joe, providing light-hearted responses and laughing at the absurdity of their discussions.""The Woman is an unknown character, bold and defiant, who instigates the gathering and discusses the deceased with a lack of reverence.""The Woman is another character who interacts with Joe, demonstrating a lack of reverence for the deceased and a focus on material gain.""The Woman engages in conversation with Joe, providing light-hearted responses and laughing at the absurdity of their discussions.""The Woman is an unknown character, bold and defiant, who instigates the gathering and discusses the deceased with a lack of reverence.""The Woman is another character who interacts with Joe, demonstrating a lack of reverence for the deceased and a focus on material gain.""The Woman engages in conversation with Joe, providing light-hearted responses and laughing at the absurdity of their discussions.""The Woman is an unknown character, bold and defiant, who instigates the gathering and discusses the deceased with a lack of reverence.""The Woman is another character who interacts with Joe, demonstrating a lack of reverence for the deceased and a focus on material gain.""The Woman engages in conversation with Joe, providing light-hearted responses and laughing at the absurdity of their discussions.""The Woman is an unknown character, bold and defiant, who instigates the gathering and discusses the deceased with a lack of reverence.""The Woman is another character who interacts with Joe, demonstrating a lack of reverence for the deceased and a focus on material gain."', 'source_id': 'chunk-89777b838d5447c7bd1ec11282c4ee89chunk-e1f29eeadc1d8ab46dc8a0bbd3c56b64chunk-60fc063c79fc0d4acc91a57e79de04dc'} +2024-10-30 06:04:02,907 - lightrag - INFO - get_node:query:MATCH (n:`TIM`) RETURN n:result: +2024-10-30 06:04:03,044 - lightrag - INFO - _do_upsert:query: + MERGE (n:`TIM`) + SET n += $properties + RETURN n + :result:{'entity_type': '"PERSON"', 'description': '"Tim is mentioned as someone important to Scrooge, indicating familial ties and possibly evoking sympathy and regret from Scrooge\'s character."', 'source_id': 'chunk-89777b838d5447c7bd1ec11282c4ee89'} +2024-10-30 06:04:03,176 - lightrag - INFO - get_node:query:MATCH (n:`THE LACE TUCKER`) RETURN n:result:"The Lace Tucker is a fashionable accessory worn by one of Scrooge\'s Niece\'s sisters, representing the social settings and themes of appearance in the gathering.""The Lace Tucker is a fashionable accessory worn by one of Scrooge\'s Niece\'s sisters, representing the social settings and themes of appearance in the gathering.""The Lace Tucker is a small event within the text, illustrating moments of humor and social interactions among characters.""The Lace Tucker is a small event within the text, illustrating moments of humor and social interactions among characters.""The Lace Tucker is a small event within the text, illustrating moments of humor and social interactions among characters."', 'source_id': 'chunk-89777b838d5447c7bd1ec11282c4ee89chunk-773d0df1dd25c356f7b771d780583e09'}> +2024-10-30 06:04:03,313 - lightrag - INFO - _do_upsert:query: + MERGE (n:`THE LACE TUCKER`) + SET n += $properties + RETURN n + :result:{'entity_type': '"EVENT"', 'description': '"The Lace Tucker is a fashionable accessory worn by one of Scrooge\'s Niece\'s sisters, representing the social settings and themes of appearance in the gathering.""The Lace Tucker is a fashionable accessory worn by one of Scrooge\'s Niece\'s sisters, representing the social settings and themes of appearance in the gathering.""The Lace Tucker is a fashionable accessory worn by one of Scrooge\'s Niece\'s sisters, representing the social settings and themes of appearance in the gathering.""The Lace Tucker is a fashionable accessory worn by one of Scrooge\'s Niece\'s sisters, representing the social settings and themes of appearance in the gathering.""The Lace Tucker is a small event within the text, illustrating moments of humor and social interactions among characters.""The Lace Tucker is a small event within the text, illustrating moments of humor and social interactions among characters.""The Lace Tucker is a small event within the text, illustrating moments of humor and social interactions among characters.""The Lace Tucker is a small event within the text, illustrating moments of humor and social interactions among characters."', 'source_id': 'chunk-89777b838d5447c7bd1ec11282c4ee89chunk-773d0df1dd25c356f7b771d780583e09'} +2024-10-30 06:04:03,444 - lightrag - INFO - get_node:query:MATCH (n:`OLD SCROOGE`) RETURN n:result: +2024-10-30 06:04:03,580 - lightrag - INFO - _do_upsert:query: + MERGE (n:`OLD SCROOGE`) + SET n += $properties + RETURN n + :result:{'entity_type': '"PERSON"', 'description': '"Old Scrooge represents an earlier version of Scrooge, depicted in memories or recollections and emphasizing his character\'s history."', 'source_id': 'chunk-89777b838d5447c7bd1ec11282c4ee89'} +2024-10-30 06:04:03,710 - lightrag - INFO - get_node:query:MATCH (n:`THE FUNERAL`) RETURN n:result:"The Funeral is a context for conversation among characters, reflecting on mortality and social connections surrounding death.""The Funeral is a context for conversation among characters, reflecting on mortality and social connections surrounding death.""The Funeral of Marley is a significant event that highlights Scrooge\'s relationship with Marley and sets the tone for their partnership and Scrooge\'s eventual path.""The Funeral serves as a significant event reflecting on Marley\'s death, noted for its business-like atmosphere as perceived by Scrooge.""The Funeral of Marley is a significant event that highlights Scrooge\'s relationship with Marley and sets the tone for their partnership and Scrooge\'s eventual path.""The Funeral of Marley is a significant event that highlights Scrooge\'s relationship with Marley and sets the tone for their partnership and Scrooge\'s eventual path."', 'source_id': 'chunk-89777b838d5447c7bd1ec11282c4ee89chunk-f1a4fbcf1ed86864b9bfd5e8dba4c683'}> +2024-10-30 06:04:03,844 - lightrag - INFO - _do_upsert:query: + MERGE (n:`THE FUNERAL`) + SET n += $properties + RETURN n + :result:{'entity_type': '"EVENT"', 'description': '"The Funeral is a context for conversation among characters, reflecting on mortality and social connections surrounding death.""The Funeral is a context for conversation among characters, reflecting on mortality and social connections surrounding death.""The Funeral is a context for conversation among characters, reflecting on mortality and social connections surrounding death.""The Funeral is a context for conversation among characters, reflecting on mortality and social connections surrounding death.""The Funeral of Marley is a significant event that highlights Scrooge\'s relationship with Marley and sets the tone for their partnership and Scrooge\'s eventual path.""The Funeral serves as a significant event reflecting on Marley\'s death, noted for its business-like atmosphere as perceived by Scrooge.""The Funeral of Marley is a significant event that highlights Scrooge\'s relationship with Marley and sets the tone for their partnership and Scrooge\'s eventual path.""The Funeral of Marley is a significant event that highlights Scrooge\'s relationship with Marley and sets the tone for their partnership and Scrooge\'s eventual path.""The Funeral of Marley is a significant event that highlights Scrooge\'s relationship with Marley and sets the tone for their partnership and Scrooge\'s eventual path."', 'source_id': 'chunk-f1a4fbcf1ed86864b9bfd5e8dba4c683chunk-89777b838d5447c7bd1ec11282c4ee89'} +2024-10-30 06:04:03,974 - lightrag - INFO - get_node:query:MATCH (n:`SCROOGE'S NEPHEW`) RETURN n:result:"Scrooge\'s Nephew is a cheerful and optimistic character who challenges Scrooge\'s gloomy outlook on Christmas and life.""Scrooge\'s Nephew is a cheerful and optimistic character who challenges Scrooge\'s gloomy outlook on Christmas and life.""Scrooge\'s Nephew is a cheerful and optimistic character who represents the spirit of Christmas, opposing Scrooge\'s views.""Scrooge\'s Nephew is characterized by his contagious laughter and good humor, contrasting with his uncle\'s miserliness.""Scrooge\'s Nephew is portrayed as optimistic about Christmas, emphasizing its positive qualities despite Scrooge\'s negativity.""Scrooge\'s nephew is a character present at the gathering who actively participates in the games and engages with his family.""Scrooge\'s Nephew is a jovial character known for his infectious laughter and optimistic attitude towards Christmas, finding humor in Scrooge\'s ill temper and wealth.""Scrooge\'s Nephew is portrayed as warm-hearted and attempts to engage his uncle in the spirit of Christmas, despite Scrooge\'s rebuff.""Scrooge\'s nephew is portrayed as a joyful character who embodies laughter and good-humor, contrasting with Scrooge\'s initial persona.""Scrooge\'s Nephew is a jovial character known for his infectious laughter and optimistic attitude towards Christmas, finding humor in Scrooge\'s ill temper and wealth.""Scrooge\'s Nephew is portrayed as warm-hearted and attempts to engage his uncle in the spirit of Christmas, despite Scrooge\'s rebuff.""Scrooge\'s nephew is portrayed as a joyful character who embodies laughter and good-humor, contrasting with Scrooge\'s initial persona.""Scrooge\'s Nephew is a jovial character known for his infectious laughter and optimistic attitude towards Christmas, finding humor in Scrooge\'s ill temper and wealth.""Scrooge\'s Nephew is portrayed as warm-hearted and attempts to engage his uncle in the spirit of Christmas, despite Scrooge\'s rebuff.""Scrooge\'s nephew is portrayed as a joyful character who embodies laughter and good-humor, contrasting with Scrooge\'s initial persona."', 'source_id': 'chunk-91614df5cb74cbe5e109a338a82041e9chunk-74e2466de2f67fd710ef2f20c0a8d9e0chunk-5dac41b3f9eeaf794f0147400b1718cdchunk-43c9bee23adfa77aa9dedd22401bba7dchunk-773d0df1dd25c356f7b771d780583e09'}> +2024-10-30 06:04:03,976 - lightrag - DEBUG - Trigger summary: "SCROOGE'S NEPHEW" +2024-10-30 06:04:04,076 - lightrag - INFO - get_node:query:MATCH (n:`COUNTING-HOUSE`) RETURN n:result:"Scrooge\'s counting-house is the place of his work, characterized by coldness and a lack of warmth or holiday spirit.""Scrooge\'s counting-house is the place of his work, characterized by coldness and a lack of warmth or holiday spirit.""The Counting-House is a physical space representing the business environment where Scrooge and Marley engaged in trade but also symbolizes their limited worldview.""The Counting-house is the place where Scrooge conducted his business and represents the limitations of his previous life.""The Counting-house is the place where Scrooge conducted his business and represents the limitations of his previous life.""The Counting-house is the place where Scrooge conducted his business and represents the limitations of his previous life."', 'source_id': 'chunk-74e2466de2f67fd710ef2f20c0a8d9e0chunk-359187e7571bda4b0b08b2e0b6581e52'}> +2024-10-30 06:04:04,211 - lightrag - INFO - _do_upsert:query: + MERGE (n:`COUNTING-HOUSE`) + SET n += $properties + RETURN n + :result:{'entity_type': '"LOCATION"', 'description': '"Scrooge\'s counting-house is the place of his work, characterized by coldness and a lack of warmth or holiday spirit.""Scrooge\'s counting-house is the place of his work, characterized by coldness and a lack of warmth or holiday spirit.""Scrooge\'s counting-house is the place of his work, characterized by coldness and a lack of warmth or holiday spirit.""Scrooge\'s counting-house is the place of his work, characterized by coldness and a lack of warmth or holiday spirit.""The Counting-House is a physical space representing the business environment where Scrooge and Marley engaged in trade but also symbolizes their limited worldview.""The Counting-house is the place where Scrooge conducted his business and represents the limitations of his previous life.""The Counting-house is the place where Scrooge conducted his business and represents the limitations of his previous life.""The Counting-house is the place where Scrooge conducted his business and represents the limitations of his previous life.""The Counting-house is the place where Scrooge conducted his business and represents the limitations of his previous life."', 'source_id': 'chunk-74e2466de2f67fd710ef2f20c0a8d9e0chunk-359187e7571bda4b0b08b2e0b6581e52'} +2024-10-30 06:04:04,343 - lightrag - INFO - get_node:query:MATCH (n:`BEGGARS`) RETURN n:result: +2024-10-30 06:04:04,476 - lightrag - INFO - _do_upsert:query: + MERGE (n:`BEGGARS`) + SET n += $properties + RETURN n + :result:{'entity_type': '"PERSON"', 'description': '"Beggars are individuals who implore Scrooge for charity, symbolizing the lack of compassion and generosity in his character."', 'source_id': 'chunk-74e2466de2f67fd710ef2f20c0a8d9e0'} +2024-10-30 06:04:04,603 - lightrag - INFO - get_node:query:MATCH (n:`CHILDREN`) RETURN n:result:"Children represent innocence and joy, often seen as seeking affection and connection with adults like Scrooge.""Children represent innocence and joy, often seen as seeking affection and connection with adults like Scrooge.""The Children represent innocence and purity, highlighted as victims of societal neglect and calling for compassion from Scrooge.""The Children represent the joyful, carefree aspects of Scrooge\'s past, embodying happiness and the innocence of youth that he has long forgotten.""The Children represent innocence and the impact of societal neglect, embodied by Ignorance and Want as personified by the Spirit.""The Children represent innocence and the impact of societal neglect, embodied by Ignorance and Want as personified by the Spirit.""The Children represent innocence and the impact of societal neglect, embodied by Ignorance and Want as personified by the Spirit."', 'source_id': 'chunk-bb21d58d36c6306fd8810ddd51c4a971chunk-e7637ff18c5ded77a68cce0a87883fadchunk-74e2466de2f67fd710ef2f20c0a8d9e0'}> +2024-10-30 06:04:04,735 - lightrag - INFO - _do_upsert:query: + MERGE (n:`CHILDREN`) + SET n += $properties + RETURN n + :result:{'entity_type': '"PERSON"', 'description': '"Children represent innocence and joy, often seen as seeking affection and connection with adults like Scrooge.""Children represent innocence and joy, often seen as seeking affection and connection with adults like Scrooge.""Children represent innocence and joy, often seen as seeking affection and connection with adults like Scrooge.""Children represent innocence and joy, often seen as seeking affection and connection with adults like Scrooge.""The Children represent innocence and purity, highlighted as victims of societal neglect and calling for compassion from Scrooge.""The Children represent the joyful, carefree aspects of Scrooge\'s past, embodying happiness and the innocence of youth that he has long forgotten.""The Children represent innocence and the impact of societal neglect, embodied by Ignorance and Want as personified by the Spirit.""The Children represent innocence and the impact of societal neglect, embodied by Ignorance and Want as personified by the Spirit.""The Children represent innocence and the impact of societal neglect, embodied by Ignorance and Want as personified by the Spirit.""The Children represent innocence and the impact of societal neglect, embodied by Ignorance and Want as personified by the Spirit."', 'source_id': 'chunk-bb21d58d36c6306fd8810ddd51c4a971chunk-74e2466de2f67fd710ef2f20c0a8d9e0chunk-e7637ff18c5ded77a68cce0a87883fad'} +2024-10-30 06:04:04,867 - lightrag - INFO - get_node:query:MATCH (n:`COLD WEATHER`) RETURN n:result:"Cold Weather sets the bleak and unforgiving atmosphere, reflecting Scrooge’s own personality and state of mind.""Cold Weather sets the bleak and unforgiving atmosphere, reflecting Scrooge’s own personality and state of mind.""Cold Weather sets the bleak and unforgiving atmosphere, reflecting Scrooge’s own personality and state of mind."', 'source_id': 'chunk-f1a4fbcf1ed86864b9bfd5e8dba4c683chunk-74e2466de2f67fd710ef2f20c0a8d9e0'}> +2024-10-30 06:04:05,003 - lightrag - INFO - _do_upsert:query: + MERGE (n:`COLD WEATHER`) + SET n += $properties + RETURN n + :result:{'entity_type': '"GEO"', 'description': '"Cold Weather is noted in the conversation between the businessmen, serving as a backdrop to their trivial interactions.""Cold Weather sets the bleak and unforgiving atmosphere, reflecting Scrooge’s own personality and state of mind.""Cold Weather sets the bleak and unforgiving atmosphere, reflecting Scrooge’s own personality and state of mind.""Cold Weather sets the bleak and unforgiving atmosphere, reflecting Scrooge’s own personality and state of mind.""Cold Weather sets the bleak and unforgiving atmosphere, reflecting Scrooge’s own personality and state of mind."', 'source_id': 'chunk-f1a4fbcf1ed86864b9bfd5e8dba4c683chunk-74e2466de2f67fd710ef2f20c0a8d9e0'} +2024-10-30 06:04:05,132 - lightrag - INFO - get_node:query:MATCH (n:`FOG`) RETURN n:result:"Fog is a weather phenomenon that adds to the bleak atmosphere, reflecting the obscurity and confusion in Scrooge\'s life.""Fog represents the obscured visibility and confusion in Scrooge\'s surroundings, enhancing the atmosphere of uncertainty and apprehension.""Fog represents the obscurity and isolation in the environment, mirroring Scrooge’s emotional distance and isolation from society.""Fog represents the obscured visibility and confusion in Scrooge\'s surroundings, enhancing the atmosphere of uncertainty and apprehension.""Fog represents the obscurity and isolation in the environment, mirroring Scrooge’s emotional distance and isolation from society.""Fog represents the obscured visibility and confusion in Scrooge\'s surroundings, enhancing the atmosphere of uncertainty and apprehension.""Fog represents the obscurity and isolation in the environment, mirroring Scrooge’s emotional distance and isolation from society."', 'source_id': 'chunk-d9aac3484185ac66045df92214d245d5chunk-c7b10789a9cb0af6c553730b29bd9034chunk-74e2466de2f67fd710ef2f20c0a8d9e0'}> +2024-10-30 06:04:05,266 - lightrag - INFO - _do_upsert:query: + MERGE (n:`FOG`) + SET n += $properties + RETURN n + :result:{'entity_type': '"GEO"', 'description': '"Fog is a weather condition mentioned that enhances the dreary atmosphere surrounding Scrooge\'s home and workplace.""Fog is a weather phenomenon that adds to the bleak atmosphere, reflecting the obscurity and confusion in Scrooge\'s life.""Fog represents the obscured visibility and confusion in Scrooge\'s surroundings, enhancing the atmosphere of uncertainty and apprehension.""Fog represents the obscurity and isolation in the environment, mirroring Scrooge’s emotional distance and isolation from society.""Fog represents the obscured visibility and confusion in Scrooge\'s surroundings, enhancing the atmosphere of uncertainty and apprehension.""Fog represents the obscurity and isolation in the environment, mirroring Scrooge’s emotional distance and isolation from society.""Fog represents the obscured visibility and confusion in Scrooge\'s surroundings, enhancing the atmosphere of uncertainty and apprehension.""Fog represents the obscurity and isolation in the environment, mirroring Scrooge’s emotional distance and isolation from society.""Fog represents the obscured visibility and confusion in Scrooge\'s surroundings, enhancing the atmosphere of uncertainty and apprehension.""Fog represents the obscurity and isolation in the environment, mirroring Scrooge’s emotional distance and isolation from society."', 'source_id': 'chunk-74e2466de2f67fd710ef2f20c0a8d9e0chunk-c7b10789a9cb0af6c553730b29bd9034chunk-d9aac3484185ac66045df92214d245d5'} +2024-10-30 06:04:05,395 - lightrag - INFO - get_node:query:MATCH (n:`COURT`) RETURN n:result: +2024-10-30 06:04:05,526 - lightrag - INFO - _do_upsert:query: + MERGE (n:`COURT`) + SET n += $properties + RETURN n + :result:{'entity_type': '"GEO"', 'description': '"The Court is a location described as a space outside Scrooge\'s office where people pass by, emphasizing the contrast between Scrooge\'s inside world and the outside social interactions."', 'source_id': 'chunk-74e2466de2f67fd710ef2f20c0a8d9e0'} +2024-10-30 06:04:05,656 - lightrag - INFO - get_node:query:MATCH (n:`SCROOGE AND MARLEY'S`) RETURN n:result: +2024-10-30 06:04:05,792 - lightrag - INFO - _do_upsert:query: + MERGE (n:`SCROOGE AND MARLEY'S`) + SET n += $properties + RETURN n + :result:{'entity_type': '"ORGANIZATION"', 'description': '"Scrooge and Marley\'s is the name of the business run by Scrooge, signifying a partnership that existed before Marley’s death."', 'source_id': 'chunk-5dac41b3f9eeaf794f0147400b1718cd'} +2024-10-30 06:04:05,924 - lightrag - INFO - get_node:query:MATCH (n:`CLERK`) RETURN n:result:"The Clerk is a minor character who provides a contrast to Scrooge\'s character, expressing warmth and kindness during the holiday season.""The Clerk is a minor character who provides a contrast to Scrooge\'s character, expressing warmth and kindness during the holiday season.""The Clerk is an unnamed character who serves Scrooge, exhibiting a hopeful disposition despite Scrooge\'s ill-tempered management."', 'source_id': 'chunk-d9aac3484185ac66045df92214d245d5chunk-5dac41b3f9eeaf794f0147400b1718cd'}> +2024-10-30 06:04:06,058 - lightrag - INFO - _do_upsert:query: + MERGE (n:`CLERK`) + SET n += $properties + RETURN n + :result:{'entity_type': '"PERSON"', 'description': '"The Clerk is a minor character who provides a contrast to Scrooge\'s character, expressing warmth and kindness during the holiday season.""The Clerk is a minor character who provides a contrast to Scrooge\'s character, expressing warmth and kindness during the holiday season.""The Clerk is a minor character who provides a contrast to Scrooge\'s character, expressing warmth and kindness during the holiday season.""The Clerk is a minor character who provides a contrast to Scrooge\'s character, expressing warmth and kindness during the holiday season.""The Clerk is an unnamed character who serves Scrooge, exhibiting a hopeful disposition despite Scrooge\'s ill-tempered management."', 'source_id': 'chunk-5dac41b3f9eeaf794f0147400b1718cdchunk-d9aac3484185ac66045df92214d245d5'} +2024-10-30 06:04:06,192 - lightrag - INFO - get_node:query:MATCH (n:`THE GENTLEMEN`) RETURN n:result: +2024-10-30 06:04:06,344 - lightrag - INFO - _do_upsert:query: + MERGE (n:`THE GENTLEMEN`) + SET n += $properties + RETURN n + :result:{'entity_type': '"ORGANIZATION"', 'description': '"The Gentlemen are portrayed as representatives who arrive at Scrooge\'s office to collect donations for the poor during Christmas."', 'source_id': 'chunk-5dac41b3f9eeaf794f0147400b1718cd'} +2024-10-30 06:04:06,472 - lightrag - INFO - get_node:query:MATCH (n:`POOR AND DESTITUTE`) RETURN n:result: +2024-10-30 06:04:06,606 - lightrag - INFO - _do_upsert:query: + MERGE (n:`POOR AND DESTITUTE`) + SET n += $properties + RETURN n + :result:{'entity_type': '"CONCEPT"', 'description': '"The Poor and Destitute refer to those in need, highlighting the themes of charity and social responsibility that are emphasized during the Christmas season."', 'source_id': 'chunk-5dac41b3f9eeaf794f0147400b1718cd'} +2024-10-30 06:04:06,735 - lightrag - INFO - get_node:query:MATCH (n:`CHRISTMAS-TIME`) RETURN n:result:"Christmas-Time refers to the period surrounding Christmas, laden with connotations of joy, generosity, and family gatherings, which Scrooge vehemently criticizes.""Christmas-Time refers to the period surrounding Christmas, laden with connotations of joy, generosity, and family gatherings, which Scrooge vehemently criticizes.""Christmas-time is characterized as a period filled with festivities, joy, and community engagement, which Scrooge regards cynically.""Christmas-time represents the festive season, a recurring theme that evokes memories and emotions in Scrooge’s reflections.""Christmas-time serves as a backdrop for the narrative, emphasizing themes of reflection, mortality, and social interactions.""Christmas-time symbolizes a period of joy and reunion, characterized by scenes of celebration and warmth in the story.""Christmas-time symbolizes a period of joy and reunion, characterized by scenes of celebration and warmth in the story.""Christmas-time symbolizes a period of joy and reunion, characterized by scenes of celebration and warmth in the story."', 'source_id': 'chunk-f1a4fbcf1ed86864b9bfd5e8dba4c683chunk-c6c248858d1b13ab7ee9ca13c1aeed6bchunk-5dac41b3f9eeaf794f0147400b1718cd'}> +2024-10-30 06:04:06,875 - lightrag - INFO - _do_upsert:query: + MERGE (n:`CHRISTMAS-TIME`) + SET n += $properties + RETURN n + :result:{'entity_type': '"EVENT"', 'description': '"Christmas-Time refers to the period surrounding Christmas, laden with connotations of joy, generosity, and family gatherings, which Scrooge vehemently criticizes.""Christmas-Time refers to the period surrounding Christmas, laden with connotations of joy, generosity, and family gatherings, which Scrooge vehemently criticizes.""Christmas-Time refers to the period surrounding Christmas, laden with connotations of joy, generosity, and family gatherings, which Scrooge vehemently criticizes.""Christmas-Time refers to the period surrounding Christmas, laden with connotations of joy, generosity, and family gatherings, which Scrooge vehemently criticizes.""Christmas-time is characterized as a period filled with festivities, joy, and community engagement, which Scrooge regards cynically.""Christmas-time represents the festive season, a recurring theme that evokes memories and emotions in Scrooge’s reflections.""Christmas-time serves as a backdrop for the narrative, emphasizing themes of reflection, mortality, and social interactions.""Christmas-time symbolizes a period of joy and reunion, characterized by scenes of celebration and warmth in the story.""Christmas-time symbolizes a period of joy and reunion, characterized by scenes of celebration and warmth in the story.""Christmas-time symbolizes a period of joy and reunion, characterized by scenes of celebration and warmth in the story.""Christmas-time symbolizes a period of joy and reunion, characterized by scenes of celebration and warmth in the story."', 'source_id': 'chunk-f1a4fbcf1ed86864b9bfd5e8dba4c683chunk-5dac41b3f9eeaf794f0147400b1718cdchunk-c6c248858d1b13ab7ee9ca13c1aeed6b'} +2024-10-30 06:04:07,005 - lightrag - INFO - get_node:query:MATCH (n:`BEDLAM`) RETURN n:result:"Bedlam is referenced as a metaphorical expression of madness, illustrating Scrooge\'s disdain for cheerful attitudes he finds absurd.""Bedlam is referenced as a metaphorical expression of madness, illustrating Scrooge\'s disdain for cheerful attitudes he finds absurd.""Bedlam is referenced as a metaphorical place for madness, illustrating Scrooge\'s disdain for the cheerful nature of Christmas and his sense of isolation."', 'source_id': 'chunk-5dac41b3f9eeaf794f0147400b1718cd'}> +2024-10-30 06:04:07,139 - lightrag - INFO - _do_upsert:query: + MERGE (n:`BEDLAM`) + SET n += $properties + RETURN n + :result:{'entity_type': '"GEO"', 'description': '"Bedlam is referenced as a metaphorical expression of madness, illustrating Scrooge\'s disdain for cheerful attitudes he finds absurd.""Bedlam is referenced as a metaphorical expression of madness, illustrating Scrooge\'s disdain for cheerful attitudes he finds absurd.""Bedlam is referenced as a metaphorical expression of madness, illustrating Scrooge\'s disdain for cheerful attitudes he finds absurd.""Bedlam is referenced as a metaphorical expression of madness, illustrating Scrooge\'s disdain for cheerful attitudes he finds absurd.""Bedlam is referenced as a metaphorical place for madness, illustrating Scrooge\'s disdain for the cheerful nature of Christmas and his sense of isolation."', 'source_id': 'chunk-5dac41b3f9eeaf794f0147400b1718cd'} +2024-10-30 06:04:07,301 - lightrag - INFO - get_node:query:MATCH (n:`THE GENTLEMAN`) RETURN n:result:"The Gentleman is a character attempting to persuade Scrooge to contribute to charity for the poor during Christmas.""The Gentleman is a character attempting to persuade Scrooge to contribute to charity for the poor during Christmas.""The Gentleman is a character who advocates for helping the poor and trying to raise a fund for those in need during Christmas."', 'source_id': 'chunk-90d5764e301321c087f5a8f78b73a145'}> +2024-10-30 06:04:07,437 - lightrag - INFO - _do_upsert:query: + MERGE (n:`THE GENTLEMAN`) + SET n += $properties + RETURN n + :result:{'entity_type': '"PERSON"', 'description': '"The Gentleman is a character attempting to persuade Scrooge to contribute to charity for the poor during Christmas.""The Gentleman is a character attempting to persuade Scrooge to contribute to charity for the poor during Christmas.""The Gentleman is a character attempting to persuade Scrooge to contribute to charity for the poor during Christmas.""The Gentleman is a character attempting to persuade Scrooge to contribute to charity for the poor during Christmas.""The Gentleman is a character who advocates for helping the poor and trying to raise a fund for those in need during Christmas."', 'source_id': 'chunk-90d5764e301321c087f5a8f78b73a145'} +2024-10-30 06:04:07,567 - lightrag - INFO - get_node:query:MATCH (n:`THE POOR LAW`) RETURN n:result: +2024-10-30 06:04:07,702 - lightrag - INFO - _do_upsert:query: + MERGE (n:`THE POOR LAW`) + SET n += $properties + RETURN n + :result:{'entity_type': '"ORGANIZATION"', 'description': '"The Poor Law refers to a governmental system in place intended to support the impoverished, which Scrooge references to indicate his views on responsibility and charity."', 'source_id': 'chunk-90d5764e301321c087f5a8f78b73a145'} +2024-10-30 06:04:07,830 - lightrag - INFO - get_node:query:MATCH (n:`THE UNION WORKHOUSES`) RETURN n:result:"The Union Workhouses are facilities that provide aid to the poor, still operational as confirmed by the Gentleman during the discussion with Scrooge.""The Union Workhouses are facilities that provide aid to the poor, still operational as confirmed by the Gentleman during the discussion with Scrooge.""The Union Workhouses are institutions mentioned as a means of supporting the poor, still operational during Scrooge\'s time."', 'source_id': 'chunk-90d5764e301321c087f5a8f78b73a145'}> +2024-10-30 06:04:07,966 - lightrag - INFO - _do_upsert:query: + MERGE (n:`THE UNION WORKHOUSES`) + SET n += $properties + RETURN n + :result:{'entity_type': '"ORGANIZATION"', 'description': '"The Union Workhouses are facilities that provide aid to the poor, still operational as confirmed by the Gentleman during the discussion with Scrooge.""The Union Workhouses are facilities that provide aid to the poor, still operational as confirmed by the Gentleman during the discussion with Scrooge.""The Union Workhouses are facilities that provide aid to the poor, still operational as confirmed by the Gentleman during the discussion with Scrooge.""The Union Workhouses are facilities that provide aid to the poor, still operational as confirmed by the Gentleman during the discussion with Scrooge.""The Union Workhouses are institutions mentioned as a means of supporting the poor, still operational during Scrooge\'s time."', 'source_id': 'chunk-90d5764e301321c087f5a8f78b73a145'} +2024-10-30 06:04:08,097 - lightrag - INFO - get_node:query:MATCH (n:`THE MANSION HOUSE`) RETURN n:result:"The Mansion House is the official residence of the Lord Mayor, where festive preparations for Christmas are being made.""The Mansion House is the official residence of the Lord Mayor, where festive preparations for Christmas are being made.""The Mansion House is the official residence of the Lord Mayor, where festive preparations for Christmas are being made."', 'source_id': 'chunk-90d5764e301321c087f5a8f78b73a145'}> +2024-10-30 06:04:08,232 - lightrag - INFO - _do_upsert:query: + MERGE (n:`THE MANSION HOUSE`) + SET n += $properties + RETURN n + :result:{'entity_type': '"LOCATION"', 'description': '"The Mansion House is identified as the residence of the Lord Mayor, a place associated with Christmas festivities and order.""The Mansion House is the official residence of the Lord Mayor, where festive preparations for Christmas are being made.""The Mansion House is the official residence of the Lord Mayor, where festive preparations for Christmas are being made.""The Mansion House is the official residence of the Lord Mayor, where festive preparations for Christmas are being made.""The Mansion House is the official residence of the Lord Mayor, where festive preparations for Christmas are being made."', 'source_id': 'chunk-90d5764e301321c087f5a8f78b73a145'} +2024-10-30 06:04:08,392 - lightrag - INFO - get_node:query:MATCH (n:`THE POOR`) RETURN n:result:"The Poor refer to those individuals in society who face economic hardship and are in need of help, as indicated by their absence from the workhouses and their desperate circumstances during the festive season.""The Poor refer to those individuals in society who face economic hardship and are in need of help, as indicated by their absence from the workhouses and their desperate circumstances during the festive season.""The Poor refers to the individuals in society who are destitute and in need of assistance, often highlighted in discussions about charity during Christmas."', 'source_id': 'chunk-90d5764e301321c087f5a8f78b73a145'}> +2024-10-30 06:04:08,525 - lightrag - INFO - _do_upsert:query: + MERGE (n:`THE POOR`) + SET n += $properties + RETURN n + :result:{'entity_type': '"PERSON"', 'description': '"The Poor refer to those individuals in society who face economic hardship and are in need of help, as indicated by their absence from the workhouses and their desperate circumstances during the festive season.""The Poor refer to those individuals in society who face economic hardship and are in need of help, as indicated by their absence from the workhouses and their desperate circumstances during the festive season.""The Poor refer to those individuals in society who face economic hardship and are in need of help, as indicated by their absence from the workhouses and their desperate circumstances during the festive season.""The Poor refer to those individuals in society who face economic hardship and are in need of help, as indicated by their absence from the workhouses and their desperate circumstances during the festive season.""The Poor refers to the individuals in society who are destitute and in need of assistance, often highlighted in discussions about charity during Christmas."', 'source_id': 'chunk-90d5764e301321c087f5a8f78b73a145'} +2024-10-30 06:04:08,654 - lightrag - INFO - get_node:query:MATCH (n:`SCROOGE'S COUNTING-HOUSE`) RETURN n:result: +2024-10-30 06:04:08,787 - lightrag - INFO - _do_upsert:query: + MERGE (n:`SCROOGE'S COUNTING-HOUSE`) + SET n += $properties + RETURN n + :result:{'entity_type': '"LOCATION"', 'description': '"Scrooge\'s Counting-House is the workspace of Scrooge where he conducts his business, symbolizing his frugality and solitary nature."', 'source_id': 'chunk-90d5764e301321c087f5a8f78b73a145'} +2024-10-30 06:04:08,916 - lightrag - INFO - get_node:query:MATCH (n:`THE LORD MAYOR`) RETURN n:result:"The Lord Mayor oversees the festivities during Christmas at the Mansion House, representing authority and public celebration.""The Lord Mayor oversees the festivities during Christmas at the Mansion House, representing authority and public celebration.""The Lord Mayor oversees the festivities during Christmas at the Mansion House, representing authority and public celebration."', 'source_id': 'chunk-90d5764e301321c087f5a8f78b73a145'}> +2024-10-30 06:04:09,050 - lightrag - INFO - _do_upsert:query: + MERGE (n:`THE LORD MAYOR`) + SET n += $properties + RETURN n + :result:{'entity_type': '"PERSON"', 'description': '"The Lord Mayor is a civic leader responsible for overseeing Christmas festivities and ensuring proper celebrations in the town.""The Lord Mayor oversees the festivities during Christmas at the Mansion House, representing authority and public celebration.""The Lord Mayor oversees the festivities during Christmas at the Mansion House, representing authority and public celebration.""The Lord Mayor oversees the festivities during Christmas at the Mansion House, representing authority and public celebration.""The Lord Mayor oversees the festivities during Christmas at the Mansion House, representing authority and public celebration."', 'source_id': 'chunk-90d5764e301321c087f5a8f78b73a145'} +2024-10-30 06:04:09,179 - lightrag - INFO - get_node:query:MATCH (n:`CHRISTMAS PUDDING`) RETURN n:result:"Christmas Pudding is a dish being prepared for the festive celebration, embodying the spirit of Christmas and family gatherings.""Christmas Pudding is a dish being prepared for the festive celebration, embodying the spirit of Christmas and family gatherings.""The Christmas Pudding is a significant dish prepared by Mrs. Cratchit, symbolizing the family\'s festive celebration and unity."', 'source_id': 'chunk-503f0bfa5453467c7c61d160a3540ecachunk-90d5764e301321c087f5a8f78b73a145'}> +2024-10-30 06:04:09,313 - lightrag - INFO - _do_upsert:query: + MERGE (n:`CHRISTMAS PUDDING`) + SET n += $properties + RETURN n + :result:{'entity_type': '"EVENT"', 'description': '"Christmas Pudding is a dish being prepared for the festive celebration, embodying the spirit of Christmas and family gatherings.""Christmas Pudding is a dish being prepared for the festive celebration, embodying the spirit of Christmas and family gatherings.""Christmas Pudding is a dish being prepared for the festive celebration, embodying the spirit of Christmas and family gatherings.""Christmas Pudding is a dish being prepared for the festive celebration, embodying the spirit of Christmas and family gatherings.""The Christmas Pudding is a significant dish prepared by Mrs. Cratchit, symbolizing the family\'s festive celebration and unity."', 'source_id': 'chunk-90d5764e301321c087f5a8f78b73a145chunk-503f0bfa5453467c7c61d160a3540eca'} +2024-10-30 06:04:09,444 - lightrag - INFO - get_node:query:MATCH (n:`THE GAS-PIPES`) RETURN n:result:"The Gas-Pipes represent the infrastructure of the city, which signifies the industrial and economic activity during the cold winter season.""The Gas-Pipes represent the infrastructure of the city, which signifies the industrial and economic activity during the cold winter season.""The Gas-pipes are mentioned as undergoing repairs in The Main Street, indicating the infrastructure\'s role in the community during winter."', 'source_id': 'chunk-90d5764e301321c087f5a8f78b73a145'}> +2024-10-30 06:04:09,580 - lightrag - INFO - _do_upsert:query: + MERGE (n:`THE GAS-PIPES`) + SET n += $properties + RETURN n + :result:{'entity_type': '"ORGANIZATION"', 'description': '"The Gas-Pipes represent the infrastructure of the city, which signifies the industrial and economic activity during the cold winter season.""The Gas-Pipes represent the infrastructure of the city, which signifies the industrial and economic activity during the cold winter season.""The Gas-Pipes represent the infrastructure of the city, which signifies the industrial and economic activity during the cold winter season.""The Gas-Pipes represent the infrastructure of the city, which signifies the industrial and economic activity during the cold winter season.""The Gas-pipes are mentioned as undergoing repairs in The Main Street, indicating the infrastructure\'s role in the community during winter."', 'source_id': 'chunk-90d5764e301321c087f5a8f78b73a145'} +2024-10-30 06:04:09,708 - lightrag - INFO - get_node:query:MATCH (n:`THE CHURCH`) RETURN n:result:"The Church is a location from where the clock chimes are heard, marking the passage of time and contributing to the atmosphere of the scene.""The Church is a location from where the clock chimes are heard, marking the passage of time and contributing to the atmosphere of the scene.""The Church is a place Scrooge visits, indicating his desire to engage in the Christmas spirit and community.""The Church is a place referenced in the context of the community\'s sentiments toward Christmas and social welfare.""The Church is a place referenced in the context of the community\'s sentiments toward Christmas and social welfare.""The Church is a place referenced in the context of the community\'s sentiments toward Christmas and social welfare."', 'source_id': 'chunk-8f738cb25d60a7dab782162d9d0a25edchunk-cb661c37436355ccec2769b1d0350c5fchunk-90d5764e301321c087f5a8f78b73a145'}> +2024-10-30 06:04:09,842 - lightrag - INFO - _do_upsert:query: + MERGE (n:`THE CHURCH`) + SET n += $properties + RETURN n + :result:{'entity_type': '"ORGANIZATION"', 'description': '"The Church is a location from where the clock chimes are heard, marking the passage of time and contributing to the atmosphere of the scene.""The Church is a location from where the clock chimes are heard, marking the passage of time and contributing to the atmosphere of the scene.""The Church is a location from where the clock chimes are heard, marking the passage of time and contributing to the atmosphere of the scene.""The Church is a location from where the clock chimes are heard, marking the passage of time and contributing to the atmosphere of the scene.""The Church is a place Scrooge visits, indicating his desire to engage in the Christmas spirit and community.""The Church is a place referenced in the context of the community\'s sentiments toward Christmas and social welfare.""The Church is a place referenced in the context of the community\'s sentiments toward Christmas and social welfare.""The Church is a place referenced in the context of the community\'s sentiments toward Christmas and social welfare.""The Church is a place referenced in the context of the community\'s sentiments toward Christmas and social welfare."', 'source_id': 'chunk-90d5764e301321c087f5a8f78b73a145chunk-8f738cb25d60a7dab782162d9d0a25edchunk-cb661c37436355ccec2769b1d0350c5f'} +2024-10-30 06:04:09,977 - lightrag - INFO - get_node:query:MATCH (n:`THE CRATCHIT FAMILY`) RETURN n:result:"The Cratchit Family consists of Bob, Mrs. Cratchit, Tiny Tim, and their children, characterized by their strong familial bonds and love for one another despite financial struggles.""The Cratchit Family consists of Bob, Mrs. Cratchit, Tiny Tim, and their children, characterized by their strong familial bonds and love for one another despite financial struggles.""The Cratchit Family consists of Bob, Mrs. Cratchit, and their children, highlighting themes of familial love and support amidst hardship.""The Cratchit Family is a close-knit family depicted in the text, characterized by love and warmth, celebrating Christmas together despite their difficulties.""The Cratchit Family represents a typical struggling family in the text, highlighting the theme of social disparity during Christmas.""The Cratchit Family is a close-knit family depicted in the text, characterized by love and warmth, celebrating Christmas together despite their difficulties.""The Cratchit Family represents a typical struggling family in the text, highlighting the theme of social disparity during Christmas.""The Cratchit Family is a close-knit family depicted in the text, characterized by love and warmth, celebrating Christmas together despite their difficulties.""The Cratchit Family represents a typical struggling family in the text, highlighting the theme of social disparity during Christmas."', 'source_id': 'chunk-503f0bfa5453467c7c61d160a3540ecachunk-1d4b58de5429cd1261370c231c8673e8chunk-90d5764e301321c087f5a8f78b73a145'}> +2024-10-30 06:04:10,112 - lightrag - INFO - _do_upsert:query: + MERGE (n:`THE CRATCHIT FAMILY`) + SET n += $properties + RETURN n + :result:{'entity_type': '"ORGANIZATION"', 'description': '"The Cratchit Family consists of Bob, Mrs. Cratchit, Tiny Tim, and their children, characterized by their strong familial bonds and love for one another despite financial struggles.""The Cratchit Family consists of Bob, Mrs. Cratchit, Tiny Tim, and their children, characterized by their strong familial bonds and love for one another despite financial struggles.""The Cratchit Family consists of Bob, Mrs. Cratchit, Tiny Tim, and their children, characterized by their strong familial bonds and love for one another despite financial struggles.""The Cratchit Family consists of Bob, Mrs. Cratchit, Tiny Tim, and their children, characterized by their strong familial bonds and love for one another despite financial struggles.""The Cratchit Family consists of Bob, Mrs. Cratchit, and their children, highlighting themes of familial love and support amidst hardship.""The Cratchit Family is a close-knit family depicted in the text, characterized by love and warmth, celebrating Christmas together despite their difficulties.""The Cratchit Family represents a typical struggling family in the text, highlighting the theme of social disparity during Christmas.""The Cratchit Family is a close-knit family depicted in the text, characterized by love and warmth, celebrating Christmas together despite their difficulties.""The Cratchit Family represents a typical struggling family in the text, highlighting the theme of social disparity during Christmas.""The Cratchit Family is a close-knit family depicted in the text, characterized by love and warmth, celebrating Christmas together despite their difficulties.""The Cratchit Family represents a typical struggling family in the text, highlighting the theme of social disparity during Christmas.""The Cratchit Family is a close-knit family depicted in the text, characterized by love and warmth, celebrating Christmas together despite their difficulties.""The Cratchit Family represents a typical struggling family in the text, highlighting the theme of social disparity during Christmas."', 'source_id': 'chunk-90d5764e301321c087f5a8f78b73a145chunk-1d4b58de5429cd1261370c231c8673e8chunk-503f0bfa5453467c7c61d160a3540eca'} +2024-10-30 06:04:10,244 - lightrag - INFO - get_node:query:MATCH (n:`CHRISTMAS EVE`) RETURN n:result:"Christmas Eve is a significant time in the story, marked by celebrations and gatherings led by Fezziwig.""Christmas Eve is a significant time in the story, marked by celebrations and gatherings led by Fezziwig.""Christmas Eve is depicted as a significant time, bringing about joyful activities like sliding down snow hills, contrasting with Scrooge\'s dour demeanor.""Christmas Eve is the night before Christmas, serving as the backdrop for the lively celebrations and dances hosted by Fezziwig.""Christmas Eve is the specific time setting in the story, highlighting the contrast between the joy of the holiday and Scrooge\'s negativity.""Christmas Eve is the day prior to Christmas, a time that carries festive significance and anticipation in the narrative.""Christmas Eve is the day prior to Christmas, a time that carries festive significance and anticipation in the narrative.""Christmas Eve is the day prior to Christmas, a time that carries festive significance and anticipation in the narrative."', 'source_id': 'chunk-74e2466de2f67fd710ef2f20c0a8d9e0chunk-d9aac3484185ac66045df92214d245d5chunk-8bc1edd983869352d14cf0886a9175a7'}> +2024-10-30 06:04:10,383 - lightrag - INFO - _do_upsert:query: + MERGE (n:`CHRISTMAS EVE`) + SET n += $properties + RETURN n + :result:{'entity_type': '"EVENT"', 'description': '"Christmas Eve is a significant time in the story, marked by celebrations and gatherings led by Fezziwig.""Christmas Eve is a significant time in the story, marked by celebrations and gatherings led by Fezziwig.""Christmas Eve is a significant time in the story, marked by celebrations and gatherings led by Fezziwig.""Christmas Eve is a significant time in the story, marked by celebrations and gatherings led by Fezziwig.""Christmas Eve is depicted as a significant time, bringing about joyful activities like sliding down snow hills, contrasting with Scrooge\'s dour demeanor.""Christmas Eve is the night before Christmas, serving as the backdrop for the lively celebrations and dances hosted by Fezziwig.""Christmas Eve is the specific time setting in the story, highlighting the contrast between the joy of the holiday and Scrooge\'s negativity.""Christmas Eve is the day prior to Christmas, a time that carries festive significance and anticipation in the narrative.""Christmas Eve is the day prior to Christmas, a time that carries festive significance and anticipation in the narrative.""Christmas Eve is the day prior to Christmas, a time that carries festive significance and anticipation in the narrative.""Christmas Eve is the day prior to Christmas, a time that carries festive significance and anticipation in the narrative."', 'source_id': 'chunk-74e2466de2f67fd710ef2f20c0a8d9e0chunk-d9aac3484185ac66045df92214d245d5chunk-8bc1edd983869352d14cf0886a9175a7'} +2024-10-30 06:04:10,516 - lightrag - INFO - get_node:query:MATCH (n:`CAMDEN TOWN`) RETURN n:result:"Camden Town is a location mentioned as Bob Cratchit\'s home, highlighting the setting of his personal life.""Camden Town is a location mentioned as Bob Cratchit\'s home, highlighting the setting of his personal life.""Camden Town is a location mentioned in relation to the logistics of transporting a large turkey.""Camden Town is a location where Bob Cratchit runs home to celebrate Christmas Eve, representing a more joyful and lively setting.""Camden Town is mentioned as a location related to the transportation of a turkey in a humorous context during the holiday season.""Camden Town is mentioned as a location related to the transportation of a turkey in a humorous context during the holiday season.""Camden Town is mentioned as a location related to the transportation of a turkey in a humorous context during the holiday season."', 'source_id': 'chunk-d9aac3484185ac66045df92214d245d5chunk-8f738cb25d60a7dab782162d9d0a25ed'}> +2024-10-30 06:04:10,653 - lightrag - INFO - _do_upsert:query: + MERGE (n:`CAMDEN TOWN`) + SET n += $properties + RETURN n + :result:{'entity_type': '"GEO"', 'description': '"Camden Town is a location mentioned as Bob Cratchit\'s home, highlighting the setting of his personal life.""Camden Town is a location mentioned as Bob Cratchit\'s home, highlighting the setting of his personal life.""Camden Town is a location mentioned as Bob Cratchit\'s home, highlighting the setting of his personal life.""Camden Town is a location mentioned as Bob Cratchit\'s home, highlighting the setting of his personal life.""Camden Town is a location mentioned in relation to the logistics of transporting a large turkey.""Camden Town is a location where Bob Cratchit runs home to celebrate Christmas Eve, representing a more joyful and lively setting.""Camden Town is mentioned as a location related to the transportation of a turkey in a humorous context during the holiday season.""Camden Town is mentioned as a location related to the transportation of a turkey in a humorous context during the holiday season.""Camden Town is mentioned as a location related to the transportation of a turkey in a humorous context during the holiday season.""Camden Town is mentioned as a location related to the transportation of a turkey in a humorous context during the holiday season."', 'source_id': 'chunk-d9aac3484185ac66045df92214d245d5chunk-8f738cb25d60a7dab782162d9d0a25ed'} +2024-10-30 06:04:10,781 - lightrag - INFO - get_node:query:MATCH (n:`THE COUNTING-HOUSE`) RETURN n:result:"The Counting-House is where Scrooge works and is characterized by its cold and unwelcoming environment.""The Counting-House is the place where Scrooge works, reflecting a business environment lacking warmth or joy.""The Counting-House is the place where Scrooge works, reflecting a business environment lacking warmth or joy.""The Counting-House is the place where Scrooge works, reflecting a business environment lacking warmth or joy."', 'source_id': 'chunk-d9aac3484185ac66045df92214d245d5chunk-74e2466de2f67fd710ef2f20c0a8d9e0'}> +2024-10-30 06:04:10,916 - lightrag - INFO - _do_upsert:query: + MERGE (n:`THE COUNTING-HOUSE`) + SET n += $properties + RETURN n + :result:{'entity_type': '"ORGANIZATION"', 'description': '"The Counting-House is Scrooge\'s place of work, characterized by a gloomy demeanor and an atmosphere that reflects Scrooge\'s character.""The Counting-House is where Scrooge works and is characterized by its cold and unwelcoming environment.""The Counting-House is the place where Scrooge works, reflecting a business environment lacking warmth or joy.""The Counting-House is the place where Scrooge works, reflecting a business environment lacking warmth or joy.""The Counting-House is the place where Scrooge works, reflecting a business environment lacking warmth or joy.""The Counting-House is the place where Scrooge works, reflecting a business environment lacking warmth or joy."', 'source_id': 'chunk-74e2466de2f67fd710ef2f20c0a8d9e0chunk-d9aac3484185ac66045df92214d245d5'} +2024-10-30 06:04:11,045 - lightrag - INFO - get_node:query:MATCH (n:`THE KNOCKER`) RETURN n:result:"The Knocker is a feature on Scrooge\'s door, which takes on a mystical quality when Scrooge perceives Marley\'s face in it.""The Knocker is a feature on Scrooge\'s door, which takes on a mystical quality when Scrooge perceives Marley\'s face in it.""The Knocker is a physical object that becomes a symbol of Scrooge\'s psyche, transforming into Marley\'s face, representing his guilt and past.""The Knocker is an ornate door knocker that Scrooge admires, reflecting his newfound appreciation for simple joys.""The Knocker on the door serves as a symbolic gateway to the supernatural events, being the first point of eerie interaction for Scrooge.""The Knocker is a physical object that symbolizes Scrooge\'s newfound appreciation for the simple, honest joys of life during Christmas.""The Knocker is a physical object that symbolizes Scrooge\'s newfound appreciation for the simple, honest joys of life during Christmas.""The Knocker is a physical object that symbolizes Scrooge\'s newfound appreciation for the simple, honest joys of life during Christmas."', 'source_id': 'chunk-9c43dac2fcd5b578242d907ea6f8fc7bchunk-d9aac3484185ac66045df92214d245d5chunk-8f738cb25d60a7dab782162d9d0a25ed'}> +2024-10-30 06:04:11,180 - lightrag - INFO - _do_upsert:query: + MERGE (n:`THE KNOCKER`) + SET n += $properties + RETURN n + :result:{'entity_type': '"ORGANIZATION"', 'description': '"The Knocker is a feature on Scrooge\'s door, which takes on a mystical quality when Scrooge perceives Marley\'s face in it.""The Knocker is a feature on Scrooge\'s door, which takes on a mystical quality when Scrooge perceives Marley\'s face in it.""The Knocker is a feature on Scrooge\'s door, which takes on a mystical quality when Scrooge perceives Marley\'s face in it.""The Knocker is a feature on Scrooge\'s door, which takes on a mystical quality when Scrooge perceives Marley\'s face in it.""The Knocker is a physical object that becomes a symbol of Scrooge\'s psyche, transforming into Marley\'s face, representing his guilt and past.""The Knocker is an ornate door knocker that Scrooge admires, reflecting his newfound appreciation for simple joys.""The Knocker on the door serves as a symbolic gateway to the supernatural events, being the first point of eerie interaction for Scrooge.""The Knocker is a physical object that symbolizes Scrooge\'s newfound appreciation for the simple, honest joys of life during Christmas.""The Knocker is a physical object that symbolizes Scrooge\'s newfound appreciation for the simple, honest joys of life during Christmas.""The Knocker is a physical object that symbolizes Scrooge\'s newfound appreciation for the simple, honest joys of life during Christmas.""The Knocker is a physical object that symbolizes Scrooge\'s newfound appreciation for the simple, honest joys of life during Christmas."', 'source_id': 'chunk-9c43dac2fcd5b578242d907ea6f8fc7bchunk-d9aac3484185ac66045df92214d245d5chunk-8f738cb25d60a7dab782162d9d0a25ed'} +2024-10-30 06:04:11,313 - lightrag - INFO - get_node:query:MATCH (n:`THE COUNTING-HOUSE CLERK`) RETURN n:result: +2024-10-30 06:04:11,452 - lightrag - INFO - _do_upsert:query: + MERGE (n:`THE COUNTING-HOUSE CLERK`) + SET n += $properties + RETURN n + :result:{'entity_type': '"PERSON"', 'description': '"The Counting-House Clerk is an unnamed character who interacts with Scrooge, representing the workforce under Scrooge\'s employment."', 'source_id': 'chunk-d9aac3484185ac66045df92214d245d5'} +2024-10-30 06:04:11,582 - lightrag - INFO - get_node:query:MATCH (n:`THE CANDLE`) RETURN n:result:"The Candle is a source of light that Scrooge lights as he enters his home, symbolizing the struggle against darkness and isolation.""The Candle is a source of light that Scrooge lights as he enters his home, symbolizing the struggle against darkness and isolation.""The Candle represents a source of light in Scrooge\'s dark life, emphasizing the contrast between warmth and isolation."', 'source_id': 'chunk-d9aac3484185ac66045df92214d245d5chunk-9c43dac2fcd5b578242d907ea6f8fc7b'}> +2024-10-30 06:04:11,716 - lightrag - INFO - _do_upsert:query: + MERGE (n:`THE CANDLE`) + SET n += $properties + RETURN n + :result:{'entity_type': '"TECHNOLOGY"', 'description': '"The Candle is a source of light that Scrooge lights as he enters his home, symbolizing the struggle against darkness and isolation.""The Candle is a source of light that Scrooge lights as he enters his home, symbolizing the struggle against darkness and isolation.""The Candle is a source of light that Scrooge lights as he enters his home, symbolizing the struggle against darkness and isolation.""The Candle is a source of light that Scrooge lights as he enters his home, symbolizing the struggle against darkness and isolation.""The Candle represents a source of light in Scrooge\'s dark life, emphasizing the contrast between warmth and isolation."', 'source_id': 'chunk-9c43dac2fcd5b578242d907ea6f8fc7bchunk-d9aac3484185ac66045df92214d245d5'} +2024-10-30 06:04:11,844 - lightrag - INFO - get_node:query:MATCH (n:`THE YARD`) RETURN n:result: +2024-10-30 06:04:11,980 - lightrag - INFO - _do_upsert:query: + MERGE (n:`THE YARD`) + SET n += $properties + RETURN n + :result:{'entity_type': '"GEO"', 'description': '"The Yard refers to the dark and gloomy space behind Scrooge\'s residence, creating an atmosphere of loneliness and despair."', 'source_id': 'chunk-d9aac3484185ac66045df92214d245d5'} +2024-10-30 06:04:12,115 - lightrag - INFO - get_node:query:MATCH (n:`THE FOG AND FROST`) RETURN n:result: +2024-10-30 06:04:12,250 - lightrag - INFO - _do_upsert:query: + MERGE (n:`THE FOG AND FROST`) + SET n += $properties + RETURN n + :result:{'entity_type': '"CONCEPT"', 'description': '"The Fog and Frost symbolize the coldness and obscurity surrounding Scrooge\'s life and mindset, enhancing the gloomy atmosphere."', 'source_id': 'chunk-d9aac3484185ac66045df92214d245d5'} +2024-10-30 06:04:12,378 - lightrag - INFO - get_node:query:MATCH (n:`THE GHOST OF MARLEY`) RETURN n:result:"The Ghost of Marley refers to the apparition that appears to Scrooge, serving as a catalyst for his transformation and moral reckoning.""The Ghost of Marley refers to the apparition that appears to Scrooge, serving as a catalyst for his transformation and moral reckoning.""The Ghost of Marley refers to the apparition that appears to Scrooge, serving as a catalyst for his transformation and moral reckoning."', 'source_id': 'chunk-d9aac3484185ac66045df92214d245d5'}> +2024-10-30 06:04:12,514 - lightrag - INFO - _do_upsert:query: + MERGE (n:`THE GHOST OF MARLEY`) + SET n += $properties + RETURN n + :result:{'entity_type': '"EVENT"', 'description': '"The Ghost of Marley is an event that is anticipated in the narrative, representing Scrooge\'s confrontation with his past and the supernatural.""The Ghost of Marley refers to the apparition that appears to Scrooge, serving as a catalyst for his transformation and moral reckoning.""The Ghost of Marley refers to the apparition that appears to Scrooge, serving as a catalyst for his transformation and moral reckoning.""The Ghost of Marley refers to the apparition that appears to Scrooge, serving as a catalyst for his transformation and moral reckoning.""The Ghost of Marley refers to the apparition that appears to Scrooge, serving as a catalyst for his transformation and moral reckoning."', 'source_id': 'chunk-d9aac3484185ac66045df92214d245d5'} +2024-10-30 06:04:12,647 - lightrag - INFO - get_node:query:MATCH (n:`LONDON`) RETURN n:result:"London is the city where the narrative takes place, representing a central location in the story.""London is the city where the narrative takes place, representing a central location in the story.""London serves as the general setting for the story, although its specific mention relates to an animal in the context of a game.""London serves as the geographical setting for the story, encapsulating the harsh winter atmosphere and the life of its inhabitants during the festive season.""London serves as the setting where the events take place, adding a cultural backdrop to the Christmas gathering.""London serves as the setting for the story, highlighting the bustling yet isolating environment in which Scrooge lives.""London serves as the general setting for the story, although its specific mention relates to an animal in the context of a game.""London serves as the setting for the story, highlighting the bustling yet isolating environment in which Scrooge lives.""London serves as the general setting for the story, although its specific mention relates to an animal in the context of a game.""London serves as the setting for the story, highlighting the bustling yet isolating environment in which Scrooge lives."', 'source_id': 'chunk-d9aac3484185ac66045df92214d245d5chunk-e7637ff18c5ded77a68cce0a87883fadchunk-43c9bee23adfa77aa9dedd22401bba7d'}> +2024-10-30 06:04:12,781 - lightrag - INFO - _do_upsert:query: + MERGE (n:`LONDON`) + SET n += $properties + RETURN n + :result:{'entity_type': '"GEO"', 'description': '"London is the city where the narrative takes place, representing a central location in the story.""London is the city where the narrative takes place, representing a central location in the story.""London is the city where the narrative takes place, representing a central location in the story.""London is the city where the narrative takes place, representing a central location in the story.""London serves as the general setting for the story, although its specific mention relates to an animal in the context of a game.""London serves as the geographical setting for the story, encapsulating the harsh winter atmosphere and the life of its inhabitants during the festive season.""London serves as the setting where the events take place, adding a cultural backdrop to the Christmas gathering.""London serves as the setting for the story, highlighting the bustling yet isolating environment in which Scrooge lives.""London serves as the general setting for the story, although its specific mention relates to an animal in the context of a game.""London serves as the setting for the story, highlighting the bustling yet isolating environment in which Scrooge lives.""London serves as the general setting for the story, although its specific mention relates to an animal in the context of a game.""London serves as the setting for the story, highlighting the bustling yet isolating environment in which Scrooge lives.""London serves as the general setting for the story, although its specific mention relates to an animal in the context of a game.""London serves as the setting for the story, highlighting the bustling yet isolating environment in which Scrooge lives."', 'source_id': 'chunk-43c9bee23adfa77aa9dedd22401bba7dchunk-e7637ff18c5ded77a68cce0a87883fadchunk-d9aac3484185ac66045df92214d245d5'} +2024-10-30 06:04:12,914 - lightrag - INFO - get_node:query:MATCH (n:`THE HOUSE`) RETURN n:result:"The House is the setting for Scrooge\'s encounters, characterized by its darkness, the creaking sounds, and the presence of the ghost.""The House is the setting for Scrooge\'s encounters, characterized by its darkness, the creaking sounds, and the presence of the ghost.""The House is the setting for the Christmas celebration and interactions among the characters, embodying warmth and family togetherness.""The House is the setting where Scrooge experiences the haunting, with a description of its features contributing to the eerie atmosphere."', 'source_id': 'chunk-9c43dac2fcd5b578242d907ea6f8fc7bchunk-da2472b4ef2a535b62908f14d0fb0ca9'}> +2024-10-30 06:04:13,048 - lightrag - INFO - _do_upsert:query: + MERGE (n:`THE HOUSE`) + SET n += $properties + RETURN n + :result:{'entity_type': '"GEO"', 'description': '"The House is the setting for Scrooge\'s encounters, characterized by its darkness, the creaking sounds, and the presence of the ghost.""The House is the setting for Scrooge\'s encounters, characterized by its darkness, the creaking sounds, and the presence of the ghost.""The House is the setting for Scrooge\'s encounters, characterized by its darkness, the creaking sounds, and the presence of the ghost.""The House is the setting for Scrooge\'s encounters, characterized by its darkness, the creaking sounds, and the presence of the ghost.""The House is the setting for the Christmas celebration and interactions among the characters, embodying warmth and family togetherness.""The House is the setting where Scrooge experiences the haunting, with a description of its features contributing to the eerie atmosphere."', 'source_id': 'chunk-9c43dac2fcd5b578242d907ea6f8fc7bchunk-da2472b4ef2a535b62908f14d0fb0ca9'} +2024-10-30 06:04:13,183 - lightrag - INFO - get_node:query:MATCH (n:`THE GHOST`) RETURN n:result:chunk-359187e7571bda4b0b08b2e0b6581e52chunk-cb661c37436355ccec2769b1d0350c5fchunk-54bdd22db1f84a965b5f4c06c9216d8dchunk-02baee20cc9463dbe08170a8e1043e32chunk-c7b10789a9cb0af6c553730b29bd9034chunk-c6c248858d1b13ab7ee9ca13c1aeed6bchunk-e7637ff18c5ded77a68cce0a87883fadchunk-83ac129dc9b56f84c46760d153d68e93chunk-43c9bee23adfa77aa9dedd22401bba7dchunk-9c43dac2fcd5b578242d907ea6f8fc7bchunk-da2472b4ef2a535b62908f14d0fb0ca9chunk-1aa50206d02ed89418f65f97c6441d1c'}> +2024-10-30 06:04:13,186 - lightrag - DEBUG - Trigger summary: "THE GHOST" +2024-10-30 06:04:13,287 - lightrag - INFO - get_node:query:MATCH (n:`THE BELL`) RETURN n:result:"The Bell is described as a disused bell that starts to swing and ring during the haunting, signifying the onset of supernatural occurrences.""The Bell is a disused bell in Scrooge\'s room, which begins to swing and rings out loudly, heralding the appearance of Marley\'s Ghost.""The Bell is a disused bell in Scrooge\'s room, which begins to swing and rings out loudly, heralding the appearance of Marley\'s Ghost.""The Bell is a disused bell in Scrooge\'s room, which begins to swing and rings out loudly, heralding the appearance of Marley\'s Ghost."', 'source_id': 'chunk-cb661c37436355ccec2769b1d0350c5fchunk-9c43dac2fcd5b578242d907ea6f8fc7b'}> +2024-10-30 06:04:13,421 - lightrag - INFO - _do_upsert:query: + MERGE (n:`THE BELL`) + SET n += $properties + RETURN n + :result:{'entity_type': '"GEO"', 'description': '"The Bell is a church bell that signifies the time passing and marks the moments of Scrooge\'s encounters with the ghosts.""The Bell is described as a disused bell that starts to swing and ring during the haunting, signifying the onset of supernatural occurrences.""The Bell is a disused bell in Scrooge\'s room, which begins to swing and rings out loudly, heralding the appearance of Marley\'s Ghost.""The Bell is a disused bell in Scrooge\'s room, which begins to swing and rings out loudly, heralding the appearance of Marley\'s Ghost.""The Bell is a disused bell in Scrooge\'s room, which begins to swing and rings out loudly, heralding the appearance of Marley\'s Ghost.""The Bell is a disused bell in Scrooge\'s room, which begins to swing and rings out loudly, heralding the appearance of Marley\'s Ghost."', 'source_id': 'chunk-9c43dac2fcd5b578242d907ea6f8fc7bchunk-cb661c37436355ccec2769b1d0350c5f'} +2024-10-30 06:04:13,553 - lightrag - INFO - get_node:query:MATCH (n:`THE WINE-MERCHANT'S CELLAR`) RETURN n:result:"The Wine-Merchant\'s Cellar is a location within The House where sounds of dragging chains are heard, signifying a haunted presence.""The Wine-Merchant\'s Cellar is a location within The House where sounds of dragging chains are heard, signifying a haunted presence.""The Wine-Merchant\'s Cellar is a location within The House where sounds of dragging chains are heard, signifying a haunted presence."', 'source_id': 'chunk-9c43dac2fcd5b578242d907ea6f8fc7b'}> +2024-10-30 06:04:13,685 - lightrag - INFO - _do_upsert:query: + MERGE (n:`THE WINE-MERCHANT'S CELLAR`) + SET n += $properties + RETURN n + :result:{'entity_type': '"GEO"', 'description': '"The Wine-Merchant\'s Cellar is a location that holds significance in the story, where sounds of dragging chains are heard, adding to the ghostly ambiance.""The Wine-Merchant\'s Cellar is a location within The House where sounds of dragging chains are heard, signifying a haunted presence.""The Wine-Merchant\'s Cellar is a location within The House where sounds of dragging chains are heard, signifying a haunted presence.""The Wine-Merchant\'s Cellar is a location within The House where sounds of dragging chains are heard, signifying a haunted presence.""The Wine-Merchant\'s Cellar is a location within The House where sounds of dragging chains are heard, signifying a haunted presence."', 'source_id': 'chunk-9c43dac2fcd5b578242d907ea6f8fc7b'} +2024-10-30 06:04:13,815 - lightrag - INFO - get_node:query:MATCH (n:`THE DYING FLAME`) RETURN n:result:"The Dying Flame represents the fear and uncertainty in Scrooge as it reacts to the presence of Marley’s Ghost, adding to the eerie atmosphere.""The Dying Flame represents the fear and uncertainty in Scrooge as it reacts to the presence of Marley’s Ghost, adding to the eerie atmosphere.""The Dying Flame signifies the waning spirit of Scrooge, momentarily invigorated by the arrival of the ghost as a metaphor for his fading humanity.""The Dying Flame signifies the waning spirit of Scrooge, momentarily invigorated by the arrival of the ghost as a metaphor for his fading humanity.""The Dying Flame signifies the waning spirit of Scrooge, momentarily invigorated by the arrival of the ghost as a metaphor for his fading humanity."', 'source_id': 'chunk-9c43dac2fcd5b578242d907ea6f8fc7bchunk-1aa50206d02ed89418f65f97c6441d1c'}> +2024-10-30 06:04:13,951 - lightrag - INFO - _do_upsert:query: + MERGE (n:`THE DYING FLAME`) + SET n += $properties + RETURN n + :result:{'entity_type': '"CONCEPT"', 'description': '"The Dying Flame represents the fear and uncertainty in Scrooge as it reacts to the presence of Marley’s Ghost, adding to the eerie atmosphere.""The Dying Flame represents the fear and uncertainty in Scrooge as it reacts to the presence of Marley’s Ghost, adding to the eerie atmosphere.""The Dying Flame represents the fear and uncertainty in Scrooge as it reacts to the presence of Marley’s Ghost, adding to the eerie atmosphere.""The Dying Flame represents the fear and uncertainty in Scrooge as it reacts to the presence of Marley’s Ghost, adding to the eerie atmosphere.""The Dying Flame signifies the waning spirit of Scrooge, momentarily invigorated by the arrival of the ghost as a metaphor for his fading humanity.""The Dying Flame signifies the waning spirit of Scrooge, momentarily invigorated by the arrival of the ghost as a metaphor for his fading humanity.""The Dying Flame signifies the waning spirit of Scrooge, momentarily invigorated by the arrival of the ghost as a metaphor for his fading humanity.""The Dying Flame signifies the waning spirit of Scrooge, momentarily invigorated by the arrival of the ghost as a metaphor for his fading humanity."', 'source_id': 'chunk-9c43dac2fcd5b578242d907ea6f8fc7bchunk-1aa50206d02ed89418f65f97c6441d1c'} +2024-10-30 06:04:14,082 - lightrag - INFO - get_node:query:MATCH (n:`THE GRATE`) RETURN n:result:"The Grate is a small fire in Scrooge\'s room that provides meager warmth, symbolizing Scrooge\'s cold disposition.""The Grate is a small fire in Scrooge\'s room that provides meager warmth, symbolizing Scrooge\'s cold disposition.""The Grate is part of Scrooge\'s room where a small fire burns, contributing to the bleak and cold atmosphere of his setting."', 'source_id': 'chunk-9c43dac2fcd5b578242d907ea6f8fc7b'}> +2024-10-30 06:04:14,215 - lightrag - INFO - _do_upsert:query: + MERGE (n:`THE GRATE`) + SET n += $properties + RETURN n + :result:{'entity_type': '"GEO"', 'description': '"The Grate is a small fire in Scrooge\'s room that provides meager warmth, symbolizing Scrooge\'s cold disposition.""The Grate is a small fire in Scrooge\'s room that provides meager warmth, symbolizing Scrooge\'s cold disposition.""The Grate is a small fire in Scrooge\'s room that provides meager warmth, symbolizing Scrooge\'s cold disposition.""The Grate is a small fire in Scrooge\'s room that provides meager warmth, symbolizing Scrooge\'s cold disposition.""The Grate is part of Scrooge\'s room where a small fire burns, contributing to the bleak and cold atmosphere of his setting."', 'source_id': 'chunk-9c43dac2fcd5b578242d907ea6f8fc7b'} +2024-10-30 06:04:14,348 - lightrag - INFO - get_node:query:MATCH (n:`SCROOGE'S DRESSING-GOWN`) RETURN n:result: +2024-10-30 06:04:14,483 - lightrag - INFO - _do_upsert:query: + MERGE (n:`SCROOGE'S DRESSING-GOWN`) + SET n += $properties + RETURN n + :result:{'entity_type': '"CONCEPT"', 'description': '"Scrooge\'s Dressing-Gown represents his reluctance to engage with the world outside, emphasizing his isolation and contentment with solitude."', 'source_id': 'chunk-9c43dac2fcd5b578242d907ea6f8fc7b'} +2024-10-30 06:04:14,614 - lightrag - INFO - get_node:query:MATCH (n:`GRUE`) RETURN n:result: +2024-10-30 06:04:14,752 - lightrag - INFO - _do_upsert:query: + MERGE (n:`GRUE`) + SET n += $properties + RETURN n + :result:{'entity_type': '"GEO"', 'description': '"Grue is the small saucepan of gruel prepared by Scrooge, indicating his minimalistic lifestyle and frugality."', 'source_id': 'chunk-9c43dac2fcd5b578242d907ea6f8fc7b'} +2024-10-30 06:04:14,888 - lightrag - INFO - get_node:query:MATCH (n:`THE HEAVY CHAIN`) RETURN n:result: +2024-10-30 06:04:15,025 - lightrag - INFO - _do_upsert:query: + MERGE (n:`THE HEAVY CHAIN`) + SET n += $properties + RETURN n + :result:{'entity_type': '"CONCEPT"', 'description': '"The Heavy Chain is associated with the dragging noise heard by Scrooge, symbolizing the burdens of his past actions."', 'source_id': 'chunk-9c43dac2fcd5b578242d907ea6f8fc7b'} +2024-10-30 06:04:15,157 - lightrag - INFO - get_node:query:MATCH (n:`THE CASK`) RETURN n:result:"The Cask is part of the sounds emerging from the cellar, contributing to the eerie atmosphere surrounding Marley’s Ghost.""The Cask is part of the sounds emerging from the cellar, contributing to the eerie atmosphere surrounding Marley’s Ghost.""The Cask is part of the sounds emerging from the cellar, contributing to the eerie atmosphere surrounding Marley’s Ghost."', 'source_id': 'chunk-9c43dac2fcd5b578242d907ea6f8fc7b'}> +2024-10-30 06:04:15,292 - lightrag - INFO - _do_upsert:query: + MERGE (n:`THE CASK`) + SET n += $properties + RETURN n + :result:{'entity_type': '"GEO"', 'description': '"The Cask is part of the cellar, contributing to the sounds associated with Marley\'s Ghost and aiding in creating a sense of dread.""The Cask is part of the sounds emerging from the cellar, contributing to the eerie atmosphere surrounding Marley’s Ghost.""The Cask is part of the sounds emerging from the cellar, contributing to the eerie atmosphere surrounding Marley’s Ghost.""The Cask is part of the sounds emerging from the cellar, contributing to the eerie atmosphere surrounding Marley’s Ghost.""The Cask is part of the sounds emerging from the cellar, contributing to the eerie atmosphere surrounding Marley’s Ghost."', 'source_id': 'chunk-9c43dac2fcd5b578242d907ea6f8fc7b'} +2024-10-30 06:04:15,429 - lightrag - INFO - get_node:query:MATCH (n:`MARLEY'S GHOST`) RETURN n:result:"Marley\'s Ghost is a spectral figure that represents Scrooge\'s past partner who has returned to convey a message, encapsulating themes of guilt and redemption.""Marley\'s Ghost is a spectral figure that represents Scrooge\'s past partner who has returned to convey a message, encapsulating themes of guilt and redemption.""Marley\'s Ghost is a spectral figure who appears to Scrooge to warn him of the impending visits from three spirits, representing remorse for his past deeds.""Marley\'s Ghost is a spectral visitation that deeply troubles Scrooge and causes him great perplexity, leading him to question the reality of his experiences.""Marley\'s Ghost represents the supernatural apparition of Marley, who has been dead for seven years and symbolizes regret and warning to Scrooge.""Marley\'s Ghost is an unearthly visitor that appears to Scrooge, causing him to question the nature of reality and dreams.""Marley\'s Ghost is the spectral figure of Jacob Marley, who appears to forewarn Scrooge about his fate and the necessity of change in his life.""Marley\'s Ghost is an unearthly visitor that appears to Scrooge, causing him to question the nature of reality and dreams.""Marley\'s Ghost is the spectral figure of Jacob Marley, who appears to forewarn Scrooge about his fate and the necessity of change in his life.""Marley\'s Ghost is an unearthly visitor that appears to Scrooge, causing him to question the nature of reality and dreams.""Marley\'s Ghost is the spectral figure of Jacob Marley, who appears to forewarn Scrooge about his fate and the necessity of change in his life."', 'source_id': 'chunk-c7b10789a9cb0af6c553730b29bd9034chunk-cb661c37436355ccec2769b1d0350c5fchunk-9c43dac2fcd5b578242d907ea6f8fc7bchunk-1aa50206d02ed89418f65f97c6441d1c'}> +2024-10-30 06:04:15,567 - lightrag - INFO - _do_upsert:query: + MERGE (n:`MARLEY'S GHOST`) + SET n += $properties + RETURN n + :result:{'entity_type': '"EVENT"', 'description': '"Marley\'s Ghost is a spectral figure that represents Scrooge\'s past partner who has returned to convey a message, encapsulating themes of guilt and redemption.""Marley\'s Ghost is a spectral figure that represents Scrooge\'s past partner who has returned to convey a message, encapsulating themes of guilt and redemption.""Marley\'s Ghost is a spectral figure that represents Scrooge\'s past partner who has returned to convey a message, encapsulating themes of guilt and redemption.""Marley\'s Ghost is a spectral figure that represents Scrooge\'s past partner who has returned to convey a message, encapsulating themes of guilt and redemption.""Marley\'s Ghost is a spectral figure who appears to Scrooge to warn him of the impending visits from three spirits, representing remorse for his past deeds.""Marley\'s Ghost is a spectral visitation that deeply troubles Scrooge and causes him great perplexity, leading him to question the reality of his experiences.""Marley\'s Ghost represents the supernatural apparition of Marley, who has been dead for seven years and symbolizes regret and warning to Scrooge.""Marley\'s Ghost is an unearthly visitor that appears to Scrooge, causing him to question the nature of reality and dreams.""Marley\'s Ghost is the spectral figure of Jacob Marley, who appears to forewarn Scrooge about his fate and the necessity of change in his life.""Marley\'s Ghost is an unearthly visitor that appears to Scrooge, causing him to question the nature of reality and dreams.""Marley\'s Ghost is the spectral figure of Jacob Marley, who appears to forewarn Scrooge about his fate and the necessity of change in his life.""Marley\'s Ghost is an unearthly visitor that appears to Scrooge, causing him to question the nature of reality and dreams.""Marley\'s Ghost is the spectral figure of Jacob Marley, who appears to forewarn Scrooge about his fate and the necessity of change in his life.""Marley\'s Ghost is an unearthly visitor that appears to Scrooge, causing him to question the nature of reality and dreams.""Marley\'s Ghost is the spectral figure of Jacob Marley, who appears to forewarn Scrooge about his fate and the necessity of change in his life."', 'source_id': 'chunk-1aa50206d02ed89418f65f97c6441d1cchunk-cb661c37436355ccec2769b1d0350c5fchunk-c7b10789a9cb0af6c553730b29bd9034chunk-9c43dac2fcd5b578242d907ea6f8fc7b'} +2024-10-30 06:04:15,699 - lightrag - INFO - get_node:query:MATCH (n:`JACOB MARLEY`) RETURN n:result:"Jacob Marley is Scrooge\'s deceased partner, who appears in spirit to influence Scrooge\'s journey towards redemption.""Jacob Marley is a spirit who influences Scrooge\'s change of heart, representing a connection to Scrooge\'s past and the theme of redemption.""Jacob Marley is the deceased business partner of Scrooge, whose ghost visits him to convey a message about the importance of charity and kindness.""Jacob Marley is the deceased partner of Scrooge who shows concern for Scrooge\'s fate and the importance of change in his life.""Jacob Marley is the ghost of Scrooge\'s former business partner, who foretells the consequences of Scrooge\'s selfishness and warns him to change his ways.""Jacob Marley is the ghost of Scrooge\'s former partner, who appears to warn Scrooge about his fate and the need for change in his life."Jacob Marley is the deceased business partner of Ebenezer Scrooge, who appears as a ghost to convey significant messages about the consequences of a life lived without compassion. He is depicted as wearing chains, which symbolize the burden of his past misdeeds and the regrets that haunt him. Marley plays a crucial role in introducing the spirits that guide Scrooge on his journey toward redemption.\n\nAs a ghost, Jacob Marley warns Scrooge about his impending fate if he continues on his selfish path, highlighting the importance of charity, kindness, and connection to humanity. Through his visitation, Marley seeks to influence Scrooge\'s change of heart by representing both the weight of one\'s past actions and the potential for transformation. His presence serves as a catalyst for Scrooge’s eventual realization of the need for change, compelling him to reflect on his life choices and the impact they have on others.', 'source_id': 'chunk-02baee20cc9463dbe08170a8e1043e32chunk-cb661c37436355ccec2769b1d0350c5fchunk-1aa50206d02ed89418f65f97c6441d1cchunk-91572b3cd42786ba4cb2f180ca25cbf4chunk-da2472b4ef2a535b62908f14d0fb0ca9chunk-90b95db5c53e4364a6bee36b7aa4d70fchunk-359187e7571bda4b0b08b2e0b6581e52'}> +2024-10-30 06:04:15,701 - lightrag - DEBUG - Trigger summary: "JACOB MARLEY" +2024-10-30 06:04:15,799 - lightrag - INFO - get_node:query:MATCH (n:`THE CHAIN`) RETURN n:result:"The Chain symbolizes the burdens of the past that haunt the spirits, showcasing the consequences of one\'s actions in life.""The Chain represents the burdens of greed and the consequences of one\'s actions, worn by Marley\'s Ghost as a physical manifestation of his regrets.""The Chain represents the burdens of regret and guilt that haunt Marley and serve as a warning to Scrooge about the consequences of a life poorly lived.""The Chain represents the burdens of greed and the consequences of one\'s actions, worn by Marley\'s Ghost as a physical manifestation of his regrets.""The Chain represents the burdens of regret and guilt that haunt Marley and serve as a warning to Scrooge about the consequences of a life poorly lived.""The Chain represents the burdens of greed and the consequences of one\'s actions, worn by Marley\'s Ghost as a physical manifestation of his regrets.""The Chain represents the burdens of regret and guilt that haunt Marley and serve as a warning to Scrooge about the consequences of a life poorly lived."', 'source_id': 'chunk-359187e7571bda4b0b08b2e0b6581e52chunk-cb661c37436355ccec2769b1d0350c5fchunk-1aa50206d02ed89418f65f97c6441d1c'}> +2024-10-30 06:04:15,935 - lightrag - INFO - _do_upsert:query: + MERGE (n:`THE CHAIN`) + SET n += $properties + RETURN n + :result:{'entity_type': '"CONCEPT"', 'description': '"The Chain refers to the symbolic burden that Marley carries, representing the consequences of his actions and the remorse that traps him in his spectral form.""The Chain symbolizes the burdens of the past that haunt the spirits, showcasing the consequences of one\'s actions in life.""The Chain represents the burdens of greed and the consequences of one\'s actions, worn by Marley\'s Ghost as a physical manifestation of his regrets.""The Chain represents the burdens of regret and guilt that haunt Marley and serve as a warning to Scrooge about the consequences of a life poorly lived.""The Chain represents the burdens of greed and the consequences of one\'s actions, worn by Marley\'s Ghost as a physical manifestation of his regrets.""The Chain represents the burdens of regret and guilt that haunt Marley and serve as a warning to Scrooge about the consequences of a life poorly lived.""The Chain represents the burdens of greed and the consequences of one\'s actions, worn by Marley\'s Ghost as a physical manifestation of his regrets.""The Chain represents the burdens of regret and guilt that haunt Marley and serve as a warning to Scrooge about the consequences of a life poorly lived.""The Chain represents the burdens of greed and the consequences of one\'s actions, worn by Marley\'s Ghost as a physical manifestation of his regrets.""The Chain represents the burdens of regret and guilt that haunt Marley and serve as a warning to Scrooge about the consequences of a life poorly lived."', 'source_id': 'chunk-1aa50206d02ed89418f65f97c6441d1cchunk-cb661c37436355ccec2769b1d0350c5fchunk-359187e7571bda4b0b08b2e0b6581e52'} +2024-10-30 06:04:16,070 - lightrag - INFO - get_node:query:MATCH (n:`THE HEAVY DOOR`) RETURN n:result:"The Heavy Door symbolizes the threshold between life and death, as well as the barriers between Scrooge and the supernatural world.""The Heavy Door symbolizes the threshold between life and death, as well as the barriers between Scrooge and the supernatural world.""The heavy door is a physical boundary encountered by Scrooge, marking the transition between the ordinary world and the supernatural visitation."', 'source_id': 'chunk-1aa50206d02ed89418f65f97c6441d1c'}> +2024-10-30 06:04:16,205 - lightrag - INFO - _do_upsert:query: + MERGE (n:`THE HEAVY DOOR`) + SET n += $properties + RETURN n + :result:{'entity_type': '"CONCEPT"', 'description': '"The Heavy Door symbolizes the threshold between life and death, as well as the barriers between Scrooge and the supernatural world.""The Heavy Door symbolizes the threshold between life and death, as well as the barriers between Scrooge and the supernatural world.""The Heavy Door symbolizes the threshold between life and death, as well as the barriers between Scrooge and the supernatural world.""The Heavy Door symbolizes the threshold between life and death, as well as the barriers between Scrooge and the supernatural world.""The heavy door is a physical boundary encountered by Scrooge, marking the transition between the ordinary world and the supernatural visitation."', 'source_id': 'chunk-1aa50206d02ed89418f65f97c6441d1c'} +2024-10-30 06:04:16,337 - lightrag - INFO - get_node:query:MATCH (n:`THE SPECTRE`) RETURN n:result: +2024-10-30 06:04:16,475 - lightrag - INFO - _do_upsert:query: + MERGE (n:`THE SPECTRE`) + SET n += $properties + RETURN n + :result:{'entity_type': '"CONCEPT"', 'description': '"The Spectre refers to the ghostly presence of Marley that embodies the themes of haunting and reflection on one\'s life choices."', 'source_id': 'chunk-1aa50206d02ed89418f65f97c6441d1c'} +2024-10-30 06:04:16,605 - lightrag - INFO - get_node:query:MATCH (n:`INFERNAL ATMOSPHERE`) RETURN n:result: +2024-10-30 06:04:16,739 - lightrag - INFO - _do_upsert:query: + MERGE (n:`INFERNAL ATMOSPHERE`) + SET n += $properties + RETURN n + :result:{'entity_type': '"CONCEPT"', 'description': '"The Infernal Atmosphere refers to the unsettling environment surrounding Marley\'s Ghost, indicating the discomfort and fear associated with his presence."', 'source_id': 'chunk-1aa50206d02ed89418f65f97c6441d1c'} +2024-10-30 06:04:16,870 - lightrag - INFO - get_node:query:MATCH (n:`THE CHAIR`) RETURN n:result: +2024-10-30 06:04:17,007 - lightrag - INFO - _do_upsert:query: + MERGE (n:`THE CHAIR`) + SET n += $properties + RETURN n + :result:{'entity_type': '"CONCEPT"', 'description': '"The Chair represents the symbol of comfort and safety that Scrooge clings to while facing the terrifying apparition."', 'source_id': 'chunk-1aa50206d02ed89418f65f97c6441d1c'} +2024-10-30 06:04:17,135 - lightrag - INFO - get_node:query:MATCH (n:`THE VISION`) RETURN n:result: +2024-10-30 06:04:17,270 - lightrag - INFO - _do_upsert:query: + MERGE (n:`THE VISION`) + SET n += $properties + RETURN n + :result:{'entity_type': '"CONCEPT"', 'description': '"The Vision refers to the haunting imagery that Scrooge perceives, reflecting his inner turmoil and conflict with reality."', 'source_id': 'chunk-1aa50206d02ed89418f65f97c6441d1c'} +2024-10-30 06:04:17,397 - lightrag - INFO - get_node:query:MATCH (n:`THE BANDAGE`) RETURN n:result:"The Bandage represents the ghost\'s attempt to maintain semblance in his appearance while revealing his true ghostly form.""The Bandage represents the ghost\'s attempt to maintain semblance in his appearance while revealing his true ghostly form.""The bandage is an item used by the ghost, symbolizing decay and the remnants of Marley’s struggle with his own existence post-death."', 'source_id': 'chunk-1aa50206d02ed89418f65f97c6441d1c'}> +2024-10-30 06:04:17,534 - lightrag - INFO - _do_upsert:query: + MERGE (n:`THE BANDAGE`) + SET n += $properties + RETURN n + :result:{'entity_type': '"CONCEPT"', 'description': '"The Bandage represents the ghost\'s attempt to maintain semblance in his appearance while revealing his true ghostly form.""The Bandage represents the ghost\'s attempt to maintain semblance in his appearance while revealing his true ghostly form.""The Bandage represents the ghost\'s attempt to maintain semblance in his appearance while revealing his true ghostly form.""The Bandage represents the ghost\'s attempt to maintain semblance in his appearance while revealing his true ghostly form.""The bandage is an item used by the ghost, symbolizing decay and the remnants of Marley’s struggle with his own existence post-death."', 'source_id': 'chunk-1aa50206d02ed89418f65f97c6441d1c'} +2024-10-30 06:04:17,668 - lightrag - INFO - get_node:query:MATCH (n:`GHOST`) RETURN n:result:"The Ghost refers to the spirit guiding Scrooge, embodying the themes of memory and reflection on the joys of Christmas.""The Ghost represents a spiritual guide that takes Scrooge on a journey to learn important lessons about compassion and humanity.""The Ghost serves as a supernatural guide for Scrooge, prompting him to reflect on his life and choices.""The Ghost is the spirit of Jacob Marley, who expresses remorse for his life and warns Scrooge about the consequences of ignoring his moral duties.""The Ghost is the spirit of Jacob Marley, who expresses remorse for his life and warns Scrooge about the consequences of ignoring his moral duties.""The Ghost is the spirit of Jacob Marley, who expresses remorse for his life and warns Scrooge about the consequences of ignoring his moral duties."', 'source_id': 'chunk-e7637ff18c5ded77a68cce0a87883fadchunk-c6c248858d1b13ab7ee9ca13c1aeed6bchunk-43c9bee23adfa77aa9dedd22401bba7dchunk-503f0bfa5453467c7c61d160a3540ecachunk-359187e7571bda4b0b08b2e0b6581e52'}> +2024-10-30 06:04:17,801 - lightrag - INFO - _do_upsert:query: + MERGE (n:`GHOST`) + SET n += $properties + RETURN n + :result:{'entity_type': '"PERSON"', 'description': '"The Ghost is a supernatural entity that provides guidance and reflection on Scrooge\'s past, representing moral and societal themes.""The Ghost refers to the spirit guiding Scrooge, embodying the themes of memory and reflection on the joys of Christmas.""The Ghost represents a spiritual guide that takes Scrooge on a journey to learn important lessons about compassion and humanity.""The Ghost serves as a supernatural guide for Scrooge, prompting him to reflect on his life and choices.""The Ghost is the spirit of Jacob Marley, who expresses remorse for his life and warns Scrooge about the consequences of ignoring his moral duties.""The Ghost is the spirit of Jacob Marley, who expresses remorse for his life and warns Scrooge about the consequences of ignoring his moral duties.""The Ghost is the spirit of Jacob Marley, who expresses remorse for his life and warns Scrooge about the consequences of ignoring his moral duties.""The Ghost is the spirit of Jacob Marley, who expresses remorse for his life and warns Scrooge about the consequences of ignoring his moral duties."', 'source_id': 'chunk-e7637ff18c5ded77a68cce0a87883fadchunk-503f0bfa5453467c7c61d160a3540ecachunk-359187e7571bda4b0b08b2e0b6581e52chunk-43c9bee23adfa77aa9dedd22401bba7dchunk-c6c248858d1b13ab7ee9ca13c1aeed6b'} +2024-10-30 06:04:17,933 - lightrag - INFO - get_node:query:MATCH (n:`CHRISTMAS EVES`) RETURN n:result:"Christmas Eves refer to the time periods associated with the spirits\' visits, specifically connecting to themes of reflection and redemption during the festive season.""Christmas Eves refer to the time periods associated with the spirits\' visits, specifically connecting to themes of reflection and redemption during the festive season.""Christmas Eves refers to the recurring time periods that Marley reflects upon, indicating the weight of his past decisions leading to regret."', 'source_id': 'chunk-359187e7571bda4b0b08b2e0b6581e52'}> +2024-10-30 06:04:18,068 - lightrag - INFO - _do_upsert:query: + MERGE (n:`CHRISTMAS EVES`) + SET n += $properties + RETURN n + :result:{'entity_type': '"EVENT"', 'description': '"Christmas Eves refer to the time periods associated with the spirits\' visits, specifically connecting to themes of reflection and redemption during the festive season.""Christmas Eves refer to the time periods associated with the spirits\' visits, specifically connecting to themes of reflection and redemption during the festive season.""Christmas Eves refer to the time periods associated with the spirits\' visits, specifically connecting to themes of reflection and redemption during the festive season.""Christmas Eves refer to the time periods associated with the spirits\' visits, specifically connecting to themes of reflection and redemption during the festive season.""Christmas Eves refers to the recurring time periods that Marley reflects upon, indicating the weight of his past decisions leading to regret."', 'source_id': 'chunk-359187e7571bda4b0b08b2e0b6581e52'} +2024-10-30 06:04:18,200 - lightrag - INFO - get_node:query:MATCH (n:`MANKIND`) RETURN n:result:"Mankind is referenced as a significant concern that should have been the focus of Scrooge\'s life, highlighting the importance of universal compassion and care.""Mankind is referenced as a significant concern that should have been the focus of Scrooge\'s life, highlighting the importance of universal compassion and care.""Mankind signifies the broader human community, which Marley claims should be the focus of compassionate effort rather than mere business pursuits."', 'source_id': 'chunk-359187e7571bda4b0b08b2e0b6581e52'}> +2024-10-30 06:04:18,355 - lightrag - INFO - _do_upsert:query: + MERGE (n:`MANKIND`) + SET n += $properties + RETURN n + :result:{'entity_type': '"CONCEPT"', 'description': '"Mankind is referenced as a significant concern that should have been the focus of Scrooge\'s life, highlighting the importance of universal compassion and care.""Mankind is referenced as a significant concern that should have been the focus of Scrooge\'s life, highlighting the importance of universal compassion and care.""Mankind is referenced as a significant concern that should have been the focus of Scrooge\'s life, highlighting the importance of universal compassion and care.""Mankind is referenced as a significant concern that should have been the focus of Scrooge\'s life, highlighting the importance of universal compassion and care.""Mankind signifies the broader human community, which Marley claims should be the focus of compassionate effort rather than mere business pursuits."', 'source_id': 'chunk-359187e7571bda4b0b08b2e0b6581e52'} +2024-10-30 06:04:18,485 - lightrag - INFO - get_node:query:MATCH (n:`ETERNAL CHAIN`) RETURN n:result: +2024-10-30 06:04:18,621 - lightrag - INFO - _do_upsert:query: + MERGE (n:`ETERNAL CHAIN`) + SET n += $properties + RETURN n + :result:{'entity_type': '"CONCEPT"', 'description': '"The Eternal Chain represents the burdens and consequences of one\'s actions in life, symbolizing the weight of regret carried by the Ghost."', 'source_id': 'chunk-359187e7571bda4b0b08b2e0b6581e52'} +2024-10-30 06:04:18,751 - lightrag - INFO - get_node:query:MATCH (n:`STAR`) RETURN n:result: +2024-10-30 06:04:18,887 - lightrag - INFO - _do_upsert:query: + MERGE (n:`STAR`) + SET n += $properties + RETURN n + :result:{'entity_type': '"GEO"', 'description': '"The Star symbolizes guidance and hope, referenced in connection with the Wise Men, representing the potential for enlightenment and moral direction."', 'source_id': 'chunk-359187e7571bda4b0b08b2e0b6581e52'} +2024-10-30 06:04:19,017 - lightrag - INFO - get_node:query:MATCH (n:`WISE MEN`) RETURN n:result: +2024-10-30 06:04:19,151 - lightrag - INFO - _do_upsert:query: + MERGE (n:`WISE MEN`) + SET n += $properties + RETURN n + :result:{'entity_type': '"PERSON"', 'description': '"The Wise Men are figures who followed the Star to bring gifts, embodying the values of recognition and generosity that Scrooge has neglected."', 'source_id': 'chunk-359187e7571bda4b0b08b2e0b6581e52'} +2024-10-30 06:04:19,283 - lightrag - INFO - get_node:query:MATCH (n:`FELLOW-BEINGS`) RETURN n:result: +2024-10-30 06:04:19,418 - lightrag - INFO - _do_upsert:query: + MERGE (n:`FELLOW-BEINGS`) + SET n += $properties + RETURN n + :result:{'entity_type': '"CONCEPT"', 'description': '"Fellow-beings are the people whom Scrooge ignored in life, representing the importance of community and connection."', 'source_id': 'chunk-359187e7571bda4b0b08b2e0b6581e52'} +2024-10-30 06:04:19,547 - lightrag - INFO - get_node:query:MATCH (n:`CHRISTMAS SPIRIT`) RETURN n:result: +2024-10-30 06:04:19,680 - lightrag - INFO - _do_upsert:query: + MERGE (n:`CHRISTMAS SPIRIT`) + SET n += $properties + RETURN n + :result:{'entity_type': '"CONCEPT"', 'description': '"The Christmas Spirit represents the ideals of generosity and kindness associated with the holiday season, which the Ghost encourages Scrooge to embrace."', 'source_id': 'chunk-359187e7571bda4b0b08b2e0b6581e52'} +2024-10-30 06:04:19,809 - lightrag - INFO - get_node:query:MATCH (n:`SPECTRE`) RETURN n:result: +2024-10-30 06:04:19,944 - lightrag - INFO - _do_upsert:query: + MERGE (n:`SPECTRE`) + SET n += $properties + RETURN n + :result:{'entity_type': '"PERSON"', 'description': '"The Spectre is another term for the Ghost, representing a manifestation of guilt and the need for change in Scrooge\'s life."', 'source_id': 'chunk-359187e7571bda4b0b08b2e0b6581e52'} +2024-10-30 06:04:20,072 - lightrag - INFO - get_node:query:MATCH (n:`THE THREE SPIRITS`) RETURN n:result:"The Three Spirits are the apparitions that Jacob Marley warns Scrooge about, who will visit him to guide him toward redemption.""The Three Spirits are the apparitions that Jacob Marley warns Scrooge about, who will visit him to guide him toward redemption.""The Three Spirits refer to the supernatural beings that are prophesied to visit Scrooge, each representing different aspects of time and morality."', 'source_id': 'chunk-cb661c37436355ccec2769b1d0350c5f'}> +2024-10-30 06:04:20,206 - lightrag - INFO - _do_upsert:query: + MERGE (n:`THE THREE SPIRITS`) + SET n += $properties + RETURN n + :result:{'entity_type': '"EVENT"', 'description': '"The Three Spirits are the apparitions that Jacob Marley warns Scrooge about, who will visit him to guide him toward redemption.""The Three Spirits are the apparitions that Jacob Marley warns Scrooge about, who will visit him to guide him toward redemption.""The Three Spirits are the apparitions that Jacob Marley warns Scrooge about, who will visit him to guide him toward redemption.""The Three Spirits are the apparitions that Jacob Marley warns Scrooge about, who will visit him to guide him toward redemption.""The Three Spirits refer to the supernatural beings that are prophesied to visit Scrooge, each representing different aspects of time and morality."', 'source_id': 'chunk-cb661c37436355ccec2769b1d0350c5f'} +2024-10-30 06:04:20,335 - lightrag - INFO - get_node:query:MATCH (n:`THE PHANTOM VOICES`) RETURN n:result: +2024-10-30 06:04:20,471 - lightrag - INFO - _do_upsert:query: + MERGE (n:`THE PHANTOM VOICES`) + SET n += $properties + RETURN n + :result:{'entity_type': '"EVENT"', 'description': '"The Phantom Voices refer to the sorrowful sounds of lamentation that Scrooge hears as the apparitions wander, representing lost opportunities and regret."', 'source_id': 'chunk-cb661c37436355ccec2769b1d0350c5f'} +2024-10-30 06:04:20,602 - lightrag - INFO - get_node:query:MATCH (n:`THE WINDOW`) RETURN n:result:"The Window is a physical presence in Scrooge\'s chamber that he approaches to observe the supernatural occurrences outside.""The Window is a physical presence in Scrooge\'s chamber that he approaches to observe the supernatural occurrences outside.""The Window represents a threshold between the visible and invisible worlds, allowing Scrooge a view into the realm of spirits and their lamentations."', 'source_id': 'chunk-cb661c37436355ccec2769b1d0350c5f'}> +2024-10-30 06:04:20,731 - lightrag - INFO - _do_upsert:query: + MERGE (n:`THE WINDOW`) + SET n += $properties + RETURN n + :result:{'entity_type': '"GEO"', 'description': '"The Window is a physical presence in Scrooge\'s chamber that he approaches to observe the supernatural occurrences outside.""The Window is a physical presence in Scrooge\'s chamber that he approaches to observe the supernatural occurrences outside.""The Window is a physical presence in Scrooge\'s chamber that he approaches to observe the supernatural occurrences outside.""The Window is a physical presence in Scrooge\'s chamber that he approaches to observe the supernatural occurrences outside.""The Window represents a threshold between the visible and invisible worlds, allowing Scrooge a view into the realm of spirits and their lamentations."', 'source_id': 'chunk-cb661c37436355ccec2769b1d0350c5f'} +2024-10-30 06:04:20,861 - lightrag - INFO - get_node:query:MATCH (n:`THE CLOCK`) RETURN n:result:"The Clock is mentioned as malfunctioning, which symbolizes the confusion and distortion of time that Scrooge experiences during his nighttime visitations.""The Clock serves as a symbol of time passing, reflecting Scrooge\'s disorientation regarding time as he transitions between reality and the supernatural.""The Clock signifies the passage of time during the Domestic Ball and plays a role in marking the end of the celebration.""The Clock serves as a symbol of time passing, reflecting Scrooge\'s disorientation regarding time as he transitions between reality and the supernatural.""The Clock signifies the passage of time during the Domestic Ball and plays a role in marking the end of the celebration.""The Clock serves as a symbol of time passing, reflecting Scrooge\'s disorientation regarding time as he transitions between reality and the supernatural.""The Clock signifies the passage of time during the Domestic Ball and plays a role in marking the end of the celebration."', 'source_id': 'chunk-c7b10789a9cb0af6c553730b29bd9034chunk-cb661c37436355ccec2769b1d0350c5fchunk-b2f98bc7abb0c67d4c86055c7fd72218'}> +2024-10-30 06:04:20,996 - lightrag - INFO - _do_upsert:query: + MERGE (n:`THE CLOCK`) + SET n += $properties + RETURN n + :result:{'entity_type': '"GEO"', 'description': '"The Clock is a device that malfunctions, contributing to Scrooge\'s confusion about time and reality in the narrative.""The Clock is mentioned as malfunctioning, which symbolizes the confusion and distortion of time that Scrooge experiences during his nighttime visitations.""The Clock serves as a symbol of time passing, reflecting Scrooge\'s disorientation regarding time as he transitions between reality and the supernatural.""The Clock signifies the passage of time during the Domestic Ball and plays a role in marking the end of the celebration.""The Clock serves as a symbol of time passing, reflecting Scrooge\'s disorientation regarding time as he transitions between reality and the supernatural.""The Clock signifies the passage of time during the Domestic Ball and plays a role in marking the end of the celebration.""The Clock serves as a symbol of time passing, reflecting Scrooge\'s disorientation regarding time as he transitions between reality and the supernatural.""The Clock signifies the passage of time during the Domestic Ball and plays a role in marking the end of the celebration.""The Clock serves as a symbol of time passing, reflecting Scrooge\'s disorientation regarding time as he transitions between reality and the supernatural.""The Clock signifies the passage of time during the Domestic Ball and plays a role in marking the end of the celebration."', 'source_id': 'chunk-cb661c37436355ccec2769b1d0350c5fchunk-c7b10789a9cb0af6c553730b29bd9034chunk-b2f98bc7abb0c67d4c86055c7fd72218'} +2024-10-30 06:04:21,127 - lightrag - INFO - get_node:query:MATCH (n:`THE DARKNESS`) RETURN n:result:"The Darkness symbolizes the confusion and the unknown that envelops Scrooge as he faces the reality of his past, present, and future.""The Darkness symbolizes the confusion and the unknown that envelops Scrooge as he faces the reality of his past, present, and future.""The Darkness symbolizes the confusion and the unknown that envelops Scrooge as he faces the reality of his past, present, and future."', 'source_id': 'chunk-cb661c37436355ccec2769b1d0350c5f'}> +2024-10-30 06:04:21,265 - lightrag - INFO - _do_upsert:query: + MERGE (n:`THE DARKNESS`) + SET n += $properties + RETURN n + :result:{'entity_type': '"CONCEPT"', 'description': '"The Darkness refers to the absence of light, signifying uncertainty and fear in Scrooge\'s transformation journey.""The Darkness symbolizes the confusion and the unknown that envelops Scrooge as he faces the reality of his past, present, and future.""The Darkness symbolizes the confusion and the unknown that envelops Scrooge as he faces the reality of his past, present, and future.""The Darkness symbolizes the confusion and the unknown that envelops Scrooge as he faces the reality of his past, present, and future.""The Darkness symbolizes the confusion and the unknown that envelops Scrooge as he faces the reality of his past, present, and future."', 'source_id': 'chunk-cb661c37436355ccec2769b1d0350c5f'} +2024-10-30 06:04:21,402 - lightrag - INFO - get_node:query:MATCH (n:`CLOCK`) RETURN n:result: +2024-10-30 06:04:21,540 - lightrag - INFO - _do_upsert:query: + MERGE (n:`CLOCK`) + SET n += $properties + RETURN n + :result:{'entity_type': '"ORGANIZATION"', 'description': '"The Clock symbolizes the passage of time and plays a pivotal role in establishing the moments of Scrooge\'s experience with the Ghost."', 'source_id': 'chunk-c7b10789a9cb0af6c553730b29bd9034'} +2024-10-30 06:04:21,670 - lightrag - INFO - get_node:query:MATCH (n:`HOLLY`) RETURN n:result:"Holly is a plant associated with Christmas, mentioned among other decorations that contribute to the festive atmosphere.""Holly is a symbol held by The Ghost, representing peace and goodwill, contrasting with the cold wintry atmosphere around Scrooge.""Holly is mentioned as part of the traditional decorations associated with Christmas, symbolizing festivity.""Holly represents a traditional decoration associated with Christmas, symbolizing festivity and the presence of the Christmas spirit.""Holly is a symbol held by The Ghost, representing peace and goodwill, contrasting with the cold wintry atmosphere around Scrooge.""Holly is mentioned as part of the traditional decorations associated with Christmas, symbolizing festivity.""Holly represents a traditional decoration associated with Christmas, symbolizing festivity and the presence of the Christmas spirit.""Holly is a symbol held by The Ghost, representing peace and goodwill, contrasting with the cold wintry atmosphere around Scrooge.""Holly is mentioned as part of the traditional decorations associated with Christmas, symbolizing festivity.""Holly represents a traditional decoration associated with Christmas, symbolizing festivity and the presence of the Christmas spirit."', 'source_id': 'chunk-c7b10789a9cb0af6c553730b29bd9034chunk-843b5b2f944c7413d9ca876e2e2f151fchunk-99b0ec7f7e006561352b5d65e849611d'}> +2024-10-30 06:04:21,809 - lightrag - INFO - _do_upsert:query: + MERGE (n:`HOLLY`) + SET n += $properties + RETURN n + :result:{'entity_type': '"ORGANIZATION"', 'description': '"Holly is a plant associated with Christmas, featured prominently in the Spirit\'s attire, symbolizing joy and celebration during the festive season.""Holly is a plant associated with Christmas, mentioned among other decorations that contribute to the festive atmosphere.""Holly is a symbol held by The Ghost, representing peace and goodwill, contrasting with the cold wintry atmosphere around Scrooge.""Holly is mentioned as part of the traditional decorations associated with Christmas, symbolizing festivity.""Holly represents a traditional decoration associated with Christmas, symbolizing festivity and the presence of the Christmas spirit.""Holly is a symbol held by The Ghost, representing peace and goodwill, contrasting with the cold wintry atmosphere around Scrooge.""Holly is mentioned as part of the traditional decorations associated with Christmas, symbolizing festivity.""Holly represents a traditional decoration associated with Christmas, symbolizing festivity and the presence of the Christmas spirit.""Holly is a symbol held by The Ghost, representing peace and goodwill, contrasting with the cold wintry atmosphere around Scrooge.""Holly is mentioned as part of the traditional decorations associated with Christmas, symbolizing festivity.""Holly represents a traditional decoration associated with Christmas, symbolizing festivity and the presence of the Christmas spirit.""Holly is a symbol held by The Ghost, representing peace and goodwill, contrasting with the cold wintry atmosphere around Scrooge.""Holly is mentioned as part of the traditional decorations associated with Christmas, symbolizing festivity.""Holly represents a traditional decoration associated with Christmas, symbolizing festivity and the presence of the Christmas spirit."', 'source_id': 'chunk-843b5b2f944c7413d9ca876e2e2f151fchunk-c7b10789a9cb0af6c553730b29bd9034chunk-99b0ec7f7e006561352b5d65e849611d'} +2024-10-30 06:04:21,941 - lightrag - INFO - get_node:query:MATCH (n:`LIGHT`) RETURN n:result:"Light is a prominent feature associated with The Ghost, symbolizing knowledge and revelation, illuminating the darkness of Scrooge\'s ignorance.""Light is a prominent feature associated with The Ghost, symbolizing knowledge and revelation, illuminating the darkness of Scrooge\'s ignorance.""Light is a prominent feature associated with The Ghost, symbolizing knowledge and revelation, illuminating the darkness of Scrooge\'s ignorance."', 'source_id': 'chunk-c7b10789a9cb0af6c553730b29bd9034'}> +2024-10-30 06:04:22,075 - lightrag - INFO - _do_upsert:query: + MERGE (n:`LIGHT`) + SET n += $properties + RETURN n + :result:{'entity_type': '"CONCEPT"', 'description': '"Light emanates from The Visitor, symbolizing clarity, revelation, and the supernatural, contrasting with the darkness around Scrooge\'s situation.""Light is a prominent feature associated with The Ghost, symbolizing knowledge and revelation, illuminating the darkness of Scrooge\'s ignorance.""Light is a prominent feature associated with The Ghost, symbolizing knowledge and revelation, illuminating the darkness of Scrooge\'s ignorance.""Light is a prominent feature associated with The Ghost, symbolizing knowledge and revelation, illuminating the darkness of Scrooge\'s ignorance.""Light is a prominent feature associated with The Ghost, symbolizing knowledge and revelation, illuminating the darkness of Scrooge\'s ignorance."', 'source_id': 'chunk-c7b10789a9cb0af6c553730b29bd9034'} +2024-10-30 06:04:22,203 - lightrag - INFO - get_node:query:MATCH (n:`WINTER`) RETURN n:result: +2024-10-30 06:04:22,338 - lightrag - INFO - _do_upsert:query: + MERGE (n:`WINTER`) + SET n += $properties + RETURN n + :result:{'entity_type': '"GEO"', 'description': '"Winter represents the cold and bleak environment that surrounds Scrooge during his nighttime encounters with the supernatural."', 'source_id': 'chunk-c7b10789a9cb0af6c553730b29bd9034'} +2024-10-30 06:04:22,467 - lightrag - INFO - get_node:query:MATCH (n:`THE DRESSING-GOWN`) RETURN n:result:"The Dressing-Gown is worn by Scrooge, symbolizing his state of vulnerability and introspection as he grapples with profound ideas in the narrative.""The Dressing-Gown is worn by Scrooge, symbolizing his state of vulnerability and introspection as he grapples with profound ideas in the narrative.""The Dressing-Gown is worn by Scrooge, symbolizing his state of vulnerability and introspection as he grapples with profound ideas in the narrative."', 'source_id': 'chunk-c7b10789a9cb0af6c553730b29bd9034chunk-9c43dac2fcd5b578242d907ea6f8fc7b'}> +2024-10-30 06:04:22,601 - lightrag - INFO - _do_upsert:query: + MERGE (n:`THE DRESSING-GOWN`) + SET n += $properties + RETURN n + :result:{'entity_type': '"ORGANIZATION"', 'description': '"The Dressing-Gown is worn by Scrooge, illustrating his solitary, night-time routine and emphasizing his isolation.""The Dressing-Gown is worn by Scrooge, symbolizing his state of vulnerability and introspection as he grapples with profound ideas in the narrative.""The Dressing-Gown is worn by Scrooge, symbolizing his state of vulnerability and introspection as he grapples with profound ideas in the narrative.""The Dressing-Gown is worn by Scrooge, symbolizing his state of vulnerability and introspection as he grapples with profound ideas in the narrative.""The Dressing-Gown is worn by Scrooge, symbolizing his state of vulnerability and introspection as he grapples with profound ideas in the narrative."', 'source_id': 'chunk-9c43dac2fcd5b578242d907ea6f8fc7bchunk-c7b10789a9cb0af6c553730b29bd9034'} +2024-10-30 06:04:22,732 - lightrag - INFO - get_node:query:MATCH (n:`TUNIC`) RETURN n:result: +2024-10-30 06:04:22,866 - lightrag - INFO - _do_upsert:query: + MERGE (n:`TUNIC`) + SET n += $properties + RETURN n + :result:{'entity_type': '"CONCEPT"', 'description': '"The Tunic is part of The Ghost\'s attire, signifying purity and heavenly qualities in contrast to Scrooge\'s current state."', 'source_id': 'chunk-c7b10789a9cb0af6c553730b29bd9034'} +2024-10-30 06:04:22,996 - lightrag - INFO - get_node:query:MATCH (n:`BELL`) RETURN n:result: +2024-10-30 06:04:23,130 - lightrag - INFO - _do_upsert:query: + MERGE (n:`BELL`) + SET n += $properties + RETURN n + :result:{'entity_type': '"EVENT"', 'description': '"The Bell signifies the passage of time and is crucial in alerting Scrooge to the hour of visitation by The Ghost."', 'source_id': 'chunk-c7b10789a9cb0af6c553730b29bd9034'} +2024-10-30 06:04:23,261 - lightrag - INFO - get_node:query:MATCH (n:`CLOCK'S STRIKE`) RETURN n:result: +2024-10-30 06:04:23,396 - lightrag - INFO - _do_upsert:query: + MERGE (n:`CLOCK'S STRIKE`) + SET n += $properties + RETURN n + :result:{'entity_type': '"EVENT"', 'description': '"The Clock\'s Strike is an event marking significant moments throughout the narrative, emphasizing the theme of time."', 'source_id': 'chunk-c7b10789a9cb0af6c553730b29bd9034'} +2024-10-30 06:04:23,526 - lightrag - INFO - get_node:query:MATCH (n:`DREAM`) RETURN n:result:"Dream refers to Scrooge\'s mental conflict regarding whether the spectral encounters are real or figments of his imagination.""Dream refers to Scrooge\'s mental conflict regarding whether the spectral encounters are real or figments of his imagination.""Dream refers to the possibility that Scrooge\'s experiences are a figment of his imagination, reflecting his internal struggle with reality and perception."', 'source_id': 'chunk-c7b10789a9cb0af6c553730b29bd9034'}> +2024-10-30 06:04:23,663 - lightrag - INFO - _do_upsert:query: + MERGE (n:`DREAM`) + SET n += $properties + RETURN n + :result:{'entity_type': '"CONCEPT"', 'description': '"Dream refers to Scrooge\'s mental conflict regarding whether the spectral encounters are real or figments of his imagination.""Dream refers to Scrooge\'s mental conflict regarding whether the spectral encounters are real or figments of his imagination.""Dream refers to Scrooge\'s mental conflict regarding whether the spectral encounters are real or figments of his imagination.""Dream refers to Scrooge\'s mental conflict regarding whether the spectral encounters are real or figments of his imagination.""Dream refers to the possibility that Scrooge\'s experiences are a figment of his imagination, reflecting his internal struggle with reality and perception."', 'source_id': 'chunk-c7b10789a9cb0af6c553730b29bd9034'} +2024-10-30 06:04:23,794 - lightrag - INFO - get_node:query:MATCH (n:`DING DONG`) RETURN n:result: +2024-10-30 06:04:23,926 - lightrag - INFO - _do_upsert:query: + MERGE (n:`DING DONG`) + SET n += $properties + RETURN n + :result:{'entity_type': '"EVENT"', 'description': '"Ding Dong represents the sound of the clock chimes, anchoring the reader in time and emphasizing the moments of realization for Scrooge."', 'source_id': 'chunk-c7b10789a9cb0af6c553730b29bd9034'} +2024-10-30 06:04:24,053 - lightrag - INFO - get_node:query:MATCH (n:`TIME`) RETURN n:result: +2024-10-30 06:04:24,191 - lightrag - INFO - _do_upsert:query: + MERGE (n:`TIME`) + SET n += $properties + RETURN n + :result:{'entity_type': '"CONCEPT"', 'description': '"Time is a central theme, with characters reflecting on its passage and significance in relation to life and revelations."', 'source_id': 'chunk-c7b10789a9cb0af6c553730b29bd9034'} +2024-10-30 06:04:24,321 - lightrag - INFO - get_node:query:MATCH (n:`THE SPIRIT`) RETURN n:result:chunk-91614df5cb74cbe5e109a338a82041e9chunk-19d72c57ae3408758b18d2568e86dc6bchunk-91572b3cd42786ba4cb2f180ca25cbf4chunk-bb21d58d36c6306fd8810ddd51c4a971chunk-b2f98bc7abb0c67d4c86055c7fd72218chunk-e1f29eeadc1d8ab46dc8a0bbd3c56b64chunk-503f0bfa5453467c7c61d160a3540ecachunk-43c9bee23adfa77aa9dedd22401bba7dchunk-da2472b4ef2a535b62908f14d0fb0ca9chunk-f1a4fbcf1ed86864b9bfd5e8dba4c683chunk-b0f459f5af1c3a5e0b92cbe4ee48b77b'}> +2024-10-30 06:04:24,459 - lightrag - INFO - _do_upsert:query: + MERGE (n:`THE SPIRIT`) + SET n += $properties + RETURN n + :result:{'entity_type': '"ORGANIZATION"', 'description': '"The Spirit is a supernatural entity guiding Scrooge through various scenarios, pushing him towards reflection and change.""The Spirit is portrayed as a phantom guiding Scrooge, representing the moral and existential queries of his life.""The Spirit refers to a ghostly figure guiding Scrooge through his memories, playing a vital role in his transformation.""The Spirit refers to the Ghost of Christmas Present, who observes and interacts with the gathering, influencing Scrooge\'s emotional journey.""The Spirit refers to the ghostly apparitions that guide Scrooge through his reflections on life, past, present, and future.""The Spirit refers to the moral lesson embodied by the Ghost that visits Scrooge, emphasizing compassion and the value of life.""The Spirit represents a guiding force encouraging Scrooge to introspect on his past and recognize the value of happiness.""The Spirit represents a supernatural presence that influences the mood of Christmas, promoting generosity and mirth during the holiday season.""The Spirit represents the collective essence of the Christmas spirits, signifying guidance, memory, and influence over personal transformation.""The Spirit serves as a guiding force in the narrative, helping Scrooge understand his history and the impact of his actions.""The Spirit" is a multifaceted supernatural entity guiding Ebenezer Scrooge through a transformative journey during the Christmas season. It is portrayed as a ghostly figure, encompassing the Ghost of Christmas Present and the Ghost of Christmas Past, and serves to illuminate various themes including joy, generosity, and moral introspection. Throughout the narrative, The Spirit influences Scrooge\'s emotional journey, encouraging him to reflect on his past and understand the consequences of his actions.\n\nAs a guiding force, The Spirit prompts Scrooge to engage deeply with his memories, helping him realize the value of happiness and the importance of compassion and community in life. It plays a critical role in shaping the atmosphere of Christmas, promoting an environment filled with cheer and mirth as it leads Scrooge through moments of reflection and revelry. \n\nBy embodying the collective essence of the Christmas spirits, The Spirit acts as a moral compass for Scrooge, pushing him towards meaningful change and a reevaluation of his life choices. Ultimately, The Spirit serves as both a supernatural guide and an emotional influence, signifying the profound impact of reflection, memory, and personal transformation during the holiday season.', 'source_id': 'chunk-8590d9263cd2cd4fa583c432fc54e6c3chunk-b0f459f5af1c3a5e0b92cbe4ee48b77bchunk-da2472b4ef2a535b62908f14d0fb0ca9chunk-e1f29eeadc1d8ab46dc8a0bbd3c56b64chunk-91614df5cb74cbe5e109a338a82041e9chunk-503f0bfa5453467c7c61d160a3540ecachunk-19d72c57ae3408758b18d2568e86dc6bchunk-91572b3cd42786ba4cb2f180ca25cbf4chunk-bb21d58d36c6306fd8810ddd51c4a971chunk-f1a4fbcf1ed86864b9bfd5e8dba4c683chunk-43c9bee23adfa77aa9dedd22401bba7dchunk-b2f98bc7abb0c67d4c86055c7fd72218'} +2024-10-30 06:04:24,595 - lightrag - INFO - get_node:query:MATCH (n:`WINTER DAY`) RETURN n:result:"The winter day serves as the setting for Scrooge\'s journey with the Ghost, representing a time for reflection and nostalgia.""The winter day serves as the setting for Scrooge\'s journey with the Ghost, representing a time for reflection and nostalgia.""The winter day serves as the setting for Scrooge\'s journey with the Ghost, representing a time for reflection and nostalgia."', 'source_id': 'chunk-bb21d58d36c6306fd8810ddd51c4a971'}> +2024-10-30 06:04:24,728 - lightrag - INFO - _do_upsert:query: + MERGE (n:`WINTER DAY`) + SET n += $properties + RETURN n + :result:{'entity_type': '"EVENT"', 'description': '"The Winter Day signifies the seasonal setting during Scrooge\'s journey through his memories, highlighting a clear, cold atmosphere filled with nostalgia.""The winter day serves as the setting for Scrooge\'s journey with the Ghost, representing a time for reflection and nostalgia.""The winter day serves as the setting for Scrooge\'s journey with the Ghost, representing a time for reflection and nostalgia.""The winter day serves as the setting for Scrooge\'s journey with the Ghost, representing a time for reflection and nostalgia.""The winter day serves as the setting for Scrooge\'s journey with the Ghost, representing a time for reflection and nostalgia."', 'source_id': 'chunk-bb21d58d36c6306fd8810ddd51c4a971'} +2024-10-30 06:04:24,859 - lightrag - INFO - get_node:query:MATCH (n:`MARKET-TOWN`) RETURN n:result:"The market-town appears in Scrooge\'s memories as a significant place from his childhood, representing a connection to his past.""The market-town appears in Scrooge\'s memories as a significant place from his childhood, representing a connection to his past.""The market-town appears in Scrooge\'s memories as a significant place from his childhood, representing a connection to his past."', 'source_id': 'chunk-bb21d58d36c6306fd8810ddd51c4a971'}> +2024-10-30 06:04:24,998 - lightrag - INFO - _do_upsert:query: + MERGE (n:`MARKET-TOWN`) + SET n += $properties + RETURN n + :result:{'entity_type': '"GEO"', 'description': '"The Market-Town is a nostalgic location from Scrooge\'s youth, evoking memories and emotions tied to his childhood.""The market-town appears in Scrooge\'s memories as a significant place from his childhood, representing a connection to his past.""The market-town appears in Scrooge\'s memories as a significant place from his childhood, representing a connection to his past.""The market-town appears in Scrooge\'s memories as a significant place from his childhood, representing a connection to his past.""The market-town appears in Scrooge\'s memories as a significant place from his childhood, representing a connection to his past."', 'source_id': 'chunk-bb21d58d36c6306fd8810ddd51c4a971'} +2024-10-30 06:04:25,129 - lightrag - INFO - get_node:query:MATCH (n:`BOYS`) RETURN n:result: +2024-10-30 06:04:25,260 - lightrag - INFO - _do_upsert:query: + MERGE (n:`BOYS`) + SET n += $properties + RETURN n + :result:{'entity_type': '"PERSON"', 'description': '"The boys are depicted as cheerful characters riding ponies, contributing to the joyful atmosphere and memories of Scrooge\'s past."', 'source_id': 'chunk-bb21d58d36c6306fd8810ddd51c4a971'} +2024-10-30 06:04:25,391 - lightrag - INFO - get_node:query:MATCH (n:`SHAGGY PONIES`) RETURN n:result: +2024-10-30 06:04:25,531 - lightrag - INFO - _do_upsert:query: + MERGE (n:`SHAGGY PONIES`) + SET n += $properties + RETURN n + :result:{'entity_type': '"GEO"', 'description': '"Shaggy ponies are mentioned as part of the scene, representing the innocent and playful aspects of Scrooge\'s childhood."', 'source_id': 'chunk-bb21d58d36c6306fd8810ddd51c4a971'} +2024-10-30 06:04:25,665 - lightrag - INFO - get_node:query:MATCH (n:`BRIDGE`) RETURN n:result: +2024-10-30 06:04:25,800 - lightrag - INFO - _do_upsert:query: + MERGE (n:`BRIDGE`) + SET n += $properties + RETURN n + :result:{'entity_type': '"GEO"', 'description': '"The bridge is a landmark in the market-town that Scrooge recognizes from his childhood, symbolizing a connection to his past."', 'source_id': 'chunk-bb21d58d36c6306fd8810ddd51c4a971'} +2024-10-30 06:04:25,928 - lightrag - INFO - get_node:query:MATCH (n:`CHURCH`) RETURN n:result: +2024-10-30 06:04:26,057 - lightrag - INFO - _do_upsert:query: + MERGE (n:`CHURCH`) + SET n += $properties + RETURN n + :result:{'entity_type': '"GEO"', 'description': '"The church is another landmark in the market-town representing tradition and community significant to Scrooge\'s memories."', 'source_id': 'chunk-bb21d58d36c6306fd8810ddd51c4a971'} +2024-10-30 06:04:26,183 - lightrag - INFO - get_node:query:MATCH (n:`WINDING RIVER`) RETURN n:result: +2024-10-30 06:04:26,323 - lightrag - INFO - _do_upsert:query: + MERGE (n:`WINDING RIVER`) + SET n += $properties + RETURN n + :result:{'entity_type': '"GEO"', 'description': '"The winding river is part of the landscape Scrooge recalls, tying into his emotions of nostalgia and remembrance of home."', 'source_id': 'chunk-bb21d58d36c6306fd8810ddd51c4a971'} +2024-10-30 06:04:26,456 - lightrag - INFO - get_node:query:MATCH (n:`ALI BABA`) RETURN n:result:"Ali Baba is a character from a story recalled by Scrooge, representing memories of adventure and kindness during Christmas.""Ali Baba is a character from a story recalled by Scrooge, representing memories of adventure and kindness during Christmas.""Ali Baba is mentioned as a character from a story that impacts Scrooge during his reflection on Christmas and childhood."', 'source_id': 'chunk-8590d9263cd2cd4fa583c432fc54e6c3'}> +2024-10-30 06:04:26,590 - lightrag - INFO - _do_upsert:query: + MERGE (n:`ALI BABA`) + SET n += $properties + RETURN n + :result:{'entity_type': '"PERSON"', 'description': '"Ali Baba is a character from a story recalled by Scrooge, representing memories of adventure and kindness during Christmas.""Ali Baba is a character from a story recalled by Scrooge, representing memories of adventure and kindness during Christmas.""Ali Baba is a character from a story recalled by Scrooge, representing memories of adventure and kindness during Christmas.""Ali Baba is a character from a story recalled by Scrooge, representing memories of adventure and kindness during Christmas.""Ali Baba is mentioned as a character from a story that impacts Scrooge during his reflection on Christmas and childhood."', 'source_id': 'chunk-8590d9263cd2cd4fa583c432fc54e6c3'} +2024-10-30 06:04:26,721 - lightrag - INFO - get_node:query:MATCH (n:`VALENTINE`) RETURN n:result:"Valentine is mentioned as a character associated with Scrooge\'s childhood memories, indicating the depth of his nostalgia.""Valentine is mentioned as a character associated with Scrooge\'s childhood memories, indicating the depth of his nostalgia.""Valentine is referenced as a brother of a character, and his presence contributes to the holiday memories Scrooge recalls."', 'source_id': 'chunk-8590d9263cd2cd4fa583c432fc54e6c3'}> +2024-10-30 06:04:26,858 - lightrag - INFO - _do_upsert:query: + MERGE (n:`VALENTINE`) + SET n += $properties + RETURN n + :result:{'entity_type': '"PERSON"', 'description': '"Valentine is mentioned as a character associated with Scrooge\'s childhood memories, indicating the depth of his nostalgia.""Valentine is mentioned as a character associated with Scrooge\'s childhood memories, indicating the depth of his nostalgia.""Valentine is mentioned as a character associated with Scrooge\'s childhood memories, indicating the depth of his nostalgia.""Valentine is mentioned as a character associated with Scrooge\'s childhood memories, indicating the depth of his nostalgia.""Valentine is referenced as a brother of a character, and his presence contributes to the holiday memories Scrooge recalls."', 'source_id': 'chunk-8590d9263cd2cd4fa583c432fc54e6c3'} +2024-10-30 06:04:26,991 - lightrag - INFO - get_node:query:MATCH (n:`ORSON`) RETURN n:result:"Orson, the wild brother of Valentine, is another figure from Scrooge\'s past, representing familial connections and memories.""Orson, the wild brother of Valentine, is another figure from Scrooge\'s past, representing familial connections and memories.""Orson, the wild brother of Valentine, is another figure from Scrooge\'s past, representing familial connections and memories."', 'source_id': 'chunk-8590d9263cd2cd4fa583c432fc54e6c3'}> +2024-10-30 06:04:27,124 - lightrag - INFO - _do_upsert:query: + MERGE (n:`ORSON`) + SET n += $properties + RETURN n + :result:{'entity_type': '"PERSON"', 'description': '"Orson is mentioned as another brother mentioned by Scrooge, recalling his childhood tales and adventures.""Orson, the wild brother of Valentine, is another figure from Scrooge\'s past, representing familial connections and memories.""Orson, the wild brother of Valentine, is another figure from Scrooge\'s past, representing familial connections and memories.""Orson, the wild brother of Valentine, is another figure from Scrooge\'s past, representing familial connections and memories.""Orson, the wild brother of Valentine, is another figure from Scrooge\'s past, representing familial connections and memories."', 'source_id': 'chunk-8590d9263cd2cd4fa583c432fc54e6c3'} +2024-10-30 06:04:27,263 - lightrag - INFO - get_node:query:MATCH (n:`MANSION`) RETURN n:result: +2024-10-30 06:04:27,397 - lightrag - INFO - _do_upsert:query: + MERGE (n:`MANSION`) + SET n += $properties + RETURN n + :result:{'entity_type': '"GEO"', 'description': '"The Mansion is a large house described as being in a state of decay and neglect, serving as a setting for Scrooge\'s memories."', 'source_id': 'chunk-8590d9263cd2cd4fa583c432fc54e6c3'} +2024-10-30 06:04:27,529 - lightrag - INFO - get_node:query:MATCH (n:`CHILD`) RETURN n:result: +2024-10-30 06:04:27,664 - lightrag - INFO - _do_upsert:query: + MERGE (n:`CHILD`) + SET n += $properties + RETURN n + :result:{'entity_type': '"PERSON"', 'description': '"The Child is a solitary figure leaving in the school, representing loneliness and the emotions tied to Scrooge\'s memories of his younger self."', 'source_id': 'chunk-8590d9263cd2cd4fa583c432fc54e6c3'} +2024-10-30 06:04:27,796 - lightrag - INFO - get_node:query:MATCH (n:`ROBIN CRUSOE`) RETURN n:result:"Robin Crusoe is a character from literature that Scrooge remembers fondly, illustrating his connection to stories of adventure and survival.""Robin Crusoe is a character from literature that Scrooge remembers fondly, illustrating his connection to stories of adventure and survival.""Robin Crusoe is a character referenced by Scrooge as part of his memories, signifying tales of adventure and nostalgia."', 'source_id': 'chunk-8590d9263cd2cd4fa583c432fc54e6c3'}> +2024-10-30 06:04:27,930 - lightrag - INFO - _do_upsert:query: + MERGE (n:`ROBIN CRUSOE`) + SET n += $properties + RETURN n + :result:{'entity_type': '"PERSON"', 'description': '"Robin Crusoe is a character from literature that Scrooge remembers fondly, illustrating his connection to stories of adventure and survival.""Robin Crusoe is a character from literature that Scrooge remembers fondly, illustrating his connection to stories of adventure and survival.""Robin Crusoe is a character from literature that Scrooge remembers fondly, illustrating his connection to stories of adventure and survival.""Robin Crusoe is a character from literature that Scrooge remembers fondly, illustrating his connection to stories of adventure and survival.""Robin Crusoe is a character referenced by Scrooge as part of his memories, signifying tales of adventure and nostalgia."', 'source_id': 'chunk-8590d9263cd2cd4fa583c432fc54e6c3'} +2024-10-30 06:04:28,062 - lightrag - INFO - get_node:query:MATCH (n:`FRIDAY`) RETURN n:result:"Friday is another character from the story of Robin Crusoe, noted in Scrooge\'s memories, indicating the impact of literature on his nostalgia.""Friday is another character from the story of Robin Crusoe, noted in Scrooge\'s memories, indicating the impact of literature on his nostalgia.""Friday is another character from the story of Robin Crusoe, noted in Scrooge\'s memories, indicating the impact of literature on his nostalgia."', 'source_id': 'chunk-8590d9263cd2cd4fa583c432fc54e6c3'}> +2024-10-30 06:04:28,231 - lightrag - INFO - _do_upsert:query: + MERGE (n:`FRIDAY`) + SET n += $properties + RETURN n + :result:{'entity_type': '"PERSON"', 'description': '"Friday is another character from a story mentioned by Scrooge during his nostalgic recollections of childhood.""Friday is another character from the story of Robin Crusoe, noted in Scrooge\'s memories, indicating the impact of literature on his nostalgia.""Friday is another character from the story of Robin Crusoe, noted in Scrooge\'s memories, indicating the impact of literature on his nostalgia.""Friday is another character from the story of Robin Crusoe, noted in Scrooge\'s memories, indicating the impact of literature on his nostalgia.""Friday is another character from the story of Robin Crusoe, noted in Scrooge\'s memories, indicating the impact of literature on his nostalgia."', 'source_id': 'chunk-8590d9263cd2cd4fa583c432fc54e6c3'} +2024-10-30 06:04:28,358 - lightrag - INFO - get_node:query:MATCH (n:`THE PARROT`) RETURN n:result: +2024-10-30 06:04:28,493 - lightrag - INFO - _do_upsert:query: + MERGE (n:`THE PARROT`) + SET n += $properties + RETURN n + :result:{'entity_type': '"PERSON"', 'description': '"The Parrot is a character in Scrooge\'s memory tied to Robin Crusoe, representing Scrooge\'s whimsical recollections."', 'source_id': 'chunk-8590d9263cd2cd4fa583c432fc54e6c3'} +2024-10-30 06:04:28,621 - lightrag - INFO - get_node:query:MATCH (n:`DICK WILKINS`) RETURN n:result:"Dick Wilkins is Scrooge\'s fellow apprentice and close companion during his younger years, indicating camaraderie during their apprenticeship.""Dick Wilkins is Scrooge\'s fellow apprentice, associated with Scrooge\'s past and the context of his earlier, more carefree life.""Dick Wilkins is a former apprentice of Scrooge, remembered fondly for his attachment to Scrooge.""Dick Wilkins is Scrooge\'s fellow apprentice, associated with Scrooge\'s past and the context of his earlier, more carefree life.""Dick Wilkins is a former apprentice of Scrooge, remembered fondly for his attachment to Scrooge.""Dick Wilkins is Scrooge\'s fellow apprentice, associated with Scrooge\'s past and the context of his earlier, more carefree life.""Dick Wilkins is a former apprentice of Scrooge, remembered fondly for his attachment to Scrooge."', 'source_id': 'chunk-8bc1edd983869352d14cf0886a9175a7chunk-c6c248858d1b13ab7ee9ca13c1aeed6b'}> +2024-10-30 06:04:28,756 - lightrag - INFO - _do_upsert:query: + MERGE (n:`DICK WILKINS`) + SET n += $properties + RETURN n + :result:{'entity_type': '"PERSON"', 'description': '"Dick Wilkins is Ebenezer\'s fellow apprentice, with whom he shared a strong attachment during their youth.""Dick Wilkins is Scrooge\'s fellow apprentice and close companion during his younger years, indicating camaraderie during their apprenticeship.""Dick Wilkins is Scrooge\'s fellow apprentice, associated with Scrooge\'s past and the context of his earlier, more carefree life.""Dick Wilkins is a former apprentice of Scrooge, remembered fondly for his attachment to Scrooge.""Dick Wilkins is Scrooge\'s fellow apprentice, associated with Scrooge\'s past and the context of his earlier, more carefree life.""Dick Wilkins is a former apprentice of Scrooge, remembered fondly for his attachment to Scrooge.""Dick Wilkins is Scrooge\'s fellow apprentice, associated with Scrooge\'s past and the context of his earlier, more carefree life.""Dick Wilkins is a former apprentice of Scrooge, remembered fondly for his attachment to Scrooge.""Dick Wilkins is Scrooge\'s fellow apprentice, associated with Scrooge\'s past and the context of his earlier, more carefree life.""Dick Wilkins is a former apprentice of Scrooge, remembered fondly for his attachment to Scrooge."', 'source_id': 'chunk-8bc1edd983869352d14cf0886a9175a7chunk-c6c248858d1b13ab7ee9ca13c1aeed6b'} +2024-10-30 06:04:28,888 - lightrag - INFO - get_node:query:MATCH (n:`THE CITY`) RETURN n:result:"The City represents the bustling urban environment where Scrooge reflects on his past, filled with activity and shadowy figures.""The City, from which Scrooge is transported, represents his past life and is contrasted with the open country road that signifies his memories.""The City refers to the broader urban environment in which Scrooge operates and signifies the societal norms and attitudes towards Christmas.""The City represents the bustling urban environment where Scrooge\'s memories unfold, highlighting the contrast between his past and present.""The City refers to the broader urban environment in which Scrooge operates and signifies the societal norms and attitudes towards Christmas.""The City represents the bustling urban environment where Scrooge\'s memories unfold, highlighting the contrast between his past and present.""The City refers to the broader urban environment in which Scrooge operates and signifies the societal norms and attitudes towards Christmas.""The City represents the bustling urban environment where Scrooge\'s memories unfold, highlighting the contrast between his past and present."', 'source_id': 'chunk-94bea83e7153fc2064aa382b494936a1chunk-bb21d58d36c6306fd8810ddd51c4a971chunk-c6c248858d1b13ab7ee9ca13c1aeed6bchunk-74e2466de2f67fd710ef2f20c0a8d9e0'}> +2024-10-30 06:04:29,024 - lightrag - INFO - _do_upsert:query: + MERGE (n:`THE CITY`) + SET n += $properties + RETURN n + :result:{'entity_type': '"GEO"', 'description': '"The City provides the backdrop for Scrooge\'s story, representing the bustling environment that underscores his loneliness and detachment from society.""The City represents the bustling urban environment where Scrooge reflects on his past, filled with activity and shadowy figures.""The City, from which Scrooge is transported, represents his past life and is contrasted with the open country road that signifies his memories.""The City refers to the broader urban environment in which Scrooge operates and signifies the societal norms and attitudes towards Christmas.""The City represents the bustling urban environment where Scrooge\'s memories unfold, highlighting the contrast between his past and present.""The City refers to the broader urban environment in which Scrooge operates and signifies the societal norms and attitudes towards Christmas.""The City represents the bustling urban environment where Scrooge\'s memories unfold, highlighting the contrast between his past and present.""The City refers to the broader urban environment in which Scrooge operates and signifies the societal norms and attitudes towards Christmas.""The City represents the bustling urban environment where Scrooge\'s memories unfold, highlighting the contrast between his past and present.""The City refers to the broader urban environment in which Scrooge operates and signifies the societal norms and attitudes towards Christmas.""The City represents the bustling urban environment where Scrooge\'s memories unfold, highlighting the contrast between his past and present."', 'source_id': 'chunk-94bea83e7153fc2064aa382b494936a1chunk-74e2466de2f67fd710ef2f20c0a8d9e0chunk-c6c248858d1b13ab7ee9ca13c1aeed6bchunk-bb21d58d36c6306fd8810ddd51c4a971'} +2024-10-30 06:04:29,154 - lightrag - INFO - get_node:query:MATCH (n:`HOME`) RETURN n:result:"Home represents the physical and emotional center for the family, where the Christmas celebration takes place.""Home represents the physical and emotional center for the family, where the Christmas celebration takes place.""Home symbolizes warmth, safety, and family connection, representing what Scrooge yearns for but has lost in his life.""Home symbolizes warmth, safety, and family connection, representing what Scrooge yearns for but has lost in his life.""Home symbolizes warmth, safety, and family connection, representing what Scrooge yearns for but has lost in his life."', 'source_id': 'chunk-c6c248858d1b13ab7ee9ca13c1aeed6bchunk-da2472b4ef2a535b62908f14d0fb0ca9'}> +2024-10-30 06:04:29,288 - lightrag - INFO - _do_upsert:query: + MERGE (n:`HOME`) + SET n += $properties + RETURN n + :result:{'entity_type': '"CONCEPT"', 'description': '"Home represents the physical and emotional center for the family, where the Christmas celebration takes place.""Home represents the physical and emotional center for the family, where the Christmas celebration takes place.""Home represents the physical and emotional center for the family, where the Christmas celebration takes place.""Home represents the physical and emotional center for the family, where the Christmas celebration takes place.""Home symbolizes warmth, safety, and family connection, representing what Scrooge yearns for but has lost in his life.""Home symbolizes warmth, safety, and family connection, representing what Scrooge yearns for but has lost in his life.""Home symbolizes warmth, safety, and family connection, representing what Scrooge yearns for but has lost in his life.""Home symbolizes warmth, safety, and family connection, representing what Scrooge yearns for but has lost in his life."', 'source_id': 'chunk-da2472b4ef2a535b62908f14d0fb0ca9chunk-c6c248858d1b13ab7ee9ca13c1aeed6b'} +2024-10-30 06:04:29,418 - lightrag - INFO - get_node:query:MATCH (n:`COACH`) RETURN n:result: +2024-10-30 06:04:29,553 - lightrag - INFO - _do_upsert:query: + MERGE (n:`COACH`) + SET n += $properties + RETURN n + :result:{'entity_type': '"CONCEPT"', 'description': '"The Coach is a means of transport that signifies the transition from Scrooge\'s lonely past to the possibility of companionship and warmth."', 'source_id': 'chunk-c6c248858d1b13ab7ee9ca13c1aeed6b'} +2024-10-30 06:04:29,682 - lightrag - INFO - get_node:query:MATCH (n:`THE SCHOOL`) RETURN n:result: +2024-10-30 06:04:29,815 - lightrag - INFO - _do_upsert:query: + MERGE (n:`THE SCHOOL`) + SET n += $properties + RETURN n + :result:{'entity_type': '"ORGANIZATION"', 'description': '"The School represents the institutional aspect of Scrooge\'s childhood, contrasting with the warmth and love represented by Fan."', 'source_id': 'chunk-c6c248858d1b13ab7ee9ca13c1aeed6b'} +2024-10-30 06:04:29,943 - lightrag - INFO - get_node:query:MATCH (n:`COLD`) RETURN n:result: +2024-10-30 06:04:30,078 - lightrag - INFO - _do_upsert:query: + MERGE (n:`COLD`) + SET n += $properties + RETURN n + :result:{'entity_type': '"CONCEPT"', 'description': '"Cold symbolizes the emotional detachment and isolation present in Scrooge\'s life, contrasting with the warmth of family and connection that he longs for."', 'source_id': 'chunk-c6c248858d1b13ab7ee9ca13c1aeed6b'} +2024-10-30 06:04:30,207 - lightrag - INFO - get_node:query:MATCH (n:`EVENING`) RETURN n:result: +2024-10-30 06:04:30,340 - lightrag - INFO - _do_upsert:query: + MERGE (n:`EVENING`) + SET n += $properties + RETURN n + :result:{'entity_type': '"EVENT"', 'description': '"Evening represents a time of transition and reflection as Scrooge recalls his past and seeks transformation."', 'source_id': 'chunk-c6c248858d1b13ab7ee9ca13c1aeed6b'} +2024-10-30 06:04:30,470 - lightrag - INFO - get_node:query:MATCH (n:`THE PARTY`) RETURN n:result:"The Party refers to the potential gathering for the funeral, which the characters consider with amusement rather than sincerity.""The Party refers to festive gatherings that Fezziwig hosts, showcasing joy and camaraderie during the Christmas season.""The Party refers to festive gatherings that Fezziwig hosts, showcasing joy and camaraderie during the Christmas season.""The Party refers to festive gatherings that Fezziwig hosts, showcasing joy and camaraderie during the Christmas season."', 'source_id': 'chunk-f1a4fbcf1ed86864b9bfd5e8dba4c683chunk-94bea83e7153fc2064aa382b494936a1chunk-c6c248858d1b13ab7ee9ca13c1aeed6b'}> +2024-10-30 06:04:30,605 - lightrag - INFO - _do_upsert:query: + MERGE (n:`THE PARTY`) + SET n += $properties + RETURN n + :result:{'entity_type': '"EVENT"', 'description': '"The Party is a festive gathering that celebrates Christmas, filled with games and joyful unity among friends and family.""The Party refers to the potential gathering for the funeral, which the characters consider with amusement rather than sincerity.""The Party refers to festive gatherings that Fezziwig hosts, showcasing joy and camaraderie during the Christmas season.""The Party refers to festive gatherings that Fezziwig hosts, showcasing joy and camaraderie during the Christmas season.""The Party refers to festive gatherings that Fezziwig hosts, showcasing joy and camaraderie during the Christmas season.""The Party refers to festive gatherings that Fezziwig hosts, showcasing joy and camaraderie during the Christmas season."', 'source_id': 'chunk-94bea83e7153fc2064aa382b494936a1chunk-f1a4fbcf1ed86864b9bfd5e8dba4c683chunk-c6c248858d1b13ab7ee9ca13c1aeed6b'} +2024-10-30 06:04:30,739 - lightrag - INFO - get_node:query:MATCH (n:`THE CHILDREN`) RETURN n:result:"The Children are a group experiencing feelings of wonder and delight during the gift-giving scene, highlighting innocence and joy.""The Children are a group experiencing feelings of wonder and delight during the gift-giving scene, highlighting innocence and joy.""The Children are a lively group in the matron\'s home, symbolizing joy, chaos, and familial warmth.""The Children in the Cratchit family represent innocence and curiosity, highlighting the effects of their family\'s struggles on their happiness.""The Children refer to the group of young individuals filled with wonder and delight during the Christmas festivities.""The Children serve as symbols of innocence and joy, representing the untainted happiness of childhood that Scrooge longs to reconnect with.""The children are the offspring of the Cratchit family, showcasing innocence and joy during the Christmas celebrations, reacting with laughter and cheer.""The Children are a lively group in the matron\'s home, symbolizing joy, chaos, and familial warmth.""The Children in the Cratchit family represent innocence and curiosity, highlighting the effects of their family\'s struggles on their happiness.""The Children serve as symbols of innocence and joy, representing the untainted happiness of childhood that Scrooge longs to reconnect with.""The children are the offspring of the Cratchit family, showcasing innocence and joy during the Christmas celebrations, reacting with laughter and cheer.""The Children are a lively group in the matron\'s home, symbolizing joy, chaos, and familial warmth.""The Children in the Cratchit family represent innocence and curiosity, highlighting the effects of their family\'s struggles on their happiness.""The Children serve as symbols of innocence and joy, representing the untainted happiness of childhood that Scrooge longs to reconnect with.""The children are the offspring of the Cratchit family, showcasing innocence and joy during the Christmas celebrations, reacting with laughter and cheer."', 'source_id': 'chunk-54bdd22db1f84a965b5f4c06c9216d8dchunk-19d72c57ae3408758b18d2568e86dc6bchunk-c6c248858d1b13ab7ee9ca13c1aeed6bchunk-83ac129dc9b56f84c46760d153d68e93chunk-da2472b4ef2a535b62908f14d0fb0ca9'}> +2024-10-30 06:04:30,741 - lightrag - DEBUG - Trigger summary: "THE CHILDREN" +2024-10-30 06:04:30,840 - lightrag - INFO - get_node:query:MATCH (n:`A COACH TO BRING YOU HOME`) RETURN n:result: +2024-10-30 06:04:30,974 - lightrag - INFO - _do_upsert:query: + MERGE (n:`A COACH TO BRING YOU HOME`) + SET n += $properties + RETURN n + :result:{'entity_type': '"CONCEPT"', 'description': '"A Coach to Bring You Home symbolizes the hope and opportunity for reconnection and warmth in Scrooge\'s life."', 'source_id': 'chunk-c6c248858d1b13ab7ee9ca13c1aeed6b'} +2024-10-30 06:04:31,102 - lightrag - INFO - get_node:query:MATCH (n:`THE DANCERS`) RETURN n:result: +2024-10-30 06:04:31,235 - lightrag - INFO - _do_upsert:query: + MERGE (n:`THE DANCERS`) + SET n += $properties + RETURN n + :result:{'entity_type': '"ORGANIZATION"', 'description': '"The Dancers represent the lively group of people celebrating and participating in the festivities organized by Fezziwig."', 'source_id': 'chunk-8bc1edd983869352d14cf0886a9175a7'} +2024-10-30 06:04:31,364 - lightrag - INFO - get_node:query:MATCH (n:`THE FIDDLER`) RETURN n:result:"The Fiddler is a musician who plays at Fezziwig\'s celebration, providing music for the dancers and contributing to the festive atmosphere.""The Fiddler is a musician who plays at Fezziwig\'s celebration, providing music for the dancers and contributing to the festive atmosphere.""The Fiddler is a musician who plays during the festivities, contributing to the atmosphere of joy and celebration."', 'source_id': 'chunk-8bc1edd983869352d14cf0886a9175a7'}> +2024-10-30 06:04:31,498 - lightrag - INFO - _do_upsert:query: + MERGE (n:`THE FIDDLER`) + SET n += $properties + RETURN n + :result:{'entity_type': '"PERSON"', 'description': '"The Fiddler is a musician who plays at Fezziwig\'s celebration, providing music for the dancers and contributing to the festive atmosphere.""The Fiddler is a musician who plays at Fezziwig\'s celebration, providing music for the dancers and contributing to the festive atmosphere.""The Fiddler is a musician who plays at Fezziwig\'s celebration, providing music for the dancers and contributing to the festive atmosphere.""The Fiddler is a musician who plays at Fezziwig\'s celebration, providing music for the dancers and contributing to the festive atmosphere.""The Fiddler is a musician who plays during the festivities, contributing to the atmosphere of joy and celebration."', 'source_id': 'chunk-8bc1edd983869352d14cf0886a9175a7'} +2024-10-30 06:04:31,631 - lightrag - INFO - get_node:query:MATCH (n:`THE THREE MISS FEZZIWIGS`) RETURN n:result: +2024-10-30 06:04:31,766 - lightrag - INFO - _do_upsert:query: + MERGE (n:`THE THREE MISS FEZZIWIGS`) + SET n += $properties + RETURN n + :result:{'entity_type': '"PERSON"', 'description': '"The Three Miss Fezziwigs are jovial participants in the celebration, characterized by their lovable demeanor."', 'source_id': 'chunk-8bc1edd983869352d14cf0886a9175a7'} +2024-10-30 06:04:31,898 - lightrag - INFO - get_node:query:MATCH (n:`YOUNG FOLLOWERS`) RETURN n:result: +2024-10-30 06:04:32,038 - lightrag - INFO - _do_upsert:query: + MERGE (n:`YOUNG FOLLOWERS`) + SET n += $properties + RETURN n + :result:{'entity_type': '"ORGANIZATION"', 'description': '"The Young Followers consist of several young men and women who are employed in Fezziwig\'s business and participate in the festivities."', 'source_id': 'chunk-8bc1edd983869352d14cf0886a9175a7'} +2024-10-30 06:04:32,168 - lightrag - INFO - get_node:query:MATCH (n:`THE HOUSEMAID`) RETURN n:result:"The Housemaid is a character present during the celebrations, contributing to the lively atmosphere of the evening.""The Housemaid is a character present during the celebrations, contributing to the lively atmosphere of the evening.""The Housemaid is mentioned as part of the domestic staff involved in the celebration, contributing to the jovial atmosphere."', 'source_id': 'chunk-8bc1edd983869352d14cf0886a9175a7'}> +2024-10-30 06:04:32,301 - lightrag - INFO - _do_upsert:query: + MERGE (n:`THE HOUSEMAID`) + SET n += $properties + RETURN n + :result:{'entity_type': '"PERSON"', 'description': '"The Housemaid is a character present during the celebrations, contributing to the lively atmosphere of the evening.""The Housemaid is a character present during the celebrations, contributing to the lively atmosphere of the evening.""The Housemaid is a character present during the celebrations, contributing to the lively atmosphere of the evening.""The Housemaid is a character present during the celebrations, contributing to the lively atmosphere of the evening.""The Housemaid is mentioned as part of the domestic staff involved in the celebration, contributing to the jovial atmosphere."', 'source_id': 'chunk-8bc1edd983869352d14cf0886a9175a7'} +2024-10-30 06:04:32,431 - lightrag - INFO - get_node:query:MATCH (n:`THE COOK`) RETURN n:result:"The Cook is another character involved in the celebrations, participating in the festivities alongside other guests.""The Cook is another character involved in the celebrations, participating in the festivities alongside other guests.""The Cook is part of the household and participates in the festive gathering, alongside other staff."', 'source_id': 'chunk-8bc1edd983869352d14cf0886a9175a7'}> +2024-10-30 06:04:32,569 - lightrag - INFO - _do_upsert:query: + MERGE (n:`THE COOK`) + SET n += $properties + RETURN n + :result:{'entity_type': '"PERSON"', 'description': '"The Cook is another character involved in the celebrations, participating in the festivities alongside other guests.""The Cook is another character involved in the celebrations, participating in the festivities alongside other guests.""The Cook is another character involved in the celebrations, participating in the festivities alongside other guests.""The Cook is another character involved in the celebrations, participating in the festivities alongside other guests.""The Cook is part of the household and participates in the festive gathering, alongside other staff."', 'source_id': 'chunk-8bc1edd983869352d14cf0886a9175a7'} +2024-10-30 06:04:32,700 - lightrag - INFO - get_node:query:MATCH (n:`THE BAKER`) RETURN n:result:"The Baker is related to the Housemaid and present during the celebrations, adding to the communal aspect of the event.""The Baker is related to the Housemaid and present during the celebrations, adding to the communal aspect of the event.""The Baker is related to the Housemaid and present during the celebrations, adding to the communal aspect of the event."', 'source_id': 'chunk-8bc1edd983869352d14cf0886a9175a7'}> +2024-10-30 06:04:32,835 - lightrag - INFO - _do_upsert:query: + MERGE (n:`THE BAKER`) + SET n += $properties + RETURN n + :result:{'entity_type': '"PERSON"', 'description': '"The Baker is a cousin to the housemaid, indicating the interconnectedness of the household staff during the festivities.""The Baker is related to the Housemaid and present during the celebrations, adding to the communal aspect of the event.""The Baker is related to the Housemaid and present during the celebrations, adding to the communal aspect of the event.""The Baker is related to the Housemaid and present during the celebrations, adding to the communal aspect of the event.""The Baker is related to the Housemaid and present during the celebrations, adding to the communal aspect of the event."', 'source_id': 'chunk-8bc1edd983869352d14cf0886a9175a7'} +2024-10-30 06:04:32,967 - lightrag - INFO - get_node:query:MATCH (n:`THE BOY FROM OVER THE WAY`) RETURN n:result: +2024-10-30 06:04:33,099 - lightrag - INFO - _do_upsert:query: + MERGE (n:`THE BOY FROM OVER THE WAY`) + SET n += $properties + RETURN n + :result:{'entity_type': '"PERSON"', 'description': '"The Boy from Over the Way is a humorous character trying to hide behind another participant, showcasing the inclusiveness of the celebrations."', 'source_id': 'chunk-8bc1edd983869352d14cf0886a9175a7'} +2024-10-30 06:04:33,225 - lightrag - INFO - get_node:query:MATCH (n:`THE GIRL FROM NEXT DOOR`) RETURN n:result: +2024-10-30 06:04:33,357 - lightrag - INFO - _do_upsert:query: + MERGE (n:`THE GIRL FROM NEXT DOOR`) + SET n += $properties + RETURN n + :result:{'entity_type': '"PERSON"', 'description': '"The Girl from Next Door is referenced as hiding from the Boy, illustrating the interactions during the event."', 'source_id': 'chunk-8bc1edd983869352d14cf0886a9175a7'} +2024-10-30 06:04:33,488 - lightrag - INFO - get_node:query:MATCH (n:`DICK`) RETURN n:result:"Dick is associated with Scrooge\'s former self, evoking nostalgic memories as Scrooge witnesses the past.""Dick is associated with Scrooge\'s former self, evoking nostalgic memories as Scrooge witnesses the past.""Dick is associated with Scrooge\'s former self, evoking nostalgic memories as Scrooge witnesses the past."', 'source_id': 'chunk-b2f98bc7abb0c67d4c86055c7fd72218'}> +2024-10-30 06:04:33,625 - lightrag - INFO - _do_upsert:query: + MERGE (n:`DICK`) + SET n += $properties + RETURN n + :result:{'entity_type': '"PERSON"', 'description': '"Dick is a character from Scrooge\'s past, reminisced about during the scene, representing the camaraderie shared during the ball.""Dick is associated with Scrooge\'s former self, evoking nostalgic memories as Scrooge witnesses the past.""Dick is associated with Scrooge\'s former self, evoking nostalgic memories as Scrooge witnesses the past.""Dick is associated with Scrooge\'s former self, evoking nostalgic memories as Scrooge witnesses the past.""Dick is associated with Scrooge\'s former self, evoking nostalgic memories as Scrooge witnesses the past."', 'source_id': 'chunk-b2f98bc7abb0c67d4c86055c7fd72218'} +2024-10-30 06:04:33,754 - lightrag - INFO - get_node:query:MATCH (n:`THE GHOST OF CHRISTMAS PAST`) RETURN n:result:"The Ghost of Christmas Past is a supernatural entity that allows Scrooge to revisit and reflect on his previous life experiences.""The Ghost of Christmas Past is a supernatural entity that allows Scrooge to revisit and reflect on his previous life experiences.""The Ghost of Christmas Past is a supernatural entity that shows Scrooge moments from his past, eliciting reflection and emotion.""The Ghost of Christmas Past represents Scrooge\'s history and helps him confront his former self and decisions made in life.""The Ghost of Christmas Past represents Scrooge\'s history and helps him confront his former self and decisions made in life.""The Ghost of Christmas Past represents Scrooge\'s history and helps him confront his former self and decisions made in life."', 'source_id': 'chunk-90b95db5c53e4364a6bee36b7aa4d70fchunk-b2f98bc7abb0c67d4c86055c7fd72218'}> +2024-10-30 06:04:33,889 - lightrag - INFO - _do_upsert:query: + MERGE (n:`THE GHOST OF CHRISTMAS PAST`) + SET n += $properties + RETURN n + :result:{'entity_type': '"EVENT"', 'description': '"The Ghost of Christmas Past is a supernatural entity that allows Scrooge to revisit and reflect on his previous life experiences.""The Ghost of Christmas Past is a supernatural entity that allows Scrooge to revisit and reflect on his previous life experiences.""The Ghost of Christmas Past is a supernatural entity that allows Scrooge to revisit and reflect on his previous life experiences.""The Ghost of Christmas Past is a supernatural entity that allows Scrooge to revisit and reflect on his previous life experiences.""The Ghost of Christmas Past is a supernatural entity that shows Scrooge moments from his past, eliciting reflection and emotion.""The Ghost of Christmas Past represents Scrooge\'s history and helps him confront his former self and decisions made in life.""The Ghost of Christmas Past represents Scrooge\'s history and helps him confront his former self and decisions made in life.""The Ghost of Christmas Past represents Scrooge\'s history and helps him confront his former self and decisions made in life.""The Ghost of Christmas Past represents Scrooge\'s history and helps him confront his former self and decisions made in life."', 'source_id': 'chunk-90b95db5c53e4364a6bee36b7aa4d70fchunk-b2f98bc7abb0c67d4c86055c7fd72218'} +2024-10-30 06:04:34,015 - lightrag - INFO - get_node:query:MATCH (n:`THE DOMESTIC BALL`) RETURN n:result:"The Domestic Ball represents a joyful gathering, fostering a sense of community and happiness among the participants.""The Domestic Ball represents a joyful gathering, fostering a sense of community and happiness among the participants.""The Domestic Ball represents a joyful gathering, fostering a sense of community and happiness among the participants."', 'source_id': 'chunk-b2f98bc7abb0c67d4c86055c7fd72218'}> +2024-10-30 06:04:34,150 - lightrag - INFO - _do_upsert:query: + MERGE (n:`THE DOMESTIC BALL`) + SET n += $properties + RETURN n + :result:{'entity_type': '"EVENT"', 'description': '"The Domestic Ball is a joyful celebration organized by Fezziwig, where guests enjoy dancing and merry exchanges.""The Domestic Ball represents a joyful gathering, fostering a sense of community and happiness among the participants.""The Domestic Ball represents a joyful gathering, fostering a sense of community and happiness among the participants.""The Domestic Ball represents a joyful gathering, fostering a sense of community and happiness among the participants.""The Domestic Ball represents a joyful gathering, fostering a sense of community and happiness among the participants."', 'source_id': 'chunk-b2f98bc7abb0c67d4c86055c7fd72218'} +2024-10-30 06:04:34,278 - lightrag - INFO - get_node:query:MATCH (n:`THE TWO APPRENTICES`) RETURN n:result:"The Two Apprentices are characters present at the Domestic Ball, who express gratitude and admiration for Fezziwig after the event.""The Two Apprentices are characters present at the Domestic Ball, who express gratitude and admiration for Fezziwig after the event.""The Two Apprentices are characters present at the Domestic Ball, who express gratitude and admiration for Fezziwig after the event."', 'source_id': 'chunk-b2f98bc7abb0c67d4c86055c7fd72218'}> +2024-10-30 06:04:34,411 - lightrag - INFO - _do_upsert:query: + MERGE (n:`THE TWO APPRENTICES`) + SET n += $properties + RETURN n + :result:{'entity_type': '"PERSON"', 'description': '"The Two Apprentices are characters from Fezziwig\'s establishment who express gratitude and admiration for Fezziwig\'s positive influence during the Domestic Ball.""The Two Apprentices are characters present at the Domestic Ball, who express gratitude and admiration for Fezziwig after the event.""The Two Apprentices are characters present at the Domestic Ball, who express gratitude and admiration for Fezziwig after the event.""The Two Apprentices are characters present at the Domestic Ball, who express gratitude and admiration for Fezziwig after the event.""The Two Apprentices are characters present at the Domestic Ball, who express gratitude and admiration for Fezziwig after the event."', 'source_id': 'chunk-b2f98bc7abb0c67d4c86055c7fd72218'} +2024-10-30 06:04:34,544 - lightrag - INFO - get_node:query:MATCH (n:`THE GOLDEN IDOL`) RETURN n:result: +2024-10-30 06:04:34,682 - lightrag - INFO - _do_upsert:query: + MERGE (n:`THE GOLDEN IDOL`) + SET n += $properties + RETURN n + :result:{'entity_type': '"CONCEPT"', 'description': '"The Golden Idol symbolizes materialism and the pursuit of wealth, indicating a shift in Scrooge\'s values over time."', 'source_id': 'chunk-b2f98bc7abb0c67d4c86055c7fd72218'} +2024-10-30 06:04:34,813 - lightrag - INFO - get_node:query:MATCH (n:`THE PRIME OF LIFE`) RETURN n:result: +2024-10-30 06:04:34,947 - lightrag - INFO - _do_upsert:query: + MERGE (n:`THE PRIME OF LIFE`) + SET n += $properties + RETURN n + :result:{'entity_type': '"EVENT"', 'description': '"The Prime of Life refers to a phase in Scrooge\'s youth when he was more carefree before becoming hardened by greed."', 'source_id': 'chunk-b2f98bc7abb0c67d4c86055c7fd72218'} +2024-10-30 06:04:35,076 - lightrag - INFO - get_node:query:MATCH (n:`THE MOURNING DRESS`) RETURN n:result: +2024-10-30 06:04:35,210 - lightrag - INFO - _do_upsert:query: + MERGE (n:`THE MOURNING DRESS`) + SET n += $properties + RETURN n + :result:{'entity_type': '"CONCEPT"', 'description': '"The Mourning Dress symbolizes loss and separation, highlighting the emotional distance between Scrooge and his former love."', 'source_id': 'chunk-b2f98bc7abb0c67d4c86055c7fd72218'} +2024-10-30 06:04:35,338 - lightrag - INFO - get_node:query:MATCH (n:`THE BEAUTIFUL YOUNG GIRL`) RETURN n:result: +2024-10-30 06:04:35,476 - lightrag - INFO - _do_upsert:query: + MERGE (n:`THE BEAUTIFUL YOUNG GIRL`) + SET n += $properties + RETURN n + :result:{'entity_type': '"PERSON"', 'description': '"The Beautiful Young Girl is a figure from Scrooge\'s past, representing lost opportunities and innocence."', 'source_id': 'chunk-54bdd22db1f84a965b5f4c06c9216d8d'} +2024-10-30 06:04:35,606 - lightrag - INFO - get_node:query:MATCH (n:`THE COMELY MATRON`) RETURN n:result: +2024-10-30 06:04:35,739 - lightrag - INFO - _do_upsert:query: + MERGE (n:`THE COMELY MATRON`) + SET n += $properties + RETURN n + :result:{'entity_type': '"PERSON"', 'description': '"The Comely Matron is the grown-up version of the Beautiful Young Girl, emphasizing change and the passage of time."', 'source_id': 'chunk-54bdd22db1f84a965b5f4c06c9216d8d'} +2024-10-30 06:04:35,876 - lightrag - INFO - get_node:query:MATCH (n:`CHRISTMAS TOYS AND PRESENTS`) RETURN n:result:"Christmas Toys and Presents are associated with familial love and joy, as they arrive with the father, enhancing the holiday spirit.""Christmas Toys and Presents are associated with familial love and joy, as they arrive with the father, enhancing the holiday spirit.""Christmas Toys and Presents are associated with joy and celebration, marking the festive occasion and the love shared among family.""Christmas Toys and Presents signify the spirit of giving and the excitement that surrounds the holiday season, especially for children.""Christmas Toys and Presents signify the spirit of giving and the excitement that surrounds the holiday season, especially for children.""Christmas Toys and Presents signify the spirit of giving and the excitement that surrounds the holiday season, especially for children."', 'source_id': 'chunk-54bdd22db1f84a965b5f4c06c9216d8dchunk-da2472b4ef2a535b62908f14d0fb0ca9'}> +2024-10-30 06:04:36,013 - lightrag - INFO - _do_upsert:query: + MERGE (n:`CHRISTMAS TOYS AND PRESENTS`) + SET n += $properties + RETURN n + :result:{'entity_type': '"EVENT"', 'description': '"Christmas Toys and Presents are associated with familial love and joy, as they arrive with the father, enhancing the holiday spirit.""Christmas Toys and Presents are associated with familial love and joy, as they arrive with the father, enhancing the holiday spirit.""Christmas Toys and Presents are associated with familial love and joy, as they arrive with the father, enhancing the holiday spirit.""Christmas Toys and Presents are associated with familial love and joy, as they arrive with the father, enhancing the holiday spirit.""Christmas Toys and Presents are associated with joy and celebration, marking the festive occasion and the love shared among family.""Christmas Toys and Presents signify the spirit of giving and the excitement that surrounds the holiday season, especially for children.""Christmas Toys and Presents signify the spirit of giving and the excitement that surrounds the holiday season, especially for children.""Christmas Toys and Presents signify the spirit of giving and the excitement that surrounds the holiday season, especially for children.""Christmas Toys and Presents signify the spirit of giving and the excitement that surrounds the holiday season, especially for children."', 'source_id': 'chunk-da2472b4ef2a535b62908f14d0fb0ca9chunk-54bdd22db1f84a965b5f4c06c9216d8d'} +2024-10-30 06:04:36,140 - lightrag - INFO - get_node:query:MATCH (n:`THE ROOM`) RETURN n:result: +2024-10-30 06:04:36,275 - lightrag - INFO - _do_upsert:query: + MERGE (n:`THE ROOM`) + SET n += $properties + RETURN n + :result:{'entity_type': '"GEO"', 'description': '"The Room is described as a cozy, comfortable setting where the comely matron and her children interact during festive times."', 'source_id': 'chunk-54bdd22db1f84a965b5f4c06c9216d8d'} +2024-10-30 06:04:36,405 - lightrag - INFO - get_node:query:MATCH (n:`THE WINTER FIRE`) RETURN n:result: +2024-10-30 06:04:36,543 - lightrag - INFO - _do_upsert:query: + MERGE (n:`THE WINTER FIRE`) + SET n += $properties + RETURN n + :result:{'entity_type': '"EVENT"', 'description': '"The Winter Fire represents warmth and comfort in the room where the matron and children gather, enhancing the festive atmosphere."', 'source_id': 'chunk-54bdd22db1f84a965b5f4c06c9216d8d'} +2024-10-30 06:04:36,675 - lightrag - INFO - get_node:query:MATCH (n:`THE FATHER`) RETURN n:result:"The Father is a character who returns home and is greeted with excitement, embodying family warmth and joy during Christmas celebrations.""The Father is a character who returns home with presents, symbolizing the joy of family and the spirit of giving during Christmas.""The Father is a character who returns home and is greeted with excitement, embodying family warmth and joy during Christmas celebrations.""The Father is a character who returns home with presents, symbolizing the joy of family and the spirit of giving during Christmas.""The Father is a character who returns home and is greeted with excitement, embodying family warmth and joy during Christmas celebrations.""The Father is a character who returns home with presents, symbolizing the joy of family and the spirit of giving during Christmas."', 'source_id': 'chunk-54bdd22db1f84a965b5f4c06c9216d8dchunk-da2472b4ef2a535b62908f14d0fb0ca9'}> +2024-10-30 06:04:36,813 - lightrag - INFO - _do_upsert:query: + MERGE (n:`THE FATHER`) + SET n += $properties + RETURN n + :result:{'entity_type': '"PERSON"', 'description': '"The Father is a character who arrives home with Christmas presents, symbolizing familial joy and festive spirit.""The Father is a character who returns home and is greeted with excitement, embodying family warmth and joy during Christmas celebrations.""The Father is a character who returns home with presents, symbolizing the joy of family and the spirit of giving during Christmas.""The Father is a character who returns home and is greeted with excitement, embodying family warmth and joy during Christmas celebrations.""The Father is a character who returns home with presents, symbolizing the joy of family and the spirit of giving during Christmas.""The Father is a character who returns home and is greeted with excitement, embodying family warmth and joy during Christmas celebrations.""The Father is a character who returns home with presents, symbolizing the joy of family and the spirit of giving during Christmas.""The Father is a character who returns home and is greeted with excitement, embodying family warmth and joy during Christmas celebrations.""The Father is a character who returns home with presents, symbolizing the joy of family and the spirit of giving during Christmas."', 'source_id': 'chunk-da2472b4ef2a535b62908f14d0fb0ca9chunk-54bdd22db1f84a965b5f4c06c9216d8d'} +2024-10-30 06:04:36,947 - lightrag - INFO - get_node:query:MATCH (n:`THE YOUNG BRIGANDS`) RETURN n:result: +2024-10-30 06:04:37,104 - lightrag - INFO - _do_upsert:query: + MERGE (n:`THE YOUNG BRIGANDS`) + SET n += $properties + RETURN n + :result:{'entity_type': '"PERSON"', 'description': '"The Young Brigands are a playful group of children engaged in merriment and mischief during the festive celebration."', 'source_id': 'chunk-54bdd22db1f84a965b5f4c06c9216d8d'} +2024-10-30 06:04:37,233 - lightrag - INFO - get_node:query:MATCH (n:`THE DOWERLESS GIRL`) RETURN n:result: +2024-10-30 06:04:37,369 - lightrag - INFO - _do_upsert:query: + MERGE (n:`THE DOWERLESS GIRL`) + SET n += $properties + RETURN n + :result:{'entity_type': '"PERSON"', 'description': '"The Dowerless Girl is a symbolic representation of the limitations in relationships based on social and economic status as reflected in Scrooge\'s dialogue."', 'source_id': 'chunk-54bdd22db1f84a965b5f4c06c9216d8d'} +2024-10-30 06:04:37,500 - lightrag - INFO - get_node:query:MATCH (n:`THE MEMORY`) RETURN n:result: +2024-10-30 06:04:37,635 - lightrag - INFO - _do_upsert:query: + MERGE (n:`THE MEMORY`) + SET n += $properties + RETURN n + :result:{'entity_type': '"CONCEPT"', 'description': '"The Memory refers to the recollections of past relationships and feelings that haunt Scrooge as he contemplates his choices."', 'source_id': 'chunk-54bdd22db1f84a965b5f4c06c9216d8d'} +2024-10-30 06:04:37,764 - lightrag - INFO - get_node:query:MATCH (n:`HAPPINESS`) RETURN n:result: +2024-10-30 06:04:37,900 - lightrag - INFO - _do_upsert:query: + MERGE (n:`HAPPINESS`) + SET n += $properties + RETURN n + :result:{'entity_type': '"CONCEPT"', 'description': '"Happiness signifies the conflicting emotions Scrooge feels regarding past love and the reality of his current life choices."', 'source_id': 'chunk-54bdd22db1f84a965b5f4c06c9216d8d'} +2024-10-30 06:04:38,031 - lightrag - INFO - get_node:query:MATCH (n:`HOPE`) RETURN n:result:"Hope emerges as a central theme in the characters\' lives, particularly through Caroline\'s reaction to news about the husband and the family\'s future.""Hope emerges as a central theme in the characters\' lives, particularly through Caroline\'s reaction to news about the husband and the family\'s future.""Hope represents the aspirations and dreams that characters have, particularly in the context of the matron\'s optimistic nature.""Hope represents the aspirations and dreams that characters have, particularly in the context of the matron\'s optimistic nature.""Hope represents the aspirations and dreams that characters have, particularly in the context of the matron\'s optimistic nature."', 'source_id': 'chunk-54bdd22db1f84a965b5f4c06c9216d8dchunk-83ac129dc9b56f84c46760d153d68e93'}> +2024-10-30 06:04:38,165 - lightrag - INFO - _do_upsert:query: + MERGE (n:`HOPE`) + SET n += $properties + RETURN n + :result:{'entity_type': '"CONCEPT"', 'description': '"Hope emerges as a central theme in the characters\' lives, particularly through Caroline\'s reaction to news about the husband and the family\'s future.""Hope emerges as a central theme in the characters\' lives, particularly through Caroline\'s reaction to news about the husband and the family\'s future.""Hope emerges as a central theme in the characters\' lives, particularly through Caroline\'s reaction to news about the husband and the family\'s future.""Hope emerges as a central theme in the characters\' lives, particularly through Caroline\'s reaction to news about the husband and the family\'s future.""Hope represents the aspirations and dreams that characters have, particularly in the context of the matron\'s optimistic nature.""Hope represents the aspirations and dreams that characters have, particularly in the context of the matron\'s optimistic nature.""Hope represents the aspirations and dreams that characters have, particularly in the context of the matron\'s optimistic nature.""Hope represents the aspirations and dreams that characters have, particularly in the context of the matron\'s optimistic nature."', 'source_id': 'chunk-83ac129dc9b56f84c46760d153d68e93chunk-54bdd22db1f84a965b5f4c06c9216d8d'} +2024-10-30 06:04:38,297 - lightrag - INFO - get_node:query:MATCH (n:`BELLE`) RETURN n:result:"Belle is Scrooge\'s former love, evidence of care and affection, now mentioned in the context of Scrooge’s memories.""Belle is Scrooge\'s former love, evidence of care and affection, now mentioned in the context of Scrooge’s memories.""Belle is Scrooge\'s former love, evidence of care and affection, now mentioned in the context of Scrooge’s memories."', 'source_id': 'chunk-da2472b4ef2a535b62908f14d0fb0ca9'}> +2024-10-30 06:04:38,434 - lightrag - INFO - _do_upsert:query: + MERGE (n:`BELLE`) + SET n += $properties + RETURN n + :result:{'entity_type': '"PERSON"', 'description': '"Belle is Scrooge\'s former love whose presence evokes strong feelings of longing and sorrow in Scrooge.""Belle is Scrooge\'s former love, evidence of care and affection, now mentioned in the context of Scrooge’s memories.""Belle is Scrooge\'s former love, evidence of care and affection, now mentioned in the context of Scrooge’s memories.""Belle is Scrooge\'s former love, evidence of care and affection, now mentioned in the context of Scrooge’s memories.""Belle is Scrooge\'s former love, evidence of care and affection, now mentioned in the context of Scrooge’s memories."', 'source_id': 'chunk-da2472b4ef2a535b62908f14d0fb0ca9'} +2024-10-30 06:04:38,566 - lightrag - INFO - get_node:query:MATCH (n:`THE OFFICE`) RETURN n:result:"The Office is Scrooge\'s workplace, signifying his past life and the memories associated with his business dealings.""The Office is Scrooge\'s workplace, signifying his past life and the memories associated with his business dealings.""The Office refers to Scrooge\'s workplace, emphasizing his isolation and the business-focused nature of his life.""The Office refers to the workplace where Scrooge and Bob Cratchit interact, highlighting the power dynamics and work-related tension.""The Office refers to Scrooge\'s workplace, emphasizing his isolation and the business-focused nature of his life.""The Office refers to the workplace where Scrooge and Bob Cratchit interact, highlighting the power dynamics and work-related tension.""The Office refers to Scrooge\'s workplace, emphasizing his isolation and the business-focused nature of his life.""The Office refers to the workplace where Scrooge and Bob Cratchit interact, highlighting the power dynamics and work-related tension."', 'source_id': 'chunk-94bea83e7153fc2064aa382b494936a1chunk-91572b3cd42786ba4cb2f180ca25cbf4chunk-da2472b4ef2a535b62908f14d0fb0ca9'}> +2024-10-30 06:04:38,699 - lightrag - INFO - _do_upsert:query: + MERGE (n:`THE OFFICE`) + SET n += $properties + RETURN n + :result:{'entity_type': '"ORGANIZATION"', 'description': '"The Office is Scrooge\'s workplace, signifying his past life and the memories associated with his business dealings.""The Office is Scrooge\'s workplace, signifying his past life and the memories associated with his business dealings.""The Office is Scrooge\'s workplace, signifying his past life and the memories associated with his business dealings.""The Office is Scrooge\'s workplace, signifying his past life and the memories associated with his business dealings.""The Office refers to Scrooge\'s workplace, emphasizing his isolation and the business-focused nature of his life.""The Office refers to the workplace where Scrooge and Bob Cratchit interact, highlighting the power dynamics and work-related tension.""The Office refers to Scrooge\'s workplace, emphasizing his isolation and the business-focused nature of his life.""The Office refers to the workplace where Scrooge and Bob Cratchit interact, highlighting the power dynamics and work-related tension.""The Office refers to Scrooge\'s workplace, emphasizing his isolation and the business-focused nature of his life.""The Office refers to the workplace where Scrooge and Bob Cratchit interact, highlighting the power dynamics and work-related tension.""The Office refers to Scrooge\'s workplace, emphasizing his isolation and the business-focused nature of his life.""The Office refers to the workplace where Scrooge and Bob Cratchit interact, highlighting the power dynamics and work-related tension."', 'source_id': 'chunk-94bea83e7153fc2064aa382b494936a1chunk-91572b3cd42786ba4cb2f180ca25cbf4chunk-da2472b4ef2a535b62908f14d0fb0ca9'} +2024-10-30 06:04:38,830 - lightrag - INFO - get_node:query:MATCH (n:`THE PORTER`) RETURN n:result:"The Porter is depicted as a defenseless character being playfully assaulted by the children during their festive excitement.""The Porter is depicted as a defenseless character being playfully assaulted by the children during their festive excitement.""The Porter is depicted as a defenseless character being playfully assaulted by the children during their festive excitement."', 'source_id': 'chunk-da2472b4ef2a535b62908f14d0fb0ca9'}> +2024-10-30 06:04:38,967 - lightrag - INFO - _do_upsert:query: + MERGE (n:`THE PORTER`) + SET n += $properties + RETURN n + :result:{'entity_type': '"PERSON"', 'description': '"The Porter is a character who becomes the target of playful affection from the children, showcasing innocence and chaos during celebrations.""The Porter is depicted as a defenseless character being playfully assaulted by the children during their festive excitement.""The Porter is depicted as a defenseless character being playfully assaulted by the children during their festive excitement.""The Porter is depicted as a defenseless character being playfully assaulted by the children during their festive excitement.""The Porter is depicted as a defenseless character being playfully assaulted by the children during their festive excitement."', 'source_id': 'chunk-da2472b4ef2a535b62908f14d0fb0ca9'} +2024-10-30 06:04:39,094 - lightrag - INFO - get_node:query:MATCH (n:`THE BABY`) RETURN n:result: +2024-10-30 06:04:39,229 - lightrag - INFO - _do_upsert:query: + MERGE (n:`THE BABY`) + SET n += $properties + RETURN n + :result:{'entity_type': '"PERSON"', 'description': '"The Baby is involved in a comical mishap concerning a doll\'s frying pan, symbolizing the innocence and curiosity of childhood."', 'source_id': 'chunk-da2472b4ef2a535b62908f14d0fb0ca9'} +2024-10-30 06:04:39,360 - lightrag - INFO - get_node:query:MATCH (n:`THE MOTHER`) RETURN n:result:"The Mother is a character associated with the family dynamics during the Christmas scene, though her actions are not explicitly detailed.""The Mother is depicted as a comely matron, who enjoys the laughter and chaos with her children, showing warmth and family value.""The Mother is a character who exhibits anxiety and hope as she awaits her husband\'s return, embodying the emotional depth of family relations during hardship.""The Mother is a character who shares a tender moment with her husband and daughter, representing familial love and connection.""The Mother is a character who exhibits anxiety and hope as she awaits her husband\'s return, embodying the emotional depth of family relations during hardship.""The Mother is a character who shares a tender moment with her husband and daughter, representing familial love and connection.""The Mother is a character who exhibits anxiety and hope as she awaits her husband\'s return, embodying the emotional depth of family relations during hardship.""The Mother is a character who shares a tender moment with her husband and daughter, representing familial love and connection."', 'source_id': 'chunk-54bdd22db1f84a965b5f4c06c9216d8dchunk-da2472b4ef2a535b62908f14d0fb0ca9chunk-83ac129dc9b56f84c46760d153d68e93'}> +2024-10-30 06:04:39,493 - lightrag - INFO - _do_upsert:query: + MERGE (n:`THE MOTHER`) + SET n += $properties + RETURN n + :result:{'entity_type': '"PERSON"', 'description': '"The Mother exemplifies apprehension and hope regarding her husband\'s return, depicting the emotional burden of waiting and uncertainty.""The Mother is a character associated with the family dynamics during the Christmas scene, though her actions are not explicitly detailed.""The Mother is depicted as a comely matron, who enjoys the laughter and chaos with her children, showing warmth and family value.""The Mother is a character who exhibits anxiety and hope as she awaits her husband\'s return, embodying the emotional depth of family relations during hardship.""The Mother is a character who shares a tender moment with her husband and daughter, representing familial love and connection.""The Mother is a character who exhibits anxiety and hope as she awaits her husband\'s return, embodying the emotional depth of family relations during hardship.""The Mother is a character who shares a tender moment with her husband and daughter, representing familial love and connection.""The Mother is a character who exhibits anxiety and hope as she awaits her husband\'s return, embodying the emotional depth of family relations during hardship.""The Mother is a character who shares a tender moment with her husband and daughter, representing familial love and connection.""The Mother is a character who exhibits anxiety and hope as she awaits her husband\'s return, embodying the emotional depth of family relations during hardship.""The Mother is a character who shares a tender moment with her husband and daughter, representing familial love and connection."', 'source_id': 'chunk-da2472b4ef2a535b62908f14d0fb0ca9chunk-83ac129dc9b56f84c46760d153d68e93chunk-54bdd22db1f84a965b5f4c06c9216d8d'} +2024-10-30 06:04:39,625 - lightrag - INFO - get_node:query:MATCH (n:`CITY`) RETURN n:result:"The City represents the urban setting where Scrooge witnesses the indifference of its inhabitants regarding his death.""The City represents the urban setting where Scrooge\'s transformation takes place, symbolizing the broader society impacted by his changes.""The City serves as a backdrop where various scenes unfold, representing the hustle of life and economic concerns.""The City symbolizes the urban setting where Scrooge\'s transformation takes place, primarily depicting the contrast between Scrooge\'s isolation and the outer world filled with festivities.""The City serves as a backdrop where various scenes unfold, representing the hustle of life and economic concerns.""The City symbolizes the urban setting where Scrooge\'s transformation takes place, primarily depicting the contrast between Scrooge\'s isolation and the outer world filled with festivities.""The City serves as a backdrop where various scenes unfold, representing the hustle of life and economic concerns.""The City symbolizes the urban setting where Scrooge\'s transformation takes place, primarily depicting the contrast between Scrooge\'s isolation and the outer world filled with festivities."', 'source_id': 'chunk-94bea83e7153fc2064aa382b494936a1chunk-02baee20cc9463dbe08170a8e1043e32chunk-843b5b2f944c7413d9ca876e2e2f151f'}> +2024-10-30 06:04:39,759 - lightrag - INFO - _do_upsert:query: + MERGE (n:`CITY`) + SET n += $properties + RETURN n + :result:{'entity_type': '"GEO"', 'description': '"The City refers to a generic location embodying the community and societal norms, with which Scrooge has a complex relationship.""The City represents the urban setting where Scrooge witnesses the indifference of its inhabitants regarding his death.""The City represents the urban setting where Scrooge\'s transformation takes place, symbolizing the broader society impacted by his changes.""The City serves as a backdrop where various scenes unfold, representing the hustle of life and economic concerns.""The City symbolizes the urban setting where Scrooge\'s transformation takes place, primarily depicting the contrast between Scrooge\'s isolation and the outer world filled with festivities.""The City serves as a backdrop where various scenes unfold, representing the hustle of life and economic concerns.""The City symbolizes the urban setting where Scrooge\'s transformation takes place, primarily depicting the contrast between Scrooge\'s isolation and the outer world filled with festivities.""The City serves as a backdrop where various scenes unfold, representing the hustle of life and economic concerns.""The City symbolizes the urban setting where Scrooge\'s transformation takes place, primarily depicting the contrast between Scrooge\'s isolation and the outer world filled with festivities.""The City serves as a backdrop where various scenes unfold, representing the hustle of life and economic concerns.""The City symbolizes the urban setting where Scrooge\'s transformation takes place, primarily depicting the contrast between Scrooge\'s isolation and the outer world filled with festivities."', 'source_id': 'chunk-94bea83e7153fc2064aa382b494936a1chunk-843b5b2f944c7413d9ca876e2e2f151fchunk-02baee20cc9463dbe08170a8e1043e32'} +2024-10-30 06:04:39,890 - lightrag - INFO - get_node:query:MATCH (n:`SPIRIT`) RETURN n:result:"The Spirit embodies the lessons of compassion and social responsibility, guiding Scrooge through his reflections and realizations.""The Spirit is the manifestation of Scrooge\'s past that guides him through his memories, representing his former self and the influence of time.""The Spirit represents a ghostly entity, guiding Scrooge through visions of potential future events and urging him to acknowledge societal issues.""The Spirit represents a supernatural entity guiding Scrooge through his reflections on life, death, and human emotions, prompting self-awareness.""The Spirit represents the embodiment of the Christmas present, personifying the themes of generosity and merriment.""The Spirit refers to the Ghost of Christmas Present, which embodies the essence of the Christmas season and serves as a guide for Scrooge.""The Spirit represents a ghostly figure guiding Scrooge through reflections related to a death, illustrating lessons about life and mortality.""The Spirit represents a supernatural being guiding Scrooge through lessons about the consequences of his actions and the future.""The Spirit represents a supernatural entity guiding Scrooge and teaching him lessons about compassion and humanity.""The Spirit refers to the Ghost of Christmas Present, which embodies the essence of the Christmas season and serves as a guide for Scrooge.""The Spirit represents a ghostly figure guiding Scrooge through reflections related to a death, illustrating lessons about life and mortality.""The Spirit represents a supernatural being guiding Scrooge through lessons about the consequences of his actions and the future.""The Spirit represents a supernatural entity guiding Scrooge and teaching him lessons about compassion and humanity.""The Spirit refers to the Ghost of Christmas Present, which embodies the essence of the Christmas season and serves as a guide for Scrooge.""The Spirit represents a ghostly figure guiding Scrooge through reflections related to a death, illustrating lessons about life and mortality.""The Spirit represents a supernatural being guiding Scrooge through lessons about the consequences of his actions and the future.""The Spirit represents a supernatural entity guiding Scrooge and teaching him lessons about compassion and humanity."', 'source_id': 'chunk-02baee20cc9463dbe08170a8e1043e32chunk-bb21d58d36c6306fd8810ddd51c4a971chunk-e7637ff18c5ded77a68cce0a87883fadchunk-83ac129dc9b56f84c46760d153d68e93chunk-843b5b2f944c7413d9ca876e2e2f151fchunk-1aa50206d02ed89418f65f97c6441d1c'}> +2024-10-30 06:04:39,893 - lightrag - DEBUG - Trigger summary: "SPIRIT" +2024-10-30 06:04:39,995 - lightrag - INFO - get_node:query:MATCH (n:`MISTLETOE`) RETURN n:result:"Mistletoe is a plant used as a Christmas decoration, symbolizing love and goodwill during the holiday season.""Mistletoe is a plant used as a Christmas decoration, symbolizing love and goodwill during the holiday season.""Mistletoe is a traditional plant used for decoration during Christmas, symbolizing joy and a festive spirit.""Mistletoe is described in the context of Christmas decorations, often used for kissing and holiday celebrations.""Mistletoe is described in the context of Christmas decorations, often used for kissing and holiday celebrations.""Mistletoe is described in the context of Christmas decorations, often used for kissing and holiday celebrations."', 'source_id': 'chunk-99b0ec7f7e006561352b5d65e849611dchunk-843b5b2f944c7413d9ca876e2e2f151f'}> +2024-10-30 06:04:40,130 - lightrag - INFO - _do_upsert:query: + MERGE (n:`MISTLETOE`) + SET n += $properties + RETURN n + :result:{'entity_type': '"ORGANIZATION"', 'description': '"Mistletoe is a plant used as a Christmas decoration, symbolizing love and goodwill during the holiday season.""Mistletoe is a plant used as a Christmas decoration, symbolizing love and goodwill during the holiday season.""Mistletoe is a plant used as a Christmas decoration, symbolizing love and goodwill during the holiday season.""Mistletoe is a plant used as a Christmas decoration, symbolizing love and goodwill during the holiday season.""Mistletoe is a traditional plant used for decoration during Christmas, symbolizing joy and a festive spirit.""Mistletoe is described in the context of Christmas decorations, often used for kissing and holiday celebrations.""Mistletoe is described in the context of Christmas decorations, often used for kissing and holiday celebrations.""Mistletoe is described in the context of Christmas decorations, often used for kissing and holiday celebrations.""Mistletoe is described in the context of Christmas decorations, often used for kissing and holiday celebrations."', 'source_id': 'chunk-843b5b2f944c7413d9ca876e2e2f151fchunk-99b0ec7f7e006561352b5d65e849611d'} +2024-10-30 06:04:40,265 - lightrag - INFO - get_node:query:MATCH (n:`RED BERRIES`) RETURN n:result:"Red Berries are decorative elements commonly used during Christmas decorations, adding color and festivity.""Red Berries are decorative elements commonly used during Christmas decorations, adding color and festivity.""Red Berries are festive decorations representing the colors of Christmas, enhancing the holiday atmosphere.""Red Berries are festive decorations representing the colors of Christmas, enhancing the holiday atmosphere.""Red Berries are festive decorations representing the colors of Christmas, enhancing the holiday atmosphere."', 'source_id': 'chunk-99b0ec7f7e006561352b5d65e849611dchunk-843b5b2f944c7413d9ca876e2e2f151f'}> +2024-10-30 06:04:40,405 - lightrag - INFO - _do_upsert:query: + MERGE (n:`RED BERRIES`) + SET n += $properties + RETURN n + :result:{'entity_type': '"ORGANIZATION"', 'description': '"Red Berries are decorative elements commonly used during Christmas decorations, adding color and festivity.""Red Berries are decorative elements commonly used during Christmas decorations, adding color and festivity.""Red Berries are decorative elements commonly used during Christmas decorations, adding color and festivity.""Red Berries are decorative elements commonly used during Christmas decorations, adding color and festivity.""Red Berries are festive decorations representing the colors of Christmas, enhancing the holiday atmosphere.""Red Berries are festive decorations representing the colors of Christmas, enhancing the holiday atmosphere.""Red Berries are festive decorations representing the colors of Christmas, enhancing the holiday atmosphere.""Red Berries are festive decorations representing the colors of Christmas, enhancing the holiday atmosphere."', 'source_id': 'chunk-843b5b2f944c7413d9ca876e2e2f151fchunk-99b0ec7f7e006561352b5d65e849611d'} +2024-10-30 06:04:40,536 - lightrag - INFO - get_node:query:MATCH (n:`TURKEYS`) RETURN n:result:"Turkeys represent a common food item associated with the Christmas feast, highlighting the culinary aspects of the celebration.""Turkeys are food items prominently featured in Christmas meals, representing a festive celebration of the holiday.""Turkeys are part of the Christmas feast, symbolizing the abundance and sharing associated with the holiday.""Turkeys are food items prominently featured in Christmas meals, representing a festive celebration of the holiday.""Turkeys are part of the Christmas feast, symbolizing the abundance and sharing associated with the holiday.""Turkeys are food items prominently featured in Christmas meals, representing a festive celebration of the holiday.""Turkeys are part of the Christmas feast, symbolizing the abundance and sharing associated with the holiday."', 'source_id': 'chunk-99b0ec7f7e006561352b5d65e849611dchunk-843b5b2f944c7413d9ca876e2e2f151f'}> +2024-10-30 06:04:40,668 - lightrag - INFO - _do_upsert:query: + MERGE (n:`TURKEYS`) + SET n += $properties + RETURN n + :result:{'entity_type': '"ORGANIZATION"', 'description': '"Turkeys are described as part of a lavish spread that symbolizes the abundance and joy of the Christmas season.""Turkeys represent a common food item associated with the Christmas feast, highlighting the culinary aspects of the celebration.""Turkeys are food items prominently featured in Christmas meals, representing a festive celebration of the holiday.""Turkeys are part of the Christmas feast, symbolizing the abundance and sharing associated with the holiday.""Turkeys are food items prominently featured in Christmas meals, representing a festive celebration of the holiday.""Turkeys are part of the Christmas feast, symbolizing the abundance and sharing associated with the holiday.""Turkeys are food items prominently featured in Christmas meals, representing a festive celebration of the holiday.""Turkeys are part of the Christmas feast, symbolizing the abundance and sharing associated with the holiday.""Turkeys are food items prominently featured in Christmas meals, representing a festive celebration of the holiday.""Turkeys are part of the Christmas feast, symbolizing the abundance and sharing associated with the holiday."', 'source_id': 'chunk-843b5b2f944c7413d9ca876e2e2f151fchunk-99b0ec7f7e006561352b5d65e849611d'} +2024-10-30 06:04:40,800 - lightrag - INFO - get_node:query:MATCH (n:`POULTRY`) RETURN n:result:"Poultry is another aspect of the Christmas feast, representing the various traditions of holiday meals.""Poultry is another aspect of the Christmas feast, representing the various traditions of holiday meals.""Poultry refers to various birds used for Christmas meals, representing the culinary traditions of the holiday.""Poultry represents a variety of birds that are often prepared for Christmas dinners, enhancing the festive festivities.""Poultry represents a variety of birds that are often prepared for Christmas dinners, enhancing the festive festivities.""Poultry represents a variety of birds that are often prepared for Christmas dinners, enhancing the festive festivities."', 'source_id': 'chunk-99b0ec7f7e006561352b5d65e849611dchunk-843b5b2f944c7413d9ca876e2e2f151f'}> +2024-10-30 06:04:40,934 - lightrag - INFO - _do_upsert:query: + MERGE (n:`POULTRY`) + SET n += $properties + RETURN n + :result:{'entity_type': '"ORGANIZATION"', 'description': '"Poultry is another aspect of the Christmas feast, representing the various traditions of holiday meals.""Poultry is another aspect of the Christmas feast, representing the various traditions of holiday meals.""Poultry is another aspect of the Christmas feast, representing the various traditions of holiday meals.""Poultry is another aspect of the Christmas feast, representing the various traditions of holiday meals.""Poultry refers to various birds used for Christmas meals, representing the culinary traditions of the holiday.""Poultry represents a variety of birds that are often prepared for Christmas dinners, enhancing the festive festivities.""Poultry represents a variety of birds that are often prepared for Christmas dinners, enhancing the festive festivities.""Poultry represents a variety of birds that are often prepared for Christmas dinners, enhancing the festive festivities.""Poultry represents a variety of birds that are often prepared for Christmas dinners, enhancing the festive festivities."', 'source_id': 'chunk-843b5b2f944c7413d9ca876e2e2f151fchunk-99b0ec7f7e006561352b5d65e849611d'} +2024-10-30 06:04:41,068 - lightrag - INFO - get_node:query:MATCH (n:`MEAT`) RETURN n:result:"Meat refers to a significant part of the Christmas feast, further emphasizing the theme of abundance during the holiday.""Meat refers to a significant part of the Christmas feast, further emphasizing the theme of abundance during the holiday.""Meat serves as a general representation of the food consumed during Christmas celebrations, contributing to the holiday meals.""Meat serves as a general representation of the food consumed during Christmas celebrations, contributing to the holiday meals.""Meat serves as a general representation of the food consumed during Christmas celebrations, contributing to the holiday meals."', 'source_id': 'chunk-99b0ec7f7e006561352b5d65e849611dchunk-843b5b2f944c7413d9ca876e2e2f151f'}> +2024-10-30 06:04:41,202 - lightrag - INFO - _do_upsert:query: + MERGE (n:`MEAT`) + SET n += $properties + RETURN n + :result:{'entity_type': '"ORGANIZATION"', 'description': '"Meat refers to a significant part of the Christmas feast, further emphasizing the theme of abundance during the holiday.""Meat refers to a significant part of the Christmas feast, further emphasizing the theme of abundance during the holiday.""Meat refers to a significant part of the Christmas feast, further emphasizing the theme of abundance during the holiday.""Meat refers to a significant part of the Christmas feast, further emphasizing the theme of abundance during the holiday.""Meat serves as a general representation of the food consumed during Christmas celebrations, contributing to the holiday meals.""Meat serves as a general representation of the food consumed during Christmas celebrations, contributing to the holiday meals.""Meat serves as a general representation of the food consumed during Christmas celebrations, contributing to the holiday meals.""Meat serves as a general representation of the food consumed during Christmas celebrations, contributing to the holiday meals."', 'source_id': 'chunk-843b5b2f944c7413d9ca876e2e2f151fchunk-99b0ec7f7e006561352b5d65e849611d'} +2024-10-30 06:04:41,335 - lightrag - INFO - get_node:query:MATCH (n:`SAUSAGES`) RETURN n:result:"Sausages are festive foods that complement the traditional Christmas meal, adding to the variety of the feast.""Sausages are festive foods that complement the traditional Christmas meal, adding to the variety of the feast.""Sausages are food items mentioned that may be served during Christmas festivities, adding to the variety of traditional foods.""Sausages contribute to the rich variety of foods present at the celebration, reflecting festive abundance.""Sausages are food items mentioned that may be served during Christmas festivities, adding to the variety of traditional foods.""Sausages are food items mentioned that may be served during Christmas festivities, adding to the variety of traditional foods."', 'source_id': 'chunk-99b0ec7f7e006561352b5d65e849611dchunk-843b5b2f944c7413d9ca876e2e2f151f'}> +2024-10-30 06:04:41,472 - lightrag - INFO - _do_upsert:query: + MERGE (n:`SAUSAGES`) + SET n += $properties + RETURN n + :result:{'entity_type': '"ORGANIZATION"', 'description': '"Sausages are festive foods that complement the traditional Christmas meal, adding to the variety of the feast.""Sausages are festive foods that complement the traditional Christmas meal, adding to the variety of the feast.""Sausages are festive foods that complement the traditional Christmas meal, adding to the variety of the feast.""Sausages are festive foods that complement the traditional Christmas meal, adding to the variety of the feast.""Sausages are food items mentioned that may be served during Christmas festivities, adding to the variety of traditional foods.""Sausages contribute to the rich variety of foods present at the celebration, reflecting festive abundance.""Sausages are food items mentioned that may be served during Christmas festivities, adding to the variety of traditional foods.""Sausages are food items mentioned that may be served during Christmas festivities, adding to the variety of traditional foods.""Sausages are food items mentioned that may be served during Christmas festivities, adding to the variety of traditional foods."', 'source_id': 'chunk-843b5b2f944c7413d9ca876e2e2f151fchunk-99b0ec7f7e006561352b5d65e849611d'} +2024-10-30 06:04:41,603 - lightrag - INFO - get_node:query:MATCH (n:`OYSTERS`) RETURN n:result:"Oysters are considered delicacies that can enhance special occasions such as Christmas, indicating celebratory dining.""Oysters are considered delicacies that can enhance special occasions such as Christmas, indicating celebratory dining.""Oysters represent a delicacy often served during Christmas, symbolizing luxury and celebration.""Oysters represent a delicacy often served during Christmas, symbolizing luxury and celebration.""Oysters represent a delicacy often served during Christmas, symbolizing luxury and celebration."', 'source_id': 'chunk-99b0ec7f7e006561352b5d65e849611dchunk-843b5b2f944c7413d9ca876e2e2f151f'}> +2024-10-30 06:04:41,739 - lightrag - INFO - _do_upsert:query: + MERGE (n:`OYSTERS`) + SET n += $properties + RETURN n + :result:{'entity_type': '"ORGANIZATION"', 'description': '"Oysters are considered delicacies that can enhance special occasions such as Christmas, indicating celebratory dining.""Oysters are considered delicacies that can enhance special occasions such as Christmas, indicating celebratory dining.""Oysters are considered delicacies that can enhance special occasions such as Christmas, indicating celebratory dining.""Oysters are considered delicacies that can enhance special occasions such as Christmas, indicating celebratory dining.""Oysters represent a delicacy often served during Christmas, symbolizing luxury and celebration.""Oysters represent a delicacy often served during Christmas, symbolizing luxury and celebration.""Oysters represent a delicacy often served during Christmas, symbolizing luxury and celebration.""Oysters represent a delicacy often served during Christmas, symbolizing luxury and celebration."', 'source_id': 'chunk-843b5b2f944c7413d9ca876e2e2f151fchunk-99b0ec7f7e006561352b5d65e849611d'} +2024-10-30 06:04:41,872 - lightrag - INFO - get_node:query:MATCH (n:`PIES`) RETURN n:result:"Pies are a traditional dessert during the Christmas season, embodying the spirit of sharing and celebration.""Pies are a traditional dessert during the Christmas season, embodying the spirit of sharing and celebration.""Pies, often sweet, are traditional desserts served during Christmas, symbolizing festive dessert offerings.""Pies, often sweet, are traditional desserts served during Christmas, symbolizing festive dessert offerings.""Pies, often sweet, are traditional desserts served during Christmas, symbolizing festive dessert offerings."', 'source_id': 'chunk-99b0ec7f7e006561352b5d65e849611dchunk-843b5b2f944c7413d9ca876e2e2f151f'}> +2024-10-30 06:04:42,008 - lightrag - INFO - _do_upsert:query: + MERGE (n:`PIES`) + SET n += $properties + RETURN n + :result:{'entity_type': '"ORGANIZATION"', 'description': '"Pies are a traditional dessert during the Christmas season, embodying the spirit of sharing and celebration.""Pies are a traditional dessert during the Christmas season, embodying the spirit of sharing and celebration.""Pies are a traditional dessert during the Christmas season, embodying the spirit of sharing and celebration.""Pies are a traditional dessert during the Christmas season, embodying the spirit of sharing and celebration.""Pies, often sweet, are traditional desserts served during Christmas, symbolizing festive dessert offerings.""Pies, often sweet, are traditional desserts served during Christmas, symbolizing festive dessert offerings.""Pies, often sweet, are traditional desserts served during Christmas, symbolizing festive dessert offerings.""Pies, often sweet, are traditional desserts served during Christmas, symbolizing festive dessert offerings."', 'source_id': 'chunk-843b5b2f944c7413d9ca876e2e2f151fchunk-99b0ec7f7e006561352b5d65e849611d'} +2024-10-30 06:04:42,137 - lightrag - INFO - get_node:query:MATCH (n:`PUDDINGS`) RETURN n:result:"Puddings are a classic Christmas dessert, symbolizing warmth and indulgence during the holiday.""Puddings are a classic Christmas dessert, symbolizing warmth and indulgence during the holiday.""Puddings are showcased as a traditional dessert during Christmas celebrations, central to holiday meals.""Puddings are showcased as a traditional dessert during Christmas celebrations, central to holiday meals.""Puddings are showcased as a traditional dessert during Christmas celebrations, central to holiday meals."', 'source_id': 'chunk-99b0ec7f7e006561352b5d65e849611dchunk-843b5b2f944c7413d9ca876e2e2f151f'}> +2024-10-30 06:04:42,271 - lightrag - INFO - _do_upsert:query: + MERGE (n:`PUDDINGS`) + SET n += $properties + RETURN n + :result:{'entity_type': '"ORGANIZATION"', 'description': '"Puddings are a classic Christmas dessert, symbolizing warmth and indulgence during the holiday.""Puddings are a classic Christmas dessert, symbolizing warmth and indulgence during the holiday.""Puddings are a classic Christmas dessert, symbolizing warmth and indulgence during the holiday.""Puddings are a classic Christmas dessert, symbolizing warmth and indulgence during the holiday.""Puddings are showcased as a traditional dessert during Christmas celebrations, central to holiday meals.""Puddings are showcased as a traditional dessert during Christmas celebrations, central to holiday meals.""Puddings are showcased as a traditional dessert during Christmas celebrations, central to holiday meals.""Puddings are showcased as a traditional dessert during Christmas celebrations, central to holiday meals."', 'source_id': 'chunk-843b5b2f944c7413d9ca876e2e2f151fchunk-99b0ec7f7e006561352b5d65e849611d'} +2024-10-30 06:04:42,400 - lightrag - INFO - get_node:query:MATCH (n:`FRUIT`) RETURN n:result:"Fruit represents a staple part of the Christmas spread, emphasizing freshness and the joy of sharing.""Fruit represents a staple part of the Christmas spread, emphasizing freshness and the joy of sharing.""Fruit represents the fresh produce that accompanies holiday meals, bringing color and variety to the Christmas table.""Fruit represents the fresh produce that accompanies holiday meals, bringing color and variety to the Christmas table.""Fruit represents the fresh produce that accompanies holiday meals, bringing color and variety to the Christmas table."', 'source_id': 'chunk-99b0ec7f7e006561352b5d65e849611dchunk-843b5b2f944c7413d9ca876e2e2f151f'}> +2024-10-30 06:04:42,535 - lightrag - INFO - _do_upsert:query: + MERGE (n:`FRUIT`) + SET n += $properties + RETURN n + :result:{'entity_type': '"ORGANIZATION"', 'description': '"Fruit represents a staple part of the Christmas spread, emphasizing freshness and the joy of sharing.""Fruit represents a staple part of the Christmas spread, emphasizing freshness and the joy of sharing.""Fruit represents a staple part of the Christmas spread, emphasizing freshness and the joy of sharing.""Fruit represents a staple part of the Christmas spread, emphasizing freshness and the joy of sharing.""Fruit represents the fresh produce that accompanies holiday meals, bringing color and variety to the Christmas table.""Fruit represents the fresh produce that accompanies holiday meals, bringing color and variety to the Christmas table.""Fruit represents the fresh produce that accompanies holiday meals, bringing color and variety to the Christmas table.""Fruit represents the fresh produce that accompanies holiday meals, bringing color and variety to the Christmas table."', 'source_id': 'chunk-843b5b2f944c7413d9ca876e2e2f151fchunk-99b0ec7f7e006561352b5d65e849611d'} +2024-10-30 06:04:42,663 - lightrag - INFO - get_node:query:MATCH (n:`PUNCH`) RETURN n:result:"Punch is a festive beverage that is often served during Christmas celebrations, adding to the holiday spirit.""Punch is a festive beverage that is often served during Christmas celebrations, adding to the holiday spirit.""Punch refers to a festive drink that is often served at Christmas gatherings, contributing to the celebration.""Punch refers to a festive drink that is often served at Christmas gatherings, contributing to the celebration.""Punch refers to a festive drink that is often served at Christmas gatherings, contributing to the celebration."', 'source_id': 'chunk-99b0ec7f7e006561352b5d65e849611dchunk-843b5b2f944c7413d9ca876e2e2f151f'}> +2024-10-30 06:04:42,797 - lightrag - INFO - _do_upsert:query: + MERGE (n:`PUNCH`) + SET n += $properties + RETURN n + :result:{'entity_type': '"ORGANIZATION"', 'description': '"Punch is a festive beverage that is often served during Christmas celebrations, adding to the holiday spirit.""Punch is a festive beverage that is often served during Christmas celebrations, adding to the holiday spirit.""Punch is a festive beverage that is often served during Christmas celebrations, adding to the holiday spirit.""Punch is a festive beverage that is often served during Christmas celebrations, adding to the holiday spirit.""Punch refers to a festive drink that is often served at Christmas gatherings, contributing to the celebration.""Punch refers to a festive drink that is often served at Christmas gatherings, contributing to the celebration.""Punch refers to a festive drink that is often served at Christmas gatherings, contributing to the celebration.""Punch refers to a festive drink that is often served at Christmas gatherings, contributing to the celebration."', 'source_id': 'chunk-843b5b2f944c7413d9ca876e2e2f151fchunk-99b0ec7f7e006561352b5d65e849611d'} +2024-10-30 06:04:42,931 - lightrag - INFO - get_node:query:MATCH (n:`ANTIQUE SCABBARD`) RETURN n:result: +2024-10-30 06:04:43,065 - lightrag - INFO - _do_upsert:query: + MERGE (n:`ANTIQUE SCABBARD`) + SET n += $properties + RETURN n + :result:{'entity_type': '"ORGANIZATION"', 'description': '"The Antique Scabbard is a symbolic object seen on the Ghost, representing the notion of protection and history."', 'source_id': 'chunk-843b5b2f944c7413d9ca876e2e2f151f'} +2024-10-30 06:04:43,192 - lightrag - INFO - get_node:query:MATCH (n:`GREAT BRITAIN`) RETURN n:result:"Great Britain is a location mentioned as having chimneys that appear to be catching fire and is the setting for a gloomy climate during Christmas time.""Great Britain is a location mentioned as having chimneys that appear to be catching fire and is the setting for a gloomy climate during Christmas time.""Great Britain is referenced as a location suffering from severe weather, which contrasts with the cheerful activities of its people during Christmas."', 'source_id': 'chunk-99b0ec7f7e006561352b5d65e849611d'}> +2024-10-30 06:04:43,328 - lightrag - INFO - _do_upsert:query: + MERGE (n:`GREAT BRITAIN`) + SET n += $properties + RETURN n + :result:{'entity_type': '"GEO"', 'description': '"Great Britain is a location mentioned as having chimneys that appear to be catching fire and is the setting for a gloomy climate during Christmas time.""Great Britain is a location mentioned as having chimneys that appear to be catching fire and is the setting for a gloomy climate during Christmas time.""Great Britain is a location mentioned as having chimneys that appear to be catching fire and is the setting for a gloomy climate during Christmas time.""Great Britain is a location mentioned as having chimneys that appear to be catching fire and is the setting for a gloomy climate during Christmas time.""Great Britain is referenced as a location suffering from severe weather, which contrasts with the cheerful activities of its people during Christmas."', 'source_id': 'chunk-99b0ec7f7e006561352b5d65e849611d'} +2024-10-30 06:04:43,458 - lightrag - INFO - get_node:query:MATCH (n:`GROCERS'`) RETURN n:result: +2024-10-30 06:04:43,594 - lightrag - INFO - _do_upsert:query: + MERGE (n:`GROCERS'`) + SET n += $properties + RETURN n + :result:{'entity_type': '"ORGANIZATION"', 'description': '"Grocers\' is an organization described as nearly closed yet bustling with eager customers, showcasing a variety of goods typical for Christmas time."', 'source_id': 'chunk-99b0ec7f7e006561352b5d65e849611d'} +2024-10-30 06:04:43,722 - lightrag - INFO - get_node:query:MATCH (n:`PEOPLE`) RETURN n:result: +2024-10-30 06:04:43,857 - lightrag - INFO - _do_upsert:query: + MERGE (n:`PEOPLE`) + SET n += $properties + RETURN n + :result:{'entity_type': '"ORGANIZATION"', 'description': '"The People represent the community celebrating Christmas, exhibiting joy, humor, and eagerness amidst the dreary weather."', 'source_id': 'chunk-99b0ec7f7e006561352b5d65e849611d'} +2024-10-30 06:04:43,990 - lightrag - INFO - get_node:query:MATCH (n:`GEESE`) RETURN n:result:"Geese are also traditional food items that may be included in Christmas feasts, adding to the holiday cheer.""Geese are also traditional food items that may be included in Christmas feasts, adding to the holiday cheer.""Geese are another traditional food item during Christmas, contributing to the festive dining experiences.""Geese are included in the festive feast, representing the bounty and celebration associated with Christmas."', 'source_id': 'chunk-843b5b2f944c7413d9ca876e2e2f151fchunk-99b0ec7f7e006561352b5d65e849611d'}> +2024-10-30 06:04:44,126 - lightrag - INFO - _do_upsert:query: + MERGE (n:`GEESE`) + SET n += $properties + RETURN n + :result:{'entity_type': '"ORGANIZATION"', 'description': '"Geese are also traditional food items that may be included in Christmas feasts, adding to the holiday cheer.""Geese are also traditional food items that may be included in Christmas feasts, adding to the holiday cheer.""Geese are also traditional food items that may be included in Christmas feasts, adding to the holiday cheer.""Geese are also traditional food items that may be included in Christmas feasts, adding to the holiday cheer.""Geese are another traditional food item during Christmas, contributing to the festive dining experiences.""Geese are included in the festive feast, representing the bounty and celebration associated with Christmas."', 'source_id': 'chunk-843b5b2f944c7413d9ca876e2e2f151fchunk-99b0ec7f7e006561352b5d65e849611d'} +2024-10-30 06:04:44,255 - lightrag - INFO - get_node:query:MATCH (n:`BRAWN`) RETURN n:result:"Brawn refers to a traditional meat dish that may be part of Christmas festivities, highlighting culinary practices of the season.""Brawn refers to a traditional meat dish that may be part of Christmas festivities, highlighting culinary practices of the season.""Brawn refers to a traditional meat dish that may be part of Christmas festivities, highlighting culinary practices of the season."', 'source_id': 'chunk-843b5b2f944c7413d9ca876e2e2f151fchunk-99b0ec7f7e006561352b5d65e849611d'}> +2024-10-30 06:04:44,389 - lightrag - INFO - _do_upsert:query: + MERGE (n:`BRAWN`) + SET n += $properties + RETURN n + :result:{'entity_type': '"ORGANIZATION"', 'description': '"Brawn is a type of meat included in the festive gathering, representing the richness of the Christmas feast.""Brawn refers to a traditional meat dish that may be part of Christmas festivities, highlighting culinary practices of the season.""Brawn refers to a traditional meat dish that may be part of Christmas festivities, highlighting culinary practices of the season.""Brawn refers to a traditional meat dish that may be part of Christmas festivities, highlighting culinary practices of the season.""Brawn refers to a traditional meat dish that may be part of Christmas festivities, highlighting culinary practices of the season."', 'source_id': 'chunk-843b5b2f944c7413d9ca876e2e2f151fchunk-99b0ec7f7e006561352b5d65e849611d'} +2024-10-30 06:04:44,521 - lightrag - INFO - get_node:query:MATCH (n:`CITY STREETS`) RETURN n:result: +2024-10-30 06:04:44,656 - lightrag - INFO - _do_upsert:query: + MERGE (n:`CITY STREETS`) + SET n += $properties + RETURN n + :result:{'entity_type': '"GEO"', 'description': '"City Streets are referenced as the setting where people are celebrating and making music, contributing to the festive atmosphere of Christmas morning."', 'source_id': 'chunk-99b0ec7f7e006561352b5d65e849611d'} +2024-10-30 06:04:44,785 - lightrag - INFO - get_node:query:MATCH (n:`SNOW`) RETURN n:result: +2024-10-30 06:04:44,919 - lightrag - INFO - _do_upsert:query: + MERGE (n:`SNOW`) + SET n += $properties + RETURN n + :result:{'entity_type': '"GEO"', 'description': '"Snow is a significant element of the Christmas setting, emphasizing the winter atmosphere and contributing to the imagery of the holiday."', 'source_id': 'chunk-99b0ec7f7e006561352b5d65e849611d'} +2024-10-30 06:04:45,048 - lightrag - INFO - get_node:query:MATCH (n:`PARAPETS`) RETURN n:result: +2024-10-30 06:04:45,180 - lightrag - INFO - _do_upsert:query: + MERGE (n:`PARAPETS`) + SET n += $properties + RETURN n + :result:{'entity_type': '"GEO"', 'description': '"Parapets are structures that people use to engage in playful activities, such as throwing snowballs during Christmas celebrations."', 'source_id': 'chunk-99b0ec7f7e006561352b5d65e849611d'} +2024-10-30 06:04:45,310 - lightrag - INFO - get_node:query:MATCH (n:`SPIRIT OF CHRISTMAS PRESENT`) RETURN n:result: +2024-10-30 06:04:45,447 - lightrag - INFO - _do_upsert:query: + MERGE (n:`SPIRIT OF CHRISTMAS PRESENT`) + SET n += $properties + RETURN n + :result:{'entity_type': '"PERSON"', 'description': '"The Spirit of Christmas Present embodies the spirit of generosity and compassion, showing Scrooge scenes of joy and festivity among the poor."', 'source_id': 'chunk-b0f459f5af1c3a5e0b92cbe4ee48b77b'} +2024-10-30 06:04:45,577 - lightrag - INFO - get_node:query:MATCH (n:`PETER CRATCHIT`) RETURN n:result:"Peter Cratchit is a member of the Cratchit family who participates in expressing their unity and happiness.""Peter Cratchit is Bob\'s son, excited about his clothing and preparing a festive meal, symbolizing youthful innocence and hope.""Peter Cratchit is one of Bob Cratchit\'s children, involved in family dynamics and interactions surrounding Tiny Tim.""Peter Cratchit is one of the Cratchit children, shown to be active and enthusiastic during the Christmas celebration.""Peter Cratchit is the eldest son of Bob and Mrs. Cratchit, who is portrayed as contemplative about his future as he considers a potential job opportunity.""Peter Cratchit is Bob\'s son, excited about his clothing and preparing a festive meal, symbolizing youthful innocence and hope.""Peter Cratchit is one of Bob Cratchit\'s children, involved in family dynamics and interactions surrounding Tiny Tim.""Peter Cratchit is one of the Cratchit children, shown to be active and enthusiastic during the Christmas celebration.""Peter Cratchit is the eldest son of Bob and Mrs. Cratchit, who is portrayed as contemplative about his future as he considers a potential job opportunity.""Peter Cratchit is Bob\'s son, excited about his clothing and preparing a festive meal, symbolizing youthful innocence and hope.""Peter Cratchit is one of Bob Cratchit\'s children, involved in family dynamics and interactions surrounding Tiny Tim.""Peter Cratchit is one of the Cratchit children, shown to be active and enthusiastic during the Christmas celebration.""Peter Cratchit is the eldest son of Bob and Mrs. Cratchit, who is portrayed as contemplative about his future as he considers a potential job opportunity."', 'source_id': 'chunk-91572b3cd42786ba4cb2f180ca25cbf4chunk-b0f459f5af1c3a5e0b92cbe4ee48b77bchunk-7e2e7ebcc19a53b399dc03aded4743e7chunk-19d72c57ae3408758b18d2568e86dc6b'}> +2024-10-30 06:04:45,579 - lightrag - DEBUG - Trigger summary: "PETER CRATCHIT" +2024-10-30 06:04:45,678 - lightrag - INFO - get_node:query:MATCH (n:`THE CRATCHIT HOUSEHOLD`) RETURN n:result: +2024-10-30 06:04:45,811 - lightrag - INFO - _do_upsert:query: + MERGE (n:`THE CRATCHIT HOUSEHOLD`) + SET n += $properties + RETURN n + :result:{'entity_type': '"ORGANIZATION"', 'description': '"The Cratchit Household represents a loving family unit, managing to find joy despite their financial struggles."', 'source_id': 'chunk-b0f459f5af1c3a5e0b92cbe4ee48b77b'} +2024-10-30 06:04:45,940 - lightrag - INFO - get_node:query:MATCH (n:`CHRISTMAS DAY`) RETURN n:result:"Christmas Day is a significant holiday that marks the time of Scrooge\'s revelation and intent to change.""Christmas Day is celebrated by the Cratchit family with a communal meal and expressions of joy and togetherness, highlighting the importance of family and gratitude.""Christmas Day serves as the central event around which the family gathers and reflects on their feelings towards Scrooge.""Christmas Day is portrayed as a day of celebration and gathering, emphasizing themes of togetherness and generosity.""Christmas Day serves as a central event for the gathering of the Cratchit family, filled with mixed feelings about their employer, Scrooge.""Christmas Day serves as the backdrop for Scrooge\'s transformation, representing joy, celebration, and new beginnings.""Christmas Day is portrayed as a day of celebration and gathering, emphasizing themes of togetherness and generosity.""Christmas Day serves as a central event for the gathering of the Cratchit family, filled with mixed feelings about their employer, Scrooge.""Christmas Day serves as the backdrop for Scrooge\'s transformation, representing joy, celebration, and new beginnings.""Christmas Day is portrayed as a day of celebration and gathering, emphasizing themes of togetherness and generosity.""Christmas Day serves as a central event for the gathering of the Cratchit family, filled with mixed feelings about their employer, Scrooge.""Christmas Day serves as the backdrop for Scrooge\'s transformation, representing joy, celebration, and new beginnings."', 'source_id': 'chunk-90b95db5c53e4364a6bee36b7aa4d70fchunk-7e2e7ebcc19a53b399dc03aded4743e7chunk-b0f459f5af1c3a5e0b92cbe4ee48b77bchunk-19d72c57ae3408758b18d2568e86dc6b'}> +2024-10-30 06:04:46,074 - lightrag - INFO - _do_upsert:query: + MERGE (n:`CHRISTMAS DAY`) + SET n += $properties + RETURN n + :result:{'entity_type': '"EVENT"', 'description': '"Christmas Day is a holiday during which the characters express joy and the significance of communal dining.""Christmas Day is a significant holiday that marks the time of Scrooge\'s revelation and intent to change.""Christmas Day is celebrated by the Cratchit family with a communal meal and expressions of joy and togetherness, highlighting the importance of family and gratitude.""Christmas Day serves as the central event around which the family gathers and reflects on their feelings towards Scrooge.""Christmas Day is portrayed as a day of celebration and gathering, emphasizing themes of togetherness and generosity.""Christmas Day serves as a central event for the gathering of the Cratchit family, filled with mixed feelings about their employer, Scrooge.""Christmas Day serves as the backdrop for Scrooge\'s transformation, representing joy, celebration, and new beginnings.""Christmas Day is portrayed as a day of celebration and gathering, emphasizing themes of togetherness and generosity.""Christmas Day serves as a central event for the gathering of the Cratchit family, filled with mixed feelings about their employer, Scrooge.""Christmas Day serves as the backdrop for Scrooge\'s transformation, representing joy, celebration, and new beginnings.""Christmas Day is portrayed as a day of celebration and gathering, emphasizing themes of togetherness and generosity.""Christmas Day serves as a central event for the gathering of the Cratchit family, filled with mixed feelings about their employer, Scrooge.""Christmas Day serves as the backdrop for Scrooge\'s transformation, representing joy, celebration, and new beginnings.""Christmas Day is portrayed as a day of celebration and gathering, emphasizing themes of togetherness and generosity.""Christmas Day serves as a central event for the gathering of the Cratchit family, filled with mixed feelings about their employer, Scrooge.""Christmas Day serves as the backdrop for Scrooge\'s transformation, representing joy, celebration, and new beginnings."', 'source_id': 'chunk-7e2e7ebcc19a53b399dc03aded4743e7chunk-b0f459f5af1c3a5e0b92cbe4ee48b77bchunk-19d72c57ae3408758b18d2568e86dc6bchunk-90b95db5c53e4364a6bee36b7aa4d70f'} +2024-10-30 06:04:46,205 - lightrag - INFO - get_node:query:MATCH (n:`THE GROCER`) RETURN n:result: +2024-10-30 06:04:46,342 - lightrag - INFO - _do_upsert:query: + MERGE (n:`THE GROCER`) + SET n += $properties + RETURN n + :result:{'entity_type': '"PERSON"', 'description': '"The Grocer is depicted as a welcoming figure who interacts with customers in a friendly manner, symbolizing community spirit."', 'source_id': 'chunk-b0f459f5af1c3a5e0b92cbe4ee48b77b'} +2024-10-30 06:04:46,472 - lightrag - INFO - get_node:query:MATCH (n:`THE PEOPLE`) RETURN n:result:"The People refer to the townsfolk whom Scrooge encounters, showcasing the communal spirit of Christmas.""The People refer to the townsfolk whom Scrooge encounters, showcasing the communal spirit of Christmas.""The People refers to the inhabitants of the quarter, characterized by their desperate living conditions and societal challenges.""The People represent the townsfolk who come together in celebration during the Christmas season, highlighting communal joy and participation.""The People represent the various individuals Scrooge encounters during his joyful walk, symbolizing community and shared happiness.""The People refers to the inhabitants of the quarter, characterized by their desperate living conditions and societal challenges.""The People represent the townsfolk who come together in celebration during the Christmas season, highlighting communal joy and participation.""The People refers to the inhabitants of the quarter, characterized by their desperate living conditions and societal challenges.""The People represent the townsfolk who come together in celebration during the Christmas season, highlighting communal joy and participation."', 'source_id': 'chunk-f1a4fbcf1ed86864b9bfd5e8dba4c683chunk-8f738cb25d60a7dab782162d9d0a25edchunk-b0f459f5af1c3a5e0b92cbe4ee48b77b'}> +2024-10-30 06:04:46,607 - lightrag - INFO - _do_upsert:query: + MERGE (n:`THE PEOPLE`) + SET n += $properties + RETURN n + :result:{'entity_type': '"ORGANIZATION"', 'description': '"The People refer to the townsfolk whom Scrooge encounters, showcasing the communal spirit of Christmas.""The People refer to the townsfolk whom Scrooge encounters, showcasing the communal spirit of Christmas.""The People refer to the townsfolk whom Scrooge encounters, showcasing the communal spirit of Christmas.""The People refer to the townsfolk whom Scrooge encounters, showcasing the communal spirit of Christmas.""The People refers to the inhabitants of the quarter, characterized by their desperate living conditions and societal challenges.""The People represent the townsfolk who come together in celebration during the Christmas season, highlighting communal joy and participation.""The People represent the various individuals Scrooge encounters during his joyful walk, symbolizing community and shared happiness.""The People refers to the inhabitants of the quarter, characterized by their desperate living conditions and societal challenges.""The People represent the townsfolk who come together in celebration during the Christmas season, highlighting communal joy and participation.""The People refers to the inhabitants of the quarter, characterized by their desperate living conditions and societal challenges.""The People represent the townsfolk who come together in celebration during the Christmas season, highlighting communal joy and participation.""The People refers to the inhabitants of the quarter, characterized by their desperate living conditions and societal challenges.""The People represent the townsfolk who come together in celebration during the Christmas season, highlighting communal joy and participation."', 'source_id': 'chunk-f1a4fbcf1ed86864b9bfd5e8dba4c683chunk-b0f459f5af1c3a5e0b92cbe4ee48b77bchunk-8f738cb25d60a7dab782162d9d0a25ed'} +2024-10-30 06:04:46,739 - lightrag - INFO - get_node:query:MATCH (n:`THE SPIRIT'S TORCH`) RETURN n:result:"The Spirit\'s Torch is a unique tool used by the Spirit of Christmas Present to sprinkle blessings and create goodwill among people.""The Spirit\'s Torch is a unique tool used by the Spirit of Christmas Present to sprinkle blessings and create goodwill among people.""The Spirit\'s Torch symbolizes the joy and magic of the Christmas spirit, illuminating the family\'s happiness despite their hardships.""The Spirit\'s Torch symbolizes the joy and magic of the Christmas spirit, illuminating the family\'s happiness despite their hardships.""The Spirit\'s Torch symbolizes the joy and magic of the Christmas spirit, illuminating the family\'s happiness despite their hardships."', 'source_id': 'chunk-b0f459f5af1c3a5e0b92cbe4ee48b77bchunk-19d72c57ae3408758b18d2568e86dc6b'}> +2024-10-30 06:04:46,875 - lightrag - INFO - _do_upsert:query: + MERGE (n:`THE SPIRIT'S TORCH`) + SET n += $properties + RETURN n + :result:{'entity_type': '"TECHNOLOGY"', 'description': '"The Spirit\'s Torch is a unique tool used by the Spirit of Christmas Present to sprinkle blessings and create goodwill among people.""The Spirit\'s Torch is a unique tool used by the Spirit of Christmas Present to sprinkle blessings and create goodwill among people.""The Spirit\'s Torch is a unique tool used by the Spirit of Christmas Present to sprinkle blessings and create goodwill among people.""The Spirit\'s Torch is a unique tool used by the Spirit of Christmas Present to sprinkle blessings and create goodwill among people.""The Spirit\'s Torch symbolizes the joy and magic of the Christmas spirit, illuminating the family\'s happiness despite their hardships.""The Spirit\'s Torch symbolizes the joy and magic of the Christmas spirit, illuminating the family\'s happiness despite their hardships.""The Spirit\'s Torch symbolizes the joy and magic of the Christmas spirit, illuminating the family\'s happiness despite their hardships.""The Spirit\'s Torch symbolizes the joy and magic of the Christmas spirit, illuminating the family\'s happiness despite their hardships."', 'source_id': 'chunk-b0f459f5af1c3a5e0b92cbe4ee48b77bchunk-19d72c57ae3408758b18d2568e86dc6b'} +2024-10-30 06:04:47,006 - lightrag - INFO - get_node:query:MATCH (n:`THE BAKER'S SHOP`) RETURN n:result: +2024-10-30 06:04:47,139 - lightrag - INFO - _do_upsert:query: + MERGE (n:`THE BAKER'S SHOP`) + SET n += $properties + RETURN n + :result:{'entity_type': '"ORGANIZATION"', 'description': '"The Baker\'s Shop is a significant location where townspeople gather to procure their meals, indicating a hub of community activity."', 'source_id': 'chunk-b0f459f5af1c3a5e0b92cbe4ee48b77b'} +2024-10-30 06:04:47,267 - lightrag - INFO - get_node:query:MATCH (n:`DINNERS`) RETURN n:result:"Dinners refer to the meals shared by families on Christmas Day, representing the joy and nourishment that bring people together.""Dinners refer to the meals shared by families on Christmas Day, representing the joy and nourishment that bring people together.""Dinners represent the communal and familial gatherings that occur during Christmas, emphasized in the text as significant for enjoyment and sharing."', 'source_id': 'chunk-b0f459f5af1c3a5e0b92cbe4ee48b77b'}> +2024-10-30 06:04:47,402 - lightrag - INFO - _do_upsert:query: + MERGE (n:`DINNERS`) + SET n += $properties + RETURN n + :result:{'entity_type': '"EVENT"', 'description': '"Dinners refer to the meals shared by families on Christmas Day, representing the joy and nourishment that bring people together.""Dinners refer to the meals shared by families on Christmas Day, representing the joy and nourishment that bring people together.""Dinners refer to the meals shared by families on Christmas Day, representing the joy and nourishment that bring people together.""Dinners refer to the meals shared by families on Christmas Day, representing the joy and nourishment that bring people together.""Dinners represent the communal and familial gatherings that occur during Christmas, emphasized in the text as significant for enjoyment and sharing."', 'source_id': 'chunk-b0f459f5af1c3a5e0b92cbe4ee48b77b'} +2024-10-30 06:04:47,531 - lightrag - INFO - get_node:query:MATCH (n:`THE STREETS`) RETURN n:result: +2024-10-30 06:04:47,666 - lightrag - INFO - _do_upsert:query: + MERGE (n:`THE STREETS`) + SET n += $properties + RETURN n + :result:{'entity_type': '"GEO"', 'description': '"The Streets are the setting for the gatherings and interactions of townspeople during Christmas, showcasing the festive atmosphere."', 'source_id': 'chunk-b0f459f5af1c3a5e0b92cbe4ee48b77b'} +2024-10-30 06:04:47,797 - lightrag - INFO - get_node:query:MATCH (n:`THE SUBURBS`) RETURN n:result: +2024-10-30 06:04:47,932 - lightrag - INFO - _do_upsert:query: + MERGE (n:`THE SUBURBS`) + SET n += $properties + RETURN n + :result:{'entity_type': '"GEO"', 'description': '"The Suburbs are depicted as the area where the Spirit takes Scrooge to observe the lives of the less fortunate, emphasizing social issues."', 'source_id': 'chunk-b0f459f5af1c3a5e0b92cbe4ee48b77b'} +2024-10-30 06:04:48,065 - lightrag - INFO - get_node:query:MATCH (n:`THE NIGHT`) RETURN n:result: +2024-10-30 06:04:48,197 - lightrag - INFO - _do_upsert:query: + MERGE (n:`THE NIGHT`) + SET n += $properties + RETURN n + :result:{'entity_type': '"EVENT"', 'description': '"The Night, particularly Christmas Eve, is framed as a time for reflection and celebration as families prepare for the festivities."', 'source_id': 'chunk-b0f459f5af1c3a5e0b92cbe4ee48b77b'} +2024-10-30 06:04:48,329 - lightrag - INFO - get_node:query:MATCH (n:`CRATCHIT FAMILY`) RETURN n:result:"The Cratchit Family consists of Bob, Mrs. Cratchit, and their children, embodying themes of family unity and contentment despite hardships.""The Cratchit Family consists of Bob, Mrs. Cratchit, and their children, embodying themes of family unity and contentment despite hardships.""The Cratchit Family is a close-knit family characterized by love and togetherness, celebrating Christmas with simple but joyful traditions.""The Cratchit Family is portrayed as a close-knit group who, despite their hardships, find joy and gratitude during the Christmas gathering.""The Cratchit Family is portrayed as a loving unit celebrating Christmas together, with various members actively participating in the festivities.""The Cratchit family represents a unit bound by love and resilience in the face of adversity, dealing with emotional and financial struggles.""The Cratchit Family is depicted as a warm and loving household celebrating Christmas together, with various members actively participating in the festivities.""The Cratchit Family is depicted as a warm and loving household celebrating Christmas together, with various members actively participating in the festivities.""The Cratchit Family is depicted as a warm and loving household celebrating Christmas together, with various members actively participating in the festivities."', 'source_id': 'chunk-503f0bfa5453467c7c61d160a3540ecachunk-7e2e7ebcc19a53b399dc03aded4743e7chunk-19d72c57ae3408758b18d2568e86dc6bchunk-83ac129dc9b56f84c46760d153d68e93'}> +2024-10-30 06:04:48,465 - lightrag - INFO - _do_upsert:query: + MERGE (n:`CRATCHIT FAMILY`) + SET n += $properties + RETURN n + :result:{'entity_type': '"ORGANIZATION"', 'description': '"The Cratchit Family consists of Bob, Mrs. Cratchit, and their children, embodying themes of family unity and contentment despite hardships.""The Cratchit Family consists of Bob, Mrs. Cratchit, and their children, embodying themes of family unity and contentment despite hardships.""The Cratchit Family consists of Bob, Mrs. Cratchit, and their children, embodying themes of family unity and contentment despite hardships.""The Cratchit Family consists of Bob, Mrs. Cratchit, and their children, embodying themes of family unity and contentment despite hardships.""The Cratchit Family is a close-knit family characterized by love and togetherness, celebrating Christmas with simple but joyful traditions.""The Cratchit Family is portrayed as a close-knit group who, despite their hardships, find joy and gratitude during the Christmas gathering.""The Cratchit Family is portrayed as a loving unit celebrating Christmas together, with various members actively participating in the festivities.""The Cratchit family represents a unit bound by love and resilience in the face of adversity, dealing with emotional and financial struggles.""The Cratchit Family is depicted as a warm and loving household celebrating Christmas together, with various members actively participating in the festivities.""The Cratchit Family is depicted as a warm and loving household celebrating Christmas together, with various members actively participating in the festivities.""The Cratchit Family is depicted as a warm and loving household celebrating Christmas together, with various members actively participating in the festivities.""The Cratchit Family is depicted as a warm and loving household celebrating Christmas together, with various members actively participating in the festivities."', 'source_id': 'chunk-7e2e7ebcc19a53b399dc03aded4743e7chunk-19d72c57ae3408758b18d2568e86dc6bchunk-503f0bfa5453467c7c61d160a3540ecachunk-83ac129dc9b56f84c46760d153d68e93'} +2024-10-30 06:04:48,599 - lightrag - INFO - get_node:query:MATCH (n:`MARTHA`) RETURN n:result:"Martha is the daughter in the Cratchit family, who makes a dramatic entrance to surprise her family, highlighting the family\'s closeness.""Martha is the daughter in the Cratchit family, who makes a dramatic entrance to surprise her family, highlighting the family\'s closeness.""Martha is the daughter in the Cratchit family, who makes a dramatic entrance to surprise her family, highlighting the family\'s closeness."', 'source_id': 'chunk-7e2e7ebcc19a53b399dc03aded4743e7chunk-19d72c57ae3408758b18d2568e86dc6b'}> +2024-10-30 06:04:48,733 - lightrag - INFO - _do_upsert:query: + MERGE (n:`MARTHA`) + SET n += $properties + RETURN n + :result:{'entity_type': '"PERSON"', 'description': '"Martha is a poor apprentice at a milliner\'s and shares her experience with the family during their Christmas gathering, contributing to the family atmosphere.""Martha is the daughter in the Cratchit family, who makes a dramatic entrance to surprise her family, highlighting the family\'s closeness.""Martha is the daughter in the Cratchit family, who makes a dramatic entrance to surprise her family, highlighting the family\'s closeness.""Martha is the daughter in the Cratchit family, who makes a dramatic entrance to surprise her family, highlighting the family\'s closeness.""Martha is the daughter in the Cratchit family, who makes a dramatic entrance to surprise her family, highlighting the family\'s closeness."', 'source_id': 'chunk-7e2e7ebcc19a53b399dc03aded4743e7chunk-19d72c57ae3408758b18d2568e86dc6b'} +2024-10-30 06:04:48,866 - lightrag - INFO - get_node:query:MATCH (n:`CRATCHIT CHRISTMAS DINNER`) RETURN n:result: +2024-10-30 06:04:49,001 - lightrag - INFO - _do_upsert:query: + MERGE (n:`CRATCHIT CHRISTMAS DINNER`) + SET n += $properties + RETURN n + :result:{'entity_type': '"EVENT"', 'description': '"Cratchit Christmas Dinner is a festive occasion filled with joy, love, and togetherness as the family celebrates the holiday."', 'source_id': 'chunk-7e2e7ebcc19a53b399dc03aded4743e7'} +2024-10-30 06:04:49,130 - lightrag - INFO - get_node:query:MATCH (n:`THE GOOSE`) RETURN n:result:"The Goose is a central dish enjoyed by the Cratchit family during their Christmas dinner, symbolizing abundance and celebration.""The Goose is a central dish enjoyed by the Cratchit family during their Christmas dinner, symbolizing abundance and celebration.""The Goose is a central element of the Cratchit Christmas dinner, representing abundance and the joy of the holiday as the family eagerly anticipates its serving.""The Goose is a central part of the Cratchit family Christmas dinner, which they celebrate with excitement and anticipation, symbolizing abundance and joy.""The Goose is a central element of the Cratchit Christmas dinner, representing abundance and the joy of the holiday as the family eagerly anticipates its serving.""The Goose is a central element of the Cratchit Christmas dinner, representing abundance and the joy of the holiday as the family eagerly anticipates its serving."', 'source_id': 'chunk-503f0bfa5453467c7c61d160a3540ecachunk-7e2e7ebcc19a53b399dc03aded4743e7'}> +2024-10-30 06:04:49,262 - lightrag - INFO - _do_upsert:query: + MERGE (n:`THE GOOSE`) + SET n += $properties + RETURN n + :result:{'entity_type': '"EVENT"', 'description': '"The Goose is a central dish enjoyed by the Cratchit family during their Christmas dinner, symbolizing abundance and celebration.""The Goose is a central dish enjoyed by the Cratchit family during their Christmas dinner, symbolizing abundance and celebration.""The Goose is a central dish enjoyed by the Cratchit family during their Christmas dinner, symbolizing abundance and celebration.""The Goose is a central dish enjoyed by the Cratchit family during their Christmas dinner, symbolizing abundance and celebration.""The Goose is a central element of the Cratchit Christmas dinner, representing abundance and the joy of the holiday as the family eagerly anticipates its serving.""The Goose is a central part of the Cratchit family Christmas dinner, which they celebrate with excitement and anticipation, symbolizing abundance and joy.""The Goose is a central element of the Cratchit Christmas dinner, representing abundance and the joy of the holiday as the family eagerly anticipates its serving.""The Goose is a central element of the Cratchit Christmas dinner, representing abundance and the joy of the holiday as the family eagerly anticipates its serving.""The Goose is a central element of the Cratchit Christmas dinner, representing abundance and the joy of the holiday as the family eagerly anticipates its serving."', 'source_id': 'chunk-7e2e7ebcc19a53b399dc03aded4743e7chunk-503f0bfa5453467c7c61d160a3540eca'} +2024-10-30 06:04:49,391 - lightrag - INFO - get_node:query:MATCH (n:`THE YOUNG CRATCHITS`) RETURN n:result: +2024-10-30 06:04:49,526 - lightrag - INFO - _do_upsert:query: + MERGE (n:`THE YOUNG CRATCHITS`) + SET n += $properties + RETURN n + :result:{'entity_type': '"ORGANIZATION"', 'description': '"The Young Cratchits are the children in the Cratchit family who contribute to the lively atmosphere, expressing excitement and involvement in the Christmas celebrations."', 'source_id': 'chunk-7e2e7ebcc19a53b399dc03aded4743e7'} +2024-10-30 06:04:49,655 - lightrag - INFO - get_node:query:MATCH (n:`THE PUDDING`) RETURN n:result:"The Pudding is a special dessert made by Mrs. Cratchit, described as hard and firm, and is a source of pride and excitement for the family.""The Pudding is a special dessert made by Mrs. Cratchit, described as hard and firm, and is a source of pride and excitement for the family.""The Pudding is a traditional dish prepared for Christmas, symbolizing festivity and the warmth of family gatherings.""The Pudding is a traditional dish served at the Cratchit Christmas dinner, symbolizing festive joy and family gatherings.""The Pudding is a traditional dish served at the Cratchit Christmas dinner, symbolizing festive joy and family gatherings.""The Pudding is a traditional dish served at the Cratchit Christmas dinner, symbolizing festive joy and family gatherings."', 'source_id': 'chunk-503f0bfa5453467c7c61d160a3540ecachunk-7e2e7ebcc19a53b399dc03aded4743e7chunk-90d5764e301321c087f5a8f78b73a145'}> +2024-10-30 06:04:49,789 - lightrag - INFO - _do_upsert:query: + MERGE (n:`THE PUDDING`) + SET n += $properties + RETURN n + :result:{'entity_type': '"EVENT"', 'description': '"The Pudding is a special dessert made by Mrs. Cratchit, described as hard and firm, and is a source of pride and excitement for the family.""The Pudding is a special dessert made by Mrs. Cratchit, described as hard and firm, and is a source of pride and excitement for the family.""The Pudding is a special dessert made by Mrs. Cratchit, described as hard and firm, and is a source of pride and excitement for the family.""The Pudding is a special dessert made by Mrs. Cratchit, described as hard and firm, and is a source of pride and excitement for the family.""The Pudding is a traditional dish prepared for Christmas, symbolizing festivity and the warmth of family gatherings.""The Pudding is a traditional dish served at the Cratchit Christmas dinner, symbolizing festive joy and family gatherings.""The Pudding is a traditional dish served at the Cratchit Christmas dinner, symbolizing festive joy and family gatherings.""The Pudding is a traditional dish served at the Cratchit Christmas dinner, symbolizing festive joy and family gatherings.""The Pudding is a traditional dish served at the Cratchit Christmas dinner, symbolizing festive joy and family gatherings."', 'source_id': 'chunk-7e2e7ebcc19a53b399dc03aded4743e7chunk-90d5764e301321c087f5a8f78b73a145chunk-503f0bfa5453467c7c61d160a3540eca'} +2024-10-30 06:04:49,924 - lightrag - INFO - get_node:query:MATCH (n:`THE FIRE`) RETURN n:result:"The Fire represents warmth and comfort in the Cratchit household, inviting family members to gather around during their Christmas celebration.""The Fire represents warmth and comfort in the Cratchit household, inviting family members to gather around during their Christmas celebration.""The Fire represents warmth and comfort in the Cratchit household, inviting family members to gather around during their Christmas celebration."', 'source_id': 'chunk-7e2e7ebcc19a53b399dc03aded4743e7chunk-773d0df1dd25c356f7b771d780583e09'}> +2024-10-30 06:04:50,058 - lightrag - INFO - _do_upsert:query: + MERGE (n:`THE FIRE`) + SET n += $properties + RETURN n + :result:{'entity_type': '"EVENT"', 'description': '"The Fire represents warmth and comfort during the family gathering, enhancing the atmosphere of camaraderie.""The Fire represents warmth and comfort in the Cratchit household, inviting family members to gather around during their Christmas celebration.""The Fire represents warmth and comfort in the Cratchit household, inviting family members to gather around during their Christmas celebration.""The Fire represents warmth and comfort in the Cratchit household, inviting family members to gather around during their Christmas celebration.""The Fire represents warmth and comfort in the Cratchit household, inviting family members to gather around during their Christmas celebration."', 'source_id': 'chunk-7e2e7ebcc19a53b399dc03aded4743e7chunk-773d0df1dd25c356f7b771d780583e09'} +2024-10-30 06:04:50,192 - lightrag - INFO - get_node:query:MATCH (n:`THE DINNER`) RETURN n:result:"The Dinner is a festive event where the Cratchit family gathers to enjoy a meal, including a special goose and pudding, symbolizing their togetherness.""The Dinner is a festive event where the Cratchit family gathers to enjoy a meal, including a special goose and pudding, symbolizing their togetherness.""The Dinner is a social event characterized by laughter, music, and discussions about Scrooge, portraying a festive Christmas gathering."', 'source_id': 'chunk-503f0bfa5453467c7c61d160a3540ecachunk-773d0df1dd25c356f7b771d780583e09'}> +2024-10-30 06:04:50,328 - lightrag - INFO - _do_upsert:query: + MERGE (n:`THE DINNER`) + SET n += $properties + RETURN n + :result:{'entity_type': '"EVENT"', 'description': '"The Dinner is a festive event where the Cratchit family gathers to enjoy a meal, including a special goose and pudding, symbolizing their togetherness.""The Dinner is a festive event where the Cratchit family gathers to enjoy a meal, including a special goose and pudding, symbolizing their togetherness.""The Dinner is a festive event where the Cratchit family gathers to enjoy a meal, including a special goose and pudding, symbolizing their togetherness.""The Dinner is a festive event where the Cratchit family gathers to enjoy a meal, including a special goose and pudding, symbolizing their togetherness.""The Dinner is a social event characterized by laughter, music, and discussions about Scrooge, portraying a festive Christmas gathering."', 'source_id': 'chunk-503f0bfa5453467c7c61d160a3540ecachunk-773d0df1dd25c356f7b771d780583e09'} +2024-10-30 06:04:50,461 - lightrag - INFO - get_node:query:MATCH (n:`MISS BELINDA`) RETURN n:result: +2024-10-30 06:04:50,594 - lightrag - INFO - _do_upsert:query: + MERGE (n:`MISS BELINDA`) + SET n += $properties + RETURN n + :result:{'entity_type': '"PERSON"', 'description': '"Miss Belinda is a member of the Cratchit family who assists in the dinner preparations, specifically changing the plates."', 'source_id': 'chunk-503f0bfa5453467c7c61d160a3540eca'} +2024-10-30 06:04:50,723 - lightrag - INFO - get_node:query:MATCH (n:`THE FOUNDER OF THE FEAST`) RETURN n:result: +2024-10-30 06:04:50,857 - lightrag - INFO - _do_upsert:query: + MERGE (n:`THE FOUNDER OF THE FEAST`) + SET n += $properties + RETURN n + :result:{'entity_type': '"TITLE"', 'description': '"The Founder of the Feast refers to Scrooge, whom Bob Cratchit acknowledges during the Christmas dinner, signifying gratitude toward Scrooge\'s provision for the meal."', 'source_id': 'chunk-503f0bfa5453467c7c61d160a3540eca'} +2024-10-30 06:04:50,986 - lightrag - INFO - get_node:query:MATCH (n:`THE COUNTESS`) RETURN n:result:"The Countess is mentioned by Martha, indicating an encounter that highlights the social stratification and aspirations of the Cratchit family.""The Countess is mentioned by Martha, indicating an encounter that highlights the social stratification and aspirations of the Cratchit family.""The Countess is referenced by Martha, showcasing her interaction with figures of higher social status, contrasting with the Cratchit family\'s situation."', 'source_id': 'chunk-19d72c57ae3408758b18d2568e86dc6b'}> +2024-10-30 06:04:51,123 - lightrag - INFO - _do_upsert:query: + MERGE (n:`THE COUNTESS`) + SET n += $properties + RETURN n + :result:{'entity_type': '"PERSON"', 'description': '"The Countess is mentioned by Martha, indicating an encounter that highlights the social stratification and aspirations of the Cratchit family.""The Countess is mentioned by Martha, indicating an encounter that highlights the social stratification and aspirations of the Cratchit family.""The Countess is mentioned by Martha, indicating an encounter that highlights the social stratification and aspirations of the Cratchit family.""The Countess is mentioned by Martha, indicating an encounter that highlights the social stratification and aspirations of the Cratchit family.""The Countess is referenced by Martha, showcasing her interaction with figures of higher social status, contrasting with the Cratchit family\'s situation."', 'source_id': 'chunk-19d72c57ae3408758b18d2568e86dc6b'} +2024-10-30 06:04:51,253 - lightrag - INFO - get_node:query:MATCH (n:`THE LORD`) RETURN n:result:"The Lord is referenced in Martha\'s account of her work, underscoring the contrast between the Cratchit family\'s modest means and the nobility.""The Lord is referenced in Martha\'s account of her work, underscoring the contrast between the Cratchit family\'s modest means and the nobility.""The Lord is referenced in Martha\'s account of her work, underscoring the contrast between the Cratchit family\'s modest means and the nobility."', 'source_id': 'chunk-19d72c57ae3408758b18d2568e86dc6b'}> +2024-10-30 06:04:51,388 - lightrag - INFO - _do_upsert:query: + MERGE (n:`THE LORD`) + SET n += $properties + RETURN n + :result:{'entity_type': '"PERSON"', 'description': '"The Lord is mentioned by Martha as someone she encountered, illustrating her experiences outside her family\'s struggles.""The Lord is referenced in Martha\'s account of her work, underscoring the contrast between the Cratchit family\'s modest means and the nobility.""The Lord is referenced in Martha\'s account of her work, underscoring the contrast between the Cratchit family\'s modest means and the nobility.""The Lord is referenced in Martha\'s account of her work, underscoring the contrast between the Cratchit family\'s modest means and the nobility.""The Lord is referenced in Martha\'s account of her work, underscoring the contrast between the Cratchit family\'s modest means and the nobility."', 'source_id': 'chunk-19d72c57ae3408758b18d2568e86dc6b'} +2024-10-30 06:04:51,521 - lightrag - INFO - get_node:query:MATCH (n:`THE GATHERING`) RETURN n:result: +2024-10-30 06:04:51,653 - lightrag - INFO - _do_upsert:query: + MERGE (n:`THE GATHERING`) + SET n += $properties + RETURN n + :result:{'entity_type': '"EVENT"', 'description': '"The Gathering refers to the collective event of the family coming together to celebrate Christmas, filled with warmth and camaraderie despite their struggles."', 'source_id': 'chunk-19d72c57ae3408758b18d2568e86dc6b'} +2024-10-30 06:04:51,788 - lightrag - INFO - get_node:query:MATCH (n:`THE LIGHTHOUSE`) RETURN n:result:"The Lighthouse serves as a solitary structure representing hope and guidance amid a stormy sea, populated by individuals celebrating Christmas.""The Lighthouse serves as a solitary structure representing hope and guidance amid a stormy sea, populated by individuals celebrating Christmas.""The Lighthouse serves as a solitary structure representing hope and guidance amid a stormy sea, populated by individuals celebrating Christmas."', 'source_id': 'chunk-91614df5cb74cbe5e109a338a82041e9'}> +2024-10-30 06:04:51,925 - lightrag - INFO - _do_upsert:query: + MERGE (n:`THE LIGHTHOUSE`) + SET n += $properties + RETURN n + :result:{'entity_type': '"GEO"', 'description': '"The Lighthouse is a solitary structure standing on a reef, symbolizing hope and guidance amidst the tumultuous sea.""The Lighthouse serves as a solitary structure representing hope and guidance amid a stormy sea, populated by individuals celebrating Christmas.""The Lighthouse serves as a solitary structure representing hope and guidance amid a stormy sea, populated by individuals celebrating Christmas.""The Lighthouse serves as a solitary structure representing hope and guidance amid a stormy sea, populated by individuals celebrating Christmas.""The Lighthouse serves as a solitary structure representing hope and guidance amid a stormy sea, populated by individuals celebrating Christmas."', 'source_id': 'chunk-91614df5cb74cbe5e109a338a82041e9'} +2024-10-30 06:04:52,060 - lightrag - INFO - get_node:query:MATCH (n:`THE SHIP`) RETURN n:result:"The Ship is a vessel where the crew shares moments of kindness and reflection during Christmas, symbolizing unity and camaraderie.""The Ship is a vessel where the crew shares moments of kindness and reflection during Christmas, symbolizing unity and camaraderie.""The Ship is described as a vessel on the open sea, where the crew reflects on Christmas, showcasing camaraderie and a sense of belonging."', 'source_id': 'chunk-91614df5cb74cbe5e109a338a82041e9'}> +2024-10-30 06:04:52,193 - lightrag - INFO - _do_upsert:query: + MERGE (n:`THE SHIP`) + SET n += $properties + RETURN n + :result:{'entity_type': '"GEO"', 'description': '"The Ship is a vessel where the crew shares moments of kindness and reflection during Christmas, symbolizing unity and camaraderie.""The Ship is a vessel where the crew shares moments of kindness and reflection during Christmas, symbolizing unity and camaraderie.""The Ship is a vessel where the crew shares moments of kindness and reflection during Christmas, symbolizing unity and camaraderie.""The Ship is a vessel where the crew shares moments of kindness and reflection during Christmas, symbolizing unity and camaraderie.""The Ship is described as a vessel on the open sea, where the crew reflects on Christmas, showcasing camaraderie and a sense of belonging."', 'source_id': 'chunk-91614df5cb74cbe5e109a338a82041e9'} +2024-10-30 06:04:52,321 - lightrag - INFO - get_node:query:MATCH (n:`THE LAMPLIGHTER`) RETURN n:result:"The Lamplighter is a character who brings light to the street, symbolizing hope and joy as he dotting the dusky street with specks of light.""The Lamplighter is a character who brings light to the street, symbolizing hope and joy as he dotting the dusky street with specks of light.""The Lamplighter is a character who fills the street with light, representing the warmth and joy of the holiday season."', 'source_id': 'chunk-91614df5cb74cbe5e109a338a82041e9'}> +2024-10-30 06:04:52,455 - lightrag - INFO - _do_upsert:query: + MERGE (n:`THE LAMPLIGHTER`) + SET n += $properties + RETURN n + :result:{'entity_type': '"PERSON"', 'description': '"The Lamplighter is a character who brings light to the street, symbolizing hope and joy as he dotting the dusky street with specks of light.""The Lamplighter is a character who brings light to the street, symbolizing hope and joy as he dotting the dusky street with specks of light.""The Lamplighter is a character who brings light to the street, symbolizing hope and joy as he dotting the dusky street with specks of light.""The Lamplighter is a character who brings light to the street, symbolizing hope and joy as he dotting the dusky street with specks of light.""The Lamplighter is a character who fills the street with light, representing the warmth and joy of the holiday season."', 'source_id': 'chunk-91614df5cb74cbe5e109a338a82041e9'} +2024-10-30 06:04:52,583 - lightrag - INFO - get_node:query:MATCH (n:`THE MOOR`) RETURN n:result: +2024-10-30 06:04:52,718 - lightrag - INFO - _do_upsert:query: + MERGE (n:`THE MOOR`) + SET n += $properties + RETURN n + :result:{'entity_type': '"GEO"', 'description': '"The Moor is depicted as a bleak and desolate landscape, symbolizing the harsh conditions where miners live."', 'source_id': 'chunk-91614df5cb74cbe5e109a338a82041e9'} +2024-10-30 06:04:52,850 - lightrag - INFO - get_node:query:MATCH (n:`THE OLD MAN`) RETURN n:result:"The Old Man is a character who sings a Christmas song, providing a sense of tradition and warmth amidst the desolate environment.""The Old Man is a character who sings a Christmas song, providing a sense of tradition and warmth amidst the desolate environment.""The Old Man is portrayed as a figure of light and joy among his family, singing a Christmas song that connects generations."', 'source_id': 'chunk-91614df5cb74cbe5e109a338a82041e9'}> +2024-10-30 06:04:52,984 - lightrag - INFO - _do_upsert:query: + MERGE (n:`THE OLD MAN`) + SET n += $properties + RETURN n + :result:{'entity_type': '"PERSON"', 'description': '"The Old Man is a character who sings a Christmas song, providing a sense of tradition and warmth amidst the desolate environment.""The Old Man is a character who sings a Christmas song, providing a sense of tradition and warmth amidst the desolate environment.""The Old Man is a character who sings a Christmas song, providing a sense of tradition and warmth amidst the desolate environment.""The Old Man is a character who sings a Christmas song, providing a sense of tradition and warmth amidst the desolate environment.""The Old Man is portrayed as a figure of light and joy among his family, singing a Christmas song that connects generations."', 'source_id': 'chunk-91614df5cb74cbe5e109a338a82041e9'} +2024-10-30 06:04:53,116 - lightrag - INFO - get_node:query:MATCH (n:`THE HUT`) RETURN n:result:"The Hut is a place where miners and their families gather to celebrate Christmas, representing warmth and community.""The Hut is a place where miners and their families gather to celebrate Christmas, representing warmth and community.""The Hut is a shelter for the miners that provides warmth and a gathering space for family during the winter, serving as a symbol of refuge."', 'source_id': 'chunk-91614df5cb74cbe5e109a338a82041e9'}> +2024-10-30 06:04:53,251 - lightrag - INFO - _do_upsert:query: + MERGE (n:`THE HUT`) + SET n += $properties + RETURN n + :result:{'entity_type': '"GEO"', 'description': '"The Hut is a place where miners and their families gather to celebrate Christmas, representing warmth and community.""The Hut is a place where miners and their families gather to celebrate Christmas, representing warmth and community.""The Hut is a place where miners and their families gather to celebrate Christmas, representing warmth and community.""The Hut is a place where miners and their families gather to celebrate Christmas, representing warmth and community.""The Hut is a shelter for the miners that provides warmth and a gathering space for family during the winter, serving as a symbol of refuge."', 'source_id': 'chunk-91614df5cb74cbe5e109a338a82041e9'} +2024-10-30 06:04:53,379 - lightrag - INFO - get_node:query:MATCH (n:`THE MINERS`) RETURN n:result:"The Miners are individuals who labor in the moor, showcasing their resilience and connection to Christmas despite their harsh living conditions.""The Miners are individuals who labor in the moor, showcasing their resilience and connection to Christmas despite their harsh living conditions.""The Miners refer to a group of laborers living in a bleak landscape, embodying the struggles and resilience of working-class life."', 'source_id': 'chunk-91614df5cb74cbe5e109a338a82041e9'}> +2024-10-30 06:04:53,513 - lightrag - INFO - _do_upsert:query: + MERGE (n:`THE MINERS`) + SET n += $properties + RETURN n + :result:{'entity_type': '"ORGANIZATION"', 'description': '"The Miners are individuals who labor in the moor, showcasing their resilience and connection to Christmas despite their harsh living conditions.""The Miners are individuals who labor in the moor, showcasing their resilience and connection to Christmas despite their harsh living conditions.""The Miners are individuals who labor in the moor, showcasing their resilience and connection to Christmas despite their harsh living conditions.""The Miners are individuals who labor in the moor, showcasing their resilience and connection to Christmas despite their harsh living conditions.""The Miners refer to a group of laborers living in a bleak landscape, embodying the struggles and resilience of working-class life."', 'source_id': 'chunk-91614df5cb74cbe5e109a338a82041e9'} +2024-10-30 06:04:53,647 - lightrag - INFO - get_node:query:MATCH (n:`THE OFFICERS`) RETURN n:result: +2024-10-30 06:04:53,780 - lightrag - INFO - _do_upsert:query: + MERGE (n:`THE OFFICERS`) + SET n += $properties + RETURN n + :result:{'entity_type': '"ORGANIZATION"', 'description': '"The Officers are dark, ghostly figures aboard the ship, participating in the shared camaraderie of the Christmas spirit."', 'source_id': 'chunk-91614df5cb74cbe5e109a338a82041e9'} +2024-10-30 06:04:53,911 - lightrag - INFO - get_node:query:MATCH (n:`THE WAVE`) RETURN n:result: +2024-10-30 06:04:54,050 - lightrag - INFO - _do_upsert:query: + MERGE (n:`THE WAVE`) + SET n += $properties + RETURN n + :result:{'entity_type': '"GEO"', 'description': '"The Wave is described as thundering and raging, representing the overwhelming natural forces present in the sea setting."', 'source_id': 'chunk-91614df5cb74cbe5e109a338a82041e9'} +2024-10-30 06:04:54,178 - lightrag - INFO - get_node:query:MATCH (n:`STORM-BIRDS`) RETURN n:result:"Storm-Birds are creatures associated with the wild sea, symbolizing the untamed nature of the environment around the lighthouse.""Storm-Birds are creatures associated with the wild sea, symbolizing the untamed nature of the environment around the lighthouse.""Storm-Birds are depicted as creatures that rise and fall with the waves, symbolizing the harshness of the environment and the connection to the sea."', 'source_id': 'chunk-91614df5cb74cbe5e109a338a82041e9'}> +2024-10-30 06:04:54,314 - lightrag - INFO - _do_upsert:query: + MERGE (n:`STORM-BIRDS`) + SET n += $properties + RETURN n + :result:{'entity_type': '"GEO"', 'description': '"Storm-Birds are creatures associated with the wild sea, symbolizing the untamed nature of the environment around the lighthouse.""Storm-Birds are creatures associated with the wild sea, symbolizing the untamed nature of the environment around the lighthouse.""Storm-Birds are creatures associated with the wild sea, symbolizing the untamed nature of the environment around the lighthouse.""Storm-Birds are creatures associated with the wild sea, symbolizing the untamed nature of the environment around the lighthouse.""Storm-Birds are depicted as creatures that rise and fall with the waves, symbolizing the harshness of the environment and the connection to the sea."', 'source_id': 'chunk-91614df5cb74cbe5e109a338a82041e9'} +2024-10-30 06:04:54,443 - lightrag - INFO - get_node:query:MATCH (n:`SCROOGE'S NIECE`) RETURN n:result:"Scrooge\'s Niece is a lively character who expresses indignation towards Scrooge\'s disdain for Christmas and embodies warmth and charm, showing affection and concern for family.""Scrooge\'s Niece is a lively character who expresses indignation towards Scrooge\'s disdain for Christmas and embodies warmth and charm, showing affection and concern for family.""Scrooge\'s Niece is depicted as a beautiful and lively character who expresses strong opinions about her uncle Scrooge.""Scrooge\'s niece is depicted as a joyful participant in the evening\'s festivities, engaging in games and music.""Scrooge\'s niece is a central figure in the family gathering, enjoying the festivities and games, showing a loving and vibrant personality.""Scrooge\'s niece is a central figure in the family gathering, enjoying the festivities and games, showing a loving and vibrant personality.""Scrooge\'s niece is a central figure in the family gathering, enjoying the festivities and games, showing a loving and vibrant personality."', 'source_id': 'chunk-43c9bee23adfa77aa9dedd22401bba7dchunk-773d0df1dd25c356f7b771d780583e09'}> +2024-10-30 06:04:54,577 - lightrag - INFO - _do_upsert:query: + MERGE (n:`SCROOGE'S NIECE`) + SET n += $properties + RETURN n + :result:{'entity_type': '"PERSON"', 'description': '"Scrooge\'s Niece is a lively character who expresses indignation towards Scrooge\'s disdain for Christmas and embodies warmth and charm, showing affection and concern for family.""Scrooge\'s Niece is a lively character who expresses indignation towards Scrooge\'s disdain for Christmas and embodies warmth and charm, showing affection and concern for family.""Scrooge\'s Niece is a lively character who expresses indignation towards Scrooge\'s disdain for Christmas and embodies warmth and charm, showing affection and concern for family.""Scrooge\'s Niece is a lively character who expresses indignation towards Scrooge\'s disdain for Christmas and embodies warmth and charm, showing affection and concern for family.""Scrooge\'s Niece is depicted as a beautiful and lively character who expresses strong opinions about her uncle Scrooge.""Scrooge\'s niece is depicted as a joyful participant in the evening\'s festivities, engaging in games and music.""Scrooge\'s niece is a central figure in the family gathering, enjoying the festivities and games, showing a loving and vibrant personality.""Scrooge\'s niece is a central figure in the family gathering, enjoying the festivities and games, showing a loving and vibrant personality.""Scrooge\'s niece is a central figure in the family gathering, enjoying the festivities and games, showing a loving and vibrant personality.""Scrooge\'s niece is a central figure in the family gathering, enjoying the festivities and games, showing a loving and vibrant personality."', 'source_id': 'chunk-43c9bee23adfa77aa9dedd22401bba7dchunk-773d0df1dd25c356f7b771d780583e09'} +2024-10-30 06:04:54,708 - lightrag - INFO - get_node:query:MATCH (n:`TOPPER`) RETURN n:result:"Topper is a character who participates in the dinner and seems to have an interest in one of Scrooge\'s niece\'s sisters.""Topper is a guest at the Christmas party, representing the jovial and festive spirit of the gathering with Fred and Scrooge.""Topper is a jovial character who participates in games and is known for his playful and somewhat roguish behavior during the festivities.""Topper is a member of Scrooge\'s Niece\'s social group, characterized by his playful manner and romantic interests, notably towards one of Scrooge\'s Niece\'s sisters.""Topper is one of Fred\'s friends who attends the Christmas gathering, contributing to the joyful atmosphere of the celebration.""Topper is a jovial character who participates in games and is known for his playful and somewhat roguish behavior during the festivities.""Topper is a member of Scrooge\'s Niece\'s social group, characterized by his playful manner and romantic interests, notably towards one of Scrooge\'s Niece\'s sisters.""Topper is one of Fred\'s friends who attends the Christmas gathering, contributing to the joyful atmosphere of the celebration.""Topper is a jovial character who participates in games and is known for his playful and somewhat roguish behavior during the festivities.""Topper is a member of Scrooge\'s Niece\'s social group, characterized by his playful manner and romantic interests, notably towards one of Scrooge\'s Niece\'s sisters.""Topper is one of Fred\'s friends who attends the Christmas gathering, contributing to the joyful atmosphere of the celebration."', 'source_id': 'chunk-43c9bee23adfa77aa9dedd22401bba7dchunk-94bea83e7153fc2064aa382b494936a1chunk-773d0df1dd25c356f7b771d780583e09'}> +2024-10-30 06:04:54,846 - lightrag - INFO - _do_upsert:query: + MERGE (n:`TOPPER`) + SET n += $properties + RETURN n + :result:{'entity_type': '"PERSON"', 'description': '"Topper is a character known for his lively and mischievous behavior during the games at the festive gathering.""Topper is a character who participates in the dinner and seems to have an interest in one of Scrooge\'s niece\'s sisters.""Topper is a guest at the Christmas party, representing the jovial and festive spirit of the gathering with Fred and Scrooge.""Topper is a jovial character who participates in games and is known for his playful and somewhat roguish behavior during the festivities.""Topper is a member of Scrooge\'s Niece\'s social group, characterized by his playful manner and romantic interests, notably towards one of Scrooge\'s Niece\'s sisters.""Topper is one of Fred\'s friends who attends the Christmas gathering, contributing to the joyful atmosphere of the celebration.""Topper is a jovial character who participates in games and is known for his playful and somewhat roguish behavior during the festivities.""Topper is a member of Scrooge\'s Niece\'s social group, characterized by his playful manner and romantic interests, notably towards one of Scrooge\'s Niece\'s sisters.""Topper is one of Fred\'s friends who attends the Christmas gathering, contributing to the joyful atmosphere of the celebration.""Topper is a jovial character who participates in games and is known for his playful and somewhat roguish behavior during the festivities.""Topper is a member of Scrooge\'s Niece\'s social group, characterized by his playful manner and romantic interests, notably towards one of Scrooge\'s Niece\'s sisters.""Topper is one of Fred\'s friends who attends the Christmas gathering, contributing to the joyful atmosphere of the celebration.""Topper is a jovial character who participates in games and is known for his playful and somewhat roguish behavior during the festivities.""Topper is a member of Scrooge\'s Niece\'s social group, characterized by his playful manner and romantic interests, notably towards one of Scrooge\'s Niece\'s sisters.""Topper is one of Fred\'s friends who attends the Christmas gathering, contributing to the joyful atmosphere of the celebration."', 'source_id': 'chunk-43c9bee23adfa77aa9dedd22401bba7dchunk-94bea83e7153fc2064aa382b494936a1chunk-773d0df1dd25c356f7b771d780583e09'} +2024-10-30 06:04:54,979 - lightrag - INFO - get_node:query:MATCH (n:`SCROOGE'S NIECE'S SISTERS`) RETURN n:result:"Scrooge\'s Niece\'s Sisters are a part of the family gathering, expressing their opinions and adding to the lively atmosphere with their laughter and good humor.""Scrooge\'s Niece\'s Sisters are a part of the family gathering, expressing their opinions and adding to the lively atmosphere with their laughter and good humor.""Scrooge\'s Niece\'s Sisters are part of the family gathering, contributing to the lively atmosphere and expressing opinions about Scrooge."', 'source_id': 'chunk-773d0df1dd25c356f7b771d780583e09'}> +2024-10-30 06:04:55,113 - lightrag - INFO - _do_upsert:query: + MERGE (n:`SCROOGE'S NIECE'S SISTERS`) + SET n += $properties + RETURN n + :result:{'entity_type': '"PERSON"', 'description': '"Scrooge\'s Niece\'s Sisters are a part of the family gathering, expressing their opinions and adding to the lively atmosphere with their laughter and good humor.""Scrooge\'s Niece\'s Sisters are a part of the family gathering, expressing their opinions and adding to the lively atmosphere with their laughter and good humor.""Scrooge\'s Niece\'s Sisters are a part of the family gathering, expressing their opinions and adding to the lively atmosphere with their laughter and good humor.""Scrooge\'s Niece\'s Sisters are a part of the family gathering, expressing their opinions and adding to the lively atmosphere with their laughter and good humor.""Scrooge\'s Niece\'s Sisters are part of the family gathering, contributing to the lively atmosphere and expressing opinions about Scrooge."', 'source_id': 'chunk-773d0df1dd25c356f7b771d780583e09'} +2024-10-30 06:04:55,246 - lightrag - INFO - get_node:query:MATCH (n:`THE PLUMP SISTER`) RETURN n:result:"The Plump Sister is a character in the gathering who becomes the focus of Topper\'s playful advances during the games, contributing to the comedic aspects of the gathering.""The Plump Sister is a character in the gathering who becomes the focus of Topper\'s playful advances during the games, contributing to the comedic aspects of the gathering.""The Plump Sister is depicted in a light-hearted and humorous context, illustrating the fun of Christmas gatherings.""The plump sister is a character involved in the games, specifically blind man\'s-buff, and captures Topper\'s attention during the festivities.""The Plump Sister is one of Scrooge\'s Niece\'s sisters, characterized by her bashfulness and her attempts to maintain decorum amidst the laughter.""The Plump Sister is one of Scrooge\'s Niece\'s sisters, characterized by her bashfulness and her attempts to maintain decorum amidst the laughter.""The Plump Sister is one of Scrooge\'s Niece\'s sisters, characterized by her bashfulness and her attempts to maintain decorum amidst the laughter."', 'source_id': 'chunk-89777b838d5447c7bd1ec11282c4ee89chunk-43c9bee23adfa77aa9dedd22401bba7dchunk-773d0df1dd25c356f7b771d780583e09'}> +2024-10-30 06:04:55,383 - lightrag - INFO - _do_upsert:query: + MERGE (n:`THE PLUMP SISTER`) + SET n += $properties + RETURN n + :result:{'entity_type': '"PERSON"', 'description': '"The Plump Sister is a character in the gathering who becomes the focus of Topper\'s playful advances during the games, contributing to the comedic aspects of the gathering.""The Plump Sister is a character in the gathering who becomes the focus of Topper\'s playful advances during the games, contributing to the comedic aspects of the gathering.""The Plump Sister is a character in the gathering who becomes the focus of Topper\'s playful advances during the games, contributing to the comedic aspects of the gathering.""The Plump Sister is a character in the gathering who becomes the focus of Topper\'s playful advances during the games, contributing to the comedic aspects of the gathering.""The Plump Sister is depicted in a light-hearted and humorous context, illustrating the fun of Christmas gatherings.""The plump sister is a character involved in the games, specifically blind man\'s-buff, and captures Topper\'s attention during the festivities.""The Plump Sister is one of Scrooge\'s Niece\'s sisters, characterized by her bashfulness and her attempts to maintain decorum amidst the laughter.""The Plump Sister is one of Scrooge\'s Niece\'s sisters, characterized by her bashfulness and her attempts to maintain decorum amidst the laughter.""The Plump Sister is one of Scrooge\'s Niece\'s sisters, characterized by her bashfulness and her attempts to maintain decorum amidst the laughter.""The Plump Sister is one of Scrooge\'s Niece\'s sisters, characterized by her bashfulness and her attempts to maintain decorum amidst the laughter."', 'source_id': 'chunk-43c9bee23adfa77aa9dedd22401bba7dchunk-89777b838d5447c7bd1ec11282c4ee89chunk-773d0df1dd25c356f7b771d780583e09'} +2024-10-30 06:04:55,515 - lightrag - INFO - get_node:query:MATCH (n:`DINNER`) RETURN n:result: +2024-10-30 06:04:55,648 - lightrag - INFO - _do_upsert:query: + MERGE (n:`DINNER`) + SET n += $properties + RETURN n + :result:{'entity_type': '"EVENT"', 'description': '"Dinner is the festive meal that is shared among the characters, symbolizing the warmth of family and celebration that contrasts with Scrooge\'s isolated demeanor."', 'source_id': 'chunk-773d0df1dd25c356f7b771d780583e09'} +2024-10-30 06:04:55,778 - lightrag - INFO - get_node:query:MATCH (n:`MERRIMENT`) RETURN n:result:"Merriment embodies the joy and celebration associated with the holiday season and the gathering of family and friends in the narrative.""Merriment embodies the joy and celebration associated with the holiday season and the gathering of family and friends in the narrative.""Merriment refers to the joyful and festive atmosphere that the characters aim to create, opposing Scrooge\'s jaded perspective on social gatherings.""Merriment refers to the joyful and festive atmosphere that the characters aim to create, opposing Scrooge\'s jaded perspective on social gatherings.""Merriment refers to the joyful and festive atmosphere that the characters aim to create, opposing Scrooge\'s jaded perspective on social gatherings."', 'source_id': 'chunk-e7637ff18c5ded77a68cce0a87883fadchunk-773d0df1dd25c356f7b771d780583e09'}> +2024-10-30 06:04:55,913 - lightrag - INFO - _do_upsert:query: + MERGE (n:`MERRIMENT`) + SET n += $properties + RETURN n + :result:{'entity_type': '"CONCEPT"', 'description': '"Merriment embodies the joy and celebration associated with the holiday season and the gathering of family and friends in the narrative.""Merriment embodies the joy and celebration associated with the holiday season and the gathering of family and friends in the narrative.""Merriment embodies the joy and celebration associated with the holiday season and the gathering of family and friends in the narrative.""Merriment embodies the joy and celebration associated with the holiday season and the gathering of family and friends in the narrative.""Merriment refers to the joyful and festive atmosphere that the characters aim to create, opposing Scrooge\'s jaded perspective on social gatherings.""Merriment refers to the joyful and festive atmosphere that the characters aim to create, opposing Scrooge\'s jaded perspective on social gatherings.""Merriment refers to the joyful and festive atmosphere that the characters aim to create, opposing Scrooge\'s jaded perspective on social gatherings.""Merriment refers to the joyful and festive atmosphere that the characters aim to create, opposing Scrooge\'s jaded perspective on social gatherings."', 'source_id': 'chunk-e7637ff18c5ded77a68cce0a87883fadchunk-773d0df1dd25c356f7b771d780583e09'} +2024-10-30 06:04:56,041 - lightrag - INFO - get_node:query:MATCH (n:`BLIND MAN'S BUFF`) RETURN n:result: +2024-10-30 06:04:56,175 - lightrag - INFO - _do_upsert:query: + MERGE (n:`BLIND MAN'S BUFF`) + SET n += $properties + RETURN n + :result:{'entity_type': '"EVENT"', 'description': '"Blind Man\'s Buff is a traditional game played during the gathering, contributing to the festive atmosphere and interactions among the guests."', 'source_id': 'chunk-43c9bee23adfa77aa9dedd22401bba7d'} +2024-10-30 06:04:56,304 - lightrag - INFO - get_node:query:MATCH (n:`FORFEITS`) RETURN n:result:"Forfeits is another social game played by the characters, emphasizing the playful nature of their Christmas celebration.""Forfeits is another social game played by the characters, emphasizing the playful nature of their Christmas celebration.""Forfeits is another social game played by the characters, emphasizing the playful nature of their Christmas celebration."', 'source_id': 'chunk-43c9bee23adfa77aa9dedd22401bba7d'}> +2024-10-30 06:04:56,443 - lightrag - INFO - _do_upsert:query: + MERGE (n:`FORFEITS`) + SET n += $properties + RETURN n + :result:{'entity_type': '"EVENT"', 'description': '"Forfeits is another game played that allows participants to engage in fun activities, emphasizing the spirit of the gathering.""Forfeits is another social game played by the characters, emphasizing the playful nature of their Christmas celebration.""Forfeits is another social game played by the characters, emphasizing the playful nature of their Christmas celebration.""Forfeits is another social game played by the characters, emphasizing the playful nature of their Christmas celebration.""Forfeits is another social game played by the characters, emphasizing the playful nature of their Christmas celebration."', 'source_id': 'chunk-43c9bee23adfa77aa9dedd22401bba7d'} +2024-10-30 06:04:56,577 - lightrag - INFO - get_node:query:MATCH (n:`THE HARP`) RETURN n:result: +2024-10-30 06:04:56,711 - lightrag - INFO - _do_upsert:query: + MERGE (n:`THE HARP`) + SET n += $properties + RETURN n + :result:{'entity_type': '"TECHNOLOGY"', 'description': '"The Harp is a musical instrument played by Scrooge\'s niece, contributing to the evening\'s entertainment and illustrating the family\'s musical talents."', 'source_id': 'chunk-43c9bee23adfa77aa9dedd22401bba7d'} +2024-10-30 06:04:56,840 - lightrag - INFO - get_node:query:MATCH (n:`CHRISTMAS HOLIDAYS`) RETURN n:result:"Christmas Holidays signify a time for celebration, reflection, and reconciliation, playing a critical role in Scrooge\'s transformation.""Christmas Holidays signify a time for celebration, reflection, and reconciliation, playing a critical role in Scrooge\'s transformation.""The Christmas Holidays serve as a crucial backdrop for the narrative, representing themes of generosity, family, and redemption."', 'source_id': 'chunk-e7637ff18c5ded77a68cce0a87883fad'}> +2024-10-30 06:04:56,974 - lightrag - INFO - _do_upsert:query: + MERGE (n:`CHRISTMAS HOLIDAYS`) + SET n += $properties + RETURN n + :result:{'entity_type': '"EVENT"', 'description': '"Christmas Holidays signify a time for celebration, reflection, and reconciliation, playing a critical role in Scrooge\'s transformation.""Christmas Holidays signify a time for celebration, reflection, and reconciliation, playing a critical role in Scrooge\'s transformation.""Christmas Holidays signify a time for celebration, reflection, and reconciliation, playing a critical role in Scrooge\'s transformation.""Christmas Holidays signify a time for celebration, reflection, and reconciliation, playing a critical role in Scrooge\'s transformation.""The Christmas Holidays serve as a crucial backdrop for the narrative, representing themes of generosity, family, and redemption."', 'source_id': 'chunk-e7637ff18c5ded77a68cce0a87883fad'} +2024-10-30 06:04:57,106 - lightrag - INFO - get_node:query:MATCH (n:`IGNORANCE`) RETURN n:result:"Ignorance is personified as a boy that symbolizes the dangers of ignoring social issues and the consequences of a lack of awareness.""Ignorance personifies a societal failing, depicted as a child, warning of the dangers of neglect and moral responsibility.""Ignorance refers to one of the two children presented by the Spirit, symbolizing societal neglect and the consequences of lack of awareness.""Ignorance personifies a societal failing, depicted as a child, warning of the dangers of neglect and moral responsibility.""Ignorance refers to one of the two children presented by the Spirit, symbolizing societal neglect and the consequences of lack of awareness.""Ignorance personifies a societal failing, depicted as a child, warning of the dangers of neglect and moral responsibility.""Ignorance refers to one of the two children presented by the Spirit, symbolizing societal neglect and the consequences of lack of awareness."', 'source_id': 'chunk-02baee20cc9463dbe08170a8e1043e32chunk-e7637ff18c5ded77a68cce0a87883fad'}> +2024-10-30 06:04:57,240 - lightrag - INFO - _do_upsert:query: + MERGE (n:`IGNORANCE`) + SET n += $properties + RETURN n + :result:{'entity_type': '"CONCEPT"', 'description': '"Ignorance is personified as a boy shown to Scrooge by the Spirit, representing a societal issue that appeals for attention and change.""Ignorance is personified as a boy that symbolizes the dangers of ignoring social issues and the consequences of a lack of awareness.""Ignorance personifies a societal failing, depicted as a child, warning of the dangers of neglect and moral responsibility.""Ignorance refers to one of the two children presented by the Spirit, symbolizing societal neglect and the consequences of lack of awareness.""Ignorance personifies a societal failing, depicted as a child, warning of the dangers of neglect and moral responsibility.""Ignorance refers to one of the two children presented by the Spirit, symbolizing societal neglect and the consequences of lack of awareness.""Ignorance personifies a societal failing, depicted as a child, warning of the dangers of neglect and moral responsibility.""Ignorance refers to one of the two children presented by the Spirit, symbolizing societal neglect and the consequences of lack of awareness.""Ignorance personifies a societal failing, depicted as a child, warning of the dangers of neglect and moral responsibility.""Ignorance refers to one of the two children presented by the Spirit, symbolizing societal neglect and the consequences of lack of awareness."', 'source_id': 'chunk-e7637ff18c5ded77a68cce0a87883fadchunk-02baee20cc9463dbe08170a8e1043e32'} +2024-10-30 06:04:57,373 - lightrag - INFO - get_node:query:MATCH (n:`WANT`) RETURN n:result:"Want is represented as the second child shown by the Spirit, symbolizing the dire social conditions and needs of the impoverished.""Want represents another societal failing, portrayed as a girl, symbolizing deprivation and yearning for basic needs.""Want is represented as the second child shown by the Spirit, symbolizing the dire social conditions and needs of the impoverished.""Want represents another societal failing, portrayed as a girl, symbolizing deprivation and yearning for basic needs.""Want is represented as the second child shown by the Spirit, symbolizing the dire social conditions and needs of the impoverished.""Want represents another societal failing, portrayed as a girl, symbolizing deprivation and yearning for basic needs."', 'source_id': 'chunk-02baee20cc9463dbe08170a8e1043e32chunk-e7637ff18c5ded77a68cce0a87883fad'}> +2024-10-30 06:04:57,507 - lightrag - INFO - _do_upsert:query: + MERGE (n:`WANT`) + SET n += $properties + RETURN n + :result:{'entity_type': '"CONCEPT"', 'description': '"Want is depicted as a girl, representing the consequences of poverty and desire in society, warning against neglecting these issues.""Want is represented as the second child shown by the Spirit, symbolizing the dire social conditions and needs of the impoverished.""Want represents another societal failing, portrayed as a girl, symbolizing deprivation and yearning for basic needs.""Want is represented as the second child shown by the Spirit, symbolizing the dire social conditions and needs of the impoverished.""Want represents another societal failing, portrayed as a girl, symbolizing deprivation and yearning for basic needs.""Want is represented as the second child shown by the Spirit, symbolizing the dire social conditions and needs of the impoverished.""Want represents another societal failing, portrayed as a girl, symbolizing deprivation and yearning for basic needs.""Want is represented as the second child shown by the Spirit, symbolizing the dire social conditions and needs of the impoverished.""Want represents another societal failing, portrayed as a girl, symbolizing deprivation and yearning for basic needs."', 'source_id': 'chunk-e7637ff18c5ded77a68cce0a87883fadchunk-02baee20cc9463dbe08170a8e1043e32'} +2024-10-30 06:04:57,635 - lightrag - INFO - get_node:query:MATCH (n:`ALMS HOUSE`) RETURN n:result: +2024-10-30 06:04:57,767 - lightrag - INFO - _do_upsert:query: + MERGE (n:`ALMS HOUSE`) + SET n += $properties + RETURN n + :result:{'entity_type': '"ORGANIZATION"', 'description': '"Alms House refers to a charitable institution visited by the Spirit, where the poor receive support and care."', 'source_id': 'chunk-e7637ff18c5ded77a68cce0a87883fad'} +2024-10-30 06:04:57,895 - lightrag - INFO - get_node:query:MATCH (n:`HOSPITAL`) RETURN n:result:"Hospital signifies a place of healing and care, visited by the Spirit in the story.""Hospital signifies a place of healing and care, visited by the Spirit in the story.""The Hospital represents a location of care and compassion, highlighting the human condition and the need for kindness."', 'source_id': 'chunk-e7637ff18c5ded77a68cce0a87883fad'}> +2024-10-30 06:04:58,029 - lightrag - INFO - _do_upsert:query: + MERGE (n:`HOSPITAL`) + SET n += $properties + RETURN n + :result:{'entity_type': '"ORGANIZATION"', 'description': '"Hospital signifies a place of healing and care, visited by the Spirit in the story.""Hospital signifies a place of healing and care, visited by the Spirit in the story.""Hospital signifies a place of healing and care, visited by the Spirit in the story.""Hospital signifies a place of healing and care, visited by the Spirit in the story.""The Hospital represents a location of care and compassion, highlighting the human condition and the need for kindness."', 'source_id': 'chunk-e7637ff18c5ded77a68cce0a87883fad'} +2024-10-30 06:04:58,158 - lightrag - INFO - get_node:query:MATCH (n:`GAOL`) RETURN n:result:"Gaol refers to a prison, illustrating the theme of social justice and the conditions of the impoverished in society.""Gaol refers to a prison, illustrating the theme of social justice and the conditions of the impoverished in society.""The Gaol symbolizes imprisonment and despair, representing the societal failings and the need for mercy and understanding."', 'source_id': 'chunk-e7637ff18c5ded77a68cce0a87883fad'}> +2024-10-30 06:04:58,292 - lightrag - INFO - _do_upsert:query: + MERGE (n:`GAOL`) + SET n += $properties + RETURN n + :result:{'entity_type': '"ORGANIZATION"', 'description': '"Gaol refers to a prison, illustrating the theme of social justice and the conditions of the impoverished in society.""Gaol refers to a prison, illustrating the theme of social justice and the conditions of the impoverished in society.""Gaol refers to a prison, illustrating the theme of social justice and the conditions of the impoverished in society.""Gaol refers to a prison, illustrating the theme of social justice and the conditions of the impoverished in society.""The Gaol symbolizes imprisonment and despair, representing the societal failings and the need for mercy and understanding."', 'source_id': 'chunk-e7637ff18c5ded77a68cce0a87883fad'} +2024-10-30 06:04:58,425 - lightrag - INFO - get_node:query:MATCH (n:`TWELFTH NIGHT`) RETURN n:result: +2024-10-30 06:04:58,558 - lightrag - INFO - _do_upsert:query: + MERGE (n:`TWELFTH NIGHT`) + SET n += $properties + RETURN n + :result:{'entity_type': '"EVENT"', 'description': '"Twelfth Night is a festive occasion celebrated in the story, showcasing family gatherings and merriment during the holiday season."', 'source_id': 'chunk-e7637ff18c5ded77a68cce0a87883fad'} +2024-10-30 06:04:58,688 - lightrag - INFO - get_node:query:MATCH (n:`MULLED WINE`) RETURN n:result:"Mulled Wine is a festive drink mentioned in the context of celebration during the Christmas gathering.""Mulled Wine is a festive drink mentioned in the context of celebration during the Christmas gathering.""Mulled Wine symbolizes warmth and cheer, often associated with celebrations during the holiday season, particularly in the context of family gatherings."', 'source_id': 'chunk-e7637ff18c5ded77a68cce0a87883fad'}> +2024-10-30 06:04:58,823 - lightrag - INFO - _do_upsert:query: + MERGE (n:`MULLED WINE`) + SET n += $properties + RETURN n + :result:{'entity_type': '"EVENT"', 'description': '"Mulled Wine is a festive drink mentioned in the context of celebration during the Christmas gathering.""Mulled Wine is a festive drink mentioned in the context of celebration during the Christmas gathering.""Mulled Wine is a festive drink mentioned in the context of celebration during the Christmas gathering.""Mulled Wine is a festive drink mentioned in the context of celebration during the Christmas gathering.""Mulled Wine symbolizes warmth and cheer, often associated with celebrations during the holiday season, particularly in the context of family gatherings."', 'source_id': 'chunk-e7637ff18c5ded77a68cce0a87883fad'} +2024-10-30 06:04:58,955 - lightrag - INFO - get_node:query:MATCH (n:`PHANTOM`) RETURN n:result: +2024-10-30 06:04:59,087 - lightrag - INFO - _do_upsert:query: + MERGE (n:`PHANTOM`) + SET n += $properties + RETURN n + :result:{'entity_type': '"ORGANIZATION"', 'description': '"The Phantom is a representation of death and the unknown future, appearing to Scrooge with a mysterious and intimidating presence."', 'source_id': 'chunk-02baee20cc9463dbe08170a8e1043e32'} +2024-10-30 06:04:59,219 - lightrag - INFO - get_node:query:MATCH (n:`BUSINESS MEN`) RETURN n:result: +2024-10-30 06:04:59,355 - lightrag - INFO - _do_upsert:query: + MERGE (n:`BUSINESS MEN`) + SET n += $properties + RETURN n + :result:{'entity_type': '"ORGANIZATION"', 'description': '"The business men are a group discussing Scrooge\'s death, reflecting society\'s indifference and the consequential nature of wealth."', 'source_id': 'chunk-02baee20cc9463dbe08170a8e1043e32'} +2024-10-30 06:04:59,482 - lightrag - INFO - get_node:query:MATCH (n:`THE DEAD MAN`) RETURN n:result:"The Dead man is the subject of discussion among the business men, representing Scrooge himself and the consequences of his life.""The Dead man is the subject of discussion among the business men, representing Scrooge himself and the consequences of his life.""The Dead man is the subject of discussion among the business men, representing Scrooge himself and the consequences of his life."', 'source_id': 'chunk-02baee20cc9463dbe08170a8e1043e32chunk-60fc063c79fc0d4acc91a57e79de04dc'}> +2024-10-30 06:04:59,617 - lightrag - INFO - _do_upsert:query: + MERGE (n:`THE DEAD MAN`) + SET n += $properties + RETURN n + :result:{'entity_type': '"PERSON"', 'description': '"The Dead Man is mentioned as the previous owner of the items being appraised, embodying the consequences of greed and isolation.""The Dead man is the subject of discussion among the business men, representing Scrooge himself and the consequences of his life.""The Dead man is the subject of discussion among the business men, representing Scrooge himself and the consequences of his life.""The Dead man is the subject of discussion among the business men, representing Scrooge himself and the consequences of his life.""The Dead man is the subject of discussion among the business men, representing Scrooge himself and the consequences of his life."', 'source_id': 'chunk-60fc063c79fc0d4acc91a57e79de04dcchunk-02baee20cc9463dbe08170a8e1043e32'} +2024-10-30 06:04:59,745 - lightrag - INFO - get_node:query:MATCH (n:`JACOB`) RETURN n:result:"Jacob is Scrooge\'s old partner whose death is acknowledged, influencing Scrooge\'s reflections on his own life and future.""Jacob is Scrooge\'s old partner whose death is acknowledged, influencing Scrooge\'s reflections on his own life and future.""Jacob is referenced as Scrooge\'s old partner, significant for his recent death and the impact of this event on Scrooge\'s reflections."', 'source_id': 'chunk-f1a4fbcf1ed86864b9bfd5e8dba4c683'}> +2024-10-30 06:04:59,880 - lightrag - INFO - _do_upsert:query: + MERGE (n:`JACOB`) + SET n += $properties + RETURN n + :result:{'entity_type': '"PERSON"', 'description': '"Jacob is Scrooge\'s old partner whose death is acknowledged, influencing Scrooge\'s reflections on his own life and future.""Jacob is Scrooge\'s old partner whose death is acknowledged, influencing Scrooge\'s reflections on his own life and future.""Jacob is Scrooge\'s old partner whose death is acknowledged, influencing Scrooge\'s reflections on his own life and future.""Jacob is Scrooge\'s old partner whose death is acknowledged, influencing Scrooge\'s reflections on his own life and future.""Jacob is referenced as Scrooge\'s old partner, significant for his recent death and the impact of this event on Scrooge\'s reflections."', 'source_id': 'chunk-f1a4fbcf1ed86864b9bfd5e8dba4c683'} +2024-10-30 06:05:00,010 - lightrag - INFO - get_node:query:MATCH (n:`THE TOWN`) RETURN n:result: +2024-10-30 06:05:00,144 - lightrag - INFO - _do_upsert:query: + MERGE (n:`THE TOWN`) + SET n += $properties + RETURN n + :result:{'entity_type': '"GEO"', 'description': '"The Town is depicted as an obscure and morally degraded area contrasting with the lively scenes, indicating deep societal issues."', 'source_id': 'chunk-f1a4fbcf1ed86864b9bfd5e8dba4c683'} +2024-10-30 06:05:00,277 - lightrag - INFO - get_node:query:MATCH (n:`THE LOW-BROWED SHOP`) RETURN n:result:"The Low-Browed Shop is a grim establishment in the town dealing in various unwanted goods, representing decay and desperation.""The Low-Browed Shop is a grim establishment in the town dealing in various unwanted goods, representing decay and desperation.""The Low-Browed Shop is a setting that symbolizes neglect and degradation, filled with discarded items and representing societal decay."', 'source_id': 'chunk-f1a4fbcf1ed86864b9bfd5e8dba4c683'}> +2024-10-30 06:05:00,414 - lightrag - INFO - _do_upsert:query: + MERGE (n:`THE LOW-BROWED SHOP`) + SET n += $properties + RETURN n + :result:{'entity_type': '"ORGANIZATION"', 'description': '"The Low-Browed Shop is a grim establishment in the town dealing in various unwanted goods, representing decay and desperation.""The Low-Browed Shop is a grim establishment in the town dealing in various unwanted goods, representing decay and desperation.""The Low-Browed Shop is a grim establishment in the town dealing in various unwanted goods, representing decay and desperation.""The Low-Browed Shop is a grim establishment in the town dealing in various unwanted goods, representing decay and desperation.""The Low-Browed Shop is a setting that symbolizes neglect and degradation, filled with discarded items and representing societal decay."', 'source_id': 'chunk-f1a4fbcf1ed86864b9bfd5e8dba4c683'} +2024-10-30 06:05:00,542 - lightrag - INFO - get_node:query:MATCH (n:`RED-FACED GENTLEMAN`) RETURN n:result: +2024-10-30 06:05:00,680 - lightrag - INFO - _do_upsert:query: + MERGE (n:`RED-FACED GENTLEMAN`) + SET n += $properties + RETURN n + :result:{'entity_type': '"PERSON"', 'description': '"The Red-faced Gentleman is a character who humorously discusses the potential nature of a cheap funeral at the gathering."', 'source_id': 'chunk-f1a4fbcf1ed86864b9bfd5e8dba4c683'} +2024-10-30 06:05:00,811 - lightrag - INFO - get_node:query:MATCH (n:`GENTLEMAN WITH THE EXCRESCENCE`) RETURN n:result: +2024-10-30 06:05:00,946 - lightrag - INFO - _do_upsert:query: + MERGE (n:`GENTLEMAN WITH THE EXCRESCENCE`) + SET n += $properties + RETURN n + :result:{'entity_type': '"PERSON"', 'description': '"The Gentleman with the Excrescence is characterized by a physical trait and provides humorous remarks about attending a funeral."', 'source_id': 'chunk-f1a4fbcf1ed86864b9bfd5e8dba4c683'} +2024-10-30 06:05:01,080 - lightrag - INFO - get_node:query:MATCH (n:`OLD SCRATCH`) RETURN n:result:"Old Scratch is a colloquial term used in reference to the devil, indicating a grim context in discussions about death.""Old Scratch is a colloquial term used in reference to the devil, indicating a grim context in discussions about death.""Old Scratch is mentioned as a figure related to the conversation, symbolizing mischief and humor."', 'source_id': 'chunk-f1a4fbcf1ed86864b9bfd5e8dba4c683chunk-89777b838d5447c7bd1ec11282c4ee89'}> +2024-10-30 06:05:01,219 - lightrag - INFO - _do_upsert:query: + MERGE (n:`OLD SCRATCH`) + SET n += $properties + RETURN n + :result:{'entity_type': '"CONCEPT"', 'description': '"Old Scratch is a colloquial term used in reference to the devil, indicating a grim context in discussions about death.""Old Scratch is a colloquial term used in reference to the devil, indicating a grim context in discussions about death.""Old Scratch is a colloquial term used in reference to the devil, indicating a grim context in discussions about death.""Old Scratch is a colloquial term used in reference to the devil, indicating a grim context in discussions about death.""Old Scratch is mentioned as a figure related to the conversation, symbolizing mischief and humor."', 'source_id': 'chunk-f1a4fbcf1ed86864b9bfd5e8dba4c683chunk-89777b838d5447c7bd1ec11282c4ee89'} +2024-10-30 06:05:01,349 - lightrag - INFO - get_node:query:MATCH (n:`THE MEETING`) RETURN n:result: +2024-10-30 06:05:01,485 - lightrag - INFO - _do_upsert:query: + MERGE (n:`THE MEETING`) + SET n += $properties + RETURN n + :result:{'entity_type': '"EVENT"', 'description': '"The Meeting is characterized by light-hearted banter among characters regarding the funeral and their connections to the deceased."', 'source_id': 'chunk-f1a4fbcf1ed86864b9bfd5e8dba4c683'} +2024-10-30 06:05:01,613 - lightrag - INFO - get_node:query:MATCH (n:`THE PHANTOM`) RETURN n:result:"The Phantom represents a ghostly presence guiding Scrooge through reflections on his life and future decisions.""The Phantom represents a ghostly presence guiding Scrooge through reflections on his life and future decisions.""The Phantom represents the supernatural element in Scrooge\'s journey of self-reflection and moral awakening."', 'source_id': 'chunk-f1a4fbcf1ed86864b9bfd5e8dba4c683'}> +2024-10-30 06:05:01,744 - lightrag - INFO - _do_upsert:query: + MERGE (n:`THE PHANTOM`) + SET n += $properties + RETURN n + :result:{'entity_type': '"ORGANIZATION"', 'description': '"The Phantom represents a ghostly presence guiding Scrooge through reflections on his life and future decisions.""The Phantom represents a ghostly presence guiding Scrooge through reflections on his life and future decisions.""The Phantom represents a ghostly presence guiding Scrooge through reflections on his life and future decisions.""The Phantom represents a ghostly presence guiding Scrooge through reflections on his life and future decisions.""The Phantom represents the supernatural element in Scrooge\'s journey of self-reflection and moral awakening."', 'source_id': 'chunk-f1a4fbcf1ed86864b9bfd5e8dba4c683'} +2024-10-30 06:05:01,877 - lightrag - INFO - get_node:query:MATCH (n:`THE QUARTER`) RETURN n:result: +2024-10-30 06:05:02,019 - lightrag - INFO - _do_upsert:query: + MERGE (n:`THE QUARTER`) + SET n += $properties + RETURN n + :result:{'entity_type': '"GEO"', 'description': '"The Quarter is a depiction of an impoverished and crime-ridden area of the town, emphasizing societal neglect."', 'source_id': 'chunk-f1a4fbcf1ed86864b9bfd5e8dba4c683'} +2024-10-30 06:05:02,147 - lightrag - INFO - get_node:query:MATCH (n:`THE COAL SHOP`) RETURN n:result: +2024-10-30 06:05:02,282 - lightrag - INFO - _do_upsert:query: + MERGE (n:`THE COAL SHOP`) + SET n += $properties + RETURN n + :result:{'entity_type': '"ORGANIZATION"', 'description': '"The Coal Shop is a den of lowly transactions that signifies the harsh living conditions experienced by the characters in the quarter."', 'source_id': 'chunk-f1a4fbcf1ed86864b9bfd5e8dba4c683'} +2024-10-30 06:05:02,413 - lightrag - INFO - get_node:query:MATCH (n:`MISCELLANEOUS TATTERS`) RETURN n:result: +2024-10-30 06:05:02,548 - lightrag - INFO - _do_upsert:query: + MERGE (n:`MISCELLANEOUS TATTERS`) + SET n += $properties + RETURN n + :result:{'entity_type': '"CONCEPT"', 'description': '"Miscellaneous Tatters symbolize the shabby and worn conditions surrounding the characters in the Low-Browed Shop."', 'source_id': 'chunk-f1a4fbcf1ed86864b9bfd5e8dba4c683'} +2024-10-30 06:05:02,675 - lightrag - INFO - get_node:query:MATCH (n:`THE CHARCOAL STOVE`) RETURN n:result: +2024-10-30 06:05:02,810 - lightrag - INFO - _do_upsert:query: + MERGE (n:`THE CHARCOAL STOVE`) + SET n += $properties + RETURN n + :result:{'entity_type': '"TECHNOLOGY"', 'description': '"The Charcoal Stove is a humble source of warmth within the Low-Browed Shop, indicative of the bleak environment."', 'source_id': 'chunk-f1a4fbcf1ed86864b9bfd5e8dba4c683'} +2024-10-30 06:05:02,940 - lightrag - INFO - get_node:query:MATCH (n:`OLD JOE`) RETURN n:result:"Old Joe is a grey-haired man who runs a shop where people come to sell their belongings after a death, embodying a rough, pragmatic character.""Old Joe is a grey-haired man who runs a shop where people come to sell their belongings after a death, embodying a rough, pragmatic character.""Old Joe is a grey-haired man, nearly seventy years old, who runs a shop and conducts business in a rather nonchalant manner, showcasing a certain charm amidst his questionable dealings."', 'source_id': 'chunk-60fc063c79fc0d4acc91a57e79de04dc'}> +2024-10-30 06:05:03,073 - lightrag - INFO - _do_upsert:query: + MERGE (n:`OLD JOE`) + SET n += $properties + RETURN n + :result:{'entity_type': '"PERSON"', 'description': '"Old Joe is a grey-haired man who runs a shop where people come to sell their belongings after a death, embodying a rough, pragmatic character.""Old Joe is a grey-haired man who runs a shop where people come to sell their belongings after a death, embodying a rough, pragmatic character.""Old Joe is a grey-haired man who runs a shop where people come to sell their belongings after a death, embodying a rough, pragmatic character.""Old Joe is a grey-haired man who runs a shop where people come to sell their belongings after a death, embodying a rough, pragmatic character.""Old Joe is a grey-haired man, nearly seventy years old, who runs a shop and conducts business in a rather nonchalant manner, showcasing a certain charm amidst his questionable dealings."', 'source_id': 'chunk-60fc063c79fc0d4acc91a57e79de04dc'} +2024-10-30 06:05:03,202 - lightrag - INFO - get_node:query:MATCH (n:`MRS. DILBER`) RETURN n:result:"Mrs. Dilber is a laundress who participates in the gathering, commenting on the morality of their actions with a laugh.""Mrs. Dilber is a laundress who participates in the gathering, commenting on the morality of their actions with a laugh.""Mrs. Dilber is a laundress who participates in the gathering, commenting on the morality of their actions with a laugh."', 'source_id': 'chunk-60fc063c79fc0d4acc91a57e79de04dc'}> +2024-10-30 06:05:03,337 - lightrag - INFO - _do_upsert:query: + MERGE (n:`MRS. DILBER`) + SET n += $properties + RETURN n + :result:{'entity_type': '"PERSON"', 'description': '"Mrs. Dilber is a laundress who is involved in the discussion about the belongings they are handling, exhibiting a pragmatic attitude towards the situation.""Mrs. Dilber is a laundress who participates in the gathering, commenting on the morality of their actions with a laugh.""Mrs. Dilber is a laundress who participates in the gathering, commenting on the morality of their actions with a laugh.""Mrs. Dilber is a laundress who participates in the gathering, commenting on the morality of their actions with a laugh.""Mrs. Dilber is a laundress who participates in the gathering, commenting on the morality of their actions with a laugh."', 'source_id': 'chunk-60fc063c79fc0d4acc91a57e79de04dc'} +2024-10-30 06:05:03,467 - lightrag - INFO - get_node:query:MATCH (n:`THE MAN IN FADED BLACK`) RETURN n:result: +2024-10-30 06:05:03,601 - lightrag - INFO - _do_upsert:query: + MERGE (n:`THE MAN IN FADED BLACK`) + SET n += $properties + RETURN n + :result:{'entity_type': '"PERSON"', 'description': '"The Man in Faded Black is a character who, echoing the sentiments of the others, reveals his modest haul of stolen goods during the gathering."', 'source_id': 'chunk-60fc063c79fc0d4acc91a57e79de04dc'} +2024-10-30 06:05:03,733 - lightrag - INFO - get_node:query:MATCH (n:`THE SHOP`) RETURN n:result:"The Shop is a setting where characters gather to appraise items they have taken from the deceased, reflecting their attitudes towards death and morality.""The Shop is a setting where characters gather to appraise items they have taken from the deceased, reflecting their attitudes towards death and morality.""The Shop is a setting where characters gather to appraise items they have taken from the deceased, reflecting their attitudes towards death and morality."', 'source_id': 'chunk-60fc063c79fc0d4acc91a57e79de04dc'}> +2024-10-30 06:05:03,869 - lightrag - INFO - _do_upsert:query: + MERGE (n:`THE SHOP`) + SET n += $properties + RETURN n + :result:{'entity_type': '"ORGANIZATION"', 'description': '"The Shop is Old Joe\'s place of business and serves as the meeting location for the characters, where they evaluate and exchange stolen items.""The Shop is a setting where characters gather to appraise items they have taken from the deceased, reflecting their attitudes towards death and morality.""The Shop is a setting where characters gather to appraise items they have taken from the deceased, reflecting their attitudes towards death and morality.""The Shop is a setting where characters gather to appraise items they have taken from the deceased, reflecting their attitudes towards death and morality.""The Shop is a setting where characters gather to appraise items they have taken from the deceased, reflecting their attitudes towards death and morality."', 'source_id': 'chunk-60fc063c79fc0d4acc91a57e79de04dc'} +2024-10-30 06:05:04,004 - lightrag - INFO - get_node:query:MATCH (n:`THE BUNDLE`) RETURN n:result:"The Bundle contains the belongings of the deceased man, which serve as a focal point for discussion among the characters regarding value and morality.""The Bundle contains the belongings of the deceased man, which serve as a focal point for discussion among the characters regarding value and morality.""The Bundle refers to the collection of stolen items brought by the characters to Old Joe\'s shop for appraisal, symbolizing their actions post-death.""The Bundle refers to the collection of stolen items that the characters present to Old Joe for appraisal.""The Bundle refers to the collection of stolen items brought by the characters to Old Joe\'s shop for appraisal, symbolizing their actions post-death.""The Bundle refers to the collection of stolen items brought by the characters to Old Joe\'s shop for appraisal, symbolizing their actions post-death."', 'source_id': 'chunk-60fc063c79fc0d4acc91a57e79de04dcchunk-e1f29eeadc1d8ab46dc8a0bbd3c56b64'}> +2024-10-30 06:05:04,139 - lightrag - INFO - _do_upsert:query: + MERGE (n:`THE BUNDLE`) + SET n += $properties + RETURN n + :result:{'entity_type': '"EVENT"', 'description': '"The Bundle contains the belongings of the deceased man, which serve as a focal point for discussion among the characters regarding value and morality.""The Bundle contains the belongings of the deceased man, which serve as a focal point for discussion among the characters regarding value and morality.""The Bundle contains the belongings of the deceased man, which serve as a focal point for discussion among the characters regarding value and morality.""The Bundle contains the belongings of the deceased man, which serve as a focal point for discussion among the characters regarding value and morality.""The Bundle refers to the collection of stolen items brought by the characters to Old Joe\'s shop for appraisal, symbolizing their actions post-death.""The Bundle refers to the collection of stolen items that the characters present to Old Joe for appraisal.""The Bundle refers to the collection of stolen items brought by the characters to Old Joe\'s shop for appraisal, symbolizing their actions post-death.""The Bundle refers to the collection of stolen items brought by the characters to Old Joe\'s shop for appraisal, symbolizing their actions post-death.""The Bundle refers to the collection of stolen items brought by the characters to Old Joe\'s shop for appraisal, symbolizing their actions post-death."', 'source_id': 'chunk-e1f29eeadc1d8ab46dc8a0bbd3c56b64chunk-60fc063c79fc0d4acc91a57e79de04dc'} +2024-10-30 06:05:04,269 - lightrag - INFO - get_node:query:MATCH (n:`THE DEATH`) RETURN n:result: +2024-10-30 06:05:04,405 - lightrag - INFO - _do_upsert:query: + MERGE (n:`THE DEATH`) + SET n += $properties + RETURN n + :result:{'entity_type': '"EVENT"', 'description': '"The Death signifies the passing of a man whose belongings are being appraised, influencing the motivations and actions of the characters."', 'source_id': 'chunk-60fc063c79fc0d4acc91a57e79de04dc'} +2024-10-30 06:05:04,535 - lightrag - INFO - get_node:query:MATCH (n:`THE STOLEN GOODS`) RETURN n:result: +2024-10-30 06:05:04,668 - lightrag - INFO - _do_upsert:query: + MERGE (n:`THE STOLEN GOODS`) + SET n += $properties + RETURN n + :result:{'entity_type': '"EVENT"', 'description': '"The Stolen Goods are the items that the characters bring to Old Joe for evaluation, highlighting their moral stance and the circumstances surrounding the death."', 'source_id': 'chunk-60fc063c79fc0d4acc91a57e79de04dc'} +2024-10-30 06:05:04,795 - lightrag - INFO - get_node:query:MATCH (n:`THE ACCUSATION`) RETURN n:result: +2024-10-30 06:05:04,929 - lightrag - INFO - _do_upsert:query: + MERGE (n:`THE ACCUSATION`) + SET n += $properties + RETURN n + :result:{'entity_type': '"EVENT"', 'description': '"The Accusation refers to the implied judgement of the deceased\'s character that the characters discuss while evaluating their actions."', 'source_id': 'chunk-60fc063c79fc0d4acc91a57e79de04dc'} +2024-10-30 06:05:05,058 - lightrag - INFO - get_node:query:MATCH (n:`THE PARLOUR`) RETURN n:result: +2024-10-30 06:05:05,192 - lightrag - INFO - _do_upsert:query: + MERGE (n:`THE PARLOUR`) + SET n += $properties + RETURN n + :result:{'entity_type': '"LOCATION"', 'description': '"The Parlour is the private space behind the shop curtain where the characters engage in conversation and appraisal, symbolizing a shift from public to private."', 'source_id': 'chunk-60fc063c79fc0d4acc91a57e79de04dc'} +2024-10-30 06:05:05,322 - lightrag - INFO - get_node:query:MATCH (n:`THE RAGS`) RETURN n:result: +2024-10-30 06:05:05,459 - lightrag - INFO - _do_upsert:query: + MERGE (n:`THE RAGS`) + SET n += $properties + RETURN n + :result:{'entity_type': '"CONCEPT"', 'description': '"The Rags serve as a metaphor for the characters\' grim circumstances and the societal implications of their gathering, accentuating the theme of decay and neglect."', 'source_id': 'chunk-60fc063c79fc0d4acc91a57e79de04dc'} +2024-10-30 06:05:05,590 - lightrag - INFO - get_node:query:MATCH (n:`THE COLD AIR`) RETURN n:result: +2024-10-30 06:05:05,727 - lightrag - INFO - _do_upsert:query: + MERGE (n:`THE COLD AIR`) + SET n += $properties + RETURN n + :result:{'entity_type': '"CONCEPT"', 'description': '"The Cold Air symbolizes the harsh realities surrounding the characters and their actions, emphasizing the atmosphere of deprivation."', 'source_id': 'chunk-60fc063c79fc0d4acc91a57e79de04dc'} +2024-10-30 06:05:05,858 - lightrag - INFO - get_node:query:MATCH (n:`JUDGMENT`) RETURN n:result: +2024-10-30 06:05:05,994 - lightrag - INFO - _do_upsert:query: + MERGE (n:`JUDGMENT`) + SET n += $properties + RETURN n + :result:{'entity_type': '"CONCEPT"', 'description': '"Judgment here refers to the characters\' reflections on morality regarding their actions after the death, questioning societal norms and individual ethics."', 'source_id': 'chunk-60fc063c79fc0d4acc91a57e79de04dc'} +2024-10-30 06:05:06,170 - lightrag - INFO - get_node:query:MATCH (n:`THE LAUGHTER`) RETURN n:result: +2024-10-30 06:05:06,308 - lightrag - INFO - _do_upsert:query: + MERGE (n:`THE LAUGHTER`) + SET n += $properties + RETURN n + :result:{'entity_type': '"EVENT"', 'description': '"The Laughter represents a shared moment among the characters that highlights their camaraderie in the struggle against their grim realities."', 'source_id': 'chunk-60fc063c79fc0d4acc91a57e79de04dc'} +2024-10-30 06:05:06,441 - lightrag - INFO - get_node:query:MATCH (n:`THE DECEASED MAN`) RETURN n:result: +2024-10-30 06:05:06,575 - lightrag - INFO - _do_upsert:query: + MERGE (n:`THE DECEASED MAN`) + SET n += $properties + RETURN n + :result:{'entity_type': '"PERSON"', 'description': '"The Deceased Man is a character whose belongings are being discussed and whose death prompts reactions of horror and contemplation from Scrooge."', 'source_id': 'chunk-e1f29eeadc1d8ab46dc8a0bbd3c56b64'} +2024-10-30 06:05:06,701 - lightrag - INFO - get_node:query:MATCH (n:`DEATH`) RETURN n:result:"Death is described as a powerful force in the narrative, represented through the imagery of a cold, rigid presence and the contemplation of mortality.""Death refers to the passing of a character that triggers a range of emotions and reflections among the living, influencing their lives and relationships.""Death is depicted as a cold, inevitable force, prompting reflections on the value of life and the consequences of avarice.""Death is depicted as a cold, inevitable force, prompting reflections on the value of life and the consequences of avarice.""Death is depicted as a cold, inevitable force, prompting reflections on the value of life and the consequences of avarice."', 'source_id': 'chunk-02baee20cc9463dbe08170a8e1043e32chunk-83ac129dc9b56f84c46760d153d68e93chunk-e1f29eeadc1d8ab46dc8a0bbd3c56b64'}> +2024-10-30 06:05:06,837 - lightrag - INFO - _do_upsert:query: + MERGE (n:`DEATH`) + SET n += $properties + RETURN n + :result:{'entity_type': '"CONCEPT"', 'description': '"Death in the story is a significant event that triggers discussion among the Businessmen and prompts Scrooge\'s reflections.""Death is described as a powerful force in the narrative, represented through the imagery of a cold, rigid presence and the contemplation of mortality.""Death refers to the passing of a character that triggers a range of emotions and reflections among the living, influencing their lives and relationships.""Death is depicted as a cold, inevitable force, prompting reflections on the value of life and the consequences of avarice.""Death is depicted as a cold, inevitable force, prompting reflections on the value of life and the consequences of avarice.""Death is depicted as a cold, inevitable force, prompting reflections on the value of life and the consequences of avarice.""Death is depicted as a cold, inevitable force, prompting reflections on the value of life and the consequences of avarice."', 'source_id': 'chunk-83ac129dc9b56f84c46760d153d68e93chunk-e1f29eeadc1d8ab46dc8a0bbd3c56b64chunk-02baee20cc9463dbe08170a8e1043e32'} +2024-10-30 06:05:06,976 - lightrag - INFO - get_node:query:MATCH (n:`THE BED`) RETURN n:result:"The Bed represents a significant scene where the deceased man\'s body is laid, evoking deep emotions and realizations about life and morality.""The Bed represents a significant scene where the deceased man\'s body is laid, evoking deep emotions and realizations about life and morality.""The Bed represents a significant scene where the deceased man\'s body is laid, evoking deep emotions and realizations about life and morality."', 'source_id': 'chunk-e1f29eeadc1d8ab46dc8a0bbd3c56b64'}> +2024-10-30 06:05:07,113 - lightrag - INFO - _do_upsert:query: + MERGE (n:`THE BED`) + SET n += $properties + RETURN n + :result:{'entity_type': '"EVENT"', 'description': '"The Bed represents a central object in the scene, symbolizing the final resting place of The Deceased and contributing to the themes of mortality and neglect.""The Bed represents a significant scene where the deceased man\'s body is laid, evoking deep emotions and realizations about life and morality.""The Bed represents a significant scene where the deceased man\'s body is laid, evoking deep emotions and realizations about life and morality.""The Bed represents a significant scene where the deceased man\'s body is laid, evoking deep emotions and realizations about life and morality.""The Bed represents a significant scene where the deceased man\'s body is laid, evoking deep emotions and realizations about life and morality."', 'source_id': 'chunk-e1f29eeadc1d8ab46dc8a0bbd3c56b64'} +2024-10-30 06:05:07,241 - lightrag - INFO - get_node:query:MATCH (n:`THE BLANKETS`) RETURN n:result:"The Blankets are associated with the deceased man\'s body, symbolizing care and the human connection to the dead.""The Blankets are associated with the deceased man\'s body, symbolizing care and the human connection to the dead.""The Blankets are discussed in the context of the deceased\'s possessions, highlighting themes of care and abandonment after death."', 'source_id': 'chunk-e1f29eeadc1d8ab46dc8a0bbd3c56b64'}> +2024-10-30 06:05:07,377 - lightrag - INFO - _do_upsert:query: + MERGE (n:`THE BLANKETS`) + SET n += $properties + RETURN n + :result:{'entity_type': '"CONCEPT"', 'description': '"The Blankets are associated with the deceased man\'s body, symbolizing care and the human connection to the dead.""The Blankets are associated with the deceased man\'s body, symbolizing care and the human connection to the dead.""The Blankets are associated with the deceased man\'s body, symbolizing care and the human connection to the dead.""The Blankets are associated with the deceased man\'s body, symbolizing care and the human connection to the dead.""The Blankets are discussed in the context of the deceased\'s possessions, highlighting themes of care and abandonment after death."', 'source_id': 'chunk-e1f29eeadc1d8ab46dc8a0bbd3c56b64'} +2024-10-30 06:05:07,511 - lightrag - INFO - get_node:query:MATCH (n:`THE OIL`) RETURN n:result: +2024-10-30 06:05:07,645 - lightrag - INFO - _do_upsert:query: + MERGE (n:`THE OIL`) + SET n += $properties + RETURN n + :result:{'entity_type': '"CONCEPT"', 'description': '"The Oil is a material that the woman is cautious about spilling, representing the practical and sometimes distasteful attitude towards the deceased\'s belongings."', 'source_id': 'chunk-e1f29eeadc1d8ab46dc8a0bbd3c56b64'} +2024-10-30 06:05:07,774 - lightrag - INFO - get_node:query:MATCH (n:`THE SHIRT`) RETURN n:result: +2024-10-30 06:05:07,909 - lightrag - INFO - _do_upsert:query: + MERGE (n:`THE SHIRT`) + SET n += $properties + RETURN n + :result:{'entity_type': '"CONCEPT"', 'description': '"The Shirt belonged to the deceased man and is evaluated by the woman who claims it is in good condition, further emphasizing her pragmatic approach to death."', 'source_id': 'chunk-e1f29eeadc1d8ab46dc8a0bbd3c56b64'} +2024-10-30 06:05:08,038 - lightrag - INFO - get_node:query:MATCH (n:`THE FLANNEL BAG`) RETURN n:result:"The Flannel Bag is used by Joe to show the money gained from their dealings with the deceased, highlighting the theme of profit from death.""The Flannel Bag is used by Joe to show the money gained from their dealings with the deceased, highlighting the theme of profit from death.""The Flannel Bag is used by Joe to show the money gained from their dealings with the deceased, highlighting the theme of profit from death."', 'source_id': 'chunk-e1f29eeadc1d8ab46dc8a0bbd3c56b64'}> +2024-10-30 06:05:08,172 - lightrag - INFO - _do_upsert:query: + MERGE (n:`THE FLANNEL BAG`) + SET n += $properties + RETURN n + :result:{'entity_type': '"CONCEPT"', 'description': '"The Flannel Bag contains money and symbolizes the materialistic aspects of life and the relationships surrounding The Deceased’s possessions.""The Flannel Bag is used by Joe to show the money gained from their dealings with the deceased, highlighting the theme of profit from death.""The Flannel Bag is used by Joe to show the money gained from their dealings with the deceased, highlighting the theme of profit from death.""The Flannel Bag is used by Joe to show the money gained from their dealings with the deceased, highlighting the theme of profit from death.""The Flannel Bag is used by Joe to show the money gained from their dealings with the deceased, highlighting the theme of profit from death."', 'source_id': 'chunk-e1f29eeadc1d8ab46dc8a0bbd3c56b64'} +2024-10-30 06:05:08,308 - lightrag - INFO - get_node:query:MATCH (n:`OLD MAN'S LAMP`) RETURN n:result: +2024-10-30 06:05:08,442 - lightrag - INFO - _do_upsert:query: + MERGE (n:`OLD MAN'S LAMP`) + SET n += $properties + RETURN n + :result:{'entity_type': '"CONCEPT"', 'description': '"The Old Man\'s Lamp provides scant light in the scene, contributing to the mood of tension and eeriness surrounding the deceased."', 'source_id': 'chunk-e1f29eeadc1d8ab46dc8a0bbd3c56b64'} +2024-10-30 06:05:08,574 - lightrag - INFO - get_node:query:MATCH (n:`THE CORPSE`) RETURN n:result: +2024-10-30 06:05:08,708 - lightrag - INFO - _do_upsert:query: + MERGE (n:`THE CORPSE`) + SET n += $properties + RETURN n + :result:{'entity_type': '"PERSON"', 'description': '"The Corpse represents the deceased man whose belongings are being discussed, serving as a stark reminder of mortality."', 'source_id': 'chunk-e1f29eeadc1d8ab46dc8a0bbd3c56b64'} +2024-10-30 06:05:08,835 - lightrag - INFO - get_node:query:MATCH (n:`THE DARK ROOM`) RETURN n:result:"The Dark Room is where the corpse lies, symbolizing isolation and the lack of care for the deceased.""The Dark Room is where the corpse lies, symbolizing isolation and the lack of care for the deceased.""The Dark Room serves as the setting for the scene, enhancing the atmosphere of dread and the theme of impending death."', 'source_id': 'chunk-e1f29eeadc1d8ab46dc8a0bbd3c56b64'}> +2024-10-30 06:05:08,972 - lightrag - INFO - _do_upsert:query: + MERGE (n:`THE DARK ROOM`) + SET n += $properties + RETURN n + :result:{'entity_type': '"GEO"', 'description': '"The Dark Room is where the corpse lies, symbolizing isolation and the lack of care for the deceased.""The Dark Room is where the corpse lies, symbolizing isolation and the lack of care for the deceased.""The Dark Room is where the corpse lies, symbolizing isolation and the lack of care for the deceased.""The Dark Room is where the corpse lies, symbolizing isolation and the lack of care for the deceased.""The Dark Room serves as the setting for the scene, enhancing the atmosphere of dread and the theme of impending death."', 'source_id': 'chunk-e1f29eeadc1d8ab46dc8a0bbd3c56b64'} +2024-10-30 06:05:09,103 - lightrag - INFO - get_node:query:MATCH (n:`CAROLINE`) RETURN n:result:"Caroline is portrayed as a mother filled with hope and emotion regarding her husband’s situation, revealing her character through her reactions to news.""Caroline is portrayed as a mother filled with hope and emotion regarding her husband’s situation, revealing her character through her reactions to news.""Caroline is portrayed as a mother filled with hope and emotion regarding her husband’s situation, revealing her character through her reactions to news."', 'source_id': 'chunk-83ac129dc9b56f84c46760d153d68e93'}> +2024-10-30 06:05:09,241 - lightrag - INFO - _do_upsert:query: + MERGE (n:`CAROLINE`) + SET n += $properties + RETURN n + :result:{'entity_type': '"PERSON"', 'description': '"Caroline is a character representing hope and emotional depth, reacting to her husband\'s news about their financial situation with a mixture of dread and optimism.""Caroline is portrayed as a mother filled with hope and emotion regarding her husband’s situation, revealing her character through her reactions to news.""Caroline is portrayed as a mother filled with hope and emotion regarding her husband’s situation, revealing her character through her reactions to news.""Caroline is portrayed as a mother filled with hope and emotion regarding her husband’s situation, revealing her character through her reactions to news.""Caroline is portrayed as a mother filled with hope and emotion regarding her husband’s situation, revealing her character through her reactions to news."', 'source_id': 'chunk-83ac129dc9b56f84c46760d153d68e93'} +2024-10-30 06:05:09,371 - lightrag - INFO - get_node:query:MATCH (n:`THE CRATCHIT HOUSE`) RETURN n:result: +2024-10-30 06:05:09,504 - lightrag - INFO - _do_upsert:query: + MERGE (n:`THE CRATCHIT HOUSE`) + SET n += $properties + RETURN n + :result:{'entity_type': '"ORGANIZATION"', 'description': '"The Cratchit House symbolizes a place of familial connection and warmth, despite the hardships faced by its inhabitants."', 'source_id': 'chunk-83ac129dc9b56f84c46760d153d68e93'} +2024-10-30 06:05:09,632 - lightrag - INFO - get_node:query:MATCH (n:`THE EVENT OF DEATH`) RETURN n:result: +2024-10-30 06:05:09,766 - lightrag - INFO - _do_upsert:query: + MERGE (n:`THE EVENT OF DEATH`) + SET n += $properties + RETURN n + :result:{'entity_type': '"EVENT"', 'description': '"The Event of Death signifies a pivotal moment affecting the characters, transitioning their emotional state and family dynamics."', 'source_id': 'chunk-83ac129dc9b56f84c46760d153d68e93'} +2024-10-30 06:05:09,896 - lightrag - INFO - get_node:query:MATCH (n:`THE HUSBAND`) RETURN n:result: +2024-10-30 06:05:10,033 - lightrag - INFO - _do_upsert:query: + MERGE (n:`THE HUSBAND`) + SET n += $properties + RETURN n + :result:{'entity_type': '"PERSON"', 'description': '"The Husband is depicted as a careworn man, bringing news that impacts his family\'s emotional state, symbolizing the struggle between hope and despair."', 'source_id': 'chunk-83ac129dc9b56f84c46760d153d68e93'} +2024-10-30 06:05:10,161 - lightrag - INFO - get_node:query:MATCH (n:`PETER`) RETURN n:result:"Peter is one of the Cratchit children, who occasionally expresses a sense of duty and future aspirations, contributing to family discussions.""Peter is a son in the Cratchit family, responsible and calm, attempting to engage his siblings amidst a tense family situation and financial uncertainty.""Peter is the son of Bob and Mrs. Cratchit, showing concern and support for his father and siblings.""Peter is a son in the Cratchit family, responsible and calm, attempting to engage his siblings amidst a tense family situation and financial uncertainty.""Peter is the son of Bob and Mrs. Cratchit, showing concern and support for his father and siblings.""Peter is a son in the Cratchit family, responsible and calm, attempting to engage his siblings amidst a tense family situation and financial uncertainty.""Peter is the son of Bob and Mrs. Cratchit, showing concern and support for his father and siblings."', 'source_id': 'chunk-1d4b58de5429cd1261370c231c8673e8chunk-83ac129dc9b56f84c46760d153d68e93'}> +2024-10-30 06:05:10,298 - lightrag - INFO - _do_upsert:query: + MERGE (n:`PETER`) + SET n += $properties + RETURN n + :result:{'entity_type': '"PERSON"', 'description': '"Peter is a member of the Cratchit family, characterized by his quiet demeanor while being engaged in reading, representing the next generation\'s concern.""Peter is one of the Cratchit children, who occasionally expresses a sense of duty and future aspirations, contributing to family discussions.""Peter is a son in the Cratchit family, responsible and calm, attempting to engage his siblings amidst a tense family situation and financial uncertainty.""Peter is the son of Bob and Mrs. Cratchit, showing concern and support for his father and siblings.""Peter is a son in the Cratchit family, responsible and calm, attempting to engage his siblings amidst a tense family situation and financial uncertainty.""Peter is the son of Bob and Mrs. Cratchit, showing concern and support for his father and siblings.""Peter is a son in the Cratchit family, responsible and calm, attempting to engage his siblings amidst a tense family situation and financial uncertainty.""Peter is the son of Bob and Mrs. Cratchit, showing concern and support for his father and siblings.""Peter is a son in the Cratchit family, responsible and calm, attempting to engage his siblings amidst a tense family situation and financial uncertainty.""Peter is the son of Bob and Mrs. Cratchit, showing concern and support for his father and siblings."', 'source_id': 'chunk-1d4b58de5429cd1261370c231c8673e8chunk-83ac129dc9b56f84c46760d153d68e93'} +2024-10-30 06:05:10,435 - lightrag - INFO - get_node:query:MATCH (n:`THE DEBT`) RETURN n:result: +2024-10-30 06:05:10,566 - lightrag - INFO - _do_upsert:query: + MERGE (n:`THE DEBT`) + SET n += $properties + RETURN n + :result:{'entity_type': '"CONCEPT"', 'description': '"The Debt symbolizes the financial burdens faced by the Cratchit family, a source of anxiety and tension impacting their morale and outlook."', 'source_id': 'chunk-83ac129dc9b56f84c46760d153d68e93'} +2024-10-30 06:05:10,696 - lightrag - INFO - get_node:query:MATCH (n:`MR. SCROOGE'S NEPHEW`) RETURN n:result:"Mr. Scrooge\'s Nephew is a kind gentleman who expresses sympathy for Bob Cratchit and offers help, reflecting goodwill.""Mr. Scrooge\'s Nephew is a kind gentleman who expresses sympathy for Bob Cratchit and offers help, reflecting goodwill.""Mr. Scrooge\'s Nephew is a kind gentleman who shows concern for Bob Cratchit and offers support, symbolizing generosity and compassion."', 'source_id': 'chunk-1d4b58de5429cd1261370c231c8673e8'}> +2024-10-30 06:05:10,830 - lightrag - INFO - _do_upsert:query: + MERGE (n:`MR. SCROOGE'S NEPHEW`) + SET n += $properties + RETURN n + :result:{'entity_type': '"PERSON"', 'description': '"Mr. Scrooge\'s Nephew is a kind gentleman who expresses sympathy for Bob Cratchit and offers help, reflecting goodwill.""Mr. Scrooge\'s Nephew is a kind gentleman who expresses sympathy for Bob Cratchit and offers help, reflecting goodwill.""Mr. Scrooge\'s Nephew is a kind gentleman who expresses sympathy for Bob Cratchit and offers help, reflecting goodwill.""Mr. Scrooge\'s Nephew is a kind gentleman who expresses sympathy for Bob Cratchit and offers help, reflecting goodwill.""Mr. Scrooge\'s Nephew is a kind gentleman who shows concern for Bob Cratchit and offers support, symbolizing generosity and compassion."', 'source_id': 'chunk-1d4b58de5429cd1261370c231c8673e8'} +2024-10-30 06:05:10,959 - lightrag - INFO - get_node:query:MATCH (n:`THE TWO YOUNG CRATCHITS`) RETURN n:result:"The Two Young Cratchits are siblings who show affection for their father, demonstrating the innocence and unity of childhood.""The Two Young Cratchits are siblings who show affection for their father, demonstrating the innocence and unity of childhood.""The Two Young Cratchits are the younger children in the Cratchit family, who express affection towards their father, Bob."', 'source_id': 'chunk-1d4b58de5429cd1261370c231c8673e8'}> +2024-10-30 06:05:11,092 - lightrag - INFO - _do_upsert:query: + MERGE (n:`THE TWO YOUNG CRATCHITS`) + SET n += $properties + RETURN n + :result:{'entity_type': '"PERSON"', 'description': '"The Two Young Cratchits are siblings who show affection for their father, demonstrating the innocence and unity of childhood.""The Two Young Cratchits are siblings who show affection for their father, demonstrating the innocence and unity of childhood.""The Two Young Cratchits are siblings who show affection for their father, demonstrating the innocence and unity of childhood.""The Two Young Cratchits are siblings who show affection for their father, demonstrating the innocence and unity of childhood.""The Two Young Cratchits are the younger children in the Cratchit family, who express affection towards their father, Bob."', 'source_id': 'chunk-1d4b58de5429cd1261370c231c8673e8'} +2024-10-30 06:05:11,221 - lightrag - INFO - get_node:query:MATCH (n:`THE TABLE`) RETURN n:result: +2024-10-30 06:05:11,353 - lightrag - INFO - _do_upsert:query: + MERGE (n:`THE TABLE`) + SET n += $properties + RETURN n + :result:{'entity_type': '"GEO"', 'description': '"The Table is where the Cratchit family gathers, representing their domestic life and togetherness."', 'source_id': 'chunk-1d4b58de5429cd1261370c231c8673e8'} +2024-10-30 06:05:11,483 - lightrag - INFO - get_node:query:MATCH (n:`THE ROOM ABOVE`) RETURN n:result: +2024-10-30 06:05:11,618 - lightrag - INFO - _do_upsert:query: + MERGE (n:`THE ROOM ABOVE`) + SET n += $properties + RETURN n + :result:{'entity_type': '"GEO"', 'description': '"The Room Above is a space in the Cratchit household which is illuminated cheerfully, suggesting a haven despite their hardships."', 'source_id': 'chunk-1d4b58de5429cd1261370c231c8673e8'} +2024-10-30 06:05:11,746 - lightrag - INFO - get_node:query:MATCH (n:`THE GHOST OF CHRISTMAS YET TO COME`) RETURN n:result:"The Ghost of Christmas Yet to Come is a spirit that shows Scrooge the consequences of his actions, pointing toward his eventual demise.""The Ghost of Christmas Yet to Come reveals the potential consequences of Scrooge\'s current life choices, emphasizing themes of mortality and legacy.""The Ghost of Christmas Yet to Come is a spirit that shows Scrooge the consequences of his actions, pointing toward his eventual demise.""The Ghost of Christmas Yet to Come reveals the potential consequences of Scrooge\'s current life choices, emphasizing themes of mortality and legacy.""The Ghost of Christmas Yet to Come is a spirit that shows Scrooge the consequences of his actions, pointing toward his eventual demise.""The Ghost of Christmas Yet to Come reveals the potential consequences of Scrooge\'s current life choices, emphasizing themes of mortality and legacy."', 'source_id': 'chunk-90b95db5c53e4364a6bee36b7aa4d70fchunk-91572b3cd42786ba4cb2f180ca25cbf4'}> +2024-10-30 06:05:11,881 - lightrag - INFO - _do_upsert:query: + MERGE (n:`THE GHOST OF CHRISTMAS YET TO COME`) + SET n += $properties + RETURN n + :result:{'entity_type': '"ORGANIZATION"', 'description': '"The Ghost of Christmas Yet to Come is a spectral being that guides Scrooge through visions of his potential future.""The Ghost of Christmas Yet to Come is a spirit that shows Scrooge the consequences of his actions, pointing toward his eventual demise.""The Ghost of Christmas Yet to Come reveals the potential consequences of Scrooge\'s current life choices, emphasizing themes of mortality and legacy.""The Ghost of Christmas Yet to Come is a spirit that shows Scrooge the consequences of his actions, pointing toward his eventual demise.""The Ghost of Christmas Yet to Come reveals the potential consequences of Scrooge\'s current life choices, emphasizing themes of mortality and legacy.""The Ghost of Christmas Yet to Come is a spirit that shows Scrooge the consequences of his actions, pointing toward his eventual demise.""The Ghost of Christmas Yet to Come reveals the potential consequences of Scrooge\'s current life choices, emphasizing themes of mortality and legacy.""The Ghost of Christmas Yet to Come is a spirit that shows Scrooge the consequences of his actions, pointing toward his eventual demise.""The Ghost of Christmas Yet to Come reveals the potential consequences of Scrooge\'s current life choices, emphasizing themes of mortality and legacy."', 'source_id': 'chunk-90b95db5c53e4364a6bee36b7aa4d70fchunk-91572b3cd42786ba4cb2f180ca25cbf4'} +2024-10-30 06:05:12,013 - lightrag - INFO - get_node:query:MATCH (n:`GRAVE`) RETURN n:result: +2024-10-30 06:05:12,146 - lightrag - INFO - _do_upsert:query: + MERGE (n:`GRAVE`) + SET n += $properties + RETURN n + :result:{'entity_type': '"GEO"', 'description': '"The Grave represents a place where Scrooge\'s future self lies, symbolizing death and the consequences of a life unexamined."', 'source_id': 'chunk-91572b3cd42786ba4cb2f180ca25cbf4'} +2024-10-30 06:05:12,276 - lightrag - INFO - get_node:query:MATCH (n:`THE GRAVESTONE`) RETURN n:result: +2024-10-30 06:05:12,410 - lightrag - INFO - _do_upsert:query: + MERGE (n:`THE GRAVESTONE`) + SET n += $properties + RETURN n + :result:{'entity_type': '"GEO"', 'description': '"The Gravestone bears Scrooge\'s name and symbolizes mortality and the legacy of his actions during his lifetime."', 'source_id': 'chunk-91572b3cd42786ba4cb2f180ca25cbf4'} +2024-10-30 06:05:12,539 - lightrag - INFO - get_node:query:MATCH (n:`THE FUTURE`) RETURN n:result:"The Future represents the potential outcomes of Scrooge’s life choices, depicted through the visions shown by the Spirits.""The Future refers to the outcomes that Scrooge may face based on his current actions, raising themes of choice and consequence.""The Future refers to the outcomes that Scrooge may face based on his current actions, raising themes of choice and consequence.""The Future refers to the outcomes that Scrooge may face based on his current actions, raising themes of choice and consequence."', 'source_id': 'chunk-91572b3cd42786ba4cb2f180ca25cbf4chunk-02baee20cc9463dbe08170a8e1043e32'}> +2024-10-30 06:05:12,674 - lightrag - INFO - _do_upsert:query: + MERGE (n:`THE FUTURE`) + SET n += $properties + RETURN n + :result:{'entity_type': '"CONCEPT"', 'description': '"The Future is represented as a realm of possibility and consequence that concerns Scrooge\'s fate and choices.""The Future represents the potential outcomes of Scrooge’s life choices, depicted through the visions shown by the Spirits.""The Future refers to the outcomes that Scrooge may face based on his current actions, raising themes of choice and consequence.""The Future refers to the outcomes that Scrooge may face based on his current actions, raising themes of choice and consequence.""The Future refers to the outcomes that Scrooge may face based on his current actions, raising themes of choice and consequence.""The Future refers to the outcomes that Scrooge may face based on his current actions, raising themes of choice and consequence."', 'source_id': 'chunk-91572b3cd42786ba4cb2f180ca25cbf4chunk-02baee20cc9463dbe08170a8e1043e32'} +2024-10-30 06:05:12,801 - lightrag - INFO - get_node:query:MATCH (n:`THE PAST`) RETURN n:result:"The Past reflects on Scrooge\'s earlier life choices and experiences that shaped who he has become.""The Past reflects on Scrooge\'s earlier life choices and experiences that shaped who he has become.""The Past reflects on Scrooge\'s earlier life choices and experiences that shaped who he has become."', 'source_id': 'chunk-91572b3cd42786ba4cb2f180ca25cbf4'}> +2024-10-30 06:05:12,936 - lightrag - INFO - _do_upsert:query: + MERGE (n:`THE PAST`) + SET n += $properties + RETURN n + :result:{'entity_type': '"CONCEPT"', 'description': '"The Past is a concept that reflects Scrooge\'s memories and previous actions that influence his current state and future decisions.""The Past reflects on Scrooge\'s earlier life choices and experiences that shaped who he has become.""The Past reflects on Scrooge\'s earlier life choices and experiences that shaped who he has become.""The Past reflects on Scrooge\'s earlier life choices and experiences that shaped who he has become.""The Past reflects on Scrooge\'s earlier life choices and experiences that shaped who he has become."', 'source_id': 'chunk-91572b3cd42786ba4cb2f180ca25cbf4'} +2024-10-30 06:05:13,067 - lightrag - INFO - get_node:query:MATCH (n:`THE PRESENT`) RETURN n:result:"The Present emphasizes the importance of living in the moment and embracing current opportunities for change.""The Present emphasizes the importance of living in the moment and embracing current opportunities for change.""The Present represents the current moment in Scrooge\'s life that he must recognize and change to achieve redemption."', 'source_id': 'chunk-91572b3cd42786ba4cb2f180ca25cbf4'}> +2024-10-30 06:05:13,202 - lightrag - INFO - _do_upsert:query: + MERGE (n:`THE PRESENT`) + SET n += $properties + RETURN n + :result:{'entity_type': '"CONCEPT"', 'description': '"The Present emphasizes the importance of living in the moment and embracing current opportunities for change.""The Present emphasizes the importance of living in the moment and embracing current opportunities for change.""The Present emphasizes the importance of living in the moment and embracing current opportunities for change.""The Present emphasizes the importance of living in the moment and embracing current opportunities for change.""The Present represents the current moment in Scrooge\'s life that he must recognize and change to achieve redemption."', 'source_id': 'chunk-91572b3cd42786ba4cb2f180ca25cbf4'} +2024-10-30 06:05:13,331 - lightrag - INFO - get_node:query:MATCH (n:`THE POULTERER'S`) RETURN n:result:"The Poulterer\'s is a shop mentioned by Scrooge, relevant in the context of his generous actions towards the Cratchit family.""The Poulterer\'s is a shop mentioned by Scrooge, relevant in the context of his generous actions towards the Cratchit family.""The Poulterer\'s is a shop where Scrooge intends to buy a turkey for the Cratchit family."', 'source_id': 'chunk-90b95db5c53e4364a6bee36b7aa4d70f'}> +2024-10-30 06:05:13,466 - lightrag - INFO - _do_upsert:query: + MERGE (n:`THE POULTERER'S`) + SET n += $properties + RETURN n + :result:{'entity_type': '"ORGANIZATION"', 'description': '"The Poulterer\'s is a shop mentioned by Scrooge, relevant in the context of his generous actions towards the Cratchit family.""The Poulterer\'s is a shop mentioned by Scrooge, relevant in the context of his generous actions towards the Cratchit family.""The Poulterer\'s is a shop mentioned by Scrooge, relevant in the context of his generous actions towards the Cratchit family.""The Poulterer\'s is a shop mentioned by Scrooge, relevant in the context of his generous actions towards the Cratchit family.""The Poulterer\'s is a shop where Scrooge intends to buy a turkey for the Cratchit family."', 'source_id': 'chunk-90b95db5c53e4364a6bee36b7aa4d70f'} +2024-10-30 06:05:13,598 - lightrag - INFO - get_node:query:MATCH (n:`THE SPIRITS`) RETURN n:result:"The Spirits represent the past, present, and future in Scrooge\'s life, guiding him toward redemption and self-reflection.""The Spirits represent the forces that guide Scrooge towards his transformation and are instrumental in his journey of redemption.""The Spirits represent the forces that guide Scrooge towards his transformation and are instrumental in his journey of redemption.""The Spirits represent the forces that guide Scrooge towards his transformation and are instrumental in his journey of redemption."', 'source_id': 'chunk-90b95db5c53e4364a6bee36b7aa4d70fchunk-cb661c37436355ccec2769b1d0350c5f'}> +2024-10-30 06:05:13,733 - lightrag - INFO - _do_upsert:query: + MERGE (n:`THE SPIRITS`) + SET n += $properties + RETURN n + :result:{'entity_type': '"CONCEPT"', 'description': '"The Spirits collectively represent the supernatural forces that seek to guide and teach Scrooge about the impact of his life choices.""The Spirits represent the past, present, and future in Scrooge\'s life, guiding him toward redemption and self-reflection.""The Spirits represent the forces that guide Scrooge towards his transformation and are instrumental in his journey of redemption.""The Spirits represent the forces that guide Scrooge towards his transformation and are instrumental in his journey of redemption.""The Spirits represent the forces that guide Scrooge towards his transformation and are instrumental in his journey of redemption.""The Spirits represent the forces that guide Scrooge towards his transformation and are instrumental in his journey of redemption."', 'source_id': 'chunk-cb661c37436355ccec2769b1d0350c5fchunk-90b95db5c53e4364a6bee36b7aa4d70f'} +2024-10-30 06:05:13,863 - lightrag - INFO - get_node:query:MATCH (n:`THE GHOST OF CHRISTMAS PRESENT`) RETURN n:result:"The Ghost of Christmas Present is a supernatural being that shows Scrooge the true spirit of Christmas, including kindness towards the poor.""The Ghost of Christmas Present signifies abundance and the spirit of joy that Scrooge is encouraged to embrace.""The Ghost of Christmas Present is one of the spirits that help Scrooge understand the importance of generosity and compassion during the festive season.""The Ghost of Christmas Present is one of the spirits that help Scrooge understand the importance of generosity and compassion during the festive season.""The Ghost of Christmas Present is one of the spirits that help Scrooge understand the importance of generosity and compassion during the festive season."', 'source_id': 'chunk-90b95db5c53e4364a6bee36b7aa4d70fchunk-43c9bee23adfa77aa9dedd22401bba7dchunk-b0f459f5af1c3a5e0b92cbe4ee48b77b'}> +2024-10-30 06:05:14,000 - lightrag - INFO - _do_upsert:query: + MERGE (n:`THE GHOST OF CHRISTMAS PRESENT`) + SET n += $properties + RETURN n + :result:{'entity_type': '"PERSON"', 'description': '"The Ghost of Christmas Present is a spirit that guides Scrooge through his memories and the joy of the present Christmas celebration.""The Ghost of Christmas Present is a supernatural being that shows Scrooge the true spirit of Christmas, including kindness towards the poor.""The Ghost of Christmas Present signifies abundance and the spirit of joy that Scrooge is encouraged to embrace.""The Ghost of Christmas Present is one of the spirits that help Scrooge understand the importance of generosity and compassion during the festive season.""The Ghost of Christmas Present is one of the spirits that help Scrooge understand the importance of generosity and compassion during the festive season.""The Ghost of Christmas Present is one of the spirits that help Scrooge understand the importance of generosity and compassion during the festive season.""The Ghost of Christmas Present is one of the spirits that help Scrooge understand the importance of generosity and compassion during the festive season."', 'source_id': 'chunk-43c9bee23adfa77aa9dedd22401bba7dchunk-b0f459f5af1c3a5e0b92cbe4ee48b77bchunk-90b95db5c53e4364a6bee36b7aa4d70f'} +2024-10-30 06:05:14,133 - lightrag - INFO - get_node:query:MATCH (n:`THE CHRISTMAS DINNER`) RETURN n:result: +2024-10-30 06:05:14,267 - lightrag - INFO - _do_upsert:query: + MERGE (n:`THE CHRISTMAS DINNER`) + SET n += $properties + RETURN n + :result:{'entity_type': '"EVENT"', 'description': '"The Christmas Dinner signifies the gathering of the Cratchit family, highlighting themes of togetherness and the warmth of family during the holiday season."', 'source_id': 'chunk-90b95db5c53e4364a6bee36b7aa4d70f'} +2024-10-30 06:05:14,394 - lightrag - INFO - get_node:query:MATCH (n:`THE STREET`) RETURN n:result:"The Street is the setting where Scrooge interacts with the boy and demonstrates his newfound generosity after his transformation.""The Street is the setting where Scrooge interacts with the boy and demonstrates his newfound generosity after his transformation.""The Street is where Mr. Scrooge\'s Nephew encounters Bob Cratchit, facilitating a significant moment of kindness in the narrative.""The Street represents the setting where Scrooge interacts with various characters and experiences joy, emphasizing the festive atmosphere.""The Street represents the setting where Scrooge interacts with various characters and experiences joy, emphasizing the festive atmosphere.""The Street represents the setting where Scrooge interacts with various characters and experiences joy, emphasizing the festive atmosphere."', 'source_id': 'chunk-90b95db5c53e4364a6bee36b7aa4d70fchunk-8f738cb25d60a7dab782162d9d0a25edchunk-1d4b58de5429cd1261370c231c8673e8'}> +2024-10-30 06:05:14,532 - lightrag - INFO - _do_upsert:query: + MERGE (n:`THE STREET`) + SET n += $properties + RETURN n + :result:{'entity_type': '"GEO"', 'description': '"The Street is the setting where Scrooge interacts with the boy and demonstrates his newfound generosity after his transformation.""The Street is the setting where Scrooge interacts with the boy and demonstrates his newfound generosity after his transformation.""The Street is the setting where Scrooge interacts with the boy and demonstrates his newfound generosity after his transformation.""The Street is the setting where Scrooge interacts with the boy and demonstrates his newfound generosity after his transformation.""The Street is where Mr. Scrooge\'s Nephew encounters Bob Cratchit, facilitating a significant moment of kindness in the narrative.""The Street represents the setting where Scrooge interacts with various characters and experiences joy, emphasizing the festive atmosphere.""The Street represents the setting where Scrooge interacts with various characters and experiences joy, emphasizing the festive atmosphere.""The Street represents the setting where Scrooge interacts with various characters and experiences joy, emphasizing the festive atmosphere.""The Street represents the setting where Scrooge interacts with various characters and experiences joy, emphasizing the festive atmosphere."', 'source_id': 'chunk-1d4b58de5429cd1261370c231c8673e8chunk-90b95db5c53e4364a6bee36b7aa4d70fchunk-8f738cb25d60a7dab782162d9d0a25ed'} +2024-10-30 06:05:14,665 - lightrag - INFO - get_node:query:MATCH (n:`THE BOY`) RETURN n:result:"The Boy is a young messenger who interacts with Scrooge during his purchase of the turkey.""The Boy represents innocence and curiosity, serving as a catalyst for Scrooge\'s generous act by purchasing the turkey.""The Boy represents innocence and curiosity, serving as a catalyst for Scrooge\'s generous act by purchasing the turkey.""The Boy represents innocence and curiosity, serving as a catalyst for Scrooge\'s generous act by purchasing the turkey."', 'source_id': 'chunk-90b95db5c53e4364a6bee36b7aa4d70fchunk-8f738cb25d60a7dab782162d9d0a25edchunk-8bc1edd983869352d14cf0886a9175a7'}> +2024-10-30 06:05:14,799 - lightrag - INFO - _do_upsert:query: + MERGE (n:`THE BOY`) + SET n += $properties + RETURN n + :result:{'entity_type': '"PERSON"', 'description': '"The Boy is a character mentioned briefly, who tries to hide behind another girl, indicating shyness among the festive crowd.""The Boy is a young messenger who interacts with Scrooge during his purchase of the turkey.""The Boy represents innocence and curiosity, serving as a catalyst for Scrooge\'s generous act by purchasing the turkey.""The Boy represents innocence and curiosity, serving as a catalyst for Scrooge\'s generous act by purchasing the turkey.""The Boy represents innocence and curiosity, serving as a catalyst for Scrooge\'s generous act by purchasing the turkey.""The Boy represents innocence and curiosity, serving as a catalyst for Scrooge\'s generous act by purchasing the turkey."', 'source_id': 'chunk-90b95db5c53e4364a6bee36b7aa4d70fchunk-8bc1edd983869352d14cf0886a9175a7chunk-8f738cb25d60a7dab782162d9d0a25ed'} +2024-10-30 06:05:14,933 - lightrag - INFO - get_node:query:MATCH (n:`THE TURKEY`) RETURN n:result:"The Turkey represents a key symbol of generosity and festivity during Christmas, as Scrooge purchases it to spread joy.""The Turkey symbolizes the generosity and festive spirit that Scrooge embraces following his transformation.""The Turkey represents a key symbol of generosity and festivity during Christmas, as Scrooge purchases it to spread joy.""The Turkey symbolizes the generosity and festive spirit that Scrooge embraces following his transformation.""The Turkey represents a key symbol of generosity and festivity during Christmas, as Scrooge purchases it to spread joy.""The Turkey symbolizes the generosity and festive spirit that Scrooge embraces following his transformation."', 'source_id': 'chunk-90b95db5c53e4364a6bee36b7aa4d70fchunk-8f738cb25d60a7dab782162d9d0a25ed'}> +2024-10-30 06:05:15,072 - lightrag - INFO - _do_upsert:query: + MERGE (n:`THE TURKEY`) + SET n += $properties + RETURN n + :result:{'entity_type': '"EVENT"', 'description': '"The Turkey is a large bird that Scrooge has humorously commented on sending to Bob, symbolizing generosity and Christmas spirit.""The Turkey represents a key symbol of generosity and festivity during Christmas, as Scrooge purchases it to spread joy.""The Turkey symbolizes the generosity and festive spirit that Scrooge embraces following his transformation.""The Turkey represents a key symbol of generosity and festivity during Christmas, as Scrooge purchases it to spread joy.""The Turkey symbolizes the generosity and festive spirit that Scrooge embraces following his transformation.""The Turkey represents a key symbol of generosity and festivity during Christmas, as Scrooge purchases it to spread joy.""The Turkey symbolizes the generosity and festive spirit that Scrooge embraces following his transformation.""The Turkey represents a key symbol of generosity and festivity during Christmas, as Scrooge purchases it to spread joy.""The Turkey symbolizes the generosity and festive spirit that Scrooge embraces following his transformation."', 'source_id': 'chunk-90b95db5c53e4364a6bee36b7aa4d70fchunk-8f738cb25d60a7dab782162d9d0a25ed'} +2024-10-30 06:05:15,206 - lightrag - INFO - get_node:query:MATCH (n:`THE OLD GENTLEMAN`) RETURN n:result: +2024-10-30 06:05:15,340 - lightrag - INFO - _do_upsert:query: + MERGE (n:`THE OLD GENTLEMAN`) + SET n += $properties + RETURN n + :result:{'entity_type': '"PERSON"', 'description': '"The Old Gentleman is a character with whom Scrooge interacts, showcasing the themes of kindness and forgiveness."', 'source_id': 'chunk-8f738cb25d60a7dab782162d9d0a25ed'} +2024-10-30 06:05:15,470 - lightrag - INFO - get_node:query:MATCH (n:`BOB`) RETURN n:result:"Bob is referenced humorously by Scrooge in the context of a joke regarding a large turkey.""Bob is likely referenced as a character who may receive the turkey sent by Scrooge, highlighting the theme of generosity.""Bob is likely referenced as a character who may receive the turkey sent by Scrooge, highlighting the theme of generosity.""Bob is likely referenced as a character who may receive the turkey sent by Scrooge, highlighting the theme of generosity."', 'source_id': 'chunk-8f738cb25d60a7dab782162d9d0a25edchunk-91572b3cd42786ba4cb2f180ca25cbf4'}> +2024-10-30 06:05:15,609 - lightrag - INFO - _do_upsert:query: + MERGE (n:`BOB`) + SET n += $properties + RETURN n + :result:{'entity_type': '"PERSON"', 'description': '"Bob is a character who reflects on the importance of unity and remembering Tiny Tim among his family.""Bob is referenced humorously by Scrooge in the context of a joke regarding a large turkey.""Bob is likely referenced as a character who may receive the turkey sent by Scrooge, highlighting the theme of generosity.""Bob is likely referenced as a character who may receive the turkey sent by Scrooge, highlighting the theme of generosity.""Bob is likely referenced as a character who may receive the turkey sent by Scrooge, highlighting the theme of generosity.""Bob is likely referenced as a character who may receive the turkey sent by Scrooge, highlighting the theme of generosity."', 'source_id': 'chunk-91572b3cd42786ba4cb2f180ca25cbf4chunk-8f738cb25d60a7dab782162d9d0a25ed'} +2024-10-30 06:05:15,742 - lightrag - INFO - get_node:query:MATCH (n:`THE CAB`) RETURN n:result: +2024-10-30 06:05:15,870 - lightrag - INFO - _do_upsert:query: + MERGE (n:`THE CAB`) + SET n += $properties + RETURN n + :result:{'entity_type': '"EVENT"', 'description': '"The Cab is an event associated with transporting the turkey, illustrating the lengths to which Scrooge is willing to go to share joy."', 'source_id': 'chunk-8f738cb25d60a7dab782162d9d0a25ed'} +2024-10-30 06:05:15,995 - lightrag - INFO - get_node:query:MATCH (n:`THE KITCHEN`) RETURN n:result: +2024-10-30 06:05:16,128 - lightrag - INFO - _do_upsert:query: + MERGE (n:`THE KITCHEN`) + SET n += $properties + RETURN n + :result:{'entity_type': '"GEO"', 'description': '"The Kitchen is a location that Scrooge looks into, symbolizing warmth, family, and the spirit of hospitality during the holiday season."', 'source_id': 'chunk-8f738cb25d60a7dab782162d9d0a25ed'} +2024-10-30 06:05:16,255 - lightrag - INFO - get_node:query:MATCH (n:`MISTRESS`) RETURN n:result: +2024-10-30 06:05:16,390 - lightrag - INFO - _do_upsert:query: + MERGE (n:`MISTRESS`) + SET n += $properties + RETURN n + :result:{'entity_type': '"PERSON"', 'description': '"Mistress is referenced in relation to Fred, indicating the presence of family dynamics during the Christmas celebration."', 'source_id': 'chunk-8f738cb25d60a7dab782162d9d0a25ed'} +2024-10-30 06:05:16,521 - lightrag - INFO - get_node:query:MATCH (n:`THE FAMILY`) RETURN n:result: +2024-10-30 06:05:16,655 - lightrag - INFO - _do_upsert:query: + MERGE (n:`THE FAMILY`) + SET n += $properties + RETURN n + :result:{'entity_type': '"ORGANIZATION"', 'description': '"The Family includes Bob Cratchit and his loved ones, who represent themes of togetherness and support during Christmas."', 'source_id': 'chunk-94bea83e7153fc2064aa382b494936a1'} +2024-10-30 06:05:16,783 - lightrag - INFO - get_node:query:MATCH (n:`THE TANK`) RETURN n:result:"The Tank is the workplace setting where Bob Cratchit works under Scrooge, highlighting the power dynamics in their relationship.""The Tank is the workplace setting where Bob Cratchit works under Scrooge, highlighting the power dynamics in their relationship.""The Tank refers to Bob Cratchit\'s work area, where he encounters Scrooge and faces the consequences of arriving late."', 'source_id': 'chunk-94bea83e7153fc2064aa382b494936a1'}> +2024-10-30 06:05:16,919 - lightrag - INFO - _do_upsert:query: + MERGE (n:`THE TANK`) + SET n += $properties + RETURN n + :result:{'entity_type': '"LOCATION"', 'description': '"The Tank is the workplace setting where Bob Cratchit works under Scrooge, highlighting the power dynamics in their relationship.""The Tank is the workplace setting where Bob Cratchit works under Scrooge, highlighting the power dynamics in their relationship.""The Tank is the workplace setting where Bob Cratchit works under Scrooge, highlighting the power dynamics in their relationship.""The Tank is the workplace setting where Bob Cratchit works under Scrooge, highlighting the power dynamics in their relationship.""The Tank refers to Bob Cratchit\'s work area, where he encounters Scrooge and faces the consequences of arriving late."', 'source_id': 'chunk-94bea83e7153fc2064aa382b494936a1'} +2024-10-30 06:05:17,051 - lightrag - INFO - get_node:query:MATCH (n:`SMOKING BISHOP`) RETURN n:result: +2024-10-30 06:05:17,184 - lightrag - INFO - _do_upsert:query: + MERGE (n:`SMOKING BISHOP`) + SET n += $properties + RETURN n + :result:{'entity_type': '"CONCEPT"', 'description': '"Smoking Bishop is a traditional Christmas drink mentioned in the context of Scrooge and Bob\'s plans to celebrate together, symbolizing festive cheer."', 'source_id': 'chunk-94bea83e7153fc2064aa382b494936a1'} +2024-10-30 06:05:17,314 - lightrag - INFO - get_node:query:MATCH (n:`THE FOUNDATION`) RETURN n:result:"The Foundation, also known as the Project Gutenberg Literary Archive Foundation, owns the compilation copyright in the collection of Project Gutenberg electronic works.""The Foundation, also known as the Project Gutenberg Literary Archive Foundation, owns the compilation copyright in the collection of Project Gutenberg electronic works.""The Foundation, referred to as the Project Gutenberg Literary Archive Foundation, owns the compilation copyright of Project Gutenberg\'s collection."', 'source_id': 'chunk-194cd9680f4967f48bea89678f7ece21'}> +2024-10-30 06:05:17,452 - lightrag - INFO - _do_upsert:query: + MERGE (n:`THE FOUNDATION`) + SET n += $properties + RETURN n + :result:{'entity_type': '"ORGANIZATION"', 'description': '"The Foundation, also known as the Project Gutenberg Literary Archive Foundation, owns the compilation copyright in the collection of Project Gutenberg electronic works.""The Foundation, also known as the Project Gutenberg Literary Archive Foundation, owns the compilation copyright in the collection of Project Gutenberg electronic works.""The Foundation, also known as the Project Gutenberg Literary Archive Foundation, owns the compilation copyright in the collection of Project Gutenberg electronic works.""The Foundation, also known as the Project Gutenberg Literary Archive Foundation, owns the compilation copyright in the collection of Project Gutenberg electronic works.""The Foundation, referred to as the Project Gutenberg Literary Archive Foundation, owns the compilation copyright of Project Gutenberg\'s collection."', 'source_id': 'chunk-194cd9680f4967f48bea89678f7ece21'} +2024-10-30 06:05:17,585 - lightrag - INFO - get_node:query:MATCH (n:`TRANSCRIBER'S NOTE`) RETURN n:result:"The Transcriber\'s note indicates additional information provided by the transcriber of the Project Gutenberg eBook.""The Transcriber\'s note indicates additional information provided by the transcriber of the Project Gutenberg eBook.""Transcriber\'s Note refers to the added content by the transcriber, indicating additional information or context regarding the work."', 'source_id': 'chunk-194cd9680f4967f48bea89678f7ece21'}> +2024-10-30 06:05:17,729 - lightrag - INFO - _do_upsert:query: + MERGE (n:`TRANSCRIBER'S NOTE`) + SET n += $properties + RETURN n + :result:{'entity_type': '"EVENT"', 'description': '"The Transcriber\'s note indicates additional information provided by the transcriber of the Project Gutenberg eBook.""The Transcriber\'s note indicates additional information provided by the transcriber of the Project Gutenberg eBook.""The Transcriber\'s note indicates additional information provided by the transcriber of the Project Gutenberg eBook.""The Transcriber\'s note indicates additional information provided by the transcriber of the Project Gutenberg eBook.""Transcriber\'s Note refers to the added content by the transcriber, indicating additional information or context regarding the work."', 'source_id': 'chunk-194cd9680f4967f48bea89678f7ece21'} +2024-10-30 06:05:17,860 - 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He actively participates in the festive meal preparation, expressing excitement about dressing up and contributing to the family's Christmas celebration. As a member of the Cratchit family, Peter embodies the joy and unity of the household, particularly highlighted during their interactions surrounding Tiny Tim, his ailing younger brother. Additionally, Peter is portrayed as contemplative regarding his future, considering a potential job opportunity. 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CRATCHIT`) + SET n += $properties + RETURN n + :result:{'entity_type': '"PERSON"', 'description': "Mrs. Cratchit is Bob Cratchit's devoted and hardworking wife, who plays a vital role in nurturing their family. She is characterized by her strong dedication to creating a joyous atmosphere in their home, despite the financial difficulties they face. As the mother of the Cratchit family, Mrs. Cratchit is nurturing and energetic, diligently managing Christmas preparations and ensuring that her children are well taken care of.\n\nProud of her cooking skills, particularly her Christmas pudding, Mrs. Cratchit showcases her commitment to family traditions. During the holiday festivities, she is actively involved, embodying warmth and resilience as she prepares meals and engages in celebrations that lift her family’s spirits. Her love for her family is evident as she expresses concern for her children, especially Tiny Tim, whose health brings emotional depth to their Christmas gathering.\n\nWhile she is portrayed as outspoken and harboring resentment towards Scrooge, she ultimately puts aside her feelings to fully participate in the Christmas festivities for the sake of her family. Her character embodies a blend of strength and vulnerability, reflecting both her pride and her struggles, and she remains a pivotal figure in the family's emotional dynamics during the holiday season.", 'source_id': 'chunk-1d4b58de5429cd1261370c231c8673e8chunk-7e2e7ebcc19a53b399dc03aded4743e7chunk-503f0bfa5453467c7c61d160a3540ecachunk-19d72c57ae3408758b18d2568e86dc6bchunk-9e3921da66da5d761ab73cd849af6c43chunk-b0f459f5af1c3a5e0b92cbe4ee48b77bchunk-91572b3cd42786ba4cb2f180ca25cbf4'} +2024-10-30 06:05:34,222 - lightrag - INFO - _do_upsert:query: + MERGE (n:`CHRISTMAS`) + SET n += $properties + RETURN n + :result:{'entity_type': '"EVENT"', 'description': 'Christmas is a significant and festive season that embodies themes of joy, love, generosity, and community, playing a crucial role in the narrative, particularly through the experiences of the Cratchit family and Ebenezer Scrooge. It is depicted as a time for family togetherness, celebration, and emotional reflection. For the Cratchit family, Christmas is a period marked by warmth, gratitude, and merriment, creating cherished memories despite their modest circumstances.\n\nIn contrast, Scrooge initially approaches Christmas with cynicism, referring to it dismissively as a "humbug" and rejecting the joy and goodwill that the season represents. His cold demeanor and disdain starkly oppose the spirit of generosity and community that permeates the holiday. The narrative emphasizes Christmas as a time of celebration and change, showcasing social responsibility and the importance of emotional connections within a community.\n\nChristmas serves as the backdrop for Scrooge\'s transformation, compelling him to confront his neglected relationships and past choices, which is integral to his character development. It is also associated with his Nephew, who passionately advocates for the holiday, further highlighting the contrast with Scrooge\'s cynical views.\n\nAs the story progresses, Christmas symbolizes redemption and change for Scrooge, who ultimately embraces the holiday\'s spirit of goodwill and abandons his bitterness. The festive occasion emerges as a pivotal element that reinforces exploration of redemption, generosity, and the transformative power of love and community. Joyful scenes of people celebrating, dancing, and engaging in festive activities sharply contrast with Scrooge\'s earlier solitude and disdain, underscoring the profound influence of Christmas on the thoughts and behaviors of all characters involved.', 'source_id': 'chunk-90d5764e301321c087f5a8f78b73a145chunk-5dac41b3f9eeaf794f0147400b1718cdchunk-8f738cb25d60a7dab782162d9d0a25edchunk-89777b838d5447c7bd1ec11282c4ee89chunk-8590d9263cd2cd4fa583c432fc54e6c3chunk-94bea83e7153fc2064aa382b494936a1chunk-91614df5cb74cbe5e109a338a82041e9chunk-43c9bee23adfa77aa9dedd22401bba7dchunk-773d0df1dd25c356f7b771d780583e09chunk-e7637ff18c5ded77a68cce0a87883fadchunk-da2472b4ef2a535b62908f14d0fb0ca9chunk-54bdd22db1f84a965b5f4c06c9216d8dchunk-74e2466de2f67fd710ef2f20c0a8d9e0chunk-99b0ec7f7e006561352b5d65e849611dchunk-1d4b58de5429cd1261370c231c8673e8chunk-91572b3cd42786ba4cb2f180ca25cbf4chunk-c6c248858d1b13ab7ee9ca13c1aeed6bchunk-503f0bfa5453467c7c61d160a3540ecachunk-02baee20cc9463dbe08170a8e1043e32'} +2024-10-30 06:05:34,543 - lightrag - INFO - _do_upsert:query: + MERGE (n:`JACOB MARLEY`) + SET n += $properties + RETURN n + :result:{'entity_type': '"PERSON"', 'description': "Jacob Marley is Scrooge's deceased business partner, who appears as a ghost, prominently wearing chains that symbolize the burdens of his past misdeeds and the weight of his regrets. As a spirit, Marley plays a pivotal role in influencing Ebenezer Scrooge's journey toward redemption. He visits Scrooge to convey significant messages about the dire consequences of a life devoid of compassion and the critical importance of charity and kindness.\n\nMarley's haunting presence serves as a warning to Scrooge about his impending fate if he continues on his selfish and isolated path. He is depicted as showing genuine concern for Scrooge's welfare and the necessity for transformative change in his life. Through his visitation, Marley acts as a catalyst, compelling Scrooge to reflect on his past actions and their impact on others. His connection to Scrooge's history reinforces the themes of redemption and personal responsibility, emphasizing the potential for transformation and renewal in the face of prior wrongdoings. Ultimately, Jacob Marley's spirit not only acts as a reminder of the consequences of one's choices but also highlights the possibility of change and growth through self-awareness and connection to humanity.", 'source_id': 'chunk-1aa50206d02ed89418f65f97c6441d1cchunk-cb661c37436355ccec2769b1d0350c5fchunk-da2472b4ef2a535b62908f14d0fb0ca9chunk-90b95db5c53e4364a6bee36b7aa4d70fchunk-359187e7571bda4b0b08b2e0b6581e52chunk-02baee20cc9463dbe08170a8e1043e32chunk-91572b3cd42786ba4cb2f180ca25cbf4'} +2024-10-30 06:05:34,720 - lightrag - INFO - _do_upsert:query: + MERGE (n:`SPIRIT`) + SET n += $properties + RETURN n + :result:{'entity_type': '"EVENT"', 'description': 'The "Spirit" represents a multifaceted supernatural entity that plays a crucial role in guiding Ebenezer Scrooge through profound reflections on his life, death, and human emotions. Central to the narrative is the Spirit\'s embodiment of the essence of Marley, which interacts with Scrooge to highlight themes related to the afterlife and unresolved issues. The Spirit manifests as various figures, most notably the Ghost of Christmas Present, who personifies the themes of generosity, merriment, and the true spirit of the Christmas season.\n\nThroughout Scrooge\'s journey, the Spirit serves as a guide, leading him through memories of his past, reflecting his former self and the influence of time on his character. The entity illustrates important lessons about compassion, social responsibility, and the consequences of his actions, urging Scrooge to confront societal issues and fostering self-awareness.\n\nThe Spirit also emphasizes the somber aspects of life, illustrating lessons about mortality and the inevitability of death, prompting Scrooge to reflect on the implications of his life choices. Overall, the Spirit encapsulates the intersection of compassion, humanity, and the moral lessons inherent in the experience of life, serving as a catalyst for Scrooge\'s transformation and awakening.', 'source_id': 'chunk-1aa50206d02ed89418f65f97c6441d1cchunk-e7637ff18c5ded77a68cce0a87883fadchunk-843b5b2f944c7413d9ca876e2e2f151fchunk-83ac129dc9b56f84c46760d153d68e93chunk-02baee20cc9463dbe08170a8e1043e32chunk-bb21d58d36c6306fd8810ddd51c4a971'} +2024-10-30 06:05:34,912 - lightrag - INFO - _do_upsert:query: + MERGE (n:`THE GHOST`) + SET n += $properties + RETURN n + :result:{'entity_type': '"EVENT"', 'description': "The Ghost is a crucial supernatural being in the narrative of Ebenezer Scrooge, playing a significant role in his transformative journey. Described as a strange figure that embodies qualities of both a child and an old man, The Ghost represents supernatural intervention in Scrooge's life and serves as a catalyst for self-reflection and moral realization. This spectral manifestation is identified as the apparition of Jacob Marley, who instills a sense of dread in Scrooge while delivering an important message about the repercussions of his actions and the necessity for change.\n\nThroughout their encounters, The Ghost guides Scrooge by revealing various scenes from his past, which evoke poignant emotions and highlight the joys of family and the significance of Christmas. It emphasizes key themes of redemption, kindness, and the emotional consequences of one's actions, urging Scrooge to confront his past and reconsider his life choices. This guidance underscores the importance of human virtue and the need for compassion towards others.\n\nUltimately, The Ghost acts as a guiding presence that influences Scrooge's emotional state and facilitates his journey toward redemption. By facing his past and opening himself to the lessons imparted by The Ghost, Scrooge begins to understand the value of kindness and the severe consequences of neglecting these moral principles throughout his life. In summary, The Ghost is a vital figure in Scrooge's transformation, encapsulating the overarching themes of change, redemption, and moral lessons.", 'source_id': 'chunk-9c43dac2fcd5b578242d907ea6f8fc7bchunk-cb661c37436355ccec2769b1d0350c5fchunk-8590d9263cd2cd4fa583c432fc54e6c3chunk-1aa50206d02ed89418f65f97c6441d1cchunk-e7637ff18c5ded77a68cce0a87883fadchunk-da2472b4ef2a535b62908f14d0fb0ca9chunk-54bdd22db1f84a965b5f4c06c9216d8dchunk-83ac129dc9b56f84c46760d153d68e93chunk-c7b10789a9cb0af6c553730b29bd9034chunk-359187e7571bda4b0b08b2e0b6581e52chunk-02baee20cc9463dbe08170a8e1043e32chunk-43c9bee23adfa77aa9dedd22401bba7dchunk-c6c248858d1b13ab7ee9ca13c1aeed6b'} +2024-10-30 06:05:35,093 - lightrag - INFO - _do_upsert:query: + MERGE (n:`SCROOGE`) + SET n += $properties + RETURN n + :result:{'entity_type': '"PERSON"', 'description': 'Scrooge is a central character in the narrative, initially depicted as a miserly, cold-hearted individual characterized by greed and a disdain for Christmas. Often referred to negatively as the "Ogre of the family" or a "tight-fisted old man," Scrooge exemplifies a lack of compassion for others and a reluctance to engage in charitable acts, reflecting his solitary nature and indifference to the festive spirit.\n\nThe turning point in Scrooge\'s journey occurs with a haunting visit from the ghost of his former business partner, Jacob Marley. This encounter serves as a warning of the dire consequences of his actions and sets off a series of supernatural visits from three spirits, which guide Scrooge through his past, present, and future. During these encounters, Scrooge experiences horror, agitation, and regret, particularly as he grapples with the implications of his miserliness and recalls lonely moments from his childhood.\n\nThrough his interactions with the spirits, Scrooge witnesses both joy and sorrow, becoming especially affected by the plight of the Cratchit family and Tiny Tim. These reflections ignite feelings of grief and a longing for connection, prompting him to recognize his mortality and the far-reaching impact of his life choices on those around him. This emotional struggle fosters a conflict between Scrooge\'s prior skepticism about the supernatural and a developing capacity for empathy.\n\nUltimately, by the conclusion of the story, Scrooge undergoes a profound transformation. Emerging from his encounters with a newfound sense of joy and commitment to kindness, he fully embraces the spirit of Christmas and strives to positively influence the lives of those around him, particularly his employee Bob Cratchit and his family. Scrooge\'s evolution from a grumpy, indifferent man to one filled with goodwill encapsulates the narrative\'s themes of redemption, compassion, and community, demonstrating that change is not only possible, but that love and generosity can triumph over isolation and greed.', 'source_id': 'chunk-1aa50206d02ed89418f65f97c6441d1cchunk-90d5764e301321c087f5a8f78b73a145chunk-90b95db5c53e4364a6bee36b7aa4d70fchunk-5dac41b3f9eeaf794f0147400b1718cdchunk-d9aac3484185ac66045df92214d245d5chunk-359187e7571bda4b0b08b2e0b6581e52chunk-8f738cb25d60a7dab782162d9d0a25edchunk-89777b838d5447c7bd1ec11282c4ee89chunk-b2f98bc7abb0c67d4c86055c7fd72218chunk-cb661c37436355ccec2769b1d0350c5fchunk-8590d9263cd2cd4fa583c432fc54e6c3chunk-94bea83e7153fc2064aa382b494936a1chunk-83ac129dc9b56f84c46760d153d68e93chunk-91614df5cb74cbe5e109a338a82041e9chunk-19d72c57ae3408758b18d2568e86dc6bchunk-c7b10789a9cb0af6c553730b29bd9034chunk-bb21d58d36c6306fd8810ddd51c4a971chunk-43c9bee23adfa77aa9dedd22401bba7dchunk-f1a4fbcf1ed86864b9bfd5e8dba4c683chunk-773d0df1dd25c356f7b771d780583e09chunk-e7637ff18c5ded77a68cce0a87883fadchunk-da2472b4ef2a535b62908f14d0fb0ca9chunk-54bdd22db1f84a965b5f4c06c9216d8dchunk-74e2466de2f67fd710ef2f20c0a8d9e0chunk-99b0ec7f7e006561352b5d65e849611dchunk-91572b3cd42786ba4cb2f180ca25cbf4chunk-c6c248858d1b13ab7ee9ca13c1aeed6bchunk-9c43dac2fcd5b578242d907ea6f8fc7bchunk-843b5b2f944c7413d9ca876e2e2f151fchunk-e1f29eeadc1d8ab46dc8a0bbd3c56b64chunk-503f0bfa5453467c7c61d160a3540ecachunk-02baee20cc9463dbe08170a8e1043e32chunk-b0f459f5af1c3a5e0b92cbe4ee48b77b'} +2024-10-30 06:05:35,265 - lightrag - INFO - _do_upsert:query: + MERGE (n:`BOB CRATCHIT`) + SET n += $properties + RETURN n + :result:{'entity_type': '"PERSON"', 'description': 'Bob Cratchit is a significant character in Charles Dickens\' "A Christmas Carol," serving as Ebenezer Scrooge\'s dedicated clerk. He is depicted as a struggling yet loving family man who embodies the challenges faced by the working class, highlighting the importance of family in the narrative. Despite enduring low wages, Cratchit demonstrates warmth and joy during the Christmas season, striving to maintain a positive atmosphere at home amidst financial hardships.\n\nAs the father of Tiny Tim and head of the Cratchit family, Bob exemplifies deep familial love and concern. He is characterized by his kindness and emotional depth, caring for his children and expressing affection for them, particularly during family celebrations. His happiness during the festive season underscores his duty as a father and husband, showcasing his resilience in the face of adversity.\n\nCratchit’s late arrival to work after Christmas illustrates his anxiety about Scrooge, which contrasts with the newfound generosity Scrooge begins to show him. This contrast further emphasizes Cratchit\'s positive demeanor, which remains unwavering despite his struggles. The warmth of the Cratchit household, particularly during their Christmas dinner, sharply contrasts with Scrooge\'s initial miserly attitude, highlighting the spirit of joy that Cratchit embodies.\n\nOverall, Bob Cratchit is not only a devoted father and husband but also a poignant symbol of resilience, hope, and the profound significance of family within the narrative, making him a compelling and heartwarming figure in "A Christmas Carol."', 'source_id': 'chunk-1d4b58de5429cd1261370c231c8673e8chunk-94bea83e7153fc2064aa382b494936a1chunk-90b95db5c53e4364a6bee36b7aa4d70fchunk-83ac129dc9b56f84c46760d153d68e93chunk-7e2e7ebcc19a53b399dc03aded4743e7chunk-503f0bfa5453467c7c61d160a3540ecachunk-19d72c57ae3408758b18d2568e86dc6bchunk-9e3921da66da5d761ab73cd849af6c43chunk-d9aac3484185ac66045df92214d245d5chunk-b0f459f5af1c3a5e0b92cbe4ee48b77bchunk-91572b3cd42786ba4cb2f180ca25cbf4'} +2024-10-30 06:05:35,696 - lightrag - INFO - _do_upsert:query: + MERGE (n:`TINY TIM`) + SET n += $properties + RETURN n + :result:{'entity_type': '"PERSON"', 'description': 'Tiny Tim, whose real name is Tim Cratchit, is a poignant character in Charles Dickens\' "A Christmas Carol." He is depicted as the youngest son of Bob Cratchit and symbolizes hope, innocence, and resilience amidst the hardships faced by the Cratchit family, who struggle with poverty and illness. Tiny Tim is characterized by his frail health and is described as a cripple; despite this, he possesses a joyful spirit and maintains an optimistic outlook, serving as a source of joy for those around him.\n\nTiny Tim\'s well-being is central to the emotional landscape of the Cratchit family, representing their hopes for a better future and the love that bonds them together. His presence reminds others of the challenges posed by illness and poverty, evoking compassion, particularly from Ebenezer Scrooge, who transforms from a miser into a more generous figure through his reflections on Tiny Tim\'s situation.\n\nThe character is often referenced by Scrooge and serves as a symbol of innocence and the spirit of Christmas. Tiny Tim participates in festive celebrations, such as the Christmas toast, displaying his ability to embody the true essence of the holiday season despite his family\'s struggles. Cherished by his father, Bob Cratchit, and his family, Tiny Tim reinforces the narrative\'s themes of family, generosity, and the transformative power of kindness.\n\nUltimately, Tiny Tim leaves a lasting impression on both the characters within the story and the readers, encapsulating the themes of hope and renewal that resonate throughout "A Christmas Carol." His legacy is not only of innocence and vulnerability but also of the indomitable spirit that inspires hope in times of adversity.', 'source_id': 'chunk-94bea83e7153fc2064aa382b494936a1chunk-90b95db5c53e4364a6bee36b7aa4d70fchunk-83ac129dc9b56f84c46760d153d68e93chunk-7e2e7ebcc19a53b399dc03aded4743e7chunk-19d72c57ae3408758b18d2568e86dc6bchunk-503f0bfa5453467c7c61d160a3540ecachunk-9e3921da66da5d761ab73cd849af6c43chunk-8f738cb25d60a7dab782162d9d0a25edchunk-1d4b58de5429cd1261370c231c8673e8chunk-91572b3cd42786ba4cb2f180ca25cbf4'} +2024-10-30 06:05:35,891 - lightrag - INFO - _check_edge_existence:query:MATCH (a:`A CHRISTMAS CAROL`)-[r]-(b:`PROJECT GUTENBERG`) RETURN COUNT(r) > 0 AS edgeExists:result:True +2024-10-30 06:05:36,029 - lightrag - INFO - get_edge:query: + MATCH (source:`A CHRISTMAS CAROL`)-[r]-(target:`PROJECT GUTENBERG`) + RETURN r + :result:, ) type='DIRECTED' properties={'keywords': '"publication, accessibility"', 'description': '"A Christmas Carol is published and distributed freely through Project Gutenberg, making it accessible to a global audience."', 'weight': 9.0, 'source_id': 'chunk-9e3921da66da5d761ab73cd849af6c43'}> +2024-10-30 06:05:36,169 - lightrag - INFO - _check_edge_existence:query:MATCH (a:`A CHRISTMAS CAROL`)-[r]-(b:`CHARLES DICKENS`) RETURN COUNT(r) > 0 AS edgeExists:result:True +2024-10-30 06:05:36,302 - lightrag - INFO - get_edge:query: + MATCH (source:`A CHRISTMAS CAROL`)-[r]-(target:`CHARLES DICKENS`) + RETURN r + :result:, ) type='DIRECTED' properties={'keywords': '"author, literary impact"', 'description': '"Charles Dickens authored A Christmas Carol, which reflects his views on Victorian society and social issues."', 'weight': 10.0, 'source_id': 'chunk-9e3921da66da5d761ab73cd849af6c43'}> +2024-10-30 06:05:36,439 - lightrag - INFO - _check_edge_existence:query:MATCH (a:`A CHRISTMAS CAROL`)-[r]-(b:`ARTHUR RACKHAM`) RETURN COUNT(r) > 0 AS edgeExists:result:True +2024-10-30 06:05:36,582 - lightrag - INFO - get_edge:query: + MATCH (source:`A CHRISTMAS CAROL`)-[r]-(target:`ARTHUR RACKHAM`) + RETURN r + :result:, ) type='DIRECTED' properties={'keywords': '"illustration, artistic contribution"', 'description': '"Arthur Rackham illustrated A Christmas Carol, enhancing the visual experience of Dickens\' narrative."', 'weight': 8.0, 'source_id': 'chunk-9e3921da66da5d761ab73cd849af6c43'}> +2024-10-30 06:05:36,723 - lightrag - INFO - _check_edge_existence:query:MATCH (a:`BOB CRATCHIT`)-[r]-(b:`EBENEZER SCROOGE`) RETURN COUNT(r) > 0 AS edgeExists:result:True +2024-10-30 06:05:36,862 - lightrag - INFO - get_edge:query: + MATCH (source:`BOB CRATCHIT`)-[r]-(target:`EBENEZER SCROOGE`) + RETURN r + :result:, ) type='DIRECTED' properties={'keywords': '"workplace dynamics, social contrast"', 'description': '"Bob Cratchit works for Ebenezer Scrooge, embodying the struggles of the working class in contrast to Scrooge\'s miserliness."', 'weight': 7.0, 'source_id': 'chunk-9e3921da66da5d761ab73cd849af6c43'}> +2024-10-30 06:05:37,001 - lightrag - INFO - _check_edge_existence:query:MATCH (a:`BOB CRATCHIT`)-[r]-(b:`TINY TIM`) RETURN COUNT(r) > 0 AS edgeExists:result:True +2024-10-30 06:05:37,135 - lightrag - INFO - get_edge:query: + MATCH (source:`BOB CRATCHIT`)-[r]-(target:`TINY TIM`) + RETURN r + :result:, ) type='DIRECTED' properties={'keywords': '"family bond, care""family bond, love""family love, vulnerability""family, struggle""family, support""father-son bond, care"', 'description': '"Bob Cratchit deeply cares for Tiny Tim, demonstrating emotional support and love, especially in moments of distress.""Bob Cratchit expresses love and concern for his son Tiny Tim during the Christmas dinner, highlighting a strong familial bond.""Bob Cratchit is Tiny Tim\'s father, and the turkey Scrooge plans to send will impact Tiny Tim\'s well-being.""Bob Cratchit is Tiny Tim\'s father, and their relationship highlights the theme of family struggle and love, especially during Christmas.""Bob Cratchit shows deep care for Tiny Tim, helping him and expressing pride in his strength and character despite challenges.""Bob Cratchit\'s concern for Tiny Tim illustrates the deep familial love and the challenges facing the Cratchit family."', 'weight': 48.0, 'source_id': 'chunk-83ac129dc9b56f84c46760d153d68e93chunk-503f0bfa5453467c7c61d160a3540ecachunk-1d4b58de5429cd1261370c231c8673e8chunk-90b95db5c53e4364a6bee36b7aa4d70fchunk-94bea83e7153fc2064aa382b494936a1chunk-7e2e7ebcc19a53b399dc03aded4743e7'}> +2024-10-30 06:05:37,276 - lightrag - INFO - _check_edge_existence:query:MATCH (a:`EBENEZER SCROOGE`)-[r]-(b:`MR. FEZZIWIG`) RETURN COUNT(r) > 0 AS edgeExists:result:True +2024-10-30 06:05:37,408 - lightrag - INFO - get_edge:query: + MATCH (source:`EBENEZER SCROOGE`)-[r]-(target:`MR. FEZZIWIG`) + RETURN r + :result:, ) type='DIRECTED' properties={'keywords': '"contrast, influence"', 'description': '"Mr. Fezziwig represents a contrast to Ebenezer Scrooge\'s character, showing kindness and generosity in business."', 'weight': 7.0, 'source_id': 'chunk-9e3921da66da5d761ab73cd849af6c43'}> +2024-10-30 06:05:37,552 - lightrag - INFO - _check_edge_existence:query:MATCH (a:`GHOST OF CHRISTMAS PAST`)-[r]-(b:`SCROOGE`) RETURN COUNT(r) > 0 AS edgeExists:result:True +2024-10-30 06:05:37,685 - lightrag - INFO - get_edge:query: + MATCH (source:`GHOST OF CHRISTMAS PAST`)-[r]-(target:`SCROOGE`) + RETURN r + :result:, ) type='DIRECTED' properties={'keywords': '"reflection, past influence"', 'description': '"Scrooge engages with the Ghost of Christmas Past to explore his earlier life, seeking insight into his current state."', 'weight': 8.0, 'source_id': 'chunk-bb21d58d36c6306fd8810ddd51c4a971'}> +2024-10-30 06:05:37,824 - lightrag - INFO - _check_edge_existence:query:MATCH (a:`GHOST OF CHRISTMAS PRESENT`)-[r]-(b:`SCROOGE`) RETURN COUNT(r) > 0 AS edgeExists:result:True +2024-10-30 06:05:37,961 - lightrag - INFO - get_edge:query: + MATCH (source:`GHOST OF CHRISTMAS PRESENT`)-[r]-(target:`SCROOGE`) + RETURN r + :result:, ) type='DIRECTED' properties={'keywords': '"transformation, mentoring"', 'description': '"Scrooge is led by the Ghost of Christmas Present, who teaches him valuable lessons about generosity and compassion."', 'weight': 10.0, 'source_id': 'chunk-843b5b2f944c7413d9ca876e2e2f151f'}> +2024-10-30 06:05:38,100 - lightrag - INFO - _check_edge_existence:query:MATCH (a:`GHOST OF CHRISTMAS YET TO COME`)-[r]-(b:`SCROOGE`) RETURN COUNT(r) > 0 AS edgeExists:result:True +2024-10-30 06:05:38,240 - lightrag - INFO - get_edge:query: + MATCH (source:`GHOST OF CHRISTMAS YET TO COME`)-[r]-(target:`SCROOGE`) + RETURN r + :result:, ) type='DIRECTED' properties={'keywords': '"forewarning, change""future consequences, redemption"', 'description': '"The Ghost of Christmas Yet to Come presents a foreboding vision of Scrooge\'s future, driving home the need for personal change.""The Ghost shows Scrooge visions of the future, challenging him to change his ways to avoid a grim destiny."', 'weight': 19.0, 'source_id': 'chunk-02baee20cc9463dbe08170a8e1043e32chunk-9e3921da66da5d761ab73cd849af6c43'}> +2024-10-30 06:05:38,381 - lightrag - INFO - _check_edge_existence:query:MATCH (a:`FRED`)-[r]-(b:`SCROOGE`) RETURN COUNT(r) > 0 AS edgeExists:result:True +2024-10-30 06:05:38,516 - lightrag - INFO - get_edge:query: + MATCH (source:`FRED`)-[r]-(target:`SCROOGE`) + RETURN r + :result:, ) type='DIRECTED' properties={'keywords': '"family connection, goodwill""family connection, reconciliation""family, transformation""rejection, familial dynamics"', 'description': '"Scrooge and Fred share a familial bond, with Fred expressing goodwill and celebrating Scrooge despite his uncle\'s previous behavior.""Scrooge expresses a desire to visit Fred, which signifies a reconciliatory gesture toward his family.""Scrooge surprises Fred with his unexpected visit, indicating a shift in their familial relationship and Scrooge\'s attitude toward family.""Scrooge\'s interaction with Fred emphasizes his rejection of familial warmth during the Christmas season."', 'weight': 30.0, 'source_id': 'chunk-8f738cb25d60a7dab782162d9d0a25edchunk-94bea83e7153fc2064aa382b494936a1chunk-89777b838d5447c7bd1ec11282c4ee89chunk-e7637ff18c5ded77a68cce0a87883fad'}> +2024-10-30 06:05:38,655 - lightrag - INFO - _check_edge_existence:query:MATCH (a:`FRED`)-[r]-(b:`GHOST OF CHRISTMAS PRESENT`) RETURN COUNT(r) > 0 AS edgeExists:result:True +2024-10-30 06:05:38,794 - lightrag - INFO - get_edge:query: + MATCH (source:`FRED`)-[r]-(target:`GHOST OF CHRISTMAS PRESENT`) + RETURN r + :result:, ) type='DIRECTED' properties={'keywords': '"celebration, Christmas spirit"', 'description': '"Fred is celebrated by the Ghost of Christmas Present as a symbol of Christmas spirit, highlighting the contrast with Scrooge."', 'weight': 8.0, 'source_id': 'chunk-9e3921da66da5d761ab73cd849af6c43'}> +2024-10-30 06:05:38,937 - lightrag - INFO - _check_edge_existence:query:MATCH (a:`BOB CRATCHIT`)-[r]-(b:`MRS. CRATCHIT`) RETURN COUNT(r) > 0 AS edgeExists:result:True +2024-10-30 06:05:39,073 - lightrag - INFO - get_edge:query: + MATCH (source:`BOB CRATCHIT`)-[r]-(target:`MRS. CRATCHIT`) + RETURN r + :result:, ) type='DIRECTED' properties={'keywords': '"family unity, celebration""partnership, family unity"', 'description': '"Bob and Mrs. Cratchit represent a family working together to create a festive and warm environment despite their limited means.""Mrs. Cratchit supports Bob Cratchit in his parenting efforts and encourages the family’s unity during challenging times."', 'weight': 16.0, 'source_id': 'chunk-1d4b58de5429cd1261370c231c8673e8chunk-b0f459f5af1c3a5e0b92cbe4ee48b77b'}> +2024-10-30 06:05:39,215 - lightrag - INFO - _check_edge_existence:query:MATCH (a:`GHOST OF CHRISTMAS PRESENT`)-[r]-(b:`TINY TIM`) RETURN COUNT(r) > 0 AS edgeExists:result:True +2024-10-30 06:05:39,349 - lightrag - INFO - get_edge:query: + MATCH (source:`GHOST OF CHRISTMAS PRESENT`)-[r]-(target:`TINY TIM`) + RETURN r + :result:, ) type='DIRECTED' properties={'keywords': '"compassion, family"', 'description': '"The Ghost of Christmas Present reveals Tiny Tim’s struggles and optimism, emphasizing themes of compassion and family."', 'weight': 9.0, 'source_id': 'chunk-9e3921da66da5d761ab73cd849af6c43'}> +2024-10-30 06:05:39,487 - lightrag - INFO - _check_edge_existence:query:MATCH (a:`BOB CRATCHIT`)-[r]-(b:`MARTHA CRATCHIT`) RETURN COUNT(r) > 0 AS edgeExists:result:True +2024-10-30 06:05:39,622 - lightrag - INFO - get_edge:query: + MATCH (source:`BOB CRATCHIT`)-[r]-(target:`MARTHA CRATCHIT`) + RETURN r + :result:, ) type='DIRECTED' properties={'keywords': '"family bond, affection"', 'description': '"Martha shows affection for Bob Cratchit upon her arrival, indicating a warm father-daughter relationship within the family."', 'weight': 7.0, 'source_id': 'chunk-7e2e7ebcc19a53b399dc03aded4743e7'}> +2024-10-30 06:05:39,760 - lightrag - INFO - _check_edge_existence:query:MATCH (a:`MR. FEZZIWIG`)-[r]-(b:`SCROOGE`) RETURN COUNT(r) > 0 AS edgeExists:result:True +2024-10-30 06:05:39,896 - lightrag - INFO - get_edge:query: + MATCH (source:`MR. FEZZIWIG`)-[r]-(target:`SCROOGE`) + RETURN r + :result:, ) type='DIRECTED' properties={'keywords': '"kindness, influence"', 'description': '"Mr. Fezziwig\'s kindness towards employees influences Scrooge\'s eventual change in attitude toward generosity and business."', 'weight': 8.0, 'source_id': 'chunk-9e3921da66da5d761ab73cd849af6c43'}> +2024-10-30 06:05:40,034 - lightrag - INFO - _check_edge_existence:query:MATCH (a:`GHOST OF JACOB MARLEY`)-[r]-(b:`SCROOGE`) RETURN COUNT(r) > 0 AS edgeExists:result:True +2024-10-30 06:05:40,169 - lightrag - INFO - get_edge:query: + MATCH (source:`GHOST OF JACOB MARLEY`)-[r]-(target:`SCROOGE`) + RETURN r + :result:, ) type='DIRECTED' properties={'keywords': '"warning, transformation"', 'description': '"Jacob Marley appears to Scrooge as a warning and catalyst for his eventual transformation into a better person."', 'weight': 9.0, 'source_id': 'chunk-9e3921da66da5d761ab73cd849af6c43'}> +2024-10-30 06:05:40,304 - lightrag - INFO - _check_edge_existence:query:MATCH (a:`FAN`)-[r]-(b:`SCROOGE`) RETURN COUNT(r) > 0 AS edgeExists:result:True +2024-10-30 06:05:40,443 - lightrag - INFO - get_edge:query: + MATCH (source:`FAN`)-[r]-(target:`SCROOGE`) + RETURN r + :result:, ) type='DIRECTED' properties={'keywords': '"family, joy lost""sibling bond, nostalgia"', 'description': '"Fan\'s loving relationship with her brother Scrooge reflects the lost potential for joy in his life due to his choices.""Scrooge and Fan share a sibling bond, with Fan representing innocence and happiness from their childhood, which evokes fond memories for Scrooge."', 'weight': 14.0, 'source_id': 'chunk-c6c248858d1b13ab7ee9ca13c1aeed6bchunk-9e3921da66da5d761ab73cd849af6c43'}> +2024-10-30 06:05:40,583 - lightrag - INFO - _check_edge_existence:query:MATCH (a:`MR. FEZZIWIG`)-[r]-(b:`MRS. FEZZIWIG`) RETURN COUNT(r) > 0 AS edgeExists:result:True +2024-10-30 06:05:40,718 - lightrag - INFO - get_edge:query: + MATCH (source:`MR. FEZZIWIG`)-[r]-(target:`MRS. FEZZIWIG`) + RETURN r + :result:, ) type='DIRECTED' properties={'keywords': '"partnership, Christmas joy"', 'description': '"Mr. and Mrs. Fezziwig together create a joyful environment during Christmas, representing partnership and generosity."', 'weight': 8.0, 'source_id': 'chunk-9e3921da66da5d761ab73cd849af6c43'}> +2024-10-30 06:05:40,856 - lightrag - INFO - _check_edge_existence:query:MATCH (a:`FEZZIWIG`)-[r]-(b:`SCROOGE`) RETURN COUNT(r) > 0 AS edgeExists:result:True +2024-10-30 06:05:40,993 - lightrag - INFO - get_edge:query: + MATCH (source:`FEZZIWIG`)-[r]-(target:`SCROOGE`) + RETURN r + :result:, ) type='DIRECTED' properties={'keywords': '"kindness, mentorship""reflection, influence"', 'description': '"Scrooge reflects positively on Fezziwig\'s past actions, acknowledging the happiness and gratitude he inspired in people.""Scrooge reminisces about Fezziwig\'s kindness during his apprenticeship, comparing his past self to his current state."', 'weight': 16.0, 'source_id': 'chunk-b2f98bc7abb0c67d4c86055c7fd72218chunk-c6c248858d1b13ab7ee9ca13c1aeed6b'}> +2024-10-30 06:05:41,132 - lightrag - INFO - _check_edge_existence:query:MATCH (a:`MARLEY`)-[r]-(b:`SCROOGE`) RETURN COUNT(r) > 0 AS edgeExists:result:True +2024-10-30 06:05:41,265 - lightrag - INFO - get_edge:query: + MATCH (source:`MARLEY`)-[r]-(target:`SCROOGE`) + RETURN r + :result:, ) type='DIRECTED' properties={'keywords': '"mourning, partnership""past influence, personal history""redemption, confrontation""supernatural connection, past relationships"', 'description': '"Marley’s influence and past relationship with Scrooge is indicated, suggesting a connection that impacts Scrooge\'s character growth.""Scrooge is deeply affected by Marley\'s death, illustrated through his role as the sole executor and mourner of Marley.""Scrooge reflects on Marley, revealing his past connection and the haunting aspect of Marley\'s death, which influences Scrooge\'s character arc.""Scrooge\'s encounter with Marley’s Ghost serves as a confrontation with his past self and the life choices he regrets, depicting the theme of redemption."', 'weight': 32.0, 'source_id': 'chunk-d9aac3484185ac66045df92214d245d5chunk-843b5b2f944c7413d9ca876e2e2f151fchunk-89777b838d5447c7bd1ec11282c4ee89chunk-9c43dac2fcd5b578242d907ea6f8fc7b'}> +2024-10-30 06:05:41,401 - lightrag - INFO - _check_edge_existence:query:MATCH (a:`CHRISTMAS`)-[r]-(b:`SCROOGE`) RETURN COUNT(r) > 0 AS edgeExists:result:True +2024-10-30 06:05:41,537 - lightrag - INFO - get_edge:query: + MATCH (source:`CHRISTMAS`)-[r]-(target:`SCROOGE`) + RETURN r + :result:, ) type='DIRECTED' properties={'keywords': '"character development, festive spirit""conflict, holiday spirit""contrast, seasonal significance""disconnection, festive spirit""holiday significance, reflection""reflection, redemption""seasonal significance, emotional reflection""transformation, festive spirit""transformation, holiday significance""transformation, holiday spirit"', 'description': '"Christmas is a central theme that invokes Scrooge\'s memories of his past, his feelings of loneliness, and his desire to connect.""Christmas serves as a focal point for Scrooge\'s emotional reflections on joy and his disconnect from societal celebrations.""Christmas serves as the catalyst for Scrooge\'s transformation, highlighting themes of giving and compassion.""Scrooge expresses disdain for Christmas, viewing it as a burden rather than a celebration.""Scrooge\'s attitude towards Christmas highlights his disconnection from the festive spirit and charity associated with the holiday.""Scrooge\'s character contrasts sharply with the joy of Christmas, highlighting his disdain for the festive season.""Scrooge\'s experience during the Christmas event highlights the transformation of his character and the spirit of the holiday.""Scrooge\'s journey with the Spirit ultimately leads him to reflect on the meaning of Christmas and its impact on human connections.""Scrooge\'s transformation and newfound joy are directly linked to the spirit of Christmas.""Scrooge\'s transformation is centered around the spirit of Christmas, which he learns to embrace and celebrate.""Scrooge\'s views on Christmas evolve as he witnesses the joy and familial love associated with the holiday, marking a shift in his character."', 'weight': 95.0, 'source_id': 'chunk-91614df5cb74cbe5e109a338a82041e9chunk-8f738cb25d60a7dab782162d9d0a25edchunk-e7637ff18c5ded77a68cce0a87883fadchunk-8590d9263cd2cd4fa583c432fc54e6c3chunk-54bdd22db1f84a965b5f4c06c9216d8dchunk-90d5764e301321c087f5a8f78b73a145chunk-da2472b4ef2a535b62908f14d0fb0ca9chunk-94bea83e7153fc2064aa382b494936a1chunk-89777b838d5447c7bd1ec11282c4ee89chunk-99b0ec7f7e006561352b5d65e849611dchunk-74e2466de2f67fd710ef2f20c0a8d9e0'}> +2024-10-30 06:05:41,677 - lightrag - INFO - _check_edge_existence:query:MATCH (a:`SCROOGE`)-[r]-(b:`THE WAREHOUSE`) RETURN COUNT(r) > 0 AS edgeExists:result:True +2024-10-30 06:05:41,807 - lightrag - INFO - get_edge:query: + MATCH (source:`SCROOGE`)-[r]-(target:`THE WAREHOUSE`) + RETURN r + :result:, ) type='DIRECTED' properties={'keywords': '"memories, apprenticeship"', 'description': '"Scrooge\'s connection to the Warehouse emphasizes his memories of apprenticeship and his past experiences."', 'weight': 8.0, 'source_id': 'chunk-c6c248858d1b13ab7ee9ca13c1aeed6b'}> +2024-10-30 06:05:41,949 - lightrag - INFO - _check_edge_existence:query:MATCH (a:`JOE`)-[r]-(b:`THE WOMAN`) RETURN COUNT(r) > 0 AS edgeExists:result:True +2024-10-30 06:05:42,084 - lightrag - INFO - get_edge:query: + MATCH (source:`JOE`)-[r]-(target:`THE WOMAN`) + RETURN r + :result:, ) type='DIRECTED' properties={'keywords': '"dialogue, humor, death""humor, interaction"', 'description': '"Joe and The Woman engage in dialogue about the deceased\'s belongings, showcasing their interactions and differing attitudes towards death.""Joe and The Woman share a humorous exchange about the bed-curtains, reflecting the jovial spirit of the gathering."', 'weight': 12.0, 'source_id': 'chunk-89777b838d5447c7bd1ec11282c4ee89chunk-e1f29eeadc1d8ab46dc8a0bbd3c56b64'}> +2024-10-30 06:05:42,225 - lightrag - INFO - _check_edge_existence:query:MATCH (a:`SCROOGE`)-[r]-(b:`TIM`) RETURN COUNT(r) > 0 AS edgeExists:result:True +2024-10-30 06:05:42,355 - lightrag - INFO - get_edge:query: + MATCH (source:`SCROOGE`)-[r]-(target:`TIM`) + RETURN r + :result:, ) type='DIRECTED' properties={'keywords': '"familial connection, emotional depth"', 'description': '"Scrooge\'s connection to Tim emphasizes emotional depth, reflecting on family and lost connections as part of his character development."', 'weight': 8.0, 'source_id': 'chunk-89777b838d5447c7bd1ec11282c4ee89'}> +2024-10-30 06:05:42,496 - lightrag - INFO - _check_edge_existence:query:MATCH (a:`OLD SCROOGE`)-[r]-(b:`SCROOGE`) RETURN COUNT(r) > 0 AS edgeExists:result:True +2024-10-30 06:05:42,632 - lightrag - INFO - get_edge:query: + MATCH (source:`OLD SCROOGE`)-[r]-(target:`SCROOGE`) + RETURN r + :result:, ) type='DIRECTED' properties={'keywords': '"character history, development"', 'description': '"Scrooge\'s history is revealed through the mention of Old Scrooge, indicating his past beliefs and practices that shape his current persona."', 'weight': 7.0, 'source_id': 'chunk-89777b838d5447c7bd1ec11282c4ee89'}> +2024-10-30 06:05:42,771 - lightrag - INFO - _check_edge_existence:query:MATCH (a:`MARLEY'S FUNERAL`)-[r]-(b:`SCROOGE`) RETURN COUNT(r) > 0 AS edgeExists:result:True +2024-10-30 06:05:42,907 - lightrag - INFO - get_edge:query: + MATCH (source:`MARLEY'S FUNERAL`)-[r]-(target:`SCROOGE`) + RETURN r + :result:, ) type='DIRECTED' properties={'keywords': '"loss, character journey"', 'description': '"Marley\'s Funeral signifies the beginning of Scrooge\'s emotional journey, showcasing his reaction to loss and setting the stage for the narrative."', 'weight': 9.0, 'source_id': 'chunk-89777b838d5447c7bd1ec11282c4ee89'}> +2024-10-30 06:05:43,048 - lightrag - INFO - _check_edge_existence:query:MATCH (a:`SCROOGE`)-[r]-(b:`SCROOGE'S NEPHEW`) RETURN COUNT(r) > 0 AS edgeExists:result:True +2024-10-30 06:05:43,186 - lightrag - INFO - get_edge:query: + MATCH (source:`SCROOGE`)-[r]-(target:`SCROOGE'S NEPHEW`) + RETURN r + :result:, ) type='DIRECTED' properties={'keywords': '"family conflict, differing perspectives""family dynamics, contrasting views""family dynamics, opposing views"', 'description': '"Scrooge\'s Nephew contrasts with Scrooge, advocating for merriment and showing pity for his uncle\'s ill tempers.""Scrooge\'s Nephew tries to cheer Scrooge up and promote the joy of Christmas, but is met with rejection and negativity.""Scrooge\'s Nephew tries to convince Scrooge of the joys of Christmas, illustrating the conflict between their differing views on the holiday."', 'weight': 24.0, 'source_id': 'chunk-773d0df1dd25c356f7b771d780583e09chunk-74e2466de2f67fd710ef2f20c0a8d9e0chunk-5dac41b3f9eeaf794f0147400b1718cd'}> +2024-10-30 06:05:43,323 - lightrag - INFO - _check_edge_existence:query:MATCH (a:`CHRISTMAS`)-[r]-(b:`SCROOGE'S NEPHEW`) RETURN COUNT(r) > 0 AS edgeExists:result:True +2024-10-30 06:05:43,459 - lightrag - INFO - get_edge:query: + MATCH (source:`CHRISTMAS`)-[r]-(target:`SCROOGE'S NEPHEW`) + RETURN r + :result:, ) type='DIRECTED' properties={'keywords': '"advocacy for holiday spirit, family dynamics"', 'description': '"Scrooge\'s Nephew defends the positive aspects of Christmas, contrasting Scrooge\'s view that the holiday is pointless."', 'weight': 9.0, 'source_id': 'chunk-5dac41b3f9eeaf794f0147400b1718cd'}> +2024-10-30 06:05:43,595 - lightrag - INFO - _check_edge_existence:query:MATCH (a:`COUNTING-HOUSE`)-[r]-(b:`SCROOGE`) RETURN COUNT(r) > 0 AS edgeExists:result:True +2024-10-30 06:05:43,726 - lightrag - INFO - get_edge:query: + MATCH (source:`COUNTING-HOUSE`)-[r]-(target:`SCROOGE`) + RETURN r + :result:, ) type='DIRECTED' properties={'keywords': '"isolation, work environment""reflection, priorities"', 'description': '"Scrooge reflects on his life spent in the Counting-house, which represents his previous priorities focused on business over personal connections.""Scrooge\'s counting-house is a reflection of his cold character and attitude towards life, where he isolates himself from human interactions."', 'weight': 16.0, 'source_id': 'chunk-74e2466de2f67fd710ef2f20c0a8d9e0chunk-359187e7571bda4b0b08b2e0b6581e52'}> +2024-10-30 06:05:43,863 - lightrag - INFO - _check_edge_existence:query:MATCH (a:`BEGGARS`)-[r]-(b:`SCROOGE`) RETURN COUNT(r) > 0 AS edgeExists:result:True +2024-10-30 06:05:43,999 - lightrag - INFO - get_edge:query: + MATCH (source:`BEGGARS`)-[r]-(target:`SCROOGE`) + RETURN r + :result:, ) type='DIRECTED' properties={'keywords': '"lack of compassion, social isolation"', 'description': '"Beggars do not seek help from Scrooge due to his reputation, highlighting his inability to connect and empathize with those in need."', 'weight': 6.0, 'source_id': 'chunk-74e2466de2f67fd710ef2f20c0a8d9e0'}> +2024-10-30 06:05:44,136 - lightrag - INFO - _check_edge_existence:query:MATCH (a:`CHILDREN`)-[r]-(b:`SCROOGE`) RETURN COUNT(r) > 0 AS edgeExists:result:True +2024-10-30 06:05:44,269 - lightrag - INFO - get_edge:query: + MATCH (source:`CHILDREN`)-[r]-(target:`SCROOGE`) + RETURN r + :result:, ) type='DIRECTED' properties={'keywords': '"longing, innocence"', 'description': '"Scrooge\'s reaction to the Children he observes in his memories reveals his longing for the happiness he once knew but has since lost."', 'weight': 7.0, 'source_id': 'chunk-bb21d58d36c6306fd8810ddd51c4a971'}> +2024-10-30 06:05:44,410 - lightrag - INFO - _check_edge_existence:query:MATCH (a:`COLD WEATHER`)-[r]-(b:`SCROOGE`) RETURN COUNT(r) > 0 AS edgeExists:result:True +2024-10-30 06:05:44,543 - lightrag - INFO - get_edge:query: + MATCH (source:`COLD WEATHER`)-[r]-(target:`SCROOGE`) + RETURN r + :result:, ) type='DIRECTED' properties={'keywords': '"atmosphere, personality mirror"', 'description': '"The cold weather reflects Scrooge\'s icy demeanor, emphasizing his negative attitude towards life and others."', 'weight': 9.0, 'source_id': 'chunk-74e2466de2f67fd710ef2f20c0a8d9e0'}> +2024-10-30 06:05:44,680 - lightrag - INFO - _check_edge_existence:query:MATCH (a:`FOG`)-[r]-(b:`SCROOGE`) RETURN COUNT(r) > 0 AS edgeExists:result:True +2024-10-30 06:05:44,812 - lightrag - INFO - get_edge:query: + MATCH (source:`FOG`)-[r]-(target:`SCROOGE`) + RETURN r + :result:, ) type='DIRECTED' properties={'keywords': '"atmosphere, emotional reflection"', 'description': '"Fog represents the obscured vision of Scrooge\'s soul and emotions, aligning with his unknowable nature."', 'weight': 8.0, 'source_id': 'chunk-d9aac3484185ac66045df92214d245d5'}> +2024-10-30 06:05:44,951 - lightrag - INFO - _check_edge_existence:query:MATCH (a:`COURT`)-[r]-(b:`SCROOGE`) RETURN COUNT(r) > 0 AS edgeExists:result:True +2024-10-30 06:05:45,085 - lightrag - INFO - get_edge:query: + MATCH (source:`COURT`)-[r]-(target:`SCROOGE`) + RETURN r + :result:, ) type='DIRECTED' properties={'keywords': '"social contrast, isolation"', 'description': '"The court serves as a contrasting backdrop to Scrooge’s private space, where social warmth and interaction occur, which he actively avoids."', 'weight': 7.0, 'source_id': 'chunk-74e2466de2f67fd710ef2f20c0a8d9e0'}> +2024-10-30 06:05:45,223 - lightrag - INFO - _check_edge_existence:query:MATCH (a:`MARLEY`)-[r]-(b:`SCROOGE AND MARLEY'S`) RETURN COUNT(r) > 0 AS edgeExists:result:True +2024-10-30 06:05:45,357 - lightrag - INFO - get_edge:query: + MATCH (source:`MARLEY`)-[r]-(target:`SCROOGE AND MARLEY'S`) + RETURN r + :result:, ) type='DIRECTED' properties={'keywords': '"partnership, legacy"', 'description': '"Scrooge and Marley\'s is the business associated with Marley, emphasizing its history and the weight of Marley\'s legacy in shaping Scrooge\'s character."', 'weight': 6.0, 'source_id': 'chunk-5dac41b3f9eeaf794f0147400b1718cd'}> +2024-10-30 06:05:45,495 - lightrag - INFO - _check_edge_existence:query:MATCH (a:`CLERK`)-[r]-(b:`SCROOGE`) RETURN COUNT(r) > 0 AS edgeExists:result:True +2024-10-30 06:05:45,628 - lightrag - INFO - get_edge:query: + MATCH (source:`CLERK`)-[r]-(target:`SCROOGE`) + RETURN r + :result:, ) type='DIRECTED' properties={'keywords': '"employment relationship, respect"', 'description': '"The Clerk communicates with Scrooge about his work, highlighting the lack of mutual respect in their employer-employee relationship."', 'weight': 5.0, 'source_id': 'chunk-d9aac3484185ac66045df92214d245d5'}> +2024-10-30 06:05:45,765 - lightrag - INFO - _check_edge_existence:query:MATCH (a:`SCROOGE`)-[r]-(b:`THE GENTLEMEN`) RETURN COUNT(r) > 0 AS edgeExists:result:True +2024-10-30 06:05:45,898 - lightrag - INFO - get_edge:query: + MATCH (source:`SCROOGE`)-[r]-(target:`THE GENTLEMEN`) + RETURN r + :result:, ) type='DIRECTED' properties={'keywords': '"charity, social responsibility"', 'description': '"The Gentlemen approach Scrooge about donations for the poor, representing a charitable campaign that he strongly resists."', 'weight': 8.0, 'source_id': 'chunk-5dac41b3f9eeaf794f0147400b1718cd'}> +2024-10-30 06:05:46,041 - lightrag - INFO - _check_edge_existence:query:MATCH (a:`POOR AND DESTITUTE`)-[r]-(b:`SCROOGE`) RETURN COUNT(r) > 0 AS edgeExists:result:True +2024-10-30 06:05:46,176 - lightrag - INFO - get_edge:query: + MATCH (source:`POOR AND DESTITUTE`)-[r]-(target:`SCROOGE`) + RETURN r + :result:, ) type='DIRECTED' properties={'keywords': '"miserliness, social neglect"', 'description': '"Scrooge\'s reluctance to support the Poor and Destitute highlights his miserly nature and his antagonism toward societal responsibility."', 'weight': 7.0, 'source_id': 'chunk-5dac41b3f9eeaf794f0147400b1718cd'}> +2024-10-30 06:05:46,317 - lightrag - INFO - _check_edge_existence:query:MATCH (a:`CHRISTMAS-TIME`)-[r]-(b:`SCROOGE'S NEPHEW`) RETURN COUNT(r) > 0 AS edgeExists:result:True +2024-10-30 06:05:46,451 - lightrag - INFO - get_edge:query: + MATCH (source:`CHRISTMAS-TIME`)-[r]-(target:`SCROOGE'S NEPHEW`) + RETURN r + :result:, ) type='DIRECTED' properties={'keywords': '"celebration, family dynamics"', 'description': '"Scrooge\'s Nephew celebrates Christmas-Time as a period for kindness and charity, clashing with Scrooge\'s cynical view."', 'weight': 8.0, 'source_id': 'chunk-5dac41b3f9eeaf794f0147400b1718cd'}> +2024-10-30 06:05:46,588 - lightrag - INFO - _check_edge_existence:query:MATCH (a:`BEDLAM`)-[r]-(b:`SCROOGE`) RETURN COUNT(r) > 0 AS edgeExists:result:True +2024-10-30 06:05:46,721 - lightrag - INFO - get_edge:query: + MATCH (source:`BEDLAM`)-[r]-(target:`SCROOGE`) + RETURN r + :result:, ) type='DIRECTED' properties={'keywords': '"disdain, societal norms"', 'description': '"Scrooge invokes the concept of Bedlam to express his disbelief and frustration at the cheerfulness of others, implying a disdain for societal norms."', 'weight': 6.0, 'source_id': 'chunk-5dac41b3f9eeaf794f0147400b1718cd'}> +2024-10-30 06:05:46,864 - lightrag - INFO - _check_edge_existence:query:MATCH (a:`SCROOGE`)-[r]-(b:`THE GENTLEMAN`) RETURN COUNT(r) > 0 AS edgeExists:result:True +2024-10-30 06:05:46,999 - lightrag - INFO - get_edge:query: + MATCH (source:`SCROOGE`)-[r]-(target:`THE GENTLEMAN`) + RETURN r + :result:, ) type='DIRECTED' properties={'keywords': '"charity, conflict of values"', 'description': '"Scrooge and The Gentleman have opposing views on charity and helping the poor during Christmas, showing a stark contrast in values."', 'weight': 8.0, 'source_id': 'chunk-90d5764e301321c087f5a8f78b73a145'}> +2024-10-30 06:05:47,140 - lightrag - INFO - _check_edge_existence:query:MATCH (a:`THE GENTLEMAN`)-[r]-(b:`THE POOR LAW`) RETURN COUNT(r) > 0 AS edgeExists:result:True +2024-10-30 06:05:47,274 - lightrag - INFO - get_edge:query: + MATCH (source:`THE GENTLEMAN`)-[r]-(target:`THE POOR LAW`) + RETURN r + :result:, ) type='DIRECTED' properties={'keywords': '"charity, systemic support"', 'description': '"The Gentleman references the Poor Law as part of his argument for helping the needy, illustrating systemic support for the impoverished."', 'weight': 6.0, 'source_id': 'chunk-90d5764e301321c087f5a8f78b73a145'}> +2024-10-30 06:05:47,421 - lightrag - INFO - _check_edge_existence:query:MATCH (a:`THE POOR LAW`)-[r]-(b:`THE UNION WORKHOUSES`) RETURN COUNT(r) > 0 AS edgeExists:result:True +2024-10-30 06:05:47,556 - lightrag - INFO - get_edge:query: + MATCH (source:`THE POOR LAW`)-[r]-(target:`THE UNION WORKHOUSES`) + RETURN r + :result:, ) type='DIRECTED' properties={'keywords': '"support mechanisms, charity"', 'description': '"The Poor Law and Union Workhouses are connected as they both serve as mechanisms for helping the poor, albeit with differing implications for charity."', 'weight': 7.0, 'source_id': 'chunk-90d5764e301321c087f5a8f78b73a145'}> +2024-10-30 06:05:47,695 - lightrag - INFO - _check_edge_existence:query:MATCH (a:`THE LADY MAYOR`)-[r]-(b:`THE MANSION HOUSE`) RETURN COUNT(r) > 0 AS edgeExists:result:True +2024-10-30 06:05:47,831 - lightrag - INFO - get_edge:query: + MATCH (source:`THE LADY MAYOR`)-[r]-(target:`THE MANSION HOUSE`) + RETURN r + :result:, ) type='DIRECTED' properties={'keywords': '"holiday preparations, community significance"', 'description': '"The Lady Mayor prepares for Christmas festivities at the Mansion House, highlighting the importance of the event to the community."', 'weight': 8.0, 'source_id': 'chunk-90d5764e301321c087f5a8f78b73a145'}> +2024-10-30 06:05:47,970 - lightrag - INFO - _check_edge_existence:query:MATCH (a:`BOB CRATCHIT`)-[r]-(b:`SCROOGE`) RETURN COUNT(r) > 0 AS edgeExists:result:True +2024-10-30 06:05:48,105 - lightrag - INFO - get_edge:query: + MATCH (source:`BOB CRATCHIT`)-[r]-(target:`SCROOGE`) + RETURN r + :result:, ) type='DIRECTED' properties={'keywords': '"employment, generosity""employment, power dynamic""employment, social reflection""family dynamics, acknowledgment""generosity, relationship change""gratitude, redemption"', 'description': '"Bob Cratchit tries to maintain a positive atmosphere during the Christmas feast despite the negative association with Scrooge.""Bob praises Scrooge as \'The Founder of the Feast\', showing appreciation despite Scrooge’s previous miserliness.""Scrooge decides to send a turkey to Bob Cratchit, indicating a newfound kindness towards him and his family.""Scrooge is Bob Cratchit\'s employer, and he reflects on the challenges Bob faces regarding family and food on Christmas Day.".""Scrooge is the employer of Bob Cratchit, demonstrating a power dynamic characterized by Scrooge\'s harsh treatment and Bob\'s subservient role.""Scrooge reprimands Bob for arriving late, but ultimately decides to raise his salary, signaling a significant change in their employer-employee relationship."', 'weight': 40.0, 'source_id': 'chunk-503f0bfa5453467c7c61d160a3540ecachunk-90b95db5c53e4364a6bee36b7aa4d70fchunk-b0f459f5af1c3a5e0b92cbe4ee48b77bchunk-d9aac3484185ac66045df92214d245d5chunk-94bea83e7153fc2064aa382b494936a1chunk-19d72c57ae3408758b18d2568e86dc6b'}> +2024-10-30 06:05:48,247 - lightrag - INFO - _check_edge_existence:query:MATCH (a:`CHRISTMAS EVE`)-[r]-(b:`SCROOGE`) RETURN COUNT(r) > 0 AS edgeExists:result:True +2024-10-30 06:05:48,382 - lightrag - INFO - get_edge:query: + MATCH (source:`CHRISTMAS EVE`)-[r]-(target:`SCROOGE`) + RETURN r + :result:, ) type='DIRECTED' properties={'keywords': '"holiday spirit, character development"', 'description': '"Scrooge\'s actions and attitudes towards Christmas Eve highlight his disdain for traditional celebrations, setting the tone for his character arc."', 'weight': 8.0, 'source_id': 'chunk-d9aac3484185ac66045df92214d245d5'}> +2024-10-30 06:05:48,519 - lightrag - INFO - _check_edge_existence:query:MATCH (a:`BOB CRATCHIT`)-[r]-(b:`CHRISTMAS EVE`) RETURN COUNT(r) > 0 AS edgeExists:result:True +2024-10-30 06:05:48,651 - lightrag - INFO - get_edge:query: + MATCH (source:`BOB CRATCHIT`)-[r]-(target:`CHRISTMAS EVE`) + RETURN r + :result:, ) type='DIRECTED' properties={'keywords': '"celebration, contrast"', 'description': '"Bob Cratchit embodies the joy of Christmas Eve while Scrooge\'s perspective starkly contrasts with Bob\'s happiness during the holiday season."', 'weight': 5.0, 'source_id': 'chunk-d9aac3484185ac66045df92214d245d5'}> +2024-10-30 06:05:48,790 - lightrag - INFO - _check_edge_existence:query:MATCH (a:`SCROOGE`)-[r]-(b:`THE COUNTING-HOUSE`) RETURN COUNT(r) > 0 AS edgeExists:result:True +2024-10-30 06:05:48,927 - lightrag - INFO - get_edge:query: + MATCH (source:`SCROOGE`)-[r]-(target:`THE COUNTING-HOUSE`) + RETURN r + :result:, ) type='DIRECTED' properties={'keywords': '"work environment, character development""work environment, personality reflection"', 'description': '"Scrooge\'s work environment reflects his personality, being cold and uninviting, mirroring his discontent with life.""The Counting-House is where Scrooge works, illustrating the environment that shapes his bleak personality."', 'weight': 14.0, 'source_id': 'chunk-d9aac3484185ac66045df92214d245d5chunk-74e2466de2f67fd710ef2f20c0a8d9e0'}> +2024-10-30 06:05:49,069 - lightrag - INFO - _check_edge_existence:query:MATCH (a:`SCROOGE`)-[r]-(b:`THE KNOCKER`) RETURN COUNT(r) > 0 AS edgeExists:result:True +2024-10-30 06:05:49,205 - lightrag - INFO - get_edge:query: + MATCH (source:`SCROOGE`)-[r]-(target:`THE KNOCKER`) + RETURN r + :result:, ) type='DIRECTED' properties={'keywords': '"appreciation, transformation""symbolism, transformation"', 'description': '"Scrooge admires the knocker at his door, marking a positive change in his attitude towards life and surroundings.""The Knocker, transforming into Marley\'s face, symbolizes Scrooge\'s ghostly past and impending redemption challenges."', 'weight': 15.0, 'source_id': 'chunk-d9aac3484185ac66045df92214d245d5chunk-8f738cb25d60a7dab782162d9d0a25ed'}> +2024-10-30 06:05:49,348 - lightrag - INFO - _check_edge_existence:query:MATCH (a:`SCROOGE`)-[r]-(b:`THE YARD`) RETURN COUNT(r) > 0 AS edgeExists:result:True +2024-10-30 06:05:49,478 - lightrag - INFO - get_edge:query: + MATCH (source:`SCROOGE`)-[r]-(target:`THE YARD`) + RETURN r + :result:, ) type='DIRECTED' properties={'keywords': '"isolation, emotional landscape"', 'description': '"The Yard represents the isolation in Scrooge\'s life, physically and metaphorically reflecting his emotional state."', 'weight': 8.0, 'source_id': 'chunk-d9aac3484185ac66045df92214d245d5'}> +2024-10-30 06:05:49,616 - lightrag - INFO - _check_edge_existence:query:MATCH (a:`SCROOGE`)-[r]-(b:`THE FOG AND FROST`) RETURN COUNT(r) > 0 AS edgeExists:result:True +2024-10-30 06:05:49,751 - lightrag - INFO - get_edge:query: + MATCH (source:`SCROOGE`)-[r]-(target:`THE FOG AND FROST`) + RETURN r + :result:, ) type='DIRECTED' properties={'keywords': '"atmosphere, emotional coldness"', 'description': '"The Fog and Frost enveloping Scrooge\'s home reflect the chilling atmosphere of his life and his emotional coldness."', 'weight': 7.0, 'source_id': 'chunk-d9aac3484185ac66045df92214d245d5'}> +2024-10-30 06:05:49,888 - lightrag - INFO - _check_edge_existence:query:MATCH (a:`BOB CRATCHIT`)-[r]-(b:`THE COUNTING-HOUSE CLERK`) RETURN COUNT(r) > 0 AS edgeExists:result:True +2024-10-30 06:05:50,023 - lightrag - INFO - get_edge:query: + MATCH (source:`BOB CRATCHIT`)-[r]-(target:`THE COUNTING-HOUSE CLERK`) + RETURN r + :result:, ) type='DIRECTED' properties={'keywords': '"workforce dynamics, character contrast"', 'description': '"Bob Cratchit and The Counting-House Clerk represent the working class under Scrooge\'s employment, showcasing different character traits in the context of their work."', 'weight': 6.0, 'source_id': 'chunk-d9aac3484185ac66045df92214d245d5'}> +2024-10-30 06:05:50,160 - lightrag - INFO - _check_edge_existence:query:MATCH (a:`SCROOGE`)-[r]-(b:`THE GHOST OF MARLEY`) RETURN COUNT(r) > 0 AS edgeExists:result:True +2024-10-30 06:05:50,295 - lightrag - INFO - get_edge:query: + MATCH (source:`SCROOGE`)-[r]-(target:`THE GHOST OF MARLEY`) + RETURN r + :result:, ) type='DIRECTED' properties={'keywords': '"supernatural, moral reckoning"', 'description': '"The Ghost of Marley symbolizes Scrooge\'s past mistakes and serves as a catalyst for his transformation."', 'weight': 9.0, 'source_id': 'chunk-d9aac3484185ac66045df92214d245d5'}> +2024-10-30 06:05:50,437 - lightrag - INFO - _check_edge_existence:query:MATCH (a:`BOB CRATCHIT`)-[r]-(b:`CAMDEN TOWN`) RETURN COUNT(r) > 0 AS edgeExists:result:True +2024-10-30 06:05:50,570 - lightrag - INFO - get_edge:query: + MATCH (source:`BOB CRATCHIT`)-[r]-(target:`CAMDEN TOWN`) + RETURN r + :result:, ) type='DIRECTED' properties={'keywords': '"contrast, warmth"', 'description': '"Camden Town serves as a location representing warmth and family contrast to Scrooge\'s loneliness."', 'weight': 6.0, 'source_id': 'chunk-d9aac3484185ac66045df92214d245d5'}> +2024-10-30 06:05:50,711 - lightrag - INFO - _check_edge_existence:query:MATCH (a:`THE CANDLE`)-[r]-(b:`THE FOG AND FROST`) RETURN COUNT(r) > 0 AS edgeExists:result:True +2024-10-30 06:05:50,845 - lightrag - INFO - get_edge:query: + MATCH (source:`THE CANDLE`)-[r]-(target:`THE FOG AND FROST`) + RETURN r + :result:, ) type='DIRECTED' properties={'keywords': '"hope, contrast"', 'description': '"The Candle symbolizes a flicker of warmth and hope in the bleak setting of Fog and Frost, contrasting the overall atmosphere."', 'weight': 6.0, 'source_id': 'chunk-d9aac3484185ac66045df92214d245d5'}> +2024-10-30 06:05:50,986 - lightrag - INFO - _check_edge_existence:query:MATCH (a:`SCROOGE`)-[r]-(b:`THE HOUSE`) RETURN COUNT(r) > 0 AS edgeExists:result:True +2024-10-30 06:05:51,122 - lightrag - INFO - get_edge:query: + MATCH (source:`SCROOGE`)-[r]-(target:`THE HOUSE`) + RETURN r + :result:, ) type='DIRECTED' properties={'keywords': '"haunting, setting influence"', 'description': '"Scrooge\'s experiences with Marley\'s Ghost occur within The House, which plays a crucial role in the haunting atmosphere."', 'weight': 8.0, 'source_id': 'chunk-9c43dac2fcd5b578242d907ea6f8fc7b'}> +2024-10-30 06:05:51,260 - lightrag - INFO - _check_edge_existence:query:MATCH (a:`MARLEY`)-[r]-(b:`THE GHOST`) RETURN COUNT(r) > 0 AS edgeExists:result:True +2024-10-30 06:05:51,395 - lightrag - INFO - get_edge:query: + MATCH (source:`MARLEY`)-[r]-(target:`THE GHOST`) + RETURN r + :result:, ) type='DIRECTED' properties={'keywords': '"haunting, past choices"', 'description': '"Marley is the embodiment of The Ghost that appears to Scrooge, representing past choices and the consequences of his actions."', 'weight': 9.0, 'source_id': 'chunk-9c43dac2fcd5b578242d907ea6f8fc7b'}> +2024-10-30 06:05:51,535 - lightrag - INFO - _check_edge_existence:query:MATCH (a:`SCROOGE`)-[r]-(b:`THE BELL`) RETURN COUNT(r) > 0 AS edgeExists:result:True +2024-10-30 06:05:51,669 - lightrag - INFO - get_edge:query: + MATCH (source:`SCROOGE`)-[r]-(target:`THE BELL`) + RETURN r + :result:, ) type='DIRECTED' properties={'keywords': '"foreboding, supernatural"', 'description': '"The Bell\'s movement and sound foreshadow Marley\'s Ghost\'s appearance, enhancing the sense of impending supernatural activity in Scrooge\'s environment."', 'weight': 8.0, 'source_id': 'chunk-9c43dac2fcd5b578242d907ea6f8fc7b'}> +2024-10-30 06:05:51,807 - lightrag - INFO - _check_edge_existence:query:MATCH (a:`MARLEY`)-[r]-(b:`THE HEAVY CHAIN`) RETURN COUNT(r) > 0 AS edgeExists:result:True +2024-10-30 06:05:51,946 - lightrag - INFO - get_edge:query: + MATCH (source:`MARLEY`)-[r]-(target:`THE HEAVY CHAIN`) + RETURN r + :result:, ) type='DIRECTED' properties={'keywords': '"burden, consequence"', 'description': '"The Heavy Chain is linked to Marley as it suggests the burdens he carries from his earthly life, which he now haunts Scrooge with."', 'weight': 9.0, 'source_id': 'chunk-9c43dac2fcd5b578242d907ea6f8fc7b'}> +2024-10-30 06:05:52,088 - lightrag - INFO - _check_edge_existence:query:MATCH (a:`SCROOGE`)-[r]-(b:`THE WINE-MERCHANT'S CELLAR`) RETURN COUNT(r) > 0 AS edgeExists:result:True +2024-10-30 06:05:52,222 - lightrag - INFO - get_edge:query: + MATCH (source:`SCROOGE`)-[r]-(target:`THE WINE-MERCHANT'S CELLAR`) + RETURN r + :result:, ) type='DIRECTED' properties={'keywords': '"atmosphere, haunting"', 'description': '"Scrooge hears the dragging chains from The Wine-Merchant\'s Cellar, indicating that the haunting presence is felt throughout The House."', 'weight': 8.0, 'source_id': 'chunk-9c43dac2fcd5b578242d907ea6f8fc7b'}> +2024-10-30 06:05:52,360 - lightrag - INFO - _check_edge_existence:query:MATCH (a:`SCROOGE`)-[r]-(b:`THE GRATE`) RETURN COUNT(r) > 0 AS edgeExists:result:True +2024-10-30 06:05:52,495 - lightrag - INFO - get_edge:query: + MATCH (source:`SCROOGE`)-[r]-(target:`THE GRATE`) + RETURN r + :result:, ) type='DIRECTED' properties={'keywords': '"isolation, setting mood"', 'description': '"The Grate\'s cold fire adds to the bleak setting of Scrooge\'s home, illustrating his disconnection from warmth and comfort before the supernatural events unfold."', 'weight': 6.0, 'source_id': 'chunk-9c43dac2fcd5b578242d907ea6f8fc7b'}> +2024-10-30 06:05:52,634 - lightrag - INFO - _check_edge_existence:query:MATCH (a:`SCROOGE`)-[r]-(b:`THE DYING FLAME`) RETURN COUNT(r) > 0 AS edgeExists:result:True +2024-10-30 06:05:52,765 - lightrag - INFO - get_edge:query: + MATCH (source:`SCROOGE`)-[r]-(target:`THE DYING FLAME`) + RETURN r + :result:, ) type='DIRECTED' properties={'keywords': '"fear, conflict"', 'description': '"The Dying Flame\'s flickering is reflective of Scrooge\'s fear and mental state in the presence of the ghost, amplifying his internal conflict."', 'weight': 8.0, 'source_id': 'chunk-9c43dac2fcd5b578242d907ea6f8fc7b'}> +2024-10-30 06:05:52,902 - lightrag - INFO - _check_edge_existence:query:MATCH (a:`MARLEY'S GHOST`)-[r]-(b:`SCROOGE`) RETURN COUNT(r) > 0 AS edgeExists:result:True +2024-10-30 06:05:53,034 - lightrag - INFO - get_edge:query: + MATCH (source:`MARLEY'S GHOST`)-[r]-(target:`SCROOGE`) + RETURN r + :result:, ) type='DIRECTED' properties={'keywords': '"supernatural confrontation, regret""warning, fate"', 'description': '"Marley\'s Ghost warns Scrooge about the consequences of his actions and the visits of the three spirits, setting the stage for his transformation.""Scrooge is haunted by Marley\'s Ghost, which confronts him as a part of a supernatural occurrence meant to incite fear and reflection on his life choices."', 'weight': 18.0, 'source_id': 'chunk-9c43dac2fcd5b578242d907ea6f8fc7bchunk-cb661c37436355ccec2769b1d0350c5f'}> +2024-10-30 06:05:53,176 - lightrag - INFO - _check_edge_existence:query:MATCH (a:`JACOB MARLEY`)-[r]-(b:`MARLEY'S GHOST`) RETURN COUNT(r) > 0 AS edgeExists:result:True +2024-10-30 06:05:53,314 - lightrag - INFO - get_edge:query: + MATCH (source:`JACOB MARLEY`)-[r]-(target:`MARLEY'S GHOST`) + RETURN r + :result:, ) type='DIRECTED' properties={'keywords': '"past partnership, redemption"', 'description': '"Jacob Marley is the entity represented by Marley\'s Ghost, embodying the warning about the repercussions of a life focused solely on material gain."', 'weight': 9.0, 'source_id': 'chunk-1aa50206d02ed89418f65f97c6441d1c'}> +2024-10-30 06:05:53,459 - lightrag - INFO - _check_edge_existence:query:MATCH (a:`GHOST`)-[r]-(b:`SCROOGE`) RETURN COUNT(r) > 0 AS edgeExists:result:True +2024-10-30 06:05:53,593 - lightrag - INFO - get_edge:query: + MATCH (source:`GHOST`)-[r]-(target:`SCROOGE`) + RETURN r + :result:, ) type='DIRECTED' properties={'keywords': '"reflection, self-discovery""spiritual guidance, transformation"', 'description': '"The Ghost guides Scrooge through reflections of his past, influencing his journey toward redemption.""The Ghost takes Scrooge on a journey to teach him lessons about generosity and compassion towards others."', 'weight': 17.0, 'source_id': 'chunk-c6c248858d1b13ab7ee9ca13c1aeed6bchunk-e7637ff18c5ded77a68cce0a87883fad'}> +2024-10-30 06:05:53,732 - lightrag - INFO - _check_edge_existence:query:MATCH (a:`GHOST`)-[r]-(b:`JACOB MARLEY`) RETURN COUNT(r) > 0 AS edgeExists:result:True +2024-10-30 06:05:53,863 - lightrag - INFO - get_edge:query: + MATCH (source:`GHOST`)-[r]-(target:`JACOB MARLEY`) + RETURN r + :result:, ) type='DIRECTED' properties={'keywords': '"identity, remorse"', 'description': '"The Ghost is revealed to be Jacob Marley, who embodies the regret of a wasted life and the importance of personal responsibility."', 'weight': 10.0, 'source_id': 'chunk-359187e7571bda4b0b08b2e0b6581e52'}> +2024-10-30 06:05:54,004 - lightrag - INFO - _check_edge_existence:query:MATCH (a:`JACOB MARLEY`)-[r]-(b:`SCROOGE`) RETURN COUNT(r) > 0 AS edgeExists:result:True +2024-10-30 06:05:54,141 - lightrag - INFO - get_edge:query: + MATCH (source:`JACOB MARLEY`)-[r]-(target:`SCROOGE`) + RETURN r + :result:, ) type='DIRECTED' properties={'keywords': '"catalyst for change, supernatural guidance""past influence, warning""redemption, moral lesson""supernatural encounter, past ties""transformation, influence""warning, transformation"', 'description': '"Jacob Marley is the spirit who brings forth the need for Scrooge to change his ways, impacting his character development.""Scrooge confronts Jacob Marley, his former business partner, who returns as a ghost to influence Scrooge\'s perspective on life and his actions.""Scrooge converses with the ghost of Jacob Marley, who tries to guide him toward understanding the importance of compassion and the consequences of his actions.""Scrooge interacts with Jacob Marley, who serves as a critical warning for Scrooge to change his ways before it\'s too late.""Scrooge reflects on Jacob Marley’s past warnings, which serve as a catalyst for his transformation.""Scrooge\'s transformation is prompted by the appearance and message of Jacob Marley, his former business partner."', 'weight': 54.0, 'source_id': 'chunk-90b95db5c53e4364a6bee36b7aa4d70fchunk-1aa50206d02ed89418f65f97c6441d1cchunk-02baee20cc9463dbe08170a8e1043e32chunk-91572b3cd42786ba4cb2f180ca25cbf4chunk-da2472b4ef2a535b62908f14d0fb0ca9chunk-359187e7571bda4b0b08b2e0b6581e52'}> +2024-10-30 06:05:54,291 - lightrag - INFO - _check_edge_existence:query:MATCH (a:`GHOST`)-[r]-(b:`MANKIND`) RETURN COUNT(r) > 0 AS edgeExists:result:True +2024-10-30 06:05:54,435 - lightrag - INFO - get_edge:query: + MATCH (source:`GHOST`)-[r]-(target:`MANKIND`) + RETURN r + :result:, ) type='DIRECTED' properties={'keywords': '"moral duty, call to action"', 'description': '"The Ghost emphasizes that Mankind was his true business in life, urging Scrooge to focus on the welfare of others."', 'weight': 9.0, 'source_id': 'chunk-359187e7571bda4b0b08b2e0b6581e52'}> +2024-10-30 06:05:54,575 - lightrag - INFO - _check_edge_existence:query:MATCH (a:`CHRISTMAS EVES`)-[r]-(b:`SCROOGE`) RETURN COUNT(r) > 0 AS edgeExists:result:True +2024-10-30 06:05:54,705 - lightrag - INFO - get_edge:query: + MATCH (source:`CHRISTMAS EVES`)-[r]-(target:`SCROOGE`) + RETURN r + :result:, ) type='DIRECTED' properties={'keywords': '"time of reflection, redemption"', 'description': '"Christmas Eves symbolize a critical time for self-reflection and understanding one\'s past decisions, linking to Scrooge\'s journey of redemption."', 'weight': 7.0, 'source_id': 'chunk-359187e7571bda4b0b08b2e0b6581e52'}> +2024-10-30 06:05:54,843 - lightrag - INFO - _check_edge_existence:query:MATCH (a:`ETERNAL CHAIN`)-[r]-(b:`GHOST`) RETURN COUNT(r) > 0 AS edgeExists:result:True +2024-10-30 06:05:54,981 - lightrag - INFO - get_edge:query: + MATCH (source:`ETERNAL CHAIN`)-[r]-(target:`GHOST`) + RETURN r + :result:, ) type='DIRECTED' properties={'keywords': '"burden, regret"', 'description': '"The Ghost describes the Eternal Chain as a symbol of the burdens he carries due to his life choices, emphasizing the consequences of neglecting humanity."', 'weight': 9.0, 'source_id': 'chunk-359187e7571bda4b0b08b2e0b6581e52'}> +2024-10-30 06:05:55,130 - lightrag - INFO - _check_edge_existence:query:MATCH (a:`STAR`)-[r]-(b:`WISE MEN`) RETURN COUNT(r) > 0 AS edgeExists:result:True +2024-10-30 06:05:55,270 - lightrag - INFO - get_edge:query: + MATCH (source:`STAR`)-[r]-(target:`WISE MEN`) + RETURN r + :result:, ) type='DIRECTED' properties={'keywords': '"guidance, generosity"', 'description': '"The Star guided the Wise Men to recognize the importance of giving, which relates to the values that the Ghost tries to impart to Scrooge."', 'weight': 7.0, 'source_id': 'chunk-359187e7571bda4b0b08b2e0b6581e52'}> +2024-10-30 06:05:55,416 - lightrag - INFO - _check_edge_existence:query:MATCH (a:`FELLOW-BEINGS`)-[r]-(b:`SCROOGE`) RETURN COUNT(r) > 0 AS edgeExists:result:True +2024-10-30 06:05:55,548 - lightrag - INFO - get_edge:query: + MATCH (source:`FELLOW-BEINGS`)-[r]-(target:`SCROOGE`) + RETURN r + :result:, ) type='DIRECTED' properties={'keywords': '"neglect, realization"', 'description': '"Scrooge is confronted with his past choices to ignore Fellow-beings, leading to a realization of his moral failures."', 'weight': 8.0, 'source_id': 'chunk-359187e7571bda4b0b08b2e0b6581e52'}> +2024-10-30 06:05:55,689 - lightrag - INFO - _check_edge_existence:query:MATCH (a:`CHRISTMAS SPIRIT`)-[r]-(b:`GHOST`) RETURN COUNT(r) > 0 AS edgeExists:result:True +2024-10-30 06:05:55,821 - lightrag - INFO - get_edge:query: + MATCH (source:`CHRISTMAS SPIRIT`)-[r]-(target:`GHOST`) + RETURN r + :result:, ) type='DIRECTED' properties={'keywords': '"values, transformation"', 'description': '"The Ghost embodies the Christmas Spirit\'s values of compassion and kindness, urging Scrooge to reconsider his way of living."', 'weight': 9.0, 'source_id': 'chunk-359187e7571bda4b0b08b2e0b6581e52'}> +2024-10-30 06:05:55,961 - lightrag - INFO - _check_edge_existence:query:MATCH (a:`GHOST`)-[r]-(b:`SPECTRE`) RETURN COUNT(r) > 0 AS edgeExists:result:True +2024-10-30 06:05:56,096 - lightrag - INFO - get_edge:query: + MATCH (source:`GHOST`)-[r]-(target:`SPECTRE`) + RETURN r + :result:, ) type='DIRECTED' properties={'keywords': '"identity, motivation"', 'description': '"The Spectre is synonymous with the Ghost, representing the collective spirit urging Scrooge to change his ways."', 'weight': 10.0, 'source_id': 'chunk-359187e7571bda4b0b08b2e0b6581e52'}> +2024-10-30 06:05:56,237 - lightrag - INFO - _check_edge_existence:query:MATCH (a:`JACOB MARLEY`)-[r]-(b:`THE THREE SPIRITS`) RETURN COUNT(r) > 0 AS edgeExists:result:True +2024-10-30 06:05:56,375 - lightrag - INFO - get_edge:query: + MATCH (source:`JACOB MARLEY`)-[r]-(target:`THE THREE SPIRITS`) + RETURN r + :result:, ) type='DIRECTED' properties={'keywords': '"guidance, redemption"', 'description': '"Jacob Marley indicates that Scrooge will be visited by The Three Spirits to offer him guidance and the chance for redemption."', 'weight': 8.0, 'source_id': 'chunk-cb661c37436355ccec2769b1d0350c5f'}> +2024-10-30 06:05:56,517 - lightrag - INFO - _check_edge_existence:query:MATCH (a:`SCROOGE`)-[r]-(b:`THE GHOST`) RETURN COUNT(r) > 0 AS edgeExists:result:True +2024-10-30 06:05:56,652 - lightrag - INFO - get_edge:query: + MATCH (source:`SCROOGE`)-[r]-(target:`THE GHOST`) + RETURN r + :result:, ) type='DIRECTED' properties={'keywords': '"guidance, transformation""memory, influence""reflection, guidance""self-reflection, transformation"', 'description': '"Scrooge\'s engagement with The Ghost prompts a significant emotional and psychological transformation as he confronts his past.""The Ghost guides Scrooge through visions of his past, forcing him to confront his choices and their consequences.""The Ghost influences Scrooge\'s reflections on his past and his current emotions regarding Christmas festivities.""The Ghost serves as a catalyst for Scrooge\'s reflections, guiding him to confront his past and feelings about Christmas."', 'weight': 35.0, 'source_id': 'chunk-da2472b4ef2a535b62908f14d0fb0ca9chunk-43c9bee23adfa77aa9dedd22401bba7dchunk-54bdd22db1f84a965b5f4c06c9216d8dchunk-8590d9263cd2cd4fa583c432fc54e6c3'}> +2024-10-30 06:05:56,793 - lightrag - INFO - _check_edge_existence:query:MATCH (a:`SCROOGE`)-[r]-(b:`THE PHANTOM VOICES`) RETURN COUNT(r) > 0 AS edgeExists:result:True +2024-10-30 06:05:56,930 - lightrag - INFO - get_edge:query: + MATCH (source:`SCROOGE`)-[r]-(target:`THE PHANTOM VOICES`) + RETURN r + :result:, ) type='DIRECTED' properties={'keywords': '"regret, lost opportunities"', 'description': '"Scrooge hears the lamentations of The Phantom Voices, reflecting his connection to the spirits of the lost and the consequences of his life choices."', 'weight': 6.0, 'source_id': 'chunk-cb661c37436355ccec2769b1d0350c5f'}> +2024-10-30 06:05:57,070 - lightrag - INFO - _check_edge_existence:query:MATCH (a:`SCROOGE`)-[r]-(b:`THE WINDOW`) RETURN COUNT(r) > 0 AS edgeExists:result:True +2024-10-30 06:05:57,205 - lightrag - INFO - get_edge:query: + MATCH (source:`SCROOGE`)-[r]-(target:`THE WINDOW`) + RETURN r + :result:, ) type='DIRECTED' properties={'keywords': '"curiosity, fear"', 'description': '"Scrooge approaches The Window, which acts as a portal to the outside world and the supernatural, illustrating his curiosity and fear."', 'weight': 5.0, 'source_id': 'chunk-cb661c37436355ccec2769b1d0350c5f'}> +2024-10-30 06:05:57,344 - lightrag - INFO - _check_edge_existence:query:MATCH (a:`MARLEY'S GHOST`)-[r]-(b:`THE CHAIN`) RETURN COUNT(r) > 0 AS edgeExists:result:True +2024-10-30 06:05:57,478 - lightrag - INFO - get_edge:query: + MATCH (source:`MARLEY'S GHOST`)-[r]-(target:`THE CHAIN`) + RETURN r + :result:, ) type='DIRECTED' properties={'keywords': '"regret, warning"', 'description': '"Marley\'s Ghost is bound by The Chain, which symbolizes his regrets and serves as a warning to Scrooge about the consequences of his own actions."', 'weight': 9.0, 'source_id': 'chunk-cb661c37436355ccec2769b1d0350c5f'}> +2024-10-30 06:05:57,616 - lightrag - INFO - _check_edge_existence:query:MATCH (a:`SCROOGE`)-[r]-(b:`THE CLOCK`) RETURN COUNT(r) > 0 AS edgeExists:result:True +2024-10-30 06:05:57,746 - lightrag - INFO - get_edge:query: + MATCH (source:`SCROOGE`)-[r]-(target:`THE CLOCK`) + RETURN r + :result:, ) type='DIRECTED' properties={'keywords': '"time distortion, confusion"', 'description': '"Scrooge\'s interaction with the faulty clock symbolizes his disconnection from time and reality, as he struggles to comprehend his experiences."', 'weight': 6.0, 'source_id': 'chunk-cb661c37436355ccec2769b1d0350c5f'}> +2024-10-30 06:05:57,879 - lightrag - INFO - _check_edge_existence:query:MATCH (a:`SCROOGE`)-[r]-(b:`THE DARKNESS`) RETURN COUNT(r) > 0 AS edgeExists:result:True +2024-10-30 06:05:58,012 - lightrag - INFO - get_edge:query: + MATCH (source:`SCROOGE`)-[r]-(target:`THE DARKNESS`) + RETURN r + :result:, ) type='DIRECTED' properties={'keywords': '"internal struggle, unknown"', 'description': '"Scrooge finds himself enveloped by The Darkness, representing his internal struggle and the unknown future he faces."', 'weight': 6.0, 'source_id': 'chunk-cb661c37436355ccec2769b1d0350c5f'}> +2024-10-30 06:05:58,156 - lightrag - INFO - _check_edge_existence:query:MATCH (a:`CLOCK`)-[r]-(b:`SCROOGE`) RETURN COUNT(r) > 0 AS edgeExists:result:True +2024-10-30 06:05:58,288 - lightrag - INFO - get_edge:query: + MATCH (source:`CLOCK`)-[r]-(target:`SCROOGE`) + RETURN r + :result:, ) type='DIRECTED' properties={'keywords': '"time symbolism, anxiety"', 'description': '"Scrooge\'s observations of the Clock reflect his anxiety over time and the supernatural events unfolding around him."', 'weight': 7.0, 'source_id': 'chunk-c7b10789a9cb0af6c553730b29bd9034'}> +2024-10-30 06:05:58,428 - lightrag - INFO - _check_edge_existence:query:MATCH (a:`SCROOGE`)-[r]-(b:`SPIRIT`) RETURN COUNT(r) > 0 AS edgeExists:result:True +2024-10-30 06:05:58,563 - lightrag - INFO - get_edge:query: + MATCH (source:`SCROOGE`)-[r]-(target:`SPIRIT`) + RETURN r + :result:, ) type='DIRECTED' properties={'keywords': '"guidance, emotional journey""guidance, transformation""personal growth, spiritual journey""reflection, guidance"', 'description': '"Scrooge engages with the Spirit, who guides him through reflections on his life and warns him of societal issues.""Scrooge learns from the Spirit about the consequences of his actions and the sentiments evoked by death, leading to personal growth.""Scrooge’s interaction with the Spirit emphasizes the emotional weight of his past decisions and feelings as they relate to his transformation.""The Spirit directly influences Scrooge’s transformation and highlights the importance of compassion in human life."', 'weight': 34.0, 'source_id': 'chunk-02baee20cc9463dbe08170a8e1043e32chunk-bb21d58d36c6306fd8810ddd51c4a971chunk-83ac129dc9b56f84c46760d153d68e93chunk-e7637ff18c5ded77a68cce0a87883fad'}> +2024-10-30 06:05:58,702 - lightrag - INFO - _check_edge_existence:query:MATCH (a:`GHOST OF CHRISTMAS PAST`)-[r]-(b:`WINTER DAY`) RETURN COUNT(r) > 0 AS edgeExists:result:True +2024-10-30 06:05:58,834 - lightrag - INFO - get_edge:query: + MATCH (source:`GHOST OF CHRISTMAS PAST`)-[r]-(target:`WINTER DAY`) + RETURN r + :result:, ) type='DIRECTED' properties={'keywords': '"nostalgia, memory"', 'description': '"The Ghost leads Scrooge to experience a winter day from his memories, emphasizing feelings of nostalgia and longing."', 'weight': 9.0, 'source_id': 'chunk-bb21d58d36c6306fd8810ddd51c4a971'}> +2024-10-30 06:05:58,973 - lightrag - INFO - _check_edge_existence:query:MATCH (a:`MARKET-TOWN`)-[r]-(b:`SCROOGE`) RETURN COUNT(r) > 0 AS edgeExists:result:True +2024-10-30 06:05:59,107 - lightrag - INFO - get_edge:query: + MATCH (source:`MARKET-TOWN`)-[r]-(target:`SCROOGE`) + RETURN r + :result:, ) type='DIRECTED' properties={'keywords': '"nostalgia, memory"', 'description': '"Scrooge recognizes the Market-Town, eliciting fond memories from his childhood and emphasizing his emotional response to the past."', 'weight': 7.0, 'source_id': 'chunk-bb21d58d36c6306fd8810ddd51c4a971'}> +2024-10-30 06:05:59,245 - lightrag - INFO - _check_edge_existence:query:MATCH (a:`BOYS`)-[r]-(b:`SCROOGE`) RETURN COUNT(r) > 0 AS edgeExists:result:True +2024-10-30 06:05:59,379 - lightrag - INFO - get_edge:query: + MATCH (source:`BOYS`)-[r]-(target:`SCROOGE`) + RETURN r + :result:, ) type='DIRECTED' properties={'keywords': '"joy, childhood memories"', 'description': '"Scrooge feels joy upon seeing the boys, evoking memories of childhood experiences and emotions associated with them."', 'weight': 7.0, 'source_id': 'chunk-bb21d58d36c6306fd8810ddd51c4a971'}> +2024-10-30 06:05:59,523 - lightrag - INFO - _check_edge_existence:query:MATCH (a:`BOYS`)-[r]-(b:`SHAGGY PONIES`) RETURN COUNT(r) > 0 AS edgeExists:result:True +2024-10-30 06:05:59,660 - lightrag - INFO - get_edge:query: + MATCH (source:`BOYS`)-[r]-(target:`SHAGGY PONIES`) + RETURN r + :result:, ) type='DIRECTED' properties={'keywords': '"playfulness, childhood"', 'description': '"The boys interact with the shaggy ponies, highlighting the carefree and playful nature of youth in Scrooge\'s memories."', 'weight': 6.0, 'source_id': 'chunk-bb21d58d36c6306fd8810ddd51c4a971'}> +2024-10-30 06:05:59,793 - lightrag - INFO - _check_edge_existence:query:MATCH (a:`BRIDGE`)-[r]-(b:`SCROOGE`) RETURN COUNT(r) > 0 AS edgeExists:result:True +2024-10-30 06:05:59,928 - lightrag - INFO - get_edge:query: + MATCH (source:`BRIDGE`)-[r]-(target:`SCROOGE`) + RETURN r + :result:, ) type='DIRECTED' properties={'keywords': '"memory, landmark"', 'description': '"The bridge serves as a significant landmark in Scrooge\'s past, reminding him of his childhood and former happiness."', 'weight': 7.0, 'source_id': 'chunk-bb21d58d36c6306fd8810ddd51c4a971'}> +2024-10-30 06:06:00,066 - lightrag - INFO - _check_edge_existence:query:MATCH (a:`CHURCH`)-[r]-(b:`SCROOGE`) RETURN COUNT(r) > 0 AS edgeExists:result:True +2024-10-30 06:06:00,202 - lightrag - INFO - get_edge:query: + MATCH (source:`CHURCH`)-[r]-(target:`SCROOGE`) + RETURN r + :result:, ) type='DIRECTED' properties={'keywords': '"community, contrast"', 'description': '"The church symbolizes the community and settings of Scrooge\'s past, highlighting the contrast between then and now."', 'weight': 8.0, 'source_id': 'chunk-bb21d58d36c6306fd8810ddd51c4a971'}> +2024-10-30 06:06:00,339 - lightrag - INFO - _check_edge_existence:query:MATCH (a:`SCROOGE`)-[r]-(b:`WINDING RIVER`) RETURN COUNT(r) > 0 AS edgeExists:result:True +2024-10-30 06:06:00,476 - lightrag - INFO - get_edge:query: + MATCH (source:`SCROOGE`)-[r]-(target:`WINDING RIVER`) + RETURN r + :result:, ) type='DIRECTED' properties={'keywords': '"nostalgia, memory"', 'description': '"The winding river evokes memories and emotions for Scrooge, connecting him to his past experiences and places."', 'weight': 8.0, 'source_id': 'chunk-bb21d58d36c6306fd8810ddd51c4a971'}> +2024-10-30 06:06:00,615 - lightrag - INFO - _check_edge_existence:query:MATCH (a:`GHOST OF CHRISTMAS PAST`)-[r]-(b:`SCROOGE'S MEMORIES`) RETURN COUNT(r) > 0 AS edgeExists:result:True +2024-10-30 06:06:00,750 - lightrag - INFO - get_edge:query: + MATCH (source:`GHOST OF CHRISTMAS PAST`)-[r]-(target:`SCROOGE'S MEMORIES`) + RETURN r + :result:, ) type='DIRECTED' properties={'keywords': '"memory, confrontation"', 'description': '"The Ghost facilitates Scrooge\'s recollection of his memories, allowing him to confront his past choices."', 'weight': 9.0, 'source_id': 'chunk-bb21d58d36c6306fd8810ddd51c4a971'}> +2024-10-30 06:06:00,888 - lightrag - INFO - _check_edge_existence:query:MATCH (a:`SCROOGE`)-[r]-(b:`THE SPIRIT`) RETURN COUNT(r) > 0 AS edgeExists:result:True +2024-10-30 06:06:01,021 - lightrag - INFO - get_edge:query: + MATCH (source:`SCROOGE`)-[r]-(target:`THE SPIRIT`) + RETURN r + :result:, ) type='DIRECTED' properties={'keywords': '"guidance, transformation""moral guidance, transformation""self-reflection, transformation""supernatural guidance, self-reflection""supernatural intervention, guidance"', 'description': '"Scrooge engages with the Spirit as it reveals memories that prompt significant self-reflection and consideration of change.""Scrooge is guided by the Spirit, who shows him different scenes related to the joy and struggles of Christmas, aiming to change his heart.""The Spirit challenges Scrooge\'s perspective on life, urging him to consider the implications of his actions in light of death.""The Spirit represents an upcoming change in Scrooge\'s life, aiming to guide him towards redemption.""The Spirit represents moral lessons and urges Scrooge to change his ways for a better future."', 'weight': 47.0, 'source_id': 'chunk-b2f98bc7abb0c67d4c86055c7fd72218chunk-e1f29eeadc1d8ab46dc8a0bbd3c56b64chunk-91572b3cd42786ba4cb2f180ca25cbf4chunk-da2472b4ef2a535b62908f14d0fb0ca9chunk-91614df5cb74cbe5e109a338a82041e9'}> +2024-10-30 06:06:01,155 - lightrag - INFO - _check_edge_existence:query:MATCH (a:`ALI BABA`)-[r]-(b:`SCROOGE`) RETURN COUNT(r) > 0 AS edgeExists:result:True +2024-10-30 06:06:01,291 - lightrag - INFO - get_edge:query: + MATCH (source:`ALI BABA`)-[r]-(target:`SCROOGE`) + RETURN r + :result:, ) type='DIRECTED' properties={'keywords': '"nostalgia, childhood stories"', 'description': '"Scrooge recalls Ali Baba while reflecting on memories of Christmas, indicating a strong personal connection to the story and its impact on him."', 'weight': 8.0, 'source_id': 'chunk-8590d9263cd2cd4fa583c432fc54e6c3'}> +2024-10-30 06:06:01,431 - lightrag - INFO - _check_edge_existence:query:MATCH (a:`SCROOGE`)-[r]-(b:`VALENTINE`) RETURN COUNT(r) > 0 AS edgeExists:result:True +2024-10-30 06:06:01,564 - lightrag - INFO - get_edge:query: + MATCH (source:`SCROOGE`)-[r]-(target:`VALENTINE`) + RETURN r + :result:, ) type='DIRECTED' properties={'keywords': '"family memories, nostalgia"', 'description': '"Scrooge\'s mention of Valentine signifies his memories of familial ties and childhood experiences during Christmas."', 'weight': 6.0, 'source_id': 'chunk-8590d9263cd2cd4fa583c432fc54e6c3'}> +2024-10-30 06:06:01,698 - lightrag - INFO - _check_edge_existence:query:MATCH (a:`ORSON`)-[r]-(b:`VALENTINE`) RETURN COUNT(r) > 0 AS edgeExists:result:True +2024-10-30 06:06:01,833 - lightrag - INFO - get_edge:query: + MATCH (source:`ORSON`)-[r]-(target:`VALENTINE`) + RETURN r + :result:, ) type='DIRECTED' properties={'keywords': '"family, nostalgia"', 'description': '"Orson and Valentine are brothers in the stories remembered by Scrooge, representing familial bonds in his past."', 'weight': 8.0, 'source_id': 'chunk-8590d9263cd2cd4fa583c432fc54e6c3'}> +2024-10-30 06:06:01,974 - lightrag - INFO - _check_edge_existence:query:MATCH (a:`CHILD`)-[r]-(b:`SCROOGE`) RETURN COUNT(r) > 0 AS edgeExists:result:True +2024-10-30 06:06:02,110 - lightrag - INFO - get_edge:query: + MATCH (source:`CHILD`)-[r]-(target:`SCROOGE`) + RETURN r + :result:, ) type='DIRECTED' properties={'keywords': '"self-reflection, past connection"', 'description': '"Scrooge sees his younger self in the solitary child, sparking deep emotional reflections about his past and choices."', 'weight': 8.0, 'source_id': 'chunk-8590d9263cd2cd4fa583c432fc54e6c3'}> +2024-10-30 06:06:02,248 - lightrag - INFO - _check_edge_existence:query:MATCH (a:`ALI BABA`)-[r]-(b:`ROBIN CRUSOE`) RETURN COUNT(r) > 0 AS edgeExists:result:True +2024-10-30 06:06:02,384 - lightrag - INFO - get_edge:query: + MATCH (source:`ALI BABA`)-[r]-(target:`ROBIN CRUSOE`) + RETURN r + :result:, ) type='DIRECTED' properties={'keywords': '"literary connection, childhood memories"', 'description': '"Both Ali Baba and Robin Crusoe represent figures from stories that shaped Scrooge\'s childhood memories and sentiments towards Christmas."', 'weight': 7.0, 'source_id': 'chunk-8590d9263cd2cd4fa583c432fc54e6c3'}> +2024-10-30 06:06:02,525 - lightrag - INFO - _check_edge_existence:query:MATCH (a:`MANSION`)-[r]-(b:`SCROOGE`) RETURN COUNT(r) > 0 AS edgeExists:result:True +2024-10-30 06:06:02,659 - lightrag - INFO - get_edge:query: + MATCH (source:`MANSION`)-[r]-(target:`SCROOGE`) + RETURN r + :result:, ) type='DIRECTED' properties={'keywords': '"symbolism, emotional state"', 'description': '"The Mansion symbolizes the neglect and decay that parallels Scrooge\'s own emotional state and memories of his past."', 'weight': 8.0, 'source_id': 'chunk-8590d9263cd2cd4fa583c432fc54e6c3'}> +2024-10-30 06:06:02,796 - lightrag - INFO - _check_edge_existence:query:MATCH (a:`MANSION`)-[r]-(b:`THE GHOST`) RETURN COUNT(r) > 0 AS edgeExists:result:True +2024-10-30 06:06:02,931 - lightrag - INFO - get_edge:query: + MATCH (source:`MANSION`)-[r]-(target:`THE GHOST`) + RETURN r + :result:, ) type='DIRECTED' properties={'keywords': '"guidance, contrast"', 'description': '"The Ghost guides Scrooge through the Mansion, illustrating the contrast between past warmth and present decay."', 'weight': 9.0, 'source_id': 'chunk-8590d9263cd2cd4fa583c432fc54e6c3'}> +2024-10-30 06:06:03,068 - lightrag - INFO - _check_edge_existence:query:MATCH (a:`FRIDAY`)-[r]-(b:`ROBIN CRUSOE`) RETURN COUNT(r) > 0 AS edgeExists:result:True +2024-10-30 06:06:03,204 - lightrag - INFO - get_edge:query: + MATCH (source:`FRIDAY`)-[r]-(target:`ROBIN CRUSOE`) + RETURN r + :result:, ) type='DIRECTED' properties={'keywords': '"friendship, adventure"', 'description': '"Friday serves alongside Robin Crusoe in the stories remembered by Scrooge, representing loyalty and friendship in adventure."', 'weight': 7.0, 'source_id': 'chunk-8590d9263cd2cd4fa583c432fc54e6c3'}> +2024-10-30 06:06:03,343 - lightrag - INFO - _check_edge_existence:query:MATCH (a:`SCROOGE`)-[r]-(b:`THE PARROT`) RETURN COUNT(r) > 0 AS edgeExists:result:True +2024-10-30 06:06:03,477 - lightrag - INFO - get_edge:query: + MATCH (source:`SCROOGE`)-[r]-(target:`THE PARROT`) + RETURN r + :result:, ) type='DIRECTED' properties={'keywords': '"nostalgia, whimsy"', 'description': '"Scrooge recalls the Parrot associated with his memories of Robin Crusoe, highlighting the whimsical and nostalgic aspects of his reflections."', 'weight': 6.0, 'source_id': 'chunk-8590d9263cd2cd4fa583c432fc54e6c3'}> +2024-10-30 06:06:03,615 - lightrag - INFO - _check_edge_existence:query:MATCH (a:`CHILD`)-[r]-(b:`THE SPIRIT`) RETURN COUNT(r) > 0 AS edgeExists:result:True +2024-10-30 06:06:03,750 - lightrag - INFO - get_edge:query: + MATCH (source:`CHILD`)-[r]-(target:`THE SPIRIT`) + RETURN r + :result:, ) type='DIRECTED' properties={'keywords': '"remembrance, neglect"', 'description': '"The Spirit points Scrooge to the Child, emphasizing themes of neglect, remembrance, and the importance of past experiences."', 'weight': 8.0, 'source_id': 'chunk-8590d9263cd2cd4fa583c432fc54e6c3'}> +2024-10-30 06:06:03,887 - lightrag - INFO - _check_edge_existence:query:MATCH (a:`DICK WILKINS`)-[r]-(b:`FEZZIWIG`) RETURN COUNT(r) > 0 AS edgeExists:result:True +2024-10-30 06:06:04,024 - lightrag - INFO - get_edge:query: + MATCH (source:`DICK WILKINS`)-[r]-(target:`FEZZIWIG`) + RETURN r + :result:, ) type='DIRECTED' properties={'keywords': '"apprenticeship, camaraderie"', 'description': '"Fezziwig and Dick Wilkins are connected through their roles in Scrooge\'s past, representing camaraderie and joyful experiences at work."', 'weight': 7.0, 'source_id': 'chunk-c6c248858d1b13ab7ee9ca13c1aeed6b'}> +2024-10-30 06:06:04,163 - lightrag - INFO - _check_edge_existence:query:MATCH (a:`DICK WILKINS`)-[r]-(b:`SCROOGE`) RETURN COUNT(r) > 0 AS edgeExists:result:True +2024-10-30 06:06:04,296 - lightrag - INFO - get_edge:query: + MATCH (source:`DICK WILKINS`)-[r]-(target:`SCROOGE`) + RETURN r + :result:, ) type='DIRECTED' properties={'keywords': '"friendship, apprenticeship"', 'description': '"Scrooge recalls his friendship with Dick Wilkins, highlighting the connections of youth and support during their apprenticeship."', 'weight': 7.0, 'source_id': 'chunk-c6c248858d1b13ab7ee9ca13c1aeed6b'}> +2024-10-30 06:06:04,441 - lightrag - INFO - _check_edge_existence:query:MATCH (a:`CHRISTMAS-TIME`)-[r]-(b:`SCROOGE`) RETURN COUNT(r) > 0 AS edgeExists:result:True +2024-10-30 06:06:04,575 - lightrag - INFO - get_edge:query: + MATCH (source:`CHRISTMAS-TIME`)-[r]-(target:`SCROOGE`) + RETURN r + :result:, ) type='DIRECTED' properties={'keywords': '"cynicism, holiday spirit conflict"', 'description': '"Scrooge views Christmas-time as a burden rather than a celebration, contrasting with the feelings of others around him."', 'weight': 9.0, 'source_id': 'chunk-5dac41b3f9eeaf794f0147400b1718cd'}> +2024-10-30 06:06:04,712 - lightrag - INFO - _check_edge_existence:query:MATCH (a:`SCROOGE`)-[r]-(b:`THE CITY`) RETURN COUNT(r) > 0 AS edgeExists:result:True +2024-10-30 06:06:04,847 - lightrag - INFO - get_edge:query: + MATCH (source:`SCROOGE`)-[r]-(target:`THE CITY`) + RETURN r + :result:, ) type='DIRECTED' properties={'keywords': '"disconnection, personal evolution""reflection, urban life"', 'description': '"Scrooge\'s reflections in the City highlight his relationship with his past and the contrast of his current life.""Scrooge\'s relationship with The City is marked by detachment, representing his lost connection to his past self and experiences."', 'weight': 10.0, 'source_id': 'chunk-bb21d58d36c6306fd8810ddd51c4a971chunk-c6c248858d1b13ab7ee9ca13c1aeed6b'}> +2024-10-30 06:06:04,984 - lightrag - INFO - _check_edge_existence:query:MATCH (a:`DICK WILKINS`)-[r]-(b:`EBENEZER SCROOGE`) RETURN COUNT(r) > 0 AS edgeExists:result:True +2024-10-30 06:06:05,115 - lightrag - INFO - get_edge:query: + MATCH (source:`DICK WILKINS`)-[r]-(target:`EBENEZER SCROOGE`) + RETURN r + :result:, ) type='DIRECTED' properties={'keywords': '"nostalgia, past friendship"', 'description': '"Scrooge remembers Dick Wilkins fondly, showing a connection from their past as apprentices together."', 'weight': 8.0, 'source_id': 'chunk-8bc1edd983869352d14cf0886a9175a7'}> +2024-10-30 06:06:05,253 - lightrag - INFO - _check_edge_existence:query:MATCH (a:`EBENEZER SCROOGE`)-[r]-(b:`FEZZIWIG`) RETURN COUNT(r) > 0 AS edgeExists:result:True +2024-10-30 06:06:05,387 - lightrag - INFO - get_edge:query: + MATCH (source:`EBENEZER SCROOGE`)-[r]-(target:`FEZZIWIG`) + RETURN r + :result:, ) type='DIRECTED' properties={'keywords': '"mentorship, celebration""reflection, mentorship"', 'description': '"Fezziwig created a memorable and joyful atmosphere for Scrooge and his fellow apprentices during the celebration.""Scrooge reflects on his positive memories of Fezziwig, contributing to the theme of mentorship and joy in the past."', 'weight': 17.0, 'source_id': 'chunk-8bc1edd983869352d14cf0886a9175a7'}> +2024-10-30 06:06:05,527 - lightrag - INFO - _check_edge_existence:query:MATCH (a:`CHRISTMAS EVE`)-[r]-(b:`FEZZIWIG`) RETURN COUNT(r) > 0 AS edgeExists:result:True +2024-10-30 06:06:05,662 - lightrag - INFO - get_edge:query: + MATCH (source:`CHRISTMAS EVE`)-[r]-(target:`FEZZIWIG`) + RETURN r + :result:, ) type='DIRECTED' properties={'keywords': '"event significance, festivity"', 'description': '"Fezziwig\'s celebrations take place on Christmas Eve, highlighting the special significance of this event."', 'weight': 10.0, 'source_id': 'chunk-8bc1edd983869352d14cf0886a9175a7'}> +2024-10-30 06:06:05,800 - lightrag - INFO - _check_edge_existence:query:MATCH (a:`FEZZIWIG`)-[r]-(b:`MRS. FEZZIWIG`) RETURN COUNT(r) > 0 AS edgeExists:result:True +2024-10-30 06:06:05,935 - lightrag - INFO - get_edge:query: + MATCH (source:`FEZZIWIG`)-[r]-(target:`MRS. FEZZIWIG`) + RETURN r + :result:, ) type='DIRECTED' properties={'keywords': '"festivity, companionship""partnership, celebration"', 'description': '"Fezziwig and Mrs. Fezziwig dance together, showcasing their joyful relationship and the spirit of togetherness during Christmas.""Fezziwig and Mrs. Fezziwig work together to create a festive and welcoming environment during the domestic ball.""Mrs. Fezziwig partners with Fezziwig in the festivities, highlighting their companionship during the celebrations."', 'weight': 25.0, 'source_id': 'chunk-b2f98bc7abb0c67d4c86055c7fd72218chunk-89777b838d5447c7bd1ec11282c4ee89chunk-8bc1edd983869352d14cf0886a9175a7'}> +2024-10-30 06:06:06,076 - lightrag - INFO - _check_edge_existence:query:MATCH (a:`FEZZIWIG`)-[r]-(b:`THE DANCERS`) RETURN COUNT(r) > 0 AS edgeExists:result:True +2024-10-30 06:06:06,228 - lightrag - INFO - get_edge:query: + MATCH (source:`FEZZIWIG`)-[r]-(target:`THE DANCERS`) + RETURN r + :result:, ) type='DIRECTED' properties={'keywords': '"celebration, community"', 'description': '"The Dancers participate in the lively celebrations orchestrated by Fezziwig, showcasing the joyous atmosphere of the event."', 'weight': 9.0, 'source_id': 'chunk-8bc1edd983869352d14cf0886a9175a7'}> +2024-10-30 06:06:06,377 - lightrag - INFO - _check_edge_existence:query:MATCH (a:`FEZZIWIG`)-[r]-(b:`THE FIDDLER`) RETURN COUNT(r) > 0 AS edgeExists:result:True +2024-10-30 06:06:06,515 - lightrag - INFO - get_edge:query: + MATCH (source:`FEZZIWIG`)-[r]-(target:`THE FIDDLER`) + RETURN r + :result:, ) type='DIRECTED' properties={'keywords': '"musical contribution, festive atmosphere"', 'description': '"The Fiddler provides music for the dance, playing a crucial role in enhancing the festive atmosphere created by Fezziwig."', 'weight': 9.0, 'source_id': 'chunk-8bc1edd983869352d14cf0886a9175a7'}> +2024-10-30 06:06:06,656 - lightrag - INFO - _check_edge_existence:query:MATCH (a:`THE THREE MISS FEZZIWIGS`)-[r]-(b:`THE YOUNG FOLLOWERS`) RETURN COUNT(r) > 0 AS edgeExists:result:True +2024-10-30 06:06:06,792 - lightrag - INFO - get_edge:query: + MATCH (source:`THE THREE MISS FEZZIWIGS`)-[r]-(target:`THE YOUNG FOLLOWERS`) + RETURN r + :result:, ) type='DIRECTED' properties={'keywords': '"community, interactions"', 'description': '"The Three Miss Fezziwigs interact with the Young Followers during the dance, highlighting the communal joy of the celebration."', 'weight': 8.0, 'source_id': 'chunk-8bc1edd983869352d14cf0886a9175a7'}> +2024-10-30 06:06:06,931 - lightrag - INFO - _check_edge_existence:query:MATCH (a:`THE COOK`)-[r]-(b:`THE HOUSEMAID`) RETURN COUNT(r) > 0 AS edgeExists:result:True +2024-10-30 06:06:07,065 - lightrag - INFO - get_edge:query: + MATCH (source:`THE COOK`)-[r]-(target:`THE HOUSEMAID`) + RETURN r + :result:, ) type='DIRECTED' properties={'keywords': '"inclusion, participation"', 'description': '"The Housemaid and The Cook are both present at Fezziwig\'s celebration, participating in the festivities and showcasing the inclusive environment."', 'weight': 7.0, 'source_id': 'chunk-8bc1edd983869352d14cf0886a9175a7'}> +2024-10-30 06:06:07,204 - lightrag - INFO - _check_edge_existence:query:MATCH (a:`THE BOY FROM OVER THE WAY`)-[r]-(b:`THE GIRL FROM NEXT DOOR`) RETURN COUNT(r) > 0 AS edgeExists:result:True +2024-10-30 06:06:07,374 - lightrag - INFO - get_edge:query: + MATCH (source:`THE BOY FROM OVER THE WAY`)-[r]-(target:`THE GIRL FROM NEXT DOOR`) + RETURN r + :result:, ) type='DIRECTED' properties={'keywords': '"youthful antics, dynamics"', 'description': '"The Boy\'s attempts to hide from The Girl demonstrate the youthful interactions and dynamics during the festive event."', 'weight': 6.0, 'source_id': 'chunk-8bc1edd983869352d14cf0886a9175a7'}> +2024-10-30 06:06:07,512 - lightrag - INFO - _check_edge_existence:query:MATCH (a:`SCROOGE`)-[r]-(b:`THE GHOST OF CHRISTMAS PAST`) RETURN COUNT(r) > 0 AS edgeExists:result:True +2024-10-30 06:06:07,648 - lightrag - INFO - get_edge:query: + MATCH (source:`SCROOGE`)-[r]-(target:`THE GHOST OF CHRISTMAS PAST`) + RETURN r + :result:, ) type='DIRECTED' properties={'keywords': '"introspection, memory"', 'description': '"The Ghost of Christmas Past guides Scrooge through recollections, prompting his introspection about his former self and choices."', 'weight': 10.0, 'source_id': 'chunk-b2f98bc7abb0c67d4c86055c7fd72218'}> +2024-10-30 06:06:07,785 - lightrag - INFO - _check_edge_existence:query:MATCH (a:`FEZZIWIG`)-[r]-(b:`THE DOMESTIC BALL`) RETURN COUNT(r) > 0 AS edgeExists:result:True +2024-10-30 06:06:07,921 - lightrag - INFO - get_edge:query: + MATCH (source:`FEZZIWIG`)-[r]-(target:`THE DOMESTIC BALL`) + RETURN r + :result:, ) type='DIRECTED' properties={'keywords': '"event organization, joy"', 'description': '"Fezziwig organizes the Domestic Ball, showcasing his ability to create joy and camaraderie among guests."', 'weight': 10.0, 'source_id': 'chunk-b2f98bc7abb0c67d4c86055c7fd72218'}> +2024-10-30 06:06:08,059 - lightrag - INFO - _check_edge_existence:query:MATCH (a:`DICK`)-[r]-(b:`SCROOGE`) RETURN COUNT(r) > 0 AS edgeExists:result:True +2024-10-30 06:06:08,196 - lightrag - INFO - get_edge:query: + MATCH (source:`DICK`)-[r]-(target:`SCROOGE`) + RETURN r + :result:, ) type='DIRECTED' properties={'keywords': '"nostalgia, friendship"', 'description': '"Scrooge remembers Dick as a part of his past, highlighting their shared experiences during happier times."', 'weight': 7.0, 'source_id': 'chunk-b2f98bc7abb0c67d4c86055c7fd72218'}> +2024-10-30 06:06:08,343 - lightrag - INFO - _check_edge_existence:query:MATCH (a:`FEZZIWIG`)-[r]-(b:`THE TWO APPRENTICES`) RETURN COUNT(r) > 0 AS edgeExists:result:True +2024-10-30 06:06:08,479 - lightrag - INFO - get_edge:query: + MATCH (source:`FEZZIWIG`)-[r]-(target:`THE TWO APPRENTICES`) + RETURN r + :result:, ) type='DIRECTED' properties={'keywords': '"gratitude, mentorship"', 'description': '"Fezziwig inspires deep gratitude and respect from his apprentices, who appreciate his kindness during their interactions at the ball."', 'weight': 8.0, 'source_id': 'chunk-b2f98bc7abb0c67d4c86055c7fd72218'}> +2024-10-30 06:06:08,623 - lightrag - INFO - _check_edge_existence:query:MATCH (a:`SCROOGE`)-[r]-(b:`THE GOLDEN IDOL`) RETURN COUNT(r) > 0 AS edgeExists:result:True +2024-10-30 06:06:08,758 - lightrag - INFO - get_edge:query: + MATCH (source:`SCROOGE`)-[r]-(target:`THE GOLDEN IDOL`) + RETURN r + :result:, ) type='DIRECTED' properties={'keywords': '"materialism, lost connections"', 'description': '"The Golden Idol represents the materialistic pursuits that have displaced meaningful connections in Scrooge\'s life."', 'weight': 10.0, 'source_id': 'chunk-b2f98bc7abb0c67d4c86055c7fd72218'}> +2024-10-30 06:06:08,896 - lightrag - INFO - _check_edge_existence:query:MATCH (a:`SCROOGE`)-[r]-(b:`THE MOURNING DRESS`) RETURN COUNT(r) > 0 AS edgeExists:result:True +2024-10-30 06:06:09,030 - lightrag - INFO - get_edge:query: + MATCH (source:`SCROOGE`)-[r]-(target:`THE MOURNING DRESS`) + RETURN r + :result:, ) type='DIRECTED' properties={'keywords': '"loss, emotional distance"', 'description': '"The Mourning Dress symbolizes Scrooge\'s unfulfilled relationships and the emotional consequences of his choices."', 'weight': 8.0, 'source_id': 'chunk-b2f98bc7abb0c67d4c86055c7fd72218'}> +2024-10-30 06:06:09,169 - lightrag - INFO - _check_edge_existence:query:MATCH (a:`SCROOGE`)-[r]-(b:`THE PRIME OF LIFE`) RETURN COUNT(r) > 0 AS edgeExists:result:True +2024-10-30 06:06:09,304 - lightrag - INFO - get_edge:query: + MATCH (source:`SCROOGE`)-[r]-(target:`THE PRIME OF LIFE`) + RETURN r + :result:, ) type='DIRECTED' properties={'keywords': '"reflection, life choices"', 'description': '"Scrooge reflects on his Prime of Life, contrasting it with his current state and the sacrifices he has made for wealth."', 'weight': 9.0, 'source_id': 'chunk-b2f98bc7abb0c67d4c86055c7fd72218'}> +2024-10-30 06:06:09,443 - lightrag - INFO - _check_edge_existence:query:MATCH (a:`SCROOGE`)-[r]-(b:`THE BEAUTIFUL YOUNG GIRL`) RETURN COUNT(r) > 0 AS edgeExists:result:True +2024-10-30 06:06:09,578 - lightrag - INFO - get_edge:query: + MATCH (source:`SCROOGE`)-[r]-(target:`THE BEAUTIFUL YOUNG GIRL`) + RETURN r + :result:, ) type='DIRECTED' properties={'keywords': '"nostalgia, lost love"', 'description': '"Scrooge reflects on his past relationship with the young girl, which holds significance in understanding his character\'s regrets."', 'weight': 8.0, 'source_id': 'chunk-54bdd22db1f84a965b5f4c06c9216d8d'}> +2024-10-30 06:06:09,716 - lightrag - INFO - _check_edge_existence:query:MATCH (a:`THE BEAUTIFUL YOUNG GIRL`)-[r]-(b:`THE COMELY MATRON`) RETURN COUNT(r) > 0 AS edgeExists:result:True +2024-10-30 06:06:09,850 - lightrag - INFO - get_edge:query: + MATCH (source:`THE BEAUTIFUL YOUNG GIRL`)-[r]-(target:`THE COMELY MATRON`) + RETURN r + :result:, ) type='DIRECTED' properties={'keywords': '"change, passage of time"', 'description': '"The Beautiful Young Girl evolves into The Comely Matron, representing the effects of time and choices made."', 'weight': 7.0, 'source_id': 'chunk-54bdd22db1f84a965b5f4c06c9216d8d'}> +2024-10-30 06:06:09,990 - lightrag - INFO - _check_edge_existence:query:MATCH (a:`THE CHILDREN`)-[r]-(b:`THE COMELY MATRON`) RETURN COUNT(r) > 0 AS edgeExists:result:True +2024-10-30 06:06:10,126 - lightrag - INFO - get_edge:query: + MATCH (source:`THE CHILDREN`)-[r]-(target:`THE COMELY MATRON`) + RETURN r + :result:, ) type='DIRECTED' properties={'keywords': '"family bonds, joy"', 'description': '"The Comely Matron fosters a lively environment with The Children, highlighting familial love and joy."', 'weight': 8.0, 'source_id': 'chunk-54bdd22db1f84a965b5f4c06c9216d8d'}> +2024-10-30 06:06:10,261 - lightrag - INFO - _check_edge_existence:query:MATCH (a:`THE CHILDREN`)-[r]-(b:`THE FATHER`) RETURN COUNT(r) > 0 AS edgeExists:result:True +2024-10-30 06:06:10,399 - lightrag - INFO - get_edge:query: + MATCH (source:`THE CHILDREN`)-[r]-(target:`THE FATHER`) + RETURN r + :result:, ) type='DIRECTED' properties={'keywords': '"familial joy, celebration"', 'description': '"The Father engages with the children, highlighting familial bonds and the excitement of Christmas celebrations."', 'weight': 8.0, 'source_id': 'chunk-da2472b4ef2a535b62908f14d0fb0ca9'}> +2024-10-30 06:06:10,542 - lightrag - INFO - _check_edge_existence:query:MATCH (a:`SCROOGE`)-[r]-(b:`THE DOWERLESS GIRL`) RETURN COUNT(r) > 0 AS edgeExists:result:True +2024-10-30 06:06:10,677 - lightrag - INFO - get_edge:query: + MATCH (source:`SCROOGE`)-[r]-(target:`THE DOWERLESS GIRL`) + RETURN r + :result:, ) type='DIRECTED' properties={'keywords': '"social constraints, regret"', 'description': '"Scrooge\'s reflections on the dowerless girl highlight the social constraints influencing his choices and feelings of regret."', 'weight': 6.0, 'source_id': 'chunk-54bdd22db1f84a965b5f4c06c9216d8d'}> +2024-10-30 06:06:10,819 - lightrag - INFO - _check_edge_existence:query:MATCH (a:`SCROOGE`)-[r]-(b:`THE MEMORY`) RETURN COUNT(r) > 0 AS edgeExists:result:True +2024-10-30 06:06:10,952 - lightrag - INFO - get_edge:query: + MATCH (source:`SCROOGE`)-[r]-(target:`THE MEMORY`) + RETURN r + :result:, ) type='DIRECTED' properties={'keywords': '"reflection, impact of past"', 'description': '"Scrooge\'s memories play a crucial role in shaping his perspective on love and happiness as he confronts his past."', 'weight': 8.0, 'source_id': 'chunk-54bdd22db1f84a965b5f4c06c9216d8d'}> +2024-10-30 06:06:11,089 - lightrag - INFO - _check_edge_existence:query:MATCH (a:`THE FATHER`)-[r]-(b:`THE WINTER FIRE`) RETURN COUNT(r) > 0 AS edgeExists:result:True +2024-10-30 06:06:11,223 - lightrag - INFO - get_edge:query: + MATCH (source:`THE FATHER`)-[r]-(target:`THE WINTER FIRE`) + RETURN r + :result:, ) type='DIRECTED' properties={'keywords': '"family reunion, warmth"', 'description': '"The Father\'s return to The Winter Fire represents the reunion of family and the warmth of home during the holiday season."', 'weight': 9.0, 'source_id': 'chunk-54bdd22db1f84a965b5f4c06c9216d8d'}> +2024-10-30 06:06:11,362 - lightrag - INFO - _check_edge_existence:query:MATCH (a:`HAPPINESS`)-[r]-(b:`THE BEAUTIFUL YOUNG GIRL`) RETURN COUNT(r) > 0 AS edgeExists:result:True +2024-10-30 06:06:11,500 - lightrag - INFO - get_edge:query: + MATCH (source:`HAPPINESS`)-[r]-(target:`THE BEAUTIFUL YOUNG GIRL`) + RETURN r + :result:, ) type='DIRECTED' properties={'keywords': '"lost happiness, longing"', 'description': '"The Beautiful Young Girl embodies the happiness that Scrooge once sought and now feels he has lost."', 'weight': 7.0, 'source_id': 'chunk-54bdd22db1f84a965b5f4c06c9216d8d'}> +2024-10-30 06:06:11,643 - lightrag - INFO - _check_edge_existence:query:MATCH (a:`HOPE`)-[r]-(b:`THE COMELY MATRON`) RETURN COUNT(r) > 0 AS edgeExists:result:True +2024-10-30 06:06:11,779 - lightrag - INFO - get_edge:query: + MATCH (source:`HOPE`)-[r]-(target:`THE COMELY MATRON`) + RETURN r + :result:, ) type='DIRECTED' properties={'keywords': '"hope, family love"', 'description': '"The Comely Matron represents the hope for a joyful and fulfilling family life, enhancing the themes of love and connection."', 'weight': 8.0, 'source_id': 'chunk-54bdd22db1f84a965b5f4c06c9216d8d'}> +2024-10-30 06:06:11,917 - lightrag - INFO - _check_edge_existence:query:MATCH (a:`THE COMELY MATRON`)-[r]-(b:`THE YOUNG BRIGANDS`) RETURN COUNT(r) > 0 AS edgeExists:result:True +2024-10-30 06:06:12,051 - lightrag - INFO - get_edge:query: + MATCH (source:`THE COMELY MATRON`)-[r]-(target:`THE YOUNG BRIGANDS`) + RETURN r + :result:, ) type='DIRECTED' properties={'keywords': '"chaos, joy of childhood"', 'description': '"The Comely Matron encourages the Young Brigands\' playfulness, highlighting the joy and chaos of family life."', 'weight': 7.0, 'source_id': 'chunk-54bdd22db1f84a965b5f4c06c9216d8d'}> +2024-10-30 06:06:12,191 - lightrag - INFO - _check_edge_existence:query:MATCH (a:`BELLE`)-[r]-(b:`SCROOGE`) RETURN COUNT(r) > 0 AS edgeExists:result:True +2024-10-30 06:06:12,325 - lightrag - INFO - get_edge:query: + MATCH (source:`BELLE`)-[r]-(target:`SCROOGE`) + RETURN r + :result:, ) type='DIRECTED' properties={'keywords': '"lost love, regret"', 'description': '"Scrooge reflects on his lost relationship with Belle, highlighting his feelings of regret and emotional pain."', 'weight': 8.0, 'source_id': 'chunk-da2472b4ef2a535b62908f14d0fb0ca9'}> +2024-10-30 06:06:12,469 - lightrag - INFO - _check_edge_existence:query:MATCH (a:`CHRISTMAS`)-[r]-(b:`THE SPIRIT`) RETURN COUNT(r) > 0 AS edgeExists:result:True +2024-10-30 06:06:12,604 - lightrag - INFO - get_edge:query: + MATCH (source:`CHRISTMAS`)-[r]-(target:`THE SPIRIT`) + RETURN r + :result:, ) type='DIRECTED' properties={'keywords': '"holiday spirit, compassion""seasonal influence, moral reflection"', 'description': '"The Spirit connects various scenes to the theme of Christmas, emphasizing its impact on individuals’ attitudes and behaviors.""The Spirit\'s appearances highlight the themes of Christmas and the importance of compassion and community."', 'weight': 17.0, 'source_id': 'chunk-91614df5cb74cbe5e109a338a82041e9chunk-da2472b4ef2a535b62908f14d0fb0ca9'}> +2024-10-30 06:06:12,744 - lightrag - INFO - _check_edge_existence:query:MATCH (a:`SCROOGE`)-[r]-(b:`THE OFFICE`) RETURN COUNT(r) > 0 AS edgeExists:result:True +2024-10-30 06:06:12,885 - lightrag - INFO - get_edge:query: + MATCH (source:`SCROOGE`)-[r]-(target:`THE OFFICE`) + RETURN r + :result:, ) type='DIRECTED' properties={'keywords': '"isolation, work ethic"', 'description': '"Scrooge\'s office reflects his solitary and business-driven life, showcasing his disconnection from familial and social ties."', 'weight': 6.0, 'source_id': 'chunk-da2472b4ef2a535b62908f14d0fb0ca9'}> +2024-10-30 06:06:13,025 - lightrag - INFO - _check_edge_existence:query:MATCH (a:`THE FATHER`)-[r]-(b:`THE MOTHER`) RETURN COUNT(r) > 0 AS edgeExists:result:True +2024-10-30 06:06:13,160 - lightrag - INFO - get_edge:query: + MATCH (source:`THE FATHER`)-[r]-(target:`THE MOTHER`) + RETURN r + :result:, ) type='DIRECTED' properties={'keywords': '"family dynamics, togetherness"', 'description': '"The Mother and Father are depicted together, emphasizing family dynamics during the festive occasion."', 'weight': 6.0, 'source_id': 'chunk-da2472b4ef2a535b62908f14d0fb0ca9'}> +2024-10-30 06:06:13,298 - lightrag - INFO - _check_edge_existence:query:MATCH (a:`THE BABY`)-[r]-(b:`THE CHILDREN`) RETURN COUNT(r) > 0 AS edgeExists:result:True +2024-10-30 06:06:13,432 - lightrag - INFO - get_edge:query: + MATCH (source:`THE BABY`)-[r]-(target:`THE CHILDREN`) + RETURN r + :result:, ) type='DIRECTED' properties={'keywords': '"playfulness, innocence"', 'description': '"The Children interact with The Baby in a playful manner, illustrating the innocence of youth during Christmas."', 'weight': 6.0, 'source_id': 'chunk-da2472b4ef2a535b62908f14d0fb0ca9'}> +2024-10-30 06:06:13,574 - lightrag - INFO - _check_edge_existence:query:MATCH (a:`THE CHILDREN`)-[r]-(b:`THE PORTER`) RETURN COUNT(r) > 0 AS edgeExists:result:True +2024-10-30 06:06:13,710 - lightrag - INFO - get_edge:query: + MATCH (source:`THE CHILDREN`)-[r]-(target:`THE PORTER`) + RETURN r + :result:, ) type='DIRECTED' properties={'keywords': '"playfulness, joy"', 'description': '"The Children playfully interact with the Porter, creating a scene of joyous chaos and affection."', 'weight': 9.0, 'source_id': 'chunk-da2472b4ef2a535b62908f14d0fb0ca9'}> +2024-10-30 06:06:13,847 - lightrag - INFO - _check_edge_existence:query:MATCH (a:`THE CHILDREN`)-[r]-(b:`THE MOTHER`) RETURN COUNT(r) > 0 AS edgeExists:result:True +2024-10-30 06:06:13,979 - lightrag - INFO - get_edge:query: + MATCH (source:`THE CHILDREN`)-[r]-(target:`THE MOTHER`) + RETURN r + :result:, ) type='DIRECTED' properties={'keywords': '"family care, joy"', 'description': '"The Mother facilitates the family celebrations, ensuring that her children experience joy during Christmas."', 'weight': 7.0, 'source_id': 'chunk-da2472b4ef2a535b62908f14d0fb0ca9'}> +2024-10-30 06:06:14,118 - lightrag - INFO - _check_edge_existence:query:MATCH (a:`HOME`)-[r]-(b:`THE MOTHER`) RETURN COUNT(r) > 0 AS edgeExists:result:True +2024-10-30 06:06:14,252 - lightrag - INFO - get_edge:query: + MATCH (source:`HOME`)-[r]-(target:`THE MOTHER`) + RETURN r + :result:, ) type='DIRECTED' properties={'keywords': '"family unity, celebration"', 'description': '"Home is where The Mother organizes the family Christmas celebration, serving as the heart of their togetherness."', 'weight': 9.0, 'source_id': 'chunk-da2472b4ef2a535b62908f14d0fb0ca9'}> +2024-10-30 06:06:14,391 - lightrag - INFO - _check_edge_existence:query:MATCH (a:`GHOST OF CHRISTMAS PRESENT`)-[r]-(b:`HOLLY`) RETURN COUNT(r) > 0 AS edgeExists:result:True +2024-10-30 06:06:14,526 - lightrag - INFO - get_edge:query: + MATCH (source:`GHOST OF CHRISTMAS PRESENT`)-[r]-(target:`HOLLY`) + RETURN r + :result:, ) type='DIRECTED' properties={'keywords': '"festive spirit, symbolism"', 'description': '"Holly is part of the Ghost\'s attire, reinforcing the themes of joy and celebration during Christmas."', 'weight': 9.0, 'source_id': 'chunk-843b5b2f944c7413d9ca876e2e2f151f'}> +2024-10-30 06:06:14,670 - lightrag - INFO - _check_edge_existence:query:MATCH (a:`GHOST OF CHRISTMAS PRESENT`)-[r]-(b:`MISTLETOE`) RETURN COUNT(r) > 0 AS edgeExists:result:True +2024-10-30 06:06:14,804 - lightrag - INFO - get_edge:query: + MATCH (source:`GHOST OF CHRISTMAS PRESENT`)-[r]-(target:`MISTLETOE`) + RETURN r + :result:, ) type='DIRECTED' properties={'keywords': '"tradition, symbolism"', 'description': '"The Spirit’s presence is enhanced by Mistletoe, a traditional decoration symbolizing love and goodwill."', 'weight': 7.0, 'source_id': 'chunk-843b5b2f944c7413d9ca876e2e2f151f'}> +2024-10-30 06:06:14,953 - lightrag - INFO - _check_edge_existence:query:MATCH (a:`GHOST OF CHRISTMAS PRESENT`)-[r]-(b:`RED BERRIES`) RETURN COUNT(r) > 0 AS edgeExists:result:True +2024-10-30 06:06:15,092 - lightrag - INFO - get_edge:query: + MATCH (source:`GHOST OF CHRISTMAS PRESENT`)-[r]-(target:`RED BERRIES`) + RETURN r + :result:, ) type='DIRECTED' properties={'keywords': '"festivity, abundance"', 'description': '"The Ghost is surrounded by Red Berries, reinforcing the imagery of Christmas abundance and decoration."', 'weight': 7.0, 'source_id': 'chunk-843b5b2f944c7413d9ca876e2e2f151f'}> +2024-10-30 06:06:15,235 - lightrag - INFO - _check_edge_existence:query:MATCH (a:`GHOST OF CHRISTMAS PRESENT`)-[r]-(b:`TURKEYS`) RETURN COUNT(r) > 0 AS edgeExists:result:True +2024-10-30 06:06:15,370 - lightrag - INFO - get_edge:query: + MATCH (source:`GHOST OF CHRISTMAS PRESENT`)-[r]-(target:`TURKEYS`) + RETURN r + :result:, ) type='DIRECTED' properties={'keywords': '"feasting, abundance"', 'description': '"The Ghost highlights the presence of Turkeys at the feast, emphasizing the spirit of generosity during Christmas."', 'weight': 8.0, 'source_id': 'chunk-843b5b2f944c7413d9ca876e2e2f151f'}> +2024-10-30 06:06:15,507 - lightrag - INFO - _check_edge_existence:query:MATCH (a:`GHOST OF CHRISTMAS PRESENT`)-[r]-(b:`POULTRY`) RETURN COUNT(r) > 0 AS edgeExists:result:True +2024-10-30 06:06:15,645 - lightrag - INFO - get_edge:query: + MATCH (source:`GHOST OF CHRISTMAS PRESENT`)-[r]-(target:`POULTRY`) + RETURN r + :result:, ) type='DIRECTED' properties={'keywords': '"feast, tradition"', 'description': '"The Ghost presents Poultry as part of the Christmas spread, highlighting the traditional meals associated with the holiday."', 'weight': 8.0, 'source_id': 'chunk-843b5b2f944c7413d9ca876e2e2f151f'}> +2024-10-30 06:06:15,785 - lightrag - INFO - _check_edge_existence:query:MATCH (a:`GHOST OF CHRISTMAS PRESENT`)-[r]-(b:`MEAT`) RETURN COUNT(r) > 0 AS edgeExists:result:True +2024-10-30 06:06:15,920 - lightrag - INFO - get_edge:query: + MATCH (source:`GHOST OF CHRISTMAS PRESENT`)-[r]-(target:`MEAT`) + RETURN r + :result:, ) type='DIRECTED' properties={'keywords': '"abundance, generosity"', 'description': '"The included Meat within the Ghost\'s feast symbolizes abundance and the spirit of generosity during Christmas."', 'weight': 8.0, 'source_id': 'chunk-843b5b2f944c7413d9ca876e2e2f151f'}> +2024-10-30 06:06:16,081 - lightrag - INFO - _check_edge_existence:query:MATCH (a:`GHOST OF CHRISTMAS PRESENT`)-[r]-(b:`SAUSAGES`) RETURN COUNT(r) > 0 AS edgeExists:result:True +2024-10-30 06:06:16,215 - lightrag - INFO - get_edge:query: + MATCH (source:`GHOST OF CHRISTMAS PRESENT`)-[r]-(target:`SAUSAGES`) + RETURN r + :result:, ) type='DIRECTED' properties={'keywords': '"celebration, abundance"', 'description': '"Sausages contribute to the lavish spread, symbolizing the abundance of the Christmas feast."', 'weight': 7.0, 'source_id': 'chunk-843b5b2f944c7413d9ca876e2e2f151f'}> +2024-10-30 06:06:16,358 - lightrag - INFO - _check_edge_existence:query:MATCH (a:`GHOST OF CHRISTMAS PRESENT`)-[r]-(b:`OYSTERS`) RETURN COUNT(r) > 0 AS edgeExists:result:True +2024-10-30 06:06:16,491 - lightrag - INFO - get_edge:query: + MATCH (source:`GHOST OF CHRISTMAS PRESENT`)-[r]-(target:`OYSTERS`) + RETURN r + :result:, ) type='DIRECTED' properties={'keywords': '"luxury, celebration"', 'description': '"The inclusion of Oysters in the Christmas feast illustrates the luxury and indulgence during festive celebrations."', 'weight': 8.0, 'source_id': 'chunk-843b5b2f944c7413d9ca876e2e2f151f'}> +2024-10-30 06:06:16,629 - lightrag - INFO - _check_edge_existence:query:MATCH (a:`GHOST OF CHRISTMAS PRESENT`)-[r]-(b:`PIES`) RETURN COUNT(r) > 0 AS edgeExists:result:True +2024-10-30 06:06:16,765 - lightrag - INFO - get_edge:query: + MATCH (source:`GHOST OF CHRISTMAS PRESENT`)-[r]-(target:`PIES`) + RETURN r + :result:, ) type='DIRECTED' properties={'keywords': '"tradition, dessert"', 'description': '"Pies presented by the Ghost highlight the traditions of holiday desserts shared among families."', 'weight': 8.0, 'source_id': 'chunk-843b5b2f944c7413d9ca876e2e2f151f'}> +2024-10-30 06:06:16,911 - lightrag - INFO - _check_edge_existence:query:MATCH (a:`GHOST OF CHRISTMAS PRESENT`)-[r]-(b:`PUDDINGS`) RETURN COUNT(r) > 0 AS edgeExists:result:True +2024-10-30 06:06:17,044 - lightrag - INFO - get_edge:query: + MATCH (source:`GHOST OF CHRISTMAS PRESENT`)-[r]-(target:`PUDDINGS`) + RETURN r + :result:, ) type='DIRECTED' properties={'keywords': '"warmth, comfort"', 'description': '"Puddings are part of the Ghost’s feast, embodying warmth and comfort during the Christmas season."', 'weight': 8.0, 'source_id': 'chunk-843b5b2f944c7413d9ca876e2e2f151f'}> +2024-10-30 06:06:17,194 - lightrag - INFO - _check_edge_existence:query:MATCH (a:`FRUIT`)-[r]-(b:`GHOST OF CHRISTMAS PRESENT`) RETURN COUNT(r) > 0 AS edgeExists:result:True +2024-10-30 06:06:17,327 - lightrag - INFO - get_edge:query: + MATCH (source:`FRUIT`)-[r]-(target:`GHOST OF CHRISTMAS PRESENT`) + RETURN r + :result:, ) type='DIRECTED' properties={'keywords': '"sharing, abundance"', 'description': '"Fruit served by the Ghost reinforces the joy of sharing and the abundance of the Christmas season."', 'weight': 8.0, 'source_id': 'chunk-843b5b2f944c7413d9ca876e2e2f151f'}> +2024-10-30 06:06:17,470 - lightrag - INFO - _check_edge_existence:query:MATCH (a:`GHOST OF CHRISTMAS PRESENT`)-[r]-(b:`PUNCH`) RETURN COUNT(r) > 0 AS edgeExists:result:True +2024-10-30 06:06:17,602 - lightrag - INFO - get_edge:query: + MATCH (source:`GHOST OF CHRISTMAS PRESENT`)-[r]-(target:`PUNCH`) + RETURN r + :result:, ) type='DIRECTED' properties={'keywords': '"celebration, festivity"', 'description': '"Punch serves as a festive drink shared during Christmas, enhancing the celebratory atmosphere."', 'weight': 8.0, 'source_id': 'chunk-843b5b2f944c7413d9ca876e2e2f151f'}> +2024-10-30 06:06:17,745 - lightrag - INFO - _check_edge_existence:query:MATCH (a:`ANTIQUE SCABBARD`)-[r]-(b:`GHOST OF CHRISTMAS PRESENT`) RETURN COUNT(r) > 0 AS edgeExists:result:True +2024-10-30 06:06:17,881 - lightrag - INFO - get_edge:query: + MATCH (source:`ANTIQUE SCABBARD`)-[r]-(target:`GHOST OF CHRISTMAS PRESENT`) + RETURN r + :result:, ) type='DIRECTED' properties={'keywords': '"history, guardianship"', 'description': '"The Antique Scabbard worn by the Spirit symbolizes history and the guardianship of Christmas traditions."', 'weight': 7.0, 'source_id': 'chunk-843b5b2f944c7413d9ca876e2e2f151f'}> +2024-10-30 06:06:18,026 - lightrag - INFO - _check_edge_existence:query:MATCH (a:`CHRISTMAS`)-[r]-(b:`GROCERS'`) RETURN COUNT(r) > 0 AS edgeExists:result:True +2024-10-30 06:06:18,192 - lightrag - INFO - get_edge:query: + MATCH (source:`CHRISTMAS`)-[r]-(target:`GROCERS'`) + RETURN r + :result:, ) type='DIRECTED' properties={'keywords': '"retail, festive celebration"', 'description': '"The Grocers\' organization plays a crucial role during Christmas by providing goods that contribute to the festive spirit."', 'weight': 8.0, 'source_id': 'chunk-99b0ec7f7e006561352b5d65e849611d'}> +2024-10-30 06:06:18,331 - lightrag - INFO - _check_edge_existence:query:MATCH (a:`CHRISTMAS`)-[r]-(b:`PEOPLE`) RETURN COUNT(r) > 0 AS edgeExists:result:True +2024-10-30 06:06:18,465 - lightrag - INFO - get_edge:query: + MATCH (source:`CHRISTMAS`)-[r]-(target:`PEOPLE`) + RETURN r + :result:, ) type='DIRECTED' properties={'keywords': '"community celebration, joy"', 'description': '"The People are actively engaged in the celebration of Christmas, demonstrating joy and festivity despite the harsh weather conditions."', 'weight': 9.0, 'source_id': 'chunk-99b0ec7f7e006561352b5d65e849611d'}> +2024-10-30 06:06:18,605 - lightrag - INFO - _check_edge_existence:query:MATCH (a:`CHRISTMAS`)-[r]-(b:`GREAT BRITAIN`) RETURN COUNT(r) > 0 AS edgeExists:result:True +2024-10-30 06:06:18,738 - lightrag - INFO - get_edge:query: + MATCH (source:`CHRISTMAS`)-[r]-(target:`GREAT BRITAIN`) + RETURN r + :result:, ) type='DIRECTED' properties={'keywords': '"celebration, societal mood"', 'description': '"The celebration of Christmas brings a cheerful atmosphere to Great Britain despite the gloomy weather conditions."', 'weight': 7.0, 'source_id': 'chunk-99b0ec7f7e006561352b5d65e849611d'}> +2024-10-30 06:06:18,877 - lightrag - INFO - _check_edge_existence:query:MATCH (a:`SCROOGE`)-[r]-(b:`SPIRIT OF CHRISTMAS PRESENT`) RETURN COUNT(r) > 0 AS edgeExists:result:True +2024-10-30 06:06:19,014 - lightrag - INFO - get_edge:query: + MATCH (source:`SCROOGE`)-[r]-(target:`SPIRIT OF CHRISTMAS PRESENT`) + RETURN r + :result:, ) type='DIRECTED' properties={'keywords': '"transformation, generosity"', 'description': '"Scrooge interacts with the Spirit of Christmas Present, who shows him the joys of Christmas and the importance of generosity."', 'weight': 8.0, 'source_id': 'chunk-b0f459f5af1c3a5e0b92cbe4ee48b77b'}> +2024-10-30 06:06:19,154 - lightrag - INFO - _check_edge_existence:query:MATCH (a:`BOB CRATCHIT`)-[r]-(b:`SPIRIT OF CHRISTMAS PRESENT`) RETURN COUNT(r) > 0 AS edgeExists:result:True +2024-10-30 06:06:19,292 - lightrag - INFO - get_edge:query: + MATCH (source:`BOB CRATCHIT`)-[r]-(target:`SPIRIT OF CHRISTMAS PRESENT`) + RETURN r + :result:, ) type='DIRECTED' properties={'keywords': '"blessing, compassion"', 'description': '"The Spirit blesses Bob Cratchit’s dwelling, symbolizing the recognition of the Cratchit family\'s struggles and joys on Christmas Day."', 'weight': 9.0, 'source_id': 'chunk-b0f459f5af1c3a5e0b92cbe4ee48b77b'}> +2024-10-30 06:06:19,432 - lightrag - INFO - _check_edge_existence:query:MATCH (a:`BOB CRATCHIT`)-[r]-(b:`THE CRATCHIT HOUSEHOLD`) RETURN COUNT(r) > 0 AS edgeExists:result:True +2024-10-30 06:06:19,567 - lightrag - INFO - get_edge:query: + MATCH (source:`BOB CRATCHIT`)-[r]-(target:`THE CRATCHIT HOUSEHOLD`) + RETURN r + :result:, ) type='DIRECTED' properties={'keywords': '"family, support"', 'description': '"Bob Cratchit leads his family, representing resilience and love in the face of hardship, which is celebrated by the Spirit."', 'weight': 8.0, 'source_id': 'chunk-b0f459f5af1c3a5e0b92cbe4ee48b77b'}> +2024-10-30 06:06:19,709 - lightrag - INFO - _check_edge_existence:query:MATCH (a:`MRS. CRATCHIT`)-[r]-(b:`THE CRATCHIT HOUSEHOLD`) RETURN COUNT(r) > 0 AS edgeExists:result:True +2024-10-30 06:06:19,843 - lightrag - INFO - get_edge:query: + MATCH (source:`MRS. CRATCHIT`)-[r]-(target:`THE CRATCHIT HOUSEHOLD`) + RETURN r + :result:, ) type='DIRECTED' properties={'keywords': '"dedication, familial love"', 'description': '"Mrs. Cratchit contributes to the family’s efforts to celebrate Christmas, demonstrating dedication and caring."', 'weight': 7.0, 'source_id': 'chunk-b0f459f5af1c3a5e0b92cbe4ee48b77b'}> +2024-10-30 06:06:19,988 - lightrag - INFO - _check_edge_existence:query:MATCH (a:`BELINDA CRATCHIT`)-[r]-(b:`THE CRATCHIT HOUSEHOLD`) RETURN COUNT(r) > 0 AS edgeExists:result:True +2024-10-30 06:06:20,120 - lightrag - INFO - get_edge:query: + MATCH (source:`BELINDA CRATCHIT`)-[r]-(target:`THE CRATCHIT HOUSEHOLD`) + RETURN r + :result:, ) type='DIRECTED' properties={'keywords': '"cooperation, family bonds"', 'description': '"Belinda plays an active role in the household duties, reinforcing the theme of cooperation and togetherness."', 'weight': 6.0, 'source_id': 'chunk-b0f459f5af1c3a5e0b92cbe4ee48b77b'}> +2024-10-30 06:06:20,259 - lightrag - INFO - _check_edge_existence:query:MATCH (a:`MRS. CRATCHIT`)-[r]-(b:`PETER CRATCHIT`) RETURN COUNT(r) > 0 AS edgeExists:result:True +2024-10-30 06:06:20,394 - lightrag - INFO - get_edge:query: + MATCH (source:`MRS. CRATCHIT`)-[r]-(target:`PETER CRATCHIT`) + RETURN r + :result:, ) type='DIRECTED' properties={'keywords': '"family participation, dynamic"', 'description': '"Peter Cratchit assists his mother, reflecting the family dynamic and contribution of children during festive preparations."', 'weight': 7.0, 'source_id': 'chunk-b0f459f5af1c3a5e0b92cbe4ee48b77b'}> +2024-10-30 06:06:20,535 - lightrag - INFO - _check_edge_existence:query:MATCH (a:`THE GROCER`)-[r]-(b:`THE PEOPLE`) RETURN COUNT(r) > 0 AS edgeExists:result:True +2024-10-30 06:06:20,672 - lightrag - INFO - get_edge:query: + MATCH (source:`THE GROCER`)-[r]-(target:`THE PEOPLE`) + RETURN r + :result:, ) type='DIRECTED' properties={'keywords': '"community spirit, warmth"', 'description': '"The Grocer interacts warmly with The People, fostering a sense of community and celebration during Christmas."', 'weight': 8.0, 'source_id': 'chunk-b0f459f5af1c3a5e0b92cbe4ee48b77b'}> +2024-10-30 06:06:20,813 - lightrag - INFO - _check_edge_existence:query:MATCH (a:`THE CRATCHIT HOUSEHOLD`)-[r]-(b:`THE SPIRIT OF CHRISTMAS PRESENT`) RETURN COUNT(r) > 0 AS edgeExists:result:True +2024-10-30 06:06:20,950 - lightrag - INFO - get_edge:query: + MATCH (source:`THE CRATCHIT HOUSEHOLD`)-[r]-(target:`THE SPIRIT OF CHRISTMAS PRESENT`) + RETURN r + :result:, ) type='DIRECTED' properties={'keywords': '"observation, blessing"', 'description': '"The Spirit observes and blesses The Cratchit Household, showcasing the joy and struggles of families during Christmas."', 'weight': 9.0, 'source_id': 'chunk-b0f459f5af1c3a5e0b92cbe4ee48b77b'}> +2024-10-30 06:06:21,092 - lightrag - INFO - _check_edge_existence:query:MATCH (a:`THE BAKER'S SHOP`)-[r]-(b:`THE PEOPLE`) RETURN COUNT(r) > 0 AS edgeExists:result:True +2024-10-30 06:06:21,224 - lightrag - INFO - get_edge:query: + MATCH (source:`THE BAKER'S SHOP`)-[r]-(target:`THE PEOPLE`) + RETURN r + :result:, ) type='DIRECTED' properties={'keywords': '"community, gathering place"', 'description': '"The Baker\'s Shop serves as a gathering place for The People, symbolizing community and shared meals on Christmas Day."', 'weight': 7.0, 'source_id': 'chunk-b0f459f5af1c3a5e0b92cbe4ee48b77b'}> +2024-10-30 06:06:21,364 - lightrag - INFO - _check_edge_existence:query:MATCH (a:`THE SPIRIT OF CHRISTMAS PRESENT`)-[r]-(b:`THE STREETS`) RETURN COUNT(r) > 0 AS edgeExists:result:True +2024-10-30 06:06:21,502 - lightrag - INFO - get_edge:query: + MATCH (source:`THE SPIRIT OF CHRISTMAS PRESENT`)-[r]-(target:`THE STREETS`) + RETURN r + :result:, ) type='DIRECTED' properties={'keywords': '"guidance, social awareness"', 'description': '"The Spirit guides Scrooge through The Streets, revealing the festive nature and challenges faced by the townsfolk."', 'weight': 8.0, 'source_id': 'chunk-b0f459f5af1c3a5e0b92cbe4ee48b77b'}> +2024-10-30 06:06:21,642 - lightrag - INFO - _check_edge_existence:query:MATCH (a:`THE CRATCHIT HOUSEHOLD`)-[r]-(b:`THE SUBURBS`) RETURN COUNT(r) > 0 AS edgeExists:result:True +2024-10-30 06:06:21,783 - lightrag - INFO - get_edge:query: + MATCH (source:`THE CRATCHIT HOUSEHOLD`)-[r]-(target:`THE SUBURBS`) + RETURN r + :result:, ) type='DIRECTED' properties={'keywords': '"social commentary, inequality"', 'description': '"The Suburbs illustrate the challenges faced by families like The Cratchit Household, emphasizing social inequality."', 'weight': 6.0, 'source_id': 'chunk-b0f459f5af1c3a5e0b92cbe4ee48b77b'}> +2024-10-30 06:06:21,925 - lightrag - INFO - _check_edge_existence:query:MATCH (a:`DINNERS`)-[r]-(b:`THE CRATCHIT HOUSEHOLD`) RETURN COUNT(r) > 0 AS edgeExists:result:True +2024-10-30 06:06:22,062 - lightrag - INFO - get_edge:query: + MATCH (source:`DINNERS`)-[r]-(target:`THE CRATCHIT HOUSEHOLD`) + RETURN r + :result:, ) type='DIRECTED' properties={'keywords': '"togetherness, familial love"', 'description': '"The dinners prepared by The Cratchit Household signify love and togetherness, reflecting on the importance of family meals during the holidays."', 'weight': 8.0, 'source_id': 'chunk-b0f459f5af1c3a5e0b92cbe4ee48b77b'}> +2024-10-30 06:06:22,202 - lightrag - INFO - _check_edge_existence:query:MATCH (a:`BOB CRATCHIT`)-[r]-(b:`MARTHA`) RETURN COUNT(r) > 0 AS edgeExists:result:True +2024-10-30 06:06:22,390 - lightrag - INFO - get_edge:query: + MATCH (source:`BOB CRATCHIT`)-[r]-(target:`MARTHA`) + RETURN r + :result:, ) type='DIRECTED' properties={'keywords': '"family reunion, surprise"', 'description': '"Martha surprises Bob Cratchit by coming home late for Christmas dinner, showing the family\'s love and warmth in reunions."', 'weight': 8.0, 'source_id': 'chunk-7e2e7ebcc19a53b399dc03aded4743e7'}> +2024-10-30 06:06:22,530 - lightrag - INFO - _check_edge_existence:query:MATCH (a:`CRATCHIT CHRISTMAS DINNER`)-[r]-(b:`CRATCHIT FAMILY`) RETURN COUNT(r) > 0 AS edgeExists:result:True +2024-10-30 06:06:22,664 - lightrag - INFO - get_edge:query: + MATCH (source:`CRATCHIT CHRISTMAS DINNER`)-[r]-(target:`CRATCHIT FAMILY`) + RETURN r + :result:, ) type='DIRECTED' properties={'keywords': '"family celebration, togetherness"', 'description': '"The Cratchit Family comes together to celebrate Christmas dinner, encapsulating their unity and joyful spirit during the holiday season."', 'weight': 10.0, 'source_id': 'chunk-7e2e7ebcc19a53b399dc03aded4743e7'}> +2024-10-30 06:06:22,804 - lightrag - INFO - _check_edge_existence:query:MATCH (a:`CRATCHIT FAMILY`)-[r]-(b:`TINY TIM`) RETURN COUNT(r) > 0 AS edgeExists:result:True +2024-10-30 06:06:22,943 - lightrag - INFO - get_edge:query: + MATCH (source:`CRATCHIT FAMILY`)-[r]-(target:`TINY TIM`) + RETURN r + :result:, ) type='DIRECTED' properties={'keywords': '"family bond, celebration""family ties, innocence"', 'description': '"Tiny Tim\'s presence in the Cratchit family adds to their joy and highlights the family\'s spirit of togetherness during Christmas.""Tiny Tim, as part of the Cratchit Family, represents the innocence and vulnerability of the family, affecting their dynamics during Christmas."', 'weight': 15.0, 'source_id': 'chunk-7e2e7ebcc19a53b399dc03aded4743e7chunk-19d72c57ae3408758b18d2568e86dc6b'}> +2024-10-30 06:06:23,083 - lightrag - INFO - _check_edge_existence:query:MATCH (a:`CRATCHIT CHRISTMAS DINNER`)-[r]-(b:`MRS. CRATCHIT`) RETURN COUNT(r) > 0 AS edgeExists:result:True +2024-10-30 06:06:23,218 - lightrag - INFO - get_edge:query: + MATCH (source:`CRATCHIT CHRISTMAS DINNER`)-[r]-(target:`MRS. CRATCHIT`) + RETURN r + :result:, ) type='DIRECTED' properties={'keywords': '"family dedication, celebration"', 'description': '"Mrs. Cratchit plays a vital role in organizing and preparing the Christmas dinner, showcasing her dedication to the family."', 'weight': 9.0, 'source_id': 'chunk-7e2e7ebcc19a53b399dc03aded4743e7'}> +2024-10-30 06:06:23,357 - lightrag - INFO - _check_edge_existence:query:MATCH (a:`CRATCHIT CHRISTMAS DINNER`)-[r]-(b:`THE GOOSE`) RETURN COUNT(r) > 0 AS edgeExists:result:True +2024-10-30 06:06:23,494 - lightrag - INFO - get_edge:query: + MATCH (source:`CRATCHIT CHRISTMAS DINNER`)-[r]-(target:`THE GOOSE`) + RETURN r + :result:, ) type='DIRECTED' properties={'keywords': '"central dish, festive tradition"', 'description': '"The Goose is the centerpiece of the Cratchit Christmas dinner, symbolizing the family\'s festive spirit and shared joy."', 'weight': 10.0, 'source_id': 'chunk-7e2e7ebcc19a53b399dc03aded4743e7'}> +2024-10-30 06:06:23,634 - lightrag - INFO - _check_edge_existence:query:MATCH (a:`THE YOUNG CRATCHITS`)-[r]-(b:`TINY TIM`) RETURN COUNT(r) > 0 AS edgeExists:result:True +2024-10-30 06:06:23,770 - lightrag - INFO - get_edge:query: + MATCH (source:`THE YOUNG CRATCHITS`)-[r]-(target:`TINY TIM`) + RETURN r + :result:, ) type='DIRECTED' properties={'keywords': '"sibling bond, family dynamics"', 'description': '"The Young Cratchits enthusiastically engage with Tiny Tim during the celebrations, highlighting the loving dynamics of the Cratchit family."', 'weight': 8.0, 'source_id': 'chunk-7e2e7ebcc19a53b399dc03aded4743e7'}> +2024-10-30 06:06:23,910 - lightrag - INFO - _check_edge_existence:query:MATCH (a:`THE FIRE`)-[r]-(b:`TINY TIM`) RETURN COUNT(r) > 0 AS edgeExists:result:True +2024-10-30 06:06:24,047 - lightrag - INFO - get_edge:query: + MATCH (source:`THE FIRE`)-[r]-(target:`TINY TIM`) + RETURN r + :result:, ) type='DIRECTED' properties={'keywords': '"warmth, family support"', 'description': '"Tiny Tim is seen being supported by the family at the warmth of the Fire, which adds comfort and cheer to their gathering."', 'weight': 8.0, 'source_id': 'chunk-7e2e7ebcc19a53b399dc03aded4743e7'}> +2024-10-30 06:06:24,183 - lightrag - INFO - _check_edge_existence:query:MATCH (a:`CRATCHIT CHRISTMAS DINNER`)-[r]-(b:`THE PUDDING`) RETURN COUNT(r) > 0 AS edgeExists:result:True +2024-10-30 06:06:24,313 - lightrag - INFO - get_edge:query: + MATCH (source:`CRATCHIT CHRISTMAS DINNER`)-[r]-(target:`THE PUDDING`) + RETURN r + :result:, ) type='DIRECTED' properties={'keywords': '"traditional dish, celebration"', 'description': '"The Pudding is an important dish that signals the culmination of the Cratchit Christmas dinner, emphasizing the joy and festivity of the occasion."', 'weight': 9.0, 'source_id': 'chunk-7e2e7ebcc19a53b399dc03aded4743e7'}> +2024-10-30 06:06:24,455 - lightrag - INFO - _check_edge_existence:query:MATCH (a:`MRS. CRATCHIT`)-[r]-(b:`THE DINNER`) RETURN COUNT(r) > 0 AS edgeExists:result:True +2024-10-30 06:06:24,589 - lightrag - INFO - get_edge:query: + MATCH (source:`MRS. CRATCHIT`)-[r]-(target:`THE DINNER`) + RETURN r + :result:, ) type='DIRECTED' properties={'keywords': '"food preparation, holiday tradition"', 'description': '"Mrs. Cratchit prepares the dinner with pride, particularly the pudding, making it a highlight of the family\'s Christmas celebration."', 'weight': 9.0, 'source_id': 'chunk-503f0bfa5453467c7c61d160a3540eca'}> +2024-10-30 06:06:24,729 - lightrag - INFO - _check_edge_existence:query:MATCH (a:`THE CRATCHIT FAMILY`)-[r]-(b:`THE DINNER`) RETURN COUNT(r) > 0 AS edgeExists:result:True +2024-10-30 06:06:24,862 - lightrag - INFO - get_edge:query: + MATCH (source:`THE CRATCHIT FAMILY`)-[r]-(target:`THE DINNER`) + RETURN r + :result:, ) type='DIRECTED' properties={'keywords': '"family unity, celebration"', 'description': '"The Cratchit Family comes together for The Dinner, showcasing their unity and holiday spirit, despite their modest means."', 'weight': 10.0, 'source_id': 'chunk-503f0bfa5453467c7c61d160a3540eca'}> +2024-10-30 06:06:25,003 - lightrag - INFO - _check_edge_existence:query:MATCH (a:`SCROOGE`)-[r]-(b:`TINY TIM`) RETURN COUNT(r) > 0 AS edgeExists:result:True +2024-10-30 06:06:25,136 - lightrag - INFO - get_edge:query: + MATCH (source:`SCROOGE`)-[r]-(target:`TINY TIM`) + RETURN r + :result:, ) type='DIRECTED' properties={'keywords': '"personal transformation, empathy""transformation, mentorship""transformation, redemption"', 'description': '"Scrooge becomes a father figure to Tiny Tim, showing a deep commitment to his well-being after realizing the importance of family and caring for others.""Scrooge reflects on Tiny Tim and expresses concern for his wellbeing, indicating a pivotal change in his character and attitudes towards the less fortunate.""Scrooge\'s transformation is influenced by his reflections on the impact of Tiny Tim\'s life and death."', 'weight': 26.0, 'source_id': 'chunk-94bea83e7153fc2064aa382b494936a1chunk-503f0bfa5453467c7c61d160a3540ecachunk-91572b3cd42786ba4cb2f180ca25cbf4'}> +2024-10-30 06:06:25,275 - lightrag - INFO - _check_edge_existence:query:MATCH (a:`THE DINNER`)-[r]-(b:`THE GOOSE`) RETURN COUNT(r) > 0 AS edgeExists:result:True +2024-10-30 06:06:25,415 - lightrag - INFO - get_edge:query: + MATCH (source:`THE DINNER`)-[r]-(target:`THE GOOSE`) + RETURN r + :result:, ) type='DIRECTED' properties={'keywords': '"holiday meal, celebration"', 'description': '"The Goose is a significant part of The Dinner, representing the main course that brings joy and satisfaction to the Cratchit family."', 'weight': 8.0, 'source_id': 'chunk-503f0bfa5453467c7c61d160a3540eca'}> +2024-10-30 06:06:25,553 - lightrag - INFO - _check_edge_existence:query:MATCH (a:`THE DINNER`)-[r]-(b:`THE PUDDING`) RETURN COUNT(r) > 0 AS edgeExists:result:True +2024-10-30 06:06:25,686 - lightrag - INFO - get_edge:query: + MATCH (source:`THE DINNER`)-[r]-(target:`THE PUDDING`) + RETURN r + :result:, ) type='DIRECTED' properties={'keywords': '"dessert, holiday tradition"', 'description': '"The Pudding is a highlight of The Dinner, showcasing Mrs. Cratchit\'s skill and adding to the festive atmosphere."', 'weight': 9.0, 'source_id': 'chunk-503f0bfa5453467c7c61d160a3540eca'}> +2024-10-30 06:06:25,828 - lightrag - INFO - _check_edge_existence:query:MATCH (a:`MISS BELINDA`)-[r]-(b:`THE DINNER`) RETURN COUNT(r) > 0 AS edgeExists:result:True +2024-10-30 06:06:25,964 - lightrag - INFO - get_edge:query: + MATCH (source:`MISS BELINDA`)-[r]-(target:`THE DINNER`) + RETURN r + :result:, ) type='DIRECTED' properties={'keywords': '"family contribution, teamwork"', 'description': '"Miss Belinda\'s role in changing the plates represents her contribution to the family effort in celebrating The Dinner."', 'weight': 7.0, 'source_id': 'chunk-503f0bfa5453467c7c61d160a3540eca'}> +2024-10-30 06:06:26,106 - lightrag - INFO - _check_edge_existence:query:MATCH (a:`CHRISTMAS`)-[r]-(b:`THE DINNER`) RETURN COUNT(r) > 0 AS edgeExists:result:True +2024-10-30 06:06:26,239 - lightrag - INFO - get_edge:query: + MATCH (source:`CHRISTMAS`)-[r]-(target:`THE DINNER`) + RETURN r + :result:, ) type='DIRECTED' properties={'keywords': '"festive occasion, celebration"', 'description': '"The Dinner is part of the Christmas celebration, reflecting the traditions and spirit associated with this holiday."', 'weight': 10.0, 'source_id': 'chunk-503f0bfa5453467c7c61d160a3540eca'}> +2024-10-30 06:06:26,383 - lightrag - INFO - _check_edge_existence:query:MATCH (a:`SCROOGE`)-[r]-(b:`THE FOUNDER OF THE FEAST`) RETURN COUNT(r) > 0 AS edgeExists:result:True +2024-10-30 06:06:26,517 - lightrag - INFO - get_edge:query: + MATCH (source:`SCROOGE`)-[r]-(target:`THE FOUNDER OF THE FEAST`) + RETURN r + :result:, ) type='DIRECTED' properties={'keywords': '"gratitude, recognition"', 'description': '"Scrooge\'s contribution as The Founder of the Feast is acknowledged by Bob, highlighting the connection between Scrooge and the Cratchit family\'s Christmas dinner."', 'weight': 8.0, 'source_id': 'chunk-503f0bfa5453467c7c61d160a3540eca'}> +2024-10-30 06:06:26,656 - lightrag - INFO - _check_edge_existence:query:MATCH (a:`MRS. CRATCHIT`)-[r]-(b:`SCROOGE`) RETURN COUNT(r) > 0 AS edgeExists:result:True +2024-10-30 06:06:26,789 - lightrag - INFO - get_edge:query: + MATCH (source:`MRS. CRATCHIT`)-[r]-(target:`SCROOGE`) + RETURN r + :result:, ) type='DIRECTED' properties={'keywords': '"criticism, emotional conflict"', 'description': '"Mrs. Cratchit openly criticizes Scrooge during the Christmas dinner, expressing her feelings towards him and emphasizing the family\'s resentment."', 'weight': 8.0, 'source_id': 'chunk-19d72c57ae3408758b18d2568e86dc6b'}> +2024-10-30 06:06:26,930 - lightrag - INFO - _check_edge_existence:query:MATCH (a:`CRATCHIT FAMILY`)-[r]-(b:`THE SPIRIT`) RETURN COUNT(r) > 0 AS edgeExists:result:True +2024-10-30 06:06:27,064 - lightrag - INFO - get_edge:query: + MATCH (source:`CRATCHIT FAMILY`)-[r]-(target:`THE SPIRIT`) + RETURN r + :result:, ) type='DIRECTED' properties={'keywords': '"holiday spirit, influence"', 'description': '"The Spirit influences the Christmas gathering of the Cratchit family by promoting joy and generosity, impacting their celebration."', 'weight': 9.0, 'source_id': 'chunk-19d72c57ae3408758b18d2568e86dc6b'}> +2024-10-30 06:06:27,204 - lightrag - INFO - _check_edge_existence:query:MATCH (a:`CHRISTMAS DAY`)-[r]-(b:`CRATCHIT FAMILY`) RETURN COUNT(r) > 0 AS edgeExists:result:True +2024-10-30 06:06:27,365 - lightrag - INFO - get_edge:query: + MATCH (source:`CHRISTMAS DAY`)-[r]-(target:`CRATCHIT FAMILY`) + RETURN r + :result:, ) type='DIRECTED' properties={'keywords': '"celebration, tradition""celebration, unity"', 'description': '"The Cratchit Family gathers to celebrate Christmas Day, reflecting their togetherness and joy despite their hardships.""The Cratchit Family\'s celebration on Christmas Day emphasizes their unity and joy in sharing the holiday together."', 'weight': 19.0, 'source_id': 'chunk-7e2e7ebcc19a53b399dc03aded4743e7chunk-19d72c57ae3408758b18d2568e86dc6b'}> +2024-10-30 06:06:27,505 - lightrag - INFO - _check_edge_existence:query:MATCH (a:`MARTHA CRATCHIT`)-[r]-(b:`PETER CRATCHIT`) RETURN COUNT(r) > 0 AS edgeExists:result:True +2024-10-30 06:06:27,641 - lightrag - INFO - get_edge:query: + MATCH (source:`MARTHA CRATCHIT`)-[r]-(target:`PETER CRATCHIT`) + RETURN r + :result:, ) type='DIRECTED' properties={'keywords': '"sibling relationship, family dynamics"', 'description': '"Peter and Martha interact as siblings during the Christmas gathering, reflecting familial bonds and shared experiences."', 'weight': 7.0, 'source_id': 'chunk-19d72c57ae3408758b18d2568e86dc6b'}> +2024-10-30 06:06:27,779 - lightrag - INFO - _check_edge_existence:query:MATCH (a:`MARTHA CRATCHIT`)-[r]-(b:`THE COUNTESS`) RETURN COUNT(r) > 0 AS edgeExists:result:True +2024-10-30 06:06:27,915 - lightrag - INFO - get_edge:query: + MATCH (source:`MARTHA CRATCHIT`)-[r]-(target:`THE COUNTESS`) + RETURN r + :result:, ) type='DIRECTED' properties={'keywords': '"social aspirations, class contrast"', 'description': '"Martha’s mention of having seen the Countess represents her connection to higher social circles and dreams beyond her current situation."', 'weight': 5.0, 'source_id': 'chunk-19d72c57ae3408758b18d2568e86dc6b'}> +2024-10-30 06:06:28,057 - lightrag - INFO - _check_edge_existence:query:MATCH (a:`THE CRATCHIT FAMILY`)-[r]-(b:`TINY TIM`) RETURN COUNT(r) > 0 AS edgeExists:result:True +2024-10-30 06:06:28,192 - lightrag - INFO - get_edge:query: + MATCH (source:`THE CRATCHIT FAMILY`)-[r]-(target:`TINY TIM`) + RETURN r + :result:, ) type='DIRECTED' properties={'keywords': '"family unity, hope"', 'description': '"Tiny Tim is an integral part of the Cratchit family, embodying their hopes and joys during the Christmas festivities."', 'weight': 9.0, 'source_id': 'chunk-19d72c57ae3408758b18d2568e86dc6b'}> +2024-10-30 06:06:28,364 - lightrag - INFO - _check_edge_existence:query:MATCH (a:`BOB CRATCHIT`)-[r]-(b:`THE GATHERING`) RETURN COUNT(r) > 0 AS edgeExists:result:True +2024-10-30 06:06:28,498 - lightrag - INFO - get_edge:query: + MATCH (source:`BOB CRATCHIT`)-[r]-(target:`THE GATHERING`) + RETURN r + :result:, ) type='DIRECTED' properties={'keywords': '"family commitment, celebration"', 'description': '"Bob Cratchit leads his family in the Christmas Gathering, showcasing their love and commitment to celebrating together despite worries."', 'weight': 8.0, 'source_id': 'chunk-19d72c57ae3408758b18d2568e86dc6b'}> +2024-10-30 06:06:28,635 - lightrag - INFO - _check_edge_existence:query:MATCH (a:`THE GATHERING`)-[r]-(b:`THE SPIRIT`) RETURN COUNT(r) > 0 AS edgeExists:result:True +2024-10-30 06:06:28,768 - lightrag - INFO - get_edge:query: + MATCH (source:`THE GATHERING`)-[r]-(target:`THE SPIRIT`) + RETURN r + :result:, ) type='DIRECTED' properties={'keywords': '"holiday influence, spirit embodiment"', 'description': '"The Spirit enhances The Gathering by infusing it with joy and positivity, transforming the atmosphere into one of celebration."', 'weight': 9.0, 'source_id': 'chunk-19d72c57ae3408758b18d2568e86dc6b'}> +2024-10-30 06:06:28,903 - lightrag - INFO - _check_edge_existence:query:MATCH (a:`CHRISTMAS`)-[r]-(b:`THE LIGHTHOUSE`) RETURN COUNT(r) > 0 AS edgeExists:result:True +2024-10-30 06:06:29,038 - lightrag - INFO - get_edge:query: + MATCH (source:`CHRISTMAS`)-[r]-(target:`THE LIGHTHOUSE`) + RETURN r + :result:, ) type='DIRECTED' properties={'keywords': '"hope, celebration"', 'description': '"The Lighthouse is a site where Christmas is celebrated, symbolizing hope and warmth in a bleak environment."', 'weight': 7.0, 'source_id': 'chunk-91614df5cb74cbe5e109a338a82041e9'}> +2024-10-30 06:06:29,177 - lightrag - INFO - _check_edge_existence:query:MATCH (a:`CHRISTMAS`)-[r]-(b:`THE SHIP`) RETURN COUNT(r) > 0 AS edgeExists:result:True +2024-10-30 06:06:29,311 - lightrag - INFO - get_edge:query: + MATCH (source:`CHRISTMAS`)-[r]-(target:`THE SHIP`) + RETURN r + :result:, ) type='DIRECTED' properties={'keywords': '"unity, shared experience"', 'description': '"The Ship\'s crew celebrates Christmas together, creating a sense of unity and shared joy despite their circumstances."', 'weight': 8.0, 'source_id': 'chunk-91614df5cb74cbe5e109a338a82041e9'}> +2024-10-30 06:06:29,452 - lightrag - INFO - _check_edge_existence:query:MATCH (a:`SCROOGE`)-[r]-(b:`THE LAMPLIGHTER`) RETURN COUNT(r) > 0 AS edgeExists:result:True +2024-10-30 06:06:29,585 - lightrag - INFO - get_edge:query: + MATCH (source:`SCROOGE`)-[r]-(target:`THE LAMPLIGHTER`) + RETURN r + :result:, ) type='DIRECTED' properties={'keywords': '"contrast, positivity"', 'description': '"The Lamplighter\'s cheerful demeanor contrasts with Scrooge\'s initial outlook, highlighting the possibility of joy in life."', 'weight': 6.0, 'source_id': 'chunk-91614df5cb74cbe5e109a338a82041e9'}> +2024-10-30 06:06:29,723 - lightrag - INFO - _check_edge_existence:query:MATCH (a:`THE HUT`)-[r]-(b:`THE OLD MAN`) RETURN COUNT(r) > 0 AS edgeExists:result:True +2024-10-30 06:06:29,858 - lightrag - INFO - get_edge:query: + MATCH (source:`THE HUT`)-[r]-(target:`THE OLD MAN`) + RETURN r + :result:, ) type='DIRECTED' properties={'keywords': '"tradition, family gathering"', 'description': '"The Old Man leads the gathering in song within the Hut, showcasing the warmth of family during Christmas."', 'weight': 8.0, 'source_id': 'chunk-91614df5cb74cbe5e109a338a82041e9'}> +2024-10-30 06:06:30,000 - lightrag - INFO - _check_edge_existence:query:MATCH (a:`THE HUT`)-[r]-(b:`THE MINERS`) RETURN COUNT(r) > 0 AS edgeExists:result:True +2024-10-30 06:06:30,135 - lightrag - INFO - get_edge:query: + MATCH (source:`THE HUT`)-[r]-(target:`THE MINERS`) + RETURN r + :result:, ) type='DIRECTED' properties={'keywords': '"community, resilience"', 'description': '"The Miners find solace and community in the Hut during Christmas, emphasizing the importance of gathering during difficult times."', 'weight': 7.0, 'source_id': 'chunk-91614df5cb74cbe5e109a338a82041e9'}> +2024-10-30 06:06:30,269 - lightrag - INFO - _check_edge_existence:query:MATCH (a:`THE OFFICERS`)-[r]-(b:`THE SHIP`) RETURN COUNT(r) > 0 AS edgeExists:result:True +2024-10-30 06:06:30,405 - lightrag - INFO - get_edge:query: + MATCH (source:`THE OFFICERS`)-[r]-(target:`THE SHIP`) + RETURN r + :result:, ) type='DIRECTED' properties={'keywords': '"camaraderie, festive spirit"', 'description': '"The Officers aboard the Ship share in the collective spirit of Christmas, contributing to the festive atmosphere during their duty."', 'weight': 8.0, 'source_id': 'chunk-91614df5cb74cbe5e109a338a82041e9'}> +2024-10-30 06:06:30,550 - lightrag - INFO - _check_edge_existence:query:MATCH (a:`THE LIGHTHOUSE`)-[r]-(b:`THE WAVE`) RETURN COUNT(r) > 0 AS edgeExists:result:True +2024-10-30 06:06:30,686 - lightrag - INFO - get_edge:query: + MATCH (source:`THE LIGHTHOUSE`)-[r]-(target:`THE WAVE`) + RETURN r + :result:, ) type='DIRECTED' properties={'keywords': '"struggle, isolation"', 'description': '"The Wave\'s constant battering of the Lighthouse highlights the isolation and challenges faced by those in such remote environments."', 'weight': 7.0, 'source_id': 'chunk-91614df5cb74cbe5e109a338a82041e9'}> +2024-10-30 06:06:30,825 - lightrag - INFO - _check_edge_existence:query:MATCH (a:`STORM-BIRDS`)-[r]-(b:`THE LIGHTHOUSE`) RETURN COUNT(r) > 0 AS edgeExists:result:True +2024-10-30 06:06:30,960 - lightrag - INFO - get_edge:query: + MATCH (source:`STORM-BIRDS`)-[r]-(target:`THE LIGHTHOUSE`) + RETURN r + :result:, ) type='DIRECTED' properties={'keywords': '"wildness, nature"', 'description': '"Storm-Birds surrounding the Lighthouse reflect the wildness and unpredictability of the sea, enhancing the sense of danger and solitude."', 'weight': 6.0, 'source_id': 'chunk-91614df5cb74cbe5e109a338a82041e9'}> +2024-10-30 06:06:31,100 - lightrag - INFO - _check_edge_existence:query:MATCH (a:`SCROOGE`)-[r]-(b:`SCROOGE'S NIECE`) RETURN COUNT(r) > 0 AS edgeExists:result:True +2024-10-30 06:06:31,233 - lightrag - INFO - get_edge:query: + MATCH (source:`SCROOGE`)-[r]-(target:`SCROOGE'S NIECE`) + RETURN r + :result:, ) type='DIRECTED' properties={'keywords': '"family bonds, celebration""ideological conflict, family dynamics"', 'description': '"Scrooge\'s Niece expresses indignation towards Scrooge\'s belief that Christmas is a humbug, demonstrating her strong opinions against his views.""Scrooge\'s niece embraces the joyful atmosphere of the celebration, engaging with family and inviting good-natured fun."', 'weight': 15.0, 'source_id': 'chunk-773d0df1dd25c356f7b771d780583e09chunk-43c9bee23adfa77aa9dedd22401bba7d'}> +2024-10-30 06:06:31,368 - lightrag - INFO - _check_edge_existence:query:MATCH (a:`SCROOGE'S NEPHEW`)-[r]-(b:`SCROOGE'S NIECE`) RETURN COUNT(r) > 0 AS edgeExists:result:True +2024-10-30 06:06:31,506 - lightrag - INFO - get_edge:query: + MATCH (source:`SCROOGE'S NEPHEW`)-[r]-(target:`SCROOGE'S NIECE`) + RETURN r + :result:, ) type='DIRECTED' properties={'keywords': '"family interaction, playful rivalry""shared humor, family bonding"', 'description': '"Scrooge\'s Nephew and Scrooge\'s Niece share a humorous dynamic, both laughing and contrasting with Scrooge\'s grim outlook.""Scrooge\'s nephew and niece engage in playful banter and competition during the games, enhancing their familial bond."', 'weight': 15.0, 'source_id': 'chunk-773d0df1dd25c356f7b771d780583e09chunk-43c9bee23adfa77aa9dedd22401bba7d'}> +2024-10-30 06:06:31,645 - lightrag - INFO - _check_edge_existence:query:MATCH (a:`SCROOGE'S NIECE`)-[r]-(b:`TOPPER`) RETURN COUNT(r) > 0 AS edgeExists:result:True +2024-10-30 06:06:31,781 - lightrag - INFO - get_edge:query: + MATCH (source:`SCROOGE'S NIECE`)-[r]-(target:`TOPPER`) + RETURN r + :result:, ) type='DIRECTED' properties={'keywords': '"romantic interest, social dynamics"', 'description': '"Topper shows interest in Scrooge\'s Niece, indicating a budding romantic interest during the family gathering."', 'weight': 6.0, 'source_id': 'chunk-773d0df1dd25c356f7b771d780583e09'}> +2024-10-30 06:06:31,929 - lightrag - INFO - _check_edge_existence:query:MATCH (a:`SCROOGE'S NIECE`)-[r]-(b:`SCROOGE'S NIECE'S SISTERS`) RETURN COUNT(r) > 0 AS edgeExists:result:True +2024-10-30 06:06:32,068 - lightrag - INFO - get_edge:query: + MATCH (source:`SCROOGE'S NIECE`)-[r]-(target:`SCROOGE'S NIECE'S SISTERS`) + RETURN r + :result:, ) type='DIRECTED' properties={'keywords': '"sisterly bond, shared sentiment"', 'description': '"Scrooge\'s Niece\'s Sisters share the same lively spirit and engage in laughter, supporting her sentiments towards their uncle Scrooge."', 'weight': 8.0, 'source_id': 'chunk-773d0df1dd25c356f7b771d780583e09'}> +2024-10-30 06:06:32,206 - lightrag - INFO - _check_edge_existence:query:MATCH (a:`DINNER`)-[r]-(b:`SCROOGE'S NEPHEW`) RETURN COUNT(r) > 0 AS edgeExists:result:True +2024-10-30 06:06:32,341 - lightrag - INFO - get_edge:query: + MATCH (source:`DINNER`)-[r]-(target:`SCROOGE'S NEPHEW`) + RETURN r + :result:, ) type='DIRECTED' properties={'keywords': '"family, celebration"', 'description': '"Scrooge\'s Nephew emphasizes the pleasure of sharing Dinner with loved ones, highlighting the importance of family connections during holiday gatherings."', 'weight': 9.0, 'source_id': 'chunk-773d0df1dd25c356f7b771d780583e09'}> +2024-10-30 06:06:32,484 - lightrag - INFO - _check_edge_existence:query:MATCH (a:`SCROOGE'S NEPHEW`)-[r]-(b:`TOPPER`) RETURN COUNT(r) > 0 AS edgeExists:result:True +2024-10-30 06:06:32,618 - lightrag - INFO - get_edge:query: + MATCH (source:`SCROOGE'S NEPHEW`)-[r]-(target:`TOPPER`) + RETURN r + :result:, ) type='DIRECTED' properties={'keywords': '"social interaction, camaraderie"', 'description': '"Topper interacts with Scrooge\'s Nephew during the festivities, engaging in dialogue that enhances the light-hearted atmosphere of the gathering."', 'weight': 6.0, 'source_id': 'chunk-773d0df1dd25c356f7b771d780583e09'}> +2024-10-30 06:06:32,759 - lightrag - INFO - _check_edge_existence:query:MATCH (a:`SCROOGE`)-[r]-(b:`TOPPER`) RETURN COUNT(r) > 0 AS edgeExists:result:True +2024-10-30 06:06:32,891 - lightrag - INFO - get_edge:query: + MATCH (source:`SCROOGE`)-[r]-(target:`TOPPER`) + RETURN r + :result:, ) type='DIRECTED' properties={'keywords': '"observation, merriment"', 'description': '"Scrooge observes Topper\'s antics and expressions of joy during the games, revealing a reflection on human nature and merriment."', 'weight': 6.0, 'source_id': 'chunk-43c9bee23adfa77aa9dedd22401bba7d'}> +2024-10-30 06:06:33,030 - lightrag - INFO - _check_edge_existence:query:MATCH (a:`CHRISTMAS HOLIDAYS`)-[r]-(b:`SCROOGE`) RETURN COUNT(r) > 0 AS edgeExists:result:True +2024-10-30 06:06:33,165 - lightrag - INFO - get_edge:query: + MATCH (source:`CHRISTMAS HOLIDAYS`)-[r]-(target:`SCROOGE`) + RETURN r + :result:, ) type='DIRECTED' properties={'keywords': '"transformation, significance of time"', 'description': '"Christmas Holidays are integral to Scrooge\'s journey, representing the time of year that prompts his change and reinstates joy."', 'weight': 8.0, 'source_id': 'chunk-e7637ff18c5ded77a68cce0a87883fad'}> +2024-10-30 06:06:33,306 - lightrag - INFO - _check_edge_existence:query:MATCH (a:`IGNORANCE`)-[r]-(b:`SPIRIT`) RETURN COUNT(r) > 0 AS edgeExists:result:True +2024-10-30 06:06:33,437 - lightrag - INFO - get_edge:query: + MATCH (source:`IGNORANCE`)-[r]-(target:`SPIRIT`) + RETURN r + :result:, ) type='DIRECTED' properties={'keywords': '"social issues, awareness""social warning, awareness"', 'description': '"The Spirit introduces Ignorance to Scrooge as a representation of societal failures, urging him to acknowledge and address these issues.""The Spirit points out Ignorance, highlighting the need for awareness and responsibility toward societal issues."', 'weight': 15.0, 'source_id': 'chunk-e7637ff18c5ded77a68cce0a87883fadchunk-02baee20cc9463dbe08170a8e1043e32'}> +2024-10-30 06:06:33,575 - lightrag - INFO - _check_edge_existence:query:MATCH (a:`SPIRIT`)-[r]-(b:`WANT`) RETURN COUNT(r) > 0 AS edgeExists:result:True +2024-10-30 06:06:33,706 - lightrag - INFO - get_edge:query: + MATCH (source:`SPIRIT`)-[r]-(target:`WANT`) + RETURN r + :result:, ) type='DIRECTED' properties={'keywords': '"social issues, need for compassion""social warning, deprivation"', 'description': '"The Spirit points out Want, symbolizing the dire consequences of neglecting societal needs.""The Spirit presents Want along with Ignorance, symbolizing the plight of the less fortunate and appealing for compassion."', 'weight': 15.0, 'source_id': 'chunk-e7637ff18c5ded77a68cce0a87883fadchunk-02baee20cc9463dbe08170a8e1043e32'}> +2024-10-30 06:06:33,847 - lightrag - INFO - _check_edge_existence:query:MATCH (a:`CITY`)-[r]-(b:`SPIRIT`) RETURN COUNT(r) > 0 AS edgeExists:result:True +2024-10-30 06:06:33,982 - lightrag - INFO - get_edge:query: + MATCH (source:`CITY`)-[r]-(target:`SPIRIT`) + RETURN r + :result:, ) type='DIRECTED' properties={'keywords': '"atmospheric change, reality"', 'description': '"The Spirit’s presence affects the atmosphere of the City, showcasing the stark realities of life and death surrounding Scrooge."', 'weight': 6.0, 'source_id': 'chunk-02baee20cc9463dbe08170a8e1043e32'}> +2024-10-30 06:06:34,123 - lightrag - INFO - _check_edge_existence:query:MATCH (a:`JACOB`)-[r]-(b:`SCROOGE`) RETURN COUNT(r) > 0 AS edgeExists:result:True +2024-10-30 06:06:34,261 - lightrag - INFO - get_edge:query: + MATCH (source:`JACOB`)-[r]-(target:`SCROOGE`) + RETURN r + :result:, ) type='DIRECTED' properties={'keywords': '"reflection, past relationship"', 'description': '"Scrooge reflects on his past relationship with Jacob, influenced by feelings of guilt and loss after Jacob\'s death."', 'weight': 8.0, 'source_id': 'chunk-f1a4fbcf1ed86864b9bfd5e8dba4c683'}> +2024-10-30 06:06:34,399 - lightrag - INFO - _check_edge_existence:query:MATCH (a:`THE LOW-BROWED SHOP`)-[r]-(b:`THE TOWN`) RETURN COUNT(r) > 0 AS edgeExists:result:True +2024-10-30 06:06:34,531 - lightrag - INFO - get_edge:query: + MATCH (source:`THE LOW-BROWED SHOP`)-[r]-(target:`THE TOWN`) + RETURN r + :result:, ) type='DIRECTED' properties={'keywords': '"socioeconomic issues, decay"', 'description': '"The Low-Browed Shop exists within The Town, reflecting its degradation and the poor conditions of its inhabitants."', 'weight': 7.0, 'source_id': 'chunk-f1a4fbcf1ed86864b9bfd5e8dba4c683'}> +2024-10-30 06:06:34,675 - lightrag - INFO - _check_edge_existence:query:MATCH (a:`RED-FACED GENTLEMAN`)-[r]-(b:`SCROOGE`) RETURN COUNT(r) > 0 AS edgeExists:result:True +2024-10-30 06:06:34,808 - lightrag - INFO - get_edge:query: + MATCH (source:`RED-FACED GENTLEMAN`)-[r]-(target:`SCROOGE`) + RETURN r + :result:, ) type='DIRECTED' properties={'keywords': '"humor, communal context"', 'description': '"Scrooge observes the conversation of the Red-faced Gentleman, which offers humorous insights into communal attitudes toward death."', 'weight': 6.0, 'source_id': 'chunk-f1a4fbcf1ed86864b9bfd5e8dba4c683'}> +2024-10-30 06:06:34,943 - lightrag - INFO - _check_edge_existence:query:MATCH (a:`GENTLEMAN WITH THE EXCRESCENCE`)-[r]-(b:`RED-FACED GENTLEMAN`) RETURN COUNT(r) > 0 AS edgeExists:result:True +2024-10-30 06:06:35,079 - lightrag - INFO - get_edge:query: + MATCH (source:`GENTLEMAN WITH THE EXCRESCENCE`)-[r]-(target:`RED-FACED GENTLEMAN`) + RETURN r + :result:, ) type='DIRECTED' properties={'keywords': '"social interaction, humor"', 'description': '"Both gentlemen engage in light-hearted banter about the funeral, reflecting casual societal norms in their discussion."', 'weight': 7.0, 'source_id': 'chunk-f1a4fbcf1ed86864b9bfd5e8dba4c683'}> +2024-10-30 06:06:35,221 - lightrag - INFO - _check_edge_existence:query:MATCH (a:`SCROOGE`)-[r]-(b:`THE PHANTOM`) RETURN COUNT(r) > 0 AS edgeExists:result:True +2024-10-30 06:06:35,354 - lightrag - INFO - get_edge:query: + MATCH (source:`SCROOGE`)-[r]-(target:`THE PHANTOM`) + RETURN r + :result:, ) type='DIRECTED' properties={'keywords': '"guidance, self-reflection"', 'description': '"Scrooge interacts with the Phantom, which guides him through reflections on his life and future, emphasizing his journey of change."', 'weight': 9.0, 'source_id': 'chunk-f1a4fbcf1ed86864b9bfd5e8dba4c683'}> +2024-10-30 06:06:35,494 - lightrag - INFO - _check_edge_existence:query:MATCH (a:`THE PEOPLE`)-[r]-(b:`THE QUARTER`) RETURN COUNT(r) > 0 AS edgeExists:result:True +2024-10-30 06:06:35,627 - lightrag - INFO - get_edge:query: + MATCH (source:`THE PEOPLE`)-[r]-(target:`THE QUARTER`) + RETURN r + :result:, ) type='DIRECTED' properties={'keywords': '"socioeconomic struggle, societal neglect"', 'description': '"The People inhabit The Quarter, which is characterized by poverty, crime, and a sense of neglect."', 'weight': 9.0, 'source_id': 'chunk-f1a4fbcf1ed86864b9bfd5e8dba4c683'}> +2024-10-30 06:06:35,766 - lightrag - INFO - _check_edge_existence:query:MATCH (a:`THE LOW-BROWED SHOP`)-[r]-(b:`THE PEOPLE`) RETURN COUNT(r) > 0 AS edgeExists:result:True +2024-10-30 06:06:35,898 - lightrag - INFO - get_edge:query: + MATCH (source:`THE LOW-BROWED SHOP`)-[r]-(target:`THE PEOPLE`) + RETURN r + :result:, ) type='DIRECTED' properties={'keywords': '"desperation, commerce"', 'description': '"The Low-Browed Shop serves the needs of The People, representing the harsh realities of their lives in the quarter."', 'weight': 8.0, 'source_id': 'chunk-f1a4fbcf1ed86864b9bfd5e8dba4c683'}> +2024-10-30 06:06:36,036 - lightrag - INFO - _check_edge_existence:query:MATCH (a:`OLD SCRATCH`)-[r]-(b:`THE FUNERAL`) RETURN COUNT(r) > 0 AS edgeExists:result:True +2024-10-30 06:06:36,172 - lightrag - INFO - get_edge:query: + MATCH (source:`OLD SCRATCH`)-[r]-(target:`THE FUNERAL`) + RETURN r + :result:, ) type='DIRECTED' properties={'keywords': '"morbid humor, societal views"', 'description': '"The concept of Old Scratch is invoked in the context of discussions about The Funeral, highlighting societal attitudes towards death."', 'weight': 7.0, 'source_id': 'chunk-f1a4fbcf1ed86864b9bfd5e8dba4c683'}> +2024-10-30 06:06:36,316 - lightrag - INFO - _check_edge_existence:query:MATCH (a:`MRS. DILBER`)-[r]-(b:`OLD JOE`) RETURN COUNT(r) > 0 AS edgeExists:result:True +2024-10-30 06:06:36,450 - lightrag - INFO - get_edge:query: + MATCH (source:`MRS. DILBER`)-[r]-(target:`OLD JOE`) + RETURN r + :result:, ) type='DIRECTED' properties={'keywords': '"business interaction, appraisal"', 'description': '"Old Joe assesses the belongings of Mrs. Dilber, reinforcing his role as an appraiser of stolen goods and demonstrating a tendency to be generous towards women."', 'weight': 6.0, 'source_id': 'chunk-60fc063c79fc0d4acc91a57e79de04dc'}> +2024-10-30 06:06:36,590 - lightrag - INFO - _check_edge_existence:query:MATCH (a:`MRS. DILBER`)-[r]-(b:`THE WOMAN`) RETURN COUNT(r) > 0 AS edgeExists:result:True +2024-10-30 06:06:36,730 - lightrag - INFO - get_edge:query: + MATCH (source:`MRS. DILBER`)-[r]-(target:`THE WOMAN`) + RETURN r + :result:, ) type='DIRECTED' properties={'keywords': '"moral discussion, camaraderie"', 'description': '"Mrs. Dilber and The Woman share a conversational dynamic that touches on the moral implications of their actions, creating a camaraderie as they discuss the deceased."', 'weight': 5.0, 'source_id': 'chunk-60fc063c79fc0d4acc91a57e79de04dc'}> +2024-10-30 06:06:36,869 - lightrag - INFO - _check_edge_existence:query:MATCH (a:`OLD JOE`)-[r]-(b:`THE WOMAN`) RETURN COUNT(r) > 0 AS edgeExists:result:True +2024-10-30 06:06:37,003 - lightrag - INFO - get_edge:query: + MATCH (source:`OLD JOE`)-[r]-(target:`THE WOMAN`) + RETURN r + :result:, ) type='DIRECTED' properties={'keywords': '"business interaction, appraisal"', 'description': '"Old Joe interacts with The Woman as she encourages him to evaluate her stolen bundle, indicating a business-like relationship based on appraisal and exchange."', 'weight': 7.0, 'source_id': 'chunk-60fc063c79fc0d4acc91a57e79de04dc'}> +2024-10-30 06:06:37,143 - lightrag - INFO - _check_edge_existence:query:MATCH (a:`THE MAN IN FADED BLACK`)-[r]-(b:`THE WOMAN`) RETURN COUNT(r) > 0 AS edgeExists:result:True +2024-10-30 06:06:37,276 - lightrag - INFO - get_edge:query: + MATCH (source:`THE MAN IN FADED BLACK`)-[r]-(target:`THE WOMAN`) + RETURN r + :result:, ) type='DIRECTED' properties={'keywords': '"shared activity, community"', 'description': '"The Man in Faded Black shares his modest plunder with The Woman, building a sense of community among the characters involved."', 'weight': 5.0, 'source_id': 'chunk-60fc063c79fc0d4acc91a57e79de04dc'}> +2024-10-30 06:06:37,423 - lightrag - INFO - _check_edge_existence:query:MATCH (a:`OLD JOE`)-[r]-(b:`THE GATHERING`) RETURN COUNT(r) > 0 AS edgeExists:result:True +2024-10-30 06:06:37,560 - lightrag - INFO - get_edge:query: + MATCH (source:`OLD JOE`)-[r]-(target:`THE GATHERING`) + RETURN r + :result:, ) type='DIRECTED' properties={'keywords': '"facilitation, social dynamics"', 'description': '"Old Joe facilitates The Gathering by appraising the items brought by each character, serving as a focal point for their interactions."', 'weight': 9.0, 'source_id': 'chunk-60fc063c79fc0d4acc91a57e79de04dc'}> +2024-10-30 06:06:37,694 - lightrag - INFO - _check_edge_existence:query:MATCH (a:`SCROOGE`)-[r]-(b:`THE DECEASED MAN`) RETURN COUNT(r) > 0 AS edgeExists:result:True +2024-10-30 06:06:37,829 - lightrag - INFO - get_edge:query: + MATCH (source:`SCROOGE`)-[r]-(target:`THE DECEASED MAN`) + RETURN r + :result:, ) type='DIRECTED' properties={'keywords': '"moral reflection, consequence"', 'description': '"Scrooge reflects on the life and death of The Deceased Man, prompting introspection about his own life choices."', 'weight': 9.0, 'source_id': 'chunk-e1f29eeadc1d8ab46dc8a0bbd3c56b64'}> +2024-10-30 06:06:37,971 - lightrag - INFO - _check_edge_existence:query:MATCH (a:`JOE`)-[r]-(b:`SCROOGE`) RETURN COUNT(r) > 0 AS edgeExists:result:True +2024-10-30 06:06:38,108 - lightrag - INFO - get_edge:query: + MATCH (source:`JOE`)-[r]-(target:`SCROOGE`) + RETURN r + :result:, ) type='DIRECTED' properties={'keywords': '"perspective contrast, moral dilemma"', 'description': '"Joe\'s cynical attitude towards death and belongings contrasts with Scrooge\'s moral horror, creating a tension between their perspectives."', 'weight': 6.0, 'source_id': 'chunk-e1f29eeadc1d8ab46dc8a0bbd3c56b64'}> +2024-10-30 06:06:38,250 - lightrag - INFO - _check_edge_existence:query:MATCH (a:`DEATH`)-[r]-(b:`THE BED`) RETURN COUNT(r) > 0 AS edgeExists:result:True +2024-10-30 06:06:38,420 - lightrag - INFO - get_edge:query: + MATCH (source:`DEATH`)-[r]-(target:`THE BED`) + RETURN r + :result:, ) type='DIRECTED' properties={'keywords': '"finality, mortality"', 'description': '"Death is inherently linked to The Bed as the resting place of the deceased, symbolizing the finality of life and the legacy left behind."', 'weight': 8.0, 'source_id': 'chunk-e1f29eeadc1d8ab46dc8a0bbd3c56b64'}> +2024-10-30 06:06:38,562 - lightrag - INFO - _check_edge_existence:query:MATCH (a:`THE BUNDLE`)-[r]-(b:`THE DECEASED MAN`) RETURN COUNT(r) > 0 AS edgeExists:result:True +2024-10-30 06:06:38,699 - lightrag - INFO - get_edge:query: + MATCH (source:`THE BUNDLE`)-[r]-(target:`THE DECEASED MAN`) + RETURN r + :result:, ) type='DIRECTED' properties={'keywords': '"material legacy, value"', 'description': '"The Bundle contains the belongings that once belonged to The Deceased Man, illustrating the material value placed on his life after death."', 'weight': 7.0, 'source_id': 'chunk-e1f29eeadc1d8ab46dc8a0bbd3c56b64'}> +2024-10-30 06:06:38,840 - lightrag - INFO - _check_edge_existence:query:MATCH (a:`THE BLANKETS`)-[r]-(b:`THE CORPSE`) RETURN COUNT(r) > 0 AS edgeExists:result:True +2024-10-30 06:06:38,975 - lightrag - INFO - get_edge:query: + MATCH (source:`THE BLANKETS`)-[r]-(target:`THE CORPSE`) + RETURN r + :result:, ) type='DIRECTED' properties={'keywords': '"care, human connection"', 'description': '"The Blankets are directly associated with The Corpse, indicating the human connections and care traditionally shown to the dead."', 'weight': 8.0, 'source_id': 'chunk-e1f29eeadc1d8ab46dc8a0bbd3c56b64'}> +2024-10-30 06:06:39,112 - lightrag - INFO - _check_edge_existence:query:MATCH (a:`THE BLANKET`)-[r]-(b:`THE OIL`) RETURN COUNT(r) > 0 AS edgeExists:result:True +2024-10-30 06:06:39,247 - lightrag - INFO - get_edge:query: + MATCH (source:`THE BLANKET`)-[r]-(target:`THE OIL`) + RETURN r + :result:, ) type='DIRECTED' properties={'keywords': '"materialism, carelessness"', 'description': '"The Oil’s presence suggests a practical yet insensitive attitude towards the care of The Blanket and the deceased."', 'weight': 6.0, 'source_id': 'chunk-e1f29eeadc1d8ab46dc8a0bbd3c56b64'}> +2024-10-30 06:06:39,389 - lightrag - INFO - _check_edge_existence:query:MATCH (a:`SCROOGE`)-[r]-(b:`THE CORPSE`) RETURN COUNT(r) > 0 AS edgeExists:result:True +2024-10-30 06:06:39,525 - lightrag - INFO - get_edge:query: + MATCH (source:`SCROOGE`)-[r]-(target:`THE CORPSE`) + RETURN r + :result:, ) type='DIRECTED' properties={'keywords': '"introspection, life choices"', 'description': '"Scrooge’s horror upon seeing The Corpse prompts deep reflection on his own life choices and morality."', 'weight': 9.0, 'source_id': 'chunk-e1f29eeadc1d8ab46dc8a0bbd3c56b64'}> +2024-10-30 06:06:39,665 - lightrag - INFO - _check_edge_existence:query:MATCH (a:`BOB CRATCHIT`)-[r]-(b:`CAROLINE`) RETURN COUNT(r) > 0 AS edgeExists:result:True +2024-10-30 06:06:39,802 - lightrag - INFO - get_edge:query: + MATCH (source:`BOB CRATCHIT`)-[r]-(target:`CAROLINE`) + RETURN r + :result:, ) type='DIRECTED' properties={'keywords': '"hope, financial strain"', 'description': '"Caroline expresses hope combined with anxiety regarding their financial situation, affecting her relationship with Bob Cratchit."', 'weight': 7.0, 'source_id': 'chunk-83ac129dc9b56f84c46760d153d68e93'}> +2024-10-30 06:06:39,942 - lightrag - INFO - _check_edge_existence:query:MATCH (a:`SPIRIT`)-[r]-(b:`THE EVENT OF DEATH`) RETURN COUNT(r) > 0 AS edgeExists:result:True +2024-10-30 06:06:40,080 - lightrag - INFO - get_edge:query: + MATCH (source:`SPIRIT`)-[r]-(target:`THE EVENT OF DEATH`) + RETURN r + :result:, ) type='DIRECTED' properties={'keywords': '"emotional impact, mortality"', 'description': '"The Spirit highlights the emotional repercussions of The Event of Death, demonstrating the profound effects on those left behind."', 'weight': 8.0, 'source_id': 'chunk-83ac129dc9b56f84c46760d153d68e93'}> +2024-10-30 06:06:40,221 - lightrag - INFO - _check_edge_existence:query:MATCH (a:`SCROOGE`)-[r]-(b:`THE CRATCHIT HOUSE`) RETURN COUNT(r) > 0 AS edgeExists:result:True +2024-10-30 06:06:40,356 - lightrag - INFO - get_edge:query: + MATCH (source:`SCROOGE`)-[r]-(target:`THE CRATCHIT HOUSE`) + RETURN r + :result:, ) type='DIRECTED' properties={'keywords': '"compassion, familial connection"', 'description': '"Scrooge\'s reflections in The Cratchit House illustrate his evolving understanding of compassion and connection to others."', 'weight': 9.0, 'source_id': 'chunk-83ac129dc9b56f84c46760d153d68e93'}> +2024-10-30 06:06:40,496 - lightrag - INFO - _check_edge_existence:query:MATCH (a:`THE HUSBAND`)-[r]-(b:`THE MOTHER`) RETURN COUNT(r) > 0 AS edgeExists:result:True +2024-10-30 06:06:40,632 - lightrag - INFO - get_edge:query: + MATCH (source:`THE HUSBAND`)-[r]-(target:`THE MOTHER`) + RETURN r + :result:, ) type='DIRECTED' properties={'keywords': '"marital dynamics, emotional strain"', 'description': '"The Mother expresses anxiety and eagerness as she interacts with her husband, showcasing the emotional strain caused by uncertainty."', 'weight': 8.0, 'source_id': 'chunk-83ac129dc9b56f84c46760d153d68e93'}> +2024-10-30 06:06:40,773 - lightrag - INFO - _check_edge_existence:query:MATCH (a:`CAROLINE`)-[r]-(b:`THE HUSBAND`) RETURN COUNT(r) > 0 AS edgeExists:result:True +2024-10-30 06:06:40,909 - lightrag - INFO - get_edge:query: + MATCH (source:`CAROLINE`)-[r]-(target:`THE HUSBAND`) + RETURN r + :result:, ) type='DIRECTED' properties={'keywords': '"communication, emotional burden"', 'description': '"The Husband and Caroline\'s conversation illustrates the tension between optimism and the reality of their situation after receiving distressing news."', 'weight': 7.0, 'source_id': 'chunk-83ac129dc9b56f84c46760d153d68e93'}> +2024-10-30 06:06:41,048 - lightrag - INFO - _check_edge_existence:query:MATCH (a:`PETER`)-[r]-(b:`THE CHILDREN`) RETURN COUNT(r) > 0 AS edgeExists:result:True +2024-10-30 06:06:41,183 - lightrag - INFO - get_edge:query: + MATCH (source:`PETER`)-[r]-(target:`THE CHILDREN`) + RETURN r + :result:, ) type='DIRECTED' properties={'keywords': '"leadership, sibling dynamics"', 'description': '"Peter acts as a stabilizing force among The Children, leading them in moments of uncertainty and representing familial responsibility."', 'weight': 6.0, 'source_id': 'chunk-83ac129dc9b56f84c46760d153d68e93'}> +2024-10-30 06:06:41,324 - lightrag - INFO - _check_edge_existence:query:MATCH (a:`THE CRATCHIT HOUSE`)-[r]-(b:`THE DEBT`) RETURN COUNT(r) > 0 AS edgeExists:result:True +2024-10-30 06:06:41,463 - lightrag - INFO - get_edge:query: + MATCH (source:`THE CRATCHIT HOUSE`)-[r]-(target:`THE DEBT`) + RETURN r + :result:, ) type='DIRECTED' properties={'keywords': '"financial burden, atmosphere"', 'description': '"The Debt looms over The Cratchit House, contributing to the emotional atmosphere and fears of its inhabitants during the story."', 'weight': 9.0, 'source_id': 'chunk-83ac129dc9b56f84c46760d153d68e93'}> +2024-10-30 06:06:41,603 - lightrag - INFO - _check_edge_existence:query:MATCH (a:`CAROLINE`)-[r]-(b:`HOPE`) RETURN COUNT(r) > 0 AS edgeExists:result:True +2024-10-30 06:06:41,732 - lightrag - INFO - get_edge:query: + MATCH (source:`CAROLINE`)-[r]-(target:`HOPE`) + RETURN r + :result:, ) type='DIRECTED' properties={'keywords': '"emotional resilience, motivation"', 'description': '"Hope influences Caroline\'s reactions and actions throughout the story, serving as both a motivator and a source of inner conflict."', 'weight': 8.0, 'source_id': 'chunk-83ac129dc9b56f84c46760d153d68e93'}> +2024-10-30 06:06:41,873 - lightrag - INFO - _check_edge_existence:query:MATCH (a:`BOB CRATCHIT`)-[r]-(b:`MR. SCROOGE'S NEPHEW`) RETURN COUNT(r) > 0 AS edgeExists:result:True +2024-10-30 06:06:42,009 - lightrag - INFO - get_edge:query: + MATCH (source:`BOB CRATCHIT`)-[r]-(target:`MR. SCROOGE'S NEPHEW`) + RETURN r + :result:, ) type='DIRECTED' properties={'keywords': '"kindness, support"', 'description': '"Bob Cratchit shares a positive interaction with Mr. Scrooge\'s Nephew, who expresses kindness and concern for his family."', 'weight': 7.0, 'source_id': 'chunk-1d4b58de5429cd1261370c231c8673e8'}> +2024-10-30 06:06:42,145 - lightrag - INFO - _check_edge_existence:query:MATCH (a:`BOB CRATCHIT`)-[r]-(b:`PETER`) RETURN COUNT(r) > 0 AS edgeExists:result:True +2024-10-30 06:06:42,279 - lightrag - INFO - get_edge:query: + MATCH (source:`BOB CRATCHIT`)-[r]-(target:`PETER`) + RETURN r + :result:, ) type='DIRECTED' properties={'keywords': '"family discussions, support"', 'description': '"Peter interacts with Bob Cratchit, showing the dynamics of a supportive family unit while discussing aspirations."', 'weight': 6.0, 'source_id': 'chunk-1d4b58de5429cd1261370c231c8673e8'}> +2024-10-30 06:06:42,417 - lightrag - INFO - _check_edge_existence:query:MATCH (a:`CHRISTMAS`)-[r]-(b:`TINY TIM`) RETURN COUNT(r) > 0 AS edgeExists:result:True +2024-10-30 06:06:42,548 - lightrag - INFO - get_edge:query: + MATCH (source:`CHRISTMAS`)-[r]-(target:`TINY TIM`) + RETURN r + :result:, ) type='DIRECTED' properties={'keywords': '"innocence, holiday spirit"', 'description': '"Tiny Tim represents the spirit of Christmas, being cherished by family during this festive occasion."', 'weight': 9.0, 'source_id': 'chunk-1d4b58de5429cd1261370c231c8673e8'}> +2024-10-30 06:06:42,685 - lightrag - INFO - _check_edge_existence:query:MATCH (a:`SCROOGE`)-[r]-(b:`THE GHOST OF CHRISTMAS YET TO COME`) RETURN COUNT(r) > 0 AS edgeExists:result:True +2024-10-30 06:06:42,818 - lightrag - INFO - get_edge:query: + MATCH (source:`SCROOGE`)-[r]-(target:`THE GHOST OF CHRISTMAS YET TO COME`) + RETURN r + :result:, ) type='DIRECTED' properties={'keywords': '"consequences, change""guidance, self-confrontation"', 'description': '"The Ghost guides Scrooge to confront his potential future that threatens his existence.""The Ghost is critical in revealing the consequences of Scrooge\'s life choices, pushing for change."', 'weight': 19.0, 'source_id': 'chunk-91572b3cd42786ba4cb2f180ca25cbf4'}> +2024-10-30 06:06:42,957 - lightrag - INFO - _check_edge_existence:query:MATCH (a:`GRAVE`)-[r]-(b:`SCROOGE`) RETURN COUNT(r) > 0 AS edgeExists:result:True +2024-10-30 06:06:43,090 - lightrag - INFO - get_edge:query: + MATCH (source:`GRAVE`)-[r]-(target:`SCROOGE`) + RETURN r + :result:, ) type='DIRECTED' properties={'keywords': '"mortality, reflection"', 'description': '"Scrooge is confronted with his own grave, symbolizing the ultimate outcome of his current lifestyle and actions."', 'weight': 10.0, 'source_id': 'chunk-91572b3cd42786ba4cb2f180ca25cbf4'}> +2024-10-30 06:06:43,230 - lightrag - INFO - _check_edge_existence:query:MATCH (a:`CHRISTMAS DAY`)-[r]-(b:`SCROOGE`) RETURN COUNT(r) > 0 AS edgeExists:result:True +2024-10-30 06:06:43,364 - lightrag - INFO - get_edge:query: + MATCH (source:`CHRISTMAS DAY`)-[r]-(target:`SCROOGE`) + RETURN r + :result:, ) type='DIRECTED' properties={'keywords': '"seasonal significance, renewal"', 'description': '"Scrooge\'s change in attitude and actions occur on Christmas Day, making it a pivotal event in his story."', 'weight': 9.0, 'source_id': 'chunk-90b95db5c53e4364a6bee36b7aa4d70f'}> +2024-10-30 06:06:43,497 - lightrag - INFO - _check_edge_existence:query:MATCH (a:`BOB CRATCHIT`)-[r]-(b:`THE POULTERER'S`) RETURN COUNT(r) > 0 AS edgeExists:result:True +2024-10-30 06:06:43,629 - lightrag - INFO - get_edge:query: + MATCH (source:`BOB CRATCHIT`)-[r]-(target:`THE POULTERER'S`) + RETURN r + :result:, ) type='DIRECTED' properties={'keywords': '"commerce, generosity"', 'description': '"The Poulterer\'s shop is where Scrooge instructs the boy to buy a turkey for the Cratchit family, linking commerce to kindness."', 'weight': 6.0, 'source_id': 'chunk-90b95db5c53e4364a6bee36b7aa4d70f'}> +2024-10-30 06:06:43,769 - lightrag - INFO - _check_edge_existence:query:MATCH (a:`SCROOGE`)-[r]-(b:`THE GHOST OF CHRISTMAS PRESENT`) RETURN COUNT(r) > 0 AS edgeExists:result:True +2024-10-30 06:06:43,899 - lightrag - INFO - get_edge:query: + MATCH (source:`SCROOGE`)-[r]-(target:`THE GHOST OF CHRISTMAS PRESENT`) + RETURN r + :result:, ) type='DIRECTED' properties={'keywords': '"awareness, joy""supernatural guidance, social impact""transformation, guidance"', 'description': '"The Ghost of Christmas Present exposes Scrooge to the joy and generosity he has been missing.""The Ghost of Christmas Present observes Scrooge\'s transformation and emotional engagement with his memories of Christmas.""The Ghost of Christmas Present shows Scrooge the joy and importance of kindness during Christmas, impacting his perspective on social issues."', 'weight': 26.0, 'source_id': 'chunk-90b95db5c53e4364a6bee36b7aa4d70fchunk-43c9bee23adfa77aa9dedd22401bba7dchunk-b0f459f5af1c3a5e0b92cbe4ee48b77b'}> +2024-10-30 06:06:44,041 - lightrag - INFO - _check_edge_existence:query:MATCH (a:`SCROOGE`)-[r]-(b:`THE BOY`) RETURN COUNT(r) > 0 AS edgeExists:result:True +2024-10-30 06:06:44,172 - lightrag - INFO - get_edge:query: + MATCH (source:`SCROOGE`)-[r]-(target:`THE BOY`) + RETURN r + :result:, ) type='DIRECTED' properties={'keywords': '"generosity, kindness"', 'description': '"Scrooge interacts with The Boy to deliver the turkey, showing a newfound generosity and connection to others."', 'weight': 8.0, 'source_id': 'chunk-8f738cb25d60a7dab782162d9d0a25ed'}> +2024-10-30 06:06:44,309 - lightrag - INFO - _check_edge_existence:query:MATCH (a:`BOB CRATCHIT`)-[r]-(b:`THE CHRISTMAS DINNER`) RETURN COUNT(r) > 0 AS edgeExists:result:True +2024-10-30 06:06:44,440 - lightrag - INFO - get_edge:query: + MATCH (source:`BOB CRATCHIT`)-[r]-(target:`THE CHRISTMAS DINNER`) + RETURN r + :result:, ) type='DIRECTED' properties={'keywords': '"family, celebration"', 'description': '"The Christmas Dinner represents the Cratchit family\'s celebration, with Bob Cratchit at the center of this warm gathering."', 'weight': 8.0, 'source_id': 'chunk-90b95db5c53e4364a6bee36b7aa4d70f'}> +2024-10-30 06:06:44,584 - lightrag - INFO - _check_edge_existence:query:MATCH (a:`SCROOGE`)-[r]-(b:`THE OLD GENTLEMAN`) RETURN COUNT(r) > 0 AS edgeExists:result:True +2024-10-30 06:06:44,717 - lightrag - INFO - get_edge:query: + MATCH (source:`SCROOGE`)-[r]-(target:`THE OLD GENTLEMAN`) + RETURN r + :result:, ) type='DIRECTED' properties={'keywords': '"kindness, transformation"', 'description': '"Scrooge shows kindness and generosity to The Old Gentleman, marking a significant change in his character and relationships."', 'weight': 9.0, 'source_id': 'chunk-8f738cb25d60a7dab782162d9d0a25ed'}> +2024-10-30 06:06:44,873 - lightrag - INFO - _check_edge_existence:query:MATCH (a:`BOB CRATCHIT`)-[r]-(b:`THE FAMILY`) RETURN COUNT(r) > 0 AS edgeExists:result:True +2024-10-30 06:06:45,047 - lightrag - INFO - get_edge:query: + MATCH (source:`BOB CRATCHIT`)-[r]-(target:`THE FAMILY`) + RETURN r + :result:, ) type='DIRECTED' properties={'keywords': '"family, responsibility"', 'description': '"Bob Cratchit is a central figure in The Family, demonstrating love and responsibility towards his children during Christmas."', 'weight': 8.0, 'source_id': 'chunk-94bea83e7153fc2064aa382b494936a1'}> +2024-10-30 06:06:45,192 - lightrag - INFO - _check_edge_existence:query:MATCH (a:`BOB CRATCHIT`)-[r]-(b:`THE TANK`) RETURN COUNT(r) > 0 AS edgeExists:result:True +2024-10-30 06:06:45,327 - lightrag - INFO - get_edge:query: + MATCH (source:`BOB CRATCHIT`)-[r]-(target:`THE TANK`) + RETURN r + :result:, ) type='DIRECTED' properties={'keywords': '"workplace, struggle"', 'description': '"Bob\'s working conditions in The Tank under Scrooge reflect the challenges he faces as a struggling employee supporting his family."', 'weight': 7.0, 'source_id': 'chunk-94bea83e7153fc2064aa382b494936a1'}> +2024-10-30 06:06:45,469 - lightrag - INFO - _check_edge_existence:query:MATCH (a:`SCROOGE`)-[r]-(b:`SMOKING BISHOP`) RETURN COUNT(r) > 0 AS edgeExists:result:True +2024-10-30 06:06:45,598 - lightrag - INFO - get_edge:query: + MATCH (source:`SCROOGE`)-[r]-(target:`SMOKING BISHOP`) + RETURN r + :result:, ) type='DIRECTED' properties={'keywords': '"celebration, warmth"', 'description': '"Scrooge and Bob\'s plans to enjoy Smoking Bishop together symbolize the welcoming of joy and warmth during the Christmas season."', 'weight': 9.0, 'source_id': 'chunk-94bea83e7153fc2064aa382b494936a1'}> +2024-10-30 06:06:45,733 - lightrag - INFO - _check_edge_existence:query:MATCH (a:`PROJECT GUTENBERG`)-[r]-(b:`THE FOUNDATION`) RETURN COUNT(r) > 0 AS edgeExists:result:True +2024-10-30 06:06:45,867 - lightrag - INFO - get_edge:query: + MATCH (source:`PROJECT GUTENBERG`)-[r]-(target:`THE FOUNDATION`) + RETURN r + :result:, ) type='DIRECTED' properties={'keywords': '"organizational governance, copyright management"', 'description': '"Project Gutenberg is operated and managed by The Foundation, which governs its copyright and licensing aspects."', 'weight': 9.0, 'source_id': 'chunk-194cd9680f4967f48bea89678f7ece21'}> +2024-10-30 06:06:46,005 - lightrag - INFO - _check_edge_existence:query:MATCH (a:`GENERAL TERMS OF USE`)-[r]-(b:`PROJECT GUTENBERG`) RETURN COUNT(r) > 0 AS edgeExists:result:True +2024-10-30 06:06:46,140 - lightrag - INFO - get_edge:query: + MATCH (source:`GENERAL TERMS OF USE`)-[r]-(target:`PROJECT GUTENBERG`) + RETURN r + :result:, ) type='DIRECTED' properties={'keywords': '"regulatory framework, operational guidelines"', 'description': '"Project Gutenberg operates under specific General Terms of Use that govern the distribution and utilization of its electronic works."', 'weight': 7.0, 'source_id': 'chunk-194cd9680f4967f48bea89678f7ece21'}> +2024-10-30 06:06:46,280 - lightrag - INFO - _check_edge_existence:query:MATCH (a:`PROJECT GUTENBERG`)-[r]-(b:`TRANSCRIBER'S NOTE`) RETURN COUNT(r) > 0 AS edgeExists:result:True +2024-10-30 06:06:46,421 - lightrag - INFO - get_edge:query: + MATCH (source:`PROJECT GUTENBERG`)-[r]-(target:`TRANSCRIBER'S NOTE`) + RETURN r + :result:, ) type='DIRECTED' properties={'keywords': '"contextual enhancement, editorial contribution"', 'description': '"The transcriber\'s note provides additional context about the eBook created and distributed by Project Gutenberg."', 'weight': 6.0, 'source_id': 'chunk-194cd9680f4967f48bea89678f7ece21'}> +2024-10-30 06:06:46,559 - lightrag - INFO - _check_edge_existence:query:MATCH (a:`THE FOUNDATION`)-[r]-(b:`UNITED STATES COPYRIGHT`) RETURN COUNT(r) > 0 AS edgeExists:result:True +2024-10-30 06:06:46,695 - lightrag - INFO - get_edge:query: + MATCH (source:`THE FOUNDATION`)-[r]-(target:`UNITED STATES COPYRIGHT`) + RETURN r + :result:, ) type='DIRECTED' properties={'keywords': '"legal compliance, governance"', 'description': '"The Foundation operates within the framework of United States copyright laws, which govern its activities and permissions."', 'weight': 8.0, 'source_id': 'chunk-194cd9680f4967f48bea89678f7ece21'}> +2024-10-30 06:06:46,831 - lightrag - INFO - _check_edge_existence:query:MATCH (a:`ELECTRONIC WORKS`)-[r]-(b:`PROJECT GUTENBERG`) RETURN COUNT(r) > 0 AS edgeExists:result:True +2024-10-30 06:06:46,964 - lightrag - INFO - get_edge:query: + MATCH (source:`ELECTRONIC WORKS`)-[r]-(target:`PROJECT GUTENBERG`) + RETURN r + :result:, ) type='DIRECTED' properties={'keywords': '"digital access, literary promotion"', 'description': '"Project Gutenberg is dedicated to the distribution of electronic works, which are core to its mission."', 'weight': 10.0, 'source_id': 'chunk-194cd9680f4967f48bea89678f7ece21'}> +2024-10-30 06:06:47,103 - lightrag - INFO - _check_edge_existence:query:MATCH (a:`COPYRIGHT ROYALTIES`)-[r]-(b:`PROJECT GUTENBERG`) RETURN COUNT(r) > 0 AS edgeExists:result:True +2024-10-30 06:06:47,235 - lightrag - INFO - get_edge:query: + MATCH (source:`COPYRIGHT ROYALTIES`)-[r]-(target:`PROJECT GUTENBERG`) + RETURN r + :result:, ) type='DIRECTED' properties={'keywords': '"copyright policy, free access"', 'description': '"Project Gutenberg states that works not protected by U.S. copyright can be distributed without paying copyright royalties."', 'weight': 9.0, 'source_id': 'chunk-194cd9680f4967f48bea89678f7ece21'}> +2024-10-30 06:06:47,377 - lightrag - INFO - _check_edge_existence:query:MATCH (a:`GENERAL TERMS OF USE`)-[r]-(b:`TRADEMARK LICENSE`) RETURN COUNT(r) > 0 AS edgeExists:result:True +2024-10-30 06:06:47,515 - lightrag - INFO - get_edge:query: + MATCH (source:`GENERAL TERMS OF USE`)-[r]-(target:`TRADEMARK LICENSE`) + RETURN r + :result:, ) type='DIRECTED' properties={'keywords': '"operational policy, trademark protection"', 'description': '"The General Terms of Use outlines the conditions that must be adhered to regarding the use of the Project Gutenberg trademark."', 'weight': 7.0, 'source_id': 'chunk-194cd9680f4967f48bea89678f7ece21'}> +2024-10-30 06:06:47,649 - lightrag - INFO - _check_edge_existence:query:MATCH (a:`PROJECT GUTENBERG LITERARY ARCHIVE FOUNDATION`)-[r]-(b:`PROJECT GUTENBERG`) RETURN COUNT(r) > 0 AS edgeExists:result:True +2024-10-30 06:06:47,787 - lightrag - INFO - get_edge:query: + MATCH (source:`PROJECT GUTENBERG LITERARY ARCHIVE FOUNDATION`)-[r]-(target:`PROJECT GUTENBERG`) + RETURN r + :result:, ) type='DIRECTED' properties={'keywords': '"management, oversight"', 'description': '"The Project Gutenberg Literary Archive Foundation is responsible for managing the trademark of Project Gutenberg and ensuring compliance with its licensing terms."', 'weight': 8.0, 'source_id': 'chunk-af4ae173c561e4594c5aea96198cce9d'}> +2024-10-30 06:06:47,922 - lightrag - INFO - _check_edge_existence:query:MATCH (a:`PROJECT GUTENBERG`)-[r]-(b:`U.S. COPYRIGHT LAW`) RETURN COUNT(r) > 0 AS edgeExists:result:True +2024-10-30 06:06:48,062 - lightrag - INFO - get_edge:query: + MATCH (source:`PROJECT GUTENBERG`)-[r]-(target:`U.S. COPYRIGHT LAW`) + RETURN r + :result:, ) type='DIRECTED' properties={'keywords': '"legal compliance, copyright influence""legal compliance, operational limitations"', 'description': '"Project Gutenberg operates within the parameters of U.S. Copyright Law to ensure that its activities align with legal standards.""Project Gutenberg\'s operations are significantly influenced by U.S. Copyright Law, which dictates how works can be shared and accessed."', 'weight': 16.0, 'source_id': 'chunk-af4ae173c561e4594c5aea96198cce9dchunk-c51b3dc560b408cce12cdfe5c9c94f57'}> +2024-10-30 06:06:48,203 - lightrag - INFO - _check_edge_existence:query:MATCH (a:`EBOOK`)-[r]-(b:`PROJECT GUTENBERG`) RETURN COUNT(r) > 0 AS edgeExists:result:True +2024-10-30 06:06:48,337 - lightrag - INFO - get_edge:query: + MATCH (source:`EBOOK`)-[r]-(target:`PROJECT GUTENBERG`) + RETURN r + :result:, ) type='DIRECTED' properties={'keywords': '"digital library, access"', 'description': '"Project Gutenberg provides access to eBooks that follow specific terms of distribution as established in its license."', 'weight': 9.0, 'source_id': 'chunk-af4ae173c561e4594c5aea96198cce9d'}> +2024-10-30 06:06:48,479 - lightrag - INFO - _check_edge_existence:query:MATCH (a:`PROJECT GUTENBERG`)-[r]-(b:`UNITED STATES`) RETURN COUNT(r) > 0 AS edgeExists:result:True +2024-10-30 06:06:48,611 - lightrag - INFO - get_edge:query: + MATCH (source:`PROJECT GUTENBERG`)-[r]-(target:`UNITED STATES`) + RETURN r + :result:, ) type='DIRECTED' properties={'keywords': '"legal framework, copyright law"', 'description': '"Project Gutenberg operates within the legal framework of the United States, influencing its copyright policies and user access."', 'weight': 8.0, 'source_id': 'chunk-194cd9680f4967f48bea89678f7ece21'}> +2024-10-30 06:06:48,756 - lightrag - INFO - _check_edge_existence:query:MATCH (a:`PROJECT GUTENBERG LITERARY ARCHIVE FOUNDATION`)-[r]-(b:`ROYALTY PAYMENTS`) RETURN COUNT(r) > 0 AS edgeExists:result:True +2024-10-30 06:06:48,890 - lightrag - INFO - get_edge:query: + MATCH (source:`PROJECT GUTENBERG LITERARY ARCHIVE FOUNDATION`)-[r]-(target:`ROYALTY PAYMENTS`) + RETURN r + :result:, ) type='DIRECTED' properties={'keywords': '"financial management, trademark"', 'description': '"The Project Gutenberg Literary Archive Foundation oversees the management and collection of Royalty Payments for the use of their trademark."', 'weight': 7.0, 'source_id': 'chunk-af4ae173c561e4594c5aea96198cce9d'}> +2024-10-30 06:06:49,027 - lightrag - INFO - _check_edge_existence:query:MATCH (a:`COPYRIGHT HOLDER`)-[r]-(b:`PROJECT GUTENBERG`) RETURN COUNT(r) > 0 AS edgeExists:result:True +2024-10-30 06:06:49,164 - lightrag - INFO - get_edge:query: + MATCH (source:`COPYRIGHT HOLDER`)-[r]-(target:`PROJECT GUTENBERG`) + RETURN r + :result:, ) type='DIRECTED' properties={'keywords': '"permission, rights management"', 'description': '"Copyright Holders have the authority to grant permission for works posted on Project Gutenberg, influencing availability and distribution."', 'weight': 8.0, 'source_id': 'chunk-af4ae173c561e4594c5aea96198cce9d'}> +2024-10-30 06:06:49,303 - lightrag - INFO - _check_edge_existence:query:MATCH (a:`DISTRIBUTION TERMS`)-[r]-(b:`PARAGRAPHS 1.E.1 THROUGH 1.E.9`) RETURN COUNT(r) > 0 AS edgeExists:result:True +2024-10-30 06:06:49,438 - lightrag - INFO - get_edge:query: + MATCH (source:`DISTRIBUTION TERMS`)-[r]-(target:`PARAGRAPHS 1.E.1 THROUGH 1.E.9`) + RETURN r + :result:, ) type='DIRECTED' properties={'keywords': '"guidelines, usage conditions"', 'description': '"Paragraphs 1.E.1 through 1.E.9 specify the Distribution Terms that govern how Project Gutenberg\'s works can be used and shared."', 'weight': 9.0, 'source_id': 'chunk-af4ae173c561e4594c5aea96198cce9d'}> +2024-10-30 06:06:49,577 - lightrag - INFO - _check_edge_existence:query:MATCH (a:`PROJECT GUTENBERG`)-[r]-(b:`VOLUNTEERS`) RETURN COUNT(r) > 0 AS edgeExists:result:True +2024-10-30 06:06:49,707 - lightrag - INFO - get_edge:query: + MATCH (source:`PROJECT GUTENBERG`)-[r]-(target:`VOLUNTEERS`) + RETURN r + :result:, ) type='DIRECTED' properties={'keywords': '"volunteer contributions, organizational structure"', 'description': '"Volunteers are essential to the mission of Project Gutenberg, contributing significantly to the maintenance and distribution of the collection."', 'weight': 9.0, 'source_id': 'chunk-c51b3dc560b408cce12cdfe5c9c94f57'}> +2024-10-30 06:06:49,843 - lightrag - INFO - _check_edge_existence:query:MATCH (a:`MISSISSIPPI`)-[r]-(b:`PROJECT GUTENBERG LITERARY ARCHIVE FOUNDATION`) RETURN COUNT(r) > 0 AS edgeExists:result:True +2024-10-30 06:06:49,974 - lightrag - INFO - get_edge:query: + MATCH (source:`MISSISSIPPI`)-[r]-(target:`PROJECT GUTENBERG LITERARY ARCHIVE FOUNDATION`) + RETURN r + :result:, ) type='DIRECTED' properties={'keywords': '"legal framework, organizational base""legal identity, location"', 'description': '"The Foundation is organized under the laws of Mississippi, establishing its legal framework.""The Project Gutenberg Literary Archive Foundation is organized under the laws of Mississippi, linking its operations to the state."', 'weight': 13.0, 'source_id': 'chunk-c51b3dc560b408cce12cdfe5c9c94f57chunk-85f77f5e3a9aba01133555a2d20e2fd8'}> +2024-10-30 06:06:50,109 - lightrag - INFO - _check_edge_existence:query:MATCH (a:`PROJECT GUTENBERG LITERARY ARCHIVE FOUNDATION`)-[r]-(b:`SALT LAKE CITY`) RETURN COUNT(r) > 0 AS edgeExists:result:True +2024-10-30 06:06:50,245 - lightrag - INFO - get_edge:query: + MATCH (source:`PROJECT GUTENBERG LITERARY ARCHIVE FOUNDATION`)-[r]-(target:`SALT LAKE CITY`) + RETURN r + :result:, ) type='DIRECTED' properties={'keywords': '"operational base, location""organizational presence, location"', 'description': '"The Foundation has its business office in Salt Lake City, establishing a geographic link to its operations.""The Project Gutenberg Literary Archive Foundation has its business office located in Salt Lake City, establishing a physical presence there."', 'weight': 15.0, 'source_id': 'chunk-c51b3dc560b408cce12cdfe5c9c94f57chunk-85f77f5e3a9aba01133555a2d20e2fd8'}> +2024-10-30 06:06:50,387 - lightrag - INFO - _check_edge_existence:query:MATCH (a:`DEFECTS`)-[r]-(b:`PROJECT GUTENBERG`) RETURN COUNT(r) > 0 AS edgeExists:result:True +2024-10-30 06:06:50,524 - lightrag - INFO - get_edge:query: + MATCH (source:`DEFECTS`)-[r]-(target:`PROJECT GUTENBERG`) + RETURN r + :result:, ) type='DIRECTED' properties={'keywords': '"quality assurance, operational challenges"', 'description': '"The existence of Defects poses challenges to Project Gutenberg\'s integrity and reliability as it seeks to provide quality electronic works."', 'weight': 6.0, 'source_id': 'chunk-c51b3dc560b408cce12cdfe5c9c94f57'}> +2024-10-30 06:06:50,660 - lightrag - INFO - _check_edge_existence:query:MATCH (a:`LEGAL FEES`)-[r]-(b:`VOLUNTEERS`) RETURN COUNT(r) > 0 AS edgeExists:result:True +2024-10-30 06:06:50,793 - lightrag - INFO - get_edge:query: + MATCH (source:`LEGAL FEES`)-[r]-(target:`VOLUNTEERS`) + RETURN r + :result:, ) type='DIRECTED' properties={'keywords': '"legal implications, volunteer risks"', 'description': '"Volunteers may incur Legal Fees if involved in litigation regarding the distribution of Project Gutenberg works or related matters."', 'weight': 5.0, 'source_id': 'chunk-c51b3dc560b408cce12cdfe5c9c94f57'}> +2024-10-30 06:06:50,929 - lightrag - INFO - _check_edge_existence:query:MATCH (a:`CONTRIBUTIONS`)-[r]-(b:`PROJECT GUTENBERG LITERARY ARCHIVE FOUNDATION`) RETURN COUNT(r) > 0 AS edgeExists:result:True +2024-10-30 06:06:51,067 - lightrag - INFO - get_edge:query: + MATCH (source:`CONTRIBUTIONS`)-[r]-(target:`PROJECT GUTENBERG LITERARY ARCHIVE FOUNDATION`) + RETURN r + :result:, ) type='DIRECTED' properties={'keywords': '"funding, operational sustainability"', 'description': '"Contributions are essential for the operational viability of the Foundation, directly supporting its mission."', 'weight': 9.0, 'source_id': 'chunk-85f77f5e3a9aba01133555a2d20e2fd8'}> +2024-10-30 06:06:51,205 - lightrag - INFO - _check_edge_existence:query:MATCH (a:`PROJECT GUTENBERG LITERARY ARCHIVE FOUNDATION`)-[r]-(b:`U.S. INTERNAL REVENUE SERVICE`) RETURN COUNT(r) > 0 AS edgeExists:result:True +2024-10-30 06:06:51,338 - lightrag - INFO - get_edge:query: + MATCH (source:`PROJECT GUTENBERG LITERARY ARCHIVE FOUNDATION`)-[r]-(target:`U.S. INTERNAL REVENUE SERVICE`) + RETURN r + :result:, ) type='DIRECTED' properties={'keywords': '"financial oversight, tax compliance"', 'description': '"The Foundation\'s tax-exempt status is granted by the U.S. Internal Revenue Service, which oversees its financial compliance."', 'weight': 10.0, 'source_id': 'chunk-85f77f5e3a9aba01133555a2d20e2fd8'}> +2024-10-30 06:06:51,485 - lightrag - INFO - _check_edge_existence:query:MATCH (a:`MICHAEL S. HART`)-[r]-(b:`PROJECT GUTENBERG LITERARY ARCHIVE FOUNDATION`) RETURN COUNT(r) > 0 AS edgeExists:result:True +2024-10-30 06:06:51,624 - lightrag - INFO - get_edge:query: + MATCH (source:`MICHAEL S. HART`)-[r]-(target:`PROJECT GUTENBERG LITERARY ARCHIVE FOUNDATION`) + RETURN r + :result:, ) type='DIRECTED' properties={'keywords': '"founder, mission creation"', 'description': '"Michael S. Hart is the originator of the Project Gutenberg concept, instrumental in establishing its mission and operations."', 'weight': 9.0, 'source_id': 'chunk-85f77f5e3a9aba01133555a2d20e2fd8'}> +2024-10-30 06:06:51,765 - lightrag - INFO - _check_edge_existence:query:MATCH (a:`DONATIONS`)-[r]-(b:`PROJECT GUTENBERG LITERARY ARCHIVE FOUNDATION`) RETURN COUNT(r) > 0 AS edgeExists:result:True +2024-10-30 06:06:51,902 - lightrag - INFO - get_edge:query: + MATCH (source:`DONATIONS`)-[r]-(target:`PROJECT GUTENBERG LITERARY ARCHIVE FOUNDATION`) + RETURN r + :result:, ) type='DIRECTED' properties={'keywords': '"financial support, project funding"', 'description': '"Donations are critical financial support for the Foundation, enabling its initiatives and projects."', 'weight': 9.0, 'source_id': 'chunk-85f77f5e3a9aba01133555a2d20e2fd8'}> +2024-10-30 06:06:52,044 - lightrag - INFO - _check_edge_existence:query:MATCH (a:`MICHAEL S. HART`)-[r]-(b:`PROJECT GUTENBERG EBOOKS`) RETURN COUNT(r) > 0 AS edgeExists:result:True +2024-10-30 06:06:52,178 - lightrag - INFO - get_edge:query: + MATCH (source:`MICHAEL S. HART`)-[r]-(target:`PROJECT GUTENBERG EBOOKS`) + RETURN r + :result:, ) type='DIRECTED' properties={'keywords': '"content creation, legacy"', 'description': '"Michael S. Hart has been instrumental in the production and distribution of Project Gutenberg eBooks over forty years."', 'weight': 8.0, 'source_id': 'chunk-85f77f5e3a9aba01133555a2d20e2fd8'}> +2024-10-30 06:06:52,317 - lightrag - INFO - _check_edge_existence:query:MATCH (a:`501(C)(3)`)-[r]-(b:`PROJECT GUTENBERG LITERARY ARCHIVE FOUNDATION`) RETURN COUNT(r) > 0 AS edgeExists:result:True +2024-10-30 06:06:52,454 - lightrag - INFO - get_edge:query: + MATCH (source:`501(C)(3)`)-[r]-(target:`PROJECT GUTENBERG LITERARY ARCHIVE FOUNDATION`) + RETURN r + :result:, ) type='DIRECTED' properties={'keywords': '"tax status, charitable organization"', 'description': '"The Project Gutenberg Literary Archive Foundation operates under the 501(c)(3) tax-exempt status, allowing it to receive tax-deductible donations."', 'weight': 9.0, 'source_id': 'chunk-85f77f5e3a9aba01133555a2d20e2fd8'}> +2024-10-30 06:06:52,595 - lightrag - INFO - _check_edge_existence:query:MATCH (a:`EIN 64-6221541`)-[r]-(b:`PROJECT GUTENBERG LITERARY ARCHIVE FOUNDATION`) RETURN COUNT(r) > 0 AS edgeExists:result:True +2024-10-30 06:06:52,729 - lightrag - INFO - get_edge:query: + MATCH (source:`EIN 64-6221541`)-[r]-(target:`PROJECT GUTENBERG LITERARY ARCHIVE FOUNDATION`) + RETURN r + :result:, ) type='DIRECTED' properties={'keywords': '"tax identification, compliance"', 'description': '"The EIN serves as the foundation\'s identification for tax purposes, linking it to federal tax compliance."', 'weight': 8.0, 'source_id': 'chunk-85f77f5e3a9aba01133555a2d20e2fd8'}> +2024-10-30 06:06:52,869 - lightrag - INFO - _check_edge_existence:query:MATCH (a:`PROJECT GUTENBERG LITERARY ARCHIVE FOUNDATION`)-[r]-(b:`U.S. FEDERAL LAWS`) RETURN COUNT(r) > 0 AS edgeExists:result:True +2024-10-30 06:06:53,007 - lightrag - INFO - get_edge:query: + MATCH (source:`PROJECT GUTENBERG LITERARY ARCHIVE FOUNDATION`)-[r]-(target:`U.S. FEDERAL LAWS`) + RETURN r + :result:, ) type='DIRECTED' properties={'keywords': '"legal compliance, federal regulations"', 'description': '"The Foundation must comply with U.S. federal laws regarding charitable donations and tax-exempt status."', 'weight': 9.0, 'source_id': 'chunk-85f77f5e3a9aba01133555a2d20e2fd8'}> +2024-10-30 06:06:53,149 - lightrag - INFO - _check_edge_existence:query:MATCH (a:`PROJECT GUTENBERG LITERARY ARCHIVE FOUNDATION`)-[r]-(b:`WEBSITE`) RETURN COUNT(r) > 0 AS edgeExists:result:True +2024-10-30 06:06:53,288 - lightrag - INFO - get_edge:query: + MATCH (source:`PROJECT GUTENBERG LITERARY ARCHIVE FOUNDATION`)-[r]-(target:`WEBSITE`) + RETURN r + :result:, ) type='DIRECTED' properties={'keywords': '"information dissemination, online presence"', 'description': '"The Foundation uses its website to facilitate donations and disseminate information about its services and eBooks."', 'weight': 8.0, 'source_id': 'chunk-85f77f5e3a9aba01133555a2d20e2fd8'}> +2024-10-30 06:06:53,429 - lightrag - INFO - _check_edge_existence:query:MATCH (a:`PROJECT GUTENBERG LITERARY ARCHIVE FOUNDATION`)-[r]-(b:`PUBLIC DOMAIN`) RETURN COUNT(r) > 0 AS edgeExists:result:True +2024-10-30 06:06:53,563 - lightrag - INFO - get_edge:query: + MATCH (source:`PROJECT GUTENBERG LITERARY ARCHIVE FOUNDATION`)-[r]-(target:`PUBLIC DOMAIN`) + RETURN r + :result:, ) type='DIRECTED' properties={'keywords': '"accessibility, distribution"', 'description': '"The Foundation\'s mission is focused on distributing works that are in the Public Domain, enhancing accessibility for the public."', 'weight': 9.0, 'source_id': 'chunk-85f77f5e3a9aba01133555a2d20e2fd8'}> +2024-10-30 06:44:06,799 - lightrag - INFO - Logger initialized for working directory: ./neo4jWorkDir +2024-10-30 06:44:06,799 - lightrag - DEBUG - LightRAG init with param: working_dir = ./neo4jWorkDir, chunk_token_size = 1200, chunk_overlap_token_size = 100, @@ -8116,10 +15245,10 @@ entity_summary_to_max_tokens = 500, node_embedding_algorithm = node2vec, node2vec_params = {'dimensions': 1536, 'num_walks': 10, 'walk_length': 40, 'window_size': 2, 'iterations': 3, 'random_seed': 3}, - embedding_func = {'embedding_dim': 1536, 'max_token_size': 8192, 'func': }, + embedding_func = {'embedding_dim': 1536, 'max_token_size': 8192, 'func': }, embedding_batch_num = 32, embedding_func_max_async = 16, - llm_model_func = , + llm_model_func = , llm_model_name = meta-llama/Llama-3.2-1B-Instruct, llm_model_max_token_size = 32768, llm_model_max_async = 16, @@ -8129,2074 +15258,12582 @@ graph_storage_cls = , enable_llm_cache = True, addon_params = {}, - convert_response_to_json_func = + convert_response_to_json_func = -2024-10-29 15:28:45,612 - lightrag - INFO - Load KV full_docs with 1 data -2024-10-29 15:28:45,613 - lightrag - INFO - Load KV text_chunks with 42 data -2024-10-29 15:28:45,613 - lightrag - INFO - Load KV llm_response_cache with 88 data -2024-10-29 15:28:45,634 - lightrag - INFO - Creating a new event loop in a sub-thread. -2024-10-29 15:28:45,635 - lightrag - WARNING - All docs are already in the storage -2024-10-29 15:28:45,667 - lightrag - INFO - Creating a new event loop in a sub-thread. -2024-10-29 15:28:46,531 - lightrag - INFO - Truncate 39 to 3 chunks -2024-10-29 15:28:46,541 - lightrag - INFO - Creating a new event loop in a sub-thread. -2024-10-29 15:28:47,392 - lightrag - INFO - get_node:query:MATCH (n:`EMOTION`) RETURN n:result: -2024-10-29 15:28:47,486 - lightrag - INFO - get_node:query:MATCH (n:`DARKNESS`) RETURN n:result: -2024-10-29 15:28:47,580 - lightrag - INFO - get_node:query:MATCH (n:`THE PHANTOM`) RETURN n:result: -2024-10-29 15:28:47,674 - lightrag - INFO - get_node:query:MATCH (n:`THE COSMIC SIGNIFICANCE`) RETURN n:result: -2024-10-29 15:28:47,768 - lightrag - INFO - get_node:query:MATCH (n:`CHRISTMAS HOLIDAYS`) RETURN n:result: -2024-10-29 15:28:47,860 - lightrag - INFO - get_node:query:MATCH (n:`PONDEROUS CHAIN`) RETURN n:result: -2024-10-29 15:28:47,953 - lightrag - INFO - get_node:query:MATCH (n:`HUMANITY`) RETURN n:result: -2024-10-29 15:28:48,042 - lightrag - INFO - get_node:query:MATCH (n:`CHRISTMAS`) RETURN n:result:"Christmas is a festive occasion that has led to a joyful transformation in Scrooge\'s character and actions.""Christmas is a festive time celebrated by the Cratchit family, symbolizing joy, family togetherness, and generosity.""Christmas is a significant holiday that serves as the backdrop for Scrooge\'s transformation and the events that unfold during the narrative.""Christmas is a significant holiday that triggers Scrooge\'s memories and reflections on joy, loneliness, and his past.""Christmas is central to the text, symbolizing generosity, charity, and warmth that Scrooge rejects.""Christmas is depicted as a festive season when charity and social duty are emphasized, contrasting with Scrooge\'s values.""Christmas is depicted as a time associated with joy and abundance, contrasting with Scrooge\'s initial views.""Christmas is depicted as a time of joy and communal spirit, marked by people\'s activities and interactions in the streets.""Christmas is depicted as a time of joy and generosity, contrasting sharply with Scrooge\'s past behavior and current solitude.""Christmas is portrayed as a festive time that Scrooge dismisses, emphasizing the contrast between joy and his miserable attitude.""Christmas is portrayed as a time of joy, reflection, and connection, emphasizing the positive impact of the holiday spirit on individuals and communities.""Christmas is presented as a time for merriment and social gatherings, which Scrooge\'s nephew advocates for despite his uncle\'s opposition.""Christmas is the central holiday during which the events unfold, leading to significant character transformations and themes of generosity.""Christmas is the season during which festive activities and celebrations are occurring, including dances and gatherings.""Christmas represents a time of reflection and change for Scrooge, emphasizing themes of redemption.""Christmas serves as a thematic backdrop for the story, symbolizing redemption, generosity, and the spirit of giving."', 'source_id': 'chunk-91614df5cb74cbe5e109a338a82041e9chunk-503f0bfa5453467c7c61d160a3540ecachunk-773d0df1dd25c356f7b771d780583e09chunk-8f738cb25d60a7dab782162d9d0a25edchunk-e7637ff18c5ded77a68cce0a87883fadchunk-8590d9263cd2cd4fa583c432fc54e6c3chunk-54bdd22db1f84a965b5f4c06c9216d8dchunk-02baee20cc9463dbe08170a8e1043e32chunk-90d5764e301321c087f5a8f78b73a145chunk-91572b3cd42786ba4cb2f180ca25cbf4chunk-1d4b58de5429cd1261370c231c8673e8chunk-da2472b4ef2a535b62908f14d0fb0ca9chunk-94bea83e7153fc2064aa382b494936a1chunk-89777b838d5447c7bd1ec11282c4ee89chunk-99b0ec7f7e006561352b5d65e849611dchunk-74e2466de2f67fd710ef2f20c0a8d9e0chunk-5dac41b3f9eeaf794f0147400b1718cd'}> -2024-10-29 15:28:48,134 - lightrag - INFO - get_node:query:MATCH (n:`DEATH`) RETURN n:result:"Death is described as a powerful force in the narrative, represented through the imagery of a cold, rigid presence and the contemplation of mortality.""Death refers to the passing of a character that triggers a range of emotions and reflections among the living, influencing their lives and relationships."', 'source_id': 'chunk-e1f29eeadc1d8ab46dc8a0bbd3c56b64chunk-83ac129dc9b56f84c46760d153d68e93chunk-02baee20cc9463dbe08170a8e1043e32'}> -2024-10-29 15:28:48,229 - lightrag - INFO - get_node:query:MATCH (n:`SCROOGE`) RETURN n:result:chunk-b2f98bc7abb0c67d4c86055c7fd72218chunk-91614df5cb74cbe5e109a338a82041e9chunk-8f738cb25d60a7dab782162d9d0a25edchunk-e7637ff18c5ded77a68cce0a87883fadchunk-d9aac3484185ac66045df92214d245d5chunk-90b95db5c53e4364a6bee36b7aa4d70fchunk-89777b838d5447c7bd1ec11282c4ee89chunk-c6c248858d1b13ab7ee9ca13c1aeed6bchunk-5dac41b3f9eeaf794f0147400b1718cdchunk-773d0df1dd25c356f7b771d780583e09chunk-843b5b2f944c7413d9ca876e2e2f151fchunk-f1a4fbcf1ed86864b9bfd5e8dba4c683chunk-359187e7571bda4b0b08b2e0b6581e52chunk-503f0bfa5453467c7c61d160a3540ecachunk-9c43dac2fcd5b578242d907ea6f8fc7bchunk-b0f459f5af1c3a5e0b92cbe4ee48b77bchunk-1aa50206d02ed89418f65f97c6441d1cchunk-54bdd22db1f84a965b5f4c06c9216d8dchunk-cb661c37436355ccec2769b1d0350c5fchunk-90d5764e301321c087f5a8f78b73a145chunk-91572b3cd42786ba4cb2f180ca25cbf4chunk-da2472b4ef2a535b62908f14d0fb0ca9chunk-99b0ec7f7e006561352b5d65e849611dchunk-43c9bee23adfa77aa9dedd22401bba7dchunk-83ac129dc9b56f84c46760d153d68e93chunk-e1f29eeadc1d8ab46dc8a0bbd3c56b64chunk-8590d9263cd2cd4fa583c432fc54e6c3chunk-02baee20cc9463dbe08170a8e1043e32chunk-94bea83e7153fc2064aa382b494936a1chunk-74e2466de2f67fd710ef2f20c0a8d9e0chunk-19d72c57ae3408758b18d2568e86dc6b'}> -2024-10-29 15:28:48,321 - lightrag - INFO - get_node:query:MATCH (n:`RUSTY KEYS, NAILS, CHAINS, HINGES`) RETURN n:result: -2024-10-29 15:28:48,415 - lightrag - INFO - get_node:query:MATCH (n:`THE PENANCE`) RETURN n:result: -2024-10-29 15:28:48,508 - lightrag - INFO - get_node:query:MATCH (n:`MAN`) RETURN n:result: -2024-10-29 15:28:48,598 - lightrag - INFO - get_node:query:MATCH (n:`THE SCHOOLMASTER`) RETURN n:result: -2024-10-29 15:28:48,691 - lightrag - INFO - get_node:query:MATCH (n:`THE GRAVE`) RETURN n:result: -2024-10-29 15:28:48,785 - lightrag - INFO - get_node:query:MATCH (n:`KEYHOLE`) RETURN n:result: -2024-10-29 15:28:48,881 - lightrag - INFO - get_node:query:MATCH (n:`SCHOOL`) RETURN n:result: -2024-10-29 15:28:48,973 - lightrag - INFO - get_node:query:MATCH (n:`THE CHAIN`) RETURN n:result:"The Chain symbolizes the burdens of the past that haunt the spirits, showcasing the consequences of one\'s actions in life."', 'source_id': 'chunk-359187e7571bda4b0b08b2e0b6581e52chunk-cb661c37436355ccec2769b1d0350c5f'}> -2024-10-29 15:28:49,065 - lightrag - INFO - get_node:query:MATCH (n:`THE THREE SPIRITS`) RETURN n:result: -2024-10-29 15:28:49,162 - lightrag - INFO - get_node:query:MATCH (n:`THE COLD`) RETURN n:result: -2024-10-29 15:28:49,252 - lightrag - INFO - get_node:query:MATCH (n:`DEEDS`) RETURN n:result: -2024-10-29 15:28:49,345 - lightrag - INFO - get_node:query:MATCH (n:`THE BLESSED STAR`) RETURN n:result: -2024-10-29 15:28:49,437 - lightrag - INFO - get_node:query:MATCH (n:`THE CANDLE`) RETURN n:result: -2024-10-29 15:28:49,528 - lightrag - INFO - get_node:query:MATCH (n:`FROST`) RETURN n:result: -2024-10-29 15:28:49,618 - lightrag - INFO - get_node:query:MATCH (n:`THE TRANSPARENT WINDOW`) RETURN n:result: -2024-10-29 15:28:49,708 - lightrag - INFO - get_node:query:MATCH (n:`THE CANDLE-LIGHT`) RETURN n:result: -2024-10-29 15:28:49,797 - lightrag - INFO - get_node:query:MATCH (n:`POVERTY`) RETURN n:result: -2024-10-29 15:28:49,898 - lightrag - INFO - get_node:query:MATCH (n:`SUNDAY CLOTHES BOY`) RETURN n:result: -2024-10-29 15:28:49,988 - lightrag - INFO - get_node:query:MATCH (n:`THE SOLITARY CHILD`) RETURN n:result: -2024-10-29 15:28:50,074 - lightrag - INFO - get_node:query:MATCH (n:`CITY`) RETURN n:result:"The City represents the urban setting where Scrooge witnesses the indifference of its inhabitants regarding his death.""The City represents the urban setting where Scrooge\'s transformation takes place, symbolizing the broader society impacted by his changes."', 'source_id': 'chunk-843b5b2f944c7413d9ca876e2e2f151fchunk-94bea83e7153fc2064aa382b494936a1chunk-02baee20cc9463dbe08170a8e1043e32'}> -2024-10-29 15:28:50,175 - lightrag - INFO - get_node:query:MATCH (n:`FEARFUL PLACE`) RETURN n:result: -2024-10-29 15:28:50,269 - lightrag - INFO - get_node:query:MATCH (n:`IRON CABLE`) RETURN n:result: -2024-10-29 15:28:50,364 - lightrag - INFO - get_node:query:MATCH (n:`SPIRIT`) RETURN n:result:"The Spirit embodies the lessons of compassion and social responsibility, guiding Scrooge through his reflections and realizations.""The Spirit is the manifestation of Scrooge\'s past that guides him through his memories, representing his former self and the influence of time.""The Spirit represents a ghostly entity, guiding Scrooge through visions of potential future events and urging him to acknowledge societal issues.""The Spirit represents a supernatural entity guiding Scrooge through his reflections on life, death, and human emotions, prompting self-awareness.""The Spirit represents the embodiment of the Christmas present, personifying the themes of generosity and merriment."', 'source_id': 'chunk-bb21d58d36c6306fd8810ddd51c4a971chunk-83ac129dc9b56f84c46760d153d68e93chunk-e7637ff18c5ded77a68cce0a87883fadchunk-843b5b2f944c7413d9ca876e2e2f151fchunk-1aa50206d02ed89418f65f97c6441d1cchunk-02baee20cc9463dbe08170a8e1043e32'}> -2024-10-29 15:28:50,464 - lightrag - INFO - get_node:query:MATCH (n:`THE SETTING SUN`) RETURN n:result: -2024-10-29 15:28:50,557 - lightrag - INFO - get_node:query:MATCH (n:`KEYS`) RETURN n:result: -2024-10-29 15:28:50,649 - lightrag - INFO - get_node:query:MATCH (n:`THE CLOTHES AND ITEMS`) RETURN n:result: -2024-10-29 15:28:50,739 - lightrag - INFO - get_node:query:MATCH (n:`AVARICE`) RETURN n:result: -2024-10-29 15:28:50,831 - lightrag - INFO - get_node:query:MATCH (n:`THE FIREPLACE`) RETURN n:result: -2024-10-29 15:28:50,927 - lightrag - INFO - get_node:query:MATCH (n:`WANT`) RETURN n:result: -2024-10-29 15:28:51,015 - lightrag - INFO - get_node:query:MATCH (n:`THE DAUGHTER`) RETURN n:result: -2024-10-29 15:28:51,108 - lightrag - INFO - get_node:query:MATCH (n:`CHRISTMAS-TIME`) RETURN n:result:"Christmas-time represents the festive season, a recurring theme that evokes memories and emotions in Scrooge’s reflections.""Christmas-time serves as a backdrop for the narrative, emphasizing themes of reflection, mortality, and social interactions."', 'source_id': 'chunk-f1a4fbcf1ed86864b9bfd5e8dba4c683chunk-c6c248858d1b13ab7ee9ca13c1aeed6bchunk-5dac41b3f9eeaf794f0147400b1718cd'}> -2024-10-29 15:28:51,223 - lightrag - INFO - get_node:query:MATCH (n:`THE BED`) RETURN n:result: -2024-10-29 15:28:51,317 - lightrag - INFO - get_node:query:MATCH (n:`SHADOW OF HIMSELF`) RETURN n:result: -2024-10-29 15:28:51,412 - lightrag - INFO - get_node:query:MATCH (n:`KIND WORD`) RETURN n:result: -2024-10-29 15:28:51,507 - lightrag - INFO - get_node:query:MATCH (n:`GAOL`) RETURN n:result: -2024-10-29 15:28:51,600 - lightrag - INFO - get_node:query:MATCH (n:`IGNORANCE`) RETURN n:result:"Ignorance is personified as a boy that symbolizes the dangers of ignoring social issues and the consequences of a lack of awareness."', 'source_id': 'chunk-02baee20cc9463dbe08170a8e1043e32chunk-e7637ff18c5ded77a68cce0a87883fad'}> -2024-10-29 15:28:51,695 - lightrag - INFO - get_node:query:MATCH (n:`CHILDREN`) RETURN n:result:"The Children represent the joyful, carefree aspects of Scrooge\'s past, embodying happiness and the innocence of youth that he has long forgotten."', 'source_id': 'chunk-bb21d58d36c6306fd8810ddd51c4a971chunk-e7637ff18c5ded77a68cce0a87883fad'}> -2024-10-29 15:28:51,788 - lightrag - INFO - get_node:query:MATCH (n:`THE ROOM BY DAYLIGHT`) RETURN n:result: -2024-10-29 15:28:51,884 - lightrag - INFO - get_node:query:MATCH (n:`THE BOTTLE`) RETURN n:result: -2024-10-29 15:28:51,978 - lightrag - INFO - get_node:query:MATCH (n:`THE FLANNEL BAG`) RETURN n:result: -2024-10-29 15:28:52,068 - lightrag - INFO - get_node:query:MATCH (n:`THE YOUNG GIRL`) RETURN n:result: -2024-10-29 15:28:52,158 - lightrag - INFO - get_node:query:MATCH (n:`A CHRISTMAS CAROL`) RETURN n:result: -2024-10-29 15:28:52,249 - lightrag - INFO - get_node:query:MATCH (n:`THE CITY`) RETURN n:result:"The City represents the bustling urban environment where Scrooge reflects on his past, filled with activity and shadowy figures.""The City, from which Scrooge is transported, represents his past life and is contrasted with the open country road that signifies his memories."', 'source_id': 'chunk-bb21d58d36c6306fd8810ddd51c4a971chunk-c6c248858d1b13ab7ee9ca13c1aeed6bchunk-74e2466de2f67fd710ef2f20c0a8d9e0'}> -2024-10-29 15:28:52,338 - lightrag - INFO - get_node:query:MATCH (n:`GHOST`) RETURN n:result:"The Ghost refers to the spirit guiding Scrooge, embodying the themes of memory and reflection on the joys of Christmas.""The Ghost represents a spiritual guide that takes Scrooge on a journey to learn important lessons about compassion and humanity.""The Ghost serves as a supernatural guide for Scrooge, prompting him to reflect on his life and choices."', 'source_id': 'chunk-503f0bfa5453467c7c61d160a3540ecachunk-c6c248858d1b13ab7ee9ca13c1aeed6bchunk-e7637ff18c5ded77a68cce0a87883fadchunk-43c9bee23adfa77aa9dedd22401bba7d'}> -2024-10-29 15:28:52,429 - lightrag - INFO - get_node:query:MATCH (n:`MERCILESS CREDITOR`) RETURN n:result: -2024-10-29 15:28:52,521 - lightrag - INFO - get_node:query:MATCH (n:`THE SPIRITS`) RETURN n:result:"The Spirits represent the past, present, and future in Scrooge\'s life, guiding him toward redemption and self-reflection."', 'source_id': 'chunk-90b95db5c53e4364a6bee36b7aa4d70fchunk-cb661c37436355ccec2769b1d0350c5f'}> -2024-10-29 15:28:52,615 - lightrag - INFO - get_node:query:MATCH (n:`THE MOTHER`) RETURN n:result:"The Mother is a character associated with the family dynamics during the Christmas scene, though her actions are not explicitly detailed.""The Mother is depicted as a comely matron, who enjoys the laughter and chaos with her children, showing warmth and family value."', 'source_id': 'chunk-da2472b4ef2a535b62908f14d0fb0ca9chunk-83ac129dc9b56f84c46760d153d68e93chunk-54bdd22db1f84a965b5f4c06c9216d8d'}> -2024-10-29 15:28:52,705 - lightrag - INFO - get_node:query:MATCH (n:`LIGHT`) RETURN n:result: -2024-10-29 15:28:52,798 - lightrag - INFO - get_node:query:MATCH (n:`TWO YOUNG CRATCHITS`) RETURN n:result: -2024-10-29 15:28:52,893 - lightrag - INFO - get_node:query:MATCH (n:`JOE`) RETURN n:result:"Joe is a marine-store dealer depicted as receiving stolen goods, illustrating the consequences of crime and the darker sides of society.""Joe is portrayed as a character engaged in a conversation about the deceased, displaying a mix of humor and practicality in dealing with the possessions of the dead."', 'source_id': 'chunk-89777b838d5447c7bd1ec11282c4ee89chunk-9e3921da66da5d761ab73cd849af6c43chunk-e1f29eeadc1d8ab46dc8a0bbd3c56b64'}> -2024-10-29 15:28:53,043 - lightrag - INFO - _find_node_degree:query: - MATCH (n:`EMOTION`) - RETURN COUNT{ (n)--() } AS totalEdgeCount - :result:0 -2024-10-29 15:28:53,218 - lightrag - INFO - _find_node_degree:query: - MATCH (n:`DARKNESS`) - RETURN COUNT{ (n)--() } AS totalEdgeCount - :result:1 -2024-10-29 15:28:53,387 - lightrag - INFO - _find_node_degree:query: - MATCH (n:`THE PHANTOM`) - RETURN COUNT{ (n)--() } AS totalEdgeCount - :result:2 -2024-10-29 15:28:53,560 - lightrag - INFO - _find_node_degree:query: - MATCH (n:`THE COSMIC SIGNIFICANCE`) - RETURN COUNT{ (n)--() } AS totalEdgeCount - :result:0 -2024-10-29 15:28:53,742 - lightrag - INFO - _find_node_degree:query: - MATCH (n:`CHRISTMAS HOLIDAYS`) - RETURN COUNT{ (n)--() } AS totalEdgeCount - :result:0 -2024-10-29 15:28:53,922 - lightrag - INFO - _find_node_degree:query: - MATCH (n:`PONDEROUS CHAIN`) - RETURN COUNT{ (n)--() } AS totalEdgeCount - :result:0 -2024-10-29 15:28:54,097 - lightrag - INFO - _find_node_degree:query: - MATCH (n:`HUMANITY`) - RETURN COUNT{ (n)--() } AS totalEdgeCount - :result:1 -2024-10-29 15:28:54,269 - lightrag - INFO - _find_node_degree:query: - MATCH (n:`CHRISTMAS`) - RETURN COUNT{ (n)--() } AS totalEdgeCount - :result:18 -2024-10-29 15:28:54,446 - lightrag - INFO - _find_node_degree:query: - MATCH (n:`DEATH`) - RETURN COUNT{ (n)--() } AS totalEdgeCount - :result:3 -2024-10-29 15:28:54,623 - lightrag - INFO - _find_node_degree:query: - MATCH (n:`SCROOGE`) - RETURN COUNT{ (n)--() } AS totalEdgeCount - :result:100 -2024-10-29 15:28:54,805 - lightrag - INFO - _find_node_degree:query: - MATCH (n:`RUSTY KEYS, NAILS, CHAINS, HINGES`) - RETURN COUNT{ (n)--() } AS totalEdgeCount - :result:1 -2024-10-29 15:28:54,983 - lightrag - INFO - _find_node_degree:query: - MATCH (n:`THE PENANCE`) - RETURN COUNT{ (n)--() } AS totalEdgeCount - :result:0 -2024-10-29 15:28:55,159 - lightrag - INFO - _find_node_degree:query: - MATCH (n:`MAN`) - RETURN COUNT{ (n)--() } AS totalEdgeCount - :result:1 -2024-10-29 15:28:55,337 - lightrag - INFO - _find_node_degree:query: - MATCH (n:`THE SCHOOLMASTER`) - RETURN COUNT{ (n)--() } AS totalEdgeCount - :result:1 -2024-10-29 15:28:55,510 - lightrag - INFO - _find_node_degree:query: - MATCH (n:`THE GRAVE`) - RETURN COUNT{ (n)--() } AS totalEdgeCount - :result:1 -2024-10-29 15:28:55,679 - lightrag - INFO - _find_node_degree:query: - MATCH (n:`KEYHOLE`) - RETURN COUNT{ (n)--() } AS totalEdgeCount - :result:0 -2024-10-29 15:28:55,851 - lightrag - INFO - _find_node_degree:query: - MATCH (n:`SCHOOL`) - RETURN COUNT{ (n)--() } AS totalEdgeCount - :result:2 -2024-10-29 15:28:56,025 - lightrag - INFO - _find_node_degree:query: - MATCH (n:`THE CHAIN`) - RETURN COUNT{ (n)--() } AS totalEdgeCount - :result:0 -2024-10-29 15:28:56,197 - lightrag - INFO - _find_node_degree:query: - MATCH (n:`THE THREE SPIRITS`) - RETURN COUNT{ (n)--() } AS totalEdgeCount - :result:1 -2024-10-29 15:28:56,372 - lightrag - INFO - _find_node_degree:query: - MATCH (n:`THE COLD`) - RETURN COUNT{ (n)--() } AS totalEdgeCount - :result:1 -2024-10-29 15:28:56,547 - lightrag - INFO - _find_node_degree:query: - MATCH (n:`DEEDS`) - RETURN COUNT{ (n)--() } AS totalEdgeCount - :result:0 -2024-10-29 15:28:56,729 - lightrag - INFO - _find_node_degree:query: - MATCH (n:`THE BLESSED STAR`) - RETURN COUNT{ (n)--() } AS totalEdgeCount - :result:0 -2024-10-29 15:28:56,910 - lightrag - INFO - _find_node_degree:query: - MATCH (n:`THE CANDLE`) - RETURN COUNT{ (n)--() } AS totalEdgeCount - :result:1 -2024-10-29 15:28:57,083 - lightrag - INFO - _find_node_degree:query: - MATCH (n:`FROST`) - RETURN COUNT{ (n)--() } AS totalEdgeCount - :result:1 -2024-10-29 15:28:57,255 - lightrag - INFO - _find_node_degree:query: - MATCH (n:`THE TRANSPARENT WINDOW`) - RETURN COUNT{ (n)--() } AS totalEdgeCount - :result:0 -2024-10-29 15:28:57,426 - lightrag - INFO - _find_node_degree:query: - MATCH (n:`THE CANDLE-LIGHT`) - RETURN COUNT{ (n)--() } AS totalEdgeCount - :result:0 -2024-10-29 15:28:57,600 - lightrag - INFO - _find_node_degree:query: - MATCH (n:`POVERTY`) - RETURN COUNT{ (n)--() } AS totalEdgeCount - :result:1 -2024-10-29 15:28:57,773 - lightrag - INFO - _find_node_degree:query: - MATCH (n:`SUNDAY CLOTHES BOY`) - RETURN COUNT{ (n)--() } AS totalEdgeCount - :result:1 -2024-10-29 15:28:57,950 - lightrag - INFO - _find_node_degree:query: - MATCH (n:`THE SOLITARY CHILD`) - RETURN COUNT{ (n)--() } AS totalEdgeCount - :result:0 -2024-10-29 15:28:58,121 - lightrag - INFO - _find_node_degree:query: - MATCH (n:`CITY`) - RETURN COUNT{ (n)--() } AS totalEdgeCount - :result:1 -2024-10-29 15:28:58,305 - lightrag - INFO - _find_node_degree:query: - MATCH (n:`FEARFUL PLACE`) - RETURN COUNT{ (n)--() } AS totalEdgeCount - :result:0 -2024-10-29 15:28:58,507 - lightrag - INFO - _find_node_degree:query: - MATCH (n:`IRON CABLE`) - RETURN COUNT{ (n)--() } AS totalEdgeCount - :result:0 -2024-10-29 15:28:58,677 - lightrag - INFO - _find_node_degree:query: - MATCH (n:`SPIRIT`) - RETURN COUNT{ (n)--() } AS totalEdgeCount - :result:9 -2024-10-29 15:28:58,850 - lightrag - INFO - _find_node_degree:query: - MATCH (n:`THE SETTING SUN`) - RETURN COUNT{ (n)--() } AS totalEdgeCount - :result:1 -2024-10-29 15:28:59,027 - lightrag - INFO - _find_node_degree:query: - MATCH (n:`KEYS`) - RETURN COUNT{ (n)--() } AS totalEdgeCount - :result:0 -2024-10-29 15:28:59,200 - lightrag - INFO - _find_node_degree:query: - MATCH (n:`THE CLOTHES AND ITEMS`) - RETURN COUNT{ (n)--() } AS totalEdgeCount - :result:0 -2024-10-29 15:28:59,373 - lightrag - INFO - _find_node_degree:query: - MATCH (n:`AVARICE`) - RETURN COUNT{ (n)--() } AS totalEdgeCount - :result:0 -2024-10-29 15:28:59,543 - lightrag - INFO - _find_node_degree:query: - MATCH (n:`THE FIREPLACE`) - RETURN COUNT{ (n)--() } AS totalEdgeCount - :result:0 -2024-10-29 15:28:59,720 - lightrag - INFO - _find_node_degree:query: - MATCH (n:`WANT`) - RETURN COUNT{ (n)--() } AS totalEdgeCount - :result:1 -2024-10-29 15:28:59,927 - lightrag - INFO - _find_node_degree:query: - MATCH (n:`THE DAUGHTER`) - RETURN COUNT{ (n)--() } AS totalEdgeCount - :result:1 -2024-10-29 15:29:00,107 - lightrag - INFO - _find_node_degree:query: - MATCH (n:`CHRISTMAS-TIME`) - RETURN COUNT{ (n)--() } AS totalEdgeCount - :result:2 -2024-10-29 15:29:00,279 - lightrag - INFO - _find_node_degree:query: - MATCH (n:`THE BED`) - RETURN COUNT{ (n)--() } AS totalEdgeCount - :result:1 -2024-10-29 15:29:00,450 - lightrag - INFO - _find_node_degree:query: - MATCH (n:`SHADOW OF HIMSELF`) - RETURN COUNT{ (n)--() } AS totalEdgeCount - :result:1 -2024-10-29 15:29:00,623 - lightrag - INFO - _find_node_degree:query: - MATCH (n:`KIND WORD`) - RETURN COUNT{ (n)--() } AS totalEdgeCount - :result:0 -2024-10-29 15:29:00,795 - lightrag - INFO - _find_node_degree:query: - MATCH (n:`GAOL`) - RETURN COUNT{ (n)--() } AS totalEdgeCount - :result:1 -2024-10-29 15:29:00,972 - lightrag - INFO - _find_node_degree:query: - MATCH (n:`IGNORANCE`) - RETURN COUNT{ (n)--() } AS totalEdgeCount - :result:3 -2024-10-29 15:29:01,146 - lightrag - INFO - _find_node_degree:query: - MATCH (n:`CHILDREN`) - RETURN COUNT{ (n)--() } AS totalEdgeCount - :result:2 -2024-10-29 15:29:01,318 - lightrag - INFO - _find_node_degree:query: - MATCH (n:`THE ROOM BY DAYLIGHT`) - RETURN COUNT{ (n)--() } AS totalEdgeCount - :result:0 -2024-10-29 15:29:01,492 - lightrag - INFO - _find_node_degree:query: - MATCH (n:`THE BOTTLE`) - RETURN COUNT{ (n)--() } AS totalEdgeCount - :result:0 -2024-10-29 15:29:01,668 - lightrag - INFO - _find_node_degree:query: - MATCH (n:`THE FLANNEL BAG`) - RETURN COUNT{ (n)--() } AS totalEdgeCount - :result:0 -2024-10-29 15:29:01,844 - lightrag - INFO - _find_node_degree:query: - MATCH (n:`THE YOUNG GIRL`) - RETURN COUNT{ (n)--() } AS totalEdgeCount - :result:1 -2024-10-29 15:29:02,019 - lightrag - INFO - _find_node_degree:query: - MATCH (n:`A CHRISTMAS CAROL`) - RETURN COUNT{ (n)--() } AS totalEdgeCount - :result:3 -2024-10-29 15:29:02,189 - lightrag - INFO - _find_node_degree:query: - MATCH (n:`THE CITY`) - RETURN COUNT{ (n)--() } AS totalEdgeCount - :result:3 -2024-10-29 15:29:02,363 - lightrag - INFO - _find_node_degree:query: - MATCH (n:`GHOST`) - RETURN COUNT{ (n)--() } AS totalEdgeCount - :result:3 -2024-10-29 15:29:02,541 - lightrag - INFO - _find_node_degree:query: - MATCH (n:`MERCILESS CREDITOR`) - RETURN COUNT{ (n)--() } AS totalEdgeCount - :result:0 -2024-10-29 15:29:02,713 - lightrag - INFO - _find_node_degree:query: - MATCH (n:`THE SPIRITS`) - RETURN COUNT{ (n)--() } AS totalEdgeCount - :result:1 -2024-10-29 15:29:02,888 - lightrag - INFO - _find_node_degree:query: - MATCH (n:`THE MOTHER`) - RETURN COUNT{ (n)--() } AS totalEdgeCount - :result:2 -2024-10-29 15:29:03,061 - lightrag - INFO - _find_node_degree:query: - MATCH (n:`LIGHT`) - RETURN COUNT{ (n)--() } AS totalEdgeCount - :result:1 -2024-10-29 15:29:03,236 - lightrag - INFO - _find_node_degree:query: - MATCH (n:`TWO YOUNG CRATCHITS`) - RETURN COUNT{ (n)--() } AS totalEdgeCount - :result:0 -2024-10-29 15:29:03,404 - lightrag - INFO - _find_node_degree:query: - MATCH (n:`JOE`) - RETURN COUNT{ (n)--() } AS totalEdgeCount - :result:2 -2024-10-29 15:29:14,261 - lightrag - INFO - get_node:query:MATCH (n:`PORTLY GENTLEMEN`) RETURN n:result: -2024-10-29 15:29:14,358 - lightrag - INFO - get_node:query:MATCH (n:`THE GHOST OF CHRISTMAS YET TO COME`) RETURN n:result: -2024-10-29 15:29:14,447 - lightrag - INFO - get_node:query:MATCH (n:`THE GIRL`) RETURN n:result:"The Girl is referenced in relation to The Boy, highlighting the dynamics of the young attendees at the Fezziwig\'s celebrations."', 'source_id': 'chunk-8f738cb25d60a7dab782162d9d0a25edchunk-8bc1edd983869352d14cf0886a9175a7'}> -2024-10-29 15:29:14,539 - lightrag - INFO - get_node:query:MATCH (n:`THE OBSCURE PART OF TOWN`) RETURN n:result: -2024-10-29 15:29:14,632 - lightrag - INFO - get_node:query:MATCH (n:`THE PRESENT`) RETURN n:result: -2024-10-29 15:29:14,724 - lightrag - INFO - get_node:query:MATCH (n:`FEZZIWIG`) RETURN n:result:"Fezziwig is a figure representing a cheerful and jovial employer who organizes lively Christmas festivities for his employees.""Fezziwig is a jovial figure from Scrooge\'s past, known for his kind-heartedness and as a former employer who embodies the spirit of Christmas.""Fezziwig is depicted as a joyful character who dances with his wife and embodies the spirit of Christmas."', 'source_id': 'chunk-b2f98bc7abb0c67d4c86055c7fd72218chunk-89777b838d5447c7bd1ec11282c4ee89chunk-c6c248858d1b13ab7ee9ca13c1aeed6bchunk-8bc1edd983869352d14cf0886a9175a7'}> -2024-10-29 15:29:14,817 - lightrag - INFO - get_node:query:MATCH (n:`THE MANSION HOUSE`) RETURN n:result: -2024-10-29 15:29:14,906 - lightrag - INFO - get_node:query:MATCH (n:`SPANISH ONIONS`) RETURN n:result: -2024-10-29 15:29:14,996 - lightrag - INFO - get_node:query:MATCH (n:`GREAT BRITAIN`) RETURN n:result: -2024-10-29 15:29:15,090 - lightrag - INFO - get_node:query:MATCH (n:`BOB CRATCHIT`) RETURN n:result:"Bob Cratchit is Scrooge\'s clerk, who demonstrates a sense of hope and joy, particularly highlighted during Christmas Eve.""Bob Cratchit is Scrooge\'s employee who arrives late to work after celebrating Christmas, displaying a sense of trepidation toward Scrooge.""Bob Cratchit is a character associated with Scrooge, representing the family Scrooge intends to support by sending a turkey.""Bob Cratchit is a character who appears to be the voice of moderation and kindness, attempting to maintain positivity during the family Christmas feast despite Scrooge\'s presence.""Bob Cratchit is depicted as a struggling father, representative of familial love and concern, particularly for his children, including Tiny Tim.""Bob Cratchit is the dedicated clerk of Ebenezer Scrooge, representing the struggles of the working class and the importance of family in A Christmas Carol.""Bob Cratchit is the father of Tiny Tim and the head of the Cratchit family, who expresses joy and gratitude during Christmas dinner.""Bob Cratchit is the father of Tiny Tim, characterized by his kindness and emotional depth, especially in relation to his family\'s struggles.""Bob Cratchit is the father of the Cratchit family, characterized by his warmth and dedication to his family, particularly in caring for Tiny Tim."', 'source_id': 'chunk-83ac129dc9b56f84c46760d153d68e93chunk-503f0bfa5453467c7c61d160a3540ecachunk-90b95db5c53e4364a6bee36b7aa4d70fchunk-b0f459f5af1c3a5e0b92cbe4ee48b77bchunk-1d4b58de5429cd1261370c231c8673e8chunk-d9aac3484185ac66045df92214d245d5chunk-94bea83e7153fc2064aa382b494936a1chunk-7e2e7ebcc19a53b399dc03aded4743e7chunk-9e3921da66da5d761ab73cd849af6c43chunk-19d72c57ae3408758b18d2568e86dc6b'}> -2024-10-29 15:29:15,180 - lightrag - INFO - get_node:query:MATCH (n:`THE PEOPLE`) RETURN n:result: -2024-10-29 15:29:15,269 - lightrag - INFO - get_node:query:MATCH (n:`APPLES`) RETURN n:result: -2024-10-29 15:29:15,359 - lightrag - INFO - get_node:query:MATCH (n:`DICK`) RETURN n:result: -2024-10-29 15:29:15,449 - lightrag - INFO - get_node:query:MATCH (n:`ALMSHOUSE`) RETURN n:result: -2024-10-29 15:29:15,539 - lightrag - INFO - get_node:query:MATCH (n:`SCROOGE`) RETURN n:result:chunk-b2f98bc7abb0c67d4c86055c7fd72218chunk-91614df5cb74cbe5e109a338a82041e9chunk-8f738cb25d60a7dab782162d9d0a25edchunk-e7637ff18c5ded77a68cce0a87883fadchunk-d9aac3484185ac66045df92214d245d5chunk-90b95db5c53e4364a6bee36b7aa4d70fchunk-89777b838d5447c7bd1ec11282c4ee89chunk-c6c248858d1b13ab7ee9ca13c1aeed6bchunk-5dac41b3f9eeaf794f0147400b1718cdchunk-773d0df1dd25c356f7b771d780583e09chunk-843b5b2f944c7413d9ca876e2e2f151fchunk-f1a4fbcf1ed86864b9bfd5e8dba4c683chunk-359187e7571bda4b0b08b2e0b6581e52chunk-503f0bfa5453467c7c61d160a3540ecachunk-9c43dac2fcd5b578242d907ea6f8fc7bchunk-b0f459f5af1c3a5e0b92cbe4ee48b77bchunk-1aa50206d02ed89418f65f97c6441d1cchunk-54bdd22db1f84a965b5f4c06c9216d8dchunk-cb661c37436355ccec2769b1d0350c5fchunk-90d5764e301321c087f5a8f78b73a145chunk-91572b3cd42786ba4cb2f180ca25cbf4chunk-da2472b4ef2a535b62908f14d0fb0ca9chunk-99b0ec7f7e006561352b5d65e849611dchunk-43c9bee23adfa77aa9dedd22401bba7dchunk-83ac129dc9b56f84c46760d153d68e93chunk-e1f29eeadc1d8ab46dc8a0bbd3c56b64chunk-8590d9263cd2cd4fa583c432fc54e6c3chunk-02baee20cc9463dbe08170a8e1043e32chunk-94bea83e7153fc2064aa382b494936a1chunk-74e2466de2f67fd710ef2f20c0a8d9e0chunk-19d72c57ae3408758b18d2568e86dc6b'}> -2024-10-29 15:29:15,631 - lightrag - INFO - get_node:query:MATCH (n:`MASTER SCROOGE`) RETURN n:result: -2024-10-29 15:29:15,715 - lightrag - INFO - get_node:query:MATCH (n:`FOG`) RETURN n:result:"Fog is a weather phenomenon that adds to the bleak atmosphere, reflecting the obscurity and confusion in Scrooge\'s life."', 'source_id': 'chunk-d9aac3484185ac66045df92214d245d5chunk-74e2466de2f67fd710ef2f20c0a8d9e0'}> -2024-10-29 15:29:15,803 - lightrag - INFO - get_node:query:MATCH (n:`MARKET-TOWN`) RETURN n:result: -2024-10-29 15:29:15,894 - lightrag - INFO - get_node:query:MATCH (n:`CAMDEN TOWN`) RETURN n:result:"Camden Town is a location where Bob Cratchit runs home to celebrate Christmas Eve, representing a more joyful and lively setting."', 'source_id': 'chunk-d9aac3484185ac66045df92214d245d5chunk-8f738cb25d60a7dab782162d9d0a25ed'}> -2024-10-29 15:29:15,983 - lightrag - INFO - get_node:query:MATCH (n:`THE GRATE`) RETURN n:result: -2024-10-29 15:29:16,082 - lightrag - INFO - get_node:query:MATCH (n:`THE THREE SPIRITS`) RETURN n:result: -2024-10-29 15:29:16,178 - lightrag - INFO - get_node:query:MATCH (n:`CHRISTMAS-TIME`) RETURN n:result:"Christmas-time represents the festive season, a recurring theme that evokes memories and emotions in Scrooge’s reflections.""Christmas-time serves as a backdrop for the narrative, emphasizing themes of reflection, mortality, and social interactions."', 'source_id': 'chunk-f1a4fbcf1ed86864b9bfd5e8dba4c683chunk-c6c248858d1b13ab7ee9ca13c1aeed6bchunk-5dac41b3f9eeaf794f0147400b1718cd'}> -2024-10-29 15:29:16,269 - lightrag - INFO - get_node:query:MATCH (n:`THE MAIN STREET`) RETURN n:result: -2024-10-29 15:29:16,361 - lightrag - INFO - get_node:query:MATCH (n:`THE GRAVE`) RETURN n:result: -2024-10-29 15:29:16,450 - lightrag - INFO - get_node:query:MATCH (n:`GHOST OF CHRISTMAS PAST`) RETURN n:result:"The Ghost of Christmas Past is a supernatural entity that aids Scrooge in reflecting on his past experiences and emotions."', 'source_id': 'chunk-bb21d58d36c6306fd8810ddd51c4a971chunk-9e3921da66da5d761ab73cd849af6c43'}> -2024-10-29 15:29:16,537 - lightrag - INFO - get_node:query:MATCH (n:`THE DRESSING-GOWN`) RETURN n:result: -2024-10-29 15:29:16,623 - lightrag - INFO - get_node:query:MATCH (n:`THE MOTHER`) RETURN n:result:"The Mother is a character associated with the family dynamics during the Christmas scene, though her actions are not explicitly detailed.""The Mother is depicted as a comely matron, who enjoys the laughter and chaos with her children, showing warmth and family value."', 'source_id': 'chunk-da2472b4ef2a535b62908f14d0fb0ca9chunk-83ac129dc9b56f84c46760d153d68e93chunk-54bdd22db1f84a965b5f4c06c9216d8d'}> -2024-10-29 15:29:16,713 - lightrag - INFO - get_node:query:MATCH (n:`FROST`) RETURN n:result: -2024-10-29 15:29:16,802 - lightrag - INFO - get_node:query:MATCH (n:`SPIRIT`) RETURN n:result:"The Spirit embodies the lessons of compassion and social responsibility, guiding Scrooge through his reflections and realizations.""The Spirit is the manifestation of Scrooge\'s past that guides him through his memories, representing his former self and the influence of time.""The Spirit represents a ghostly entity, guiding Scrooge through visions of potential future events and urging him to acknowledge societal issues.""The Spirit represents a supernatural entity guiding Scrooge through his reflections on life, death, and human emotions, prompting self-awareness.""The Spirit represents the embodiment of the Christmas present, personifying the themes of generosity and merriment."', 'source_id': 'chunk-bb21d58d36c6306fd8810ddd51c4a971chunk-83ac129dc9b56f84c46760d153d68e93chunk-e7637ff18c5ded77a68cce0a87883fadchunk-843b5b2f944c7413d9ca876e2e2f151fchunk-1aa50206d02ed89418f65f97c6441d1cchunk-02baee20cc9463dbe08170a8e1043e32'}> -2024-10-29 15:29:16,891 - lightrag - INFO - get_node:query:MATCH (n:`THE GHOST OF JACOB MARLEY`) RETURN n:result: -2024-10-29 15:29:16,983 - lightrag - INFO - get_node:query:MATCH (n:`MRS. CRATCHIT`) RETURN n:result:"Mrs. Cratchit is Bob Cratchit\'s supportive wife, who strives to provide for her family despite their financial struggles and embodies resilience.""Mrs. Cratchit is Bob\'s wife who prepares the Christmas pudding, showcasing her pride and care in family traditions.""Mrs. Cratchit is Bob\'s wife, a supportive mother who manages the household while showing concern for her children\'s well-being.""Mrs. Cratchit is Bob\'s wife, portrayed as making an effort to prepare a festive atmosphere despite their financial struggles.""Mrs. Cratchit is a character who shows affection towards Bob, enhancing the family dynamic.""Mrs. Cratchit is the mother in the family who prepares the meal and shows warmth and attentiveness towards her family members during their Christmas celebration."', 'source_id': 'chunk-503f0bfa5453467c7c61d160a3540ecachunk-b0f459f5af1c3a5e0b92cbe4ee48b77bchunk-91572b3cd42786ba4cb2f180ca25cbf4chunk-1d4b58de5429cd1261370c231c8673e8chunk-7e2e7ebcc19a53b399dc03aded4743e7chunk-9e3921da66da5d761ab73cd849af6c43chunk-19d72c57ae3408758b18d2568e86dc6b'}> -2024-10-29 15:29:17,073 - lightrag - INFO - get_node:query:MATCH (n:`PROJECT GUTENBERG`) RETURN n:result:"Project Gutenberg is a digital library providing free access to a wide range of eBooks, primarily in the United States and other regions, under specific licensing terms.""Project Gutenberg is an organization dedicated to the free distribution of electronic works and the preservation of the cultural heritage by providing access to public domain literature."', 'source_id': 'chunk-194cd9680f4967f48bea89678f7ece21chunk-af4ae173c561e4594c5aea96198cce9dchunk-9e3921da66da5d761ab73cd849af6c43'}> -2024-10-29 15:29:17,162 - lightrag - INFO - get_node:query:MATCH (n:`THE BED`) RETURN n:result: -2024-10-29 15:29:17,250 - lightrag - INFO - get_node:query:MATCH (n:`THE DECEASED`) RETURN n:result: -2024-10-29 15:29:17,339 - lightrag - INFO - get_node:query:MATCH (n:`HUMANITY`) RETURN n:result: -2024-10-29 15:29:17,429 - lightrag - INFO - get_node:query:MATCH (n:`CLERK`) RETURN n:result: -2024-10-29 15:29:17,522 - lightrag - INFO - get_node:query:MATCH (n:`BELLE`) RETURN n:result: -2024-10-29 15:29:17,609 - lightrag - INFO - get_node:query:MATCH (n:`THE SPIRIT`) RETURN n:result:"The Spirit is the entity that guides Scrooge through memories, prompting reflections on his past during the Christmas season.""The Spirit refers to an embodiment of the Christmas message that represents moral guidance and introspection in Scrooge\'s life.""The Spirit refers to the Ghost of Christmas Present, a supernatural figure that guides Scrooge through lessons about generosity and community.""The Spirit refers to the supernatural essence of the Ghost of Christmas Past, embodying the idea of reflection and memory.""The Spirit refers to the supernatural influences that visit Scrooge, particularly the second of the Three Spirits.""The Spirit represents the essence of Christmas cheer and generosity, influencing the atmosphere and morale during the feast.""The Spirit represents the supernatural presence urging Scrooge to reflect deeply on the consequences of his life choices, particularly in relation to Death."', 'source_id': 'chunk-b2f98bc7abb0c67d4c86055c7fd72218chunk-e1f29eeadc1d8ab46dc8a0bbd3c56b64chunk-b0f459f5af1c3a5e0b92cbe4ee48b77bchunk-8590d9263cd2cd4fa583c432fc54e6c3chunk-91572b3cd42786ba4cb2f180ca25cbf4chunk-da2472b4ef2a535b62908f14d0fb0ca9chunk-91614df5cb74cbe5e109a338a82041e9chunk-19d72c57ae3408758b18d2568e86dc6b'}> -2024-10-29 15:29:17,698 - lightrag - INFO - get_node:query:MATCH (n:`THE LOW-BROWED SHOP`) RETURN n:result: -2024-10-29 15:29:17,784 - lightrag - INFO - get_node:query:MATCH (n:`THE KNOCKER`) RETURN n:result:"The Knocker is an ornate door knocker that Scrooge admires, reflecting his newfound appreciation for simple joys.""The Knocker on the door serves as a symbolic gateway to the supernatural events, being the first point of eerie interaction for Scrooge."', 'source_id': 'chunk-d9aac3484185ac66045df92214d245d5chunk-8f738cb25d60a7dab782162d9d0a25edchunk-9c43dac2fcd5b578242d907ea6f8fc7b'}> -2024-10-29 15:29:17,872 - lightrag - INFO - get_node:query:MATCH (n:`THE SPIRITS`) RETURN n:result:"The Spirits represent the past, present, and future in Scrooge\'s life, guiding him toward redemption and self-reflection."', 'source_id': 'chunk-90b95db5c53e4364a6bee36b7aa4d70fchunk-cb661c37436355ccec2769b1d0350c5f'}> -2024-10-29 15:29:17,965 - lightrag - INFO - get_node:query:MATCH (n:`SCROOGE'S NEPHEW`) RETURN n:result:"Scrooge\'s Nephew is characterized by his contagious laughter and good humor, contrasting with his uncle\'s miserliness.""Scrooge\'s Nephew is portrayed as optimistic about Christmas, emphasizing its positive qualities despite Scrooge\'s negativity.""Scrooge\'s nephew is a character present at the gathering who actively participates in the games and engages with his family."', 'source_id': 'chunk-43c9bee23adfa77aa9dedd22401bba7dchunk-773d0df1dd25c356f7b771d780583e09chunk-74e2466de2f67fd710ef2f20c0a8d9e0chunk-5dac41b3f9eeaf794f0147400b1718cd'}> -2024-10-29 15:29:18,053 - lightrag - INFO - get_node:query:MATCH (n:`THE CLOCK`) RETURN n:result:"The Clock is mentioned as malfunctioning, which symbolizes the confusion and distortion of time that Scrooge experiences during his nighttime visitations."', 'source_id': 'chunk-c7b10789a9cb0af6c553730b29bd9034chunk-cb661c37436355ccec2769b1d0350c5f'}> -2024-10-29 15:29:18,144 - lightrag - INFO - get_node:query:MATCH (n:`LONDON`) RETURN n:result:"London serves as the setting where the events take place, adding a cultural backdrop to the Christmas gathering."', 'source_id': 'chunk-d9aac3484185ac66045df92214d245d5chunk-43c9bee23adfa77aa9dedd22401bba7d'}> -2024-10-29 15:29:18,238 - lightrag - INFO - get_node:query:MATCH (n:`GEESE`) RETURN n:result:"Geese are included in the festive feast, representing the bounty and celebration associated with Christmas."', 'source_id': 'chunk-843b5b2f944c7413d9ca876e2e2f151fchunk-99b0ec7f7e006561352b5d65e849611d'}> -2024-10-29 15:29:18,327 - lightrag - INFO - get_node:query:MATCH (n:`CHESTNUTS`) RETURN n:result: -2024-10-29 15:29:18,420 - lightrag - INFO - get_node:query:MATCH (n:`SUNDAY CLOTHES BOY`) RETURN n:result: -2024-10-29 15:29:18,518 - lightrag - INFO - get_node:query:MATCH (n:`THE CHURCH`) RETURN n:result: -2024-10-29 15:29:18,609 - lightrag - INFO - get_node:query:MATCH (n:`DICK WILKINS`) RETURN n:result:"Dick Wilkins is Scrooge\'s fellow apprentice and close companion during his younger years, indicating camaraderie during their apprenticeship."', 'source_id': 'chunk-c6c248858d1b13ab7ee9ca13c1aeed6bchunk-8bc1edd983869352d14cf0886a9175a7'}> -2024-10-29 15:29:18,696 - lightrag - INFO - get_node:query:MATCH (n:`GHOST`) RETURN n:result:"The Ghost refers to the spirit guiding Scrooge, embodying the themes of memory and reflection on the joys of Christmas.""The Ghost represents a spiritual guide that takes Scrooge on a journey to learn important lessons about compassion and humanity.""The Ghost serves as a supernatural guide for Scrooge, prompting him to reflect on his life and choices."', 'source_id': 'chunk-503f0bfa5453467c7c61d160a3540ecachunk-c6c248858d1b13ab7ee9ca13c1aeed6bchunk-e7637ff18c5ded77a68cce0a87883fadchunk-43c9bee23adfa77aa9dedd22401bba7d'}> -2024-10-29 15:29:18,783 - lightrag - INFO - get_node:query:MATCH (n:`THE CLERK`) RETURN n:result:"The Clerk is an employee of Scrooge, who quietly awaits the end of the workday and represents the working class.""The Clerk works in Scrooge\'s counting-house, depicted as miserable and diminished under Scrooge\'s strict management."', 'source_id': 'chunk-90d5764e301321c087f5a8f78b73a145chunk-74e2466de2f67fd710ef2f20c0a8d9e0chunk-5dac41b3f9eeaf794f0147400b1718cd'}> -2024-10-29 15:29:18,870 - lightrag - INFO - get_node:query:MATCH (n:`SCHOOL`) RETURN n:result: -2024-10-29 15:29:18,961 - lightrag - INFO - get_node:query:MATCH (n:`THE FUNERAL`) RETURN n:result: -2024-10-29 15:29:19,050 - lightrag - INFO - get_node:query:MATCH (n:`MANKIND`) RETURN n:result: -2024-10-29 15:29:19,138 - lightrag - INFO - get_node:query:MATCH (n:`GHOST OF CHRISTMAS YET TO COME`) RETURN n:result:"The Ghost of Christmas Yet to Come is an event within the story that signifies Scrooge\'s confrontation with the future consequences of his actions."', 'source_id': 'chunk-9e3921da66da5d761ab73cd849af6c43chunk-02baee20cc9463dbe08170a8e1043e32'}> -2024-10-29 15:29:19,233 - lightrag - INFO - get_node:query:MATCH (n:`THE POULTERER'S`) RETURN n:result: -2024-10-29 15:29:19,324 - lightrag - INFO - get_node:query:MATCH (n:`SCROOGE'S NIECE`) RETURN n:result:"Scrooge\'s niece is depicted as a joyful participant in the evening\'s festivities, engaging in games and music."', 'source_id': 'chunk-773d0df1dd25c356f7b771d780583e09chunk-43c9bee23adfa77aa9dedd22401bba7d'}> -2024-10-29 15:29:19,415 - lightrag - INFO - get_node:query:MATCH (n:`TINY TIM`) RETURN n:result:"Tiny Tim is a member of the Cratchit family, who represents the innocence and impact of Scrooge\'s generosity.""Tiny Tim is a symbol of innocence and vulnerability within the Cratchit family, evoking compassion and highlighting the harsh realities of illness and poverty.""Tiny Tim is a symbolic character representing innocence and the impact of loss on family cohesion.""Tiny Tim is a young boy in the Cratchit family, characterized by his spirit and resilience despite being a cripple, symbolizing hope and kindness during Christmas.""Tiny Tim is a young boy in the Cratchit family, who is portrayed as frail yet joyous and embodies the spirit of Christmas.""Tiny Tim is a young child in the Cratchit family, whose health and well-being are of great concern to his family, and he is remembered fondly.""Tiny Tim is depicted as a vulnerable child who participates in the Christmas toast but seems indifferent to it, symbolizing the family\'s struggles.""Tiny Tim, the son of Bob Cratchit, is a sickly child whose positive outlook on life symbolizes hope and compassion in A Christmas Carol."', 'source_id': 'chunk-83ac129dc9b56f84c46760d153d68e93chunk-503f0bfa5453467c7c61d160a3540ecachunk-91572b3cd42786ba4cb2f180ca25cbf4chunk-1d4b58de5429cd1261370c231c8673e8chunk-90b95db5c53e4364a6bee36b7aa4d70fchunk-94bea83e7153fc2064aa382b494936a1chunk-7e2e7ebcc19a53b399dc03aded4743e7chunk-9e3921da66da5d761ab73cd849af6c43chunk-19d72c57ae3408758b18d2568e86dc6b'}> -2024-10-29 15:29:19,508 - lightrag - INFO - get_node:query:MATCH (n:`TOPPER`) RETURN n:result:"Topper is a character who participates in the dinner and seems to have an interest in one of Scrooge\'s niece\'s sisters.""Topper is a guest at the Christmas party, representing the jovial and festive spirit of the gathering with Fred and Scrooge."', 'source_id': 'chunk-94bea83e7153fc2064aa382b494936a1chunk-773d0df1dd25c356f7b771d780583e09chunk-43c9bee23adfa77aa9dedd22401bba7d'}> -2024-10-29 15:29:19,600 - lightrag - INFO - get_node:query:MATCH (n:`THE BELL`) RETURN n:result:"The Bell is described as a disused bell that starts to swing and ring during the haunting, signifying the onset of supernatural occurrences."', 'source_id': 'chunk-9c43dac2fcd5b578242d907ea6f8fc7bchunk-cb661c37436355ccec2769b1d0350c5f'}> -2024-10-29 15:29:19,689 - lightrag - INFO - get_node:query:MATCH (n:`CHRISTMAS CAROL`) RETURN n:result:"The Christmas Carol is a musical tradition performed during the Christmas season, symbolizing goodwill and festive spirit."', 'source_id': 'chunk-90d5764e301321c087f5a8f78b73a145chunk-8590d9263cd2cd4fa583c432fc54e6c3'}> -2024-10-29 15:29:19,780 - lightrag - INFO - get_node:query:MATCH (n:`THE BOY`) RETURN n:result:"The Boy is a young messenger who interacts with Scrooge during his purchase of the turkey."', 'source_id': 'chunk-8f738cb25d60a7dab782162d9d0a25edchunk-8bc1edd983869352d14cf0886a9175a7'}> -2024-10-29 15:29:19,869 - lightrag - INFO - get_node:query:MATCH (n:`THE FATHER`) RETURN n:result: -2024-10-29 15:29:19,960 - lightrag - INFO - get_node:query:MATCH (n:`THE FUTURE`) RETURN n:result:"The Future represents the potential outcomes of Scrooge’s life choices, depicted through the visions shown by the Spirits."', 'source_id': 'chunk-91572b3cd42786ba4cb2f180ca25cbf4chunk-02baee20cc9463dbe08170a8e1043e32'}> -2024-10-29 15:29:20,053 - lightrag - INFO - get_node:query:MATCH (n:`HOSPITAL`) RETURN n:result: -2024-10-29 15:29:20,142 - lightrag - INFO - get_node:query:MATCH (n:`THE HOUSE`) RETURN n:result:"The House is the setting where Scrooge experiences the haunting, with a description of its features contributing to the eerie atmosphere."', 'source_id': 'chunk-da2472b4ef2a535b62908f14d0fb0ca9chunk-9c43dac2fcd5b578242d907ea6f8fc7b'}> -2024-10-29 15:29:20,232 - lightrag - INFO - get_node:query:MATCH (n:`THE GHOST OF CHRISTMAS FUTURE`) RETURN n:result: -2024-10-29 15:29:20,322 - lightrag - INFO - get_node:query:MATCH (n:`VALENTINE`) RETURN n:result: -2024-10-29 15:29:20,410 - lightrag - INFO - get_node:query:MATCH (n:`LITTLE FAN`) RETURN n:result: -2024-10-29 15:29:20,513 - lightrag - INFO - get_node:query:MATCH (n:`BUSINESSMEN`) RETURN n:result: -2024-10-29 15:29:20,607 - lightrag - INFO - get_node:query:MATCH (n:`FRIDAY`) RETURN n:result: -2024-10-29 15:29:20,695 - lightrag - INFO - get_node:query:MATCH (n:`THE WAREHOUSE`) RETURN n:result:"The Warehouse is the setting for Fezziwig\'s celebrations, transformed into a ballroom for the festivities."', 'source_id': 'chunk-c6c248858d1b13ab7ee9ca13c1aeed6bchunk-8bc1edd983869352d14cf0886a9175a7'}> -2024-10-29 15:29:20,782 - lightrag - INFO - get_node:query:MATCH (n:`IGNORANCE`) RETURN n:result:"Ignorance is personified as a boy that symbolizes the dangers of ignoring social issues and the consequences of a lack of awareness."', 'source_id': 'chunk-02baee20cc9463dbe08170a8e1043e32chunk-e7637ff18c5ded77a68cce0a87883fad'}> -2024-10-29 15:29:20,873 - lightrag - INFO - get_node:query:MATCH (n:`THE YOUNG GIRL`) RETURN n:result: -2024-10-29 15:29:20,961 - lightrag - INFO - get_node:query:MATCH (n:`THE GHOST`) RETURN n:result:"The Ghost is a supernatural entity that shows Scrooge scenes from his past to provoke realization and remorse.""The Ghost refers specifically to the supernatural presence guiding Scrooge through his reflections and past experiences.""The Ghost represents the spirit of Jacob Marley, warning Scrooge about the aftereffects of neglecting human virtue and kindness during life.""The Ghost represents various spectral entities that visit Scrooge to facilitate his transformation by highlighting the consequences of his actions.""The Ghost serves as a guiding presence that helps Scrooge confront and reflect on his past during Christmas."', 'source_id': 'chunk-8590d9263cd2cd4fa583c432fc54e6c3chunk-54bdd22db1f84a965b5f4c06c9216d8dchunk-1aa50206d02ed89418f65f97c6441d1cchunk-02baee20cc9463dbe08170a8e1043e32chunk-da2472b4ef2a535b62908f14d0fb0ca9chunk-359187e7571bda4b0b08b2e0b6581e52'}> -2024-10-29 15:29:21,055 - lightrag - INFO - get_node:query:MATCH (n:`ALI BABA`) RETURN n:result: -2024-10-29 15:29:21,146 - lightrag - INFO - get_node:query:MATCH (n:`THE BLANKETS`) RETURN n:result: -2024-10-29 15:29:21,237 - lightrag - INFO - get_node:query:MATCH (n:`MARLEY`) RETURN n:result:"Marley is Scrooge\'s deceased partner whose death is emphasized, and who impacts Scrooge\'s story through memories and reflections.""Marley is a character who, although only mentioned, has had a significant influence on Scrooge\'s life and perspective, representing his past connections.""Marley is a deceased character whose ghost appears to Scrooge, representing regret and the consequences of a life led without compassion."', 'source_id': 'chunk-d9aac3484185ac66045df92214d245d5chunk-843b5b2f944c7413d9ca876e2e2f151fchunk-89777b838d5447c7bd1ec11282c4ee89chunk-9c43dac2fcd5b578242d907ea6f8fc7b'}> -2024-10-29 15:29:21,326 - lightrag - INFO - get_node:query:MATCH (n:`BOB`) RETURN n:result:"Bob is referenced humorously by Scrooge in the context of a joke regarding a large turkey."', 'source_id': 'chunk-8f738cb25d60a7dab782162d9d0a25edchunk-91572b3cd42786ba4cb2f180ca25cbf4'}> -2024-10-29 15:29:21,416 - lightrag - INFO - get_node:query:MATCH (n:`ORSON`) RETURN n:result: -2024-10-29 15:29:21,510 - lightrag - INFO - get_node:query:MATCH (n:`TURKEYS`) RETURN n:result:"Turkeys represent a common food item associated with the Christmas feast, highlighting the culinary aspects of the celebration."', 'source_id': 'chunk-843b5b2f944c7413d9ca876e2e2f151fchunk-99b0ec7f7e006561352b5d65e849611d'}> -2024-10-29 15:29:21,603 - lightrag - INFO - get_node:query:MATCH (n:`THE GROCERS`) RETURN n:result: -2024-10-29 15:29:21,694 - lightrag - INFO - get_node:query:MATCH (n:`THE GHOST OF CHRISTMAS PRESENT`) RETURN n:result:"The Ghost of Christmas Present is a supernatural being that shows Scrooge the true spirit of Christmas, including kindness towards the poor.""The Ghost of Christmas Present signifies abundance and the spirit of joy that Scrooge is encouraged to embrace."', 'source_id': 'chunk-90b95db5c53e4364a6bee36b7aa4d70fchunk-43c9bee23adfa77aa9dedd22401bba7dchunk-b0f459f5af1c3a5e0b92cbe4ee48b77b'}> -2024-10-29 15:29:21,781 - lightrag - INFO - get_node:query:MATCH (n:`GAOL`) RETURN n:result: -2024-10-29 15:29:21,869 - lightrag - INFO - get_node:query:MATCH (n:`THE COLD`) RETURN n:result: -2024-10-29 15:29:21,959 - lightrag - INFO - get_node:query:MATCH (n:`CHARLES DICKENS`) RETURN n:result: -2024-10-29 15:29:22,054 - lightrag - INFO - get_node:query:MATCH (n:`THE WOMAN`) RETURN n:result:"The Woman is a character involved in the dialogue about the deceased\'s belongings, showing a carefree attitude towards their former owner.""The Woman is a character who enters the shop with a heavy bundle and demonstrates a bold and defiant demeanor, eager to take part in the conversation about the deceased\'s belongings."', 'source_id': 'chunk-60fc063c79fc0d4acc91a57e79de04dcchunk-89777b838d5447c7bd1ec11282c4ee89chunk-e1f29eeadc1d8ab46dc8a0bbd3c56b64'}> -2024-10-29 15:29:22,146 - lightrag - INFO - get_node:query:MATCH (n:`THE BUSINESSMEN`) RETURN n:result: -2024-10-29 15:29:22,234 - lightrag - INFO - get_node:query:MATCH (n:`FIGS`) RETURN n:result: -2024-10-29 15:29:22,327 - lightrag - INFO - get_node:query:MATCH (n:`DEATH`) RETURN n:result:"Death is described as a powerful force in the narrative, represented through the imagery of a cold, rigid presence and the contemplation of mortality.""Death refers to the passing of a character that triggers a range of emotions and reflections among the living, influencing their lives and relationships."', 'source_id': 'chunk-e1f29eeadc1d8ab46dc8a0bbd3c56b64chunk-83ac129dc9b56f84c46760d153d68e93chunk-02baee20cc9463dbe08170a8e1043e32'}> -2024-10-29 15:29:22,418 - lightrag - INFO - get_node:query:MATCH (n:`CHRISTMAS DAY`) RETURN n:result:"Christmas Day is a significant holiday that marks the time of Scrooge\'s revelation and intent to change.""Christmas Day is celebrated by the Cratchit family with a communal meal and expressions of joy and togetherness, highlighting the importance of family and gratitude.""Christmas Day serves as the central event around which the family gathers and reflects on their feelings towards Scrooge."', 'source_id': 'chunk-90b95db5c53e4364a6bee36b7aa4d70fchunk-19d72c57ae3408758b18d2568e86dc6bchunk-7e2e7ebcc19a53b399dc03aded4743e7chunk-b0f459f5af1c3a5e0b92cbe4ee48b77b'}> -2024-10-29 15:29:22,510 - lightrag - INFO - get_node:query:MATCH (n:`HOLLY`) RETURN n:result:"Holly is a plant associated with Christmas, mentioned among other decorations that contribute to the festive atmosphere."', 'source_id': 'chunk-843b5b2f944c7413d9ca876e2e2f151fchunk-99b0ec7f7e006561352b5d65e849611d'}> -2024-10-29 15:29:22,599 - lightrag - INFO - get_node:query:MATCH (n:`WANT`) RETURN n:result: -2024-10-29 15:29:22,689 - lightrag - INFO - get_node:query:MATCH (n:`FRED`) RETURN n:result:"Fred is Scrooge\'s nephew who expresses admiration for his uncle and proposes a toast in his honor during a Christmas gathering.""Fred is Scrooge\'s nephew, mentioned in the context of Scrooge\'s visit to his house.""Fred is Scrooge\'s nephew, representing the warmth and joy of family that Scrooge initially rejects.""Fred is Scrooge\'s niece by marriage who expresses surprise and warmth at Scrooge\'s unexpected visit for dinner."', 'source_id': 'chunk-8f738cb25d60a7dab782162d9d0a25edchunk-e7637ff18c5ded77a68cce0a87883fadchunk-94bea83e7153fc2064aa382b494936a1chunk-89777b838d5447c7bd1ec11282c4ee89chunk-9e3921da66da5d761ab73cd849af6c43'}> -2024-10-29 15:29:22,779 - lightrag - INFO - get_node:query:MATCH (n:`THE PHANTOM`) RETURN n:result: -2024-10-29 15:29:22,869 - lightrag - INFO - get_node:query:MATCH (n:`ROBIN CRUSOE`) RETURN n:result: -2024-10-29 15:29:22,958 - lightrag - INFO - get_node:query:MATCH (n:`THE GENTLEMAN`) RETURN n:result: -2024-10-29 15:29:23,048 - lightrag - INFO - get_node:query:MATCH (n:`THE COUNTING-HOUSE`) RETURN n:result:"The Counting-House is where Scrooge works and is characterized by its cold and unwelcoming environment."', 'source_id': 'chunk-d9aac3484185ac66045df92214d245d5chunk-74e2466de2f67fd710ef2f20c0a8d9e0'}> -2024-10-29 15:29:23,136 - lightrag - INFO - get_node:query:MATCH (n:`THE FROZEN MOOR`) RETURN n:result: -2024-10-29 15:29:23,222 - lightrag - INFO - get_node:query:MATCH (n:`THE TURKEY`) RETURN n:result: -2024-10-29 15:29:23,312 - lightrag - INFO - get_node:query:MATCH (n:`DARKNESS`) RETURN n:result: -2024-10-29 15:29:23,401 - lightrag - INFO - get_node:query:MATCH (n:`CHRISTMAS EVE`) RETURN n:result:"Christmas Eve is the night before Christmas, serving as the backdrop for the lively celebrations and dances hosted by Fezziwig.""Christmas Eve is the specific time setting in the story, highlighting the contrast between the joy of the holiday and Scrooge\'s negativity."', 'source_id': 'chunk-d9aac3484185ac66045df92214d245d5chunk-8bc1edd983869352d14cf0886a9175a7chunk-74e2466de2f67fd710ef2f20c0a8d9e0'}> -2024-10-29 15:29:23,490 - lightrag - INFO - get_node:query:MATCH (n:`THE GHOST OF MARLEY`) RETURN n:result: -2024-10-29 15:29:23,577 - lightrag - INFO - get_node:query:MATCH (n:`WEALTH`) RETURN n:result: -2024-10-29 15:29:23,665 - lightrag - INFO - get_node:query:MATCH (n:`FRENCH PLUMS`) RETURN n:result: -2024-10-29 15:29:23,761 - lightrag - INFO - get_node:query:MATCH (n:`CHILDREN`) RETURN n:result:"The Children represent the joyful, carefree aspects of Scrooge\'s past, embodying happiness and the innocence of youth that he has long forgotten."', 'source_id': 'chunk-bb21d58d36c6306fd8810ddd51c4a971chunk-e7637ff18c5ded77a68cce0a87883fad'}> -2024-10-29 15:29:23,854 - lightrag - INFO - get_node:query:MATCH (n:`MARLEY'S GHOST`) RETURN n:result:"Marley\'s Ghost is a spectral visitation that deeply troubles Scrooge and causes him great perplexity, leading him to question the reality of his experiences.""Marley\'s Ghost represents the supernatural apparition of Marley, who has been dead for seven years and symbolizes regret and warning to Scrooge."', 'source_id': 'chunk-c7b10789a9cb0af6c553730b29bd9034chunk-9c43dac2fcd5b578242d907ea6f8fc7bchunk-cb661c37436355ccec2769b1d0350c5f'}> -2024-10-29 15:29:23,942 - lightrag - INFO - get_node:query:MATCH (n:`JACOB MARLEY`) RETURN n:result:"Jacob Marley is Scrooge\'s deceased business partner, who appears as a ghost to warn Scrooge of his impending fate and the need for change.""Jacob Marley is a deceased character who symbolizes the consequences of a life led without compassion, influencing Scrooge\'s redemption.""Jacob Marley is a ghost who appears to Scrooge, having been his business partner in life, and is now bound by chains that signify his earthly ties and regrets.""Jacob Marley is the ghost of Scrooge\'s former business partner, who seeks to impart a lesson about the consequences of a life lived without compassion or connection to humanity.""Jacob Marley is the ghost who represents Scrooge\'s past and serves as a catalyst for his change."', 'source_id': 'chunk-90b95db5c53e4364a6bee36b7aa4d70fchunk-1aa50206d02ed89418f65f97c6441d1cchunk-02baee20cc9463dbe08170a8e1043e32chunk-91572b3cd42786ba4cb2f180ca25cbf4chunk-da2472b4ef2a535b62908f14d0fb0ca9chunk-359187e7571bda4b0b08b2e0b6581e52'}> -2024-10-29 15:29:24,031 - lightrag - INFO - get_node:query:MATCH (n:`MAN`) RETURN n:result: -2024-10-29 15:29:24,119 - lightrag - INFO - get_node:query:MATCH (n:`TWELFTH-NIGHT PARTY`) RETURN n:result: -2024-10-29 15:29:24,207 - lightrag - INFO - get_node:query:MATCH (n:`PEARS`) RETURN n:result: -2024-10-29 15:29:24,296 - lightrag - INFO - get_node:query:MATCH (n:`MULTITUDES`) RETURN n:result: -2024-10-29 15:29:24,388 - lightrag - INFO - get_node:query:MATCH (n:`JACOB`) RETURN n:result: -2024-10-29 15:29:24,480 - lightrag - INFO - get_node:query:MATCH (n:`THE PAST`) RETURN n:result: -2024-10-29 15:29:24,573 - lightrag - INFO - get_node:query:MATCH (n:`ARTHUR RACKHAM`) RETURN n:result: -2024-10-29 15:29:24,660 - lightrag - INFO - get_node:query:MATCH (n:`BAD REPUTE`) RETURN n:result: -2024-10-29 15:29:24,751 - lightrag - INFO - get_node:query:MATCH (n:`THE SCHOOLMASTER`) RETURN n:result: -2024-10-29 15:29:24,837 - lightrag - INFO - get_node:query:MATCH (n:`THE REGISTER`) RETURN n:result: -2024-10-29 15:29:24,928 - lightrag - INFO - get_node:query:MATCH (n:`MISTLETOE`) RETURN n:result: -2024-10-29 15:29:25,021 - lightrag - INFO - get_node:query:MATCH (n:`SHADOW OF HIMSELF`) RETURN n:result: -2024-10-29 15:29:25,109 - lightrag - INFO - get_node:query:MATCH (n:`THE CASK`) RETURN n:result: -2024-10-29 15:29:25,200 - lightrag - INFO - get_node:query:MATCH (n:`THE DAUGHTER`) RETURN n:result: -2024-10-29 15:29:25,310 - lightrag - INFO - get_node:query:MATCH (n:`THE LAMPLIGHTER`) RETURN n:result: -2024-10-29 15:29:25,402 - lightrag - INFO - get_node:query:MATCH (n:`GHOST OF CHRISTMAS PRESENT`) RETURN n:result:"The Ghost of Christmas Present is a spirit that reveals to Scrooge the joys and struggles of the present Christmas season, emphasizing generosity and compassion."', 'source_id': 'chunk-843b5b2f944c7413d9ca876e2e2f151fchunk-9e3921da66da5d761ab73cd849af6c43'}> -2024-10-29 15:29:25,493 - lightrag - INFO - get_node:query:MATCH (n:`MR. MARLEY`) RETURN n:result: -2024-10-29 15:29:25,584 - lightrag - INFO - get_node:query:MATCH (n:`CITY`) RETURN n:result:"The City represents the urban setting where Scrooge witnesses the indifference of its inhabitants regarding his death.""The City represents the urban setting where Scrooge\'s transformation takes place, symbolizing the broader society impacted by his changes."', 'source_id': 'chunk-843b5b2f944c7413d9ca876e2e2f151fchunk-94bea83e7153fc2064aa382b494936a1chunk-02baee20cc9463dbe08170a8e1043e32'}> -2024-10-29 15:29:25,671 - lightrag - INFO - get_node:query:MATCH (n:`THE GHOST OF CHRISTMAS PAST`) RETURN n:result: -2024-10-29 15:29:25,762 - lightrag - INFO - get_node:query:MATCH (n:`MISERY'S REFUGE`) RETURN n:result: -2024-10-29 15:29:25,848 - lightrag - INFO - get_node:query:MATCH (n:`CRATCHIT FAMILY`) RETURN n:result:"The Cratchit Family is portrayed as a close-knit group who, despite their hardships, find joy and gratitude during the Christmas gathering.""The Cratchit Family is portrayed as a loving unit celebrating Christmas together, with various members actively participating in the festivities.""The Cratchit family represents a unit bound by love and resilience in the face of adversity, dealing with emotional and financial struggles."', 'source_id': 'chunk-83ac129dc9b56f84c46760d153d68e93chunk-503f0bfa5453467c7c61d160a3540ecachunk-7e2e7ebcc19a53b399dc03aded4743e7chunk-19d72c57ae3408758b18d2568e86dc6b'}> -2024-10-29 15:29:25,933 - lightrag - INFO - get_node:query:MATCH (n:`THE VISITOR`) RETURN n:result: -2024-10-29 15:29:26,021 - lightrag - INFO - get_node:query:MATCH (n:`THE SITTING ROOM`) RETURN n:result: -2024-10-29 15:29:26,111 - lightrag - INFO - get_node:query:MATCH (n:`STREET`) RETURN n:result: -2024-10-29 15:29:26,201 - lightrag - INFO - get_node:query:MATCH (n:`THE CITY`) RETURN n:result:"The City represents the bustling urban environment where Scrooge reflects on his past, filled with activity and shadowy figures.""The City, from which Scrooge is transported, represents his past life and is contrasted with the open country road that signifies his memories."', 'source_id': 'chunk-bb21d58d36c6306fd8810ddd51c4a971chunk-c6c248858d1b13ab7ee9ca13c1aeed6bchunk-74e2466de2f67fd710ef2f20c0a8d9e0'}> -2024-10-29 15:29:26,292 - lightrag - INFO - get_node:query:MATCH (n:`CHRISTMAS`) RETURN n:result:"Christmas is a festive occasion that has led to a joyful transformation in Scrooge\'s character and actions.""Christmas is a festive time celebrated by the Cratchit family, symbolizing joy, family togetherness, and generosity.""Christmas is a significant holiday that serves as the backdrop for Scrooge\'s transformation and the events that unfold during the narrative.""Christmas is a significant holiday that triggers Scrooge\'s memories and reflections on joy, loneliness, and his past.""Christmas is central to the text, symbolizing generosity, charity, and warmth that Scrooge rejects.""Christmas is depicted as a festive season when charity and social duty are emphasized, contrasting with Scrooge\'s values.""Christmas is depicted as a time associated with joy and abundance, contrasting with Scrooge\'s initial views.""Christmas is depicted as a time of joy and communal spirit, marked by people\'s activities and interactions in the streets.""Christmas is depicted as a time of joy and generosity, contrasting sharply with Scrooge\'s past behavior and current solitude.""Christmas is portrayed as a festive time that Scrooge dismisses, emphasizing the contrast between joy and his miserable attitude.""Christmas is portrayed as a time of joy, reflection, and connection, emphasizing the positive impact of the holiday spirit on individuals and communities.""Christmas is presented as a time for merriment and social gatherings, which Scrooge\'s nephew advocates for despite his uncle\'s opposition.""Christmas is the central holiday during which the events unfold, leading to significant character transformations and themes of generosity.""Christmas is the season during which festive activities and celebrations are occurring, including dances and gatherings.""Christmas represents a time of reflection and change for Scrooge, emphasizing themes of redemption.""Christmas serves as a thematic backdrop for the story, symbolizing redemption, generosity, and the spirit of giving."', 'source_id': 'chunk-91614df5cb74cbe5e109a338a82041e9chunk-503f0bfa5453467c7c61d160a3540ecachunk-773d0df1dd25c356f7b771d780583e09chunk-8f738cb25d60a7dab782162d9d0a25edchunk-e7637ff18c5ded77a68cce0a87883fadchunk-8590d9263cd2cd4fa583c432fc54e6c3chunk-54bdd22db1f84a965b5f4c06c9216d8dchunk-02baee20cc9463dbe08170a8e1043e32chunk-90d5764e301321c087f5a8f78b73a145chunk-91572b3cd42786ba4cb2f180ca25cbf4chunk-1d4b58de5429cd1261370c231c8673e8chunk-da2472b4ef2a535b62908f14d0fb0ca9chunk-94bea83e7153fc2064aa382b494936a1chunk-89777b838d5447c7bd1ec11282c4ee89chunk-99b0ec7f7e006561352b5d65e849611dchunk-74e2466de2f67fd710ef2f20c0a8d9e0chunk-5dac41b3f9eeaf794f0147400b1718cd'}> -2024-10-29 15:29:36,901 - lightrag - INFO - get_edge:query: - MATCH (source:`SCROOGE`)-[r]-(target:`THE BUSINESSMEN`) - RETURN r - :result:, ) type='DIRECTED' properties={'keywords': '"societal apathy, lack of empathy"', 'description': '"Scrooge’s death is discussed among the Businessmen, who show a lack of concern, exemplifying the indifference of society."', 'weight': 8.0, 'source_id': 'chunk-02baee20cc9463dbe08170a8e1043e32'}> -2024-10-29 15:29:36,995 - lightrag - INFO - get_edge:query: - MATCH (source:`ROBIN CRUSOE`)-[r]-(target:`SCROOGE`) - RETURN r - :result:, ) type='DIRECTED' properties={'keywords': '"literary influence, nostalgia"', 'description': '"Scrooge\'s reference to Robin Crusoe during his reflections shows how literary characters shaped his childhood thoughts and feelings."', 'weight': 7.0, 'source_id': 'chunk-8590d9263cd2cd4fa583c432fc54e6c3'}> -2024-10-29 15:29:37,092 - lightrag - INFO - get_edge:query: - MATCH (source:`THE FROZEN MOOR`)-[r]-(target:`THE SETTING SUN`) - RETURN r - :result:, ) type='DIRECTED' properties={'keywords': '"nature, contrast"', 'description': '"The Setting Sun casts a dramatic light on the Frozen Moor, highlighting the stark beauty and desolation of the landscape."', 'weight': 6.0, 'source_id': 'chunk-91614df5cb74cbe5e109a338a82041e9'}> -2024-10-29 15:29:37,185 - lightrag - INFO - get_edge:query: - MATCH (source:`SCROOGE`)-[r]-(target:`THE BOY`) +2024-10-30 06:44:06,800 - lightrag - INFO - Load KV full_docs with 0 data +2024-10-30 06:44:06,800 - lightrag - INFO - Load KV text_chunks with 0 data +2024-10-30 06:44:06,801 - lightrag - INFO - Load KV llm_response_cache with 117 data +2024-10-30 06:44:06,803 - lightrag - INFO - Creating a new event loop in a sub-thread. +2024-10-30 06:44:06,804 - lightrag - INFO - [New Docs] inserting 1 docs +2024-10-30 06:44:06,985 - lightrag - INFO - [New Chunks] inserting 42 chunks +2024-10-30 06:44:06,985 - lightrag - INFO - Inserting 42 vectors to chunks +2024-10-30 06:44:08,532 - lightrag - INFO - [Entity Extraction]... +2024-10-30 06:44:09,310 - lightrag - INFO - get_node:query:MATCH (n:`PROJECT GUTENBERG`) RETURN n:result:chunk-c51b3dc560b408cce12cdfe5c9c94f57chunk-9e3921da66da5d761ab73cd849af6c43chunk-af4ae173c561e4594c5aea96198cce9d'}> +2024-10-30 06:44:09,444 - lightrag - INFO - _do_upsert:query: + MERGE (n:`PROJECT GUTENBERG`) + SET n += $properties + RETURN n + :result:{'entity_type': '"ORGANIZATION"', 'description': '"Project Gutenberg is a digital library offering free access to a vast array of eBooks, particularly those not protected by U.S. copyright law, allowing for worldwide distribution under specific conditions.""Project Gutenberg is an organization dedicated to the free distribution of electronic works, relying on volunteers and donations to maintain its collection.""Project Gutenberg is an organization that promotes the free distribution of electronic works and holds a compilation copyright for its collection.""Project Gutenberg is an organization that provides free eBooks, promoting accessibility to literature without restrictions."Project Gutenberg is a digital library and organization dedicated to the free distribution of electronic works, particularly eBooks that are not protected by U.S. copyright law. It offers access to a vast array of literature, allowing for worldwide distribution under specific conditions. The organization aims to promote accessibility to literature without restrictions, providing eBooks in various formats to users globally.\n\nProject Gutenberg relies on the support of volunteers and donations to maintain its extensive collection, which serves the purpose of preserving cultural heritage through public domain literature. Additionally, the organization holds a compilation copyright for its collection, ensuring that its offerings are both legally sound and accessible to the public.\n\nIn essence, Project Gutenberg is committed to making literature freely available to everyone, championing the cause of open access to knowledge and cultural works.', 'source_id': 'chunk-af4ae173c561e4594c5aea96198cce9dchunk-194cd9680f4967f48bea89678f7ece21chunk-9e3921da66da5d761ab73cd849af6c43chunk-c51b3dc560b408cce12cdfe5c9c94f57'} +2024-10-30 06:44:09,587 - lightrag - INFO - get_node:query:MATCH (n:`A CHRISTMAS CAROL`) RETURN n:result:"A Christmas Carol is a famous novella by Charles Dickens that tells the story of Ebenezer Scrooge\'s transformation and redemption, particularly around the Christmas season.""A Christmas Carol is a famous novella by Charles Dickens that tells the story of Ebenezer Scrooge\'s transformation and redemption, particularly around the Christmas season.""A Christmas Carol is a famous novella by Charles Dickens that tells the story of Ebenezer Scrooge\'s transformation and redemption, particularly around the Christmas season.""A Christmas Carol is a literary work available through Project Gutenberg, indicating its role in literature and public access.""A Christmas Carol is a novella by Charles Dickens that explores themes of redemption, compassion, and the spirit of Christmas, first published in 1843.""A Christmas Carol is a literary work available through Project Gutenberg, indicating its role in literature and public access.""A Christmas Carol is a literary work available through Project Gutenberg, indicating its role in literature and public access.""A Christmas Carol is a literary work available through Project Gutenberg, indicating its role in literature and public access."', 'source_id': 'chunk-194cd9680f4967f48bea89678f7ece21chunk-9e3921da66da5d761ab73cd849af6c43'}> +2024-10-30 06:44:09,722 - lightrag - INFO - _do_upsert:query: + MERGE (n:`A CHRISTMAS CAROL`) + SET n += $properties + RETURN n + :result:{'entity_type': '"EVENT"', 'description': '"A Christmas Carol is a famous novella by Charles Dickens that tells the story of Ebenezer Scrooge\'s transformation and redemption, particularly around the Christmas season.""A Christmas Carol is a famous novella by Charles Dickens that tells the story of Ebenezer Scrooge\'s transformation and redemption, particularly around the Christmas season.""A Christmas Carol is a famous novella by Charles Dickens that tells the story of Ebenezer Scrooge\'s transformation and redemption, particularly around the Christmas season.""A Christmas Carol is a famous novella by Charles Dickens that tells the story of Ebenezer Scrooge\'s transformation and redemption, particularly around the Christmas season.""A Christmas Carol is a famous novella by Charles Dickens that tells the story of Ebenezer Scrooge\'s transformation and redemption, particularly around the Christmas season.""A Christmas Carol is a literary work available through Project Gutenberg, indicating its role in literature and public access.""A Christmas Carol is a novella by Charles Dickens that explores themes of redemption, compassion, and the spirit of Christmas, first published in 1843.""A Christmas Carol is a literary work available through Project Gutenberg, indicating its role in literature and public access.""A Christmas Carol is a literary work available through Project Gutenberg, indicating its role in literature and public access.""A Christmas Carol is a literary work available through Project Gutenberg, indicating its role in literature and public access.""A Christmas Carol is a literary work available through Project Gutenberg, indicating its role in literature and public access."', 'source_id': 'chunk-194cd9680f4967f48bea89678f7ece21chunk-9e3921da66da5d761ab73cd849af6c43'} +2024-10-30 06:44:09,851 - lightrag - INFO - get_node:query:MATCH (n:`CHARLES DICKENS`) RETURN n:result:"Charles Dickens is the author of A Christmas Carol, a prominent English writer known for his literary contributions in the 19th century.""Charles Dickens is the author of A Christmas Carol, a prominent English writer known for his literary contributions in the 19th century.""Charles Dickens is the author of A Christmas Carol, a prominent English writer known for his literary contributions in the 19th century.""Charles Dickens is the author of A Christmas Carol, a prominent English writer known for his literary contributions in the 19th century."', 'source_id': 'chunk-9e3921da66da5d761ab73cd849af6c43'}> +2024-10-30 06:44:09,986 - lightrag - INFO - _do_upsert:query: + MERGE (n:`CHARLES DICKENS`) + SET n += $properties + RETURN n + :result:{'entity_type': '"PERSON"', 'description': '"Charles Dickens is a renowned English writer and social critic, best known for his novels depicting Victorian society, including A Christmas Carol.""Charles Dickens is the author of A Christmas Carol, a prominent English writer known for his literary contributions in the 19th century.""Charles Dickens is the author of A Christmas Carol, a prominent English writer known for his literary contributions in the 19th century.""Charles Dickens is the author of A Christmas Carol, a prominent English writer known for his literary contributions in the 19th century.""Charles Dickens is the author of A Christmas Carol, a prominent English writer known for his literary contributions in the 19th century.""Charles Dickens is the author of A Christmas Carol, a prominent English writer known for his literary contributions in the 19th century."', 'source_id': 'chunk-9e3921da66da5d761ab73cd849af6c43'} +2024-10-30 06:44:10,122 - lightrag - INFO - get_node:query:MATCH (n:`ARTHUR RACKHAM`) RETURN n:result:"Arthur Rackham is the illustrator of A Christmas Carol, renowned for his distinctive style in illustrating classic literature.""Arthur Rackham is the illustrator of A Christmas Carol, renowned for his distinctive style in illustrating classic literature.""Arthur Rackham is the illustrator of A Christmas Carol, renowned for his distinctive style in illustrating classic literature.""Arthur Rackham was an English illustrator known for his imaginative and detailed illustrations for children\'s books, including A Christmas Carol."', 'source_id': 'chunk-9e3921da66da5d761ab73cd849af6c43'}> +2024-10-30 06:44:10,250 - lightrag - INFO - _do_upsert:query: + MERGE (n:`ARTHUR RACKHAM`) + SET n += $properties + RETURN n + :result:{'entity_type': '"PERSON"', 'description': '"Arthur Rackham is the illustrator of A Christmas Carol, renowned for his distinctive style in illustrating classic literature.""Arthur Rackham is the illustrator of A Christmas Carol, renowned for his distinctive style in illustrating classic literature.""Arthur Rackham is the illustrator of A Christmas Carol, renowned for his distinctive style in illustrating classic literature.""Arthur Rackham is the illustrator of A Christmas Carol, renowned for his distinctive style in illustrating classic literature.""Arthur Rackham is the illustrator of A Christmas Carol, renowned for his distinctive style in illustrating classic literature.""Arthur Rackham was an English illustrator known for his imaginative and detailed illustrations for children\'s books, including A Christmas Carol."', 'source_id': 'chunk-9e3921da66da5d761ab73cd849af6c43'} +2024-10-30 06:44:10,381 - lightrag - INFO - get_node:query:MATCH (n:`EBENEZER SCROOGE`) RETURN n:result:"Ebenezer Scrooge is a central character known for his past connections and interactions, especially with Fezziwig and Dick Wilkins.""Ebenezer Scrooge is a central character known for his past connections and interactions, especially with Fezziwig and Dick Wilkins.""Ebenezer Scrooge is a central character known for his past connections and interactions, especially with Fezziwig and Dick Wilkins.""Ebenezer Scrooge is a protagonist who experiences confusion and fear regarding the passage of time and supernatural events, especially concerned about a ghostly visitation.""Ebenezer Scrooge is the main character of A Christmas Carol, portrayed as a miserly and greedy old man who experiences a transformation through the visitation of spirits.""Ebenezer Scrooge is the main character of A Christmas Carol, depicted as a miserly and cold-hearted man who undergoes a significant transformation.""Ebenezer Scrooge is the main character who experiences a profound transformation through his encounters with supernatural entities.""Ebenezer Scrooge is the main character of A Christmas Carol, depicted as a miserly and cold-hearted man who undergoes a significant transformation.""Ebenezer Scrooge is the main character who experiences a profound transformation through his encounters with supernatural entities.""Ebenezer Scrooge is the main character of A Christmas Carol, depicted as a miserly and cold-hearted man who undergoes a significant transformation.""Ebenezer Scrooge is the main character who experiences a profound transformation through his encounters with supernatural entities.""Ebenezer Scrooge is the main character of A Christmas Carol, depicted as a miserly and cold-hearted man who undergoes a significant transformation.""Ebenezer Scrooge is the main character who experiences a profound transformation through his encounters with supernatural entities."', 'source_id': 'chunk-c7b10789a9cb0af6c553730b29bd9034chunk-9e3921da66da5d761ab73cd849af6c43chunk-8bc1edd983869352d14cf0886a9175a7'}> +2024-10-30 06:44:10,384 - lightrag - DEBUG - Trigger summary: "EBENEZER SCROOGE" +2024-10-30 06:44:10,483 - lightrag - INFO - get_node:query:MATCH (n:`BOB CRATCHIT`) RETURN n:result:chunk-94bea83e7153fc2064aa382b494936a1chunk-90b95db5c53e4364a6bee36b7aa4d70fchunk-83ac129dc9b56f84c46760d153d68e93chunk-7e2e7ebcc19a53b399dc03aded4743e7chunk-503f0bfa5453467c7c61d160a3540ecachunk-19d72c57ae3408758b18d2568e86dc6bchunk-9e3921da66da5d761ab73cd849af6c43chunk-d9aac3484185ac66045df92214d245d5chunk-b0f459f5af1c3a5e0b92cbe4ee48b77bchunk-91572b3cd42786ba4cb2f180ca25cbf4'}> +2024-10-30 06:44:10,486 - lightrag - DEBUG - Trigger summary: "BOB CRATCHIT" +2024-10-30 06:44:10,586 - lightrag - INFO - get_node:query:MATCH (n:`TINY TIM`) RETURN n:result:chunk-90b95db5c53e4364a6bee36b7aa4d70fchunk-83ac129dc9b56f84c46760d153d68e93chunk-7e2e7ebcc19a53b399dc03aded4743e7chunk-19d72c57ae3408758b18d2568e86dc6bchunk-503f0bfa5453467c7c61d160a3540ecachunk-9e3921da66da5d761ab73cd849af6c43chunk-8f738cb25d60a7dab782162d9d0a25edchunk-1d4b58de5429cd1261370c231c8673e8chunk-91572b3cd42786ba4cb2f180ca25cbf4'}> +2024-10-30 06:44:10,589 - lightrag - DEBUG - Trigger summary: "TINY TIM" +2024-10-30 06:44:10,686 - lightrag - INFO - get_node:query:MATCH (n:`MR. FEZZIWIG`) RETURN n:result:"Mr. Fezziwig is a kind-hearted merchant and former employer of Scrooge, representing joy and generosity in contrast to Scrooge\'s character.""Mr. Fezziwig is a kind-hearted merchant and former employer of Scrooge, representing joy and generosity in contrast to Scrooge\'s character.""Mr. Fezziwig is a kind-hearted merchant and former employer of Scrooge, representing joy and generosity in contrast to Scrooge\'s character.""Mr. Fezziwig is a kind-hearted old merchant who served as a mentor to Scrooge, representing generosity and the joy of Christmas through his festive parties."', 'source_id': 'chunk-9e3921da66da5d761ab73cd849af6c43'}> +2024-10-30 06:44:10,820 - lightrag - INFO - _do_upsert:query: + MERGE (n:`MR. FEZZIWIG`) + SET n += $properties + RETURN n + :result:{'entity_type': '"PERSON"', 'description': '"Mr. Fezziwig is a kind-hearted merchant and former employer of Scrooge, representing joy and generosity in contrast to Scrooge\'s character.""Mr. Fezziwig is a kind-hearted merchant and former employer of Scrooge, representing joy and generosity in contrast to Scrooge\'s character.""Mr. Fezziwig is a kind-hearted merchant and former employer of Scrooge, representing joy and generosity in contrast to Scrooge\'s character.""Mr. Fezziwig is a kind-hearted merchant and former employer of Scrooge, representing joy and generosity in contrast to Scrooge\'s character.""Mr. Fezziwig is a kind-hearted merchant and former employer of Scrooge, representing joy and generosity in contrast to Scrooge\'s character.""Mr. Fezziwig is a kind-hearted old merchant who served as a mentor to Scrooge, representing generosity and the joy of Christmas through his festive parties."', 'source_id': 'chunk-9e3921da66da5d761ab73cd849af6c43'} +2024-10-30 06:44:10,951 - lightrag - INFO - get_node:query:MATCH (n:`GHOST OF CHRISTMAS PAST`) RETURN n:result:"The Ghost of Christmas Past is a supernatural entity that aids Scrooge in reflecting on his past experiences and emotions.""The Ghost of Christmas Past is one of the spirits in A Christmas Carol that shows Scrooge his past, prompting reflection and change.""The Ghost of Christmas Past represents a spirit that guides Scrooge to revisit and reflect on his past experiences and memories.""The Ghost of Christmas Past is one of the spirits in A Christmas Carol that shows Scrooge his past, prompting reflection and change.""The Ghost of Christmas Past represents a spirit that guides Scrooge to revisit and reflect on his past experiences and memories.""The Ghost of Christmas Past is one of the spirits in A Christmas Carol that shows Scrooge his past, prompting reflection and change.""The Ghost of Christmas Past represents a spirit that guides Scrooge to revisit and reflect on his past experiences and memories.""The Ghost of Christmas Past is one of the spirits in A Christmas Carol that shows Scrooge his past, prompting reflection and change.""The Ghost of Christmas Past represents a spirit that guides Scrooge to revisit and reflect on his past experiences and memories."', 'source_id': 'chunk-bb21d58d36c6306fd8810ddd51c4a971chunk-9e3921da66da5d761ab73cd849af6c43'}> +2024-10-30 06:44:11,085 - lightrag - INFO - _do_upsert:query: + MERGE (n:`GHOST OF CHRISTMAS PAST`) + SET n += $properties + RETURN n + :result:{'entity_type': '"EVENT"', 'description': '"The Ghost of Christmas Past is a supernatural character that shows Scrooge his past, helping him understand the roots of his current miserliness.""The Ghost of Christmas Past is a supernatural entity that aids Scrooge in reflecting on his past experiences and emotions.""The Ghost of Christmas Past is one of the spirits in A Christmas Carol that shows Scrooge his past, prompting reflection and change.""The Ghost of Christmas Past represents a spirit that guides Scrooge to revisit and reflect on his past experiences and memories.""The Ghost of Christmas Past is one of the spirits in A Christmas Carol that shows Scrooge his past, prompting reflection and change.""The Ghost of Christmas Past represents a spirit that guides Scrooge to revisit and reflect on his past experiences and memories.""The Ghost of Christmas Past is one of the spirits in A Christmas Carol that shows Scrooge his past, prompting reflection and change.""The Ghost of Christmas Past represents a spirit that guides Scrooge to revisit and reflect on his past experiences and memories.""The Ghost of Christmas Past is one of the spirits in A Christmas Carol that shows Scrooge his past, prompting reflection and change.""The Ghost of Christmas Past represents a spirit that guides Scrooge to revisit and reflect on his past experiences and memories.""The Ghost of Christmas Past is one of the spirits in A Christmas Carol that shows Scrooge his past, prompting reflection and change.""The Ghost of Christmas Past represents a spirit that guides Scrooge to revisit and reflect on his past experiences and memories."', 'source_id': 'chunk-9e3921da66da5d761ab73cd849af6c43chunk-bb21d58d36c6306fd8810ddd51c4a971'} +2024-10-30 06:44:11,209 - lightrag - INFO - get_node:query:MATCH (n:`GHOST OF CHRISTMAS PRESENT`) RETURN n:result:"The Ghost of Christmas Present is a spirit that reveals to Scrooge the joys and struggles of the present Christmas season, emphasizing generosity and compassion.""The Ghost of Christmas Present is a spirit that represents generosity and joy, playing a pivotal role in teaching Scrooge valuable lessons about kindness and the Christmas spirit.""The Ghost of Christmas Present is a spirit that reveals the current struggles and joys of others, influencing Scrooge\'s perspective.""The Ghost of Christmas Present is a spirit that represents generosity and joy, playing a pivotal role in teaching Scrooge valuable lessons about kindness and the Christmas spirit.""The Ghost of Christmas Present is a spirit that reveals the current struggles and joys of others, influencing Scrooge\'s perspective.""The Ghost of Christmas Present is a spirit that represents generosity and joy, playing a pivotal role in teaching Scrooge valuable lessons about kindness and the Christmas spirit.""The Ghost of Christmas Present is a spirit that reveals the current struggles and joys of others, influencing Scrooge\'s perspective.""The Ghost of Christmas Present is a spirit that represents generosity and joy, playing a pivotal role in teaching Scrooge valuable lessons about kindness and the Christmas spirit.""The Ghost of Christmas Present is a spirit that reveals the current struggles and joys of others, influencing Scrooge\'s perspective."', 'source_id': 'chunk-843b5b2f944c7413d9ca876e2e2f151fchunk-9e3921da66da5d761ab73cd849af6c43'}> +2024-10-30 06:44:11,342 - lightrag - INFO - _do_upsert:query: + MERGE (n:`GHOST OF CHRISTMAS PRESENT`) + SET n += $properties + RETURN n + :result:{'entity_type': '"EVENT"', 'description': '"The Ghost of Christmas Present is a spirit that embodies generosity and abundance, leading Scrooge to self-reflection and understanding.""The Ghost of Christmas Present is a spirit that reveals to Scrooge the joys and struggles of the present Christmas season, emphasizing generosity and compassion.""The Ghost of Christmas Present is a spirit that represents generosity and joy, playing a pivotal role in teaching Scrooge valuable lessons about kindness and the Christmas spirit.""The Ghost of Christmas Present is a spirit that reveals the current struggles and joys of others, influencing Scrooge\'s perspective.""The Ghost of Christmas Present is a spirit that represents generosity and joy, playing a pivotal role in teaching Scrooge valuable lessons about kindness and the Christmas spirit.""The Ghost of Christmas Present is a spirit that reveals the current struggles and joys of others, influencing Scrooge\'s perspective.""The Ghost of Christmas Present is a spirit that represents generosity and joy, playing a pivotal role in teaching Scrooge valuable lessons about kindness and the Christmas spirit.""The Ghost of Christmas Present is a spirit that reveals the current struggles and joys of others, influencing Scrooge\'s perspective.""The Ghost of Christmas Present is a spirit that represents generosity and joy, playing a pivotal role in teaching Scrooge valuable lessons about kindness and the Christmas spirit.""The Ghost of Christmas Present is a spirit that reveals the current struggles and joys of others, influencing Scrooge\'s perspective.""The Ghost of Christmas Present is a spirit that represents generosity and joy, playing a pivotal role in teaching Scrooge valuable lessons about kindness and the Christmas spirit.""The Ghost of Christmas Present is a spirit that reveals the current struggles and joys of others, influencing Scrooge\'s perspective."', 'source_id': 'chunk-843b5b2f944c7413d9ca876e2e2f151fchunk-9e3921da66da5d761ab73cd849af6c43'} +2024-10-30 06:44:11,474 - lightrag - INFO - get_node:query:MATCH (n:`GHOST OF CHRISTMAS YET TO COME`) RETURN n:result:"The Ghost of Christmas Yet to Come is a foreboding spirit that shows Scrooge the potential consequences of his actions if he does not change.""The Ghost of Christmas Yet to Come is a foreboding spirit that shows Scrooge the potential consequences of his actions if he does not change.""The Ghost of Christmas Yet to Come is a foreboding spirit that shows Scrooge the potential consequences of his actions if he does not change.""The Ghost of Christmas Yet to Come is an apparition that presents Scrooge with a grim vision of his possible future if he doesn\'t change his ways.""The Ghost of Christmas Yet to Come is an event within the story that signifies Scrooge\'s confrontation with the future consequences of his actions.""The Ghost of Christmas Yet to Come signifies a pivotal moment where Scrooge is confronted with the potential futures resulting from his life choices.""The Ghost of Christmas Yet to Come signifies a pivotal moment where Scrooge is confronted with the potential futures resulting from his life choices.""The Ghost of Christmas Yet to Come signifies a pivotal moment where Scrooge is confronted with the potential futures resulting from his life choices.""The Ghost of Christmas Yet to Come signifies a pivotal moment where Scrooge is confronted with the potential futures resulting from his life choices."', 'source_id': 'chunk-9e3921da66da5d761ab73cd849af6c43chunk-02baee20cc9463dbe08170a8e1043e32'}> +2024-10-30 06:44:11,603 - lightrag - INFO - _do_upsert:query: + MERGE (n:`GHOST OF CHRISTMAS YET TO COME`) + SET n += $properties + RETURN n + :result:{'entity_type': '"EVENT"', 'description': '"The Ghost of Christmas Yet to Come is a foreboding spirit that shows Scrooge the potential consequences of his actions if he does not change.""The Ghost of Christmas Yet to Come is a foreboding spirit that shows Scrooge the potential consequences of his actions if he does not change.""The Ghost of Christmas Yet to Come is a foreboding spirit that shows Scrooge the potential consequences of his actions if he does not change.""The Ghost of Christmas Yet to Come is a foreboding spirit that shows Scrooge the potential consequences of his actions if he does not change.""The Ghost of Christmas Yet to Come is a foreboding spirit that shows Scrooge the potential consequences of his actions if he does not change.""The Ghost of Christmas Yet to Come is an apparition that presents Scrooge with a grim vision of his possible future if he doesn\'t change his ways.""The Ghost of Christmas Yet to Come is an event within the story that signifies Scrooge\'s confrontation with the future consequences of his actions.""The Ghost of Christmas Yet to Come signifies a pivotal moment where Scrooge is confronted with the potential futures resulting from his life choices.""The Ghost of Christmas Yet to Come signifies a pivotal moment where Scrooge is confronted with the potential futures resulting from his life choices.""The Ghost of Christmas Yet to Come signifies a pivotal moment where Scrooge is confronted with the potential futures resulting from his life choices.""The Ghost of Christmas Yet to Come signifies a pivotal moment where Scrooge is confronted with the potential futures resulting from his life choices.""The Ghost of Christmas Yet to Come signifies a pivotal moment where Scrooge is confronted with the potential futures resulting from his life choices."', 'source_id': 'chunk-02baee20cc9463dbe08170a8e1043e32chunk-9e3921da66da5d761ab73cd849af6c43'} +2024-10-30 06:44:11,736 - lightrag - INFO - get_node:query:MATCH (n:`FRED`) RETURN n:result:"Fred is Scrooge\'s nephew who expresses admiration for Scrooge and raises a toast to his uncle during a Christmas gathering.""Fred is Scrooge\'s nephew, representing familial love and the joy of Christmas gatherings.""Fred is Scrooge\'s nephew, who invites Scrooge to dinner, emphasizing familial connections and the spirit of Christmas.""Fred is Scrooge\'s nephew, who is surprised by Scrooge\'s visit and is depicted as a friendly figure during the Christmas gathering."Fred is Ebenezer Scrooge\'s lively nephew, who embodies the spirit of Christmas and serves as a striking contrast to Scrooge\'s misanthropic nature. He represents familial love and joy, often inviting Scrooge to family gatherings and emphasizing the importance of familial connections during the holiday season. Fred expresses admiration for his uncle and raises a toast in his honor at Christmas gatherings, showcasing his warmth and festive spirit. His character highlights the warmth of family that Scrooge initially rejects, and he is depicted as a friendly figure who is surprised and pleased by Scrooge\'s unexpected visits. Overall, Fred exemplifies the joy and unity of Christmas, passionately inviting Scrooge to embrace the happiness associated with the holiday and family.', 'source_id': 'chunk-e7637ff18c5ded77a68cce0a87883fadchunk-94bea83e7153fc2064aa382b494936a1chunk-9e3921da66da5d761ab73cd849af6c43chunk-8f738cb25d60a7dab782162d9d0a25edchunk-89777b838d5447c7bd1ec11282c4ee89'}> +2024-10-30 06:44:11,873 - lightrag - INFO - _do_upsert:query: + MERGE (n:`FRED`) + SET n += $properties + RETURN n + :result:{'entity_type': '"PERSON"', 'description': '"Fred is Ebenezer Scrooge\'s nephew, who embodies the spirit of Christmas and represents familial love and joy.""Fred is Ebenezer Scrooge\'s nephew, who embodies the spirit of Christmas and represents familial love and joy.""Fred is Scrooge\'s nephew who expresses admiration for Scrooge and raises a toast to his uncle during a Christmas gathering.""Fred is Scrooge\'s nephew, representing familial love and the joy of Christmas gatherings.""Fred is Scrooge\'s nephew, who invites Scrooge to dinner, emphasizing familial connections and the spirit of Christmas.""Fred is Scrooge\'s nephew, who is surprised by Scrooge\'s visit and is depicted as a friendly figure during the Christmas gathering."Fred is Ebenezer Scrooge\'s lively nephew, who embodies the spirit of Christmas and serves as a striking contrast to Scrooge\'s misanthropic nature. He represents familial love and joy, often inviting Scrooge to family gatherings and emphasizing the importance of familial connections during the holiday season. Fred expresses admiration for his uncle and raises a toast in his honor at Christmas gatherings, showcasing his warmth and festive spirit. His character highlights the warmth of family that Scrooge initially rejects, and he is depicted as a friendly figure who is surprised and pleased by Scrooge\'s unexpected visits. Overall, Fred exemplifies the joy and unity of Christmas, passionately inviting Scrooge to embrace the happiness associated with the holiday and family."Fred is Scrooge\'s nephew who expresses admiration for Scrooge and raises a toast to his uncle during a Christmas gathering.""Fred is Scrooge\'s nephew, representing familial love and the joy of Christmas gatherings.""Fred is Scrooge\'s nephew, who invites Scrooge to dinner, emphasizing familial connections and the spirit of Christmas.""Fred is Scrooge\'s nephew, who is surprised by Scrooge\'s visit and is depicted as a friendly figure during the Christmas gathering."', 'source_id': 'chunk-89777b838d5447c7bd1ec11282c4ee89chunk-e7637ff18c5ded77a68cce0a87883fadchunk-9e3921da66da5d761ab73cd849af6c43chunk-94bea83e7153fc2064aa382b494936a1chunk-8f738cb25d60a7dab782162d9d0a25ed'} +2024-10-30 06:44:12,003 - lightrag - INFO - get_node:query:MATCH (n:`MRS. CRATCHIT`) RETURN n:result:chunk-7e2e7ebcc19a53b399dc03aded4743e7chunk-503f0bfa5453467c7c61d160a3540ecachunk-19d72c57ae3408758b18d2568e86dc6bchunk-9e3921da66da5d761ab73cd849af6c43chunk-b0f459f5af1c3a5e0b92cbe4ee48b77bchunk-91572b3cd42786ba4cb2f180ca25cbf4'}> +2024-10-30 06:44:12,136 - lightrag - INFO - _do_upsert:query: + MERGE (n:`MRS. CRATCHIT`) + SET n += $properties + RETURN n + :result:{'entity_type': '"PERSON"', 'description': '"Mrs. Cratchit is Bob\'s wife, portrayed as devoted and hardworking, striving to create a joyous atmosphere for her family despite limited resources.""Mrs. Cratchit is Bob\'s wife, proud of her cooking skills, particularly the Christmas pudding, and plays a central role in the family\'s holiday celebration.""Mrs. Cratchit is Bob\'s wife, who expresses care for her family and shares in the emotional moments surrounding Tiny Tim\'s health.""Mrs. Cratchit is portrayed as outspoken and resentful towards Scrooge, yet ultimately participates in the Christmas festivities for her family\'s sake.""Mrs. Cratchit is the mother of the Cratchit family, depicted as nurturing and energetic, managing the Christmas preparations and caring for her children.""Mrs. Cratchit is the wife of Bob Cratchit, who supports her family and embodies warmth and resilience despite their struggles.""Mrs. Cratchit, the wife of Bob, is industrious and caring, focused on the well-being of her family."Mrs. Cratchit is Bob Cratchit\'s devoted and hardworking wife, who plays a vital role in nurturing their family. She is characterized by her strong dedication to creating a joyous atmosphere in their home, despite the financial difficulties they face. As the mother of the Cratchit family, Mrs. Cratchit is nurturing and energetic, diligently managing Christmas preparations and ensuring that her children are well taken care of.\n\nProud of her cooking skills, particularly her Christmas pudding, Mrs. Cratchit showcases her commitment to family traditions. During the holiday festivities, she is actively involved, embodying warmth and resilience as she prepares meals and engages in celebrations that lift her family’s spirits. Her love for her family is evident as she expresses concern for her children, especially Tiny Tim, whose health brings emotional depth to their Christmas gathering.\n\nWhile she is portrayed as outspoken and harboring resentment towards Scrooge, she ultimately puts aside her feelings to fully participate in the Christmas festivities for the sake of her family. Her character embodies a blend of strength and vulnerability, reflecting both her pride and her struggles, and she remains a pivotal figure in the family\'s emotional dynamics during the holiday season.', 'source_id': 'chunk-b0f459f5af1c3a5e0b92cbe4ee48b77bchunk-19d72c57ae3408758b18d2568e86dc6bchunk-503f0bfa5453467c7c61d160a3540ecachunk-91572b3cd42786ba4cb2f180ca25cbf4chunk-9e3921da66da5d761ab73cd849af6c43chunk-7e2e7ebcc19a53b399dc03aded4743e7chunk-1d4b58de5429cd1261370c231c8673e8'} +2024-10-30 06:44:12,263 - lightrag - INFO - get_node:query:MATCH (n:`BELINDA CRATCHIT`) RETURN n:result:"Belinda Cratchit is one of Bob Cratchit\'s daughters, assisting her mother in laying the dining cloth.""Belinda is a daughter of Bob and Mrs. Cratchit, representing the Cratchit family\'s love and unity during difficult times.""Belinda Cratchit is one of Bob\'s daughters, assisting in household tasks and showing a strong familial bond.""Belinda is the daughter of Bob and Mrs. Cratchit, representing the innocence and joyful spirit of the Cratchit family.""Belinda Cratchit is one of Bob\'s daughters, assisting in household tasks and showing a strong familial bond.""Belinda is the daughter of Bob and Mrs. Cratchit, representing the innocence and joyful spirit of the Cratchit family.""Belinda Cratchit is one of Bob\'s daughters, assisting in household tasks and showing a strong familial bond.""Belinda is the daughter of Bob and Mrs. Cratchit, representing the innocence and joyful spirit of the Cratchit family.""Belinda Cratchit is one of Bob\'s daughters, assisting in household tasks and showing a strong familial bond.""Belinda is the daughter of Bob and Mrs. Cratchit, representing the innocence and joyful spirit of the Cratchit family."', 'source_id': 'chunk-7e2e7ebcc19a53b399dc03aded4743e7chunk-b0f459f5af1c3a5e0b92cbe4ee48b77bchunk-9e3921da66da5d761ab73cd849af6c43'}> +2024-10-30 06:44:12,393 - lightrag - INFO - _do_upsert:query: + MERGE (n:`BELINDA CRATCHIT`) + SET n += $properties + RETURN n + :result:{'entity_type': '"PERSON"', 'description': '"Belinda Cratchit is another daughter in the Cratchit family, depicted as participating in the festive meal by sweetening the apple sauce, showcasing her involvement in family traditions.""Belinda Cratchit is one of Bob Cratchit\'s daughters, assisting her mother in laying the dining cloth.""Belinda is a daughter of Bob and Mrs. Cratchit, representing the Cratchit family\'s love and unity during difficult times.""Belinda Cratchit is one of Bob\'s daughters, assisting in household tasks and showing a strong familial bond.""Belinda is the daughter of Bob and Mrs. Cratchit, representing the innocence and joyful spirit of the Cratchit family.""Belinda Cratchit is one of Bob\'s daughters, assisting in household tasks and showing a strong familial bond.""Belinda is the daughter of Bob and Mrs. Cratchit, representing the innocence and joyful spirit of the Cratchit family.""Belinda Cratchit is one of Bob\'s daughters, assisting in household tasks and showing a strong familial bond.""Belinda is the daughter of Bob and Mrs. Cratchit, representing the innocence and joyful spirit of the Cratchit family.""Belinda Cratchit is one of Bob\'s daughters, assisting in household tasks and showing a strong familial bond.""Belinda is the daughter of Bob and Mrs. Cratchit, representing the innocence and joyful spirit of the Cratchit family.""Belinda Cratchit is one of Bob\'s daughters, assisting in household tasks and showing a strong familial bond.""Belinda is the daughter of Bob and Mrs. Cratchit, representing the innocence and joyful spirit of the Cratchit family."', 'source_id': 'chunk-7e2e7ebcc19a53b399dc03aded4743e7chunk-9e3921da66da5d761ab73cd849af6c43chunk-b0f459f5af1c3a5e0b92cbe4ee48b77b'} +2024-10-30 06:44:12,520 - lightrag - INFO - get_node:query:MATCH (n:`MARTHA CRATCHIT`) RETURN n:result:"Martha is another daughter of Bob and Mrs. Cratchit, who, like her sister Belinda, symbolizes the warmth and togetherness in the Cratchit household.""Martha Cratchit is a daughter of Bob and Mrs. Cratchit, working as an apprentice at a milliner\'s and looking forward to the holiday for a good rest.""Martha is another daughter of Bob and Mrs. Cratchit, who shows love and care for her family.""Martha Cratchit is a daughter of Bob and Mrs. Cratchit, working as an apprentice at a milliner\'s and looking forward to the holiday for a good rest.""Martha is another daughter of Bob and Mrs. Cratchit, who shows love and care for her family.""Martha Cratchit is a daughter of Bob and Mrs. Cratchit, working as an apprentice at a milliner\'s and looking forward to the holiday for a good rest.""Martha is another daughter of Bob and Mrs. Cratchit, who shows love and care for her family.""Martha Cratchit is a daughter of Bob and Mrs. Cratchit, working as an apprentice at a milliner\'s and looking forward to the holiday for a good rest.""Martha is another daughter of Bob and Mrs. Cratchit, who shows love and care for her family."', 'source_id': 'chunk-7e2e7ebcc19a53b399dc03aded4743e7chunk-19d72c57ae3408758b18d2568e86dc6bchunk-9e3921da66da5d761ab73cd849af6c43'}> +2024-10-30 06:44:12,653 - lightrag - INFO - _do_upsert:query: + MERGE (n:`MARTHA CRATCHIT`) + SET n += $properties + RETURN n + :result:{'entity_type': '"PERSON"', 'description': '"Martha Cratchit is a daughter in the Cratchit family who contributes to the household and shows affection for her family, particularly her father Bob.""Martha is another daughter of Bob and Mrs. Cratchit, who, like her sister Belinda, symbolizes the warmth and togetherness in the Cratchit household.""Martha Cratchit is a daughter of Bob and Mrs. Cratchit, working as an apprentice at a milliner\'s and looking forward to the holiday for a good rest.""Martha is another daughter of Bob and Mrs. Cratchit, who shows love and care for her family.""Martha Cratchit is a daughter of Bob and Mrs. Cratchit, working as an apprentice at a milliner\'s and looking forward to the holiday for a good rest.""Martha is another daughter of Bob and Mrs. Cratchit, who shows love and care for her family.""Martha Cratchit is a daughter of Bob and Mrs. Cratchit, working as an apprentice at a milliner\'s and looking forward to the holiday for a good rest.""Martha is another daughter of Bob and Mrs. Cratchit, who shows love and care for her family.""Martha Cratchit is a daughter of Bob and Mrs. Cratchit, working as an apprentice at a milliner\'s and looking forward to the holiday for a good rest.""Martha is another daughter of Bob and Mrs. Cratchit, who shows love and care for her family.""Martha Cratchit is a daughter of Bob and Mrs. Cratchit, working as an apprentice at a milliner\'s and looking forward to the holiday for a good rest.""Martha is another daughter of Bob and Mrs. Cratchit, who shows love and care for her family."', 'source_id': 'chunk-19d72c57ae3408758b18d2568e86dc6bchunk-7e2e7ebcc19a53b399dc03aded4743e7chunk-9e3921da66da5d761ab73cd849af6c43'} +2024-10-30 06:44:12,780 - lightrag - INFO - get_node:query:MATCH (n:`JOE`) RETURN n:result:"Joe is a marine-store dealer depicted as receiving stolen goods, illustrating the consequences of crime and the darker sides of society.""Joe is portrayed as a character engaged in a conversation about the deceased, displaying a mix of humor and practicality in dealing with the possessions of the dead.""Joe is a character who interacts with others, demonstrating a sense of curiosity and disbelief regarding certain situations and comments.""Joe is a marine-store dealer and receiver of stolen goods, indicative of the darker, more unscrupulous elements of society.""Joe is an old character who engages in conversation about the deceased man\'s belongings, revealing his pragmatic and somewhat cynical perspective on life and death.""Joe is a character who interacts with others, demonstrating a sense of curiosity and disbelief regarding certain situations and comments.""Joe is a marine-store dealer and receiver of stolen goods, indicative of the darker, more unscrupulous elements of society.""Joe is an old character who engages in conversation about the deceased man\'s belongings, revealing his pragmatic and somewhat cynical perspective on life and death.""Joe is a character who interacts with others, demonstrating a sense of curiosity and disbelief regarding certain situations and comments.""Joe is a marine-store dealer and receiver of stolen goods, indicative of the darker, more unscrupulous elements of society.""Joe is an old character who engages in conversation about the deceased man\'s belongings, revealing his pragmatic and somewhat cynical perspective on life and death.""Joe is a character who interacts with others, demonstrating a sense of curiosity and disbelief regarding certain situations and comments.""Joe is a marine-store dealer and receiver of stolen goods, indicative of the darker, more unscrupulous elements of society.""Joe is an old character who engages in conversation about the deceased man\'s belongings, revealing his pragmatic and somewhat cynical perspective on life and death."', 'source_id': 'chunk-89777b838d5447c7bd1ec11282c4ee89chunk-e1f29eeadc1d8ab46dc8a0bbd3c56b64chunk-9e3921da66da5d761ab73cd849af6c43'}> +2024-10-30 06:44:12,908 - lightrag - INFO - _do_upsert:query: + MERGE (n:`JOE`) + SET n += $properties + RETURN n + :result:{'entity_type': '"PERSON"', 'description': '"Joe is a character engaged in a conversation, displaying curiosity and a sense of humor regarding a situation related to \'bed-curtains\'.""Joe is a marine-store dealer depicted as receiving stolen goods, illustrating the consequences of crime and the darker sides of society.""Joe is portrayed as a character engaged in a conversation about the deceased, displaying a mix of humor and practicality in dealing with the possessions of the dead.""Joe is a character who interacts with others, demonstrating a sense of curiosity and disbelief regarding certain situations and comments.""Joe is a marine-store dealer and receiver of stolen goods, indicative of the darker, more unscrupulous elements of society.""Joe is an old character who engages in conversation about the deceased man\'s belongings, revealing his pragmatic and somewhat cynical perspective on life and death.""Joe is a character who interacts with others, demonstrating a sense of curiosity and disbelief regarding certain situations and comments.""Joe is a marine-store dealer and receiver of stolen goods, indicative of the darker, more unscrupulous elements of society.""Joe is an old character who engages in conversation about the deceased man\'s belongings, revealing his pragmatic and somewhat cynical perspective on life and death.""Joe is a character who interacts with others, demonstrating a sense of curiosity and disbelief regarding certain situations and comments.""Joe is a marine-store dealer and receiver of stolen goods, indicative of the darker, more unscrupulous elements of society.""Joe is an old character who engages in conversation about the deceased man\'s belongings, revealing his pragmatic and somewhat cynical perspective on life and death.""Joe is a character who interacts with others, demonstrating a sense of curiosity and disbelief regarding certain situations and comments.""Joe is a marine-store dealer and receiver of stolen goods, indicative of the darker, more unscrupulous elements of society.""Joe is an old character who engages in conversation about the deceased man\'s belongings, revealing his pragmatic and somewhat cynical perspective on life and death.""Joe is a character who interacts with others, demonstrating a sense of curiosity and disbelief regarding certain situations and comments.""Joe is a marine-store dealer and receiver of stolen goods, indicative of the darker, more unscrupulous elements of society.""Joe is an old character who engages in conversation about the deceased man\'s belongings, revealing his pragmatic and somewhat cynical perspective on life and death."', 'source_id': 'chunk-e1f29eeadc1d8ab46dc8a0bbd3c56b64chunk-9e3921da66da5d761ab73cd849af6c43chunk-89777b838d5447c7bd1ec11282c4ee89'} +2024-10-30 06:44:13,040 - lightrag - INFO - get_node:query:MATCH (n:`GHOST OF JACOB MARLEY`) RETURN n:result:"The Ghost of Jacob Marley is the specter of Scrooge\'s former business partner, who warns Scrooge to change his ways.""The Ghost of Jacob Marley is the specter of Scrooge\'s former business partner, who warns Scrooge to change his ways.""The Ghost of Jacob Marley is the specter of Scrooge\'s former business partner, who warns Scrooge to change his ways.""The Ghost of Jacob Marley is the specter of Scrooge\'s former business partner, who warns Scrooge to change his ways."', 'source_id': 'chunk-9e3921da66da5d761ab73cd849af6c43'}> +2024-10-30 06:44:13,170 - lightrag - INFO - _do_upsert:query: + MERGE (n:`GHOST OF JACOB MARLEY`) + SET n += $properties + RETURN n + :result:{'entity_type': '"EVENT"', 'description': '"The Ghost of Jacob Marley is Scrooge\'s deceased business partner who returns as a spirit to warn Scrooge about the consequences of his life choices and to encourage change.""The Ghost of Jacob Marley is the specter of Scrooge\'s former business partner, who warns Scrooge to change his ways.""The Ghost of Jacob Marley is the specter of Scrooge\'s former business partner, who warns Scrooge to change his ways.""The Ghost of Jacob Marley is the specter of Scrooge\'s former business partner, who warns Scrooge to change his ways.""The Ghost of Jacob Marley is the specter of Scrooge\'s former business partner, who warns Scrooge to change his ways.""The Ghost of Jacob Marley is the specter of Scrooge\'s former business partner, who warns Scrooge to change his ways."', 'source_id': 'chunk-9e3921da66da5d761ab73cd849af6c43'} +2024-10-30 06:44:13,291 - lightrag - INFO - get_node:query:MATCH (n:`FAN`) RETURN n:result:"Fan is Ebenezer Scrooge\'s sister, who represents love and kindness from Scrooge\'s past, influencing his character development.""Fan is Ebenezer Scrooge\'s sister, who represents love and kindness from Scrooge\'s past, influencing his character development.""Fan is Ebenezer Scrooge\'s sister, who represents love and kindness from Scrooge\'s past, influencing his character development.""Fan is Scrooge\'s caring sister who represents innocence and love, showcasing a more tender side of Scrooge’s past.""Fan is Scrooge\'s younger sister, who brings joy and the promise of a happier home, reflecting on their childhood relationship.""Fan is Scrooge\'s younger sister, who brings joy and the promise of a happier home, reflecting on their childhood relationship.""Fan is Scrooge\'s younger sister, who brings joy and the promise of a happier home, reflecting on their childhood relationship.""Fan is Scrooge\'s younger sister, who brings joy and the promise of a happier home, reflecting on their childhood relationship."', 'source_id': 'chunk-9e3921da66da5d761ab73cd849af6c43chunk-c6c248858d1b13ab7ee9ca13c1aeed6b'}> +2024-10-30 06:44:13,418 - lightrag - INFO - _do_upsert:query: + MERGE (n:`FAN`) + SET n += $properties + RETURN n + :result:{'entity_type': '"PERSON"', 'description': '"Fan is Ebenezer Scrooge\'s sister, who represents love and kindness from Scrooge\'s past, influencing his character development.""Fan is Ebenezer Scrooge\'s sister, who represents love and kindness from Scrooge\'s past, influencing his character development.""Fan is Ebenezer Scrooge\'s sister, who represents love and kindness from Scrooge\'s past, influencing his character development.""Fan is Ebenezer Scrooge\'s sister, who represents love and kindness from Scrooge\'s past, influencing his character development.""Fan is Ebenezer Scrooge\'s sister, who represents love and kindness from Scrooge\'s past, influencing his character development.""Fan is Scrooge\'s caring sister who represents innocence and love, showcasing a more tender side of Scrooge’s past.""Fan is Scrooge\'s younger sister, who brings joy and the promise of a happier home, reflecting on their childhood relationship.""Fan is Scrooge\'s younger sister, who brings joy and the promise of a happier home, reflecting on their childhood relationship.""Fan is Scrooge\'s younger sister, who brings joy and the promise of a happier home, reflecting on their childhood relationship.""Fan is Scrooge\'s younger sister, who brings joy and the promise of a happier home, reflecting on their childhood relationship.""Fan is Scrooge\'s younger sister, who brings joy and the promise of a happier home, reflecting on their childhood relationship."', 'source_id': 'chunk-c6c248858d1b13ab7ee9ca13c1aeed6bchunk-9e3921da66da5d761ab73cd849af6c43'} +2024-10-30 06:44:13,544 - lightrag - INFO - get_node:query:MATCH (n:`MRS. FEZZIWIG`) RETURN n:result:"Mrs. Fezziwig is the kind partner of Mr. Fezziwig, contributing to the festive atmosphere of their celebrations, emphasizing the importance of joyous gatherings.""Mrs. Fezziwig is the wife of Fezziwig, joining him in celebrations and dances, embodying warmth and partnership.""Mrs. Fezziwig is the wife of Fezziwig, participating in the dance, representing companionship and festive cheer.""Mrs. Fezziwig is noted for her smile and participation in the festivities, particularly in dancing with Fezziwig.""Mrs. Fezziwig is the partner of Mr. Fezziwig, known for her warmth and joyous nature during Christmas celebrations.""Mrs. Fezziwig partners with Fezziwig in hosting the domestic ball, contributing to the warmth and cheer of the event.""Mrs. Fezziwig is noted for her smile and participation in the festivities, particularly in dancing with Fezziwig.""Mrs. Fezziwig is the partner of Mr. Fezziwig, known for her warmth and joyous nature during Christmas celebrations.""Mrs. Fezziwig partners with Fezziwig in hosting the domestic ball, contributing to the warmth and cheer of the event.""Mrs. Fezziwig is noted for her smile and participation in the festivities, particularly in dancing with Fezziwig.""Mrs. Fezziwig is the partner of Mr. Fezziwig, known for her warmth and joyous nature during Christmas celebrations.""Mrs. Fezziwig partners with Fezziwig in hosting the domestic ball, contributing to the warmth and cheer of the event.""Mrs. Fezziwig is noted for her smile and participation in the festivities, particularly in dancing with Fezziwig.""Mrs. Fezziwig is the partner of Mr. Fezziwig, known for her warmth and joyous nature during Christmas celebrations.""Mrs. Fezziwig partners with Fezziwig in hosting the domestic ball, contributing to the warmth and cheer of the event."', 'source_id': 'chunk-b2f98bc7abb0c67d4c86055c7fd72218chunk-89777b838d5447c7bd1ec11282c4ee89chunk-9e3921da66da5d761ab73cd849af6c43chunk-8bc1edd983869352d14cf0886a9175a7'}> +2024-10-30 06:44:13,546 - lightrag - DEBUG - Trigger summary: "MRS. FEZZIWIG" +2024-10-30 06:44:13,643 - lightrag - INFO - get_node:query:MATCH (n:`FEZZIWIG`) RETURN n:result:"Fezziwig is a joyful and lively character who dances with Mrs. Fezziwig, embodying the festive spirit of Christmas.""Fezziwig is presented as Scrooge\'s former employer, known for his jovial nature and generous spirit, who plays a significant role in Scrooge\'s memories.""Fezziwig is the owner of a business where festive celebrations take place, known for his jovial character and ability to create a lively atmosphere."Fezziwig is a character renowned for his role as a joyful and jovial employer who hosts domestic balls, creating an atmosphere filled with happiness and merriment for his participants. He is depicted as a kind-hearted figure who organizes lively Christmas festivities for his employees, exemplifying kindness and generosity. Fezziwig plays a significant role in the memories of Ebenezer Scrooge, being portrayed as his former employer who embodies the true spirit of Christmas.\n\nHe is often seen dancing with his wife, Mrs. Fezziwig, which further illustrates his cheerful nature and the festive spirit surrounding the celebrations. As the owner of a business where these vibrant festivities take place, Fezziwig is celebrated for his ability to create a lively and joyful environment, leaving a lasting impression on those who encounter him during the festive seasons. His portrayal encapsulates the essence of joy, generosity, and the festive spirit, making him a beloved character in the narrative of Scrooge\'s past.', 'source_id': 'chunk-89777b838d5447c7bd1ec11282c4ee89chunk-b2f98bc7abb0c67d4c86055c7fd72218chunk-8bc1edd983869352d14cf0886a9175a7chunk-c6c248858d1b13ab7ee9ca13c1aeed6b'}> +2024-10-30 06:44:13,775 - lightrag - INFO - _do_upsert:query: + MERGE (n:`FEZZIWIG`) + SET n += $properties + RETURN n + :result:{'entity_type': '"PERSON"', 'description': '"Fezziwig is a character known for hosting a domestic ball that brings joy and merriment to the participants, showcasing his ability to create happiness.""Fezziwig is a character known for hosting a domestic ball that brings joy and merriment to the participants, showcasing his ability to create happiness.""Fezziwig is a joyful and lively character who dances with Mrs. Fezziwig, embodying the festive spirit of Christmas.""Fezziwig is presented as Scrooge\'s former employer, known for his jovial nature and generous spirit, who plays a significant role in Scrooge\'s memories.""Fezziwig is the owner of a business where festive celebrations take place, known for his jovial character and ability to create a lively atmosphere."Fezziwig is a character renowned for his role as a joyful and jovial employer who hosts domestic balls, creating an atmosphere filled with happiness and merriment for his participants. He is depicted as a kind-hearted figure who organizes lively Christmas festivities for his employees, exemplifying kindness and generosity. Fezziwig plays a significant role in the memories of Ebenezer Scrooge, being portrayed as his former employer who embodies the true spirit of Christmas.\n\nHe is often seen dancing with his wife, Mrs. Fezziwig, which further illustrates his cheerful nature and the festive spirit surrounding the celebrations. As the owner of a business where these vibrant festivities take place, Fezziwig is celebrated for his ability to create a lively and joyful environment, leaving a lasting impression on those who encounter him during the festive seasons. His portrayal encapsulates the essence of joy, generosity, and the festive spirit, making him a beloved character in the narrative of Scrooge\'s past."Fezziwig is a joyful and lively character who dances with Mrs. Fezziwig, embodying the festive spirit of Christmas.""Fezziwig is presented as Scrooge\'s former employer, known for his jovial nature and generous spirit, who plays a significant role in Scrooge\'s memories.""Fezziwig is the owner of a business where festive celebrations take place, known for his jovial character and ability to create a lively atmosphere."', 'source_id': 'chunk-b2f98bc7abb0c67d4c86055c7fd72218chunk-c6c248858d1b13ab7ee9ca13c1aeed6bchunk-8bc1edd983869352d14cf0886a9175a7chunk-89777b838d5447c7bd1ec11282c4ee89'} +2024-10-30 06:44:13,903 - lightrag - INFO - get_node:query:MATCH (n:`SCROOGE`) RETURN n:result:chunk-90d5764e301321c087f5a8f78b73a145chunk-90b95db5c53e4364a6bee36b7aa4d70fchunk-5dac41b3f9eeaf794f0147400b1718cdchunk-d9aac3484185ac66045df92214d245d5chunk-359187e7571bda4b0b08b2e0b6581e52chunk-8f738cb25d60a7dab782162d9d0a25edchunk-89777b838d5447c7bd1ec11282c4ee89chunk-b2f98bc7abb0c67d4c86055c7fd72218chunk-cb661c37436355ccec2769b1d0350c5fchunk-8590d9263cd2cd4fa583c432fc54e6c3chunk-94bea83e7153fc2064aa382b494936a1chunk-83ac129dc9b56f84c46760d153d68e93chunk-91614df5cb74cbe5e109a338a82041e9chunk-19d72c57ae3408758b18d2568e86dc6bchunk-c7b10789a9cb0af6c553730b29bd9034chunk-bb21d58d36c6306fd8810ddd51c4a971chunk-43c9bee23adfa77aa9dedd22401bba7dchunk-f1a4fbcf1ed86864b9bfd5e8dba4c683chunk-773d0df1dd25c356f7b771d780583e09chunk-e7637ff18c5ded77a68cce0a87883fadchunk-da2472b4ef2a535b62908f14d0fb0ca9chunk-54bdd22db1f84a965b5f4c06c9216d8dchunk-74e2466de2f67fd710ef2f20c0a8d9e0chunk-99b0ec7f7e006561352b5d65e849611dchunk-91572b3cd42786ba4cb2f180ca25cbf4chunk-c6c248858d1b13ab7ee9ca13c1aeed6bchunk-9c43dac2fcd5b578242d907ea6f8fc7bchunk-843b5b2f944c7413d9ca876e2e2f151fchunk-e1f29eeadc1d8ab46dc8a0bbd3c56b64chunk-503f0bfa5453467c7c61d160a3540ecachunk-02baee20cc9463dbe08170a8e1043e32chunk-b0f459f5af1c3a5e0b92cbe4ee48b77b'}> +2024-10-30 06:44:13,907 - lightrag - DEBUG - Trigger summary: "SCROOGE" +2024-10-30 06:44:14,004 - lightrag - INFO - get_node:query:MATCH (n:`MARLEY`) RETURN n:result:"Marley is Scrooge\'s deceased business partner, whose death is a significant event that sets the tone for the story.""Marley is Scrooge\'s deceased business partner, whose death is mentioned as impactful, having passed seven years prior to the events in the text.""Marley is depicted as a ghost, having a pigtail, waistcoat, tights, and boots, and is central to Scrooge\'s haunting experience."Marley is Scrooge\'s deceased business partner, whose presence looms over the narrative of the story, symbolizing the dire consequences of a life lived without compassion and care for others. His death serves as a significant event that sets the tone for the plot and reflects the overarching themes of regret and the supernatural.\n\nMarley passed away seven years prior to the events depicted, making his spectral appearance even more impactful. Despite being a character who is only mentioned throughout much of the story, his influence on Scrooge is profound, as reflections and memories of Marley shape Scrooge\'s perspective on life and relationships. This ghostly figure is depicted distinctly with a pigtail, waistcoat, tights, and boots, making him central to Scrooge\'s haunting experience.\n\nOverall, Marley represents the weight of past actions and the importance of empathy, acting as a harbinger of transformation for Scrooge. His ghostly manifestation evokes both fear and introspection, ultimately contributing to the moral lessons embedded in the tale.', 'source_id': 'chunk-9c43dac2fcd5b578242d907ea6f8fc7bchunk-843b5b2f944c7413d9ca876e2e2f151fchunk-5dac41b3f9eeaf794f0147400b1718cdchunk-d9aac3484185ac66045df92214d245d5chunk-89777b838d5447c7bd1ec11282c4ee89'}> +2024-10-30 06:44:14,134 - lightrag - INFO - _do_upsert:query: + MERGE (n:`MARLEY`) + SET n += $properties + RETURN n + :result:{'entity_type': '"PERSON"', 'description': '"Marley is Scrooge\'s deceased business partner whose presence looms over the story, symbolizing the consequences of a life similar to Scrooge\'s.""Marley is Scrooge\'s deceased business partner whose presence looms over the story, symbolizing the consequences of a life similar to Scrooge\'s.""Marley is Scrooge\'s deceased business partner, whose death is a significant event that sets the tone for the story.""Marley is Scrooge\'s deceased business partner, whose death is mentioned as impactful, having passed seven years prior to the events in the text.""Marley is depicted as a ghost, having a pigtail, waistcoat, tights, and boots, and is central to Scrooge\'s haunting experience."Marley is Scrooge\'s deceased business partner, whose presence looms over the narrative of the story, symbolizing the dire consequences of a life lived without compassion and care for others. His death serves as a significant event that sets the tone for the plot and reflects the overarching themes of regret and the supernatural.\n\nMarley passed away seven years prior to the events depicted, making his spectral appearance even more impactful. Despite being a character who is only mentioned throughout much of the story, his influence on Scrooge is profound, as reflections and memories of Marley shape Scrooge\'s perspective on life and relationships. This ghostly figure is depicted distinctly with a pigtail, waistcoat, tights, and boots, making him central to Scrooge\'s haunting experience.\n\nOverall, Marley represents the weight of past actions and the importance of empathy, acting as a harbinger of transformation for Scrooge. His ghostly manifestation evokes both fear and introspection, ultimately contributing to the moral lessons embedded in the tale."Marley is Scrooge\'s deceased business partner, whose death is a significant event that sets the tone for the story.""Marley is Scrooge\'s deceased business partner, whose death is mentioned as impactful, having passed seven years prior to the events in the text.""Marley is depicted as a ghost, having a pigtail, waistcoat, tights, and boots, and is central to Scrooge\'s haunting experience."', 'source_id': 'chunk-5dac41b3f9eeaf794f0147400b1718cdchunk-89777b838d5447c7bd1ec11282c4ee89chunk-d9aac3484185ac66045df92214d245d5chunk-9c43dac2fcd5b578242d907ea6f8fc7bchunk-843b5b2f944c7413d9ca876e2e2f151f'} +2024-10-30 06:44:14,259 - lightrag - INFO - get_node:query:MATCH (n:`CHRISTMAS`) RETURN n:result:chunk-5dac41b3f9eeaf794f0147400b1718cdchunk-8f738cb25d60a7dab782162d9d0a25edchunk-89777b838d5447c7bd1ec11282c4ee89chunk-8590d9263cd2cd4fa583c432fc54e6c3chunk-94bea83e7153fc2064aa382b494936a1chunk-91614df5cb74cbe5e109a338a82041e9chunk-43c9bee23adfa77aa9dedd22401bba7dchunk-773d0df1dd25c356f7b771d780583e09chunk-e7637ff18c5ded77a68cce0a87883fadchunk-da2472b4ef2a535b62908f14d0fb0ca9chunk-54bdd22db1f84a965b5f4c06c9216d8dchunk-74e2466de2f67fd710ef2f20c0a8d9e0chunk-99b0ec7f7e006561352b5d65e849611dchunk-1d4b58de5429cd1261370c231c8673e8chunk-91572b3cd42786ba4cb2f180ca25cbf4chunk-c6c248858d1b13ab7ee9ca13c1aeed6bchunk-503f0bfa5453467c7c61d160a3540ecachunk-02baee20cc9463dbe08170a8e1043e32'}> +2024-10-30 06:44:14,266 - lightrag - DEBUG - Trigger summary: "CHRISTMAS" +2024-10-30 06:44:14,362 - lightrag - INFO - get_node:query:MATCH (n:`THE WAREHOUSE`) RETURN n:result:"The Warehouse is the setting for Fezziwig\'s celebrations, transformed into a ballroom for the festivities.""The Warehouse is the place of business shared by Scrooge and Marley, a symbol of their partnership in life and business.""The Warehouse serves as the setting for Scrooge\'s memories of Fezziwig\'s jovial nature and the lively gatherings during his apprenticeship.""The Warehouse is the place of business shared by Scrooge and Marley, a symbol of their partnership in life and business.""The Warehouse serves as the setting for Scrooge\'s memories of Fezziwig\'s jovial nature and the lively gatherings during his apprenticeship.""The Warehouse is the place of business shared by Scrooge and Marley, a symbol of their partnership in life and business.""The Warehouse serves as the setting for Scrooge\'s memories of Fezziwig\'s jovial nature and the lively gatherings during his apprenticeship.""The Warehouse is the place of business shared by Scrooge and Marley, a symbol of their partnership in life and business.""The Warehouse serves as the setting for Scrooge\'s memories of Fezziwig\'s jovial nature and the lively gatherings during his apprenticeship."', 'source_id': 'chunk-89777b838d5447c7bd1ec11282c4ee89chunk-8bc1edd983869352d14cf0886a9175a7chunk-c6c248858d1b13ab7ee9ca13c1aeed6b'}> +2024-10-30 06:44:14,490 - lightrag - INFO - _do_upsert:query: + MERGE (n:`THE WAREHOUSE`) + SET n += $properties + RETURN n + :result:{'entity_type': '"ORGANIZATION"', 'description': '"The Warehouse is a specific location where Scrooge had previously apprenticed and holds significant memories for him.""The Warehouse is the setting for Fezziwig\'s celebrations, transformed into a ballroom for the festivities.""The Warehouse is the place of business shared by Scrooge and Marley, a symbol of their partnership in life and business.""The Warehouse serves as the setting for Scrooge\'s memories of Fezziwig\'s jovial nature and the lively gatherings during his apprenticeship.""The Warehouse is the place of business shared by Scrooge and Marley, a symbol of their partnership in life and business.""The Warehouse serves as the setting for Scrooge\'s memories of Fezziwig\'s jovial nature and the lively gatherings during his apprenticeship.""The Warehouse is the place of business shared by Scrooge and Marley, a symbol of their partnership in life and business.""The Warehouse serves as the setting for Scrooge\'s memories of Fezziwig\'s jovial nature and the lively gatherings during his apprenticeship.""The Warehouse is the place of business shared by Scrooge and Marley, a symbol of their partnership in life and business.""The Warehouse serves as the setting for Scrooge\'s memories of Fezziwig\'s jovial nature and the lively gatherings during his apprenticeship.""The Warehouse is the place of business shared by Scrooge and Marley, a symbol of their partnership in life and business.""The Warehouse serves as the setting for Scrooge\'s memories of Fezziwig\'s jovial nature and the lively gatherings during his apprenticeship."', 'source_id': 'chunk-c6c248858d1b13ab7ee9ca13c1aeed6bchunk-8bc1edd983869352d14cf0886a9175a7chunk-89777b838d5447c7bd1ec11282c4ee89'} +2024-10-30 06:44:14,619 - lightrag - INFO - get_node:query:MATCH (n:`THE WOMAN`) RETURN n:result:"The Woman is a character involved in the dialogue about the deceased\'s belongings, showing a carefree attitude towards their former owner.""The Woman is a character who enters the shop with a heavy bundle and demonstrates a bold and defiant demeanor, eager to take part in the conversation about the deceased\'s belongings.""The Woman engages in conversation with Joe, providing light-hearted responses and laughing at the absurdity of their discussions.""The Woman is an unknown character, bold and defiant, who instigates the gathering and discusses the deceased with a lack of reverence.""The Woman is another character who interacts with Joe, demonstrating a lack of reverence for the deceased and a focus on material gain.""The Woman engages in conversation with Joe, providing light-hearted responses and laughing at the absurdity of their discussions.""The Woman is an unknown character, bold and defiant, who instigates the gathering and discusses the deceased with a lack of reverence.""The Woman is another character who interacts with Joe, demonstrating a lack of reverence for the deceased and a focus on material gain.""The Woman engages in conversation with Joe, providing light-hearted responses and laughing at the absurdity of their discussions.""The Woman is an unknown character, bold and defiant, who instigates the gathering and discusses the deceased with a lack of reverence.""The Woman is another character who interacts with Joe, demonstrating a lack of reverence for the deceased and a focus on material gain.""The Woman engages in conversation with Joe, providing light-hearted responses and laughing at the absurdity of their discussions.""The Woman is an unknown character, bold and defiant, who instigates the gathering and discusses the deceased with a lack of reverence.""The Woman is another character who interacts with Joe, demonstrating a lack of reverence for the deceased and a focus on material gain."', 'source_id': 'chunk-89777b838d5447c7bd1ec11282c4ee89chunk-e1f29eeadc1d8ab46dc8a0bbd3c56b64chunk-60fc063c79fc0d4acc91a57e79de04dc'}> +2024-10-30 06:44:14,622 - lightrag - DEBUG - Trigger summary: "THE WOMAN" +2024-10-30 06:44:14,722 - lightrag - INFO - get_node:query:MATCH (n:`TIM`) RETURN n:result: +2024-10-30 06:44:14,857 - lightrag - INFO - _do_upsert:query: + MERGE (n:`TIM`) + SET n += $properties + RETURN n + :result:{'entity_type': '"PERSON"', 'description': '"Tim is mentioned as someone important to Scrooge, indicating familial ties and possibly evoking sympathy and regret from Scrooge\'s character."', 'source_id': 'chunk-89777b838d5447c7bd1ec11282c4ee89'} +2024-10-30 06:44:14,987 - lightrag - INFO - get_node:query:MATCH (n:`THE LACE TUCKER`) RETURN n:result:"The Lace Tucker is a fashionable accessory worn by one of Scrooge\'s Niece\'s sisters, representing the social settings and themes of appearance in the gathering.""The Lace Tucker is a fashionable accessory worn by one of Scrooge\'s Niece\'s sisters, representing the social settings and themes of appearance in the gathering.""The Lace Tucker is a fashionable accessory worn by one of Scrooge\'s Niece\'s sisters, representing the social settings and themes of appearance in the gathering.""The Lace Tucker is a small event within the text, illustrating moments of humor and social interactions among characters.""The Lace Tucker is a small event within the text, illustrating moments of humor and social interactions among characters.""The Lace Tucker is a small event within the text, illustrating moments of humor and social interactions among characters.""The Lace Tucker is a small event within the text, illustrating moments of humor and social interactions among characters."', 'source_id': 'chunk-89777b838d5447c7bd1ec11282c4ee89chunk-773d0df1dd25c356f7b771d780583e09'}> +2024-10-30 06:44:15,124 - lightrag - INFO - _do_upsert:query: + MERGE (n:`THE LACE TUCKER`) + SET n += $properties + RETURN n + :result:{'entity_type': '"EVENT"', 'description': '"The Lace Tucker is a fashionable accessory worn by one of Scrooge\'s Niece\'s sisters, representing the social settings and themes of appearance in the gathering.""The Lace Tucker is a fashionable accessory worn by one of Scrooge\'s Niece\'s sisters, representing the social settings and themes of appearance in the gathering.""The Lace Tucker is a fashionable accessory worn by one of Scrooge\'s Niece\'s sisters, representing the social settings and themes of appearance in the gathering.""The Lace Tucker is a fashionable accessory worn by one of Scrooge\'s Niece\'s sisters, representing the social settings and themes of appearance in the gathering.""The Lace Tucker is a fashionable accessory worn by one of Scrooge\'s Niece\'s sisters, representing the social settings and themes of appearance in the gathering.""The Lace Tucker is a small event within the text, illustrating moments of humor and social interactions among characters.""The Lace Tucker is a small event within the text, illustrating moments of humor and social interactions among characters.""The Lace Tucker is a small event within the text, illustrating moments of humor and social interactions among characters.""The Lace Tucker is a small event within the text, illustrating moments of humor and social interactions among characters.""The Lace Tucker is a small event within the text, illustrating moments of humor and social interactions among characters."', 'source_id': 'chunk-773d0df1dd25c356f7b771d780583e09chunk-89777b838d5447c7bd1ec11282c4ee89'} +2024-10-30 06:44:15,255 - lightrag - INFO - get_node:query:MATCH (n:`OLD SCROOGE`) RETURN n:result: +2024-10-30 06:44:15,385 - lightrag - INFO - _do_upsert:query: + MERGE (n:`OLD SCROOGE`) + SET n += $properties + RETURN n + :result:{'entity_type': '"PERSON"', 'description': '"Old Scrooge represents an earlier version of Scrooge, depicted in memories or recollections and emphasizing his character\'s history."', 'source_id': 'chunk-89777b838d5447c7bd1ec11282c4ee89'} +2024-10-30 06:44:15,510 - lightrag - INFO - get_node:query:MATCH (n:`THE FUNERAL`) RETURN n:result:"The Funeral is a context for conversation among characters, reflecting on mortality and social connections surrounding death.""The Funeral is a context for conversation among characters, reflecting on mortality and social connections surrounding death.""The Funeral is a context for conversation among characters, reflecting on mortality and social connections surrounding death.""The Funeral of Marley is a significant event that highlights Scrooge\'s relationship with Marley and sets the tone for their partnership and Scrooge\'s eventual path.""The Funeral serves as a significant event reflecting on Marley\'s death, noted for its business-like atmosphere as perceived by Scrooge.""The Funeral of Marley is a significant event that highlights Scrooge\'s relationship with Marley and sets the tone for their partnership and Scrooge\'s eventual path.""The Funeral of Marley is a significant event that highlights Scrooge\'s relationship with Marley and sets the tone for their partnership and Scrooge\'s eventual path.""The Funeral of Marley is a significant event that highlights Scrooge\'s relationship with Marley and sets the tone for their partnership and Scrooge\'s eventual path."', 'source_id': 'chunk-f1a4fbcf1ed86864b9bfd5e8dba4c683chunk-89777b838d5447c7bd1ec11282c4ee89'}> +2024-10-30 06:44:15,646 - lightrag - INFO - _do_upsert:query: + MERGE (n:`THE FUNERAL`) + SET n += $properties + RETURN n + :result:{'entity_type': '"EVENT"', 'description': '"The Funeral is a context for conversation among characters, reflecting on mortality and social connections surrounding death.""The Funeral is a context for conversation among characters, reflecting on mortality and social connections surrounding death.""The Funeral is a context for conversation among characters, reflecting on mortality and social connections surrounding death.""The Funeral is a context for conversation among characters, reflecting on mortality and social connections surrounding death.""The Funeral is a context for conversation among characters, reflecting on mortality and social connections surrounding death.""The Funeral of Marley is a significant event that highlights Scrooge\'s relationship with Marley and sets the tone for their partnership and Scrooge\'s eventual path.""The Funeral serves as a significant event reflecting on Marley\'s death, noted for its business-like atmosphere as perceived by Scrooge.""The Funeral of Marley is a significant event that highlights Scrooge\'s relationship with Marley and sets the tone for their partnership and Scrooge\'s eventual path.""The Funeral of Marley is a significant event that highlights Scrooge\'s relationship with Marley and sets the tone for their partnership and Scrooge\'s eventual path.""The Funeral of Marley is a significant event that highlights Scrooge\'s relationship with Marley and sets the tone for their partnership and Scrooge\'s eventual path.""The Funeral of Marley is a significant event that highlights Scrooge\'s relationship with Marley and sets the tone for their partnership and Scrooge\'s eventual path."', 'source_id': 'chunk-f1a4fbcf1ed86864b9bfd5e8dba4c683chunk-89777b838d5447c7bd1ec11282c4ee89'} +2024-10-30 06:44:15,775 - lightrag - INFO - get_node:query:MATCH (n:`SCROOGE'S NEPHEW`) RETURN n:result:chunk-74e2466de2f67fd710ef2f20c0a8d9e0chunk-5dac41b3f9eeaf794f0147400b1718cdchunk-43c9bee23adfa77aa9dedd22401bba7dchunk-773d0df1dd25c356f7b771d780583e09'}> +2024-10-30 06:44:15,905 - lightrag - INFO - _do_upsert:query: + MERGE (n:`SCROOGE'S NEPHEW`) + SET n += $properties + RETURN n + :result:{'entity_type': '"PERSON"', 'description': '"Scrooge\'s Nephew is a cheerful and optimistic character who challenges Scrooge\'s gloomy outlook on Christmas and life.""Scrooge\'s Nephew is a jovial character known for his infectious laughter and optimistic attitude towards Christmas, finding humor in Scrooge\'s ill temper and wealth.""Scrooge\'s Nephew is portrayed as warm-hearted and attempts to engage his uncle in the spirit of Christmas, despite Scrooge\'s rebuff.""Scrooge\'s nephew is portrayed as a joyful character who embodies laughter and good-humor, contrasting with Scrooge\'s initial persona."Scrooge\'s Nephew is a cheerful and optimistic character who embodies the spirit of Christmas, consistently challenging his uncle Scrooge\'s gloomy outlook on both Christmas and life. He is characterized by his contagious laughter and good humor, starkly contrasting with Scrooge\'s miserliness and pessimism. This jovial character actively participates in family gatherings, engaging in games and displaying a joyful demeanor. He finds humor in Scrooge\'s ill temper and wealth, often emphasizing the positive qualities of Christmas despite his uncle\'s negativity. Warm-hearted and determined, Scrooge\'s Nephew makes repeated attempts to involve Scrooge in the festive spirit, even in the face of his uncle\'s rebuffs. Overall, he represents a vibrant spirit of joy and laughter, serving as a lively counterpoint to Scrooge\'s initial persona.', 'source_id': 'chunk-43c9bee23adfa77aa9dedd22401bba7dchunk-5dac41b3f9eeaf794f0147400b1718cdchunk-74e2466de2f67fd710ef2f20c0a8d9e0chunk-91614df5cb74cbe5e109a338a82041e9chunk-773d0df1dd25c356f7b771d780583e09'} +2024-10-30 06:44:16,032 - lightrag - INFO - get_node:query:MATCH (n:`COUNTING-HOUSE`) RETURN n:result:"Scrooge\'s counting-house is the place of his work, characterized by coldness and a lack of warmth or holiday spirit.""Scrooge\'s counting-house is the place of his work, characterized by coldness and a lack of warmth or holiday spirit.""Scrooge\'s counting-house is the place of his work, characterized by coldness and a lack of warmth or holiday spirit.""The Counting-House is a physical space representing the business environment where Scrooge and Marley engaged in trade but also symbolizes their limited worldview.""The Counting-house is the place where Scrooge conducted his business and represents the limitations of his previous life.""The Counting-house is the place where Scrooge conducted his business and represents the limitations of his previous life.""The Counting-house is the place where Scrooge conducted his business and represents the limitations of his previous life.""The Counting-house is the place where Scrooge conducted his business and represents the limitations of his previous life."', 'source_id': 'chunk-74e2466de2f67fd710ef2f20c0a8d9e0chunk-359187e7571bda4b0b08b2e0b6581e52'}> +2024-10-30 06:44:16,166 - lightrag - INFO - _do_upsert:query: + MERGE (n:`COUNTING-HOUSE`) + SET n += $properties + RETURN n + :result:{'entity_type': '"LOCATION"', 'description': '"Scrooge\'s counting-house is the place of his work, characterized by coldness and a lack of warmth or holiday spirit.""Scrooge\'s counting-house is the place of his work, characterized by coldness and a lack of warmth or holiday spirit.""Scrooge\'s counting-house is the place of his work, characterized by coldness and a lack of warmth or holiday spirit.""Scrooge\'s counting-house is the place of his work, characterized by coldness and a lack of warmth or holiday spirit.""Scrooge\'s counting-house is the place of his work, characterized by coldness and a lack of warmth or holiday spirit.""The Counting-House is a physical space representing the business environment where Scrooge and Marley engaged in trade but also symbolizes their limited worldview.""The Counting-house is the place where Scrooge conducted his business and represents the limitations of his previous life.""The Counting-house is the place where Scrooge conducted his business and represents the limitations of his previous life.""The Counting-house is the place where Scrooge conducted his business and represents the limitations of his previous life.""The Counting-house is the place where Scrooge conducted his business and represents the limitations of his previous life.""The Counting-house is the place where Scrooge conducted his business and represents the limitations of his previous life."', 'source_id': 'chunk-359187e7571bda4b0b08b2e0b6581e52chunk-74e2466de2f67fd710ef2f20c0a8d9e0'} +2024-10-30 06:44:16,292 - lightrag - INFO - get_node:query:MATCH (n:`BEGGARS`) RETURN n:result: +2024-10-30 06:44:16,422 - lightrag - INFO - _do_upsert:query: + MERGE (n:`BEGGARS`) + SET n += $properties + RETURN n + :result:{'entity_type': '"PERSON"', 'description': '"Beggars are individuals who implore Scrooge for charity, symbolizing the lack of compassion and generosity in his character."', 'source_id': 'chunk-74e2466de2f67fd710ef2f20c0a8d9e0'} +2024-10-30 06:44:16,547 - lightrag - INFO - get_node:query:MATCH (n:`CHILDREN`) RETURN n:result:"Children represent innocence and joy, often seen as seeking affection and connection with adults like Scrooge.""Children represent innocence and joy, often seen as seeking affection and connection with adults like Scrooge.""Children represent innocence and joy, often seen as seeking affection and connection with adults like Scrooge.""The Children represent innocence and purity, highlighted as victims of societal neglect and calling for compassion from Scrooge.""The Children represent the joyful, carefree aspects of Scrooge\'s past, embodying happiness and the innocence of youth that he has long forgotten.""The Children represent innocence and the impact of societal neglect, embodied by Ignorance and Want as personified by the Spirit.""The Children represent innocence and the impact of societal neglect, embodied by Ignorance and Want as personified by the Spirit.""The Children represent innocence and the impact of societal neglect, embodied by Ignorance and Want as personified by the Spirit.""The Children represent innocence and the impact of societal neglect, embodied by Ignorance and Want as personified by the Spirit."', 'source_id': 'chunk-bb21d58d36c6306fd8810ddd51c4a971chunk-74e2466de2f67fd710ef2f20c0a8d9e0chunk-e7637ff18c5ded77a68cce0a87883fad'}> +2024-10-30 06:44:16,676 - lightrag - INFO - _do_upsert:query: + MERGE (n:`CHILDREN`) + SET n += $properties + RETURN n + :result:{'entity_type': '"PERSON"', 'description': '"Children represent innocence and joy, often seen as seeking affection and connection with adults like Scrooge.""Children represent innocence and joy, often seen as seeking affection and connection with adults like Scrooge.""Children represent innocence and joy, often seen as seeking affection and connection with adults like Scrooge.""Children represent innocence and joy, often seen as seeking affection and connection with adults like Scrooge.""Children represent innocence and joy, often seen as seeking affection and connection with adults like Scrooge.""The Children represent innocence and purity, highlighted as victims of societal neglect and calling for compassion from Scrooge.""The Children represent the joyful, carefree aspects of Scrooge\'s past, embodying happiness and the innocence of youth that he has long forgotten.""The Children represent innocence and the impact of societal neglect, embodied by Ignorance and Want as personified by the Spirit.""The Children represent innocence and the impact of societal neglect, embodied by Ignorance and Want as personified by the Spirit.""The Children represent innocence and the impact of societal neglect, embodied by Ignorance and Want as personified by the Spirit.""The Children represent innocence and the impact of societal neglect, embodied by Ignorance and Want as personified by the Spirit.""The Children represent innocence and the impact of societal neglect, embodied by Ignorance and Want as personified by the Spirit."', 'source_id': 'chunk-bb21d58d36c6306fd8810ddd51c4a971chunk-74e2466de2f67fd710ef2f20c0a8d9e0chunk-e7637ff18c5ded77a68cce0a87883fad'} +2024-10-30 06:44:16,806 - lightrag - INFO - get_node:query:MATCH (n:`COLD WEATHER`) RETURN n:result:"Cold Weather sets the bleak and unforgiving atmosphere, reflecting Scrooge’s own personality and state of mind.""Cold Weather sets the bleak and unforgiving atmosphere, reflecting Scrooge’s own personality and state of mind.""Cold Weather sets the bleak and unforgiving atmosphere, reflecting Scrooge’s own personality and state of mind.""Cold Weather sets the bleak and unforgiving atmosphere, reflecting Scrooge’s own personality and state of mind."', 'source_id': 'chunk-f1a4fbcf1ed86864b9bfd5e8dba4c683chunk-74e2466de2f67fd710ef2f20c0a8d9e0'}> +2024-10-30 06:44:16,937 - lightrag - INFO - _do_upsert:query: + MERGE (n:`COLD WEATHER`) + SET n += $properties + RETURN n + :result:{'entity_type': '"GEO"', 'description': '"Cold Weather is noted in the conversation between the businessmen, serving as a backdrop to their trivial interactions.""Cold Weather sets the bleak and unforgiving atmosphere, reflecting Scrooge’s own personality and state of mind.""Cold Weather sets the bleak and unforgiving atmosphere, reflecting Scrooge’s own personality and state of mind.""Cold Weather sets the bleak and unforgiving atmosphere, reflecting Scrooge’s own personality and state of mind.""Cold Weather sets the bleak and unforgiving atmosphere, reflecting Scrooge’s own personality and state of mind.""Cold Weather sets the bleak and unforgiving atmosphere, reflecting Scrooge’s own personality and state of mind."', 'source_id': 'chunk-f1a4fbcf1ed86864b9bfd5e8dba4c683chunk-74e2466de2f67fd710ef2f20c0a8d9e0'} +2024-10-30 06:44:17,064 - lightrag - INFO - get_node:query:MATCH (n:`FOG`) RETURN n:result:"Fog is a weather phenomenon that adds to the bleak atmosphere, reflecting the obscurity and confusion in Scrooge\'s life.""Fog represents the obscured visibility and confusion in Scrooge\'s surroundings, enhancing the atmosphere of uncertainty and apprehension.""Fog represents the obscurity and isolation in the environment, mirroring Scrooge’s emotional distance and isolation from society.""Fog represents the obscured visibility and confusion in Scrooge\'s surroundings, enhancing the atmosphere of uncertainty and apprehension.""Fog represents the obscurity and isolation in the environment, mirroring Scrooge’s emotional distance and isolation from society.""Fog represents the obscured visibility and confusion in Scrooge\'s surroundings, enhancing the atmosphere of uncertainty and apprehension.""Fog represents the obscurity and isolation in the environment, mirroring Scrooge’s emotional distance and isolation from society.""Fog represents the obscured visibility and confusion in Scrooge\'s surroundings, enhancing the atmosphere of uncertainty and apprehension.""Fog represents the obscurity and isolation in the environment, mirroring Scrooge’s emotional distance and isolation from society."', 'source_id': 'chunk-74e2466de2f67fd710ef2f20c0a8d9e0chunk-c7b10789a9cb0af6c553730b29bd9034chunk-d9aac3484185ac66045df92214d245d5'}> +2024-10-30 06:44:17,193 - lightrag - INFO - _do_upsert:query: + MERGE (n:`FOG`) + SET n += $properties + RETURN n + :result:{'entity_type': '"GEO"', 'description': '"Fog is a weather condition mentioned that enhances the dreary atmosphere surrounding Scrooge\'s home and workplace.""Fog is a weather phenomenon that adds to the bleak atmosphere, reflecting the obscurity and confusion in Scrooge\'s life.""Fog represents the obscured visibility and confusion in Scrooge\'s surroundings, enhancing the atmosphere of uncertainty and apprehension.""Fog represents the obscurity and isolation in the environment, mirroring Scrooge’s emotional distance and isolation from society.""Fog represents the obscured visibility and confusion in Scrooge\'s surroundings, enhancing the atmosphere of uncertainty and apprehension.""Fog represents the obscurity and isolation in the environment, mirroring Scrooge’s emotional distance and isolation from society.""Fog represents the obscured visibility and confusion in Scrooge\'s surroundings, enhancing the atmosphere of uncertainty and apprehension.""Fog represents the obscurity and isolation in the environment, mirroring Scrooge’s emotional distance and isolation from society.""Fog represents the obscured visibility and confusion in Scrooge\'s surroundings, enhancing the atmosphere of uncertainty and apprehension.""Fog represents the obscurity and isolation in the environment, mirroring Scrooge’s emotional distance and isolation from society.""Fog represents the obscured visibility and confusion in Scrooge\'s surroundings, enhancing the atmosphere of uncertainty and apprehension.""Fog represents the obscurity and isolation in the environment, mirroring Scrooge’s emotional distance and isolation from society."', 'source_id': 'chunk-c7b10789a9cb0af6c553730b29bd9034chunk-d9aac3484185ac66045df92214d245d5chunk-74e2466de2f67fd710ef2f20c0a8d9e0'} +2024-10-30 06:44:17,320 - lightrag - INFO - get_node:query:MATCH (n:`COURT`) RETURN n:result: +2024-10-30 06:44:17,448 - lightrag - INFO - _do_upsert:query: + MERGE (n:`COURT`) + SET n += $properties + RETURN n + :result:{'entity_type': '"GEO"', 'description': '"The Court is a location described as a space outside Scrooge\'s office where people pass by, emphasizing the contrast between Scrooge\'s inside world and the outside social interactions."', 'source_id': 'chunk-74e2466de2f67fd710ef2f20c0a8d9e0'} +2024-10-30 06:44:17,572 - lightrag - INFO - get_node:query:MATCH (n:`SCROOGE AND MARLEY'S`) RETURN n:result: +2024-10-30 06:44:17,702 - lightrag - INFO - _do_upsert:query: + MERGE (n:`SCROOGE AND MARLEY'S`) + SET n += $properties + RETURN n + :result:{'entity_type': '"ORGANIZATION"', 'description': '"Scrooge and Marley\'s is the name of the business run by Scrooge, signifying a partnership that existed before Marley’s death."', 'source_id': 'chunk-5dac41b3f9eeaf794f0147400b1718cd'} +2024-10-30 06:44:17,826 - lightrag - INFO - get_node:query:MATCH (n:`CLERK`) RETURN n:result:"The Clerk is a minor character who provides a contrast to Scrooge\'s character, expressing warmth and kindness during the holiday season.""The Clerk is a minor character who provides a contrast to Scrooge\'s character, expressing warmth and kindness during the holiday season.""The Clerk is a minor character who provides a contrast to Scrooge\'s character, expressing warmth and kindness during the holiday season.""The Clerk is an unnamed character who serves Scrooge, exhibiting a hopeful disposition despite Scrooge\'s ill-tempered management."', 'source_id': 'chunk-5dac41b3f9eeaf794f0147400b1718cdchunk-d9aac3484185ac66045df92214d245d5'}> +2024-10-30 06:44:17,961 - lightrag - INFO - _do_upsert:query: + MERGE (n:`CLERK`) + SET n += $properties + RETURN n + :result:{'entity_type': '"PERSON"', 'description': '"The Clerk is a minor character who provides a contrast to Scrooge\'s character, expressing warmth and kindness during the holiday season.""The Clerk is a minor character who provides a contrast to Scrooge\'s character, expressing warmth and kindness during the holiday season.""The Clerk is a minor character who provides a contrast to Scrooge\'s character, expressing warmth and kindness during the holiday season.""The Clerk is a minor character who provides a contrast to Scrooge\'s character, expressing warmth and kindness during the holiday season.""The Clerk is a minor character who provides a contrast to Scrooge\'s character, expressing warmth and kindness during the holiday season.""The Clerk is an unnamed character who serves Scrooge, exhibiting a hopeful disposition despite Scrooge\'s ill-tempered management."', 'source_id': 'chunk-d9aac3484185ac66045df92214d245d5chunk-5dac41b3f9eeaf794f0147400b1718cd'} +2024-10-30 06:44:18,090 - lightrag - INFO - get_node:query:MATCH (n:`THE GENTLEMEN`) RETURN n:result: +2024-10-30 06:44:18,222 - lightrag - INFO - _do_upsert:query: + MERGE (n:`THE GENTLEMEN`) + SET n += $properties + RETURN n + :result:{'entity_type': '"ORGANIZATION"', 'description': '"The Gentlemen are portrayed as representatives who arrive at Scrooge\'s office to collect donations for the poor during Christmas."', 'source_id': 'chunk-5dac41b3f9eeaf794f0147400b1718cd'} +2024-10-30 06:44:18,350 - lightrag - INFO - get_node:query:MATCH (n:`POOR AND DESTITUTE`) RETURN n:result: +2024-10-30 06:44:18,479 - lightrag - INFO - _do_upsert:query: + MERGE (n:`POOR AND DESTITUTE`) + SET n += $properties + RETURN n + :result:{'entity_type': '"CONCEPT"', 'description': '"The Poor and Destitute refer to those in need, highlighting the themes of charity and social responsibility that are emphasized during the Christmas season."', 'source_id': 'chunk-5dac41b3f9eeaf794f0147400b1718cd'} +2024-10-30 06:44:18,603 - lightrag - INFO - get_node:query:MATCH (n:`CHRISTMAS-TIME`) RETURN n:result:"Christmas-Time refers to the period surrounding Christmas, laden with connotations of joy, generosity, and family gatherings, which Scrooge vehemently criticizes.""Christmas-Time refers to the period surrounding Christmas, laden with connotations of joy, generosity, and family gatherings, which Scrooge vehemently criticizes.""Christmas-Time refers to the period surrounding Christmas, laden with connotations of joy, generosity, and family gatherings, which Scrooge vehemently criticizes.""Christmas-time is characterized as a period filled with festivities, joy, and community engagement, which Scrooge regards cynically.""Christmas-time represents the festive season, a recurring theme that evokes memories and emotions in Scrooge’s reflections.""Christmas-time serves as a backdrop for the narrative, emphasizing themes of reflection, mortality, and social interactions.""Christmas-time symbolizes a period of joy and reunion, characterized by scenes of celebration and warmth in the story.""Christmas-time symbolizes a period of joy and reunion, characterized by scenes of celebration and warmth in the story.""Christmas-time symbolizes a period of joy and reunion, characterized by scenes of celebration and warmth in the story.""Christmas-time symbolizes a period of joy and reunion, characterized by scenes of celebration and warmth in the story."', 'source_id': 'chunk-f1a4fbcf1ed86864b9bfd5e8dba4c683chunk-5dac41b3f9eeaf794f0147400b1718cdchunk-c6c248858d1b13ab7ee9ca13c1aeed6b'}> +2024-10-30 06:44:18,738 - lightrag - INFO - _do_upsert:query: + MERGE (n:`CHRISTMAS-TIME`) + SET n += $properties + RETURN n + :result:{'entity_type': '"EVENT"', 'description': '"Christmas-Time refers to the period surrounding Christmas, laden with connotations of joy, generosity, and family gatherings, which Scrooge vehemently criticizes.""Christmas-Time refers to the period surrounding Christmas, laden with connotations of joy, generosity, and family gatherings, which Scrooge vehemently criticizes.""Christmas-Time refers to the period surrounding Christmas, laden with connotations of joy, generosity, and family gatherings, which Scrooge vehemently criticizes.""Christmas-Time refers to the period surrounding Christmas, laden with connotations of joy, generosity, and family gatherings, which Scrooge vehemently criticizes.""Christmas-Time refers to the period surrounding Christmas, laden with connotations of joy, generosity, and family gatherings, which Scrooge vehemently criticizes.""Christmas-time is characterized as a period filled with festivities, joy, and community engagement, which Scrooge regards cynically.""Christmas-time represents the festive season, a recurring theme that evokes memories and emotions in Scrooge’s reflections.""Christmas-time serves as a backdrop for the narrative, emphasizing themes of reflection, mortality, and social interactions.""Christmas-time symbolizes a period of joy and reunion, characterized by scenes of celebration and warmth in the story.""Christmas-time symbolizes a period of joy and reunion, characterized by scenes of celebration and warmth in the story.""Christmas-time symbolizes a period of joy and reunion, characterized by scenes of celebration and warmth in the story.""Christmas-time symbolizes a period of joy and reunion, characterized by scenes of celebration and warmth in the story.""Christmas-time symbolizes a period of joy and reunion, characterized by scenes of celebration and warmth in the story."', 'source_id': 'chunk-f1a4fbcf1ed86864b9bfd5e8dba4c683chunk-5dac41b3f9eeaf794f0147400b1718cdchunk-c6c248858d1b13ab7ee9ca13c1aeed6b'} +2024-10-30 06:44:18,871 - lightrag - INFO - get_node:query:MATCH (n:`BEDLAM`) RETURN n:result:"Bedlam is referenced as a metaphorical expression of madness, illustrating Scrooge\'s disdain for cheerful attitudes he finds absurd.""Bedlam is referenced as a metaphorical expression of madness, illustrating Scrooge\'s disdain for cheerful attitudes he finds absurd.""Bedlam is referenced as a metaphorical expression of madness, illustrating Scrooge\'s disdain for cheerful attitudes he finds absurd.""Bedlam is referenced as a metaphorical place for madness, illustrating Scrooge\'s disdain for the cheerful nature of Christmas and his sense of isolation."', 'source_id': 'chunk-5dac41b3f9eeaf794f0147400b1718cd'}> +2024-10-30 06:44:19,003 - lightrag - INFO - _do_upsert:query: + MERGE (n:`BEDLAM`) + SET n += $properties + RETURN n + :result:{'entity_type': '"GEO"', 'description': '"Bedlam is referenced as a metaphorical expression of madness, illustrating Scrooge\'s disdain for cheerful attitudes he finds absurd.""Bedlam is referenced as a metaphorical expression of madness, illustrating Scrooge\'s disdain for cheerful attitudes he finds absurd.""Bedlam is referenced as a metaphorical expression of madness, illustrating Scrooge\'s disdain for cheerful attitudes he finds absurd.""Bedlam is referenced as a metaphorical expression of madness, illustrating Scrooge\'s disdain for cheerful attitudes he finds absurd.""Bedlam is referenced as a metaphorical expression of madness, illustrating Scrooge\'s disdain for cheerful attitudes he finds absurd.""Bedlam is referenced as a metaphorical place for madness, illustrating Scrooge\'s disdain for the cheerful nature of Christmas and his sense of isolation."', 'source_id': 'chunk-5dac41b3f9eeaf794f0147400b1718cd'} +2024-10-30 06:44:19,134 - lightrag - INFO - get_node:query:MATCH (n:`THE GENTLEMAN`) RETURN n:result:"The Gentleman is a character attempting to persuade Scrooge to contribute to charity for the poor during Christmas.""The Gentleman is a character attempting to persuade Scrooge to contribute to charity for the poor during Christmas.""The Gentleman is a character attempting to persuade Scrooge to contribute to charity for the poor during Christmas.""The Gentleman is a character who advocates for helping the poor and trying to raise a fund for those in need during Christmas."', 'source_id': 'chunk-90d5764e301321c087f5a8f78b73a145'}> +2024-10-30 06:44:19,268 - lightrag - INFO - _do_upsert:query: + MERGE (n:`THE GENTLEMAN`) + SET n += $properties + RETURN n + :result:{'entity_type': '"PERSON"', 'description': '"The Gentleman is a character attempting to persuade Scrooge to contribute to charity for the poor during Christmas.""The Gentleman is a character attempting to persuade Scrooge to contribute to charity for the poor during Christmas.""The Gentleman is a character attempting to persuade Scrooge to contribute to charity for the poor during Christmas.""The Gentleman is a character attempting to persuade Scrooge to contribute to charity for the poor during Christmas.""The Gentleman is a character attempting to persuade Scrooge to contribute to charity for the poor during Christmas.""The Gentleman is a character who advocates for helping the poor and trying to raise a fund for those in need during Christmas."', 'source_id': 'chunk-90d5764e301321c087f5a8f78b73a145'} +2024-10-30 06:44:19,397 - lightrag - INFO - get_node:query:MATCH (n:`THE POOR LAW`) RETURN n:result: +2024-10-30 06:44:19,527 - lightrag - INFO - _do_upsert:query: + MERGE (n:`THE POOR LAW`) + SET n += $properties + RETURN n + :result:{'entity_type': '"ORGANIZATION"', 'description': '"The Poor Law refers to a governmental system in place intended to support the impoverished, which Scrooge references to indicate his views on responsibility and charity."', 'source_id': 'chunk-90d5764e301321c087f5a8f78b73a145'} +2024-10-30 06:44:19,653 - lightrag - INFO - get_node:query:MATCH (n:`THE UNION WORKHOUSES`) RETURN n:result:"The Union Workhouses are facilities that provide aid to the poor, still operational as confirmed by the Gentleman during the discussion with Scrooge.""The Union Workhouses are facilities that provide aid to the poor, still operational as confirmed by the Gentleman during the discussion with Scrooge.""The Union Workhouses are facilities that provide aid to the poor, still operational as confirmed by the Gentleman during the discussion with Scrooge.""The Union Workhouses are institutions mentioned as a means of supporting the poor, still operational during Scrooge\'s time."', 'source_id': 'chunk-90d5764e301321c087f5a8f78b73a145'}> +2024-10-30 06:44:19,784 - lightrag - INFO - _do_upsert:query: + MERGE (n:`THE UNION WORKHOUSES`) + SET n += $properties + RETURN n + :result:{'entity_type': '"ORGANIZATION"', 'description': '"The Union Workhouses are facilities that provide aid to the poor, still operational as confirmed by the Gentleman during the discussion with Scrooge.""The Union Workhouses are facilities that provide aid to the poor, still operational as confirmed by the Gentleman during the discussion with Scrooge.""The Union Workhouses are facilities that provide aid to the poor, still operational as confirmed by the Gentleman during the discussion with Scrooge.""The Union Workhouses are facilities that provide aid to the poor, still operational as confirmed by the Gentleman during the discussion with Scrooge.""The Union Workhouses are facilities that provide aid to the poor, still operational as confirmed by the Gentleman during the discussion with Scrooge.""The Union Workhouses are institutions mentioned as a means of supporting the poor, still operational during Scrooge\'s time."', 'source_id': 'chunk-90d5764e301321c087f5a8f78b73a145'} +2024-10-30 06:44:19,913 - lightrag - INFO - get_node:query:MATCH (n:`THE MANSION HOUSE`) RETURN n:result:"The Mansion House is the official residence of the Lord Mayor, where festive preparations for Christmas are being made.""The Mansion House is the official residence of the Lord Mayor, where festive preparations for Christmas are being made.""The Mansion House is the official residence of the Lord Mayor, where festive preparations for Christmas are being made.""The Mansion House is the official residence of the Lord Mayor, where festive preparations for Christmas are being made."', 'source_id': 'chunk-90d5764e301321c087f5a8f78b73a145'}> +2024-10-30 06:44:20,050 - lightrag - INFO - _do_upsert:query: + MERGE (n:`THE MANSION HOUSE`) + SET n += $properties + RETURN n + :result:{'entity_type': '"LOCATION"', 'description': '"The Mansion House is identified as the residence of the Lord Mayor, a place associated with Christmas festivities and order.""The Mansion House is the official residence of the Lord Mayor, where festive preparations for Christmas are being made.""The Mansion House is the official residence of the Lord Mayor, where festive preparations for Christmas are being made.""The Mansion House is the official residence of the Lord Mayor, where festive preparations for Christmas are being made.""The Mansion House is the official residence of the Lord Mayor, where festive preparations for Christmas are being made.""The Mansion House is the official residence of the Lord Mayor, where festive preparations for Christmas are being made."', 'source_id': 'chunk-90d5764e301321c087f5a8f78b73a145'} +2024-10-30 06:44:20,177 - lightrag - INFO - get_node:query:MATCH (n:`THE POOR`) RETURN n:result:"The Poor refer to those individuals in society who face economic hardship and are in need of help, as indicated by their absence from the workhouses and their desperate circumstances during the festive season.""The Poor refer to those individuals in society who face economic hardship and are in need of help, as indicated by their absence from the workhouses and their desperate circumstances during the festive season.""The Poor refer to those individuals in society who face economic hardship and are in need of help, as indicated by their absence from the workhouses and their desperate circumstances during the festive season.""The Poor refers to the individuals in society who are destitute and in need of assistance, often highlighted in discussions about charity during Christmas."', 'source_id': 'chunk-90d5764e301321c087f5a8f78b73a145'}> +2024-10-30 06:44:20,313 - lightrag - INFO - _do_upsert:query: + MERGE (n:`THE POOR`) + SET n += $properties + RETURN n + :result:{'entity_type': '"PERSON"', 'description': '"The Poor refer to those individuals in society who face economic hardship and are in need of help, as indicated by their absence from the workhouses and their desperate circumstances during the festive season.""The Poor refer to those individuals in society who face economic hardship and are in need of help, as indicated by their absence from the workhouses and their desperate circumstances during the festive season.""The Poor refer to those individuals in society who face economic hardship and are in need of help, as indicated by their absence from the workhouses and their desperate circumstances during the festive season.""The Poor refer to those individuals in society who face economic hardship and are in need of help, as indicated by their absence from the workhouses and their desperate circumstances during the festive season.""The Poor refer to those individuals in society who face economic hardship and are in need of help, as indicated by their absence from the workhouses and their desperate circumstances during the festive season.""The Poor refers to the individuals in society who are destitute and in need of assistance, often highlighted in discussions about charity during Christmas."', 'source_id': 'chunk-90d5764e301321c087f5a8f78b73a145'} +2024-10-30 06:44:20,444 - lightrag - INFO - get_node:query:MATCH (n:`SCROOGE'S COUNTING-HOUSE`) RETURN n:result: +2024-10-30 06:44:20,574 - lightrag - INFO - _do_upsert:query: + MERGE (n:`SCROOGE'S COUNTING-HOUSE`) + SET n += $properties + RETURN n + :result:{'entity_type': '"LOCATION"', 'description': '"Scrooge\'s Counting-House is the workspace of Scrooge where he conducts his business, symbolizing his frugality and solitary nature."', 'source_id': 'chunk-90d5764e301321c087f5a8f78b73a145'} +2024-10-30 06:44:20,698 - lightrag - INFO - get_node:query:MATCH (n:`THE LORD MAYOR`) RETURN n:result:"The Lord Mayor oversees the festivities during Christmas at the Mansion House, representing authority and public celebration.""The Lord Mayor oversees the festivities during Christmas at the Mansion House, representing authority and public celebration.""The Lord Mayor oversees the festivities during Christmas at the Mansion House, representing authority and public celebration.""The Lord Mayor oversees the festivities during Christmas at the Mansion House, representing authority and public celebration."', 'source_id': 'chunk-90d5764e301321c087f5a8f78b73a145'}> +2024-10-30 06:44:20,830 - lightrag - INFO - _do_upsert:query: + MERGE (n:`THE LORD MAYOR`) + SET n += $properties + RETURN n + :result:{'entity_type': '"PERSON"', 'description': '"The Lord Mayor is a civic leader responsible for overseeing Christmas festivities and ensuring proper celebrations in the town.""The Lord Mayor oversees the festivities during Christmas at the Mansion House, representing authority and public celebration.""The Lord Mayor oversees the festivities during Christmas at the Mansion House, representing authority and public celebration.""The Lord Mayor oversees the festivities during Christmas at the Mansion House, representing authority and public celebration.""The Lord Mayor oversees the festivities during Christmas at the Mansion House, representing authority and public celebration.""The Lord Mayor oversees the festivities during Christmas at the Mansion House, representing authority and public celebration."', 'source_id': 'chunk-90d5764e301321c087f5a8f78b73a145'} +2024-10-30 06:44:20,960 - lightrag - INFO - get_node:query:MATCH (n:`CHRISTMAS PUDDING`) RETURN n:result:"Christmas Pudding is a dish being prepared for the festive celebration, embodying the spirit of Christmas and family gatherings.""Christmas Pudding is a dish being prepared for the festive celebration, embodying the spirit of Christmas and family gatherings.""Christmas Pudding is a dish being prepared for the festive celebration, embodying the spirit of Christmas and family gatherings.""The Christmas Pudding is a significant dish prepared by Mrs. Cratchit, symbolizing the family\'s festive celebration and unity."', 'source_id': 'chunk-90d5764e301321c087f5a8f78b73a145chunk-503f0bfa5453467c7c61d160a3540eca'}> +2024-10-30 06:44:21,089 - lightrag - INFO - _do_upsert:query: + MERGE (n:`CHRISTMAS PUDDING`) + SET n += $properties + RETURN n + :result:{'entity_type': '"EVENT"', 'description': '"Christmas Pudding is a dish being prepared for the festive celebration, embodying the spirit of Christmas and family gatherings.""Christmas Pudding is a dish being prepared for the festive celebration, embodying the spirit of Christmas and family gatherings.""Christmas Pudding is a dish being prepared for the festive celebration, embodying the spirit of Christmas and family gatherings.""Christmas Pudding is a dish being prepared for the festive celebration, embodying the spirit of Christmas and family gatherings.""Christmas Pudding is a dish being prepared for the festive celebration, embodying the spirit of Christmas and family gatherings.""The Christmas Pudding is a significant dish prepared by Mrs. Cratchit, symbolizing the family\'s festive celebration and unity."', 'source_id': 'chunk-503f0bfa5453467c7c61d160a3540ecachunk-90d5764e301321c087f5a8f78b73a145'} +2024-10-30 06:44:21,218 - lightrag - INFO - get_node:query:MATCH (n:`THE GAS-PIPES`) RETURN n:result:"The Gas-Pipes represent the infrastructure of the city, which signifies the industrial and economic activity during the cold winter season.""The Gas-Pipes represent the infrastructure of the city, which signifies the industrial and economic activity during the cold winter season.""The Gas-Pipes represent the infrastructure of the city, which signifies the industrial and economic activity during the cold winter season.""The Gas-pipes are mentioned as undergoing repairs in The Main Street, indicating the infrastructure\'s role in the community during winter."', 'source_id': 'chunk-90d5764e301321c087f5a8f78b73a145'}> +2024-10-30 06:44:21,349 - lightrag - INFO - _do_upsert:query: + MERGE (n:`THE GAS-PIPES`) + SET n += $properties + RETURN n + :result:{'entity_type': '"ORGANIZATION"', 'description': '"The Gas-Pipes represent the infrastructure of the city, which signifies the industrial and economic activity during the cold winter season.""The Gas-Pipes represent the infrastructure of the city, which signifies the industrial and economic activity during the cold winter season.""The Gas-Pipes represent the infrastructure of the city, which signifies the industrial and economic activity during the cold winter season.""The Gas-Pipes represent the infrastructure of the city, which signifies the industrial and economic activity during the cold winter season.""The Gas-Pipes represent the infrastructure of the city, which signifies the industrial and economic activity during the cold winter season.""The Gas-pipes are mentioned as undergoing repairs in The Main Street, indicating the infrastructure\'s role in the community during winter."', 'source_id': 'chunk-90d5764e301321c087f5a8f78b73a145'} +2024-10-30 06:44:21,480 - lightrag - INFO - get_node:query:MATCH (n:`THE CHURCH`) RETURN n:result:"The Church is a location from where the clock chimes are heard, marking the passage of time and contributing to the atmosphere of the scene.""The Church is a location from where the clock chimes are heard, marking the passage of time and contributing to the atmosphere of the scene.""The Church is a location from where the clock chimes are heard, marking the passage of time and contributing to the atmosphere of the scene.""The Church is a place Scrooge visits, indicating his desire to engage in the Christmas spirit and community.""The Church is a place referenced in the context of the community\'s sentiments toward Christmas and social welfare.""The Church is a place referenced in the context of the community\'s sentiments toward Christmas and social welfare.""The Church is a place referenced in the context of the community\'s sentiments toward Christmas and social welfare.""The Church is a place referenced in the context of the community\'s sentiments toward Christmas and social welfare."', 'source_id': 'chunk-90d5764e301321c087f5a8f78b73a145chunk-8f738cb25d60a7dab782162d9d0a25edchunk-cb661c37436355ccec2769b1d0350c5f'}> +2024-10-30 06:44:21,613 - lightrag - INFO - _do_upsert:query: + MERGE (n:`THE CHURCH`) + SET n += $properties + RETURN n + :result:{'entity_type': '"ORGANIZATION"', 'description': '"The Church is a location from where the clock chimes are heard, marking the passage of time and contributing to the atmosphere of the scene.""The Church is a location from where the clock chimes are heard, marking the passage of time and contributing to the atmosphere of the scene.""The Church is a location from where the clock chimes are heard, marking the passage of time and contributing to the atmosphere of the scene.""The Church is a location from where the clock chimes are heard, marking the passage of time and contributing to the atmosphere of the scene.""The Church is a location from where the clock chimes are heard, marking the passage of time and contributing to the atmosphere of the scene.""The Church is a place Scrooge visits, indicating his desire to engage in the Christmas spirit and community.""The Church is a place referenced in the context of the community\'s sentiments toward Christmas and social welfare.""The Church is a place referenced in the context of the community\'s sentiments toward Christmas and social welfare.""The Church is a place referenced in the context of the community\'s sentiments toward Christmas and social welfare.""The Church is a place referenced in the context of the community\'s sentiments toward Christmas and social welfare.""The Church is a place referenced in the context of the community\'s sentiments toward Christmas and social welfare."', 'source_id': 'chunk-cb661c37436355ccec2769b1d0350c5fchunk-8f738cb25d60a7dab782162d9d0a25edchunk-90d5764e301321c087f5a8f78b73a145'} +2024-10-30 06:44:21,740 - lightrag - INFO - get_node:query:MATCH (n:`THE CRATCHIT FAMILY`) RETURN n:result:"The Cratchit Family consists of Bob, Mrs. Cratchit, Tiny Tim, and their children, characterized by their strong familial bonds and love for one another despite financial struggles.""The Cratchit Family consists of Bob, Mrs. Cratchit, Tiny Tim, and their children, characterized by their strong familial bonds and love for one another despite financial struggles.""The Cratchit Family consists of Bob, Mrs. Cratchit, Tiny Tim, and their children, characterized by their strong familial bonds and love for one another despite financial struggles.""The Cratchit Family consists of Bob, Mrs. Cratchit, and their children, highlighting themes of familial love and support amidst hardship.""The Cratchit Family is a close-knit family depicted in the text, characterized by love and warmth, celebrating Christmas together despite their difficulties.""The Cratchit Family represents a typical struggling family in the text, highlighting the theme of social disparity during Christmas.""The Cratchit Family is a close-knit family depicted in the text, characterized by love and warmth, celebrating Christmas together despite their difficulties.""The Cratchit Family represents a typical struggling family in the text, highlighting the theme of social disparity during Christmas.""The Cratchit Family is a close-knit family depicted in the text, characterized by love and warmth, celebrating Christmas together despite their difficulties.""The Cratchit Family represents a typical struggling family in the text, highlighting the theme of social disparity during Christmas.""The Cratchit Family is a close-knit family depicted in the text, characterized by love and warmth, celebrating Christmas together despite their difficulties.""The Cratchit Family represents a typical struggling family in the text, highlighting the theme of social disparity during Christmas."', 'source_id': 'chunk-90d5764e301321c087f5a8f78b73a145chunk-1d4b58de5429cd1261370c231c8673e8chunk-503f0bfa5453467c7c61d160a3540eca'}> +2024-10-30 06:44:21,877 - lightrag - INFO - _do_upsert:query: + MERGE (n:`THE CRATCHIT FAMILY`) + SET n += $properties + RETURN n + :result:{'entity_type': '"ORGANIZATION"', 'description': '"The Cratchit Family consists of Bob, Mrs. Cratchit, Tiny Tim, and their children, characterized by their strong familial bonds and love for one another despite financial struggles.""The Cratchit Family consists of Bob, Mrs. Cratchit, Tiny Tim, and their children, characterized by their strong familial bonds and love for one another despite financial struggles.""The Cratchit Family consists of Bob, Mrs. Cratchit, Tiny Tim, and their children, characterized by their strong familial bonds and love for one another despite financial struggles.""The Cratchit Family consists of Bob, Mrs. Cratchit, Tiny Tim, and their children, characterized by their strong familial bonds and love for one another despite financial struggles.""The Cratchit Family consists of Bob, Mrs. Cratchit, Tiny Tim, and their children, characterized by their strong familial bonds and love for one another despite financial struggles.""The Cratchit Family consists of Bob, Mrs. Cratchit, and their children, highlighting themes of familial love and support amidst hardship.""The Cratchit Family is a close-knit family depicted in the text, characterized by love and warmth, celebrating Christmas together despite their difficulties.""The Cratchit Family represents a typical struggling family in the text, highlighting the theme of social disparity during Christmas.""The Cratchit Family is a close-knit family depicted in the text, characterized by love and warmth, celebrating Christmas together despite their difficulties.""The Cratchit Family represents a typical struggling family in the text, highlighting the theme of social disparity during Christmas.""The Cratchit Family is a close-knit family depicted in the text, characterized by love and warmth, celebrating Christmas together despite their difficulties.""The Cratchit Family represents a typical struggling family in the text, highlighting the theme of social disparity during Christmas.""The Cratchit Family is a close-knit family depicted in the text, characterized by love and warmth, celebrating Christmas together despite their difficulties.""The Cratchit Family represents a typical struggling family in the text, highlighting the theme of social disparity during Christmas.""The Cratchit Family is a close-knit family depicted in the text, characterized by love and warmth, celebrating Christmas together despite their difficulties.""The Cratchit Family represents a typical struggling family in the text, highlighting the theme of social disparity during Christmas."', 'source_id': 'chunk-503f0bfa5453467c7c61d160a3540ecachunk-90d5764e301321c087f5a8f78b73a145chunk-1d4b58de5429cd1261370c231c8673e8'} +2024-10-30 06:44:22,011 - lightrag - INFO - get_node:query:MATCH (n:`CHRISTMAS EVE`) RETURN n:result:"Christmas Eve is a significant time in the story, marked by celebrations and gatherings led by Fezziwig.""Christmas Eve is a significant time in the story, marked by celebrations and gatherings led by Fezziwig.""Christmas Eve is a significant time in the story, marked by celebrations and gatherings led by Fezziwig.""Christmas Eve is depicted as a significant time, bringing about joyful activities like sliding down snow hills, contrasting with Scrooge\'s dour demeanor.""Christmas Eve is the night before Christmas, serving as the backdrop for the lively celebrations and dances hosted by Fezziwig.""Christmas Eve is the specific time setting in the story, highlighting the contrast between the joy of the holiday and Scrooge\'s negativity.""Christmas Eve is the day prior to Christmas, a time that carries festive significance and anticipation in the narrative.""Christmas Eve is the day prior to Christmas, a time that carries festive significance and anticipation in the narrative.""Christmas Eve is the day prior to Christmas, a time that carries festive significance and anticipation in the narrative.""Christmas Eve is the day prior to Christmas, a time that carries festive significance and anticipation in the narrative."', 'source_id': 'chunk-74e2466de2f67fd710ef2f20c0a8d9e0chunk-d9aac3484185ac66045df92214d245d5chunk-8bc1edd983869352d14cf0886a9175a7'}> +2024-10-30 06:44:22,147 - lightrag - INFO - _do_upsert:query: + MERGE (n:`CHRISTMAS EVE`) + SET n += $properties + RETURN n + :result:{'entity_type': '"EVENT"', 'description': '"Christmas Eve is a significant time in the story, marked by celebrations and gatherings led by Fezziwig.""Christmas Eve is a significant time in the story, marked by celebrations and gatherings led by Fezziwig.""Christmas Eve is a significant time in the story, marked by celebrations and gatherings led by Fezziwig.""Christmas Eve is a significant time in the story, marked by celebrations and gatherings led by Fezziwig.""Christmas Eve is a significant time in the story, marked by celebrations and gatherings led by Fezziwig.""Christmas Eve is depicted as a significant time, bringing about joyful activities like sliding down snow hills, contrasting with Scrooge\'s dour demeanor.""Christmas Eve is the night before Christmas, serving as the backdrop for the lively celebrations and dances hosted by Fezziwig.""Christmas Eve is the specific time setting in the story, highlighting the contrast between the joy of the holiday and Scrooge\'s negativity.""Christmas Eve is the day prior to Christmas, a time that carries festive significance and anticipation in the narrative.""Christmas Eve is the day prior to Christmas, a time that carries festive significance and anticipation in the narrative.""Christmas Eve is the day prior to Christmas, a time that carries festive significance and anticipation in the narrative.""Christmas Eve is the day prior to Christmas, a time that carries festive significance and anticipation in the narrative.""Christmas Eve is the day prior to Christmas, a time that carries festive significance and anticipation in the narrative."', 'source_id': 'chunk-d9aac3484185ac66045df92214d245d5chunk-8bc1edd983869352d14cf0886a9175a7chunk-74e2466de2f67fd710ef2f20c0a8d9e0'} +2024-10-30 06:44:22,277 - lightrag - INFO - get_node:query:MATCH (n:`CAMDEN TOWN`) RETURN n:result:"Camden Town is a location mentioned as Bob Cratchit\'s home, highlighting the setting of his personal life.""Camden Town is a location mentioned as Bob Cratchit\'s home, highlighting the setting of his personal life.""Camden Town is a location mentioned as Bob Cratchit\'s home, highlighting the setting of his personal life.""Camden Town is a location mentioned in relation to the logistics of transporting a large turkey.""Camden Town is a location where Bob Cratchit runs home to celebrate Christmas Eve, representing a more joyful and lively setting.""Camden Town is mentioned as a location related to the transportation of a turkey in a humorous context during the holiday season.""Camden Town is mentioned as a location related to the transportation of a turkey in a humorous context during the holiday season.""Camden Town is mentioned as a location related to the transportation of a turkey in a humorous context during the holiday season.""Camden Town is mentioned as a location related to the transportation of a turkey in a humorous context during the holiday season."', 'source_id': 'chunk-d9aac3484185ac66045df92214d245d5chunk-8f738cb25d60a7dab782162d9d0a25ed'}> +2024-10-30 06:44:22,406 - lightrag - INFO - _do_upsert:query: + MERGE (n:`CAMDEN TOWN`) + SET n += $properties + RETURN n + :result:{'entity_type': '"GEO"', 'description': '"Camden Town is a location mentioned as Bob Cratchit\'s home, highlighting the setting of his personal life.""Camden Town is a location mentioned as Bob Cratchit\'s home, highlighting the setting of his personal life.""Camden Town is a location mentioned as Bob Cratchit\'s home, highlighting the setting of his personal life.""Camden Town is a location mentioned as Bob Cratchit\'s home, highlighting the setting of his personal life.""Camden Town is a location mentioned as Bob Cratchit\'s home, highlighting the setting of his personal life.""Camden Town is a location mentioned in relation to the logistics of transporting a large turkey.""Camden Town is a location where Bob Cratchit runs home to celebrate Christmas Eve, representing a more joyful and lively setting.""Camden Town is mentioned as a location related to the transportation of a turkey in a humorous context during the holiday season.""Camden Town is mentioned as a location related to the transportation of a turkey in a humorous context during the holiday season.""Camden Town is mentioned as a location related to the transportation of a turkey in a humorous context during the holiday season.""Camden Town is mentioned as a location related to the transportation of a turkey in a humorous context during the holiday season.""Camden Town is mentioned as a location related to the transportation of a turkey in a humorous context during the holiday season."', 'source_id': 'chunk-d9aac3484185ac66045df92214d245d5chunk-8f738cb25d60a7dab782162d9d0a25ed'} +2024-10-30 06:44:22,535 - lightrag - INFO - get_node:query:MATCH (n:`THE COUNTING-HOUSE`) RETURN n:result:"The Counting-House is where Scrooge works and is characterized by its cold and unwelcoming environment.""The Counting-House is the place where Scrooge works, reflecting a business environment lacking warmth or joy.""The Counting-House is the place where Scrooge works, reflecting a business environment lacking warmth or joy.""The Counting-House is the place where Scrooge works, reflecting a business environment lacking warmth or joy.""The Counting-House is the place where Scrooge works, reflecting a business environment lacking warmth or joy."', 'source_id': 'chunk-74e2466de2f67fd710ef2f20c0a8d9e0chunk-d9aac3484185ac66045df92214d245d5'}> +2024-10-30 06:44:22,673 - lightrag - INFO - _do_upsert:query: + MERGE (n:`THE COUNTING-HOUSE`) + SET n += $properties + RETURN n + :result:{'entity_type': '"ORGANIZATION"', 'description': '"The Counting-House is Scrooge\'s place of work, characterized by a gloomy demeanor and an atmosphere that reflects Scrooge\'s character.""The Counting-House is where Scrooge works and is characterized by its cold and unwelcoming environment.""The Counting-House is the place where Scrooge works, reflecting a business environment lacking warmth or joy.""The Counting-House is the place where Scrooge works, reflecting a business environment lacking warmth or joy.""The Counting-House is the place where Scrooge works, reflecting a business environment lacking warmth or joy.""The Counting-House is the place where Scrooge works, reflecting a business environment lacking warmth or joy.""The Counting-House is the place where Scrooge works, reflecting a business environment lacking warmth or joy."', 'source_id': 'chunk-d9aac3484185ac66045df92214d245d5chunk-74e2466de2f67fd710ef2f20c0a8d9e0'} +2024-10-30 06:44:22,801 - lightrag - INFO - get_node:query:MATCH (n:`THE KNOCKER`) RETURN n:result:"The Knocker is a feature on Scrooge\'s door, which takes on a mystical quality when Scrooge perceives Marley\'s face in it.""The Knocker is a feature on Scrooge\'s door, which takes on a mystical quality when Scrooge perceives Marley\'s face in it.""The Knocker is a feature on Scrooge\'s door, which takes on a mystical quality when Scrooge perceives Marley\'s face in it.""The Knocker is a physical object that becomes a symbol of Scrooge\'s psyche, transforming into Marley\'s face, representing his guilt and past.""The Knocker is an ornate door knocker that Scrooge admires, reflecting his newfound appreciation for simple joys.""The Knocker on the door serves as a symbolic gateway to the supernatural events, being the first point of eerie interaction for Scrooge.""The Knocker is a physical object that symbolizes Scrooge\'s newfound appreciation for the simple, honest joys of life during Christmas.""The Knocker is a physical object that symbolizes Scrooge\'s newfound appreciation for the simple, honest joys of life during Christmas.""The Knocker is a physical object that symbolizes Scrooge\'s newfound appreciation for the simple, honest joys of life during Christmas.""The Knocker is a physical object that symbolizes Scrooge\'s newfound appreciation for the simple, honest joys of life during Christmas."', 'source_id': 'chunk-9c43dac2fcd5b578242d907ea6f8fc7bchunk-d9aac3484185ac66045df92214d245d5chunk-8f738cb25d60a7dab782162d9d0a25ed'}> +2024-10-30 06:44:22,942 - lightrag - INFO - _do_upsert:query: + MERGE (n:`THE KNOCKER`) + SET n += $properties + RETURN n + :result:{'entity_type': '"ORGANIZATION"', 'description': '"The Knocker is a feature on Scrooge\'s door, which takes on a mystical quality when Scrooge perceives Marley\'s face in it.""The Knocker is a feature on Scrooge\'s door, which takes on a mystical quality when Scrooge perceives Marley\'s face in it.""The Knocker is a feature on Scrooge\'s door, which takes on a mystical quality when Scrooge perceives Marley\'s face in it.""The Knocker is a feature on Scrooge\'s door, which takes on a mystical quality when Scrooge perceives Marley\'s face in it.""The Knocker is a feature on Scrooge\'s door, which takes on a mystical quality when Scrooge perceives Marley\'s face in it.""The Knocker is a physical object that becomes a symbol of Scrooge\'s psyche, transforming into Marley\'s face, representing his guilt and past.""The Knocker is an ornate door knocker that Scrooge admires, reflecting his newfound appreciation for simple joys.""The Knocker on the door serves as a symbolic gateway to the supernatural events, being the first point of eerie interaction for Scrooge.""The Knocker is a physical object that symbolizes Scrooge\'s newfound appreciation for the simple, honest joys of life during Christmas.""The Knocker is a physical object that symbolizes Scrooge\'s newfound appreciation for the simple, honest joys of life during Christmas.""The Knocker is a physical object that symbolizes Scrooge\'s newfound appreciation for the simple, honest joys of life during Christmas.""The Knocker is a physical object that symbolizes Scrooge\'s newfound appreciation for the simple, honest joys of life during Christmas.""The Knocker is a physical object that symbolizes Scrooge\'s newfound appreciation for the simple, honest joys of life during Christmas."', 'source_id': 'chunk-d9aac3484185ac66045df92214d245d5chunk-9c43dac2fcd5b578242d907ea6f8fc7bchunk-8f738cb25d60a7dab782162d9d0a25ed'} +2024-10-30 06:44:23,070 - lightrag - INFO - get_node:query:MATCH (n:`THE COUNTING-HOUSE CLERK`) RETURN n:result: +2024-10-30 06:44:23,200 - lightrag - INFO - _do_upsert:query: + MERGE (n:`THE COUNTING-HOUSE CLERK`) + SET n += $properties + RETURN n + :result:{'entity_type': '"PERSON"', 'description': '"The Counting-House Clerk is an unnamed character who interacts with Scrooge, representing the workforce under Scrooge\'s employment."', 'source_id': 'chunk-d9aac3484185ac66045df92214d245d5'} +2024-10-30 06:44:23,329 - lightrag - INFO - get_node:query:MATCH (n:`THE CANDLE`) RETURN n:result:"The Candle is a source of light that Scrooge lights as he enters his home, symbolizing the struggle against darkness and isolation.""The Candle is a source of light that Scrooge lights as he enters his home, symbolizing the struggle against darkness and isolation.""The Candle is a source of light that Scrooge lights as he enters his home, symbolizing the struggle against darkness and isolation.""The Candle represents a source of light in Scrooge\'s dark life, emphasizing the contrast between warmth and isolation."', 'source_id': 'chunk-9c43dac2fcd5b578242d907ea6f8fc7bchunk-d9aac3484185ac66045df92214d245d5'}> +2024-10-30 06:44:23,457 - lightrag - INFO - _do_upsert:query: + MERGE (n:`THE CANDLE`) + SET n += $properties + RETURN n + :result:{'entity_type': '"TECHNOLOGY"', 'description': '"The Candle is a source of light that Scrooge lights as he enters his home, symbolizing the struggle against darkness and isolation.""The Candle is a source of light that Scrooge lights as he enters his home, symbolizing the struggle against darkness and isolation.""The Candle is a source of light that Scrooge lights as he enters his home, symbolizing the struggle against darkness and isolation.""The Candle is a source of light that Scrooge lights as he enters his home, symbolizing the struggle against darkness and isolation.""The Candle is a source of light that Scrooge lights as he enters his home, symbolizing the struggle against darkness and isolation.""The Candle represents a source of light in Scrooge\'s dark life, emphasizing the contrast between warmth and isolation."', 'source_id': 'chunk-d9aac3484185ac66045df92214d245d5chunk-9c43dac2fcd5b578242d907ea6f8fc7b'} +2024-10-30 06:44:23,584 - lightrag - INFO - get_node:query:MATCH (n:`THE YARD`) RETURN n:result: +2024-10-30 06:44:23,714 - lightrag - INFO - _do_upsert:query: + MERGE (n:`THE YARD`) + SET n += $properties + RETURN n + :result:{'entity_type': '"GEO"', 'description': '"The Yard refers to the dark and gloomy space behind Scrooge\'s residence, creating an atmosphere of loneliness and despair."', 'source_id': 'chunk-d9aac3484185ac66045df92214d245d5'} +2024-10-30 06:44:23,844 - lightrag - INFO - get_node:query:MATCH (n:`THE FOG AND FROST`) RETURN n:result: +2024-10-30 06:44:23,978 - lightrag - INFO - _do_upsert:query: + MERGE (n:`THE FOG AND FROST`) + SET n += $properties + RETURN n + :result:{'entity_type': '"CONCEPT"', 'description': '"The Fog and Frost symbolize the coldness and obscurity surrounding Scrooge\'s life and mindset, enhancing the gloomy atmosphere."', 'source_id': 'chunk-d9aac3484185ac66045df92214d245d5'} +2024-10-30 06:44:24,106 - lightrag - INFO - get_node:query:MATCH (n:`THE GHOST OF MARLEY`) RETURN n:result:"The Ghost of Marley refers to the apparition that appears to Scrooge, serving as a catalyst for his transformation and moral reckoning.""The Ghost of Marley refers to the apparition that appears to Scrooge, serving as a catalyst for his transformation and moral reckoning.""The Ghost of Marley refers to the apparition that appears to Scrooge, serving as a catalyst for his transformation and moral reckoning.""The Ghost of Marley refers to the apparition that appears to Scrooge, serving as a catalyst for his transformation and moral reckoning."', 'source_id': 'chunk-d9aac3484185ac66045df92214d245d5'}> +2024-10-30 06:44:24,238 - lightrag - INFO - _do_upsert:query: + MERGE (n:`THE GHOST OF MARLEY`) + SET n += $properties + RETURN n + :result:{'entity_type': '"EVENT"', 'description': '"The Ghost of Marley is an event that is anticipated in the narrative, representing Scrooge\'s confrontation with his past and the supernatural.""The Ghost of Marley refers to the apparition that appears to Scrooge, serving as a catalyst for his transformation and moral reckoning.""The Ghost of Marley refers to the apparition that appears to Scrooge, serving as a catalyst for his transformation and moral reckoning.""The Ghost of Marley refers to the apparition that appears to Scrooge, serving as a catalyst for his transformation and moral reckoning.""The Ghost of Marley refers to the apparition that appears to Scrooge, serving as a catalyst for his transformation and moral reckoning.""The Ghost of Marley refers to the apparition that appears to Scrooge, serving as a catalyst for his transformation and moral reckoning."', 'source_id': 'chunk-d9aac3484185ac66045df92214d245d5'} +2024-10-30 06:44:24,365 - lightrag - INFO - get_node:query:MATCH (n:`LONDON`) RETURN n:result:"London is the city where the narrative takes place, representing a central location in the story.""London is the city where the narrative takes place, representing a central location in the story.""London is the city where the narrative takes place, representing a central location in the story.""London serves as the general setting for the story, although its specific mention relates to an animal in the context of a game.""London serves as the geographical setting for the story, encapsulating the harsh winter atmosphere and the life of its inhabitants during the festive season.""London serves as the setting where the events take place, adding a cultural backdrop to the Christmas gathering.""London serves as the setting for the story, highlighting the bustling yet isolating environment in which Scrooge lives.""London serves as the general setting for the story, although its specific mention relates to an animal in the context of a game.""London serves as the setting for the story, highlighting the bustling yet isolating environment in which Scrooge lives.""London serves as the general setting for the story, although its specific mention relates to an animal in the context of a game.""London serves as the setting for the story, highlighting the bustling yet isolating environment in which Scrooge lives.""London serves as the general setting for the story, although its specific mention relates to an animal in the context of a game.""London serves as the setting for the story, highlighting the bustling yet isolating environment in which Scrooge lives."', 'source_id': 'chunk-43c9bee23adfa77aa9dedd22401bba7dchunk-e7637ff18c5ded77a68cce0a87883fadchunk-d9aac3484185ac66045df92214d245d5'}> +2024-10-30 06:44:24,497 - lightrag - INFO - _do_upsert:query: + MERGE (n:`LONDON`) + SET n += $properties + RETURN n + :result:{'entity_type': '"GEO"', 'description': '"London is the city where the narrative takes place, representing a central location in the story.""London is the city where the narrative takes place, representing a central location in the story.""London is the city where the narrative takes place, representing a central location in the story.""London is the city where the narrative takes place, representing a central location in the story.""London is the city where the narrative takes place, representing a central location in the story.""London serves as the general setting for the story, although its specific mention relates to an animal in the context of a game.""London serves as the geographical setting for the story, encapsulating the harsh winter atmosphere and the life of its inhabitants during the festive season.""London serves as the setting where the events take place, adding a cultural backdrop to the Christmas gathering.""London serves as the setting for the story, highlighting the bustling yet isolating environment in which Scrooge lives.""London serves as the general setting for the story, although its specific mention relates to an animal in the context of a game.""London serves as the setting for the story, highlighting the bustling yet isolating environment in which Scrooge lives.""London serves as the general setting for the story, although its specific mention relates to an animal in the context of a game.""London serves as the setting for the story, highlighting the bustling yet isolating environment in which Scrooge lives.""London serves as the general setting for the story, although its specific mention relates to an animal in the context of a game.""London serves as the setting for the story, highlighting the bustling yet isolating environment in which Scrooge lives.""London serves as the general setting for the story, although its specific mention relates to an animal in the context of a game.""London serves as the setting for the story, highlighting the bustling yet isolating environment in which Scrooge lives."', 'source_id': 'chunk-d9aac3484185ac66045df92214d245d5chunk-43c9bee23adfa77aa9dedd22401bba7dchunk-e7637ff18c5ded77a68cce0a87883fad'} +2024-10-30 06:44:24,624 - lightrag - INFO - get_node:query:MATCH (n:`THE HOUSE`) RETURN n:result:"The House is the setting for Scrooge\'s encounters, characterized by its darkness, the creaking sounds, and the presence of the ghost.""The House is the setting for Scrooge\'s encounters, characterized by its darkness, the creaking sounds, and the presence of the ghost.""The House is the setting for Scrooge\'s encounters, characterized by its darkness, the creaking sounds, and the presence of the ghost.""The House is the setting for the Christmas celebration and interactions among the characters, embodying warmth and family togetherness.""The House is the setting where Scrooge experiences the haunting, with a description of its features contributing to the eerie atmosphere."', 'source_id': 'chunk-9c43dac2fcd5b578242d907ea6f8fc7bchunk-da2472b4ef2a535b62908f14d0fb0ca9'}> +2024-10-30 06:44:24,755 - lightrag - INFO - _do_upsert:query: + MERGE (n:`THE HOUSE`) + SET n += $properties + RETURN n + :result:{'entity_type': '"GEO"', 'description': '"The House is the setting for Scrooge\'s encounters, characterized by its darkness, the creaking sounds, and the presence of the ghost.""The House is the setting for Scrooge\'s encounters, characterized by its darkness, the creaking sounds, and the presence of the ghost.""The House is the setting for Scrooge\'s encounters, characterized by its darkness, the creaking sounds, and the presence of the ghost.""The House is the setting for Scrooge\'s encounters, characterized by its darkness, the creaking sounds, and the presence of the ghost.""The House is the setting for Scrooge\'s encounters, characterized by its darkness, the creaking sounds, and the presence of the ghost.""The House is the setting for the Christmas celebration and interactions among the characters, embodying warmth and family togetherness.""The House is the setting where Scrooge experiences the haunting, with a description of its features contributing to the eerie atmosphere."', 'source_id': 'chunk-da2472b4ef2a535b62908f14d0fb0ca9chunk-9c43dac2fcd5b578242d907ea6f8fc7b'} +2024-10-30 06:44:24,885 - lightrag - INFO - get_node:query:MATCH (n:`THE GHOST`) RETURN n:result:chunk-cb661c37436355ccec2769b1d0350c5fchunk-8590d9263cd2cd4fa583c432fc54e6c3chunk-1aa50206d02ed89418f65f97c6441d1cchunk-e7637ff18c5ded77a68cce0a87883fadchunk-da2472b4ef2a535b62908f14d0fb0ca9chunk-54bdd22db1f84a965b5f4c06c9216d8dchunk-83ac129dc9b56f84c46760d153d68e93chunk-c7b10789a9cb0af6c553730b29bd9034chunk-359187e7571bda4b0b08b2e0b6581e52chunk-02baee20cc9463dbe08170a8e1043e32chunk-43c9bee23adfa77aa9dedd22401bba7dchunk-c6c248858d1b13ab7ee9ca13c1aeed6b'}> +2024-10-30 06:44:24,887 - lightrag - DEBUG - Trigger summary: "THE GHOST" +2024-10-30 06:44:24,985 - lightrag - INFO - get_node:query:MATCH (n:`THE BELL`) RETURN n:result:"The Bell is described as a disused bell that starts to swing and ring during the haunting, signifying the onset of supernatural occurrences.""The Bell is a disused bell in Scrooge\'s room, which begins to swing and rings out loudly, heralding the appearance of Marley\'s Ghost.""The Bell is a disused bell in Scrooge\'s room, which begins to swing and rings out loudly, heralding the appearance of Marley\'s Ghost.""The Bell is a disused bell in Scrooge\'s room, which begins to swing and rings out loudly, heralding the appearance of Marley\'s Ghost.""The Bell is a disused bell in Scrooge\'s room, which begins to swing and rings out loudly, heralding the appearance of Marley\'s Ghost."', 'source_id': 'chunk-9c43dac2fcd5b578242d907ea6f8fc7bchunk-cb661c37436355ccec2769b1d0350c5f'}> +2024-10-30 06:44:25,116 - lightrag - INFO - _do_upsert:query: + MERGE (n:`THE BELL`) + SET n += $properties + RETURN n + :result:{'entity_type': '"GEO"', 'description': '"The Bell is a church bell that signifies the time passing and marks the moments of Scrooge\'s encounters with the ghosts.""The Bell is described as a disused bell that starts to swing and ring during the haunting, signifying the onset of supernatural occurrences.""The Bell is a disused bell in Scrooge\'s room, which begins to swing and rings out loudly, heralding the appearance of Marley\'s Ghost.""The Bell is a disused bell in Scrooge\'s room, which begins to swing and rings out loudly, heralding the appearance of Marley\'s Ghost.""The Bell is a disused bell in Scrooge\'s room, which begins to swing and rings out loudly, heralding the appearance of Marley\'s Ghost.""The Bell is a disused bell in Scrooge\'s room, which begins to swing and rings out loudly, heralding the appearance of Marley\'s Ghost.""The Bell is a disused bell in Scrooge\'s room, which begins to swing and rings out loudly, heralding the appearance of Marley\'s Ghost."', 'source_id': 'chunk-9c43dac2fcd5b578242d907ea6f8fc7bchunk-cb661c37436355ccec2769b1d0350c5f'} +2024-10-30 06:44:25,247 - lightrag - INFO - get_node:query:MATCH (n:`THE WINE-MERCHANT'S CELLAR`) RETURN n:result:"The Wine-Merchant\'s Cellar is a location within The House where sounds of dragging chains are heard, signifying a haunted presence.""The Wine-Merchant\'s Cellar is a location within The House where sounds of dragging chains are heard, signifying a haunted presence.""The Wine-Merchant\'s Cellar is a location within The House where sounds of dragging chains are heard, signifying a haunted presence.""The Wine-Merchant\'s Cellar is a location within The House where sounds of dragging chains are heard, signifying a haunted presence."', 'source_id': 'chunk-9c43dac2fcd5b578242d907ea6f8fc7b'}> +2024-10-30 06:44:25,379 - lightrag - INFO - _do_upsert:query: + MERGE (n:`THE WINE-MERCHANT'S CELLAR`) + SET n += $properties + RETURN n + :result:{'entity_type': '"GEO"', 'description': '"The Wine-Merchant\'s Cellar is a location that holds significance in the story, where sounds of dragging chains are heard, adding to the ghostly ambiance.""The Wine-Merchant\'s Cellar is a location within The House where sounds of dragging chains are heard, signifying a haunted presence.""The Wine-Merchant\'s Cellar is a location within The House where sounds of dragging chains are heard, signifying a haunted presence.""The Wine-Merchant\'s Cellar is a location within The House where sounds of dragging chains are heard, signifying a haunted presence.""The Wine-Merchant\'s Cellar is a location within The House where sounds of dragging chains are heard, signifying a haunted presence.""The Wine-Merchant\'s Cellar is a location within The House where sounds of dragging chains are heard, signifying a haunted presence."', 'source_id': 'chunk-9c43dac2fcd5b578242d907ea6f8fc7b'} +2024-10-30 06:44:25,507 - lightrag - INFO - get_node:query:MATCH (n:`THE DYING FLAME`) RETURN n:result:"The Dying Flame represents the fear and uncertainty in Scrooge as it reacts to the presence of Marley’s Ghost, adding to the eerie atmosphere.""The Dying Flame represents the fear and uncertainty in Scrooge as it reacts to the presence of Marley’s Ghost, adding to the eerie atmosphere.""The Dying Flame represents the fear and uncertainty in Scrooge as it reacts to the presence of Marley’s Ghost, adding to the eerie atmosphere.""The Dying Flame signifies the waning spirit of Scrooge, momentarily invigorated by the arrival of the ghost as a metaphor for his fading humanity.""The Dying Flame signifies the waning spirit of Scrooge, momentarily invigorated by the arrival of the ghost as a metaphor for his fading humanity.""The Dying Flame signifies the waning spirit of Scrooge, momentarily invigorated by the arrival of the ghost as a metaphor for his fading humanity.""The Dying Flame signifies the waning spirit of Scrooge, momentarily invigorated by the arrival of the ghost as a metaphor for his fading humanity."', 'source_id': 'chunk-9c43dac2fcd5b578242d907ea6f8fc7bchunk-1aa50206d02ed89418f65f97c6441d1c'}> +2024-10-30 06:44:25,634 - lightrag - INFO - _do_upsert:query: + MERGE (n:`THE DYING FLAME`) + SET n += $properties + RETURN n + :result:{'entity_type': '"CONCEPT"', 'description': '"The Dying Flame represents the fear and uncertainty in Scrooge as it reacts to the presence of Marley’s Ghost, adding to the eerie atmosphere.""The Dying Flame represents the fear and uncertainty in Scrooge as it reacts to the presence of Marley’s Ghost, adding to the eerie atmosphere.""The Dying Flame represents the fear and uncertainty in Scrooge as it reacts to the presence of Marley’s Ghost, adding to the eerie atmosphere.""The Dying Flame represents the fear and uncertainty in Scrooge as it reacts to the presence of Marley’s Ghost, adding to the eerie atmosphere.""The Dying Flame represents the fear and uncertainty in Scrooge as it reacts to the presence of Marley’s Ghost, adding to the eerie atmosphere.""The Dying Flame signifies the waning spirit of Scrooge, momentarily invigorated by the arrival of the ghost as a metaphor for his fading humanity.""The Dying Flame signifies the waning spirit of Scrooge, momentarily invigorated by the arrival of the ghost as a metaphor for his fading humanity.""The Dying Flame signifies the waning spirit of Scrooge, momentarily invigorated by the arrival of the ghost as a metaphor for his fading humanity.""The Dying Flame signifies the waning spirit of Scrooge, momentarily invigorated by the arrival of the ghost as a metaphor for his fading humanity.""The Dying Flame signifies the waning spirit of Scrooge, momentarily invigorated by the arrival of the ghost as a metaphor for his fading humanity."', 'source_id': 'chunk-9c43dac2fcd5b578242d907ea6f8fc7bchunk-1aa50206d02ed89418f65f97c6441d1c'} +2024-10-30 06:44:25,762 - lightrag - INFO - get_node:query:MATCH (n:`THE GRATE`) RETURN n:result:"The Grate is a small fire in Scrooge\'s room that provides meager warmth, symbolizing Scrooge\'s cold disposition.""The Grate is a small fire in Scrooge\'s room that provides meager warmth, symbolizing Scrooge\'s cold disposition.""The Grate is a small fire in Scrooge\'s room that provides meager warmth, symbolizing Scrooge\'s cold disposition.""The Grate is part of Scrooge\'s room where a small fire burns, contributing to the bleak and cold atmosphere of his setting."', 'source_id': 'chunk-9c43dac2fcd5b578242d907ea6f8fc7b'}> +2024-10-30 06:44:25,896 - lightrag - INFO - _do_upsert:query: + MERGE (n:`THE GRATE`) + SET n += $properties + RETURN n + :result:{'entity_type': '"GEO"', 'description': '"The Grate is a small fire in Scrooge\'s room that provides meager warmth, symbolizing Scrooge\'s cold disposition.""The Grate is a small fire in Scrooge\'s room that provides meager warmth, symbolizing Scrooge\'s cold disposition.""The Grate is a small fire in Scrooge\'s room that provides meager warmth, symbolizing Scrooge\'s cold disposition.""The Grate is a small fire in Scrooge\'s room that provides meager warmth, symbolizing Scrooge\'s cold disposition.""The Grate is a small fire in Scrooge\'s room that provides meager warmth, symbolizing Scrooge\'s cold disposition.""The Grate is part of Scrooge\'s room where a small fire burns, contributing to the bleak and cold atmosphere of his setting."', 'source_id': 'chunk-9c43dac2fcd5b578242d907ea6f8fc7b'} +2024-10-30 06:44:26,023 - lightrag - INFO - get_node:query:MATCH (n:`SCROOGE'S DRESSING-GOWN`) RETURN n:result: +2024-10-30 06:44:26,158 - lightrag - INFO - _do_upsert:query: + MERGE (n:`SCROOGE'S DRESSING-GOWN`) + SET n += $properties + RETURN n + :result:{'entity_type': '"CONCEPT"', 'description': '"Scrooge\'s Dressing-Gown represents his reluctance to engage with the world outside, emphasizing his isolation and contentment with solitude."', 'source_id': 'chunk-9c43dac2fcd5b578242d907ea6f8fc7b'} +2024-10-30 06:44:26,286 - lightrag - INFO - get_node:query:MATCH (n:`GRUE`) RETURN n:result: +2024-10-30 06:44:26,423 - lightrag - INFO - _do_upsert:query: + MERGE (n:`GRUE`) + SET n += $properties + RETURN n + :result:{'entity_type': '"GEO"', 'description': '"Grue is the small saucepan of gruel prepared by Scrooge, indicating his minimalistic lifestyle and frugality."', 'source_id': 'chunk-9c43dac2fcd5b578242d907ea6f8fc7b'} +2024-10-30 06:44:26,544 - lightrag - INFO - get_node:query:MATCH (n:`THE HEAVY CHAIN`) RETURN n:result: +2024-10-30 06:44:26,674 - lightrag - INFO - _do_upsert:query: + MERGE (n:`THE HEAVY CHAIN`) + SET n += $properties + RETURN n + :result:{'entity_type': '"CONCEPT"', 'description': '"The Heavy Chain is associated with the dragging noise heard by Scrooge, symbolizing the burdens of his past actions."', 'source_id': 'chunk-9c43dac2fcd5b578242d907ea6f8fc7b'} +2024-10-30 06:44:26,799 - lightrag - INFO - get_node:query:MATCH (n:`THE CASK`) RETURN n:result:"The Cask is part of the sounds emerging from the cellar, contributing to the eerie atmosphere surrounding Marley’s Ghost.""The Cask is part of the sounds emerging from the cellar, contributing to the eerie atmosphere surrounding Marley’s Ghost.""The Cask is part of the sounds emerging from the cellar, contributing to the eerie atmosphere surrounding Marley’s Ghost.""The Cask is part of the sounds emerging from the cellar, contributing to the eerie atmosphere surrounding Marley’s Ghost."', 'source_id': 'chunk-9c43dac2fcd5b578242d907ea6f8fc7b'}> +2024-10-30 06:44:26,932 - lightrag - INFO - _do_upsert:query: + MERGE (n:`THE CASK`) + SET n += $properties + RETURN n + :result:{'entity_type': '"GEO"', 'description': '"The Cask is part of the cellar, contributing to the sounds associated with Marley\'s Ghost and aiding in creating a sense of dread.""The Cask is part of the sounds emerging from the cellar, contributing to the eerie atmosphere surrounding Marley’s Ghost.""The Cask is part of the sounds emerging from the cellar, contributing to the eerie atmosphere surrounding Marley’s Ghost.""The Cask is part of the sounds emerging from the cellar, contributing to the eerie atmosphere surrounding Marley’s Ghost.""The Cask is part of the sounds emerging from the cellar, contributing to the eerie atmosphere surrounding Marley’s Ghost.""The Cask is part of the sounds emerging from the cellar, contributing to the eerie atmosphere surrounding Marley’s Ghost."', 'source_id': 'chunk-9c43dac2fcd5b578242d907ea6f8fc7b'} +2024-10-30 06:44:27,060 - lightrag - INFO - get_node:query:MATCH (n:`MARLEY'S GHOST`) RETURN n:result:"Marley\'s Ghost is a spectral figure that represents Scrooge\'s past partner who has returned to convey a message, encapsulating themes of guilt and redemption.""Marley\'s Ghost is a spectral figure that represents Scrooge\'s past partner who has returned to convey a message, encapsulating themes of guilt and redemption.""Marley\'s Ghost is a spectral figure that represents Scrooge\'s past partner who has returned to convey a message, encapsulating themes of guilt and redemption.""Marley\'s Ghost is a spectral figure who appears to Scrooge to warn him of the impending visits from three spirits, representing remorse for his past deeds.""Marley\'s Ghost is a spectral visitation that deeply troubles Scrooge and causes him great perplexity, leading him to question the reality of his experiences.""Marley\'s Ghost represents the supernatural apparition of Marley, who has been dead for seven years and symbolizes regret and warning to Scrooge.""Marley\'s Ghost is an unearthly visitor that appears to Scrooge, causing him to question the nature of reality and dreams.""Marley\'s Ghost is the spectral figure of Jacob Marley, who appears to forewarn Scrooge about his fate and the necessity of change in his life.""Marley\'s Ghost is an unearthly visitor that appears to Scrooge, causing him to question the nature of reality and dreams.""Marley\'s Ghost is the spectral figure of Jacob Marley, who appears to forewarn Scrooge about his fate and the necessity of change in his life.""Marley\'s Ghost is an unearthly visitor that appears to Scrooge, causing him to question the nature of reality and dreams.""Marley\'s Ghost is the spectral figure of Jacob Marley, who appears to forewarn Scrooge about his fate and the necessity of change in his life.""Marley\'s Ghost is an unearthly visitor that appears to Scrooge, causing him to question the nature of reality and dreams.""Marley\'s Ghost is the spectral figure of Jacob Marley, who appears to forewarn Scrooge about his fate and the necessity of change in his life."', 'source_id': 'chunk-1aa50206d02ed89418f65f97c6441d1cchunk-cb661c37436355ccec2769b1d0350c5fchunk-c7b10789a9cb0af6c553730b29bd9034chunk-9c43dac2fcd5b578242d907ea6f8fc7b'}> +2024-10-30 06:44:27,062 - lightrag - DEBUG - Trigger summary: "MARLEY'S GHOST" +2024-10-30 06:44:27,160 - lightrag - INFO - get_node:query:MATCH (n:`JACOB MARLEY`) RETURN n:result:chunk-cb661c37436355ccec2769b1d0350c5fchunk-da2472b4ef2a535b62908f14d0fb0ca9chunk-90b95db5c53e4364a6bee36b7aa4d70fchunk-359187e7571bda4b0b08b2e0b6581e52chunk-02baee20cc9463dbe08170a8e1043e32chunk-91572b3cd42786ba4cb2f180ca25cbf4'}> +2024-10-30 06:44:27,297 - lightrag - INFO - _do_upsert:query: + MERGE (n:`JACOB MARLEY`) + SET n += $properties + RETURN n + :result:{'entity_type': '"PERSON"', 'description': '"Jacob Marley is Scrooge\'s deceased business partner who appears as a ghost, wearing chains that symbolize his past misdeeds and the burden of his regrets.""Jacob Marley is Scrooge\'s deceased partner, who appears in spirit to influence Scrooge\'s journey towards redemption.""Jacob Marley is a spirit who influences Scrooge\'s change of heart, representing a connection to Scrooge\'s past and the theme of redemption.""Jacob Marley is the deceased business partner of Scrooge, whose ghost visits him to convey a message about the importance of charity and kindness.""Jacob Marley is the deceased partner of Scrooge who shows concern for Scrooge\'s fate and the importance of change in his life.""Jacob Marley is the ghost of Scrooge\'s former business partner, who foretells the consequences of Scrooge\'s selfishness and warns him to change his ways.""Jacob Marley is the ghost of Scrooge\'s former partner, who appears to warn Scrooge about his fate and the need for change in his life."Jacob Marley is Scrooge\'s deceased business partner, who appears as a ghost, prominently wearing chains that symbolize the burdens of his past misdeeds and the weight of his regrets. As a spirit, Marley plays a pivotal role in influencing Ebenezer Scrooge\'s journey toward redemption. He visits Scrooge to convey significant messages about the dire consequences of a life devoid of compassion and the critical importance of charity and kindness.\n\nMarley\'s haunting presence serves as a warning to Scrooge about his impending fate if he continues on his selfish and isolated path. He is depicted as showing genuine concern for Scrooge\'s welfare and the necessity for transformative change in his life. Through his visitation, Marley acts as a catalyst, compelling Scrooge to reflect on his past actions and their impact on others. His connection to Scrooge\'s history reinforces the themes of redemption and personal responsibility, emphasizing the potential for transformation and renewal in the face of prior wrongdoings. Ultimately, Jacob Marley\'s spirit not only acts as a reminder of the consequences of one\'s choices but also highlights the possibility of change and growth through self-awareness and connection to humanity.', 'source_id': 'chunk-90b95db5c53e4364a6bee36b7aa4d70fchunk-359187e7571bda4b0b08b2e0b6581e52chunk-da2472b4ef2a535b62908f14d0fb0ca9chunk-02baee20cc9463dbe08170a8e1043e32chunk-1aa50206d02ed89418f65f97c6441d1cchunk-91572b3cd42786ba4cb2f180ca25cbf4chunk-cb661c37436355ccec2769b1d0350c5f'} +2024-10-30 06:44:27,430 - lightrag - INFO - get_node:query:MATCH (n:`THE CHAIN`) RETURN n:result:"The Chain symbolizes the burdens of the past that haunt the spirits, showcasing the consequences of one\'s actions in life.""The Chain represents the burdens of greed and the consequences of one\'s actions, worn by Marley\'s Ghost as a physical manifestation of his regrets.""The Chain represents the burdens of regret and guilt that haunt Marley and serve as a warning to Scrooge about the consequences of a life poorly lived.""The Chain represents the burdens of greed and the consequences of one\'s actions, worn by Marley\'s Ghost as a physical manifestation of his regrets.""The Chain represents the burdens of regret and guilt that haunt Marley and serve as a warning to Scrooge about the consequences of a life poorly lived.""The Chain represents the burdens of greed and the consequences of one\'s actions, worn by Marley\'s Ghost as a physical manifestation of his regrets.""The Chain represents the burdens of regret and guilt that haunt Marley and serve as a warning to Scrooge about the consequences of a life poorly lived.""The Chain represents the burdens of greed and the consequences of one\'s actions, worn by Marley\'s Ghost as a physical manifestation of his regrets.""The Chain represents the burdens of regret and guilt that haunt Marley and serve as a warning to Scrooge about the consequences of a life poorly lived."', 'source_id': 'chunk-1aa50206d02ed89418f65f97c6441d1cchunk-cb661c37436355ccec2769b1d0350c5fchunk-359187e7571bda4b0b08b2e0b6581e52'}> +2024-10-30 06:44:27,558 - lightrag - INFO - _do_upsert:query: + MERGE (n:`THE CHAIN`) + SET n += $properties + RETURN n + :result:{'entity_type': '"CONCEPT"', 'description': '"The Chain refers to the symbolic burden that Marley carries, representing the consequences of his actions and the remorse that traps him in his spectral form.""The Chain symbolizes the burdens of the past that haunt the spirits, showcasing the consequences of one\'s actions in life.""The Chain represents the burdens of greed and the consequences of one\'s actions, worn by Marley\'s Ghost as a physical manifestation of his regrets.""The Chain represents the burdens of regret and guilt that haunt Marley and serve as a warning to Scrooge about the consequences of a life poorly lived.""The Chain represents the burdens of greed and the consequences of one\'s actions, worn by Marley\'s Ghost as a physical manifestation of his regrets.""The Chain represents the burdens of regret and guilt that haunt Marley and serve as a warning to Scrooge about the consequences of a life poorly lived.""The Chain represents the burdens of greed and the consequences of one\'s actions, worn by Marley\'s Ghost as a physical manifestation of his regrets.""The Chain represents the burdens of regret and guilt that haunt Marley and serve as a warning to Scrooge about the consequences of a life poorly lived.""The Chain represents the burdens of greed and the consequences of one\'s actions, worn by Marley\'s Ghost as a physical manifestation of his regrets.""The Chain represents the burdens of regret and guilt that haunt Marley and serve as a warning to Scrooge about the consequences of a life poorly lived.""The Chain represents the burdens of greed and the consequences of one\'s actions, worn by Marley\'s Ghost as a physical manifestation of his regrets.""The Chain represents the burdens of regret and guilt that haunt Marley and serve as a warning to Scrooge about the consequences of a life poorly lived."', 'source_id': 'chunk-359187e7571bda4b0b08b2e0b6581e52chunk-cb661c37436355ccec2769b1d0350c5fchunk-1aa50206d02ed89418f65f97c6441d1c'} +2024-10-30 06:44:27,686 - lightrag - INFO - get_node:query:MATCH (n:`THE HEAVY DOOR`) RETURN n:result:"The Heavy Door symbolizes the threshold between life and death, as well as the barriers between Scrooge and the supernatural world.""The Heavy Door symbolizes the threshold between life and death, as well as the barriers between Scrooge and the supernatural world.""The Heavy Door symbolizes the threshold between life and death, as well as the barriers between Scrooge and the supernatural world.""The heavy door is a physical boundary encountered by Scrooge, marking the transition between the ordinary world and the supernatural visitation."', 'source_id': 'chunk-1aa50206d02ed89418f65f97c6441d1c'}> +2024-10-30 06:44:27,815 - lightrag - INFO - _do_upsert:query: + MERGE (n:`THE HEAVY DOOR`) + SET n += $properties + RETURN n + :result:{'entity_type': '"CONCEPT"', 'description': '"The Heavy Door symbolizes the threshold between life and death, as well as the barriers between Scrooge and the supernatural world.""The Heavy Door symbolizes the threshold between life and death, as well as the barriers between Scrooge and the supernatural world.""The Heavy Door symbolizes the threshold between life and death, as well as the barriers between Scrooge and the supernatural world.""The Heavy Door symbolizes the threshold between life and death, as well as the barriers between Scrooge and the supernatural world.""The Heavy Door symbolizes the threshold between life and death, as well as the barriers between Scrooge and the supernatural world.""The heavy door is a physical boundary encountered by Scrooge, marking the transition between the ordinary world and the supernatural visitation."', 'source_id': 'chunk-1aa50206d02ed89418f65f97c6441d1c'} +2024-10-30 06:44:27,943 - lightrag - INFO - get_node:query:MATCH (n:`THE SPECTRE`) RETURN n:result: +2024-10-30 06:44:28,076 - lightrag - INFO - _do_upsert:query: + MERGE (n:`THE SPECTRE`) + SET n += $properties + RETURN n + :result:{'entity_type': '"CONCEPT"', 'description': '"The Spectre refers to the ghostly presence of Marley that embodies the themes of haunting and reflection on one\'s life choices."', 'source_id': 'chunk-1aa50206d02ed89418f65f97c6441d1c'} +2024-10-30 06:44:28,202 - lightrag - INFO - get_node:query:MATCH (n:`INFERNAL ATMOSPHERE`) RETURN n:result: +2024-10-30 06:44:28,333 - lightrag - INFO - _do_upsert:query: + MERGE (n:`INFERNAL ATMOSPHERE`) + SET n += $properties + RETURN n + :result:{'entity_type': '"CONCEPT"', 'description': '"The Infernal Atmosphere refers to the unsettling environment surrounding Marley\'s Ghost, indicating the discomfort and fear associated with his presence."', 'source_id': 'chunk-1aa50206d02ed89418f65f97c6441d1c'} +2024-10-30 06:44:28,465 - lightrag - INFO - get_node:query:MATCH (n:`THE CHAIR`) RETURN n:result: +2024-10-30 06:44:28,594 - lightrag - INFO - _do_upsert:query: + MERGE (n:`THE CHAIR`) + SET n += $properties + RETURN n + :result:{'entity_type': '"CONCEPT"', 'description': '"The Chair represents the symbol of comfort and safety that Scrooge clings to while facing the terrifying apparition."', 'source_id': 'chunk-1aa50206d02ed89418f65f97c6441d1c'} +2024-10-30 06:44:28,720 - lightrag - INFO - get_node:query:MATCH (n:`THE VISION`) RETURN n:result: +2024-10-30 06:44:28,851 - lightrag - INFO - _do_upsert:query: + MERGE (n:`THE VISION`) + SET n += $properties + RETURN n + :result:{'entity_type': '"CONCEPT"', 'description': '"The Vision refers to the haunting imagery that Scrooge perceives, reflecting his inner turmoil and conflict with reality."', 'source_id': 'chunk-1aa50206d02ed89418f65f97c6441d1c'} +2024-10-30 06:44:28,978 - lightrag - INFO - get_node:query:MATCH (n:`THE BANDAGE`) RETURN n:result:"The Bandage represents the ghost\'s attempt to maintain semblance in his appearance while revealing his true ghostly form.""The Bandage represents the ghost\'s attempt to maintain semblance in his appearance while revealing his true ghostly form.""The Bandage represents the ghost\'s attempt to maintain semblance in his appearance while revealing his true ghostly form.""The bandage is an item used by the ghost, symbolizing decay and the remnants of Marley’s struggle with his own existence post-death."', 'source_id': 'chunk-1aa50206d02ed89418f65f97c6441d1c'}> +2024-10-30 06:44:29,116 - lightrag - INFO - _do_upsert:query: + MERGE (n:`THE BANDAGE`) + SET n += $properties + RETURN n + :result:{'entity_type': '"CONCEPT"', 'description': '"The Bandage represents the ghost\'s attempt to maintain semblance in his appearance while revealing his true ghostly form.""The Bandage represents the ghost\'s attempt to maintain semblance in his appearance while revealing his true ghostly form.""The Bandage represents the ghost\'s attempt to maintain semblance in his appearance while revealing his true ghostly form.""The Bandage represents the ghost\'s attempt to maintain semblance in his appearance while revealing his true ghostly form.""The Bandage represents the ghost\'s attempt to maintain semblance in his appearance while revealing his true ghostly form.""The bandage is an item used by the ghost, symbolizing decay and the remnants of Marley’s struggle with his own existence post-death."', 'source_id': 'chunk-1aa50206d02ed89418f65f97c6441d1c'} +2024-10-30 06:44:29,278 - lightrag - INFO - get_node:query:MATCH (n:`GHOST`) RETURN n:result:"The Ghost refers to the spirit guiding Scrooge, embodying the themes of memory and reflection on the joys of Christmas.""The Ghost represents a spiritual guide that takes Scrooge on a journey to learn important lessons about compassion and humanity.""The Ghost serves as a supernatural guide for Scrooge, prompting him to reflect on his life and choices.""The Ghost is the spirit of Jacob Marley, who expresses remorse for his life and warns Scrooge about the consequences of ignoring his moral duties.""The Ghost is the spirit of Jacob Marley, who expresses remorse for his life and warns Scrooge about the consequences of ignoring his moral duties.""The Ghost is the spirit of Jacob Marley, who expresses remorse for his life and warns Scrooge about the consequences of ignoring his moral duties.""The Ghost is the spirit of Jacob Marley, who expresses remorse for his life and warns Scrooge about the consequences of ignoring his moral duties."', 'source_id': 'chunk-e7637ff18c5ded77a68cce0a87883fadchunk-503f0bfa5453467c7c61d160a3540ecachunk-359187e7571bda4b0b08b2e0b6581e52chunk-43c9bee23adfa77aa9dedd22401bba7dchunk-c6c248858d1b13ab7ee9ca13c1aeed6b'}> +2024-10-30 06:44:29,410 - lightrag - INFO - _do_upsert:query: + MERGE (n:`GHOST`) + SET n += $properties + RETURN n + :result:{'entity_type': '"PERSON"', 'description': '"The Ghost is a supernatural entity that provides guidance and reflection on Scrooge\'s past, representing moral and societal themes.""The Ghost refers to the spirit guiding Scrooge, embodying the themes of memory and reflection on the joys of Christmas.""The Ghost represents a spiritual guide that takes Scrooge on a journey to learn important lessons about compassion and humanity.""The Ghost serves as a supernatural guide for Scrooge, prompting him to reflect on his life and choices.""The Ghost is the spirit of Jacob Marley, who expresses remorse for his life and warns Scrooge about the consequences of ignoring his moral duties.""The Ghost is the spirit of Jacob Marley, who expresses remorse for his life and warns Scrooge about the consequences of ignoring his moral duties.""The Ghost is the spirit of Jacob Marley, who expresses remorse for his life and warns Scrooge about the consequences of ignoring his moral duties.""The Ghost is the spirit of Jacob Marley, who expresses remorse for his life and warns Scrooge about the consequences of ignoring his moral duties.""The Ghost is the spirit of Jacob Marley, who expresses remorse for his life and warns Scrooge about the consequences of ignoring his moral duties."', 'source_id': 'chunk-43c9bee23adfa77aa9dedd22401bba7dchunk-e7637ff18c5ded77a68cce0a87883fadchunk-359187e7571bda4b0b08b2e0b6581e52chunk-c6c248858d1b13ab7ee9ca13c1aeed6bchunk-503f0bfa5453467c7c61d160a3540eca'} +2024-10-30 06:44:29,536 - lightrag - INFO - get_node:query:MATCH (n:`CHRISTMAS EVES`) RETURN n:result:"Christmas Eves refer to the time periods associated with the spirits\' visits, specifically connecting to themes of reflection and redemption during the festive season.""Christmas Eves refer to the time periods associated with the spirits\' visits, specifically connecting to themes of reflection and redemption during the festive season.""Christmas Eves refer to the time periods associated with the spirits\' visits, specifically connecting to themes of reflection and redemption during the festive season.""Christmas Eves refers to the recurring time periods that Marley reflects upon, indicating the weight of his past decisions leading to regret."', 'source_id': 'chunk-359187e7571bda4b0b08b2e0b6581e52'}> +2024-10-30 06:44:29,674 - lightrag - INFO - _do_upsert:query: + MERGE (n:`CHRISTMAS EVES`) + SET n += $properties + RETURN n + :result:{'entity_type': '"EVENT"', 'description': '"Christmas Eves refer to the time periods associated with the spirits\' visits, specifically connecting to themes of reflection and redemption during the festive season.""Christmas Eves refer to the time periods associated with the spirits\' visits, specifically connecting to themes of reflection and redemption during the festive season.""Christmas Eves refer to the time periods associated with the spirits\' visits, specifically connecting to themes of reflection and redemption during the festive season.""Christmas Eves refer to the time periods associated with the spirits\' visits, specifically connecting to themes of reflection and redemption during the festive season.""Christmas Eves refer to the time periods associated with the spirits\' visits, specifically connecting to themes of reflection and redemption during the festive season.""Christmas Eves refers to the recurring time periods that Marley reflects upon, indicating the weight of his past decisions leading to regret."', 'source_id': 'chunk-359187e7571bda4b0b08b2e0b6581e52'} +2024-10-30 06:44:29,803 - lightrag - INFO - get_node:query:MATCH (n:`MANKIND`) RETURN n:result:"Mankind is referenced as a significant concern that should have been the focus of Scrooge\'s life, highlighting the importance of universal compassion and care.""Mankind is referenced as a significant concern that should have been the focus of Scrooge\'s life, highlighting the importance of universal compassion and care.""Mankind is referenced as a significant concern that should have been the focus of Scrooge\'s life, highlighting the importance of universal compassion and care.""Mankind signifies the broader human community, which Marley claims should be the focus of compassionate effort rather than mere business pursuits."', 'source_id': 'chunk-359187e7571bda4b0b08b2e0b6581e52'}> +2024-10-30 06:44:29,939 - lightrag - INFO - _do_upsert:query: + MERGE (n:`MANKIND`) + SET n += $properties + RETURN n + :result:{'entity_type': '"CONCEPT"', 'description': '"Mankind is referenced as a significant concern that should have been the focus of Scrooge\'s life, highlighting the importance of universal compassion and care.""Mankind is referenced as a significant concern that should have been the focus of Scrooge\'s life, highlighting the importance of universal compassion and care.""Mankind is referenced as a significant concern that should have been the focus of Scrooge\'s life, highlighting the importance of universal compassion and care.""Mankind is referenced as a significant concern that should have been the focus of Scrooge\'s life, highlighting the importance of universal compassion and care.""Mankind is referenced as a significant concern that should have been the focus of Scrooge\'s life, highlighting the importance of universal compassion and care.""Mankind signifies the broader human community, which Marley claims should be the focus of compassionate effort rather than mere business pursuits."', 'source_id': 'chunk-359187e7571bda4b0b08b2e0b6581e52'} +2024-10-30 06:44:30,066 - lightrag - INFO - get_node:query:MATCH (n:`ETERNAL CHAIN`) RETURN n:result: +2024-10-30 06:44:30,201 - lightrag - INFO - _do_upsert:query: + MERGE (n:`ETERNAL CHAIN`) + SET n += $properties + RETURN n + :result:{'entity_type': '"CONCEPT"', 'description': '"The Eternal Chain represents the burdens and consequences of one\'s actions in life, symbolizing the weight of regret carried by the Ghost."', 'source_id': 'chunk-359187e7571bda4b0b08b2e0b6581e52'} +2024-10-30 06:44:30,327 - lightrag - INFO - get_node:query:MATCH (n:`STAR`) RETURN n:result: +2024-10-30 06:44:30,464 - lightrag - INFO - _do_upsert:query: + MERGE (n:`STAR`) + SET n += $properties + RETURN n + :result:{'entity_type': '"GEO"', 'description': '"The Star symbolizes guidance and hope, referenced in connection with the Wise Men, representing the potential for enlightenment and moral direction."', 'source_id': 'chunk-359187e7571bda4b0b08b2e0b6581e52'} +2024-10-30 06:44:30,588 - lightrag - INFO - get_node:query:MATCH (n:`WISE MEN`) RETURN n:result: +2024-10-30 06:44:30,718 - lightrag - INFO - _do_upsert:query: + MERGE (n:`WISE MEN`) + SET n += $properties + RETURN n + :result:{'entity_type': '"PERSON"', 'description': '"The Wise Men are figures who followed the Star to bring gifts, embodying the values of recognition and generosity that Scrooge has neglected."', 'source_id': 'chunk-359187e7571bda4b0b08b2e0b6581e52'} +2024-10-30 06:44:30,842 - lightrag - INFO - get_node:query:MATCH (n:`FELLOW-BEINGS`) RETURN n:result: +2024-10-30 06:44:30,976 - lightrag - INFO - _do_upsert:query: + MERGE (n:`FELLOW-BEINGS`) + SET n += $properties + RETURN n + :result:{'entity_type': '"CONCEPT"', 'description': '"Fellow-beings are the people whom Scrooge ignored in life, representing the importance of community and connection."', 'source_id': 'chunk-359187e7571bda4b0b08b2e0b6581e52'} +2024-10-30 06:44:31,101 - lightrag - INFO - get_node:query:MATCH (n:`CHRISTMAS SPIRIT`) RETURN n:result: +2024-10-30 06:44:31,233 - lightrag - INFO - _do_upsert:query: + MERGE (n:`CHRISTMAS SPIRIT`) + SET n += $properties + RETURN n + :result:{'entity_type': '"CONCEPT"', 'description': '"The Christmas Spirit represents the ideals of generosity and kindness associated with the holiday season, which the Ghost encourages Scrooge to embrace."', 'source_id': 'chunk-359187e7571bda4b0b08b2e0b6581e52'} +2024-10-30 06:44:31,361 - lightrag - INFO - get_node:query:MATCH (n:`SPECTRE`) RETURN n:result: +2024-10-30 06:44:31,494 - lightrag - INFO - _do_upsert:query: + MERGE (n:`SPECTRE`) + SET n += $properties + RETURN n + :result:{'entity_type': '"PERSON"', 'description': '"The Spectre is another term for the Ghost, representing a manifestation of guilt and the need for change in Scrooge\'s life."', 'source_id': 'chunk-359187e7571bda4b0b08b2e0b6581e52'} +2024-10-30 06:44:31,619 - lightrag - INFO - get_node:query:MATCH (n:`THE THREE SPIRITS`) RETURN n:result:"The Three Spirits are the apparitions that Jacob Marley warns Scrooge about, who will visit him to guide him toward redemption.""The Three Spirits are the apparitions that Jacob Marley warns Scrooge about, who will visit him to guide him toward redemption.""The Three Spirits are the apparitions that Jacob Marley warns Scrooge about, who will visit him to guide him toward redemption.""The Three Spirits refer to the supernatural beings that are prophesied to visit Scrooge, each representing different aspects of time and morality."', 'source_id': 'chunk-cb661c37436355ccec2769b1d0350c5f'}> +2024-10-30 06:44:31,747 - lightrag - INFO - _do_upsert:query: + MERGE (n:`THE THREE SPIRITS`) + SET n += $properties + RETURN n + :result:{'entity_type': '"EVENT"', 'description': '"The Three Spirits are the apparitions that Jacob Marley warns Scrooge about, who will visit him to guide him toward redemption.""The Three Spirits are the apparitions that Jacob Marley warns Scrooge about, who will visit him to guide him toward redemption.""The Three Spirits are the apparitions that Jacob Marley warns Scrooge about, who will visit him to guide him toward redemption.""The Three Spirits are the apparitions that Jacob Marley warns Scrooge about, who will visit him to guide him toward redemption.""The Three Spirits are the apparitions that Jacob Marley warns Scrooge about, who will visit him to guide him toward redemption.""The Three Spirits refer to the supernatural beings that are prophesied to visit Scrooge, each representing different aspects of time and morality."', 'source_id': 'chunk-cb661c37436355ccec2769b1d0350c5f'} +2024-10-30 06:44:31,890 - lightrag - INFO - get_node:query:MATCH (n:`THE PHANTOM VOICES`) RETURN n:result: +2024-10-30 06:44:32,021 - lightrag - INFO - _do_upsert:query: + MERGE (n:`THE PHANTOM VOICES`) + SET n += $properties + RETURN n + :result:{'entity_type': '"EVENT"', 'description': '"The Phantom Voices refer to the sorrowful sounds of lamentation that Scrooge hears as the apparitions wander, representing lost opportunities and regret."', 'source_id': 'chunk-cb661c37436355ccec2769b1d0350c5f'} +2024-10-30 06:44:32,146 - lightrag - INFO - get_node:query:MATCH (n:`THE WINDOW`) RETURN n:result:"The Window is a physical presence in Scrooge\'s chamber that he approaches to observe the supernatural occurrences outside.""The Window is a physical presence in Scrooge\'s chamber that he approaches to observe the supernatural occurrences outside.""The Window is a physical presence in Scrooge\'s chamber that he approaches to observe the supernatural occurrences outside.""The Window represents a threshold between the visible and invisible worlds, allowing Scrooge a view into the realm of spirits and their lamentations."', 'source_id': 'chunk-cb661c37436355ccec2769b1d0350c5f'}> +2024-10-30 06:44:32,279 - lightrag - INFO - _do_upsert:query: + MERGE (n:`THE WINDOW`) + SET n += $properties + RETURN n + :result:{'entity_type': '"GEO"', 'description': '"The Window is a physical presence in Scrooge\'s chamber that he approaches to observe the supernatural occurrences outside.""The Window is a physical presence in Scrooge\'s chamber that he approaches to observe the supernatural occurrences outside.""The Window is a physical presence in Scrooge\'s chamber that he approaches to observe the supernatural occurrences outside.""The Window is a physical presence in Scrooge\'s chamber that he approaches to observe the supernatural occurrences outside.""The Window is a physical presence in Scrooge\'s chamber that he approaches to observe the supernatural occurrences outside.""The Window represents a threshold between the visible and invisible worlds, allowing Scrooge a view into the realm of spirits and their lamentations."', 'source_id': 'chunk-cb661c37436355ccec2769b1d0350c5f'} +2024-10-30 06:44:32,414 - lightrag - INFO - get_node:query:MATCH (n:`THE CLOCK`) RETURN n:result:"The Clock is mentioned as malfunctioning, which symbolizes the confusion and distortion of time that Scrooge experiences during his nighttime visitations.""The Clock serves as a symbol of time passing, reflecting Scrooge\'s disorientation regarding time as he transitions between reality and the supernatural.""The Clock signifies the passage of time during the Domestic Ball and plays a role in marking the end of the celebration.""The Clock serves as a symbol of time passing, reflecting Scrooge\'s disorientation regarding time as he transitions between reality and the supernatural.""The Clock signifies the passage of time during the Domestic Ball and plays a role in marking the end of the celebration.""The Clock serves as a symbol of time passing, reflecting Scrooge\'s disorientation regarding time as he transitions between reality and the supernatural.""The Clock signifies the passage of time during the Domestic Ball and plays a role in marking the end of the celebration.""The Clock serves as a symbol of time passing, reflecting Scrooge\'s disorientation regarding time as he transitions between reality and the supernatural.""The Clock signifies the passage of time during the Domestic Ball and plays a role in marking the end of the celebration."', 'source_id': 'chunk-cb661c37436355ccec2769b1d0350c5fchunk-c7b10789a9cb0af6c553730b29bd9034chunk-b2f98bc7abb0c67d4c86055c7fd72218'}> +2024-10-30 06:44:32,546 - lightrag - INFO - _do_upsert:query: + MERGE (n:`THE CLOCK`) + SET n += $properties + RETURN n + :result:{'entity_type': '"GEO"', 'description': '"The Clock is a device that malfunctions, contributing to Scrooge\'s confusion about time and reality in the narrative.""The Clock is mentioned as malfunctioning, which symbolizes the confusion and distortion of time that Scrooge experiences during his nighttime visitations.""The Clock serves as a symbol of time passing, reflecting Scrooge\'s disorientation regarding time as he transitions between reality and the supernatural.""The Clock signifies the passage of time during the Domestic Ball and plays a role in marking the end of the celebration.""The Clock serves as a symbol of time passing, reflecting Scrooge\'s disorientation regarding time as he transitions between reality and the supernatural.""The Clock signifies the passage of time during the Domestic Ball and plays a role in marking the end of the celebration.""The Clock serves as a symbol of time passing, reflecting Scrooge\'s disorientation regarding time as he transitions between reality and the supernatural.""The Clock signifies the passage of time during the Domestic Ball and plays a role in marking the end of the celebration.""The Clock serves as a symbol of time passing, reflecting Scrooge\'s disorientation regarding time as he transitions between reality and the supernatural.""The Clock signifies the passage of time during the Domestic Ball and plays a role in marking the end of the celebration.""The Clock serves as a symbol of time passing, reflecting Scrooge\'s disorientation regarding time as he transitions between reality and the supernatural.""The Clock signifies the passage of time during the Domestic Ball and plays a role in marking the end of the celebration."', 'source_id': 'chunk-c7b10789a9cb0af6c553730b29bd9034chunk-b2f98bc7abb0c67d4c86055c7fd72218chunk-cb661c37436355ccec2769b1d0350c5f'} +2024-10-30 06:44:32,674 - lightrag - INFO - get_node:query:MATCH (n:`THE DARKNESS`) RETURN n:result:"The Darkness symbolizes the confusion and the unknown that envelops Scrooge as he faces the reality of his past, present, and future.""The Darkness symbolizes the confusion and the unknown that envelops Scrooge as he faces the reality of his past, present, and future.""The Darkness symbolizes the confusion and the unknown that envelops Scrooge as he faces the reality of his past, present, and future.""The Darkness symbolizes the confusion and the unknown that envelops Scrooge as he faces the reality of his past, present, and future."', 'source_id': 'chunk-cb661c37436355ccec2769b1d0350c5f'}> +2024-10-30 06:44:32,806 - lightrag - INFO - _do_upsert:query: + MERGE (n:`THE DARKNESS`) + SET n += $properties + RETURN n + :result:{'entity_type': '"CONCEPT"', 'description': '"The Darkness refers to the absence of light, signifying uncertainty and fear in Scrooge\'s transformation journey.""The Darkness symbolizes the confusion and the unknown that envelops Scrooge as he faces the reality of his past, present, and future.""The Darkness symbolizes the confusion and the unknown that envelops Scrooge as he faces the reality of his past, present, and future.""The Darkness symbolizes the confusion and the unknown that envelops Scrooge as he faces the reality of his past, present, and future.""The Darkness symbolizes the confusion and the unknown that envelops Scrooge as he faces the reality of his past, present, and future.""The Darkness symbolizes the confusion and the unknown that envelops Scrooge as he faces the reality of his past, present, and future."', 'source_id': 'chunk-cb661c37436355ccec2769b1d0350c5f'} +2024-10-30 06:44:32,934 - lightrag - INFO - get_node:query:MATCH (n:`CLOCK`) RETURN n:result: +2024-10-30 06:44:33,061 - lightrag - INFO - _do_upsert:query: + MERGE (n:`CLOCK`) + SET n += $properties + RETURN n + :result:{'entity_type': '"ORGANIZATION"', 'description': '"The Clock symbolizes the passage of time and plays a pivotal role in establishing the moments of Scrooge\'s experience with the Ghost."', 'source_id': 'chunk-c7b10789a9cb0af6c553730b29bd9034'} +2024-10-30 06:44:33,187 - lightrag - INFO - get_node:query:MATCH (n:`HOLLY`) RETURN n:result:"Holly is a plant associated with Christmas, mentioned among other decorations that contribute to the festive atmosphere.""Holly is a symbol held by The Ghost, representing peace and goodwill, contrasting with the cold wintry atmosphere around Scrooge.""Holly is mentioned as part of the traditional decorations associated with Christmas, symbolizing festivity.""Holly represents a traditional decoration associated with Christmas, symbolizing festivity and the presence of the Christmas spirit.""Holly is a symbol held by The Ghost, representing peace and goodwill, contrasting with the cold wintry atmosphere around Scrooge.""Holly is mentioned as part of the traditional decorations associated with Christmas, symbolizing festivity.""Holly represents a traditional decoration associated with Christmas, symbolizing festivity and the presence of the Christmas spirit.""Holly is a symbol held by The Ghost, representing peace and goodwill, contrasting with the cold wintry atmosphere around Scrooge.""Holly is mentioned as part of the traditional decorations associated with Christmas, symbolizing festivity.""Holly represents a traditional decoration associated with Christmas, symbolizing festivity and the presence of the Christmas spirit.""Holly is a symbol held by The Ghost, representing peace and goodwill, contrasting with the cold wintry atmosphere around Scrooge.""Holly is mentioned as part of the traditional decorations associated with Christmas, symbolizing festivity.""Holly represents a traditional decoration associated with Christmas, symbolizing festivity and the presence of the Christmas spirit."', 'source_id': 'chunk-843b5b2f944c7413d9ca876e2e2f151fchunk-c7b10789a9cb0af6c553730b29bd9034chunk-99b0ec7f7e006561352b5d65e849611d'}> +2024-10-30 06:44:33,328 - lightrag - INFO - _do_upsert:query: + MERGE (n:`HOLLY`) + SET n += $properties + RETURN n + :result:{'entity_type': '"ORGANIZATION"', 'description': '"Holly is a plant associated with Christmas, featured prominently in the Spirit\'s attire, symbolizing joy and celebration during the festive season.""Holly is a plant associated with Christmas, mentioned among other decorations that contribute to the festive atmosphere.""Holly is a symbol held by The Ghost, representing peace and goodwill, contrasting with the cold wintry atmosphere around Scrooge.""Holly is mentioned as part of the traditional decorations associated with Christmas, symbolizing festivity.""Holly represents a traditional decoration associated with Christmas, symbolizing festivity and the presence of the Christmas spirit.""Holly is a symbol held by The Ghost, representing peace and goodwill, contrasting with the cold wintry atmosphere around Scrooge.""Holly is mentioned as part of the traditional decorations associated with Christmas, symbolizing festivity.""Holly represents a traditional decoration associated with Christmas, symbolizing festivity and the presence of the Christmas spirit.""Holly is a symbol held by The Ghost, representing peace and goodwill, contrasting with the cold wintry atmosphere around Scrooge.""Holly is mentioned as part of the traditional decorations associated with Christmas, symbolizing festivity.""Holly represents a traditional decoration associated with Christmas, symbolizing festivity and the presence of the Christmas spirit.""Holly is a symbol held by The Ghost, representing peace and goodwill, contrasting with the cold wintry atmosphere around Scrooge.""Holly is mentioned as part of the traditional decorations associated with Christmas, symbolizing festivity.""Holly represents a traditional decoration associated with Christmas, symbolizing festivity and the presence of the Christmas spirit.""Holly is a symbol held by The Ghost, representing peace and goodwill, contrasting with the cold wintry atmosphere around Scrooge.""Holly is mentioned as part of the traditional decorations associated with Christmas, symbolizing festivity.""Holly represents a traditional decoration associated with Christmas, symbolizing festivity and the presence of the Christmas spirit."', 'source_id': 'chunk-c7b10789a9cb0af6c553730b29bd9034chunk-99b0ec7f7e006561352b5d65e849611dchunk-843b5b2f944c7413d9ca876e2e2f151f'} +2024-10-30 06:44:33,465 - lightrag - INFO - get_node:query:MATCH (n:`LIGHT`) RETURN n:result:"Light is a prominent feature associated with The Ghost, symbolizing knowledge and revelation, illuminating the darkness of Scrooge\'s ignorance.""Light is a prominent feature associated with The Ghost, symbolizing knowledge and revelation, illuminating the darkness of Scrooge\'s ignorance.""Light is a prominent feature associated with The Ghost, symbolizing knowledge and revelation, illuminating the darkness of Scrooge\'s ignorance.""Light is a prominent feature associated with The Ghost, symbolizing knowledge and revelation, illuminating the darkness of Scrooge\'s ignorance."', 'source_id': 'chunk-c7b10789a9cb0af6c553730b29bd9034'}> +2024-10-30 06:44:33,594 - lightrag - INFO - _do_upsert:query: + MERGE (n:`LIGHT`) + SET n += $properties + RETURN n + :result:{'entity_type': '"CONCEPT"', 'description': '"Light emanates from The Visitor, symbolizing clarity, revelation, and the supernatural, contrasting with the darkness around Scrooge\'s situation.""Light is a prominent feature associated with The Ghost, symbolizing knowledge and revelation, illuminating the darkness of Scrooge\'s ignorance.""Light is a prominent feature associated with The Ghost, symbolizing knowledge and revelation, illuminating the darkness of Scrooge\'s ignorance.""Light is a prominent feature associated with The Ghost, symbolizing knowledge and revelation, illuminating the darkness of Scrooge\'s ignorance.""Light is a prominent feature associated with The Ghost, symbolizing knowledge and revelation, illuminating the darkness of Scrooge\'s ignorance.""Light is a prominent feature associated with The Ghost, symbolizing knowledge and revelation, illuminating the darkness of Scrooge\'s ignorance."', 'source_id': 'chunk-c7b10789a9cb0af6c553730b29bd9034'} +2024-10-30 06:44:33,722 - lightrag - INFO - get_node:query:MATCH (n:`WINTER`) RETURN n:result: +2024-10-30 06:44:33,851 - lightrag - INFO - _do_upsert:query: + MERGE (n:`WINTER`) + SET n += $properties + RETURN n + :result:{'entity_type': '"GEO"', 'description': '"Winter represents the cold and bleak environment that surrounds Scrooge during his nighttime encounters with the supernatural."', 'source_id': 'chunk-c7b10789a9cb0af6c553730b29bd9034'} +2024-10-30 06:44:33,980 - lightrag - INFO - get_node:query:MATCH (n:`THE DRESSING-GOWN`) RETURN n:result:"The Dressing-Gown is worn by Scrooge, symbolizing his state of vulnerability and introspection as he grapples with profound ideas in the narrative.""The Dressing-Gown is worn by Scrooge, symbolizing his state of vulnerability and introspection as he grapples with profound ideas in the narrative.""The Dressing-Gown is worn by Scrooge, symbolizing his state of vulnerability and introspection as he grapples with profound ideas in the narrative.""The Dressing-Gown is worn by Scrooge, symbolizing his state of vulnerability and introspection as he grapples with profound ideas in the narrative."', 'source_id': 'chunk-9c43dac2fcd5b578242d907ea6f8fc7bchunk-c7b10789a9cb0af6c553730b29bd9034'}> +2024-10-30 06:44:34,110 - lightrag - INFO - _do_upsert:query: + MERGE (n:`THE DRESSING-GOWN`) + SET n += $properties + RETURN n + :result:{'entity_type': '"ORGANIZATION"', 'description': '"The Dressing-Gown is worn by Scrooge, illustrating his solitary, night-time routine and emphasizing his isolation.""The Dressing-Gown is worn by Scrooge, symbolizing his state of vulnerability and introspection as he grapples with profound ideas in the narrative.""The Dressing-Gown is worn by Scrooge, symbolizing his state of vulnerability and introspection as he grapples with profound ideas in the narrative.""The Dressing-Gown is worn by Scrooge, symbolizing his state of vulnerability and introspection as he grapples with profound ideas in the narrative.""The Dressing-Gown is worn by Scrooge, symbolizing his state of vulnerability and introspection as he grapples with profound ideas in the narrative.""The Dressing-Gown is worn by Scrooge, symbolizing his state of vulnerability and introspection as he grapples with profound ideas in the narrative."', 'source_id': 'chunk-c7b10789a9cb0af6c553730b29bd9034chunk-9c43dac2fcd5b578242d907ea6f8fc7b'} +2024-10-30 06:44:34,239 - lightrag - INFO - get_node:query:MATCH (n:`TUNIC`) RETURN n:result: +2024-10-30 06:44:34,370 - lightrag - INFO - _do_upsert:query: + MERGE (n:`TUNIC`) + SET n += $properties + RETURN n + :result:{'entity_type': '"CONCEPT"', 'description': '"The Tunic is part of The Ghost\'s attire, signifying purity and heavenly qualities in contrast to Scrooge\'s current state."', 'source_id': 'chunk-c7b10789a9cb0af6c553730b29bd9034'} +2024-10-30 06:44:34,499 - lightrag - INFO - get_node:query:MATCH (n:`BELL`) RETURN n:result: +2024-10-30 06:44:34,631 - lightrag - INFO - _do_upsert:query: + MERGE (n:`BELL`) + SET n += $properties + RETURN n + :result:{'entity_type': '"EVENT"', 'description': '"The Bell signifies the passage of time and is crucial in alerting Scrooge to the hour of visitation by The Ghost."', 'source_id': 'chunk-c7b10789a9cb0af6c553730b29bd9034'} +2024-10-30 06:44:34,754 - lightrag - INFO - get_node:query:MATCH (n:`CLOCK'S STRIKE`) RETURN n:result: +2024-10-30 06:44:34,885 - lightrag - INFO - _do_upsert:query: + MERGE (n:`CLOCK'S STRIKE`) + SET n += $properties + RETURN n + :result:{'entity_type': '"EVENT"', 'description': '"The Clock\'s Strike is an event marking significant moments throughout the narrative, emphasizing the theme of time."', 'source_id': 'chunk-c7b10789a9cb0af6c553730b29bd9034'} +2024-10-30 06:44:35,011 - lightrag - INFO - get_node:query:MATCH (n:`DREAM`) RETURN n:result:"Dream refers to Scrooge\'s mental conflict regarding whether the spectral encounters are real or figments of his imagination.""Dream refers to Scrooge\'s mental conflict regarding whether the spectral encounters are real or figments of his imagination.""Dream refers to Scrooge\'s mental conflict regarding whether the spectral encounters are real or figments of his imagination.""Dream refers to the possibility that Scrooge\'s experiences are a figment of his imagination, reflecting his internal struggle with reality and perception."', 'source_id': 'chunk-c7b10789a9cb0af6c553730b29bd9034'}> +2024-10-30 06:44:35,148 - lightrag - INFO - _do_upsert:query: + MERGE (n:`DREAM`) + SET n += $properties + RETURN n + :result:{'entity_type': '"CONCEPT"', 'description': '"Dream refers to Scrooge\'s mental conflict regarding whether the spectral encounters are real or figments of his imagination.""Dream refers to Scrooge\'s mental conflict regarding whether the spectral encounters are real or figments of his imagination.""Dream refers to Scrooge\'s mental conflict regarding whether the spectral encounters are real or figments of his imagination.""Dream refers to Scrooge\'s mental conflict regarding whether the spectral encounters are real or figments of his imagination.""Dream refers to Scrooge\'s mental conflict regarding whether the spectral encounters are real or figments of his imagination.""Dream refers to the possibility that Scrooge\'s experiences are a figment of his imagination, reflecting his internal struggle with reality and perception."', 'source_id': 'chunk-c7b10789a9cb0af6c553730b29bd9034'} +2024-10-30 06:44:35,276 - lightrag - INFO - get_node:query:MATCH (n:`DING DONG`) RETURN n:result: +2024-10-30 06:44:35,407 - lightrag - INFO - _do_upsert:query: + MERGE (n:`DING DONG`) + SET n += $properties + RETURN n + :result:{'entity_type': '"EVENT"', 'description': '"Ding Dong represents the sound of the clock chimes, anchoring the reader in time and emphasizing the moments of realization for Scrooge."', 'source_id': 'chunk-c7b10789a9cb0af6c553730b29bd9034'} +2024-10-30 06:44:35,537 - lightrag - INFO - get_node:query:MATCH (n:`TIME`) RETURN n:result: +2024-10-30 06:44:35,666 - lightrag - INFO - _do_upsert:query: + MERGE (n:`TIME`) + SET n += $properties + RETURN n + :result:{'entity_type': '"CONCEPT"', 'description': '"Time is a central theme, with characters reflecting on its passage and significance in relation to life and revelations."', 'source_id': 'chunk-c7b10789a9cb0af6c553730b29bd9034'} +2024-10-30 06:44:35,792 - lightrag - INFO - get_node:query:MATCH (n:`THE SPIRIT`) RETURN n:result:"The Spirit is portrayed as a phantom guiding Scrooge, representing the moral and existential queries of his life.""The Spirit refers to a ghostly figure guiding Scrooge through his memories, playing a vital role in his transformation.""The Spirit refers to the Ghost of Christmas Present, who observes and interacts with the gathering, influencing Scrooge\'s emotional journey.""The Spirit refers to the ghostly apparitions that guide Scrooge through his reflections on life, past, present, and future.""The Spirit refers to the moral lesson embodied by the Ghost that visits Scrooge, emphasizing compassion and the value of life.""The Spirit represents a guiding force encouraging Scrooge to introspect on his past and recognize the value of happiness.""The Spirit represents a supernatural presence that influences the mood of Christmas, promoting generosity and mirth during the holiday season.""The Spirit represents the collective essence of the Christmas spirits, signifying guidance, memory, and influence over personal transformation.""The Spirit serves as a guiding force in the narrative, helping Scrooge understand his history and the impact of his actions.""The Spirit" is a multifaceted supernatural entity guiding Ebenezer Scrooge through a transformative journey during the Christmas season. It is portrayed as a ghostly figure, encompassing the Ghost of Christmas Present and the Ghost of Christmas Past, and serves to illuminate various themes including joy, generosity, and moral introspection. Throughout the narrative, The Spirit influences Scrooge\'s emotional journey, encouraging him to reflect on his past and understand the consequences of his actions.\n\nAs a guiding force, The Spirit prompts Scrooge to engage deeply with his memories, helping him realize the value of happiness and the importance of compassion and community in life. It plays a critical role in shaping the atmosphere of Christmas, promoting an environment filled with cheer and mirth as it leads Scrooge through moments of reflection and revelry. \n\nBy embodying the collective essence of the Christmas spirits, The Spirit acts as a moral compass for Scrooge, pushing him towards meaningful change and a reevaluation of his life choices. Ultimately, The Spirit serves as both a supernatural guide and an emotional influence, signifying the profound impact of reflection, memory, and personal transformation during the holiday season.', 'source_id': 'chunk-8590d9263cd2cd4fa583c432fc54e6c3chunk-b0f459f5af1c3a5e0b92cbe4ee48b77bchunk-da2472b4ef2a535b62908f14d0fb0ca9chunk-e1f29eeadc1d8ab46dc8a0bbd3c56b64chunk-91614df5cb74cbe5e109a338a82041e9chunk-503f0bfa5453467c7c61d160a3540ecachunk-19d72c57ae3408758b18d2568e86dc6bchunk-91572b3cd42786ba4cb2f180ca25cbf4chunk-bb21d58d36c6306fd8810ddd51c4a971chunk-f1a4fbcf1ed86864b9bfd5e8dba4c683chunk-43c9bee23adfa77aa9dedd22401bba7dchunk-b2f98bc7abb0c67d4c86055c7fd72218'}> +2024-10-30 06:44:35,795 - lightrag - DEBUG - Trigger summary: "THE SPIRIT" +2024-10-30 06:44:35,895 - lightrag - INFO - get_node:query:MATCH (n:`WINTER DAY`) RETURN n:result:"The winter day serves as the setting for Scrooge\'s journey with the Ghost, representing a time for reflection and nostalgia.""The winter day serves as the setting for Scrooge\'s journey with the Ghost, representing a time for reflection and nostalgia.""The winter day serves as the setting for Scrooge\'s journey with the Ghost, representing a time for reflection and nostalgia.""The winter day serves as the setting for Scrooge\'s journey with the Ghost, representing a time for reflection and nostalgia."', 'source_id': 'chunk-bb21d58d36c6306fd8810ddd51c4a971'}> +2024-10-30 06:44:36,030 - lightrag - INFO - _do_upsert:query: + MERGE (n:`WINTER DAY`) + SET n += $properties + RETURN n + :result:{'entity_type': '"EVENT"', 'description': '"The Winter Day signifies the seasonal setting during Scrooge\'s journey through his memories, highlighting a clear, cold atmosphere filled with nostalgia.""The winter day serves as the setting for Scrooge\'s journey with the Ghost, representing a time for reflection and nostalgia.""The winter day serves as the setting for Scrooge\'s journey with the Ghost, representing a time for reflection and nostalgia.""The winter day serves as the setting for Scrooge\'s journey with the Ghost, representing a time for reflection and nostalgia.""The winter day serves as the setting for Scrooge\'s journey with the Ghost, representing a time for reflection and nostalgia.""The winter day serves as the setting for Scrooge\'s journey with the Ghost, representing a time for reflection and nostalgia."', 'source_id': 'chunk-bb21d58d36c6306fd8810ddd51c4a971'} +2024-10-30 06:44:36,158 - lightrag - INFO - get_node:query:MATCH (n:`MARKET-TOWN`) RETURN n:result:"The market-town appears in Scrooge\'s memories as a significant place from his childhood, representing a connection to his past.""The market-town appears in Scrooge\'s memories as a significant place from his childhood, representing a connection to his past.""The market-town appears in Scrooge\'s memories as a significant place from his childhood, representing a connection to his past.""The market-town appears in Scrooge\'s memories as a significant place from his childhood, representing a connection to his past."', 'source_id': 'chunk-bb21d58d36c6306fd8810ddd51c4a971'}> +2024-10-30 06:44:36,285 - lightrag - INFO - _do_upsert:query: + MERGE (n:`MARKET-TOWN`) + SET n += $properties + RETURN n + :result:{'entity_type': '"GEO"', 'description': '"The Market-Town is a nostalgic location from Scrooge\'s youth, evoking memories and emotions tied to his childhood.""The market-town appears in Scrooge\'s memories as a significant place from his childhood, representing a connection to his past.""The market-town appears in Scrooge\'s memories as a significant place from his childhood, representing a connection to his past.""The market-town appears in Scrooge\'s memories as a significant place from his childhood, representing a connection to his past.""The market-town appears in Scrooge\'s memories as a significant place from his childhood, representing a connection to his past.""The market-town appears in Scrooge\'s memories as a significant place from his childhood, representing a connection to his past."', 'source_id': 'chunk-bb21d58d36c6306fd8810ddd51c4a971'} +2024-10-30 06:44:36,417 - lightrag - INFO - get_node:query:MATCH (n:`BOYS`) RETURN n:result: +2024-10-30 06:44:36,551 - lightrag - INFO - _do_upsert:query: + MERGE (n:`BOYS`) + SET n += $properties + RETURN n + :result:{'entity_type': '"PERSON"', 'description': '"The boys are depicted as cheerful characters riding ponies, contributing to the joyful atmosphere and memories of Scrooge\'s past."', 'source_id': 'chunk-bb21d58d36c6306fd8810ddd51c4a971'} +2024-10-30 06:44:36,676 - lightrag - INFO - get_node:query:MATCH (n:`SHAGGY PONIES`) RETURN n:result: +2024-10-30 06:44:36,807 - lightrag - INFO - _do_upsert:query: + MERGE (n:`SHAGGY PONIES`) + SET n += $properties + RETURN n + :result:{'entity_type': '"GEO"', 'description': '"Shaggy ponies are mentioned as part of the scene, representing the innocent and playful aspects of Scrooge\'s childhood."', 'source_id': 'chunk-bb21d58d36c6306fd8810ddd51c4a971'} +2024-10-30 06:44:36,930 - lightrag - INFO - get_node:query:MATCH (n:`BRIDGE`) RETURN n:result: +2024-10-30 06:44:37,064 - lightrag - INFO - _do_upsert:query: + MERGE (n:`BRIDGE`) + SET n += $properties + RETURN n + :result:{'entity_type': '"GEO"', 'description': '"The bridge is a landmark in the market-town that Scrooge recognizes from his childhood, symbolizing a connection to his past."', 'source_id': 'chunk-bb21d58d36c6306fd8810ddd51c4a971'} +2024-10-30 06:44:37,190 - lightrag - INFO - get_node:query:MATCH (n:`CHURCH`) RETURN n:result: +2024-10-30 06:44:37,317 - lightrag - INFO - _do_upsert:query: + MERGE (n:`CHURCH`) + SET n += $properties + RETURN n + :result:{'entity_type': '"GEO"', 'description': '"The church is another landmark in the market-town representing tradition and community significant to Scrooge\'s memories."', 'source_id': 'chunk-bb21d58d36c6306fd8810ddd51c4a971'} +2024-10-30 06:44:37,450 - lightrag - INFO - get_node:query:MATCH (n:`WINDING RIVER`) RETURN n:result: +2024-10-30 06:44:37,584 - lightrag - INFO - _do_upsert:query: + MERGE (n:`WINDING RIVER`) + SET n += $properties + RETURN n + :result:{'entity_type': '"GEO"', 'description': '"The winding river is part of the landscape Scrooge recalls, tying into his emotions of nostalgia and remembrance of home."', 'source_id': 'chunk-bb21d58d36c6306fd8810ddd51c4a971'} +2024-10-30 06:44:37,707 - lightrag - INFO - get_node:query:MATCH (n:`ALI BABA`) RETURN n:result:"Ali Baba is a character from a story recalled by Scrooge, representing memories of adventure and kindness during Christmas.""Ali Baba is a character from a story recalled by Scrooge, representing memories of adventure and kindness during Christmas.""Ali Baba is a character from a story recalled by Scrooge, representing memories of adventure and kindness during Christmas.""Ali Baba is mentioned as a character from a story that impacts Scrooge during his reflection on Christmas and childhood."', 'source_id': 'chunk-8590d9263cd2cd4fa583c432fc54e6c3'}> +2024-10-30 06:44:37,837 - lightrag - INFO - _do_upsert:query: + MERGE (n:`ALI BABA`) + SET n += $properties + RETURN n + :result:{'entity_type': '"PERSON"', 'description': '"Ali Baba is a character from a story recalled by Scrooge, representing memories of adventure and kindness during Christmas.""Ali Baba is a character from a story recalled by Scrooge, representing memories of adventure and kindness during Christmas.""Ali Baba is a character from a story recalled by Scrooge, representing memories of adventure and kindness during Christmas.""Ali Baba is a character from a story recalled by Scrooge, representing memories of adventure and kindness during Christmas.""Ali Baba is a character from a story recalled by Scrooge, representing memories of adventure and kindness during Christmas.""Ali Baba is mentioned as a character from a story that impacts Scrooge during his reflection on Christmas and childhood."', 'source_id': 'chunk-8590d9263cd2cd4fa583c432fc54e6c3'} +2024-10-30 06:44:37,962 - lightrag - INFO - get_node:query:MATCH (n:`VALENTINE`) RETURN n:result:"Valentine is mentioned as a character associated with Scrooge\'s childhood memories, indicating the depth of his nostalgia.""Valentine is mentioned as a character associated with Scrooge\'s childhood memories, indicating the depth of his nostalgia.""Valentine is mentioned as a character associated with Scrooge\'s childhood memories, indicating the depth of his nostalgia.""Valentine is referenced as a brother of a character, and his presence contributes to the holiday memories Scrooge recalls."', 'source_id': 'chunk-8590d9263cd2cd4fa583c432fc54e6c3'}> +2024-10-30 06:44:38,089 - lightrag - INFO - _do_upsert:query: + MERGE (n:`VALENTINE`) + SET n += $properties + RETURN n + :result:{'entity_type': '"PERSON"', 'description': '"Valentine is mentioned as a character associated with Scrooge\'s childhood memories, indicating the depth of his nostalgia.""Valentine is mentioned as a character associated with Scrooge\'s childhood memories, indicating the depth of his nostalgia.""Valentine is mentioned as a character associated with Scrooge\'s childhood memories, indicating the depth of his nostalgia.""Valentine is mentioned as a character associated with Scrooge\'s childhood memories, indicating the depth of his nostalgia.""Valentine is mentioned as a character associated with Scrooge\'s childhood memories, indicating the depth of his nostalgia.""Valentine is referenced as a brother of a character, and his presence contributes to the holiday memories Scrooge recalls."', 'source_id': 'chunk-8590d9263cd2cd4fa583c432fc54e6c3'} +2024-10-30 06:44:38,216 - lightrag - INFO - get_node:query:MATCH (n:`ORSON`) RETURN n:result:"Orson, the wild brother of Valentine, is another figure from Scrooge\'s past, representing familial connections and memories.""Orson, the wild brother of Valentine, is another figure from Scrooge\'s past, representing familial connections and memories.""Orson, the wild brother of Valentine, is another figure from Scrooge\'s past, representing familial connections and memories.""Orson, the wild brother of Valentine, is another figure from Scrooge\'s past, representing familial connections and memories."', 'source_id': 'chunk-8590d9263cd2cd4fa583c432fc54e6c3'}> +2024-10-30 06:44:38,348 - lightrag - INFO - _do_upsert:query: + MERGE (n:`ORSON`) + SET n += $properties + RETURN n + :result:{'entity_type': '"PERSON"', 'description': '"Orson is mentioned as another brother mentioned by Scrooge, recalling his childhood tales and adventures.""Orson, the wild brother of Valentine, is another figure from Scrooge\'s past, representing familial connections and memories.""Orson, the wild brother of Valentine, is another figure from Scrooge\'s past, representing familial connections and memories.""Orson, the wild brother of Valentine, is another figure from Scrooge\'s past, representing familial connections and memories.""Orson, the wild brother of Valentine, is another figure from Scrooge\'s past, representing familial connections and memories.""Orson, the wild brother of Valentine, is another figure from Scrooge\'s past, representing familial connections and memories."', 'source_id': 'chunk-8590d9263cd2cd4fa583c432fc54e6c3'} +2024-10-30 06:44:38,481 - lightrag - INFO - get_node:query:MATCH (n:`MANSION`) RETURN n:result: +2024-10-30 06:44:38,615 - lightrag - INFO - _do_upsert:query: + MERGE (n:`MANSION`) + SET n += $properties + RETURN n + :result:{'entity_type': '"GEO"', 'description': '"The Mansion is a large house described as being in a state of decay and neglect, serving as a setting for Scrooge\'s memories."', 'source_id': 'chunk-8590d9263cd2cd4fa583c432fc54e6c3'} +2024-10-30 06:44:38,739 - lightrag - INFO - get_node:query:MATCH (n:`CHILD`) RETURN n:result: +2024-10-30 06:44:38,869 - lightrag - INFO - _do_upsert:query: + MERGE (n:`CHILD`) + SET n += $properties + RETURN n + :result:{'entity_type': '"PERSON"', 'description': '"The Child is a solitary figure leaving in the school, representing loneliness and the emotions tied to Scrooge\'s memories of his younger self."', 'source_id': 'chunk-8590d9263cd2cd4fa583c432fc54e6c3'} +2024-10-30 06:44:38,995 - lightrag - INFO - get_node:query:MATCH (n:`ROBIN CRUSOE`) RETURN n:result:"Robin Crusoe is a character from literature that Scrooge remembers fondly, illustrating his connection to stories of adventure and survival.""Robin Crusoe is a character from literature that Scrooge remembers fondly, illustrating his connection to stories of adventure and survival.""Robin Crusoe is a character from literature that Scrooge remembers fondly, illustrating his connection to stories of adventure and survival.""Robin Crusoe is a character referenced by Scrooge as part of his memories, signifying tales of adventure and nostalgia."', 'source_id': 'chunk-8590d9263cd2cd4fa583c432fc54e6c3'}> +2024-10-30 06:44:39,126 - lightrag - INFO - _do_upsert:query: + MERGE (n:`ROBIN CRUSOE`) + SET n += $properties + RETURN n + :result:{'entity_type': '"PERSON"', 'description': '"Robin Crusoe is a character from literature that Scrooge remembers fondly, illustrating his connection to stories of adventure and survival.""Robin Crusoe is a character from literature that Scrooge remembers fondly, illustrating his connection to stories of adventure and survival.""Robin Crusoe is a character from literature that Scrooge remembers fondly, illustrating his connection to stories of adventure and survival.""Robin Crusoe is a character from literature that Scrooge remembers fondly, illustrating his connection to stories of adventure and survival.""Robin Crusoe is a character from literature that Scrooge remembers fondly, illustrating his connection to stories of adventure and survival.""Robin Crusoe is a character referenced by Scrooge as part of his memories, signifying tales of adventure and nostalgia."', 'source_id': 'chunk-8590d9263cd2cd4fa583c432fc54e6c3'} +2024-10-30 06:44:39,251 - lightrag - INFO - get_node:query:MATCH (n:`FRIDAY`) RETURN n:result:"Friday is another character from the story of Robin Crusoe, noted in Scrooge\'s memories, indicating the impact of literature on his nostalgia.""Friday is another character from the story of Robin Crusoe, noted in Scrooge\'s memories, indicating the impact of literature on his nostalgia.""Friday is another character from the story of Robin Crusoe, noted in Scrooge\'s memories, indicating the impact of literature on his nostalgia.""Friday is another character from the story of Robin Crusoe, noted in Scrooge\'s memories, indicating the impact of literature on his nostalgia."', 'source_id': 'chunk-8590d9263cd2cd4fa583c432fc54e6c3'}> +2024-10-30 06:44:39,382 - lightrag - INFO - _do_upsert:query: + MERGE (n:`FRIDAY`) + SET n += $properties + RETURN n + :result:{'entity_type': '"PERSON"', 'description': '"Friday is another character from a story mentioned by Scrooge during his nostalgic recollections of childhood.""Friday is another character from the story of Robin Crusoe, noted in Scrooge\'s memories, indicating the impact of literature on his nostalgia.""Friday is another character from the story of Robin Crusoe, noted in Scrooge\'s memories, indicating the impact of literature on his nostalgia.""Friday is another character from the story of Robin Crusoe, noted in Scrooge\'s memories, indicating the impact of literature on his nostalgia.""Friday is another character from the story of Robin Crusoe, noted in Scrooge\'s memories, indicating the impact of literature on his nostalgia.""Friday is another character from the story of Robin Crusoe, noted in Scrooge\'s memories, indicating the impact of literature on his nostalgia."', 'source_id': 'chunk-8590d9263cd2cd4fa583c432fc54e6c3'} +2024-10-30 06:44:39,511 - lightrag - INFO - get_node:query:MATCH (n:`THE PARROT`) RETURN n:result: +2024-10-30 06:44:39,645 - lightrag - INFO - _do_upsert:query: + MERGE (n:`THE PARROT`) + SET n += $properties + RETURN n + :result:{'entity_type': '"PERSON"', 'description': '"The Parrot is a character in Scrooge\'s memory tied to Robin Crusoe, representing Scrooge\'s whimsical recollections."', 'source_id': 'chunk-8590d9263cd2cd4fa583c432fc54e6c3'} +2024-10-30 06:44:39,773 - lightrag - INFO - get_node:query:MATCH (n:`DICK WILKINS`) RETURN n:result:"Dick Wilkins is Scrooge\'s fellow apprentice and close companion during his younger years, indicating camaraderie during their apprenticeship.""Dick Wilkins is Scrooge\'s fellow apprentice, associated with Scrooge\'s past and the context of his earlier, more carefree life.""Dick Wilkins is a former apprentice of Scrooge, remembered fondly for his attachment to Scrooge.""Dick Wilkins is Scrooge\'s fellow apprentice, associated with Scrooge\'s past and the context of his earlier, more carefree life.""Dick Wilkins is a former apprentice of Scrooge, remembered fondly for his attachment to Scrooge.""Dick Wilkins is Scrooge\'s fellow apprentice, associated with Scrooge\'s past and the context of his earlier, more carefree life.""Dick Wilkins is a former apprentice of Scrooge, remembered fondly for his attachment to Scrooge.""Dick Wilkins is Scrooge\'s fellow apprentice, associated with Scrooge\'s past and the context of his earlier, more carefree life.""Dick Wilkins is a former apprentice of Scrooge, remembered fondly for his attachment to Scrooge."', 'source_id': 'chunk-8bc1edd983869352d14cf0886a9175a7chunk-c6c248858d1b13ab7ee9ca13c1aeed6b'}> +2024-10-30 06:44:39,910 - lightrag - INFO - _do_upsert:query: + MERGE (n:`DICK WILKINS`) + SET n += $properties + RETURN n + :result:{'entity_type': '"PERSON"', 'description': '"Dick Wilkins is Ebenezer\'s fellow apprentice, with whom he shared a strong attachment during their youth.""Dick Wilkins is Scrooge\'s fellow apprentice and close companion during his younger years, indicating camaraderie during their apprenticeship.""Dick Wilkins is Scrooge\'s fellow apprentice, associated with Scrooge\'s past and the context of his earlier, more carefree life.""Dick Wilkins is a former apprentice of Scrooge, remembered fondly for his attachment to Scrooge.""Dick Wilkins is Scrooge\'s fellow apprentice, associated with Scrooge\'s past and the context of his earlier, more carefree life.""Dick Wilkins is a former apprentice of Scrooge, remembered fondly for his attachment to Scrooge.""Dick Wilkins is Scrooge\'s fellow apprentice, associated with Scrooge\'s past and the context of his earlier, more carefree life.""Dick Wilkins is a former apprentice of Scrooge, remembered fondly for his attachment to Scrooge.""Dick Wilkins is Scrooge\'s fellow apprentice, associated with Scrooge\'s past and the context of his earlier, more carefree life.""Dick Wilkins is a former apprentice of Scrooge, remembered fondly for his attachment to Scrooge.""Dick Wilkins is Scrooge\'s fellow apprentice, associated with Scrooge\'s past and the context of his earlier, more carefree life.""Dick Wilkins is a former apprentice of Scrooge, remembered fondly for his attachment to Scrooge."', 'source_id': 'chunk-c6c248858d1b13ab7ee9ca13c1aeed6bchunk-8bc1edd983869352d14cf0886a9175a7'} +2024-10-30 06:44:40,038 - lightrag - INFO - get_node:query:MATCH (n:`THE CITY`) RETURN n:result:"The City represents the bustling urban environment where Scrooge reflects on his past, filled with activity and shadowy figures.""The City, from which Scrooge is transported, represents his past life and is contrasted with the open country road that signifies his memories.""The City refers to the broader urban environment in which Scrooge operates and signifies the societal norms and attitudes towards Christmas.""The City represents the bustling urban environment where Scrooge\'s memories unfold, highlighting the contrast between his past and present.""The City refers to the broader urban environment in which Scrooge operates and signifies the societal norms and attitudes towards Christmas.""The City represents the bustling urban environment where Scrooge\'s memories unfold, highlighting the contrast between his past and present.""The City refers to the broader urban environment in which Scrooge operates and signifies the societal norms and attitudes towards Christmas.""The City represents the bustling urban environment where Scrooge\'s memories unfold, highlighting the contrast between his past and present.""The City refers to the broader urban environment in which Scrooge operates and signifies the societal norms and attitudes towards Christmas.""The City represents the bustling urban environment where Scrooge\'s memories unfold, highlighting the contrast between his past and present."', 'source_id': 'chunk-94bea83e7153fc2064aa382b494936a1chunk-74e2466de2f67fd710ef2f20c0a8d9e0chunk-c6c248858d1b13ab7ee9ca13c1aeed6bchunk-bb21d58d36c6306fd8810ddd51c4a971'}> +2024-10-30 06:44:40,169 - lightrag - INFO - _do_upsert:query: + MERGE (n:`THE CITY`) + SET n += $properties + RETURN n + :result:{'entity_type': '"GEO"', 'description': '"The City provides the backdrop for Scrooge\'s story, representing the bustling environment that underscores his loneliness and detachment from society.""The City represents the bustling urban environment where Scrooge reflects on his past, filled with activity and shadowy figures.""The City, from which Scrooge is transported, represents his past life and is contrasted with the open country road that signifies his memories.""The City refers to the broader urban environment in which Scrooge operates and signifies the societal norms and attitudes towards Christmas.""The City represents the bustling urban environment where Scrooge\'s memories unfold, highlighting the contrast between his past and present.""The City refers to the broader urban environment in which Scrooge operates and signifies the societal norms and attitudes towards Christmas.""The City represents the bustling urban environment where Scrooge\'s memories unfold, highlighting the contrast between his past and present.""The City refers to the broader urban environment in which Scrooge operates and signifies the societal norms and attitudes towards Christmas.""The City represents the bustling urban environment where Scrooge\'s memories unfold, highlighting the contrast between his past and present.""The City refers to the broader urban environment in which Scrooge operates and signifies the societal norms and attitudes towards Christmas.""The City represents the bustling urban environment where Scrooge\'s memories unfold, highlighting the contrast between his past and present.""The City refers to the broader urban environment in which Scrooge operates and signifies the societal norms and attitudes towards Christmas.""The City represents the bustling urban environment where Scrooge\'s memories unfold, highlighting the contrast between his past and present."', 'source_id': 'chunk-74e2466de2f67fd710ef2f20c0a8d9e0chunk-c6c248858d1b13ab7ee9ca13c1aeed6bchunk-94bea83e7153fc2064aa382b494936a1chunk-bb21d58d36c6306fd8810ddd51c4a971'} +2024-10-30 06:44:40,296 - lightrag - INFO - get_node:query:MATCH (n:`HOME`) RETURN n:result:"Home represents the physical and emotional center for the family, where the Christmas celebration takes place.""Home represents the physical and emotional center for the family, where the Christmas celebration takes place.""Home represents the physical and emotional center for the family, where the Christmas celebration takes place.""Home symbolizes warmth, safety, and family connection, representing what Scrooge yearns for but has lost in his life.""Home symbolizes warmth, safety, and family connection, representing what Scrooge yearns for but has lost in his life.""Home symbolizes warmth, safety, and family connection, representing what Scrooge yearns for but has lost in his life.""Home symbolizes warmth, safety, and family connection, representing what Scrooge yearns for but has lost in his life."', 'source_id': 'chunk-da2472b4ef2a535b62908f14d0fb0ca9chunk-c6c248858d1b13ab7ee9ca13c1aeed6b'}> +2024-10-30 06:44:40,429 - lightrag - INFO - _do_upsert:query: + MERGE (n:`HOME`) + SET n += $properties + RETURN n + :result:{'entity_type': '"CONCEPT"', 'description': '"Home represents the physical and emotional center for the family, where the Christmas celebration takes place.""Home represents the physical and emotional center for the family, where the Christmas celebration takes place.""Home represents the physical and emotional center for the family, where the Christmas celebration takes place.""Home represents the physical and emotional center for the family, where the Christmas celebration takes place.""Home represents the physical and emotional center for the family, where the Christmas celebration takes place.""Home symbolizes warmth, safety, and family connection, representing what Scrooge yearns for but has lost in his life.""Home symbolizes warmth, safety, and family connection, representing what Scrooge yearns for but has lost in his life.""Home symbolizes warmth, safety, and family connection, representing what Scrooge yearns for but has lost in his life.""Home symbolizes warmth, safety, and family connection, representing what Scrooge yearns for but has lost in his life.""Home symbolizes warmth, safety, and family connection, representing what Scrooge yearns for but has lost in his life."', 'source_id': 'chunk-da2472b4ef2a535b62908f14d0fb0ca9chunk-c6c248858d1b13ab7ee9ca13c1aeed6b'} +2024-10-30 06:44:40,562 - lightrag - INFO - get_node:query:MATCH (n:`COACH`) RETURN n:result: +2024-10-30 06:44:40,692 - lightrag - INFO - _do_upsert:query: + MERGE (n:`COACH`) + SET n += $properties + RETURN n + :result:{'entity_type': '"CONCEPT"', 'description': '"The Coach is a means of transport that signifies the transition from Scrooge\'s lonely past to the possibility of companionship and warmth."', 'source_id': 'chunk-c6c248858d1b13ab7ee9ca13c1aeed6b'} +2024-10-30 06:44:40,817 - lightrag - INFO - get_node:query:MATCH (n:`THE SCHOOL`) RETURN n:result: +2024-10-30 06:44:40,948 - lightrag - INFO - _do_upsert:query: + MERGE (n:`THE SCHOOL`) + SET n += $properties + RETURN n + :result:{'entity_type': '"ORGANIZATION"', 'description': '"The School represents the institutional aspect of Scrooge\'s childhood, contrasting with the warmth and love represented by Fan."', 'source_id': 'chunk-c6c248858d1b13ab7ee9ca13c1aeed6b'} +2024-10-30 06:44:41,073 - lightrag - INFO - get_node:query:MATCH (n:`COLD`) RETURN n:result: +2024-10-30 06:44:41,204 - lightrag - INFO - _do_upsert:query: + MERGE (n:`COLD`) + SET n += $properties + RETURN n + :result:{'entity_type': '"CONCEPT"', 'description': '"Cold symbolizes the emotional detachment and isolation present in Scrooge\'s life, contrasting with the warmth of family and connection that he longs for."', 'source_id': 'chunk-c6c248858d1b13ab7ee9ca13c1aeed6b'} +2024-10-30 06:44:41,330 - lightrag - INFO - get_node:query:MATCH (n:`EVENING`) RETURN n:result: +2024-10-30 06:44:41,462 - lightrag - INFO - _do_upsert:query: + MERGE (n:`EVENING`) + SET n += $properties + RETURN n + :result:{'entity_type': '"EVENT"', 'description': '"Evening represents a time of transition and reflection as Scrooge recalls his past and seeks transformation."', 'source_id': 'chunk-c6c248858d1b13ab7ee9ca13c1aeed6b'} +2024-10-30 06:44:41,591 - lightrag - INFO - get_node:query:MATCH (n:`THE PARTY`) RETURN n:result:"The Party refers to the potential gathering for the funeral, which the characters consider with amusement rather than sincerity.""The Party refers to festive gatherings that Fezziwig hosts, showcasing joy and camaraderie during the Christmas season.""The Party refers to festive gatherings that Fezziwig hosts, showcasing joy and camaraderie during the Christmas season.""The Party refers to festive gatherings that Fezziwig hosts, showcasing joy and camaraderie during the Christmas season.""The Party refers to festive gatherings that Fezziwig hosts, showcasing joy and camaraderie during the Christmas season."', 'source_id': 'chunk-94bea83e7153fc2064aa382b494936a1chunk-f1a4fbcf1ed86864b9bfd5e8dba4c683chunk-c6c248858d1b13ab7ee9ca13c1aeed6b'}> +2024-10-30 06:44:41,720 - lightrag - INFO - _do_upsert:query: + MERGE (n:`THE PARTY`) + SET n += $properties + RETURN n + :result:{'entity_type': '"EVENT"', 'description': '"The Party is a festive gathering that celebrates Christmas, filled with games and joyful unity among friends and family.""The Party refers to the potential gathering for the funeral, which the characters consider with amusement rather than sincerity.""The Party refers to festive gatherings that Fezziwig hosts, showcasing joy and camaraderie during the Christmas season.""The Party refers to festive gatherings that Fezziwig hosts, showcasing joy and camaraderie during the Christmas season.""The Party refers to festive gatherings that Fezziwig hosts, showcasing joy and camaraderie during the Christmas season.""The Party refers to festive gatherings that Fezziwig hosts, showcasing joy and camaraderie during the Christmas season.""The Party refers to festive gatherings that Fezziwig hosts, showcasing joy and camaraderie during the Christmas season."', 'source_id': 'chunk-f1a4fbcf1ed86864b9bfd5e8dba4c683chunk-c6c248858d1b13ab7ee9ca13c1aeed6bchunk-94bea83e7153fc2064aa382b494936a1'} +2024-10-30 06:44:41,850 - lightrag - INFO - get_node:query:MATCH (n:`THE CHILDREN`) RETURN n:result:chunk-54bdd22db1f84a965b5f4c06c9216d8dchunk-83ac129dc9b56f84c46760d153d68e93chunk-19d72c57ae3408758b18d2568e86dc6bchunk-c6c248858d1b13ab7ee9ca13c1aeed6b'}> +2024-10-30 06:44:41,984 - lightrag - INFO - _do_upsert:query: + MERGE (n:`THE CHILDREN`) + SET n += $properties + RETURN n + :result:{'entity_type': '"PERSON"', 'description': '"The Children are a group experiencing feelings of wonder and delight during the gift-giving scene, highlighting innocence and joy.""The Children are a lively group in the matron\'s home, symbolizing joy, chaos, and familial warmth.""The Children in the Cratchit family represent innocence and curiosity, highlighting the effects of their family\'s struggles on their happiness.""The Children serve as symbols of innocence and joy, representing the untainted happiness of childhood that Scrooge longs to reconnect with.""The children are the offspring of the Cratchit family, showcasing innocence and joy during the Christmas celebrations, reacting with laughter and cheer."The Children are a lively and joyful group experiencing wonder and delight, especially during the gift-giving scenes of the Christmas festivities. They embody innocence and joy, highlighting the untainted happiness of childhood, a happiness that Ebenezer Scrooge longs to reconnect with. Among them are the offspring of the Cratchit family, who, despite the struggles their family faces, react with laughter and cheer during the Christmas celebrations. The Children symbolize familial warmth and chaotic joy in various settings, including the matron\'s home and their own family\'s environment, showcasing their carefree nature and the profound effects of their circumstances on their happiness. Overall, they represent the pure and curious essence of childhood, serving as a reminder of the happiness that can persist even amidst adversity.', 'source_id': 'chunk-da2472b4ef2a535b62908f14d0fb0ca9chunk-19d72c57ae3408758b18d2568e86dc6bchunk-c6c248858d1b13ab7ee9ca13c1aeed6bchunk-54bdd22db1f84a965b5f4c06c9216d8dchunk-83ac129dc9b56f84c46760d153d68e93'} +2024-10-30 06:44:42,112 - lightrag - INFO - get_node:query:MATCH (n:`A COACH TO BRING YOU HOME`) RETURN n:result: +2024-10-30 06:44:42,249 - lightrag - INFO - _do_upsert:query: + MERGE (n:`A COACH TO BRING YOU HOME`) + SET n += $properties + RETURN n + :result:{'entity_type': '"CONCEPT"', 'description': '"A Coach to Bring You Home symbolizes the hope and opportunity for reconnection and warmth in Scrooge\'s life."', 'source_id': 'chunk-c6c248858d1b13ab7ee9ca13c1aeed6b'} +2024-10-30 06:44:42,375 - lightrag - INFO - get_node:query:MATCH (n:`THE DANCERS`) RETURN n:result: +2024-10-30 06:44:42,507 - lightrag - INFO - _do_upsert:query: + MERGE (n:`THE DANCERS`) + SET n += $properties + RETURN n + :result:{'entity_type': '"ORGANIZATION"', 'description': '"The Dancers represent the lively group of people celebrating and participating in the festivities organized by Fezziwig."', 'source_id': 'chunk-8bc1edd983869352d14cf0886a9175a7'} +2024-10-30 06:44:42,634 - lightrag - INFO - get_node:query:MATCH (n:`THE FIDDLER`) RETURN n:result:"The Fiddler is a musician who plays at Fezziwig\'s celebration, providing music for the dancers and contributing to the festive atmosphere.""The Fiddler is a musician who plays at Fezziwig\'s celebration, providing music for the dancers and contributing to the festive atmosphere.""The Fiddler is a musician who plays at Fezziwig\'s celebration, providing music for the dancers and contributing to the festive atmosphere.""The Fiddler is a musician who plays during the festivities, contributing to the atmosphere of joy and celebration."', 'source_id': 'chunk-8bc1edd983869352d14cf0886a9175a7'}> +2024-10-30 06:44:42,761 - lightrag - INFO - _do_upsert:query: + MERGE (n:`THE FIDDLER`) + SET n += $properties + RETURN n + :result:{'entity_type': '"PERSON"', 'description': '"The Fiddler is a musician who plays at Fezziwig\'s celebration, providing music for the dancers and contributing to the festive atmosphere.""The Fiddler is a musician who plays at Fezziwig\'s celebration, providing music for the dancers and contributing to the festive atmosphere.""The Fiddler is a musician who plays at Fezziwig\'s celebration, providing music for the dancers and contributing to the festive atmosphere.""The Fiddler is a musician who plays at Fezziwig\'s celebration, providing music for the dancers and contributing to the festive atmosphere.""The Fiddler is a musician who plays at Fezziwig\'s celebration, providing music for the dancers and contributing to the festive atmosphere.""The Fiddler is a musician who plays during the festivities, contributing to the atmosphere of joy and celebration."', 'source_id': 'chunk-8bc1edd983869352d14cf0886a9175a7'} +2024-10-30 06:44:42,885 - lightrag - INFO - get_node:query:MATCH (n:`THE THREE MISS FEZZIWIGS`) RETURN n:result: +2024-10-30 06:44:43,013 - lightrag - INFO - _do_upsert:query: + MERGE (n:`THE THREE MISS FEZZIWIGS`) + SET n += $properties + RETURN n + :result:{'entity_type': '"PERSON"', 'description': '"The Three Miss Fezziwigs are jovial participants in the celebration, characterized by their lovable demeanor."', 'source_id': 'chunk-8bc1edd983869352d14cf0886a9175a7'} +2024-10-30 06:44:43,142 - lightrag - INFO - get_node:query:MATCH (n:`YOUNG FOLLOWERS`) RETURN n:result: +2024-10-30 06:44:43,274 - lightrag - INFO - _do_upsert:query: + MERGE (n:`YOUNG FOLLOWERS`) + SET n += $properties + RETURN n + :result:{'entity_type': '"ORGANIZATION"', 'description': '"The Young Followers consist of several young men and women who are employed in Fezziwig\'s business and participate in the festivities."', 'source_id': 'chunk-8bc1edd983869352d14cf0886a9175a7'} +2024-10-30 06:44:43,401 - lightrag - INFO - get_node:query:MATCH (n:`THE HOUSEMAID`) RETURN n:result:"The Housemaid is a character present during the celebrations, contributing to the lively atmosphere of the evening.""The Housemaid is a character present during the celebrations, contributing to the lively atmosphere of the evening.""The Housemaid is a character present during the celebrations, contributing to the lively atmosphere of the evening.""The Housemaid is mentioned as part of the domestic staff involved in the celebration, contributing to the jovial atmosphere."', 'source_id': 'chunk-8bc1edd983869352d14cf0886a9175a7'}> +2024-10-30 06:44:43,535 - lightrag - INFO - _do_upsert:query: + MERGE (n:`THE HOUSEMAID`) + SET n += $properties + RETURN n + :result:{'entity_type': '"PERSON"', 'description': '"The Housemaid is a character present during the celebrations, contributing to the lively atmosphere of the evening.""The Housemaid is a character present during the celebrations, contributing to the lively atmosphere of the evening.""The Housemaid is a character present during the celebrations, contributing to the lively atmosphere of the evening.""The Housemaid is a character present during the celebrations, contributing to the lively atmosphere of the evening.""The Housemaid is a character present during the celebrations, contributing to the lively atmosphere of the evening.""The Housemaid is mentioned as part of the domestic staff involved in the celebration, contributing to the jovial atmosphere."', 'source_id': 'chunk-8bc1edd983869352d14cf0886a9175a7'} +2024-10-30 06:44:43,664 - lightrag - INFO - get_node:query:MATCH (n:`THE COOK`) RETURN n:result:"The Cook is another character involved in the celebrations, participating in the festivities alongside other guests.""The Cook is another character involved in the celebrations, participating in the festivities alongside other guests.""The Cook is another character involved in the celebrations, participating in the festivities alongside other guests.""The Cook is part of the household and participates in the festive gathering, alongside other staff."', 'source_id': 'chunk-8bc1edd983869352d14cf0886a9175a7'}> +2024-10-30 06:44:43,797 - lightrag - INFO - _do_upsert:query: + MERGE (n:`THE COOK`) + SET n += $properties + RETURN n + :result:{'entity_type': '"PERSON"', 'description': '"The Cook is another character involved in the celebrations, participating in the festivities alongside other guests.""The Cook is another character involved in the celebrations, participating in the festivities alongside other guests.""The Cook is another character involved in the celebrations, participating in the festivities alongside other guests.""The Cook is another character involved in the celebrations, participating in the festivities alongside other guests.""The Cook is another character involved in the celebrations, participating in the festivities alongside other guests.""The Cook is part of the household and participates in the festive gathering, alongside other staff."', 'source_id': 'chunk-8bc1edd983869352d14cf0886a9175a7'} +2024-10-30 06:44:43,928 - lightrag - INFO - get_node:query:MATCH (n:`THE BAKER`) RETURN n:result:"The Baker is related to the Housemaid and present during the celebrations, adding to the communal aspect of the event.""The Baker is related to the Housemaid and present during the celebrations, adding to the communal aspect of the event.""The Baker is related to the Housemaid and present during the celebrations, adding to the communal aspect of the event.""The Baker is related to the Housemaid and present during the celebrations, adding to the communal aspect of the event."', 'source_id': 'chunk-8bc1edd983869352d14cf0886a9175a7'}> +2024-10-30 06:44:44,060 - lightrag - INFO - _do_upsert:query: + MERGE (n:`THE BAKER`) + SET n += $properties + RETURN n + :result:{'entity_type': '"PERSON"', 'description': '"The Baker is a cousin to the housemaid, indicating the interconnectedness of the household staff during the festivities.""The Baker is related to the Housemaid and present during the celebrations, adding to the communal aspect of the event.""The Baker is related to the Housemaid and present during the celebrations, adding to the communal aspect of the event.""The Baker is related to the Housemaid and present during the celebrations, adding to the communal aspect of the event.""The Baker is related to the Housemaid and present during the celebrations, adding to the communal aspect of the event.""The Baker is related to the Housemaid and present during the celebrations, adding to the communal aspect of the event."', 'source_id': 'chunk-8bc1edd983869352d14cf0886a9175a7'} +2024-10-30 06:44:44,187 - lightrag - INFO - get_node:query:MATCH (n:`THE BOY FROM OVER THE WAY`) RETURN n:result: +2024-10-30 06:44:44,321 - lightrag - INFO - _do_upsert:query: + MERGE (n:`THE BOY FROM OVER THE WAY`) + SET n += $properties + RETURN n + :result:{'entity_type': '"PERSON"', 'description': '"The Boy from Over the Way is a humorous character trying to hide behind another participant, showcasing the inclusiveness of the celebrations."', 'source_id': 'chunk-8bc1edd983869352d14cf0886a9175a7'} +2024-10-30 06:44:44,445 - lightrag - INFO - get_node:query:MATCH (n:`THE GIRL FROM NEXT DOOR`) RETURN n:result: +2024-10-30 06:44:44,577 - lightrag - INFO - _do_upsert:query: + MERGE (n:`THE GIRL FROM NEXT DOOR`) + SET n += $properties + RETURN n + :result:{'entity_type': '"PERSON"', 'description': '"The Girl from Next Door is referenced as hiding from the Boy, illustrating the interactions during the event."', 'source_id': 'chunk-8bc1edd983869352d14cf0886a9175a7'} +2024-10-30 06:44:44,702 - lightrag - INFO - get_node:query:MATCH (n:`DICK`) RETURN n:result:"Dick is associated with Scrooge\'s former self, evoking nostalgic memories as Scrooge witnesses the past.""Dick is associated with Scrooge\'s former self, evoking nostalgic memories as Scrooge witnesses the past.""Dick is associated with Scrooge\'s former self, evoking nostalgic memories as Scrooge witnesses the past.""Dick is associated with Scrooge\'s former self, evoking nostalgic memories as Scrooge witnesses the past."', 'source_id': 'chunk-b2f98bc7abb0c67d4c86055c7fd72218'}> +2024-10-30 06:44:44,833 - lightrag - INFO - _do_upsert:query: + MERGE (n:`DICK`) + SET n += $properties + RETURN n + :result:{'entity_type': '"PERSON"', 'description': '"Dick is a character from Scrooge\'s past, reminisced about during the scene, representing the camaraderie shared during the ball.""Dick is associated with Scrooge\'s former self, evoking nostalgic memories as Scrooge witnesses the past.""Dick is associated with Scrooge\'s former self, evoking nostalgic memories as Scrooge witnesses the past.""Dick is associated with Scrooge\'s former self, evoking nostalgic memories as Scrooge witnesses the past.""Dick is associated with Scrooge\'s former self, evoking nostalgic memories as Scrooge witnesses the past.""Dick is associated with Scrooge\'s former self, evoking nostalgic memories as Scrooge witnesses the past."', 'source_id': 'chunk-b2f98bc7abb0c67d4c86055c7fd72218'} +2024-10-30 06:44:44,961 - lightrag - INFO - get_node:query:MATCH (n:`THE GHOST OF CHRISTMAS PAST`) RETURN n:result:"The Ghost of Christmas Past is a supernatural entity that allows Scrooge to revisit and reflect on his previous life experiences.""The Ghost of Christmas Past is a supernatural entity that allows Scrooge to revisit and reflect on his previous life experiences.""The Ghost of Christmas Past is a supernatural entity that allows Scrooge to revisit and reflect on his previous life experiences.""The Ghost of Christmas Past is a supernatural entity that shows Scrooge moments from his past, eliciting reflection and emotion.""The Ghost of Christmas Past represents Scrooge\'s history and helps him confront his former self and decisions made in life.""The Ghost of Christmas Past represents Scrooge\'s history and helps him confront his former self and decisions made in life.""The Ghost of Christmas Past represents Scrooge\'s history and helps him confront his former self and decisions made in life.""The Ghost of Christmas Past represents Scrooge\'s history and helps him confront his former self and decisions made in life."', 'source_id': 'chunk-90b95db5c53e4364a6bee36b7aa4d70fchunk-b2f98bc7abb0c67d4c86055c7fd72218'}> +2024-10-30 06:44:45,096 - lightrag - INFO - _do_upsert:query: + MERGE (n:`THE GHOST OF CHRISTMAS PAST`) + SET n += $properties + RETURN n + :result:{'entity_type': '"EVENT"', 'description': '"The Ghost of Christmas Past is a supernatural entity that allows Scrooge to revisit and reflect on his previous life experiences.""The Ghost of Christmas Past is a supernatural entity that allows Scrooge to revisit and reflect on his previous life experiences.""The Ghost of Christmas Past is a supernatural entity that allows Scrooge to revisit and reflect on his previous life experiences.""The Ghost of Christmas Past is a supernatural entity that allows Scrooge to revisit and reflect on his previous life experiences.""The Ghost of Christmas Past is a supernatural entity that allows Scrooge to revisit and reflect on his previous life experiences.""The Ghost of Christmas Past is a supernatural entity that shows Scrooge moments from his past, eliciting reflection and emotion.""The Ghost of Christmas Past represents Scrooge\'s history and helps him confront his former self and decisions made in life.""The Ghost of Christmas Past represents Scrooge\'s history and helps him confront his former self and decisions made in life.""The Ghost of Christmas Past represents Scrooge\'s history and helps him confront his former self and decisions made in life.""The Ghost of Christmas Past represents Scrooge\'s history and helps him confront his former self and decisions made in life.""The Ghost of Christmas Past represents Scrooge\'s history and helps him confront his former self and decisions made in life."', 'source_id': 'chunk-b2f98bc7abb0c67d4c86055c7fd72218chunk-90b95db5c53e4364a6bee36b7aa4d70f'} +2024-10-30 06:44:45,222 - lightrag - INFO - get_node:query:MATCH (n:`THE DOMESTIC BALL`) RETURN n:result:"The Domestic Ball represents a joyful gathering, fostering a sense of community and happiness among the participants.""The Domestic Ball represents a joyful gathering, fostering a sense of community and happiness among the participants.""The Domestic Ball represents a joyful gathering, fostering a sense of community and happiness among the participants.""The Domestic Ball represents a joyful gathering, fostering a sense of community and happiness among the participants."', 'source_id': 'chunk-b2f98bc7abb0c67d4c86055c7fd72218'}> +2024-10-30 06:44:45,353 - lightrag - INFO - _do_upsert:query: + MERGE (n:`THE DOMESTIC BALL`) + SET n += $properties + RETURN n + :result:{'entity_type': '"EVENT"', 'description': '"The Domestic Ball is a joyful celebration organized by Fezziwig, where guests enjoy dancing and merry exchanges.""The Domestic Ball represents a joyful gathering, fostering a sense of community and happiness among the participants.""The Domestic Ball represents a joyful gathering, fostering a sense of community and happiness among the participants.""The Domestic Ball represents a joyful gathering, fostering a sense of community and happiness among the participants.""The Domestic Ball represents a joyful gathering, fostering a sense of community and happiness among the participants.""The Domestic Ball represents a joyful gathering, fostering a sense of community and happiness among the participants."', 'source_id': 'chunk-b2f98bc7abb0c67d4c86055c7fd72218'} +2024-10-30 06:44:45,482 - lightrag - INFO - get_node:query:MATCH (n:`THE TWO APPRENTICES`) RETURN n:result:"The Two Apprentices are characters present at the Domestic Ball, who express gratitude and admiration for Fezziwig after the event.""The Two Apprentices are characters present at the Domestic Ball, who express gratitude and admiration for Fezziwig after the event.""The Two Apprentices are characters present at the Domestic Ball, who express gratitude and admiration for Fezziwig after the event.""The Two Apprentices are characters present at the Domestic Ball, who express gratitude and admiration for Fezziwig after the event."', 'source_id': 'chunk-b2f98bc7abb0c67d4c86055c7fd72218'}> +2024-10-30 06:44:45,613 - lightrag - INFO - _do_upsert:query: + MERGE (n:`THE TWO APPRENTICES`) + SET n += $properties + RETURN n + :result:{'entity_type': '"PERSON"', 'description': '"The Two Apprentices are characters from Fezziwig\'s establishment who express gratitude and admiration for Fezziwig\'s positive influence during the Domestic Ball.""The Two Apprentices are characters present at the Domestic Ball, who express gratitude and admiration for Fezziwig after the event.""The Two Apprentices are characters present at the Domestic Ball, who express gratitude and admiration for Fezziwig after the event.""The Two Apprentices are characters present at the Domestic Ball, who express gratitude and admiration for Fezziwig after the event.""The Two Apprentices are characters present at the Domestic Ball, who express gratitude and admiration for Fezziwig after the event.""The Two Apprentices are characters present at the Domestic Ball, who express gratitude and admiration for Fezziwig after the event."', 'source_id': 'chunk-b2f98bc7abb0c67d4c86055c7fd72218'} +2024-10-30 06:44:45,741 - lightrag - INFO - get_node:query:MATCH (n:`THE GOLDEN IDOL`) RETURN n:result: +2024-10-30 06:44:45,871 - lightrag - INFO - _do_upsert:query: + MERGE (n:`THE GOLDEN IDOL`) + SET n += $properties + RETURN n + :result:{'entity_type': '"CONCEPT"', 'description': '"The Golden Idol symbolizes materialism and the pursuit of wealth, indicating a shift in Scrooge\'s values over time."', 'source_id': 'chunk-b2f98bc7abb0c67d4c86055c7fd72218'} +2024-10-30 06:44:46,001 - lightrag - INFO - get_node:query:MATCH (n:`THE PRIME OF LIFE`) RETURN n:result: +2024-10-30 06:44:46,125 - lightrag - INFO - _do_upsert:query: + MERGE (n:`THE PRIME OF LIFE`) + SET n += $properties + RETURN n + :result:{'entity_type': '"EVENT"', 'description': '"The Prime of Life refers to a phase in Scrooge\'s youth when he was more carefree before becoming hardened by greed."', 'source_id': 'chunk-b2f98bc7abb0c67d4c86055c7fd72218'} +2024-10-30 06:44:46,252 - lightrag - INFO - get_node:query:MATCH (n:`THE MOURNING DRESS`) RETURN n:result: +2024-10-30 06:44:46,380 - lightrag - INFO - _do_upsert:query: + MERGE (n:`THE MOURNING DRESS`) + SET n += $properties + RETURN n + :result:{'entity_type': '"CONCEPT"', 'description': '"The Mourning Dress symbolizes loss and separation, highlighting the emotional distance between Scrooge and his former love."', 'source_id': 'chunk-b2f98bc7abb0c67d4c86055c7fd72218'} +2024-10-30 06:44:46,507 - lightrag - INFO - get_node:query:MATCH (n:`THE BEAUTIFUL YOUNG GIRL`) RETURN n:result: +2024-10-30 06:44:46,636 - lightrag - INFO - _do_upsert:query: + MERGE (n:`THE BEAUTIFUL YOUNG GIRL`) + SET n += $properties + RETURN n + :result:{'entity_type': '"PERSON"', 'description': '"The Beautiful Young Girl is a figure from Scrooge\'s past, representing lost opportunities and innocence."', 'source_id': 'chunk-54bdd22db1f84a965b5f4c06c9216d8d'} +2024-10-30 06:44:46,766 - lightrag - INFO - get_node:query:MATCH (n:`THE COMELY MATRON`) RETURN n:result: +2024-10-30 06:44:46,900 - lightrag - INFO - _do_upsert:query: + MERGE (n:`THE COMELY MATRON`) + SET n += $properties + RETURN n + :result:{'entity_type': '"PERSON"', 'description': '"The Comely Matron is the grown-up version of the Beautiful Young Girl, emphasizing change and the passage of time."', 'source_id': 'chunk-54bdd22db1f84a965b5f4c06c9216d8d'} +2024-10-30 06:44:47,024 - lightrag - INFO - get_node:query:MATCH (n:`CHRISTMAS TOYS AND PRESENTS`) RETURN n:result:"Christmas Toys and Presents are associated with familial love and joy, as they arrive with the father, enhancing the holiday spirit.""Christmas Toys and Presents are associated with familial love and joy, as they arrive with the father, enhancing the holiday spirit.""Christmas Toys and Presents are associated with familial love and joy, as they arrive with the father, enhancing the holiday spirit.""Christmas Toys and Presents are associated with joy and celebration, marking the festive occasion and the love shared among family.""Christmas Toys and Presents signify the spirit of giving and the excitement that surrounds the holiday season, especially for children.""Christmas Toys and Presents signify the spirit of giving and the excitement that surrounds the holiday season, especially for children.""Christmas Toys and Presents signify the spirit of giving and the excitement that surrounds the holiday season, especially for children.""Christmas Toys and Presents signify the spirit of giving and the excitement that surrounds the holiday season, especially for children."', 'source_id': 'chunk-da2472b4ef2a535b62908f14d0fb0ca9chunk-54bdd22db1f84a965b5f4c06c9216d8d'}> +2024-10-30 06:44:47,151 - lightrag - INFO - _do_upsert:query: + MERGE (n:`CHRISTMAS TOYS AND PRESENTS`) + SET n += $properties + RETURN n + :result:{'entity_type': '"EVENT"', 'description': '"Christmas Toys and Presents are associated with familial love and joy, as they arrive with the father, enhancing the holiday spirit.""Christmas Toys and Presents are associated with familial love and joy, as they arrive with the father, enhancing the holiday spirit.""Christmas Toys and Presents are associated with familial love and joy, as they arrive with the father, enhancing the holiday spirit.""Christmas Toys and Presents are associated with familial love and joy, as they arrive with the father, enhancing the holiday spirit.""Christmas Toys and Presents are associated with familial love and joy, as they arrive with the father, enhancing the holiday spirit.""Christmas Toys and Presents are associated with joy and celebration, marking the festive occasion and the love shared among family.""Christmas Toys and Presents signify the spirit of giving and the excitement that surrounds the holiday season, especially for children.""Christmas Toys and Presents signify the spirit of giving and the excitement that surrounds the holiday season, especially for children.""Christmas Toys and Presents signify the spirit of giving and the excitement that surrounds the holiday season, especially for children.""Christmas Toys and Presents signify the spirit of giving and the excitement that surrounds the holiday season, especially for children.""Christmas Toys and Presents signify the spirit of giving and the excitement that surrounds the holiday season, especially for children."', 'source_id': 'chunk-54bdd22db1f84a965b5f4c06c9216d8dchunk-da2472b4ef2a535b62908f14d0fb0ca9'} +2024-10-30 06:44:47,280 - lightrag - INFO - get_node:query:MATCH (n:`THE ROOM`) RETURN n:result: +2024-10-30 06:44:47,414 - lightrag - INFO - _do_upsert:query: + MERGE (n:`THE ROOM`) + SET n += $properties + RETURN n + :result:{'entity_type': '"GEO"', 'description': '"The Room is described as a cozy, comfortable setting where the comely matron and her children interact during festive times."', 'source_id': 'chunk-54bdd22db1f84a965b5f4c06c9216d8d'} +2024-10-30 06:44:47,543 - lightrag - INFO - get_node:query:MATCH (n:`THE WINTER FIRE`) RETURN n:result: +2024-10-30 06:44:47,670 - lightrag - INFO - _do_upsert:query: + MERGE (n:`THE WINTER FIRE`) + SET n += $properties + RETURN n + :result:{'entity_type': '"EVENT"', 'description': '"The Winter Fire represents warmth and comfort in the room where the matron and children gather, enhancing the festive atmosphere."', 'source_id': 'chunk-54bdd22db1f84a965b5f4c06c9216d8d'} +2024-10-30 06:44:47,795 - lightrag - INFO - get_node:query:MATCH (n:`THE FATHER`) RETURN n:result:"The Father is a character who returns home and is greeted with excitement, embodying family warmth and joy during Christmas celebrations.""The Father is a character who returns home with presents, symbolizing the joy of family and the spirit of giving during Christmas.""The Father is a character who returns home and is greeted with excitement, embodying family warmth and joy during Christmas celebrations.""The Father is a character who returns home with presents, symbolizing the joy of family and the spirit of giving during Christmas.""The Father is a character who returns home and is greeted with excitement, embodying family warmth and joy during Christmas celebrations.""The Father is a character who returns home with presents, symbolizing the joy of family and the spirit of giving during Christmas.""The Father is a character who returns home and is greeted with excitement, embodying family warmth and joy during Christmas celebrations.""The Father is a character who returns home with presents, symbolizing the joy of family and the spirit of giving during Christmas."', 'source_id': 'chunk-da2472b4ef2a535b62908f14d0fb0ca9chunk-54bdd22db1f84a965b5f4c06c9216d8d'}> +2024-10-30 06:44:47,925 - lightrag - INFO - _do_upsert:query: + MERGE (n:`THE FATHER`) + SET n += $properties + RETURN n + :result:{'entity_type': '"PERSON"', 'description': '"The Father is a character who arrives home with Christmas presents, symbolizing familial joy and festive spirit.""The Father is a character who returns home and is greeted with excitement, embodying family warmth and joy during Christmas celebrations.""The Father is a character who returns home with presents, symbolizing the joy of family and the spirit of giving during Christmas.""The Father is a character who returns home and is greeted with excitement, embodying family warmth and joy during Christmas celebrations.""The Father is a character who returns home with presents, symbolizing the joy of family and the spirit of giving during Christmas.""The Father is a character who returns home and is greeted with excitement, embodying family warmth and joy during Christmas celebrations.""The Father is a character who returns home with presents, symbolizing the joy of family and the spirit of giving during Christmas.""The Father is a character who returns home and is greeted with excitement, embodying family warmth and joy during Christmas celebrations.""The Father is a character who returns home with presents, symbolizing the joy of family and the spirit of giving during Christmas.""The Father is a character who returns home and is greeted with excitement, embodying family warmth and joy during Christmas celebrations.""The Father is a character who returns home with presents, symbolizing the joy of family and the spirit of giving during Christmas."', 'source_id': 'chunk-54bdd22db1f84a965b5f4c06c9216d8dchunk-da2472b4ef2a535b62908f14d0fb0ca9'} +2024-10-30 06:44:48,048 - lightrag - INFO - get_node:query:MATCH (n:`THE YOUNG BRIGANDS`) RETURN n:result: +2024-10-30 06:44:48,174 - lightrag - INFO - _do_upsert:query: + MERGE (n:`THE YOUNG BRIGANDS`) + SET n += $properties + RETURN n + :result:{'entity_type': '"PERSON"', 'description': '"The Young Brigands are a playful group of children engaged in merriment and mischief during the festive celebration."', 'source_id': 'chunk-54bdd22db1f84a965b5f4c06c9216d8d'} +2024-10-30 06:44:48,297 - lightrag - INFO - get_node:query:MATCH (n:`THE DOWERLESS GIRL`) RETURN n:result: +2024-10-30 06:44:48,428 - lightrag - INFO - _do_upsert:query: + MERGE (n:`THE DOWERLESS GIRL`) + SET n += $properties + RETURN n + :result:{'entity_type': '"PERSON"', 'description': '"The Dowerless Girl is a symbolic representation of the limitations in relationships based on social and economic status as reflected in Scrooge\'s dialogue."', 'source_id': 'chunk-54bdd22db1f84a965b5f4c06c9216d8d'} +2024-10-30 06:44:48,557 - lightrag - INFO - get_node:query:MATCH (n:`THE MEMORY`) RETURN n:result: +2024-10-30 06:44:48,690 - lightrag - INFO - _do_upsert:query: + MERGE (n:`THE MEMORY`) + SET n += $properties + RETURN n + :result:{'entity_type': '"CONCEPT"', 'description': '"The Memory refers to the recollections of past relationships and feelings that haunt Scrooge as he contemplates his choices."', 'source_id': 'chunk-54bdd22db1f84a965b5f4c06c9216d8d'} +2024-10-30 06:44:48,813 - lightrag - INFO - get_node:query:MATCH (n:`HAPPINESS`) RETURN n:result: +2024-10-30 06:44:48,946 - lightrag - INFO - _do_upsert:query: + MERGE (n:`HAPPINESS`) + SET n += $properties + RETURN n + :result:{'entity_type': '"CONCEPT"', 'description': '"Happiness signifies the conflicting emotions Scrooge feels regarding past love and the reality of his current life choices."', 'source_id': 'chunk-54bdd22db1f84a965b5f4c06c9216d8d'} +2024-10-30 06:44:49,068 - lightrag - INFO - get_node:query:MATCH (n:`HOPE`) RETURN n:result:"Hope emerges as a central theme in the characters\' lives, particularly through Caroline\'s reaction to news about the husband and the family\'s future.""Hope emerges as a central theme in the characters\' lives, particularly through Caroline\'s reaction to news about the husband and the family\'s future.""Hope emerges as a central theme in the characters\' lives, particularly through Caroline\'s reaction to news about the husband and the family\'s future.""Hope represents the aspirations and dreams that characters have, particularly in the context of the matron\'s optimistic nature.""Hope represents the aspirations and dreams that characters have, particularly in the context of the matron\'s optimistic nature.""Hope represents the aspirations and dreams that characters have, particularly in the context of the matron\'s optimistic nature.""Hope represents the aspirations and dreams that characters have, particularly in the context of the matron\'s optimistic nature."', 'source_id': 'chunk-83ac129dc9b56f84c46760d153d68e93chunk-54bdd22db1f84a965b5f4c06c9216d8d'}> +2024-10-30 06:44:49,198 - lightrag - INFO - _do_upsert:query: + MERGE (n:`HOPE`) + SET n += $properties + RETURN n + :result:{'entity_type': '"CONCEPT"', 'description': '"Hope emerges as a central theme in the characters\' lives, particularly through Caroline\'s reaction to news about the husband and the family\'s future.""Hope emerges as a central theme in the characters\' lives, particularly through Caroline\'s reaction to news about the husband and the family\'s future.""Hope emerges as a central theme in the characters\' lives, particularly through Caroline\'s reaction to news about the husband and the family\'s future.""Hope emerges as a central theme in the characters\' lives, particularly through Caroline\'s reaction to news about the husband and the family\'s future.""Hope emerges as a central theme in the characters\' lives, particularly through Caroline\'s reaction to news about the husband and the family\'s future.""Hope represents the aspirations and dreams that characters have, particularly in the context of the matron\'s optimistic nature.""Hope represents the aspirations and dreams that characters have, particularly in the context of the matron\'s optimistic nature.""Hope represents the aspirations and dreams that characters have, particularly in the context of the matron\'s optimistic nature.""Hope represents the aspirations and dreams that characters have, particularly in the context of the matron\'s optimistic nature.""Hope represents the aspirations and dreams that characters have, particularly in the context of the matron\'s optimistic nature."', 'source_id': 'chunk-54bdd22db1f84a965b5f4c06c9216d8dchunk-83ac129dc9b56f84c46760d153d68e93'} +2024-10-30 06:44:49,323 - lightrag - INFO - get_node:query:MATCH (n:`BELLE`) RETURN n:result:"Belle is Scrooge\'s former love, evidence of care and affection, now mentioned in the context of Scrooge’s memories.""Belle is Scrooge\'s former love, evidence of care and affection, now mentioned in the context of Scrooge’s memories.""Belle is Scrooge\'s former love, evidence of care and affection, now mentioned in the context of Scrooge’s memories.""Belle is Scrooge\'s former love, evidence of care and affection, now mentioned in the context of Scrooge’s memories."', 'source_id': 'chunk-da2472b4ef2a535b62908f14d0fb0ca9'}> +2024-10-30 06:44:49,453 - lightrag - INFO - _do_upsert:query: + MERGE (n:`BELLE`) + SET n += $properties + RETURN n + :result:{'entity_type': '"PERSON"', 'description': '"Belle is Scrooge\'s former love whose presence evokes strong feelings of longing and sorrow in Scrooge.""Belle is Scrooge\'s former love, evidence of care and affection, now mentioned in the context of Scrooge’s memories.""Belle is Scrooge\'s former love, evidence of care and affection, now mentioned in the context of Scrooge’s memories.""Belle is Scrooge\'s former love, evidence of care and affection, now mentioned in the context of Scrooge’s memories.""Belle is Scrooge\'s former love, evidence of care and affection, now mentioned in the context of Scrooge’s memories.""Belle is Scrooge\'s former love, evidence of care and affection, now mentioned in the context of Scrooge’s memories."', 'source_id': 'chunk-da2472b4ef2a535b62908f14d0fb0ca9'} +2024-10-30 06:44:49,580 - lightrag - INFO - get_node:query:MATCH (n:`THE OFFICE`) RETURN n:result:"The Office is Scrooge\'s workplace, signifying his past life and the memories associated with his business dealings.""The Office is Scrooge\'s workplace, signifying his past life and the memories associated with his business dealings.""The Office is Scrooge\'s workplace, signifying his past life and the memories associated with his business dealings.""The Office refers to Scrooge\'s workplace, emphasizing his isolation and the business-focused nature of his life.""The Office refers to the workplace where Scrooge and Bob Cratchit interact, highlighting the power dynamics and work-related tension.""The Office refers to Scrooge\'s workplace, emphasizing his isolation and the business-focused nature of his life.""The Office refers to the workplace where Scrooge and Bob Cratchit interact, highlighting the power dynamics and work-related tension.""The Office refers to Scrooge\'s workplace, emphasizing his isolation and the business-focused nature of his life.""The Office refers to the workplace where Scrooge and Bob Cratchit interact, highlighting the power dynamics and work-related tension.""The Office refers to Scrooge\'s workplace, emphasizing his isolation and the business-focused nature of his life.""The Office refers to the workplace where Scrooge and Bob Cratchit interact, highlighting the power dynamics and work-related tension."', 'source_id': 'chunk-94bea83e7153fc2064aa382b494936a1chunk-91572b3cd42786ba4cb2f180ca25cbf4chunk-da2472b4ef2a535b62908f14d0fb0ca9'}> +2024-10-30 06:44:49,714 - lightrag - INFO - _do_upsert:query: + MERGE (n:`THE OFFICE`) + SET n += $properties + RETURN n + :result:{'entity_type': '"ORGANIZATION"', 'description': '"The Office is Scrooge\'s workplace, signifying his past life and the memories associated with his business dealings.""The Office is Scrooge\'s workplace, signifying his past life and the memories associated with his business dealings.""The Office is Scrooge\'s workplace, signifying his past life and the memories associated with his business dealings.""The Office is Scrooge\'s workplace, signifying his past life and the memories associated with his business dealings.""The Office is Scrooge\'s workplace, signifying his past life and the memories associated with his business dealings.""The Office refers to Scrooge\'s workplace, emphasizing his isolation and the business-focused nature of his life.""The Office refers to the workplace where Scrooge and Bob Cratchit interact, highlighting the power dynamics and work-related tension.""The Office refers to Scrooge\'s workplace, emphasizing his isolation and the business-focused nature of his life.""The Office refers to the workplace where Scrooge and Bob Cratchit interact, highlighting the power dynamics and work-related tension.""The Office refers to Scrooge\'s workplace, emphasizing his isolation and the business-focused nature of his life.""The Office refers to the workplace where Scrooge and Bob Cratchit interact, highlighting the power dynamics and work-related tension.""The Office refers to Scrooge\'s workplace, emphasizing his isolation and the business-focused nature of his life.""The Office refers to the workplace where Scrooge and Bob Cratchit interact, highlighting the power dynamics and work-related tension.""The Office refers to Scrooge\'s workplace, emphasizing his isolation and the business-focused nature of his life.""The Office refers to the workplace where Scrooge and Bob Cratchit interact, highlighting the power dynamics and work-related tension."', 'source_id': 'chunk-da2472b4ef2a535b62908f14d0fb0ca9chunk-91572b3cd42786ba4cb2f180ca25cbf4chunk-94bea83e7153fc2064aa382b494936a1'} +2024-10-30 06:44:49,844 - lightrag - INFO - get_node:query:MATCH (n:`THE PORTER`) RETURN n:result:"The Porter is depicted as a defenseless character being playfully assaulted by the children during their festive excitement.""The Porter is depicted as a defenseless character being playfully assaulted by the children during their festive excitement.""The Porter is depicted as a defenseless character being playfully assaulted by the children during their festive excitement.""The Porter is depicted as a defenseless character being playfully assaulted by the children during their festive excitement."', 'source_id': 'chunk-da2472b4ef2a535b62908f14d0fb0ca9'}> +2024-10-30 06:44:49,974 - lightrag - INFO - _do_upsert:query: + MERGE (n:`THE PORTER`) + SET n += $properties + RETURN n + :result:{'entity_type': '"PERSON"', 'description': '"The Porter is a character who becomes the target of playful affection from the children, showcasing innocence and chaos during celebrations.""The Porter is depicted as a defenseless character being playfully assaulted by the children during their festive excitement.""The Porter is depicted as a defenseless character being playfully assaulted by the children during their festive excitement.""The Porter is depicted as a defenseless character being playfully assaulted by the children during their festive excitement.""The Porter is depicted as a defenseless character being playfully assaulted by the children during their festive excitement.""The Porter is depicted as a defenseless character being playfully assaulted by the children during their festive excitement."', 'source_id': 'chunk-da2472b4ef2a535b62908f14d0fb0ca9'} +2024-10-30 06:44:50,099 - lightrag - INFO - get_node:query:MATCH (n:`THE BABY`) RETURN n:result: +2024-10-30 06:44:50,225 - lightrag - INFO - _do_upsert:query: + MERGE (n:`THE BABY`) + SET n += $properties + RETURN n + :result:{'entity_type': '"PERSON"', 'description': '"The Baby is involved in a comical mishap concerning a doll\'s frying pan, symbolizing the innocence and curiosity of childhood."', 'source_id': 'chunk-da2472b4ef2a535b62908f14d0fb0ca9'} +2024-10-30 06:44:50,351 - lightrag - INFO - get_node:query:MATCH (n:`THE MOTHER`) RETURN n:result:"The Mother is a character associated with the family dynamics during the Christmas scene, though her actions are not explicitly detailed.""The Mother is depicted as a comely matron, who enjoys the laughter and chaos with her children, showing warmth and family value.""The Mother is a character who exhibits anxiety and hope as she awaits her husband\'s return, embodying the emotional depth of family relations during hardship.""The Mother is a character who shares a tender moment with her husband and daughter, representing familial love and connection.""The Mother is a character who exhibits anxiety and hope as she awaits her husband\'s return, embodying the emotional depth of family relations during hardship.""The Mother is a character who shares a tender moment with her husband and daughter, representing familial love and connection.""The Mother is a character who exhibits anxiety and hope as she awaits her husband\'s return, embodying the emotional depth of family relations during hardship.""The Mother is a character who shares a tender moment with her husband and daughter, representing familial love and connection.""The Mother is a character who exhibits anxiety and hope as she awaits her husband\'s return, embodying the emotional depth of family relations during hardship.""The Mother is a character who shares a tender moment with her husband and daughter, representing familial love and connection."', 'source_id': 'chunk-da2472b4ef2a535b62908f14d0fb0ca9chunk-83ac129dc9b56f84c46760d153d68e93chunk-54bdd22db1f84a965b5f4c06c9216d8d'}> +2024-10-30 06:44:50,484 - lightrag - INFO - _do_upsert:query: + MERGE (n:`THE MOTHER`) + SET n += $properties + RETURN n + :result:{'entity_type': '"PERSON"', 'description': '"The Mother exemplifies apprehension and hope regarding her husband\'s return, depicting the emotional burden of waiting and uncertainty.""The Mother is a character associated with the family dynamics during the Christmas scene, though her actions are not explicitly detailed.""The Mother is depicted as a comely matron, who enjoys the laughter and chaos with her children, showing warmth and family value.""The Mother is a character who exhibits anxiety and hope as she awaits her husband\'s return, embodying the emotional depth of family relations during hardship.""The Mother is a character who shares a tender moment with her husband and daughter, representing familial love and connection.""The Mother is a character who exhibits anxiety and hope as she awaits her husband\'s return, embodying the emotional depth of family relations during hardship.""The Mother is a character who shares a tender moment with her husband and daughter, representing familial love and connection.""The Mother is a character who exhibits anxiety and hope as she awaits her husband\'s return, embodying the emotional depth of family relations during hardship.""The Mother is a character who shares a tender moment with her husband and daughter, representing familial love and connection.""The Mother is a character who exhibits anxiety and hope as she awaits her husband\'s return, embodying the emotional depth of family relations during hardship.""The Mother is a character who shares a tender moment with her husband and daughter, representing familial love and connection.""The Mother is a character who exhibits anxiety and hope as she awaits her husband\'s return, embodying the emotional depth of family relations during hardship.""The Mother is a character who shares a tender moment with her husband and daughter, representing familial love and connection."', 'source_id': 'chunk-54bdd22db1f84a965b5f4c06c9216d8dchunk-da2472b4ef2a535b62908f14d0fb0ca9chunk-83ac129dc9b56f84c46760d153d68e93'} +2024-10-30 06:44:50,613 - lightrag - INFO - get_node:query:MATCH (n:`CITY`) RETURN n:result:"The City represents the urban setting where Scrooge witnesses the indifference of its inhabitants regarding his death.""The City represents the urban setting where Scrooge\'s transformation takes place, symbolizing the broader society impacted by his changes.""The City serves as a backdrop where various scenes unfold, representing the hustle of life and economic concerns.""The City symbolizes the urban setting where Scrooge\'s transformation takes place, primarily depicting the contrast between Scrooge\'s isolation and the outer world filled with festivities.""The City serves as a backdrop where various scenes unfold, representing the hustle of life and economic concerns.""The City symbolizes the urban setting where Scrooge\'s transformation takes place, primarily depicting the contrast between Scrooge\'s isolation and the outer world filled with festivities.""The City serves as a backdrop where various scenes unfold, representing the hustle of life and economic concerns.""The City symbolizes the urban setting where Scrooge\'s transformation takes place, primarily depicting the contrast between Scrooge\'s isolation and the outer world filled with festivities.""The City serves as a backdrop where various scenes unfold, representing the hustle of life and economic concerns.""The City symbolizes the urban setting where Scrooge\'s transformation takes place, primarily depicting the contrast between Scrooge\'s isolation and the outer world filled with festivities."', 'source_id': 'chunk-94bea83e7153fc2064aa382b494936a1chunk-843b5b2f944c7413d9ca876e2e2f151fchunk-02baee20cc9463dbe08170a8e1043e32'}> +2024-10-30 06:44:50,746 - lightrag - INFO - _do_upsert:query: + MERGE (n:`CITY`) + SET n += $properties + RETURN n + :result:{'entity_type': '"GEO"', 'description': '"The City refers to a generic location embodying the community and societal norms, with which Scrooge has a complex relationship.""The City represents the urban setting where Scrooge witnesses the indifference of its inhabitants regarding his death.""The City represents the urban setting where Scrooge\'s transformation takes place, symbolizing the broader society impacted by his changes.""The City serves as a backdrop where various scenes unfold, representing the hustle of life and economic concerns.""The City symbolizes the urban setting where Scrooge\'s transformation takes place, primarily depicting the contrast between Scrooge\'s isolation and the outer world filled with festivities.""The City serves as a backdrop where various scenes unfold, representing the hustle of life and economic concerns.""The City symbolizes the urban setting where Scrooge\'s transformation takes place, primarily depicting the contrast between Scrooge\'s isolation and the outer world filled with festivities.""The City serves as a backdrop where various scenes unfold, representing the hustle of life and economic concerns.""The City symbolizes the urban setting where Scrooge\'s transformation takes place, primarily depicting the contrast between Scrooge\'s isolation and the outer world filled with festivities.""The City serves as a backdrop where various scenes unfold, representing the hustle of life and economic concerns.""The City symbolizes the urban setting where Scrooge\'s transformation takes place, primarily depicting the contrast between Scrooge\'s isolation and the outer world filled with festivities.""The City serves as a backdrop where various scenes unfold, representing the hustle of life and economic concerns.""The City symbolizes the urban setting where Scrooge\'s transformation takes place, primarily depicting the contrast between Scrooge\'s isolation and the outer world filled with festivities."', 'source_id': 'chunk-02baee20cc9463dbe08170a8e1043e32chunk-843b5b2f944c7413d9ca876e2e2f151fchunk-94bea83e7153fc2064aa382b494936a1'} +2024-10-30 06:44:50,874 - lightrag - INFO - get_node:query:MATCH (n:`SPIRIT`) RETURN n:result:chunk-e7637ff18c5ded77a68cce0a87883fadchunk-843b5b2f944c7413d9ca876e2e2f151fchunk-83ac129dc9b56f84c46760d153d68e93chunk-02baee20cc9463dbe08170a8e1043e32chunk-bb21d58d36c6306fd8810ddd51c4a971'}> +2024-10-30 06:44:51,004 - lightrag - INFO - _do_upsert:query: + MERGE (n:`SPIRIT`) + SET n += $properties + RETURN n + :result:{'entity_type': '"EVENT"', 'description': '"The Spirit refers to the Ghost of Christmas Present, which embodies the essence of the Christmas season and serves as a guide for Scrooge.""The Spirit represents a ghostly figure guiding Scrooge through reflections related to a death, illustrating lessons about life and mortality.""The Spirit represents a supernatural being guiding Scrooge through lessons about the consequences of his actions and the future.""The Spirit represents a supernatural entity guiding Scrooge and teaching him lessons about compassion and humanity."The "Spirit" represents a multifaceted supernatural entity that plays a crucial role in guiding Ebenezer Scrooge through profound reflections on his life, death, and human emotions. Central to the narrative is the Spirit\'s embodiment of the essence of Marley, which interacts with Scrooge to highlight themes related to the afterlife and unresolved issues. The Spirit manifests as various figures, most notably the Ghost of Christmas Present, who personifies the themes of generosity, merriment, and the true spirit of the Christmas season.\n\nThroughout Scrooge\'s journey, the Spirit serves as a guide, leading him through memories of his past, reflecting his former self and the influence of time on his character. The entity illustrates important lessons about compassion, social responsibility, and the consequences of his actions, urging Scrooge to confront societal issues and fostering self-awareness.\n\nThe Spirit also emphasizes the somber aspects of life, illustrating lessons about mortality and the inevitability of death, prompting Scrooge to reflect on the implications of his life choices. Overall, the Spirit encapsulates the intersection of compassion, humanity, and the moral lessons inherent in the experience of life, serving as a catalyst for Scrooge\'s transformation and awakening.', 'source_id': 'chunk-e7637ff18c5ded77a68cce0a87883fadchunk-02baee20cc9463dbe08170a8e1043e32chunk-1aa50206d02ed89418f65f97c6441d1cchunk-83ac129dc9b56f84c46760d153d68e93chunk-843b5b2f944c7413d9ca876e2e2f151fchunk-bb21d58d36c6306fd8810ddd51c4a971'} +2024-10-30 06:44:51,132 - lightrag - INFO - get_node:query:MATCH (n:`MISTLETOE`) RETURN n:result:"Mistletoe is a plant used as a Christmas decoration, symbolizing love and goodwill during the holiday season.""Mistletoe is a plant used as a Christmas decoration, symbolizing love and goodwill during the holiday season.""Mistletoe is a plant used as a Christmas decoration, symbolizing love and goodwill during the holiday season.""Mistletoe is a traditional plant used for decoration during Christmas, symbolizing joy and a festive spirit.""Mistletoe is described in the context of Christmas decorations, often used for kissing and holiday celebrations.""Mistletoe is described in the context of Christmas decorations, often used for kissing and holiday celebrations.""Mistletoe is described in the context of Christmas decorations, often used for kissing and holiday celebrations.""Mistletoe is described in the context of Christmas decorations, often used for kissing and holiday celebrations."', 'source_id': 'chunk-843b5b2f944c7413d9ca876e2e2f151fchunk-99b0ec7f7e006561352b5d65e849611d'}> +2024-10-30 06:44:51,262 - lightrag - INFO - _do_upsert:query: + MERGE (n:`MISTLETOE`) + SET n += $properties + RETURN n + :result:{'entity_type': '"ORGANIZATION"', 'description': '"Mistletoe is a plant used as a Christmas decoration, symbolizing love and goodwill during the holiday season.""Mistletoe is a plant used as a Christmas decoration, symbolizing love and goodwill during the holiday season.""Mistletoe is a plant used as a Christmas decoration, symbolizing love and goodwill during the holiday season.""Mistletoe is a plant used as a Christmas decoration, symbolizing love and goodwill during the holiday season.""Mistletoe is a plant used as a Christmas decoration, symbolizing love and goodwill during the holiday season.""Mistletoe is a traditional plant used for decoration during Christmas, symbolizing joy and a festive spirit.""Mistletoe is described in the context of Christmas decorations, often used for kissing and holiday celebrations.""Mistletoe is described in the context of Christmas decorations, often used for kissing and holiday celebrations.""Mistletoe is described in the context of Christmas decorations, often used for kissing and holiday celebrations.""Mistletoe is described in the context of Christmas decorations, often used for kissing and holiday celebrations.""Mistletoe is described in the context of Christmas decorations, often used for kissing and holiday celebrations."', 'source_id': 'chunk-99b0ec7f7e006561352b5d65e849611dchunk-843b5b2f944c7413d9ca876e2e2f151f'} +2024-10-30 06:44:51,392 - lightrag - INFO - get_node:query:MATCH (n:`RED BERRIES`) RETURN n:result:"Red Berries are decorative elements commonly used during Christmas decorations, adding color and festivity.""Red Berries are decorative elements commonly used during Christmas decorations, adding color and festivity.""Red Berries are decorative elements commonly used during Christmas decorations, adding color and festivity.""Red Berries are festive decorations representing the colors of Christmas, enhancing the holiday atmosphere.""Red Berries are festive decorations representing the colors of Christmas, enhancing the holiday atmosphere.""Red Berries are festive decorations representing the colors of Christmas, enhancing the holiday atmosphere.""Red Berries are festive decorations representing the colors of Christmas, enhancing the holiday atmosphere."', 'source_id': 'chunk-843b5b2f944c7413d9ca876e2e2f151fchunk-99b0ec7f7e006561352b5d65e849611d'}> +2024-10-30 06:44:51,522 - lightrag - INFO - _do_upsert:query: + MERGE (n:`RED BERRIES`) + SET n += $properties + RETURN n + :result:{'entity_type': '"ORGANIZATION"', 'description': '"Red Berries are decorative elements commonly used during Christmas decorations, adding color and festivity.""Red Berries are decorative elements commonly used during Christmas decorations, adding color and festivity.""Red Berries are decorative elements commonly used during Christmas decorations, adding color and festivity.""Red Berries are decorative elements commonly used during Christmas decorations, adding color and festivity.""Red Berries are decorative elements commonly used during Christmas decorations, adding color and festivity.""Red Berries are festive decorations representing the colors of Christmas, enhancing the holiday atmosphere.""Red Berries are festive decorations representing the colors of Christmas, enhancing the holiday atmosphere.""Red Berries are festive decorations representing the colors of Christmas, enhancing the holiday atmosphere.""Red Berries are festive decorations representing the colors of Christmas, enhancing the holiday atmosphere.""Red Berries are festive decorations representing the colors of Christmas, enhancing the holiday atmosphere."', 'source_id': 'chunk-99b0ec7f7e006561352b5d65e849611dchunk-843b5b2f944c7413d9ca876e2e2f151f'} +2024-10-30 06:44:51,651 - lightrag - INFO - get_node:query:MATCH (n:`TURKEYS`) RETURN n:result:"Turkeys represent a common food item associated with the Christmas feast, highlighting the culinary aspects of the celebration.""Turkeys are food items prominently featured in Christmas meals, representing a festive celebration of the holiday.""Turkeys are part of the Christmas feast, symbolizing the abundance and sharing associated with the holiday.""Turkeys are food items prominently featured in Christmas meals, representing a festive celebration of the holiday.""Turkeys are part of the Christmas feast, symbolizing the abundance and sharing associated with the holiday.""Turkeys are food items prominently featured in Christmas meals, representing a festive celebration of the holiday.""Turkeys are part of the Christmas feast, symbolizing the abundance and sharing associated with the holiday.""Turkeys are food items prominently featured in Christmas meals, representing a festive celebration of the holiday.""Turkeys are part of the Christmas feast, symbolizing the abundance and sharing associated with the holiday."', 'source_id': 'chunk-843b5b2f944c7413d9ca876e2e2f151fchunk-99b0ec7f7e006561352b5d65e849611d'}> +2024-10-30 06:44:51,786 - lightrag - INFO - _do_upsert:query: + MERGE (n:`TURKEYS`) + SET n += $properties + RETURN n + :result:{'entity_type': '"ORGANIZATION"', 'description': '"Turkeys are described as part of a lavish spread that symbolizes the abundance and joy of the Christmas season.""Turkeys represent a common food item associated with the Christmas feast, highlighting the culinary aspects of the celebration.""Turkeys are food items prominently featured in Christmas meals, representing a festive celebration of the holiday.""Turkeys are part of the Christmas feast, symbolizing the abundance and sharing associated with the holiday.""Turkeys are food items prominently featured in Christmas meals, representing a festive celebration of the holiday.""Turkeys are part of the Christmas feast, symbolizing the abundance and sharing associated with the holiday.""Turkeys are food items prominently featured in Christmas meals, representing a festive celebration of the holiday.""Turkeys are part of the Christmas feast, symbolizing the abundance and sharing associated with the holiday.""Turkeys are food items prominently featured in Christmas meals, representing a festive celebration of the holiday.""Turkeys are part of the Christmas feast, symbolizing the abundance and sharing associated with the holiday.""Turkeys are food items prominently featured in Christmas meals, representing a festive celebration of the holiday.""Turkeys are part of the Christmas feast, symbolizing the abundance and sharing associated with the holiday."', 'source_id': 'chunk-99b0ec7f7e006561352b5d65e849611dchunk-843b5b2f944c7413d9ca876e2e2f151f'} +2024-10-30 06:44:51,914 - lightrag - INFO - get_node:query:MATCH (n:`POULTRY`) RETURN n:result:"Poultry is another aspect of the Christmas feast, representing the various traditions of holiday meals.""Poultry is another aspect of the Christmas feast, representing the various traditions of holiday meals.""Poultry is another aspect of the Christmas feast, representing the various traditions of holiday meals.""Poultry refers to various birds used for Christmas meals, representing the culinary traditions of the holiday.""Poultry represents a variety of birds that are often prepared for Christmas dinners, enhancing the festive festivities.""Poultry represents a variety of birds that are often prepared for Christmas dinners, enhancing the festive festivities.""Poultry represents a variety of birds that are often prepared for Christmas dinners, enhancing the festive festivities.""Poultry represents a variety of birds that are often prepared for Christmas dinners, enhancing the festive festivities."', 'source_id': 'chunk-843b5b2f944c7413d9ca876e2e2f151fchunk-99b0ec7f7e006561352b5d65e849611d'}> +2024-10-30 06:44:52,047 - lightrag - INFO - _do_upsert:query: + MERGE (n:`POULTRY`) + SET n += $properties + RETURN n + :result:{'entity_type': '"ORGANIZATION"', 'description': '"Poultry is another aspect of the Christmas feast, representing the various traditions of holiday meals.""Poultry is another aspect of the Christmas feast, representing the various traditions of holiday meals.""Poultry is another aspect of the Christmas feast, representing the various traditions of holiday meals.""Poultry is another aspect of the Christmas feast, representing the various traditions of holiday meals.""Poultry is another aspect of the Christmas feast, representing the various traditions of holiday meals.""Poultry refers to various birds used for Christmas meals, representing the culinary traditions of the holiday.""Poultry represents a variety of birds that are often prepared for Christmas dinners, enhancing the festive festivities.""Poultry represents a variety of birds that are often prepared for Christmas dinners, enhancing the festive festivities.""Poultry represents a variety of birds that are often prepared for Christmas dinners, enhancing the festive festivities.""Poultry represents a variety of birds that are often prepared for Christmas dinners, enhancing the festive festivities.""Poultry represents a variety of birds that are often prepared for Christmas dinners, enhancing the festive festivities."', 'source_id': 'chunk-99b0ec7f7e006561352b5d65e849611dchunk-843b5b2f944c7413d9ca876e2e2f151f'} +2024-10-30 06:44:52,172 - lightrag - INFO - get_node:query:MATCH (n:`MEAT`) RETURN n:result:"Meat refers to a significant part of the Christmas feast, further emphasizing the theme of abundance during the holiday.""Meat refers to a significant part of the Christmas feast, further emphasizing the theme of abundance during the holiday.""Meat refers to a significant part of the Christmas feast, further emphasizing the theme of abundance during the holiday.""Meat serves as a general representation of the food consumed during Christmas celebrations, contributing to the holiday meals.""Meat serves as a general representation of the food consumed during Christmas celebrations, contributing to the holiday meals.""Meat serves as a general representation of the food consumed during Christmas celebrations, contributing to the holiday meals.""Meat serves as a general representation of the food consumed during Christmas celebrations, contributing to the holiday meals."', 'source_id': 'chunk-843b5b2f944c7413d9ca876e2e2f151fchunk-99b0ec7f7e006561352b5d65e849611d'}> +2024-10-30 06:44:52,304 - lightrag - INFO - _do_upsert:query: + MERGE (n:`MEAT`) + SET n += $properties + RETURN n + :result:{'entity_type': '"ORGANIZATION"', 'description': '"Meat refers to a significant part of the Christmas feast, further emphasizing the theme of abundance during the holiday.""Meat refers to a significant part of the Christmas feast, further emphasizing the theme of abundance during the holiday.""Meat refers to a significant part of the Christmas feast, further emphasizing the theme of abundance during the holiday.""Meat refers to a significant part of the Christmas feast, further emphasizing the theme of abundance during the holiday.""Meat refers to a significant part of the Christmas feast, further emphasizing the theme of abundance during the holiday.""Meat serves as a general representation of the food consumed during Christmas celebrations, contributing to the holiday meals.""Meat serves as a general representation of the food consumed during Christmas celebrations, contributing to the holiday meals.""Meat serves as a general representation of the food consumed during Christmas celebrations, contributing to the holiday meals.""Meat serves as a general representation of the food consumed during Christmas celebrations, contributing to the holiday meals.""Meat serves as a general representation of the food consumed during Christmas celebrations, contributing to the holiday meals."', 'source_id': 'chunk-99b0ec7f7e006561352b5d65e849611dchunk-843b5b2f944c7413d9ca876e2e2f151f'} +2024-10-30 06:44:52,433 - lightrag - INFO - get_node:query:MATCH (n:`SAUSAGES`) RETURN n:result:"Sausages are festive foods that complement the traditional Christmas meal, adding to the variety of the feast.""Sausages are festive foods that complement the traditional Christmas meal, adding to the variety of the feast.""Sausages are festive foods that complement the traditional Christmas meal, adding to the variety of the feast.""Sausages are food items mentioned that may be served during Christmas festivities, adding to the variety of traditional foods.""Sausages contribute to the rich variety of foods present at the celebration, reflecting festive abundance.""Sausages are food items mentioned that may be served during Christmas festivities, adding to the variety of traditional foods.""Sausages are food items mentioned that may be served during Christmas festivities, adding to the variety of traditional foods.""Sausages are food items mentioned that may be served during Christmas festivities, adding to the variety of traditional foods."', 'source_id': 'chunk-843b5b2f944c7413d9ca876e2e2f151fchunk-99b0ec7f7e006561352b5d65e849611d'}> +2024-10-30 06:44:52,566 - lightrag - INFO - _do_upsert:query: + MERGE (n:`SAUSAGES`) + SET n += $properties + RETURN n + :result:{'entity_type': '"ORGANIZATION"', 'description': '"Sausages are festive foods that complement the traditional Christmas meal, adding to the variety of the feast.""Sausages are festive foods that complement the traditional Christmas meal, adding to the variety of the feast.""Sausages are festive foods that complement the traditional Christmas meal, adding to the variety of the feast.""Sausages are festive foods that complement the traditional Christmas meal, adding to the variety of the feast.""Sausages are festive foods that complement the traditional Christmas meal, adding to the variety of the feast.""Sausages are food items mentioned that may be served during Christmas festivities, adding to the variety of traditional foods.""Sausages contribute to the rich variety of foods present at the celebration, reflecting festive abundance.""Sausages are food items mentioned that may be served during Christmas festivities, adding to the variety of traditional foods.""Sausages are food items mentioned that may be served during Christmas festivities, adding to the variety of traditional foods.""Sausages are food items mentioned that may be served during Christmas festivities, adding to the variety of traditional foods.""Sausages are food items mentioned that may be served during Christmas festivities, adding to the variety of traditional foods."', 'source_id': 'chunk-99b0ec7f7e006561352b5d65e849611dchunk-843b5b2f944c7413d9ca876e2e2f151f'} +2024-10-30 06:44:52,696 - lightrag - INFO - get_node:query:MATCH (n:`OYSTERS`) RETURN n:result:"Oysters are considered delicacies that can enhance special occasions such as Christmas, indicating celebratory dining.""Oysters are considered delicacies that can enhance special occasions such as Christmas, indicating celebratory dining.""Oysters are considered delicacies that can enhance special occasions such as Christmas, indicating celebratory dining.""Oysters represent a delicacy often served during Christmas, symbolizing luxury and celebration.""Oysters represent a delicacy often served during Christmas, symbolizing luxury and celebration.""Oysters represent a delicacy often served during Christmas, symbolizing luxury and celebration.""Oysters represent a delicacy often served during Christmas, symbolizing luxury and celebration."', 'source_id': 'chunk-843b5b2f944c7413d9ca876e2e2f151fchunk-99b0ec7f7e006561352b5d65e849611d'}> +2024-10-30 06:44:52,824 - lightrag - INFO - _do_upsert:query: + MERGE (n:`OYSTERS`) + SET n += $properties + RETURN n + :result:{'entity_type': '"ORGANIZATION"', 'description': '"Oysters are considered delicacies that can enhance special occasions such as Christmas, indicating celebratory dining.""Oysters are considered delicacies that can enhance special occasions such as Christmas, indicating celebratory dining.""Oysters are considered delicacies that can enhance special occasions such as Christmas, indicating celebratory dining.""Oysters are considered delicacies that can enhance special occasions such as Christmas, indicating celebratory dining.""Oysters are considered delicacies that can enhance special occasions such as Christmas, indicating celebratory dining.""Oysters represent a delicacy often served during Christmas, symbolizing luxury and celebration.""Oysters represent a delicacy often served during Christmas, symbolizing luxury and celebration.""Oysters represent a delicacy often served during Christmas, symbolizing luxury and celebration.""Oysters represent a delicacy often served during Christmas, symbolizing luxury and celebration.""Oysters represent a delicacy often served during Christmas, symbolizing luxury and celebration."', 'source_id': 'chunk-99b0ec7f7e006561352b5d65e849611dchunk-843b5b2f944c7413d9ca876e2e2f151f'} +2024-10-30 06:44:52,951 - lightrag - INFO - get_node:query:MATCH (n:`PIES`) RETURN n:result:"Pies are a traditional dessert during the Christmas season, embodying the spirit of sharing and celebration.""Pies are a traditional dessert during the Christmas season, embodying the spirit of sharing and celebration.""Pies are a traditional dessert during the Christmas season, embodying the spirit of sharing and celebration.""Pies, often sweet, are traditional desserts served during Christmas, symbolizing festive dessert offerings.""Pies, often sweet, are traditional desserts served during Christmas, symbolizing festive dessert offerings.""Pies, often sweet, are traditional desserts served during Christmas, symbolizing festive dessert offerings.""Pies, often sweet, are traditional desserts served during Christmas, symbolizing festive dessert offerings."', 'source_id': 'chunk-843b5b2f944c7413d9ca876e2e2f151fchunk-99b0ec7f7e006561352b5d65e849611d'}> +2024-10-30 06:44:53,079 - lightrag - INFO - _do_upsert:query: + MERGE (n:`PIES`) + SET n += $properties + RETURN n + :result:{'entity_type': '"ORGANIZATION"', 'description': '"Pies are a traditional dessert during the Christmas season, embodying the spirit of sharing and celebration.""Pies are a traditional dessert during the Christmas season, embodying the spirit of sharing and celebration.""Pies are a traditional dessert during the Christmas season, embodying the spirit of sharing and celebration.""Pies are a traditional dessert during the Christmas season, embodying the spirit of sharing and celebration.""Pies are a traditional dessert during the Christmas season, embodying the spirit of sharing and celebration.""Pies, often sweet, are traditional desserts served during Christmas, symbolizing festive dessert offerings.""Pies, often sweet, are traditional desserts served during Christmas, symbolizing festive dessert offerings.""Pies, often sweet, are traditional desserts served during Christmas, symbolizing festive dessert offerings.""Pies, often sweet, are traditional desserts served during Christmas, symbolizing festive dessert offerings.""Pies, often sweet, are traditional desserts served during Christmas, symbolizing festive dessert offerings."', 'source_id': 'chunk-99b0ec7f7e006561352b5d65e849611dchunk-843b5b2f944c7413d9ca876e2e2f151f'} +2024-10-30 06:44:53,204 - lightrag - INFO - get_node:query:MATCH (n:`PUDDINGS`) RETURN n:result:"Puddings are a classic Christmas dessert, symbolizing warmth and indulgence during the holiday.""Puddings are a classic Christmas dessert, symbolizing warmth and indulgence during the holiday.""Puddings are a classic Christmas dessert, symbolizing warmth and indulgence during the holiday.""Puddings are showcased as a traditional dessert during Christmas celebrations, central to holiday meals.""Puddings are showcased as a traditional dessert during Christmas celebrations, central to holiday meals.""Puddings are showcased as a traditional dessert during Christmas celebrations, central to holiday meals.""Puddings are showcased as a traditional dessert during Christmas celebrations, central to holiday meals."', 'source_id': 'chunk-843b5b2f944c7413d9ca876e2e2f151fchunk-99b0ec7f7e006561352b5d65e849611d'}> +2024-10-30 06:44:53,340 - lightrag - INFO - _do_upsert:query: + MERGE (n:`PUDDINGS`) + SET n += $properties + RETURN n + :result:{'entity_type': '"ORGANIZATION"', 'description': '"Puddings are a classic Christmas dessert, symbolizing warmth and indulgence during the holiday.""Puddings are a classic Christmas dessert, symbolizing warmth and indulgence during the holiday.""Puddings are a classic Christmas dessert, symbolizing warmth and indulgence during the holiday.""Puddings are a classic Christmas dessert, symbolizing warmth and indulgence during the holiday.""Puddings are a classic Christmas dessert, symbolizing warmth and indulgence during the holiday.""Puddings are showcased as a traditional dessert during Christmas celebrations, central to holiday meals.""Puddings are showcased as a traditional dessert during Christmas celebrations, central to holiday meals.""Puddings are showcased as a traditional dessert during Christmas celebrations, central to holiday meals.""Puddings are showcased as a traditional dessert during Christmas celebrations, central to holiday meals.""Puddings are showcased as a traditional dessert during Christmas celebrations, central to holiday meals."', 'source_id': 'chunk-99b0ec7f7e006561352b5d65e849611dchunk-843b5b2f944c7413d9ca876e2e2f151f'} +2024-10-30 06:44:53,469 - lightrag - INFO - get_node:query:MATCH (n:`FRUIT`) RETURN n:result:"Fruit represents a staple part of the Christmas spread, emphasizing freshness and the joy of sharing.""Fruit represents a staple part of the Christmas spread, emphasizing freshness and the joy of sharing.""Fruit represents a staple part of the Christmas spread, emphasizing freshness and the joy of sharing.""Fruit represents the fresh produce that accompanies holiday meals, bringing color and variety to the Christmas table.""Fruit represents the fresh produce that accompanies holiday meals, bringing color and variety to the Christmas table.""Fruit represents the fresh produce that accompanies holiday meals, bringing color and variety to the Christmas table.""Fruit represents the fresh produce that accompanies holiday meals, bringing color and variety to the Christmas table."', 'source_id': 'chunk-843b5b2f944c7413d9ca876e2e2f151fchunk-99b0ec7f7e006561352b5d65e849611d'}> +2024-10-30 06:44:53,598 - lightrag - INFO - _do_upsert:query: + MERGE (n:`FRUIT`) + SET n += $properties + RETURN n + :result:{'entity_type': '"ORGANIZATION"', 'description': '"Fruit represents a staple part of the Christmas spread, emphasizing freshness and the joy of sharing.""Fruit represents a staple part of the Christmas spread, emphasizing freshness and the joy of sharing.""Fruit represents a staple part of the Christmas spread, emphasizing freshness and the joy of sharing.""Fruit represents a staple part of the Christmas spread, emphasizing freshness and the joy of sharing.""Fruit represents a staple part of the Christmas spread, emphasizing freshness and the joy of sharing.""Fruit represents the fresh produce that accompanies holiday meals, bringing color and variety to the Christmas table.""Fruit represents the fresh produce that accompanies holiday meals, bringing color and variety to the Christmas table.""Fruit represents the fresh produce that accompanies holiday meals, bringing color and variety to the Christmas table.""Fruit represents the fresh produce that accompanies holiday meals, bringing color and variety to the Christmas table.""Fruit represents the fresh produce that accompanies holiday meals, bringing color and variety to the Christmas table."', 'source_id': 'chunk-99b0ec7f7e006561352b5d65e849611dchunk-843b5b2f944c7413d9ca876e2e2f151f'} +2024-10-30 06:44:53,727 - lightrag - INFO - get_node:query:MATCH (n:`PUNCH`) RETURN n:result:"Punch is a festive beverage that is often served during Christmas celebrations, adding to the holiday spirit.""Punch is a festive beverage that is often served during Christmas celebrations, adding to the holiday spirit.""Punch is a festive beverage that is often served during Christmas celebrations, adding to the holiday spirit.""Punch refers to a festive drink that is often served at Christmas gatherings, contributing to the celebration.""Punch refers to a festive drink that is often served at Christmas gatherings, contributing to the celebration.""Punch refers to a festive drink that is often served at Christmas gatherings, contributing to the celebration.""Punch refers to a festive drink that is often served at Christmas gatherings, contributing to the celebration."', 'source_id': 'chunk-843b5b2f944c7413d9ca876e2e2f151fchunk-99b0ec7f7e006561352b5d65e849611d'}> +2024-10-30 06:44:53,859 - lightrag - INFO - _do_upsert:query: + MERGE (n:`PUNCH`) + SET n += $properties + RETURN n + :result:{'entity_type': '"ORGANIZATION"', 'description': '"Punch is a festive beverage that is often served during Christmas celebrations, adding to the holiday spirit.""Punch is a festive beverage that is often served during Christmas celebrations, adding to the holiday spirit.""Punch is a festive beverage that is often served during Christmas celebrations, adding to the holiday spirit.""Punch is a festive beverage that is often served during Christmas celebrations, adding to the holiday spirit.""Punch is a festive beverage that is often served during Christmas celebrations, adding to the holiday spirit.""Punch refers to a festive drink that is often served at Christmas gatherings, contributing to the celebration.""Punch refers to a festive drink that is often served at Christmas gatherings, contributing to the celebration.""Punch refers to a festive drink that is often served at Christmas gatherings, contributing to the celebration.""Punch refers to a festive drink that is often served at Christmas gatherings, contributing to the celebration.""Punch refers to a festive drink that is often served at Christmas gatherings, contributing to the celebration."', 'source_id': 'chunk-99b0ec7f7e006561352b5d65e849611dchunk-843b5b2f944c7413d9ca876e2e2f151f'} +2024-10-30 06:44:53,987 - lightrag - INFO - get_node:query:MATCH (n:`ANTIQUE SCABBARD`) RETURN n:result: +2024-10-30 06:44:54,118 - lightrag - INFO - _do_upsert:query: + MERGE (n:`ANTIQUE SCABBARD`) + SET n += $properties + RETURN n + :result:{'entity_type': '"ORGANIZATION"', 'description': '"The Antique Scabbard is a symbolic object seen on the Ghost, representing the notion of protection and history."', 'source_id': 'chunk-843b5b2f944c7413d9ca876e2e2f151f'} +2024-10-30 06:44:54,242 - lightrag - INFO - get_node:query:MATCH (n:`GREAT BRITAIN`) RETURN n:result:"Great Britain is a location mentioned as having chimneys that appear to be catching fire and is the setting for a gloomy climate during Christmas time.""Great Britain is a location mentioned as having chimneys that appear to be catching fire and is the setting for a gloomy climate during Christmas time.""Great Britain is a location mentioned as having chimneys that appear to be catching fire and is the setting for a gloomy climate during Christmas time.""Great Britain is referenced as a location suffering from severe weather, which contrasts with the cheerful activities of its people during Christmas."', 'source_id': 'chunk-99b0ec7f7e006561352b5d65e849611d'}> +2024-10-30 06:44:54,378 - lightrag - INFO - _do_upsert:query: + MERGE (n:`GREAT BRITAIN`) + SET n += $properties + RETURN n + :result:{'entity_type': '"GEO"', 'description': '"Great Britain is a location mentioned as having chimneys that appear to be catching fire and is the setting for a gloomy climate during Christmas time.""Great Britain is a location mentioned as having chimneys that appear to be catching fire and is the setting for a gloomy climate during Christmas time.""Great Britain is a location mentioned as having chimneys that appear to be catching fire and is the setting for a gloomy climate during Christmas time.""Great Britain is a location mentioned as having chimneys that appear to be catching fire and is the setting for a gloomy climate during Christmas time.""Great Britain is a location mentioned as having chimneys that appear to be catching fire and is the setting for a gloomy climate during Christmas time.""Great Britain is referenced as a location suffering from severe weather, which contrasts with the cheerful activities of its people during Christmas."', 'source_id': 'chunk-99b0ec7f7e006561352b5d65e849611d'} +2024-10-30 06:44:54,514 - lightrag - INFO - get_node:query:MATCH (n:`GROCERS'`) RETURN n:result: +2024-10-30 06:44:54,642 - lightrag - INFO - _do_upsert:query: + MERGE (n:`GROCERS'`) + SET n += $properties + RETURN n + :result:{'entity_type': '"ORGANIZATION"', 'description': '"Grocers\' is an organization described as nearly closed yet bustling with eager customers, showcasing a variety of goods typical for Christmas time."', 'source_id': 'chunk-99b0ec7f7e006561352b5d65e849611d'} +2024-10-30 06:44:54,768 - lightrag - INFO - get_node:query:MATCH (n:`PEOPLE`) RETURN n:result: +2024-10-30 06:44:54,905 - lightrag - INFO - _do_upsert:query: + MERGE (n:`PEOPLE`) + SET n += $properties + RETURN n + :result:{'entity_type': '"ORGANIZATION"', 'description': '"The People represent the community celebrating Christmas, exhibiting joy, humor, and eagerness amidst the dreary weather."', 'source_id': 'chunk-99b0ec7f7e006561352b5d65e849611d'} +2024-10-30 06:44:55,034 - lightrag - INFO - get_node:query:MATCH (n:`GEESE`) RETURN n:result:"Geese are also traditional food items that may be included in Christmas feasts, adding to the holiday cheer.""Geese are also traditional food items that may be included in Christmas feasts, adding to the holiday cheer.""Geese are also traditional food items that may be included in Christmas feasts, adding to the holiday cheer.""Geese are another traditional food item during Christmas, contributing to the festive dining experiences.""Geese are included in the festive feast, representing the bounty and celebration associated with Christmas."', 'source_id': 'chunk-843b5b2f944c7413d9ca876e2e2f151fchunk-99b0ec7f7e006561352b5d65e849611d'}> +2024-10-30 06:44:55,170 - lightrag - INFO - _do_upsert:query: + MERGE (n:`GEESE`) + SET n += $properties + RETURN n + :result:{'entity_type': '"ORGANIZATION"', 'description': '"Geese are also traditional food items that may be included in Christmas feasts, adding to the holiday cheer.""Geese are also traditional food items that may be included in Christmas feasts, adding to the holiday cheer.""Geese are also traditional food items that may be included in Christmas feasts, adding to the holiday cheer.""Geese are also traditional food items that may be included in Christmas feasts, adding to the holiday cheer.""Geese are also traditional food items that may be included in Christmas feasts, adding to the holiday cheer.""Geese are another traditional food item during Christmas, contributing to the festive dining experiences.""Geese are included in the festive feast, representing the bounty and celebration associated with Christmas."', 'source_id': 'chunk-99b0ec7f7e006561352b5d65e849611dchunk-843b5b2f944c7413d9ca876e2e2f151f'} +2024-10-30 06:44:55,296 - lightrag - INFO - get_node:query:MATCH (n:`BRAWN`) RETURN n:result:"Brawn refers to a traditional meat dish that may be part of Christmas festivities, highlighting culinary practices of the season.""Brawn refers to a traditional meat dish that may be part of Christmas festivities, highlighting culinary practices of the season.""Brawn refers to a traditional meat dish that may be part of Christmas festivities, highlighting culinary practices of the season.""Brawn refers to a traditional meat dish that may be part of Christmas festivities, highlighting culinary practices of the season."', 'source_id': 'chunk-843b5b2f944c7413d9ca876e2e2f151fchunk-99b0ec7f7e006561352b5d65e849611d'}> +2024-10-30 06:44:55,430 - lightrag - INFO - _do_upsert:query: + MERGE (n:`BRAWN`) + SET n += $properties + RETURN n + :result:{'entity_type': '"ORGANIZATION"', 'description': '"Brawn is a type of meat included in the festive gathering, representing the richness of the Christmas feast.""Brawn refers to a traditional meat dish that may be part of Christmas festivities, highlighting culinary practices of the season.""Brawn refers to a traditional meat dish that may be part of Christmas festivities, highlighting culinary practices of the season.""Brawn refers to a traditional meat dish that may be part of Christmas festivities, highlighting culinary practices of the season.""Brawn refers to a traditional meat dish that may be part of Christmas festivities, highlighting culinary practices of the season.""Brawn refers to a traditional meat dish that may be part of Christmas festivities, highlighting culinary practices of the season."', 'source_id': 'chunk-99b0ec7f7e006561352b5d65e849611dchunk-843b5b2f944c7413d9ca876e2e2f151f'} +2024-10-30 06:44:55,558 - lightrag - INFO - get_node:query:MATCH (n:`CITY STREETS`) RETURN n:result: +2024-10-30 06:44:55,688 - lightrag - INFO - _do_upsert:query: + MERGE (n:`CITY STREETS`) + SET n += $properties + RETURN n + :result:{'entity_type': '"GEO"', 'description': '"City Streets are referenced as the setting where people are celebrating and making music, contributing to the festive atmosphere of Christmas morning."', 'source_id': 'chunk-99b0ec7f7e006561352b5d65e849611d'} +2024-10-30 06:44:55,815 - lightrag - INFO - get_node:query:MATCH (n:`SNOW`) RETURN n:result: +2024-10-30 06:44:55,966 - lightrag - INFO - _do_upsert:query: + MERGE (n:`SNOW`) + SET n += $properties + RETURN n + :result:{'entity_type': '"GEO"', 'description': '"Snow is a significant element of the Christmas setting, emphasizing the winter atmosphere and contributing to the imagery of the holiday."', 'source_id': 'chunk-99b0ec7f7e006561352b5d65e849611d'} +2024-10-30 06:44:56,092 - lightrag - INFO - get_node:query:MATCH (n:`PARAPETS`) RETURN n:result: +2024-10-30 06:44:56,221 - lightrag - INFO - _do_upsert:query: + MERGE (n:`PARAPETS`) + SET n += $properties + RETURN n + :result:{'entity_type': '"GEO"', 'description': '"Parapets are structures that people use to engage in playful activities, such as throwing snowballs during Christmas celebrations."', 'source_id': 'chunk-99b0ec7f7e006561352b5d65e849611d'} +2024-10-30 06:44:56,350 - lightrag - INFO - get_node:query:MATCH (n:`SPIRIT OF CHRISTMAS PRESENT`) RETURN n:result: +2024-10-30 06:44:56,482 - lightrag - INFO - _do_upsert:query: + MERGE (n:`SPIRIT OF CHRISTMAS PRESENT`) + SET n += $properties + RETURN n + :result:{'entity_type': '"PERSON"', 'description': '"The Spirit of Christmas Present embodies the spirit of generosity and compassion, showing Scrooge scenes of joy and festivity among the poor."', 'source_id': 'chunk-b0f459f5af1c3a5e0b92cbe4ee48b77b'} +2024-10-30 06:44:56,607 - lightrag - INFO - get_node:query:MATCH (n:`PETER CRATCHIT`) RETURN n:result:chunk-b0f459f5af1c3a5e0b92cbe4ee48b77bchunk-19d72c57ae3408758b18d2568e86dc6bchunk-91572b3cd42786ba4cb2f180ca25cbf4'}> +2024-10-30 06:44:56,738 - lightrag - INFO - _do_upsert:query: + MERGE (n:`PETER CRATCHIT`) + SET n += $properties + RETURN n + :result:{'entity_type': '"PERSON"', 'description': '"Peter Cratchit is Bob\'s son, excited about his clothing and preparing a festive meal, symbolizing youthful innocence and hope.""Peter Cratchit is one of Bob Cratchit\'s children, involved in family dynamics and interactions surrounding Tiny Tim.""Peter Cratchit is one of the Cratchit children, shown to be active and enthusiastic during the Christmas celebration.""Peter Cratchit is the eldest son of Bob and Mrs. Cratchit, who is portrayed as contemplative about his future as he considers a potential job opportunity."Peter Cratchit is the eldest son of Bob and Mrs. Cratchit, characterized by his youthful innocence and enthusiasm. He actively participates in the festive meal preparation, expressing excitement about dressing up and contributing to the family\'s Christmas celebration. As a member of the Cratchit family, Peter embodies the joy and unity of the household, particularly highlighted during their interactions surrounding Tiny Tim, his ailing younger brother. Additionally, Peter is portrayed as contemplative regarding his future, considering a potential job opportunity. This combination of excitement for the present and reflection on the future underscores his dynamic role within the family, illustrating the themes of hope and resilience amidst their challenges.', 'source_id': 'chunk-91572b3cd42786ba4cb2f180ca25cbf4chunk-19d72c57ae3408758b18d2568e86dc6bchunk-7e2e7ebcc19a53b399dc03aded4743e7chunk-b0f459f5af1c3a5e0b92cbe4ee48b77b'} +2024-10-30 06:44:56,888 - lightrag - INFO - get_node:query:MATCH (n:`THE CRATCHIT HOUSEHOLD`) RETURN n:result: +2024-10-30 06:44:57,017 - lightrag - INFO - _do_upsert:query: + MERGE (n:`THE CRATCHIT HOUSEHOLD`) + SET n += $properties + RETURN n + :result:{'entity_type': '"ORGANIZATION"', 'description': '"The Cratchit Household represents a loving family unit, managing to find joy despite their financial struggles."', 'source_id': 'chunk-b0f459f5af1c3a5e0b92cbe4ee48b77b'} +2024-10-30 06:44:57,143 - lightrag - INFO - get_node:query:MATCH (n:`CHRISTMAS DAY`) RETURN n:result:"Christmas Day is a significant holiday that marks the time of Scrooge\'s revelation and intent to change.""Christmas Day is celebrated by the Cratchit family with a communal meal and expressions of joy and togetherness, highlighting the importance of family and gratitude.""Christmas Day serves as the central event around which the family gathers and reflects on their feelings towards Scrooge.""Christmas Day is portrayed as a day of celebration and gathering, emphasizing themes of togetherness and generosity.""Christmas Day serves as a central event for the gathering of the Cratchit family, filled with mixed feelings about their employer, Scrooge.""Christmas Day serves as the backdrop for Scrooge\'s transformation, representing joy, celebration, and new beginnings.""Christmas Day is portrayed as a day of celebration and gathering, emphasizing themes of togetherness and generosity.""Christmas Day serves as a central event for the gathering of the Cratchit family, filled with mixed feelings about their employer, Scrooge.""Christmas Day serves as the backdrop for Scrooge\'s transformation, representing joy, celebration, and new beginnings.""Christmas Day is portrayed as a day of celebration and gathering, emphasizing themes of togetherness and generosity.""Christmas Day serves as a central event for the gathering of the Cratchit family, filled with mixed feelings about their employer, Scrooge.""Christmas Day serves as the backdrop for Scrooge\'s transformation, representing joy, celebration, and new beginnings.""Christmas Day is portrayed as a day of celebration and gathering, emphasizing themes of togetherness and generosity.""Christmas Day serves as a central event for the gathering of the Cratchit family, filled with mixed feelings about their employer, Scrooge.""Christmas Day serves as the backdrop for Scrooge\'s transformation, representing joy, celebration, and new beginnings."', 'source_id': 'chunk-7e2e7ebcc19a53b399dc03aded4743e7chunk-b0f459f5af1c3a5e0b92cbe4ee48b77bchunk-19d72c57ae3408758b18d2568e86dc6bchunk-90b95db5c53e4364a6bee36b7aa4d70f'}> +2024-10-30 06:44:57,280 - lightrag - INFO - _do_upsert:query: + MERGE (n:`CHRISTMAS DAY`) + SET n += $properties + RETURN n + :result:{'entity_type': '"EVENT"', 'description': '"Christmas Day is a holiday during which the characters express joy and the significance of communal dining.""Christmas Day is a significant holiday that marks the time of Scrooge\'s revelation and intent to change.""Christmas Day is celebrated by the Cratchit family with a communal meal and expressions of joy and togetherness, highlighting the importance of family and gratitude.""Christmas Day serves as the central event around which the family gathers and reflects on their feelings towards Scrooge.""Christmas Day is portrayed as a day of celebration and gathering, emphasizing themes of togetherness and generosity.""Christmas Day serves as a central event for the gathering of the Cratchit family, filled with mixed feelings about their employer, Scrooge.""Christmas Day serves as the backdrop for Scrooge\'s transformation, representing joy, celebration, and new beginnings.""Christmas Day is portrayed as a day of celebration and gathering, emphasizing themes of togetherness and generosity.""Christmas Day serves as a central event for the gathering of the Cratchit family, filled with mixed feelings about their employer, Scrooge.""Christmas Day serves as the backdrop for Scrooge\'s transformation, representing joy, celebration, and new beginnings.""Christmas Day is portrayed as a day of celebration and gathering, emphasizing themes of togetherness and generosity.""Christmas Day serves as a central event for the gathering of the Cratchit family, filled with mixed feelings about their employer, Scrooge.""Christmas Day serves as the backdrop for Scrooge\'s transformation, representing joy, celebration, and new beginnings.""Christmas Day is portrayed as a day of celebration and gathering, emphasizing themes of togetherness and generosity.""Christmas Day serves as a central event for the gathering of the Cratchit family, filled with mixed feelings about their employer, Scrooge.""Christmas Day serves as the backdrop for Scrooge\'s transformation, representing joy, celebration, and new beginnings.""Christmas Day is portrayed as a day of celebration and gathering, emphasizing themes of togetherness and generosity.""Christmas Day serves as a central event for the gathering of the Cratchit family, filled with mixed feelings about their employer, Scrooge.""Christmas Day serves as the backdrop for Scrooge\'s transformation, representing joy, celebration, and new beginnings."', 'source_id': 'chunk-19d72c57ae3408758b18d2568e86dc6bchunk-90b95db5c53e4364a6bee36b7aa4d70fchunk-7e2e7ebcc19a53b399dc03aded4743e7chunk-b0f459f5af1c3a5e0b92cbe4ee48b77b'} +2024-10-30 06:44:57,411 - lightrag - INFO - get_node:query:MATCH (n:`THE GROCER`) RETURN n:result: +2024-10-30 06:44:57,544 - lightrag - INFO - _do_upsert:query: + MERGE (n:`THE GROCER`) + SET n += $properties + RETURN n + :result:{'entity_type': '"PERSON"', 'description': '"The Grocer is depicted as a welcoming figure who interacts with customers in a friendly manner, symbolizing community spirit."', 'source_id': 'chunk-b0f459f5af1c3a5e0b92cbe4ee48b77b'} +2024-10-30 06:44:57,672 - lightrag - INFO - get_node:query:MATCH (n:`THE PEOPLE`) RETURN n:result:"The People refer to the townsfolk whom Scrooge encounters, showcasing the communal spirit of Christmas.""The People refer to the townsfolk whom Scrooge encounters, showcasing the communal spirit of Christmas.""The People refer to the townsfolk whom Scrooge encounters, showcasing the communal spirit of Christmas.""The People refers to the inhabitants of the quarter, characterized by their desperate living conditions and societal challenges.""The People represent the townsfolk who come together in celebration during the Christmas season, highlighting communal joy and participation.""The People represent the various individuals Scrooge encounters during his joyful walk, symbolizing community and shared happiness.""The People refers to the inhabitants of the quarter, characterized by their desperate living conditions and societal challenges.""The People represent the townsfolk who come together in celebration during the Christmas season, highlighting communal joy and participation.""The People refers to the inhabitants of the quarter, characterized by their desperate living conditions and societal challenges.""The People represent the townsfolk who come together in celebration during the Christmas season, highlighting communal joy and participation.""The People refers to the inhabitants of the quarter, characterized by their desperate living conditions and societal challenges.""The People represent the townsfolk who come together in celebration during the Christmas season, highlighting communal joy and participation."', 'source_id': 'chunk-f1a4fbcf1ed86864b9bfd5e8dba4c683chunk-b0f459f5af1c3a5e0b92cbe4ee48b77bchunk-8f738cb25d60a7dab782162d9d0a25ed'}> +2024-10-30 06:44:57,807 - lightrag - INFO - _do_upsert:query: + MERGE (n:`THE PEOPLE`) + SET n += $properties + RETURN n + :result:{'entity_type': '"ORGANIZATION"', 'description': '"The People refer to the townsfolk whom Scrooge encounters, showcasing the communal spirit of Christmas.""The People refer to the townsfolk whom Scrooge encounters, showcasing the communal spirit of Christmas.""The People refer to the townsfolk whom Scrooge encounters, showcasing the communal spirit of Christmas.""The People refer to the townsfolk whom Scrooge encounters, showcasing the communal spirit of Christmas.""The People refer to the townsfolk whom Scrooge encounters, showcasing the communal spirit of Christmas.""The People refers to the inhabitants of the quarter, characterized by their desperate living conditions and societal challenges.""The People represent the townsfolk who come together in celebration during the Christmas season, highlighting communal joy and participation.""The People represent the various individuals Scrooge encounters during his joyful walk, symbolizing community and shared happiness.""The People refers to the inhabitants of the quarter, characterized by their desperate living conditions and societal challenges.""The People represent the townsfolk who come together in celebration during the Christmas season, highlighting communal joy and participation.""The People refers to the inhabitants of the quarter, characterized by their desperate living conditions and societal challenges.""The People represent the townsfolk who come together in celebration during the Christmas season, highlighting communal joy and participation.""The People refers to the inhabitants of the quarter, characterized by their desperate living conditions and societal challenges.""The People represent the townsfolk who come together in celebration during the Christmas season, highlighting communal joy and participation.""The People refers to the inhabitants of the quarter, characterized by their desperate living conditions and societal challenges.""The People represent the townsfolk who come together in celebration during the Christmas season, highlighting communal joy and participation."', 'source_id': 'chunk-f1a4fbcf1ed86864b9bfd5e8dba4c683chunk-8f738cb25d60a7dab782162d9d0a25edchunk-b0f459f5af1c3a5e0b92cbe4ee48b77b'} +2024-10-30 06:44:57,971 - lightrag - INFO - get_node:query:MATCH (n:`THE SPIRIT'S TORCH`) RETURN n:result:"The Spirit\'s Torch is a unique tool used by the Spirit of Christmas Present to sprinkle blessings and create goodwill among people.""The Spirit\'s Torch is a unique tool used by the Spirit of Christmas Present to sprinkle blessings and create goodwill among people.""The Spirit\'s Torch is a unique tool used by the Spirit of Christmas Present to sprinkle blessings and create goodwill among people.""The Spirit\'s Torch symbolizes the joy and magic of the Christmas spirit, illuminating the family\'s happiness despite their hardships.""The Spirit\'s Torch symbolizes the joy and magic of the Christmas spirit, illuminating the family\'s happiness despite their hardships.""The Spirit\'s Torch symbolizes the joy and magic of the Christmas spirit, illuminating the family\'s happiness despite their hardships.""The Spirit\'s Torch symbolizes the joy and magic of the Christmas spirit, illuminating the family\'s happiness despite their hardships."', 'source_id': 'chunk-b0f459f5af1c3a5e0b92cbe4ee48b77bchunk-19d72c57ae3408758b18d2568e86dc6b'}> +2024-10-30 06:44:58,100 - lightrag - INFO - _do_upsert:query: + MERGE (n:`THE SPIRIT'S TORCH`) + SET n += $properties + RETURN n + :result:{'entity_type': '"TECHNOLOGY"', 'description': '"The Spirit\'s Torch is a unique tool used by the Spirit of Christmas Present to sprinkle blessings and create goodwill among people.""The Spirit\'s Torch is a unique tool used by the Spirit of Christmas Present to sprinkle blessings and create goodwill among people.""The Spirit\'s Torch is a unique tool used by the Spirit of Christmas Present to sprinkle blessings and create goodwill among people.""The Spirit\'s Torch is a unique tool used by the Spirit of Christmas Present to sprinkle blessings and create goodwill among people.""The Spirit\'s Torch is a unique tool used by the Spirit of Christmas Present to sprinkle blessings and create goodwill among people.""The Spirit\'s Torch symbolizes the joy and magic of the Christmas spirit, illuminating the family\'s happiness despite their hardships.""The Spirit\'s Torch symbolizes the joy and magic of the Christmas spirit, illuminating the family\'s happiness despite their hardships.""The Spirit\'s Torch symbolizes the joy and magic of the Christmas spirit, illuminating the family\'s happiness despite their hardships.""The Spirit\'s Torch symbolizes the joy and magic of the Christmas spirit, illuminating the family\'s happiness despite their hardships.""The Spirit\'s Torch symbolizes the joy and magic of the Christmas spirit, illuminating the family\'s happiness despite their hardships."', 'source_id': 'chunk-19d72c57ae3408758b18d2568e86dc6bchunk-b0f459f5af1c3a5e0b92cbe4ee48b77b'} +2024-10-30 06:44:58,229 - lightrag - INFO - get_node:query:MATCH (n:`THE BAKER'S SHOP`) RETURN n:result: +2024-10-30 06:44:58,363 - lightrag - INFO - _do_upsert:query: + MERGE (n:`THE BAKER'S SHOP`) + SET n += $properties + RETURN n + :result:{'entity_type': '"ORGANIZATION"', 'description': '"The Baker\'s Shop is a significant location where townspeople gather to procure their meals, indicating a hub of community activity."', 'source_id': 'chunk-b0f459f5af1c3a5e0b92cbe4ee48b77b'} +2024-10-30 06:44:58,489 - lightrag - INFO - get_node:query:MATCH (n:`DINNERS`) RETURN n:result:"Dinners refer to the meals shared by families on Christmas Day, representing the joy and nourishment that bring people together.""Dinners refer to the meals shared by families on Christmas Day, representing the joy and nourishment that bring people together.""Dinners refer to the meals shared by families on Christmas Day, representing the joy and nourishment that bring people together.""Dinners represent the communal and familial gatherings that occur during Christmas, emphasized in the text as significant for enjoyment and sharing."', 'source_id': 'chunk-b0f459f5af1c3a5e0b92cbe4ee48b77b'}> +2024-10-30 06:44:58,620 - lightrag - INFO - _do_upsert:query: + MERGE (n:`DINNERS`) + SET n += $properties + RETURN n + :result:{'entity_type': '"EVENT"', 'description': '"Dinners refer to the meals shared by families on Christmas Day, representing the joy and nourishment that bring people together.""Dinners refer to the meals shared by families on Christmas Day, representing the joy and nourishment that bring people together.""Dinners refer to the meals shared by families on Christmas Day, representing the joy and nourishment that bring people together.""Dinners refer to the meals shared by families on Christmas Day, representing the joy and nourishment that bring people together.""Dinners refer to the meals shared by families on Christmas Day, representing the joy and nourishment that bring people together.""Dinners represent the communal and familial gatherings that occur during Christmas, emphasized in the text as significant for enjoyment and sharing."', 'source_id': 'chunk-b0f459f5af1c3a5e0b92cbe4ee48b77b'} +2024-10-30 06:44:58,748 - lightrag - INFO - get_node:query:MATCH (n:`THE STREETS`) RETURN n:result: +2024-10-30 06:44:58,879 - lightrag - INFO - _do_upsert:query: + MERGE (n:`THE STREETS`) + SET n += $properties + RETURN n + :result:{'entity_type': '"GEO"', 'description': '"The Streets are the setting for the gatherings and interactions of townspeople during Christmas, showcasing the festive atmosphere."', 'source_id': 'chunk-b0f459f5af1c3a5e0b92cbe4ee48b77b'} +2024-10-30 06:44:59,005 - lightrag - INFO - get_node:query:MATCH (n:`THE SUBURBS`) RETURN n:result: +2024-10-30 06:44:59,138 - lightrag - INFO - _do_upsert:query: + MERGE (n:`THE SUBURBS`) + SET n += $properties + RETURN n + :result:{'entity_type': '"GEO"', 'description': '"The Suburbs are depicted as the area where the Spirit takes Scrooge to observe the lives of the less fortunate, emphasizing social issues."', 'source_id': 'chunk-b0f459f5af1c3a5e0b92cbe4ee48b77b'} +2024-10-30 06:44:59,260 - lightrag - INFO - get_node:query:MATCH (n:`THE NIGHT`) RETURN n:result: +2024-10-30 06:44:59,388 - lightrag - INFO - _do_upsert:query: + MERGE (n:`THE NIGHT`) + SET n += $properties + RETURN n + :result:{'entity_type': '"EVENT"', 'description': '"The Night, particularly Christmas Eve, is framed as a time for reflection and celebration as families prepare for the festivities."', 'source_id': 'chunk-b0f459f5af1c3a5e0b92cbe4ee48b77b'} +2024-10-30 06:44:59,514 - lightrag - INFO - get_node:query:MATCH (n:`CRATCHIT FAMILY`) RETURN n:result:"The Cratchit Family consists of Bob, Mrs. Cratchit, and their children, embodying themes of family unity and contentment despite hardships.""The Cratchit Family consists of Bob, Mrs. Cratchit, and their children, embodying themes of family unity and contentment despite hardships.""The Cratchit Family consists of Bob, Mrs. Cratchit, and their children, embodying themes of family unity and contentment despite hardships.""The Cratchit Family is a close-knit family characterized by love and togetherness, celebrating Christmas with simple but joyful traditions.""The Cratchit Family is portrayed as a close-knit group who, despite their hardships, find joy and gratitude during the Christmas gathering.""The Cratchit Family is portrayed as a loving unit celebrating Christmas together, with various members actively participating in the festivities.""The Cratchit family represents a unit bound by love and resilience in the face of adversity, dealing with emotional and financial struggles.""The Cratchit Family is depicted as a warm and loving household celebrating Christmas together, with various members actively participating in the festivities.""The Cratchit Family is depicted as a warm and loving household celebrating Christmas together, with various members actively participating in the festivities.""The Cratchit Family is depicted as a warm and loving household celebrating Christmas together, with various members actively participating in the festivities.""The Cratchit Family is depicted as a warm and loving household celebrating Christmas together, with various members actively participating in the festivities."', 'source_id': 'chunk-7e2e7ebcc19a53b399dc03aded4743e7chunk-19d72c57ae3408758b18d2568e86dc6bchunk-503f0bfa5453467c7c61d160a3540ecachunk-83ac129dc9b56f84c46760d153d68e93'}> +2024-10-30 06:44:59,644 - lightrag - INFO - _do_upsert:query: + MERGE (n:`CRATCHIT FAMILY`) + SET n += $properties + RETURN n + :result:{'entity_type': '"ORGANIZATION"', 'description': '"The Cratchit Family consists of Bob, Mrs. Cratchit, and their children, embodying themes of family unity and contentment despite hardships.""The Cratchit Family consists of Bob, Mrs. Cratchit, and their children, embodying themes of family unity and contentment despite hardships.""The Cratchit Family consists of Bob, Mrs. Cratchit, and their children, embodying themes of family unity and contentment despite hardships.""The Cratchit Family consists of Bob, Mrs. Cratchit, and their children, embodying themes of family unity and contentment despite hardships.""The Cratchit Family consists of Bob, Mrs. Cratchit, and their children, embodying themes of family unity and contentment despite hardships.""The Cratchit Family is a close-knit family characterized by love and togetherness, celebrating Christmas with simple but joyful traditions.""The Cratchit Family is portrayed as a close-knit group who, despite their hardships, find joy and gratitude during the Christmas gathering.""The Cratchit Family is portrayed as a loving unit celebrating Christmas together, with various members actively participating in the festivities.""The Cratchit family represents a unit bound by love and resilience in the face of adversity, dealing with emotional and financial struggles.""The Cratchit Family is depicted as a warm and loving household celebrating Christmas together, with various members actively participating in the festivities.""The Cratchit Family is depicted as a warm and loving household celebrating Christmas together, with various members actively participating in the festivities.""The Cratchit Family is depicted as a warm and loving household celebrating Christmas together, with various members actively participating in the festivities.""The Cratchit Family is depicted as a warm and loving household celebrating Christmas together, with various members actively participating in the festivities.""The Cratchit Family is depicted as a warm and loving household celebrating Christmas together, with various members actively participating in the festivities."', 'source_id': 'chunk-503f0bfa5453467c7c61d160a3540ecachunk-19d72c57ae3408758b18d2568e86dc6bchunk-7e2e7ebcc19a53b399dc03aded4743e7chunk-83ac129dc9b56f84c46760d153d68e93'} +2024-10-30 06:44:59,773 - lightrag - INFO - get_node:query:MATCH (n:`MARTHA`) RETURN n:result:"Martha is the daughter in the Cratchit family, who makes a dramatic entrance to surprise her family, highlighting the family\'s closeness.""Martha is the daughter in the Cratchit family, who makes a dramatic entrance to surprise her family, highlighting the family\'s closeness.""Martha is the daughter in the Cratchit family, who makes a dramatic entrance to surprise her family, highlighting the family\'s closeness.""Martha is the daughter in the Cratchit family, who makes a dramatic entrance to surprise her family, highlighting the family\'s closeness."', 'source_id': 'chunk-7e2e7ebcc19a53b399dc03aded4743e7chunk-19d72c57ae3408758b18d2568e86dc6b'}> +2024-10-30 06:44:59,907 - lightrag - INFO - _do_upsert:query: + MERGE (n:`MARTHA`) + SET n += $properties + RETURN n + :result:{'entity_type': '"PERSON"', 'description': '"Martha is a poor apprentice at a milliner\'s and shares her experience with the family during their Christmas gathering, contributing to the family atmosphere.""Martha is the daughter in the Cratchit family, who makes a dramatic entrance to surprise her family, highlighting the family\'s closeness.""Martha is the daughter in the Cratchit family, who makes a dramatic entrance to surprise her family, highlighting the family\'s closeness.""Martha is the daughter in the Cratchit family, who makes a dramatic entrance to surprise her family, highlighting the family\'s closeness.""Martha is the daughter in the Cratchit family, who makes a dramatic entrance to surprise her family, highlighting the family\'s closeness.""Martha is the daughter in the Cratchit family, who makes a dramatic entrance to surprise her family, highlighting the family\'s closeness."', 'source_id': 'chunk-19d72c57ae3408758b18d2568e86dc6bchunk-7e2e7ebcc19a53b399dc03aded4743e7'} +2024-10-30 06:45:00,036 - lightrag - INFO - get_node:query:MATCH (n:`CRATCHIT CHRISTMAS DINNER`) RETURN n:result: +2024-10-30 06:45:00,162 - lightrag - INFO - _do_upsert:query: + MERGE (n:`CRATCHIT CHRISTMAS DINNER`) + SET n += $properties + RETURN n + :result:{'entity_type': '"EVENT"', 'description': '"Cratchit Christmas Dinner is a festive occasion filled with joy, love, and togetherness as the family celebrates the holiday."', 'source_id': 'chunk-7e2e7ebcc19a53b399dc03aded4743e7'} +2024-10-30 06:45:00,287 - lightrag - INFO - get_node:query:MATCH (n:`THE GOOSE`) RETURN n:result:"The Goose is a central dish enjoyed by the Cratchit family during their Christmas dinner, symbolizing abundance and celebration.""The Goose is a central dish enjoyed by the Cratchit family during their Christmas dinner, symbolizing abundance and celebration.""The Goose is a central dish enjoyed by the Cratchit family during their Christmas dinner, symbolizing abundance and celebration.""The Goose is a central element of the Cratchit Christmas dinner, representing abundance and the joy of the holiday as the family eagerly anticipates its serving.""The Goose is a central part of the Cratchit family Christmas dinner, which they celebrate with excitement and anticipation, symbolizing abundance and joy.""The Goose is a central element of the Cratchit Christmas dinner, representing abundance and the joy of the holiday as the family eagerly anticipates its serving.""The Goose is a central element of the Cratchit Christmas dinner, representing abundance and the joy of the holiday as the family eagerly anticipates its serving.""The Goose is a central element of the Cratchit Christmas dinner, representing abundance and the joy of the holiday as the family eagerly anticipates its serving."', 'source_id': 'chunk-7e2e7ebcc19a53b399dc03aded4743e7chunk-503f0bfa5453467c7c61d160a3540eca'}> +2024-10-30 06:45:00,421 - lightrag - INFO - _do_upsert:query: + MERGE (n:`THE GOOSE`) + SET n += $properties + RETURN n + :result:{'entity_type': '"EVENT"', 'description': '"The Goose is a central dish enjoyed by the Cratchit family during their Christmas dinner, symbolizing abundance and celebration.""The Goose is a central dish enjoyed by the Cratchit family during their Christmas dinner, symbolizing abundance and celebration.""The Goose is a central dish enjoyed by the Cratchit family during their Christmas dinner, symbolizing abundance and celebration.""The Goose is a central dish enjoyed by the Cratchit family during their Christmas dinner, symbolizing abundance and celebration.""The Goose is a central dish enjoyed by the Cratchit family during their Christmas dinner, symbolizing abundance and celebration.""The Goose is a central element of the Cratchit Christmas dinner, representing abundance and the joy of the holiday as the family eagerly anticipates its serving.""The Goose is a central part of the Cratchit family Christmas dinner, which they celebrate with excitement and anticipation, symbolizing abundance and joy.""The Goose is a central element of the Cratchit Christmas dinner, representing abundance and the joy of the holiday as the family eagerly anticipates its serving.""The Goose is a central element of the Cratchit Christmas dinner, representing abundance and the joy of the holiday as the family eagerly anticipates its serving.""The Goose is a central element of the Cratchit Christmas dinner, representing abundance and the joy of the holiday as the family eagerly anticipates its serving.""The Goose is a central element of the Cratchit Christmas dinner, representing abundance and the joy of the holiday as the family eagerly anticipates its serving."', 'source_id': 'chunk-503f0bfa5453467c7c61d160a3540ecachunk-7e2e7ebcc19a53b399dc03aded4743e7'} +2024-10-30 06:45:00,549 - lightrag - INFO - get_node:query:MATCH (n:`THE YOUNG CRATCHITS`) RETURN n:result: +2024-10-30 06:45:00,686 - lightrag - INFO - _do_upsert:query: + MERGE (n:`THE YOUNG CRATCHITS`) + SET n += $properties + RETURN n + :result:{'entity_type': '"ORGANIZATION"', 'description': '"The Young Cratchits are the children in the Cratchit family who contribute to the lively atmosphere, expressing excitement and involvement in the Christmas celebrations."', 'source_id': 'chunk-7e2e7ebcc19a53b399dc03aded4743e7'} +2024-10-30 06:45:00,810 - lightrag - INFO - get_node:query:MATCH (n:`THE PUDDING`) RETURN n:result:"The Pudding is a special dessert made by Mrs. Cratchit, described as hard and firm, and is a source of pride and excitement for the family.""The Pudding is a special dessert made by Mrs. Cratchit, described as hard and firm, and is a source of pride and excitement for the family.""The Pudding is a special dessert made by Mrs. Cratchit, described as hard and firm, and is a source of pride and excitement for the family.""The Pudding is a traditional dish prepared for Christmas, symbolizing festivity and the warmth of family gatherings.""The Pudding is a traditional dish served at the Cratchit Christmas dinner, symbolizing festive joy and family gatherings.""The Pudding is a traditional dish served at the Cratchit Christmas dinner, symbolizing festive joy and family gatherings.""The Pudding is a traditional dish served at the Cratchit Christmas dinner, symbolizing festive joy and family gatherings.""The Pudding is a traditional dish served at the Cratchit Christmas dinner, symbolizing festive joy and family gatherings."', 'source_id': 'chunk-7e2e7ebcc19a53b399dc03aded4743e7chunk-90d5764e301321c087f5a8f78b73a145chunk-503f0bfa5453467c7c61d160a3540eca'}> +2024-10-30 06:45:00,946 - lightrag - INFO - _do_upsert:query: + MERGE (n:`THE PUDDING`) + SET n += $properties + RETURN n + :result:{'entity_type': '"EVENT"', 'description': '"The Pudding is a special dessert made by Mrs. Cratchit, described as hard and firm, and is a source of pride and excitement for the family.""The Pudding is a special dessert made by Mrs. Cratchit, described as hard and firm, and is a source of pride and excitement for the family.""The Pudding is a special dessert made by Mrs. Cratchit, described as hard and firm, and is a source of pride and excitement for the family.""The Pudding is a special dessert made by Mrs. Cratchit, described as hard and firm, and is a source of pride and excitement for the family.""The Pudding is a special dessert made by Mrs. Cratchit, described as hard and firm, and is a source of pride and excitement for the family.""The Pudding is a traditional dish prepared for Christmas, symbolizing festivity and the warmth of family gatherings.""The Pudding is a traditional dish served at the Cratchit Christmas dinner, symbolizing festive joy and family gatherings.""The Pudding is a traditional dish served at the Cratchit Christmas dinner, symbolizing festive joy and family gatherings.""The Pudding is a traditional dish served at the Cratchit Christmas dinner, symbolizing festive joy and family gatherings.""The Pudding is a traditional dish served at the Cratchit Christmas dinner, symbolizing festive joy and family gatherings.""The Pudding is a traditional dish served at the Cratchit Christmas dinner, symbolizing festive joy and family gatherings."', 'source_id': 'chunk-503f0bfa5453467c7c61d160a3540ecachunk-7e2e7ebcc19a53b399dc03aded4743e7chunk-90d5764e301321c087f5a8f78b73a145'} +2024-10-30 06:45:01,073 - lightrag - INFO - get_node:query:MATCH (n:`THE FIRE`) RETURN n:result:"The Fire represents warmth and comfort in the Cratchit household, inviting family members to gather around during their Christmas celebration.""The Fire represents warmth and comfort in the Cratchit household, inviting family members to gather around during their Christmas celebration.""The Fire represents warmth and comfort in the Cratchit household, inviting family members to gather around during their Christmas celebration.""The Fire represents warmth and comfort in the Cratchit household, inviting family members to gather around during their Christmas celebration."', 'source_id': 'chunk-7e2e7ebcc19a53b399dc03aded4743e7chunk-773d0df1dd25c356f7b771d780583e09'}> +2024-10-30 06:45:01,203 - lightrag - INFO - _do_upsert:query: + MERGE (n:`THE FIRE`) + SET n += $properties + RETURN n + :result:{'entity_type': '"EVENT"', 'description': '"The Fire represents warmth and comfort during the family gathering, enhancing the atmosphere of camaraderie.""The Fire represents warmth and comfort in the Cratchit household, inviting family members to gather around during their Christmas celebration.""The Fire represents warmth and comfort in the Cratchit household, inviting family members to gather around during their Christmas celebration.""The Fire represents warmth and comfort in the Cratchit household, inviting family members to gather around during their Christmas celebration.""The Fire represents warmth and comfort in the Cratchit household, inviting family members to gather around during their Christmas celebration.""The Fire represents warmth and comfort in the Cratchit household, inviting family members to gather around during their Christmas celebration."', 'source_id': 'chunk-773d0df1dd25c356f7b771d780583e09chunk-7e2e7ebcc19a53b399dc03aded4743e7'} +2024-10-30 06:45:01,329 - lightrag - INFO - get_node:query:MATCH (n:`THE DINNER`) RETURN n:result:"The Dinner is a festive event where the Cratchit family gathers to enjoy a meal, including a special goose and pudding, symbolizing their togetherness.""The Dinner is a festive event where the Cratchit family gathers to enjoy a meal, including a special goose and pudding, symbolizing their togetherness.""The Dinner is a festive event where the Cratchit family gathers to enjoy a meal, including a special goose and pudding, symbolizing their togetherness.""The Dinner is a social event characterized by laughter, music, and discussions about Scrooge, portraying a festive Christmas gathering."', 'source_id': 'chunk-503f0bfa5453467c7c61d160a3540ecachunk-773d0df1dd25c356f7b771d780583e09'}> +2024-10-30 06:45:01,463 - lightrag - INFO - _do_upsert:query: + MERGE (n:`THE DINNER`) + SET n += $properties + RETURN n + :result:{'entity_type': '"EVENT"', 'description': '"The Dinner is a festive event where the Cratchit family gathers to enjoy a meal, including a special goose and pudding, symbolizing their togetherness.""The Dinner is a festive event where the Cratchit family gathers to enjoy a meal, including a special goose and pudding, symbolizing their togetherness.""The Dinner is a festive event where the Cratchit family gathers to enjoy a meal, including a special goose and pudding, symbolizing their togetherness.""The Dinner is a festive event where the Cratchit family gathers to enjoy a meal, including a special goose and pudding, symbolizing their togetherness.""The Dinner is a festive event where the Cratchit family gathers to enjoy a meal, including a special goose and pudding, symbolizing their togetherness.""The Dinner is a social event characterized by laughter, music, and discussions about Scrooge, portraying a festive Christmas gathering."', 'source_id': 'chunk-503f0bfa5453467c7c61d160a3540ecachunk-773d0df1dd25c356f7b771d780583e09'} +2024-10-30 06:45:01,592 - lightrag - INFO - get_node:query:MATCH (n:`MISS BELINDA`) RETURN n:result: +2024-10-30 06:45:01,728 - lightrag - INFO - _do_upsert:query: + MERGE (n:`MISS BELINDA`) + SET n += $properties + RETURN n + :result:{'entity_type': '"PERSON"', 'description': '"Miss Belinda is a member of the Cratchit family who assists in the dinner preparations, specifically changing the plates."', 'source_id': 'chunk-503f0bfa5453467c7c61d160a3540eca'} +2024-10-30 06:45:01,852 - lightrag - INFO - get_node:query:MATCH (n:`THE FOUNDER OF THE FEAST`) RETURN n:result: +2024-10-30 06:45:01,986 - lightrag - INFO - _do_upsert:query: + MERGE (n:`THE FOUNDER OF THE FEAST`) + SET n += $properties + RETURN n + :result:{'entity_type': '"TITLE"', 'description': '"The Founder of the Feast refers to Scrooge, whom Bob Cratchit acknowledges during the Christmas dinner, signifying gratitude toward Scrooge\'s provision for the meal."', 'source_id': 'chunk-503f0bfa5453467c7c61d160a3540eca'} +2024-10-30 06:45:02,115 - lightrag - INFO - get_node:query:MATCH (n:`THE COUNTESS`) RETURN n:result:"The Countess is mentioned by Martha, indicating an encounter that highlights the social stratification and aspirations of the Cratchit family.""The Countess is mentioned by Martha, indicating an encounter that highlights the social stratification and aspirations of the Cratchit family.""The Countess is mentioned by Martha, indicating an encounter that highlights the social stratification and aspirations of the Cratchit family.""The Countess is referenced by Martha, showcasing her interaction with figures of higher social status, contrasting with the Cratchit family\'s situation."', 'source_id': 'chunk-19d72c57ae3408758b18d2568e86dc6b'}> +2024-10-30 06:45:02,245 - lightrag - INFO - _do_upsert:query: + MERGE (n:`THE COUNTESS`) + SET n += $properties + RETURN n + :result:{'entity_type': '"PERSON"', 'description': '"The Countess is mentioned by Martha, indicating an encounter that highlights the social stratification and aspirations of the Cratchit family.""The Countess is mentioned by Martha, indicating an encounter that highlights the social stratification and aspirations of the Cratchit family.""The Countess is mentioned by Martha, indicating an encounter that highlights the social stratification and aspirations of the Cratchit family.""The Countess is mentioned by Martha, indicating an encounter that highlights the social stratification and aspirations of the Cratchit family.""The Countess is mentioned by Martha, indicating an encounter that highlights the social stratification and aspirations of the Cratchit family.""The Countess is referenced by Martha, showcasing her interaction with figures of higher social status, contrasting with the Cratchit family\'s situation."', 'source_id': 'chunk-19d72c57ae3408758b18d2568e86dc6b'} +2024-10-30 06:45:02,373 - lightrag - INFO - get_node:query:MATCH (n:`THE LORD`) RETURN n:result:"The Lord is referenced in Martha\'s account of her work, underscoring the contrast between the Cratchit family\'s modest means and the nobility.""The Lord is referenced in Martha\'s account of her work, underscoring the contrast between the Cratchit family\'s modest means and the nobility.""The Lord is referenced in Martha\'s account of her work, underscoring the contrast between the Cratchit family\'s modest means and the nobility.""The Lord is referenced in Martha\'s account of her work, underscoring the contrast between the Cratchit family\'s modest means and the nobility."', 'source_id': 'chunk-19d72c57ae3408758b18d2568e86dc6b'}> +2024-10-30 06:45:02,502 - lightrag - INFO - _do_upsert:query: + MERGE (n:`THE LORD`) + SET n += $properties + RETURN n + :result:{'entity_type': '"PERSON"', 'description': '"The Lord is mentioned by Martha as someone she encountered, illustrating her experiences outside her family\'s struggles.""The Lord is referenced in Martha\'s account of her work, underscoring the contrast between the Cratchit family\'s modest means and the nobility.""The Lord is referenced in Martha\'s account of her work, underscoring the contrast between the Cratchit family\'s modest means and the nobility.""The Lord is referenced in Martha\'s account of her work, underscoring the contrast between the Cratchit family\'s modest means and the nobility.""The Lord is referenced in Martha\'s account of her work, underscoring the contrast between the Cratchit family\'s modest means and the nobility.""The Lord is referenced in Martha\'s account of her work, underscoring the contrast between the Cratchit family\'s modest means and the nobility."', 'source_id': 'chunk-19d72c57ae3408758b18d2568e86dc6b'} +2024-10-30 06:45:02,629 - lightrag - INFO - get_node:query:MATCH (n:`THE GATHERING`) RETURN n:result: +2024-10-30 06:45:02,756 - lightrag - INFO - _do_upsert:query: + MERGE (n:`THE GATHERING`) + SET n += $properties + RETURN n + :result:{'entity_type': '"EVENT"', 'description': '"The Gathering refers to the collective event of the family coming together to celebrate Christmas, filled with warmth and camaraderie despite their struggles."', 'source_id': 'chunk-19d72c57ae3408758b18d2568e86dc6b'} +2024-10-30 06:45:02,882 - lightrag - INFO - get_node:query:MATCH (n:`THE LIGHTHOUSE`) RETURN n:result:"The Lighthouse serves as a solitary structure representing hope and guidance amid a stormy sea, populated by individuals celebrating Christmas.""The Lighthouse serves as a solitary structure representing hope and guidance amid a stormy sea, populated by individuals celebrating Christmas.""The Lighthouse serves as a solitary structure representing hope and guidance amid a stormy sea, populated by individuals celebrating Christmas.""The Lighthouse serves as a solitary structure representing hope and guidance amid a stormy sea, populated by individuals celebrating Christmas."', 'source_id': 'chunk-91614df5cb74cbe5e109a338a82041e9'}> +2024-10-30 06:45:03,013 - lightrag - INFO - _do_upsert:query: + MERGE (n:`THE LIGHTHOUSE`) + SET n += $properties + RETURN n + :result:{'entity_type': '"GEO"', 'description': '"The Lighthouse is a solitary structure standing on a reef, symbolizing hope and guidance amidst the tumultuous sea.""The Lighthouse serves as a solitary structure representing hope and guidance amid a stormy sea, populated by individuals celebrating Christmas.""The Lighthouse serves as a solitary structure representing hope and guidance amid a stormy sea, populated by individuals celebrating Christmas.""The Lighthouse serves as a solitary structure representing hope and guidance amid a stormy sea, populated by individuals celebrating Christmas.""The Lighthouse serves as a solitary structure representing hope and guidance amid a stormy sea, populated by individuals celebrating Christmas.""The Lighthouse serves as a solitary structure representing hope and guidance amid a stormy sea, populated by individuals celebrating Christmas."', 'source_id': 'chunk-91614df5cb74cbe5e109a338a82041e9'} +2024-10-30 06:45:03,142 - lightrag - INFO - get_node:query:MATCH (n:`THE SHIP`) RETURN n:result:"The Ship is a vessel where the crew shares moments of kindness and reflection during Christmas, symbolizing unity and camaraderie.""The Ship is a vessel where the crew shares moments of kindness and reflection during Christmas, symbolizing unity and camaraderie.""The Ship is a vessel where the crew shares moments of kindness and reflection during Christmas, symbolizing unity and camaraderie.""The Ship is described as a vessel on the open sea, where the crew reflects on Christmas, showcasing camaraderie and a sense of belonging."', 'source_id': 'chunk-91614df5cb74cbe5e109a338a82041e9'}> +2024-10-30 06:45:03,272 - lightrag - INFO - _do_upsert:query: + MERGE (n:`THE SHIP`) + SET n += $properties + RETURN n + :result:{'entity_type': '"GEO"', 'description': '"The Ship is a vessel where the crew shares moments of kindness and reflection during Christmas, symbolizing unity and camaraderie.""The Ship is a vessel where the crew shares moments of kindness and reflection during Christmas, symbolizing unity and camaraderie.""The Ship is a vessel where the crew shares moments of kindness and reflection during Christmas, symbolizing unity and camaraderie.""The Ship is a vessel where the crew shares moments of kindness and reflection during Christmas, symbolizing unity and camaraderie.""The Ship is a vessel where the crew shares moments of kindness and reflection during Christmas, symbolizing unity and camaraderie.""The Ship is described as a vessel on the open sea, where the crew reflects on Christmas, showcasing camaraderie and a sense of belonging."', 'source_id': 'chunk-91614df5cb74cbe5e109a338a82041e9'} +2024-10-30 06:45:03,398 - lightrag - INFO - get_node:query:MATCH (n:`THE LAMPLIGHTER`) RETURN n:result:"The Lamplighter is a character who brings light to the street, symbolizing hope and joy as he dotting the dusky street with specks of light.""The Lamplighter is a character who brings light to the street, symbolizing hope and joy as he dotting the dusky street with specks of light.""The Lamplighter is a character who brings light to the street, symbolizing hope and joy as he dotting the dusky street with specks of light.""The Lamplighter is a character who fills the street with light, representing the warmth and joy of the holiday season."', 'source_id': 'chunk-91614df5cb74cbe5e109a338a82041e9'}> +2024-10-30 06:45:03,529 - lightrag - INFO - _do_upsert:query: + MERGE (n:`THE LAMPLIGHTER`) + SET n += $properties + RETURN n + :result:{'entity_type': '"PERSON"', 'description': '"The Lamplighter is a character who brings light to the street, symbolizing hope and joy as he dotting the dusky street with specks of light.""The Lamplighter is a character who brings light to the street, symbolizing hope and joy as he dotting the dusky street with specks of light.""The Lamplighter is a character who brings light to the street, symbolizing hope and joy as he dotting the dusky street with specks of light.""The Lamplighter is a character who brings light to the street, symbolizing hope and joy as he dotting the dusky street with specks of light.""The Lamplighter is a character who brings light to the street, symbolizing hope and joy as he dotting the dusky street with specks of light.""The Lamplighter is a character who fills the street with light, representing the warmth and joy of the holiday season."', 'source_id': 'chunk-91614df5cb74cbe5e109a338a82041e9'} +2024-10-30 06:45:03,658 - lightrag - INFO - get_node:query:MATCH (n:`THE MOOR`) RETURN n:result: +2024-10-30 06:45:03,785 - lightrag - INFO - _do_upsert:query: + MERGE (n:`THE MOOR`) + SET n += $properties + RETURN n + :result:{'entity_type': '"GEO"', 'description': '"The Moor is depicted as a bleak and desolate landscape, symbolizing the harsh conditions where miners live."', 'source_id': 'chunk-91614df5cb74cbe5e109a338a82041e9'} +2024-10-30 06:45:03,912 - lightrag - INFO - get_node:query:MATCH (n:`THE OLD MAN`) RETURN n:result:"The Old Man is a character who sings a Christmas song, providing a sense of tradition and warmth amidst the desolate environment.""The Old Man is a character who sings a Christmas song, providing a sense of tradition and warmth amidst the desolate environment.""The Old Man is a character who sings a Christmas song, providing a sense of tradition and warmth amidst the desolate environment.""The Old Man is portrayed as a figure of light and joy among his family, singing a Christmas song that connects generations."', 'source_id': 'chunk-91614df5cb74cbe5e109a338a82041e9'}> +2024-10-30 06:45:04,045 - lightrag - INFO - _do_upsert:query: + MERGE (n:`THE OLD MAN`) + SET n += $properties + RETURN n + :result:{'entity_type': '"PERSON"', 'description': '"The Old Man is a character who sings a Christmas song, providing a sense of tradition and warmth amidst the desolate environment.""The Old Man is a character who sings a Christmas song, providing a sense of tradition and warmth amidst the desolate environment.""The Old Man is a character who sings a Christmas song, providing a sense of tradition and warmth amidst the desolate environment.""The Old Man is a character who sings a Christmas song, providing a sense of tradition and warmth amidst the desolate environment.""The Old Man is a character who sings a Christmas song, providing a sense of tradition and warmth amidst the desolate environment.""The Old Man is portrayed as a figure of light and joy among his family, singing a Christmas song that connects generations."', 'source_id': 'chunk-91614df5cb74cbe5e109a338a82041e9'} +2024-10-30 06:45:04,173 - lightrag - INFO - get_node:query:MATCH (n:`THE HUT`) RETURN n:result:"The Hut is a place where miners and their families gather to celebrate Christmas, representing warmth and community.""The Hut is a place where miners and their families gather to celebrate Christmas, representing warmth and community.""The Hut is a place where miners and their families gather to celebrate Christmas, representing warmth and community.""The Hut is a shelter for the miners that provides warmth and a gathering space for family during the winter, serving as a symbol of refuge."', 'source_id': 'chunk-91614df5cb74cbe5e109a338a82041e9'}> +2024-10-30 06:45:04,301 - lightrag - INFO - _do_upsert:query: + MERGE (n:`THE HUT`) + SET n += $properties + RETURN n + :result:{'entity_type': '"GEO"', 'description': '"The Hut is a place where miners and their families gather to celebrate Christmas, representing warmth and community.""The Hut is a place where miners and their families gather to celebrate Christmas, representing warmth and community.""The Hut is a place where miners and their families gather to celebrate Christmas, representing warmth and community.""The Hut is a place where miners and their families gather to celebrate Christmas, representing warmth and community.""The Hut is a place where miners and their families gather to celebrate Christmas, representing warmth and community.""The Hut is a shelter for the miners that provides warmth and a gathering space for family during the winter, serving as a symbol of refuge."', 'source_id': 'chunk-91614df5cb74cbe5e109a338a82041e9'} +2024-10-30 06:45:04,434 - lightrag - INFO - get_node:query:MATCH (n:`THE MINERS`) RETURN n:result:"The Miners are individuals who labor in the moor, showcasing their resilience and connection to Christmas despite their harsh living conditions.""The Miners are individuals who labor in the moor, showcasing their resilience and connection to Christmas despite their harsh living conditions.""The Miners are individuals who labor in the moor, showcasing their resilience and connection to Christmas despite their harsh living conditions.""The Miners refer to a group of laborers living in a bleak landscape, embodying the struggles and resilience of working-class life."', 'source_id': 'chunk-91614df5cb74cbe5e109a338a82041e9'}> +2024-10-30 06:45:04,566 - lightrag - INFO - _do_upsert:query: + MERGE (n:`THE MINERS`) + SET n += $properties + RETURN n + :result:{'entity_type': '"ORGANIZATION"', 'description': '"The Miners are individuals who labor in the moor, showcasing their resilience and connection to Christmas despite their harsh living conditions.""The Miners are individuals who labor in the moor, showcasing their resilience and connection to Christmas despite their harsh living conditions.""The Miners are individuals who labor in the moor, showcasing their resilience and connection to Christmas despite their harsh living conditions.""The Miners are individuals who labor in the moor, showcasing their resilience and connection to Christmas despite their harsh living conditions.""The Miners are individuals who labor in the moor, showcasing their resilience and connection to Christmas despite their harsh living conditions.""The Miners refer to a group of laborers living in a bleak landscape, embodying the struggles and resilience of working-class life."', 'source_id': 'chunk-91614df5cb74cbe5e109a338a82041e9'} +2024-10-30 06:45:04,693 - lightrag - INFO - get_node:query:MATCH (n:`THE OFFICERS`) RETURN n:result: +2024-10-30 06:45:04,827 - lightrag - INFO - _do_upsert:query: + MERGE (n:`THE OFFICERS`) + SET n += $properties + RETURN n + :result:{'entity_type': '"ORGANIZATION"', 'description': '"The Officers are dark, ghostly figures aboard the ship, participating in the shared camaraderie of the Christmas spirit."', 'source_id': 'chunk-91614df5cb74cbe5e109a338a82041e9'} +2024-10-30 06:45:04,957 - lightrag - INFO - get_node:query:MATCH (n:`THE WAVE`) RETURN n:result: +2024-10-30 06:45:05,091 - lightrag - INFO - _do_upsert:query: + MERGE (n:`THE WAVE`) + SET n += $properties + RETURN n + :result:{'entity_type': '"GEO"', 'description': '"The Wave is described as thundering and raging, representing the overwhelming natural forces present in the sea setting."', 'source_id': 'chunk-91614df5cb74cbe5e109a338a82041e9'} +2024-10-30 06:45:05,216 - lightrag - INFO - get_node:query:MATCH (n:`STORM-BIRDS`) RETURN n:result:"Storm-Birds are creatures associated with the wild sea, symbolizing the untamed nature of the environment around the lighthouse.""Storm-Birds are creatures associated with the wild sea, symbolizing the untamed nature of the environment around the lighthouse.""Storm-Birds are creatures associated with the wild sea, symbolizing the untamed nature of the environment around the lighthouse.""Storm-Birds are depicted as creatures that rise and fall with the waves, symbolizing the harshness of the environment and the connection to the sea."', 'source_id': 'chunk-91614df5cb74cbe5e109a338a82041e9'}> +2024-10-30 06:45:05,343 - lightrag - INFO - _do_upsert:query: + MERGE (n:`STORM-BIRDS`) + SET n += $properties + RETURN n + :result:{'entity_type': '"GEO"', 'description': '"Storm-Birds are creatures associated with the wild sea, symbolizing the untamed nature of the environment around the lighthouse.""Storm-Birds are creatures associated with the wild sea, symbolizing the untamed nature of the environment around the lighthouse.""Storm-Birds are creatures associated with the wild sea, symbolizing the untamed nature of the environment around the lighthouse.""Storm-Birds are creatures associated with the wild sea, symbolizing the untamed nature of the environment around the lighthouse.""Storm-Birds are creatures associated with the wild sea, symbolizing the untamed nature of the environment around the lighthouse.""Storm-Birds are depicted as creatures that rise and fall with the waves, symbolizing the harshness of the environment and the connection to the sea."', 'source_id': 'chunk-91614df5cb74cbe5e109a338a82041e9'} +2024-10-30 06:45:05,468 - lightrag - INFO - get_node:query:MATCH (n:`SCROOGE'S NIECE`) RETURN n:result:"Scrooge\'s Niece is a lively character who expresses indignation towards Scrooge\'s disdain for Christmas and embodies warmth and charm, showing affection and concern for family.""Scrooge\'s Niece is a lively character who expresses indignation towards Scrooge\'s disdain for Christmas and embodies warmth and charm, showing affection and concern for family.""Scrooge\'s Niece is a lively character who expresses indignation towards Scrooge\'s disdain for Christmas and embodies warmth and charm, showing affection and concern for family.""Scrooge\'s Niece is depicted as a beautiful and lively character who expresses strong opinions about her uncle Scrooge.""Scrooge\'s niece is depicted as a joyful participant in the evening\'s festivities, engaging in games and music.""Scrooge\'s niece is a central figure in the family gathering, enjoying the festivities and games, showing a loving and vibrant personality.""Scrooge\'s niece is a central figure in the family gathering, enjoying the festivities and games, showing a loving and vibrant personality.""Scrooge\'s niece is a central figure in the family gathering, enjoying the festivities and games, showing a loving and vibrant personality.""Scrooge\'s niece is a central figure in the family gathering, enjoying the festivities and games, showing a loving and vibrant personality."', 'source_id': 'chunk-43c9bee23adfa77aa9dedd22401bba7dchunk-773d0df1dd25c356f7b771d780583e09'}> +2024-10-30 06:45:05,598 - lightrag - INFO - _do_upsert:query: + MERGE (n:`SCROOGE'S NIECE`) + SET n += $properties + RETURN n + :result:{'entity_type': '"PERSON"', 'description': '"Scrooge\'s Niece is a lively character who expresses indignation towards Scrooge\'s disdain for Christmas and embodies warmth and charm, showing affection and concern for family.""Scrooge\'s Niece is a lively character who expresses indignation towards Scrooge\'s disdain for Christmas and embodies warmth and charm, showing affection and concern for family.""Scrooge\'s Niece is a lively character who expresses indignation towards Scrooge\'s disdain for Christmas and embodies warmth and charm, showing affection and concern for family.""Scrooge\'s Niece is a lively character who expresses indignation towards Scrooge\'s disdain for Christmas and embodies warmth and charm, showing affection and concern for family.""Scrooge\'s Niece is a lively character who expresses indignation towards Scrooge\'s disdain for Christmas and embodies warmth and charm, showing affection and concern for family.""Scrooge\'s Niece is depicted as a beautiful and lively character who expresses strong opinions about her uncle Scrooge.""Scrooge\'s niece is depicted as a joyful participant in the evening\'s festivities, engaging in games and music.""Scrooge\'s niece is a central figure in the family gathering, enjoying the festivities and games, showing a loving and vibrant personality.""Scrooge\'s niece is a central figure in the family gathering, enjoying the festivities and games, showing a loving and vibrant personality.""Scrooge\'s niece is a central figure in the family gathering, enjoying the festivities and games, showing a loving and vibrant personality.""Scrooge\'s niece is a central figure in the family gathering, enjoying the festivities and games, showing a loving and vibrant personality.""Scrooge\'s niece is a central figure in the family gathering, enjoying the festivities and games, showing a loving and vibrant personality."', 'source_id': 'chunk-773d0df1dd25c356f7b771d780583e09chunk-43c9bee23adfa77aa9dedd22401bba7d'} +2024-10-30 06:45:05,728 - lightrag - INFO - get_node:query:MATCH (n:`TOPPER`) RETURN n:result:"Topper is a character who participates in the dinner and seems to have an interest in one of Scrooge\'s niece\'s sisters.""Topper is a guest at the Christmas party, representing the jovial and festive spirit of the gathering with Fred and Scrooge.""Topper is a jovial character who participates in games and is known for his playful and somewhat roguish behavior during the festivities.""Topper is a member of Scrooge\'s Niece\'s social group, characterized by his playful manner and romantic interests, notably towards one of Scrooge\'s Niece\'s sisters.""Topper is one of Fred\'s friends who attends the Christmas gathering, contributing to the joyful atmosphere of the celebration.""Topper is a jovial character who participates in games and is known for his playful and somewhat roguish behavior during the festivities.""Topper is a member of Scrooge\'s Niece\'s social group, characterized by his playful manner and romantic interests, notably towards one of Scrooge\'s Niece\'s sisters.""Topper is one of Fred\'s friends who attends the Christmas gathering, contributing to the joyful atmosphere of the celebration.""Topper is a jovial character who participates in games and is known for his playful and somewhat roguish behavior during the festivities.""Topper is a member of Scrooge\'s Niece\'s social group, characterized by his playful manner and romantic interests, notably towards one of Scrooge\'s Niece\'s sisters.""Topper is one of Fred\'s friends who attends the Christmas gathering, contributing to the joyful atmosphere of the celebration.""Topper is a jovial character who participates in games and is known for his playful and somewhat roguish behavior during the festivities.""Topper is a member of Scrooge\'s Niece\'s social group, characterized by his playful manner and romantic interests, notably towards one of Scrooge\'s Niece\'s sisters.""Topper is one of Fred\'s friends who attends the Christmas gathering, contributing to the joyful atmosphere of the celebration."', 'source_id': 'chunk-43c9bee23adfa77aa9dedd22401bba7dchunk-94bea83e7153fc2064aa382b494936a1chunk-773d0df1dd25c356f7b771d780583e09'}> +2024-10-30 06:45:05,730 - lightrag - DEBUG - Trigger summary: "TOPPER" +2024-10-30 06:45:05,829 - lightrag - INFO - get_node:query:MATCH (n:`SCROOGE'S NIECE'S SISTERS`) RETURN n:result:"Scrooge\'s Niece\'s Sisters are a part of the family gathering, expressing their opinions and adding to the lively atmosphere with their laughter and good humor.""Scrooge\'s Niece\'s Sisters are a part of the family gathering, expressing their opinions and adding to the lively atmosphere with their laughter and good humor.""Scrooge\'s Niece\'s Sisters are a part of the family gathering, expressing their opinions and adding to the lively atmosphere with their laughter and good humor.""Scrooge\'s Niece\'s Sisters are part of the family gathering, contributing to the lively atmosphere and expressing opinions about Scrooge."', 'source_id': 'chunk-773d0df1dd25c356f7b771d780583e09'}> +2024-10-30 06:45:05,976 - lightrag - INFO - _do_upsert:query: + MERGE (n:`SCROOGE'S NIECE'S SISTERS`) + SET n += $properties + RETURN n + :result:{'entity_type': '"PERSON"', 'description': '"Scrooge\'s Niece\'s Sisters are a part of the family gathering, expressing their opinions and adding to the lively atmosphere with their laughter and good humor.""Scrooge\'s Niece\'s Sisters are a part of the family gathering, expressing their opinions and adding to the lively atmosphere with their laughter and good humor.""Scrooge\'s Niece\'s Sisters are a part of the family gathering, expressing their opinions and adding to the lively atmosphere with their laughter and good humor.""Scrooge\'s Niece\'s Sisters are a part of the family gathering, expressing their opinions and adding to the lively atmosphere with their laughter and good humor.""Scrooge\'s Niece\'s Sisters are a part of the family gathering, expressing their opinions and adding to the lively atmosphere with their laughter and good humor.""Scrooge\'s Niece\'s Sisters are part of the family gathering, contributing to the lively atmosphere and expressing opinions about Scrooge."', 'source_id': 'chunk-773d0df1dd25c356f7b771d780583e09'} +2024-10-30 06:45:06,105 - lightrag - INFO - get_node:query:MATCH (n:`THE PLUMP SISTER`) RETURN n:result:"The Plump Sister is a character in the gathering who becomes the focus of Topper\'s playful advances during the games, contributing to the comedic aspects of the gathering.""The Plump Sister is a character in the gathering who becomes the focus of Topper\'s playful advances during the games, contributing to the comedic aspects of the gathering.""The Plump Sister is a character in the gathering who becomes the focus of Topper\'s playful advances during the games, contributing to the comedic aspects of the gathering.""The Plump Sister is depicted in a light-hearted and humorous context, illustrating the fun of Christmas gatherings.""The plump sister is a character involved in the games, specifically blind man\'s-buff, and captures Topper\'s attention during the festivities.""The Plump Sister is one of Scrooge\'s Niece\'s sisters, characterized by her bashfulness and her attempts to maintain decorum amidst the laughter.""The Plump Sister is one of Scrooge\'s Niece\'s sisters, characterized by her bashfulness and her attempts to maintain decorum amidst the laughter.""The Plump Sister is one of Scrooge\'s Niece\'s sisters, characterized by her bashfulness and her attempts to maintain decorum amidst the laughter.""The Plump Sister is one of Scrooge\'s Niece\'s sisters, characterized by her bashfulness and her attempts to maintain decorum amidst the laughter."', 'source_id': 'chunk-43c9bee23adfa77aa9dedd22401bba7dchunk-89777b838d5447c7bd1ec11282c4ee89chunk-773d0df1dd25c356f7b771d780583e09'}> +2024-10-30 06:45:06,235 - lightrag - INFO - _do_upsert:query: + MERGE (n:`THE PLUMP SISTER`) + SET n += $properties + RETURN n + :result:{'entity_type': '"PERSON"', 'description': '"The Plump Sister is a character in the gathering who becomes the focus of Topper\'s playful advances during the games, contributing to the comedic aspects of the gathering.""The Plump Sister is a character in the gathering who becomes the focus of Topper\'s playful advances during the games, contributing to the comedic aspects of the gathering.""The Plump Sister is a character in the gathering who becomes the focus of Topper\'s playful advances during the games, contributing to the comedic aspects of the gathering.""The Plump Sister is a character in the gathering who becomes the focus of Topper\'s playful advances during the games, contributing to the comedic aspects of the gathering.""The Plump Sister is a character in the gathering who becomes the focus of Topper\'s playful advances during the games, contributing to the comedic aspects of the gathering.""The Plump Sister is depicted in a light-hearted and humorous context, illustrating the fun of Christmas gatherings.""The plump sister is a character involved in the games, specifically blind man\'s-buff, and captures Topper\'s attention during the festivities.""The Plump Sister is one of Scrooge\'s Niece\'s sisters, characterized by her bashfulness and her attempts to maintain decorum amidst the laughter.""The Plump Sister is one of Scrooge\'s Niece\'s sisters, characterized by her bashfulness and her attempts to maintain decorum amidst the laughter.""The Plump Sister is one of Scrooge\'s Niece\'s sisters, characterized by her bashfulness and her attempts to maintain decorum amidst the laughter.""The Plump Sister is one of Scrooge\'s Niece\'s sisters, characterized by her bashfulness and her attempts to maintain decorum amidst the laughter.""The Plump Sister is one of Scrooge\'s Niece\'s sisters, characterized by her bashfulness and her attempts to maintain decorum amidst the laughter."', 'source_id': 'chunk-773d0df1dd25c356f7b771d780583e09chunk-43c9bee23adfa77aa9dedd22401bba7dchunk-89777b838d5447c7bd1ec11282c4ee89'} +2024-10-30 06:45:06,360 - lightrag - INFO - get_node:query:MATCH (n:`DINNER`) RETURN n:result: +2024-10-30 06:45:06,488 - lightrag - INFO - _do_upsert:query: + MERGE (n:`DINNER`) + SET n += $properties + RETURN n + :result:{'entity_type': '"EVENT"', 'description': '"Dinner is the festive meal that is shared among the characters, symbolizing the warmth of family and celebration that contrasts with Scrooge\'s isolated demeanor."', 'source_id': 'chunk-773d0df1dd25c356f7b771d780583e09'} +2024-10-30 06:45:06,622 - lightrag - INFO - get_node:query:MATCH (n:`MERRIMENT`) RETURN n:result:"Merriment embodies the joy and celebration associated with the holiday season and the gathering of family and friends in the narrative.""Merriment embodies the joy and celebration associated with the holiday season and the gathering of family and friends in the narrative.""Merriment embodies the joy and celebration associated with the holiday season and the gathering of family and friends in the narrative.""Merriment refers to the joyful and festive atmosphere that the characters aim to create, opposing Scrooge\'s jaded perspective on social gatherings.""Merriment refers to the joyful and festive atmosphere that the characters aim to create, opposing Scrooge\'s jaded perspective on social gatherings.""Merriment refers to the joyful and festive atmosphere that the characters aim to create, opposing Scrooge\'s jaded perspective on social gatherings.""Merriment refers to the joyful and festive atmosphere that the characters aim to create, opposing Scrooge\'s jaded perspective on social gatherings."', 'source_id': 'chunk-e7637ff18c5ded77a68cce0a87883fadchunk-773d0df1dd25c356f7b771d780583e09'}> +2024-10-30 06:45:06,756 - lightrag - INFO - _do_upsert:query: + MERGE (n:`MERRIMENT`) + SET n += $properties + RETURN n + :result:{'entity_type': '"CONCEPT"', 'description': '"Merriment embodies the joy and celebration associated with the holiday season and the gathering of family and friends in the narrative.""Merriment embodies the joy and celebration associated with the holiday season and the gathering of family and friends in the narrative.""Merriment embodies the joy and celebration associated with the holiday season and the gathering of family and friends in the narrative.""Merriment embodies the joy and celebration associated with the holiday season and the gathering of family and friends in the narrative.""Merriment embodies the joy and celebration associated with the holiday season and the gathering of family and friends in the narrative.""Merriment refers to the joyful and festive atmosphere that the characters aim to create, opposing Scrooge\'s jaded perspective on social gatherings.""Merriment refers to the joyful and festive atmosphere that the characters aim to create, opposing Scrooge\'s jaded perspective on social gatherings.""Merriment refers to the joyful and festive atmosphere that the characters aim to create, opposing Scrooge\'s jaded perspective on social gatherings.""Merriment refers to the joyful and festive atmosphere that the characters aim to create, opposing Scrooge\'s jaded perspective on social gatherings.""Merriment refers to the joyful and festive atmosphere that the characters aim to create, opposing Scrooge\'s jaded perspective on social gatherings."', 'source_id': 'chunk-773d0df1dd25c356f7b771d780583e09chunk-e7637ff18c5ded77a68cce0a87883fad'} +2024-10-30 06:45:06,903 - lightrag - INFO - get_node:query:MATCH (n:`BLIND MAN'S BUFF`) RETURN n:result: +2024-10-30 06:45:07,035 - lightrag - INFO - _do_upsert:query: + MERGE (n:`BLIND MAN'S BUFF`) + SET n += $properties + RETURN n + :result:{'entity_type': '"EVENT"', 'description': '"Blind Man\'s Buff is a traditional game played during the gathering, contributing to the festive atmosphere and interactions among the guests."', 'source_id': 'chunk-43c9bee23adfa77aa9dedd22401bba7d'} +2024-10-30 06:45:07,161 - lightrag - INFO - get_node:query:MATCH (n:`FORFEITS`) RETURN n:result:"Forfeits is another social game played by the characters, emphasizing the playful nature of their Christmas celebration.""Forfeits is another social game played by the characters, emphasizing the playful nature of their Christmas celebration.""Forfeits is another social game played by the characters, emphasizing the playful nature of their Christmas celebration.""Forfeits is another social game played by the characters, emphasizing the playful nature of their Christmas celebration."', 'source_id': 'chunk-43c9bee23adfa77aa9dedd22401bba7d'}> +2024-10-30 06:45:07,290 - lightrag - INFO - _do_upsert:query: + MERGE (n:`FORFEITS`) + SET n += $properties + RETURN n + :result:{'entity_type': '"EVENT"', 'description': '"Forfeits is another game played that allows participants to engage in fun activities, emphasizing the spirit of the gathering.""Forfeits is another social game played by the characters, emphasizing the playful nature of their Christmas celebration.""Forfeits is another social game played by the characters, emphasizing the playful nature of their Christmas celebration.""Forfeits is another social game played by the characters, emphasizing the playful nature of their Christmas celebration.""Forfeits is another social game played by the characters, emphasizing the playful nature of their Christmas celebration.""Forfeits is another social game played by the characters, emphasizing the playful nature of their Christmas celebration."', 'source_id': 'chunk-43c9bee23adfa77aa9dedd22401bba7d'} +2024-10-30 06:45:07,416 - lightrag - INFO - get_node:query:MATCH (n:`THE HARP`) RETURN n:result: +2024-10-30 06:45:07,549 - lightrag - INFO - _do_upsert:query: + MERGE (n:`THE HARP`) + SET n += $properties + RETURN n + :result:{'entity_type': '"TECHNOLOGY"', 'description': '"The Harp is a musical instrument played by Scrooge\'s niece, contributing to the evening\'s entertainment and illustrating the family\'s musical talents."', 'source_id': 'chunk-43c9bee23adfa77aa9dedd22401bba7d'} +2024-10-30 06:45:07,673 - lightrag - INFO - get_node:query:MATCH (n:`CHRISTMAS HOLIDAYS`) RETURN n:result:"Christmas Holidays signify a time for celebration, reflection, and reconciliation, playing a critical role in Scrooge\'s transformation.""Christmas Holidays signify a time for celebration, reflection, and reconciliation, playing a critical role in Scrooge\'s transformation.""Christmas Holidays signify a time for celebration, reflection, and reconciliation, playing a critical role in Scrooge\'s transformation.""The Christmas Holidays serve as a crucial backdrop for the narrative, representing themes of generosity, family, and redemption."', 'source_id': 'chunk-e7637ff18c5ded77a68cce0a87883fad'}> +2024-10-30 06:45:07,803 - lightrag - INFO - _do_upsert:query: + MERGE (n:`CHRISTMAS HOLIDAYS`) + SET n += $properties + RETURN n + :result:{'entity_type': '"EVENT"', 'description': '"Christmas Holidays signify a time for celebration, reflection, and reconciliation, playing a critical role in Scrooge\'s transformation.""Christmas Holidays signify a time for celebration, reflection, and reconciliation, playing a critical role in Scrooge\'s transformation.""Christmas Holidays signify a time for celebration, reflection, and reconciliation, playing a critical role in Scrooge\'s transformation.""Christmas Holidays signify a time for celebration, reflection, and reconciliation, playing a critical role in Scrooge\'s transformation.""Christmas Holidays signify a time for celebration, reflection, and reconciliation, playing a critical role in Scrooge\'s transformation.""The Christmas Holidays serve as a crucial backdrop for the narrative, representing themes of generosity, family, and redemption."', 'source_id': 'chunk-e7637ff18c5ded77a68cce0a87883fad'} +2024-10-30 06:45:07,952 - lightrag - INFO - get_node:query:MATCH (n:`IGNORANCE`) RETURN n:result:"Ignorance is personified as a boy that symbolizes the dangers of ignoring social issues and the consequences of a lack of awareness.""Ignorance personifies a societal failing, depicted as a child, warning of the dangers of neglect and moral responsibility.""Ignorance refers to one of the two children presented by the Spirit, symbolizing societal neglect and the consequences of lack of awareness.""Ignorance personifies a societal failing, depicted as a child, warning of the dangers of neglect and moral responsibility.""Ignorance refers to one of the two children presented by the Spirit, symbolizing societal neglect and the consequences of lack of awareness.""Ignorance personifies a societal failing, depicted as a child, warning of the dangers of neglect and moral responsibility.""Ignorance refers to one of the two children presented by the Spirit, symbolizing societal neglect and the consequences of lack of awareness.""Ignorance personifies a societal failing, depicted as a child, warning of the dangers of neglect and moral responsibility.""Ignorance refers to one of the two children presented by the Spirit, symbolizing societal neglect and the consequences of lack of awareness."', 'source_id': 'chunk-e7637ff18c5ded77a68cce0a87883fadchunk-02baee20cc9463dbe08170a8e1043e32'}> +2024-10-30 06:45:08,084 - lightrag - INFO - _do_upsert:query: + MERGE (n:`IGNORANCE`) + SET n += $properties + RETURN n + :result:{'entity_type': '"CONCEPT"', 'description': '"Ignorance is personified as a boy shown to Scrooge by the Spirit, representing a societal issue that appeals for attention and change.""Ignorance is personified as a boy that symbolizes the dangers of ignoring social issues and the consequences of a lack of awareness.""Ignorance personifies a societal failing, depicted as a child, warning of the dangers of neglect and moral responsibility.""Ignorance refers to one of the two children presented by the Spirit, symbolizing societal neglect and the consequences of lack of awareness.""Ignorance personifies a societal failing, depicted as a child, warning of the dangers of neglect and moral responsibility.""Ignorance refers to one of the two children presented by the Spirit, symbolizing societal neglect and the consequences of lack of awareness.""Ignorance personifies a societal failing, depicted as a child, warning of the dangers of neglect and moral responsibility.""Ignorance refers to one of the two children presented by the Spirit, symbolizing societal neglect and the consequences of lack of awareness.""Ignorance personifies a societal failing, depicted as a child, warning of the dangers of neglect and moral responsibility.""Ignorance refers to one of the two children presented by the Spirit, symbolizing societal neglect and the consequences of lack of awareness.""Ignorance personifies a societal failing, depicted as a child, warning of the dangers of neglect and moral responsibility.""Ignorance refers to one of the two children presented by the Spirit, symbolizing societal neglect and the consequences of lack of awareness."', 'source_id': 'chunk-02baee20cc9463dbe08170a8e1043e32chunk-e7637ff18c5ded77a68cce0a87883fad'} +2024-10-30 06:45:08,219 - lightrag - INFO - get_node:query:MATCH (n:`WANT`) RETURN n:result:"Want is represented as the second child shown by the Spirit, symbolizing the dire social conditions and needs of the impoverished.""Want represents another societal failing, portrayed as a girl, symbolizing deprivation and yearning for basic needs.""Want is represented as the second child shown by the Spirit, symbolizing the dire social conditions and needs of the impoverished.""Want represents another societal failing, portrayed as a girl, symbolizing deprivation and yearning for basic needs.""Want is represented as the second child shown by the Spirit, symbolizing the dire social conditions and needs of the impoverished.""Want represents another societal failing, portrayed as a girl, symbolizing deprivation and yearning for basic needs.""Want is represented as the second child shown by the Spirit, symbolizing the dire social conditions and needs of the impoverished.""Want represents another societal failing, portrayed as a girl, symbolizing deprivation and yearning for basic needs."', 'source_id': 'chunk-e7637ff18c5ded77a68cce0a87883fadchunk-02baee20cc9463dbe08170a8e1043e32'}> +2024-10-30 06:45:08,350 - lightrag - INFO - _do_upsert:query: + MERGE (n:`WANT`) + SET n += $properties + RETURN n + :result:{'entity_type': '"CONCEPT"', 'description': '"Want is depicted as a girl, representing the consequences of poverty and desire in society, warning against neglecting these issues.""Want is represented as the second child shown by the Spirit, symbolizing the dire social conditions and needs of the impoverished.""Want represents another societal failing, portrayed as a girl, symbolizing deprivation and yearning for basic needs.""Want is represented as the second child shown by the Spirit, symbolizing the dire social conditions and needs of the impoverished.""Want represents another societal failing, portrayed as a girl, symbolizing deprivation and yearning for basic needs.""Want is represented as the second child shown by the Spirit, symbolizing the dire social conditions and needs of the impoverished.""Want represents another societal failing, portrayed as a girl, symbolizing deprivation and yearning for basic needs.""Want is represented as the second child shown by the Spirit, symbolizing the dire social conditions and needs of the impoverished.""Want represents another societal failing, portrayed as a girl, symbolizing deprivation and yearning for basic needs.""Want is represented as the second child shown by the Spirit, symbolizing the dire social conditions and needs of the impoverished.""Want represents another societal failing, portrayed as a girl, symbolizing deprivation and yearning for basic needs."', 'source_id': 'chunk-02baee20cc9463dbe08170a8e1043e32chunk-e7637ff18c5ded77a68cce0a87883fad'} +2024-10-30 06:45:08,480 - lightrag - INFO - get_node:query:MATCH (n:`ALMS HOUSE`) RETURN n:result: +2024-10-30 06:45:08,615 - lightrag - INFO - _do_upsert:query: + MERGE (n:`ALMS HOUSE`) + SET n += $properties + RETURN n + :result:{'entity_type': '"ORGANIZATION"', 'description': '"Alms House refers to a charitable institution visited by the Spirit, where the poor receive support and care."', 'source_id': 'chunk-e7637ff18c5ded77a68cce0a87883fad'} +2024-10-30 06:45:08,741 - lightrag - INFO - get_node:query:MATCH (n:`HOSPITAL`) RETURN n:result:"Hospital signifies a place of healing and care, visited by the Spirit in the story.""Hospital signifies a place of healing and care, visited by the Spirit in the story.""Hospital signifies a place of healing and care, visited by the Spirit in the story.""The Hospital represents a location of care and compassion, highlighting the human condition and the need for kindness."', 'source_id': 'chunk-e7637ff18c5ded77a68cce0a87883fad'}> +2024-10-30 06:45:08,874 - lightrag - INFO - _do_upsert:query: + MERGE (n:`HOSPITAL`) + SET n += $properties + RETURN n + :result:{'entity_type': '"ORGANIZATION"', 'description': '"Hospital signifies a place of healing and care, visited by the Spirit in the story.""Hospital signifies a place of healing and care, visited by the Spirit in the story.""Hospital signifies a place of healing and care, visited by the Spirit in the story.""Hospital signifies a place of healing and care, visited by the Spirit in the story.""Hospital signifies a place of healing and care, visited by the Spirit in the story.""The Hospital represents a location of care and compassion, highlighting the human condition and the need for kindness."', 'source_id': 'chunk-e7637ff18c5ded77a68cce0a87883fad'} +2024-10-30 06:45:09,002 - lightrag - INFO - get_node:query:MATCH (n:`GAOL`) RETURN n:result:"Gaol refers to a prison, illustrating the theme of social justice and the conditions of the impoverished in society.""Gaol refers to a prison, illustrating the theme of social justice and the conditions of the impoverished in society.""Gaol refers to a prison, illustrating the theme of social justice and the conditions of the impoverished in society.""The Gaol symbolizes imprisonment and despair, representing the societal failings and the need for mercy and understanding."', 'source_id': 'chunk-e7637ff18c5ded77a68cce0a87883fad'}> +2024-10-30 06:45:09,137 - lightrag - INFO - _do_upsert:query: + MERGE (n:`GAOL`) + SET n += $properties + RETURN n + :result:{'entity_type': '"ORGANIZATION"', 'description': '"Gaol refers to a prison, illustrating the theme of social justice and the conditions of the impoverished in society.""Gaol refers to a prison, illustrating the theme of social justice and the conditions of the impoverished in society.""Gaol refers to a prison, illustrating the theme of social justice and the conditions of the impoverished in society.""Gaol refers to a prison, illustrating the theme of social justice and the conditions of the impoverished in society.""Gaol refers to a prison, illustrating the theme of social justice and the conditions of the impoverished in society.""The Gaol symbolizes imprisonment and despair, representing the societal failings and the need for mercy and understanding."', 'source_id': 'chunk-e7637ff18c5ded77a68cce0a87883fad'} +2024-10-30 06:45:09,268 - lightrag - INFO - get_node:query:MATCH (n:`TWELFTH NIGHT`) RETURN n:result: +2024-10-30 06:45:09,395 - lightrag - INFO - _do_upsert:query: + MERGE (n:`TWELFTH NIGHT`) + SET n += $properties + RETURN n + :result:{'entity_type': '"EVENT"', 'description': '"Twelfth Night is a festive occasion celebrated in the story, showcasing family gatherings and merriment during the holiday season."', 'source_id': 'chunk-e7637ff18c5ded77a68cce0a87883fad'} +2024-10-30 06:45:09,521 - lightrag - INFO - get_node:query:MATCH (n:`MULLED WINE`) RETURN n:result:"Mulled Wine is a festive drink mentioned in the context of celebration during the Christmas gathering.""Mulled Wine is a festive drink mentioned in the context of celebration during the Christmas gathering.""Mulled Wine is a festive drink mentioned in the context of celebration during the Christmas gathering.""Mulled Wine symbolizes warmth and cheer, often associated with celebrations during the holiday season, particularly in the context of family gatherings."', 'source_id': 'chunk-e7637ff18c5ded77a68cce0a87883fad'}> +2024-10-30 06:45:09,651 - lightrag - INFO - _do_upsert:query: + MERGE (n:`MULLED WINE`) + SET n += $properties + RETURN n + :result:{'entity_type': '"EVENT"', 'description': '"Mulled Wine is a festive drink mentioned in the context of celebration during the Christmas gathering.""Mulled Wine is a festive drink mentioned in the context of celebration during the Christmas gathering.""Mulled Wine is a festive drink mentioned in the context of celebration during the Christmas gathering.""Mulled Wine is a festive drink mentioned in the context of celebration during the Christmas gathering.""Mulled Wine is a festive drink mentioned in the context of celebration during the Christmas gathering.""Mulled Wine symbolizes warmth and cheer, often associated with celebrations during the holiday season, particularly in the context of family gatherings."', 'source_id': 'chunk-e7637ff18c5ded77a68cce0a87883fad'} +2024-10-30 06:45:09,780 - lightrag - INFO - get_node:query:MATCH (n:`PHANTOM`) RETURN n:result: +2024-10-30 06:45:09,912 - lightrag - INFO - _do_upsert:query: + MERGE (n:`PHANTOM`) + SET n += $properties + RETURN n + :result:{'entity_type': '"ORGANIZATION"', 'description': '"The Phantom is a representation of death and the unknown future, appearing to Scrooge with a mysterious and intimidating presence."', 'source_id': 'chunk-02baee20cc9463dbe08170a8e1043e32'} +2024-10-30 06:45:10,038 - lightrag - INFO - get_node:query:MATCH (n:`BUSINESS MEN`) RETURN n:result: +2024-10-30 06:45:10,172 - lightrag - INFO - _do_upsert:query: + MERGE (n:`BUSINESS MEN`) + SET n += $properties + RETURN n + :result:{'entity_type': '"ORGANIZATION"', 'description': '"The business men are a group discussing Scrooge\'s death, reflecting society\'s indifference and the consequential nature of wealth."', 'source_id': 'chunk-02baee20cc9463dbe08170a8e1043e32'} +2024-10-30 06:45:10,295 - lightrag - INFO - get_node:query:MATCH (n:`THE DEAD MAN`) RETURN n:result:"The Dead man is the subject of discussion among the business men, representing Scrooge himself and the consequences of his life.""The Dead man is the subject of discussion among the business men, representing Scrooge himself and the consequences of his life.""The Dead man is the subject of discussion among the business men, representing Scrooge himself and the consequences of his life.""The Dead man is the subject of discussion among the business men, representing Scrooge himself and the consequences of his life."', 'source_id': 'chunk-60fc063c79fc0d4acc91a57e79de04dcchunk-02baee20cc9463dbe08170a8e1043e32'}> +2024-10-30 06:45:10,423 - lightrag - INFO - _do_upsert:query: + MERGE (n:`THE DEAD MAN`) + SET n += $properties + RETURN n + :result:{'entity_type': '"PERSON"', 'description': '"The Dead Man is mentioned as the previous owner of the items being appraised, embodying the consequences of greed and isolation.""The Dead man is the subject of discussion among the business men, representing Scrooge himself and the consequences of his life.""The Dead man is the subject of discussion among the business men, representing Scrooge himself and the consequences of his life.""The Dead man is the subject of discussion among the business men, representing Scrooge himself and the consequences of his life.""The Dead man is the subject of discussion among the business men, representing Scrooge himself and the consequences of his life.""The Dead man is the subject of discussion among the business men, representing Scrooge himself and the consequences of his life."', 'source_id': 'chunk-60fc063c79fc0d4acc91a57e79de04dcchunk-02baee20cc9463dbe08170a8e1043e32'} +2024-10-30 06:45:10,550 - lightrag - INFO - get_node:query:MATCH (n:`JACOB`) RETURN n:result:"Jacob is Scrooge\'s old partner whose death is acknowledged, influencing Scrooge\'s reflections on his own life and future.""Jacob is Scrooge\'s old partner whose death is acknowledged, influencing Scrooge\'s reflections on his own life and future.""Jacob is Scrooge\'s old partner whose death is acknowledged, influencing Scrooge\'s reflections on his own life and future.""Jacob is referenced as Scrooge\'s old partner, significant for his recent death and the impact of this event on Scrooge\'s reflections."', 'source_id': 'chunk-f1a4fbcf1ed86864b9bfd5e8dba4c683'}> +2024-10-30 06:45:10,681 - lightrag - INFO - _do_upsert:query: + MERGE (n:`JACOB`) + SET n += $properties + RETURN n + :result:{'entity_type': '"PERSON"', 'description': '"Jacob is Scrooge\'s old partner whose death is acknowledged, influencing Scrooge\'s reflections on his own life and future.""Jacob is Scrooge\'s old partner whose death is acknowledged, influencing Scrooge\'s reflections on his own life and future.""Jacob is Scrooge\'s old partner whose death is acknowledged, influencing Scrooge\'s reflections on his own life and future.""Jacob is Scrooge\'s old partner whose death is acknowledged, influencing Scrooge\'s reflections on his own life and future.""Jacob is Scrooge\'s old partner whose death is acknowledged, influencing Scrooge\'s reflections on his own life and future.""Jacob is referenced as Scrooge\'s old partner, significant for his recent death and the impact of this event on Scrooge\'s reflections."', 'source_id': 'chunk-f1a4fbcf1ed86864b9bfd5e8dba4c683'} +2024-10-30 06:45:10,810 - lightrag - INFO - get_node:query:MATCH (n:`THE TOWN`) RETURN n:result: +2024-10-30 06:45:10,948 - lightrag - INFO - _do_upsert:query: + MERGE (n:`THE TOWN`) + SET n += $properties + RETURN n + :result:{'entity_type': '"GEO"', 'description': '"The Town is depicted as an obscure and morally degraded area contrasting with the lively scenes, indicating deep societal issues."', 'source_id': 'chunk-f1a4fbcf1ed86864b9bfd5e8dba4c683'} +2024-10-30 06:45:11,077 - lightrag - INFO - get_node:query:MATCH (n:`THE LOW-BROWED SHOP`) RETURN n:result:"The Low-Browed Shop is a grim establishment in the town dealing in various unwanted goods, representing decay and desperation.""The Low-Browed Shop is a grim establishment in the town dealing in various unwanted goods, representing decay and desperation.""The Low-Browed Shop is a grim establishment in the town dealing in various unwanted goods, representing decay and desperation.""The Low-Browed Shop is a setting that symbolizes neglect and degradation, filled with discarded items and representing societal decay."', 'source_id': 'chunk-f1a4fbcf1ed86864b9bfd5e8dba4c683'}> +2024-10-30 06:45:11,211 - lightrag - INFO - _do_upsert:query: + MERGE (n:`THE LOW-BROWED SHOP`) + SET n += $properties + RETURN n + :result:{'entity_type': '"ORGANIZATION"', 'description': '"The Low-Browed Shop is a grim establishment in the town dealing in various unwanted goods, representing decay and desperation.""The Low-Browed Shop is a grim establishment in the town dealing in various unwanted goods, representing decay and desperation.""The Low-Browed Shop is a grim establishment in the town dealing in various unwanted goods, representing decay and desperation.""The Low-Browed Shop is a grim establishment in the town dealing in various unwanted goods, representing decay and desperation.""The Low-Browed Shop is a grim establishment in the town dealing in various unwanted goods, representing decay and desperation.""The Low-Browed Shop is a setting that symbolizes neglect and degradation, filled with discarded items and representing societal decay."', 'source_id': 'chunk-f1a4fbcf1ed86864b9bfd5e8dba4c683'} +2024-10-30 06:45:11,342 - lightrag - INFO - get_node:query:MATCH (n:`RED-FACED GENTLEMAN`) RETURN n:result: +2024-10-30 06:45:11,480 - lightrag - INFO - _do_upsert:query: + MERGE (n:`RED-FACED GENTLEMAN`) + SET n += $properties + RETURN n + :result:{'entity_type': '"PERSON"', 'description': '"The Red-faced Gentleman is a character who humorously discusses the potential nature of a cheap funeral at the gathering."', 'source_id': 'chunk-f1a4fbcf1ed86864b9bfd5e8dba4c683'} +2024-10-30 06:45:11,604 - lightrag - INFO - get_node:query:MATCH (n:`GENTLEMAN WITH THE EXCRESCENCE`) RETURN n:result: +2024-10-30 06:45:11,737 - lightrag - INFO - _do_upsert:query: + MERGE (n:`GENTLEMAN WITH THE EXCRESCENCE`) + SET n += $properties + RETURN n + :result:{'entity_type': '"PERSON"', 'description': '"The Gentleman with the Excrescence is characterized by a physical trait and provides humorous remarks about attending a funeral."', 'source_id': 'chunk-f1a4fbcf1ed86864b9bfd5e8dba4c683'} +2024-10-30 06:45:11,861 - lightrag - INFO - get_node:query:MATCH (n:`OLD SCRATCH`) RETURN n:result:"Old Scratch is a colloquial term used in reference to the devil, indicating a grim context in discussions about death.""Old Scratch is a colloquial term used in reference to the devil, indicating a grim context in discussions about death.""Old Scratch is a colloquial term used in reference to the devil, indicating a grim context in discussions about death.""Old Scratch is mentioned as a figure related to the conversation, symbolizing mischief and humor."', 'source_id': 'chunk-f1a4fbcf1ed86864b9bfd5e8dba4c683chunk-89777b838d5447c7bd1ec11282c4ee89'}> +2024-10-30 06:45:11,994 - lightrag - INFO - _do_upsert:query: + MERGE (n:`OLD SCRATCH`) + SET n += $properties + RETURN n + :result:{'entity_type': '"CONCEPT"', 'description': '"Old Scratch is a colloquial term used in reference to the devil, indicating a grim context in discussions about death.""Old Scratch is a colloquial term used in reference to the devil, indicating a grim context in discussions about death.""Old Scratch is a colloquial term used in reference to the devil, indicating a grim context in discussions about death.""Old Scratch is a colloquial term used in reference to the devil, indicating a grim context in discussions about death.""Old Scratch is a colloquial term used in reference to the devil, indicating a grim context in discussions about death.""Old Scratch is mentioned as a figure related to the conversation, symbolizing mischief and humor."', 'source_id': 'chunk-f1a4fbcf1ed86864b9bfd5e8dba4c683chunk-89777b838d5447c7bd1ec11282c4ee89'} +2024-10-30 06:45:12,123 - lightrag - INFO - get_node:query:MATCH (n:`THE MEETING`) RETURN n:result: +2024-10-30 06:45:12,257 - lightrag - INFO - _do_upsert:query: + MERGE (n:`THE MEETING`) + SET n += $properties + RETURN n + :result:{'entity_type': '"EVENT"', 'description': '"The Meeting is characterized by light-hearted banter among characters regarding the funeral and their connections to the deceased."', 'source_id': 'chunk-f1a4fbcf1ed86864b9bfd5e8dba4c683'} +2024-10-30 06:45:12,381 - lightrag - INFO - get_node:query:MATCH (n:`THE PHANTOM`) RETURN n:result:"The Phantom represents a ghostly presence guiding Scrooge through reflections on his life and future decisions.""The Phantom represents a ghostly presence guiding Scrooge through reflections on his life and future decisions.""The Phantom represents a ghostly presence guiding Scrooge through reflections on his life and future decisions.""The Phantom represents the supernatural element in Scrooge\'s journey of self-reflection and moral awakening."', 'source_id': 'chunk-f1a4fbcf1ed86864b9bfd5e8dba4c683'}> +2024-10-30 06:45:12,512 - lightrag - INFO - _do_upsert:query: + MERGE (n:`THE PHANTOM`) + SET n += $properties + RETURN n + :result:{'entity_type': '"ORGANIZATION"', 'description': '"The Phantom represents a ghostly presence guiding Scrooge through reflections on his life and future decisions.""The Phantom represents a ghostly presence guiding Scrooge through reflections on his life and future decisions.""The Phantom represents a ghostly presence guiding Scrooge through reflections on his life and future decisions.""The Phantom represents a ghostly presence guiding Scrooge through reflections on his life and future decisions.""The Phantom represents a ghostly presence guiding Scrooge through reflections on his life and future decisions.""The Phantom represents the supernatural element in Scrooge\'s journey of self-reflection and moral awakening."', 'source_id': 'chunk-f1a4fbcf1ed86864b9bfd5e8dba4c683'} +2024-10-30 06:45:12,637 - lightrag - INFO - get_node:query:MATCH (n:`THE QUARTER`) RETURN n:result: +2024-10-30 06:45:12,769 - lightrag - INFO - _do_upsert:query: + MERGE (n:`THE QUARTER`) + SET n += $properties + RETURN n + :result:{'entity_type': '"GEO"', 'description': '"The Quarter is a depiction of an impoverished and crime-ridden area of the town, emphasizing societal neglect."', 'source_id': 'chunk-f1a4fbcf1ed86864b9bfd5e8dba4c683'} +2024-10-30 06:45:12,897 - lightrag - INFO - get_node:query:MATCH (n:`THE COAL SHOP`) RETURN n:result: +2024-10-30 06:45:13,031 - lightrag - INFO - _do_upsert:query: + MERGE (n:`THE COAL SHOP`) + SET n += $properties + RETURN n + :result:{'entity_type': '"ORGANIZATION"', 'description': '"The Coal Shop is a den of lowly transactions that signifies the harsh living conditions experienced by the characters in the quarter."', 'source_id': 'chunk-f1a4fbcf1ed86864b9bfd5e8dba4c683'} +2024-10-30 06:45:13,165 - lightrag - INFO - get_node:query:MATCH (n:`MISCELLANEOUS TATTERS`) RETURN n:result: +2024-10-30 06:45:13,298 - lightrag - INFO - _do_upsert:query: + MERGE (n:`MISCELLANEOUS TATTERS`) + SET n += $properties + RETURN n + :result:{'entity_type': '"CONCEPT"', 'description': '"Miscellaneous Tatters symbolize the shabby and worn conditions surrounding the characters in the Low-Browed Shop."', 'source_id': 'chunk-f1a4fbcf1ed86864b9bfd5e8dba4c683'} +2024-10-30 06:45:13,421 - lightrag - INFO - get_node:query:MATCH (n:`THE CHARCOAL STOVE`) RETURN n:result: +2024-10-30 06:45:13,552 - lightrag - INFO - _do_upsert:query: + MERGE (n:`THE CHARCOAL STOVE`) + SET n += $properties + RETURN n + :result:{'entity_type': '"TECHNOLOGY"', 'description': '"The Charcoal Stove is a humble source of warmth within the Low-Browed Shop, indicative of the bleak environment."', 'source_id': 'chunk-f1a4fbcf1ed86864b9bfd5e8dba4c683'} +2024-10-30 06:45:13,677 - lightrag - INFO - get_node:query:MATCH (n:`OLD JOE`) RETURN n:result:"Old Joe is a grey-haired man who runs a shop where people come to sell their belongings after a death, embodying a rough, pragmatic character.""Old Joe is a grey-haired man who runs a shop where people come to sell their belongings after a death, embodying a rough, pragmatic character.""Old Joe is a grey-haired man who runs a shop where people come to sell their belongings after a death, embodying a rough, pragmatic character.""Old Joe is a grey-haired man, nearly seventy years old, who runs a shop and conducts business in a rather nonchalant manner, showcasing a certain charm amidst his questionable dealings."', 'source_id': 'chunk-60fc063c79fc0d4acc91a57e79de04dc'}> +2024-10-30 06:45:13,807 - lightrag - INFO - _do_upsert:query: + MERGE (n:`OLD JOE`) + SET n += $properties + RETURN n + :result:{'entity_type': '"PERSON"', 'description': '"Old Joe is a grey-haired man who runs a shop where people come to sell their belongings after a death, embodying a rough, pragmatic character.""Old Joe is a grey-haired man who runs a shop where people come to sell their belongings after a death, embodying a rough, pragmatic character.""Old Joe is a grey-haired man who runs a shop where people come to sell their belongings after a death, embodying a rough, pragmatic character.""Old Joe is a grey-haired man who runs a shop where people come to sell their belongings after a death, embodying a rough, pragmatic character.""Old Joe is a grey-haired man who runs a shop where people come to sell their belongings after a death, embodying a rough, pragmatic character.""Old Joe is a grey-haired man, nearly seventy years old, who runs a shop and conducts business in a rather nonchalant manner, showcasing a certain charm amidst his questionable dealings."', 'source_id': 'chunk-60fc063c79fc0d4acc91a57e79de04dc'} +2024-10-30 06:45:13,936 - lightrag - INFO - get_node:query:MATCH (n:`MRS. DILBER`) RETURN n:result:"Mrs. Dilber is a laundress who participates in the gathering, commenting on the morality of their actions with a laugh.""Mrs. Dilber is a laundress who participates in the gathering, commenting on the morality of their actions with a laugh.""Mrs. Dilber is a laundress who participates in the gathering, commenting on the morality of their actions with a laugh.""Mrs. Dilber is a laundress who participates in the gathering, commenting on the morality of their actions with a laugh."', 'source_id': 'chunk-60fc063c79fc0d4acc91a57e79de04dc'}> +2024-10-30 06:45:14,066 - lightrag - INFO - _do_upsert:query: + MERGE (n:`MRS. DILBER`) + SET n += $properties + RETURN n + :result:{'entity_type': '"PERSON"', 'description': '"Mrs. Dilber is a laundress who is involved in the discussion about the belongings they are handling, exhibiting a pragmatic attitude towards the situation.""Mrs. Dilber is a laundress who participates in the gathering, commenting on the morality of their actions with a laugh.""Mrs. Dilber is a laundress who participates in the gathering, commenting on the morality of their actions with a laugh.""Mrs. Dilber is a laundress who participates in the gathering, commenting on the morality of their actions with a laugh.""Mrs. Dilber is a laundress who participates in the gathering, commenting on the morality of their actions with a laugh.""Mrs. Dilber is a laundress who participates in the gathering, commenting on the morality of their actions with a laugh."', 'source_id': 'chunk-60fc063c79fc0d4acc91a57e79de04dc'} +2024-10-30 06:45:14,195 - lightrag - INFO - get_node:query:MATCH (n:`THE MAN IN FADED BLACK`) RETURN n:result: +2024-10-30 06:45:14,330 - lightrag - INFO - _do_upsert:query: + MERGE (n:`THE MAN IN FADED BLACK`) + SET n += $properties + RETURN n + :result:{'entity_type': '"PERSON"', 'description': '"The Man in Faded Black is a character who, echoing the sentiments of the others, reveals his modest haul of stolen goods during the gathering."', 'source_id': 'chunk-60fc063c79fc0d4acc91a57e79de04dc'} +2024-10-30 06:45:14,455 - lightrag - INFO - get_node:query:MATCH (n:`THE SHOP`) RETURN n:result:"The Shop is a setting where characters gather to appraise items they have taken from the deceased, reflecting their attitudes towards death and morality.""The Shop is a setting where characters gather to appraise items they have taken from the deceased, reflecting their attitudes towards death and morality.""The Shop is a setting where characters gather to appraise items they have taken from the deceased, reflecting their attitudes towards death and morality.""The Shop is a setting where characters gather to appraise items they have taken from the deceased, reflecting their attitudes towards death and morality."', 'source_id': 'chunk-60fc063c79fc0d4acc91a57e79de04dc'}> +2024-10-30 06:45:14,587 - lightrag - INFO - _do_upsert:query: + MERGE (n:`THE SHOP`) + SET n += $properties + RETURN n + :result:{'entity_type': '"ORGANIZATION"', 'description': '"The Shop is Old Joe\'s place of business and serves as the meeting location for the characters, where they evaluate and exchange stolen items.""The Shop is a setting where characters gather to appraise items they have taken from the deceased, reflecting their attitudes towards death and morality.""The Shop is a setting where characters gather to appraise items they have taken from the deceased, reflecting their attitudes towards death and morality.""The Shop is a setting where characters gather to appraise items they have taken from the deceased, reflecting their attitudes towards death and morality.""The Shop is a setting where characters gather to appraise items they have taken from the deceased, reflecting their attitudes towards death and morality.""The Shop is a setting where characters gather to appraise items they have taken from the deceased, reflecting their attitudes towards death and morality."', 'source_id': 'chunk-60fc063c79fc0d4acc91a57e79de04dc'} +2024-10-30 06:45:14,713 - lightrag - INFO - get_node:query:MATCH (n:`THE BUNDLE`) RETURN n:result:"The Bundle contains the belongings of the deceased man, which serve as a focal point for discussion among the characters regarding value and morality.""The Bundle contains the belongings of the deceased man, which serve as a focal point for discussion among the characters regarding value and morality.""The Bundle contains the belongings of the deceased man, which serve as a focal point for discussion among the characters regarding value and morality.""The Bundle refers to the collection of stolen items brought by the characters to Old Joe\'s shop for appraisal, symbolizing their actions post-death.""The Bundle refers to the collection of stolen items that the characters present to Old Joe for appraisal.""The Bundle refers to the collection of stolen items brought by the characters to Old Joe\'s shop for appraisal, symbolizing their actions post-death.""The Bundle refers to the collection of stolen items brought by the characters to Old Joe\'s shop for appraisal, symbolizing their actions post-death.""The Bundle refers to the collection of stolen items brought by the characters to Old Joe\'s shop for appraisal, symbolizing their actions post-death."', 'source_id': 'chunk-e1f29eeadc1d8ab46dc8a0bbd3c56b64chunk-60fc063c79fc0d4acc91a57e79de04dc'}> +2024-10-30 06:45:14,843 - lightrag - INFO - _do_upsert:query: + MERGE (n:`THE BUNDLE`) + SET n += $properties + RETURN n + :result:{'entity_type': '"EVENT"', 'description': '"The Bundle contains the belongings of the deceased man, which serve as a focal point for discussion among the characters regarding value and morality.""The Bundle contains the belongings of the deceased man, which serve as a focal point for discussion among the characters regarding value and morality.""The Bundle contains the belongings of the deceased man, which serve as a focal point for discussion among the characters regarding value and morality.""The Bundle contains the belongings of the deceased man, which serve as a focal point for discussion among the characters regarding value and morality.""The Bundle contains the belongings of the deceased man, which serve as a focal point for discussion among the characters regarding value and morality.""The Bundle refers to the collection of stolen items brought by the characters to Old Joe\'s shop for appraisal, symbolizing their actions post-death.""The Bundle refers to the collection of stolen items that the characters present to Old Joe for appraisal.""The Bundle refers to the collection of stolen items brought by the characters to Old Joe\'s shop for appraisal, symbolizing their actions post-death.""The Bundle refers to the collection of stolen items brought by the characters to Old Joe\'s shop for appraisal, symbolizing their actions post-death.""The Bundle refers to the collection of stolen items brought by the characters to Old Joe\'s shop for appraisal, symbolizing their actions post-death.""The Bundle refers to the collection of stolen items brought by the characters to Old Joe\'s shop for appraisal, symbolizing their actions post-death."', 'source_id': 'chunk-e1f29eeadc1d8ab46dc8a0bbd3c56b64chunk-60fc063c79fc0d4acc91a57e79de04dc'} +2024-10-30 06:45:14,975 - lightrag - INFO - get_node:query:MATCH (n:`THE DEATH`) RETURN n:result: +2024-10-30 06:45:15,109 - lightrag - INFO - _do_upsert:query: + MERGE (n:`THE DEATH`) + SET n += $properties + RETURN n + :result:{'entity_type': '"EVENT"', 'description': '"The Death signifies the passing of a man whose belongings are being appraised, influencing the motivations and actions of the characters."', 'source_id': 'chunk-60fc063c79fc0d4acc91a57e79de04dc'} +2024-10-30 06:45:15,231 - lightrag - INFO - get_node:query:MATCH (n:`THE STOLEN GOODS`) RETURN n:result: +2024-10-30 06:45:15,366 - lightrag - INFO - _do_upsert:query: + MERGE (n:`THE STOLEN GOODS`) + SET n += $properties + RETURN n + :result:{'entity_type': '"EVENT"', 'description': '"The Stolen Goods are the items that the characters bring to Old Joe for evaluation, highlighting their moral stance and the circumstances surrounding the death."', 'source_id': 'chunk-60fc063c79fc0d4acc91a57e79de04dc'} +2024-10-30 06:45:15,489 - lightrag - INFO - get_node:query:MATCH (n:`THE ACCUSATION`) RETURN n:result: +2024-10-30 06:45:15,616 - lightrag - INFO - _do_upsert:query: + MERGE (n:`THE ACCUSATION`) + SET n += $properties + RETURN n + :result:{'entity_type': '"EVENT"', 'description': '"The Accusation refers to the implied judgement of the deceased\'s character that the characters discuss while evaluating their actions."', 'source_id': 'chunk-60fc063c79fc0d4acc91a57e79de04dc'} +2024-10-30 06:45:15,741 - lightrag - INFO - get_node:query:MATCH (n:`THE PARLOUR`) RETURN n:result: +2024-10-30 06:45:15,873 - lightrag - INFO - _do_upsert:query: + MERGE (n:`THE PARLOUR`) + SET n += $properties + RETURN n + :result:{'entity_type': '"LOCATION"', 'description': '"The Parlour is the private space behind the shop curtain where the characters engage in conversation and appraisal, symbolizing a shift from public to private."', 'source_id': 'chunk-60fc063c79fc0d4acc91a57e79de04dc'} +2024-10-30 06:45:15,997 - lightrag - INFO - get_node:query:MATCH (n:`THE RAGS`) RETURN n:result: +2024-10-30 06:45:16,130 - lightrag - INFO - _do_upsert:query: + MERGE (n:`THE RAGS`) + SET n += $properties + RETURN n + :result:{'entity_type': '"CONCEPT"', 'description': '"The Rags serve as a metaphor for the characters\' grim circumstances and the societal implications of their gathering, accentuating the theme of decay and neglect."', 'source_id': 'chunk-60fc063c79fc0d4acc91a57e79de04dc'} +2024-10-30 06:45:16,257 - lightrag - INFO - get_node:query:MATCH (n:`THE COLD AIR`) RETURN n:result: +2024-10-30 06:45:16,392 - lightrag - INFO - _do_upsert:query: + MERGE (n:`THE COLD AIR`) + SET n += $properties + RETURN n + :result:{'entity_type': '"CONCEPT"', 'description': '"The Cold Air symbolizes the harsh realities surrounding the characters and their actions, emphasizing the atmosphere of deprivation."', 'source_id': 'chunk-60fc063c79fc0d4acc91a57e79de04dc'} +2024-10-30 06:45:16,516 - lightrag - INFO - get_node:query:MATCH (n:`JUDGMENT`) RETURN n:result: +2024-10-30 06:45:16,646 - lightrag - INFO - _do_upsert:query: + MERGE (n:`JUDGMENT`) + SET n += $properties + RETURN n + :result:{'entity_type': '"CONCEPT"', 'description': '"Judgment here refers to the characters\' reflections on morality regarding their actions after the death, questioning societal norms and individual ethics."', 'source_id': 'chunk-60fc063c79fc0d4acc91a57e79de04dc'} +2024-10-30 06:45:16,776 - lightrag - INFO - get_node:query:MATCH (n:`THE LAUGHTER`) RETURN n:result: +2024-10-30 06:45:16,903 - lightrag - INFO - _do_upsert:query: + MERGE (n:`THE LAUGHTER`) + SET n += $properties + RETURN n + :result:{'entity_type': '"EVENT"', 'description': '"The Laughter represents a shared moment among the characters that highlights their camaraderie in the struggle against their grim realities."', 'source_id': 'chunk-60fc063c79fc0d4acc91a57e79de04dc'} +2024-10-30 06:45:17,032 - lightrag - INFO - get_node:query:MATCH (n:`THE DECEASED MAN`) RETURN n:result: +2024-10-30 06:45:17,162 - lightrag - INFO - _do_upsert:query: + MERGE (n:`THE DECEASED MAN`) + SET n += $properties + RETURN n + :result:{'entity_type': '"PERSON"', 'description': '"The Deceased Man is a character whose belongings are being discussed and whose death prompts reactions of horror and contemplation from Scrooge."', 'source_id': 'chunk-e1f29eeadc1d8ab46dc8a0bbd3c56b64'} +2024-10-30 06:45:17,288 - lightrag - INFO - get_node:query:MATCH (n:`DEATH`) RETURN n:result:"Death is described as a powerful force in the narrative, represented through the imagery of a cold, rigid presence and the contemplation of mortality.""Death refers to the passing of a character that triggers a range of emotions and reflections among the living, influencing their lives and relationships.""Death is depicted as a cold, inevitable force, prompting reflections on the value of life and the consequences of avarice.""Death is depicted as a cold, inevitable force, prompting reflections on the value of life and the consequences of avarice.""Death is depicted as a cold, inevitable force, prompting reflections on the value of life and the consequences of avarice.""Death is depicted as a cold, inevitable force, prompting reflections on the value of life and the consequences of avarice."', 'source_id': 'chunk-83ac129dc9b56f84c46760d153d68e93chunk-e1f29eeadc1d8ab46dc8a0bbd3c56b64chunk-02baee20cc9463dbe08170a8e1043e32'}> +2024-10-30 06:45:17,424 - lightrag - INFO - _do_upsert:query: + MERGE (n:`DEATH`) + SET n += $properties + RETURN n + :result:{'entity_type': '"CONCEPT"', 'description': '"Death in the story is a significant event that triggers discussion among the Businessmen and prompts Scrooge\'s reflections.""Death is described as a powerful force in the narrative, represented through the imagery of a cold, rigid presence and the contemplation of mortality.""Death refers to the passing of a character that triggers a range of emotions and reflections among the living, influencing their lives and relationships.""Death is depicted as a cold, inevitable force, prompting reflections on the value of life and the consequences of avarice.""Death is depicted as a cold, inevitable force, prompting reflections on the value of life and the consequences of avarice.""Death is depicted as a cold, inevitable force, prompting reflections on the value of life and the consequences of avarice.""Death is depicted as a cold, inevitable force, prompting reflections on the value of life and the consequences of avarice.""Death is depicted as a cold, inevitable force, prompting reflections on the value of life and the consequences of avarice."', 'source_id': 'chunk-e1f29eeadc1d8ab46dc8a0bbd3c56b64chunk-83ac129dc9b56f84c46760d153d68e93chunk-02baee20cc9463dbe08170a8e1043e32'} +2024-10-30 06:45:17,550 - lightrag - INFO - get_node:query:MATCH (n:`THE BED`) RETURN n:result:"The Bed represents a significant scene where the deceased man\'s body is laid, evoking deep emotions and realizations about life and morality.""The Bed represents a significant scene where the deceased man\'s body is laid, evoking deep emotions and realizations about life and morality.""The Bed represents a significant scene where the deceased man\'s body is laid, evoking deep emotions and realizations about life and morality.""The Bed represents a significant scene where the deceased man\'s body is laid, evoking deep emotions and realizations about life and morality."', 'source_id': 'chunk-e1f29eeadc1d8ab46dc8a0bbd3c56b64'}> +2024-10-30 06:45:17,677 - lightrag - INFO - _do_upsert:query: + MERGE (n:`THE BED`) + SET n += $properties + RETURN n + :result:{'entity_type': '"EVENT"', 'description': '"The Bed represents a central object in the scene, symbolizing the final resting place of The Deceased and contributing to the themes of mortality and neglect.""The Bed represents a significant scene where the deceased man\'s body is laid, evoking deep emotions and realizations about life and morality.""The Bed represents a significant scene where the deceased man\'s body is laid, evoking deep emotions and realizations about life and morality.""The Bed represents a significant scene where the deceased man\'s body is laid, evoking deep emotions and realizations about life and morality.""The Bed represents a significant scene where the deceased man\'s body is laid, evoking deep emotions and realizations about life and morality.""The Bed represents a significant scene where the deceased man\'s body is laid, evoking deep emotions and realizations about life and morality."', 'source_id': 'chunk-e1f29eeadc1d8ab46dc8a0bbd3c56b64'} +2024-10-30 06:45:17,804 - lightrag - INFO - get_node:query:MATCH (n:`THE BLANKETS`) RETURN n:result:"The Blankets are associated with the deceased man\'s body, symbolizing care and the human connection to the dead.""The Blankets are associated with the deceased man\'s body, symbolizing care and the human connection to the dead.""The Blankets are associated with the deceased man\'s body, symbolizing care and the human connection to the dead.""The Blankets are discussed in the context of the deceased\'s possessions, highlighting themes of care and abandonment after death."', 'source_id': 'chunk-e1f29eeadc1d8ab46dc8a0bbd3c56b64'}> +2024-10-30 06:45:17,941 - lightrag - INFO - _do_upsert:query: + MERGE (n:`THE BLANKETS`) + SET n += $properties + RETURN n + :result:{'entity_type': '"CONCEPT"', 'description': '"The Blankets are associated with the deceased man\'s body, symbolizing care and the human connection to the dead.""The Blankets are associated with the deceased man\'s body, symbolizing care and the human connection to the dead.""The Blankets are associated with the deceased man\'s body, symbolizing care and the human connection to the dead.""The Blankets are associated with the deceased man\'s body, symbolizing care and the human connection to the dead.""The Blankets are associated with the deceased man\'s body, symbolizing care and the human connection to the dead.""The Blankets are discussed in the context of the deceased\'s possessions, highlighting themes of care and abandonment after death."', 'source_id': 'chunk-e1f29eeadc1d8ab46dc8a0bbd3c56b64'} +2024-10-30 06:45:18,075 - lightrag - INFO - get_node:query:MATCH (n:`THE OIL`) RETURN n:result: +2024-10-30 06:45:18,207 - lightrag - INFO - _do_upsert:query: + MERGE (n:`THE OIL`) + SET n += $properties + RETURN n + :result:{'entity_type': '"CONCEPT"', 'description': '"The Oil is a material that the woman is cautious about spilling, representing the practical and sometimes distasteful attitude towards the deceased\'s belongings."', 'source_id': 'chunk-e1f29eeadc1d8ab46dc8a0bbd3c56b64'} +2024-10-30 06:45:18,340 - lightrag - INFO - get_node:query:MATCH (n:`THE SHIRT`) RETURN n:result: +2024-10-30 06:45:18,473 - lightrag - INFO - _do_upsert:query: + MERGE (n:`THE SHIRT`) + SET n += $properties + RETURN n + :result:{'entity_type': '"CONCEPT"', 'description': '"The Shirt belonged to the deceased man and is evaluated by the woman who claims it is in good condition, further emphasizing her pragmatic approach to death."', 'source_id': 'chunk-e1f29eeadc1d8ab46dc8a0bbd3c56b64'} +2024-10-30 06:45:18,599 - lightrag - INFO - get_node:query:MATCH (n:`THE FLANNEL BAG`) RETURN n:result:"The Flannel Bag is used by Joe to show the money gained from their dealings with the deceased, highlighting the theme of profit from death.""The Flannel Bag is used by Joe to show the money gained from their dealings with the deceased, highlighting the theme of profit from death.""The Flannel Bag is used by Joe to show the money gained from their dealings with the deceased, highlighting the theme of profit from death.""The Flannel Bag is used by Joe to show the money gained from their dealings with the deceased, highlighting the theme of profit from death."', 'source_id': 'chunk-e1f29eeadc1d8ab46dc8a0bbd3c56b64'}> +2024-10-30 06:45:18,733 - lightrag - INFO - _do_upsert:query: + MERGE (n:`THE FLANNEL BAG`) + SET n += $properties + RETURN n + :result:{'entity_type': '"CONCEPT"', 'description': '"The Flannel Bag contains money and symbolizes the materialistic aspects of life and the relationships surrounding The Deceased’s possessions.""The Flannel Bag is used by Joe to show the money gained from their dealings with the deceased, highlighting the theme of profit from death.""The Flannel Bag is used by Joe to show the money gained from their dealings with the deceased, highlighting the theme of profit from death.""The Flannel Bag is used by Joe to show the money gained from their dealings with the deceased, highlighting the theme of profit from death.""The Flannel Bag is used by Joe to show the money gained from their dealings with the deceased, highlighting the theme of profit from death.""The Flannel Bag is used by Joe to show the money gained from their dealings with the deceased, highlighting the theme of profit from death."', 'source_id': 'chunk-e1f29eeadc1d8ab46dc8a0bbd3c56b64'} +2024-10-30 06:45:18,858 - lightrag - INFO - get_node:query:MATCH (n:`OLD MAN'S LAMP`) RETURN n:result: +2024-10-30 06:45:18,993 - lightrag - INFO - _do_upsert:query: + MERGE (n:`OLD MAN'S LAMP`) + SET n += $properties + RETURN n + :result:{'entity_type': '"CONCEPT"', 'description': '"The Old Man\'s Lamp provides scant light in the scene, contributing to the mood of tension and eeriness surrounding the deceased."', 'source_id': 'chunk-e1f29eeadc1d8ab46dc8a0bbd3c56b64'} +2024-10-30 06:45:19,121 - lightrag - INFO - get_node:query:MATCH (n:`THE CORPSE`) RETURN n:result: +2024-10-30 06:45:19,256 - lightrag - INFO - _do_upsert:query: + MERGE (n:`THE CORPSE`) + SET n += $properties + RETURN n + :result:{'entity_type': '"PERSON"', 'description': '"The Corpse represents the deceased man whose belongings are being discussed, serving as a stark reminder of mortality."', 'source_id': 'chunk-e1f29eeadc1d8ab46dc8a0bbd3c56b64'} +2024-10-30 06:45:19,385 - lightrag - INFO - get_node:query:MATCH (n:`THE DARK ROOM`) RETURN n:result:"The Dark Room is where the corpse lies, symbolizing isolation and the lack of care for the deceased.""The Dark Room is where the corpse lies, symbolizing isolation and the lack of care for the deceased.""The Dark Room is where the corpse lies, symbolizing isolation and the lack of care for the deceased.""The Dark Room serves as the setting for the scene, enhancing the atmosphere of dread and the theme of impending death."', 'source_id': 'chunk-e1f29eeadc1d8ab46dc8a0bbd3c56b64'}> +2024-10-30 06:45:19,516 - lightrag - INFO - _do_upsert:query: + MERGE (n:`THE DARK ROOM`) + SET n += $properties + RETURN n + :result:{'entity_type': '"GEO"', 'description': '"The Dark Room is where the corpse lies, symbolizing isolation and the lack of care for the deceased.""The Dark Room is where the corpse lies, symbolizing isolation and the lack of care for the deceased.""The Dark Room is where the corpse lies, symbolizing isolation and the lack of care for the deceased.""The Dark Room is where the corpse lies, symbolizing isolation and the lack of care for the deceased.""The Dark Room is where the corpse lies, symbolizing isolation and the lack of care for the deceased.""The Dark Room serves as the setting for the scene, enhancing the atmosphere of dread and the theme of impending death."', 'source_id': 'chunk-e1f29eeadc1d8ab46dc8a0bbd3c56b64'} +2024-10-30 06:45:19,644 - lightrag - INFO - get_node:query:MATCH (n:`CAROLINE`) RETURN n:result:"Caroline is portrayed as a mother filled with hope and emotion regarding her husband’s situation, revealing her character through her reactions to news.""Caroline is portrayed as a mother filled with hope and emotion regarding her husband’s situation, revealing her character through her reactions to news.""Caroline is portrayed as a mother filled with hope and emotion regarding her husband’s situation, revealing her character through her reactions to news.""Caroline is portrayed as a mother filled with hope and emotion regarding her husband’s situation, revealing her character through her reactions to news."', 'source_id': 'chunk-83ac129dc9b56f84c46760d153d68e93'}> +2024-10-30 06:45:19,778 - lightrag - INFO - _do_upsert:query: + MERGE (n:`CAROLINE`) + SET n += $properties + RETURN n + :result:{'entity_type': '"PERSON"', 'description': '"Caroline is a character representing hope and emotional depth, reacting to her husband\'s news about their financial situation with a mixture of dread and optimism.""Caroline is portrayed as a mother filled with hope and emotion regarding her husband’s situation, revealing her character through her reactions to news.""Caroline is portrayed as a mother filled with hope and emotion regarding her husband’s situation, revealing her character through her reactions to news.""Caroline is portrayed as a mother filled with hope and emotion regarding her husband’s situation, revealing her character through her reactions to news.""Caroline is portrayed as a mother filled with hope and emotion regarding her husband’s situation, revealing her character through her reactions to news.""Caroline is portrayed as a mother filled with hope and emotion regarding her husband’s situation, revealing her character through her reactions to news."', 'source_id': 'chunk-83ac129dc9b56f84c46760d153d68e93'} +2024-10-30 06:45:19,906 - lightrag - INFO - get_node:query:MATCH (n:`THE CRATCHIT HOUSE`) RETURN n:result: +2024-10-30 06:45:20,041 - lightrag - INFO - _do_upsert:query: + MERGE (n:`THE CRATCHIT HOUSE`) + SET n += $properties + RETURN n + :result:{'entity_type': '"ORGANIZATION"', 'description': '"The Cratchit House symbolizes a place of familial connection and warmth, despite the hardships faced by its inhabitants."', 'source_id': 'chunk-83ac129dc9b56f84c46760d153d68e93'} +2024-10-30 06:45:20,166 - lightrag - INFO - get_node:query:MATCH (n:`THE EVENT OF DEATH`) RETURN n:result: +2024-10-30 06:45:20,298 - lightrag - INFO - _do_upsert:query: + MERGE (n:`THE EVENT OF DEATH`) + SET n += $properties + RETURN n + :result:{'entity_type': '"EVENT"', 'description': '"The Event of Death signifies a pivotal moment affecting the characters, transitioning their emotional state and family dynamics."', 'source_id': 'chunk-83ac129dc9b56f84c46760d153d68e93'} +2024-10-30 06:45:20,426 - lightrag - INFO - get_node:query:MATCH (n:`THE HUSBAND`) RETURN n:result: +2024-10-30 06:45:20,556 - lightrag - INFO - _do_upsert:query: + MERGE (n:`THE HUSBAND`) + SET n += $properties + RETURN n + :result:{'entity_type': '"PERSON"', 'description': '"The Husband is depicted as a careworn man, bringing news that impacts his family\'s emotional state, symbolizing the struggle between hope and despair."', 'source_id': 'chunk-83ac129dc9b56f84c46760d153d68e93'} +2024-10-30 06:45:20,678 - lightrag - INFO - get_node:query:MATCH (n:`PETER`) RETURN n:result:"Peter is one of the Cratchit children, who occasionally expresses a sense of duty and future aspirations, contributing to family discussions.""Peter is a son in the Cratchit family, responsible and calm, attempting to engage his siblings amidst a tense family situation and financial uncertainty.""Peter is the son of Bob and Mrs. Cratchit, showing concern and support for his father and siblings.""Peter is a son in the Cratchit family, responsible and calm, attempting to engage his siblings amidst a tense family situation and financial uncertainty.""Peter is the son of Bob and Mrs. Cratchit, showing concern and support for his father and siblings.""Peter is a son in the Cratchit family, responsible and calm, attempting to engage his siblings amidst a tense family situation and financial uncertainty.""Peter is the son of Bob and Mrs. Cratchit, showing concern and support for his father and siblings.""Peter is a son in the Cratchit family, responsible and calm, attempting to engage his siblings amidst a tense family situation and financial uncertainty.""Peter is the son of Bob and Mrs. Cratchit, showing concern and support for his father and siblings."', 'source_id': 'chunk-1d4b58de5429cd1261370c231c8673e8chunk-83ac129dc9b56f84c46760d153d68e93'}> +2024-10-30 06:45:20,809 - lightrag - INFO - _do_upsert:query: + MERGE (n:`PETER`) + SET n += $properties + RETURN n + :result:{'entity_type': '"PERSON"', 'description': '"Peter is a member of the Cratchit family, characterized by his quiet demeanor while being engaged in reading, representing the next generation\'s concern.""Peter is one of the Cratchit children, who occasionally expresses a sense of duty and future aspirations, contributing to family discussions.""Peter is a son in the Cratchit family, responsible and calm, attempting to engage his siblings amidst a tense family situation and financial uncertainty.""Peter is the son of Bob and Mrs. Cratchit, showing concern and support for his father and siblings.""Peter is a son in the Cratchit family, responsible and calm, attempting to engage his siblings amidst a tense family situation and financial uncertainty.""Peter is the son of Bob and Mrs. Cratchit, showing concern and support for his father and siblings.""Peter is a son in the Cratchit family, responsible and calm, attempting to engage his siblings amidst a tense family situation and financial uncertainty.""Peter is the son of Bob and Mrs. Cratchit, showing concern and support for his father and siblings.""Peter is a son in the Cratchit family, responsible and calm, attempting to engage his siblings amidst a tense family situation and financial uncertainty.""Peter is the son of Bob and Mrs. Cratchit, showing concern and support for his father and siblings.""Peter is a son in the Cratchit family, responsible and calm, attempting to engage his siblings amidst a tense family situation and financial uncertainty.""Peter is the son of Bob and Mrs. Cratchit, showing concern and support for his father and siblings."', 'source_id': 'chunk-83ac129dc9b56f84c46760d153d68e93chunk-1d4b58de5429cd1261370c231c8673e8'} +2024-10-30 06:45:20,945 - lightrag - INFO - get_node:query:MATCH (n:`THE DEBT`) RETURN n:result: +2024-10-30 06:45:21,077 - lightrag - INFO - _do_upsert:query: + MERGE (n:`THE DEBT`) + SET n += $properties + RETURN n + :result:{'entity_type': '"CONCEPT"', 'description': '"The Debt symbolizes the financial burdens faced by the Cratchit family, a source of anxiety and tension impacting their morale and outlook."', 'source_id': 'chunk-83ac129dc9b56f84c46760d153d68e93'} +2024-10-30 06:45:21,207 - lightrag - INFO - get_node:query:MATCH (n:`MR. SCROOGE'S NEPHEW`) RETURN n:result:"Mr. Scrooge\'s Nephew is a kind gentleman who expresses sympathy for Bob Cratchit and offers help, reflecting goodwill.""Mr. Scrooge\'s Nephew is a kind gentleman who expresses sympathy for Bob Cratchit and offers help, reflecting goodwill.""Mr. Scrooge\'s Nephew is a kind gentleman who expresses sympathy for Bob Cratchit and offers help, reflecting goodwill.""Mr. Scrooge\'s Nephew is a kind gentleman who shows concern for Bob Cratchit and offers support, symbolizing generosity and compassion."', 'source_id': 'chunk-1d4b58de5429cd1261370c231c8673e8'}> +2024-10-30 06:45:21,340 - lightrag - INFO - _do_upsert:query: + MERGE (n:`MR. SCROOGE'S NEPHEW`) + SET n += $properties + RETURN n + :result:{'entity_type': '"PERSON"', 'description': '"Mr. Scrooge\'s Nephew is a kind gentleman who expresses sympathy for Bob Cratchit and offers help, reflecting goodwill.""Mr. Scrooge\'s Nephew is a kind gentleman who expresses sympathy for Bob Cratchit and offers help, reflecting goodwill.""Mr. Scrooge\'s Nephew is a kind gentleman who expresses sympathy for Bob Cratchit and offers help, reflecting goodwill.""Mr. Scrooge\'s Nephew is a kind gentleman who expresses sympathy for Bob Cratchit and offers help, reflecting goodwill.""Mr. Scrooge\'s Nephew is a kind gentleman who expresses sympathy for Bob Cratchit and offers help, reflecting goodwill.""Mr. Scrooge\'s Nephew is a kind gentleman who shows concern for Bob Cratchit and offers support, symbolizing generosity and compassion."', 'source_id': 'chunk-1d4b58de5429cd1261370c231c8673e8'} +2024-10-30 06:45:21,473 - lightrag - INFO - get_node:query:MATCH (n:`THE TWO YOUNG CRATCHITS`) RETURN n:result:"The Two Young Cratchits are siblings who show affection for their father, demonstrating the innocence and unity of childhood.""The Two Young Cratchits are siblings who show affection for their father, demonstrating the innocence and unity of childhood.""The Two Young Cratchits are siblings who show affection for their father, demonstrating the innocence and unity of childhood.""The Two Young Cratchits are the younger children in the Cratchit family, who express affection towards their father, Bob."', 'source_id': 'chunk-1d4b58de5429cd1261370c231c8673e8'}> +2024-10-30 06:45:21,605 - lightrag - INFO - _do_upsert:query: + MERGE (n:`THE TWO YOUNG CRATCHITS`) + SET n += $properties + RETURN n + :result:{'entity_type': '"PERSON"', 'description': '"The Two Young Cratchits are siblings who show affection for their father, demonstrating the innocence and unity of childhood.""The Two Young Cratchits are siblings who show affection for their father, demonstrating the innocence and unity of childhood.""The Two Young Cratchits are siblings who show affection for their father, demonstrating the innocence and unity of childhood.""The Two Young Cratchits are siblings who show affection for their father, demonstrating the innocence and unity of childhood.""The Two Young Cratchits are siblings who show affection for their father, demonstrating the innocence and unity of childhood.""The Two Young Cratchits are the younger children in the Cratchit family, who express affection towards their father, Bob."', 'source_id': 'chunk-1d4b58de5429cd1261370c231c8673e8'} +2024-10-30 06:45:21,732 - lightrag - INFO - get_node:query:MATCH (n:`THE TABLE`) RETURN n:result: +2024-10-30 06:45:21,863 - lightrag - INFO - _do_upsert:query: + MERGE (n:`THE TABLE`) + SET n += $properties + RETURN n + :result:{'entity_type': '"GEO"', 'description': '"The Table is where the Cratchit family gathers, representing their domestic life and togetherness."', 'source_id': 'chunk-1d4b58de5429cd1261370c231c8673e8'} +2024-10-30 06:45:21,991 - lightrag - INFO - get_node:query:MATCH (n:`THE ROOM ABOVE`) RETURN n:result: +2024-10-30 06:45:22,125 - lightrag - INFO - _do_upsert:query: + MERGE (n:`THE ROOM ABOVE`) + SET n += $properties + RETURN n + :result:{'entity_type': '"GEO"', 'description': '"The Room Above is a space in the Cratchit household which is illuminated cheerfully, suggesting a haven despite their hardships."', 'source_id': 'chunk-1d4b58de5429cd1261370c231c8673e8'} +2024-10-30 06:45:22,249 - lightrag - INFO - get_node:query:MATCH (n:`THE GHOST OF CHRISTMAS YET TO COME`) RETURN n:result:"The Ghost of Christmas Yet to Come is a spirit that shows Scrooge the consequences of his actions, pointing toward his eventual demise.""The Ghost of Christmas Yet to Come reveals the potential consequences of Scrooge\'s current life choices, emphasizing themes of mortality and legacy.""The Ghost of Christmas Yet to Come is a spirit that shows Scrooge the consequences of his actions, pointing toward his eventual demise.""The Ghost of Christmas Yet to Come reveals the potential consequences of Scrooge\'s current life choices, emphasizing themes of mortality and legacy.""The Ghost of Christmas Yet to Come is a spirit that shows Scrooge the consequences of his actions, pointing toward his eventual demise.""The Ghost of Christmas Yet to Come reveals the potential consequences of Scrooge\'s current life choices, emphasizing themes of mortality and legacy.""The Ghost of Christmas Yet to Come is a spirit that shows Scrooge the consequences of his actions, pointing toward his eventual demise.""The Ghost of Christmas Yet to Come reveals the potential consequences of Scrooge\'s current life choices, emphasizing themes of mortality and legacy."', 'source_id': 'chunk-90b95db5c53e4364a6bee36b7aa4d70fchunk-91572b3cd42786ba4cb2f180ca25cbf4'}> +2024-10-30 06:45:22,383 - lightrag - INFO - _do_upsert:query: + MERGE (n:`THE GHOST OF CHRISTMAS YET TO COME`) + SET n += $properties + RETURN n + :result:{'entity_type': '"ORGANIZATION"', 'description': '"The Ghost of Christmas Yet to Come is a spectral being that guides Scrooge through visions of his potential future.""The Ghost of Christmas Yet to Come is a spirit that shows Scrooge the consequences of his actions, pointing toward his eventual demise.""The Ghost of Christmas Yet to Come reveals the potential consequences of Scrooge\'s current life choices, emphasizing themes of mortality and legacy.""The Ghost of Christmas Yet to Come is a spirit that shows Scrooge the consequences of his actions, pointing toward his eventual demise.""The Ghost of Christmas Yet to Come reveals the potential consequences of Scrooge\'s current life choices, emphasizing themes of mortality and legacy.""The Ghost of Christmas Yet to Come is a spirit that shows Scrooge the consequences of his actions, pointing toward his eventual demise.""The Ghost of Christmas Yet to Come reveals the potential consequences of Scrooge\'s current life choices, emphasizing themes of mortality and legacy.""The Ghost of Christmas Yet to Come is a spirit that shows Scrooge the consequences of his actions, pointing toward his eventual demise.""The Ghost of Christmas Yet to Come reveals the potential consequences of Scrooge\'s current life choices, emphasizing themes of mortality and legacy.""The Ghost of Christmas Yet to Come is a spirit that shows Scrooge the consequences of his actions, pointing toward his eventual demise.""The Ghost of Christmas Yet to Come reveals the potential consequences of Scrooge\'s current life choices, emphasizing themes of mortality and legacy."', 'source_id': 'chunk-91572b3cd42786ba4cb2f180ca25cbf4chunk-90b95db5c53e4364a6bee36b7aa4d70f'} +2024-10-30 06:45:22,516 - lightrag - INFO - get_node:query:MATCH (n:`GRAVE`) RETURN n:result: +2024-10-30 06:45:22,648 - lightrag - INFO - _do_upsert:query: + MERGE (n:`GRAVE`) + SET n += $properties + RETURN n + :result:{'entity_type': '"GEO"', 'description': '"The Grave represents a place where Scrooge\'s future self lies, symbolizing death and the consequences of a life unexamined."', 'source_id': 'chunk-91572b3cd42786ba4cb2f180ca25cbf4'} +2024-10-30 06:45:22,771 - lightrag - INFO - get_node:query:MATCH (n:`THE GRAVESTONE`) RETURN n:result: +2024-10-30 06:45:22,900 - lightrag - INFO - _do_upsert:query: + MERGE (n:`THE GRAVESTONE`) + SET n += $properties + RETURN n + :result:{'entity_type': '"GEO"', 'description': '"The Gravestone bears Scrooge\'s name and symbolizes mortality and the legacy of his actions during his lifetime."', 'source_id': 'chunk-91572b3cd42786ba4cb2f180ca25cbf4'} +2024-10-30 06:45:23,025 - lightrag - INFO - get_node:query:MATCH (n:`THE FUTURE`) RETURN n:result:"The Future represents the potential outcomes of Scrooge’s life choices, depicted through the visions shown by the Spirits.""The Future refers to the outcomes that Scrooge may face based on his current actions, raising themes of choice and consequence.""The Future refers to the outcomes that Scrooge may face based on his current actions, raising themes of choice and consequence.""The Future refers to the outcomes that Scrooge may face based on his current actions, raising themes of choice and consequence.""The Future refers to the outcomes that Scrooge may face based on his current actions, raising themes of choice and consequence."', 'source_id': 'chunk-91572b3cd42786ba4cb2f180ca25cbf4chunk-02baee20cc9463dbe08170a8e1043e32'}> +2024-10-30 06:45:23,161 - lightrag - INFO - _do_upsert:query: + MERGE (n:`THE FUTURE`) + SET n += $properties + RETURN n + :result:{'entity_type': '"CONCEPT"', 'description': '"The Future is represented as a realm of possibility and consequence that concerns Scrooge\'s fate and choices.""The Future represents the potential outcomes of Scrooge’s life choices, depicted through the visions shown by the Spirits.""The Future refers to the outcomes that Scrooge may face based on his current actions, raising themes of choice and consequence.""The Future refers to the outcomes that Scrooge may face based on his current actions, raising themes of choice and consequence.""The Future refers to the outcomes that Scrooge may face based on his current actions, raising themes of choice and consequence.""The Future refers to the outcomes that Scrooge may face based on his current actions, raising themes of choice and consequence.""The Future refers to the outcomes that Scrooge may face based on his current actions, raising themes of choice and consequence."', 'source_id': 'chunk-91572b3cd42786ba4cb2f180ca25cbf4chunk-02baee20cc9463dbe08170a8e1043e32'} +2024-10-30 06:45:23,290 - lightrag - INFO - get_node:query:MATCH (n:`THE PAST`) RETURN n:result:"The Past reflects on Scrooge\'s earlier life choices and experiences that shaped who he has become.""The Past reflects on Scrooge\'s earlier life choices and experiences that shaped who he has become.""The Past reflects on Scrooge\'s earlier life choices and experiences that shaped who he has become.""The Past reflects on Scrooge\'s earlier life choices and experiences that shaped who he has become."', 'source_id': 'chunk-91572b3cd42786ba4cb2f180ca25cbf4'}> +2024-10-30 06:45:23,425 - lightrag - INFO - _do_upsert:query: + MERGE (n:`THE PAST`) + SET n += $properties + RETURN n + :result:{'entity_type': '"CONCEPT"', 'description': '"The Past is a concept that reflects Scrooge\'s memories and previous actions that influence his current state and future decisions.""The Past reflects on Scrooge\'s earlier life choices and experiences that shaped who he has become.""The Past reflects on Scrooge\'s earlier life choices and experiences that shaped who he has become.""The Past reflects on Scrooge\'s earlier life choices and experiences that shaped who he has become.""The Past reflects on Scrooge\'s earlier life choices and experiences that shaped who he has become.""The Past reflects on Scrooge\'s earlier life choices and experiences that shaped who he has become."', 'source_id': 'chunk-91572b3cd42786ba4cb2f180ca25cbf4'} +2024-10-30 06:45:23,555 - lightrag - INFO - get_node:query:MATCH (n:`THE PRESENT`) RETURN n:result:"The Present emphasizes the importance of living in the moment and embracing current opportunities for change.""The Present emphasizes the importance of living in the moment and embracing current opportunities for change.""The Present emphasizes the importance of living in the moment and embracing current opportunities for change.""The Present represents the current moment in Scrooge\'s life that he must recognize and change to achieve redemption."', 'source_id': 'chunk-91572b3cd42786ba4cb2f180ca25cbf4'}> +2024-10-30 06:45:23,683 - lightrag - INFO - _do_upsert:query: + MERGE (n:`THE PRESENT`) + SET n += $properties + RETURN n + :result:{'entity_type': '"CONCEPT"', 'description': '"The Present emphasizes the importance of living in the moment and embracing current opportunities for change.""The Present emphasizes the importance of living in the moment and embracing current opportunities for change.""The Present emphasizes the importance of living in the moment and embracing current opportunities for change.""The Present emphasizes the importance of living in the moment and embracing current opportunities for change.""The Present emphasizes the importance of living in the moment and embracing current opportunities for change.""The Present represents the current moment in Scrooge\'s life that he must recognize and change to achieve redemption."', 'source_id': 'chunk-91572b3cd42786ba4cb2f180ca25cbf4'} +2024-10-30 06:45:23,808 - lightrag - INFO - get_node:query:MATCH (n:`THE POULTERER'S`) RETURN n:result:"The Poulterer\'s is a shop mentioned by Scrooge, relevant in the context of his generous actions towards the Cratchit family.""The Poulterer\'s is a shop mentioned by Scrooge, relevant in the context of his generous actions towards the Cratchit family.""The Poulterer\'s is a shop mentioned by Scrooge, relevant in the context of his generous actions towards the Cratchit family.""The Poulterer\'s is a shop where Scrooge intends to buy a turkey for the Cratchit family."', 'source_id': 'chunk-90b95db5c53e4364a6bee36b7aa4d70f'}> +2024-10-30 06:45:23,938 - lightrag - INFO - _do_upsert:query: + MERGE (n:`THE POULTERER'S`) + SET n += $properties + RETURN n + :result:{'entity_type': '"ORGANIZATION"', 'description': '"The Poulterer\'s is a shop mentioned by Scrooge, relevant in the context of his generous actions towards the Cratchit family.""The Poulterer\'s is a shop mentioned by Scrooge, relevant in the context of his generous actions towards the Cratchit family.""The Poulterer\'s is a shop mentioned by Scrooge, relevant in the context of his generous actions towards the Cratchit family.""The Poulterer\'s is a shop mentioned by Scrooge, relevant in the context of his generous actions towards the Cratchit family.""The Poulterer\'s is a shop mentioned by Scrooge, relevant in the context of his generous actions towards the Cratchit family.""The Poulterer\'s is a shop where Scrooge intends to buy a turkey for the Cratchit family."', 'source_id': 'chunk-90b95db5c53e4364a6bee36b7aa4d70f'} +2024-10-30 06:45:24,065 - lightrag - INFO - get_node:query:MATCH (n:`THE SPIRITS`) RETURN n:result:"The Spirits represent the past, present, and future in Scrooge\'s life, guiding him toward redemption and self-reflection.""The Spirits represent the forces that guide Scrooge towards his transformation and are instrumental in his journey of redemption.""The Spirits represent the forces that guide Scrooge towards his transformation and are instrumental in his journey of redemption.""The Spirits represent the forces that guide Scrooge towards his transformation and are instrumental in his journey of redemption.""The Spirits represent the forces that guide Scrooge towards his transformation and are instrumental in his journey of redemption."', 'source_id': 'chunk-cb661c37436355ccec2769b1d0350c5fchunk-90b95db5c53e4364a6bee36b7aa4d70f'}> +2024-10-30 06:45:24,196 - lightrag - INFO - _do_upsert:query: + MERGE (n:`THE SPIRITS`) + SET n += $properties + RETURN n + :result:{'entity_type': '"CONCEPT"', 'description': '"The Spirits collectively represent the supernatural forces that seek to guide and teach Scrooge about the impact of his life choices.""The Spirits represent the past, present, and future in Scrooge\'s life, guiding him toward redemption and self-reflection.""The Spirits represent the forces that guide Scrooge towards his transformation and are instrumental in his journey of redemption.""The Spirits represent the forces that guide Scrooge towards his transformation and are instrumental in his journey of redemption.""The Spirits represent the forces that guide Scrooge towards his transformation and are instrumental in his journey of redemption.""The Spirits represent the forces that guide Scrooge towards his transformation and are instrumental in his journey of redemption.""The Spirits represent the forces that guide Scrooge towards his transformation and are instrumental in his journey of redemption."', 'source_id': 'chunk-cb661c37436355ccec2769b1d0350c5fchunk-90b95db5c53e4364a6bee36b7aa4d70f'} +2024-10-30 06:45:24,324 - lightrag - INFO - get_node:query:MATCH (n:`THE GHOST OF CHRISTMAS PRESENT`) RETURN n:result:"The Ghost of Christmas Present is a supernatural being that shows Scrooge the true spirit of Christmas, including kindness towards the poor.""The Ghost of Christmas Present signifies abundance and the spirit of joy that Scrooge is encouraged to embrace.""The Ghost of Christmas Present is one of the spirits that help Scrooge understand the importance of generosity and compassion during the festive season.""The Ghost of Christmas Present is one of the spirits that help Scrooge understand the importance of generosity and compassion during the festive season.""The Ghost of Christmas Present is one of the spirits that help Scrooge understand the importance of generosity and compassion during the festive season.""The Ghost of Christmas Present is one of the spirits that help Scrooge understand the importance of generosity and compassion during the festive season."', 'source_id': 'chunk-43c9bee23adfa77aa9dedd22401bba7dchunk-b0f459f5af1c3a5e0b92cbe4ee48b77bchunk-90b95db5c53e4364a6bee36b7aa4d70f'}> +2024-10-30 06:45:24,459 - lightrag - INFO - _do_upsert:query: + MERGE (n:`THE GHOST OF CHRISTMAS PRESENT`) + SET n += $properties + RETURN n + :result:{'entity_type': '"PERSON"', 'description': '"The Ghost of Christmas Present is a spirit that guides Scrooge through his memories and the joy of the present Christmas celebration.""The Ghost of Christmas Present is a supernatural being that shows Scrooge the true spirit of Christmas, including kindness towards the poor.""The Ghost of Christmas Present signifies abundance and the spirit of joy that Scrooge is encouraged to embrace.""The Ghost of Christmas Present is one of the spirits that help Scrooge understand the importance of generosity and compassion during the festive season.""The Ghost of Christmas Present is one of the spirits that help Scrooge understand the importance of generosity and compassion during the festive season.""The Ghost of Christmas Present is one of the spirits that help Scrooge understand the importance of generosity and compassion during the festive season.""The Ghost of Christmas Present is one of the spirits that help Scrooge understand the importance of generosity and compassion during the festive season.""The Ghost of Christmas Present is one of the spirits that help Scrooge understand the importance of generosity and compassion during the festive season."', 'source_id': 'chunk-43c9bee23adfa77aa9dedd22401bba7dchunk-90b95db5c53e4364a6bee36b7aa4d70fchunk-b0f459f5af1c3a5e0b92cbe4ee48b77b'} +2024-10-30 06:45:24,588 - lightrag - INFO - get_node:query:MATCH (n:`THE CHRISTMAS DINNER`) RETURN n:result: +2024-10-30 06:45:24,713 - lightrag - INFO - _do_upsert:query: + MERGE (n:`THE CHRISTMAS DINNER`) + SET n += $properties + RETURN n + :result:{'entity_type': '"EVENT"', 'description': '"The Christmas Dinner signifies the gathering of the Cratchit family, highlighting themes of togetherness and the warmth of family during the holiday season."', 'source_id': 'chunk-90b95db5c53e4364a6bee36b7aa4d70f'} +2024-10-30 06:45:24,836 - lightrag - INFO - get_node:query:MATCH (n:`THE STREET`) RETURN n:result:"The Street is the setting where Scrooge interacts with the boy and demonstrates his newfound generosity after his transformation.""The Street is the setting where Scrooge interacts with the boy and demonstrates his newfound generosity after his transformation.""The Street is the setting where Scrooge interacts with the boy and demonstrates his newfound generosity after his transformation.""The Street is where Mr. Scrooge\'s Nephew encounters Bob Cratchit, facilitating a significant moment of kindness in the narrative.""The Street represents the setting where Scrooge interacts with various characters and experiences joy, emphasizing the festive atmosphere.""The Street represents the setting where Scrooge interacts with various characters and experiences joy, emphasizing the festive atmosphere.""The Street represents the setting where Scrooge interacts with various characters and experiences joy, emphasizing the festive atmosphere.""The Street represents the setting where Scrooge interacts with various characters and experiences joy, emphasizing the festive atmosphere."', 'source_id': 'chunk-1d4b58de5429cd1261370c231c8673e8chunk-90b95db5c53e4364a6bee36b7aa4d70fchunk-8f738cb25d60a7dab782162d9d0a25ed'}> +2024-10-30 06:45:24,970 - lightrag - INFO - _do_upsert:query: + MERGE (n:`THE STREET`) + SET n += $properties + RETURN n + :result:{'entity_type': '"GEO"', 'description': '"The Street is the setting where Scrooge interacts with the boy and demonstrates his newfound generosity after his transformation.""The Street is the setting where Scrooge interacts with the boy and demonstrates his newfound generosity after his transformation.""The Street is the setting where Scrooge interacts with the boy and demonstrates his newfound generosity after his transformation.""The Street is the setting where Scrooge interacts with the boy and demonstrates his newfound generosity after his transformation.""The Street is the setting where Scrooge interacts with the boy and demonstrates his newfound generosity after his transformation.""The Street is where Mr. Scrooge\'s Nephew encounters Bob Cratchit, facilitating a significant moment of kindness in the narrative.""The Street represents the setting where Scrooge interacts with various characters and experiences joy, emphasizing the festive atmosphere.""The Street represents the setting where Scrooge interacts with various characters and experiences joy, emphasizing the festive atmosphere.""The Street represents the setting where Scrooge interacts with various characters and experiences joy, emphasizing the festive atmosphere.""The Street represents the setting where Scrooge interacts with various characters and experiences joy, emphasizing the festive atmosphere.""The Street represents the setting where Scrooge interacts with various characters and experiences joy, emphasizing the festive atmosphere."', 'source_id': 'chunk-8f738cb25d60a7dab782162d9d0a25edchunk-90b95db5c53e4364a6bee36b7aa4d70fchunk-1d4b58de5429cd1261370c231c8673e8'} +2024-10-30 06:45:25,095 - lightrag - INFO - get_node:query:MATCH (n:`THE BOY`) RETURN n:result:"The Boy is a young messenger who interacts with Scrooge during his purchase of the turkey.""The Boy represents innocence and curiosity, serving as a catalyst for Scrooge\'s generous act by purchasing the turkey.""The Boy represents innocence and curiosity, serving as a catalyst for Scrooge\'s generous act by purchasing the turkey.""The Boy represents innocence and curiosity, serving as a catalyst for Scrooge\'s generous act by purchasing the turkey.""The Boy represents innocence and curiosity, serving as a catalyst for Scrooge\'s generous act by purchasing the turkey."', 'source_id': 'chunk-90b95db5c53e4364a6bee36b7aa4d70fchunk-8bc1edd983869352d14cf0886a9175a7chunk-8f738cb25d60a7dab782162d9d0a25ed'}> +2024-10-30 06:45:25,230 - lightrag - INFO - _do_upsert:query: + MERGE (n:`THE BOY`) + SET n += $properties + RETURN n + :result:{'entity_type': '"PERSON"', 'description': '"The Boy is a character mentioned briefly, who tries to hide behind another girl, indicating shyness among the festive crowd.""The Boy is a young messenger who interacts with Scrooge during his purchase of the turkey.""The Boy represents innocence and curiosity, serving as a catalyst for Scrooge\'s generous act by purchasing the turkey.""The Boy represents innocence and curiosity, serving as a catalyst for Scrooge\'s generous act by purchasing the turkey.""The Boy represents innocence and curiosity, serving as a catalyst for Scrooge\'s generous act by purchasing the turkey.""The Boy represents innocence and curiosity, serving as a catalyst for Scrooge\'s generous act by purchasing the turkey.""The Boy represents innocence and curiosity, serving as a catalyst for Scrooge\'s generous act by purchasing the turkey."', 'source_id': 'chunk-8f738cb25d60a7dab782162d9d0a25edchunk-8bc1edd983869352d14cf0886a9175a7chunk-90b95db5c53e4364a6bee36b7aa4d70f'} +2024-10-30 06:45:25,362 - lightrag - INFO - get_node:query:MATCH (n:`THE TURKEY`) RETURN n:result:"The Turkey represents a key symbol of generosity and festivity during Christmas, as Scrooge purchases it to spread joy.""The Turkey symbolizes the generosity and festive spirit that Scrooge embraces following his transformation.""The Turkey represents a key symbol of generosity and festivity during Christmas, as Scrooge purchases it to spread joy.""The Turkey symbolizes the generosity and festive spirit that Scrooge embraces following his transformation.""The Turkey represents a key symbol of generosity and festivity during Christmas, as Scrooge purchases it to spread joy.""The Turkey symbolizes the generosity and festive spirit that Scrooge embraces following his transformation.""The Turkey represents a key symbol of generosity and festivity during Christmas, as Scrooge purchases it to spread joy.""The Turkey symbolizes the generosity and festive spirit that Scrooge embraces following his transformation."', 'source_id': 'chunk-90b95db5c53e4364a6bee36b7aa4d70fchunk-8f738cb25d60a7dab782162d9d0a25ed'}> +2024-10-30 06:45:25,499 - lightrag - INFO - _do_upsert:query: + MERGE (n:`THE TURKEY`) + SET n += $properties + RETURN n + :result:{'entity_type': '"EVENT"', 'description': '"The Turkey is a large bird that Scrooge has humorously commented on sending to Bob, symbolizing generosity and Christmas spirit.""The Turkey represents a key symbol of generosity and festivity during Christmas, as Scrooge purchases it to spread joy.""The Turkey symbolizes the generosity and festive spirit that Scrooge embraces following his transformation.""The Turkey represents a key symbol of generosity and festivity during Christmas, as Scrooge purchases it to spread joy.""The Turkey symbolizes the generosity and festive spirit that Scrooge embraces following his transformation.""The Turkey represents a key symbol of generosity and festivity during Christmas, as Scrooge purchases it to spread joy.""The Turkey symbolizes the generosity and festive spirit that Scrooge embraces following his transformation.""The Turkey represents a key symbol of generosity and festivity during Christmas, as Scrooge purchases it to spread joy.""The Turkey symbolizes the generosity and festive spirit that Scrooge embraces following his transformation.""The Turkey represents a key symbol of generosity and festivity during Christmas, as Scrooge purchases it to spread joy.""The Turkey symbolizes the generosity and festive spirit that Scrooge embraces following his transformation."', 'source_id': 'chunk-8f738cb25d60a7dab782162d9d0a25edchunk-90b95db5c53e4364a6bee36b7aa4d70f'} +2024-10-30 06:45:25,627 - lightrag - INFO - get_node:query:MATCH (n:`THE OLD GENTLEMAN`) RETURN n:result: +2024-10-30 06:45:25,755 - lightrag - INFO - _do_upsert:query: + MERGE (n:`THE OLD GENTLEMAN`) + SET n += $properties + RETURN n + :result:{'entity_type': '"PERSON"', 'description': '"The Old Gentleman is a character with whom Scrooge interacts, showcasing the themes of kindness and forgiveness."', 'source_id': 'chunk-8f738cb25d60a7dab782162d9d0a25ed'} +2024-10-30 06:45:25,887 - lightrag - INFO - get_node:query:MATCH (n:`BOB`) RETURN n:result:"Bob is referenced humorously by Scrooge in the context of a joke regarding a large turkey.""Bob is likely referenced as a character who may receive the turkey sent by Scrooge, highlighting the theme of generosity.""Bob is likely referenced as a character who may receive the turkey sent by Scrooge, highlighting the theme of generosity.""Bob is likely referenced as a character who may receive the turkey sent by Scrooge, highlighting the theme of generosity.""Bob is likely referenced as a character who may receive the turkey sent by Scrooge, highlighting the theme of generosity."', 'source_id': 'chunk-91572b3cd42786ba4cb2f180ca25cbf4chunk-8f738cb25d60a7dab782162d9d0a25ed'}> +2024-10-30 06:45:26,013 - lightrag - INFO - _do_upsert:query: + MERGE (n:`BOB`) + SET n += $properties + RETURN n + :result:{'entity_type': '"PERSON"', 'description': '"Bob is a character who reflects on the importance of unity and remembering Tiny Tim among his family.""Bob is referenced humorously by Scrooge in the context of a joke regarding a large turkey.""Bob is likely referenced as a character who may receive the turkey sent by Scrooge, highlighting the theme of generosity.""Bob is likely referenced as a character who may receive the turkey sent by Scrooge, highlighting the theme of generosity.""Bob is likely referenced as a character who may receive the turkey sent by Scrooge, highlighting the theme of generosity.""Bob is likely referenced as a character who may receive the turkey sent by Scrooge, highlighting the theme of generosity.""Bob is likely referenced as a character who may receive the turkey sent by Scrooge, highlighting the theme of generosity."', 'source_id': 'chunk-91572b3cd42786ba4cb2f180ca25cbf4chunk-8f738cb25d60a7dab782162d9d0a25ed'} +2024-10-30 06:45:26,163 - lightrag - INFO - get_node:query:MATCH (n:`THE CAB`) RETURN n:result: +2024-10-30 06:45:26,292 - lightrag - INFO - _do_upsert:query: + MERGE (n:`THE CAB`) + SET n += $properties + RETURN n + :result:{'entity_type': '"EVENT"', 'description': '"The Cab is an event associated with transporting the turkey, illustrating the lengths to which Scrooge is willing to go to share joy."', 'source_id': 'chunk-8f738cb25d60a7dab782162d9d0a25ed'} +2024-10-30 06:45:26,420 - lightrag - INFO - get_node:query:MATCH (n:`THE KITCHEN`) RETURN n:result: +2024-10-30 06:45:26,549 - lightrag - INFO - _do_upsert:query: + MERGE (n:`THE KITCHEN`) + SET n += $properties + RETURN n + :result:{'entity_type': '"GEO"', 'description': '"The Kitchen is a location that Scrooge looks into, symbolizing warmth, family, and the spirit of hospitality during the holiday season."', 'source_id': 'chunk-8f738cb25d60a7dab782162d9d0a25ed'} +2024-10-30 06:45:26,673 - lightrag - INFO - get_node:query:MATCH (n:`MISTRESS`) RETURN n:result: +2024-10-30 06:45:26,805 - lightrag - INFO - _do_upsert:query: + MERGE (n:`MISTRESS`) + SET n += $properties + RETURN n + :result:{'entity_type': '"PERSON"', 'description': '"Mistress is referenced in relation to Fred, indicating the presence of family dynamics during the Christmas celebration."', 'source_id': 'chunk-8f738cb25d60a7dab782162d9d0a25ed'} +2024-10-30 06:45:26,931 - lightrag - INFO - get_node:query:MATCH (n:`THE FAMILY`) RETURN n:result: +2024-10-30 06:45:27,083 - lightrag - INFO - _do_upsert:query: + MERGE (n:`THE FAMILY`) + SET n += $properties + RETURN n + :result:{'entity_type': '"ORGANIZATION"', 'description': '"The Family includes Bob Cratchit and his loved ones, who represent themes of togetherness and support during Christmas."', 'source_id': 'chunk-94bea83e7153fc2064aa382b494936a1'} +2024-10-30 06:45:27,210 - lightrag - INFO - get_node:query:MATCH (n:`THE TANK`) RETURN n:result:"The Tank is the workplace setting where Bob Cratchit works under Scrooge, highlighting the power dynamics in their relationship.""The Tank is the workplace setting where Bob Cratchit works under Scrooge, highlighting the power dynamics in their relationship.""The Tank is the workplace setting where Bob Cratchit works under Scrooge, highlighting the power dynamics in their relationship.""The Tank refers to Bob Cratchit\'s work area, where he encounters Scrooge and faces the consequences of arriving late."', 'source_id': 'chunk-94bea83e7153fc2064aa382b494936a1'}> +2024-10-30 06:45:27,343 - lightrag - INFO - _do_upsert:query: + MERGE (n:`THE TANK`) + SET n += $properties + RETURN n + :result:{'entity_type': '"LOCATION"', 'description': '"The Tank is the workplace setting where Bob Cratchit works under Scrooge, highlighting the power dynamics in their relationship.""The Tank is the workplace setting where Bob Cratchit works under Scrooge, highlighting the power dynamics in their relationship.""The Tank is the workplace setting where Bob Cratchit works under Scrooge, highlighting the power dynamics in their relationship.""The Tank is the workplace setting where Bob Cratchit works under Scrooge, highlighting the power dynamics in their relationship.""The Tank is the workplace setting where Bob Cratchit works under Scrooge, highlighting the power dynamics in their relationship.""The Tank refers to Bob Cratchit\'s work area, where he encounters Scrooge and faces the consequences of arriving late."', 'source_id': 'chunk-94bea83e7153fc2064aa382b494936a1'} +2024-10-30 06:45:27,473 - 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lightrag - INFO - _do_upsert:query: + MERGE (n:`THE FOUNDATION`) + SET n += $properties + RETURN n + :result:{'entity_type': '"ORGANIZATION"', 'description': '"The Foundation, also known as the Project Gutenberg Literary Archive Foundation, owns the compilation copyright in the collection of Project Gutenberg electronic works.""The Foundation, also known as the Project Gutenberg Literary Archive Foundation, owns the compilation copyright in the collection of Project Gutenberg electronic works.""The Foundation, also known as the Project Gutenberg Literary Archive Foundation, owns the compilation copyright in the collection of Project Gutenberg electronic works.""The Foundation, also known as the Project Gutenberg Literary Archive Foundation, owns the compilation copyright in the collection of Project Gutenberg electronic works.""The Foundation, also known as the Project Gutenberg Literary Archive Foundation, owns the compilation copyright in the collection of Project Gutenberg electronic works.""The Foundation, referred to as the Project Gutenberg Literary Archive Foundation, owns the compilation copyright of Project Gutenberg\'s collection."', 'source_id': 'chunk-194cd9680f4967f48bea89678f7ece21'} +2024-10-30 06:45:27,997 - 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lightrag - INFO - _do_upsert:query: + MERGE (n:`GENERAL TERMS OF USE`) + SET n += $properties + RETURN n + :result:{'entity_type': '"CONCEPT"', 'description': '"General Terms of Use details the overall framework and guidelines for using Project Gutenberg\'s works and services.""The General Terms of Use outlines regulations for using and distributing Project Gutenberg works.""The General Terms of Use outlines regulations for using and distributing Project Gutenberg works.""The General Terms of Use outlines regulations for using and distributing Project Gutenberg works.""The General Terms of Use outlines regulations for using and distributing Project Gutenberg works.""The General Terms of Use outlines regulations for using and distributing Project Gutenberg works."', 'source_id': 'chunk-194cd9680f4967f48bea89678f7ece21'} +2024-10-30 06:45:28,777 - lightrag - INFO - get_node:query:MATCH (n:`ELECTRONIC WORKS`) RETURN n:result: +2024-10-30 06:45:28,904 - lightrag - INFO - _do_upsert:query: + MERGE (n:`ELECTRONIC WORKS`) + SET n += $properties + RETURN n + :result:{'entity_type': '"CONCEPT"', 'description': '"Electronic works refer to digital versions of literary texts that can be freely accessed and shared without restriction."', 'source_id': 'chunk-194cd9680f4967f48bea89678f7ece21'} +2024-10-30 06:45:29,034 - 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lightrag - INFO - _do_upsert:query: + MERGE (n:`U.S. COPYRIGHT LAW`) + SET n += $properties + RETURN n + :result:{'entity_type': '"CONCEPT"', 'description': '"U.S. Copyright Law governs the usage, distribution, and copyright status of literary works in the United States, affecting how Project Gutenberg operates.""U.S. Copyright Law governs the usage, distribution, and copyright status of literary works in the United States, affecting how Project Gutenberg operates.""U.S. Copyright Law governs the usage, distribution, and copyright status of literary works in the United States, affecting how Project Gutenberg operates.""U.S. Copyright Law governs the usage, distribution, and copyright status of literary works in the United States, affecting how Project Gutenberg operates.""U.S. Copyright Law governs the usage, distribution, and copyright status of literary works in the United States, affecting how Project Gutenberg operates.""U.S. Copyright Law is the legal framework that Project Gutenberg navigates in its efforts to provide access to electronic works, ensuring compliance with copyright protections.""U.S. Copyright Law refers to the legal framework governing copyright protection in the United States, which impacts the distribution and usage of literary works and other creative content.""U.S. copyright law governs the protection of intellectual property in the United States, impacting how works can be distributed through Project Gutenberg™.""U.S. Copyright Law is the legal framework that Project Gutenberg navigates in its efforts to provide access to electronic works, ensuring compliance with copyright protections.""U.S. Copyright Law is the legal framework that Project Gutenberg navigates in its efforts to provide access to electronic works, ensuring compliance with copyright protections.""U.S. Copyright Law is the legal framework that Project Gutenberg navigates in its efforts to provide access to electronic works, ensuring compliance with copyright protections.""U.S. Copyright Law is the legal framework that Project Gutenberg navigates in its efforts to provide access to electronic works, ensuring compliance with copyright protections."', 'source_id': 'chunk-af4ae173c561e4594c5aea96198cce9dchunk-c51b3dc560b408cce12cdfe5c9c94f57'} +2024-10-30 06:45:30,432 - lightrag - INFO - get_node:query:MATCH (n:`EBOOK`) RETURN n:result: +2024-10-30 06:45:30,565 - lightrag - INFO - _do_upsert:query: + MERGE (n:`EBOOK`) + SET n += $properties + RETURN n + :result:{'entity_type': '"EVENT"', 'description': '"An eBook refers to an electronic version of a book that can be accessed, displayed, or distributed according to the licensing terms of Project Gutenberg."', 'source_id': 'chunk-af4ae173c561e4594c5aea96198cce9d'} +2024-10-30 06:45:30,690 - lightrag - INFO - get_node:query:MATCH (n:`UNITED STATES`) RETURN n:result:"The United States is the primary geographic location referenced in the context of copyright laws and distribution terms for Project Gutenberg\'s eBooks.""The United States is the primary geographic location referenced in the context of copyright laws and distribution terms for Project Gutenberg\'s eBooks.""The United States is the primary geographic location referenced in the context of copyright laws and distribution terms for Project Gutenberg\'s eBooks.""The United States is the primary geographic location referenced in the context of copyright laws and distribution terms for Project Gutenberg\'s eBooks."', 'source_id': 'chunk-194cd9680f4967f48bea89678f7ece21chunk-af4ae173c561e4594c5aea96198cce9d'}> +2024-10-30 06:45:30,817 - lightrag - INFO - _do_upsert:query: + MERGE (n:`UNITED STATES`) + SET n += $properties + RETURN n + :result:{'entity_type': '"GEO"', 'description': '"The United States is a geographical location with specific copyright laws affecting the distribution of electronic works.""The United States is the primary geographic location referenced in the context of copyright laws and distribution terms for Project Gutenberg\'s eBooks.""The United States is the primary geographic location referenced in the context of copyright laws and distribution terms for Project Gutenberg\'s eBooks.""The United States is the primary geographic location referenced in the context of copyright laws and distribution terms for Project Gutenberg\'s eBooks.""The United States is the primary geographic location referenced in the context of copyright laws and distribution terms for Project Gutenberg\'s eBooks.""The United States is the primary geographic location referenced in the context of copyright laws and distribution terms for Project Gutenberg\'s eBooks."', 'source_id': 'chunk-af4ae173c561e4594c5aea96198cce9dchunk-194cd9680f4967f48bea89678f7ece21'} +2024-10-30 06:45:30,949 - 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lightrag - INFO - get_node:query:MATCH (n:`WWW.GUTENBERG.ORG/CONTACT`) RETURN n:result: +2024-10-30 06:45:37,834 - lightrag - INFO - _do_upsert:query: + MERGE (n:`WWW.GUTENBERG.ORG/CONTACT`) + SET n += $properties + RETURN n + :result:{'entity_type': '"ORGANIZATION"', 'description': '"The contact page provides up-to-date information on how to reach the Project Gutenberg Literary Archive Foundation."', 'source_id': 'chunk-85f77f5e3a9aba01133555a2d20e2fd8'} +2024-10-30 06:45:37,955 - lightrag - INFO - get_node:query:MATCH (n:`WWW.GUTENBERG.ORG/DONATE`) RETURN n:result: +2024-10-30 06:45:38,087 - lightrag - INFO - _do_upsert:query: + MERGE (n:`WWW.GUTENBERG.ORG/DONATE`) + SET n += $properties + RETURN n + :result:{'entity_type': '"ORGANIZATION"', 'description': '"The donation page on the Project Gutenberg website where individuals can contribute funds to support the Foundation\'s mission."', 'source_id': 'chunk-85f77f5e3a9aba01133555a2d20e2fd8'} +2024-10-30 06:45:38,214 - lightrag - INFO - get_node:query:MATCH (n:`PUBLIC DOMAIN`) RETURN n:result: +2024-10-30 06:45:38,344 - lightrag - INFO - _do_upsert:query: + MERGE (n:`PUBLIC DOMAIN`) + SET n += $properties + RETURN n + :result:{'entity_type': '"CONCEPT"', 'description': '"Public Domain refers to works that are available for free use without copyright restrictions, a key focus of Project Gutenberg\'s mission to distribute such materials."', 'source_id': 'chunk-85f77f5e3a9aba01133555a2d20e2fd8'} +2024-10-30 06:45:40,699 - lightrag - INFO - _do_upsert:query: + MERGE (n:`MRS. FEZZIWIG`) + SET n += $properties + RETURN n + :result:{'entity_type': '"PERSON"', 'description': 'Mrs. Fezziwig is the warm and kind partner of Mr. Fezziwig, playing a vital role in creating a festive atmosphere during their domestic celebrations, particularly at the Christmas ball. She embodies companionship and festive cheer, participating actively in the dances alongside her husband. Mrs. Fezziwig is known for her bright smile and joyous nature, contributing significantly to the warmth and cheer of the events they host together. Her presence and participation greatly enhance the overall ambiance, emphasizing the importance of joyous gatherings in their celebrations. Through her engagement in the festivities, Mrs. Fezziwig represents the spirit of holiday joy and communal celebration.', 'source_id': 'chunk-8bc1edd983869352d14cf0886a9175a7chunk-b2f98bc7abb0c67d4c86055c7fd72218chunk-9e3921da66da5d761ab73cd849af6c43chunk-89777b838d5447c7bd1ec11282c4ee89'} +2024-10-30 06:45:40,880 - lightrag - INFO - _do_upsert:query: + MERGE (n:`EBENEZER SCROOGE`) + SET n += $properties + RETURN n + :result:{'entity_type': '"PERSON"', 'description': 'Ebenezer Scrooge is a central character in Charles Dickens\' "A Christmas Carol," portrayed as a miserly and cold-hearted old man who undergoes a significant transformation. Known for his past connections and interactions, particularly with figures like Fezziwig and Dick Wilkins, Scrooge initially embodies selfishness and greed. Throughout the narrative, he experiences confusion and fear regarding the passage of time and is especially troubled by visitations from supernatural entities, which serve as catalysts for his change. Scrooge\'s journey illustrates his profound transformation, moving from a life of isolation and avarice to one filled with generosity and compassion, ultimately redefining his character from that of a miser to a benefactor.', 'source_id': 'chunk-8bc1edd983869352d14cf0886a9175a7chunk-c7b10789a9cb0af6c553730b29bd9034chunk-9e3921da66da5d761ab73cd849af6c43'} +2024-10-30 06:45:41,189 - lightrag - INFO - _do_upsert:query: + MERGE (n:`MARLEY'S GHOST`) + SET n += $properties + RETURN n + :result:{'entity_type': '"EVENT"', 'description': "Marley's Ghost is a spectral figure representing Jacob Marley, Ebenezer Scrooge's former business partner, who has returned to convey a crucial message about guilt, redemption, and the consequences of one's actions. This unearthly visitor appears to Scrooge to warn him of the impending visits from three spirits, intensifying themes of remorse and the necessity for transformation in Scrooge's life. Marley, having been dead for seven years, symbolizes the regret of a life poorly lived. His apparition deeply troubles Scrooge, prompting him to question the nature of reality and forcing him to confront the distressing realities of his past deeds. Ultimately, Marley's Ghost serves as a harbinger of change, urging Scrooge to reflect on his life choices and the potential for redemption.", 'source_id': 'chunk-c7b10789a9cb0af6c553730b29bd9034chunk-9c43dac2fcd5b578242d907ea6f8fc7bchunk-cb661c37436355ccec2769b1d0350c5fchunk-1aa50206d02ed89418f65f97c6441d1c'} +2024-10-30 06:45:41,359 - lightrag - INFO - _do_upsert:query: + MERGE (n:`THE WOMAN`) + SET n += $properties + RETURN n + :result:{'entity_type': '"PERSON"', 'description': 'The Woman is a bold and defiant character who engages in humorous and lively exchanges, particularly with Joe, concerning the deceased and their belongings. She showcases a carefree attitude towards the former owner of these belongings, instigating discussions with a notable lack of reverence for the deceased. Throughout their conversations, The Woman provides light-hearted responses and laughs at the absurdity of their discussions, emphasizing her humorous demeanor.\n\nShe enters a shop with a heavy bundle, which further illustrates her assertive presence. Despite her engaging nature, her interactions reflect a focus on material gain rather than solemnity, making her a central figure in the dialogue that unfolds. Overall, The Woman embodies both a lively and irreverent spirit, contributing significantly to the dynamics of the conversations surrounding the deceased and their possessions.', 'source_id': 'chunk-e1f29eeadc1d8ab46dc8a0bbd3c56b64chunk-60fc063c79fc0d4acc91a57e79de04dcchunk-89777b838d5447c7bd1ec11282c4ee89'} +2024-10-30 06:45:41,536 - lightrag - INFO - _do_upsert:query: + MERGE (n:`PROJECT GUTENBERG LITERARY ARCHIVE FOUNDATION`) + SET n += $properties + RETURN n + :result:{'entity_type': '"ORGANIZATION"', 'description': "The Project Gutenberg Literary Archive Foundation is a 501(c)(3) non-profit educational corporation dedicated to increasing access to public domain and licensed works in machine-readable form. Established to ensure the free distribution of electronic works, the Foundation is committed to maintaining the Project Gutenberg™ collection for future generations. It serves as the organization that manages the Project Gutenberg trademark and oversees rights, licensing, and royalty payments associated with the organization. Additionally, it is focused on securing the future of Project Gutenberg's activities and contributions, fostering the availability of literary works that can be freely enjoyed by the public. Through its initiatives, the Foundation aims to expand the reach of literature and education by advancing access to a vast array of works.", 'source_id': 'chunk-af4ae173c561e4594c5aea96198cce9dchunk-85f77f5e3a9aba01133555a2d20e2fd8chunk-c51b3dc560b408cce12cdfe5c9c94f57'} +2024-10-30 06:45:41,744 - lightrag - INFO - _do_upsert:query: + MERGE (n:`TOPPER`) + SET n += $properties + RETURN n + :result:{'entity_type': '"PERSON"', 'description': "Topper is a lively and mischievous character who plays a significant role in the festive gathering associated with Scrooge's family. He is known for his jovial nature and participates actively in games, embodying the celebratory spirit of the Christmas party. As a guest at the gathering, Topper contributes to the joyful atmosphere alongside Fred and Scrooge. He is also noted for his playful and somewhat roguish demeanor, which enhances the merriment of the events.\n\nIn addition to his role as a cheerful participant, Topper is a member of Scrooge's niece's social circle, where he showcases his romantic inclinations, particularly towards one of Scrooge's niece's sisters. This intersection of playful behavior and romantic interest further enriches his character, making him an integral part of the festive celebrations. Overall, Topper exemplifies the spirit of joviality and camaraderie during the holiday season, solidifying his place as a memorable guest at the Christmas festivities.", 'source_id': 'chunk-773d0df1dd25c356f7b771d780583e09chunk-43c9bee23adfa77aa9dedd22401bba7dchunk-94bea83e7153fc2064aa382b494936a1'} +2024-10-30 06:45:43,130 - lightrag - INFO - _do_upsert:query: + MERGE (n:`THE GHOST`) + SET n += $properties + RETURN n + :result:{'entity_type': '"EVENT"', 'description': '"The Ghost" is a crucial supernatural being in the narrative of Ebenezer Scrooge, playing a significant role in his transformative journey. Described as a strange figure that embodies qualities of both a child and an old man, The Ghost symbolizes supernatural intervention in Scrooge\'s life and serves as a catalyst for self-reflection and moral realization. This spectral manifestation is identified as the apparition of Jacob Marley, who instills a sense of dread in Scrooge while delivering an important message about the repercussions of his actions and the necessity for change.\n\nThroughout their encounters, The Ghost guides Scrooge by revealing various scenes from his past, which evoke poignant emotions and highlight the joys of family and the significance of Christmas. It emphasizes key themes of redemption, kindness, and the emotional consequences of one\'s actions, urging Scrooge to confront his past and reconsider his life choices. The Ghost serves as a supernatural guide, illustrating the importance of human virtue and the need for compassion towards others.\n\nUltimately, The Ghost acts as a guiding presence that influences Scrooge\'s emotional state and facilitates his journey toward redemption. By facing his past and opening himself to the lessons imparted by The Ghost, Scrooge begins to understand the value of kindness and the severe consequences of neglecting these moral principles throughout his life. In summary, The Ghost encapsulates the overarching themes of change, redemption, and moral lessons, proving vital in Scrooge\'s transformation.', 'source_id': 'chunk-c7b10789a9cb0af6c553730b29bd9034chunk-43c9bee23adfa77aa9dedd22401bba7dchunk-e7637ff18c5ded77a68cce0a87883fadchunk-359187e7571bda4b0b08b2e0b6581e52chunk-da2472b4ef2a535b62908f14d0fb0ca9chunk-c6c248858d1b13ab7ee9ca13c1aeed6bchunk-02baee20cc9463dbe08170a8e1043e32chunk-1aa50206d02ed89418f65f97c6441d1cchunk-cb661c37436355ccec2769b1d0350c5fchunk-54bdd22db1f84a965b5f4c06c9216d8dchunk-8590d9263cd2cd4fa583c432fc54e6c3chunk-83ac129dc9b56f84c46760d153d68e93chunk-9c43dac2fcd5b578242d907ea6f8fc7b'} +2024-10-30 06:45:43,683 - lightrag - INFO - _do_upsert:query: + MERGE (n:`TINY TIM`) + SET n += $properties + RETURN n + :result:{'entity_type': '"PERSON"', 'description': 'Tiny Tim, whose full name is Tim Cratchit, is a poignant character in Charles Dickens\' "A Christmas Carol." He is depicted as the youngest son of Bob Cratchit within a family that struggles with the hardships of poverty and illness. Tiny Tim symbolizes hope, innocence, and resilience amidst these challenges, with his frail health often leading him to be described as a cripple. Despite his physical limitations, he possesses a joyful spirit and maintains an optimistic outlook, which serves as a source of joy for those around him.\n\nTiny Tim\'s well-being is central to the emotional landscape of the Cratchit family, representing their hopes for a better future and the love that binds them together. His character evokes compassion and reflection from others, particularly Ebenezer Scrooge, who transforms from a miserly figure into a more generous person inspired by Tiny Tim\'s situation. Tiny Tim is often referenced by Scrooge and embodies the true essence of the Christmas spirit, participating in festive celebrations with a cheerful demeanor, embodying innocence and goodness despite the challenges presented by his health.\n\nCherished by his family, especially by his father, Bob Cratchit, Tiny Tim reinforces the narrative\'s themes of family, generosity, and the transformative power of kindness. His presence in the story serves as a reminder of the challenges faced by the vulnerable, and he leaves a lasting impression on both the characters within the narrative and the readers. Ultimately, he encapsulates the themes of hope and renewal that resonate throughout "A Christmas Carol," symbolizing the indomitable spirit that inspires hope even in times of adversity.', 'source_id': 'chunk-90b95db5c53e4364a6bee36b7aa4d70fchunk-19d72c57ae3408758b18d2568e86dc6bchunk-503f0bfa5453467c7c61d160a3540ecachunk-91572b3cd42786ba4cb2f180ca25cbf4chunk-9e3921da66da5d761ab73cd849af6c43chunk-8f738cb25d60a7dab782162d9d0a25edchunk-94bea83e7153fc2064aa382b494936a1chunk-83ac129dc9b56f84c46760d153d68e93chunk-7e2e7ebcc19a53b399dc03aded4743e7chunk-1d4b58de5429cd1261370c231c8673e8'} +2024-10-30 06:45:43,858 - lightrag - INFO - _do_upsert:query: + MERGE (n:`CHRISTMAS`) + SET n += $properties + RETURN n + :result:{'entity_type': '"EVENT"', 'description': 'Christmas is a significant and festive season that embodies themes of joy, love, generosity, and community. It plays a crucial role in the narrative, particularly through the experiences of the Cratchit family and the character development of Ebenezer Scrooge. Christmas is depicted as a joyful time of family togetherness, celebration, and emotional reflection, marked by warmth and gratitude, especially for the Cratchit family who create cherished memories despite their modest circumstances.\n\nIn contrast, Scrooge initially approaches Christmas with cynicism, dismissing it as a "humbug" and rejecting the joy and goodwill that the season represents. His cold demeanor and disdain sharply oppose the spirit of generosity and community that permeates the holiday. The narrative emphasizes Christmas as a time of celebration and social responsibility, showcasing the importance of emotional connections within a community.\n\nChristmas serves as the backdrop for Scrooge\'s transformation, compelling him to confront his neglected relationships and past choices, which is pivotal to his character development. His Nephew, who is passionate about the holiday, further highlights the contrast between Scrooge\'s cynical views and the festive spirit. As the story progresses, Christmas symbolizes redemption and change for Scrooge, who ultimately embraces the holiday\'s spirit of goodwill and abandons his bitterness.\n\nThe festive occasion emerges as a pivotal element that reinforces exploration of redemption, generosity, and the transformative power of love and community. Joyful scenes of people celebrating, dancing, and engaging in festive activities sharply contrast with Scrooge\'s earlier solitude and disdain, underscoring the profound influence of Christmas on the thoughts and behaviors of all characters involved.', 'source_id': 'chunk-e7637ff18c5ded77a68cce0a87883fadchunk-c6c248858d1b13ab7ee9ca13c1aeed6bchunk-99b0ec7f7e006561352b5d65e849611dchunk-02baee20cc9463dbe08170a8e1043e32chunk-503f0bfa5453467c7c61d160a3540ecachunk-91572b3cd42786ba4cb2f180ca25cbf4chunk-8f738cb25d60a7dab782162d9d0a25edchunk-94bea83e7153fc2064aa382b494936a1chunk-1d4b58de5429cd1261370c231c8673e8chunk-74e2466de2f67fd710ef2f20c0a8d9e0chunk-89777b838d5447c7bd1ec11282c4ee89chunk-90d5764e301321c087f5a8f78b73a145chunk-91614df5cb74cbe5e109a338a82041e9chunk-54bdd22db1f84a965b5f4c06c9216d8dchunk-773d0df1dd25c356f7b771d780583e09chunk-5dac41b3f9eeaf794f0147400b1718cdchunk-43c9bee23adfa77aa9dedd22401bba7dchunk-da2472b4ef2a535b62908f14d0fb0ca9chunk-8590d9263cd2cd4fa583c432fc54e6c3'} +2024-10-30 06:45:44,916 - lightrag - INFO - _do_upsert:query: + MERGE (n:`SCROOGE`) + SET n += $properties + RETURN n + :result:{'entity_type': '"PERSON"', 'description': 'Scrooge is a central character embodying a profound transformation throughout Charles Dickens\' narrative, initially depicted as a miserly, cold-hearted individual characterized by greed and a disdain for Christmas. Often referred to negatively as the "Ogre of the family" or a "tight-fisted old man," he exemplifies a lack of compassion and indifference toward others, reflecting his solitary nature and reluctance to engage in charitable acts.\n\nThe pivotal turning point in Scrooge\'s journey occurs with a haunting visit from the ghost of his former business partner, Jacob Marley, who warns him of the dire consequences of his actions. This encounter triggers a series of supernatural visits from three spirits, guiding Scrooge through reflections on his past, present, and future. During these encounters, he experiences horror, agitation, and regret as he grapples with the implications of his miserliness and recalls lonely moments from his childhood.\n\nThrough his interactions with the spirits, Scrooge witnesses both joy and sorrow, becoming especially affected by the plight of the Cratchit family and Tiny Tim. These reflections ignite feelings of grief and a longing for connection, compelling him to recognize his mortality and the extensive impact of his choices on those around him. This emotional struggle catalyzes a conflict between Scrooge\'s initial skepticism about the supernatural and a developing capacity for empathy.\n\nUltimately, by the conclusion of the story, Scrooge undergoes a significant transformation. Emerging from his supernatural encounters with a newfound joy and commitment to kindness, he fully embraces the spirit of Christmas. This evolution from a grumpy, indifferent figure to one filled with goodwill encapsulates the narrative\'s themes of redemption, compassion, and community. Scrooge’s journey illustrates that change is not only possible, but that love and generosity can triumph over isolation and greed, as he strives to positively influence the lives of others, particularly his employee Bob Cratchit and his family.', 'source_id': 'chunk-c7b10789a9cb0af6c553730b29bd9034chunk-b0f459f5af1c3a5e0b92cbe4ee48b77bchunk-e7637ff18c5ded77a68cce0a87883fadchunk-359187e7571bda4b0b08b2e0b6581e52chunk-e1f29eeadc1d8ab46dc8a0bbd3c56b64chunk-c6c248858d1b13ab7ee9ca13c1aeed6bchunk-cb661c37436355ccec2769b1d0350c5fchunk-f1a4fbcf1ed86864b9bfd5e8dba4c683chunk-99b0ec7f7e006561352b5d65e849611dchunk-843b5b2f944c7413d9ca876e2e2f151fchunk-90b95db5c53e4364a6bee36b7aa4d70fchunk-19d72c57ae3408758b18d2568e86dc6bchunk-02baee20cc9463dbe08170a8e1043e32chunk-503f0bfa5453467c7c61d160a3540ecachunk-91572b3cd42786ba4cb2f180ca25cbf4chunk-83ac129dc9b56f84c46760d153d68e93chunk-8f738cb25d60a7dab782162d9d0a25edchunk-94bea83e7153fc2064aa382b494936a1chunk-9c43dac2fcd5b578242d907ea6f8fc7bchunk-74e2466de2f67fd710ef2f20c0a8d9e0chunk-89777b838d5447c7bd1ec11282c4ee89chunk-d9aac3484185ac66045df92214d245d5chunk-90d5764e301321c087f5a8f78b73a145chunk-91614df5cb74cbe5e109a338a82041e9chunk-54bdd22db1f84a965b5f4c06c9216d8dchunk-773d0df1dd25c356f7b771d780583e09chunk-5dac41b3f9eeaf794f0147400b1718cdchunk-43c9bee23adfa77aa9dedd22401bba7dchunk-da2472b4ef2a535b62908f14d0fb0ca9chunk-1aa50206d02ed89418f65f97c6441d1cchunk-8590d9263cd2cd4fa583c432fc54e6c3chunk-b2f98bc7abb0c67d4c86055c7fd72218chunk-bb21d58d36c6306fd8810ddd51c4a971'} +2024-10-30 06:45:45,559 - lightrag - INFO - _do_upsert:query: + MERGE (n:`THE SPIRIT`) + SET n += $properties + RETURN n + :result:{'entity_type': '"ORGANIZATION"', 'description': '"The Spirit" is a multifaceted supernatural entity that guides Ebenezer Scrooge through a transformative journey during the Christmas season. It is often portrayed as a ghostly figure, encompassing the roles of the Ghost of Christmas Past and the Ghost of Christmas Present. This entity plays a vital role in illuminating various themes, including joy, generosity, and moral introspection.\n\nThroughout the narrative, The Spirit influences Scrooge\'s emotional journey, prompting him to reflect on his past and understand the consequences of his actions. By guiding him through memories, The Spirit helps Scrooge recognize the significance of happiness, compassion, and community in life. This guiding force not only encourages deep introspection but also highlights the moral lessons associated with the holiday season.\n\nThe Spirit embodies the collective essence of the Christmas spirits and serves as a moral compass for Scrooge. It promotes an environment filled with cheer and mirth, significantly shaping the mood of Christmas and emphasizing the importance of generosity. As Scrooge navigates his reflections on life—past, present, and future—The Spirit plays a critical role in his transformation, ultimately pushing him toward meaningful change and a reevaluation of his life choices.\n\nIn essence, The Spirit acts as both a supernatural guide and an emotional influence, signifying the profound impact of reflection, memory, and personal transformation during the holiday season. Through its guidance, Scrooge embarks on a journey towards understanding the value of life and embracing the spirit of Christmas.', 'source_id': 'chunk-43c9bee23adfa77aa9dedd22401bba7dchunk-b0f459f5af1c3a5e0b92cbe4ee48b77bchunk-da2472b4ef2a535b62908f14d0fb0ca9chunk-e1f29eeadc1d8ab46dc8a0bbd3c56b64chunk-19d72c57ae3408758b18d2568e86dc6bchunk-503f0bfa5453467c7c61d160a3540ecachunk-91614df5cb74cbe5e109a338a82041e9chunk-91572b3cd42786ba4cb2f180ca25cbf4chunk-f1a4fbcf1ed86864b9bfd5e8dba4c683chunk-8590d9263cd2cd4fa583c432fc54e6c3chunk-b2f98bc7abb0c67d4c86055c7fd72218chunk-bb21d58d36c6306fd8810ddd51c4a971'} +2024-10-30 06:45:47,198 - lightrag - INFO - _do_upsert:query: + MERGE (n:`BOB CRATCHIT`) + SET n += $properties + RETURN n + :result:{'entity_type': '"PERSON"', 'description': 'Bob Cratchit is a significant character in Charles Dickens\' "A Christmas Carol," serving as Ebenezer Scrooge\'s dedicated clerk. He is depicted as a struggling yet loving family man who embodies the challenges faced by the working class, highlighting the importance of family in the narrative. Despite enduring low wages, Bob demonstrates warmth and joy during the Christmas season, striving to maintain a positive atmosphere at home amidst financial hardships.\n\nAs the father of Tiny Tim and head of the Cratchit family, Bob exemplifies deep familial love and concern. He is characterized by his kindness and emotional depth, caring for his children and expressing affection for them, especially during family celebrations. His happiness during the festive season underscores his duty as a father and husband, showcasing his resilience in the face of adversity. Bob’s mild-mannered nature is evident as he enjoys Christmas dinner with his family, reflecting appreciation for even the smallest of blessings despite their struggles.\n\nCratchit\'s late arrival to work after Christmas illustrates his anxiety about Scrooge, contrasting with the newfound generosity Scrooge begins to show him. This dynamic emphasizes Bob\'s positive demeanor, which remains unwavering despite his challenges. The warmth of the Cratchit household, particularly during their Christmas dinner, sharply contrasts with Scrooge’s initial miserly attitude, highlighting the spirit of joy that Bob embodies.\n\nOverall, Bob Cratchit is not only a devoted father and husband but also a poignant symbol of resilience, hope, and the profound significance of family within the narrative, making him a compelling and heartwarming figure in "A Christmas Carol."', 'source_id': 'chunk-b0f459f5af1c3a5e0b92cbe4ee48b77bchunk-90b95db5c53e4364a6bee36b7aa4d70fchunk-d9aac3484185ac66045df92214d245d5chunk-19d72c57ae3408758b18d2568e86dc6bchunk-503f0bfa5453467c7c61d160a3540ecachunk-91572b3cd42786ba4cb2f180ca25cbf4chunk-9e3921da66da5d761ab73cd849af6c43chunk-94bea83e7153fc2064aa382b494936a1chunk-83ac129dc9b56f84c46760d153d68e93chunk-7e2e7ebcc19a53b399dc03aded4743e7chunk-1d4b58de5429cd1261370c231c8673e8'} +2024-10-30 06:45:47,383 - lightrag - INFO - _check_edge_existence:query:MATCH (a:`A CHRISTMAS CAROL`)-[r]-(b:`PROJECT GUTENBERG`) RETURN COUNT(r) > 0 AS edgeExists:result:True +2024-10-30 06:45:47,531 - lightrag - INFO - get_edge:query: + MATCH (start:`A CHRISTMAS CAROL`)-[r]->(end:`PROJECT GUTENBERG`) + RETURN properties(r) as edge_properties + LIMIT 1 + :result:{'keywords': '"publication, accessibility"', 'weight': 9.0, 'description': '"A Christmas Carol is published and distributed freely through Project Gutenberg, making it accessible to a global audience."', 'source_id': 'chunk-9e3921da66da5d761ab73cd849af6c43'} +2024-10-30 06:45:47,661 - lightrag - INFO - _check_node_exists:query:MATCH (n:`A CHRISTMAS CAROL`) RETURN count(n) > 0 AS node_exists:result:True +2024-10-30 06:45:47,823 - lightrag - INFO - _check_node_exists:query:MATCH (n:`PROJECT GUTENBERG`) RETURN count(n) > 0 AS node_exists:result:True +2024-10-30 06:45:48,012 - lightrag - INFO - _do_upsert_edge:query: + MATCH (source:`A CHRISTMAS CAROL`) + WITH source + MATCH (target:`PROJECT GUTENBERG`) + MERGE (source)-[r:DIRECTED]->(target) + SET r += $properties + RETURN r + :result:None +2024-10-30 06:45:48,191 - lightrag - INFO - _check_edge_existence:query:MATCH (a:`A CHRISTMAS CAROL`)-[r]-(b:`CHARLES DICKENS`) RETURN COUNT(r) > 0 AS edgeExists:result:True +2024-10-30 06:45:48,331 - lightrag - INFO - get_edge:query: + MATCH (start:`A CHRISTMAS CAROL`)-[r]->(end:`CHARLES DICKENS`) + RETURN properties(r) as edge_properties + LIMIT 1 + :result:{'keywords': '"author, literary impact"', 'weight': 10.0, 'description': '"Charles Dickens authored A Christmas Carol, which reflects his views on Victorian society and social issues."', 'source_id': 'chunk-9e3921da66da5d761ab73cd849af6c43'} +2024-10-30 06:45:48,460 - lightrag - INFO - _check_node_exists:query:MATCH (n:`A CHRISTMAS CAROL`) RETURN count(n) > 0 AS node_exists:result:True +2024-10-30 06:45:48,628 - lightrag - INFO - _check_node_exists:query:MATCH (n:`CHARLES DICKENS`) RETURN count(n) > 0 AS node_exists:result:True +2024-10-30 06:45:48,816 - lightrag - INFO - _do_upsert_edge:query: + MATCH (source:`A CHRISTMAS CAROL`) + WITH source + MATCH (target:`CHARLES DICKENS`) + MERGE (source)-[r:DIRECTED]->(target) + SET r += $properties + RETURN r + :result:None +2024-10-30 06:45:48,992 - lightrag - INFO - _check_edge_existence:query:MATCH (a:`A CHRISTMAS CAROL`)-[r]-(b:`ARTHUR RACKHAM`) RETURN COUNT(r) > 0 AS edgeExists:result:True +2024-10-30 06:45:49,130 - lightrag - INFO - get_edge:query: + MATCH (start:`A CHRISTMAS CAROL`)-[r]->(end:`ARTHUR RACKHAM`) + RETURN properties(r) as edge_properties + LIMIT 1 + :result:{'keywords': '"illustration, artistic contribution"', 'weight': 8.0, 'description': '"Arthur Rackham illustrated A Christmas Carol, enhancing the visual experience of Dickens\' narrative."', 'source_id': 'chunk-9e3921da66da5d761ab73cd849af6c43'} +2024-10-30 06:45:49,250 - lightrag - INFO - _check_node_exists:query:MATCH (n:`A CHRISTMAS CAROL`) RETURN count(n) > 0 AS node_exists:result:True +2024-10-30 06:45:49,425 - lightrag - INFO - _check_node_exists:query:MATCH (n:`ARTHUR RACKHAM`) RETURN count(n) > 0 AS node_exists:result:True +2024-10-30 06:45:49,609 - lightrag - INFO - _do_upsert_edge:query: + MATCH (source:`A CHRISTMAS CAROL`) + WITH source + MATCH (target:`ARTHUR RACKHAM`) + MERGE (source)-[r:DIRECTED]->(target) + SET r += $properties + RETURN r + :result:None +2024-10-30 06:45:49,786 - lightrag - INFO - _check_edge_existence:query:MATCH (a:`BOB CRATCHIT`)-[r]-(b:`EBENEZER SCROOGE`) RETURN COUNT(r) > 0 AS edgeExists:result:True +2024-10-30 06:45:49,923 - lightrag - INFO - get_edge:query: + MATCH (start:`BOB CRATCHIT`)-[r]->(end:`EBENEZER SCROOGE`) + RETURN properties(r) as edge_properties + LIMIT 1 + :result:{'keywords': '"workplace dynamics, social contrast"', 'weight': 7.0, 'description': '"Bob Cratchit works for Ebenezer Scrooge, embodying the struggles of the working class in contrast to Scrooge\'s miserliness."', 'source_id': 'chunk-9e3921da66da5d761ab73cd849af6c43'} +2024-10-30 06:45:50,057 - lightrag - INFO - _check_node_exists:query:MATCH (n:`BOB CRATCHIT`) RETURN count(n) > 0 AS node_exists:result:True +2024-10-30 06:45:50,224 - lightrag - INFO - _check_node_exists:query:MATCH (n:`EBENEZER SCROOGE`) RETURN count(n) > 0 AS node_exists:result:True +2024-10-30 06:45:50,400 - lightrag - INFO - _do_upsert_edge:query: + MATCH (source:`BOB CRATCHIT`) + WITH source + MATCH (target:`EBENEZER SCROOGE`) + MERGE (source)-[r:DIRECTED]->(target) + SET r += $properties + RETURN r + :result:None +2024-10-30 06:45:50,579 - lightrag - INFO - _check_edge_existence:query:MATCH (a:`BOB CRATCHIT`)-[r]-(b:`TINY TIM`) RETURN COUNT(r) > 0 AS edgeExists:result:True +2024-10-30 06:45:50,710 - lightrag - INFO - get_edge:query: + MATCH (start:`BOB CRATCHIT`)-[r]->(end:`TINY TIM`) + RETURN properties(r) as edge_properties + LIMIT 1 + :result:{'keywords': '"family bond, care""family bond, love""family love, vulnerability""family, struggle""family, support""father-son bond, care"', 'weight': 48.0, 'description': '"Bob Cratchit deeply cares for Tiny Tim, demonstrating emotional support and love, especially in moments of distress.""Bob Cratchit expresses love and concern for his son Tiny Tim during the Christmas dinner, highlighting a strong familial bond.""Bob Cratchit is Tiny Tim\'s father, and the turkey Scrooge plans to send will impact Tiny Tim\'s well-being.""Bob Cratchit is Tiny Tim\'s father, and their relationship highlights the theme of family struggle and love, especially during Christmas.""Bob Cratchit shows deep care for Tiny Tim, helping him and expressing pride in his strength and character despite challenges.""Bob Cratchit\'s concern for Tiny Tim illustrates the deep familial love and the challenges facing the Cratchit family."', 'source_id': 'chunk-83ac129dc9b56f84c46760d153d68e93chunk-503f0bfa5453467c7c61d160a3540ecachunk-1d4b58de5429cd1261370c231c8673e8chunk-90b95db5c53e4364a6bee36b7aa4d70fchunk-94bea83e7153fc2064aa382b494936a1chunk-7e2e7ebcc19a53b399dc03aded4743e7'} +2024-10-30 06:45:50,839 - lightrag - INFO - _check_node_exists:query:MATCH (n:`BOB CRATCHIT`) RETURN count(n) > 0 AS node_exists:result:True +2024-10-30 06:45:51,013 - lightrag - INFO - _check_node_exists:query:MATCH (n:`TINY TIM`) RETURN count(n) > 0 AS node_exists:result:True +2024-10-30 06:45:51,196 - lightrag - INFO - _do_upsert_edge:query: + MATCH (source:`BOB CRATCHIT`) + WITH source + MATCH (target:`TINY TIM`) + MERGE (source)-[r:DIRECTED]->(target) + SET r += $properties + RETURN r + :result:None +2024-10-30 06:45:51,371 - lightrag - INFO - _check_edge_existence:query:MATCH (a:`EBENEZER SCROOGE`)-[r]-(b:`MR. FEZZIWIG`) RETURN COUNT(r) > 0 AS edgeExists:result:True +2024-10-30 06:45:51,505 - lightrag - INFO - get_edge:query: + MATCH (start:`EBENEZER SCROOGE`)-[r]->(end:`MR. FEZZIWIG`) + RETURN properties(r) as edge_properties + LIMIT 1 + :result:{'keywords': '"contrast, influence"', 'weight': 7.0, 'description': '"Mr. Fezziwig represents a contrast to Ebenezer Scrooge\'s character, showing kindness and generosity in business."', 'source_id': 'chunk-9e3921da66da5d761ab73cd849af6c43'} +2024-10-30 06:45:51,640 - lightrag - INFO - _check_node_exists:query:MATCH (n:`EBENEZER SCROOGE`) RETURN count(n) > 0 AS node_exists:result:True +2024-10-30 06:45:51,809 - lightrag - INFO - _check_node_exists:query:MATCH (n:`MR. FEZZIWIG`) RETURN count(n) > 0 AS node_exists:result:True +2024-10-30 06:45:51,999 - lightrag - INFO - _do_upsert_edge:query: + MATCH (source:`EBENEZER SCROOGE`) + WITH source + MATCH (target:`MR. FEZZIWIG`) + MERGE (source)-[r:DIRECTED]->(target) + SET r += $properties + RETURN r + :result:None +2024-10-30 06:45:52,176 - lightrag - INFO - _check_edge_existence:query:MATCH (a:`GHOST OF CHRISTMAS PAST`)-[r]-(b:`SCROOGE`) RETURN COUNT(r) > 0 AS edgeExists:result:True +2024-10-30 06:45:52,307 - lightrag - INFO - get_edge:query: + MATCH (start:`GHOST OF CHRISTMAS PAST`)-[r]->(end:`SCROOGE`) + RETURN properties(r) as edge_properties + LIMIT 1 + :result:{'keywords': '"reflection, past influence"', 'weight': 8.0, 'description': '"Scrooge engages with the Ghost of Christmas Past to explore his earlier life, seeking insight into his current state."', 'source_id': 'chunk-bb21d58d36c6306fd8810ddd51c4a971'} +2024-10-30 06:45:52,439 - lightrag - INFO - _check_node_exists:query:MATCH (n:`GHOST OF CHRISTMAS PAST`) RETURN count(n) > 0 AS node_exists:result:True +2024-10-30 06:45:52,604 - lightrag - INFO - _check_node_exists:query:MATCH (n:`SCROOGE`) RETURN count(n) > 0 AS node_exists:result:True +2024-10-30 06:45:52,798 - lightrag - INFO - _do_upsert_edge:query: + MATCH (source:`GHOST OF CHRISTMAS PAST`) + WITH source + MATCH (target:`SCROOGE`) + MERGE (source)-[r:DIRECTED]->(target) + SET r += $properties + RETURN r + :result:None +2024-10-30 06:45:53,001 - lightrag - INFO - _check_edge_existence:query:MATCH (a:`GHOST OF CHRISTMAS PRESENT`)-[r]-(b:`SCROOGE`) RETURN COUNT(r) > 0 AS edgeExists:result:True +2024-10-30 06:45:53,134 - lightrag - INFO - get_edge:query: + MATCH (start:`GHOST OF CHRISTMAS PRESENT`)-[r]->(end:`SCROOGE`) + RETURN properties(r) as edge_properties + LIMIT 1 + :result:{'keywords': '"transformation, mentoring"', 'weight': 10.0, 'description': '"Scrooge is led by the Ghost of Christmas Present, who teaches him valuable lessons about generosity and compassion."', 'source_id': 'chunk-843b5b2f944c7413d9ca876e2e2f151f'} +2024-10-30 06:45:53,258 - lightrag - INFO - _check_node_exists:query:MATCH (n:`GHOST OF CHRISTMAS PRESENT`) RETURN count(n) > 0 AS node_exists:result:True +2024-10-30 06:45:53,426 - lightrag - INFO - _check_node_exists:query:MATCH (n:`SCROOGE`) RETURN count(n) > 0 AS node_exists:result:True +2024-10-30 06:45:53,609 - lightrag - INFO - _do_upsert_edge:query: + MATCH (source:`GHOST OF CHRISTMAS PRESENT`) + WITH source + MATCH (target:`SCROOGE`) + MERGE (source)-[r:DIRECTED]->(target) + SET r += $properties + RETURN r + :result:None +2024-10-30 06:45:53,789 - lightrag - INFO - _check_edge_existence:query:MATCH (a:`GHOST OF CHRISTMAS YET TO COME`)-[r]-(b:`SCROOGE`) RETURN COUNT(r) > 0 AS edgeExists:result:True +2024-10-30 06:45:53,922 - lightrag - INFO - get_edge:query: + MATCH (start:`GHOST OF CHRISTMAS YET TO COME`)-[r]->(end:`SCROOGE`) + RETURN properties(r) as edge_properties + LIMIT 1 + :result:{'keywords': '"forewarning, change""future consequences, redemption"', 'weight': 19.0, 'description': '"The Ghost of Christmas Yet to Come presents a foreboding vision of Scrooge\'s future, driving home the need for personal change.""The Ghost shows Scrooge visions of the future, challenging him to change his ways to avoid a grim destiny."', 'source_id': 'chunk-02baee20cc9463dbe08170a8e1043e32chunk-9e3921da66da5d761ab73cd849af6c43'} +2024-10-30 06:45:54,050 - lightrag - INFO - _check_node_exists:query:MATCH (n:`GHOST OF CHRISTMAS YET TO COME`) RETURN count(n) > 0 AS node_exists:result:True +2024-10-30 06:45:54,211 - lightrag - INFO - _check_node_exists:query:MATCH (n:`SCROOGE`) RETURN count(n) > 0 AS node_exists:result:True +2024-10-30 06:45:54,385 - lightrag - INFO - _do_upsert_edge:query: + MATCH (source:`GHOST OF CHRISTMAS YET TO COME`) + WITH source + MATCH (target:`SCROOGE`) + MERGE (source)-[r:DIRECTED]->(target) + SET r += $properties + RETURN r + :result:None +2024-10-30 06:45:54,569 - lightrag - INFO - _check_edge_existence:query:MATCH (a:`FRED`)-[r]-(b:`SCROOGE`) RETURN COUNT(r) > 0 AS edgeExists:result:True +2024-10-30 06:45:54,704 - lightrag - INFO - get_edge:query: + MATCH (start:`FRED`)-[r]->(end:`SCROOGE`) + RETURN properties(r) as edge_properties + LIMIT 1 + :result:{'keywords': '"family connection, goodwill""family connection, reconciliation""family, transformation""rejection, familial dynamics"', 'weight': 30.0, 'description': '"Scrooge and Fred share a familial bond, with Fred expressing goodwill and celebrating Scrooge despite his uncle\'s previous behavior.""Scrooge expresses a desire to visit Fred, which signifies a reconciliatory gesture toward his family.""Scrooge surprises Fred with his unexpected visit, indicating a shift in their familial relationship and Scrooge\'s attitude toward family.""Scrooge\'s interaction with Fred emphasizes his rejection of familial warmth during the Christmas season."', 'source_id': 'chunk-8f738cb25d60a7dab782162d9d0a25edchunk-94bea83e7153fc2064aa382b494936a1chunk-89777b838d5447c7bd1ec11282c4ee89chunk-e7637ff18c5ded77a68cce0a87883fad'} +2024-10-30 06:45:54,838 - lightrag - INFO - _check_node_exists:query:MATCH (n:`FRED`) RETURN count(n) > 0 AS node_exists:result:True +2024-10-30 06:45:54,992 - lightrag - INFO - _check_node_exists:query:MATCH (n:`SCROOGE`) RETURN count(n) > 0 AS node_exists:result:True +2024-10-30 06:45:55,178 - lightrag - INFO - _do_upsert_edge:query: + MATCH (source:`FRED`) + WITH source + MATCH (target:`SCROOGE`) + MERGE (source)-[r:DIRECTED]->(target) + SET r += $properties + RETURN r + :result:None +2024-10-30 06:45:55,361 - lightrag - INFO - _check_edge_existence:query:MATCH (a:`FRED`)-[r]-(b:`GHOST OF CHRISTMAS PRESENT`) RETURN COUNT(r) > 0 AS edgeExists:result:True +2024-10-30 06:45:55,490 - lightrag - INFO - get_edge:query: + MATCH (start:`FRED`)-[r]->(end:`GHOST OF CHRISTMAS PRESENT`) + RETURN properties(r) as edge_properties + LIMIT 1 + :result:{'keywords': '"celebration, Christmas spirit"', 'weight': 8.0, 'description': '"Fred is celebrated by the Ghost of Christmas Present as a symbol of Christmas spirit, highlighting the contrast with Scrooge."', 'source_id': 'chunk-9e3921da66da5d761ab73cd849af6c43'} +2024-10-30 06:45:55,621 - lightrag - INFO - _check_node_exists:query:MATCH (n:`FRED`) RETURN count(n) > 0 AS node_exists:result:True +2024-10-30 06:45:55,781 - lightrag - INFO - _check_node_exists:query:MATCH (n:`GHOST OF CHRISTMAS PRESENT`) RETURN count(n) > 0 AS node_exists:result:True +2024-10-30 06:45:55,966 - lightrag - INFO - _do_upsert_edge:query: + MATCH (source:`FRED`) + WITH source + MATCH (target:`GHOST OF CHRISTMAS PRESENT`) + MERGE (source)-[r:DIRECTED]->(target) + SET r += $properties + RETURN r + :result:None +2024-10-30 06:45:56,148 - lightrag - INFO - _check_edge_existence:query:MATCH (a:`BOB CRATCHIT`)-[r]-(b:`MRS. CRATCHIT`) RETURN COUNT(r) > 0 AS edgeExists:result:True +2024-10-30 06:45:56,278 - lightrag - INFO - get_edge:query: + MATCH (start:`BOB CRATCHIT`)-[r]->(end:`MRS. CRATCHIT`) + RETURN properties(r) as edge_properties + LIMIT 1 + :result:{'keywords': '"family unity, celebration""partnership, family unity"', 'weight': 16.0, 'description': '"Bob and Mrs. Cratchit represent a family working together to create a festive and warm environment despite their limited means.""Mrs. Cratchit supports Bob Cratchit in his parenting efforts and encourages the family’s unity during challenging times."', 'source_id': 'chunk-1d4b58de5429cd1261370c231c8673e8chunk-b0f459f5af1c3a5e0b92cbe4ee48b77b'} +2024-10-30 06:45:56,408 - lightrag - INFO - _check_node_exists:query:MATCH (n:`BOB CRATCHIT`) RETURN count(n) > 0 AS node_exists:result:True +2024-10-30 06:45:56,574 - lightrag - INFO - _check_node_exists:query:MATCH (n:`MRS. CRATCHIT`) RETURN count(n) > 0 AS node_exists:result:True +2024-10-30 06:45:56,755 - lightrag - INFO - _do_upsert_edge:query: + MATCH (source:`BOB CRATCHIT`) + WITH source + MATCH (target:`MRS. CRATCHIT`) + MERGE (source)-[r:DIRECTED]->(target) + SET r += $properties + RETURN r + :result:None +2024-10-30 06:45:56,938 - lightrag - INFO - _check_edge_existence:query:MATCH (a:`GHOST OF CHRISTMAS PRESENT`)-[r]-(b:`TINY TIM`) RETURN COUNT(r) > 0 AS edgeExists:result:True +2024-10-30 06:45:57,074 - lightrag - INFO - get_edge:query: + MATCH (start:`GHOST OF CHRISTMAS PRESENT`)-[r]->(end:`TINY TIM`) + RETURN properties(r) as edge_properties + LIMIT 1 + :result:{'keywords': '"compassion, family"', 'weight': 9.0, 'description': '"The Ghost of Christmas Present reveals Tiny Tim’s struggles and optimism, emphasizing themes of compassion and family."', 'source_id': 'chunk-9e3921da66da5d761ab73cd849af6c43'} +2024-10-30 06:45:57,200 - lightrag - INFO - _check_node_exists:query:MATCH (n:`GHOST OF CHRISTMAS PRESENT`) RETURN count(n) > 0 AS node_exists:result:True +2024-10-30 06:45:57,369 - lightrag - INFO - _check_node_exists:query:MATCH (n:`TINY TIM`) RETURN count(n) > 0 AS node_exists:result:True +2024-10-30 06:45:57,548 - lightrag - INFO - _do_upsert_edge:query: + MATCH (source:`GHOST OF CHRISTMAS PRESENT`) + WITH source + MATCH (target:`TINY TIM`) + MERGE (source)-[r:DIRECTED]->(target) + SET r += $properties + RETURN r + :result:None +2024-10-30 06:45:57,729 - lightrag - INFO - _check_edge_existence:query:MATCH (a:`BOB CRATCHIT`)-[r]-(b:`MARTHA CRATCHIT`) RETURN COUNT(r) > 0 AS edgeExists:result:True +2024-10-30 06:45:57,862 - lightrag - INFO - get_edge:query: + MATCH (start:`BOB CRATCHIT`)-[r]->(end:`MARTHA CRATCHIT`) + RETURN properties(r) as edge_properties + LIMIT 1 + :result:{'keywords': '"family bond, affection"', 'weight': 7.0, 'description': '"Martha shows affection for Bob Cratchit upon her arrival, indicating a warm father-daughter relationship within the family."', 'source_id': 'chunk-7e2e7ebcc19a53b399dc03aded4743e7'} +2024-10-30 06:45:57,983 - lightrag - INFO - _check_node_exists:query:MATCH (n:`BOB CRATCHIT`) RETURN count(n) > 0 AS node_exists:result:True +2024-10-30 06:45:58,157 - lightrag - INFO - _check_node_exists:query:MATCH (n:`MARTHA CRATCHIT`) RETURN count(n) > 0 AS node_exists:result:True +2024-10-30 06:45:58,335 - lightrag - INFO - _do_upsert_edge:query: + MATCH (source:`BOB CRATCHIT`) + WITH source + MATCH (target:`MARTHA CRATCHIT`) + MERGE (source)-[r:DIRECTED]->(target) + SET r += $properties + RETURN r + :result:None +2024-10-30 06:45:58,510 - lightrag - INFO - _check_edge_existence:query:MATCH (a:`MR. FEZZIWIG`)-[r]-(b:`SCROOGE`) RETURN COUNT(r) > 0 AS edgeExists:result:True +2024-10-30 06:45:58,641 - lightrag - INFO - get_edge:query: + MATCH (start:`MR. FEZZIWIG`)-[r]->(end:`SCROOGE`) + RETURN properties(r) as edge_properties + LIMIT 1 + :result:{'keywords': '"kindness, influence"', 'weight': 8.0, 'description': '"Mr. Fezziwig\'s kindness towards employees influences Scrooge\'s eventual change in attitude toward generosity and business."', 'source_id': 'chunk-9e3921da66da5d761ab73cd849af6c43'} +2024-10-30 06:45:58,769 - lightrag - INFO - _check_node_exists:query:MATCH (n:`MR. FEZZIWIG`) RETURN count(n) > 0 AS node_exists:result:True +2024-10-30 06:45:58,924 - lightrag - INFO - _check_node_exists:query:MATCH (n:`SCROOGE`) RETURN count(n) > 0 AS node_exists:result:True +2024-10-30 06:45:59,105 - lightrag - INFO - _do_upsert_edge:query: + MATCH (source:`MR. FEZZIWIG`) + WITH source + MATCH (target:`SCROOGE`) + MERGE (source)-[r:DIRECTED]->(target) + SET r += $properties + RETURN r + :result:None +2024-10-30 06:45:59,281 - lightrag - INFO - _check_edge_existence:query:MATCH (a:`GHOST OF JACOB MARLEY`)-[r]-(b:`SCROOGE`) RETURN COUNT(r) > 0 AS edgeExists:result:True +2024-10-30 06:45:59,416 - lightrag - INFO - get_edge:query: + MATCH (start:`GHOST OF JACOB MARLEY`)-[r]->(end:`SCROOGE`) + RETURN properties(r) as edge_properties + LIMIT 1 + :result:{'keywords': '"warning, transformation"', 'weight': 9.0, 'description': '"Jacob Marley appears to Scrooge as a warning and catalyst for his eventual transformation into a better person."', 'source_id': 'chunk-9e3921da66da5d761ab73cd849af6c43'} +2024-10-30 06:45:59,544 - lightrag - INFO - _check_node_exists:query:MATCH (n:`GHOST OF JACOB MARLEY`) RETURN count(n) > 0 AS node_exists:result:True +2024-10-30 06:45:59,699 - lightrag - INFO - _check_node_exists:query:MATCH (n:`SCROOGE`) RETURN count(n) > 0 AS node_exists:result:True +2024-10-30 06:45:59,877 - lightrag - INFO - _do_upsert_edge:query: + MATCH (source:`GHOST OF JACOB MARLEY`) + WITH source + MATCH (target:`SCROOGE`) + MERGE (source)-[r:DIRECTED]->(target) + SET r += $properties + RETURN r + :result:None +2024-10-30 06:46:00,057 - lightrag - INFO - _check_edge_existence:query:MATCH (a:`FAN`)-[r]-(b:`SCROOGE`) RETURN COUNT(r) > 0 AS edgeExists:result:True +2024-10-30 06:46:00,196 - lightrag - INFO - get_edge:query: + MATCH (start:`FAN`)-[r]->(end:`SCROOGE`) + RETURN properties(r) as edge_properties + LIMIT 1 + :result:{'keywords': '"family, joy lost""sibling bond, nostalgia"', 'weight': 14.0, 'description': '"Fan\'s loving relationship with her brother Scrooge reflects the lost potential for joy in his life due to his choices.""Scrooge and Fan share a sibling bond, with Fan representing innocence and happiness from their childhood, which evokes fond memories for Scrooge."', 'source_id': 'chunk-c6c248858d1b13ab7ee9ca13c1aeed6bchunk-9e3921da66da5d761ab73cd849af6c43'} +2024-10-30 06:46:00,329 - lightrag - INFO - _check_node_exists:query:MATCH (n:`FAN`) RETURN count(n) > 0 AS node_exists:result:True +2024-10-30 06:46:00,484 - lightrag - INFO - _check_node_exists:query:MATCH (n:`SCROOGE`) RETURN count(n) > 0 AS node_exists:result:True +2024-10-30 06:46:00,662 - lightrag - INFO - _do_upsert_edge:query: + MATCH (source:`FAN`) + WITH source + MATCH (target:`SCROOGE`) + MERGE (source)-[r:DIRECTED]->(target) + SET r += $properties + RETURN r + :result:None +2024-10-30 06:46:00,846 - lightrag - INFO - _check_edge_existence:query:MATCH (a:`MR. FEZZIWIG`)-[r]-(b:`MRS. FEZZIWIG`) RETURN COUNT(r) > 0 AS edgeExists:result:True +2024-10-30 06:46:00,989 - lightrag - INFO - get_edge:query: + MATCH (start:`MR. FEZZIWIG`)-[r]->(end:`MRS. FEZZIWIG`) + RETURN properties(r) as edge_properties + LIMIT 1 + :result:{'keywords': '"partnership, Christmas joy"', 'weight': 8.0, 'description': '"Mr. and Mrs. Fezziwig together create a joyful environment during Christmas, representing partnership and generosity."', 'source_id': 'chunk-9e3921da66da5d761ab73cd849af6c43'} +2024-10-30 06:46:01,125 - lightrag - INFO - _check_node_exists:query:MATCH (n:`MR. FEZZIWIG`) RETURN count(n) > 0 AS node_exists:result:True +2024-10-30 06:46:01,294 - lightrag - INFO - _check_node_exists:query:MATCH (n:`MRS. FEZZIWIG`) RETURN count(n) > 0 AS node_exists:result:True +2024-10-30 06:46:01,479 - lightrag - INFO - _do_upsert_edge:query: + MATCH (source:`MR. FEZZIWIG`) + WITH source + MATCH (target:`MRS. FEZZIWIG`) + MERGE (source)-[r:DIRECTED]->(target) + SET r += $properties + RETURN r + :result:None +2024-10-30 06:46:01,657 - lightrag - INFO - _check_edge_existence:query:MATCH (a:`FEZZIWIG`)-[r]-(b:`SCROOGE`) RETURN COUNT(r) > 0 AS edgeExists:result:True +2024-10-30 06:46:01,789 - lightrag - INFO - get_edge:query: + MATCH (start:`FEZZIWIG`)-[r]->(end:`SCROOGE`) + RETURN properties(r) as edge_properties + LIMIT 1 + :result:{'keywords': '"kindness, mentorship""reflection, influence"', 'weight': 16.0, 'description': '"Scrooge reflects positively on Fezziwig\'s past actions, acknowledging the happiness and gratitude he inspired in people.""Scrooge reminisces about Fezziwig\'s kindness during his apprenticeship, comparing his past self to his current state."', 'source_id': 'chunk-b2f98bc7abb0c67d4c86055c7fd72218chunk-c6c248858d1b13ab7ee9ca13c1aeed6b'} +2024-10-30 06:46:01,921 - lightrag - INFO - _check_node_exists:query:MATCH (n:`FEZZIWIG`) RETURN count(n) > 0 AS node_exists:result:True +2024-10-30 06:46:02,082 - lightrag - INFO - _check_node_exists:query:MATCH (n:`SCROOGE`) RETURN count(n) > 0 AS node_exists:result:True +2024-10-30 06:46:02,266 - lightrag - INFO - _do_upsert_edge:query: + MATCH (source:`FEZZIWIG`) + WITH source + MATCH (target:`SCROOGE`) + MERGE (source)-[r:DIRECTED]->(target) + SET r += $properties + RETURN r + :result:None +2024-10-30 06:46:02,440 - lightrag - INFO - _check_edge_existence:query:MATCH (a:`MARLEY`)-[r]-(b:`SCROOGE`) RETURN COUNT(r) > 0 AS edgeExists:result:True +2024-10-30 06:46:02,570 - lightrag - INFO - get_edge:query: + MATCH (start:`MARLEY`)-[r]->(end:`SCROOGE`) + RETURN properties(r) as edge_properties + LIMIT 1 + :result:{'keywords': '"mourning, partnership""past influence, personal history""redemption, confrontation""supernatural connection, past relationships"', 'weight': 32.0, 'description': '"Marley’s influence and past relationship with Scrooge is indicated, suggesting a connection that impacts Scrooge\'s character growth.""Scrooge is deeply affected by Marley\'s death, illustrated through his role as the sole executor and mourner of Marley.""Scrooge reflects on Marley, revealing his past connection and the haunting aspect of Marley\'s death, which influences Scrooge\'s character arc.""Scrooge\'s encounter with Marley’s Ghost serves as a confrontation with his past self and the life choices he regrets, depicting the theme of redemption."', 'source_id': 'chunk-d9aac3484185ac66045df92214d245d5chunk-843b5b2f944c7413d9ca876e2e2f151fchunk-89777b838d5447c7bd1ec11282c4ee89chunk-9c43dac2fcd5b578242d907ea6f8fc7b'} +2024-10-30 06:46:02,697 - lightrag - INFO - _check_node_exists:query:MATCH (n:`MARLEY`) RETURN count(n) > 0 AS node_exists:result:True +2024-10-30 06:46:02,850 - lightrag - INFO - _check_node_exists:query:MATCH (n:`SCROOGE`) RETURN count(n) > 0 AS node_exists:result:True +2024-10-30 06:46:03,029 - lightrag - INFO - _do_upsert_edge:query: + MATCH (source:`MARLEY`) + WITH source + MATCH (target:`SCROOGE`) + MERGE (source)-[r:DIRECTED]->(target) + SET r += $properties + RETURN r + :result:None +2024-10-30 06:46:03,207 - lightrag - INFO - _check_edge_existence:query:MATCH (a:`CHRISTMAS`)-[r]-(b:`SCROOGE`) RETURN COUNT(r) > 0 AS edgeExists:result:True +2024-10-30 06:46:03,340 - lightrag - INFO - get_edge:query: + MATCH (start:`CHRISTMAS`)-[r]->(end:`SCROOGE`) + RETURN properties(r) as edge_properties + LIMIT 1 + :result:{'keywords': '"character development, festive spirit""conflict, holiday spirit""contrast, seasonal significance""disconnection, festive spirit""holiday significance, reflection""reflection, redemption""seasonal significance, emotional reflection""transformation, festive spirit""transformation, holiday significance""transformation, holiday spirit"', 'weight': 95.0, 'description': '"Christmas is a central theme that invokes Scrooge\'s memories of his past, his feelings of loneliness, and his desire to connect.""Christmas serves as a focal point for Scrooge\'s emotional reflections on joy and his disconnect from societal celebrations.""Christmas serves as the catalyst for Scrooge\'s transformation, highlighting themes of giving and compassion.""Scrooge expresses disdain for Christmas, viewing it as a burden rather than a celebration.""Scrooge\'s attitude towards Christmas highlights his disconnection from the festive spirit and charity associated with the holiday.""Scrooge\'s character contrasts sharply with the joy of Christmas, highlighting his disdain for the festive season.""Scrooge\'s experience during the Christmas event highlights the transformation of his character and the spirit of the holiday.""Scrooge\'s journey with the Spirit ultimately leads him to reflect on the meaning of Christmas and its impact on human connections.""Scrooge\'s transformation and newfound joy are directly linked to the spirit of Christmas.""Scrooge\'s transformation is centered around the spirit of Christmas, which he learns to embrace and celebrate.""Scrooge\'s views on Christmas evolve as he witnesses the joy and familial love associated with the holiday, marking a shift in his character."', 'source_id': 'chunk-91614df5cb74cbe5e109a338a82041e9chunk-8f738cb25d60a7dab782162d9d0a25edchunk-e7637ff18c5ded77a68cce0a87883fadchunk-8590d9263cd2cd4fa583c432fc54e6c3chunk-54bdd22db1f84a965b5f4c06c9216d8dchunk-90d5764e301321c087f5a8f78b73a145chunk-da2472b4ef2a535b62908f14d0fb0ca9chunk-94bea83e7153fc2064aa382b494936a1chunk-89777b838d5447c7bd1ec11282c4ee89chunk-99b0ec7f7e006561352b5d65e849611dchunk-74e2466de2f67fd710ef2f20c0a8d9e0'} +2024-10-30 06:46:03,461 - lightrag - INFO - _check_node_exists:query:MATCH (n:`CHRISTMAS`) RETURN count(n) > 0 AS node_exists:result:True +2024-10-30 06:46:03,616 - lightrag - INFO - _check_node_exists:query:MATCH (n:`SCROOGE`) RETURN count(n) > 0 AS node_exists:result:True +2024-10-30 06:46:03,800 - lightrag - INFO - _do_upsert_edge:query: + MATCH (source:`CHRISTMAS`) + WITH source + MATCH (target:`SCROOGE`) + MERGE (source)-[r:DIRECTED]->(target) + SET r += $properties + RETURN r + :result:None +2024-10-30 06:46:03,975 - lightrag - INFO - _check_edge_existence:query:MATCH (a:`SCROOGE`)-[r]-(b:`THE WAREHOUSE`) RETURN COUNT(r) > 0 AS edgeExists:result:True +2024-10-30 06:46:04,109 - lightrag - INFO - get_edge:query: + MATCH (start:`SCROOGE`)-[r]->(end:`THE WAREHOUSE`) + RETURN properties(r) as edge_properties + LIMIT 1 + :result:{'keywords': '"memories, apprenticeship"', 'weight': 8.0, 'description': '"Scrooge\'s connection to the Warehouse emphasizes his memories of apprenticeship and his past experiences."', 'source_id': 'chunk-c6c248858d1b13ab7ee9ca13c1aeed6b'} +2024-10-30 06:46:04,233 - lightrag - INFO - _check_node_exists:query:MATCH (n:`SCROOGE`) RETURN count(n) > 0 AS node_exists:result:True +2024-10-30 06:46:04,401 - lightrag - INFO - _check_node_exists:query:MATCH (n:`THE WAREHOUSE`) RETURN count(n) > 0 AS node_exists:result:True +2024-10-30 06:46:04,584 - lightrag - INFO - _do_upsert_edge:query: + MATCH (source:`SCROOGE`) + WITH source + MATCH (target:`THE WAREHOUSE`) + MERGE (source)-[r:DIRECTED]->(target) + SET r += $properties + RETURN r + :result:None +2024-10-30 06:46:04,774 - lightrag - INFO - _check_edge_existence:query:MATCH (a:`JOE`)-[r]-(b:`THE WOMAN`) RETURN COUNT(r) > 0 AS edgeExists:result:True +2024-10-30 06:46:04,910 - lightrag - INFO - get_edge:query: + MATCH (start:`JOE`)-[r]->(end:`THE WOMAN`) + RETURN properties(r) as edge_properties + LIMIT 1 + :result:{'keywords': '"dialogue, humor, death""humor, interaction"', 'weight': 12.0, 'description': '"Joe and The Woman engage in dialogue about the deceased\'s belongings, showcasing their interactions and differing attitudes towards death.""Joe and The Woman share a humorous exchange about the bed-curtains, reflecting the jovial spirit of the gathering."', 'source_id': 'chunk-89777b838d5447c7bd1ec11282c4ee89chunk-e1f29eeadc1d8ab46dc8a0bbd3c56b64'} +2024-10-30 06:46:05,041 - lightrag - INFO - _check_node_exists:query:MATCH (n:`JOE`) RETURN count(n) > 0 AS node_exists:result:True +2024-10-30 06:46:05,208 - lightrag - INFO - _check_node_exists:query:MATCH (n:`THE WOMAN`) RETURN count(n) > 0 AS node_exists:result:True +2024-10-30 06:46:05,391 - lightrag - INFO - _do_upsert_edge:query: + MATCH (source:`JOE`) + WITH source + MATCH (target:`THE WOMAN`) + MERGE (source)-[r:DIRECTED]->(target) + SET r += $properties + RETURN r + :result:None +2024-10-30 06:46:05,572 - lightrag - INFO - _check_edge_existence:query:MATCH (a:`SCROOGE`)-[r]-(b:`TIM`) RETURN COUNT(r) > 0 AS edgeExists:result:True +2024-10-30 06:46:05,701 - lightrag - INFO - get_edge:query: + MATCH (start:`SCROOGE`)-[r]->(end:`TIM`) + RETURN properties(r) as edge_properties + LIMIT 1 + :result:{'keywords': '"familial connection, emotional depth"', 'weight': 8.0, 'description': '"Scrooge\'s connection to Tim emphasizes emotional depth, reflecting on family and lost connections as part of his character development."', 'source_id': 'chunk-89777b838d5447c7bd1ec11282c4ee89'} +2024-10-30 06:46:05,827 - lightrag - INFO - _check_node_exists:query:MATCH (n:`SCROOGE`) RETURN count(n) > 0 AS node_exists:result:True +2024-10-30 06:46:05,991 - lightrag - INFO - _check_node_exists:query:MATCH (n:`TIM`) RETURN count(n) > 0 AS node_exists:result:True +2024-10-30 06:46:06,172 - lightrag - INFO - _do_upsert_edge:query: + MATCH (source:`SCROOGE`) + WITH source + MATCH (target:`TIM`) + MERGE (source)-[r:DIRECTED]->(target) + SET r += $properties + RETURN r + :result:None +2024-10-30 06:46:06,356 - lightrag - INFO - _check_edge_existence:query:MATCH (a:`OLD SCROOGE`)-[r]-(b:`SCROOGE`) RETURN COUNT(r) > 0 AS edgeExists:result:True +2024-10-30 06:46:06,493 - lightrag - INFO - get_edge:query: + MATCH (start:`OLD SCROOGE`)-[r]->(end:`SCROOGE`) + RETURN properties(r) as edge_properties + LIMIT 1 + :result:{'keywords': '"character history, development"', 'weight': 7.0, 'description': '"Scrooge\'s history is revealed through the mention of Old Scrooge, indicating his past beliefs and practices that shape his current persona."', 'source_id': 'chunk-89777b838d5447c7bd1ec11282c4ee89'} +2024-10-30 06:46:06,624 - lightrag - INFO - _check_node_exists:query:MATCH (n:`OLD SCROOGE`) RETURN count(n) > 0 AS node_exists:result:True +2024-10-30 06:46:06,780 - lightrag - INFO - _check_node_exists:query:MATCH (n:`SCROOGE`) RETURN count(n) > 0 AS node_exists:result:True +2024-10-30 06:46:06,962 - lightrag - INFO - _do_upsert_edge:query: + MATCH (source:`OLD SCROOGE`) + WITH source + MATCH (target:`SCROOGE`) + MERGE (source)-[r:DIRECTED]->(target) + SET r += $properties + RETURN r + :result:None +2024-10-30 06:46:07,139 - lightrag - INFO - _check_edge_existence:query:MATCH (a:`MARLEY'S FUNERAL`)-[r]-(b:`SCROOGE`) RETURN COUNT(r) > 0 AS edgeExists:result:True +2024-10-30 06:46:07,277 - lightrag - INFO - get_edge:query: + MATCH (start:`MARLEY'S FUNERAL`)-[r]->(end:`SCROOGE`) + RETURN properties(r) as edge_properties + LIMIT 1 + :result:{'keywords': '"loss, character journey"', 'weight': 9.0, 'description': '"Marley\'s Funeral signifies the beginning of Scrooge\'s emotional journey, showcasing his reaction to loss and setting the stage for the narrative."', 'source_id': 'chunk-89777b838d5447c7bd1ec11282c4ee89'} +2024-10-30 06:46:07,411 - lightrag - INFO - _check_node_exists:query:MATCH (n:`MARLEY'S FUNERAL`) RETURN count(n) > 0 AS node_exists:result:True +2024-10-30 06:46:07,569 - lightrag - INFO - _check_node_exists:query:MATCH (n:`SCROOGE`) RETURN count(n) > 0 AS node_exists:result:True +2024-10-30 06:46:07,756 - lightrag - INFO - _do_upsert_edge:query: + MATCH (source:`MARLEY'S FUNERAL`) + WITH source + MATCH (target:`SCROOGE`) + MERGE (source)-[r:DIRECTED]->(target) + SET r += $properties + RETURN r + :result:None +2024-10-30 06:46:07,942 - lightrag - INFO - _check_edge_existence:query:MATCH (a:`SCROOGE`)-[r]-(b:`SCROOGE'S NEPHEW`) RETURN COUNT(r) > 0 AS edgeExists:result:True +2024-10-30 06:46:08,084 - lightrag - INFO - get_edge:query: + MATCH (start:`SCROOGE`)-[r]->(end:`SCROOGE'S NEPHEW`) + RETURN properties(r) as edge_properties + LIMIT 1 + :result:{'keywords': '"family conflict, differing perspectives""family dynamics, contrasting views""family dynamics, opposing views"', 'weight': 24.0, 'description': '"Scrooge\'s Nephew contrasts with Scrooge, advocating for merriment and showing pity for his uncle\'s ill tempers.""Scrooge\'s Nephew tries to cheer Scrooge up and promote the joy of Christmas, but is met with rejection and negativity.""Scrooge\'s Nephew tries to convince Scrooge of the joys of Christmas, illustrating the conflict between their differing views on the holiday."', 'source_id': 'chunk-773d0df1dd25c356f7b771d780583e09chunk-74e2466de2f67fd710ef2f20c0a8d9e0chunk-5dac41b3f9eeaf794f0147400b1718cd'} +2024-10-30 06:46:08,205 - lightrag - INFO - _check_node_exists:query:MATCH (n:`SCROOGE`) RETURN count(n) > 0 AS node_exists:result:True +2024-10-30 06:46:08,379 - lightrag - INFO - _check_node_exists:query:MATCH (n:`SCROOGE'S NEPHEW`) RETURN count(n) > 0 AS node_exists:result:True +2024-10-30 06:46:08,559 - lightrag - INFO - _do_upsert_edge:query: + MATCH (source:`SCROOGE`) + WITH source + MATCH (target:`SCROOGE'S NEPHEW`) + MERGE (source)-[r:DIRECTED]->(target) + SET r += $properties + RETURN r + :result:None +2024-10-30 06:46:08,738 - lightrag - INFO - _check_edge_existence:query:MATCH (a:`CHRISTMAS`)-[r]-(b:`SCROOGE'S NEPHEW`) RETURN COUNT(r) > 0 AS edgeExists:result:True +2024-10-30 06:46:08,870 - lightrag - INFO - get_edge:query: + MATCH (start:`CHRISTMAS`)-[r]->(end:`SCROOGE'S NEPHEW`) + RETURN properties(r) as edge_properties + LIMIT 1 + :result:{'keywords': '"advocacy for holiday spirit, family dynamics"', 'weight': 9.0, 'description': '"Scrooge\'s Nephew defends the positive aspects of Christmas, contrasting Scrooge\'s view that the holiday is pointless."', 'source_id': 'chunk-5dac41b3f9eeaf794f0147400b1718cd'} +2024-10-30 06:46:08,994 - lightrag - INFO - _check_node_exists:query:MATCH (n:`CHRISTMAS`) RETURN count(n) > 0 AS node_exists:result:True +2024-10-30 06:46:09,171 - lightrag - INFO - _check_node_exists:query:MATCH (n:`SCROOGE'S NEPHEW`) RETURN count(n) > 0 AS node_exists:result:True +2024-10-30 06:46:09,357 - lightrag - INFO - _do_upsert_edge:query: + MATCH (source:`CHRISTMAS`) + WITH source + MATCH (target:`SCROOGE'S NEPHEW`) + MERGE (source)-[r:DIRECTED]->(target) + SET r += $properties + RETURN r + :result:None +2024-10-30 06:46:09,533 - lightrag - INFO - _check_edge_existence:query:MATCH (a:`COUNTING-HOUSE`)-[r]-(b:`SCROOGE`) RETURN COUNT(r) > 0 AS edgeExists:result:True +2024-10-30 06:46:09,669 - lightrag - INFO - get_edge:query: + MATCH (start:`COUNTING-HOUSE`)-[r]->(end:`SCROOGE`) + RETURN properties(r) as edge_properties + LIMIT 1 + :result:{'keywords': '"isolation, work environment""reflection, priorities"', 'weight': 16.0, 'description': '"Scrooge reflects on his life spent in the Counting-house, which represents his previous priorities focused on business over personal connections.""Scrooge\'s counting-house is a reflection of his cold character and attitude towards life, where he isolates himself from human interactions."', 'source_id': 'chunk-74e2466de2f67fd710ef2f20c0a8d9e0chunk-359187e7571bda4b0b08b2e0b6581e52'} +2024-10-30 06:46:09,800 - lightrag - INFO - _check_node_exists:query:MATCH (n:`COUNTING-HOUSE`) RETURN count(n) > 0 AS node_exists:result:True +2024-10-30 06:46:09,962 - lightrag - INFO - _check_node_exists:query:MATCH (n:`SCROOGE`) RETURN count(n) > 0 AS node_exists:result:True +2024-10-30 06:46:10,143 - lightrag - INFO - _do_upsert_edge:query: + MATCH (source:`COUNTING-HOUSE`) + WITH source + MATCH (target:`SCROOGE`) + MERGE (source)-[r:DIRECTED]->(target) + SET r += $properties + RETURN r + :result:None +2024-10-30 06:46:10,325 - lightrag - INFO - _check_edge_existence:query:MATCH (a:`BEGGARS`)-[r]-(b:`SCROOGE`) RETURN COUNT(r) > 0 AS edgeExists:result:True +2024-10-30 06:46:10,460 - lightrag - INFO - get_edge:query: + MATCH (start:`BEGGARS`)-[r]->(end:`SCROOGE`) + RETURN properties(r) as edge_properties + LIMIT 1 + :result:{'keywords': '"lack of compassion, social isolation"', 'weight': 6.0, 'description': '"Beggars do not seek help from Scrooge due to his reputation, highlighting his inability to connect and empathize with those in need."', 'source_id': 'chunk-74e2466de2f67fd710ef2f20c0a8d9e0'} +2024-10-30 06:46:10,590 - lightrag - INFO - _check_node_exists:query:MATCH (n:`BEGGARS`) RETURN count(n) > 0 AS node_exists:result:True +2024-10-30 06:46:10,746 - lightrag - INFO - _check_node_exists:query:MATCH (n:`SCROOGE`) RETURN count(n) > 0 AS node_exists:result:True +2024-10-30 06:46:10,934 - lightrag - INFO - _do_upsert_edge:query: + MATCH (source:`BEGGARS`) + WITH source + MATCH (target:`SCROOGE`) + MERGE (source)-[r:DIRECTED]->(target) + SET r += $properties + RETURN r + :result:None +2024-10-30 06:46:11,113 - lightrag - INFO - _check_edge_existence:query:MATCH (a:`CHILDREN`)-[r]-(b:`SCROOGE`) RETURN COUNT(r) > 0 AS edgeExists:result:True +2024-10-30 06:46:11,250 - lightrag - INFO - get_edge:query: + MATCH (start:`CHILDREN`)-[r]->(end:`SCROOGE`) + RETURN properties(r) as edge_properties + LIMIT 1 + :result:{'keywords': '"longing, innocence"', 'weight': 7.0, 'description': '"Scrooge\'s reaction to the Children he observes in his memories reveals his longing for the happiness he once knew but has since lost."', 'source_id': 'chunk-bb21d58d36c6306fd8810ddd51c4a971'} +2024-10-30 06:46:11,380 - lightrag - INFO - _check_node_exists:query:MATCH (n:`CHILDREN`) RETURN count(n) > 0 AS node_exists:result:True +2024-10-30 06:46:11,535 - lightrag - INFO - _check_node_exists:query:MATCH (n:`SCROOGE`) RETURN count(n) > 0 AS node_exists:result:True +2024-10-30 06:46:11,714 - lightrag - INFO - _do_upsert_edge:query: + MATCH (source:`CHILDREN`) + WITH source + MATCH (target:`SCROOGE`) + MERGE (source)-[r:DIRECTED]->(target) + SET r += $properties + RETURN r + :result:None +2024-10-30 06:46:11,892 - lightrag - INFO - _check_edge_existence:query:MATCH (a:`COLD WEATHER`)-[r]-(b:`SCROOGE`) RETURN COUNT(r) > 0 AS edgeExists:result:True +2024-10-30 06:46:12,029 - lightrag - INFO - get_edge:query: + MATCH (start:`COLD WEATHER`)-[r]->(end:`SCROOGE`) + RETURN properties(r) as edge_properties + LIMIT 1 + :result:{'keywords': '"atmosphere, personality mirror"', 'weight': 9.0, 'description': '"The cold weather reflects Scrooge\'s icy demeanor, emphasizing his negative attitude towards life and others."', 'source_id': 'chunk-74e2466de2f67fd710ef2f20c0a8d9e0'} +2024-10-30 06:46:12,161 - lightrag - INFO - _check_node_exists:query:MATCH (n:`COLD WEATHER`) RETURN count(n) > 0 AS node_exists:result:True +2024-10-30 06:46:12,324 - lightrag - INFO - _check_node_exists:query:MATCH (n:`SCROOGE`) RETURN count(n) > 0 AS node_exists:result:True +2024-10-30 06:46:12,509 - lightrag - INFO - _do_upsert_edge:query: + MATCH (source:`COLD WEATHER`) + WITH source + MATCH (target:`SCROOGE`) + MERGE (source)-[r:DIRECTED]->(target) + SET r += $properties + RETURN r + :result:None +2024-10-30 06:46:12,685 - lightrag - INFO - _check_edge_existence:query:MATCH (a:`FOG`)-[r]-(b:`SCROOGE`) RETURN COUNT(r) > 0 AS edgeExists:result:True +2024-10-30 06:46:12,817 - lightrag - INFO - get_edge:query: + MATCH (start:`FOG`)-[r]->(end:`SCROOGE`) + RETURN properties(r) as edge_properties + LIMIT 1 + :result:{'keywords': '"atmosphere, emotional reflection"', 'weight': 8.0, 'description': '"Fog represents the obscured vision of Scrooge\'s soul and emotions, aligning with his unknowable nature."', 'source_id': 'chunk-d9aac3484185ac66045df92214d245d5'} +2024-10-30 06:46:12,948 - lightrag - INFO - _check_node_exists:query:MATCH (n:`FOG`) RETURN count(n) > 0 AS node_exists:result:True +2024-10-30 06:46:13,102 - lightrag - INFO - _check_node_exists:query:MATCH (n:`SCROOGE`) RETURN count(n) > 0 AS node_exists:result:True +2024-10-30 06:46:13,286 - lightrag - INFO - _do_upsert_edge:query: + MATCH (source:`FOG`) + WITH source + MATCH (target:`SCROOGE`) + MERGE (source)-[r:DIRECTED]->(target) + SET r += $properties + RETURN r + :result:None +2024-10-30 06:46:13,466 - lightrag - INFO - _check_edge_existence:query:MATCH (a:`COURT`)-[r]-(b:`SCROOGE`) RETURN COUNT(r) > 0 AS edgeExists:result:True +2024-10-30 06:46:13,598 - lightrag - INFO - get_edge:query: + MATCH (start:`COURT`)-[r]->(end:`SCROOGE`) + RETURN properties(r) as edge_properties + LIMIT 1 + :result:{'keywords': '"social contrast, isolation"', 'weight': 7.0, 'description': '"The court serves as a contrasting backdrop to Scrooge’s private space, where social warmth and interaction occur, which he actively avoids."', 'source_id': 'chunk-74e2466de2f67fd710ef2f20c0a8d9e0'} +2024-10-30 06:46:13,728 - lightrag - INFO - _check_node_exists:query:MATCH (n:`COURT`) RETURN count(n) > 0 AS node_exists:result:True +2024-10-30 06:46:13,883 - lightrag - INFO - _check_node_exists:query:MATCH (n:`SCROOGE`) RETURN count(n) > 0 AS node_exists:result:True +2024-10-30 06:46:14,078 - lightrag - INFO - _do_upsert_edge:query: + MATCH (source:`COURT`) + WITH source + MATCH (target:`SCROOGE`) + MERGE (source)-[r:DIRECTED]->(target) + SET r += $properties + RETURN r + :result:None +2024-10-30 06:46:14,271 - lightrag - INFO - _check_edge_existence:query:MATCH (a:`MARLEY`)-[r]-(b:`SCROOGE AND MARLEY'S`) RETURN COUNT(r) > 0 AS edgeExists:result:True +2024-10-30 06:46:14,406 - lightrag - INFO - get_edge:query: + MATCH (start:`MARLEY`)-[r]->(end:`SCROOGE AND MARLEY'S`) + RETURN properties(r) as edge_properties + LIMIT 1 + :result:{'keywords': '"partnership, legacy"', 'weight': 6.0, 'description': '"Scrooge and Marley\'s is the business associated with Marley, emphasizing its history and the weight of Marley\'s legacy in shaping Scrooge\'s character."', 'source_id': 'chunk-5dac41b3f9eeaf794f0147400b1718cd'} +2024-10-30 06:46:14,540 - lightrag - INFO - _check_node_exists:query:MATCH (n:`MARLEY`) RETURN count(n) > 0 AS node_exists:result:True +2024-10-30 06:46:14,708 - lightrag - INFO - _check_node_exists:query:MATCH (n:`SCROOGE AND MARLEY'S`) RETURN count(n) > 0 AS node_exists:result:True +2024-10-30 06:46:14,900 - lightrag - INFO - _do_upsert_edge:query: + MATCH (source:`MARLEY`) + WITH source + MATCH (target:`SCROOGE AND MARLEY'S`) + MERGE (source)-[r:DIRECTED]->(target) + SET r += $properties + RETURN r + :result:None +2024-10-30 06:46:15,082 - lightrag - INFO - _check_edge_existence:query:MATCH (a:`CLERK`)-[r]-(b:`SCROOGE`) RETURN COUNT(r) > 0 AS edgeExists:result:True +2024-10-30 06:46:15,217 - lightrag - INFO - get_edge:query: + MATCH (start:`CLERK`)-[r]->(end:`SCROOGE`) + RETURN properties(r) as edge_properties + LIMIT 1 + :result:{'keywords': '"employment relationship, respect"', 'weight': 5.0, 'description': '"The Clerk communicates with Scrooge about his work, highlighting the lack of mutual respect in their employer-employee relationship."', 'source_id': 'chunk-d9aac3484185ac66045df92214d245d5'} +2024-10-30 06:46:15,352 - lightrag - INFO - _check_node_exists:query:MATCH (n:`CLERK`) RETURN count(n) > 0 AS node_exists:result:True +2024-10-30 06:46:15,514 - lightrag - INFO - _check_node_exists:query:MATCH (n:`SCROOGE`) RETURN count(n) > 0 AS node_exists:result:True +2024-10-30 06:46:15,698 - lightrag - INFO - _do_upsert_edge:query: + MATCH (source:`CLERK`) + WITH source + MATCH (target:`SCROOGE`) + MERGE (source)-[r:DIRECTED]->(target) + SET r += $properties + RETURN r + :result:None +2024-10-30 06:46:15,872 - lightrag - INFO - _check_edge_existence:query:MATCH (a:`SCROOGE`)-[r]-(b:`THE GENTLEMEN`) RETURN COUNT(r) > 0 AS edgeExists:result:True +2024-10-30 06:46:16,002 - lightrag - INFO - get_edge:query: + MATCH (start:`SCROOGE`)-[r]->(end:`THE GENTLEMEN`) + RETURN properties(r) as edge_properties + LIMIT 1 + :result:{'keywords': '"charity, social responsibility"', 'weight': 8.0, 'description': '"The Gentlemen approach Scrooge about donations for the poor, representing a charitable campaign that he strongly resists."', 'source_id': 'chunk-5dac41b3f9eeaf794f0147400b1718cd'} +2024-10-30 06:46:16,122 - lightrag - INFO - _check_node_exists:query:MATCH (n:`SCROOGE`) RETURN count(n) > 0 AS node_exists:result:True +2024-10-30 06:46:16,297 - lightrag - INFO - _check_node_exists:query:MATCH (n:`THE GENTLEMEN`) RETURN count(n) > 0 AS node_exists:result:True +2024-10-30 06:46:16,512 - lightrag - INFO - _do_upsert_edge:query: + MATCH (source:`SCROOGE`) + WITH source + MATCH (target:`THE GENTLEMEN`) + MERGE (source)-[r:DIRECTED]->(target) + SET r += $properties + RETURN r + :result:None +2024-10-30 06:46:16,687 - lightrag - INFO - _check_edge_existence:query:MATCH (a:`POOR AND DESTITUTE`)-[r]-(b:`SCROOGE`) RETURN COUNT(r) > 0 AS edgeExists:result:True +2024-10-30 06:46:16,819 - lightrag - INFO - get_edge:query: + MATCH (start:`POOR AND DESTITUTE`)-[r]->(end:`SCROOGE`) + RETURN properties(r) as edge_properties + LIMIT 1 + :result:{'keywords': '"miserliness, social neglect"', 'weight': 7.0, 'description': '"Scrooge\'s reluctance to support the Poor and Destitute highlights his miserly nature and his antagonism toward societal responsibility."', 'source_id': 'chunk-5dac41b3f9eeaf794f0147400b1718cd'} +2024-10-30 06:46:16,946 - lightrag - INFO - _check_node_exists:query:MATCH (n:`POOR AND DESTITUTE`) RETURN count(n) > 0 AS node_exists:result:True +2024-10-30 06:46:17,105 - lightrag - INFO - _check_node_exists:query:MATCH (n:`SCROOGE`) RETURN count(n) > 0 AS node_exists:result:True +2024-10-30 06:46:17,285 - lightrag - INFO - _do_upsert_edge:query: + MATCH (source:`POOR AND DESTITUTE`) + WITH source + MATCH (target:`SCROOGE`) + MERGE (source)-[r:DIRECTED]->(target) + SET r += $properties + RETURN r + :result:None +2024-10-30 06:46:17,463 - lightrag - INFO - _check_edge_existence:query:MATCH (a:`CHRISTMAS-TIME`)-[r]-(b:`SCROOGE'S NEPHEW`) RETURN COUNT(r) > 0 AS edgeExists:result:True +2024-10-30 06:46:17,600 - lightrag - INFO - get_edge:query: + MATCH (start:`CHRISTMAS-TIME`)-[r]->(end:`SCROOGE'S NEPHEW`) + RETURN properties(r) as edge_properties + LIMIT 1 + :result:{'keywords': '"celebration, family dynamics"', 'weight': 8.0, 'description': '"Scrooge\'s Nephew celebrates Christmas-Time as a period for kindness and charity, clashing with Scrooge\'s cynical view."', 'source_id': 'chunk-5dac41b3f9eeaf794f0147400b1718cd'} +2024-10-30 06:46:17,726 - lightrag - INFO - _check_node_exists:query:MATCH (n:`CHRISTMAS-TIME`) RETURN count(n) > 0 AS node_exists:result:True +2024-10-30 06:46:17,892 - lightrag - INFO - _check_node_exists:query:MATCH (n:`SCROOGE'S NEPHEW`) RETURN count(n) > 0 AS node_exists:result:True +2024-10-30 06:46:18,069 - lightrag - INFO - _do_upsert_edge:query: + MATCH (source:`CHRISTMAS-TIME`) + WITH source + MATCH (target:`SCROOGE'S NEPHEW`) + MERGE (source)-[r:DIRECTED]->(target) + SET r += $properties + RETURN r + :result:None +2024-10-30 06:46:18,248 - lightrag - INFO - _check_edge_existence:query:MATCH (a:`BEDLAM`)-[r]-(b:`SCROOGE`) RETURN COUNT(r) > 0 AS edgeExists:result:True +2024-10-30 06:46:18,379 - lightrag - INFO - get_edge:query: + MATCH (start:`BEDLAM`)-[r]->(end:`SCROOGE`) + RETURN properties(r) as edge_properties + LIMIT 1 + :result:{'keywords': '"disdain, societal norms"', 'weight': 6.0, 'description': '"Scrooge invokes the concept of Bedlam to express his disbelief and frustration at the cheerfulness of others, implying a disdain for societal norms."', 'source_id': 'chunk-5dac41b3f9eeaf794f0147400b1718cd'} +2024-10-30 06:46:18,512 - lightrag - INFO - _check_node_exists:query:MATCH (n:`BEDLAM`) RETURN count(n) > 0 AS node_exists:result:True +2024-10-30 06:46:18,671 - lightrag - INFO - _check_node_exists:query:MATCH (n:`SCROOGE`) RETURN count(n) > 0 AS node_exists:result:True +2024-10-30 06:46:18,844 - lightrag - INFO - _do_upsert_edge:query: + MATCH (source:`BEDLAM`) + WITH source + MATCH (target:`SCROOGE`) + MERGE (source)-[r:DIRECTED]->(target) + SET r += $properties + RETURN r + :result:None +2024-10-30 06:46:19,019 - lightrag - INFO - _check_edge_existence:query:MATCH (a:`SCROOGE`)-[r]-(b:`THE GENTLEMAN`) RETURN COUNT(r) > 0 AS edgeExists:result:True +2024-10-30 06:46:19,150 - lightrag - INFO - get_edge:query: + MATCH (start:`SCROOGE`)-[r]->(end:`THE GENTLEMAN`) + RETURN properties(r) as edge_properties + LIMIT 1 + :result:{'keywords': '"charity, conflict of values"', 'weight': 8.0, 'description': '"Scrooge and The Gentleman have opposing views on charity and helping the poor during Christmas, showing a stark contrast in values."', 'source_id': 'chunk-90d5764e301321c087f5a8f78b73a145'} +2024-10-30 06:46:19,265 - lightrag - INFO - _check_node_exists:query:MATCH (n:`SCROOGE`) RETURN count(n) > 0 AS node_exists:result:True +2024-10-30 06:46:19,431 - lightrag - INFO - _check_node_exists:query:MATCH (n:`THE GENTLEMAN`) RETURN count(n) > 0 AS node_exists:result:True +2024-10-30 06:46:19,617 - lightrag - INFO - _do_upsert_edge:query: + MATCH (source:`SCROOGE`) + WITH source + MATCH (target:`THE GENTLEMAN`) + MERGE (source)-[r:DIRECTED]->(target) + SET r += $properties + RETURN r + :result:None +2024-10-30 06:46:19,790 - lightrag - INFO - _check_edge_existence:query:MATCH (a:`THE GENTLEMAN`)-[r]-(b:`THE POOR LAW`) RETURN COUNT(r) > 0 AS edgeExists:result:True +2024-10-30 06:46:19,920 - lightrag - INFO - get_edge:query: + MATCH (start:`THE GENTLEMAN`)-[r]->(end:`THE POOR LAW`) + RETURN properties(r) as edge_properties + LIMIT 1 + :result:{'keywords': '"charity, systemic support"', 'weight': 6.0, 'description': '"The Gentleman references the Poor Law as part of his argument for helping the needy, illustrating systemic support for the impoverished."', 'source_id': 'chunk-90d5764e301321c087f5a8f78b73a145'} +2024-10-30 06:46:20,052 - lightrag - INFO - _check_node_exists:query:MATCH (n:`THE GENTLEMAN`) RETURN count(n) > 0 AS node_exists:result:True +2024-10-30 06:46:20,222 - lightrag - INFO - _check_node_exists:query:MATCH (n:`THE POOR LAW`) RETURN count(n) > 0 AS node_exists:result:True +2024-10-30 06:46:20,404 - lightrag - INFO - _do_upsert_edge:query: + MATCH (source:`THE GENTLEMAN`) + WITH source + MATCH (target:`THE POOR LAW`) + MERGE (source)-[r:DIRECTED]->(target) + SET r += $properties + RETURN r + :result:None +2024-10-30 06:46:20,584 - lightrag - INFO - _check_edge_existence:query:MATCH (a:`THE POOR LAW`)-[r]-(b:`THE UNION WORKHOUSES`) RETURN COUNT(r) > 0 AS edgeExists:result:True +2024-10-30 06:46:20,723 - lightrag - INFO - get_edge:query: + MATCH (start:`THE POOR LAW`)-[r]->(end:`THE UNION WORKHOUSES`) + RETURN properties(r) as edge_properties + LIMIT 1 + :result:{'keywords': '"support mechanisms, charity"', 'weight': 7.0, 'description': '"The Poor Law and Union Workhouses are connected as they both serve as mechanisms for helping the poor, albeit with differing implications for charity."', 'source_id': 'chunk-90d5764e301321c087f5a8f78b73a145'} +2024-10-30 06:46:20,854 - lightrag - INFO - _check_node_exists:query:MATCH (n:`THE POOR LAW`) RETURN count(n) > 0 AS node_exists:result:True +2024-10-30 06:46:21,016 - lightrag - INFO - _check_node_exists:query:MATCH (n:`THE UNION WORKHOUSES`) RETURN count(n) > 0 AS node_exists:result:True +2024-10-30 06:46:21,193 - lightrag - INFO - _do_upsert_edge:query: + MATCH (source:`THE POOR LAW`) + WITH source + MATCH (target:`THE UNION WORKHOUSES`) + MERGE (source)-[r:DIRECTED]->(target) + SET r += $properties + RETURN r + :result:None +2024-10-30 06:46:21,369 - lightrag - INFO - _check_edge_existence:query:MATCH (a:`THE LADY MAYOR`)-[r]-(b:`THE MANSION HOUSE`) RETURN COUNT(r) > 0 AS edgeExists:result:True +2024-10-30 06:46:21,502 - lightrag - INFO - get_edge:query: + MATCH (start:`THE LADY MAYOR`)-[r]->(end:`THE MANSION HOUSE`) + RETURN properties(r) as edge_properties + LIMIT 1 + :result:{'keywords': '"holiday preparations, community significance"', 'weight': 8.0, 'description': '"The Lady Mayor prepares for Christmas festivities at the Mansion House, highlighting the importance of the event to the community."', 'source_id': 'chunk-90d5764e301321c087f5a8f78b73a145'} +2024-10-30 06:46:21,634 - lightrag - INFO - _check_node_exists:query:MATCH (n:`THE LADY MAYOR`) RETURN count(n) > 0 AS node_exists:result:True +2024-10-30 06:46:21,809 - lightrag - INFO - _check_node_exists:query:MATCH (n:`THE MANSION HOUSE`) RETURN count(n) > 0 AS node_exists:result:True +2024-10-30 06:46:21,994 - lightrag - INFO - _do_upsert_edge:query: + MATCH (source:`THE LADY MAYOR`) + WITH source + MATCH (target:`THE MANSION HOUSE`) + MERGE (source)-[r:DIRECTED]->(target) + SET r += $properties + RETURN r + :result:None +2024-10-30 06:46:22,173 - lightrag - INFO - _check_edge_existence:query:MATCH (a:`BOB CRATCHIT`)-[r]-(b:`SCROOGE`) RETURN COUNT(r) > 0 AS edgeExists:result:True +2024-10-30 06:46:22,308 - lightrag - INFO - get_edge:query: + MATCH (start:`BOB CRATCHIT`)-[r]->(end:`SCROOGE`) + RETURN properties(r) as edge_properties + LIMIT 1 + :result:{'keywords': '"employment, generosity""employment, power dynamic""employment, social reflection""family dynamics, acknowledgment""generosity, relationship change""gratitude, redemption"', 'weight': 40.0, 'description': '"Bob Cratchit tries to maintain a positive atmosphere during the Christmas feast despite the negative association with Scrooge.""Bob praises Scrooge as \'The Founder of the Feast\', showing appreciation despite Scrooge’s previous miserliness.""Scrooge decides to send a turkey to Bob Cratchit, indicating a newfound kindness towards him and his family.""Scrooge is Bob Cratchit\'s employer, and he reflects on the challenges Bob faces regarding family and food on Christmas Day.".""Scrooge is the employer of Bob Cratchit, demonstrating a power dynamic characterized by Scrooge\'s harsh treatment and Bob\'s subservient role.""Scrooge reprimands Bob for arriving late, but ultimately decides to raise his salary, signaling a significant change in their employer-employee relationship."', 'source_id': 'chunk-503f0bfa5453467c7c61d160a3540ecachunk-90b95db5c53e4364a6bee36b7aa4d70fchunk-b0f459f5af1c3a5e0b92cbe4ee48b77bchunk-d9aac3484185ac66045df92214d245d5chunk-94bea83e7153fc2064aa382b494936a1chunk-19d72c57ae3408758b18d2568e86dc6b'} +2024-10-30 06:46:22,431 - lightrag - INFO - _check_node_exists:query:MATCH (n:`BOB CRATCHIT`) RETURN count(n) > 0 AS node_exists:result:True +2024-10-30 06:46:22,586 - lightrag - INFO - _check_node_exists:query:MATCH (n:`SCROOGE`) RETURN count(n) > 0 AS node_exists:result:True +2024-10-30 06:46:22,765 - lightrag - INFO - _do_upsert_edge:query: + MATCH (source:`BOB CRATCHIT`) + WITH source + MATCH (target:`SCROOGE`) + MERGE (source)-[r:DIRECTED]->(target) + SET r += $properties + RETURN r + :result:None +2024-10-30 06:46:22,941 - lightrag - INFO - _check_edge_existence:query:MATCH (a:`CHRISTMAS EVE`)-[r]-(b:`SCROOGE`) RETURN COUNT(r) > 0 AS edgeExists:result:True +2024-10-30 06:46:23,074 - lightrag - INFO - get_edge:query: + MATCH (start:`CHRISTMAS EVE`)-[r]->(end:`SCROOGE`) + RETURN properties(r) as edge_properties + LIMIT 1 + :result:{'keywords': '"holiday spirit, character development"', 'weight': 8.0, 'description': '"Scrooge\'s actions and attitudes towards Christmas Eve highlight his disdain for traditional celebrations, setting the tone for his character arc."', 'source_id': 'chunk-d9aac3484185ac66045df92214d245d5'} +2024-10-30 06:46:23,201 - lightrag - INFO - _check_node_exists:query:MATCH (n:`CHRISTMAS EVE`) RETURN count(n) > 0 AS node_exists:result:True +2024-10-30 06:46:23,360 - lightrag - INFO - _check_node_exists:query:MATCH (n:`SCROOGE`) RETURN count(n) > 0 AS node_exists:result:True +2024-10-30 06:46:23,538 - lightrag - INFO - _do_upsert_edge:query: + MATCH (source:`CHRISTMAS EVE`) + WITH source + MATCH (target:`SCROOGE`) + MERGE (source)-[r:DIRECTED]->(target) + SET r += $properties + RETURN r + :result:None +2024-10-30 06:46:23,712 - lightrag - INFO - _check_edge_existence:query:MATCH (a:`BOB CRATCHIT`)-[r]-(b:`CHRISTMAS EVE`) RETURN COUNT(r) > 0 AS edgeExists:result:True +2024-10-30 06:46:23,845 - lightrag - INFO - get_edge:query: + MATCH (start:`BOB CRATCHIT`)-[r]->(end:`CHRISTMAS EVE`) + RETURN properties(r) as edge_properties + LIMIT 1 + :result:{'keywords': '"celebration, contrast"', 'weight': 5.0, 'description': '"Bob Cratchit embodies the joy of Christmas Eve while Scrooge\'s perspective starkly contrasts with Bob\'s happiness during the holiday season."', 'source_id': 'chunk-d9aac3484185ac66045df92214d245d5'} +2024-10-30 06:46:23,969 - lightrag - INFO - _check_node_exists:query:MATCH (n:`BOB CRATCHIT`) RETURN count(n) > 0 AS node_exists:result:True +2024-10-30 06:46:24,136 - lightrag - INFO - _check_node_exists:query:MATCH (n:`CHRISTMAS EVE`) RETURN count(n) > 0 AS node_exists:result:True +2024-10-30 06:46:24,318 - lightrag - INFO - _do_upsert_edge:query: + MATCH (source:`BOB CRATCHIT`) + WITH source + MATCH (target:`CHRISTMAS EVE`) + MERGE (source)-[r:DIRECTED]->(target) + SET r += $properties + RETURN r + :result:None +2024-10-30 06:46:24,505 - lightrag - INFO - _check_edge_existence:query:MATCH (a:`SCROOGE`)-[r]-(b:`THE COUNTING-HOUSE`) RETURN COUNT(r) > 0 AS edgeExists:result:True +2024-10-30 06:46:24,641 - lightrag - INFO - get_edge:query: + MATCH (start:`SCROOGE`)-[r]->(end:`THE COUNTING-HOUSE`) + RETURN properties(r) as edge_properties + LIMIT 1 + :result:{'keywords': '"work environment, character development""work environment, personality reflection"', 'weight': 14.0, 'description': '"Scrooge\'s work environment reflects his personality, being cold and uninviting, mirroring his discontent with life.""The Counting-House is where Scrooge works, illustrating the environment that shapes his bleak personality."', 'source_id': 'chunk-d9aac3484185ac66045df92214d245d5chunk-74e2466de2f67fd710ef2f20c0a8d9e0'} +2024-10-30 06:46:24,763 - lightrag - INFO - _check_node_exists:query:MATCH (n:`SCROOGE`) RETURN count(n) > 0 AS node_exists:result:True +2024-10-30 06:46:24,929 - lightrag - INFO - _check_node_exists:query:MATCH (n:`THE COUNTING-HOUSE`) RETURN count(n) > 0 AS node_exists:result:True +2024-10-30 06:46:25,106 - lightrag - INFO - _do_upsert_edge:query: + MATCH (source:`SCROOGE`) + WITH source + MATCH (target:`THE COUNTING-HOUSE`) + MERGE (source)-[r:DIRECTED]->(target) + SET r += $properties + RETURN r + :result:None +2024-10-30 06:46:25,288 - lightrag - INFO - _check_edge_existence:query:MATCH (a:`SCROOGE`)-[r]-(b:`THE KNOCKER`) RETURN COUNT(r) > 0 AS edgeExists:result:True +2024-10-30 06:46:25,420 - lightrag - INFO - get_edge:query: + MATCH (start:`SCROOGE`)-[r]->(end:`THE KNOCKER`) + RETURN properties(r) as edge_properties + LIMIT 1 + :result:{'keywords': '"appreciation, transformation""symbolism, transformation"', 'weight': 15.0, 'description': '"Scrooge admires the knocker at his door, marking a positive change in his attitude towards life and surroundings.""The Knocker, transforming into Marley\'s face, symbolizes Scrooge\'s ghostly past and impending redemption challenges."', 'source_id': 'chunk-d9aac3484185ac66045df92214d245d5chunk-8f738cb25d60a7dab782162d9d0a25ed'} +2024-10-30 06:46:25,545 - lightrag - INFO - _check_node_exists:query:MATCH (n:`SCROOGE`) RETURN count(n) > 0 AS node_exists:result:True +2024-10-30 06:46:25,714 - lightrag - INFO - _check_node_exists:query:MATCH (n:`THE KNOCKER`) RETURN count(n) > 0 AS node_exists:result:True +2024-10-30 06:46:25,903 - lightrag - INFO - _do_upsert_edge:query: + MATCH (source:`SCROOGE`) + WITH source + MATCH (target:`THE KNOCKER`) + MERGE (source)-[r:DIRECTED]->(target) + SET r += $properties + RETURN r + :result:None +2024-10-30 06:46:26,089 - lightrag - INFO - _check_edge_existence:query:MATCH (a:`SCROOGE`)-[r]-(b:`THE YARD`) RETURN COUNT(r) > 0 AS edgeExists:result:True +2024-10-30 06:46:26,223 - lightrag - INFO - get_edge:query: + MATCH (start:`SCROOGE`)-[r]->(end:`THE YARD`) + RETURN properties(r) as edge_properties + LIMIT 1 + :result:{'keywords': '"isolation, emotional landscape"', 'weight': 8.0, 'description': '"The Yard represents the isolation in Scrooge\'s life, physically and metaphorically reflecting his emotional state."', 'source_id': 'chunk-d9aac3484185ac66045df92214d245d5'} +2024-10-30 06:46:26,340 - lightrag - INFO - _check_node_exists:query:MATCH (n:`SCROOGE`) RETURN count(n) > 0 AS node_exists:result:True +2024-10-30 06:46:26,513 - lightrag - INFO - _check_node_exists:query:MATCH (n:`THE YARD`) RETURN count(n) > 0 AS node_exists:result:True +2024-10-30 06:46:26,690 - lightrag - INFO - _do_upsert_edge:query: + MATCH (source:`SCROOGE`) + WITH source + MATCH (target:`THE YARD`) + MERGE (source)-[r:DIRECTED]->(target) + SET r += $properties + RETURN r + :result:None +2024-10-30 06:46:26,871 - lightrag - INFO - _check_edge_existence:query:MATCH (a:`SCROOGE`)-[r]-(b:`THE FOG AND FROST`) RETURN COUNT(r) > 0 AS edgeExists:result:True +2024-10-30 06:46:27,001 - lightrag - INFO - get_edge:query: + MATCH (start:`SCROOGE`)-[r]->(end:`THE FOG AND FROST`) + RETURN properties(r) as edge_properties + LIMIT 1 + :result:{'keywords': '"atmosphere, emotional coldness"', 'weight': 7.0, 'description': '"The Fog and Frost enveloping Scrooge\'s home reflect the chilling atmosphere of his life and his emotional coldness."', 'source_id': 'chunk-d9aac3484185ac66045df92214d245d5'} +2024-10-30 06:46:27,118 - lightrag - INFO - _check_node_exists:query:MATCH (n:`SCROOGE`) RETURN count(n) > 0 AS node_exists:result:True +2024-10-30 06:46:27,289 - lightrag - INFO - _check_node_exists:query:MATCH (n:`THE FOG AND FROST`) RETURN count(n) > 0 AS node_exists:result:True +2024-10-30 06:46:27,474 - lightrag - INFO - _do_upsert_edge:query: + MATCH (source:`SCROOGE`) + WITH source + MATCH (target:`THE FOG AND FROST`) + MERGE (source)-[r:DIRECTED]->(target) + SET r += $properties + RETURN r + :result:None +2024-10-30 06:46:27,651 - lightrag - INFO - _check_edge_existence:query:MATCH (a:`BOB CRATCHIT`)-[r]-(b:`THE COUNTING-HOUSE CLERK`) RETURN COUNT(r) > 0 AS edgeExists:result:True +2024-10-30 06:46:27,787 - lightrag - INFO - get_edge:query: + MATCH (start:`BOB CRATCHIT`)-[r]->(end:`THE COUNTING-HOUSE CLERK`) + RETURN properties(r) as edge_properties + LIMIT 1 + :result:{'keywords': '"workforce dynamics, character contrast"', 'weight': 6.0, 'description': '"Bob Cratchit and The Counting-House Clerk represent the working class under Scrooge\'s employment, showcasing different character traits in the context of their work."', 'source_id': 'chunk-d9aac3484185ac66045df92214d245d5'} +2024-10-30 06:46:27,904 - lightrag - INFO - _check_node_exists:query:MATCH (n:`BOB CRATCHIT`) RETURN count(n) > 0 AS node_exists:result:True +2024-10-30 06:46:28,070 - lightrag - INFO - _check_node_exists:query:MATCH (n:`THE COUNTING-HOUSE CLERK`) RETURN count(n) > 0 AS node_exists:result:True +2024-10-30 06:46:28,246 - lightrag - INFO - _do_upsert_edge:query: + MATCH (source:`BOB CRATCHIT`) + WITH source + MATCH (target:`THE COUNTING-HOUSE CLERK`) + MERGE (source)-[r:DIRECTED]->(target) + SET r += $properties + RETURN r + :result:None +2024-10-30 06:46:28,423 - lightrag - INFO - _check_edge_existence:query:MATCH (a:`SCROOGE`)-[r]-(b:`THE GHOST OF MARLEY`) RETURN COUNT(r) > 0 AS edgeExists:result:True +2024-10-30 06:46:28,561 - lightrag - INFO - get_edge:query: + MATCH (start:`SCROOGE`)-[r]->(end:`THE GHOST OF MARLEY`) + RETURN properties(r) as edge_properties + LIMIT 1 + :result:{'keywords': '"supernatural, moral reckoning"', 'weight': 9.0, 'description': '"The Ghost of Marley symbolizes Scrooge\'s past mistakes and serves as a catalyst for his transformation."', 'source_id': 'chunk-d9aac3484185ac66045df92214d245d5'} +2024-10-30 06:46:28,679 - lightrag - INFO - _check_node_exists:query:MATCH (n:`SCROOGE`) RETURN count(n) > 0 AS node_exists:result:True +2024-10-30 06:46:28,845 - lightrag - INFO - _check_node_exists:query:MATCH (n:`THE GHOST OF MARLEY`) RETURN count(n) > 0 AS node_exists:result:True +2024-10-30 06:46:29,024 - lightrag - INFO - _do_upsert_edge:query: + MATCH (source:`SCROOGE`) + WITH source + MATCH (target:`THE GHOST OF MARLEY`) + MERGE (source)-[r:DIRECTED]->(target) + SET r += $properties + RETURN r + :result:None +2024-10-30 06:46:29,197 - lightrag - INFO - _check_edge_existence:query:MATCH (a:`BOB CRATCHIT`)-[r]-(b:`CAMDEN TOWN`) RETURN COUNT(r) > 0 AS edgeExists:result:True +2024-10-30 06:46:29,330 - lightrag - INFO - get_edge:query: + MATCH (start:`BOB CRATCHIT`)-[r]->(end:`CAMDEN TOWN`) + RETURN properties(r) as edge_properties + LIMIT 1 + :result:{'keywords': '"contrast, warmth"', 'weight': 6.0, 'description': '"Camden Town serves as a location representing warmth and family contrast to Scrooge\'s loneliness."', 'source_id': 'chunk-d9aac3484185ac66045df92214d245d5'} +2024-10-30 06:46:29,447 - lightrag - INFO - _check_node_exists:query:MATCH (n:`BOB CRATCHIT`) RETURN count(n) > 0 AS node_exists:result:True +2024-10-30 06:46:29,613 - lightrag - INFO - _check_node_exists:query:MATCH (n:`CAMDEN TOWN`) RETURN count(n) > 0 AS node_exists:result:True +2024-10-30 06:46:29,795 - lightrag - INFO - _do_upsert_edge:query: + MATCH (source:`BOB CRATCHIT`) + WITH source + MATCH (target:`CAMDEN TOWN`) + MERGE (source)-[r:DIRECTED]->(target) + SET r += $properties + RETURN r + :result:None +2024-10-30 06:46:29,975 - lightrag - INFO - _check_edge_existence:query:MATCH (a:`THE CANDLE`)-[r]-(b:`THE FOG AND FROST`) RETURN COUNT(r) > 0 AS edgeExists:result:True +2024-10-30 06:46:30,108 - lightrag - INFO - get_edge:query: + MATCH (start:`THE CANDLE`)-[r]->(end:`THE FOG AND FROST`) + RETURN properties(r) as edge_properties + LIMIT 1 + :result:{'keywords': '"hope, contrast"', 'weight': 6.0, 'description': '"The Candle symbolizes a flicker of warmth and hope in the bleak setting of Fog and Frost, contrasting the overall atmosphere."', 'source_id': 'chunk-d9aac3484185ac66045df92214d245d5'} +2024-10-30 06:46:30,235 - lightrag - INFO - _check_node_exists:query:MATCH (n:`THE CANDLE`) RETURN count(n) > 0 AS node_exists:result:True +2024-10-30 06:46:30,406 - lightrag - INFO - _check_node_exists:query:MATCH (n:`THE FOG AND FROST`) RETURN count(n) > 0 AS node_exists:result:True +2024-10-30 06:46:30,590 - lightrag - INFO - _do_upsert_edge:query: + MATCH (source:`THE CANDLE`) + WITH source + MATCH (target:`THE FOG AND FROST`) + MERGE (source)-[r:DIRECTED]->(target) + SET r += $properties + RETURN r + :result:None +2024-10-30 06:46:30,768 - lightrag - INFO - _check_edge_existence:query:MATCH (a:`SCROOGE`)-[r]-(b:`THE HOUSE`) RETURN COUNT(r) > 0 AS edgeExists:result:True +2024-10-30 06:46:30,903 - lightrag - INFO - get_edge:query: + MATCH (start:`SCROOGE`)-[r]->(end:`THE HOUSE`) + RETURN properties(r) as edge_properties + LIMIT 1 + :result:{'keywords': '"haunting, setting influence"', 'weight': 8.0, 'description': '"Scrooge\'s experiences with Marley\'s Ghost occur within The House, which plays a crucial role in the haunting atmosphere."', 'source_id': 'chunk-9c43dac2fcd5b578242d907ea6f8fc7b'} +2024-10-30 06:46:31,022 - lightrag - INFO - _check_node_exists:query:MATCH (n:`SCROOGE`) RETURN count(n) > 0 AS node_exists:result:True +2024-10-30 06:46:31,185 - lightrag - INFO - _check_node_exists:query:MATCH (n:`THE HOUSE`) RETURN count(n) > 0 AS node_exists:result:True +2024-10-30 06:46:31,363 - lightrag - INFO - _do_upsert_edge:query: + MATCH (source:`SCROOGE`) + WITH source + MATCH (target:`THE HOUSE`) + MERGE (source)-[r:DIRECTED]->(target) + SET r += $properties + RETURN r + :result:None +2024-10-30 06:46:31,542 - lightrag - INFO - _check_edge_existence:query:MATCH (a:`MARLEY`)-[r]-(b:`THE GHOST`) RETURN COUNT(r) > 0 AS edgeExists:result:True +2024-10-30 06:46:31,676 - lightrag - INFO - get_edge:query: + MATCH (start:`MARLEY`)-[r]->(end:`THE GHOST`) + RETURN properties(r) as edge_properties + LIMIT 1 + :result:{'keywords': '"haunting, past choices"', 'weight': 9.0, 'description': '"Marley is the embodiment of The Ghost that appears to Scrooge, representing past choices and the consequences of his actions."', 'source_id': 'chunk-9c43dac2fcd5b578242d907ea6f8fc7b'} +2024-10-30 06:46:31,814 - lightrag - INFO - _check_node_exists:query:MATCH (n:`MARLEY`) RETURN count(n) > 0 AS node_exists:result:True +2024-10-30 06:46:31,986 - lightrag - INFO - _check_node_exists:query:MATCH (n:`THE GHOST`) RETURN count(n) > 0 AS node_exists:result:True +2024-10-30 06:46:32,169 - lightrag - INFO - _do_upsert_edge:query: + MATCH (source:`MARLEY`) + WITH source + MATCH (target:`THE GHOST`) + MERGE (source)-[r:DIRECTED]->(target) + SET r += $properties + RETURN r + :result:None +2024-10-30 06:46:32,350 - lightrag - INFO - _check_edge_existence:query:MATCH (a:`SCROOGE`)-[r]-(b:`THE BELL`) RETURN COUNT(r) > 0 AS edgeExists:result:True +2024-10-30 06:46:32,485 - lightrag - INFO - get_edge:query: + MATCH (start:`SCROOGE`)-[r]->(end:`THE BELL`) + RETURN properties(r) as edge_properties + LIMIT 1 + :result:{'keywords': '"foreboding, supernatural"', 'weight': 8.0, 'description': '"The Bell\'s movement and sound foreshadow Marley\'s Ghost\'s appearance, enhancing the sense of impending supernatural activity in Scrooge\'s environment."', 'source_id': 'chunk-9c43dac2fcd5b578242d907ea6f8fc7b'} +2024-10-30 06:46:32,608 - lightrag - INFO - _check_node_exists:query:MATCH (n:`SCROOGE`) RETURN count(n) > 0 AS node_exists:result:True +2024-10-30 06:46:32,772 - lightrag - INFO - _check_node_exists:query:MATCH (n:`THE BELL`) RETURN count(n) > 0 AS node_exists:result:True +2024-10-30 06:46:32,955 - lightrag - INFO - _do_upsert_edge:query: + MATCH (source:`SCROOGE`) + WITH source + MATCH (target:`THE BELL`) + MERGE (source)-[r:DIRECTED]->(target) + SET r += $properties + RETURN r + :result:None +2024-10-30 06:46:33,132 - lightrag - INFO - _check_edge_existence:query:MATCH (a:`MARLEY`)-[r]-(b:`THE HEAVY CHAIN`) RETURN COUNT(r) > 0 AS edgeExists:result:True +2024-10-30 06:46:33,266 - lightrag - INFO - get_edge:query: + MATCH (start:`MARLEY`)-[r]->(end:`THE HEAVY CHAIN`) + RETURN properties(r) as edge_properties + LIMIT 1 + :result:{'keywords': '"burden, consequence"', 'weight': 9.0, 'description': '"The Heavy Chain is linked to Marley as it suggests the burdens he carries from his earthly life, which he now haunts Scrooge with."', 'source_id': 'chunk-9c43dac2fcd5b578242d907ea6f8fc7b'} +2024-10-30 06:46:33,397 - lightrag - INFO - _check_node_exists:query:MATCH (n:`MARLEY`) RETURN count(n) > 0 AS node_exists:result:True +2024-10-30 06:46:33,573 - lightrag - INFO - _check_node_exists:query:MATCH (n:`THE HEAVY CHAIN`) RETURN count(n) > 0 AS node_exists:result:True +2024-10-30 06:46:33,757 - lightrag - INFO - _do_upsert_edge:query: + MATCH (source:`MARLEY`) + WITH source + MATCH (target:`THE HEAVY CHAIN`) + MERGE (source)-[r:DIRECTED]->(target) + SET r += $properties + RETURN r + :result:None +2024-10-30 06:46:33,931 - lightrag - INFO - _check_edge_existence:query:MATCH (a:`SCROOGE`)-[r]-(b:`THE WINE-MERCHANT'S CELLAR`) RETURN COUNT(r) > 0 AS edgeExists:result:True +2024-10-30 06:46:34,063 - lightrag - INFO - get_edge:query: + MATCH (start:`SCROOGE`)-[r]->(end:`THE WINE-MERCHANT'S CELLAR`) + RETURN properties(r) as edge_properties + LIMIT 1 + :result:{'keywords': '"atmosphere, haunting"', 'weight': 8.0, 'description': '"Scrooge hears the dragging chains from The Wine-Merchant\'s Cellar, indicating that the haunting presence is felt throughout The House."', 'source_id': 'chunk-9c43dac2fcd5b578242d907ea6f8fc7b'} +2024-10-30 06:46:34,182 - lightrag - INFO - _check_node_exists:query:MATCH (n:`SCROOGE`) RETURN count(n) > 0 AS node_exists:result:True +2024-10-30 06:46:34,348 - lightrag - INFO - _check_node_exists:query:MATCH (n:`THE WINE-MERCHANT'S CELLAR`) RETURN count(n) > 0 AS node_exists:result:True +2024-10-30 06:46:34,530 - lightrag - INFO - _do_upsert_edge:query: + MATCH (source:`SCROOGE`) + WITH source + MATCH (target:`THE WINE-MERCHANT'S CELLAR`) + MERGE (source)-[r:DIRECTED]->(target) + SET r += $properties + RETURN r + :result:None +2024-10-30 06:46:34,709 - lightrag - INFO - _check_edge_existence:query:MATCH (a:`SCROOGE`)-[r]-(b:`THE GRATE`) RETURN COUNT(r) > 0 AS edgeExists:result:True +2024-10-30 06:46:34,847 - lightrag - INFO - get_edge:query: + MATCH (start:`SCROOGE`)-[r]->(end:`THE GRATE`) + RETURN properties(r) as edge_properties + LIMIT 1 + :result:{'keywords': '"isolation, setting mood"', 'weight': 6.0, 'description': '"The Grate\'s cold fire adds to the bleak setting of Scrooge\'s home, illustrating his disconnection from warmth and comfort before the supernatural events unfold."', 'source_id': 'chunk-9c43dac2fcd5b578242d907ea6f8fc7b'} +2024-10-30 06:46:34,963 - lightrag - INFO - _check_node_exists:query:MATCH (n:`SCROOGE`) RETURN count(n) > 0 AS node_exists:result:True +2024-10-30 06:46:35,136 - lightrag - INFO - _check_node_exists:query:MATCH (n:`THE GRATE`) RETURN count(n) > 0 AS node_exists:result:True +2024-10-30 06:46:35,316 - lightrag - INFO - _do_upsert_edge:query: + MATCH (source:`SCROOGE`) + WITH source + MATCH (target:`THE GRATE`) + MERGE (source)-[r:DIRECTED]->(target) + SET r += $properties + RETURN r + :result:None +2024-10-30 06:46:35,495 - lightrag - INFO - _check_edge_existence:query:MATCH (a:`SCROOGE`)-[r]-(b:`THE DYING FLAME`) RETURN COUNT(r) > 0 AS edgeExists:result:True +2024-10-30 06:46:35,628 - lightrag - INFO - get_edge:query: + MATCH (start:`SCROOGE`)-[r]->(end:`THE DYING FLAME`) + RETURN properties(r) as edge_properties + LIMIT 1 + :result:{'keywords': '"fear, conflict"', 'weight': 8.0, 'description': '"The Dying Flame\'s flickering is reflective of Scrooge\'s fear and mental state in the presence of the ghost, amplifying his internal conflict."', 'source_id': 'chunk-9c43dac2fcd5b578242d907ea6f8fc7b'} +2024-10-30 06:46:35,749 - lightrag - INFO - _check_node_exists:query:MATCH (n:`SCROOGE`) RETURN count(n) > 0 AS node_exists:result:True +2024-10-30 06:46:35,917 - lightrag - INFO - _check_node_exists:query:MATCH (n:`THE DYING FLAME`) RETURN count(n) > 0 AS node_exists:result:True +2024-10-30 06:46:36,095 - lightrag - INFO - _do_upsert_edge:query: + MATCH (source:`SCROOGE`) + WITH source + MATCH (target:`THE DYING FLAME`) + MERGE (source)-[r:DIRECTED]->(target) + SET r += $properties + RETURN r + :result:None +2024-10-30 06:46:36,270 - lightrag - INFO - _check_edge_existence:query:MATCH (a:`MARLEY'S GHOST`)-[r]-(b:`SCROOGE`) RETURN COUNT(r) > 0 AS edgeExists:result:True +2024-10-30 06:46:36,405 - lightrag - INFO - get_edge:query: + MATCH (start:`MARLEY'S GHOST`)-[r]->(end:`SCROOGE`) + RETURN properties(r) as edge_properties + LIMIT 1 + :result:{'keywords': '"supernatural confrontation, regret""warning, fate"', 'weight': 18.0, 'description': '"Marley\'s Ghost warns Scrooge about the consequences of his actions and the visits of the three spirits, setting the stage for his transformation.""Scrooge is haunted by Marley\'s Ghost, which confronts him as a part of a supernatural occurrence meant to incite fear and reflection on his life choices."', 'source_id': 'chunk-9c43dac2fcd5b578242d907ea6f8fc7bchunk-cb661c37436355ccec2769b1d0350c5f'} +2024-10-30 06:46:36,531 - lightrag - INFO - _check_node_exists:query:MATCH (n:`MARLEY'S GHOST`) RETURN count(n) > 0 AS node_exists:result:True +2024-10-30 06:46:36,694 - lightrag - INFO - _check_node_exists:query:MATCH (n:`SCROOGE`) RETURN count(n) > 0 AS node_exists:result:True +2024-10-30 06:46:36,886 - lightrag - INFO - _do_upsert_edge:query: + MATCH (source:`MARLEY'S GHOST`) + WITH source + MATCH (target:`SCROOGE`) + MERGE (source)-[r:DIRECTED]->(target) + SET r += $properties + RETURN r + :result:None +2024-10-30 06:46:37,065 - lightrag - INFO - _check_edge_existence:query:MATCH (a:`JACOB MARLEY`)-[r]-(b:`MARLEY'S GHOST`) RETURN COUNT(r) > 0 AS edgeExists:result:True +2024-10-30 06:46:37,196 - lightrag - INFO - get_edge:query: + MATCH (start:`JACOB MARLEY`)-[r]->(end:`MARLEY'S GHOST`) + RETURN properties(r) as edge_properties + LIMIT 1 + :result:{'keywords': '"past partnership, redemption"', 'weight': 9.0, 'description': '"Jacob Marley is the entity represented by Marley\'s Ghost, embodying the warning about the repercussions of a life focused solely on material gain."', 'source_id': 'chunk-1aa50206d02ed89418f65f97c6441d1c'} +2024-10-30 06:46:37,324 - lightrag - INFO - _check_node_exists:query:MATCH (n:`JACOB MARLEY`) RETURN count(n) > 0 AS node_exists:result:True +2024-10-30 06:46:37,493 - lightrag - INFO - _check_node_exists:query:MATCH (n:`MARLEY'S GHOST`) RETURN count(n) > 0 AS node_exists:result:True +2024-10-30 06:46:37,672 - lightrag - INFO - _do_upsert_edge:query: + MATCH (source:`JACOB MARLEY`) + WITH source + MATCH (target:`MARLEY'S GHOST`) + MERGE (source)-[r:DIRECTED]->(target) + SET r += $properties + RETURN r + :result:None +2024-10-30 06:46:37,852 - lightrag - INFO - _check_edge_existence:query:MATCH (a:`GHOST`)-[r]-(b:`SCROOGE`) RETURN COUNT(r) > 0 AS edgeExists:result:True +2024-10-30 06:46:37,986 - lightrag - INFO - get_edge:query: + MATCH (start:`GHOST`)-[r]->(end:`SCROOGE`) + RETURN properties(r) as edge_properties + LIMIT 1 + :result:{'keywords': '"reflection, self-discovery""spiritual guidance, transformation"', 'weight': 17.0, 'description': '"The Ghost guides Scrooge through reflections of his past, influencing his journey toward redemption.""The Ghost takes Scrooge on a journey to teach him lessons about generosity and compassion towards others."', 'source_id': 'chunk-c6c248858d1b13ab7ee9ca13c1aeed6bchunk-e7637ff18c5ded77a68cce0a87883fad'} +2024-10-30 06:46:38,115 - lightrag - INFO - _check_node_exists:query:MATCH (n:`GHOST`) RETURN count(n) > 0 AS node_exists:result:True +2024-10-30 06:46:38,272 - lightrag - INFO - _check_node_exists:query:MATCH (n:`SCROOGE`) RETURN count(n) > 0 AS node_exists:result:True +2024-10-30 06:46:38,447 - lightrag - INFO - _do_upsert_edge:query: + MATCH (source:`GHOST`) + WITH source + MATCH (target:`SCROOGE`) + MERGE (source)-[r:DIRECTED]->(target) + SET r += $properties + RETURN r + :result:None +2024-10-30 06:46:38,629 - lightrag - INFO - _check_edge_existence:query:MATCH (a:`GHOST`)-[r]-(b:`JACOB MARLEY`) RETURN COUNT(r) > 0 AS edgeExists:result:True +2024-10-30 06:46:38,764 - lightrag - INFO - get_edge:query: + MATCH (start:`GHOST`)-[r]->(end:`JACOB MARLEY`) + RETURN properties(r) as edge_properties + LIMIT 1 + :result:{'keywords': '"identity, remorse"', 'weight': 10.0, 'description': '"The Ghost is revealed to be Jacob Marley, who embodies the regret of a wasted life and the importance of personal responsibility."', 'source_id': 'chunk-359187e7571bda4b0b08b2e0b6581e52'} +2024-10-30 06:46:38,898 - lightrag - INFO - _check_node_exists:query:MATCH (n:`GHOST`) RETURN count(n) > 0 AS node_exists:result:True +2024-10-30 06:46:39,064 - lightrag - INFO - _check_node_exists:query:MATCH (n:`JACOB MARLEY`) RETURN count(n) > 0 AS node_exists:result:True +2024-10-30 06:46:39,243 - lightrag - INFO - _do_upsert_edge:query: + MATCH (source:`GHOST`) + WITH source + MATCH (target:`JACOB MARLEY`) + MERGE (source)-[r:DIRECTED]->(target) + SET r += $properties + RETURN r + :result:None +2024-10-30 06:46:39,421 - lightrag - INFO - _check_edge_existence:query:MATCH (a:`JACOB MARLEY`)-[r]-(b:`SCROOGE`) RETURN COUNT(r) > 0 AS edgeExists:result:True +2024-10-30 06:46:39,556 - lightrag - INFO - get_edge:query: + MATCH (start:`JACOB MARLEY`)-[r]->(end:`SCROOGE`) + RETURN properties(r) as edge_properties + LIMIT 1 + :result:{'keywords': '"catalyst for change, supernatural guidance""past influence, warning""redemption, moral lesson""supernatural encounter, past ties""transformation, influence""warning, transformation"', 'weight': 54.0, 'description': '"Jacob Marley is the spirit who brings forth the need for Scrooge to change his ways, impacting his character development.""Scrooge confronts Jacob Marley, his former business partner, who returns as a ghost to influence Scrooge\'s perspective on life and his actions.""Scrooge converses with the ghost of Jacob Marley, who tries to guide him toward understanding the importance of compassion and the consequences of his actions.""Scrooge interacts with Jacob Marley, who serves as a critical warning for Scrooge to change his ways before it\'s too late.""Scrooge reflects on Jacob Marley’s past warnings, which serve as a catalyst for his transformation.""Scrooge\'s transformation is prompted by the appearance and message of Jacob Marley, his former business partner."', 'source_id': 'chunk-90b95db5c53e4364a6bee36b7aa4d70fchunk-1aa50206d02ed89418f65f97c6441d1cchunk-02baee20cc9463dbe08170a8e1043e32chunk-91572b3cd42786ba4cb2f180ca25cbf4chunk-da2472b4ef2a535b62908f14d0fb0ca9chunk-359187e7571bda4b0b08b2e0b6581e52'} +2024-10-30 06:46:39,675 - lightrag - INFO - _check_node_exists:query:MATCH (n:`JACOB MARLEY`) RETURN count(n) > 0 AS node_exists:result:True +2024-10-30 06:46:39,839 - lightrag - INFO - _check_node_exists:query:MATCH (n:`SCROOGE`) RETURN count(n) > 0 AS node_exists:result:True +2024-10-30 06:46:40,026 - lightrag - INFO - _do_upsert_edge:query: + MATCH (source:`JACOB MARLEY`) + WITH source + MATCH (target:`SCROOGE`) + MERGE (source)-[r:DIRECTED]->(target) + SET r += $properties + RETURN r + :result:None +2024-10-30 06:46:40,200 - lightrag - INFO - _check_edge_existence:query:MATCH (a:`GHOST`)-[r]-(b:`MANKIND`) RETURN COUNT(r) > 0 AS edgeExists:result:True +2024-10-30 06:46:40,333 - lightrag - INFO - get_edge:query: + MATCH (start:`GHOST`)-[r]->(end:`MANKIND`) + RETURN properties(r) as edge_properties + LIMIT 1 + :result:{'keywords': '"moral duty, call to action"', 'weight': 9.0, 'description': '"The Ghost emphasizes that Mankind was his true business in life, urging Scrooge to focus on the welfare of others."', 'source_id': 'chunk-359187e7571bda4b0b08b2e0b6581e52'} +2024-10-30 06:46:40,453 - lightrag - INFO - _check_node_exists:query:MATCH (n:`GHOST`) RETURN count(n) > 0 AS node_exists:result:True +2024-10-30 06:46:40,617 - lightrag - INFO - _check_node_exists:query:MATCH (n:`MANKIND`) RETURN count(n) > 0 AS node_exists:result:True +2024-10-30 06:46:40,794 - lightrag - INFO - _do_upsert_edge:query: + MATCH (source:`GHOST`) + WITH source + MATCH (target:`MANKIND`) + MERGE (source)-[r:DIRECTED]->(target) + SET r += $properties + RETURN r + :result:None +2024-10-30 06:46:40,973 - lightrag - INFO - _check_edge_existence:query:MATCH (a:`CHRISTMAS EVES`)-[r]-(b:`SCROOGE`) RETURN COUNT(r) > 0 AS edgeExists:result:True +2024-10-30 06:46:41,111 - lightrag - INFO - get_edge:query: + MATCH (start:`CHRISTMAS EVES`)-[r]->(end:`SCROOGE`) + RETURN properties(r) as edge_properties + LIMIT 1 + :result:{'keywords': '"time of reflection, redemption"', 'weight': 7.0, 'description': '"Christmas Eves symbolize a critical time for self-reflection and understanding one\'s past decisions, linking to Scrooge\'s journey of redemption."', 'source_id': 'chunk-359187e7571bda4b0b08b2e0b6581e52'} +2024-10-30 06:46:41,240 - lightrag - INFO - _check_node_exists:query:MATCH (n:`CHRISTMAS EVES`) RETURN count(n) > 0 AS node_exists:result:True +2024-10-30 06:46:41,395 - lightrag - INFO - _check_node_exists:query:MATCH (n:`SCROOGE`) RETURN count(n) > 0 AS node_exists:result:True +2024-10-30 06:46:41,577 - lightrag - INFO - _do_upsert_edge:query: + MATCH (source:`CHRISTMAS EVES`) + WITH source + MATCH (target:`SCROOGE`) + MERGE (source)-[r:DIRECTED]->(target) + SET r += $properties + RETURN r + :result:None +2024-10-30 06:46:41,758 - lightrag - INFO - _check_edge_existence:query:MATCH (a:`ETERNAL CHAIN`)-[r]-(b:`GHOST`) RETURN COUNT(r) > 0 AS edgeExists:result:True +2024-10-30 06:46:41,893 - lightrag - INFO - get_edge:query: + MATCH (start:`ETERNAL CHAIN`)-[r]->(end:`GHOST`) + RETURN properties(r) as edge_properties + LIMIT 1 + :result:{'keywords': '"burden, regret"', 'weight': 9.0, 'description': '"The Ghost describes the Eternal Chain as a symbol of the burdens he carries due to his life choices, emphasizing the consequences of neglecting humanity."', 'source_id': 'chunk-359187e7571bda4b0b08b2e0b6581e52'} +2024-10-30 06:46:42,026 - lightrag - INFO - _check_node_exists:query:MATCH (n:`ETERNAL CHAIN`) RETURN count(n) > 0 AS node_exists:result:True +2024-10-30 06:46:42,183 - lightrag - INFO - _check_node_exists:query:MATCH (n:`GHOST`) RETURN count(n) > 0 AS node_exists:result:True +2024-10-30 06:46:42,359 - lightrag - INFO - _do_upsert_edge:query: + MATCH (source:`ETERNAL CHAIN`) + WITH source + MATCH (target:`GHOST`) + MERGE (source)-[r:DIRECTED]->(target) + SET r += $properties + RETURN r + :result:None +2024-10-30 06:46:42,537 - lightrag - INFO - _check_edge_existence:query:MATCH (a:`STAR`)-[r]-(b:`WISE MEN`) RETURN COUNT(r) > 0 AS edgeExists:result:True +2024-10-30 06:46:42,674 - lightrag - INFO - get_edge:query: + MATCH (start:`STAR`)-[r]->(end:`WISE MEN`) + RETURN properties(r) as edge_properties + LIMIT 1 + :result:{'keywords': '"guidance, generosity"', 'weight': 7.0, 'description': '"The Star guided the Wise Men to recognize the importance of giving, which relates to the values that the Ghost tries to impart to Scrooge."', 'source_id': 'chunk-359187e7571bda4b0b08b2e0b6581e52'} +2024-10-30 06:46:42,804 - lightrag - INFO - _check_node_exists:query:MATCH (n:`STAR`) RETURN count(n) > 0 AS node_exists:result:True +2024-10-30 06:46:42,972 - lightrag - INFO - _check_node_exists:query:MATCH (n:`WISE MEN`) RETURN count(n) > 0 AS node_exists:result:True +2024-10-30 06:46:43,151 - lightrag - INFO - _do_upsert_edge:query: + MATCH (source:`STAR`) + WITH source + MATCH (target:`WISE MEN`) + MERGE (source)-[r:DIRECTED]->(target) + SET r += $properties + RETURN r + :result:None +2024-10-30 06:46:43,327 - lightrag - INFO - _check_edge_existence:query:MATCH (a:`FELLOW-BEINGS`)-[r]-(b:`SCROOGE`) RETURN COUNT(r) > 0 AS edgeExists:result:True +2024-10-30 06:46:43,460 - lightrag - INFO - get_edge:query: + MATCH (start:`FELLOW-BEINGS`)-[r]->(end:`SCROOGE`) + RETURN properties(r) as edge_properties + LIMIT 1 + :result:{'keywords': '"neglect, realization"', 'weight': 8.0, 'description': '"Scrooge is confronted with his past choices to ignore Fellow-beings, leading to a realization of his moral failures."', 'source_id': 'chunk-359187e7571bda4b0b08b2e0b6581e52'} +2024-10-30 06:46:43,590 - lightrag - INFO - _check_node_exists:query:MATCH (n:`FELLOW-BEINGS`) RETURN count(n) > 0 AS node_exists:result:True +2024-10-30 06:46:43,750 - lightrag - INFO - _check_node_exists:query:MATCH (n:`SCROOGE`) RETURN count(n) > 0 AS node_exists:result:True +2024-10-30 06:46:43,930 - lightrag - INFO - _do_upsert_edge:query: + MATCH (source:`FELLOW-BEINGS`) + WITH source + MATCH (target:`SCROOGE`) + MERGE (source)-[r:DIRECTED]->(target) + SET r += $properties + RETURN r + :result:None +2024-10-30 06:46:44,105 - lightrag - INFO - _check_edge_existence:query:MATCH (a:`CHRISTMAS SPIRIT`)-[r]-(b:`GHOST`) RETURN COUNT(r) > 0 AS edgeExists:result:True +2024-10-30 06:46:44,235 - lightrag - INFO - get_edge:query: + MATCH (start:`CHRISTMAS SPIRIT`)-[r]->(end:`GHOST`) + RETURN properties(r) as edge_properties + LIMIT 1 + :result:{'keywords': '"values, transformation"', 'weight': 9.0, 'description': '"The Ghost embodies the Christmas Spirit\'s values of compassion and kindness, urging Scrooge to reconsider his way of living."', 'source_id': 'chunk-359187e7571bda4b0b08b2e0b6581e52'} +2024-10-30 06:46:44,361 - lightrag - INFO - _check_node_exists:query:MATCH (n:`CHRISTMAS SPIRIT`) RETURN count(n) > 0 AS node_exists:result:True +2024-10-30 06:46:44,517 - lightrag - INFO - _check_node_exists:query:MATCH (n:`GHOST`) RETURN count(n) > 0 AS node_exists:result:True +2024-10-30 06:46:44,697 - lightrag - INFO - _do_upsert_edge:query: + MATCH (source:`CHRISTMAS SPIRIT`) + WITH source + MATCH (target:`GHOST`) + MERGE (source)-[r:DIRECTED]->(target) + SET r += $properties + RETURN r + :result:None +2024-10-30 06:46:44,877 - lightrag - INFO - _check_edge_existence:query:MATCH (a:`GHOST`)-[r]-(b:`SPECTRE`) RETURN COUNT(r) > 0 AS edgeExists:result:True +2024-10-30 06:46:45,020 - lightrag - INFO - get_edge:query: + MATCH (start:`GHOST`)-[r]->(end:`SPECTRE`) + RETURN properties(r) as edge_properties + LIMIT 1 + :result:{'keywords': '"identity, motivation"', 'weight': 10.0, 'description': '"The Spectre is synonymous with the Ghost, representing the collective spirit urging Scrooge to change his ways."', 'source_id': 'chunk-359187e7571bda4b0b08b2e0b6581e52'} +2024-10-30 06:46:45,139 - lightrag - INFO - _check_node_exists:query:MATCH (n:`GHOST`) RETURN count(n) > 0 AS node_exists:result:True +2024-10-30 06:46:45,307 - lightrag - INFO - _check_node_exists:query:MATCH (n:`SPECTRE`) RETURN count(n) > 0 AS node_exists:result:True +2024-10-30 06:46:45,486 - lightrag - INFO - _do_upsert_edge:query: + MATCH (source:`GHOST`) + WITH source + MATCH (target:`SPECTRE`) + MERGE (source)-[r:DIRECTED]->(target) + SET r += $properties + RETURN r + :result:None +2024-10-30 06:46:45,667 - lightrag - INFO - _check_edge_existence:query:MATCH (a:`JACOB MARLEY`)-[r]-(b:`THE THREE SPIRITS`) RETURN COUNT(r) > 0 AS edgeExists:result:True +2024-10-30 06:46:45,802 - lightrag - INFO - get_edge:query: + MATCH (start:`JACOB MARLEY`)-[r]->(end:`THE THREE SPIRITS`) + RETURN properties(r) as edge_properties + LIMIT 1 + :result:{'keywords': '"guidance, redemption"', 'weight': 8.0, 'description': '"Jacob Marley indicates that Scrooge will be visited by The Three Spirits to offer him guidance and the chance for redemption."', 'source_id': 'chunk-cb661c37436355ccec2769b1d0350c5f'} +2024-10-30 06:46:45,924 - lightrag - INFO - _check_node_exists:query:MATCH (n:`JACOB MARLEY`) RETURN count(n) > 0 AS node_exists:result:True +2024-10-30 06:46:46,097 - lightrag - INFO - _check_node_exists:query:MATCH (n:`THE THREE SPIRITS`) RETURN count(n) > 0 AS node_exists:result:True +2024-10-30 06:46:46,278 - lightrag - INFO - _do_upsert_edge:query: + MATCH (source:`JACOB MARLEY`) + WITH source + MATCH (target:`THE THREE SPIRITS`) + MERGE (source)-[r:DIRECTED]->(target) + SET r += $properties + RETURN r + :result:None +2024-10-30 06:46:46,452 - lightrag - INFO - _check_edge_existence:query:MATCH (a:`SCROOGE`)-[r]-(b:`THE GHOST`) RETURN COUNT(r) > 0 AS edgeExists:result:True +2024-10-30 06:46:46,586 - lightrag - INFO - get_edge:query: + MATCH (start:`SCROOGE`)-[r]->(end:`THE GHOST`) + RETURN properties(r) as edge_properties + LIMIT 1 + :result:{'keywords': '"guidance, transformation""memory, influence""reflection, guidance""self-reflection, transformation"', 'weight': 35.0, 'description': '"Scrooge\'s engagement with The Ghost prompts a significant emotional and psychological transformation as he confronts his past.""The Ghost guides Scrooge through visions of his past, forcing him to confront his choices and their consequences.""The Ghost influences Scrooge\'s reflections on his past and his current emotions regarding Christmas festivities.""The Ghost serves as a catalyst for Scrooge\'s reflections, guiding him to confront his past and feelings about Christmas."', 'source_id': 'chunk-da2472b4ef2a535b62908f14d0fb0ca9chunk-43c9bee23adfa77aa9dedd22401bba7dchunk-54bdd22db1f84a965b5f4c06c9216d8dchunk-8590d9263cd2cd4fa583c432fc54e6c3'} +2024-10-30 06:46:46,710 - lightrag - INFO - _check_node_exists:query:MATCH (n:`SCROOGE`) RETURN count(n) > 0 AS node_exists:result:True +2024-10-30 06:46:46,887 - lightrag - INFO - _check_node_exists:query:MATCH (n:`THE GHOST`) RETURN count(n) > 0 AS node_exists:result:True +2024-10-30 06:46:47,073 - lightrag - INFO - _do_upsert_edge:query: + MATCH (source:`SCROOGE`) + WITH source + MATCH (target:`THE GHOST`) + MERGE (source)-[r:DIRECTED]->(target) + SET r += $properties + RETURN r + :result:None +2024-10-30 06:46:47,249 - lightrag - INFO - _check_edge_existence:query:MATCH (a:`SCROOGE`)-[r]-(b:`THE PHANTOM VOICES`) RETURN COUNT(r) > 0 AS edgeExists:result:True +2024-10-30 06:46:47,382 - lightrag - INFO - get_edge:query: + MATCH (start:`SCROOGE`)-[r]->(end:`THE PHANTOM VOICES`) + RETURN properties(r) as edge_properties + LIMIT 1 + :result:{'keywords': '"regret, lost opportunities"', 'weight': 6.0, 'description': '"Scrooge hears the lamentations of The Phantom Voices, reflecting his connection to the spirits of the lost and the consequences of his life choices."', 'source_id': 'chunk-cb661c37436355ccec2769b1d0350c5f'} +2024-10-30 06:46:47,501 - lightrag - INFO - _check_node_exists:query:MATCH (n:`SCROOGE`) RETURN count(n) > 0 AS node_exists:result:True +2024-10-30 06:46:47,667 - lightrag - INFO - _check_node_exists:query:MATCH (n:`THE PHANTOM VOICES`) RETURN count(n) > 0 AS node_exists:result:True +2024-10-30 06:46:47,845 - lightrag - INFO - _do_upsert_edge:query: + MATCH (source:`SCROOGE`) + WITH source + MATCH (target:`THE PHANTOM VOICES`) + MERGE (source)-[r:DIRECTED]->(target) + SET r += $properties + RETURN r + :result:None +2024-10-30 06:46:48,022 - lightrag - INFO - _check_edge_existence:query:MATCH (a:`SCROOGE`)-[r]-(b:`THE WINDOW`) RETURN COUNT(r) > 0 AS edgeExists:result:True +2024-10-30 06:46:48,157 - lightrag - INFO - get_edge:query: + MATCH (start:`SCROOGE`)-[r]->(end:`THE WINDOW`) + RETURN properties(r) as edge_properties + LIMIT 1 + :result:{'keywords': '"curiosity, fear"', 'weight': 5.0, 'description': '"Scrooge approaches The Window, which acts as a portal to the outside world and the supernatural, illustrating his curiosity and fear."', 'source_id': 'chunk-cb661c37436355ccec2769b1d0350c5f'} +2024-10-30 06:46:48,279 - lightrag - INFO - _check_node_exists:query:MATCH (n:`SCROOGE`) RETURN count(n) > 0 AS node_exists:result:True +2024-10-30 06:46:48,446 - lightrag - INFO - _check_node_exists:query:MATCH (n:`THE WINDOW`) RETURN count(n) > 0 AS node_exists:result:True +2024-10-30 06:46:48,624 - lightrag - INFO - _do_upsert_edge:query: + MATCH (source:`SCROOGE`) + WITH source + MATCH (target:`THE WINDOW`) + MERGE (source)-[r:DIRECTED]->(target) + SET r += $properties + RETURN r + :result:None +2024-10-30 06:46:48,802 - lightrag - INFO - _check_edge_existence:query:MATCH (a:`MARLEY'S GHOST`)-[r]-(b:`THE CHAIN`) RETURN COUNT(r) > 0 AS edgeExists:result:True +2024-10-30 06:46:48,936 - lightrag - INFO - get_edge:query: + MATCH (start:`MARLEY'S GHOST`)-[r]->(end:`THE CHAIN`) + RETURN properties(r) as edge_properties + LIMIT 1 + :result:{'keywords': '"regret, warning"', 'weight': 9.0, 'description': '"Marley\'s Ghost is bound by The Chain, which symbolizes his regrets and serves as a warning to Scrooge about the consequences of his own actions."', 'source_id': 'chunk-cb661c37436355ccec2769b1d0350c5f'} +2024-10-30 06:46:49,066 - lightrag - INFO - _check_node_exists:query:MATCH (n:`MARLEY'S GHOST`) RETURN count(n) > 0 AS node_exists:result:True +2024-10-30 06:46:49,238 - lightrag - INFO - _check_node_exists:query:MATCH (n:`THE CHAIN`) RETURN count(n) > 0 AS node_exists:result:True +2024-10-30 06:46:49,417 - lightrag - INFO - _do_upsert_edge:query: + MATCH (source:`MARLEY'S GHOST`) + WITH source + MATCH (target:`THE CHAIN`) + MERGE (source)-[r:DIRECTED]->(target) + SET r += $properties + RETURN r + :result:None +2024-10-30 06:46:49,593 - lightrag - INFO - _check_edge_existence:query:MATCH (a:`SCROOGE`)-[r]-(b:`THE CLOCK`) RETURN COUNT(r) > 0 AS edgeExists:result:True +2024-10-30 06:46:49,724 - lightrag - INFO - get_edge:query: + MATCH (start:`SCROOGE`)-[r]->(end:`THE CLOCK`) + RETURN properties(r) as edge_properties + LIMIT 1 + :result:{'keywords': '"time distortion, confusion"', 'weight': 6.0, 'description': '"Scrooge\'s interaction with the faulty clock symbolizes his disconnection from time and reality, as he struggles to comprehend his experiences."', 'source_id': 'chunk-cb661c37436355ccec2769b1d0350c5f'} +2024-10-30 06:46:49,840 - lightrag - INFO - _check_node_exists:query:MATCH (n:`SCROOGE`) RETURN count(n) > 0 AS node_exists:result:True +2024-10-30 06:46:50,007 - lightrag - INFO - _check_node_exists:query:MATCH (n:`THE CLOCK`) RETURN count(n) > 0 AS node_exists:result:True +2024-10-30 06:46:50,186 - lightrag - INFO - _do_upsert_edge:query: + MATCH (source:`SCROOGE`) + WITH source + MATCH (target:`THE CLOCK`) + MERGE (source)-[r:DIRECTED]->(target) + SET r += $properties + RETURN r + :result:None +2024-10-30 06:46:50,361 - lightrag - INFO - _check_edge_existence:query:MATCH (a:`SCROOGE`)-[r]-(b:`THE DARKNESS`) RETURN COUNT(r) > 0 AS edgeExists:result:True +2024-10-30 06:46:50,491 - lightrag - INFO - get_edge:query: + MATCH (start:`SCROOGE`)-[r]->(end:`THE DARKNESS`) + RETURN properties(r) as edge_properties + LIMIT 1 + :result:{'keywords': '"internal struggle, unknown"', 'weight': 6.0, 'description': '"Scrooge finds himself enveloped by The Darkness, representing his internal struggle and the unknown future he faces."', 'source_id': 'chunk-cb661c37436355ccec2769b1d0350c5f'} +2024-10-30 06:46:50,607 - lightrag - INFO - _check_node_exists:query:MATCH (n:`SCROOGE`) RETURN count(n) > 0 AS node_exists:result:True +2024-10-30 06:46:50,774 - lightrag - INFO - _check_node_exists:query:MATCH (n:`THE DARKNESS`) RETURN count(n) > 0 AS node_exists:result:True +2024-10-30 06:46:50,955 - lightrag - INFO - _do_upsert_edge:query: + MATCH (source:`SCROOGE`) + WITH source + MATCH (target:`THE DARKNESS`) + MERGE (source)-[r:DIRECTED]->(target) + SET r += $properties + RETURN r + :result:None +2024-10-30 06:46:51,133 - lightrag - INFO - _check_edge_existence:query:MATCH (a:`CLOCK`)-[r]-(b:`SCROOGE`) RETURN COUNT(r) > 0 AS edgeExists:result:True +2024-10-30 06:46:51,267 - lightrag - INFO - get_edge:query: + MATCH (start:`CLOCK`)-[r]->(end:`SCROOGE`) + RETURN properties(r) as edge_properties + LIMIT 1 + :result:{'keywords': '"time symbolism, anxiety"', 'weight': 7.0, 'description': '"Scrooge\'s observations of the Clock reflect his anxiety over time and the supernatural events unfolding around him."', 'source_id': 'chunk-c7b10789a9cb0af6c553730b29bd9034'} +2024-10-30 06:46:51,396 - lightrag - INFO - _check_node_exists:query:MATCH (n:`CLOCK`) RETURN count(n) > 0 AS node_exists:result:True +2024-10-30 06:46:51,555 - lightrag - INFO - _check_node_exists:query:MATCH (n:`SCROOGE`) RETURN count(n) > 0 AS node_exists:result:True +2024-10-30 06:46:51,737 - lightrag - INFO - _do_upsert_edge:query: + MATCH (source:`CLOCK`) + WITH source + MATCH (target:`SCROOGE`) + MERGE (source)-[r:DIRECTED]->(target) + SET r += $properties + RETURN r + :result:None +2024-10-30 06:46:51,919 - lightrag - INFO - _check_edge_existence:query:MATCH (a:`SCROOGE`)-[r]-(b:`SPIRIT`) RETURN COUNT(r) > 0 AS edgeExists:result:True +2024-10-30 06:46:52,063 - lightrag - INFO - get_edge:query: + MATCH (start:`SCROOGE`)-[r]->(end:`SPIRIT`) + RETURN properties(r) as edge_properties + LIMIT 1 + :result:{'keywords': '"guidance, emotional journey""guidance, transformation""personal growth, spiritual journey""reflection, guidance"', 'weight': 34.0, 'description': '"Scrooge engages with the Spirit, who guides him through reflections on his life and warns him of societal issues.""Scrooge learns from the Spirit about the consequences of his actions and the sentiments evoked by death, leading to personal growth.""Scrooge’s interaction with the Spirit emphasizes the emotional weight of his past decisions and feelings as they relate to his transformation.""The Spirit directly influences Scrooge’s transformation and highlights the importance of compassion in human life."', 'source_id': 'chunk-02baee20cc9463dbe08170a8e1043e32chunk-bb21d58d36c6306fd8810ddd51c4a971chunk-83ac129dc9b56f84c46760d153d68e93chunk-e7637ff18c5ded77a68cce0a87883fad'} +2024-10-30 06:46:52,186 - lightrag - INFO - _check_node_exists:query:MATCH (n:`SCROOGE`) RETURN count(n) > 0 AS node_exists:result:True +2024-10-30 06:46:52,348 - lightrag - INFO - _check_node_exists:query:MATCH (n:`SPIRIT`) RETURN count(n) > 0 AS node_exists:result:True +2024-10-30 06:46:52,527 - lightrag - INFO - _do_upsert_edge:query: + MATCH (source:`SCROOGE`) + WITH source + MATCH (target:`SPIRIT`) + MERGE (source)-[r:DIRECTED]->(target) + SET r += $properties + RETURN r + :result:None +2024-10-30 06:46:52,706 - lightrag - INFO - _check_edge_existence:query:MATCH (a:`GHOST OF CHRISTMAS PAST`)-[r]-(b:`WINTER DAY`) RETURN COUNT(r) > 0 AS edgeExists:result:True +2024-10-30 06:46:52,841 - lightrag - INFO - get_edge:query: + MATCH (start:`GHOST OF CHRISTMAS PAST`)-[r]->(end:`WINTER DAY`) + RETURN properties(r) as edge_properties + LIMIT 1 + :result:{'keywords': '"nostalgia, memory"', 'weight': 9.0, 'description': '"The Ghost leads Scrooge to experience a winter day from his memories, emphasizing feelings of nostalgia and longing."', 'source_id': 'chunk-bb21d58d36c6306fd8810ddd51c4a971'} +2024-10-30 06:46:52,973 - lightrag - INFO - _check_node_exists:query:MATCH (n:`GHOST OF CHRISTMAS PAST`) RETURN count(n) > 0 AS node_exists:result:True +2024-10-30 06:46:53,138 - lightrag - INFO - _check_node_exists:query:MATCH (n:`WINTER DAY`) RETURN count(n) > 0 AS node_exists:result:True +2024-10-30 06:46:53,316 - lightrag - INFO - _do_upsert_edge:query: + MATCH (source:`GHOST OF CHRISTMAS PAST`) + WITH source + MATCH (target:`WINTER DAY`) + MERGE (source)-[r:DIRECTED]->(target) + SET r += $properties + RETURN r + :result:None +2024-10-30 06:46:53,498 - lightrag - INFO - _check_edge_existence:query:MATCH (a:`MARKET-TOWN`)-[r]-(b:`SCROOGE`) RETURN COUNT(r) > 0 AS edgeExists:result:True +2024-10-30 06:46:53,631 - lightrag - INFO - get_edge:query: + MATCH (start:`MARKET-TOWN`)-[r]->(end:`SCROOGE`) + RETURN properties(r) as edge_properties + LIMIT 1 + :result:{'keywords': '"nostalgia, memory"', 'weight': 7.0, 'description': '"Scrooge recognizes the Market-Town, eliciting fond memories from his childhood and emphasizing his emotional response to the past."', 'source_id': 'chunk-bb21d58d36c6306fd8810ddd51c4a971'} +2024-10-30 06:46:53,761 - lightrag - INFO - _check_node_exists:query:MATCH (n:`MARKET-TOWN`) RETURN count(n) > 0 AS node_exists:result:True +2024-10-30 06:46:53,921 - lightrag - INFO - _check_node_exists:query:MATCH (n:`SCROOGE`) RETURN count(n) > 0 AS node_exists:result:True +2024-10-30 06:46:54,101 - lightrag - INFO - _do_upsert_edge:query: + MATCH (source:`MARKET-TOWN`) + WITH source + MATCH (target:`SCROOGE`) + MERGE (source)-[r:DIRECTED]->(target) + SET r += $properties + RETURN r + :result:None +2024-10-30 06:46:54,275 - lightrag - INFO - _check_edge_existence:query:MATCH (a:`BOYS`)-[r]-(b:`SCROOGE`) RETURN COUNT(r) > 0 AS edgeExists:result:True +2024-10-30 06:46:54,415 - lightrag - INFO - get_edge:query: + MATCH (start:`BOYS`)-[r]->(end:`SCROOGE`) + RETURN properties(r) as edge_properties + LIMIT 1 + :result:{'keywords': '"joy, childhood memories"', 'weight': 7.0, 'description': '"Scrooge feels joy upon seeing the boys, evoking memories of childhood experiences and emotions associated with them."', 'source_id': 'chunk-bb21d58d36c6306fd8810ddd51c4a971'} +2024-10-30 06:46:54,548 - lightrag - INFO - _check_node_exists:query:MATCH (n:`BOYS`) RETURN count(n) > 0 AS node_exists:result:True +2024-10-30 06:46:54,704 - lightrag - INFO - _check_node_exists:query:MATCH (n:`SCROOGE`) RETURN count(n) > 0 AS node_exists:result:True +2024-10-30 06:46:54,887 - lightrag - INFO - _do_upsert_edge:query: + MATCH (source:`BOYS`) + WITH source + MATCH (target:`SCROOGE`) + MERGE (source)-[r:DIRECTED]->(target) + SET r += $properties + RETURN r + :result:None +2024-10-30 06:46:55,065 - lightrag - INFO - _check_edge_existence:query:MATCH (a:`BOYS`)-[r]-(b:`SHAGGY PONIES`) RETURN COUNT(r) > 0 AS edgeExists:result:True +2024-10-30 06:46:55,201 - lightrag - INFO - get_edge:query: + MATCH (start:`BOYS`)-[r]->(end:`SHAGGY PONIES`) + RETURN properties(r) as edge_properties + LIMIT 1 + :result:{'keywords': '"playfulness, childhood"', 'weight': 6.0, 'description': '"The boys interact with the shaggy ponies, highlighting the carefree and playful nature of youth in Scrooge\'s memories."', 'source_id': 'chunk-bb21d58d36c6306fd8810ddd51c4a971'} +2024-10-30 06:46:55,332 - lightrag - INFO - _check_node_exists:query:MATCH (n:`BOYS`) RETURN count(n) > 0 AS node_exists:result:True +2024-10-30 06:46:55,496 - lightrag - INFO - _check_node_exists:query:MATCH (n:`SHAGGY PONIES`) RETURN count(n) > 0 AS node_exists:result:True +2024-10-30 06:46:55,672 - lightrag - INFO - _do_upsert_edge:query: + MATCH (source:`BOYS`) + WITH source + MATCH (target:`SHAGGY PONIES`) + MERGE (source)-[r:DIRECTED]->(target) + SET r += $properties + RETURN r + :result:None +2024-10-30 06:46:55,851 - lightrag - INFO - _check_edge_existence:query:MATCH (a:`BRIDGE`)-[r]-(b:`SCROOGE`) RETURN COUNT(r) > 0 AS edgeExists:result:True +2024-10-30 06:46:55,983 - lightrag - INFO - get_edge:query: + MATCH (start:`BRIDGE`)-[r]->(end:`SCROOGE`) + RETURN properties(r) as edge_properties + LIMIT 1 + :result:{'keywords': '"memory, landmark"', 'weight': 7.0, 'description': '"The bridge serves as a significant landmark in Scrooge\'s past, reminding him of his childhood and former happiness."', 'source_id': 'chunk-bb21d58d36c6306fd8810ddd51c4a971'} +2024-10-30 06:46:56,112 - lightrag - INFO - _check_node_exists:query:MATCH (n:`BRIDGE`) RETURN count(n) > 0 AS node_exists:result:True +2024-10-30 06:46:56,275 - lightrag - INFO - _check_node_exists:query:MATCH (n:`SCROOGE`) RETURN count(n) > 0 AS node_exists:result:True +2024-10-30 06:46:56,456 - lightrag - INFO - _do_upsert_edge:query: + MATCH (source:`BRIDGE`) + WITH source + MATCH (target:`SCROOGE`) + MERGE (source)-[r:DIRECTED]->(target) + SET r += $properties + RETURN r + :result:None +2024-10-30 06:46:56,634 - lightrag - INFO - _check_edge_existence:query:MATCH (a:`CHURCH`)-[r]-(b:`SCROOGE`) RETURN COUNT(r) > 0 AS edgeExists:result:True +2024-10-30 06:46:56,764 - lightrag - INFO - get_edge:query: + MATCH (start:`CHURCH`)-[r]->(end:`SCROOGE`) + RETURN properties(r) as edge_properties + LIMIT 1 + :result:{'keywords': '"community, contrast"', 'weight': 8.0, 'description': '"The church symbolizes the community and settings of Scrooge\'s past, highlighting the contrast between then and now."', 'source_id': 'chunk-bb21d58d36c6306fd8810ddd51c4a971'} +2024-10-30 06:46:56,897 - lightrag - INFO - _check_node_exists:query:MATCH (n:`CHURCH`) RETURN count(n) > 0 AS node_exists:result:True +2024-10-30 06:46:57,051 - lightrag - INFO - _check_node_exists:query:MATCH (n:`SCROOGE`) RETURN count(n) > 0 AS node_exists:result:True +2024-10-30 06:46:57,230 - lightrag - INFO - _do_upsert_edge:query: + MATCH (source:`CHURCH`) + WITH source + MATCH (target:`SCROOGE`) + MERGE (source)-[r:DIRECTED]->(target) + SET r += $properties + RETURN r + :result:None +2024-10-30 06:46:57,409 - lightrag - INFO - _check_edge_existence:query:MATCH (a:`SCROOGE`)-[r]-(b:`WINDING RIVER`) RETURN COUNT(r) > 0 AS edgeExists:result:True +2024-10-30 06:46:57,538 - lightrag - INFO - get_edge:query: + MATCH (start:`SCROOGE`)-[r]->(end:`WINDING RIVER`) + RETURN properties(r) as edge_properties + LIMIT 1 + :result:{'keywords': '"nostalgia, memory"', 'weight': 8.0, 'description': '"The winding river evokes memories and emotions for Scrooge, connecting him to his past experiences and places."', 'source_id': 'chunk-bb21d58d36c6306fd8810ddd51c4a971'} +2024-10-30 06:46:57,655 - lightrag - INFO - _check_node_exists:query:MATCH (n:`SCROOGE`) RETURN count(n) > 0 AS node_exists:result:True +2024-10-30 06:46:57,819 - lightrag - INFO - _check_node_exists:query:MATCH (n:`WINDING RIVER`) RETURN count(n) > 0 AS node_exists:result:True +2024-10-30 06:46:58,004 - lightrag - INFO - _do_upsert_edge:query: + MATCH (source:`SCROOGE`) + WITH source + MATCH (target:`WINDING RIVER`) + MERGE (source)-[r:DIRECTED]->(target) + SET r += $properties + RETURN r + :result:None +2024-10-30 06:46:58,184 - lightrag - INFO - _check_edge_existence:query:MATCH (a:`GHOST OF CHRISTMAS PAST`)-[r]-(b:`SCROOGE'S MEMORIES`) RETURN COUNT(r) > 0 AS edgeExists:result:True +2024-10-30 06:46:58,314 - lightrag - INFO - get_edge:query: + MATCH (start:`GHOST OF CHRISTMAS PAST`)-[r]->(end:`SCROOGE'S MEMORIES`) + RETURN properties(r) as edge_properties + LIMIT 1 + :result:{'keywords': '"memory, confrontation"', 'weight': 9.0, 'description': '"The Ghost facilitates Scrooge\'s recollection of his memories, allowing him to confront his past choices."', 'source_id': 'chunk-bb21d58d36c6306fd8810ddd51c4a971'} +2024-10-30 06:46:58,441 - lightrag - INFO - _check_node_exists:query:MATCH (n:`GHOST OF CHRISTMAS PAST`) RETURN count(n) > 0 AS node_exists:result:True +2024-10-30 06:46:58,603 - lightrag - INFO - _check_node_exists:query:MATCH (n:`SCROOGE'S MEMORIES`) RETURN count(n) > 0 AS node_exists:result:True +2024-10-30 06:46:58,775 - lightrag - INFO - _do_upsert_edge:query: + MATCH (source:`GHOST OF CHRISTMAS PAST`) + WITH source + MATCH (target:`SCROOGE'S MEMORIES`) + MERGE (source)-[r:DIRECTED]->(target) + SET r += $properties + RETURN r + :result:None +2024-10-30 06:46:58,959 - lightrag - INFO - _check_edge_existence:query:MATCH (a:`SCROOGE`)-[r]-(b:`THE SPIRIT`) RETURN COUNT(r) > 0 AS edgeExists:result:True +2024-10-30 06:46:59,090 - lightrag - INFO - get_edge:query: + MATCH (start:`SCROOGE`)-[r]->(end:`THE SPIRIT`) + RETURN properties(r) as edge_properties + LIMIT 1 + :result:{'keywords': '"guidance, transformation""moral guidance, transformation""self-reflection, transformation""supernatural guidance, self-reflection""supernatural intervention, guidance"', 'weight': 47.0, 'description': '"Scrooge engages with the Spirit as it reveals memories that prompt significant self-reflection and consideration of change.""Scrooge is guided by the Spirit, who shows him different scenes related to the joy and struggles of Christmas, aiming to change his heart.""The Spirit challenges Scrooge\'s perspective on life, urging him to consider the implications of his actions in light of death.""The Spirit represents an upcoming change in Scrooge\'s life, aiming to guide him towards redemption.""The Spirit represents moral lessons and urges Scrooge to change his ways for a better future."', 'source_id': 'chunk-b2f98bc7abb0c67d4c86055c7fd72218chunk-e1f29eeadc1d8ab46dc8a0bbd3c56b64chunk-91572b3cd42786ba4cb2f180ca25cbf4chunk-da2472b4ef2a535b62908f14d0fb0ca9chunk-91614df5cb74cbe5e109a338a82041e9'} +2024-10-30 06:46:59,209 - lightrag - INFO - _check_node_exists:query:MATCH (n:`SCROOGE`) RETURN count(n) > 0 AS node_exists:result:True +2024-10-30 06:46:59,382 - lightrag - INFO - _check_node_exists:query:MATCH (n:`THE SPIRIT`) RETURN count(n) > 0 AS node_exists:result:True +2024-10-30 06:46:59,557 - lightrag - INFO - _do_upsert_edge:query: + MATCH (source:`SCROOGE`) + WITH source + MATCH (target:`THE SPIRIT`) + MERGE (source)-[r:DIRECTED]->(target) + SET r += $properties + RETURN r + :result:None +2024-10-30 06:46:59,736 - lightrag - INFO - _check_edge_existence:query:MATCH (a:`ALI BABA`)-[r]-(b:`SCROOGE`) RETURN COUNT(r) > 0 AS edgeExists:result:True +2024-10-30 06:46:59,869 - lightrag - INFO - get_edge:query: + MATCH (start:`ALI BABA`)-[r]->(end:`SCROOGE`) + RETURN properties(r) as edge_properties + LIMIT 1 + :result:{'keywords': '"nostalgia, childhood stories"', 'weight': 8.0, 'description': '"Scrooge recalls Ali Baba while reflecting on memories of Christmas, indicating a strong personal connection to the story and its impact on him."', 'source_id': 'chunk-8590d9263cd2cd4fa583c432fc54e6c3'} +2024-10-30 06:47:00,000 - lightrag - INFO - _check_node_exists:query:MATCH (n:`ALI BABA`) RETURN count(n) > 0 AS node_exists:result:True +2024-10-30 06:47:00,155 - lightrag - INFO - _check_node_exists:query:MATCH (n:`SCROOGE`) RETURN count(n) > 0 AS node_exists:result:True +2024-10-30 06:47:00,334 - lightrag - INFO - _do_upsert_edge:query: + MATCH (source:`ALI BABA`) + WITH source + MATCH (target:`SCROOGE`) + MERGE (source)-[r:DIRECTED]->(target) + SET r += $properties + RETURN r + :result:None +2024-10-30 06:47:00,511 - lightrag - INFO - _check_edge_existence:query:MATCH (a:`SCROOGE`)-[r]-(b:`VALENTINE`) RETURN COUNT(r) > 0 AS edgeExists:result:True +2024-10-30 06:47:00,639 - lightrag - INFO - get_edge:query: + MATCH (start:`SCROOGE`)-[r]->(end:`VALENTINE`) + RETURN properties(r) as edge_properties + LIMIT 1 + :result:{'keywords': '"family memories, nostalgia"', 'weight': 6.0, 'description': '"Scrooge\'s mention of Valentine signifies his memories of familial ties and childhood experiences during Christmas."', 'source_id': 'chunk-8590d9263cd2cd4fa583c432fc54e6c3'} +2024-10-30 06:47:00,756 - lightrag - INFO - _check_node_exists:query:MATCH (n:`SCROOGE`) RETURN count(n) > 0 AS node_exists:result:True +2024-10-30 06:47:00,921 - lightrag - INFO - _check_node_exists:query:MATCH (n:`VALENTINE`) RETURN count(n) > 0 AS node_exists:result:True +2024-10-30 06:47:01,101 - lightrag - INFO - _do_upsert_edge:query: + MATCH (source:`SCROOGE`) + WITH source + MATCH (target:`VALENTINE`) + MERGE (source)-[r:DIRECTED]->(target) + SET r += $properties + RETURN r + :result:None +2024-10-30 06:47:01,279 - lightrag - INFO - _check_edge_existence:query:MATCH (a:`ORSON`)-[r]-(b:`VALENTINE`) RETURN COUNT(r) > 0 AS edgeExists:result:True +2024-10-30 06:47:01,416 - lightrag - INFO - get_edge:query: + MATCH (start:`ORSON`)-[r]->(end:`VALENTINE`) + RETURN properties(r) as edge_properties + LIMIT 1 + :result:{'keywords': '"family, nostalgia"', 'weight': 8.0, 'description': '"Orson and Valentine are brothers in the stories remembered by Scrooge, representing familial bonds in his past."', 'source_id': 'chunk-8590d9263cd2cd4fa583c432fc54e6c3'} +2024-10-30 06:47:01,543 - lightrag - INFO - _check_node_exists:query:MATCH (n:`ORSON`) RETURN count(n) > 0 AS node_exists:result:True +2024-10-30 06:47:01,713 - lightrag - INFO - _check_node_exists:query:MATCH (n:`VALENTINE`) RETURN count(n) > 0 AS node_exists:result:True +2024-10-30 06:47:01,888 - lightrag - INFO - _do_upsert_edge:query: + MATCH (source:`ORSON`) + WITH source + MATCH (target:`VALENTINE`) + MERGE (source)-[r:DIRECTED]->(target) + SET r += $properties + RETURN r + :result:None +2024-10-30 06:47:02,068 - lightrag - INFO - _check_edge_existence:query:MATCH (a:`CHILD`)-[r]-(b:`SCROOGE`) RETURN COUNT(r) > 0 AS edgeExists:result:True +2024-10-30 06:47:02,207 - lightrag - INFO - get_edge:query: + MATCH (start:`CHILD`)-[r]->(end:`SCROOGE`) + RETURN properties(r) as edge_properties + LIMIT 1 + :result:{'keywords': '"self-reflection, past connection"', 'weight': 8.0, 'description': '"Scrooge sees his younger self in the solitary child, sparking deep emotional reflections about his past and choices."', 'source_id': 'chunk-8590d9263cd2cd4fa583c432fc54e6c3'} +2024-10-30 06:47:02,338 - lightrag - INFO - _check_node_exists:query:MATCH (n:`CHILD`) RETURN count(n) > 0 AS node_exists:result:True +2024-10-30 06:47:02,499 - lightrag - INFO - _check_node_exists:query:MATCH (n:`SCROOGE`) RETURN count(n) > 0 AS node_exists:result:True +2024-10-30 06:47:02,669 - lightrag - INFO - _do_upsert_edge:query: + MATCH (source:`CHILD`) + WITH source + MATCH (target:`SCROOGE`) + MERGE (source)-[r:DIRECTED]->(target) + SET r += $properties + RETURN r + :result:None +2024-10-30 06:47:02,842 - lightrag - INFO - _check_edge_existence:query:MATCH (a:`ALI BABA`)-[r]-(b:`ROBIN CRUSOE`) RETURN COUNT(r) > 0 AS edgeExists:result:True +2024-10-30 06:47:02,973 - lightrag - INFO - get_edge:query: + MATCH (start:`ALI BABA`)-[r]->(end:`ROBIN CRUSOE`) + RETURN properties(r) as edge_properties + LIMIT 1 + :result:{'keywords': '"literary connection, childhood memories"', 'weight': 7.0, 'description': '"Both Ali Baba and Robin Crusoe represent figures from stories that shaped Scrooge\'s childhood memories and sentiments towards Christmas."', 'source_id': 'chunk-8590d9263cd2cd4fa583c432fc54e6c3'} +2024-10-30 06:47:03,103 - lightrag - INFO - _check_node_exists:query:MATCH (n:`ALI BABA`) RETURN count(n) > 0 AS node_exists:result:True +2024-10-30 06:47:03,274 - lightrag - INFO - _check_node_exists:query:MATCH (n:`ROBIN CRUSOE`) RETURN count(n) > 0 AS node_exists:result:True +2024-10-30 06:47:03,452 - lightrag - INFO - _do_upsert_edge:query: + MATCH (source:`ALI BABA`) + WITH source + MATCH (target:`ROBIN CRUSOE`) + MERGE (source)-[r:DIRECTED]->(target) + SET r += $properties + RETURN r + :result:None +2024-10-30 06:47:03,626 - lightrag - INFO - _check_edge_existence:query:MATCH (a:`MANSION`)-[r]-(b:`SCROOGE`) RETURN COUNT(r) > 0 AS edgeExists:result:True +2024-10-30 06:47:03,758 - lightrag - INFO - get_edge:query: + MATCH (start:`MANSION`)-[r]->(end:`SCROOGE`) + RETURN properties(r) as edge_properties + LIMIT 1 + :result:{'keywords': '"symbolism, emotional state"', 'weight': 8.0, 'description': '"The Mansion symbolizes the neglect and decay that parallels Scrooge\'s own emotional state and memories of his past."', 'source_id': 'chunk-8590d9263cd2cd4fa583c432fc54e6c3'} +2024-10-30 06:47:03,885 - lightrag - INFO - _check_node_exists:query:MATCH (n:`MANSION`) RETURN count(n) > 0 AS node_exists:result:True +2024-10-30 06:47:04,047 - lightrag - INFO - _check_node_exists:query:MATCH (n:`SCROOGE`) RETURN count(n) > 0 AS node_exists:result:True +2024-10-30 06:47:04,228 - lightrag - INFO - _do_upsert_edge:query: + MATCH (source:`MANSION`) + WITH source + MATCH (target:`SCROOGE`) + MERGE (source)-[r:DIRECTED]->(target) + SET r += $properties + RETURN r + :result:None +2024-10-30 06:47:04,404 - lightrag - INFO - _check_edge_existence:query:MATCH (a:`MANSION`)-[r]-(b:`THE GHOST`) RETURN COUNT(r) > 0 AS edgeExists:result:True +2024-10-30 06:47:04,538 - lightrag - INFO - get_edge:query: + MATCH (start:`MANSION`)-[r]->(end:`THE GHOST`) + RETURN properties(r) as edge_properties + LIMIT 1 + :result:{'keywords': '"guidance, contrast"', 'weight': 9.0, 'description': '"The Ghost guides Scrooge through the Mansion, illustrating the contrast between past warmth and present decay."', 'source_id': 'chunk-8590d9263cd2cd4fa583c432fc54e6c3'} +2024-10-30 06:47:04,681 - lightrag - INFO - _check_node_exists:query:MATCH (n:`MANSION`) RETURN count(n) > 0 AS node_exists:result:True +2024-10-30 06:47:04,883 - lightrag - INFO - _check_node_exists:query:MATCH (n:`THE GHOST`) RETURN count(n) > 0 AS node_exists:result:True +2024-10-30 06:47:05,065 - lightrag - INFO - _do_upsert_edge:query: + MATCH (source:`MANSION`) + WITH source + MATCH (target:`THE GHOST`) + MERGE (source)-[r:DIRECTED]->(target) + SET r += $properties + RETURN r + :result:None +2024-10-30 06:47:05,243 - lightrag - INFO - _check_edge_existence:query:MATCH (a:`FRIDAY`)-[r]-(b:`ROBIN CRUSOE`) RETURN COUNT(r) > 0 AS edgeExists:result:True +2024-10-30 06:47:05,380 - lightrag - INFO - get_edge:query: + MATCH (start:`FRIDAY`)-[r]->(end:`ROBIN CRUSOE`) + RETURN properties(r) as edge_properties + LIMIT 1 + :result:{'keywords': '"friendship, adventure"', 'weight': 7.0, 'description': '"Friday serves alongside Robin Crusoe in the stories remembered by Scrooge, representing loyalty and friendship in adventure."', 'source_id': 'chunk-8590d9263cd2cd4fa583c432fc54e6c3'} +2024-10-30 06:47:05,513 - lightrag - INFO - _check_node_exists:query:MATCH (n:`FRIDAY`) RETURN count(n) > 0 AS node_exists:result:True +2024-10-30 06:47:05,680 - lightrag - INFO - _check_node_exists:query:MATCH (n:`ROBIN CRUSOE`) RETURN count(n) > 0 AS node_exists:result:True +2024-10-30 06:47:05,857 - lightrag - INFO - _do_upsert_edge:query: + MATCH (source:`FRIDAY`) + WITH source + MATCH (target:`ROBIN CRUSOE`) + MERGE (source)-[r:DIRECTED]->(target) + SET r += $properties + RETURN r + :result:None +2024-10-30 06:47:06,036 - lightrag - INFO - _check_edge_existence:query:MATCH (a:`SCROOGE`)-[r]-(b:`THE PARROT`) RETURN COUNT(r) > 0 AS edgeExists:result:True +2024-10-30 06:47:06,168 - lightrag - INFO - get_edge:query: + MATCH (start:`SCROOGE`)-[r]->(end:`THE PARROT`) + RETURN properties(r) as edge_properties + LIMIT 1 + :result:{'keywords': '"nostalgia, whimsy"', 'weight': 6.0, 'description': '"Scrooge recalls the Parrot associated with his memories of Robin Crusoe, highlighting the whimsical and nostalgic aspects of his reflections."', 'source_id': 'chunk-8590d9263cd2cd4fa583c432fc54e6c3'} +2024-10-30 06:47:06,289 - lightrag - INFO - _check_node_exists:query:MATCH (n:`SCROOGE`) RETURN count(n) > 0 AS node_exists:result:True +2024-10-30 06:47:06,463 - lightrag - INFO - _check_node_exists:query:MATCH (n:`THE PARROT`) RETURN count(n) > 0 AS node_exists:result:True +2024-10-30 06:47:06,641 - lightrag - INFO - _do_upsert_edge:query: + MATCH (source:`SCROOGE`) + WITH source + MATCH (target:`THE PARROT`) + MERGE (source)-[r:DIRECTED]->(target) + SET r += $properties + RETURN r + :result:None +2024-10-30 06:47:06,821 - lightrag - INFO - _check_edge_existence:query:MATCH (a:`CHILD`)-[r]-(b:`THE SPIRIT`) RETURN COUNT(r) > 0 AS edgeExists:result:True +2024-10-30 06:47:06,950 - lightrag - INFO - get_edge:query: + MATCH (start:`CHILD`)-[r]->(end:`THE SPIRIT`) + RETURN properties(r) as edge_properties + LIMIT 1 + :result:{'keywords': '"remembrance, neglect"', 'weight': 8.0, 'description': '"The Spirit points Scrooge to the Child, emphasizing themes of neglect, remembrance, and the importance of past experiences."', 'source_id': 'chunk-8590d9263cd2cd4fa583c432fc54e6c3'} +2024-10-30 06:47:07,080 - lightrag - INFO - _check_node_exists:query:MATCH (n:`CHILD`) RETURN count(n) > 0 AS node_exists:result:True +2024-10-30 06:47:07,281 - lightrag - INFO - _check_node_exists:query:MATCH (n:`THE SPIRIT`) RETURN count(n) > 0 AS node_exists:result:True +2024-10-30 06:47:07,465 - lightrag - INFO - _do_upsert_edge:query: + MATCH (source:`CHILD`) + WITH source + MATCH (target:`THE SPIRIT`) + MERGE (source)-[r:DIRECTED]->(target) + SET r += $properties + RETURN r + :result:None +2024-10-30 06:47:07,639 - lightrag - INFO - _check_edge_existence:query:MATCH (a:`DICK WILKINS`)-[r]-(b:`FEZZIWIG`) RETURN COUNT(r) > 0 AS edgeExists:result:True +2024-10-30 06:47:07,773 - lightrag - INFO - get_edge:query: + MATCH (start:`DICK WILKINS`)-[r]->(end:`FEZZIWIG`) + RETURN properties(r) as edge_properties + LIMIT 1 + :result:{'keywords': '"apprenticeship, camaraderie"', 'weight': 7.0, 'description': '"Fezziwig and Dick Wilkins are connected through their roles in Scrooge\'s past, representing camaraderie and joyful experiences at work."', 'source_id': 'chunk-c6c248858d1b13ab7ee9ca13c1aeed6b'} +2024-10-30 06:47:07,905 - lightrag - INFO - _check_node_exists:query:MATCH (n:`DICK WILKINS`) RETURN count(n) > 0 AS node_exists:result:True +2024-10-30 06:47:08,070 - lightrag - INFO - _check_node_exists:query:MATCH (n:`FEZZIWIG`) RETURN count(n) > 0 AS node_exists:result:True +2024-10-30 06:47:08,254 - lightrag - INFO - _do_upsert_edge:query: + MATCH (source:`DICK WILKINS`) + WITH source + MATCH (target:`FEZZIWIG`) + MERGE (source)-[r:DIRECTED]->(target) + SET r += $properties + RETURN r + :result:None +2024-10-30 06:47:08,435 - lightrag - INFO - _check_edge_existence:query:MATCH (a:`DICK WILKINS`)-[r]-(b:`SCROOGE`) RETURN COUNT(r) > 0 AS edgeExists:result:True +2024-10-30 06:47:08,566 - lightrag - INFO - get_edge:query: + MATCH (start:`DICK WILKINS`)-[r]->(end:`SCROOGE`) + RETURN properties(r) as edge_properties + LIMIT 1 + :result:{'keywords': '"friendship, apprenticeship"', 'weight': 7.0, 'description': '"Scrooge recalls his friendship with Dick Wilkins, highlighting the connections of youth and support during their apprenticeship."', 'source_id': 'chunk-c6c248858d1b13ab7ee9ca13c1aeed6b'} +2024-10-30 06:47:08,695 - lightrag - INFO - _check_node_exists:query:MATCH (n:`DICK WILKINS`) RETURN count(n) > 0 AS node_exists:result:True +2024-10-30 06:47:08,847 - lightrag - INFO - _check_node_exists:query:MATCH (n:`SCROOGE`) RETURN count(n) > 0 AS node_exists:result:True +2024-10-30 06:47:09,024 - lightrag - INFO - _do_upsert_edge:query: + MATCH (source:`DICK WILKINS`) + WITH source + MATCH (target:`SCROOGE`) + MERGE (source)-[r:DIRECTED]->(target) + SET r += $properties + RETURN r + :result:None +2024-10-30 06:47:09,202 - lightrag - INFO - _check_edge_existence:query:MATCH (a:`CHRISTMAS-TIME`)-[r]-(b:`SCROOGE`) RETURN COUNT(r) > 0 AS edgeExists:result:True +2024-10-30 06:47:09,338 - lightrag - INFO - get_edge:query: + MATCH (start:`CHRISTMAS-TIME`)-[r]->(end:`SCROOGE`) + RETURN properties(r) as edge_properties + LIMIT 1 + :result:{'keywords': '"cynicism, holiday spirit conflict"', 'weight': 9.0, 'description': '"Scrooge views Christmas-time as a burden rather than a celebration, contrasting with the feelings of others around him."', 'source_id': 'chunk-5dac41b3f9eeaf794f0147400b1718cd'} +2024-10-30 06:47:09,473 - lightrag - INFO - _check_node_exists:query:MATCH (n:`CHRISTMAS-TIME`) RETURN count(n) > 0 AS node_exists:result:True +2024-10-30 06:47:09,629 - lightrag - INFO - _check_node_exists:query:MATCH (n:`SCROOGE`) RETURN count(n) > 0 AS node_exists:result:True +2024-10-30 06:47:09,807 - lightrag - INFO - _do_upsert_edge:query: + MATCH (source:`CHRISTMAS-TIME`) + WITH source + MATCH (target:`SCROOGE`) + MERGE (source)-[r:DIRECTED]->(target) + SET r += $properties + RETURN r + :result:None +2024-10-30 06:47:09,981 - lightrag - INFO - _check_edge_existence:query:MATCH (a:`SCROOGE`)-[r]-(b:`THE CITY`) RETURN COUNT(r) > 0 AS edgeExists:result:True +2024-10-30 06:47:10,116 - lightrag - INFO - get_edge:query: + MATCH (start:`SCROOGE`)-[r]->(end:`THE CITY`) + RETURN properties(r) as edge_properties + LIMIT 1 + :result:{'keywords': '"disconnection, personal evolution""reflection, urban life"', 'weight': 10.0, 'description': '"Scrooge\'s reflections in the City highlight his relationship with his past and the contrast of his current life.""Scrooge\'s relationship with The City is marked by detachment, representing his lost connection to his past self and experiences."', 'source_id': 'chunk-bb21d58d36c6306fd8810ddd51c4a971chunk-c6c248858d1b13ab7ee9ca13c1aeed6b'} +2024-10-30 06:47:10,235 - lightrag - INFO - _check_node_exists:query:MATCH (n:`SCROOGE`) RETURN count(n) > 0 AS node_exists:result:True +2024-10-30 06:47:10,403 - lightrag - INFO - _check_node_exists:query:MATCH (n:`THE CITY`) RETURN count(n) > 0 AS node_exists:result:True +2024-10-30 06:47:10,580 - lightrag - INFO - _do_upsert_edge:query: + MATCH (source:`SCROOGE`) + WITH source + MATCH (target:`THE CITY`) + MERGE (source)-[r:DIRECTED]->(target) + SET r += $properties + RETURN r + :result:None +2024-10-30 06:47:10,755 - lightrag - INFO - _check_edge_existence:query:MATCH (a:`DICK WILKINS`)-[r]-(b:`EBENEZER SCROOGE`) RETURN COUNT(r) > 0 AS edgeExists:result:True +2024-10-30 06:47:10,886 - lightrag - INFO - get_edge:query: + MATCH (start:`DICK WILKINS`)-[r]->(end:`EBENEZER SCROOGE`) + RETURN properties(r) as edge_properties + LIMIT 1 + :result:{'keywords': '"nostalgia, past friendship"', 'weight': 8.0, 'description': '"Scrooge remembers Dick Wilkins fondly, showing a connection from their past as apprentices together."', 'source_id': 'chunk-8bc1edd983869352d14cf0886a9175a7'} +2024-10-30 06:47:11,007 - lightrag - INFO - _check_node_exists:query:MATCH (n:`DICK WILKINS`) RETURN count(n) > 0 AS node_exists:result:True +2024-10-30 06:47:11,174 - lightrag - INFO - _check_node_exists:query:MATCH (n:`EBENEZER SCROOGE`) RETURN count(n) > 0 AS node_exists:result:True +2024-10-30 06:47:11,350 - lightrag - INFO - _do_upsert_edge:query: + MATCH (source:`DICK WILKINS`) + WITH source + MATCH (target:`EBENEZER SCROOGE`) + MERGE (source)-[r:DIRECTED]->(target) + SET r += $properties + RETURN r + :result:None +2024-10-30 06:47:11,526 - lightrag - INFO - _check_edge_existence:query:MATCH (a:`EBENEZER SCROOGE`)-[r]-(b:`FEZZIWIG`) RETURN COUNT(r) > 0 AS edgeExists:result:True +2024-10-30 06:47:11,662 - lightrag - INFO - get_edge:query: + MATCH (start:`EBENEZER SCROOGE`)-[r]->(end:`FEZZIWIG`) + RETURN properties(r) as edge_properties + LIMIT 1 + :result:{'keywords': '"mentorship, celebration""reflection, mentorship"', 'weight': 17.0, 'description': '"Fezziwig created a memorable and joyful atmosphere for Scrooge and his fellow apprentices during the celebration.""Scrooge reflects on his positive memories of Fezziwig, contributing to the theme of mentorship and joy in the past."', 'source_id': 'chunk-8bc1edd983869352d14cf0886a9175a7'} +2024-10-30 06:47:11,791 - lightrag - INFO - _check_node_exists:query:MATCH (n:`EBENEZER SCROOGE`) RETURN count(n) > 0 AS node_exists:result:True +2024-10-30 06:47:11,961 - lightrag - INFO - _check_node_exists:query:MATCH (n:`FEZZIWIG`) RETURN count(n) > 0 AS node_exists:result:True +2024-10-30 06:47:12,142 - lightrag - INFO - _do_upsert_edge:query: + MATCH (source:`EBENEZER SCROOGE`) + WITH source + MATCH (target:`FEZZIWIG`) + MERGE (source)-[r:DIRECTED]->(target) + SET r += $properties + RETURN r + :result:None +2024-10-30 06:47:12,330 - lightrag - INFO - _check_edge_existence:query:MATCH (a:`CHRISTMAS EVE`)-[r]-(b:`FEZZIWIG`) RETURN COUNT(r) > 0 AS edgeExists:result:True +2024-10-30 06:47:12,466 - lightrag - INFO - get_edge:query: + MATCH (start:`CHRISTMAS EVE`)-[r]->(end:`FEZZIWIG`) + RETURN properties(r) as edge_properties + LIMIT 1 + :result:{'keywords': '"event significance, festivity"', 'weight': 10.0, 'description': '"Fezziwig\'s celebrations take place on Christmas Eve, highlighting the special significance of this event."', 'source_id': 'chunk-8bc1edd983869352d14cf0886a9175a7'} +2024-10-30 06:47:12,599 - lightrag - INFO - _check_node_exists:query:MATCH (n:`CHRISTMAS EVE`) RETURN count(n) > 0 AS node_exists:result:True +2024-10-30 06:47:12,762 - lightrag - INFO - _check_node_exists:query:MATCH (n:`FEZZIWIG`) RETURN count(n) > 0 AS node_exists:result:True +2024-10-30 06:47:12,940 - lightrag - INFO - _do_upsert_edge:query: + MATCH (source:`CHRISTMAS EVE`) + WITH source + MATCH (target:`FEZZIWIG`) + MERGE (source)-[r:DIRECTED]->(target) + SET r += $properties + RETURN r + :result:None +2024-10-30 06:47:13,118 - lightrag - INFO - _check_edge_existence:query:MATCH (a:`FEZZIWIG`)-[r]-(b:`MRS. FEZZIWIG`) RETURN COUNT(r) > 0 AS edgeExists:result:True +2024-10-30 06:47:13,251 - lightrag - INFO - get_edge:query: + MATCH (start:`FEZZIWIG`)-[r]->(end:`MRS. FEZZIWIG`) + RETURN properties(r) as edge_properties + LIMIT 1 + :result:{'keywords': '"festivity, companionship""partnership, celebration"', 'weight': 25.0, 'description': '"Fezziwig and Mrs. Fezziwig dance together, showcasing their joyful relationship and the spirit of togetherness during Christmas.""Fezziwig and Mrs. Fezziwig work together to create a festive and welcoming environment during the domestic ball.""Mrs. Fezziwig partners with Fezziwig in the festivities, highlighting their companionship during the celebrations."', 'source_id': 'chunk-b2f98bc7abb0c67d4c86055c7fd72218chunk-89777b838d5447c7bd1ec11282c4ee89chunk-8bc1edd983869352d14cf0886a9175a7'} +2024-10-30 06:47:13,371 - lightrag - INFO - _check_node_exists:query:MATCH (n:`FEZZIWIG`) RETURN count(n) > 0 AS node_exists:result:True +2024-10-30 06:47:13,541 - lightrag - INFO - _check_node_exists:query:MATCH (n:`MRS. FEZZIWIG`) RETURN count(n) > 0 AS node_exists:result:True +2024-10-30 06:47:13,724 - lightrag - INFO - _do_upsert_edge:query: + MATCH (source:`FEZZIWIG`) + WITH source + MATCH (target:`MRS. FEZZIWIG`) + MERGE (source)-[r:DIRECTED]->(target) + SET r += $properties + RETURN r + :result:None +2024-10-30 06:47:13,901 - lightrag - INFO - _check_edge_existence:query:MATCH (a:`FEZZIWIG`)-[r]-(b:`THE DANCERS`) RETURN COUNT(r) > 0 AS edgeExists:result:True +2024-10-30 06:47:14,036 - lightrag - INFO - get_edge:query: + MATCH (start:`FEZZIWIG`)-[r]->(end:`THE DANCERS`) + RETURN properties(r) as edge_properties + LIMIT 1 + :result:{'keywords': '"celebration, community"', 'weight': 9.0, 'description': '"The Dancers participate in the lively celebrations orchestrated by Fezziwig, showcasing the joyous atmosphere of the event."', 'source_id': 'chunk-8bc1edd983869352d14cf0886a9175a7'} +2024-10-30 06:47:14,156 - lightrag - INFO - _check_node_exists:query:MATCH (n:`FEZZIWIG`) RETURN count(n) > 0 AS node_exists:result:True +2024-10-30 06:47:14,324 - lightrag - INFO - _check_node_exists:query:MATCH (n:`THE DANCERS`) RETURN count(n) > 0 AS node_exists:result:True +2024-10-30 06:47:14,501 - lightrag - INFO - _do_upsert_edge:query: + MATCH (source:`FEZZIWIG`) + WITH source + MATCH (target:`THE DANCERS`) + MERGE (source)-[r:DIRECTED]->(target) + SET r += $properties + RETURN r + :result:None +2024-10-30 06:47:14,680 - lightrag - INFO - _check_edge_existence:query:MATCH (a:`FEZZIWIG`)-[r]-(b:`THE FIDDLER`) RETURN COUNT(r) > 0 AS edgeExists:result:True +2024-10-30 06:47:14,811 - lightrag - INFO - get_edge:query: + MATCH (start:`FEZZIWIG`)-[r]->(end:`THE FIDDLER`) + RETURN properties(r) as edge_properties + LIMIT 1 + :result:{'keywords': '"musical contribution, festive atmosphere"', 'weight': 9.0, 'description': '"The Fiddler provides music for the dance, playing a crucial role in enhancing the festive atmosphere created by Fezziwig."', 'source_id': 'chunk-8bc1edd983869352d14cf0886a9175a7'} +2024-10-30 06:47:14,929 - lightrag - INFO - _check_node_exists:query:MATCH (n:`FEZZIWIG`) RETURN count(n) > 0 AS node_exists:result:True +2024-10-30 06:47:15,100 - lightrag - INFO - _check_node_exists:query:MATCH (n:`THE FIDDLER`) RETURN count(n) > 0 AS node_exists:result:True +2024-10-30 06:47:15,280 - lightrag - INFO - _do_upsert_edge:query: + MATCH (source:`FEZZIWIG`) + WITH source + MATCH (target:`THE FIDDLER`) + MERGE (source)-[r:DIRECTED]->(target) + SET r += $properties + RETURN r + :result:None +2024-10-30 06:47:15,456 - lightrag - INFO - _check_edge_existence:query:MATCH (a:`THE THREE MISS FEZZIWIGS`)-[r]-(b:`THE YOUNG FOLLOWERS`) RETURN COUNT(r) > 0 AS edgeExists:result:True +2024-10-30 06:47:15,591 - lightrag - INFO - get_edge:query: + MATCH (start:`THE THREE MISS FEZZIWIGS`)-[r]->(end:`THE YOUNG FOLLOWERS`) + RETURN properties(r) as edge_properties + LIMIT 1 + :result:{'keywords': '"community, interactions"', 'weight': 8.0, 'description': '"The Three Miss Fezziwigs interact with the Young Followers during the dance, highlighting the communal joy of the celebration."', 'source_id': 'chunk-8bc1edd983869352d14cf0886a9175a7'} +2024-10-30 06:47:15,719 - lightrag - INFO - _check_node_exists:query:MATCH (n:`THE THREE MISS FEZZIWIGS`) RETURN count(n) > 0 AS node_exists:result:True +2024-10-30 06:47:15,884 - lightrag - INFO - _check_node_exists:query:MATCH (n:`THE YOUNG FOLLOWERS`) RETURN count(n) > 0 AS node_exists:result:True +2024-10-30 06:47:16,061 - lightrag - INFO - _do_upsert_edge:query: + MATCH (source:`THE THREE MISS FEZZIWIGS`) + WITH source + MATCH (target:`THE YOUNG FOLLOWERS`) + MERGE (source)-[r:DIRECTED]->(target) + SET r += $properties + RETURN r + :result:None +2024-10-30 06:47:16,240 - lightrag - INFO - _check_edge_existence:query:MATCH (a:`THE COOK`)-[r]-(b:`THE HOUSEMAID`) RETURN COUNT(r) > 0 AS edgeExists:result:True +2024-10-30 06:47:16,371 - lightrag - INFO - get_edge:query: + MATCH (start:`THE COOK`)-[r]->(end:`THE HOUSEMAID`) + RETURN properties(r) as edge_properties + LIMIT 1 + :result:{'keywords': '"inclusion, participation"', 'weight': 7.0, 'description': '"The Housemaid and The Cook are both present at Fezziwig\'s celebration, participating in the festivities and showcasing the inclusive environment."', 'source_id': 'chunk-8bc1edd983869352d14cf0886a9175a7'} +2024-10-30 06:47:16,500 - lightrag - INFO - _check_node_exists:query:MATCH (n:`THE COOK`) RETURN count(n) > 0 AS node_exists:result:True +2024-10-30 06:47:16,670 - lightrag - INFO - _check_node_exists:query:MATCH (n:`THE HOUSEMAID`) RETURN count(n) > 0 AS node_exists:result:True +2024-10-30 06:47:16,850 - lightrag - INFO - _do_upsert_edge:query: + MATCH (source:`THE COOK`) + WITH source + MATCH (target:`THE HOUSEMAID`) + MERGE (source)-[r:DIRECTED]->(target) + SET r += $properties + RETURN r + :result:None +2024-10-30 06:47:17,024 - lightrag - INFO - _check_edge_existence:query:MATCH (a:`THE BOY FROM OVER THE WAY`)-[r]-(b:`THE GIRL FROM NEXT DOOR`) RETURN COUNT(r) > 0 AS edgeExists:result:True +2024-10-30 06:47:17,160 - lightrag - INFO - get_edge:query: + MATCH (start:`THE BOY FROM OVER THE WAY`)-[r]->(end:`THE GIRL FROM NEXT DOOR`) + RETURN properties(r) as edge_properties + LIMIT 1 + :result:{'keywords': '"youthful antics, dynamics"', 'weight': 6.0, 'description': '"The Boy\'s attempts to hide from The Girl demonstrate the youthful interactions and dynamics during the festive event."', 'source_id': 'chunk-8bc1edd983869352d14cf0886a9175a7'} +2024-10-30 06:47:17,284 - lightrag - INFO - _check_node_exists:query:MATCH (n:`THE BOY FROM OVER THE WAY`) RETURN count(n) > 0 AS node_exists:result:True +2024-10-30 06:47:17,465 - lightrag - INFO - _check_node_exists:query:MATCH (n:`THE GIRL FROM NEXT DOOR`) RETURN count(n) > 0 AS node_exists:result:True +2024-10-30 06:47:17,646 - lightrag - INFO - _do_upsert_edge:query: + MATCH (source:`THE BOY FROM OVER THE WAY`) + WITH source + MATCH (target:`THE GIRL FROM NEXT DOOR`) + MERGE (source)-[r:DIRECTED]->(target) + SET r += $properties + RETURN r + :result:None +2024-10-30 06:47:17,824 - lightrag - INFO - _check_edge_existence:query:MATCH (a:`SCROOGE`)-[r]-(b:`THE GHOST OF CHRISTMAS PAST`) RETURN COUNT(r) > 0 AS edgeExists:result:True +2024-10-30 06:47:17,956 - lightrag - INFO - get_edge:query: + MATCH (start:`SCROOGE`)-[r]->(end:`THE GHOST OF CHRISTMAS PAST`) + RETURN properties(r) as edge_properties + LIMIT 1 + :result:{'keywords': '"introspection, memory"', 'weight': 10.0, 'description': '"The Ghost of Christmas Past guides Scrooge through recollections, prompting his introspection about his former self and choices."', 'source_id': 'chunk-b2f98bc7abb0c67d4c86055c7fd72218'} +2024-10-30 06:47:18,074 - lightrag - INFO - _check_node_exists:query:MATCH (n:`SCROOGE`) RETURN count(n) > 0 AS node_exists:result:True +2024-10-30 06:47:18,251 - lightrag - INFO - _check_node_exists:query:MATCH (n:`THE GHOST OF CHRISTMAS PAST`) RETURN count(n) > 0 AS node_exists:result:True +2024-10-30 06:47:18,435 - lightrag - INFO - _do_upsert_edge:query: + MATCH (source:`SCROOGE`) + WITH source + MATCH (target:`THE GHOST OF CHRISTMAS PAST`) + MERGE (source)-[r:DIRECTED]->(target) + SET r += $properties + RETURN r + :result:None +2024-10-30 06:47:18,614 - lightrag - INFO - _check_edge_existence:query:MATCH (a:`FEZZIWIG`)-[r]-(b:`THE DOMESTIC BALL`) RETURN COUNT(r) > 0 AS edgeExists:result:True +2024-10-30 06:47:18,747 - lightrag - INFO - get_edge:query: + MATCH (start:`FEZZIWIG`)-[r]->(end:`THE DOMESTIC BALL`) + RETURN properties(r) as edge_properties + LIMIT 1 + :result:{'keywords': '"event organization, joy"', 'weight': 10.0, 'description': '"Fezziwig organizes the Domestic Ball, showcasing his ability to create joy and camaraderie among guests."', 'source_id': 'chunk-b2f98bc7abb0c67d4c86055c7fd72218'} +2024-10-30 06:47:18,863 - lightrag - INFO - _check_node_exists:query:MATCH (n:`FEZZIWIG`) RETURN count(n) > 0 AS node_exists:result:True +2024-10-30 06:47:19,025 - lightrag - INFO - _check_node_exists:query:MATCH (n:`THE DOMESTIC BALL`) RETURN count(n) > 0 AS node_exists:result:True +2024-10-30 06:47:19,201 - lightrag - INFO - _do_upsert_edge:query: + MATCH (source:`FEZZIWIG`) + WITH source + MATCH (target:`THE DOMESTIC BALL`) + MERGE (source)-[r:DIRECTED]->(target) + SET r += $properties + RETURN r + :result:None +2024-10-30 06:47:19,380 - lightrag - INFO - _check_edge_existence:query:MATCH (a:`DICK`)-[r]-(b:`SCROOGE`) RETURN COUNT(r) > 0 AS edgeExists:result:True +2024-10-30 06:47:19,511 - lightrag - INFO - get_edge:query: + MATCH (start:`DICK`)-[r]->(end:`SCROOGE`) + RETURN properties(r) as edge_properties + LIMIT 1 + :result:{'keywords': '"nostalgia, friendship"', 'weight': 7.0, 'description': '"Scrooge remembers Dick as a part of his past, highlighting their shared experiences during happier times."', 'source_id': 'chunk-b2f98bc7abb0c67d4c86055c7fd72218'} +2024-10-30 06:47:19,642 - lightrag - INFO - _check_node_exists:query:MATCH (n:`DICK`) RETURN count(n) > 0 AS node_exists:result:True +2024-10-30 06:47:19,798 - lightrag - INFO - _check_node_exists:query:MATCH (n:`SCROOGE`) RETURN count(n) > 0 AS node_exists:result:True +2024-10-30 06:47:19,978 - lightrag - INFO - _do_upsert_edge:query: + MATCH (source:`DICK`) + WITH source + MATCH (target:`SCROOGE`) + MERGE (source)-[r:DIRECTED]->(target) + SET r += $properties + RETURN r + :result:None +2024-10-30 06:47:20,151 - lightrag - INFO - _check_edge_existence:query:MATCH (a:`FEZZIWIG`)-[r]-(b:`THE TWO APPRENTICES`) RETURN COUNT(r) > 0 AS edgeExists:result:True +2024-10-30 06:47:20,281 - lightrag - INFO - get_edge:query: + MATCH (start:`FEZZIWIG`)-[r]->(end:`THE TWO APPRENTICES`) + RETURN properties(r) as edge_properties + LIMIT 1 + :result:{'keywords': '"gratitude, mentorship"', 'weight': 8.0, 'description': '"Fezziwig inspires deep gratitude and respect from his apprentices, who appreciate his kindness during their interactions at the ball."', 'source_id': 'chunk-b2f98bc7abb0c67d4c86055c7fd72218'} +2024-10-30 06:47:20,400 - lightrag - INFO - _check_node_exists:query:MATCH (n:`FEZZIWIG`) RETURN count(n) > 0 AS node_exists:result:True +2024-10-30 06:47:20,573 - lightrag - INFO - _check_node_exists:query:MATCH (n:`THE TWO APPRENTICES`) RETURN count(n) > 0 AS node_exists:result:True +2024-10-30 06:47:20,759 - lightrag - INFO - _do_upsert_edge:query: + MATCH (source:`FEZZIWIG`) + WITH source + MATCH (target:`THE TWO APPRENTICES`) + MERGE (source)-[r:DIRECTED]->(target) + SET r += $properties RETURN r - :result:, ) type='DIRECTED' properties={'keywords': '"generosity, kindness"', 'description': '"Scrooge interacts with The Boy to deliver the turkey, showing a newfound generosity and connection to others."', 'weight': 8.0, 'source_id': 'chunk-8f738cb25d60a7dab782162d9d0a25ed'}> -2024-10-29 15:29:37,279 - lightrag - INFO - get_edge:query: - MATCH (source:`SCROOGE`)-[r]-(target:`THE GHOST OF CHRISTMAS FUTURE`) + :result:None +2024-10-30 06:47:20,937 - lightrag - INFO - _check_edge_existence:query:MATCH (a:`SCROOGE`)-[r]-(b:`THE GOLDEN IDOL`) RETURN COUNT(r) > 0 AS edgeExists:result:True +2024-10-30 06:47:21,071 - lightrag - INFO - get_edge:query: + MATCH (start:`SCROOGE`)-[r]->(end:`THE GOLDEN IDOL`) + RETURN properties(r) as edge_properties + LIMIT 1 + :result:{'keywords': '"materialism, lost connections"', 'weight': 10.0, 'description': '"The Golden Idol represents the materialistic pursuits that have displaced meaningful connections in Scrooge\'s life."', 'source_id': 'chunk-b2f98bc7abb0c67d4c86055c7fd72218'} +2024-10-30 06:47:21,185 - lightrag - INFO - _check_node_exists:query:MATCH (n:`SCROOGE`) RETURN count(n) > 0 AS node_exists:result:True +2024-10-30 06:47:21,352 - lightrag - INFO - _check_node_exists:query:MATCH (n:`THE GOLDEN IDOL`) RETURN count(n) > 0 AS node_exists:result:True +2024-10-30 06:47:21,532 - lightrag - INFO - _do_upsert_edge:query: + MATCH (source:`SCROOGE`) + WITH source + MATCH (target:`THE GOLDEN IDOL`) + MERGE (source)-[r:DIRECTED]->(target) + SET r += $properties RETURN r - :result:, ) type='DIRECTED' properties={'keywords': '"consequences, transformation"', 'description': '"The Ghost of Christmas Future reveals the dire consequences of Scrooge\'s current behavior, prompting a desire for change."', 'weight': 8.0, 'source_id': 'chunk-90b95db5c53e4364a6bee36b7aa4d70f'}> -2024-10-29 15:29:37,371 - lightrag - INFO - get_edge:query: - MATCH (source:`SCROOGE`)-[r]-(target:`THE SCHOOLMASTER`) + :result:None +2024-10-30 06:47:21,716 - lightrag - INFO - _check_edge_existence:query:MATCH (a:`SCROOGE`)-[r]-(b:`THE MOURNING DRESS`) RETURN COUNT(r) > 0 AS edgeExists:result:True +2024-10-30 06:47:21,851 - lightrag - INFO - get_edge:query: + MATCH (start:`SCROOGE`)-[r]->(end:`THE MOURNING DRESS`) + RETURN properties(r) as edge_properties + LIMIT 1 + :result:{'keywords': '"loss, emotional distance"', 'weight': 8.0, 'description': '"The Mourning Dress symbolizes Scrooge\'s unfulfilled relationships and the emotional consequences of his choices."', 'source_id': 'chunk-b2f98bc7abb0c67d4c86055c7fd72218'} +2024-10-30 06:47:21,967 - lightrag - INFO - _check_node_exists:query:MATCH (n:`SCROOGE`) RETURN count(n) > 0 AS node_exists:result:True +2024-10-30 06:47:22,134 - lightrag - INFO - _check_node_exists:query:MATCH (n:`THE MOURNING DRESS`) RETURN count(n) > 0 AS node_exists:result:True +2024-10-30 06:47:22,313 - lightrag - INFO - _do_upsert_edge:query: + MATCH (source:`SCROOGE`) + WITH source + MATCH (target:`THE MOURNING DRESS`) + MERGE (source)-[r:DIRECTED]->(target) + SET r += $properties RETURN r - :result:, ) type='DIRECTED' properties={'keywords': '"authority, discipline"', 'description': '"The Schoolmaster represents authority and discipline in Scrooge\'s early life, influencing his development."', 'weight': 6.0, 'source_id': 'chunk-c6c248858d1b13ab7ee9ca13c1aeed6b'}> -2024-10-29 15:29:37,467 - lightrag - INFO - get_edge:query: - MATCH (source:`CHILDREN`)-[r]-(target:`SPIRIT`) + :result:None +2024-10-30 06:47:22,493 - lightrag - INFO - _check_edge_existence:query:MATCH (a:`SCROOGE`)-[r]-(b:`THE PRIME OF LIFE`) RETURN COUNT(r) > 0 AS edgeExists:result:True +2024-10-30 06:47:22,628 - lightrag - INFO - get_edge:query: + MATCH (start:`SCROOGE`)-[r]->(end:`THE PRIME OF LIFE`) + RETURN properties(r) as edge_properties + LIMIT 1 + :result:{'keywords': '"reflection, life choices"', 'weight': 9.0, 'description': '"Scrooge reflects on his Prime of Life, contrasting it with his current state and the sacrifices he has made for wealth."', 'source_id': 'chunk-b2f98bc7abb0c67d4c86055c7fd72218'} +2024-10-30 06:47:22,749 - lightrag - INFO - _check_node_exists:query:MATCH (n:`SCROOGE`) RETURN count(n) > 0 AS node_exists:result:True +2024-10-30 06:47:22,912 - lightrag - INFO - _check_node_exists:query:MATCH (n:`THE PRIME OF LIFE`) RETURN count(n) > 0 AS node_exists:result:True +2024-10-30 06:47:23,095 - lightrag - INFO - _do_upsert_edge:query: + MATCH (source:`SCROOGE`) + WITH source + MATCH (target:`THE PRIME OF LIFE`) + MERGE (source)-[r:DIRECTED]->(target) + SET r += $properties RETURN r - :result:, ) type='DIRECTED' properties={'keywords': '"social issues, innocence"', 'description': '"The Spirit introduces Scrooge to the Children as representations of societal neglect, urging recognition and action."', 'weight': 9.0, 'source_id': 'chunk-e7637ff18c5ded77a68cce0a87883fad'}> -2024-10-29 15:29:37,562 - lightrag - INFO - get_edge:query: - MATCH (source:`SCROOGE`)-[r]-(target:`THE BED`) + :result:None +2024-10-30 06:47:23,270 - lightrag - INFO - _check_edge_existence:query:MATCH (a:`SCROOGE`)-[r]-(b:`THE BEAUTIFUL YOUNG GIRL`) RETURN COUNT(r) > 0 AS edgeExists:result:True +2024-10-30 06:47:23,404 - lightrag - INFO - get_edge:query: + MATCH (start:`SCROOGE`)-[r]->(end:`THE BEAUTIFUL YOUNG GIRL`) + RETURN properties(r) as edge_properties + LIMIT 1 + :result:{'keywords': '"nostalgia, lost love"', 'weight': 8.0, 'description': '"Scrooge reflects on his past relationship with the young girl, which holds significance in understanding his character\'s regrets."', 'source_id': 'chunk-54bdd22db1f84a965b5f4c06c9216d8d'} +2024-10-30 06:47:23,523 - lightrag - INFO - _check_node_exists:query:MATCH (n:`SCROOGE`) RETURN count(n) > 0 AS node_exists:result:True +2024-10-30 06:47:23,688 - lightrag - INFO - _check_node_exists:query:MATCH (n:`THE BEAUTIFUL YOUNG GIRL`) RETURN count(n) > 0 AS node_exists:result:True +2024-10-30 06:47:23,864 - lightrag - INFO - _do_upsert_edge:query: + MATCH (source:`SCROOGE`) + WITH source + MATCH (target:`THE BEAUTIFUL YOUNG GIRL`) + MERGE (source)-[r:DIRECTED]->(target) + SET r += $properties RETURN r - :result:, ) type='DIRECTED' properties={'keywords': '"contemplation, mortality"', 'description': '"Scrooge observes The Bed where The Deceased lies, prompting profound thoughts on mortality and regret."', 'weight': 9.0, 'source_id': 'chunk-e1f29eeadc1d8ab46dc8a0bbd3c56b64'}> -2024-10-29 15:29:37,660 - lightrag - INFO - get_edge:query: - MATCH (source:`CHRISTMAS`)-[r]-(target:`GEESE`) + :result:None +2024-10-30 06:47:24,037 - lightrag - INFO - _check_edge_existence:query:MATCH (a:`THE BEAUTIFUL YOUNG GIRL`)-[r]-(b:`THE COMELY MATRON`) RETURN COUNT(r) > 0 AS edgeExists:result:True +2024-10-30 06:47:24,168 - lightrag - INFO - get_edge:query: + MATCH (start:`THE BEAUTIFUL YOUNG GIRL`)-[r]->(end:`THE COMELY MATRON`) + RETURN properties(r) as edge_properties + LIMIT 1 + :result:{'keywords': '"change, passage of time"', 'weight': 7.0, 'description': '"The Beautiful Young Girl evolves into The Comely Matron, representing the effects of time and choices made."', 'source_id': 'chunk-54bdd22db1f84a965b5f4c06c9216d8d'} +2024-10-30 06:47:24,304 - lightrag - INFO - _check_node_exists:query:MATCH (n:`THE BEAUTIFUL YOUNG GIRL`) RETURN count(n) > 0 AS node_exists:result:True +2024-10-30 06:47:24,481 - lightrag - INFO - _check_node_exists:query:MATCH (n:`THE COMELY MATRON`) RETURN count(n) > 0 AS node_exists:result:True +2024-10-30 06:47:24,654 - lightrag - INFO - _do_upsert_edge:query: + MATCH (source:`THE BEAUTIFUL YOUNG GIRL`) + WITH source + MATCH (target:`THE COMELY MATRON`) + MERGE (source)-[r:DIRECTED]->(target) + SET r += $properties RETURN r - :result:, ) type='DIRECTED' properties={'keywords': '"culinary tradition, celebration"', 'description': '"Geese are commonly served at Christmas dinners, forming part of the holiday feast."', 'weight': 9.0, 'source_id': 'chunk-99b0ec7f7e006561352b5d65e849611d'}> -2024-10-29 15:29:37,756 - lightrag - INFO - get_edge:query: - MATCH (source:`BAD REPUTE`)-[r]-(target:`SCROOGE`) + :result:None +2024-10-30 06:47:24,835 - lightrag - INFO - _check_edge_existence:query:MATCH (a:`THE CHILDREN`)-[r]-(b:`THE COMELY MATRON`) RETURN COUNT(r) > 0 AS edgeExists:result:True +2024-10-30 06:47:24,966 - lightrag - INFO - get_edge:query: + MATCH (start:`THE CHILDREN`)-[r]->(end:`THE COMELY MATRON`) + RETURN properties(r) as edge_properties + LIMIT 1 + :result:{'keywords': '"family bonds, joy"', 'weight': 8.0, 'description': '"The Comely Matron fosters a lively environment with The Children, highlighting familial love and joy."', 'source_id': 'chunk-54bdd22db1f84a965b5f4c06c9216d8d'} +2024-10-30 06:47:25,097 - lightrag - INFO - _check_node_exists:query:MATCH (n:`THE CHILDREN`) RETURN count(n) > 0 AS node_exists:result:True +2024-10-30 06:47:25,255 - lightrag - INFO - _check_node_exists:query:MATCH (n:`THE COMELY MATRON`) RETURN count(n) > 0 AS node_exists:result:True +2024-10-30 06:47:25,433 - lightrag - INFO - _do_upsert_edge:query: + MATCH (source:`THE CHILDREN`) + WITH source + MATCH (target:`THE COMELY MATRON`) + MERGE (source)-[r:DIRECTED]->(target) + SET r += $properties RETURN r - :result:, ) type='DIRECTED' properties={'keywords': '"self-reflection, moral awakening"', 'description': '"Scrooge\'s experience in areas of Bad Repute forces him to confront the realities of society and his own role within it."', 'weight': 9.0, 'source_id': 'chunk-f1a4fbcf1ed86864b9bfd5e8dba4c683'}> -2024-10-29 15:29:37,853 - lightrag - INFO - get_edge:query: - MATCH (source:`CRATCHIT FAMILY`)-[r]-(target:`DEATH`) + :result:None +2024-10-30 06:47:25,607 - lightrag - INFO - _check_edge_existence:query:MATCH (a:`THE CHILDREN`)-[r]-(b:`THE FATHER`) RETURN COUNT(r) > 0 AS edgeExists:result:True +2024-10-30 06:47:25,741 - lightrag - INFO - get_edge:query: + MATCH (start:`THE CHILDREN`)-[r]->(end:`THE FATHER`) + RETURN properties(r) as edge_properties + LIMIT 1 + :result:{'keywords': '"familial joy, celebration"', 'weight': 8.0, 'description': '"The Father engages with the children, highlighting familial bonds and the excitement of Christmas celebrations."', 'source_id': 'chunk-da2472b4ef2a535b62908f14d0fb0ca9'} +2024-10-30 06:47:25,875 - lightrag - INFO - _check_node_exists:query:MATCH (n:`THE CHILDREN`) RETURN count(n) > 0 AS node_exists:result:True +2024-10-30 06:47:26,044 - lightrag - INFO - _check_node_exists:query:MATCH (n:`THE FATHER`) RETURN count(n) > 0 AS node_exists:result:True +2024-10-30 06:47:26,219 - lightrag - INFO - _do_upsert_edge:query: + MATCH (source:`THE CHILDREN`) + WITH source + MATCH (target:`THE FATHER`) + MERGE (source)-[r:DIRECTED]->(target) + SET r += $properties RETURN r - :result:, ) type='DIRECTED' properties={'keywords': '"grief, family dynamics"', 'description': '"The death event impacts the Cratchit family deeply, influencing their emotional state and perceptions of hope and kindness."', 'weight': 8.0, 'source_id': 'chunk-83ac129dc9b56f84c46760d153d68e93'}> -2024-10-29 15:29:37,947 - lightrag - INFO - get_edge:query: - MATCH (source:`SCROOGE`)-[r]-(target:`THE GENTLEMAN`) + :result:None +2024-10-30 06:47:26,394 - lightrag - INFO - _check_edge_existence:query:MATCH (a:`SCROOGE`)-[r]-(b:`THE DOWERLESS GIRL`) RETURN COUNT(r) > 0 AS edgeExists:result:True +2024-10-30 06:47:26,536 - lightrag - INFO - get_edge:query: + MATCH (start:`SCROOGE`)-[r]->(end:`THE DOWERLESS GIRL`) + RETURN properties(r) as edge_properties + LIMIT 1 + :result:{'keywords': '"social constraints, regret"', 'weight': 6.0, 'description': '"Scrooge\'s reflections on the dowerless girl highlight the social constraints influencing his choices and feelings of regret."', 'source_id': 'chunk-54bdd22db1f84a965b5f4c06c9216d8d'} +2024-10-30 06:47:26,656 - lightrag - INFO - _check_node_exists:query:MATCH (n:`SCROOGE`) RETURN count(n) > 0 AS node_exists:result:True +2024-10-30 06:47:26,827 - lightrag - INFO - _check_node_exists:query:MATCH (n:`THE DOWERLESS GIRL`) RETURN count(n) > 0 AS node_exists:result:True +2024-10-30 06:47:27,005 - lightrag - INFO - _do_upsert_edge:query: + MATCH (source:`SCROOGE`) + WITH source + MATCH (target:`THE DOWERLESS GIRL`) + MERGE (source)-[r:DIRECTED]->(target) + SET r += $properties RETURN r - :result:, ) type='DIRECTED' properties={'keywords': '"charity, conflict of values"', 'description': '"Scrooge and The Gentleman have opposing views on charity and helping the poor during Christmas, showing a stark contrast in values."', 'weight': 8.0, 'source_id': 'chunk-90d5764e301321c087f5a8f78b73a145'}> -2024-10-29 15:29:38,049 - lightrag - INFO - get_edge:query: - MATCH (source:`SCROOGE`)-[r]-(target:`THE GHOST`) + :result:None +2024-10-30 06:47:27,216 - lightrag - INFO - _check_edge_existence:query:MATCH (a:`SCROOGE`)-[r]-(b:`THE MEMORY`) RETURN COUNT(r) > 0 AS edgeExists:result:True +2024-10-30 06:47:27,347 - lightrag - INFO - get_edge:query: + MATCH (start:`SCROOGE`)-[r]->(end:`THE MEMORY`) + RETURN properties(r) as edge_properties + LIMIT 1 + :result:{'keywords': '"reflection, impact of past"', 'weight': 8.0, 'description': '"Scrooge\'s memories play a crucial role in shaping his perspective on love and happiness as he confronts his past."', 'source_id': 'chunk-54bdd22db1f84a965b5f4c06c9216d8d'} +2024-10-30 06:47:27,469 - lightrag - INFO - _check_node_exists:query:MATCH (n:`SCROOGE`) RETURN count(n) > 0 AS node_exists:result:True +2024-10-30 06:47:27,638 - lightrag - INFO - _check_node_exists:query:MATCH (n:`THE MEMORY`) RETURN count(n) > 0 AS node_exists:result:True +2024-10-30 06:47:27,821 - lightrag - INFO - _do_upsert_edge:query: + MATCH (source:`SCROOGE`) + WITH source + MATCH (target:`THE MEMORY`) + MERGE (source)-[r:DIRECTED]->(target) + SET r += $properties RETURN r - :result:, ) type='DIRECTED' properties={'keywords': '"guidance, transformation""memory, influence""reflection, guidance""self-reflection, transformation"', 'description': '"Scrooge\'s engagement with The Ghost prompts a significant emotional and psychological transformation as he confronts his past.""The Ghost guides Scrooge through visions of his past, forcing him to confront his choices and their consequences.""The Ghost influences Scrooge\'s reflections on his past and his current emotions regarding Christmas festivities.""The Ghost serves as a catalyst for Scrooge\'s reflections, guiding him to confront his past and feelings about Christmas."', 'weight': 35.0, 'source_id': 'chunk-da2472b4ef2a535b62908f14d0fb0ca9chunk-43c9bee23adfa77aa9dedd22401bba7dchunk-54bdd22db1f84a965b5f4c06c9216d8dchunk-8590d9263cd2cd4fa583c432fc54e6c3'}> -2024-10-29 15:29:38,140 - lightrag - INFO - get_edge:query: - MATCH (source:`SCROOGE`)-[r]-(target:`THE DRESSING-GOWN`) + :result:None +2024-10-30 06:47:27,999 - lightrag - INFO - _check_edge_existence:query:MATCH (a:`THE FATHER`)-[r]-(b:`THE WINTER FIRE`) RETURN COUNT(r) > 0 AS edgeExists:result:True +2024-10-30 06:47:28,164 - lightrag - INFO - get_edge:query: + MATCH (start:`THE FATHER`)-[r]->(end:`THE WINTER FIRE`) + RETURN properties(r) as edge_properties + LIMIT 1 + :result:{'keywords': '"family reunion, warmth"', 'weight': 9.0, 'description': '"The Father\'s return to The Winter Fire represents the reunion of family and the warmth of home during the holiday season."', 'source_id': 'chunk-54bdd22db1f84a965b5f4c06c9216d8d'} +2024-10-30 06:47:28,293 - lightrag - INFO - _check_node_exists:query:MATCH (n:`THE FATHER`) RETURN count(n) > 0 AS node_exists:result:True +2024-10-30 06:47:28,461 - lightrag - INFO - _check_node_exists:query:MATCH (n:`THE WINTER FIRE`) RETURN count(n) > 0 AS node_exists:result:True +2024-10-30 06:47:28,638 - lightrag - INFO - _do_upsert_edge:query: + MATCH (source:`THE FATHER`) + WITH source + MATCH (target:`THE WINTER FIRE`) + MERGE (source)-[r:DIRECTED]->(target) + SET r += $properties RETURN r - :result:, ) type='DIRECTED' properties={'keywords': '"characterization, solitude"', 'description': '"The Dressing-Gown emphasizes Scrooge\'s character as a solitary, reclusive man, reinforcing his isolation during the haunting."', 'weight': 7.0, 'source_id': 'chunk-9c43dac2fcd5b578242d907ea6f8fc7b'}> -2024-10-29 15:29:38,232 - lightrag - INFO - get_edge:query: - MATCH (source:`CHRISTMAS`)-[r]-(target:`SPANISH ONIONS`) + :result:None +2024-10-30 06:47:28,814 - lightrag - INFO - _check_edge_existence:query:MATCH (a:`HAPPINESS`)-[r]-(b:`THE BEAUTIFUL YOUNG GIRL`) RETURN COUNT(r) > 0 AS edgeExists:result:True +2024-10-30 06:47:28,947 - lightrag - INFO - get_edge:query: + MATCH (start:`HAPPINESS`)-[r]->(end:`THE BEAUTIFUL YOUNG GIRL`) + RETURN properties(r) as edge_properties + LIMIT 1 + :result:{'keywords': '"lost happiness, longing"', 'weight': 7.0, 'description': '"The Beautiful Young Girl embodies the happiness that Scrooge once sought and now feels he has lost."', 'source_id': 'chunk-54bdd22db1f84a965b5f4c06c9216d8d'} +2024-10-30 06:47:29,076 - lightrag - INFO - _check_node_exists:query:MATCH (n:`HAPPINESS`) RETURN count(n) > 0 AS node_exists:result:True +2024-10-30 06:47:29,243 - lightrag - INFO - _check_node_exists:query:MATCH (n:`THE BEAUTIFUL YOUNG GIRL`) RETURN count(n) > 0 AS node_exists:result:True +2024-10-30 06:47:29,425 - lightrag - INFO - _do_upsert_edge:query: + MATCH (source:`HAPPINESS`) + WITH source + MATCH (target:`THE BEAUTIFUL YOUNG GIRL`) + MERGE (source)-[r:DIRECTED]->(target) + SET r += $properties RETURN r - :result:, ) type='DIRECTED' properties={'keywords': '"culinary tradition, seasonal offerings"', 'description': '"Spanish Onions are part of the seasonal offerings that contribute to the culinary landscape of Christmas."', 'weight': 7.0, 'source_id': 'chunk-99b0ec7f7e006561352b5d65e849611d'}> -2024-10-29 15:29:38,325 - lightrag - INFO - get_edge:query: - MATCH (source:`SCROOGE`)-[r]-(target:`THE BELL`) + :result:None +2024-10-30 06:47:29,601 - lightrag - INFO - _check_edge_existence:query:MATCH (a:`HOPE`)-[r]-(b:`THE COMELY MATRON`) RETURN COUNT(r) > 0 AS edgeExists:result:True +2024-10-30 06:47:29,738 - lightrag - INFO - get_edge:query: + MATCH (start:`HOPE`)-[r]->(end:`THE COMELY MATRON`) + RETURN properties(r) as edge_properties + LIMIT 1 + :result:{'keywords': '"hope, family love"', 'weight': 8.0, 'description': '"The Comely Matron represents the hope for a joyful and fulfilling family life, enhancing the themes of love and connection."', 'source_id': 'chunk-54bdd22db1f84a965b5f4c06c9216d8d'} +2024-10-30 06:47:29,872 - lightrag - INFO - _check_node_exists:query:MATCH (n:`HOPE`) RETURN count(n) > 0 AS node_exists:result:True +2024-10-30 06:47:30,030 - lightrag - INFO - _check_node_exists:query:MATCH (n:`THE COMELY MATRON`) RETURN count(n) > 0 AS node_exists:result:True +2024-10-30 06:47:30,205 - lightrag - INFO - _do_upsert_edge:query: + MATCH (source:`HOPE`) + WITH source + MATCH (target:`THE COMELY MATRON`) + MERGE (source)-[r:DIRECTED]->(target) + SET r += $properties RETURN r - :result:, ) type='DIRECTED' properties={'keywords': '"foreboding, supernatural"', 'description': '"The Bell\'s movement and sound foreshadow Marley\'s Ghost\'s appearance, enhancing the sense of impending supernatural activity in Scrooge\'s environment."', 'weight': 8.0, 'source_id': 'chunk-9c43dac2fcd5b578242d907ea6f8fc7b'}> -2024-10-29 15:29:38,423 - lightrag - INFO - get_edge:query: - MATCH (source:`CHRISTMAS`)-[r]-(target:`CHRISTMAS EVE`) + :result:None +2024-10-30 06:47:30,382 - lightrag - INFO - _check_edge_existence:query:MATCH (a:`THE COMELY MATRON`)-[r]-(b:`THE YOUNG BRIGANDS`) RETURN COUNT(r) > 0 AS edgeExists:result:True +2024-10-30 06:47:30,514 - lightrag - INFO - get_edge:query: + MATCH (start:`THE COMELY MATRON`)-[r]->(end:`THE YOUNG BRIGANDS`) + RETURN properties(r) as edge_properties + LIMIT 1 + :result:{'keywords': '"chaos, joy of childhood"', 'weight': 7.0, 'description': '"The Comely Matron encourages the Young Brigands\' playfulness, highlighting the joy and chaos of family life."', 'source_id': 'chunk-54bdd22db1f84a965b5f4c06c9216d8d'} +2024-10-30 06:47:30,635 - lightrag - INFO - _check_node_exists:query:MATCH (n:`THE COMELY MATRON`) RETURN count(n) > 0 AS node_exists:result:True +2024-10-30 06:47:30,805 - lightrag - INFO - _check_node_exists:query:MATCH (n:`THE YOUNG BRIGANDS`) RETURN count(n) > 0 AS node_exists:result:True +2024-10-30 06:47:30,980 - lightrag - INFO - _do_upsert_edge:query: + MATCH (source:`THE COMELY MATRON`) + WITH source + MATCH (target:`THE YOUNG BRIGANDS`) + MERGE (source)-[r:DIRECTED]->(target) + SET r += $properties RETURN r - :result:, ) type='DIRECTED' properties={'keywords': '"holiday significance, festive anticipation"', 'description': '"Christmas Eve sets the stage for the events leading to Christmas, amplifying the significance of the holiday in Scrooge\'s transformation."', 'weight': 8.0, 'source_id': 'chunk-74e2466de2f67fd710ef2f20c0a8d9e0'}> -2024-10-29 15:29:38,519 - lightrag - INFO - get_edge:query: - MATCH (source:`SCROOGE`)-[r]-(target:`THE GIRL`) + :result:None +2024-10-30 06:47:31,155 - lightrag - INFO - _check_edge_existence:query:MATCH (a:`BELLE`)-[r]-(b:`SCROOGE`) RETURN COUNT(r) > 0 AS edgeExists:result:True +2024-10-30 06:47:31,280 - lightrag - INFO - get_edge:query: + MATCH (start:`BELLE`)-[r]->(end:`SCROOGE`) + RETURN properties(r) as edge_properties + LIMIT 1 + :result:{'keywords': '"lost love, regret"', 'weight': 8.0, 'description': '"Scrooge reflects on his lost relationship with Belle, highlighting his feelings of regret and emotional pain."', 'source_id': 'chunk-da2472b4ef2a535b62908f14d0fb0ca9'} +2024-10-30 06:47:31,412 - lightrag - INFO - _check_node_exists:query:MATCH (n:`BELLE`) RETURN count(n) > 0 AS node_exists:result:True +2024-10-30 06:47:31,569 - lightrag - INFO - _check_node_exists:query:MATCH (n:`SCROOGE`) RETURN count(n) > 0 AS node_exists:result:True +2024-10-30 06:47:31,751 - lightrag - INFO - _do_upsert_edge:query: + MATCH (source:`BELLE`) + WITH source + MATCH (target:`SCROOGE`) + MERGE (source)-[r:DIRECTED]->(target) + SET r += $properties RETURN r - :result:, ) type='DIRECTED' properties={'keywords': '"family ties, kindness"', 'description': '"Scrooge\'s pleasant interaction with The Girl at Fred\'s house shows his desire for family connection and warmth."', 'weight': 8.0, 'source_id': 'chunk-8f738cb25d60a7dab782162d9d0a25ed'}> -2024-10-29 15:29:38,616 - lightrag - INFO - get_edge:query: - MATCH (source:`A CHRISTMAS CAROL`)-[r]-(target:`PROJECT GUTENBERG`) + :result:None +2024-10-30 06:47:31,939 - lightrag - INFO - _check_edge_existence:query:MATCH (a:`CHRISTMAS`)-[r]-(b:`THE SPIRIT`) RETURN COUNT(r) > 0 AS edgeExists:result:True +2024-10-30 06:47:32,075 - lightrag - INFO - get_edge:query: + MATCH (start:`CHRISTMAS`)-[r]->(end:`THE SPIRIT`) + RETURN properties(r) as edge_properties + LIMIT 1 + :result:{'keywords': '"holiday spirit, compassion""seasonal influence, moral reflection"', 'weight': 17.0, 'description': '"The Spirit connects various scenes to the theme of Christmas, emphasizing its impact on individuals’ attitudes and behaviors.""The Spirit\'s appearances highlight the themes of Christmas and the importance of compassion and community."', 'source_id': 'chunk-91614df5cb74cbe5e109a338a82041e9chunk-da2472b4ef2a535b62908f14d0fb0ca9'} +2024-10-30 06:47:32,195 - lightrag - INFO - _check_node_exists:query:MATCH (n:`CHRISTMAS`) RETURN count(n) > 0 AS node_exists:result:True +2024-10-30 06:47:32,363 - lightrag - INFO - _check_node_exists:query:MATCH (n:`THE SPIRIT`) RETURN count(n) > 0 AS node_exists:result:True +2024-10-30 06:47:32,545 - lightrag - INFO - _do_upsert_edge:query: + MATCH (source:`CHRISTMAS`) + WITH source + MATCH (target:`THE SPIRIT`) + MERGE (source)-[r:DIRECTED]->(target) + SET r += $properties RETURN r - :result:, ) type='DIRECTED' properties={'keywords': '"publication, accessibility"', 'description': '"A Christmas Carol is published and distributed freely through Project Gutenberg, making it accessible to a global audience."', 'weight': 9.0, 'source_id': 'chunk-9e3921da66da5d761ab73cd849af6c43'}> -2024-10-29 15:29:38,718 - lightrag - INFO - get_edge:query: - MATCH (source:`POVERTY`)-[r]-(target:`WEALTH`) + :result:None +2024-10-30 06:47:32,723 - lightrag - INFO - _check_edge_existence:query:MATCH (a:`SCROOGE`)-[r]-(b:`THE OFFICE`) RETURN COUNT(r) > 0 AS edgeExists:result:True +2024-10-30 06:47:32,855 - lightrag - INFO - get_edge:query: + MATCH (start:`SCROOGE`)-[r]->(end:`THE OFFICE`) + RETURN properties(r) as edge_properties + LIMIT 1 + :result:{'keywords': '"isolation, work ethic"', 'weight': 6.0, 'description': '"Scrooge\'s office reflects his solitary and business-driven life, showcasing his disconnection from familial and social ties."', 'source_id': 'chunk-da2472b4ef2a535b62908f14d0fb0ca9'} +2024-10-30 06:47:32,971 - lightrag - INFO - _check_node_exists:query:MATCH (n:`SCROOGE`) RETURN count(n) > 0 AS node_exists:result:True +2024-10-30 06:47:33,142 - lightrag - INFO - _check_node_exists:query:MATCH (n:`THE OFFICE`) RETURN count(n) > 0 AS node_exists:result:True +2024-10-30 06:47:33,319 - lightrag - INFO - _do_upsert_edge:query: + MATCH (source:`SCROOGE`) + WITH source + MATCH (target:`THE OFFICE`) + MERGE (source)-[r:DIRECTED]->(target) + SET r += $properties RETURN r - :result:, ) type='DIRECTED' properties={'keywords': '"contrast, societal norms"', 'description': '"Wealth is juxtaposed against poverty, emphasizing the harsh realities faced by those consumed by the pursuit of money."', 'weight': 7.0, 'source_id': 'chunk-b2f98bc7abb0c67d4c86055c7fd72218'}> -2024-10-29 15:29:38,812 - lightrag - INFO - get_edge:query: - MATCH (source:`MULTITUDES`)-[r]-(target:`SCROOGE`) + :result:None +2024-10-30 06:47:33,494 - lightrag - INFO - _check_edge_existence:query:MATCH (a:`THE FATHER`)-[r]-(b:`THE MOTHER`) RETURN COUNT(r) > 0 AS edgeExists:result:True +2024-10-30 06:47:33,628 - lightrag - INFO - get_edge:query: + MATCH (start:`THE FATHER`)-[r]->(end:`THE MOTHER`) + RETURN properties(r) as edge_properties + LIMIT 1 + :result:{'keywords': '"family dynamics, togetherness"', 'weight': 6.0, 'description': '"The Mother and Father are depicted together, emphasizing family dynamics during the festive occasion."', 'source_id': 'chunk-da2472b4ef2a535b62908f14d0fb0ca9'} +2024-10-30 06:47:33,754 - lightrag - INFO - _check_node_exists:query:MATCH (n:`THE FATHER`) RETURN count(n) > 0 AS node_exists:result:True +2024-10-30 06:47:33,923 - lightrag - INFO - _check_node_exists:query:MATCH (n:`THE MOTHER`) RETURN count(n) > 0 AS node_exists:result:True +2024-10-30 06:47:34,107 - lightrag - INFO - _do_upsert_edge:query: + MATCH (source:`THE FATHER`) + WITH source + MATCH (target:`THE MOTHER`) + MERGE (source)-[r:DIRECTED]->(target) + SET r += $properties RETURN r - :result:, ) type='DIRECTED' properties={'keywords': '"alienation, introspection"', 'description': '"Scrooge\'s feelings of alienation are heightened as he witnesses the Multitudes, illustrating his inner turmoil and societal disconnect."', 'weight': 8.0, 'source_id': 'chunk-f1a4fbcf1ed86864b9bfd5e8dba4c683'}> -2024-10-29 15:29:38,908 - lightrag - INFO - get_edge:query: - MATCH (source:`SCROOGE`)-[r]-(target:`WEALTH`) + :result:None +2024-10-30 06:47:34,280 - lightrag - INFO - _check_edge_existence:query:MATCH (a:`THE BABY`)-[r]-(b:`THE CHILDREN`) RETURN COUNT(r) > 0 AS edgeExists:result:True +2024-10-30 06:47:34,414 - lightrag - INFO - get_edge:query: + MATCH (start:`THE BABY`)-[r]->(end:`THE CHILDREN`) + RETURN properties(r) as edge_properties + LIMIT 1 + :result:{'keywords': '"playfulness, innocence"', 'weight': 6.0, 'description': '"The Children interact with The Baby in a playful manner, illustrating the innocence of youth during Christmas."', 'source_id': 'chunk-da2472b4ef2a535b62908f14d0fb0ca9'} +2024-10-30 06:47:34,542 - lightrag - INFO - _check_node_exists:query:MATCH (n:`THE BABY`) RETURN count(n) > 0 AS node_exists:result:True +2024-10-30 06:47:34,714 - lightrag - INFO - _check_node_exists:query:MATCH (n:`THE CHILDREN`) RETURN count(n) > 0 AS node_exists:result:True +2024-10-30 06:47:34,898 - lightrag - INFO - _do_upsert_edge:query: + MATCH (source:`THE BABY`) + WITH source + MATCH (target:`THE CHILDREN`) + MERGE (source)-[r:DIRECTED]->(target) + SET r += $properties RETURN r - :result:, ) type='DIRECTED' properties={'keywords': '"materialism, character development"', 'description': '"Scrooge confronts the obsession with wealth which has led him away from meaningful connections and happiness."', 'weight': 8.0, 'source_id': 'chunk-b2f98bc7abb0c67d4c86055c7fd72218'}> -2024-10-29 15:29:39,003 - lightrag - INFO - get_edge:query: - MATCH (source:`GHOST OF CHRISTMAS PAST`)-[r]-(target:`THE CITY`) + :result:None +2024-10-30 06:47:35,081 - lightrag - INFO - _check_edge_existence:query:MATCH (a:`THE CHILDREN`)-[r]-(b:`THE PORTER`) RETURN COUNT(r) > 0 AS edgeExists:result:True +2024-10-30 06:47:35,214 - lightrag - INFO - get_edge:query: + MATCH (start:`THE CHILDREN`)-[r]->(end:`THE PORTER`) + RETURN properties(r) as edge_properties + LIMIT 1 + :result:{'keywords': '"playfulness, joy"', 'weight': 9.0, 'description': '"The Children playfully interact with the Porter, creating a scene of joyous chaos and affection."', 'source_id': 'chunk-da2472b4ef2a535b62908f14d0fb0ca9'} +2024-10-30 06:47:35,330 - lightrag - INFO - _check_node_exists:query:MATCH (n:`THE CHILDREN`) RETURN count(n) > 0 AS node_exists:result:True +2024-10-30 06:47:35,497 - lightrag - INFO - _check_node_exists:query:MATCH (n:`THE PORTER`) RETURN count(n) > 0 AS node_exists:result:True +2024-10-30 06:47:35,671 - lightrag - INFO - _do_upsert_edge:query: + MATCH (source:`THE CHILDREN`) + WITH source + MATCH (target:`THE PORTER`) + MERGE (source)-[r:DIRECTED]->(target) + SET r += $properties RETURN r - :result:, ) type='DIRECTED' properties={'keywords': '"transportation, memory"', 'description': '"The Ghost of Christmas Past helps transport Scrooge from The City to a memory of his past, highlighting the contrast between present and memory."', 'weight': 6.0, 'source_id': 'chunk-bb21d58d36c6306fd8810ddd51c4a971'}> -2024-10-29 15:29:39,099 - lightrag - INFO - get_edge:query: - MATCH (source:`SCROOGE`)-[r]-(target:`THE POULTERER'S`) + :result:None +2024-10-30 06:47:35,844 - lightrag - INFO - _check_edge_existence:query:MATCH (a:`THE CHILDREN`)-[r]-(b:`THE MOTHER`) RETURN COUNT(r) > 0 AS edgeExists:result:True +2024-10-30 06:47:35,981 - lightrag - INFO - get_edge:query: + MATCH (start:`THE CHILDREN`)-[r]->(end:`THE MOTHER`) + RETURN properties(r) as edge_properties + LIMIT 1 + :result:{'keywords': '"family care, joy"', 'weight': 7.0, 'description': '"The Mother facilitates the family celebrations, ensuring that her children experience joy during Christmas."', 'source_id': 'chunk-da2472b4ef2a535b62908f14d0fb0ca9'} +2024-10-30 06:47:36,102 - lightrag - INFO - _check_node_exists:query:MATCH (n:`THE CHILDREN`) RETURN count(n) > 0 AS node_exists:result:True +2024-10-30 06:47:36,270 - lightrag - INFO - _check_node_exists:query:MATCH (n:`THE MOTHER`) RETURN count(n) > 0 AS node_exists:result:True +2024-10-30 06:47:36,450 - lightrag - INFO - _do_upsert_edge:query: + MATCH (source:`THE CHILDREN`) + WITH source + MATCH (target:`THE MOTHER`) + MERGE (source)-[r:DIRECTED]->(target) + SET r += $properties RETURN r - :result:, ) type='DIRECTED' properties={'keywords': '"generosity, commerce"', 'description': '"Scrooge interacts with The Poulterer\'s to purchase a turkey as an act of generosity toward Bob Cratchit\'s family."', 'weight': 8.0, 'source_id': 'chunk-90b95db5c53e4364a6bee36b7aa4d70f'}> -2024-10-29 15:29:39,190 - lightrag - INFO - get_edge:query: - MATCH (source:`CLERK`)-[r]-(target:`SCROOGE`) + :result:None +2024-10-30 06:47:36,629 - lightrag - INFO - _check_edge_existence:query:MATCH (a:`HOME`)-[r]-(b:`THE MOTHER`) RETURN COUNT(r) > 0 AS edgeExists:result:True +2024-10-30 06:47:36,766 - lightrag - INFO - get_edge:query: + MATCH (start:`HOME`)-[r]->(end:`THE MOTHER`) + RETURN properties(r) as edge_properties + LIMIT 1 + :result:{'keywords': '"family unity, celebration"', 'weight': 9.0, 'description': '"Home is where The Mother organizes the family Christmas celebration, serving as the heart of their togetherness."', 'source_id': 'chunk-da2472b4ef2a535b62908f14d0fb0ca9'} +2024-10-30 06:47:36,896 - lightrag - INFO - _check_node_exists:query:MATCH (n:`HOME`) RETURN count(n) > 0 AS node_exists:result:True +2024-10-30 06:47:37,054 - lightrag - INFO - _check_node_exists:query:MATCH (n:`THE MOTHER`) RETURN count(n) > 0 AS node_exists:result:True +2024-10-30 06:47:37,228 - lightrag - INFO - _do_upsert_edge:query: + MATCH (source:`HOME`) + WITH source + MATCH (target:`THE MOTHER`) + MERGE (source)-[r:DIRECTED]->(target) + SET r += $properties RETURN r - :result:, ) type='DIRECTED' properties={'keywords': '"employment relationship, respect"', 'description': '"The Clerk communicates with Scrooge about his work, highlighting the lack of mutual respect in their employer-employee relationship."', 'weight': 5.0, 'source_id': 'chunk-d9aac3484185ac66045df92214d245d5'}> -2024-10-29 15:29:39,285 - lightrag - INFO - get_edge:query: - MATCH (source:`THE FATHER`)-[r]-(target:`THE MOTHER`) + :result:None +2024-10-30 06:47:37,404 - lightrag - INFO - _check_edge_existence:query:MATCH (a:`GHOST OF CHRISTMAS PRESENT`)-[r]-(b:`HOLLY`) RETURN COUNT(r) > 0 AS edgeExists:result:True +2024-10-30 06:47:37,540 - lightrag - INFO - get_edge:query: + MATCH (start:`GHOST OF CHRISTMAS PRESENT`)-[r]->(end:`HOLLY`) + RETURN properties(r) as edge_properties + LIMIT 1 + :result:{'keywords': '"festive spirit, symbolism"', 'weight': 9.0, 'description': '"Holly is part of the Ghost\'s attire, reinforcing the themes of joy and celebration during Christmas."', 'source_id': 'chunk-843b5b2f944c7413d9ca876e2e2f151f'} +2024-10-30 06:47:37,668 - lightrag - INFO - _check_node_exists:query:MATCH (n:`GHOST OF CHRISTMAS PRESENT`) RETURN count(n) > 0 AS node_exists:result:True +2024-10-30 06:47:37,839 - lightrag - INFO - _check_node_exists:query:MATCH (n:`HOLLY`) RETURN count(n) > 0 AS node_exists:result:True +2024-10-30 06:47:38,018 - lightrag - INFO - _do_upsert_edge:query: + MATCH (source:`GHOST OF CHRISTMAS PRESENT`) + WITH source + MATCH (target:`HOLLY`) + MERGE (source)-[r:DIRECTED]->(target) + SET r += $properties + RETURN r + :result:None +2024-10-30 06:47:38,200 - lightrag - INFO - _check_edge_existence:query:MATCH (a:`GHOST OF CHRISTMAS PRESENT`)-[r]-(b:`MISTLETOE`) RETURN COUNT(r) > 0 AS edgeExists:result:True +2024-10-30 06:47:38,331 - lightrag - INFO - get_edge:query: + MATCH (start:`GHOST OF CHRISTMAS PRESENT`)-[r]->(end:`MISTLETOE`) + RETURN properties(r) as edge_properties + LIMIT 1 + :result:{'keywords': '"tradition, symbolism"', 'weight': 7.0, 'description': '"The Spirit’s presence is enhanced by Mistletoe, a traditional decoration symbolizing love and goodwill."', 'source_id': 'chunk-843b5b2f944c7413d9ca876e2e2f151f'} +2024-10-30 06:47:38,459 - lightrag - INFO - _check_node_exists:query:MATCH (n:`GHOST OF CHRISTMAS PRESENT`) RETURN count(n) > 0 AS node_exists:result:True +2024-10-30 06:47:38,625 - lightrag - INFO - _check_node_exists:query:MATCH (n:`MISTLETOE`) RETURN count(n) > 0 AS node_exists:result:True +2024-10-30 06:47:38,804 - lightrag - INFO - _do_upsert_edge:query: + MATCH (source:`GHOST OF CHRISTMAS PRESENT`) + WITH source + MATCH (target:`MISTLETOE`) + MERGE (source)-[r:DIRECTED]->(target) + SET r += $properties + RETURN r + :result:None +2024-10-30 06:47:38,990 - lightrag - INFO - _check_edge_existence:query:MATCH (a:`GHOST OF CHRISTMAS PRESENT`)-[r]-(b:`RED BERRIES`) RETURN COUNT(r) > 0 AS edgeExists:result:True +2024-10-30 06:47:39,125 - lightrag - INFO - get_edge:query: + MATCH (start:`GHOST OF CHRISTMAS PRESENT`)-[r]->(end:`RED BERRIES`) + RETURN properties(r) as edge_properties + LIMIT 1 + :result:{'keywords': '"festivity, abundance"', 'weight': 7.0, 'description': '"The Ghost is surrounded by Red Berries, reinforcing the imagery of Christmas abundance and decoration."', 'source_id': 'chunk-843b5b2f944c7413d9ca876e2e2f151f'} +2024-10-30 06:47:39,251 - lightrag - INFO - _check_node_exists:query:MATCH (n:`GHOST OF CHRISTMAS PRESENT`) RETURN count(n) > 0 AS node_exists:result:True +2024-10-30 06:47:39,418 - lightrag - INFO - _check_node_exists:query:MATCH (n:`RED BERRIES`) RETURN count(n) > 0 AS node_exists:result:True +2024-10-30 06:47:39,593 - lightrag - INFO - _do_upsert_edge:query: + MATCH (source:`GHOST OF CHRISTMAS PRESENT`) + WITH source + MATCH (target:`RED BERRIES`) + MERGE (source)-[r:DIRECTED]->(target) + SET r += $properties + RETURN r + :result:None +2024-10-30 06:47:39,773 - lightrag - INFO - _check_edge_existence:query:MATCH (a:`GHOST OF CHRISTMAS PRESENT`)-[r]-(b:`TURKEYS`) RETURN COUNT(r) > 0 AS edgeExists:result:True +2024-10-30 06:47:39,910 - lightrag - INFO - get_edge:query: + MATCH (start:`GHOST OF CHRISTMAS PRESENT`)-[r]->(end:`TURKEYS`) + RETURN properties(r) as edge_properties + LIMIT 1 + :result:{'keywords': '"feasting, abundance"', 'weight': 8.0, 'description': '"The Ghost highlights the presence of Turkeys at the feast, emphasizing the spirit of generosity during Christmas."', 'source_id': 'chunk-843b5b2f944c7413d9ca876e2e2f151f'} +2024-10-30 06:47:40,034 - lightrag - INFO - _check_node_exists:query:MATCH (n:`GHOST OF CHRISTMAS PRESENT`) RETURN count(n) > 0 AS node_exists:result:True +2024-10-30 06:47:40,202 - lightrag - INFO - _check_node_exists:query:MATCH (n:`TURKEYS`) RETURN count(n) > 0 AS node_exists:result:True +2024-10-30 06:47:40,379 - lightrag - INFO - _do_upsert_edge:query: + MATCH (source:`GHOST OF CHRISTMAS PRESENT`) + WITH source + MATCH (target:`TURKEYS`) + MERGE (source)-[r:DIRECTED]->(target) + SET r += $properties + RETURN r + :result:None +2024-10-30 06:47:40,552 - lightrag - INFO - _check_edge_existence:query:MATCH (a:`GHOST OF CHRISTMAS PRESENT`)-[r]-(b:`POULTRY`) RETURN COUNT(r) > 0 AS edgeExists:result:True +2024-10-30 06:47:40,683 - lightrag - INFO - get_edge:query: + MATCH (start:`GHOST OF CHRISTMAS PRESENT`)-[r]->(end:`POULTRY`) + RETURN properties(r) as edge_properties + LIMIT 1 + :result:{'keywords': '"feast, tradition"', 'weight': 8.0, 'description': '"The Ghost presents Poultry as part of the Christmas spread, highlighting the traditional meals associated with the holiday."', 'source_id': 'chunk-843b5b2f944c7413d9ca876e2e2f151f'} +2024-10-30 06:47:40,799 - lightrag - INFO - _check_node_exists:query:MATCH (n:`GHOST OF CHRISTMAS PRESENT`) RETURN count(n) > 0 AS node_exists:result:True +2024-10-30 06:47:40,969 - lightrag - INFO - _check_node_exists:query:MATCH (n:`POULTRY`) RETURN count(n) > 0 AS node_exists:result:True +2024-10-30 06:47:41,149 - lightrag - INFO - _do_upsert_edge:query: + MATCH (source:`GHOST OF CHRISTMAS PRESENT`) + WITH source + MATCH (target:`POULTRY`) + MERGE (source)-[r:DIRECTED]->(target) + SET r += $properties + RETURN r + :result:None +2024-10-30 06:47:41,326 - lightrag - INFO - _check_edge_existence:query:MATCH (a:`GHOST OF CHRISTMAS PRESENT`)-[r]-(b:`MEAT`) RETURN COUNT(r) > 0 AS edgeExists:result:True +2024-10-30 06:47:41,467 - lightrag - INFO - get_edge:query: + MATCH (start:`GHOST OF CHRISTMAS PRESENT`)-[r]->(end:`MEAT`) + RETURN properties(r) as edge_properties + LIMIT 1 + :result:{'keywords': '"abundance, generosity"', 'weight': 8.0, 'description': '"The included Meat within the Ghost\'s feast symbolizes abundance and the spirit of generosity during Christmas."', 'source_id': 'chunk-843b5b2f944c7413d9ca876e2e2f151f'} +2024-10-30 06:47:41,584 - lightrag - INFO - _check_node_exists:query:MATCH (n:`GHOST OF CHRISTMAS PRESENT`) RETURN count(n) > 0 AS node_exists:result:True +2024-10-30 06:47:41,753 - lightrag - INFO - _check_node_exists:query:MATCH (n:`MEAT`) RETURN count(n) > 0 AS node_exists:result:True +2024-10-30 06:47:41,930 - lightrag - INFO - _do_upsert_edge:query: + MATCH (source:`GHOST OF CHRISTMAS PRESENT`) + WITH source + MATCH (target:`MEAT`) + MERGE (source)-[r:DIRECTED]->(target) + SET r += $properties + RETURN r + :result:None +2024-10-30 06:47:42,114 - lightrag - INFO - _check_edge_existence:query:MATCH (a:`GHOST OF CHRISTMAS PRESENT`)-[r]-(b:`SAUSAGES`) RETURN COUNT(r) > 0 AS edgeExists:result:True +2024-10-30 06:47:42,247 - lightrag - INFO - get_edge:query: + MATCH (start:`GHOST OF CHRISTMAS PRESENT`)-[r]->(end:`SAUSAGES`) + RETURN properties(r) as edge_properties + LIMIT 1 + :result:{'keywords': '"celebration, abundance"', 'weight': 7.0, 'description': '"Sausages contribute to the lavish spread, symbolizing the abundance of the Christmas feast."', 'source_id': 'chunk-843b5b2f944c7413d9ca876e2e2f151f'} +2024-10-30 06:47:42,367 - lightrag - INFO - _check_node_exists:query:MATCH (n:`GHOST OF CHRISTMAS PRESENT`) RETURN count(n) > 0 AS node_exists:result:True +2024-10-30 06:47:42,533 - lightrag - INFO - _check_node_exists:query:MATCH (n:`SAUSAGES`) RETURN count(n) > 0 AS node_exists:result:True +2024-10-30 06:47:42,714 - lightrag - INFO - _do_upsert_edge:query: + MATCH (source:`GHOST OF CHRISTMAS PRESENT`) + WITH source + MATCH (target:`SAUSAGES`) + MERGE (source)-[r:DIRECTED]->(target) + SET r += $properties + RETURN r + :result:None +2024-10-30 06:47:42,892 - lightrag - INFO - _check_edge_existence:query:MATCH (a:`GHOST OF CHRISTMAS PRESENT`)-[r]-(b:`OYSTERS`) RETURN COUNT(r) > 0 AS edgeExists:result:True +2024-10-30 06:47:43,026 - lightrag - INFO - get_edge:query: + MATCH (start:`GHOST OF CHRISTMAS PRESENT`)-[r]->(end:`OYSTERS`) + RETURN properties(r) as edge_properties + LIMIT 1 + :result:{'keywords': '"luxury, celebration"', 'weight': 8.0, 'description': '"The inclusion of Oysters in the Christmas feast illustrates the luxury and indulgence during festive celebrations."', 'source_id': 'chunk-843b5b2f944c7413d9ca876e2e2f151f'} +2024-10-30 06:47:43,141 - lightrag - INFO - _check_node_exists:query:MATCH (n:`GHOST OF CHRISTMAS PRESENT`) RETURN count(n) > 0 AS node_exists:result:True +2024-10-30 06:47:43,306 - lightrag - INFO - _check_node_exists:query:MATCH (n:`OYSTERS`) RETURN count(n) > 0 AS node_exists:result:True +2024-10-30 06:47:43,481 - lightrag - INFO - _do_upsert_edge:query: + MATCH (source:`GHOST OF CHRISTMAS PRESENT`) + WITH source + MATCH (target:`OYSTERS`) + MERGE (source)-[r:DIRECTED]->(target) + SET r += $properties + RETURN r + :result:None +2024-10-30 06:47:43,650 - lightrag - INFO - _check_edge_existence:query:MATCH (a:`GHOST OF CHRISTMAS PRESENT`)-[r]-(b:`PIES`) RETURN COUNT(r) > 0 AS edgeExists:result:True +2024-10-30 06:47:43,781 - lightrag - INFO - get_edge:query: + MATCH (start:`GHOST OF CHRISTMAS PRESENT`)-[r]->(end:`PIES`) + RETURN properties(r) as edge_properties + LIMIT 1 + :result:{'keywords': '"tradition, dessert"', 'weight': 8.0, 'description': '"Pies presented by the Ghost highlight the traditions of holiday desserts shared among families."', 'source_id': 'chunk-843b5b2f944c7413d9ca876e2e2f151f'} +2024-10-30 06:47:43,902 - lightrag - INFO - _check_node_exists:query:MATCH (n:`GHOST OF CHRISTMAS PRESENT`) RETURN count(n) > 0 AS node_exists:result:True +2024-10-30 06:47:44,072 - lightrag - INFO - _check_node_exists:query:MATCH (n:`PIES`) RETURN count(n) > 0 AS node_exists:result:True +2024-10-30 06:47:44,252 - lightrag - INFO - _do_upsert_edge:query: + MATCH (source:`GHOST OF CHRISTMAS PRESENT`) + WITH source + MATCH (target:`PIES`) + MERGE (source)-[r:DIRECTED]->(target) + SET r += $properties + RETURN r + :result:None +2024-10-30 06:47:44,430 - lightrag - INFO - _check_edge_existence:query:MATCH (a:`GHOST OF CHRISTMAS PRESENT`)-[r]-(b:`PUDDINGS`) RETURN COUNT(r) > 0 AS edgeExists:result:True +2024-10-30 06:47:44,560 - lightrag - INFO - get_edge:query: + MATCH (start:`GHOST OF CHRISTMAS PRESENT`)-[r]->(end:`PUDDINGS`) + RETURN properties(r) as edge_properties + LIMIT 1 + :result:{'keywords': '"warmth, comfort"', 'weight': 8.0, 'description': '"Puddings are part of the Ghost’s feast, embodying warmth and comfort during the Christmas season."', 'source_id': 'chunk-843b5b2f944c7413d9ca876e2e2f151f'} +2024-10-30 06:47:44,675 - lightrag - INFO - _check_node_exists:query:MATCH (n:`GHOST OF CHRISTMAS PRESENT`) RETURN count(n) > 0 AS node_exists:result:True +2024-10-30 06:47:44,846 - lightrag - INFO - _check_node_exists:query:MATCH (n:`PUDDINGS`) RETURN count(n) > 0 AS node_exists:result:True +2024-10-30 06:47:45,022 - lightrag - INFO - _do_upsert_edge:query: + MATCH (source:`GHOST OF CHRISTMAS PRESENT`) + WITH source + MATCH (target:`PUDDINGS`) + MERGE (source)-[r:DIRECTED]->(target) + SET r += $properties + RETURN r + :result:None +2024-10-30 06:47:45,201 - lightrag - INFO - _check_edge_existence:query:MATCH (a:`FRUIT`)-[r]-(b:`GHOST OF CHRISTMAS PRESENT`) RETURN COUNT(r) > 0 AS edgeExists:result:True +2024-10-30 06:47:45,335 - lightrag - INFO - get_edge:query: + MATCH (start:`FRUIT`)-[r]->(end:`GHOST OF CHRISTMAS PRESENT`) + RETURN properties(r) as edge_properties + LIMIT 1 + :result:{'keywords': '"sharing, abundance"', 'weight': 8.0, 'description': '"Fruit served by the Ghost reinforces the joy of sharing and the abundance of the Christmas season."', 'source_id': 'chunk-843b5b2f944c7413d9ca876e2e2f151f'} +2024-10-30 06:47:45,466 - lightrag - INFO - _check_node_exists:query:MATCH (n:`FRUIT`) RETURN count(n) > 0 AS node_exists:result:True +2024-10-30 06:47:45,618 - lightrag - INFO - _check_node_exists:query:MATCH (n:`GHOST OF CHRISTMAS PRESENT`) RETURN count(n) > 0 AS node_exists:result:True +2024-10-30 06:47:45,797 - lightrag - INFO - _do_upsert_edge:query: + MATCH (source:`FRUIT`) + WITH source + MATCH (target:`GHOST OF CHRISTMAS PRESENT`) + MERGE (source)-[r:DIRECTED]->(target) + SET r += $properties + RETURN r + :result:None +2024-10-30 06:47:45,978 - lightrag - INFO - _check_edge_existence:query:MATCH (a:`GHOST OF CHRISTMAS PRESENT`)-[r]-(b:`PUNCH`) RETURN COUNT(r) > 0 AS edgeExists:result:True +2024-10-30 06:47:46,113 - lightrag - INFO - get_edge:query: + MATCH (start:`GHOST OF CHRISTMAS PRESENT`)-[r]->(end:`PUNCH`) + RETURN properties(r) as edge_properties + LIMIT 1 + :result:{'keywords': '"celebration, festivity"', 'weight': 8.0, 'description': '"Punch serves as a festive drink shared during Christmas, enhancing the celebratory atmosphere."', 'source_id': 'chunk-843b5b2f944c7413d9ca876e2e2f151f'} +2024-10-30 06:47:46,233 - lightrag - INFO - _check_node_exists:query:MATCH (n:`GHOST OF CHRISTMAS PRESENT`) RETURN count(n) > 0 AS node_exists:result:True +2024-10-30 06:47:46,459 - lightrag - INFO - _check_node_exists:query:MATCH (n:`PUNCH`) RETURN count(n) > 0 AS node_exists:result:True +2024-10-30 06:47:46,637 - lightrag - INFO - _do_upsert_edge:query: + MATCH (source:`GHOST OF CHRISTMAS PRESENT`) + WITH source + MATCH (target:`PUNCH`) + MERGE (source)-[r:DIRECTED]->(target) + SET r += $properties + RETURN r + :result:None +2024-10-30 06:47:46,814 - lightrag - INFO - _check_edge_existence:query:MATCH (a:`ANTIQUE SCABBARD`)-[r]-(b:`GHOST OF CHRISTMAS PRESENT`) RETURN COUNT(r) > 0 AS edgeExists:result:True +2024-10-30 06:47:46,946 - lightrag - INFO - get_edge:query: + MATCH (start:`ANTIQUE SCABBARD`)-[r]->(end:`GHOST OF CHRISTMAS PRESENT`) + RETURN properties(r) as edge_properties + LIMIT 1 + :result:{'keywords': '"history, guardianship"', 'weight': 7.0, 'description': '"The Antique Scabbard worn by the Spirit symbolizes history and the guardianship of Christmas traditions."', 'source_id': 'chunk-843b5b2f944c7413d9ca876e2e2f151f'} +2024-10-30 06:47:47,080 - lightrag - INFO - _check_node_exists:query:MATCH (n:`ANTIQUE SCABBARD`) RETURN count(n) > 0 AS node_exists:result:True +2024-10-30 06:47:47,241 - lightrag - INFO - _check_node_exists:query:MATCH (n:`GHOST OF CHRISTMAS PRESENT`) RETURN count(n) > 0 AS node_exists:result:True +2024-10-30 06:47:47,423 - lightrag - INFO - _do_upsert_edge:query: + MATCH (source:`ANTIQUE SCABBARD`) + WITH source + MATCH (target:`GHOST OF CHRISTMAS PRESENT`) + MERGE (source)-[r:DIRECTED]->(target) + SET r += $properties + RETURN r + :result:None +2024-10-30 06:47:47,596 - lightrag - INFO - _check_edge_existence:query:MATCH (a:`CHRISTMAS`)-[r]-(b:`GROCERS'`) RETURN COUNT(r) > 0 AS edgeExists:result:True +2024-10-30 06:47:47,727 - lightrag - INFO - get_edge:query: + MATCH (start:`CHRISTMAS`)-[r]->(end:`GROCERS'`) + RETURN properties(r) as edge_properties + LIMIT 1 + :result:{'keywords': '"retail, festive celebration"', 'weight': 8.0, 'description': '"The Grocers\' organization plays a crucial role during Christmas by providing goods that contribute to the festive spirit."', 'source_id': 'chunk-99b0ec7f7e006561352b5d65e849611d'} +2024-10-30 06:47:47,850 - lightrag - INFO - _check_node_exists:query:MATCH (n:`CHRISTMAS`) RETURN count(n) > 0 AS node_exists:result:True +2024-10-30 06:47:48,020 - lightrag - INFO - _check_node_exists:query:MATCH (n:`GROCERS'`) RETURN count(n) > 0 AS node_exists:result:True +2024-10-30 06:47:48,200 - lightrag - INFO - _do_upsert_edge:query: + MATCH (source:`CHRISTMAS`) + WITH source + MATCH (target:`GROCERS'`) + MERGE (source)-[r:DIRECTED]->(target) + SET r += $properties + RETURN r + :result:None +2024-10-30 06:47:48,386 - lightrag - INFO - _check_edge_existence:query:MATCH (a:`CHRISTMAS`)-[r]-(b:`PEOPLE`) RETURN COUNT(r) > 0 AS edgeExists:result:True +2024-10-30 06:47:48,518 - lightrag - INFO - get_edge:query: + MATCH (start:`CHRISTMAS`)-[r]->(end:`PEOPLE`) + RETURN properties(r) as edge_properties + LIMIT 1 + :result:{'keywords': '"community celebration, joy"', 'weight': 9.0, 'description': '"The People are actively engaged in the celebration of Christmas, demonstrating joy and festivity despite the harsh weather conditions."', 'source_id': 'chunk-99b0ec7f7e006561352b5d65e849611d'} +2024-10-30 06:47:48,639 - lightrag - INFO - _check_node_exists:query:MATCH (n:`CHRISTMAS`) RETURN count(n) > 0 AS node_exists:result:True +2024-10-30 06:47:48,808 - lightrag - INFO - _check_node_exists:query:MATCH (n:`PEOPLE`) RETURN count(n) > 0 AS node_exists:result:True +2024-10-30 06:47:48,984 - lightrag - INFO - _do_upsert_edge:query: + MATCH (source:`CHRISTMAS`) + WITH source + MATCH (target:`PEOPLE`) + MERGE (source)-[r:DIRECTED]->(target) + SET r += $properties + RETURN r + :result:None +2024-10-30 06:47:49,163 - lightrag - INFO - _check_edge_existence:query:MATCH (a:`CHRISTMAS`)-[r]-(b:`GREAT BRITAIN`) RETURN COUNT(r) > 0 AS edgeExists:result:True +2024-10-30 06:47:49,297 - lightrag - INFO - get_edge:query: + MATCH (start:`CHRISTMAS`)-[r]->(end:`GREAT BRITAIN`) + RETURN properties(r) as edge_properties + LIMIT 1 + :result:{'keywords': '"celebration, societal mood"', 'weight': 7.0, 'description': '"The celebration of Christmas brings a cheerful atmosphere to Great Britain despite the gloomy weather conditions."', 'source_id': 'chunk-99b0ec7f7e006561352b5d65e849611d'} +2024-10-30 06:47:49,414 - lightrag - INFO - _check_node_exists:query:MATCH (n:`CHRISTMAS`) RETURN count(n) > 0 AS node_exists:result:True +2024-10-30 06:47:49,581 - lightrag - INFO - _check_node_exists:query:MATCH (n:`GREAT BRITAIN`) RETURN count(n) > 0 AS node_exists:result:True +2024-10-30 06:47:49,759 - lightrag - INFO - _do_upsert_edge:query: + MATCH (source:`CHRISTMAS`) + WITH source + MATCH (target:`GREAT BRITAIN`) + MERGE (source)-[r:DIRECTED]->(target) + SET r += $properties + RETURN r + :result:None +2024-10-30 06:47:49,939 - lightrag - INFO - _check_edge_existence:query:MATCH (a:`SCROOGE`)-[r]-(b:`SPIRIT OF CHRISTMAS PRESENT`) RETURN COUNT(r) > 0 AS edgeExists:result:True +2024-10-30 06:47:50,073 - lightrag - INFO - get_edge:query: + MATCH (start:`SCROOGE`)-[r]->(end:`SPIRIT OF CHRISTMAS PRESENT`) + RETURN properties(r) as edge_properties + LIMIT 1 + :result:{'keywords': '"transformation, generosity"', 'weight': 8.0, 'description': '"Scrooge interacts with the Spirit of Christmas Present, who shows him the joys of Christmas and the importance of generosity."', 'source_id': 'chunk-b0f459f5af1c3a5e0b92cbe4ee48b77b'} +2024-10-30 06:47:50,196 - lightrag - INFO - _check_node_exists:query:MATCH (n:`SCROOGE`) RETURN count(n) > 0 AS node_exists:result:True +2024-10-30 06:47:50,365 - lightrag - INFO - _check_node_exists:query:MATCH (n:`SPIRIT OF CHRISTMAS PRESENT`) RETURN count(n) > 0 AS node_exists:result:True +2024-10-30 06:47:50,541 - lightrag - INFO - _do_upsert_edge:query: + MATCH (source:`SCROOGE`) + WITH source + MATCH (target:`SPIRIT OF CHRISTMAS PRESENT`) + MERGE (source)-[r:DIRECTED]->(target) + SET r += $properties + RETURN r + :result:None +2024-10-30 06:47:50,716 - lightrag - INFO - _check_edge_existence:query:MATCH (a:`BOB CRATCHIT`)-[r]-(b:`SPIRIT OF CHRISTMAS PRESENT`) RETURN COUNT(r) > 0 AS edgeExists:result:True +2024-10-30 06:47:50,847 - lightrag - INFO - get_edge:query: + MATCH (start:`BOB CRATCHIT`)-[r]->(end:`SPIRIT OF CHRISTMAS PRESENT`) + RETURN properties(r) as edge_properties + LIMIT 1 + :result:{'keywords': '"blessing, compassion"', 'weight': 9.0, 'description': '"The Spirit blesses Bob Cratchit’s dwelling, symbolizing the recognition of the Cratchit family\'s struggles and joys on Christmas Day."', 'source_id': 'chunk-b0f459f5af1c3a5e0b92cbe4ee48b77b'} +2024-10-30 06:47:50,975 - lightrag - INFO - _check_node_exists:query:MATCH (n:`BOB CRATCHIT`) RETURN count(n) > 0 AS node_exists:result:True +2024-10-30 06:47:51,143 - lightrag - INFO - _check_node_exists:query:MATCH (n:`SPIRIT OF CHRISTMAS PRESENT`) RETURN count(n) > 0 AS node_exists:result:True +2024-10-30 06:47:51,325 - lightrag - INFO - _do_upsert_edge:query: + MATCH (source:`BOB CRATCHIT`) + WITH source + MATCH (target:`SPIRIT OF CHRISTMAS PRESENT`) + MERGE (source)-[r:DIRECTED]->(target) + SET r += $properties + RETURN r + :result:None +2024-10-30 06:47:51,505 - lightrag - INFO - _check_edge_existence:query:MATCH (a:`BOB CRATCHIT`)-[r]-(b:`THE CRATCHIT HOUSEHOLD`) RETURN COUNT(r) > 0 AS edgeExists:result:True +2024-10-30 06:47:51,641 - lightrag - INFO - get_edge:query: + MATCH (start:`BOB CRATCHIT`)-[r]->(end:`THE CRATCHIT HOUSEHOLD`) + RETURN properties(r) as edge_properties + LIMIT 1 + :result:{'keywords': '"family, support"', 'weight': 8.0, 'description': '"Bob Cratchit leads his family, representing resilience and love in the face of hardship, which is celebrated by the Spirit."', 'source_id': 'chunk-b0f459f5af1c3a5e0b92cbe4ee48b77b'} +2024-10-30 06:47:51,774 - lightrag - INFO - _check_node_exists:query:MATCH (n:`BOB CRATCHIT`) RETURN count(n) > 0 AS node_exists:result:True +2024-10-30 06:47:51,937 - lightrag - INFO - _check_node_exists:query:MATCH (n:`THE CRATCHIT HOUSEHOLD`) RETURN count(n) > 0 AS node_exists:result:True +2024-10-30 06:47:52,120 - lightrag - INFO - _do_upsert_edge:query: + MATCH (source:`BOB CRATCHIT`) + WITH source + MATCH (target:`THE CRATCHIT HOUSEHOLD`) + MERGE (source)-[r:DIRECTED]->(target) + SET r += $properties + RETURN r + :result:None +2024-10-30 06:47:52,296 - lightrag - INFO - _check_edge_existence:query:MATCH (a:`MRS. CRATCHIT`)-[r]-(b:`THE CRATCHIT HOUSEHOLD`) RETURN COUNT(r) > 0 AS edgeExists:result:True +2024-10-30 06:47:52,427 - lightrag - INFO - get_edge:query: + MATCH (start:`MRS. CRATCHIT`)-[r]->(end:`THE CRATCHIT HOUSEHOLD`) + RETURN properties(r) as edge_properties + LIMIT 1 + :result:{'keywords': '"dedication, familial love"', 'weight': 7.0, 'description': '"Mrs. Cratchit contributes to the family’s efforts to celebrate Christmas, demonstrating dedication and caring."', 'source_id': 'chunk-b0f459f5af1c3a5e0b92cbe4ee48b77b'} +2024-10-30 06:47:52,557 - lightrag - INFO - _check_node_exists:query:MATCH (n:`MRS. CRATCHIT`) RETURN count(n) > 0 AS node_exists:result:True +2024-10-30 06:47:52,719 - lightrag - INFO - _check_node_exists:query:MATCH (n:`THE CRATCHIT HOUSEHOLD`) RETURN count(n) > 0 AS node_exists:result:True +2024-10-30 06:47:52,891 - lightrag - INFO - _do_upsert_edge:query: + MATCH (source:`MRS. CRATCHIT`) + WITH source + MATCH (target:`THE CRATCHIT HOUSEHOLD`) + MERGE (source)-[r:DIRECTED]->(target) + SET r += $properties + RETURN r + :result:None +2024-10-30 06:47:53,072 - lightrag - INFO - _check_edge_existence:query:MATCH (a:`BELINDA CRATCHIT`)-[r]-(b:`THE CRATCHIT HOUSEHOLD`) RETURN COUNT(r) > 0 AS edgeExists:result:True +2024-10-30 06:47:53,207 - lightrag - INFO - get_edge:query: + MATCH (start:`BELINDA CRATCHIT`)-[r]->(end:`THE CRATCHIT HOUSEHOLD`) + RETURN properties(r) as edge_properties + LIMIT 1 + :result:{'keywords': '"cooperation, family bonds"', 'weight': 6.0, 'description': '"Belinda plays an active role in the household duties, reinforcing the theme of cooperation and togetherness."', 'source_id': 'chunk-b0f459f5af1c3a5e0b92cbe4ee48b77b'} +2024-10-30 06:47:53,339 - lightrag - INFO - _check_node_exists:query:MATCH (n:`BELINDA CRATCHIT`) RETURN count(n) > 0 AS node_exists:result:True +2024-10-30 06:47:53,509 - lightrag - INFO - _check_node_exists:query:MATCH (n:`THE CRATCHIT HOUSEHOLD`) RETURN count(n) > 0 AS node_exists:result:True +2024-10-30 06:47:53,686 - lightrag - INFO - _do_upsert_edge:query: + MATCH (source:`BELINDA CRATCHIT`) + WITH source + MATCH (target:`THE CRATCHIT HOUSEHOLD`) + MERGE (source)-[r:DIRECTED]->(target) + SET r += $properties + RETURN r + :result:None +2024-10-30 06:47:53,865 - lightrag - INFO - _check_edge_existence:query:MATCH (a:`MRS. CRATCHIT`)-[r]-(b:`PETER CRATCHIT`) RETURN COUNT(r) > 0 AS edgeExists:result:True +2024-10-30 06:47:53,997 - lightrag - INFO - get_edge:query: + MATCH (start:`MRS. CRATCHIT`)-[r]->(end:`PETER CRATCHIT`) + RETURN properties(r) as edge_properties + LIMIT 1 + :result:{'keywords': '"family participation, dynamic"', 'weight': 7.0, 'description': '"Peter Cratchit assists his mother, reflecting the family dynamic and contribution of children during festive preparations."', 'source_id': 'chunk-b0f459f5af1c3a5e0b92cbe4ee48b77b'} +2024-10-30 06:47:54,127 - lightrag - INFO - _check_node_exists:query:MATCH (n:`MRS. CRATCHIT`) RETURN count(n) > 0 AS node_exists:result:True +2024-10-30 06:47:54,293 - lightrag - INFO - _check_node_exists:query:MATCH (n:`PETER CRATCHIT`) RETURN count(n) > 0 AS node_exists:result:True +2024-10-30 06:47:54,481 - lightrag - INFO - _do_upsert_edge:query: + MATCH (source:`MRS. CRATCHIT`) + WITH source + MATCH (target:`PETER CRATCHIT`) + MERGE (source)-[r:DIRECTED]->(target) + SET r += $properties RETURN r - :result:, ) type='DIRECTED' properties={'keywords': '"family dynamics, togetherness"', 'description': '"The Mother and Father are depicted together, emphasizing family dynamics during the festive occasion."', 'weight': 6.0, 'source_id': 'chunk-da2472b4ef2a535b62908f14d0fb0ca9'}> -2024-10-29 15:29:39,381 - lightrag - INFO - get_edge:query: - MATCH (source:`THE DAUGHTER`)-[r]-(target:`THE MOTHER`) + :result:None +2024-10-30 06:47:54,656 - lightrag - INFO - _check_edge_existence:query:MATCH (a:`THE GROCER`)-[r]-(b:`THE PEOPLE`) RETURN COUNT(r) > 0 AS edgeExists:result:True +2024-10-30 06:47:54,789 - lightrag - INFO - get_edge:query: + MATCH (start:`THE GROCER`)-[r]->(end:`THE PEOPLE`) + RETURN properties(r) as edge_properties + LIMIT 1 + :result:{'keywords': '"community spirit, warmth"', 'weight': 8.0, 'description': '"The Grocer interacts warmly with The People, fostering a sense of community and celebration during Christmas."', 'source_id': 'chunk-b0f459f5af1c3a5e0b92cbe4ee48b77b'} +2024-10-30 06:47:54,920 - lightrag - INFO - _check_node_exists:query:MATCH (n:`THE GROCER`) RETURN count(n) > 0 AS node_exists:result:True +2024-10-30 06:47:55,089 - lightrag - INFO - _check_node_exists:query:MATCH (n:`THE PEOPLE`) RETURN count(n) > 0 AS node_exists:result:True +2024-10-30 06:47:55,272 - lightrag - INFO - _do_upsert_edge:query: + MATCH (source:`THE GROCER`) + WITH source + MATCH (target:`THE PEOPLE`) + MERGE (source)-[r:DIRECTED]->(target) + SET r += $properties RETURN r - :result:, ) type='DIRECTED' properties={'keywords': '"familial love, joy"', 'description': '"The Mother and Daughter share a loving and playful relationship, showcasing familial bonds and joy during the Christmas season."', 'weight': 7.0, 'source_id': 'chunk-54bdd22db1f84a965b5f4c06c9216d8d'}> -2024-10-29 15:29:39,479 - lightrag - INFO - get_edge:query: - MATCH (source:`GHOST OF CHRISTMAS PRESENT`)-[r]-(target:`SCROOGE`) + :result:None +2024-10-30 06:47:55,453 - lightrag - INFO - _check_edge_existence:query:MATCH (a:`THE CRATCHIT HOUSEHOLD`)-[r]-(b:`THE SPIRIT OF CHRISTMAS PRESENT`) RETURN COUNT(r) > 0 AS edgeExists:result:True +2024-10-30 06:47:55,588 - lightrag - INFO - get_edge:query: + MATCH (start:`THE CRATCHIT HOUSEHOLD`)-[r]->(end:`THE SPIRIT OF CHRISTMAS PRESENT`) + RETURN properties(r) as edge_properties + LIMIT 1 + :result:{'keywords': '"observation, blessing"', 'weight': 9.0, 'description': '"The Spirit observes and blesses The Cratchit Household, showcasing the joy and struggles of families during Christmas."', 'source_id': 'chunk-b0f459f5af1c3a5e0b92cbe4ee48b77b'} +2024-10-30 06:47:55,706 - lightrag - INFO - _check_node_exists:query:MATCH (n:`THE CRATCHIT HOUSEHOLD`) RETURN count(n) > 0 AS node_exists:result:True +2024-10-30 06:47:55,875 - lightrag - INFO - _check_node_exists:query:MATCH (n:`THE SPIRIT OF CHRISTMAS PRESENT`) RETURN count(n) > 0 AS node_exists:result:True +2024-10-30 06:47:56,065 - lightrag - INFO - _do_upsert_edge:query: + MATCH (source:`THE CRATCHIT HOUSEHOLD`) + WITH source + MATCH (target:`THE SPIRIT OF CHRISTMAS PRESENT`) + MERGE (source)-[r:DIRECTED]->(target) + SET r += $properties RETURN r - :result:, ) type='DIRECTED' properties={'keywords': '"transformation, mentoring"', 'description': '"Scrooge is led by the Ghost of Christmas Present, who teaches him valuable lessons about generosity and compassion."', 'weight': 10.0, 'source_id': 'chunk-843b5b2f944c7413d9ca876e2e2f151f'}> -2024-10-29 15:29:39,577 - lightrag - INFO - get_edge:query: - MATCH (source:`SCROOGE`)-[r]-(target:`THE PAST`) + :result:None +2024-10-30 06:47:56,245 - lightrag - INFO - _check_edge_existence:query:MATCH (a:`THE BAKER'S SHOP`)-[r]-(b:`THE PEOPLE`) RETURN COUNT(r) > 0 AS edgeExists:result:True +2024-10-30 06:47:56,382 - lightrag - INFO - get_edge:query: + MATCH (start:`THE BAKER'S SHOP`)-[r]->(end:`THE PEOPLE`) + RETURN properties(r) as edge_properties + LIMIT 1 + :result:{'keywords': '"community, gathering place"', 'weight': 7.0, 'description': '"The Baker\'s Shop serves as a gathering place for The People, symbolizing community and shared meals on Christmas Day."', 'source_id': 'chunk-b0f459f5af1c3a5e0b92cbe4ee48b77b'} +2024-10-30 06:47:56,517 - lightrag - INFO - _check_node_exists:query:MATCH (n:`THE BAKER'S SHOP`) RETURN count(n) > 0 AS node_exists:result:True +2024-10-30 06:47:56,683 - lightrag - INFO - _check_node_exists:query:MATCH (n:`THE PEOPLE`) RETURN count(n) > 0 AS node_exists:result:True +2024-10-30 06:47:56,867 - lightrag - INFO - _do_upsert_edge:query: + MATCH (source:`THE BAKER'S SHOP`) + WITH source + MATCH (target:`THE PEOPLE`) + MERGE (source)-[r:DIRECTED]->(target) + SET r += $properties RETURN r - :result:, ) type='DIRECTED' properties={'keywords': '"self-reflection, choices"', 'description': '"Scrooge must acknowledge The Past to understand his current situation and guide his choices for the future."', 'weight': 9.0, 'source_id': 'chunk-91572b3cd42786ba4cb2f180ca25cbf4'}> -2024-10-29 15:29:39,671 - lightrag - INFO - get_edge:query: - MATCH (source:`SCROOGE`)-[r]-(target:`THE GRATE`) + :result:None +2024-10-30 06:47:57,073 - lightrag - INFO - _check_edge_existence:query:MATCH (a:`THE SPIRIT OF CHRISTMAS PRESENT`)-[r]-(b:`THE STREETS`) RETURN COUNT(r) > 0 AS edgeExists:result:True +2024-10-30 06:47:57,204 - lightrag - INFO - get_edge:query: + MATCH (start:`THE SPIRIT OF CHRISTMAS PRESENT`)-[r]->(end:`THE STREETS`) + RETURN properties(r) as edge_properties + LIMIT 1 + :result:{'keywords': '"guidance, social awareness"', 'weight': 8.0, 'description': '"The Spirit guides Scrooge through The Streets, revealing the festive nature and challenges faced by the townsfolk."', 'source_id': 'chunk-b0f459f5af1c3a5e0b92cbe4ee48b77b'} +2024-10-30 06:47:57,330 - lightrag - INFO - _check_node_exists:query:MATCH (n:`THE SPIRIT OF CHRISTMAS PRESENT`) RETURN count(n) > 0 AS node_exists:result:True +2024-10-30 06:47:57,502 - lightrag - INFO - _check_node_exists:query:MATCH (n:`THE STREETS`) RETURN count(n) > 0 AS node_exists:result:True +2024-10-30 06:47:57,685 - lightrag - INFO - _do_upsert_edge:query: + MATCH (source:`THE SPIRIT OF CHRISTMAS PRESENT`) + WITH source + MATCH (target:`THE STREETS`) + MERGE (source)-[r:DIRECTED]->(target) + SET r += $properties RETURN r - :result:, ) type='DIRECTED' properties={'keywords': '"isolation, setting mood"', 'description': '"The Grate\'s cold fire adds to the bleak setting of Scrooge\'s home, illustrating his disconnection from warmth and comfort before the supernatural events unfold."', 'weight': 6.0, 'source_id': 'chunk-9c43dac2fcd5b578242d907ea6f8fc7b'}> -2024-10-29 15:29:39,769 - lightrag - INFO - get_edge:query: - MATCH (source:`MASTER SCROOGE`)-[r]-(target:`SCROOGE`) + :result:None +2024-10-30 06:47:57,861 - lightrag - INFO - _check_edge_existence:query:MATCH (a:`THE CRATCHIT HOUSEHOLD`)-[r]-(b:`THE SUBURBS`) RETURN COUNT(r) > 0 AS edgeExists:result:True +2024-10-30 06:47:58,016 - lightrag - INFO - get_edge:query: + MATCH (start:`THE CRATCHIT HOUSEHOLD`)-[r]->(end:`THE SUBURBS`) + RETURN properties(r) as edge_properties + LIMIT 1 + :result:{'keywords': '"social commentary, inequality"', 'weight': 6.0, 'description': '"The Suburbs illustrate the challenges faced by families like The Cratchit Household, emphasizing social inequality."', 'source_id': 'chunk-b0f459f5af1c3a5e0b92cbe4ee48b77b'} +2024-10-30 06:47:58,134 - lightrag - INFO - _check_node_exists:query:MATCH (n:`THE CRATCHIT HOUSEHOLD`) RETURN count(n) > 0 AS node_exists:result:True +2024-10-30 06:47:58,301 - lightrag - INFO - _check_node_exists:query:MATCH (n:`THE SUBURBS`) RETURN count(n) > 0 AS node_exists:result:True +2024-10-30 06:47:58,481 - lightrag - INFO - _do_upsert_edge:query: + MATCH (source:`THE CRATCHIT HOUSEHOLD`) + WITH source + MATCH (target:`THE SUBURBS`) + MERGE (source)-[r:DIRECTED]->(target) + SET r += $properties RETURN r - :result:, ) type='DIRECTED' properties={'keywords': '"nostalgia, identity"', 'description': '"The young Master Scrooge represents Scrooge\'s earlier aspirations and innocence, contrasting with his current self."', 'weight': 9.0, 'source_id': 'chunk-c6c248858d1b13ab7ee9ca13c1aeed6b'}> -2024-10-29 15:29:39,865 - lightrag - INFO - get_edge:query: - MATCH (source:`BUSINESSMEN`)-[r]-(target:`SCROOGE`) + :result:None +2024-10-30 06:47:58,654 - lightrag - INFO - _check_edge_existence:query:MATCH (a:`DINNERS`)-[r]-(b:`THE CRATCHIT HOUSEHOLD`) RETURN COUNT(r) > 0 AS edgeExists:result:True +2024-10-30 06:47:58,789 - lightrag - INFO - get_edge:query: + MATCH (start:`DINNERS`)-[r]->(end:`THE CRATCHIT HOUSEHOLD`) + RETURN properties(r) as edge_properties + LIMIT 1 + :result:{'keywords': '"togetherness, familial love"', 'weight': 8.0, 'description': '"The dinners prepared by The Cratchit Household signify love and togetherness, reflecting on the importance of family meals during the holidays."', 'source_id': 'chunk-b0f459f5af1c3a5e0b92cbe4ee48b77b'} +2024-10-30 06:47:58,916 - lightrag - INFO - _check_node_exists:query:MATCH (n:`DINNERS`) RETURN count(n) > 0 AS node_exists:result:True +2024-10-30 06:47:59,075 - lightrag - INFO - _check_node_exists:query:MATCH (n:`THE CRATCHIT HOUSEHOLD`) RETURN count(n) > 0 AS node_exists:result:True +2024-10-30 06:47:59,255 - lightrag - INFO - _do_upsert_edge:query: + MATCH (source:`DINNERS`) + WITH source + MATCH (target:`THE CRATCHIT HOUSEHOLD`) + MERGE (source)-[r:DIRECTED]->(target) + SET r += $properties RETURN r - :result:, ) type='DIRECTED' properties={'keywords': '"social interactions, superficiality"', 'description': '"Scrooge\'s past interactions with the businessmen are superficial, reflecting his focus on wealth and status rather than meaningful connections."', 'weight': 7.0, 'source_id': 'chunk-f1a4fbcf1ed86864b9bfd5e8dba4c683'}> -2024-10-29 15:29:39,962 - lightrag - INFO - get_edge:query: - MATCH (source:`GHOST`)-[r]-(target:`HUMANITY`) + :result:None +2024-10-30 06:47:59,436 - lightrag - INFO - _check_edge_existence:query:MATCH (a:`BOB CRATCHIT`)-[r]-(b:`MARTHA`) RETURN COUNT(r) > 0 AS edgeExists:result:True +2024-10-30 06:47:59,572 - lightrag - INFO - get_edge:query: + MATCH (start:`BOB CRATCHIT`)-[r]->(end:`MARTHA`) + RETURN properties(r) as edge_properties + LIMIT 1 + :result:{'keywords': '"family reunion, surprise"', 'weight': 8.0, 'description': '"Martha surprises Bob Cratchit by coming home late for Christmas dinner, showing the family\'s love and warmth in reunions."', 'source_id': 'chunk-7e2e7ebcc19a53b399dc03aded4743e7'} +2024-10-30 06:47:59,700 - lightrag - INFO - _check_node_exists:query:MATCH (n:`BOB CRATCHIT`) RETURN count(n) > 0 AS node_exists:result:True +2024-10-30 06:47:59,863 - lightrag - INFO - _check_node_exists:query:MATCH (n:`MARTHA`) RETURN count(n) > 0 AS node_exists:result:True +2024-10-30 06:48:00,043 - lightrag - INFO - _do_upsert_edge:query: + MATCH (source:`BOB CRATCHIT`) + WITH source + MATCH (target:`MARTHA`) + MERGE (source)-[r:DIRECTED]->(target) + SET r += $properties RETURN r - :result:, ) type='DIRECTED' properties={'keywords': '"social consciousness, humanitarian appeal"', 'description': '"The Ghost symbolizes humanity\'s need for introspection and change, urging Scrooge to recognize and act upon social issues."', 'weight': 9.0, 'source_id': 'chunk-e7637ff18c5ded77a68cce0a87883fad'}> -2024-10-29 15:29:40,060 - lightrag - INFO - get_edge:query: - MATCH (source:`CHRISTMAS`)-[r]-(target:`MISTLETOE`) + :result:None +2024-10-30 06:48:00,219 - lightrag - INFO - _check_edge_existence:query:MATCH (a:`CRATCHIT CHRISTMAS DINNER`)-[r]-(b:`CRATCHIT FAMILY`) RETURN COUNT(r) > 0 AS edgeExists:result:True +2024-10-30 06:48:00,353 - lightrag - INFO - get_edge:query: + MATCH (start:`CRATCHIT CHRISTMAS DINNER`)-[r]->(end:`CRATCHIT FAMILY`) + RETURN properties(r) as edge_properties + LIMIT 1 + :result:{'keywords': '"family celebration, togetherness"', 'weight': 10.0, 'description': '"The Cratchit Family comes together to celebrate Christmas dinner, encapsulating their unity and joyful spirit during the holiday season."', 'source_id': 'chunk-7e2e7ebcc19a53b399dc03aded4743e7'} +2024-10-30 06:48:00,481 - lightrag - INFO - _check_node_exists:query:MATCH (n:`CRATCHIT CHRISTMAS DINNER`) RETURN count(n) > 0 AS node_exists:result:True +2024-10-30 06:48:00,649 - lightrag - INFO - _check_node_exists:query:MATCH (n:`CRATCHIT FAMILY`) RETURN count(n) > 0 AS node_exists:result:True +2024-10-30 06:48:00,822 - lightrag - INFO - _do_upsert_edge:query: + MATCH (source:`CRATCHIT CHRISTMAS DINNER`) + WITH source + MATCH (target:`CRATCHIT FAMILY`) + MERGE (source)-[r:DIRECTED]->(target) + SET r += $properties RETURN r - :result:, ) type='DIRECTED' properties={'keywords': '"festive symbols, joy"', 'description': '"Mistletoe is a traditional decoration that enhances the joy and atmosphere of Christmas."', 'weight': 7.0, 'source_id': 'chunk-99b0ec7f7e006561352b5d65e849611d'}> -2024-10-29 15:29:40,151 - lightrag - INFO - get_edge:query: - MATCH (source:`GAOL`)-[r]-(target:`SPIRIT`) + :result:None +2024-10-30 06:48:01,002 - lightrag - INFO - _check_edge_existence:query:MATCH (a:`CRATCHIT FAMILY`)-[r]-(b:`TINY TIM`) RETURN COUNT(r) > 0 AS edgeExists:result:True +2024-10-30 06:48:01,131 - lightrag - INFO - get_edge:query: + MATCH (start:`CRATCHIT FAMILY`)-[r]->(end:`TINY TIM`) + RETURN properties(r) as edge_properties + LIMIT 1 + :result:{'keywords': '"family bond, celebration""family ties, innocence"', 'weight': 15.0, 'description': '"Tiny Tim\'s presence in the Cratchit family adds to their joy and highlights the family\'s spirit of togetherness during Christmas.""Tiny Tim, as part of the Cratchit Family, represents the innocence and vulnerability of the family, affecting their dynamics during Christmas."', 'source_id': 'chunk-7e2e7ebcc19a53b399dc03aded4743e7chunk-19d72c57ae3408758b18d2568e86dc6b'} +2024-10-30 06:48:01,262 - lightrag - INFO - _check_node_exists:query:MATCH (n:`CRATCHIT FAMILY`) RETURN count(n) > 0 AS node_exists:result:True +2024-10-30 06:48:01,432 - lightrag - INFO - _check_node_exists:query:MATCH (n:`TINY TIM`) RETURN count(n) > 0 AS node_exists:result:True +2024-10-30 06:48:01,613 - lightrag - INFO - _do_upsert_edge:query: + MATCH (source:`CRATCHIT FAMILY`) + WITH source + MATCH (target:`TINY TIM`) + MERGE (source)-[r:DIRECTED]->(target) + SET r += $properties RETURN r - :result:, ) type='DIRECTED' properties={'keywords': '"empowerment, societal change"', 'description': '"The Gaol represents the consequences of societal indifference, highlighted by the Spirit to show the need for empathy and reform."', 'weight': 8.0, 'source_id': 'chunk-e7637ff18c5ded77a68cce0a87883fad'}> -2024-10-29 15:29:40,246 - lightrag - INFO - get_edge:query: - MATCH (source:`LIGHT`)-[r]-(target:`THE VISITOR`) + :result:None +2024-10-30 06:48:01,787 - lightrag - INFO - _check_edge_existence:query:MATCH (a:`CRATCHIT CHRISTMAS DINNER`)-[r]-(b:`MRS. CRATCHIT`) RETURN COUNT(r) > 0 AS edgeExists:result:True +2024-10-30 06:48:01,918 - lightrag - INFO - get_edge:query: + MATCH (start:`CRATCHIT CHRISTMAS DINNER`)-[r]->(end:`MRS. CRATCHIT`) + RETURN properties(r) as edge_properties + LIMIT 1 + :result:{'keywords': '"family dedication, celebration"', 'weight': 9.0, 'description': '"Mrs. Cratchit plays a vital role in organizing and preparing the Christmas dinner, showcasing her dedication to the family."', 'source_id': 'chunk-7e2e7ebcc19a53b399dc03aded4743e7'} +2024-10-30 06:48:02,047 - lightrag - INFO - _check_node_exists:query:MATCH (n:`CRATCHIT CHRISTMAS DINNER`) RETURN count(n) > 0 AS node_exists:result:True +2024-10-30 06:48:02,211 - lightrag - INFO - _check_node_exists:query:MATCH (n:`MRS. CRATCHIT`) RETURN count(n) > 0 AS node_exists:result:True +2024-10-30 06:48:02,387 - lightrag - INFO - _do_upsert_edge:query: + MATCH (source:`CRATCHIT CHRISTMAS DINNER`) + WITH source + MATCH (target:`MRS. CRATCHIT`) + MERGE (source)-[r:DIRECTED]->(target) + SET r += $properties RETURN r - :result:, ) type='DIRECTED' properties={'keywords': '"enlightenment, revelation"', 'description': '"The Visitor is associated with Light, which represents enlightenment and understanding for Scrooge during his existential crisis."', 'weight': 9.0, 'source_id': 'chunk-c7b10789a9cb0af6c553730b29bd9034'}> -2024-10-29 15:29:40,342 - lightrag - INFO - get_edge:query: - MATCH (source:`GHOST OF CHRISTMAS YET TO COME`)-[r]-(target:`SPIRIT`) + :result:None +2024-10-30 06:48:02,560 - lightrag - INFO - _check_edge_existence:query:MATCH (a:`CRATCHIT CHRISTMAS DINNER`)-[r]-(b:`THE GOOSE`) RETURN COUNT(r) > 0 AS edgeExists:result:True +2024-10-30 06:48:02,692 - lightrag - INFO - get_edge:query: + MATCH (start:`CRATCHIT CHRISTMAS DINNER`)-[r]->(end:`THE GOOSE`) + RETURN properties(r) as edge_properties + LIMIT 1 + :result:{'keywords': '"central dish, festive tradition"', 'weight': 10.0, 'description': '"The Goose is the centerpiece of the Cratchit Christmas dinner, symbolizing the family\'s festive spirit and shared joy."', 'source_id': 'chunk-7e2e7ebcc19a53b399dc03aded4743e7'} +2024-10-30 06:48:02,817 - lightrag - INFO - _check_node_exists:query:MATCH (n:`CRATCHIT CHRISTMAS DINNER`) RETURN count(n) > 0 AS node_exists:result:True +2024-10-30 06:48:02,983 - lightrag - INFO - _check_node_exists:query:MATCH (n:`THE GOOSE`) RETURN count(n) > 0 AS node_exists:result:True +2024-10-30 06:48:03,160 - lightrag - INFO - _do_upsert_edge:query: + MATCH (source:`CRATCHIT CHRISTMAS DINNER`) + WITH source + MATCH (target:`THE GOOSE`) + MERGE (source)-[r:DIRECTED]->(target) + SET r += $properties RETURN r - :result:, ) type='DIRECTED' properties={'keywords': '"foreshadowing, guidance"', 'description': '"The Spirit is connected to the Ghost of Christmas Yet to Come as both serve to illustrate potential future outcomes for Scrooge."', 'weight': 7.0, 'source_id': 'chunk-02baee20cc9463dbe08170a8e1043e32'}> -2024-10-29 15:29:40,443 - lightrag - INFO - get_edge:query: - MATCH (source:`SCROOGE`)-[r]-(target:`THE HOUSE`) + :result:None +2024-10-30 06:48:03,334 - lightrag - INFO - _check_edge_existence:query:MATCH (a:`THE YOUNG CRATCHITS`)-[r]-(b:`TINY TIM`) RETURN COUNT(r) > 0 AS edgeExists:result:True +2024-10-30 06:48:03,469 - lightrag - INFO - get_edge:query: + MATCH (start:`THE YOUNG CRATCHITS`)-[r]->(end:`TINY TIM`) + RETURN properties(r) as edge_properties + LIMIT 1 + :result:{'keywords': '"sibling bond, family dynamics"', 'weight': 8.0, 'description': '"The Young Cratchits enthusiastically engage with Tiny Tim during the celebrations, highlighting the loving dynamics of the Cratchit family."', 'source_id': 'chunk-7e2e7ebcc19a53b399dc03aded4743e7'} +2024-10-30 06:48:03,600 - lightrag - INFO - _check_node_exists:query:MATCH (n:`THE YOUNG CRATCHITS`) RETURN count(n) > 0 AS node_exists:result:True +2024-10-30 06:48:03,769 - lightrag - INFO - _check_node_exists:query:MATCH (n:`TINY TIM`) RETURN count(n) > 0 AS node_exists:result:True +2024-10-30 06:48:03,943 - lightrag - INFO - _do_upsert_edge:query: + MATCH (source:`THE YOUNG CRATCHITS`) + WITH source + MATCH (target:`TINY TIM`) + MERGE (source)-[r:DIRECTED]->(target) + SET r += $properties RETURN r - :result:, ) type='DIRECTED' properties={'keywords': '"haunting, setting influence"', 'description': '"Scrooge\'s experiences with Marley\'s Ghost occur within The House, which plays a crucial role in the haunting atmosphere."', 'weight': 8.0, 'source_id': 'chunk-9c43dac2fcd5b578242d907ea6f8fc7b'}> -2024-10-29 15:29:40,539 - lightrag - INFO - get_edge:query: - MATCH (source:`GHOST OF CHRISTMAS PAST`)-[r]-(target:`SCROOGE`) + :result:None +2024-10-30 06:48:04,117 - lightrag - INFO - _check_edge_existence:query:MATCH (a:`THE FIRE`)-[r]-(b:`TINY TIM`) RETURN COUNT(r) > 0 AS edgeExists:result:True +2024-10-30 06:48:04,252 - lightrag - INFO - get_edge:query: + MATCH (start:`THE FIRE`)-[r]->(end:`TINY TIM`) + RETURN properties(r) as edge_properties + LIMIT 1 + :result:{'keywords': '"warmth, family support"', 'weight': 8.0, 'description': '"Tiny Tim is seen being supported by the family at the warmth of the Fire, which adds comfort and cheer to their gathering."', 'source_id': 'chunk-7e2e7ebcc19a53b399dc03aded4743e7'} +2024-10-30 06:48:04,382 - lightrag - INFO - _check_node_exists:query:MATCH (n:`THE FIRE`) RETURN count(n) > 0 AS node_exists:result:True +2024-10-30 06:48:04,544 - lightrag - INFO - _check_node_exists:query:MATCH (n:`TINY TIM`) RETURN count(n) > 0 AS node_exists:result:True +2024-10-30 06:48:04,724 - lightrag - INFO - _do_upsert_edge:query: + MATCH (source:`THE FIRE`) + WITH source + MATCH (target:`TINY TIM`) + MERGE (source)-[r:DIRECTED]->(target) + SET r += $properties RETURN r - :result:, ) type='DIRECTED' properties={'keywords': '"reflection, past influence"', 'description': '"Scrooge engages with the Ghost of Christmas Past to explore his earlier life, seeking insight into his current state."', 'weight': 8.0, 'source_id': 'chunk-bb21d58d36c6306fd8810ddd51c4a971'}> -2024-10-29 15:29:40,636 - lightrag - INFO - get_edge:query: - MATCH (source:`CITY`)-[r]-(target:`SCROOGE`) + :result:None +2024-10-30 06:48:04,900 - lightrag - INFO - _check_edge_existence:query:MATCH (a:`CRATCHIT CHRISTMAS DINNER`)-[r]-(b:`THE PUDDING`) RETURN COUNT(r) > 0 AS edgeExists:result:True +2024-10-30 06:48:05,032 - lightrag - INFO - get_edge:query: + MATCH (start:`CRATCHIT CHRISTMAS DINNER`)-[r]->(end:`THE PUDDING`) + RETURN properties(r) as edge_properties + LIMIT 1 + :result:{'keywords': '"traditional dish, celebration"', 'weight': 9.0, 'description': '"The Pudding is an important dish that signals the culmination of the Cratchit Christmas dinner, emphasizing the joy and festivity of the occasion."', 'source_id': 'chunk-7e2e7ebcc19a53b399dc03aded4743e7'} +2024-10-30 06:48:05,152 - lightrag - INFO - _check_node_exists:query:MATCH (n:`CRATCHIT CHRISTMAS DINNER`) RETURN count(n) > 0 AS node_exists:result:True +2024-10-30 06:48:05,328 - lightrag - INFO - _check_node_exists:query:MATCH (n:`THE PUDDING`) RETURN count(n) > 0 AS node_exists:result:True +2024-10-30 06:48:05,508 - lightrag - INFO - _do_upsert_edge:query: + MATCH (source:`CRATCHIT CHRISTMAS DINNER`) + WITH source + MATCH (target:`THE PUDDING`) + MERGE (source)-[r:DIRECTED]->(target) + SET r += $properties RETURN r - :result:, ) type='DIRECTED' properties={'keywords': '"indifference, societal critique""societal impact, personal change"', 'description': '"Scrooge experiences the indifference of the City towards his death, illustrating societal apathy.""Scrooge\'s transformation is set against the backdrop of the City, reflecting the societal implications of his personal changes."', 'weight': 15.0, 'source_id': 'chunk-843b5b2f944c7413d9ca876e2e2f151fchunk-02baee20cc9463dbe08170a8e1043e32'}> -2024-10-29 15:29:40,732 - lightrag - INFO - get_edge:query: - MATCH (source:`SCROOGE`)-[r]-(target:`THE GRAVE`) + :result:None +2024-10-30 06:48:05,683 - lightrag - INFO - _check_edge_existence:query:MATCH (a:`MRS. CRATCHIT`)-[r]-(b:`THE DINNER`) RETURN COUNT(r) > 0 AS edgeExists:result:True +2024-10-30 06:48:05,816 - lightrag - INFO - get_edge:query: + MATCH (start:`MRS. CRATCHIT`)-[r]->(end:`THE DINNER`) + RETURN properties(r) as edge_properties + LIMIT 1 + :result:{'keywords': '"food preparation, holiday tradition"', 'weight': 9.0, 'description': '"Mrs. Cratchit prepares the dinner with pride, particularly the pudding, making it a highlight of the family\'s Christmas celebration."', 'source_id': 'chunk-503f0bfa5453467c7c61d160a3540eca'} +2024-10-30 06:48:05,941 - lightrag - INFO - _check_node_exists:query:MATCH (n:`MRS. CRATCHIT`) RETURN count(n) > 0 AS node_exists:result:True +2024-10-30 06:48:06,106 - lightrag - INFO - _check_node_exists:query:MATCH (n:`THE DINNER`) RETURN count(n) > 0 AS node_exists:result:True +2024-10-30 06:48:06,284 - lightrag - INFO - _do_upsert_edge:query: + MATCH (source:`MRS. CRATCHIT`) + WITH source + MATCH (target:`THE DINNER`) + MERGE (source)-[r:DIRECTED]->(target) + SET r += $properties RETURN r - :result:, ) type='DIRECTED' properties={'keywords': '"mortality, urgency"', 'description': '"Scrooge’s need to confront his own grave signifies the urgency to change his life before it is too late."', 'weight': 8.0, 'source_id': 'chunk-91572b3cd42786ba4cb2f180ca25cbf4'}> -2024-10-29 15:29:40,828 - lightrag - INFO - get_edge:query: - MATCH (source:`SCROOGE`)-[r]-(target:`THE PEOPLE`) + :result:None +2024-10-30 06:48:06,465 - lightrag - INFO - _check_edge_existence:query:MATCH (a:`THE CRATCHIT FAMILY`)-[r]-(b:`THE DINNER`) RETURN COUNT(r) > 0 AS edgeExists:result:True +2024-10-30 06:48:06,595 - lightrag - INFO - get_edge:query: + MATCH (start:`THE CRATCHIT FAMILY`)-[r]->(end:`THE DINNER`) + RETURN properties(r) as edge_properties + LIMIT 1 + :result:{'keywords': '"family unity, celebration"', 'weight': 10.0, 'description': '"The Cratchit Family comes together for The Dinner, showcasing their unity and holiday spirit, despite their modest means."', 'source_id': 'chunk-503f0bfa5453467c7c61d160a3540eca'} +2024-10-30 06:48:06,726 - lightrag - INFO - _check_node_exists:query:MATCH (n:`THE CRATCHIT FAMILY`) RETURN count(n) > 0 AS node_exists:result:True +2024-10-30 06:48:06,884 - lightrag - INFO - _check_node_exists:query:MATCH (n:`THE DINNER`) RETURN count(n) > 0 AS node_exists:result:True +2024-10-30 06:48:07,063 - lightrag - INFO - _do_upsert_edge:query: + MATCH (source:`THE CRATCHIT FAMILY`) + WITH source + MATCH (target:`THE DINNER`) + MERGE (source)-[r:DIRECTED]->(target) + SET r += $properties RETURN r - :result:, ) type='DIRECTED' properties={'keywords': '"community, joy"', 'description': '"Scrooge greets The People he encounters with joy and a newfound delight, signaling his welcome transformation."', 'weight': 8.0, 'source_id': 'chunk-8f738cb25d60a7dab782162d9d0a25ed'}> -2024-10-29 15:29:40,922 - lightrag - INFO - get_edge:query: - MATCH (source:`SCROOGE`)-[r]-(target:`THE GHOST OF MARLEY`) + :result:None +2024-10-30 06:48:07,590 - lightrag - INFO - _check_edge_existence:query:MATCH (a:`SCROOGE`)-[r]-(b:`TINY TIM`) RETURN COUNT(r) > 0 AS edgeExists:result:True +2024-10-30 06:48:07,718 - lightrag - INFO - get_edge:query: + MATCH (start:`SCROOGE`)-[r]->(end:`TINY TIM`) + RETURN properties(r) as edge_properties + LIMIT 1 + :result:{'keywords': '"personal transformation, empathy""transformation, mentorship""transformation, redemption"', 'weight': 26.0, 'description': '"Scrooge becomes a father figure to Tiny Tim, showing a deep commitment to his well-being after realizing the importance of family and caring for others.""Scrooge reflects on Tiny Tim and expresses concern for his wellbeing, indicating a pivotal change in his character and attitudes towards the less fortunate.""Scrooge\'s transformation is influenced by his reflections on the impact of Tiny Tim\'s life and death."', 'source_id': 'chunk-94bea83e7153fc2064aa382b494936a1chunk-503f0bfa5453467c7c61d160a3540ecachunk-91572b3cd42786ba4cb2f180ca25cbf4'} +2024-10-30 06:48:07,834 - lightrag - INFO - _check_node_exists:query:MATCH (n:`SCROOGE`) RETURN count(n) > 0 AS node_exists:result:True +2024-10-30 06:48:07,990 - lightrag - INFO - _check_node_exists:query:MATCH (n:`TINY TIM`) RETURN count(n) > 0 AS node_exists:result:True +2024-10-30 06:48:08,195 - lightrag - INFO - _do_upsert_edge:query: + MATCH (source:`SCROOGE`) + WITH source + MATCH (target:`TINY TIM`) + MERGE (source)-[r:DIRECTED]->(target) + SET r += $properties RETURN r - :result:, ) type='DIRECTED' properties={'keywords': '"supernatural, moral reckoning"', 'description': '"The Ghost of Marley symbolizes Scrooge\'s past mistakes and serves as a catalyst for his transformation."', 'weight': 9.0, 'source_id': 'chunk-d9aac3484185ac66045df92214d245d5'}> -2024-10-29 15:29:41,014 - lightrag - INFO - get_edge:query: - MATCH (source:`CHRISTMAS`)-[r]-(target:`HOLLY`) + :result:None +2024-10-30 06:48:08,368 - lightrag - INFO - _check_edge_existence:query:MATCH (a:`THE DINNER`)-[r]-(b:`THE GOOSE`) RETURN COUNT(r) > 0 AS edgeExists:result:True +2024-10-30 06:48:08,499 - lightrag - INFO - get_edge:query: + MATCH (start:`THE DINNER`)-[r]->(end:`THE GOOSE`) + RETURN properties(r) as edge_properties + LIMIT 1 + :result:{'keywords': '"holiday meal, celebration"', 'weight': 8.0, 'description': '"The Goose is a significant part of The Dinner, representing the main course that brings joy and satisfaction to the Cratchit family."', 'source_id': 'chunk-503f0bfa5453467c7c61d160a3540eca'} +2024-10-30 06:48:08,620 - lightrag - INFO - _check_node_exists:query:MATCH (n:`THE DINNER`) RETURN count(n) > 0 AS node_exists:result:True +2024-10-30 06:48:08,787 - lightrag - INFO - _check_node_exists:query:MATCH (n:`THE GOOSE`) RETURN count(n) > 0 AS node_exists:result:True +2024-10-30 06:48:08,963 - lightrag - INFO - _do_upsert_edge:query: + MATCH (source:`THE DINNER`) + WITH source + MATCH (target:`THE GOOSE`) + MERGE (source)-[r:DIRECTED]->(target) + SET r += $properties RETURN r - :result:, ) type='DIRECTED' properties={'keywords': '"festive decorations, holiday spirit"', 'description': '"Holly contributes to the festive decorations associated with the Christmas celebration."', 'weight': 8.0, 'source_id': 'chunk-99b0ec7f7e006561352b5d65e849611d'}> -2024-10-29 15:29:41,109 - lightrag - INFO - get_edge:query: - MATCH (source:`SCHOOL`)-[r]-(target:`SPIRIT`) + :result:None +2024-10-30 06:48:09,138 - lightrag - INFO - _check_edge_existence:query:MATCH (a:`THE DINNER`)-[r]-(b:`THE PUDDING`) RETURN COUNT(r) > 0 AS edgeExists:result:True +2024-10-30 06:48:09,268 - lightrag - INFO - get_edge:query: + MATCH (start:`THE DINNER`)-[r]->(end:`THE PUDDING`) + RETURN properties(r) as edge_properties + LIMIT 1 + :result:{'keywords': '"dessert, holiday tradition"', 'weight': 9.0, 'description': '"The Pudding is a highlight of The Dinner, showcasing Mrs. Cratchit\'s skill and adding to the festive atmosphere."', 'source_id': 'chunk-503f0bfa5453467c7c61d160a3540eca'} +2024-10-30 06:48:09,386 - lightrag - INFO - _check_node_exists:query:MATCH (n:`THE DINNER`) RETURN count(n) > 0 AS node_exists:result:True +2024-10-30 06:48:09,562 - lightrag - INFO - _check_node_exists:query:MATCH (n:`THE PUDDING`) RETURN count(n) > 0 AS node_exists:result:True +2024-10-30 06:48:09,746 - lightrag - INFO - _do_upsert_edge:query: + MATCH (source:`THE DINNER`) + WITH source + MATCH (target:`THE PUDDING`) + MERGE (source)-[r:DIRECTED]->(target) + SET r += $properties RETURN r - :result:, ) type='DIRECTED' properties={'keywords': '"reflection, nostalgia"', 'description': '"The Spirit leads Scrooge to the School, invoking memories of solitary times that deeply impact his emotional state."', 'weight': 6.0, 'source_id': 'chunk-bb21d58d36c6306fd8810ddd51c4a971'}> -2024-10-29 15:29:41,203 - lightrag - INFO - get_edge:query: - MATCH (source:`MANKIND`)-[r]-(target:`SCROOGE`) + :result:None +2024-10-30 06:48:09,920 - lightrag - INFO - _check_edge_existence:query:MATCH (a:`MISS BELINDA`)-[r]-(b:`THE DINNER`) RETURN COUNT(r) > 0 AS edgeExists:result:True +2024-10-30 06:48:10,053 - lightrag - INFO - get_edge:query: + MATCH (start:`MISS BELINDA`)-[r]->(end:`THE DINNER`) + RETURN properties(r) as edge_properties + LIMIT 1 + :result:{'keywords': '"family contribution, teamwork"', 'weight': 7.0, 'description': '"Miss Belinda\'s role in changing the plates represents her contribution to the family effort in celebrating The Dinner."', 'source_id': 'chunk-503f0bfa5453467c7c61d160a3540eca'} +2024-10-30 06:48:10,181 - lightrag - INFO - _check_node_exists:query:MATCH (n:`MISS BELINDA`) RETURN count(n) > 0 AS node_exists:result:True +2024-10-30 06:48:10,337 - lightrag - INFO - _check_node_exists:query:MATCH (n:`THE DINNER`) RETURN count(n) > 0 AS node_exists:result:True +2024-10-30 06:48:10,514 - lightrag - INFO - _do_upsert_edge:query: + MATCH (source:`MISS BELINDA`) + WITH source + MATCH (target:`THE DINNER`) + MERGE (source)-[r:DIRECTED]->(target) + SET r += $properties RETURN r - :result:, ) type='DIRECTED' properties={'keywords': '"moral responsibility, social awareness"', 'description': '"Scrooge\'s actions and neglect of mankind are highlighted in Marley\'s admonitions, emphasizing the need for connection and care for others."', 'weight': 7.0, 'source_id': 'chunk-359187e7571bda4b0b08b2e0b6581e52'}> -2024-10-29 15:29:41,305 - lightrag - INFO - get_edge:query: - MATCH (source:`SCROOGE`)-[r]-(target:`THE CLERK`) + :result:None +2024-10-30 06:48:10,693 - lightrag - INFO - _check_edge_existence:query:MATCH (a:`CHRISTMAS`)-[r]-(b:`THE DINNER`) RETURN COUNT(r) > 0 AS edgeExists:result:True +2024-10-30 06:48:10,830 - lightrag - INFO - get_edge:query: + MATCH (start:`CHRISTMAS`)-[r]->(end:`THE DINNER`) + RETURN properties(r) as edge_properties + LIMIT 1 + :result:{'keywords': '"festive occasion, celebration"', 'weight': 10.0, 'description': '"The Dinner is part of the Christmas celebration, reflecting the traditions and spirit associated with this holiday."', 'source_id': 'chunk-503f0bfa5453467c7c61d160a3540eca'} +2024-10-30 06:48:10,947 - lightrag - INFO - _check_node_exists:query:MATCH (n:`CHRISTMAS`) RETURN count(n) > 0 AS node_exists:result:True +2024-10-30 06:48:11,103 - lightrag - INFO - _check_node_exists:query:MATCH (n:`THE DINNER`) RETURN count(n) > 0 AS node_exists:result:True +2024-10-30 06:48:11,286 - lightrag - INFO - _do_upsert_edge:query: + MATCH (source:`CHRISTMAS`) + WITH source + MATCH (target:`THE DINNER`) + MERGE (source)-[r:DIRECTED]->(target) + SET r += $properties RETURN r - :result:, ) type='DIRECTED' properties={'keywords': '"contrast in attitudes, workplace dynamics""unfair treatment, workplace dynamics"', 'description': '"Scrooge\'s treatment of the Clerk highlights his miserly and cruel nature, contributing to an oppressive work environment.""The Clerk represents the festive spirit of Christmas that Scrooge dismisses, showcasing Scrooge\'s coldness."', 'weight': 13.0, 'source_id': 'chunk-74e2466de2f67fd710ef2f20c0a8d9e0chunk-5dac41b3f9eeaf794f0147400b1718cd'}> -2024-10-29 15:29:41,410 - lightrag - INFO - get_edge:query: - MATCH (source:`CHRISTMAS CAROL`)-[r]-(target:`SCROOGE`) + :result:None +2024-10-30 06:48:11,474 - lightrag - INFO - _check_edge_existence:query:MATCH (a:`SCROOGE`)-[r]-(b:`THE FOUNDER OF THE FEAST`) RETURN COUNT(r) > 0 AS edgeExists:result:True +2024-10-30 06:48:11,608 - lightrag - INFO - get_edge:query: + MATCH (start:`SCROOGE`)-[r]->(end:`THE FOUNDER OF THE FEAST`) + RETURN properties(r) as edge_properties + LIMIT 1 + :result:{'keywords': '"gratitude, recognition"', 'weight': 8.0, 'description': '"Scrooge\'s contribution as The Founder of the Feast is acknowledged by Bob, highlighting the connection between Scrooge and the Cratchit family\'s Christmas dinner."', 'source_id': 'chunk-503f0bfa5453467c7c61d160a3540eca'} +2024-10-30 06:48:11,728 - lightrag - INFO - _check_node_exists:query:MATCH (n:`SCROOGE`) RETURN count(n) > 0 AS node_exists:result:True +2024-10-30 06:48:11,896 - lightrag - INFO - _check_node_exists:query:MATCH (n:`THE FOUNDER OF THE FEAST`) RETURN count(n) > 0 AS node_exists:result:True +2024-10-30 06:48:12,075 - lightrag - INFO - _do_upsert_edge:query: + MATCH (source:`SCROOGE`) + WITH source + MATCH (target:`THE FOUNDER OF THE FEAST`) + MERGE (source)-[r:DIRECTED]->(target) + SET r += $properties RETURN r - :result:, ) type='DIRECTED' properties={'keywords': '"generosity, connection"', 'description': '"Scrooge recalls a Christmas carol, wishing to give to a boy, which signifies his longing for connection and generosity."', 'weight': 8.0, 'source_id': 'chunk-8590d9263cd2cd4fa583c432fc54e6c3'}> -2024-10-29 15:29:41,527 - lightrag - INFO - get_edge:query: - MATCH (source:`CHILDREN`)-[r]-(target:`SCROOGE`) + :result:None +2024-10-30 06:48:12,249 - lightrag - INFO - _check_edge_existence:query:MATCH (a:`MRS. CRATCHIT`)-[r]-(b:`SCROOGE`) RETURN COUNT(r) > 0 AS edgeExists:result:True +2024-10-30 06:48:12,382 - lightrag - INFO - get_edge:query: + MATCH (start:`MRS. CRATCHIT`)-[r]->(end:`SCROOGE`) + RETURN properties(r) as edge_properties + LIMIT 1 + :result:{'keywords': '"criticism, emotional conflict"', 'weight': 8.0, 'description': '"Mrs. Cratchit openly criticizes Scrooge during the Christmas dinner, expressing her feelings towards him and emphasizing the family\'s resentment."', 'source_id': 'chunk-19d72c57ae3408758b18d2568e86dc6b'} +2024-10-30 06:48:12,507 - lightrag - INFO - _check_node_exists:query:MATCH (n:`MRS. CRATCHIT`) RETURN count(n) > 0 AS node_exists:result:True +2024-10-30 06:48:12,663 - lightrag - INFO - _check_node_exists:query:MATCH (n:`SCROOGE`) RETURN count(n) > 0 AS node_exists:result:True +2024-10-30 06:48:12,838 - lightrag - INFO - _do_upsert_edge:query: + MATCH (source:`MRS. CRATCHIT`) + WITH source + MATCH (target:`SCROOGE`) + MERGE (source)-[r:DIRECTED]->(target) + SET r += $properties RETURN r - :result:, ) type='DIRECTED' properties={'keywords': '"longing, innocence"', 'description': '"Scrooge\'s reaction to the Children he observes in his memories reveals his longing for the happiness he once knew but has since lost."', 'weight': 7.0, 'source_id': 'chunk-bb21d58d36c6306fd8810ddd51c4a971'}> -2024-10-29 15:29:41,623 - lightrag - INFO - get_edge:query: - MATCH (source:`DARKNESS`)-[r]-(target:`SCROOGE`) + :result:None +2024-10-30 06:48:13,042 - lightrag - INFO - _check_edge_existence:query:MATCH (a:`CRATCHIT FAMILY`)-[r]-(b:`THE SPIRIT`) RETURN COUNT(r) > 0 AS edgeExists:result:True +2024-10-30 06:48:13,184 - lightrag - INFO - get_edge:query: + MATCH (start:`CRATCHIT FAMILY`)-[r]->(end:`THE SPIRIT`) + RETURN properties(r) as edge_properties + LIMIT 1 + :result:{'keywords': '"holiday spirit, influence"', 'weight': 9.0, 'description': '"The Spirit influences the Christmas gathering of the Cratchit family by promoting joy and generosity, impacting their celebration."', 'source_id': 'chunk-19d72c57ae3408758b18d2568e86dc6b'} +2024-10-30 06:48:13,317 - lightrag - INFO - _check_node_exists:query:MATCH (n:`CRATCHIT FAMILY`) RETURN count(n) > 0 AS node_exists:result:True +2024-10-30 06:48:13,482 - lightrag - INFO - _check_node_exists:query:MATCH (n:`THE SPIRIT`) RETURN count(n) > 0 AS node_exists:result:True +2024-10-30 06:48:13,663 - lightrag - INFO - _do_upsert_edge:query: + MATCH (source:`CRATCHIT FAMILY`) + WITH source + MATCH (target:`THE SPIRIT`) + MERGE (source)-[r:DIRECTED]->(target) + SET r += $properties RETURN r - :result:, ) type='DIRECTED' properties={'keywords': '"themes, isolation"', 'description': '"Darkness symbolizes Scrooge\'s internal feelings of isolation and regret, presenting the overall mood of his journey towards potential redemption."', 'weight': 9.0, 'source_id': 'chunk-9c43dac2fcd5b578242d907ea6f8fc7b'}> -2024-10-29 15:29:41,719 - lightrag - INFO - get_edge:query: - MATCH (source:`HOSPITAL`)-[r]-(target:`SPIRIT`) + :result:None +2024-10-30 06:48:13,840 - lightrag - INFO - _check_edge_existence:query:MATCH (a:`CHRISTMAS DAY`)-[r]-(b:`CRATCHIT FAMILY`) RETURN COUNT(r) > 0 AS edgeExists:result:True +2024-10-30 06:48:13,970 - lightrag - INFO - get_edge:query: + MATCH (start:`CHRISTMAS DAY`)-[r]->(end:`CRATCHIT FAMILY`) + RETURN properties(r) as edge_properties + LIMIT 1 + :result:{'keywords': '"celebration, tradition""celebration, unity"', 'weight': 19.0, 'description': '"The Cratchit Family gathers to celebrate Christmas Day, reflecting their togetherness and joy despite their hardships.""The Cratchit Family\'s celebration on Christmas Day emphasizes their unity and joy in sharing the holiday together."', 'source_id': 'chunk-7e2e7ebcc19a53b399dc03aded4743e7chunk-19d72c57ae3408758b18d2568e86dc6b'} +2024-10-30 06:48:14,100 - lightrag - INFO - _check_node_exists:query:MATCH (n:`CHRISTMAS DAY`) RETURN count(n) > 0 AS node_exists:result:True +2024-10-30 06:48:14,261 - lightrag - INFO - _check_node_exists:query:MATCH (n:`CRATCHIT FAMILY`) RETURN count(n) > 0 AS node_exists:result:True +2024-10-30 06:48:14,446 - lightrag - INFO - _do_upsert_edge:query: + MATCH (source:`CHRISTMAS DAY`) + WITH source + MATCH (target:`CRATCHIT FAMILY`) + MERGE (source)-[r:DIRECTED]->(target) + SET r += $properties RETURN r - :result:, ) type='DIRECTED' properties={'keywords': '"care, compassion"', 'description': '"The Spirit uses the Hospital to demonstrate humanity\'s capacity for care and its responsibility towards the sick and needy."', 'weight': 8.0, 'source_id': 'chunk-e7637ff18c5ded77a68cce0a87883fad'}> -2024-10-29 15:29:41,817 - lightrag - INFO - get_edge:query: - MATCH (source:`SCROOGE`)-[r]-(target:`STREET`) + :result:None +2024-10-30 06:48:14,633 - lightrag - INFO - _check_edge_existence:query:MATCH (a:`MARTHA CRATCHIT`)-[r]-(b:`PETER CRATCHIT`) RETURN COUNT(r) > 0 AS edgeExists:result:True +2024-10-30 06:48:14,768 - lightrag - INFO - get_edge:query: + MATCH (start:`MARTHA CRATCHIT`)-[r]->(end:`PETER CRATCHIT`) + RETURN properties(r) as edge_properties + LIMIT 1 + :result:{'keywords': '"sibling relationship, family dynamics"', 'weight': 7.0, 'description': '"Peter and Martha interact as siblings during the Christmas gathering, reflecting familial bonds and shared experiences."', 'source_id': 'chunk-19d72c57ae3408758b18d2568e86dc6b'} +2024-10-30 06:48:14,901 - lightrag - INFO - _check_node_exists:query:MATCH (n:`MARTHA CRATCHIT`) RETURN count(n) > 0 AS node_exists:result:True +2024-10-30 06:48:15,067 - lightrag - INFO - _check_node_exists:query:MATCH (n:`PETER CRATCHIT`) RETURN count(n) > 0 AS node_exists:result:True +2024-10-30 06:48:15,242 - lightrag - INFO - _do_upsert_edge:query: + MATCH (source:`MARTHA CRATCHIT`) + WITH source + MATCH (target:`PETER CRATCHIT`) + MERGE (source)-[r:DIRECTED]->(target) + SET r += $properties RETURN r - :result:, ) type='DIRECTED' properties={'keywords': '"observation, societal critique"', 'description': '"Scrooge observes the Street\'s inhabitants and their interactions, reflecting on his own status and societal detachment."', 'weight': 7.0, 'source_id': 'chunk-f1a4fbcf1ed86864b9bfd5e8dba4c683'}> -2024-10-29 15:29:41,915 - lightrag - INFO - get_edge:query: - MATCH (source:`CHRISTMAS`)-[r]-(target:`SCROOGE'S NEPHEW`) + :result:None +2024-10-30 06:48:15,424 - lightrag - INFO - _check_edge_existence:query:MATCH (a:`MARTHA CRATCHIT`)-[r]-(b:`THE COUNTESS`) RETURN COUNT(r) > 0 AS edgeExists:result:True +2024-10-30 06:48:15,562 - lightrag - INFO - get_edge:query: + MATCH (start:`MARTHA CRATCHIT`)-[r]->(end:`THE COUNTESS`) + RETURN properties(r) as edge_properties + LIMIT 1 + :result:{'keywords': '"social aspirations, class contrast"', 'weight': 5.0, 'description': '"Martha’s mention of having seen the Countess represents her connection to higher social circles and dreams beyond her current situation."', 'source_id': 'chunk-19d72c57ae3408758b18d2568e86dc6b'} +2024-10-30 06:48:15,693 - lightrag - INFO - _check_node_exists:query:MATCH (n:`MARTHA CRATCHIT`) RETURN count(n) > 0 AS node_exists:result:True +2024-10-30 06:48:15,865 - lightrag - INFO - _check_node_exists:query:MATCH (n:`THE COUNTESS`) RETURN count(n) > 0 AS node_exists:result:True +2024-10-30 06:48:16,049 - lightrag - INFO - _do_upsert_edge:query: + MATCH (source:`MARTHA CRATCHIT`) + WITH source + MATCH (target:`THE COUNTESS`) + MERGE (source)-[r:DIRECTED]->(target) + SET r += $properties RETURN r - :result:, ) type='DIRECTED' properties={'keywords': '"advocacy for holiday spirit, family dynamics"', 'description': '"Scrooge\'s Nephew defends the positive aspects of Christmas, contrasting Scrooge\'s view that the holiday is pointless."', 'weight': 9.0, 'source_id': 'chunk-5dac41b3f9eeaf794f0147400b1718cd'}> -2024-10-29 15:29:42,010 - lightrag - INFO - get_edge:query: - MATCH (source:`A CHRISTMAS CAROL`)-[r]-(target:`CHARLES DICKENS`) + :result:None +2024-10-30 06:48:16,230 - lightrag - INFO - _check_edge_existence:query:MATCH (a:`THE CRATCHIT FAMILY`)-[r]-(b:`TINY TIM`) RETURN COUNT(r) > 0 AS edgeExists:result:True +2024-10-30 06:48:16,364 - lightrag - INFO - get_edge:query: + MATCH (start:`THE CRATCHIT FAMILY`)-[r]->(end:`TINY TIM`) + RETURN properties(r) as edge_properties + LIMIT 1 + :result:{'keywords': '"family unity, hope"', 'weight': 9.0, 'description': '"Tiny Tim is an integral part of the Cratchit family, embodying their hopes and joys during the Christmas festivities."', 'source_id': 'chunk-19d72c57ae3408758b18d2568e86dc6b'} +2024-10-30 06:48:16,494 - lightrag - INFO - _check_node_exists:query:MATCH (n:`THE CRATCHIT FAMILY`) RETURN count(n) > 0 AS node_exists:result:True +2024-10-30 06:48:16,647 - lightrag - INFO - _check_node_exists:query:MATCH (n:`TINY TIM`) RETURN count(n) > 0 AS node_exists:result:True +2024-10-30 06:48:16,824 - lightrag - INFO - _do_upsert_edge:query: + MATCH (source:`THE CRATCHIT FAMILY`) + WITH source + MATCH (target:`TINY TIM`) + MERGE (source)-[r:DIRECTED]->(target) + SET r += $properties RETURN r - :result:, ) type='DIRECTED' properties={'keywords': '"author, literary impact"', 'description': '"Charles Dickens authored A Christmas Carol, which reflects his views on Victorian society and social issues."', 'weight': 10.0, 'source_id': 'chunk-9e3921da66da5d761ab73cd849af6c43'}> -2024-10-29 15:29:42,101 - lightrag - INFO - get_edge:query: - MATCH (source:`DEATH`)-[r]-(target:`SCROOGE`) + :result:None +2024-10-30 06:48:16,998 - lightrag - INFO - _check_edge_existence:query:MATCH (a:`BOB CRATCHIT`)-[r]-(b:`THE GATHERING`) RETURN COUNT(r) > 0 AS edgeExists:result:True +2024-10-30 06:48:17,129 - lightrag - INFO - get_edge:query: + MATCH (start:`BOB CRATCHIT`)-[r]->(end:`THE GATHERING`) + RETURN properties(r) as edge_properties + LIMIT 1 + :result:{'keywords': '"family commitment, celebration"', 'weight': 8.0, 'description': '"Bob Cratchit leads his family in the Christmas Gathering, showcasing their love and commitment to celebrating together despite worries."', 'source_id': 'chunk-19d72c57ae3408758b18d2568e86dc6b'} +2024-10-30 06:48:17,258 - lightrag - INFO - _check_node_exists:query:MATCH (n:`BOB CRATCHIT`) RETURN count(n) > 0 AS node_exists:result:True +2024-10-30 06:48:17,422 - lightrag - INFO - _check_node_exists:query:MATCH (n:`THE GATHERING`) RETURN count(n) > 0 AS node_exists:result:True +2024-10-30 06:48:17,600 - lightrag - INFO - _do_upsert_edge:query: + MATCH (source:`BOB CRATCHIT`) + WITH source + MATCH (target:`THE GATHERING`) + MERGE (source)-[r:DIRECTED]->(target) + SET r += $properties RETURN r - :result:, ) type='DIRECTED' properties={'keywords': '"existential crisis, contemplation"', 'description': '"Scrooge grapples with the idea of Death as he witnesses the aftermath of The Deceased\'s life, leading to an inner turmoil."', 'weight': 9.0, 'source_id': 'chunk-e1f29eeadc1d8ab46dc8a0bbd3c56b64'}> -2024-10-29 15:29:42,194 - lightrag - INFO - get_edge:query: - MATCH (source:`SCROOGE`)-[r]-(target:`THE GHOST OF CHRISTMAS YET TO COME`) + :result:None +2024-10-30 06:48:17,775 - lightrag - INFO - _check_edge_existence:query:MATCH (a:`THE GATHERING`)-[r]-(b:`THE SPIRIT`) RETURN COUNT(r) > 0 AS edgeExists:result:True +2024-10-30 06:48:17,913 - lightrag - INFO - get_edge:query: + MATCH (start:`THE GATHERING`)-[r]->(end:`THE SPIRIT`) + RETURN properties(r) as edge_properties + LIMIT 1 + :result:{'keywords': '"holiday influence, spirit embodiment"', 'weight': 9.0, 'description': '"The Spirit enhances The Gathering by infusing it with joy and positivity, transforming the atmosphere into one of celebration."', 'source_id': 'chunk-19d72c57ae3408758b18d2568e86dc6b'} +2024-10-30 06:48:18,046 - lightrag - INFO - _check_node_exists:query:MATCH (n:`THE GATHERING`) RETURN count(n) > 0 AS node_exists:result:True +2024-10-30 06:48:18,208 - lightrag - INFO - _check_node_exists:query:MATCH (n:`THE SPIRIT`) RETURN count(n) > 0 AS node_exists:result:True +2024-10-30 06:48:18,380 - lightrag - INFO - _do_upsert_edge:query: + MATCH (source:`THE GATHERING`) + WITH source + MATCH (target:`THE SPIRIT`) + MERGE (source)-[r:DIRECTED]->(target) + SET r += $properties RETURN r - :result:, ) type='DIRECTED' properties={'keywords': '"consequences, change""guidance, self-confrontation"', 'description': '"The Ghost guides Scrooge to confront his potential future that threatens his existence.""The Ghost is critical in revealing the consequences of Scrooge\'s life choices, pushing for change."', 'weight': 19.0, 'source_id': 'chunk-91572b3cd42786ba4cb2f180ca25cbf4'}> -2024-10-29 15:29:42,295 - lightrag - INFO - get_edge:query: - MATCH (source:`SCROOGE`)-[r]-(target:`TWELFTH-NIGHT PARTY`) + :result:None +2024-10-30 06:48:18,560 - lightrag - INFO - _check_edge_existence:query:MATCH (a:`CHRISTMAS`)-[r]-(b:`THE LIGHTHOUSE`) RETURN COUNT(r) > 0 AS edgeExists:result:True +2024-10-30 06:48:18,692 - lightrag - INFO - get_edge:query: + MATCH (start:`CHRISTMAS`)-[r]->(end:`THE LIGHTHOUSE`) + RETURN properties(r) as edge_properties + LIMIT 1 + :result:{'keywords': '"hope, celebration"', 'weight': 7.0, 'description': '"The Lighthouse is a site where Christmas is celebrated, symbolizing hope and warmth in a bleak environment."', 'source_id': 'chunk-91614df5cb74cbe5e109a338a82041e9'} +2024-10-30 06:48:18,815 - lightrag - INFO - _check_node_exists:query:MATCH (n:`CHRISTMAS`) RETURN count(n) > 0 AS node_exists:result:True +2024-10-30 06:48:18,981 - lightrag - INFO - _check_node_exists:query:MATCH (n:`THE LIGHTHOUSE`) RETURN count(n) > 0 AS node_exists:result:True +2024-10-30 06:48:19,160 - lightrag - INFO - _do_upsert_edge:query: + MATCH (source:`CHRISTMAS`) + WITH source + MATCH (target:`THE LIGHTHOUSE`) + MERGE (source)-[r:DIRECTED]->(target) + SET r += $properties RETURN r - :result:, ) type='DIRECTED' properties={'keywords': '"celebration, contrast"', 'description': '"The Twelfth-Night Party serves as a representation of festive joy that contrasts with Scrooge\'s initial isolation."', 'weight': 8.0, 'source_id': 'chunk-e7637ff18c5ded77a68cce0a87883fad'}> -2024-10-29 15:29:42,393 - lightrag - INFO - get_edge:query: - MATCH (source:`SCROOGE`)-[r]-(target:`THE OBSCURE PART OF TOWN`) + :result:None +2024-10-30 06:48:19,335 - lightrag - INFO - _check_edge_existence:query:MATCH (a:`CHRISTMAS`)-[r]-(b:`THE SHIP`) RETURN COUNT(r) > 0 AS edgeExists:result:True +2024-10-30 06:48:19,467 - lightrag - INFO - get_edge:query: + MATCH (start:`CHRISTMAS`)-[r]->(end:`THE SHIP`) + RETURN properties(r) as edge_properties + LIMIT 1 + :result:{'keywords': '"unity, shared experience"', 'weight': 8.0, 'description': '"The Ship\'s crew celebrates Christmas together, creating a sense of unity and shared joy despite their circumstances."', 'source_id': 'chunk-91614df5cb74cbe5e109a338a82041e9'} +2024-10-30 06:48:19,585 - lightrag - INFO - _check_node_exists:query:MATCH (n:`CHRISTMAS`) RETURN count(n) > 0 AS node_exists:result:True +2024-10-30 06:48:19,754 - lightrag - INFO - _check_node_exists:query:MATCH (n:`THE SHIP`) RETURN count(n) > 0 AS node_exists:result:True +2024-10-30 06:48:19,935 - lightrag - INFO - _do_upsert_edge:query: + MATCH (source:`CHRISTMAS`) + WITH source + MATCH (target:`THE SHIP`) + MERGE (source)-[r:DIRECTED]->(target) + SET r += $properties RETURN r - :result:, ) type='DIRECTED' properties={'keywords': '"confrontation, societal reflection"', 'description': '"Scrooge\'s journey leads him to the Obscure Part of Town, representing his confrontation with the darker aspects of life and society."', 'weight': 9.0, 'source_id': 'chunk-f1a4fbcf1ed86864b9bfd5e8dba4c683'}> -2024-10-29 15:29:42,492 - lightrag - INFO - get_edge:query: - MATCH (source:`CHRISTMAS`)-[r]-(target:`GREAT BRITAIN`) + :result:None +2024-10-30 06:48:20,111 - lightrag - INFO - _check_edge_existence:query:MATCH (a:`SCROOGE`)-[r]-(b:`THE LAMPLIGHTER`) RETURN COUNT(r) > 0 AS edgeExists:result:True +2024-10-30 06:48:20,254 - lightrag - INFO - get_edge:query: + MATCH (start:`SCROOGE`)-[r]->(end:`THE LAMPLIGHTER`) + RETURN properties(r) as edge_properties + LIMIT 1 + :result:{'keywords': '"contrast, positivity"', 'weight': 6.0, 'description': '"The Lamplighter\'s cheerful demeanor contrasts with Scrooge\'s initial outlook, highlighting the possibility of joy in life."', 'source_id': 'chunk-91614df5cb74cbe5e109a338a82041e9'} +2024-10-30 06:48:20,373 - lightrag - INFO - _check_node_exists:query:MATCH (n:`SCROOGE`) RETURN count(n) > 0 AS node_exists:result:True +2024-10-30 06:48:20,539 - lightrag - INFO - _check_node_exists:query:MATCH (n:`THE LAMPLIGHTER`) RETURN count(n) > 0 AS node_exists:result:True +2024-10-30 06:48:20,718 - lightrag - INFO - _do_upsert_edge:query: + MATCH (source:`SCROOGE`) + WITH source + MATCH (target:`THE LAMPLIGHTER`) + MERGE (source)-[r:DIRECTED]->(target) + SET r += $properties RETURN r - :result:, ) type='DIRECTED' properties={'keywords': '"celebration, societal mood"', 'description': '"The celebration of Christmas brings a cheerful atmosphere to Great Britain despite the gloomy weather conditions."', 'weight': 7.0, 'source_id': 'chunk-99b0ec7f7e006561352b5d65e849611d'}> -2024-10-29 15:29:42,587 - lightrag - INFO - get_edge:query: - MATCH (source:`FROST`)-[r]-(target:`SCROOGE`) + :result:None +2024-10-30 06:48:20,895 - lightrag - INFO - _check_edge_existence:query:MATCH (a:`THE HUT`)-[r]-(b:`THE OLD MAN`) RETURN COUNT(r) > 0 AS edgeExists:result:True +2024-10-30 06:48:21,031 - lightrag - INFO - get_edge:query: + MATCH (start:`THE HUT`)-[r]->(end:`THE OLD MAN`) + RETURN properties(r) as edge_properties + LIMIT 1 + :result:{'keywords': '"tradition, family gathering"', 'weight': 8.0, 'description': '"The Old Man leads the gathering in song within the Hut, showcasing the warmth of family during Christmas."', 'source_id': 'chunk-91614df5cb74cbe5e109a338a82041e9'} +2024-10-30 06:48:21,162 - lightrag - INFO - _check_node_exists:query:MATCH (n:`THE HUT`) RETURN count(n) > 0 AS node_exists:result:True +2024-10-30 06:48:21,322 - lightrag - INFO - _check_node_exists:query:MATCH (n:`THE OLD MAN`) RETURN count(n) > 0 AS node_exists:result:True +2024-10-30 06:48:21,497 - lightrag - INFO - _do_upsert_edge:query: + MATCH (source:`THE HUT`) + WITH source + MATCH (target:`THE OLD MAN`) + MERGE (source)-[r:DIRECTED]->(target) + SET r += $properties RETURN r - :result:, ) type='DIRECTED' properties={'keywords': '"atmospheric condition, characterization"', 'description': '"Frost enhances the chilling atmosphere around Scrooge\'s life and mindset, reflecting his cold character."', 'weight': 8.0, 'source_id': 'chunk-d9aac3484185ac66045df92214d245d5'}> -2024-10-29 15:29:42,680 - lightrag - INFO - get_edge:query: - MATCH (source:`JACOB MARLEY`)-[r]-(target:`SCROOGE`) + :result:None +2024-10-30 06:48:21,679 - lightrag - INFO - _check_edge_existence:query:MATCH (a:`THE HUT`)-[r]-(b:`THE MINERS`) RETURN COUNT(r) > 0 AS edgeExists:result:True +2024-10-30 06:48:21,817 - lightrag - INFO - get_edge:query: + MATCH (start:`THE HUT`)-[r]->(end:`THE MINERS`) + RETURN properties(r) as edge_properties + LIMIT 1 + :result:{'keywords': '"community, resilience"', 'weight': 7.0, 'description': '"The Miners find solace and community in the Hut during Christmas, emphasizing the importance of gathering during difficult times."', 'source_id': 'chunk-91614df5cb74cbe5e109a338a82041e9'} +2024-10-30 06:48:21,951 - lightrag - INFO - _check_node_exists:query:MATCH (n:`THE HUT`) RETURN count(n) > 0 AS node_exists:result:True +2024-10-30 06:48:22,124 - lightrag - INFO - _check_node_exists:query:MATCH (n:`THE MINERS`) RETURN count(n) > 0 AS node_exists:result:True +2024-10-30 06:48:22,300 - lightrag - INFO - _do_upsert_edge:query: + MATCH (source:`THE HUT`) + WITH source + MATCH (target:`THE MINERS`) + MERGE (source)-[r:DIRECTED]->(target) + SET r += $properties RETURN r - :result:, ) type='DIRECTED' properties={'keywords': '"catalyst for change, supernatural guidance""past influence, warning""redemption, moral lesson""supernatural encounter, past ties""transformation, influence""warning, transformation"', 'description': '"Jacob Marley is the spirit who brings forth the need for Scrooge to change his ways, impacting his character development.""Scrooge confronts Jacob Marley, his former business partner, who returns as a ghost to influence Scrooge\'s perspective on life and his actions.""Scrooge converses with the ghost of Jacob Marley, who tries to guide him toward understanding the importance of compassion and the consequences of his actions.""Scrooge interacts with Jacob Marley, who serves as a critical warning for Scrooge to change his ways before it\'s too late.""Scrooge reflects on Jacob Marley’s past warnings, which serve as a catalyst for his transformation.""Scrooge\'s transformation is prompted by the appearance and message of Jacob Marley, his former business partner."', 'weight': 54.0, 'source_id': 'chunk-90b95db5c53e4364a6bee36b7aa4d70fchunk-1aa50206d02ed89418f65f97c6441d1cchunk-02baee20cc9463dbe08170a8e1043e32chunk-91572b3cd42786ba4cb2f180ca25cbf4chunk-da2472b4ef2a535b62908f14d0fb0ca9chunk-359187e7571bda4b0b08b2e0b6581e52'}> -2024-10-29 15:29:42,774 - lightrag - INFO - get_edge:query: - MATCH (source:`CHRISTMAS-TIME`)-[r]-(target:`THE PHANTOM`) + :result:None +2024-10-30 06:48:22,471 - lightrag - INFO - _check_edge_existence:query:MATCH (a:`THE OFFICERS`)-[r]-(b:`THE SHIP`) RETURN COUNT(r) > 0 AS edgeExists:result:True +2024-10-30 06:48:22,604 - lightrag - INFO - get_edge:query: + MATCH (start:`THE OFFICERS`)-[r]->(end:`THE SHIP`) + RETURN properties(r) as edge_properties + LIMIT 1 + :result:{'keywords': '"camaraderie, festive spirit"', 'weight': 8.0, 'description': '"The Officers aboard the Ship share in the collective spirit of Christmas, contributing to the festive atmosphere during their duty."', 'source_id': 'chunk-91614df5cb74cbe5e109a338a82041e9'} +2024-10-30 06:48:22,737 - lightrag - INFO - _check_node_exists:query:MATCH (n:`THE OFFICERS`) RETURN count(n) > 0 AS node_exists:result:True +2024-10-30 06:48:22,903 - lightrag - INFO - _check_node_exists:query:MATCH (n:`THE SHIP`) RETURN count(n) > 0 AS node_exists:result:True +2024-10-30 06:48:23,080 - lightrag - INFO - _do_upsert_edge:query: + MATCH (source:`THE OFFICERS`) + WITH source + MATCH (target:`THE SHIP`) + MERGE (source)-[r:DIRECTED]->(target) + SET r += $properties RETURN r - :result:, ) type='DIRECTED' properties={'keywords': '"supernatural influence, time of reflection"', 'description': '"The Phantom\'s visits coincide with Christmas time, a time symbolizing reflection, redemption, and moral awakening."', 'weight': 8.0, 'source_id': 'chunk-f1a4fbcf1ed86864b9bfd5e8dba4c683'}> -2024-10-29 15:29:42,870 - lightrag - INFO - get_edge:query: - MATCH (source:`SCROOGE`)-[r]-(target:`THE GHOST OF CHRISTMAS PAST`) + :result:None +2024-10-30 06:48:23,255 - lightrag - INFO - _check_edge_existence:query:MATCH (a:`THE LIGHTHOUSE`)-[r]-(b:`THE WAVE`) RETURN COUNT(r) > 0 AS edgeExists:result:True +2024-10-30 06:48:23,386 - lightrag - INFO - get_edge:query: + MATCH (start:`THE LIGHTHOUSE`)-[r]->(end:`THE WAVE`) + RETURN properties(r) as edge_properties + LIMIT 1 + :result:{'keywords': '"struggle, isolation"', 'weight': 7.0, 'description': '"The Wave\'s constant battering of the Lighthouse highlights the isolation and challenges faced by those in such remote environments."', 'source_id': 'chunk-91614df5cb74cbe5e109a338a82041e9'} +2024-10-30 06:48:23,520 - lightrag - INFO - _check_node_exists:query:MATCH (n:`THE LIGHTHOUSE`) RETURN count(n) > 0 AS node_exists:result:True +2024-10-30 06:48:23,688 - lightrag - INFO - _check_node_exists:query:MATCH (n:`THE WAVE`) RETURN count(n) > 0 AS node_exists:result:True +2024-10-30 06:48:23,866 - lightrag - INFO - _do_upsert_edge:query: + MATCH (source:`THE LIGHTHOUSE`) + WITH source + MATCH (target:`THE WAVE`) + MERGE (source)-[r:DIRECTED]->(target) + SET r += $properties RETURN r - :result:, ) type='DIRECTED' properties={'keywords': '"introspection, memory"', 'description': '"The Ghost of Christmas Past guides Scrooge through recollections, prompting his introspection about his former self and choices."', 'weight': 10.0, 'source_id': 'chunk-b2f98bc7abb0c67d4c86055c7fd72218'}> -2024-10-29 15:29:42,965 - lightrag - INFO - get_edge:query: - MATCH (source:`DICK WILKINS`)-[r]-(target:`SCROOGE`) + :result:None +2024-10-30 06:48:24,044 - lightrag - INFO - _check_edge_existence:query:MATCH (a:`STORM-BIRDS`)-[r]-(b:`THE LIGHTHOUSE`) RETURN COUNT(r) > 0 AS edgeExists:result:True +2024-10-30 06:48:24,178 - lightrag - INFO - get_edge:query: + MATCH (start:`STORM-BIRDS`)-[r]->(end:`THE LIGHTHOUSE`) + RETURN properties(r) as edge_properties + LIMIT 1 + :result:{'keywords': '"wildness, nature"', 'weight': 6.0, 'description': '"Storm-Birds surrounding the Lighthouse reflect the wildness and unpredictability of the sea, enhancing the sense of danger and solitude."', 'source_id': 'chunk-91614df5cb74cbe5e109a338a82041e9'} +2024-10-30 06:48:24,309 - lightrag - INFO - _check_node_exists:query:MATCH (n:`STORM-BIRDS`) RETURN count(n) > 0 AS node_exists:result:True +2024-10-30 06:48:24,476 - lightrag - INFO - _check_node_exists:query:MATCH (n:`THE LIGHTHOUSE`) RETURN count(n) > 0 AS node_exists:result:True +2024-10-30 06:48:24,651 - lightrag - INFO - _do_upsert_edge:query: + MATCH (source:`STORM-BIRDS`) + WITH source + MATCH (target:`THE LIGHTHOUSE`) + MERGE (source)-[r:DIRECTED]->(target) + SET r += $properties RETURN r - :result:, ) type='DIRECTED' properties={'keywords': '"friendship, apprenticeship"', 'description': '"Scrooge recalls his friendship with Dick Wilkins, highlighting the connections of youth and support during their apprenticeship."', 'weight': 7.0, 'source_id': 'chunk-c6c248858d1b13ab7ee9ca13c1aeed6b'}> -2024-10-29 15:29:43,069 - lightrag - INFO - get_edge:query: - MATCH (source:`MISERY'S REFUGE`)-[r]-(target:`SPIRIT`) + :result:None +2024-10-30 06:48:24,828 - lightrag - INFO - _check_edge_existence:query:MATCH (a:`SCROOGE`)-[r]-(b:`SCROOGE'S NIECE`) RETURN COUNT(r) > 0 AS edgeExists:result:True +2024-10-30 06:48:24,964 - lightrag - INFO - get_edge:query: + MATCH (start:`SCROOGE`)-[r]->(end:`SCROOGE'S NIECE`) + RETURN properties(r) as edge_properties + LIMIT 1 + :result:{'keywords': '"family bonds, celebration""ideological conflict, family dynamics"', 'weight': 15.0, 'description': '"Scrooge\'s Niece expresses indignation towards Scrooge\'s belief that Christmas is a humbug, demonstrating her strong opinions against his views.""Scrooge\'s niece embraces the joyful atmosphere of the celebration, engaging with family and inviting good-natured fun."', 'source_id': 'chunk-773d0df1dd25c356f7b771d780583e09chunk-43c9bee23adfa77aa9dedd22401bba7d'} +2024-10-30 06:48:25,084 - lightrag - INFO - _check_node_exists:query:MATCH (n:`SCROOGE`) RETURN count(n) > 0 AS node_exists:result:True +2024-10-30 06:48:25,251 - lightrag - INFO - _check_node_exists:query:MATCH (n:`SCROOGE'S NIECE`) RETURN count(n) > 0 AS node_exists:result:True +2024-10-30 06:48:25,432 - lightrag - INFO - _do_upsert_edge:query: + MATCH (source:`SCROOGE`) + WITH source + MATCH (target:`SCROOGE'S NIECE`) + MERGE (source)-[r:DIRECTED]->(target) + SET r += $properties RETURN r - :result:, ) type='DIRECTED' properties={'keywords': '"social awareness, empathy"', 'description': '"The Spirit\'s presence in Misery\'s Refuge underscores the necessity for societal compassion during difficult times."', 'weight': 10.0, 'source_id': 'chunk-e7637ff18c5ded77a68cce0a87883fad'}> -2024-10-29 15:29:43,163 - lightrag - INFO - get_edge:query: - MATCH (source:`CHRISTMAS`)-[r]-(target:`SCROOGE`) + :result:None +2024-10-30 06:48:25,606 - lightrag - INFO - _check_edge_existence:query:MATCH (a:`SCROOGE'S NEPHEW`)-[r]-(b:`SCROOGE'S NIECE`) RETURN COUNT(r) > 0 AS edgeExists:result:True +2024-10-30 06:48:25,736 - lightrag - INFO - get_edge:query: + MATCH (start:`SCROOGE'S NEPHEW`)-[r]->(end:`SCROOGE'S NIECE`) + RETURN properties(r) as edge_properties + LIMIT 1 + :result:{'keywords': '"family interaction, playful rivalry""shared humor, family bonding"', 'weight': 15.0, 'description': '"Scrooge\'s Nephew and Scrooge\'s Niece share a humorous dynamic, both laughing and contrasting with Scrooge\'s grim outlook.""Scrooge\'s nephew and niece engage in playful banter and competition during the games, enhancing their familial bond."', 'source_id': 'chunk-773d0df1dd25c356f7b771d780583e09chunk-43c9bee23adfa77aa9dedd22401bba7d'} +2024-10-30 06:48:25,870 - lightrag - INFO - _check_node_exists:query:MATCH (n:`SCROOGE'S NEPHEW`) RETURN count(n) > 0 AS node_exists:result:True +2024-10-30 06:48:26,043 - lightrag - INFO - _check_node_exists:query:MATCH (n:`SCROOGE'S NIECE`) RETURN count(n) > 0 AS node_exists:result:True +2024-10-30 06:48:26,225 - lightrag - INFO - _do_upsert_edge:query: + MATCH (source:`SCROOGE'S NEPHEW`) + WITH source + MATCH (target:`SCROOGE'S NIECE`) + MERGE (source)-[r:DIRECTED]->(target) + SET r += $properties RETURN r - :result:, ) type='DIRECTED' properties={'keywords': '"character development, festive spirit""conflict, holiday spirit""contrast, seasonal significance""disconnection, festive spirit""holiday significance, reflection""reflection, redemption""seasonal significance, emotional reflection""transformation, festive spirit""transformation, holiday significance""transformation, holiday spirit"', 'description': '"Christmas is a central theme that invokes Scrooge\'s memories of his past, his feelings of loneliness, and his desire to connect.""Christmas serves as a focal point for Scrooge\'s emotional reflections on joy and his disconnect from societal celebrations.""Christmas serves as the catalyst for Scrooge\'s transformation, highlighting themes of giving and compassion.""Scrooge expresses disdain for Christmas, viewing it as a burden rather than a celebration.""Scrooge\'s attitude towards Christmas highlights his disconnection from the festive spirit and charity associated with the holiday.""Scrooge\'s character contrasts sharply with the joy of Christmas, highlighting his disdain for the festive season.""Scrooge\'s experience during the Christmas event highlights the transformation of his character and the spirit of the holiday.""Scrooge\'s journey with the Spirit ultimately leads him to reflect on the meaning of Christmas and its impact on human connections.""Scrooge\'s transformation and newfound joy are directly linked to the spirit of Christmas.""Scrooge\'s transformation is centered around the spirit of Christmas, which he learns to embrace and celebrate.""Scrooge\'s views on Christmas evolve as he witnesses the joy and familial love associated with the holiday, marking a shift in his character."', 'weight': 95.0, 'source_id': 'chunk-91614df5cb74cbe5e109a338a82041e9chunk-8f738cb25d60a7dab782162d9d0a25edchunk-e7637ff18c5ded77a68cce0a87883fadchunk-8590d9263cd2cd4fa583c432fc54e6c3chunk-54bdd22db1f84a965b5f4c06c9216d8dchunk-90d5764e301321c087f5a8f78b73a145chunk-da2472b4ef2a535b62908f14d0fb0ca9chunk-94bea83e7153fc2064aa382b494936a1chunk-89777b838d5447c7bd1ec11282c4ee89chunk-99b0ec7f7e006561352b5d65e849611dchunk-74e2466de2f67fd710ef2f20c0a8d9e0'}> -2024-10-29 15:29:43,256 - lightrag - INFO - get_edge:query: - MATCH (source:`CRATCHIT FAMILY`)-[r]-(target:`SCROOGE`) + :result:None +2024-10-30 06:48:26,410 - lightrag - INFO - _check_edge_existence:query:MATCH (a:`SCROOGE'S NIECE`)-[r]-(b:`TOPPER`) RETURN COUNT(r) > 0 AS edgeExists:result:True +2024-10-30 06:48:26,546 - lightrag - INFO - get_edge:query: + MATCH (start:`SCROOGE'S NIECE`)-[r]->(end:`TOPPER`) + RETURN properties(r) as edge_properties + LIMIT 1 + :result:{'keywords': '"romantic interest, social dynamics"', 'weight': 6.0, 'description': '"Topper shows interest in Scrooge\'s Niece, indicating a budding romantic interest during the family gathering."', 'source_id': 'chunk-773d0df1dd25c356f7b771d780583e09'} +2024-10-30 06:48:26,666 - lightrag - INFO - _check_node_exists:query:MATCH (n:`SCROOGE'S NIECE`) RETURN count(n) > 0 AS node_exists:result:True +2024-10-30 06:48:26,836 - lightrag - INFO - _check_node_exists:query:MATCH (n:`TOPPER`) RETURN count(n) > 0 AS node_exists:result:True +2024-10-30 06:48:27,016 - lightrag - INFO - _do_upsert_edge:query: + MATCH (source:`SCROOGE'S NIECE`) + WITH source + MATCH (target:`TOPPER`) + MERGE (source)-[r:DIRECTED]->(target) + SET r += $properties RETURN r - :result:, ) type='DIRECTED' properties={'keywords': '"compassion, social awareness"', 'description': '"Scrooge\'s reflections on the Cratchit family\'s situation symbolize his evolving understanding of compassion and social responsibility."', 'weight': 7.0, 'source_id': 'chunk-83ac129dc9b56f84c46760d153d68e93'}> -2024-10-29 15:29:43,348 - lightrag - INFO - get_edge:query: - MATCH (source:`ALMSHOUSE`)-[r]-(target:`SPIRIT`) + :result:None +2024-10-30 06:48:27,202 - lightrag - INFO - _check_edge_existence:query:MATCH (a:`SCROOGE'S NIECE`)-[r]-(b:`SCROOGE'S NIECE'S SISTERS`) RETURN COUNT(r) > 0 AS edgeExists:result:True +2024-10-30 06:48:27,337 - lightrag - INFO - get_edge:query: + MATCH (start:`SCROOGE'S NIECE`)-[r]->(end:`SCROOGE'S NIECE'S SISTERS`) + RETURN properties(r) as edge_properties + LIMIT 1 + :result:{'keywords': '"sisterly bond, shared sentiment"', 'weight': 8.0, 'description': '"Scrooge\'s Niece\'s Sisters share the same lively spirit and engage in laughter, supporting her sentiments towards their uncle Scrooge."', 'source_id': 'chunk-773d0df1dd25c356f7b771d780583e09'} +2024-10-30 06:48:27,461 - lightrag - INFO - _check_node_exists:query:MATCH (n:`SCROOGE'S NIECE`) RETURN count(n) > 0 AS node_exists:result:True +2024-10-30 06:48:27,627 - lightrag - INFO - _check_node_exists:query:MATCH (n:`SCROOGE'S NIECE'S SISTERS`) RETURN count(n) > 0 AS node_exists:result:True +2024-10-30 06:48:27,807 - lightrag - INFO - _do_upsert_edge:query: + MATCH (source:`SCROOGE'S NIECE`) + WITH source + MATCH (target:`SCROOGE'S NIECE'S SISTERS`) + MERGE (source)-[r:DIRECTED]->(target) + SET r += $properties RETURN r - :result:, ) type='DIRECTED' properties={'keywords': '"social critique, awareness"', 'description': '"The Spirit shows Scrooge the Almshouse to illustrate the plight of the poor and the societal neglect present during the holiday season."', 'weight': 9.0, 'source_id': 'chunk-e7637ff18c5ded77a68cce0a87883fad'}> -2024-10-29 15:29:43,438 - lightrag - INFO - get_edge:query: - MATCH (source:`CHRISTMAS`)-[r]-(target:`PEARS`) + :result:None +2024-10-30 06:48:27,982 - lightrag - INFO - _check_edge_existence:query:MATCH (a:`DINNER`)-[r]-(b:`SCROOGE'S NEPHEW`) RETURN COUNT(r) > 0 AS edgeExists:result:True +2024-10-30 06:48:28,117 - lightrag - INFO - get_edge:query: + MATCH (start:`DINNER`)-[r]->(end:`SCROOGE'S NEPHEW`) + RETURN properties(r) as edge_properties + LIMIT 1 + :result:{'keywords': '"family, celebration"', 'weight': 9.0, 'description': '"Scrooge\'s Nephew emphasizes the pleasure of sharing Dinner with loved ones, highlighting the importance of family connections during holiday gatherings."', 'source_id': 'chunk-773d0df1dd25c356f7b771d780583e09'} +2024-10-30 06:48:28,247 - lightrag - INFO - _check_node_exists:query:MATCH (n:`DINNER`) RETURN count(n) > 0 AS node_exists:result:True +2024-10-30 06:48:28,409 - lightrag - INFO - _check_node_exists:query:MATCH (n:`SCROOGE'S NEPHEW`) RETURN count(n) > 0 AS node_exists:result:True +2024-10-30 06:48:28,585 - lightrag - INFO - _do_upsert_edge:query: + MATCH (source:`DINNER`) + WITH source + MATCH (target:`SCROOGE'S NEPHEW`) + MERGE (source)-[r:DIRECTED]->(target) + SET r += $properties RETURN r - :result:, ) type='DIRECTED' properties={'keywords': '"seasonal offerings, tradition"', 'description': '"Pears are part of the fruits offered during the Christmas season, enhancing festive markets."', 'weight': 6.0, 'source_id': 'chunk-99b0ec7f7e006561352b5d65e849611d'}> -2024-10-29 15:29:43,533 - lightrag - INFO - get_edge:query: - MATCH (source:`SCROOGE`)-[r]-(target:`THE GHOST OF JACOB MARLEY`) + :result:None +2024-10-30 06:48:28,758 - lightrag - INFO - _check_edge_existence:query:MATCH (a:`SCROOGE'S NEPHEW`)-[r]-(b:`TOPPER`) RETURN COUNT(r) > 0 AS edgeExists:result:True +2024-10-30 06:48:28,892 - lightrag - INFO - get_edge:query: + MATCH (start:`SCROOGE'S NEPHEW`)-[r]->(end:`TOPPER`) + RETURN properties(r) as edge_properties + LIMIT 1 + :result:{'keywords': '"social interaction, camaraderie"', 'weight': 6.0, 'description': '"Topper interacts with Scrooge\'s Nephew during the festivities, engaging in dialogue that enhances the light-hearted atmosphere of the gathering."', 'source_id': 'chunk-773d0df1dd25c356f7b771d780583e09'} +2024-10-30 06:48:29,012 - lightrag - INFO - _check_node_exists:query:MATCH (n:`SCROOGE'S NEPHEW`) RETURN count(n) > 0 AS node_exists:result:True +2024-10-30 06:48:29,183 - lightrag - INFO - _check_node_exists:query:MATCH (n:`TOPPER`) RETURN count(n) > 0 AS node_exists:result:True +2024-10-30 06:48:29,363 - lightrag - INFO - _do_upsert_edge:query: + MATCH (source:`SCROOGE'S NEPHEW`) + WITH source + MATCH (target:`TOPPER`) + MERGE (source)-[r:DIRECTED]->(target) + SET r += $properties RETURN r - :result:, ) type='DIRECTED' properties={'keywords': '"transformation, warning"', 'description': '"Scrooge\'s encounter with the Ghost of Jacob Marley initiates his journey of self-reflection and realization."', 'weight': 10.0, 'source_id': 'chunk-90b95db5c53e4364a6bee36b7aa4d70f'}> -2024-10-29 15:29:43,630 - lightrag - INFO - get_edge:query: - MATCH (source:`CAMDEN TOWN`)-[r]-(target:`SCROOGE`) + :result:None +2024-10-30 06:48:29,541 - lightrag - INFO - _check_edge_existence:query:MATCH (a:`SCROOGE`)-[r]-(b:`TOPPER`) RETURN COUNT(r) > 0 AS edgeExists:result:True +2024-10-30 06:48:29,671 - lightrag - INFO - get_edge:query: + MATCH (start:`SCROOGE`)-[r]->(end:`TOPPER`) + RETURN properties(r) as edge_properties + LIMIT 1 + :result:{'keywords': '"observation, merriment"', 'weight': 6.0, 'description': '"Scrooge observes Topper\'s antics and expressions of joy during the games, revealing a reflection on human nature and merriment."', 'source_id': 'chunk-43c9bee23adfa77aa9dedd22401bba7d'} +2024-10-30 06:48:29,788 - lightrag - INFO - _check_node_exists:query:MATCH (n:`SCROOGE`) RETURN count(n) > 0 AS node_exists:result:True +2024-10-30 06:48:29,953 - lightrag - INFO - _check_node_exists:query:MATCH (n:`TOPPER`) RETURN count(n) > 0 AS node_exists:result:True +2024-10-30 06:48:30,129 - lightrag - INFO - _do_upsert_edge:query: + MATCH (source:`SCROOGE`) + WITH source + MATCH (target:`TOPPER`) + MERGE (source)-[r:DIRECTED]->(target) + SET r += $properties RETURN r - :result:, ) type='DIRECTED' properties={'keywords': '"logistics, festive preparation"', 'description': '"Scrooge mentions Camden Town in relation to the impracticality of delivering a large turkey there."', 'weight': 5.0, 'source_id': 'chunk-8f738cb25d60a7dab782162d9d0a25ed'}> -2024-10-29 15:29:43,722 - lightrag - INFO - get_edge:query: - MATCH (source:`GHOST`)-[r]-(target:`SCROOGE`) + :result:None +2024-10-30 06:48:30,304 - lightrag - INFO - _check_edge_existence:query:MATCH (a:`CHRISTMAS HOLIDAYS`)-[r]-(b:`SCROOGE`) RETURN COUNT(r) > 0 AS edgeExists:result:True +2024-10-30 06:48:30,436 - lightrag - INFO - get_edge:query: + MATCH (start:`CHRISTMAS HOLIDAYS`)-[r]->(end:`SCROOGE`) + RETURN properties(r) as edge_properties + LIMIT 1 + :result:{'keywords': '"transformation, significance of time"', 'weight': 8.0, 'description': '"Christmas Holidays are integral to Scrooge\'s journey, representing the time of year that prompts his change and reinstates joy."', 'source_id': 'chunk-e7637ff18c5ded77a68cce0a87883fad'} +2024-10-30 06:48:30,565 - lightrag - INFO - _check_node_exists:query:MATCH (n:`CHRISTMAS HOLIDAYS`) RETURN count(n) > 0 AS node_exists:result:True +2024-10-30 06:48:30,721 - lightrag - INFO - _check_node_exists:query:MATCH (n:`SCROOGE`) RETURN count(n) > 0 AS node_exists:result:True +2024-10-30 06:48:30,898 - lightrag - INFO - _do_upsert_edge:query: + MATCH (source:`CHRISTMAS HOLIDAYS`) + WITH source + MATCH (target:`SCROOGE`) + MERGE (source)-[r:DIRECTED]->(target) + SET r += $properties RETURN r - :result:, ) type='DIRECTED' properties={'keywords': '"reflection, self-discovery""spiritual guidance, transformation"', 'description': '"The Ghost guides Scrooge through reflections of his past, influencing his journey toward redemption.""The Ghost takes Scrooge on a journey to teach him lessons about generosity and compassion towards others."', 'weight': 17.0, 'source_id': 'chunk-c6c248858d1b13ab7ee9ca13c1aeed6bchunk-e7637ff18c5ded77a68cce0a87883fad'}> -2024-10-29 15:29:43,817 - lightrag - INFO - get_edge:query: - MATCH (source:`SCROOGE`)-[r]-(target:`THE GHOST OF CHRISTMAS PRESENT`) + :result:None +2024-10-30 06:48:31,077 - lightrag - INFO - _check_edge_existence:query:MATCH (a:`IGNORANCE`)-[r]-(b:`SPIRIT`) RETURN COUNT(r) > 0 AS edgeExists:result:True +2024-10-30 06:48:31,209 - lightrag - INFO - get_edge:query: + MATCH (start:`IGNORANCE`)-[r]->(end:`SPIRIT`) + RETURN properties(r) as edge_properties + LIMIT 1 + :result:{'keywords': '"social issues, awareness""social warning, awareness"', 'weight': 15.0, 'description': '"The Spirit introduces Ignorance to Scrooge as a representation of societal failures, urging him to acknowledge and address these issues.""The Spirit points out Ignorance, highlighting the need for awareness and responsibility toward societal issues."', 'source_id': 'chunk-e7637ff18c5ded77a68cce0a87883fadchunk-02baee20cc9463dbe08170a8e1043e32'} +2024-10-30 06:48:31,339 - lightrag - INFO - _check_node_exists:query:MATCH (n:`IGNORANCE`) RETURN count(n) > 0 AS node_exists:result:True +2024-10-30 06:48:31,505 - lightrag - INFO - _check_node_exists:query:MATCH (n:`SPIRIT`) RETURN count(n) > 0 AS node_exists:result:True +2024-10-30 06:48:31,678 - lightrag - INFO - _do_upsert_edge:query: + MATCH (source:`IGNORANCE`) + WITH source + MATCH (target:`SPIRIT`) + MERGE (source)-[r:DIRECTED]->(target) + SET r += $properties RETURN r - :result:, ) type='DIRECTED' properties={'keywords': '"awareness, joy""supernatural guidance, social impact""transformation, guidance"', 'description': '"The Ghost of Christmas Present exposes Scrooge to the joy and generosity he has been missing.""The Ghost of Christmas Present observes Scrooge\'s transformation and emotional engagement with his memories of Christmas.""The Ghost of Christmas Present shows Scrooge the joy and importance of kindness during Christmas, impacting his perspective on social issues."', 'weight': 26.0, 'source_id': 'chunk-90b95db5c53e4364a6bee36b7aa4d70fchunk-43c9bee23adfa77aa9dedd22401bba7dchunk-b0f459f5af1c3a5e0b92cbe4ee48b77b'}> -2024-10-29 15:29:43,914 - lightrag - INFO - get_edge:query: - MATCH (source:`SCROOGE`)-[r]-(target:`SPIRIT`) + :result:None +2024-10-30 06:48:31,863 - lightrag - INFO - _check_edge_existence:query:MATCH (a:`SPIRIT`)-[r]-(b:`WANT`) RETURN COUNT(r) > 0 AS edgeExists:result:True +2024-10-30 06:48:31,996 - lightrag - INFO - get_edge:query: + MATCH (start:`SPIRIT`)-[r]->(end:`WANT`) + RETURN properties(r) as edge_properties + LIMIT 1 + :result:{'keywords': '"social issues, need for compassion""social warning, deprivation"', 'weight': 15.0, 'description': '"The Spirit points out Want, symbolizing the dire consequences of neglecting societal needs.""The Spirit presents Want along with Ignorance, symbolizing the plight of the less fortunate and appealing for compassion."', 'source_id': 'chunk-e7637ff18c5ded77a68cce0a87883fadchunk-02baee20cc9463dbe08170a8e1043e32'} +2024-10-30 06:48:32,121 - lightrag - INFO - _check_node_exists:query:MATCH (n:`SPIRIT`) RETURN count(n) > 0 AS node_exists:result:True +2024-10-30 06:48:32,289 - lightrag - INFO - _check_node_exists:query:MATCH (n:`WANT`) RETURN count(n) > 0 AS node_exists:result:True +2024-10-30 06:48:32,464 - lightrag - INFO - _do_upsert_edge:query: + MATCH (source:`SPIRIT`) + WITH source + MATCH (target:`WANT`) + MERGE (source)-[r:DIRECTED]->(target) + SET r += $properties RETURN r - :result:, ) type='DIRECTED' properties={'keywords': '"guidance, emotional journey""guidance, transformation""personal growth, spiritual journey""reflection, guidance"', 'description': '"Scrooge engages with the Spirit, who guides him through reflections on his life and warns him of societal issues.""Scrooge learns from the Spirit about the consequences of his actions and the sentiments evoked by death, leading to personal growth.""Scrooge’s interaction with the Spirit emphasizes the emotional weight of his past decisions and feelings as they relate to his transformation.""The Spirit directly influences Scrooge’s transformation and highlights the importance of compassion in human life."', 'weight': 34.0, 'source_id': 'chunk-02baee20cc9463dbe08170a8e1043e32chunk-bb21d58d36c6306fd8810ddd51c4a971chunk-83ac129dc9b56f84c46760d153d68e93chunk-e7637ff18c5ded77a68cce0a87883fad'}> -2024-10-29 15:29:44,012 - lightrag - INFO - get_edge:query: - MATCH (source:`MRS. CRATCHIT`)-[r]-(target:`SCROOGE`) + :result:None +2024-10-30 06:48:32,639 - lightrag - INFO - _check_edge_existence:query:MATCH (a:`CITY`)-[r]-(b:`SPIRIT`) RETURN COUNT(r) > 0 AS edgeExists:result:True +2024-10-30 06:48:32,772 - lightrag - INFO - get_edge:query: + MATCH (start:`CITY`)-[r]->(end:`SPIRIT`) + RETURN properties(r) as edge_properties + LIMIT 1 + :result:{'keywords': '"atmospheric change, reality"', 'weight': 6.0, 'description': '"The Spirit’s presence affects the atmosphere of the City, showcasing the stark realities of life and death surrounding Scrooge."', 'source_id': 'chunk-02baee20cc9463dbe08170a8e1043e32'} +2024-10-30 06:48:32,904 - lightrag - INFO - _check_node_exists:query:MATCH (n:`CITY`) RETURN count(n) > 0 AS node_exists:result:True +2024-10-30 06:48:33,064 - lightrag - INFO - _check_node_exists:query:MATCH (n:`SPIRIT`) RETURN count(n) > 0 AS node_exists:result:True +2024-10-30 06:48:33,249 - lightrag - INFO - _do_upsert_edge:query: + MATCH (source:`CITY`) + WITH source + MATCH (target:`SPIRIT`) + MERGE (source)-[r:DIRECTED]->(target) + SET r += $properties RETURN r - :result:, ) type='DIRECTED' properties={'keywords': '"criticism, emotional conflict"', 'description': '"Mrs. Cratchit openly criticizes Scrooge during the Christmas dinner, expressing her feelings towards him and emphasizing the family\'s resentment."', 'weight': 8.0, 'source_id': 'chunk-19d72c57ae3408758b18d2568e86dc6b'}> -2024-10-29 15:29:44,105 - lightrag - INFO - get_edge:query: - MATCH (source:`SCROOGE`)-[r]-(target:`WANT`) + :result:None +2024-10-30 06:48:33,424 - lightrag - INFO - _check_edge_existence:query:MATCH (a:`JACOB`)-[r]-(b:`SCROOGE`) RETURN COUNT(r) > 0 AS edgeExists:result:True +2024-10-30 06:48:33,554 - lightrag - INFO - get_edge:query: + MATCH (start:`JACOB`)-[r]->(end:`SCROOGE`) + RETURN properties(r) as edge_properties + LIMIT 1 + :result:{'keywords': '"reflection, past relationship"', 'weight': 8.0, 'description': '"Scrooge reflects on his past relationship with Jacob, influenced by feelings of guilt and loss after Jacob\'s death."', 'source_id': 'chunk-f1a4fbcf1ed86864b9bfd5e8dba4c683'} +2024-10-30 06:48:33,682 - lightrag - INFO - _check_node_exists:query:MATCH (n:`JACOB`) RETURN count(n) > 0 AS node_exists:result:True +2024-10-30 06:48:33,835 - lightrag - INFO - _check_node_exists:query:MATCH (n:`SCROOGE`) RETURN count(n) > 0 AS node_exists:result:True +2024-10-30 06:48:34,015 - lightrag - INFO - _do_upsert_edge:query: + MATCH (source:`JACOB`) + WITH source + MATCH (target:`SCROOGE`) + MERGE (source)-[r:DIRECTED]->(target) + SET r += $properties RETURN r - :result:, ) type='DIRECTED' properties={'keywords': '"social critique, consequences"', 'description': '"Scrooge is shown the consequences of Want, reflecting on the impacts of desire and neglect in society."', 'weight': 9.0, 'source_id': 'chunk-02baee20cc9463dbe08170a8e1043e32'}> -2024-10-29 15:29:44,200 - lightrag - INFO - get_edge:query: - MATCH (source:`MARKET-TOWN`)-[r]-(target:`SCROOGE`) + :result:None +2024-10-30 06:48:34,194 - lightrag - INFO - _check_edge_existence:query:MATCH (a:`THE LOW-BROWED SHOP`)-[r]-(b:`THE TOWN`) RETURN COUNT(r) > 0 AS edgeExists:result:True +2024-10-30 06:48:34,326 - lightrag - INFO - get_edge:query: + MATCH (start:`THE LOW-BROWED SHOP`)-[r]->(end:`THE TOWN`) + RETURN properties(r) as edge_properties + LIMIT 1 + :result:{'keywords': '"socioeconomic issues, decay"', 'weight': 7.0, 'description': '"The Low-Browed Shop exists within The Town, reflecting its degradation and the poor conditions of its inhabitants."', 'source_id': 'chunk-f1a4fbcf1ed86864b9bfd5e8dba4c683'} +2024-10-30 06:48:34,455 - lightrag - INFO - _check_node_exists:query:MATCH (n:`THE LOW-BROWED SHOP`) RETURN count(n) > 0 AS node_exists:result:True +2024-10-30 06:48:34,626 - lightrag - INFO - _check_node_exists:query:MATCH (n:`THE TOWN`) RETURN count(n) > 0 AS node_exists:result:True +2024-10-30 06:48:34,808 - lightrag - INFO - _do_upsert_edge:query: + MATCH (source:`THE LOW-BROWED SHOP`) + WITH source + MATCH (target:`THE TOWN`) + MERGE (source)-[r:DIRECTED]->(target) + SET r += $properties RETURN r - :result:, ) type='DIRECTED' properties={'keywords': '"nostalgia, memory"', 'description': '"Scrooge recognizes the Market-Town, eliciting fond memories from his childhood and emphasizing his emotional response to the past."', 'weight': 7.0, 'source_id': 'chunk-bb21d58d36c6306fd8810ddd51c4a971'}> -2024-10-29 15:29:44,293 - lightrag - INFO - get_edge:query: - MATCH (source:`SCROOGE`)-[r]-(target:`SCROOGE'S NIECE`) + :result:None +2024-10-30 06:48:34,991 - lightrag - INFO - _check_edge_existence:query:MATCH (a:`RED-FACED GENTLEMAN`)-[r]-(b:`SCROOGE`) RETURN COUNT(r) > 0 AS edgeExists:result:True +2024-10-30 06:48:35,129 - lightrag - INFO - get_edge:query: + MATCH (start:`RED-FACED GENTLEMAN`)-[r]->(end:`SCROOGE`) + RETURN properties(r) as edge_properties + LIMIT 1 + :result:{'keywords': '"humor, communal context"', 'weight': 6.0, 'description': '"Scrooge observes the conversation of the Red-faced Gentleman, which offers humorous insights into communal attitudes toward death."', 'source_id': 'chunk-f1a4fbcf1ed86864b9bfd5e8dba4c683'} +2024-10-30 06:48:35,264 - lightrag - INFO - _check_node_exists:query:MATCH (n:`RED-FACED GENTLEMAN`) RETURN count(n) > 0 AS node_exists:result:True +2024-10-30 06:48:35,423 - lightrag - INFO - _check_node_exists:query:MATCH (n:`SCROOGE`) RETURN count(n) > 0 AS node_exists:result:True +2024-10-30 06:48:35,605 - lightrag - INFO - _do_upsert_edge:query: + MATCH (source:`RED-FACED GENTLEMAN`) + WITH source + MATCH (target:`SCROOGE`) + MERGE (source)-[r:DIRECTED]->(target) + SET r += $properties RETURN r - :result:, ) type='DIRECTED' properties={'keywords': '"family bonds, celebration""ideological conflict, family dynamics"', 'description': '"Scrooge\'s Niece expresses indignation towards Scrooge\'s belief that Christmas is a humbug, demonstrating her strong opinions against his views.""Scrooge\'s niece embraces the joyful atmosphere of the celebration, engaging with family and inviting good-natured fun."', 'weight': 15.0, 'source_id': 'chunk-773d0df1dd25c356f7b771d780583e09chunk-43c9bee23adfa77aa9dedd22401bba7d'}> -2024-10-29 15:29:44,383 - lightrag - INFO - get_edge:query: - MATCH (source:`FEZZIWIG`)-[r]-(target:`SCROOGE`) + :result:None +2024-10-30 06:48:35,778 - lightrag - INFO - _check_edge_existence:query:MATCH (a:`GENTLEMAN WITH THE EXCRESCENCE`)-[r]-(b:`RED-FACED GENTLEMAN`) RETURN COUNT(r) > 0 AS edgeExists:result:True +2024-10-30 06:48:35,918 - lightrag - INFO - get_edge:query: + MATCH (start:`GENTLEMAN WITH THE EXCRESCENCE`)-[r]->(end:`RED-FACED GENTLEMAN`) + RETURN properties(r) as edge_properties + LIMIT 1 + :result:{'keywords': '"social interaction, humor"', 'weight': 7.0, 'description': '"Both gentlemen engage in light-hearted banter about the funeral, reflecting casual societal norms in their discussion."', 'source_id': 'chunk-f1a4fbcf1ed86864b9bfd5e8dba4c683'} +2024-10-30 06:48:36,047 - lightrag - INFO - _check_node_exists:query:MATCH (n:`GENTLEMAN WITH THE EXCRESCENCE`) RETURN count(n) > 0 AS node_exists:result:True +2024-10-30 06:48:36,213 - lightrag - INFO - _check_node_exists:query:MATCH (n:`RED-FACED GENTLEMAN`) RETURN count(n) > 0 AS node_exists:result:True +2024-10-30 06:48:36,394 - lightrag - INFO - _do_upsert_edge:query: + MATCH (source:`GENTLEMAN WITH THE EXCRESCENCE`) + WITH source + MATCH (target:`RED-FACED GENTLEMAN`) + MERGE (source)-[r:DIRECTED]->(target) + SET r += $properties RETURN r - :result:, ) type='DIRECTED' properties={'keywords': '"kindness, mentorship""reflection, influence"', 'description': '"Scrooge reflects positively on Fezziwig\'s past actions, acknowledging the happiness and gratitude he inspired in people.""Scrooge reminisces about Fezziwig\'s kindness during his apprenticeship, comparing his past self to his current state."', 'weight': 16.0, 'source_id': 'chunk-b2f98bc7abb0c67d4c86055c7fd72218chunk-c6c248858d1b13ab7ee9ca13c1aeed6b'}> -2024-10-29 15:29:44,477 - lightrag - INFO - get_edge:query: - MATCH (source:`SCROOGE`)-[r]-(target:`VALENTINE`) + :result:None +2024-10-30 06:48:36,571 - lightrag - INFO - _check_edge_existence:query:MATCH (a:`SCROOGE`)-[r]-(b:`THE PHANTOM`) RETURN COUNT(r) > 0 AS edgeExists:result:True +2024-10-30 06:48:36,703 - lightrag - INFO - get_edge:query: + MATCH (start:`SCROOGE`)-[r]->(end:`THE PHANTOM`) + RETURN properties(r) as edge_properties + LIMIT 1 + :result:{'keywords': '"guidance, self-reflection"', 'weight': 9.0, 'description': '"Scrooge interacts with the Phantom, which guides him through reflections on his life and future, emphasizing his journey of change."', 'source_id': 'chunk-f1a4fbcf1ed86864b9bfd5e8dba4c683'} +2024-10-30 06:48:36,826 - lightrag - INFO - _check_node_exists:query:MATCH (n:`SCROOGE`) RETURN count(n) > 0 AS node_exists:result:True +2024-10-30 06:48:36,997 - lightrag - INFO - _check_node_exists:query:MATCH (n:`THE PHANTOM`) RETURN count(n) > 0 AS node_exists:result:True +2024-10-30 06:48:37,172 - lightrag - INFO - _do_upsert_edge:query: + MATCH (source:`SCROOGE`) + WITH source + MATCH (target:`THE PHANTOM`) + MERGE (source)-[r:DIRECTED]->(target) + SET r += $properties RETURN r - :result:, ) type='DIRECTED' properties={'keywords': '"family memories, nostalgia"', 'description': '"Scrooge\'s mention of Valentine signifies his memories of familial ties and childhood experiences during Christmas."', 'weight': 6.0, 'source_id': 'chunk-8590d9263cd2cd4fa583c432fc54e6c3'}> -2024-10-29 15:29:44,572 - lightrag - INFO - get_edge:query: - MATCH (source:`CHRISTMAS DAY`)-[r]-(target:`SCROOGE`) + :result:None +2024-10-30 06:48:37,355 - lightrag - INFO - _check_edge_existence:query:MATCH (a:`THE PEOPLE`)-[r]-(b:`THE QUARTER`) RETURN COUNT(r) > 0 AS edgeExists:result:True +2024-10-30 06:48:37,487 - lightrag - INFO - get_edge:query: + MATCH (start:`THE PEOPLE`)-[r]->(end:`THE QUARTER`) + RETURN properties(r) as edge_properties + LIMIT 1 + :result:{'keywords': '"socioeconomic struggle, societal neglect"', 'weight': 9.0, 'description': '"The People inhabit The Quarter, which is characterized by poverty, crime, and a sense of neglect."', 'source_id': 'chunk-f1a4fbcf1ed86864b9bfd5e8dba4c683'} +2024-10-30 06:48:37,616 - lightrag - INFO - _check_node_exists:query:MATCH (n:`THE PEOPLE`) RETURN count(n) > 0 AS node_exists:result:True +2024-10-30 06:48:37,782 - lightrag - INFO - _check_node_exists:query:MATCH (n:`THE QUARTER`) RETURN count(n) > 0 AS node_exists:result:True +2024-10-30 06:48:37,966 - lightrag - INFO - _do_upsert_edge:query: + MATCH (source:`THE PEOPLE`) + WITH source + MATCH (target:`THE QUARTER`) + MERGE (source)-[r:DIRECTED]->(target) + SET r += $properties RETURN r - :result:, ) type='DIRECTED' properties={'keywords': '"seasonal significance, renewal"', 'description': '"Scrooge\'s change in attitude and actions occur on Christmas Day, making it a pivotal event in his story."', 'weight': 9.0, 'source_id': 'chunk-90b95db5c53e4364a6bee36b7aa4d70f'}> -2024-10-29 15:29:44,667 - lightrag - INFO - get_edge:query: - MATCH (source:`MARLEY`)-[r]-(target:`SCROOGE`) + :result:None +2024-10-30 06:48:38,139 - lightrag - INFO - _check_edge_existence:query:MATCH (a:`THE LOW-BROWED SHOP`)-[r]-(b:`THE PEOPLE`) RETURN COUNT(r) > 0 AS edgeExists:result:True +2024-10-30 06:48:38,275 - lightrag - INFO - get_edge:query: + MATCH (start:`THE LOW-BROWED SHOP`)-[r]->(end:`THE PEOPLE`) + RETURN properties(r) as edge_properties + LIMIT 1 + :result:{'keywords': '"desperation, commerce"', 'weight': 8.0, 'description': '"The Low-Browed Shop serves the needs of The People, representing the harsh realities of their lives in the quarter."', 'source_id': 'chunk-f1a4fbcf1ed86864b9bfd5e8dba4c683'} +2024-10-30 06:48:38,409 - lightrag - INFO - _check_node_exists:query:MATCH (n:`THE LOW-BROWED SHOP`) RETURN count(n) > 0 AS node_exists:result:True +2024-10-30 06:48:38,578 - lightrag - INFO - _check_node_exists:query:MATCH (n:`THE PEOPLE`) RETURN count(n) > 0 AS node_exists:result:True +2024-10-30 06:48:38,755 - lightrag - INFO - _do_upsert_edge:query: + MATCH (source:`THE LOW-BROWED SHOP`) + WITH source + MATCH (target:`THE PEOPLE`) + MERGE (source)-[r:DIRECTED]->(target) + SET r += $properties RETURN r - :result:, ) type='DIRECTED' properties={'keywords': '"mourning, partnership""past influence, personal history""redemption, confrontation""supernatural connection, past relationships"', 'description': '"Marley’s influence and past relationship with Scrooge is indicated, suggesting a connection that impacts Scrooge\'s character growth.""Scrooge is deeply affected by Marley\'s death, illustrated through his role as the sole executor and mourner of Marley.""Scrooge reflects on Marley, revealing his past connection and the haunting aspect of Marley\'s death, which influences Scrooge\'s character arc.""Scrooge\'s encounter with Marley’s Ghost serves as a confrontation with his past self and the life choices he regrets, depicting the theme of redemption."', 'weight': 32.0, 'source_id': 'chunk-d9aac3484185ac66045df92214d245d5chunk-843b5b2f944c7413d9ca876e2e2f151fchunk-89777b838d5447c7bd1ec11282c4ee89chunk-9c43dac2fcd5b578242d907ea6f8fc7b'}> -2024-10-29 15:29:44,762 - lightrag - INFO - get_edge:query: - MATCH (source:`SCHOOL`)-[r]-(target:`SCROOGE`) + :result:None +2024-10-30 06:48:38,935 - lightrag - INFO - _check_edge_existence:query:MATCH (a:`OLD SCRATCH`)-[r]-(b:`THE FUNERAL`) RETURN COUNT(r) > 0 AS edgeExists:result:True +2024-10-30 06:48:39,068 - lightrag - INFO - get_edge:query: + MATCH (start:`OLD SCRATCH`)-[r]->(end:`THE FUNERAL`) + RETURN properties(r) as edge_properties + LIMIT 1 + :result:{'keywords': '"morbid humor, societal views"', 'weight': 7.0, 'description': '"The concept of Old Scratch is invoked in the context of discussions about The Funeral, highlighting societal attitudes towards death."', 'source_id': 'chunk-f1a4fbcf1ed86864b9bfd5e8dba4c683'} +2024-10-30 06:48:39,197 - lightrag - INFO - _check_node_exists:query:MATCH (n:`OLD SCRATCH`) RETURN count(n) > 0 AS node_exists:result:True +2024-10-30 06:48:39,364 - lightrag - INFO - _check_node_exists:query:MATCH (n:`THE FUNERAL`) RETURN count(n) > 0 AS node_exists:result:True +2024-10-30 06:48:39,540 - lightrag - INFO - _do_upsert_edge:query: + MATCH (source:`OLD SCRATCH`) + WITH source + MATCH (target:`THE FUNERAL`) + MERGE (source)-[r:DIRECTED]->(target) + SET r += $properties RETURN r - :result:, ) type='DIRECTED' properties={'keywords': '"neglect, formative experiences"', 'description': '"The School serves as a poignant reminder of Scrooge\'s childhood neglect, influencing his character development and emotional barriers."', 'weight': 7.0, 'source_id': 'chunk-bb21d58d36c6306fd8810ddd51c4a971'}> -2024-10-29 15:29:44,858 - lightrag - INFO - get_edge:query: - MATCH (source:`BELLE`)-[r]-(target:`SCROOGE`) + :result:None +2024-10-30 06:48:39,721 - lightrag - INFO - _check_edge_existence:query:MATCH (a:`MRS. DILBER`)-[r]-(b:`OLD JOE`) RETURN COUNT(r) > 0 AS edgeExists:result:True +2024-10-30 06:48:39,855 - lightrag - INFO - get_edge:query: + MATCH (start:`MRS. DILBER`)-[r]->(end:`OLD JOE`) + RETURN properties(r) as edge_properties + LIMIT 1 + :result:{'keywords': '"business interaction, appraisal"', 'weight': 6.0, 'description': '"Old Joe assesses the belongings of Mrs. Dilber, reinforcing his role as an appraiser of stolen goods and demonstrating a tendency to be generous towards women."', 'source_id': 'chunk-60fc063c79fc0d4acc91a57e79de04dc'} +2024-10-30 06:48:39,985 - lightrag - INFO - _check_node_exists:query:MATCH (n:`MRS. DILBER`) RETURN count(n) > 0 AS node_exists:result:True +2024-10-30 06:48:40,152 - lightrag - INFO - _check_node_exists:query:MATCH (n:`OLD JOE`) RETURN count(n) > 0 AS node_exists:result:True +2024-10-30 06:48:40,336 - lightrag - INFO - _do_upsert_edge:query: + MATCH (source:`MRS. DILBER`) + WITH source + MATCH (target:`OLD JOE`) + MERGE (source)-[r:DIRECTED]->(target) + SET r += $properties RETURN r - :result:, ) type='DIRECTED' properties={'keywords': '"lost love, regret"', 'description': '"Scrooge reflects on his lost relationship with Belle, highlighting his feelings of regret and emotional pain."', 'weight': 8.0, 'source_id': 'chunk-da2472b4ef2a535b62908f14d0fb0ca9'}> -2024-10-29 15:29:44,950 - lightrag - INFO - get_edge:query: - MATCH (source:`SCROOGE`)-[r]-(target:`THE CLOCK`) + :result:None +2024-10-30 06:48:40,514 - lightrag - INFO - _check_edge_existence:query:MATCH (a:`MRS. DILBER`)-[r]-(b:`THE WOMAN`) RETURN COUNT(r) > 0 AS edgeExists:result:True +2024-10-30 06:48:40,645 - lightrag - INFO - get_edge:query: + MATCH (start:`MRS. DILBER`)-[r]->(end:`THE WOMAN`) + RETURN properties(r) as edge_properties + LIMIT 1 + :result:{'keywords': '"moral discussion, camaraderie"', 'weight': 5.0, 'description': '"Mrs. Dilber and The Woman share a conversational dynamic that touches on the moral implications of their actions, creating a camaraderie as they discuss the deceased."', 'source_id': 'chunk-60fc063c79fc0d4acc91a57e79de04dc'} +2024-10-30 06:48:40,777 - lightrag - INFO - _check_node_exists:query:MATCH (n:`MRS. DILBER`) RETURN count(n) > 0 AS node_exists:result:True +2024-10-30 06:48:40,953 - lightrag - INFO - _check_node_exists:query:MATCH (n:`THE WOMAN`) RETURN count(n) > 0 AS node_exists:result:True +2024-10-30 06:48:41,135 - lightrag - INFO - _do_upsert_edge:query: + MATCH (source:`MRS. DILBER`) + WITH source + MATCH (target:`THE WOMAN`) + MERGE (source)-[r:DIRECTED]->(target) + SET r += $properties RETURN r - :result:, ) type='DIRECTED' properties={'keywords': '"time distortion, confusion"', 'description': '"Scrooge\'s interaction with the faulty clock symbolizes his disconnection from time and reality, as he struggles to comprehend his experiences."', 'weight': 6.0, 'source_id': 'chunk-cb661c37436355ccec2769b1d0350c5f'}> -2024-10-29 15:29:45,040 - lightrag - INFO - get_edge:query: - MATCH (source:`SCROOGE`)-[r]-(target:`SUNDAY CLOTHES BOY`) + :result:None +2024-10-30 06:48:41,318 - lightrag - INFO - _check_edge_existence:query:MATCH (a:`OLD JOE`)-[r]-(b:`THE WOMAN`) RETURN COUNT(r) > 0 AS edgeExists:result:True +2024-10-30 06:48:41,460 - lightrag - INFO - get_edge:query: + MATCH (start:`OLD JOE`)-[r]->(end:`THE WOMAN`) + RETURN properties(r) as edge_properties + LIMIT 1 + :result:{'keywords': '"business interaction, appraisal"', 'weight': 7.0, 'description': '"Old Joe interacts with The Woman as she encourages him to evaluate her stolen bundle, indicating a business-like relationship based on appraisal and exchange."', 'source_id': 'chunk-60fc063c79fc0d4acc91a57e79de04dc'} +2024-10-30 06:48:41,589 - lightrag - INFO - _check_node_exists:query:MATCH (n:`OLD JOE`) RETURN count(n) > 0 AS node_exists:result:True +2024-10-30 06:48:41,751 - lightrag - INFO - _check_node_exists:query:MATCH (n:`THE WOMAN`) RETURN count(n) > 0 AS node_exists:result:True +2024-10-30 06:48:41,938 - lightrag - INFO - _do_upsert_edge:query: + MATCH (source:`OLD JOE`) + WITH source + MATCH (target:`THE WOMAN`) + MERGE (source)-[r:DIRECTED]->(target) + SET r += $properties RETURN r - :result:, ) type='DIRECTED' properties={'keywords': '"kindness, generosity"', 'description': '"Scrooge\'s interaction with the Sunday Clothes Boy highlights his evolving attitude towards generosity and kindness."', 'weight': 7.0, 'source_id': 'chunk-90b95db5c53e4364a6bee36b7aa4d70f'}> -2024-10-29 15:29:45,133 - lightrag - INFO - get_edge:query: - MATCH (source:`CHRISTMAS`)-[r]-(target:`FIGS`) + :result:None +2024-10-30 06:48:42,114 - lightrag - INFO - _check_edge_existence:query:MATCH (a:`THE MAN IN FADED BLACK`)-[r]-(b:`THE WOMAN`) RETURN COUNT(r) > 0 AS edgeExists:result:True +2024-10-30 06:48:42,248 - lightrag - INFO - get_edge:query: + MATCH (start:`THE MAN IN FADED BLACK`)-[r]->(end:`THE WOMAN`) + RETURN properties(r) as edge_properties + LIMIT 1 + :result:{'keywords': '"shared activity, community"', 'weight': 5.0, 'description': '"The Man in Faded Black shares his modest plunder with The Woman, building a sense of community among the characters involved."', 'source_id': 'chunk-60fc063c79fc0d4acc91a57e79de04dc'} +2024-10-30 06:48:42,376 - lightrag - INFO - _check_node_exists:query:MATCH (n:`THE MAN IN FADED BLACK`) RETURN count(n) > 0 AS node_exists:result:True +2024-10-30 06:48:42,534 - lightrag - INFO - _check_node_exists:query:MATCH (n:`THE WOMAN`) RETURN count(n) > 0 AS node_exists:result:True +2024-10-30 06:48:42,709 - lightrag - INFO - _do_upsert_edge:query: + MATCH (source:`THE MAN IN FADED BLACK`) + WITH source + MATCH (target:`THE WOMAN`) + MERGE (source)-[r:DIRECTED]->(target) + SET r += $properties RETURN r - :result:, ) type='DIRECTED' properties={'keywords': '"seasonal offerings, festive foods"', 'description': '"Figs are highlighted among the festive foods offered during Christmas, enhancing markets."', 'weight': 6.0, 'source_id': 'chunk-99b0ec7f7e006561352b5d65e849611d'}> -2024-10-29 15:29:45,226 - lightrag - INFO - get_edge:query: - MATCH (source:`IGNORANCE`)-[r]-(target:`SCROOGE`) + :result:None +2024-10-30 06:48:42,882 - lightrag - INFO - _check_edge_existence:query:MATCH (a:`OLD JOE`)-[r]-(b:`THE GATHERING`) RETURN COUNT(r) > 0 AS edgeExists:result:True +2024-10-30 06:48:43,016 - lightrag - INFO - get_edge:query: + MATCH (start:`OLD JOE`)-[r]->(end:`THE GATHERING`) + RETURN properties(r) as edge_properties + LIMIT 1 + :result:{'keywords': '"facilitation, social dynamics"', 'weight': 9.0, 'description': '"Old Joe facilitates The Gathering by appraising the items brought by each character, serving as a focal point for their interactions."', 'source_id': 'chunk-60fc063c79fc0d4acc91a57e79de04dc'} +2024-10-30 06:48:43,139 - lightrag - INFO - _check_node_exists:query:MATCH (n:`OLD JOE`) RETURN count(n) > 0 AS node_exists:result:True +2024-10-30 06:48:43,302 - lightrag - INFO - _check_node_exists:query:MATCH (n:`THE GATHERING`) RETURN count(n) > 0 AS node_exists:result:True +2024-10-30 06:48:43,484 - lightrag - INFO - _do_upsert_edge:query: + MATCH (source:`OLD JOE`) + WITH source + MATCH (target:`THE GATHERING`) + MERGE (source)-[r:DIRECTED]->(target) + SET r += $properties RETURN r - :result:, ) type='DIRECTED' properties={'keywords': '"social awareness, warning"', 'description': '"Scrooge is warned about the dangers posed by Ignorance, which embodies significant societal issues he has ignored."', 'weight': 9.0, 'source_id': 'chunk-02baee20cc9463dbe08170a8e1043e32'}> -2024-10-29 15:29:45,318 - lightrag - INFO - get_edge:query: - MATCH (source:`A CHRISTMAS CAROL`)-[r]-(target:`ARTHUR RACKHAM`) + :result:None +2024-10-30 06:48:43,658 - lightrag - INFO - _check_edge_existence:query:MATCH (a:`SCROOGE`)-[r]-(b:`THE DECEASED MAN`) RETURN COUNT(r) > 0 AS edgeExists:result:True +2024-10-30 06:48:43,792 - lightrag - INFO - get_edge:query: + MATCH (start:`SCROOGE`)-[r]->(end:`THE DECEASED MAN`) + RETURN properties(r) as edge_properties + LIMIT 1 + :result:{'keywords': '"moral reflection, consequence"', 'weight': 9.0, 'description': '"Scrooge reflects on the life and death of The Deceased Man, prompting introspection about his own life choices."', 'source_id': 'chunk-e1f29eeadc1d8ab46dc8a0bbd3c56b64'} +2024-10-30 06:48:43,914 - lightrag - INFO - _check_node_exists:query:MATCH (n:`SCROOGE`) RETURN count(n) > 0 AS node_exists:result:True +2024-10-30 06:48:44,087 - lightrag - INFO - _check_node_exists:query:MATCH (n:`THE DECEASED MAN`) RETURN count(n) > 0 AS node_exists:result:True +2024-10-30 06:48:44,263 - lightrag - INFO - _do_upsert_edge:query: + MATCH (source:`SCROOGE`) + WITH source + MATCH (target:`THE DECEASED MAN`) + MERGE (source)-[r:DIRECTED]->(target) + SET r += $properties RETURN r - :result:, ) type='DIRECTED' properties={'keywords': '"illustration, artistic contribution"', 'description': '"Arthur Rackham illustrated A Christmas Carol, enhancing the visual experience of Dickens\' narrative."', 'weight': 8.0, 'source_id': 'chunk-9e3921da66da5d761ab73cd849af6c43'}> -2024-10-29 15:29:45,410 - lightrag - INFO - get_edge:query: - MATCH (source:`LONDON`)-[r]-(target:`SCROOGE`) + :result:None +2024-10-30 06:48:44,445 - lightrag - INFO - _check_edge_existence:query:MATCH (a:`JOE`)-[r]-(b:`SCROOGE`) RETURN COUNT(r) > 0 AS edgeExists:result:True +2024-10-30 06:48:44,575 - lightrag - INFO - get_edge:query: + MATCH (start:`JOE`)-[r]->(end:`SCROOGE`) + RETURN properties(r) as edge_properties + LIMIT 1 + :result:{'keywords': '"perspective contrast, moral dilemma"', 'weight': 6.0, 'description': '"Joe\'s cynical attitude towards death and belongings contrasts with Scrooge\'s moral horror, creating a tension between their perspectives."', 'source_id': 'chunk-e1f29eeadc1d8ab46dc8a0bbd3c56b64'} +2024-10-30 06:48:44,698 - lightrag - INFO - _check_node_exists:query:MATCH (n:`JOE`) RETURN count(n) > 0 AS node_exists:result:True +2024-10-30 06:48:44,852 - lightrag - INFO - _check_node_exists:query:MATCH (n:`SCROOGE`) RETURN count(n) > 0 AS node_exists:result:True +2024-10-30 06:48:45,029 - lightrag - INFO - _do_upsert_edge:query: + MATCH (source:`JOE`) + WITH source + MATCH (target:`SCROOGE`) + MERGE (source)-[r:DIRECTED]->(target) + SET r += $properties RETURN r - :result:, ) type='DIRECTED' properties={'keywords': '"setting, seasonal context""setting, transformation"', 'description': '"London as the setting contextualizes Scrooge\'s experiences and transformations regarding Christmas celebrations.""Scrooge\'s experiences reflect the larger context of life in London during the festive season, emphasizing the mood of the city at that time."', 'weight': 12.0, 'source_id': 'chunk-d9aac3484185ac66045df92214d245d5chunk-43c9bee23adfa77aa9dedd22401bba7d'}> -2024-10-29 15:29:45,505 - lightrag - INFO - get_edge:query: - MATCH (source:`JOE`)-[r]-(target:`THE DECEASED`) + :result:None +2024-10-30 06:48:45,204 - lightrag - INFO - _check_edge_existence:query:MATCH (a:`DEATH`)-[r]-(b:`THE BED`) RETURN COUNT(r) > 0 AS edgeExists:result:True +2024-10-30 06:48:45,339 - lightrag - INFO - get_edge:query: + MATCH (start:`DEATH`)-[r]->(end:`THE BED`) + RETURN properties(r) as edge_properties + LIMIT 1 + :result:{'keywords': '"finality, mortality"', 'weight': 8.0, 'description': '"Death is inherently linked to The Bed as the resting place of the deceased, symbolizing the finality of life and the legacy left behind."', 'source_id': 'chunk-e1f29eeadc1d8ab46dc8a0bbd3c56b64'} +2024-10-30 06:48:45,473 - lightrag - INFO - _check_node_exists:query:MATCH (n:`DEATH`) RETURN count(n) > 0 AS node_exists:result:True +2024-10-30 06:48:45,643 - lightrag - INFO - _check_node_exists:query:MATCH (n:`THE BED`) RETURN count(n) > 0 AS node_exists:result:True +2024-10-30 06:48:45,818 - lightrag - INFO - _do_upsert_edge:query: + MATCH (source:`DEATH`) + WITH source + MATCH (target:`THE BED`) + MERGE (source)-[r:DIRECTED]->(target) + SET r += $properties RETURN r - :result:, ) type='DIRECTED' properties={'keywords': '"materialism, death"', 'description': '"Joe discusses the belongings and implications of The Deceased\'s life, indicating a financial and material relationship with the dead."', 'weight': 5.0, 'source_id': 'chunk-e1f29eeadc1d8ab46dc8a0bbd3c56b64'}> -2024-10-29 15:29:45,599 - lightrag - INFO - get_edge:query: - MATCH (source:`FRED`)-[r]-(target:`SCROOGE`) + :result:None +2024-10-30 06:48:45,994 - lightrag - INFO - _check_edge_existence:query:MATCH (a:`THE BUNDLE`)-[r]-(b:`THE DECEASED MAN`) RETURN COUNT(r) > 0 AS edgeExists:result:True +2024-10-30 06:48:46,123 - lightrag - INFO - get_edge:query: + MATCH (start:`THE BUNDLE`)-[r]->(end:`THE DECEASED MAN`) + RETURN properties(r) as edge_properties + LIMIT 1 + :result:{'keywords': '"material legacy, value"', 'weight': 7.0, 'description': '"The Bundle contains the belongings that once belonged to The Deceased Man, illustrating the material value placed on his life after death."', 'source_id': 'chunk-e1f29eeadc1d8ab46dc8a0bbd3c56b64'} +2024-10-30 06:48:46,251 - lightrag - INFO - _check_node_exists:query:MATCH (n:`THE BUNDLE`) RETURN count(n) > 0 AS node_exists:result:True +2024-10-30 06:48:46,424 - lightrag - INFO - _check_node_exists:query:MATCH (n:`THE DECEASED MAN`) RETURN count(n) > 0 AS node_exists:result:True +2024-10-30 06:48:46,601 - lightrag - INFO - _do_upsert_edge:query: + MATCH (source:`THE BUNDLE`) + WITH source + MATCH (target:`THE DECEASED MAN`) + MERGE (source)-[r:DIRECTED]->(target) + SET r += $properties RETURN r - :result:, ) type='DIRECTED' properties={'keywords': '"family connection, goodwill""family connection, reconciliation""family, transformation""rejection, familial dynamics"', 'description': '"Scrooge and Fred share a familial bond, with Fred expressing goodwill and celebrating Scrooge despite his uncle\'s previous behavior.""Scrooge expresses a desire to visit Fred, which signifies a reconciliatory gesture toward his family.""Scrooge surprises Fred with his unexpected visit, indicating a shift in their familial relationship and Scrooge\'s attitude toward family.""Scrooge\'s interaction with Fred emphasizes his rejection of familial warmth during the Christmas season."', 'weight': 30.0, 'source_id': 'chunk-8f738cb25d60a7dab782162d9d0a25edchunk-94bea83e7153fc2064aa382b494936a1chunk-89777b838d5447c7bd1ec11282c4ee89chunk-e7637ff18c5ded77a68cce0a87883fad'}> -2024-10-29 15:29:45,691 - lightrag - INFO - get_edge:query: - MATCH (source:`FOG`)-[r]-(target:`SCROOGE`) + :result:None +2024-10-30 06:48:46,775 - lightrag - INFO - _check_edge_existence:query:MATCH (a:`THE BLANKETS`)-[r]-(b:`THE CORPSE`) RETURN COUNT(r) > 0 AS edgeExists:result:True +2024-10-30 06:48:46,905 - lightrag - INFO - get_edge:query: + MATCH (start:`THE BLANKETS`)-[r]->(end:`THE CORPSE`) + RETURN properties(r) as edge_properties + LIMIT 1 + :result:{'keywords': '"care, human connection"', 'weight': 8.0, 'description': '"The Blankets are directly associated with The Corpse, indicating the human connections and care traditionally shown to the dead."', 'source_id': 'chunk-e1f29eeadc1d8ab46dc8a0bbd3c56b64'} +2024-10-30 06:48:47,033 - lightrag - INFO - _check_node_exists:query:MATCH (n:`THE BLANKETS`) RETURN count(n) > 0 AS node_exists:result:True +2024-10-30 06:48:47,203 - lightrag - INFO - _check_node_exists:query:MATCH (n:`THE CORPSE`) RETURN count(n) > 0 AS node_exists:result:True +2024-10-30 06:48:47,382 - lightrag - INFO - _do_upsert_edge:query: + MATCH (source:`THE BLANKETS`) + WITH source + MATCH (target:`THE CORPSE`) + MERGE (source)-[r:DIRECTED]->(target) + SET r += $properties RETURN r - :result:, ) type='DIRECTED' properties={'keywords': '"atmosphere, emotional reflection"', 'description': '"Fog represents the obscured vision of Scrooge\'s soul and emotions, aligning with his unknowable nature."', 'weight': 8.0, 'source_id': 'chunk-d9aac3484185ac66045df92214d245d5'}> -2024-10-29 15:29:45,787 - lightrag - INFO - get_edge:query: - MATCH (source:`CHRISTMAS`)-[r]-(target:`TURKEYS`) + :result:None +2024-10-30 06:48:47,555 - lightrag - INFO - _check_edge_existence:query:MATCH (a:`THE BLANKET`)-[r]-(b:`THE OIL`) RETURN COUNT(r) > 0 AS edgeExists:result:True +2024-10-30 06:48:47,684 - lightrag - INFO - get_edge:query: + MATCH (start:`THE BLANKET`)-[r]->(end:`THE OIL`) + RETURN properties(r) as edge_properties + LIMIT 1 + :result:{'keywords': '"materialism, carelessness"', 'weight': 6.0, 'description': '"The Oil’s presence suggests a practical yet insensitive attitude towards the care of The Blanket and the deceased."', 'source_id': 'chunk-e1f29eeadc1d8ab46dc8a0bbd3c56b64'} +2024-10-30 06:48:47,811 - lightrag - INFO - _check_node_exists:query:MATCH (n:`THE BLANKET`) RETURN count(n) > 0 AS node_exists:result:True +2024-10-30 06:48:47,986 - lightrag - INFO - _check_node_exists:query:MATCH (n:`THE OIL`) RETURN count(n) > 0 AS node_exists:result:True +2024-10-30 06:48:48,164 - lightrag - INFO - _do_upsert_edge:query: + MATCH (source:`THE BLANKET`) + WITH source + MATCH (target:`THE OIL`) + MERGE (source)-[r:DIRECTED]->(target) + SET r += $properties RETURN r - :result:, ) type='DIRECTED' properties={'keywords': '"culinary tradition, celebration"', 'description': '"Turkeys are a traditional dish served during Christmas, contributing to the celebratory meal."', 'weight': 9.0, 'source_id': 'chunk-99b0ec7f7e006561352b5d65e849611d'}> -2024-10-29 15:29:45,884 - lightrag - INFO - get_edge:query: - MATCH (source:`SCROOGE`)-[r]-(target:`THE KNOCKER`) + :result:None +2024-10-30 06:48:48,342 - lightrag - INFO - _check_edge_existence:query:MATCH (a:`SCROOGE`)-[r]-(b:`THE CORPSE`) RETURN COUNT(r) > 0 AS edgeExists:result:True +2024-10-30 06:48:48,474 - lightrag - INFO - get_edge:query: + MATCH (start:`SCROOGE`)-[r]->(end:`THE CORPSE`) + RETURN properties(r) as edge_properties + LIMIT 1 + :result:{'keywords': '"introspection, life choices"', 'weight': 9.0, 'description': '"Scrooge’s horror upon seeing The Corpse prompts deep reflection on his own life choices and morality."', 'source_id': 'chunk-e1f29eeadc1d8ab46dc8a0bbd3c56b64'} +2024-10-30 06:48:48,591 - lightrag - INFO - _check_node_exists:query:MATCH (n:`SCROOGE`) RETURN count(n) > 0 AS node_exists:result:True +2024-10-30 06:48:48,757 - lightrag - INFO - _check_node_exists:query:MATCH (n:`THE CORPSE`) RETURN count(n) > 0 AS node_exists:result:True +2024-10-30 06:48:48,934 - lightrag - INFO - _do_upsert_edge:query: + MATCH (source:`SCROOGE`) + WITH source + MATCH (target:`THE CORPSE`) + MERGE (source)-[r:DIRECTED]->(target) + SET r += $properties RETURN r - :result:, ) type='DIRECTED' properties={'keywords': '"appreciation, transformation""symbolism, transformation"', 'description': '"Scrooge admires the knocker at his door, marking a positive change in his attitude towards life and surroundings.""The Knocker, transforming into Marley\'s face, symbolizes Scrooge\'s ghostly past and impending redemption challenges."', 'weight': 15.0, 'source_id': 'chunk-d9aac3484185ac66045df92214d245d5chunk-8f738cb25d60a7dab782162d9d0a25ed'}> -2024-10-29 15:29:45,979 - lightrag - INFO - get_edge:query: - MATCH (source:`CHRISTMAS`)-[r]-(target:`FRENCH PLUMS`) + :result:None +2024-10-30 06:48:49,108 - lightrag - INFO - _check_edge_existence:query:MATCH (a:`BOB CRATCHIT`)-[r]-(b:`CAROLINE`) RETURN COUNT(r) > 0 AS edgeExists:result:True +2024-10-30 06:48:49,239 - lightrag - INFO - get_edge:query: + MATCH (start:`BOB CRATCHIT`)-[r]->(end:`CAROLINE`) + RETURN properties(r) as edge_properties + LIMIT 1 + :result:{'keywords': '"hope, financial strain"', 'weight': 7.0, 'description': '"Caroline expresses hope combined with anxiety regarding their financial situation, affecting her relationship with Bob Cratchit."', 'source_id': 'chunk-83ac129dc9b56f84c46760d153d68e93'} +2024-10-30 06:48:49,369 - lightrag - INFO - _check_node_exists:query:MATCH (n:`BOB CRATCHIT`) RETURN count(n) > 0 AS node_exists:result:True +2024-10-30 06:48:49,537 - lightrag - INFO - _check_node_exists:query:MATCH (n:`CAROLINE`) RETURN count(n) > 0 AS node_exists:result:True +2024-10-30 06:48:49,711 - lightrag - INFO - _do_upsert_edge:query: + MATCH (source:`BOB CRATCHIT`) + WITH source + MATCH (target:`CAROLINE`) + MERGE (source)-[r:DIRECTED]->(target) + SET r += $properties RETURN r - :result:, ) type='DIRECTED' properties={'keywords': '"seasonal offerings, festive foods"', 'description': '"French Plums are included in the festive offerings, creating a rich holiday atmosphere."', 'weight': 6.0, 'source_id': 'chunk-99b0ec7f7e006561352b5d65e849611d'}> -2024-10-29 15:29:46,071 - lightrag - INFO - get_edge:query: - MATCH (source:`CHRISTMAS-TIME`)-[r]-(target:`SCROOGE`) + :result:None +2024-10-30 06:48:49,887 - lightrag - INFO - _check_edge_existence:query:MATCH (a:`SPIRIT`)-[r]-(b:`THE EVENT OF DEATH`) RETURN COUNT(r) > 0 AS edgeExists:result:True +2024-10-30 06:48:50,017 - lightrag - INFO - get_edge:query: + MATCH (start:`SPIRIT`)-[r]->(end:`THE EVENT OF DEATH`) + RETURN properties(r) as edge_properties + LIMIT 1 + :result:{'keywords': '"emotional impact, mortality"', 'weight': 8.0, 'description': '"The Spirit highlights the emotional repercussions of The Event of Death, demonstrating the profound effects on those left behind."', 'source_id': 'chunk-83ac129dc9b56f84c46760d153d68e93'} +2024-10-30 06:48:50,138 - lightrag - INFO - _check_node_exists:query:MATCH (n:`SPIRIT`) RETURN count(n) > 0 AS node_exists:result:True +2024-10-30 06:48:50,305 - lightrag - INFO - _check_node_exists:query:MATCH (n:`THE EVENT OF DEATH`) RETURN count(n) > 0 AS node_exists:result:True +2024-10-30 06:48:50,484 - lightrag - INFO - _do_upsert_edge:query: + MATCH (source:`SPIRIT`) + WITH source + MATCH (target:`THE EVENT OF DEATH`) + MERGE (source)-[r:DIRECTED]->(target) + SET r += $properties RETURN r - :result:, ) type='DIRECTED' properties={'keywords': '"cynicism, holiday spirit conflict"', 'description': '"Scrooge views Christmas-time as a burden rather than a celebration, contrasting with the feelings of others around him."', 'weight': 9.0, 'source_id': 'chunk-5dac41b3f9eeaf794f0147400b1718cd'}> -2024-10-29 15:29:46,163 - lightrag - INFO - get_edge:query: - MATCH (source:`SCROOGE`)-[r]-(target:`THE DECEASED`) + :result:None +2024-10-30 06:48:50,661 - lightrag - INFO - _check_edge_existence:query:MATCH (a:`SCROOGE`)-[r]-(b:`THE CRATCHIT HOUSE`) RETURN COUNT(r) > 0 AS edgeExists:result:True +2024-10-30 06:48:50,787 - lightrag - INFO - get_edge:query: + MATCH (start:`SCROOGE`)-[r]->(end:`THE CRATCHIT HOUSE`) + RETURN properties(r) as edge_properties + LIMIT 1 + :result:{'keywords': '"compassion, familial connection"', 'weight': 9.0, 'description': '"Scrooge\'s reflections in The Cratchit House illustrate his evolving understanding of compassion and connection to others."', 'source_id': 'chunk-83ac129dc9b56f84c46760d153d68e93'} +2024-10-30 06:48:50,903 - lightrag - INFO - _check_node_exists:query:MATCH (n:`SCROOGE`) RETURN count(n) > 0 AS node_exists:result:True +2024-10-30 06:48:51,069 - lightrag - INFO - _check_node_exists:query:MATCH (n:`THE CRATCHIT HOUSE`) RETURN count(n) > 0 AS node_exists:result:True +2024-10-30 06:48:51,250 - lightrag - INFO - _do_upsert_edge:query: + MATCH (source:`SCROOGE`) + WITH source + MATCH (target:`THE CRATCHIT HOUSE`) + MERGE (source)-[r:DIRECTED]->(target) + SET r += $properties RETURN r - :result:, ) type='DIRECTED' properties={'keywords': '"reflection, mortality"', 'description': '"Scrooge reflects on the condition and life of The Deceased, equating his own life with the man\'s fate, indicating a profound contemplation of mortality."', 'weight': 8.0, 'source_id': 'chunk-e1f29eeadc1d8ab46dc8a0bbd3c56b64'}> -2024-10-29 15:29:46,257 - lightrag - INFO - get_edge:query: - MATCH (source:`SCROOGE`)-[r]-(target:`THE FUNERAL`) + :result:None +2024-10-30 06:48:51,433 - lightrag - INFO - _check_edge_existence:query:MATCH (a:`THE HUSBAND`)-[r]-(b:`THE MOTHER`) RETURN COUNT(r) > 0 AS edgeExists:result:True +2024-10-30 06:48:51,568 - lightrag - INFO - get_edge:query: + MATCH (start:`THE HUSBAND`)-[r]->(end:`THE MOTHER`) + RETURN properties(r) as edge_properties + LIMIT 1 + :result:{'keywords': '"marital dynamics, emotional strain"', 'weight': 8.0, 'description': '"The Mother expresses anxiety and eagerness as she interacts with her husband, showcasing the emotional strain caused by uncertainty."', 'source_id': 'chunk-83ac129dc9b56f84c46760d153d68e93'} +2024-10-30 06:48:51,699 - lightrag - INFO - _check_node_exists:query:MATCH (n:`THE HUSBAND`) RETURN count(n) > 0 AS node_exists:result:True +2024-10-30 06:48:51,858 - lightrag - INFO - _check_node_exists:query:MATCH (n:`THE MOTHER`) RETURN count(n) > 0 AS node_exists:result:True +2024-10-30 06:48:52,034 - lightrag - INFO - _do_upsert_edge:query: + MATCH (source:`THE HUSBAND`) + WITH source + MATCH (target:`THE MOTHER`) + MERGE (source)-[r:DIRECTED]->(target) + SET r += $properties RETURN r - :result:, ) type='DIRECTED' properties={'keywords': '"business, emotional detachment"', 'description': '"Scrooge treats The Funeral as a business transaction, showing his cold approach to personal loss and death."', 'weight': 7.0, 'source_id': 'chunk-89777b838d5447c7bd1ec11282c4ee89'}> -2024-10-29 15:29:46,358 - lightrag - INFO - get_edge:query: - MATCH (source:`SCROOGE`)-[r]-(target:`SCROOGE'S NEPHEW`) + :result:None +2024-10-30 06:48:52,209 - lightrag - INFO - _check_edge_existence:query:MATCH (a:`CAROLINE`)-[r]-(b:`THE HUSBAND`) RETURN COUNT(r) > 0 AS edgeExists:result:True +2024-10-30 06:48:52,343 - lightrag - INFO - get_edge:query: + MATCH (start:`CAROLINE`)-[r]->(end:`THE HUSBAND`) + RETURN properties(r) as edge_properties + LIMIT 1 + :result:{'keywords': '"communication, emotional burden"', 'weight': 7.0, 'description': '"The Husband and Caroline\'s conversation illustrates the tension between optimism and the reality of their situation after receiving distressing news."', 'source_id': 'chunk-83ac129dc9b56f84c46760d153d68e93'} +2024-10-30 06:48:52,475 - lightrag - INFO - _check_node_exists:query:MATCH (n:`CAROLINE`) RETURN count(n) > 0 AS node_exists:result:True +2024-10-30 06:48:52,646 - lightrag - INFO - _check_node_exists:query:MATCH (n:`THE HUSBAND`) RETURN count(n) > 0 AS node_exists:result:True +2024-10-30 06:48:52,820 - lightrag - INFO - _do_upsert_edge:query: + MATCH (source:`CAROLINE`) + WITH source + MATCH (target:`THE HUSBAND`) + MERGE (source)-[r:DIRECTED]->(target) + SET r += $properties RETURN r - :result:, ) type='DIRECTED' properties={'keywords': '"family conflict, differing perspectives""family dynamics, contrasting views""family dynamics, opposing views"', 'description': '"Scrooge\'s Nephew contrasts with Scrooge, advocating for merriment and showing pity for his uncle\'s ill tempers.""Scrooge\'s Nephew tries to cheer Scrooge up and promote the joy of Christmas, but is met with rejection and negativity.""Scrooge\'s Nephew tries to convince Scrooge of the joys of Christmas, illustrating the conflict between their differing views on the holiday."', 'weight': 24.0, 'source_id': 'chunk-773d0df1dd25c356f7b771d780583e09chunk-74e2466de2f67fd710ef2f20c0a8d9e0chunk-5dac41b3f9eeaf794f0147400b1718cd'}> -2024-10-29 15:29:46,449 - lightrag - INFO - get_edge:query: - MATCH (source:`SCROOGE`)-[r]-(target:`SHADOW OF HIMSELF`) + :result:None +2024-10-30 06:48:52,994 - lightrag - INFO - _check_edge_existence:query:MATCH (a:`PETER`)-[r]-(b:`THE CHILDREN`) RETURN COUNT(r) > 0 AS edgeExists:result:True +2024-10-30 06:48:53,126 - lightrag - INFO - get_edge:query: + MATCH (start:`PETER`)-[r]->(end:`THE CHILDREN`) + RETURN properties(r) as edge_properties + LIMIT 1 + :result:{'keywords': '"leadership, sibling dynamics"', 'weight': 6.0, 'description': '"Peter acts as a stabilizing force among The Children, leading them in moments of uncertainty and representing familial responsibility."', 'source_id': 'chunk-83ac129dc9b56f84c46760d153d68e93'} +2024-10-30 06:48:53,255 - lightrag - INFO - _check_node_exists:query:MATCH (n:`PETER`) RETURN count(n) > 0 AS node_exists:result:True +2024-10-30 06:48:53,414 - lightrag - INFO - _check_node_exists:query:MATCH (n:`THE CHILDREN`) RETURN count(n) > 0 AS node_exists:result:True +2024-10-30 06:48:53,596 - lightrag - INFO - _do_upsert_edge:query: + MATCH (source:`PETER`) + WITH source + MATCH (target:`THE CHILDREN`) + MERGE (source)-[r:DIRECTED]->(target) + SET r += $properties RETURN r - :result:, ) type='DIRECTED' properties={'keywords': '"introspection, personal growth"', 'description': '"Scrooge hopes to learn from the Shadow of Himself, signifying his desire for personal growth and understanding of his life choices."', 'weight': 9.0, 'source_id': 'chunk-f1a4fbcf1ed86864b9bfd5e8dba4c683'}> -2024-10-29 15:29:46,545 - lightrag - INFO - get_edge:query: - MATCH (source:`SCROOGE`)-[r]-(target:`THE PRESENT`) + :result:None +2024-10-30 06:48:53,771 - lightrag - INFO - _check_edge_existence:query:MATCH (a:`THE CRATCHIT HOUSE`)-[r]-(b:`THE DEBT`) RETURN COUNT(r) > 0 AS edgeExists:result:True +2024-10-30 06:48:53,904 - lightrag - INFO - get_edge:query: + MATCH (start:`THE CRATCHIT HOUSE`)-[r]->(end:`THE DEBT`) + RETURN properties(r) as edge_properties + LIMIT 1 + :result:{'keywords': '"financial burden, atmosphere"', 'weight': 9.0, 'description': '"The Debt looms over The Cratchit House, contributing to the emotional atmosphere and fears of its inhabitants during the story."', 'source_id': 'chunk-83ac129dc9b56f84c46760d153d68e93'} +2024-10-30 06:48:54,033 - lightrag - INFO - _check_node_exists:query:MATCH (n:`THE CRATCHIT HOUSE`) RETURN count(n) > 0 AS node_exists:result:True +2024-10-30 06:48:54,202 - lightrag - INFO - _check_node_exists:query:MATCH (n:`THE DEBT`) RETURN count(n) > 0 AS node_exists:result:True +2024-10-30 06:48:54,385 - lightrag - INFO - _do_upsert_edge:query: + MATCH (source:`THE CRATCHIT HOUSE`) + WITH source + MATCH (target:`THE DEBT`) + MERGE (source)-[r:DIRECTED]->(target) + SET r += $properties RETURN r - :result:, ) type='DIRECTED' properties={'keywords': '"change, awareness"', 'description': '"Scrooge emphasizes the importance of living fully in The Present to change his fate going forward."', 'weight': 9.0, 'source_id': 'chunk-91572b3cd42786ba4cb2f180ca25cbf4'}> -2024-10-29 15:29:46,641 - lightrag - INFO - get_edge:query: - MATCH (source:`SCROOGE`)-[r]-(target:`THE SITTING ROOM`) + :result:None +2024-10-30 06:48:54,565 - lightrag - INFO - _check_edge_existence:query:MATCH (a:`CAROLINE`)-[r]-(b:`HOPE`) RETURN COUNT(r) > 0 AS edgeExists:result:True +2024-10-30 06:48:54,698 - lightrag - INFO - get_edge:query: + MATCH (start:`CAROLINE`)-[r]->(end:`HOPE`) + RETURN properties(r) as edge_properties + LIMIT 1 + :result:{'keywords': '"emotional resilience, motivation"', 'weight': 8.0, 'description': '"Hope influences Caroline\'s reactions and actions throughout the story, serving as both a motivator and a source of inner conflict."', 'source_id': 'chunk-83ac129dc9b56f84c46760d153d68e93'} +2024-10-30 06:48:54,822 - lightrag - INFO - _check_node_exists:query:MATCH (n:`CAROLINE`) RETURN count(n) > 0 AS node_exists:result:True +2024-10-30 06:48:54,992 - lightrag - INFO - _check_node_exists:query:MATCH (n:`HOPE`) RETURN count(n) > 0 AS node_exists:result:True +2024-10-30 06:48:55,178 - lightrag - INFO - _do_upsert_edge:query: + MATCH (source:`CAROLINE`) + WITH source + MATCH (target:`HOPE`) + MERGE (source)-[r:DIRECTED]->(target) + SET r += $properties RETURN r - :result:, ) type='DIRECTED' properties={'keywords': '"reflection, transformation"', 'description': '"The Sitting Room is where Scrooge reflects on his past and contemplates his future, crucial to his transformation."', 'weight': 8.0, 'source_id': 'chunk-90b95db5c53e4364a6bee36b7aa4d70f'}> -2024-10-29 15:29:46,735 - lightrag - INFO - get_edge:query: - MATCH (source:`GHOST`)-[r]-(target:`IGNORANCE`) + :result:None +2024-10-30 06:48:55,357 - lightrag - INFO - _check_edge_existence:query:MATCH (a:`BOB CRATCHIT`)-[r]-(b:`MR. SCROOGE'S NEPHEW`) RETURN COUNT(r) > 0 AS edgeExists:result:True +2024-10-30 06:48:55,491 - lightrag - INFO - get_edge:query: + MATCH (start:`BOB CRATCHIT`)-[r]->(end:`MR. SCROOGE'S NEPHEW`) + RETURN properties(r) as edge_properties + LIMIT 1 + :result:{'keywords': '"kindness, support"', 'weight': 7.0, 'description': '"Bob Cratchit shares a positive interaction with Mr. Scrooge\'s Nephew, who expresses kindness and concern for his family."', 'source_id': 'chunk-1d4b58de5429cd1261370c231c8673e8'} +2024-10-30 06:48:55,621 - lightrag - INFO - _check_node_exists:query:MATCH (n:`BOB CRATCHIT`) RETURN count(n) > 0 AS node_exists:result:True +2024-10-30 06:48:55,789 - lightrag - INFO - _check_node_exists:query:MATCH (n:`MR. SCROOGE'S NEPHEW`) RETURN count(n) > 0 AS node_exists:result:True +2024-10-30 06:48:55,975 - lightrag - INFO - _do_upsert_edge:query: + MATCH (source:`BOB CRATCHIT`) + WITH source + MATCH (target:`MR. SCROOGE'S NEPHEW`) + MERGE (source)-[r:DIRECTED]->(target) + SET r += $properties RETURN r - :result:, ) type='DIRECTED' properties={'keywords': '"societal issues, responsibility"', 'description': '"The Ghost presents Ignorance to Scrooge as a representation of societal neglect and a call for responsibility from humanity."', 'weight': 8.0, 'source_id': 'chunk-e7637ff18c5ded77a68cce0a87883fad'}> -2024-10-29 15:29:46,830 - lightrag - INFO - get_edge:query: - MATCH (source:`CHRISTMAS`)-[r]-(target:`THE GHOST`) + :result:None +2024-10-30 06:48:56,156 - lightrag - INFO - _check_edge_existence:query:MATCH (a:`BOB CRATCHIT`)-[r]-(b:`PETER`) RETURN COUNT(r) > 0 AS edgeExists:result:True +2024-10-30 06:48:56,286 - lightrag - INFO - get_edge:query: + MATCH (start:`BOB CRATCHIT`)-[r]->(end:`PETER`) + RETURN properties(r) as edge_properties + LIMIT 1 + :result:{'keywords': '"family discussions, support"', 'weight': 6.0, 'description': '"Peter interacts with Bob Cratchit, showing the dynamics of a supportive family unit while discussing aspirations."', 'source_id': 'chunk-1d4b58de5429cd1261370c231c8673e8'} +2024-10-30 06:48:56,420 - lightrag - INFO - _check_node_exists:query:MATCH (n:`BOB CRATCHIT`) RETURN count(n) > 0 AS node_exists:result:True +2024-10-30 06:48:56,586 - lightrag - INFO - _check_node_exists:query:MATCH (n:`PETER`) RETURN count(n) > 0 AS node_exists:result:True +2024-10-30 06:48:56,767 - lightrag - INFO - _do_upsert_edge:query: + MATCH (source:`BOB CRATCHIT`) + WITH source + MATCH (target:`PETER`) + MERGE (source)-[r:DIRECTED]->(target) + SET r += $properties RETURN r - :result:, ) type='DIRECTED' properties={'keywords': '"spiritual guide, thematic connection"', 'description': '"The Ghosts represent the essence of Christmas, highlighting the themes of generosity and change during this festive time."', 'weight': 8.0, 'source_id': 'chunk-02baee20cc9463dbe08170a8e1043e32'}> -2024-10-29 15:29:46,929 - lightrag - INFO - get_edge:query: - MATCH (source:`PORTLY GENTLEMEN`)-[r]-(target:`SCROOGE`) + :result:None +2024-10-30 06:48:56,945 - lightrag - INFO - _check_edge_existence:query:MATCH (a:`CHRISTMAS`)-[r]-(b:`TINY TIM`) RETURN COUNT(r) > 0 AS edgeExists:result:True +2024-10-30 06:48:57,078 - lightrag - INFO - get_edge:query: + MATCH (start:`CHRISTMAS`)-[r]->(end:`TINY TIM`) + RETURN properties(r) as edge_properties + LIMIT 1 + :result:{'keywords': '"innocence, holiday spirit"', 'weight': 9.0, 'description': '"Tiny Tim represents the spirit of Christmas, being cherished by family during this festive occasion."', 'source_id': 'chunk-1d4b58de5429cd1261370c231c8673e8'} +2024-10-30 06:48:57,196 - lightrag - INFO - _check_node_exists:query:MATCH (n:`CHRISTMAS`) RETURN count(n) > 0 AS node_exists:result:True +2024-10-30 06:48:57,358 - lightrag - INFO - _check_node_exists:query:MATCH (n:`TINY TIM`) RETURN count(n) > 0 AS node_exists:result:True +2024-10-30 06:48:57,535 - lightrag - INFO - _do_upsert_edge:query: + MATCH (source:`CHRISTMAS`) + WITH source + MATCH (target:`TINY TIM`) + MERGE (source)-[r:DIRECTED]->(target) + SET r += $properties RETURN r - :result:, ) type='DIRECTED' properties={'keywords': '"charity rejection, conflict"', 'description': '"Scrooge dismisses the Portly Gentlemen\'s request for donations, rejecting their appeal for charity."', 'weight': 8.0, 'source_id': 'chunk-5dac41b3f9eeaf794f0147400b1718cd'}> -2024-10-29 15:29:47,033 - lightrag - INFO - get_edge:query: - MATCH (source:`MR. MARLEY`)-[r]-(target:`SCROOGE`) + :result:None +2024-10-30 06:48:57,716 - lightrag - INFO - _check_edge_existence:query:MATCH (a:`SCROOGE`)-[r]-(b:`THE GHOST OF CHRISTMAS YET TO COME`) RETURN COUNT(r) > 0 AS edgeExists:result:True +2024-10-30 06:48:57,845 - lightrag - INFO - get_edge:query: + MATCH (start:`SCROOGE`)-[r]->(end:`THE GHOST OF CHRISTMAS YET TO COME`) + RETURN properties(r) as edge_properties + LIMIT 1 + :result:{'keywords': '"consequences, change""guidance, self-confrontation"', 'weight': 19.0, 'description': '"The Ghost guides Scrooge to confront his potential future that threatens his existence.""The Ghost is critical in revealing the consequences of Scrooge\'s life choices, pushing for change."', 'source_id': 'chunk-91572b3cd42786ba4cb2f180ca25cbf4'} +2024-10-30 06:48:57,963 - lightrag - INFO - _check_node_exists:query:MATCH (n:`SCROOGE`) RETURN count(n) > 0 AS node_exists:result:True +2024-10-30 06:48:58,132 - lightrag - INFO - _check_node_exists:query:MATCH (n:`THE GHOST OF CHRISTMAS YET TO COME`) RETURN count(n) > 0 AS node_exists:result:True +2024-10-30 06:48:58,311 - lightrag - INFO - _do_upsert_edge:query: + MATCH (source:`SCROOGE`) + WITH source + MATCH (target:`THE GHOST OF CHRISTMAS YET TO COME`) + MERGE (source)-[r:DIRECTED]->(target) + SET r += $properties RETURN r - :result:, ) type='DIRECTED' properties={'keywords': '"past connection, isolation"', 'description': '"Scrooge reflects on Mr. Marley\'s death, highlighting his isolation and connection to past values that he now rejects."', 'weight': 7.0, 'source_id': 'chunk-5dac41b3f9eeaf794f0147400b1718cd'}> -2024-10-29 15:29:47,133 - lightrag - INFO - get_edge:query: - MATCH (source:`SCROOGE`)-[r]-(target:`THE PHANTOM`) + :result:None +2024-10-30 06:48:58,490 - lightrag - INFO - _check_edge_existence:query:MATCH (a:`GRAVE`)-[r]-(b:`SCROOGE`) RETURN COUNT(r) > 0 AS edgeExists:result:True +2024-10-30 06:48:58,628 - lightrag - INFO - get_edge:query: + MATCH (start:`GRAVE`)-[r]->(end:`SCROOGE`) + RETURN properties(r) as edge_properties + LIMIT 1 + :result:{'keywords': '"mortality, reflection"', 'weight': 10.0, 'description': '"Scrooge is confronted with his own grave, symbolizing the ultimate outcome of his current lifestyle and actions."', 'source_id': 'chunk-91572b3cd42786ba4cb2f180ca25cbf4'} +2024-10-30 06:48:58,755 - lightrag - INFO - _check_node_exists:query:MATCH (n:`GRAVE`) RETURN count(n) > 0 AS node_exists:result:True +2024-10-30 06:48:58,910 - lightrag - INFO - _check_node_exists:query:MATCH (n:`SCROOGE`) RETURN count(n) > 0 AS node_exists:result:True +2024-10-30 06:48:59,085 - lightrag - INFO - _do_upsert_edge:query: + MATCH (source:`GRAVE`) + WITH source + MATCH (target:`SCROOGE`) + MERGE (source)-[r:DIRECTED]->(target) + SET r += $properties RETURN r - :result:, ) type='DIRECTED' properties={'keywords': '"guidance, self-reflection"', 'description': '"Scrooge interacts with the Phantom, which guides him through reflections on his life and future, emphasizing his journey of change."', 'weight': 9.0, 'source_id': 'chunk-f1a4fbcf1ed86864b9bfd5e8dba4c683'}> -2024-10-29 15:29:47,229 - lightrag - INFO - get_edge:query: - MATCH (source:`JOE`)-[r]-(target:`THE WOMAN`) + :result:None +2024-10-30 06:48:59,258 - lightrag - INFO - _check_edge_existence:query:MATCH (a:`CHRISTMAS DAY`)-[r]-(b:`SCROOGE`) RETURN COUNT(r) > 0 AS edgeExists:result:True +2024-10-30 06:48:59,393 - lightrag - INFO - get_edge:query: + MATCH (start:`CHRISTMAS DAY`)-[r]->(end:`SCROOGE`) + RETURN properties(r) as edge_properties + LIMIT 1 + :result:{'keywords': '"seasonal significance, renewal"', 'weight': 9.0, 'description': '"Scrooge\'s change in attitude and actions occur on Christmas Day, making it a pivotal event in his story."', 'source_id': 'chunk-90b95db5c53e4364a6bee36b7aa4d70f'} +2024-10-30 06:48:59,524 - lightrag - INFO - _check_node_exists:query:MATCH (n:`CHRISTMAS DAY`) RETURN count(n) > 0 AS node_exists:result:True +2024-10-30 06:48:59,682 - lightrag - INFO - _check_node_exists:query:MATCH (n:`SCROOGE`) RETURN count(n) > 0 AS node_exists:result:True +2024-10-30 06:48:59,867 - lightrag - INFO - _do_upsert_edge:query: + MATCH (source:`CHRISTMAS DAY`) + WITH source + MATCH (target:`SCROOGE`) + MERGE (source)-[r:DIRECTED]->(target) + SET r += $properties RETURN r - :result:, ) type='DIRECTED' properties={'keywords': '"dialogue, humor, death""humor, interaction"', 'description': '"Joe and The Woman engage in dialogue about the deceased\'s belongings, showcasing their interactions and differing attitudes towards death.""Joe and The Woman share a humorous exchange about the bed-curtains, reflecting the jovial spirit of the gathering."', 'weight': 12.0, 'source_id': 'chunk-89777b838d5447c7bd1ec11282c4ee89chunk-e1f29eeadc1d8ab46dc8a0bbd3c56b64'}> -2024-10-29 15:29:47,327 - lightrag - INFO - get_edge:query: - MATCH (source:`MARLEY'S GHOST`)-[r]-(target:`SCROOGE`) + :result:None +2024-10-30 06:49:00,045 - lightrag - INFO - _check_edge_existence:query:MATCH (a:`BOB CRATCHIT`)-[r]-(b:`THE POULTERER'S`) RETURN COUNT(r) > 0 AS edgeExists:result:True +2024-10-30 06:49:00,181 - lightrag - INFO - get_edge:query: + MATCH (start:`BOB CRATCHIT`)-[r]->(end:`THE POULTERER'S`) + RETURN properties(r) as edge_properties + LIMIT 1 + :result:{'keywords': '"commerce, generosity"', 'weight': 6.0, 'description': '"The Poulterer\'s shop is where Scrooge instructs the boy to buy a turkey for the Cratchit family, linking commerce to kindness."', 'source_id': 'chunk-90b95db5c53e4364a6bee36b7aa4d70f'} +2024-10-30 06:49:00,302 - lightrag - INFO - _check_node_exists:query:MATCH (n:`BOB CRATCHIT`) RETURN count(n) > 0 AS node_exists:result:True +2024-10-30 06:49:00,473 - lightrag - INFO - _check_node_exists:query:MATCH (n:`THE POULTERER'S`) RETURN count(n) > 0 AS node_exists:result:True +2024-10-30 06:49:00,654 - lightrag - INFO - _do_upsert_edge:query: + MATCH (source:`BOB CRATCHIT`) + WITH source + MATCH (target:`THE POULTERER'S`) + MERGE (source)-[r:DIRECTED]->(target) + SET r += $properties RETURN r - :result:, ) type='DIRECTED' properties={'keywords': '"supernatural confrontation, regret""warning, fate"', 'description': '"Marley\'s Ghost warns Scrooge about the consequences of his actions and the visits of the three spirits, setting the stage for his transformation.""Scrooge is haunted by Marley\'s Ghost, which confronts him as a part of a supernatural occurrence meant to incite fear and reflection on his life choices."', 'weight': 18.0, 'source_id': 'chunk-9c43dac2fcd5b578242d907ea6f8fc7bchunk-cb661c37436355ccec2769b1d0350c5f'}> -2024-10-29 15:29:47,424 - lightrag - INFO - get_edge:query: - MATCH (source:`LITTLE FAN`)-[r]-(target:`SCROOGE`) + :result:None +2024-10-30 06:49:00,830 - lightrag - INFO - _check_edge_existence:query:MATCH (a:`SCROOGE`)-[r]-(b:`THE GHOST OF CHRISTMAS PRESENT`) RETURN COUNT(r) > 0 AS edgeExists:result:True +2024-10-30 06:49:00,961 - lightrag - INFO - get_edge:query: + MATCH (start:`SCROOGE`)-[r]->(end:`THE GHOST OF CHRISTMAS PRESENT`) + RETURN properties(r) as edge_properties + LIMIT 1 + :result:{'keywords': '"awareness, joy""supernatural guidance, social impact""transformation, guidance"', 'weight': 26.0, 'description': '"The Ghost of Christmas Present exposes Scrooge to the joy and generosity he has been missing.""The Ghost of Christmas Present observes Scrooge\'s transformation and emotional engagement with his memories of Christmas.""The Ghost of Christmas Present shows Scrooge the joy and importance of kindness during Christmas, impacting his perspective on social issues."', 'source_id': 'chunk-90b95db5c53e4364a6bee36b7aa4d70fchunk-43c9bee23adfa77aa9dedd22401bba7dchunk-b0f459f5af1c3a5e0b92cbe4ee48b77b'} +2024-10-30 06:49:01,081 - lightrag - INFO - _check_node_exists:query:MATCH (n:`SCROOGE`) RETURN count(n) > 0 AS node_exists:result:True +2024-10-30 06:49:01,244 - lightrag - INFO - _check_node_exists:query:MATCH (n:`THE GHOST OF CHRISTMAS PRESENT`) RETURN count(n) > 0 AS node_exists:result:True +2024-10-30 06:49:01,420 - lightrag - INFO - _do_upsert_edge:query: + MATCH (source:`SCROOGE`) + WITH source + MATCH (target:`THE GHOST OF CHRISTMAS PRESENT`) + MERGE (source)-[r:DIRECTED]->(target) + SET r += $properties RETURN r - :result:, ) type='DIRECTED' properties={'keywords': '"family, nostalgia"', 'description': '"Little Fan\'s joyful visit emphasizes family love and the nostalgic warmth of childhood memories for Scrooge."', 'weight': 9.0, 'source_id': 'chunk-c6c248858d1b13ab7ee9ca13c1aeed6b'}> -2024-10-29 15:29:47,521 - lightrag - INFO - get_edge:query: - MATCH (source:`IGNORANCE`)-[r]-(target:`MAN`) + :result:None +2024-10-30 06:49:01,597 - lightrag - INFO - _check_edge_existence:query:MATCH (a:`SCROOGE`)-[r]-(b:`THE BOY`) RETURN COUNT(r) > 0 AS edgeExists:result:True +2024-10-30 06:49:01,727 - lightrag - INFO - get_edge:query: + MATCH (start:`SCROOGE`)-[r]->(end:`THE BOY`) + RETURN properties(r) as edge_properties + LIMIT 1 + :result:{'keywords': '"generosity, kindness"', 'weight': 8.0, 'description': '"Scrooge interacts with The Boy to deliver the turkey, showing a newfound generosity and connection to others."', 'source_id': 'chunk-8f738cb25d60a7dab782162d9d0a25ed'} +2024-10-30 06:49:01,844 - lightrag - INFO - _check_node_exists:query:MATCH (n:`SCROOGE`) RETURN count(n) > 0 AS node_exists:result:True +2024-10-30 06:49:02,009 - lightrag - INFO - _check_node_exists:query:MATCH (n:`THE BOY`) RETURN count(n) > 0 AS node_exists:result:True +2024-10-30 06:49:02,183 - lightrag - INFO - _do_upsert_edge:query: + MATCH (source:`SCROOGE`) + WITH source + MATCH (target:`THE BOY`) + MERGE (source)-[r:DIRECTED]->(target) + SET r += $properties RETURN r - :result:, ) type='DIRECTED' properties={'keywords': '"societal responsibility, advocacy"', 'description': '"The concept of Man is tied to Ignorance and Want, illustrating the failures of society in addressing poverty and need."', 'weight': 9.0, 'source_id': 'chunk-e7637ff18c5ded77a68cce0a87883fad'}> -2024-10-29 15:29:47,622 - lightrag - INFO - get_edge:query: - MATCH (source:`SCROOGE`)-[r]-(target:`THE THREE SPIRITS`) + :result:None +2024-10-30 06:49:02,360 - lightrag - INFO - _check_edge_existence:query:MATCH (a:`BOB CRATCHIT`)-[r]-(b:`THE CHRISTMAS DINNER`) RETURN COUNT(r) > 0 AS edgeExists:result:True +2024-10-30 06:49:02,494 - lightrag - INFO - get_edge:query: + MATCH (start:`BOB CRATCHIT`)-[r]->(end:`THE CHRISTMAS DINNER`) + RETURN properties(r) as edge_properties + LIMIT 1 + :result:{'keywords': '"family, celebration"', 'weight': 8.0, 'description': '"The Christmas Dinner represents the Cratchit family\'s celebration, with Bob Cratchit at the center of this warm gathering."', 'source_id': 'chunk-90b95db5c53e4364a6bee36b7aa4d70f'} +2024-10-30 06:49:02,613 - lightrag - INFO - _check_node_exists:query:MATCH (n:`BOB CRATCHIT`) RETURN count(n) > 0 AS node_exists:result:True +2024-10-30 06:49:02,782 - lightrag - INFO - _check_node_exists:query:MATCH (n:`THE CHRISTMAS DINNER`) RETURN count(n) > 0 AS node_exists:result:True +2024-10-30 06:49:02,963 - lightrag - INFO - _do_upsert_edge:query: + MATCH (source:`BOB CRATCHIT`) + WITH source + MATCH (target:`THE CHRISTMAS DINNER`) + MERGE (source)-[r:DIRECTED]->(target) + SET r += $properties RETURN r - :result:, ) type='DIRECTED' properties={'keywords': '"redemption, transformation"', 'description': '"Scrooge is directly involved in the narrative concerning the Three Spirits who are meant to guide him toward redemption."', 'weight': 9.0, 'source_id': 'chunk-cb661c37436355ccec2769b1d0350c5f'}> -2024-10-29 15:29:47,719 - lightrag - INFO - get_edge:query: - MATCH (source:`SCROOGE`)-[r]-(target:`THE CHURCH`) + :result:None +2024-10-30 06:49:03,143 - lightrag - INFO - _check_edge_existence:query:MATCH (a:`SCROOGE`)-[r]-(b:`THE OLD GENTLEMAN`) RETURN COUNT(r) > 0 AS edgeExists:result:True +2024-10-30 06:49:03,274 - lightrag - INFO - get_edge:query: + MATCH (start:`SCROOGE`)-[r]->(end:`THE OLD GENTLEMAN`) + RETURN properties(r) as edge_properties + LIMIT 1 + :result:{'keywords': '"kindness, transformation"', 'weight': 9.0, 'description': '"Scrooge shows kindness and generosity to The Old Gentleman, marking a significant change in his character and relationships."', 'source_id': 'chunk-8f738cb25d60a7dab782162d9d0a25ed'} +2024-10-30 06:49:03,393 - lightrag - INFO - _check_node_exists:query:MATCH (n:`SCROOGE`) RETURN count(n) > 0 AS node_exists:result:True +2024-10-30 06:49:03,557 - lightrag - INFO - _check_node_exists:query:MATCH (n:`THE OLD GENTLEMAN`) RETURN count(n) > 0 AS node_exists:result:True +2024-10-30 06:49:03,741 - lightrag - INFO - _do_upsert_edge:query: + MATCH (source:`SCROOGE`) + WITH source + MATCH (target:`THE OLD GENTLEMAN`) + MERGE (source)-[r:DIRECTED]->(target) + SET r += $properties RETURN r - :result:, ) type='DIRECTED' properties={'keywords': '"community, spirituality"', 'description': '"Scrooge\'s visit to The Church reflects his desire to embrace the spirit of Christmas and community engagement."', 'weight': 9.0, 'source_id': 'chunk-8f738cb25d60a7dab782162d9d0a25ed'}> -2024-10-29 15:29:47,818 - lightrag - INFO - get_edge:query: - MATCH (source:`CHESTNUTS`)-[r]-(target:`CHRISTMAS`) + :result:None +2024-10-30 06:49:03,918 - lightrag - INFO - _check_edge_existence:query:MATCH (a:`BOB CRATCHIT`)-[r]-(b:`THE FAMILY`) RETURN COUNT(r) > 0 AS edgeExists:result:True +2024-10-30 06:49:04,050 - lightrag - INFO - get_edge:query: + MATCH (start:`BOB CRATCHIT`)-[r]->(end:`THE FAMILY`) + RETURN properties(r) as edge_properties + LIMIT 1 + :result:{'keywords': '"family, responsibility"', 'weight': 8.0, 'description': '"Bob Cratchit is a central figure in The Family, demonstrating love and responsibility towards his children during Christmas."', 'source_id': 'chunk-94bea83e7153fc2064aa382b494936a1'} +2024-10-30 06:49:04,168 - lightrag - INFO - _check_node_exists:query:MATCH (n:`BOB CRATCHIT`) RETURN count(n) > 0 AS node_exists:result:True +2024-10-30 06:49:04,335 - lightrag - INFO - _check_node_exists:query:MATCH (n:`THE FAMILY`) RETURN count(n) > 0 AS node_exists:result:True +2024-10-30 06:49:04,521 - lightrag - INFO - _do_upsert_edge:query: + MATCH (source:`BOB CRATCHIT`) + WITH source + MATCH (target:`THE FAMILY`) + MERGE (source)-[r:DIRECTED]->(target) + SET r += $properties RETURN r - :result:, ) type='DIRECTED' properties={'keywords': '"festive foods, sensory experiences"', 'description': '"Chestnuts are sold during Christmas, contributing to the sensory experience of the holiday."', 'weight': 8.0, 'source_id': 'chunk-99b0ec7f7e006561352b5d65e849611d'}> -2024-10-29 15:29:47,923 - lightrag - INFO - get_edge:query: - MATCH (source:`FOG`)-[r]-(target:`THE CITY`) + :result:None +2024-10-30 06:49:04,692 - lightrag - INFO - _check_edge_existence:query:MATCH (a:`BOB CRATCHIT`)-[r]-(b:`THE TANK`) RETURN COUNT(r) > 0 AS edgeExists:result:True +2024-10-30 06:49:04,827 - lightrag - INFO - get_edge:query: + MATCH (start:`BOB CRATCHIT`)-[r]->(end:`THE TANK`) + RETURN properties(r) as edge_properties + LIMIT 1 + :result:{'keywords': '"workplace, struggle"', 'weight': 7.0, 'description': '"Bob\'s working conditions in The Tank under Scrooge reflect the challenges he faces as a struggling employee supporting his family."', 'source_id': 'chunk-94bea83e7153fc2064aa382b494936a1'} +2024-10-30 06:49:04,943 - lightrag - INFO - _check_node_exists:query:MATCH (n:`BOB CRATCHIT`) RETURN count(n) > 0 AS node_exists:result:True +2024-10-30 06:49:05,109 - lightrag - INFO - _check_node_exists:query:MATCH (n:`THE TANK`) RETURN count(n) > 0 AS node_exists:result:True +2024-10-30 06:49:05,285 - lightrag - INFO - _do_upsert_edge:query: + MATCH (source:`BOB CRATCHIT`) + WITH source + MATCH (target:`THE TANK`) + MERGE (source)-[r:DIRECTED]->(target) + SET r += $properties RETURN r - :result:, ) type='DIRECTED' properties={'keywords': '"atmosphere, symbolism"', 'description': '"The fog in The City creates a dreary atmosphere, signifying confusion and obscured visibility, paralleling Scrooge\'s cold perspective on life."', 'weight': 6.0, 'source_id': 'chunk-74e2466de2f67fd710ef2f20c0a8d9e0'}> -2024-10-29 15:29:48,038 - lightrag - INFO - get_edge:query: - MATCH (source:`SCROOGE`)-[r]-(target:`THE TURKEY`) + :result:None +2024-10-30 06:49:05,466 - lightrag - INFO - _check_edge_existence:query:MATCH (a:`SCROOGE`)-[r]-(b:`SMOKING BISHOP`) RETURN COUNT(r) > 0 AS edgeExists:result:True +2024-10-30 06:49:05,599 - lightrag - INFO - get_edge:query: + MATCH (start:`SCROOGE`)-[r]->(end:`SMOKING BISHOP`) + RETURN properties(r) as edge_properties + LIMIT 1 + :result:{'keywords': '"celebration, warmth"', 'weight': 9.0, 'description': '"Scrooge and Bob\'s plans to enjoy Smoking Bishop together symbolize the welcoming of joy and warmth during the Christmas season."', 'source_id': 'chunk-94bea83e7153fc2064aa382b494936a1'} +2024-10-30 06:49:05,715 - lightrag - INFO - _check_node_exists:query:MATCH (n:`SCROOGE`) RETURN count(n) > 0 AS node_exists:result:True +2024-10-30 06:49:05,884 - lightrag - INFO - _check_node_exists:query:MATCH (n:`SMOKING BISHOP`) RETURN count(n) > 0 AS node_exists:result:True +2024-10-30 06:49:06,063 - lightrag - INFO - _do_upsert_edge:query: + MATCH (source:`SCROOGE`) + WITH source + MATCH (target:`SMOKING BISHOP`) + MERGE (source)-[r:DIRECTED]->(target) + SET r += $properties RETURN r - :result:, ) type='DIRECTED' properties={'keywords': '"generosity, celebration"', 'description': '"Scrooge expresses joy and excitement about the turkey he plans to send, highlighting his generous transformation."', 'weight': 7.0, 'source_id': 'chunk-8f738cb25d60a7dab782162d9d0a25ed'}> -2024-10-29 15:29:48,154 - lightrag - INFO - get_edge:query: - MATCH (source:`DEATH`)-[r]-(target:`THE FUTURE`) + :result:None +2024-10-30 06:49:06,236 - lightrag - INFO - _check_edge_existence:query:MATCH (a:`PROJECT GUTENBERG`)-[r]-(b:`THE FOUNDATION`) RETURN COUNT(r) > 0 AS edgeExists:result:True +2024-10-30 06:49:06,368 - lightrag - INFO - get_edge:query: + MATCH (start:`PROJECT GUTENBERG`)-[r]->(end:`THE FOUNDATION`) + RETURN properties(r) as edge_properties + LIMIT 1 + :result:{'keywords': '"organizational governance, copyright management"', 'weight': 9.0, 'description': '"Project Gutenberg is operated and managed by The Foundation, which governs its copyright and licensing aspects."', 'source_id': 'chunk-194cd9680f4967f48bea89678f7ece21'} +2024-10-30 06:49:06,496 - lightrag - INFO - _check_node_exists:query:MATCH (n:`PROJECT GUTENBERG`) RETURN count(n) > 0 AS node_exists:result:True +2024-10-30 06:49:06,667 - lightrag - INFO - _check_node_exists:query:MATCH (n:`THE FOUNDATION`) RETURN count(n) > 0 AS node_exists:result:True +2024-10-30 06:49:06,845 - lightrag - INFO - _do_upsert_edge:query: + MATCH (source:`PROJECT GUTENBERG`) + WITH source + MATCH (target:`THE FOUNDATION`) + MERGE (source)-[r:DIRECTED]->(target) + SET r += $properties RETURN r - :result:, ) type='DIRECTED' properties={'keywords': '"consequences of choices, reflection"', 'description': '"The concept of The Future is intricately linked to discussions about Death, pondering the consequences of life\'s choices."', 'weight': 7.0, 'source_id': 'chunk-02baee20cc9463dbe08170a8e1043e32'}> -2024-10-29 15:29:48,249 - lightrag - INFO - get_edge:query: - MATCH (source:`CHRISTMAS`)-[r]-(target:`THE LAMPLIGHTER`) + :result:None +2024-10-30 06:49:07,018 - lightrag - INFO - _check_edge_existence:query:MATCH (a:`GENERAL TERMS OF USE`)-[r]-(b:`PROJECT GUTENBERG`) RETURN COUNT(r) > 0 AS edgeExists:result:True +2024-10-30 06:49:07,149 - lightrag - INFO - get_edge:query: + MATCH (start:`GENERAL TERMS OF USE`)-[r]->(end:`PROJECT GUTENBERG`) + RETURN properties(r) as edge_properties + LIMIT 1 + :result:{'keywords': '"regulatory framework, operational guidelines"', 'weight': 7.0, 'description': '"Project Gutenberg operates under specific General Terms of Use that govern the distribution and utilization of its electronic works."', 'source_id': 'chunk-194cd9680f4967f48bea89678f7ece21'} +2024-10-30 06:49:07,276 - lightrag - INFO - _check_node_exists:query:MATCH (n:`GENERAL TERMS OF USE`) RETURN count(n) > 0 AS node_exists:result:True +2024-10-30 06:49:07,446 - lightrag - INFO - _check_node_exists:query:MATCH (n:`PROJECT GUTENBERG`) RETURN count(n) > 0 AS node_exists:result:True +2024-10-30 06:49:07,626 - lightrag - INFO - _do_upsert_edge:query: + MATCH (source:`GENERAL TERMS OF USE`) + WITH source + MATCH (target:`PROJECT GUTENBERG`) + MERGE (source)-[r:DIRECTED]->(target) + SET r += $properties RETURN r - :result:, ) type='DIRECTED' properties={'keywords': '"symbolism, holiday spirit"', 'description': '"The Lamplighter\'s actions of spreading light symbolize the joy and warmth associated with Christmas."', 'weight': 7.0, 'source_id': 'chunk-91614df5cb74cbe5e109a338a82041e9'}> -2024-10-29 15:29:48,343 - lightrag - INFO - get_edge:query: - MATCH (source:`SCROOGE`)-[r]-(target:`THE SPIRITS`) + :result:None +2024-10-30 06:49:07,803 - lightrag - INFO - _check_edge_existence:query:MATCH (a:`PROJECT GUTENBERG`)-[r]-(b:`TRANSCRIBER'S NOTE`) RETURN COUNT(r) > 0 AS edgeExists:result:True +2024-10-30 06:49:07,937 - lightrag - INFO - get_edge:query: + MATCH (start:`PROJECT GUTENBERG`)-[r]->(end:`TRANSCRIBER'S NOTE`) + RETURN properties(r) as edge_properties + LIMIT 1 + :result:{'keywords': '"contextual enhancement, editorial contribution"', 'weight': 6.0, 'description': '"The transcriber\'s note provides additional context about the eBook created and distributed by Project Gutenberg."', 'source_id': 'chunk-194cd9680f4967f48bea89678f7ece21'} +2024-10-30 06:49:08,059 - lightrag - INFO - _check_node_exists:query:MATCH (n:`PROJECT GUTENBERG`) RETURN count(n) > 0 AS node_exists:result:True +2024-10-30 06:49:08,233 - lightrag - INFO - _check_node_exists:query:MATCH (n:`TRANSCRIBER'S NOTE`) RETURN count(n) > 0 AS node_exists:result:True +2024-10-30 06:49:08,410 - lightrag - INFO - _do_upsert_edge:query: + MATCH (source:`PROJECT GUTENBERG`) + WITH source + MATCH (target:`TRANSCRIBER'S NOTE`) + MERGE (source)-[r:DIRECTED]->(target) + SET r += $properties RETURN r - :result:, ) type='DIRECTED' properties={'keywords': '"redemption, guidance"', 'description': '"The Spirits embody the lessons Scrooge must learn to change his life and embrace kindness."', 'weight': 9.0, 'source_id': 'chunk-90b95db5c53e4364a6bee36b7aa4d70f'}> -2024-10-29 15:29:48,442 - lightrag - INFO - get_edge:query: - MATCH (source:`JACOB`)-[r]-(target:`SCROOGE`) + :result:None +2024-10-30 06:49:08,585 - lightrag - INFO - _check_edge_existence:query:MATCH (a:`THE FOUNDATION`)-[r]-(b:`UNITED STATES COPYRIGHT`) RETURN COUNT(r) > 0 AS edgeExists:result:True +2024-10-30 06:49:08,715 - lightrag - INFO - get_edge:query: + MATCH (start:`THE FOUNDATION`)-[r]->(end:`UNITED STATES COPYRIGHT`) + RETURN properties(r) as edge_properties + LIMIT 1 + :result:{'keywords': '"legal compliance, governance"', 'weight': 8.0, 'description': '"The Foundation operates within the framework of United States copyright laws, which govern its activities and permissions."', 'source_id': 'chunk-194cd9680f4967f48bea89678f7ece21'} +2024-10-30 06:49:08,842 - lightrag - INFO - _check_node_exists:query:MATCH (n:`THE FOUNDATION`) RETURN count(n) > 0 AS node_exists:result:True +2024-10-30 06:49:09,011 - lightrag - INFO - _check_node_exists:query:MATCH (n:`UNITED STATES COPYRIGHT`) RETURN count(n) > 0 AS node_exists:result:True +2024-10-30 06:49:09,183 - lightrag - INFO - _do_upsert_edge:query: + MATCH (source:`THE FOUNDATION`) + WITH source + MATCH (target:`UNITED STATES COPYRIGHT`) + MERGE (source)-[r:DIRECTED]->(target) + SET r += $properties RETURN r - :result:, ) type='DIRECTED' properties={'keywords': '"reflection, past relationship"', 'description': '"Scrooge reflects on his past relationship with Jacob, influenced by feelings of guilt and loss after Jacob\'s death."', 'weight': 8.0, 'source_id': 'chunk-f1a4fbcf1ed86864b9bfd5e8dba4c683'}> -2024-10-29 15:29:48,538 - lightrag - INFO - get_edge:query: - MATCH (source:`SCROOGE`)-[r]-(target:`THE REGISTER`) + :result:None +2024-10-30 06:49:09,359 - lightrag - INFO - _check_edge_existence:query:MATCH (a:`ELECTRONIC WORKS`)-[r]-(b:`PROJECT GUTENBERG`) RETURN COUNT(r) > 0 AS edgeExists:result:True +2024-10-30 06:49:09,492 - lightrag - INFO - get_edge:query: + MATCH (start:`ELECTRONIC WORKS`)-[r]->(end:`PROJECT GUTENBERG`) + RETURN properties(r) as edge_properties + LIMIT 1 + :result:{'keywords': '"digital access, literary promotion"', 'weight': 10.0, 'description': '"Project Gutenberg is dedicated to the distribution of electronic works, which are core to its mission."', 'source_id': 'chunk-194cd9680f4967f48bea89678f7ece21'} +2024-10-30 06:49:09,622 - lightrag - INFO - _check_node_exists:query:MATCH (n:`ELECTRONIC WORKS`) RETURN count(n) > 0 AS node_exists:result:True +2024-10-30 06:49:09,784 - lightrag - INFO - _check_node_exists:query:MATCH (n:`PROJECT GUTENBERG`) RETURN count(n) > 0 AS node_exists:result:True +2024-10-30 06:49:09,964 - lightrag - INFO - _do_upsert_edge:query: + MATCH (source:`ELECTRONIC WORKS`) + WITH source + MATCH (target:`PROJECT GUTENBERG`) + MERGE (source)-[r:DIRECTED]->(target) + SET r += $properties RETURN r - :result:, ) type='DIRECTED' properties={'keywords': '"responsibility, mourning"', 'description': '"Scrooge\'s connection to The Register reinforces his involvement in Marley\'s death and the responsibilities that follow."', 'weight': 8.0, 'source_id': 'chunk-89777b838d5447c7bd1ec11282c4ee89'}> -2024-10-29 15:29:48,634 - lightrag - INFO - get_edge:query: - MATCH (source:`SCROOGE`)-[r]-(target:`THE COLD`) + :result:None +2024-10-30 06:49:10,137 - lightrag - INFO - _check_edge_existence:query:MATCH (a:`COPYRIGHT ROYALTIES`)-[r]-(b:`PROJECT GUTENBERG`) RETURN COUNT(r) > 0 AS edgeExists:result:True +2024-10-30 06:49:10,272 - lightrag - INFO - get_edge:query: + MATCH (start:`COPYRIGHT ROYALTIES`)-[r]->(end:`PROJECT GUTENBERG`) + RETURN properties(r) as edge_properties + LIMIT 1 + :result:{'keywords': '"copyright policy, free access"', 'weight': 9.0, 'description': '"Project Gutenberg states that works not protected by U.S. copyright can be distributed without paying copyright royalties."', 'source_id': 'chunk-194cd9680f4967f48bea89678f7ece21'} +2024-10-30 06:49:10,396 - lightrag - INFO - _check_node_exists:query:MATCH (n:`COPYRIGHT ROYALTIES`) RETURN count(n) > 0 AS node_exists:result:True +2024-10-30 06:49:10,553 - lightrag - INFO - _check_node_exists:query:MATCH (n:`PROJECT GUTENBERG`) RETURN count(n) > 0 AS node_exists:result:True +2024-10-30 06:49:10,731 - lightrag - INFO - _do_upsert_edge:query: + MATCH (source:`COPYRIGHT ROYALTIES`) + WITH source + MATCH (target:`PROJECT GUTENBERG`) + MERGE (source)-[r:DIRECTED]->(target) + SET r += $properties RETURN r - :result:, ) type='DIRECTED' properties={'keywords': '"metaphor, emotional state"', 'description': '"The Cold serves as a metaphor for Scrooge\'s emotional state, indicating his lack of warmth and compassion."', 'weight': 8.0, 'source_id': 'chunk-74e2466de2f67fd710ef2f20c0a8d9e0'}> -2024-10-29 15:29:48,729 - lightrag - INFO - get_edge:query: - MATCH (source:`SCROOGE`)-[r]-(target:`THE MAIN STREET`) + :result:None +2024-10-30 06:49:10,913 - lightrag - INFO - _check_edge_existence:query:MATCH (a:`GENERAL TERMS OF USE`)-[r]-(b:`TRADEMARK LICENSE`) RETURN COUNT(r) > 0 AS edgeExists:result:True +2024-10-30 06:49:11,045 - lightrag - INFO - get_edge:query: + MATCH (start:`GENERAL TERMS OF USE`)-[r]->(end:`TRADEMARK LICENSE`) + RETURN properties(r) as edge_properties + LIMIT 1 + :result:{'keywords': '"operational policy, trademark protection"', 'weight': 7.0, 'description': '"The General Terms of Use outlines the conditions that must be adhered to regarding the use of the Project Gutenberg trademark."', 'source_id': 'chunk-194cd9680f4967f48bea89678f7ece21'} +2024-10-30 06:49:11,175 - lightrag - INFO - _check_node_exists:query:MATCH (n:`GENERAL TERMS OF USE`) RETURN count(n) > 0 AS node_exists:result:True +2024-10-30 06:49:11,340 - lightrag - INFO - _check_node_exists:query:MATCH (n:`TRADEMARK LICENSE`) RETURN count(n) > 0 AS node_exists:result:True +2024-10-30 06:49:11,518 - lightrag - INFO - _do_upsert_edge:query: + MATCH (source:`GENERAL TERMS OF USE`) + WITH source + MATCH (target:`TRADEMARK LICENSE`) + MERGE (source)-[r:DIRECTED]->(target) + SET r += $properties RETURN r - :result:, ) type='DIRECTED' properties={'keywords': '"social dynamics, personal struggle"', 'description': '"Scrooge\'s experiences on The Main Street during Christmas time reflect his discontent with the surrounding joy and celebrations."', 'weight': 6.0, 'source_id': 'chunk-90d5764e301321c087f5a8f78b73a145'}> -2024-10-29 15:29:48,820 - lightrag - INFO - get_edge:query: - MATCH (source:`APPLES`)-[r]-(target:`CHRISTMAS`) + :result:None +2024-10-30 06:49:11,698 - lightrag - INFO - _check_edge_existence:query:MATCH (a:`PROJECT GUTENBERG LITERARY ARCHIVE FOUNDATION`)-[r]-(b:`PROJECT GUTENBERG`) RETURN COUNT(r) > 0 AS edgeExists:result:True +2024-10-30 06:49:11,829 - lightrag - INFO - get_edge:query: + MATCH (start:`PROJECT GUTENBERG LITERARY ARCHIVE FOUNDATION`)-[r]->(end:`PROJECT GUTENBERG`) + RETURN properties(r) as edge_properties + LIMIT 1 + :result:{'keywords': '"management, oversight"', 'weight': 8.0, 'description': '"The Project Gutenberg Literary Archive Foundation is responsible for managing the trademark of Project Gutenberg and ensuring compliance with its licensing terms."', 'source_id': 'chunk-af4ae173c561e4594c5aea96198cce9d'} +2024-10-30 06:49:11,965 - lightrag - INFO - _check_node_exists:query:MATCH (n:`PROJECT GUTENBERG LITERARY ARCHIVE FOUNDATION`) RETURN count(n) > 0 AS node_exists:result:True +2024-10-30 06:49:12,121 - lightrag - INFO - _check_node_exists:query:MATCH (n:`PROJECT GUTENBERG`) RETURN count(n) > 0 AS node_exists:result:True +2024-10-30 06:49:12,300 - lightrag - INFO - _do_upsert_edge:query: + MATCH (source:`PROJECT GUTENBERG LITERARY ARCHIVE FOUNDATION`) + WITH source + MATCH (target:`PROJECT GUTENBERG`) + MERGE (source)-[r:DIRECTED]->(target) + SET r += $properties RETURN r - :result:, ) type='DIRECTED' properties={'keywords': '"seasonal offerings, tradition"', 'description': '"Apples are featured in markets during Christmas, indicating traditional holiday fare."', 'weight': 6.0, 'source_id': 'chunk-99b0ec7f7e006561352b5d65e849611d'}> -2024-10-29 15:29:48,912 - lightrag - INFO - get_edge:query: - MATCH (source:`SCROOGE`)-[r]-(target:`THE CASK`) + :result:None +2024-10-30 06:49:12,479 - lightrag - INFO - _check_edge_existence:query:MATCH (a:`PROJECT GUTENBERG`)-[r]-(b:`U.S. COPYRIGHT LAW`) RETURN COUNT(r) > 0 AS edgeExists:result:True +2024-10-30 06:49:12,612 - lightrag - INFO - get_edge:query: + MATCH (start:`PROJECT GUTENBERG`)-[r]->(end:`U.S. COPYRIGHT LAW`) + RETURN properties(r) as edge_properties + LIMIT 1 + :result:{'keywords': '"legal compliance, copyright influence""legal compliance, operational limitations"', 'weight': 16.0, 'description': '"Project Gutenberg operates within the parameters of U.S. Copyright Law to ensure that its activities align with legal standards.""Project Gutenberg\'s operations are significantly influenced by U.S. Copyright Law, which dictates how works can be shared and accessed."', 'source_id': 'chunk-af4ae173c561e4594c5aea96198cce9dchunk-c51b3dc560b408cce12cdfe5c9c94f57'} +2024-10-30 06:49:12,730 - lightrag - INFO - _check_node_exists:query:MATCH (n:`PROJECT GUTENBERG`) RETURN count(n) > 0 AS node_exists:result:True +2024-10-30 06:49:12,896 - lightrag - INFO - _check_node_exists:query:MATCH (n:`U.S. COPYRIGHT LAW`) RETURN count(n) > 0 AS node_exists:result:True +2024-10-30 06:49:13,077 - lightrag - INFO - _do_upsert_edge:query: + MATCH (source:`PROJECT GUTENBERG`) + WITH source + MATCH (target:`U.S. COPYRIGHT LAW`) + MERGE (source)-[r:DIRECTED]->(target) + SET r += $properties RETURN r - :result:, ) type='DIRECTED' properties={'keywords': '"fear, tension"', 'description': '"The Cask is associated with the sounds of chains during the haunting, heightening Scrooge\'s fear and trepidation about the ghostly visit."', 'weight': 8.0, 'source_id': 'chunk-9c43dac2fcd5b578242d907ea6f8fc7b'}> -2024-10-29 15:29:49,007 - lightrag - INFO - get_edge:query: - MATCH (source:`SCROOGE`)-[r]-(target:`THE BLANKETS`) + :result:None +2024-10-30 06:49:13,256 - lightrag - INFO - _check_edge_existence:query:MATCH (a:`EBOOK`)-[r]-(b:`PROJECT GUTENBERG`) RETURN COUNT(r) > 0 AS edgeExists:result:True +2024-10-30 06:49:13,390 - lightrag - INFO - get_edge:query: + MATCH (start:`EBOOK`)-[r]->(end:`PROJECT GUTENBERG`) + RETURN properties(r) as edge_properties + LIMIT 1 + :result:{'keywords': '"digital library, access"', 'weight': 9.0, 'description': '"Project Gutenberg provides access to eBooks that follow specific terms of distribution as established in its license."', 'source_id': 'chunk-af4ae173c561e4594c5aea96198cce9d'} +2024-10-30 06:49:13,522 - lightrag - INFO - _check_node_exists:query:MATCH (n:`EBOOK`) RETURN count(n) > 0 AS node_exists:result:True +2024-10-30 06:49:13,681 - lightrag - INFO - _check_node_exists:query:MATCH (n:`PROJECT GUTENBERG`) RETURN count(n) > 0 AS node_exists:result:True +2024-10-30 06:49:13,857 - lightrag - INFO - _do_upsert_edge:query: + MATCH (source:`EBOOK`) + WITH source + MATCH (target:`PROJECT GUTENBERG`) + MERGE (source)-[r:DIRECTED]->(target) + SET r += $properties RETURN r - :result:, ) type='DIRECTED' properties={'keywords': '"neglect, reflection"', 'description': '"Scrooge contemplates the significance of The Blankets, linking them to the neglected state of The Deceased in death."', 'weight': 8.0, 'source_id': 'chunk-e1f29eeadc1d8ab46dc8a0bbd3c56b64'}> -2024-10-29 15:29:49,101 - lightrag - INFO - get_edge:query: - MATCH (source:`GHOST OF CHRISTMAS PRESENT`)-[r]-(target:`SPIRIT`) + :result:None +2024-10-30 06:49:14,032 - lightrag - INFO - _check_edge_existence:query:MATCH (a:`PROJECT GUTENBERG`)-[r]-(b:`UNITED STATES`) RETURN COUNT(r) > 0 AS edgeExists:result:True +2024-10-30 06:49:14,165 - lightrag - INFO - get_edge:query: + MATCH (start:`PROJECT GUTENBERG`)-[r]->(end:`UNITED STATES`) + RETURN properties(r) as edge_properties + LIMIT 1 + :result:{'keywords': '"legal framework, copyright law"', 'weight': 8.0, 'description': '"Project Gutenberg operates within the legal framework of the United States, influencing its copyright policies and user access."', 'source_id': 'chunk-194cd9680f4967f48bea89678f7ece21'} +2024-10-30 06:49:14,283 - lightrag - INFO - _check_node_exists:query:MATCH (n:`PROJECT GUTENBERG`) RETURN count(n) > 0 AS node_exists:result:True +2024-10-30 06:49:14,446 - lightrag - INFO - _check_node_exists:query:MATCH (n:`UNITED STATES`) RETURN count(n) > 0 AS node_exists:result:True +2024-10-30 06:49:14,630 - lightrag - INFO - _do_upsert_edge:query: + MATCH (source:`PROJECT GUTENBERG`) + WITH source + MATCH (target:`UNITED STATES`) + MERGE (source)-[r:DIRECTED]->(target) + SET r += $properties RETURN r - :result:, ) type='DIRECTED' properties={'keywords': '"mentoring, generosity"', 'description': '"The Ghost embodies the essence of Christmas present, revealing the themes of joy and abundance to Scrooge."', 'weight': 10.0, 'source_id': 'chunk-843b5b2f944c7413d9ca876e2e2f151f'}> -2024-10-29 15:29:49,196 - lightrag - INFO - get_edge:query: - MATCH (source:`SCROOGE`)-[r]-(target:`TOPPER`) + :result:None +2024-10-30 06:49:14,809 - lightrag - INFO - _check_edge_existence:query:MATCH (a:`PROJECT GUTENBERG LITERARY ARCHIVE FOUNDATION`)-[r]-(b:`ROYALTY PAYMENTS`) RETURN COUNT(r) > 0 AS edgeExists:result:True +2024-10-30 06:49:14,942 - lightrag - INFO - get_edge:query: + MATCH (start:`PROJECT GUTENBERG LITERARY ARCHIVE FOUNDATION`)-[r]->(end:`ROYALTY PAYMENTS`) + RETURN properties(r) as edge_properties + LIMIT 1 + :result:{'keywords': '"financial management, trademark"', 'weight': 7.0, 'description': '"The Project Gutenberg Literary Archive Foundation oversees the management and collection of Royalty Payments for the use of their trademark."', 'source_id': 'chunk-af4ae173c561e4594c5aea96198cce9d'} +2024-10-30 06:49:15,068 - lightrag - INFO - _check_node_exists:query:MATCH (n:`PROJECT GUTENBERG LITERARY ARCHIVE FOUNDATION`) RETURN count(n) > 0 AS node_exists:result:True +2024-10-30 06:49:15,234 - lightrag - INFO - _check_node_exists:query:MATCH (n:`ROYALTY PAYMENTS`) RETURN count(n) > 0 AS node_exists:result:True +2024-10-30 06:49:15,412 - lightrag - INFO - _do_upsert_edge:query: + MATCH (source:`PROJECT GUTENBERG LITERARY ARCHIVE FOUNDATION`) + WITH source + MATCH (target:`ROYALTY PAYMENTS`) + MERGE (source)-[r:DIRECTED]->(target) + SET r += $properties RETURN r - :result:, ) type='DIRECTED' properties={'keywords': '"observation, merriment"', 'description': '"Scrooge observes Topper\'s antics and expressions of joy during the games, revealing a reflection on human nature and merriment."', 'weight': 6.0, 'source_id': 'chunk-43c9bee23adfa77aa9dedd22401bba7d'}> -2024-10-29 15:29:49,287 - lightrag - INFO - get_edge:query: - MATCH (source:`SCROOGE`)-[r]-(target:`THE YOUNG GIRL`) + :result:None +2024-10-30 06:49:15,652 - lightrag - INFO - _check_edge_existence:query:MATCH (a:`COPYRIGHT HOLDER`)-[r]-(b:`PROJECT GUTENBERG`) RETURN COUNT(r) > 0 AS edgeExists:result:True +2024-10-30 06:49:15,786 - lightrag - INFO - get_edge:query: + MATCH (start:`COPYRIGHT HOLDER`)-[r]->(end:`PROJECT GUTENBERG`) + RETURN properties(r) as edge_properties + LIMIT 1 + :result:{'keywords': '"permission, rights management"', 'weight': 8.0, 'description': '"Copyright Holders have the authority to grant permission for works posted on Project Gutenberg, influencing availability and distribution."', 'source_id': 'chunk-af4ae173c561e4594c5aea96198cce9d'} +2024-10-30 06:49:15,917 - lightrag - INFO - _check_node_exists:query:MATCH (n:`COPYRIGHT HOLDER`) RETURN count(n) > 0 AS node_exists:result:True +2024-10-30 06:49:16,077 - lightrag - INFO - _check_node_exists:query:MATCH (n:`PROJECT GUTENBERG`) RETURN count(n) > 0 AS node_exists:result:True +2024-10-30 06:49:16,258 - lightrag - INFO - _do_upsert_edge:query: + MATCH (source:`COPYRIGHT HOLDER`) + WITH source + MATCH (target:`PROJECT GUTENBERG`) + MERGE (source)-[r:DIRECTED]->(target) + SET r += $properties RETURN r - :result:, ) type='DIRECTED' properties={'keywords': '"reflection, lost love"', 'description': '"Scrooge reflects on his past feelings for the Young Girl, recognizing the change in his own spirit and desires over time."', 'weight': 8.0, 'source_id': 'chunk-54bdd22db1f84a965b5f4c06c9216d8d'}> -2024-10-29 15:29:49,379 - lightrag - INFO - get_edge:query: - MATCH (source:`SCROOGE`)-[r]-(target:`THE WAREHOUSE`) + :result:None +2024-10-30 06:49:16,435 - lightrag - INFO - _check_edge_existence:query:MATCH (a:`DISTRIBUTION TERMS`)-[r]-(b:`PARAGRAPHS 1.E.1 THROUGH 1.E.9`) RETURN COUNT(r) > 0 AS edgeExists:result:True +2024-10-30 06:49:16,564 - lightrag - INFO - get_edge:query: + MATCH (start:`DISTRIBUTION TERMS`)-[r]->(end:`PARAGRAPHS 1.E.1 THROUGH 1.E.9`) + RETURN properties(r) as edge_properties + LIMIT 1 + :result:{'keywords': '"guidelines, usage conditions"', 'weight': 9.0, 'description': '"Paragraphs 1.E.1 through 1.E.9 specify the Distribution Terms that govern how Project Gutenberg\'s works can be used and shared."', 'source_id': 'chunk-af4ae173c561e4594c5aea96198cce9d'} +2024-10-30 06:49:16,691 - lightrag - INFO - _check_node_exists:query:MATCH (n:`DISTRIBUTION TERMS`) RETURN count(n) > 0 AS node_exists:result:True +2024-10-30 06:49:16,857 - lightrag - INFO - _check_node_exists:query:MATCH (n:`PARAGRAPHS 1.E.1 THROUGH 1.E.9`) RETURN count(n) > 0 AS node_exists:result:True +2024-10-30 06:49:17,039 - lightrag - INFO - _do_upsert_edge:query: + MATCH (source:`DISTRIBUTION TERMS`) + WITH source + MATCH (target:`PARAGRAPHS 1.E.1 THROUGH 1.E.9`) + MERGE (source)-[r:DIRECTED]->(target) + SET r += $properties RETURN r - :result:, ) type='DIRECTED' properties={'keywords': '"memories, apprenticeship"', 'description': '"Scrooge\'s connection to the Warehouse emphasizes his memories of apprenticeship and his past experiences."', 'weight': 8.0, 'source_id': 'chunk-c6c248858d1b13ab7ee9ca13c1aeed6b'}> -2024-10-29 15:29:49,481 - lightrag - INFO - get_edge:query: - MATCH (source:`CHRISTMAS`)-[r]-(target:`THE MANSION HOUSE`) + :result:None +2024-10-30 06:49:17,212 - lightrag - INFO - _check_edge_existence:query:MATCH (a:`PROJECT GUTENBERG`)-[r]-(b:`VOLUNTEERS`) RETURN COUNT(r) > 0 AS edgeExists:result:True +2024-10-30 06:49:17,343 - lightrag - INFO - get_edge:query: + MATCH (start:`PROJECT GUTENBERG`)-[r]->(end:`VOLUNTEERS`) + RETURN properties(r) as edge_properties + LIMIT 1 + :result:{'keywords': '"volunteer contributions, organizational structure"', 'weight': 9.0, 'description': '"Volunteers are essential to the mission of Project Gutenberg, contributing significantly to the maintenance and distribution of the collection."', 'source_id': 'chunk-c51b3dc560b408cce12cdfe5c9c94f57'} +2024-10-30 06:49:17,463 - lightrag - INFO - _check_node_exists:query:MATCH (n:`PROJECT GUTENBERG`) RETURN count(n) > 0 AS node_exists:result:True +2024-10-30 06:49:17,634 - lightrag - INFO - _check_node_exists:query:MATCH (n:`VOLUNTEERS`) RETURN count(n) > 0 AS node_exists:result:True +2024-10-30 06:49:17,808 - lightrag - INFO - _do_upsert_edge:query: + MATCH (source:`PROJECT GUTENBERG`) + WITH source + MATCH (target:`VOLUNTEERS`) + MERGE (source)-[r:DIRECTED]->(target) + SET r += $properties RETURN r - :result:, ) type='DIRECTED' properties={'keywords': '"festivities, governance"', 'description': '"The Mansion House is referenced in the context of Christmas celebrations, illustrating its role in festive festivities and governance."', 'weight': 7.0, 'source_id': 'chunk-90d5764e301321c087f5a8f78b73a145'}> -2024-10-29 15:29:49,576 - lightrag - INFO - get_edge:query: - MATCH (source:`CHRISTMAS`)-[r]-(target:`THE GROCERS`) + :result:None +2024-10-30 06:49:17,985 - lightrag - INFO - _check_edge_existence:query:MATCH (a:`MISSISSIPPI`)-[r]-(b:`PROJECT GUTENBERG LITERARY ARCHIVE FOUNDATION`) RETURN COUNT(r) > 0 AS edgeExists:result:True +2024-10-30 06:49:18,118 - lightrag - INFO - get_edge:query: + MATCH (start:`MISSISSIPPI`)-[r]->(end:`PROJECT GUTENBERG LITERARY ARCHIVE FOUNDATION`) + RETURN properties(r) as edge_properties + LIMIT 1 + :result:{'keywords': '"legal framework, organizational base""legal identity, location"', 'weight': 13.0, 'description': '"The Foundation is organized under the laws of Mississippi, establishing its legal framework.""The Project Gutenberg Literary Archive Foundation is organized under the laws of Mississippi, linking its operations to the state."', 'source_id': 'chunk-c51b3dc560b408cce12cdfe5c9c94f57chunk-85f77f5e3a9aba01133555a2d20e2fd8'} +2024-10-30 06:49:18,248 - lightrag - INFO - _check_node_exists:query:MATCH (n:`MISSISSIPPI`) RETURN count(n) > 0 AS node_exists:result:True +2024-10-30 06:49:18,409 - lightrag - INFO - _check_node_exists:query:MATCH (n:`PROJECT GUTENBERG LITERARY ARCHIVE FOUNDATION`) RETURN count(n) > 0 AS node_exists:result:True +2024-10-30 06:49:18,583 - lightrag - INFO - _do_upsert_edge:query: + MATCH (source:`MISSISSIPPI`) + WITH source + MATCH (target:`PROJECT GUTENBERG LITERARY ARCHIVE FOUNDATION`) + MERGE (source)-[r:DIRECTED]->(target) + SET r += $properties RETURN r - :result:, ) type='DIRECTED' properties={'keywords': '"community engagement, festive spirit"', 'description': '"The Grocers contribute to the festive Christmas atmosphere by providing goods and serving eager customers."', 'weight': 9.0, 'source_id': 'chunk-99b0ec7f7e006561352b5d65e849611d'}> -2024-10-29 15:29:49,671 - lightrag - INFO - get_edge:query: - MATCH (source:`ALI BABA`)-[r]-(target:`SCROOGE`) + :result:None +2024-10-30 06:49:18,766 - lightrag - INFO - _check_edge_existence:query:MATCH (a:`PROJECT GUTENBERG LITERARY ARCHIVE FOUNDATION`)-[r]-(b:`SALT LAKE CITY`) RETURN COUNT(r) > 0 AS edgeExists:result:True +2024-10-30 06:49:18,899 - lightrag - INFO - get_edge:query: + MATCH (start:`PROJECT GUTENBERG LITERARY ARCHIVE FOUNDATION`)-[r]->(end:`SALT LAKE CITY`) + RETURN properties(r) as edge_properties + LIMIT 1 + :result:{'keywords': '"operational base, location""organizational presence, location"', 'weight': 15.0, 'description': '"The Foundation has its business office in Salt Lake City, establishing a geographic link to its operations.""The Project Gutenberg Literary Archive Foundation has its business office located in Salt Lake City, establishing a physical presence there."', 'source_id': 'chunk-c51b3dc560b408cce12cdfe5c9c94f57chunk-85f77f5e3a9aba01133555a2d20e2fd8'} +2024-10-30 06:49:19,019 - lightrag - INFO - _check_node_exists:query:MATCH (n:`PROJECT GUTENBERG LITERARY ARCHIVE FOUNDATION`) RETURN count(n) > 0 AS node_exists:result:True +2024-10-30 06:49:19,189 - lightrag - INFO - _check_node_exists:query:MATCH (n:`SALT LAKE CITY`) RETURN count(n) > 0 AS node_exists:result:True +2024-10-30 06:49:19,360 - lightrag - INFO - _do_upsert_edge:query: + MATCH (source:`PROJECT GUTENBERG LITERARY ARCHIVE FOUNDATION`) + WITH source + MATCH (target:`SALT LAKE CITY`) + MERGE (source)-[r:DIRECTED]->(target) + SET r += $properties RETURN r - :result:, ) type='DIRECTED' properties={'keywords': '"nostalgia, childhood stories"', 'description': '"Scrooge recalls Ali Baba while reflecting on memories of Christmas, indicating a strong personal connection to the story and its impact on him."', 'weight': 8.0, 'source_id': 'chunk-8590d9263cd2cd4fa583c432fc54e6c3'}> -2024-10-29 15:29:49,766 - lightrag - INFO - get_edge:query: - MATCH (source:`FRIDAY`)-[r]-(target:`SCROOGE`) + :result:None +2024-10-30 06:49:19,543 - lightrag - INFO - _check_edge_existence:query:MATCH (a:`DEFECTS`)-[r]-(b:`PROJECT GUTENBERG`) RETURN COUNT(r) > 0 AS edgeExists:result:True +2024-10-30 06:49:19,674 - lightrag - INFO - get_edge:query: + MATCH (start:`DEFECTS`)-[r]->(end:`PROJECT GUTENBERG`) + RETURN properties(r) as edge_properties + LIMIT 1 + :result:{'keywords': '"quality assurance, operational challenges"', 'weight': 6.0, 'description': '"The existence of Defects poses challenges to Project Gutenberg\'s integrity and reliability as it seeks to provide quality electronic works."', 'source_id': 'chunk-c51b3dc560b408cce12cdfe5c9c94f57'} +2024-10-30 06:49:19,802 - lightrag - INFO - _check_node_exists:query:MATCH (n:`DEFECTS`) RETURN count(n) > 0 AS node_exists:result:True +2024-10-30 06:49:19,970 - lightrag - INFO - _check_node_exists:query:MATCH (n:`PROJECT GUTENBERG`) RETURN count(n) > 0 AS node_exists:result:True +2024-10-30 06:49:20,150 - lightrag - INFO - _do_upsert_edge:query: + MATCH (source:`DEFECTS`) + WITH source + MATCH (target:`PROJECT GUTENBERG`) + MERGE (source)-[r:DIRECTED]->(target) + SET r += $properties RETURN r - :result:, ) type='DIRECTED' properties={'keywords': '"storytelling, childhood memories"', 'description': '"Scrooge\'s mention of Friday signifies his recollection of childhood stories and influences during Christmas time."', 'weight': 5.0, 'source_id': 'chunk-8590d9263cd2cd4fa583c432fc54e6c3'}> -2024-10-29 15:29:49,861 - lightrag - INFO - get_edge:query: - MATCH (source:`BOB`)-[r]-(target:`SCROOGE`) + :result:None +2024-10-30 06:49:20,326 - lightrag - INFO - _check_edge_existence:query:MATCH (a:`LEGAL FEES`)-[r]-(b:`VOLUNTEERS`) RETURN COUNT(r) > 0 AS edgeExists:result:True +2024-10-30 06:49:20,457 - lightrag - INFO - get_edge:query: + MATCH (start:`LEGAL FEES`)-[r]->(end:`VOLUNTEERS`) + RETURN properties(r) as edge_properties + LIMIT 1 + :result:{'keywords': '"legal implications, volunteer risks"', 'weight': 5.0, 'description': '"Volunteers may incur Legal Fees if involved in litigation regarding the distribution of Project Gutenberg works or related matters."', 'source_id': 'chunk-c51b3dc560b408cce12cdfe5c9c94f57'} +2024-10-30 06:49:20,584 - lightrag - INFO - _check_node_exists:query:MATCH (n:`LEGAL FEES`) RETURN count(n) > 0 AS node_exists:result:True +2024-10-30 06:49:20,750 - lightrag - INFO - _check_node_exists:query:MATCH (n:`VOLUNTEERS`) RETURN count(n) > 0 AS node_exists:result:True +2024-10-30 06:49:20,926 - lightrag - INFO - _do_upsert_edge:query: + MATCH (source:`LEGAL FEES`) + WITH source + MATCH (target:`VOLUNTEERS`) + MERGE (source)-[r:DIRECTED]->(target) + SET r += $properties RETURN r - :result:, ) type='DIRECTED' properties={'keywords': '"humor, generosity"', 'description': '"Scrooge makes a humorous comment about sending a large turkey to Bob, indicating a lighthearted relationship."', 'weight': 6.0, 'source_id': 'chunk-8f738cb25d60a7dab782162d9d0a25ed'}> -2024-10-29 15:29:49,953 - lightrag - INFO - get_edge:query: - MATCH (source:`BOB CRATCHIT`)-[r]-(target:`SCROOGE`) + :result:None +2024-10-30 06:49:21,102 - lightrag - INFO - _check_edge_existence:query:MATCH (a:`CONTRIBUTIONS`)-[r]-(b:`PROJECT GUTENBERG LITERARY ARCHIVE FOUNDATION`) RETURN COUNT(r) > 0 AS edgeExists:result:True +2024-10-30 06:49:21,232 - lightrag - INFO - get_edge:query: + MATCH (start:`CONTRIBUTIONS`)-[r]->(end:`PROJECT GUTENBERG LITERARY ARCHIVE FOUNDATION`) + RETURN properties(r) as edge_properties + LIMIT 1 + :result:{'keywords': '"funding, operational sustainability"', 'weight': 9.0, 'description': '"Contributions are essential for the operational viability of the Foundation, directly supporting its mission."', 'source_id': 'chunk-85f77f5e3a9aba01133555a2d20e2fd8'} +2024-10-30 06:49:21,363 - lightrag - INFO - _check_node_exists:query:MATCH (n:`CONTRIBUTIONS`) RETURN count(n) > 0 AS node_exists:result:True +2024-10-30 06:49:21,521 - lightrag - INFO - _check_node_exists:query:MATCH (n:`PROJECT GUTENBERG LITERARY ARCHIVE FOUNDATION`) RETURN count(n) > 0 AS node_exists:result:True +2024-10-30 06:49:21,697 - lightrag - INFO - _do_upsert_edge:query: + MATCH (source:`CONTRIBUTIONS`) + WITH source + MATCH (target:`PROJECT GUTENBERG LITERARY ARCHIVE FOUNDATION`) + MERGE (source)-[r:DIRECTED]->(target) + SET r += $properties RETURN r - :result:, ) type='DIRECTED' properties={'keywords': '"employment, generosity""employment, power dynamic""employment, social reflection""family dynamics, acknowledgment""generosity, relationship change""gratitude, redemption"', 'description': '"Bob Cratchit tries to maintain a positive atmosphere during the Christmas feast despite the negative association with Scrooge.""Bob praises Scrooge as \'The Founder of the Feast\', showing appreciation despite Scrooge’s previous miserliness.""Scrooge decides to send a turkey to Bob Cratchit, indicating a newfound kindness towards him and his family.""Scrooge is Bob Cratchit\'s employer, and he reflects on the challenges Bob faces regarding family and food on Christmas Day.".""Scrooge is the employer of Bob Cratchit, demonstrating a power dynamic characterized by Scrooge\'s harsh treatment and Bob\'s subservient role.""Scrooge reprimands Bob for arriving late, but ultimately decides to raise his salary, signaling a significant change in their employer-employee relationship."', 'weight': 40.0, 'source_id': 'chunk-503f0bfa5453467c7c61d160a3540ecachunk-90b95db5c53e4364a6bee36b7aa4d70fchunk-b0f459f5af1c3a5e0b92cbe4ee48b77bchunk-d9aac3484185ac66045df92214d245d5chunk-94bea83e7153fc2064aa382b494936a1chunk-19d72c57ae3408758b18d2568e86dc6b'}> -2024-10-29 15:29:50,048 - lightrag - INFO - get_edge:query: - MATCH (source:`SCROOGE`)-[r]-(target:`TINY TIM`) + :result:None +2024-10-30 06:49:21,881 - lightrag - INFO - _check_edge_existence:query:MATCH (a:`PROJECT GUTENBERG LITERARY ARCHIVE FOUNDATION`)-[r]-(b:`U.S. INTERNAL REVENUE SERVICE`) RETURN COUNT(r) > 0 AS edgeExists:result:True +2024-10-30 06:49:22,016 - lightrag - INFO - get_edge:query: + MATCH (start:`PROJECT GUTENBERG LITERARY ARCHIVE FOUNDATION`)-[r]->(end:`U.S. INTERNAL REVENUE SERVICE`) + RETURN properties(r) as edge_properties + LIMIT 1 + :result:{'keywords': '"financial oversight, tax compliance"', 'weight': 10.0, 'description': '"The Foundation\'s tax-exempt status is granted by the U.S. Internal Revenue Service, which oversees its financial compliance."', 'source_id': 'chunk-85f77f5e3a9aba01133555a2d20e2fd8'} +2024-10-30 06:49:22,134 - lightrag - INFO - _check_node_exists:query:MATCH (n:`PROJECT GUTENBERG LITERARY ARCHIVE FOUNDATION`) RETURN count(n) > 0 AS node_exists:result:True +2024-10-30 06:49:22,303 - lightrag - INFO - _check_node_exists:query:MATCH (n:`U.S. INTERNAL REVENUE SERVICE`) RETURN count(n) > 0 AS node_exists:result:True +2024-10-30 06:49:22,485 - lightrag - INFO - _do_upsert_edge:query: + MATCH (source:`PROJECT GUTENBERG LITERARY ARCHIVE FOUNDATION`) + WITH source + MATCH (target:`U.S. INTERNAL REVENUE SERVICE`) + MERGE (source)-[r:DIRECTED]->(target) + SET r += $properties RETURN r - :result:, ) type='DIRECTED' properties={'keywords': '"personal transformation, empathy""transformation, mentorship""transformation, redemption"', 'description': '"Scrooge becomes a father figure to Tiny Tim, showing a deep commitment to his well-being after realizing the importance of family and caring for others.""Scrooge reflects on Tiny Tim and expresses concern for his wellbeing, indicating a pivotal change in his character and attitudes towards the less fortunate.""Scrooge\'s transformation is influenced by his reflections on the impact of Tiny Tim\'s life and death."', 'weight': 26.0, 'source_id': 'chunk-94bea83e7153fc2064aa382b494936a1chunk-503f0bfa5453467c7c61d160a3540ecachunk-91572b3cd42786ba4cb2f180ca25cbf4'}> -2024-10-29 15:29:50,145 - lightrag - INFO - get_edge:query: - MATCH (source:`SCROOGE`)-[r]-(target:`THE CITY`) + :result:None +2024-10-30 06:49:22,657 - lightrag - INFO - _check_edge_existence:query:MATCH (a:`MICHAEL S. HART`)-[r]-(b:`PROJECT GUTENBERG LITERARY ARCHIVE FOUNDATION`) RETURN COUNT(r) > 0 AS edgeExists:result:True +2024-10-30 06:49:22,788 - lightrag - INFO - get_edge:query: + MATCH (start:`MICHAEL S. HART`)-[r]->(end:`PROJECT GUTENBERG LITERARY ARCHIVE FOUNDATION`) + RETURN properties(r) as edge_properties + LIMIT 1 + :result:{'keywords': '"founder, mission creation"', 'weight': 9.0, 'description': '"Michael S. Hart is the originator of the Project Gutenberg concept, instrumental in establishing its mission and operations."', 'source_id': 'chunk-85f77f5e3a9aba01133555a2d20e2fd8'} +2024-10-30 06:49:22,917 - lightrag - INFO - _check_node_exists:query:MATCH (n:`MICHAEL S. HART`) RETURN count(n) > 0 AS node_exists:result:True +2024-10-30 06:49:23,076 - lightrag - INFO - _check_node_exists:query:MATCH (n:`PROJECT GUTENBERG LITERARY ARCHIVE FOUNDATION`) RETURN count(n) > 0 AS node_exists:result:True +2024-10-30 06:49:23,256 - lightrag - INFO - _do_upsert_edge:query: + MATCH (source:`MICHAEL S. HART`) + WITH source + MATCH (target:`PROJECT GUTENBERG LITERARY ARCHIVE FOUNDATION`) + MERGE (source)-[r:DIRECTED]->(target) + SET r += $properties RETURN r - :result:, ) type='DIRECTED' properties={'keywords': '"disconnection, personal evolution""reflection, urban life"', 'description': '"Scrooge\'s reflections in the City highlight his relationship with his past and the contrast of his current life.""Scrooge\'s relationship with The City is marked by detachment, representing his lost connection to his past self and experiences."', 'weight': 10.0, 'source_id': 'chunk-bb21d58d36c6306fd8810ddd51c4a971chunk-c6c248858d1b13ab7ee9ca13c1aeed6b'}> -2024-10-29 15:29:50,236 - lightrag - INFO - get_edge:query: - MATCH (source:`RUSTY KEYS, NAILS, CHAINS, HINGES`)-[r]-(target:`THE LOW-BROWED SHOP`) + :result:None +2024-10-30 06:49:23,434 - lightrag - INFO - _check_edge_existence:query:MATCH (a:`DONATIONS`)-[r]-(b:`PROJECT GUTENBERG LITERARY ARCHIVE FOUNDATION`) RETURN COUNT(r) > 0 AS edgeExists:result:True +2024-10-30 06:49:23,570 - lightrag - INFO - get_edge:query: + MATCH (start:`DONATIONS`)-[r]->(end:`PROJECT GUTENBERG LITERARY ARCHIVE FOUNDATION`) + RETURN properties(r) as edge_properties + LIMIT 1 + :result:{'keywords': '"financial support, project funding"', 'weight': 9.0, 'description': '"Donations are critical financial support for the Foundation, enabling its initiatives and projects."', 'source_id': 'chunk-85f77f5e3a9aba01133555a2d20e2fd8'} +2024-10-30 06:49:23,701 - lightrag - INFO - _check_node_exists:query:MATCH (n:`DONATIONS`) RETURN count(n) > 0 AS node_exists:result:True +2024-10-30 06:49:23,857 - lightrag - INFO - _check_node_exists:query:MATCH (n:`PROJECT GUTENBERG LITERARY ARCHIVE FOUNDATION`) RETURN count(n) > 0 AS node_exists:result:True +2024-10-30 06:49:24,033 - lightrag - INFO - _do_upsert_edge:query: + MATCH (source:`DONATIONS`) + WITH source + MATCH (target:`PROJECT GUTENBERG LITERARY ARCHIVE FOUNDATION`) + MERGE (source)-[r:DIRECTED]->(target) + SET r += $properties RETURN r - :result:, ) type='DIRECTED' properties={'keywords': '"symbolism, societal neglect"', 'description': '"The Rusty Keys, Nails, Chains, and Hinges within the Low-Browed Shop highlight the decay and abandonment of valued items, metaphorically reflecting societal neglect."', 'weight': 7.0, 'source_id': 'chunk-f1a4fbcf1ed86864b9bfd5e8dba4c683'}> -2024-10-29 15:29:50,330 - lightrag - INFO - get_edge:query: - MATCH (source:`MARLEY'S GHOST`)-[r]-(target:`THE CANDLE`) + :result:None +2024-10-30 06:49:24,210 - lightrag - INFO - _check_edge_existence:query:MATCH (a:`MICHAEL S. HART`)-[r]-(b:`PROJECT GUTENBERG EBOOKS`) RETURN COUNT(r) > 0 AS edgeExists:result:True +2024-10-30 06:49:24,337 - lightrag - INFO - get_edge:query: + MATCH (start:`MICHAEL S. HART`)-[r]->(end:`PROJECT GUTENBERG EBOOKS`) + RETURN properties(r) as edge_properties + LIMIT 1 + :result:{'keywords': '"content creation, legacy"', 'weight': 8.0, 'description': '"Michael S. Hart has been instrumental in the production and distribution of Project Gutenberg eBooks over forty years."', 'source_id': 'chunk-85f77f5e3a9aba01133555a2d20e2fd8'} +2024-10-30 06:49:24,460 - lightrag - INFO - _check_node_exists:query:MATCH (n:`MICHAEL S. HART`) RETURN count(n) > 0 AS node_exists:result:True +2024-10-30 06:49:24,622 - lightrag - INFO - _check_node_exists:query:MATCH (n:`PROJECT GUTENBERG EBOOKS`) RETURN count(n) > 0 AS node_exists:result:True +2024-10-30 06:49:24,801 - lightrag - INFO - _do_upsert_edge:query: + MATCH (source:`MICHAEL S. HART`) + WITH source + MATCH (target:`PROJECT GUTENBERG EBOOKS`) + MERGE (source)-[r:DIRECTED]->(target) + SET r += $properties RETURN r - :result:, ) type='DIRECTED' properties={'keywords': '"hope, contrast"', 'description': '"The Candle\'s light contrasts with the darkness of the haunting, representing the flicker of hope amidst Scrooge\'s despair."', 'weight': 7.0, 'source_id': 'chunk-9c43dac2fcd5b578242d907ea6f8fc7b'}> -2024-10-29 15:29:50,425 - lightrag - INFO - get_edge:query: - MATCH (source:`ORSON`)-[r]-(target:`SCROOGE`) + :result:None +2024-10-30 06:49:24,978 - lightrag - INFO - _check_edge_existence:query:MATCH (a:`501(C)(3)`)-[r]-(b:`PROJECT GUTENBERG LITERARY ARCHIVE FOUNDATION`) RETURN COUNT(r) > 0 AS edgeExists:result:True +2024-10-30 06:49:25,110 - lightrag - INFO - get_edge:query: + MATCH (start:`501(C)(3)`)-[r]->(end:`PROJECT GUTENBERG LITERARY ARCHIVE FOUNDATION`) + RETURN properties(r) as edge_properties + LIMIT 1 + :result:{'keywords': '"tax status, charitable organization"', 'weight': 9.0, 'description': '"The Project Gutenberg Literary Archive Foundation operates under the 501(c)(3) tax-exempt status, allowing it to receive tax-deductible donations."', 'source_id': 'chunk-85f77f5e3a9aba01133555a2d20e2fd8'} +2024-10-30 06:49:25,241 - lightrag - INFO - _check_node_exists:query:MATCH (n:`501(C)(3)`) RETURN count(n) > 0 AS node_exists:result:True +2024-10-30 06:49:25,399 - lightrag - INFO - _check_node_exists:query:MATCH (n:`PROJECT GUTENBERG LITERARY ARCHIVE FOUNDATION`) RETURN count(n) > 0 AS node_exists:result:True +2024-10-30 06:49:25,572 - lightrag - INFO - _do_upsert_edge:query: + MATCH (source:`501(C)(3)`) + WITH source + MATCH (target:`PROJECT GUTENBERG LITERARY ARCHIVE FOUNDATION`) + MERGE (source)-[r:DIRECTED]->(target) + SET r += $properties RETURN r - :result:, ) type='DIRECTED' properties={'keywords': '"family memories, nostalgia"', 'description': '"Same as above, Orson is part of Scrooge\'s memories of his brothers during Christmas time, emphasizing themes of togetherness and nostalgia."', 'weight': 6.0, 'source_id': 'chunk-8590d9263cd2cd4fa583c432fc54e6c3'}> -2024-10-29 15:29:50,517 - lightrag - INFO - get_edge:query: - MATCH (source:`SCROOGE`)-[r]-(target:`THE SPIRIT`) + :result:None +2024-10-30 06:49:25,745 - lightrag - INFO - _check_edge_existence:query:MATCH (a:`EIN 64-6221541`)-[r]-(b:`PROJECT GUTENBERG LITERARY ARCHIVE FOUNDATION`) RETURN COUNT(r) > 0 AS edgeExists:result:True +2024-10-30 06:49:25,878 - lightrag - INFO - get_edge:query: + MATCH (start:`EIN 64-6221541`)-[r]->(end:`PROJECT GUTENBERG LITERARY ARCHIVE FOUNDATION`) + RETURN properties(r) as edge_properties + LIMIT 1 + :result:{'keywords': '"tax identification, compliance"', 'weight': 8.0, 'description': '"The EIN serves as the foundation\'s identification for tax purposes, linking it to federal tax compliance."', 'source_id': 'chunk-85f77f5e3a9aba01133555a2d20e2fd8'} +2024-10-30 06:49:26,006 - lightrag - INFO - _check_node_exists:query:MATCH (n:`EIN 64-6221541`) RETURN count(n) > 0 AS node_exists:result:True +2024-10-30 06:49:26,165 - lightrag - INFO - _check_node_exists:query:MATCH (n:`PROJECT GUTENBERG LITERARY ARCHIVE FOUNDATION`) RETURN count(n) > 0 AS node_exists:result:True +2024-10-30 06:49:26,344 - lightrag - INFO - _do_upsert_edge:query: + MATCH (source:`EIN 64-6221541`) + WITH source + MATCH (target:`PROJECT GUTENBERG LITERARY ARCHIVE FOUNDATION`) + MERGE (source)-[r:DIRECTED]->(target) + SET r += $properties RETURN r - :result:, ) type='DIRECTED' properties={'keywords': '"guidance, transformation""moral guidance, transformation""self-reflection, transformation""supernatural guidance, self-reflection""supernatural intervention, guidance"', 'description': '"Scrooge engages with the Spirit as it reveals memories that prompt significant self-reflection and consideration of change.""Scrooge is guided by the Spirit, who shows him different scenes related to the joy and struggles of Christmas, aiming to change his heart.""The Spirit challenges Scrooge\'s perspective on life, urging him to consider the implications of his actions in light of death.""The Spirit represents an upcoming change in Scrooge\'s life, aiming to guide him towards redemption.""The Spirit represents moral lessons and urges Scrooge to change his ways for a better future."', 'weight': 47.0, 'source_id': 'chunk-b2f98bc7abb0c67d4c86055c7fd72218chunk-e1f29eeadc1d8ab46dc8a0bbd3c56b64chunk-91572b3cd42786ba4cb2f180ca25cbf4chunk-da2472b4ef2a535b62908f14d0fb0ca9chunk-91614df5cb74cbe5e109a338a82041e9'}> -2024-10-29 15:29:50,611 - lightrag - INFO - get_edge:query: - MATCH (source:`DICK`)-[r]-(target:`SCROOGE`) + :result:None +2024-10-30 06:49:26,518 - lightrag - INFO - _check_edge_existence:query:MATCH (a:`PROJECT GUTENBERG LITERARY ARCHIVE FOUNDATION`)-[r]-(b:`U.S. FEDERAL LAWS`) RETURN COUNT(r) > 0 AS edgeExists:result:True +2024-10-30 06:49:26,646 - lightrag - INFO - get_edge:query: + MATCH (start:`PROJECT GUTENBERG LITERARY ARCHIVE FOUNDATION`)-[r]->(end:`U.S. FEDERAL LAWS`) + RETURN properties(r) as edge_properties + LIMIT 1 + :result:{'keywords': '"legal compliance, federal regulations"', 'weight': 9.0, 'description': '"The Foundation must comply with U.S. federal laws regarding charitable donations and tax-exempt status."', 'source_id': 'chunk-85f77f5e3a9aba01133555a2d20e2fd8'} +2024-10-30 06:49:26,763 - lightrag - INFO - _check_node_exists:query:MATCH (n:`PROJECT GUTENBERG LITERARY ARCHIVE FOUNDATION`) RETURN count(n) > 0 AS node_exists:result:True +2024-10-30 06:49:26,931 - lightrag - INFO - _check_node_exists:query:MATCH (n:`U.S. FEDERAL LAWS`) RETURN count(n) > 0 AS node_exists:result:True +2024-10-30 06:49:27,105 - lightrag - INFO - _do_upsert_edge:query: + MATCH (source:`PROJECT GUTENBERG LITERARY ARCHIVE FOUNDATION`) + WITH source + MATCH (target:`U.S. FEDERAL LAWS`) + MERGE (source)-[r:DIRECTED]->(target) + SET r += $properties RETURN r - :result:, ) type='DIRECTED' properties={'keywords': '"nostalgia, friendship"', 'description': '"Scrooge remembers Dick as a part of his past, highlighting their shared experiences during happier times."', 'weight': 7.0, 'source_id': 'chunk-b2f98bc7abb0c67d4c86055c7fd72218'}> -2024-10-29 15:29:50,704 - lightrag - INFO - get_edge:query: - MATCH (source:`SCROOGE`)-[r]-(target:`THE COUNTING-HOUSE`) + :result:None +2024-10-30 06:49:27,281 - lightrag - INFO - _check_edge_existence:query:MATCH (a:`PROJECT GUTENBERG LITERARY ARCHIVE FOUNDATION`)-[r]-(b:`WEBSITE`) RETURN COUNT(r) > 0 AS edgeExists:result:True +2024-10-30 06:49:27,408 - lightrag - INFO - get_edge:query: + MATCH (start:`PROJECT GUTENBERG LITERARY ARCHIVE FOUNDATION`)-[r]->(end:`WEBSITE`) + RETURN properties(r) as edge_properties + LIMIT 1 + :result:{'keywords': '"information dissemination, online presence"', 'weight': 8.0, 'description': '"The Foundation uses its website to facilitate donations and disseminate information about its services and eBooks."', 'source_id': 'chunk-85f77f5e3a9aba01133555a2d20e2fd8'} +2024-10-30 06:49:27,520 - lightrag - INFO - _check_node_exists:query:MATCH (n:`PROJECT GUTENBERG LITERARY ARCHIVE FOUNDATION`) RETURN count(n) > 0 AS node_exists:result:True +2024-10-30 06:49:27,683 - lightrag - INFO - _check_node_exists:query:MATCH (n:`WEBSITE`) RETURN count(n) > 0 AS node_exists:result:True +2024-10-30 06:49:27,863 - lightrag - INFO - _do_upsert_edge:query: + MATCH (source:`PROJECT GUTENBERG LITERARY ARCHIVE FOUNDATION`) + WITH source + MATCH (target:`WEBSITE`) + MERGE (source)-[r:DIRECTED]->(target) + SET r += $properties RETURN r - :result:, ) type='DIRECTED' properties={'keywords': '"work environment, character development""work environment, personality reflection"', 'description': '"Scrooge\'s work environment reflects his personality, being cold and uninviting, mirroring his discontent with life.""The Counting-House is where Scrooge works, illustrating the environment that shapes his bleak personality."', 'weight': 14.0, 'source_id': 'chunk-d9aac3484185ac66045df92214d245d5chunk-74e2466de2f67fd710ef2f20c0a8d9e0'}> -2024-10-29 15:33:52,987 - lightrag - INFO - Logger initialized for working directory: ./neo4jWorkDir -2024-10-29 15:33:52,987 - lightrag - DEBUG - LightRAG init with param: - working_dir = ./neo4jWorkDir, - chunk_token_size = 1200, - chunk_overlap_token_size = 100, - tiktoken_model_name = gpt-4o-mini, - entity_extract_max_gleaning = 1, - entity_summary_to_max_tokens = 500, - node_embedding_algorithm = node2vec, - node2vec_params = {'dimensions': 1536, 'num_walks': 10, 'walk_length': 40, 'window_size': 2, 'iterations': 3, 'random_seed': 3}, - embedding_func = {'embedding_dim': 1536, 'max_token_size': 8192, 'func': }, - embedding_batch_num = 32, - embedding_func_max_async = 16, - llm_model_func = , - llm_model_name = meta-llama/Llama-3.2-1B-Instruct, - llm_model_max_token_size = 32768, - llm_model_max_async = 16, - key_string_value_json_storage_cls = , - vector_db_storage_cls = , - vector_db_storage_cls_kwargs = {}, - graph_storage_cls = , - enable_llm_cache = True, - addon_params = {}, - convert_response_to_json_func = - -2024-10-29 15:33:52,988 - lightrag - INFO - Load KV full_docs with 1 data -2024-10-29 15:33:52,989 - lightrag - INFO - Load KV text_chunks with 42 data -2024-10-29 15:33:52,990 - lightrag - INFO - Load KV llm_response_cache with 88 data -2024-10-29 15:33:53,011 - lightrag - INFO - Creating a new event loop in a sub-thread. -2024-10-29 15:33:53,011 - lightrag - WARNING - All docs are already in the storage -2024-10-29 15:33:53,032 - lightrag - INFO - Creating a new event loop in a sub-thread. -2024-10-29 15:33:53,691 - lightrag - INFO - Truncate 39 to 3 chunks -2024-10-29 15:33:53,704 - lightrag - INFO - Creating a new event loop in a sub-thread. -2024-10-29 15:33:54,760 - lightrag - INFO - get_node:query:MATCH (n:`EMOTION`) RETURN n:result: -2024-10-29 15:33:54,846 - lightrag - INFO - get_node:query:MATCH (n:`DARKNESS`) RETURN n:result: -2024-10-29 15:33:54,937 - lightrag - INFO - get_node:query:MATCH (n:`THE PHANTOM`) RETURN n:result: -2024-10-29 15:33:55,025 - lightrag - INFO - get_node:query:MATCH (n:`THE COSMIC SIGNIFICANCE`) RETURN n:result: -2024-10-29 15:33:55,114 - lightrag - INFO - get_node:query:MATCH (n:`CHRISTMAS HOLIDAYS`) RETURN n:result: -2024-10-29 15:33:55,199 - lightrag - INFO - get_node:query:MATCH (n:`PONDEROUS CHAIN`) RETURN n:result: -2024-10-29 15:33:55,287 - lightrag - INFO - get_node:query:MATCH (n:`HUMANITY`) RETURN n:result: -2024-10-29 15:33:55,378 - lightrag - INFO - get_node:query:MATCH (n:`CHRISTMAS`) RETURN n:result:"Christmas is a festive occasion that has led to a joyful transformation in Scrooge\'s character and actions.""Christmas is a festive time celebrated by the Cratchit family, symbolizing joy, family togetherness, and generosity.""Christmas is a significant holiday that serves as the backdrop for Scrooge\'s transformation and the events that unfold during the narrative.""Christmas is a significant holiday that triggers Scrooge\'s memories and reflections on joy, loneliness, and his past.""Christmas is central to the text, symbolizing generosity, charity, and warmth that Scrooge rejects.""Christmas is depicted as a festive season when charity and social duty are emphasized, contrasting with Scrooge\'s values.""Christmas is depicted as a time associated with joy and abundance, contrasting with Scrooge\'s initial views.""Christmas is depicted as a time of joy and communal spirit, marked by people\'s activities and interactions in the streets.""Christmas is depicted as a time of joy and generosity, contrasting sharply with Scrooge\'s past behavior and current solitude.""Christmas is portrayed as a festive time that Scrooge dismisses, emphasizing the contrast between joy and his miserable attitude.""Christmas is portrayed as a time of joy, reflection, and connection, emphasizing the positive impact of the holiday spirit on individuals and communities.""Christmas is presented as a time for merriment and social gatherings, which Scrooge\'s nephew advocates for despite his uncle\'s opposition.""Christmas is the central holiday during which the events unfold, leading to significant character transformations and themes of generosity.""Christmas is the season during which festive activities and celebrations are occurring, including dances and gatherings.""Christmas represents a time of reflection and change for Scrooge, emphasizing themes of redemption.""Christmas serves as a thematic backdrop for the story, symbolizing redemption, generosity, and the spirit of giving."', 'source_id': 'chunk-91614df5cb74cbe5e109a338a82041e9chunk-503f0bfa5453467c7c61d160a3540ecachunk-773d0df1dd25c356f7b771d780583e09chunk-8f738cb25d60a7dab782162d9d0a25edchunk-e7637ff18c5ded77a68cce0a87883fadchunk-8590d9263cd2cd4fa583c432fc54e6c3chunk-54bdd22db1f84a965b5f4c06c9216d8dchunk-02baee20cc9463dbe08170a8e1043e32chunk-90d5764e301321c087f5a8f78b73a145chunk-91572b3cd42786ba4cb2f180ca25cbf4chunk-1d4b58de5429cd1261370c231c8673e8chunk-da2472b4ef2a535b62908f14d0fb0ca9chunk-94bea83e7153fc2064aa382b494936a1chunk-89777b838d5447c7bd1ec11282c4ee89chunk-99b0ec7f7e006561352b5d65e849611dchunk-74e2466de2f67fd710ef2f20c0a8d9e0chunk-5dac41b3f9eeaf794f0147400b1718cd'}> -2024-10-29 15:33:55,469 - lightrag - INFO - get_node:query:MATCH (n:`DEATH`) RETURN n:result:"Death is described as a powerful force in the narrative, represented through the imagery of a cold, rigid presence and the contemplation of mortality.""Death refers to the passing of a character that triggers a range of emotions and reflections among the living, influencing their lives and relationships."', 'source_id': 'chunk-e1f29eeadc1d8ab46dc8a0bbd3c56b64chunk-83ac129dc9b56f84c46760d153d68e93chunk-02baee20cc9463dbe08170a8e1043e32'}> -2024-10-29 15:33:55,559 - lightrag - INFO - get_node:query:MATCH (n:`SCROOGE`) RETURN n:result:chunk-b2f98bc7abb0c67d4c86055c7fd72218chunk-91614df5cb74cbe5e109a338a82041e9chunk-8f738cb25d60a7dab782162d9d0a25edchunk-e7637ff18c5ded77a68cce0a87883fadchunk-d9aac3484185ac66045df92214d245d5chunk-90b95db5c53e4364a6bee36b7aa4d70fchunk-89777b838d5447c7bd1ec11282c4ee89chunk-c6c248858d1b13ab7ee9ca13c1aeed6bchunk-5dac41b3f9eeaf794f0147400b1718cdchunk-773d0df1dd25c356f7b771d780583e09chunk-843b5b2f944c7413d9ca876e2e2f151fchunk-f1a4fbcf1ed86864b9bfd5e8dba4c683chunk-359187e7571bda4b0b08b2e0b6581e52chunk-503f0bfa5453467c7c61d160a3540ecachunk-9c43dac2fcd5b578242d907ea6f8fc7bchunk-b0f459f5af1c3a5e0b92cbe4ee48b77bchunk-1aa50206d02ed89418f65f97c6441d1cchunk-54bdd22db1f84a965b5f4c06c9216d8dchunk-cb661c37436355ccec2769b1d0350c5fchunk-90d5764e301321c087f5a8f78b73a145chunk-91572b3cd42786ba4cb2f180ca25cbf4chunk-da2472b4ef2a535b62908f14d0fb0ca9chunk-99b0ec7f7e006561352b5d65e849611dchunk-43c9bee23adfa77aa9dedd22401bba7dchunk-83ac129dc9b56f84c46760d153d68e93chunk-e1f29eeadc1d8ab46dc8a0bbd3c56b64chunk-8590d9263cd2cd4fa583c432fc54e6c3chunk-02baee20cc9463dbe08170a8e1043e32chunk-94bea83e7153fc2064aa382b494936a1chunk-74e2466de2f67fd710ef2f20c0a8d9e0chunk-19d72c57ae3408758b18d2568e86dc6b'}> -2024-10-29 15:33:55,646 - lightrag - INFO - get_node:query:MATCH (n:`RUSTY KEYS, NAILS, CHAINS, HINGES`) RETURN n:result: -2024-10-29 15:33:55,735 - lightrag - INFO - get_node:query:MATCH (n:`THE PENANCE`) RETURN n:result: -2024-10-29 15:33:55,825 - lightrag - INFO - get_node:query:MATCH (n:`MAN`) RETURN n:result: -2024-10-29 15:33:55,912 - lightrag - INFO - get_node:query:MATCH (n:`THE SCHOOLMASTER`) RETURN n:result: -2024-10-29 15:33:55,999 - lightrag - INFO - get_node:query:MATCH (n:`THE GRAVE`) RETURN n:result: -2024-10-29 15:33:56,091 - lightrag - INFO - get_node:query:MATCH (n:`KEYHOLE`) RETURN n:result: -2024-10-29 15:33:56,176 - lightrag - INFO - get_node:query:MATCH (n:`SCHOOL`) RETURN n:result: -2024-10-29 15:33:56,263 - lightrag - INFO - get_node:query:MATCH (n:`THE CHAIN`) RETURN n:result:"The Chain symbolizes the burdens of the past that haunt the spirits, showcasing the consequences of one\'s actions in life."', 'source_id': 'chunk-359187e7571bda4b0b08b2e0b6581e52chunk-cb661c37436355ccec2769b1d0350c5f'}> -2024-10-29 15:33:56,351 - lightrag - INFO - get_node:query:MATCH (n:`THE THREE SPIRITS`) RETURN n:result: -2024-10-29 15:33:56,439 - lightrag - INFO - get_node:query:MATCH (n:`THE COLD`) RETURN n:result: -2024-10-29 15:33:56,528 - lightrag - INFO - get_node:query:MATCH (n:`DEEDS`) RETURN n:result: -2024-10-29 15:33:56,615 - lightrag - INFO - get_node:query:MATCH (n:`THE BLESSED STAR`) RETURN n:result: -2024-10-29 15:33:56,704 - lightrag - INFO - get_node:query:MATCH (n:`THE CANDLE`) RETURN n:result: -2024-10-29 15:33:56,795 - lightrag - INFO - get_node:query:MATCH (n:`FROST`) RETURN n:result: -2024-10-29 15:33:56,896 - lightrag - INFO - get_node:query:MATCH (n:`THE TRANSPARENT WINDOW`) RETURN n:result: -2024-10-29 15:33:56,989 - lightrag - INFO - get_node:query:MATCH (n:`THE CANDLE-LIGHT`) RETURN n:result: -2024-10-29 15:33:57,097 - lightrag - INFO - get_node:query:MATCH (n:`POVERTY`) RETURN n:result: -2024-10-29 15:33:57,189 - lightrag - INFO - get_node:query:MATCH (n:`SUNDAY CLOTHES BOY`) RETURN n:result: -2024-10-29 15:33:57,277 - lightrag - INFO - get_node:query:MATCH (n:`THE SOLITARY CHILD`) RETURN n:result: -2024-10-29 15:33:57,365 - lightrag - INFO - get_node:query:MATCH (n:`CITY`) RETURN n:result:"The City represents the urban setting where Scrooge witnesses the indifference of its inhabitants regarding his death.""The City represents the urban setting where Scrooge\'s transformation takes place, symbolizing the broader society impacted by his changes."', 'source_id': 'chunk-843b5b2f944c7413d9ca876e2e2f151fchunk-94bea83e7153fc2064aa382b494936a1chunk-02baee20cc9463dbe08170a8e1043e32'}> -2024-10-29 15:33:57,452 - lightrag - INFO - get_node:query:MATCH (n:`FEARFUL PLACE`) RETURN n:result: -2024-10-29 15:33:57,540 - lightrag - INFO - get_node:query:MATCH (n:`IRON CABLE`) RETURN n:result: -2024-10-29 15:33:57,628 - lightrag - INFO - get_node:query:MATCH (n:`SPIRIT`) RETURN n:result:"The Spirit embodies the lessons of compassion and social responsibility, guiding Scrooge through his reflections and realizations.""The Spirit is the manifestation of Scrooge\'s past that guides him through his memories, representing his former self and the influence of time.""The Spirit represents a ghostly entity, guiding Scrooge through visions of potential future events and urging him to acknowledge societal issues.""The Spirit represents a supernatural entity guiding Scrooge through his reflections on life, death, and human emotions, prompting self-awareness.""The Spirit represents the embodiment of the Christmas present, personifying the themes of generosity and merriment."', 'source_id': 'chunk-bb21d58d36c6306fd8810ddd51c4a971chunk-83ac129dc9b56f84c46760d153d68e93chunk-e7637ff18c5ded77a68cce0a87883fadchunk-843b5b2f944c7413d9ca876e2e2f151fchunk-1aa50206d02ed89418f65f97c6441d1cchunk-02baee20cc9463dbe08170a8e1043e32'}> -2024-10-29 15:33:57,717 - lightrag - INFO - get_node:query:MATCH (n:`THE SETTING SUN`) RETURN n:result: -2024-10-29 15:33:57,806 - lightrag - INFO - get_node:query:MATCH (n:`KEYS`) RETURN n:result: -2024-10-29 15:33:57,892 - lightrag - INFO - get_node:query:MATCH (n:`THE CLOTHES AND ITEMS`) RETURN n:result: -2024-10-29 15:33:57,981 - lightrag - INFO - get_node:query:MATCH (n:`AVARICE`) RETURN n:result: -2024-10-29 15:33:58,067 - lightrag - INFO - get_node:query:MATCH (n:`THE FIREPLACE`) RETURN n:result: -2024-10-29 15:33:58,156 - lightrag - INFO - get_node:query:MATCH (n:`WANT`) RETURN n:result: -2024-10-29 15:33:58,243 - lightrag - INFO - get_node:query:MATCH (n:`THE DAUGHTER`) RETURN n:result: -2024-10-29 15:33:58,329 - lightrag - INFO - get_node:query:MATCH (n:`CHRISTMAS-TIME`) RETURN n:result:"Christmas-time represents the festive season, a recurring theme that evokes memories and emotions in Scrooge’s reflections.""Christmas-time serves as a backdrop for the narrative, emphasizing themes of reflection, mortality, and social interactions."', 'source_id': 'chunk-f1a4fbcf1ed86864b9bfd5e8dba4c683chunk-c6c248858d1b13ab7ee9ca13c1aeed6bchunk-5dac41b3f9eeaf794f0147400b1718cd'}> -2024-10-29 15:33:58,411 - lightrag - INFO - get_node:query:MATCH (n:`THE BED`) RETURN n:result: -2024-10-29 15:33:58,503 - lightrag - INFO - get_node:query:MATCH (n:`SHADOW OF HIMSELF`) RETURN n:result: -2024-10-29 15:33:58,592 - lightrag - INFO - get_node:query:MATCH (n:`KIND WORD`) RETURN n:result: -2024-10-29 15:33:58,681 - lightrag - INFO - get_node:query:MATCH (n:`GAOL`) RETURN n:result: -2024-10-29 15:33:58,770 - lightrag - INFO - get_node:query:MATCH (n:`IGNORANCE`) RETURN n:result:"Ignorance is personified as a boy that symbolizes the dangers of ignoring social issues and the consequences of a lack of awareness."', 'source_id': 'chunk-02baee20cc9463dbe08170a8e1043e32chunk-e7637ff18c5ded77a68cce0a87883fad'}> -2024-10-29 15:33:58,860 - lightrag - INFO - get_node:query:MATCH (n:`CHILDREN`) RETURN n:result:"The Children represent the joyful, carefree aspects of Scrooge\'s past, embodying happiness and the innocence of youth that he has long forgotten."', 'source_id': 'chunk-bb21d58d36c6306fd8810ddd51c4a971chunk-e7637ff18c5ded77a68cce0a87883fad'}> -2024-10-29 15:33:58,948 - lightrag - INFO - get_node:query:MATCH (n:`THE ROOM BY DAYLIGHT`) RETURN n:result: -2024-10-29 15:33:59,037 - lightrag - INFO - get_node:query:MATCH (n:`THE BOTTLE`) RETURN n:result: -2024-10-29 15:33:59,125 - lightrag - INFO - get_node:query:MATCH (n:`THE FLANNEL BAG`) RETURN n:result: -2024-10-29 15:33:59,210 - lightrag - INFO - get_node:query:MATCH (n:`A CHRISTMAS CAROL`) RETURN n:result: -2024-10-29 15:33:59,293 - lightrag - INFO - get_node:query:MATCH (n:`THE YOUNG GIRL`) RETURN n:result: -2024-10-29 15:33:59,381 - lightrag - INFO - get_node:query:MATCH (n:`THE CITY`) RETURN n:result:"The City represents the bustling urban environment where Scrooge reflects on his past, filled with activity and shadowy figures.""The City, from which Scrooge is transported, represents his past life and is contrasted with the open country road that signifies his memories."', 'source_id': 'chunk-bb21d58d36c6306fd8810ddd51c4a971chunk-c6c248858d1b13ab7ee9ca13c1aeed6bchunk-74e2466de2f67fd710ef2f20c0a8d9e0'}> -2024-10-29 15:33:59,470 - lightrag - INFO - get_node:query:MATCH (n:`GHOST`) RETURN n:result:"The Ghost refers to the spirit guiding Scrooge, embodying the themes of memory and reflection on the joys of Christmas.""The Ghost represents a spiritual guide that takes Scrooge on a journey to learn important lessons about compassion and humanity.""The Ghost serves as a supernatural guide for Scrooge, prompting him to reflect on his life and choices."', 'source_id': 'chunk-503f0bfa5453467c7c61d160a3540ecachunk-c6c248858d1b13ab7ee9ca13c1aeed6bchunk-e7637ff18c5ded77a68cce0a87883fadchunk-43c9bee23adfa77aa9dedd22401bba7d'}> -2024-10-29 15:33:59,560 - lightrag - INFO - get_node:query:MATCH (n:`MERCILESS CREDITOR`) RETURN n:result: -2024-10-29 15:33:59,650 - lightrag - INFO - get_node:query:MATCH (n:`THE SPIRITS`) RETURN n:result:"The Spirits represent the past, present, and future in Scrooge\'s life, guiding him toward redemption and self-reflection."', 'source_id': 'chunk-90b95db5c53e4364a6bee36b7aa4d70fchunk-cb661c37436355ccec2769b1d0350c5f'}> -2024-10-29 15:33:59,736 - lightrag - INFO - get_node:query:MATCH (n:`THE MOTHER`) RETURN n:result:"The Mother is a character associated with the family dynamics during the Christmas scene, though her actions are not explicitly detailed.""The Mother is depicted as a comely matron, who enjoys the laughter and chaos with her children, showing warmth and family value."', 'source_id': 'chunk-da2472b4ef2a535b62908f14d0fb0ca9chunk-83ac129dc9b56f84c46760d153d68e93chunk-54bdd22db1f84a965b5f4c06c9216d8d'}> -2024-10-29 15:33:59,826 - lightrag - INFO - get_node:query:MATCH (n:`LIGHT`) RETURN n:result: -2024-10-29 15:33:59,915 - lightrag - INFO - get_node:query:MATCH (n:`TWO YOUNG CRATCHITS`) RETURN n:result: -2024-10-29 15:34:00,004 - lightrag - INFO - get_node:query:MATCH (n:`JOE`) RETURN n:result:"Joe is a marine-store dealer depicted as receiving stolen goods, illustrating the consequences of crime and the darker sides of society.""Joe is portrayed as a character engaged in a conversation about the deceased, displaying a mix of humor and practicality in dealing with the possessions of the dead."', 'source_id': 'chunk-89777b838d5447c7bd1ec11282c4ee89chunk-9e3921da66da5d761ab73cd849af6c43chunk-e1f29eeadc1d8ab46dc8a0bbd3c56b64'}> -2024-10-29 15:34:00,141 - lightrag - INFO - _find_node_degree:query: - MATCH (n:`EMOTION`) + :result:None +2024-10-30 06:49:28,041 - lightrag - INFO - _check_edge_existence:query:MATCH (a:`PROJECT GUTENBERG LITERARY ARCHIVE FOUNDATION`)-[r]-(b:`PUBLIC DOMAIN`) RETURN COUNT(r) > 0 AS edgeExists:result:True +2024-10-30 06:49:28,171 - lightrag - INFO - get_edge:query: + MATCH (start:`PROJECT GUTENBERG LITERARY ARCHIVE FOUNDATION`)-[r]->(end:`PUBLIC DOMAIN`) + RETURN properties(r) as edge_properties + LIMIT 1 + :result:{'keywords': '"accessibility, distribution"', 'weight': 9.0, 'description': '"The Foundation\'s mission is focused on distributing works that are in the Public Domain, enhancing accessibility for the public."', 'source_id': 'chunk-85f77f5e3a9aba01133555a2d20e2fd8'} +2024-10-30 06:49:28,291 - lightrag - INFO - _check_node_exists:query:MATCH (n:`PROJECT GUTENBERG LITERARY ARCHIVE FOUNDATION`) RETURN count(n) > 0 AS node_exists:result:True +2024-10-30 06:49:28,456 - lightrag - INFO - _check_node_exists:query:MATCH (n:`PUBLIC DOMAIN`) RETURN count(n) > 0 AS node_exists:result:True +2024-10-30 06:49:28,634 - lightrag - INFO - _do_upsert_edge:query: + MATCH (source:`PROJECT GUTENBERG LITERARY ARCHIVE FOUNDATION`) + WITH source + MATCH (target:`PUBLIC DOMAIN`) + MERGE (source)-[r:DIRECTED]->(target) + SET r += $properties + RETURN r + :result:None +2024-10-30 06:49:28,677 - lightrag - INFO - Inserting 350 vectors to entities +2024-10-30 06:49:31,357 - lightrag - INFO - Inserting 282 vectors to relationships +2024-10-30 06:49:33,384 - lightrag - INFO - Creating a new event loop in a sub-thread. +2024-10-30 06:49:34,118 - lightrag - INFO - Truncate 39 to 3 chunks +2024-10-30 06:49:39,671 - lightrag - INFO - Creating a new event loop in a sub-thread. +2024-10-30 06:49:41,043 - lightrag - INFO - get_node:query:MATCH (n:`TIME`) RETURN n:result: +2024-10-30 06:49:41,129 - lightrag - INFO - get_node:query:MATCH (n:`THE DEATH`) RETURN n:result: +2024-10-30 06:49:41,216 - lightrag - INFO - get_node:query:MATCH (n:`THE EVENT OF DEATH`) RETURN n:result: +2024-10-30 06:49:41,302 - lightrag - INFO - get_node:query:MATCH (n:`THE TOWN`) RETURN n:result: +2024-10-30 06:49:41,390 - lightrag - INFO - get_node:query:MATCH (n:`CHRISTMAS`) RETURN n:result:chunk-c6c248858d1b13ab7ee9ca13c1aeed6bchunk-99b0ec7f7e006561352b5d65e849611dchunk-02baee20cc9463dbe08170a8e1043e32chunk-503f0bfa5453467c7c61d160a3540ecachunk-91572b3cd42786ba4cb2f180ca25cbf4chunk-8f738cb25d60a7dab782162d9d0a25edchunk-94bea83e7153fc2064aa382b494936a1chunk-1d4b58de5429cd1261370c231c8673e8chunk-74e2466de2f67fd710ef2f20c0a8d9e0chunk-89777b838d5447c7bd1ec11282c4ee89chunk-90d5764e301321c087f5a8f78b73a145chunk-91614df5cb74cbe5e109a338a82041e9chunk-54bdd22db1f84a965b5f4c06c9216d8dchunk-773d0df1dd25c356f7b771d780583e09chunk-5dac41b3f9eeaf794f0147400b1718cdchunk-43c9bee23adfa77aa9dedd22401bba7dchunk-da2472b4ef2a535b62908f14d0fb0ca9chunk-8590d9263cd2cd4fa583c432fc54e6c3'}> +2024-10-30 06:49:41,478 - lightrag - INFO - get_node:query:MATCH (n:`HOPE`) RETURN n:result:"Hope emerges as a central theme in the characters\' lives, particularly through Caroline\'s reaction to news about the husband and the family\'s future.""Hope emerges as a central theme in the characters\' lives, particularly through Caroline\'s reaction to news about the husband and the family\'s future.""Hope emerges as a central theme in the characters\' lives, particularly through Caroline\'s reaction to news about the husband and the family\'s future.""Hope emerges as a central theme in the characters\' lives, particularly through Caroline\'s reaction to news about the husband and the family\'s future.""Hope represents the aspirations and dreams that characters have, particularly in the context of the matron\'s optimistic nature.""Hope represents the aspirations and dreams that characters have, particularly in the context of the matron\'s optimistic nature.""Hope represents the aspirations and dreams that characters have, particularly in the context of the matron\'s optimistic nature.""Hope represents the aspirations and dreams that characters have, particularly in the context of the matron\'s optimistic nature.""Hope represents the aspirations and dreams that characters have, particularly in the context of the matron\'s optimistic nature."', 'source_id': 'chunk-54bdd22db1f84a965b5f4c06c9216d8dchunk-83ac129dc9b56f84c46760d153d68e93'}> +2024-10-30 06:49:41,567 - lightrag - INFO - get_node:query:MATCH (n:`CLOCK'S STRIKE`) RETURN n:result: +2024-10-30 06:49:41,656 - lightrag - INFO - get_node:query:MATCH (n:`THE COLD AIR`) RETURN n:result: +2024-10-30 06:49:41,741 - lightrag - INFO - get_node:query:MATCH (n:`THE STOLEN GOODS`) RETURN n:result: +2024-10-30 06:49:41,831 - lightrag - INFO - get_node:query:MATCH (n:`THE SPECTRE`) RETURN n:result: +2024-10-30 06:49:41,918 - lightrag - INFO - get_node:query:MATCH (n:`DEATH`) RETURN n:result:"Death is described as a powerful force in the narrative, represented through the imagery of a cold, rigid presence and the contemplation of mortality.""Death refers to the passing of a character that triggers a range of emotions and reflections among the living, influencing their lives and relationships.""Death is depicted as a cold, inevitable force, prompting reflections on the value of life and the consequences of avarice.""Death is depicted as a cold, inevitable force, prompting reflections on the value of life and the consequences of avarice.""Death is depicted as a cold, inevitable force, prompting reflections on the value of life and the consequences of avarice.""Death is depicted as a cold, inevitable force, prompting reflections on the value of life and the consequences of avarice.""Death is depicted as a cold, inevitable force, prompting reflections on the value of life and the consequences of avarice."', 'source_id': 'chunk-e1f29eeadc1d8ab46dc8a0bbd3c56b64chunk-83ac129dc9b56f84c46760d153d68e93chunk-02baee20cc9463dbe08170a8e1043e32'}> +2024-10-30 06:49:42,007 - lightrag - INFO - get_node:query:MATCH (n:`THE BED`) RETURN n:result:"The Bed represents a significant scene where the deceased man\'s body is laid, evoking deep emotions and realizations about life and morality.""The Bed represents a significant scene where the deceased man\'s body is laid, evoking deep emotions and realizations about life and morality.""The Bed represents a significant scene where the deceased man\'s body is laid, evoking deep emotions and realizations about life and morality.""The Bed represents a significant scene where the deceased man\'s body is laid, evoking deep emotions and realizations about life and morality.""The Bed represents a significant scene where the deceased man\'s body is laid, evoking deep emotions and realizations about life and morality."', 'source_id': 'chunk-e1f29eeadc1d8ab46dc8a0bbd3c56b64'}> +2024-10-30 06:49:42,096 - lightrag - INFO - get_node:query:MATCH (n:`JUDGMENT`) RETURN n:result: +2024-10-30 06:49:42,181 - lightrag - INFO - get_node:query:MATCH (n:`CLOCK`) RETURN n:result: +2024-10-30 06:49:42,269 - lightrag - INFO - get_node:query:MATCH (n:`SCROOGE`) RETURN n:result:chunk-b0f459f5af1c3a5e0b92cbe4ee48b77bchunk-e7637ff18c5ded77a68cce0a87883fadchunk-359187e7571bda4b0b08b2e0b6581e52chunk-e1f29eeadc1d8ab46dc8a0bbd3c56b64chunk-c6c248858d1b13ab7ee9ca13c1aeed6bchunk-cb661c37436355ccec2769b1d0350c5fchunk-f1a4fbcf1ed86864b9bfd5e8dba4c683chunk-99b0ec7f7e006561352b5d65e849611dchunk-843b5b2f944c7413d9ca876e2e2f151fchunk-90b95db5c53e4364a6bee36b7aa4d70fchunk-19d72c57ae3408758b18d2568e86dc6bchunk-02baee20cc9463dbe08170a8e1043e32chunk-503f0bfa5453467c7c61d160a3540ecachunk-91572b3cd42786ba4cb2f180ca25cbf4chunk-83ac129dc9b56f84c46760d153d68e93chunk-8f738cb25d60a7dab782162d9d0a25edchunk-94bea83e7153fc2064aa382b494936a1chunk-9c43dac2fcd5b578242d907ea6f8fc7bchunk-74e2466de2f67fd710ef2f20c0a8d9e0chunk-89777b838d5447c7bd1ec11282c4ee89chunk-d9aac3484185ac66045df92214d245d5chunk-90d5764e301321c087f5a8f78b73a145chunk-91614df5cb74cbe5e109a338a82041e9chunk-54bdd22db1f84a965b5f4c06c9216d8dchunk-773d0df1dd25c356f7b771d780583e09chunk-5dac41b3f9eeaf794f0147400b1718cdchunk-43c9bee23adfa77aa9dedd22401bba7dchunk-da2472b4ef2a535b62908f14d0fb0ca9chunk-1aa50206d02ed89418f65f97c6441d1cchunk-8590d9263cd2cd4fa583c432fc54e6c3chunk-b2f98bc7abb0c67d4c86055c7fd72218chunk-bb21d58d36c6306fd8810ddd51c4a971'}> +2024-10-30 06:49:42,353 - lightrag - INFO - get_node:query:MATCH (n:`THE MEETING`) RETURN n:result: +2024-10-30 06:49:42,442 - lightrag - INFO - get_node:query:MATCH (n:`THE GHOST`) RETURN n:result:chunk-43c9bee23adfa77aa9dedd22401bba7dchunk-e7637ff18c5ded77a68cce0a87883fadchunk-359187e7571bda4b0b08b2e0b6581e52chunk-da2472b4ef2a535b62908f14d0fb0ca9chunk-c6c248858d1b13ab7ee9ca13c1aeed6bchunk-02baee20cc9463dbe08170a8e1043e32chunk-1aa50206d02ed89418f65f97c6441d1cchunk-cb661c37436355ccec2769b1d0350c5fchunk-54bdd22db1f84a965b5f4c06c9216d8dchunk-8590d9263cd2cd4fa583c432fc54e6c3chunk-83ac129dc9b56f84c46760d153d68e93chunk-9c43dac2fcd5b578242d907ea6f8fc7b'}> +2024-10-30 06:49:42,528 - lightrag - INFO - get_node:query:MATCH (n:`MARLEY`) RETURN n:result:"Marley is Scrooge\'s deceased business partner whose presence looms over the story, symbolizing the consequences of a life similar to Scrooge\'s.""Marley is Scrooge\'s deceased business partner, whose death is a significant event that sets the tone for the story.""Marley is Scrooge\'s deceased business partner, whose death is mentioned as impactful, having passed seven years prior to the events in the text.""Marley is depicted as a ghost, having a pigtail, waistcoat, tights, and boots, and is central to Scrooge\'s haunting experience."Marley is Scrooge\'s deceased business partner, whose presence looms over the narrative of the story, symbolizing the dire consequences of a life lived without compassion and care for others. His death serves as a significant event that sets the tone for the plot and reflects the overarching themes of regret and the supernatural.\n\nMarley passed away seven years prior to the events depicted, making his spectral appearance even more impactful. Despite being a character who is only mentioned throughout much of the story, his influence on Scrooge is profound, as reflections and memories of Marley shape Scrooge\'s perspective on life and relationships. This ghostly figure is depicted distinctly with a pigtail, waistcoat, tights, and boots, making him central to Scrooge\'s haunting experience.\n\nOverall, Marley represents the weight of past actions and the importance of empathy, acting as a harbinger of transformation for Scrooge. His ghostly manifestation evokes both fear and introspection, ultimately contributing to the moral lessons embedded in the tale."Marley is Scrooge\'s deceased business partner, whose death is a significant event that sets the tone for the story.""Marley is Scrooge\'s deceased business partner, whose death is mentioned as impactful, having passed seven years prior to the events in the text.""Marley is depicted as a ghost, having a pigtail, waistcoat, tights, and boots, and is central to Scrooge\'s haunting experience."', 'source_id': 'chunk-5dac41b3f9eeaf794f0147400b1718cdchunk-89777b838d5447c7bd1ec11282c4ee89chunk-d9aac3484185ac66045df92214d245d5chunk-9c43dac2fcd5b578242d907ea6f8fc7bchunk-843b5b2f944c7413d9ca876e2e2f151f'}> +2024-10-30 06:49:42,614 - lightrag - INFO - get_node:query:MATCH (n:`THE BUNDLE`) RETURN n:result:"The Bundle contains the belongings of the deceased man, which serve as a focal point for discussion among the characters regarding value and morality.""The Bundle contains the belongings of the deceased man, which serve as a focal point for discussion among the characters regarding value and morality.""The Bundle contains the belongings of the deceased man, which serve as a focal point for discussion among the characters regarding value and morality.""The Bundle contains the belongings of the deceased man, which serve as a focal point for discussion among the characters regarding value and morality.""The Bundle refers to the collection of stolen items brought by the characters to Old Joe\'s shop for appraisal, symbolizing their actions post-death.""The Bundle refers to the collection of stolen items that the characters present to Old Joe for appraisal.""The Bundle refers to the collection of stolen items brought by the characters to Old Joe\'s shop for appraisal, symbolizing their actions post-death.""The Bundle refers to the collection of stolen items brought by the characters to Old Joe\'s shop for appraisal, symbolizing their actions post-death.""The Bundle refers to the collection of stolen items brought by the characters to Old Joe\'s shop for appraisal, symbolizing their actions post-death.""The Bundle refers to the collection of stolen items brought by the characters to Old Joe\'s shop for appraisal, symbolizing their actions post-death."', 'source_id': 'chunk-e1f29eeadc1d8ab46dc8a0bbd3c56b64chunk-60fc063c79fc0d4acc91a57e79de04dc'}> +2024-10-30 06:49:42,701 - lightrag - INFO - get_node:query:MATCH (n:`THE RAGS`) RETURN n:result: +2024-10-30 06:49:42,789 - lightrag - INFO - get_node:query:MATCH (n:`SNOW`) RETURN n:result: +2024-10-30 06:49:42,874 - lightrag - INFO - get_node:query:MATCH (n:`THE FUNERAL`) RETURN n:result:"The Funeral is a context for conversation among characters, reflecting on mortality and social connections surrounding death.""The Funeral is a context for conversation among characters, reflecting on mortality and social connections surrounding death.""The Funeral is a context for conversation among characters, reflecting on mortality and social connections surrounding death.""The Funeral is a context for conversation among characters, reflecting on mortality and social connections surrounding death.""The Funeral of Marley is a significant event that highlights Scrooge\'s relationship with Marley and sets the tone for their partnership and Scrooge\'s eventual path.""The Funeral serves as a significant event reflecting on Marley\'s death, noted for its business-like atmosphere as perceived by Scrooge.""The Funeral of Marley is a significant event that highlights Scrooge\'s relationship with Marley and sets the tone for their partnership and Scrooge\'s eventual path.""The Funeral of Marley is a significant event that highlights Scrooge\'s relationship with Marley and sets the tone for their partnership and Scrooge\'s eventual path.""The Funeral of Marley is a significant event that highlights Scrooge\'s relationship with Marley and sets the tone for their partnership and Scrooge\'s eventual path.""The Funeral of Marley is a significant event that highlights Scrooge\'s relationship with Marley and sets the tone for their partnership and Scrooge\'s eventual path."', 'source_id': 'chunk-f1a4fbcf1ed86864b9bfd5e8dba4c683chunk-89777b838d5447c7bd1ec11282c4ee89'}> +2024-10-30 06:49:42,959 - lightrag - INFO - get_node:query:MATCH (n:`MARTHA`) RETURN n:result:"Martha is the daughter in the Cratchit family, who makes a dramatic entrance to surprise her family, highlighting the family\'s closeness.""Martha is the daughter in the Cratchit family, who makes a dramatic entrance to surprise her family, highlighting the family\'s closeness.""Martha is the daughter in the Cratchit family, who makes a dramatic entrance to surprise her family, highlighting the family\'s closeness.""Martha is the daughter in the Cratchit family, who makes a dramatic entrance to surprise her family, highlighting the family\'s closeness.""Martha is the daughter in the Cratchit family, who makes a dramatic entrance to surprise her family, highlighting the family\'s closeness."', 'source_id': 'chunk-19d72c57ae3408758b18d2568e86dc6bchunk-7e2e7ebcc19a53b399dc03aded4743e7'}> +2024-10-30 06:49:43,048 - lightrag - INFO - get_node:query:MATCH (n:`THE MOTHER`) RETURN n:result:"The Mother is a character associated with the family dynamics during the Christmas scene, though her actions are not explicitly detailed.""The Mother is depicted as a comely matron, who enjoys the laughter and chaos with her children, showing warmth and family value.""The Mother is a character who exhibits anxiety and hope as she awaits her husband\'s return, embodying the emotional depth of family relations during hardship.""The Mother is a character who shares a tender moment with her husband and daughter, representing familial love and connection.""The Mother is a character who exhibits anxiety and hope as she awaits her husband\'s return, embodying the emotional depth of family relations during hardship.""The Mother is a character who shares a tender moment with her husband and daughter, representing familial love and connection.""The Mother is a character who exhibits anxiety and hope as she awaits her husband\'s return, embodying the emotional depth of family relations during hardship.""The Mother is a character who shares a tender moment with her husband and daughter, representing familial love and connection.""The Mother is a character who exhibits anxiety and hope as she awaits her husband\'s return, embodying the emotional depth of family relations during hardship.""The Mother is a character who shares a tender moment with her husband and daughter, representing familial love and connection.""The Mother is a character who exhibits anxiety and hope as she awaits her husband\'s return, embodying the emotional depth of family relations during hardship.""The Mother is a character who shares a tender moment with her husband and daughter, representing familial love and connection."', 'source_id': 'chunk-54bdd22db1f84a965b5f4c06c9216d8dchunk-da2472b4ef2a535b62908f14d0fb0ca9chunk-83ac129dc9b56f84c46760d153d68e93'}> +2024-10-30 06:49:43,139 - lightrag - INFO - get_node:query:MATCH (n:`DING DONG`) RETURN n:result: +2024-10-30 06:49:43,226 - lightrag - INFO - get_node:query:MATCH (n:`THE HOUSE`) RETURN n:result:"The House is the setting for Scrooge\'s encounters, characterized by its darkness, the creaking sounds, and the presence of the ghost.""The House is the setting for Scrooge\'s encounters, characterized by its darkness, the creaking sounds, and the presence of the ghost.""The House is the setting for Scrooge\'s encounters, characterized by its darkness, the creaking sounds, and the presence of the ghost.""The House is the setting for Scrooge\'s encounters, characterized by its darkness, the creaking sounds, and the presence of the ghost.""The House is the setting for the Christmas celebration and interactions among the characters, embodying warmth and family togetherness.""The House is the setting where Scrooge experiences the haunting, with a description of its features contributing to the eerie atmosphere."', 'source_id': 'chunk-da2472b4ef2a535b62908f14d0fb0ca9chunk-9c43dac2fcd5b578242d907ea6f8fc7b'}> +2024-10-30 06:49:43,312 - lightrag - INFO - get_node:query:MATCH (n:`THE DEBT`) RETURN n:result: +2024-10-30 06:49:43,400 - lightrag - INFO - get_node:query:MATCH (n:`COLD`) RETURN n:result: +2024-10-30 06:49:43,489 - lightrag - INFO - get_node:query:MATCH (n:`THE FOG AND FROST`) RETURN n:result: +2024-10-30 06:49:43,574 - lightrag - INFO - get_node:query:MATCH (n:`LONDON`) RETURN n:result:"London is the city where the narrative takes place, representing a central location in the story.""London is the city where the narrative takes place, representing a central location in the story.""London is the city where the narrative takes place, representing a central location in the story.""London is the city where the narrative takes place, representing a central location in the story.""London serves as the general setting for the story, although its specific mention relates to an animal in the context of a game.""London serves as the geographical setting for the story, encapsulating the harsh winter atmosphere and the life of its inhabitants during the festive season.""London serves as the setting where the events take place, adding a cultural backdrop to the Christmas gathering.""London serves as the setting for the story, highlighting the bustling yet isolating environment in which Scrooge lives.""London serves as the general setting for the story, although its specific mention relates to an animal in the context of a game.""London serves as the setting for the story, highlighting the bustling yet isolating environment in which Scrooge lives.""London serves as the general setting for the story, although its specific mention relates to an animal in the context of a game.""London serves as the setting for the story, highlighting the bustling yet isolating environment in which Scrooge lives.""London serves as the general setting for the story, although its specific mention relates to an animal in the context of a game.""London serves as the setting for the story, highlighting the bustling yet isolating environment in which Scrooge lives.""London serves as the general setting for the story, although its specific mention relates to an animal in the context of a game.""London serves as the setting for the story, highlighting the bustling yet isolating environment in which Scrooge lives."', 'source_id': 'chunk-d9aac3484185ac66045df92214d245d5chunk-43c9bee23adfa77aa9dedd22401bba7dchunk-e7637ff18c5ded77a68cce0a87883fad'}> +2024-10-30 06:49:43,659 - lightrag - INFO - get_node:query:MATCH (n:`CITY`) RETURN n:result:"The City represents the urban setting where Scrooge witnesses the indifference of its inhabitants regarding his death.""The City represents the urban setting where Scrooge\'s transformation takes place, symbolizing the broader society impacted by his changes.""The City serves as a backdrop where various scenes unfold, representing the hustle of life and economic concerns.""The City symbolizes the urban setting where Scrooge\'s transformation takes place, primarily depicting the contrast between Scrooge\'s isolation and the outer world filled with festivities.""The City serves as a backdrop where various scenes unfold, representing the hustle of life and economic concerns.""The City symbolizes the urban setting where Scrooge\'s transformation takes place, primarily depicting the contrast between Scrooge\'s isolation and the outer world filled with festivities.""The City serves as a backdrop where various scenes unfold, representing the hustle of life and economic concerns.""The City symbolizes the urban setting where Scrooge\'s transformation takes place, primarily depicting the contrast between Scrooge\'s isolation and the outer world filled with festivities.""The City serves as a backdrop where various scenes unfold, representing the hustle of life and economic concerns.""The City symbolizes the urban setting where Scrooge\'s transformation takes place, primarily depicting the contrast between Scrooge\'s isolation and the outer world filled with festivities.""The City serves as a backdrop where various scenes unfold, representing the hustle of life and economic concerns.""The City symbolizes the urban setting where Scrooge\'s transformation takes place, primarily depicting the contrast between Scrooge\'s isolation and the outer world filled with festivities."', 'source_id': 'chunk-02baee20cc9463dbe08170a8e1043e32chunk-843b5b2f944c7413d9ca876e2e2f151fchunk-94bea83e7153fc2064aa382b494936a1'}> +2024-10-30 06:49:43,746 - lightrag - INFO - get_node:query:MATCH (n:`THE DYING FLAME`) RETURN n:result:"The Dying Flame represents the fear and uncertainty in Scrooge as it reacts to the presence of Marley’s Ghost, adding to the eerie atmosphere.""The Dying Flame represents the fear and uncertainty in Scrooge as it reacts to the presence of Marley’s Ghost, adding to the eerie atmosphere.""The Dying Flame represents the fear and uncertainty in Scrooge as it reacts to the presence of Marley’s Ghost, adding to the eerie atmosphere.""The Dying Flame represents the fear and uncertainty in Scrooge as it reacts to the presence of Marley’s Ghost, adding to the eerie atmosphere.""The Dying Flame signifies the waning spirit of Scrooge, momentarily invigorated by the arrival of the ghost as a metaphor for his fading humanity.""The Dying Flame signifies the waning spirit of Scrooge, momentarily invigorated by the arrival of the ghost as a metaphor for his fading humanity.""The Dying Flame signifies the waning spirit of Scrooge, momentarily invigorated by the arrival of the ghost as a metaphor for his fading humanity.""The Dying Flame signifies the waning spirit of Scrooge, momentarily invigorated by the arrival of the ghost as a metaphor for his fading humanity.""The Dying Flame signifies the waning spirit of Scrooge, momentarily invigorated by the arrival of the ghost as a metaphor for his fading humanity."', 'source_id': 'chunk-9c43dac2fcd5b578242d907ea6f8fc7bchunk-1aa50206d02ed89418f65f97c6441d1c'}> +2024-10-30 06:49:43,834 - lightrag - INFO - get_node:query:MATCH (n:`THE PHANTOM`) RETURN n:result:"The Phantom represents a ghostly presence guiding Scrooge through reflections on his life and future decisions.""The Phantom represents a ghostly presence guiding Scrooge through reflections on his life and future decisions.""The Phantom represents a ghostly presence guiding Scrooge through reflections on his life and future decisions.""The Phantom represents a ghostly presence guiding Scrooge through reflections on his life and future decisions.""The Phantom represents the supernatural element in Scrooge\'s journey of self-reflection and moral awakening."', 'source_id': 'chunk-f1a4fbcf1ed86864b9bfd5e8dba4c683'}> +2024-10-30 06:49:43,923 - lightrag - INFO - get_node:query:MATCH (n:`JOE`) RETURN n:result:"Joe is a marine-store dealer depicted as receiving stolen goods, illustrating the consequences of crime and the darker sides of society.""Joe is portrayed as a character engaged in a conversation about the deceased, displaying a mix of humor and practicality in dealing with the possessions of the dead.""Joe is a character who interacts with others, demonstrating a sense of curiosity and disbelief regarding certain situations and comments.""Joe is a marine-store dealer and receiver of stolen goods, indicative of the darker, more unscrupulous elements of society.""Joe is an old character who engages in conversation about the deceased man\'s belongings, revealing his pragmatic and somewhat cynical perspective on life and death.""Joe is a character who interacts with others, demonstrating a sense of curiosity and disbelief regarding certain situations and comments.""Joe is a marine-store dealer and receiver of stolen goods, indicative of the darker, more unscrupulous elements of society.""Joe is an old character who engages in conversation about the deceased man\'s belongings, revealing his pragmatic and somewhat cynical perspective on life and death.""Joe is a character who interacts with others, demonstrating a sense of curiosity and disbelief regarding certain situations and comments.""Joe is a marine-store dealer and receiver of stolen goods, indicative of the darker, more unscrupulous elements of society.""Joe is an old character who engages in conversation about the deceased man\'s belongings, revealing his pragmatic and somewhat cynical perspective on life and death.""Joe is a character who interacts with others, demonstrating a sense of curiosity and disbelief regarding certain situations and comments.""Joe is a marine-store dealer and receiver of stolen goods, indicative of the darker, more unscrupulous elements of society.""Joe is an old character who engages in conversation about the deceased man\'s belongings, revealing his pragmatic and somewhat cynical perspective on life and death.""Joe is a character who interacts with others, demonstrating a sense of curiosity and disbelief regarding certain situations and comments.""Joe is a marine-store dealer and receiver of stolen goods, indicative of the darker, more unscrupulous elements of society.""Joe is an old character who engages in conversation about the deceased man\'s belongings, revealing his pragmatic and somewhat cynical perspective on life and death."', 'source_id': 'chunk-e1f29eeadc1d8ab46dc8a0bbd3c56b64chunk-9e3921da66da5d761ab73cd849af6c43chunk-89777b838d5447c7bd1ec11282c4ee89'}> +2024-10-30 06:49:44,012 - lightrag - INFO - get_node:query:MATCH (n:`WINDING RIVER`) RETURN n:result: +2024-10-30 06:49:44,100 - lightrag - INFO - get_node:query:MATCH (n:`SPECTRE`) RETURN n:result: +2024-10-30 06:49:44,191 - lightrag - INFO - get_node:query:MATCH (n:`THE VISION`) RETURN n:result: +2024-10-30 06:49:44,280 - lightrag - INFO - get_node:query:MATCH (n:`THE FAMILY`) RETURN n:result: +2024-10-30 06:49:44,367 - lightrag - INFO - get_node:query:MATCH (n:`THE ACCUSATION`) RETURN n:result: +2024-10-30 06:49:44,458 - lightrag - INFO - get_node:query:MATCH (n:`CRATCHIT FAMILY`) RETURN n:result:"The Cratchit Family consists of Bob, Mrs. Cratchit, and their children, embodying themes of family unity and contentment despite hardships.""The Cratchit Family consists of Bob, Mrs. Cratchit, and their children, embodying themes of family unity and contentment despite hardships.""The Cratchit Family consists of Bob, Mrs. Cratchit, and their children, embodying themes of family unity and contentment despite hardships.""The Cratchit Family consists of Bob, Mrs. Cratchit, and their children, embodying themes of family unity and contentment despite hardships.""The Cratchit Family is a close-knit family characterized by love and togetherness, celebrating Christmas with simple but joyful traditions.""The Cratchit Family is portrayed as a close-knit group who, despite their hardships, find joy and gratitude during the Christmas gathering.""The Cratchit Family is portrayed as a loving unit celebrating Christmas together, with various members actively participating in the festivities.""The Cratchit family represents a unit bound by love and resilience in the face of adversity, dealing with emotional and financial struggles.""The Cratchit Family is depicted as a warm and loving household celebrating Christmas together, with various members actively participating in the festivities.""The Cratchit Family is depicted as a warm and loving household celebrating Christmas together, with various members actively participating in the festivities.""The Cratchit Family is depicted as a warm and loving household celebrating Christmas together, with various members actively participating in the festivities.""The Cratchit Family is depicted as a warm and loving household celebrating Christmas together, with various members actively participating in the festivities.""The Cratchit Family is depicted as a warm and loving household celebrating Christmas together, with various members actively participating in the festivities."', 'source_id': 'chunk-503f0bfa5453467c7c61d160a3540ecachunk-19d72c57ae3408758b18d2568e86dc6bchunk-7e2e7ebcc19a53b399dc03aded4743e7chunk-83ac129dc9b56f84c46760d153d68e93'}> +2024-10-30 06:49:44,548 - lightrag - INFO - get_node:query:MATCH (n:`THE CHAIN`) RETURN n:result:"The Chain symbolizes the burdens of the past that haunt the spirits, showcasing the consequences of one\'s actions in life.""The Chain represents the burdens of greed and the consequences of one\'s actions, worn by Marley\'s Ghost as a physical manifestation of his regrets.""The Chain represents the burdens of regret and guilt that haunt Marley and serve as a warning to Scrooge about the consequences of a life poorly lived.""The Chain represents the burdens of greed and the consequences of one\'s actions, worn by Marley\'s Ghost as a physical manifestation of his regrets.""The Chain represents the burdens of regret and guilt that haunt Marley and serve as a warning to Scrooge about the consequences of a life poorly lived.""The Chain represents the burdens of greed and the consequences of one\'s actions, worn by Marley\'s Ghost as a physical manifestation of his regrets.""The Chain represents the burdens of regret and guilt that haunt Marley and serve as a warning to Scrooge about the consequences of a life poorly lived.""The Chain represents the burdens of greed and the consequences of one\'s actions, worn by Marley\'s Ghost as a physical manifestation of his regrets.""The Chain represents the burdens of regret and guilt that haunt Marley and serve as a warning to Scrooge about the consequences of a life poorly lived.""The Chain represents the burdens of greed and the consequences of one\'s actions, worn by Marley\'s Ghost as a physical manifestation of his regrets.""The Chain represents the burdens of regret and guilt that haunt Marley and serve as a warning to Scrooge about the consequences of a life poorly lived."', 'source_id': 'chunk-359187e7571bda4b0b08b2e0b6581e52chunk-cb661c37436355ccec2769b1d0350c5fchunk-1aa50206d02ed89418f65f97c6441d1c'}> +2024-10-30 06:49:44,633 - lightrag - INFO - get_node:query:MATCH (n:`THE CLOCK`) RETURN n:result:"The Clock is mentioned as malfunctioning, which symbolizes the confusion and distortion of time that Scrooge experiences during his nighttime visitations.""The Clock serves as a symbol of time passing, reflecting Scrooge\'s disorientation regarding time as he transitions between reality and the supernatural.""The Clock signifies the passage of time during the Domestic Ball and plays a role in marking the end of the celebration.""The Clock serves as a symbol of time passing, reflecting Scrooge\'s disorientation regarding time as he transitions between reality and the supernatural.""The Clock signifies the passage of time during the Domestic Ball and plays a role in marking the end of the celebration.""The Clock serves as a symbol of time passing, reflecting Scrooge\'s disorientation regarding time as he transitions between reality and the supernatural.""The Clock signifies the passage of time during the Domestic Ball and plays a role in marking the end of the celebration.""The Clock serves as a symbol of time passing, reflecting Scrooge\'s disorientation regarding time as he transitions between reality and the supernatural.""The Clock signifies the passage of time during the Domestic Ball and plays a role in marking the end of the celebration.""The Clock serves as a symbol of time passing, reflecting Scrooge\'s disorientation regarding time as he transitions between reality and the supernatural.""The Clock signifies the passage of time during the Domestic Ball and plays a role in marking the end of the celebration."', 'source_id': 'chunk-c7b10789a9cb0af6c553730b29bd9034chunk-b2f98bc7abb0c67d4c86055c7fd72218chunk-cb661c37436355ccec2769b1d0350c5f'}> +2024-10-30 06:49:44,722 - lightrag - INFO - get_node:query:MATCH (n:`SPIRIT`) RETURN n:result:"The Spirit represents a ghostly figure guiding Scrooge through reflections related to a death, illustrating lessons about life and mortality.""The Spirit represents a supernatural being guiding Scrooge through lessons about the consequences of his actions and the future.""The Spirit represents a supernatural entity guiding Scrooge and teaching him lessons about compassion and humanity."The "Spirit" represents a multifaceted supernatural entity that plays a crucial role in guiding Ebenezer Scrooge through profound reflections on his life, death, and human emotions. Central to the narrative is the Spirit\'s embodiment of the essence of Marley, which interacts with Scrooge to highlight themes related to the afterlife and unresolved issues. The Spirit manifests as various figures, most notably the Ghost of Christmas Present, who personifies the themes of generosity, merriment, and the true spirit of the Christmas season.\n\nThroughout Scrooge\'s journey, the Spirit serves as a guide, leading him through memories of his past, reflecting his former self and the influence of time on his character. The entity illustrates important lessons about compassion, social responsibility, and the consequences of his actions, urging Scrooge to confront societal issues and fostering self-awareness.\n\nThe Spirit also emphasizes the somber aspects of life, illustrating lessons about mortality and the inevitability of death, prompting Scrooge to reflect on the implications of his life choices. Overall, the Spirit encapsulates the intersection of compassion, humanity, and the moral lessons inherent in the experience of life, serving as a catalyst for Scrooge\'s transformation and awakening.', 'source_id': 'chunk-e7637ff18c5ded77a68cce0a87883fadchunk-02baee20cc9463dbe08170a8e1043e32chunk-1aa50206d02ed89418f65f97c6441d1cchunk-83ac129dc9b56f84c46760d153d68e93chunk-843b5b2f944c7413d9ca876e2e2f151fchunk-bb21d58d36c6306fd8810ddd51c4a971'}> +2024-10-30 06:49:44,807 - lightrag - INFO - get_node:query:MATCH (n:`DINNER`) RETURN n:result: +2024-10-30 06:49:44,896 - lightrag - INFO - get_node:query:MATCH (n:`THE SHOP`) RETURN n:result:"The Shop is a setting where characters gather to appraise items they have taken from the deceased, reflecting their attitudes towards death and morality.""The Shop is a setting where characters gather to appraise items they have taken from the deceased, reflecting their attitudes towards death and morality.""The Shop is a setting where characters gather to appraise items they have taken from the deceased, reflecting their attitudes towards death and morality.""The Shop is a setting where characters gather to appraise items they have taken from the deceased, reflecting their attitudes towards death and morality.""The Shop is a setting where characters gather to appraise items they have taken from the deceased, reflecting their attitudes towards death and morality."', 'source_id': 'chunk-60fc063c79fc0d4acc91a57e79de04dc'}> +2024-10-30 06:49:44,984 - lightrag - INFO - get_node:query:MATCH (n:`THE COUNTESS`) RETURN n:result:"The Countess is mentioned by Martha, indicating an encounter that highlights the social stratification and aspirations of the Cratchit family.""The Countess is mentioned by Martha, indicating an encounter that highlights the social stratification and aspirations of the Cratchit family.""The Countess is mentioned by Martha, indicating an encounter that highlights the social stratification and aspirations of the Cratchit family.""The Countess is mentioned by Martha, indicating an encounter that highlights the social stratification and aspirations of the Cratchit family.""The Countess is referenced by Martha, showcasing her interaction with figures of higher social status, contrasting with the Cratchit family\'s situation."', 'source_id': 'chunk-19d72c57ae3408758b18d2568e86dc6b'}> +2024-10-30 06:49:45,070 - lightrag - INFO - get_node:query:MATCH (n:`MISCELLANEOUS TATTERS`) RETURN n:result: +2024-10-30 06:49:45,160 - lightrag - INFO - get_node:query:MATCH (n:`THE WAVE`) RETURN n:result: +2024-10-30 06:49:45,246 - lightrag - INFO - get_node:query:MATCH (n:`HAPPINESS`) RETURN n:result: +2024-10-30 06:49:45,334 - lightrag - INFO - get_node:query:MATCH (n:`THE GHOST OF MARLEY`) RETURN n:result:"The Ghost of Marley refers to the apparition that appears to Scrooge, serving as a catalyst for his transformation and moral reckoning.""The Ghost of Marley refers to the apparition that appears to Scrooge, serving as a catalyst for his transformation and moral reckoning.""The Ghost of Marley refers to the apparition that appears to Scrooge, serving as a catalyst for his transformation and moral reckoning.""The Ghost of Marley refers to the apparition that appears to Scrooge, serving as a catalyst for his transformation and moral reckoning.""The Ghost of Marley refers to the apparition that appears to Scrooge, serving as a catalyst for his transformation and moral reckoning."', 'source_id': 'chunk-d9aac3484185ac66045df92214d245d5'}> +2024-10-30 06:49:45,426 - lightrag - INFO - get_node:query:MATCH (n:`COLD WEATHER`) RETURN n:result:"Cold Weather sets the bleak and unforgiving atmosphere, reflecting Scrooge’s own personality and state of mind.""Cold Weather sets the bleak and unforgiving atmosphere, reflecting Scrooge’s own personality and state of mind.""Cold Weather sets the bleak and unforgiving atmosphere, reflecting Scrooge’s own personality and state of mind.""Cold Weather sets the bleak and unforgiving atmosphere, reflecting Scrooge’s own personality and state of mind.""Cold Weather sets the bleak and unforgiving atmosphere, reflecting Scrooge’s own personality and state of mind."', 'source_id': 'chunk-f1a4fbcf1ed86864b9bfd5e8dba4c683chunk-74e2466de2f67fd710ef2f20c0a8d9e0'}> +2024-10-30 06:49:45,515 - lightrag - INFO - get_node:query:MATCH (n:`MERRIMENT`) RETURN n:result:"Merriment embodies the joy and celebration associated with the holiday season and the gathering of family and friends in the narrative.""Merriment embodies the joy and celebration associated with the holiday season and the gathering of family and friends in the narrative.""Merriment embodies the joy and celebration associated with the holiday season and the gathering of family and friends in the narrative.""Merriment embodies the joy and celebration associated with the holiday season and the gathering of family and friends in the narrative.""Merriment refers to the joyful and festive atmosphere that the characters aim to create, opposing Scrooge\'s jaded perspective on social gatherings.""Merriment refers to the joyful and festive atmosphere that the characters aim to create, opposing Scrooge\'s jaded perspective on social gatherings.""Merriment refers to the joyful and festive atmosphere that the characters aim to create, opposing Scrooge\'s jaded perspective on social gatherings.""Merriment refers to the joyful and festive atmosphere that the characters aim to create, opposing Scrooge\'s jaded perspective on social gatherings.""Merriment refers to the joyful and festive atmosphere that the characters aim to create, opposing Scrooge\'s jaded perspective on social gatherings."', 'source_id': 'chunk-773d0df1dd25c356f7b771d780583e09chunk-e7637ff18c5ded77a68cce0a87883fad'}> +2024-10-30 06:49:45,603 - lightrag - INFO - get_node:query:MATCH (n:`WANT`) RETURN n:result:"Want is represented as the second child shown by the Spirit, symbolizing the dire social conditions and needs of the impoverished.""Want represents another societal failing, portrayed as a girl, symbolizing deprivation and yearning for basic needs.""Want is represented as the second child shown by the Spirit, symbolizing the dire social conditions and needs of the impoverished.""Want represents another societal failing, portrayed as a girl, symbolizing deprivation and yearning for basic needs.""Want is represented as the second child shown by the Spirit, symbolizing the dire social conditions and needs of the impoverished.""Want represents another societal failing, portrayed as a girl, symbolizing deprivation and yearning for basic needs.""Want is represented as the second child shown by the Spirit, symbolizing the dire social conditions and needs of the impoverished.""Want represents another societal failing, portrayed as a girl, symbolizing deprivation and yearning for basic needs.""Want is represented as the second child shown by the Spirit, symbolizing the dire social conditions and needs of the impoverished.""Want represents another societal failing, portrayed as a girl, symbolizing deprivation and yearning for basic needs."', 'source_id': 'chunk-02baee20cc9463dbe08170a8e1043e32chunk-e7637ff18c5ded77a68cce0a87883fad'}> +2024-10-30 06:49:45,692 - lightrag - INFO - get_node:query:MATCH (n:`THE SCHOOL`) RETURN n:result: +2024-10-30 06:49:45,779 - lightrag - INFO - get_node:query:MATCH (n:`THE DARK ROOM`) RETURN n:result:"The Dark Room is where the corpse lies, symbolizing isolation and the lack of care for the deceased.""The Dark Room is where the corpse lies, symbolizing isolation and the lack of care for the deceased.""The Dark Room is where the corpse lies, symbolizing isolation and the lack of care for the deceased.""The Dark Room is where the corpse lies, symbolizing isolation and the lack of care for the deceased.""The Dark Room serves as the setting for the scene, enhancing the atmosphere of dread and the theme of impending death."', 'source_id': 'chunk-e1f29eeadc1d8ab46dc8a0bbd3c56b64'}> +2024-10-30 06:49:45,866 - lightrag - INFO - get_node:query:MATCH (n:`CAROLINE`) RETURN n:result:"Caroline is portrayed as a mother filled with hope and emotion regarding her husband’s situation, revealing her character through her reactions to news.""Caroline is portrayed as a mother filled with hope and emotion regarding her husband’s situation, revealing her character through her reactions to news.""Caroline is portrayed as a mother filled with hope and emotion regarding her husband’s situation, revealing her character through her reactions to news.""Caroline is portrayed as a mother filled with hope and emotion regarding her husband’s situation, revealing her character through her reactions to news.""Caroline is portrayed as a mother filled with hope and emotion regarding her husband’s situation, revealing her character through her reactions to news."', 'source_id': 'chunk-83ac129dc9b56f84c46760d153d68e93'}> +2024-10-30 06:49:45,953 - lightrag - INFO - get_node:query:MATCH (n:`EVENING`) RETURN n:result: +2024-10-30 06:49:46,043 - lightrag - INFO - get_node:query:MATCH (n:`THE CRATCHIT FAMILY`) RETURN n:result:"The Cratchit Family consists of Bob, Mrs. Cratchit, Tiny Tim, and their children, characterized by their strong familial bonds and love for one another despite financial struggles.""The Cratchit Family consists of Bob, Mrs. Cratchit, Tiny Tim, and their children, characterized by their strong familial bonds and love for one another despite financial struggles.""The Cratchit Family consists of Bob, Mrs. Cratchit, Tiny Tim, and their children, characterized by their strong familial bonds and love for one another despite financial struggles.""The Cratchit Family consists of Bob, Mrs. Cratchit, Tiny Tim, and their children, characterized by their strong familial bonds and love for one another despite financial struggles.""The Cratchit Family consists of Bob, Mrs. Cratchit, and their children, highlighting themes of familial love and support amidst hardship.""The Cratchit Family is a close-knit family depicted in the text, characterized by love and warmth, celebrating Christmas together despite their difficulties.""The Cratchit Family represents a typical struggling family in the text, highlighting the theme of social disparity during Christmas.""The Cratchit Family is a close-knit family depicted in the text, characterized by love and warmth, celebrating Christmas together despite their difficulties.""The Cratchit Family represents a typical struggling family in the text, highlighting the theme of social disparity during Christmas.""The Cratchit Family is a close-knit family depicted in the text, characterized by love and warmth, celebrating Christmas together despite their difficulties.""The Cratchit Family represents a typical struggling family in the text, highlighting the theme of social disparity during Christmas.""The Cratchit Family is a close-knit family depicted in the text, characterized by love and warmth, celebrating Christmas together despite their difficulties.""The Cratchit Family represents a typical struggling family in the text, highlighting the theme of social disparity during Christmas.""The Cratchit Family is a close-knit family depicted in the text, characterized by love and warmth, celebrating Christmas together despite their difficulties.""The Cratchit Family represents a typical struggling family in the text, highlighting the theme of social disparity during Christmas."', 'source_id': 'chunk-503f0bfa5453467c7c61d160a3540ecachunk-90d5764e301321c087f5a8f78b73a145chunk-1d4b58de5429cd1261370c231c8673e8'}> +2024-10-30 06:49:46,131 - lightrag - INFO - get_node:query:MATCH (n:`TINY TIM`) RETURN n:result:chunk-19d72c57ae3408758b18d2568e86dc6bchunk-503f0bfa5453467c7c61d160a3540ecachunk-91572b3cd42786ba4cb2f180ca25cbf4chunk-9e3921da66da5d761ab73cd849af6c43chunk-8f738cb25d60a7dab782162d9d0a25edchunk-94bea83e7153fc2064aa382b494936a1chunk-83ac129dc9b56f84c46760d153d68e93chunk-7e2e7ebcc19a53b399dc03aded4743e7chunk-1d4b58de5429cd1261370c231c8673e8'}> +2024-10-30 06:49:46,219 - lightrag - INFO - get_node:query:MATCH (n:`BOB CRATCHIT`) RETURN n:result:chunk-90b95db5c53e4364a6bee36b7aa4d70fchunk-d9aac3484185ac66045df92214d245d5chunk-19d72c57ae3408758b18d2568e86dc6bchunk-503f0bfa5453467c7c61d160a3540ecachunk-91572b3cd42786ba4cb2f180ca25cbf4chunk-9e3921da66da5d761ab73cd849af6c43chunk-94bea83e7153fc2064aa382b494936a1chunk-83ac129dc9b56f84c46760d153d68e93chunk-7e2e7ebcc19a53b399dc03aded4743e7chunk-1d4b58de5429cd1261370c231c8673e8'}> +2024-10-30 06:49:46,386 - lightrag - INFO - _find_node_degree:query: + MATCH (n:`TIME`) + RETURN COUNT{ (n)--() } AS totalEdgeCount + :result:0 +2024-10-30 06:49:46,562 - lightrag - INFO - _find_node_degree:query: + MATCH (n:`THE DEATH`) + RETURN COUNT{ (n)--() } AS totalEdgeCount + :result:0 +2024-10-30 06:49:46,735 - lightrag - INFO - _find_node_degree:query: + MATCH (n:`THE EVENT OF DEATH`) + RETURN COUNT{ (n)--() } AS totalEdgeCount + :result:1 +2024-10-30 06:49:46,908 - lightrag - INFO - _find_node_degree:query: + MATCH (n:`THE TOWN`) + RETURN COUNT{ (n)--() } AS totalEdgeCount + :result:1 +2024-10-30 06:49:47,077 - lightrag - INFO - _find_node_degree:query: + MATCH (n:`CHRISTMAS`) + RETURN COUNT{ (n)--() } AS totalEdgeCount + :result:25 +2024-10-30 06:49:47,247 - lightrag - INFO - _find_node_degree:query: + MATCH (n:`HOPE`) + RETURN COUNT{ (n)--() } AS totalEdgeCount + :result:2 +2024-10-30 06:49:47,423 - lightrag - INFO - _find_node_degree:query: + MATCH (n:`CLOCK'S STRIKE`) + RETURN COUNT{ (n)--() } AS totalEdgeCount + :result:0 +2024-10-30 06:49:47,596 - lightrag - INFO - _find_node_degree:query: + MATCH (n:`THE COLD AIR`) + RETURN COUNT{ (n)--() } AS totalEdgeCount + :result:0 +2024-10-30 06:49:47,768 - lightrag - INFO - _find_node_degree:query: + MATCH (n:`THE STOLEN GOODS`) + RETURN COUNT{ (n)--() } AS totalEdgeCount + :result:0 +2024-10-30 06:49:47,939 - lightrag - INFO - _find_node_degree:query: + MATCH (n:`THE SPECTRE`) + RETURN COUNT{ (n)--() } AS totalEdgeCount + :result:0 +2024-10-30 06:49:48,110 - lightrag - INFO - _find_node_degree:query: + MATCH (n:`DEATH`) + RETURN COUNT{ (n)--() } AS totalEdgeCount + :result:4 +2024-10-30 06:49:48,280 - lightrag - INFO - _find_node_degree:query: + MATCH (n:`THE BED`) + RETURN COUNT{ (n)--() } AS totalEdgeCount + :result:2 +2024-10-30 06:49:48,457 - lightrag - INFO - _find_node_degree:query: + MATCH (n:`JUDGMENT`) + RETURN COUNT{ (n)--() } AS totalEdgeCount + :result:0 +2024-10-30 06:49:48,631 - lightrag - INFO - _find_node_degree:query: + MATCH (n:`CLOCK`) + RETURN COUNT{ (n)--() } AS totalEdgeCount + :result:1 +2024-10-30 06:49:48,814 - lightrag - INFO - _find_node_degree:query: + MATCH (n:`SCROOGE`) + RETURN COUNT{ (n)--() } AS totalEdgeCount + :result:151 +2024-10-30 06:49:49,008 - lightrag - INFO - _find_node_degree:query: + MATCH (n:`THE MEETING`) RETURN COUNT{ (n)--() } AS totalEdgeCount :result:0 -2024-10-29 15:34:00,309 - lightrag - INFO - _find_node_degree:query: - MATCH (n:`DARKNESS`) +2024-10-30 06:49:49,177 - lightrag - INFO - _find_node_degree:query: + MATCH (n:`THE GHOST`) + RETURN COUNT{ (n)--() } AS totalEdgeCount + :result:6 +2024-10-30 06:49:49,349 - lightrag - INFO - _find_node_degree:query: + MATCH (n:`MARLEY`) + RETURN COUNT{ (n)--() } AS totalEdgeCount + :result:5 +2024-10-30 06:49:49,520 - lightrag - INFO - _find_node_degree:query: + MATCH (n:`THE BUNDLE`) RETURN COUNT{ (n)--() } AS totalEdgeCount :result:1 -2024-10-29 15:34:00,479 - lightrag - INFO - _find_node_degree:query: - MATCH (n:`THE PHANTOM`) +2024-10-30 06:49:49,694 - lightrag - INFO - _find_node_degree:query: + MATCH (n:`THE RAGS`) RETURN COUNT{ (n)--() } AS totalEdgeCount - :result:2 -2024-10-29 15:34:00,646 - lightrag - INFO - _find_node_degree:query: - MATCH (n:`THE COSMIC SIGNIFICANCE`) + :result:0 +2024-10-30 06:49:49,864 - lightrag - INFO - _find_node_degree:query: + MATCH (n:`SNOW`) RETURN COUNT{ (n)--() } AS totalEdgeCount :result:0 -2024-10-29 15:34:00,819 - lightrag - INFO - _find_node_degree:query: - MATCH (n:`CHRISTMAS HOLIDAYS`) +2024-10-30 06:49:50,029 - lightrag - INFO - _find_node_degree:query: + MATCH (n:`THE FUNERAL`) + RETURN COUNT{ (n)--() } AS totalEdgeCount + :result:2 +2024-10-30 06:49:50,197 - lightrag - INFO - _find_node_degree:query: + MATCH (n:`MARTHA`) + RETURN COUNT{ (n)--() } AS totalEdgeCount + :result:5 +2024-10-30 06:49:50,369 - lightrag - INFO - _find_node_degree:query: + MATCH (n:`THE MOTHER`) + RETURN COUNT{ (n)--() } AS totalEdgeCount + :result:5 +2024-10-30 06:49:50,536 - lightrag - INFO - _find_node_degree:query: + MATCH (n:`DING DONG`) RETURN COUNT{ (n)--() } AS totalEdgeCount :result:0 -2024-10-29 15:34:00,988 - lightrag - INFO - _find_node_degree:query: - MATCH (n:`PONDEROUS CHAIN`) +2024-10-30 06:49:50,705 - lightrag - INFO - _find_node_degree:query: + MATCH (n:`THE HOUSE`) + RETURN COUNT{ (n)--() } AS totalEdgeCount + :result:2 +2024-10-30 06:49:50,873 - lightrag - INFO - _find_node_degree:query: + MATCH (n:`THE DEBT`) + RETURN COUNT{ (n)--() } AS totalEdgeCount + :result:1 +2024-10-30 06:49:51,040 - lightrag - INFO - _find_node_degree:query: + MATCH (n:`COLD`) RETURN COUNT{ (n)--() } AS totalEdgeCount :result:0 -2024-10-29 15:34:01,161 - lightrag - INFO - _find_node_degree:query: - MATCH (n:`HUMANITY`) +2024-10-30 06:49:51,206 - lightrag - INFO - _find_node_degree:query: + MATCH (n:`THE FOG AND FROST`) + RETURN COUNT{ (n)--() } AS totalEdgeCount + :result:2 +2024-10-30 06:49:51,380 - lightrag - INFO - _find_node_degree:query: + MATCH (n:`LONDON`) RETURN COUNT{ (n)--() } AS totalEdgeCount :result:1 -2024-10-29 15:34:01,329 - lightrag - INFO - _find_node_degree:query: - MATCH (n:`CHRISTMAS`) +2024-10-30 06:49:51,552 - lightrag - INFO - _find_node_degree:query: + MATCH (n:`CITY`) RETURN COUNT{ (n)--() } AS totalEdgeCount - :result:18 -2024-10-29 15:34:01,504 - lightrag - INFO - _find_node_degree:query: - MATCH (n:`DEATH`) + :result:2 +2024-10-30 06:49:51,719 - lightrag - INFO - _find_node_degree:query: + MATCH (n:`THE DYING FLAME`) + RETURN COUNT{ (n)--() } AS totalEdgeCount + :result:1 +2024-10-30 06:49:51,891 - lightrag - INFO - _find_node_degree:query: + MATCH (n:`THE PHANTOM`) + RETURN COUNT{ (n)--() } AS totalEdgeCount + :result:2 +2024-10-30 06:49:52,057 - lightrag - INFO - _find_node_degree:query: + MATCH (n:`JOE`) RETURN COUNT{ (n)--() } AS totalEdgeCount :result:3 -2024-10-29 15:34:01,673 - lightrag - INFO - _find_node_degree:query: - MATCH (n:`SCROOGE`) +2024-10-30 06:49:52,223 - lightrag - INFO - _find_node_degree:query: + MATCH (n:`WINDING RIVER`) RETURN COUNT{ (n)--() } AS totalEdgeCount - :result:100 -2024-10-29 15:34:01,844 - lightrag - INFO - _find_node_degree:query: - MATCH (n:`RUSTY KEYS, NAILS, CHAINS, HINGES`) + :result:1 +2024-10-30 06:49:52,389 - lightrag - INFO - _find_node_degree:query: + MATCH (n:`SPECTRE`) RETURN COUNT{ (n)--() } AS totalEdgeCount :result:1 -2024-10-29 15:34:02,018 - lightrag - INFO - _find_node_degree:query: - MATCH (n:`THE PENANCE`) +2024-10-30 06:49:52,560 - lightrag - INFO - _find_node_degree:query: + MATCH (n:`THE VISION`) RETURN COUNT{ (n)--() } AS totalEdgeCount :result:0 -2024-10-29 15:34:02,192 - lightrag - INFO - _find_node_degree:query: - MATCH (n:`MAN`) +2024-10-30 06:49:52,730 - lightrag - INFO - _find_node_degree:query: + MATCH (n:`THE FAMILY`) RETURN COUNT{ (n)--() } AS totalEdgeCount :result:1 -2024-10-29 15:34:02,365 - lightrag - INFO - _find_node_degree:query: - MATCH (n:`THE SCHOOLMASTER`) +2024-10-30 06:49:52,908 - lightrag - INFO - _find_node_degree:query: + MATCH (n:`THE ACCUSATION`) + RETURN COUNT{ (n)--() } AS totalEdgeCount + :result:0 +2024-10-30 06:49:53,076 - lightrag - INFO - _find_node_degree:query: + MATCH (n:`CRATCHIT FAMILY`) + RETURN COUNT{ (n)--() } AS totalEdgeCount + :result:13 +2024-10-30 06:49:53,245 - lightrag - INFO - _find_node_degree:query: + MATCH (n:`THE CHAIN`) RETURN COUNT{ (n)--() } AS totalEdgeCount :result:1 -2024-10-29 15:34:02,537 - lightrag - INFO - _find_node_degree:query: - MATCH (n:`THE GRAVE`) +2024-10-30 06:49:53,419 - lightrag - INFO - _find_node_degree:query: + MATCH (n:`THE CLOCK`) + RETURN COUNT{ (n)--() } AS totalEdgeCount + :result:2 +2024-10-30 06:49:53,587 - lightrag - INFO - _find_node_degree:query: + MATCH (n:`SPIRIT`) + RETURN COUNT{ (n)--() } AS totalEdgeCount + :result:13 +2024-10-30 06:49:53,761 - lightrag - INFO - _find_node_degree:query: + MATCH (n:`DINNER`) RETURN COUNT{ (n)--() } AS totalEdgeCount :result:1 -2024-10-29 15:34:02,707 - lightrag - INFO - _find_node_degree:query: - MATCH (n:`KEYHOLE`) +2024-10-30 06:49:53,930 - lightrag - INFO - _find_node_degree:query: + MATCH (n:`THE SHOP`) RETURN COUNT{ (n)--() } AS totalEdgeCount - :result:0 -2024-10-29 15:34:02,878 - lightrag - INFO - _find_node_degree:query: - MATCH (n:`SCHOOL`) + :result:1 +2024-10-30 06:49:54,102 - lightrag - INFO - _find_node_degree:query: + MATCH (n:`THE COUNTESS`) RETURN COUNT{ (n)--() } AS totalEdgeCount :result:2 -2024-10-29 15:34:03,050 - lightrag - INFO - _find_node_degree:query: - MATCH (n:`THE CHAIN`) +2024-10-30 06:49:54,277 - lightrag - INFO - _find_node_degree:query: + MATCH (n:`MISCELLANEOUS TATTERS`) RETURN COUNT{ (n)--() } AS totalEdgeCount :result:0 -2024-10-29 15:34:03,218 - lightrag - INFO - _find_node_degree:query: - MATCH (n:`THE THREE SPIRITS`) +2024-10-30 06:49:54,450 - lightrag - INFO - _find_node_degree:query: + MATCH (n:`THE WAVE`) + RETURN COUNT{ (n)--() } AS totalEdgeCount + :result:1 +2024-10-30 06:49:54,624 - lightrag - INFO - _find_node_degree:query: + MATCH (n:`HAPPINESS`) + RETURN COUNT{ (n)--() } AS totalEdgeCount + :result:1 +2024-10-30 06:49:54,798 - lightrag - INFO - _find_node_degree:query: + MATCH (n:`THE GHOST OF MARLEY`) RETURN COUNT{ (n)--() } AS totalEdgeCount :result:1 -2024-10-29 15:34:03,386 - lightrag - INFO - _find_node_degree:query: - MATCH (n:`THE COLD`) +2024-10-30 06:49:54,972 - lightrag - INFO - _find_node_degree:query: + MATCH (n:`COLD WEATHER`) RETURN COUNT{ (n)--() } AS totalEdgeCount :result:1 -2024-10-29 15:34:03,553 - lightrag - INFO - _find_node_degree:query: - MATCH (n:`DEEDS`) +2024-10-30 06:49:55,147 - lightrag - INFO - _find_node_degree:query: + MATCH (n:`MERRIMENT`) + RETURN COUNT{ (n)--() } AS totalEdgeCount + :result:0 +2024-10-30 06:49:55,313 - lightrag - INFO - _find_node_degree:query: + MATCH (n:`WANT`) + RETURN COUNT{ (n)--() } AS totalEdgeCount + :result:2 +2024-10-30 06:49:55,488 - lightrag - INFO - _find_node_degree:query: + MATCH (n:`THE SCHOOL`) RETURN COUNT{ (n)--() } AS totalEdgeCount :result:0 -2024-10-29 15:34:03,724 - lightrag - INFO - _find_node_degree:query: - MATCH (n:`THE BLESSED STAR`) +2024-10-30 06:49:55,656 - lightrag - INFO - _find_node_degree:query: + MATCH (n:`THE DARK ROOM`) + RETURN COUNT{ (n)--() } AS totalEdgeCount + :result:0 +2024-10-30 06:49:55,829 - lightrag - INFO - _find_node_degree:query: + MATCH (n:`CAROLINE`) + RETURN COUNT{ (n)--() } AS totalEdgeCount + :result:3 +2024-10-30 06:49:56,001 - lightrag - INFO - _find_node_degree:query: + MATCH (n:`EVENING`) RETURN COUNT{ (n)--() } AS totalEdgeCount :result:0 -2024-10-29 15:34:03,895 - lightrag - INFO - _find_node_degree:query: - MATCH (n:`THE CANDLE`) +2024-10-30 06:49:56,164 - lightrag - INFO - _find_node_degree:query: + MATCH (n:`THE CRATCHIT FAMILY`) + RETURN COUNT{ (n)--() } AS totalEdgeCount + :result:2 +2024-10-30 06:49:56,332 - lightrag - INFO - _find_node_degree:query: + MATCH (n:`TINY TIM`) + RETURN COUNT{ (n)--() } AS totalEdgeCount + :result:12 +2024-10-30 06:49:56,504 - lightrag - INFO - _find_node_degree:query: + MATCH (n:`BOB CRATCHIT`) + RETURN COUNT{ (n)--() } AS totalEdgeCount + :result:21 +2024-10-30 06:50:07,217 - lightrag - INFO - get_node:query:MATCH (n:`MARLEY`) RETURN n:result:"Marley is Scrooge\'s deceased business partner whose presence looms over the story, symbolizing the consequences of a life similar to Scrooge\'s.""Marley is Scrooge\'s deceased business partner, whose death is a significant event that sets the tone for the story.""Marley is Scrooge\'s deceased business partner, whose death is mentioned as impactful, having passed seven years prior to the events in the text.""Marley is depicted as a ghost, having a pigtail, waistcoat, tights, and boots, and is central to Scrooge\'s haunting experience."Marley is Scrooge\'s deceased business partner, whose presence looms over the narrative of the story, symbolizing the dire consequences of a life lived without compassion and care for others. His death serves as a significant event that sets the tone for the plot and reflects the overarching themes of regret and the supernatural.\n\nMarley passed away seven years prior to the events depicted, making his spectral appearance even more impactful. Despite being a character who is only mentioned throughout much of the story, his influence on Scrooge is profound, as reflections and memories of Marley shape Scrooge\'s perspective on life and relationships. This ghostly figure is depicted distinctly with a pigtail, waistcoat, tights, and boots, making him central to Scrooge\'s haunting experience.\n\nOverall, Marley represents the weight of past actions and the importance of empathy, acting as a harbinger of transformation for Scrooge. His ghostly manifestation evokes both fear and introspection, ultimately contributing to the moral lessons embedded in the tale."Marley is Scrooge\'s deceased business partner, whose death is a significant event that sets the tone for the story.""Marley is Scrooge\'s deceased business partner, whose death is mentioned as impactful, having passed seven years prior to the events in the text.""Marley is depicted as a ghost, having a pigtail, waistcoat, tights, and boots, and is central to Scrooge\'s haunting experience."', 'source_id': 'chunk-5dac41b3f9eeaf794f0147400b1718cdchunk-89777b838d5447c7bd1ec11282c4ee89chunk-d9aac3484185ac66045df92214d245d5chunk-9c43dac2fcd5b578242d907ea6f8fc7bchunk-843b5b2f944c7413d9ca876e2e2f151f'}> +2024-10-30 06:50:07,304 - lightrag - INFO - get_node:query:MATCH (n:`THE CITY`) RETURN n:result:"The City represents the bustling urban environment where Scrooge reflects on his past, filled with activity and shadowy figures.""The City, from which Scrooge is transported, represents his past life and is contrasted with the open country road that signifies his memories.""The City refers to the broader urban environment in which Scrooge operates and signifies the societal norms and attitudes towards Christmas.""The City represents the bustling urban environment where Scrooge\'s memories unfold, highlighting the contrast between his past and present.""The City refers to the broader urban environment in which Scrooge operates and signifies the societal norms and attitudes towards Christmas.""The City represents the bustling urban environment where Scrooge\'s memories unfold, highlighting the contrast between his past and present.""The City refers to the broader urban environment in which Scrooge operates and signifies the societal norms and attitudes towards Christmas.""The City represents the bustling urban environment where Scrooge\'s memories unfold, highlighting the contrast between his past and present.""The City refers to the broader urban environment in which Scrooge operates and signifies the societal norms and attitudes towards Christmas.""The City represents the bustling urban environment where Scrooge\'s memories unfold, highlighting the contrast between his past and present.""The City refers to the broader urban environment in which Scrooge operates and signifies the societal norms and attitudes towards Christmas.""The City represents the bustling urban environment where Scrooge\'s memories unfold, highlighting the contrast between his past and present."', 'source_id': 'chunk-74e2466de2f67fd710ef2f20c0a8d9e0chunk-c6c248858d1b13ab7ee9ca13c1aeed6bchunk-94bea83e7153fc2064aa382b494936a1chunk-bb21d58d36c6306fd8810ddd51c4a971'}> +2024-10-30 06:50:07,389 - lightrag - INFO - get_node:query:MATCH (n:`BEDLAM`) RETURN n:result:"Bedlam is referenced as a metaphorical expression of madness, illustrating Scrooge\'s disdain for cheerful attitudes he finds absurd.""Bedlam is referenced as a metaphorical expression of madness, illustrating Scrooge\'s disdain for cheerful attitudes he finds absurd.""Bedlam is referenced as a metaphorical expression of madness, illustrating Scrooge\'s disdain for cheerful attitudes he finds absurd.""Bedlam is referenced as a metaphorical expression of madness, illustrating Scrooge\'s disdain for cheerful attitudes he finds absurd.""Bedlam is referenced as a metaphorical place for madness, illustrating Scrooge\'s disdain for the cheerful nature of Christmas and his sense of isolation."', 'source_id': 'chunk-5dac41b3f9eeaf794f0147400b1718cd'}> +2024-10-30 06:50:07,472 - lightrag - INFO - get_node:query:MATCH (n:`MASTER PETER CRATCHIT`) RETURN n:result: +2024-10-30 06:50:07,559 - lightrag - INFO - get_node:query:MATCH (n:`VALENTINE`) RETURN n:result:"Valentine is mentioned as a character associated with Scrooge\'s childhood memories, indicating the depth of his nostalgia.""Valentine is mentioned as a character associated with Scrooge\'s childhood memories, indicating the depth of his nostalgia.""Valentine is mentioned as a character associated with Scrooge\'s childhood memories, indicating the depth of his nostalgia.""Valentine is mentioned as a character associated with Scrooge\'s childhood memories, indicating the depth of his nostalgia.""Valentine is referenced as a brother of a character, and his presence contributes to the holiday memories Scrooge recalls."', 'source_id': 'chunk-8590d9263cd2cd4fa583c432fc54e6c3'}> +2024-10-30 06:50:07,645 - lightrag - INFO - get_node:query:MATCH (n:`BRIDGE`) RETURN n:result: +2024-10-30 06:50:07,731 - lightrag - INFO - get_node:query:MATCH (n:`FROST`) RETURN n:result: +2024-10-30 06:50:07,819 - lightrag - INFO - get_node:query:MATCH (n:`THE CHRISTMAS DINNER`) RETURN n:result: +2024-10-30 06:50:07,908 - lightrag - INFO - get_node:query:MATCH (n:`THE POULTERER'S`) RETURN n:result:"The Poulterer\'s is a shop mentioned by Scrooge, relevant in the context of his generous actions towards the Cratchit family.""The Poulterer\'s is a shop mentioned by Scrooge, relevant in the context of his generous actions towards the Cratchit family.""The Poulterer\'s is a shop mentioned by Scrooge, relevant in the context of his generous actions towards the Cratchit family.""The Poulterer\'s is a shop mentioned by Scrooge, relevant in the context of his generous actions towards the Cratchit family.""The Poulterer\'s is a shop where Scrooge intends to buy a turkey for the Cratchit family."', 'source_id': 'chunk-90b95db5c53e4364a6bee36b7aa4d70f'}> +2024-10-30 06:50:07,995 - lightrag - INFO - get_node:query:MATCH (n:`CHRISTMAS CAROL`) RETURN n:result:"The Christmas Carol is a musical tradition performed during the Christmas season, symbolizing goodwill and festive spirit."', 'source_id': 'chunk-90d5764e301321c087f5a8f78b73a145chunk-8590d9263cd2cd4fa583c432fc54e6c3'}> +2024-10-30 06:50:08,087 - lightrag - INFO - get_node:query:MATCH (n:`JOE`) RETURN n:result:"Joe is a marine-store dealer depicted as receiving stolen goods, illustrating the consequences of crime and the darker sides of society.""Joe is portrayed as a character engaged in a conversation about the deceased, displaying a mix of humor and practicality in dealing with the possessions of the dead.""Joe is a character who interacts with others, demonstrating a sense of curiosity and disbelief regarding certain situations and comments.""Joe is a marine-store dealer and receiver of stolen goods, indicative of the darker, more unscrupulous elements of society.""Joe is an old character who engages in conversation about the deceased man\'s belongings, revealing his pragmatic and somewhat cynical perspective on life and death.""Joe is a character who interacts with others, demonstrating a sense of curiosity and disbelief regarding certain situations and comments.""Joe is a marine-store dealer and receiver of stolen goods, indicative of the darker, more unscrupulous elements of society.""Joe is an old character who engages in conversation about the deceased man\'s belongings, revealing his pragmatic and somewhat cynical perspective on life and death.""Joe is a character who interacts with others, demonstrating a sense of curiosity and disbelief regarding certain situations and comments.""Joe is a marine-store dealer and receiver of stolen goods, indicative of the darker, more unscrupulous elements of society.""Joe is an old character who engages in conversation about the deceased man\'s belongings, revealing his pragmatic and somewhat cynical perspective on life and death.""Joe is a character who interacts with others, demonstrating a sense of curiosity and disbelief regarding certain situations and comments.""Joe is a marine-store dealer and receiver of stolen goods, indicative of the darker, more unscrupulous elements of society.""Joe is an old character who engages in conversation about the deceased man\'s belongings, revealing his pragmatic and somewhat cynical perspective on life and death.""Joe is a character who interacts with others, demonstrating a sense of curiosity and disbelief regarding certain situations and comments.""Joe is a marine-store dealer and receiver of stolen goods, indicative of the darker, more unscrupulous elements of society.""Joe is an old character who engages in conversation about the deceased man\'s belongings, revealing his pragmatic and somewhat cynical perspective on life and death."', 'source_id': 'chunk-e1f29eeadc1d8ab46dc8a0bbd3c56b64chunk-9e3921da66da5d761ab73cd849af6c43chunk-89777b838d5447c7bd1ec11282c4ee89'}> +2024-10-30 06:50:08,174 - lightrag - INFO - get_node:query:MATCH (n:`SCROOGE'S NIECE`) RETURN n:result:"Scrooge\'s Niece is a lively character who expresses indignation towards Scrooge\'s disdain for Christmas and embodies warmth and charm, showing affection and concern for family.""Scrooge\'s Niece is a lively character who expresses indignation towards Scrooge\'s disdain for Christmas and embodies warmth and charm, showing affection and concern for family.""Scrooge\'s Niece is a lively character who expresses indignation towards Scrooge\'s disdain for Christmas and embodies warmth and charm, showing affection and concern for family.""Scrooge\'s Niece is a lively character who expresses indignation towards Scrooge\'s disdain for Christmas and embodies warmth and charm, showing affection and concern for family.""Scrooge\'s Niece is depicted as a beautiful and lively character who expresses strong opinions about her uncle Scrooge.""Scrooge\'s niece is depicted as a joyful participant in the evening\'s festivities, engaging in games and music.""Scrooge\'s niece is a central figure in the family gathering, enjoying the festivities and games, showing a loving and vibrant personality.""Scrooge\'s niece is a central figure in the family gathering, enjoying the festivities and games, showing a loving and vibrant personality.""Scrooge\'s niece is a central figure in the family gathering, enjoying the festivities and games, showing a loving and vibrant personality.""Scrooge\'s niece is a central figure in the family gathering, enjoying the festivities and games, showing a loving and vibrant personality.""Scrooge\'s niece is a central figure in the family gathering, enjoying the festivities and games, showing a loving and vibrant personality."', 'source_id': 'chunk-773d0df1dd25c356f7b771d780583e09chunk-43c9bee23adfa77aa9dedd22401bba7d'}> +2024-10-30 06:50:08,260 - lightrag - INFO - get_node:query:MATCH (n:`THE CLERK`) RETURN n:result:"The Clerk is an employee of Scrooge, who quietly awaits the end of the workday and represents the working class.""The Clerk works in Scrooge\'s counting-house, depicted as miserable and diminished under Scrooge\'s strict management."', 'source_id': 'chunk-90d5764e301321c087f5a8f78b73a145chunk-74e2466de2f67fd710ef2f20c0a8d9e0chunk-5dac41b3f9eeaf794f0147400b1718cd'}> +2024-10-30 06:50:08,346 - lightrag - INFO - get_node:query:MATCH (n:`THE LORD`) RETURN n:result:"The Lord is referenced in Martha\'s account of her work, underscoring the contrast between the Cratchit family\'s modest means and the nobility.""The Lord is referenced in Martha\'s account of her work, underscoring the contrast between the Cratchit family\'s modest means and the nobility.""The Lord is referenced in Martha\'s account of her work, underscoring the contrast between the Cratchit family\'s modest means and the nobility.""The Lord is referenced in Martha\'s account of her work, underscoring the contrast between the Cratchit family\'s modest means and the nobility.""The Lord is referenced in Martha\'s account of her work, underscoring the contrast between the Cratchit family\'s modest means and the nobility."', 'source_id': 'chunk-19d72c57ae3408758b18d2568e86dc6b'}> +2024-10-30 06:50:08,434 - lightrag - INFO - get_node:query:MATCH (n:`THE SHIP`) RETURN n:result:"The Ship is a vessel where the crew shares moments of kindness and reflection during Christmas, symbolizing unity and camaraderie.""The Ship is a vessel where the crew shares moments of kindness and reflection during Christmas, symbolizing unity and camaraderie.""The Ship is a vessel where the crew shares moments of kindness and reflection during Christmas, symbolizing unity and camaraderie.""The Ship is a vessel where the crew shares moments of kindness and reflection during Christmas, symbolizing unity and camaraderie.""The Ship is described as a vessel on the open sea, where the crew reflects on Christmas, showcasing camaraderie and a sense of belonging."', 'source_id': 'chunk-91614df5cb74cbe5e109a338a82041e9'}> +2024-10-30 06:50:08,521 - lightrag - INFO - get_node:query:MATCH (n:`TINY TIM`) RETURN n:result:chunk-19d72c57ae3408758b18d2568e86dc6bchunk-503f0bfa5453467c7c61d160a3540ecachunk-91572b3cd42786ba4cb2f180ca25cbf4chunk-9e3921da66da5d761ab73cd849af6c43chunk-8f738cb25d60a7dab782162d9d0a25edchunk-94bea83e7153fc2064aa382b494936a1chunk-83ac129dc9b56f84c46760d153d68e93chunk-7e2e7ebcc19a53b399dc03aded4743e7chunk-1d4b58de5429cd1261370c231c8673e8'}> +2024-10-30 06:50:08,610 - lightrag - INFO - get_node:query:MATCH (n:`SMOKING BISHOP`) RETURN n:result: +2024-10-30 06:50:08,697 - lightrag - INFO - get_node:query:MATCH (n:`FRIDAY`) RETURN n:result:"Friday is another character from the story of Robin Crusoe, noted in Scrooge\'s memories, indicating the impact of literature on his nostalgia.""Friday is another character from the story of Robin Crusoe, noted in Scrooge\'s memories, indicating the impact of literature on his nostalgia.""Friday is another character from the story of Robin Crusoe, noted in Scrooge\'s memories, indicating the impact of literature on his nostalgia.""Friday is another character from the story of Robin Crusoe, noted in Scrooge\'s memories, indicating the impact of literature on his nostalgia.""Friday is another character from the story of Robin Crusoe, noted in Scrooge\'s memories, indicating the impact of literature on his nostalgia."', 'source_id': 'chunk-8590d9263cd2cd4fa583c432fc54e6c3'}> +2024-10-30 06:50:08,784 - lightrag - INFO - get_node:query:MATCH (n:`LITTLE FAN`) RETURN n:result: +2024-10-30 06:50:08,870 - lightrag - INFO - get_node:query:MATCH (n:`GROCERS'`) RETURN n:result: +2024-10-30 06:50:08,957 - lightrag - INFO - get_node:query:MATCH (n:`OLD SCROOGE`) RETURN n:result: +2024-10-30 06:50:09,044 - lightrag - INFO - get_node:query:MATCH (n:`SUNDAY CLOTHES BOY`) RETURN n:result: +2024-10-30 06:50:09,133 - lightrag - INFO - get_node:query:MATCH (n:`THE LOW-BROWED SHOP`) RETURN n:result:"The Low-Browed Shop is a grim establishment in the town dealing in various unwanted goods, representing decay and desperation.""The Low-Browed Shop is a grim establishment in the town dealing in various unwanted goods, representing decay and desperation.""The Low-Browed Shop is a grim establishment in the town dealing in various unwanted goods, representing decay and desperation.""The Low-Browed Shop is a grim establishment in the town dealing in various unwanted goods, representing decay and desperation.""The Low-Browed Shop is a setting that symbolizes neglect and degradation, filled with discarded items and representing societal decay."', 'source_id': 'chunk-f1a4fbcf1ed86864b9bfd5e8dba4c683'}> +2024-10-30 06:50:09,219 - lightrag - INFO - get_node:query:MATCH (n:`WANT`) RETURN n:result:"Want is represented as the second child shown by the Spirit, symbolizing the dire social conditions and needs of the impoverished.""Want represents another societal failing, portrayed as a girl, symbolizing deprivation and yearning for basic needs.""Want is represented as the second child shown by the Spirit, symbolizing the dire social conditions and needs of the impoverished.""Want represents another societal failing, portrayed as a girl, symbolizing deprivation and yearning for basic needs.""Want is represented as the second child shown by the Spirit, symbolizing the dire social conditions and needs of the impoverished.""Want represents another societal failing, portrayed as a girl, symbolizing deprivation and yearning for basic needs.""Want is represented as the second child shown by the Spirit, symbolizing the dire social conditions and needs of the impoverished.""Want represents another societal failing, portrayed as a girl, symbolizing deprivation and yearning for basic needs.""Want is represented as the second child shown by the Spirit, symbolizing the dire social conditions and needs of the impoverished.""Want represents another societal failing, portrayed as a girl, symbolizing deprivation and yearning for basic needs."', 'source_id': 'chunk-02baee20cc9463dbe08170a8e1043e32chunk-e7637ff18c5ded77a68cce0a87883fad'}> +2024-10-30 06:50:09,300 - lightrag - INFO - get_node:query:MATCH (n:`THE FOG AND FROST`) RETURN n:result: +2024-10-30 06:50:09,388 - lightrag - INFO - get_node:query:MATCH (n:`FOG`) RETURN n:result:"Fog is a weather phenomenon that adds to the bleak atmosphere, reflecting the obscurity and confusion in Scrooge\'s life.""Fog represents the obscured visibility and confusion in Scrooge\'s surroundings, enhancing the atmosphere of uncertainty and apprehension.""Fog represents the obscurity and isolation in the environment, mirroring Scrooge’s emotional distance and isolation from society.""Fog represents the obscured visibility and confusion in Scrooge\'s surroundings, enhancing the atmosphere of uncertainty and apprehension.""Fog represents the obscurity and isolation in the environment, mirroring Scrooge’s emotional distance and isolation from society.""Fog represents the obscured visibility and confusion in Scrooge\'s surroundings, enhancing the atmosphere of uncertainty and apprehension.""Fog represents the obscurity and isolation in the environment, mirroring Scrooge’s emotional distance and isolation from society.""Fog represents the obscured visibility and confusion in Scrooge\'s surroundings, enhancing the atmosphere of uncertainty and apprehension.""Fog represents the obscurity and isolation in the environment, mirroring Scrooge’s emotional distance and isolation from society.""Fog represents the obscured visibility and confusion in Scrooge\'s surroundings, enhancing the atmosphere of uncertainty and apprehension.""Fog represents the obscurity and isolation in the environment, mirroring Scrooge’s emotional distance and isolation from society."', 'source_id': 'chunk-c7b10789a9cb0af6c553730b29bd9034chunk-d9aac3484185ac66045df92214d245d5chunk-74e2466de2f67fd710ef2f20c0a8d9e0'}> +2024-10-30 06:50:09,477 - lightrag - INFO - get_node:query:MATCH (n:`THE WINDOW`) RETURN n:result:"The Window is a physical presence in Scrooge\'s chamber that he approaches to observe the supernatural occurrences outside.""The Window is a physical presence in Scrooge\'s chamber that he approaches to observe the supernatural occurrences outside.""The Window is a physical presence in Scrooge\'s chamber that he approaches to observe the supernatural occurrences outside.""The Window is a physical presence in Scrooge\'s chamber that he approaches to observe the supernatural occurrences outside.""The Window represents a threshold between the visible and invisible worlds, allowing Scrooge a view into the realm of spirits and their lamentations."', 'source_id': 'chunk-cb661c37436355ccec2769b1d0350c5f'}> +2024-10-30 06:50:09,563 - lightrag - INFO - get_node:query:MATCH (n:`BELLE`) RETURN n:result:"Belle is Scrooge\'s former love, evidence of care and affection, now mentioned in the context of Scrooge’s memories.""Belle is Scrooge\'s former love, evidence of care and affection, now mentioned in the context of Scrooge’s memories.""Belle is Scrooge\'s former love, evidence of care and affection, now mentioned in the context of Scrooge’s memories.""Belle is Scrooge\'s former love, evidence of care and affection, now mentioned in the context of Scrooge’s memories.""Belle is Scrooge\'s former love, evidence of care and affection, now mentioned in the context of Scrooge’s memories."', 'source_id': 'chunk-da2472b4ef2a535b62908f14d0fb0ca9'}> +2024-10-30 06:50:09,648 - lightrag - INFO - get_node:query:MATCH (n:`BOB`) RETURN n:result:"Bob is referenced humorously by Scrooge in the context of a joke regarding a large turkey.""Bob is likely referenced as a character who may receive the turkey sent by Scrooge, highlighting the theme of generosity.""Bob is likely referenced as a character who may receive the turkey sent by Scrooge, highlighting the theme of generosity.""Bob is likely referenced as a character who may receive the turkey sent by Scrooge, highlighting the theme of generosity.""Bob is likely referenced as a character who may receive the turkey sent by Scrooge, highlighting the theme of generosity.""Bob is likely referenced as a character who may receive the turkey sent by Scrooge, highlighting the theme of generosity."', 'source_id': 'chunk-91572b3cd42786ba4cb2f180ca25cbf4chunk-8f738cb25d60a7dab782162d9d0a25ed'}> +2024-10-30 06:50:09,735 - lightrag - INFO - get_node:query:MATCH (n:`FELLOW-BEINGS`) RETURN n:result: +2024-10-30 06:50:09,822 - lightrag - INFO - get_node:query:MATCH (n:`CHRISTMAS`) RETURN n:result:chunk-c6c248858d1b13ab7ee9ca13c1aeed6bchunk-99b0ec7f7e006561352b5d65e849611dchunk-02baee20cc9463dbe08170a8e1043e32chunk-503f0bfa5453467c7c61d160a3540ecachunk-91572b3cd42786ba4cb2f180ca25cbf4chunk-8f738cb25d60a7dab782162d9d0a25edchunk-94bea83e7153fc2064aa382b494936a1chunk-1d4b58de5429cd1261370c231c8673e8chunk-74e2466de2f67fd710ef2f20c0a8d9e0chunk-89777b838d5447c7bd1ec11282c4ee89chunk-90d5764e301321c087f5a8f78b73a145chunk-91614df5cb74cbe5e109a338a82041e9chunk-54bdd22db1f84a965b5f4c06c9216d8dchunk-773d0df1dd25c356f7b771d780583e09chunk-5dac41b3f9eeaf794f0147400b1718cdchunk-43c9bee23adfa77aa9dedd22401bba7dchunk-da2472b4ef2a535b62908f14d0fb0ca9chunk-8590d9263cd2cd4fa583c432fc54e6c3'}> +2024-10-30 06:50:09,907 - lightrag - INFO - get_node:query:MATCH (n:`SPIRIT OF CHRISTMAS PRESENT`) RETURN n:result: +2024-10-30 06:50:09,997 - lightrag - INFO - get_node:query:MATCH (n:`MRS. CRATCHIT`) RETURN n:result:"Mrs. Cratchit is Bob\'s wife, proud of her cooking skills, particularly the Christmas pudding, and plays a central role in the family\'s holiday celebration.""Mrs. Cratchit is Bob\'s wife, who expresses care for her family and shares in the emotional moments surrounding Tiny Tim\'s health.""Mrs. Cratchit is portrayed as outspoken and resentful towards Scrooge, yet ultimately participates in the Christmas festivities for her family\'s sake.""Mrs. Cratchit is the mother of the Cratchit family, depicted as nurturing and energetic, managing the Christmas preparations and caring for her children.""Mrs. Cratchit is the wife of Bob Cratchit, who supports her family and embodies warmth and resilience despite their struggles.""Mrs. Cratchit, the wife of Bob, is industrious and caring, focused on the well-being of her family."Mrs. Cratchit is Bob Cratchit\'s devoted and hardworking wife, who plays a vital role in nurturing their family. She is characterized by her strong dedication to creating a joyous atmosphere in their home, despite the financial difficulties they face. As the mother of the Cratchit family, Mrs. Cratchit is nurturing and energetic, diligently managing Christmas preparations and ensuring that her children are well taken care of.\n\nProud of her cooking skills, particularly her Christmas pudding, Mrs. Cratchit showcases her commitment to family traditions. During the holiday festivities, she is actively involved, embodying warmth and resilience as she prepares meals and engages in celebrations that lift her family’s spirits. Her love for her family is evident as she expresses concern for her children, especially Tiny Tim, whose health brings emotional depth to their Christmas gathering.\n\nWhile she is portrayed as outspoken and harboring resentment towards Scrooge, she ultimately puts aside her feelings to fully participate in the Christmas festivities for the sake of her family. Her character embodies a blend of strength and vulnerability, reflecting both her pride and her struggles, and she remains a pivotal figure in the family\'s emotional dynamics during the holiday season.', 'source_id': 'chunk-b0f459f5af1c3a5e0b92cbe4ee48b77bchunk-19d72c57ae3408758b18d2568e86dc6bchunk-503f0bfa5453467c7c61d160a3540ecachunk-91572b3cd42786ba4cb2f180ca25cbf4chunk-9e3921da66da5d761ab73cd849af6c43chunk-7e2e7ebcc19a53b399dc03aded4743e7chunk-1d4b58de5429cd1261370c231c8673e8'}> +2024-10-30 06:50:10,084 - lightrag - INFO - get_node:query:MATCH (n:`STREET`) RETURN n:result: +2024-10-30 06:50:10,171 - lightrag - INFO - get_node:query:MATCH (n:`THE PRESENT`) RETURN n:result:"The Present emphasizes the importance of living in the moment and embracing current opportunities for change.""The Present emphasizes the importance of living in the moment and embracing current opportunities for change.""The Present emphasizes the importance of living in the moment and embracing current opportunities for change.""The Present emphasizes the importance of living in the moment and embracing current opportunities for change.""The Present represents the current moment in Scrooge\'s life that he must recognize and change to achieve redemption."', 'source_id': 'chunk-91572b3cd42786ba4cb2f180ca25cbf4'}> +2024-10-30 06:50:10,260 - lightrag - INFO - get_node:query:MATCH (n:`THE HOUSE`) RETURN n:result:"The House is the setting for Scrooge\'s encounters, characterized by its darkness, the creaking sounds, and the presence of the ghost.""The House is the setting for Scrooge\'s encounters, characterized by its darkness, the creaking sounds, and the presence of the ghost.""The House is the setting for Scrooge\'s encounters, characterized by its darkness, the creaking sounds, and the presence of the ghost.""The House is the setting for Scrooge\'s encounters, characterized by its darkness, the creaking sounds, and the presence of the ghost.""The House is the setting for the Christmas celebration and interactions among the characters, embodying warmth and family togetherness.""The House is the setting where Scrooge experiences the haunting, with a description of its features contributing to the eerie atmosphere."', 'source_id': 'chunk-da2472b4ef2a535b62908f14d0fb0ca9chunk-9c43dac2fcd5b578242d907ea6f8fc7b'}> +2024-10-30 06:50:10,347 - lightrag - INFO - get_node:query:MATCH (n:`CLERK`) RETURN n:result:"The Clerk is a minor character who provides a contrast to Scrooge\'s character, expressing warmth and kindness during the holiday season.""The Clerk is a minor character who provides a contrast to Scrooge\'s character, expressing warmth and kindness during the holiday season.""The Clerk is a minor character who provides a contrast to Scrooge\'s character, expressing warmth and kindness during the holiday season.""The Clerk is a minor character who provides a contrast to Scrooge\'s character, expressing warmth and kindness during the holiday season.""The Clerk is an unnamed character who serves Scrooge, exhibiting a hopeful disposition despite Scrooge\'s ill-tempered management."', 'source_id': 'chunk-d9aac3484185ac66045df92214d245d5chunk-5dac41b3f9eeaf794f0147400b1718cd'}> +2024-10-30 06:50:10,434 - lightrag - INFO - get_node:query:MATCH (n:`THE LIGHTHOUSE`) RETURN n:result:"The Lighthouse serves as a solitary structure representing hope and guidance amid a stormy sea, populated by individuals celebrating Christmas.""The Lighthouse serves as a solitary structure representing hope and guidance amid a stormy sea, populated by individuals celebrating Christmas.""The Lighthouse serves as a solitary structure representing hope and guidance amid a stormy sea, populated by individuals celebrating Christmas.""The Lighthouse serves as a solitary structure representing hope and guidance amid a stormy sea, populated by individuals celebrating Christmas.""The Lighthouse serves as a solitary structure representing hope and guidance amid a stormy sea, populated by individuals celebrating Christmas."', 'source_id': 'chunk-91614df5cb74cbe5e109a338a82041e9'}> +2024-10-30 06:50:10,518 - lightrag - INFO - get_node:query:MATCH (n:`APPLES`) RETURN n:result: +2024-10-30 06:50:10,602 - lightrag - INFO - get_node:query:MATCH (n:`THE FUTURE`) RETURN n:result:"The Future represents the potential outcomes of Scrooge’s life choices, depicted through the visions shown by the Spirits.""The Future refers to the outcomes that Scrooge may face based on his current actions, raising themes of choice and consequence.""The Future refers to the outcomes that Scrooge may face based on his current actions, raising themes of choice and consequence.""The Future refers to the outcomes that Scrooge may face based on his current actions, raising themes of choice and consequence.""The Future refers to the outcomes that Scrooge may face based on his current actions, raising themes of choice and consequence.""The Future refers to the outcomes that Scrooge may face based on his current actions, raising themes of choice and consequence."', 'source_id': 'chunk-91572b3cd42786ba4cb2f180ca25cbf4chunk-02baee20cc9463dbe08170a8e1043e32'}> +2024-10-30 06:50:10,687 - lightrag - INFO - get_node:query:MATCH (n:`COURT`) RETURN n:result: +2024-10-30 06:50:10,775 - lightrag - INFO - get_node:query:MATCH (n:`BOB CRATCHIT`) RETURN n:result:chunk-90b95db5c53e4364a6bee36b7aa4d70fchunk-d9aac3484185ac66045df92214d245d5chunk-19d72c57ae3408758b18d2568e86dc6bchunk-503f0bfa5453467c7c61d160a3540ecachunk-91572b3cd42786ba4cb2f180ca25cbf4chunk-9e3921da66da5d761ab73cd849af6c43chunk-94bea83e7153fc2064aa382b494936a1chunk-83ac129dc9b56f84c46760d153d68e93chunk-7e2e7ebcc19a53b399dc03aded4743e7chunk-1d4b58de5429cd1261370c231c8673e8'}> +2024-10-30 06:50:10,861 - lightrag - INFO - get_node:query:MATCH (n:`RED-FACED GENTLEMAN`) RETURN n:result: +2024-10-30 06:50:10,954 - lightrag - INFO - get_node:query:MATCH (n:`BELINDA CRATCHIT`) RETURN n:result:"Belinda Cratchit is one of Bob Cratchit\'s daughters, assisting her mother in laying the dining cloth.""Belinda is a daughter of Bob and Mrs. Cratchit, representing the Cratchit family\'s love and unity during difficult times.""Belinda Cratchit is one of Bob\'s daughters, assisting in household tasks and showing a strong familial bond.""Belinda is the daughter of Bob and Mrs. Cratchit, representing the innocence and joyful spirit of the Cratchit family.""Belinda Cratchit is one of Bob\'s daughters, assisting in household tasks and showing a strong familial bond.""Belinda is the daughter of Bob and Mrs. Cratchit, representing the innocence and joyful spirit of the Cratchit family.""Belinda Cratchit is one of Bob\'s daughters, assisting in household tasks and showing a strong familial bond.""Belinda is the daughter of Bob and Mrs. Cratchit, representing the innocence and joyful spirit of the Cratchit family.""Belinda Cratchit is one of Bob\'s daughters, assisting in household tasks and showing a strong familial bond.""Belinda is the daughter of Bob and Mrs. Cratchit, representing the innocence and joyful spirit of the Cratchit family.""Belinda Cratchit is one of Bob\'s daughters, assisting in household tasks and showing a strong familial bond.""Belinda is the daughter of Bob and Mrs. Cratchit, representing the innocence and joyful spirit of the Cratchit family."', 'source_id': 'chunk-7e2e7ebcc19a53b399dc03aded4743e7chunk-9e3921da66da5d761ab73cd849af6c43chunk-b0f459f5af1c3a5e0b92cbe4ee48b77b'}> +2024-10-30 06:50:11,042 - lightrag - INFO - get_node:query:MATCH (n:`HOPE`) RETURN n:result:"Hope emerges as a central theme in the characters\' lives, particularly through Caroline\'s reaction to news about the husband and the family\'s future.""Hope emerges as a central theme in the characters\' lives, particularly through Caroline\'s reaction to news about the husband and the family\'s future.""Hope emerges as a central theme in the characters\' lives, particularly through Caroline\'s reaction to news about the husband and the family\'s future.""Hope emerges as a central theme in the characters\' lives, particularly through Caroline\'s reaction to news about the husband and the family\'s future.""Hope represents the aspirations and dreams that characters have, particularly in the context of the matron\'s optimistic nature.""Hope represents the aspirations and dreams that characters have, particularly in the context of the matron\'s optimistic nature.""Hope represents the aspirations and dreams that characters have, particularly in the context of the matron\'s optimistic nature.""Hope represents the aspirations and dreams that characters have, particularly in the context of the matron\'s optimistic nature.""Hope represents the aspirations and dreams that characters have, particularly in the context of the matron\'s optimistic nature."', 'source_id': 'chunk-54bdd22db1f84a965b5f4c06c9216d8dchunk-83ac129dc9b56f84c46760d153d68e93'}> +2024-10-30 06:50:11,130 - lightrag - INFO - get_node:query:MATCH (n:`THE CHURCH`) RETURN n:result:"The Church is a location from where the clock chimes are heard, marking the passage of time and contributing to the atmosphere of the scene.""The Church is a location from where the clock chimes are heard, marking the passage of time and contributing to the atmosphere of the scene.""The Church is a location from where the clock chimes are heard, marking the passage of time and contributing to the atmosphere of the scene.""The Church is a location from where the clock chimes are heard, marking the passage of time and contributing to the atmosphere of the scene.""The Church is a place Scrooge visits, indicating his desire to engage in the Christmas spirit and community.""The Church is a place referenced in the context of the community\'s sentiments toward Christmas and social welfare.""The Church is a place referenced in the context of the community\'s sentiments toward Christmas and social welfare.""The Church is a place referenced in the context of the community\'s sentiments toward Christmas and social welfare.""The Church is a place referenced in the context of the community\'s sentiments toward Christmas and social welfare.""The Church is a place referenced in the context of the community\'s sentiments toward Christmas and social welfare."', 'source_id': 'chunk-cb661c37436355ccec2769b1d0350c5fchunk-8f738cb25d60a7dab782162d9d0a25edchunk-90d5764e301321c087f5a8f78b73a145'}> +2024-10-30 06:50:11,221 - lightrag - INFO - get_node:query:MATCH (n:`THE GOLDEN IDOL`) RETURN n:result: +2024-10-30 06:50:11,308 - lightrag - INFO - get_node:query:MATCH (n:`EBENEZER SCROOGE`) RETURN n:result:chunk-c7b10789a9cb0af6c553730b29bd9034chunk-9e3921da66da5d761ab73cd849af6c43'}> +2024-10-30 06:50:11,394 - lightrag - INFO - get_node:query:MATCH (n:`PETER`) RETURN n:result:"Peter is one of the Cratchit children, who occasionally expresses a sense of duty and future aspirations, contributing to family discussions.""Peter is a son in the Cratchit family, responsible and calm, attempting to engage his siblings amidst a tense family situation and financial uncertainty.""Peter is the son of Bob and Mrs. Cratchit, showing concern and support for his father and siblings.""Peter is a son in the Cratchit family, responsible and calm, attempting to engage his siblings amidst a tense family situation and financial uncertainty.""Peter is the son of Bob and Mrs. Cratchit, showing concern and support for his father and siblings.""Peter is a son in the Cratchit family, responsible and calm, attempting to engage his siblings amidst a tense family situation and financial uncertainty.""Peter is the son of Bob and Mrs. Cratchit, showing concern and support for his father and siblings.""Peter is a son in the Cratchit family, responsible and calm, attempting to engage his siblings amidst a tense family situation and financial uncertainty.""Peter is the son of Bob and Mrs. Cratchit, showing concern and support for his father and siblings.""Peter is a son in the Cratchit family, responsible and calm, attempting to engage his siblings amidst a tense family situation and financial uncertainty.""Peter is the son of Bob and Mrs. Cratchit, showing concern and support for his father and siblings."', 'source_id': 'chunk-83ac129dc9b56f84c46760d153d68e93chunk-1d4b58de5429cd1261370c231c8673e8'}> +2024-10-30 06:50:11,481 - lightrag - INFO - get_node:query:MATCH (n:`PORTLY GENTLEMEN`) RETURN n:result: +2024-10-30 06:50:11,567 - lightrag - INFO - get_node:query:MATCH (n:`THE REGISTER`) RETURN n:result: +2024-10-30 06:50:11,657 - lightrag - INFO - get_node:query:MATCH (n:`MULTITUDES`) RETURN n:result: +2024-10-30 06:50:11,746 - lightrag - INFO - get_node:query:MATCH (n:`GHOST OF CHRISTMAS YET TO COME`) RETURN n:result:"The Ghost of Christmas Yet to Come is a foreboding spirit that shows Scrooge the potential consequences of his actions if he does not change.""The Ghost of Christmas Yet to Come is a foreboding spirit that shows Scrooge the potential consequences of his actions if he does not change.""The Ghost of Christmas Yet to Come is a foreboding spirit that shows Scrooge the potential consequences of his actions if he does not change.""The Ghost of Christmas Yet to Come is a foreboding spirit that shows Scrooge the potential consequences of his actions if he does not change.""The Ghost of Christmas Yet to Come is an apparition that presents Scrooge with a grim vision of his possible future if he doesn\'t change his ways.""The Ghost of Christmas Yet to Come is an event within the story that signifies Scrooge\'s confrontation with the future consequences of his actions.""The Ghost of Christmas Yet to Come signifies a pivotal moment where Scrooge is confronted with the potential futures resulting from his life choices.""The Ghost of Christmas Yet to Come signifies a pivotal moment where Scrooge is confronted with the potential futures resulting from his life choices.""The Ghost of Christmas Yet to Come signifies a pivotal moment where Scrooge is confronted with the potential futures resulting from his life choices.""The Ghost of Christmas Yet to Come signifies a pivotal moment where Scrooge is confronted with the potential futures resulting from his life choices.""The Ghost of Christmas Yet to Come signifies a pivotal moment where Scrooge is confronted with the potential futures resulting from his life choices."', 'source_id': 'chunk-02baee20cc9463dbe08170a8e1043e32chunk-9e3921da66da5d761ab73cd849af6c43'}> +2024-10-30 06:50:11,833 - lightrag - INFO - get_node:query:MATCH (n:`THE YARD`) RETURN n:result: +2024-10-30 06:50:11,921 - lightrag - INFO - get_node:query:MATCH (n:`THE CANDLE`) RETURN n:result:"The Candle is a source of light that Scrooge lights as he enters his home, symbolizing the struggle against darkness and isolation.""The Candle is a source of light that Scrooge lights as he enters his home, symbolizing the struggle against darkness and isolation.""The Candle is a source of light that Scrooge lights as he enters his home, symbolizing the struggle against darkness and isolation.""The Candle is a source of light that Scrooge lights as he enters his home, symbolizing the struggle against darkness and isolation.""The Candle represents a source of light in Scrooge\'s dark life, emphasizing the contrast between warmth and isolation."', 'source_id': 'chunk-d9aac3484185ac66045df92214d245d5chunk-9c43dac2fcd5b578242d907ea6f8fc7b'}> +2024-10-30 06:50:12,010 - lightrag - INFO - get_node:query:MATCH (n:`THE PEOPLE`) RETURN n:result:"The People refer to the townsfolk whom Scrooge encounters, showcasing the communal spirit of Christmas.""The People refer to the townsfolk whom Scrooge encounters, showcasing the communal spirit of Christmas.""The People refer to the townsfolk whom Scrooge encounters, showcasing the communal spirit of Christmas.""The People refer to the townsfolk whom Scrooge encounters, showcasing the communal spirit of Christmas.""The People refers to the inhabitants of the quarter, characterized by their desperate living conditions and societal challenges.""The People represent the townsfolk who come together in celebration during the Christmas season, highlighting communal joy and participation.""The People represent the various individuals Scrooge encounters during his joyful walk, symbolizing community and shared happiness.""The People refers to the inhabitants of the quarter, characterized by their desperate living conditions and societal challenges.""The People represent the townsfolk who come together in celebration during the Christmas season, highlighting communal joy and participation.""The People refers to the inhabitants of the quarter, characterized by their desperate living conditions and societal challenges.""The People represent the townsfolk who come together in celebration during the Christmas season, highlighting communal joy and participation.""The People refers to the inhabitants of the quarter, characterized by their desperate living conditions and societal challenges.""The People represent the townsfolk who come together in celebration during the Christmas season, highlighting communal joy and participation.""The People refers to the inhabitants of the quarter, characterized by their desperate living conditions and societal challenges.""The People represent the townsfolk who come together in celebration during the Christmas season, highlighting communal joy and participation."', 'source_id': 'chunk-f1a4fbcf1ed86864b9bfd5e8dba4c683chunk-8f738cb25d60a7dab782162d9d0a25edchunk-b0f459f5af1c3a5e0b92cbe4ee48b77b'}> +2024-10-30 06:50:12,100 - lightrag - INFO - get_node:query:MATCH (n:`ALI BABA`) RETURN n:result:"Ali Baba is a character from a story recalled by Scrooge, representing memories of adventure and kindness during Christmas.""Ali Baba is a character from a story recalled by Scrooge, representing memories of adventure and kindness during Christmas.""Ali Baba is a character from a story recalled by Scrooge, representing memories of adventure and kindness during Christmas.""Ali Baba is a character from a story recalled by Scrooge, representing memories of adventure and kindness during Christmas.""Ali Baba is mentioned as a character from a story that impacts Scrooge during his reflection on Christmas and childhood."', 'source_id': 'chunk-8590d9263cd2cd4fa583c432fc54e6c3'}> +2024-10-30 06:50:12,191 - lightrag - INFO - get_node:query:MATCH (n:`THE CRATCHIT FAMILY`) RETURN n:result:"The Cratchit Family consists of Bob, Mrs. Cratchit, Tiny Tim, and their children, characterized by their strong familial bonds and love for one another despite financial struggles.""The Cratchit Family consists of Bob, Mrs. Cratchit, Tiny Tim, and their children, characterized by their strong familial bonds and love for one another despite financial struggles.""The Cratchit Family consists of Bob, Mrs. Cratchit, Tiny Tim, and their children, characterized by their strong familial bonds and love for one another despite financial struggles.""The Cratchit Family consists of Bob, Mrs. Cratchit, Tiny Tim, and their children, characterized by their strong familial bonds and love for one another despite financial struggles.""The Cratchit Family consists of Bob, Mrs. Cratchit, and their children, highlighting themes of familial love and support amidst hardship.""The Cratchit Family is a close-knit family depicted in the text, characterized by love and warmth, celebrating Christmas together despite their difficulties.""The Cratchit Family represents a typical struggling family in the text, highlighting the theme of social disparity during Christmas.""The Cratchit Family is a close-knit family depicted in the text, characterized by love and warmth, celebrating Christmas together despite their difficulties.""The Cratchit Family represents a typical struggling family in the text, highlighting the theme of social disparity during Christmas.""The Cratchit Family is a close-knit family depicted in the text, characterized by love and warmth, celebrating Christmas together despite their difficulties.""The Cratchit Family represents a typical struggling family in the text, highlighting the theme of social disparity during Christmas.""The Cratchit Family is a close-knit family depicted in the text, characterized by love and warmth, celebrating Christmas together despite their difficulties.""The Cratchit Family represents a typical struggling family in the text, highlighting the theme of social disparity during Christmas.""The Cratchit Family is a close-knit family depicted in the text, characterized by love and warmth, celebrating Christmas together despite their difficulties.""The Cratchit Family represents a typical struggling family in the text, highlighting the theme of social disparity during Christmas."', 'source_id': 'chunk-503f0bfa5453467c7c61d160a3540ecachunk-90d5764e301321c087f5a8f78b73a145chunk-1d4b58de5429cd1261370c231c8673e8'}> +2024-10-30 06:50:12,279 - lightrag - INFO - get_node:query:MATCH (n:`THE BUSINESSMEN`) RETURN n:result: +2024-10-30 06:50:12,370 - lightrag - INFO - get_node:query:MATCH (n:`THE MANSION HOUSE`) RETURN n:result:"The Mansion House is the official residence of the Lord Mayor, where festive preparations for Christmas are being made.""The Mansion House is the official residence of the Lord Mayor, where festive preparations for Christmas are being made.""The Mansion House is the official residence of the Lord Mayor, where festive preparations for Christmas are being made.""The Mansion House is the official residence of the Lord Mayor, where festive preparations for Christmas are being made.""The Mansion House is the official residence of the Lord Mayor, where festive preparations for Christmas are being made."', 'source_id': 'chunk-90d5764e301321c087f5a8f78b73a145'}> +2024-10-30 06:50:12,458 - lightrag - INFO - get_node:query:MATCH (n:`THE OBSCURE PART OF TOWN`) RETURN n:result: +2024-10-30 06:50:12,547 - lightrag - INFO - get_node:query:MATCH (n:`SCROOGE'S NEPHEW`) RETURN n:result:"Scrooge\'s Nephew is a jovial character known for his infectious laughter and optimistic attitude towards Christmas, finding humor in Scrooge\'s ill temper and wealth.""Scrooge\'s Nephew is portrayed as warm-hearted and attempts to engage his uncle in the spirit of Christmas, despite Scrooge\'s rebuff.""Scrooge\'s nephew is portrayed as a joyful character who embodies laughter and good-humor, contrasting with Scrooge\'s initial persona."Scrooge\'s Nephew is a cheerful and optimistic character who embodies the spirit of Christmas, consistently challenging his uncle Scrooge\'s gloomy outlook on both Christmas and life. He is characterized by his contagious laughter and good humor, starkly contrasting with Scrooge\'s miserliness and pessimism. This jovial character actively participates in family gatherings, engaging in games and displaying a joyful demeanor. He finds humor in Scrooge\'s ill temper and wealth, often emphasizing the positive qualities of Christmas despite his uncle\'s negativity. Warm-hearted and determined, Scrooge\'s Nephew makes repeated attempts to involve Scrooge in the festive spirit, even in the face of his uncle\'s rebuffs. Overall, he represents a vibrant spirit of joy and laughter, serving as a lively counterpoint to Scrooge\'s initial persona.', 'source_id': 'chunk-43c9bee23adfa77aa9dedd22401bba7dchunk-5dac41b3f9eeaf794f0147400b1718cdchunk-74e2466de2f67fd710ef2f20c0a8d9e0chunk-91614df5cb74cbe5e109a338a82041e9chunk-773d0df1dd25c356f7b771d780583e09'}> +2024-10-30 06:50:12,635 - lightrag - INFO - get_node:query:MATCH (n:`MANKIND`) RETURN n:result:"Mankind is referenced as a significant concern that should have been the focus of Scrooge\'s life, highlighting the importance of universal compassion and care.""Mankind is referenced as a significant concern that should have been the focus of Scrooge\'s life, highlighting the importance of universal compassion and care.""Mankind is referenced as a significant concern that should have been the focus of Scrooge\'s life, highlighting the importance of universal compassion and care.""Mankind is referenced as a significant concern that should have been the focus of Scrooge\'s life, highlighting the importance of universal compassion and care.""Mankind signifies the broader human community, which Marley claims should be the focus of compassionate effort rather than mere business pursuits."', 'source_id': 'chunk-359187e7571bda4b0b08b2e0b6581e52'}> +2024-10-30 06:50:12,722 - lightrag - INFO - get_node:query:MATCH (n:`THE SITTING ROOM`) RETURN n:result: +2024-10-30 06:50:12,808 - lightrag - INFO - get_node:query:MATCH (n:`THE FAMILY`) RETURN n:result: +2024-10-30 06:50:12,897 - lightrag - INFO - get_node:query:MATCH (n:`THE WAREHOUSE`) RETURN n:result:"The Warehouse is the setting for Fezziwig\'s celebrations, transformed into a ballroom for the festivities.""The Warehouse is the place of business shared by Scrooge and Marley, a symbol of their partnership in life and business.""The Warehouse serves as the setting for Scrooge\'s memories of Fezziwig\'s jovial nature and the lively gatherings during his apprenticeship.""The Warehouse is the place of business shared by Scrooge and Marley, a symbol of their partnership in life and business.""The Warehouse serves as the setting for Scrooge\'s memories of Fezziwig\'s jovial nature and the lively gatherings during his apprenticeship.""The Warehouse is the place of business shared by Scrooge and Marley, a symbol of their partnership in life and business.""The Warehouse serves as the setting for Scrooge\'s memories of Fezziwig\'s jovial nature and the lively gatherings during his apprenticeship.""The Warehouse is the place of business shared by Scrooge and Marley, a symbol of their partnership in life and business.""The Warehouse serves as the setting for Scrooge\'s memories of Fezziwig\'s jovial nature and the lively gatherings during his apprenticeship.""The Warehouse is the place of business shared by Scrooge and Marley, a symbol of their partnership in life and business.""The Warehouse serves as the setting for Scrooge\'s memories of Fezziwig\'s jovial nature and the lively gatherings during his apprenticeship."', 'source_id': 'chunk-c6c248858d1b13ab7ee9ca13c1aeed6bchunk-8bc1edd983869352d14cf0886a9175a7chunk-89777b838d5447c7bd1ec11282c4ee89'}> +2024-10-30 06:50:12,986 - lightrag - INFO - get_node:query:MATCH (n:`THE MOURNING DRESS`) RETURN n:result: +2024-10-30 06:50:13,072 - lightrag - INFO - get_node:query:MATCH (n:`CHESTNUTS`) RETURN n:result: +2024-10-30 06:50:13,160 - lightrag - INFO - get_node:query:MATCH (n:`THE BOY`) RETURN n:result:"The Boy is a young messenger who interacts with Scrooge during his purchase of the turkey.""The Boy represents innocence and curiosity, serving as a catalyst for Scrooge\'s generous act by purchasing the turkey.""The Boy represents innocence and curiosity, serving as a catalyst for Scrooge\'s generous act by purchasing the turkey.""The Boy represents innocence and curiosity, serving as a catalyst for Scrooge\'s generous act by purchasing the turkey.""The Boy represents innocence and curiosity, serving as a catalyst for Scrooge\'s generous act by purchasing the turkey.""The Boy represents innocence and curiosity, serving as a catalyst for Scrooge\'s generous act by purchasing the turkey."', 'source_id': 'chunk-8f738cb25d60a7dab782162d9d0a25edchunk-8bc1edd983869352d14cf0886a9175a7chunk-90b95db5c53e4364a6bee36b7aa4d70f'}> +2024-10-30 06:50:13,248 - lightrag - INFO - get_node:query:MATCH (n:`THE CORPSE`) RETURN n:result: +2024-10-30 06:50:13,337 - lightrag - INFO - get_node:query:MATCH (n:`GHOST`) RETURN n:result:"The Ghost refers to the spirit guiding Scrooge, embodying the themes of memory and reflection on the joys of Christmas.""The Ghost represents a spiritual guide that takes Scrooge on a journey to learn important lessons about compassion and humanity.""The Ghost serves as a supernatural guide for Scrooge, prompting him to reflect on his life and choices.""The Ghost is the spirit of Jacob Marley, who expresses remorse for his life and warns Scrooge about the consequences of ignoring his moral duties.""The Ghost is the spirit of Jacob Marley, who expresses remorse for his life and warns Scrooge about the consequences of ignoring his moral duties.""The Ghost is the spirit of Jacob Marley, who expresses remorse for his life and warns Scrooge about the consequences of ignoring his moral duties.""The Ghost is the spirit of Jacob Marley, who expresses remorse for his life and warns Scrooge about the consequences of ignoring his moral duties.""The Ghost is the spirit of Jacob Marley, who expresses remorse for his life and warns Scrooge about the consequences of ignoring his moral duties."', 'source_id': 'chunk-43c9bee23adfa77aa9dedd22401bba7dchunk-e7637ff18c5ded77a68cce0a87883fadchunk-359187e7571bda4b0b08b2e0b6581e52chunk-c6c248858d1b13ab7ee9ca13c1aeed6bchunk-503f0bfa5453467c7c61d160a3540eca'}> +2024-10-30 06:50:13,423 - lightrag - INFO - get_node:query:MATCH (n:`THE BEAUTIFUL YOUNG GIRL`) RETURN n:result: +2024-10-30 06:50:13,511 - lightrag - INFO - get_node:query:MATCH (n:`THE DAUGHTER`) RETURN n:result: +2024-10-30 06:50:13,600 - lightrag - INFO - get_node:query:MATCH (n:`THE DARKNESS`) RETURN n:result:"The Darkness symbolizes the confusion and the unknown that envelops Scrooge as he faces the reality of his past, present, and future.""The Darkness symbolizes the confusion and the unknown that envelops Scrooge as he faces the reality of his past, present, and future.""The Darkness symbolizes the confusion and the unknown that envelops Scrooge as he faces the reality of his past, present, and future.""The Darkness symbolizes the confusion and the unknown that envelops Scrooge as he faces the reality of his past, present, and future.""The Darkness symbolizes the confusion and the unknown that envelops Scrooge as he faces the reality of his past, present, and future."', 'source_id': 'chunk-cb661c37436355ccec2769b1d0350c5f'}> +2024-10-30 06:50:13,686 - lightrag - INFO - get_node:query:MATCH (n:`ROBIN CRUSOE`) RETURN n:result:"Robin Crusoe is a character from literature that Scrooge remembers fondly, illustrating his connection to stories of adventure and survival.""Robin Crusoe is a character from literature that Scrooge remembers fondly, illustrating his connection to stories of adventure and survival.""Robin Crusoe is a character from literature that Scrooge remembers fondly, illustrating his connection to stories of adventure and survival.""Robin Crusoe is a character from literature that Scrooge remembers fondly, illustrating his connection to stories of adventure and survival.""Robin Crusoe is a character referenced by Scrooge as part of his memories, signifying tales of adventure and nostalgia."', 'source_id': 'chunk-8590d9263cd2cd4fa583c432fc54e6c3'}> +2024-10-30 06:50:13,773 - lightrag - INFO - get_node:query:MATCH (n:`SPANISH ONIONS`) RETURN n:result: +2024-10-30 06:50:13,870 - lightrag - INFO - get_node:query:MATCH (n:`POOR AND DESTITUTE`) RETURN n:result: +2024-10-30 06:50:13,958 - lightrag - INFO - get_node:query:MATCH (n:`CHRISTMAS HOLIDAYS`) RETURN n:result:"Christmas Holidays signify a time for celebration, reflection, and reconciliation, playing a critical role in Scrooge\'s transformation.""Christmas Holidays signify a time for celebration, reflection, and reconciliation, playing a critical role in Scrooge\'s transformation.""Christmas Holidays signify a time for celebration, reflection, and reconciliation, playing a critical role in Scrooge\'s transformation.""Christmas Holidays signify a time for celebration, reflection, and reconciliation, playing a critical role in Scrooge\'s transformation.""The Christmas Holidays serve as a crucial backdrop for the narrative, representing themes of generosity, family, and redemption."', 'source_id': 'chunk-e7637ff18c5ded77a68cce0a87883fad'}> +2024-10-30 06:50:14,043 - lightrag - INFO - get_node:query:MATCH (n:`CHRISTMAS PUDDING`) RETURN n:result:"Christmas Pudding is a dish being prepared for the festive celebration, embodying the spirit of Christmas and family gatherings.""Christmas Pudding is a dish being prepared for the festive celebration, embodying the spirit of Christmas and family gatherings.""Christmas Pudding is a dish being prepared for the festive celebration, embodying the spirit of Christmas and family gatherings.""Christmas Pudding is a dish being prepared for the festive celebration, embodying the spirit of Christmas and family gatherings.""The Christmas Pudding is a significant dish prepared by Mrs. Cratchit, symbolizing the family\'s festive celebration and unity."', 'source_id': 'chunk-503f0bfa5453467c7c61d160a3540ecachunk-90d5764e301321c087f5a8f78b73a145'}> +2024-10-30 06:50:14,134 - lightrag - INFO - get_node:query:MATCH (n:`HOSPITAL`) RETURN n:result:"Hospital signifies a place of healing and care, visited by the Spirit in the story.""Hospital signifies a place of healing and care, visited by the Spirit in the story.""Hospital signifies a place of healing and care, visited by the Spirit in the story.""Hospital signifies a place of healing and care, visited by the Spirit in the story.""The Hospital represents a location of care and compassion, highlighting the human condition and the need for kindness."', 'source_id': 'chunk-e7637ff18c5ded77a68cce0a87883fad'}> +2024-10-30 06:50:14,224 - lightrag - INFO - get_node:query:MATCH (n:`MASTER PETER`) RETURN n:result: +2024-10-30 06:50:14,313 - lightrag - INFO - get_node:query:MATCH (n:`THE BED`) RETURN n:result:"The Bed represents a significant scene where the deceased man\'s body is laid, evoking deep emotions and realizations about life and morality.""The Bed represents a significant scene where the deceased man\'s body is laid, evoking deep emotions and realizations about life and morality.""The Bed represents a significant scene where the deceased man\'s body is laid, evoking deep emotions and realizations about life and morality.""The Bed represents a significant scene where the deceased man\'s body is laid, evoking deep emotions and realizations about life and morality.""The Bed represents a significant scene where the deceased man\'s body is laid, evoking deep emotions and realizations about life and morality."', 'source_id': 'chunk-e1f29eeadc1d8ab46dc8a0bbd3c56b64'}> +2024-10-30 06:50:14,398 - lightrag - INFO - get_node:query:MATCH (n:`CAMDEN TOWN`) RETURN n:result:"Camden Town is a location mentioned as Bob Cratchit\'s home, highlighting the setting of his personal life.""Camden Town is a location mentioned as Bob Cratchit\'s home, highlighting the setting of his personal life.""Camden Town is a location mentioned as Bob Cratchit\'s home, highlighting the setting of his personal life.""Camden Town is a location mentioned as Bob Cratchit\'s home, highlighting the setting of his personal life.""Camden Town is a location mentioned in relation to the logistics of transporting a large turkey.""Camden Town is a location where Bob Cratchit runs home to celebrate Christmas Eve, representing a more joyful and lively setting.""Camden Town is mentioned as a location related to the transportation of a turkey in a humorous context during the holiday season.""Camden Town is mentioned as a location related to the transportation of a turkey in a humorous context during the holiday season.""Camden Town is mentioned as a location related to the transportation of a turkey in a humorous context during the holiday season.""Camden Town is mentioned as a location related to the transportation of a turkey in a humorous context during the holiday season.""Camden Town is mentioned as a location related to the transportation of a turkey in a humorous context during the holiday season."', 'source_id': 'chunk-d9aac3484185ac66045df92214d245d5chunk-8f738cb25d60a7dab782162d9d0a25ed'}> +2024-10-30 06:50:14,488 - lightrag - INFO - get_node:query:MATCH (n:`ALMSHOUSE`) RETURN n:result: +2024-10-30 06:50:14,579 - lightrag - INFO - get_node:query:MATCH (n:`DEATH`) RETURN n:result:"Death is described as a powerful force in the narrative, represented through the imagery of a cold, rigid presence and the contemplation of mortality.""Death refers to the passing of a character that triggers a range of emotions and reflections among the living, influencing their lives and relationships.""Death is depicted as a cold, inevitable force, prompting reflections on the value of life and the consequences of avarice.""Death is depicted as a cold, inevitable force, prompting reflections on the value of life and the consequences of avarice.""Death is depicted as a cold, inevitable force, prompting reflections on the value of life and the consequences of avarice.""Death is depicted as a cold, inevitable force, prompting reflections on the value of life and the consequences of avarice.""Death is depicted as a cold, inevitable force, prompting reflections on the value of life and the consequences of avarice."', 'source_id': 'chunk-e1f29eeadc1d8ab46dc8a0bbd3c56b64chunk-83ac129dc9b56f84c46760d153d68e93chunk-02baee20cc9463dbe08170a8e1043e32'}> +2024-10-30 06:50:14,667 - lightrag - INFO - get_node:query:MATCH (n:`THE GRAVE`) RETURN n:result: +2024-10-30 06:50:14,759 - lightrag - INFO - get_node:query:MATCH (n:`LONDON`) RETURN n:result:"London is the city where the narrative takes place, representing a central location in the story.""London is the city where the narrative takes place, representing a central location in the story.""London is the city where the narrative takes place, representing a central location in the story.""London is the city where the narrative takes place, representing a central location in the story.""London serves as the general setting for the story, although its specific mention relates to an animal in the context of a game.""London serves as the geographical setting for the story, encapsulating the harsh winter atmosphere and the life of its inhabitants during the festive season.""London serves as the setting where the events take place, adding a cultural backdrop to the Christmas gathering.""London serves as the setting for the story, highlighting the bustling yet isolating environment in which Scrooge lives.""London serves as the general setting for the story, although its specific mention relates to an animal in the context of a game.""London serves as the setting for the story, highlighting the bustling yet isolating environment in which Scrooge lives.""London serves as the general setting for the story, although its specific mention relates to an animal in the context of a game.""London serves as the setting for the story, highlighting the bustling yet isolating environment in which Scrooge lives.""London serves as the general setting for the story, although its specific mention relates to an animal in the context of a game.""London serves as the setting for the story, highlighting the bustling yet isolating environment in which Scrooge lives.""London serves as the general setting for the story, although its specific mention relates to an animal in the context of a game.""London serves as the setting for the story, highlighting the bustling yet isolating environment in which Scrooge lives."', 'source_id': 'chunk-d9aac3484185ac66045df92214d245d5chunk-43c9bee23adfa77aa9dedd22401bba7dchunk-e7637ff18c5ded77a68cce0a87883fad'}> +2024-10-30 06:50:14,846 - lightrag - INFO - get_node:query:MATCH (n:`CRATCHIT CHRISTMAS DINNER`) RETURN n:result: +2024-10-30 06:50:14,935 - lightrag - INFO - get_node:query:MATCH (n:`THE GATHERING`) RETURN n:result: +2024-10-30 06:50:15,026 - lightrag - INFO - get_node:query:MATCH (n:`MARTHA CRATCHIT`) RETURN n:result:"Martha is another daughter of Bob and Mrs. Cratchit, who, like her sister Belinda, symbolizes the warmth and togetherness in the Cratchit household.""Martha Cratchit is a daughter of Bob and Mrs. Cratchit, working as an apprentice at a milliner\'s and looking forward to the holiday for a good rest.""Martha is another daughter of Bob and Mrs. Cratchit, who shows love and care for her family.""Martha Cratchit is a daughter of Bob and Mrs. Cratchit, working as an apprentice at a milliner\'s and looking forward to the holiday for a good rest.""Martha is another daughter of Bob and Mrs. Cratchit, who shows love and care for her family.""Martha Cratchit is a daughter of Bob and Mrs. Cratchit, working as an apprentice at a milliner\'s and looking forward to the holiday for a good rest.""Martha is another daughter of Bob and Mrs. Cratchit, who shows love and care for her family.""Martha Cratchit is a daughter of Bob and Mrs. Cratchit, working as an apprentice at a milliner\'s and looking forward to the holiday for a good rest.""Martha is another daughter of Bob and Mrs. Cratchit, who shows love and care for her family.""Martha Cratchit is a daughter of Bob and Mrs. Cratchit, working as an apprentice at a milliner\'s and looking forward to the holiday for a good rest.""Martha is another daughter of Bob and Mrs. Cratchit, who shows love and care for her family."', 'source_id': 'chunk-19d72c57ae3408758b18d2568e86dc6bchunk-7e2e7ebcc19a53b399dc03aded4743e7chunk-9e3921da66da5d761ab73cd849af6c43'}> +2024-10-30 06:50:15,113 - lightrag - INFO - get_node:query:MATCH (n:`THE COUNTING-HOUSE CLERK`) RETURN n:result: +2024-10-30 06:50:15,200 - lightrag - INFO - get_node:query:MATCH (n:`GEESE`) RETURN n:result:"Geese are also traditional food items that may be included in Christmas feasts, adding to the holiday cheer.""Geese are also traditional food items that may be included in Christmas feasts, adding to the holiday cheer.""Geese are also traditional food items that may be included in Christmas feasts, adding to the holiday cheer.""Geese are also traditional food items that may be included in Christmas feasts, adding to the holiday cheer.""Geese are another traditional food item during Christmas, contributing to the festive dining experiences.""Geese are included in the festive feast, representing the bounty and celebration associated with Christmas."', 'source_id': 'chunk-99b0ec7f7e006561352b5d65e849611dchunk-843b5b2f944c7413d9ca876e2e2f151f'}> +2024-10-30 06:50:15,291 - lightrag - INFO - get_node:query:MATCH (n:`ORSON`) RETURN n:result:"Orson, the wild brother of Valentine, is another figure from Scrooge\'s past, representing familial connections and memories.""Orson, the wild brother of Valentine, is another figure from Scrooge\'s past, representing familial connections and memories.""Orson, the wild brother of Valentine, is another figure from Scrooge\'s past, representing familial connections and memories.""Orson, the wild brother of Valentine, is another figure from Scrooge\'s past, representing familial connections and memories.""Orson, the wild brother of Valentine, is another figure from Scrooge\'s past, representing familial connections and memories."', 'source_id': 'chunk-8590d9263cd2cd4fa583c432fc54e6c3'}> +2024-10-30 06:50:15,378 - lightrag - INFO - get_node:query:MATCH (n:`THE GENTLEMAN`) RETURN n:result:"The Gentleman is a character attempting to persuade Scrooge to contribute to charity for the poor during Christmas.""The Gentleman is a character attempting to persuade Scrooge to contribute to charity for the poor during Christmas.""The Gentleman is a character attempting to persuade Scrooge to contribute to charity for the poor during Christmas.""The Gentleman is a character attempting to persuade Scrooge to contribute to charity for the poor during Christmas.""The Gentleman is a character who advocates for helping the poor and trying to raise a fund for those in need during Christmas."', 'source_id': 'chunk-90d5764e301321c087f5a8f78b73a145'}> +2024-10-30 06:50:15,466 - lightrag - INFO - get_node:query:MATCH (n:`THE DYING FLAME`) RETURN n:result:"The Dying Flame represents the fear and uncertainty in Scrooge as it reacts to the presence of Marley’s Ghost, adding to the eerie atmosphere.""The Dying Flame represents the fear and uncertainty in Scrooge as it reacts to the presence of Marley’s Ghost, adding to the eerie atmosphere.""The Dying Flame represents the fear and uncertainty in Scrooge as it reacts to the presence of Marley’s Ghost, adding to the eerie atmosphere.""The Dying Flame represents the fear and uncertainty in Scrooge as it reacts to the presence of Marley’s Ghost, adding to the eerie atmosphere.""The Dying Flame signifies the waning spirit of Scrooge, momentarily invigorated by the arrival of the ghost as a metaphor for his fading humanity.""The Dying Flame signifies the waning spirit of Scrooge, momentarily invigorated by the arrival of the ghost as a metaphor for his fading humanity.""The Dying Flame signifies the waning spirit of Scrooge, momentarily invigorated by the arrival of the ghost as a metaphor for his fading humanity.""The Dying Flame signifies the waning spirit of Scrooge, momentarily invigorated by the arrival of the ghost as a metaphor for his fading humanity.""The Dying Flame signifies the waning spirit of Scrooge, momentarily invigorated by the arrival of the ghost as a metaphor for his fading humanity."', 'source_id': 'chunk-9c43dac2fcd5b578242d907ea6f8fc7bchunk-1aa50206d02ed89418f65f97c6441d1c'}> +2024-10-30 06:50:15,553 - lightrag - INFO - get_node:query:MATCH (n:`THE DINNER`) RETURN n:result:"The Dinner is a festive event where the Cratchit family gathers to enjoy a meal, including a special goose and pudding, symbolizing their togetherness.""The Dinner is a festive event where the Cratchit family gathers to enjoy a meal, including a special goose and pudding, symbolizing their togetherness.""The Dinner is a festive event where the Cratchit family gathers to enjoy a meal, including a special goose and pudding, symbolizing their togetherness.""The Dinner is a festive event where the Cratchit family gathers to enjoy a meal, including a special goose and pudding, symbolizing their togetherness.""The Dinner is a social event characterized by laughter, music, and discussions about Scrooge, portraying a festive Christmas gathering."', 'source_id': 'chunk-503f0bfa5453467c7c61d160a3540ecachunk-773d0df1dd25c356f7b771d780583e09'}> +2024-10-30 06:50:15,642 - lightrag - INFO - get_node:query:MATCH (n:`THE FUNERAL`) RETURN n:result:"The Funeral is a context for conversation among characters, reflecting on mortality and social connections surrounding death.""The Funeral is a context for conversation among characters, reflecting on mortality and social connections surrounding death.""The Funeral is a context for conversation among characters, reflecting on mortality and social connections surrounding death.""The Funeral is a context for conversation among characters, reflecting on mortality and social connections surrounding death.""The Funeral of Marley is a significant event that highlights Scrooge\'s relationship with Marley and sets the tone for their partnership and Scrooge\'s eventual path.""The Funeral serves as a significant event reflecting on Marley\'s death, noted for its business-like atmosphere as perceived by Scrooge.""The Funeral of Marley is a significant event that highlights Scrooge\'s relationship with Marley and sets the tone for their partnership and Scrooge\'s eventual path.""The Funeral of Marley is a significant event that highlights Scrooge\'s relationship with Marley and sets the tone for their partnership and Scrooge\'s eventual path.""The Funeral of Marley is a significant event that highlights Scrooge\'s relationship with Marley and sets the tone for their partnership and Scrooge\'s eventual path.""The Funeral of Marley is a significant event that highlights Scrooge\'s relationship with Marley and sets the tone for their partnership and Scrooge\'s eventual path."', 'source_id': 'chunk-f1a4fbcf1ed86864b9bfd5e8dba4c683chunk-89777b838d5447c7bd1ec11282c4ee89'}> +2024-10-30 06:50:15,729 - lightrag - INFO - get_node:query:MATCH (n:`THE BLANKETS`) RETURN n:result:"The Blankets are associated with the deceased man\'s body, symbolizing care and the human connection to the dead.""The Blankets are associated with the deceased man\'s body, symbolizing care and the human connection to the dead.""The Blankets are associated with the deceased man\'s body, symbolizing care and the human connection to the dead.""The Blankets are associated with the deceased man\'s body, symbolizing care and the human connection to the dead.""The Blankets are discussed in the context of the deceased\'s possessions, highlighting themes of care and abandonment after death."', 'source_id': 'chunk-e1f29eeadc1d8ab46dc8a0bbd3c56b64'}> +2024-10-30 06:50:15,815 - lightrag - INFO - get_node:query:MATCH (n:`THE GHOST OF CHRISTMAS YET TO COME`) RETURN n:result:"The Ghost of Christmas Yet to Come is a spirit that shows Scrooge the consequences of his actions, pointing toward his eventual demise.""The Ghost of Christmas Yet to Come reveals the potential consequences of Scrooge\'s current life choices, emphasizing themes of mortality and legacy.""The Ghost of Christmas Yet to Come is a spirit that shows Scrooge the consequences of his actions, pointing toward his eventual demise.""The Ghost of Christmas Yet to Come reveals the potential consequences of Scrooge\'s current life choices, emphasizing themes of mortality and legacy.""The Ghost of Christmas Yet to Come is a spirit that shows Scrooge the consequences of his actions, pointing toward his eventual demise.""The Ghost of Christmas Yet to Come reveals the potential consequences of Scrooge\'s current life choices, emphasizing themes of mortality and legacy.""The Ghost of Christmas Yet to Come is a spirit that shows Scrooge the consequences of his actions, pointing toward his eventual demise.""The Ghost of Christmas Yet to Come reveals the potential consequences of Scrooge\'s current life choices, emphasizing themes of mortality and legacy.""The Ghost of Christmas Yet to Come is a spirit that shows Scrooge the consequences of his actions, pointing toward his eventual demise.""The Ghost of Christmas Yet to Come reveals the potential consequences of Scrooge\'s current life choices, emphasizing themes of mortality and legacy."', 'source_id': 'chunk-91572b3cd42786ba4cb2f180ca25cbf4chunk-90b95db5c53e4364a6bee36b7aa4d70f'}> +2024-10-30 06:50:15,905 - lightrag - INFO - get_node:query:MATCH (n:`MARLEY'S GHOST`) RETURN n:result:chunk-9c43dac2fcd5b578242d907ea6f8fc7bchunk-cb661c37436355ccec2769b1d0350c5fchunk-1aa50206d02ed89418f65f97c6441d1c'}> +2024-10-30 06:50:15,991 - lightrag - INFO - get_node:query:MATCH (n:`THE DECEASED`) RETURN n:result: +2024-10-30 06:50:16,078 - lightrag - INFO - get_node:query:MATCH (n:`THE FIRE`) RETURN n:result:"The Fire represents warmth and comfort in the Cratchit household, inviting family members to gather around during their Christmas celebration.""The Fire represents warmth and comfort in the Cratchit household, inviting family members to gather around during their Christmas celebration.""The Fire represents warmth and comfort in the Cratchit household, inviting family members to gather around during their Christmas celebration.""The Fire represents warmth and comfort in the Cratchit household, inviting family members to gather around during their Christmas celebration.""The Fire represents warmth and comfort in the Cratchit household, inviting family members to gather around during their Christmas celebration."', 'source_id': 'chunk-773d0df1dd25c356f7b771d780583e09chunk-7e2e7ebcc19a53b399dc03aded4743e7'}> +2024-10-30 06:50:16,170 - lightrag - INFO - get_node:query:MATCH (n:`MISTLETOE`) RETURN n:result:"Mistletoe is a plant used as a Christmas decoration, symbolizing love and goodwill during the holiday season.""Mistletoe is a plant used as a Christmas decoration, symbolizing love and goodwill during the holiday season.""Mistletoe is a plant used as a Christmas decoration, symbolizing love and goodwill during the holiday season.""Mistletoe is a plant used as a Christmas decoration, symbolizing love and goodwill during the holiday season.""Mistletoe is a traditional plant used for decoration during Christmas, symbolizing joy and a festive spirit.""Mistletoe is described in the context of Christmas decorations, often used for kissing and holiday celebrations.""Mistletoe is described in the context of Christmas decorations, often used for kissing and holiday celebrations.""Mistletoe is described in the context of Christmas decorations, often used for kissing and holiday celebrations.""Mistletoe is described in the context of Christmas decorations, often used for kissing and holiday celebrations.""Mistletoe is described in the context of Christmas decorations, often used for kissing and holiday celebrations."', 'source_id': 'chunk-99b0ec7f7e006561352b5d65e849611dchunk-843b5b2f944c7413d9ca876e2e2f151f'}> +2024-10-30 06:50:16,258 - lightrag - INFO - get_node:query:MATCH (n:`THE SPIRIT`) RETURN n:result:chunk-b0f459f5af1c3a5e0b92cbe4ee48b77bchunk-da2472b4ef2a535b62908f14d0fb0ca9chunk-e1f29eeadc1d8ab46dc8a0bbd3c56b64chunk-19d72c57ae3408758b18d2568e86dc6bchunk-503f0bfa5453467c7c61d160a3540ecachunk-91614df5cb74cbe5e109a338a82041e9chunk-91572b3cd42786ba4cb2f180ca25cbf4chunk-f1a4fbcf1ed86864b9bfd5e8dba4c683chunk-8590d9263cd2cd4fa583c432fc54e6c3chunk-b2f98bc7abb0c67d4c86055c7fd72218chunk-bb21d58d36c6306fd8810ddd51c4a971'}> +2024-10-30 06:50:16,352 - lightrag - INFO - get_node:query:MATCH (n:`THE PRIME OF LIFE`) RETURN n:result: +2024-10-30 06:50:16,440 - lightrag - INFO - get_node:query:MATCH (n:`OLD SCRATCH`) RETURN n:result:"Old Scratch is a colloquial term used in reference to the devil, indicating a grim context in discussions about death.""Old Scratch is a colloquial term used in reference to the devil, indicating a grim context in discussions about death.""Old Scratch is a colloquial term used in reference to the devil, indicating a grim context in discussions about death.""Old Scratch is a colloquial term used in reference to the devil, indicating a grim context in discussions about death.""Old Scratch is mentioned as a figure related to the conversation, symbolizing mischief and humor."', 'source_id': 'chunk-f1a4fbcf1ed86864b9bfd5e8dba4c683chunk-89777b838d5447c7bd1ec11282c4ee89'}> +2024-10-30 06:50:16,525 - lightrag - INFO - get_node:query:MATCH (n:`WINDING RIVER`) RETURN n:result: +2024-10-30 06:50:16,613 - lightrag - INFO - get_node:query:MATCH (n:`MR. MARLEY`) RETURN n:result: +2024-10-30 06:50:16,697 - lightrag - INFO - get_node:query:MATCH (n:`MR. SCROOGE'S NEPHEW`) RETURN n:result:"Mr. Scrooge\'s Nephew is a kind gentleman who expresses sympathy for Bob Cratchit and offers help, reflecting goodwill.""Mr. Scrooge\'s Nephew is a kind gentleman who expresses sympathy for Bob Cratchit and offers help, reflecting goodwill.""Mr. Scrooge\'s Nephew is a kind gentleman who expresses sympathy for Bob Cratchit and offers help, reflecting goodwill.""Mr. Scrooge\'s Nephew is a kind gentleman who expresses sympathy for Bob Cratchit and offers help, reflecting goodwill.""Mr. Scrooge\'s Nephew is a kind gentleman who shows concern for Bob Cratchit and offers support, symbolizing generosity and compassion."', 'source_id': 'chunk-1d4b58de5429cd1261370c231c8673e8'}> +2024-10-30 06:50:16,784 - lightrag - INFO - get_node:query:MATCH (n:`THE YOUNG CRATCHITS`) RETURN n:result: +2024-10-30 06:50:16,872 - lightrag - INFO - get_node:query:MATCH (n:`MARLEY'S FUNERAL`) RETURN n:result: +2024-10-30 06:50:16,960 - lightrag - INFO - get_node:query:MATCH (n:`THE SPIRITS`) RETURN n:result:"The Spirits represent the past, present, and future in Scrooge\'s life, guiding him toward redemption and self-reflection.""The Spirits represent the forces that guide Scrooge towards his transformation and are instrumental in his journey of redemption.""The Spirits represent the forces that guide Scrooge towards his transformation and are instrumental in his journey of redemption.""The Spirits represent the forces that guide Scrooge towards his transformation and are instrumental in his journey of redemption.""The Spirits represent the forces that guide Scrooge towards his transformation and are instrumental in his journey of redemption.""The Spirits represent the forces that guide Scrooge towards his transformation and are instrumental in his journey of redemption."', 'source_id': 'chunk-cb661c37436355ccec2769b1d0350c5fchunk-90b95db5c53e4364a6bee36b7aa4d70f'}> +2024-10-30 06:50:17,050 - lightrag - INFO - get_node:query:MATCH (n:`THE CASK`) RETURN n:result:"The Cask is part of the sounds emerging from the cellar, contributing to the eerie atmosphere surrounding Marley’s Ghost.""The Cask is part of the sounds emerging from the cellar, contributing to the eerie atmosphere surrounding Marley’s Ghost.""The Cask is part of the sounds emerging from the cellar, contributing to the eerie atmosphere surrounding Marley’s Ghost.""The Cask is part of the sounds emerging from the cellar, contributing to the eerie atmosphere surrounding Marley’s Ghost.""The Cask is part of the sounds emerging from the cellar, contributing to the eerie atmosphere surrounding Marley’s Ghost."', 'source_id': 'chunk-9c43dac2fcd5b578242d907ea6f8fc7b'}> +2024-10-30 06:50:17,136 - lightrag - INFO - get_node:query:MATCH (n:`THE PAST`) RETURN n:result:"The Past reflects on Scrooge\'s earlier life choices and experiences that shaped who he has become.""The Past reflects on Scrooge\'s earlier life choices and experiences that shaped who he has become.""The Past reflects on Scrooge\'s earlier life choices and experiences that shaped who he has become.""The Past reflects on Scrooge\'s earlier life choices and experiences that shaped who he has become.""The Past reflects on Scrooge\'s earlier life choices and experiences that shaped who he has become."', 'source_id': 'chunk-91572b3cd42786ba4cb2f180ca25cbf4'}> +2024-10-30 06:50:17,222 - lightrag - INFO - get_node:query:MATCH (n:`CITY`) RETURN n:result:"The City represents the urban setting where Scrooge witnesses the indifference of its inhabitants regarding his death.""The City represents the urban setting where Scrooge\'s transformation takes place, symbolizing the broader society impacted by his changes.""The City serves as a backdrop where various scenes unfold, representing the hustle of life and economic concerns.""The City symbolizes the urban setting where Scrooge\'s transformation takes place, primarily depicting the contrast between Scrooge\'s isolation and the outer world filled with festivities.""The City serves as a backdrop where various scenes unfold, representing the hustle of life and economic concerns.""The City symbolizes the urban setting where Scrooge\'s transformation takes place, primarily depicting the contrast between Scrooge\'s isolation and the outer world filled with festivities.""The City serves as a backdrop where various scenes unfold, representing the hustle of life and economic concerns.""The City symbolizes the urban setting where Scrooge\'s transformation takes place, primarily depicting the contrast between Scrooge\'s isolation and the outer world filled with festivities.""The City serves as a backdrop where various scenes unfold, representing the hustle of life and economic concerns.""The City symbolizes the urban setting where Scrooge\'s transformation takes place, primarily depicting the contrast between Scrooge\'s isolation and the outer world filled with festivities.""The City serves as a backdrop where various scenes unfold, representing the hustle of life and economic concerns.""The City symbolizes the urban setting where Scrooge\'s transformation takes place, primarily depicting the contrast between Scrooge\'s isolation and the outer world filled with festivities."', 'source_id': 'chunk-02baee20cc9463dbe08170a8e1043e32chunk-843b5b2f944c7413d9ca876e2e2f151fchunk-94bea83e7153fc2064aa382b494936a1'}> +2024-10-30 06:50:17,309 - lightrag - INFO - get_node:query:MATCH (n:`WEALTH`) RETURN n:result: +2024-10-30 06:50:17,396 - lightrag - INFO - get_node:query:MATCH (n:`THE MAIN STREET`) RETURN n:result: +2024-10-30 06:50:17,480 - lightrag - INFO - get_node:query:MATCH (n:`THE GIRL`) RETURN n:result:"The Girl is referenced in relation to The Boy, highlighting the dynamics of the young attendees at the Fezziwig\'s celebrations."', 'source_id': 'chunk-8f738cb25d60a7dab782162d9d0a25edchunk-8bc1edd983869352d14cf0886a9175a7'}> +2024-10-30 06:50:17,570 - lightrag - INFO - get_node:query:MATCH (n:`CHRISTMAS FEAST`) RETURN n:result: +2024-10-30 06:50:17,659 - lightrag - INFO - get_node:query:MATCH (n:`JACOB MARLEY`) RETURN n:result:"Jacob Marley is Scrooge\'s deceased partner, who appears in spirit to influence Scrooge\'s journey towards redemption.""Jacob Marley is a spirit who influences Scrooge\'s change of heart, representing a connection to Scrooge\'s past and the theme of redemption.""Jacob Marley is the deceased business partner of Scrooge, whose ghost visits him to convey a message about the importance of charity and kindness.""Jacob Marley is the deceased partner of Scrooge who shows concern for Scrooge\'s fate and the importance of change in his life.""Jacob Marley is the ghost of Scrooge\'s former business partner, who foretells the consequences of Scrooge\'s selfishness and warns him to change his ways.""Jacob Marley is the ghost of Scrooge\'s former partner, who appears to warn Scrooge about his fate and the need for change in his life."Jacob Marley is Scrooge\'s deceased business partner, who appears as a ghost, prominently wearing chains that symbolize the burdens of his past misdeeds and the weight of his regrets. As a spirit, Marley plays a pivotal role in influencing Ebenezer Scrooge\'s journey toward redemption. He visits Scrooge to convey significant messages about the dire consequences of a life devoid of compassion and the critical importance of charity and kindness.\n\nMarley\'s haunting presence serves as a warning to Scrooge about his impending fate if he continues on his selfish and isolated path. He is depicted as showing genuine concern for Scrooge\'s welfare and the necessity for transformative change in his life. Through his visitation, Marley acts as a catalyst, compelling Scrooge to reflect on his past actions and their impact on others. His connection to Scrooge\'s history reinforces the themes of redemption and personal responsibility, emphasizing the potential for transformation and renewal in the face of prior wrongdoings. Ultimately, Jacob Marley\'s spirit not only acts as a reminder of the consequences of one\'s choices but also highlights the possibility of change and growth through self-awareness and connection to humanity.', 'source_id': 'chunk-90b95db5c53e4364a6bee36b7aa4d70fchunk-359187e7571bda4b0b08b2e0b6581e52chunk-da2472b4ef2a535b62908f14d0fb0ca9chunk-02baee20cc9463dbe08170a8e1043e32chunk-1aa50206d02ed89418f65f97c6441d1cchunk-91572b3cd42786ba4cb2f180ca25cbf4chunk-cb661c37436355ccec2769b1d0350c5f'}> +2024-10-30 06:50:17,747 - lightrag - INFO - get_node:query:MATCH (n:`FRENCH PLUMS`) RETURN n:result: +2024-10-30 06:50:17,834 - lightrag - INFO - get_node:query:MATCH (n:`MR. FEZZIWIG`) RETURN n:result:"Mr. Fezziwig is a kind-hearted merchant and former employer of Scrooge, representing joy and generosity in contrast to Scrooge\'s character.""Mr. Fezziwig is a kind-hearted merchant and former employer of Scrooge, representing joy and generosity in contrast to Scrooge\'s character.""Mr. Fezziwig is a kind-hearted merchant and former employer of Scrooge, representing joy and generosity in contrast to Scrooge\'s character.""Mr. Fezziwig is a kind-hearted merchant and former employer of Scrooge, representing joy and generosity in contrast to Scrooge\'s character.""Mr. Fezziwig is a kind-hearted old merchant who served as a mentor to Scrooge, representing generosity and the joy of Christmas through his festive parties."', 'source_id': 'chunk-9e3921da66da5d761ab73cd849af6c43'}> +2024-10-30 06:50:17,922 - lightrag - INFO - get_node:query:MATCH (n:`THE CHILDREN`) RETURN n:result:"The Children are a lively group in the matron\'s home, symbolizing joy, chaos, and familial warmth.""The Children in the Cratchit family represent innocence and curiosity, highlighting the effects of their family\'s struggles on their happiness.""The Children serve as symbols of innocence and joy, representing the untainted happiness of childhood that Scrooge longs to reconnect with.""The children are the offspring of the Cratchit family, showcasing innocence and joy during the Christmas celebrations, reacting with laughter and cheer."The Children are a lively and joyful group experiencing wonder and delight, especially during the gift-giving scenes of the Christmas festivities. They embody innocence and joy, highlighting the untainted happiness of childhood, a happiness that Ebenezer Scrooge longs to reconnect with. Among them are the offspring of the Cratchit family, who, despite the struggles their family faces, react with laughter and cheer during the Christmas celebrations. The Children symbolize familial warmth and chaotic joy in various settings, including the matron\'s home and their own family\'s environment, showcasing their carefree nature and the profound effects of their circumstances on their happiness. Overall, they represent the pure and curious essence of childhood, serving as a reminder of the happiness that can persist even amidst adversity.', 'source_id': 'chunk-da2472b4ef2a535b62908f14d0fb0ca9chunk-19d72c57ae3408758b18d2568e86dc6bchunk-c6c248858d1b13ab7ee9ca13c1aeed6bchunk-54bdd22db1f84a965b5f4c06c9216d8dchunk-83ac129dc9b56f84c46760d153d68e93'}> +2024-10-30 06:50:18,011 - lightrag - INFO - get_node:query:MATCH (n:`THE GRATE`) RETURN n:result:"The Grate is a small fire in Scrooge\'s room that provides meager warmth, symbolizing Scrooge\'s cold disposition.""The Grate is a small fire in Scrooge\'s room that provides meager warmth, symbolizing Scrooge\'s cold disposition.""The Grate is a small fire in Scrooge\'s room that provides meager warmth, symbolizing Scrooge\'s cold disposition.""The Grate is a small fire in Scrooge\'s room that provides meager warmth, symbolizing Scrooge\'s cold disposition.""The Grate is part of Scrooge\'s room where a small fire burns, contributing to the bleak and cold atmosphere of his setting."', 'source_id': 'chunk-9c43dac2fcd5b578242d907ea6f8fc7b'}> +2024-10-30 06:50:18,097 - lightrag - INFO - get_node:query:MATCH (n:`THE GOOSE`) RETURN n:result:"The Goose is a central dish enjoyed by the Cratchit family during their Christmas dinner, symbolizing abundance and celebration.""The Goose is a central dish enjoyed by the Cratchit family during their Christmas dinner, symbolizing abundance and celebration.""The Goose is a central dish enjoyed by the Cratchit family during their Christmas dinner, symbolizing abundance and celebration.""The Goose is a central dish enjoyed by the Cratchit family during their Christmas dinner, symbolizing abundance and celebration.""The Goose is a central element of the Cratchit Christmas dinner, representing abundance and the joy of the holiday as the family eagerly anticipates its serving.""The Goose is a central part of the Cratchit family Christmas dinner, which they celebrate with excitement and anticipation, symbolizing abundance and joy.""The Goose is a central element of the Cratchit Christmas dinner, representing abundance and the joy of the holiday as the family eagerly anticipates its serving.""The Goose is a central element of the Cratchit Christmas dinner, representing abundance and the joy of the holiday as the family eagerly anticipates its serving.""The Goose is a central element of the Cratchit Christmas dinner, representing abundance and the joy of the holiday as the family eagerly anticipates its serving.""The Goose is a central element of the Cratchit Christmas dinner, representing abundance and the joy of the holiday as the family eagerly anticipates its serving."', 'source_id': 'chunk-503f0bfa5453467c7c61d160a3540ecachunk-7e2e7ebcc19a53b399dc03aded4743e7'}> +2024-10-30 06:50:18,184 - lightrag - INFO - get_node:query:MATCH (n:`THE WOMAN`) RETURN n:result:chunk-60fc063c79fc0d4acc91a57e79de04dcchunk-89777b838d5447c7bd1ec11282c4ee89'}> +2024-10-30 06:50:18,272 - lightrag - INFO - get_node:query:MATCH (n:`THE SCHOOLMASTER`) RETURN n:result: +2024-10-30 06:50:18,357 - lightrag - INFO - get_node:query:MATCH (n:`TWELFTH-NIGHT PARTY`) RETURN n:result: +2024-10-30 06:50:18,444 - lightrag - INFO - get_node:query:MATCH (n:`THE PHANTOM`) RETURN n:result:"The Phantom represents a ghostly presence guiding Scrooge through reflections on his life and future decisions.""The Phantom represents a ghostly presence guiding Scrooge through reflections on his life and future decisions.""The Phantom represents a ghostly presence guiding Scrooge through reflections on his life and future decisions.""The Phantom represents a ghostly presence guiding Scrooge through reflections on his life and future decisions.""The Phantom represents the supernatural element in Scrooge\'s journey of self-reflection and moral awakening."', 'source_id': 'chunk-f1a4fbcf1ed86864b9bfd5e8dba4c683'}> +2024-10-30 06:50:18,532 - lightrag - INFO - get_node:query:MATCH (n:`THE LAMPLIGHTER`) RETURN n:result:"The Lamplighter is a character who brings light to the street, symbolizing hope and joy as he dotting the dusky street with specks of light.""The Lamplighter is a character who brings light to the street, symbolizing hope and joy as he dotting the dusky street with specks of light.""The Lamplighter is a character who brings light to the street, symbolizing hope and joy as he dotting the dusky street with specks of light.""The Lamplighter is a character who brings light to the street, symbolizing hope and joy as he dotting the dusky street with specks of light.""The Lamplighter is a character who fills the street with light, representing the warmth and joy of the holiday season."', 'source_id': 'chunk-91614df5cb74cbe5e109a338a82041e9'}> +2024-10-30 06:50:18,617 - lightrag - INFO - get_node:query:MATCH (n:`MANSION`) RETURN n:result: +2024-10-30 06:50:18,706 - lightrag - INFO - get_node:query:MATCH (n:`CAROLINE`) RETURN n:result:"Caroline is portrayed as a mother filled with hope and emotion regarding her husband’s situation, revealing her character through her reactions to news.""Caroline is portrayed as a mother filled with hope and emotion regarding her husband’s situation, revealing her character through her reactions to news.""Caroline is portrayed as a mother filled with hope and emotion regarding her husband’s situation, revealing her character through her reactions to news.""Caroline is portrayed as a mother filled with hope and emotion regarding her husband’s situation, revealing her character through her reactions to news.""Caroline is portrayed as a mother filled with hope and emotion regarding her husband’s situation, revealing her character through her reactions to news."', 'source_id': 'chunk-83ac129dc9b56f84c46760d153d68e93'}> +2024-10-30 06:50:18,793 - lightrag - INFO - get_node:query:MATCH (n:`FRED`) RETURN n:result:"Fred is Ebenezer Scrooge\'s nephew, who embodies the spirit of Christmas and represents familial love and joy.""Fred is Scrooge\'s nephew who expresses admiration for Scrooge and raises a toast to his uncle during a Christmas gathering.""Fred is Scrooge\'s nephew, representing familial love and the joy of Christmas gatherings.""Fred is Scrooge\'s nephew, who invites Scrooge to dinner, emphasizing familial connections and the spirit of Christmas.""Fred is Scrooge\'s nephew, who is surprised by Scrooge\'s visit and is depicted as a friendly figure during the Christmas gathering."Fred is Ebenezer Scrooge\'s lively nephew, who embodies the spirit of Christmas and serves as a striking contrast to Scrooge\'s misanthropic nature. He represents familial love and joy, often inviting Scrooge to family gatherings and emphasizing the importance of familial connections during the holiday season. Fred expresses admiration for his uncle and raises a toast in his honor at Christmas gatherings, showcasing his warmth and festive spirit. His character highlights the warmth of family that Scrooge initially rejects, and he is depicted as a friendly figure who is surprised and pleased by Scrooge\'s unexpected visits. Overall, Fred exemplifies the joy and unity of Christmas, passionately inviting Scrooge to embrace the happiness associated with the holiday and family."Fred is Scrooge\'s nephew who expresses admiration for Scrooge and raises a toast to his uncle during a Christmas gathering.""Fred is Scrooge\'s nephew, representing familial love and the joy of Christmas gatherings.""Fred is Scrooge\'s nephew, who invites Scrooge to dinner, emphasizing familial connections and the spirit of Christmas.""Fred is Scrooge\'s nephew, who is surprised by Scrooge\'s visit and is depicted as a friendly figure during the Christmas gathering."', 'source_id': 'chunk-89777b838d5447c7bd1ec11282c4ee89chunk-e7637ff18c5ded77a68cce0a87883fadchunk-9e3921da66da5d761ab73cd849af6c43chunk-94bea83e7153fc2064aa382b494936a1chunk-8f738cb25d60a7dab782162d9d0a25ed'}> +2024-10-30 06:50:18,879 - lightrag - INFO - get_node:query:MATCH (n:`BAD REPUTE`) RETURN n:result: +2024-10-30 06:50:18,966 - lightrag - INFO - get_node:query:MATCH (n:`HOME`) RETURN n:result:"Home represents the physical and emotional center for the family, where the Christmas celebration takes place.""Home represents the physical and emotional center for the family, where the Christmas celebration takes place.""Home represents the physical and emotional center for the family, where the Christmas celebration takes place.""Home represents the physical and emotional center for the family, where the Christmas celebration takes place.""Home symbolizes warmth, safety, and family connection, representing what Scrooge yearns for but has lost in his life.""Home symbolizes warmth, safety, and family connection, representing what Scrooge yearns for but has lost in his life.""Home symbolizes warmth, safety, and family connection, representing what Scrooge yearns for but has lost in his life.""Home symbolizes warmth, safety, and family connection, representing what Scrooge yearns for but has lost in his life.""Home symbolizes warmth, safety, and family connection, representing what Scrooge yearns for but has lost in his life."', 'source_id': 'chunk-da2472b4ef2a535b62908f14d0fb0ca9chunk-c6c248858d1b13ab7ee9ca13c1aeed6b'}> +2024-10-30 06:50:19,053 - lightrag - INFO - get_node:query:MATCH (n:`THE OLD GENTLEMAN`) RETURN n:result: +2024-10-30 06:50:19,138 - lightrag - INFO - get_node:query:MATCH (n:`THE KNOCKER`) RETURN n:result:"The Knocker is a feature on Scrooge\'s door, which takes on a mystical quality when Scrooge perceives Marley\'s face in it.""The Knocker is a feature on Scrooge\'s door, which takes on a mystical quality when Scrooge perceives Marley\'s face in it.""The Knocker is a feature on Scrooge\'s door, which takes on a mystical quality when Scrooge perceives Marley\'s face in it.""The Knocker is a feature on Scrooge\'s door, which takes on a mystical quality when Scrooge perceives Marley\'s face in it.""The Knocker is a physical object that becomes a symbol of Scrooge\'s psyche, transforming into Marley\'s face, representing his guilt and past.""The Knocker is an ornate door knocker that Scrooge admires, reflecting his newfound appreciation for simple joys.""The Knocker on the door serves as a symbolic gateway to the supernatural events, being the first point of eerie interaction for Scrooge.""The Knocker is a physical object that symbolizes Scrooge\'s newfound appreciation for the simple, honest joys of life during Christmas.""The Knocker is a physical object that symbolizes Scrooge\'s newfound appreciation for the simple, honest joys of life during Christmas.""The Knocker is a physical object that symbolizes Scrooge\'s newfound appreciation for the simple, honest joys of life during Christmas.""The Knocker is a physical object that symbolizes Scrooge\'s newfound appreciation for the simple, honest joys of life during Christmas.""The Knocker is a physical object that symbolizes Scrooge\'s newfound appreciation for the simple, honest joys of life during Christmas."', 'source_id': 'chunk-d9aac3484185ac66045df92214d245d5chunk-9c43dac2fcd5b578242d907ea6f8fc7bchunk-8f738cb25d60a7dab782162d9d0a25ed'}> +2024-10-30 06:50:19,225 - lightrag - INFO - get_node:query:MATCH (n:`THE BELL`) RETURN n:result:"The Bell is described as a disused bell that starts to swing and ring during the haunting, signifying the onset of supernatural occurrences.""The Bell is a disused bell in Scrooge\'s room, which begins to swing and rings out loudly, heralding the appearance of Marley\'s Ghost.""The Bell is a disused bell in Scrooge\'s room, which begins to swing and rings out loudly, heralding the appearance of Marley\'s Ghost.""The Bell is a disused bell in Scrooge\'s room, which begins to swing and rings out loudly, heralding the appearance of Marley\'s Ghost.""The Bell is a disused bell in Scrooge\'s room, which begins to swing and rings out loudly, heralding the appearance of Marley\'s Ghost.""The Bell is a disused bell in Scrooge\'s room, which begins to swing and rings out loudly, heralding the appearance of Marley\'s Ghost."', 'source_id': 'chunk-9c43dac2fcd5b578242d907ea6f8fc7bchunk-cb661c37436355ccec2769b1d0350c5f'}> +2024-10-30 06:50:19,309 - lightrag - INFO - get_node:query:MATCH (n:`SHADOW OF HIMSELF`) RETURN n:result: +2024-10-30 06:50:19,398 - lightrag - INFO - get_node:query:MATCH (n:`MARKET-TOWN`) RETURN n:result:"The market-town appears in Scrooge\'s memories as a significant place from his childhood, representing a connection to his past.""The market-town appears in Scrooge\'s memories as a significant place from his childhood, representing a connection to his past.""The market-town appears in Scrooge\'s memories as a significant place from his childhood, representing a connection to his past.""The market-town appears in Scrooge\'s memories as a significant place from his childhood, representing a connection to his past.""The market-town appears in Scrooge\'s memories as a significant place from his childhood, representing a connection to his past."', 'source_id': 'chunk-bb21d58d36c6306fd8810ddd51c4a971'}> +2024-10-30 06:50:19,485 - lightrag - INFO - get_node:query:MATCH (n:`THE GHOST`) RETURN n:result:chunk-43c9bee23adfa77aa9dedd22401bba7dchunk-e7637ff18c5ded77a68cce0a87883fadchunk-359187e7571bda4b0b08b2e0b6581e52chunk-da2472b4ef2a535b62908f14d0fb0ca9chunk-c6c248858d1b13ab7ee9ca13c1aeed6bchunk-02baee20cc9463dbe08170a8e1043e32chunk-1aa50206d02ed89418f65f97c6441d1cchunk-cb661c37436355ccec2769b1d0350c5fchunk-54bdd22db1f84a965b5f4c06c9216d8dchunk-8590d9263cd2cd4fa583c432fc54e6c3chunk-83ac129dc9b56f84c46760d153d68e93chunk-9c43dac2fcd5b578242d907ea6f8fc7b'}> +2024-10-30 06:50:19,575 - lightrag - INFO - get_node:query:MATCH (n:`PEARS`) RETURN n:result: +2024-10-30 06:50:19,661 - lightrag - INFO - get_node:query:MATCH (n:`CRATCHIT FAMILY`) RETURN n:result:"The Cratchit Family consists of Bob, Mrs. Cratchit, and their children, embodying themes of family unity and contentment despite hardships.""The Cratchit Family consists of Bob, Mrs. Cratchit, and their children, embodying themes of family unity and contentment despite hardships.""The Cratchit Family consists of Bob, Mrs. Cratchit, and their children, embodying themes of family unity and contentment despite hardships.""The Cratchit Family consists of Bob, Mrs. Cratchit, and their children, embodying themes of family unity and contentment despite hardships.""The Cratchit Family is a close-knit family characterized by love and togetherness, celebrating Christmas with simple but joyful traditions.""The Cratchit Family is portrayed as a close-knit group who, despite their hardships, find joy and gratitude during the Christmas gathering.""The Cratchit Family is portrayed as a loving unit celebrating Christmas together, with various members actively participating in the festivities.""The Cratchit family represents a unit bound by love and resilience in the face of adversity, dealing with emotional and financial struggles.""The Cratchit Family is depicted as a warm and loving household celebrating Christmas together, with various members actively participating in the festivities.""The Cratchit Family is depicted as a warm and loving household celebrating Christmas together, with various members actively participating in the festivities.""The Cratchit Family is depicted as a warm and loving household celebrating Christmas together, with various members actively participating in the festivities.""The Cratchit Family is depicted as a warm and loving household celebrating Christmas together, with various members actively participating in the festivities.""The Cratchit Family is depicted as a warm and loving household celebrating Christmas together, with various members actively participating in the festivities."', 'source_id': 'chunk-503f0bfa5453467c7c61d160a3540ecachunk-19d72c57ae3408758b18d2568e86dc6bchunk-7e2e7ebcc19a53b399dc03aded4743e7chunk-83ac129dc9b56f84c46760d153d68e93'}> +2024-10-30 06:50:19,748 - lightrag - INFO - get_node:query:MATCH (n:`THE EVENT OF DEATH`) RETURN n:result: +2024-10-30 06:50:19,837 - lightrag - INFO - get_node:query:MATCH (n:`COLD WEATHER`) RETURN n:result:"Cold Weather sets the bleak and unforgiving atmosphere, reflecting Scrooge’s own personality and state of mind.""Cold Weather sets the bleak and unforgiving atmosphere, reflecting Scrooge’s own personality and state of mind.""Cold Weather sets the bleak and unforgiving atmosphere, reflecting Scrooge’s own personality and state of mind.""Cold Weather sets the bleak and unforgiving atmosphere, reflecting Scrooge’s own personality and state of mind.""Cold Weather sets the bleak and unforgiving atmosphere, reflecting Scrooge’s own personality and state of mind."', 'source_id': 'chunk-f1a4fbcf1ed86864b9bfd5e8dba4c683chunk-74e2466de2f67fd710ef2f20c0a8d9e0'}> +2024-10-30 06:50:19,925 - lightrag - INFO - get_node:query:MATCH (n:`THE GHOST OF MARLEY`) RETURN n:result:"The Ghost of Marley refers to the apparition that appears to Scrooge, serving as a catalyst for his transformation and moral reckoning.""The Ghost of Marley refers to the apparition that appears to Scrooge, serving as a catalyst for his transformation and moral reckoning.""The Ghost of Marley refers to the apparition that appears to Scrooge, serving as a catalyst for his transformation and moral reckoning.""The Ghost of Marley refers to the apparition that appears to Scrooge, serving as a catalyst for his transformation and moral reckoning.""The Ghost of Marley refers to the apparition that appears to Scrooge, serving as a catalyst for his transformation and moral reckoning."', 'source_id': 'chunk-d9aac3484185ac66045df92214d245d5'}> +2024-10-30 06:50:20,015 - lightrag - INFO - get_node:query:MATCH (n:`COUNTING-HOUSE`) RETURN n:result:"Scrooge\'s counting-house is the place of his work, characterized by coldness and a lack of warmth or holiday spirit.""Scrooge\'s counting-house is the place of his work, characterized by coldness and a lack of warmth or holiday spirit.""Scrooge\'s counting-house is the place of his work, characterized by coldness and a lack of warmth or holiday spirit.""Scrooge\'s counting-house is the place of his work, characterized by coldness and a lack of warmth or holiday spirit.""The Counting-House is a physical space representing the business environment where Scrooge and Marley engaged in trade but also symbolizes their limited worldview.""The Counting-house is the place where Scrooge conducted his business and represents the limitations of his previous life.""The Counting-house is the place where Scrooge conducted his business and represents the limitations of his previous life.""The Counting-house is the place where Scrooge conducted his business and represents the limitations of his previous life.""The Counting-house is the place where Scrooge conducted his business and represents the limitations of his previous life.""The Counting-house is the place where Scrooge conducted his business and represents the limitations of his previous life."', 'source_id': 'chunk-359187e7571bda4b0b08b2e0b6581e52chunk-74e2466de2f67fd710ef2f20c0a8d9e0'}> +2024-10-30 06:50:20,103 - lightrag - INFO - get_node:query:MATCH (n:`THE HUSBAND`) RETURN n:result: +2024-10-30 06:50:20,190 - lightrag - INFO - get_node:query:MATCH (n:`SCROOGE`) RETURN n:result:chunk-b0f459f5af1c3a5e0b92cbe4ee48b77bchunk-e7637ff18c5ded77a68cce0a87883fadchunk-359187e7571bda4b0b08b2e0b6581e52chunk-e1f29eeadc1d8ab46dc8a0bbd3c56b64chunk-c6c248858d1b13ab7ee9ca13c1aeed6bchunk-cb661c37436355ccec2769b1d0350c5fchunk-f1a4fbcf1ed86864b9bfd5e8dba4c683chunk-99b0ec7f7e006561352b5d65e849611dchunk-843b5b2f944c7413d9ca876e2e2f151fchunk-90b95db5c53e4364a6bee36b7aa4d70fchunk-19d72c57ae3408758b18d2568e86dc6bchunk-02baee20cc9463dbe08170a8e1043e32chunk-503f0bfa5453467c7c61d160a3540ecachunk-91572b3cd42786ba4cb2f180ca25cbf4chunk-83ac129dc9b56f84c46760d153d68e93chunk-8f738cb25d60a7dab782162d9d0a25edchunk-94bea83e7153fc2064aa382b494936a1chunk-9c43dac2fcd5b578242d907ea6f8fc7bchunk-74e2466de2f67fd710ef2f20c0a8d9e0chunk-89777b838d5447c7bd1ec11282c4ee89chunk-d9aac3484185ac66045df92214d245d5chunk-90d5764e301321c087f5a8f78b73a145chunk-91614df5cb74cbe5e109a338a82041e9chunk-54bdd22db1f84a965b5f4c06c9216d8dchunk-773d0df1dd25c356f7b771d780583e09chunk-5dac41b3f9eeaf794f0147400b1718cdchunk-43c9bee23adfa77aa9dedd22401bba7dchunk-da2472b4ef2a535b62908f14d0fb0ca9chunk-1aa50206d02ed89418f65f97c6441d1cchunk-8590d9263cd2cd4fa583c432fc54e6c3chunk-b2f98bc7abb0c67d4c86055c7fd72218chunk-bb21d58d36c6306fd8810ddd51c4a971'}> +2024-10-30 06:50:20,277 - lightrag - INFO - get_node:query:MATCH (n:`THE GENTLEMEN`) RETURN n:result: +2024-10-30 06:50:20,367 - lightrag - INFO - get_node:query:MATCH (n:`THE COUNTESS`) RETURN n:result:"The Countess is mentioned by Martha, indicating an encounter that highlights the social stratification and aspirations of the Cratchit family.""The Countess is mentioned by Martha, indicating an encounter that highlights the social stratification and aspirations of the Cratchit family.""The Countess is mentioned by Martha, indicating an encounter that highlights the social stratification and aspirations of the Cratchit family.""The Countess is mentioned by Martha, indicating an encounter that highlights the social stratification and aspirations of the Cratchit family.""The Countess is referenced by Martha, showcasing her interaction with figures of higher social status, contrasting with the Cratchit family\'s situation."', 'source_id': 'chunk-19d72c57ae3408758b18d2568e86dc6b'}> +2024-10-30 06:50:20,459 - lightrag - INFO - get_node:query:MATCH (n:`CHRISTMAS-TIME`) RETURN n:result:"Christmas-Time refers to the period surrounding Christmas, laden with connotations of joy, generosity, and family gatherings, which Scrooge vehemently criticizes.""Christmas-Time refers to the period surrounding Christmas, laden with connotations of joy, generosity, and family gatherings, which Scrooge vehemently criticizes.""Christmas-Time refers to the period surrounding Christmas, laden with connotations of joy, generosity, and family gatherings, which Scrooge vehemently criticizes.""Christmas-Time refers to the period surrounding Christmas, laden with connotations of joy, generosity, and family gatherings, which Scrooge vehemently criticizes.""Christmas-time is characterized as a period filled with festivities, joy, and community engagement, which Scrooge regards cynically.""Christmas-time represents the festive season, a recurring theme that evokes memories and emotions in Scrooge’s reflections.""Christmas-time serves as a backdrop for the narrative, emphasizing themes of reflection, mortality, and social interactions.""Christmas-time symbolizes a period of joy and reunion, characterized by scenes of celebration and warmth in the story.""Christmas-time symbolizes a period of joy and reunion, characterized by scenes of celebration and warmth in the story.""Christmas-time symbolizes a period of joy and reunion, characterized by scenes of celebration and warmth in the story.""Christmas-time symbolizes a period of joy and reunion, characterized by scenes of celebration and warmth in the story.""Christmas-time symbolizes a period of joy and reunion, characterized by scenes of celebration and warmth in the story."', 'source_id': 'chunk-f1a4fbcf1ed86864b9bfd5e8dba4c683chunk-5dac41b3f9eeaf794f0147400b1718cdchunk-c6c248858d1b13ab7ee9ca13c1aeed6b'}> +2024-10-30 06:50:20,547 - lightrag - INFO - get_node:query:MATCH (n:`THE YOUNG GIRL`) RETURN n:result: +2024-10-30 06:50:20,637 - lightrag - INFO - get_node:query:MATCH (n:`THE CLOCK`) RETURN n:result:"The Clock is mentioned as malfunctioning, which symbolizes the confusion and distortion of time that Scrooge experiences during his nighttime visitations.""The Clock serves as a symbol of time passing, reflecting Scrooge\'s disorientation regarding time as he transitions between reality and the supernatural.""The Clock signifies the passage of time during the Domestic Ball and plays a role in marking the end of the celebration.""The Clock serves as a symbol of time passing, reflecting Scrooge\'s disorientation regarding time as he transitions between reality and the supernatural.""The Clock signifies the passage of time during the Domestic Ball and plays a role in marking the end of the celebration.""The Clock serves as a symbol of time passing, reflecting Scrooge\'s disorientation regarding time as he transitions between reality and the supernatural.""The Clock signifies the passage of time during the Domestic Ball and plays a role in marking the end of the celebration.""The Clock serves as a symbol of time passing, reflecting Scrooge\'s disorientation regarding time as he transitions between reality and the supernatural.""The Clock signifies the passage of time during the Domestic Ball and plays a role in marking the end of the celebration.""The Clock serves as a symbol of time passing, reflecting Scrooge\'s disorientation regarding time as he transitions between reality and the supernatural.""The Clock signifies the passage of time during the Domestic Ball and plays a role in marking the end of the celebration."', 'source_id': 'chunk-c7b10789a9cb0af6c553730b29bd9034chunk-b2f98bc7abb0c67d4c86055c7fd72218chunk-cb661c37436355ccec2769b1d0350c5f'}> +2024-10-30 06:50:20,726 - lightrag - INFO - get_node:query:MATCH (n:`THE COMELY MATRON`) RETURN n:result: +2024-10-30 06:50:20,812 - lightrag - INFO - get_node:query:MATCH (n:`MASTER SCROOGE`) RETURN n:result: +2024-10-30 06:50:20,899 - lightrag - INFO - get_node:query:MATCH (n:`GREAT BRITAIN`) RETURN n:result:"Great Britain is a location mentioned as having chimneys that appear to be catching fire and is the setting for a gloomy climate during Christmas time.""Great Britain is a location mentioned as having chimneys that appear to be catching fire and is the setting for a gloomy climate during Christmas time.""Great Britain is a location mentioned as having chimneys that appear to be catching fire and is the setting for a gloomy climate during Christmas time.""Great Britain is a location mentioned as having chimneys that appear to be catching fire and is the setting for a gloomy climate during Christmas time.""Great Britain is referenced as a location suffering from severe weather, which contrasts with the cheerful activities of its people during Christmas."', 'source_id': 'chunk-99b0ec7f7e006561352b5d65e849611d'}> +2024-10-30 06:50:20,986 - lightrag - INFO - get_node:query:MATCH (n:`SCHOOL`) RETURN n:result: +2024-10-30 06:50:21,077 - lightrag - INFO - get_node:query:MATCH (n:`THE COUNTING-HOUSE`) RETURN n:result:"The Counting-House is where Scrooge works and is characterized by its cold and unwelcoming environment.""The Counting-House is the place where Scrooge works, reflecting a business environment lacking warmth or joy.""The Counting-House is the place where Scrooge works, reflecting a business environment lacking warmth or joy.""The Counting-House is the place where Scrooge works, reflecting a business environment lacking warmth or joy.""The Counting-House is the place where Scrooge works, reflecting a business environment lacking warmth or joy.""The Counting-House is the place where Scrooge works, reflecting a business environment lacking warmth or joy."', 'source_id': 'chunk-d9aac3484185ac66045df92214d245d5chunk-74e2466de2f67fd710ef2f20c0a8d9e0'}> +2024-10-30 06:50:21,166 - lightrag - INFO - get_node:query:MATCH (n:`THE DRESSING-GOWN`) RETURN n:result:"The Dressing-Gown is worn by Scrooge, symbolizing his state of vulnerability and introspection as he grapples with profound ideas in the narrative.""The Dressing-Gown is worn by Scrooge, symbolizing his state of vulnerability and introspection as he grapples with profound ideas in the narrative.""The Dressing-Gown is worn by Scrooge, symbolizing his state of vulnerability and introspection as he grapples with profound ideas in the narrative.""The Dressing-Gown is worn by Scrooge, symbolizing his state of vulnerability and introspection as he grapples with profound ideas in the narrative.""The Dressing-Gown is worn by Scrooge, symbolizing his state of vulnerability and introspection as he grapples with profound ideas in the narrative."', 'source_id': 'chunk-c7b10789a9cb0af6c553730b29bd9034chunk-9c43dac2fcd5b578242d907ea6f8fc7b'}> +2024-10-30 06:50:21,256 - lightrag - INFO - get_node:query:MATCH (n:`CHURCH`) RETURN n:result: +2024-10-30 06:50:21,341 - lightrag - INFO - get_node:query:MATCH (n:`BOYS`) RETURN n:result: +2024-10-30 06:50:21,432 - lightrag - INFO - get_node:query:MATCH (n:`THE COLD`) RETURN n:result: +2024-10-30 06:50:21,519 - lightrag - INFO - get_node:query:MATCH (n:`THE WINE-MERCHANT'S CELLAR`) RETURN n:result:"The Wine-Merchant\'s Cellar is a location within The House where sounds of dragging chains are heard, signifying a haunted presence.""The Wine-Merchant\'s Cellar is a location within The House where sounds of dragging chains are heard, signifying a haunted presence.""The Wine-Merchant\'s Cellar is a location within The House where sounds of dragging chains are heard, signifying a haunted presence.""The Wine-Merchant\'s Cellar is a location within The House where sounds of dragging chains are heard, signifying a haunted presence.""The Wine-Merchant\'s Cellar is a location within The House where sounds of dragging chains are heard, signifying a haunted presence."', 'source_id': 'chunk-9c43dac2fcd5b578242d907ea6f8fc7b'}> +2024-10-30 06:50:21,612 - lightrag - INFO - get_node:query:MATCH (n:`THE PARROT`) RETURN n:result: +2024-10-30 06:50:21,701 - lightrag - INFO - get_node:query:MATCH (n:`THE MEMORY`) RETURN n:result: +2024-10-30 06:50:21,788 - lightrag - INFO - get_node:query:MATCH (n:`SCROOGE AND MARLEY'S`) RETURN n:result: +2024-10-30 06:50:21,876 - lightrag - INFO - get_node:query:MATCH (n:`IGNORANCE`) RETURN n:result:"Ignorance is personified as a boy that symbolizes the dangers of ignoring social issues and the consequences of a lack of awareness.""Ignorance personifies a societal failing, depicted as a child, warning of the dangers of neglect and moral responsibility.""Ignorance refers to one of the two children presented by the Spirit, symbolizing societal neglect and the consequences of lack of awareness.""Ignorance personifies a societal failing, depicted as a child, warning of the dangers of neglect and moral responsibility.""Ignorance refers to one of the two children presented by the Spirit, symbolizing societal neglect and the consequences of lack of awareness.""Ignorance personifies a societal failing, depicted as a child, warning of the dangers of neglect and moral responsibility.""Ignorance refers to one of the two children presented by the Spirit, symbolizing societal neglect and the consequences of lack of awareness.""Ignorance personifies a societal failing, depicted as a child, warning of the dangers of neglect and moral responsibility.""Ignorance refers to one of the two children presented by the Spirit, symbolizing societal neglect and the consequences of lack of awareness.""Ignorance personifies a societal failing, depicted as a child, warning of the dangers of neglect and moral responsibility.""Ignorance refers to one of the two children presented by the Spirit, symbolizing societal neglect and the consequences of lack of awareness."', 'source_id': 'chunk-02baee20cc9463dbe08170a8e1043e32chunk-e7637ff18c5ded77a68cce0a87883fad'}> +2024-10-30 06:50:21,963 - lightrag - INFO - get_node:query:MATCH (n:`BUSINESSMEN`) RETURN n:result: +2024-10-30 06:50:22,056 - lightrag - INFO - get_node:query:MATCH (n:`THE TANK`) RETURN n:result:"The Tank is the workplace setting where Bob Cratchit works under Scrooge, highlighting the power dynamics in their relationship.""The Tank is the workplace setting where Bob Cratchit works under Scrooge, highlighting the power dynamics in their relationship.""The Tank is the workplace setting where Bob Cratchit works under Scrooge, highlighting the power dynamics in their relationship.""The Tank is the workplace setting where Bob Cratchit works under Scrooge, highlighting the power dynamics in their relationship.""The Tank refers to Bob Cratchit\'s work area, where he encounters Scrooge and faces the consequences of arriving late."', 'source_id': 'chunk-94bea83e7153fc2064aa382b494936a1'}> +2024-10-30 06:50:22,146 - lightrag - INFO - get_node:query:MATCH (n:`GAOL`) RETURN n:result:"Gaol refers to a prison, illustrating the theme of social justice and the conditions of the impoverished in society.""Gaol refers to a prison, illustrating the theme of social justice and the conditions of the impoverished in society.""Gaol refers to a prison, illustrating the theme of social justice and the conditions of the impoverished in society.""Gaol refers to a prison, illustrating the theme of social justice and the conditions of the impoverished in society.""The Gaol symbolizes imprisonment and despair, representing the societal failings and the need for mercy and understanding."', 'source_id': 'chunk-e7637ff18c5ded77a68cce0a87883fad'}> +2024-10-30 06:50:22,234 - lightrag - INFO - get_node:query:MATCH (n:`FIGS`) RETURN n:result: +2024-10-30 06:50:22,325 - lightrag - INFO - get_node:query:MATCH (n:`THE GHOST OF JACOB MARLEY`) RETURN n:result: +2024-10-30 06:50:22,416 - lightrag - INFO - get_node:query:MATCH (n:`CHRISTMAS EVE`) RETURN n:result:"Christmas Eve is a significant time in the story, marked by celebrations and gatherings led by Fezziwig.""Christmas Eve is a significant time in the story, marked by celebrations and gatherings led by Fezziwig.""Christmas Eve is a significant time in the story, marked by celebrations and gatherings led by Fezziwig.""Christmas Eve is a significant time in the story, marked by celebrations and gatherings led by Fezziwig.""Christmas Eve is depicted as a significant time, bringing about joyful activities like sliding down snow hills, contrasting with Scrooge\'s dour demeanor.""Christmas Eve is the night before Christmas, serving as the backdrop for the lively celebrations and dances hosted by Fezziwig.""Christmas Eve is the specific time setting in the story, highlighting the contrast between the joy of the holiday and Scrooge\'s negativity.""Christmas Eve is the day prior to Christmas, a time that carries festive significance and anticipation in the narrative.""Christmas Eve is the day prior to Christmas, a time that carries festive significance and anticipation in the narrative.""Christmas Eve is the day prior to Christmas, a time that carries festive significance and anticipation in the narrative.""Christmas Eve is the day prior to Christmas, a time that carries festive significance and anticipation in the narrative.""Christmas Eve is the day prior to Christmas, a time that carries festive significance and anticipation in the narrative."', 'source_id': 'chunk-d9aac3484185ac66045df92214d245d5chunk-8bc1edd983869352d14cf0886a9175a7chunk-74e2466de2f67fd710ef2f20c0a8d9e0'}> +2024-10-30 06:50:22,507 - lightrag - INFO - get_node:query:MATCH (n:`CHRISTMAS DAY`) RETURN n:result:"Christmas Day is a significant holiday that marks the time of Scrooge\'s revelation and intent to change.""Christmas Day is celebrated by the Cratchit family with a communal meal and expressions of joy and togetherness, highlighting the importance of family and gratitude.""Christmas Day serves as the central event around which the family gathers and reflects on their feelings towards Scrooge.""Christmas Day is portrayed as a day of celebration and gathering, emphasizing themes of togetherness and generosity.""Christmas Day serves as a central event for the gathering of the Cratchit family, filled with mixed feelings about their employer, Scrooge.""Christmas Day serves as the backdrop for Scrooge\'s transformation, representing joy, celebration, and new beginnings.""Christmas Day is portrayed as a day of celebration and gathering, emphasizing themes of togetherness and generosity.""Christmas Day serves as a central event for the gathering of the Cratchit family, filled with mixed feelings about their employer, Scrooge.""Christmas Day serves as the backdrop for Scrooge\'s transformation, representing joy, celebration, and new beginnings.""Christmas Day is portrayed as a day of celebration and gathering, emphasizing themes of togetherness and generosity.""Christmas Day serves as a central event for the gathering of the Cratchit family, filled with mixed feelings about their employer, Scrooge.""Christmas Day serves as the backdrop for Scrooge\'s transformation, representing joy, celebration, and new beginnings.""Christmas Day is portrayed as a day of celebration and gathering, emphasizing themes of togetherness and generosity.""Christmas Day serves as a central event for the gathering of the Cratchit family, filled with mixed feelings about their employer, Scrooge.""Christmas Day serves as the backdrop for Scrooge\'s transformation, representing joy, celebration, and new beginnings.""Christmas Day is portrayed as a day of celebration and gathering, emphasizing themes of togetherness and generosity.""Christmas Day serves as a central event for the gathering of the Cratchit family, filled with mixed feelings about their employer, Scrooge.""Christmas Day serves as the backdrop for Scrooge\'s transformation, representing joy, celebration, and new beginnings."', 'source_id': 'chunk-19d72c57ae3408758b18d2568e86dc6bchunk-90b95db5c53e4364a6bee36b7aa4d70fchunk-7e2e7ebcc19a53b399dc03aded4743e7chunk-b0f459f5af1c3a5e0b92cbe4ee48b77b'}> +2024-10-30 06:50:22,595 - lightrag - INFO - get_node:query:MATCH (n:`THE PHANTOM VOICES`) RETURN n:result: +2024-10-30 06:50:22,681 - lightrag - INFO - get_node:query:MATCH (n:`CHILD`) RETURN n:result: +2024-10-30 06:50:22,770 - lightrag - INFO - get_node:query:MATCH (n:`CLOCK`) RETURN n:result: +2024-10-30 06:50:22,854 - lightrag - INFO - get_node:query:MATCH (n:`JACOB`) RETURN n:result:"Jacob is Scrooge\'s old partner whose death is acknowledged, influencing Scrooge\'s reflections on his own life and future.""Jacob is Scrooge\'s old partner whose death is acknowledged, influencing Scrooge\'s reflections on his own life and future.""Jacob is Scrooge\'s old partner whose death is acknowledged, influencing Scrooge\'s reflections on his own life and future.""Jacob is Scrooge\'s old partner whose death is acknowledged, influencing Scrooge\'s reflections on his own life and future.""Jacob is referenced as Scrooge\'s old partner, significant for his recent death and the impact of this event on Scrooge\'s reflections."', 'source_id': 'chunk-f1a4fbcf1ed86864b9bfd5e8dba4c683'}> +2024-10-30 06:50:22,945 - lightrag - INFO - get_node:query:MATCH (n:`GHOST OF JACOB MARLEY`) RETURN n:result:"The Ghost of Jacob Marley is the specter of Scrooge\'s former business partner, who warns Scrooge to change his ways.""The Ghost of Jacob Marley is the specter of Scrooge\'s former business partner, who warns Scrooge to change his ways.""The Ghost of Jacob Marley is the specter of Scrooge\'s former business partner, who warns Scrooge to change his ways.""The Ghost of Jacob Marley is the specter of Scrooge\'s former business partner, who warns Scrooge to change his ways.""The Ghost of Jacob Marley is the specter of Scrooge\'s former business partner, who warns Scrooge to change his ways."', 'source_id': 'chunk-9e3921da66da5d761ab73cd849af6c43'}> +2024-10-30 06:50:23,035 - lightrag - INFO - get_node:query:MATCH (n:`THE GHOST OF CHRISTMAS PAST`) RETURN n:result:"The Ghost of Christmas Past is a supernatural entity that allows Scrooge to revisit and reflect on his previous life experiences.""The Ghost of Christmas Past is a supernatural entity that allows Scrooge to revisit and reflect on his previous life experiences.""The Ghost of Christmas Past is a supernatural entity that allows Scrooge to revisit and reflect on his previous life experiences.""The Ghost of Christmas Past is a supernatural entity that allows Scrooge to revisit and reflect on his previous life experiences.""The Ghost of Christmas Past is a supernatural entity that shows Scrooge moments from his past, eliciting reflection and emotion.""The Ghost of Christmas Past represents Scrooge\'s history and helps him confront his former self and decisions made in life.""The Ghost of Christmas Past represents Scrooge\'s history and helps him confront his former self and decisions made in life.""The Ghost of Christmas Past represents Scrooge\'s history and helps him confront his former self and decisions made in life.""The Ghost of Christmas Past represents Scrooge\'s history and helps him confront his former self and decisions made in life.""The Ghost of Christmas Past represents Scrooge\'s history and helps him confront his former self and decisions made in life."', 'source_id': 'chunk-b2f98bc7abb0c67d4c86055c7fd72218chunk-90b95db5c53e4364a6bee36b7aa4d70f'}> +2024-10-30 06:50:23,122 - lightrag - INFO - get_node:query:MATCH (n:`THE TURKEY`) RETURN n:result:"The Turkey represents a key symbol of generosity and festivity during Christmas, as Scrooge purchases it to spread joy.""The Turkey symbolizes the generosity and festive spirit that Scrooge embraces following his transformation.""The Turkey represents a key symbol of generosity and festivity during Christmas, as Scrooge purchases it to spread joy.""The Turkey symbolizes the generosity and festive spirit that Scrooge embraces following his transformation.""The Turkey represents a key symbol of generosity and festivity during Christmas, as Scrooge purchases it to spread joy.""The Turkey symbolizes the generosity and festive spirit that Scrooge embraces following his transformation.""The Turkey represents a key symbol of generosity and festivity during Christmas, as Scrooge purchases it to spread joy.""The Turkey symbolizes the generosity and festive spirit that Scrooge embraces following his transformation.""The Turkey represents a key symbol of generosity and festivity during Christmas, as Scrooge purchases it to spread joy.""The Turkey symbolizes the generosity and festive spirit that Scrooge embraces following his transformation."', 'source_id': 'chunk-8f738cb25d60a7dab782162d9d0a25edchunk-90b95db5c53e4364a6bee36b7aa4d70f'}> +2024-10-30 06:50:23,209 - lightrag - INFO - get_node:query:MATCH (n:`MISERY'S REFUGE`) RETURN n:result: +2024-10-30 06:50:23,298 - lightrag - INFO - get_node:query:MATCH (n:`BEGGARS`) RETURN n:result: +2024-10-30 06:50:23,384 - lightrag - INFO - get_node:query:MATCH (n:`OLD JOE`) RETURN n:result:"Old Joe is a grey-haired man who runs a shop where people come to sell their belongings after a death, embodying a rough, pragmatic character.""Old Joe is a grey-haired man who runs a shop where people come to sell their belongings after a death, embodying a rough, pragmatic character.""Old Joe is a grey-haired man who runs a shop where people come to sell their belongings after a death, embodying a rough, pragmatic character.""Old Joe is a grey-haired man who runs a shop where people come to sell their belongings after a death, embodying a rough, pragmatic character.""Old Joe is a grey-haired man, nearly seventy years old, who runs a shop and conducts business in a rather nonchalant manner, showcasing a certain charm amidst his questionable dealings."', 'source_id': 'chunk-60fc063c79fc0d4acc91a57e79de04dc'}> +2024-10-30 06:50:23,474 - lightrag - INFO - get_node:query:MATCH (n:`THE THREE SPIRITS`) RETURN n:result:"The Three Spirits are the apparitions that Jacob Marley warns Scrooge about, who will visit him to guide him toward redemption.""The Three Spirits are the apparitions that Jacob Marley warns Scrooge about, who will visit him to guide him toward redemption.""The Three Spirits are the apparitions that Jacob Marley warns Scrooge about, who will visit him to guide him toward redemption.""The Three Spirits are the apparitions that Jacob Marley warns Scrooge about, who will visit him to guide him toward redemption.""The Three Spirits refer to the supernatural beings that are prophesied to visit Scrooge, each representing different aspects of time and morality."', 'source_id': 'chunk-cb661c37436355ccec2769b1d0350c5f'}> +2024-10-30 06:50:23,562 - lightrag - INFO - get_node:query:MATCH (n:`FEZZIWIG`) RETURN n:result:"Fezziwig is a character known for hosting a domestic ball that brings joy and merriment to the participants, showcasing his ability to create happiness.""Fezziwig is a joyful and lively character who dances with Mrs. Fezziwig, embodying the festive spirit of Christmas.""Fezziwig is presented as Scrooge\'s former employer, known for his jovial nature and generous spirit, who plays a significant role in Scrooge\'s memories.""Fezziwig is the owner of a business where festive celebrations take place, known for his jovial character and ability to create a lively atmosphere."Fezziwig is a character renowned for his role as a joyful and jovial employer who hosts domestic balls, creating an atmosphere filled with happiness and merriment for his participants. He is depicted as a kind-hearted figure who organizes lively Christmas festivities for his employees, exemplifying kindness and generosity. Fezziwig plays a significant role in the memories of Ebenezer Scrooge, being portrayed as his former employer who embodies the true spirit of Christmas.\n\nHe is often seen dancing with his wife, Mrs. Fezziwig, which further illustrates his cheerful nature and the festive spirit surrounding the celebrations. As the owner of a business where these vibrant festivities take place, Fezziwig is celebrated for his ability to create a lively and joyful environment, leaving a lasting impression on those who encounter him during the festive seasons. His portrayal encapsulates the essence of joy, generosity, and the festive spirit, making him a beloved character in the narrative of Scrooge\'s past."Fezziwig is a joyful and lively character who dances with Mrs. Fezziwig, embodying the festive spirit of Christmas.""Fezziwig is presented as Scrooge\'s former employer, known for his jovial nature and generous spirit, who plays a significant role in Scrooge\'s memories.""Fezziwig is the owner of a business where festive celebrations take place, known for his jovial character and ability to create a lively atmosphere."', 'source_id': 'chunk-b2f98bc7abb0c67d4c86055c7fd72218chunk-c6c248858d1b13ab7ee9ca13c1aeed6bchunk-8bc1edd983869352d14cf0886a9175a7chunk-89777b838d5447c7bd1ec11282c4ee89'}> +2024-10-30 06:50:23,651 - lightrag - INFO - get_node:query:MATCH (n:`TOPPER`) RETURN n:result:chunk-43c9bee23adfa77aa9dedd22401bba7dchunk-94bea83e7153fc2064aa382b494936a1'}> +2024-10-30 06:50:23,737 - lightrag - INFO - get_node:query:MATCH (n:`THE GHOST OF CHRISTMAS FUTURE`) RETURN n:result: +2024-10-30 06:50:23,823 - lightrag - INFO - get_node:query:MATCH (n:`DARKNESS`) RETURN n:result: +2024-10-30 06:50:23,910 - lightrag - INFO - get_node:query:MATCH (n:`THE CRATCHIT HOUSEHOLD`) RETURN n:result: +2024-10-30 06:50:23,998 - lightrag - INFO - get_node:query:MATCH (n:`THE HEAVY CHAIN`) RETURN n:result: +2024-10-30 06:50:24,087 - lightrag - INFO - get_node:query:MATCH (n:`MARTHA`) RETURN n:result:"Martha is the daughter in the Cratchit family, who makes a dramatic entrance to surprise her family, highlighting the family\'s closeness.""Martha is the daughter in the Cratchit family, who makes a dramatic entrance to surprise her family, highlighting the family\'s closeness.""Martha is the daughter in the Cratchit family, who makes a dramatic entrance to surprise her family, highlighting the family\'s closeness.""Martha is the daughter in the Cratchit family, who makes a dramatic entrance to surprise her family, highlighting the family\'s closeness.""Martha is the daughter in the Cratchit family, who makes a dramatic entrance to surprise her family, highlighting the family\'s closeness."', 'source_id': 'chunk-19d72c57ae3408758b18d2568e86dc6bchunk-7e2e7ebcc19a53b399dc03aded4743e7'}> +2024-10-30 06:50:24,173 - lightrag - INFO - get_node:query:MATCH (n:`PEOPLE`) RETURN n:result: +2024-10-30 06:50:24,269 - lightrag - INFO - get_node:query:MATCH (n:`THE DOWERLESS GIRL`) RETURN n:result: +2024-10-30 06:50:24,358 - lightrag - INFO - get_node:query:MATCH (n:`THE GHOST OF CHRISTMAS PRESENT`) RETURN n:result:"The Ghost of Christmas Present is a supernatural being that shows Scrooge the true spirit of Christmas, including kindness towards the poor.""The Ghost of Christmas Present signifies abundance and the spirit of joy that Scrooge is encouraged to embrace.""The Ghost of Christmas Present is one of the spirits that help Scrooge understand the importance of generosity and compassion during the festive season.""The Ghost of Christmas Present is one of the spirits that help Scrooge understand the importance of generosity and compassion during the festive season.""The Ghost of Christmas Present is one of the spirits that help Scrooge understand the importance of generosity and compassion during the festive season.""The Ghost of Christmas Present is one of the spirits that help Scrooge understand the importance of generosity and compassion during the festive season.""The Ghost of Christmas Present is one of the spirits that help Scrooge understand the importance of generosity and compassion during the festive season."', 'source_id': 'chunk-43c9bee23adfa77aa9dedd22401bba7dchunk-90b95db5c53e4364a6bee36b7aa4d70fchunk-b0f459f5af1c3a5e0b92cbe4ee48b77b'}> +2024-10-30 06:50:24,502 - lightrag - INFO - get_node:query:MATCH (n:`THE FATHER`) RETURN n:result:"The Father is a character who returns home and is greeted with excitement, embodying family warmth and joy during Christmas celebrations.""The Father is a character who returns home with presents, symbolizing the joy of family and the spirit of giving during Christmas.""The Father is a character who returns home and is greeted with excitement, embodying family warmth and joy during Christmas celebrations.""The Father is a character who returns home with presents, symbolizing the joy of family and the spirit of giving during Christmas.""The Father is a character who returns home and is greeted with excitement, embodying family warmth and joy during Christmas celebrations.""The Father is a character who returns home with presents, symbolizing the joy of family and the spirit of giving during Christmas.""The Father is a character who returns home and is greeted with excitement, embodying family warmth and joy during Christmas celebrations.""The Father is a character who returns home with presents, symbolizing the joy of family and the spirit of giving during Christmas.""The Father is a character who returns home and is greeted with excitement, embodying family warmth and joy during Christmas celebrations.""The Father is a character who returns home with presents, symbolizing the joy of family and the spirit of giving during Christmas."', 'source_id': 'chunk-54bdd22db1f84a965b5f4c06c9216d8dchunk-da2472b4ef2a535b62908f14d0fb0ca9'}> +2024-10-30 06:50:24,598 - lightrag - INFO - get_node:query:MATCH (n:`THE DECEASED MAN`) RETURN n:result: +2024-10-30 06:50:24,688 - lightrag - INFO - get_node:query:MATCH (n:`CHRISTMAS EVES`) RETURN n:result:"Christmas Eves refer to the time periods associated with the spirits\' visits, specifically connecting to themes of reflection and redemption during the festive season.""Christmas Eves refer to the time periods associated with the spirits\' visits, specifically connecting to themes of reflection and redemption during the festive season.""Christmas Eves refer to the time periods associated with the spirits\' visits, specifically connecting to themes of reflection and redemption during the festive season.""Christmas Eves refer to the time periods associated with the spirits\' visits, specifically connecting to themes of reflection and redemption during the festive season.""Christmas Eves refers to the recurring time periods that Marley reflects upon, indicating the weight of his past decisions leading to regret."', 'source_id': 'chunk-359187e7571bda4b0b08b2e0b6581e52'}> +2024-10-30 06:50:24,777 - lightrag - INFO - get_node:query:MATCH (n:`GRAVE`) RETURN n:result: +2024-10-30 06:50:24,864 - lightrag - INFO - get_node:query:MATCH (n:`THE FOUNDER OF THE FEAST`) RETURN n:result: +2024-10-30 06:50:24,951 - lightrag - INFO - get_node:query:MATCH (n:`THE CRATCHIT HOUSE`) RETURN n:result: +2024-10-30 06:50:25,041 - lightrag - INFO - get_node:query:MATCH (n:`FAN`) RETURN n:result:"Fan is Ebenezer Scrooge\'s sister, who represents love and kindness from Scrooge\'s past, influencing his character development.""Fan is Ebenezer Scrooge\'s sister, who represents love and kindness from Scrooge\'s past, influencing his character development.""Fan is Ebenezer Scrooge\'s sister, who represents love and kindness from Scrooge\'s past, influencing his character development.""Fan is Ebenezer Scrooge\'s sister, who represents love and kindness from Scrooge\'s past, influencing his character development.""Fan is Scrooge\'s caring sister who represents innocence and love, showcasing a more tender side of Scrooge’s past.""Fan is Scrooge\'s younger sister, who brings joy and the promise of a happier home, reflecting on their childhood relationship.""Fan is Scrooge\'s younger sister, who brings joy and the promise of a happier home, reflecting on their childhood relationship.""Fan is Scrooge\'s younger sister, who brings joy and the promise of a happier home, reflecting on their childhood relationship.""Fan is Scrooge\'s younger sister, who brings joy and the promise of a happier home, reflecting on their childhood relationship.""Fan is Scrooge\'s younger sister, who brings joy and the promise of a happier home, reflecting on their childhood relationship."', 'source_id': 'chunk-c6c248858d1b13ab7ee9ca13c1aeed6bchunk-9e3921da66da5d761ab73cd849af6c43'}> +2024-10-30 06:50:25,128 - lightrag - INFO - get_node:query:MATCH (n:`THE OFFICE`) RETURN n:result:"The Office is Scrooge\'s workplace, signifying his past life and the memories associated with his business dealings.""The Office is Scrooge\'s workplace, signifying his past life and the memories associated with his business dealings.""The Office is Scrooge\'s workplace, signifying his past life and the memories associated with his business dealings.""The Office is Scrooge\'s workplace, signifying his past life and the memories associated with his business dealings.""The Office refers to Scrooge\'s workplace, emphasizing his isolation and the business-focused nature of his life.""The Office refers to the workplace where Scrooge and Bob Cratchit interact, highlighting the power dynamics and work-related tension.""The Office refers to Scrooge\'s workplace, emphasizing his isolation and the business-focused nature of his life.""The Office refers to the workplace where Scrooge and Bob Cratchit interact, highlighting the power dynamics and work-related tension.""The Office refers to Scrooge\'s workplace, emphasizing his isolation and the business-focused nature of his life.""The Office refers to the workplace where Scrooge and Bob Cratchit interact, highlighting the power dynamics and work-related tension.""The Office refers to Scrooge\'s workplace, emphasizing his isolation and the business-focused nature of his life.""The Office refers to the workplace where Scrooge and Bob Cratchit interact, highlighting the power dynamics and work-related tension.""The Office refers to Scrooge\'s workplace, emphasizing his isolation and the business-focused nature of his life.""The Office refers to the workplace where Scrooge and Bob Cratchit interact, highlighting the power dynamics and work-related tension."', 'source_id': 'chunk-da2472b4ef2a535b62908f14d0fb0ca9chunk-91572b3cd42786ba4cb2f180ca25cbf4chunk-94bea83e7153fc2064aa382b494936a1'}> +2024-10-30 06:50:25,215 - lightrag - INFO - get_node:query:MATCH (n:`HOLLY`) RETURN n:result:"Holly is a plant associated with Christmas, mentioned among other decorations that contribute to the festive atmosphere.""Holly is a symbol held by The Ghost, representing peace and goodwill, contrasting with the cold wintry atmosphere around Scrooge.""Holly is mentioned as part of the traditional decorations associated with Christmas, symbolizing festivity.""Holly represents a traditional decoration associated with Christmas, symbolizing festivity and the presence of the Christmas spirit.""Holly is a symbol held by The Ghost, representing peace and goodwill, contrasting with the cold wintry atmosphere around Scrooge.""Holly is mentioned as part of the traditional decorations associated with Christmas, symbolizing festivity.""Holly represents a traditional decoration associated with Christmas, symbolizing festivity and the presence of the Christmas spirit.""Holly is a symbol held by The Ghost, representing peace and goodwill, contrasting with the cold wintry atmosphere around Scrooge.""Holly is mentioned as part of the traditional decorations associated with Christmas, symbolizing festivity.""Holly represents a traditional decoration associated with Christmas, symbolizing festivity and the presence of the Christmas spirit.""Holly is a symbol held by The Ghost, representing peace and goodwill, contrasting with the cold wintry atmosphere around Scrooge.""Holly is mentioned as part of the traditional decorations associated with Christmas, symbolizing festivity.""Holly represents a traditional decoration associated with Christmas, symbolizing festivity and the presence of the Christmas spirit.""Holly is a symbol held by The Ghost, representing peace and goodwill, contrasting with the cold wintry atmosphere around Scrooge.""Holly is mentioned as part of the traditional decorations associated with Christmas, symbolizing festivity.""Holly represents a traditional decoration associated with Christmas, symbolizing festivity and the presence of the Christmas spirit."', 'source_id': 'chunk-c7b10789a9cb0af6c553730b29bd9034chunk-99b0ec7f7e006561352b5d65e849611dchunk-843b5b2f944c7413d9ca876e2e2f151f'}> +2024-10-30 06:50:25,303 - lightrag - INFO - get_node:query:MATCH (n:`DICK`) RETURN n:result:"Dick is associated with Scrooge\'s former self, evoking nostalgic memories as Scrooge witnesses the past.""Dick is associated with Scrooge\'s former self, evoking nostalgic memories as Scrooge witnesses the past.""Dick is associated with Scrooge\'s former self, evoking nostalgic memories as Scrooge witnesses the past.""Dick is associated with Scrooge\'s former self, evoking nostalgic memories as Scrooge witnesses the past.""Dick is associated with Scrooge\'s former self, evoking nostalgic memories as Scrooge witnesses the past."', 'source_id': 'chunk-b2f98bc7abb0c67d4c86055c7fd72218'}> +2024-10-30 06:50:25,391 - lightrag - INFO - get_node:query:MATCH (n:`THE GROCERS`) RETURN n:result: +2024-10-30 06:50:25,478 - lightrag - INFO - get_node:query:MATCH (n:`TIM`) RETURN n:result: +2024-10-30 06:50:25,564 - lightrag - INFO - get_node:query:MATCH (n:`GHOST OF CHRISTMAS PAST`) RETURN n:result:"The Ghost of Christmas Past is a supernatural entity that aids Scrooge in reflecting on his past experiences and emotions.""The Ghost of Christmas Past is one of the spirits in A Christmas Carol that shows Scrooge his past, prompting reflection and change.""The Ghost of Christmas Past represents a spirit that guides Scrooge to revisit and reflect on his past experiences and memories.""The Ghost of Christmas Past is one of the spirits in A Christmas Carol that shows Scrooge his past, prompting reflection and change.""The Ghost of Christmas Past represents a spirit that guides Scrooge to revisit and reflect on his past experiences and memories.""The Ghost of Christmas Past is one of the spirits in A Christmas Carol that shows Scrooge his past, prompting reflection and change.""The Ghost of Christmas Past represents a spirit that guides Scrooge to revisit and reflect on his past experiences and memories.""The Ghost of Christmas Past is one of the spirits in A Christmas Carol that shows Scrooge his past, prompting reflection and change.""The Ghost of Christmas Past represents a spirit that guides Scrooge to revisit and reflect on his past experiences and memories.""The Ghost of Christmas Past is one of the spirits in A Christmas Carol that shows Scrooge his past, prompting reflection and change.""The Ghost of Christmas Past represents a spirit that guides Scrooge to revisit and reflect on his past experiences and memories."', 'source_id': 'chunk-9e3921da66da5d761ab73cd849af6c43chunk-bb21d58d36c6306fd8810ddd51c4a971'}> +2024-10-30 06:50:25,650 - lightrag - INFO - get_node:query:MATCH (n:`TURKEYS`) RETURN n:result:"Turkeys represent a common food item associated with the Christmas feast, highlighting the culinary aspects of the celebration.""Turkeys are food items prominently featured in Christmas meals, representing a festive celebration of the holiday.""Turkeys are part of the Christmas feast, symbolizing the abundance and sharing associated with the holiday.""Turkeys are food items prominently featured in Christmas meals, representing a festive celebration of the holiday.""Turkeys are part of the Christmas feast, symbolizing the abundance and sharing associated with the holiday.""Turkeys are food items prominently featured in Christmas meals, representing a festive celebration of the holiday.""Turkeys are part of the Christmas feast, symbolizing the abundance and sharing associated with the holiday.""Turkeys are food items prominently featured in Christmas meals, representing a festive celebration of the holiday.""Turkeys are part of the Christmas feast, symbolizing the abundance and sharing associated with the holiday.""Turkeys are food items prominently featured in Christmas meals, representing a festive celebration of the holiday.""Turkeys are part of the Christmas feast, symbolizing the abundance and sharing associated with the holiday."', 'source_id': 'chunk-99b0ec7f7e006561352b5d65e849611dchunk-843b5b2f944c7413d9ca876e2e2f151f'}> +2024-10-30 06:50:25,738 - lightrag - INFO - get_node:query:MATCH (n:`CHILDREN`) RETURN n:result:"Children represent innocence and joy, often seen as seeking affection and connection with adults like Scrooge.""Children represent innocence and joy, often seen as seeking affection and connection with adults like Scrooge.""Children represent innocence and joy, often seen as seeking affection and connection with adults like Scrooge.""Children represent innocence and joy, often seen as seeking affection and connection with adults like Scrooge.""The Children represent innocence and purity, highlighted as victims of societal neglect and calling for compassion from Scrooge.""The Children represent the joyful, carefree aspects of Scrooge\'s past, embodying happiness and the innocence of youth that he has long forgotten.""The Children represent innocence and the impact of societal neglect, embodied by Ignorance and Want as personified by the Spirit.""The Children represent innocence and the impact of societal neglect, embodied by Ignorance and Want as personified by the Spirit.""The Children represent innocence and the impact of societal neglect, embodied by Ignorance and Want as personified by the Spirit.""The Children represent innocence and the impact of societal neglect, embodied by Ignorance and Want as personified by the Spirit.""The Children represent innocence and the impact of societal neglect, embodied by Ignorance and Want as personified by the Spirit."', 'source_id': 'chunk-bb21d58d36c6306fd8810ddd51c4a971chunk-74e2466de2f67fd710ef2f20c0a8d9e0chunk-e7637ff18c5ded77a68cce0a87883fad'}> +2024-10-30 06:50:25,824 - lightrag - INFO - get_node:query:MATCH (n:`DICK WILKINS`) RETURN n:result:"Dick Wilkins is Scrooge\'s fellow apprentice and close companion during his younger years, indicating camaraderie during their apprenticeship.""Dick Wilkins is Scrooge\'s fellow apprentice, associated with Scrooge\'s past and the context of his earlier, more carefree life.""Dick Wilkins is a former apprentice of Scrooge, remembered fondly for his attachment to Scrooge.""Dick Wilkins is Scrooge\'s fellow apprentice, associated with Scrooge\'s past and the context of his earlier, more carefree life.""Dick Wilkins is a former apprentice of Scrooge, remembered fondly for his attachment to Scrooge.""Dick Wilkins is Scrooge\'s fellow apprentice, associated with Scrooge\'s past and the context of his earlier, more carefree life.""Dick Wilkins is a former apprentice of Scrooge, remembered fondly for his attachment to Scrooge.""Dick Wilkins is Scrooge\'s fellow apprentice, associated with Scrooge\'s past and the context of his earlier, more carefree life.""Dick Wilkins is a former apprentice of Scrooge, remembered fondly for his attachment to Scrooge.""Dick Wilkins is Scrooge\'s fellow apprentice, associated with Scrooge\'s past and the context of his earlier, more carefree life.""Dick Wilkins is a former apprentice of Scrooge, remembered fondly for his attachment to Scrooge."', 'source_id': 'chunk-c6c248858d1b13ab7ee9ca13c1aeed6bchunk-8bc1edd983869352d14cf0886a9175a7'}> +2024-10-30 06:50:25,910 - lightrag - INFO - get_node:query:MATCH (n:`SPIRIT`) RETURN n:result:"The Spirit represents a ghostly figure guiding Scrooge through reflections related to a death, illustrating lessons about life and mortality.""The Spirit represents a supernatural being guiding Scrooge through lessons about the consequences of his actions and the future.""The Spirit represents a supernatural entity guiding Scrooge and teaching him lessons about compassion and humanity."The "Spirit" represents a multifaceted supernatural entity that plays a crucial role in guiding Ebenezer Scrooge through profound reflections on his life, death, and human emotions. Central to the narrative is the Spirit\'s embodiment of the essence of Marley, which interacts with Scrooge to highlight themes related to the afterlife and unresolved issues. The Spirit manifests as various figures, most notably the Ghost of Christmas Present, who personifies the themes of generosity, merriment, and the true spirit of the Christmas season.\n\nThroughout Scrooge\'s journey, the Spirit serves as a guide, leading him through memories of his past, reflecting his former self and the influence of time on his character. The entity illustrates important lessons about compassion, social responsibility, and the consequences of his actions, urging Scrooge to confront societal issues and fostering self-awareness.\n\nThe Spirit also emphasizes the somber aspects of life, illustrating lessons about mortality and the inevitability of death, prompting Scrooge to reflect on the implications of his life choices. Overall, the Spirit encapsulates the intersection of compassion, humanity, and the moral lessons inherent in the experience of life, serving as a catalyst for Scrooge\'s transformation and awakening.', 'source_id': 'chunk-e7637ff18c5ded77a68cce0a87883fadchunk-02baee20cc9463dbe08170a8e1043e32chunk-1aa50206d02ed89418f65f97c6441d1cchunk-83ac129dc9b56f84c46760d153d68e93chunk-843b5b2f944c7413d9ca876e2e2f151fchunk-bb21d58d36c6306fd8810ddd51c4a971'}> +2024-10-30 06:50:25,999 - lightrag - INFO - get_node:query:MATCH (n:`GHOST OF CHRISTMAS PRESENT`) RETURN n:result:"The Ghost of Christmas Present is a spirit that reveals to Scrooge the joys and struggles of the present Christmas season, emphasizing generosity and compassion.""The Ghost of Christmas Present is a spirit that represents generosity and joy, playing a pivotal role in teaching Scrooge valuable lessons about kindness and the Christmas spirit.""The Ghost of Christmas Present is a spirit that reveals the current struggles and joys of others, influencing Scrooge\'s perspective.""The Ghost of Christmas Present is a spirit that represents generosity and joy, playing a pivotal role in teaching Scrooge valuable lessons about kindness and the Christmas spirit.""The Ghost of Christmas Present is a spirit that reveals the current struggles and joys of others, influencing Scrooge\'s perspective.""The Ghost of Christmas Present is a spirit that represents generosity and joy, playing a pivotal role in teaching Scrooge valuable lessons about kindness and the Christmas spirit.""The Ghost of Christmas Present is a spirit that reveals the current struggles and joys of others, influencing Scrooge\'s perspective.""The Ghost of Christmas Present is a spirit that represents generosity and joy, playing a pivotal role in teaching Scrooge valuable lessons about kindness and the Christmas spirit.""The Ghost of Christmas Present is a spirit that reveals the current struggles and joys of others, influencing Scrooge\'s perspective.""The Ghost of Christmas Present is a spirit that represents generosity and joy, playing a pivotal role in teaching Scrooge valuable lessons about kindness and the Christmas spirit.""The Ghost of Christmas Present is a spirit that reveals the current struggles and joys of others, influencing Scrooge\'s perspective."', 'source_id': 'chunk-843b5b2f944c7413d9ca876e2e2f151fchunk-9e3921da66da5d761ab73cd849af6c43'}> +2024-10-30 06:50:36,502 - lightrag - INFO - get_edge:query: + MATCH (start:`GHOST`)-[r]->(end:`SCROOGE`) + RETURN properties(r) as edge_properties + LIMIT 1 + :result:{'keywords': '"moral lesson, reflection""reflection, self-discovery""spiritual guidance, transformation"', 'weight': 26.0, 'description': '"Scrooge interacts directly with the Ghost, who aims to teach him about the errors of his ways and the importance of caring for others.""The Ghost guides Scrooge through reflections of his past, influencing his journey toward redemption.""The Ghost takes Scrooge on a journey to teach him lessons about generosity and compassion towards others."', 'source_id': 'chunk-359187e7571bda4b0b08b2e0b6581e52chunk-c6c248858d1b13ab7ee9ca13c1aeed6bchunk-e7637ff18c5ded77a68cce0a87883fad'} +2024-10-30 06:50:36,594 - lightrag - INFO - get_edge:query: + MATCH (start:`SCROOGE`)-[r]->(end:`THE TURKEY`) + RETURN properties(r) as edge_properties + LIMIT 1 + :result:{'keywords': '"generosity, celebration"', 'weight': 7.0, 'description': '"Scrooge expresses joy and excitement about the turkey he plans to send, highlighting his generous transformation."', 'source_id': 'chunk-8f738cb25d60a7dab782162d9d0a25ed'} +2024-10-30 06:50:36,690 - lightrag - INFO - get_edge:query: + MATCH (start:`SCROOGE`)-[r]->(end:`THE PRESENT`) + RETURN properties(r) as edge_properties + LIMIT 1 + :result:{'keywords': '"change, awareness"', 'weight': 9.0, 'description': '"Scrooge emphasizes the importance of living fully in The Present to change his fate going forward."', 'source_id': 'chunk-91572b3cd42786ba4cb2f180ca25cbf4'} +2024-10-30 06:50:36,785 - lightrag - INFO - get_edge:query: + MATCH (start:`LITTLE FAN`)-[r]->(end:`SCROOGE`) + RETURN properties(r) as edge_properties + LIMIT 1 + :result:{'keywords': '"family, nostalgia"', 'weight': 9.0, 'description': '"Little Fan\'s joyful visit emphasizes family love and the nostalgic warmth of childhood memories for Scrooge."', 'source_id': 'chunk-c6c248858d1b13ab7ee9ca13c1aeed6b'} +2024-10-30 06:50:36,886 - lightrag - INFO - get_edge:query: + MATCH (start:`ALMSHOUSE`)-[r]->(end:`SPIRIT`) + RETURN properties(r) as edge_properties + LIMIT 1 + :result:{'keywords': '"social critique, awareness"', 'weight': 9.0, 'description': '"The Spirit shows Scrooge the Almshouse to illustrate the plight of the poor and the societal neglect present during the holiday season."', 'source_id': 'chunk-e7637ff18c5ded77a68cce0a87883fad'} +2024-10-30 06:50:36,978 - lightrag - INFO - get_edge:query: + MATCH (start:`HOPE`)-[r]->(end:`THE COMELY MATRON`) + RETURN properties(r) as edge_properties + LIMIT 1 + :result:{'keywords': '"hope, family love"', 'weight': 16.0, 'description': '"The Comely Matron represents the hope for a joyful and fulfilling family life, enhancing the themes of love and connection."', 'source_id': 'chunk-54bdd22db1f84a965b5f4c06c9216d8d'} +2024-10-30 06:50:37,069 - lightrag - INFO - get_edge:query: + MATCH (start:`CHRISTMAS`)-[r]->(end:`THE GROCERS`) + RETURN properties(r) as edge_properties + LIMIT 1 + :result:{'keywords': '"community engagement, festive spirit"', 'weight': 9.0, 'description': '"The Grocers contribute to the festive Christmas atmosphere by providing goods and serving eager customers."', 'source_id': 'chunk-99b0ec7f7e006561352b5d65e849611d'} +2024-10-30 06:50:37,161 - lightrag - INFO - get_edge:query: + MATCH (start:`SCROOGE`)-[r]->(end:`THE SPIRITS`) + RETURN properties(r) as edge_properties + LIMIT 1 + :result:{'keywords': '"redemption, guidance"', 'weight': 9.0, 'description': '"The Spirits embody the lessons Scrooge must learn to change his life and embrace kindness."', 'source_id': 'chunk-90b95db5c53e4364a6bee36b7aa4d70f'} +2024-10-30 06:50:37,259 - lightrag - INFO - get_edge:query: + MATCH (start:`BOB CRATCHIT`)-[r]->(end:`TINY TIM`) + RETURN properties(r) as edge_properties + LIMIT 1 + :result:{'keywords': '"family bond, care""family bond, father-son relationship""family bond, love""family love, vulnerability""family, care""family, caregiving""family, love struggles""family, struggle""family, support""father-son bond, care""father-son relationship, care""parental love, sorrow""parenting, hope"', 'weight': 119.0, 'description': '"Bob Cratchit deeply cares for Tiny Tim, demonstrating emotional support and love, especially in moments of distress.""Bob Cratchit expresses love and concern for his son Tiny Tim during the Christmas dinner, highlighting a strong familial bond.""Bob Cratchit is Tiny Tim\'s father, and the turkey Scrooge plans to send will impact Tiny Tim\'s well-being.""Bob Cratchit is Tiny Tim\'s father, and their relationship highlights the theme of family struggle and love, especially during Christmas.""Bob Cratchit shows deep care for Tiny Tim, helping him and expressing pride in his strength and character despite challenges.""Bob Cratchit\'s concern for Tiny Tim illustrates the deep familial love and the challenges facing the Cratchit family.""Bob Cratchit is a father figure to Tiny Tim, who carries both hope and concern for his child\'s future health and well-being.""Bob Cratchit is the father of Tiny Tim, showcasing familial love and challenges faced by the Cratchit family.""Bob Cratchit is the father of Tiny Tim, showing the importance of family dynamics and care in their lives.""Bob Cratchit shows affection for Tiny Tim, often expressing concern for his health and trying to keep him close during the Christmas celebration.""Bob Cratchit shows deep care for Tiny Tim, supporting him and expressing pride in his resilience, especially regarding Tiny Tim\'s reflective thoughts on Christmas.""Bob Cratchit shows deep concern and love for his son, Tiny Tim, highlighting the family dynamics and attachment in their household.""Bob Cratchit shows deep love and sorrow for Tiny Tim, reflecting a father\'s bond with his child.""Bob is the father of Tiny Tim, who requires support and care, emphasizing themes of family and responsibility."', 'source_id': 'chunk-90b95db5c53e4364a6bee36b7aa4d70fchunk-503f0bfa5453467c7c61d160a3540ecachunk-91572b3cd42786ba4cb2f180ca25cbf4chunk-9e3921da66da5d761ab73cd849af6c43chunk-94bea83e7153fc2064aa382b494936a1chunk-83ac129dc9b56f84c46760d153d68e93chunk-7e2e7ebcc19a53b399dc03aded4743e7chunk-1d4b58de5429cd1261370c231c8673e8'} +2024-10-30 06:50:37,354 - lightrag - INFO - get_edge:query: + MATCH (start:`GHOST OF CHRISTMAS PAST`)-[r]->(end:`SCROOGE`) + RETURN properties(r) as edge_properties + LIMIT 1 + :result:{'keywords': '"reflection, guidance""reflection, past influence""reflection, transformation"', 'weight': 25.0, 'description': '"Scrooge engages with the Ghost of Christmas Past to explore and reflect on his life and choices.""Scrooge engages with the Ghost of Christmas Past to explore his earlier life, seeking insight into his current state.""The Ghost of Christmas Past shows Scrooge experiences from his life that prompt his transformation."', 'source_id': 'chunk-9e3921da66da5d761ab73cd849af6c43chunk-bb21d58d36c6306fd8810ddd51c4a971'} +2024-10-30 06:50:37,448 - lightrag - INFO - get_edge:query: + MATCH (start:`CHRISTMAS`)-[r]->(end:`THE MANSION HOUSE`) + RETURN properties(r) as edge_properties + LIMIT 1 + :result:{'keywords': '"festivities, governance"', 'weight': 7.0, 'description': '"The Mansion House is referenced in the context of Christmas celebrations, illustrating its role in festive festivities and governance."', 'source_id': 'chunk-90d5764e301321c087f5a8f78b73a145'} +2024-10-30 06:50:37,541 - lightrag - INFO - get_edge:query: + MATCH (start:`GRAVE`)-[r]->(end:`SCROOGE`) + RETURN properties(r) as edge_properties + LIMIT 1 + :result:{'keywords': '"mortality, reflection"', 'weight': 20.0, 'description': '"Scrooge is confronted with his own grave, symbolizing the ultimate outcome of his current lifestyle and actions."', 'source_id': 'chunk-91572b3cd42786ba4cb2f180ca25cbf4'} +2024-10-30 06:50:37,636 - lightrag - INFO - get_edge:query: + MATCH (start:`MARLEY`)-[r]->(end:`SCROOGE AND MARLEY'S`) + RETURN properties(r) as edge_properties + LIMIT 1 + :result:{'keywords': '"partnership, legacy"', 'weight': 12.0, 'description': '"Scrooge and Marley\'s is the business associated with Marley, emphasizing its history and the weight of Marley\'s legacy in shaping Scrooge\'s character."', 'source_id': 'chunk-5dac41b3f9eeaf794f0147400b1718cd'} +2024-10-30 06:50:37,732 - lightrag - INFO - get_edge:query: + MATCH (start:`SCROOGE`)-[r]->(end:`THE GRATE`) + RETURN properties(r) as edge_properties + LIMIT 1 + :result:{'keywords': '"coldness, minimalism""isolation, setting mood"', 'weight': 12.0, 'description': '"Scrooge\'s small fire in The Grate represents his need for warmth and symbolizes his cold heart initially showing longing for comfort.""The Grate\'s cold fire adds to the bleak setting of Scrooge\'s home, illustrating his disconnection from warmth and comfort before the supernatural events unfold."', 'source_id': 'chunk-9c43dac2fcd5b578242d907ea6f8fc7b'} +2024-10-30 06:50:37,824 - lightrag - INFO - get_edge:query: + MATCH (start:`SCROOGE`)-[r]->(end:`THE DYING FLAME`) + RETURN properties(r) as edge_properties + LIMIT 1 + :result:{'keywords': '"fear, conflict"', 'weight': 16.0, 'description': '"The Dying Flame\'s flickering is reflective of Scrooge\'s fear and mental state in the presence of the ghost, amplifying his internal conflict."', 'source_id': 'chunk-9c43dac2fcd5b578242d907ea6f8fc7b'} +2024-10-30 06:50:37,918 - lightrag - INFO - get_edge:query: + MATCH (start:`CAROLINE`)-[r]->(end:`THE HUSBAND`) + RETURN properties(r) as edge_properties + LIMIT 1 + :result:{'keywords': '"communication, emotional burden"', 'weight': 14.0, 'description': '"The Husband and Caroline\'s conversation illustrates the tension between optimism and the reality of their situation after receiving distressing news."', 'source_id': 'chunk-83ac129dc9b56f84c46760d153d68e93'} +2024-10-30 06:50:38,009 - lightrag - INFO - get_edge:query: + MATCH (start:`CHRISTMAS EVES`)-[r]->(end:`SCROOGE`) + RETURN properties(r) as edge_properties + LIMIT 1 + :result:{'keywords': '"time of reflection, redemption"', 'weight': 14.0, 'description': '"Christmas Eves symbolize a critical time for self-reflection and understanding one\'s past decisions, linking to Scrooge\'s journey of redemption."', 'source_id': 'chunk-359187e7571bda4b0b08b2e0b6581e52'} +2024-10-30 06:50:38,098 - lightrag - INFO - get_edge:query: + MATCH (start:`BOB CRATCHIT`)-[r]->(end:`THE CRATCHIT HOUSEHOLD`) + RETURN properties(r) as edge_properties + LIMIT 1 + :result:{'keywords': '"family, support"', 'weight': 16.0, 'description': '"Bob Cratchit leads his family, representing resilience and love in the face of hardship, which is celebrated by the Spirit."', 'source_id': 'chunk-b0f459f5af1c3a5e0b92cbe4ee48b77b'} +2024-10-30 06:50:38,190 - lightrag - INFO - get_edge:query: + MATCH (start:`BOB CRATCHIT`)-[r]->(end:`SPIRIT OF CHRISTMAS PRESENT`) + RETURN properties(r) as edge_properties + LIMIT 1 + :result:{'keywords': '"blessing, compassion"', 'weight': 18.0, 'description': '"The Spirit blesses Bob Cratchit’s dwelling, symbolizing the recognition of the Cratchit family\'s struggles and joys on Christmas Day."', 'source_id': 'chunk-b0f459f5af1c3a5e0b92cbe4ee48b77b'} +2024-10-30 06:50:38,280 - lightrag - INFO - get_edge:query: + MATCH (start:`THE CANDLE`)-[r]->(end:`THE FOG AND FROST`) + RETURN properties(r) as edge_properties + LIMIT 1 + :result:{'keywords': '"hope, contrast"', 'weight': 12.0, 'description': '"The Candle symbolizes a flicker of warmth and hope in the bleak setting of Fog and Frost, contrasting the overall atmosphere."', 'source_id': 'chunk-d9aac3484185ac66045df92214d245d5'} +2024-10-30 06:50:38,377 - lightrag - INFO - get_edge:query: + MATCH (start:`CHRISTMAS`)-[r]->(end:`THE GHOST`) + RETURN properties(r) as edge_properties + LIMIT 1 + :result:{'keywords': '"spiritual guide, thematic connection"', 'weight': 8.0, 'description': '"The Ghosts represent the essence of Christmas, highlighting the themes of generosity and change during this festive time."', 'source_id': 'chunk-02baee20cc9463dbe08170a8e1043e32'} +2024-10-30 06:50:38,475 - lightrag - INFO - get_edge:query: + MATCH (start:`BOB`)-[r]->(end:`SCROOGE`) + RETURN properties(r) as edge_properties + LIMIT 1 + :result:{'keywords': '"humor, generosity"', 'weight': 6.0, 'description': '"Scrooge makes a humorous comment about sending a large turkey to Bob, indicating a lighthearted relationship."', 'source_id': 'chunk-8f738cb25d60a7dab782162d9d0a25ed'} +2024-10-30 06:50:38,573 - lightrag - INFO - get_edge:query: + MATCH (start:`FEZZIWIG`)-[r]->(end:`SCROOGE`) + RETURN properties(r) as edge_properties + LIMIT 1 + :result:{'keywords': '"contrast, character foil""kindness, mentorship""mentor figure, positive influence""nostalgia, contrast""reflection, influence"', 'weight': 43.0, 'description': '"Fezziwig is a significant figure in Scrooge\'s past, illustrating a contrast between Scrooge\'s current miserly demeanor and Fezziwig\'s jovial nature.""Fezziwig represents the joyful side of business and celebration, contrasting with Scrooge\'s miserly nature and serving as a foil to Scrooge\'s character development.""Scrooge reflects positively on Fezziwig\'s past actions, acknowledging the happiness and gratitude he inspired in people.""Scrooge reminisces about Fezziwig\'s kindness during his apprenticeship, comparing his past self to his current state.""Scrooge reminisces about Fezziwig\'s ball, reflecting on the contrast between his past happiness and present isolation."', 'source_id': 'chunk-b2f98bc7abb0c67d4c86055c7fd72218chunk-c6c248858d1b13ab7ee9ca13c1aeed6bchunk-89777b838d5447c7bd1ec11282c4ee89'} +2024-10-30 06:50:38,668 - lightrag - INFO - get_edge:query: + MATCH (start:`GHOST OF CHRISTMAS PRESENT`)-[r]->(end:`SCROOGE`) + RETURN properties(r) as edge_properties + LIMIT 1 + :result:{'keywords': '"awareness, compassion""transformation, guidance""transformation, mentoring"', 'weight': 27.0, 'description': '"Scrooge interacts directly with the Ghost of Christmas Present, who guides him in understanding the importance of generosity and joy during Christmas.""Scrooge is led by the Ghost of Christmas Present, who teaches him valuable lessons about generosity and compassion.""The Ghost of Christmas Present reveals the realities of others\' lives, influencing Scrooge\'s understanding of generosity and compassion."', 'source_id': 'chunk-843b5b2f944c7413d9ca876e2e2f151fchunk-9e3921da66da5d761ab73cd849af6c43'} +2024-10-30 06:50:38,760 - lightrag - INFO - get_edge:query: + MATCH (start:`SCROOGE`)-[r]->(end:`SPIRIT`) + RETURN properties(r) as edge_properties + LIMIT 1 + :result:{'keywords': '"guidance, emotional journey""guidance, personal growth""guidance, reflection""guidance, transformation""personal growth, spiritual journey""reflection, guidance""transformation, mentorship"', 'weight': 74.0, 'description': '"Scrooge engages with the Spirit, who guides him through reflections on his life and warns him of societal issues.""Scrooge learns from the Spirit about the consequences of his actions and the sentiments evoked by death, leading to personal growth.""Scrooge’s interaction with the Spirit emphasizes the emotional weight of his past decisions and feelings as they relate to his transformation.""The Spirit directly influences Scrooge’s transformation and highlights the importance of compassion in human life.""Scrooge interacts with the Spirit, who has come to teach him about the meaning of Christmas and share lessons of generosity.""Scrooge is guided by the Spirit to reflect on the impact of death, learning important lessons about life and legacy.""Scrooge is guided by the Spirit, who prompts him to reflect on his life and its consequences.""Scrooge\'s interactions with the Spirit serve to illuminate his past and its influence on his current self.""The Spirit serves as a guide for Scrooge, showing him visions that lead to his personal transformation and moral awakening."', 'source_id': 'chunk-e7637ff18c5ded77a68cce0a87883fadchunk-02baee20cc9463dbe08170a8e1043e32chunk-83ac129dc9b56f84c46760d153d68e93chunk-843b5b2f944c7413d9ca876e2e2f151fchunk-bb21d58d36c6306fd8810ddd51c4a971'} +2024-10-30 06:50:38,851 - lightrag - INFO - get_edge:query: + MATCH (start:`SCROOGE`)-[r]->(end:`THE BOY`) + RETURN properties(r) as edge_properties + LIMIT 1 + :result:{'keywords': '"generosity, kindness""innocence, dialogue"', 'weight': 15.0, 'description': '"Scrooge interacts with The Boy to deliver the turkey, showing a newfound generosity and connection to others.""The Boy engages in a conversation with Scrooge, representing innocence and serving as a link to Scrooge\'s act of kindness."', 'source_id': 'chunk-8f738cb25d60a7dab782162d9d0a25edchunk-90b95db5c53e4364a6bee36b7aa4d70f'} +2024-10-30 06:50:38,943 - lightrag - INFO - get_edge:query: + MATCH (start:`SCROOGE`)-[r]->(end:`THE GHOST`) + RETURN properties(r) as edge_properties + LIMIT 1 + :result:{'keywords': '"guidance, emotional exploration""guidance, transformation""memory, influence""rebuke, self-discovery""reflection, guidance""self-reflection, transformation""supernatural encounter, confusion""supernatural guidance, transformation""supernatural interaction, past actions"', 'weight': 78.0, 'description': '"Scrooge interacts with The Ghost of Jacob Marley, which highlights his struggle with the supernatural and his past actions.""Scrooge\'s engagement with The Ghost prompts a significant emotional and psychological transformation as he confronts his past.""The Ghost guides Scrooge through visions of his past, forcing him to confront his choices and their consequences.""The Ghost influences Scrooge\'s reflections on his past and his current emotions regarding Christmas festivities.""The Ghost serves as a catalyst for Scrooge\'s reflections, guiding him to confront his past and feelings about Christmas.""Scrooge\'s interaction with The Ghost leads to significant inner turmoil and contemplation about dreams and reality.""The Ghost influences Scrooge\'s journey by revealing his past, driving the narrative of his redemption.""The Ghost interacts with Scrooge, revealing truths that challenge his perspective on life and death.""The Ghost prompts Scrooge to remember significant moments, driving his emotional exploration of the past."', 'source_id': 'chunk-c7b10789a9cb0af6c553730b29bd9034chunk-43c9bee23adfa77aa9dedd22401bba7dchunk-da2472b4ef2a535b62908f14d0fb0ca9chunk-cb661c37436355ccec2769b1d0350c5fchunk-54bdd22db1f84a965b5f4c06c9216d8dchunk-8590d9263cd2cd4fa583c432fc54e6c3chunk-83ac129dc9b56f84c46760d153d68e93'} +2024-10-30 06:50:39,038 - lightrag - INFO - get_edge:query: + MATCH (start:`THE CRATCHIT FAMILY`)-[r]->(end:`TINY TIM`) + RETURN properties(r) as edge_properties + LIMIT 1 + :result:{'keywords': '"family unity, hope"', 'weight': 18.0, 'description': '"Tiny Tim is an integral part of the Cratchit family, embodying their hopes and joys during the Christmas festivities."', 'source_id': 'chunk-19d72c57ae3408758b18d2568e86dc6b'} +2024-10-30 06:50:39,130 - lightrag - INFO - get_edge:query: + MATCH (start:`SCROOGE`)-[r]->(end:`THE GHOST OF CHRISTMAS PAST`) + RETURN properties(r) as edge_properties + LIMIT 1 + :result:{'keywords': '"introspection, memory""reflection, guidance""self-reflection, guidance"', 'weight': 28.0, 'description': '"Scrooge\'s interaction with the Ghost of Christmas Past highlights his journey of self-reflection and struggle with his past decisions.""The Ghost of Christmas Past guides Scrooge through recollections, prompting his introspection about his former self and choices.""The Ghost of Christmas Past helps Scrooge reflect on his past choices, which is crucial for his transformation."', 'source_id': 'chunk-b2f98bc7abb0c67d4c86055c7fd72218chunk-90b95db5c53e4364a6bee36b7aa4d70f'} +2024-10-30 06:50:39,222 - lightrag - INFO - get_edge:query: + MATCH (start:`HAPPINESS`)-[r]->(end:`THE BEAUTIFUL YOUNG GIRL`) + RETURN properties(r) as edge_properties + LIMIT 1 + :result:{'keywords': '"lost happiness, longing"', 'weight': 14.0, 'description': '"The Beautiful Young Girl embodies the happiness that Scrooge once sought and now feels he has lost."', 'source_id': 'chunk-54bdd22db1f84a965b5f4c06c9216d8d'} +2024-10-30 06:50:39,316 - lightrag - INFO - get_edge:query: + MATCH (start:`EBENEZER SCROOGE`)-[r]->(end:`TINY TIM`) + RETURN properties(r) as edge_properties + LIMIT 1 + :result:{'keywords': '"redemption, compassion"', 'weight': 9.0, 'description': '"Ebenezer Scrooge, through his interactions with Tiny Tim, learns about compassion and the importance of family and community."', 'source_id': 'chunk-9e3921da66da5d761ab73cd849af6c43'} +2024-10-30 06:50:39,415 - lightrag - INFO - get_edge:query: + MATCH (start:`SCROOGE`)-[r]->(end:`THE GENTLEMEN`) + RETURN properties(r) as edge_properties + LIMIT 1 + :result:{'keywords': '"charity, social responsibility"', 'weight': 16.0, 'description': '"The Gentlemen approach Scrooge about donations for the poor, representing a charitable campaign that he strongly resists."', 'source_id': 'chunk-5dac41b3f9eeaf794f0147400b1718cd'} +2024-10-30 06:50:39,508 - lightrag - INFO - get_edge:query: + MATCH (start:`SCROOGE`)-[r]->(end:`THE PHANTOM VOICES`) + RETURN properties(r) as edge_properties + LIMIT 1 + :result:{'keywords': '"regret, lost opportunities"', 'weight': 12.0, 'description': '"Scrooge hears the lamentations of The Phantom Voices, reflecting his connection to the spirits of the lost and the consequences of his life choices."', 'source_id': 'chunk-cb661c37436355ccec2769b1d0350c5f'} +2024-10-30 06:50:39,601 - lightrag - INFO - get_edge:query: + MATCH (start:`DICK WILKINS`)-[r]->(end:`SCROOGE`) + RETURN properties(r) as edge_properties + LIMIT 1 + :result:{'keywords': '"friendship, apprenticeship""shared history, transformation"', 'weight': 14.0, 'description': '"Scrooge and Dick Wilkins share memories of their apprenticeship, highlighting Scrooge\'s transformation from a young man to his current state.""Scrooge recalls his friendship with Dick Wilkins, highlighting the connections of youth and support during their apprenticeship."', 'source_id': 'chunk-c6c248858d1b13ab7ee9ca13c1aeed6b'} +2024-10-30 06:50:39,694 - lightrag - INFO - get_edge:query: + MATCH (start:`DINNER`)-[r]->(end:`SCROOGE'S NEPHEW`) + RETURN properties(r) as edge_properties + LIMIT 1 + :result:{'keywords': '"family, celebration"', 'weight': 18.0, 'description': '"Scrooge\'s Nephew emphasizes the pleasure of sharing Dinner with loved ones, highlighting the importance of family connections during holiday gatherings."', 'source_id': 'chunk-773d0df1dd25c356f7b771d780583e09'} +2024-10-30 06:50:39,790 - lightrag - INFO - get_edge:query: + MATCH (start:`BOB CRATCHIT`)-[r]->(end:`MASTER PETER`) + RETURN properties(r) as edge_properties + LIMIT 1 + :result:{'keywords': '"aspiration, family support"', 'weight': 6.0, 'description': '"Bob Cratchit is considering job opportunities for Master Peter, reflecting the family\'s aspirations and hopes for betterment."', 'source_id': 'chunk-19d72c57ae3408758b18d2568e86dc6b'} +2024-10-30 06:50:39,885 - lightrag - INFO - get_edge:query: + MATCH (start:`SCROOGE`)-[r]->(end:`THE FUNERAL`) + RETURN properties(r) as edge_properties + LIMIT 1 + :result:{'keywords': '"business, emotional detachment"', 'weight': 7.0, 'description': '"Scrooge treats The Funeral as a business transaction, showing his cold approach to personal loss and death."', 'source_id': 'chunk-89777b838d5447c7bd1ec11282c4ee89'} +2024-10-30 06:50:39,980 - lightrag - INFO - get_edge:query: + MATCH (start:`SCROOGE`)-[r]->(end:`STREET`) + RETURN properties(r) as edge_properties + LIMIT 1 + :result:{'keywords': '"observation, societal critique"', 'weight': 7.0, 'description': '"Scrooge observes the Street\'s inhabitants and their interactions, reflecting on his own status and societal detachment."', 'source_id': 'chunk-f1a4fbcf1ed86864b9bfd5e8dba4c683'} +2024-10-30 06:50:40,072 - lightrag - INFO - get_edge:query: + MATCH (start:`SCROOGE`)-[r]->(end:`THE GRAVE`) + RETURN properties(r) as edge_properties + LIMIT 1 + :result:{'keywords': '"mortality, urgency"', 'weight': 8.0, 'description': '"Scrooge’s need to confront his own grave signifies the urgency to change his life before it is too late."', 'source_id': 'chunk-91572b3cd42786ba4cb2f180ca25cbf4'} +2024-10-30 06:50:40,164 - lightrag - INFO - get_edge:query: + MATCH (start:`JOE`)-[r]->(end:`THE DECEASED`) + RETURN properties(r) as edge_properties + LIMIT 1 + :result:{'keywords': '"materialism, death"', 'weight': 5.0, 'description': '"Joe discusses the belongings and implications of The Deceased\'s life, indicating a financial and material relationship with the dead."', 'source_id': 'chunk-e1f29eeadc1d8ab46dc8a0bbd3c56b64'} +2024-10-30 06:50:40,258 - lightrag - INFO - get_edge:query: + MATCH (start:`CHRISTMAS`)-[r]->(end:`TINY TIM`) + RETURN properties(r) as edge_properties + LIMIT 1 + :result:{'keywords': '"innocence, holiday spirit"', 'weight': 18.0, 'description': '"Tiny Tim represents the spirit of Christmas, being cherished by family during this festive occasion."', 'source_id': 'chunk-1d4b58de5429cd1261370c231c8673e8'} +2024-10-30 06:50:40,351 - lightrag - INFO - get_edge:query: + MATCH (start:`IGNORANCE`)-[r]->(end:`SCROOGE`) + RETURN properties(r) as edge_properties + LIMIT 1 + :result:{'keywords': '"social awareness, warning"', 'weight': 9.0, 'description': '"Scrooge is warned about the dangers posed by Ignorance, which embodies significant societal issues he has ignored."', 'source_id': 'chunk-02baee20cc9463dbe08170a8e1043e32'} +2024-10-30 06:50:40,446 - lightrag - INFO - get_edge:query: + MATCH (start:`MANKIND`)-[r]->(end:`SCROOGE`) + RETURN properties(r) as edge_properties + LIMIT 1 + :result:{'keywords': '"moral responsibility, social awareness"', 'weight': 7.0, 'description': '"Scrooge\'s actions and neglect of mankind are highlighted in Marley\'s admonitions, emphasizing the need for connection and care for others."', 'source_id': 'chunk-359187e7571bda4b0b08b2e0b6581e52'} +2024-10-30 06:50:40,541 - lightrag - INFO - get_edge:query: + MATCH (start:`GAOL`)-[r]->(end:`SPIRIT`) + RETURN properties(r) as edge_properties + LIMIT 1 + :result:{'keywords': '"empowerment, societal change"', 'weight': 8.0, 'description': '"The Gaol represents the consequences of societal indifference, highlighted by the Spirit to show the need for empathy and reform."', 'source_id': 'chunk-e7637ff18c5ded77a68cce0a87883fad'} +2024-10-30 06:50:40,637 - lightrag - INFO - get_edge:query: + MATCH (start:`THE FIRE`)-[r]->(end:`TINY TIM`) + RETURN properties(r) as edge_properties + LIMIT 1 + :result:{'keywords': '"warmth, family support"', 'weight': 16.0, 'description': '"Tiny Tim is seen being supported by the family at the warmth of the Fire, which adds comfort and cheer to their gathering."', 'source_id': 'chunk-7e2e7ebcc19a53b399dc03aded4743e7'} +2024-10-30 06:50:40,732 - lightrag - INFO - get_edge:query: + MATCH (start:`ORSON`)-[r]->(end:`SCROOGE`) + RETURN properties(r) as edge_properties + LIMIT 1 + :result:{'keywords': '"family memories, nostalgia"', 'weight': 6.0, 'description': '"Same as above, Orson is part of Scrooge\'s memories of his brothers during Christmas time, emphasizing themes of togetherness and nostalgia."', 'source_id': 'chunk-8590d9263cd2cd4fa583c432fc54e6c3'} +2024-10-30 06:50:40,828 - lightrag - INFO - get_edge:query: + MATCH (start:`BELLE`)-[r]->(end:`SCROOGE`) + RETURN properties(r) as edge_properties + LIMIT 1 + :result:{'keywords': '"lost love, regret""nostalgia, lost love"', 'weight': 16.0, 'description': '"Scrooge reflects on his lost relationship with Belle, highlighting his feelings of regret and emotional pain.""Scrooge reminisces about Belle and the love they shared, indicating a lost connection and regret."', 'source_id': 'chunk-da2472b4ef2a535b62908f14d0fb0ca9'} +2024-10-30 06:50:40,923 - lightrag - INFO - get_edge:query: + MATCH (start:`COURT`)-[r]->(end:`SCROOGE`) + RETURN properties(r) as edge_properties + LIMIT 1 + :result:{'keywords': '"social contrast, isolation"', 'weight': 14.0, 'description': '"The court serves as a contrasting backdrop to Scrooge’s private space, where social warmth and interaction occur, which he actively avoids."', 'source_id': 'chunk-74e2466de2f67fd710ef2f20c0a8d9e0'} +2024-10-30 06:50:41,016 - lightrag - INFO - get_edge:query: + MATCH (start:`SCROOGE`)-[r]->(end:`THE CORPSE`) + RETURN properties(r) as edge_properties + LIMIT 1 + :result:{'keywords': '"introspection, life choices"', 'weight': 18.0, 'description': '"Scrooge’s horror upon seeing The Corpse prompts deep reflection on his own life choices and morality."', 'source_id': 'chunk-e1f29eeadc1d8ab46dc8a0bbd3c56b64'} +2024-10-30 06:50:41,108 - lightrag - INFO - get_edge:query: + MATCH (start:`CHRISTMAS`)-[r]->(end:`SPANISH ONIONS`) + RETURN properties(r) as edge_properties + LIMIT 1 + :result:{'keywords': '"culinary tradition, seasonal offerings"', 'weight': 7.0, 'description': '"Spanish Onions are part of the seasonal offerings that contribute to the culinary landscape of Christmas."', 'source_id': 'chunk-99b0ec7f7e006561352b5d65e849611d'} +2024-10-30 06:50:41,201 - lightrag - INFO - get_edge:query: + MATCH (start:`CHURCH`)-[r]->(end:`SCROOGE`) + RETURN properties(r) as edge_properties + LIMIT 1 + :result:{'keywords': '"community, contrast"', 'weight': 16.0, 'description': '"The church symbolizes the community and settings of Scrooge\'s past, highlighting the contrast between then and now."', 'source_id': 'chunk-bb21d58d36c6306fd8810ddd51c4a971'} +2024-10-30 06:50:41,299 - lightrag - INFO - get_edge:query: + MATCH (start:`CRATCHIT FAMILY`)-[r]->(end:`MASTER PETER CRATCHIT`) + RETURN properties(r) as edge_properties + LIMIT 1 + :result:{'keywords': '"family participation, joy"', 'weight': 8.0, 'description': '"Master Peter Cratchit is a part of the Cratchit family and contributes to their joyful Christmas celebration with enthusiasm."', 'source_id': 'chunk-7e2e7ebcc19a53b399dc03aded4743e7'} +2024-10-30 06:50:41,393 - lightrag - INFO - get_edge:query: + MATCH (start:`SCROOGE`)-[r]->(end:`THE GHOST OF MARLEY`) + RETURN properties(r) as edge_properties + LIMIT 1 + :result:{'keywords': '"redemption, moral reflection""supernatural, moral reckoning"', 'weight': 19.0, 'description': '"The Ghost of Marley serves as a direct reminder of Scrooge\'s past decisions, urging him towards change and redemption.""The Ghost of Marley symbolizes Scrooge\'s past mistakes and serves as a catalyst for his transformation."', 'source_id': 'chunk-d9aac3484185ac66045df92214d245d5'} +2024-10-30 06:50:41,491 - lightrag - INFO - get_edge:query: + MATCH (start:`CRATCHIT CHRISTMAS DINNER`)-[r]->(end:`CRATCHIT FAMILY`) + RETURN properties(r) as edge_properties + LIMIT 1 + :result:{'keywords': '"family celebration, togetherness"', 'weight': 20.0, 'description': '"The Cratchit Family comes together to celebrate Christmas dinner, encapsulating their unity and joyful spirit during the holiday season."', 'source_id': 'chunk-7e2e7ebcc19a53b399dc03aded4743e7'} +2024-10-30 06:50:41,587 - lightrag - INFO - get_edge:query: + MATCH (start:`THE CHILDREN`)-[r]->(end:`THE MOTHER`) + RETURN properties(r) as edge_properties + LIMIT 1 + :result:{'keywords': '"family care, joy"', 'weight': 14.0, 'description': '"The Mother facilitates the family celebrations, ensuring that her children experience joy during Christmas."', 'source_id': 'chunk-da2472b4ef2a535b62908f14d0fb0ca9'} +2024-10-30 06:50:41,687 - lightrag - INFO - get_edge:query: + MATCH (start:`CRATCHIT FAMILY`)-[r]->(end:`THE SPIRIT`) + RETURN properties(r) as edge_properties + LIMIT 1 + :result:{'keywords': '"holiday spirit, influence"', 'weight': 18.0, 'description': '"The Spirit influences the Christmas gathering of the Cratchit family by promoting joy and generosity, impacting their celebration."', 'source_id': 'chunk-19d72c57ae3408758b18d2568e86dc6b'} +2024-10-30 06:50:41,782 - lightrag - INFO - get_edge:query: + MATCH (start:`SCHOOL`)-[r]->(end:`SPIRIT`) + RETURN properties(r) as edge_properties + LIMIT 1 + :result:{'keywords': '"reflection, nostalgia"', 'weight': 6.0, 'description': '"The Spirit leads Scrooge to the School, invoking memories of solitary times that deeply impact his emotional state."', 'source_id': 'chunk-bb21d58d36c6306fd8810ddd51c4a971'} +2024-10-30 06:50:41,877 - lightrag - INFO - get_edge:query: + MATCH (start:`CRATCHIT FAMILY`)-[r]->(end:`THE GOOSE`) + RETURN properties(r) as edge_properties + LIMIT 1 + :result:{'keywords': '"symbol of abundance, celebration"', 'weight': 10.0, 'description': '"The Goose represents the festive meal that the Cratchit family cherishes during their Christmas gathering, enhancing their celebration."', 'source_id': 'chunk-7e2e7ebcc19a53b399dc03aded4743e7'} +2024-10-30 06:50:41,975 - lightrag - INFO - get_edge:query: + MATCH (start:`CHRISTMAS`)-[r]->(end:`MISTLETOE`) + RETURN properties(r) as edge_properties + LIMIT 1 + :result:{'keywords': '"festive symbols, joy"', 'weight': 7.0, 'description': '"Mistletoe is a traditional decoration that enhances the joy and atmosphere of Christmas."', 'source_id': 'chunk-99b0ec7f7e006561352b5d65e849611d'} +2024-10-30 06:50:42,067 - lightrag - INFO - get_edge:query: + MATCH (start:`DEATH`)-[r]->(end:`SCROOGE`) + RETURN properties(r) as edge_properties + LIMIT 1 + :result:{'keywords': '"existential crisis, contemplation"', 'weight': 9.0, 'description': '"Scrooge grapples with the idea of Death as he witnesses the aftermath of The Deceased\'s life, leading to an inner turmoil."', 'source_id': 'chunk-e1f29eeadc1d8ab46dc8a0bbd3c56b64'} +2024-10-30 06:50:42,160 - lightrag - INFO - get_edge:query: + MATCH (start:`SCROOGE`)-[r]->(end:`THE DOWERLESS GIRL`) + RETURN properties(r) as edge_properties + LIMIT 1 + :result:{'keywords': '"social constraints, regret"', 'weight': 12.0, 'description': '"Scrooge\'s reflections on the dowerless girl highlight the social constraints influencing his choices and feelings of regret."', 'source_id': 'chunk-54bdd22db1f84a965b5f4c06c9216d8d'} +2024-10-30 06:50:42,253 - lightrag - INFO - get_edge:query: + MATCH (start:`CRATCHIT FAMILY`)-[r]->(end:`DEATH`) + RETURN properties(r) as edge_properties + LIMIT 1 + :result:{'keywords': '"grief, family dynamics"', 'weight': 8.0, 'description': '"The death event impacts the Cratchit family deeply, influencing their emotional state and perceptions of hope and kindness."', 'source_id': 'chunk-83ac129dc9b56f84c46760d153d68e93'} +2024-10-30 06:50:42,346 - lightrag - INFO - get_edge:query: + MATCH (start:`FELLOW-BEINGS`)-[r]->(end:`SCROOGE`) + RETURN properties(r) as edge_properties + LIMIT 1 + :result:{'keywords': '"neglect, realization"', 'weight': 16.0, 'description': '"Scrooge is confronted with his past choices to ignore Fellow-beings, leading to a realization of his moral failures."', 'source_id': 'chunk-359187e7571bda4b0b08b2e0b6581e52'} +2024-10-30 06:50:42,441 - lightrag - INFO - get_edge:query: + MATCH (start:`CLERK`)-[r]->(end:`SCROOGE`) + RETURN properties(r) as edge_properties + LIMIT 1 + :result:{'keywords': '"contrast, workplace dynamics""employment relationship, respect"', 'weight': 10.0, 'description': '"Scrooge\'s Clerk represents a contrasting viewpoint to Scrooge\'s own, showcasing a degree of warmth that Scrooge actively dismisses.""The Clerk communicates with Scrooge about his work, highlighting the lack of mutual respect in their employer-employee relationship."', 'source_id': 'chunk-d9aac3484185ac66045df92214d245d5chunk-5dac41b3f9eeaf794f0147400b1718cd'} +2024-10-30 06:50:42,534 - lightrag - INFO - get_edge:query: + MATCH (start:`SCROOGE`)-[r]->(end:`THE DECEASED`) + RETURN properties(r) as edge_properties + LIMIT 1 + :result:{'keywords': '"reflection, mortality"', 'weight': 8.0, 'description': '"Scrooge reflects on the condition and life of The Deceased, equating his own life with the man\'s fate, indicating a profound contemplation of mortality."', 'source_id': 'chunk-e1f29eeadc1d8ab46dc8a0bbd3c56b64'} +2024-10-30 06:50:42,628 - lightrag - INFO - get_edge:query: + MATCH (start:`SCROOGE`)-[r]->(end:`THE LAMPLIGHTER`) + RETURN properties(r) as edge_properties + LIMIT 1 + :result:{'keywords': '"contrast, positivity"', 'weight': 12.0, 'description': '"The Lamplighter\'s cheerful demeanor contrasts with Scrooge\'s initial outlook, highlighting the possibility of joy in life."', 'source_id': 'chunk-91614df5cb74cbe5e109a338a82041e9'} +2024-10-30 06:50:42,721 - lightrag - INFO - get_edge:query: + MATCH (start:`DICK`)-[r]->(end:`SCROOGE`) + RETURN properties(r) as edge_properties + LIMIT 1 + :result:{'keywords': '"nostalgia, friendship"', 'weight': 14.0, 'description': '"Scrooge remembers Dick as a part of his past, highlighting their shared experiences during happier times.""Scrooge\'s memories of Dick evoke a sense of nostalgia and reflection on the changes in his life and their friendship."', 'source_id': 'chunk-b2f98bc7abb0c67d4c86055c7fd72218'} +2024-10-30 06:50:42,815 - lightrag - INFO - get_edge:query: + MATCH (start:`OLD JOE`)-[r]->(end:`THE SHOP`) + RETURN properties(r) as edge_properties + LIMIT 1 + :result:{'keywords': '"business hub, unscrupulous dealings"', 'weight': 8.0, 'description': '"Old Joe\'s activities, including the appraisal of stolen items, solidify the shop\'s role as a hub for unscrupulous dealings."', 'source_id': 'chunk-60fc063c79fc0d4acc91a57e79de04dc'} +2024-10-30 06:50:42,907 - lightrag - INFO - get_edge:query: + MATCH (start:`SCROOGE`)-[r]->(end:`THE CRATCHIT HOUSE`) + RETURN properties(r) as edge_properties + LIMIT 1 + :result:{'keywords': '"compassion, familial connection"', 'weight': 18.0, 'description': '"Scrooge\'s reflections in The Cratchit House illustrate his evolving understanding of compassion and connection to others."', 'source_id': 'chunk-83ac129dc9b56f84c46760d153d68e93'} +2024-10-30 06:50:43,002 - lightrag - INFO - get_edge:query: + MATCH (start:`ALI BABA`)-[r]->(end:`SCROOGE`) + RETURN properties(r) as edge_properties + LIMIT 1 + :result:{'keywords': '"memory, kindness""nostalgia, childhood stories"', 'weight': 15.0, 'description': '"Scrooge recalls Ali Baba fondly, indicating a positive association with adventurers and kindness during Christmas.""Scrooge recalls Ali Baba while reflecting on memories of Christmas, indicating a strong personal connection to the story and its impact on him."', 'source_id': 'chunk-8590d9263cd2cd4fa583c432fc54e6c3'} +2024-10-30 06:50:43,098 - lightrag - INFO - get_edge:query: + MATCH (start:`JACOB`)-[r]->(end:`SCROOGE`) + RETURN properties(r) as edge_properties + LIMIT 1 + :result:{'keywords': '"past reflections, moral lesson""reflection, past relationship"', 'weight': 16.0, 'description': '"Scrooge reflects on his past relationship with Jacob, influenced by feelings of guilt and loss after Jacob\'s death.""Scrooge reflects on his relationship with Jacob, understanding the past implications of his death for his own future."', 'source_id': 'chunk-f1a4fbcf1ed86864b9bfd5e8dba4c683'} +2024-10-30 06:50:43,189 - lightrag - INFO - get_edge:query: + MATCH (start:`THE BUNDLE`)-[r]->(end:`THE DECEASED MAN`) + RETURN properties(r) as edge_properties + LIMIT 1 + :result:{'keywords': '"material legacy, value"', 'weight': 14.0, 'description': '"The Bundle contains the belongings that once belonged to The Deceased Man, illustrating the material value placed on his life after death."', 'source_id': 'chunk-e1f29eeadc1d8ab46dc8a0bbd3c56b64'} +2024-10-30 06:50:43,283 - lightrag - INFO - get_edge:query: + MATCH (start:`CHILDREN`)-[r]->(end:`SPIRIT`) + RETURN properties(r) as edge_properties + LIMIT 1 + :result:{'keywords': '"social issues, innocence"', 'weight': 9.0, 'description': '"The Spirit introduces Scrooge to the Children as representations of societal neglect, urging recognition and action."', 'source_id': 'chunk-e7637ff18c5ded77a68cce0a87883fad'} +2024-10-30 06:50:43,376 - lightrag - INFO - get_edge:query: + MATCH (start:`COUNTING-HOUSE`)-[r]->(end:`SCROOGE`) + RETURN properties(r) as edge_properties + LIMIT 1 + :result:{'keywords': '"isolation, work environment""reflection, priorities"', 'weight': 32.0, 'description': '"Scrooge reflects on his life spent in the Counting-house, which represents his previous priorities focused on business over personal connections.""Scrooge reflects on his life spent in the Counting-house, which represents his previous priorities focused on business over personal connections.""Scrooge\'s counting-house is a reflection of his cold character and attitude towards life, where he isolates himself from human interactions.""Scrooge\'s counting-house is a reflection of his cold character and attitude towards life, where he isolates himself from human interactions."', 'source_id': 'chunk-359187e7571bda4b0b08b2e0b6581e52chunk-74e2466de2f67fd710ef2f20c0a8d9e0'} +2024-10-30 06:50:43,473 - lightrag - INFO - get_edge:query: + MATCH (start:`SCROOGE`)-[r]->(end:`THE GHOST OF CHRISTMAS PRESENT`) + RETURN properties(r) as edge_properties + LIMIT 1 + :result:{'keywords': '"awareness, joy""compassion, insight""supernatural guidance, social impact""transformation, guidance"', 'weight': 34.0, 'description': '"The Ghost of Christmas Present exposes Scrooge to the joy and generosity he has been missing.""The Ghost of Christmas Present observes Scrooge\'s transformation and emotional engagement with his memories of Christmas.""The Ghost of Christmas Present shows Scrooge the joy and importance of kindness during Christmas, impacting his perspective on social issues.""The Ghost of Christmas Present shows Scrooge the joy and hardships of others during Christmas, deepening his understanding of compassion."', 'source_id': 'chunk-43c9bee23adfa77aa9dedd22401bba7dchunk-90b95db5c53e4364a6bee36b7aa4d70fchunk-b0f459f5af1c3a5e0b92cbe4ee48b77b'} +2024-10-30 06:50:43,567 - lightrag - INFO - get_edge:query: + MATCH (start:`SCHOOL`)-[r]->(end:`SCROOGE`) + RETURN properties(r) as edge_properties + LIMIT 1 + :result:{'keywords': '"neglect, formative experiences"', 'weight': 7.0, 'description': '"The School serves as a poignant reminder of Scrooge\'s childhood neglect, influencing his character development and emotional barriers."', 'source_id': 'chunk-bb21d58d36c6306fd8810ddd51c4a971'} +2024-10-30 06:50:43,661 - lightrag - INFO - get_edge:query: + MATCH (start:`JOE`)-[r]->(end:`SCROOGE`) + RETURN properties(r) as edge_properties + LIMIT 1 + :result:{'keywords': '"perspective contrast, moral dilemma"', 'weight': 12.0, 'description': '"Joe\'s cynical attitude towards death and belongings contrasts with Scrooge\'s moral horror, creating a tension between their perspectives."', 'source_id': 'chunk-e1f29eeadc1d8ab46dc8a0bbd3c56b64'} +2024-10-30 06:50:43,754 - lightrag - INFO - get_edge:query: + MATCH (start:`CHRISTMAS`)-[r]->(end:`SCROOGE'S NEPHEW`) + RETURN properties(r) as edge_properties + LIMIT 1 + :result:{'keywords': '"advocacy for holiday spirit, family dynamics""celebration, contrasting views""festivity, positive influence"', 'weight': 34.0, 'description': '"Scrooge\'s Nephew associates Christmas with goodwill and joy, which he tries to instill in Scrooge through their conversation.""Scrooge\'s Nephew defends the positive aspects of Christmas, contrasting Scrooge\'s view that the holiday is pointless.""Scrooge\'s nephew embodies the spirit of Christmas, representing joy and good humor during the holiday season.""Scrooge\'s nephew views Christmas as a merry occasion, symbolizing the warmth and generosity that Scrooge dismisses."', 'source_id': 'chunk-91614df5cb74cbe5e109a338a82041e9chunk-5dac41b3f9eeaf794f0147400b1718cdchunk-74e2466de2f67fd710ef2f20c0a8d9e0'} +2024-10-30 06:50:43,849 - lightrag - INFO - get_edge:query: + MATCH (start:`THE DAUGHTER`)-[r]->(end:`THE MOTHER`) + RETURN properties(r) as edge_properties + LIMIT 1 + :result:{'keywords': '"familial love, joy"', 'weight': 7.0, 'description': '"The Mother and Daughter share a loving and playful relationship, showcasing familial bonds and joy during the Christmas season."', 'source_id': 'chunk-54bdd22db1f84a965b5f4c06c9216d8d'} +2024-10-30 06:50:43,943 - lightrag - INFO - get_edge:query: + MATCH (start:`BOB CRATCHIT`)-[r]->(end:`THE TANK`) + RETURN properties(r) as edge_properties + LIMIT 1 + :result:{'keywords': '"workplace, struggle"', 'weight': 14.0, 'description': '"Bob\'s working conditions in The Tank under Scrooge reflect the challenges he faces as a struggling employee supporting his family."', 'source_id': 'chunk-94bea83e7153fc2064aa382b494936a1'} +2024-10-30 06:50:44,038 - lightrag - INFO - get_edge:query: + MATCH (start:`SCROOGE`)-[r]->(end:`THE HOUSE`) + RETURN properties(r) as edge_properties + LIMIT 1 + :result:{'keywords': '"haunting, setting influence""setting, atmosphere"', 'weight': 15.0, 'description': '"Scrooge\'s experiences and encounters with Marley occur within The House, which plays a significant role in the haunting atmosphere.""Scrooge\'s experiences with Marley\'s Ghost occur within The House, which plays a crucial role in the haunting atmosphere."', 'source_id': 'chunk-9c43dac2fcd5b578242d907ea6f8fc7b'} +2024-10-30 06:50:44,131 - lightrag - INFO - get_edge:query: + MATCH (start:`GHOST OF CHRISTMAS PRESENT`)-[r]->(end:`SPIRIT`) + RETURN properties(r) as edge_properties + LIMIT 1 + :result:{'keywords': '"mentoring, generosity"', 'weight': 10.0, 'description': '"The Ghost embodies the essence of Christmas present, revealing the themes of joy and abundance to Scrooge."', 'source_id': 'chunk-843b5b2f944c7413d9ca876e2e2f151f'} +2024-10-30 06:50:44,226 - lightrag - INFO - get_edge:query: + MATCH (start:`SCROOGE`)-[r]->(end:`THE CLOCK`) + RETURN properties(r) as edge_properties + LIMIT 1 + :result:{'keywords': '"disorientation, urgency""time distortion, confusion"', 'weight': 13.0, 'description': '"Scrooge\'s awareness of time is challenged by The Clock, reflecting his confusion and the urgency of his situation.""Scrooge\'s interaction with the faulty clock symbolizes his disconnection from time and reality, as he struggles to comprehend his experiences."', 'source_id': 'chunk-cb661c37436355ccec2769b1d0350c5f'} +2024-10-30 06:50:44,318 - lightrag - INFO - get_edge:query: + MATCH (start:`BOB CRATCHIT`)-[r]->(end:`THE POULTERER'S`) + RETURN properties(r) as edge_properties + LIMIT 1 + :result:{'keywords': '"commerce, generosity"', 'weight': 12.0, 'description': '"The Poulterer\'s shop is where Scrooge instructs the boy to buy a turkey for the Cratchit family, linking commerce to kindness."', 'source_id': 'chunk-90b95db5c53e4364a6bee36b7aa4d70f'} +2024-10-30 06:50:44,413 - lightrag - INFO - get_edge:query: + MATCH (start:`BEDLAM`)-[r]->(end:`SCROOGE`) + RETURN properties(r) as edge_properties + LIMIT 1 + :result:{'keywords': '"disdain, societal norms"', 'weight': 12.0, 'description': '"Scrooge invokes the concept of Bedlam to express his disbelief and frustration at the cheerfulness of others, implying a disdain for societal norms."', 'source_id': 'chunk-5dac41b3f9eeaf794f0147400b1718cd'} +2024-10-30 06:50:44,509 - lightrag - INFO - get_edge:query: + MATCH (start:`CHRISTMAS CAROL`)-[r]->(end:`SCROOGE`) + RETURN properties(r) as edge_properties + LIMIT 1 + :result:{'keywords': '"generosity, connection"', 'weight': 8.0, 'description': '"Scrooge recalls a Christmas carol, wishing to give to a boy, which signifies his longing for connection and generosity."', 'source_id': 'chunk-8590d9263cd2cd4fa583c432fc54e6c3'} +2024-10-30 06:50:44,604 - lightrag - INFO - get_edge:query: + MATCH (start:`SCROOGE`)-[r]->(end:`THE BELL`) + RETURN properties(r) as edge_properties + LIMIT 1 + :result:{'keywords': '"foreboding, supernatural""supernatural event, signaling"', 'weight': 15.0, 'description': '"The Bell\'s movement and sound foreshadow Marley\'s Ghost\'s appearance, enhancing the sense of impending supernatural activity in Scrooge\'s environment.""The Bell\'s unexpected ringing is associated with the appearance of Marley’s Ghost, enhancing the supernatural events in The House."', 'source_id': 'chunk-9c43dac2fcd5b578242d907ea6f8fc7b'} +2024-10-30 06:50:44,696 - lightrag - INFO - get_edge:query: + MATCH (start:`CHILDREN`)-[r]->(end:`SCROOGE`) + RETURN properties(r) as edge_properties + LIMIT 1 + :result:{'keywords': '"emotional detachment, joy""longing, innocence"', 'weight': 12.0, 'description': '"Scrooge\'s indifference towards children shows his emotional coldness and detachment from the joyous aspects of life.""Scrooge\'s reaction to the Children he observes in his memories reveals his longing for the happiness he once knew but has since lost."', 'source_id': 'chunk-74e2466de2f67fd710ef2f20c0a8d9e0chunk-bb21d58d36c6306fd8810ddd51c4a971'} +2024-10-30 06:50:44,789 - lightrag - INFO - get_edge:query: + MATCH (start:`GHOST`)-[r]->(end:`SPECTRE`) + RETURN properties(r) as edge_properties + LIMIT 1 + :result:{'keywords': '"identity, motivation"', 'weight': 20.0, 'description': '"The Spectre is synonymous with the Ghost, representing the collective spirit urging Scrooge to change his ways."', 'source_id': 'chunk-359187e7571bda4b0b08b2e0b6581e52'} +2024-10-30 06:50:44,883 - lightrag - INFO - get_edge:query: + MATCH (start:`POOR AND DESTITUTE`)-[r]->(end:`SCROOGE`) + RETURN properties(r) as edge_properties + LIMIT 1 + :result:{'keywords': '"miserliness, social neglect"', 'weight': 14.0, 'description': '"Scrooge\'s reluctance to support the Poor and Destitute highlights his miserly nature and his antagonism toward societal responsibility."', 'source_id': 'chunk-5dac41b3f9eeaf794f0147400b1718cd'} +2024-10-30 06:50:44,979 - lightrag - INFO - get_edge:query: + MATCH (start:`BOYS`)-[r]->(end:`SCROOGE`) + RETURN properties(r) as edge_properties + LIMIT 1 + :result:{'keywords': '"joy, childhood memories"', 'weight': 14.0, 'description': '"Scrooge feels joy upon seeing the boys, evoking memories of childhood experiences and emotions associated with them."', 'source_id': 'chunk-bb21d58d36c6306fd8810ddd51c4a971'} +2024-10-30 06:50:45,072 - lightrag - INFO - get_edge:query: + MATCH (start:`CHRISTMAS DAY`)-[r]->(end:`SCROOGE`) + RETURN properties(r) as edge_properties + LIMIT 1 + :result:{'keywords': '"seasonal significance, renewal""transformation, celebration"', 'weight': 19.0, 'description': '"Scrooge experiences a profound change on Christmas Day, which signifies his newfound joy and generosity.""Scrooge\'s change in attitude and actions occur on Christmas Day, making it a pivotal event in his story."', 'source_id': 'chunk-90b95db5c53e4364a6bee36b7aa4d70f'} +2024-10-30 06:50:45,161 - lightrag - INFO - get_edge:query: + MATCH (start:`BOB CRATCHIT`)-[r]->(end:`CHRISTMAS EVE`) + RETURN properties(r) as edge_properties + LIMIT 1 + :result:{'keywords': '"celebration, contrast""festive spirit, contrasting perspectives"', 'weight': 13.0, 'description': '"Bob Cratchit celebrates Christmas Eve with joy and innocence, showcasing the festive spirit that Scrooge rejects.""Bob Cratchit embodies the joy of Christmas Eve while Scrooge\'s perspective starkly contrasts with Bob\'s happiness during the holiday season."', 'source_id': 'chunk-d9aac3484185ac66045df92214d245d5'} +2024-10-30 06:50:45,257 - lightrag - INFO - get_edge:query: + MATCH (start:`BOB CRATCHIT`)-[r]->(end:`CAMDEN TOWN`) + RETURN properties(r) as edge_properties + LIMIT 1 + :result:{'keywords': '"contrast, warmth""family life, geographical contrast"', 'weight': 13.0, 'description': '"Bob Cratchit lives in Camden Town, highlighting the geographical context of his life and family, contrasting with Scrooge\'s isolated existence.""Camden Town serves as a location representing warmth and family contrast to Scrooge\'s loneliness."', 'source_id': 'chunk-d9aac3484185ac66045df92214d245d5'} +2024-10-30 06:50:45,352 - lightrag - INFO - get_edge:query: + MATCH (start:`CHRISTMAS`)-[r]->(end:`THE SHIP`) + RETURN properties(r) as edge_properties + LIMIT 1 + :result:{'keywords': '"unity, shared experience"', 'weight': 16.0, 'description': '"The Ship\'s crew celebrates Christmas together, creating a sense of unity and shared joy despite their circumstances."', 'source_id': 'chunk-91614df5cb74cbe5e109a338a82041e9'} +2024-10-30 06:50:45,446 - lightrag - INFO - get_edge:query: + MATCH (start:`IGNORANCE`)-[r]->(end:`SPIRIT`) + RETURN properties(r) as edge_properties + LIMIT 1 + :result:{'keywords': '"social issues, awareness""social warning, awareness"', 'weight': 30.0, 'description': '"The Spirit introduces Ignorance to Scrooge as a representation of societal failures, urging him to acknowledge and address these issues.""The Spirit introduces Ignorance to Scrooge as a representation of societal failures, urging him to acknowledge and address these issues.""The Spirit points out Ignorance, highlighting the need for awareness and responsibility toward societal issues.""The Spirit points out Ignorance, highlighting the need for awareness and responsibility toward societal issues."', 'source_id': 'chunk-02baee20cc9463dbe08170a8e1043e32chunk-e7637ff18c5ded77a68cce0a87883fad'} +2024-10-30 06:50:45,540 - lightrag - INFO - get_edge:query: + MATCH (start:`SCROOGE`)-[r]->(end:`WEALTH`) + RETURN properties(r) as edge_properties + LIMIT 1 + :result:{'keywords': '"materialism, character development"', 'weight': 8.0, 'description': '"Scrooge confronts the obsession with wealth which has led him away from meaningful connections and happiness."', 'source_id': 'chunk-b2f98bc7abb0c67d4c86055c7fd72218'} +2024-10-30 06:50:45,634 - lightrag - INFO - get_edge:query: + MATCH (start:`SCROOGE`)-[r]->(end:`THE THREE SPIRITS`) + RETURN properties(r) as edge_properties + LIMIT 1 + :result:{'keywords': '"redemption, transformation"', 'weight': 9.0, 'description': '"Scrooge is directly involved in the narrative concerning the Three Spirits who are meant to guide him toward redemption."', 'source_id': 'chunk-cb661c37436355ccec2769b1d0350c5f'} +2024-10-30 06:50:45,729 - lightrag - INFO - get_edge:query: + MATCH (start:`LONDON`)-[r]->(end:`SCROOGE`) + RETURN properties(r) as edge_properties + LIMIT 1 + :result:{'keywords': '"setting, seasonal context""setting, transformation"', 'weight': 12.0, 'description': '"London as the setting contextualizes Scrooge\'s experiences and transformations regarding Christmas celebrations.""Scrooge\'s experiences reflect the larger context of life in London during the festive season, emphasizing the mood of the city at that time."', 'source_id': 'chunk-d9aac3484185ac66045df92214d245d5chunk-43c9bee23adfa77aa9dedd22401bba7d'} +2024-10-30 06:50:45,825 - lightrag - INFO - get_edge:query: + MATCH (start:`BUSINESSMEN`)-[r]->(end:`SCROOGE`) + RETURN properties(r) as edge_properties + LIMIT 1 + :result:{'keywords': '"social interactions, superficiality"', 'weight': 7.0, 'description': '"Scrooge\'s past interactions with the businessmen are superficial, reflecting his focus on wealth and status rather than meaningful connections."', 'source_id': 'chunk-f1a4fbcf1ed86864b9bfd5e8dba4c683'} +2024-10-30 06:50:45,920 - lightrag - INFO - get_edge:query: + MATCH (start:`BOB CRATCHIT`)-[r]->(end:`THE FAMILY`) + RETURN properties(r) as edge_properties + LIMIT 1 + :result:{'keywords': '"family, responsibility"', 'weight': 16.0, 'description': '"Bob Cratchit is a central figure in The Family, demonstrating love and responsibility towards his children during Christmas."', 'source_id': 'chunk-94bea83e7153fc2064aa382b494936a1'} +2024-10-30 06:50:46,014 - lightrag - INFO - get_edge:query: + MATCH (start:`BOB`)-[r]->(end:`TINY TIM`) + RETURN properties(r) as edge_properties + LIMIT 1 + :result:{'keywords': '"family dynamics, loss"', 'weight': 8.0, 'description': '"Bob reflects on Tiny Tim\'s memory, highlighting the impact of his loss on the family dynamics."', 'source_id': 'chunk-91572b3cd42786ba4cb2f180ca25cbf4'} +2024-10-30 06:50:46,106 - lightrag - INFO - get_edge:query: + MATCH (start:`MARLEY`)-[r]->(end:`THE KNOCKER`) + RETURN properties(r) as edge_properties + LIMIT 1 + :result:{'keywords': '"supernatural symbolism, foreshadowing"', 'weight': 7.0, 'description': '"Marley is connected to the Knocker as the ghostly presence that Scrooge anticipates as he approaches his door, setting up the eerie tone of the haunting."', 'source_id': 'chunk-9c43dac2fcd5b578242d907ea6f8fc7b'} +2024-10-30 06:50:46,224 - lightrag - INFO - get_edge:query: + MATCH (start:`BEGGARS`)-[r]->(end:`SCROOGE`) + RETURN properties(r) as edge_properties + LIMIT 1 + :result:{'keywords': '"lack of compassion, social isolation"', 'weight': 12.0, 'description': '"Beggars do not seek help from Scrooge due to his reputation, highlighting his inability to connect and empathize with those in need."', 'source_id': 'chunk-74e2466de2f67fd710ef2f20c0a8d9e0'} +2024-10-30 06:50:46,318 - lightrag - INFO - get_edge:query: + MATCH (start:`GHOST OF CHRISTMAS PRESENT`)-[r]->(end:`TINY TIM`) + RETURN properties(r) as edge_properties + LIMIT 1 + :result:{'keywords': '"compassion, family"', 'weight': 18.0, 'description': '"The Ghost of Christmas Present reveals Tiny Tim’s struggles and optimism, emphasizing themes of compassion and family."', 'source_id': 'chunk-9e3921da66da5d761ab73cd849af6c43'} +2024-10-30 06:50:46,413 - lightrag - INFO - get_edge:query: + MATCH (start:`SCROOGE`)-[r]->(end:`WINDING RIVER`) + RETURN properties(r) as edge_properties + LIMIT 1 + :result:{'keywords': '"nostalgia, memory"', 'weight': 16.0, 'description': '"The winding river evokes memories and emotions for Scrooge, connecting him to his past experiences and places."', 'source_id': 'chunk-bb21d58d36c6306fd8810ddd51c4a971'} +2024-10-30 06:50:46,508 - lightrag - INFO - get_edge:query: + MATCH (start:`MULTITUDES`)-[r]->(end:`SCROOGE`) + RETURN properties(r) as edge_properties + LIMIT 1 + :result:{'keywords': '"alienation, introspection"', 'weight': 8.0, 'description': '"Scrooge\'s feelings of alienation are heightened as he witnesses the Multitudes, illustrating his inner turmoil and societal disconnect."', 'source_id': 'chunk-f1a4fbcf1ed86864b9bfd5e8dba4c683'} +2024-10-30 06:50:46,602 - lightrag - INFO - get_edge:query: + MATCH (start:`SCROOGE`)-[r]->(end:`SPIRIT OF CHRISTMAS PRESENT`) + RETURN properties(r) as edge_properties + LIMIT 1 + :result:{'keywords': '"transformation, generosity"', 'weight': 16.0, 'description': '"Scrooge interacts with the Spirit of Christmas Present, who shows him the joys of Christmas and the importance of generosity."', 'source_id': 'chunk-b0f459f5af1c3a5e0b92cbe4ee48b77b'} +2024-10-30 06:50:46,696 - lightrag - INFO - get_edge:query: + MATCH (start:`THE LIGHTHOUSE`)-[r]->(end:`THE WAVE`) + RETURN properties(r) as edge_properties + LIMIT 1 + :result:{'keywords': '"struggle, isolation"', 'weight': 14.0, 'description': '"The Wave\'s constant battering of the Lighthouse highlights the isolation and challenges faced by those in such remote environments."', 'source_id': 'chunk-91614df5cb74cbe5e109a338a82041e9'} +2024-10-30 06:50:46,788 - lightrag - INFO - get_edge:query: + MATCH (start:`SPIRIT`)-[r]->(end:`THE EVENT OF DEATH`) + RETURN properties(r) as edge_properties + LIMIT 1 + :result:{'keywords': '"emotional impact, mortality"', 'weight': 16.0, 'description': '"The Spirit highlights the emotional repercussions of The Event of Death, demonstrating the profound effects on those left behind."', 'source_id': 'chunk-83ac129dc9b56f84c46760d153d68e93'} +2024-10-30 06:50:46,884 - lightrag - INFO - get_edge:query: + MATCH (start:`MRS. CRATCHIT`)-[r]->(end:`SCROOGE`) + RETURN properties(r) as edge_properties + LIMIT 1 + :result:{'keywords': '"criticism, emotional conflict""resentment, family focus"', 'weight': 15.0, 'description': '"Mrs. Cratchit expresses her disdain for Scrooge while still wishing to celebrate Christmas for the sake of her family.""Mrs. Cratchit openly criticizes Scrooge during the Christmas dinner, expressing her feelings towards him and emphasizing the family\'s resentment."', 'source_id': 'chunk-19d72c57ae3408758b18d2568e86dc6b'} +2024-10-30 06:50:46,981 - lightrag - INFO - get_edge:query: + MATCH (start:`SCROOGE`)-[r]->(end:`THE WINDOW`) + RETURN properties(r) as edge_properties + LIMIT 1 + :result:{'keywords': '"curiosity, fear"', 'weight': 10.0, 'description': '"Scrooge approaches The Window, which acts as a portal to the outside world and the supernatural, illustrating his curiosity and fear."', 'source_id': 'chunk-cb661c37436355ccec2769b1d0350c5f'} +2024-10-30 06:50:47,080 - lightrag - INFO - get_edge:query: + MATCH (start:`FOG`)-[r]->(end:`SCROOGE`) + RETURN properties(r) as edge_properties + LIMIT 1 + :result:{'keywords': '"atmosphere, emotional reflection""obscurity, isolation"', 'weight': 16.0, 'description': '"Fog represents the obscured vision of Scrooge\'s soul and emotions, aligning with his unknowable nature.""The fog obscures vision and symbolizes Scrooge’s cloudy outlook on life, illustrating his isolation from societal warmth."', 'source_id': 'chunk-d9aac3484185ac66045df92214d245d5chunk-74e2466de2f67fd710ef2f20c0a8d9e0'} +2024-10-30 06:50:47,173 - lightrag - INFO - get_edge:query: + MATCH (start:`ROBIN CRUSOE`)-[r]->(end:`SCROOGE`) + RETURN properties(r) as edge_properties + LIMIT 1 + :result:{'keywords': '"literary influence, nostalgia"', 'weight': 7.0, 'description': '"Scrooge\'s reference to Robin Crusoe during his reflections shows how literary characters shaped his childhood thoughts and feelings."', 'source_id': 'chunk-8590d9263cd2cd4fa583c432fc54e6c3'} +2024-10-30 06:50:47,290 - lightrag - INFO - get_edge:query: + MATCH (start:`GHOST OF JACOB MARLEY`)-[r]->(end:`SCROOGE`) + RETURN properties(r) as edge_properties + LIMIT 1 + :result:{'keywords': '"warning, transformation"', 'weight': 18.0, 'description': '"Jacob Marley appears to Scrooge as a warning and catalyst for his eventual transformation into a better person."', 'source_id': 'chunk-9e3921da66da5d761ab73cd849af6c43'} +2024-10-30 06:50:47,384 - lightrag - INFO - get_edge:query: + MATCH (start:`MARTHA CRATCHIT`)-[r]->(end:`THE COUNTESS`) + RETURN properties(r) as edge_properties + LIMIT 1 + :result:{'keywords': '"social aspirations, class contrast"', 'weight': 10.0, 'description': '"Martha’s mention of having seen the Countess represents her connection to higher social circles and dreams beyond her current situation."', 'source_id': 'chunk-19d72c57ae3408758b18d2568e86dc6b'} +2024-10-30 06:50:47,478 - lightrag - INFO - get_edge:query: + MATCH (start:`SCROOGE`)-[r]->(end:`TINY TIM`) + RETURN properties(r) as edge_properties + LIMIT 1 + :result:{'keywords': '"generosity, familial love""innocence, hope""personal transformation, empathy""reflection, transformation""transformation, holiday spirit""transformation, mentorship""transformation, redemption"', 'weight': 67.0, 'description': '"Scrooge becomes a father figure to Tiny Tim, showing a deep commitment to his well-being after realizing the importance of family and caring for others.""Scrooge reflects on Tiny Tim and expresses concern for his wellbeing, indicating a pivotal change in his character and attitudes towards the less fortunate.""Scrooge\'s transformation is influenced by his reflections on the impact of Tiny Tim\'s life and death.""Scrooge becomes emotionally affected by Tiny Tim\'s situation, leading him to reflect on his past words and actions regarding the welfare of others.""Scrooge expresses a newfound joy during Christmas, indicating a change in attitude towards the spirit symbolized by Tiny Tim.""Scrooge reflects on Tiny Tim\'s essence and the impact of his potential death, considering how it could prompt him to change his ways.""Scrooge\'s intention to send a large turkey to Bob Cratchit\'s family, particularly to Tiny Tim, shows his emotional connection and desire to help.""Tiny Tim is affected by the family\'s feelings towards Scrooge, and he embodies the hope for joy despite Scrooge\'s unkind nature."', 'source_id': 'chunk-90b95db5c53e4364a6bee36b7aa4d70fchunk-19d72c57ae3408758b18d2568e86dc6bchunk-503f0bfa5453467c7c61d160a3540ecachunk-91572b3cd42786ba4cb2f180ca25cbf4chunk-8f738cb25d60a7dab782162d9d0a25edchunk-94bea83e7153fc2064aa382b494936a1'} +2024-10-30 06:50:47,571 - lightrag - INFO - get_edge:query: + MATCH (start:`MR. MARLEY`)-[r]->(end:`SCROOGE`) + RETURN properties(r) as edge_properties + LIMIT 1 + :result:{'keywords': '"past connection, isolation"', 'weight': 7.0, 'description': '"Scrooge reflects on Mr. Marley\'s death, highlighting his isolation and connection to past values that he now rejects."', 'source_id': 'chunk-5dac41b3f9eeaf794f0147400b1718cd'} +2024-10-30 06:50:47,664 - lightrag - INFO - get_edge:query: + MATCH (start:`CHRISTMAS`)-[r]->(end:`GROCERS'`) + RETURN properties(r) as edge_properties + LIMIT 1 + :result:{'keywords': '"retail, festive celebration"', 'weight': 16.0, 'description': '"The Grocers\' organization plays a crucial role during Christmas by providing goods that contribute to the festive spirit."', 'source_id': 'chunk-99b0ec7f7e006561352b5d65e849611d'} +2024-10-30 06:50:47,759 - lightrag - INFO - get_edge:query: + MATCH (start:`CHRISTMAS`)-[r]->(end:`THE DINNER`) + RETURN properties(r) as edge_properties + LIMIT 1 + :result:{'keywords': '"festive occasion, celebration"', 'weight': 20.0, 'description': '"The Dinner is part of the Christmas celebration, reflecting the traditions and spirit associated with this holiday."', 'source_id': 'chunk-503f0bfa5453467c7c61d160a3540eca'} +2024-10-30 06:50:47,854 - lightrag - INFO - get_edge:query: + MATCH (start:`APPLES`)-[r]->(end:`CHRISTMAS`) + RETURN properties(r) as edge_properties + LIMIT 1 + :result:{'keywords': '"seasonal offerings, tradition"', 'weight': 6.0, 'description': '"Apples are featured in markets during Christmas, indicating traditional holiday fare."', 'source_id': 'chunk-99b0ec7f7e006561352b5d65e849611d'} +2024-10-30 06:50:47,949 - lightrag - INFO - get_edge:query: + MATCH (start:`CLOCK`)-[r]->(end:`SCROOGE`) + RETURN properties(r) as edge_properties + LIMIT 1 + :result:{'keywords': '"time symbolism, anxiety"', 'weight': 14.0, 'description': '"Scrooge\'s observations of the Clock reflect his anxiety over time and the supernatural events unfolding around him."', 'source_id': 'chunk-c7b10789a9cb0af6c553730b29bd9034'} +2024-10-30 06:50:48,042 - lightrag - INFO - get_edge:query: + MATCH (start:`SCROOGE`)-[r]->(end:`THE WAREHOUSE`) + RETURN properties(r) as edge_properties + LIMIT 1 + :result:{'keywords': '"business partnership, character motivation""memories, apprenticeship"', 'weight': 16.0, 'description': '"Scrooge\'s connection to the Warehouse emphasizes his memories of apprenticeship and his past experiences.""The Warehouse symbolizes Scrooge\'s business practices and his partnership with Marley, shaping his character\'s motivations."', 'source_id': 'chunk-c6c248858d1b13ab7ee9ca13c1aeed6bchunk-89777b838d5447c7bd1ec11282c4ee89'} +2024-10-30 06:50:48,132 - lightrag - INFO - get_edge:query: + MATCH (start:`JACOB MARLEY`)-[r]->(end:`SCROOGE`) + RETURN properties(r) as edge_properties + LIMIT 1 + :result:{'keywords': '"catalyst for change, supernatural guidance""past influence, warning""redemption, influence""redemption, moral lesson""redemption, spiritual influence""self-reflection, legacy""supernatural encounter, past ties""transformation, influence""warning, catalyst""warning, consequence""warning, transformation"', 'weight': 98.0, 'description': '"Jacob Marley influences Scrooge\'s transformation by appearing as a spirit to warn him.""Jacob Marley is the spirit who brings forth the need for Scrooge to change his ways, impacting his character development.""Scrooge confronts Jacob Marley, his former business partner, who returns as a ghost to influence Scrooge\'s perspective on life and his actions.""Scrooge converses with the ghost of Jacob Marley, who tries to guide him toward understanding the importance of compassion and the consequences of his actions.""Scrooge interacts with Jacob Marley, who serves as a critical warning for Scrooge to change his ways before it\'s too late.""Scrooge reflects on Jacob Marley’s past warnings, which serve as a catalyst for his transformation.""Scrooge\'s transformation is prompted by the appearance and message of Jacob Marley, his former business partner.""Jacob Marley warns Scrooge about his fate and the importance of change, acting as a catalyst for Scrooge\'s transformation.""Scrooge acknowledges Jacob Marley, recognizing his former business partner\'s lost opportunities and the implications for his own life.""Scrooge is visited by Jacob Marley, who warns him about his fate and the necessity for personal change to avoid a bleak future.""Scrooge\'s transformation is influenced by Jacob Marley\'s ghost, who represents the consequences of a life poorly lived."', 'source_id': 'chunk-90b95db5c53e4364a6bee36b7aa4d70fchunk-359187e7571bda4b0b08b2e0b6581e52chunk-da2472b4ef2a535b62908f14d0fb0ca9chunk-02baee20cc9463dbe08170a8e1043e32chunk-1aa50206d02ed89418f65f97c6441d1cchunk-91572b3cd42786ba4cb2f180ca25cbf4chunk-cb661c37436355ccec2769b1d0350c5f'} +2024-10-30 06:50:48,236 - lightrag - INFO - get_edge:query: + MATCH (start:`CITY`)-[r]->(end:`SCROOGE`) + RETURN properties(r) as edge_properties + LIMIT 1 + :result:{'keywords': '"indifference, societal critique""societal impact, personal change"', 'weight': 15.0, 'description': '"Scrooge experiences the indifference of the City towards his death, illustrating societal apathy.""Scrooge\'s transformation is set against the backdrop of the City, reflecting the societal implications of his personal changes."', 'source_id': 'chunk-843b5b2f944c7413d9ca876e2e2f151fchunk-02baee20cc9463dbe08170a8e1043e32'} +2024-10-30 06:50:48,330 - lightrag - INFO - get_edge:query: + MATCH (start:`SCROOGE`)-[r]->(end:`THE YOUNG GIRL`) + RETURN properties(r) as edge_properties + LIMIT 1 + :result:{'keywords': '"reflection, lost love"', 'weight': 8.0, 'description': '"Scrooge reflects on his past feelings for the Young Girl, recognizing the change in his own spirit and desires over time."', 'source_id': 'chunk-54bdd22db1f84a965b5f4c06c9216d8d'} +2024-10-30 06:50:48,422 - lightrag - INFO - get_edge:query: + MATCH (start:`CHRISTMAS`)-[r]->(end:`THE SPIRIT`) + RETURN properties(r) as edge_properties + LIMIT 1 + :result:{'keywords': '"holiday spirit, compassion""seasonal influence, moral reflection"', 'weight': 34.0, 'description': '"The Spirit connects various scenes to the theme of Christmas, emphasizing its impact on individuals’ attitudes and behaviors.""The Spirit connects various scenes to the theme of Christmas, emphasizing its impact on individuals’ attitudes and behaviors.""The Spirit\'s appearances highlight the themes of Christmas and the importance of compassion and community.""The Spirit\'s appearances highlight the themes of Christmas and the importance of compassion and community."', 'source_id': 'chunk-91614df5cb74cbe5e109a338a82041e9chunk-da2472b4ef2a535b62908f14d0fb0ca9'} +2024-10-30 06:50:48,515 - lightrag - INFO - get_edge:query: + MATCH (start:`CHRISTMAS`)-[r]->(end:`THE LIGHTHOUSE`) + RETURN properties(r) as edge_properties + LIMIT 1 + :result:{'keywords': '"hope, celebration"', 'weight': 14.0, 'description': '"The Lighthouse is a site where Christmas is celebrated, symbolizing hope and warmth in a bleak environment."', 'source_id': 'chunk-91614df5cb74cbe5e109a338a82041e9'} +2024-10-30 06:50:48,702 - lightrag - INFO - get_edge:query: + MATCH (start:`SCROOGE`)-[r]->(end:`SCROOGE'S NIECE`) + RETURN properties(r) as edge_properties + LIMIT 1 + :result:{'keywords': '"family bonds, celebration""family conflict, holiday spirit""family dynamics, transformation""ideological conflict, family dynamics"', 'weight': 30.0, 'description': '"Scrooge observes his niece enjoying the Christmas festivities, which influences his own mood and perspective towards the holiday spirit.""Scrooge\'s Niece expresses indignation towards Scrooge\'s belief that Christmas is a humbug, demonstrating her strong opinions against his views.""Scrooge\'s niece embraces the joyful atmosphere of the celebration, engaging with family and inviting good-natured fun.""Scrooge\'s Niece shows indignation toward Scrooge\'s negativity about Christmas, highlighting the familial tensions between them."', 'source_id': 'chunk-773d0df1dd25c356f7b771d780583e09chunk-43c9bee23adfa77aa9dedd22401bba7d'} +2024-10-30 06:50:48,795 - lightrag - INFO - get_edge:query: + MATCH (start:`SCROOGE`)-[r]->(end:`THE GIRL`) + RETURN properties(r) as edge_properties + LIMIT 1 + :result:{'keywords': '"family ties, kindness"', 'weight': 8.0, 'description': '"Scrooge\'s pleasant interaction with The Girl at Fred\'s house shows his desire for family connection and warmth."', 'source_id': 'chunk-8f738cb25d60a7dab782162d9d0a25ed'} +2024-10-30 06:50:48,890 - lightrag - INFO - get_edge:query: + MATCH (start:`SCROOGE`)-[r]->(end:`THE POULTERER'S`) + RETURN properties(r) as edge_properties + LIMIT 1 + :result:{'keywords': '"generosity, commerce"', 'weight': 8.0, 'description': '"Scrooge interacts with The Poulterer\'s to purchase a turkey as an act of generosity toward Bob Cratchit\'s family."', 'source_id': 'chunk-90b95db5c53e4364a6bee36b7aa4d70f'} +2024-10-30 06:50:48,983 - lightrag - INFO - get_edge:query: + MATCH (start:`THE CRATCHIT HOUSE`)-[r]->(end:`THE DEBT`) + RETURN properties(r) as edge_properties + LIMIT 1 + :result:{'keywords': '"financial burden, atmosphere"', 'weight': 18.0, 'description': '"The Debt looms over The Cratchit House, contributing to the emotional atmosphere and fears of its inhabitants during the story."', 'source_id': 'chunk-83ac129dc9b56f84c46760d153d68e93'} +2024-10-30 06:50:49,076 - lightrag - INFO - get_edge:query: + MATCH (start:`JOE`)-[r]->(end:`THE WOMAN`) + RETURN properties(r) as edge_properties + LIMIT 1 + :result:{'keywords': '"conversational dynamics, materialism""dialogue, humor, death""humor, interaction""social interaction, community dynamics"', 'weight': 23.0, 'description': '"Joe and The Woman are engaged in a discussion about the deceased man’s belongings, illustrating their shared perspective on material possessions.""Joe and The Woman engage in a conversation, highlighting community dynamics and common social interactions among friends or acquaintances.""Joe and The Woman engage in dialogue about the deceased\'s belongings, showcasing their interactions and differing attitudes towards death.""Joe and The Woman share a humorous exchange about the bed-curtains, reflecting the jovial spirit of the gathering."', 'source_id': 'chunk-e1f29eeadc1d8ab46dc8a0bbd3c56b64chunk-89777b838d5447c7bd1ec11282c4ee89'} +2024-10-30 06:50:49,169 - lightrag - INFO - get_edge:query: + MATCH (start:`CHRISTMAS HOLIDAYS`)-[r]->(end:`SCROOGE`) + RETURN properties(r) as edge_properties + LIMIT 1 + :result:{'keywords': '"transformation, significance of time"', 'weight': 16.0, 'description': '"Christmas Holidays are integral to Scrooge\'s journey, representing the time of year that prompts his change and reinstates joy."', 'source_id': 'chunk-e7637ff18c5ded77a68cce0a87883fad'} +2024-10-30 06:50:49,261 - lightrag - INFO - get_edge:query: + MATCH (start:`SCROOGE`)-[r]->(end:`THE GOLDEN IDOL`) + RETURN properties(r) as edge_properties + LIMIT 1 + :result:{'keywords': '"materialism, lost connections"', 'weight': 20.0, 'description': '"The Golden Idol represents the materialistic pursuits that have displaced meaningful connections in Scrooge\'s life."', 'source_id': 'chunk-b2f98bc7abb0c67d4c86055c7fd72218'} +2024-10-30 06:50:49,356 - lightrag - INFO - get_edge:query: + MATCH (start:`OLD SCRATCH`)-[r]->(end:`THE FUNERAL`) + RETURN properties(r) as edge_properties + LIMIT 1 + :result:{'keywords': '"morbid humor, societal views"', 'weight': 14.0, 'description': '"The concept of Old Scratch is invoked in the context of discussions about The Funeral, highlighting societal attitudes towards death."', 'source_id': 'chunk-f1a4fbcf1ed86864b9bfd5e8dba4c683'} +2024-10-30 06:50:49,451 - lightrag - INFO - get_edge:query: + MATCH (start:`MARLEY'S FUNERAL`)-[r]->(end:`SCROOGE`) + RETURN properties(r) as edge_properties + LIMIT 1 + :result:{'keywords': '"loss, character journey"', 'weight': 18.0, 'description': '"Marley\'s Funeral signifies the beginning of Scrooge\'s emotional journey, showcasing his reaction to loss and setting the stage for the narrative."', 'source_id': 'chunk-89777b838d5447c7bd1ec11282c4ee89'} +2024-10-30 06:50:49,547 - lightrag - INFO - get_edge:query: + MATCH (start:`SCROOGE`)-[r]->(end:`THE OBSCURE PART OF TOWN`) + RETURN properties(r) as edge_properties + LIMIT 1 + :result:{'keywords': '"confrontation, societal reflection"', 'weight': 9.0, 'description': '"Scrooge\'s journey leads him to the Obscure Part of Town, representing his confrontation with the darker aspects of life and society."', 'source_id': 'chunk-f1a4fbcf1ed86864b9bfd5e8dba4c683'} +2024-10-30 06:50:49,639 - lightrag - INFO - get_edge:query: + MATCH (start:`BOB CRATCHIT`)-[r]->(end:`THE GATHERING`) + RETURN properties(r) as edge_properties + LIMIT 1 + :result:{'keywords': '"family commitment, celebration"', 'weight': 16.0, 'description': '"Bob Cratchit leads his family in the Christmas Gathering, showcasing their love and commitment to celebrating together despite worries."', 'source_id': 'chunk-19d72c57ae3408758b18d2568e86dc6b'} +2024-10-30 06:50:49,735 - lightrag - INFO - get_edge:query: + MATCH (start:`CHRISTMAS PUDDING`)-[r]->(end:`CRATCHIT FAMILY`) + RETURN properties(r) as edge_properties + LIMIT 1 + :result:{'keywords': '"family unity, celebration"', 'weight': 10.0, 'description': '"The Cratchit Family gathers around to enjoy the Christmas Pudding, demonstrating their togetherness and festive spirit."', 'source_id': 'chunk-503f0bfa5453467c7c61d160a3540eca'} +2024-10-30 06:50:49,828 - lightrag - INFO - get_edge:query: + MATCH (start:`OLD SCROOGE`)-[r]->(end:`SCROOGE`) + RETURN properties(r) as edge_properties + LIMIT 1 + :result:{'keywords': '"character history, development"', 'weight': 14.0, 'description': '"Scrooge\'s history is revealed through the mention of Old Scrooge, indicating his past beliefs and practices that shape his current persona."', 'source_id': 'chunk-89777b838d5447c7bd1ec11282c4ee89'} +2024-10-30 06:50:49,921 - lightrag - INFO - get_edge:query: + MATCH (start:`SCROOGE`)-[r]->(end:`THE DARKNESS`) + RETURN properties(r) as edge_properties + LIMIT 1 + :result:{'keywords': '"internal struggle, unknown"', 'weight': 12.0, 'description': '"Scrooge finds himself enveloped by The Darkness, representing his internal struggle and the unknown future he faces."', 'source_id': 'chunk-cb661c37436355ccec2769b1d0350c5f'} +2024-10-30 06:50:50,018 - lightrag - INFO - get_edge:query: + MATCH (start:`BOB CRATCHIT`)-[r]->(end:`CAROLINE`) + RETURN properties(r) as edge_properties + LIMIT 1 + :result:{'keywords': '"hope, financial strain""marital struggle, economic challenges"', 'weight': 14.0, 'description': '"Caroline and Bob Cratchit represent a married couple grappling with the implications of financial stress and loss in their family.""Caroline expresses hope combined with anxiety regarding their financial situation, affecting her relationship with Bob Cratchit."', 'source_id': 'chunk-83ac129dc9b56f84c46760d153d68e93'} +2024-10-30 06:50:50,110 - lightrag - INFO - get_edge:query: + MATCH (start:`CHESTNUTS`)-[r]->(end:`CHRISTMAS`) + RETURN properties(r) as edge_properties + LIMIT 1 + :result:{'keywords': '"festive foods, sensory experiences"', 'weight': 8.0, 'description': '"Chestnuts are sold during Christmas, contributing to the sensory experience of the holiday."', 'source_id': 'chunk-99b0ec7f7e006561352b5d65e849611d'} +2024-10-30 06:50:50,204 - lightrag - INFO - get_edge:query: + MATCH (start:`THE LOW-BROWED SHOP`)-[r]->(end:`THE TOWN`) + RETURN properties(r) as edge_properties + LIMIT 1 + :result:{'keywords': '"socioeconomic issues, decay"', 'weight': 14.0, 'description': '"The Low-Browed Shop exists within The Town, reflecting its degradation and the poor conditions of its inhabitants."', 'source_id': 'chunk-f1a4fbcf1ed86864b9bfd5e8dba4c683'} +2024-10-30 06:50:50,297 - lightrag - INFO - get_edge:query: + MATCH (start:`SCROOGE`)-[r]->(end:`THE OLD GENTLEMAN`) + RETURN properties(r) as edge_properties + LIMIT 1 + :result:{'keywords': '"kindness, transformation"', 'weight': 18.0, 'description': '"Scrooge shows kindness and generosity to The Old Gentleman, marking a significant change in his character and relationships."', 'source_id': 'chunk-8f738cb25d60a7dab782162d9d0a25ed'} +2024-10-30 06:50:50,392 - lightrag - INFO - get_edge:query: + MATCH (start:`HOME`)-[r]->(end:`THE MOTHER`) + RETURN properties(r) as edge_properties + LIMIT 1 + :result:{'keywords': '"family unity, celebration"', 'weight': 18.0, 'description': '"Home is where The Mother organizes the family Christmas celebration, serving as the heart of their togetherness."', 'source_id': 'chunk-da2472b4ef2a535b62908f14d0fb0ca9'} +2024-10-30 06:50:50,489 - lightrag - INFO - get_edge:query: + MATCH (start:`SCROOGE`)-[r]->(end:`THE BED`) + RETURN properties(r) as edge_properties + LIMIT 1 + :result:{'keywords': '"contemplation, mortality"', 'weight': 9.0, 'description': '"Scrooge observes The Bed where The Deceased lies, prompting profound thoughts on mortality and regret."', 'source_id': 'chunk-e1f29eeadc1d8ab46dc8a0bbd3c56b64'} +2024-10-30 06:50:50,584 - lightrag - INFO - get_edge:query: + MATCH (start:`SCROOGE`)-[r]->(end:`THE DRESSING-GOWN`) + RETURN properties(r) as edge_properties + LIMIT 1 + :result:{'keywords': '"characterization, solitude"', 'weight': 7.0, 'description': '"The Dressing-Gown emphasizes Scrooge\'s character as a solitary, reclusive man, reinforcing his isolation during the haunting."', 'source_id': 'chunk-9c43dac2fcd5b578242d907ea6f8fc7b'} +2024-10-30 06:50:50,680 - lightrag - INFO - get_edge:query: + MATCH (start:`SCROOGE`)-[r]->(end:`SUNDAY CLOTHES BOY`) + RETURN properties(r) as edge_properties + LIMIT 1 + :result:{'keywords': '"kindness, generosity"', 'weight': 7.0, 'description': '"Scrooge\'s interaction with the Sunday Clothes Boy highlights his evolving attitude towards generosity and kindness."', 'source_id': 'chunk-90b95db5c53e4364a6bee36b7aa4d70f'} +2024-10-30 06:50:50,775 - lightrag - INFO - get_edge:query: + MATCH (start:`SCROOGE`)-[r]->(end:`THE YARD`) + RETURN properties(r) as edge_properties + LIMIT 1 + :result:{'keywords': '"isolation, emotional landscape"', 'weight': 16.0, 'description': '"The Yard represents the isolation in Scrooge\'s life, physically and metaphorically reflecting his emotional state."', 'source_id': 'chunk-d9aac3484185ac66045df92214d245d5'} +2024-10-30 06:50:50,869 - lightrag - INFO - get_edge:query: + MATCH (start:`CHRISTMAS EVE`)-[r]->(end:`SCROOGE`) + RETURN properties(r) as edge_properties + LIMIT 1 + :result:{'keywords': '"holiday spirit, character development"', 'weight': 16.0, 'description': '"Scrooge\'s actions and attitudes towards Christmas Eve highlight his disdain for traditional celebrations, setting the tone for his character arc."', 'source_id': 'chunk-d9aac3484185ac66045df92214d245d5'} +2024-10-30 06:50:50,964 - lightrag - INFO - get_edge:query: + MATCH (start:`COLD WEATHER`)-[r]->(end:`SCROOGE`) + RETURN properties(r) as edge_properties + LIMIT 1 + :result:{'keywords': '"atmosphere, personality mirror"', 'weight': 18.0, 'description': '"The cold weather reflects Scrooge\'s icy demeanor, emphasizing his negative attitude towards life and others."', 'source_id': 'chunk-74e2466de2f67fd710ef2f20c0a8d9e0'} +2024-10-30 06:50:51,062 - lightrag - INFO - get_edge:query: + MATCH (start:`MARLEY`)-[r]->(end:`SCROOGE`) + RETURN properties(r) as edge_properties + LIMIT 1 + :result:{'keywords': '"ghostly encounter, transformation""mourning, partnership""partnership, regret""past influence, personal history""past influence, regret""redemption, confrontation""reflection, theme of regret""supernatural connection, past relationships"', 'weight': 65.0, 'description': '"Marley’s influence and past relationship with Scrooge is indicated, suggesting a connection that impacts Scrooge\'s character growth.""Scrooge is deeply affected by Marley\'s death, illustrated through his role as the sole executor and mourner of Marley.""Scrooge reflects on Marley, revealing his past connection and the haunting aspect of Marley\'s death, which influences Scrooge\'s character arc.""Scrooge\'s encounter with Marley’s Ghost serves as a confrontation with his past self and the life choices he regrets, depicting the theme of redemption.""Scrooge and Marley were business partners, and Marley\'s death greatly impacts Scrooge, highlighting themes of loss and regret.""Scrooge encounters Marley’s ghost, which challenges his beliefs and signifies the start of his transformation.""Scrooge reflects on Marley\'s death, indicating the profound effect it had on his life, shaping his current perspective on generosity and the holidays.""Scrooge\'s reflection on Marley underscores the theme of regret and the potential for change in his character\'s journey."', 'source_id': 'chunk-5dac41b3f9eeaf794f0147400b1718cdchunk-89777b838d5447c7bd1ec11282c4ee89chunk-d9aac3484185ac66045df92214d245d5chunk-9c43dac2fcd5b578242d907ea6f8fc7bchunk-843b5b2f944c7413d9ca876e2e2f151f'} +2024-10-30 06:50:51,154 - lightrag - INFO - get_edge:query: + MATCH (start:`FRED`)-[r]->(end:`SCROOGE`) + RETURN properties(r) as edge_properties + LIMIT 1 + :result:{'keywords': '"family connection, goodwill""family connection, reconciliation""family ties, contrast""family ties, redemption""family, contrast""family, reconciliatory""family, rekindled relationships""family, transformation""rejection, familial dynamics"', 'weight': 66.0, 'description': '"Fred attempts to reach out to Scrooge for family connections, representing the warmth of familial love against Scrooge\'s coldness.""Fred expresses admiration and gratitude for Scrooge, highlighting the family connection and the hope for Scrooge\'s redemption.""Fred\'s joyful and loving nature in contrast to Scrooge\'s bitterness illustrates the theme of familial love versus isolation.""Scrooge and Fred share a familial bond, with Fred expressing goodwill and celebrating Scrooge despite his uncle\'s previous behavior.""Scrooge expresses a desire to visit Fred, which signifies a reconciliatory gesture toward his family.""Scrooge surprises Fred with his unexpected visit, indicating a shift in their familial relationship and Scrooge\'s attitude toward family.""Scrooge\'s interaction with Fred emphasizes his rejection of familial warmth during the Christmas season.""Scrooge visits his nephew Fred, demonstrating the rekindling of family ties and the spirit of Christmas.""Scrooge\'s visit to Fred signifies a reconnection with family and a shift towards embracing Christmas spirit."', 'source_id': 'chunk-89777b838d5447c7bd1ec11282c4ee89chunk-e7637ff18c5ded77a68cce0a87883fadchunk-9e3921da66da5d761ab73cd849af6c43chunk-94bea83e7153fc2064aa382b494936a1chunk-8f738cb25d60a7dab782162d9d0a25ed'} +2024-10-30 06:50:51,248 - lightrag - INFO - get_edge:query: + MATCH (start:`SCROOGE`)-[r]->(end:`SCROOGE'S NEPHEW`) + RETURN properties(r) as edge_properties + LIMIT 1 + :result:{'keywords': '"family conflict, contrasting views""family conflict, differing perspectives""family dynamics, contrast""family dynamics, contrasting views""family dynamics, holiday spirit""family dynamics, opposing views""family, festive spirit"', 'weight': 56.0, 'description': '"Scrooge and his nephew engage in a verbal exchange where the nephew represents joy and celebration, contrasting with Scrooge\'s cynicism and disdain.""Scrooge\'s Nephew attempts to encourage Scrooge to embrace Christmas and reconcile despite Scrooge\'s insistence on maintaining his disdain.""Scrooge\'s Nephew contrasts with Scrooge, advocating for merriment and showing pity for his uncle\'s ill tempers.""Scrooge\'s Nephew tries to cheer Scrooge up and promote the joy of Christmas, but is met with rejection and negativity.""Scrooge\'s Nephew tries to convince Scrooge of the joys of Christmas, illustrating the conflict between their differing views on the holiday.""Scrooge\'s Nephew often expresses pity for Scrooge, believing that Scrooge loses more by avoiding family gatherings and Christmas cheer.""Scrooge\'s relationship with his nephew highlights the contrast between their different views on Christmas and joy."', 'source_id': 'chunk-91614df5cb74cbe5e109a338a82041e9chunk-773d0df1dd25c356f7b771d780583e09chunk-5dac41b3f9eeaf794f0147400b1718cdchunk-74e2466de2f67fd710ef2f20c0a8d9e0'} +2024-10-30 06:50:51,338 - lightrag - INFO - get_edge:query: + MATCH (start:`GHOST OF CHRISTMAS YET TO COME`)-[r]->(end:`SPIRIT`) + RETURN properties(r) as edge_properties + LIMIT 1 + :result:{'keywords': '"foreshadowing, guidance"', 'weight': 7.0, 'description': '"The Spirit is connected to the Ghost of Christmas Yet to Come as both serve to illustrate potential future outcomes for Scrooge."', 'source_id': 'chunk-02baee20cc9463dbe08170a8e1043e32'} +2024-10-30 06:50:51,438 - lightrag - INFO - get_edge:query: + MATCH (start:`MISERY'S REFUGE`)-[r]->(end:`SPIRIT`) + RETURN properties(r) as edge_properties + LIMIT 1 + :result:{'keywords': '"social awareness, empathy"', 'weight': 10.0, 'description': '"The Spirit\'s presence in Misery\'s Refuge underscores the necessity for societal compassion during difficult times."', 'source_id': 'chunk-e7637ff18c5ded77a68cce0a87883fad'} +2024-10-30 06:50:51,532 - lightrag - INFO - get_edge:query: + MATCH (start:`SCROOGE`)-[r]->(end:`THE CHURCH`) + RETURN properties(r) as edge_properties + LIMIT 1 + :result:{'keywords': '"community, spirituality"', 'weight': 9.0, 'description': '"Scrooge\'s visit to The Church reflects his desire to embrace the spirit of Christmas and community engagement."', 'source_id': 'chunk-8f738cb25d60a7dab782162d9d0a25ed'} +2024-10-30 06:50:51,625 - lightrag - INFO - get_edge:query: + MATCH (start:`CHRISTMAS`)-[r]->(end:`PEARS`) + RETURN properties(r) as edge_properties + LIMIT 1 + :result:{'keywords': '"seasonal offerings, tradition"', 'weight': 6.0, 'description': '"Pears are part of the fruits offered during the Christmas season, enhancing festive markets."', 'source_id': 'chunk-99b0ec7f7e006561352b5d65e849611d'} +2024-10-30 06:50:51,721 - lightrag - INFO - get_edge:query: + MATCH (start:`THE FATHER`)-[r]->(end:`THE MOTHER`) + RETURN properties(r) as edge_properties + LIMIT 1 + :result:{'keywords': '"family bond, love""family dynamics, togetherness"', 'weight': 14.0, 'description': '"The Father and The Mother share a loving relationship, supporting each other during the festivities and caring for their family.""The Mother and Father are depicted together, emphasizing family dynamics during the festive occasion."', 'source_id': 'chunk-da2472b4ef2a535b62908f14d0fb0ca9'} +2024-10-30 06:50:51,818 - lightrag - INFO - get_edge:query: + MATCH (start:`SCROOGE`)-[r]->(end:`THE PEOPLE`) + RETURN properties(r) as edge_properties + LIMIT 1 + :result:{'keywords': '"community, joy"', 'weight': 8.0, 'description': '"Scrooge greets The People he encounters with joy and a newfound delight, signaling his welcome transformation."', 'source_id': 'chunk-8f738cb25d60a7dab782162d9d0a25ed'} +2024-10-30 06:50:51,910 - lightrag - INFO - get_edge:query: + MATCH (start:`CRATCHIT FAMILY`)-[r]->(end:`SCROOGE`) + RETURN properties(r) as edge_properties + LIMIT 1 + :result:{'keywords': '"compassion, social awareness"', 'weight': 7.0, 'description': '"Scrooge\'s reflections on the Cratchit family\'s situation symbolize his evolving understanding of compassion and social responsibility."', 'source_id': 'chunk-83ac129dc9b56f84c46760d153d68e93'} +2024-10-30 06:50:52,010 - lightrag - INFO - get_edge:query: + MATCH (start:`CRATCHIT FAMILY`)-[r]->(end:`MRS. CRATCHIT`) + RETURN properties(r) as edge_properties + LIMIT 1 + :result:{'keywords': '"nurturing, familial care"', 'weight': 9.0, 'description': '"Mrs. Cratchit plays a significant role in nurturing the family atmosphere during Christmas by preparing and caring for everyone."', 'source_id': 'chunk-7e2e7ebcc19a53b399dc03aded4743e7'} +2024-10-30 06:50:52,100 - lightrag - INFO - get_edge:query: + MATCH (start:`CHRISTMAS-TIME`)-[r]->(end:`THE PHANTOM`) + RETURN properties(r) as edge_properties + LIMIT 1 + :result:{'keywords': '"supernatural influence, time of reflection"', 'weight': 8.0, 'description': '"The Phantom\'s visits coincide with Christmas time, a time symbolizing reflection, redemption, and moral awakening."', 'source_id': 'chunk-f1a4fbcf1ed86864b9bfd5e8dba4c683'} +2024-10-30 06:50:52,193 - lightrag - INFO - get_edge:query: + MATCH (start:`CHRISTMAS`)-[r]->(end:`GREAT BRITAIN`) + RETURN properties(r) as edge_properties + LIMIT 1 + :result:{'keywords': '"celebration, societal mood""cultural context, celebration"', 'weight': 14.0, 'description': '"Christmas takes place within Great Britain, influencing the cultural depiction of the holiday and the activities that occur.")"The celebration of Christmas brings a cheerful atmosphere to Great Britain despite the gloomy weather conditions."', 'source_id': 'chunk-99b0ec7f7e006561352b5d65e849611d'} +2024-10-30 06:50:52,285 - lightrag - INFO - get_edge:query: + MATCH (start:`GHOST OF CHRISTMAS YET TO COME`)-[r]->(end:`SCROOGE`) + RETURN properties(r) as edge_properties + LIMIT 1 + :result:{'keywords': '"forewarning, change""future consequences, redemption"', 'weight': 38.0, 'description': '"The Ghost of Christmas Yet to Come presents a foreboding vision of Scrooge\'s future, driving home the need for personal change.""The Ghost of Christmas Yet to Come presents a foreboding vision of Scrooge\'s future, driving home the need for personal change.""The Ghost shows Scrooge visions of the future, challenging him to change his ways to avoid a grim destiny.""The Ghost shows Scrooge visions of the future, challenging him to change his ways to avoid a grim destiny."', 'source_id': 'chunk-02baee20cc9463dbe08170a8e1043e32chunk-9e3921da66da5d761ab73cd849af6c43'} +2024-10-30 06:50:52,380 - lightrag - INFO - get_edge:query: + MATCH (start:`CHRISTMAS`)-[r]->(end:`HOLLY`) + RETURN properties(r) as edge_properties + LIMIT 1 + :result:{'keywords': '"festive decorations, holiday spirit"', 'weight': 8.0, 'description': '"Holly contributes to the festive decorations associated with the Christmas celebration."', 'source_id': 'chunk-99b0ec7f7e006561352b5d65e849611d'} +2024-10-30 06:50:52,473 - lightrag - INFO - get_edge:query: + MATCH (start:`SCROOGE`)-[r]->(end:`SHADOW OF HIMSELF`) + RETURN properties(r) as edge_properties + LIMIT 1 + :result:{'keywords': '"introspection, personal growth"', 'weight': 9.0, 'description': '"Scrooge hopes to learn from the Shadow of Himself, signifying his desire for personal growth and understanding of his life choices."', 'source_id': 'chunk-f1a4fbcf1ed86864b9bfd5e8dba4c683'} +2024-10-30 06:50:52,566 - lightrag - INFO - get_edge:query: + MATCH (start:`SCROOGE`)-[r]->(end:`THE CLERK`) + RETURN properties(r) as edge_properties + LIMIT 1 + :result:{'keywords': '"contrast in attitudes, workplace dynamics""unfair treatment, workplace dynamics"', 'weight': 13.0, 'description': '"Scrooge\'s treatment of the Clerk highlights his miserly and cruel nature, contributing to an oppressive work environment.""The Clerk represents the festive spirit of Christmas that Scrooge dismisses, showcasing Scrooge\'s coldness."', 'source_id': 'chunk-74e2466de2f67fd710ef2f20c0a8d9e0chunk-5dac41b3f9eeaf794f0147400b1718cd'} +2024-10-30 06:50:52,662 - lightrag - INFO - get_edge:query: + MATCH (start:`SCROOGE`)-[r]->(end:`THE GHOST OF JACOB MARLEY`) + RETURN properties(r) as edge_properties + LIMIT 1 + :result:{'keywords': '"transformation, warning"', 'weight': 10.0, 'description': '"Scrooge\'s encounter with the Ghost of Jacob Marley initiates his journey of self-reflection and realization."', 'source_id': 'chunk-90b95db5c53e4364a6bee36b7aa4d70f'} +2024-10-30 06:50:52,753 - lightrag - INFO - get_edge:query: + MATCH (start:`CHRISTMAS`)-[r]->(end:`GEESE`) + RETURN properties(r) as edge_properties + LIMIT 1 + :result:{'keywords': '"culinary tradition, celebration"', 'weight': 9.0, 'description': '"Geese are commonly served at Christmas dinners, forming part of the holiday feast."', 'source_id': 'chunk-99b0ec7f7e006561352b5d65e849611d'} +2024-10-30 06:50:52,849 - lightrag - INFO - get_edge:query: + MATCH (start:`SCROOGE`)-[r]->(end:`THE MAIN STREET`) + RETURN properties(r) as edge_properties + LIMIT 1 + :result:{'keywords': '"social dynamics, personal struggle"', 'weight': 6.0, 'description': '"Scrooge\'s experiences on The Main Street during Christmas time reflect his discontent with the surrounding joy and celebrations."', 'source_id': 'chunk-90d5764e301321c087f5a8f78b73a145'} +2024-10-30 06:50:52,945 - lightrag - INFO - get_edge:query: + MATCH (start:`SCROOGE`)-[r]->(end:`VALENTINE`) + RETURN properties(r) as edge_properties + LIMIT 1 + :result:{'keywords': '"childhood, sentiment""family memories, nostalgia"', 'weight': 12.0, 'description': '"Scrooge\'s memory of Valentine and Orson illustrates the childhood connections that shape his sentiments during Christmas.""Scrooge\'s mention of Valentine signifies his memories of familial ties and childhood experiences during Christmas."', 'source_id': 'chunk-8590d9263cd2cd4fa583c432fc54e6c3'} +2024-10-30 06:50:53,038 - lightrag - INFO - get_edge:query: + MATCH (start:`SCROOGE`)-[r]->(end:`THE GHOST OF CHRISTMAS FUTURE`) + RETURN properties(r) as edge_properties + LIMIT 1 + :result:{'keywords': '"consequences, transformation"', 'weight': 8.0, 'description': '"The Ghost of Christmas Future reveals the dire consequences of Scrooge\'s current behavior, prompting a desire for change."', 'source_id': 'chunk-90b95db5c53e4364a6bee36b7aa4d70f'} +2024-10-30 06:50:53,129 - lightrag - INFO - get_edge:query: + MATCH (start:`SCROOGE`)-[r]->(end:`TWELFTH-NIGHT PARTY`) + RETURN properties(r) as edge_properties + LIMIT 1 + :result:{'keywords': '"celebration, contrast"', 'weight': 8.0, 'description': '"The Twelfth-Night Party serves as a representation of festive joy that contrasts with Scrooge\'s initial isolation."', 'source_id': 'chunk-e7637ff18c5ded77a68cce0a87883fad'} +2024-10-30 06:50:53,223 - lightrag - INFO - get_edge:query: + MATCH (start:`THE CRATCHIT FAMILY`)-[r]->(end:`THE DINNER`) + RETURN properties(r) as edge_properties + LIMIT 1 + :result:{'keywords': '"family unity, celebration"', 'weight': 20.0, 'description': '"The Cratchit Family comes together for The Dinner, showcasing their unity and holiday spirit, despite their modest means."', 'source_id': 'chunk-503f0bfa5453467c7c61d160a3540eca'} +2024-10-30 06:50:53,318 - lightrag - INFO - get_edge:query: + MATCH (start:`BOB CRATCHIT`)-[r]->(end:`THE COUNTING-HOUSE`) + RETURN properties(r) as edge_properties + LIMIT 1 + :result:{'keywords': '"employment, servitude"', 'weight': 6.0, 'description': '"Bob Cratchit works at The Counting-House, emphasizing his servitude and the dismal working conditions under Scrooge."', 'source_id': 'chunk-d9aac3484185ac66045df92214d245d5'} +2024-10-30 06:50:53,413 - lightrag - INFO - get_edge:query: + MATCH (start:`DEATH`)-[r]->(end:`THE BED`) + RETURN properties(r) as edge_properties + LIMIT 1 + :result:{'keywords': '"finality, mortality"', 'weight': 16.0, 'description': '"Death is inherently linked to The Bed as the resting place of the deceased, symbolizing the finality of life and the legacy left behind."', 'source_id': 'chunk-e1f29eeadc1d8ab46dc8a0bbd3c56b64'} +2024-10-30 06:50:53,507 - lightrag - INFO - get_edge:query: + MATCH (start:`CITY`)-[r]->(end:`SPIRIT`) + RETURN properties(r) as edge_properties + LIMIT 1 + :result:{'keywords': '"atmospheric change, reality"', 'weight': 12.0, 'description': '"The Spirit’s presence affects the atmosphere of the City, showcasing the stark realities of life and death surrounding Scrooge."', 'source_id': 'chunk-02baee20cc9463dbe08170a8e1043e32'} +2024-10-30 06:50:53,599 - lightrag - INFO - get_edge:query: + MATCH (start:`CHRISTMAS FEAST`)-[r]->(end:`CRATCHIT FAMILY`) + RETURN properties(r) as edge_properties + LIMIT 1 + :result:{'keywords': '"family gathering, significance"', 'weight': 9.0, 'description': '"The Christmas Feast is a pivotal event for the Cratchit Family where they express their feelings and celebrate together."', 'source_id': 'chunk-19d72c57ae3408758b18d2568e86dc6b'} +2024-10-30 06:50:53,693 - lightrag - INFO - get_edge:query: + MATCH (start:`CRATCHIT FAMILY`)-[r]->(end:`MARTHA`) + RETURN properties(r) as edge_properties + LIMIT 1 + :result:{'keywords': '"family interaction, celebration"', 'weight': 7.0, 'description': '"Martha contributes to the family dynamic during their Christmas gathering by sharing her experiences and adding to the festive atmosphere."', 'source_id': 'chunk-19d72c57ae3408758b18d2568e86dc6b'} +2024-10-30 06:50:53,786 - lightrag - INFO - get_edge:query: + MATCH (start:`SCROOGE`)-[r]->(end:`THE BUSINESSMEN`) + RETURN properties(r) as edge_properties + LIMIT 1 + :result:{'keywords': '"societal apathy, lack of empathy"', 'weight': 8.0, 'description': '"Scrooge’s death is discussed among the Businessmen, who show a lack of concern, exemplifying the indifference of society."', 'source_id': 'chunk-02baee20cc9463dbe08170a8e1043e32'} +2024-10-30 06:50:53,880 - lightrag - INFO - get_edge:query: + MATCH (start:`SCROOGE`)-[r]->(end:`THE GENTLEMAN`) + RETURN properties(r) as edge_properties + LIMIT 1 + :result:{'keywords': '"charity, conflict of values""charity, social responsibility"', 'weight': 16.0, 'description': '"Scrooge and The Gentleman have opposing views on charity and helping the poor during Christmas, showing a stark contrast in values.""Scrooge and the Gentleman engage in a discussion about the responsibilities to the poor, underlining Scrooge\'s disdain for charitable contributions."', 'source_id': 'chunk-90d5764e301321c087f5a8f78b73a145'} +2024-10-30 06:50:53,976 - lightrag - INFO - get_edge:query: + MATCH (start:`JACOB MARLEY`)-[r]->(end:`THE GHOST`) + RETURN properties(r) as edge_properties + LIMIT 1 + :result:{'keywords': '"spectral representation, message delivery""spiritual guidance, past connections"', 'weight': 18.0, 'description': '"Jacob Marley is embodied by The Ghost, which serves to relay messages about regret and the imperative of kindness to Scrooge.""The Ghost is the spectral form of Jacob Marley, representing his ongoing existence and his desire to communicate a warning to Scrooge."', 'source_id': 'chunk-1aa50206d02ed89418f65f97c6441d1cchunk-359187e7571bda4b0b08b2e0b6581e52'} +2024-10-30 06:50:54,071 - lightrag - INFO - get_edge:query: + MATCH (start:`MASTER SCROOGE`)-[r]->(end:`SCROOGE`) + RETURN properties(r) as edge_properties + LIMIT 1 + :result:{'keywords': '"nostalgia, identity"', 'weight': 9.0, 'description': '"The young Master Scrooge represents Scrooge\'s earlier aspirations and innocence, contrasting with his current self."', 'source_id': 'chunk-c6c248858d1b13ab7ee9ca13c1aeed6b'} +2024-10-30 06:50:54,166 - lightrag - INFO - get_edge:query: + MATCH (start:`MANSION`)-[r]->(end:`SCROOGE`) + RETURN properties(r) as edge_properties + LIMIT 1 + :result:{'keywords': '"symbolism, emotional state"', 'weight': 16.0, 'description': '"The Mansion symbolizes the neglect and decay that parallels Scrooge\'s own emotional state and memories of his past."', 'source_id': 'chunk-8590d9263cd2cd4fa583c432fc54e6c3'} +2024-10-30 06:50:54,260 - lightrag - INFO - get_edge:query: + MATCH (start:`CHRISTMAS`)-[r]->(end:`FRENCH PLUMS`) + RETURN properties(r) as edge_properties + LIMIT 1 + :result:{'keywords': '"seasonal offerings, festive foods"', 'weight': 6.0, 'description': '"French Plums are included in the festive offerings, creating a rich holiday atmosphere."', 'source_id': 'chunk-99b0ec7f7e006561352b5d65e849611d'} +2024-10-30 06:50:54,358 - lightrag - INFO - get_edge:query: + MATCH (start:`CHRISTMAS`)-[r]->(end:`FIGS`) + RETURN properties(r) as edge_properties + LIMIT 1 + :result:{'keywords': '"seasonal offerings, festive foods"', 'weight': 6.0, 'description': '"Figs are highlighted among the festive foods offered during Christmas, enhancing markets."', 'source_id': 'chunk-99b0ec7f7e006561352b5d65e849611d'} +2024-10-30 06:50:54,453 - lightrag - INFO - get_edge:query: + MATCH (start:`BOB CRATCHIT`)-[r]->(end:`SCROOGE`) + RETURN properties(r) as edge_properties + LIMIT 1 + :result:{'keywords': '"charity, employer-employee relationship""employer-employee dynamics, family values""employer-employee relationship, contrasting values""employment, generosity""employment, power dynamic""employment, social reflection""family dynamics, acknowledgment""generosity, relationship change""generosity, transformation""gratitude, redemption"', 'weight': 69.0, 'description': '"Bob Cratchit discusses Scrooge during Christmas, highlighting the tension between duty towards family and feelings about his employer.""Bob Cratchit tries to maintain a positive atmosphere during the Christmas feast despite the negative association with Scrooge.""Bob praises Scrooge as \'The Founder of the Feast\', showing appreciation despite Scrooge’s previous miserliness.""Scrooge decides to send a turkey to Bob Cratchit, indicating a newfound kindness towards him and his family.""Scrooge is Bob Cratchit\'s employer, and he reflects on the challenges Bob faces regarding family and food on Christmas Day.".""Scrooge is the employer of Bob Cratchit, demonstrating a power dynamic characterized by Scrooge\'s harsh treatment and Bob\'s subservient role.""Scrooge reprimands Bob for arriving late, but ultimately decides to raise his salary, signaling a significant change in their employer-employee relationship.""Scrooge expresses a form of goodwill towards Bob Cratchit by sending a prize turkey, indicating a shift in their relationship.""Scrooge is Bob Cratchit\'s employer, representing a stark divide between their characters, with Scrooge\'s miserly nature contrasting with Bob\'s kindness.""Scrooge\'s transformation leads him to raise Bob\'s salary and assist his struggling family, showing an improvement in their employer-employee relationship."', 'source_id': 'chunk-90b95db5c53e4364a6bee36b7aa4d70fchunk-b0f459f5af1c3a5e0b92cbe4ee48b77bchunk-d9aac3484185ac66045df92214d245d5chunk-19d72c57ae3408758b18d2568e86dc6bchunk-503f0bfa5453467c7c61d160a3540ecachunk-94bea83e7153fc2064aa382b494936a1'} +2024-10-30 06:50:54,549 - lightrag - INFO - get_edge:query: + MATCH (start:`BRIDGE`)-[r]->(end:`SCROOGE`) + RETURN properties(r) as edge_properties + LIMIT 1 + :result:{'keywords': '"memory, landmark"', 'weight': 14.0, 'description': '"The bridge serves as a significant landmark in Scrooge\'s past, reminding him of his childhood and former happiness."', 'source_id': 'chunk-bb21d58d36c6306fd8810ddd51c4a971'} +2024-10-30 06:50:54,658 - lightrag - INFO - get_edge:query: + MATCH (start:`SCROOGE`)-[r]->(end:`THE BEAUTIFUL YOUNG GIRL`) + RETURN properties(r) as edge_properties + LIMIT 1 + :result:{'keywords': '"nostalgia, lost love"', 'weight': 16.0, 'description': '"Scrooge reflects on his past relationship with the young girl, which holds significance in understanding his character\'s regrets."', 'source_id': 'chunk-54bdd22db1f84a965b5f4c06c9216d8d'} +2024-10-30 06:50:54,756 - lightrag - INFO - get_edge:query: + MATCH (start:`MRS. CRATCHIT`)-[r]->(end:`TINY TIM`) + RETURN properties(r) as edge_properties + LIMIT 1 + :result:{'keywords': '"maternal love, support"', 'weight': 9.0, 'description': '"Mrs. Cratchit shows concern for Tiny Tim\'s health and well-being, reflecting her role as a nurturing mother."', 'source_id': 'chunk-1d4b58de5429cd1261370c231c8673e8'} +2024-10-30 06:50:54,854 - lightrag - INFO - get_edge:query: + MATCH (start:`MARTHA`)-[r]->(end:`TINY TIM`) + RETURN properties(r) as edge_properties + LIMIT 1 + :result:{'keywords': '"family ties, support"', 'weight': 5.0, 'description': '"Martha\'s presence and conversation at the gathering impacts Tiny Tim\'s experience and highlights family connections during Christmas."', 'source_id': 'chunk-19d72c57ae3408758b18d2568e86dc6b'} +2024-10-30 06:50:54,949 - lightrag - INFO - get_edge:query: + MATCH (start:`BOB CRATCHIT`)-[r]->(end:`MRS. CRATCHIT`) + RETURN properties(r) as edge_properties + LIMIT 1 + :result:{'keywords': '"family unity, celebration""partnership, family bond""partnership, family unity""partnership, resilience"', 'weight': 32.0, 'description': '"Bob Cratchit and Mrs. Cratchit work together to provide for their family, showcasing partnership and resilience.""Bob and Mrs. Cratchit represent a family working together to create a festive and warm environment despite their limited means.""Mrs. Cratchit supports Bob Cratchit in his parenting efforts and encourages the family’s unity during challenging times.""Mrs. Cratchit supports Bob in caring for their family and exhibits her love for him and their children."', 'source_id': 'chunk-9e3921da66da5d761ab73cd849af6c43chunk-b0f459f5af1c3a5e0b92cbe4ee48b77bchunk-1d4b58de5429cd1261370c231c8673e8'} +2024-10-30 06:50:55,048 - lightrag - INFO - get_edge:query: + MATCH (start:`SCROOGE`)-[r]->(end:`THE BLANKETS`) + RETURN properties(r) as edge_properties + LIMIT 1 + :result:{'keywords': '"neglect, reflection"', 'weight': 8.0, 'description': '"Scrooge contemplates the significance of The Blankets, linking them to the neglected state of The Deceased in death."', 'source_id': 'chunk-e1f29eeadc1d8ab46dc8a0bbd3c56b64'} +2024-10-30 06:50:55,139 - lightrag - INFO - get_edge:query: + MATCH (start:`SCROOGE`)-[r]->(end:`TIM`) + RETURN properties(r) as edge_properties + LIMIT 1 + :result:{'keywords': '"familial connection, emotional depth"', 'weight': 16.0, 'description': '"Scrooge\'s connection to Tim emphasizes emotional depth, reflecting on family and lost connections as part of his character development."', 'source_id': 'chunk-89777b838d5447c7bd1ec11282c4ee89'} +2024-10-30 06:50:55,234 - lightrag - INFO - get_edge:query: + MATCH (start:`MARLEY`)-[r]->(end:`THE HEAVY CHAIN`) + RETURN properties(r) as edge_properties + LIMIT 1 + :result:{'keywords': '"burden, consequence"', 'weight': 18.0, 'description': '"The Heavy Chain is linked to Marley as it suggests the burdens he carries from his earthly life, which he now haunts Scrooge with."', 'source_id': 'chunk-9c43dac2fcd5b578242d907ea6f8fc7b'} +2024-10-30 06:50:55,332 - lightrag - INFO - get_edge:query: + MATCH (start:`MARLEY'S GHOST`)-[r]->(end:`SCROOGE`) + RETURN properties(r) as edge_properties + LIMIT 1 + :result:{'keywords': '"confrontation, supernatural experience""reflection, consequence""supernatural confrontation, regret""supernatural encounter, existential crisis""warning, fate"', 'weight': 43.0, 'description': '"Marley\'s Ghost warns Scrooge about the consequences of his actions and the visits of the three spirits, setting the stage for his transformation.""Scrooge is haunted by Marley\'s Ghost, which confronts him as a part of a supernatural occurrence meant to incite fear and reflection on his life choices.""Scrooge is confronted by Marley\'s Ghost, representing the struggle between his disbelief and the ghost\'s insistence on showing the consequences of Scrooge\'s life choices.""Scrooge is directly confronted by Marley\'s Ghost, leading to confusion and existential questioning on his part.""Scrooge reacts to Marley\'s Ghost, reflecting on his past as he is warned about the consequences of his actions."', 'source_id': 'chunk-c7b10789a9cb0af6c553730b29bd9034chunk-9c43dac2fcd5b578242d907ea6f8fc7bchunk-cb661c37436355ccec2769b1d0350c5fchunk-1aa50206d02ed89418f65f97c6441d1c'} +2024-10-30 06:50:55,428 - lightrag - INFO - get_edge:query: + MATCH (start:`BAD REPUTE`)-[r]->(end:`SCROOGE`) + RETURN properties(r) as edge_properties + LIMIT 1 + :result:{'keywords': '"self-reflection, moral awakening"', 'weight': 9.0, 'description': '"Scrooge\'s experience in areas of Bad Repute forces him to confront the realities of society and his own role within it."', 'source_id': 'chunk-f1a4fbcf1ed86864b9bfd5e8dba4c683'} +2024-10-30 06:50:55,520 - lightrag - INFO - get_edge:query: + MATCH (start:`SCROOGE`)-[r]->(end:`THE OFFICE`) + RETURN properties(r) as edge_properties + LIMIT 1 + :result:{'keywords': '"isolation, work ethic"', 'weight': 12.0, 'description': '"Scrooge\'s office reflects his solitary and business-driven life, showcasing his disconnection from familial and social ties."', 'source_id': 'chunk-da2472b4ef2a535b62908f14d0fb0ca9'} +2024-10-30 06:50:55,616 - lightrag - INFO - get_edge:query: + MATCH (start:`FAN`)-[r]->(end:`SCROOGE`) + RETURN properties(r) as edge_properties + LIMIT 1 + :result:{'keywords': '"family, joy lost""sibling bond, nostalgia"', 'weight': 28.0, 'description': '"Fan\'s loving relationship with her brother Scrooge reflects the lost potential for joy in his life due to his choices.""Fan\'s loving relationship with her brother Scrooge reflects the lost potential for joy in his life due to his choices.""Scrooge and Fan share a sibling bond, with Fan representing innocence and happiness from their childhood, which evokes fond memories for Scrooge.""Scrooge and Fan share a sibling bond, with Fan representing innocence and happiness from their childhood, which evokes fond memories for Scrooge."', 'source_id': 'chunk-c6c248858d1b13ab7ee9ca13c1aeed6bchunk-9e3921da66da5d761ab73cd849af6c43'} +2024-10-30 06:50:55,725 - lightrag - INFO - get_edge:query: + MATCH (start:`CAROLINE`)-[r]->(end:`HOPE`) + RETURN properties(r) as edge_properties + LIMIT 1 + :result:{'keywords': '"emotional resilience, motivation"', 'weight': 16.0, 'description': '"Hope influences Caroline\'s reactions and actions throughout the story, serving as both a motivator and a source of inner conflict."', 'source_id': 'chunk-83ac129dc9b56f84c46760d153d68e93'} +2024-10-30 06:50:55,818 - lightrag - INFO - get_edge:query: + MATCH (start:`MARTHA`)-[r]->(end:`THE COUNTESS`) + RETURN properties(r) as edge_properties + LIMIT 1 + :result:{'keywords': '"social contrast, aspirations"', 'weight': 4.0, 'description': '"Martha\'s encounter with The Countess reflects her aspirations and experiences outside her lower socio-economic status."', 'source_id': 'chunk-19d72c57ae3408758b18d2568e86dc6b'} +2024-10-30 06:50:55,912 - lightrag - INFO - get_edge:query: + MATCH (start:`THE CHILDREN`)-[r]->(end:`THE HOUSE`) + RETURN properties(r) as edge_properties + LIMIT 1 + :result:{'keywords': '"setting, celebration"', 'weight': 7.0, 'description': '"The House serves as the setting for the children\'s joyous activities and emotional expressions during the Christmas event."', 'source_id': 'chunk-da2472b4ef2a535b62908f14d0fb0ca9'} +2024-10-30 06:50:56,009 - lightrag - INFO - get_edge:query: + MATCH (start:`SCROOGE`)-[r]->(end:`THE COLD`) + RETURN properties(r) as edge_properties + LIMIT 1 + :result:{'keywords': '"metaphor, emotional state"', 'weight': 8.0, 'description': '"The Cold serves as a metaphor for Scrooge\'s emotional state, indicating his lack of warmth and compassion."', 'source_id': 'chunk-74e2466de2f67fd710ef2f20c0a8d9e0'} +2024-10-30 06:50:56,104 - lightrag - INFO - get_edge:query: + MATCH (start:`BOB CRATCHIT`)-[r]->(end:`THE CHRISTMAS DINNER`) + RETURN properties(r) as edge_properties + LIMIT 1 + :result:{'keywords': '"family, celebration"', 'weight': 16.0, 'description': '"The Christmas Dinner represents the Cratchit family\'s celebration, with Bob Cratchit at the center of this warm gathering."', 'source_id': 'chunk-90b95db5c53e4364a6bee36b7aa4d70f'} +2024-10-30 06:50:56,198 - lightrag - INFO - get_edge:query: + MATCH (start:`THE YOUNG CRATCHITS`)-[r]->(end:`TINY TIM`) + RETURN properties(r) as edge_properties + LIMIT 1 + :result:{'keywords': '"sibling bond, family dynamics"', 'weight': 16.0, 'description': '"The Young Cratchits enthusiastically engage with Tiny Tim during the celebrations, highlighting the loving dynamics of the Cratchit family."', 'source_id': 'chunk-7e2e7ebcc19a53b399dc03aded4743e7'} +2024-10-30 06:50:56,293 - lightrag - INFO - get_edge:query: + MATCH (start:`PORTLY GENTLEMEN`)-[r]->(end:`SCROOGE`) + RETURN properties(r) as edge_properties + LIMIT 1 + :result:{'keywords': '"charity rejection, conflict"', 'weight': 8.0, 'description': '"Scrooge dismisses the Portly Gentlemen\'s request for donations, rejecting their appeal for charity."', 'source_id': 'chunk-5dac41b3f9eeaf794f0147400b1718cd'} +2024-10-30 06:50:56,390 - lightrag - INFO - get_edge:query: + MATCH (start:`SCROOGE`)-[r]->(end:`THE SPIRIT`) + RETURN properties(r) as edge_properties + LIMIT 1 + :result:{'keywords': '"guidance, self-reflection""guidance, transformation""introspection, guidance""moral guidance, change""moral guidance, transformation""self-reflection, transformation""supernatural guidance, self-reflection""supernatural intervention, guidance"', 'weight': 93.0, 'description': '"Scrooge engages with the Spirit as it reveals memories that prompt significant self-reflection and consideration of change.""Scrooge is guided by the Spirit, who shows him different scenes related to the joy and struggles of Christmas, aiming to change his heart.""The Spirit challenges Scrooge\'s perspective on life, urging him to consider the implications of his actions in light of death.""The Spirit represents an upcoming change in Scrooge\'s life, aiming to guide him towards redemption.""The Spirit represents moral lessons and urges Scrooge to change his ways for a better future.""Scrooge\'s interaction with The Spirit serves as a pivotal moment for him to reflect on his past decisions and seek wisdom.""The Spirit guides Scrooge through his memories, facilitating his emotional journey and transformation.""The Spirit interacts with Scrooge, guiding him to confront his past and future, emphasizing change and moral growth.""The Spirit is guiding Scrooge through different scenes, aiming to transform his character and perspective on life.""The Spirit serves as the medium for Scrooge\'s journey of self-discovery and accountability."', 'source_id': 'chunk-da2472b4ef2a535b62908f14d0fb0ca9chunk-e1f29eeadc1d8ab46dc8a0bbd3c56b64chunk-91614df5cb74cbe5e109a338a82041e9chunk-91572b3cd42786ba4cb2f180ca25cbf4chunk-f1a4fbcf1ed86864b9bfd5e8dba4c683chunk-8590d9263cd2cd4fa583c432fc54e6c3chunk-b2f98bc7abb0c67d4c86055c7fd72218'} +2024-10-30 06:50:56,484 - lightrag - INFO - get_edge:query: + MATCH (start:`MARKET-TOWN`)-[r]->(end:`SCROOGE`) + RETURN properties(r) as edge_properties + LIMIT 1 + :result:{'keywords': '"memory, childhood""nostalgia, memory"', 'weight': 15.0, 'description': '"Scrooge encounters the market-town in his memories, triggering feelings of recognition and emotional reflection.""Scrooge recognizes the Market-Town, eliciting fond memories from his childhood and emphasizing his emotional response to the past."', 'source_id': 'chunk-bb21d58d36c6306fd8810ddd51c4a971'} +2024-10-30 06:50:56,576 - lightrag - INFO - get_edge:query: + MATCH (start:`BOB CRATCHIT`)-[r]->(end:`EBENEZER SCROOGE`) + RETURN properties(r) as edge_properties + LIMIT 1 + :result:{'keywords': '"employment, power dynamics""workplace dynamics, social contrast"', 'weight': 13.0, 'description': '"Bob Cratchit works for Ebenezer Scrooge, embodying the struggles of the working class in contrast to Scrooge\'s miserliness.""Ebenezer Scrooge is Bob Cratchit\'s employer, representing a dynamic of power and struggle in their relationship."', 'source_id': 'chunk-9e3921da66da5d761ab73cd849af6c43'} +2024-10-30 06:50:56,671 - lightrag - INFO - get_edge:query: + MATCH (start:`CAMDEN TOWN`)-[r]->(end:`SCROOGE`) + RETURN properties(r) as edge_properties + LIMIT 1 + :result:{'keywords': '"logistics, festive preparation"', 'weight': 5.0, 'description': '"Scrooge mentions Camden Town in relation to the impracticality of delivering a large turkey there."', 'source_id': 'chunk-8f738cb25d60a7dab782162d9d0a25ed'} +2024-10-30 06:50:56,763 - lightrag - INFO - get_edge:query: + MATCH (start:`CHILD`)-[r]->(end:`SCROOGE`) + RETURN properties(r) as edge_properties + LIMIT 1 + :result:{'keywords': '"self-reflection, past connection"', 'weight': 16.0, 'description': '"Scrooge sees his younger self in the solitary child, sparking deep emotional reflections about his past and choices."', 'source_id': 'chunk-8590d9263cd2cd4fa583c432fc54e6c3'} +2024-10-30 06:50:56,863 - lightrag - INFO - get_edge:query: + MATCH (start:`BOB CRATCHIT`)-[r]->(end:`MARTHA`) + RETURN properties(r) as edge_properties + LIMIT 1 + :result:{'keywords': '"family reunion, surprise"', 'weight': 16.0, 'description': '"Martha surprises Bob Cratchit by coming home late for Christmas dinner, showing the family\'s love and warmth in reunions."', 'source_id': 'chunk-7e2e7ebcc19a53b399dc03aded4743e7'} +2024-10-30 06:50:56,957 - lightrag - INFO - get_edge:query: + MATCH (start:`SCROOGE`)-[r]->(end:`THE GHOST OF CHRISTMAS YET TO COME`) + RETURN properties(r) as edge_properties + LIMIT 1 + :result:{'keywords': '"consequence, introspection""consequences, change""consequences, fear""guidance, self-confrontation"', 'weight': 39.0, 'description': '"The Ghost guides Scrooge to confront his potential future that threatens his existence.""The Ghost is critical in revealing the consequences of Scrooge\'s life choices, pushing for change.""The Ghost of Christmas Yet to Come presents Scrooge with a vision of his possible future, instilling fear and prompting change.""The Ghost of Christmas Yet to Come shows Scrooge the consequences of his life choices, prompting introspection and desire for change."', 'source_id': 'chunk-91572b3cd42786ba4cb2f180ca25cbf4chunk-90b95db5c53e4364a6bee36b7aa4d70f'} +2024-10-30 06:50:57,051 - lightrag - INFO - get_edge:query: + MATCH (start:`SCROOGE`)-[r]->(end:`THE PHANTOM`) + RETURN properties(r) as edge_properties + LIMIT 1 + :result:{'keywords': '"guidance, reflection""guidance, self-reflection"', 'weight': 17.0, 'description': '"Scrooge interacts with the Phantom, which guides him through reflections on his life and future, emphasizing his journey of change.""The Phantom interacts with Scrooge, pointing him towards the importance of reflections on mortality and social connections."', 'source_id': 'chunk-f1a4fbcf1ed86864b9bfd5e8dba4c683'} +2024-10-30 06:50:57,144 - lightrag - INFO - get_edge:query: + MATCH (start:`SPIRIT`)-[r]->(end:`WANT`) + RETURN properties(r) as edge_properties + LIMIT 1 + :result:{'keywords': '"social issues, need for compassion""social warning, deprivation"', 'weight': 30.0, 'description': '"The Spirit points out Want, symbolizing the dire consequences of neglecting societal needs.""The Spirit points out Want, symbolizing the dire consequences of neglecting societal needs.""The Spirit presents Want along with Ignorance, symbolizing the plight of the less fortunate and appealing for compassion.""The Spirit presents Want along with Ignorance, symbolizing the plight of the less fortunate and appealing for compassion."', 'source_id': 'chunk-02baee20cc9463dbe08170a8e1043e32chunk-e7637ff18c5ded77a68cce0a87883fad'} +2024-10-30 06:50:57,236 - lightrag - INFO - get_edge:query: + MATCH (start:`CHRISTMAS`)-[r]->(end:`PEOPLE`) + RETURN properties(r) as edge_properties + LIMIT 1 + :result:{'keywords': '"community celebration, joy"', 'weight': 18.0, 'description': '"The People are actively engaged in the celebration of Christmas, demonstrating joy and festivity despite the harsh weather conditions."', 'source_id': 'chunk-99b0ec7f7e006561352b5d65e849611d'} +2024-10-30 06:50:57,330 - lightrag - INFO - get_edge:query: + MATCH (start:`FRIDAY`)-[r]->(end:`SCROOGE`) + RETURN properties(r) as edge_properties + LIMIT 1 + :result:{'keywords': '"storytelling, childhood memories"', 'weight': 5.0, 'description': '"Scrooge\'s mention of Friday signifies his recollection of childhood stories and influences during Christmas time."', 'source_id': 'chunk-8590d9263cd2cd4fa583c432fc54e6c3'} +2024-10-30 06:50:57,424 - lightrag - INFO - get_edge:query: + MATCH (start:`MARLEY`)-[r]->(end:`THE GHOST`) + RETURN properties(r) as edge_properties + LIMIT 1 + :result:{'keywords': '"haunting, past choices"', 'weight': 18.0, 'description': '"Marley is the embodiment of The Ghost that appears to Scrooge, representing past choices and the consequences of his actions."', 'source_id': 'chunk-9c43dac2fcd5b578242d907ea6f8fc7b'} +2024-10-30 06:50:57,518 - lightrag - INFO - get_edge:query: + MATCH (start:`BOB CRATCHIT`)-[r]->(end:`THE COUNTING-HOUSE CLERK`) + RETURN properties(r) as edge_properties + LIMIT 1 + :result:{'keywords': '"workforce dynamics, character contrast"', 'weight': 12.0, 'description': '"Bob Cratchit and The Counting-House Clerk represent the working class under Scrooge\'s employment, showcasing different character traits in the context of their work."', 'source_id': 'chunk-d9aac3484185ac66045df92214d245d5'} +2024-10-30 06:50:57,611 - lightrag - INFO - get_edge:query: + MATCH (start:`FROST`)-[r]->(end:`SCROOGE`) + RETURN properties(r) as edge_properties + LIMIT 1 + :result:{'keywords': '"atmospheric condition, characterization"', 'weight': 8.0, 'description': '"Frost enhances the chilling atmosphere around Scrooge\'s life and mindset, reflecting his cold character."', 'source_id': 'chunk-d9aac3484185ac66045df92214d245d5'} +2024-10-30 06:50:57,704 - lightrag - INFO - get_edge:query: + MATCH (start:`SCROOGE`)-[r]->(end:`THE FOUNDER OF THE FEAST`) + RETURN properties(r) as edge_properties + LIMIT 1 + :result:{'keywords': '"gratitude, recognition"', 'weight': 16.0, 'description': '"Scrooge\'s contribution as The Founder of the Feast is acknowledged by Bob, highlighting the connection between Scrooge and the Cratchit family\'s Christmas dinner."', 'source_id': 'chunk-503f0bfa5453467c7c61d160a3540eca'} +2024-10-30 06:50:57,797 - lightrag - INFO - get_edge:query: + MATCH (start:`SCROOGE`)-[r]->(end:`THE MEMORY`) + RETURN properties(r) as edge_properties + LIMIT 1 + :result:{'keywords': '"reflection, impact of past"', 'weight': 16.0, 'description': '"Scrooge\'s memories play a crucial role in shaping his perspective on love and happiness as he confronts his past."', 'source_id': 'chunk-54bdd22db1f84a965b5f4c06c9216d8d'} +2024-10-30 06:50:57,891 - lightrag - INFO - get_edge:query: + MATCH (start:`CHRISTMAS`)-[r]->(end:`TURKEYS`) + RETURN properties(r) as edge_properties + LIMIT 1 + :result:{'keywords': '"culinary tradition, celebration"', 'weight': 9.0, 'description': '"Turkeys are a traditional dish served during Christmas, contributing to the celebratory meal."', 'source_id': 'chunk-99b0ec7f7e006561352b5d65e849611d'} +2024-10-30 06:50:57,985 - lightrag - INFO - get_edge:query: + MATCH (start:`SCROOGE`)-[r]->(end:`THE MOURNING DRESS`) + RETURN properties(r) as edge_properties + LIMIT 1 + :result:{'keywords': '"loss, emotional distance"', 'weight': 16.0, 'description': '"The Mourning Dress symbolizes Scrooge\'s unfulfilled relationships and the emotional consequences of his choices."', 'source_id': 'chunk-b2f98bc7abb0c67d4c86055c7fd72218'} +2024-10-30 06:50:58,081 - lightrag - INFO - get_edge:query: + MATCH (start:`BOB CRATCHIT`)-[r]->(end:`MR. SCROOGE'S NEPHEW`) + RETURN properties(r) as edge_properties + LIMIT 1 + :result:{'keywords': '"kindness, community support""kindness, support"', 'weight': 14.0, 'description': '"Bob Cratchit shares a positive interaction with Mr. Scrooge\'s Nephew, who expresses kindness and concern for his family.""Mr. Scrooge\'s Nephew expresses sympathy and kindness towards Bob, reinforcing community and support."', 'source_id': 'chunk-1d4b58de5429cd1261370c231c8673e8'} +2024-10-30 06:50:58,173 - lightrag - INFO - get_edge:query: + MATCH (start:`MR. FEZZIWIG`)-[r]->(end:`SCROOGE`) + RETURN properties(r) as edge_properties + LIMIT 1 + :result:{'keywords': '"kindness, influence"', 'weight': 16.0, 'description': '"Mr. Fezziwig\'s kindness towards employees influences Scrooge\'s eventual change in attitude toward generosity and business."', 'source_id': 'chunk-9e3921da66da5d761ab73cd849af6c43'} +2024-10-30 06:50:58,270 - lightrag - INFO - get_edge:query: + MATCH (start:`SCROOGE`)-[r]->(end:`SMOKING BISHOP`) + RETURN properties(r) as edge_properties + LIMIT 1 + :result:{'keywords': '"celebration, warmth"', 'weight': 18.0, 'description': '"Scrooge and Bob\'s plans to enjoy Smoking Bishop together symbolize the welcoming of joy and warmth during the Christmas season."', 'source_id': 'chunk-94bea83e7153fc2064aa382b494936a1'} +2024-10-30 06:50:58,361 - lightrag - INFO - get_edge:query: + MATCH (start:`HOSPITAL`)-[r]->(end:`SPIRIT`) + RETURN properties(r) as edge_properties + LIMIT 1 + :result:{'keywords': '"care, compassion"', 'weight': 8.0, 'description': '"The Spirit uses the Hospital to demonstrate humanity\'s capacity for care and its responsibility towards the sick and needy."', 'source_id': 'chunk-e7637ff18c5ded77a68cce0a87883fad'} +2024-10-30 06:50:58,453 - lightrag - INFO - get_edge:query: + MATCH (start:`THE GHOST`)-[r]->(end:`THE SPIRIT`) + RETURN properties(r) as edge_properties + LIMIT 1 + :result:{'keywords': '"supernatural influence, guidance"', 'weight': 8.0, 'description': '"The Ghost acts as a precursor to The Spirit, both influencing Scrooge\'s journey of enlightenment and redemption."', 'source_id': 'chunk-da2472b4ef2a535b62908f14d0fb0ca9'} +2024-10-30 06:50:58,548 - lightrag - INFO - get_edge:query: + MATCH (start:`SCROOGE`)-[r]->(end:`THE COUNTING-HOUSE`) + RETURN properties(r) as edge_properties + LIMIT 1 + :result:{'keywords': '"work environment, character development""work environment, emotional landscape""work environment, personality reflection"', 'weight': 20.0, 'description': '"Scrooge\'s work environment reflects his personality, being cold and uninviting, mirroring his discontent with life.""The Counting-House is where Scrooge works, illustrating the environment that shapes his bleak personality.""The Counting-House represents Scrooge\'s work environment, which is devoid of warmth, paralleling Scrooge\'s cold demeanor."', 'source_id': 'chunk-d9aac3484185ac66045df92214d245d5chunk-74e2466de2f67fd710ef2f20c0a8d9e0'} +2024-10-30 06:50:58,640 - lightrag - INFO - get_edge:query: + MATCH (start:`DARKNESS`)-[r]->(end:`SCROOGE`) + RETURN properties(r) as edge_properties + LIMIT 1 + :result:{'keywords': '"themes, isolation"', 'weight': 9.0, 'description': '"Darkness symbolizes Scrooge\'s internal feelings of isolation and regret, presenting the overall mood of his journey towards potential redemption."', 'source_id': 'chunk-9c43dac2fcd5b578242d907ea6f8fc7b'} +2024-10-30 06:50:58,736 - lightrag - INFO - get_edge:query: + MATCH (start:`CHRISTMAS`)-[r]->(end:`SCROOGE`) + RETURN properties(r) as edge_properties + LIMIT 1 + :result:{'keywords': '"character development, festive spirit""conflict, holiday spirit""contrast, seasonal significance""disconnection, festive spirit""holiday significance, reflection""holiday significance, transformation""holiday spirit, social critique""nostalgia, reflection""reflection, redemption""rejection, festive spirit""renewal, change""seasonal significance, emotional reflection""transformation, disdain""transformation, festive spirit""transformation, holiday significance""transformation, holiday spirit"', 'weight': 169.0, 'description': '"Christmas becomes a focal point for Scrooge\'s promise to change and embrace life, symbolizing hope and renewal.""Christmas is a central theme that invokes Scrooge\'s memories of his past, his feelings of loneliness, and his desire to connect.""Christmas serves as a focal point for Scrooge\'s emotional reflections on joy and his disconnect from societal celebrations.""Christmas serves as the catalyst for Scrooge\'s transformation, highlighting themes of giving and compassion.""Scrooge expresses disdain for Christmas, viewing it as a burden rather than a celebration.""Scrooge\'s attitude towards Christmas highlights his disconnection from the festive spirit and charity associated with the holiday.""Scrooge\'s character contrasts sharply with the joy of Christmas, highlighting his disdain for the festive season.""Scrooge\'s experience during the Christmas event highlights the transformation of his character and the spirit of the holiday.""Scrooge\'s journey with the Spirit ultimately leads him to reflect on the meaning of Christmas and its impact on human connections.""Scrooge\'s transformation and newfound joy are directly linked to the spirit of Christmas.""Scrooge\'s transformation is centered around the spirit of Christmas, which he learns to embrace and celebrate.""Scrooge\'s views on Christmas evolve as he witnesses the joy and familial love associated with the holiday, marking a shift in his character.""Scrooge reflects on Christmas with a mix of emotions, highlighting its importance in his life and character arc.""Scrooge\'s attitude towards Christmas is one of disdain, setting the stage for his eventual transformation as he confronts the meaning of the holiday.""Scrooge\'s involvement in the Christmas activities represents a significant moment of change in his character, as he becomes more engaged and merry.""Scrooge\'s refusal to celebrate Christmas reflects his overall attitude towards generosity and societal obligations during this festive time.""Scrooge\'s rejection of Christmas embodies his overall discord with the spirit of the holiday, viewing it as a time of financial burden instead of joy.""Scrooge\'s transformation is closely linked to the celebration of Christmas, highlighting themes of giving and joy.""Scrooge\'s transformation is closely tied to the spirit of Christmas, marking a significant personal change during this event."', 'source_id': 'chunk-43c9bee23adfa77aa9dedd22401bba7dchunk-74e2466de2f67fd710ef2f20c0a8d9e0chunk-89777b838d5447c7bd1ec11282c4ee89chunk-e7637ff18c5ded77a68cce0a87883fadchunk-da2472b4ef2a535b62908f14d0fb0ca9chunk-90d5764e301321c087f5a8f78b73a145chunk-91614df5cb74cbe5e109a338a82041e9chunk-91572b3cd42786ba4cb2f180ca25cbf4chunk-8f738cb25d60a7dab782162d9d0a25edchunk-94bea83e7153fc2064aa382b494936a1chunk-54bdd22db1f84a965b5f4c06c9216d8dchunk-8590d9263cd2cd4fa583c432fc54e6c3chunk-99b0ec7f7e006561352b5d65e849611d'} +2024-10-30 06:50:58,832 - lightrag - INFO - get_edge:query: + MATCH (start:`DEATH`)-[r]->(end:`THE FUTURE`) + RETURN properties(r) as edge_properties + LIMIT 1 + :result:{'keywords': '"consequences of choices, reflection"', 'weight': 7.0, 'description': '"The concept of The Future is intricately linked to discussions about Death, pondering the consequences of life\'s choices."', 'source_id': 'chunk-02baee20cc9463dbe08170a8e1043e32'} +2024-10-30 06:50:58,927 - lightrag - INFO - get_edge:query: + MATCH (start:`SCROOGE`)-[r]->(end:`THE FOG AND FROST`) + RETURN properties(r) as edge_properties + LIMIT 1 + :result:{'keywords': '"atmosphere, emotional coldness"', 'weight': 14.0, 'description': '"The Fog and Frost enveloping Scrooge\'s home reflect the chilling atmosphere of his life and his emotional coldness."', 'source_id': 'chunk-d9aac3484185ac66045df92214d245d5'} +2024-10-30 06:50:59,022 - lightrag - INFO - get_edge:query: + MATCH (start:`SCROOGE`)-[r]->(end:`THE WINE-MERCHANT'S CELLAR`) + RETURN properties(r) as edge_properties + LIMIT 1 + :result:{'keywords': '"atmosphere, haunting"', 'weight': 16.0, 'description': '"Scrooge hears the dragging chains from The Wine-Merchant\'s Cellar, indicating that the haunting presence is felt throughout The House."', 'source_id': 'chunk-9c43dac2fcd5b578242d907ea6f8fc7b'} +2024-10-30 06:50:59,114 - lightrag - INFO - get_edge:query: + MATCH (start:`SCROOGE`)-[r]->(end:`THE CITY`) + RETURN properties(r) as edge_properties + LIMIT 1 + :result:{'keywords': '"disconnection, personal evolution""reflection, urban life""transformation, community""urban setting, contrast"', 'weight': 26.0, 'description': '"Scrooge\'s reflections in the City highlight his relationship with his past and the contrast of his current life.""Scrooge\'s relationship with The City is marked by detachment, representing his lost connection to his past self and experiences.""Scrooge\'s transformation impacts The City as he learns to embrace Christmas spirit and generosity within his community.""The City serves as a backdrop for Scrooge\'s memories, contrasting the vibrant life he once had with his current isolation."', 'source_id': 'chunk-c6c248858d1b13ab7ee9ca13c1aeed6bchunk-94bea83e7153fc2064aa382b494936a1chunk-bb21d58d36c6306fd8810ddd51c4a971'} +2024-10-30 06:50:59,208 - lightrag - INFO - get_edge:query: + MATCH (start:`SCROOGE`)-[r]->(end:`THE PRIME OF LIFE`) + RETURN properties(r) as edge_properties + LIMIT 1 + :result:{'keywords': '"reflection, life choices"', 'weight': 18.0, 'description': '"Scrooge reflects on his Prime of Life, contrasting it with his current state and the sacrifices he has made for wealth."', 'source_id': 'chunk-b2f98bc7abb0c67d4c86055c7fd72218'} +2024-10-30 06:50:59,299 - lightrag - INFO - get_edge:query: + MATCH (start:`SCROOGE`)-[r]->(end:`THE PAST`) + RETURN properties(r) as edge_properties + LIMIT 1 + :result:{'keywords': '"self-reflection, choices"', 'weight': 9.0, 'description': '"Scrooge must acknowledge The Past to understand his current situation and guide his choices for the future."', 'source_id': 'chunk-91572b3cd42786ba4cb2f180ca25cbf4'} +2024-10-30 06:50:59,393 - lightrag - INFO - get_edge:query: + MATCH (start:`SCROOGE`)-[r]->(end:`THE REGISTER`) + RETURN properties(r) as edge_properties + LIMIT 1 + :result:{'keywords': '"responsibility, mourning"', 'weight': 8.0, 'description': '"Scrooge\'s connection to The Register reinforces his involvement in Marley\'s death and the responsibilities that follow."', 'source_id': 'chunk-89777b838d5447c7bd1ec11282c4ee89'} +2024-10-30 06:50:59,488 - lightrag - INFO - get_edge:query: + MATCH (start:`BOB CRATCHIT`)-[r]->(end:`MARTHA CRATCHIT`) + RETURN properties(r) as edge_properties + LIMIT 1 + :result:{'keywords': '"family bond, affection""family, love"', 'weight': 14.0, 'description': '"Bob shows pride and love for his daughter Martha, highlighting the close ties within the Cratchit family.""Martha shows affection for Bob Cratchit upon her arrival, indicating a warm father-daughter relationship within the family."', 'source_id': 'chunk-7e2e7ebcc19a53b399dc03aded4743e7chunk-9e3921da66da5d761ab73cd849af6c43'} +2024-10-30 06:50:59,585 - lightrag - INFO - get_edge:query: + MATCH (start:`MARTHA`)-[r]->(end:`THE LORD`) + RETURN properties(r) as edge_properties + LIMIT 1 + :result:{'keywords': '"social status, contrast"', 'weight': 4.0, 'description': '"Martha\'s reference to The Lord indicates her exposure to higher social circles, which contrasts her family\'s financial struggles."', 'source_id': 'chunk-19d72c57ae3408758b18d2568e86dc6b'} +2024-10-30 06:50:59,679 - lightrag - INFO - get_edge:query: + MATCH (start:`SCROOGE`)-[r]->(end:`THE PARROT`) + RETURN properties(r) as edge_properties + LIMIT 1 + :result:{'keywords': '"nostalgia, whimsy"', 'weight': 12.0, 'description': '"Scrooge recalls the Parrot associated with his memories of Robin Crusoe, highlighting the whimsical and nostalgic aspects of his reflections."', 'source_id': 'chunk-8590d9263cd2cd4fa583c432fc54e6c3'} +2024-10-30 06:50:59,774 - lightrag - INFO - get_edge:query: + MATCH (start:`CRATCHIT FAMILY`)-[r]->(end:`TINY TIM`) + RETURN properties(r) as edge_properties + LIMIT 1 + :result:{'keywords': '"family bond, celebration""family ties, innocence""hope, joy"', 'weight': 25.0, 'description': '"Tiny Tim\'s presence in the Cratchit family adds to their joy and highlights the family\'s spirit of togetherness during Christmas.""Tiny Tim, as part of the Cratchit Family, represents the innocence and vulnerability of the family, affecting their dynamics during Christmas.""Tiny Tim, despite his condition, brings joy to the Cratchit Family and fosters a sense of hope and love during their Christmas celebration."', 'source_id': 'chunk-19d72c57ae3408758b18d2568e86dc6bchunk-7e2e7ebcc19a53b399dc03aded4743e7'} +2024-10-30 06:50:59,867 - lightrag - INFO - get_edge:query: + MATCH (start:`MANSION`)-[r]->(end:`THE GHOST`) + RETURN properties(r) as edge_properties + LIMIT 1 + :result:{'keywords': '"guidance, contrast"', 'weight': 18.0, 'description': '"The Ghost guides Scrooge through the Mansion, illustrating the contrast between past warmth and present decay."', 'source_id': 'chunk-8590d9263cd2cd4fa583c432fc54e6c3'} +2024-10-30 06:50:59,962 - lightrag - INFO - get_edge:query: + MATCH (start:`CHRISTMAS DAY`)-[r]->(end:`CRATCHIT FAMILY`) + RETURN properties(r) as edge_properties + LIMIT 1 + :result:{'keywords': '"celebration, tradition""celebration, unity""family gathering, holiday celebration"', 'weight': 29.0, 'description': '"The Cratchit Family comes together to celebrate Christmas Day, a crucial moment that reflects their unity and joy despite challenges.""The Cratchit Family gathers to celebrate Christmas Day, reflecting their togetherness and joy despite their hardships.""The Cratchit Family\'s celebration on Christmas Day emphasizes their unity and joy in sharing the holiday together."', 'source_id': 'chunk-19d72c57ae3408758b18d2568e86dc6bchunk-7e2e7ebcc19a53b399dc03aded4743e7'} +2024-10-30 06:51:00,057 - lightrag - INFO - get_edge:query: + MATCH (start:`SCROOGE`)-[r]->(end:`THE SCHOOLMASTER`) + RETURN properties(r) as edge_properties + LIMIT 1 + :result:{'keywords': '"authority, discipline"', 'weight': 6.0, 'description': '"The Schoolmaster represents authority and discipline in Scrooge\'s early life, influencing his development."', 'source_id': 'chunk-c6c248858d1b13ab7ee9ca13c1aeed6b'} +2024-10-30 06:51:00,151 - lightrag - INFO - get_edge:query: + MATCH (start:`THE HUSBAND`)-[r]->(end:`THE MOTHER`) + RETURN properties(r) as edge_properties + LIMIT 1 + :result:{'keywords': '"marital dynamics, emotional strain"', 'weight': 16.0, 'description': '"The Mother expresses anxiety and eagerness as she interacts with her husband, showcasing the emotional strain caused by uncertainty."', 'source_id': 'chunk-83ac129dc9b56f84c46760d153d68e93'} +2024-10-30 06:51:00,242 - lightrag - INFO - get_edge:query: + MATCH (start:`SCROOGE`)-[r]->(end:`WANT`) + RETURN properties(r) as edge_properties + LIMIT 1 + :result:{'keywords': '"social critique, consequences"', 'weight': 9.0, 'description': '"Scrooge is shown the consequences of Want, reflecting on the impacts of desire and neglect in society."', 'source_id': 'chunk-02baee20cc9463dbe08170a8e1043e32'} +2024-10-30 06:51:00,336 - lightrag - INFO - get_edge:query: + MATCH (start:`EBENEZER SCROOGE`)-[r]->(end:`THE CLOCK`) + RETURN properties(r) as edge_properties + LIMIT 1 + :result:{'keywords': '"temporal confusion, malfunction"', 'weight': 7.0, 'description': '"Scrooge\'s confusion about time is exacerbated by The Clock\'s malfunction, heightening his sense of disorientation."', 'source_id': 'chunk-c7b10789a9cb0af6c553730b29bd9034'} +2024-10-30 06:51:00,435 - lightrag - INFO - get_edge:query: + MATCH (start:`SCROOGE`)-[r]->(end:`TOPPER`) + RETURN properties(r) as edge_properties + LIMIT 1 + :result:{'keywords': '"celebration, friendship""observation, merriment""playfulness, interaction"', 'weight': 20.0, 'description': '"Scrooge and Topper participate in the games, showcasing the playful atmosphere of the Christmas gathering and hinting at Scrooge\'s changing attitude.""Scrooge observes Topper\'s antics and expressions of joy during the games, revealing a reflection on human nature and merriment.""Topper\'s presence at the Christmas gathering highlights the festive spirit and camaraderie among friends and family during the celebration."', 'source_id': 'chunk-43c9bee23adfa77aa9dedd22401bba7dchunk-94bea83e7153fc2064aa382b494936a1'} +2024-10-30 06:51:00,534 - lightrag - INFO - get_edge:query: + MATCH (start:`SCROOGE`)-[r]->(end:`THE KNOCKER`) + RETURN properties(r) as edge_properties + LIMIT 1 + :result:{'keywords': '"appreciation, transformation""haunting, symbol of guilt""symbolism, transformation"', 'weight': 24.0, 'description': '"Scrooge admires the knocker at his door, marking a positive change in his attitude towards life and surroundings.""The Knocker, transforming into Marley\'s face, symbolizes Scrooge\'s ghostly past and impending redemption challenges.""Scrooge perceives Marley\'s face in the knocker, symbolizing his own guilt and the haunting nature of his past choices."', 'source_id': 'chunk-d9aac3484185ac66045df92214d245d5chunk-8f738cb25d60a7dab782162d9d0a25ed'} +2024-10-30 06:51:00,628 - lightrag - INFO - get_edge:query: + MATCH (start:`CHRISTMAS-TIME`)-[r]->(end:`SCROOGE`) + RETURN properties(r) as edge_properties + LIMIT 1 + :result:{'keywords': '"cynicism, holiday spirit conflict""redemption, celebration"', 'weight': 19.0, 'description': '"Scrooge views Christmas-time as a burden rather than a celebration, contrasting with the feelings of others around him.""Scrooge\'s experiences during Christmas-time reflect his internal struggles and the possibility of redemption and joy."', 'source_id': 'chunk-5dac41b3f9eeaf794f0147400b1718cdchunk-c6c248858d1b13ab7ee9ca13c1aeed6b'} +2024-10-30 06:51:00,720 - lightrag - INFO - get_edge:query: + MATCH (start:`BOB CRATCHIT`)-[r]->(end:`PETER`) + RETURN properties(r) as edge_properties + LIMIT 1 + :result:{'keywords': '"family discussions, support""family support, concern"', 'weight': 12.0, 'description': '"Peter interacts with Bob Cratchit, showing the dynamics of a supportive family unit while discussing aspirations.""Peter shows concern for Bob, participating actively in family discussions and support."', 'source_id': 'chunk-1d4b58de5429cd1261370c231c8673e8'} +2024-10-30 06:51:00,814 - lightrag - INFO - get_edge:query: + MATCH (start:`MARLEY'S GHOST`)-[r]->(end:`THE CHAIN`) + RETURN properties(r) as edge_properties + LIMIT 1 + :result:{'keywords': '"regret, warning"', 'weight': 18.0, 'description': '"Marley\'s Ghost is bound by The Chain, which symbolizes his regrets and serves as a warning to Scrooge about the consequences of his own actions."', 'source_id': 'chunk-cb661c37436355ccec2769b1d0350c5f'} +2024-10-30 06:51:00,909 - lightrag - INFO - get_edge:query: + MATCH (start:`BELINDA CRATCHIT`)-[r]->(end:`CRATCHIT FAMILY`) + RETURN properties(r) as edge_properties + LIMIT 1 + :result:{'keywords': '"family participation, tradition"', 'weight': 8.0, 'description': '"Belinda Cratchit\'s role in sweetening the apple sauce shows her active involvement in family traditions during Christmas."', 'source_id': 'chunk-7e2e7ebcc19a53b399dc03aded4743e7'} +2024-10-30 06:51:01,002 - lightrag - INFO - get_edge:query: + MATCH (start:`RED-FACED GENTLEMAN`)-[r]->(end:`SCROOGE`) + RETURN properties(r) as edge_properties + LIMIT 1 + :result:{'keywords': '"humor, communal context"', 'weight': 12.0, 'description': '"Scrooge observes the conversation of the Red-faced Gentleman, which offers humorous insights into communal attitudes toward death."', 'source_id': 'chunk-f1a4fbcf1ed86864b9bfd5e8dba4c683'} +2024-10-30 06:51:01,099 - lightrag - INFO - get_edge:query: + MATCH (start:`SCROOGE`)-[r]->(end:`THE SITTING ROOM`) + RETURN properties(r) as edge_properties + LIMIT 1 + :result:{'keywords': '"reflection, transformation"', 'weight': 8.0, 'description': '"The Sitting Room is where Scrooge reflects on his past and contemplates his future, crucial to his transformation."', 'source_id': 'chunk-90b95db5c53e4364a6bee36b7aa4d70f'} +2024-10-30 06:51:01,193 - lightrag - INFO - get_edge:query: + MATCH (start:`CHRISTMAS`)-[r]->(end:`THE LAMPLIGHTER`) + RETURN properties(r) as edge_properties + LIMIT 1 + :result:{'keywords': '"symbolism, holiday spirit"', 'weight': 7.0, 'description': '"The Lamplighter\'s actions of spreading light symbolize the joy and warmth associated with Christmas."', 'source_id': 'chunk-91614df5cb74cbe5e109a338a82041e9'} +2024-10-30 06:51:01,285 - lightrag - INFO - get_edge:query: + MATCH (start:`SCROOGE`)-[r]->(end:`THE DECEASED MAN`) + RETURN properties(r) as edge_properties + LIMIT 1 + :result:{'keywords': '"moral reflection, consequence"', 'weight': 18.0, 'description': '"Scrooge reflects on the life and death of The Deceased Man, prompting introspection about his own life choices."', 'source_id': 'chunk-e1f29eeadc1d8ab46dc8a0bbd3c56b64'} +2024-10-30 06:51:01,379 - lightrag - INFO - get_edge:query: + MATCH (start:`SCROOGE`)-[r]->(end:`THE CASK`) + RETURN properties(r) as edge_properties + LIMIT 1 + :result:{'keywords': '"fear, tension"', 'weight': 8.0, 'description': '"The Cask is associated with the sounds of chains during the haunting, heightening Scrooge\'s fear and trepidation about the ghostly visit."', 'source_id': 'chunk-9c43dac2fcd5b578242d907ea6f8fc7b'} +2024-10-30 06:51:01,480 - lightrag - INFO - edge_degree:query:MATCH (n1:`GHOST`)-[r]-(n2:`SCROOGE`) + RETURN count(r) AS degree:result:1 +2024-10-30 06:51:01,573 - lightrag - INFO - edge_degree:query:MATCH (n1:`SCROOGE`)-[r]-(n2:`THE TURKEY`) + RETURN count(r) AS degree:result:1 +2024-10-30 06:51:01,666 - lightrag - INFO - edge_degree:query:MATCH (n1:`SCROOGE`)-[r]-(n2:`THE PRESENT`) + RETURN count(r) AS degree:result:1 +2024-10-30 06:51:01,760 - lightrag - INFO - edge_degree:query:MATCH (n1:`LITTLE FAN`)-[r]-(n2:`SCROOGE`) + RETURN count(r) AS degree:result:1 +2024-10-30 06:51:01,855 - lightrag - INFO - edge_degree:query:MATCH (n1:`ALMSHOUSE`)-[r]-(n2:`SPIRIT`) + RETURN count(r) AS degree:result:1 +2024-10-30 06:51:01,947 - lightrag - INFO - edge_degree:query:MATCH (n1:`HOPE`)-[r]-(n2:`THE COMELY MATRON`) + RETURN count(r) AS degree:result:1 +2024-10-30 06:51:02,042 - lightrag - INFO - edge_degree:query:MATCH (n1:`CHRISTMAS`)-[r]-(n2:`THE GROCERS`) + RETURN count(r) AS degree:result:1 +2024-10-30 06:51:02,134 - lightrag - INFO - edge_degree:query:MATCH (n1:`SCROOGE`)-[r]-(n2:`THE SPIRITS`) + RETURN count(r) AS degree:result:1 +2024-10-30 06:51:02,226 - lightrag - INFO - edge_degree:query:MATCH (n1:`BOB CRATCHIT`)-[r]-(n2:`TINY TIM`) + RETURN count(r) AS degree:result:1 +2024-10-30 06:51:02,316 - lightrag - INFO - edge_degree:query:MATCH (n1:`GHOST OF CHRISTMAS PAST`)-[r]-(n2:`SCROOGE`) + RETURN count(r) AS degree:result:1 +2024-10-30 06:51:02,406 - lightrag - INFO - edge_degree:query:MATCH (n1:`CHRISTMAS`)-[r]-(n2:`THE MANSION HOUSE`) + RETURN count(r) AS degree:result:1 +2024-10-30 06:51:02,499 - lightrag - INFO - edge_degree:query:MATCH (n1:`GRAVE`)-[r]-(n2:`SCROOGE`) + RETURN count(r) AS degree:result:1 +2024-10-30 06:51:02,591 - lightrag - INFO - edge_degree:query:MATCH (n1:`MARLEY`)-[r]-(n2:`SCROOGE AND MARLEY'S`) + RETURN count(r) AS degree:result:1 +2024-10-30 06:51:02,681 - lightrag - INFO - edge_degree:query:MATCH (n1:`SCROOGE`)-[r]-(n2:`THE GRATE`) + RETURN count(r) AS degree:result:1 +2024-10-30 06:51:02,774 - lightrag - INFO - edge_degree:query:MATCH (n1:`SCROOGE`)-[r]-(n2:`THE DYING FLAME`) + RETURN count(r) AS degree:result:1 +2024-10-30 06:51:02,870 - lightrag - INFO - edge_degree:query:MATCH (n1:`CAROLINE`)-[r]-(n2:`THE HUSBAND`) + RETURN count(r) AS degree:result:1 +2024-10-30 06:51:02,963 - lightrag - INFO - edge_degree:query:MATCH (n1:`CHRISTMAS EVES`)-[r]-(n2:`SCROOGE`) + RETURN count(r) AS degree:result:1 +2024-10-30 06:51:03,056 - lightrag - INFO - edge_degree:query:MATCH (n1:`BOB CRATCHIT`)-[r]-(n2:`THE CRATCHIT HOUSEHOLD`) + RETURN count(r) AS degree:result:1 +2024-10-30 06:51:03,149 - lightrag - INFO - edge_degree:query:MATCH (n1:`BOB CRATCHIT`)-[r]-(n2:`SPIRIT OF CHRISTMAS PRESENT`) + RETURN count(r) AS degree:result:1 +2024-10-30 06:51:03,241 - lightrag - INFO - edge_degree:query:MATCH (n1:`THE CANDLE`)-[r]-(n2:`THE FOG AND FROST`) + RETURN count(r) AS degree:result:1 +2024-10-30 06:51:03,335 - lightrag - INFO - edge_degree:query:MATCH (n1:`CHRISTMAS`)-[r]-(n2:`THE GHOST`) + RETURN count(r) AS degree:result:1 +2024-10-30 06:51:03,426 - lightrag - INFO - edge_degree:query:MATCH (n1:`BOB`)-[r]-(n2:`SCROOGE`) + RETURN count(r) AS degree:result:1 +2024-10-30 06:51:03,519 - lightrag - INFO - edge_degree:query:MATCH (n1:`FEZZIWIG`)-[r]-(n2:`SCROOGE`) + RETURN count(r) AS degree:result:1 +2024-10-30 06:51:03,609 - lightrag - INFO - edge_degree:query:MATCH (n1:`GHOST OF CHRISTMAS PRESENT`)-[r]-(n2:`SCROOGE`) + RETURN count(r) AS degree:result:1 +2024-10-30 06:51:03,702 - lightrag - INFO - edge_degree:query:MATCH (n1:`SCROOGE`)-[r]-(n2:`SPIRIT`) + RETURN count(r) AS degree:result:1 +2024-10-30 06:51:03,794 - lightrag - INFO - edge_degree:query:MATCH (n1:`SCROOGE`)-[r]-(n2:`THE BOY`) + RETURN count(r) AS degree:result:1 +2024-10-30 06:51:03,886 - lightrag - INFO - edge_degree:query:MATCH (n1:`SCROOGE`)-[r]-(n2:`THE GHOST`) + RETURN count(r) AS degree:result:1 +2024-10-30 06:51:03,983 - lightrag - INFO - edge_degree:query:MATCH (n1:`THE CRATCHIT FAMILY`)-[r]-(n2:`TINY TIM`) + RETURN count(r) AS degree:result:1 +2024-10-30 06:51:04,075 - lightrag - INFO - edge_degree:query:MATCH (n1:`SCROOGE`)-[r]-(n2:`THE GHOST OF CHRISTMAS PAST`) + RETURN count(r) AS degree:result:1 +2024-10-30 06:51:04,167 - lightrag - INFO - edge_degree:query:MATCH (n1:`HAPPINESS`)-[r]-(n2:`THE BEAUTIFUL YOUNG GIRL`) + RETURN count(r) AS degree:result:1 +2024-10-30 06:51:04,261 - lightrag - INFO - edge_degree:query:MATCH (n1:`EBENEZER SCROOGE`)-[r]-(n2:`TINY TIM`) + RETURN count(r) AS degree:result:1 +2024-10-30 06:51:04,349 - lightrag - INFO - edge_degree:query:MATCH (n1:`SCROOGE`)-[r]-(n2:`THE GENTLEMEN`) + RETURN count(r) AS degree:result:1 +2024-10-30 06:51:04,444 - lightrag - INFO - edge_degree:query:MATCH (n1:`SCROOGE`)-[r]-(n2:`THE PHANTOM VOICES`) + RETURN count(r) AS degree:result:1 +2024-10-30 06:51:04,538 - lightrag - INFO - edge_degree:query:MATCH (n1:`DICK WILKINS`)-[r]-(n2:`SCROOGE`) + RETURN count(r) AS degree:result:1 +2024-10-30 06:51:04,630 - lightrag - INFO - edge_degree:query:MATCH (n1:`DINNER`)-[r]-(n2:`SCROOGE'S NEPHEW`) + RETURN count(r) AS degree:result:1 +2024-10-30 06:51:04,721 - lightrag - INFO - edge_degree:query:MATCH (n1:`BOB CRATCHIT`)-[r]-(n2:`MASTER PETER`) + RETURN count(r) AS degree:result:1 +2024-10-30 06:51:04,813 - lightrag - INFO - edge_degree:query:MATCH (n1:`SCROOGE`)-[r]-(n2:`THE FUNERAL`) + RETURN count(r) AS degree:result:1 +2024-10-30 06:51:04,905 - lightrag - INFO - edge_degree:query:MATCH (n1:`SCROOGE`)-[r]-(n2:`STREET`) + RETURN count(r) AS degree:result:1 +2024-10-30 06:51:05,000 - lightrag - INFO - edge_degree:query:MATCH (n1:`SCROOGE`)-[r]-(n2:`THE GRAVE`) + RETURN count(r) AS degree:result:1 +2024-10-30 06:51:05,093 - lightrag - INFO - edge_degree:query:MATCH (n1:`JOE`)-[r]-(n2:`THE DECEASED`) + RETURN count(r) AS degree:result:1 +2024-10-30 06:51:05,191 - lightrag - INFO - edge_degree:query:MATCH (n1:`CHRISTMAS`)-[r]-(n2:`TINY TIM`) + RETURN count(r) AS degree:result:1 +2024-10-30 06:51:05,282 - lightrag - INFO - edge_degree:query:MATCH (n1:`IGNORANCE`)-[r]-(n2:`SCROOGE`) + RETURN count(r) AS degree:result:1 +2024-10-30 06:51:05,374 - lightrag - INFO - edge_degree:query:MATCH (n1:`MANKIND`)-[r]-(n2:`SCROOGE`) + RETURN count(r) AS degree:result:1 +2024-10-30 06:51:05,467 - lightrag - INFO - edge_degree:query:MATCH (n1:`GAOL`)-[r]-(n2:`SPIRIT`) + RETURN count(r) AS degree:result:1 +2024-10-30 06:51:05,561 - lightrag - INFO - edge_degree:query:MATCH (n1:`THE FIRE`)-[r]-(n2:`TINY TIM`) + RETURN count(r) AS degree:result:1 +2024-10-30 06:51:05,650 - lightrag - INFO - edge_degree:query:MATCH (n1:`ORSON`)-[r]-(n2:`SCROOGE`) + RETURN count(r) AS degree:result:1 +2024-10-30 06:51:05,741 - lightrag - INFO - edge_degree:query:MATCH (n1:`BELLE`)-[r]-(n2:`SCROOGE`) + RETURN count(r) AS degree:result:1 +2024-10-30 06:51:05,832 - lightrag - INFO - edge_degree:query:MATCH (n1:`COURT`)-[r]-(n2:`SCROOGE`) + RETURN count(r) AS degree:result:1 +2024-10-30 06:51:05,926 - lightrag - INFO - edge_degree:query:MATCH (n1:`SCROOGE`)-[r]-(n2:`THE CORPSE`) + RETURN count(r) AS degree:result:1 +2024-10-30 06:51:06,020 - lightrag - INFO - edge_degree:query:MATCH (n1:`CHRISTMAS`)-[r]-(n2:`SPANISH ONIONS`) + RETURN count(r) AS degree:result:1 +2024-10-30 06:51:06,112 - lightrag - INFO - edge_degree:query:MATCH (n1:`CHURCH`)-[r]-(n2:`SCROOGE`) + RETURN count(r) AS degree:result:1 +2024-10-30 06:51:06,205 - lightrag - INFO - edge_degree:query:MATCH (n1:`CRATCHIT FAMILY`)-[r]-(n2:`MASTER PETER CRATCHIT`) + RETURN count(r) AS degree:result:1 +2024-10-30 06:51:06,300 - lightrag - INFO - edge_degree:query:MATCH (n1:`SCROOGE`)-[r]-(n2:`THE GHOST OF MARLEY`) + RETURN count(r) AS degree:result:1 +2024-10-30 06:51:06,392 - lightrag - INFO - edge_degree:query:MATCH (n1:`CRATCHIT CHRISTMAS DINNER`)-[r]-(n2:`CRATCHIT FAMILY`) + RETURN count(r) AS degree:result:1 +2024-10-30 06:51:06,487 - lightrag - INFO - edge_degree:query:MATCH (n1:`THE CHILDREN`)-[r]-(n2:`THE MOTHER`) + RETURN count(r) AS degree:result:1 +2024-10-30 06:51:06,579 - lightrag - INFO - edge_degree:query:MATCH (n1:`CRATCHIT FAMILY`)-[r]-(n2:`THE SPIRIT`) + RETURN count(r) AS degree:result:1 +2024-10-30 06:51:06,678 - lightrag - INFO - edge_degree:query:MATCH (n1:`SCHOOL`)-[r]-(n2:`SPIRIT`) + RETURN count(r) AS degree:result:1 +2024-10-30 06:51:06,773 - lightrag - INFO - edge_degree:query:MATCH (n1:`CRATCHIT FAMILY`)-[r]-(n2:`THE GOOSE`) + RETURN count(r) AS degree:result:1 +2024-10-30 06:51:06,873 - lightrag - INFO - edge_degree:query:MATCH (n1:`CHRISTMAS`)-[r]-(n2:`MISTLETOE`) + RETURN count(r) AS degree:result:1 +2024-10-30 06:51:06,969 - lightrag - INFO - edge_degree:query:MATCH (n1:`DEATH`)-[r]-(n2:`SCROOGE`) + RETURN count(r) AS degree:result:1 +2024-10-30 06:51:07,064 - lightrag - INFO - edge_degree:query:MATCH (n1:`SCROOGE`)-[r]-(n2:`THE DOWERLESS GIRL`) + RETURN count(r) AS degree:result:1 +2024-10-30 06:51:07,159 - lightrag - INFO - edge_degree:query:MATCH (n1:`CRATCHIT FAMILY`)-[r]-(n2:`DEATH`) + RETURN count(r) AS degree:result:1 +2024-10-30 06:51:07,254 - lightrag - INFO - edge_degree:query:MATCH (n1:`FELLOW-BEINGS`)-[r]-(n2:`SCROOGE`) + RETURN count(r) AS degree:result:1 +2024-10-30 06:51:07,346 - lightrag - INFO - edge_degree:query:MATCH (n1:`CLERK`)-[r]-(n2:`SCROOGE`) + RETURN count(r) AS degree:result:1 +2024-10-30 06:51:07,438 - lightrag - INFO - edge_degree:query:MATCH (n1:`SCROOGE`)-[r]-(n2:`THE DECEASED`) + RETURN count(r) AS degree:result:1 +2024-10-30 06:51:07,530 - lightrag - INFO - edge_degree:query:MATCH (n1:`SCROOGE`)-[r]-(n2:`THE LAMPLIGHTER`) + RETURN count(r) AS degree:result:1 +2024-10-30 06:51:07,631 - lightrag - INFO - edge_degree:query:MATCH (n1:`DICK`)-[r]-(n2:`SCROOGE`) + RETURN count(r) AS degree:result:1 +2024-10-30 06:51:07,724 - lightrag - INFO - edge_degree:query:MATCH (n1:`OLD JOE`)-[r]-(n2:`THE SHOP`) + RETURN count(r) AS degree:result:1 +2024-10-30 06:51:07,817 - lightrag - INFO - edge_degree:query:MATCH (n1:`SCROOGE`)-[r]-(n2:`THE CRATCHIT HOUSE`) + RETURN count(r) AS degree:result:1 +2024-10-30 06:51:07,908 - lightrag - INFO - edge_degree:query:MATCH (n1:`ALI BABA`)-[r]-(n2:`SCROOGE`) + RETURN count(r) AS degree:result:1 +2024-10-30 06:51:08,006 - lightrag - INFO - edge_degree:query:MATCH (n1:`JACOB`)-[r]-(n2:`SCROOGE`) + RETURN count(r) AS degree:result:1 +2024-10-30 06:51:08,098 - lightrag - INFO - edge_degree:query:MATCH (n1:`THE BUNDLE`)-[r]-(n2:`THE DECEASED MAN`) + RETURN count(r) AS degree:result:1 +2024-10-30 06:51:08,191 - lightrag - INFO - edge_degree:query:MATCH (n1:`CHILDREN`)-[r]-(n2:`SPIRIT`) + RETURN count(r) AS degree:result:1 +2024-10-30 06:51:08,284 - lightrag - INFO - edge_degree:query:MATCH (n1:`COUNTING-HOUSE`)-[r]-(n2:`SCROOGE`) + RETURN count(r) AS degree:result:1 +2024-10-30 06:51:08,377 - lightrag - INFO - edge_degree:query:MATCH (n1:`SCROOGE`)-[r]-(n2:`THE GHOST OF CHRISTMAS PRESENT`) + RETURN count(r) AS degree:result:1 +2024-10-30 06:51:08,475 - lightrag - INFO - edge_degree:query:MATCH (n1:`SCHOOL`)-[r]-(n2:`SCROOGE`) + RETURN count(r) AS degree:result:1 +2024-10-30 06:51:08,568 - lightrag - INFO - edge_degree:query:MATCH (n1:`JOE`)-[r]-(n2:`SCROOGE`) + RETURN count(r) AS degree:result:1 +2024-10-30 06:51:08,661 - lightrag - INFO - edge_degree:query:MATCH (n1:`CHRISTMAS`)-[r]-(n2:`SCROOGE'S NEPHEW`) + RETURN count(r) AS degree:result:1 +2024-10-30 06:51:08,755 - lightrag - INFO - edge_degree:query:MATCH (n1:`THE DAUGHTER`)-[r]-(n2:`THE MOTHER`) + RETURN count(r) AS degree:result:1 +2024-10-30 06:51:08,848 - lightrag - INFO - edge_degree:query:MATCH (n1:`BOB CRATCHIT`)-[r]-(n2:`THE TANK`) + RETURN count(r) AS degree:result:1 +2024-10-30 06:51:08,942 - lightrag - INFO - edge_degree:query:MATCH (n1:`SCROOGE`)-[r]-(n2:`THE HOUSE`) + RETURN count(r) AS degree:result:1 +2024-10-30 06:51:09,037 - lightrag - INFO - edge_degree:query:MATCH (n1:`GHOST OF CHRISTMAS PRESENT`)-[r]-(n2:`SPIRIT`) + RETURN count(r) AS degree:result:1 +2024-10-30 06:51:09,132 - lightrag - INFO - edge_degree:query:MATCH (n1:`SCROOGE`)-[r]-(n2:`THE CLOCK`) + RETURN count(r) AS degree:result:1 +2024-10-30 06:51:09,224 - lightrag - INFO - edge_degree:query:MATCH (n1:`BOB CRATCHIT`)-[r]-(n2:`THE POULTERER'S`) + RETURN count(r) AS degree:result:1 +2024-10-30 06:51:09,323 - lightrag - INFO - edge_degree:query:MATCH (n1:`BEDLAM`)-[r]-(n2:`SCROOGE`) + RETURN count(r) AS degree:result:1 +2024-10-30 06:51:09,414 - lightrag - INFO - edge_degree:query:MATCH (n1:`CHRISTMAS CAROL`)-[r]-(n2:`SCROOGE`) + RETURN count(r) AS degree:result:1 +2024-10-30 06:51:09,505 - lightrag - INFO - edge_degree:query:MATCH (n1:`SCROOGE`)-[r]-(n2:`THE BELL`) + RETURN count(r) AS degree:result:1 +2024-10-30 06:51:09,598 - lightrag - INFO - edge_degree:query:MATCH (n1:`CHILDREN`)-[r]-(n2:`SCROOGE`) + RETURN count(r) AS degree:result:1 +2024-10-30 06:51:09,688 - lightrag - INFO - edge_degree:query:MATCH (n1:`GHOST`)-[r]-(n2:`SPECTRE`) + RETURN count(r) AS degree:result:1 +2024-10-30 06:51:09,780 - lightrag - INFO - edge_degree:query:MATCH (n1:`POOR AND DESTITUTE`)-[r]-(n2:`SCROOGE`) + RETURN count(r) AS degree:result:1 +2024-10-30 06:51:09,873 - lightrag - INFO - edge_degree:query:MATCH (n1:`BOYS`)-[r]-(n2:`SCROOGE`) + RETURN count(r) AS degree:result:1 +2024-10-30 06:51:09,965 - lightrag - INFO - edge_degree:query:MATCH (n1:`CHRISTMAS DAY`)-[r]-(n2:`SCROOGE`) + RETURN count(r) AS degree:result:1 +2024-10-30 06:51:10,058 - lightrag - INFO - edge_degree:query:MATCH (n1:`BOB CRATCHIT`)-[r]-(n2:`CHRISTMAS EVE`) + RETURN count(r) AS degree:result:1 +2024-10-30 06:51:10,151 - lightrag - INFO - edge_degree:query:MATCH (n1:`BOB CRATCHIT`)-[r]-(n2:`CAMDEN TOWN`) + RETURN count(r) AS degree:result:1 +2024-10-30 06:51:10,246 - lightrag - INFO - edge_degree:query:MATCH (n1:`CHRISTMAS`)-[r]-(n2:`THE SHIP`) + RETURN count(r) AS degree:result:1 +2024-10-30 06:51:10,339 - lightrag - INFO - edge_degree:query:MATCH (n1:`IGNORANCE`)-[r]-(n2:`SPIRIT`) + RETURN count(r) AS degree:result:1 +2024-10-30 06:51:10,431 - lightrag - INFO - edge_degree:query:MATCH (n1:`SCROOGE`)-[r]-(n2:`WEALTH`) + RETURN count(r) AS degree:result:1 +2024-10-30 06:51:10,521 - lightrag - INFO - edge_degree:query:MATCH (n1:`SCROOGE`)-[r]-(n2:`THE THREE SPIRITS`) + RETURN count(r) AS degree:result:1 +2024-10-30 06:51:10,615 - lightrag - INFO - edge_degree:query:MATCH (n1:`LONDON`)-[r]-(n2:`SCROOGE`) + RETURN count(r) AS degree:result:1 +2024-10-30 06:51:10,708 - lightrag - INFO - edge_degree:query:MATCH (n1:`BUSINESSMEN`)-[r]-(n2:`SCROOGE`) + RETURN count(r) AS degree:result:1 +2024-10-30 06:51:10,801 - lightrag - INFO - edge_degree:query:MATCH (n1:`BOB CRATCHIT`)-[r]-(n2:`THE FAMILY`) + RETURN count(r) AS degree:result:1 +2024-10-30 06:51:10,897 - lightrag - INFO - edge_degree:query:MATCH (n1:`BOB`)-[r]-(n2:`TINY TIM`) + RETURN count(r) AS degree:result:1 +2024-10-30 06:51:11,002 - lightrag - INFO - edge_degree:query:MATCH (n1:`MARLEY`)-[r]-(n2:`THE KNOCKER`) + RETURN count(r) AS degree:result:1 +2024-10-30 06:51:11,097 - lightrag - INFO - edge_degree:query:MATCH (n1:`BEGGARS`)-[r]-(n2:`SCROOGE`) + RETURN count(r) AS degree:result:1 +2024-10-30 06:51:11,191 - lightrag - INFO - edge_degree:query:MATCH (n1:`GHOST OF CHRISTMAS PRESENT`)-[r]-(n2:`TINY TIM`) + RETURN count(r) AS degree:result:1 +2024-10-30 06:51:11,285 - lightrag - INFO - edge_degree:query:MATCH (n1:`SCROOGE`)-[r]-(n2:`WINDING RIVER`) + RETURN count(r) AS degree:result:1 +2024-10-30 06:51:11,377 - lightrag - INFO - edge_degree:query:MATCH (n1:`MULTITUDES`)-[r]-(n2:`SCROOGE`) + RETURN count(r) AS degree:result:1 +2024-10-30 06:51:11,473 - lightrag - INFO - edge_degree:query:MATCH (n1:`SCROOGE`)-[r]-(n2:`SPIRIT OF CHRISTMAS PRESENT`) + RETURN count(r) AS degree:result:1 +2024-10-30 06:51:11,566 - lightrag - INFO - edge_degree:query:MATCH (n1:`THE LIGHTHOUSE`)-[r]-(n2:`THE WAVE`) + RETURN count(r) AS degree:result:1 +2024-10-30 06:51:11,660 - lightrag - INFO - edge_degree:query:MATCH (n1:`SPIRIT`)-[r]-(n2:`THE EVENT OF DEATH`) + RETURN count(r) AS degree:result:1 +2024-10-30 06:51:11,755 - lightrag - INFO - edge_degree:query:MATCH (n1:`MRS. CRATCHIT`)-[r]-(n2:`SCROOGE`) + RETURN count(r) AS degree:result:1 +2024-10-30 06:51:11,849 - lightrag - INFO - edge_degree:query:MATCH (n1:`SCROOGE`)-[r]-(n2:`THE WINDOW`) + RETURN count(r) AS degree:result:1 +2024-10-30 06:51:11,941 - lightrag - INFO - edge_degree:query:MATCH (n1:`FOG`)-[r]-(n2:`SCROOGE`) + RETURN count(r) AS degree:result:1 +2024-10-30 06:51:12,036 - lightrag - INFO - edge_degree:query:MATCH (n1:`ROBIN CRUSOE`)-[r]-(n2:`SCROOGE`) + RETURN count(r) AS degree:result:1 +2024-10-30 06:51:12,131 - lightrag - INFO - edge_degree:query:MATCH (n1:`GHOST OF JACOB MARLEY`)-[r]-(n2:`SCROOGE`) + RETURN count(r) AS degree:result:1 +2024-10-30 06:51:12,225 - lightrag - INFO - edge_degree:query:MATCH (n1:`MARTHA CRATCHIT`)-[r]-(n2:`THE COUNTESS`) + RETURN count(r) AS degree:result:1 +2024-10-30 06:51:12,318 - lightrag - INFO - edge_degree:query:MATCH (n1:`SCROOGE`)-[r]-(n2:`TINY TIM`) + RETURN count(r) AS degree:result:1 +2024-10-30 06:51:12,411 - lightrag - INFO - edge_degree:query:MATCH (n1:`MR. MARLEY`)-[r]-(n2:`SCROOGE`) + RETURN count(r) AS degree:result:1 +2024-10-30 06:51:12,504 - lightrag - INFO - edge_degree:query:MATCH (n1:`CHRISTMAS`)-[r]-(n2:`GROCERS'`) + RETURN count(r) AS degree:result:1 +2024-10-30 06:51:12,598 - lightrag - INFO - edge_degree:query:MATCH (n1:`CHRISTMAS`)-[r]-(n2:`THE DINNER`) + RETURN count(r) AS degree:result:1 +2024-10-30 06:51:12,690 - lightrag - INFO - edge_degree:query:MATCH (n1:`APPLES`)-[r]-(n2:`CHRISTMAS`) + RETURN count(r) AS degree:result:1 +2024-10-30 06:51:12,784 - lightrag - INFO - edge_degree:query:MATCH (n1:`CLOCK`)-[r]-(n2:`SCROOGE`) + RETURN count(r) AS degree:result:1 +2024-10-30 06:51:12,880 - lightrag - INFO - edge_degree:query:MATCH (n1:`SCROOGE`)-[r]-(n2:`THE WAREHOUSE`) + RETURN count(r) AS degree:result:1 +2024-10-30 06:51:12,971 - lightrag - INFO - edge_degree:query:MATCH (n1:`JACOB MARLEY`)-[r]-(n2:`SCROOGE`) + RETURN count(r) AS degree:result:1 +2024-10-30 06:51:13,065 - lightrag - INFO - edge_degree:query:MATCH (n1:`CITY`)-[r]-(n2:`SCROOGE`) + RETURN count(r) AS degree:result:1 +2024-10-30 06:51:13,158 - lightrag - INFO - edge_degree:query:MATCH (n1:`SCROOGE`)-[r]-(n2:`THE YOUNG GIRL`) + RETURN count(r) AS degree:result:1 +2024-10-30 06:51:13,250 - lightrag - INFO - edge_degree:query:MATCH (n1:`CHRISTMAS`)-[r]-(n2:`THE SPIRIT`) + RETURN count(r) AS degree:result:1 +2024-10-30 06:51:13,343 - lightrag - INFO - edge_degree:query:MATCH (n1:`CHRISTMAS`)-[r]-(n2:`THE LIGHTHOUSE`) + RETURN count(r) AS degree:result:1 +2024-10-30 06:51:13,437 - lightrag - INFO - edge_degree:query:MATCH (n1:`CHRISTMAS`)-[r]-(n2:`CHRISTMAS EVE`) + RETURN count(r) AS degree:result:1 +2024-10-30 06:51:13,527 - lightrag - INFO - edge_degree:query:MATCH (n1:`SCROOGE`)-[r]-(n2:`SCROOGE'S NIECE`) + RETURN count(r) AS degree:result:1 +2024-10-30 06:51:13,620 - lightrag - INFO - edge_degree:query:MATCH (n1:`SCROOGE`)-[r]-(n2:`THE GIRL`) + RETURN count(r) AS degree:result:1 +2024-10-30 06:51:13,713 - lightrag - INFO - edge_degree:query:MATCH (n1:`SCROOGE`)-[r]-(n2:`THE POULTERER'S`) + RETURN count(r) AS degree:result:1 +2024-10-30 06:51:13,803 - lightrag - INFO - edge_degree:query:MATCH (n1:`THE CRATCHIT HOUSE`)-[r]-(n2:`THE DEBT`) + RETURN count(r) AS degree:result:1 +2024-10-30 06:51:13,897 - lightrag - INFO - edge_degree:query:MATCH (n1:`JOE`)-[r]-(n2:`THE WOMAN`) + RETURN count(r) AS degree:result:1 +2024-10-30 06:51:13,991 - lightrag - INFO - edge_degree:query:MATCH (n1:`CHRISTMAS HOLIDAYS`)-[r]-(n2:`SCROOGE`) + RETURN count(r) AS degree:result:1 +2024-10-30 06:51:14,088 - lightrag - INFO - edge_degree:query:MATCH (n1:`SCROOGE`)-[r]-(n2:`THE GOLDEN IDOL`) + RETURN count(r) AS degree:result:1 +2024-10-30 06:51:14,180 - lightrag - INFO - edge_degree:query:MATCH (n1:`OLD SCRATCH`)-[r]-(n2:`THE FUNERAL`) + RETURN count(r) AS degree:result:1 +2024-10-30 06:51:14,274 - lightrag - INFO - edge_degree:query:MATCH (n1:`MARLEY'S FUNERAL`)-[r]-(n2:`SCROOGE`) + RETURN count(r) AS degree:result:1 +2024-10-30 06:51:14,367 - lightrag - INFO - edge_degree:query:MATCH (n1:`SCROOGE`)-[r]-(n2:`THE OBSCURE PART OF TOWN`) + RETURN count(r) AS degree:result:1 +2024-10-30 06:51:14,461 - lightrag - INFO - edge_degree:query:MATCH (n1:`BOB CRATCHIT`)-[r]-(n2:`THE GATHERING`) + RETURN count(r) AS degree:result:1 +2024-10-30 06:51:14,556 - lightrag - INFO - edge_degree:query:MATCH (n1:`CHRISTMAS PUDDING`)-[r]-(n2:`CRATCHIT FAMILY`) + RETURN count(r) AS degree:result:1 +2024-10-30 06:51:14,653 - lightrag - INFO - edge_degree:query:MATCH (n1:`OLD SCROOGE`)-[r]-(n2:`SCROOGE`) + RETURN count(r) AS degree:result:1 +2024-10-30 06:51:14,747 - lightrag - INFO - edge_degree:query:MATCH (n1:`SCROOGE`)-[r]-(n2:`THE DARKNESS`) + RETURN count(r) AS degree:result:1 +2024-10-30 06:51:14,838 - lightrag - INFO - edge_degree:query:MATCH (n1:`BOB CRATCHIT`)-[r]-(n2:`CAROLINE`) + RETURN count(r) AS degree:result:1 +2024-10-30 06:51:14,933 - lightrag - INFO - edge_degree:query:MATCH (n1:`CHESTNUTS`)-[r]-(n2:`CHRISTMAS`) + RETURN count(r) AS degree:result:1 +2024-10-30 06:51:15,026 - lightrag - INFO - edge_degree:query:MATCH (n1:`THE LOW-BROWED SHOP`)-[r]-(n2:`THE TOWN`) + RETURN count(r) AS degree:result:1 +2024-10-30 06:51:15,121 - lightrag - INFO - edge_degree:query:MATCH (n1:`SCROOGE`)-[r]-(n2:`THE OLD GENTLEMAN`) + RETURN count(r) AS degree:result:1 +2024-10-30 06:51:15,214 - lightrag - INFO - edge_degree:query:MATCH (n1:`HOME`)-[r]-(n2:`THE MOTHER`) + RETURN count(r) AS degree:result:1 +2024-10-30 06:51:15,313 - lightrag - INFO - edge_degree:query:MATCH (n1:`SCROOGE`)-[r]-(n2:`THE BED`) + RETURN count(r) AS degree:result:1 +2024-10-30 06:51:15,410 - lightrag - INFO - edge_degree:query:MATCH (n1:`SCROOGE`)-[r]-(n2:`THE DRESSING-GOWN`) + RETURN count(r) AS degree:result:1 +2024-10-30 06:51:15,502 - lightrag - INFO - edge_degree:query:MATCH (n1:`SCROOGE`)-[r]-(n2:`SUNDAY CLOTHES BOY`) + RETURN count(r) AS degree:result:1 +2024-10-30 06:51:15,594 - lightrag - INFO - edge_degree:query:MATCH (n1:`SCROOGE`)-[r]-(n2:`THE YARD`) + RETURN count(r) AS degree:result:1 +2024-10-30 06:51:15,687 - lightrag - INFO - edge_degree:query:MATCH (n1:`CHRISTMAS EVE`)-[r]-(n2:`SCROOGE`) + RETURN count(r) AS degree:result:1 +2024-10-30 06:51:15,781 - lightrag - INFO - edge_degree:query:MATCH (n1:`COLD WEATHER`)-[r]-(n2:`SCROOGE`) + RETURN count(r) AS degree:result:1 +2024-10-30 06:51:15,873 - lightrag - INFO - edge_degree:query:MATCH (n1:`MARLEY`)-[r]-(n2:`SCROOGE`) + RETURN count(r) AS degree:result:1 +2024-10-30 06:51:15,964 - lightrag - INFO - edge_degree:query:MATCH (n1:`FRED`)-[r]-(n2:`SCROOGE`) + RETURN count(r) AS degree:result:1 +2024-10-30 06:51:16,056 - lightrag - INFO - edge_degree:query:MATCH (n1:`SCROOGE`)-[r]-(n2:`SCROOGE'S NEPHEW`) + RETURN count(r) AS degree:result:1 +2024-10-30 06:51:16,150 - lightrag - INFO - edge_degree:query:MATCH (n1:`GHOST OF CHRISTMAS YET TO COME`)-[r]-(n2:`SPIRIT`) + RETURN count(r) AS degree:result:1 +2024-10-30 06:51:16,243 - lightrag - INFO - edge_degree:query:MATCH (n1:`MISERY'S REFUGE`)-[r]-(n2:`SPIRIT`) + RETURN count(r) AS degree:result:1 +2024-10-30 06:51:16,342 - lightrag - INFO - edge_degree:query:MATCH (n1:`SCROOGE`)-[r]-(n2:`THE CHURCH`) + RETURN count(r) AS degree:result:1 +2024-10-30 06:51:16,438 - lightrag - INFO - edge_degree:query:MATCH (n1:`CHRISTMAS`)-[r]-(n2:`PEARS`) + RETURN count(r) AS degree:result:1 +2024-10-30 06:51:16,528 - lightrag - INFO - edge_degree:query:MATCH (n1:`THE FATHER`)-[r]-(n2:`THE MOTHER`) + RETURN count(r) AS degree:result:1 +2024-10-30 06:51:16,619 - lightrag - INFO - edge_degree:query:MATCH (n1:`SCROOGE`)-[r]-(n2:`THE PEOPLE`) + RETURN count(r) AS degree:result:1 +2024-10-30 06:51:16,707 - lightrag - INFO - edge_degree:query:MATCH (n1:`CRATCHIT FAMILY`)-[r]-(n2:`SCROOGE`) + RETURN count(r) AS degree:result:1 +2024-10-30 06:51:16,800 - lightrag - INFO - edge_degree:query:MATCH (n1:`CRATCHIT FAMILY`)-[r]-(n2:`MRS. CRATCHIT`) + RETURN count(r) AS degree:result:1 +2024-10-30 06:51:16,893 - lightrag - INFO - edge_degree:query:MATCH (n1:`CHRISTMAS-TIME`)-[r]-(n2:`THE PHANTOM`) + RETURN count(r) AS degree:result:1 +2024-10-30 06:51:16,988 - lightrag - INFO - edge_degree:query:MATCH (n1:`CHRISTMAS`)-[r]-(n2:`GREAT BRITAIN`) + RETURN count(r) AS degree:result:1 +2024-10-30 06:51:17,084 - lightrag - INFO - edge_degree:query:MATCH (n1:`GHOST OF CHRISTMAS YET TO COME`)-[r]-(n2:`SCROOGE`) + RETURN count(r) AS degree:result:1 +2024-10-30 06:51:17,178 - lightrag - INFO - edge_degree:query:MATCH (n1:`CHRISTMAS`)-[r]-(n2:`HOLLY`) + RETURN count(r) AS degree:result:1 +2024-10-30 06:51:17,271 - lightrag - INFO - edge_degree:query:MATCH (n1:`SCROOGE`)-[r]-(n2:`SHADOW OF HIMSELF`) + RETURN count(r) AS degree:result:1 +2024-10-30 06:51:17,366 - lightrag - INFO - edge_degree:query:MATCH (n1:`SCROOGE`)-[r]-(n2:`THE CLERK`) + RETURN count(r) AS degree:result:1 +2024-10-30 06:51:17,458 - lightrag - INFO - edge_degree:query:MATCH (n1:`SCROOGE`)-[r]-(n2:`THE GHOST OF JACOB MARLEY`) + RETURN count(r) AS degree:result:1 +2024-10-30 06:51:17,551 - lightrag - INFO - edge_degree:query:MATCH (n1:`CHRISTMAS`)-[r]-(n2:`GEESE`) + RETURN count(r) AS degree:result:1 +2024-10-30 06:51:17,644 - lightrag - INFO - edge_degree:query:MATCH (n1:`SCROOGE`)-[r]-(n2:`THE MAIN STREET`) + RETURN count(r) AS degree:result:1 +2024-10-30 06:51:17,737 - lightrag - INFO - edge_degree:query:MATCH (n1:`SCROOGE`)-[r]-(n2:`VALENTINE`) + RETURN count(r) AS degree:result:1 +2024-10-30 06:51:17,827 - lightrag - INFO - edge_degree:query:MATCH (n1:`SCROOGE`)-[r]-(n2:`THE GHOST OF CHRISTMAS FUTURE`) + RETURN count(r) AS degree:result:1 +2024-10-30 06:51:17,918 - lightrag - INFO - edge_degree:query:MATCH (n1:`SCROOGE`)-[r]-(n2:`TWELFTH-NIGHT PARTY`) + RETURN count(r) AS degree:result:1 +2024-10-30 06:51:18,013 - lightrag - INFO - edge_degree:query:MATCH (n1:`THE CRATCHIT FAMILY`)-[r]-(n2:`THE DINNER`) + RETURN count(r) AS degree:result:1 +2024-10-30 06:51:18,105 - lightrag - INFO - edge_degree:query:MATCH (n1:`BOB CRATCHIT`)-[r]-(n2:`THE COUNTING-HOUSE`) + RETURN count(r) AS degree:result:1 +2024-10-30 06:51:18,194 - lightrag - INFO - edge_degree:query:MATCH (n1:`DEATH`)-[r]-(n2:`THE BED`) + RETURN count(r) AS degree:result:1 +2024-10-30 06:51:18,287 - lightrag - INFO - edge_degree:query:MATCH (n1:`CITY`)-[r]-(n2:`SPIRIT`) + RETURN count(r) AS degree:result:1 +2024-10-30 06:51:18,382 - lightrag - INFO - edge_degree:query:MATCH (n1:`CHRISTMAS FEAST`)-[r]-(n2:`CRATCHIT FAMILY`) + RETURN count(r) AS degree:result:1 +2024-10-30 06:51:18,476 - lightrag - INFO - edge_degree:query:MATCH (n1:`CRATCHIT FAMILY`)-[r]-(n2:`MARTHA`) + RETURN count(r) AS degree:result:1 +2024-10-30 06:51:18,566 - lightrag - INFO - edge_degree:query:MATCH (n1:`SCROOGE`)-[r]-(n2:`THE BUSINESSMEN`) + RETURN count(r) AS degree:result:1 +2024-10-30 06:51:18,657 - lightrag - INFO - edge_degree:query:MATCH (n1:`SCROOGE`)-[r]-(n2:`THE GENTLEMAN`) + RETURN count(r) AS degree:result:1 +2024-10-30 06:51:18,748 - lightrag - INFO - edge_degree:query:MATCH (n1:`JACOB MARLEY`)-[r]-(n2:`THE GHOST`) + RETURN count(r) AS degree:result:1 +2024-10-30 06:51:18,839 - lightrag - INFO - edge_degree:query:MATCH (n1:`MASTER SCROOGE`)-[r]-(n2:`SCROOGE`) + RETURN count(r) AS degree:result:1 +2024-10-30 06:51:18,935 - lightrag - INFO - edge_degree:query:MATCH (n1:`MANSION`)-[r]-(n2:`SCROOGE`) + RETURN count(r) AS degree:result:1 +2024-10-30 06:51:19,034 - lightrag - INFO - edge_degree:query:MATCH (n1:`CHRISTMAS`)-[r]-(n2:`FRENCH PLUMS`) + RETURN count(r) AS degree:result:1 +2024-10-30 06:51:19,126 - lightrag - INFO - edge_degree:query:MATCH (n1:`CHRISTMAS`)-[r]-(n2:`FIGS`) + RETURN count(r) AS degree:result:1 +2024-10-30 06:51:19,216 - lightrag - INFO - edge_degree:query:MATCH (n1:`BOB CRATCHIT`)-[r]-(n2:`SCROOGE`) + RETURN count(r) AS degree:result:1 +2024-10-30 06:51:19,308 - lightrag - INFO - edge_degree:query:MATCH (n1:`BRIDGE`)-[r]-(n2:`SCROOGE`) + RETURN count(r) AS degree:result:1 +2024-10-30 06:51:19,404 - lightrag - INFO - edge_degree:query:MATCH (n1:`SCROOGE`)-[r]-(n2:`THE BEAUTIFUL YOUNG GIRL`) + RETURN count(r) AS degree:result:1 +2024-10-30 06:51:19,497 - lightrag - INFO - edge_degree:query:MATCH (n1:`MRS. CRATCHIT`)-[r]-(n2:`TINY TIM`) + RETURN count(r) AS degree:result:1 +2024-10-30 06:51:19,589 - lightrag - INFO - edge_degree:query:MATCH (n1:`MARTHA`)-[r]-(n2:`TINY TIM`) + RETURN count(r) AS degree:result:1 +2024-10-30 06:51:19,684 - lightrag - INFO - edge_degree:query:MATCH (n1:`BOB CRATCHIT`)-[r]-(n2:`MRS. CRATCHIT`) + RETURN count(r) AS degree:result:1 +2024-10-30 06:51:19,775 - lightrag - INFO - edge_degree:query:MATCH (n1:`SCROOGE`)-[r]-(n2:`THE BLANKETS`) + RETURN count(r) AS degree:result:1 +2024-10-30 06:51:19,868 - lightrag - INFO - edge_degree:query:MATCH (n1:`SCROOGE`)-[r]-(n2:`TIM`) + RETURN count(r) AS degree:result:1 +2024-10-30 06:51:19,958 - lightrag - INFO - edge_degree:query:MATCH (n1:`MARLEY`)-[r]-(n2:`THE HEAVY CHAIN`) + RETURN count(r) AS degree:result:1 +2024-10-30 06:51:20,053 - lightrag - INFO - edge_degree:query:MATCH (n1:`MARLEY'S GHOST`)-[r]-(n2:`SCROOGE`) + RETURN count(r) AS degree:result:1 +2024-10-30 06:51:20,146 - lightrag - INFO - edge_degree:query:MATCH (n1:`BAD REPUTE`)-[r]-(n2:`SCROOGE`) + RETURN count(r) AS degree:result:1 +2024-10-30 06:51:20,239 - lightrag - INFO - edge_degree:query:MATCH (n1:`SCROOGE`)-[r]-(n2:`THE OFFICE`) + RETURN count(r) AS degree:result:1 +2024-10-30 06:51:20,334 - lightrag - INFO - edge_degree:query:MATCH (n1:`FAN`)-[r]-(n2:`SCROOGE`) + RETURN count(r) AS degree:result:1 +2024-10-30 06:51:20,432 - lightrag - INFO - edge_degree:query:MATCH (n1:`CAROLINE`)-[r]-(n2:`HOPE`) + RETURN count(r) AS degree:result:1 +2024-10-30 06:51:20,527 - lightrag - INFO - edge_degree:query:MATCH (n1:`MARTHA`)-[r]-(n2:`THE COUNTESS`) + RETURN count(r) AS degree:result:1 +2024-10-30 06:51:20,619 - lightrag - INFO - edge_degree:query:MATCH (n1:`THE CHILDREN`)-[r]-(n2:`THE HOUSE`) + RETURN count(r) AS degree:result:1 +2024-10-30 06:51:20,712 - lightrag - INFO - edge_degree:query:MATCH (n1:`SCROOGE`)-[r]-(n2:`THE COLD`) + RETURN count(r) AS degree:result:1 +2024-10-30 06:51:20,803 - lightrag - INFO - edge_degree:query:MATCH (n1:`BOB CRATCHIT`)-[r]-(n2:`THE CHRISTMAS DINNER`) + RETURN count(r) AS degree:result:1 +2024-10-30 06:51:20,898 - lightrag - INFO - edge_degree:query:MATCH (n1:`THE YOUNG CRATCHITS`)-[r]-(n2:`TINY TIM`) + RETURN count(r) AS degree:result:1 +2024-10-30 06:51:20,990 - lightrag - INFO - edge_degree:query:MATCH (n1:`PORTLY GENTLEMEN`)-[r]-(n2:`SCROOGE`) + RETURN count(r) AS degree:result:1 +2024-10-30 06:51:21,080 - lightrag - INFO - edge_degree:query:MATCH (n1:`SCROOGE`)-[r]-(n2:`THE SPIRIT`) + RETURN count(r) AS degree:result:1 +2024-10-30 06:51:21,171 - lightrag - INFO - edge_degree:query:MATCH (n1:`MARKET-TOWN`)-[r]-(n2:`SCROOGE`) + RETURN count(r) AS degree:result:1 +2024-10-30 06:51:21,264 - lightrag - INFO - edge_degree:query:MATCH (n1:`BOB CRATCHIT`)-[r]-(n2:`EBENEZER SCROOGE`) + RETURN count(r) AS degree:result:1 +2024-10-30 06:51:21,358 - lightrag - INFO - edge_degree:query:MATCH (n1:`CAMDEN TOWN`)-[r]-(n2:`SCROOGE`) + RETURN count(r) AS degree:result:1 +2024-10-30 06:51:21,462 - lightrag - INFO - edge_degree:query:MATCH (n1:`CHILD`)-[r]-(n2:`SCROOGE`) + RETURN count(r) AS degree:result:1 +2024-10-30 06:51:21,558 - lightrag - INFO - edge_degree:query:MATCH (n1:`BOB CRATCHIT`)-[r]-(n2:`MARTHA`) + RETURN count(r) AS degree:result:1 +2024-10-30 06:51:21,654 - lightrag - INFO - edge_degree:query:MATCH (n1:`SCROOGE`)-[r]-(n2:`THE GHOST OF CHRISTMAS YET TO COME`) + RETURN count(r) AS degree:result:1 +2024-10-30 06:51:21,746 - lightrag - INFO - edge_degree:query:MATCH (n1:`SCROOGE`)-[r]-(n2:`THE PHANTOM`) + RETURN count(r) AS degree:result:1 +2024-10-30 06:51:21,840 - lightrag - INFO - edge_degree:query:MATCH (n1:`SPIRIT`)-[r]-(n2:`WANT`) + RETURN count(r) AS degree:result:1 +2024-10-30 06:51:21,936 - lightrag - INFO - edge_degree:query:MATCH (n1:`CHRISTMAS`)-[r]-(n2:`PEOPLE`) + RETURN count(r) AS degree:result:1 +2024-10-30 06:51:22,029 - lightrag - INFO - edge_degree:query:MATCH (n1:`FRIDAY`)-[r]-(n2:`SCROOGE`) + RETURN count(r) AS degree:result:1 +2024-10-30 06:51:22,122 - lightrag - INFO - edge_degree:query:MATCH (n1:`MARLEY`)-[r]-(n2:`THE GHOST`) + RETURN count(r) AS degree:result:1 +2024-10-30 06:51:22,215 - lightrag - INFO - edge_degree:query:MATCH (n1:`BOB CRATCHIT`)-[r]-(n2:`THE COUNTING-HOUSE CLERK`) + RETURN count(r) AS degree:result:1 +2024-10-30 06:51:22,309 - lightrag - INFO - edge_degree:query:MATCH (n1:`FROST`)-[r]-(n2:`SCROOGE`) + RETURN count(r) AS degree:result:1 +2024-10-30 06:51:22,400 - lightrag - INFO - edge_degree:query:MATCH (n1:`SCROOGE`)-[r]-(n2:`THE FOUNDER OF THE FEAST`) + RETURN count(r) AS degree:result:1 +2024-10-30 06:51:22,495 - lightrag - INFO - edge_degree:query:MATCH (n1:`SCROOGE`)-[r]-(n2:`THE MEMORY`) + RETURN count(r) AS degree:result:1 +2024-10-30 06:51:22,589 - lightrag - INFO - edge_degree:query:MATCH (n1:`CHRISTMAS`)-[r]-(n2:`TURKEYS`) + RETURN count(r) AS degree:result:1 +2024-10-30 06:51:22,680 - lightrag - INFO - edge_degree:query:MATCH (n1:`SCROOGE`)-[r]-(n2:`THE MOURNING DRESS`) + RETURN count(r) AS degree:result:1 +2024-10-30 06:51:22,777 - lightrag - INFO - edge_degree:query:MATCH (n1:`BOB CRATCHIT`)-[r]-(n2:`MR. SCROOGE'S NEPHEW`) + RETURN count(r) AS degree:result:1 +2024-10-30 06:51:22,870 - lightrag - INFO - edge_degree:query:MATCH (n1:`MR. FEZZIWIG`)-[r]-(n2:`SCROOGE`) + RETURN count(r) AS degree:result:1 +2024-10-30 06:51:22,964 - lightrag - INFO - edge_degree:query:MATCH (n1:`SCROOGE`)-[r]-(n2:`SMOKING BISHOP`) + RETURN count(r) AS degree:result:1 +2024-10-30 06:51:23,060 - lightrag - INFO - edge_degree:query:MATCH (n1:`HOSPITAL`)-[r]-(n2:`SPIRIT`) + RETURN count(r) AS degree:result:1 +2024-10-30 06:51:23,154 - lightrag - INFO - edge_degree:query:MATCH (n1:`THE GHOST`)-[r]-(n2:`THE SPIRIT`) + RETURN count(r) AS degree:result:1 +2024-10-30 06:51:23,248 - lightrag - INFO - edge_degree:query:MATCH (n1:`SCROOGE`)-[r]-(n2:`THE COUNTING-HOUSE`) + RETURN count(r) AS degree:result:1 +2024-10-30 06:51:23,342 - lightrag - INFO - edge_degree:query:MATCH (n1:`DARKNESS`)-[r]-(n2:`SCROOGE`) + RETURN count(r) AS degree:result:1 +2024-10-30 06:51:23,442 - lightrag - INFO - edge_degree:query:MATCH (n1:`CHRISTMAS`)-[r]-(n2:`SCROOGE`) + RETURN count(r) AS degree:result:1 +2024-10-30 06:51:23,541 - lightrag - INFO - edge_degree:query:MATCH (n1:`DEATH`)-[r]-(n2:`THE FUTURE`) + RETURN count(r) AS degree:result:1 +2024-10-30 06:51:23,632 - lightrag - INFO - edge_degree:query:MATCH (n1:`SCROOGE`)-[r]-(n2:`THE FOG AND FROST`) + RETURN count(r) AS degree:result:1 +2024-10-30 06:51:23,725 - lightrag - INFO - edge_degree:query:MATCH (n1:`SCROOGE`)-[r]-(n2:`THE WINE-MERCHANT'S CELLAR`) + RETURN count(r) AS degree:result:1 +2024-10-30 06:51:23,815 - lightrag - INFO - edge_degree:query:MATCH (n1:`SCROOGE`)-[r]-(n2:`THE CITY`) + RETURN count(r) AS degree:result:1 +2024-10-30 06:51:23,906 - lightrag - INFO - edge_degree:query:MATCH (n1:`SCROOGE`)-[r]-(n2:`THE PRIME OF LIFE`) + RETURN count(r) AS degree:result:1 +2024-10-30 06:51:23,997 - lightrag - INFO - edge_degree:query:MATCH (n1:`SCROOGE`)-[r]-(n2:`THE PAST`) + RETURN count(r) AS degree:result:1 +2024-10-30 06:51:24,091 - lightrag - INFO - edge_degree:query:MATCH (n1:`SCROOGE`)-[r]-(n2:`THE REGISTER`) + RETURN count(r) AS degree:result:1 +2024-10-30 06:51:24,181 - lightrag - INFO - edge_degree:query:MATCH (n1:`BOB CRATCHIT`)-[r]-(n2:`MARTHA CRATCHIT`) + RETURN count(r) AS degree:result:1 +2024-10-30 06:51:24,272 - lightrag - INFO - edge_degree:query:MATCH (n1:`MARTHA`)-[r]-(n2:`THE LORD`) + RETURN count(r) AS degree:result:1 +2024-10-30 06:51:24,363 - lightrag - INFO - edge_degree:query:MATCH (n1:`SCROOGE`)-[r]-(n2:`THE PARROT`) + RETURN count(r) AS degree:result:1 +2024-10-30 06:51:24,458 - lightrag - INFO - edge_degree:query:MATCH (n1:`CRATCHIT FAMILY`)-[r]-(n2:`TINY TIM`) + RETURN count(r) AS degree:result:1 +2024-10-30 06:51:24,552 - lightrag - INFO - edge_degree:query:MATCH (n1:`MANSION`)-[r]-(n2:`THE GHOST`) + RETURN count(r) AS degree:result:1 +2024-10-30 06:51:24,646 - lightrag - INFO - edge_degree:query:MATCH (n1:`CHRISTMAS DAY`)-[r]-(n2:`CRATCHIT FAMILY`) + RETURN count(r) AS degree:result:1 +2024-10-30 06:51:24,737 - lightrag - INFO - edge_degree:query:MATCH (n1:`SCROOGE`)-[r]-(n2:`THE SCHOOLMASTER`) + RETURN count(r) AS degree:result:1 +2024-10-30 06:51:24,827 - lightrag - INFO - edge_degree:query:MATCH (n1:`THE HUSBAND`)-[r]-(n2:`THE MOTHER`) + RETURN count(r) AS degree:result:1 +2024-10-30 06:51:24,919 - lightrag - INFO - edge_degree:query:MATCH (n1:`SCROOGE`)-[r]-(n2:`WANT`) + RETURN count(r) AS degree:result:1 +2024-10-30 06:51:25,017 - lightrag - INFO - edge_degree:query:MATCH (n1:`EBENEZER SCROOGE`)-[r]-(n2:`THE CLOCK`) + RETURN count(r) AS degree:result:1 +2024-10-30 06:51:25,112 - lightrag - INFO - edge_degree:query:MATCH (n1:`SCROOGE`)-[r]-(n2:`TOPPER`) + RETURN count(r) AS degree:result:1 +2024-10-30 06:51:25,206 - lightrag - INFO - edge_degree:query:MATCH (n1:`SCROOGE`)-[r]-(n2:`THE KNOCKER`) + RETURN count(r) AS degree:result:1 +2024-10-30 06:51:25,300 - lightrag - INFO - edge_degree:query:MATCH (n1:`CHRISTMAS-TIME`)-[r]-(n2:`SCROOGE`) + RETURN count(r) AS degree:result:1 +2024-10-30 06:51:25,397 - lightrag - INFO - edge_degree:query:MATCH (n1:`BOB CRATCHIT`)-[r]-(n2:`PETER`) + RETURN count(r) AS degree:result:1 +2024-10-30 06:51:25,490 - lightrag - INFO - edge_degree:query:MATCH (n1:`MARLEY'S GHOST`)-[r]-(n2:`THE CHAIN`) + RETURN count(r) AS degree:result:1 +2024-10-30 06:51:25,584 - lightrag - INFO - edge_degree:query:MATCH (n1:`BELINDA CRATCHIT`)-[r]-(n2:`CRATCHIT FAMILY`) + RETURN count(r) AS degree:result:1 +2024-10-30 06:51:25,678 - lightrag - INFO - edge_degree:query:MATCH (n1:`RED-FACED GENTLEMAN`)-[r]-(n2:`SCROOGE`) + RETURN count(r) AS degree:result:1 +2024-10-30 06:51:25,771 - lightrag - INFO - edge_degree:query:MATCH (n1:`SCROOGE`)-[r]-(n2:`THE SITTING ROOM`) + RETURN count(r) AS degree:result:1 +2024-10-30 06:51:25,862 - lightrag - INFO - edge_degree:query:MATCH (n1:`CHRISTMAS`)-[r]-(n2:`THE LAMPLIGHTER`) + RETURN count(r) AS degree:result:1 +2024-10-30 06:51:25,965 - lightrag - INFO - edge_degree:query:MATCH (n1:`SCROOGE`)-[r]-(n2:`THE DECEASED MAN`) + RETURN count(r) AS degree:result:1 +2024-10-30 06:51:26,060 - lightrag - INFO - edge_degree:query:MATCH (n1:`SCROOGE`)-[r]-(n2:`THE CASK`) + RETURN count(r) AS degree:result:1 +2024-10-30 06:51:26,069 - lightrag - INFO - Local query uses 60 entites, 20 relations, 3 text units +2024-10-30 06:51:43,941 - lightrag - INFO - Creating a new event loop in a sub-thread. +2024-10-30 06:51:44,568 - lightrag - INFO - get_edge:query: + MATCH (start:`CHRISTMAS`)-[r]->(end:`SCROOGE`) + RETURN properties(r) as edge_properties + LIMIT 1 + :result:{'keywords': '"character development, festive spirit""conflict, holiday spirit""contrast, seasonal significance""disconnection, festive spirit""holiday significance, reflection""holiday significance, transformation""holiday spirit, social critique""nostalgia, reflection""reflection, redemption""rejection, festive spirit""renewal, change""seasonal significance, emotional reflection""transformation, disdain""transformation, festive spirit""transformation, holiday significance""transformation, holiday spirit"', 'weight': 169.0, 'description': '"Christmas becomes a focal point for Scrooge\'s promise to change and embrace life, symbolizing hope and renewal.""Christmas is a central theme that invokes Scrooge\'s memories of his past, his feelings of loneliness, and his desire to connect.""Christmas serves as a focal point for Scrooge\'s emotional reflections on joy and his disconnect from societal celebrations.""Christmas serves as the catalyst for Scrooge\'s transformation, highlighting themes of giving and compassion.""Scrooge expresses disdain for Christmas, viewing it as a burden rather than a celebration.""Scrooge\'s attitude towards Christmas highlights his disconnection from the festive spirit and charity associated with the holiday.""Scrooge\'s character contrasts sharply with the joy of Christmas, highlighting his disdain for the festive season.""Scrooge\'s experience during the Christmas event highlights the transformation of his character and the spirit of the holiday.""Scrooge\'s journey with the Spirit ultimately leads him to reflect on the meaning of Christmas and its impact on human connections.""Scrooge\'s transformation and newfound joy are directly linked to the spirit of Christmas.""Scrooge\'s transformation is centered around the spirit of Christmas, which he learns to embrace and celebrate.""Scrooge\'s views on Christmas evolve as he witnesses the joy and familial love associated with the holiday, marking a shift in his character.""Scrooge reflects on Christmas with a mix of emotions, highlighting its importance in his life and character arc.""Scrooge\'s attitude towards Christmas is one of disdain, setting the stage for his eventual transformation as he confronts the meaning of the holiday.""Scrooge\'s involvement in the Christmas activities represents a significant moment of change in his character, as he becomes more engaged and merry.""Scrooge\'s refusal to celebrate Christmas reflects his overall attitude towards generosity and societal obligations during this festive time.""Scrooge\'s rejection of Christmas embodies his overall discord with the spirit of the holiday, viewing it as a time of financial burden instead of joy.""Scrooge\'s transformation is closely linked to the celebration of Christmas, highlighting themes of giving and joy.""Scrooge\'s transformation is closely tied to the spirit of Christmas, marking a significant personal change during this event."', 'source_id': 'chunk-43c9bee23adfa77aa9dedd22401bba7dchunk-74e2466de2f67fd710ef2f20c0a8d9e0chunk-89777b838d5447c7bd1ec11282c4ee89chunk-e7637ff18c5ded77a68cce0a87883fadchunk-da2472b4ef2a535b62908f14d0fb0ca9chunk-90d5764e301321c087f5a8f78b73a145chunk-91614df5cb74cbe5e109a338a82041e9chunk-91572b3cd42786ba4cb2f180ca25cbf4chunk-8f738cb25d60a7dab782162d9d0a25edchunk-94bea83e7153fc2064aa382b494936a1chunk-54bdd22db1f84a965b5f4c06c9216d8dchunk-8590d9263cd2cd4fa583c432fc54e6c3chunk-99b0ec7f7e006561352b5d65e849611d'} +2024-10-30 06:51:44,703 - lightrag - INFO - get_edge:query: + MATCH (start:`THE CANDLE`)-[r]->(end:`THE FOG AND FROST`) + RETURN properties(r) as edge_properties + LIMIT 1 + :result:{'keywords': '"hope, contrast"', 'weight': 12.0, 'description': '"The Candle symbolizes a flicker of warmth and hope in the bleak setting of Fog and Frost, contrasting the overall atmosphere."', 'source_id': 'chunk-d9aac3484185ac66045df92214d245d5'} +2024-10-30 06:51:44,797 - lightrag - INFO - get_edge:query: + MATCH (start:`SCROOGE`)-[r]->(end:`THE GHOST`) + RETURN properties(r) as edge_properties + LIMIT 1 + :result:{'keywords': '"guidance, emotional exploration""guidance, transformation""memory, influence""rebuke, self-discovery""reflection, guidance""self-reflection, transformation""supernatural encounter, confusion""supernatural guidance, transformation""supernatural interaction, past actions"', 'weight': 78.0, 'description': '"Scrooge interacts with The Ghost of Jacob Marley, which highlights his struggle with the supernatural and his past actions.""Scrooge\'s engagement with The Ghost prompts a significant emotional and psychological transformation as he confronts his past.""The Ghost guides Scrooge through visions of his past, forcing him to confront his choices and their consequences.""The Ghost influences Scrooge\'s reflections on his past and his current emotions regarding Christmas festivities.""The Ghost serves as a catalyst for Scrooge\'s reflections, guiding him to confront his past and feelings about Christmas.""Scrooge\'s interaction with The Ghost leads to significant inner turmoil and contemplation about dreams and reality.""The Ghost influences Scrooge\'s journey by revealing his past, driving the narrative of his redemption.""The Ghost interacts with Scrooge, revealing truths that challenge his perspective on life and death.""The Ghost prompts Scrooge to remember significant moments, driving his emotional exploration of the past."', 'source_id': 'chunk-c7b10789a9cb0af6c553730b29bd9034chunk-43c9bee23adfa77aa9dedd22401bba7dchunk-da2472b4ef2a535b62908f14d0fb0ca9chunk-cb661c37436355ccec2769b1d0350c5fchunk-54bdd22db1f84a965b5f4c06c9216d8dchunk-8590d9263cd2cd4fa583c432fc54e6c3chunk-83ac129dc9b56f84c46760d153d68e93'} +2024-10-30 06:51:44,892 - lightrag - INFO - get_edge:query: + MATCH (start:`MARLEY`)-[r]->(end:`SCROOGE`) + RETURN properties(r) as edge_properties + LIMIT 1 + :result:{'keywords': '"ghostly encounter, transformation""mourning, partnership""partnership, regret""past influence, personal history""past influence, regret""redemption, confrontation""reflection, theme of regret""supernatural connection, past relationships"', 'weight': 65.0, 'description': '"Marley’s influence and past relationship with Scrooge is indicated, suggesting a connection that impacts Scrooge\'s character growth.""Scrooge is deeply affected by Marley\'s death, illustrated through his role as the sole executor and mourner of Marley.""Scrooge reflects on Marley, revealing his past connection and the haunting aspect of Marley\'s death, which influences Scrooge\'s character arc.""Scrooge\'s encounter with Marley’s Ghost serves as a confrontation with his past self and the life choices he regrets, depicting the theme of redemption.""Scrooge and Marley were business partners, and Marley\'s death greatly impacts Scrooge, highlighting themes of loss and regret.""Scrooge encounters Marley’s ghost, which challenges his beliefs and signifies the start of his transformation.""Scrooge reflects on Marley\'s death, indicating the profound effect it had on his life, shaping his current perspective on generosity and the holidays.""Scrooge\'s reflection on Marley underscores the theme of regret and the potential for change in his character\'s journey."', 'source_id': 'chunk-5dac41b3f9eeaf794f0147400b1718cdchunk-89777b838d5447c7bd1ec11282c4ee89chunk-d9aac3484185ac66045df92214d245d5chunk-9c43dac2fcd5b578242d907ea6f8fc7bchunk-843b5b2f944c7413d9ca876e2e2f151f'} +2024-10-30 06:51:44,986 - lightrag - INFO - get_edge:query: + MATCH (start:`MANSION`)-[r]->(end:`SCROOGE`) + RETURN properties(r) as edge_properties + LIMIT 1 + :result:{'keywords': '"symbolism, emotional state"', 'weight': 16.0, 'description': '"The Mansion symbolizes the neglect and decay that parallels Scrooge\'s own emotional state and memories of his past."', 'source_id': 'chunk-8590d9263cd2cd4fa583c432fc54e6c3'} +2024-10-30 06:51:45,080 - lightrag - INFO - get_edge:query: + MATCH (start:`GHOST`)-[r]->(end:`SCROOGE`) + RETURN properties(r) as edge_properties + LIMIT 1 + :result:{'keywords': '"moral lesson, reflection""reflection, self-discovery""spiritual guidance, transformation"', 'weight': 26.0, 'description': '"Scrooge interacts directly with the Ghost, who aims to teach him about the errors of his ways and the importance of caring for others.""The Ghost guides Scrooge through reflections of his past, influencing his journey toward redemption.""The Ghost takes Scrooge on a journey to teach him lessons about generosity and compassion towards others."', 'source_id': 'chunk-359187e7571bda4b0b08b2e0b6581e52chunk-c6c248858d1b13ab7ee9ca13c1aeed6bchunk-e7637ff18c5ded77a68cce0a87883fad'} +2024-10-30 06:51:45,175 - lightrag - INFO - get_edge:query: + MATCH (start:`SCROOGE`)-[r]->(end:`THE MEMORY`) + RETURN properties(r) as edge_properties + LIMIT 1 + :result:{'keywords': '"reflection, impact of past"', 'weight': 16.0, 'description': '"Scrooge\'s memories play a crucial role in shaping his perspective on love and happiness as he confronts his past."', 'source_id': 'chunk-54bdd22db1f84a965b5f4c06c9216d8d'} +2024-10-30 06:51:45,271 - lightrag - INFO - get_edge:query: + MATCH (start:`SCROOGE`)-[r]->(end:`THE GHOST OF CHRISTMAS PAST`) + RETURN properties(r) as edge_properties + LIMIT 1 + :result:{'keywords': '"introspection, memory""reflection, guidance""self-reflection, guidance"', 'weight': 28.0, 'description': '"Scrooge\'s interaction with the Ghost of Christmas Past highlights his journey of self-reflection and struggle with his past decisions.""The Ghost of Christmas Past guides Scrooge through recollections, prompting his introspection about his former self and choices.""The Ghost of Christmas Past helps Scrooge reflect on his past choices, which is crucial for his transformation."', 'source_id': 'chunk-b2f98bc7abb0c67d4c86055c7fd72218chunk-90b95db5c53e4364a6bee36b7aa4d70f'} +2024-10-30 06:51:45,365 - lightrag - INFO - get_edge:query: + MATCH (start:`JACOB MARLEY`)-[r]->(end:`SCROOGE`) + RETURN properties(r) as edge_properties + LIMIT 1 + :result:{'keywords': '"catalyst for change, supernatural guidance""past influence, warning""redemption, influence""redemption, moral lesson""redemption, spiritual influence""self-reflection, legacy""supernatural encounter, past ties""transformation, influence""warning, catalyst""warning, consequence""warning, transformation"', 'weight': 98.0, 'description': '"Jacob Marley influences Scrooge\'s transformation by appearing as a spirit to warn him.""Jacob Marley is the spirit who brings forth the need for Scrooge to change his ways, impacting his character development.""Scrooge confronts Jacob Marley, his former business partner, who returns as a ghost to influence Scrooge\'s perspective on life and his actions.""Scrooge converses with the ghost of Jacob Marley, who tries to guide him toward understanding the importance of compassion and the consequences of his actions.""Scrooge interacts with Jacob Marley, who serves as a critical warning for Scrooge to change his ways before it\'s too late.""Scrooge reflects on Jacob Marley’s past warnings, which serve as a catalyst for his transformation.""Scrooge\'s transformation is prompted by the appearance and message of Jacob Marley, his former business partner.""Jacob Marley warns Scrooge about his fate and the importance of change, acting as a catalyst for Scrooge\'s transformation.""Scrooge acknowledges Jacob Marley, recognizing his former business partner\'s lost opportunities and the implications for his own life.""Scrooge is visited by Jacob Marley, who warns him about his fate and the necessity for personal change to avoid a bleak future.""Scrooge\'s transformation is influenced by Jacob Marley\'s ghost, who represents the consequences of a life poorly lived."', 'source_id': 'chunk-90b95db5c53e4364a6bee36b7aa4d70fchunk-359187e7571bda4b0b08b2e0b6581e52chunk-da2472b4ef2a535b62908f14d0fb0ca9chunk-02baee20cc9463dbe08170a8e1043e32chunk-1aa50206d02ed89418f65f97c6441d1cchunk-91572b3cd42786ba4cb2f180ca25cbf4chunk-cb661c37436355ccec2769b1d0350c5f'} +2024-10-30 06:51:45,461 - lightrag - INFO - get_edge:query: + MATCH (start:`THE CRATCHIT HOUSEHOLD`)-[r]->(end:`THE SUBURBS`) + RETURN properties(r) as edge_properties + LIMIT 1 + :result:{'keywords': '"social commentary, inequality"', 'weight': 12.0, 'description': '"The Suburbs illustrate the challenges faced by families like The Cratchit Household, emphasizing social inequality."', 'source_id': 'chunk-b0f459f5af1c3a5e0b92cbe4ee48b77b'} +2024-10-30 06:51:45,556 - lightrag - INFO - get_edge:query: + MATCH (start:`CHRISTMAS`)-[r]->(end:`THE SPIRIT`) + RETURN properties(r) as edge_properties + LIMIT 1 + :result:{'keywords': '"holiday spirit, compassion""seasonal influence, moral reflection"', 'weight': 34.0, 'description': '"The Spirit connects various scenes to the theme of Christmas, emphasizing its impact on individuals’ attitudes and behaviors.""The Spirit connects various scenes to the theme of Christmas, emphasizing its impact on individuals’ attitudes and behaviors.""The Spirit\'s appearances highlight the themes of Christmas and the importance of compassion and community.""The Spirit\'s appearances highlight the themes of Christmas and the importance of compassion and community."', 'source_id': 'chunk-91614df5cb74cbe5e109a338a82041e9chunk-da2472b4ef2a535b62908f14d0fb0ca9'} +2024-10-30 06:51:45,655 - lightrag - INFO - get_edge:query: + MATCH (start:`JOE`)-[r]->(end:`THE WOMAN`) + RETURN properties(r) as edge_properties + LIMIT 1 + :result:{'keywords': '"conversational dynamics, materialism""dialogue, humor, death""humor, interaction""social interaction, community dynamics"', 'weight': 23.0, 'description': '"Joe and The Woman are engaged in a discussion about the deceased man’s belongings, illustrating their shared perspective on material possessions.""Joe and The Woman engage in a conversation, highlighting community dynamics and common social interactions among friends or acquaintances.""Joe and The Woman engage in dialogue about the deceased\'s belongings, showcasing their interactions and differing attitudes towards death.""Joe and The Woman share a humorous exchange about the bed-curtains, reflecting the jovial spirit of the gathering."', 'source_id': 'chunk-e1f29eeadc1d8ab46dc8a0bbd3c56b64chunk-89777b838d5447c7bd1ec11282c4ee89'} +2024-10-30 06:51:45,750 - lightrag - INFO - get_edge:query: + MATCH (start:`SCROOGE`)-[r]->(end:`SCROOGE'S NIECE`) + RETURN properties(r) as edge_properties + LIMIT 1 + :result:{'keywords': '"family bonds, celebration""family conflict, holiday spirit""family dynamics, transformation""ideological conflict, family dynamics"', 'weight': 30.0, 'description': '"Scrooge observes his niece enjoying the Christmas festivities, which influences his own mood and perspective towards the holiday spirit.""Scrooge\'s Niece expresses indignation towards Scrooge\'s belief that Christmas is a humbug, demonstrating her strong opinions against his views.""Scrooge\'s niece embraces the joyful atmosphere of the celebration, engaging with family and inviting good-natured fun.""Scrooge\'s Niece shows indignation toward Scrooge\'s negativity about Christmas, highlighting the familial tensions between them."', 'source_id': 'chunk-773d0df1dd25c356f7b771d780583e09chunk-43c9bee23adfa77aa9dedd22401bba7d'} +2024-10-30 06:51:45,842 - lightrag - INFO - get_edge:query: + MATCH (start:`SCROOGE`)-[r]->(end:`THE CITY`) + RETURN properties(r) as edge_properties + LIMIT 1 + :result:{'keywords': '"disconnection, personal evolution""reflection, urban life""transformation, community""urban setting, contrast"', 'weight': 26.0, 'description': '"Scrooge\'s reflections in the City highlight his relationship with his past and the contrast of his current life.""Scrooge\'s relationship with The City is marked by detachment, representing his lost connection to his past self and experiences.""Scrooge\'s transformation impacts The City as he learns to embrace Christmas spirit and generosity within his community.""The City serves as a backdrop for Scrooge\'s memories, contrasting the vibrant life he once had with his current isolation."', 'source_id': 'chunk-c6c248858d1b13ab7ee9ca13c1aeed6bchunk-94bea83e7153fc2064aa382b494936a1chunk-bb21d58d36c6306fd8810ddd51c4a971'} +2024-10-30 06:51:45,937 - lightrag - INFO - get_edge:query: + MATCH (start:`GHOST`)-[r]->(end:`SPECTRE`) + RETURN properties(r) as edge_properties + LIMIT 1 + :result:{'keywords': '"identity, motivation"', 'weight': 20.0, 'description': '"The Spectre is synonymous with the Ghost, representing the collective spirit urging Scrooge to change his ways."', 'source_id': 'chunk-359187e7571bda4b0b08b2e0b6581e52'} +2024-10-30 06:51:46,033 - lightrag - INFO - get_edge:query: + MATCH (start:`SCROOGE`)-[r]->(end:`SPIRIT`) + RETURN properties(r) as edge_properties + LIMIT 1 + :result:{'keywords': '"guidance, emotional journey""guidance, personal growth""guidance, reflection""guidance, transformation""personal growth, spiritual journey""reflection, guidance""transformation, mentorship"', 'weight': 74.0, 'description': '"Scrooge engages with the Spirit, who guides him through reflections on his life and warns him of societal issues.""Scrooge learns from the Spirit about the consequences of his actions and the sentiments evoked by death, leading to personal growth.""Scrooge’s interaction with the Spirit emphasizes the emotional weight of his past decisions and feelings as they relate to his transformation.""The Spirit directly influences Scrooge’s transformation and highlights the importance of compassion in human life.""Scrooge interacts with the Spirit, who has come to teach him about the meaning of Christmas and share lessons of generosity.""Scrooge is guided by the Spirit to reflect on the impact of death, learning important lessons about life and legacy.""Scrooge is guided by the Spirit, who prompts him to reflect on his life and its consequences.""Scrooge\'s interactions with the Spirit serve to illuminate his past and its influence on his current self.""The Spirit serves as a guide for Scrooge, showing him visions that lead to his personal transformation and moral awakening."', 'source_id': 'chunk-e7637ff18c5ded77a68cce0a87883fadchunk-02baee20cc9463dbe08170a8e1043e32chunk-83ac129dc9b56f84c46760d153d68e93chunk-843b5b2f944c7413d9ca876e2e2f151fchunk-bb21d58d36c6306fd8810ddd51c4a971'} +2024-10-30 06:51:46,128 - lightrag - INFO - get_edge:query: + MATCH (start:`MARLEY'S FUNERAL`)-[r]->(end:`SCROOGE`) + RETURN properties(r) as edge_properties + LIMIT 1 + :result:{'keywords': '"loss, character journey"', 'weight': 18.0, 'description': '"Marley\'s Funeral signifies the beginning of Scrooge\'s emotional journey, showcasing his reaction to loss and setting the stage for the narrative."', 'source_id': 'chunk-89777b838d5447c7bd1ec11282c4ee89'} +2024-10-30 06:51:46,218 - lightrag - INFO - get_edge:query: + MATCH (start:`IGNORANCE`)-[r]->(end:`SPIRIT`) + RETURN properties(r) as edge_properties + LIMIT 1 + :result:{'keywords': '"social issues, awareness""social warning, awareness"', 'weight': 30.0, 'description': '"The Spirit introduces Ignorance to Scrooge as a representation of societal failures, urging him to acknowledge and address these issues.""The Spirit introduces Ignorance to Scrooge as a representation of societal failures, urging him to acknowledge and address these issues.""The Spirit points out Ignorance, highlighting the need for awareness and responsibility toward societal issues.""The Spirit points out Ignorance, highlighting the need for awareness and responsibility toward societal issues."', 'source_id': 'chunk-02baee20cc9463dbe08170a8e1043e32chunk-e7637ff18c5ded77a68cce0a87883fad'} +2024-10-30 06:51:46,313 - lightrag - INFO - get_edge:query: + MATCH (start:`SCROOGE`)-[r]->(end:`THE SPIRIT`) + RETURN properties(r) as edge_properties + LIMIT 1 + :result:{'keywords': '"guidance, self-reflection""guidance, transformation""introspection, guidance""moral guidance, change""moral guidance, transformation""self-reflection, transformation""supernatural guidance, self-reflection""supernatural intervention, guidance"', 'weight': 93.0, 'description': '"Scrooge engages with the Spirit as it reveals memories that prompt significant self-reflection and consideration of change.""Scrooge is guided by the Spirit, who shows him different scenes related to the joy and struggles of Christmas, aiming to change his heart.""The Spirit challenges Scrooge\'s perspective on life, urging him to consider the implications of his actions in light of death.""The Spirit represents an upcoming change in Scrooge\'s life, aiming to guide him towards redemption.""The Spirit represents moral lessons and urges Scrooge to change his ways for a better future.""Scrooge\'s interaction with The Spirit serves as a pivotal moment for him to reflect on his past decisions and seek wisdom.""The Spirit guides Scrooge through his memories, facilitating his emotional journey and transformation.""The Spirit interacts with Scrooge, guiding him to confront his past and future, emphasizing change and moral growth.""The Spirit is guiding Scrooge through different scenes, aiming to transform his character and perspective on life.""The Spirit serves as the medium for Scrooge\'s journey of self-discovery and accountability."', 'source_id': 'chunk-da2472b4ef2a535b62908f14d0fb0ca9chunk-e1f29eeadc1d8ab46dc8a0bbd3c56b64chunk-91614df5cb74cbe5e109a338a82041e9chunk-91572b3cd42786ba4cb2f180ca25cbf4chunk-f1a4fbcf1ed86864b9bfd5e8dba4c683chunk-8590d9263cd2cd4fa583c432fc54e6c3chunk-b2f98bc7abb0c67d4c86055c7fd72218'} +2024-10-30 06:51:46,412 - lightrag - INFO - get_edge:query: + MATCH (start:`CLOCK`)-[r]->(end:`SCROOGE`) + RETURN properties(r) as edge_properties + LIMIT 1 + :result:{'keywords': '"time symbolism, anxiety"', 'weight': 14.0, 'description': '"Scrooge\'s observations of the Clock reflect his anxiety over time and the supernatural events unfolding around him."', 'source_id': 'chunk-c7b10789a9cb0af6c553730b29bd9034'} +2024-10-30 06:51:46,507 - lightrag - INFO - get_edge:query: + MATCH (start:`SCROOGE`)-[r]->(end:`THE GRATE`) + RETURN properties(r) as edge_properties + LIMIT 1 + :result:{'keywords': '"coldness, minimalism""isolation, setting mood"', 'weight': 12.0, 'description': '"Scrooge\'s small fire in The Grate represents his need for warmth and symbolizes his cold heart initially showing longing for comfort.""The Grate\'s cold fire adds to the bleak setting of Scrooge\'s home, illustrating his disconnection from warmth and comfort before the supernatural events unfold."', 'source_id': 'chunk-9c43dac2fcd5b578242d907ea6f8fc7b'} +2024-10-30 06:51:46,600 - lightrag - INFO - get_edge:query: + MATCH (start:`JOE`)-[r]->(end:`SCROOGE`) + RETURN properties(r) as edge_properties + LIMIT 1 + :result:{'keywords': '"perspective contrast, moral dilemma"', 'weight': 12.0, 'description': '"Joe\'s cynical attitude towards death and belongings contrasts with Scrooge\'s moral horror, creating a tension between their perspectives."', 'source_id': 'chunk-e1f29eeadc1d8ab46dc8a0bbd3c56b64'} +2024-10-30 06:51:46,698 - lightrag - INFO - get_edge:query: + MATCH (start:`SCROOGE`)-[r]->(end:`THE COUNTING-HOUSE`) + RETURN properties(r) as edge_properties + LIMIT 1 + :result:{'keywords': '"work environment, character development""work environment, emotional landscape""work environment, personality reflection"', 'weight': 20.0, 'description': '"Scrooge\'s work environment reflects his personality, being cold and uninviting, mirroring his discontent with life.""The Counting-House is where Scrooge works, illustrating the environment that shapes his bleak personality.""The Counting-House represents Scrooge\'s work environment, which is devoid of warmth, paralleling Scrooge\'s cold demeanor."', 'source_id': 'chunk-d9aac3484185ac66045df92214d245d5chunk-74e2466de2f67fd710ef2f20c0a8d9e0'} +2024-10-30 06:51:46,795 - lightrag - INFO - get_edge:query: + MATCH (start:`SCROOGE`)-[r]->(end:`THE HOUSE`) + RETURN properties(r) as edge_properties + LIMIT 1 + :result:{'keywords': '"haunting, setting influence""setting, atmosphere"', 'weight': 15.0, 'description': '"Scrooge\'s experiences and encounters with Marley occur within The House, which plays a significant role in the haunting atmosphere.""Scrooge\'s experiences with Marley\'s Ghost occur within The House, which plays a crucial role in the haunting atmosphere."', 'source_id': 'chunk-9c43dac2fcd5b578242d907ea6f8fc7b'} +2024-10-30 06:51:46,892 - lightrag - INFO - get_edge:query: + MATCH (start:`SPIRIT`)-[r]->(end:`WANT`) + RETURN properties(r) as edge_properties + LIMIT 1 + :result:{'keywords': '"social issues, need for compassion""social warning, deprivation"', 'weight': 30.0, 'description': '"The Spirit points out Want, symbolizing the dire consequences of neglecting societal needs.""The Spirit points out Want, symbolizing the dire consequences of neglecting societal needs.""The Spirit presents Want along with Ignorance, symbolizing the plight of the less fortunate and appealing for compassion.""The Spirit presents Want along with Ignorance, symbolizing the plight of the less fortunate and appealing for compassion."', 'source_id': 'chunk-02baee20cc9463dbe08170a8e1043e32chunk-e7637ff18c5ded77a68cce0a87883fad'} +2024-10-30 06:51:46,987 - lightrag - INFO - get_edge:query: + MATCH (start:`SCROOGE`)-[r]->(end:`TIM`) + RETURN properties(r) as edge_properties + LIMIT 1 + :result:{'keywords': '"familial connection, emotional depth"', 'weight': 16.0, 'description': '"Scrooge\'s connection to Tim emphasizes emotional depth, reflecting on family and lost connections as part of his character development."', 'source_id': 'chunk-89777b838d5447c7bd1ec11282c4ee89'} +2024-10-30 06:51:47,082 - lightrag - INFO - get_edge:query: + MATCH (start:`FOG`)-[r]->(end:`SCROOGE`) + RETURN properties(r) as edge_properties + LIMIT 1 + :result:{'keywords': '"atmosphere, emotional reflection""obscurity, isolation"', 'weight': 16.0, 'description': '"Fog represents the obscured vision of Scrooge\'s soul and emotions, aligning with his unknowable nature.""The fog obscures vision and symbolizes Scrooge’s cloudy outlook on life, illustrating his isolation from societal warmth."', 'source_id': 'chunk-d9aac3484185ac66045df92214d245d5chunk-74e2466de2f67fd710ef2f20c0a8d9e0'} +2024-10-30 06:51:47,175 - lightrag - INFO - get_edge:query: + MATCH (start:`SCROOGE`)-[r]->(end:`THE CORPSE`) + RETURN properties(r) as edge_properties + LIMIT 1 + :result:{'keywords': '"introspection, life choices"', 'weight': 18.0, 'description': '"Scrooge’s horror upon seeing The Corpse prompts deep reflection on his own life choices and morality."', 'source_id': 'chunk-e1f29eeadc1d8ab46dc8a0bbd3c56b64'} +2024-10-30 06:51:47,267 - lightrag - INFO - get_edge:query: + MATCH (start:`SCROOGE`)-[r]->(end:`TINY TIM`) + RETURN properties(r) as edge_properties + LIMIT 1 + :result:{'keywords': '"generosity, familial love""innocence, hope""personal transformation, empathy""reflection, transformation""transformation, holiday spirit""transformation, mentorship""transformation, redemption"', 'weight': 67.0, 'description': '"Scrooge becomes a father figure to Tiny Tim, showing a deep commitment to his well-being after realizing the importance of family and caring for others.""Scrooge reflects on Tiny Tim and expresses concern for his wellbeing, indicating a pivotal change in his character and attitudes towards the less fortunate.""Scrooge\'s transformation is influenced by his reflections on the impact of Tiny Tim\'s life and death.""Scrooge becomes emotionally affected by Tiny Tim\'s situation, leading him to reflect on his past words and actions regarding the welfare of others.""Scrooge expresses a newfound joy during Christmas, indicating a change in attitude towards the spirit symbolized by Tiny Tim.""Scrooge reflects on Tiny Tim\'s essence and the impact of his potential death, considering how it could prompt him to change his ways.""Scrooge\'s intention to send a large turkey to Bob Cratchit\'s family, particularly to Tiny Tim, shows his emotional connection and desire to help.""Tiny Tim is affected by the family\'s feelings towards Scrooge, and he embodies the hope for joy despite Scrooge\'s unkind nature."', 'source_id': 'chunk-90b95db5c53e4364a6bee36b7aa4d70fchunk-19d72c57ae3408758b18d2568e86dc6bchunk-503f0bfa5453467c7c61d160a3540ecachunk-91572b3cd42786ba4cb2f180ca25cbf4chunk-8f738cb25d60a7dab782162d9d0a25edchunk-94bea83e7153fc2064aa382b494936a1'} +2024-10-30 06:51:47,378 - lightrag - INFO - get_edge:query: + MATCH (start:`CHILD`)-[r]->(end:`SCROOGE`) + RETURN properties(r) as edge_properties + LIMIT 1 + :result:{'keywords': '"self-reflection, past connection"', 'weight': 16.0, 'description': '"Scrooge sees his younger self in the solitary child, sparking deep emotional reflections about his past and choices."', 'source_id': 'chunk-8590d9263cd2cd4fa583c432fc54e6c3'} +2024-10-30 06:51:47,474 - lightrag - INFO - get_edge:query: + MATCH (start:`GHOST OF CHRISTMAS PAST`)-[r]->(end:`SCROOGE`) + RETURN properties(r) as edge_properties + LIMIT 1 + :result:{'keywords': '"reflection, guidance""reflection, past influence""reflection, transformation"', 'weight': 25.0, 'description': '"Scrooge engages with the Ghost of Christmas Past to explore and reflect on his life and choices.""Scrooge engages with the Ghost of Christmas Past to explore his earlier life, seeking insight into his current state.""The Ghost of Christmas Past shows Scrooge experiences from his life that prompt his transformation."', 'source_id': 'chunk-9e3921da66da5d761ab73cd849af6c43chunk-bb21d58d36c6306fd8810ddd51c4a971'} +2024-10-30 06:51:47,565 - lightrag - INFO - get_edge:query: + MATCH (start:`CHRISTMAS EVE`)-[r]->(end:`SCROOGE`) + RETURN properties(r) as edge_properties + LIMIT 1 + :result:{'keywords': '"holiday spirit, character development"', 'weight': 16.0, 'description': '"Scrooge\'s actions and attitudes towards Christmas Eve highlight his disdain for traditional celebrations, setting the tone for his character arc."', 'source_id': 'chunk-d9aac3484185ac66045df92214d245d5'} +2024-10-30 06:51:47,659 - lightrag - INFO - get_edge:query: + MATCH (start:`MARLEY'S GHOST`)-[r]->(end:`SCROOGE`) + RETURN properties(r) as edge_properties + LIMIT 1 + :result:{'keywords': '"confrontation, supernatural experience""reflection, consequence""supernatural confrontation, regret""supernatural encounter, existential crisis""warning, fate"', 'weight': 43.0, 'description': '"Marley\'s Ghost warns Scrooge about the consequences of his actions and the visits of the three spirits, setting the stage for his transformation.""Scrooge is haunted by Marley\'s Ghost, which confronts him as a part of a supernatural occurrence meant to incite fear and reflection on his life choices.""Scrooge is confronted by Marley\'s Ghost, representing the struggle between his disbelief and the ghost\'s insistence on showing the consequences of Scrooge\'s life choices.""Scrooge is directly confronted by Marley\'s Ghost, leading to confusion and existential questioning on his part.""Scrooge reacts to Marley\'s Ghost, reflecting on his past as he is warned about the consequences of his actions."', 'source_id': 'chunk-c7b10789a9cb0af6c553730b29bd9034chunk-9c43dac2fcd5b578242d907ea6f8fc7bchunk-cb661c37436355ccec2769b1d0350c5fchunk-1aa50206d02ed89418f65f97c6441d1c'} +2024-10-30 06:51:47,753 - lightrag - INFO - get_edge:query: + MATCH (start:`CHRISTMAS HOLIDAYS`)-[r]->(end:`SCROOGE`) + RETURN properties(r) as edge_properties + LIMIT 1 + :result:{'keywords': '"transformation, significance of time"', 'weight': 16.0, 'description': '"Christmas Holidays are integral to Scrooge\'s journey, representing the time of year that prompts his change and reinstates joy."', 'source_id': 'chunk-e7637ff18c5ded77a68cce0a87883fad'} +2024-10-30 06:51:47,845 - lightrag - INFO - get_edge:query: + MATCH (start:`JACOB`)-[r]->(end:`SCROOGE`) + RETURN properties(r) as edge_properties + LIMIT 1 + :result:{'keywords': '"past reflections, moral lesson""reflection, past relationship"', 'weight': 16.0, 'description': '"Scrooge reflects on his past relationship with Jacob, influenced by feelings of guilt and loss after Jacob\'s death.""Scrooge reflects on his relationship with Jacob, understanding the past implications of his death for his own future."', 'source_id': 'chunk-f1a4fbcf1ed86864b9bfd5e8dba4c683'} +2024-10-30 06:51:47,941 - lightrag - INFO - get_edge:query: + MATCH (start:`ALI BABA`)-[r]->(end:`ROBIN CRUSOE`) + RETURN properties(r) as edge_properties + LIMIT 1 + :result:{'keywords': '"literary connection, childhood memories"', 'weight': 14.0, 'description': '"Both Ali Baba and Robin Crusoe represent figures from stories that shaped Scrooge\'s childhood memories and sentiments towards Christmas."', 'source_id': 'chunk-8590d9263cd2cd4fa583c432fc54e6c3'} +2024-10-30 06:51:48,037 - lightrag - INFO - get_edge:query: + MATCH (start:`CITY`)-[r]->(end:`SPIRIT`) + RETURN properties(r) as edge_properties + LIMIT 1 + :result:{'keywords': '"atmospheric change, reality"', 'weight': 12.0, 'description': '"The Spirit’s presence affects the atmosphere of the City, showcasing the stark realities of life and death surrounding Scrooge."', 'source_id': 'chunk-02baee20cc9463dbe08170a8e1043e32'} +2024-10-30 06:51:48,131 - lightrag - INFO - get_edge:query: + MATCH (start:`CAROLINE`)-[r]->(end:`HOPE`) + RETURN properties(r) as edge_properties + LIMIT 1 + :result:{'keywords': '"emotional resilience, motivation"', 'weight': 16.0, 'description': '"Hope influences Caroline\'s reactions and actions throughout the story, serving as both a motivator and a source of inner conflict."', 'source_id': 'chunk-83ac129dc9b56f84c46760d153d68e93'} +2024-10-30 06:51:48,223 - lightrag - INFO - get_edge:query: + MATCH (start:`CHILD`)-[r]->(end:`THE SPIRIT`) + RETURN properties(r) as edge_properties + LIMIT 1 + :result:{'keywords': '"remembrance, neglect"', 'weight': 16.0, 'description': '"The Spirit points Scrooge to the Child, emphasizing themes of neglect, remembrance, and the importance of past experiences."', 'source_id': 'chunk-8590d9263cd2cd4fa583c432fc54e6c3'} +2024-10-30 06:51:48,325 - lightrag - INFO - get_edge:query: + MATCH (start:`GRAVE`)-[r]->(end:`SCROOGE`) + RETURN properties(r) as edge_properties + LIMIT 1 + :result:{'keywords': '"mortality, reflection"', 'weight': 20.0, 'description': '"Scrooge is confronted with his own grave, symbolizing the ultimate outcome of his current lifestyle and actions."', 'source_id': 'chunk-91572b3cd42786ba4cb2f180ca25cbf4'} +2024-10-30 06:51:48,422 - lightrag - INFO - get_edge:query: + MATCH (start:`CHURCH`)-[r]->(end:`SCROOGE`) + RETURN properties(r) as edge_properties + LIMIT 1 + :result:{'keywords': '"community, contrast"', 'weight': 16.0, 'description': '"The church symbolizes the community and settings of Scrooge\'s past, highlighting the contrast between then and now."', 'source_id': 'chunk-bb21d58d36c6306fd8810ddd51c4a971'} +2024-10-30 06:51:48,514 - lightrag - INFO - get_edge:query: + MATCH (start:`SCROOGE`)-[r]->(end:`THE DECEASED MAN`) + RETURN properties(r) as edge_properties + LIMIT 1 + :result:{'keywords': '"moral reflection, consequence"', 'weight': 18.0, 'description': '"Scrooge reflects on the life and death of The Deceased Man, prompting introspection about his own life choices."', 'source_id': 'chunk-e1f29eeadc1d8ab46dc8a0bbd3c56b64'} +2024-10-30 06:51:48,608 - lightrag - INFO - get_edge:query: + MATCH (start:`MARTHA CRATCHIT`)-[r]->(end:`THE COUNTESS`) + RETURN properties(r) as edge_properties + LIMIT 1 + :result:{'keywords': '"social aspirations, class contrast"', 'weight': 10.0, 'description': '"Martha’s mention of having seen the Countess represents her connection to higher social circles and dreams beyond her current situation."', 'source_id': 'chunk-19d72c57ae3408758b18d2568e86dc6b'} +2024-10-30 06:51:48,702 - lightrag - INFO - get_edge:query: + MATCH (start:`BOB CRATCHIT`)-[r]->(end:`TINY TIM`) + RETURN properties(r) as edge_properties + LIMIT 1 + :result:{'keywords': '"family bond, care""family bond, father-son relationship""family bond, love""family love, vulnerability""family, care""family, caregiving""family, love struggles""family, struggle""family, support""father-son bond, care""father-son relationship, care""parental love, sorrow""parenting, hope"', 'weight': 119.0, 'description': '"Bob Cratchit deeply cares for Tiny Tim, demonstrating emotional support and love, especially in moments of distress.""Bob Cratchit expresses love and concern for his son Tiny Tim during the Christmas dinner, highlighting a strong familial bond.""Bob Cratchit is Tiny Tim\'s father, and the turkey Scrooge plans to send will impact Tiny Tim\'s well-being.""Bob Cratchit is Tiny Tim\'s father, and their relationship highlights the theme of family struggle and love, especially during Christmas.""Bob Cratchit shows deep care for Tiny Tim, helping him and expressing pride in his strength and character despite challenges.""Bob Cratchit\'s concern for Tiny Tim illustrates the deep familial love and the challenges facing the Cratchit family.""Bob Cratchit is a father figure to Tiny Tim, who carries both hope and concern for his child\'s future health and well-being.""Bob Cratchit is the father of Tiny Tim, showcasing familial love and challenges faced by the Cratchit family.""Bob Cratchit is the father of Tiny Tim, showing the importance of family dynamics and care in their lives.""Bob Cratchit shows affection for Tiny Tim, often expressing concern for his health and trying to keep him close during the Christmas celebration.""Bob Cratchit shows deep care for Tiny Tim, supporting him and expressing pride in his resilience, especially regarding Tiny Tim\'s reflective thoughts on Christmas.""Bob Cratchit shows deep concern and love for his son, Tiny Tim, highlighting the family dynamics and attachment in their household.""Bob Cratchit shows deep love and sorrow for Tiny Tim, reflecting a father\'s bond with his child.""Bob is the father of Tiny Tim, who requires support and care, emphasizing themes of family and responsibility."', 'source_id': 'chunk-90b95db5c53e4364a6bee36b7aa4d70fchunk-503f0bfa5453467c7c61d160a3540ecachunk-91572b3cd42786ba4cb2f180ca25cbf4chunk-9e3921da66da5d761ab73cd849af6c43chunk-94bea83e7153fc2064aa382b494936a1chunk-83ac129dc9b56f84c46760d153d68e93chunk-7e2e7ebcc19a53b399dc03aded4743e7chunk-1d4b58de5429cd1261370c231c8673e8'} +2024-10-30 06:51:48,799 - lightrag - INFO - get_edge:query: + MATCH (start:`SCROOGE`)-[r]->(end:`THE WINDOW`) + RETURN properties(r) as edge_properties + LIMIT 1 + :result:{'keywords': '"curiosity, fear"', 'weight': 10.0, 'description': '"Scrooge approaches The Window, which acts as a portal to the outside world and the supernatural, illustrating his curiosity and fear."', 'source_id': 'chunk-cb661c37436355ccec2769b1d0350c5f'} +2024-10-30 06:51:48,892 - lightrag - INFO - get_edge:query: + MATCH (start:`SCROOGE`)-[r]->(end:`THE GHOST OF CHRISTMAS YET TO COME`) + RETURN properties(r) as edge_properties + LIMIT 1 + :result:{'keywords': '"consequence, introspection""consequences, change""consequences, fear""guidance, self-confrontation"', 'weight': 39.0, 'description': '"The Ghost guides Scrooge to confront his potential future that threatens his existence.""The Ghost is critical in revealing the consequences of Scrooge\'s life choices, pushing for change.""The Ghost of Christmas Yet to Come presents Scrooge with a vision of his possible future, instilling fear and prompting change.""The Ghost of Christmas Yet to Come shows Scrooge the consequences of his life choices, prompting introspection and desire for change."', 'source_id': 'chunk-91572b3cd42786ba4cb2f180ca25cbf4chunk-90b95db5c53e4364a6bee36b7aa4d70f'} +2024-10-30 06:51:48,988 - lightrag - INFO - get_edge:query: + MATCH (start:`MANSION`)-[r]->(end:`THE GHOST`) + RETURN properties(r) as edge_properties + LIMIT 1 + :result:{'keywords': '"guidance, contrast"', 'weight': 18.0, 'description': '"The Ghost guides Scrooge through the Mansion, illustrating the contrast between past warmth and present decay."', 'source_id': 'chunk-8590d9263cd2cd4fa583c432fc54e6c3'} +2024-10-30 06:51:49,080 - lightrag - INFO - get_edge:query: + MATCH (start:`SCROOGE`)-[r]->(end:`THE FOG AND FROST`) + RETURN properties(r) as edge_properties + LIMIT 1 + :result:{'keywords': '"atmosphere, emotional coldness"', 'weight': 14.0, 'description': '"The Fog and Frost enveloping Scrooge\'s home reflect the chilling atmosphere of his life and his emotional coldness."', 'source_id': 'chunk-d9aac3484185ac66045df92214d245d5'} +2024-10-30 06:51:49,175 - lightrag - INFO - get_edge:query: + MATCH (start:`FEZZIWIG`)-[r]->(end:`SCROOGE`) + RETURN properties(r) as edge_properties + LIMIT 1 + :result:{'keywords': '"contrast, character foil""kindness, mentorship""mentor figure, positive influence""nostalgia, contrast""reflection, influence"', 'weight': 43.0, 'description': '"Fezziwig is a significant figure in Scrooge\'s past, illustrating a contrast between Scrooge\'s current miserly demeanor and Fezziwig\'s jovial nature.""Fezziwig represents the joyful side of business and celebration, contrasting with Scrooge\'s miserly nature and serving as a foil to Scrooge\'s character development.""Scrooge reflects positively on Fezziwig\'s past actions, acknowledging the happiness and gratitude he inspired in people.""Scrooge reminisces about Fezziwig\'s kindness during his apprenticeship, comparing his past self to his current state.""Scrooge reminisces about Fezziwig\'s ball, reflecting on the contrast between his past happiness and present isolation."', 'source_id': 'chunk-b2f98bc7abb0c67d4c86055c7fd72218chunk-c6c248858d1b13ab7ee9ca13c1aeed6bchunk-89777b838d5447c7bd1ec11282c4ee89'} +2024-10-30 06:51:49,275 - lightrag - INFO - get_edge:query: + MATCH (start:`CHRISTMAS EVES`)-[r]->(end:`SCROOGE`) + RETURN properties(r) as edge_properties + LIMIT 1 + :result:{'keywords': '"time of reflection, redemption"', 'weight': 14.0, 'description': '"Christmas Eves symbolize a critical time for self-reflection and understanding one\'s past decisions, linking to Scrooge\'s journey of redemption."', 'source_id': 'chunk-359187e7571bda4b0b08b2e0b6581e52'} +2024-10-30 06:51:49,369 - lightrag - INFO - get_edge:query: + MATCH (start:`THE CRATCHIT HOUSE`)-[r]->(end:`THE DEBT`) + RETURN properties(r) as edge_properties + LIMIT 1 + :result:{'keywords': '"financial burden, atmosphere"', 'weight': 18.0, 'description': '"The Debt looms over The Cratchit House, contributing to the emotional atmosphere and fears of its inhabitants during the story."', 'source_id': 'chunk-83ac129dc9b56f84c46760d153d68e93'} +2024-10-30 06:51:49,464 - lightrag - INFO - get_edge:query: + MATCH (start:`SPIRIT`)-[r]->(end:`THE EVENT OF DEATH`) + RETURN properties(r) as edge_properties + LIMIT 1 + :result:{'keywords': '"emotional impact, mortality"', 'weight': 16.0, 'description': '"The Spirit highlights the emotional repercussions of The Event of Death, demonstrating the profound effects on those left behind."', 'source_id': 'chunk-83ac129dc9b56f84c46760d153d68e93'} +2024-10-30 06:51:49,558 - lightrag - INFO - get_edge:query: + MATCH (start:`THE LIGHTHOUSE`)-[r]->(end:`THE WAVE`) + RETURN properties(r) as edge_properties + LIMIT 1 + :result:{'keywords': '"struggle, isolation"', 'weight': 14.0, 'description': '"The Wave\'s constant battering of the Lighthouse highlights the isolation and challenges faced by those in such remote environments."', 'source_id': 'chunk-91614df5cb74cbe5e109a338a82041e9'} +2024-10-30 06:51:49,656 - lightrag - INFO - get_edge:query: + MATCH (start:`SCROOGE`)-[r]->(end:`THE DARKNESS`) + RETURN properties(r) as edge_properties + LIMIT 1 + :result:{'keywords': '"internal struggle, unknown"', 'weight': 12.0, 'description': '"Scrooge finds himself enveloped by The Darkness, representing his internal struggle and the unknown future he faces."', 'source_id': 'chunk-cb661c37436355ccec2769b1d0350c5f'} +2024-10-30 06:51:49,749 - lightrag - INFO - get_edge:query: + MATCH (start:`SCROOGE`)-[r]->(end:`THE BEAUTIFUL YOUNG GIRL`) + RETURN properties(r) as edge_properties + LIMIT 1 + :result:{'keywords': '"nostalgia, lost love"', 'weight': 16.0, 'description': '"Scrooge reflects on his past relationship with the young girl, which holds significance in understanding his character\'s regrets."', 'source_id': 'chunk-54bdd22db1f84a965b5f4c06c9216d8d'} +2024-10-30 06:51:49,843 - lightrag - INFO - get_edge:query: + MATCH (start:`BOB CRATCHIT`)-[r]->(end:`THE COUNTING-HOUSE CLERK`) + RETURN properties(r) as edge_properties + LIMIT 1 + :result:{'keywords': '"workforce dynamics, character contrast"', 'weight': 12.0, 'description': '"Bob Cratchit and The Counting-House Clerk represent the working class under Scrooge\'s employment, showcasing different character traits in the context of their work."', 'source_id': 'chunk-d9aac3484185ac66045df92214d245d5'} +2024-10-30 06:51:49,938 - lightrag - INFO - get_edge:query: + MATCH (start:`MARKET-TOWN`)-[r]->(end:`SCROOGE`) + RETURN properties(r) as edge_properties + LIMIT 1 + :result:{'keywords': '"memory, childhood""nostalgia, memory"', 'weight': 15.0, 'description': '"Scrooge encounters the market-town in his memories, triggering feelings of recognition and emotional reflection.""Scrooge recognizes the Market-Town, eliciting fond memories from his childhood and emphasizing his emotional response to the past."', 'source_id': 'chunk-bb21d58d36c6306fd8810ddd51c4a971'} +2024-10-30 06:51:50,034 - lightrag - INFO - get_edge:query: + MATCH (start:`SCROOGE`)-[r]->(end:`THE PHANTOM`) + RETURN properties(r) as edge_properties + LIMIT 1 + :result:{'keywords': '"guidance, reflection""guidance, self-reflection"', 'weight': 17.0, 'description': '"Scrooge interacts with the Phantom, which guides him through reflections on his life and future, emphasizing his journey of change.""The Phantom interacts with Scrooge, pointing him towards the importance of reflections on mortality and social connections."', 'source_id': 'chunk-f1a4fbcf1ed86864b9bfd5e8dba4c683'} +2024-10-30 06:51:50,128 - lightrag - INFO - get_edge:query: + MATCH (start:`COLD WEATHER`)-[r]->(end:`SCROOGE`) + RETURN properties(r) as edge_properties + LIMIT 1 + :result:{'keywords': '"atmosphere, personality mirror"', 'weight': 18.0, 'description': '"The cold weather reflects Scrooge\'s icy demeanor, emphasizing his negative attitude towards life and others."', 'source_id': 'chunk-74e2466de2f67fd710ef2f20c0a8d9e0'} +2024-10-30 06:51:50,219 - lightrag - INFO - get_edge:query: + MATCH (start:`FELLOW-BEINGS`)-[r]->(end:`SCROOGE`) + RETURN properties(r) as edge_properties + LIMIT 1 + :result:{'keywords': '"neglect, realization"', 'weight': 16.0, 'description': '"Scrooge is confronted with his past choices to ignore Fellow-beings, leading to a realization of his moral failures."', 'source_id': 'chunk-359187e7571bda4b0b08b2e0b6581e52'} +2024-10-30 06:51:50,317 - lightrag - INFO - edge_degree:query:MATCH (n1:`CHRISTMAS`)-[r]-(n2:`SCROOGE`) + RETURN count(r) AS degree:result:1 +2024-10-30 06:51:50,409 - lightrag - INFO - edge_degree:query:MATCH (n1:`THE CANDLE`)-[r]-(n2:`THE FOG AND FROST`) + RETURN count(r) AS degree:result:1 +2024-10-30 06:51:50,499 - lightrag - INFO - edge_degree:query:MATCH (n1:`SCROOGE`)-[r]-(n2:`THE GHOST`) + RETURN count(r) AS degree:result:1 +2024-10-30 06:51:50,593 - lightrag - INFO - edge_degree:query:MATCH (n1:`MARLEY`)-[r]-(n2:`SCROOGE`) + RETURN count(r) AS degree:result:1 +2024-10-30 06:51:50,686 - lightrag - INFO - edge_degree:query:MATCH (n1:`MANSION`)-[r]-(n2:`SCROOGE`) + RETURN count(r) AS degree:result:1 +2024-10-30 06:51:50,780 - lightrag - INFO - edge_degree:query:MATCH (n1:`GHOST`)-[r]-(n2:`SCROOGE`) + RETURN count(r) AS degree:result:1 +2024-10-30 06:51:50,873 - lightrag - INFO - edge_degree:query:MATCH (n1:`SCROOGE`)-[r]-(n2:`THE MEMORY`) + RETURN count(r) AS degree:result:1 +2024-10-30 06:51:50,968 - lightrag - INFO - edge_degree:query:MATCH (n1:`SCROOGE`)-[r]-(n2:`THE GHOST OF CHRISTMAS PAST`) + RETURN count(r) AS degree:result:1 +2024-10-30 06:51:51,062 - lightrag - INFO - edge_degree:query:MATCH (n1:`JACOB MARLEY`)-[r]-(n2:`SCROOGE`) + RETURN count(r) AS degree:result:1 +2024-10-30 06:51:51,156 - lightrag - INFO - edge_degree:query:MATCH (n1:`THE CRATCHIT HOUSEHOLD`)-[r]-(n2:`THE SUBURBS`) + RETURN count(r) AS degree:result:1 +2024-10-30 06:51:51,247 - lightrag - INFO - edge_degree:query:MATCH (n1:`CHRISTMAS`)-[r]-(n2:`THE SPIRIT`) + RETURN count(r) AS degree:result:1 +2024-10-30 06:51:51,335 - lightrag - INFO - edge_degree:query:MATCH (n1:`JOE`)-[r]-(n2:`THE WOMAN`) + RETURN count(r) AS degree:result:1 +2024-10-30 06:51:51,428 - lightrag - INFO - edge_degree:query:MATCH (n1:`SCROOGE`)-[r]-(n2:`SCROOGE'S NIECE`) + RETURN count(r) AS degree:result:1 +2024-10-30 06:51:51,523 - lightrag - INFO - edge_degree:query:MATCH (n1:`SCROOGE`)-[r]-(n2:`THE CITY`) + RETURN count(r) AS degree:result:1 +2024-10-30 06:51:51,617 - lightrag - INFO - edge_degree:query:MATCH (n1:`GHOST`)-[r]-(n2:`SPECTRE`) + RETURN count(r) AS degree:result:1 +2024-10-30 06:51:51,710 - lightrag - INFO - edge_degree:query:MATCH (n1:`SCROOGE`)-[r]-(n2:`SPIRIT`) + RETURN count(r) AS degree:result:1 +2024-10-30 06:51:51,808 - lightrag - INFO - edge_degree:query:MATCH (n1:`MARLEY'S FUNERAL`)-[r]-(n2:`SCROOGE`) + RETURN count(r) AS degree:result:1 +2024-10-30 06:51:51,902 - lightrag - INFO - edge_degree:query:MATCH (n1:`IGNORANCE`)-[r]-(n2:`SPIRIT`) + RETURN count(r) AS degree:result:1 +2024-10-30 06:51:51,998 - lightrag - INFO - edge_degree:query:MATCH (n1:`SCROOGE`)-[r]-(n2:`THE SPIRIT`) + RETURN count(r) AS degree:result:1 +2024-10-30 06:51:52,092 - lightrag - INFO - edge_degree:query:MATCH (n1:`CLOCK`)-[r]-(n2:`SCROOGE`) + RETURN count(r) AS degree:result:1 +2024-10-30 06:51:52,184 - lightrag - INFO - edge_degree:query:MATCH (n1:`SCROOGE`)-[r]-(n2:`THE GRATE`) + RETURN count(r) AS degree:result:1 +2024-10-30 06:51:52,278 - lightrag - INFO - edge_degree:query:MATCH (n1:`JOE`)-[r]-(n2:`SCROOGE`) + RETURN count(r) AS degree:result:1 +2024-10-30 06:51:52,368 - lightrag - INFO - edge_degree:query:MATCH (n1:`SCROOGE`)-[r]-(n2:`THE COUNTING-HOUSE`) + RETURN count(r) AS degree:result:1 +2024-10-30 06:51:52,462 - lightrag - INFO - edge_degree:query:MATCH (n1:`SCROOGE`)-[r]-(n2:`THE HOUSE`) + RETURN count(r) AS degree:result:1 +2024-10-30 06:51:52,553 - lightrag - INFO - edge_degree:query:MATCH (n1:`SPIRIT`)-[r]-(n2:`WANT`) + RETURN count(r) AS degree:result:1 +2024-10-30 06:51:52,643 - lightrag - INFO - edge_degree:query:MATCH (n1:`SCROOGE`)-[r]-(n2:`TIM`) + RETURN count(r) AS degree:result:1 +2024-10-30 06:51:52,736 - lightrag - INFO - edge_degree:query:MATCH (n1:`FOG`)-[r]-(n2:`SCROOGE`) + RETURN count(r) AS degree:result:1 +2024-10-30 06:51:52,828 - lightrag - INFO - edge_degree:query:MATCH (n1:`SCROOGE`)-[r]-(n2:`THE CORPSE`) + RETURN count(r) AS degree:result:1 +2024-10-30 06:51:52,923 - lightrag - INFO - edge_degree:query:MATCH (n1:`SCROOGE`)-[r]-(n2:`TINY TIM`) + RETURN count(r) AS degree:result:1 +2024-10-30 06:51:53,014 - lightrag - INFO - edge_degree:query:MATCH (n1:`CHILD`)-[r]-(n2:`SCROOGE`) + RETURN count(r) AS degree:result:1 +2024-10-30 06:51:53,104 - lightrag - INFO - edge_degree:query:MATCH (n1:`GHOST OF CHRISTMAS PAST`)-[r]-(n2:`SCROOGE`) + RETURN count(r) AS degree:result:1 +2024-10-30 06:51:53,198 - lightrag - INFO - edge_degree:query:MATCH (n1:`CHRISTMAS EVE`)-[r]-(n2:`SCROOGE`) + RETURN count(r) AS degree:result:1 +2024-10-30 06:51:53,289 - lightrag - INFO - edge_degree:query:MATCH (n1:`MARLEY'S GHOST`)-[r]-(n2:`SCROOGE`) + RETURN count(r) AS degree:result:1 +2024-10-30 06:51:53,379 - lightrag - INFO - edge_degree:query:MATCH (n1:`CHRISTMAS HOLIDAYS`)-[r]-(n2:`SCROOGE`) + RETURN count(r) AS degree:result:1 +2024-10-30 06:51:53,473 - lightrag - INFO - edge_degree:query:MATCH (n1:`JACOB`)-[r]-(n2:`SCROOGE`) + RETURN count(r) AS degree:result:1 +2024-10-30 06:51:53,565 - lightrag - INFO - edge_degree:query:MATCH (n1:`ALI BABA`)-[r]-(n2:`ROBIN CRUSOE`) + RETURN count(r) AS degree:result:1 +2024-10-30 06:51:53,657 - lightrag - INFO - edge_degree:query:MATCH (n1:`CITY`)-[r]-(n2:`SPIRIT`) + RETURN count(r) AS degree:result:1 +2024-10-30 06:51:53,750 - lightrag - INFO - edge_degree:query:MATCH (n1:`CAROLINE`)-[r]-(n2:`HOPE`) + RETURN count(r) AS degree:result:1 +2024-10-30 06:51:53,840 - lightrag - INFO - edge_degree:query:MATCH (n1:`CHILD`)-[r]-(n2:`THE SPIRIT`) + RETURN count(r) AS degree:result:1 +2024-10-30 06:51:53,937 - lightrag - INFO - edge_degree:query:MATCH (n1:`GRAVE`)-[r]-(n2:`SCROOGE`) + RETURN count(r) AS degree:result:1 +2024-10-30 06:51:54,028 - lightrag - INFO - edge_degree:query:MATCH (n1:`CHURCH`)-[r]-(n2:`SCROOGE`) + RETURN count(r) AS degree:result:1 +2024-10-30 06:51:54,119 - lightrag - INFO - edge_degree:query:MATCH (n1:`SCROOGE`)-[r]-(n2:`THE DECEASED MAN`) + RETURN count(r) AS degree:result:1 +2024-10-30 06:51:54,212 - lightrag - INFO - edge_degree:query:MATCH (n1:`MARTHA CRATCHIT`)-[r]-(n2:`THE COUNTESS`) + RETURN count(r) AS degree:result:1 +2024-10-30 06:51:54,307 - lightrag - INFO - edge_degree:query:MATCH (n1:`BOB CRATCHIT`)-[r]-(n2:`TINY TIM`) + RETURN count(r) AS degree:result:1 +2024-10-30 06:51:54,400 - lightrag - INFO - edge_degree:query:MATCH (n1:`SCROOGE`)-[r]-(n2:`THE WINDOW`) + RETURN count(r) AS degree:result:1 +2024-10-30 06:51:54,494 - lightrag - INFO - edge_degree:query:MATCH (n1:`SCROOGE`)-[r]-(n2:`THE GHOST OF CHRISTMAS YET TO COME`) + RETURN count(r) AS degree:result:1 +2024-10-30 06:51:54,588 - lightrag - INFO - edge_degree:query:MATCH (n1:`MANSION`)-[r]-(n2:`THE GHOST`) + RETURN count(r) AS degree:result:1 +2024-10-30 06:51:54,684 - lightrag - INFO - edge_degree:query:MATCH (n1:`SCROOGE`)-[r]-(n2:`THE FOG AND FROST`) + RETURN count(r) AS degree:result:1 +2024-10-30 06:51:54,778 - lightrag - INFO - edge_degree:query:MATCH (n1:`FEZZIWIG`)-[r]-(n2:`SCROOGE`) + RETURN count(r) AS degree:result:1 +2024-10-30 06:51:54,872 - lightrag - INFO - edge_degree:query:MATCH (n1:`CHRISTMAS EVES`)-[r]-(n2:`SCROOGE`) + RETURN count(r) AS degree:result:1 +2024-10-30 06:51:54,967 - lightrag - INFO - edge_degree:query:MATCH (n1:`THE CRATCHIT HOUSE`)-[r]-(n2:`THE DEBT`) + RETURN count(r) AS degree:result:1 +2024-10-30 06:51:55,060 - lightrag - INFO - edge_degree:query:MATCH (n1:`SPIRIT`)-[r]-(n2:`THE EVENT OF DEATH`) + RETURN count(r) AS degree:result:1 +2024-10-30 06:51:55,153 - lightrag - INFO - edge_degree:query:MATCH (n1:`THE LIGHTHOUSE`)-[r]-(n2:`THE WAVE`) + RETURN count(r) AS degree:result:1 +2024-10-30 06:51:55,255 - lightrag - INFO - edge_degree:query:MATCH (n1:`SCROOGE`)-[r]-(n2:`THE DARKNESS`) + RETURN count(r) AS degree:result:1 +2024-10-30 06:51:55,348 - lightrag - INFO - edge_degree:query:MATCH (n1:`SCROOGE`)-[r]-(n2:`THE BEAUTIFUL YOUNG GIRL`) + RETURN count(r) AS degree:result:1 +2024-10-30 06:51:55,445 - lightrag - INFO - edge_degree:query:MATCH (n1:`BOB CRATCHIT`)-[r]-(n2:`THE COUNTING-HOUSE CLERK`) + RETURN count(r) AS degree:result:1 +2024-10-30 06:51:55,544 - lightrag - INFO - edge_degree:query:MATCH (n1:`MARKET-TOWN`)-[r]-(n2:`SCROOGE`) + RETURN count(r) AS degree:result:1 +2024-10-30 06:51:55,638 - lightrag - INFO - edge_degree:query:MATCH (n1:`SCROOGE`)-[r]-(n2:`THE PHANTOM`) + RETURN count(r) AS degree:result:1 +2024-10-30 06:51:55,735 - lightrag - INFO - edge_degree:query:MATCH (n1:`COLD WEATHER`)-[r]-(n2:`SCROOGE`) + RETURN count(r) AS degree:result:1 +2024-10-30 06:51:55,830 - lightrag - INFO - edge_degree:query:MATCH (n1:`FELLOW-BEINGS`)-[r]-(n2:`SCROOGE`) + RETURN count(r) AS degree:result:1 +2024-10-30 06:51:55,928 - lightrag - INFO - get_node:query:MATCH (n:`FOG`) RETURN n:result:"Fog is a weather phenomenon that adds to the bleak atmosphere, reflecting the obscurity and confusion in Scrooge\'s life.""Fog represents the obscured visibility and confusion in Scrooge\'s surroundings, enhancing the atmosphere of uncertainty and apprehension.""Fog represents the obscurity and isolation in the environment, mirroring Scrooge’s emotional distance and isolation from society.""Fog represents the obscured visibility and confusion in Scrooge\'s surroundings, enhancing the atmosphere of uncertainty and apprehension.""Fog represents the obscurity and isolation in the environment, mirroring Scrooge’s emotional distance and isolation from society.""Fog represents the obscured visibility and confusion in Scrooge\'s surroundings, enhancing the atmosphere of uncertainty and apprehension.""Fog represents the obscurity and isolation in the environment, mirroring Scrooge’s emotional distance and isolation from society.""Fog represents the obscured visibility and confusion in Scrooge\'s surroundings, enhancing the atmosphere of uncertainty and apprehension.""Fog represents the obscurity and isolation in the environment, mirroring Scrooge’s emotional distance and isolation from society.""Fog represents the obscured visibility and confusion in Scrooge\'s surroundings, enhancing the atmosphere of uncertainty and apprehension.""Fog represents the obscurity and isolation in the environment, mirroring Scrooge’s emotional distance and isolation from society."', 'source_id': 'chunk-c7b10789a9cb0af6c553730b29bd9034chunk-d9aac3484185ac66045df92214d245d5chunk-74e2466de2f67fd710ef2f20c0a8d9e0'}> +2024-10-30 06:51:56,017 - lightrag - INFO - get_node:query:MATCH (n:`THE GHOST OF CHRISTMAS YET TO COME`) RETURN n:result:"The Ghost of Christmas Yet to Come is a spirit that shows Scrooge the consequences of his actions, pointing toward his eventual demise.""The Ghost of Christmas Yet to Come reveals the potential consequences of Scrooge\'s current life choices, emphasizing themes of mortality and legacy.""The Ghost of Christmas Yet to Come is a spirit that shows Scrooge the consequences of his actions, pointing toward his eventual demise.""The Ghost of Christmas Yet to Come reveals the potential consequences of Scrooge\'s current life choices, emphasizing themes of mortality and legacy.""The Ghost of Christmas Yet to Come is a spirit that shows Scrooge the consequences of his actions, pointing toward his eventual demise.""The Ghost of Christmas Yet to Come reveals the potential consequences of Scrooge\'s current life choices, emphasizing themes of mortality and legacy.""The Ghost of Christmas Yet to Come is a spirit that shows Scrooge the consequences of his actions, pointing toward his eventual demise.""The Ghost of Christmas Yet to Come reveals the potential consequences of Scrooge\'s current life choices, emphasizing themes of mortality and legacy.""The Ghost of Christmas Yet to Come is a spirit that shows Scrooge the consequences of his actions, pointing toward his eventual demise.""The Ghost of Christmas Yet to Come reveals the potential consequences of Scrooge\'s current life choices, emphasizing themes of mortality and legacy."', 'source_id': 'chunk-91572b3cd42786ba4cb2f180ca25cbf4chunk-90b95db5c53e4364a6bee36b7aa4d70f'}> +2024-10-30 06:51:56,102 - lightrag - INFO - get_node:query:MATCH (n:`WANT`) RETURN n:result:"Want is represented as the second child shown by the Spirit, symbolizing the dire social conditions and needs of the impoverished.""Want represents another societal failing, portrayed as a girl, symbolizing deprivation and yearning for basic needs.""Want is represented as the second child shown by the Spirit, symbolizing the dire social conditions and needs of the impoverished.""Want represents another societal failing, portrayed as a girl, symbolizing deprivation and yearning for basic needs.""Want is represented as the second child shown by the Spirit, symbolizing the dire social conditions and needs of the impoverished.""Want represents another societal failing, portrayed as a girl, symbolizing deprivation and yearning for basic needs.""Want is represented as the second child shown by the Spirit, symbolizing the dire social conditions and needs of the impoverished.""Want represents another societal failing, portrayed as a girl, symbolizing deprivation and yearning for basic needs.""Want is represented as the second child shown by the Spirit, symbolizing the dire social conditions and needs of the impoverished.""Want represents another societal failing, portrayed as a girl, symbolizing deprivation and yearning for basic needs."', 'source_id': 'chunk-02baee20cc9463dbe08170a8e1043e32chunk-e7637ff18c5ded77a68cce0a87883fad'}> +2024-10-30 06:51:56,189 - lightrag - INFO - get_node:query:MATCH (n:`CHILD`) RETURN n:result: +2024-10-30 06:51:56,274 - lightrag - INFO - get_node:query:MATCH (n:`THE PHANTOM`) RETURN n:result:"The Phantom represents a ghostly presence guiding Scrooge through reflections on his life and future decisions.""The Phantom represents a ghostly presence guiding Scrooge through reflections on his life and future decisions.""The Phantom represents a ghostly presence guiding Scrooge through reflections on his life and future decisions.""The Phantom represents a ghostly presence guiding Scrooge through reflections on his life and future decisions.""The Phantom represents the supernatural element in Scrooge\'s journey of self-reflection and moral awakening."', 'source_id': 'chunk-f1a4fbcf1ed86864b9bfd5e8dba4c683'}> +2024-10-30 06:51:56,358 - lightrag - INFO - get_node:query:MATCH (n:`BOB CRATCHIT`) RETURN n:result:chunk-90b95db5c53e4364a6bee36b7aa4d70fchunk-d9aac3484185ac66045df92214d245d5chunk-19d72c57ae3408758b18d2568e86dc6bchunk-503f0bfa5453467c7c61d160a3540ecachunk-91572b3cd42786ba4cb2f180ca25cbf4chunk-9e3921da66da5d761ab73cd849af6c43chunk-94bea83e7153fc2064aa382b494936a1chunk-83ac129dc9b56f84c46760d153d68e93chunk-7e2e7ebcc19a53b399dc03aded4743e7chunk-1d4b58de5429cd1261370c231c8673e8'}> +2024-10-30 06:51:56,444 - lightrag - INFO - get_node:query:MATCH (n:`SCROOGE`) RETURN n:result:chunk-b0f459f5af1c3a5e0b92cbe4ee48b77bchunk-e7637ff18c5ded77a68cce0a87883fadchunk-359187e7571bda4b0b08b2e0b6581e52chunk-e1f29eeadc1d8ab46dc8a0bbd3c56b64chunk-c6c248858d1b13ab7ee9ca13c1aeed6bchunk-cb661c37436355ccec2769b1d0350c5fchunk-f1a4fbcf1ed86864b9bfd5e8dba4c683chunk-99b0ec7f7e006561352b5d65e849611dchunk-843b5b2f944c7413d9ca876e2e2f151fchunk-90b95db5c53e4364a6bee36b7aa4d70fchunk-19d72c57ae3408758b18d2568e86dc6bchunk-02baee20cc9463dbe08170a8e1043e32chunk-503f0bfa5453467c7c61d160a3540ecachunk-91572b3cd42786ba4cb2f180ca25cbf4chunk-83ac129dc9b56f84c46760d153d68e93chunk-8f738cb25d60a7dab782162d9d0a25edchunk-94bea83e7153fc2064aa382b494936a1chunk-9c43dac2fcd5b578242d907ea6f8fc7bchunk-74e2466de2f67fd710ef2f20c0a8d9e0chunk-89777b838d5447c7bd1ec11282c4ee89chunk-d9aac3484185ac66045df92214d245d5chunk-90d5764e301321c087f5a8f78b73a145chunk-91614df5cb74cbe5e109a338a82041e9chunk-54bdd22db1f84a965b5f4c06c9216d8dchunk-773d0df1dd25c356f7b771d780583e09chunk-5dac41b3f9eeaf794f0147400b1718cdchunk-43c9bee23adfa77aa9dedd22401bba7dchunk-da2472b4ef2a535b62908f14d0fb0ca9chunk-1aa50206d02ed89418f65f97c6441d1cchunk-8590d9263cd2cd4fa583c432fc54e6c3chunk-b2f98bc7abb0c67d4c86055c7fd72218chunk-bb21d58d36c6306fd8810ddd51c4a971'}> +2024-10-30 06:51:56,529 - lightrag - INFO - get_node:query:MATCH (n:`THE GHOST OF CHRISTMAS PAST`) RETURN n:result:"The Ghost of Christmas Past is a supernatural entity that allows Scrooge to revisit and reflect on his previous life experiences.""The Ghost of Christmas Past is a supernatural entity that allows Scrooge to revisit and reflect on his previous life experiences.""The Ghost of Christmas Past is a supernatural entity that allows Scrooge to revisit and reflect on his previous life experiences.""The Ghost of Christmas Past is a supernatural entity that allows Scrooge to revisit and reflect on his previous life experiences.""The Ghost of Christmas Past is a supernatural entity that shows Scrooge moments from his past, eliciting reflection and emotion.""The Ghost of Christmas Past represents Scrooge\'s history and helps him confront his former self and decisions made in life.""The Ghost of Christmas Past represents Scrooge\'s history and helps him confront his former self and decisions made in life.""The Ghost of Christmas Past represents Scrooge\'s history and helps him confront his former self and decisions made in life.""The Ghost of Christmas Past represents Scrooge\'s history and helps him confront his former self and decisions made in life.""The Ghost of Christmas Past represents Scrooge\'s history and helps him confront his former self and decisions made in life."', 'source_id': 'chunk-b2f98bc7abb0c67d4c86055c7fd72218chunk-90b95db5c53e4364a6bee36b7aa4d70f'}> +2024-10-30 06:51:56,615 - lightrag - INFO - get_node:query:MATCH (n:`THE MEMORY`) RETURN n:result: +2024-10-30 06:51:56,702 - lightrag - INFO - get_node:query:MATCH (n:`COLD WEATHER`) RETURN n:result:"Cold Weather sets the bleak and unforgiving atmosphere, reflecting Scrooge’s own personality and state of mind.""Cold Weather sets the bleak and unforgiving atmosphere, reflecting Scrooge’s own personality and state of mind.""Cold Weather sets the bleak and unforgiving atmosphere, reflecting Scrooge’s own personality and state of mind.""Cold Weather sets the bleak and unforgiving atmosphere, reflecting Scrooge’s own personality and state of mind.""Cold Weather sets the bleak and unforgiving atmosphere, reflecting Scrooge’s own personality and state of mind."', 'source_id': 'chunk-f1a4fbcf1ed86864b9bfd5e8dba4c683chunk-74e2466de2f67fd710ef2f20c0a8d9e0'}> +2024-10-30 06:51:56,788 - lightrag - INFO - get_node:query:MATCH (n:`THE GHOST`) RETURN n:result:chunk-43c9bee23adfa77aa9dedd22401bba7dchunk-e7637ff18c5ded77a68cce0a87883fadchunk-359187e7571bda4b0b08b2e0b6581e52chunk-da2472b4ef2a535b62908f14d0fb0ca9chunk-c6c248858d1b13ab7ee9ca13c1aeed6bchunk-02baee20cc9463dbe08170a8e1043e32chunk-1aa50206d02ed89418f65f97c6441d1cchunk-cb661c37436355ccec2769b1d0350c5fchunk-54bdd22db1f84a965b5f4c06c9216d8dchunk-8590d9263cd2cd4fa583c432fc54e6c3chunk-83ac129dc9b56f84c46760d153d68e93chunk-9c43dac2fcd5b578242d907ea6f8fc7b'}> +2024-10-30 06:51:56,874 - lightrag - INFO - get_node:query:MATCH (n:`CHRISTMAS HOLIDAYS`) RETURN n:result:"Christmas Holidays signify a time for celebration, reflection, and reconciliation, playing a critical role in Scrooge\'s transformation.""Christmas Holidays signify a time for celebration, reflection, and reconciliation, playing a critical role in Scrooge\'s transformation.""Christmas Holidays signify a time for celebration, reflection, and reconciliation, playing a critical role in Scrooge\'s transformation.""Christmas Holidays signify a time for celebration, reflection, and reconciliation, playing a critical role in Scrooge\'s transformation.""The Christmas Holidays serve as a crucial backdrop for the narrative, representing themes of generosity, family, and redemption."', 'source_id': 'chunk-e7637ff18c5ded77a68cce0a87883fad'}> +2024-10-30 06:51:56,961 - lightrag - INFO - get_node:query:MATCH (n:`CHRISTMAS EVE`) RETURN n:result:"Christmas Eve is a significant time in the story, marked by celebrations and gatherings led by Fezziwig.""Christmas Eve is a significant time in the story, marked by celebrations and gatherings led by Fezziwig.""Christmas Eve is a significant time in the story, marked by celebrations and gatherings led by Fezziwig.""Christmas Eve is a significant time in the story, marked by celebrations and gatherings led by Fezziwig.""Christmas Eve is depicted as a significant time, bringing about joyful activities like sliding down snow hills, contrasting with Scrooge\'s dour demeanor.""Christmas Eve is the night before Christmas, serving as the backdrop for the lively celebrations and dances hosted by Fezziwig.""Christmas Eve is the specific time setting in the story, highlighting the contrast between the joy of the holiday and Scrooge\'s negativity.""Christmas Eve is the day prior to Christmas, a time that carries festive significance and anticipation in the narrative.""Christmas Eve is the day prior to Christmas, a time that carries festive significance and anticipation in the narrative.""Christmas Eve is the day prior to Christmas, a time that carries festive significance and anticipation in the narrative.""Christmas Eve is the day prior to Christmas, a time that carries festive significance and anticipation in the narrative.""Christmas Eve is the day prior to Christmas, a time that carries festive significance and anticipation in the narrative."', 'source_id': 'chunk-d9aac3484185ac66045df92214d245d5chunk-8bc1edd983869352d14cf0886a9175a7chunk-74e2466de2f67fd710ef2f20c0a8d9e0'}> +2024-10-30 06:51:57,048 - lightrag - INFO - get_node:query:MATCH (n:`THE CORPSE`) RETURN n:result: +2024-10-30 06:51:57,133 - lightrag - INFO - get_node:query:MATCH (n:`GHOST`) RETURN n:result:"The Ghost refers to the spirit guiding Scrooge, embodying the themes of memory and reflection on the joys of Christmas.""The Ghost represents a spiritual guide that takes Scrooge on a journey to learn important lessons about compassion and humanity.""The Ghost serves as a supernatural guide for Scrooge, prompting him to reflect on his life and choices.""The Ghost is the spirit of Jacob Marley, who expresses remorse for his life and warns Scrooge about the consequences of ignoring his moral duties.""The Ghost is the spirit of Jacob Marley, who expresses remorse for his life and warns Scrooge about the consequences of ignoring his moral duties.""The Ghost is the spirit of Jacob Marley, who expresses remorse for his life and warns Scrooge about the consequences of ignoring his moral duties.""The Ghost is the spirit of Jacob Marley, who expresses remorse for his life and warns Scrooge about the consequences of ignoring his moral duties.""The Ghost is the spirit of Jacob Marley, who expresses remorse for his life and warns Scrooge about the consequences of ignoring his moral duties."', 'source_id': 'chunk-43c9bee23adfa77aa9dedd22401bba7dchunk-e7637ff18c5ded77a68cce0a87883fadchunk-359187e7571bda4b0b08b2e0b6581e52chunk-c6c248858d1b13ab7ee9ca13c1aeed6bchunk-503f0bfa5453467c7c61d160a3540eca'}> +2024-10-30 06:51:57,220 - lightrag - INFO - get_node:query:MATCH (n:`JOE`) RETURN n:result:"Joe is a marine-store dealer depicted as receiving stolen goods, illustrating the consequences of crime and the darker sides of society.""Joe is portrayed as a character engaged in a conversation about the deceased, displaying a mix of humor and practicality in dealing with the possessions of the dead.""Joe is a character who interacts with others, demonstrating a sense of curiosity and disbelief regarding certain situations and comments.""Joe is a marine-store dealer and receiver of stolen goods, indicative of the darker, more unscrupulous elements of society.""Joe is an old character who engages in conversation about the deceased man\'s belongings, revealing his pragmatic and somewhat cynical perspective on life and death.""Joe is a character who interacts with others, demonstrating a sense of curiosity and disbelief regarding certain situations and comments.""Joe is a marine-store dealer and receiver of stolen goods, indicative of the darker, more unscrupulous elements of society.""Joe is an old character who engages in conversation about the deceased man\'s belongings, revealing his pragmatic and somewhat cynical perspective on life and death.""Joe is a character who interacts with others, demonstrating a sense of curiosity and disbelief regarding certain situations and comments.""Joe is a marine-store dealer and receiver of stolen goods, indicative of the darker, more unscrupulous elements of society.""Joe is an old character who engages in conversation about the deceased man\'s belongings, revealing his pragmatic and somewhat cynical perspective on life and death.""Joe is a character who interacts with others, demonstrating a sense of curiosity and disbelief regarding certain situations and comments.""Joe is a marine-store dealer and receiver of stolen goods, indicative of the darker, more unscrupulous elements of society.""Joe is an old character who engages in conversation about the deceased man\'s belongings, revealing his pragmatic and somewhat cynical perspective on life and death.""Joe is a character who interacts with others, demonstrating a sense of curiosity and disbelief regarding certain situations and comments.""Joe is a marine-store dealer and receiver of stolen goods, indicative of the darker, more unscrupulous elements of society.""Joe is an old character who engages in conversation about the deceased man\'s belongings, revealing his pragmatic and somewhat cynical perspective on life and death."', 'source_id': 'chunk-e1f29eeadc1d8ab46dc8a0bbd3c56b64chunk-9e3921da66da5d761ab73cd849af6c43chunk-89777b838d5447c7bd1ec11282c4ee89'}> +2024-10-30 06:51:57,307 - lightrag - INFO - get_node:query:MATCH (n:`MANSION`) RETURN n:result: +2024-10-30 06:51:57,392 - lightrag - INFO - get_node:query:MATCH (n:`THE COUNTING-HOUSE`) RETURN n:result:"The Counting-House is where Scrooge works and is characterized by its cold and unwelcoming environment.""The Counting-House is the place where Scrooge works, reflecting a business environment lacking warmth or joy.""The Counting-House is the place where Scrooge works, reflecting a business environment lacking warmth or joy.""The Counting-House is the place where Scrooge works, reflecting a business environment lacking warmth or joy.""The Counting-House is the place where Scrooge works, reflecting a business environment lacking warmth or joy.""The Counting-House is the place where Scrooge works, reflecting a business environment lacking warmth or joy."', 'source_id': 'chunk-d9aac3484185ac66045df92214d245d5chunk-74e2466de2f67fd710ef2f20c0a8d9e0'}> +2024-10-30 06:51:57,481 - lightrag - INFO - get_node:query:MATCH (n:`THE CITY`) RETURN n:result:"The City represents the bustling urban environment where Scrooge reflects on his past, filled with activity and shadowy figures.""The City, from which Scrooge is transported, represents his past life and is contrasted with the open country road that signifies his memories.""The City refers to the broader urban environment in which Scrooge operates and signifies the societal norms and attitudes towards Christmas.""The City represents the bustling urban environment where Scrooge\'s memories unfold, highlighting the contrast between his past and present.""The City refers to the broader urban environment in which Scrooge operates and signifies the societal norms and attitudes towards Christmas.""The City represents the bustling urban environment where Scrooge\'s memories unfold, highlighting the contrast between his past and present.""The City refers to the broader urban environment in which Scrooge operates and signifies the societal norms and attitudes towards Christmas.""The City represents the bustling urban environment where Scrooge\'s memories unfold, highlighting the contrast between his past and present.""The City refers to the broader urban environment in which Scrooge operates and signifies the societal norms and attitudes towards Christmas.""The City represents the bustling urban environment where Scrooge\'s memories unfold, highlighting the contrast between his past and present.""The City refers to the broader urban environment in which Scrooge operates and signifies the societal norms and attitudes towards Christmas.""The City represents the bustling urban environment where Scrooge\'s memories unfold, highlighting the contrast between his past and present."', 'source_id': 'chunk-74e2466de2f67fd710ef2f20c0a8d9e0chunk-c6c248858d1b13ab7ee9ca13c1aeed6bchunk-94bea83e7153fc2064aa382b494936a1chunk-bb21d58d36c6306fd8810ddd51c4a971'}> +2024-10-30 06:51:57,570 - lightrag - INFO - get_node:query:MATCH (n:`THE WOMAN`) RETURN n:result:chunk-60fc063c79fc0d4acc91a57e79de04dcchunk-89777b838d5447c7bd1ec11282c4ee89'}> +2024-10-30 06:51:57,655 - lightrag - INFO - get_node:query:MATCH (n:`MARLEY'S FUNERAL`) RETURN n:result: +2024-10-30 06:51:57,742 - lightrag - INFO - get_node:query:MATCH (n:`SPECTRE`) RETURN n:result: +2024-10-30 06:51:57,828 - lightrag - INFO - get_node:query:MATCH (n:`CHRISTMAS`) RETURN n:result:chunk-c6c248858d1b13ab7ee9ca13c1aeed6bchunk-99b0ec7f7e006561352b5d65e849611dchunk-02baee20cc9463dbe08170a8e1043e32chunk-503f0bfa5453467c7c61d160a3540ecachunk-91572b3cd42786ba4cb2f180ca25cbf4chunk-8f738cb25d60a7dab782162d9d0a25edchunk-94bea83e7153fc2064aa382b494936a1chunk-1d4b58de5429cd1261370c231c8673e8chunk-74e2466de2f67fd710ef2f20c0a8d9e0chunk-89777b838d5447c7bd1ec11282c4ee89chunk-90d5764e301321c087f5a8f78b73a145chunk-91614df5cb74cbe5e109a338a82041e9chunk-54bdd22db1f84a965b5f4c06c9216d8dchunk-773d0df1dd25c356f7b771d780583e09chunk-5dac41b3f9eeaf794f0147400b1718cdchunk-43c9bee23adfa77aa9dedd22401bba7dchunk-da2472b4ef2a535b62908f14d0fb0ca9chunk-8590d9263cd2cd4fa583c432fc54e6c3'}> +2024-10-30 06:51:57,915 - lightrag - INFO - get_node:query:MATCH (n:`GRAVE`) RETURN n:result: +2024-10-30 06:51:58,002 - lightrag - INFO - get_node:query:MATCH (n:`THE DECEASED MAN`) RETURN n:result: +2024-10-30 06:51:58,089 - lightrag - INFO - get_node:query:MATCH (n:`FEZZIWIG`) RETURN n:result:"Fezziwig is a character known for hosting a domestic ball that brings joy and merriment to the participants, showcasing his ability to create happiness.""Fezziwig is a joyful and lively character who dances with Mrs. Fezziwig, embodying the festive spirit of Christmas.""Fezziwig is presented as Scrooge\'s former employer, known for his jovial nature and generous spirit, who plays a significant role in Scrooge\'s memories.""Fezziwig is the owner of a business where festive celebrations take place, known for his jovial character and ability to create a lively atmosphere."Fezziwig is a character renowned for his role as a joyful and jovial employer who hosts domestic balls, creating an atmosphere filled with happiness and merriment for his participants. He is depicted as a kind-hearted figure who organizes lively Christmas festivities for his employees, exemplifying kindness and generosity. Fezziwig plays a significant role in the memories of Ebenezer Scrooge, being portrayed as his former employer who embodies the true spirit of Christmas.\n\nHe is often seen dancing with his wife, Mrs. Fezziwig, which further illustrates his cheerful nature and the festive spirit surrounding the celebrations. As the owner of a business where these vibrant festivities take place, Fezziwig is celebrated for his ability to create a lively and joyful environment, leaving a lasting impression on those who encounter him during the festive seasons. His portrayal encapsulates the essence of joy, generosity, and the festive spirit, making him a beloved character in the narrative of Scrooge\'s past."Fezziwig is a joyful and lively character who dances with Mrs. Fezziwig, embodying the festive spirit of Christmas.""Fezziwig is presented as Scrooge\'s former employer, known for his jovial nature and generous spirit, who plays a significant role in Scrooge\'s memories.""Fezziwig is the owner of a business where festive celebrations take place, known for his jovial character and ability to create a lively atmosphere."', 'source_id': 'chunk-b2f98bc7abb0c67d4c86055c7fd72218chunk-c6c248858d1b13ab7ee9ca13c1aeed6bchunk-8bc1edd983869352d14cf0886a9175a7chunk-89777b838d5447c7bd1ec11282c4ee89'}> +2024-10-30 06:51:58,174 - lightrag - INFO - get_node:query:MATCH (n:`THE DEBT`) RETURN n:result: +2024-10-30 06:51:58,264 - lightrag - INFO - get_node:query:MATCH (n:`GHOST OF CHRISTMAS PAST`) RETURN n:result:"The Ghost of Christmas Past is a supernatural entity that aids Scrooge in reflecting on his past experiences and emotions.""The Ghost of Christmas Past is one of the spirits in A Christmas Carol that shows Scrooge his past, prompting reflection and change.""The Ghost of Christmas Past represents a spirit that guides Scrooge to revisit and reflect on his past experiences and memories.""The Ghost of Christmas Past is one of the spirits in A Christmas Carol that shows Scrooge his past, prompting reflection and change.""The Ghost of Christmas Past represents a spirit that guides Scrooge to revisit and reflect on his past experiences and memories.""The Ghost of Christmas Past is one of the spirits in A Christmas Carol that shows Scrooge his past, prompting reflection and change.""The Ghost of Christmas Past represents a spirit that guides Scrooge to revisit and reflect on his past experiences and memories.""The Ghost of Christmas Past is one of the spirits in A Christmas Carol that shows Scrooge his past, prompting reflection and change.""The Ghost of Christmas Past represents a spirit that guides Scrooge to revisit and reflect on his past experiences and memories.""The Ghost of Christmas Past is one of the spirits in A Christmas Carol that shows Scrooge his past, prompting reflection and change.""The Ghost of Christmas Past represents a spirit that guides Scrooge to revisit and reflect on his past experiences and memories."', 'source_id': 'chunk-9e3921da66da5d761ab73cd849af6c43chunk-bb21d58d36c6306fd8810ddd51c4a971'}> +2024-10-30 06:51:58,355 - lightrag - INFO - get_node:query:MATCH (n:`IGNORANCE`) RETURN n:result:"Ignorance is personified as a boy that symbolizes the dangers of ignoring social issues and the consequences of a lack of awareness.""Ignorance personifies a societal failing, depicted as a child, warning of the dangers of neglect and moral responsibility.""Ignorance refers to one of the two children presented by the Spirit, symbolizing societal neglect and the consequences of lack of awareness.""Ignorance personifies a societal failing, depicted as a child, warning of the dangers of neglect and moral responsibility.""Ignorance refers to one of the two children presented by the Spirit, symbolizing societal neglect and the consequences of lack of awareness.""Ignorance personifies a societal failing, depicted as a child, warning of the dangers of neglect and moral responsibility.""Ignorance refers to one of the two children presented by the Spirit, symbolizing societal neglect and the consequences of lack of awareness.""Ignorance personifies a societal failing, depicted as a child, warning of the dangers of neglect and moral responsibility.""Ignorance refers to one of the two children presented by the Spirit, symbolizing societal neglect and the consequences of lack of awareness.""Ignorance personifies a societal failing, depicted as a child, warning of the dangers of neglect and moral responsibility.""Ignorance refers to one of the two children presented by the Spirit, symbolizing societal neglect and the consequences of lack of awareness."', 'source_id': 'chunk-02baee20cc9463dbe08170a8e1043e32chunk-e7637ff18c5ded77a68cce0a87883fad'}> +2024-10-30 06:51:58,441 - lightrag - INFO - get_node:query:MATCH (n:`MARLEY'S GHOST`) RETURN n:result:chunk-9c43dac2fcd5b578242d907ea6f8fc7bchunk-cb661c37436355ccec2769b1d0350c5fchunk-1aa50206d02ed89418f65f97c6441d1c'}> +2024-10-30 06:51:58,527 - lightrag - INFO - get_node:query:MATCH (n:`SCROOGE'S NIECE`) RETURN n:result:"Scrooge\'s Niece is a lively character who expresses indignation towards Scrooge\'s disdain for Christmas and embodies warmth and charm, showing affection and concern for family.""Scrooge\'s Niece is a lively character who expresses indignation towards Scrooge\'s disdain for Christmas and embodies warmth and charm, showing affection and concern for family.""Scrooge\'s Niece is a lively character who expresses indignation towards Scrooge\'s disdain for Christmas and embodies warmth and charm, showing affection and concern for family.""Scrooge\'s Niece is a lively character who expresses indignation towards Scrooge\'s disdain for Christmas and embodies warmth and charm, showing affection and concern for family.""Scrooge\'s Niece is depicted as a beautiful and lively character who expresses strong opinions about her uncle Scrooge.""Scrooge\'s niece is depicted as a joyful participant in the evening\'s festivities, engaging in games and music.""Scrooge\'s niece is a central figure in the family gathering, enjoying the festivities and games, showing a loving and vibrant personality.""Scrooge\'s niece is a central figure in the family gathering, enjoying the festivities and games, showing a loving and vibrant personality.""Scrooge\'s niece is a central figure in the family gathering, enjoying the festivities and games, showing a loving and vibrant personality.""Scrooge\'s niece is a central figure in the family gathering, enjoying the festivities and games, showing a loving and vibrant personality.""Scrooge\'s niece is a central figure in the family gathering, enjoying the festivities and games, showing a loving and vibrant personality."', 'source_id': 'chunk-773d0df1dd25c356f7b771d780583e09chunk-43c9bee23adfa77aa9dedd22401bba7d'}> +2024-10-30 06:51:58,614 - lightrag - INFO - get_node:query:MATCH (n:`TINY TIM`) RETURN n:result:chunk-19d72c57ae3408758b18d2568e86dc6bchunk-503f0bfa5453467c7c61d160a3540ecachunk-91572b3cd42786ba4cb2f180ca25cbf4chunk-9e3921da66da5d761ab73cd849af6c43chunk-8f738cb25d60a7dab782162d9d0a25edchunk-94bea83e7153fc2064aa382b494936a1chunk-83ac129dc9b56f84c46760d153d68e93chunk-7e2e7ebcc19a53b399dc03aded4743e7chunk-1d4b58de5429cd1261370c231c8673e8'}> +2024-10-30 06:51:58,700 - lightrag - INFO - get_node:query:MATCH (n:`TIM`) RETURN n:result: +2024-10-30 06:51:58,787 - lightrag - INFO - get_node:query:MATCH (n:`THE SPIRIT`) RETURN n:result:chunk-b0f459f5af1c3a5e0b92cbe4ee48b77bchunk-da2472b4ef2a535b62908f14d0fb0ca9chunk-e1f29eeadc1d8ab46dc8a0bbd3c56b64chunk-19d72c57ae3408758b18d2568e86dc6bchunk-503f0bfa5453467c7c61d160a3540ecachunk-91614df5cb74cbe5e109a338a82041e9chunk-91572b3cd42786ba4cb2f180ca25cbf4chunk-f1a4fbcf1ed86864b9bfd5e8dba4c683chunk-8590d9263cd2cd4fa583c432fc54e6c3chunk-b2f98bc7abb0c67d4c86055c7fd72218chunk-bb21d58d36c6306fd8810ddd51c4a971'}> +2024-10-30 06:51:58,874 - lightrag - INFO - get_node:query:MATCH (n:`JACOB MARLEY`) RETURN n:result:"Jacob Marley is Scrooge\'s deceased partner, who appears in spirit to influence Scrooge\'s journey towards redemption.""Jacob Marley is a spirit who influences Scrooge\'s change of heart, representing a connection to Scrooge\'s past and the theme of redemption.""Jacob Marley is the deceased business partner of Scrooge, whose ghost visits him to convey a message about the importance of charity and kindness.""Jacob Marley is the deceased partner of Scrooge who shows concern for Scrooge\'s fate and the importance of change in his life.""Jacob Marley is the ghost of Scrooge\'s former business partner, who foretells the consequences of Scrooge\'s selfishness and warns him to change his ways.""Jacob Marley is the ghost of Scrooge\'s former partner, who appears to warn Scrooge about his fate and the need for change in his life."Jacob Marley is Scrooge\'s deceased business partner, who appears as a ghost, prominently wearing chains that symbolize the burdens of his past misdeeds and the weight of his regrets. As a spirit, Marley plays a pivotal role in influencing Ebenezer Scrooge\'s journey toward redemption. He visits Scrooge to convey significant messages about the dire consequences of a life devoid of compassion and the critical importance of charity and kindness.\n\nMarley\'s haunting presence serves as a warning to Scrooge about his impending fate if he continues on his selfish and isolated path. He is depicted as showing genuine concern for Scrooge\'s welfare and the necessity for transformative change in his life. Through his visitation, Marley acts as a catalyst, compelling Scrooge to reflect on his past actions and their impact on others. His connection to Scrooge\'s history reinforces the themes of redemption and personal responsibility, emphasizing the potential for transformation and renewal in the face of prior wrongdoings. Ultimately, Jacob Marley\'s spirit not only acts as a reminder of the consequences of one\'s choices but also highlights the possibility of change and growth through self-awareness and connection to humanity.', 'source_id': 'chunk-90b95db5c53e4364a6bee36b7aa4d70fchunk-359187e7571bda4b0b08b2e0b6581e52chunk-da2472b4ef2a535b62908f14d0fb0ca9chunk-02baee20cc9463dbe08170a8e1043e32chunk-1aa50206d02ed89418f65f97c6441d1cchunk-91572b3cd42786ba4cb2f180ca25cbf4chunk-cb661c37436355ccec2769b1d0350c5f'}> +2024-10-30 06:51:58,961 - lightrag - INFO - get_node:query:MATCH (n:`THE CRATCHIT HOUSE`) RETURN n:result: +2024-10-30 06:51:59,047 - lightrag - INFO - get_node:query:MATCH (n:`SPIRIT`) RETURN n:result:"The Spirit represents a ghostly figure guiding Scrooge through reflections related to a death, illustrating lessons about life and mortality.""The Spirit represents a supernatural being guiding Scrooge through lessons about the consequences of his actions and the future.""The Spirit represents a supernatural entity guiding Scrooge and teaching him lessons about compassion and humanity."The "Spirit" represents a multifaceted supernatural entity that plays a crucial role in guiding Ebenezer Scrooge through profound reflections on his life, death, and human emotions. Central to the narrative is the Spirit\'s embodiment of the essence of Marley, which interacts with Scrooge to highlight themes related to the afterlife and unresolved issues. The Spirit manifests as various figures, most notably the Ghost of Christmas Present, who personifies the themes of generosity, merriment, and the true spirit of the Christmas season.\n\nThroughout Scrooge\'s journey, the Spirit serves as a guide, leading him through memories of his past, reflecting his former self and the influence of time on his character. The entity illustrates important lessons about compassion, social responsibility, and the consequences of his actions, urging Scrooge to confront societal issues and fostering self-awareness.\n\nThe Spirit also emphasizes the somber aspects of life, illustrating lessons about mortality and the inevitability of death, prompting Scrooge to reflect on the implications of his life choices. Overall, the Spirit encapsulates the intersection of compassion, humanity, and the moral lessons inherent in the experience of life, serving as a catalyst for Scrooge\'s transformation and awakening.', 'source_id': 'chunk-e7637ff18c5ded77a68cce0a87883fadchunk-02baee20cc9463dbe08170a8e1043e32chunk-1aa50206d02ed89418f65f97c6441d1cchunk-83ac129dc9b56f84c46760d153d68e93chunk-843b5b2f944c7413d9ca876e2e2f151fchunk-bb21d58d36c6306fd8810ddd51c4a971'}> +2024-10-30 06:51:59,133 - lightrag - INFO - get_node:query:MATCH (n:`MARLEY`) RETURN n:result:"Marley is Scrooge\'s deceased business partner whose presence looms over the story, symbolizing the consequences of a life similar to Scrooge\'s.""Marley is Scrooge\'s deceased business partner, whose death is a significant event that sets the tone for the story.""Marley is Scrooge\'s deceased business partner, whose death is mentioned as impactful, having passed seven years prior to the events in the text.""Marley is depicted as a ghost, having a pigtail, waistcoat, tights, and boots, and is central to Scrooge\'s haunting experience."Marley is Scrooge\'s deceased business partner, whose presence looms over the narrative of the story, symbolizing the dire consequences of a life lived without compassion and care for others. His death serves as a significant event that sets the tone for the plot and reflects the overarching themes of regret and the supernatural.\n\nMarley passed away seven years prior to the events depicted, making his spectral appearance even more impactful. Despite being a character who is only mentioned throughout much of the story, his influence on Scrooge is profound, as reflections and memories of Marley shape Scrooge\'s perspective on life and relationships. This ghostly figure is depicted distinctly with a pigtail, waistcoat, tights, and boots, making him central to Scrooge\'s haunting experience.\n\nOverall, Marley represents the weight of past actions and the importance of empathy, acting as a harbinger of transformation for Scrooge. His ghostly manifestation evokes both fear and introspection, ultimately contributing to the moral lessons embedded in the tale."Marley is Scrooge\'s deceased business partner, whose death is a significant event that sets the tone for the story.""Marley is Scrooge\'s deceased business partner, whose death is mentioned as impactful, having passed seven years prior to the events in the text.""Marley is depicted as a ghost, having a pigtail, waistcoat, tights, and boots, and is central to Scrooge\'s haunting experience."', 'source_id': 'chunk-5dac41b3f9eeaf794f0147400b1718cdchunk-89777b838d5447c7bd1ec11282c4ee89chunk-d9aac3484185ac66045df92214d245d5chunk-9c43dac2fcd5b578242d907ea6f8fc7bchunk-843b5b2f944c7413d9ca876e2e2f151f'}> +2024-10-30 06:51:59,267 - lightrag - INFO - _find_node_degree:query: + MATCH (n:`FOG`) + RETURN COUNT{ (n)--() } AS totalEdgeCount + :result:2 +2024-10-30 06:51:59,436 - lightrag - INFO - _find_node_degree:query: + MATCH (n:`THE GHOST OF CHRISTMAS YET TO COME`) + RETURN COUNT{ (n)--() } AS totalEdgeCount + :result:1 +2024-10-30 06:51:59,605 - lightrag - INFO - _find_node_degree:query: + MATCH (n:`WANT`) + RETURN COUNT{ (n)--() } AS totalEdgeCount + :result:2 +2024-10-30 06:51:59,775 - lightrag - INFO - _find_node_degree:query: + MATCH (n:`CHILD`) + RETURN COUNT{ (n)--() } AS totalEdgeCount + :result:2 +2024-10-30 06:51:59,952 - lightrag - INFO - _find_node_degree:query: + MATCH (n:`THE PHANTOM`) + RETURN COUNT{ (n)--() } AS totalEdgeCount + :result:2 +2024-10-30 06:52:00,125 - lightrag - INFO - _find_node_degree:query: + MATCH (n:`BOB CRATCHIT`) + RETURN COUNT{ (n)--() } AS totalEdgeCount + :result:21 +2024-10-30 06:52:00,302 - lightrag - INFO - _find_node_degree:query: + MATCH (n:`SCROOGE`) + RETURN COUNT{ (n)--() } AS totalEdgeCount + :result:151 +2024-10-30 06:52:00,473 - lightrag - INFO - _find_node_degree:query: + MATCH (n:`THE GHOST OF CHRISTMAS PAST`) + RETURN COUNT{ (n)--() } AS totalEdgeCount + :result:1 +2024-10-30 06:52:00,645 - lightrag - INFO - _find_node_degree:query: + MATCH (n:`THE MEMORY`) + RETURN COUNT{ (n)--() } AS totalEdgeCount + :result:1 +2024-10-30 06:52:00,812 - lightrag - INFO - _find_node_degree:query: + MATCH (n:`COLD WEATHER`) + RETURN COUNT{ (n)--() } AS totalEdgeCount + :result:1 +2024-10-30 06:52:00,985 - lightrag - INFO - _find_node_degree:query: + MATCH (n:`THE GHOST`) + RETURN COUNT{ (n)--() } AS totalEdgeCount + :result:6 +2024-10-30 06:52:01,156 - lightrag - INFO - _find_node_degree:query: + MATCH (n:`CHRISTMAS HOLIDAYS`) + RETURN COUNT{ (n)--() } AS totalEdgeCount + :result:1 +2024-10-30 06:52:01,328 - lightrag - INFO - _find_node_degree:query: + MATCH (n:`CHRISTMAS EVE`) + RETURN COUNT{ (n)--() } AS totalEdgeCount + :result:5 +2024-10-30 06:52:01,494 - lightrag - INFO - _find_node_degree:query: + MATCH (n:`THE CORPSE`) + RETURN COUNT{ (n)--() } AS totalEdgeCount + :result:2 +2024-10-30 06:52:01,663 - lightrag - INFO - _find_node_degree:query: + MATCH (n:`GHOST`) + RETURN COUNT{ (n)--() } AS totalEdgeCount + :result:8 +2024-10-30 06:52:01,832 - lightrag - INFO - _find_node_degree:query: + MATCH (n:`JOE`) + RETURN COUNT{ (n)--() } AS totalEdgeCount + :result:3 +2024-10-30 06:52:02,008 - lightrag - INFO - _find_node_degree:query: + MATCH (n:`MANSION`) + RETURN COUNT{ (n)--() } AS totalEdgeCount + :result:2 +2024-10-30 06:52:02,183 - lightrag - INFO - _find_node_degree:query: + MATCH (n:`THE COUNTING-HOUSE`) + RETURN COUNT{ (n)--() } AS totalEdgeCount + :result:2 +2024-10-30 06:52:02,352 - lightrag - INFO - _find_node_degree:query: + MATCH (n:`THE CITY`) + RETURN COUNT{ (n)--() } AS totalEdgeCount + :result:3 +2024-10-30 06:52:02,519 - lightrag - INFO - _find_node_degree:query: + MATCH (n:`THE WOMAN`) + RETURN COUNT{ (n)--() } AS totalEdgeCount + :result:6 +2024-10-30 06:52:02,684 - lightrag - INFO - _find_node_degree:query: + MATCH (n:`MARLEY'S FUNERAL`) + RETURN COUNT{ (n)--() } AS totalEdgeCount + :result:1 +2024-10-30 06:52:02,849 - lightrag - INFO - _find_node_degree:query: + MATCH (n:`SPECTRE`) + RETURN COUNT{ (n)--() } AS totalEdgeCount + :result:1 +2024-10-30 06:52:03,020 - lightrag - INFO - _find_node_degree:query: + MATCH (n:`CHRISTMAS`) + RETURN COUNT{ (n)--() } AS totalEdgeCount + :result:25 +2024-10-30 06:52:03,189 - lightrag - INFO - _find_node_degree:query: + MATCH (n:`GRAVE`) + RETURN COUNT{ (n)--() } AS totalEdgeCount + :result:1 +2024-10-30 06:52:03,362 - lightrag - INFO - _find_node_degree:query: + MATCH (n:`THE DECEASED MAN`) + RETURN COUNT{ (n)--() } AS totalEdgeCount + :result:2 +2024-10-30 06:52:03,534 - lightrag - INFO - _find_node_degree:query: + MATCH (n:`FEZZIWIG`) + RETURN COUNT{ (n)--() } AS totalEdgeCount + :result:11 +2024-10-30 06:52:03,702 - lightrag - INFO - _find_node_degree:query: + MATCH (n:`THE DEBT`) RETURN COUNT{ (n)--() } AS totalEdgeCount :result:1 -2024-10-29 15:34:04,069 - lightrag - INFO - _find_node_degree:query: - MATCH (n:`FROST`) +2024-10-30 06:52:03,867 - lightrag - INFO - _find_node_degree:query: + MATCH (n:`GHOST OF CHRISTMAS PAST`) + RETURN COUNT{ (n)--() } AS totalEdgeCount + :result:5 +2024-10-30 06:52:04,035 - lightrag - INFO - _find_node_degree:query: + MATCH (n:`IGNORANCE`) + RETURN COUNT{ (n)--() } AS totalEdgeCount + :result:4 +2024-10-30 06:52:04,210 - lightrag - INFO - _find_node_degree:query: + MATCH (n:`MARLEY'S GHOST`) + RETURN COUNT{ (n)--() } AS totalEdgeCount + :result:8 +2024-10-30 06:52:04,383 - lightrag - INFO - _find_node_degree:query: + MATCH (n:`SCROOGE'S NIECE`) + RETURN COUNT{ (n)--() } AS totalEdgeCount + :result:5 +2024-10-30 06:52:04,554 - lightrag - INFO - _find_node_degree:query: + MATCH (n:`TINY TIM`) + RETURN COUNT{ (n)--() } AS totalEdgeCount + :result:12 +2024-10-30 06:52:04,721 - lightrag - INFO - _find_node_degree:query: + MATCH (n:`TIM`) RETURN COUNT{ (n)--() } AS totalEdgeCount :result:1 -2024-10-29 15:34:04,239 - lightrag - INFO - _find_node_degree:query: - MATCH (n:`THE TRANSPARENT WINDOW`) +2024-10-30 06:52:04,892 - lightrag - INFO - _find_node_degree:query: + MATCH (n:`THE SPIRIT`) + RETURN COUNT{ (n)--() } AS totalEdgeCount + :result:8 +2024-10-30 06:52:05,064 - lightrag - INFO - _find_node_degree:query: + MATCH (n:`JACOB MARLEY`) + RETURN COUNT{ (n)--() } AS totalEdgeCount + :result:7 +2024-10-30 06:52:05,234 - lightrag - INFO - _find_node_degree:query: + MATCH (n:`THE CRATCHIT HOUSE`) + RETURN COUNT{ (n)--() } AS totalEdgeCount + :result:2 +2024-10-30 06:52:05,413 - lightrag - INFO - _find_node_degree:query: + MATCH (n:`SPIRIT`) + RETURN COUNT{ (n)--() } AS totalEdgeCount + :result:13 +2024-10-30 06:52:05,583 - lightrag - INFO - _find_node_degree:query: + MATCH (n:`MARLEY`) + RETURN COUNT{ (n)--() } AS totalEdgeCount + :result:5 +2024-10-30 06:52:05,631 - lightrag - INFO - Global query uses 18 entites, 37 relations, 3 text units +2024-10-30 06:52:26,228 - lightrag - INFO - Creating a new event loop in a sub-thread. +2024-10-30 06:52:26,754 - lightrag - INFO - get_node:query:MATCH (n:`TIME`) RETURN n:result: +2024-10-30 06:52:26,844 - lightrag - INFO - get_node:query:MATCH (n:`THE DEATH`) RETURN n:result: +2024-10-30 06:52:26,935 - lightrag - INFO - get_node:query:MATCH (n:`THE EVENT OF DEATH`) RETURN n:result: +2024-10-30 06:52:27,022 - lightrag - INFO - get_node:query:MATCH (n:`THE TOWN`) RETURN n:result: +2024-10-30 06:52:27,106 - lightrag - INFO - get_node:query:MATCH (n:`CHRISTMAS`) RETURN n:result:chunk-c6c248858d1b13ab7ee9ca13c1aeed6bchunk-99b0ec7f7e006561352b5d65e849611dchunk-02baee20cc9463dbe08170a8e1043e32chunk-503f0bfa5453467c7c61d160a3540ecachunk-91572b3cd42786ba4cb2f180ca25cbf4chunk-8f738cb25d60a7dab782162d9d0a25edchunk-94bea83e7153fc2064aa382b494936a1chunk-1d4b58de5429cd1261370c231c8673e8chunk-74e2466de2f67fd710ef2f20c0a8d9e0chunk-89777b838d5447c7bd1ec11282c4ee89chunk-90d5764e301321c087f5a8f78b73a145chunk-91614df5cb74cbe5e109a338a82041e9chunk-54bdd22db1f84a965b5f4c06c9216d8dchunk-773d0df1dd25c356f7b771d780583e09chunk-5dac41b3f9eeaf794f0147400b1718cdchunk-43c9bee23adfa77aa9dedd22401bba7dchunk-da2472b4ef2a535b62908f14d0fb0ca9chunk-8590d9263cd2cd4fa583c432fc54e6c3'}> +2024-10-30 06:52:27,192 - lightrag - INFO - get_node:query:MATCH (n:`HOPE`) RETURN n:result:"Hope emerges as a central theme in the characters\' lives, particularly through Caroline\'s reaction to news about the husband and the family\'s future.""Hope emerges as a central theme in the characters\' lives, particularly through Caroline\'s reaction to news about the husband and the family\'s future.""Hope emerges as a central theme in the characters\' lives, particularly through Caroline\'s reaction to news about the husband and the family\'s future.""Hope emerges as a central theme in the characters\' lives, particularly through Caroline\'s reaction to news about the husband and the family\'s future.""Hope represents the aspirations and dreams that characters have, particularly in the context of the matron\'s optimistic nature.""Hope represents the aspirations and dreams that characters have, particularly in the context of the matron\'s optimistic nature.""Hope represents the aspirations and dreams that characters have, particularly in the context of the matron\'s optimistic nature.""Hope represents the aspirations and dreams that characters have, particularly in the context of the matron\'s optimistic nature.""Hope represents the aspirations and dreams that characters have, particularly in the context of the matron\'s optimistic nature."', 'source_id': 'chunk-54bdd22db1f84a965b5f4c06c9216d8dchunk-83ac129dc9b56f84c46760d153d68e93'}> +2024-10-30 06:52:27,280 - lightrag - INFO - get_node:query:MATCH (n:`CLOCK'S STRIKE`) RETURN n:result: +2024-10-30 06:52:27,368 - lightrag - INFO - get_node:query:MATCH (n:`THE COLD AIR`) RETURN n:result: +2024-10-30 06:52:27,457 - lightrag - INFO - get_node:query:MATCH (n:`THE STOLEN GOODS`) RETURN n:result: +2024-10-30 06:52:27,546 - lightrag - INFO - get_node:query:MATCH (n:`THE SPECTRE`) RETURN n:result: +2024-10-30 06:52:27,632 - lightrag - INFO - get_node:query:MATCH (n:`DEATH`) RETURN n:result:"Death is described as a powerful force in the narrative, represented through the imagery of a cold, rigid presence and the contemplation of mortality.""Death refers to the passing of a character that triggers a range of emotions and reflections among the living, influencing their lives and relationships.""Death is depicted as a cold, inevitable force, prompting reflections on the value of life and the consequences of avarice.""Death is depicted as a cold, inevitable force, prompting reflections on the value of life and the consequences of avarice.""Death is depicted as a cold, inevitable force, prompting reflections on the value of life and the consequences of avarice.""Death is depicted as a cold, inevitable force, prompting reflections on the value of life and the consequences of avarice.""Death is depicted as a cold, inevitable force, prompting reflections on the value of life and the consequences of avarice."', 'source_id': 'chunk-e1f29eeadc1d8ab46dc8a0bbd3c56b64chunk-83ac129dc9b56f84c46760d153d68e93chunk-02baee20cc9463dbe08170a8e1043e32'}> +2024-10-30 06:52:27,719 - lightrag - INFO - get_node:query:MATCH (n:`THE BED`) RETURN n:result:"The Bed represents a significant scene where the deceased man\'s body is laid, evoking deep emotions and realizations about life and morality.""The Bed represents a significant scene where the deceased man\'s body is laid, evoking deep emotions and realizations about life and morality.""The Bed represents a significant scene where the deceased man\'s body is laid, evoking deep emotions and realizations about life and morality.""The Bed represents a significant scene where the deceased man\'s body is laid, evoking deep emotions and realizations about life and morality.""The Bed represents a significant scene where the deceased man\'s body is laid, evoking deep emotions and realizations about life and morality."', 'source_id': 'chunk-e1f29eeadc1d8ab46dc8a0bbd3c56b64'}> +2024-10-30 06:52:27,806 - lightrag - INFO - get_node:query:MATCH (n:`JUDGMENT`) RETURN n:result: +2024-10-30 06:52:27,895 - lightrag - INFO - get_node:query:MATCH (n:`CLOCK`) RETURN n:result: +2024-10-30 06:52:27,983 - lightrag - INFO - get_node:query:MATCH (n:`SCROOGE`) RETURN n:result:chunk-b0f459f5af1c3a5e0b92cbe4ee48b77bchunk-e7637ff18c5ded77a68cce0a87883fadchunk-359187e7571bda4b0b08b2e0b6581e52chunk-e1f29eeadc1d8ab46dc8a0bbd3c56b64chunk-c6c248858d1b13ab7ee9ca13c1aeed6bchunk-cb661c37436355ccec2769b1d0350c5fchunk-f1a4fbcf1ed86864b9bfd5e8dba4c683chunk-99b0ec7f7e006561352b5d65e849611dchunk-843b5b2f944c7413d9ca876e2e2f151fchunk-90b95db5c53e4364a6bee36b7aa4d70fchunk-19d72c57ae3408758b18d2568e86dc6bchunk-02baee20cc9463dbe08170a8e1043e32chunk-503f0bfa5453467c7c61d160a3540ecachunk-91572b3cd42786ba4cb2f180ca25cbf4chunk-83ac129dc9b56f84c46760d153d68e93chunk-8f738cb25d60a7dab782162d9d0a25edchunk-94bea83e7153fc2064aa382b494936a1chunk-9c43dac2fcd5b578242d907ea6f8fc7bchunk-74e2466de2f67fd710ef2f20c0a8d9e0chunk-89777b838d5447c7bd1ec11282c4ee89chunk-d9aac3484185ac66045df92214d245d5chunk-90d5764e301321c087f5a8f78b73a145chunk-91614df5cb74cbe5e109a338a82041e9chunk-54bdd22db1f84a965b5f4c06c9216d8dchunk-773d0df1dd25c356f7b771d780583e09chunk-5dac41b3f9eeaf794f0147400b1718cdchunk-43c9bee23adfa77aa9dedd22401bba7dchunk-da2472b4ef2a535b62908f14d0fb0ca9chunk-1aa50206d02ed89418f65f97c6441d1cchunk-8590d9263cd2cd4fa583c432fc54e6c3chunk-b2f98bc7abb0c67d4c86055c7fd72218chunk-bb21d58d36c6306fd8810ddd51c4a971'}> +2024-10-30 06:52:28,072 - lightrag - INFO - get_node:query:MATCH (n:`THE MEETING`) RETURN n:result: +2024-10-30 06:52:28,156 - lightrag - INFO - get_node:query:MATCH (n:`THE GHOST`) RETURN n:result:chunk-43c9bee23adfa77aa9dedd22401bba7dchunk-e7637ff18c5ded77a68cce0a87883fadchunk-359187e7571bda4b0b08b2e0b6581e52chunk-da2472b4ef2a535b62908f14d0fb0ca9chunk-c6c248858d1b13ab7ee9ca13c1aeed6bchunk-02baee20cc9463dbe08170a8e1043e32chunk-1aa50206d02ed89418f65f97c6441d1cchunk-cb661c37436355ccec2769b1d0350c5fchunk-54bdd22db1f84a965b5f4c06c9216d8dchunk-8590d9263cd2cd4fa583c432fc54e6c3chunk-83ac129dc9b56f84c46760d153d68e93chunk-9c43dac2fcd5b578242d907ea6f8fc7b'}> +2024-10-30 06:52:28,238 - lightrag - INFO - get_node:query:MATCH (n:`MARLEY`) RETURN n:result:"Marley is Scrooge\'s deceased business partner whose presence looms over the story, symbolizing the consequences of a life similar to Scrooge\'s.""Marley is Scrooge\'s deceased business partner, whose death is a significant event that sets the tone for the story.""Marley is Scrooge\'s deceased business partner, whose death is mentioned as impactful, having passed seven years prior to the events in the text.""Marley is depicted as a ghost, having a pigtail, waistcoat, tights, and boots, and is central to Scrooge\'s haunting experience."Marley is Scrooge\'s deceased business partner, whose presence looms over the narrative of the story, symbolizing the dire consequences of a life lived without compassion and care for others. His death serves as a significant event that sets the tone for the plot and reflects the overarching themes of regret and the supernatural.\n\nMarley passed away seven years prior to the events depicted, making his spectral appearance even more impactful. Despite being a character who is only mentioned throughout much of the story, his influence on Scrooge is profound, as reflections and memories of Marley shape Scrooge\'s perspective on life and relationships. This ghostly figure is depicted distinctly with a pigtail, waistcoat, tights, and boots, making him central to Scrooge\'s haunting experience.\n\nOverall, Marley represents the weight of past actions and the importance of empathy, acting as a harbinger of transformation for Scrooge. His ghostly manifestation evokes both fear and introspection, ultimately contributing to the moral lessons embedded in the tale."Marley is Scrooge\'s deceased business partner, whose death is a significant event that sets the tone for the story.""Marley is Scrooge\'s deceased business partner, whose death is mentioned as impactful, having passed seven years prior to the events in the text.""Marley is depicted as a ghost, having a pigtail, waistcoat, tights, and boots, and is central to Scrooge\'s haunting experience."', 'source_id': 'chunk-5dac41b3f9eeaf794f0147400b1718cdchunk-89777b838d5447c7bd1ec11282c4ee89chunk-d9aac3484185ac66045df92214d245d5chunk-9c43dac2fcd5b578242d907ea6f8fc7bchunk-843b5b2f944c7413d9ca876e2e2f151f'}> +2024-10-30 06:52:28,324 - lightrag - INFO - get_node:query:MATCH (n:`THE BUNDLE`) RETURN n:result:"The Bundle contains the belongings of the deceased man, which serve as a focal point for discussion among the characters regarding value and morality.""The Bundle contains the belongings of the deceased man, which serve as a focal point for discussion among the characters regarding value and morality.""The Bundle contains the belongings of the deceased man, which serve as a focal point for discussion among the characters regarding value and morality.""The Bundle contains the belongings of the deceased man, which serve as a focal point for discussion among the characters regarding value and morality.""The Bundle refers to the collection of stolen items brought by the characters to Old Joe\'s shop for appraisal, symbolizing their actions post-death.""The Bundle refers to the collection of stolen items that the characters present to Old Joe for appraisal.""The Bundle refers to the collection of stolen items brought by the characters to Old Joe\'s shop for appraisal, symbolizing their actions post-death.""The Bundle refers to the collection of stolen items brought by the characters to Old Joe\'s shop for appraisal, symbolizing their actions post-death.""The Bundle refers to the collection of stolen items brought by the characters to Old Joe\'s shop for appraisal, symbolizing their actions post-death.""The Bundle refers to the collection of stolen items brought by the characters to Old Joe\'s shop for appraisal, symbolizing their actions post-death."', 'source_id': 'chunk-e1f29eeadc1d8ab46dc8a0bbd3c56b64chunk-60fc063c79fc0d4acc91a57e79de04dc'}> +2024-10-30 06:52:28,408 - lightrag - INFO - get_node:query:MATCH (n:`THE RAGS`) RETURN n:result: +2024-10-30 06:52:28,497 - lightrag - INFO - get_node:query:MATCH (n:`SNOW`) RETURN n:result: +2024-10-30 06:52:28,584 - lightrag - INFO - get_node:query:MATCH (n:`THE FUNERAL`) RETURN n:result:"The Funeral is a context for conversation among characters, reflecting on mortality and social connections surrounding death.""The Funeral is a context for conversation among characters, reflecting on mortality and social connections surrounding death.""The Funeral is a context for conversation among characters, reflecting on mortality and social connections surrounding death.""The Funeral is a context for conversation among characters, reflecting on mortality and social connections surrounding death.""The Funeral of Marley is a significant event that highlights Scrooge\'s relationship with Marley and sets the tone for their partnership and Scrooge\'s eventual path.""The Funeral serves as a significant event reflecting on Marley\'s death, noted for its business-like atmosphere as perceived by Scrooge.""The Funeral of Marley is a significant event that highlights Scrooge\'s relationship with Marley and sets the tone for their partnership and Scrooge\'s eventual path.""The Funeral of Marley is a significant event that highlights Scrooge\'s relationship with Marley and sets the tone for their partnership and Scrooge\'s eventual path.""The Funeral of Marley is a significant event that highlights Scrooge\'s relationship with Marley and sets the tone for their partnership and Scrooge\'s eventual path.""The Funeral of Marley is a significant event that highlights Scrooge\'s relationship with Marley and sets the tone for their partnership and Scrooge\'s eventual path."', 'source_id': 'chunk-f1a4fbcf1ed86864b9bfd5e8dba4c683chunk-89777b838d5447c7bd1ec11282c4ee89'}> +2024-10-30 06:52:28,670 - lightrag - INFO - get_node:query:MATCH (n:`MARTHA`) RETURN n:result:"Martha is the daughter in the Cratchit family, who makes a dramatic entrance to surprise her family, highlighting the family\'s closeness.""Martha is the daughter in the Cratchit family, who makes a dramatic entrance to surprise her family, highlighting the family\'s closeness.""Martha is the daughter in the Cratchit family, who makes a dramatic entrance to surprise her family, highlighting the family\'s closeness.""Martha is the daughter in the Cratchit family, who makes a dramatic entrance to surprise her family, highlighting the family\'s closeness.""Martha is the daughter in the Cratchit family, who makes a dramatic entrance to surprise her family, highlighting the family\'s closeness."', 'source_id': 'chunk-19d72c57ae3408758b18d2568e86dc6bchunk-7e2e7ebcc19a53b399dc03aded4743e7'}> +2024-10-30 06:52:28,760 - lightrag - INFO - get_node:query:MATCH (n:`THE MOTHER`) RETURN n:result:"The Mother is a character associated with the family dynamics during the Christmas scene, though her actions are not explicitly detailed.""The Mother is depicted as a comely matron, who enjoys the laughter and chaos with her children, showing warmth and family value.""The Mother is a character who exhibits anxiety and hope as she awaits her husband\'s return, embodying the emotional depth of family relations during hardship.""The Mother is a character who shares a tender moment with her husband and daughter, representing familial love and connection.""The Mother is a character who exhibits anxiety and hope as she awaits her husband\'s return, embodying the emotional depth of family relations during hardship.""The Mother is a character who shares a tender moment with her husband and daughter, representing familial love and connection.""The Mother is a character who exhibits anxiety and hope as she awaits her husband\'s return, embodying the emotional depth of family relations during hardship.""The Mother is a character who shares a tender moment with her husband and daughter, representing familial love and connection.""The Mother is a character who exhibits anxiety and hope as she awaits her husband\'s return, embodying the emotional depth of family relations during hardship.""The Mother is a character who shares a tender moment with her husband and daughter, representing familial love and connection.""The Mother is a character who exhibits anxiety and hope as she awaits her husband\'s return, embodying the emotional depth of family relations during hardship.""The Mother is a character who shares a tender moment with her husband and daughter, representing familial love and connection."', 'source_id': 'chunk-54bdd22db1f84a965b5f4c06c9216d8dchunk-da2472b4ef2a535b62908f14d0fb0ca9chunk-83ac129dc9b56f84c46760d153d68e93'}> +2024-10-30 06:52:28,849 - lightrag - INFO - get_node:query:MATCH (n:`DING DONG`) RETURN n:result: +2024-10-30 06:52:28,934 - lightrag - INFO - get_node:query:MATCH (n:`THE HOUSE`) RETURN n:result:"The House is the setting for Scrooge\'s encounters, characterized by its darkness, the creaking sounds, and the presence of the ghost.""The House is the setting for Scrooge\'s encounters, characterized by its darkness, the creaking sounds, and the presence of the ghost.""The House is the setting for Scrooge\'s encounters, characterized by its darkness, the creaking sounds, and the presence of the ghost.""The House is the setting for Scrooge\'s encounters, characterized by its darkness, the creaking sounds, and the presence of the ghost.""The House is the setting for the Christmas celebration and interactions among the characters, embodying warmth and family togetherness.""The House is the setting where Scrooge experiences the haunting, with a description of its features contributing to the eerie atmosphere."', 'source_id': 'chunk-da2472b4ef2a535b62908f14d0fb0ca9chunk-9c43dac2fcd5b578242d907ea6f8fc7b'}> +2024-10-30 06:52:29,024 - lightrag - INFO - get_node:query:MATCH (n:`THE DEBT`) RETURN n:result: +2024-10-30 06:52:29,113 - lightrag - INFO - get_node:query:MATCH (n:`COLD`) RETURN n:result: +2024-10-30 06:52:29,199 - lightrag - INFO - get_node:query:MATCH (n:`THE FOG AND FROST`) RETURN n:result: +2024-10-30 06:52:29,286 - lightrag - INFO - get_node:query:MATCH (n:`LONDON`) RETURN n:result:"London is the city where the narrative takes place, representing a central location in the story.""London is the city where the narrative takes place, representing a central location in the story.""London is the city where the narrative takes place, representing a central location in the story.""London is the city where the narrative takes place, representing a central location in the story.""London serves as the general setting for the story, although its specific mention relates to an animal in the context of a game.""London serves as the geographical setting for the story, encapsulating the harsh winter atmosphere and the life of its inhabitants during the festive season.""London serves as the setting where the events take place, adding a cultural backdrop to the Christmas gathering.""London serves as the setting for the story, highlighting the bustling yet isolating environment in which Scrooge lives.""London serves as the general setting for the story, although its specific mention relates to an animal in the context of a game.""London serves as the setting for the story, highlighting the bustling yet isolating environment in which Scrooge lives.""London serves as the general setting for the story, although its specific mention relates to an animal in the context of a game.""London serves as the setting for the story, highlighting the bustling yet isolating environment in which Scrooge lives.""London serves as the general setting for the story, although its specific mention relates to an animal in the context of a game.""London serves as the setting for the story, highlighting the bustling yet isolating environment in which Scrooge lives.""London serves as the general setting for the story, although its specific mention relates to an animal in the context of a game.""London serves as the setting for the story, highlighting the bustling yet isolating environment in which Scrooge lives."', 'source_id': 'chunk-d9aac3484185ac66045df92214d245d5chunk-43c9bee23adfa77aa9dedd22401bba7dchunk-e7637ff18c5ded77a68cce0a87883fad'}> +2024-10-30 06:52:29,370 - lightrag - INFO - get_node:query:MATCH (n:`CITY`) RETURN n:result:"The City represents the urban setting where Scrooge witnesses the indifference of its inhabitants regarding his death.""The City represents the urban setting where Scrooge\'s transformation takes place, symbolizing the broader society impacted by his changes.""The City serves as a backdrop where various scenes unfold, representing the hustle of life and economic concerns.""The City symbolizes the urban setting where Scrooge\'s transformation takes place, primarily depicting the contrast between Scrooge\'s isolation and the outer world filled with festivities.""The City serves as a backdrop where various scenes unfold, representing the hustle of life and economic concerns.""The City symbolizes the urban setting where Scrooge\'s transformation takes place, primarily depicting the contrast between Scrooge\'s isolation and the outer world filled with festivities.""The City serves as a backdrop where various scenes unfold, representing the hustle of life and economic concerns.""The City symbolizes the urban setting where Scrooge\'s transformation takes place, primarily depicting the contrast between Scrooge\'s isolation and the outer world filled with festivities.""The City serves as a backdrop where various scenes unfold, representing the hustle of life and economic concerns.""The City symbolizes the urban setting where Scrooge\'s transformation takes place, primarily depicting the contrast between Scrooge\'s isolation and the outer world filled with festivities.""The City serves as a backdrop where various scenes unfold, representing the hustle of life and economic concerns.""The City symbolizes the urban setting where Scrooge\'s transformation takes place, primarily depicting the contrast between Scrooge\'s isolation and the outer world filled with festivities."', 'source_id': 'chunk-02baee20cc9463dbe08170a8e1043e32chunk-843b5b2f944c7413d9ca876e2e2f151fchunk-94bea83e7153fc2064aa382b494936a1'}> +2024-10-30 06:52:29,456 - lightrag - INFO - get_node:query:MATCH (n:`THE DYING FLAME`) RETURN n:result:"The Dying Flame represents the fear and uncertainty in Scrooge as it reacts to the presence of Marley’s Ghost, adding to the eerie atmosphere.""The Dying Flame represents the fear and uncertainty in Scrooge as it reacts to the presence of Marley’s Ghost, adding to the eerie atmosphere.""The Dying Flame represents the fear and uncertainty in Scrooge as it reacts to the presence of Marley’s Ghost, adding to the eerie atmosphere.""The Dying Flame represents the fear and uncertainty in Scrooge as it reacts to the presence of Marley’s Ghost, adding to the eerie atmosphere.""The Dying Flame signifies the waning spirit of Scrooge, momentarily invigorated by the arrival of the ghost as a metaphor for his fading humanity.""The Dying Flame signifies the waning spirit of Scrooge, momentarily invigorated by the arrival of the ghost as a metaphor for his fading humanity.""The Dying Flame signifies the waning spirit of Scrooge, momentarily invigorated by the arrival of the ghost as a metaphor for his fading humanity.""The Dying Flame signifies the waning spirit of Scrooge, momentarily invigorated by the arrival of the ghost as a metaphor for his fading humanity.""The Dying Flame signifies the waning spirit of Scrooge, momentarily invigorated by the arrival of the ghost as a metaphor for his fading humanity."', 'source_id': 'chunk-9c43dac2fcd5b578242d907ea6f8fc7bchunk-1aa50206d02ed89418f65f97c6441d1c'}> +2024-10-30 06:52:29,546 - lightrag - INFO - get_node:query:MATCH (n:`THE PHANTOM`) RETURN n:result:"The Phantom represents a ghostly presence guiding Scrooge through reflections on his life and future decisions.""The Phantom represents a ghostly presence guiding Scrooge through reflections on his life and future decisions.""The Phantom represents a ghostly presence guiding Scrooge through reflections on his life and future decisions.""The Phantom represents a ghostly presence guiding Scrooge through reflections on his life and future decisions.""The Phantom represents the supernatural element in Scrooge\'s journey of self-reflection and moral awakening."', 'source_id': 'chunk-f1a4fbcf1ed86864b9bfd5e8dba4c683'}> +2024-10-30 06:52:29,635 - lightrag - INFO - get_node:query:MATCH (n:`JOE`) RETURN n:result:"Joe is a marine-store dealer depicted as receiving stolen goods, illustrating the consequences of crime and the darker sides of society.""Joe is portrayed as a character engaged in a conversation about the deceased, displaying a mix of humor and practicality in dealing with the possessions of the dead.""Joe is a character who interacts with others, demonstrating a sense of curiosity and disbelief regarding certain situations and comments.""Joe is a marine-store dealer and receiver of stolen goods, indicative of the darker, more unscrupulous elements of society.""Joe is an old character who engages in conversation about the deceased man\'s belongings, revealing his pragmatic and somewhat cynical perspective on life and death.""Joe is a character who interacts with others, demonstrating a sense of curiosity and disbelief regarding certain situations and comments.""Joe is a marine-store dealer and receiver of stolen goods, indicative of the darker, more unscrupulous elements of society.""Joe is an old character who engages in conversation about the deceased man\'s belongings, revealing his pragmatic and somewhat cynical perspective on life and death.""Joe is a character who interacts with others, demonstrating a sense of curiosity and disbelief regarding certain situations and comments.""Joe is a marine-store dealer and receiver of stolen goods, indicative of the darker, more unscrupulous elements of society.""Joe is an old character who engages in conversation about the deceased man\'s belongings, revealing his pragmatic and somewhat cynical perspective on life and death.""Joe is a character who interacts with others, demonstrating a sense of curiosity and disbelief regarding certain situations and comments.""Joe is a marine-store dealer and receiver of stolen goods, indicative of the darker, more unscrupulous elements of society.""Joe is an old character who engages in conversation about the deceased man\'s belongings, revealing his pragmatic and somewhat cynical perspective on life and death.""Joe is a character who interacts with others, demonstrating a sense of curiosity and disbelief regarding certain situations and comments.""Joe is a marine-store dealer and receiver of stolen goods, indicative of the darker, more unscrupulous elements of society.""Joe is an old character who engages in conversation about the deceased man\'s belongings, revealing his pragmatic and somewhat cynical perspective on life and death."', 'source_id': 'chunk-e1f29eeadc1d8ab46dc8a0bbd3c56b64chunk-9e3921da66da5d761ab73cd849af6c43chunk-89777b838d5447c7bd1ec11282c4ee89'}> +2024-10-30 06:52:29,722 - lightrag - INFO - get_node:query:MATCH (n:`WINDING RIVER`) RETURN n:result: +2024-10-30 06:52:29,811 - lightrag - INFO - get_node:query:MATCH (n:`SPECTRE`) RETURN n:result: +2024-10-30 06:52:29,900 - lightrag - INFO - get_node:query:MATCH (n:`THE VISION`) RETURN n:result: +2024-10-30 06:52:29,988 - lightrag - INFO - get_node:query:MATCH (n:`THE FAMILY`) RETURN n:result: +2024-10-30 06:52:30,072 - lightrag - INFO - get_node:query:MATCH (n:`THE ACCUSATION`) RETURN n:result: +2024-10-30 06:52:30,160 - lightrag - INFO - get_node:query:MATCH (n:`CRATCHIT FAMILY`) RETURN n:result:"The Cratchit Family consists of Bob, Mrs. Cratchit, and their children, embodying themes of family unity and contentment despite hardships.""The Cratchit Family consists of Bob, Mrs. Cratchit, and their children, embodying themes of family unity and contentment despite hardships.""The Cratchit Family consists of Bob, Mrs. Cratchit, and their children, embodying themes of family unity and contentment despite hardships.""The Cratchit Family consists of Bob, Mrs. Cratchit, and their children, embodying themes of family unity and contentment despite hardships.""The Cratchit Family is a close-knit family characterized by love and togetherness, celebrating Christmas with simple but joyful traditions.""The Cratchit Family is portrayed as a close-knit group who, despite their hardships, find joy and gratitude during the Christmas gathering.""The Cratchit Family is portrayed as a loving unit celebrating Christmas together, with various members actively participating in the festivities.""The Cratchit family represents a unit bound by love and resilience in the face of adversity, dealing with emotional and financial struggles.""The Cratchit Family is depicted as a warm and loving household celebrating Christmas together, with various members actively participating in the festivities.""The Cratchit Family is depicted as a warm and loving household celebrating Christmas together, with various members actively participating in the festivities.""The Cratchit Family is depicted as a warm and loving household celebrating Christmas together, with various members actively participating in the festivities.""The Cratchit Family is depicted as a warm and loving household celebrating Christmas together, with various members actively participating in the festivities.""The Cratchit Family is depicted as a warm and loving household celebrating Christmas together, with various members actively participating in the festivities."', 'source_id': 'chunk-503f0bfa5453467c7c61d160a3540ecachunk-19d72c57ae3408758b18d2568e86dc6bchunk-7e2e7ebcc19a53b399dc03aded4743e7chunk-83ac129dc9b56f84c46760d153d68e93'}> +2024-10-30 06:52:30,251 - lightrag - INFO - get_node:query:MATCH (n:`THE CHAIN`) RETURN n:result:"The Chain symbolizes the burdens of the past that haunt the spirits, showcasing the consequences of one\'s actions in life.""The Chain represents the burdens of greed and the consequences of one\'s actions, worn by Marley\'s Ghost as a physical manifestation of his regrets.""The Chain represents the burdens of regret and guilt that haunt Marley and serve as a warning to Scrooge about the consequences of a life poorly lived.""The Chain represents the burdens of greed and the consequences of one\'s actions, worn by Marley\'s Ghost as a physical manifestation of his regrets.""The Chain represents the burdens of regret and guilt that haunt Marley and serve as a warning to Scrooge about the consequences of a life poorly lived.""The Chain represents the burdens of greed and the consequences of one\'s actions, worn by Marley\'s Ghost as a physical manifestation of his regrets.""The Chain represents the burdens of regret and guilt that haunt Marley and serve as a warning to Scrooge about the consequences of a life poorly lived.""The Chain represents the burdens of greed and the consequences of one\'s actions, worn by Marley\'s Ghost as a physical manifestation of his regrets.""The Chain represents the burdens of regret and guilt that haunt Marley and serve as a warning to Scrooge about the consequences of a life poorly lived.""The Chain represents the burdens of greed and the consequences of one\'s actions, worn by Marley\'s Ghost as a physical manifestation of his regrets.""The Chain represents the burdens of regret and guilt that haunt Marley and serve as a warning to Scrooge about the consequences of a life poorly lived."', 'source_id': 'chunk-359187e7571bda4b0b08b2e0b6581e52chunk-cb661c37436355ccec2769b1d0350c5fchunk-1aa50206d02ed89418f65f97c6441d1c'}> +2024-10-30 06:52:30,341 - lightrag - INFO - get_node:query:MATCH (n:`THE CLOCK`) RETURN n:result:"The Clock is mentioned as malfunctioning, which symbolizes the confusion and distortion of time that Scrooge experiences during his nighttime visitations.""The Clock serves as a symbol of time passing, reflecting Scrooge\'s disorientation regarding time as he transitions between reality and the supernatural.""The Clock signifies the passage of time during the Domestic Ball and plays a role in marking the end of the celebration.""The Clock serves as a symbol of time passing, reflecting Scrooge\'s disorientation regarding time as he transitions between reality and the supernatural.""The Clock signifies the passage of time during the Domestic Ball and plays a role in marking the end of the celebration.""The Clock serves as a symbol of time passing, reflecting Scrooge\'s disorientation regarding time as he transitions between reality and the supernatural.""The Clock signifies the passage of time during the Domestic Ball and plays a role in marking the end of the celebration.""The Clock serves as a symbol of time passing, reflecting Scrooge\'s disorientation regarding time as he transitions between reality and the supernatural.""The Clock signifies the passage of time during the Domestic Ball and plays a role in marking the end of the celebration.""The Clock serves as a symbol of time passing, reflecting Scrooge\'s disorientation regarding time as he transitions between reality and the supernatural.""The Clock signifies the passage of time during the Domestic Ball and plays a role in marking the end of the celebration."', 'source_id': 'chunk-c7b10789a9cb0af6c553730b29bd9034chunk-b2f98bc7abb0c67d4c86055c7fd72218chunk-cb661c37436355ccec2769b1d0350c5f'}> +2024-10-30 06:52:30,430 - lightrag - INFO - get_node:query:MATCH (n:`SPIRIT`) RETURN n:result:"The Spirit represents a ghostly figure guiding Scrooge through reflections related to a death, illustrating lessons about life and mortality.""The Spirit represents a supernatural being guiding Scrooge through lessons about the consequences of his actions and the future.""The Spirit represents a supernatural entity guiding Scrooge and teaching him lessons about compassion and humanity."The "Spirit" represents a multifaceted supernatural entity that plays a crucial role in guiding Ebenezer Scrooge through profound reflections on his life, death, and human emotions. Central to the narrative is the Spirit\'s embodiment of the essence of Marley, which interacts with Scrooge to highlight themes related to the afterlife and unresolved issues. The Spirit manifests as various figures, most notably the Ghost of Christmas Present, who personifies the themes of generosity, merriment, and the true spirit of the Christmas season.\n\nThroughout Scrooge\'s journey, the Spirit serves as a guide, leading him through memories of his past, reflecting his former self and the influence of time on his character. The entity illustrates important lessons about compassion, social responsibility, and the consequences of his actions, urging Scrooge to confront societal issues and fostering self-awareness.\n\nThe Spirit also emphasizes the somber aspects of life, illustrating lessons about mortality and the inevitability of death, prompting Scrooge to reflect on the implications of his life choices. Overall, the Spirit encapsulates the intersection of compassion, humanity, and the moral lessons inherent in the experience of life, serving as a catalyst for Scrooge\'s transformation and awakening.', 'source_id': 'chunk-e7637ff18c5ded77a68cce0a87883fadchunk-02baee20cc9463dbe08170a8e1043e32chunk-1aa50206d02ed89418f65f97c6441d1cchunk-83ac129dc9b56f84c46760d153d68e93chunk-843b5b2f944c7413d9ca876e2e2f151fchunk-bb21d58d36c6306fd8810ddd51c4a971'}> +2024-10-30 06:52:30,519 - lightrag - INFO - get_node:query:MATCH (n:`DINNER`) RETURN n:result: +2024-10-30 06:52:30,607 - lightrag - INFO - get_node:query:MATCH (n:`THE SHOP`) RETURN n:result:"The Shop is a setting where characters gather to appraise items they have taken from the deceased, reflecting their attitudes towards death and morality.""The Shop is a setting where characters gather to appraise items they have taken from the deceased, reflecting their attitudes towards death and morality.""The Shop is a setting where characters gather to appraise items they have taken from the deceased, reflecting their attitudes towards death and morality.""The Shop is a setting where characters gather to appraise items they have taken from the deceased, reflecting their attitudes towards death and morality.""The Shop is a setting where characters gather to appraise items they have taken from the deceased, reflecting their attitudes towards death and morality."', 'source_id': 'chunk-60fc063c79fc0d4acc91a57e79de04dc'}> +2024-10-30 06:52:30,694 - lightrag - INFO - get_node:query:MATCH (n:`THE COUNTESS`) RETURN n:result:"The Countess is mentioned by Martha, indicating an encounter that highlights the social stratification and aspirations of the Cratchit family.""The Countess is mentioned by Martha, indicating an encounter that highlights the social stratification and aspirations of the Cratchit family.""The Countess is mentioned by Martha, indicating an encounter that highlights the social stratification and aspirations of the Cratchit family.""The Countess is mentioned by Martha, indicating an encounter that highlights the social stratification and aspirations of the Cratchit family.""The Countess is referenced by Martha, showcasing her interaction with figures of higher social status, contrasting with the Cratchit family\'s situation."', 'source_id': 'chunk-19d72c57ae3408758b18d2568e86dc6b'}> +2024-10-30 06:52:30,785 - lightrag - INFO - get_node:query:MATCH (n:`MISCELLANEOUS TATTERS`) RETURN n:result: +2024-10-30 06:52:30,875 - lightrag - INFO - get_node:query:MATCH (n:`THE WAVE`) RETURN n:result: +2024-10-30 06:52:30,964 - lightrag - INFO - get_node:query:MATCH (n:`HAPPINESS`) RETURN n:result: +2024-10-30 06:52:31,052 - lightrag - INFO - get_node:query:MATCH (n:`THE GHOST OF MARLEY`) RETURN n:result:"The Ghost of Marley refers to the apparition that appears to Scrooge, serving as a catalyst for his transformation and moral reckoning.""The Ghost of Marley refers to the apparition that appears to Scrooge, serving as a catalyst for his transformation and moral reckoning.""The Ghost of Marley refers to the apparition that appears to Scrooge, serving as a catalyst for his transformation and moral reckoning.""The Ghost of Marley refers to the apparition that appears to Scrooge, serving as a catalyst for his transformation and moral reckoning.""The Ghost of Marley refers to the apparition that appears to Scrooge, serving as a catalyst for his transformation and moral reckoning."', 'source_id': 'chunk-d9aac3484185ac66045df92214d245d5'}> +2024-10-30 06:52:31,136 - lightrag - INFO - get_node:query:MATCH (n:`COLD WEATHER`) RETURN n:result:"Cold Weather sets the bleak and unforgiving atmosphere, reflecting Scrooge’s own personality and state of mind.""Cold Weather sets the bleak and unforgiving atmosphere, reflecting Scrooge’s own personality and state of mind.""Cold Weather sets the bleak and unforgiving atmosphere, reflecting Scrooge’s own personality and state of mind.""Cold Weather sets the bleak and unforgiving atmosphere, reflecting Scrooge’s own personality and state of mind.""Cold Weather sets the bleak and unforgiving atmosphere, reflecting Scrooge’s own personality and state of mind."', 'source_id': 'chunk-f1a4fbcf1ed86864b9bfd5e8dba4c683chunk-74e2466de2f67fd710ef2f20c0a8d9e0'}> +2024-10-30 06:52:31,223 - lightrag - INFO - get_node:query:MATCH (n:`MERRIMENT`) RETURN n:result:"Merriment embodies the joy and celebration associated with the holiday season and the gathering of family and friends in the narrative.""Merriment embodies the joy and celebration associated with the holiday season and the gathering of family and friends in the narrative.""Merriment embodies the joy and celebration associated with the holiday season and the gathering of family and friends in the narrative.""Merriment embodies the joy and celebration associated with the holiday season and the gathering of family and friends in the narrative.""Merriment refers to the joyful and festive atmosphere that the characters aim to create, opposing Scrooge\'s jaded perspective on social gatherings.""Merriment refers to the joyful and festive atmosphere that the characters aim to create, opposing Scrooge\'s jaded perspective on social gatherings.""Merriment refers to the joyful and festive atmosphere that the characters aim to create, opposing Scrooge\'s jaded perspective on social gatherings.""Merriment refers to the joyful and festive atmosphere that the characters aim to create, opposing Scrooge\'s jaded perspective on social gatherings.""Merriment refers to the joyful and festive atmosphere that the characters aim to create, opposing Scrooge\'s jaded perspective on social gatherings."', 'source_id': 'chunk-773d0df1dd25c356f7b771d780583e09chunk-e7637ff18c5ded77a68cce0a87883fad'}> +2024-10-30 06:52:31,309 - lightrag - INFO - get_node:query:MATCH (n:`WANT`) RETURN n:result:"Want is represented as the second child shown by the Spirit, symbolizing the dire social conditions and needs of the impoverished.""Want represents another societal failing, portrayed as a girl, symbolizing deprivation and yearning for basic needs.""Want is represented as the second child shown by the Spirit, symbolizing the dire social conditions and needs of the impoverished.""Want represents another societal failing, portrayed as a girl, symbolizing deprivation and yearning for basic needs.""Want is represented as the second child shown by the Spirit, symbolizing the dire social conditions and needs of the impoverished.""Want represents another societal failing, portrayed as a girl, symbolizing deprivation and yearning for basic needs.""Want is represented as the second child shown by the Spirit, symbolizing the dire social conditions and needs of the impoverished.""Want represents another societal failing, portrayed as a girl, symbolizing deprivation and yearning for basic needs.""Want is represented as the second child shown by the Spirit, symbolizing the dire social conditions and needs of the impoverished.""Want represents another societal failing, portrayed as a girl, symbolizing deprivation and yearning for basic needs."', 'source_id': 'chunk-02baee20cc9463dbe08170a8e1043e32chunk-e7637ff18c5ded77a68cce0a87883fad'}> +2024-10-30 06:52:31,395 - lightrag - INFO - get_node:query:MATCH (n:`THE SCHOOL`) RETURN n:result: +2024-10-30 06:52:31,481 - lightrag - INFO - get_node:query:MATCH (n:`THE DARK ROOM`) RETURN n:result:"The Dark Room is where the corpse lies, symbolizing isolation and the lack of care for the deceased.""The Dark Room is where the corpse lies, symbolizing isolation and the lack of care for the deceased.""The Dark Room is where the corpse lies, symbolizing isolation and the lack of care for the deceased.""The Dark Room is where the corpse lies, symbolizing isolation and the lack of care for the deceased.""The Dark Room serves as the setting for the scene, enhancing the atmosphere of dread and the theme of impending death."', 'source_id': 'chunk-e1f29eeadc1d8ab46dc8a0bbd3c56b64'}> +2024-10-30 06:52:31,570 - lightrag - INFO - get_node:query:MATCH (n:`CAROLINE`) RETURN n:result:"Caroline is portrayed as a mother filled with hope and emotion regarding her husband’s situation, revealing her character through her reactions to news.""Caroline is portrayed as a mother filled with hope and emotion regarding her husband’s situation, revealing her character through her reactions to news.""Caroline is portrayed as a mother filled with hope and emotion regarding her husband’s situation, revealing her character through her reactions to news.""Caroline is portrayed as a mother filled with hope and emotion regarding her husband’s situation, revealing her character through her reactions to news.""Caroline is portrayed as a mother filled with hope and emotion regarding her husband’s situation, revealing her character through her reactions to news."', 'source_id': 'chunk-83ac129dc9b56f84c46760d153d68e93'}> +2024-10-30 06:52:31,659 - lightrag - INFO - get_node:query:MATCH (n:`EVENING`) RETURN n:result: +2024-10-30 06:52:31,748 - lightrag - INFO - get_node:query:MATCH (n:`THE CRATCHIT FAMILY`) RETURN n:result:"The Cratchit Family consists of Bob, Mrs. Cratchit, Tiny Tim, and their children, characterized by their strong familial bonds and love for one another despite financial struggles.""The Cratchit Family consists of Bob, Mrs. Cratchit, Tiny Tim, and their children, characterized by their strong familial bonds and love for one another despite financial struggles.""The Cratchit Family consists of Bob, Mrs. Cratchit, Tiny Tim, and their children, characterized by their strong familial bonds and love for one another despite financial struggles.""The Cratchit Family consists of Bob, Mrs. Cratchit, Tiny Tim, and their children, characterized by their strong familial bonds and love for one another despite financial struggles.""The Cratchit Family consists of Bob, Mrs. Cratchit, and their children, highlighting themes of familial love and support amidst hardship.""The Cratchit Family is a close-knit family depicted in the text, characterized by love and warmth, celebrating Christmas together despite their difficulties.""The Cratchit Family represents a typical struggling family in the text, highlighting the theme of social disparity during Christmas.""The Cratchit Family is a close-knit family depicted in the text, characterized by love and warmth, celebrating Christmas together despite their difficulties.""The Cratchit Family represents a typical struggling family in the text, highlighting the theme of social disparity during Christmas.""The Cratchit Family is a close-knit family depicted in the text, characterized by love and warmth, celebrating Christmas together despite their difficulties.""The Cratchit Family represents a typical struggling family in the text, highlighting the theme of social disparity during Christmas.""The Cratchit Family is a close-knit family depicted in the text, characterized by love and warmth, celebrating Christmas together despite their difficulties.""The Cratchit Family represents a typical struggling family in the text, highlighting the theme of social disparity during Christmas.""The Cratchit Family is a close-knit family depicted in the text, characterized by love and warmth, celebrating Christmas together despite their difficulties.""The Cratchit Family represents a typical struggling family in the text, highlighting the theme of social disparity during Christmas."', 'source_id': 'chunk-503f0bfa5453467c7c61d160a3540ecachunk-90d5764e301321c087f5a8f78b73a145chunk-1d4b58de5429cd1261370c231c8673e8'}> +2024-10-30 06:52:31,842 - lightrag - INFO - get_node:query:MATCH (n:`TINY TIM`) RETURN n:result:chunk-19d72c57ae3408758b18d2568e86dc6bchunk-503f0bfa5453467c7c61d160a3540ecachunk-91572b3cd42786ba4cb2f180ca25cbf4chunk-9e3921da66da5d761ab73cd849af6c43chunk-8f738cb25d60a7dab782162d9d0a25edchunk-94bea83e7153fc2064aa382b494936a1chunk-83ac129dc9b56f84c46760d153d68e93chunk-7e2e7ebcc19a53b399dc03aded4743e7chunk-1d4b58de5429cd1261370c231c8673e8'}> +2024-10-30 06:52:31,932 - lightrag - INFO - get_node:query:MATCH (n:`BOB CRATCHIT`) RETURN n:result:chunk-90b95db5c53e4364a6bee36b7aa4d70fchunk-d9aac3484185ac66045df92214d245d5chunk-19d72c57ae3408758b18d2568e86dc6bchunk-503f0bfa5453467c7c61d160a3540ecachunk-91572b3cd42786ba4cb2f180ca25cbf4chunk-9e3921da66da5d761ab73cd849af6c43chunk-94bea83e7153fc2064aa382b494936a1chunk-83ac129dc9b56f84c46760d153d68e93chunk-7e2e7ebcc19a53b399dc03aded4743e7chunk-1d4b58de5429cd1261370c231c8673e8'}> +2024-10-30 06:52:32,063 - lightrag - INFO - _find_node_degree:query: + MATCH (n:`TIME`) RETURN COUNT{ (n)--() } AS totalEdgeCount :result:0 -2024-10-29 15:34:04,408 - lightrag - INFO - _find_node_degree:query: - MATCH (n:`THE CANDLE-LIGHT`) +2024-10-30 06:52:32,229 - lightrag - INFO - _find_node_degree:query: + MATCH (n:`THE DEATH`) RETURN COUNT{ (n)--() } AS totalEdgeCount :result:0 -2024-10-29 15:34:04,577 - lightrag - INFO - _find_node_degree:query: - MATCH (n:`POVERTY`) +2024-10-30 06:52:32,398 - lightrag - INFO - _find_node_degree:query: + MATCH (n:`THE EVENT OF DEATH`) RETURN COUNT{ (n)--() } AS totalEdgeCount :result:1 -2024-10-29 15:34:04,748 - lightrag - INFO - _find_node_degree:query: - MATCH (n:`SUNDAY CLOTHES BOY`) +2024-10-30 06:52:32,568 - lightrag - INFO - _find_node_degree:query: + MATCH (n:`THE TOWN`) RETURN COUNT{ (n)--() } AS totalEdgeCount :result:1 -2024-10-29 15:34:04,917 - lightrag - INFO - _find_node_degree:query: - MATCH (n:`THE SOLITARY CHILD`) +2024-10-30 06:52:32,738 - lightrag - INFO - _find_node_degree:query: + MATCH (n:`CHRISTMAS`) + RETURN COUNT{ (n)--() } AS totalEdgeCount + :result:25 +2024-10-30 06:52:32,908 - lightrag - INFO - _find_node_degree:query: + MATCH (n:`HOPE`) + RETURN COUNT{ (n)--() } AS totalEdgeCount + :result:2 +2024-10-30 06:52:33,085 - lightrag - INFO - _find_node_degree:query: + MATCH (n:`CLOCK'S STRIKE`) RETURN COUNT{ (n)--() } AS totalEdgeCount :result:0 -2024-10-29 15:34:05,087 - lightrag - INFO - _find_node_degree:query: - MATCH (n:`CITY`) +2024-10-30 06:52:33,250 - lightrag - INFO - _find_node_degree:query: + MATCH (n:`THE COLD AIR`) RETURN COUNT{ (n)--() } AS totalEdgeCount - :result:1 -2024-10-29 15:34:05,251 - lightrag - INFO - _find_node_degree:query: - MATCH (n:`FEARFUL PLACE`) + :result:0 +2024-10-30 06:52:33,418 - lightrag - INFO - _find_node_degree:query: + MATCH (n:`THE STOLEN GOODS`) RETURN COUNT{ (n)--() } AS totalEdgeCount :result:0 -2024-10-29 15:34:05,422 - lightrag - INFO - _find_node_degree:query: - MATCH (n:`IRON CABLE`) +2024-10-30 06:52:33,588 - lightrag - INFO - _find_node_degree:query: + MATCH (n:`THE SPECTRE`) RETURN COUNT{ (n)--() } AS totalEdgeCount :result:0 -2024-10-29 15:34:05,588 - lightrag - INFO - _find_node_degree:query: - MATCH (n:`SPIRIT`) +2024-10-30 06:52:33,756 - lightrag - INFO - _find_node_degree:query: + MATCH (n:`DEATH`) + RETURN COUNT{ (n)--() } AS totalEdgeCount + :result:4 +2024-10-30 06:52:33,925 - lightrag - INFO - _find_node_degree:query: + MATCH (n:`THE BED`) + RETURN COUNT{ (n)--() } AS totalEdgeCount + :result:2 +2024-10-30 06:52:34,093 - lightrag - INFO - _find_node_degree:query: + MATCH (n:`JUDGMENT`) RETURN COUNT{ (n)--() } AS totalEdgeCount - :result:9 -2024-10-29 15:34:05,758 - lightrag - INFO - _find_node_degree:query: - MATCH (n:`THE SETTING SUN`) + :result:0 +2024-10-30 06:52:34,264 - lightrag - INFO - _find_node_degree:query: + MATCH (n:`CLOCK`) RETURN COUNT{ (n)--() } AS totalEdgeCount :result:1 -2024-10-29 15:34:05,930 - lightrag - INFO - _find_node_degree:query: - MATCH (n:`KEYS`) +2024-10-30 06:52:34,434 - lightrag - INFO - _find_node_degree:query: + MATCH (n:`SCROOGE`) + RETURN COUNT{ (n)--() } AS totalEdgeCount + :result:151 +2024-10-30 06:52:34,601 - lightrag - INFO - _find_node_degree:query: + MATCH (n:`THE MEETING`) RETURN COUNT{ (n)--() } AS totalEdgeCount :result:0 -2024-10-29 15:34:06,100 - lightrag - INFO - _find_node_degree:query: - MATCH (n:`THE CLOTHES AND ITEMS`) +2024-10-30 06:52:34,777 - lightrag - INFO - _find_node_degree:query: + MATCH (n:`THE GHOST`) + RETURN COUNT{ (n)--() } AS totalEdgeCount + :result:6 +2024-10-30 06:52:34,955 - lightrag - INFO - _find_node_degree:query: + MATCH (n:`MARLEY`) + RETURN COUNT{ (n)--() } AS totalEdgeCount + :result:5 +2024-10-30 06:52:35,131 - lightrag - INFO - _find_node_degree:query: + MATCH (n:`THE BUNDLE`) + RETURN COUNT{ (n)--() } AS totalEdgeCount + :result:1 +2024-10-30 06:52:35,303 - lightrag - INFO - _find_node_degree:query: + MATCH (n:`THE RAGS`) RETURN COUNT{ (n)--() } AS totalEdgeCount :result:0 -2024-10-29 15:34:06,270 - lightrag - INFO - _find_node_degree:query: - MATCH (n:`AVARICE`) +2024-10-30 06:52:35,470 - lightrag - INFO - _find_node_degree:query: + MATCH (n:`SNOW`) RETURN COUNT{ (n)--() } AS totalEdgeCount :result:0 -2024-10-29 15:34:06,443 - lightrag - INFO - _find_node_degree:query: - MATCH (n:`THE FIREPLACE`) +2024-10-30 06:52:35,643 - lightrag - INFO - _find_node_degree:query: + MATCH (n:`THE FUNERAL`) + RETURN COUNT{ (n)--() } AS totalEdgeCount + :result:2 +2024-10-30 06:52:35,815 - lightrag - INFO - _find_node_degree:query: + MATCH (n:`MARTHA`) + RETURN COUNT{ (n)--() } AS totalEdgeCount + :result:5 +2024-10-30 06:52:35,985 - lightrag - INFO - _find_node_degree:query: + MATCH (n:`THE MOTHER`) + RETURN COUNT{ (n)--() } AS totalEdgeCount + :result:5 +2024-10-30 06:52:36,161 - lightrag - INFO - _find_node_degree:query: + MATCH (n:`DING DONG`) RETURN COUNT{ (n)--() } AS totalEdgeCount :result:0 -2024-10-29 15:34:06,621 - lightrag - INFO - _find_node_degree:query: - MATCH (n:`WANT`) +2024-10-30 06:52:36,335 - lightrag - INFO - _find_node_degree:query: + MATCH (n:`THE HOUSE`) + RETURN COUNT{ (n)--() } AS totalEdgeCount + :result:2 +2024-10-30 06:52:36,500 - lightrag - INFO - _find_node_degree:query: + MATCH (n:`THE DEBT`) RETURN COUNT{ (n)--() } AS totalEdgeCount :result:1 -2024-10-29 15:34:06,790 - lightrag - INFO - _find_node_degree:query: - MATCH (n:`THE DAUGHTER`) +2024-10-30 06:52:36,671 - lightrag - INFO - _find_node_degree:query: + MATCH (n:`COLD`) + RETURN COUNT{ (n)--() } AS totalEdgeCount + :result:0 +2024-10-30 06:52:36,841 - lightrag - INFO - _find_node_degree:query: + MATCH (n:`THE FOG AND FROST`) + RETURN COUNT{ (n)--() } AS totalEdgeCount + :result:2 +2024-10-30 06:52:37,011 - lightrag - INFO - _find_node_degree:query: + MATCH (n:`LONDON`) RETURN COUNT{ (n)--() } AS totalEdgeCount :result:1 -2024-10-29 15:34:06,962 - lightrag - INFO - _find_node_degree:query: - MATCH (n:`CHRISTMAS-TIME`) +2024-10-30 06:52:37,182 - lightrag - INFO - _find_node_degree:query: + MATCH (n:`CITY`) RETURN COUNT{ (n)--() } AS totalEdgeCount :result:2 -2024-10-29 15:34:07,132 - lightrag - INFO - _find_node_degree:query: - MATCH (n:`THE BED`) +2024-10-30 06:52:37,352 - lightrag - INFO - _find_node_degree:query: + MATCH (n:`THE DYING FLAME`) RETURN COUNT{ (n)--() } AS totalEdgeCount :result:1 -2024-10-29 15:34:07,306 - lightrag - INFO - _find_node_degree:query: - MATCH (n:`SHADOW OF HIMSELF`) +2024-10-30 06:52:37,523 - lightrag - INFO - _find_node_degree:query: + MATCH (n:`THE PHANTOM`) + RETURN COUNT{ (n)--() } AS totalEdgeCount + :result:2 +2024-10-30 06:52:37,692 - lightrag - INFO - _find_node_degree:query: + MATCH (n:`JOE`) + RETURN COUNT{ (n)--() } AS totalEdgeCount + :result:3 +2024-10-30 06:52:37,863 - lightrag - INFO - _find_node_degree:query: + MATCH (n:`WINDING RIVER`) + RETURN COUNT{ (n)--() } AS totalEdgeCount + :result:1 +2024-10-30 06:52:38,037 - lightrag - INFO - _find_node_degree:query: + MATCH (n:`SPECTRE`) RETURN COUNT{ (n)--() } AS totalEdgeCount :result:1 -2024-10-29 15:34:07,477 - lightrag - INFO - _find_node_degree:query: - MATCH (n:`KIND WORD`) +2024-10-30 06:52:38,206 - lightrag - INFO - _find_node_degree:query: + MATCH (n:`THE VISION`) RETURN COUNT{ (n)--() } AS totalEdgeCount :result:0 -2024-10-29 15:34:07,641 - lightrag - INFO - _find_node_degree:query: - MATCH (n:`GAOL`) +2024-10-30 06:52:38,374 - lightrag - INFO - _find_node_degree:query: + MATCH (n:`THE FAMILY`) RETURN COUNT{ (n)--() } AS totalEdgeCount :result:1 -2024-10-29 15:34:07,810 - lightrag - INFO - _find_node_degree:query: - MATCH (n:`IGNORANCE`) +2024-10-30 06:52:38,542 - lightrag - INFO - _find_node_degree:query: + MATCH (n:`THE ACCUSATION`) RETURN COUNT{ (n)--() } AS totalEdgeCount - :result:3 -2024-10-29 15:34:07,984 - lightrag - INFO - _find_node_degree:query: - MATCH (n:`CHILDREN`) + :result:0 +2024-10-30 06:52:38,711 - lightrag - INFO - _find_node_degree:query: + MATCH (n:`CRATCHIT FAMILY`) + RETURN COUNT{ (n)--() } AS totalEdgeCount + :result:13 +2024-10-30 06:52:38,882 - lightrag - INFO - _find_node_degree:query: + MATCH (n:`THE CHAIN`) + RETURN COUNT{ (n)--() } AS totalEdgeCount + :result:1 +2024-10-30 06:52:39,053 - lightrag - INFO - _find_node_degree:query: + MATCH (n:`THE CLOCK`) RETURN COUNT{ (n)--() } AS totalEdgeCount :result:2 -2024-10-29 15:34:08,153 - lightrag - INFO - _find_node_degree:query: - MATCH (n:`THE ROOM BY DAYLIGHT`) +2024-10-30 06:52:39,224 - lightrag - INFO - _find_node_degree:query: + MATCH (n:`SPIRIT`) + RETURN COUNT{ (n)--() } AS totalEdgeCount + :result:13 +2024-10-30 06:52:39,388 - lightrag - INFO - _find_node_degree:query: + MATCH (n:`DINNER`) + RETURN COUNT{ (n)--() } AS totalEdgeCount + :result:1 +2024-10-30 06:52:39,553 - lightrag - INFO - _find_node_degree:query: + MATCH (n:`THE SHOP`) + RETURN COUNT{ (n)--() } AS totalEdgeCount + :result:1 +2024-10-30 06:52:39,729 - lightrag - INFO - _find_node_degree:query: + MATCH (n:`THE COUNTESS`) + RETURN COUNT{ (n)--() } AS totalEdgeCount + :result:2 +2024-10-30 06:52:39,896 - lightrag - INFO - _find_node_degree:query: + MATCH (n:`MISCELLANEOUS TATTERS`) + RETURN COUNT{ (n)--() } AS totalEdgeCount + :result:0 +2024-10-30 06:52:40,065 - lightrag - INFO - _find_node_degree:query: + MATCH (n:`THE WAVE`) + RETURN COUNT{ (n)--() } AS totalEdgeCount + :result:1 +2024-10-30 06:52:40,233 - lightrag - INFO - _find_node_degree:query: + MATCH (n:`HAPPINESS`) + RETURN COUNT{ (n)--() } AS totalEdgeCount + :result:1 +2024-10-30 06:52:40,407 - lightrag - INFO - _find_node_degree:query: + MATCH (n:`THE GHOST OF MARLEY`) + RETURN COUNT{ (n)--() } AS totalEdgeCount + :result:1 +2024-10-30 06:52:40,577 - lightrag - INFO - _find_node_degree:query: + MATCH (n:`COLD WEATHER`) + RETURN COUNT{ (n)--() } AS totalEdgeCount + :result:1 +2024-10-30 06:52:40,748 - lightrag - INFO - _find_node_degree:query: + MATCH (n:`MERRIMENT`) RETURN COUNT{ (n)--() } AS totalEdgeCount :result:0 -2024-10-29 15:34:08,319 - lightrag - INFO - _find_node_degree:query: - MATCH (n:`THE BOTTLE`) +2024-10-30 06:52:40,920 - lightrag - INFO - _find_node_degree:query: + MATCH (n:`WANT`) + RETURN COUNT{ (n)--() } AS totalEdgeCount + :result:2 +2024-10-30 06:52:41,090 - lightrag - INFO - _find_node_degree:query: + MATCH (n:`THE SCHOOL`) RETURN COUNT{ (n)--() } AS totalEdgeCount :result:0 -2024-10-29 15:34:08,485 - lightrag - INFO - _find_node_degree:query: - MATCH (n:`THE FLANNEL BAG`) +2024-10-30 06:52:41,259 - lightrag - INFO - _find_node_degree:query: + MATCH (n:`THE DARK ROOM`) RETURN COUNT{ (n)--() } AS totalEdgeCount :result:0 -2024-10-29 15:34:08,652 - lightrag - INFO - _find_node_degree:query: - MATCH (n:`A CHRISTMAS CAROL`) +2024-10-30 06:52:41,433 - lightrag - INFO - _find_node_degree:query: + MATCH (n:`CAROLINE`) RETURN COUNT{ (n)--() } AS totalEdgeCount :result:3 -2024-10-29 15:34:08,822 - lightrag - INFO - _find_node_degree:query: - MATCH (n:`THE YOUNG GIRL`) +2024-10-30 06:52:41,603 - lightrag - INFO - _find_node_degree:query: + MATCH (n:`EVENING`) + RETURN COUNT{ (n)--() } AS totalEdgeCount + :result:0 +2024-10-30 06:52:41,772 - lightrag - INFO - _find_node_degree:query: + MATCH (n:`THE CRATCHIT FAMILY`) + RETURN COUNT{ (n)--() } AS totalEdgeCount + :result:2 +2024-10-30 06:52:41,944 - lightrag - INFO - _find_node_degree:query: + MATCH (n:`TINY TIM`) + RETURN COUNT{ (n)--() } AS totalEdgeCount + :result:12 +2024-10-30 06:52:42,117 - lightrag - INFO - _find_node_degree:query: + MATCH (n:`BOB CRATCHIT`) + RETURN COUNT{ (n)--() } AS totalEdgeCount + :result:21 +2024-10-30 06:52:52,843 - lightrag - INFO - get_node:query:MATCH (n:`MARLEY`) RETURN n:result:"Marley is Scrooge\'s deceased business partner whose presence looms over the story, symbolizing the consequences of a life similar to Scrooge\'s.""Marley is Scrooge\'s deceased business partner, whose death is a significant event that sets the tone for the story.""Marley is Scrooge\'s deceased business partner, whose death is mentioned as impactful, having passed seven years prior to the events in the text.""Marley is depicted as a ghost, having a pigtail, waistcoat, tights, and boots, and is central to Scrooge\'s haunting experience."Marley is Scrooge\'s deceased business partner, whose presence looms over the narrative of the story, symbolizing the dire consequences of a life lived without compassion and care for others. His death serves as a significant event that sets the tone for the plot and reflects the overarching themes of regret and the supernatural.\n\nMarley passed away seven years prior to the events depicted, making his spectral appearance even more impactful. Despite being a character who is only mentioned throughout much of the story, his influence on Scrooge is profound, as reflections and memories of Marley shape Scrooge\'s perspective on life and relationships. This ghostly figure is depicted distinctly with a pigtail, waistcoat, tights, and boots, making him central to Scrooge\'s haunting experience.\n\nOverall, Marley represents the weight of past actions and the importance of empathy, acting as a harbinger of transformation for Scrooge. His ghostly manifestation evokes both fear and introspection, ultimately contributing to the moral lessons embedded in the tale."Marley is Scrooge\'s deceased business partner, whose death is a significant event that sets the tone for the story.""Marley is Scrooge\'s deceased business partner, whose death is mentioned as impactful, having passed seven years prior to the events in the text.""Marley is depicted as a ghost, having a pigtail, waistcoat, tights, and boots, and is central to Scrooge\'s haunting experience."', 'source_id': 'chunk-5dac41b3f9eeaf794f0147400b1718cdchunk-89777b838d5447c7bd1ec11282c4ee89chunk-d9aac3484185ac66045df92214d245d5chunk-9c43dac2fcd5b578242d907ea6f8fc7bchunk-843b5b2f944c7413d9ca876e2e2f151f'}> +2024-10-30 06:52:52,931 - lightrag - INFO - get_node:query:MATCH (n:`THE CITY`) RETURN n:result:"The City represents the bustling urban environment where Scrooge reflects on his past, filled with activity and shadowy figures.""The City, from which Scrooge is transported, represents his past life and is contrasted with the open country road that signifies his memories.""The City refers to the broader urban environment in which Scrooge operates and signifies the societal norms and attitudes towards Christmas.""The City represents the bustling urban environment where Scrooge\'s memories unfold, highlighting the contrast between his past and present.""The City refers to the broader urban environment in which Scrooge operates and signifies the societal norms and attitudes towards Christmas.""The City represents the bustling urban environment where Scrooge\'s memories unfold, highlighting the contrast between his past and present.""The City refers to the broader urban environment in which Scrooge operates and signifies the societal norms and attitudes towards Christmas.""The City represents the bustling urban environment where Scrooge\'s memories unfold, highlighting the contrast between his past and present.""The City refers to the broader urban environment in which Scrooge operates and signifies the societal norms and attitudes towards Christmas.""The City represents the bustling urban environment where Scrooge\'s memories unfold, highlighting the contrast between his past and present.""The City refers to the broader urban environment in which Scrooge operates and signifies the societal norms and attitudes towards Christmas.""The City represents the bustling urban environment where Scrooge\'s memories unfold, highlighting the contrast between his past and present."', 'source_id': 'chunk-74e2466de2f67fd710ef2f20c0a8d9e0chunk-c6c248858d1b13ab7ee9ca13c1aeed6bchunk-94bea83e7153fc2064aa382b494936a1chunk-bb21d58d36c6306fd8810ddd51c4a971'}> +2024-10-30 06:52:53,019 - lightrag - INFO - get_node:query:MATCH (n:`BEDLAM`) RETURN n:result:"Bedlam is referenced as a metaphorical expression of madness, illustrating Scrooge\'s disdain for cheerful attitudes he finds absurd.""Bedlam is referenced as a metaphorical expression of madness, illustrating Scrooge\'s disdain for cheerful attitudes he finds absurd.""Bedlam is referenced as a metaphorical expression of madness, illustrating Scrooge\'s disdain for cheerful attitudes he finds absurd.""Bedlam is referenced as a metaphorical expression of madness, illustrating Scrooge\'s disdain for cheerful attitudes he finds absurd.""Bedlam is referenced as a metaphorical place for madness, illustrating Scrooge\'s disdain for the cheerful nature of Christmas and his sense of isolation."', 'source_id': 'chunk-5dac41b3f9eeaf794f0147400b1718cd'}> +2024-10-30 06:52:53,108 - lightrag - INFO - get_node:query:MATCH (n:`MASTER PETER CRATCHIT`) RETURN n:result: +2024-10-30 06:52:53,197 - lightrag - INFO - get_node:query:MATCH (n:`VALENTINE`) RETURN n:result:"Valentine is mentioned as a character associated with Scrooge\'s childhood memories, indicating the depth of his nostalgia.""Valentine is mentioned as a character associated with Scrooge\'s childhood memories, indicating the depth of his nostalgia.""Valentine is mentioned as a character associated with Scrooge\'s childhood memories, indicating the depth of his nostalgia.""Valentine is mentioned as a character associated with Scrooge\'s childhood memories, indicating the depth of his nostalgia.""Valentine is referenced as a brother of a character, and his presence contributes to the holiday memories Scrooge recalls."', 'source_id': 'chunk-8590d9263cd2cd4fa583c432fc54e6c3'}> +2024-10-30 06:52:53,286 - lightrag - INFO - get_node:query:MATCH (n:`BRIDGE`) RETURN n:result: +2024-10-30 06:52:53,373 - lightrag - INFO - get_node:query:MATCH (n:`FROST`) RETURN n:result: +2024-10-30 06:52:53,461 - lightrag - INFO - get_node:query:MATCH (n:`THE CHRISTMAS DINNER`) RETURN n:result: +2024-10-30 06:52:53,546 - lightrag - INFO - get_node:query:MATCH (n:`THE POULTERER'S`) RETURN n:result:"The Poulterer\'s is a shop mentioned by Scrooge, relevant in the context of his generous actions towards the Cratchit family.""The Poulterer\'s is a shop mentioned by Scrooge, relevant in the context of his generous actions towards the Cratchit family.""The Poulterer\'s is a shop mentioned by Scrooge, relevant in the context of his generous actions towards the Cratchit family.""The Poulterer\'s is a shop mentioned by Scrooge, relevant in the context of his generous actions towards the Cratchit family.""The Poulterer\'s is a shop where Scrooge intends to buy a turkey for the Cratchit family."', 'source_id': 'chunk-90b95db5c53e4364a6bee36b7aa4d70f'}> +2024-10-30 06:52:53,631 - lightrag - INFO - get_node:query:MATCH (n:`CHRISTMAS CAROL`) RETURN n:result:"The Christmas Carol is a musical tradition performed during the Christmas season, symbolizing goodwill and festive spirit."', 'source_id': 'chunk-90d5764e301321c087f5a8f78b73a145chunk-8590d9263cd2cd4fa583c432fc54e6c3'}> +2024-10-30 06:52:53,725 - lightrag - INFO - get_node:query:MATCH (n:`JOE`) RETURN n:result:"Joe is a marine-store dealer depicted as receiving stolen goods, illustrating the consequences of crime and the darker sides of society.""Joe is portrayed as a character engaged in a conversation about the deceased, displaying a mix of humor and practicality in dealing with the possessions of the dead.""Joe is a character who interacts with others, demonstrating a sense of curiosity and disbelief regarding certain situations and comments.""Joe is a marine-store dealer and receiver of stolen goods, indicative of the darker, more unscrupulous elements of society.""Joe is an old character who engages in conversation about the deceased man\'s belongings, revealing his pragmatic and somewhat cynical perspective on life and death.""Joe is a character who interacts with others, demonstrating a sense of curiosity and disbelief regarding certain situations and comments.""Joe is a marine-store dealer and receiver of stolen goods, indicative of the darker, more unscrupulous elements of society.""Joe is an old character who engages in conversation about the deceased man\'s belongings, revealing his pragmatic and somewhat cynical perspective on life and death.""Joe is a character who interacts with others, demonstrating a sense of curiosity and disbelief regarding certain situations and comments.""Joe is a marine-store dealer and receiver of stolen goods, indicative of the darker, more unscrupulous elements of society.""Joe is an old character who engages in conversation about the deceased man\'s belongings, revealing his pragmatic and somewhat cynical perspective on life and death.""Joe is a character who interacts with others, demonstrating a sense of curiosity and disbelief regarding certain situations and comments.""Joe is a marine-store dealer and receiver of stolen goods, indicative of the darker, more unscrupulous elements of society.""Joe is an old character who engages in conversation about the deceased man\'s belongings, revealing his pragmatic and somewhat cynical perspective on life and death.""Joe is a character who interacts with others, demonstrating a sense of curiosity and disbelief regarding certain situations and comments.""Joe is a marine-store dealer and receiver of stolen goods, indicative of the darker, more unscrupulous elements of society.""Joe is an old character who engages in conversation about the deceased man\'s belongings, revealing his pragmatic and somewhat cynical perspective on life and death."', 'source_id': 'chunk-e1f29eeadc1d8ab46dc8a0bbd3c56b64chunk-9e3921da66da5d761ab73cd849af6c43chunk-89777b838d5447c7bd1ec11282c4ee89'}> +2024-10-30 06:52:53,809 - lightrag - INFO - get_node:query:MATCH (n:`SCROOGE'S NIECE`) RETURN n:result:"Scrooge\'s Niece is a lively character who expresses indignation towards Scrooge\'s disdain for Christmas and embodies warmth and charm, showing affection and concern for family.""Scrooge\'s Niece is a lively character who expresses indignation towards Scrooge\'s disdain for Christmas and embodies warmth and charm, showing affection and concern for family.""Scrooge\'s Niece is a lively character who expresses indignation towards Scrooge\'s disdain for Christmas and embodies warmth and charm, showing affection and concern for family.""Scrooge\'s Niece is a lively character who expresses indignation towards Scrooge\'s disdain for Christmas and embodies warmth and charm, showing affection and concern for family.""Scrooge\'s Niece is depicted as a beautiful and lively character who expresses strong opinions about her uncle Scrooge.""Scrooge\'s niece is depicted as a joyful participant in the evening\'s festivities, engaging in games and music.""Scrooge\'s niece is a central figure in the family gathering, enjoying the festivities and games, showing a loving and vibrant personality.""Scrooge\'s niece is a central figure in the family gathering, enjoying the festivities and games, showing a loving and vibrant personality.""Scrooge\'s niece is a central figure in the family gathering, enjoying the festivities and games, showing a loving and vibrant personality.""Scrooge\'s niece is a central figure in the family gathering, enjoying the festivities and games, showing a loving and vibrant personality.""Scrooge\'s niece is a central figure in the family gathering, enjoying the festivities and games, showing a loving and vibrant personality."', 'source_id': 'chunk-773d0df1dd25c356f7b771d780583e09chunk-43c9bee23adfa77aa9dedd22401bba7d'}> +2024-10-30 06:52:53,895 - lightrag - INFO - get_node:query:MATCH (n:`THE CLERK`) RETURN n:result:"The Clerk is an employee of Scrooge, who quietly awaits the end of the workday and represents the working class.""The Clerk works in Scrooge\'s counting-house, depicted as miserable and diminished under Scrooge\'s strict management."', 'source_id': 'chunk-90d5764e301321c087f5a8f78b73a145chunk-74e2466de2f67fd710ef2f20c0a8d9e0chunk-5dac41b3f9eeaf794f0147400b1718cd'}> +2024-10-30 06:52:53,982 - lightrag - INFO - get_node:query:MATCH (n:`THE LORD`) RETURN n:result:"The Lord is referenced in Martha\'s account of her work, underscoring the contrast between the Cratchit family\'s modest means and the nobility.""The Lord is referenced in Martha\'s account of her work, underscoring the contrast between the Cratchit family\'s modest means and the nobility.""The Lord is referenced in Martha\'s account of her work, underscoring the contrast between the Cratchit family\'s modest means and the nobility.""The Lord is referenced in Martha\'s account of her work, underscoring the contrast between the Cratchit family\'s modest means and the nobility.""The Lord is referenced in Martha\'s account of her work, underscoring the contrast between the Cratchit family\'s modest means and the nobility."', 'source_id': 'chunk-19d72c57ae3408758b18d2568e86dc6b'}> +2024-10-30 06:52:54,069 - lightrag - INFO - get_node:query:MATCH (n:`THE SHIP`) RETURN n:result:"The Ship is a vessel where the crew shares moments of kindness and reflection during Christmas, symbolizing unity and camaraderie.""The Ship is a vessel where the crew shares moments of kindness and reflection during Christmas, symbolizing unity and camaraderie.""The Ship is a vessel where the crew shares moments of kindness and reflection during Christmas, symbolizing unity and camaraderie.""The Ship is a vessel where the crew shares moments of kindness and reflection during Christmas, symbolizing unity and camaraderie.""The Ship is described as a vessel on the open sea, where the crew reflects on Christmas, showcasing camaraderie and a sense of belonging."', 'source_id': 'chunk-91614df5cb74cbe5e109a338a82041e9'}> +2024-10-30 06:52:54,158 - lightrag - INFO - get_node:query:MATCH (n:`TINY TIM`) RETURN n:result:chunk-19d72c57ae3408758b18d2568e86dc6bchunk-503f0bfa5453467c7c61d160a3540ecachunk-91572b3cd42786ba4cb2f180ca25cbf4chunk-9e3921da66da5d761ab73cd849af6c43chunk-8f738cb25d60a7dab782162d9d0a25edchunk-94bea83e7153fc2064aa382b494936a1chunk-83ac129dc9b56f84c46760d153d68e93chunk-7e2e7ebcc19a53b399dc03aded4743e7chunk-1d4b58de5429cd1261370c231c8673e8'}> +2024-10-30 06:52:54,247 - lightrag - INFO - get_node:query:MATCH (n:`SMOKING BISHOP`) RETURN n:result: +2024-10-30 06:52:54,336 - lightrag - INFO - get_node:query:MATCH (n:`FRIDAY`) RETURN n:result:"Friday is another character from the story of Robin Crusoe, noted in Scrooge\'s memories, indicating the impact of literature on his nostalgia.""Friday is another character from the story of Robin Crusoe, noted in Scrooge\'s memories, indicating the impact of literature on his nostalgia.""Friday is another character from the story of Robin Crusoe, noted in Scrooge\'s memories, indicating the impact of literature on his nostalgia.""Friday is another character from the story of Robin Crusoe, noted in Scrooge\'s memories, indicating the impact of literature on his nostalgia.""Friday is another character from the story of Robin Crusoe, noted in Scrooge\'s memories, indicating the impact of literature on his nostalgia."', 'source_id': 'chunk-8590d9263cd2cd4fa583c432fc54e6c3'}> +2024-10-30 06:52:54,424 - lightrag - INFO - get_node:query:MATCH (n:`LITTLE FAN`) RETURN n:result: +2024-10-30 06:52:54,508 - lightrag - INFO - get_node:query:MATCH (n:`GROCERS'`) RETURN n:result: +2024-10-30 06:52:54,595 - lightrag - INFO - get_node:query:MATCH (n:`OLD SCROOGE`) RETURN n:result: +2024-10-30 06:52:54,682 - lightrag - INFO - get_node:query:MATCH (n:`SUNDAY CLOTHES BOY`) RETURN n:result: +2024-10-30 06:52:54,769 - lightrag - INFO - get_node:query:MATCH (n:`THE LOW-BROWED SHOP`) RETURN n:result:"The Low-Browed Shop is a grim establishment in the town dealing in various unwanted goods, representing decay and desperation.""The Low-Browed Shop is a grim establishment in the town dealing in various unwanted goods, representing decay and desperation.""The Low-Browed Shop is a grim establishment in the town dealing in various unwanted goods, representing decay and desperation.""The Low-Browed Shop is a grim establishment in the town dealing in various unwanted goods, representing decay and desperation.""The Low-Browed Shop is a setting that symbolizes neglect and degradation, filled with discarded items and representing societal decay."', 'source_id': 'chunk-f1a4fbcf1ed86864b9bfd5e8dba4c683'}> +2024-10-30 06:52:54,857 - lightrag - INFO - get_node:query:MATCH (n:`WANT`) RETURN n:result:"Want is represented as the second child shown by the Spirit, symbolizing the dire social conditions and needs of the impoverished.""Want represents another societal failing, portrayed as a girl, symbolizing deprivation and yearning for basic needs.""Want is represented as the second child shown by the Spirit, symbolizing the dire social conditions and needs of the impoverished.""Want represents another societal failing, portrayed as a girl, symbolizing deprivation and yearning for basic needs.""Want is represented as the second child shown by the Spirit, symbolizing the dire social conditions and needs of the impoverished.""Want represents another societal failing, portrayed as a girl, symbolizing deprivation and yearning for basic needs.""Want is represented as the second child shown by the Spirit, symbolizing the dire social conditions and needs of the impoverished.""Want represents another societal failing, portrayed as a girl, symbolizing deprivation and yearning for basic needs.""Want is represented as the second child shown by the Spirit, symbolizing the dire social conditions and needs of the impoverished.""Want represents another societal failing, portrayed as a girl, symbolizing deprivation and yearning for basic needs."', 'source_id': 'chunk-02baee20cc9463dbe08170a8e1043e32chunk-e7637ff18c5ded77a68cce0a87883fad'}> +2024-10-30 06:52:54,945 - lightrag - INFO - get_node:query:MATCH (n:`THE FOG AND FROST`) RETURN n:result: +2024-10-30 06:52:55,030 - lightrag - INFO - get_node:query:MATCH (n:`FOG`) RETURN n:result:"Fog is a weather phenomenon that adds to the bleak atmosphere, reflecting the obscurity and confusion in Scrooge\'s life.""Fog represents the obscured visibility and confusion in Scrooge\'s surroundings, enhancing the atmosphere of uncertainty and apprehension.""Fog represents the obscurity and isolation in the environment, mirroring Scrooge’s emotional distance and isolation from society.""Fog represents the obscured visibility and confusion in Scrooge\'s surroundings, enhancing the atmosphere of uncertainty and apprehension.""Fog represents the obscurity and isolation in the environment, mirroring Scrooge’s emotional distance and isolation from society.""Fog represents the obscured visibility and confusion in Scrooge\'s surroundings, enhancing the atmosphere of uncertainty and apprehension.""Fog represents the obscurity and isolation in the environment, mirroring Scrooge’s emotional distance and isolation from society.""Fog represents the obscured visibility and confusion in Scrooge\'s surroundings, enhancing the atmosphere of uncertainty and apprehension.""Fog represents the obscurity and isolation in the environment, mirroring Scrooge’s emotional distance and isolation from society.""Fog represents the obscured visibility and confusion in Scrooge\'s surroundings, enhancing the atmosphere of uncertainty and apprehension.""Fog represents the obscurity and isolation in the environment, mirroring Scrooge’s emotional distance and isolation from society."', 'source_id': 'chunk-c7b10789a9cb0af6c553730b29bd9034chunk-d9aac3484185ac66045df92214d245d5chunk-74e2466de2f67fd710ef2f20c0a8d9e0'}> +2024-10-30 06:52:55,118 - lightrag - INFO - get_node:query:MATCH (n:`THE WINDOW`) RETURN n:result:"The Window is a physical presence in Scrooge\'s chamber that he approaches to observe the supernatural occurrences outside.""The Window is a physical presence in Scrooge\'s chamber that he approaches to observe the supernatural occurrences outside.""The Window is a physical presence in Scrooge\'s chamber that he approaches to observe the supernatural occurrences outside.""The Window is a physical presence in Scrooge\'s chamber that he approaches to observe the supernatural occurrences outside.""The Window represents a threshold between the visible and invisible worlds, allowing Scrooge a view into the realm of spirits and their lamentations."', 'source_id': 'chunk-cb661c37436355ccec2769b1d0350c5f'}> +2024-10-30 06:52:55,208 - lightrag - INFO - get_node:query:MATCH (n:`BELLE`) RETURN n:result:"Belle is Scrooge\'s former love, evidence of care and affection, now mentioned in the context of Scrooge’s memories.""Belle is Scrooge\'s former love, evidence of care and affection, now mentioned in the context of Scrooge’s memories.""Belle is Scrooge\'s former love, evidence of care and affection, now mentioned in the context of Scrooge’s memories.""Belle is Scrooge\'s former love, evidence of care and affection, now mentioned in the context of Scrooge’s memories.""Belle is Scrooge\'s former love, evidence of care and affection, now mentioned in the context of Scrooge’s memories."', 'source_id': 'chunk-da2472b4ef2a535b62908f14d0fb0ca9'}> +2024-10-30 06:52:55,298 - lightrag - INFO - get_node:query:MATCH (n:`BOB`) RETURN n:result:"Bob is referenced humorously by Scrooge in the context of a joke regarding a large turkey.""Bob is likely referenced as a character who may receive the turkey sent by Scrooge, highlighting the theme of generosity.""Bob is likely referenced as a character who may receive the turkey sent by Scrooge, highlighting the theme of generosity.""Bob is likely referenced as a character who may receive the turkey sent by Scrooge, highlighting the theme of generosity.""Bob is likely referenced as a character who may receive the turkey sent by Scrooge, highlighting the theme of generosity.""Bob is likely referenced as a character who may receive the turkey sent by Scrooge, highlighting the theme of generosity."', 'source_id': 'chunk-91572b3cd42786ba4cb2f180ca25cbf4chunk-8f738cb25d60a7dab782162d9d0a25ed'}> +2024-10-30 06:52:55,385 - lightrag - INFO - get_node:query:MATCH (n:`FELLOW-BEINGS`) RETURN n:result: +2024-10-30 06:52:55,474 - lightrag - INFO - get_node:query:MATCH (n:`CHRISTMAS`) RETURN n:result:chunk-c6c248858d1b13ab7ee9ca13c1aeed6bchunk-99b0ec7f7e006561352b5d65e849611dchunk-02baee20cc9463dbe08170a8e1043e32chunk-503f0bfa5453467c7c61d160a3540ecachunk-91572b3cd42786ba4cb2f180ca25cbf4chunk-8f738cb25d60a7dab782162d9d0a25edchunk-94bea83e7153fc2064aa382b494936a1chunk-1d4b58de5429cd1261370c231c8673e8chunk-74e2466de2f67fd710ef2f20c0a8d9e0chunk-89777b838d5447c7bd1ec11282c4ee89chunk-90d5764e301321c087f5a8f78b73a145chunk-91614df5cb74cbe5e109a338a82041e9chunk-54bdd22db1f84a965b5f4c06c9216d8dchunk-773d0df1dd25c356f7b771d780583e09chunk-5dac41b3f9eeaf794f0147400b1718cdchunk-43c9bee23adfa77aa9dedd22401bba7dchunk-da2472b4ef2a535b62908f14d0fb0ca9chunk-8590d9263cd2cd4fa583c432fc54e6c3'}> +2024-10-30 06:52:55,558 - lightrag - INFO - get_node:query:MATCH (n:`SPIRIT OF CHRISTMAS PRESENT`) RETURN n:result: +2024-10-30 06:52:55,644 - lightrag - INFO - get_node:query:MATCH (n:`MRS. CRATCHIT`) RETURN n:result:"Mrs. Cratchit is Bob\'s wife, proud of her cooking skills, particularly the Christmas pudding, and plays a central role in the family\'s holiday celebration.""Mrs. Cratchit is Bob\'s wife, who expresses care for her family and shares in the emotional moments surrounding Tiny Tim\'s health.""Mrs. Cratchit is portrayed as outspoken and resentful towards Scrooge, yet ultimately participates in the Christmas festivities for her family\'s sake.""Mrs. Cratchit is the mother of the Cratchit family, depicted as nurturing and energetic, managing the Christmas preparations and caring for her children.""Mrs. Cratchit is the wife of Bob Cratchit, who supports her family and embodies warmth and resilience despite their struggles.""Mrs. Cratchit, the wife of Bob, is industrious and caring, focused on the well-being of her family."Mrs. Cratchit is Bob Cratchit\'s devoted and hardworking wife, who plays a vital role in nurturing their family. She is characterized by her strong dedication to creating a joyous atmosphere in their home, despite the financial difficulties they face. As the mother of the Cratchit family, Mrs. Cratchit is nurturing and energetic, diligently managing Christmas preparations and ensuring that her children are well taken care of.\n\nProud of her cooking skills, particularly her Christmas pudding, Mrs. Cratchit showcases her commitment to family traditions. During the holiday festivities, she is actively involved, embodying warmth and resilience as she prepares meals and engages in celebrations that lift her family’s spirits. Her love for her family is evident as she expresses concern for her children, especially Tiny Tim, whose health brings emotional depth to their Christmas gathering.\n\nWhile she is portrayed as outspoken and harboring resentment towards Scrooge, she ultimately puts aside her feelings to fully participate in the Christmas festivities for the sake of her family. Her character embodies a blend of strength and vulnerability, reflecting both her pride and her struggles, and she remains a pivotal figure in the family\'s emotional dynamics during the holiday season.', 'source_id': 'chunk-b0f459f5af1c3a5e0b92cbe4ee48b77bchunk-19d72c57ae3408758b18d2568e86dc6bchunk-503f0bfa5453467c7c61d160a3540ecachunk-91572b3cd42786ba4cb2f180ca25cbf4chunk-9e3921da66da5d761ab73cd849af6c43chunk-7e2e7ebcc19a53b399dc03aded4743e7chunk-1d4b58de5429cd1261370c231c8673e8'}> +2024-10-30 06:52:55,733 - lightrag - INFO - get_node:query:MATCH (n:`STREET`) RETURN n:result: +2024-10-30 06:52:55,819 - lightrag - INFO - get_node:query:MATCH (n:`THE PRESENT`) RETURN n:result:"The Present emphasizes the importance of living in the moment and embracing current opportunities for change.""The Present emphasizes the importance of living in the moment and embracing current opportunities for change.""The Present emphasizes the importance of living in the moment and embracing current opportunities for change.""The Present emphasizes the importance of living in the moment and embracing current opportunities for change.""The Present represents the current moment in Scrooge\'s life that he must recognize and change to achieve redemption."', 'source_id': 'chunk-91572b3cd42786ba4cb2f180ca25cbf4'}> +2024-10-30 06:52:55,907 - lightrag - INFO - get_node:query:MATCH (n:`THE HOUSE`) RETURN n:result:"The House is the setting for Scrooge\'s encounters, characterized by its darkness, the creaking sounds, and the presence of the ghost.""The House is the setting for Scrooge\'s encounters, characterized by its darkness, the creaking sounds, and the presence of the ghost.""The House is the setting for Scrooge\'s encounters, characterized by its darkness, the creaking sounds, and the presence of the ghost.""The House is the setting for Scrooge\'s encounters, characterized by its darkness, the creaking sounds, and the presence of the ghost.""The House is the setting for the Christmas celebration and interactions among the characters, embodying warmth and family togetherness.""The House is the setting where Scrooge experiences the haunting, with a description of its features contributing to the eerie atmosphere."', 'source_id': 'chunk-da2472b4ef2a535b62908f14d0fb0ca9chunk-9c43dac2fcd5b578242d907ea6f8fc7b'}> +2024-10-30 06:52:55,997 - lightrag - INFO - get_node:query:MATCH (n:`CLERK`) RETURN n:result:"The Clerk is a minor character who provides a contrast to Scrooge\'s character, expressing warmth and kindness during the holiday season.""The Clerk is a minor character who provides a contrast to Scrooge\'s character, expressing warmth and kindness during the holiday season.""The Clerk is a minor character who provides a contrast to Scrooge\'s character, expressing warmth and kindness during the holiday season.""The Clerk is a minor character who provides a contrast to Scrooge\'s character, expressing warmth and kindness during the holiday season.""The Clerk is an unnamed character who serves Scrooge, exhibiting a hopeful disposition despite Scrooge\'s ill-tempered management."', 'source_id': 'chunk-d9aac3484185ac66045df92214d245d5chunk-5dac41b3f9eeaf794f0147400b1718cd'}> +2024-10-30 06:52:56,090 - lightrag - INFO - get_node:query:MATCH (n:`THE LIGHTHOUSE`) RETURN n:result:"The Lighthouse serves as a solitary structure representing hope and guidance amid a stormy sea, populated by individuals celebrating Christmas.""The Lighthouse serves as a solitary structure representing hope and guidance amid a stormy sea, populated by individuals celebrating Christmas.""The Lighthouse serves as a solitary structure representing hope and guidance amid a stormy sea, populated by individuals celebrating Christmas.""The Lighthouse serves as a solitary structure representing hope and guidance amid a stormy sea, populated by individuals celebrating Christmas.""The Lighthouse serves as a solitary structure representing hope and guidance amid a stormy sea, populated by individuals celebrating Christmas."', 'source_id': 'chunk-91614df5cb74cbe5e109a338a82041e9'}> +2024-10-30 06:52:56,179 - lightrag - INFO - get_node:query:MATCH (n:`APPLES`) RETURN n:result: +2024-10-30 06:52:56,268 - lightrag - INFO - get_node:query:MATCH (n:`THE FUTURE`) RETURN n:result:"The Future represents the potential outcomes of Scrooge’s life choices, depicted through the visions shown by the Spirits.""The Future refers to the outcomes that Scrooge may face based on his current actions, raising themes of choice and consequence.""The Future refers to the outcomes that Scrooge may face based on his current actions, raising themes of choice and consequence.""The Future refers to the outcomes that Scrooge may face based on his current actions, raising themes of choice and consequence.""The Future refers to the outcomes that Scrooge may face based on his current actions, raising themes of choice and consequence.""The Future refers to the outcomes that Scrooge may face based on his current actions, raising themes of choice and consequence."', 'source_id': 'chunk-91572b3cd42786ba4cb2f180ca25cbf4chunk-02baee20cc9463dbe08170a8e1043e32'}> +2024-10-30 06:52:56,356 - lightrag - INFO - get_node:query:MATCH (n:`COURT`) RETURN n:result: +2024-10-30 06:52:56,448 - lightrag - INFO - get_node:query:MATCH (n:`BOB CRATCHIT`) RETURN n:result:chunk-90b95db5c53e4364a6bee36b7aa4d70fchunk-d9aac3484185ac66045df92214d245d5chunk-19d72c57ae3408758b18d2568e86dc6bchunk-503f0bfa5453467c7c61d160a3540ecachunk-91572b3cd42786ba4cb2f180ca25cbf4chunk-9e3921da66da5d761ab73cd849af6c43chunk-94bea83e7153fc2064aa382b494936a1chunk-83ac129dc9b56f84c46760d153d68e93chunk-7e2e7ebcc19a53b399dc03aded4743e7chunk-1d4b58de5429cd1261370c231c8673e8'}> +2024-10-30 06:52:56,535 - lightrag - INFO - get_node:query:MATCH (n:`RED-FACED GENTLEMAN`) RETURN n:result: +2024-10-30 06:52:56,620 - lightrag - INFO - get_node:query:MATCH (n:`BELINDA CRATCHIT`) RETURN n:result:"Belinda Cratchit is one of Bob Cratchit\'s daughters, assisting her mother in laying the dining cloth.""Belinda is a daughter of Bob and Mrs. Cratchit, representing the Cratchit family\'s love and unity during difficult times.""Belinda Cratchit is one of Bob\'s daughters, assisting in household tasks and showing a strong familial bond.""Belinda is the daughter of Bob and Mrs. Cratchit, representing the innocence and joyful spirit of the Cratchit family.""Belinda Cratchit is one of Bob\'s daughters, assisting in household tasks and showing a strong familial bond.""Belinda is the daughter of Bob and Mrs. Cratchit, representing the innocence and joyful spirit of the Cratchit family.""Belinda Cratchit is one of Bob\'s daughters, assisting in household tasks and showing a strong familial bond.""Belinda is the daughter of Bob and Mrs. Cratchit, representing the innocence and joyful spirit of the Cratchit family.""Belinda Cratchit is one of Bob\'s daughters, assisting in household tasks and showing a strong familial bond.""Belinda is the daughter of Bob and Mrs. Cratchit, representing the innocence and joyful spirit of the Cratchit family.""Belinda Cratchit is one of Bob\'s daughters, assisting in household tasks and showing a strong familial bond.""Belinda is the daughter of Bob and Mrs. Cratchit, representing the innocence and joyful spirit of the Cratchit family."', 'source_id': 'chunk-7e2e7ebcc19a53b399dc03aded4743e7chunk-9e3921da66da5d761ab73cd849af6c43chunk-b0f459f5af1c3a5e0b92cbe4ee48b77b'}> +2024-10-30 06:52:56,705 - lightrag - INFO - get_node:query:MATCH (n:`HOPE`) RETURN n:result:"Hope emerges as a central theme in the characters\' lives, particularly through Caroline\'s reaction to news about the husband and the family\'s future.""Hope emerges as a central theme in the characters\' lives, particularly through Caroline\'s reaction to news about the husband and the family\'s future.""Hope emerges as a central theme in the characters\' lives, particularly through Caroline\'s reaction to news about the husband and the family\'s future.""Hope emerges as a central theme in the characters\' lives, particularly through Caroline\'s reaction to news about the husband and the family\'s future.""Hope represents the aspirations and dreams that characters have, particularly in the context of the matron\'s optimistic nature.""Hope represents the aspirations and dreams that characters have, particularly in the context of the matron\'s optimistic nature.""Hope represents the aspirations and dreams that characters have, particularly in the context of the matron\'s optimistic nature.""Hope represents the aspirations and dreams that characters have, particularly in the context of the matron\'s optimistic nature.""Hope represents the aspirations and dreams that characters have, particularly in the context of the matron\'s optimistic nature."', 'source_id': 'chunk-54bdd22db1f84a965b5f4c06c9216d8dchunk-83ac129dc9b56f84c46760d153d68e93'}> +2024-10-30 06:52:56,792 - lightrag - INFO - get_node:query:MATCH (n:`THE CHURCH`) RETURN n:result:"The Church is a location from where the clock chimes are heard, marking the passage of time and contributing to the atmosphere of the scene.""The Church is a location from where the clock chimes are heard, marking the passage of time and contributing to the atmosphere of the scene.""The Church is a location from where the clock chimes are heard, marking the passage of time and contributing to the atmosphere of the scene.""The Church is a location from where the clock chimes are heard, marking the passage of time and contributing to the atmosphere of the scene.""The Church is a place Scrooge visits, indicating his desire to engage in the Christmas spirit and community.""The Church is a place referenced in the context of the community\'s sentiments toward Christmas and social welfare.""The Church is a place referenced in the context of the community\'s sentiments toward Christmas and social welfare.""The Church is a place referenced in the context of the community\'s sentiments toward Christmas and social welfare.""The Church is a place referenced in the context of the community\'s sentiments toward Christmas and social welfare.""The Church is a place referenced in the context of the community\'s sentiments toward Christmas and social welfare."', 'source_id': 'chunk-cb661c37436355ccec2769b1d0350c5fchunk-8f738cb25d60a7dab782162d9d0a25edchunk-90d5764e301321c087f5a8f78b73a145'}> +2024-10-30 06:52:56,881 - lightrag - INFO - get_node:query:MATCH (n:`THE GOLDEN IDOL`) RETURN n:result: +2024-10-30 06:52:56,969 - lightrag - INFO - get_node:query:MATCH (n:`EBENEZER SCROOGE`) RETURN n:result:chunk-c7b10789a9cb0af6c553730b29bd9034chunk-9e3921da66da5d761ab73cd849af6c43'}> +2024-10-30 06:52:57,053 - lightrag - INFO - get_node:query:MATCH (n:`PETER`) RETURN n:result:"Peter is one of the Cratchit children, who occasionally expresses a sense of duty and future aspirations, contributing to family discussions.""Peter is a son in the Cratchit family, responsible and calm, attempting to engage his siblings amidst a tense family situation and financial uncertainty.""Peter is the son of Bob and Mrs. Cratchit, showing concern and support for his father and siblings.""Peter is a son in the Cratchit family, responsible and calm, attempting to engage his siblings amidst a tense family situation and financial uncertainty.""Peter is the son of Bob and Mrs. Cratchit, showing concern and support for his father and siblings.""Peter is a son in the Cratchit family, responsible and calm, attempting to engage his siblings amidst a tense family situation and financial uncertainty.""Peter is the son of Bob and Mrs. Cratchit, showing concern and support for his father and siblings.""Peter is a son in the Cratchit family, responsible and calm, attempting to engage his siblings amidst a tense family situation and financial uncertainty.""Peter is the son of Bob and Mrs. Cratchit, showing concern and support for his father and siblings.""Peter is a son in the Cratchit family, responsible and calm, attempting to engage his siblings amidst a tense family situation and financial uncertainty.""Peter is the son of Bob and Mrs. Cratchit, showing concern and support for his father and siblings."', 'source_id': 'chunk-83ac129dc9b56f84c46760d153d68e93chunk-1d4b58de5429cd1261370c231c8673e8'}> +2024-10-30 06:52:57,150 - lightrag - INFO - get_node:query:MATCH (n:`PORTLY GENTLEMEN`) RETURN n:result: +2024-10-30 06:52:57,239 - lightrag - INFO - get_node:query:MATCH (n:`THE REGISTER`) RETURN n:result: +2024-10-30 06:52:57,325 - lightrag - INFO - get_node:query:MATCH (n:`MULTITUDES`) RETURN n:result: +2024-10-30 06:52:57,412 - lightrag - INFO - get_node:query:MATCH (n:`GHOST OF CHRISTMAS YET TO COME`) RETURN n:result:"The Ghost of Christmas Yet to Come is a foreboding spirit that shows Scrooge the potential consequences of his actions if he does not change.""The Ghost of Christmas Yet to Come is a foreboding spirit that shows Scrooge the potential consequences of his actions if he does not change.""The Ghost of Christmas Yet to Come is a foreboding spirit that shows Scrooge the potential consequences of his actions if he does not change.""The Ghost of Christmas Yet to Come is a foreboding spirit that shows Scrooge the potential consequences of his actions if he does not change.""The Ghost of Christmas Yet to Come is an apparition that presents Scrooge with a grim vision of his possible future if he doesn\'t change his ways.""The Ghost of Christmas Yet to Come is an event within the story that signifies Scrooge\'s confrontation with the future consequences of his actions.""The Ghost of Christmas Yet to Come signifies a pivotal moment where Scrooge is confronted with the potential futures resulting from his life choices.""The Ghost of Christmas Yet to Come signifies a pivotal moment where Scrooge is confronted with the potential futures resulting from his life choices.""The Ghost of Christmas Yet to Come signifies a pivotal moment where Scrooge is confronted with the potential futures resulting from his life choices.""The Ghost of Christmas Yet to Come signifies a pivotal moment where Scrooge is confronted with the potential futures resulting from his life choices.""The Ghost of Christmas Yet to Come signifies a pivotal moment where Scrooge is confronted with the potential futures resulting from his life choices."', 'source_id': 'chunk-02baee20cc9463dbe08170a8e1043e32chunk-9e3921da66da5d761ab73cd849af6c43'}> +2024-10-30 06:52:57,501 - lightrag - INFO - get_node:query:MATCH (n:`THE YARD`) RETURN n:result: +2024-10-30 06:52:57,586 - lightrag - INFO - get_node:query:MATCH (n:`THE CANDLE`) RETURN n:result:"The Candle is a source of light that Scrooge lights as he enters his home, symbolizing the struggle against darkness and isolation.""The Candle is a source of light that Scrooge lights as he enters his home, symbolizing the struggle against darkness and isolation.""The Candle is a source of light that Scrooge lights as he enters his home, symbolizing the struggle against darkness and isolation.""The Candle is a source of light that Scrooge lights as he enters his home, symbolizing the struggle against darkness and isolation.""The Candle represents a source of light in Scrooge\'s dark life, emphasizing the contrast between warmth and isolation."', 'source_id': 'chunk-d9aac3484185ac66045df92214d245d5chunk-9c43dac2fcd5b578242d907ea6f8fc7b'}> +2024-10-30 06:52:57,674 - lightrag - INFO - get_node:query:MATCH (n:`THE PEOPLE`) RETURN n:result:"The People refer to the townsfolk whom Scrooge encounters, showcasing the communal spirit of Christmas.""The People refer to the townsfolk whom Scrooge encounters, showcasing the communal spirit of Christmas.""The People refer to the townsfolk whom Scrooge encounters, showcasing the communal spirit of Christmas.""The People refer to the townsfolk whom Scrooge encounters, showcasing the communal spirit of Christmas.""The People refers to the inhabitants of the quarter, characterized by their desperate living conditions and societal challenges.""The People represent the townsfolk who come together in celebration during the Christmas season, highlighting communal joy and participation.""The People represent the various individuals Scrooge encounters during his joyful walk, symbolizing community and shared happiness.""The People refers to the inhabitants of the quarter, characterized by their desperate living conditions and societal challenges.""The People represent the townsfolk who come together in celebration during the Christmas season, highlighting communal joy and participation.""The People refers to the inhabitants of the quarter, characterized by their desperate living conditions and societal challenges.""The People represent the townsfolk who come together in celebration during the Christmas season, highlighting communal joy and participation.""The People refers to the inhabitants of the quarter, characterized by their desperate living conditions and societal challenges.""The People represent the townsfolk who come together in celebration during the Christmas season, highlighting communal joy and participation.""The People refers to the inhabitants of the quarter, characterized by their desperate living conditions and societal challenges.""The People represent the townsfolk who come together in celebration during the Christmas season, highlighting communal joy and participation."', 'source_id': 'chunk-f1a4fbcf1ed86864b9bfd5e8dba4c683chunk-8f738cb25d60a7dab782162d9d0a25edchunk-b0f459f5af1c3a5e0b92cbe4ee48b77b'}> +2024-10-30 06:52:57,763 - lightrag - INFO - get_node:query:MATCH (n:`ALI BABA`) RETURN n:result:"Ali Baba is a character from a story recalled by Scrooge, representing memories of adventure and kindness during Christmas.""Ali Baba is a character from a story recalled by Scrooge, representing memories of adventure and kindness during Christmas.""Ali Baba is a character from a story recalled by Scrooge, representing memories of adventure and kindness during Christmas.""Ali Baba is a character from a story recalled by Scrooge, representing memories of adventure and kindness during Christmas.""Ali Baba is mentioned as a character from a story that impacts Scrooge during his reflection on Christmas and childhood."', 'source_id': 'chunk-8590d9263cd2cd4fa583c432fc54e6c3'}> +2024-10-30 06:52:57,854 - lightrag - INFO - get_node:query:MATCH (n:`THE CRATCHIT FAMILY`) RETURN n:result:"The Cratchit Family consists of Bob, Mrs. Cratchit, Tiny Tim, and their children, characterized by their strong familial bonds and love for one another despite financial struggles.""The Cratchit Family consists of Bob, Mrs. Cratchit, Tiny Tim, and their children, characterized by their strong familial bonds and love for one another despite financial struggles.""The Cratchit Family consists of Bob, Mrs. Cratchit, Tiny Tim, and their children, characterized by their strong familial bonds and love for one another despite financial struggles.""The Cratchit Family consists of Bob, Mrs. Cratchit, Tiny Tim, and their children, characterized by their strong familial bonds and love for one another despite financial struggles.""The Cratchit Family consists of Bob, Mrs. Cratchit, and their children, highlighting themes of familial love and support amidst hardship.""The Cratchit Family is a close-knit family depicted in the text, characterized by love and warmth, celebrating Christmas together despite their difficulties.""The Cratchit Family represents a typical struggling family in the text, highlighting the theme of social disparity during Christmas.""The Cratchit Family is a close-knit family depicted in the text, characterized by love and warmth, celebrating Christmas together despite their difficulties.""The Cratchit Family represents a typical struggling family in the text, highlighting the theme of social disparity during Christmas.""The Cratchit Family is a close-knit family depicted in the text, characterized by love and warmth, celebrating Christmas together despite their difficulties.""The Cratchit Family represents a typical struggling family in the text, highlighting the theme of social disparity during Christmas.""The Cratchit Family is a close-knit family depicted in the text, characterized by love and warmth, celebrating Christmas together despite their difficulties.""The Cratchit Family represents a typical struggling family in the text, highlighting the theme of social disparity during Christmas.""The Cratchit Family is a close-knit family depicted in the text, characterized by love and warmth, celebrating Christmas together despite their difficulties.""The Cratchit Family represents a typical struggling family in the text, highlighting the theme of social disparity during Christmas."', 'source_id': 'chunk-503f0bfa5453467c7c61d160a3540ecachunk-90d5764e301321c087f5a8f78b73a145chunk-1d4b58de5429cd1261370c231c8673e8'}> +2024-10-30 06:52:57,938 - lightrag - INFO - get_node:query:MATCH (n:`THE BUSINESSMEN`) RETURN n:result: +2024-10-30 06:52:58,023 - lightrag - INFO - get_node:query:MATCH (n:`THE MANSION HOUSE`) RETURN n:result:"The Mansion House is the official residence of the Lord Mayor, where festive preparations for Christmas are being made.""The Mansion House is the official residence of the Lord Mayor, where festive preparations for Christmas are being made.""The Mansion House is the official residence of the Lord Mayor, where festive preparations for Christmas are being made.""The Mansion House is the official residence of the Lord Mayor, where festive preparations for Christmas are being made.""The Mansion House is the official residence of the Lord Mayor, where festive preparations for Christmas are being made."', 'source_id': 'chunk-90d5764e301321c087f5a8f78b73a145'}> +2024-10-30 06:52:58,111 - lightrag - INFO - get_node:query:MATCH (n:`THE OBSCURE PART OF TOWN`) RETURN n:result: +2024-10-30 06:52:58,198 - lightrag - INFO - get_node:query:MATCH (n:`SCROOGE'S NEPHEW`) RETURN n:result:"Scrooge\'s Nephew is a jovial character known for his infectious laughter and optimistic attitude towards Christmas, finding humor in Scrooge\'s ill temper and wealth.""Scrooge\'s Nephew is portrayed as warm-hearted and attempts to engage his uncle in the spirit of Christmas, despite Scrooge\'s rebuff.""Scrooge\'s nephew is portrayed as a joyful character who embodies laughter and good-humor, contrasting with Scrooge\'s initial persona."Scrooge\'s Nephew is a cheerful and optimistic character who embodies the spirit of Christmas, consistently challenging his uncle Scrooge\'s gloomy outlook on both Christmas and life. He is characterized by his contagious laughter and good humor, starkly contrasting with Scrooge\'s miserliness and pessimism. This jovial character actively participates in family gatherings, engaging in games and displaying a joyful demeanor. He finds humor in Scrooge\'s ill temper and wealth, often emphasizing the positive qualities of Christmas despite his uncle\'s negativity. Warm-hearted and determined, Scrooge\'s Nephew makes repeated attempts to involve Scrooge in the festive spirit, even in the face of his uncle\'s rebuffs. Overall, he represents a vibrant spirit of joy and laughter, serving as a lively counterpoint to Scrooge\'s initial persona.', 'source_id': 'chunk-43c9bee23adfa77aa9dedd22401bba7dchunk-5dac41b3f9eeaf794f0147400b1718cdchunk-74e2466de2f67fd710ef2f20c0a8d9e0chunk-91614df5cb74cbe5e109a338a82041e9chunk-773d0df1dd25c356f7b771d780583e09'}> +2024-10-30 06:52:58,286 - lightrag - INFO - get_node:query:MATCH (n:`MANKIND`) RETURN n:result:"Mankind is referenced as a significant concern that should have been the focus of Scrooge\'s life, highlighting the importance of universal compassion and care.""Mankind is referenced as a significant concern that should have been the focus of Scrooge\'s life, highlighting the importance of universal compassion and care.""Mankind is referenced as a significant concern that should have been the focus of Scrooge\'s life, highlighting the importance of universal compassion and care.""Mankind is referenced as a significant concern that should have been the focus of Scrooge\'s life, highlighting the importance of universal compassion and care.""Mankind signifies the broader human community, which Marley claims should be the focus of compassionate effort rather than mere business pursuits."', 'source_id': 'chunk-359187e7571bda4b0b08b2e0b6581e52'}> +2024-10-30 06:52:58,377 - lightrag - INFO - get_node:query:MATCH (n:`THE SITTING ROOM`) RETURN n:result: +2024-10-30 06:52:58,467 - lightrag - INFO - get_node:query:MATCH (n:`THE FAMILY`) RETURN n:result: +2024-10-30 06:52:58,569 - lightrag - INFO - get_node:query:MATCH (n:`THE WAREHOUSE`) RETURN n:result:"The Warehouse is the setting for Fezziwig\'s celebrations, transformed into a ballroom for the festivities.""The Warehouse is the place of business shared by Scrooge and Marley, a symbol of their partnership in life and business.""The Warehouse serves as the setting for Scrooge\'s memories of Fezziwig\'s jovial nature and the lively gatherings during his apprenticeship.""The Warehouse is the place of business shared by Scrooge and Marley, a symbol of their partnership in life and business.""The Warehouse serves as the setting for Scrooge\'s memories of Fezziwig\'s jovial nature and the lively gatherings during his apprenticeship.""The Warehouse is the place of business shared by Scrooge and Marley, a symbol of their partnership in life and business.""The Warehouse serves as the setting for Scrooge\'s memories of Fezziwig\'s jovial nature and the lively gatherings during his apprenticeship.""The Warehouse is the place of business shared by Scrooge and Marley, a symbol of their partnership in life and business.""The Warehouse serves as the setting for Scrooge\'s memories of Fezziwig\'s jovial nature and the lively gatherings during his apprenticeship.""The Warehouse is the place of business shared by Scrooge and Marley, a symbol of their partnership in life and business.""The Warehouse serves as the setting for Scrooge\'s memories of Fezziwig\'s jovial nature and the lively gatherings during his apprenticeship."', 'source_id': 'chunk-c6c248858d1b13ab7ee9ca13c1aeed6bchunk-8bc1edd983869352d14cf0886a9175a7chunk-89777b838d5447c7bd1ec11282c4ee89'}> +2024-10-30 06:52:58,669 - lightrag - INFO - get_node:query:MATCH (n:`THE MOURNING DRESS`) RETURN n:result: +2024-10-30 06:52:58,758 - lightrag - INFO - get_node:query:MATCH (n:`CHESTNUTS`) RETURN n:result: +2024-10-30 06:52:58,845 - lightrag - INFO - get_node:query:MATCH (n:`THE BOY`) RETURN n:result:"The Boy is a young messenger who interacts with Scrooge during his purchase of the turkey.""The Boy represents innocence and curiosity, serving as a catalyst for Scrooge\'s generous act by purchasing the turkey.""The Boy represents innocence and curiosity, serving as a catalyst for Scrooge\'s generous act by purchasing the turkey.""The Boy represents innocence and curiosity, serving as a catalyst for Scrooge\'s generous act by purchasing the turkey.""The Boy represents innocence and curiosity, serving as a catalyst for Scrooge\'s generous act by purchasing the turkey.""The Boy represents innocence and curiosity, serving as a catalyst for Scrooge\'s generous act by purchasing the turkey."', 'source_id': 'chunk-8f738cb25d60a7dab782162d9d0a25edchunk-8bc1edd983869352d14cf0886a9175a7chunk-90b95db5c53e4364a6bee36b7aa4d70f'}> +2024-10-30 06:52:58,932 - lightrag - INFO - get_node:query:MATCH (n:`THE CORPSE`) RETURN n:result: +2024-10-30 06:52:59,021 - lightrag - INFO - get_node:query:MATCH (n:`GHOST`) RETURN n:result:"The Ghost refers to the spirit guiding Scrooge, embodying the themes of memory and reflection on the joys of Christmas.""The Ghost represents a spiritual guide that takes Scrooge on a journey to learn important lessons about compassion and humanity.""The Ghost serves as a supernatural guide for Scrooge, prompting him to reflect on his life and choices.""The Ghost is the spirit of Jacob Marley, who expresses remorse for his life and warns Scrooge about the consequences of ignoring his moral duties.""The Ghost is the spirit of Jacob Marley, who expresses remorse for his life and warns Scrooge about the consequences of ignoring his moral duties.""The Ghost is the spirit of Jacob Marley, who expresses remorse for his life and warns Scrooge about the consequences of ignoring his moral duties.""The Ghost is the spirit of Jacob Marley, who expresses remorse for his life and warns Scrooge about the consequences of ignoring his moral duties.""The Ghost is the spirit of Jacob Marley, who expresses remorse for his life and warns Scrooge about the consequences of ignoring his moral duties."', 'source_id': 'chunk-43c9bee23adfa77aa9dedd22401bba7dchunk-e7637ff18c5ded77a68cce0a87883fadchunk-359187e7571bda4b0b08b2e0b6581e52chunk-c6c248858d1b13ab7ee9ca13c1aeed6bchunk-503f0bfa5453467c7c61d160a3540eca'}> +2024-10-30 06:52:59,113 - lightrag - INFO - get_node:query:MATCH (n:`THE BEAUTIFUL YOUNG GIRL`) RETURN n:result: +2024-10-30 06:52:59,202 - lightrag - INFO - get_node:query:MATCH (n:`THE DAUGHTER`) RETURN n:result: +2024-10-30 06:52:59,292 - lightrag - INFO - get_node:query:MATCH (n:`THE DARKNESS`) RETURN n:result:"The Darkness symbolizes the confusion and the unknown that envelops Scrooge as he faces the reality of his past, present, and future.""The Darkness symbolizes the confusion and the unknown that envelops Scrooge as he faces the reality of his past, present, and future.""The Darkness symbolizes the confusion and the unknown that envelops Scrooge as he faces the reality of his past, present, and future.""The Darkness symbolizes the confusion and the unknown that envelops Scrooge as he faces the reality of his past, present, and future.""The Darkness symbolizes the confusion and the unknown that envelops Scrooge as he faces the reality of his past, present, and future."', 'source_id': 'chunk-cb661c37436355ccec2769b1d0350c5f'}> +2024-10-30 06:52:59,380 - lightrag - INFO - get_node:query:MATCH (n:`ROBIN CRUSOE`) RETURN n:result:"Robin Crusoe is a character from literature that Scrooge remembers fondly, illustrating his connection to stories of adventure and survival.""Robin Crusoe is a character from literature that Scrooge remembers fondly, illustrating his connection to stories of adventure and survival.""Robin Crusoe is a character from literature that Scrooge remembers fondly, illustrating his connection to stories of adventure and survival.""Robin Crusoe is a character from literature that Scrooge remembers fondly, illustrating his connection to stories of adventure and survival.""Robin Crusoe is a character referenced by Scrooge as part of his memories, signifying tales of adventure and nostalgia."', 'source_id': 'chunk-8590d9263cd2cd4fa583c432fc54e6c3'}> +2024-10-30 06:52:59,470 - lightrag - INFO - get_node:query:MATCH (n:`SPANISH ONIONS`) RETURN n:result: +2024-10-30 06:52:59,559 - lightrag - INFO - get_node:query:MATCH (n:`POOR AND DESTITUTE`) RETURN n:result: +2024-10-30 06:52:59,647 - lightrag - INFO - get_node:query:MATCH (n:`CHRISTMAS HOLIDAYS`) RETURN n:result:"Christmas Holidays signify a time for celebration, reflection, and reconciliation, playing a critical role in Scrooge\'s transformation.""Christmas Holidays signify a time for celebration, reflection, and reconciliation, playing a critical role in Scrooge\'s transformation.""Christmas Holidays signify a time for celebration, reflection, and reconciliation, playing a critical role in Scrooge\'s transformation.""Christmas Holidays signify a time for celebration, reflection, and reconciliation, playing a critical role in Scrooge\'s transformation.""The Christmas Holidays serve as a crucial backdrop for the narrative, representing themes of generosity, family, and redemption."', 'source_id': 'chunk-e7637ff18c5ded77a68cce0a87883fad'}> +2024-10-30 06:52:59,735 - lightrag - INFO - get_node:query:MATCH (n:`CHRISTMAS PUDDING`) RETURN n:result:"Christmas Pudding is a dish being prepared for the festive celebration, embodying the spirit of Christmas and family gatherings.""Christmas Pudding is a dish being prepared for the festive celebration, embodying the spirit of Christmas and family gatherings.""Christmas Pudding is a dish being prepared for the festive celebration, embodying the spirit of Christmas and family gatherings.""Christmas Pudding is a dish being prepared for the festive celebration, embodying the spirit of Christmas and family gatherings.""The Christmas Pudding is a significant dish prepared by Mrs. Cratchit, symbolizing the family\'s festive celebration and unity."', 'source_id': 'chunk-503f0bfa5453467c7c61d160a3540ecachunk-90d5764e301321c087f5a8f78b73a145'}> +2024-10-30 06:52:59,820 - lightrag - INFO - get_node:query:MATCH (n:`HOSPITAL`) RETURN n:result:"Hospital signifies a place of healing and care, visited by the Spirit in the story.""Hospital signifies a place of healing and care, visited by the Spirit in the story.""Hospital signifies a place of healing and care, visited by the Spirit in the story.""Hospital signifies a place of healing and care, visited by the Spirit in the story.""The Hospital represents a location of care and compassion, highlighting the human condition and the need for kindness."', 'source_id': 'chunk-e7637ff18c5ded77a68cce0a87883fad'}> +2024-10-30 06:52:59,908 - lightrag - INFO - get_node:query:MATCH (n:`MASTER PETER`) RETURN n:result: +2024-10-30 06:52:59,999 - lightrag - INFO - get_node:query:MATCH (n:`THE BED`) RETURN n:result:"The Bed represents a significant scene where the deceased man\'s body is laid, evoking deep emotions and realizations about life and morality.""The Bed represents a significant scene where the deceased man\'s body is laid, evoking deep emotions and realizations about life and morality.""The Bed represents a significant scene where the deceased man\'s body is laid, evoking deep emotions and realizations about life and morality.""The Bed represents a significant scene where the deceased man\'s body is laid, evoking deep emotions and realizations about life and morality.""The Bed represents a significant scene where the deceased man\'s body is laid, evoking deep emotions and realizations about life and morality."', 'source_id': 'chunk-e1f29eeadc1d8ab46dc8a0bbd3c56b64'}> +2024-10-30 06:53:00,092 - lightrag - INFO - get_node:query:MATCH (n:`CAMDEN TOWN`) RETURN n:result:"Camden Town is a location mentioned as Bob Cratchit\'s home, highlighting the setting of his personal life.""Camden Town is a location mentioned as Bob Cratchit\'s home, highlighting the setting of his personal life.""Camden Town is a location mentioned as Bob Cratchit\'s home, highlighting the setting of his personal life.""Camden Town is a location mentioned as Bob Cratchit\'s home, highlighting the setting of his personal life.""Camden Town is a location mentioned in relation to the logistics of transporting a large turkey.""Camden Town is a location where Bob Cratchit runs home to celebrate Christmas Eve, representing a more joyful and lively setting.""Camden Town is mentioned as a location related to the transportation of a turkey in a humorous context during the holiday season.""Camden Town is mentioned as a location related to the transportation of a turkey in a humorous context during the holiday season.""Camden Town is mentioned as a location related to the transportation of a turkey in a humorous context during the holiday season.""Camden Town is mentioned as a location related to the transportation of a turkey in a humorous context during the holiday season.""Camden Town is mentioned as a location related to the transportation of a turkey in a humorous context during the holiday season."', 'source_id': 'chunk-d9aac3484185ac66045df92214d245d5chunk-8f738cb25d60a7dab782162d9d0a25ed'}> +2024-10-30 06:53:00,179 - lightrag - INFO - get_node:query:MATCH (n:`ALMSHOUSE`) RETURN n:result: +2024-10-30 06:53:00,267 - lightrag - INFO - get_node:query:MATCH (n:`DEATH`) RETURN n:result:"Death is described as a powerful force in the narrative, represented through the imagery of a cold, rigid presence and the contemplation of mortality.""Death refers to the passing of a character that triggers a range of emotions and reflections among the living, influencing their lives and relationships.""Death is depicted as a cold, inevitable force, prompting reflections on the value of life and the consequences of avarice.""Death is depicted as a cold, inevitable force, prompting reflections on the value of life and the consequences of avarice.""Death is depicted as a cold, inevitable force, prompting reflections on the value of life and the consequences of avarice.""Death is depicted as a cold, inevitable force, prompting reflections on the value of life and the consequences of avarice.""Death is depicted as a cold, inevitable force, prompting reflections on the value of life and the consequences of avarice."', 'source_id': 'chunk-e1f29eeadc1d8ab46dc8a0bbd3c56b64chunk-83ac129dc9b56f84c46760d153d68e93chunk-02baee20cc9463dbe08170a8e1043e32'}> +2024-10-30 06:53:00,355 - lightrag - INFO - get_node:query:MATCH (n:`THE GRAVE`) RETURN n:result: +2024-10-30 06:53:00,443 - lightrag - INFO - get_node:query:MATCH (n:`LONDON`) RETURN n:result:"London is the city where the narrative takes place, representing a central location in the story.""London is the city where the narrative takes place, representing a central location in the story.""London is the city where the narrative takes place, representing a central location in the story.""London is the city where the narrative takes place, representing a central location in the story.""London serves as the general setting for the story, although its specific mention relates to an animal in the context of a game.""London serves as the geographical setting for the story, encapsulating the harsh winter atmosphere and the life of its inhabitants during the festive season.""London serves as the setting where the events take place, adding a cultural backdrop to the Christmas gathering.""London serves as the setting for the story, highlighting the bustling yet isolating environment in which Scrooge lives.""London serves as the general setting for the story, although its specific mention relates to an animal in the context of a game.""London serves as the setting for the story, highlighting the bustling yet isolating environment in which Scrooge lives.""London serves as the general setting for the story, although its specific mention relates to an animal in the context of a game.""London serves as the setting for the story, highlighting the bustling yet isolating environment in which Scrooge lives.""London serves as the general setting for the story, although its specific mention relates to an animal in the context of a game.""London serves as the setting for the story, highlighting the bustling yet isolating environment in which Scrooge lives.""London serves as the general setting for the story, although its specific mention relates to an animal in the context of a game.""London serves as the setting for the story, highlighting the bustling yet isolating environment in which Scrooge lives."', 'source_id': 'chunk-d9aac3484185ac66045df92214d245d5chunk-43c9bee23adfa77aa9dedd22401bba7dchunk-e7637ff18c5ded77a68cce0a87883fad'}> +2024-10-30 06:53:00,533 - lightrag - INFO - get_node:query:MATCH (n:`CRATCHIT CHRISTMAS DINNER`) RETURN n:result: +2024-10-30 06:53:00,621 - lightrag - INFO - get_node:query:MATCH (n:`THE GATHERING`) RETURN n:result: +2024-10-30 06:53:00,709 - lightrag - INFO - get_node:query:MATCH (n:`MARTHA CRATCHIT`) RETURN n:result:"Martha is another daughter of Bob and Mrs. Cratchit, who, like her sister Belinda, symbolizes the warmth and togetherness in the Cratchit household.""Martha Cratchit is a daughter of Bob and Mrs. Cratchit, working as an apprentice at a milliner\'s and looking forward to the holiday for a good rest.""Martha is another daughter of Bob and Mrs. Cratchit, who shows love and care for her family.""Martha Cratchit is a daughter of Bob and Mrs. Cratchit, working as an apprentice at a milliner\'s and looking forward to the holiday for a good rest.""Martha is another daughter of Bob and Mrs. Cratchit, who shows love and care for her family.""Martha Cratchit is a daughter of Bob and Mrs. Cratchit, working as an apprentice at a milliner\'s and looking forward to the holiday for a good rest.""Martha is another daughter of Bob and Mrs. Cratchit, who shows love and care for her family.""Martha Cratchit is a daughter of Bob and Mrs. Cratchit, working as an apprentice at a milliner\'s and looking forward to the holiday for a good rest.""Martha is another daughter of Bob and Mrs. Cratchit, who shows love and care for her family.""Martha Cratchit is a daughter of Bob and Mrs. Cratchit, working as an apprentice at a milliner\'s and looking forward to the holiday for a good rest.""Martha is another daughter of Bob and Mrs. Cratchit, who shows love and care for her family."', 'source_id': 'chunk-19d72c57ae3408758b18d2568e86dc6bchunk-7e2e7ebcc19a53b399dc03aded4743e7chunk-9e3921da66da5d761ab73cd849af6c43'}> +2024-10-30 06:53:00,796 - lightrag - INFO - get_node:query:MATCH (n:`THE COUNTING-HOUSE CLERK`) RETURN n:result: +2024-10-30 06:53:00,882 - lightrag - INFO - get_node:query:MATCH (n:`GEESE`) RETURN n:result:"Geese are also traditional food items that may be included in Christmas feasts, adding to the holiday cheer.""Geese are also traditional food items that may be included in Christmas feasts, adding to the holiday cheer.""Geese are also traditional food items that may be included in Christmas feasts, adding to the holiday cheer.""Geese are also traditional food items that may be included in Christmas feasts, adding to the holiday cheer.""Geese are another traditional food item during Christmas, contributing to the festive dining experiences.""Geese are included in the festive feast, representing the bounty and celebration associated with Christmas."', 'source_id': 'chunk-99b0ec7f7e006561352b5d65e849611dchunk-843b5b2f944c7413d9ca876e2e2f151f'}> +2024-10-30 06:53:00,972 - lightrag - INFO - get_node:query:MATCH (n:`ORSON`) RETURN n:result:"Orson, the wild brother of Valentine, is another figure from Scrooge\'s past, representing familial connections and memories.""Orson, the wild brother of Valentine, is another figure from Scrooge\'s past, representing familial connections and memories.""Orson, the wild brother of Valentine, is another figure from Scrooge\'s past, representing familial connections and memories.""Orson, the wild brother of Valentine, is another figure from Scrooge\'s past, representing familial connections and memories.""Orson, the wild brother of Valentine, is another figure from Scrooge\'s past, representing familial connections and memories."', 'source_id': 'chunk-8590d9263cd2cd4fa583c432fc54e6c3'}> +2024-10-30 06:53:01,060 - lightrag - INFO - get_node:query:MATCH (n:`THE GENTLEMAN`) RETURN n:result:"The Gentleman is a character attempting to persuade Scrooge to contribute to charity for the poor during Christmas.""The Gentleman is a character attempting to persuade Scrooge to contribute to charity for the poor during Christmas.""The Gentleman is a character attempting to persuade Scrooge to contribute to charity for the poor during Christmas.""The Gentleman is a character attempting to persuade Scrooge to contribute to charity for the poor during Christmas.""The Gentleman is a character who advocates for helping the poor and trying to raise a fund for those in need during Christmas."', 'source_id': 'chunk-90d5764e301321c087f5a8f78b73a145'}> +2024-10-30 06:53:01,149 - lightrag - INFO - get_node:query:MATCH (n:`THE DYING FLAME`) RETURN n:result:"The Dying Flame represents the fear and uncertainty in Scrooge as it reacts to the presence of Marley’s Ghost, adding to the eerie atmosphere.""The Dying Flame represents the fear and uncertainty in Scrooge as it reacts to the presence of Marley’s Ghost, adding to the eerie atmosphere.""The Dying Flame represents the fear and uncertainty in Scrooge as it reacts to the presence of Marley’s Ghost, adding to the eerie atmosphere.""The Dying Flame represents the fear and uncertainty in Scrooge as it reacts to the presence of Marley’s Ghost, adding to the eerie atmosphere.""The Dying Flame signifies the waning spirit of Scrooge, momentarily invigorated by the arrival of the ghost as a metaphor for his fading humanity.""The Dying Flame signifies the waning spirit of Scrooge, momentarily invigorated by the arrival of the ghost as a metaphor for his fading humanity.""The Dying Flame signifies the waning spirit of Scrooge, momentarily invigorated by the arrival of the ghost as a metaphor for his fading humanity.""The Dying Flame signifies the waning spirit of Scrooge, momentarily invigorated by the arrival of the ghost as a metaphor for his fading humanity.""The Dying Flame signifies the waning spirit of Scrooge, momentarily invigorated by the arrival of the ghost as a metaphor for his fading humanity."', 'source_id': 'chunk-9c43dac2fcd5b578242d907ea6f8fc7bchunk-1aa50206d02ed89418f65f97c6441d1c'}> +2024-10-30 06:53:01,237 - lightrag - INFO - get_node:query:MATCH (n:`THE DINNER`) RETURN n:result:"The Dinner is a festive event where the Cratchit family gathers to enjoy a meal, including a special goose and pudding, symbolizing their togetherness.""The Dinner is a festive event where the Cratchit family gathers to enjoy a meal, including a special goose and pudding, symbolizing their togetherness.""The Dinner is a festive event where the Cratchit family gathers to enjoy a meal, including a special goose and pudding, symbolizing their togetherness.""The Dinner is a festive event where the Cratchit family gathers to enjoy a meal, including a special goose and pudding, symbolizing their togetherness.""The Dinner is a social event characterized by laughter, music, and discussions about Scrooge, portraying a festive Christmas gathering."', 'source_id': 'chunk-503f0bfa5453467c7c61d160a3540ecachunk-773d0df1dd25c356f7b771d780583e09'}> +2024-10-30 06:53:01,324 - lightrag - INFO - get_node:query:MATCH (n:`THE FUNERAL`) RETURN n:result:"The Funeral is a context for conversation among characters, reflecting on mortality and social connections surrounding death.""The Funeral is a context for conversation among characters, reflecting on mortality and social connections surrounding death.""The Funeral is a context for conversation among characters, reflecting on mortality and social connections surrounding death.""The Funeral is a context for conversation among characters, reflecting on mortality and social connections surrounding death.""The Funeral of Marley is a significant event that highlights Scrooge\'s relationship with Marley and sets the tone for their partnership and Scrooge\'s eventual path.""The Funeral serves as a significant event reflecting on Marley\'s death, noted for its business-like atmosphere as perceived by Scrooge.""The Funeral of Marley is a significant event that highlights Scrooge\'s relationship with Marley and sets the tone for their partnership and Scrooge\'s eventual path.""The Funeral of Marley is a significant event that highlights Scrooge\'s relationship with Marley and sets the tone for their partnership and Scrooge\'s eventual path.""The Funeral of Marley is a significant event that highlights Scrooge\'s relationship with Marley and sets the tone for their partnership and Scrooge\'s eventual path.""The Funeral of Marley is a significant event that highlights Scrooge\'s relationship with Marley and sets the tone for their partnership and Scrooge\'s eventual path."', 'source_id': 'chunk-f1a4fbcf1ed86864b9bfd5e8dba4c683chunk-89777b838d5447c7bd1ec11282c4ee89'}> +2024-10-30 06:53:01,411 - lightrag - INFO - get_node:query:MATCH (n:`THE BLANKETS`) RETURN n:result:"The Blankets are associated with the deceased man\'s body, symbolizing care and the human connection to the dead.""The Blankets are associated with the deceased man\'s body, symbolizing care and the human connection to the dead.""The Blankets are associated with the deceased man\'s body, symbolizing care and the human connection to the dead.""The Blankets are associated with the deceased man\'s body, symbolizing care and the human connection to the dead.""The Blankets are discussed in the context of the deceased\'s possessions, highlighting themes of care and abandonment after death."', 'source_id': 'chunk-e1f29eeadc1d8ab46dc8a0bbd3c56b64'}> +2024-10-30 06:53:01,499 - lightrag - INFO - get_node:query:MATCH (n:`THE GHOST OF CHRISTMAS YET TO COME`) RETURN n:result:"The Ghost of Christmas Yet to Come is a spirit that shows Scrooge the consequences of his actions, pointing toward his eventual demise.""The Ghost of Christmas Yet to Come reveals the potential consequences of Scrooge\'s current life choices, emphasizing themes of mortality and legacy.""The Ghost of Christmas Yet to Come is a spirit that shows Scrooge the consequences of his actions, pointing toward his eventual demise.""The Ghost of Christmas Yet to Come reveals the potential consequences of Scrooge\'s current life choices, emphasizing themes of mortality and legacy.""The Ghost of Christmas Yet to Come is a spirit that shows Scrooge the consequences of his actions, pointing toward his eventual demise.""The Ghost of Christmas Yet to Come reveals the potential consequences of Scrooge\'s current life choices, emphasizing themes of mortality and legacy.""The Ghost of Christmas Yet to Come is a spirit that shows Scrooge the consequences of his actions, pointing toward his eventual demise.""The Ghost of Christmas Yet to Come reveals the potential consequences of Scrooge\'s current life choices, emphasizing themes of mortality and legacy.""The Ghost of Christmas Yet to Come is a spirit that shows Scrooge the consequences of his actions, pointing toward his eventual demise.""The Ghost of Christmas Yet to Come reveals the potential consequences of Scrooge\'s current life choices, emphasizing themes of mortality and legacy."', 'source_id': 'chunk-91572b3cd42786ba4cb2f180ca25cbf4chunk-90b95db5c53e4364a6bee36b7aa4d70f'}> +2024-10-30 06:53:01,584 - lightrag - INFO - get_node:query:MATCH (n:`MARLEY'S GHOST`) RETURN n:result:chunk-9c43dac2fcd5b578242d907ea6f8fc7bchunk-cb661c37436355ccec2769b1d0350c5fchunk-1aa50206d02ed89418f65f97c6441d1c'}> +2024-10-30 06:53:01,669 - lightrag - INFO - get_node:query:MATCH (n:`THE DECEASED`) RETURN n:result: +2024-10-30 06:53:01,758 - lightrag - INFO - get_node:query:MATCH (n:`THE FIRE`) RETURN n:result:"The Fire represents warmth and comfort in the Cratchit household, inviting family members to gather around during their Christmas celebration.""The Fire represents warmth and comfort in the Cratchit household, inviting family members to gather around during their Christmas celebration.""The Fire represents warmth and comfort in the Cratchit household, inviting family members to gather around during their Christmas celebration.""The Fire represents warmth and comfort in the Cratchit household, inviting family members to gather around during their Christmas celebration.""The Fire represents warmth and comfort in the Cratchit household, inviting family members to gather around during their Christmas celebration."', 'source_id': 'chunk-773d0df1dd25c356f7b771d780583e09chunk-7e2e7ebcc19a53b399dc03aded4743e7'}> +2024-10-30 06:53:01,843 - lightrag - INFO - get_node:query:MATCH (n:`MISTLETOE`) RETURN n:result:"Mistletoe is a plant used as a Christmas decoration, symbolizing love and goodwill during the holiday season.""Mistletoe is a plant used as a Christmas decoration, symbolizing love and goodwill during the holiday season.""Mistletoe is a plant used as a Christmas decoration, symbolizing love and goodwill during the holiday season.""Mistletoe is a plant used as a Christmas decoration, symbolizing love and goodwill during the holiday season.""Mistletoe is a traditional plant used for decoration during Christmas, symbolizing joy and a festive spirit.""Mistletoe is described in the context of Christmas decorations, often used for kissing and holiday celebrations.""Mistletoe is described in the context of Christmas decorations, often used for kissing and holiday celebrations.""Mistletoe is described in the context of Christmas decorations, often used for kissing and holiday celebrations.""Mistletoe is described in the context of Christmas decorations, often used for kissing and holiday celebrations.""Mistletoe is described in the context of Christmas decorations, often used for kissing and holiday celebrations."', 'source_id': 'chunk-99b0ec7f7e006561352b5d65e849611dchunk-843b5b2f944c7413d9ca876e2e2f151f'}> +2024-10-30 06:53:01,927 - lightrag - INFO - get_node:query:MATCH (n:`THE SPIRIT`) RETURN n:result:chunk-b0f459f5af1c3a5e0b92cbe4ee48b77bchunk-da2472b4ef2a535b62908f14d0fb0ca9chunk-e1f29eeadc1d8ab46dc8a0bbd3c56b64chunk-19d72c57ae3408758b18d2568e86dc6bchunk-503f0bfa5453467c7c61d160a3540ecachunk-91614df5cb74cbe5e109a338a82041e9chunk-91572b3cd42786ba4cb2f180ca25cbf4chunk-f1a4fbcf1ed86864b9bfd5e8dba4c683chunk-8590d9263cd2cd4fa583c432fc54e6c3chunk-b2f98bc7abb0c67d4c86055c7fd72218chunk-bb21d58d36c6306fd8810ddd51c4a971'}> +2024-10-30 06:53:02,015 - lightrag - INFO - get_node:query:MATCH (n:`THE PRIME OF LIFE`) RETURN n:result: +2024-10-30 06:53:02,099 - lightrag - INFO - get_node:query:MATCH (n:`OLD SCRATCH`) RETURN n:result:"Old Scratch is a colloquial term used in reference to the devil, indicating a grim context in discussions about death.""Old Scratch is a colloquial term used in reference to the devil, indicating a grim context in discussions about death.""Old Scratch is a colloquial term used in reference to the devil, indicating a grim context in discussions about death.""Old Scratch is a colloquial term used in reference to the devil, indicating a grim context in discussions about death.""Old Scratch is mentioned as a figure related to the conversation, symbolizing mischief and humor."', 'source_id': 'chunk-f1a4fbcf1ed86864b9bfd5e8dba4c683chunk-89777b838d5447c7bd1ec11282c4ee89'}> +2024-10-30 06:53:02,188 - lightrag - INFO - get_node:query:MATCH (n:`WINDING RIVER`) RETURN n:result: +2024-10-30 06:53:02,271 - lightrag - INFO - get_node:query:MATCH (n:`MR. MARLEY`) RETURN n:result: +2024-10-30 06:53:02,359 - lightrag - INFO - get_node:query:MATCH (n:`MR. SCROOGE'S NEPHEW`) RETURN n:result:"Mr. Scrooge\'s Nephew is a kind gentleman who expresses sympathy for Bob Cratchit and offers help, reflecting goodwill.""Mr. Scrooge\'s Nephew is a kind gentleman who expresses sympathy for Bob Cratchit and offers help, reflecting goodwill.""Mr. Scrooge\'s Nephew is a kind gentleman who expresses sympathy for Bob Cratchit and offers help, reflecting goodwill.""Mr. Scrooge\'s Nephew is a kind gentleman who expresses sympathy for Bob Cratchit and offers help, reflecting goodwill.""Mr. Scrooge\'s Nephew is a kind gentleman who shows concern for Bob Cratchit and offers support, symbolizing generosity and compassion."', 'source_id': 'chunk-1d4b58de5429cd1261370c231c8673e8'}> +2024-10-30 06:53:02,451 - lightrag - INFO - get_node:query:MATCH (n:`THE YOUNG CRATCHITS`) RETURN n:result: +2024-10-30 06:53:02,542 - lightrag - INFO - get_node:query:MATCH (n:`MARLEY'S FUNERAL`) RETURN n:result: +2024-10-30 06:53:02,630 - lightrag - INFO - get_node:query:MATCH (n:`THE SPIRITS`) RETURN n:result:"The Spirits represent the past, present, and future in Scrooge\'s life, guiding him toward redemption and self-reflection.""The Spirits represent the forces that guide Scrooge towards his transformation and are instrumental in his journey of redemption.""The Spirits represent the forces that guide Scrooge towards his transformation and are instrumental in his journey of redemption.""The Spirits represent the forces that guide Scrooge towards his transformation and are instrumental in his journey of redemption.""The Spirits represent the forces that guide Scrooge towards his transformation and are instrumental in his journey of redemption.""The Spirits represent the forces that guide Scrooge towards his transformation and are instrumental in his journey of redemption."', 'source_id': 'chunk-cb661c37436355ccec2769b1d0350c5fchunk-90b95db5c53e4364a6bee36b7aa4d70f'}> +2024-10-30 06:53:02,718 - lightrag - INFO - get_node:query:MATCH (n:`THE CASK`) RETURN n:result:"The Cask is part of the sounds emerging from the cellar, contributing to the eerie atmosphere surrounding Marley’s Ghost.""The Cask is part of the sounds emerging from the cellar, contributing to the eerie atmosphere surrounding Marley’s Ghost.""The Cask is part of the sounds emerging from the cellar, contributing to the eerie atmosphere surrounding Marley’s Ghost.""The Cask is part of the sounds emerging from the cellar, contributing to the eerie atmosphere surrounding Marley’s Ghost.""The Cask is part of the sounds emerging from the cellar, contributing to the eerie atmosphere surrounding Marley’s Ghost."', 'source_id': 'chunk-9c43dac2fcd5b578242d907ea6f8fc7b'}> +2024-10-30 06:53:02,805 - lightrag - INFO - get_node:query:MATCH (n:`THE PAST`) RETURN n:result:"The Past reflects on Scrooge\'s earlier life choices and experiences that shaped who he has become.""The Past reflects on Scrooge\'s earlier life choices and experiences that shaped who he has become.""The Past reflects on Scrooge\'s earlier life choices and experiences that shaped who he has become.""The Past reflects on Scrooge\'s earlier life choices and experiences that shaped who he has become.""The Past reflects on Scrooge\'s earlier life choices and experiences that shaped who he has become."', 'source_id': 'chunk-91572b3cd42786ba4cb2f180ca25cbf4'}> +2024-10-30 06:53:02,889 - lightrag - INFO - get_node:query:MATCH (n:`CITY`) RETURN n:result:"The City represents the urban setting where Scrooge witnesses the indifference of its inhabitants regarding his death.""The City represents the urban setting where Scrooge\'s transformation takes place, symbolizing the broader society impacted by his changes.""The City serves as a backdrop where various scenes unfold, representing the hustle of life and economic concerns.""The City symbolizes the urban setting where Scrooge\'s transformation takes place, primarily depicting the contrast between Scrooge\'s isolation and the outer world filled with festivities.""The City serves as a backdrop where various scenes unfold, representing the hustle of life and economic concerns.""The City symbolizes the urban setting where Scrooge\'s transformation takes place, primarily depicting the contrast between Scrooge\'s isolation and the outer world filled with festivities.""The City serves as a backdrop where various scenes unfold, representing the hustle of life and economic concerns.""The City symbolizes the urban setting where Scrooge\'s transformation takes place, primarily depicting the contrast between Scrooge\'s isolation and the outer world filled with festivities.""The City serves as a backdrop where various scenes unfold, representing the hustle of life and economic concerns.""The City symbolizes the urban setting where Scrooge\'s transformation takes place, primarily depicting the contrast between Scrooge\'s isolation and the outer world filled with festivities.""The City serves as a backdrop where various scenes unfold, representing the hustle of life and economic concerns.""The City symbolizes the urban setting where Scrooge\'s transformation takes place, primarily depicting the contrast between Scrooge\'s isolation and the outer world filled with festivities."', 'source_id': 'chunk-02baee20cc9463dbe08170a8e1043e32chunk-843b5b2f944c7413d9ca876e2e2f151fchunk-94bea83e7153fc2064aa382b494936a1'}> +2024-10-30 06:53:02,974 - lightrag - INFO - get_node:query:MATCH (n:`WEALTH`) RETURN n:result: +2024-10-30 06:53:03,064 - lightrag - INFO - get_node:query:MATCH (n:`THE MAIN STREET`) RETURN n:result: +2024-10-30 06:53:03,153 - lightrag - INFO - get_node:query:MATCH (n:`THE GIRL`) RETURN n:result:"The Girl is referenced in relation to The Boy, highlighting the dynamics of the young attendees at the Fezziwig\'s celebrations."', 'source_id': 'chunk-8f738cb25d60a7dab782162d9d0a25edchunk-8bc1edd983869352d14cf0886a9175a7'}> +2024-10-30 06:53:03,241 - lightrag - INFO - get_node:query:MATCH (n:`CHRISTMAS FEAST`) RETURN n:result: +2024-10-30 06:53:03,331 - lightrag - INFO - get_node:query:MATCH (n:`JACOB MARLEY`) RETURN n:result:"Jacob Marley is Scrooge\'s deceased partner, who appears in spirit to influence Scrooge\'s journey towards redemption.""Jacob Marley is a spirit who influences Scrooge\'s change of heart, representing a connection to Scrooge\'s past and the theme of redemption.""Jacob Marley is the deceased business partner of Scrooge, whose ghost visits him to convey a message about the importance of charity and kindness.""Jacob Marley is the deceased partner of Scrooge who shows concern for Scrooge\'s fate and the importance of change in his life.""Jacob Marley is the ghost of Scrooge\'s former business partner, who foretells the consequences of Scrooge\'s selfishness and warns him to change his ways.""Jacob Marley is the ghost of Scrooge\'s former partner, who appears to warn Scrooge about his fate and the need for change in his life."Jacob Marley is Scrooge\'s deceased business partner, who appears as a ghost, prominently wearing chains that symbolize the burdens of his past misdeeds and the weight of his regrets. As a spirit, Marley plays a pivotal role in influencing Ebenezer Scrooge\'s journey toward redemption. He visits Scrooge to convey significant messages about the dire consequences of a life devoid of compassion and the critical importance of charity and kindness.\n\nMarley\'s haunting presence serves as a warning to Scrooge about his impending fate if he continues on his selfish and isolated path. He is depicted as showing genuine concern for Scrooge\'s welfare and the necessity for transformative change in his life. Through his visitation, Marley acts as a catalyst, compelling Scrooge to reflect on his past actions and their impact on others. His connection to Scrooge\'s history reinforces the themes of redemption and personal responsibility, emphasizing the potential for transformation and renewal in the face of prior wrongdoings. Ultimately, Jacob Marley\'s spirit not only acts as a reminder of the consequences of one\'s choices but also highlights the possibility of change and growth through self-awareness and connection to humanity.', 'source_id': 'chunk-90b95db5c53e4364a6bee36b7aa4d70fchunk-359187e7571bda4b0b08b2e0b6581e52chunk-da2472b4ef2a535b62908f14d0fb0ca9chunk-02baee20cc9463dbe08170a8e1043e32chunk-1aa50206d02ed89418f65f97c6441d1cchunk-91572b3cd42786ba4cb2f180ca25cbf4chunk-cb661c37436355ccec2769b1d0350c5f'}> +2024-10-30 06:53:03,417 - lightrag - INFO - get_node:query:MATCH (n:`FRENCH PLUMS`) RETURN n:result: +2024-10-30 06:53:03,506 - lightrag - INFO - get_node:query:MATCH (n:`MR. FEZZIWIG`) RETURN n:result:"Mr. Fezziwig is a kind-hearted merchant and former employer of Scrooge, representing joy and generosity in contrast to Scrooge\'s character.""Mr. Fezziwig is a kind-hearted merchant and former employer of Scrooge, representing joy and generosity in contrast to Scrooge\'s character.""Mr. Fezziwig is a kind-hearted merchant and former employer of Scrooge, representing joy and generosity in contrast to Scrooge\'s character.""Mr. Fezziwig is a kind-hearted merchant and former employer of Scrooge, representing joy and generosity in contrast to Scrooge\'s character.""Mr. Fezziwig is a kind-hearted old merchant who served as a mentor to Scrooge, representing generosity and the joy of Christmas through his festive parties."', 'source_id': 'chunk-9e3921da66da5d761ab73cd849af6c43'}> +2024-10-30 06:53:03,594 - lightrag - INFO - get_node:query:MATCH (n:`THE CHILDREN`) RETURN n:result:"The Children are a lively group in the matron\'s home, symbolizing joy, chaos, and familial warmth.""The Children in the Cratchit family represent innocence and curiosity, highlighting the effects of their family\'s struggles on their happiness.""The Children serve as symbols of innocence and joy, representing the untainted happiness of childhood that Scrooge longs to reconnect with.""The children are the offspring of the Cratchit family, showcasing innocence and joy during the Christmas celebrations, reacting with laughter and cheer."The Children are a lively and joyful group experiencing wonder and delight, especially during the gift-giving scenes of the Christmas festivities. They embody innocence and joy, highlighting the untainted happiness of childhood, a happiness that Ebenezer Scrooge longs to reconnect with. Among them are the offspring of the Cratchit family, who, despite the struggles their family faces, react with laughter and cheer during the Christmas celebrations. The Children symbolize familial warmth and chaotic joy in various settings, including the matron\'s home and their own family\'s environment, showcasing their carefree nature and the profound effects of their circumstances on their happiness. Overall, they represent the pure and curious essence of childhood, serving as a reminder of the happiness that can persist even amidst adversity.', 'source_id': 'chunk-da2472b4ef2a535b62908f14d0fb0ca9chunk-19d72c57ae3408758b18d2568e86dc6bchunk-c6c248858d1b13ab7ee9ca13c1aeed6bchunk-54bdd22db1f84a965b5f4c06c9216d8dchunk-83ac129dc9b56f84c46760d153d68e93'}> +2024-10-30 06:53:03,683 - lightrag - INFO - get_node:query:MATCH (n:`THE GRATE`) RETURN n:result:"The Grate is a small fire in Scrooge\'s room that provides meager warmth, symbolizing Scrooge\'s cold disposition.""The Grate is a small fire in Scrooge\'s room that provides meager warmth, symbolizing Scrooge\'s cold disposition.""The Grate is a small fire in Scrooge\'s room that provides meager warmth, symbolizing Scrooge\'s cold disposition.""The Grate is a small fire in Scrooge\'s room that provides meager warmth, symbolizing Scrooge\'s cold disposition.""The Grate is part of Scrooge\'s room where a small fire burns, contributing to the bleak and cold atmosphere of his setting."', 'source_id': 'chunk-9c43dac2fcd5b578242d907ea6f8fc7b'}> +2024-10-30 06:53:03,768 - lightrag - INFO - get_node:query:MATCH (n:`THE GOOSE`) RETURN n:result:"The Goose is a central dish enjoyed by the Cratchit family during their Christmas dinner, symbolizing abundance and celebration.""The Goose is a central dish enjoyed by the Cratchit family during their Christmas dinner, symbolizing abundance and celebration.""The Goose is a central dish enjoyed by the Cratchit family during their Christmas dinner, symbolizing abundance and celebration.""The Goose is a central dish enjoyed by the Cratchit family during their Christmas dinner, symbolizing abundance and celebration.""The Goose is a central element of the Cratchit Christmas dinner, representing abundance and the joy of the holiday as the family eagerly anticipates its serving.""The Goose is a central part of the Cratchit family Christmas dinner, which they celebrate with excitement and anticipation, symbolizing abundance and joy.""The Goose is a central element of the Cratchit Christmas dinner, representing abundance and the joy of the holiday as the family eagerly anticipates its serving.""The Goose is a central element of the Cratchit Christmas dinner, representing abundance and the joy of the holiday as the family eagerly anticipates its serving.""The Goose is a central element of the Cratchit Christmas dinner, representing abundance and the joy of the holiday as the family eagerly anticipates its serving.""The Goose is a central element of the Cratchit Christmas dinner, representing abundance and the joy of the holiday as the family eagerly anticipates its serving."', 'source_id': 'chunk-503f0bfa5453467c7c61d160a3540ecachunk-7e2e7ebcc19a53b399dc03aded4743e7'}> +2024-10-30 06:53:03,854 - lightrag - INFO - get_node:query:MATCH (n:`THE WOMAN`) RETURN n:result:chunk-60fc063c79fc0d4acc91a57e79de04dcchunk-89777b838d5447c7bd1ec11282c4ee89'}> +2024-10-30 06:53:03,943 - lightrag - INFO - get_node:query:MATCH (n:`THE SCHOOLMASTER`) RETURN n:result: +2024-10-30 06:53:04,031 - lightrag - INFO - get_node:query:MATCH (n:`TWELFTH-NIGHT PARTY`) RETURN n:result: +2024-10-30 06:53:04,118 - lightrag - INFO - get_node:query:MATCH (n:`THE PHANTOM`) RETURN n:result:"The Phantom represents a ghostly presence guiding Scrooge through reflections on his life and future decisions.""The Phantom represents a ghostly presence guiding Scrooge through reflections on his life and future decisions.""The Phantom represents a ghostly presence guiding Scrooge through reflections on his life and future decisions.""The Phantom represents a ghostly presence guiding Scrooge through reflections on his life and future decisions.""The Phantom represents the supernatural element in Scrooge\'s journey of self-reflection and moral awakening."', 'source_id': 'chunk-f1a4fbcf1ed86864b9bfd5e8dba4c683'}> +2024-10-30 06:53:04,206 - lightrag - INFO - get_node:query:MATCH (n:`THE LAMPLIGHTER`) RETURN n:result:"The Lamplighter is a character who brings light to the street, symbolizing hope and joy as he dotting the dusky street with specks of light.""The Lamplighter is a character who brings light to the street, symbolizing hope and joy as he dotting the dusky street with specks of light.""The Lamplighter is a character who brings light to the street, symbolizing hope and joy as he dotting the dusky street with specks of light.""The Lamplighter is a character who brings light to the street, symbolizing hope and joy as he dotting the dusky street with specks of light.""The Lamplighter is a character who fills the street with light, representing the warmth and joy of the holiday season."', 'source_id': 'chunk-91614df5cb74cbe5e109a338a82041e9'}> +2024-10-30 06:53:04,297 - lightrag - INFO - get_node:query:MATCH (n:`MANSION`) RETURN n:result: +2024-10-30 06:53:04,387 - lightrag - INFO - get_node:query:MATCH (n:`CAROLINE`) RETURN n:result:"Caroline is portrayed as a mother filled with hope and emotion regarding her husband’s situation, revealing her character through her reactions to news.""Caroline is portrayed as a mother filled with hope and emotion regarding her husband’s situation, revealing her character through her reactions to news.""Caroline is portrayed as a mother filled with hope and emotion regarding her husband’s situation, revealing her character through her reactions to news.""Caroline is portrayed as a mother filled with hope and emotion regarding her husband’s situation, revealing her character through her reactions to news.""Caroline is portrayed as a mother filled with hope and emotion regarding her husband’s situation, revealing her character through her reactions to news."', 'source_id': 'chunk-83ac129dc9b56f84c46760d153d68e93'}> +2024-10-30 06:53:04,472 - lightrag - INFO - get_node:query:MATCH (n:`FRED`) RETURN n:result:"Fred is Ebenezer Scrooge\'s nephew, who embodies the spirit of Christmas and represents familial love and joy.""Fred is Scrooge\'s nephew who expresses admiration for Scrooge and raises a toast to his uncle during a Christmas gathering.""Fred is Scrooge\'s nephew, representing familial love and the joy of Christmas gatherings.""Fred is Scrooge\'s nephew, who invites Scrooge to dinner, emphasizing familial connections and the spirit of Christmas.""Fred is Scrooge\'s nephew, who is surprised by Scrooge\'s visit and is depicted as a friendly figure during the Christmas gathering."Fred is Ebenezer Scrooge\'s lively nephew, who embodies the spirit of Christmas and serves as a striking contrast to Scrooge\'s misanthropic nature. He represents familial love and joy, often inviting Scrooge to family gatherings and emphasizing the importance of familial connections during the holiday season. Fred expresses admiration for his uncle and raises a toast in his honor at Christmas gatherings, showcasing his warmth and festive spirit. His character highlights the warmth of family that Scrooge initially rejects, and he is depicted as a friendly figure who is surprised and pleased by Scrooge\'s unexpected visits. Overall, Fred exemplifies the joy and unity of Christmas, passionately inviting Scrooge to embrace the happiness associated with the holiday and family."Fred is Scrooge\'s nephew who expresses admiration for Scrooge and raises a toast to his uncle during a Christmas gathering.""Fred is Scrooge\'s nephew, representing familial love and the joy of Christmas gatherings.""Fred is Scrooge\'s nephew, who invites Scrooge to dinner, emphasizing familial connections and the spirit of Christmas.""Fred is Scrooge\'s nephew, who is surprised by Scrooge\'s visit and is depicted as a friendly figure during the Christmas gathering."', 'source_id': 'chunk-89777b838d5447c7bd1ec11282c4ee89chunk-e7637ff18c5ded77a68cce0a87883fadchunk-9e3921da66da5d761ab73cd849af6c43chunk-94bea83e7153fc2064aa382b494936a1chunk-8f738cb25d60a7dab782162d9d0a25ed'}> +2024-10-30 06:53:04,561 - lightrag - INFO - get_node:query:MATCH (n:`BAD REPUTE`) RETURN n:result: +2024-10-30 06:53:04,650 - lightrag - INFO - get_node:query:MATCH (n:`HOME`) RETURN n:result:"Home represents the physical and emotional center for the family, where the Christmas celebration takes place.""Home represents the physical and emotional center for the family, where the Christmas celebration takes place.""Home represents the physical and emotional center for the family, where the Christmas celebration takes place.""Home represents the physical and emotional center for the family, where the Christmas celebration takes place.""Home symbolizes warmth, safety, and family connection, representing what Scrooge yearns for but has lost in his life.""Home symbolizes warmth, safety, and family connection, representing what Scrooge yearns for but has lost in his life.""Home symbolizes warmth, safety, and family connection, representing what Scrooge yearns for but has lost in his life.""Home symbolizes warmth, safety, and family connection, representing what Scrooge yearns for but has lost in his life.""Home symbolizes warmth, safety, and family connection, representing what Scrooge yearns for but has lost in his life."', 'source_id': 'chunk-da2472b4ef2a535b62908f14d0fb0ca9chunk-c6c248858d1b13ab7ee9ca13c1aeed6b'}> +2024-10-30 06:53:04,737 - lightrag - INFO - get_node:query:MATCH (n:`THE OLD GENTLEMAN`) RETURN n:result: +2024-10-30 06:53:04,824 - lightrag - INFO - get_node:query:MATCH (n:`THE KNOCKER`) RETURN n:result:"The Knocker is a feature on Scrooge\'s door, which takes on a mystical quality when Scrooge perceives Marley\'s face in it.""The Knocker is a feature on Scrooge\'s door, which takes on a mystical quality when Scrooge perceives Marley\'s face in it.""The Knocker is a feature on Scrooge\'s door, which takes on a mystical quality when Scrooge perceives Marley\'s face in it.""The Knocker is a feature on Scrooge\'s door, which takes on a mystical quality when Scrooge perceives Marley\'s face in it.""The Knocker is a physical object that becomes a symbol of Scrooge\'s psyche, transforming into Marley\'s face, representing his guilt and past.""The Knocker is an ornate door knocker that Scrooge admires, reflecting his newfound appreciation for simple joys.""The Knocker on the door serves as a symbolic gateway to the supernatural events, being the first point of eerie interaction for Scrooge.""The Knocker is a physical object that symbolizes Scrooge\'s newfound appreciation for the simple, honest joys of life during Christmas.""The Knocker is a physical object that symbolizes Scrooge\'s newfound appreciation for the simple, honest joys of life during Christmas.""The Knocker is a physical object that symbolizes Scrooge\'s newfound appreciation for the simple, honest joys of life during Christmas.""The Knocker is a physical object that symbolizes Scrooge\'s newfound appreciation for the simple, honest joys of life during Christmas.""The Knocker is a physical object that symbolizes Scrooge\'s newfound appreciation for the simple, honest joys of life during Christmas."', 'source_id': 'chunk-d9aac3484185ac66045df92214d245d5chunk-9c43dac2fcd5b578242d907ea6f8fc7bchunk-8f738cb25d60a7dab782162d9d0a25ed'}> +2024-10-30 06:53:04,912 - lightrag - INFO - get_node:query:MATCH (n:`THE BELL`) RETURN n:result:"The Bell is described as a disused bell that starts to swing and ring during the haunting, signifying the onset of supernatural occurrences.""The Bell is a disused bell in Scrooge\'s room, which begins to swing and rings out loudly, heralding the appearance of Marley\'s Ghost.""The Bell is a disused bell in Scrooge\'s room, which begins to swing and rings out loudly, heralding the appearance of Marley\'s Ghost.""The Bell is a disused bell in Scrooge\'s room, which begins to swing and rings out loudly, heralding the appearance of Marley\'s Ghost.""The Bell is a disused bell in Scrooge\'s room, which begins to swing and rings out loudly, heralding the appearance of Marley\'s Ghost.""The Bell is a disused bell in Scrooge\'s room, which begins to swing and rings out loudly, heralding the appearance of Marley\'s Ghost."', 'source_id': 'chunk-9c43dac2fcd5b578242d907ea6f8fc7bchunk-cb661c37436355ccec2769b1d0350c5f'}> +2024-10-30 06:53:04,997 - lightrag - INFO - get_node:query:MATCH (n:`SHADOW OF HIMSELF`) RETURN n:result: +2024-10-30 06:53:05,083 - lightrag - INFO - get_node:query:MATCH (n:`MARKET-TOWN`) RETURN n:result:"The market-town appears in Scrooge\'s memories as a significant place from his childhood, representing a connection to his past.""The market-town appears in Scrooge\'s memories as a significant place from his childhood, representing a connection to his past.""The market-town appears in Scrooge\'s memories as a significant place from his childhood, representing a connection to his past.""The market-town appears in Scrooge\'s memories as a significant place from his childhood, representing a connection to his past.""The market-town appears in Scrooge\'s memories as a significant place from his childhood, representing a connection to his past."', 'source_id': 'chunk-bb21d58d36c6306fd8810ddd51c4a971'}> +2024-10-30 06:53:05,171 - lightrag - INFO - get_node:query:MATCH (n:`THE GHOST`) RETURN n:result:chunk-43c9bee23adfa77aa9dedd22401bba7dchunk-e7637ff18c5ded77a68cce0a87883fadchunk-359187e7571bda4b0b08b2e0b6581e52chunk-da2472b4ef2a535b62908f14d0fb0ca9chunk-c6c248858d1b13ab7ee9ca13c1aeed6bchunk-02baee20cc9463dbe08170a8e1043e32chunk-1aa50206d02ed89418f65f97c6441d1cchunk-cb661c37436355ccec2769b1d0350c5fchunk-54bdd22db1f84a965b5f4c06c9216d8dchunk-8590d9263cd2cd4fa583c432fc54e6c3chunk-83ac129dc9b56f84c46760d153d68e93chunk-9c43dac2fcd5b578242d907ea6f8fc7b'}> +2024-10-30 06:53:05,256 - lightrag - INFO - get_node:query:MATCH (n:`PEARS`) RETURN n:result: +2024-10-30 06:53:05,340 - lightrag - INFO - get_node:query:MATCH (n:`CRATCHIT FAMILY`) RETURN n:result:"The Cratchit Family consists of Bob, Mrs. Cratchit, and their children, embodying themes of family unity and contentment despite hardships.""The Cratchit Family consists of Bob, Mrs. Cratchit, and their children, embodying themes of family unity and contentment despite hardships.""The Cratchit Family consists of Bob, Mrs. Cratchit, and their children, embodying themes of family unity and contentment despite hardships.""The Cratchit Family consists of Bob, Mrs. Cratchit, and their children, embodying themes of family unity and contentment despite hardships.""The Cratchit Family is a close-knit family characterized by love and togetherness, celebrating Christmas with simple but joyful traditions.""The Cratchit Family is portrayed as a close-knit group who, despite their hardships, find joy and gratitude during the Christmas gathering.""The Cratchit Family is portrayed as a loving unit celebrating Christmas together, with various members actively participating in the festivities.""The Cratchit family represents a unit bound by love and resilience in the face of adversity, dealing with emotional and financial struggles.""The Cratchit Family is depicted as a warm and loving household celebrating Christmas together, with various members actively participating in the festivities.""The Cratchit Family is depicted as a warm and loving household celebrating Christmas together, with various members actively participating in the festivities.""The Cratchit Family is depicted as a warm and loving household celebrating Christmas together, with various members actively participating in the festivities.""The Cratchit Family is depicted as a warm and loving household celebrating Christmas together, with various members actively participating in the festivities.""The Cratchit Family is depicted as a warm and loving household celebrating Christmas together, with various members actively participating in the festivities."', 'source_id': 'chunk-503f0bfa5453467c7c61d160a3540ecachunk-19d72c57ae3408758b18d2568e86dc6bchunk-7e2e7ebcc19a53b399dc03aded4743e7chunk-83ac129dc9b56f84c46760d153d68e93'}> +2024-10-30 06:53:05,430 - lightrag - INFO - get_node:query:MATCH (n:`THE EVENT OF DEATH`) RETURN n:result: +2024-10-30 06:53:05,519 - lightrag - INFO - get_node:query:MATCH (n:`COLD WEATHER`) RETURN n:result:"Cold Weather sets the bleak and unforgiving atmosphere, reflecting Scrooge’s own personality and state of mind.""Cold Weather sets the bleak and unforgiving atmosphere, reflecting Scrooge’s own personality and state of mind.""Cold Weather sets the bleak and unforgiving atmosphere, reflecting Scrooge’s own personality and state of mind.""Cold Weather sets the bleak and unforgiving atmosphere, reflecting Scrooge’s own personality and state of mind.""Cold Weather sets the bleak and unforgiving atmosphere, reflecting Scrooge’s own personality and state of mind."', 'source_id': 'chunk-f1a4fbcf1ed86864b9bfd5e8dba4c683chunk-74e2466de2f67fd710ef2f20c0a8d9e0'}> +2024-10-30 06:53:05,607 - lightrag - INFO - get_node:query:MATCH (n:`THE GHOST OF MARLEY`) RETURN n:result:"The Ghost of Marley refers to the apparition that appears to Scrooge, serving as a catalyst for his transformation and moral reckoning.""The Ghost of Marley refers to the apparition that appears to Scrooge, serving as a catalyst for his transformation and moral reckoning.""The Ghost of Marley refers to the apparition that appears to Scrooge, serving as a catalyst for his transformation and moral reckoning.""The Ghost of Marley refers to the apparition that appears to Scrooge, serving as a catalyst for his transformation and moral reckoning.""The Ghost of Marley refers to the apparition that appears to Scrooge, serving as a catalyst for his transformation and moral reckoning."', 'source_id': 'chunk-d9aac3484185ac66045df92214d245d5'}> +2024-10-30 06:53:05,693 - lightrag - INFO - get_node:query:MATCH (n:`COUNTING-HOUSE`) RETURN n:result:"Scrooge\'s counting-house is the place of his work, characterized by coldness and a lack of warmth or holiday spirit.""Scrooge\'s counting-house is the place of his work, characterized by coldness and a lack of warmth or holiday spirit.""Scrooge\'s counting-house is the place of his work, characterized by coldness and a lack of warmth or holiday spirit.""Scrooge\'s counting-house is the place of his work, characterized by coldness and a lack of warmth or holiday spirit.""The Counting-House is a physical space representing the business environment where Scrooge and Marley engaged in trade but also symbolizes their limited worldview.""The Counting-house is the place where Scrooge conducted his business and represents the limitations of his previous life.""The Counting-house is the place where Scrooge conducted his business and represents the limitations of his previous life.""The Counting-house is the place where Scrooge conducted his business and represents the limitations of his previous life.""The Counting-house is the place where Scrooge conducted his business and represents the limitations of his previous life.""The Counting-house is the place where Scrooge conducted his business and represents the limitations of his previous life."', 'source_id': 'chunk-359187e7571bda4b0b08b2e0b6581e52chunk-74e2466de2f67fd710ef2f20c0a8d9e0'}> +2024-10-30 06:53:05,782 - lightrag - INFO - get_node:query:MATCH (n:`THE HUSBAND`) RETURN n:result: +2024-10-30 06:53:05,868 - lightrag - INFO - get_node:query:MATCH (n:`SCROOGE`) RETURN n:result:chunk-b0f459f5af1c3a5e0b92cbe4ee48b77bchunk-e7637ff18c5ded77a68cce0a87883fadchunk-359187e7571bda4b0b08b2e0b6581e52chunk-e1f29eeadc1d8ab46dc8a0bbd3c56b64chunk-c6c248858d1b13ab7ee9ca13c1aeed6bchunk-cb661c37436355ccec2769b1d0350c5fchunk-f1a4fbcf1ed86864b9bfd5e8dba4c683chunk-99b0ec7f7e006561352b5d65e849611dchunk-843b5b2f944c7413d9ca876e2e2f151fchunk-90b95db5c53e4364a6bee36b7aa4d70fchunk-19d72c57ae3408758b18d2568e86dc6bchunk-02baee20cc9463dbe08170a8e1043e32chunk-503f0bfa5453467c7c61d160a3540ecachunk-91572b3cd42786ba4cb2f180ca25cbf4chunk-83ac129dc9b56f84c46760d153d68e93chunk-8f738cb25d60a7dab782162d9d0a25edchunk-94bea83e7153fc2064aa382b494936a1chunk-9c43dac2fcd5b578242d907ea6f8fc7bchunk-74e2466de2f67fd710ef2f20c0a8d9e0chunk-89777b838d5447c7bd1ec11282c4ee89chunk-d9aac3484185ac66045df92214d245d5chunk-90d5764e301321c087f5a8f78b73a145chunk-91614df5cb74cbe5e109a338a82041e9chunk-54bdd22db1f84a965b5f4c06c9216d8dchunk-773d0df1dd25c356f7b771d780583e09chunk-5dac41b3f9eeaf794f0147400b1718cdchunk-43c9bee23adfa77aa9dedd22401bba7dchunk-da2472b4ef2a535b62908f14d0fb0ca9chunk-1aa50206d02ed89418f65f97c6441d1cchunk-8590d9263cd2cd4fa583c432fc54e6c3chunk-b2f98bc7abb0c67d4c86055c7fd72218chunk-bb21d58d36c6306fd8810ddd51c4a971'}> +2024-10-30 06:53:05,955 - lightrag - INFO - get_node:query:MATCH (n:`THE GENTLEMEN`) RETURN n:result: +2024-10-30 06:53:06,038 - lightrag - INFO - get_node:query:MATCH (n:`THE COUNTESS`) RETURN n:result:"The Countess is mentioned by Martha, indicating an encounter that highlights the social stratification and aspirations of the Cratchit family.""The Countess is mentioned by Martha, indicating an encounter that highlights the social stratification and aspirations of the Cratchit family.""The Countess is mentioned by Martha, indicating an encounter that highlights the social stratification and aspirations of the Cratchit family.""The Countess is mentioned by Martha, indicating an encounter that highlights the social stratification and aspirations of the Cratchit family.""The Countess is referenced by Martha, showcasing her interaction with figures of higher social status, contrasting with the Cratchit family\'s situation."', 'source_id': 'chunk-19d72c57ae3408758b18d2568e86dc6b'}> +2024-10-30 06:53:06,125 - lightrag - INFO - get_node:query:MATCH (n:`CHRISTMAS-TIME`) RETURN n:result:"Christmas-Time refers to the period surrounding Christmas, laden with connotations of joy, generosity, and family gatherings, which Scrooge vehemently criticizes.""Christmas-Time refers to the period surrounding Christmas, laden with connotations of joy, generosity, and family gatherings, which Scrooge vehemently criticizes.""Christmas-Time refers to the period surrounding Christmas, laden with connotations of joy, generosity, and family gatherings, which Scrooge vehemently criticizes.""Christmas-Time refers to the period surrounding Christmas, laden with connotations of joy, generosity, and family gatherings, which Scrooge vehemently criticizes.""Christmas-time is characterized as a period filled with festivities, joy, and community engagement, which Scrooge regards cynically.""Christmas-time represents the festive season, a recurring theme that evokes memories and emotions in Scrooge’s reflections.""Christmas-time serves as a backdrop for the narrative, emphasizing themes of reflection, mortality, and social interactions.""Christmas-time symbolizes a period of joy and reunion, characterized by scenes of celebration and warmth in the story.""Christmas-time symbolizes a period of joy and reunion, characterized by scenes of celebration and warmth in the story.""Christmas-time symbolizes a period of joy and reunion, characterized by scenes of celebration and warmth in the story.""Christmas-time symbolizes a period of joy and reunion, characterized by scenes of celebration and warmth in the story.""Christmas-time symbolizes a period of joy and reunion, characterized by scenes of celebration and warmth in the story."', 'source_id': 'chunk-f1a4fbcf1ed86864b9bfd5e8dba4c683chunk-5dac41b3f9eeaf794f0147400b1718cdchunk-c6c248858d1b13ab7ee9ca13c1aeed6b'}> +2024-10-30 06:53:06,213 - lightrag - INFO - get_node:query:MATCH (n:`THE YOUNG GIRL`) RETURN n:result: +2024-10-30 06:53:06,301 - lightrag - INFO - get_node:query:MATCH (n:`THE CLOCK`) RETURN n:result:"The Clock is mentioned as malfunctioning, which symbolizes the confusion and distortion of time that Scrooge experiences during his nighttime visitations.""The Clock serves as a symbol of time passing, reflecting Scrooge\'s disorientation regarding time as he transitions between reality and the supernatural.""The Clock signifies the passage of time during the Domestic Ball and plays a role in marking the end of the celebration.""The Clock serves as a symbol of time passing, reflecting Scrooge\'s disorientation regarding time as he transitions between reality and the supernatural.""The Clock signifies the passage of time during the Domestic Ball and plays a role in marking the end of the celebration.""The Clock serves as a symbol of time passing, reflecting Scrooge\'s disorientation regarding time as he transitions between reality and the supernatural.""The Clock signifies the passage of time during the Domestic Ball and plays a role in marking the end of the celebration.""The Clock serves as a symbol of time passing, reflecting Scrooge\'s disorientation regarding time as he transitions between reality and the supernatural.""The Clock signifies the passage of time during the Domestic Ball and plays a role in marking the end of the celebration.""The Clock serves as a symbol of time passing, reflecting Scrooge\'s disorientation regarding time as he transitions between reality and the supernatural.""The Clock signifies the passage of time during the Domestic Ball and plays a role in marking the end of the celebration."', 'source_id': 'chunk-c7b10789a9cb0af6c553730b29bd9034chunk-b2f98bc7abb0c67d4c86055c7fd72218chunk-cb661c37436355ccec2769b1d0350c5f'}> +2024-10-30 06:53:06,391 - lightrag - INFO - get_node:query:MATCH (n:`THE COMELY MATRON`) RETURN n:result: +2024-10-30 06:53:06,482 - lightrag - INFO - get_node:query:MATCH (n:`MASTER SCROOGE`) RETURN n:result: +2024-10-30 06:53:06,575 - lightrag - INFO - get_node:query:MATCH (n:`GREAT BRITAIN`) RETURN n:result:"Great Britain is a location mentioned as having chimneys that appear to be catching fire and is the setting for a gloomy climate during Christmas time.""Great Britain is a location mentioned as having chimneys that appear to be catching fire and is the setting for a gloomy climate during Christmas time.""Great Britain is a location mentioned as having chimneys that appear to be catching fire and is the setting for a gloomy climate during Christmas time.""Great Britain is a location mentioned as having chimneys that appear to be catching fire and is the setting for a gloomy climate during Christmas time.""Great Britain is referenced as a location suffering from severe weather, which contrasts with the cheerful activities of its people during Christmas."', 'source_id': 'chunk-99b0ec7f7e006561352b5d65e849611d'}> +2024-10-30 06:53:06,664 - lightrag - INFO - get_node:query:MATCH (n:`SCHOOL`) RETURN n:result: +2024-10-30 06:53:06,752 - lightrag - INFO - get_node:query:MATCH (n:`THE COUNTING-HOUSE`) RETURN n:result:"The Counting-House is where Scrooge works and is characterized by its cold and unwelcoming environment.""The Counting-House is the place where Scrooge works, reflecting a business environment lacking warmth or joy.""The Counting-House is the place where Scrooge works, reflecting a business environment lacking warmth or joy.""The Counting-House is the place where Scrooge works, reflecting a business environment lacking warmth or joy.""The Counting-House is the place where Scrooge works, reflecting a business environment lacking warmth or joy.""The Counting-House is the place where Scrooge works, reflecting a business environment lacking warmth or joy."', 'source_id': 'chunk-d9aac3484185ac66045df92214d245d5chunk-74e2466de2f67fd710ef2f20c0a8d9e0'}> +2024-10-30 06:53:06,840 - lightrag - INFO - get_node:query:MATCH (n:`THE DRESSING-GOWN`) RETURN n:result:"The Dressing-Gown is worn by Scrooge, symbolizing his state of vulnerability and introspection as he grapples with profound ideas in the narrative.""The Dressing-Gown is worn by Scrooge, symbolizing his state of vulnerability and introspection as he grapples with profound ideas in the narrative.""The Dressing-Gown is worn by Scrooge, symbolizing his state of vulnerability and introspection as he grapples with profound ideas in the narrative.""The Dressing-Gown is worn by Scrooge, symbolizing his state of vulnerability and introspection as he grapples with profound ideas in the narrative.""The Dressing-Gown is worn by Scrooge, symbolizing his state of vulnerability and introspection as he grapples with profound ideas in the narrative."', 'source_id': 'chunk-c7b10789a9cb0af6c553730b29bd9034chunk-9c43dac2fcd5b578242d907ea6f8fc7b'}> +2024-10-30 06:53:06,931 - lightrag - INFO - get_node:query:MATCH (n:`CHURCH`) RETURN n:result: +2024-10-30 06:53:07,018 - lightrag - INFO - get_node:query:MATCH (n:`BOYS`) RETURN n:result: +2024-10-30 06:53:07,105 - lightrag - INFO - get_node:query:MATCH (n:`THE COLD`) RETURN n:result: +2024-10-30 06:53:07,190 - lightrag - INFO - get_node:query:MATCH (n:`THE WINE-MERCHANT'S CELLAR`) RETURN n:result:"The Wine-Merchant\'s Cellar is a location within The House where sounds of dragging chains are heard, signifying a haunted presence.""The Wine-Merchant\'s Cellar is a location within The House where sounds of dragging chains are heard, signifying a haunted presence.""The Wine-Merchant\'s Cellar is a location within The House where sounds of dragging chains are heard, signifying a haunted presence.""The Wine-Merchant\'s Cellar is a location within The House where sounds of dragging chains are heard, signifying a haunted presence.""The Wine-Merchant\'s Cellar is a location within The House where sounds of dragging chains are heard, signifying a haunted presence."', 'source_id': 'chunk-9c43dac2fcd5b578242d907ea6f8fc7b'}> +2024-10-30 06:53:07,277 - lightrag - INFO - get_node:query:MATCH (n:`THE PARROT`) RETURN n:result: +2024-10-30 06:53:07,361 - lightrag - INFO - get_node:query:MATCH (n:`THE MEMORY`) RETURN n:result: +2024-10-30 06:53:07,452 - lightrag - INFO - get_node:query:MATCH (n:`SCROOGE AND MARLEY'S`) RETURN n:result: +2024-10-30 06:53:07,540 - lightrag - INFO - get_node:query:MATCH (n:`IGNORANCE`) RETURN n:result:"Ignorance is personified as a boy that symbolizes the dangers of ignoring social issues and the consequences of a lack of awareness.""Ignorance personifies a societal failing, depicted as a child, warning of the dangers of neglect and moral responsibility.""Ignorance refers to one of the two children presented by the Spirit, symbolizing societal neglect and the consequences of lack of awareness.""Ignorance personifies a societal failing, depicted as a child, warning of the dangers of neglect and moral responsibility.""Ignorance refers to one of the two children presented by the Spirit, symbolizing societal neglect and the consequences of lack of awareness.""Ignorance personifies a societal failing, depicted as a child, warning of the dangers of neglect and moral responsibility.""Ignorance refers to one of the two children presented by the Spirit, symbolizing societal neglect and the consequences of lack of awareness.""Ignorance personifies a societal failing, depicted as a child, warning of the dangers of neglect and moral responsibility.""Ignorance refers to one of the two children presented by the Spirit, symbolizing societal neglect and the consequences of lack of awareness.""Ignorance personifies a societal failing, depicted as a child, warning of the dangers of neglect and moral responsibility.""Ignorance refers to one of the two children presented by the Spirit, symbolizing societal neglect and the consequences of lack of awareness."', 'source_id': 'chunk-02baee20cc9463dbe08170a8e1043e32chunk-e7637ff18c5ded77a68cce0a87883fad'}> +2024-10-30 06:53:07,629 - lightrag - INFO - get_node:query:MATCH (n:`BUSINESSMEN`) RETURN n:result: +2024-10-30 06:53:07,714 - lightrag - INFO - get_node:query:MATCH (n:`THE TANK`) RETURN n:result:"The Tank is the workplace setting where Bob Cratchit works under Scrooge, highlighting the power dynamics in their relationship.""The Tank is the workplace setting where Bob Cratchit works under Scrooge, highlighting the power dynamics in their relationship.""The Tank is the workplace setting where Bob Cratchit works under Scrooge, highlighting the power dynamics in their relationship.""The Tank is the workplace setting where Bob Cratchit works under Scrooge, highlighting the power dynamics in their relationship.""The Tank refers to Bob Cratchit\'s work area, where he encounters Scrooge and faces the consequences of arriving late."', 'source_id': 'chunk-94bea83e7153fc2064aa382b494936a1'}> +2024-10-30 06:53:07,799 - lightrag - INFO - get_node:query:MATCH (n:`GAOL`) RETURN n:result:"Gaol refers to a prison, illustrating the theme of social justice and the conditions of the impoverished in society.""Gaol refers to a prison, illustrating the theme of social justice and the conditions of the impoverished in society.""Gaol refers to a prison, illustrating the theme of social justice and the conditions of the impoverished in society.""Gaol refers to a prison, illustrating the theme of social justice and the conditions of the impoverished in society.""The Gaol symbolizes imprisonment and despair, representing the societal failings and the need for mercy and understanding."', 'source_id': 'chunk-e7637ff18c5ded77a68cce0a87883fad'}> +2024-10-30 06:53:07,889 - lightrag - INFO - get_node:query:MATCH (n:`FIGS`) RETURN n:result: +2024-10-30 06:53:07,977 - lightrag - INFO - get_node:query:MATCH (n:`THE GHOST OF JACOB MARLEY`) RETURN n:result: +2024-10-30 06:53:08,068 - lightrag - INFO - get_node:query:MATCH (n:`CHRISTMAS EVE`) RETURN n:result:"Christmas Eve is a significant time in the story, marked by celebrations and gatherings led by Fezziwig.""Christmas Eve is a significant time in the story, marked by celebrations and gatherings led by Fezziwig.""Christmas Eve is a significant time in the story, marked by celebrations and gatherings led by Fezziwig.""Christmas Eve is a significant time in the story, marked by celebrations and gatherings led by Fezziwig.""Christmas Eve is depicted as a significant time, bringing about joyful activities like sliding down snow hills, contrasting with Scrooge\'s dour demeanor.""Christmas Eve is the night before Christmas, serving as the backdrop for the lively celebrations and dances hosted by Fezziwig.""Christmas Eve is the specific time setting in the story, highlighting the contrast between the joy of the holiday and Scrooge\'s negativity.""Christmas Eve is the day prior to Christmas, a time that carries festive significance and anticipation in the narrative.""Christmas Eve is the day prior to Christmas, a time that carries festive significance and anticipation in the narrative.""Christmas Eve is the day prior to Christmas, a time that carries festive significance and anticipation in the narrative.""Christmas Eve is the day prior to Christmas, a time that carries festive significance and anticipation in the narrative.""Christmas Eve is the day prior to Christmas, a time that carries festive significance and anticipation in the narrative."', 'source_id': 'chunk-d9aac3484185ac66045df92214d245d5chunk-8bc1edd983869352d14cf0886a9175a7chunk-74e2466de2f67fd710ef2f20c0a8d9e0'}> +2024-10-30 06:53:08,152 - lightrag - INFO - get_node:query:MATCH (n:`CHRISTMAS DAY`) RETURN n:result:"Christmas Day is a significant holiday that marks the time of Scrooge\'s revelation and intent to change.""Christmas Day is celebrated by the Cratchit family with a communal meal and expressions of joy and togetherness, highlighting the importance of family and gratitude.""Christmas Day serves as the central event around which the family gathers and reflects on their feelings towards Scrooge.""Christmas Day is portrayed as a day of celebration and gathering, emphasizing themes of togetherness and generosity.""Christmas Day serves as a central event for the gathering of the Cratchit family, filled with mixed feelings about their employer, Scrooge.""Christmas Day serves as the backdrop for Scrooge\'s transformation, representing joy, celebration, and new beginnings.""Christmas Day is portrayed as a day of celebration and gathering, emphasizing themes of togetherness and generosity.""Christmas Day serves as a central event for the gathering of the Cratchit family, filled with mixed feelings about their employer, Scrooge.""Christmas Day serves as the backdrop for Scrooge\'s transformation, representing joy, celebration, and new beginnings.""Christmas Day is portrayed as a day of celebration and gathering, emphasizing themes of togetherness and generosity.""Christmas Day serves as a central event for the gathering of the Cratchit family, filled with mixed feelings about their employer, Scrooge.""Christmas Day serves as the backdrop for Scrooge\'s transformation, representing joy, celebration, and new beginnings.""Christmas Day is portrayed as a day of celebration and gathering, emphasizing themes of togetherness and generosity.""Christmas Day serves as a central event for the gathering of the Cratchit family, filled with mixed feelings about their employer, Scrooge.""Christmas Day serves as the backdrop for Scrooge\'s transformation, representing joy, celebration, and new beginnings.""Christmas Day is portrayed as a day of celebration and gathering, emphasizing themes of togetherness and generosity.""Christmas Day serves as a central event for the gathering of the Cratchit family, filled with mixed feelings about their employer, Scrooge.""Christmas Day serves as the backdrop for Scrooge\'s transformation, representing joy, celebration, and new beginnings."', 'source_id': 'chunk-19d72c57ae3408758b18d2568e86dc6bchunk-90b95db5c53e4364a6bee36b7aa4d70fchunk-7e2e7ebcc19a53b399dc03aded4743e7chunk-b0f459f5af1c3a5e0b92cbe4ee48b77b'}> +2024-10-30 06:53:08,237 - lightrag - INFO - get_node:query:MATCH (n:`THE PHANTOM VOICES`) RETURN n:result: +2024-10-30 06:53:08,325 - lightrag - INFO - get_node:query:MATCH (n:`CHILD`) RETURN n:result: +2024-10-30 06:53:08,415 - lightrag - INFO - get_node:query:MATCH (n:`CLOCK`) RETURN n:result: +2024-10-30 06:53:08,505 - lightrag - INFO - get_node:query:MATCH (n:`JACOB`) RETURN n:result:"Jacob is Scrooge\'s old partner whose death is acknowledged, influencing Scrooge\'s reflections on his own life and future.""Jacob is Scrooge\'s old partner whose death is acknowledged, influencing Scrooge\'s reflections on his own life and future.""Jacob is Scrooge\'s old partner whose death is acknowledged, influencing Scrooge\'s reflections on his own life and future.""Jacob is Scrooge\'s old partner whose death is acknowledged, influencing Scrooge\'s reflections on his own life and future.""Jacob is referenced as Scrooge\'s old partner, significant for his recent death and the impact of this event on Scrooge\'s reflections."', 'source_id': 'chunk-f1a4fbcf1ed86864b9bfd5e8dba4c683'}> +2024-10-30 06:53:08,593 - lightrag - INFO - get_node:query:MATCH (n:`GHOST OF JACOB MARLEY`) RETURN n:result:"The Ghost of Jacob Marley is the specter of Scrooge\'s former business partner, who warns Scrooge to change his ways.""The Ghost of Jacob Marley is the specter of Scrooge\'s former business partner, who warns Scrooge to change his ways.""The Ghost of Jacob Marley is the specter of Scrooge\'s former business partner, who warns Scrooge to change his ways.""The Ghost of Jacob Marley is the specter of Scrooge\'s former business partner, who warns Scrooge to change his ways.""The Ghost of Jacob Marley is the specter of Scrooge\'s former business partner, who warns Scrooge to change his ways."', 'source_id': 'chunk-9e3921da66da5d761ab73cd849af6c43'}> +2024-10-30 06:53:08,683 - lightrag - INFO - get_node:query:MATCH (n:`THE GHOST OF CHRISTMAS PAST`) RETURN n:result:"The Ghost of Christmas Past is a supernatural entity that allows Scrooge to revisit and reflect on his previous life experiences.""The Ghost of Christmas Past is a supernatural entity that allows Scrooge to revisit and reflect on his previous life experiences.""The Ghost of Christmas Past is a supernatural entity that allows Scrooge to revisit and reflect on his previous life experiences.""The Ghost of Christmas Past is a supernatural entity that allows Scrooge to revisit and reflect on his previous life experiences.""The Ghost of Christmas Past is a supernatural entity that shows Scrooge moments from his past, eliciting reflection and emotion.""The Ghost of Christmas Past represents Scrooge\'s history and helps him confront his former self and decisions made in life.""The Ghost of Christmas Past represents Scrooge\'s history and helps him confront his former self and decisions made in life.""The Ghost of Christmas Past represents Scrooge\'s history and helps him confront his former self and decisions made in life.""The Ghost of Christmas Past represents Scrooge\'s history and helps him confront his former self and decisions made in life.""The Ghost of Christmas Past represents Scrooge\'s history and helps him confront his former self and decisions made in life."', 'source_id': 'chunk-b2f98bc7abb0c67d4c86055c7fd72218chunk-90b95db5c53e4364a6bee36b7aa4d70f'}> +2024-10-30 06:53:08,770 - lightrag - INFO - get_node:query:MATCH (n:`THE TURKEY`) RETURN n:result:"The Turkey represents a key symbol of generosity and festivity during Christmas, as Scrooge purchases it to spread joy.""The Turkey symbolizes the generosity and festive spirit that Scrooge embraces following his transformation.""The Turkey represents a key symbol of generosity and festivity during Christmas, as Scrooge purchases it to spread joy.""The Turkey symbolizes the generosity and festive spirit that Scrooge embraces following his transformation.""The Turkey represents a key symbol of generosity and festivity during Christmas, as Scrooge purchases it to spread joy.""The Turkey symbolizes the generosity and festive spirit that Scrooge embraces following his transformation.""The Turkey represents a key symbol of generosity and festivity during Christmas, as Scrooge purchases it to spread joy.""The Turkey symbolizes the generosity and festive spirit that Scrooge embraces following his transformation.""The Turkey represents a key symbol of generosity and festivity during Christmas, as Scrooge purchases it to spread joy.""The Turkey symbolizes the generosity and festive spirit that Scrooge embraces following his transformation."', 'source_id': 'chunk-8f738cb25d60a7dab782162d9d0a25edchunk-90b95db5c53e4364a6bee36b7aa4d70f'}> +2024-10-30 06:53:08,855 - lightrag - INFO - get_node:query:MATCH (n:`MISERY'S REFUGE`) RETURN n:result: +2024-10-30 06:53:08,942 - lightrag - INFO - get_node:query:MATCH (n:`BEGGARS`) RETURN n:result: +2024-10-30 06:53:09,026 - lightrag - INFO - get_node:query:MATCH (n:`OLD JOE`) RETURN n:result:"Old Joe is a grey-haired man who runs a shop where people come to sell their belongings after a death, embodying a rough, pragmatic character.""Old Joe is a grey-haired man who runs a shop where people come to sell their belongings after a death, embodying a rough, pragmatic character.""Old Joe is a grey-haired man who runs a shop where people come to sell their belongings after a death, embodying a rough, pragmatic character.""Old Joe is a grey-haired man who runs a shop where people come to sell their belongings after a death, embodying a rough, pragmatic character.""Old Joe is a grey-haired man, nearly seventy years old, who runs a shop and conducts business in a rather nonchalant manner, showcasing a certain charm amidst his questionable dealings."', 'source_id': 'chunk-60fc063c79fc0d4acc91a57e79de04dc'}> +2024-10-30 06:53:09,116 - lightrag - INFO - get_node:query:MATCH (n:`THE THREE SPIRITS`) RETURN n:result:"The Three Spirits are the apparitions that Jacob Marley warns Scrooge about, who will visit him to guide him toward redemption.""The Three Spirits are the apparitions that Jacob Marley warns Scrooge about, who will visit him to guide him toward redemption.""The Three Spirits are the apparitions that Jacob Marley warns Scrooge about, who will visit him to guide him toward redemption.""The Three Spirits are the apparitions that Jacob Marley warns Scrooge about, who will visit him to guide him toward redemption.""The Three Spirits refer to the supernatural beings that are prophesied to visit Scrooge, each representing different aspects of time and morality."', 'source_id': 'chunk-cb661c37436355ccec2769b1d0350c5f'}> +2024-10-30 06:53:09,202 - lightrag - INFO - get_node:query:MATCH (n:`FEZZIWIG`) RETURN n:result:"Fezziwig is a character known for hosting a domestic ball that brings joy and merriment to the participants, showcasing his ability to create happiness.""Fezziwig is a joyful and lively character who dances with Mrs. Fezziwig, embodying the festive spirit of Christmas.""Fezziwig is presented as Scrooge\'s former employer, known for his jovial nature and generous spirit, who plays a significant role in Scrooge\'s memories.""Fezziwig is the owner of a business where festive celebrations take place, known for his jovial character and ability to create a lively atmosphere."Fezziwig is a character renowned for his role as a joyful and jovial employer who hosts domestic balls, creating an atmosphere filled with happiness and merriment for his participants. He is depicted as a kind-hearted figure who organizes lively Christmas festivities for his employees, exemplifying kindness and generosity. Fezziwig plays a significant role in the memories of Ebenezer Scrooge, being portrayed as his former employer who embodies the true spirit of Christmas.\n\nHe is often seen dancing with his wife, Mrs. Fezziwig, which further illustrates his cheerful nature and the festive spirit surrounding the celebrations. As the owner of a business where these vibrant festivities take place, Fezziwig is celebrated for his ability to create a lively and joyful environment, leaving a lasting impression on those who encounter him during the festive seasons. His portrayal encapsulates the essence of joy, generosity, and the festive spirit, making him a beloved character in the narrative of Scrooge\'s past."Fezziwig is a joyful and lively character who dances with Mrs. Fezziwig, embodying the festive spirit of Christmas.""Fezziwig is presented as Scrooge\'s former employer, known for his jovial nature and generous spirit, who plays a significant role in Scrooge\'s memories.""Fezziwig is the owner of a business where festive celebrations take place, known for his jovial character and ability to create a lively atmosphere."', 'source_id': 'chunk-b2f98bc7abb0c67d4c86055c7fd72218chunk-c6c248858d1b13ab7ee9ca13c1aeed6bchunk-8bc1edd983869352d14cf0886a9175a7chunk-89777b838d5447c7bd1ec11282c4ee89'}> +2024-10-30 06:53:09,288 - lightrag - INFO - get_node:query:MATCH (n:`TOPPER`) RETURN n:result:chunk-43c9bee23adfa77aa9dedd22401bba7dchunk-94bea83e7153fc2064aa382b494936a1'}> +2024-10-30 06:53:09,392 - lightrag - INFO - get_node:query:MATCH (n:`THE GHOST OF CHRISTMAS FUTURE`) RETURN n:result: +2024-10-30 06:53:09,486 - lightrag - INFO - get_node:query:MATCH (n:`DARKNESS`) RETURN n:result: +2024-10-30 06:53:09,573 - lightrag - INFO - get_node:query:MATCH (n:`THE CRATCHIT HOUSEHOLD`) RETURN n:result: +2024-10-30 06:53:09,659 - lightrag - INFO - get_node:query:MATCH (n:`THE HEAVY CHAIN`) RETURN n:result: +2024-10-30 06:53:09,745 - lightrag - INFO - get_node:query:MATCH (n:`MARTHA`) RETURN n:result:"Martha is the daughter in the Cratchit family, who makes a dramatic entrance to surprise her family, highlighting the family\'s closeness.""Martha is the daughter in the Cratchit family, who makes a dramatic entrance to surprise her family, highlighting the family\'s closeness.""Martha is the daughter in the Cratchit family, who makes a dramatic entrance to surprise her family, highlighting the family\'s closeness.""Martha is the daughter in the Cratchit family, who makes a dramatic entrance to surprise her family, highlighting the family\'s closeness.""Martha is the daughter in the Cratchit family, who makes a dramatic entrance to surprise her family, highlighting the family\'s closeness."', 'source_id': 'chunk-19d72c57ae3408758b18d2568e86dc6bchunk-7e2e7ebcc19a53b399dc03aded4743e7'}> +2024-10-30 06:53:09,830 - lightrag - INFO - get_node:query:MATCH (n:`PEOPLE`) RETURN n:result: +2024-10-30 06:53:09,919 - lightrag - INFO - get_node:query:MATCH (n:`THE DOWERLESS GIRL`) RETURN n:result: +2024-10-30 06:53:10,003 - lightrag - INFO - get_node:query:MATCH (n:`THE GHOST OF CHRISTMAS PRESENT`) RETURN n:result:"The Ghost of Christmas Present is a supernatural being that shows Scrooge the true spirit of Christmas, including kindness towards the poor.""The Ghost of Christmas Present signifies abundance and the spirit of joy that Scrooge is encouraged to embrace.""The Ghost of Christmas Present is one of the spirits that help Scrooge understand the importance of generosity and compassion during the festive season.""The Ghost of Christmas Present is one of the spirits that help Scrooge understand the importance of generosity and compassion during the festive season.""The Ghost of Christmas Present is one of the spirits that help Scrooge understand the importance of generosity and compassion during the festive season.""The Ghost of Christmas Present is one of the spirits that help Scrooge understand the importance of generosity and compassion during the festive season.""The Ghost of Christmas Present is one of the spirits that help Scrooge understand the importance of generosity and compassion during the festive season."', 'source_id': 'chunk-43c9bee23adfa77aa9dedd22401bba7dchunk-90b95db5c53e4364a6bee36b7aa4d70fchunk-b0f459f5af1c3a5e0b92cbe4ee48b77b'}> +2024-10-30 06:53:10,091 - lightrag - INFO - get_node:query:MATCH (n:`THE FATHER`) RETURN n:result:"The Father is a character who returns home and is greeted with excitement, embodying family warmth and joy during Christmas celebrations.""The Father is a character who returns home with presents, symbolizing the joy of family and the spirit of giving during Christmas.""The Father is a character who returns home and is greeted with excitement, embodying family warmth and joy during Christmas celebrations.""The Father is a character who returns home with presents, symbolizing the joy of family and the spirit of giving during Christmas.""The Father is a character who returns home and is greeted with excitement, embodying family warmth and joy during Christmas celebrations.""The Father is a character who returns home with presents, symbolizing the joy of family and the spirit of giving during Christmas.""The Father is a character who returns home and is greeted with excitement, embodying family warmth and joy during Christmas celebrations.""The Father is a character who returns home with presents, symbolizing the joy of family and the spirit of giving during Christmas.""The Father is a character who returns home and is greeted with excitement, embodying family warmth and joy during Christmas celebrations.""The Father is a character who returns home with presents, symbolizing the joy of family and the spirit of giving during Christmas."', 'source_id': 'chunk-54bdd22db1f84a965b5f4c06c9216d8dchunk-da2472b4ef2a535b62908f14d0fb0ca9'}> +2024-10-30 06:53:10,176 - lightrag - INFO - get_node:query:MATCH (n:`THE DECEASED MAN`) RETURN n:result: +2024-10-30 06:53:10,265 - lightrag - INFO - get_node:query:MATCH (n:`CHRISTMAS EVES`) RETURN n:result:"Christmas Eves refer to the time periods associated with the spirits\' visits, specifically connecting to themes of reflection and redemption during the festive season.""Christmas Eves refer to the time periods associated with the spirits\' visits, specifically connecting to themes of reflection and redemption during the festive season.""Christmas Eves refer to the time periods associated with the spirits\' visits, specifically connecting to themes of reflection and redemption during the festive season.""Christmas Eves refer to the time periods associated with the spirits\' visits, specifically connecting to themes of reflection and redemption during the festive season.""Christmas Eves refers to the recurring time periods that Marley reflects upon, indicating the weight of his past decisions leading to regret."', 'source_id': 'chunk-359187e7571bda4b0b08b2e0b6581e52'}> +2024-10-30 06:53:10,357 - lightrag - INFO - get_node:query:MATCH (n:`GRAVE`) RETURN n:result: +2024-10-30 06:53:10,445 - lightrag - INFO - get_node:query:MATCH (n:`THE FOUNDER OF THE FEAST`) RETURN n:result: +2024-10-30 06:53:10,534 - lightrag - INFO - get_node:query:MATCH (n:`THE CRATCHIT HOUSE`) RETURN n:result: +2024-10-30 06:53:10,624 - lightrag - INFO - get_node:query:MATCH (n:`FAN`) RETURN n:result:"Fan is Ebenezer Scrooge\'s sister, who represents love and kindness from Scrooge\'s past, influencing his character development.""Fan is Ebenezer Scrooge\'s sister, who represents love and kindness from Scrooge\'s past, influencing his character development.""Fan is Ebenezer Scrooge\'s sister, who represents love and kindness from Scrooge\'s past, influencing his character development.""Fan is Ebenezer Scrooge\'s sister, who represents love and kindness from Scrooge\'s past, influencing his character development.""Fan is Scrooge\'s caring sister who represents innocence and love, showcasing a more tender side of Scrooge’s past.""Fan is Scrooge\'s younger sister, who brings joy and the promise of a happier home, reflecting on their childhood relationship.""Fan is Scrooge\'s younger sister, who brings joy and the promise of a happier home, reflecting on their childhood relationship.""Fan is Scrooge\'s younger sister, who brings joy and the promise of a happier home, reflecting on their childhood relationship.""Fan is Scrooge\'s younger sister, who brings joy and the promise of a happier home, reflecting on their childhood relationship.""Fan is Scrooge\'s younger sister, who brings joy and the promise of a happier home, reflecting on their childhood relationship."', 'source_id': 'chunk-c6c248858d1b13ab7ee9ca13c1aeed6bchunk-9e3921da66da5d761ab73cd849af6c43'}> +2024-10-30 06:53:10,711 - lightrag - INFO - get_node:query:MATCH (n:`THE OFFICE`) RETURN n:result:"The Office is Scrooge\'s workplace, signifying his past life and the memories associated with his business dealings.""The Office is Scrooge\'s workplace, signifying his past life and the memories associated with his business dealings.""The Office is Scrooge\'s workplace, signifying his past life and the memories associated with his business dealings.""The Office is Scrooge\'s workplace, signifying his past life and the memories associated with his business dealings.""The Office refers to Scrooge\'s workplace, emphasizing his isolation and the business-focused nature of his life.""The Office refers to the workplace where Scrooge and Bob Cratchit interact, highlighting the power dynamics and work-related tension.""The Office refers to Scrooge\'s workplace, emphasizing his isolation and the business-focused nature of his life.""The Office refers to the workplace where Scrooge and Bob Cratchit interact, highlighting the power dynamics and work-related tension.""The Office refers to Scrooge\'s workplace, emphasizing his isolation and the business-focused nature of his life.""The Office refers to the workplace where Scrooge and Bob Cratchit interact, highlighting the power dynamics and work-related tension.""The Office refers to Scrooge\'s workplace, emphasizing his isolation and the business-focused nature of his life.""The Office refers to the workplace where Scrooge and Bob Cratchit interact, highlighting the power dynamics and work-related tension.""The Office refers to Scrooge\'s workplace, emphasizing his isolation and the business-focused nature of his life.""The Office refers to the workplace where Scrooge and Bob Cratchit interact, highlighting the power dynamics and work-related tension."', 'source_id': 'chunk-da2472b4ef2a535b62908f14d0fb0ca9chunk-91572b3cd42786ba4cb2f180ca25cbf4chunk-94bea83e7153fc2064aa382b494936a1'}> +2024-10-30 06:53:10,796 - lightrag - INFO - get_node:query:MATCH (n:`HOLLY`) RETURN n:result:"Holly is a plant associated with Christmas, mentioned among other decorations that contribute to the festive atmosphere.""Holly is a symbol held by The Ghost, representing peace and goodwill, contrasting with the cold wintry atmosphere around Scrooge.""Holly is mentioned as part of the traditional decorations associated with Christmas, symbolizing festivity.""Holly represents a traditional decoration associated with Christmas, symbolizing festivity and the presence of the Christmas spirit.""Holly is a symbol held by The Ghost, representing peace and goodwill, contrasting with the cold wintry atmosphere around Scrooge.""Holly is mentioned as part of the traditional decorations associated with Christmas, symbolizing festivity.""Holly represents a traditional decoration associated with Christmas, symbolizing festivity and the presence of the Christmas spirit.""Holly is a symbol held by The Ghost, representing peace and goodwill, contrasting with the cold wintry atmosphere around Scrooge.""Holly is mentioned as part of the traditional decorations associated with Christmas, symbolizing festivity.""Holly represents a traditional decoration associated with Christmas, symbolizing festivity and the presence of the Christmas spirit.""Holly is a symbol held by The Ghost, representing peace and goodwill, contrasting with the cold wintry atmosphere around Scrooge.""Holly is mentioned as part of the traditional decorations associated with Christmas, symbolizing festivity.""Holly represents a traditional decoration associated with Christmas, symbolizing festivity and the presence of the Christmas spirit.""Holly is a symbol held by The Ghost, representing peace and goodwill, contrasting with the cold wintry atmosphere around Scrooge.""Holly is mentioned as part of the traditional decorations associated with Christmas, symbolizing festivity.""Holly represents a traditional decoration associated with Christmas, symbolizing festivity and the presence of the Christmas spirit."', 'source_id': 'chunk-c7b10789a9cb0af6c553730b29bd9034chunk-99b0ec7f7e006561352b5d65e849611dchunk-843b5b2f944c7413d9ca876e2e2f151f'}> +2024-10-30 06:53:10,882 - lightrag - INFO - get_node:query:MATCH (n:`DICK`) RETURN n:result:"Dick is associated with Scrooge\'s former self, evoking nostalgic memories as Scrooge witnesses the past.""Dick is associated with Scrooge\'s former self, evoking nostalgic memories as Scrooge witnesses the past.""Dick is associated with Scrooge\'s former self, evoking nostalgic memories as Scrooge witnesses the past.""Dick is associated with Scrooge\'s former self, evoking nostalgic memories as Scrooge witnesses the past.""Dick is associated with Scrooge\'s former self, evoking nostalgic memories as Scrooge witnesses the past."', 'source_id': 'chunk-b2f98bc7abb0c67d4c86055c7fd72218'}> +2024-10-30 06:53:10,971 - lightrag - INFO - get_node:query:MATCH (n:`THE GROCERS`) RETURN n:result: +2024-10-30 06:53:11,062 - lightrag - INFO - get_node:query:MATCH (n:`TIM`) RETURN n:result: +2024-10-30 06:53:11,152 - lightrag - INFO - get_node:query:MATCH (n:`GHOST OF CHRISTMAS PAST`) RETURN n:result:"The Ghost of Christmas Past is a supernatural entity that aids Scrooge in reflecting on his past experiences and emotions.""The Ghost of Christmas Past is one of the spirits in A Christmas Carol that shows Scrooge his past, prompting reflection and change.""The Ghost of Christmas Past represents a spirit that guides Scrooge to revisit and reflect on his past experiences and memories.""The Ghost of Christmas Past is one of the spirits in A Christmas Carol that shows Scrooge his past, prompting reflection and change.""The Ghost of Christmas Past represents a spirit that guides Scrooge to revisit and reflect on his past experiences and memories.""The Ghost of Christmas Past is one of the spirits in A Christmas Carol that shows Scrooge his past, prompting reflection and change.""The Ghost of Christmas Past represents a spirit that guides Scrooge to revisit and reflect on his past experiences and memories.""The Ghost of Christmas Past is one of the spirits in A Christmas Carol that shows Scrooge his past, prompting reflection and change.""The Ghost of Christmas Past represents a spirit that guides Scrooge to revisit and reflect on his past experiences and memories.""The Ghost of Christmas Past is one of the spirits in A Christmas Carol that shows Scrooge his past, prompting reflection and change.""The Ghost of Christmas Past represents a spirit that guides Scrooge to revisit and reflect on his past experiences and memories."', 'source_id': 'chunk-9e3921da66da5d761ab73cd849af6c43chunk-bb21d58d36c6306fd8810ddd51c4a971'}> +2024-10-30 06:53:11,241 - lightrag - INFO - get_node:query:MATCH (n:`TURKEYS`) RETURN n:result:"Turkeys represent a common food item associated with the Christmas feast, highlighting the culinary aspects of the celebration.""Turkeys are food items prominently featured in Christmas meals, representing a festive celebration of the holiday.""Turkeys are part of the Christmas feast, symbolizing the abundance and sharing associated with the holiday.""Turkeys are food items prominently featured in Christmas meals, representing a festive celebration of the holiday.""Turkeys are part of the Christmas feast, symbolizing the abundance and sharing associated with the holiday.""Turkeys are food items prominently featured in Christmas meals, representing a festive celebration of the holiday.""Turkeys are part of the Christmas feast, symbolizing the abundance and sharing associated with the holiday.""Turkeys are food items prominently featured in Christmas meals, representing a festive celebration of the holiday.""Turkeys are part of the Christmas feast, symbolizing the abundance and sharing associated with the holiday.""Turkeys are food items prominently featured in Christmas meals, representing a festive celebration of the holiday.""Turkeys are part of the Christmas feast, symbolizing the abundance and sharing associated with the holiday."', 'source_id': 'chunk-99b0ec7f7e006561352b5d65e849611dchunk-843b5b2f944c7413d9ca876e2e2f151f'}> +2024-10-30 06:53:11,333 - lightrag - INFO - get_node:query:MATCH (n:`CHILDREN`) RETURN n:result:"Children represent innocence and joy, often seen as seeking affection and connection with adults like Scrooge.""Children represent innocence and joy, often seen as seeking affection and connection with adults like Scrooge.""Children represent innocence and joy, often seen as seeking affection and connection with adults like Scrooge.""Children represent innocence and joy, often seen as seeking affection and connection with adults like Scrooge.""The Children represent innocence and purity, highlighted as victims of societal neglect and calling for compassion from Scrooge.""The Children represent the joyful, carefree aspects of Scrooge\'s past, embodying happiness and the innocence of youth that he has long forgotten.""The Children represent innocence and the impact of societal neglect, embodied by Ignorance and Want as personified by the Spirit.""The Children represent innocence and the impact of societal neglect, embodied by Ignorance and Want as personified by the Spirit.""The Children represent innocence and the impact of societal neglect, embodied by Ignorance and Want as personified by the Spirit.""The Children represent innocence and the impact of societal neglect, embodied by Ignorance and Want as personified by the Spirit.""The Children represent innocence and the impact of societal neglect, embodied by Ignorance and Want as personified by the Spirit."', 'source_id': 'chunk-bb21d58d36c6306fd8810ddd51c4a971chunk-74e2466de2f67fd710ef2f20c0a8d9e0chunk-e7637ff18c5ded77a68cce0a87883fad'}> +2024-10-30 06:53:11,423 - lightrag - INFO - get_node:query:MATCH (n:`DICK WILKINS`) RETURN n:result:"Dick Wilkins is Scrooge\'s fellow apprentice and close companion during his younger years, indicating camaraderie during their apprenticeship.""Dick Wilkins is Scrooge\'s fellow apprentice, associated with Scrooge\'s past and the context of his earlier, more carefree life.""Dick Wilkins is a former apprentice of Scrooge, remembered fondly for his attachment to Scrooge.""Dick Wilkins is Scrooge\'s fellow apprentice, associated with Scrooge\'s past and the context of his earlier, more carefree life.""Dick Wilkins is a former apprentice of Scrooge, remembered fondly for his attachment to Scrooge.""Dick Wilkins is Scrooge\'s fellow apprentice, associated with Scrooge\'s past and the context of his earlier, more carefree life.""Dick Wilkins is a former apprentice of Scrooge, remembered fondly for his attachment to Scrooge.""Dick Wilkins is Scrooge\'s fellow apprentice, associated with Scrooge\'s past and the context of his earlier, more carefree life.""Dick Wilkins is a former apprentice of Scrooge, remembered fondly for his attachment to Scrooge.""Dick Wilkins is Scrooge\'s fellow apprentice, associated with Scrooge\'s past and the context of his earlier, more carefree life.""Dick Wilkins is a former apprentice of Scrooge, remembered fondly for his attachment to Scrooge."', 'source_id': 'chunk-c6c248858d1b13ab7ee9ca13c1aeed6bchunk-8bc1edd983869352d14cf0886a9175a7'}> +2024-10-30 06:53:11,512 - lightrag - INFO - get_node:query:MATCH (n:`SPIRIT`) RETURN n:result:"The Spirit represents a ghostly figure guiding Scrooge through reflections related to a death, illustrating lessons about life and mortality.""The Spirit represents a supernatural being guiding Scrooge through lessons about the consequences of his actions and the future.""The Spirit represents a supernatural entity guiding Scrooge and teaching him lessons about compassion and humanity."The "Spirit" represents a multifaceted supernatural entity that plays a crucial role in guiding Ebenezer Scrooge through profound reflections on his life, death, and human emotions. Central to the narrative is the Spirit\'s embodiment of the essence of Marley, which interacts with Scrooge to highlight themes related to the afterlife and unresolved issues. The Spirit manifests as various figures, most notably the Ghost of Christmas Present, who personifies the themes of generosity, merriment, and the true spirit of the Christmas season.\n\nThroughout Scrooge\'s journey, the Spirit serves as a guide, leading him through memories of his past, reflecting his former self and the influence of time on his character. The entity illustrates important lessons about compassion, social responsibility, and the consequences of his actions, urging Scrooge to confront societal issues and fostering self-awareness.\n\nThe Spirit also emphasizes the somber aspects of life, illustrating lessons about mortality and the inevitability of death, prompting Scrooge to reflect on the implications of his life choices. Overall, the Spirit encapsulates the intersection of compassion, humanity, and the moral lessons inherent in the experience of life, serving as a catalyst for Scrooge\'s transformation and awakening.', 'source_id': 'chunk-e7637ff18c5ded77a68cce0a87883fadchunk-02baee20cc9463dbe08170a8e1043e32chunk-1aa50206d02ed89418f65f97c6441d1cchunk-83ac129dc9b56f84c46760d153d68e93chunk-843b5b2f944c7413d9ca876e2e2f151fchunk-bb21d58d36c6306fd8810ddd51c4a971'}> +2024-10-30 06:53:11,599 - lightrag - INFO - get_node:query:MATCH (n:`GHOST OF CHRISTMAS PRESENT`) RETURN n:result:"The Ghost of Christmas Present is a spirit that reveals to Scrooge the joys and struggles of the present Christmas season, emphasizing generosity and compassion.""The Ghost of Christmas Present is a spirit that represents generosity and joy, playing a pivotal role in teaching Scrooge valuable lessons about kindness and the Christmas spirit.""The Ghost of Christmas Present is a spirit that reveals the current struggles and joys of others, influencing Scrooge\'s perspective.""The Ghost of Christmas Present is a spirit that represents generosity and joy, playing a pivotal role in teaching Scrooge valuable lessons about kindness and the Christmas spirit.""The Ghost of Christmas Present is a spirit that reveals the current struggles and joys of others, influencing Scrooge\'s perspective.""The Ghost of Christmas Present is a spirit that represents generosity and joy, playing a pivotal role in teaching Scrooge valuable lessons about kindness and the Christmas spirit.""The Ghost of Christmas Present is a spirit that reveals the current struggles and joys of others, influencing Scrooge\'s perspective.""The Ghost of Christmas Present is a spirit that represents generosity and joy, playing a pivotal role in teaching Scrooge valuable lessons about kindness and the Christmas spirit.""The Ghost of Christmas Present is a spirit that reveals the current struggles and joys of others, influencing Scrooge\'s perspective.""The Ghost of Christmas Present is a spirit that represents generosity and joy, playing a pivotal role in teaching Scrooge valuable lessons about kindness and the Christmas spirit.""The Ghost of Christmas Present is a spirit that reveals the current struggles and joys of others, influencing Scrooge\'s perspective."', 'source_id': 'chunk-843b5b2f944c7413d9ca876e2e2f151fchunk-9e3921da66da5d761ab73cd849af6c43'}> +2024-10-30 06:53:22,091 - lightrag - INFO - get_edge:query: + MATCH (start:`GHOST`)-[r]->(end:`SCROOGE`) + RETURN properties(r) as edge_properties + LIMIT 1 + :result:{'keywords': '"moral lesson, reflection""reflection, self-discovery""spiritual guidance, transformation"', 'weight': 26.0, 'description': '"Scrooge interacts directly with the Ghost, who aims to teach him about the errors of his ways and the importance of caring for others.""The Ghost guides Scrooge through reflections of his past, influencing his journey toward redemption.""The Ghost takes Scrooge on a journey to teach him lessons about generosity and compassion towards others."', 'source_id': 'chunk-359187e7571bda4b0b08b2e0b6581e52chunk-c6c248858d1b13ab7ee9ca13c1aeed6bchunk-e7637ff18c5ded77a68cce0a87883fad'} +2024-10-30 06:53:22,185 - lightrag - INFO - get_edge:query: + MATCH (start:`SCROOGE`)-[r]->(end:`THE TURKEY`) + RETURN properties(r) as edge_properties + LIMIT 1 + :result:{'keywords': '"generosity, celebration"', 'weight': 7.0, 'description': '"Scrooge expresses joy and excitement about the turkey he plans to send, highlighting his generous transformation."', 'source_id': 'chunk-8f738cb25d60a7dab782162d9d0a25ed'} +2024-10-30 06:53:22,278 - lightrag - INFO - get_edge:query: + MATCH (start:`SCROOGE`)-[r]->(end:`THE PRESENT`) + RETURN properties(r) as edge_properties + LIMIT 1 + :result:{'keywords': '"change, awareness"', 'weight': 9.0, 'description': '"Scrooge emphasizes the importance of living fully in The Present to change his fate going forward."', 'source_id': 'chunk-91572b3cd42786ba4cb2f180ca25cbf4'} +2024-10-30 06:53:22,368 - lightrag - INFO - get_edge:query: + MATCH (start:`LITTLE FAN`)-[r]->(end:`SCROOGE`) + RETURN properties(r) as edge_properties + LIMIT 1 + :result:{'keywords': '"family, nostalgia"', 'weight': 9.0, 'description': '"Little Fan\'s joyful visit emphasizes family love and the nostalgic warmth of childhood memories for Scrooge."', 'source_id': 'chunk-c6c248858d1b13ab7ee9ca13c1aeed6b'} +2024-10-30 06:53:22,462 - lightrag - INFO - get_edge:query: + MATCH (start:`ALMSHOUSE`)-[r]->(end:`SPIRIT`) + RETURN properties(r) as edge_properties + LIMIT 1 + :result:{'keywords': '"social critique, awareness"', 'weight': 9.0, 'description': '"The Spirit shows Scrooge the Almshouse to illustrate the plight of the poor and the societal neglect present during the holiday season."', 'source_id': 'chunk-e7637ff18c5ded77a68cce0a87883fad'} +2024-10-30 06:53:22,557 - lightrag - INFO - get_edge:query: + MATCH (start:`HOPE`)-[r]->(end:`THE COMELY MATRON`) + RETURN properties(r) as edge_properties + LIMIT 1 + :result:{'keywords': '"hope, family love"', 'weight': 16.0, 'description': '"The Comely Matron represents the hope for a joyful and fulfilling family life, enhancing the themes of love and connection."', 'source_id': 'chunk-54bdd22db1f84a965b5f4c06c9216d8d'} +2024-10-30 06:53:22,653 - lightrag - INFO - get_edge:query: + MATCH (start:`CHRISTMAS`)-[r]->(end:`THE GROCERS`) + RETURN properties(r) as edge_properties + LIMIT 1 + :result:{'keywords': '"community engagement, festive spirit"', 'weight': 9.0, 'description': '"The Grocers contribute to the festive Christmas atmosphere by providing goods and serving eager customers."', 'source_id': 'chunk-99b0ec7f7e006561352b5d65e849611d'} +2024-10-30 06:53:22,746 - lightrag - INFO - get_edge:query: + MATCH (start:`SCROOGE`)-[r]->(end:`THE SPIRITS`) + RETURN properties(r) as edge_properties + LIMIT 1 + :result:{'keywords': '"redemption, guidance"', 'weight': 9.0, 'description': '"The Spirits embody the lessons Scrooge must learn to change his life and embrace kindness."', 'source_id': 'chunk-90b95db5c53e4364a6bee36b7aa4d70f'} +2024-10-30 06:53:22,839 - lightrag - INFO - get_edge:query: + MATCH (start:`BOB CRATCHIT`)-[r]->(end:`TINY TIM`) + RETURN properties(r) as edge_properties + LIMIT 1 + :result:{'keywords': '"family bond, care""family bond, father-son relationship""family bond, love""family love, vulnerability""family, care""family, caregiving""family, love struggles""family, struggle""family, support""father-son bond, care""father-son relationship, care""parental love, sorrow""parenting, hope"', 'weight': 119.0, 'description': '"Bob Cratchit deeply cares for Tiny Tim, demonstrating emotional support and love, especially in moments of distress.""Bob Cratchit expresses love and concern for his son Tiny Tim during the Christmas dinner, highlighting a strong familial bond.""Bob Cratchit is Tiny Tim\'s father, and the turkey Scrooge plans to send will impact Tiny Tim\'s well-being.""Bob Cratchit is Tiny Tim\'s father, and their relationship highlights the theme of family struggle and love, especially during Christmas.""Bob Cratchit shows deep care for Tiny Tim, helping him and expressing pride in his strength and character despite challenges.""Bob Cratchit\'s concern for Tiny Tim illustrates the deep familial love and the challenges facing the Cratchit family.""Bob Cratchit is a father figure to Tiny Tim, who carries both hope and concern for his child\'s future health and well-being.""Bob Cratchit is the father of Tiny Tim, showcasing familial love and challenges faced by the Cratchit family.""Bob Cratchit is the father of Tiny Tim, showing the importance of family dynamics and care in their lives.""Bob Cratchit shows affection for Tiny Tim, often expressing concern for his health and trying to keep him close during the Christmas celebration.""Bob Cratchit shows deep care for Tiny Tim, supporting him and expressing pride in his resilience, especially regarding Tiny Tim\'s reflective thoughts on Christmas.""Bob Cratchit shows deep concern and love for his son, Tiny Tim, highlighting the family dynamics and attachment in their household.""Bob Cratchit shows deep love and sorrow for Tiny Tim, reflecting a father\'s bond with his child.""Bob is the father of Tiny Tim, who requires support and care, emphasizing themes of family and responsibility."', 'source_id': 'chunk-90b95db5c53e4364a6bee36b7aa4d70fchunk-503f0bfa5453467c7c61d160a3540ecachunk-91572b3cd42786ba4cb2f180ca25cbf4chunk-9e3921da66da5d761ab73cd849af6c43chunk-94bea83e7153fc2064aa382b494936a1chunk-83ac129dc9b56f84c46760d153d68e93chunk-7e2e7ebcc19a53b399dc03aded4743e7chunk-1d4b58de5429cd1261370c231c8673e8'} +2024-10-30 06:53:22,936 - lightrag - INFO - get_edge:query: + MATCH (start:`GHOST OF CHRISTMAS PAST`)-[r]->(end:`SCROOGE`) + RETURN properties(r) as edge_properties + LIMIT 1 + :result:{'keywords': '"reflection, guidance""reflection, past influence""reflection, transformation"', 'weight': 25.0, 'description': '"Scrooge engages with the Ghost of Christmas Past to explore and reflect on his life and choices.""Scrooge engages with the Ghost of Christmas Past to explore his earlier life, seeking insight into his current state.""The Ghost of Christmas Past shows Scrooge experiences from his life that prompt his transformation."', 'source_id': 'chunk-9e3921da66da5d761ab73cd849af6c43chunk-bb21d58d36c6306fd8810ddd51c4a971'} +2024-10-30 06:53:23,030 - lightrag - INFO - get_edge:query: + MATCH (start:`CHRISTMAS`)-[r]->(end:`THE MANSION HOUSE`) + RETURN properties(r) as edge_properties + LIMIT 1 + :result:{'keywords': '"festivities, governance"', 'weight': 7.0, 'description': '"The Mansion House is referenced in the context of Christmas celebrations, illustrating its role in festive festivities and governance."', 'source_id': 'chunk-90d5764e301321c087f5a8f78b73a145'} +2024-10-30 06:53:23,122 - lightrag - INFO - get_edge:query: + MATCH (start:`GRAVE`)-[r]->(end:`SCROOGE`) + RETURN properties(r) as edge_properties + LIMIT 1 + :result:{'keywords': '"mortality, reflection"', 'weight': 20.0, 'description': '"Scrooge is confronted with his own grave, symbolizing the ultimate outcome of his current lifestyle and actions."', 'source_id': 'chunk-91572b3cd42786ba4cb2f180ca25cbf4'} +2024-10-30 06:53:23,212 - lightrag - INFO - get_edge:query: + MATCH (start:`MARLEY`)-[r]->(end:`SCROOGE AND MARLEY'S`) + RETURN properties(r) as edge_properties + LIMIT 1 + :result:{'keywords': '"partnership, legacy"', 'weight': 12.0, 'description': '"Scrooge and Marley\'s is the business associated with Marley, emphasizing its history and the weight of Marley\'s legacy in shaping Scrooge\'s character."', 'source_id': 'chunk-5dac41b3f9eeaf794f0147400b1718cd'} +2024-10-30 06:53:23,312 - lightrag - INFO - get_edge:query: + MATCH (start:`SCROOGE`)-[r]->(end:`THE GRATE`) + RETURN properties(r) as edge_properties + LIMIT 1 + :result:{'keywords': '"coldness, minimalism""isolation, setting mood"', 'weight': 12.0, 'description': '"Scrooge\'s small fire in The Grate represents his need for warmth and symbolizes his cold heart initially showing longing for comfort.""The Grate\'s cold fire adds to the bleak setting of Scrooge\'s home, illustrating his disconnection from warmth and comfort before the supernatural events unfold."', 'source_id': 'chunk-9c43dac2fcd5b578242d907ea6f8fc7b'} +2024-10-30 06:53:23,409 - lightrag - INFO - get_edge:query: + MATCH (start:`SCROOGE`)-[r]->(end:`THE DYING FLAME`) + RETURN properties(r) as edge_properties + LIMIT 1 + :result:{'keywords': '"fear, conflict"', 'weight': 16.0, 'description': '"The Dying Flame\'s flickering is reflective of Scrooge\'s fear and mental state in the presence of the ghost, amplifying his internal conflict."', 'source_id': 'chunk-9c43dac2fcd5b578242d907ea6f8fc7b'} +2024-10-30 06:53:23,500 - lightrag - INFO - get_edge:query: + MATCH (start:`CAROLINE`)-[r]->(end:`THE HUSBAND`) + RETURN properties(r) as edge_properties + LIMIT 1 + :result:{'keywords': '"communication, emotional burden"', 'weight': 14.0, 'description': '"The Husband and Caroline\'s conversation illustrates the tension between optimism and the reality of their situation after receiving distressing news."', 'source_id': 'chunk-83ac129dc9b56f84c46760d153d68e93'} +2024-10-30 06:53:23,594 - lightrag - INFO - get_edge:query: + MATCH (start:`CHRISTMAS EVES`)-[r]->(end:`SCROOGE`) + RETURN properties(r) as edge_properties + LIMIT 1 + :result:{'keywords': '"time of reflection, redemption"', 'weight': 14.0, 'description': '"Christmas Eves symbolize a critical time for self-reflection and understanding one\'s past decisions, linking to Scrooge\'s journey of redemption."', 'source_id': 'chunk-359187e7571bda4b0b08b2e0b6581e52'} +2024-10-30 06:53:23,686 - lightrag - INFO - get_edge:query: + MATCH (start:`BOB CRATCHIT`)-[r]->(end:`THE CRATCHIT HOUSEHOLD`) + RETURN properties(r) as edge_properties + LIMIT 1 + :result:{'keywords': '"family, support"', 'weight': 16.0, 'description': '"Bob Cratchit leads his family, representing resilience and love in the face of hardship, which is celebrated by the Spirit."', 'source_id': 'chunk-b0f459f5af1c3a5e0b92cbe4ee48b77b'} +2024-10-30 06:53:23,778 - lightrag - INFO - get_edge:query: + MATCH (start:`BOB CRATCHIT`)-[r]->(end:`SPIRIT OF CHRISTMAS PRESENT`) + RETURN properties(r) as edge_properties + LIMIT 1 + :result:{'keywords': '"blessing, compassion"', 'weight': 18.0, 'description': '"The Spirit blesses Bob Cratchit’s dwelling, symbolizing the recognition of the Cratchit family\'s struggles and joys on Christmas Day."', 'source_id': 'chunk-b0f459f5af1c3a5e0b92cbe4ee48b77b'} +2024-10-30 06:53:23,876 - lightrag - INFO - get_edge:query: + MATCH (start:`THE CANDLE`)-[r]->(end:`THE FOG AND FROST`) + RETURN properties(r) as edge_properties + LIMIT 1 + :result:{'keywords': '"hope, contrast"', 'weight': 12.0, 'description': '"The Candle symbolizes a flicker of warmth and hope in the bleak setting of Fog and Frost, contrasting the overall atmosphere."', 'source_id': 'chunk-d9aac3484185ac66045df92214d245d5'} +2024-10-30 06:53:23,973 - lightrag - INFO - get_edge:query: + MATCH (start:`CHRISTMAS`)-[r]->(end:`THE GHOST`) + RETURN properties(r) as edge_properties + LIMIT 1 + :result:{'keywords': '"spiritual guide, thematic connection"', 'weight': 8.0, 'description': '"The Ghosts represent the essence of Christmas, highlighting the themes of generosity and change during this festive time."', 'source_id': 'chunk-02baee20cc9463dbe08170a8e1043e32'} +2024-10-30 06:53:24,067 - lightrag - INFO - get_edge:query: + MATCH (start:`BOB`)-[r]->(end:`SCROOGE`) + RETURN properties(r) as edge_properties + LIMIT 1 + :result:{'keywords': '"humor, generosity"', 'weight': 6.0, 'description': '"Scrooge makes a humorous comment about sending a large turkey to Bob, indicating a lighthearted relationship."', 'source_id': 'chunk-8f738cb25d60a7dab782162d9d0a25ed'} +2024-10-30 06:53:24,159 - lightrag - INFO - get_edge:query: + MATCH (start:`FEZZIWIG`)-[r]->(end:`SCROOGE`) + RETURN properties(r) as edge_properties + LIMIT 1 + :result:{'keywords': '"contrast, character foil""kindness, mentorship""mentor figure, positive influence""nostalgia, contrast""reflection, influence"', 'weight': 43.0, 'description': '"Fezziwig is a significant figure in Scrooge\'s past, illustrating a contrast between Scrooge\'s current miserly demeanor and Fezziwig\'s jovial nature.""Fezziwig represents the joyful side of business and celebration, contrasting with Scrooge\'s miserly nature and serving as a foil to Scrooge\'s character development.""Scrooge reflects positively on Fezziwig\'s past actions, acknowledging the happiness and gratitude he inspired in people.""Scrooge reminisces about Fezziwig\'s kindness during his apprenticeship, comparing his past self to his current state.""Scrooge reminisces about Fezziwig\'s ball, reflecting on the contrast between his past happiness and present isolation."', 'source_id': 'chunk-b2f98bc7abb0c67d4c86055c7fd72218chunk-c6c248858d1b13ab7ee9ca13c1aeed6bchunk-89777b838d5447c7bd1ec11282c4ee89'} +2024-10-30 06:53:24,253 - lightrag - INFO - get_edge:query: + MATCH (start:`GHOST OF CHRISTMAS PRESENT`)-[r]->(end:`SCROOGE`) + RETURN properties(r) as edge_properties + LIMIT 1 + :result:{'keywords': '"awareness, compassion""transformation, guidance""transformation, mentoring"', 'weight': 27.0, 'description': '"Scrooge interacts directly with the Ghost of Christmas Present, who guides him in understanding the importance of generosity and joy during Christmas.""Scrooge is led by the Ghost of Christmas Present, who teaches him valuable lessons about generosity and compassion.""The Ghost of Christmas Present reveals the realities of others\' lives, influencing Scrooge\'s understanding of generosity and compassion."', 'source_id': 'chunk-843b5b2f944c7413d9ca876e2e2f151fchunk-9e3921da66da5d761ab73cd849af6c43'} +2024-10-30 06:53:24,348 - lightrag - INFO - get_edge:query: + MATCH (start:`SCROOGE`)-[r]->(end:`SPIRIT`) + RETURN properties(r) as edge_properties + LIMIT 1 + :result:{'keywords': '"guidance, emotional journey""guidance, personal growth""guidance, reflection""guidance, transformation""personal growth, spiritual journey""reflection, guidance""transformation, mentorship"', 'weight': 74.0, 'description': '"Scrooge engages with the Spirit, who guides him through reflections on his life and warns him of societal issues.""Scrooge learns from the Spirit about the consequences of his actions and the sentiments evoked by death, leading to personal growth.""Scrooge’s interaction with the Spirit emphasizes the emotional weight of his past decisions and feelings as they relate to his transformation.""The Spirit directly influences Scrooge’s transformation and highlights the importance of compassion in human life.""Scrooge interacts with the Spirit, who has come to teach him about the meaning of Christmas and share lessons of generosity.""Scrooge is guided by the Spirit to reflect on the impact of death, learning important lessons about life and legacy.""Scrooge is guided by the Spirit, who prompts him to reflect on his life and its consequences.""Scrooge\'s interactions with the Spirit serve to illuminate his past and its influence on his current self.""The Spirit serves as a guide for Scrooge, showing him visions that lead to his personal transformation and moral awakening."', 'source_id': 'chunk-e7637ff18c5ded77a68cce0a87883fadchunk-02baee20cc9463dbe08170a8e1043e32chunk-83ac129dc9b56f84c46760d153d68e93chunk-843b5b2f944c7413d9ca876e2e2f151fchunk-bb21d58d36c6306fd8810ddd51c4a971'} +2024-10-30 06:53:24,442 - lightrag - INFO - get_edge:query: + MATCH (start:`SCROOGE`)-[r]->(end:`THE BOY`) + RETURN properties(r) as edge_properties + LIMIT 1 + :result:{'keywords': '"generosity, kindness""innocence, dialogue"', 'weight': 15.0, 'description': '"Scrooge interacts with The Boy to deliver the turkey, showing a newfound generosity and connection to others.""The Boy engages in a conversation with Scrooge, representing innocence and serving as a link to Scrooge\'s act of kindness."', 'source_id': 'chunk-8f738cb25d60a7dab782162d9d0a25edchunk-90b95db5c53e4364a6bee36b7aa4d70f'} +2024-10-30 06:53:24,534 - lightrag - INFO - get_edge:query: + MATCH (start:`SCROOGE`)-[r]->(end:`THE GHOST`) + RETURN properties(r) as edge_properties + LIMIT 1 + :result:{'keywords': '"guidance, emotional exploration""guidance, transformation""memory, influence""rebuke, self-discovery""reflection, guidance""self-reflection, transformation""supernatural encounter, confusion""supernatural guidance, transformation""supernatural interaction, past actions"', 'weight': 78.0, 'description': '"Scrooge interacts with The Ghost of Jacob Marley, which highlights his struggle with the supernatural and his past actions.""Scrooge\'s engagement with The Ghost prompts a significant emotional and psychological transformation as he confronts his past.""The Ghost guides Scrooge through visions of his past, forcing him to confront his choices and their consequences.""The Ghost influences Scrooge\'s reflections on his past and his current emotions regarding Christmas festivities.""The Ghost serves as a catalyst for Scrooge\'s reflections, guiding him to confront his past and feelings about Christmas.""Scrooge\'s interaction with The Ghost leads to significant inner turmoil and contemplation about dreams and reality.""The Ghost influences Scrooge\'s journey by revealing his past, driving the narrative of his redemption.""The Ghost interacts with Scrooge, revealing truths that challenge his perspective on life and death.""The Ghost prompts Scrooge to remember significant moments, driving his emotional exploration of the past."', 'source_id': 'chunk-c7b10789a9cb0af6c553730b29bd9034chunk-43c9bee23adfa77aa9dedd22401bba7dchunk-da2472b4ef2a535b62908f14d0fb0ca9chunk-cb661c37436355ccec2769b1d0350c5fchunk-54bdd22db1f84a965b5f4c06c9216d8dchunk-8590d9263cd2cd4fa583c432fc54e6c3chunk-83ac129dc9b56f84c46760d153d68e93'} +2024-10-30 06:53:24,627 - lightrag - INFO - get_edge:query: + MATCH (start:`THE CRATCHIT FAMILY`)-[r]->(end:`TINY TIM`) + RETURN properties(r) as edge_properties + LIMIT 1 + :result:{'keywords': '"family unity, hope"', 'weight': 18.0, 'description': '"Tiny Tim is an integral part of the Cratchit family, embodying their hopes and joys during the Christmas festivities."', 'source_id': 'chunk-19d72c57ae3408758b18d2568e86dc6b'} +2024-10-30 06:53:24,720 - lightrag - INFO - get_edge:query: + MATCH (start:`SCROOGE`)-[r]->(end:`THE GHOST OF CHRISTMAS PAST`) + RETURN properties(r) as edge_properties + LIMIT 1 + :result:{'keywords': '"introspection, memory""reflection, guidance""self-reflection, guidance"', 'weight': 28.0, 'description': '"Scrooge\'s interaction with the Ghost of Christmas Past highlights his journey of self-reflection and struggle with his past decisions.""The Ghost of Christmas Past guides Scrooge through recollections, prompting his introspection about his former self and choices.""The Ghost of Christmas Past helps Scrooge reflect on his past choices, which is crucial for his transformation."', 'source_id': 'chunk-b2f98bc7abb0c67d4c86055c7fd72218chunk-90b95db5c53e4364a6bee36b7aa4d70f'} +2024-10-30 06:53:24,813 - lightrag - INFO - get_edge:query: + MATCH (start:`HAPPINESS`)-[r]->(end:`THE BEAUTIFUL YOUNG GIRL`) + RETURN properties(r) as edge_properties + LIMIT 1 + :result:{'keywords': '"lost happiness, longing"', 'weight': 14.0, 'description': '"The Beautiful Young Girl embodies the happiness that Scrooge once sought and now feels he has lost."', 'source_id': 'chunk-54bdd22db1f84a965b5f4c06c9216d8d'} +2024-10-30 06:53:24,973 - lightrag - INFO - get_edge:query: + MATCH (start:`EBENEZER SCROOGE`)-[r]->(end:`TINY TIM`) + RETURN properties(r) as edge_properties + LIMIT 1 + :result:{'keywords': '"redemption, compassion"', 'weight': 9.0, 'description': '"Ebenezer Scrooge, through his interactions with Tiny Tim, learns about compassion and the importance of family and community."', 'source_id': 'chunk-9e3921da66da5d761ab73cd849af6c43'} +2024-10-30 06:53:25,067 - lightrag - INFO - get_edge:query: + MATCH (start:`SCROOGE`)-[r]->(end:`THE GENTLEMEN`) + RETURN properties(r) as edge_properties + LIMIT 1 + :result:{'keywords': '"charity, social responsibility"', 'weight': 16.0, 'description': '"The Gentlemen approach Scrooge about donations for the poor, representing a charitable campaign that he strongly resists."', 'source_id': 'chunk-5dac41b3f9eeaf794f0147400b1718cd'} +2024-10-30 06:53:25,159 - lightrag - INFO - get_edge:query: + MATCH (start:`SCROOGE`)-[r]->(end:`THE PHANTOM VOICES`) + RETURN properties(r) as edge_properties + LIMIT 1 + :result:{'keywords': '"regret, lost opportunities"', 'weight': 12.0, 'description': '"Scrooge hears the lamentations of The Phantom Voices, reflecting his connection to the spirits of the lost and the consequences of his life choices."', 'source_id': 'chunk-cb661c37436355ccec2769b1d0350c5f'} +2024-10-30 06:53:25,253 - lightrag - INFO - get_edge:query: + MATCH (start:`DICK WILKINS`)-[r]->(end:`SCROOGE`) + RETURN properties(r) as edge_properties + LIMIT 1 + :result:{'keywords': '"friendship, apprenticeship""shared history, transformation"', 'weight': 14.0, 'description': '"Scrooge and Dick Wilkins share memories of their apprenticeship, highlighting Scrooge\'s transformation from a young man to his current state.""Scrooge recalls his friendship with Dick Wilkins, highlighting the connections of youth and support during their apprenticeship."', 'source_id': 'chunk-c6c248858d1b13ab7ee9ca13c1aeed6b'} +2024-10-30 06:53:25,348 - lightrag - INFO - get_edge:query: + MATCH (start:`DINNER`)-[r]->(end:`SCROOGE'S NEPHEW`) + RETURN properties(r) as edge_properties + LIMIT 1 + :result:{'keywords': '"family, celebration"', 'weight': 18.0, 'description': '"Scrooge\'s Nephew emphasizes the pleasure of sharing Dinner with loved ones, highlighting the importance of family connections during holiday gatherings."', 'source_id': 'chunk-773d0df1dd25c356f7b771d780583e09'} +2024-10-30 06:53:25,450 - lightrag - INFO - get_edge:query: + MATCH (start:`BOB CRATCHIT`)-[r]->(end:`MASTER PETER`) + RETURN properties(r) as edge_properties + LIMIT 1 + :result:{'keywords': '"aspiration, family support"', 'weight': 6.0, 'description': '"Bob Cratchit is considering job opportunities for Master Peter, reflecting the family\'s aspirations and hopes for betterment."', 'source_id': 'chunk-19d72c57ae3408758b18d2568e86dc6b'} +2024-10-30 06:53:25,543 - lightrag - INFO - get_edge:query: + MATCH (start:`SCROOGE`)-[r]->(end:`THE FUNERAL`) + RETURN properties(r) as edge_properties + LIMIT 1 + :result:{'keywords': '"business, emotional detachment"', 'weight': 7.0, 'description': '"Scrooge treats The Funeral as a business transaction, showing his cold approach to personal loss and death."', 'source_id': 'chunk-89777b838d5447c7bd1ec11282c4ee89'} +2024-10-30 06:53:25,636 - lightrag - INFO - get_edge:query: + MATCH (start:`SCROOGE`)-[r]->(end:`STREET`) + RETURN properties(r) as edge_properties + LIMIT 1 + :result:{'keywords': '"observation, societal critique"', 'weight': 7.0, 'description': '"Scrooge observes the Street\'s inhabitants and their interactions, reflecting on his own status and societal detachment."', 'source_id': 'chunk-f1a4fbcf1ed86864b9bfd5e8dba4c683'} +2024-10-30 06:53:25,730 - lightrag - INFO - get_edge:query: + MATCH (start:`SCROOGE`)-[r]->(end:`THE GRAVE`) + RETURN properties(r) as edge_properties + LIMIT 1 + :result:{'keywords': '"mortality, urgency"', 'weight': 8.0, 'description': '"Scrooge’s need to confront his own grave signifies the urgency to change his life before it is too late."', 'source_id': 'chunk-91572b3cd42786ba4cb2f180ca25cbf4'} +2024-10-30 06:53:25,824 - lightrag - INFO - get_edge:query: + MATCH (start:`JOE`)-[r]->(end:`THE DECEASED`) + RETURN properties(r) as edge_properties + LIMIT 1 + :result:{'keywords': '"materialism, death"', 'weight': 5.0, 'description': '"Joe discusses the belongings and implications of The Deceased\'s life, indicating a financial and material relationship with the dead."', 'source_id': 'chunk-e1f29eeadc1d8ab46dc8a0bbd3c56b64'} +2024-10-30 06:53:25,919 - lightrag - INFO - get_edge:query: + MATCH (start:`CHRISTMAS`)-[r]->(end:`TINY TIM`) + RETURN properties(r) as edge_properties + LIMIT 1 + :result:{'keywords': '"innocence, holiday spirit"', 'weight': 18.0, 'description': '"Tiny Tim represents the spirit of Christmas, being cherished by family during this festive occasion."', 'source_id': 'chunk-1d4b58de5429cd1261370c231c8673e8'} +2024-10-30 06:53:26,022 - lightrag - INFO - get_edge:query: + MATCH (start:`IGNORANCE`)-[r]->(end:`SCROOGE`) + RETURN properties(r) as edge_properties + LIMIT 1 + :result:{'keywords': '"social awareness, warning"', 'weight': 9.0, 'description': '"Scrooge is warned about the dangers posed by Ignorance, which embodies significant societal issues he has ignored."', 'source_id': 'chunk-02baee20cc9463dbe08170a8e1043e32'} +2024-10-30 06:53:26,116 - lightrag - INFO - get_edge:query: + MATCH (start:`MANKIND`)-[r]->(end:`SCROOGE`) + RETURN properties(r) as edge_properties + LIMIT 1 + :result:{'keywords': '"moral responsibility, social awareness"', 'weight': 7.0, 'description': '"Scrooge\'s actions and neglect of mankind are highlighted in Marley\'s admonitions, emphasizing the need for connection and care for others."', 'source_id': 'chunk-359187e7571bda4b0b08b2e0b6581e52'} +2024-10-30 06:53:26,209 - lightrag - INFO - get_edge:query: + MATCH (start:`GAOL`)-[r]->(end:`SPIRIT`) + RETURN properties(r) as edge_properties + LIMIT 1 + :result:{'keywords': '"empowerment, societal change"', 'weight': 8.0, 'description': '"The Gaol represents the consequences of societal indifference, highlighted by the Spirit to show the need for empathy and reform."', 'source_id': 'chunk-e7637ff18c5ded77a68cce0a87883fad'} +2024-10-30 06:53:26,303 - lightrag - INFO - get_edge:query: + MATCH (start:`THE FIRE`)-[r]->(end:`TINY TIM`) + RETURN properties(r) as edge_properties + LIMIT 1 + :result:{'keywords': '"warmth, family support"', 'weight': 16.0, 'description': '"Tiny Tim is seen being supported by the family at the warmth of the Fire, which adds comfort and cheer to their gathering."', 'source_id': 'chunk-7e2e7ebcc19a53b399dc03aded4743e7'} +2024-10-30 06:53:26,398 - lightrag - INFO - get_edge:query: + MATCH (start:`ORSON`)-[r]->(end:`SCROOGE`) + RETURN properties(r) as edge_properties + LIMIT 1 + :result:{'keywords': '"family memories, nostalgia"', 'weight': 6.0, 'description': '"Same as above, Orson is part of Scrooge\'s memories of his brothers during Christmas time, emphasizing themes of togetherness and nostalgia."', 'source_id': 'chunk-8590d9263cd2cd4fa583c432fc54e6c3'} +2024-10-30 06:53:26,496 - lightrag - INFO - get_edge:query: + MATCH (start:`BELLE`)-[r]->(end:`SCROOGE`) + RETURN properties(r) as edge_properties + LIMIT 1 + :result:{'keywords': '"lost love, regret""nostalgia, lost love"', 'weight': 16.0, 'description': '"Scrooge reflects on his lost relationship with Belle, highlighting his feelings of regret and emotional pain.""Scrooge reminisces about Belle and the love they shared, indicating a lost connection and regret."', 'source_id': 'chunk-da2472b4ef2a535b62908f14d0fb0ca9'} +2024-10-30 06:53:26,592 - lightrag - INFO - get_edge:query: + MATCH (start:`COURT`)-[r]->(end:`SCROOGE`) + RETURN properties(r) as edge_properties + LIMIT 1 + :result:{'keywords': '"social contrast, isolation"', 'weight': 14.0, 'description': '"The court serves as a contrasting backdrop to Scrooge’s private space, where social warmth and interaction occur, which he actively avoids."', 'source_id': 'chunk-74e2466de2f67fd710ef2f20c0a8d9e0'} +2024-10-30 06:53:26,685 - lightrag - INFO - get_edge:query: + MATCH (start:`SCROOGE`)-[r]->(end:`THE CORPSE`) + RETURN properties(r) as edge_properties + LIMIT 1 + :result:{'keywords': '"introspection, life choices"', 'weight': 18.0, 'description': '"Scrooge’s horror upon seeing The Corpse prompts deep reflection on his own life choices and morality."', 'source_id': 'chunk-e1f29eeadc1d8ab46dc8a0bbd3c56b64'} +2024-10-30 06:53:26,779 - lightrag - INFO - get_edge:query: + MATCH (start:`CHRISTMAS`)-[r]->(end:`SPANISH ONIONS`) + RETURN properties(r) as edge_properties + LIMIT 1 + :result:{'keywords': '"culinary tradition, seasonal offerings"', 'weight': 7.0, 'description': '"Spanish Onions are part of the seasonal offerings that contribute to the culinary landscape of Christmas."', 'source_id': 'chunk-99b0ec7f7e006561352b5d65e849611d'} +2024-10-30 06:53:26,886 - lightrag - INFO - get_edge:query: + MATCH (start:`CHURCH`)-[r]->(end:`SCROOGE`) + RETURN properties(r) as edge_properties + LIMIT 1 + :result:{'keywords': '"community, contrast"', 'weight': 16.0, 'description': '"The church symbolizes the community and settings of Scrooge\'s past, highlighting the contrast between then and now."', 'source_id': 'chunk-bb21d58d36c6306fd8810ddd51c4a971'} +2024-10-30 06:53:26,979 - lightrag - INFO - get_edge:query: + MATCH (start:`CRATCHIT FAMILY`)-[r]->(end:`MASTER PETER CRATCHIT`) + RETURN properties(r) as edge_properties + LIMIT 1 + :result:{'keywords': '"family participation, joy"', 'weight': 8.0, 'description': '"Master Peter Cratchit is a part of the Cratchit family and contributes to their joyful Christmas celebration with enthusiasm."', 'source_id': 'chunk-7e2e7ebcc19a53b399dc03aded4743e7'} +2024-10-30 06:53:27,072 - lightrag - INFO - get_edge:query: + MATCH (start:`SCROOGE`)-[r]->(end:`THE GHOST OF MARLEY`) + RETURN properties(r) as edge_properties + LIMIT 1 + :result:{'keywords': '"redemption, moral reflection""supernatural, moral reckoning"', 'weight': 19.0, 'description': '"The Ghost of Marley serves as a direct reminder of Scrooge\'s past decisions, urging him towards change and redemption.""The Ghost of Marley symbolizes Scrooge\'s past mistakes and serves as a catalyst for his transformation."', 'source_id': 'chunk-d9aac3484185ac66045df92214d245d5'} +2024-10-30 06:53:27,164 - lightrag - INFO - get_edge:query: + MATCH (start:`CRATCHIT CHRISTMAS DINNER`)-[r]->(end:`CRATCHIT FAMILY`) + RETURN properties(r) as edge_properties + LIMIT 1 + :result:{'keywords': '"family celebration, togetherness"', 'weight': 20.0, 'description': '"The Cratchit Family comes together to celebrate Christmas dinner, encapsulating their unity and joyful spirit during the holiday season."', 'source_id': 'chunk-7e2e7ebcc19a53b399dc03aded4743e7'} +2024-10-30 06:53:27,257 - lightrag - INFO - get_edge:query: + MATCH (start:`THE CHILDREN`)-[r]->(end:`THE MOTHER`) + RETURN properties(r) as edge_properties + LIMIT 1 + :result:{'keywords': '"family care, joy"', 'weight': 14.0, 'description': '"The Mother facilitates the family celebrations, ensuring that her children experience joy during Christmas."', 'source_id': 'chunk-da2472b4ef2a535b62908f14d0fb0ca9'} +2024-10-30 06:53:27,352 - lightrag - INFO - get_edge:query: + MATCH (start:`CRATCHIT FAMILY`)-[r]->(end:`THE SPIRIT`) + RETURN properties(r) as edge_properties + LIMIT 1 + :result:{'keywords': '"holiday spirit, influence"', 'weight': 18.0, 'description': '"The Spirit influences the Christmas gathering of the Cratchit family by promoting joy and generosity, impacting their celebration."', 'source_id': 'chunk-19d72c57ae3408758b18d2568e86dc6b'} +2024-10-30 06:53:27,447 - lightrag - INFO - get_edge:query: + MATCH (start:`SCHOOL`)-[r]->(end:`SPIRIT`) + RETURN properties(r) as edge_properties + LIMIT 1 + :result:{'keywords': '"reflection, nostalgia"', 'weight': 6.0, 'description': '"The Spirit leads Scrooge to the School, invoking memories of solitary times that deeply impact his emotional state."', 'source_id': 'chunk-bb21d58d36c6306fd8810ddd51c4a971'} +2024-10-30 06:53:27,539 - lightrag - INFO - get_edge:query: + MATCH (start:`CRATCHIT FAMILY`)-[r]->(end:`THE GOOSE`) + RETURN properties(r) as edge_properties + LIMIT 1 + :result:{'keywords': '"symbol of abundance, celebration"', 'weight': 10.0, 'description': '"The Goose represents the festive meal that the Cratchit family cherishes during their Christmas gathering, enhancing their celebration."', 'source_id': 'chunk-7e2e7ebcc19a53b399dc03aded4743e7'} +2024-10-30 06:53:27,633 - lightrag - INFO - get_edge:query: + MATCH (start:`CHRISTMAS`)-[r]->(end:`MISTLETOE`) + RETURN properties(r) as edge_properties + LIMIT 1 + :result:{'keywords': '"festive symbols, joy"', 'weight': 7.0, 'description': '"Mistletoe is a traditional decoration that enhances the joy and atmosphere of Christmas."', 'source_id': 'chunk-99b0ec7f7e006561352b5d65e849611d'} +2024-10-30 06:53:27,726 - lightrag - INFO - get_edge:query: + MATCH (start:`DEATH`)-[r]->(end:`SCROOGE`) + RETURN properties(r) as edge_properties + LIMIT 1 + :result:{'keywords': '"existential crisis, contemplation"', 'weight': 9.0, 'description': '"Scrooge grapples with the idea of Death as he witnesses the aftermath of The Deceased\'s life, leading to an inner turmoil."', 'source_id': 'chunk-e1f29eeadc1d8ab46dc8a0bbd3c56b64'} +2024-10-30 06:53:27,821 - lightrag - INFO - get_edge:query: + MATCH (start:`SCROOGE`)-[r]->(end:`THE DOWERLESS GIRL`) + RETURN properties(r) as edge_properties + LIMIT 1 + :result:{'keywords': '"social constraints, regret"', 'weight': 12.0, 'description': '"Scrooge\'s reflections on the dowerless girl highlight the social constraints influencing his choices and feelings of regret."', 'source_id': 'chunk-54bdd22db1f84a965b5f4c06c9216d8d'} +2024-10-30 06:53:27,917 - lightrag - INFO - get_edge:query: + MATCH (start:`CRATCHIT FAMILY`)-[r]->(end:`DEATH`) + RETURN properties(r) as edge_properties + LIMIT 1 + :result:{'keywords': '"grief, family dynamics"', 'weight': 8.0, 'description': '"The death event impacts the Cratchit family deeply, influencing their emotional state and perceptions of hope and kindness."', 'source_id': 'chunk-83ac129dc9b56f84c46760d153d68e93'} +2024-10-30 06:53:28,013 - lightrag - INFO - get_edge:query: + MATCH (start:`FELLOW-BEINGS`)-[r]->(end:`SCROOGE`) + RETURN properties(r) as edge_properties + LIMIT 1 + :result:{'keywords': '"neglect, realization"', 'weight': 16.0, 'description': '"Scrooge is confronted with his past choices to ignore Fellow-beings, leading to a realization of his moral failures."', 'source_id': 'chunk-359187e7571bda4b0b08b2e0b6581e52'} +2024-10-30 06:53:28,107 - lightrag - INFO - get_edge:query: + MATCH (start:`CLERK`)-[r]->(end:`SCROOGE`) + RETURN properties(r) as edge_properties + LIMIT 1 + :result:{'keywords': '"contrast, workplace dynamics""employment relationship, respect"', 'weight': 10.0, 'description': '"Scrooge\'s Clerk represents a contrasting viewpoint to Scrooge\'s own, showcasing a degree of warmth that Scrooge actively dismisses.""The Clerk communicates with Scrooge about his work, highlighting the lack of mutual respect in their employer-employee relationship."', 'source_id': 'chunk-d9aac3484185ac66045df92214d245d5chunk-5dac41b3f9eeaf794f0147400b1718cd'} +2024-10-30 06:53:28,201 - lightrag - INFO - get_edge:query: + MATCH (start:`SCROOGE`)-[r]->(end:`THE DECEASED`) + RETURN properties(r) as edge_properties + LIMIT 1 + :result:{'keywords': '"reflection, mortality"', 'weight': 8.0, 'description': '"Scrooge reflects on the condition and life of The Deceased, equating his own life with the man\'s fate, indicating a profound contemplation of mortality."', 'source_id': 'chunk-e1f29eeadc1d8ab46dc8a0bbd3c56b64'} +2024-10-30 06:53:28,290 - lightrag - INFO - get_edge:query: + MATCH (start:`SCROOGE`)-[r]->(end:`THE LAMPLIGHTER`) + RETURN properties(r) as edge_properties + LIMIT 1 + :result:{'keywords': '"contrast, positivity"', 'weight': 12.0, 'description': '"The Lamplighter\'s cheerful demeanor contrasts with Scrooge\'s initial outlook, highlighting the possibility of joy in life."', 'source_id': 'chunk-91614df5cb74cbe5e109a338a82041e9'} +2024-10-30 06:53:28,383 - lightrag - INFO - get_edge:query: + MATCH (start:`DICK`)-[r]->(end:`SCROOGE`) + RETURN properties(r) as edge_properties + LIMIT 1 + :result:{'keywords': '"nostalgia, friendship"', 'weight': 14.0, 'description': '"Scrooge remembers Dick as a part of his past, highlighting their shared experiences during happier times.""Scrooge\'s memories of Dick evoke a sense of nostalgia and reflection on the changes in his life and their friendship."', 'source_id': 'chunk-b2f98bc7abb0c67d4c86055c7fd72218'} +2024-10-30 06:53:28,473 - lightrag - INFO - get_edge:query: + MATCH (start:`OLD JOE`)-[r]->(end:`THE SHOP`) + RETURN properties(r) as edge_properties + LIMIT 1 + :result:{'keywords': '"business hub, unscrupulous dealings"', 'weight': 8.0, 'description': '"Old Joe\'s activities, including the appraisal of stolen items, solidify the shop\'s role as a hub for unscrupulous dealings."', 'source_id': 'chunk-60fc063c79fc0d4acc91a57e79de04dc'} +2024-10-30 06:53:28,568 - lightrag - INFO - get_edge:query: + MATCH (start:`SCROOGE`)-[r]->(end:`THE CRATCHIT HOUSE`) + RETURN properties(r) as edge_properties + LIMIT 1 + :result:{'keywords': '"compassion, familial connection"', 'weight': 18.0, 'description': '"Scrooge\'s reflections in The Cratchit House illustrate his evolving understanding of compassion and connection to others."', 'source_id': 'chunk-83ac129dc9b56f84c46760d153d68e93'} +2024-10-30 06:53:28,662 - lightrag - INFO - get_edge:query: + MATCH (start:`ALI BABA`)-[r]->(end:`SCROOGE`) + RETURN properties(r) as edge_properties + LIMIT 1 + :result:{'keywords': '"memory, kindness""nostalgia, childhood stories"', 'weight': 15.0, 'description': '"Scrooge recalls Ali Baba fondly, indicating a positive association with adventurers and kindness during Christmas.""Scrooge recalls Ali Baba while reflecting on memories of Christmas, indicating a strong personal connection to the story and its impact on him."', 'source_id': 'chunk-8590d9263cd2cd4fa583c432fc54e6c3'} +2024-10-30 06:53:28,756 - lightrag - INFO - get_edge:query: + MATCH (start:`JACOB`)-[r]->(end:`SCROOGE`) + RETURN properties(r) as edge_properties + LIMIT 1 + :result:{'keywords': '"past reflections, moral lesson""reflection, past relationship"', 'weight': 16.0, 'description': '"Scrooge reflects on his past relationship with Jacob, influenced by feelings of guilt and loss after Jacob\'s death.""Scrooge reflects on his relationship with Jacob, understanding the past implications of his death for his own future."', 'source_id': 'chunk-f1a4fbcf1ed86864b9bfd5e8dba4c683'} +2024-10-30 06:53:28,849 - lightrag - INFO - get_edge:query: + MATCH (start:`THE BUNDLE`)-[r]->(end:`THE DECEASED MAN`) + RETURN properties(r) as edge_properties + LIMIT 1 + :result:{'keywords': '"material legacy, value"', 'weight': 14.0, 'description': '"The Bundle contains the belongings that once belonged to The Deceased Man, illustrating the material value placed on his life after death."', 'source_id': 'chunk-e1f29eeadc1d8ab46dc8a0bbd3c56b64'} +2024-10-30 06:53:28,941 - lightrag - INFO - get_edge:query: + MATCH (start:`CHILDREN`)-[r]->(end:`SPIRIT`) + RETURN properties(r) as edge_properties + LIMIT 1 + :result:{'keywords': '"social issues, innocence"', 'weight': 9.0, 'description': '"The Spirit introduces Scrooge to the Children as representations of societal neglect, urging recognition and action."', 'source_id': 'chunk-e7637ff18c5ded77a68cce0a87883fad'} +2024-10-30 06:53:29,037 - lightrag - INFO - get_edge:query: + MATCH (start:`COUNTING-HOUSE`)-[r]->(end:`SCROOGE`) + RETURN properties(r) as edge_properties + LIMIT 1 + :result:{'keywords': '"isolation, work environment""reflection, priorities"', 'weight': 32.0, 'description': '"Scrooge reflects on his life spent in the Counting-house, which represents his previous priorities focused on business over personal connections.""Scrooge reflects on his life spent in the Counting-house, which represents his previous priorities focused on business over personal connections.""Scrooge\'s counting-house is a reflection of his cold character and attitude towards life, where he isolates himself from human interactions.""Scrooge\'s counting-house is a reflection of his cold character and attitude towards life, where he isolates himself from human interactions."', 'source_id': 'chunk-359187e7571bda4b0b08b2e0b6581e52chunk-74e2466de2f67fd710ef2f20c0a8d9e0'} +2024-10-30 06:53:29,136 - lightrag - INFO - get_edge:query: + MATCH (start:`SCROOGE`)-[r]->(end:`THE GHOST OF CHRISTMAS PRESENT`) + RETURN properties(r) as edge_properties + LIMIT 1 + :result:{'keywords': '"awareness, joy""compassion, insight""supernatural guidance, social impact""transformation, guidance"', 'weight': 34.0, 'description': '"The Ghost of Christmas Present exposes Scrooge to the joy and generosity he has been missing.""The Ghost of Christmas Present observes Scrooge\'s transformation and emotional engagement with his memories of Christmas.""The Ghost of Christmas Present shows Scrooge the joy and importance of kindness during Christmas, impacting his perspective on social issues.""The Ghost of Christmas Present shows Scrooge the joy and hardships of others during Christmas, deepening his understanding of compassion."', 'source_id': 'chunk-43c9bee23adfa77aa9dedd22401bba7dchunk-90b95db5c53e4364a6bee36b7aa4d70fchunk-b0f459f5af1c3a5e0b92cbe4ee48b77b'} +2024-10-30 06:53:29,226 - lightrag - INFO - get_edge:query: + MATCH (start:`SCHOOL`)-[r]->(end:`SCROOGE`) + RETURN properties(r) as edge_properties + LIMIT 1 + :result:{'keywords': '"neglect, formative experiences"', 'weight': 7.0, 'description': '"The School serves as a poignant reminder of Scrooge\'s childhood neglect, influencing his character development and emotional barriers."', 'source_id': 'chunk-bb21d58d36c6306fd8810ddd51c4a971'} +2024-10-30 06:53:29,317 - lightrag - INFO - get_edge:query: + MATCH (start:`JOE`)-[r]->(end:`SCROOGE`) + RETURN properties(r) as edge_properties + LIMIT 1 + :result:{'keywords': '"perspective contrast, moral dilemma"', 'weight': 12.0, 'description': '"Joe\'s cynical attitude towards death and belongings contrasts with Scrooge\'s moral horror, creating a tension between their perspectives."', 'source_id': 'chunk-e1f29eeadc1d8ab46dc8a0bbd3c56b64'} +2024-10-30 06:53:29,409 - lightrag - INFO - get_edge:query: + MATCH (start:`CHRISTMAS`)-[r]->(end:`SCROOGE'S NEPHEW`) + RETURN properties(r) as edge_properties + LIMIT 1 + :result:{'keywords': '"advocacy for holiday spirit, family dynamics""celebration, contrasting views""festivity, positive influence"', 'weight': 34.0, 'description': '"Scrooge\'s Nephew associates Christmas with goodwill and joy, which he tries to instill in Scrooge through their conversation.""Scrooge\'s Nephew defends the positive aspects of Christmas, contrasting Scrooge\'s view that the holiday is pointless.""Scrooge\'s nephew embodies the spirit of Christmas, representing joy and good humor during the holiday season.""Scrooge\'s nephew views Christmas as a merry occasion, symbolizing the warmth and generosity that Scrooge dismisses."', 'source_id': 'chunk-91614df5cb74cbe5e109a338a82041e9chunk-5dac41b3f9eeaf794f0147400b1718cdchunk-74e2466de2f67fd710ef2f20c0a8d9e0'} +2024-10-30 06:53:29,504 - lightrag - INFO - get_edge:query: + MATCH (start:`THE DAUGHTER`)-[r]->(end:`THE MOTHER`) + RETURN properties(r) as edge_properties + LIMIT 1 + :result:{'keywords': '"familial love, joy"', 'weight': 7.0, 'description': '"The Mother and Daughter share a loving and playful relationship, showcasing familial bonds and joy during the Christmas season."', 'source_id': 'chunk-54bdd22db1f84a965b5f4c06c9216d8d'} +2024-10-30 06:53:29,594 - lightrag - INFO - get_edge:query: + MATCH (start:`BOB CRATCHIT`)-[r]->(end:`THE TANK`) + RETURN properties(r) as edge_properties + LIMIT 1 + :result:{'keywords': '"workplace, struggle"', 'weight': 14.0, 'description': '"Bob\'s working conditions in The Tank under Scrooge reflect the challenges he faces as a struggling employee supporting his family."', 'source_id': 'chunk-94bea83e7153fc2064aa382b494936a1'} +2024-10-30 06:53:29,688 - lightrag - INFO - get_edge:query: + MATCH (start:`SCROOGE`)-[r]->(end:`THE HOUSE`) + RETURN properties(r) as edge_properties + LIMIT 1 + :result:{'keywords': '"haunting, setting influence""setting, atmosphere"', 'weight': 15.0, 'description': '"Scrooge\'s experiences and encounters with Marley occur within The House, which plays a significant role in the haunting atmosphere.""Scrooge\'s experiences with Marley\'s Ghost occur within The House, which plays a crucial role in the haunting atmosphere."', 'source_id': 'chunk-9c43dac2fcd5b578242d907ea6f8fc7b'} +2024-10-30 06:53:29,780 - lightrag - INFO - get_edge:query: + MATCH (start:`GHOST OF CHRISTMAS PRESENT`)-[r]->(end:`SPIRIT`) + RETURN properties(r) as edge_properties + LIMIT 1 + :result:{'keywords': '"mentoring, generosity"', 'weight': 10.0, 'description': '"The Ghost embodies the essence of Christmas present, revealing the themes of joy and abundance to Scrooge."', 'source_id': 'chunk-843b5b2f944c7413d9ca876e2e2f151f'} +2024-10-30 06:53:29,876 - lightrag - INFO - get_edge:query: + MATCH (start:`SCROOGE`)-[r]->(end:`THE CLOCK`) + RETURN properties(r) as edge_properties + LIMIT 1 + :result:{'keywords': '"disorientation, urgency""time distortion, confusion"', 'weight': 13.0, 'description': '"Scrooge\'s awareness of time is challenged by The Clock, reflecting his confusion and the urgency of his situation.""Scrooge\'s interaction with the faulty clock symbolizes his disconnection from time and reality, as he struggles to comprehend his experiences."', 'source_id': 'chunk-cb661c37436355ccec2769b1d0350c5f'} +2024-10-30 06:53:29,971 - lightrag - INFO - get_edge:query: + MATCH (start:`BOB CRATCHIT`)-[r]->(end:`THE POULTERER'S`) + RETURN properties(r) as edge_properties + LIMIT 1 + :result:{'keywords': '"commerce, generosity"', 'weight': 12.0, 'description': '"The Poulterer\'s shop is where Scrooge instructs the boy to buy a turkey for the Cratchit family, linking commerce to kindness."', 'source_id': 'chunk-90b95db5c53e4364a6bee36b7aa4d70f'} +2024-10-30 06:53:30,064 - lightrag - INFO - get_edge:query: + MATCH (start:`BEDLAM`)-[r]->(end:`SCROOGE`) + RETURN properties(r) as edge_properties + LIMIT 1 + :result:{'keywords': '"disdain, societal norms"', 'weight': 12.0, 'description': '"Scrooge invokes the concept of Bedlam to express his disbelief and frustration at the cheerfulness of others, implying a disdain for societal norms."', 'source_id': 'chunk-5dac41b3f9eeaf794f0147400b1718cd'} +2024-10-30 06:53:30,158 - lightrag - INFO - get_edge:query: + MATCH (start:`CHRISTMAS CAROL`)-[r]->(end:`SCROOGE`) + RETURN properties(r) as edge_properties + LIMIT 1 + :result:{'keywords': '"generosity, connection"', 'weight': 8.0, 'description': '"Scrooge recalls a Christmas carol, wishing to give to a boy, which signifies his longing for connection and generosity."', 'source_id': 'chunk-8590d9263cd2cd4fa583c432fc54e6c3'} +2024-10-30 06:53:30,252 - lightrag - INFO - get_edge:query: + MATCH (start:`SCROOGE`)-[r]->(end:`THE BELL`) + RETURN properties(r) as edge_properties + LIMIT 1 + :result:{'keywords': '"foreboding, supernatural""supernatural event, signaling"', 'weight': 15.0, 'description': '"The Bell\'s movement and sound foreshadow Marley\'s Ghost\'s appearance, enhancing the sense of impending supernatural activity in Scrooge\'s environment.""The Bell\'s unexpected ringing is associated with the appearance of Marley’s Ghost, enhancing the supernatural events in The House."', 'source_id': 'chunk-9c43dac2fcd5b578242d907ea6f8fc7b'} +2024-10-30 06:53:30,344 - lightrag - INFO - get_edge:query: + MATCH (start:`CHILDREN`)-[r]->(end:`SCROOGE`) + RETURN properties(r) as edge_properties + LIMIT 1 + :result:{'keywords': '"emotional detachment, joy""longing, innocence"', 'weight': 12.0, 'description': '"Scrooge\'s indifference towards children shows his emotional coldness and detachment from the joyous aspects of life.""Scrooge\'s reaction to the Children he observes in his memories reveals his longing for the happiness he once knew but has since lost."', 'source_id': 'chunk-74e2466de2f67fd710ef2f20c0a8d9e0chunk-bb21d58d36c6306fd8810ddd51c4a971'} +2024-10-30 06:53:30,437 - lightrag - INFO - get_edge:query: + MATCH (start:`GHOST`)-[r]->(end:`SPECTRE`) + RETURN properties(r) as edge_properties + LIMIT 1 + :result:{'keywords': '"identity, motivation"', 'weight': 20.0, 'description': '"The Spectre is synonymous with the Ghost, representing the collective spirit urging Scrooge to change his ways."', 'source_id': 'chunk-359187e7571bda4b0b08b2e0b6581e52'} +2024-10-30 06:53:30,528 - lightrag - INFO - get_edge:query: + MATCH (start:`POOR AND DESTITUTE`)-[r]->(end:`SCROOGE`) + RETURN properties(r) as edge_properties + LIMIT 1 + :result:{'keywords': '"miserliness, social neglect"', 'weight': 14.0, 'description': '"Scrooge\'s reluctance to support the Poor and Destitute highlights his miserly nature and his antagonism toward societal responsibility."', 'source_id': 'chunk-5dac41b3f9eeaf794f0147400b1718cd'} +2024-10-30 06:53:30,621 - lightrag - INFO - get_edge:query: + MATCH (start:`BOYS`)-[r]->(end:`SCROOGE`) + RETURN properties(r) as edge_properties + LIMIT 1 + :result:{'keywords': '"joy, childhood memories"', 'weight': 14.0, 'description': '"Scrooge feels joy upon seeing the boys, evoking memories of childhood experiences and emotions associated with them."', 'source_id': 'chunk-bb21d58d36c6306fd8810ddd51c4a971'} +2024-10-30 06:53:30,719 - lightrag - INFO - get_edge:query: + MATCH (start:`CHRISTMAS DAY`)-[r]->(end:`SCROOGE`) + RETURN properties(r) as edge_properties + LIMIT 1 + :result:{'keywords': '"seasonal significance, renewal""transformation, celebration"', 'weight': 19.0, 'description': '"Scrooge experiences a profound change on Christmas Day, which signifies his newfound joy and generosity.""Scrooge\'s change in attitude and actions occur on Christmas Day, making it a pivotal event in his story."', 'source_id': 'chunk-90b95db5c53e4364a6bee36b7aa4d70f'} +2024-10-30 06:53:30,814 - lightrag - INFO - get_edge:query: + MATCH (start:`BOB CRATCHIT`)-[r]->(end:`CHRISTMAS EVE`) + RETURN properties(r) as edge_properties + LIMIT 1 + :result:{'keywords': '"celebration, contrast""festive spirit, contrasting perspectives"', 'weight': 13.0, 'description': '"Bob Cratchit celebrates Christmas Eve with joy and innocence, showcasing the festive spirit that Scrooge rejects.""Bob Cratchit embodies the joy of Christmas Eve while Scrooge\'s perspective starkly contrasts with Bob\'s happiness during the holiday season."', 'source_id': 'chunk-d9aac3484185ac66045df92214d245d5'} +2024-10-30 06:53:30,909 - lightrag - INFO - get_edge:query: + MATCH (start:`BOB CRATCHIT`)-[r]->(end:`CAMDEN TOWN`) + RETURN properties(r) as edge_properties + LIMIT 1 + :result:{'keywords': '"contrast, warmth""family life, geographical contrast"', 'weight': 13.0, 'description': '"Bob Cratchit lives in Camden Town, highlighting the geographical context of his life and family, contrasting with Scrooge\'s isolated existence.""Camden Town serves as a location representing warmth and family contrast to Scrooge\'s loneliness."', 'source_id': 'chunk-d9aac3484185ac66045df92214d245d5'} +2024-10-30 06:53:31,005 - lightrag - INFO - get_edge:query: + MATCH (start:`CHRISTMAS`)-[r]->(end:`THE SHIP`) + RETURN properties(r) as edge_properties + LIMIT 1 + :result:{'keywords': '"unity, shared experience"', 'weight': 16.0, 'description': '"The Ship\'s crew celebrates Christmas together, creating a sense of unity and shared joy despite their circumstances."', 'source_id': 'chunk-91614df5cb74cbe5e109a338a82041e9'} +2024-10-30 06:53:31,099 - lightrag - INFO - get_edge:query: + MATCH (start:`IGNORANCE`)-[r]->(end:`SPIRIT`) + RETURN properties(r) as edge_properties + LIMIT 1 + :result:{'keywords': '"social issues, awareness""social warning, awareness"', 'weight': 30.0, 'description': '"The Spirit introduces Ignorance to Scrooge as a representation of societal failures, urging him to acknowledge and address these issues.""The Spirit introduces Ignorance to Scrooge as a representation of societal failures, urging him to acknowledge and address these issues.""The Spirit points out Ignorance, highlighting the need for awareness and responsibility toward societal issues.""The Spirit points out Ignorance, highlighting the need for awareness and responsibility toward societal issues."', 'source_id': 'chunk-02baee20cc9463dbe08170a8e1043e32chunk-e7637ff18c5ded77a68cce0a87883fad'} +2024-10-30 06:53:31,197 - lightrag - INFO - get_edge:query: + MATCH (start:`SCROOGE`)-[r]->(end:`WEALTH`) + RETURN properties(r) as edge_properties + LIMIT 1 + :result:{'keywords': '"materialism, character development"', 'weight': 8.0, 'description': '"Scrooge confronts the obsession with wealth which has led him away from meaningful connections and happiness."', 'source_id': 'chunk-b2f98bc7abb0c67d4c86055c7fd72218'} +2024-10-30 06:53:31,289 - lightrag - INFO - get_edge:query: + MATCH (start:`SCROOGE`)-[r]->(end:`THE THREE SPIRITS`) + RETURN properties(r) as edge_properties + LIMIT 1 + :result:{'keywords': '"redemption, transformation"', 'weight': 9.0, 'description': '"Scrooge is directly involved in the narrative concerning the Three Spirits who are meant to guide him toward redemption."', 'source_id': 'chunk-cb661c37436355ccec2769b1d0350c5f'} +2024-10-30 06:53:31,384 - lightrag - INFO - get_edge:query: + MATCH (start:`LONDON`)-[r]->(end:`SCROOGE`) + RETURN properties(r) as edge_properties + LIMIT 1 + :result:{'keywords': '"setting, seasonal context""setting, transformation"', 'weight': 12.0, 'description': '"London as the setting contextualizes Scrooge\'s experiences and transformations regarding Christmas celebrations.""Scrooge\'s experiences reflect the larger context of life in London during the festive season, emphasizing the mood of the city at that time."', 'source_id': 'chunk-d9aac3484185ac66045df92214d245d5chunk-43c9bee23adfa77aa9dedd22401bba7d'} +2024-10-30 06:53:31,480 - lightrag - INFO - get_edge:query: + MATCH (start:`BUSINESSMEN`)-[r]->(end:`SCROOGE`) + RETURN properties(r) as edge_properties + LIMIT 1 + :result:{'keywords': '"social interactions, superficiality"', 'weight': 7.0, 'description': '"Scrooge\'s past interactions with the businessmen are superficial, reflecting his focus on wealth and status rather than meaningful connections."', 'source_id': 'chunk-f1a4fbcf1ed86864b9bfd5e8dba4c683'} +2024-10-30 06:53:31,575 - lightrag - INFO - get_edge:query: + MATCH (start:`BOB CRATCHIT`)-[r]->(end:`THE FAMILY`) + RETURN properties(r) as edge_properties + LIMIT 1 + :result:{'keywords': '"family, responsibility"', 'weight': 16.0, 'description': '"Bob Cratchit is a central figure in The Family, demonstrating love and responsibility towards his children during Christmas."', 'source_id': 'chunk-94bea83e7153fc2064aa382b494936a1'} +2024-10-30 06:53:31,666 - lightrag - INFO - get_edge:query: + MATCH (start:`BOB`)-[r]->(end:`TINY TIM`) + RETURN properties(r) as edge_properties + LIMIT 1 + :result:{'keywords': '"family dynamics, loss"', 'weight': 8.0, 'description': '"Bob reflects on Tiny Tim\'s memory, highlighting the impact of his loss on the family dynamics."', 'source_id': 'chunk-91572b3cd42786ba4cb2f180ca25cbf4'} +2024-10-30 06:53:31,763 - lightrag - INFO - get_edge:query: + MATCH (start:`MARLEY`)-[r]->(end:`THE KNOCKER`) + RETURN properties(r) as edge_properties + LIMIT 1 + :result:{'keywords': '"supernatural symbolism, foreshadowing"', 'weight': 7.0, 'description': '"Marley is connected to the Knocker as the ghostly presence that Scrooge anticipates as he approaches his door, setting up the eerie tone of the haunting."', 'source_id': 'chunk-9c43dac2fcd5b578242d907ea6f8fc7b'} +2024-10-30 06:53:31,863 - lightrag - INFO - get_edge:query: + MATCH (start:`BEGGARS`)-[r]->(end:`SCROOGE`) + RETURN properties(r) as edge_properties + LIMIT 1 + :result:{'keywords': '"lack of compassion, social isolation"', 'weight': 12.0, 'description': '"Beggars do not seek help from Scrooge due to his reputation, highlighting his inability to connect and empathize with those in need."', 'source_id': 'chunk-74e2466de2f67fd710ef2f20c0a8d9e0'} +2024-10-30 06:53:31,965 - lightrag - INFO - get_edge:query: + MATCH (start:`GHOST OF CHRISTMAS PRESENT`)-[r]->(end:`TINY TIM`) + RETURN properties(r) as edge_properties + LIMIT 1 + :result:{'keywords': '"compassion, family"', 'weight': 18.0, 'description': '"The Ghost of Christmas Present reveals Tiny Tim’s struggles and optimism, emphasizing themes of compassion and family."', 'source_id': 'chunk-9e3921da66da5d761ab73cd849af6c43'} +2024-10-30 06:53:32,059 - lightrag - INFO - get_edge:query: + MATCH (start:`SCROOGE`)-[r]->(end:`WINDING RIVER`) + RETURN properties(r) as edge_properties + LIMIT 1 + :result:{'keywords': '"nostalgia, memory"', 'weight': 16.0, 'description': '"The winding river evokes memories and emotions for Scrooge, connecting him to his past experiences and places."', 'source_id': 'chunk-bb21d58d36c6306fd8810ddd51c4a971'} +2024-10-30 06:53:32,153 - lightrag - INFO - get_edge:query: + MATCH (start:`MULTITUDES`)-[r]->(end:`SCROOGE`) + RETURN properties(r) as edge_properties + LIMIT 1 + :result:{'keywords': '"alienation, introspection"', 'weight': 8.0, 'description': '"Scrooge\'s feelings of alienation are heightened as he witnesses the Multitudes, illustrating his inner turmoil and societal disconnect."', 'source_id': 'chunk-f1a4fbcf1ed86864b9bfd5e8dba4c683'} +2024-10-30 06:53:32,245 - lightrag - INFO - get_edge:query: + MATCH (start:`SCROOGE`)-[r]->(end:`SPIRIT OF CHRISTMAS PRESENT`) + RETURN properties(r) as edge_properties + LIMIT 1 + :result:{'keywords': '"transformation, generosity"', 'weight': 16.0, 'description': '"Scrooge interacts with the Spirit of Christmas Present, who shows him the joys of Christmas and the importance of generosity."', 'source_id': 'chunk-b0f459f5af1c3a5e0b92cbe4ee48b77b'} +2024-10-30 06:53:32,340 - lightrag - INFO - get_edge:query: + MATCH (start:`THE LIGHTHOUSE`)-[r]->(end:`THE WAVE`) + RETURN properties(r) as edge_properties + LIMIT 1 + :result:{'keywords': '"struggle, isolation"', 'weight': 14.0, 'description': '"The Wave\'s constant battering of the Lighthouse highlights the isolation and challenges faced by those in such remote environments."', 'source_id': 'chunk-91614df5cb74cbe5e109a338a82041e9'} +2024-10-30 06:53:32,434 - lightrag - INFO - get_edge:query: + MATCH (start:`SPIRIT`)-[r]->(end:`THE EVENT OF DEATH`) + RETURN properties(r) as edge_properties + LIMIT 1 + :result:{'keywords': '"emotional impact, mortality"', 'weight': 16.0, 'description': '"The Spirit highlights the emotional repercussions of The Event of Death, demonstrating the profound effects on those left behind."', 'source_id': 'chunk-83ac129dc9b56f84c46760d153d68e93'} +2024-10-30 06:53:32,527 - lightrag - INFO - get_edge:query: + MATCH (start:`MRS. CRATCHIT`)-[r]->(end:`SCROOGE`) + RETURN properties(r) as edge_properties + LIMIT 1 + :result:{'keywords': '"criticism, emotional conflict""resentment, family focus"', 'weight': 15.0, 'description': '"Mrs. Cratchit expresses her disdain for Scrooge while still wishing to celebrate Christmas for the sake of her family.""Mrs. Cratchit openly criticizes Scrooge during the Christmas dinner, expressing her feelings towards him and emphasizing the family\'s resentment."', 'source_id': 'chunk-19d72c57ae3408758b18d2568e86dc6b'} +2024-10-30 06:53:32,623 - lightrag - INFO - get_edge:query: + MATCH (start:`SCROOGE`)-[r]->(end:`THE WINDOW`) + RETURN properties(r) as edge_properties + LIMIT 1 + :result:{'keywords': '"curiosity, fear"', 'weight': 10.0, 'description': '"Scrooge approaches The Window, which acts as a portal to the outside world and the supernatural, illustrating his curiosity and fear."', 'source_id': 'chunk-cb661c37436355ccec2769b1d0350c5f'} +2024-10-30 06:53:32,717 - lightrag - INFO - get_edge:query: + MATCH (start:`FOG`)-[r]->(end:`SCROOGE`) + RETURN properties(r) as edge_properties + LIMIT 1 + :result:{'keywords': '"atmosphere, emotional reflection""obscurity, isolation"', 'weight': 16.0, 'description': '"Fog represents the obscured vision of Scrooge\'s soul and emotions, aligning with his unknowable nature.""The fog obscures vision and symbolizes Scrooge’s cloudy outlook on life, illustrating his isolation from societal warmth."', 'source_id': 'chunk-d9aac3484185ac66045df92214d245d5chunk-74e2466de2f67fd710ef2f20c0a8d9e0'} +2024-10-30 06:53:32,810 - lightrag - INFO - get_edge:query: + MATCH (start:`ROBIN CRUSOE`)-[r]->(end:`SCROOGE`) + RETURN properties(r) as edge_properties + LIMIT 1 + :result:{'keywords': '"literary influence, nostalgia"', 'weight': 7.0, 'description': '"Scrooge\'s reference to Robin Crusoe during his reflections shows how literary characters shaped his childhood thoughts and feelings."', 'source_id': 'chunk-8590d9263cd2cd4fa583c432fc54e6c3'} +2024-10-30 06:53:32,906 - lightrag - INFO - get_edge:query: + MATCH (start:`GHOST OF JACOB MARLEY`)-[r]->(end:`SCROOGE`) + RETURN properties(r) as edge_properties + LIMIT 1 + :result:{'keywords': '"warning, transformation"', 'weight': 18.0, 'description': '"Jacob Marley appears to Scrooge as a warning and catalyst for his eventual transformation into a better person."', 'source_id': 'chunk-9e3921da66da5d761ab73cd849af6c43'} +2024-10-30 06:53:33,001 - lightrag - INFO - get_edge:query: + MATCH (start:`MARTHA CRATCHIT`)-[r]->(end:`THE COUNTESS`) + RETURN properties(r) as edge_properties + LIMIT 1 + :result:{'keywords': '"social aspirations, class contrast"', 'weight': 10.0, 'description': '"Martha’s mention of having seen the Countess represents her connection to higher social circles and dreams beyond her current situation."', 'source_id': 'chunk-19d72c57ae3408758b18d2568e86dc6b'} +2024-10-30 06:53:33,095 - lightrag - INFO - get_edge:query: + MATCH (start:`SCROOGE`)-[r]->(end:`TINY TIM`) + RETURN properties(r) as edge_properties + LIMIT 1 + :result:{'keywords': '"generosity, familial love""innocence, hope""personal transformation, empathy""reflection, transformation""transformation, holiday spirit""transformation, mentorship""transformation, redemption"', 'weight': 67.0, 'description': '"Scrooge becomes a father figure to Tiny Tim, showing a deep commitment to his well-being after realizing the importance of family and caring for others.""Scrooge reflects on Tiny Tim and expresses concern for his wellbeing, indicating a pivotal change in his character and attitudes towards the less fortunate.""Scrooge\'s transformation is influenced by his reflections on the impact of Tiny Tim\'s life and death.""Scrooge becomes emotionally affected by Tiny Tim\'s situation, leading him to reflect on his past words and actions regarding the welfare of others.""Scrooge expresses a newfound joy during Christmas, indicating a change in attitude towards the spirit symbolized by Tiny Tim.""Scrooge reflects on Tiny Tim\'s essence and the impact of his potential death, considering how it could prompt him to change his ways.""Scrooge\'s intention to send a large turkey to Bob Cratchit\'s family, particularly to Tiny Tim, shows his emotional connection and desire to help.""Tiny Tim is affected by the family\'s feelings towards Scrooge, and he embodies the hope for joy despite Scrooge\'s unkind nature."', 'source_id': 'chunk-90b95db5c53e4364a6bee36b7aa4d70fchunk-19d72c57ae3408758b18d2568e86dc6bchunk-503f0bfa5453467c7c61d160a3540ecachunk-91572b3cd42786ba4cb2f180ca25cbf4chunk-8f738cb25d60a7dab782162d9d0a25edchunk-94bea83e7153fc2064aa382b494936a1'} +2024-10-30 06:53:33,191 - lightrag - INFO - get_edge:query: + MATCH (start:`MR. MARLEY`)-[r]->(end:`SCROOGE`) + RETURN properties(r) as edge_properties + LIMIT 1 + :result:{'keywords': '"past connection, isolation"', 'weight': 7.0, 'description': '"Scrooge reflects on Mr. Marley\'s death, highlighting his isolation and connection to past values that he now rejects."', 'source_id': 'chunk-5dac41b3f9eeaf794f0147400b1718cd'} +2024-10-30 06:53:33,287 - lightrag - INFO - get_edge:query: + MATCH (start:`CHRISTMAS`)-[r]->(end:`GROCERS'`) + RETURN properties(r) as edge_properties + LIMIT 1 + :result:{'keywords': '"retail, festive celebration"', 'weight': 16.0, 'description': '"The Grocers\' organization plays a crucial role during Christmas by providing goods that contribute to the festive spirit."', 'source_id': 'chunk-99b0ec7f7e006561352b5d65e849611d'} +2024-10-30 06:53:33,382 - lightrag - INFO - get_edge:query: + MATCH (start:`CHRISTMAS`)-[r]->(end:`THE DINNER`) + RETURN properties(r) as edge_properties + LIMIT 1 + :result:{'keywords': '"festive occasion, celebration"', 'weight': 20.0, 'description': '"The Dinner is part of the Christmas celebration, reflecting the traditions and spirit associated with this holiday."', 'source_id': 'chunk-503f0bfa5453467c7c61d160a3540eca'} +2024-10-30 06:53:33,475 - lightrag - INFO - get_edge:query: + MATCH (start:`APPLES`)-[r]->(end:`CHRISTMAS`) + RETURN properties(r) as edge_properties + LIMIT 1 + :result:{'keywords': '"seasonal offerings, tradition"', 'weight': 6.0, 'description': '"Apples are featured in markets during Christmas, indicating traditional holiday fare."', 'source_id': 'chunk-99b0ec7f7e006561352b5d65e849611d'} +2024-10-30 06:53:33,568 - lightrag - INFO - get_edge:query: + MATCH (start:`CLOCK`)-[r]->(end:`SCROOGE`) + RETURN properties(r) as edge_properties + LIMIT 1 + :result:{'keywords': '"time symbolism, anxiety"', 'weight': 14.0, 'description': '"Scrooge\'s observations of the Clock reflect his anxiety over time and the supernatural events unfolding around him."', 'source_id': 'chunk-c7b10789a9cb0af6c553730b29bd9034'} +2024-10-30 06:53:33,663 - lightrag - INFO - get_edge:query: + MATCH (start:`SCROOGE`)-[r]->(end:`THE WAREHOUSE`) + RETURN properties(r) as edge_properties + LIMIT 1 + :result:{'keywords': '"business partnership, character motivation""memories, apprenticeship"', 'weight': 16.0, 'description': '"Scrooge\'s connection to the Warehouse emphasizes his memories of apprenticeship and his past experiences.""The Warehouse symbolizes Scrooge\'s business practices and his partnership with Marley, shaping his character\'s motivations."', 'source_id': 'chunk-c6c248858d1b13ab7ee9ca13c1aeed6bchunk-89777b838d5447c7bd1ec11282c4ee89'} +2024-10-30 06:53:33,755 - lightrag - INFO - get_edge:query: + MATCH (start:`JACOB MARLEY`)-[r]->(end:`SCROOGE`) + RETURN properties(r) as edge_properties + LIMIT 1 + :result:{'keywords': '"catalyst for change, supernatural guidance""past influence, warning""redemption, influence""redemption, moral lesson""redemption, spiritual influence""self-reflection, legacy""supernatural encounter, past ties""transformation, influence""warning, catalyst""warning, consequence""warning, transformation"', 'weight': 98.0, 'description': '"Jacob Marley influences Scrooge\'s transformation by appearing as a spirit to warn him.""Jacob Marley is the spirit who brings forth the need for Scrooge to change his ways, impacting his character development.""Scrooge confronts Jacob Marley, his former business partner, who returns as a ghost to influence Scrooge\'s perspective on life and his actions.""Scrooge converses with the ghost of Jacob Marley, who tries to guide him toward understanding the importance of compassion and the consequences of his actions.""Scrooge interacts with Jacob Marley, who serves as a critical warning for Scrooge to change his ways before it\'s too late.""Scrooge reflects on Jacob Marley’s past warnings, which serve as a catalyst for his transformation.""Scrooge\'s transformation is prompted by the appearance and message of Jacob Marley, his former business partner.""Jacob Marley warns Scrooge about his fate and the importance of change, acting as a catalyst for Scrooge\'s transformation.""Scrooge acknowledges Jacob Marley, recognizing his former business partner\'s lost opportunities and the implications for his own life.""Scrooge is visited by Jacob Marley, who warns him about his fate and the necessity for personal change to avoid a bleak future.""Scrooge\'s transformation is influenced by Jacob Marley\'s ghost, who represents the consequences of a life poorly lived."', 'source_id': 'chunk-90b95db5c53e4364a6bee36b7aa4d70fchunk-359187e7571bda4b0b08b2e0b6581e52chunk-da2472b4ef2a535b62908f14d0fb0ca9chunk-02baee20cc9463dbe08170a8e1043e32chunk-1aa50206d02ed89418f65f97c6441d1cchunk-91572b3cd42786ba4cb2f180ca25cbf4chunk-cb661c37436355ccec2769b1d0350c5f'} +2024-10-30 06:53:33,848 - lightrag - INFO - get_edge:query: + MATCH (start:`CITY`)-[r]->(end:`SCROOGE`) + RETURN properties(r) as edge_properties + LIMIT 1 + :result:{'keywords': '"indifference, societal critique""societal impact, personal change"', 'weight': 15.0, 'description': '"Scrooge experiences the indifference of the City towards his death, illustrating societal apathy.""Scrooge\'s transformation is set against the backdrop of the City, reflecting the societal implications of his personal changes."', 'source_id': 'chunk-843b5b2f944c7413d9ca876e2e2f151fchunk-02baee20cc9463dbe08170a8e1043e32'} +2024-10-30 06:53:33,947 - lightrag - INFO - get_edge:query: + MATCH (start:`SCROOGE`)-[r]->(end:`THE YOUNG GIRL`) + RETURN properties(r) as edge_properties + LIMIT 1 + :result:{'keywords': '"reflection, lost love"', 'weight': 8.0, 'description': '"Scrooge reflects on his past feelings for the Young Girl, recognizing the change in his own spirit and desires over time."', 'source_id': 'chunk-54bdd22db1f84a965b5f4c06c9216d8d'} +2024-10-30 06:53:34,041 - lightrag - INFO - get_edge:query: + MATCH (start:`CHRISTMAS`)-[r]->(end:`THE SPIRIT`) + RETURN properties(r) as edge_properties + LIMIT 1 + :result:{'keywords': '"holiday spirit, compassion""seasonal influence, moral reflection"', 'weight': 34.0, 'description': '"The Spirit connects various scenes to the theme of Christmas, emphasizing its impact on individuals’ attitudes and behaviors.""The Spirit connects various scenes to the theme of Christmas, emphasizing its impact on individuals’ attitudes and behaviors.""The Spirit\'s appearances highlight the themes of Christmas and the importance of compassion and community.""The Spirit\'s appearances highlight the themes of Christmas and the importance of compassion and community."', 'source_id': 'chunk-91614df5cb74cbe5e109a338a82041e9chunk-da2472b4ef2a535b62908f14d0fb0ca9'} +2024-10-30 06:53:34,131 - lightrag - INFO - get_edge:query: + MATCH (start:`CHRISTMAS`)-[r]->(end:`THE LIGHTHOUSE`) + RETURN properties(r) as edge_properties + LIMIT 1 + :result:{'keywords': '"hope, celebration"', 'weight': 14.0, 'description': '"The Lighthouse is a site where Christmas is celebrated, symbolizing hope and warmth in a bleak environment."', 'source_id': 'chunk-91614df5cb74cbe5e109a338a82041e9'} +2024-10-30 06:53:34,319 - lightrag - INFO - get_edge:query: + MATCH (start:`SCROOGE`)-[r]->(end:`SCROOGE'S NIECE`) + RETURN properties(r) as edge_properties + LIMIT 1 + :result:{'keywords': '"family bonds, celebration""family conflict, holiday spirit""family dynamics, transformation""ideological conflict, family dynamics"', 'weight': 30.0, 'description': '"Scrooge observes his niece enjoying the Christmas festivities, which influences his own mood and perspective towards the holiday spirit.""Scrooge\'s Niece expresses indignation towards Scrooge\'s belief that Christmas is a humbug, demonstrating her strong opinions against his views.""Scrooge\'s niece embraces the joyful atmosphere of the celebration, engaging with family and inviting good-natured fun.""Scrooge\'s Niece shows indignation toward Scrooge\'s negativity about Christmas, highlighting the familial tensions between them."', 'source_id': 'chunk-773d0df1dd25c356f7b771d780583e09chunk-43c9bee23adfa77aa9dedd22401bba7d'} +2024-10-30 06:53:34,415 - lightrag - INFO - get_edge:query: + MATCH (start:`SCROOGE`)-[r]->(end:`THE GIRL`) + RETURN properties(r) as edge_properties + LIMIT 1 + :result:{'keywords': '"family ties, kindness"', 'weight': 8.0, 'description': '"Scrooge\'s pleasant interaction with The Girl at Fred\'s house shows his desire for family connection and warmth."', 'source_id': 'chunk-8f738cb25d60a7dab782162d9d0a25ed'} +2024-10-30 06:53:34,508 - lightrag - INFO - get_edge:query: + MATCH (start:`SCROOGE`)-[r]->(end:`THE POULTERER'S`) + RETURN properties(r) as edge_properties + LIMIT 1 + :result:{'keywords': '"generosity, commerce"', 'weight': 8.0, 'description': '"Scrooge interacts with The Poulterer\'s to purchase a turkey as an act of generosity toward Bob Cratchit\'s family."', 'source_id': 'chunk-90b95db5c53e4364a6bee36b7aa4d70f'} +2024-10-30 06:53:34,603 - lightrag - INFO - get_edge:query: + MATCH (start:`THE CRATCHIT HOUSE`)-[r]->(end:`THE DEBT`) + RETURN properties(r) as edge_properties + LIMIT 1 + :result:{'keywords': '"financial burden, atmosphere"', 'weight': 18.0, 'description': '"The Debt looms over The Cratchit House, contributing to the emotional atmosphere and fears of its inhabitants during the story."', 'source_id': 'chunk-83ac129dc9b56f84c46760d153d68e93'} +2024-10-30 06:53:34,693 - lightrag - INFO - get_edge:query: + MATCH (start:`JOE`)-[r]->(end:`THE WOMAN`) + RETURN properties(r) as edge_properties + LIMIT 1 + :result:{'keywords': '"conversational dynamics, materialism""dialogue, humor, death""humor, interaction""social interaction, community dynamics"', 'weight': 23.0, 'description': '"Joe and The Woman are engaged in a discussion about the deceased man’s belongings, illustrating their shared perspective on material possessions.""Joe and The Woman engage in a conversation, highlighting community dynamics and common social interactions among friends or acquaintances.""Joe and The Woman engage in dialogue about the deceased\'s belongings, showcasing their interactions and differing attitudes towards death.""Joe and The Woman share a humorous exchange about the bed-curtains, reflecting the jovial spirit of the gathering."', 'source_id': 'chunk-e1f29eeadc1d8ab46dc8a0bbd3c56b64chunk-89777b838d5447c7bd1ec11282c4ee89'} +2024-10-30 06:53:34,787 - lightrag - INFO - get_edge:query: + MATCH (start:`CHRISTMAS HOLIDAYS`)-[r]->(end:`SCROOGE`) + RETURN properties(r) as edge_properties + LIMIT 1 + :result:{'keywords': '"transformation, significance of time"', 'weight': 16.0, 'description': '"Christmas Holidays are integral to Scrooge\'s journey, representing the time of year that prompts his change and reinstates joy."', 'source_id': 'chunk-e7637ff18c5ded77a68cce0a87883fad'} +2024-10-30 06:53:34,881 - lightrag - INFO - get_edge:query: + MATCH (start:`SCROOGE`)-[r]->(end:`THE GOLDEN IDOL`) + RETURN properties(r) as edge_properties + LIMIT 1 + :result:{'keywords': '"materialism, lost connections"', 'weight': 20.0, 'description': '"The Golden Idol represents the materialistic pursuits that have displaced meaningful connections in Scrooge\'s life."', 'source_id': 'chunk-b2f98bc7abb0c67d4c86055c7fd72218'} +2024-10-30 06:53:34,974 - lightrag - INFO - get_edge:query: + MATCH (start:`OLD SCRATCH`)-[r]->(end:`THE FUNERAL`) + RETURN properties(r) as edge_properties + LIMIT 1 + :result:{'keywords': '"morbid humor, societal views"', 'weight': 14.0, 'description': '"The concept of Old Scratch is invoked in the context of discussions about The Funeral, highlighting societal attitudes towards death."', 'source_id': 'chunk-f1a4fbcf1ed86864b9bfd5e8dba4c683'} +2024-10-30 06:53:35,071 - lightrag - INFO - get_edge:query: + MATCH (start:`MARLEY'S FUNERAL`)-[r]->(end:`SCROOGE`) + RETURN properties(r) as edge_properties + LIMIT 1 + :result:{'keywords': '"loss, character journey"', 'weight': 18.0, 'description': '"Marley\'s Funeral signifies the beginning of Scrooge\'s emotional journey, showcasing his reaction to loss and setting the stage for the narrative."', 'source_id': 'chunk-89777b838d5447c7bd1ec11282c4ee89'} +2024-10-30 06:53:35,236 - lightrag - INFO - get_edge:query: + MATCH (start:`SCROOGE`)-[r]->(end:`THE OBSCURE PART OF TOWN`) + RETURN properties(r) as edge_properties + LIMIT 1 + :result:{'keywords': '"confrontation, societal reflection"', 'weight': 9.0, 'description': '"Scrooge\'s journey leads him to the Obscure Part of Town, representing his confrontation with the darker aspects of life and society."', 'source_id': 'chunk-f1a4fbcf1ed86864b9bfd5e8dba4c683'} +2024-10-30 06:53:35,331 - lightrag - INFO - get_edge:query: + MATCH (start:`BOB CRATCHIT`)-[r]->(end:`THE GATHERING`) + RETURN properties(r) as edge_properties + LIMIT 1 + :result:{'keywords': '"family commitment, celebration"', 'weight': 16.0, 'description': '"Bob Cratchit leads his family in the Christmas Gathering, showcasing their love and commitment to celebrating together despite worries."', 'source_id': 'chunk-19d72c57ae3408758b18d2568e86dc6b'} +2024-10-30 06:53:35,428 - lightrag - INFO - get_edge:query: + MATCH (start:`CHRISTMAS PUDDING`)-[r]->(end:`CRATCHIT FAMILY`) + RETURN properties(r) as edge_properties + LIMIT 1 + :result:{'keywords': '"family unity, celebration"', 'weight': 10.0, 'description': '"The Cratchit Family gathers around to enjoy the Christmas Pudding, demonstrating their togetherness and festive spirit."', 'source_id': 'chunk-503f0bfa5453467c7c61d160a3540eca'} +2024-10-30 06:53:35,525 - lightrag - INFO - get_edge:query: + MATCH (start:`OLD SCROOGE`)-[r]->(end:`SCROOGE`) + RETURN properties(r) as edge_properties + LIMIT 1 + :result:{'keywords': '"character history, development"', 'weight': 14.0, 'description': '"Scrooge\'s history is revealed through the mention of Old Scrooge, indicating his past beliefs and practices that shape his current persona."', 'source_id': 'chunk-89777b838d5447c7bd1ec11282c4ee89'} +2024-10-30 06:53:35,617 - lightrag - INFO - get_edge:query: + MATCH (start:`SCROOGE`)-[r]->(end:`THE DARKNESS`) + RETURN properties(r) as edge_properties + LIMIT 1 + :result:{'keywords': '"internal struggle, unknown"', 'weight': 12.0, 'description': '"Scrooge finds himself enveloped by The Darkness, representing his internal struggle and the unknown future he faces."', 'source_id': 'chunk-cb661c37436355ccec2769b1d0350c5f'} +2024-10-30 06:53:35,711 - lightrag - INFO - get_edge:query: + MATCH (start:`BOB CRATCHIT`)-[r]->(end:`CAROLINE`) + RETURN properties(r) as edge_properties + LIMIT 1 + :result:{'keywords': '"hope, financial strain""marital struggle, economic challenges"', 'weight': 14.0, 'description': '"Caroline and Bob Cratchit represent a married couple grappling with the implications of financial stress and loss in their family.""Caroline expresses hope combined with anxiety regarding their financial situation, affecting her relationship with Bob Cratchit."', 'source_id': 'chunk-83ac129dc9b56f84c46760d153d68e93'} +2024-10-30 06:53:35,803 - lightrag - INFO - get_edge:query: + MATCH (start:`CHESTNUTS`)-[r]->(end:`CHRISTMAS`) + RETURN properties(r) as edge_properties + LIMIT 1 + :result:{'keywords': '"festive foods, sensory experiences"', 'weight': 8.0, 'description': '"Chestnuts are sold during Christmas, contributing to the sensory experience of the holiday."', 'source_id': 'chunk-99b0ec7f7e006561352b5d65e849611d'} +2024-10-30 06:53:35,902 - lightrag - INFO - get_edge:query: + MATCH (start:`THE LOW-BROWED SHOP`)-[r]->(end:`THE TOWN`) + RETURN properties(r) as edge_properties + LIMIT 1 + :result:{'keywords': '"socioeconomic issues, decay"', 'weight': 14.0, 'description': '"The Low-Browed Shop exists within The Town, reflecting its degradation and the poor conditions of its inhabitants."', 'source_id': 'chunk-f1a4fbcf1ed86864b9bfd5e8dba4c683'} +2024-10-30 06:53:35,996 - lightrag - INFO - get_edge:query: + MATCH (start:`SCROOGE`)-[r]->(end:`THE OLD GENTLEMAN`) + RETURN properties(r) as edge_properties + LIMIT 1 + :result:{'keywords': '"kindness, transformation"', 'weight': 18.0, 'description': '"Scrooge shows kindness and generosity to The Old Gentleman, marking a significant change in his character and relationships."', 'source_id': 'chunk-8f738cb25d60a7dab782162d9d0a25ed'} +2024-10-30 06:53:36,090 - lightrag - INFO - get_edge:query: + MATCH (start:`HOME`)-[r]->(end:`THE MOTHER`) + RETURN properties(r) as edge_properties + LIMIT 1 + :result:{'keywords': '"family unity, celebration"', 'weight': 18.0, 'description': '"Home is where The Mother organizes the family Christmas celebration, serving as the heart of their togetherness."', 'source_id': 'chunk-da2472b4ef2a535b62908f14d0fb0ca9'} +2024-10-30 06:53:36,183 - lightrag - INFO - get_edge:query: + MATCH (start:`SCROOGE`)-[r]->(end:`THE BED`) + RETURN properties(r) as edge_properties + LIMIT 1 + :result:{'keywords': '"contemplation, mortality"', 'weight': 9.0, 'description': '"Scrooge observes The Bed where The Deceased lies, prompting profound thoughts on mortality and regret."', 'source_id': 'chunk-e1f29eeadc1d8ab46dc8a0bbd3c56b64'} +2024-10-30 06:53:36,276 - lightrag - INFO - get_edge:query: + MATCH (start:`SCROOGE`)-[r]->(end:`THE DRESSING-GOWN`) + RETURN properties(r) as edge_properties + LIMIT 1 + :result:{'keywords': '"characterization, solitude"', 'weight': 7.0, 'description': '"The Dressing-Gown emphasizes Scrooge\'s character as a solitary, reclusive man, reinforcing his isolation during the haunting."', 'source_id': 'chunk-9c43dac2fcd5b578242d907ea6f8fc7b'} +2024-10-30 06:53:36,372 - lightrag - INFO - get_edge:query: + MATCH (start:`SCROOGE`)-[r]->(end:`SUNDAY CLOTHES BOY`) + RETURN properties(r) as edge_properties + LIMIT 1 + :result:{'keywords': '"kindness, generosity"', 'weight': 7.0, 'description': '"Scrooge\'s interaction with the Sunday Clothes Boy highlights his evolving attitude towards generosity and kindness."', 'source_id': 'chunk-90b95db5c53e4364a6bee36b7aa4d70f'} +2024-10-30 06:53:36,466 - lightrag - INFO - get_edge:query: + MATCH (start:`SCROOGE`)-[r]->(end:`THE YARD`) + RETURN properties(r) as edge_properties + LIMIT 1 + :result:{'keywords': '"isolation, emotional landscape"', 'weight': 16.0, 'description': '"The Yard represents the isolation in Scrooge\'s life, physically and metaphorically reflecting his emotional state."', 'source_id': 'chunk-d9aac3484185ac66045df92214d245d5'} +2024-10-30 06:53:36,563 - lightrag - INFO - get_edge:query: + MATCH (start:`CHRISTMAS EVE`)-[r]->(end:`SCROOGE`) + RETURN properties(r) as edge_properties + LIMIT 1 + :result:{'keywords': '"holiday spirit, character development"', 'weight': 16.0, 'description': '"Scrooge\'s actions and attitudes towards Christmas Eve highlight his disdain for traditional celebrations, setting the tone for his character arc."', 'source_id': 'chunk-d9aac3484185ac66045df92214d245d5'} +2024-10-30 06:53:36,656 - lightrag - INFO - get_edge:query: + MATCH (start:`COLD WEATHER`)-[r]->(end:`SCROOGE`) + RETURN properties(r) as edge_properties + LIMIT 1 + :result:{'keywords': '"atmosphere, personality mirror"', 'weight': 18.0, 'description': '"The cold weather reflects Scrooge\'s icy demeanor, emphasizing his negative attitude towards life and others."', 'source_id': 'chunk-74e2466de2f67fd710ef2f20c0a8d9e0'} +2024-10-30 06:53:36,750 - lightrag - INFO - get_edge:query: + MATCH (start:`MARLEY`)-[r]->(end:`SCROOGE`) + RETURN properties(r) as edge_properties + LIMIT 1 + :result:{'keywords': '"ghostly encounter, transformation""mourning, partnership""partnership, regret""past influence, personal history""past influence, regret""redemption, confrontation""reflection, theme of regret""supernatural connection, past relationships"', 'weight': 65.0, 'description': '"Marley’s influence and past relationship with Scrooge is indicated, suggesting a connection that impacts Scrooge\'s character growth.""Scrooge is deeply affected by Marley\'s death, illustrated through his role as the sole executor and mourner of Marley.""Scrooge reflects on Marley, revealing his past connection and the haunting aspect of Marley\'s death, which influences Scrooge\'s character arc.""Scrooge\'s encounter with Marley’s Ghost serves as a confrontation with his past self and the life choices he regrets, depicting the theme of redemption.""Scrooge and Marley were business partners, and Marley\'s death greatly impacts Scrooge, highlighting themes of loss and regret.""Scrooge encounters Marley’s ghost, which challenges his beliefs and signifies the start of his transformation.""Scrooge reflects on Marley\'s death, indicating the profound effect it had on his life, shaping his current perspective on generosity and the holidays.""Scrooge\'s reflection on Marley underscores the theme of regret and the potential for change in his character\'s journey."', 'source_id': 'chunk-5dac41b3f9eeaf794f0147400b1718cdchunk-89777b838d5447c7bd1ec11282c4ee89chunk-d9aac3484185ac66045df92214d245d5chunk-9c43dac2fcd5b578242d907ea6f8fc7bchunk-843b5b2f944c7413d9ca876e2e2f151f'} +2024-10-30 06:53:36,848 - lightrag - INFO - get_edge:query: + MATCH (start:`FRED`)-[r]->(end:`SCROOGE`) + RETURN properties(r) as edge_properties + LIMIT 1 + :result:{'keywords': '"family connection, goodwill""family connection, reconciliation""family ties, contrast""family ties, redemption""family, contrast""family, reconciliatory""family, rekindled relationships""family, transformation""rejection, familial dynamics"', 'weight': 66.0, 'description': '"Fred attempts to reach out to Scrooge for family connections, representing the warmth of familial love against Scrooge\'s coldness.""Fred expresses admiration and gratitude for Scrooge, highlighting the family connection and the hope for Scrooge\'s redemption.""Fred\'s joyful and loving nature in contrast to Scrooge\'s bitterness illustrates the theme of familial love versus isolation.""Scrooge and Fred share a familial bond, with Fred expressing goodwill and celebrating Scrooge despite his uncle\'s previous behavior.""Scrooge expresses a desire to visit Fred, which signifies a reconciliatory gesture toward his family.""Scrooge surprises Fred with his unexpected visit, indicating a shift in their familial relationship and Scrooge\'s attitude toward family.""Scrooge\'s interaction with Fred emphasizes his rejection of familial warmth during the Christmas season.""Scrooge visits his nephew Fred, demonstrating the rekindling of family ties and the spirit of Christmas.""Scrooge\'s visit to Fred signifies a reconnection with family and a shift towards embracing Christmas spirit."', 'source_id': 'chunk-89777b838d5447c7bd1ec11282c4ee89chunk-e7637ff18c5ded77a68cce0a87883fadchunk-9e3921da66da5d761ab73cd849af6c43chunk-94bea83e7153fc2064aa382b494936a1chunk-8f738cb25d60a7dab782162d9d0a25ed'} +2024-10-30 06:53:36,944 - lightrag - INFO - get_edge:query: + MATCH (start:`SCROOGE`)-[r]->(end:`SCROOGE'S NEPHEW`) + RETURN properties(r) as edge_properties + LIMIT 1 + :result:{'keywords': '"family conflict, contrasting views""family conflict, differing perspectives""family dynamics, contrast""family dynamics, contrasting views""family dynamics, holiday spirit""family dynamics, opposing views""family, festive spirit"', 'weight': 56.0, 'description': '"Scrooge and his nephew engage in a verbal exchange where the nephew represents joy and celebration, contrasting with Scrooge\'s cynicism and disdain.""Scrooge\'s Nephew attempts to encourage Scrooge to embrace Christmas and reconcile despite Scrooge\'s insistence on maintaining his disdain.""Scrooge\'s Nephew contrasts with Scrooge, advocating for merriment and showing pity for his uncle\'s ill tempers.""Scrooge\'s Nephew tries to cheer Scrooge up and promote the joy of Christmas, but is met with rejection and negativity.""Scrooge\'s Nephew tries to convince Scrooge of the joys of Christmas, illustrating the conflict between their differing views on the holiday.""Scrooge\'s Nephew often expresses pity for Scrooge, believing that Scrooge loses more by avoiding family gatherings and Christmas cheer.""Scrooge\'s relationship with his nephew highlights the contrast between their different views on Christmas and joy."', 'source_id': 'chunk-91614df5cb74cbe5e109a338a82041e9chunk-773d0df1dd25c356f7b771d780583e09chunk-5dac41b3f9eeaf794f0147400b1718cdchunk-74e2466de2f67fd710ef2f20c0a8d9e0'} +2024-10-30 06:53:37,039 - lightrag - INFO - get_edge:query: + MATCH (start:`GHOST OF CHRISTMAS YET TO COME`)-[r]->(end:`SPIRIT`) + RETURN properties(r) as edge_properties + LIMIT 1 + :result:{'keywords': '"foreshadowing, guidance"', 'weight': 7.0, 'description': '"The Spirit is connected to the Ghost of Christmas Yet to Come as both serve to illustrate potential future outcomes for Scrooge."', 'source_id': 'chunk-02baee20cc9463dbe08170a8e1043e32'} +2024-10-30 06:53:37,132 - lightrag - INFO - get_edge:query: + MATCH (start:`MISERY'S REFUGE`)-[r]->(end:`SPIRIT`) + RETURN properties(r) as edge_properties + LIMIT 1 + :result:{'keywords': '"social awareness, empathy"', 'weight': 10.0, 'description': '"The Spirit\'s presence in Misery\'s Refuge underscores the necessity for societal compassion during difficult times."', 'source_id': 'chunk-e7637ff18c5ded77a68cce0a87883fad'} +2024-10-30 06:53:37,227 - lightrag - INFO - get_edge:query: + MATCH (start:`SCROOGE`)-[r]->(end:`THE CHURCH`) + RETURN properties(r) as edge_properties + LIMIT 1 + :result:{'keywords': '"community, spirituality"', 'weight': 9.0, 'description': '"Scrooge\'s visit to The Church reflects his desire to embrace the spirit of Christmas and community engagement."', 'source_id': 'chunk-8f738cb25d60a7dab782162d9d0a25ed'} +2024-10-30 06:53:37,321 - lightrag - INFO - get_edge:query: + MATCH (start:`CHRISTMAS`)-[r]->(end:`PEARS`) + RETURN properties(r) as edge_properties + LIMIT 1 + :result:{'keywords': '"seasonal offerings, tradition"', 'weight': 6.0, 'description': '"Pears are part of the fruits offered during the Christmas season, enhancing festive markets."', 'source_id': 'chunk-99b0ec7f7e006561352b5d65e849611d'} +2024-10-30 06:53:37,416 - lightrag - INFO - get_edge:query: + MATCH (start:`THE FATHER`)-[r]->(end:`THE MOTHER`) + RETURN properties(r) as edge_properties + LIMIT 1 + :result:{'keywords': '"family bond, love""family dynamics, togetherness"', 'weight': 14.0, 'description': '"The Father and The Mother share a loving relationship, supporting each other during the festivities and caring for their family.""The Mother and Father are depicted together, emphasizing family dynamics during the festive occasion."', 'source_id': 'chunk-da2472b4ef2a535b62908f14d0fb0ca9'} +2024-10-30 06:53:37,511 - lightrag - INFO - get_edge:query: + MATCH (start:`SCROOGE`)-[r]->(end:`THE PEOPLE`) + RETURN properties(r) as edge_properties + LIMIT 1 + :result:{'keywords': '"community, joy"', 'weight': 8.0, 'description': '"Scrooge greets The People he encounters with joy and a newfound delight, signaling his welcome transformation."', 'source_id': 'chunk-8f738cb25d60a7dab782162d9d0a25ed'} +2024-10-30 06:53:37,599 - lightrag - INFO - get_edge:query: + MATCH (start:`CRATCHIT FAMILY`)-[r]->(end:`SCROOGE`) + RETURN properties(r) as edge_properties + LIMIT 1 + :result:{'keywords': '"compassion, social awareness"', 'weight': 7.0, 'description': '"Scrooge\'s reflections on the Cratchit family\'s situation symbolize his evolving understanding of compassion and social responsibility."', 'source_id': 'chunk-83ac129dc9b56f84c46760d153d68e93'} +2024-10-30 06:53:37,693 - lightrag - INFO - get_edge:query: + MATCH (start:`CRATCHIT FAMILY`)-[r]->(end:`MRS. CRATCHIT`) + RETURN properties(r) as edge_properties + LIMIT 1 + :result:{'keywords': '"nurturing, familial care"', 'weight': 9.0, 'description': '"Mrs. Cratchit plays a significant role in nurturing the family atmosphere during Christmas by preparing and caring for everyone."', 'source_id': 'chunk-7e2e7ebcc19a53b399dc03aded4743e7'} +2024-10-30 06:53:37,786 - lightrag - INFO - get_edge:query: + MATCH (start:`CHRISTMAS-TIME`)-[r]->(end:`THE PHANTOM`) + RETURN properties(r) as edge_properties + LIMIT 1 + :result:{'keywords': '"supernatural influence, time of reflection"', 'weight': 8.0, 'description': '"The Phantom\'s visits coincide with Christmas time, a time symbolizing reflection, redemption, and moral awakening."', 'source_id': 'chunk-f1a4fbcf1ed86864b9bfd5e8dba4c683'} +2024-10-30 06:53:37,880 - lightrag - INFO - get_edge:query: + MATCH (start:`CHRISTMAS`)-[r]->(end:`GREAT BRITAIN`) + RETURN properties(r) as edge_properties + LIMIT 1 + :result:{'keywords': '"celebration, societal mood""cultural context, celebration"', 'weight': 14.0, 'description': '"Christmas takes place within Great Britain, influencing the cultural depiction of the holiday and the activities that occur.")"The celebration of Christmas brings a cheerful atmosphere to Great Britain despite the gloomy weather conditions."', 'source_id': 'chunk-99b0ec7f7e006561352b5d65e849611d'} +2024-10-30 06:53:37,973 - lightrag - INFO - get_edge:query: + MATCH (start:`GHOST OF CHRISTMAS YET TO COME`)-[r]->(end:`SCROOGE`) + RETURN properties(r) as edge_properties + LIMIT 1 + :result:{'keywords': '"forewarning, change""future consequences, redemption"', 'weight': 38.0, 'description': '"The Ghost of Christmas Yet to Come presents a foreboding vision of Scrooge\'s future, driving home the need for personal change.""The Ghost of Christmas Yet to Come presents a foreboding vision of Scrooge\'s future, driving home the need for personal change.""The Ghost shows Scrooge visions of the future, challenging him to change his ways to avoid a grim destiny.""The Ghost shows Scrooge visions of the future, challenging him to change his ways to avoid a grim destiny."', 'source_id': 'chunk-02baee20cc9463dbe08170a8e1043e32chunk-9e3921da66da5d761ab73cd849af6c43'} +2024-10-30 06:53:38,068 - lightrag - INFO - get_edge:query: + MATCH (start:`CHRISTMAS`)-[r]->(end:`HOLLY`) + RETURN properties(r) as edge_properties + LIMIT 1 + :result:{'keywords': '"festive decorations, holiday spirit"', 'weight': 8.0, 'description': '"Holly contributes to the festive decorations associated with the Christmas celebration."', 'source_id': 'chunk-99b0ec7f7e006561352b5d65e849611d'} +2024-10-30 06:53:38,163 - lightrag - INFO - get_edge:query: + MATCH (start:`SCROOGE`)-[r]->(end:`SHADOW OF HIMSELF`) + RETURN properties(r) as edge_properties + LIMIT 1 + :result:{'keywords': '"introspection, personal growth"', 'weight': 9.0, 'description': '"Scrooge hopes to learn from the Shadow of Himself, signifying his desire for personal growth and understanding of his life choices."', 'source_id': 'chunk-f1a4fbcf1ed86864b9bfd5e8dba4c683'} +2024-10-30 06:53:38,259 - lightrag - INFO - get_edge:query: + MATCH (start:`SCROOGE`)-[r]->(end:`THE CLERK`) + RETURN properties(r) as edge_properties + LIMIT 1 + :result:{'keywords': '"contrast in attitudes, workplace dynamics""unfair treatment, workplace dynamics"', 'weight': 13.0, 'description': '"Scrooge\'s treatment of the Clerk highlights his miserly and cruel nature, contributing to an oppressive work environment.""The Clerk represents the festive spirit of Christmas that Scrooge dismisses, showcasing Scrooge\'s coldness."', 'source_id': 'chunk-74e2466de2f67fd710ef2f20c0a8d9e0chunk-5dac41b3f9eeaf794f0147400b1718cd'} +2024-10-30 06:53:38,355 - lightrag - INFO - get_edge:query: + MATCH (start:`SCROOGE`)-[r]->(end:`THE GHOST OF JACOB MARLEY`) + RETURN properties(r) as edge_properties + LIMIT 1 + :result:{'keywords': '"transformation, warning"', 'weight': 10.0, 'description': '"Scrooge\'s encounter with the Ghost of Jacob Marley initiates his journey of self-reflection and realization."', 'source_id': 'chunk-90b95db5c53e4364a6bee36b7aa4d70f'} +2024-10-30 06:53:38,448 - lightrag - INFO - get_edge:query: + MATCH (start:`CHRISTMAS`)-[r]->(end:`GEESE`) + RETURN properties(r) as edge_properties + LIMIT 1 + :result:{'keywords': '"culinary tradition, celebration"', 'weight': 9.0, 'description': '"Geese are commonly served at Christmas dinners, forming part of the holiday feast."', 'source_id': 'chunk-99b0ec7f7e006561352b5d65e849611d'} +2024-10-30 06:53:38,544 - lightrag - INFO - get_edge:query: + MATCH (start:`SCROOGE`)-[r]->(end:`THE MAIN STREET`) + RETURN properties(r) as edge_properties + LIMIT 1 + :result:{'keywords': '"social dynamics, personal struggle"', 'weight': 6.0, 'description': '"Scrooge\'s experiences on The Main Street during Christmas time reflect his discontent with the surrounding joy and celebrations."', 'source_id': 'chunk-90d5764e301321c087f5a8f78b73a145'} +2024-10-30 06:53:38,634 - lightrag - INFO - get_edge:query: + MATCH (start:`SCROOGE`)-[r]->(end:`VALENTINE`) + RETURN properties(r) as edge_properties + LIMIT 1 + :result:{'keywords': '"childhood, sentiment""family memories, nostalgia"', 'weight': 12.0, 'description': '"Scrooge\'s memory of Valentine and Orson illustrates the childhood connections that shape his sentiments during Christmas.""Scrooge\'s mention of Valentine signifies his memories of familial ties and childhood experiences during Christmas."', 'source_id': 'chunk-8590d9263cd2cd4fa583c432fc54e6c3'} +2024-10-30 06:53:38,725 - lightrag - INFO - get_edge:query: + MATCH (start:`SCROOGE`)-[r]->(end:`THE GHOST OF CHRISTMAS FUTURE`) + RETURN properties(r) as edge_properties + LIMIT 1 + :result:{'keywords': '"consequences, transformation"', 'weight': 8.0, 'description': '"The Ghost of Christmas Future reveals the dire consequences of Scrooge\'s current behavior, prompting a desire for change."', 'source_id': 'chunk-90b95db5c53e4364a6bee36b7aa4d70f'} +2024-10-30 06:53:38,817 - lightrag - INFO - get_edge:query: + MATCH (start:`SCROOGE`)-[r]->(end:`TWELFTH-NIGHT PARTY`) + RETURN properties(r) as edge_properties + LIMIT 1 + :result:{'keywords': '"celebration, contrast"', 'weight': 8.0, 'description': '"The Twelfth-Night Party serves as a representation of festive joy that contrasts with Scrooge\'s initial isolation."', 'source_id': 'chunk-e7637ff18c5ded77a68cce0a87883fad'} +2024-10-30 06:53:38,910 - lightrag - INFO - get_edge:query: + MATCH (start:`THE CRATCHIT FAMILY`)-[r]->(end:`THE DINNER`) + RETURN properties(r) as edge_properties + LIMIT 1 + :result:{'keywords': '"family unity, celebration"', 'weight': 20.0, 'description': '"The Cratchit Family comes together for The Dinner, showcasing their unity and holiday spirit, despite their modest means."', 'source_id': 'chunk-503f0bfa5453467c7c61d160a3540eca'} +2024-10-30 06:53:39,005 - lightrag - INFO - get_edge:query: + MATCH (start:`BOB CRATCHIT`)-[r]->(end:`THE COUNTING-HOUSE`) + RETURN properties(r) as edge_properties + LIMIT 1 + :result:{'keywords': '"employment, servitude"', 'weight': 6.0, 'description': '"Bob Cratchit works at The Counting-House, emphasizing his servitude and the dismal working conditions under Scrooge."', 'source_id': 'chunk-d9aac3484185ac66045df92214d245d5'} +2024-10-30 06:53:39,099 - lightrag - INFO - get_edge:query: + MATCH (start:`DEATH`)-[r]->(end:`THE BED`) + RETURN properties(r) as edge_properties + LIMIT 1 + :result:{'keywords': '"finality, mortality"', 'weight': 16.0, 'description': '"Death is inherently linked to The Bed as the resting place of the deceased, symbolizing the finality of life and the legacy left behind."', 'source_id': 'chunk-e1f29eeadc1d8ab46dc8a0bbd3c56b64'} +2024-10-30 06:53:39,195 - lightrag - INFO - get_edge:query: + MATCH (start:`CITY`)-[r]->(end:`SPIRIT`) + RETURN properties(r) as edge_properties + LIMIT 1 + :result:{'keywords': '"atmospheric change, reality"', 'weight': 12.0, 'description': '"The Spirit’s presence affects the atmosphere of the City, showcasing the stark realities of life and death surrounding Scrooge."', 'source_id': 'chunk-02baee20cc9463dbe08170a8e1043e32'} +2024-10-30 06:53:39,287 - lightrag - INFO - get_edge:query: + MATCH (start:`CHRISTMAS FEAST`)-[r]->(end:`CRATCHIT FAMILY`) + RETURN properties(r) as edge_properties + LIMIT 1 + :result:{'keywords': '"family gathering, significance"', 'weight': 9.0, 'description': '"The Christmas Feast is a pivotal event for the Cratchit Family where they express their feelings and celebrate together."', 'source_id': 'chunk-19d72c57ae3408758b18d2568e86dc6b'} +2024-10-30 06:53:39,383 - lightrag - INFO - get_edge:query: + MATCH (start:`CRATCHIT FAMILY`)-[r]->(end:`MARTHA`) + RETURN properties(r) as edge_properties + LIMIT 1 + :result:{'keywords': '"family interaction, celebration"', 'weight': 7.0, 'description': '"Martha contributes to the family dynamic during their Christmas gathering by sharing her experiences and adding to the festive atmosphere."', 'source_id': 'chunk-19d72c57ae3408758b18d2568e86dc6b'} +2024-10-30 06:53:39,485 - lightrag - INFO - get_edge:query: + MATCH (start:`SCROOGE`)-[r]->(end:`THE BUSINESSMEN`) + RETURN properties(r) as edge_properties + LIMIT 1 + :result:{'keywords': '"societal apathy, lack of empathy"', 'weight': 8.0, 'description': '"Scrooge’s death is discussed among the Businessmen, who show a lack of concern, exemplifying the indifference of society."', 'source_id': 'chunk-02baee20cc9463dbe08170a8e1043e32'} +2024-10-30 06:53:39,577 - lightrag - INFO - get_edge:query: + MATCH (start:`SCROOGE`)-[r]->(end:`THE GENTLEMAN`) + RETURN properties(r) as edge_properties + LIMIT 1 + :result:{'keywords': '"charity, conflict of values""charity, social responsibility"', 'weight': 16.0, 'description': '"Scrooge and The Gentleman have opposing views on charity and helping the poor during Christmas, showing a stark contrast in values.""Scrooge and the Gentleman engage in a discussion about the responsibilities to the poor, underlining Scrooge\'s disdain for charitable contributions."', 'source_id': 'chunk-90d5764e301321c087f5a8f78b73a145'} +2024-10-30 06:53:39,671 - lightrag - INFO - get_edge:query: + MATCH (start:`JACOB MARLEY`)-[r]->(end:`THE GHOST`) + RETURN properties(r) as edge_properties + LIMIT 1 + :result:{'keywords': '"spectral representation, message delivery""spiritual guidance, past connections"', 'weight': 18.0, 'description': '"Jacob Marley is embodied by The Ghost, which serves to relay messages about regret and the imperative of kindness to Scrooge.""The Ghost is the spectral form of Jacob Marley, representing his ongoing existence and his desire to communicate a warning to Scrooge."', 'source_id': 'chunk-1aa50206d02ed89418f65f97c6441d1cchunk-359187e7571bda4b0b08b2e0b6581e52'} +2024-10-30 06:53:39,764 - lightrag - INFO - get_edge:query: + MATCH (start:`MASTER SCROOGE`)-[r]->(end:`SCROOGE`) + RETURN properties(r) as edge_properties + LIMIT 1 + :result:{'keywords': '"nostalgia, identity"', 'weight': 9.0, 'description': '"The young Master Scrooge represents Scrooge\'s earlier aspirations and innocence, contrasting with his current self."', 'source_id': 'chunk-c6c248858d1b13ab7ee9ca13c1aeed6b'} +2024-10-30 06:53:39,859 - lightrag - INFO - get_edge:query: + MATCH (start:`MANSION`)-[r]->(end:`SCROOGE`) + RETURN properties(r) as edge_properties + LIMIT 1 + :result:{'keywords': '"symbolism, emotional state"', 'weight': 16.0, 'description': '"The Mansion symbolizes the neglect and decay that parallels Scrooge\'s own emotional state and memories of his past."', 'source_id': 'chunk-8590d9263cd2cd4fa583c432fc54e6c3'} +2024-10-30 06:53:39,955 - lightrag - INFO - get_edge:query: + MATCH (start:`CHRISTMAS`)-[r]->(end:`FRENCH PLUMS`) + RETURN properties(r) as edge_properties + LIMIT 1 + :result:{'keywords': '"seasonal offerings, festive foods"', 'weight': 6.0, 'description': '"French Plums are included in the festive offerings, creating a rich holiday atmosphere."', 'source_id': 'chunk-99b0ec7f7e006561352b5d65e849611d'} +2024-10-30 06:53:40,051 - lightrag - INFO - get_edge:query: + MATCH (start:`CHRISTMAS`)-[r]->(end:`FIGS`) + RETURN properties(r) as edge_properties + LIMIT 1 + :result:{'keywords': '"seasonal offerings, festive foods"', 'weight': 6.0, 'description': '"Figs are highlighted among the festive foods offered during Christmas, enhancing markets."', 'source_id': 'chunk-99b0ec7f7e006561352b5d65e849611d'} +2024-10-30 06:53:40,148 - lightrag - INFO - get_edge:query: + MATCH (start:`BOB CRATCHIT`)-[r]->(end:`SCROOGE`) + RETURN properties(r) as edge_properties + LIMIT 1 + :result:{'keywords': '"charity, employer-employee relationship""employer-employee dynamics, family values""employer-employee relationship, contrasting values""employment, generosity""employment, power dynamic""employment, social reflection""family dynamics, acknowledgment""generosity, relationship change""generosity, transformation""gratitude, redemption"', 'weight': 69.0, 'description': '"Bob Cratchit discusses Scrooge during Christmas, highlighting the tension between duty towards family and feelings about his employer.""Bob Cratchit tries to maintain a positive atmosphere during the Christmas feast despite the negative association with Scrooge.""Bob praises Scrooge as \'The Founder of the Feast\', showing appreciation despite Scrooge’s previous miserliness.""Scrooge decides to send a turkey to Bob Cratchit, indicating a newfound kindness towards him and his family.""Scrooge is Bob Cratchit\'s employer, and he reflects on the challenges Bob faces regarding family and food on Christmas Day.".""Scrooge is the employer of Bob Cratchit, demonstrating a power dynamic characterized by Scrooge\'s harsh treatment and Bob\'s subservient role.""Scrooge reprimands Bob for arriving late, but ultimately decides to raise his salary, signaling a significant change in their employer-employee relationship.""Scrooge expresses a form of goodwill towards Bob Cratchit by sending a prize turkey, indicating a shift in their relationship.""Scrooge is Bob Cratchit\'s employer, representing a stark divide between their characters, with Scrooge\'s miserly nature contrasting with Bob\'s kindness.""Scrooge\'s transformation leads him to raise Bob\'s salary and assist his struggling family, showing an improvement in their employer-employee relationship."', 'source_id': 'chunk-90b95db5c53e4364a6bee36b7aa4d70fchunk-b0f459f5af1c3a5e0b92cbe4ee48b77bchunk-d9aac3484185ac66045df92214d245d5chunk-19d72c57ae3408758b18d2568e86dc6bchunk-503f0bfa5453467c7c61d160a3540ecachunk-94bea83e7153fc2064aa382b494936a1'} +2024-10-30 06:53:40,245 - lightrag - INFO - get_edge:query: + MATCH (start:`BRIDGE`)-[r]->(end:`SCROOGE`) + RETURN properties(r) as edge_properties + LIMIT 1 + :result:{'keywords': '"memory, landmark"', 'weight': 14.0, 'description': '"The bridge serves as a significant landmark in Scrooge\'s past, reminding him of his childhood and former happiness."', 'source_id': 'chunk-bb21d58d36c6306fd8810ddd51c4a971'} +2024-10-30 06:53:40,335 - lightrag - INFO - get_edge:query: + MATCH (start:`SCROOGE`)-[r]->(end:`THE BEAUTIFUL YOUNG GIRL`) + RETURN properties(r) as edge_properties + LIMIT 1 + :result:{'keywords': '"nostalgia, lost love"', 'weight': 16.0, 'description': '"Scrooge reflects on his past relationship with the young girl, which holds significance in understanding his character\'s regrets."', 'source_id': 'chunk-54bdd22db1f84a965b5f4c06c9216d8d'} +2024-10-30 06:53:40,427 - lightrag - INFO - get_edge:query: + MATCH (start:`MRS. CRATCHIT`)-[r]->(end:`TINY TIM`) + RETURN properties(r) as edge_properties + LIMIT 1 + :result:{'keywords': '"maternal love, support"', 'weight': 9.0, 'description': '"Mrs. Cratchit shows concern for Tiny Tim\'s health and well-being, reflecting her role as a nurturing mother."', 'source_id': 'chunk-1d4b58de5429cd1261370c231c8673e8'} +2024-10-30 06:53:40,520 - lightrag - INFO - get_edge:query: + MATCH (start:`MARTHA`)-[r]->(end:`TINY TIM`) + RETURN properties(r) as edge_properties + LIMIT 1 + :result:{'keywords': '"family ties, support"', 'weight': 5.0, 'description': '"Martha\'s presence and conversation at the gathering impacts Tiny Tim\'s experience and highlights family connections during Christmas."', 'source_id': 'chunk-19d72c57ae3408758b18d2568e86dc6b'} +2024-10-30 06:53:40,613 - lightrag - INFO - get_edge:query: + MATCH (start:`BOB CRATCHIT`)-[r]->(end:`MRS. CRATCHIT`) + RETURN properties(r) as edge_properties + LIMIT 1 + :result:{'keywords': '"family unity, celebration""partnership, family bond""partnership, family unity""partnership, resilience"', 'weight': 32.0, 'description': '"Bob Cratchit and Mrs. Cratchit work together to provide for their family, showcasing partnership and resilience.""Bob and Mrs. Cratchit represent a family working together to create a festive and warm environment despite their limited means.""Mrs. Cratchit supports Bob Cratchit in his parenting efforts and encourages the family’s unity during challenging times.""Mrs. Cratchit supports Bob in caring for their family and exhibits her love for him and their children."', 'source_id': 'chunk-9e3921da66da5d761ab73cd849af6c43chunk-b0f459f5af1c3a5e0b92cbe4ee48b77bchunk-1d4b58de5429cd1261370c231c8673e8'} +2024-10-30 06:53:40,707 - lightrag - INFO - get_edge:query: + MATCH (start:`SCROOGE`)-[r]->(end:`THE BLANKETS`) + RETURN properties(r) as edge_properties + LIMIT 1 + :result:{'keywords': '"neglect, reflection"', 'weight': 8.0, 'description': '"Scrooge contemplates the significance of The Blankets, linking them to the neglected state of The Deceased in death."', 'source_id': 'chunk-e1f29eeadc1d8ab46dc8a0bbd3c56b64'} +2024-10-30 06:53:40,799 - lightrag - INFO - get_edge:query: + MATCH (start:`SCROOGE`)-[r]->(end:`TIM`) + RETURN properties(r) as edge_properties + LIMIT 1 + :result:{'keywords': '"familial connection, emotional depth"', 'weight': 16.0, 'description': '"Scrooge\'s connection to Tim emphasizes emotional depth, reflecting on family and lost connections as part of his character development."', 'source_id': 'chunk-89777b838d5447c7bd1ec11282c4ee89'} +2024-10-30 06:53:40,893 - lightrag - INFO - get_edge:query: + MATCH (start:`MARLEY`)-[r]->(end:`THE HEAVY CHAIN`) + RETURN properties(r) as edge_properties + LIMIT 1 + :result:{'keywords': '"burden, consequence"', 'weight': 18.0, 'description': '"The Heavy Chain is linked to Marley as it suggests the burdens he carries from his earthly life, which he now haunts Scrooge with."', 'source_id': 'chunk-9c43dac2fcd5b578242d907ea6f8fc7b'} +2024-10-30 06:53:40,993 - lightrag - INFO - get_edge:query: + MATCH (start:`MARLEY'S GHOST`)-[r]->(end:`SCROOGE`) + RETURN properties(r) as edge_properties + LIMIT 1 + :result:{'keywords': '"confrontation, supernatural experience""reflection, consequence""supernatural confrontation, regret""supernatural encounter, existential crisis""warning, fate"', 'weight': 43.0, 'description': '"Marley\'s Ghost warns Scrooge about the consequences of his actions and the visits of the three spirits, setting the stage for his transformation.""Scrooge is haunted by Marley\'s Ghost, which confronts him as a part of a supernatural occurrence meant to incite fear and reflection on his life choices.""Scrooge is confronted by Marley\'s Ghost, representing the struggle between his disbelief and the ghost\'s insistence on showing the consequences of Scrooge\'s life choices.""Scrooge is directly confronted by Marley\'s Ghost, leading to confusion and existential questioning on his part.""Scrooge reacts to Marley\'s Ghost, reflecting on his past as he is warned about the consequences of his actions."', 'source_id': 'chunk-c7b10789a9cb0af6c553730b29bd9034chunk-9c43dac2fcd5b578242d907ea6f8fc7bchunk-cb661c37436355ccec2769b1d0350c5fchunk-1aa50206d02ed89418f65f97c6441d1c'} +2024-10-30 06:53:41,085 - lightrag - INFO - get_edge:query: + MATCH (start:`BAD REPUTE`)-[r]->(end:`SCROOGE`) + RETURN properties(r) as edge_properties + LIMIT 1 + :result:{'keywords': '"self-reflection, moral awakening"', 'weight': 9.0, 'description': '"Scrooge\'s experience in areas of Bad Repute forces him to confront the realities of society and his own role within it."', 'source_id': 'chunk-f1a4fbcf1ed86864b9bfd5e8dba4c683'} +2024-10-30 06:53:41,180 - lightrag - INFO - get_edge:query: + MATCH (start:`SCROOGE`)-[r]->(end:`THE OFFICE`) + RETURN properties(r) as edge_properties + LIMIT 1 + :result:{'keywords': '"isolation, work ethic"', 'weight': 12.0, 'description': '"Scrooge\'s office reflects his solitary and business-driven life, showcasing his disconnection from familial and social ties."', 'source_id': 'chunk-da2472b4ef2a535b62908f14d0fb0ca9'} +2024-10-30 06:53:41,275 - lightrag - INFO - get_edge:query: + MATCH (start:`FAN`)-[r]->(end:`SCROOGE`) + RETURN properties(r) as edge_properties + LIMIT 1 + :result:{'keywords': '"family, joy lost""sibling bond, nostalgia"', 'weight': 28.0, 'description': '"Fan\'s loving relationship with her brother Scrooge reflects the lost potential for joy in his life due to his choices.""Fan\'s loving relationship with her brother Scrooge reflects the lost potential for joy in his life due to his choices.""Scrooge and Fan share a sibling bond, with Fan representing innocence and happiness from their childhood, which evokes fond memories for Scrooge.""Scrooge and Fan share a sibling bond, with Fan representing innocence and happiness from their childhood, which evokes fond memories for Scrooge."', 'source_id': 'chunk-c6c248858d1b13ab7ee9ca13c1aeed6bchunk-9e3921da66da5d761ab73cd849af6c43'} +2024-10-30 06:53:41,369 - lightrag - INFO - get_edge:query: + MATCH (start:`CAROLINE`)-[r]->(end:`HOPE`) + RETURN properties(r) as edge_properties + LIMIT 1 + :result:{'keywords': '"emotional resilience, motivation"', 'weight': 16.0, 'description': '"Hope influences Caroline\'s reactions and actions throughout the story, serving as both a motivator and a source of inner conflict."', 'source_id': 'chunk-83ac129dc9b56f84c46760d153d68e93'} +2024-10-30 06:53:41,467 - lightrag - INFO - get_edge:query: + MATCH (start:`MARTHA`)-[r]->(end:`THE COUNTESS`) + RETURN properties(r) as edge_properties + LIMIT 1 + :result:{'keywords': '"social contrast, aspirations"', 'weight': 4.0, 'description': '"Martha\'s encounter with The Countess reflects her aspirations and experiences outside her lower socio-economic status."', 'source_id': 'chunk-19d72c57ae3408758b18d2568e86dc6b'} +2024-10-30 06:53:41,559 - lightrag - INFO - get_edge:query: + MATCH (start:`THE CHILDREN`)-[r]->(end:`THE HOUSE`) + RETURN properties(r) as edge_properties + LIMIT 1 + :result:{'keywords': '"setting, celebration"', 'weight': 7.0, 'description': '"The House serves as the setting for the children\'s joyous activities and emotional expressions during the Christmas event."', 'source_id': 'chunk-da2472b4ef2a535b62908f14d0fb0ca9'} +2024-10-30 06:53:41,654 - lightrag - INFO - get_edge:query: + MATCH (start:`SCROOGE`)-[r]->(end:`THE COLD`) + RETURN properties(r) as edge_properties + LIMIT 1 + :result:{'keywords': '"metaphor, emotional state"', 'weight': 8.0, 'description': '"The Cold serves as a metaphor for Scrooge\'s emotional state, indicating his lack of warmth and compassion."', 'source_id': 'chunk-74e2466de2f67fd710ef2f20c0a8d9e0'} +2024-10-30 06:53:41,749 - lightrag - INFO - get_edge:query: + MATCH (start:`BOB CRATCHIT`)-[r]->(end:`THE CHRISTMAS DINNER`) + RETURN properties(r) as edge_properties + LIMIT 1 + :result:{'keywords': '"family, celebration"', 'weight': 16.0, 'description': '"The Christmas Dinner represents the Cratchit family\'s celebration, with Bob Cratchit at the center of this warm gathering."', 'source_id': 'chunk-90b95db5c53e4364a6bee36b7aa4d70f'} +2024-10-30 06:53:41,839 - lightrag - INFO - get_edge:query: + MATCH (start:`THE YOUNG CRATCHITS`)-[r]->(end:`TINY TIM`) + RETURN properties(r) as edge_properties + LIMIT 1 + :result:{'keywords': '"sibling bond, family dynamics"', 'weight': 16.0, 'description': '"The Young Cratchits enthusiastically engage with Tiny Tim during the celebrations, highlighting the loving dynamics of the Cratchit family."', 'source_id': 'chunk-7e2e7ebcc19a53b399dc03aded4743e7'} +2024-10-30 06:53:41,933 - lightrag - INFO - get_edge:query: + MATCH (start:`PORTLY GENTLEMEN`)-[r]->(end:`SCROOGE`) + RETURN properties(r) as edge_properties + LIMIT 1 + :result:{'keywords': '"charity rejection, conflict"', 'weight': 8.0, 'description': '"Scrooge dismisses the Portly Gentlemen\'s request for donations, rejecting their appeal for charity."', 'source_id': 'chunk-5dac41b3f9eeaf794f0147400b1718cd'} +2024-10-30 06:53:42,025 - lightrag - INFO - get_edge:query: + MATCH (start:`SCROOGE`)-[r]->(end:`THE SPIRIT`) + RETURN properties(r) as edge_properties + LIMIT 1 + :result:{'keywords': '"guidance, self-reflection""guidance, transformation""introspection, guidance""moral guidance, change""moral guidance, transformation""self-reflection, transformation""supernatural guidance, self-reflection""supernatural intervention, guidance"', 'weight': 93.0, 'description': '"Scrooge engages with the Spirit as it reveals memories that prompt significant self-reflection and consideration of change.""Scrooge is guided by the Spirit, who shows him different scenes related to the joy and struggles of Christmas, aiming to change his heart.""The Spirit challenges Scrooge\'s perspective on life, urging him to consider the implications of his actions in light of death.""The Spirit represents an upcoming change in Scrooge\'s life, aiming to guide him towards redemption.""The Spirit represents moral lessons and urges Scrooge to change his ways for a better future.""Scrooge\'s interaction with The Spirit serves as a pivotal moment for him to reflect on his past decisions and seek wisdom.""The Spirit guides Scrooge through his memories, facilitating his emotional journey and transformation.""The Spirit interacts with Scrooge, guiding him to confront his past and future, emphasizing change and moral growth.""The Spirit is guiding Scrooge through different scenes, aiming to transform his character and perspective on life.""The Spirit serves as the medium for Scrooge\'s journey of self-discovery and accountability."', 'source_id': 'chunk-da2472b4ef2a535b62908f14d0fb0ca9chunk-e1f29eeadc1d8ab46dc8a0bbd3c56b64chunk-91614df5cb74cbe5e109a338a82041e9chunk-91572b3cd42786ba4cb2f180ca25cbf4chunk-f1a4fbcf1ed86864b9bfd5e8dba4c683chunk-8590d9263cd2cd4fa583c432fc54e6c3chunk-b2f98bc7abb0c67d4c86055c7fd72218'} +2024-10-30 06:53:42,120 - lightrag - INFO - get_edge:query: + MATCH (start:`MARKET-TOWN`)-[r]->(end:`SCROOGE`) + RETURN properties(r) as edge_properties + LIMIT 1 + :result:{'keywords': '"memory, childhood""nostalgia, memory"', 'weight': 15.0, 'description': '"Scrooge encounters the market-town in his memories, triggering feelings of recognition and emotional reflection.""Scrooge recognizes the Market-Town, eliciting fond memories from his childhood and emphasizing his emotional response to the past."', 'source_id': 'chunk-bb21d58d36c6306fd8810ddd51c4a971'} +2024-10-30 06:53:42,213 - lightrag - INFO - get_edge:query: + MATCH (start:`BOB CRATCHIT`)-[r]->(end:`EBENEZER SCROOGE`) + RETURN properties(r) as edge_properties + LIMIT 1 + :result:{'keywords': '"employment, power dynamics""workplace dynamics, social contrast"', 'weight': 13.0, 'description': '"Bob Cratchit works for Ebenezer Scrooge, embodying the struggles of the working class in contrast to Scrooge\'s miserliness.""Ebenezer Scrooge is Bob Cratchit\'s employer, representing a dynamic of power and struggle in their relationship."', 'source_id': 'chunk-9e3921da66da5d761ab73cd849af6c43'} +2024-10-30 06:53:42,308 - lightrag - INFO - get_edge:query: + MATCH (start:`CAMDEN TOWN`)-[r]->(end:`SCROOGE`) + RETURN properties(r) as edge_properties + LIMIT 1 + :result:{'keywords': '"logistics, festive preparation"', 'weight': 5.0, 'description': '"Scrooge mentions Camden Town in relation to the impracticality of delivering a large turkey there."', 'source_id': 'chunk-8f738cb25d60a7dab782162d9d0a25ed'} +2024-10-30 06:53:42,406 - lightrag - INFO - get_edge:query: + MATCH (start:`CHILD`)-[r]->(end:`SCROOGE`) + RETURN properties(r) as edge_properties + LIMIT 1 + :result:{'keywords': '"self-reflection, past connection"', 'weight': 16.0, 'description': '"Scrooge sees his younger self in the solitary child, sparking deep emotional reflections about his past and choices."', 'source_id': 'chunk-8590d9263cd2cd4fa583c432fc54e6c3'} +2024-10-30 06:53:42,501 - lightrag - INFO - get_edge:query: + MATCH (start:`BOB CRATCHIT`)-[r]->(end:`MARTHA`) + RETURN properties(r) as edge_properties + LIMIT 1 + :result:{'keywords': '"family reunion, surprise"', 'weight': 16.0, 'description': '"Martha surprises Bob Cratchit by coming home late for Christmas dinner, showing the family\'s love and warmth in reunions."', 'source_id': 'chunk-7e2e7ebcc19a53b399dc03aded4743e7'} +2024-10-30 06:53:42,596 - lightrag - INFO - get_edge:query: + MATCH (start:`SCROOGE`)-[r]->(end:`THE GHOST OF CHRISTMAS YET TO COME`) + RETURN properties(r) as edge_properties + LIMIT 1 + :result:{'keywords': '"consequence, introspection""consequences, change""consequences, fear""guidance, self-confrontation"', 'weight': 39.0, 'description': '"The Ghost guides Scrooge to confront his potential future that threatens his existence.""The Ghost is critical in revealing the consequences of Scrooge\'s life choices, pushing for change.""The Ghost of Christmas Yet to Come presents Scrooge with a vision of his possible future, instilling fear and prompting change.""The Ghost of Christmas Yet to Come shows Scrooge the consequences of his life choices, prompting introspection and desire for change."', 'source_id': 'chunk-91572b3cd42786ba4cb2f180ca25cbf4chunk-90b95db5c53e4364a6bee36b7aa4d70f'} +2024-10-30 06:53:42,688 - lightrag - INFO - get_edge:query: + MATCH (start:`SCROOGE`)-[r]->(end:`THE PHANTOM`) + RETURN properties(r) as edge_properties + LIMIT 1 + :result:{'keywords': '"guidance, reflection""guidance, self-reflection"', 'weight': 17.0, 'description': '"Scrooge interacts with the Phantom, which guides him through reflections on his life and future, emphasizing his journey of change.""The Phantom interacts with Scrooge, pointing him towards the importance of reflections on mortality and social connections."', 'source_id': 'chunk-f1a4fbcf1ed86864b9bfd5e8dba4c683'} +2024-10-30 06:53:42,780 - lightrag - INFO - get_edge:query: + MATCH (start:`SPIRIT`)-[r]->(end:`WANT`) + RETURN properties(r) as edge_properties + LIMIT 1 + :result:{'keywords': '"social issues, need for compassion""social warning, deprivation"', 'weight': 30.0, 'description': '"The Spirit points out Want, symbolizing the dire consequences of neglecting societal needs.""The Spirit points out Want, symbolizing the dire consequences of neglecting societal needs.""The Spirit presents Want along with Ignorance, symbolizing the plight of the less fortunate and appealing for compassion.""The Spirit presents Want along with Ignorance, symbolizing the plight of the less fortunate and appealing for compassion."', 'source_id': 'chunk-02baee20cc9463dbe08170a8e1043e32chunk-e7637ff18c5ded77a68cce0a87883fad'} +2024-10-30 06:53:42,874 - lightrag - INFO - get_edge:query: + MATCH (start:`CHRISTMAS`)-[r]->(end:`PEOPLE`) + RETURN properties(r) as edge_properties + LIMIT 1 + :result:{'keywords': '"community celebration, joy"', 'weight': 18.0, 'description': '"The People are actively engaged in the celebration of Christmas, demonstrating joy and festivity despite the harsh weather conditions."', 'source_id': 'chunk-99b0ec7f7e006561352b5d65e849611d'} +2024-10-30 06:53:42,971 - lightrag - INFO - get_edge:query: + MATCH (start:`FRIDAY`)-[r]->(end:`SCROOGE`) + RETURN properties(r) as edge_properties + LIMIT 1 + :result:{'keywords': '"storytelling, childhood memories"', 'weight': 5.0, 'description': '"Scrooge\'s mention of Friday signifies his recollection of childhood stories and influences during Christmas time."', 'source_id': 'chunk-8590d9263cd2cd4fa583c432fc54e6c3'} +2024-10-30 06:53:43,065 - lightrag - INFO - get_edge:query: + MATCH (start:`MARLEY`)-[r]->(end:`THE GHOST`) + RETURN properties(r) as edge_properties + LIMIT 1 + :result:{'keywords': '"haunting, past choices"', 'weight': 18.0, 'description': '"Marley is the embodiment of The Ghost that appears to Scrooge, representing past choices and the consequences of his actions."', 'source_id': 'chunk-9c43dac2fcd5b578242d907ea6f8fc7b'} +2024-10-30 06:53:43,157 - lightrag - INFO - get_edge:query: + MATCH (start:`BOB CRATCHIT`)-[r]->(end:`THE COUNTING-HOUSE CLERK`) + RETURN properties(r) as edge_properties + LIMIT 1 + :result:{'keywords': '"workforce dynamics, character contrast"', 'weight': 12.0, 'description': '"Bob Cratchit and The Counting-House Clerk represent the working class under Scrooge\'s employment, showcasing different character traits in the context of their work."', 'source_id': 'chunk-d9aac3484185ac66045df92214d245d5'} +2024-10-30 06:53:43,252 - lightrag - INFO - get_edge:query: + MATCH (start:`FROST`)-[r]->(end:`SCROOGE`) + RETURN properties(r) as edge_properties + LIMIT 1 + :result:{'keywords': '"atmospheric condition, characterization"', 'weight': 8.0, 'description': '"Frost enhances the chilling atmosphere around Scrooge\'s life and mindset, reflecting his cold character."', 'source_id': 'chunk-d9aac3484185ac66045df92214d245d5'} +2024-10-30 06:53:43,348 - lightrag - INFO - get_edge:query: + MATCH (start:`SCROOGE`)-[r]->(end:`THE FOUNDER OF THE FEAST`) + RETURN properties(r) as edge_properties + LIMIT 1 + :result:{'keywords': '"gratitude, recognition"', 'weight': 16.0, 'description': '"Scrooge\'s contribution as The Founder of the Feast is acknowledged by Bob, highlighting the connection between Scrooge and the Cratchit family\'s Christmas dinner."', 'source_id': 'chunk-503f0bfa5453467c7c61d160a3540eca'} +2024-10-30 06:53:43,443 - lightrag - INFO - get_edge:query: + MATCH (start:`SCROOGE`)-[r]->(end:`THE MEMORY`) + RETURN properties(r) as edge_properties + LIMIT 1 + :result:{'keywords': '"reflection, impact of past"', 'weight': 16.0, 'description': '"Scrooge\'s memories play a crucial role in shaping his perspective on love and happiness as he confronts his past."', 'source_id': 'chunk-54bdd22db1f84a965b5f4c06c9216d8d'} +2024-10-30 06:53:43,533 - lightrag - INFO - get_edge:query: + MATCH (start:`CHRISTMAS`)-[r]->(end:`TURKEYS`) + RETURN properties(r) as edge_properties + LIMIT 1 + :result:{'keywords': '"culinary tradition, celebration"', 'weight': 9.0, 'description': '"Turkeys are a traditional dish served during Christmas, contributing to the celebratory meal."', 'source_id': 'chunk-99b0ec7f7e006561352b5d65e849611d'} +2024-10-30 06:53:43,625 - lightrag - INFO - get_edge:query: + MATCH (start:`SCROOGE`)-[r]->(end:`THE MOURNING DRESS`) + RETURN properties(r) as edge_properties + LIMIT 1 + :result:{'keywords': '"loss, emotional distance"', 'weight': 16.0, 'description': '"The Mourning Dress symbolizes Scrooge\'s unfulfilled relationships and the emotional consequences of his choices."', 'source_id': 'chunk-b2f98bc7abb0c67d4c86055c7fd72218'} +2024-10-30 06:53:43,718 - lightrag - INFO - get_edge:query: + MATCH (start:`BOB CRATCHIT`)-[r]->(end:`MR. SCROOGE'S NEPHEW`) + RETURN properties(r) as edge_properties + LIMIT 1 + :result:{'keywords': '"kindness, community support""kindness, support"', 'weight': 14.0, 'description': '"Bob Cratchit shares a positive interaction with Mr. Scrooge\'s Nephew, who expresses kindness and concern for his family.""Mr. Scrooge\'s Nephew expresses sympathy and kindness towards Bob, reinforcing community and support."', 'source_id': 'chunk-1d4b58de5429cd1261370c231c8673e8'} +2024-10-30 06:53:43,813 - lightrag - INFO - get_edge:query: + MATCH (start:`MR. FEZZIWIG`)-[r]->(end:`SCROOGE`) + RETURN properties(r) as edge_properties + LIMIT 1 + :result:{'keywords': '"kindness, influence"', 'weight': 16.0, 'description': '"Mr. Fezziwig\'s kindness towards employees influences Scrooge\'s eventual change in attitude toward generosity and business."', 'source_id': 'chunk-9e3921da66da5d761ab73cd849af6c43'} +2024-10-30 06:53:43,912 - lightrag - INFO - get_edge:query: + MATCH (start:`SCROOGE`)-[r]->(end:`SMOKING BISHOP`) + RETURN properties(r) as edge_properties + LIMIT 1 + :result:{'keywords': '"celebration, warmth"', 'weight': 18.0, 'description': '"Scrooge and Bob\'s plans to enjoy Smoking Bishop together symbolize the welcoming of joy and warmth during the Christmas season."', 'source_id': 'chunk-94bea83e7153fc2064aa382b494936a1'} +2024-10-30 06:53:44,008 - lightrag - INFO - get_edge:query: + MATCH (start:`HOSPITAL`)-[r]->(end:`SPIRIT`) + RETURN properties(r) as edge_properties + LIMIT 1 + :result:{'keywords': '"care, compassion"', 'weight': 8.0, 'description': '"The Spirit uses the Hospital to demonstrate humanity\'s capacity for care and its responsibility towards the sick and needy."', 'source_id': 'chunk-e7637ff18c5ded77a68cce0a87883fad'} +2024-10-30 06:53:44,102 - lightrag - INFO - get_edge:query: + MATCH (start:`THE GHOST`)-[r]->(end:`THE SPIRIT`) + RETURN properties(r) as edge_properties + LIMIT 1 + :result:{'keywords': '"supernatural influence, guidance"', 'weight': 8.0, 'description': '"The Ghost acts as a precursor to The Spirit, both influencing Scrooge\'s journey of enlightenment and redemption."', 'source_id': 'chunk-da2472b4ef2a535b62908f14d0fb0ca9'} +2024-10-30 06:53:44,198 - lightrag - INFO - get_edge:query: + MATCH (start:`SCROOGE`)-[r]->(end:`THE COUNTING-HOUSE`) + RETURN properties(r) as edge_properties + LIMIT 1 + :result:{'keywords': '"work environment, character development""work environment, emotional landscape""work environment, personality reflection"', 'weight': 20.0, 'description': '"Scrooge\'s work environment reflects his personality, being cold and uninviting, mirroring his discontent with life.""The Counting-House is where Scrooge works, illustrating the environment that shapes his bleak personality.""The Counting-House represents Scrooge\'s work environment, which is devoid of warmth, paralleling Scrooge\'s cold demeanor."', 'source_id': 'chunk-d9aac3484185ac66045df92214d245d5chunk-74e2466de2f67fd710ef2f20c0a8d9e0'} +2024-10-30 06:53:44,292 - lightrag - INFO - get_edge:query: + MATCH (start:`DARKNESS`)-[r]->(end:`SCROOGE`) + RETURN properties(r) as edge_properties + LIMIT 1 + :result:{'keywords': '"themes, isolation"', 'weight': 9.0, 'description': '"Darkness symbolizes Scrooge\'s internal feelings of isolation and regret, presenting the overall mood of his journey towards potential redemption."', 'source_id': 'chunk-9c43dac2fcd5b578242d907ea6f8fc7b'} +2024-10-30 06:53:44,386 - lightrag - INFO - get_edge:query: + MATCH (start:`CHRISTMAS`)-[r]->(end:`SCROOGE`) + RETURN properties(r) as edge_properties + LIMIT 1 + :result:{'keywords': '"character development, festive spirit""conflict, holiday spirit""contrast, seasonal significance""disconnection, festive spirit""holiday significance, reflection""holiday significance, transformation""holiday spirit, social critique""nostalgia, reflection""reflection, redemption""rejection, festive spirit""renewal, change""seasonal significance, emotional reflection""transformation, disdain""transformation, festive spirit""transformation, holiday significance""transformation, holiday spirit"', 'weight': 169.0, 'description': '"Christmas becomes a focal point for Scrooge\'s promise to change and embrace life, symbolizing hope and renewal.""Christmas is a central theme that invokes Scrooge\'s memories of his past, his feelings of loneliness, and his desire to connect.""Christmas serves as a focal point for Scrooge\'s emotional reflections on joy and his disconnect from societal celebrations.""Christmas serves as the catalyst for Scrooge\'s transformation, highlighting themes of giving and compassion.""Scrooge expresses disdain for Christmas, viewing it as a burden rather than a celebration.""Scrooge\'s attitude towards Christmas highlights his disconnection from the festive spirit and charity associated with the holiday.""Scrooge\'s character contrasts sharply with the joy of Christmas, highlighting his disdain for the festive season.""Scrooge\'s experience during the Christmas event highlights the transformation of his character and the spirit of the holiday.""Scrooge\'s journey with the Spirit ultimately leads him to reflect on the meaning of Christmas and its impact on human connections.""Scrooge\'s transformation and newfound joy are directly linked to the spirit of Christmas.""Scrooge\'s transformation is centered around the spirit of Christmas, which he learns to embrace and celebrate.""Scrooge\'s views on Christmas evolve as he witnesses the joy and familial love associated with the holiday, marking a shift in his character.""Scrooge reflects on Christmas with a mix of emotions, highlighting its importance in his life and character arc.""Scrooge\'s attitude towards Christmas is one of disdain, setting the stage for his eventual transformation as he confronts the meaning of the holiday.""Scrooge\'s involvement in the Christmas activities represents a significant moment of change in his character, as he becomes more engaged and merry.""Scrooge\'s refusal to celebrate Christmas reflects his overall attitude towards generosity and societal obligations during this festive time.""Scrooge\'s rejection of Christmas embodies his overall discord with the spirit of the holiday, viewing it as a time of financial burden instead of joy.""Scrooge\'s transformation is closely linked to the celebration of Christmas, highlighting themes of giving and joy.""Scrooge\'s transformation is closely tied to the spirit of Christmas, marking a significant personal change during this event."', 'source_id': 'chunk-43c9bee23adfa77aa9dedd22401bba7dchunk-74e2466de2f67fd710ef2f20c0a8d9e0chunk-89777b838d5447c7bd1ec11282c4ee89chunk-e7637ff18c5ded77a68cce0a87883fadchunk-da2472b4ef2a535b62908f14d0fb0ca9chunk-90d5764e301321c087f5a8f78b73a145chunk-91614df5cb74cbe5e109a338a82041e9chunk-91572b3cd42786ba4cb2f180ca25cbf4chunk-8f738cb25d60a7dab782162d9d0a25edchunk-94bea83e7153fc2064aa382b494936a1chunk-54bdd22db1f84a965b5f4c06c9216d8dchunk-8590d9263cd2cd4fa583c432fc54e6c3chunk-99b0ec7f7e006561352b5d65e849611d'} +2024-10-30 06:53:44,483 - lightrag - INFO - get_edge:query: + MATCH (start:`DEATH`)-[r]->(end:`THE FUTURE`) + RETURN properties(r) as edge_properties + LIMIT 1 + :result:{'keywords': '"consequences of choices, reflection"', 'weight': 7.0, 'description': '"The concept of The Future is intricately linked to discussions about Death, pondering the consequences of life\'s choices."', 'source_id': 'chunk-02baee20cc9463dbe08170a8e1043e32'} +2024-10-30 06:53:44,575 - lightrag - INFO - get_edge:query: + MATCH (start:`SCROOGE`)-[r]->(end:`THE FOG AND FROST`) + RETURN properties(r) as edge_properties + LIMIT 1 + :result:{'keywords': '"atmosphere, emotional coldness"', 'weight': 14.0, 'description': '"The Fog and Frost enveloping Scrooge\'s home reflect the chilling atmosphere of his life and his emotional coldness."', 'source_id': 'chunk-d9aac3484185ac66045df92214d245d5'} +2024-10-30 06:53:44,669 - lightrag - INFO - get_edge:query: + MATCH (start:`SCROOGE`)-[r]->(end:`THE WINE-MERCHANT'S CELLAR`) + RETURN properties(r) as edge_properties + LIMIT 1 + :result:{'keywords': '"atmosphere, haunting"', 'weight': 16.0, 'description': '"Scrooge hears the dragging chains from The Wine-Merchant\'s Cellar, indicating that the haunting presence is felt throughout The House."', 'source_id': 'chunk-9c43dac2fcd5b578242d907ea6f8fc7b'} +2024-10-30 06:53:44,760 - lightrag - INFO - get_edge:query: + MATCH (start:`SCROOGE`)-[r]->(end:`THE CITY`) + RETURN properties(r) as edge_properties + LIMIT 1 + :result:{'keywords': '"disconnection, personal evolution""reflection, urban life""transformation, community""urban setting, contrast"', 'weight': 26.0, 'description': '"Scrooge\'s reflections in the City highlight his relationship with his past and the contrast of his current life.""Scrooge\'s relationship with The City is marked by detachment, representing his lost connection to his past self and experiences.""Scrooge\'s transformation impacts The City as he learns to embrace Christmas spirit and generosity within his community.""The City serves as a backdrop for Scrooge\'s memories, contrasting the vibrant life he once had with his current isolation."', 'source_id': 'chunk-c6c248858d1b13ab7ee9ca13c1aeed6bchunk-94bea83e7153fc2064aa382b494936a1chunk-bb21d58d36c6306fd8810ddd51c4a971'} +2024-10-30 06:53:44,851 - lightrag - INFO - get_edge:query: + MATCH (start:`SCROOGE`)-[r]->(end:`THE PRIME OF LIFE`) + RETURN properties(r) as edge_properties + LIMIT 1 + :result:{'keywords': '"reflection, life choices"', 'weight': 18.0, 'description': '"Scrooge reflects on his Prime of Life, contrasting it with his current state and the sacrifices he has made for wealth."', 'source_id': 'chunk-b2f98bc7abb0c67d4c86055c7fd72218'} +2024-10-30 06:53:44,942 - lightrag - INFO - get_edge:query: + MATCH (start:`SCROOGE`)-[r]->(end:`THE PAST`) + RETURN properties(r) as edge_properties + LIMIT 1 + :result:{'keywords': '"self-reflection, choices"', 'weight': 9.0, 'description': '"Scrooge must acknowledge The Past to understand his current situation and guide his choices for the future."', 'source_id': 'chunk-91572b3cd42786ba4cb2f180ca25cbf4'} +2024-10-30 06:53:45,036 - lightrag - INFO - get_edge:query: + MATCH (start:`SCROOGE`)-[r]->(end:`THE REGISTER`) + RETURN properties(r) as edge_properties + LIMIT 1 + :result:{'keywords': '"responsibility, mourning"', 'weight': 8.0, 'description': '"Scrooge\'s connection to The Register reinforces his involvement in Marley\'s death and the responsibilities that follow."', 'source_id': 'chunk-89777b838d5447c7bd1ec11282c4ee89'} +2024-10-30 06:53:45,128 - lightrag - INFO - get_edge:query: + MATCH (start:`BOB CRATCHIT`)-[r]->(end:`MARTHA CRATCHIT`) + RETURN properties(r) as edge_properties + LIMIT 1 + :result:{'keywords': '"family bond, affection""family, love"', 'weight': 14.0, 'description': '"Bob shows pride and love for his daughter Martha, highlighting the close ties within the Cratchit family.""Martha shows affection for Bob Cratchit upon her arrival, indicating a warm father-daughter relationship within the family."', 'source_id': 'chunk-7e2e7ebcc19a53b399dc03aded4743e7chunk-9e3921da66da5d761ab73cd849af6c43'} +2024-10-30 06:53:45,222 - lightrag - INFO - get_edge:query: + MATCH (start:`MARTHA`)-[r]->(end:`THE LORD`) + RETURN properties(r) as edge_properties + LIMIT 1 + :result:{'keywords': '"social status, contrast"', 'weight': 4.0, 'description': '"Martha\'s reference to The Lord indicates her exposure to higher social circles, which contrasts her family\'s financial struggles."', 'source_id': 'chunk-19d72c57ae3408758b18d2568e86dc6b'} +2024-10-30 06:53:45,317 - lightrag - INFO - get_edge:query: + MATCH (start:`SCROOGE`)-[r]->(end:`THE PARROT`) + RETURN properties(r) as edge_properties + LIMIT 1 + :result:{'keywords': '"nostalgia, whimsy"', 'weight': 12.0, 'description': '"Scrooge recalls the Parrot associated with his memories of Robin Crusoe, highlighting the whimsical and nostalgic aspects of his reflections."', 'source_id': 'chunk-8590d9263cd2cd4fa583c432fc54e6c3'} +2024-10-30 06:53:45,412 - lightrag - INFO - get_edge:query: + MATCH (start:`CRATCHIT FAMILY`)-[r]->(end:`TINY TIM`) + RETURN properties(r) as edge_properties + LIMIT 1 + :result:{'keywords': '"family bond, celebration""family ties, innocence""hope, joy"', 'weight': 25.0, 'description': '"Tiny Tim\'s presence in the Cratchit family adds to their joy and highlights the family\'s spirit of togetherness during Christmas.""Tiny Tim, as part of the Cratchit Family, represents the innocence and vulnerability of the family, affecting their dynamics during Christmas.""Tiny Tim, despite his condition, brings joy to the Cratchit Family and fosters a sense of hope and love during their Christmas celebration."', 'source_id': 'chunk-19d72c57ae3408758b18d2568e86dc6bchunk-7e2e7ebcc19a53b399dc03aded4743e7'} +2024-10-30 06:53:45,506 - lightrag - INFO - get_edge:query: + MATCH (start:`MANSION`)-[r]->(end:`THE GHOST`) + RETURN properties(r) as edge_properties + LIMIT 1 + :result:{'keywords': '"guidance, contrast"', 'weight': 18.0, 'description': '"The Ghost guides Scrooge through the Mansion, illustrating the contrast between past warmth and present decay."', 'source_id': 'chunk-8590d9263cd2cd4fa583c432fc54e6c3'} +2024-10-30 06:53:45,594 - lightrag - INFO - get_edge:query: + MATCH (start:`CHRISTMAS DAY`)-[r]->(end:`CRATCHIT FAMILY`) + RETURN properties(r) as edge_properties + LIMIT 1 + :result:{'keywords': '"celebration, tradition""celebration, unity""family gathering, holiday celebration"', 'weight': 29.0, 'description': '"The Cratchit Family comes together to celebrate Christmas Day, a crucial moment that reflects their unity and joy despite challenges.""The Cratchit Family gathers to celebrate Christmas Day, reflecting their togetherness and joy despite their hardships.""The Cratchit Family\'s celebration on Christmas Day emphasizes their unity and joy in sharing the holiday together."', 'source_id': 'chunk-19d72c57ae3408758b18d2568e86dc6bchunk-7e2e7ebcc19a53b399dc03aded4743e7'} +2024-10-30 06:53:45,684 - lightrag - INFO - get_edge:query: + MATCH (start:`SCROOGE`)-[r]->(end:`THE SCHOOLMASTER`) + RETURN properties(r) as edge_properties + LIMIT 1 + :result:{'keywords': '"authority, discipline"', 'weight': 6.0, 'description': '"The Schoolmaster represents authority and discipline in Scrooge\'s early life, influencing his development."', 'source_id': 'chunk-c6c248858d1b13ab7ee9ca13c1aeed6b'} +2024-10-30 06:53:45,779 - lightrag - INFO - get_edge:query: + MATCH (start:`THE HUSBAND`)-[r]->(end:`THE MOTHER`) + RETURN properties(r) as edge_properties + LIMIT 1 + :result:{'keywords': '"marital dynamics, emotional strain"', 'weight': 16.0, 'description': '"The Mother expresses anxiety and eagerness as she interacts with her husband, showcasing the emotional strain caused by uncertainty."', 'source_id': 'chunk-83ac129dc9b56f84c46760d153d68e93'} +2024-10-30 06:53:45,875 - lightrag - INFO - get_edge:query: + MATCH (start:`SCROOGE`)-[r]->(end:`WANT`) + RETURN properties(r) as edge_properties + LIMIT 1 + :result:{'keywords': '"social critique, consequences"', 'weight': 9.0, 'description': '"Scrooge is shown the consequences of Want, reflecting on the impacts of desire and neglect in society."', 'source_id': 'chunk-02baee20cc9463dbe08170a8e1043e32'} +2024-10-30 06:53:45,969 - lightrag - INFO - get_edge:query: + MATCH (start:`EBENEZER SCROOGE`)-[r]->(end:`THE CLOCK`) + RETURN properties(r) as edge_properties + LIMIT 1 + :result:{'keywords': '"temporal confusion, malfunction"', 'weight': 7.0, 'description': '"Scrooge\'s confusion about time is exacerbated by The Clock\'s malfunction, heightening his sense of disorientation."', 'source_id': 'chunk-c7b10789a9cb0af6c553730b29bd9034'} +2024-10-30 06:53:46,061 - lightrag - INFO - get_edge:query: + MATCH (start:`SCROOGE`)-[r]->(end:`TOPPER`) + RETURN properties(r) as edge_properties + LIMIT 1 + :result:{'keywords': '"celebration, friendship""observation, merriment""playfulness, interaction"', 'weight': 20.0, 'description': '"Scrooge and Topper participate in the games, showcasing the playful atmosphere of the Christmas gathering and hinting at Scrooge\'s changing attitude.""Scrooge observes Topper\'s antics and expressions of joy during the games, revealing a reflection on human nature and merriment.""Topper\'s presence at the Christmas gathering highlights the festive spirit and camaraderie among friends and family during the celebration."', 'source_id': 'chunk-43c9bee23adfa77aa9dedd22401bba7dchunk-94bea83e7153fc2064aa382b494936a1'} +2024-10-30 06:53:46,153 - lightrag - INFO - get_edge:query: + MATCH (start:`SCROOGE`)-[r]->(end:`THE KNOCKER`) + RETURN properties(r) as edge_properties + LIMIT 1 + :result:{'keywords': '"appreciation, transformation""haunting, symbol of guilt""symbolism, transformation"', 'weight': 24.0, 'description': '"Scrooge admires the knocker at his door, marking a positive change in his attitude towards life and surroundings.""The Knocker, transforming into Marley\'s face, symbolizes Scrooge\'s ghostly past and impending redemption challenges.""Scrooge perceives Marley\'s face in the knocker, symbolizing his own guilt and the haunting nature of his past choices."', 'source_id': 'chunk-d9aac3484185ac66045df92214d245d5chunk-8f738cb25d60a7dab782162d9d0a25ed'} +2024-10-30 06:53:46,246 - lightrag - INFO - get_edge:query: + MATCH (start:`CHRISTMAS-TIME`)-[r]->(end:`SCROOGE`) + RETURN properties(r) as edge_properties + LIMIT 1 + :result:{'keywords': '"cynicism, holiday spirit conflict""redemption, celebration"', 'weight': 19.0, 'description': '"Scrooge views Christmas-time as a burden rather than a celebration, contrasting with the feelings of others around him.""Scrooge\'s experiences during Christmas-time reflect his internal struggles and the possibility of redemption and joy."', 'source_id': 'chunk-5dac41b3f9eeaf794f0147400b1718cdchunk-c6c248858d1b13ab7ee9ca13c1aeed6b'} +2024-10-30 06:53:46,347 - lightrag - INFO - get_edge:query: + MATCH (start:`BOB CRATCHIT`)-[r]->(end:`PETER`) + RETURN properties(r) as edge_properties + LIMIT 1 + :result:{'keywords': '"family discussions, support""family support, concern"', 'weight': 12.0, 'description': '"Peter interacts with Bob Cratchit, showing the dynamics of a supportive family unit while discussing aspirations.""Peter shows concern for Bob, participating actively in family discussions and support."', 'source_id': 'chunk-1d4b58de5429cd1261370c231c8673e8'} +2024-10-30 06:53:46,500 - lightrag - INFO - get_edge:query: + MATCH (start:`MARLEY'S GHOST`)-[r]->(end:`THE CHAIN`) + RETURN properties(r) as edge_properties + LIMIT 1 + :result:{'keywords': '"regret, warning"', 'weight': 18.0, 'description': '"Marley\'s Ghost is bound by The Chain, which symbolizes his regrets and serves as a warning to Scrooge about the consequences of his own actions."', 'source_id': 'chunk-cb661c37436355ccec2769b1d0350c5f'} +2024-10-30 06:53:46,597 - lightrag - INFO - get_edge:query: + MATCH (start:`BELINDA CRATCHIT`)-[r]->(end:`CRATCHIT FAMILY`) + RETURN properties(r) as edge_properties + LIMIT 1 + :result:{'keywords': '"family participation, tradition"', 'weight': 8.0, 'description': '"Belinda Cratchit\'s role in sweetening the apple sauce shows her active involvement in family traditions during Christmas."', 'source_id': 'chunk-7e2e7ebcc19a53b399dc03aded4743e7'} +2024-10-30 06:53:46,692 - lightrag - INFO - get_edge:query: + MATCH (start:`RED-FACED GENTLEMAN`)-[r]->(end:`SCROOGE`) + RETURN properties(r) as edge_properties + LIMIT 1 + :result:{'keywords': '"humor, communal context"', 'weight': 12.0, 'description': '"Scrooge observes the conversation of the Red-faced Gentleman, which offers humorous insights into communal attitudes toward death."', 'source_id': 'chunk-f1a4fbcf1ed86864b9bfd5e8dba4c683'} +2024-10-30 06:53:46,782 - lightrag - INFO - get_edge:query: + MATCH (start:`SCROOGE`)-[r]->(end:`THE SITTING ROOM`) + RETURN properties(r) as edge_properties + LIMIT 1 + :result:{'keywords': '"reflection, transformation"', 'weight': 8.0, 'description': '"The Sitting Room is where Scrooge reflects on his past and contemplates his future, crucial to his transformation."', 'source_id': 'chunk-90b95db5c53e4364a6bee36b7aa4d70f'} +2024-10-30 06:53:46,883 - lightrag - INFO - get_edge:query: + MATCH (start:`CHRISTMAS`)-[r]->(end:`THE LAMPLIGHTER`) + RETURN properties(r) as edge_properties + LIMIT 1 + :result:{'keywords': '"symbolism, holiday spirit"', 'weight': 7.0, 'description': '"The Lamplighter\'s actions of spreading light symbolize the joy and warmth associated with Christmas."', 'source_id': 'chunk-91614df5cb74cbe5e109a338a82041e9'} +2024-10-30 06:53:46,981 - lightrag - INFO - get_edge:query: + MATCH (start:`SCROOGE`)-[r]->(end:`THE DECEASED MAN`) + RETURN properties(r) as edge_properties + LIMIT 1 + :result:{'keywords': '"moral reflection, consequence"', 'weight': 18.0, 'description': '"Scrooge reflects on the life and death of The Deceased Man, prompting introspection about his own life choices."', 'source_id': 'chunk-e1f29eeadc1d8ab46dc8a0bbd3c56b64'} +2024-10-30 06:53:47,082 - lightrag - INFO - get_edge:query: + MATCH (start:`SCROOGE`)-[r]->(end:`THE CASK`) + RETURN properties(r) as edge_properties + LIMIT 1 + :result:{'keywords': '"fear, tension"', 'weight': 8.0, 'description': '"The Cask is associated with the sounds of chains during the haunting, heightening Scrooge\'s fear and trepidation about the ghostly visit."', 'source_id': 'chunk-9c43dac2fcd5b578242d907ea6f8fc7b'} +2024-10-30 06:53:47,201 - lightrag - INFO - edge_degree:query:MATCH (n1:`GHOST`)-[r]-(n2:`SCROOGE`) + RETURN count(r) AS degree:result:1 +2024-10-30 06:53:47,294 - lightrag - INFO - edge_degree:query:MATCH (n1:`SCROOGE`)-[r]-(n2:`THE TURKEY`) + RETURN count(r) AS degree:result:1 +2024-10-30 06:53:47,388 - lightrag - INFO - edge_degree:query:MATCH (n1:`SCROOGE`)-[r]-(n2:`THE PRESENT`) + RETURN count(r) AS degree:result:1 +2024-10-30 06:53:47,481 - lightrag - INFO - edge_degree:query:MATCH (n1:`LITTLE FAN`)-[r]-(n2:`SCROOGE`) + RETURN count(r) AS degree:result:1 +2024-10-30 06:53:47,578 - lightrag - INFO - edge_degree:query:MATCH (n1:`ALMSHOUSE`)-[r]-(n2:`SPIRIT`) + RETURN count(r) AS degree:result:1 +2024-10-30 06:53:47,669 - lightrag - INFO - edge_degree:query:MATCH (n1:`HOPE`)-[r]-(n2:`THE COMELY MATRON`) + RETURN count(r) AS degree:result:1 +2024-10-30 06:53:47,760 - lightrag - INFO - edge_degree:query:MATCH (n1:`CHRISTMAS`)-[r]-(n2:`THE GROCERS`) + RETURN count(r) AS degree:result:1 +2024-10-30 06:53:47,848 - lightrag - INFO - edge_degree:query:MATCH (n1:`SCROOGE`)-[r]-(n2:`THE SPIRITS`) + RETURN count(r) AS degree:result:1 +2024-10-30 06:53:47,942 - lightrag - INFO - edge_degree:query:MATCH (n1:`BOB CRATCHIT`)-[r]-(n2:`TINY TIM`) + RETURN count(r) AS degree:result:1 +2024-10-30 06:53:48,037 - lightrag - INFO - edge_degree:query:MATCH (n1:`GHOST OF CHRISTMAS PAST`)-[r]-(n2:`SCROOGE`) + RETURN count(r) AS degree:result:1 +2024-10-30 06:53:48,129 - lightrag - INFO - edge_degree:query:MATCH (n1:`CHRISTMAS`)-[r]-(n2:`THE MANSION HOUSE`) + RETURN count(r) AS degree:result:1 +2024-10-30 06:53:48,221 - lightrag - INFO - edge_degree:query:MATCH (n1:`GRAVE`)-[r]-(n2:`SCROOGE`) + RETURN count(r) AS degree:result:1 +2024-10-30 06:53:48,315 - lightrag - INFO - edge_degree:query:MATCH (n1:`MARLEY`)-[r]-(n2:`SCROOGE AND MARLEY'S`) + RETURN count(r) AS degree:result:1 +2024-10-30 06:53:48,412 - lightrag - INFO - edge_degree:query:MATCH (n1:`SCROOGE`)-[r]-(n2:`THE GRATE`) + RETURN count(r) AS degree:result:1 +2024-10-30 06:53:48,507 - lightrag - INFO - edge_degree:query:MATCH (n1:`SCROOGE`)-[r]-(n2:`THE DYING FLAME`) + RETURN count(r) AS degree:result:1 +2024-10-30 06:53:48,599 - lightrag - INFO - edge_degree:query:MATCH (n1:`CAROLINE`)-[r]-(n2:`THE HUSBAND`) + RETURN count(r) AS degree:result:1 +2024-10-30 06:53:48,690 - lightrag - INFO - edge_degree:query:MATCH (n1:`CHRISTMAS EVES`)-[r]-(n2:`SCROOGE`) + RETURN count(r) AS degree:result:1 +2024-10-30 06:53:48,780 - lightrag - INFO - edge_degree:query:MATCH (n1:`BOB CRATCHIT`)-[r]-(n2:`THE CRATCHIT HOUSEHOLD`) + RETURN count(r) AS degree:result:1 +2024-10-30 06:53:48,869 - lightrag - INFO - edge_degree:query:MATCH (n1:`BOB CRATCHIT`)-[r]-(n2:`SPIRIT OF CHRISTMAS PRESENT`) + RETURN count(r) AS degree:result:1 +2024-10-30 06:53:48,959 - lightrag - INFO - edge_degree:query:MATCH (n1:`THE CANDLE`)-[r]-(n2:`THE FOG AND FROST`) + RETURN count(r) AS degree:result:1 +2024-10-30 06:53:49,054 - lightrag - INFO - edge_degree:query:MATCH (n1:`CHRISTMAS`)-[r]-(n2:`THE GHOST`) + RETURN count(r) AS degree:result:1 +2024-10-30 06:53:49,150 - lightrag - INFO - edge_degree:query:MATCH (n1:`BOB`)-[r]-(n2:`SCROOGE`) + RETURN count(r) AS degree:result:1 +2024-10-30 06:53:49,243 - lightrag - INFO - edge_degree:query:MATCH (n1:`FEZZIWIG`)-[r]-(n2:`SCROOGE`) + RETURN count(r) AS degree:result:1 +2024-10-30 06:53:49,336 - lightrag - INFO - edge_degree:query:MATCH (n1:`GHOST OF CHRISTMAS PRESENT`)-[r]-(n2:`SCROOGE`) + RETURN count(r) AS degree:result:1 +2024-10-30 06:53:49,434 - lightrag - INFO - edge_degree:query:MATCH (n1:`SCROOGE`)-[r]-(n2:`SPIRIT`) + RETURN count(r) AS degree:result:1 +2024-10-30 06:53:49,531 - lightrag - INFO - edge_degree:query:MATCH (n1:`SCROOGE`)-[r]-(n2:`THE BOY`) + RETURN count(r) AS degree:result:1 +2024-10-30 06:53:49,621 - lightrag - INFO - edge_degree:query:MATCH (n1:`SCROOGE`)-[r]-(n2:`THE GHOST`) + RETURN count(r) AS degree:result:1 +2024-10-30 06:53:49,713 - lightrag - INFO - edge_degree:query:MATCH (n1:`THE CRATCHIT FAMILY`)-[r]-(n2:`TINY TIM`) + RETURN count(r) AS degree:result:1 +2024-10-30 06:53:49,806 - lightrag - INFO - edge_degree:query:MATCH (n1:`SCROOGE`)-[r]-(n2:`THE GHOST OF CHRISTMAS PAST`) + RETURN count(r) AS degree:result:1 +2024-10-30 06:53:49,902 - lightrag - INFO - edge_degree:query:MATCH (n1:`HAPPINESS`)-[r]-(n2:`THE BEAUTIFUL YOUNG GIRL`) + RETURN count(r) AS degree:result:1 +2024-10-30 06:53:49,993 - lightrag - INFO - edge_degree:query:MATCH (n1:`EBENEZER SCROOGE`)-[r]-(n2:`TINY TIM`) + RETURN count(r) AS degree:result:1 +2024-10-30 06:53:50,088 - lightrag - INFO - edge_degree:query:MATCH (n1:`SCROOGE`)-[r]-(n2:`THE GENTLEMEN`) + RETURN count(r) AS degree:result:1 +2024-10-30 06:53:50,184 - lightrag - INFO - edge_degree:query:MATCH (n1:`SCROOGE`)-[r]-(n2:`THE PHANTOM VOICES`) + RETURN count(r) AS degree:result:1 +2024-10-30 06:53:50,279 - lightrag - INFO - edge_degree:query:MATCH (n1:`DICK WILKINS`)-[r]-(n2:`SCROOGE`) + RETURN count(r) AS degree:result:1 +2024-10-30 06:53:50,373 - lightrag - INFO - edge_degree:query:MATCH (n1:`DINNER`)-[r]-(n2:`SCROOGE'S NEPHEW`) + RETURN count(r) AS degree:result:1 +2024-10-30 06:53:50,470 - lightrag - INFO - edge_degree:query:MATCH (n1:`BOB CRATCHIT`)-[r]-(n2:`MASTER PETER`) + RETURN count(r) AS degree:result:1 +2024-10-30 06:53:50,562 - lightrag - INFO - edge_degree:query:MATCH (n1:`SCROOGE`)-[r]-(n2:`THE FUNERAL`) + RETURN count(r) AS degree:result:1 +2024-10-30 06:53:50,653 - lightrag - INFO - edge_degree:query:MATCH (n1:`SCROOGE`)-[r]-(n2:`STREET`) + RETURN count(r) AS degree:result:1 +2024-10-30 06:53:50,741 - lightrag - INFO - edge_degree:query:MATCH (n1:`SCROOGE`)-[r]-(n2:`THE GRAVE`) + RETURN count(r) AS degree:result:1 +2024-10-30 06:53:50,830 - lightrag - INFO - edge_degree:query:MATCH (n1:`JOE`)-[r]-(n2:`THE DECEASED`) + RETURN count(r) AS degree:result:1 +2024-10-30 06:53:50,922 - lightrag - INFO - edge_degree:query:MATCH (n1:`CHRISTMAS`)-[r]-(n2:`TINY TIM`) + RETURN count(r) AS degree:result:1 +2024-10-30 06:53:51,018 - lightrag - INFO - edge_degree:query:MATCH (n1:`IGNORANCE`)-[r]-(n2:`SCROOGE`) + RETURN count(r) AS degree:result:1 +2024-10-30 06:53:51,113 - lightrag - INFO - edge_degree:query:MATCH (n1:`MANKIND`)-[r]-(n2:`SCROOGE`) + RETURN count(r) AS degree:result:1 +2024-10-30 06:53:51,207 - lightrag - INFO - edge_degree:query:MATCH (n1:`GAOL`)-[r]-(n2:`SPIRIT`) + RETURN count(r) AS degree:result:1 +2024-10-30 06:53:51,299 - lightrag - INFO - edge_degree:query:MATCH (n1:`THE FIRE`)-[r]-(n2:`TINY TIM`) + RETURN count(r) AS degree:result:1 +2024-10-30 06:53:51,391 - lightrag - INFO - edge_degree:query:MATCH (n1:`ORSON`)-[r]-(n2:`SCROOGE`) + RETURN count(r) AS degree:result:1 +2024-10-30 06:53:51,487 - lightrag - INFO - edge_degree:query:MATCH (n1:`BELLE`)-[r]-(n2:`SCROOGE`) + RETURN count(r) AS degree:result:1 +2024-10-30 06:53:51,584 - lightrag - INFO - edge_degree:query:MATCH (n1:`COURT`)-[r]-(n2:`SCROOGE`) + RETURN count(r) AS degree:result:1 +2024-10-30 06:53:51,678 - lightrag - INFO - edge_degree:query:MATCH (n1:`SCROOGE`)-[r]-(n2:`THE CORPSE`) + RETURN count(r) AS degree:result:1 +2024-10-30 06:53:51,770 - lightrag - INFO - edge_degree:query:MATCH (n1:`CHRISTMAS`)-[r]-(n2:`SPANISH ONIONS`) + RETURN count(r) AS degree:result:1 +2024-10-30 06:53:51,861 - lightrag - INFO - edge_degree:query:MATCH (n1:`CHURCH`)-[r]-(n2:`SCROOGE`) + RETURN count(r) AS degree:result:1 +2024-10-30 06:53:51,956 - lightrag - INFO - edge_degree:query:MATCH (n1:`CRATCHIT FAMILY`)-[r]-(n2:`MASTER PETER CRATCHIT`) + RETURN count(r) AS degree:result:1 +2024-10-30 06:53:52,057 - lightrag - INFO - edge_degree:query:MATCH (n1:`SCROOGE`)-[r]-(n2:`THE GHOST OF MARLEY`) + RETURN count(r) AS degree:result:1 +2024-10-30 06:53:52,151 - lightrag - INFO - edge_degree:query:MATCH (n1:`CRATCHIT CHRISTMAS DINNER`)-[r]-(n2:`CRATCHIT FAMILY`) + RETURN count(r) AS degree:result:1 +2024-10-30 06:53:52,244 - lightrag - INFO - edge_degree:query:MATCH (n1:`THE CHILDREN`)-[r]-(n2:`THE MOTHER`) + RETURN count(r) AS degree:result:1 +2024-10-30 06:53:52,339 - lightrag - INFO - edge_degree:query:MATCH (n1:`CRATCHIT FAMILY`)-[r]-(n2:`THE SPIRIT`) + RETURN count(r) AS degree:result:1 +2024-10-30 06:53:52,437 - lightrag - INFO - edge_degree:query:MATCH (n1:`SCHOOL`)-[r]-(n2:`SPIRIT`) + RETURN count(r) AS degree:result:1 +2024-10-30 06:53:52,531 - lightrag - INFO - edge_degree:query:MATCH (n1:`CRATCHIT FAMILY`)-[r]-(n2:`THE GOOSE`) + RETURN count(r) AS degree:result:1 +2024-10-30 06:53:52,620 - lightrag - INFO - edge_degree:query:MATCH (n1:`CHRISTMAS`)-[r]-(n2:`MISTLETOE`) + RETURN count(r) AS degree:result:1 +2024-10-30 06:53:52,716 - lightrag - INFO - edge_degree:query:MATCH (n1:`DEATH`)-[r]-(n2:`SCROOGE`) + RETURN count(r) AS degree:result:1 +2024-10-30 06:53:52,807 - lightrag - INFO - edge_degree:query:MATCH (n1:`SCROOGE`)-[r]-(n2:`THE DOWERLESS GIRL`) + RETURN count(r) AS degree:result:1 +2024-10-30 06:53:52,901 - lightrag - INFO - edge_degree:query:MATCH (n1:`CRATCHIT FAMILY`)-[r]-(n2:`DEATH`) + RETURN count(r) AS degree:result:1 +2024-10-30 06:53:52,995 - lightrag - INFO - edge_degree:query:MATCH (n1:`FELLOW-BEINGS`)-[r]-(n2:`SCROOGE`) + RETURN count(r) AS degree:result:1 +2024-10-30 06:53:53,087 - lightrag - INFO - edge_degree:query:MATCH (n1:`CLERK`)-[r]-(n2:`SCROOGE`) + RETURN count(r) AS degree:result:1 +2024-10-30 06:53:53,180 - lightrag - INFO - edge_degree:query:MATCH (n1:`SCROOGE`)-[r]-(n2:`THE DECEASED`) + RETURN count(r) AS degree:result:1 +2024-10-30 06:53:53,274 - lightrag - INFO - edge_degree:query:MATCH (n1:`SCROOGE`)-[r]-(n2:`THE LAMPLIGHTER`) + RETURN count(r) AS degree:result:1 +2024-10-30 06:53:53,368 - lightrag - INFO - edge_degree:query:MATCH (n1:`DICK`)-[r]-(n2:`SCROOGE`) + RETURN count(r) AS degree:result:1 +2024-10-30 06:53:53,463 - lightrag - INFO - edge_degree:query:MATCH (n1:`OLD JOE`)-[r]-(n2:`THE SHOP`) + RETURN count(r) AS degree:result:1 +2024-10-30 06:53:53,559 - lightrag - INFO - edge_degree:query:MATCH (n1:`SCROOGE`)-[r]-(n2:`THE CRATCHIT HOUSE`) + RETURN count(r) AS degree:result:1 +2024-10-30 06:53:53,651 - lightrag - INFO - edge_degree:query:MATCH (n1:`ALI BABA`)-[r]-(n2:`SCROOGE`) + RETURN count(r) AS degree:result:1 +2024-10-30 06:53:53,741 - lightrag - INFO - edge_degree:query:MATCH (n1:`JACOB`)-[r]-(n2:`SCROOGE`) + RETURN count(r) AS degree:result:1 +2024-10-30 06:53:53,829 - lightrag - INFO - edge_degree:query:MATCH (n1:`THE BUNDLE`)-[r]-(n2:`THE DECEASED MAN`) + RETURN count(r) AS degree:result:1 +2024-10-30 06:53:53,925 - lightrag - INFO - edge_degree:query:MATCH (n1:`CHILDREN`)-[r]-(n2:`SPIRIT`) + RETURN count(r) AS degree:result:1 +2024-10-30 06:53:54,020 - lightrag - INFO - edge_degree:query:MATCH (n1:`COUNTING-HOUSE`)-[r]-(n2:`SCROOGE`) + RETURN count(r) AS degree:result:1 +2024-10-30 06:53:54,116 - lightrag - INFO - edge_degree:query:MATCH (n1:`SCROOGE`)-[r]-(n2:`THE GHOST OF CHRISTMAS PRESENT`) + RETURN count(r) AS degree:result:1 +2024-10-30 06:53:54,206 - lightrag - INFO - edge_degree:query:MATCH (n1:`SCHOOL`)-[r]-(n2:`SCROOGE`) + RETURN count(r) AS degree:result:1 +2024-10-30 06:53:54,297 - lightrag - INFO - edge_degree:query:MATCH (n1:`JOE`)-[r]-(n2:`SCROOGE`) + RETURN count(r) AS degree:result:1 +2024-10-30 06:53:54,392 - lightrag - INFO - edge_degree:query:MATCH (n1:`CHRISTMAS`)-[r]-(n2:`SCROOGE'S NEPHEW`) + RETURN count(r) AS degree:result:1 +2024-10-30 06:53:54,485 - lightrag - INFO - edge_degree:query:MATCH (n1:`THE DAUGHTER`)-[r]-(n2:`THE MOTHER`) + RETURN count(r) AS degree:result:1 +2024-10-30 06:53:54,585 - lightrag - INFO - edge_degree:query:MATCH (n1:`BOB CRATCHIT`)-[r]-(n2:`THE TANK`) + RETURN count(r) AS degree:result:1 +2024-10-30 06:53:54,677 - lightrag - INFO - edge_degree:query:MATCH (n1:`SCROOGE`)-[r]-(n2:`THE HOUSE`) + RETURN count(r) AS degree:result:1 +2024-10-30 06:53:54,771 - lightrag - INFO - edge_degree:query:MATCH (n1:`GHOST OF CHRISTMAS PRESENT`)-[r]-(n2:`SPIRIT`) + RETURN count(r) AS degree:result:1 +2024-10-30 06:53:54,864 - lightrag - INFO - edge_degree:query:MATCH (n1:`SCROOGE`)-[r]-(n2:`THE CLOCK`) + RETURN count(r) AS degree:result:1 +2024-10-30 06:53:54,958 - lightrag - INFO - edge_degree:query:MATCH (n1:`BOB CRATCHIT`)-[r]-(n2:`THE POULTERER'S`) + RETURN count(r) AS degree:result:1 +2024-10-30 06:53:55,053 - lightrag - INFO - edge_degree:query:MATCH (n1:`BEDLAM`)-[r]-(n2:`SCROOGE`) + RETURN count(r) AS degree:result:1 +2024-10-30 06:53:55,147 - lightrag - INFO - edge_degree:query:MATCH (n1:`CHRISTMAS CAROL`)-[r]-(n2:`SCROOGE`) + RETURN count(r) AS degree:result:1 +2024-10-30 06:53:55,245 - lightrag - INFO - edge_degree:query:MATCH (n1:`SCROOGE`)-[r]-(n2:`THE BELL`) + RETURN count(r) AS degree:result:1 +2024-10-30 06:53:55,341 - lightrag - INFO - edge_degree:query:MATCH (n1:`CHILDREN`)-[r]-(n2:`SCROOGE`) + RETURN count(r) AS degree:result:1 +2024-10-30 06:53:55,442 - lightrag - INFO - edge_degree:query:MATCH (n1:`GHOST`)-[r]-(n2:`SPECTRE`) + RETURN count(r) AS degree:result:1 +2024-10-30 06:53:55,536 - lightrag - INFO - edge_degree:query:MATCH (n1:`POOR AND DESTITUTE`)-[r]-(n2:`SCROOGE`) + RETURN count(r) AS degree:result:1 +2024-10-30 06:53:55,632 - lightrag - INFO - edge_degree:query:MATCH (n1:`BOYS`)-[r]-(n2:`SCROOGE`) + RETURN count(r) AS degree:result:1 +2024-10-30 06:53:55,726 - lightrag - INFO - edge_degree:query:MATCH (n1:`CHRISTMAS DAY`)-[r]-(n2:`SCROOGE`) + RETURN count(r) AS degree:result:1 +2024-10-30 06:53:55,814 - lightrag - INFO - edge_degree:query:MATCH (n1:`BOB CRATCHIT`)-[r]-(n2:`CHRISTMAS EVE`) + RETURN count(r) AS degree:result:1 +2024-10-30 06:53:55,909 - lightrag - INFO - edge_degree:query:MATCH (n1:`BOB CRATCHIT`)-[r]-(n2:`CAMDEN TOWN`) + RETURN count(r) AS degree:result:1 +2024-10-30 06:53:56,009 - lightrag - INFO - edge_degree:query:MATCH (n1:`CHRISTMAS`)-[r]-(n2:`THE SHIP`) + RETURN count(r) AS degree:result:1 +2024-10-30 06:53:56,098 - lightrag - INFO - edge_degree:query:MATCH (n1:`IGNORANCE`)-[r]-(n2:`SPIRIT`) + RETURN count(r) AS degree:result:1 +2024-10-30 06:53:56,188 - lightrag - INFO - edge_degree:query:MATCH (n1:`SCROOGE`)-[r]-(n2:`WEALTH`) + RETURN count(r) AS degree:result:1 +2024-10-30 06:53:56,282 - lightrag - INFO - edge_degree:query:MATCH (n1:`SCROOGE`)-[r]-(n2:`THE THREE SPIRITS`) + RETURN count(r) AS degree:result:1 +2024-10-30 06:53:56,375 - lightrag - INFO - edge_degree:query:MATCH (n1:`LONDON`)-[r]-(n2:`SCROOGE`) + RETURN count(r) AS degree:result:1 +2024-10-30 06:53:56,472 - lightrag - INFO - edge_degree:query:MATCH (n1:`BUSINESSMEN`)-[r]-(n2:`SCROOGE`) + RETURN count(r) AS degree:result:1 +2024-10-30 06:53:56,565 - lightrag - INFO - edge_degree:query:MATCH (n1:`BOB CRATCHIT`)-[r]-(n2:`THE FAMILY`) + RETURN count(r) AS degree:result:1 +2024-10-30 06:53:56,656 - lightrag - INFO - edge_degree:query:MATCH (n1:`BOB`)-[r]-(n2:`TINY TIM`) + RETURN count(r) AS degree:result:1 +2024-10-30 06:53:56,748 - lightrag - INFO - edge_degree:query:MATCH (n1:`MARLEY`)-[r]-(n2:`THE KNOCKER`) + RETURN count(r) AS degree:result:1 +2024-10-30 06:53:56,838 - lightrag - INFO - edge_degree:query:MATCH (n1:`BEGGARS`)-[r]-(n2:`SCROOGE`) + RETURN count(r) AS degree:result:1 +2024-10-30 06:53:56,930 - lightrag - INFO - edge_degree:query:MATCH (n1:`GHOST OF CHRISTMAS PRESENT`)-[r]-(n2:`TINY TIM`) + RETURN count(r) AS degree:result:1 +2024-10-30 06:53:57,023 - lightrag - INFO - edge_degree:query:MATCH (n1:`SCROOGE`)-[r]-(n2:`WINDING RIVER`) + RETURN count(r) AS degree:result:1 +2024-10-30 06:53:57,116 - lightrag - INFO - edge_degree:query:MATCH (n1:`MULTITUDES`)-[r]-(n2:`SCROOGE`) + RETURN count(r) AS degree:result:1 +2024-10-30 06:53:57,206 - lightrag - INFO - edge_degree:query:MATCH (n1:`SCROOGE`)-[r]-(n2:`SPIRIT OF CHRISTMAS PRESENT`) + RETURN count(r) AS degree:result:1 +2024-10-30 06:53:57,297 - lightrag - INFO - edge_degree:query:MATCH (n1:`THE LIGHTHOUSE`)-[r]-(n2:`THE WAVE`) + RETURN count(r) AS degree:result:1 +2024-10-30 06:53:57,390 - lightrag - INFO - edge_degree:query:MATCH (n1:`SPIRIT`)-[r]-(n2:`THE EVENT OF DEATH`) + RETURN count(r) AS degree:result:1 +2024-10-30 06:53:57,487 - lightrag - INFO - edge_degree:query:MATCH (n1:`MRS. CRATCHIT`)-[r]-(n2:`SCROOGE`) + RETURN count(r) AS degree:result:1 +2024-10-30 06:53:57,581 - lightrag - INFO - edge_degree:query:MATCH (n1:`SCROOGE`)-[r]-(n2:`THE WINDOW`) + RETURN count(r) AS degree:result:1 +2024-10-30 06:53:57,674 - lightrag - INFO - edge_degree:query:MATCH (n1:`FOG`)-[r]-(n2:`SCROOGE`) + RETURN count(r) AS degree:result:1 +2024-10-30 06:53:57,767 - lightrag - INFO - edge_degree:query:MATCH (n1:`ROBIN CRUSOE`)-[r]-(n2:`SCROOGE`) + RETURN count(r) AS degree:result:1 +2024-10-30 06:53:57,859 - lightrag - INFO - edge_degree:query:MATCH (n1:`GHOST OF JACOB MARLEY`)-[r]-(n2:`SCROOGE`) + RETURN count(r) AS degree:result:1 +2024-10-30 06:53:57,954 - lightrag - INFO - edge_degree:query:MATCH (n1:`MARTHA CRATCHIT`)-[r]-(n2:`THE COUNTESS`) + RETURN count(r) AS degree:result:1 +2024-10-30 06:53:58,046 - lightrag - INFO - edge_degree:query:MATCH (n1:`SCROOGE`)-[r]-(n2:`TINY TIM`) + RETURN count(r) AS degree:result:1 +2024-10-30 06:53:58,138 - lightrag - INFO - edge_degree:query:MATCH (n1:`MR. MARLEY`)-[r]-(n2:`SCROOGE`) + RETURN count(r) AS degree:result:1 +2024-10-30 06:53:58,230 - lightrag - INFO - edge_degree:query:MATCH (n1:`CHRISTMAS`)-[r]-(n2:`GROCERS'`) + RETURN count(r) AS degree:result:1 +2024-10-30 06:53:58,325 - lightrag - INFO - edge_degree:query:MATCH (n1:`CHRISTMAS`)-[r]-(n2:`THE DINNER`) + RETURN count(r) AS degree:result:1 +2024-10-30 06:53:58,418 - lightrag - INFO - edge_degree:query:MATCH (n1:`APPLES`)-[r]-(n2:`CHRISTMAS`) + RETURN count(r) AS degree:result:1 +2024-10-30 06:53:58,509 - lightrag - INFO - edge_degree:query:MATCH (n1:`CLOCK`)-[r]-(n2:`SCROOGE`) + RETURN count(r) AS degree:result:1 +2024-10-30 06:53:58,602 - lightrag - INFO - edge_degree:query:MATCH (n1:`SCROOGE`)-[r]-(n2:`THE WAREHOUSE`) + RETURN count(r) AS degree:result:1 +2024-10-30 06:53:58,698 - lightrag - INFO - edge_degree:query:MATCH (n1:`JACOB MARLEY`)-[r]-(n2:`SCROOGE`) + RETURN count(r) AS degree:result:1 +2024-10-30 06:53:58,793 - lightrag - INFO - edge_degree:query:MATCH (n1:`CITY`)-[r]-(n2:`SCROOGE`) + RETURN count(r) AS degree:result:1 +2024-10-30 06:53:58,884 - lightrag - INFO - edge_degree:query:MATCH (n1:`SCROOGE`)-[r]-(n2:`THE YOUNG GIRL`) + RETURN count(r) AS degree:result:1 +2024-10-30 06:53:58,976 - lightrag - INFO - edge_degree:query:MATCH (n1:`CHRISTMAS`)-[r]-(n2:`THE SPIRIT`) + RETURN count(r) AS degree:result:1 +2024-10-30 06:53:59,065 - lightrag - INFO - edge_degree:query:MATCH (n1:`CHRISTMAS`)-[r]-(n2:`THE LIGHTHOUSE`) + RETURN count(r) AS degree:result:1 +2024-10-30 06:53:59,156 - lightrag - INFO - edge_degree:query:MATCH (n1:`CHRISTMAS`)-[r]-(n2:`CHRISTMAS EVE`) + RETURN count(r) AS degree:result:1 +2024-10-30 06:53:59,247 - lightrag - INFO - edge_degree:query:MATCH (n1:`SCROOGE`)-[r]-(n2:`SCROOGE'S NIECE`) + RETURN count(r) AS degree:result:1 +2024-10-30 06:53:59,338 - lightrag - INFO - edge_degree:query:MATCH (n1:`SCROOGE`)-[r]-(n2:`THE GIRL`) + RETURN count(r) AS degree:result:1 +2024-10-30 06:53:59,431 - lightrag - INFO - edge_degree:query:MATCH (n1:`SCROOGE`)-[r]-(n2:`THE POULTERER'S`) + RETURN count(r) AS degree:result:1 +2024-10-30 06:53:59,531 - lightrag - INFO - edge_degree:query:MATCH (n1:`THE CRATCHIT HOUSE`)-[r]-(n2:`THE DEBT`) + RETURN count(r) AS degree:result:1 +2024-10-30 06:53:59,624 - lightrag - INFO - edge_degree:query:MATCH (n1:`JOE`)-[r]-(n2:`THE WOMAN`) + RETURN count(r) AS degree:result:1 +2024-10-30 06:53:59,718 - lightrag - INFO - edge_degree:query:MATCH (n1:`CHRISTMAS HOLIDAYS`)-[r]-(n2:`SCROOGE`) + RETURN count(r) AS degree:result:1 +2024-10-30 06:53:59,809 - lightrag - INFO - edge_degree:query:MATCH (n1:`SCROOGE`)-[r]-(n2:`THE GOLDEN IDOL`) + RETURN count(r) AS degree:result:1 +2024-10-30 06:53:59,898 - lightrag - INFO - edge_degree:query:MATCH (n1:`OLD SCRATCH`)-[r]-(n2:`THE FUNERAL`) + RETURN count(r) AS degree:result:1 +2024-10-30 06:53:59,991 - lightrag - INFO - edge_degree:query:MATCH (n1:`MARLEY'S FUNERAL`)-[r]-(n2:`SCROOGE`) + RETURN count(r) AS degree:result:1 +2024-10-30 06:54:00,083 - lightrag - INFO - edge_degree:query:MATCH (n1:`SCROOGE`)-[r]-(n2:`THE OBSCURE PART OF TOWN`) + RETURN count(r) AS degree:result:1 +2024-10-30 06:54:00,174 - lightrag - INFO - edge_degree:query:MATCH (n1:`BOB CRATCHIT`)-[r]-(n2:`THE GATHERING`) + RETURN count(r) AS degree:result:1 +2024-10-30 06:54:00,267 - lightrag - INFO - edge_degree:query:MATCH (n1:`CHRISTMAS PUDDING`)-[r]-(n2:`CRATCHIT FAMILY`) + RETURN count(r) AS degree:result:1 +2024-10-30 06:54:00,359 - lightrag - INFO - edge_degree:query:MATCH (n1:`OLD SCROOGE`)-[r]-(n2:`SCROOGE`) + RETURN count(r) AS degree:result:1 +2024-10-30 06:54:00,449 - lightrag - INFO - edge_degree:query:MATCH (n1:`SCROOGE`)-[r]-(n2:`THE DARKNESS`) + RETURN count(r) AS degree:result:1 +2024-10-30 06:54:00,543 - lightrag - INFO - edge_degree:query:MATCH (n1:`BOB CRATCHIT`)-[r]-(n2:`CAROLINE`) + RETURN count(r) AS degree:result:1 +2024-10-30 06:54:00,635 - lightrag - INFO - edge_degree:query:MATCH (n1:`CHESTNUTS`)-[r]-(n2:`CHRISTMAS`) + RETURN count(r) AS degree:result:1 +2024-10-30 06:54:00,727 - lightrag - INFO - edge_degree:query:MATCH (n1:`THE LOW-BROWED SHOP`)-[r]-(n2:`THE TOWN`) + RETURN count(r) AS degree:result:1 +2024-10-30 06:54:00,818 - lightrag - INFO - edge_degree:query:MATCH (n1:`SCROOGE`)-[r]-(n2:`THE OLD GENTLEMAN`) + RETURN count(r) AS degree:result:1 +2024-10-30 06:54:00,909 - lightrag - INFO - edge_degree:query:MATCH (n1:`HOME`)-[r]-(n2:`THE MOTHER`) + RETURN count(r) AS degree:result:1 +2024-10-30 06:54:01,001 - lightrag - INFO - edge_degree:query:MATCH (n1:`SCROOGE`)-[r]-(n2:`THE BED`) + RETURN count(r) AS degree:result:1 +2024-10-30 06:54:01,096 - lightrag - INFO - edge_degree:query:MATCH (n1:`SCROOGE`)-[r]-(n2:`THE DRESSING-GOWN`) + RETURN count(r) AS degree:result:1 +2024-10-30 06:54:01,192 - lightrag - INFO - edge_degree:query:MATCH (n1:`SCROOGE`)-[r]-(n2:`SUNDAY CLOTHES BOY`) + RETURN count(r) AS degree:result:1 +2024-10-30 06:54:01,287 - lightrag - INFO - edge_degree:query:MATCH (n1:`SCROOGE`)-[r]-(n2:`THE YARD`) + RETURN count(r) AS degree:result:1 +2024-10-30 06:54:01,381 - lightrag - INFO - edge_degree:query:MATCH (n1:`CHRISTMAS EVE`)-[r]-(n2:`SCROOGE`) + RETURN count(r) AS degree:result:1 +2024-10-30 06:54:01,477 - lightrag - INFO - edge_degree:query:MATCH (n1:`COLD WEATHER`)-[r]-(n2:`SCROOGE`) + RETURN count(r) AS degree:result:1 +2024-10-30 06:54:01,569 - lightrag - INFO - edge_degree:query:MATCH (n1:`MARLEY`)-[r]-(n2:`SCROOGE`) + RETURN count(r) AS degree:result:1 +2024-10-30 06:54:01,663 - lightrag - INFO - edge_degree:query:MATCH (n1:`FRED`)-[r]-(n2:`SCROOGE`) + RETURN count(r) AS degree:result:1 +2024-10-30 06:54:01,761 - lightrag - INFO - edge_degree:query:MATCH (n1:`SCROOGE`)-[r]-(n2:`SCROOGE'S NEPHEW`) + RETURN count(r) AS degree:result:1 +2024-10-30 06:54:01,854 - lightrag - INFO - edge_degree:query:MATCH (n1:`GHOST OF CHRISTMAS YET TO COME`)-[r]-(n2:`SPIRIT`) + RETURN count(r) AS degree:result:1 +2024-10-30 06:54:01,943 - lightrag - INFO - edge_degree:query:MATCH (n1:`MISERY'S REFUGE`)-[r]-(n2:`SPIRIT`) + RETURN count(r) AS degree:result:1 +2024-10-30 06:54:02,040 - lightrag - INFO - edge_degree:query:MATCH (n1:`SCROOGE`)-[r]-(n2:`THE CHURCH`) + RETURN count(r) AS degree:result:1 +2024-10-30 06:54:02,130 - lightrag - INFO - edge_degree:query:MATCH (n1:`CHRISTMAS`)-[r]-(n2:`PEARS`) + RETURN count(r) AS degree:result:1 +2024-10-30 06:54:02,222 - lightrag - INFO - edge_degree:query:MATCH (n1:`THE FATHER`)-[r]-(n2:`THE MOTHER`) + RETURN count(r) AS degree:result:1 +2024-10-30 06:54:02,314 - lightrag - INFO - edge_degree:query:MATCH (n1:`SCROOGE`)-[r]-(n2:`THE PEOPLE`) + RETURN count(r) AS degree:result:1 +2024-10-30 06:54:02,410 - lightrag - INFO - edge_degree:query:MATCH (n1:`CRATCHIT FAMILY`)-[r]-(n2:`SCROOGE`) + RETURN count(r) AS degree:result:1 +2024-10-30 06:54:02,504 - lightrag - INFO - edge_degree:query:MATCH (n1:`CRATCHIT FAMILY`)-[r]-(n2:`MRS. CRATCHIT`) + RETURN count(r) AS degree:result:1 +2024-10-30 06:54:02,596 - lightrag - INFO - edge_degree:query:MATCH (n1:`CHRISTMAS-TIME`)-[r]-(n2:`THE PHANTOM`) + RETURN count(r) AS degree:result:1 +2024-10-30 06:54:02,689 - lightrag - INFO - edge_degree:query:MATCH (n1:`CHRISTMAS`)-[r]-(n2:`GREAT BRITAIN`) + RETURN count(r) AS degree:result:1 +2024-10-30 06:54:02,780 - lightrag - INFO - edge_degree:query:MATCH (n1:`GHOST OF CHRISTMAS YET TO COME`)-[r]-(n2:`SCROOGE`) + RETURN count(r) AS degree:result:1 +2024-10-30 06:54:02,874 - lightrag - INFO - edge_degree:query:MATCH (n1:`CHRISTMAS`)-[r]-(n2:`HOLLY`) + RETURN count(r) AS degree:result:1 +2024-10-30 06:54:02,963 - lightrag - INFO - edge_degree:query:MATCH (n1:`SCROOGE`)-[r]-(n2:`SHADOW OF HIMSELF`) + RETURN count(r) AS degree:result:1 +2024-10-30 06:54:03,050 - lightrag - INFO - edge_degree:query:MATCH (n1:`SCROOGE`)-[r]-(n2:`THE CLERK`) + RETURN count(r) AS degree:result:1 +2024-10-30 06:54:03,139 - lightrag - INFO - edge_degree:query:MATCH (n1:`SCROOGE`)-[r]-(n2:`THE GHOST OF JACOB MARLEY`) + RETURN count(r) AS degree:result:1 +2024-10-30 06:54:03,232 - lightrag - INFO - edge_degree:query:MATCH (n1:`CHRISTMAS`)-[r]-(n2:`GEESE`) + RETURN count(r) AS degree:result:1 +2024-10-30 06:54:03,324 - lightrag - INFO - edge_degree:query:MATCH (n1:`SCROOGE`)-[r]-(n2:`THE MAIN STREET`) + RETURN count(r) AS degree:result:1 +2024-10-30 06:54:03,418 - lightrag - INFO - edge_degree:query:MATCH (n1:`SCROOGE`)-[r]-(n2:`VALENTINE`) + RETURN count(r) AS degree:result:1 +2024-10-30 06:54:03,511 - lightrag - INFO - edge_degree:query:MATCH (n1:`SCROOGE`)-[r]-(n2:`THE GHOST OF CHRISTMAS FUTURE`) + RETURN count(r) AS degree:result:1 +2024-10-30 06:54:03,603 - lightrag - INFO - edge_degree:query:MATCH (n1:`SCROOGE`)-[r]-(n2:`TWELFTH-NIGHT PARTY`) + RETURN count(r) AS degree:result:1 +2024-10-30 06:54:03,697 - lightrag - INFO - edge_degree:query:MATCH (n1:`THE CRATCHIT FAMILY`)-[r]-(n2:`THE DINNER`) + RETURN count(r) AS degree:result:1 +2024-10-30 06:54:03,792 - lightrag - INFO - edge_degree:query:MATCH (n1:`BOB CRATCHIT`)-[r]-(n2:`THE COUNTING-HOUSE`) + RETURN count(r) AS degree:result:1 +2024-10-30 06:54:03,886 - lightrag - INFO - edge_degree:query:MATCH (n1:`DEATH`)-[r]-(n2:`THE BED`) + RETURN count(r) AS degree:result:1 +2024-10-30 06:54:03,977 - lightrag - INFO - edge_degree:query:MATCH (n1:`CITY`)-[r]-(n2:`SPIRIT`) + RETURN count(r) AS degree:result:1 +2024-10-30 06:54:04,074 - lightrag - INFO - edge_degree:query:MATCH (n1:`CHRISTMAS FEAST`)-[r]-(n2:`CRATCHIT FAMILY`) + RETURN count(r) AS degree:result:1 +2024-10-30 06:54:04,163 - lightrag - INFO - edge_degree:query:MATCH (n1:`CRATCHIT FAMILY`)-[r]-(n2:`MARTHA`) + RETURN count(r) AS degree:result:1 +2024-10-30 06:54:04,256 - lightrag - INFO - edge_degree:query:MATCH (n1:`SCROOGE`)-[r]-(n2:`THE BUSINESSMEN`) + RETURN count(r) AS degree:result:1 +2024-10-30 06:54:04,351 - lightrag - INFO - edge_degree:query:MATCH (n1:`SCROOGE`)-[r]-(n2:`THE GENTLEMAN`) + RETURN count(r) AS degree:result:1 +2024-10-30 06:54:04,446 - lightrag - INFO - edge_degree:query:MATCH (n1:`JACOB MARLEY`)-[r]-(n2:`THE GHOST`) + RETURN count(r) AS degree:result:1 +2024-10-30 06:54:04,544 - lightrag - INFO - edge_degree:query:MATCH (n1:`MASTER SCROOGE`)-[r]-(n2:`SCROOGE`) + RETURN count(r) AS degree:result:1 +2024-10-30 06:54:04,642 - lightrag - INFO - edge_degree:query:MATCH (n1:`MANSION`)-[r]-(n2:`SCROOGE`) + RETURN count(r) AS degree:result:1 +2024-10-30 06:54:04,732 - lightrag - INFO - edge_degree:query:MATCH (n1:`CHRISTMAS`)-[r]-(n2:`FRENCH PLUMS`) + RETURN count(r) AS degree:result:1 +2024-10-30 06:54:04,824 - lightrag - INFO - edge_degree:query:MATCH (n1:`CHRISTMAS`)-[r]-(n2:`FIGS`) + RETURN count(r) AS degree:result:1 +2024-10-30 06:54:04,913 - lightrag - INFO - edge_degree:query:MATCH (n1:`BOB CRATCHIT`)-[r]-(n2:`SCROOGE`) + RETURN count(r) AS degree:result:1 +2024-10-30 06:54:05,002 - lightrag - INFO - edge_degree:query:MATCH (n1:`BRIDGE`)-[r]-(n2:`SCROOGE`) + RETURN count(r) AS degree:result:1 +2024-10-30 06:54:05,094 - lightrag - INFO - edge_degree:query:MATCH (n1:`SCROOGE`)-[r]-(n2:`THE BEAUTIFUL YOUNG GIRL`) + RETURN count(r) AS degree:result:1 +2024-10-30 06:54:05,186 - lightrag - INFO - edge_degree:query:MATCH (n1:`MRS. CRATCHIT`)-[r]-(n2:`TINY TIM`) + RETURN count(r) AS degree:result:1 +2024-10-30 06:54:05,276 - lightrag - INFO - edge_degree:query:MATCH (n1:`MARTHA`)-[r]-(n2:`TINY TIM`) + RETURN count(r) AS degree:result:1 +2024-10-30 06:54:05,367 - lightrag - INFO - edge_degree:query:MATCH (n1:`BOB CRATCHIT`)-[r]-(n2:`MRS. CRATCHIT`) + RETURN count(r) AS degree:result:1 +2024-10-30 06:54:05,461 - lightrag - INFO - edge_degree:query:MATCH (n1:`SCROOGE`)-[r]-(n2:`THE BLANKETS`) + RETURN count(r) AS degree:result:1 +2024-10-30 06:54:05,555 - lightrag - INFO - edge_degree:query:MATCH (n1:`SCROOGE`)-[r]-(n2:`TIM`) + RETURN count(r) AS degree:result:1 +2024-10-30 06:54:05,647 - lightrag - INFO - edge_degree:query:MATCH (n1:`MARLEY`)-[r]-(n2:`THE HEAVY CHAIN`) + RETURN count(r) AS degree:result:1 +2024-10-30 06:54:05,742 - lightrag - INFO - edge_degree:query:MATCH (n1:`MARLEY'S GHOST`)-[r]-(n2:`SCROOGE`) + RETURN count(r) AS degree:result:1 +2024-10-30 06:54:05,835 - lightrag - INFO - edge_degree:query:MATCH (n1:`BAD REPUTE`)-[r]-(n2:`SCROOGE`) + RETURN count(r) AS degree:result:1 +2024-10-30 06:54:05,926 - lightrag - INFO - edge_degree:query:MATCH (n1:`SCROOGE`)-[r]-(n2:`THE OFFICE`) + RETURN count(r) AS degree:result:1 +2024-10-30 06:54:06,017 - lightrag - INFO - edge_degree:query:MATCH (n1:`FAN`)-[r]-(n2:`SCROOGE`) + RETURN count(r) AS degree:result:1 +2024-10-30 06:54:06,114 - lightrag - INFO - edge_degree:query:MATCH (n1:`CAROLINE`)-[r]-(n2:`HOPE`) + RETURN count(r) AS degree:result:1 +2024-10-30 06:54:06,208 - lightrag - INFO - edge_degree:query:MATCH (n1:`MARTHA`)-[r]-(n2:`THE COUNTESS`) + RETURN count(r) AS degree:result:1 +2024-10-30 06:54:06,303 - lightrag - INFO - edge_degree:query:MATCH (n1:`THE CHILDREN`)-[r]-(n2:`THE HOUSE`) + RETURN count(r) AS degree:result:1 +2024-10-30 06:54:06,399 - lightrag - INFO - edge_degree:query:MATCH (n1:`SCROOGE`)-[r]-(n2:`THE COLD`) + RETURN count(r) AS degree:result:1 +2024-10-30 06:54:06,493 - lightrag - INFO - edge_degree:query:MATCH (n1:`BOB CRATCHIT`)-[r]-(n2:`THE CHRISTMAS DINNER`) + RETURN count(r) AS degree:result:1 +2024-10-30 06:54:06,586 - lightrag - INFO - edge_degree:query:MATCH (n1:`THE YOUNG CRATCHITS`)-[r]-(n2:`TINY TIM`) + RETURN count(r) AS degree:result:1 +2024-10-30 06:54:06,686 - lightrag - INFO - edge_degree:query:MATCH (n1:`PORTLY GENTLEMEN`)-[r]-(n2:`SCROOGE`) + RETURN count(r) AS degree:result:1 +2024-10-30 06:54:06,783 - lightrag - INFO - edge_degree:query:MATCH (n1:`SCROOGE`)-[r]-(n2:`THE SPIRIT`) + RETURN count(r) AS degree:result:1 +2024-10-30 06:54:06,882 - lightrag - INFO - edge_degree:query:MATCH (n1:`MARKET-TOWN`)-[r]-(n2:`SCROOGE`) + RETURN count(r) AS degree:result:1 +2024-10-30 06:54:06,972 - lightrag - INFO - edge_degree:query:MATCH (n1:`BOB CRATCHIT`)-[r]-(n2:`EBENEZER SCROOGE`) + RETURN count(r) AS degree:result:1 +2024-10-30 06:54:07,064 - lightrag - INFO - edge_degree:query:MATCH (n1:`CAMDEN TOWN`)-[r]-(n2:`SCROOGE`) + RETURN count(r) AS degree:result:1 +2024-10-30 06:54:07,156 - lightrag - INFO - edge_degree:query:MATCH (n1:`CHILD`)-[r]-(n2:`SCROOGE`) + RETURN count(r) AS degree:result:1 +2024-10-30 06:54:07,253 - lightrag - INFO - edge_degree:query:MATCH (n1:`BOB CRATCHIT`)-[r]-(n2:`MARTHA`) + RETURN count(r) AS degree:result:1 +2024-10-30 06:54:07,350 - lightrag - INFO - edge_degree:query:MATCH (n1:`SCROOGE`)-[r]-(n2:`THE GHOST OF CHRISTMAS YET TO COME`) + RETURN count(r) AS degree:result:1 +2024-10-30 06:54:07,447 - lightrag - INFO - edge_degree:query:MATCH (n1:`SCROOGE`)-[r]-(n2:`THE PHANTOM`) + RETURN count(r) AS degree:result:1 +2024-10-30 06:54:07,541 - lightrag - INFO - edge_degree:query:MATCH (n1:`SPIRIT`)-[r]-(n2:`WANT`) + RETURN count(r) AS degree:result:1 +2024-10-30 06:54:07,633 - lightrag - INFO - edge_degree:query:MATCH (n1:`CHRISTMAS`)-[r]-(n2:`PEOPLE`) + RETURN count(r) AS degree:result:1 +2024-10-30 06:54:07,724 - lightrag - INFO - edge_degree:query:MATCH (n1:`FRIDAY`)-[r]-(n2:`SCROOGE`) + RETURN count(r) AS degree:result:1 +2024-10-30 06:54:07,814 - lightrag - INFO - edge_degree:query:MATCH (n1:`MARLEY`)-[r]-(n2:`THE GHOST`) + RETURN count(r) AS degree:result:1 +2024-10-30 06:54:07,907 - lightrag - INFO - edge_degree:query:MATCH (n1:`BOB CRATCHIT`)-[r]-(n2:`THE COUNTING-HOUSE CLERK`) + RETURN count(r) AS degree:result:1 +2024-10-30 06:54:08,003 - lightrag - INFO - edge_degree:query:MATCH (n1:`FROST`)-[r]-(n2:`SCROOGE`) + RETURN count(r) AS degree:result:1 +2024-10-30 06:54:08,096 - lightrag - INFO - edge_degree:query:MATCH (n1:`SCROOGE`)-[r]-(n2:`THE FOUNDER OF THE FEAST`) + RETURN count(r) AS degree:result:1 +2024-10-30 06:54:08,189 - lightrag - INFO - edge_degree:query:MATCH (n1:`SCROOGE`)-[r]-(n2:`THE MEMORY`) + RETURN count(r) AS degree:result:1 +2024-10-30 06:54:08,296 - lightrag - INFO - edge_degree:query:MATCH (n1:`CHRISTMAS`)-[r]-(n2:`TURKEYS`) + RETURN count(r) AS degree:result:1 +2024-10-30 06:54:08,389 - lightrag - INFO - edge_degree:query:MATCH (n1:`SCROOGE`)-[r]-(n2:`THE MOURNING DRESS`) + RETURN count(r) AS degree:result:1 +2024-10-30 06:54:08,482 - lightrag - INFO - edge_degree:query:MATCH (n1:`BOB CRATCHIT`)-[r]-(n2:`MR. SCROOGE'S NEPHEW`) + RETURN count(r) AS degree:result:1 +2024-10-30 06:54:08,576 - lightrag - INFO - edge_degree:query:MATCH (n1:`MR. FEZZIWIG`)-[r]-(n2:`SCROOGE`) + RETURN count(r) AS degree:result:1 +2024-10-30 06:54:08,666 - lightrag - INFO - edge_degree:query:MATCH (n1:`SCROOGE`)-[r]-(n2:`SMOKING BISHOP`) + RETURN count(r) AS degree:result:1 +2024-10-30 06:54:08,759 - lightrag - INFO - edge_degree:query:MATCH (n1:`HOSPITAL`)-[r]-(n2:`SPIRIT`) + RETURN count(r) AS degree:result:1 +2024-10-30 06:54:08,853 - lightrag - INFO - edge_degree:query:MATCH (n1:`THE GHOST`)-[r]-(n2:`THE SPIRIT`) + RETURN count(r) AS degree:result:1 +2024-10-30 06:54:08,946 - lightrag - INFO - edge_degree:query:MATCH (n1:`SCROOGE`)-[r]-(n2:`THE COUNTING-HOUSE`) + RETURN count(r) AS degree:result:1 +2024-10-30 06:54:09,039 - lightrag - INFO - edge_degree:query:MATCH (n1:`DARKNESS`)-[r]-(n2:`SCROOGE`) + RETURN count(r) AS degree:result:1 +2024-10-30 06:54:09,131 - lightrag - INFO - edge_degree:query:MATCH (n1:`CHRISTMAS`)-[r]-(n2:`SCROOGE`) + RETURN count(r) AS degree:result:1 +2024-10-30 06:54:09,220 - lightrag - INFO - edge_degree:query:MATCH (n1:`DEATH`)-[r]-(n2:`THE FUTURE`) + RETURN count(r) AS degree:result:1 +2024-10-30 06:54:09,309 - lightrag - INFO - edge_degree:query:MATCH (n1:`SCROOGE`)-[r]-(n2:`THE FOG AND FROST`) + RETURN count(r) AS degree:result:1 +2024-10-30 06:54:09,402 - lightrag - INFO - edge_degree:query:MATCH (n1:`SCROOGE`)-[r]-(n2:`THE WINE-MERCHANT'S CELLAR`) + RETURN count(r) AS degree:result:1 +2024-10-30 06:54:09,501 - lightrag - INFO - edge_degree:query:MATCH (n1:`SCROOGE`)-[r]-(n2:`THE CITY`) + RETURN count(r) AS degree:result:1 +2024-10-30 06:54:09,600 - lightrag - INFO - edge_degree:query:MATCH (n1:`SCROOGE`)-[r]-(n2:`THE PRIME OF LIFE`) + RETURN count(r) AS degree:result:1 +2024-10-30 06:54:09,692 - lightrag - INFO - edge_degree:query:MATCH (n1:`SCROOGE`)-[r]-(n2:`THE PAST`) + RETURN count(r) AS degree:result:1 +2024-10-30 06:54:09,785 - lightrag - INFO - edge_degree:query:MATCH (n1:`SCROOGE`)-[r]-(n2:`THE REGISTER`) + RETURN count(r) AS degree:result:1 +2024-10-30 06:54:09,878 - lightrag - INFO - edge_degree:query:MATCH (n1:`BOB CRATCHIT`)-[r]-(n2:`MARTHA CRATCHIT`) + RETURN count(r) AS degree:result:1 +2024-10-30 06:54:09,970 - lightrag - INFO - edge_degree:query:MATCH (n1:`MARTHA`)-[r]-(n2:`THE LORD`) + RETURN count(r) AS degree:result:1 +2024-10-30 06:54:10,061 - lightrag - INFO - edge_degree:query:MATCH (n1:`SCROOGE`)-[r]-(n2:`THE PARROT`) + RETURN count(r) AS degree:result:1 +2024-10-30 06:54:10,154 - lightrag - INFO - edge_degree:query:MATCH (n1:`CRATCHIT FAMILY`)-[r]-(n2:`TINY TIM`) + RETURN count(r) AS degree:result:1 +2024-10-30 06:54:10,245 - lightrag - INFO - edge_degree:query:MATCH (n1:`MANSION`)-[r]-(n2:`THE GHOST`) + RETURN count(r) AS degree:result:1 +2024-10-30 06:54:10,336 - lightrag - INFO - edge_degree:query:MATCH (n1:`CHRISTMAS DAY`)-[r]-(n2:`CRATCHIT FAMILY`) + RETURN count(r) AS degree:result:1 +2024-10-30 06:54:10,433 - lightrag - INFO - edge_degree:query:MATCH (n1:`SCROOGE`)-[r]-(n2:`THE SCHOOLMASTER`) + RETURN count(r) AS degree:result:1 +2024-10-30 06:54:10,527 - lightrag - INFO - edge_degree:query:MATCH (n1:`THE HUSBAND`)-[r]-(n2:`THE MOTHER`) + RETURN count(r) AS degree:result:1 +2024-10-30 06:54:10,619 - lightrag - INFO - edge_degree:query:MATCH (n1:`SCROOGE`)-[r]-(n2:`WANT`) + RETURN count(r) AS degree:result:1 +2024-10-30 06:54:10,711 - lightrag - INFO - edge_degree:query:MATCH (n1:`EBENEZER SCROOGE`)-[r]-(n2:`THE CLOCK`) + RETURN count(r) AS degree:result:1 +2024-10-30 06:54:10,807 - lightrag - INFO - edge_degree:query:MATCH (n1:`SCROOGE`)-[r]-(n2:`TOPPER`) + RETURN count(r) AS degree:result:1 +2024-10-30 06:54:10,902 - lightrag - INFO - edge_degree:query:MATCH (n1:`SCROOGE`)-[r]-(n2:`THE KNOCKER`) + RETURN count(r) AS degree:result:1 +2024-10-30 06:54:10,998 - lightrag - INFO - edge_degree:query:MATCH (n1:`CHRISTMAS-TIME`)-[r]-(n2:`SCROOGE`) + RETURN count(r) AS degree:result:1 +2024-10-30 06:54:11,093 - lightrag - INFO - edge_degree:query:MATCH (n1:`BOB CRATCHIT`)-[r]-(n2:`PETER`) + RETURN count(r) AS degree:result:1 +2024-10-30 06:54:11,182 - lightrag - INFO - edge_degree:query:MATCH (n1:`MARLEY'S GHOST`)-[r]-(n2:`THE CHAIN`) + RETURN count(r) AS degree:result:1 +2024-10-30 06:54:11,271 - lightrag - INFO - edge_degree:query:MATCH (n1:`BELINDA CRATCHIT`)-[r]-(n2:`CRATCHIT FAMILY`) + RETURN count(r) AS degree:result:1 +2024-10-30 06:54:11,363 - lightrag - INFO - edge_degree:query:MATCH (n1:`RED-FACED GENTLEMAN`)-[r]-(n2:`SCROOGE`) + RETURN count(r) AS degree:result:1 +2024-10-30 06:54:11,458 - lightrag - INFO - edge_degree:query:MATCH (n1:`SCROOGE`)-[r]-(n2:`THE SITTING ROOM`) + RETURN count(r) AS degree:result:1 +2024-10-30 06:54:11,551 - lightrag - INFO - edge_degree:query:MATCH (n1:`CHRISTMAS`)-[r]-(n2:`THE LAMPLIGHTER`) + RETURN count(r) AS degree:result:1 +2024-10-30 06:54:11,642 - lightrag - INFO - edge_degree:query:MATCH (n1:`SCROOGE`)-[r]-(n2:`THE DECEASED MAN`) + RETURN count(r) AS degree:result:1 +2024-10-30 06:54:11,735 - lightrag - INFO - edge_degree:query:MATCH (n1:`SCROOGE`)-[r]-(n2:`THE CASK`) + RETURN count(r) AS degree:result:1 +2024-10-30 06:54:11,742 - lightrag - INFO - Local query uses 60 entites, 20 relations, 3 text units +2024-10-30 06:54:12,410 - lightrag - INFO - get_edge:query: + MATCH (start:`CHRISTMAS`)-[r]->(end:`SCROOGE`) + RETURN properties(r) as edge_properties + LIMIT 1 + :result:{'keywords': '"character development, festive spirit""conflict, holiday spirit""contrast, seasonal significance""disconnection, festive spirit""holiday significance, reflection""holiday significance, transformation""holiday spirit, social critique""nostalgia, reflection""reflection, redemption""rejection, festive spirit""renewal, change""seasonal significance, emotional reflection""transformation, disdain""transformation, festive spirit""transformation, holiday significance""transformation, holiday spirit"', 'weight': 169.0, 'description': '"Christmas becomes a focal point for Scrooge\'s promise to change and embrace life, symbolizing hope and renewal.""Christmas is a central theme that invokes Scrooge\'s memories of his past, his feelings of loneliness, and his desire to connect.""Christmas serves as a focal point for Scrooge\'s emotional reflections on joy and his disconnect from societal celebrations.""Christmas serves as the catalyst for Scrooge\'s transformation, highlighting themes of giving and compassion.""Scrooge expresses disdain for Christmas, viewing it as a burden rather than a celebration.""Scrooge\'s attitude towards Christmas highlights his disconnection from the festive spirit and charity associated with the holiday.""Scrooge\'s character contrasts sharply with the joy of Christmas, highlighting his disdain for the festive season.""Scrooge\'s experience during the Christmas event highlights the transformation of his character and the spirit of the holiday.""Scrooge\'s journey with the Spirit ultimately leads him to reflect on the meaning of Christmas and its impact on human connections.""Scrooge\'s transformation and newfound joy are directly linked to the spirit of Christmas.""Scrooge\'s transformation is centered around the spirit of Christmas, which he learns to embrace and celebrate.""Scrooge\'s views on Christmas evolve as he witnesses the joy and familial love associated with the holiday, marking a shift in his character.""Scrooge reflects on Christmas with a mix of emotions, highlighting its importance in his life and character arc.""Scrooge\'s attitude towards Christmas is one of disdain, setting the stage for his eventual transformation as he confronts the meaning of the holiday.""Scrooge\'s involvement in the Christmas activities represents a significant moment of change in his character, as he becomes more engaged and merry.""Scrooge\'s refusal to celebrate Christmas reflects his overall attitude towards generosity and societal obligations during this festive time.""Scrooge\'s rejection of Christmas embodies his overall discord with the spirit of the holiday, viewing it as a time of financial burden instead of joy.""Scrooge\'s transformation is closely linked to the celebration of Christmas, highlighting themes of giving and joy.""Scrooge\'s transformation is closely tied to the spirit of Christmas, marking a significant personal change during this event."', 'source_id': 'chunk-43c9bee23adfa77aa9dedd22401bba7dchunk-74e2466de2f67fd710ef2f20c0a8d9e0chunk-89777b838d5447c7bd1ec11282c4ee89chunk-e7637ff18c5ded77a68cce0a87883fadchunk-da2472b4ef2a535b62908f14d0fb0ca9chunk-90d5764e301321c087f5a8f78b73a145chunk-91614df5cb74cbe5e109a338a82041e9chunk-91572b3cd42786ba4cb2f180ca25cbf4chunk-8f738cb25d60a7dab782162d9d0a25edchunk-94bea83e7153fc2064aa382b494936a1chunk-54bdd22db1f84a965b5f4c06c9216d8dchunk-8590d9263cd2cd4fa583c432fc54e6c3chunk-99b0ec7f7e006561352b5d65e849611d'} +2024-10-30 06:54:12,504 - lightrag - INFO - get_edge:query: + MATCH (start:`THE CANDLE`)-[r]->(end:`THE FOG AND FROST`) + RETURN properties(r) as edge_properties + LIMIT 1 + :result:{'keywords': '"hope, contrast"', 'weight': 12.0, 'description': '"The Candle symbolizes a flicker of warmth and hope in the bleak setting of Fog and Frost, contrasting the overall atmosphere."', 'source_id': 'chunk-d9aac3484185ac66045df92214d245d5'} +2024-10-30 06:54:12,596 - lightrag - INFO - get_edge:query: + MATCH (start:`SCROOGE`)-[r]->(end:`THE GHOST`) + RETURN properties(r) as edge_properties + LIMIT 1 + :result:{'keywords': '"guidance, emotional exploration""guidance, transformation""memory, influence""rebuke, self-discovery""reflection, guidance""self-reflection, transformation""supernatural encounter, confusion""supernatural guidance, transformation""supernatural interaction, past actions"', 'weight': 78.0, 'description': '"Scrooge interacts with The Ghost of Jacob Marley, which highlights his struggle with the supernatural and his past actions.""Scrooge\'s engagement with The Ghost prompts a significant emotional and psychological transformation as he confronts his past.""The Ghost guides Scrooge through visions of his past, forcing him to confront his choices and their consequences.""The Ghost influences Scrooge\'s reflections on his past and his current emotions regarding Christmas festivities.""The Ghost serves as a catalyst for Scrooge\'s reflections, guiding him to confront his past and feelings about Christmas.""Scrooge\'s interaction with The Ghost leads to significant inner turmoil and contemplation about dreams and reality.""The Ghost influences Scrooge\'s journey by revealing his past, driving the narrative of his redemption.""The Ghost interacts with Scrooge, revealing truths that challenge his perspective on life and death.""The Ghost prompts Scrooge to remember significant moments, driving his emotional exploration of the past."', 'source_id': 'chunk-c7b10789a9cb0af6c553730b29bd9034chunk-43c9bee23adfa77aa9dedd22401bba7dchunk-da2472b4ef2a535b62908f14d0fb0ca9chunk-cb661c37436355ccec2769b1d0350c5fchunk-54bdd22db1f84a965b5f4c06c9216d8dchunk-8590d9263cd2cd4fa583c432fc54e6c3chunk-83ac129dc9b56f84c46760d153d68e93'} +2024-10-30 06:54:12,685 - lightrag - INFO - get_edge:query: + MATCH (start:`MARLEY`)-[r]->(end:`SCROOGE`) + RETURN properties(r) as edge_properties + LIMIT 1 + :result:{'keywords': '"ghostly encounter, transformation""mourning, partnership""partnership, regret""past influence, personal history""past influence, regret""redemption, confrontation""reflection, theme of regret""supernatural connection, past relationships"', 'weight': 65.0, 'description': '"Marley’s influence and past relationship with Scrooge is indicated, suggesting a connection that impacts Scrooge\'s character growth.""Scrooge is deeply affected by Marley\'s death, illustrated through his role as the sole executor and mourner of Marley.""Scrooge reflects on Marley, revealing his past connection and the haunting aspect of Marley\'s death, which influences Scrooge\'s character arc.""Scrooge\'s encounter with Marley’s Ghost serves as a confrontation with his past self and the life choices he regrets, depicting the theme of redemption.""Scrooge and Marley were business partners, and Marley\'s death greatly impacts Scrooge, highlighting themes of loss and regret.""Scrooge encounters Marley’s ghost, which challenges his beliefs and signifies the start of his transformation.""Scrooge reflects on Marley\'s death, indicating the profound effect it had on his life, shaping his current perspective on generosity and the holidays.""Scrooge\'s reflection on Marley underscores the theme of regret and the potential for change in his character\'s journey."', 'source_id': 'chunk-5dac41b3f9eeaf794f0147400b1718cdchunk-89777b838d5447c7bd1ec11282c4ee89chunk-d9aac3484185ac66045df92214d245d5chunk-9c43dac2fcd5b578242d907ea6f8fc7bchunk-843b5b2f944c7413d9ca876e2e2f151f'} +2024-10-30 06:54:12,780 - lightrag - INFO - get_edge:query: + MATCH (start:`MANSION`)-[r]->(end:`SCROOGE`) + RETURN properties(r) as edge_properties + LIMIT 1 + :result:{'keywords': '"symbolism, emotional state"', 'weight': 16.0, 'description': '"The Mansion symbolizes the neglect and decay that parallels Scrooge\'s own emotional state and memories of his past."', 'source_id': 'chunk-8590d9263cd2cd4fa583c432fc54e6c3'} +2024-10-30 06:54:12,873 - lightrag - INFO - get_edge:query: + MATCH (start:`GHOST`)-[r]->(end:`SCROOGE`) + RETURN properties(r) as edge_properties + LIMIT 1 + :result:{'keywords': '"moral lesson, reflection""reflection, self-discovery""spiritual guidance, transformation"', 'weight': 26.0, 'description': '"Scrooge interacts directly with the Ghost, who aims to teach him about the errors of his ways and the importance of caring for others.""The Ghost guides Scrooge through reflections of his past, influencing his journey toward redemption.""The Ghost takes Scrooge on a journey to teach him lessons about generosity and compassion towards others."', 'source_id': 'chunk-359187e7571bda4b0b08b2e0b6581e52chunk-c6c248858d1b13ab7ee9ca13c1aeed6bchunk-e7637ff18c5ded77a68cce0a87883fad'} +2024-10-30 06:54:12,966 - lightrag - INFO - get_edge:query: + MATCH (start:`SCROOGE`)-[r]->(end:`THE MEMORY`) + RETURN properties(r) as edge_properties + LIMIT 1 + :result:{'keywords': '"reflection, impact of past"', 'weight': 16.0, 'description': '"Scrooge\'s memories play a crucial role in shaping his perspective on love and happiness as he confronts his past."', 'source_id': 'chunk-54bdd22db1f84a965b5f4c06c9216d8d'} +2024-10-30 06:54:13,060 - lightrag - INFO - get_edge:query: + MATCH (start:`SCROOGE`)-[r]->(end:`THE GHOST OF CHRISTMAS PAST`) + RETURN properties(r) as edge_properties + LIMIT 1 + :result:{'keywords': '"introspection, memory""reflection, guidance""self-reflection, guidance"', 'weight': 28.0, 'description': '"Scrooge\'s interaction with the Ghost of Christmas Past highlights his journey of self-reflection and struggle with his past decisions.""The Ghost of Christmas Past guides Scrooge through recollections, prompting his introspection about his former self and choices.""The Ghost of Christmas Past helps Scrooge reflect on his past choices, which is crucial for his transformation."', 'source_id': 'chunk-b2f98bc7abb0c67d4c86055c7fd72218chunk-90b95db5c53e4364a6bee36b7aa4d70f'} +2024-10-30 06:54:13,152 - lightrag - INFO - get_edge:query: + MATCH (start:`JACOB MARLEY`)-[r]->(end:`SCROOGE`) + RETURN properties(r) as edge_properties + LIMIT 1 + :result:{'keywords': '"catalyst for change, supernatural guidance""past influence, warning""redemption, influence""redemption, moral lesson""redemption, spiritual influence""self-reflection, legacy""supernatural encounter, past ties""transformation, influence""warning, catalyst""warning, consequence""warning, transformation"', 'weight': 98.0, 'description': '"Jacob Marley influences Scrooge\'s transformation by appearing as a spirit to warn him.""Jacob Marley is the spirit who brings forth the need for Scrooge to change his ways, impacting his character development.""Scrooge confronts Jacob Marley, his former business partner, who returns as a ghost to influence Scrooge\'s perspective on life and his actions.""Scrooge converses with the ghost of Jacob Marley, who tries to guide him toward understanding the importance of compassion and the consequences of his actions.""Scrooge interacts with Jacob Marley, who serves as a critical warning for Scrooge to change his ways before it\'s too late.""Scrooge reflects on Jacob Marley’s past warnings, which serve as a catalyst for his transformation.""Scrooge\'s transformation is prompted by the appearance and message of Jacob Marley, his former business partner.""Jacob Marley warns Scrooge about his fate and the importance of change, acting as a catalyst for Scrooge\'s transformation.""Scrooge acknowledges Jacob Marley, recognizing his former business partner\'s lost opportunities and the implications for his own life.""Scrooge is visited by Jacob Marley, who warns him about his fate and the necessity for personal change to avoid a bleak future.""Scrooge\'s transformation is influenced by Jacob Marley\'s ghost, who represents the consequences of a life poorly lived."', 'source_id': 'chunk-90b95db5c53e4364a6bee36b7aa4d70fchunk-359187e7571bda4b0b08b2e0b6581e52chunk-da2472b4ef2a535b62908f14d0fb0ca9chunk-02baee20cc9463dbe08170a8e1043e32chunk-1aa50206d02ed89418f65f97c6441d1cchunk-91572b3cd42786ba4cb2f180ca25cbf4chunk-cb661c37436355ccec2769b1d0350c5f'} +2024-10-30 06:54:13,243 - lightrag - INFO - get_edge:query: + MATCH (start:`THE CRATCHIT HOUSEHOLD`)-[r]->(end:`THE SUBURBS`) + RETURN properties(r) as edge_properties + LIMIT 1 + :result:{'keywords': '"social commentary, inequality"', 'weight': 12.0, 'description': '"The Suburbs illustrate the challenges faced by families like The Cratchit Household, emphasizing social inequality."', 'source_id': 'chunk-b0f459f5af1c3a5e0b92cbe4ee48b77b'} +2024-10-30 06:54:13,335 - lightrag - INFO - get_edge:query: + MATCH (start:`CHRISTMAS`)-[r]->(end:`THE SPIRIT`) + RETURN properties(r) as edge_properties + LIMIT 1 + :result:{'keywords': '"holiday spirit, compassion""seasonal influence, moral reflection"', 'weight': 34.0, 'description': '"The Spirit connects various scenes to the theme of Christmas, emphasizing its impact on individuals’ attitudes and behaviors.""The Spirit connects various scenes to the theme of Christmas, emphasizing its impact on individuals’ attitudes and behaviors.""The Spirit\'s appearances highlight the themes of Christmas and the importance of compassion and community.""The Spirit\'s appearances highlight the themes of Christmas and the importance of compassion and community."', 'source_id': 'chunk-91614df5cb74cbe5e109a338a82041e9chunk-da2472b4ef2a535b62908f14d0fb0ca9'} +2024-10-30 06:54:13,426 - lightrag - INFO - get_edge:query: + MATCH (start:`JOE`)-[r]->(end:`THE WOMAN`) + RETURN properties(r) as edge_properties + LIMIT 1 + :result:{'keywords': '"conversational dynamics, materialism""dialogue, humor, death""humor, interaction""social interaction, community dynamics"', 'weight': 23.0, 'description': '"Joe and The Woman are engaged in a discussion about the deceased man’s belongings, illustrating their shared perspective on material possessions.""Joe and The Woman engage in a conversation, highlighting community dynamics and common social interactions among friends or acquaintances.""Joe and The Woman engage in dialogue about the deceased\'s belongings, showcasing their interactions and differing attitudes towards death.""Joe and The Woman share a humorous exchange about the bed-curtains, reflecting the jovial spirit of the gathering."', 'source_id': 'chunk-e1f29eeadc1d8ab46dc8a0bbd3c56b64chunk-89777b838d5447c7bd1ec11282c4ee89'} +2024-10-30 06:54:13,523 - lightrag - INFO - get_edge:query: + MATCH (start:`SCROOGE`)-[r]->(end:`SCROOGE'S NIECE`) + RETURN properties(r) as edge_properties + LIMIT 1 + :result:{'keywords': '"family bonds, celebration""family conflict, holiday spirit""family dynamics, transformation""ideological conflict, family dynamics"', 'weight': 30.0, 'description': '"Scrooge observes his niece enjoying the Christmas festivities, which influences his own mood and perspective towards the holiday spirit.""Scrooge\'s Niece expresses indignation towards Scrooge\'s belief that Christmas is a humbug, demonstrating her strong opinions against his views.""Scrooge\'s niece embraces the joyful atmosphere of the celebration, engaging with family and inviting good-natured fun.""Scrooge\'s Niece shows indignation toward Scrooge\'s negativity about Christmas, highlighting the familial tensions between them."', 'source_id': 'chunk-773d0df1dd25c356f7b771d780583e09chunk-43c9bee23adfa77aa9dedd22401bba7d'} +2024-10-30 06:54:13,616 - lightrag - INFO - get_edge:query: + MATCH (start:`SCROOGE`)-[r]->(end:`THE CITY`) + RETURN properties(r) as edge_properties + LIMIT 1 + :result:{'keywords': '"disconnection, personal evolution""reflection, urban life""transformation, community""urban setting, contrast"', 'weight': 26.0, 'description': '"Scrooge\'s reflections in the City highlight his relationship with his past and the contrast of his current life.""Scrooge\'s relationship with The City is marked by detachment, representing his lost connection to his past self and experiences.""Scrooge\'s transformation impacts The City as he learns to embrace Christmas spirit and generosity within his community.""The City serves as a backdrop for Scrooge\'s memories, contrasting the vibrant life he once had with his current isolation."', 'source_id': 'chunk-c6c248858d1b13ab7ee9ca13c1aeed6bchunk-94bea83e7153fc2064aa382b494936a1chunk-bb21d58d36c6306fd8810ddd51c4a971'} +2024-10-30 06:54:13,707 - lightrag - INFO - get_edge:query: + MATCH (start:`GHOST`)-[r]->(end:`SPECTRE`) + RETURN properties(r) as edge_properties + LIMIT 1 + :result:{'keywords': '"identity, motivation"', 'weight': 20.0, 'description': '"The Spectre is synonymous with the Ghost, representing the collective spirit urging Scrooge to change his ways."', 'source_id': 'chunk-359187e7571bda4b0b08b2e0b6581e52'} +2024-10-30 06:54:13,799 - lightrag - INFO - get_edge:query: + MATCH (start:`SCROOGE`)-[r]->(end:`SPIRIT`) + RETURN properties(r) as edge_properties + LIMIT 1 + :result:{'keywords': '"guidance, emotional journey""guidance, personal growth""guidance, reflection""guidance, transformation""personal growth, spiritual journey""reflection, guidance""transformation, mentorship"', 'weight': 74.0, 'description': '"Scrooge engages with the Spirit, who guides him through reflections on his life and warns him of societal issues.""Scrooge learns from the Spirit about the consequences of his actions and the sentiments evoked by death, leading to personal growth.""Scrooge’s interaction with the Spirit emphasizes the emotional weight of his past decisions and feelings as they relate to his transformation.""The Spirit directly influences Scrooge’s transformation and highlights the importance of compassion in human life.""Scrooge interacts with the Spirit, who has come to teach him about the meaning of Christmas and share lessons of generosity.""Scrooge is guided by the Spirit to reflect on the impact of death, learning important lessons about life and legacy.""Scrooge is guided by the Spirit, who prompts him to reflect on his life and its consequences.""Scrooge\'s interactions with the Spirit serve to illuminate his past and its influence on his current self.""The Spirit serves as a guide for Scrooge, showing him visions that lead to his personal transformation and moral awakening."', 'source_id': 'chunk-e7637ff18c5ded77a68cce0a87883fadchunk-02baee20cc9463dbe08170a8e1043e32chunk-83ac129dc9b56f84c46760d153d68e93chunk-843b5b2f944c7413d9ca876e2e2f151fchunk-bb21d58d36c6306fd8810ddd51c4a971'} +2024-10-30 06:54:13,897 - lightrag - INFO - get_edge:query: + MATCH (start:`MARLEY'S FUNERAL`)-[r]->(end:`SCROOGE`) + RETURN properties(r) as edge_properties + LIMIT 1 + :result:{'keywords': '"loss, character journey"', 'weight': 18.0, 'description': '"Marley\'s Funeral signifies the beginning of Scrooge\'s emotional journey, showcasing his reaction to loss and setting the stage for the narrative."', 'source_id': 'chunk-89777b838d5447c7bd1ec11282c4ee89'} +2024-10-30 06:54:13,991 - lightrag - INFO - get_edge:query: + MATCH (start:`IGNORANCE`)-[r]->(end:`SPIRIT`) + RETURN properties(r) as edge_properties + LIMIT 1 + :result:{'keywords': '"social issues, awareness""social warning, awareness"', 'weight': 30.0, 'description': '"The Spirit introduces Ignorance to Scrooge as a representation of societal failures, urging him to acknowledge and address these issues.""The Spirit introduces Ignorance to Scrooge as a representation of societal failures, urging him to acknowledge and address these issues.""The Spirit points out Ignorance, highlighting the need for awareness and responsibility toward societal issues.""The Spirit points out Ignorance, highlighting the need for awareness and responsibility toward societal issues."', 'source_id': 'chunk-02baee20cc9463dbe08170a8e1043e32chunk-e7637ff18c5ded77a68cce0a87883fad'} +2024-10-30 06:54:14,084 - lightrag - INFO - get_edge:query: + MATCH (start:`SCROOGE`)-[r]->(end:`THE SPIRIT`) + RETURN properties(r) as edge_properties + LIMIT 1 + :result:{'keywords': '"guidance, self-reflection""guidance, transformation""introspection, guidance""moral guidance, change""moral guidance, transformation""self-reflection, transformation""supernatural guidance, self-reflection""supernatural intervention, guidance"', 'weight': 93.0, 'description': '"Scrooge engages with the Spirit as it reveals memories that prompt significant self-reflection and consideration of change.""Scrooge is guided by the Spirit, who shows him different scenes related to the joy and struggles of Christmas, aiming to change his heart.""The Spirit challenges Scrooge\'s perspective on life, urging him to consider the implications of his actions in light of death.""The Spirit represents an upcoming change in Scrooge\'s life, aiming to guide him towards redemption.""The Spirit represents moral lessons and urges Scrooge to change his ways for a better future.""Scrooge\'s interaction with The Spirit serves as a pivotal moment for him to reflect on his past decisions and seek wisdom.""The Spirit guides Scrooge through his memories, facilitating his emotional journey and transformation.""The Spirit interacts with Scrooge, guiding him to confront his past and future, emphasizing change and moral growth.""The Spirit is guiding Scrooge through different scenes, aiming to transform his character and perspective on life.""The Spirit serves as the medium for Scrooge\'s journey of self-discovery and accountability."', 'source_id': 'chunk-da2472b4ef2a535b62908f14d0fb0ca9chunk-e1f29eeadc1d8ab46dc8a0bbd3c56b64chunk-91614df5cb74cbe5e109a338a82041e9chunk-91572b3cd42786ba4cb2f180ca25cbf4chunk-f1a4fbcf1ed86864b9bfd5e8dba4c683chunk-8590d9263cd2cd4fa583c432fc54e6c3chunk-b2f98bc7abb0c67d4c86055c7fd72218'} +2024-10-30 06:54:14,174 - lightrag - INFO - get_edge:query: + MATCH (start:`CLOCK`)-[r]->(end:`SCROOGE`) + RETURN properties(r) as edge_properties + LIMIT 1 + :result:{'keywords': '"time symbolism, anxiety"', 'weight': 14.0, 'description': '"Scrooge\'s observations of the Clock reflect his anxiety over time and the supernatural events unfolding around him."', 'source_id': 'chunk-c7b10789a9cb0af6c553730b29bd9034'} +2024-10-30 06:54:14,262 - lightrag - INFO - get_edge:query: + MATCH (start:`SCROOGE`)-[r]->(end:`THE GRATE`) + RETURN properties(r) as edge_properties + LIMIT 1 + :result:{'keywords': '"coldness, minimalism""isolation, setting mood"', 'weight': 12.0, 'description': '"Scrooge\'s small fire in The Grate represents his need for warmth and symbolizes his cold heart initially showing longing for comfort.""The Grate\'s cold fire adds to the bleak setting of Scrooge\'s home, illustrating his disconnection from warmth and comfort before the supernatural events unfold."', 'source_id': 'chunk-9c43dac2fcd5b578242d907ea6f8fc7b'} +2024-10-30 06:54:14,356 - lightrag - INFO - get_edge:query: + MATCH (start:`JOE`)-[r]->(end:`SCROOGE`) + RETURN properties(r) as edge_properties + LIMIT 1 + :result:{'keywords': '"perspective contrast, moral dilemma"', 'weight': 12.0, 'description': '"Joe\'s cynical attitude towards death and belongings contrasts with Scrooge\'s moral horror, creating a tension between their perspectives."', 'source_id': 'chunk-e1f29eeadc1d8ab46dc8a0bbd3c56b64'} +2024-10-30 06:54:14,456 - lightrag - INFO - get_edge:query: + MATCH (start:`SCROOGE`)-[r]->(end:`THE COUNTING-HOUSE`) + RETURN properties(r) as edge_properties + LIMIT 1 + :result:{'keywords': '"work environment, character development""work environment, emotional landscape""work environment, personality reflection"', 'weight': 20.0, 'description': '"Scrooge\'s work environment reflects his personality, being cold and uninviting, mirroring his discontent with life.""The Counting-House is where Scrooge works, illustrating the environment that shapes his bleak personality.""The Counting-House represents Scrooge\'s work environment, which is devoid of warmth, paralleling Scrooge\'s cold demeanor."', 'source_id': 'chunk-d9aac3484185ac66045df92214d245d5chunk-74e2466de2f67fd710ef2f20c0a8d9e0'} +2024-10-30 06:54:14,551 - lightrag - INFO - get_edge:query: + MATCH (start:`SCROOGE`)-[r]->(end:`THE HOUSE`) + RETURN properties(r) as edge_properties + LIMIT 1 + :result:{'keywords': '"haunting, setting influence""setting, atmosphere"', 'weight': 15.0, 'description': '"Scrooge\'s experiences and encounters with Marley occur within The House, which plays a significant role in the haunting atmosphere.""Scrooge\'s experiences with Marley\'s Ghost occur within The House, which plays a crucial role in the haunting atmosphere."', 'source_id': 'chunk-9c43dac2fcd5b578242d907ea6f8fc7b'} +2024-10-30 06:54:14,647 - lightrag - INFO - get_edge:query: + MATCH (start:`SPIRIT`)-[r]->(end:`WANT`) + RETURN properties(r) as edge_properties + LIMIT 1 + :result:{'keywords': '"social issues, need for compassion""social warning, deprivation"', 'weight': 30.0, 'description': '"The Spirit points out Want, symbolizing the dire consequences of neglecting societal needs.""The Spirit points out Want, symbolizing the dire consequences of neglecting societal needs.""The Spirit presents Want along with Ignorance, symbolizing the plight of the less fortunate and appealing for compassion.""The Spirit presents Want along with Ignorance, symbolizing the plight of the less fortunate and appealing for compassion."', 'source_id': 'chunk-02baee20cc9463dbe08170a8e1043e32chunk-e7637ff18c5ded77a68cce0a87883fad'} +2024-10-30 06:54:14,741 - lightrag - INFO - get_edge:query: + MATCH (start:`SCROOGE`)-[r]->(end:`TIM`) + RETURN properties(r) as edge_properties + LIMIT 1 + :result:{'keywords': '"familial connection, emotional depth"', 'weight': 16.0, 'description': '"Scrooge\'s connection to Tim emphasizes emotional depth, reflecting on family and lost connections as part of his character development."', 'source_id': 'chunk-89777b838d5447c7bd1ec11282c4ee89'} +2024-10-30 06:54:14,838 - lightrag - INFO - get_edge:query: + MATCH (start:`FOG`)-[r]->(end:`SCROOGE`) + RETURN properties(r) as edge_properties + LIMIT 1 + :result:{'keywords': '"atmosphere, emotional reflection""obscurity, isolation"', 'weight': 16.0, 'description': '"Fog represents the obscured vision of Scrooge\'s soul and emotions, aligning with his unknowable nature.""The fog obscures vision and symbolizes Scrooge’s cloudy outlook on life, illustrating his isolation from societal warmth."', 'source_id': 'chunk-d9aac3484185ac66045df92214d245d5chunk-74e2466de2f67fd710ef2f20c0a8d9e0'} +2024-10-30 06:54:14,931 - lightrag - INFO - get_edge:query: + MATCH (start:`SCROOGE`)-[r]->(end:`THE CORPSE`) + RETURN properties(r) as edge_properties + LIMIT 1 + :result:{'keywords': '"introspection, life choices"', 'weight': 18.0, 'description': '"Scrooge’s horror upon seeing The Corpse prompts deep reflection on his own life choices and morality."', 'source_id': 'chunk-e1f29eeadc1d8ab46dc8a0bbd3c56b64'} +2024-10-30 06:54:15,030 - lightrag - INFO - get_edge:query: + MATCH (start:`SCROOGE`)-[r]->(end:`TINY TIM`) + RETURN properties(r) as edge_properties + LIMIT 1 + :result:{'keywords': '"generosity, familial love""innocence, hope""personal transformation, empathy""reflection, transformation""transformation, holiday spirit""transformation, mentorship""transformation, redemption"', 'weight': 67.0, 'description': '"Scrooge becomes a father figure to Tiny Tim, showing a deep commitment to his well-being after realizing the importance of family and caring for others.""Scrooge reflects on Tiny Tim and expresses concern for his wellbeing, indicating a pivotal change in his character and attitudes towards the less fortunate.""Scrooge\'s transformation is influenced by his reflections on the impact of Tiny Tim\'s life and death.""Scrooge becomes emotionally affected by Tiny Tim\'s situation, leading him to reflect on his past words and actions regarding the welfare of others.""Scrooge expresses a newfound joy during Christmas, indicating a change in attitude towards the spirit symbolized by Tiny Tim.""Scrooge reflects on Tiny Tim\'s essence and the impact of his potential death, considering how it could prompt him to change his ways.""Scrooge\'s intention to send a large turkey to Bob Cratchit\'s family, particularly to Tiny Tim, shows his emotional connection and desire to help.""Tiny Tim is affected by the family\'s feelings towards Scrooge, and he embodies the hope for joy despite Scrooge\'s unkind nature."', 'source_id': 'chunk-90b95db5c53e4364a6bee36b7aa4d70fchunk-19d72c57ae3408758b18d2568e86dc6bchunk-503f0bfa5453467c7c61d160a3540ecachunk-91572b3cd42786ba4cb2f180ca25cbf4chunk-8f738cb25d60a7dab782162d9d0a25edchunk-94bea83e7153fc2064aa382b494936a1'} +2024-10-30 06:54:15,125 - lightrag - INFO - get_edge:query: + MATCH (start:`CHILD`)-[r]->(end:`SCROOGE`) + RETURN properties(r) as edge_properties + LIMIT 1 + :result:{'keywords': '"self-reflection, past connection"', 'weight': 16.0, 'description': '"Scrooge sees his younger self in the solitary child, sparking deep emotional reflections about his past and choices."', 'source_id': 'chunk-8590d9263cd2cd4fa583c432fc54e6c3'} +2024-10-30 06:54:15,221 - lightrag - INFO - get_edge:query: + MATCH (start:`GHOST OF CHRISTMAS PAST`)-[r]->(end:`SCROOGE`) + RETURN properties(r) as edge_properties + LIMIT 1 + :result:{'keywords': '"reflection, guidance""reflection, past influence""reflection, transformation"', 'weight': 25.0, 'description': '"Scrooge engages with the Ghost of Christmas Past to explore and reflect on his life and choices.""Scrooge engages with the Ghost of Christmas Past to explore his earlier life, seeking insight into his current state.""The Ghost of Christmas Past shows Scrooge experiences from his life that prompt his transformation."', 'source_id': 'chunk-9e3921da66da5d761ab73cd849af6c43chunk-bb21d58d36c6306fd8810ddd51c4a971'} +2024-10-30 06:54:15,312 - lightrag - INFO - get_edge:query: + MATCH (start:`CHRISTMAS EVE`)-[r]->(end:`SCROOGE`) + RETURN properties(r) as edge_properties + LIMIT 1 + :result:{'keywords': '"holiday spirit, character development"', 'weight': 16.0, 'description': '"Scrooge\'s actions and attitudes towards Christmas Eve highlight his disdain for traditional celebrations, setting the tone for his character arc."', 'source_id': 'chunk-d9aac3484185ac66045df92214d245d5'} +2024-10-30 06:54:15,409 - lightrag - INFO - get_edge:query: + MATCH (start:`MARLEY'S GHOST`)-[r]->(end:`SCROOGE`) + RETURN properties(r) as edge_properties + LIMIT 1 + :result:{'keywords': '"confrontation, supernatural experience""reflection, consequence""supernatural confrontation, regret""supernatural encounter, existential crisis""warning, fate"', 'weight': 43.0, 'description': '"Marley\'s Ghost warns Scrooge about the consequences of his actions and the visits of the three spirits, setting the stage for his transformation.""Scrooge is haunted by Marley\'s Ghost, which confronts him as a part of a supernatural occurrence meant to incite fear and reflection on his life choices.""Scrooge is confronted by Marley\'s Ghost, representing the struggle between his disbelief and the ghost\'s insistence on showing the consequences of Scrooge\'s life choices.""Scrooge is directly confronted by Marley\'s Ghost, leading to confusion and existential questioning on his part.""Scrooge reacts to Marley\'s Ghost, reflecting on his past as he is warned about the consequences of his actions."', 'source_id': 'chunk-c7b10789a9cb0af6c553730b29bd9034chunk-9c43dac2fcd5b578242d907ea6f8fc7bchunk-cb661c37436355ccec2769b1d0350c5fchunk-1aa50206d02ed89418f65f97c6441d1c'} +2024-10-30 06:54:15,502 - lightrag - INFO - get_edge:query: + MATCH (start:`CHRISTMAS HOLIDAYS`)-[r]->(end:`SCROOGE`) + RETURN properties(r) as edge_properties + LIMIT 1 + :result:{'keywords': '"transformation, significance of time"', 'weight': 16.0, 'description': '"Christmas Holidays are integral to Scrooge\'s journey, representing the time of year that prompts his change and reinstates joy."', 'source_id': 'chunk-e7637ff18c5ded77a68cce0a87883fad'} +2024-10-30 06:54:15,599 - lightrag - INFO - get_edge:query: + MATCH (start:`JACOB`)-[r]->(end:`SCROOGE`) + RETURN properties(r) as edge_properties + LIMIT 1 + :result:{'keywords': '"past reflections, moral lesson""reflection, past relationship"', 'weight': 16.0, 'description': '"Scrooge reflects on his past relationship with Jacob, influenced by feelings of guilt and loss after Jacob\'s death.""Scrooge reflects on his relationship with Jacob, understanding the past implications of his death for his own future."', 'source_id': 'chunk-f1a4fbcf1ed86864b9bfd5e8dba4c683'} +2024-10-30 06:54:15,692 - lightrag - INFO - get_edge:query: + MATCH (start:`ALI BABA`)-[r]->(end:`ROBIN CRUSOE`) + RETURN properties(r) as edge_properties + LIMIT 1 + :result:{'keywords': '"literary connection, childhood memories"', 'weight': 14.0, 'description': '"Both Ali Baba and Robin Crusoe represent figures from stories that shaped Scrooge\'s childhood memories and sentiments towards Christmas."', 'source_id': 'chunk-8590d9263cd2cd4fa583c432fc54e6c3'} +2024-10-30 06:54:15,789 - lightrag - INFO - get_edge:query: + MATCH (start:`CITY`)-[r]->(end:`SPIRIT`) + RETURN properties(r) as edge_properties + LIMIT 1 + :result:{'keywords': '"atmospheric change, reality"', 'weight': 12.0, 'description': '"The Spirit’s presence affects the atmosphere of the City, showcasing the stark realities of life and death surrounding Scrooge."', 'source_id': 'chunk-02baee20cc9463dbe08170a8e1043e32'} +2024-10-30 06:54:15,883 - lightrag - INFO - get_edge:query: + MATCH (start:`CAROLINE`)-[r]->(end:`HOPE`) + RETURN properties(r) as edge_properties + LIMIT 1 + :result:{'keywords': '"emotional resilience, motivation"', 'weight': 16.0, 'description': '"Hope influences Caroline\'s reactions and actions throughout the story, serving as both a motivator and a source of inner conflict."', 'source_id': 'chunk-83ac129dc9b56f84c46760d153d68e93'} +2024-10-30 06:54:15,978 - lightrag - INFO - get_edge:query: + MATCH (start:`CHILD`)-[r]->(end:`THE SPIRIT`) + RETURN properties(r) as edge_properties + LIMIT 1 + :result:{'keywords': '"remembrance, neglect"', 'weight': 16.0, 'description': '"The Spirit points Scrooge to the Child, emphasizing themes of neglect, remembrance, and the importance of past experiences."', 'source_id': 'chunk-8590d9263cd2cd4fa583c432fc54e6c3'} +2024-10-30 06:54:16,079 - lightrag - INFO - get_edge:query: + MATCH (start:`GRAVE`)-[r]->(end:`SCROOGE`) + RETURN properties(r) as edge_properties + LIMIT 1 + :result:{'keywords': '"mortality, reflection"', 'weight': 20.0, 'description': '"Scrooge is confronted with his own grave, symbolizing the ultimate outcome of his current lifestyle and actions."', 'source_id': 'chunk-91572b3cd42786ba4cb2f180ca25cbf4'} +2024-10-30 06:54:16,169 - lightrag - INFO - get_edge:query: + MATCH (start:`CHURCH`)-[r]->(end:`SCROOGE`) + RETURN properties(r) as edge_properties + LIMIT 1 + :result:{'keywords': '"community, contrast"', 'weight': 16.0, 'description': '"The church symbolizes the community and settings of Scrooge\'s past, highlighting the contrast between then and now."', 'source_id': 'chunk-bb21d58d36c6306fd8810ddd51c4a971'} +2024-10-30 06:54:16,265 - lightrag - INFO - get_edge:query: + MATCH (start:`SCROOGE`)-[r]->(end:`THE DECEASED MAN`) + RETURN properties(r) as edge_properties + LIMIT 1 + :result:{'keywords': '"moral reflection, consequence"', 'weight': 18.0, 'description': '"Scrooge reflects on the life and death of The Deceased Man, prompting introspection about his own life choices."', 'source_id': 'chunk-e1f29eeadc1d8ab46dc8a0bbd3c56b64'} +2024-10-30 06:54:16,362 - lightrag - INFO - get_edge:query: + MATCH (start:`MARTHA CRATCHIT`)-[r]->(end:`THE COUNTESS`) + RETURN properties(r) as edge_properties + LIMIT 1 + :result:{'keywords': '"social aspirations, class contrast"', 'weight': 10.0, 'description': '"Martha’s mention of having seen the Countess represents her connection to higher social circles and dreams beyond her current situation."', 'source_id': 'chunk-19d72c57ae3408758b18d2568e86dc6b'} +2024-10-30 06:54:16,454 - lightrag - INFO - get_edge:query: + MATCH (start:`BOB CRATCHIT`)-[r]->(end:`TINY TIM`) + RETURN properties(r) as edge_properties + LIMIT 1 + :result:{'keywords': '"family bond, care""family bond, father-son relationship""family bond, love""family love, vulnerability""family, care""family, caregiving""family, love struggles""family, struggle""family, support""father-son bond, care""father-son relationship, care""parental love, sorrow""parenting, hope"', 'weight': 119.0, 'description': '"Bob Cratchit deeply cares for Tiny Tim, demonstrating emotional support and love, especially in moments of distress.""Bob Cratchit expresses love and concern for his son Tiny Tim during the Christmas dinner, highlighting a strong familial bond.""Bob Cratchit is Tiny Tim\'s father, and the turkey Scrooge plans to send will impact Tiny Tim\'s well-being.""Bob Cratchit is Tiny Tim\'s father, and their relationship highlights the theme of family struggle and love, especially during Christmas.""Bob Cratchit shows deep care for Tiny Tim, helping him and expressing pride in his strength and character despite challenges.""Bob Cratchit\'s concern for Tiny Tim illustrates the deep familial love and the challenges facing the Cratchit family.""Bob Cratchit is a father figure to Tiny Tim, who carries both hope and concern for his child\'s future health and well-being.""Bob Cratchit is the father of Tiny Tim, showcasing familial love and challenges faced by the Cratchit family.""Bob Cratchit is the father of Tiny Tim, showing the importance of family dynamics and care in their lives.""Bob Cratchit shows affection for Tiny Tim, often expressing concern for his health and trying to keep him close during the Christmas celebration.""Bob Cratchit shows deep care for Tiny Tim, supporting him and expressing pride in his resilience, especially regarding Tiny Tim\'s reflective thoughts on Christmas.""Bob Cratchit shows deep concern and love for his son, Tiny Tim, highlighting the family dynamics and attachment in their household.""Bob Cratchit shows deep love and sorrow for Tiny Tim, reflecting a father\'s bond with his child.""Bob is the father of Tiny Tim, who requires support and care, emphasizing themes of family and responsibility."', 'source_id': 'chunk-90b95db5c53e4364a6bee36b7aa4d70fchunk-503f0bfa5453467c7c61d160a3540ecachunk-91572b3cd42786ba4cb2f180ca25cbf4chunk-9e3921da66da5d761ab73cd849af6c43chunk-94bea83e7153fc2064aa382b494936a1chunk-83ac129dc9b56f84c46760d153d68e93chunk-7e2e7ebcc19a53b399dc03aded4743e7chunk-1d4b58de5429cd1261370c231c8673e8'} +2024-10-30 06:54:16,548 - lightrag - INFO - get_edge:query: + MATCH (start:`SCROOGE`)-[r]->(end:`THE WINDOW`) + RETURN properties(r) as edge_properties + LIMIT 1 + :result:{'keywords': '"curiosity, fear"', 'weight': 10.0, 'description': '"Scrooge approaches The Window, which acts as a portal to the outside world and the supernatural, illustrating his curiosity and fear."', 'source_id': 'chunk-cb661c37436355ccec2769b1d0350c5f'} +2024-10-30 06:54:16,640 - lightrag - INFO - get_edge:query: + MATCH (start:`SCROOGE`)-[r]->(end:`THE GHOST OF CHRISTMAS YET TO COME`) + RETURN properties(r) as edge_properties + LIMIT 1 + :result:{'keywords': '"consequence, introspection""consequences, change""consequences, fear""guidance, self-confrontation"', 'weight': 39.0, 'description': '"The Ghost guides Scrooge to confront his potential future that threatens his existence.""The Ghost is critical in revealing the consequences of Scrooge\'s life choices, pushing for change.""The Ghost of Christmas Yet to Come presents Scrooge with a vision of his possible future, instilling fear and prompting change.""The Ghost of Christmas Yet to Come shows Scrooge the consequences of his life choices, prompting introspection and desire for change."', 'source_id': 'chunk-91572b3cd42786ba4cb2f180ca25cbf4chunk-90b95db5c53e4364a6bee36b7aa4d70f'} +2024-10-30 06:54:16,734 - lightrag - INFO - get_edge:query: + MATCH (start:`MANSION`)-[r]->(end:`THE GHOST`) + RETURN properties(r) as edge_properties + LIMIT 1 + :result:{'keywords': '"guidance, contrast"', 'weight': 18.0, 'description': '"The Ghost guides Scrooge through the Mansion, illustrating the contrast between past warmth and present decay."', 'source_id': 'chunk-8590d9263cd2cd4fa583c432fc54e6c3'} +2024-10-30 06:54:16,824 - lightrag - INFO - get_edge:query: + MATCH (start:`SCROOGE`)-[r]->(end:`THE FOG AND FROST`) + RETURN properties(r) as edge_properties + LIMIT 1 + :result:{'keywords': '"atmosphere, emotional coldness"', 'weight': 14.0, 'description': '"The Fog and Frost enveloping Scrooge\'s home reflect the chilling atmosphere of his life and his emotional coldness."', 'source_id': 'chunk-d9aac3484185ac66045df92214d245d5'} +2024-10-30 06:54:16,920 - lightrag - INFO - get_edge:query: + MATCH (start:`FEZZIWIG`)-[r]->(end:`SCROOGE`) + RETURN properties(r) as edge_properties + LIMIT 1 + :result:{'keywords': '"contrast, character foil""kindness, mentorship""mentor figure, positive influence""nostalgia, contrast""reflection, influence"', 'weight': 43.0, 'description': '"Fezziwig is a significant figure in Scrooge\'s past, illustrating a contrast between Scrooge\'s current miserly demeanor and Fezziwig\'s jovial nature.""Fezziwig represents the joyful side of business and celebration, contrasting with Scrooge\'s miserly nature and serving as a foil to Scrooge\'s character development.""Scrooge reflects positively on Fezziwig\'s past actions, acknowledging the happiness and gratitude he inspired in people.""Scrooge reminisces about Fezziwig\'s kindness during his apprenticeship, comparing his past self to his current state.""Scrooge reminisces about Fezziwig\'s ball, reflecting on the contrast between his past happiness and present isolation."', 'source_id': 'chunk-b2f98bc7abb0c67d4c86055c7fd72218chunk-c6c248858d1b13ab7ee9ca13c1aeed6bchunk-89777b838d5447c7bd1ec11282c4ee89'} +2024-10-30 06:54:17,016 - lightrag - INFO - get_edge:query: + MATCH (start:`CHRISTMAS EVES`)-[r]->(end:`SCROOGE`) + RETURN properties(r) as edge_properties + LIMIT 1 + :result:{'keywords': '"time of reflection, redemption"', 'weight': 14.0, 'description': '"Christmas Eves symbolize a critical time for self-reflection and understanding one\'s past decisions, linking to Scrooge\'s journey of redemption."', 'source_id': 'chunk-359187e7571bda4b0b08b2e0b6581e52'} +2024-10-30 06:54:17,111 - lightrag - INFO - get_edge:query: + MATCH (start:`THE CRATCHIT HOUSE`)-[r]->(end:`THE DEBT`) + RETURN properties(r) as edge_properties + LIMIT 1 + :result:{'keywords': '"financial burden, atmosphere"', 'weight': 18.0, 'description': '"The Debt looms over The Cratchit House, contributing to the emotional atmosphere and fears of its inhabitants during the story."', 'source_id': 'chunk-83ac129dc9b56f84c46760d153d68e93'} +2024-10-30 06:54:17,206 - lightrag - INFO - get_edge:query: + MATCH (start:`SPIRIT`)-[r]->(end:`THE EVENT OF DEATH`) + RETURN properties(r) as edge_properties + LIMIT 1 + :result:{'keywords': '"emotional impact, mortality"', 'weight': 16.0, 'description': '"The Spirit highlights the emotional repercussions of The Event of Death, demonstrating the profound effects on those left behind."', 'source_id': 'chunk-83ac129dc9b56f84c46760d153d68e93'} +2024-10-30 06:54:17,296 - lightrag - INFO - get_edge:query: + MATCH (start:`THE LIGHTHOUSE`)-[r]->(end:`THE WAVE`) + RETURN properties(r) as edge_properties + LIMIT 1 + :result:{'keywords': '"struggle, isolation"', 'weight': 14.0, 'description': '"The Wave\'s constant battering of the Lighthouse highlights the isolation and challenges faced by those in such remote environments."', 'source_id': 'chunk-91614df5cb74cbe5e109a338a82041e9'} +2024-10-30 06:54:17,388 - lightrag - INFO - get_edge:query: + MATCH (start:`SCROOGE`)-[r]->(end:`THE DARKNESS`) + RETURN properties(r) as edge_properties + LIMIT 1 + :result:{'keywords': '"internal struggle, unknown"', 'weight': 12.0, 'description': '"Scrooge finds himself enveloped by The Darkness, representing his internal struggle and the unknown future he faces."', 'source_id': 'chunk-cb661c37436355ccec2769b1d0350c5f'} +2024-10-30 06:54:17,483 - lightrag - INFO - get_edge:query: + MATCH (start:`SCROOGE`)-[r]->(end:`THE BEAUTIFUL YOUNG GIRL`) + RETURN properties(r) as edge_properties + LIMIT 1 + :result:{'keywords': '"nostalgia, lost love"', 'weight': 16.0, 'description': '"Scrooge reflects on his past relationship with the young girl, which holds significance in understanding his character\'s regrets."', 'source_id': 'chunk-54bdd22db1f84a965b5f4c06c9216d8d'} +2024-10-30 06:54:17,577 - lightrag - INFO - get_edge:query: + MATCH (start:`BOB CRATCHIT`)-[r]->(end:`THE COUNTING-HOUSE CLERK`) + RETURN properties(r) as edge_properties + LIMIT 1 + :result:{'keywords': '"workforce dynamics, character contrast"', 'weight': 12.0, 'description': '"Bob Cratchit and The Counting-House Clerk represent the working class under Scrooge\'s employment, showcasing different character traits in the context of their work."', 'source_id': 'chunk-d9aac3484185ac66045df92214d245d5'} +2024-10-30 06:54:17,670 - lightrag - INFO - get_edge:query: + MATCH (start:`MARKET-TOWN`)-[r]->(end:`SCROOGE`) + RETURN properties(r) as edge_properties + LIMIT 1 + :result:{'keywords': '"memory, childhood""nostalgia, memory"', 'weight': 15.0, 'description': '"Scrooge encounters the market-town in his memories, triggering feelings of recognition and emotional reflection.""Scrooge recognizes the Market-Town, eliciting fond memories from his childhood and emphasizing his emotional response to the past."', 'source_id': 'chunk-bb21d58d36c6306fd8810ddd51c4a971'} +2024-10-30 06:54:17,762 - lightrag - INFO - get_edge:query: + MATCH (start:`SCROOGE`)-[r]->(end:`THE PHANTOM`) + RETURN properties(r) as edge_properties + LIMIT 1 + :result:{'keywords': '"guidance, reflection""guidance, self-reflection"', 'weight': 17.0, 'description': '"Scrooge interacts with the Phantom, which guides him through reflections on his life and future, emphasizing his journey of change.""The Phantom interacts with Scrooge, pointing him towards the importance of reflections on mortality and social connections."', 'source_id': 'chunk-f1a4fbcf1ed86864b9bfd5e8dba4c683'} +2024-10-30 06:54:17,855 - lightrag - INFO - get_edge:query: + MATCH (start:`COLD WEATHER`)-[r]->(end:`SCROOGE`) + RETURN properties(r) as edge_properties + LIMIT 1 + :result:{'keywords': '"atmosphere, personality mirror"', 'weight': 18.0, 'description': '"The cold weather reflects Scrooge\'s icy demeanor, emphasizing his negative attitude towards life and others."', 'source_id': 'chunk-74e2466de2f67fd710ef2f20c0a8d9e0'} +2024-10-30 06:54:17,948 - lightrag - INFO - get_edge:query: + MATCH (start:`FELLOW-BEINGS`)-[r]->(end:`SCROOGE`) + RETURN properties(r) as edge_properties + LIMIT 1 + :result:{'keywords': '"neglect, realization"', 'weight': 16.0, 'description': '"Scrooge is confronted with his past choices to ignore Fellow-beings, leading to a realization of his moral failures."', 'source_id': 'chunk-359187e7571bda4b0b08b2e0b6581e52'} +2024-10-30 06:54:18,045 - lightrag - INFO - edge_degree:query:MATCH (n1:`CHRISTMAS`)-[r]-(n2:`SCROOGE`) + RETURN count(r) AS degree:result:1 +2024-10-30 06:54:18,140 - lightrag - INFO - edge_degree:query:MATCH (n1:`THE CANDLE`)-[r]-(n2:`THE FOG AND FROST`) + RETURN count(r) AS degree:result:1 +2024-10-30 06:54:18,234 - lightrag - INFO - edge_degree:query:MATCH (n1:`SCROOGE`)-[r]-(n2:`THE GHOST`) + RETURN count(r) AS degree:result:1 +2024-10-30 06:54:18,324 - lightrag - INFO - edge_degree:query:MATCH (n1:`MARLEY`)-[r]-(n2:`SCROOGE`) + RETURN count(r) AS degree:result:1 +2024-10-30 06:54:18,416 - lightrag - INFO - edge_degree:query:MATCH (n1:`MANSION`)-[r]-(n2:`SCROOGE`) + RETURN count(r) AS degree:result:1 +2024-10-30 06:54:18,507 - lightrag - INFO - edge_degree:query:MATCH (n1:`GHOST`)-[r]-(n2:`SCROOGE`) + RETURN count(r) AS degree:result:1 +2024-10-30 06:54:18,600 - lightrag - INFO - edge_degree:query:MATCH (n1:`SCROOGE`)-[r]-(n2:`THE MEMORY`) + RETURN count(r) AS degree:result:1 +2024-10-30 06:54:18,692 - lightrag - INFO - edge_degree:query:MATCH (n1:`SCROOGE`)-[r]-(n2:`THE GHOST OF CHRISTMAS PAST`) + RETURN count(r) AS degree:result:1 +2024-10-30 06:54:18,785 - lightrag - INFO - edge_degree:query:MATCH (n1:`JACOB MARLEY`)-[r]-(n2:`SCROOGE`) + RETURN count(r) AS degree:result:1 +2024-10-30 06:54:18,877 - lightrag - INFO - edge_degree:query:MATCH (n1:`THE CRATCHIT HOUSEHOLD`)-[r]-(n2:`THE SUBURBS`) + RETURN count(r) AS degree:result:1 +2024-10-30 06:54:18,971 - lightrag - INFO - edge_degree:query:MATCH (n1:`CHRISTMAS`)-[r]-(n2:`THE SPIRIT`) + RETURN count(r) AS degree:result:1 +2024-10-30 06:54:19,067 - lightrag - INFO - edge_degree:query:MATCH (n1:`JOE`)-[r]-(n2:`THE WOMAN`) + RETURN count(r) AS degree:result:1 +2024-10-30 06:54:19,158 - lightrag - INFO - edge_degree:query:MATCH (n1:`SCROOGE`)-[r]-(n2:`SCROOGE'S NIECE`) + RETURN count(r) AS degree:result:1 +2024-10-30 06:54:19,249 - lightrag - INFO - edge_degree:query:MATCH (n1:`SCROOGE`)-[r]-(n2:`THE CITY`) + RETURN count(r) AS degree:result:1 +2024-10-30 06:54:19,339 - lightrag - INFO - edge_degree:query:MATCH (n1:`GHOST`)-[r]-(n2:`SPECTRE`) + RETURN count(r) AS degree:result:1 +2024-10-30 06:54:19,428 - lightrag - INFO - edge_degree:query:MATCH (n1:`SCROOGE`)-[r]-(n2:`SPIRIT`) + RETURN count(r) AS degree:result:1 +2024-10-30 06:54:19,521 - lightrag - INFO - edge_degree:query:MATCH (n1:`MARLEY'S FUNERAL`)-[r]-(n2:`SCROOGE`) + RETURN count(r) AS degree:result:1 +2024-10-30 06:54:19,617 - lightrag - INFO - edge_degree:query:MATCH (n1:`IGNORANCE`)-[r]-(n2:`SPIRIT`) + RETURN count(r) AS degree:result:1 +2024-10-30 06:54:19,710 - lightrag - INFO - edge_degree:query:MATCH (n1:`SCROOGE`)-[r]-(n2:`THE SPIRIT`) + RETURN count(r) AS degree:result:1 +2024-10-30 06:54:19,804 - lightrag - INFO - edge_degree:query:MATCH (n1:`CLOCK`)-[r]-(n2:`SCROOGE`) + RETURN count(r) AS degree:result:1 +2024-10-30 06:54:19,899 - lightrag - INFO - edge_degree:query:MATCH (n1:`SCROOGE`)-[r]-(n2:`THE GRATE`) + RETURN count(r) AS degree:result:1 +2024-10-30 06:54:19,990 - lightrag - INFO - edge_degree:query:MATCH (n1:`JOE`)-[r]-(n2:`SCROOGE`) + RETURN count(r) AS degree:result:1 +2024-10-30 06:54:20,083 - lightrag - INFO - edge_degree:query:MATCH (n1:`SCROOGE`)-[r]-(n2:`THE COUNTING-HOUSE`) + RETURN count(r) AS degree:result:1 +2024-10-30 06:54:20,173 - lightrag - INFO - edge_degree:query:MATCH (n1:`SCROOGE`)-[r]-(n2:`THE HOUSE`) + RETURN count(r) AS degree:result:1 +2024-10-30 06:54:20,262 - lightrag - INFO - edge_degree:query:MATCH (n1:`SPIRIT`)-[r]-(n2:`WANT`) + RETURN count(r) AS degree:result:1 +2024-10-30 06:54:20,358 - lightrag - INFO - edge_degree:query:MATCH (n1:`SCROOGE`)-[r]-(n2:`TIM`) + RETURN count(r) AS degree:result:1 +2024-10-30 06:54:20,453 - lightrag - INFO - edge_degree:query:MATCH (n1:`FOG`)-[r]-(n2:`SCROOGE`) + RETURN count(r) AS degree:result:1 +2024-10-30 06:54:20,544 - lightrag - INFO - edge_degree:query:MATCH (n1:`SCROOGE`)-[r]-(n2:`THE CORPSE`) + RETURN count(r) AS degree:result:1 +2024-10-30 06:54:20,638 - lightrag - INFO - edge_degree:query:MATCH (n1:`SCROOGE`)-[r]-(n2:`TINY TIM`) + RETURN count(r) AS degree:result:1 +2024-10-30 06:54:20,727 - lightrag - INFO - edge_degree:query:MATCH (n1:`CHILD`)-[r]-(n2:`SCROOGE`) + RETURN count(r) AS degree:result:1 +2024-10-30 06:54:20,821 - lightrag - INFO - edge_degree:query:MATCH (n1:`GHOST OF CHRISTMAS PAST`)-[r]-(n2:`SCROOGE`) + RETURN count(r) AS degree:result:1 +2024-10-30 06:54:20,914 - lightrag - INFO - edge_degree:query:MATCH (n1:`CHRISTMAS EVE`)-[r]-(n2:`SCROOGE`) + RETURN count(r) AS degree:result:1 +2024-10-30 06:54:21,010 - lightrag - INFO - edge_degree:query:MATCH (n1:`MARLEY'S GHOST`)-[r]-(n2:`SCROOGE`) + RETURN count(r) AS degree:result:1 +2024-10-30 06:54:21,106 - lightrag - INFO - edge_degree:query:MATCH (n1:`CHRISTMAS HOLIDAYS`)-[r]-(n2:`SCROOGE`) + RETURN count(r) AS degree:result:1 +2024-10-30 06:54:21,198 - lightrag - INFO - edge_degree:query:MATCH (n1:`JACOB`)-[r]-(n2:`SCROOGE`) + RETURN count(r) AS degree:result:1 +2024-10-30 06:54:21,292 - lightrag - INFO - edge_degree:query:MATCH (n1:`ALI BABA`)-[r]-(n2:`ROBIN CRUSOE`) + RETURN count(r) AS degree:result:1 +2024-10-30 06:54:21,383 - lightrag - INFO - edge_degree:query:MATCH (n1:`CITY`)-[r]-(n2:`SPIRIT`) + RETURN count(r) AS degree:result:1 +2024-10-30 06:54:21,479 - lightrag - INFO - edge_degree:query:MATCH (n1:`CAROLINE`)-[r]-(n2:`HOPE`) + RETURN count(r) AS degree:result:1 +2024-10-30 06:54:21,578 - lightrag - INFO - edge_degree:query:MATCH (n1:`CHILD`)-[r]-(n2:`THE SPIRIT`) + RETURN count(r) AS degree:result:1 +2024-10-30 06:54:21,673 - lightrag - INFO - edge_degree:query:MATCH (n1:`GRAVE`)-[r]-(n2:`SCROOGE`) + RETURN count(r) AS degree:result:1 +2024-10-30 06:54:21,768 - lightrag - INFO - edge_degree:query:MATCH (n1:`CHURCH`)-[r]-(n2:`SCROOGE`) + RETURN count(r) AS degree:result:1 +2024-10-30 06:54:21,866 - lightrag - INFO - edge_degree:query:MATCH (n1:`SCROOGE`)-[r]-(n2:`THE DECEASED MAN`) + RETURN count(r) AS degree:result:1 +2024-10-30 06:54:21,964 - lightrag - INFO - edge_degree:query:MATCH (n1:`MARTHA CRATCHIT`)-[r]-(n2:`THE COUNTESS`) + RETURN count(r) AS degree:result:1 +2024-10-30 06:54:22,062 - lightrag - INFO - edge_degree:query:MATCH (n1:`BOB CRATCHIT`)-[r]-(n2:`TINY TIM`) + RETURN count(r) AS degree:result:1 +2024-10-30 06:54:22,156 - lightrag - INFO - edge_degree:query:MATCH (n1:`SCROOGE`)-[r]-(n2:`THE WINDOW`) + RETURN count(r) AS degree:result:1 +2024-10-30 06:54:22,249 - lightrag - INFO - edge_degree:query:MATCH (n1:`SCROOGE`)-[r]-(n2:`THE GHOST OF CHRISTMAS YET TO COME`) + RETURN count(r) AS degree:result:1 +2024-10-30 06:54:22,342 - lightrag - INFO - edge_degree:query:MATCH (n1:`MANSION`)-[r]-(n2:`THE GHOST`) + RETURN count(r) AS degree:result:1 +2024-10-30 06:54:22,435 - lightrag - INFO - edge_degree:query:MATCH (n1:`SCROOGE`)-[r]-(n2:`THE FOG AND FROST`) + RETURN count(r) AS degree:result:1 +2024-10-30 06:54:22,528 - lightrag - INFO - edge_degree:query:MATCH (n1:`FEZZIWIG`)-[r]-(n2:`SCROOGE`) + RETURN count(r) AS degree:result:1 +2024-10-30 06:54:22,619 - lightrag - INFO - edge_degree:query:MATCH (n1:`CHRISTMAS EVES`)-[r]-(n2:`SCROOGE`) + RETURN count(r) AS degree:result:1 +2024-10-30 06:54:22,714 - lightrag - INFO - edge_degree:query:MATCH (n1:`THE CRATCHIT HOUSE`)-[r]-(n2:`THE DEBT`) + RETURN count(r) AS degree:result:1 +2024-10-30 06:54:22,807 - lightrag - INFO - edge_degree:query:MATCH (n1:`SPIRIT`)-[r]-(n2:`THE EVENT OF DEATH`) + RETURN count(r) AS degree:result:1 +2024-10-30 06:54:22,899 - lightrag - INFO - edge_degree:query:MATCH (n1:`THE LIGHTHOUSE`)-[r]-(n2:`THE WAVE`) + RETURN count(r) AS degree:result:1 +2024-10-30 06:54:22,991 - lightrag - INFO - edge_degree:query:MATCH (n1:`SCROOGE`)-[r]-(n2:`THE DARKNESS`) + RETURN count(r) AS degree:result:1 +2024-10-30 06:54:23,087 - lightrag - INFO - edge_degree:query:MATCH (n1:`SCROOGE`)-[r]-(n2:`THE BEAUTIFUL YOUNG GIRL`) + RETURN count(r) AS degree:result:1 +2024-10-30 06:54:23,181 - lightrag - INFO - edge_degree:query:MATCH (n1:`BOB CRATCHIT`)-[r]-(n2:`THE COUNTING-HOUSE CLERK`) + RETURN count(r) AS degree:result:1 +2024-10-30 06:54:23,272 - lightrag - INFO - edge_degree:query:MATCH (n1:`MARKET-TOWN`)-[r]-(n2:`SCROOGE`) + RETURN count(r) AS degree:result:1 +2024-10-30 06:54:23,361 - lightrag - INFO - edge_degree:query:MATCH (n1:`SCROOGE`)-[r]-(n2:`THE PHANTOM`) + RETURN count(r) AS degree:result:1 +2024-10-30 06:54:23,451 - lightrag - INFO - edge_degree:query:MATCH (n1:`COLD WEATHER`)-[r]-(n2:`SCROOGE`) + RETURN count(r) AS degree:result:1 +2024-10-30 06:54:23,542 - lightrag - INFO - edge_degree:query:MATCH (n1:`FELLOW-BEINGS`)-[r]-(n2:`SCROOGE`) + RETURN count(r) AS degree:result:1 +2024-10-30 06:54:23,631 - lightrag - INFO - get_node:query:MATCH (n:`FOG`) RETURN n:result:"Fog is a weather phenomenon that adds to the bleak atmosphere, reflecting the obscurity and confusion in Scrooge\'s life.""Fog represents the obscured visibility and confusion in Scrooge\'s surroundings, enhancing the atmosphere of uncertainty and apprehension.""Fog represents the obscurity and isolation in the environment, mirroring Scrooge’s emotional distance and isolation from society.""Fog represents the obscured visibility and confusion in Scrooge\'s surroundings, enhancing the atmosphere of uncertainty and apprehension.""Fog represents the obscurity and isolation in the environment, mirroring Scrooge’s emotional distance and isolation from society.""Fog represents the obscured visibility and confusion in Scrooge\'s surroundings, enhancing the atmosphere of uncertainty and apprehension.""Fog represents the obscurity and isolation in the environment, mirroring Scrooge’s emotional distance and isolation from society.""Fog represents the obscured visibility and confusion in Scrooge\'s surroundings, enhancing the atmosphere of uncertainty and apprehension.""Fog represents the obscurity and isolation in the environment, mirroring Scrooge’s emotional distance and isolation from society.""Fog represents the obscured visibility and confusion in Scrooge\'s surroundings, enhancing the atmosphere of uncertainty and apprehension.""Fog represents the obscurity and isolation in the environment, mirroring Scrooge’s emotional distance and isolation from society."', 'source_id': 'chunk-c7b10789a9cb0af6c553730b29bd9034chunk-d9aac3484185ac66045df92214d245d5chunk-74e2466de2f67fd710ef2f20c0a8d9e0'}> +2024-10-30 06:54:23,720 - lightrag - INFO - get_node:query:MATCH (n:`THE GHOST OF CHRISTMAS YET TO COME`) RETURN n:result:"The Ghost of Christmas Yet to Come is a spirit that shows Scrooge the consequences of his actions, pointing toward his eventual demise.""The Ghost of Christmas Yet to Come reveals the potential consequences of Scrooge\'s current life choices, emphasizing themes of mortality and legacy.""The Ghost of Christmas Yet to Come is a spirit that shows Scrooge the consequences of his actions, pointing toward his eventual demise.""The Ghost of Christmas Yet to Come reveals the potential consequences of Scrooge\'s current life choices, emphasizing themes of mortality and legacy.""The Ghost of Christmas Yet to Come is a spirit that shows Scrooge the consequences of his actions, pointing toward his eventual demise.""The Ghost of Christmas Yet to Come reveals the potential consequences of Scrooge\'s current life choices, emphasizing themes of mortality and legacy.""The Ghost of Christmas Yet to Come is a spirit that shows Scrooge the consequences of his actions, pointing toward his eventual demise.""The Ghost of Christmas Yet to Come reveals the potential consequences of Scrooge\'s current life choices, emphasizing themes of mortality and legacy.""The Ghost of Christmas Yet to Come is a spirit that shows Scrooge the consequences of his actions, pointing toward his eventual demise.""The Ghost of Christmas Yet to Come reveals the potential consequences of Scrooge\'s current life choices, emphasizing themes of mortality and legacy."', 'source_id': 'chunk-91572b3cd42786ba4cb2f180ca25cbf4chunk-90b95db5c53e4364a6bee36b7aa4d70f'}> +2024-10-30 06:54:23,808 - lightrag - INFO - get_node:query:MATCH (n:`WANT`) RETURN n:result:"Want is represented as the second child shown by the Spirit, symbolizing the dire social conditions and needs of the impoverished.""Want represents another societal failing, portrayed as a girl, symbolizing deprivation and yearning for basic needs.""Want is represented as the second child shown by the Spirit, symbolizing the dire social conditions and needs of the impoverished.""Want represents another societal failing, portrayed as a girl, symbolizing deprivation and yearning for basic needs.""Want is represented as the second child shown by the Spirit, symbolizing the dire social conditions and needs of the impoverished.""Want represents another societal failing, portrayed as a girl, symbolizing deprivation and yearning for basic needs.""Want is represented as the second child shown by the Spirit, symbolizing the dire social conditions and needs of the impoverished.""Want represents another societal failing, portrayed as a girl, symbolizing deprivation and yearning for basic needs.""Want is represented as the second child shown by the Spirit, symbolizing the dire social conditions and needs of the impoverished.""Want represents another societal failing, portrayed as a girl, symbolizing deprivation and yearning for basic needs."', 'source_id': 'chunk-02baee20cc9463dbe08170a8e1043e32chunk-e7637ff18c5ded77a68cce0a87883fad'}> +2024-10-30 06:54:23,895 - lightrag - INFO - get_node:query:MATCH (n:`CHILD`) RETURN n:result: +2024-10-30 06:54:23,984 - lightrag - INFO - get_node:query:MATCH (n:`THE PHANTOM`) RETURN n:result:"The Phantom represents a ghostly presence guiding Scrooge through reflections on his life and future decisions.""The Phantom represents a ghostly presence guiding Scrooge through reflections on his life and future decisions.""The Phantom represents a ghostly presence guiding Scrooge through reflections on his life and future decisions.""The Phantom represents a ghostly presence guiding Scrooge through reflections on his life and future decisions.""The Phantom represents the supernatural element in Scrooge\'s journey of self-reflection and moral awakening."', 'source_id': 'chunk-f1a4fbcf1ed86864b9bfd5e8dba4c683'}> +2024-10-30 06:54:24,067 - lightrag - INFO - get_node:query:MATCH (n:`BOB CRATCHIT`) RETURN n:result:chunk-90b95db5c53e4364a6bee36b7aa4d70fchunk-d9aac3484185ac66045df92214d245d5chunk-19d72c57ae3408758b18d2568e86dc6bchunk-503f0bfa5453467c7c61d160a3540ecachunk-91572b3cd42786ba4cb2f180ca25cbf4chunk-9e3921da66da5d761ab73cd849af6c43chunk-94bea83e7153fc2064aa382b494936a1chunk-83ac129dc9b56f84c46760d153d68e93chunk-7e2e7ebcc19a53b399dc03aded4743e7chunk-1d4b58de5429cd1261370c231c8673e8'}> +2024-10-30 06:54:24,154 - lightrag - INFO - get_node:query:MATCH (n:`SCROOGE`) RETURN n:result:chunk-b0f459f5af1c3a5e0b92cbe4ee48b77bchunk-e7637ff18c5ded77a68cce0a87883fadchunk-359187e7571bda4b0b08b2e0b6581e52chunk-e1f29eeadc1d8ab46dc8a0bbd3c56b64chunk-c6c248858d1b13ab7ee9ca13c1aeed6bchunk-cb661c37436355ccec2769b1d0350c5fchunk-f1a4fbcf1ed86864b9bfd5e8dba4c683chunk-99b0ec7f7e006561352b5d65e849611dchunk-843b5b2f944c7413d9ca876e2e2f151fchunk-90b95db5c53e4364a6bee36b7aa4d70fchunk-19d72c57ae3408758b18d2568e86dc6bchunk-02baee20cc9463dbe08170a8e1043e32chunk-503f0bfa5453467c7c61d160a3540ecachunk-91572b3cd42786ba4cb2f180ca25cbf4chunk-83ac129dc9b56f84c46760d153d68e93chunk-8f738cb25d60a7dab782162d9d0a25edchunk-94bea83e7153fc2064aa382b494936a1chunk-9c43dac2fcd5b578242d907ea6f8fc7bchunk-74e2466de2f67fd710ef2f20c0a8d9e0chunk-89777b838d5447c7bd1ec11282c4ee89chunk-d9aac3484185ac66045df92214d245d5chunk-90d5764e301321c087f5a8f78b73a145chunk-91614df5cb74cbe5e109a338a82041e9chunk-54bdd22db1f84a965b5f4c06c9216d8dchunk-773d0df1dd25c356f7b771d780583e09chunk-5dac41b3f9eeaf794f0147400b1718cdchunk-43c9bee23adfa77aa9dedd22401bba7dchunk-da2472b4ef2a535b62908f14d0fb0ca9chunk-1aa50206d02ed89418f65f97c6441d1cchunk-8590d9263cd2cd4fa583c432fc54e6c3chunk-b2f98bc7abb0c67d4c86055c7fd72218chunk-bb21d58d36c6306fd8810ddd51c4a971'}> +2024-10-30 06:54:24,241 - lightrag - INFO - get_node:query:MATCH (n:`THE GHOST OF CHRISTMAS PAST`) RETURN n:result:"The Ghost of Christmas Past is a supernatural entity that allows Scrooge to revisit and reflect on his previous life experiences.""The Ghost of Christmas Past is a supernatural entity that allows Scrooge to revisit and reflect on his previous life experiences.""The Ghost of Christmas Past is a supernatural entity that allows Scrooge to revisit and reflect on his previous life experiences.""The Ghost of Christmas Past is a supernatural entity that allows Scrooge to revisit and reflect on his previous life experiences.""The Ghost of Christmas Past is a supernatural entity that shows Scrooge moments from his past, eliciting reflection and emotion.""The Ghost of Christmas Past represents Scrooge\'s history and helps him confront his former self and decisions made in life.""The Ghost of Christmas Past represents Scrooge\'s history and helps him confront his former self and decisions made in life.""The Ghost of Christmas Past represents Scrooge\'s history and helps him confront his former self and decisions made in life.""The Ghost of Christmas Past represents Scrooge\'s history and helps him confront his former self and decisions made in life.""The Ghost of Christmas Past represents Scrooge\'s history and helps him confront his former self and decisions made in life."', 'source_id': 'chunk-b2f98bc7abb0c67d4c86055c7fd72218chunk-90b95db5c53e4364a6bee36b7aa4d70f'}> +2024-10-30 06:54:24,328 - lightrag - INFO - get_node:query:MATCH (n:`THE MEMORY`) RETURN n:result: +2024-10-30 06:54:24,414 - lightrag - INFO - get_node:query:MATCH (n:`COLD WEATHER`) RETURN n:result:"Cold Weather sets the bleak and unforgiving atmosphere, reflecting Scrooge’s own personality and state of mind.""Cold Weather sets the bleak and unforgiving atmosphere, reflecting Scrooge’s own personality and state of mind.""Cold Weather sets the bleak and unforgiving atmosphere, reflecting Scrooge’s own personality and state of mind.""Cold Weather sets the bleak and unforgiving atmosphere, reflecting Scrooge’s own personality and state of mind.""Cold Weather sets the bleak and unforgiving atmosphere, reflecting Scrooge’s own personality and state of mind."', 'source_id': 'chunk-f1a4fbcf1ed86864b9bfd5e8dba4c683chunk-74e2466de2f67fd710ef2f20c0a8d9e0'}> +2024-10-30 06:54:24,506 - lightrag - INFO - get_node:query:MATCH (n:`THE GHOST`) RETURN n:result:chunk-43c9bee23adfa77aa9dedd22401bba7dchunk-e7637ff18c5ded77a68cce0a87883fadchunk-359187e7571bda4b0b08b2e0b6581e52chunk-da2472b4ef2a535b62908f14d0fb0ca9chunk-c6c248858d1b13ab7ee9ca13c1aeed6bchunk-02baee20cc9463dbe08170a8e1043e32chunk-1aa50206d02ed89418f65f97c6441d1cchunk-cb661c37436355ccec2769b1d0350c5fchunk-54bdd22db1f84a965b5f4c06c9216d8dchunk-8590d9263cd2cd4fa583c432fc54e6c3chunk-83ac129dc9b56f84c46760d153d68e93chunk-9c43dac2fcd5b578242d907ea6f8fc7b'}> +2024-10-30 06:54:24,595 - lightrag - INFO - get_node:query:MATCH (n:`CHRISTMAS HOLIDAYS`) RETURN n:result:"Christmas Holidays signify a time for celebration, reflection, and reconciliation, playing a critical role in Scrooge\'s transformation.""Christmas Holidays signify a time for celebration, reflection, and reconciliation, playing a critical role in Scrooge\'s transformation.""Christmas Holidays signify a time for celebration, reflection, and reconciliation, playing a critical role in Scrooge\'s transformation.""Christmas Holidays signify a time for celebration, reflection, and reconciliation, playing a critical role in Scrooge\'s transformation.""The Christmas Holidays serve as a crucial backdrop for the narrative, representing themes of generosity, family, and redemption."', 'source_id': 'chunk-e7637ff18c5ded77a68cce0a87883fad'}> +2024-10-30 06:54:24,683 - lightrag - INFO - get_node:query:MATCH (n:`CHRISTMAS EVE`) RETURN n:result:"Christmas Eve is a significant time in the story, marked by celebrations and gatherings led by Fezziwig.""Christmas Eve is a significant time in the story, marked by celebrations and gatherings led by Fezziwig.""Christmas Eve is a significant time in the story, marked by celebrations and gatherings led by Fezziwig.""Christmas Eve is a significant time in the story, marked by celebrations and gatherings led by Fezziwig.""Christmas Eve is depicted as a significant time, bringing about joyful activities like sliding down snow hills, contrasting with Scrooge\'s dour demeanor.""Christmas Eve is the night before Christmas, serving as the backdrop for the lively celebrations and dances hosted by Fezziwig.""Christmas Eve is the specific time setting in the story, highlighting the contrast between the joy of the holiday and Scrooge\'s negativity.""Christmas Eve is the day prior to Christmas, a time that carries festive significance and anticipation in the narrative.""Christmas Eve is the day prior to Christmas, a time that carries festive significance and anticipation in the narrative.""Christmas Eve is the day prior to Christmas, a time that carries festive significance and anticipation in the narrative.""Christmas Eve is the day prior to Christmas, a time that carries festive significance and anticipation in the narrative.""Christmas Eve is the day prior to Christmas, a time that carries festive significance and anticipation in the narrative."', 'source_id': 'chunk-d9aac3484185ac66045df92214d245d5chunk-8bc1edd983869352d14cf0886a9175a7chunk-74e2466de2f67fd710ef2f20c0a8d9e0'}> +2024-10-30 06:54:24,768 - lightrag - INFO - get_node:query:MATCH (n:`THE CORPSE`) RETURN n:result: +2024-10-30 06:54:24,855 - lightrag - INFO - get_node:query:MATCH (n:`GHOST`) RETURN n:result:"The Ghost refers to the spirit guiding Scrooge, embodying the themes of memory and reflection on the joys of Christmas.""The Ghost represents a spiritual guide that takes Scrooge on a journey to learn important lessons about compassion and humanity.""The Ghost serves as a supernatural guide for Scrooge, prompting him to reflect on his life and choices.""The Ghost is the spirit of Jacob Marley, who expresses remorse for his life and warns Scrooge about the consequences of ignoring his moral duties.""The Ghost is the spirit of Jacob Marley, who expresses remorse for his life and warns Scrooge about the consequences of ignoring his moral duties.""The Ghost is the spirit of Jacob Marley, who expresses remorse for his life and warns Scrooge about the consequences of ignoring his moral duties.""The Ghost is the spirit of Jacob Marley, who expresses remorse for his life and warns Scrooge about the consequences of ignoring his moral duties.""The Ghost is the spirit of Jacob Marley, who expresses remorse for his life and warns Scrooge about the consequences of ignoring his moral duties."', 'source_id': 'chunk-43c9bee23adfa77aa9dedd22401bba7dchunk-e7637ff18c5ded77a68cce0a87883fadchunk-359187e7571bda4b0b08b2e0b6581e52chunk-c6c248858d1b13ab7ee9ca13c1aeed6bchunk-503f0bfa5453467c7c61d160a3540eca'}> +2024-10-30 06:54:24,942 - lightrag - INFO - get_node:query:MATCH (n:`JOE`) RETURN n:result:"Joe is a marine-store dealer depicted as receiving stolen goods, illustrating the consequences of crime and the darker sides of society.""Joe is portrayed as a character engaged in a conversation about the deceased, displaying a mix of humor and practicality in dealing with the possessions of the dead.""Joe is a character who interacts with others, demonstrating a sense of curiosity and disbelief regarding certain situations and comments.""Joe is a marine-store dealer and receiver of stolen goods, indicative of the darker, more unscrupulous elements of society.""Joe is an old character who engages in conversation about the deceased man\'s belongings, revealing his pragmatic and somewhat cynical perspective on life and death.""Joe is a character who interacts with others, demonstrating a sense of curiosity and disbelief regarding certain situations and comments.""Joe is a marine-store dealer and receiver of stolen goods, indicative of the darker, more unscrupulous elements of society.""Joe is an old character who engages in conversation about the deceased man\'s belongings, revealing his pragmatic and somewhat cynical perspective on life and death.""Joe is a character who interacts with others, demonstrating a sense of curiosity and disbelief regarding certain situations and comments.""Joe is a marine-store dealer and receiver of stolen goods, indicative of the darker, more unscrupulous elements of society.""Joe is an old character who engages in conversation about the deceased man\'s belongings, revealing his pragmatic and somewhat cynical perspective on life and death.""Joe is a character who interacts with others, demonstrating a sense of curiosity and disbelief regarding certain situations and comments.""Joe is a marine-store dealer and receiver of stolen goods, indicative of the darker, more unscrupulous elements of society.""Joe is an old character who engages in conversation about the deceased man\'s belongings, revealing his pragmatic and somewhat cynical perspective on life and death.""Joe is a character who interacts with others, demonstrating a sense of curiosity and disbelief regarding certain situations and comments.""Joe is a marine-store dealer and receiver of stolen goods, indicative of the darker, more unscrupulous elements of society.""Joe is an old character who engages in conversation about the deceased man\'s belongings, revealing his pragmatic and somewhat cynical perspective on life and death."', 'source_id': 'chunk-e1f29eeadc1d8ab46dc8a0bbd3c56b64chunk-9e3921da66da5d761ab73cd849af6c43chunk-89777b838d5447c7bd1ec11282c4ee89'}> +2024-10-30 06:54:25,028 - lightrag - INFO - get_node:query:MATCH (n:`MANSION`) RETURN n:result: +2024-10-30 06:54:25,116 - lightrag - INFO - get_node:query:MATCH (n:`THE COUNTING-HOUSE`) RETURN n:result:"The Counting-House is where Scrooge works and is characterized by its cold and unwelcoming environment.""The Counting-House is the place where Scrooge works, reflecting a business environment lacking warmth or joy.""The Counting-House is the place where Scrooge works, reflecting a business environment lacking warmth or joy.""The Counting-House is the place where Scrooge works, reflecting a business environment lacking warmth or joy.""The Counting-House is the place where Scrooge works, reflecting a business environment lacking warmth or joy.""The Counting-House is the place where Scrooge works, reflecting a business environment lacking warmth or joy."', 'source_id': 'chunk-d9aac3484185ac66045df92214d245d5chunk-74e2466de2f67fd710ef2f20c0a8d9e0'}> +2024-10-30 06:54:25,202 - lightrag - INFO - get_node:query:MATCH (n:`THE CITY`) RETURN n:result:"The City represents the bustling urban environment where Scrooge reflects on his past, filled with activity and shadowy figures.""The City, from which Scrooge is transported, represents his past life and is contrasted with the open country road that signifies his memories.""The City refers to the broader urban environment in which Scrooge operates and signifies the societal norms and attitudes towards Christmas.""The City represents the bustling urban environment where Scrooge\'s memories unfold, highlighting the contrast between his past and present.""The City refers to the broader urban environment in which Scrooge operates and signifies the societal norms and attitudes towards Christmas.""The City represents the bustling urban environment where Scrooge\'s memories unfold, highlighting the contrast between his past and present.""The City refers to the broader urban environment in which Scrooge operates and signifies the societal norms and attitudes towards Christmas.""The City represents the bustling urban environment where Scrooge\'s memories unfold, highlighting the contrast between his past and present.""The City refers to the broader urban environment in which Scrooge operates and signifies the societal norms and attitudes towards Christmas.""The City represents the bustling urban environment where Scrooge\'s memories unfold, highlighting the contrast between his past and present.""The City refers to the broader urban environment in which Scrooge operates and signifies the societal norms and attitudes towards Christmas.""The City represents the bustling urban environment where Scrooge\'s memories unfold, highlighting the contrast between his past and present."', 'source_id': 'chunk-74e2466de2f67fd710ef2f20c0a8d9e0chunk-c6c248858d1b13ab7ee9ca13c1aeed6bchunk-94bea83e7153fc2064aa382b494936a1chunk-bb21d58d36c6306fd8810ddd51c4a971'}> +2024-10-30 06:54:25,291 - lightrag - INFO - get_node:query:MATCH (n:`THE WOMAN`) RETURN n:result:chunk-60fc063c79fc0d4acc91a57e79de04dcchunk-89777b838d5447c7bd1ec11282c4ee89'}> +2024-10-30 06:54:25,374 - lightrag - INFO - get_node:query:MATCH (n:`MARLEY'S FUNERAL`) RETURN n:result: +2024-10-30 06:54:25,457 - lightrag - INFO - get_node:query:MATCH (n:`SPECTRE`) RETURN n:result: +2024-10-30 06:54:25,546 - lightrag - INFO - get_node:query:MATCH (n:`CHRISTMAS`) RETURN n:result:chunk-c6c248858d1b13ab7ee9ca13c1aeed6bchunk-99b0ec7f7e006561352b5d65e849611dchunk-02baee20cc9463dbe08170a8e1043e32chunk-503f0bfa5453467c7c61d160a3540ecachunk-91572b3cd42786ba4cb2f180ca25cbf4chunk-8f738cb25d60a7dab782162d9d0a25edchunk-94bea83e7153fc2064aa382b494936a1chunk-1d4b58de5429cd1261370c231c8673e8chunk-74e2466de2f67fd710ef2f20c0a8d9e0chunk-89777b838d5447c7bd1ec11282c4ee89chunk-90d5764e301321c087f5a8f78b73a145chunk-91614df5cb74cbe5e109a338a82041e9chunk-54bdd22db1f84a965b5f4c06c9216d8dchunk-773d0df1dd25c356f7b771d780583e09chunk-5dac41b3f9eeaf794f0147400b1718cdchunk-43c9bee23adfa77aa9dedd22401bba7dchunk-da2472b4ef2a535b62908f14d0fb0ca9chunk-8590d9263cd2cd4fa583c432fc54e6c3'}> +2024-10-30 06:54:25,635 - lightrag - INFO - get_node:query:MATCH (n:`GRAVE`) RETURN n:result: +2024-10-30 06:54:25,723 - lightrag - INFO - get_node:query:MATCH (n:`THE DECEASED MAN`) RETURN n:result: +2024-10-30 06:54:25,810 - lightrag - INFO - get_node:query:MATCH (n:`FEZZIWIG`) RETURN n:result:"Fezziwig is a character known for hosting a domestic ball that brings joy and merriment to the participants, showcasing his ability to create happiness.""Fezziwig is a joyful and lively character who dances with Mrs. Fezziwig, embodying the festive spirit of Christmas.""Fezziwig is presented as Scrooge\'s former employer, known for his jovial nature and generous spirit, who plays a significant role in Scrooge\'s memories.""Fezziwig is the owner of a business where festive celebrations take place, known for his jovial character and ability to create a lively atmosphere."Fezziwig is a character renowned for his role as a joyful and jovial employer who hosts domestic balls, creating an atmosphere filled with happiness and merriment for his participants. He is depicted as a kind-hearted figure who organizes lively Christmas festivities for his employees, exemplifying kindness and generosity. Fezziwig plays a significant role in the memories of Ebenezer Scrooge, being portrayed as his former employer who embodies the true spirit of Christmas.\n\nHe is often seen dancing with his wife, Mrs. Fezziwig, which further illustrates his cheerful nature and the festive spirit surrounding the celebrations. As the owner of a business where these vibrant festivities take place, Fezziwig is celebrated for his ability to create a lively and joyful environment, leaving a lasting impression on those who encounter him during the festive seasons. His portrayal encapsulates the essence of joy, generosity, and the festive spirit, making him a beloved character in the narrative of Scrooge\'s past."Fezziwig is a joyful and lively character who dances with Mrs. Fezziwig, embodying the festive spirit of Christmas.""Fezziwig is presented as Scrooge\'s former employer, known for his jovial nature and generous spirit, who plays a significant role in Scrooge\'s memories.""Fezziwig is the owner of a business where festive celebrations take place, known for his jovial character and ability to create a lively atmosphere."', 'source_id': 'chunk-b2f98bc7abb0c67d4c86055c7fd72218chunk-c6c248858d1b13ab7ee9ca13c1aeed6bchunk-8bc1edd983869352d14cf0886a9175a7chunk-89777b838d5447c7bd1ec11282c4ee89'}> +2024-10-30 06:54:25,898 - lightrag - INFO - get_node:query:MATCH (n:`THE DEBT`) RETURN n:result: +2024-10-30 06:54:25,991 - lightrag - INFO - get_node:query:MATCH (n:`GHOST OF CHRISTMAS PAST`) RETURN n:result:"The Ghost of Christmas Past is a supernatural entity that aids Scrooge in reflecting on his past experiences and emotions.""The Ghost of Christmas Past is one of the spirits in A Christmas Carol that shows Scrooge his past, prompting reflection and change.""The Ghost of Christmas Past represents a spirit that guides Scrooge to revisit and reflect on his past experiences and memories.""The Ghost of Christmas Past is one of the spirits in A Christmas Carol that shows Scrooge his past, prompting reflection and change.""The Ghost of Christmas Past represents a spirit that guides Scrooge to revisit and reflect on his past experiences and memories.""The Ghost of Christmas Past is one of the spirits in A Christmas Carol that shows Scrooge his past, prompting reflection and change.""The Ghost of Christmas Past represents a spirit that guides Scrooge to revisit and reflect on his past experiences and memories.""The Ghost of Christmas Past is one of the spirits in A Christmas Carol that shows Scrooge his past, prompting reflection and change.""The Ghost of Christmas Past represents a spirit that guides Scrooge to revisit and reflect on his past experiences and memories.""The Ghost of Christmas Past is one of the spirits in A Christmas Carol that shows Scrooge his past, prompting reflection and change.""The Ghost of Christmas Past represents a spirit that guides Scrooge to revisit and reflect on his past experiences and memories."', 'source_id': 'chunk-9e3921da66da5d761ab73cd849af6c43chunk-bb21d58d36c6306fd8810ddd51c4a971'}> +2024-10-30 06:54:26,080 - lightrag - INFO - get_node:query:MATCH (n:`IGNORANCE`) RETURN n:result:"Ignorance is personified as a boy that symbolizes the dangers of ignoring social issues and the consequences of a lack of awareness.""Ignorance personifies a societal failing, depicted as a child, warning of the dangers of neglect and moral responsibility.""Ignorance refers to one of the two children presented by the Spirit, symbolizing societal neglect and the consequences of lack of awareness.""Ignorance personifies a societal failing, depicted as a child, warning of the dangers of neglect and moral responsibility.""Ignorance refers to one of the two children presented by the Spirit, symbolizing societal neglect and the consequences of lack of awareness.""Ignorance personifies a societal failing, depicted as a child, warning of the dangers of neglect and moral responsibility.""Ignorance refers to one of the two children presented by the Spirit, symbolizing societal neglect and the consequences of lack of awareness.""Ignorance personifies a societal failing, depicted as a child, warning of the dangers of neglect and moral responsibility.""Ignorance refers to one of the two children presented by the Spirit, symbolizing societal neglect and the consequences of lack of awareness.""Ignorance personifies a societal failing, depicted as a child, warning of the dangers of neglect and moral responsibility.""Ignorance refers to one of the two children presented by the Spirit, symbolizing societal neglect and the consequences of lack of awareness."', 'source_id': 'chunk-02baee20cc9463dbe08170a8e1043e32chunk-e7637ff18c5ded77a68cce0a87883fad'}> +2024-10-30 06:54:26,168 - lightrag - INFO - get_node:query:MATCH (n:`MARLEY'S GHOST`) RETURN n:result:chunk-9c43dac2fcd5b578242d907ea6f8fc7bchunk-cb661c37436355ccec2769b1d0350c5fchunk-1aa50206d02ed89418f65f97c6441d1c'}> +2024-10-30 06:54:26,256 - lightrag - INFO - get_node:query:MATCH (n:`SCROOGE'S NIECE`) RETURN n:result:"Scrooge\'s Niece is a lively character who expresses indignation towards Scrooge\'s disdain for Christmas and embodies warmth and charm, showing affection and concern for family.""Scrooge\'s Niece is a lively character who expresses indignation towards Scrooge\'s disdain for Christmas and embodies warmth and charm, showing affection and concern for family.""Scrooge\'s Niece is a lively character who expresses indignation towards Scrooge\'s disdain for Christmas and embodies warmth and charm, showing affection and concern for family.""Scrooge\'s Niece is a lively character who expresses indignation towards Scrooge\'s disdain for Christmas and embodies warmth and charm, showing affection and concern for family.""Scrooge\'s Niece is depicted as a beautiful and lively character who expresses strong opinions about her uncle Scrooge.""Scrooge\'s niece is depicted as a joyful participant in the evening\'s festivities, engaging in games and music.""Scrooge\'s niece is a central figure in the family gathering, enjoying the festivities and games, showing a loving and vibrant personality.""Scrooge\'s niece is a central figure in the family gathering, enjoying the festivities and games, showing a loving and vibrant personality.""Scrooge\'s niece is a central figure in the family gathering, enjoying the festivities and games, showing a loving and vibrant personality.""Scrooge\'s niece is a central figure in the family gathering, enjoying the festivities and games, showing a loving and vibrant personality.""Scrooge\'s niece is a central figure in the family gathering, enjoying the festivities and games, showing a loving and vibrant personality."', 'source_id': 'chunk-773d0df1dd25c356f7b771d780583e09chunk-43c9bee23adfa77aa9dedd22401bba7d'}> +2024-10-30 06:54:26,344 - lightrag - INFO - get_node:query:MATCH (n:`TINY TIM`) RETURN n:result:chunk-19d72c57ae3408758b18d2568e86dc6bchunk-503f0bfa5453467c7c61d160a3540ecachunk-91572b3cd42786ba4cb2f180ca25cbf4chunk-9e3921da66da5d761ab73cd849af6c43chunk-8f738cb25d60a7dab782162d9d0a25edchunk-94bea83e7153fc2064aa382b494936a1chunk-83ac129dc9b56f84c46760d153d68e93chunk-7e2e7ebcc19a53b399dc03aded4743e7chunk-1d4b58de5429cd1261370c231c8673e8'}> +2024-10-30 06:54:26,434 - lightrag - INFO - get_node:query:MATCH (n:`TIM`) RETURN n:result: +2024-10-30 06:54:26,519 - lightrag - INFO - get_node:query:MATCH (n:`THE SPIRIT`) RETURN n:result:chunk-b0f459f5af1c3a5e0b92cbe4ee48b77bchunk-da2472b4ef2a535b62908f14d0fb0ca9chunk-e1f29eeadc1d8ab46dc8a0bbd3c56b64chunk-19d72c57ae3408758b18d2568e86dc6bchunk-503f0bfa5453467c7c61d160a3540ecachunk-91614df5cb74cbe5e109a338a82041e9chunk-91572b3cd42786ba4cb2f180ca25cbf4chunk-f1a4fbcf1ed86864b9bfd5e8dba4c683chunk-8590d9263cd2cd4fa583c432fc54e6c3chunk-b2f98bc7abb0c67d4c86055c7fd72218chunk-bb21d58d36c6306fd8810ddd51c4a971'}> +2024-10-30 06:54:26,606 - lightrag - INFO - get_node:query:MATCH (n:`JACOB MARLEY`) RETURN n:result:"Jacob Marley is Scrooge\'s deceased partner, who appears in spirit to influence Scrooge\'s journey towards redemption.""Jacob Marley is a spirit who influences Scrooge\'s change of heart, representing a connection to Scrooge\'s past and the theme of redemption.""Jacob Marley is the deceased business partner of Scrooge, whose ghost visits him to convey a message about the importance of charity and kindness.""Jacob Marley is the deceased partner of Scrooge who shows concern for Scrooge\'s fate and the importance of change in his life.""Jacob Marley is the ghost of Scrooge\'s former business partner, who foretells the consequences of Scrooge\'s selfishness and warns him to change his ways.""Jacob Marley is the ghost of Scrooge\'s former partner, who appears to warn Scrooge about his fate and the need for change in his life."Jacob Marley is Scrooge\'s deceased business partner, who appears as a ghost, prominently wearing chains that symbolize the burdens of his past misdeeds and the weight of his regrets. As a spirit, Marley plays a pivotal role in influencing Ebenezer Scrooge\'s journey toward redemption. He visits Scrooge to convey significant messages about the dire consequences of a life devoid of compassion and the critical importance of charity and kindness.\n\nMarley\'s haunting presence serves as a warning to Scrooge about his impending fate if he continues on his selfish and isolated path. He is depicted as showing genuine concern for Scrooge\'s welfare and the necessity for transformative change in his life. Through his visitation, Marley acts as a catalyst, compelling Scrooge to reflect on his past actions and their impact on others. His connection to Scrooge\'s history reinforces the themes of redemption and personal responsibility, emphasizing the potential for transformation and renewal in the face of prior wrongdoings. Ultimately, Jacob Marley\'s spirit not only acts as a reminder of the consequences of one\'s choices but also highlights the possibility of change and growth through self-awareness and connection to humanity.', 'source_id': 'chunk-90b95db5c53e4364a6bee36b7aa4d70fchunk-359187e7571bda4b0b08b2e0b6581e52chunk-da2472b4ef2a535b62908f14d0fb0ca9chunk-02baee20cc9463dbe08170a8e1043e32chunk-1aa50206d02ed89418f65f97c6441d1cchunk-91572b3cd42786ba4cb2f180ca25cbf4chunk-cb661c37436355ccec2769b1d0350c5f'}> +2024-10-30 06:54:26,694 - lightrag - INFO - get_node:query:MATCH (n:`THE CRATCHIT HOUSE`) RETURN n:result: +2024-10-30 06:54:26,783 - lightrag - INFO - get_node:query:MATCH (n:`SPIRIT`) RETURN n:result:"The Spirit represents a ghostly figure guiding Scrooge through reflections related to a death, illustrating lessons about life and mortality.""The Spirit represents a supernatural being guiding Scrooge through lessons about the consequences of his actions and the future.""The Spirit represents a supernatural entity guiding Scrooge and teaching him lessons about compassion and humanity."The "Spirit" represents a multifaceted supernatural entity that plays a crucial role in guiding Ebenezer Scrooge through profound reflections on his life, death, and human emotions. Central to the narrative is the Spirit\'s embodiment of the essence of Marley, which interacts with Scrooge to highlight themes related to the afterlife and unresolved issues. The Spirit manifests as various figures, most notably the Ghost of Christmas Present, who personifies the themes of generosity, merriment, and the true spirit of the Christmas season.\n\nThroughout Scrooge\'s journey, the Spirit serves as a guide, leading him through memories of his past, reflecting his former self and the influence of time on his character. The entity illustrates important lessons about compassion, social responsibility, and the consequences of his actions, urging Scrooge to confront societal issues and fostering self-awareness.\n\nThe Spirit also emphasizes the somber aspects of life, illustrating lessons about mortality and the inevitability of death, prompting Scrooge to reflect on the implications of his life choices. Overall, the Spirit encapsulates the intersection of compassion, humanity, and the moral lessons inherent in the experience of life, serving as a catalyst for Scrooge\'s transformation and awakening.', 'source_id': 'chunk-e7637ff18c5ded77a68cce0a87883fadchunk-02baee20cc9463dbe08170a8e1043e32chunk-1aa50206d02ed89418f65f97c6441d1cchunk-83ac129dc9b56f84c46760d153d68e93chunk-843b5b2f944c7413d9ca876e2e2f151fchunk-bb21d58d36c6306fd8810ddd51c4a971'}> +2024-10-30 06:54:26,875 - lightrag - INFO - get_node:query:MATCH (n:`MARLEY`) RETURN n:result:"Marley is Scrooge\'s deceased business partner whose presence looms over the story, symbolizing the consequences of a life similar to Scrooge\'s.""Marley is Scrooge\'s deceased business partner, whose death is a significant event that sets the tone for the story.""Marley is Scrooge\'s deceased business partner, whose death is mentioned as impactful, having passed seven years prior to the events in the text.""Marley is depicted as a ghost, having a pigtail, waistcoat, tights, and boots, and is central to Scrooge\'s haunting experience."Marley is Scrooge\'s deceased business partner, whose presence looms over the narrative of the story, symbolizing the dire consequences of a life lived without compassion and care for others. His death serves as a significant event that sets the tone for the plot and reflects the overarching themes of regret and the supernatural.\n\nMarley passed away seven years prior to the events depicted, making his spectral appearance even more impactful. Despite being a character who is only mentioned throughout much of the story, his influence on Scrooge is profound, as reflections and memories of Marley shape Scrooge\'s perspective on life and relationships. This ghostly figure is depicted distinctly with a pigtail, waistcoat, tights, and boots, making him central to Scrooge\'s haunting experience.\n\nOverall, Marley represents the weight of past actions and the importance of empathy, acting as a harbinger of transformation for Scrooge. His ghostly manifestation evokes both fear and introspection, ultimately contributing to the moral lessons embedded in the tale."Marley is Scrooge\'s deceased business partner, whose death is a significant event that sets the tone for the story.""Marley is Scrooge\'s deceased business partner, whose death is mentioned as impactful, having passed seven years prior to the events in the text.""Marley is depicted as a ghost, having a pigtail, waistcoat, tights, and boots, and is central to Scrooge\'s haunting experience."', 'source_id': 'chunk-5dac41b3f9eeaf794f0147400b1718cdchunk-89777b838d5447c7bd1ec11282c4ee89chunk-d9aac3484185ac66045df92214d245d5chunk-9c43dac2fcd5b578242d907ea6f8fc7bchunk-843b5b2f944c7413d9ca876e2e2f151f'}> +2024-10-30 06:54:27,009 - lightrag - INFO - _find_node_degree:query: + MATCH (n:`FOG`) + RETURN COUNT{ (n)--() } AS totalEdgeCount + :result:2 +2024-10-30 06:54:27,179 - lightrag - INFO - _find_node_degree:query: + MATCH (n:`THE GHOST OF CHRISTMAS YET TO COME`) RETURN COUNT{ (n)--() } AS totalEdgeCount :result:1 -2024-10-29 15:34:08,992 - lightrag - INFO - _find_node_degree:query: - MATCH (n:`THE CITY`) +2024-10-30 06:54:27,347 - lightrag - INFO - _find_node_degree:query: + MATCH (n:`WANT`) RETURN COUNT{ (n)--() } AS totalEdgeCount - :result:3 -2024-10-29 15:34:09,162 - lightrag - INFO - _find_node_degree:query: + :result:2 +2024-10-30 06:54:27,520 - lightrag - INFO - _find_node_degree:query: + MATCH (n:`CHILD`) + RETURN COUNT{ (n)--() } AS totalEdgeCount + :result:2 +2024-10-30 06:54:27,690 - lightrag - INFO - _find_node_degree:query: + MATCH (n:`THE PHANTOM`) + RETURN COUNT{ (n)--() } AS totalEdgeCount + :result:2 +2024-10-30 06:54:27,859 - lightrag - INFO - _find_node_degree:query: + MATCH (n:`BOB CRATCHIT`) + RETURN COUNT{ (n)--() } AS totalEdgeCount + :result:21 +2024-10-30 06:54:28,034 - lightrag - INFO - _find_node_degree:query: + MATCH (n:`SCROOGE`) + RETURN COUNT{ (n)--() } AS totalEdgeCount + :result:151 +2024-10-30 06:54:28,204 - lightrag - INFO - _find_node_degree:query: + MATCH (n:`THE GHOST OF CHRISTMAS PAST`) + RETURN COUNT{ (n)--() } AS totalEdgeCount + :result:1 +2024-10-30 06:54:28,369 - lightrag - INFO - _find_node_degree:query: + MATCH (n:`THE MEMORY`) + RETURN COUNT{ (n)--() } AS totalEdgeCount + :result:1 +2024-10-30 06:54:28,540 - lightrag - INFO - _find_node_degree:query: + MATCH (n:`COLD WEATHER`) + RETURN COUNT{ (n)--() } AS totalEdgeCount + :result:1 +2024-10-30 06:54:28,707 - lightrag - INFO - _find_node_degree:query: + MATCH (n:`THE GHOST`) + RETURN COUNT{ (n)--() } AS totalEdgeCount + :result:6 +2024-10-30 06:54:28,878 - lightrag - INFO - _find_node_degree:query: + MATCH (n:`CHRISTMAS HOLIDAYS`) + RETURN COUNT{ (n)--() } AS totalEdgeCount + :result:1 +2024-10-30 06:54:29,050 - lightrag - INFO - _find_node_degree:query: + MATCH (n:`CHRISTMAS EVE`) + RETURN COUNT{ (n)--() } AS totalEdgeCount + :result:5 +2024-10-30 06:54:29,219 - lightrag - INFO - _find_node_degree:query: + MATCH (n:`THE CORPSE`) + RETURN COUNT{ (n)--() } AS totalEdgeCount + :result:2 +2024-10-30 06:54:29,390 - lightrag - INFO - _find_node_degree:query: MATCH (n:`GHOST`) RETURN COUNT{ (n)--() } AS totalEdgeCount + :result:8 +2024-10-30 06:54:29,560 - lightrag - INFO - _find_node_degree:query: + MATCH (n:`JOE`) + RETURN COUNT{ (n)--() } AS totalEdgeCount :result:3 -2024-10-29 15:34:09,332 - lightrag - INFO - _find_node_degree:query: - MATCH (n:`MERCILESS CREDITOR`) +2024-10-30 06:54:29,724 - lightrag - INFO - _find_node_degree:query: + MATCH (n:`MANSION`) RETURN COUNT{ (n)--() } AS totalEdgeCount - :result:0 -2024-10-29 15:34:09,502 - lightrag - INFO - _find_node_degree:query: - MATCH (n:`THE SPIRITS`) + :result:2 +2024-10-30 06:54:29,893 - lightrag - INFO - _find_node_degree:query: + MATCH (n:`THE COUNTING-HOUSE`) + RETURN COUNT{ (n)--() } AS totalEdgeCount + :result:2 +2024-10-30 06:54:30,060 - lightrag - INFO - _find_node_degree:query: + MATCH (n:`THE CITY`) + RETURN COUNT{ (n)--() } AS totalEdgeCount + :result:3 +2024-10-30 06:54:30,230 - lightrag - INFO - _find_node_degree:query: + MATCH (n:`THE WOMAN`) + RETURN COUNT{ (n)--() } AS totalEdgeCount + :result:6 +2024-10-30 06:54:30,399 - lightrag - INFO - _find_node_degree:query: + MATCH (n:`MARLEY'S FUNERAL`) RETURN COUNT{ (n)--() } AS totalEdgeCount :result:1 -2024-10-29 15:34:09,670 - lightrag - INFO - _find_node_degree:query: - MATCH (n:`THE MOTHER`) +2024-10-30 06:54:30,566 - lightrag - INFO - _find_node_degree:query: + MATCH (n:`SPECTRE`) + RETURN COUNT{ (n)--() } AS totalEdgeCount + :result:1 +2024-10-30 06:54:30,733 - lightrag - INFO - _find_node_degree:query: + MATCH (n:`CHRISTMAS`) + RETURN COUNT{ (n)--() } AS totalEdgeCount + :result:25 +2024-10-30 06:54:30,905 - lightrag - INFO - _find_node_degree:query: + MATCH (n:`GRAVE`) + RETURN COUNT{ (n)--() } AS totalEdgeCount + :result:1 +2024-10-30 06:54:31,077 - lightrag - INFO - _find_node_degree:query: + MATCH (n:`THE DECEASED MAN`) + RETURN COUNT{ (n)--() } AS totalEdgeCount + :result:2 +2024-10-30 06:54:31,247 - lightrag - INFO - _find_node_degree:query: + MATCH (n:`FEZZIWIG`) + RETURN COUNT{ (n)--() } AS totalEdgeCount + :result:11 +2024-10-30 06:54:31,420 - lightrag - INFO - _find_node_degree:query: + MATCH (n:`THE DEBT`) + RETURN COUNT{ (n)--() } AS totalEdgeCount + :result:1 +2024-10-30 06:54:31,587 - lightrag - INFO - _find_node_degree:query: + MATCH (n:`GHOST OF CHRISTMAS PAST`) + RETURN COUNT{ (n)--() } AS totalEdgeCount + :result:5 +2024-10-30 06:54:31,758 - lightrag - INFO - _find_node_degree:query: + MATCH (n:`IGNORANCE`) + RETURN COUNT{ (n)--() } AS totalEdgeCount + :result:4 +2024-10-30 06:54:31,936 - lightrag - INFO - _find_node_degree:query: + MATCH (n:`MARLEY'S GHOST`) + RETURN COUNT{ (n)--() } AS totalEdgeCount + :result:8 +2024-10-30 06:54:32,107 - lightrag - INFO - _find_node_degree:query: + MATCH (n:`SCROOGE'S NIECE`) RETURN COUNT{ (n)--() } AS totalEdgeCount - :result:2 -2024-10-29 15:34:09,841 - lightrag - INFO - _find_node_degree:query: - MATCH (n:`LIGHT`) + :result:5 +2024-10-30 06:54:32,284 - lightrag - INFO - _find_node_degree:query: + MATCH (n:`TINY TIM`) + RETURN COUNT{ (n)--() } AS totalEdgeCount + :result:12 +2024-10-30 06:54:32,455 - lightrag - INFO - _find_node_degree:query: + MATCH (n:`TIM`) RETURN COUNT{ (n)--() } AS totalEdgeCount :result:1 -2024-10-29 15:34:10,012 - lightrag - INFO - _find_node_degree:query: - MATCH (n:`TWO YOUNG CRATCHITS`) +2024-10-30 06:54:32,622 - lightrag - INFO - _find_node_degree:query: + MATCH (n:`THE SPIRIT`) RETURN COUNT{ (n)--() } AS totalEdgeCount - :result:0 -2024-10-29 15:34:10,182 - lightrag - INFO - _find_node_degree:query: - MATCH (n:`JOE`) + :result:8 +2024-10-30 06:54:32,791 - lightrag - INFO - _find_node_degree:query: + MATCH (n:`JACOB MARLEY`) + RETURN COUNT{ (n)--() } AS totalEdgeCount + :result:7 +2024-10-30 06:54:32,963 - lightrag - INFO - _find_node_degree:query: + MATCH (n:`THE CRATCHIT HOUSE`) RETURN COUNT{ (n)--() } AS totalEdgeCount :result:2 -2024-10-29 15:34:20,742 - lightrag - INFO - get_node:query:MATCH (n:`THE GENTLEMAN`) RETURN n:result: -2024-10-29 15:34:20,835 - lightrag - INFO - get_node:query:MATCH (n:`THE GHOST OF CHRISTMAS YET TO COME`) RETURN n:result: -2024-10-29 15:34:20,926 - lightrag - INFO - get_node:query:MATCH (n:`PORTLY GENTLEMEN`) RETURN n:result: -2024-10-29 15:34:21,013 - lightrag - INFO - get_node:query:MATCH (n:`GEESE`) RETURN n:result:"Geese are included in the festive feast, representing the bounty and celebration associated with Christmas."', 'source_id': 'chunk-843b5b2f944c7413d9ca876e2e2f151fchunk-99b0ec7f7e006561352b5d65e849611d'}> -2024-10-29 15:34:21,098 - lightrag - INFO - get_node:query:MATCH (n:`ORSON`) RETURN n:result: -2024-10-29 15:34:21,186 - lightrag - INFO - get_node:query:MATCH (n:`THE PHANTOM`) RETURN n:result: -2024-10-29 15:34:21,273 - lightrag - INFO - get_node:query:MATCH (n:`MAN`) RETURN n:result: -2024-10-29 15:34:21,359 - lightrag - INFO - get_node:query:MATCH (n:`TURKEYS`) RETURN n:result:"Turkeys represent a common food item associated with the Christmas feast, highlighting the culinary aspects of the celebration."', 'source_id': 'chunk-843b5b2f944c7413d9ca876e2e2f151fchunk-99b0ec7f7e006561352b5d65e849611d'}> -2024-10-29 15:34:21,450 - lightrag - INFO - get_node:query:MATCH (n:`THE KNOCKER`) RETURN n:result:"The Knocker is an ornate door knocker that Scrooge admires, reflecting his newfound appreciation for simple joys.""The Knocker on the door serves as a symbolic gateway to the supernatural events, being the first point of eerie interaction for Scrooge."', 'source_id': 'chunk-d9aac3484185ac66045df92214d245d5chunk-8f738cb25d60a7dab782162d9d0a25edchunk-9c43dac2fcd5b578242d907ea6f8fc7b'}> -2024-10-29 15:34:21,539 - lightrag - INFO - get_node:query:MATCH (n:`THE BUSINESSMEN`) RETURN n:result: -2024-10-29 15:34:21,627 - lightrag - INFO - get_node:query:MATCH (n:`LITTLE FAN`) RETURN n:result: -2024-10-29 15:34:21,709 - lightrag - INFO - get_node:query:MATCH (n:`THE REGISTER`) RETURN n:result: -2024-10-29 15:34:21,795 - lightrag - INFO - get_node:query:MATCH (n:`CLERK`) RETURN n:result: -2024-10-29 15:34:21,881 - lightrag - INFO - get_node:query:MATCH (n:`THE GHOST OF JACOB MARLEY`) RETURN n:result: -2024-10-29 15:34:21,971 - lightrag - INFO - get_node:query:MATCH (n:`DICK WILKINS`) RETURN n:result:"Dick Wilkins is Scrooge\'s fellow apprentice and close companion during his younger years, indicating camaraderie during their apprenticeship."', 'source_id': 'chunk-c6c248858d1b13ab7ee9ca13c1aeed6bchunk-8bc1edd983869352d14cf0886a9175a7'}> -2024-10-29 15:34:22,059 - lightrag - INFO - get_node:query:MATCH (n:`THE GHOST OF CHRISTMAS FUTURE`) RETURN n:result: -2024-10-29 15:34:22,145 - lightrag - INFO - get_node:query:MATCH (n:`HOLLY`) RETURN n:result:"Holly is a plant associated with Christmas, mentioned among other decorations that contribute to the festive atmosphere."', 'source_id': 'chunk-843b5b2f944c7413d9ca876e2e2f151fchunk-99b0ec7f7e006561352b5d65e849611d'}> -2024-10-29 15:34:22,228 - lightrag - INFO - get_node:query:MATCH (n:`CHRISTMAS EVE`) RETURN n:result:"Christmas Eve is the night before Christmas, serving as the backdrop for the lively celebrations and dances hosted by Fezziwig.""Christmas Eve is the specific time setting in the story, highlighting the contrast between the joy of the holiday and Scrooge\'s negativity."', 'source_id': 'chunk-d9aac3484185ac66045df92214d245d5chunk-8bc1edd983869352d14cf0886a9175a7chunk-74e2466de2f67fd710ef2f20c0a8d9e0'}> -2024-10-29 15:34:22,310 - lightrag - INFO - get_node:query:MATCH (n:`BOB CRATCHIT`) RETURN n:result:"Bob Cratchit is Scrooge\'s clerk, who demonstrates a sense of hope and joy, particularly highlighted during Christmas Eve.""Bob Cratchit is Scrooge\'s employee who arrives late to work after celebrating Christmas, displaying a sense of trepidation toward Scrooge.""Bob Cratchit is a character associated with Scrooge, representing the family Scrooge intends to support by sending a turkey.""Bob Cratchit is a character who appears to be the voice of moderation and kindness, attempting to maintain positivity during the family Christmas feast despite Scrooge\'s presence.""Bob Cratchit is depicted as a struggling father, representative of familial love and concern, particularly for his children, including Tiny Tim.""Bob Cratchit is the dedicated clerk of Ebenezer Scrooge, representing the struggles of the working class and the importance of family in A Christmas Carol.""Bob Cratchit is the father of Tiny Tim and the head of the Cratchit family, who expresses joy and gratitude during Christmas dinner.""Bob Cratchit is the father of Tiny Tim, characterized by his kindness and emotional depth, especially in relation to his family\'s struggles.""Bob Cratchit is the father of the Cratchit family, characterized by his warmth and dedication to his family, particularly in caring for Tiny Tim."', 'source_id': 'chunk-83ac129dc9b56f84c46760d153d68e93chunk-503f0bfa5453467c7c61d160a3540ecachunk-90b95db5c53e4364a6bee36b7aa4d70fchunk-b0f459f5af1c3a5e0b92cbe4ee48b77bchunk-1d4b58de5429cd1261370c231c8673e8chunk-d9aac3484185ac66045df92214d245d5chunk-94bea83e7153fc2064aa382b494936a1chunk-7e2e7ebcc19a53b399dc03aded4743e7chunk-9e3921da66da5d761ab73cd849af6c43chunk-19d72c57ae3408758b18d2568e86dc6b'}> -2024-10-29 15:34:22,397 - lightrag - INFO - get_node:query:MATCH (n:`HOSPITAL`) RETURN n:result: -2024-10-29 15:34:22,484 - lightrag - INFO - get_node:query:MATCH (n:`THE GHOST OF CHRISTMAS PAST`) RETURN n:result: -2024-10-29 15:34:22,570 - lightrag - INFO - get_node:query:MATCH (n:`ROBIN CRUSOE`) RETURN n:result: -2024-10-29 15:34:22,657 - lightrag - INFO - get_node:query:MATCH (n:`ALI BABA`) RETURN n:result: -2024-10-29 15:34:22,743 - lightrag - INFO - get_node:query:MATCH (n:`MISERY'S REFUGE`) RETURN n:result: -2024-10-29 15:34:22,830 - lightrag - INFO - get_node:query:MATCH (n:`TOPPER`) RETURN n:result:"Topper is a character who participates in the dinner and seems to have an interest in one of Scrooge\'s niece\'s sisters.""Topper is a guest at the Christmas party, representing the jovial and festive spirit of the gathering with Fred and Scrooge."', 'source_id': 'chunk-94bea83e7153fc2064aa382b494936a1chunk-773d0df1dd25c356f7b771d780583e09chunk-43c9bee23adfa77aa9dedd22401bba7d'}> -2024-10-29 15:34:22,916 - lightrag - INFO - get_node:query:MATCH (n:`THE GRATE`) RETURN n:result: -2024-10-29 15:34:23,003 - lightrag - INFO - get_node:query:MATCH (n:`SCHOOL`) RETURN n:result: -2024-10-29 15:34:23,090 - lightrag - INFO - get_node:query:MATCH (n:`MULTITUDES`) RETURN n:result: -2024-10-29 15:34:23,179 - lightrag - INFO - get_node:query:MATCH (n:`THE MAIN STREET`) RETURN n:result: -2024-10-29 15:34:23,264 - lightrag - INFO - get_node:query:MATCH (n:`THE SCHOOLMASTER`) RETURN n:result: -2024-10-29 15:34:23,347 - lightrag - INFO - get_node:query:MATCH (n:`MARLEY`) RETURN n:result:"Marley is Scrooge\'s deceased partner whose death is emphasized, and who impacts Scrooge\'s story through memories and reflections.""Marley is a character who, although only mentioned, has had a significant influence on Scrooge\'s life and perspective, representing his past connections.""Marley is a deceased character whose ghost appears to Scrooge, representing regret and the consequences of a life led without compassion."', 'source_id': 'chunk-d9aac3484185ac66045df92214d245d5chunk-843b5b2f944c7413d9ca876e2e2f151fchunk-89777b838d5447c7bd1ec11282c4ee89chunk-9c43dac2fcd5b578242d907ea6f8fc7b'}> -2024-10-29 15:34:23,435 - lightrag - INFO - get_node:query:MATCH (n:`MRS. CRATCHIT`) RETURN n:result:"Mrs. Cratchit is Bob Cratchit\'s supportive wife, who strives to provide for her family despite their financial struggles and embodies resilience.""Mrs. Cratchit is Bob\'s wife who prepares the Christmas pudding, showcasing her pride and care in family traditions.""Mrs. Cratchit is Bob\'s wife, a supportive mother who manages the household while showing concern for her children\'s well-being.""Mrs. Cratchit is Bob\'s wife, portrayed as making an effort to prepare a festive atmosphere despite their financial struggles.""Mrs. Cratchit is a character who shows affection towards Bob, enhancing the family dynamic.""Mrs. Cratchit is the mother in the family who prepares the meal and shows warmth and attentiveness towards her family members during their Christmas celebration."', 'source_id': 'chunk-503f0bfa5453467c7c61d160a3540ecachunk-b0f459f5af1c3a5e0b92cbe4ee48b77bchunk-91572b3cd42786ba4cb2f180ca25cbf4chunk-1d4b58de5429cd1261370c231c8673e8chunk-7e2e7ebcc19a53b399dc03aded4743e7chunk-9e3921da66da5d761ab73cd849af6c43chunk-19d72c57ae3408758b18d2568e86dc6b'}> -2024-10-29 15:34:23,522 - lightrag - INFO - get_node:query:MATCH (n:`GAOL`) RETURN n:result: -2024-10-29 15:34:23,610 - lightrag - INFO - get_node:query:MATCH (n:`THE DECEASED`) RETURN n:result: -2024-10-29 15:34:23,697 - lightrag - INFO - get_node:query:MATCH (n:`CHRISTMAS-TIME`) RETURN n:result:"Christmas-time represents the festive season, a recurring theme that evokes memories and emotions in Scrooge’s reflections.""Christmas-time serves as a backdrop for the narrative, emphasizing themes of reflection, mortality, and social interactions."', 'source_id': 'chunk-f1a4fbcf1ed86864b9bfd5e8dba4c683chunk-c6c248858d1b13ab7ee9ca13c1aeed6bchunk-5dac41b3f9eeaf794f0147400b1718cd'}> -2024-10-29 15:34:23,788 - lightrag - INFO - get_node:query:MATCH (n:`DICK`) RETURN n:result: -2024-10-29 15:34:23,876 - lightrag - INFO - get_node:query:MATCH (n:`THE CLOCK`) RETURN n:result:"The Clock is mentioned as malfunctioning, which symbolizes the confusion and distortion of time that Scrooge experiences during his nighttime visitations."', 'source_id': 'chunk-c7b10789a9cb0af6c553730b29bd9034chunk-cb661c37436355ccec2769b1d0350c5f'}> -2024-10-29 15:34:23,965 - lightrag - INFO - get_node:query:MATCH (n:`FROST`) RETURN n:result: -2024-10-29 15:34:24,050 - lightrag - INFO - get_node:query:MATCH (n:`SCROOGE'S NIECE`) RETURN n:result:"Scrooge\'s niece is depicted as a joyful participant in the evening\'s festivities, engaging in games and music."', 'source_id': 'chunk-773d0df1dd25c356f7b771d780583e09chunk-43c9bee23adfa77aa9dedd22401bba7d'}> -2024-10-29 15:34:24,136 - lightrag - INFO - get_node:query:MATCH (n:`MR. MARLEY`) RETURN n:result: -2024-10-29 15:34:24,223 - lightrag - INFO - get_node:query:MATCH (n:`MISTLETOE`) RETURN n:result: -2024-10-29 15:34:24,310 - lightrag - INFO - get_node:query:MATCH (n:`THE FATHER`) RETURN n:result: -2024-10-29 15:34:24,396 - lightrag - INFO - get_node:query:MATCH (n:`BAD REPUTE`) RETURN n:result: -2024-10-29 15:34:24,488 - lightrag - INFO - get_node:query:MATCH (n:`FRENCH PLUMS`) RETURN n:result: -2024-10-29 15:34:24,575 - lightrag - INFO - get_node:query:MATCH (n:`PROJECT GUTENBERG`) RETURN n:result:"Project Gutenberg is a digital library providing free access to a wide range of eBooks, primarily in the United States and other regions, under specific licensing terms.""Project Gutenberg is an organization dedicated to the free distribution of electronic works and the preservation of the cultural heritage by providing access to public domain literature."', 'source_id': 'chunk-194cd9680f4967f48bea89678f7ece21chunk-af4ae173c561e4594c5aea96198cce9dchunk-9e3921da66da5d761ab73cd849af6c43'}> -2024-10-29 15:34:24,660 - lightrag - INFO - get_node:query:MATCH (n:`THE WOMAN`) RETURN n:result:"The Woman is a character involved in the dialogue about the deceased\'s belongings, showing a carefree attitude towards their former owner.""The Woman is a character who enters the shop with a heavy bundle and demonstrates a bold and defiant demeanor, eager to take part in the conversation about the deceased\'s belongings."', 'source_id': 'chunk-60fc063c79fc0d4acc91a57e79de04dcchunk-89777b838d5447c7bd1ec11282c4ee89chunk-e1f29eeadc1d8ab46dc8a0bbd3c56b64'}> -2024-10-29 15:34:24,746 - lightrag - INFO - get_node:query:MATCH (n:`CHRISTMAS DAY`) RETURN n:result:"Christmas Day is a significant holiday that marks the time of Scrooge\'s revelation and intent to change.""Christmas Day is celebrated by the Cratchit family with a communal meal and expressions of joy and togetherness, highlighting the importance of family and gratitude.""Christmas Day serves as the central event around which the family gathers and reflects on their feelings towards Scrooge."', 'source_id': 'chunk-90b95db5c53e4364a6bee36b7aa4d70fchunk-19d72c57ae3408758b18d2568e86dc6bchunk-7e2e7ebcc19a53b399dc03aded4743e7chunk-b0f459f5af1c3a5e0b92cbe4ee48b77b'}> -2024-10-29 15:34:24,831 - lightrag - INFO - get_node:query:MATCH (n:`THE BLANKETS`) RETURN n:result: -2024-10-29 15:34:24,916 - lightrag - INFO - get_node:query:MATCH (n:`THE CASK`) RETURN n:result: -2024-10-29 15:34:25,005 - lightrag - INFO - get_node:query:MATCH (n:`MARLEY'S GHOST`) RETURN n:result:"Marley\'s Ghost is a spectral visitation that deeply troubles Scrooge and causes him great perplexity, leading him to question the reality of his experiences.""Marley\'s Ghost represents the supernatural apparition of Marley, who has been dead for seven years and symbolizes regret and warning to Scrooge."', 'source_id': 'chunk-c7b10789a9cb0af6c553730b29bd9034chunk-9c43dac2fcd5b578242d907ea6f8fc7bchunk-cb661c37436355ccec2769b1d0350c5f'}> -2024-10-29 15:34:25,092 - lightrag - INFO - get_node:query:MATCH (n:`THE COUNTING-HOUSE`) RETURN n:result:"The Counting-House is where Scrooge works and is characterized by its cold and unwelcoming environment."', 'source_id': 'chunk-d9aac3484185ac66045df92214d245d5chunk-74e2466de2f67fd710ef2f20c0a8d9e0'}> -2024-10-29 15:34:25,184 - lightrag - INFO - get_node:query:MATCH (n:`LONDON`) RETURN n:result:"London serves as the setting where the events take place, adding a cultural backdrop to the Christmas gathering."', 'source_id': 'chunk-d9aac3484185ac66045df92214d245d5chunk-43c9bee23adfa77aa9dedd22401bba7d'}> -2024-10-29 15:34:25,273 - lightrag - INFO - get_node:query:MATCH (n:`THE CITY`) RETURN n:result:"The City represents the bustling urban environment where Scrooge reflects on his past, filled with activity and shadowy figures.""The City, from which Scrooge is transported, represents his past life and is contrasted with the open country road that signifies his memories."', 'source_id': 'chunk-bb21d58d36c6306fd8810ddd51c4a971chunk-c6c248858d1b13ab7ee9ca13c1aeed6bchunk-74e2466de2f67fd710ef2f20c0a8d9e0'}> -2024-10-29 15:34:25,362 - lightrag - INFO - get_node:query:MATCH (n:`THE VISITOR`) RETURN n:result: -2024-10-29 15:34:25,452 - lightrag - INFO - get_node:query:MATCH (n:`THE LAMPLIGHTER`) RETURN n:result: -2024-10-29 15:34:25,538 - lightrag - INFO - get_node:query:MATCH (n:`SCROOGE'S NEPHEW`) RETURN n:result:"Scrooge\'s Nephew is characterized by his contagious laughter and good humor, contrasting with his uncle\'s miserliness.""Scrooge\'s Nephew is portrayed as optimistic about Christmas, emphasizing its positive qualities despite Scrooge\'s negativity.""Scrooge\'s nephew is a character present at the gathering who actively participates in the games and engages with his family."', 'source_id': 'chunk-43c9bee23adfa77aa9dedd22401bba7dchunk-773d0df1dd25c356f7b771d780583e09chunk-74e2466de2f67fd710ef2f20c0a8d9e0chunk-5dac41b3f9eeaf794f0147400b1718cd'}> -2024-10-29 15:34:25,623 - lightrag - INFO - get_node:query:MATCH (n:`THE COLD`) RETURN n:result: -2024-10-29 15:34:25,709 - lightrag - INFO - get_node:query:MATCH (n:`IGNORANCE`) RETURN n:result:"Ignorance is personified as a boy that symbolizes the dangers of ignoring social issues and the consequences of a lack of awareness."', 'source_id': 'chunk-02baee20cc9463dbe08170a8e1043e32chunk-e7637ff18c5ded77a68cce0a87883fad'}> -2024-10-29 15:34:25,794 - lightrag - INFO - get_node:query:MATCH (n:`BOB`) RETURN n:result:"Bob is referenced humorously by Scrooge in the context of a joke regarding a large turkey."', 'source_id': 'chunk-8f738cb25d60a7dab782162d9d0a25edchunk-91572b3cd42786ba4cb2f180ca25cbf4'}> -2024-10-29 15:34:25,891 - lightrag - INFO - get_node:query:MATCH (n:`ALMSHOUSE`) RETURN n:result: -2024-10-29 15:34:25,981 - lightrag - INFO - get_node:query:MATCH (n:`TWELFTH-NIGHT PARTY`) RETURN n:result: -2024-10-29 15:34:26,077 - lightrag - INFO - get_node:query:MATCH (n:`CHESTNUTS`) RETURN n:result: -2024-10-29 15:34:26,163 - lightrag - INFO - get_node:query:MATCH (n:`THE SPIRITS`) RETURN n:result:"The Spirits represent the past, present, and future in Scrooge\'s life, guiding him toward redemption and self-reflection."', 'source_id': 'chunk-90b95db5c53e4364a6bee36b7aa4d70fchunk-cb661c37436355ccec2769b1d0350c5f'}> -2024-10-29 15:34:26,250 - lightrag - INFO - get_node:query:MATCH (n:`GHOST OF CHRISTMAS YET TO COME`) RETURN n:result:"The Ghost of Christmas Yet to Come is an event within the story that signifies Scrooge\'s confrontation with the future consequences of his actions."', 'source_id': 'chunk-9e3921da66da5d761ab73cd849af6c43chunk-02baee20cc9463dbe08170a8e1043e32'}> -2024-10-29 15:34:26,344 - lightrag - INFO - get_node:query:MATCH (n:`CHRISTMAS`) RETURN n:result:"Christmas is a festive occasion that has led to a joyful transformation in Scrooge\'s character and actions.""Christmas is a festive time celebrated by the Cratchit family, symbolizing joy, family togetherness, and generosity.""Christmas is a significant holiday that serves as the backdrop for Scrooge\'s transformation and the events that unfold during the narrative.""Christmas is a significant holiday that triggers Scrooge\'s memories and reflections on joy, loneliness, and his past.""Christmas is central to the text, symbolizing generosity, charity, and warmth that Scrooge rejects.""Christmas is depicted as a festive season when charity and social duty are emphasized, contrasting with Scrooge\'s values.""Christmas is depicted as a time associated with joy and abundance, contrasting with Scrooge\'s initial views.""Christmas is depicted as a time of joy and communal spirit, marked by people\'s activities and interactions in the streets.""Christmas is depicted as a time of joy and generosity, contrasting sharply with Scrooge\'s past behavior and current solitude.""Christmas is portrayed as a festive time that Scrooge dismisses, emphasizing the contrast between joy and his miserable attitude.""Christmas is portrayed as a time of joy, reflection, and connection, emphasizing the positive impact of the holiday spirit on individuals and communities.""Christmas is presented as a time for merriment and social gatherings, which Scrooge\'s nephew advocates for despite his uncle\'s opposition.""Christmas is the central holiday during which the events unfold, leading to significant character transformations and themes of generosity.""Christmas is the season during which festive activities and celebrations are occurring, including dances and gatherings.""Christmas represents a time of reflection and change for Scrooge, emphasizing themes of redemption.""Christmas serves as a thematic backdrop for the story, symbolizing redemption, generosity, and the spirit of giving."', 'source_id': 'chunk-91614df5cb74cbe5e109a338a82041e9chunk-503f0bfa5453467c7c61d160a3540ecachunk-773d0df1dd25c356f7b771d780583e09chunk-8f738cb25d60a7dab782162d9d0a25edchunk-e7637ff18c5ded77a68cce0a87883fadchunk-8590d9263cd2cd4fa583c432fc54e6c3chunk-54bdd22db1f84a965b5f4c06c9216d8dchunk-02baee20cc9463dbe08170a8e1043e32chunk-90d5764e301321c087f5a8f78b73a145chunk-91572b3cd42786ba4cb2f180ca25cbf4chunk-1d4b58de5429cd1261370c231c8673e8chunk-da2472b4ef2a535b62908f14d0fb0ca9chunk-94bea83e7153fc2064aa382b494936a1chunk-89777b838d5447c7bd1ec11282c4ee89chunk-99b0ec7f7e006561352b5d65e849611dchunk-74e2466de2f67fd710ef2f20c0a8d9e0chunk-5dac41b3f9eeaf794f0147400b1718cd'}> -2024-10-29 15:34:26,432 - lightrag - INFO - get_node:query:MATCH (n:`THE BELL`) RETURN n:result:"The Bell is described as a disused bell that starts to swing and ring during the haunting, signifying the onset of supernatural occurrences."', 'source_id': 'chunk-9c43dac2fcd5b578242d907ea6f8fc7bchunk-cb661c37436355ccec2769b1d0350c5f'}> -2024-10-29 15:34:26,520 - lightrag - INFO - get_node:query:MATCH (n:`GHOST OF CHRISTMAS PAST`) RETURN n:result:"The Ghost of Christmas Past is a supernatural entity that aids Scrooge in reflecting on his past experiences and emotions."', 'source_id': 'chunk-bb21d58d36c6306fd8810ddd51c4a971chunk-9e3921da66da5d761ab73cd849af6c43'}> -2024-10-29 15:34:26,609 - lightrag - INFO - get_node:query:MATCH (n:`MASTER SCROOGE`) RETURN n:result: -2024-10-29 15:34:26,694 - lightrag - INFO - get_node:query:MATCH (n:`THE YOUNG GIRL`) RETURN n:result: -2024-10-29 15:34:26,783 - lightrag - INFO - get_node:query:MATCH (n:`WEALTH`) RETURN n:result: -2024-10-29 15:34:26,872 - lightrag - INFO - get_node:query:MATCH (n:`THE WAREHOUSE`) RETURN n:result:"The Warehouse is the setting for Fezziwig\'s celebrations, transformed into a ballroom for the festivities."', 'source_id': 'chunk-c6c248858d1b13ab7ee9ca13c1aeed6bchunk-8bc1edd983869352d14cf0886a9175a7'}> -2024-10-29 15:34:26,958 - lightrag - INFO - get_node:query:MATCH (n:`CHRISTMAS CAROL`) RETURN n:result:"The Christmas Carol is a musical tradition performed during the Christmas season, symbolizing goodwill and festive spirit."', 'source_id': 'chunk-90d5764e301321c087f5a8f78b73a145chunk-8590d9263cd2cd4fa583c432fc54e6c3'}> -2024-10-29 15:34:27,046 - lightrag - INFO - get_node:query:MATCH (n:`THE LOW-BROWED SHOP`) RETURN n:result: -2024-10-29 15:34:27,131 - lightrag - INFO - get_node:query:MATCH (n:`GHOST OF CHRISTMAS PRESENT`) RETURN n:result:"The Ghost of Christmas Present is a spirit that reveals to Scrooge the joys and struggles of the present Christmas season, emphasizing generosity and compassion."', 'source_id': 'chunk-843b5b2f944c7413d9ca876e2e2f151fchunk-9e3921da66da5d761ab73cd849af6c43'}> -2024-10-29 15:34:27,217 - lightrag - INFO - get_node:query:MATCH (n:`THE DRESSING-GOWN`) RETURN n:result: -2024-10-29 15:34:27,303 - lightrag - INFO - get_node:query:MATCH (n:`CITY`) RETURN n:result:"The City represents the urban setting where Scrooge witnesses the indifference of its inhabitants regarding his death.""The City represents the urban setting where Scrooge\'s transformation takes place, symbolizing the broader society impacted by his changes."', 'source_id': 'chunk-843b5b2f944c7413d9ca876e2e2f151fchunk-94bea83e7153fc2064aa382b494936a1chunk-02baee20cc9463dbe08170a8e1043e32'}> -2024-10-29 15:34:27,392 - lightrag - INFO - get_node:query:MATCH (n:`THE FROZEN MOOR`) RETURN n:result: -2024-10-29 15:34:27,483 - lightrag - INFO - get_node:query:MATCH (n:`THE POULTERER'S`) RETURN n:result: -2024-10-29 15:34:27,574 - lightrag - INFO - get_node:query:MATCH (n:`THE GHOST OF MARLEY`) RETURN n:result: -2024-10-29 15:34:27,662 - lightrag - INFO - get_node:query:MATCH (n:`SPIRIT`) RETURN n:result:"The Spirit embodies the lessons of compassion and social responsibility, guiding Scrooge through his reflections and realizations.""The Spirit is the manifestation of Scrooge\'s past that guides him through his memories, representing his former self and the influence of time.""The Spirit represents a ghostly entity, guiding Scrooge through visions of potential future events and urging him to acknowledge societal issues.""The Spirit represents a supernatural entity guiding Scrooge through his reflections on life, death, and human emotions, prompting self-awareness.""The Spirit represents the embodiment of the Christmas present, personifying the themes of generosity and merriment."', 'source_id': 'chunk-bb21d58d36c6306fd8810ddd51c4a971chunk-83ac129dc9b56f84c46760d153d68e93chunk-e7637ff18c5ded77a68cce0a87883fadchunk-843b5b2f944c7413d9ca876e2e2f151fchunk-1aa50206d02ed89418f65f97c6441d1cchunk-02baee20cc9463dbe08170a8e1043e32'}> -2024-10-29 15:34:27,749 - lightrag - INFO - get_node:query:MATCH (n:`THE CHURCH`) RETURN n:result: -2024-10-29 15:34:27,834 - lightrag - INFO - get_node:query:MATCH (n:`FRIDAY`) RETURN n:result: -2024-10-29 15:34:27,920 - lightrag - INFO - get_node:query:MATCH (n:`THE PRESENT`) RETURN n:result: -2024-10-29 15:34:28,008 - lightrag - INFO - get_node:query:MATCH (n:`CAMDEN TOWN`) RETURN n:result:"Camden Town is a location where Bob Cratchit runs home to celebrate Christmas Eve, representing a more joyful and lively setting."', 'source_id': 'chunk-d9aac3484185ac66045df92214d245d5chunk-8f738cb25d60a7dab782162d9d0a25ed'}> -2024-10-29 15:34:28,096 - lightrag - INFO - get_node:query:MATCH (n:`APPLES`) RETURN n:result: -2024-10-29 15:34:28,185 - lightrag - INFO - get_node:query:MATCH (n:`THE PEOPLE`) RETURN n:result: -2024-10-29 15:34:28,277 - lightrag - INFO - get_node:query:MATCH (n:`MANKIND`) RETURN n:result: -2024-10-29 15:34:28,366 - lightrag - INFO - get_node:query:MATCH (n:`THE OBSCURE PART OF TOWN`) RETURN n:result: -2024-10-29 15:34:28,455 - lightrag - INFO - get_node:query:MATCH (n:`HUMANITY`) RETURN n:result: -2024-10-29 15:34:28,543 - lightrag - INFO - get_node:query:MATCH (n:`THE GROCERS`) RETURN n:result: -2024-10-29 15:34:28,632 - lightrag - INFO - get_node:query:MATCH (n:`THE GHOST OF CHRISTMAS PRESENT`) RETURN n:result:"The Ghost of Christmas Present is a supernatural being that shows Scrooge the true spirit of Christmas, including kindness towards the poor.""The Ghost of Christmas Present signifies abundance and the spirit of joy that Scrooge is encouraged to embrace."', 'source_id': 'chunk-90b95db5c53e4364a6bee36b7aa4d70fchunk-43c9bee23adfa77aa9dedd22401bba7dchunk-b0f459f5af1c3a5e0b92cbe4ee48b77b'}> -2024-10-29 15:34:28,720 - lightrag - INFO - get_node:query:MATCH (n:`JACOB MARLEY`) RETURN n:result:"Jacob Marley is Scrooge\'s deceased business partner, who appears as a ghost to warn Scrooge of his impending fate and the need for change.""Jacob Marley is a deceased character who symbolizes the consequences of a life led without compassion, influencing Scrooge\'s redemption.""Jacob Marley is a ghost who appears to Scrooge, having been his business partner in life, and is now bound by chains that signify his earthly ties and regrets.""Jacob Marley is the ghost of Scrooge\'s former business partner, who seeks to impart a lesson about the consequences of a life lived without compassion or connection to humanity.""Jacob Marley is the ghost who represents Scrooge\'s past and serves as a catalyst for his change."', 'source_id': 'chunk-90b95db5c53e4364a6bee36b7aa4d70fchunk-1aa50206d02ed89418f65f97c6441d1cchunk-02baee20cc9463dbe08170a8e1043e32chunk-91572b3cd42786ba4cb2f180ca25cbf4chunk-da2472b4ef2a535b62908f14d0fb0ca9chunk-359187e7571bda4b0b08b2e0b6581e52'}> -2024-10-29 15:34:28,807 - lightrag - INFO - get_node:query:MATCH (n:`THE SITTING ROOM`) RETURN n:result: -2024-10-29 15:34:28,892 - lightrag - INFO - get_node:query:MATCH (n:`DARKNESS`) RETURN n:result: -2024-10-29 15:34:28,983 - lightrag - INFO - get_node:query:MATCH (n:`MARKET-TOWN`) RETURN n:result: -2024-10-29 15:34:29,076 - lightrag - INFO - get_node:query:MATCH (n:`CHILDREN`) RETURN n:result:"The Children represent the joyful, carefree aspects of Scrooge\'s past, embodying happiness and the innocence of youth that he has long forgotten."', 'source_id': 'chunk-bb21d58d36c6306fd8810ddd51c4a971chunk-e7637ff18c5ded77a68cce0a87883fad'}> -2024-10-29 15:34:29,162 - lightrag - INFO - get_node:query:MATCH (n:`FOG`) RETURN n:result:"Fog is a weather phenomenon that adds to the bleak atmosphere, reflecting the obscurity and confusion in Scrooge\'s life."', 'source_id': 'chunk-d9aac3484185ac66045df92214d245d5chunk-74e2466de2f67fd710ef2f20c0a8d9e0'}> -2024-10-29 15:34:29,251 - lightrag - INFO - get_node:query:MATCH (n:`THE FUNERAL`) RETURN n:result: -2024-10-29 15:34:29,339 - lightrag - INFO - get_node:query:MATCH (n:`SHADOW OF HIMSELF`) RETURN n:result: -2024-10-29 15:34:29,432 - lightrag - INFO - get_node:query:MATCH (n:`SCROOGE`) RETURN n:result:chunk-b2f98bc7abb0c67d4c86055c7fd72218chunk-91614df5cb74cbe5e109a338a82041e9chunk-8f738cb25d60a7dab782162d9d0a25edchunk-e7637ff18c5ded77a68cce0a87883fadchunk-d9aac3484185ac66045df92214d245d5chunk-90b95db5c53e4364a6bee36b7aa4d70fchunk-89777b838d5447c7bd1ec11282c4ee89chunk-c6c248858d1b13ab7ee9ca13c1aeed6bchunk-5dac41b3f9eeaf794f0147400b1718cdchunk-773d0df1dd25c356f7b771d780583e09chunk-843b5b2f944c7413d9ca876e2e2f151fchunk-f1a4fbcf1ed86864b9bfd5e8dba4c683chunk-359187e7571bda4b0b08b2e0b6581e52chunk-503f0bfa5453467c7c61d160a3540ecachunk-9c43dac2fcd5b578242d907ea6f8fc7bchunk-b0f459f5af1c3a5e0b92cbe4ee48b77bchunk-1aa50206d02ed89418f65f97c6441d1cchunk-54bdd22db1f84a965b5f4c06c9216d8dchunk-cb661c37436355ccec2769b1d0350c5fchunk-90d5764e301321c087f5a8f78b73a145chunk-91572b3cd42786ba4cb2f180ca25cbf4chunk-da2472b4ef2a535b62908f14d0fb0ca9chunk-99b0ec7f7e006561352b5d65e849611dchunk-43c9bee23adfa77aa9dedd22401bba7dchunk-83ac129dc9b56f84c46760d153d68e93chunk-e1f29eeadc1d8ab46dc8a0bbd3c56b64chunk-8590d9263cd2cd4fa583c432fc54e6c3chunk-02baee20cc9463dbe08170a8e1043e32chunk-94bea83e7153fc2064aa382b494936a1chunk-74e2466de2f67fd710ef2f20c0a8d9e0chunk-19d72c57ae3408758b18d2568e86dc6b'}> -2024-10-29 15:34:29,521 - lightrag - INFO - get_node:query:MATCH (n:`TINY TIM`) RETURN n:result:"Tiny Tim is a member of the Cratchit family, who represents the innocence and impact of Scrooge\'s generosity.""Tiny Tim is a symbol of innocence and vulnerability within the Cratchit family, evoking compassion and highlighting the harsh realities of illness and poverty.""Tiny Tim is a symbolic character representing innocence and the impact of loss on family cohesion.""Tiny Tim is a young boy in the Cratchit family, characterized by his spirit and resilience despite being a cripple, symbolizing hope and kindness during Christmas.""Tiny Tim is a young boy in the Cratchit family, who is portrayed as frail yet joyous and embodies the spirit of Christmas.""Tiny Tim is a young child in the Cratchit family, whose health and well-being are of great concern to his family, and he is remembered fondly.""Tiny Tim is depicted as a vulnerable child who participates in the Christmas toast but seems indifferent to it, symbolizing the family\'s struggles.""Tiny Tim, the son of Bob Cratchit, is a sickly child whose positive outlook on life symbolizes hope and compassion in A Christmas Carol."', 'source_id': 'chunk-83ac129dc9b56f84c46760d153d68e93chunk-503f0bfa5453467c7c61d160a3540ecachunk-91572b3cd42786ba4cb2f180ca25cbf4chunk-1d4b58de5429cd1261370c231c8673e8chunk-90b95db5c53e4364a6bee36b7aa4d70fchunk-94bea83e7153fc2064aa382b494936a1chunk-7e2e7ebcc19a53b399dc03aded4743e7chunk-9e3921da66da5d761ab73cd849af6c43chunk-19d72c57ae3408758b18d2568e86dc6b'}> -2024-10-29 15:34:29,612 - lightrag - INFO - get_node:query:MATCH (n:`ARTHUR RACKHAM`) RETURN n:result: -2024-10-29 15:34:29,701 - lightrag - INFO - get_node:query:MATCH (n:`THE GRAVE`) RETURN n:result: -2024-10-29 15:34:29,785 - lightrag - INFO - get_node:query:MATCH (n:`THE BED`) RETURN n:result: -2024-10-29 15:34:29,872 - lightrag - INFO - get_node:query:MATCH (n:`FRED`) RETURN n:result:"Fred is Scrooge\'s nephew who expresses admiration for his uncle and proposes a toast in his honor during a Christmas gathering.""Fred is Scrooge\'s nephew, mentioned in the context of Scrooge\'s visit to his house.""Fred is Scrooge\'s nephew, representing the warmth and joy of family that Scrooge initially rejects.""Fred is Scrooge\'s niece by marriage who expresses surprise and warmth at Scrooge\'s unexpected visit for dinner."', 'source_id': 'chunk-8f738cb25d60a7dab782162d9d0a25edchunk-e7637ff18c5ded77a68cce0a87883fadchunk-94bea83e7153fc2064aa382b494936a1chunk-89777b838d5447c7bd1ec11282c4ee89chunk-9e3921da66da5d761ab73cd849af6c43'}> -2024-10-29 15:34:29,959 - lightrag - INFO - get_node:query:MATCH (n:`THE TURKEY`) RETURN n:result: -2024-10-29 15:34:30,046 - lightrag - INFO - get_node:query:MATCH (n:`THE MANSION HOUSE`) RETURN n:result: -2024-10-29 15:34:30,132 - lightrag - INFO - get_node:query:MATCH (n:`VALENTINE`) RETURN n:result: -2024-10-29 15:34:30,217 - lightrag - INFO - get_node:query:MATCH (n:`CRATCHIT FAMILY`) RETURN n:result:"The Cratchit Family is portrayed as a close-knit group who, despite their hardships, find joy and gratitude during the Christmas gathering.""The Cratchit Family is portrayed as a loving unit celebrating Christmas together, with various members actively participating in the festivities.""The Cratchit family represents a unit bound by love and resilience in the face of adversity, dealing with emotional and financial struggles."', 'source_id': 'chunk-83ac129dc9b56f84c46760d153d68e93chunk-503f0bfa5453467c7c61d160a3540ecachunk-7e2e7ebcc19a53b399dc03aded4743e7chunk-19d72c57ae3408758b18d2568e86dc6b'}> -2024-10-29 15:34:30,301 - lightrag - INFO - get_node:query:MATCH (n:`BUSINESSMEN`) RETURN n:result: -2024-10-29 15:34:30,388 - lightrag - INFO - get_node:query:MATCH (n:`THE MOTHER`) RETURN n:result:"The Mother is a character associated with the family dynamics during the Christmas scene, though her actions are not explicitly detailed.""The Mother is depicted as a comely matron, who enjoys the laughter and chaos with her children, showing warmth and family value."', 'source_id': 'chunk-da2472b4ef2a535b62908f14d0fb0ca9chunk-83ac129dc9b56f84c46760d153d68e93chunk-54bdd22db1f84a965b5f4c06c9216d8d'}> -2024-10-29 15:34:30,477 - lightrag - INFO - get_node:query:MATCH (n:`THE THREE SPIRITS`) RETURN n:result: -2024-10-29 15:34:30,565 - lightrag - INFO - get_node:query:MATCH (n:`FEZZIWIG`) RETURN n:result:"Fezziwig is a figure representing a cheerful and jovial employer who organizes lively Christmas festivities for his employees.""Fezziwig is a jovial figure from Scrooge\'s past, known for his kind-heartedness and as a former employer who embodies the spirit of Christmas.""Fezziwig is depicted as a joyful character who dances with his wife and embodies the spirit of Christmas."', 'source_id': 'chunk-b2f98bc7abb0c67d4c86055c7fd72218chunk-89777b838d5447c7bd1ec11282c4ee89chunk-c6c248858d1b13ab7ee9ca13c1aeed6bchunk-8bc1edd983869352d14cf0886a9175a7'}> -2024-10-29 15:34:30,654 - lightrag - INFO - get_node:query:MATCH (n:`THE HOUSE`) RETURN n:result:"The House is the setting where Scrooge experiences the haunting, with a description of its features contributing to the eerie atmosphere."', 'source_id': 'chunk-da2472b4ef2a535b62908f14d0fb0ca9chunk-9c43dac2fcd5b578242d907ea6f8fc7b'}> -2024-10-29 15:34:30,743 - lightrag - INFO - get_node:query:MATCH (n:`STREET`) RETURN n:result: -2024-10-29 15:34:30,828 - lightrag - INFO - get_node:query:MATCH (n:`THE PAST`) RETURN n:result: -2024-10-29 15:34:30,913 - lightrag - INFO - get_node:query:MATCH (n:`CHARLES DICKENS`) RETURN n:result: -2024-10-29 15:34:31,002 - lightrag - INFO - get_node:query:MATCH (n:`THE GIRL`) RETURN n:result:"The Girl is referenced in relation to The Boy, highlighting the dynamics of the young attendees at the Fezziwig\'s celebrations."', 'source_id': 'chunk-8f738cb25d60a7dab782162d9d0a25edchunk-8bc1edd983869352d14cf0886a9175a7'}> -2024-10-29 15:34:31,091 - lightrag - INFO - get_node:query:MATCH (n:`GREAT BRITAIN`) RETURN n:result: -2024-10-29 15:34:31,180 - lightrag - INFO - get_node:query:MATCH (n:`THE DAUGHTER`) RETURN n:result: -2024-10-29 15:34:31,268 - lightrag - INFO - get_node:query:MATCH (n:`BELLE`) RETURN n:result: -2024-10-29 15:34:31,354 - lightrag - INFO - get_node:query:MATCH (n:`DEATH`) RETURN n:result:"Death is described as a powerful force in the narrative, represented through the imagery of a cold, rigid presence and the contemplation of mortality.""Death refers to the passing of a character that triggers a range of emotions and reflections among the living, influencing their lives and relationships."', 'source_id': 'chunk-e1f29eeadc1d8ab46dc8a0bbd3c56b64chunk-83ac129dc9b56f84c46760d153d68e93chunk-02baee20cc9463dbe08170a8e1043e32'}> -2024-10-29 15:34:31,441 - lightrag - INFO - get_node:query:MATCH (n:`THE FUTURE`) RETURN n:result:"The Future represents the potential outcomes of Scrooge’s life choices, depicted through the visions shown by the Spirits."', 'source_id': 'chunk-91572b3cd42786ba4cb2f180ca25cbf4chunk-02baee20cc9463dbe08170a8e1043e32'}> -2024-10-29 15:34:31,530 - lightrag - INFO - get_node:query:MATCH (n:`SPANISH ONIONS`) RETURN n:result: -2024-10-29 15:34:31,619 - lightrag - INFO - get_node:query:MATCH (n:`SUNDAY CLOTHES BOY`) RETURN n:result: -2024-10-29 15:34:31,709 - lightrag - INFO - get_node:query:MATCH (n:`GHOST`) RETURN n:result:"The Ghost refers to the spirit guiding Scrooge, embodying the themes of memory and reflection on the joys of Christmas.""The Ghost represents a spiritual guide that takes Scrooge on a journey to learn important lessons about compassion and humanity.""The Ghost serves as a supernatural guide for Scrooge, prompting him to reflect on his life and choices."', 'source_id': 'chunk-503f0bfa5453467c7c61d160a3540ecachunk-c6c248858d1b13ab7ee9ca13c1aeed6bchunk-e7637ff18c5ded77a68cce0a87883fadchunk-43c9bee23adfa77aa9dedd22401bba7d'}> -2024-10-29 15:34:31,797 - lightrag - INFO - get_node:query:MATCH (n:`THE GHOST`) RETURN n:result:"The Ghost is a supernatural entity that shows Scrooge scenes from his past to provoke realization and remorse.""The Ghost refers specifically to the supernatural presence guiding Scrooge through his reflections and past experiences.""The Ghost represents the spirit of Jacob Marley, warning Scrooge about the aftereffects of neglecting human virtue and kindness during life.""The Ghost represents various spectral entities that visit Scrooge to facilitate his transformation by highlighting the consequences of his actions.""The Ghost serves as a guiding presence that helps Scrooge confront and reflect on his past during Christmas."', 'source_id': 'chunk-8590d9263cd2cd4fa583c432fc54e6c3chunk-54bdd22db1f84a965b5f4c06c9216d8dchunk-1aa50206d02ed89418f65f97c6441d1cchunk-02baee20cc9463dbe08170a8e1043e32chunk-da2472b4ef2a535b62908f14d0fb0ca9chunk-359187e7571bda4b0b08b2e0b6581e52'}> -2024-10-29 15:34:31,885 - lightrag - INFO - get_node:query:MATCH (n:`THE BOY`) RETURN n:result:"The Boy is a young messenger who interacts with Scrooge during his purchase of the turkey."', 'source_id': 'chunk-8f738cb25d60a7dab782162d9d0a25edchunk-8bc1edd983869352d14cf0886a9175a7'}> -2024-10-29 15:34:31,973 - lightrag - INFO - get_node:query:MATCH (n:`WANT`) RETURN n:result: -2024-10-29 15:34:32,062 - lightrag - INFO - get_node:query:MATCH (n:`JACOB`) RETURN n:result: -2024-10-29 15:34:32,145 - lightrag - INFO - get_node:query:MATCH (n:`THE CLERK`) RETURN n:result:"The Clerk is an employee of Scrooge, who quietly awaits the end of the workday and represents the working class.""The Clerk works in Scrooge\'s counting-house, depicted as miserable and diminished under Scrooge\'s strict management."', 'source_id': 'chunk-90d5764e301321c087f5a8f78b73a145chunk-74e2466de2f67fd710ef2f20c0a8d9e0chunk-5dac41b3f9eeaf794f0147400b1718cd'}> -2024-10-29 15:34:32,231 - lightrag - INFO - get_node:query:MATCH (n:`FIGS`) RETURN n:result: -2024-10-29 15:34:32,316 - lightrag - INFO - get_node:query:MATCH (n:`PEARS`) RETURN n:result: -2024-10-29 15:34:32,406 - lightrag - INFO - get_node:query:MATCH (n:`THE SPIRIT`) RETURN n:result:"The Spirit is the entity that guides Scrooge through memories, prompting reflections on his past during the Christmas season.""The Spirit refers to an embodiment of the Christmas message that represents moral guidance and introspection in Scrooge\'s life.""The Spirit refers to the Ghost of Christmas Present, a supernatural figure that guides Scrooge through lessons about generosity and community.""The Spirit refers to the supernatural essence of the Ghost of Christmas Past, embodying the idea of reflection and memory.""The Spirit refers to the supernatural influences that visit Scrooge, particularly the second of the Three Spirits.""The Spirit represents the essence of Christmas cheer and generosity, influencing the atmosphere and morale during the feast.""The Spirit represents the supernatural presence urging Scrooge to reflect deeply on the consequences of his life choices, particularly in relation to Death."', 'source_id': 'chunk-b2f98bc7abb0c67d4c86055c7fd72218chunk-e1f29eeadc1d8ab46dc8a0bbd3c56b64chunk-b0f459f5af1c3a5e0b92cbe4ee48b77bchunk-8590d9263cd2cd4fa583c432fc54e6c3chunk-91572b3cd42786ba4cb2f180ca25cbf4chunk-da2472b4ef2a535b62908f14d0fb0ca9chunk-91614df5cb74cbe5e109a338a82041e9chunk-19d72c57ae3408758b18d2568e86dc6b'}> -2024-10-29 15:34:42,818 - lightrag - INFO - get_edge:query: - MATCH (source:`SCROOGE`)-[r]-(target:`THE TURKEY`) - RETURN r - :result:, ) type='DIRECTED' properties={'keywords': '"generosity, celebration"', 'description': '"Scrooge expresses joy and excitement about the turkey he plans to send, highlighting his generous transformation."', 'weight': 7.0, 'source_id': 'chunk-8f738cb25d60a7dab782162d9d0a25ed'}> -2024-10-29 15:34:42,920 - lightrag - INFO - get_edge:query: - MATCH (source:`A CHRISTMAS CAROL`)-[r]-(target:`ARTHUR RACKHAM`) - RETURN r - :result:, ) type='DIRECTED' properties={'keywords': '"illustration, artistic contribution"', 'description': '"Arthur Rackham illustrated A Christmas Carol, enhancing the visual experience of Dickens\' narrative."', 'weight': 8.0, 'source_id': 'chunk-9e3921da66da5d761ab73cd849af6c43'}> -2024-10-29 15:34:43,014 - lightrag - INFO - get_edge:query: - MATCH (source:`MR. MARLEY`)-[r]-(target:`SCROOGE`) - RETURN r - :result:, ) type='DIRECTED' properties={'keywords': '"past connection, isolation"', 'description': '"Scrooge reflects on Mr. Marley\'s death, highlighting his isolation and connection to past values that he now rejects."', 'weight': 7.0, 'source_id': 'chunk-5dac41b3f9eeaf794f0147400b1718cd'}> -2024-10-29 15:34:43,103 - lightrag - INFO - get_edge:query: - MATCH (source:`FOG`)-[r]-(target:`SCROOGE`) - RETURN r - :result:, ) type='DIRECTED' properties={'keywords': '"atmosphere, emotional reflection"', 'description': '"Fog represents the obscured vision of Scrooge\'s soul and emotions, aligning with his unknowable nature."', 'weight': 8.0, 'source_id': 'chunk-d9aac3484185ac66045df92214d245d5'}> -2024-10-29 15:34:43,196 - lightrag - INFO - get_edge:query: - MATCH (source:`DARKNESS`)-[r]-(target:`SCROOGE`) - RETURN r - :result:, ) type='DIRECTED' properties={'keywords': '"themes, isolation"', 'description': '"Darkness symbolizes Scrooge\'s internal feelings of isolation and regret, presenting the overall mood of his journey towards potential redemption."', 'weight': 9.0, 'source_id': 'chunk-9c43dac2fcd5b578242d907ea6f8fc7b'}> -2024-10-29 15:34:43,293 - lightrag - INFO - get_edge:query: - MATCH (source:`CHRISTMAS`)-[r]-(target:`GEESE`) - RETURN r - :result:, ) type='DIRECTED' properties={'keywords': '"culinary tradition, celebration"', 'description': '"Geese are commonly served at Christmas dinners, forming part of the holiday feast."', 'weight': 9.0, 'source_id': 'chunk-99b0ec7f7e006561352b5d65e849611d'}> -2024-10-29 15:34:43,385 - lightrag - INFO - get_edge:query: - MATCH (source:`SCROOGE`)-[r]-(target:`THE HOUSE`) - RETURN r - :result:, ) type='DIRECTED' properties={'keywords': '"haunting, setting influence"', 'description': '"Scrooge\'s experiences with Marley\'s Ghost occur within The House, which plays a crucial role in the haunting atmosphere."', 'weight': 8.0, 'source_id': 'chunk-9c43dac2fcd5b578242d907ea6f8fc7b'}> -2024-10-29 15:34:43,479 - lightrag - INFO - get_edge:query: - MATCH (source:`SCROOGE`)-[r]-(target:`THE GHOST OF MARLEY`) - RETURN r - :result:, ) type='DIRECTED' properties={'keywords': '"supernatural, moral reckoning"', 'description': '"The Ghost of Marley symbolizes Scrooge\'s past mistakes and serves as a catalyst for his transformation."', 'weight': 9.0, 'source_id': 'chunk-d9aac3484185ac66045df92214d245d5'}> -2024-10-29 15:34:43,573 - lightrag - INFO - get_edge:query: - MATCH (source:`CHRISTMAS`)-[r]-(target:`PEARS`) - RETURN r - :result:, ) type='DIRECTED' properties={'keywords': '"seasonal offerings, tradition"', 'description': '"Pears are part of the fruits offered during the Christmas season, enhancing festive markets."', 'weight': 6.0, 'source_id': 'chunk-99b0ec7f7e006561352b5d65e849611d'}> -2024-10-29 15:34:43,665 - lightrag - INFO - get_edge:query: - MATCH (source:`MANKIND`)-[r]-(target:`SCROOGE`) - RETURN r - :result:, ) type='DIRECTED' properties={'keywords': '"moral responsibility, social awareness"', 'description': '"Scrooge\'s actions and neglect of mankind are highlighted in Marley\'s admonitions, emphasizing the need for connection and care for others."', 'weight': 7.0, 'source_id': 'chunk-359187e7571bda4b0b08b2e0b6581e52'}> -2024-10-29 15:34:43,758 - lightrag - INFO - get_edge:query: - MATCH (source:`CHRISTMAS`)-[r]-(target:`MISTLETOE`) - RETURN r - :result:, ) type='DIRECTED' properties={'keywords': '"festive symbols, joy"', 'description': '"Mistletoe is a traditional decoration that enhances the joy and atmosphere of Christmas."', 'weight': 7.0, 'source_id': 'chunk-99b0ec7f7e006561352b5d65e849611d'}> -2024-10-29 15:34:43,848 - lightrag - INFO - get_edge:query: - MATCH (source:`FOG`)-[r]-(target:`THE CITY`) - RETURN r - :result:, ) type='DIRECTED' properties={'keywords': '"atmosphere, symbolism"', 'description': '"The fog in The City creates a dreary atmosphere, signifying confusion and obscured visibility, paralleling Scrooge\'s cold perspective on life."', 'weight': 6.0, 'source_id': 'chunk-74e2466de2f67fd710ef2f20c0a8d9e0'}> -2024-10-29 15:34:43,945 - lightrag - INFO - get_edge:query: - MATCH (source:`SCROOGE`)-[r]-(target:`SCROOGE'S NEPHEW`) - RETURN r - :result:, ) type='DIRECTED' properties={'keywords': '"family conflict, differing perspectives""family dynamics, contrasting views""family dynamics, opposing views"', 'description': '"Scrooge\'s Nephew contrasts with Scrooge, advocating for merriment and showing pity for his uncle\'s ill tempers.""Scrooge\'s Nephew tries to cheer Scrooge up and promote the joy of Christmas, but is met with rejection and negativity.""Scrooge\'s Nephew tries to convince Scrooge of the joys of Christmas, illustrating the conflict between their differing views on the holiday."', 'weight': 24.0, 'source_id': 'chunk-773d0df1dd25c356f7b771d780583e09chunk-74e2466de2f67fd710ef2f20c0a8d9e0chunk-5dac41b3f9eeaf794f0147400b1718cd'}> -2024-10-29 15:34:44,038 - lightrag - INFO - get_edge:query: - MATCH (source:`JOE`)-[r]-(target:`THE DECEASED`) - RETURN r - :result:, ) type='DIRECTED' properties={'keywords': '"materialism, death"', 'description': '"Joe discusses the belongings and implications of The Deceased\'s life, indicating a financial and material relationship with the dead."', 'weight': 5.0, 'source_id': 'chunk-e1f29eeadc1d8ab46dc8a0bbd3c56b64'}> -2024-10-29 15:34:44,127 - lightrag - INFO - get_edge:query: - MATCH (source:`CHRISTMAS-TIME`)-[r]-(target:`SCROOGE`) - RETURN r - :result:, ) type='DIRECTED' properties={'keywords': '"cynicism, holiday spirit conflict"', 'description': '"Scrooge views Christmas-time as a burden rather than a celebration, contrasting with the feelings of others around him."', 'weight': 9.0, 'source_id': 'chunk-5dac41b3f9eeaf794f0147400b1718cd'}> -2024-10-29 15:34:44,219 - lightrag - INFO - get_edge:query: - MATCH (source:`SCROOGE`)-[r]-(target:`THE BOY`) - RETURN r - :result:, ) type='DIRECTED' properties={'keywords': '"generosity, kindness"', 'description': '"Scrooge interacts with The Boy to deliver the turkey, showing a newfound generosity and connection to others."', 'weight': 8.0, 'source_id': 'chunk-8f738cb25d60a7dab782162d9d0a25ed'}> -2024-10-29 15:34:44,309 - lightrag - INFO - get_edge:query: - MATCH (source:`SCROOGE`)-[r]-(target:`THE OBSCURE PART OF TOWN`) - RETURN r - :result:, ) type='DIRECTED' properties={'keywords': '"confrontation, societal reflection"', 'description': '"Scrooge\'s journey leads him to the Obscure Part of Town, representing his confrontation with the darker aspects of life and society."', 'weight': 9.0, 'source_id': 'chunk-f1a4fbcf1ed86864b9bfd5e8dba4c683'}> -2024-10-29 15:34:44,401 - lightrag - INFO - get_edge:query: - MATCH (source:`SCROOGE`)-[r]-(target:`VALENTINE`) - RETURN r - :result:, ) type='DIRECTED' properties={'keywords': '"family memories, nostalgia"', 'description': '"Scrooge\'s mention of Valentine signifies his memories of familial ties and childhood experiences during Christmas."', 'weight': 6.0, 'source_id': 'chunk-8590d9263cd2cd4fa583c432fc54e6c3'}> -2024-10-29 15:34:44,496 - lightrag - INFO - get_edge:query: - MATCH (source:`CLERK`)-[r]-(target:`SCROOGE`) - RETURN r - :result:, ) type='DIRECTED' properties={'keywords': '"employment relationship, respect"', 'description': '"The Clerk communicates with Scrooge about his work, highlighting the lack of mutual respect in their employer-employee relationship."', 'weight': 5.0, 'source_id': 'chunk-d9aac3484185ac66045df92214d245d5'}> -2024-10-29 15:34:44,587 - lightrag - INFO - get_edge:query: - MATCH (source:`ALI BABA`)-[r]-(target:`SCROOGE`) - RETURN r - :result:, ) type='DIRECTED' properties={'keywords': '"nostalgia, childhood stories"', 'description': '"Scrooge recalls Ali Baba while reflecting on memories of Christmas, indicating a strong personal connection to the story and its impact on him."', 'weight': 8.0, 'source_id': 'chunk-8590d9263cd2cd4fa583c432fc54e6c3'}> -2024-10-29 15:34:44,684 - lightrag - INFO - get_edge:query: - MATCH (source:`A CHRISTMAS CAROL`)-[r]-(target:`CHARLES DICKENS`) - RETURN r - :result:, ) type='DIRECTED' properties={'keywords': '"author, literary impact"', 'description': '"Charles Dickens authored A Christmas Carol, which reflects his views on Victorian society and social issues."', 'weight': 10.0, 'source_id': 'chunk-9e3921da66da5d761ab73cd849af6c43'}> -2024-10-29 15:34:44,775 - lightrag - INFO - get_edge:query: - MATCH (source:`CHRISTMAS`)-[r]-(target:`THE GHOST`) - RETURN r - :result:, ) type='DIRECTED' properties={'keywords': '"spiritual guide, thematic connection"', 'description': '"The Ghosts represent the essence of Christmas, highlighting the themes of generosity and change during this festive time."', 'weight': 8.0, 'source_id': 'chunk-02baee20cc9463dbe08170a8e1043e32'}> -2024-10-29 15:34:44,870 - lightrag - INFO - get_edge:query: - MATCH (source:`GHOST OF CHRISTMAS PRESENT`)-[r]-(target:`SPIRIT`) - RETURN r - :result:, ) type='DIRECTED' properties={'keywords': '"mentoring, generosity"', 'description': '"The Ghost embodies the essence of Christmas present, revealing the themes of joy and abundance to Scrooge."', 'weight': 10.0, 'source_id': 'chunk-843b5b2f944c7413d9ca876e2e2f151f'}> -2024-10-29 15:34:44,964 - lightrag - INFO - get_edge:query: - MATCH (source:`SCROOGE`)-[r]-(target:`THE GHOST OF JACOB MARLEY`) - RETURN r - :result:, ) type='DIRECTED' properties={'keywords': '"transformation, warning"', 'description': '"Scrooge\'s encounter with the Ghost of Jacob Marley initiates his journey of self-reflection and realization."', 'weight': 10.0, 'source_id': 'chunk-90b95db5c53e4364a6bee36b7aa4d70f'}> -2024-10-29 15:34:45,053 - lightrag - INFO - get_edge:query: - MATCH (source:`SCROOGE`)-[r]-(target:`THE FUNERAL`) - RETURN r - :result:, ) type='DIRECTED' properties={'keywords': '"business, emotional detachment"', 'description': '"Scrooge treats The Funeral as a business transaction, showing his cold approach to personal loss and death."', 'weight': 7.0, 'source_id': 'chunk-89777b838d5447c7bd1ec11282c4ee89'}> -2024-10-29 15:34:45,145 - lightrag - INFO - get_edge:query: - MATCH (source:`CHILDREN`)-[r]-(target:`SCROOGE`) - RETURN r - :result:, ) type='DIRECTED' properties={'keywords': '"longing, innocence"', 'description': '"Scrooge\'s reaction to the Children he observes in his memories reveals his longing for the happiness he once knew but has since lost."', 'weight': 7.0, 'source_id': 'chunk-bb21d58d36c6306fd8810ddd51c4a971'}> -2024-10-29 15:34:45,236 - lightrag - INFO - get_edge:query: - MATCH (source:`SCROOGE`)-[r]-(target:`THE GRAVE`) - RETURN r - :result:, ) type='DIRECTED' properties={'keywords': '"mortality, urgency"', 'description': '"Scrooge’s need to confront his own grave signifies the urgency to change his life before it is too late."', 'weight': 8.0, 'source_id': 'chunk-91572b3cd42786ba4cb2f180ca25cbf4'}> -2024-10-29 15:34:45,326 - lightrag - INFO - get_edge:query: - MATCH (source:`MRS. CRATCHIT`)-[r]-(target:`SCROOGE`) - RETURN r - :result:, ) type='DIRECTED' properties={'keywords': '"criticism, emotional conflict"', 'description': '"Mrs. Cratchit openly criticizes Scrooge during the Christmas dinner, expressing her feelings towards him and emphasizing the family\'s resentment."', 'weight': 8.0, 'source_id': 'chunk-19d72c57ae3408758b18d2568e86dc6b'}> -2024-10-29 15:34:45,419 - lightrag - INFO - get_edge:query: - MATCH (source:`THE DAUGHTER`)-[r]-(target:`THE MOTHER`) - RETURN r - :result:, ) type='DIRECTED' properties={'keywords': '"familial love, joy"', 'description': '"The Mother and Daughter share a loving and playful relationship, showcasing familial bonds and joy during the Christmas season."', 'weight': 7.0, 'source_id': 'chunk-54bdd22db1f84a965b5f4c06c9216d8d'}> -2024-10-29 15:34:45,515 - lightrag - INFO - get_edge:query: - MATCH (source:`CHRISTMAS CAROL`)-[r]-(target:`SCROOGE`) - RETURN r - :result:, ) type='DIRECTED' properties={'keywords': '"generosity, connection"', 'description': '"Scrooge recalls a Christmas carol, wishing to give to a boy, which signifies his longing for connection and generosity."', 'weight': 8.0, 'source_id': 'chunk-8590d9263cd2cd4fa583c432fc54e6c3'}> -2024-10-29 15:34:45,607 - lightrag - INFO - get_edge:query: - MATCH (source:`SCROOGE`)-[r]-(target:`SPIRIT`) - RETURN r - :result:, ) type='DIRECTED' properties={'keywords': '"guidance, emotional journey""guidance, transformation""personal growth, spiritual journey""reflection, guidance"', 'description': '"Scrooge engages with the Spirit, who guides him through reflections on his life and warns him of societal issues.""Scrooge learns from the Spirit about the consequences of his actions and the sentiments evoked by death, leading to personal growth.""Scrooge’s interaction with the Spirit emphasizes the emotional weight of his past decisions and feelings as they relate to his transformation.""The Spirit directly influences Scrooge’s transformation and highlights the importance of compassion in human life."', 'weight': 34.0, 'source_id': 'chunk-02baee20cc9463dbe08170a8e1043e32chunk-bb21d58d36c6306fd8810ddd51c4a971chunk-83ac129dc9b56f84c46760d153d68e93chunk-e7637ff18c5ded77a68cce0a87883fad'}> -2024-10-29 15:34:45,699 - lightrag - INFO - get_edge:query: - MATCH (source:`SCROOGE`)-[r]-(target:`THE POULTERER'S`) - RETURN r - :result:, ) type='DIRECTED' properties={'keywords': '"generosity, commerce"', 'description': '"Scrooge interacts with The Poulterer\'s to purchase a turkey as an act of generosity toward Bob Cratchit\'s family."', 'weight': 8.0, 'source_id': 'chunk-90b95db5c53e4364a6bee36b7aa4d70f'}> -2024-10-29 15:34:45,791 - lightrag - INFO - get_edge:query: - MATCH (source:`SCROOGE`)-[r]-(target:`THE PRESENT`) - RETURN r - :result:, ) type='DIRECTED' properties={'keywords': '"change, awareness"', 'description': '"Scrooge emphasizes the importance of living fully in The Present to change his fate going forward."', 'weight': 9.0, 'source_id': 'chunk-91572b3cd42786ba4cb2f180ca25cbf4'}> -2024-10-29 15:34:45,887 - lightrag - INFO - get_edge:query: - MATCH (source:`SCROOGE`)-[r]-(target:`THE GHOST OF CHRISTMAS PAST`) - RETURN r - :result:, ) type='DIRECTED' properties={'keywords': '"introspection, memory"', 'description': '"The Ghost of Christmas Past guides Scrooge through recollections, prompting his introspection about his former self and choices."', 'weight': 10.0, 'source_id': 'chunk-b2f98bc7abb0c67d4c86055c7fd72218'}> -2024-10-29 15:34:45,977 - lightrag - INFO - get_edge:query: - MATCH (source:`SCROOGE`)-[r]-(target:`THE PHANTOM`) - RETURN r - :result:, ) type='DIRECTED' properties={'keywords': '"guidance, self-reflection"', 'description': '"Scrooge interacts with the Phantom, which guides him through reflections on his life and future, emphasizing his journey of change."', 'weight': 9.0, 'source_id': 'chunk-f1a4fbcf1ed86864b9bfd5e8dba4c683'}> -2024-10-29 15:34:46,066 - lightrag - INFO - get_edge:query: - MATCH (source:`ROBIN CRUSOE`)-[r]-(target:`SCROOGE`) - RETURN r - :result:, ) type='DIRECTED' properties={'keywords': '"literary influence, nostalgia"', 'description': '"Scrooge\'s reference to Robin Crusoe during his reflections shows how literary characters shaped his childhood thoughts and feelings."', 'weight': 7.0, 'source_id': 'chunk-8590d9263cd2cd4fa583c432fc54e6c3'}> -2024-10-29 15:34:46,154 - lightrag - INFO - get_edge:query: - MATCH (source:`BELLE`)-[r]-(target:`SCROOGE`) - RETURN r - :result:, ) type='DIRECTED' properties={'keywords': '"lost love, regret"', 'description': '"Scrooge reflects on his lost relationship with Belle, highlighting his feelings of regret and emotional pain."', 'weight': 8.0, 'source_id': 'chunk-da2472b4ef2a535b62908f14d0fb0ca9'}> -2024-10-29 15:34:46,242 - lightrag - INFO - get_edge:query: - MATCH (source:`RUSTY KEYS, NAILS, CHAINS, HINGES`)-[r]-(target:`THE LOW-BROWED SHOP`) - RETURN r - :result:, ) type='DIRECTED' properties={'keywords': '"symbolism, societal neglect"', 'description': '"The Rusty Keys, Nails, Chains, and Hinges within the Low-Browed Shop highlight the decay and abandonment of valued items, metaphorically reflecting societal neglect."', 'weight': 7.0, 'source_id': 'chunk-f1a4fbcf1ed86864b9bfd5e8dba4c683'}> -2024-10-29 15:34:46,336 - lightrag - INFO - get_edge:query: - MATCH (source:`SCROOGE`)-[r]-(target:`THE CLERK`) - RETURN r - :result:, ) type='DIRECTED' properties={'keywords': '"contrast in attitudes, workplace dynamics""unfair treatment, workplace dynamics"', 'description': '"Scrooge\'s treatment of the Clerk highlights his miserly and cruel nature, contributing to an oppressive work environment.""The Clerk represents the festive spirit of Christmas that Scrooge dismisses, showcasing Scrooge\'s coldness."', 'weight': 13.0, 'source_id': 'chunk-74e2466de2f67fd710ef2f20c0a8d9e0chunk-5dac41b3f9eeaf794f0147400b1718cd'}> -2024-10-29 15:34:46,433 - lightrag - INFO - get_edge:query: - MATCH (source:`SCROOGE`)-[r]-(target:`THE GENTLEMAN`) - RETURN r - :result:, ) type='DIRECTED' properties={'keywords': '"charity, conflict of values"', 'description': '"Scrooge and The Gentleman have opposing views on charity and helping the poor during Christmas, showing a stark contrast in values."', 'weight': 8.0, 'source_id': 'chunk-90d5764e301321c087f5a8f78b73a145'}> -2024-10-29 15:34:46,525 - lightrag - INFO - get_edge:query: - MATCH (source:`SCROOGE`)-[r]-(target:`THE WAREHOUSE`) - RETURN r - :result:, ) type='DIRECTED' properties={'keywords': '"memories, apprenticeship"', 'description': '"Scrooge\'s connection to the Warehouse emphasizes his memories of apprenticeship and his past experiences."', 'weight': 8.0, 'source_id': 'chunk-c6c248858d1b13ab7ee9ca13c1aeed6b'}> -2024-10-29 15:34:46,616 - lightrag - INFO - get_edge:query: - MATCH (source:`SCROOGE`)-[r]-(target:`THE BUSINESSMEN`) - RETURN r - :result:, ) type='DIRECTED' properties={'keywords': '"societal apathy, lack of empathy"', 'description': '"Scrooge’s death is discussed among the Businessmen, who show a lack of concern, exemplifying the indifference of society."', 'weight': 8.0, 'source_id': 'chunk-02baee20cc9463dbe08170a8e1043e32'}> -2024-10-29 15:34:46,710 - lightrag - INFO - get_edge:query: - MATCH (source:`CHRISTMAS`)-[r]-(target:`THE MANSION HOUSE`) - RETURN r - :result:, ) type='DIRECTED' properties={'keywords': '"festivities, governance"', 'description': '"The Mansion House is referenced in the context of Christmas celebrations, illustrating its role in festive festivities and governance."', 'weight': 7.0, 'source_id': 'chunk-90d5764e301321c087f5a8f78b73a145'}> -2024-10-29 15:34:46,802 - lightrag - INFO - get_edge:query: - MATCH (source:`SCROOGE`)-[r]-(target:`WEALTH`) - RETURN r - :result:, ) type='DIRECTED' properties={'keywords': '"materialism, character development"', 'description': '"Scrooge confronts the obsession with wealth which has led him away from meaningful connections and happiness."', 'weight': 8.0, 'source_id': 'chunk-b2f98bc7abb0c67d4c86055c7fd72218'}> -2024-10-29 15:34:46,897 - lightrag - INFO - get_edge:query: - MATCH (source:`SCROOGE`)-[r]-(target:`THE SPIRITS`) - RETURN r - :result:, ) type='DIRECTED' properties={'keywords': '"redemption, guidance"', 'description': '"The Spirits embody the lessons Scrooge must learn to change his life and embrace kindness."', 'weight': 9.0, 'source_id': 'chunk-90b95db5c53e4364a6bee36b7aa4d70f'}> -2024-10-29 15:34:46,990 - lightrag - INFO - get_edge:query: - MATCH (source:`GHOST`)-[r]-(target:`SCROOGE`) - RETURN r - :result:, ) type='DIRECTED' properties={'keywords': '"reflection, self-discovery""spiritual guidance, transformation"', 'description': '"The Ghost guides Scrooge through reflections of his past, influencing his journey toward redemption.""The Ghost takes Scrooge on a journey to teach him lessons about generosity and compassion towards others."', 'weight': 17.0, 'source_id': 'chunk-c6c248858d1b13ab7ee9ca13c1aeed6bchunk-e7637ff18c5ded77a68cce0a87883fad'}> -2024-10-29 15:34:47,081 - lightrag - INFO - get_edge:query: - MATCH (source:`THE FROZEN MOOR`)-[r]-(target:`THE SETTING SUN`) - RETURN r - :result:, ) type='DIRECTED' properties={'keywords': '"nature, contrast"', 'description': '"The Setting Sun casts a dramatic light on the Frozen Moor, highlighting the stark beauty and desolation of the landscape."', 'weight': 6.0, 'source_id': 'chunk-91614df5cb74cbe5e109a338a82041e9'}> -2024-10-29 15:34:47,173 - lightrag - INFO - get_edge:query: - MATCH (source:`PORTLY GENTLEMEN`)-[r]-(target:`SCROOGE`) - RETURN r - :result:, ) type='DIRECTED' properties={'keywords': '"charity rejection, conflict"', 'description': '"Scrooge dismisses the Portly Gentlemen\'s request for donations, rejecting their appeal for charity."', 'weight': 8.0, 'source_id': 'chunk-5dac41b3f9eeaf794f0147400b1718cd'}> -2024-10-29 15:34:47,264 - lightrag - INFO - get_edge:query: - MATCH (source:`DICK WILKINS`)-[r]-(target:`SCROOGE`) - RETURN r - :result:, ) type='DIRECTED' properties={'keywords': '"friendship, apprenticeship"', 'description': '"Scrooge recalls his friendship with Dick Wilkins, highlighting the connections of youth and support during their apprenticeship."', 'weight': 7.0, 'source_id': 'chunk-c6c248858d1b13ab7ee9ca13c1aeed6b'}> -2024-10-29 15:34:47,355 - lightrag - INFO - get_edge:query: - MATCH (source:`CRATCHIT FAMILY`)-[r]-(target:`SCROOGE`) - RETURN r - :result:, ) type='DIRECTED' properties={'keywords': '"compassion, social awareness"', 'description': '"Scrooge\'s reflections on the Cratchit family\'s situation symbolize his evolving understanding of compassion and social responsibility."', 'weight': 7.0, 'source_id': 'chunk-83ac129dc9b56f84c46760d153d68e93'}> -2024-10-29 15:34:47,449 - lightrag - INFO - get_edge:query: - MATCH (source:`BOB CRATCHIT`)-[r]-(target:`SCROOGE`) - RETURN r - :result:, ) type='DIRECTED' properties={'keywords': '"employment, generosity""employment, power dynamic""employment, social reflection""family dynamics, acknowledgment""generosity, relationship change""gratitude, redemption"', 'description': '"Bob Cratchit tries to maintain a positive atmosphere during the Christmas feast despite the negative association with Scrooge.""Bob praises Scrooge as \'The Founder of the Feast\', showing appreciation despite Scrooge’s previous miserliness.""Scrooge decides to send a turkey to Bob Cratchit, indicating a newfound kindness towards him and his family.""Scrooge is Bob Cratchit\'s employer, and he reflects on the challenges Bob faces regarding family and food on Christmas Day.".""Scrooge is the employer of Bob Cratchit, demonstrating a power dynamic characterized by Scrooge\'s harsh treatment and Bob\'s subservient role.""Scrooge reprimands Bob for arriving late, but ultimately decides to raise his salary, signaling a significant change in their employer-employee relationship."', 'weight': 40.0, 'source_id': 'chunk-503f0bfa5453467c7c61d160a3540ecachunk-90b95db5c53e4364a6bee36b7aa4d70fchunk-b0f459f5af1c3a5e0b92cbe4ee48b77bchunk-d9aac3484185ac66045df92214d245d5chunk-94bea83e7153fc2064aa382b494936a1chunk-19d72c57ae3408758b18d2568e86dc6b'}> -2024-10-29 15:34:47,544 - lightrag - INFO - get_edge:query: - MATCH (source:`CHRISTMAS`)-[r]-(target:`TURKEYS`) - RETURN r - :result:, ) type='DIRECTED' properties={'keywords': '"culinary tradition, celebration"', 'description': '"Turkeys are a traditional dish served during Christmas, contributing to the celebratory meal."', 'weight': 9.0, 'source_id': 'chunk-99b0ec7f7e006561352b5d65e849611d'}> -2024-10-29 15:34:47,636 - lightrag - INFO - get_edge:query: - MATCH (source:`SCROOGE`)-[r]-(target:`THE SPIRIT`) - RETURN r - :result:, ) type='DIRECTED' properties={'keywords': '"guidance, transformation""moral guidance, transformation""self-reflection, transformation""supernatural guidance, self-reflection""supernatural intervention, guidance"', 'description': '"Scrooge engages with the Spirit as it reveals memories that prompt significant self-reflection and consideration of change.""Scrooge is guided by the Spirit, who shows him different scenes related to the joy and struggles of Christmas, aiming to change his heart.""The Spirit challenges Scrooge\'s perspective on life, urging him to consider the implications of his actions in light of death.""The Spirit represents an upcoming change in Scrooge\'s life, aiming to guide him towards redemption.""The Spirit represents moral lessons and urges Scrooge to change his ways for a better future."', 'weight': 47.0, 'source_id': 'chunk-b2f98bc7abb0c67d4c86055c7fd72218chunk-e1f29eeadc1d8ab46dc8a0bbd3c56b64chunk-91572b3cd42786ba4cb2f180ca25cbf4chunk-da2472b4ef2a535b62908f14d0fb0ca9chunk-91614df5cb74cbe5e109a338a82041e9'}> -2024-10-29 15:34:47,727 - lightrag - INFO - get_edge:query: - MATCH (source:`FEZZIWIG`)-[r]-(target:`SCROOGE`) - RETURN r - :result:, ) type='DIRECTED' properties={'keywords': '"kindness, mentorship""reflection, influence"', 'description': '"Scrooge reflects positively on Fezziwig\'s past actions, acknowledging the happiness and gratitude he inspired in people.""Scrooge reminisces about Fezziwig\'s kindness during his apprenticeship, comparing his past self to his current state."', 'weight': 16.0, 'source_id': 'chunk-b2f98bc7abb0c67d4c86055c7fd72218chunk-c6c248858d1b13ab7ee9ca13c1aeed6b'}> -2024-10-29 15:34:47,820 - lightrag - INFO - get_edge:query: - MATCH (source:`CHRISTMAS`)-[r]-(target:`FRENCH PLUMS`) - RETURN r - :result:, ) type='DIRECTED' properties={'keywords': '"seasonal offerings, festive foods"', 'description': '"French Plums are included in the festive offerings, creating a rich holiday atmosphere."', 'weight': 6.0, 'source_id': 'chunk-99b0ec7f7e006561352b5d65e849611d'}> -2024-10-29 15:34:47,914 - lightrag - INFO - get_edge:query: - MATCH (source:`CHRISTMAS-TIME`)-[r]-(target:`THE PHANTOM`) - RETURN r - :result:, ) type='DIRECTED' properties={'keywords': '"supernatural influence, time of reflection"', 'description': '"The Phantom\'s visits coincide with Christmas time, a time symbolizing reflection, redemption, and moral awakening."', 'weight': 8.0, 'source_id': 'chunk-f1a4fbcf1ed86864b9bfd5e8dba4c683'}> -2024-10-29 15:34:48,005 - lightrag - INFO - get_edge:query: - MATCH (source:`SCROOGE`)-[r]-(target:`SHADOW OF HIMSELF`) - RETURN r - :result:, ) type='DIRECTED' properties={'keywords': '"introspection, personal growth"', 'description': '"Scrooge hopes to learn from the Shadow of Himself, signifying his desire for personal growth and understanding of his life choices."', 'weight': 9.0, 'source_id': 'chunk-f1a4fbcf1ed86864b9bfd5e8dba4c683'}> -2024-10-29 15:34:48,096 - lightrag - INFO - get_edge:query: - MATCH (source:`SCROOGE`)-[r]-(target:`THE DECEASED`) - RETURN r - :result:, ) type='DIRECTED' properties={'keywords': '"reflection, mortality"', 'description': '"Scrooge reflects on the condition and life of The Deceased, equating his own life with the man\'s fate, indicating a profound contemplation of mortality."', 'weight': 8.0, 'source_id': 'chunk-e1f29eeadc1d8ab46dc8a0bbd3c56b64'}> -2024-10-29 15:34:48,184 - lightrag - INFO - get_edge:query: - MATCH (source:`LONDON`)-[r]-(target:`SCROOGE`) - RETURN r - :result:, ) type='DIRECTED' properties={'keywords': '"setting, seasonal context""setting, transformation"', 'description': '"London as the setting contextualizes Scrooge\'s experiences and transformations regarding Christmas celebrations.""Scrooge\'s experiences reflect the larger context of life in London during the festive season, emphasizing the mood of the city at that time."', 'weight': 12.0, 'source_id': 'chunk-d9aac3484185ac66045df92214d245d5chunk-43c9bee23adfa77aa9dedd22401bba7d'}> -2024-10-29 15:34:48,274 - lightrag - INFO - get_edge:query: - MATCH (source:`IGNORANCE`)-[r]-(target:`MAN`) - RETURN r - :result:, ) type='DIRECTED' properties={'keywords': '"societal responsibility, advocacy"', 'description': '"The concept of Man is tied to Ignorance and Want, illustrating the failures of society in addressing poverty and need."', 'weight': 9.0, 'source_id': 'chunk-e7637ff18c5ded77a68cce0a87883fad'}> -2024-10-29 15:34:48,365 - lightrag - INFO - get_edge:query: - MATCH (source:`DICK`)-[r]-(target:`SCROOGE`) - RETURN r - :result:, ) type='DIRECTED' properties={'keywords': '"nostalgia, friendship"', 'description': '"Scrooge remembers Dick as a part of his past, highlighting their shared experiences during happier times."', 'weight': 7.0, 'source_id': 'chunk-b2f98bc7abb0c67d4c86055c7fd72218'}> -2024-10-29 15:34:48,456 - lightrag - INFO - get_edge:query: - MATCH (source:`BAD REPUTE`)-[r]-(target:`SCROOGE`) - RETURN r - :result:, ) type='DIRECTED' properties={'keywords': '"self-reflection, moral awakening"', 'description': '"Scrooge\'s experience in areas of Bad Repute forces him to confront the realities of society and his own role within it."', 'weight': 9.0, 'source_id': 'chunk-f1a4fbcf1ed86864b9bfd5e8dba4c683'}> -2024-10-29 15:34:48,548 - lightrag - INFO - get_edge:query: - MATCH (source:`CHILDREN`)-[r]-(target:`SPIRIT`) - RETURN r - :result:, ) type='DIRECTED' properties={'keywords': '"social issues, innocence"', 'description': '"The Spirit introduces Scrooge to the Children as representations of societal neglect, urging recognition and action."', 'weight': 9.0, 'source_id': 'chunk-e7637ff18c5ded77a68cce0a87883fad'}> -2024-10-29 15:34:48,640 - lightrag - INFO - get_edge:query: - MATCH (source:`SCROOGE`)-[r]-(target:`THE CHURCH`) - RETURN r - :result:, ) type='DIRECTED' properties={'keywords': '"community, spirituality"', 'description': '"Scrooge\'s visit to The Church reflects his desire to embrace the spirit of Christmas and community engagement."', 'weight': 9.0, 'source_id': 'chunk-8f738cb25d60a7dab782162d9d0a25ed'}> -2024-10-29 15:34:48,733 - lightrag - INFO - get_edge:query: - MATCH (source:`THE FATHER`)-[r]-(target:`THE MOTHER`) - RETURN r - :result:, ) type='DIRECTED' properties={'keywords': '"family dynamics, togetherness"', 'description': '"The Mother and Father are depicted together, emphasizing family dynamics during the festive occasion."', 'weight': 6.0, 'source_id': 'chunk-da2472b4ef2a535b62908f14d0fb0ca9'}> -2024-10-29 15:34:48,826 - lightrag - INFO - get_edge:query: - MATCH (source:`SCROOGE`)-[r]-(target:`THE GHOST OF CHRISTMAS PRESENT`) - RETURN r - :result:, ) type='DIRECTED' properties={'keywords': '"awareness, joy""supernatural guidance, social impact""transformation, guidance"', 'description': '"The Ghost of Christmas Present exposes Scrooge to the joy and generosity he has been missing.""The Ghost of Christmas Present observes Scrooge\'s transformation and emotional engagement with his memories of Christmas.""The Ghost of Christmas Present shows Scrooge the joy and importance of kindness during Christmas, impacting his perspective on social issues."', 'weight': 26.0, 'source_id': 'chunk-90b95db5c53e4364a6bee36b7aa4d70fchunk-43c9bee23adfa77aa9dedd22401bba7dchunk-b0f459f5af1c3a5e0b92cbe4ee48b77b'}> -2024-10-29 15:34:48,916 - lightrag - INFO - get_edge:query: - MATCH (source:`SCROOGE`)-[r]-(target:`THE GHOST`) - RETURN r - :result:, ) type='DIRECTED' properties={'keywords': '"guidance, transformation""memory, influence""reflection, guidance""self-reflection, transformation"', 'description': '"Scrooge\'s engagement with The Ghost prompts a significant emotional and psychological transformation as he confronts his past.""The Ghost guides Scrooge through visions of his past, forcing him to confront his choices and their consequences.""The Ghost influences Scrooge\'s reflections on his past and his current emotions regarding Christmas festivities.""The Ghost serves as a catalyst for Scrooge\'s reflections, guiding him to confront his past and feelings about Christmas."', 'weight': 35.0, 'source_id': 'chunk-da2472b4ef2a535b62908f14d0fb0ca9chunk-43c9bee23adfa77aa9dedd22401bba7dchunk-54bdd22db1f84a965b5f4c06c9216d8dchunk-8590d9263cd2cd4fa583c432fc54e6c3'}> -2024-10-29 15:34:49,007 - lightrag - INFO - get_edge:query: - MATCH (source:`A CHRISTMAS CAROL`)-[r]-(target:`PROJECT GUTENBERG`) - RETURN r - :result:, ) type='DIRECTED' properties={'keywords': '"publication, accessibility"', 'description': '"A Christmas Carol is published and distributed freely through Project Gutenberg, making it accessible to a global audience."', 'weight': 9.0, 'source_id': 'chunk-9e3921da66da5d761ab73cd849af6c43'}> -2024-10-29 15:34:49,099 - lightrag - INFO - get_edge:query: - MATCH (source:`CHRISTMAS`)-[r]-(target:`THE GROCERS`) - RETURN r - :result:, ) type='DIRECTED' properties={'keywords': '"community engagement, festive spirit"', 'description': '"The Grocers contribute to the festive Christmas atmosphere by providing goods and serving eager customers."', 'weight': 9.0, 'source_id': 'chunk-99b0ec7f7e006561352b5d65e849611d'}> -2024-10-29 15:34:49,187 - lightrag - INFO - get_edge:query: - MATCH (source:`CHRISTMAS`)-[r]-(target:`GREAT BRITAIN`) - RETURN r - :result:, ) type='DIRECTED' properties={'keywords': '"celebration, societal mood"', 'description': '"The celebration of Christmas brings a cheerful atmosphere to Great Britain despite the gloomy weather conditions."', 'weight': 7.0, 'source_id': 'chunk-99b0ec7f7e006561352b5d65e849611d'}> -2024-10-29 15:34:49,280 - lightrag - INFO - get_edge:query: - MATCH (source:`SCROOGE`)-[r]-(target:`THE GIRL`) - RETURN r - :result:, ) type='DIRECTED' properties={'keywords': '"family ties, kindness"', 'description': '"Scrooge\'s pleasant interaction with The Girl at Fred\'s house shows his desire for family connection and warmth."', 'weight': 8.0, 'source_id': 'chunk-8f738cb25d60a7dab782162d9d0a25ed'}> -2024-10-29 15:34:49,374 - lightrag - INFO - get_edge:query: - MATCH (source:`JACOB MARLEY`)-[r]-(target:`SCROOGE`) - RETURN r - :result:, ) type='DIRECTED' properties={'keywords': '"catalyst for change, supernatural guidance""past influence, warning""redemption, moral lesson""supernatural encounter, past ties""transformation, influence""warning, transformation"', 'description': '"Jacob Marley is the spirit who brings forth the need for Scrooge to change his ways, impacting his character development.""Scrooge confronts Jacob Marley, his former business partner, who returns as a ghost to influence Scrooge\'s perspective on life and his actions.""Scrooge converses with the ghost of Jacob Marley, who tries to guide him toward understanding the importance of compassion and the consequences of his actions.""Scrooge interacts with Jacob Marley, who serves as a critical warning for Scrooge to change his ways before it\'s too late.""Scrooge reflects on Jacob Marley’s past warnings, which serve as a catalyst for his transformation.""Scrooge\'s transformation is prompted by the appearance and message of Jacob Marley, his former business partner."', 'weight': 54.0, 'source_id': 'chunk-90b95db5c53e4364a6bee36b7aa4d70fchunk-1aa50206d02ed89418f65f97c6441d1cchunk-02baee20cc9463dbe08170a8e1043e32chunk-91572b3cd42786ba4cb2f180ca25cbf4chunk-da2472b4ef2a535b62908f14d0fb0ca9chunk-359187e7571bda4b0b08b2e0b6581e52'}> -2024-10-29 15:34:49,466 - lightrag - INFO - get_edge:query: - MATCH (source:`BOB`)-[r]-(target:`SCROOGE`) - RETURN r - :result:, ) type='DIRECTED' properties={'keywords': '"humor, generosity"', 'description': '"Scrooge makes a humorous comment about sending a large turkey to Bob, indicating a lighthearted relationship."', 'weight': 6.0, 'source_id': 'chunk-8f738cb25d60a7dab782162d9d0a25ed'}> -2024-10-29 15:34:49,558 - lightrag - INFO - get_edge:query: - MATCH (source:`SCHOOL`)-[r]-(target:`SCROOGE`) - RETURN r - :result:, ) type='DIRECTED' properties={'keywords': '"neglect, formative experiences"', 'description': '"The School serves as a poignant reminder of Scrooge\'s childhood neglect, influencing his character development and emotional barriers."', 'weight': 7.0, 'source_id': 'chunk-bb21d58d36c6306fd8810ddd51c4a971'}> -2024-10-29 15:34:49,659 - lightrag - INFO - get_edge:query: - MATCH (source:`APPLES`)-[r]-(target:`CHRISTMAS`) - RETURN r - :result:, ) type='DIRECTED' properties={'keywords': '"seasonal offerings, tradition"', 'description': '"Apples are featured in markets during Christmas, indicating traditional holiday fare."', 'weight': 6.0, 'source_id': 'chunk-99b0ec7f7e006561352b5d65e849611d'}> -2024-10-29 15:34:49,754 - lightrag - INFO - get_edge:query: - MATCH (source:`SCROOGE`)-[r]-(target:`THE KNOCKER`) - RETURN r - :result:, ) type='DIRECTED' properties={'keywords': '"appreciation, transformation""symbolism, transformation"', 'description': '"Scrooge admires the knocker at his door, marking a positive change in his attitude towards life and surroundings.""The Knocker, transforming into Marley\'s face, symbolizes Scrooge\'s ghostly past and impending redemption challenges."', 'weight': 15.0, 'source_id': 'chunk-d9aac3484185ac66045df92214d245d5chunk-8f738cb25d60a7dab782162d9d0a25ed'}> -2024-10-29 15:34:49,848 - lightrag - INFO - get_edge:query: - MATCH (source:`CHRISTMAS`)-[r]-(target:`HOLLY`) - RETURN r - :result:, ) type='DIRECTED' properties={'keywords': '"festive decorations, holiday spirit"', 'description': '"Holly contributes to the festive decorations associated with the Christmas celebration."', 'weight': 8.0, 'source_id': 'chunk-99b0ec7f7e006561352b5d65e849611d'}> -2024-10-29 15:34:49,939 - lightrag - INFO - get_edge:query: - MATCH (source:`MARKET-TOWN`)-[r]-(target:`SCROOGE`) - RETURN r - :result:, ) type='DIRECTED' properties={'keywords': '"nostalgia, memory"', 'description': '"Scrooge recognizes the Market-Town, eliciting fond memories from his childhood and emphasizing his emotional response to the past."', 'weight': 7.0, 'source_id': 'chunk-bb21d58d36c6306fd8810ddd51c4a971'}> -2024-10-29 15:34:50,031 - lightrag - INFO - get_edge:query: - MATCH (source:`CHRISTMAS`)-[r]-(target:`THE LAMPLIGHTER`) - RETURN r - :result:, ) type='DIRECTED' properties={'keywords': '"symbolism, holiday spirit"', 'description': '"The Lamplighter\'s actions of spreading light symbolize the joy and warmth associated with Christmas."', 'weight': 7.0, 'source_id': 'chunk-91614df5cb74cbe5e109a338a82041e9'}> -2024-10-29 15:34:50,123 - lightrag - INFO - get_edge:query: - MATCH (source:`MASTER SCROOGE`)-[r]-(target:`SCROOGE`) - RETURN r - :result:, ) type='DIRECTED' properties={'keywords': '"nostalgia, identity"', 'description': '"The young Master Scrooge represents Scrooge\'s earlier aspirations and innocence, contrasting with his current self."', 'weight': 9.0, 'source_id': 'chunk-c6c248858d1b13ab7ee9ca13c1aeed6b'}> -2024-10-29 15:34:50,215 - lightrag - INFO - get_edge:query: - MATCH (source:`SCROOGE`)-[r]-(target:`THE BLANKETS`) - RETURN r - :result:, ) type='DIRECTED' properties={'keywords': '"neglect, reflection"', 'description': '"Scrooge contemplates the significance of The Blankets, linking them to the neglected state of The Deceased in death."', 'weight': 8.0, 'source_id': 'chunk-e1f29eeadc1d8ab46dc8a0bbd3c56b64'}> -2024-10-29 15:34:50,304 - lightrag - INFO - get_edge:query: - MATCH (source:`LIGHT`)-[r]-(target:`THE VISITOR`) - RETURN r - :result:, ) type='DIRECTED' properties={'keywords': '"enlightenment, revelation"', 'description': '"The Visitor is associated with Light, which represents enlightenment and understanding for Scrooge during his existential crisis."', 'weight': 9.0, 'source_id': 'chunk-c7b10789a9cb0af6c553730b29bd9034'}> -2024-10-29 15:34:50,393 - lightrag - INFO - get_edge:query: - MATCH (source:`SCROOGE`)-[r]-(target:`THE GRATE`) - RETURN r - :result:, ) type='DIRECTED' properties={'keywords': '"isolation, setting mood"', 'description': '"The Grate\'s cold fire adds to the bleak setting of Scrooge\'s home, illustrating his disconnection from warmth and comfort before the supernatural events unfold."', 'weight': 6.0, 'source_id': 'chunk-9c43dac2fcd5b578242d907ea6f8fc7b'}> -2024-10-29 15:34:50,501 - lightrag - INFO - get_edge:query: - MATCH (source:`MARLEY'S GHOST`)-[r]-(target:`THE CANDLE`) - RETURN r - :result:, ) type='DIRECTED' properties={'keywords': '"hope, contrast"', 'description': '"The Candle\'s light contrasts with the darkness of the haunting, representing the flicker of hope amidst Scrooge\'s despair."', 'weight': 7.0, 'source_id': 'chunk-9c43dac2fcd5b578242d907ea6f8fc7b'}> -2024-10-29 15:34:50,601 - lightrag - INFO - get_edge:query: - MATCH (source:`CHRISTMAS DAY`)-[r]-(target:`SCROOGE`) - RETURN r - :result:, ) type='DIRECTED' properties={'keywords': '"seasonal significance, renewal"', 'description': '"Scrooge\'s change in attitude and actions occur on Christmas Day, making it a pivotal event in his story."', 'weight': 9.0, 'source_id': 'chunk-90b95db5c53e4364a6bee36b7aa4d70f'}> -2024-10-29 15:34:50,700 - lightrag - INFO - get_edge:query: - MATCH (source:`SCROOGE`)-[r]-(target:`SUNDAY CLOTHES BOY`) - RETURN r - :result:, ) type='DIRECTED' properties={'keywords': '"kindness, generosity"', 'description': '"Scrooge\'s interaction with the Sunday Clothes Boy highlights his evolving attitude towards generosity and kindness."', 'weight': 7.0, 'source_id': 'chunk-90b95db5c53e4364a6bee36b7aa4d70f'}> -2024-10-29 15:34:50,794 - lightrag - INFO - get_edge:query: - MATCH (source:`SCROOGE`)-[r]-(target:`TINY TIM`) - RETURN r - :result:, ) type='DIRECTED' properties={'keywords': '"personal transformation, empathy""transformation, mentorship""transformation, redemption"', 'description': '"Scrooge becomes a father figure to Tiny Tim, showing a deep commitment to his well-being after realizing the importance of family and caring for others.""Scrooge reflects on Tiny Tim and expresses concern for his wellbeing, indicating a pivotal change in his character and attitudes towards the less fortunate.""Scrooge\'s transformation is influenced by his reflections on the impact of Tiny Tim\'s life and death."', 'weight': 26.0, 'source_id': 'chunk-94bea83e7153fc2064aa382b494936a1chunk-503f0bfa5453467c7c61d160a3540ecachunk-91572b3cd42786ba4cb2f180ca25cbf4'}> -2024-10-29 15:34:50,887 - lightrag - INFO - get_edge:query: - MATCH (source:`CHRISTMAS`)-[r]-(target:`FIGS`) - RETURN r - :result:, ) type='DIRECTED' properties={'keywords': '"seasonal offerings, festive foods"', 'description': '"Figs are highlighted among the festive foods offered during Christmas, enhancing markets."', 'weight': 6.0, 'source_id': 'chunk-99b0ec7f7e006561352b5d65e849611d'}> -2024-10-29 15:34:50,980 - lightrag - INFO - get_edge:query: - MATCH (source:`ORSON`)-[r]-(target:`SCROOGE`) - RETURN r - :result:, ) type='DIRECTED' properties={'keywords': '"family memories, nostalgia"', 'description': '"Same as above, Orson is part of Scrooge\'s memories of his brothers during Christmas time, emphasizing themes of togetherness and nostalgia."', 'weight': 6.0, 'source_id': 'chunk-8590d9263cd2cd4fa583c432fc54e6c3'}> -2024-10-29 15:34:51,072 - lightrag - INFO - get_edge:query: - MATCH (source:`DEATH`)-[r]-(target:`THE FUTURE`) - RETURN r - :result:, ) type='DIRECTED' properties={'keywords': '"consequences of choices, reflection"', 'description': '"The concept of The Future is intricately linked to discussions about Death, pondering the consequences of life\'s choices."', 'weight': 7.0, 'source_id': 'chunk-02baee20cc9463dbe08170a8e1043e32'}> -2024-10-29 15:34:51,168 - lightrag - INFO - get_edge:query: - MATCH (source:`BUSINESSMEN`)-[r]-(target:`SCROOGE`) - RETURN r - :result:, ) type='DIRECTED' properties={'keywords': '"social interactions, superficiality"', 'description': '"Scrooge\'s past interactions with the businessmen are superficial, reflecting his focus on wealth and status rather than meaningful connections."', 'weight': 7.0, 'source_id': 'chunk-f1a4fbcf1ed86864b9bfd5e8dba4c683'}> -2024-10-29 15:34:51,260 - lightrag - INFO - get_edge:query: - MATCH (source:`SCROOGE`)-[r]-(target:`THE CLOCK`) - RETURN r - :result:, ) type='DIRECTED' properties={'keywords': '"time distortion, confusion"', 'description': '"Scrooge\'s interaction with the faulty clock symbolizes his disconnection from time and reality, as he struggles to comprehend his experiences."', 'weight': 6.0, 'source_id': 'chunk-cb661c37436355ccec2769b1d0350c5f'}> -2024-10-29 15:34:51,349 - lightrag - INFO - get_edge:query: - MATCH (source:`SCROOGE`)-[r]-(target:`THE GHOST OF CHRISTMAS YET TO COME`) - RETURN r - :result:, ) type='DIRECTED' properties={'keywords': '"consequences, change""guidance, self-confrontation"', 'description': '"The Ghost guides Scrooge to confront his potential future that threatens his existence.""The Ghost is critical in revealing the consequences of Scrooge\'s life choices, pushing for change."', 'weight': 19.0, 'source_id': 'chunk-91572b3cd42786ba4cb2f180ca25cbf4'}> -2024-10-29 15:34:51,443 - lightrag - INFO - get_edge:query: - MATCH (source:`SCROOGE`)-[r]-(target:`THE REGISTER`) - RETURN r - :result:, ) type='DIRECTED' properties={'keywords': '"responsibility, mourning"', 'description': '"Scrooge\'s connection to The Register reinforces his involvement in Marley\'s death and the responsibilities that follow."', 'weight': 8.0, 'source_id': 'chunk-89777b838d5447c7bd1ec11282c4ee89'}> -2024-10-29 15:34:51,534 - lightrag - INFO - get_edge:query: - MATCH (source:`SCROOGE`)-[r]-(target:`THE CASK`) - RETURN r - :result:, ) type='DIRECTED' properties={'keywords': '"fear, tension"', 'description': '"The Cask is associated with the sounds of chains during the haunting, heightening Scrooge\'s fear and trepidation about the ghostly visit."', 'weight': 8.0, 'source_id': 'chunk-9c43dac2fcd5b578242d907ea6f8fc7b'}> -2024-10-29 15:34:51,629 - lightrag - INFO - get_edge:query: - MATCH (source:`SCROOGE`)-[r]-(target:`THE BELL`) - RETURN r - :result:, ) type='DIRECTED' properties={'keywords': '"foreboding, supernatural"', 'description': '"The Bell\'s movement and sound foreshadow Marley\'s Ghost\'s appearance, enhancing the sense of impending supernatural activity in Scrooge\'s environment."', 'weight': 8.0, 'source_id': 'chunk-9c43dac2fcd5b578242d907ea6f8fc7b'}> -2024-10-29 15:34:51,720 - lightrag - INFO - get_edge:query: - MATCH (source:`SCROOGE`)-[r]-(target:`THE SCHOOLMASTER`) - RETURN r - :result:, ) type='DIRECTED' properties={'keywords': '"authority, discipline"', 'description': '"The Schoolmaster represents authority and discipline in Scrooge\'s early life, influencing his development."', 'weight': 6.0, 'source_id': 'chunk-c6c248858d1b13ab7ee9ca13c1aeed6b'}> -2024-10-29 15:34:51,810 - lightrag - INFO - get_edge:query: - MATCH (source:`FRED`)-[r]-(target:`SCROOGE`) - RETURN r - :result:, ) type='DIRECTED' properties={'keywords': '"family connection, goodwill""family connection, reconciliation""family, transformation""rejection, familial dynamics"', 'description': '"Scrooge and Fred share a familial bond, with Fred expressing goodwill and celebrating Scrooge despite his uncle\'s previous behavior.""Scrooge expresses a desire to visit Fred, which signifies a reconciliatory gesture toward his family.""Scrooge surprises Fred with his unexpected visit, indicating a shift in their familial relationship and Scrooge\'s attitude toward family.""Scrooge\'s interaction with Fred emphasizes his rejection of familial warmth during the Christmas season."', 'weight': 30.0, 'source_id': 'chunk-8f738cb25d60a7dab782162d9d0a25edchunk-94bea83e7153fc2064aa382b494936a1chunk-89777b838d5447c7bd1ec11282c4ee89chunk-e7637ff18c5ded77a68cce0a87883fad'}> -2024-10-29 15:34:51,902 - lightrag - INFO - get_edge:query: - MATCH (source:`IGNORANCE`)-[r]-(target:`SCROOGE`) - RETURN r - :result:, ) type='DIRECTED' properties={'keywords': '"social awareness, warning"', 'description': '"Scrooge is warned about the dangers posed by Ignorance, which embodies significant societal issues he has ignored."', 'weight': 9.0, 'source_id': 'chunk-02baee20cc9463dbe08170a8e1043e32'}> -2024-10-29 15:34:51,994 - lightrag - INFO - get_edge:query: - MATCH (source:`JACOB`)-[r]-(target:`SCROOGE`) - RETURN r - :result:, ) type='DIRECTED' properties={'keywords': '"reflection, past relationship"', 'description': '"Scrooge reflects on his past relationship with Jacob, influenced by feelings of guilt and loss after Jacob\'s death."', 'weight': 8.0, 'source_id': 'chunk-f1a4fbcf1ed86864b9bfd5e8dba4c683'}> -2024-10-29 15:34:52,084 - lightrag - INFO - get_edge:query: - MATCH (source:`CITY`)-[r]-(target:`SCROOGE`) - RETURN r - :result:, ) type='DIRECTED' properties={'keywords': '"indifference, societal critique""societal impact, personal change"', 'description': '"Scrooge experiences the indifference of the City towards his death, illustrating societal apathy.""Scrooge\'s transformation is set against the backdrop of the City, reflecting the societal implications of his personal changes."', 'weight': 15.0, 'source_id': 'chunk-843b5b2f944c7413d9ca876e2e2f151fchunk-02baee20cc9463dbe08170a8e1043e32'}> -2024-10-29 15:34:52,177 - lightrag - INFO - get_edge:query: - MATCH (source:`GHOST OF CHRISTMAS PAST`)-[r]-(target:`THE CITY`) - RETURN r - :result:, ) type='DIRECTED' properties={'keywords': '"transportation, memory"', 'description': '"The Ghost of Christmas Past helps transport Scrooge from The City to a memory of his past, highlighting the contrast between present and memory."', 'weight': 6.0, 'source_id': 'chunk-bb21d58d36c6306fd8810ddd51c4a971'}> -2024-10-29 15:34:52,265 - lightrag - INFO - get_edge:query: - MATCH (source:`CRATCHIT FAMILY`)-[r]-(target:`DEATH`) - RETURN r - :result:, ) type='DIRECTED' properties={'keywords': '"grief, family dynamics"', 'description': '"The death event impacts the Cratchit family deeply, influencing their emotional state and perceptions of hope and kindness."', 'weight': 8.0, 'source_id': 'chunk-83ac129dc9b56f84c46760d153d68e93'}> -2024-10-29 15:34:52,357 - lightrag - INFO - get_edge:query: - MATCH (source:`HOSPITAL`)-[r]-(target:`SPIRIT`) - RETURN r - :result:, ) type='DIRECTED' properties={'keywords': '"care, compassion"', 'description': '"The Spirit uses the Hospital to demonstrate humanity\'s capacity for care and its responsibility towards the sick and needy."', 'weight': 8.0, 'source_id': 'chunk-e7637ff18c5ded77a68cce0a87883fad'}> -2024-10-29 15:34:52,446 - lightrag - INFO - get_edge:query: - MATCH (source:`SCHOOL`)-[r]-(target:`SPIRIT`) - RETURN r - :result:, ) type='DIRECTED' properties={'keywords': '"reflection, nostalgia"', 'description': '"The Spirit leads Scrooge to the School, invoking memories of solitary times that deeply impact his emotional state."', 'weight': 6.0, 'source_id': 'chunk-bb21d58d36c6306fd8810ddd51c4a971'}> -2024-10-29 15:34:52,538 - lightrag - INFO - get_edge:query: - MATCH (source:`MISERY'S REFUGE`)-[r]-(target:`SPIRIT`) - RETURN r - :result:, ) type='DIRECTED' properties={'keywords': '"social awareness, empathy"', 'description': '"The Spirit\'s presence in Misery\'s Refuge underscores the necessity for societal compassion during difficult times."', 'weight': 10.0, 'source_id': 'chunk-e7637ff18c5ded77a68cce0a87883fad'}> -2024-10-29 15:34:52,629 - lightrag - INFO - get_edge:query: - MATCH (source:`SCROOGE`)-[r]-(target:`THE THREE SPIRITS`) - RETURN r - :result:, ) type='DIRECTED' properties={'keywords': '"redemption, transformation"', 'description': '"Scrooge is directly involved in the narrative concerning the Three Spirits who are meant to guide him toward redemption."', 'weight': 9.0, 'source_id': 'chunk-cb661c37436355ccec2769b1d0350c5f'}> -2024-10-29 15:34:52,717 - lightrag - INFO - get_edge:query: - MATCH (source:`SCROOGE`)-[r]-(target:`THE GHOST OF CHRISTMAS FUTURE`) - RETURN r - :result:, ) type='DIRECTED' properties={'keywords': '"consequences, transformation"', 'description': '"The Ghost of Christmas Future reveals the dire consequences of Scrooge\'s current behavior, prompting a desire for change."', 'weight': 8.0, 'source_id': 'chunk-90b95db5c53e4364a6bee36b7aa4d70f'}> -2024-10-29 15:34:52,806 - lightrag - INFO - get_edge:query: - MATCH (source:`SCROOGE`)-[r]-(target:`THE MAIN STREET`) - RETURN r - :result:, ) type='DIRECTED' properties={'keywords': '"social dynamics, personal struggle"', 'description': '"Scrooge\'s experiences on The Main Street during Christmas time reflect his discontent with the surrounding joy and celebrations."', 'weight': 6.0, 'source_id': 'chunk-90d5764e301321c087f5a8f78b73a145'}> -2024-10-29 15:34:52,897 - lightrag - INFO - get_edge:query: - MATCH (source:`SCROOGE`)-[r]-(target:`THE SITTING ROOM`) - RETURN r - :result:, ) type='DIRECTED' properties={'keywords': '"reflection, transformation"', 'description': '"The Sitting Room is where Scrooge reflects on his past and contemplates his future, crucial to his transformation."', 'weight': 8.0, 'source_id': 'chunk-90b95db5c53e4364a6bee36b7aa4d70f'}> -2024-10-29 15:34:52,989 - lightrag - INFO - get_edge:query: - MATCH (source:`SCROOGE`)-[r]-(target:`TOPPER`) - RETURN r - :result:, ) type='DIRECTED' properties={'keywords': '"observation, merriment"', 'description': '"Scrooge observes Topper\'s antics and expressions of joy during the games, revealing a reflection on human nature and merriment."', 'weight': 6.0, 'source_id': 'chunk-43c9bee23adfa77aa9dedd22401bba7d'}> -2024-10-29 15:34:53,082 - lightrag - INFO - get_edge:query: - MATCH (source:`SCROOGE`)-[r]-(target:`STREET`) - RETURN r - :result:, ) type='DIRECTED' properties={'keywords': '"observation, societal critique"', 'description': '"Scrooge observes the Street\'s inhabitants and their interactions, reflecting on his own status and societal detachment."', 'weight': 7.0, 'source_id': 'chunk-f1a4fbcf1ed86864b9bfd5e8dba4c683'}> -2024-10-29 15:34:53,173 - lightrag - INFO - get_edge:query: - MATCH (source:`SCROOGE`)-[r]-(target:`THE CITY`) - RETURN r - :result:, ) type='DIRECTED' properties={'keywords': '"disconnection, personal evolution""reflection, urban life"', 'description': '"Scrooge\'s reflections in the City highlight his relationship with his past and the contrast of his current life.""Scrooge\'s relationship with The City is marked by detachment, representing his lost connection to his past self and experiences."', 'weight': 10.0, 'source_id': 'chunk-bb21d58d36c6306fd8810ddd51c4a971chunk-c6c248858d1b13ab7ee9ca13c1aeed6b'}> -2024-10-29 15:34:53,265 - lightrag - INFO - get_edge:query: - MATCH (source:`SCROOGE`)-[r]-(target:`THE YOUNG GIRL`) - RETURN r - :result:, ) type='DIRECTED' properties={'keywords': '"reflection, lost love"', 'description': '"Scrooge reflects on his past feelings for the Young Girl, recognizing the change in his own spirit and desires over time."', 'weight': 8.0, 'source_id': 'chunk-54bdd22db1f84a965b5f4c06c9216d8d'}> -2024-10-29 15:34:53,357 - lightrag - INFO - get_edge:query: - MATCH (source:`CHRISTMAS`)-[r]-(target:`CHRISTMAS EVE`) - RETURN r - :result:, ) type='DIRECTED' properties={'keywords': '"holiday significance, festive anticipation"', 'description': '"Christmas Eve sets the stage for the events leading to Christmas, amplifying the significance of the holiday in Scrooge\'s transformation."', 'weight': 8.0, 'source_id': 'chunk-74e2466de2f67fd710ef2f20c0a8d9e0'}> -2024-10-29 15:34:53,452 - lightrag - INFO - get_edge:query: - MATCH (source:`CHRISTMAS`)-[r]-(target:`SPANISH ONIONS`) - RETURN r - :result:, ) type='DIRECTED' properties={'keywords': '"culinary tradition, seasonal offerings"', 'description': '"Spanish Onions are part of the seasonal offerings that contribute to the culinary landscape of Christmas."', 'weight': 7.0, 'source_id': 'chunk-99b0ec7f7e006561352b5d65e849611d'}> -2024-10-29 15:34:53,543 - lightrag - INFO - get_edge:query: - MATCH (source:`SCROOGE`)-[r]-(target:`THE COLD`) - RETURN r - :result:, ) type='DIRECTED' properties={'keywords': '"metaphor, emotional state"', 'description': '"The Cold serves as a metaphor for Scrooge\'s emotional state, indicating his lack of warmth and compassion."', 'weight': 8.0, 'source_id': 'chunk-74e2466de2f67fd710ef2f20c0a8d9e0'}> -2024-10-29 15:34:53,639 - lightrag - INFO - get_edge:query: - MATCH (source:`CAMDEN TOWN`)-[r]-(target:`SCROOGE`) - RETURN r - :result:, ) type='DIRECTED' properties={'keywords': '"logistics, festive preparation"', 'description': '"Scrooge mentions Camden Town in relation to the impracticality of delivering a large turkey there."', 'weight': 5.0, 'source_id': 'chunk-8f738cb25d60a7dab782162d9d0a25ed'}> -2024-10-29 15:34:53,731 - lightrag - INFO - get_edge:query: - MATCH (source:`MULTITUDES`)-[r]-(target:`SCROOGE`) - RETURN r - :result:, ) type='DIRECTED' properties={'keywords': '"alienation, introspection"', 'description': '"Scrooge\'s feelings of alienation are heightened as he witnesses the Multitudes, illustrating his inner turmoil and societal disconnect."', 'weight': 8.0, 'source_id': 'chunk-f1a4fbcf1ed86864b9bfd5e8dba4c683'}> -2024-10-29 15:34:53,828 - lightrag - INFO - get_edge:query: - MATCH (source:`LITTLE FAN`)-[r]-(target:`SCROOGE`) - RETURN r - :result:, ) type='DIRECTED' properties={'keywords': '"family, nostalgia"', 'description': '"Little Fan\'s joyful visit emphasizes family love and the nostalgic warmth of childhood memories for Scrooge."', 'weight': 9.0, 'source_id': 'chunk-c6c248858d1b13ab7ee9ca13c1aeed6b'}> -2024-10-29 15:34:53,919 - lightrag - INFO - get_edge:query: - MATCH (source:`SCROOGE`)-[r]-(target:`THE DRESSING-GOWN`) - RETURN r - :result:, ) type='DIRECTED' properties={'keywords': '"characterization, solitude"', 'description': '"The Dressing-Gown emphasizes Scrooge\'s character as a solitary, reclusive man, reinforcing his isolation during the haunting."', 'weight': 7.0, 'source_id': 'chunk-9c43dac2fcd5b578242d907ea6f8fc7b'}> -2024-10-29 15:34:54,013 - lightrag - INFO - get_edge:query: - MATCH (source:`ALMSHOUSE`)-[r]-(target:`SPIRIT`) - RETURN r - :result:, ) type='DIRECTED' properties={'keywords': '"social critique, awareness"', 'description': '"The Spirit shows Scrooge the Almshouse to illustrate the plight of the poor and the societal neglect present during the holiday season."', 'weight': 9.0, 'source_id': 'chunk-e7637ff18c5ded77a68cce0a87883fad'}> -2024-10-29 15:34:54,104 - lightrag - INFO - get_edge:query: - MATCH (source:`SCROOGE`)-[r]-(target:`THE PAST`) - RETURN r - :result:, ) type='DIRECTED' properties={'keywords': '"self-reflection, choices"', 'description': '"Scrooge must acknowledge The Past to understand his current situation and guide his choices for the future."', 'weight': 9.0, 'source_id': 'chunk-91572b3cd42786ba4cb2f180ca25cbf4'}> -2024-10-29 15:34:54,195 - lightrag - INFO - get_edge:query: - MATCH (source:`JOE`)-[r]-(target:`THE WOMAN`) - RETURN r - :result:, ) type='DIRECTED' properties={'keywords': '"dialogue, humor, death""humor, interaction"', 'description': '"Joe and The Woman engage in dialogue about the deceased\'s belongings, showcasing their interactions and differing attitudes towards death.""Joe and The Woman share a humorous exchange about the bed-curtains, reflecting the jovial spirit of the gathering."', 'weight': 12.0, 'source_id': 'chunk-89777b838d5447c7bd1ec11282c4ee89chunk-e1f29eeadc1d8ab46dc8a0bbd3c56b64'}> -2024-10-29 15:34:54,287 - lightrag - INFO - get_edge:query: - MATCH (source:`GHOST OF CHRISTMAS YET TO COME`)-[r]-(target:`SPIRIT`) - RETURN r - :result:, ) type='DIRECTED' properties={'keywords': '"foreshadowing, guidance"', 'description': '"The Spirit is connected to the Ghost of Christmas Yet to Come as both serve to illustrate potential future outcomes for Scrooge."', 'weight': 7.0, 'source_id': 'chunk-02baee20cc9463dbe08170a8e1043e32'}> -2024-10-29 15:34:54,376 - lightrag - INFO - get_edge:query: - MATCH (source:`SCROOGE`)-[r]-(target:`TWELFTH-NIGHT PARTY`) - RETURN r - :result:, ) type='DIRECTED' properties={'keywords': '"celebration, contrast"', 'description': '"The Twelfth-Night Party serves as a representation of festive joy that contrasts with Scrooge\'s initial isolation."', 'weight': 8.0, 'source_id': 'chunk-e7637ff18c5ded77a68cce0a87883fad'}> -2024-10-29 15:34:54,469 - lightrag - INFO - get_edge:query: - MATCH (source:`CHRISTMAS`)-[r]-(target:`SCROOGE'S NEPHEW`) - RETURN r - :result:, ) type='DIRECTED' properties={'keywords': '"advocacy for holiday spirit, family dynamics"', 'description': '"Scrooge\'s Nephew defends the positive aspects of Christmas, contrasting Scrooge\'s view that the holiday is pointless."', 'weight': 9.0, 'source_id': 'chunk-5dac41b3f9eeaf794f0147400b1718cd'}> -2024-10-29 15:34:54,561 - lightrag - INFO - get_edge:query: - MATCH (source:`DEATH`)-[r]-(target:`SCROOGE`) - RETURN r - :result:, ) type='DIRECTED' properties={'keywords': '"existential crisis, contemplation"', 'description': '"Scrooge grapples with the idea of Death as he witnesses the aftermath of The Deceased\'s life, leading to an inner turmoil."', 'weight': 9.0, 'source_id': 'chunk-e1f29eeadc1d8ab46dc8a0bbd3c56b64'}> -2024-10-29 15:34:54,657 - lightrag - INFO - get_edge:query: - MATCH (source:`SCROOGE`)-[r]-(target:`THE COUNTING-HOUSE`) - RETURN r - :result:, ) type='DIRECTED' properties={'keywords': '"work environment, character development""work environment, personality reflection"', 'description': '"Scrooge\'s work environment reflects his personality, being cold and uninviting, mirroring his discontent with life.""The Counting-House is where Scrooge works, illustrating the environment that shapes his bleak personality."', 'weight': 14.0, 'source_id': 'chunk-d9aac3484185ac66045df92214d245d5chunk-74e2466de2f67fd710ef2f20c0a8d9e0'}> -2024-10-29 15:34:54,753 - lightrag - INFO - get_edge:query: - MATCH (source:`GHOST OF CHRISTMAS PAST`)-[r]-(target:`SCROOGE`) - RETURN r - :result:, ) type='DIRECTED' properties={'keywords': '"reflection, past influence"', 'description': '"Scrooge engages with the Ghost of Christmas Past to explore his earlier life, seeking insight into his current state."', 'weight': 8.0, 'source_id': 'chunk-bb21d58d36c6306fd8810ddd51c4a971'}> -2024-10-29 15:34:54,848 - lightrag - INFO - get_edge:query: - MATCH (source:`SCROOGE`)-[r]-(target:`SCROOGE'S NIECE`) - RETURN r - :result:, ) type='DIRECTED' properties={'keywords': '"family bonds, celebration""ideological conflict, family dynamics"', 'description': '"Scrooge\'s Niece expresses indignation towards Scrooge\'s belief that Christmas is a humbug, demonstrating her strong opinions against his views.""Scrooge\'s niece embraces the joyful atmosphere of the celebration, engaging with family and inviting good-natured fun."', 'weight': 15.0, 'source_id': 'chunk-773d0df1dd25c356f7b771d780583e09chunk-43c9bee23adfa77aa9dedd22401bba7d'}> -2024-10-29 15:34:54,945 - lightrag - INFO - get_edge:query: - MATCH (source:`GAOL`)-[r]-(target:`SPIRIT`) - RETURN r - :result:, ) type='DIRECTED' properties={'keywords': '"empowerment, societal change"', 'description': '"The Gaol represents the consequences of societal indifference, highlighted by the Spirit to show the need for empathy and reform."', 'weight': 8.0, 'source_id': 'chunk-e7637ff18c5ded77a68cce0a87883fad'}> -2024-10-29 15:34:55,038 - lightrag - INFO - get_edge:query: - MATCH (source:`SCROOGE`)-[r]-(target:`THE BED`) - RETURN r - :result:, ) type='DIRECTED' properties={'keywords': '"contemplation, mortality"', 'description': '"Scrooge observes The Bed where The Deceased lies, prompting profound thoughts on mortality and regret."', 'weight': 9.0, 'source_id': 'chunk-e1f29eeadc1d8ab46dc8a0bbd3c56b64'}> -2024-10-29 15:34:55,130 - lightrag - INFO - get_edge:query: - MATCH (source:`CHESTNUTS`)-[r]-(target:`CHRISTMAS`) - RETURN r - :result:, ) type='DIRECTED' properties={'keywords': '"festive foods, sensory experiences"', 'description': '"Chestnuts are sold during Christmas, contributing to the sensory experience of the holiday."', 'weight': 8.0, 'source_id': 'chunk-99b0ec7f7e006561352b5d65e849611d'}> -2024-10-29 15:34:55,228 - lightrag - INFO - get_edge:query: - MATCH (source:`GHOST OF CHRISTMAS PRESENT`)-[r]-(target:`SCROOGE`) - RETURN r - :result:, ) type='DIRECTED' properties={'keywords': '"transformation, mentoring"', 'description': '"Scrooge is led by the Ghost of Christmas Present, who teaches him valuable lessons about generosity and compassion."', 'weight': 10.0, 'source_id': 'chunk-843b5b2f944c7413d9ca876e2e2f151f'}> -2024-10-29 15:34:55,316 - lightrag - INFO - get_edge:query: - MATCH (source:`FRIDAY`)-[r]-(target:`SCROOGE`) - RETURN r - :result:, ) type='DIRECTED' properties={'keywords': '"storytelling, childhood memories"', 'description': '"Scrooge\'s mention of Friday signifies his recollection of childhood stories and influences during Christmas time."', 'weight': 5.0, 'source_id': 'chunk-8590d9263cd2cd4fa583c432fc54e6c3'}> -2024-10-29 15:34:55,403 - lightrag - INFO - get_edge:query: - MATCH (source:`SCROOGE`)-[r]-(target:`THE PEOPLE`) - RETURN r - :result:, ) type='DIRECTED' properties={'keywords': '"community, joy"', 'description': '"Scrooge greets The People he encounters with joy and a newfound delight, signaling his welcome transformation."', 'weight': 8.0, 'source_id': 'chunk-8f738cb25d60a7dab782162d9d0a25ed'}> -2024-10-29 15:34:55,492 - lightrag - INFO - get_edge:query: - MATCH (source:`GHOST`)-[r]-(target:`IGNORANCE`) - RETURN r - :result:, ) type='DIRECTED' properties={'keywords': '"societal issues, responsibility"', 'description': '"The Ghost presents Ignorance to Scrooge as a representation of societal neglect and a call for responsibility from humanity."', 'weight': 8.0, 'source_id': 'chunk-e7637ff18c5ded77a68cce0a87883fad'}> -2024-10-29 15:34:55,579 - lightrag - INFO - get_edge:query: - MATCH (source:`MARLEY`)-[r]-(target:`SCROOGE`) - RETURN r - :result:, ) type='DIRECTED' properties={'keywords': '"mourning, partnership""past influence, personal history""redemption, confrontation""supernatural connection, past relationships"', 'description': '"Marley’s influence and past relationship with Scrooge is indicated, suggesting a connection that impacts Scrooge\'s character growth.""Scrooge is deeply affected by Marley\'s death, illustrated through his role as the sole executor and mourner of Marley.""Scrooge reflects on Marley, revealing his past connection and the haunting aspect of Marley\'s death, which influences Scrooge\'s character arc.""Scrooge\'s encounter with Marley’s Ghost serves as a confrontation with his past self and the life choices he regrets, depicting the theme of redemption."', 'weight': 32.0, 'source_id': 'chunk-d9aac3484185ac66045df92214d245d5chunk-843b5b2f944c7413d9ca876e2e2f151fchunk-89777b838d5447c7bd1ec11282c4ee89chunk-9c43dac2fcd5b578242d907ea6f8fc7b'}> -2024-10-29 15:34:55,671 - lightrag - INFO - get_edge:query: - MATCH (source:`MARLEY'S GHOST`)-[r]-(target:`SCROOGE`) - RETURN r - :result:, ) type='DIRECTED' properties={'keywords': '"supernatural confrontation, regret""warning, fate"', 'description': '"Marley\'s Ghost warns Scrooge about the consequences of his actions and the visits of the three spirits, setting the stage for his transformation.""Scrooge is haunted by Marley\'s Ghost, which confronts him as a part of a supernatural occurrence meant to incite fear and reflection on his life choices."', 'weight': 18.0, 'source_id': 'chunk-9c43dac2fcd5b578242d907ea6f8fc7bchunk-cb661c37436355ccec2769b1d0350c5f'}> -2024-10-29 15:34:55,763 - lightrag - INFO - get_edge:query: - MATCH (source:`CHRISTMAS`)-[r]-(target:`SCROOGE`) - RETURN r - :result:, ) type='DIRECTED' properties={'keywords': '"character development, festive spirit""conflict, holiday spirit""contrast, seasonal significance""disconnection, festive spirit""holiday significance, reflection""reflection, redemption""seasonal significance, emotional reflection""transformation, festive spirit""transformation, holiday significance""transformation, holiday spirit"', 'description': '"Christmas is a central theme that invokes Scrooge\'s memories of his past, his feelings of loneliness, and his desire to connect.""Christmas serves as a focal point for Scrooge\'s emotional reflections on joy and his disconnect from societal celebrations.""Christmas serves as the catalyst for Scrooge\'s transformation, highlighting themes of giving and compassion.""Scrooge expresses disdain for Christmas, viewing it as a burden rather than a celebration.""Scrooge\'s attitude towards Christmas highlights his disconnection from the festive spirit and charity associated with the holiday.""Scrooge\'s character contrasts sharply with the joy of Christmas, highlighting his disdain for the festive season.""Scrooge\'s experience during the Christmas event highlights the transformation of his character and the spirit of the holiday.""Scrooge\'s journey with the Spirit ultimately leads him to reflect on the meaning of Christmas and its impact on human connections.""Scrooge\'s transformation and newfound joy are directly linked to the spirit of Christmas.""Scrooge\'s transformation is centered around the spirit of Christmas, which he learns to embrace and celebrate.""Scrooge\'s views on Christmas evolve as he witnesses the joy and familial love associated with the holiday, marking a shift in his character."', 'weight': 95.0, 'source_id': 'chunk-91614df5cb74cbe5e109a338a82041e9chunk-8f738cb25d60a7dab782162d9d0a25edchunk-e7637ff18c5ded77a68cce0a87883fadchunk-8590d9263cd2cd4fa583c432fc54e6c3chunk-54bdd22db1f84a965b5f4c06c9216d8dchunk-90d5764e301321c087f5a8f78b73a145chunk-da2472b4ef2a535b62908f14d0fb0ca9chunk-94bea83e7153fc2064aa382b494936a1chunk-89777b838d5447c7bd1ec11282c4ee89chunk-99b0ec7f7e006561352b5d65e849611dchunk-74e2466de2f67fd710ef2f20c0a8d9e0'}> -2024-10-29 15:34:55,856 - lightrag - INFO - get_edge:query: - MATCH (source:`POVERTY`)-[r]-(target:`WEALTH`) - RETURN r - :result:, ) type='DIRECTED' properties={'keywords': '"contrast, societal norms"', 'description': '"Wealth is juxtaposed against poverty, emphasizing the harsh realities faced by those consumed by the pursuit of money."', 'weight': 7.0, 'source_id': 'chunk-b2f98bc7abb0c67d4c86055c7fd72218'}> -2024-10-29 15:34:55,947 - lightrag - INFO - get_edge:query: - MATCH (source:`SCROOGE`)-[r]-(target:`WANT`) - RETURN r - :result:, ) type='DIRECTED' properties={'keywords': '"social critique, consequences"', 'description': '"Scrooge is shown the consequences of Want, reflecting on the impacts of desire and neglect in society."', 'weight': 9.0, 'source_id': 'chunk-02baee20cc9463dbe08170a8e1043e32'}> -2024-10-29 15:34:56,038 - lightrag - INFO - get_edge:query: - MATCH (source:`GHOST`)-[r]-(target:`HUMANITY`) - RETURN r - :result:, ) type='DIRECTED' properties={'keywords': '"social consciousness, humanitarian appeal"', 'description': '"The Ghost symbolizes humanity\'s need for introspection and change, urging Scrooge to recognize and act upon social issues."', 'weight': 9.0, 'source_id': 'chunk-e7637ff18c5ded77a68cce0a87883fad'}> -2024-10-29 15:34:56,129 - lightrag - INFO - get_edge:query: - MATCH (source:`FROST`)-[r]-(target:`SCROOGE`) - RETURN r - :result:, ) type='DIRECTED' properties={'keywords': '"atmospheric condition, characterization"', 'description': '"Frost enhances the chilling atmosphere around Scrooge\'s life and mindset, reflecting his cold character."', 'weight': 8.0, 'source_id': 'chunk-d9aac3484185ac66045df92214d245d5'}> +2024-10-30 06:54:33,137 - lightrag - INFO - _find_node_degree:query: + MATCH (n:`SPIRIT`) + RETURN COUNT{ (n)--() } AS totalEdgeCount + :result:13 +2024-10-30 06:54:33,309 - lightrag - INFO - _find_node_degree:query: + MATCH (n:`MARLEY`) + RETURN COUNT{ (n)--() } AS totalEdgeCount + :result:5 +2024-10-30 06:54:33,363 - lightrag - INFO - Global query uses 18 entites, 37 relations, 3 text units diff --git a/neo4jWorkDir/vdb_chunks.json b/neo4jWorkDir/vdb_chunks.json index 02b9e777..68ad9377 100644 --- 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QCb39SxQ9CrVmPSAGLj038eK81cPVvCqIEDuhORc7wf9BvGMgDjwLAmk8m2uJPRUEFzu1/So8pKDSOtQDBz3uSCa9EAPAvLt+NjpCpve7B87fO2MgDruFzb88Xh+3vKmhKbwN3J67RnScvMl0vLxiEyY7svzTPBaRs7v6ZI092QTHPIgnKrw9vwc9WMT1PErbV7uDs287r+IaPLpxzrvM2w487XtYvGquarq/Zb08DlzTOjwyVDtZ3sW8ebFYOhCDizu3PcU8i1szPeFf8bo8cgW7/pj/PGYHlbxS0B09tXD3vDHjurweeRE8n58SPIc0kjyvouk7Mz0lO9rRlLy3Cvw7HFJZPK5VZ72ZER+8twoTPPBi37uG54+8SmgLvetuB70KaGQ7sYmHO0mbPT21cHe8StvXPFUq8bxUnVS8eX4mPHEWlLwaOCC9SlujPCl7KDxO3K48MrAIvFxFmDogE5Y8jw8IveDfvLz7sfg88OKqvBzfDLyETQs8970gPEjOBjyS9o48ebFYvHIW/TwSncQ8mDcAPOKs8zxbODC9v2U9PMOmrrvnrUo8cMmRvNVDITyZkdO8BTTbPOFf8Txd0jQ9aOEzPbVwDjwlB+47Bw6RO3mxWLwlhzm8lzfpPJRQ4jzy/GO7ujG0PLpxzrwCjYU7MnBXPJI2qbyZ0e07whmSuzYkrLxWt6Q7cmMWPOYtFj1aq5M7YDmHPD5MJL3J9PC7hhrCu6dHvzyKTss8/pj/u8k0IjxMApC8bNUiPINmbTz5V6W8IEZIvSq7wrwwFoS7d+ShvIIm07w98jm9czDNvFZ3c7vLwT67WRF4vPukJzwdLA+9GB5QvK5V5zzW3aU7lzeAPPFvR7y1vZC8AcA3PMYNgbubnjs8VXcKveFfCL0fuSs57Tu+u5YqGD0rVce8wH+NvPux+DzzCUw9mx4HveohBTxslXE7TtyuuyKTyryzVr489jBtPP1LlDzPAjC7DpxtPA4cubtaK0g8nlKQPAMaIr1Owt68iQHJPGjhMz02ZMY7rQhlvTkLszySNim9216xPDcxFDsPNok8x83PO5z4pbzyr2E8UgPQuptr8rweeZG7rQjlu/J8L7rrrqE7MnDXu9kExz2/Zb08AsC3unq+QD02pOA85NMrvCxirzsFdIw89Ba0PK7VMr3vSCa8znWTvPYjHD3rrqE8nlKQu2YHFbxBM6u984kXvagUjbyIgRS77shavPI8lbzfxWy8eDEkvSZUcDtaK8i7BvTAPLRwDr07JQM9/f56PQibLT3C2WA84jknPfc91Ty518k7KxUtu3JjFr01V168ZS1fvNuRYzyTA+C75eCTOjoYGzxJm728BTTbPO172LqLKAG8G9KkOytVR7uJgf07bm8nPIDM6DiVnWS8UkPqvNDC/jtz8LK7lNCtPC9JNj2QHFk9OpjPPFOQbLt6/lq6rZUYvc0bKbwSXSo9LCKVOwEzG7yk4IM8UfZnPGB5oTvBP1w8PT88PR1sqby9mIY7YyAOPf+YFr1HwR69MIlQPJyrozpW9z49/D4svO+VqLyz1vK88W/HvIYaQrzh7CS9chYUvE3CXjqzI4w8o9MbPAPaB7pO3K68MInQOx6swzuCs4Y8dP2aPEEzqzy5JMy8JlRwvK2VmLwQ6e88DpztO5e3NDy7Phw9w5nGPA+2vTqsyEo7hU30vG3i87xXRMG8KrtCvIAZgjuINPu84N+8PKMGTrymOte8Q0D8Oa6iAD1ooRk8A5pWvXXK0Tz0lui7BSeKu9Hczjvjhqm8r6JpvN8Shjwo7gs9J+GjOAYBqbsaRQi8tbAoPB/5xTs5S0073xKGPJc3ADsU9648X9+cPHmx2LzeBZ67Tg9hvTKwCL3Ljow6XZIavHT9mryfn5I8664hu/Yw7bu5pBe8JAcFPJUQyDtEjf68H8aTPKhUp7tq++y8CJstvFTdbryBZgQ7/UsUPQ+c7bxixqM7dpcfvGo7nrzKQQq9p7oiO94FHj1LtY08hzSSvCvVezyLWzM9kJwkvRzfDL3X6g08sDyFPBIdkLy18MI8tbAoPOFfiDvPwpW8JXrRPBPQ9rwPtj29UOkWvBDpbzrm4Py74N+8PGdUFz3eBZ68m6ujvAQnCr2rbuC6qu4rPWb6rDtGNII8znX8vJAcWbvdeAG7TPWnvQgbYrz01pk82tEUOQcOEbzfkro7hE2LvEhB07uJAck7ZK0qPOUgrrvJNCK9vIueO0qoJbolVIe8pCCePANaPD2vYs87I7oCPO8VXb0BQIM8kA8IPGFG2DwzvVm8JtS7vB854LyIJyo87lWOubnkMTyZER+7gZk2O2mu6jxKWyO8Xt8cPRDpbzt2VwW8DikhPb4YuzwGwQ67ZXphPJXdlTyqrpG85cbDvBQd+burO667ykFzPA5pO7yZ0QS9NArcPGkuNrsImy07BjRbvHS9ALwLAoC8CFuTPLEJPDxtlXG8whkSPalUJ71mx2O9viWjvDrYALyqrpE8aKEZvNT2Hj3DJuM6q3vIO8daA71XEQ+8tf2qPMrBPr0116m7+7EPu1H2Z71YUSm8hE2LuzAWBD1eH7e81cPVPE2CxLsSHRC9lRBIPJgENzzieUE8eDEkOwIAUjo+TCQ80RwAPeCfojsDmtY87LsJPQUnCjwuPE68RNoXPFrrLbwcBde7FB35u2yViDtv/EO8LKJJPHvYELnk0ys8EIMLvWRtkLzWXdq7pvo8ulgReDqLm0086iGFPI5Cujyr+5M8QFn1vPkKI7wQwyW9KXuou/AiRbw4PuU6tKPAu/2LrjsMj5y7CFuTPJQQSD0Mjxy6EOnvPGaHSTxIDqE8KTsOvD7/ITyYhAI9HN+MvDak4Ly4l687l6pMvH9MNDylbaA8e1jFPOP59bwWkbO7M/2KvMwbqbv9iy48iQHJPJ6SKjsMAgA90+k2vOy7CTwDjYW8e9iQPCvVEj2W3RU87XtYO9BPsrvj+fW7BGekO8SzlrzJ9Ic7FB15vDAWhLptYj+8IqCyPEKALb1LKNo7K1VHvSWHObxjIA687lWOPC/Jgb1UEDi8Eh0QPAwPUbyaHgc8aKGZPLnXSTwcHye7lJATvYWajTzv1UK9uFd+vJfqZrwDjYW8Z1SXPJ8fR7tAmSY8E2oSvSUH7rwe7F28+MrxvDRKDT2f0sQ7vzKLvHXK0TzH2re7fcSkPFqOkDwzBEm9JXWPPIUkobzg8bs8EBt7vBfKP7xOPtK7/+rHvEwGNT2Hagm94qLzvJ/CGzzfMjk92G5LPHpbSLzJmak8XqgkvHAu/jwxzCs91IxUPHwaS7veq9M8xA1ZvDrWgT2yB3g8guyDu+VamD3diN87t36fvCOowbwIGJI8E0w6PFK8VzyFsmS8QBMKvQrJybyg+ji74qLzvGqGJruKxZq9rMMRu/A4mrwVvHQ8+JiWvM9PTD3L9Lq8/3GtPOxWIz1qsPi7v2zfPLVNYLw7chA9PTGTvSef4bzcUEK9b6C6u6NHfzznLsS7WrEEPbW/HDwl7im9xlNBvXXdwrxAoc2850PtuxszHD2JMGq9poaJvAUoUD3VEzo98wzGvLyYs7twroW92qZou1fPjTzH/Zo8cCegvOTFZ7z2dSI8GYlCvLruWTjntam8xkX2u8pDAzsjtgy9T2FGOyV1jzxLzhc7F7UWvEvOFzvV/hC7QBMKvfuBaz2u+y69zAnkvMABED3VBe+884VgvIdqCT0KyUm83paquyxjz7zOZHU9np8nPYE037zwKs+8fxHrvAvXlLySs9q9gt44PPwrxbzkb0E9UCDJvI/0Vz2NC4O83iRuPRW8dLyo6Hg82AraPDFouryh+rg7l83uuxW8dLtBr5i6B+fSPDyqLT1p6hc92IP0u82eFD2gXiq9dhXgvKp9qbyK2sO8wKT8PPL3nLxZB6s7GSVRPEP1gD0fOIe8/TmQvTMZcrzLAga92IP0OxYZiD39ORC73iRuO5xZP73suhS9HfKeu3QsizwzGXI89gNmPLVGgjwWGQi87z/4uw7A6Tx2eVG9WfnfuzoV/butiXK8FafLPMm8HT09OHG8eThUPfOo1Lq2Wyu9bgSsu1PKortiA7a83qtTvQXE3jzH2ia7BSjQvL5Xtru6YBa8W9tWvQiRLDyDbHw8GGZOuw2WFz0mJse7ZWwSvWsitTunIpg8l/BiO9avyDxMG948JXztOmcy8zyNIKy7eXDxuiqBWDvrHgY7zZDJvGhOiT0ZAt088WJsu4EtgTuL6A49SIgvPR+xoTy1RoI6QKHNPClXBj0o1/48WZVuPcY+mLtwPMm8X6gkPWKKG73Hi168JRGePNYoY7wDdxg6zAIGPD/wlTxAjCS8l2KfPWjHozyBphs9s5wovCetLDvcXo08CHyDvBE+bzyTSAu9cXTmPD7NobsteHg9pGMVvXhNfb0zBEm9t36fvD5bZTtXSKi7ogiEvJWV0TscVpA8PTETvRRahTx23UI8zHsgPGw3Xr2rGTg9ZzLzvMDHcL04uuu8Mfb9O2Mmqj1Atna6rolyPW6gOjz9XIS9hSQhujyVhLsCzb68B+dSPZj+Lb3PcsA6D+PdOyXuqbxox6O7xH8VPa7mBb3P61o8fIyHPK8zzDx8k2U8w+OGuk9MHTuGwC87E9OfPAFG2by1RgI5gJjQvIQ5Sj2YYp+8jUMgvP3c/Dy5PaI80rgoPTaXd7z9OZC9iA12PEtqprzP1rE84rA+Pbgv17tPdu88+l73u2GfxLtnQD48YWenPPLp0bxZ+V+8KxYJO54Ywrumhom8Ooc5PWqGprupWrW8Mmg6PVK8V7xiAzY9v2xfvFq44rxM+Om7swf4vKsnAz2X27k8UZnjvFiV7rvY4Ic8beG3vO4Vpj0vm2y7RlASOxEb+7y4oZO7wSSEO5+0UL2AHzY93pYqvJ6fpzzdgQE8OhX9uxvk07qX27k8qxk4vFBvEb0vItI88FsOPcE5Lb22BQW8rfuuu7y7J7u3fh885PYmvZKzWjzrEDu8QtKMOjlB0bwo1/47i0yAvKjoeDyU5Bm9guwDPJl3yDy8rVy8lQcOPXXrDb1//MG8gxbWvGjcTDtU9PQ84qJzPQh8gz07cpA9GYnCvAShajwy7588qi7hPDmzDbwEEyc8UlGIPNZLV7zPXRc9MDCdPAU2G7pGemQ9JNkAvBAbe7y+ZQG8YoobuqebMr3LAgY9f+eYuyXZgLxasYQ93NenPKXcrzuu5gW9k0iLO5+00LwtcZo89L39PD04cTyBLYE884Xgu5u9ML3GU0G95PamPO3PPbwIptW8KysyvFvGrT3M9Lo71ktXu+M3JD3qidU8wTmtu5diH7yWqvq82IP0PPJwN7xnKxW7EaJgvTH2fbwU6Ei6eeKtO+r7ET0BRlm88WJsO+cuxLzeq1M9rWb+u+55lzwtcRq8J62svF4MFr0xaLq6ewUivRtd7rwTTDo9fu72PBqXjbzOsz0919I8vXF05rtZle68nWeKvPiYFj2cAxm71HcrvWwwgL1Yle47G8FfvTQnPb39siq8ALgVO3hN/TyzABq86didvX5gs7vX0jy8WqO5vN36mzzvP/i7iH+yPLCs5rwVhNe8OCyoPNYoY718jAc9x3Y1PVJRiDwrFok8tCOOvTuHuTveJG69LU4mPewzrzwXtZY8Iek+PK+sZj06T5w8/dx8vKugnbzsSFg9+JgWPNQFb70Y7bM8OhV9PIEtgTszEpS8aeqXvAAcBz2KU968j9HjO9NpYLwc5FO8z9axO4yEnb3aGKW9y/S6vCHpPrwca7m8gDRfvTpPnLzLWKy8sfLOvPXgcbxTQz08Nua/PLcFBT3Yg/S8yHa1vAh8AzwJQmQ7YpF5O94kbjzmIHk8rdi6vBmJQrw0J708FafLOmB80LwPVRq7+EnOvCoIPj1UF+m7Z7lYO+eggLtjrY+7mPDiPJWAqDyRAqM6jljJvOenXrycbmi8j8oFPXgjKz0c5FM9qej4PJJPaboDBVw9TlP7vPXLyLqm/yM8WOS2vF6oJDwvm2w8HhWTO89k9bpBYFC8TPjpvHXP9zvi/wa9/DkQuV2FMDtsMAA9QT3cvL1J67wzi648Fbx0PGKKmzzdgQG7xA1ZvRWnyzzbO5k6U3taPbxJa7yeyXm9o0f/vGhVZzxs02y6h+MjOs+H6byAH7a8JybHvMsCBj3kxWc8j9HjuppElrw2l3e71ihjPVUCQL0ziy484hQwPQMF3LzCwBK9GN9ovRNMOj3heCE74H//PDVtpTwt1Qu8jISdPLwmd7yCeke91jYuvXAnoDxMG1674rA+PaKWxzznoIC8htXYO/iYFruvM8w8xBskPLVNYDyn0088mr0wO33EpDwoSbu80IfpO1GZ4zvy95w8oNfEvDaX97vccza8HORTPXHDLr0EE6c6DatAvEE93LxBxME8ZEmevLJkizxUZjE9K6RMvG72YL2ZhZM7MXaFPMW3MrwRmwK9PlSHPDy/1rxJ1XU80YALvRPTH7uzFcO8yBLEPILJj7pbxq27qZLSu8LVu7tYcno7itrDPLClCD30th87phTNvNzXp7uMmca8ZiuVu1iVbrt5W0g7ZiuVu+RvQT0bzyq9PTjxPOXoWzxZ+V+8g2x8vOr7ET3g8Ts9rxBYvTnWgbrp2B095y7EPNRpYD1h7oy8EbAru3woljoHCse8LU6mvFLfSzwZAl08BTYbO+aStTyCeke9dM/3POzB8rxasQQ8Kyuyu650ybvH2ia8Wo6QvFiVbrqRnjE7I6hBPDqHuTygSYE8ZNfhPKhoAL2EiBK9T3ZvvKoL7TtTQ70768FyPFvpITukQCG9ObONvMbMW7wy7x896xA7vD7iSjxQhDo831WtvLW/HD0y7x89swf4vK7mBbwdo1a9YYobvH/nmDsRG/u8hDnKvUmdWDuMhB29YWenvIkpDLyenye9u5izvBToSLxAjCQ9WflfOlq4Yrx2ZKi7Nua/PBqsNj35u4o7K48jvZ/Cmzzp2J07/tWevJxu6Dtbxq07VO2WPIiiJjwfYtm837mevGIYXz0sshe8X0SzO/ZnV7uQAiO8IXAkPeTo27zlWpg7fwoNu0gkvrypb169iDBqPCaYA7zIhIA8CS07OhRahTz/+JI6kjrAvMtYLL06ANS7zl0XvE4+0rwg/ue8CKbVvLnEB71AjCQ8kAKjuxmJQjzs5Oa8g2x8vHcOAjwuhsO8E8XUvK+lCLvzfoI8oXNTPBqsNjwKtKC8bDAAu1Wezjvp2B28O3KQPDwjyDzWKGO8xkX2u3Z5UTuVBw48y9FGPIUkoTsQakO8ruYFPTQ85ryQAiM87ORmvDnd3zuTSIs7/cfTPPf8h7zHaGo7/dx8PK2J8jwC2wm9fKGwvBAUnbzi/wa9DsBpPHppE7sD24k8BktEvBULPTwKycm8+eXcO9CHabswvuC9yZkpPHXdwrw0J728PltlO6HlDz3L35G8ysN7O0/TgrzjTM28ZOWsOnyMBz0buoE8ruYFPH5gszyY6YQ8tuIQPBklUbyB3ri8BKHqujC3grqstUY8KNd+vMdo6rxDkQ+8poaJvI7RYzzan4q8VYmlPLnEB71vi5E74XihO6KkkrzhFDC8u4MKPEC29ry8rVy5bvZgunDYVzzimxU9+dCzvJqaPLveHRC6McwrOxl0GbvGRXY8834CvTqHOTwaOnq7oFBfvf7Vnjx2FeA837kePX0oFrzuB9s7zZ6UO2+LEb0OwOm7w+OGvIt20rzlfQy8UQugOJohorzwxt27rFFVvKK5O7wY3+i8aqmauxxruTsIGJK8OUHRO/wWnLwcVhA90RyavEa0A71MBrW8l83uOvYD5jzwTcO8X+BBvdoYJTkDfva7gB82PRvPqryvHqO8WRzUPGsNDLyCbPw8tUYCPDrd3zxGtAM9B1kPvZ+0UDoJyUm9dXnRvDaX9zpIcwa8Sasjuovojjsbwd88nWcKPD/wFT2Y6YQ8AvCyOhE+77unIpg857UpvAPbibswt4K83iTuu1UQC7yJKQy6CjsGPc9dlzzNwQi9SaujPI/KhT1JRzK82ZE/O6p9qby8Seu7coIxPLru2TuTT+m87ORmvAbSqTtqIjW8H9QVPQfn0rigXqo6oXNTvDrWAbyVB448+wjRvLOxUby9Vza9kiWXOwAcB707chA7747Au8tt1byTSAs9Xr3NPBvPKj32daK7NUqxvDHvHzwL7D28Nua/vI5DoDt+gyc83XO2PEvjQLrEfxW7Hyo8vJaq+jyvHiO9KVeGvMkgjzsNlhe8af9APIJCqjtQkgW8fwoNvaXcL73Ud6s8wcdwvOsehrxSyiI8FhmIvISPcLsC2wk93YEBPaYUzbxxUfI8h5RbPQq0oLxyl1q74PG7PIiiJjyNICw9YhEBvF8vCrx0LIs8B244PWDLmLvbO5m8mPDiu3uhMDxeDJY8swAaPfS9fTxaxq08x+9PPPS2nzou6jQ7dEE0PISIErwkZ8Q8+4HrPL7zRDw9Rry8zsGIPKTHhrywpQi6PlvlPMDH8LyWKgK7/cdTPGUPf7zApHy8PCPIvFu44jpBtvY7iA12PJGJiD1uaJ28QBMKPdfSvLuJG8E7WGscO7d+H71HemQ7Zo+GOt4PRTodeYS85W/BvGnczLs9Rrw8e/fWvNPier2QZpQ83g/FvJGJiDxh7ow8HGu5PAPbCTgRPm88///wOzC3gjxC/N48swf4vOdDbTyU5Bm9c5faPMmu0jyh5Q88uxFOPNq0MzwuePi7tUYCPer7ET3k6Ns81ktXvKoL7Tu3BYU8WqM5vLMAmjtEH1M8M4uuPHMJlzzzkys8hsAvukhzBr0DaU08fxHrOUChzbxbxq26G8+qvA9VGjpYXdE82ZG/u98yuTzRHJo8wAGQPCEMs7y7Ec68WHL6OxvPKj2bWT88aeqXPPbuPLyaRBY8ykMDPaRVSjzwWw69TAY1vQ9qQ71xShQ7MKk3vIrawzzWNi69jIv7vN36mzuhD+K5LEDbu4E037yRiQi8DPqIu/ydAT2pb968//9wPBdmzrxC0gy9gS2BvEgkvjr9ORA8CJGsvJ2R3LyT+UI8GYlCvMwsWD1Zle68RrSDvBqXjTwOwOk8BtKpuzQ1iDwICkc7MfZ9vPCxNLxPdu88e6EwvDHMqzzwOBo9emkTPEt/TzwDaU288unRPOhfgzx/Co281PDFu6Vq8zyfwhs9TRQAvT9+2TxCSye9/dz8POjKUrvsupS7coIxPPFbjrpNG148o6SSuzaX97xM+Gk7Bvz7vKy1Rroal4088gzGu3m/uT1/ddw7wk7Wu77zxDyg10Q9zsEIvN4dkLw6Txw9H7h/vG3TbLxU7Ra9zZDJu6NHf7u8rdy74qLzPKKBnrwwMJ29fwoNvPU9BTxs4Tc8gB+2vGzhN7zKw/u6ybwdvbMqbDyeO7a82G5LOte9E71mj4Y8WfnfPDCpNz2iuTu8JybHPKNHfzxGtIO8e5NlO5ohojxh7oy7HY6tvF/gwTsceQS8GpcNuyyylzwrFgm8i3ZSPZECo7poTgm8CrSgPMPjBjz6V5k8gldTu40grDtYlW48xmhqvEz46TxaP0g7y1isvI2u7zyb4KQ8vK3cPAz6iDxU7Ra8Br2AvC1xmjzlWpg8MxlyPPYDZrz7gWs8cnRmPOBABLseFZM7MDAdPS8iUjveJG483paqvAb8e7zAAZA7iPjMuk5T+7xt02w8MeHUu0Z6ZL2dZ4q8EbArvJI6wLy0Iw68tE1gOvg0pTt0LAs9Zg9/Oskgjzj3isu8/tUePep0rDzRgIs88n4CPGs3Xjz6Vxm8BtKpu4kbwbz4u4q8IP7nO1qOkLsKO4Y7BcTePKebsrnfVS28E2FjvNoYJbzfuR68S+PAvJohIjsdFZM6f3VcPODOxzwbzyq9Ii8nvNEcGj10pSW84ylZvdPwxTzaydy7XSG/vL5XNjwLUK+8lqp6uzSuIjyH+Ew9arB4utdZojxLzhc8VqyZPMCkfDzUd6u8lhy3vPJwtztSvNc7FAu9PPpXmTorpMy8LdULu+3dCLwvm2w8t6jxOyYmRztxXz08Vjrdu9qfirsCzb46hI/wPKIdrbt4qhC6EbArPBdRJTw8qi29QLb2vLClCL0QG3u8rx4jPMW3Mr1JqyO8p0WMvEAoM7w15j+8EBt7uhIpxjzfR2K8HFaQvF826DtsMAA8zRcvvf/qx7zjKdk8xj4YvLMq7LxJqyM8tnDUPFP09DrnGRu85pK1ux2AYrzuB9u8x2EMvA65CzyvHiO8Y62PO9iD9DyaRJa8wbLHvLsRTrwJQmQ7j8qFPS3VC7y8SWs8T9pgvLwfGby+ZQE8GN9ovRRaBb1C2eo8747AOy3/3bxfLwq8/CtFvMPjBjufJg09TlP7vHuhMLxp/0C9+/OnvC6GQ72stca8dd3CPN4kbjxQ/dQ8AlSkPCn6cr2CyY87G0hFO9SM1Dz8x1O7PCPIvMv0OrxU9HQ828lcvJ/Cm7tYXdG7YgO2O8WiCT0Zlw28tJwoPQ2WFzvP69q8vB8ZunlGn7qyB3i5sKxmPM9k9TxOPlK9BTYbvbHyTjwCdxg8poaJPLnEBz1fRLO8gbvEPMQN2bxyl1q8ya7SO9K4KLw+4kq82zsZPbwfmTzs5Ga7x4vePNUhBb3imxW95yD5vIdqCbzeJG67xxJEvC+UDj3JIA+89BqRPNoYJb21vxy7IiHcuQduOL1JqyM7yubvvJEXTL2JKYy5ERQdPD5UBz1C2eq8tgUFPASh6rj50LO8nAMZPbOxUTwFNpu6wSSEO0ZQEr2hD+I7VHvaPMrDe7z7CFE8Br0APX3udjyg18Q8Mfb9PKjo+LsgcCS84zekPHA8STv0vX28oEkBPHv31jsBMbA8adzMvHS6TrzjsL68tdTFvCDUFTuXYp+7F8q/uwvXlDwnmAM7vVc2vZ47NrwQeA69enDxuanhmrxajpA8cUqUPGy+Qzu3fh88G11uPIWy5Dx4I6u84v8GPWWBO7wn0CA88CrPPGUP/zqONVU8JXWPOrio8bzsVqM8LdULvM0XrzzhFLC7BktEPNPN0byBphu8xlNBu+l0LLzwYmw8N4LOPFhdUTxD9YA8tve5u6THBjxGQse7RVdwusCk/LmTcl28qzwsOynzFL3PXZc6vt6bPOL/Br23qPE7Ii8nO8OUvrxdIb+8mOmEPNNUN72LTIA8T9MCvT8Fv7sKOwa8jP23PMfaJr0+zaG7jTXVvP5cBDxajpC6YQO2uk5hxjzMLNi72p8KveegAD2qBA+98LG0uiaKuLxjtO282XyWPOcZm7saOvo6172TvBYZiLwPBlK8uMtlvKxm/jx8k2W5fJPlvG5onTyO0eM8mbonORlhbjxfVPm89jbVPMYxCTzHjwS9MBvJvK+hxbulCpy8GcaKvOngCD3e7g+9pRcVvZgYIz3rYXo9mZ2JvBivxLuB/SA90/LJOryTPj32lFA8MEVgPGs2zbnfk8A867L8vCWEHz3r81m8pfCpPOp77D1ID+A7Uu6HvDCGvbwM7oM8jTbPPIKfJTxSMhG7PF5EvQLYS707Qaa70+8dvRm5kbz28ku9dlLdO/V0hrxS+4A5I56RvOp7bD3rRNy7jDMjPN8YJz2ZKMi8PIUvPekKoLyvqxI9AuKYvWuUSL12TzG9Uq0qOV4Ay7sBMxu9doZBPY2el7swvc28RkCYvDv9nDy7/jK8L4MRPQL16TwwXCa9pVT9vHYBWz28Dlg9DYY7vI4p1juwkSC9U+S6PF/m2DwZN9c8jrFoPI6+4by8zfo8I1oIvbxS4bxfr0i8GfAhvXbkPLwwYn68r108PdJAIDsvgxG9sNhVPesdcbyMxQK9gpIsverTDz3f/jS9r108vUdQPTtfWxo8vBvROrxfWj0Yxgq9sISnuJmqArtI6HQ9yDS1POl1FLz1arm7jGcHvUjL1jsZAMe9GcaKPCR3prslHFc8mVysvAICYz2NYOa8gYUzPUgc2bsk4ho8jLs1PZmgtbwv1BM9X6X7vKXm3LzTdAS8X5IqPaTGEjyYhkO89jbVPDF8cDwCpOe8aQkKvevZ57pIbVu8vHx4PEb8Dr2YqgI8O/2cOpiqgj3SYOq80yYuvEjywbwZXsK8GZj+OQKhOz0Mgw89dvRhugJDQL3e4Ra90yMCPKU33zzTYGq76eO0PPXipjwY04O805GiO1LHHD11Cyi9meESvIJrwTnSM6e8627zO1NMAz0wiem8SIdNPa8mrLpfeLi8meESvGuUyLyN/7686g3MvDvjKjyN5Uw8vHnMvI38kjwvTIG7rxaHvQG7Lbqlnyc9u1mCPBjZWzwMX1A8dvuCvY1NFT08ldQ8Ga9EvSOeET3qn6s86uZgPDuvRjylDUg7dU+xPLxS4TsCXbK7xnWSvKUNSD0ZzOI8Ag/cu4x3rDyCrB48vIlxPbs/kDwwAVe66SSSO9OrlDzGdZI8jf8+PdI2U7xS4Y68jCYqPRkQbL2O9fE7RrgFPdORojqZ8bc76njAPLBqNTyBrB69ME+tPV+5lbzHdRI9pRB0vHbXw7xTKEQ8mcpMvPY21Tu8zfq8mfE3PVOdBTuNOXs9r2cJvd9Mi70lHFe8UkyDuCOrCj0ZzOI7dYZBPI562LwCKc48AtWfvBluZzzTsey7R77dvCQcV71GFgE9RhYBvdNakr0ZVPW8vA5YPLyWaj1G1aM7xqyiPQyGuzvTely9RhaBvIJbHDxq/JC8MRF8PdI5f7yNlMq7R3eovCQp0LxfdYy8Xm5rPV4KGL0BhJ28pIW1PEe+XTxp/BA7DMeYOnWJbbz2dAY8jO8ZPXYBW73q0w+9AnrQvN4LLj2wrj47dmmjvEbvFTykVH08X0RUPbv7hjxqNk29SIp5PFKTuLy89OW7MK2oPAGRlrx19GE8DKCtvIwzo7y8K3Y89dIBPC8yjzsCYN670q5APEiXcruCotG7MCUWPdLvnTyNOXs8An18PYw2T7zIr049GfAhvDALJL1TC6a69pTQvKVR0Txf89E8mTXBvF7GjjwC23c86wP/vDDN8jpeDcS8GZj+PPVQR7uB0wm9O6yavDAlFr1S4Q49av88vOmsJD2warU5sK4+vA29SztID+A7XrxBvcZbIL0wuqE8GVuWPMbTDb11iW28PLkTO4HgAjswiWm6MOdkveloGz1ebms5jeKgvOrjNL1fsnS6ML1NvNL8lrvfqoa86eO0PLt2ID2M8kW8dSUaPeqSMr0C1R+8goIHvTtBprwM1JE83gsuPfaEKz27CIA9pcxquw0OzjuNXTo9JJGYPDDn5LwBNsc8x/2kPHULKL1SX1Q8pTQzPZiDF7yN/748avyQvMhBLr0jWoi8JOKavKVh9rwChB09mEK6vNNqN7xI2/s8PCe0PN+qhryNXbq8dm97OlPhjrrpdRQ8MWL+uwwLojx2K3I8SNv7O7wYJb0MXKS9vFLhPOuy/LuNNk85dv4uvBjTgz2lXso6xoILO2pdOD0BLPo8DO4DPEZNEb0Zv2m99kAiPesd8bzIXsw8o3WQvWtQv7x2Hnm7pCQOO8YxCT3GuZu6yNY5PLxPNbywkSA9sCYsvRkKlDwOUte8GXvgvF9h8rzrv3W8DYY7u7DiIr0k4ho9MEI0Pfb8mLzTvuU8vL1VvDCTNjwwrai89uXSvPYzKT2Bkiw803cwvTBSWb3I1rk8AfwKvUh3KL3H0428ahkvPBh1iDwxHvU7r2eJvXaTujzfeU68McB5POth+jwC/Aq63qqGu5nKTL3fG1O8xsaUuIHGkL0YFw096TQ3PYwJjLzeMhm6rxYHvaROpTxfN1u9MPTdPJitLjwCng896j4EPYxAHD0vx5o8R6sMvQJ60Ds8goM86qJXuwKHybxSMhE9dmzPO6WFNTxGJiY8yADROzt1ij1eA3e86sYWPY7oeLwMnYG8dUyFu/V3Mr2w/8C9r7s3vTBsy7zGdZK80k0Zvbvn7Lx2lua6jUNIu7y9VbyYTIc8R1PpO1OwVjyYTIe8Uj8KvZkOVjxGCQi801BFu4LTiTxfGr08pHWQPHWtrLtGJiY8yKJVvSWuNr3paBu903rcvALyvTwBbde8dT8MPLv7hjuMyK45acWAPKPTi7swKMK7AloGva8zJTxrUL+8PPAjPaXGkjzTHGE93kwLPbxfWrxekqo8jnpYvQwOTrw8J7Q8X8k6vN6QlDxf1jM9GE4dvIEAzTz1Q867u5ASvTAoQrwCOfO8AkCUPAIc1bwCQ0A8GVFJO2pqsbwjnhE96v2mPKWvzDzH0407xoKLvbzN+jxe2V+7JTMdPRiCAb0kdya9GWs7vRm/aTywkSC90/X1PCXYTby71Bu8vDVDvaWIYTyNoUM9jVBBvI562LxTQjY6AqRnPTB5xLv2XcA6Xic2PRlRSTukuRm9SAJnvbxfWj1fiN28DJ0BPY5tX7zTsey80jOnPLCuPrwBUDm9r7iLvDv9nDzTCRA8gawePRm8PbtIYGK806RzOy8/CLsxHnW83k+3PAFT5byw2FU8dscevEhdNj1qWgy9AVNlPPYJErp2wP07pdljvI2k77v175+8MFLZPDCQCryB4AK9AqRnPIxqs7w8hS88O3UKvUj1bTzqolc9ds12vNMWCb0w9N28GQPzPLDVqbtIetS8DHnCPAzuA73TYGo7xqwivbzKzrxpFgM8dV/WPJiDFzy8UmG8DdSRuy845zsCpGe8uwgAPdL8ljywJiy8mPsEveoXGbsZHeW8sDbRu1Lxs7y7Mhe6rzOlPOqSMj0Y2Vu8u7BcPTAbyTyMxQK8GP2auxisGD3S/BY9vJbqvF/wpbuZkzw8vAHfPAx5Qj1fF5G8RloKOyWutrve/rS8r7iLvIIXk7tfiF08Att3vOtE3LqvZ4m8a1C/PAGUwrzeg5s7r8WEvOp7bLwZyTa8rwkOOrzxubwklMQ76791PHXXwzt2Ut07gZIsPLCRILz2rsK8r7iLvHZpozsCsWA8DMpEvGl3KjzGFxe9jstau7zKTrvqPgQ9XuMsvBhojzwNg488L6Cvu9PofDyCQSo9Oyc0vDB5xLsN1z29R+8VObz0Zbw8/Ry9pb9xvaVu77nSQCC9jCYqu4yrELzT6Py86e0BvF9U+Tvq/aY8xrmbvAEzG7yvI4C89U2bPKVubz1fsnS8DWkdvQwYGzvTAm+6Al0yvDBCNLzr89m73u6PPLDY1Ty8b/+8vIOZvFPKSD321a28u60wPKUKnDxe04e8xtMNPbB3Lry8vVU8jKFDPMcKnrw7uZO9dontPC+gL7xTP4o8362yPEjIqjyYP447vO6NvAKeD71IseQ8xuCGvGspVDteCpi6JBmrvKVeSr2jgok8GfPNu6SSLjx18bW8SEPEvKRR0TqwUMO76TQ3N6QqZrzG0w09AZ6Pu5gbT7wvgxG9DcrEvHadhzzrXs68jDMjvJiGQ7w7MYG7pawgvSVAljzq7QE9X+CAvFNMAzyO6Hi8jEAcPer9pryO6Pi7paygu0ix5LylvMW7U9SVPKROpbxTX1Q6Ja42PI1nB7y8dqC7X4jdvKVeSryBxpC8MW93PMfTjTykKmY8gkTWuhgkBj2vxYS8Jf84vALlRLvp/aa962H6PJnHILxS7oc7GSpeO7wr9jwvGB29DLDSPF/mWDv2uI+8dpbmO7wr9jxfr0g8jtt/PKVh9jz2d7I86ypqPDER/LylQay8MLDUPIxQwTprUD889e+fvKQnOrylHW089gkSPDCtKLoY04M5DRibPOsDf73SIwI76rmdPEj/Or0MC6K8GXUIvNPl0LyMyC68ryOAPKVBrDwBNsc8X3tkvHX7grte2V88PBo7vHWGQbwwKMI8AkCUvLwOWDwwQjQ8jLgJvY7oeDwwKEI902q3PGrvl7yMxQI8SCz+PIHggrzrv3W5MNSTOnba77sxzfK8vCjKvNJ63LqYTIe7JDbJOq9AnjsZVPW8mIZDvN8bUzoYEOw6dh75uwx2lrxfrJw8X9nfOWuHT70vXKa8Xsm6PAKk5zyCeLq6AhzVvBmYfjyNQBy8669QPTD+KrtS8bO7DbofPcfghruBW5w8vIOZPOkXGT2OYOY79e8fvZmqgrrqe2y8dYMVvdOeGz0NTyu70sWGvNKrlLvr81m7MStuPI4c3Tx1T7E8AQJjPNI5/7zeTzc96l5OvI4Ca7w7RNK70zl/O+rWO7vTkSK8DQsiu0iuuDoCivW8DUKyPF+SKj2lN188mNdFvMePBLyvq5I8AVoGu7D8FLyOsei8DHYWvSUmpLoxK+67GbLwPLxf2roCd6S8u7DcvI2uPLwkuy88SFPpvEhT6TrGrKK8pGgXvXZv+7yCaJW8AZEWvDzJuLxfYfI7sOVOPUZNET0xzfK83k+3vKTGkrv1dAY6MSvuvGpdODtf5tg8Al0yO9OX+rs7dYq8X5KqOtO7uTwkuAO9ajOhvA3kNjuMCQy9I7iDPGsp1DyBJIw8AgkEvVKdBb3e4Ra8PLw/vPYJkryB/aA5X1uaO3ZF5DuObV899sg0PZjhkryBTqO7JO8TPSQmpLyv75s89qsWPVNCtjrSOX88aqsOPKVBrLsMoC27oz6APep7bDyN/768GSpePEdngzx2o188L5AKPdPofDwkkRg9ML3NPCNaiLxebus89dKBvLsIgDqBdQ48X3vkO6QKHL1fe2Q89jOpvFL7AL0Znx88SP86PUhdtry8vdW7GRDsu1KGP7zedqK8AmorvIxdOryYuqc3pVR9u8asIj0MNTm8pTQzPKSFtbyY1Bk86rmdu/YJErzriOU7mTXBPEgs/ruY+wQ96Z+rO+vz2TsN5LY8u0K8vOlOKb2wdII8DDINPEgc2Tt11Jc7XtazOKRUfTwM1708PFuYvF4nNjykQSw9U3nGvMiSsDxILP68avyQPI5t3zzrHXE8a4fPO9NTcTzegxu96kEwPcbTDT3SdAQ9GZKmOzCtqDwCpGe73tQdvKVeSrzq1js7U0wDPenjtDzTD+g7ASx6uxm8PbuO6Pg79p6dO7D/QLxIrji8GQoUvLzNerxrh088jJ4XvF+/7TwCpOc8mZAQuelBsLxIivm8gg3GO6UdbTwMraY8paV/OyS7L7ywkSC86hB4PALlRDs7rBq96dOPvBiiS70wlmI8AUPAOvbl0rowNTu9L5AKvV7jrDzTD+i89VqUvFIyEbylN9+8XgP3u0ik6zy7TIm8apEcPF7gAL0j/Ay9JMtUOTEr7jsZ/Zq8DRtHvOl1lLxIHFk6ggqavI05+zzS8km8aZEcvXb04TzSXb480gkQvUht27tquAe8O6JNu8Z1krykTiU9jaRvPF+vyDw8ha889cUIuo4PZDsM/qi8R7uxOlLHHDwY5tS8dityPDBcJj0Bl248Ga9EvUaEIT0w9N28AtUfPekKoDyvQB66XpKqvAH8irzf4ZY8ASz6vN9csLzqJJK8Rk2RvPUWizx2k7o6XtlfvI1qsz3Tq5Q865VevBlbljzq5uA8SNv7u7zHorwMP4Y8GBq5PKRbHr2klVq8paV/u2pqMTy8aac5r+IiO0YJiLyY7ou9r0CeO0jyQbwv8bG8RriFO41G9Lxf81G8dvsCvbBNF7skXbS6pXi8PJm6J73TAu88jtv/PKQnOj2ZXKw8mEK6PHWDlTylxpK8pQqcvJnKzLwYaI+8pfApvY3iIDyNXbq6PJ8hu16fI7le4AC8dkVkPY05ezwZAMc8GVR1PNK+Zbpe04c8O7w/u5j7BLxfQag7R1NpvDwAyTw8ggO8pReVvBkAxzx15Dw9u1wuPUj1bTwMhru7R1oKvbxCPDsBy9I8GV7Cu9Okc7tqh0+7R3eou68Mujxfok87pebcPIExhbsNvcs59ofXurDFBDj2kSS8dYltPFL+rLykldo80mcLvKWsIL0Ynx+9vL1VuwFqqzo7MYG8jU0VvNJdvrx2aaM8GScyPOs3Y7uNZwe8DbofPXags7ulYfY5paX/OZmgtTul5ty7O9OFOxknMr31kaS7vJ0LvKWIYTolXTQ8AgmEPPUMvrsMx5i7GQDHvAJahryBeDq8sIfTvOvMbjqlzOq8jKsQPJnKzDxr2NG8dkK4PAJDwDx2OOu6DAsivbtCvDx1XCq8dq2svIKsnjpeMQO9MLqhu95ZhDz11S09MKCvOEgsfrxeA/c7pJIuPa/IsDzrANM7JJTEu9Mc4buw1Sm8DDKNPFPkujo8uRO7PKLNvDBCtLx1X9Y7r0Ceu42EpbwNKEC7UkK2u3bXw7xTaaE8dkK4PNO+ZTzrbnO80vyWuwxcJDwvnQO9627zuxnmVLyZysy8RxmtPCNaiLwCQ0A8X8k6vJmdCb2MZwe9Aop1uhgXDT0l7xO7dm97vOkxizulA/s8pLmZvAKhu7ywdy49DVLXurutMLwxwHk8R2qvO6ROJbxfrBy8PBePO5l2nrwBuIG8SDbLvBgaOTwk1aG7jQ9kPIzILjyj4AS8XheRO7xF6LyMdAC8o3UQPbvXR7wYaA88vPE5Orwefbyk5ly8XnWMvYIXE7wBTQ09O7kTPCNaCL2vXTy8Rww0vJkylbz2Mym89uKmu6Vhdryjgom8AmBeuyUc17yvFge96TGLPEjYzzzTAm88JJREPK8MOr3Tetw8DDKNvLzHojwCfXy69RaLvN+Dm7wvhj08r2cJPDCDkTzTdzA8XjGDu6XGkjy7b3+8dUI4PdMZtTzeuiu8gp8lO14KmLv1dIY8gV7IPLCuvjxSrSq9sGo1vaSSrrx2oLO7peMwPbzxOTwZHeW661FVPOtRVbwN/qi7xrmbPJlZgLz2M6m89qHJPJkOVjwCobu7X3UMPfZ0BryZWYC9gVscvRlUdbzH0w08L9QTO4Hggj3rv/U5SCx+PLwbUb0BTQ296fCtOtJg6rzTuzm8GcaKvFMoRL1pTZM6meESvKPgBD0xYv6806TzPFIbSzzHaJm80mDqPIJ4ujyMTZW7GWFuPLv+srxID+A4sOIiPJiqgryleLw8MSvuPHatrDxqWow8jYSlPJhCOjzrr1C8Al0yvPaenbsl8j+701PxutMP6DukPoA8pKygvCRQOzy7+4a8UvuAOxmV0jt252i8U9fBO+th+jzqolc835AUvQH8ijwlh8u8X4IFvCSrCrzS7508U/4svPa7Ozxq5Uo8SHrUOt9pKT1IseS7sFoQPaS5mTtqNs08GIUtPJhcLLuwUEM8DWzJvMZoGb0CdyQ6GSreO1IoxDyNRvS8divyuhlblrwvOGc8sBaHuLxZgrvSuI086XWUPDAowjuN/BI9dtpvu/ZQRzze4Za7u52Lu9JNGT1edYy70wJvvNOXervS/Ba73kyLOzAowrzrRNy7AbgBvLwbUb0Zosu8mZM8PXajX73TOX+7ryMAvaWyeLwN5La8vE+1O17jLL1HhCG89p6dPBgaOTxTT6+79k2buhlbFj0vOGc86XWUvHY1PzyOHN28u+GUvFNpoTz14qa8PIWvPCO4gzu8XC48xqwivUjL1rwCKU67jNWnu7xfWj2CJ7i6U1wovV5rPzyvXbw8wNDSurZs9jy+aim9dD30PFB5OTzTi1W8miYSvUQvkDzDHDu8Z40hvdIl8zz2wii9AQAOvZsZFT3k+qg9edVEvHPKzbut7hE9L46HO34UMD3Uftg8re4RPci0izxOE5A8Ta2tvH2UUz3MDTi9lmeDPJdnyj09Md27OH8EvO5Rz7yX5208cNcDPVnqWTvLGnw82L3DvGPOWb0FzBm78DdVvaBLA7yas3m9AQCOPK/hW7yZM4876Z+9vIheWT2NgwO73IlPPLKgIz1xcei8ZaebPM5ZILwJC0w9BPNXvczzPb2BU2K9WPdWO4Qfpzz69Ja8D0p+Pev4Ijw6WI28j+msvPg1z7r06R+8iet5PEeIPD3KNPa8OXLOvIsqZT3QsoU9clduvAelorkVyFS9AQ2LPDL0sDwxdI08IQU6POKHAr0okNQ8eUikvBzTBL3alsy61vH+vGaApLwnHa68AQAOPee5NzwheJk7f20VPbuEo7ye8uS8HFMovaX9FD0y5zO9A3M0vWuykjyWAeg5DcoTvJdnSj02psK8adkJvMfBCL1g6Iw9MAGuPInr+TtaXbm8KJDUvHWjVjxnmuW9T/kVPUNJijxOk7M8/jMCvFiEMD1p2Qm99sIoPQW/nLtizhI8kNwvPQey5rxbth49/FrAvCtPnDnItIu8fhT3PE8TVzxY9w88+KguvJfnJj2sFVC8XhxIvLk4OzwQFsO8QQrmPAIAVbxaan28qyJNO3SWEj1RbDy7xs4FvY6DA72A+vy8fYePOj0+Wj1VHgc9PTFdOi4obL3XvUO95lNVuxF8JT2P6ay8JGvjO+bTeDxUOMi8Eu+EOoOfAz1LR4S8cr2JPF+CqrtT0mW8XLaeOuN6TD1EPI28YdtWPXHKhrzvKpG88wPhvAvxCr0ka+O8vQRHvab9W7wPPTo8zlmgvGWanjujMdA8hB9uvTPatjuY5+08Ta0tPJLC/DzZMOo7ZgABvaSk9jzDjxo9Fzt7vWwy/Txn84M7T4Y2PO5RTzyKxLu70D/tPFB5uTvAQzI7JMQBvdkjJj3M8708F6EWuyH4PDx2I3o7TiBUPRTIDTw2pkI8hB9uPAGnbzs9Pto8HqxUPaMk07pUOEi9uLgXPZ2Zf73CqZQ7VLjrPMdBrLzE9cO7w5xePE2tdDwRiem8Xo9uPcmnjjsWLjc9RFbOOhxg7LxiwRU8RwiZO5MbmzzMc5q8sxPKPATmWrwmqoc95zkUvYZ4jL1WBA29KB0uvJ9YAD0WrpO7v11zu8Xoxrydf7483zsavPODPTwImKW7ctfKvLhS/Lwqg9c8Fy63vL/Djr0Dc/u8gyykPHwucT1JbsI7t8WUPd1VFLysCIy96gWgvEjunrvxqvu8p/BePZfnbbwwgQq8pQoSvVS467xHCBm7c71QPWuyEr0WVfW8PyTgPBVIMT3Iwc886hLkOwv+zrxxcWg8oMsmPRNv77z6gbe8/IH+vJJCkj1g6Iy7EJafO4dekju96gU7M1paPUzHbrzqEmS9mE3QO396Er3kYIu6hB/uPF4CB719FDA8Ud+bO3suKry6np08miaSPN389btGon08Vh7OO2D10LuUDh48p9YdPeisOjyrFQk8e6GJPS6bhLtGlTk9cP7BvPoB27xMx266yprYu0/5FT2e5aA8LEIfvbT5iDzyEJc7RSITvQ8jQD09MRa9oEuDPAbMYLsgEje9XEM/vPXp5rw2GaI80guyu773yTz5Dtg7NTMcvTCBCjw7yzO70wv5vJWBRL3ilEY8xs4FPc2A3rxBCma8PyTguoWSzTtNrS08xHUgvbSGcD3e1be79kKFvMoaNb0WLrc78oO9uwNzNDzKJ7K8JUSlPBPiBz1ktN+74SHnPKuVLL15yAA7dJYSvVzDG7wkRCU9Fq6TPENWTj2ZM489y42UvCAS/rvaMGo8xejGO/+mKL1J4SE8hoVQPKG+8LtqTPc8/rMlPWFbsztD1vE8/rMlPBEJxry2XzK8K3ZavNVXGr3Nc+E8/yaFvEwtirx/ehI9ix2hPM5Mo7xa0Bi9RDzUOq7hlLsN5FQ8X3UtvGsyNj3W8X48b3Ehu3lIJL0RfKW9H58QPcDQUrttpVy83VUUvFAGkz0SiWk8uSs+vBH8AT1dnCQ9yDSvPOisurwHJUa9x06pPONtCL36gbc8U9JlvZ0M37yhPs27kxubPOtrAj2jMVC8SW5CPN5Il7wfLPg8xHWgvDKB0Tz/JgW9nuUgvdVXGr0duQo8jnaGvHZ8GL02Jh89171DPQiYpbz69BY9WGo2vWs/s7ppZvG8f3oSOmB1dDy4Uvw8034RvSxCH73b/K48FlX1vEYVFr0gktq8QfAkO1nqEjzsXoW7d28bvdXkOrwHsua7Of/uPPXpZjw4cgc91HFbPOT6KL0gEv673InPusdBrL16uwM9clfuPDPNObzykLq7jRBrvdAyqTzjbYi9LijsPPbCqDtmAAE9kigYPO+3MT0a4AE8Z40hvYOfAz3d/PU8Ao11OuVTDr1Q7Bg9VLjrOgCaqzw65XQ7DzC9u1YRij17oQm9GuCBPG0YvLzilEa8hoVQO+bTMb2NEOu9M02Wu5faKbysCAy8A/PXvIaFULznLBc8PrG5vJfnbby6HkE8SlRIPMg0Lzz755m8KJ1RvPTcojspEDG81PG3u4dekjwh+Lw897WrPHUj+juX2im8cz10vXdvG72WZwO9T/mVvDiMSDxOExC9nvJkOte9wzs5ZYo5JTcou3WjD7ylF9a8ksL8vEUiEzsNvZa8PSQZPei5/jzeYlg9ekhrPakvg7yDnwM937s9vS+Oh7zMALs8lYHEvNkw6jtpZio9kE8PPcR1oDwzzbm7uwQAvQt+cjoT78u8mFpNPD4XnLyLKp48kULZOtqWzLyEH248zWYdPeA7YTwNZPi7z1lnvZdaBjwYlGA8171DPThyB71KVIG9hZJNvei5fjxkQbm8SO6eOwn+B7yw1N68qDwAvcknsjuDnwM9TcfuvIdrj7wT78s7E9WKPRL8yLyOdoa7S0dLPQ3XV7xR35u8kigYvdP+ND1I+xu9x0GsPP7AabykpPa8M825OjiMyLyyIEe9aVktvS4oJT19hw+8vt0IPa7u2DtnAEi8M9p9u1ndlbwMZDG8dvy7PN7IOrzzA+E8dLAMPHwhLT1Ie7+8uh5BuyH4PDzJJzI8PbG5uyppFjtqzNO7bDL9PNIYr7y7kSC8QmOEPDWzv7zFaCM8UezfvCoDezwRCUY9V5EtPGPOWb2EEiq9fRT3OzYmn7u8d6a8HiwxPUvHJ71LOoe8C/7OvFYry7z/pqg7sUe+PNhKZDxDSQq8HqyNusOcFzwkXh+8tmz2PGPB3DvJp446+Q4RvaDY6rzAtpG8+Y60vDeMAb2COaE7asxTOzrYMD1fgqq88wMaPQgYgjyJ6/m7ACcFOUYi2jx+FDA9AQAOvV6PJ7xsslk8Eu8EPcMPPj2CuUS8UziBu+3eqDoU1dG8D0r+Owv+zjv3NQg8Wt0VvE6TM7u+d+285GCLPI/prLz/s6U8U0VFvE8GWryQ6Sy8d3zfu6hWQbwkXp+7++cZPaZ9ODx7roY7TSANOzRAmbx0lpK8mE3Qu3Sj1rqWdEc84oeCO0ciWrvRmAu9CYuou0rUJLznLBc9TSANu2hmqjwzzbk8KgP7u8bOBT0y9Hc9lXQAvPVpQzxLR0u99zUIPNAyqbw6WA29z1lnvY52hrwrTxy9re4RvKdwO7xcqaG8Eu+EuzCOTrylChI9tIbwu71qKbuH+C+5Jx31PFM4gT32NYi8oEvKvAv+zju/3Qg8tfnPvOisOrwduQq8jZAAPEnhoTt51cS8bLJZvANzND19hw+8t9LYPGHb1jyisay8EYkiPXfvvry7kec7adnQO1LSnrxh6FO9kGnQPMonsrxTOIE8QQpmPBptojy4RTg8XwLOvFypIb1dDwQ9wFAvuz8k4DuDOWi80hivvCzPP723XzI9ccoGu5WBRDy0+Qi9C/GKvLG65LnRJay8qcnnuQclRrtjtBg9p+Oau/ZPybyRwrW8WIT3u3uuBj3sXoW8zHMaPCp2k7wqg1e8v1AvvbXsizsSb6g8SlQBO1ypoTzk7Su8rmE4PZhnyrwM1xC76B8auwxksbzJp9W7Bj/API6DA7zJNHY8uwQAPMT1wztFL9c7PTEWvWRBuby5OLu8SlQBO7SGcDskxIE8M9p9uz3L+jyP9qm89k9JPIhRFbw2Jp+9rW41PPVpQ7zeyLq8gjmhvCF4mTwL5A29zlmgO8XoRrsqdhO9MlqTPMqn1Txa0Jg8/NocPPMDmjwl0cU8LihsPLx3przBQ3m8ABrPPDNaWrwkUek7AoAxvBp65rzHwYg8WIQwvJBPj7tmjaG8uh7BPG6LYr3qEuQ5xduCPBgUPb2Aetm80/60u4DtOL2/XSy8oEtKPP3a4zvd4vs8clcnvLC6HbtDya06RqJ9vPKQOry4Unw8FFWuvJK1uDwRCca7jRDrvLuR5zxdKUU97dGrPA7KWrxnAMi7Dkr+PDGBirx7Lio8HGBsPL73ybxw1wO9RDzUvG4LvzuQXAy8FVX1u191LTxnAMi8Xo/uvH56ErySKBi82gmsOVw2wruTKN88SzoHute9Q70mxMi8X4KqPOVgCz0h+Lw7HcbOvCtc4DoZB8C8FFUuPUFwgbuLN5u8joODPJ9lRLyLt748qcmgO8o09jy2bPY83HyLvH9tFTsnHfW8Wt3cvHfvvjxo80q8ersDvMR1oLyAU5u8OH8EPcoaNTwVO7Q8u4QjPOdGWLyt7hE98wMavB3Gzrssz7+5K9y8PPA31bynYz68V5GtPI/2cDs/Cp+7UOyYPJlAUz2GhdA8gsZBPF2cpDkfnxA82D0gPJ/YI7z5Dli8zHOavHJXbjyMEKS7JbcEPXnVxDwHMsO7LMLCvIrEu7xngGs8uauavIyQgLrrawK95VMOvdTxN71/bZU6YejTu63ukbxktF88BNkWPbBHPj0HpaK87yoRvUpUyDvKGrW7hJIGvLqenbsRfKU8UWw8PCxCH7zbFnC8bLJZu7OTJj2siK+8xttJvOMH7Tuwuh297dGrPM5Z5zw7yzM8XQ8Evfr0lrwICwW85dOxvJQb4rxtMv05UtIeO1vQGLyJUVw9Wl05PZDpLLx5VaE7j/bwPIsdobwCANU7yacOPR6sjTyQXAw9WARUPJFCkrxUuGs8BzJDPZ/YI7x4Yp68Jp0Ku6yV8zyI6/m4miYSPXli5TtHiLw8kjUVPWnZ0LzGaGo7PbG5u5HCtTtAlz88dRa2PNML+bwF2V08l1qGPPbCqLwFvxw81PE3PdIl87zdbw681VcavEF9RbzgIaC5rAgMvdKYUrwygdE65AdtOnb8Oz1sMn28/trjPPoB27x8lIw8EJafOyaqB7sPPbo7sjrBPHFXpzxpWa08xs6FvMMcOzyd/5o8UOwYvZ7yZL00Td08e66Gu9t80jp3fN87QeOnuh8seDyOgwM9Bb+cvG6L4juA4Ds90aWIvDpYDT0mnQq9hBKqO2lmcTyHa1Y8uFL8O0cVXTznLBe9qiIGPUJWBz0BAI48krW4u9mWhTy+d20624nPOy21RbyYWs07UzgBPdP+NDygy6a62RYpu/KDvbyncDu8OuWtPKXwl7wcRqu8A3O0O7T5iLyipC88qy9KvBp65jxHCJk8JsRIPHDXA71TRcW78R0UPDNNFjxLR4Q8MuczvDJaE7zEAkG8JsTIPO/Edbj/JgW9/IH+vEJwSL0qaRY8DcqTu4/2cLtEPA29nJn/vGHo0zzTfhG9wyl/vKDYarwM15C8SPubuyvcvDxYd7O7j2kJPLbs0rzYvcO83kgXvD+kvDzdVRS8/FpAvMk0drzseEa6dD30vGYNxTwKi6i8pRfWvDRN3Txfda08JMQBvaUX1rurFQk74Ejeu3MwsLwvDis9HqyNPDWzvzxzMLA8KmndO6yILzxUOEi8VhFROy4opbogktq8H59XOxgUPT1rshI7xHUgvT8KHz1izlm8IBK3PBr6wjx1iRU7r9SXOjvLs7yQ9nA8TSANvIWFCb3jB+27zYDevMBDeTtT0uU697UrvCgDtD2jF487ix2hvHhiHj1a0Bg94C4dPF0PBL0erI08/7OlPBU7NL1I7h683sg6PA49ujz5G1W8LaiBPOXTsbsqXJm9ERbDu46Qxzqlivy7nnLBu95iWLzZMGq7uwQAvV91rbttpdy7hnjTOzP097xCVoc8e6EJPexrST2yIIA8Cf6HPOzrpTxbw+K8oD6GvENJCrxrspK8Lw4rvfvnGbzhIec7hB9uvLGtoLngLh28ix0hPS6oSDz09pw7MXQNPAAaTzq30tg8Uezfu0tHhLxYBNS7rAiMvNILsjz16WY8IJLau8Icuzx9BzM9EYnpPBRVLjzGW6a70LKFvACn77to8wM9IBK3u1HsX7yhvqm7tt8Ou5D28DuipC88Yk62PJLCfLoHsma7vvdJvAn+B72bmbi7UOyYPGD1ULx44sE8jRAkPAAaiLy4uBe99lxGPDGBCr1ySqq8ZaebvErh6LuAYJg8TiBUPNdKZLuhMYm8hB+nPNGYC7v+zZ88e64GPN7i+zr69Ja7e66GugCaK70XoV287OslvMfBiLvjbYg81PE3PJnAL7uDuUS5Lw6rvJHPsryslXO8Db0WvUluwro2GaK8tPmIPNAyqTzalsy8v10sPPXpZjw9S1c7K9w8vfkOkTz2T4K75e2rvMIcO7rWSh29jCplvC4opTwp9jY9Ys7ZOnM99LvZMOo6lmcDPS1CZjwhhV07RLywO4K5RLyX5+07t2z2O3u7yjpAcIG8JGvjvDAOcrwokI27B7Lmu0JWh7zJNHY8M00WvKG+qbxHiDw7/6aoO+GhwzvRJay8RC8QPKBLgzsltwS9U9JlvPZPArxpWa28JrfLPOv46byAYJg6TC0KvB+SE70XO/u82EpkvOZg0jxBY4S62xZwvGSnGzw4fwQ9E+/LvMoatbzeyLo8ZwDIOsuN2ztXHs48T/mVO77dCLtWHs43swaGu4wdIbzLjdu8jJAAvQ1keDw58qq73W/VO3Sw0zwgEje8sxMDvJBc07yPXAw5MA5yPY0DJzpgaDA8m6a1uy4o7LuOkMc6faFQvdhK5LzdVRQ99jWIuiiDEL2XWga8NwwlvGsytru5Uny7Ud+bvDw+k7yUDh692TBqOgn+B7zKGrW82jDqPDJakzxb0Bg8S0dLPFh3M71OExA9A3N7vIKsAD1cNkI7JN7CuxNiK71oZqo7C37yO3u7SjyfWIC6vt1POhH8AbvyHdu8nIw7PXq7gzw9S9e7l1qGPBptojqKN5s7sGH/PHsuqjyRwjW9kNwvvYFGHrxI++K7Q8ktPbk4uzw2s785xILkPOKHgrwcxge8NxlpPOv4aTtlmh68az+zPGs/MzzgrsC8O0sQPTJaE7yR3Ha9OWWKvBehljp0PXQ8OfIqvOqFQz1TOIE7D0p+PAvxCr2/Xay8E2IrO0j7G72l/ZS6Cf6HvPY1CL22XzK7SO4eu9AyqTxGov28Y1v6PHnVRLsXrlq8vHemPKXwF7saeuY7aGaqumwyfbxeqWi7tt/VPOqFQ7xaXTk8S8cnPTtYVDyAU5s8dZYSPKyVczzxnTe8LiilvOZT1TsL8dG7Y0G5O97Vtzs7S5A8O8uzvKjj4TtzvdC7KmkWu0s6BzxMx268lgFoO2YAgTzGW6Y84CEgvXyh0DtsMn28ZCc/vAEAjryhPs08XTZCvENWhzqOdoY87jcOvObTMT0Fvxy8gO04PYb4rzq/UK88xmhquplAjDyrr208zPM9vDWzP70XO3s7LpsEPDrl9LsPvV2863hGvMMcO7yIUZU7vPcCPN5Il7yJ63k8VCuEPOcslzurIs08RxXdO2DoDLyyIMc6jJCAO4rR/zxpZnG85O0rvDcMJbwN15C7TMduu6KxrLzIwc87H5+QvFYRCr0qaRa9E+IHPbG6ZL0HMsM7r9SXvGHbD7wz9Pe8cP7BPOGhQ70AGoi8gUaeOyY37zvxEBc6pmM+u+VtzzwlRKU8xs4FvQAaiDyJ6/m8C34rvPuB/rtWEYq8r1S7PDCBCjvN5sA8I2tjvSgddbzCqRS8SHu/vPKDPT1spZU6cNeDvIwQpDx0lpI8nNnYO52zkTxo5Yi8yr23u5VcCzvuUL68yr03vVOTMjzJnZ68702nvCNC9zwcpRC9exP6vHQJNz1CVZk9eNbeu7oSwrsAiSk9ozBfvAndGD3vA3s5LrNoPCvjqbw9YfU8dLxzvVDjDD2uNPS86Ra6PN6lyD2p17+6XwGNvB3o2bwDyVs8MB0uPZC1Kjw/Oy67EsGUvDdUG732hJS7zUcWvdVR2bs+G5W9jbtYvG5CPbz0qtu6MqojvGoCiz0pxie8772aPELovDy8fIe8iluNPN8SpbzaSJQ81VFZveujL70opo69kfjzuydc4jwGMIq86hMjPYrrmbtEmOK8apWuvJrc7zw8Hiy8GK5VPHutgD3IDZK8SEJavN81VT2mTWE9ez0NvZAiB7sKbSW9ul+FPLdCgzx/eqg8pycaO9pIlLyCJ7c7TgzrvCc5srzXu568Qpv5u/7YA71PCdS8S+9oPTq0Zjvz14W8DRo0PWTuTbxvrAK9hWfpvPnkXz0mGRm9S19cvQdQozx7PY08MP0UPMTTjT3oGdG8FW4jvMVgA70X/i89dQYgPYnLALzff4G8pk3hvDM6sLxYXcO9lILSPP7YA7xlW6o85mmrvJOFaT1kO5G7XAc7PRex7LykCpg8/67wPCECxbzk/+U8vHyHO6BgILtNfF68xBbXPBRxOrzx2hy7icsAPEA4Fz0X+5i8hSGJvL1P3bspxqe8LgCsPJXPlbwzXeA71eT8uuVJEj0NqkC7floPvR7CEryXn9S817uevCapJT31Oug8kPjzOY7bcb1sjwC9fuobvMTzpjzVLqm7t/W/PAcG9zzJLau7EXp/O8ktKz2eQ568Xbr3u+Evp7xxyYS8YtHLO7f1vzxBNYC8COAvPWQRfrqgg9C84iwQvU5Wl7xK8n+8/67wvBSU6jxLzLg8DxcdvaQKmDwfUh880Kp4vZ9Ah7uM6II8ZBH+uyEl9Ty6xf48AKxZvfgRijxWYFo7uIVMvTokWj0HMAo9PYuIPEBbx7xo5Qg6DxQGPRsVBLzmaau7CtoBvWxFVD0kr9M8Gas+PIiBVD3R8Y08mbxWPbALFj3lj/K6gAq1PB4Iczwr46k8exN6PSnGJ7x59ve88W1APVKTMr2bSUw8OCfxPL0sLbvai108wExGO16UsDwD6XS82/i5PXlma7wCFh89FHG6vJGyk7w1x6U8q4flO3aWrDyfY7e8N1QbPftx1bqZT3o9+cEvvcktq72lnbu8pAqYOmqVLjxJr7Y833+Buxex7LyfQIc81DHAvOvG3zsHc1M7uzLbvIF3Eb2rh+U8iM4XvfaElL08Hqy8wvlUPNhuWz1oK+m7UJlgPahHMzxxyYS9FU4KvHHstLpgjgK9/4tAPVlarLwbOLS8CQDJvJ9AB70ZPuI6v9zSPG+sAr2OKDW8hkGiPEa15DwCzPI8W8eIPEupiLrEFtc822UWPfDds7yDt8O8nkMevPihlj1fkZm8qCQDvMbwj7q0SDE87uNhPdRUcDsRxCu9ttUmPDCwUbxb5yE8R/8QPWuSl7w3B9g8E8EUvJDYWrvaaK08WDqTPAjAljzCZrE8fg3MO0LFjDqes5G7UZZJPcVgAz1Q5qM6VWNxPUJ4Sbqa3G89TcmhuqGj6bzCRhi8jtvxvHJZET1vPA895G9Zvdm4Bz2e06o7EDQfvV6UsDy9nCC9cp9xO4XUxbyCl6q8jgWFvMajTL32N9E84DK+O9EUvjxvgm885mmrvAcGd7ylnTu8K+OpvJXPFb0GMAo8Cd0YPeeJRL2v7pO898fdO4VEOTyMeA89usX+vJ22qDz5wS+8dia5vPanxLyaTGM8WnpFPE4M6ztLPCy9m2z8PI8lHj2CBAe917sePecc6Lz1Oui7dLzzvAragbtl6zY9i3smPQqQVT0lz2w96oOWvGwiJLwUTgo91BGnO126d7xk7k08Y860OvikLbymur08O/4SPUfVfTzsw0g9iuuZOnutAL3VLim8Z+ifOlSQG71aDWk9IE+IO2Fk77v4EQo9fe0yPMWm47q3iOO8g7dDPPgRijuIgVQ8iM4XvMgNkjxquN48XQSkuyNCd72L6IK9Lbb/PCimDr30Gk+8WO1PuyQcsD1K8n88O0TzOzv+Ej15Zus81cFMPDU0Ar212D29z/e7PLlfBb0I4K88AhafvYrrGb2ymAu8xBbXu0JVGT3phq28j7jBPH59v7vToTM9qUScvMsqFD0VkVO8oaPpvGFBP71YgHM7cey0vAdzU72R+PM8SzwsPWqVLrxK8v88ilsNvcrgZ7yeif68iuuZvOzm+Dxdunc7q0GFvVZgWr0PWmY8edPHvN811bwS5ES8gwSHPKBjt7qvDq08jttxvdhu27s35z682Nu3OjbnvjwoNps7lIJSPAndGL09GxW8kWhnu5Xvrr34NDo9GK5VPYzoArxL72g8mrk/vRA0Hzwf5UK9wEmvPOKcgzyeZs48K3bNPB5VNj3LuqA8IHK4vKv0wTz+a6c8RgKou1MjP73WTkI9ntMqu/JqKbyBKs48+DS6uwMTiD3n1oe8Zes2Pbsy27x9yoI8Fx7JuxqoJ71IH6q9wkMBvccz2bvlj/K8IHI4vR/iK7yGQSI8UyM/vFzkirwLjb482UgUvHHstLy39b+8X9RivJfpAD0BiSk8Tum6vMJmMTypRJw8COAvvAragTz8u4E7Dl19vWZ7Q704l2S9yZ2evIc+izycRjW98/q1u6IQRjyVoms706GzO4x4DzvunQG8SzysvCg2G7sRpJK87RAMPf+u8Dzai109Yj4oPZUy+Ls0Wsk85fxOvdXkfLyVMvg8rzFdvLoSQjwfUh89bzyPOyimjjyGZNK7wraLvDpuhrxneCy9WleVPCAldbzo9iA8kCKHvGpI67zGo8w8MYoKPTgn8TwiIt67jL5vvY0rzDzaaC08uzLbPIwLs7x+fT+9dJlDvVp6RTwSwRS9xWCDPPb0h7wpVjS8QTUAvcajzDyGZNI8SYwGvePfzLyZT/q6M8o8PbCeubynJ5q7lRJfPc/3O7pGkrS8bLIwvYO3Qz0kHLC8DfcDPbX77bx/eqi8Lm2IPHe2RbwE6fS8XZfHvBROCj2nB4G547wcPZoGgzzdha87K3ZNuvwBYrzY27e77OZ4PEHIo7y21aY8USZWPGCOAj2cIwW9pyeaPKm0jzsNqkA8apWuvLdCA7zD9j283xKlPCSMo7yR+PO7/9iDPLB7Cb1B61M8MB0uvf3+yjtNfN48HDUdO7fSD71nm1y9t0KDPPDdM7w/Xt68HsKSPI0rTLzpFjq8bNXgvJTyxbw7IUM8xIbKPA5d/bsp6de8KKaOOxNRIbt+6ps7yuDnPHJ8QTyFIYm8qWfMvBf7mLxlftq7kkIgvOJycLz5wS+7DfeDOheOPD2Vz5W8qEczPUFYMDxqJbs7OpG2OslQ2zyz21Q9bR8NvaMNL7wqw5A8QwjWPEciQT20JQE85WxCunQJtzhUQ1i8MxeAOh9Sn7v1Oug773DXuzSnjLq+vLm8sAsWPZlPerxJjIY8EDSfvDbnPrtirhs8ru4TO6m0j7pk7s27sHuJPDAdrrvc9aI8GIslPeVsQje30g+90zTXuvp07DuBd5E8N+c+PI2YqDujfSK9LHM2u/Nnkry67xE9gpcquzpuBj3zHeY8OXEdvJh5jTxUQ1g9j5WRvOf5N7zE8ya9YvT7u3TmBruSQiC90zRXvdhLq7y1++28RXIbvOPfzLwz7ey78/o1O4+VkbsXsew8iRFhu2zV4DtCm3m866OvPDCNIT3FYIO81isSvXYDCTzR8Y08xxCpvA2HELzHM9m77BAMPM6KXzxvrIK8TMmhvNj+Zz2tgbe8OeGQPGQRfjyLeya8UnACPaN9orzHEKk8Wuq4PCBPiLzs5ni93BjTPObZnrtoK+k8xGMaO0kckzxvrxk8VWPxvPaEFL3vvRo9zEqtOmu1x7wTwRS8ttWmvANZ6LwZzu48qLcmvPMdZjzVUdm85ozbuwSjlDyp+m+8ShwTO05Wl7tEuHs8SvL/OcYTQLyCBAe9Wg3pu7JueDyd1kG80GSYuySMI7xTI7+74nLwvMq9NzsLag49pC3IvEgfqjvlbEK84r8zPfu+mLy5Ypy7OiRaO1ApbbwBGTa747ycPG/PMrzC1qS7iM6XPNGEMbvVnpw6AqlCvOrziboNhxC8txjwOyCV6LtXzTY8Yj6ou+Rv2TzDGe680xGnvIFNfrs9PsW9Rm+EPFp6xbxvrxm8j5WRvHUp0DwDpqu8AvYFPC9tCLx508e86Ra6O2eb3Dzepci633+BPIdhOz0KbSU98ADkPEf/EL1s1WC8Z1gTPYjxx7tVY/E7EefbvGUO57zWK5I7UbbiOkPlpTsmiQw83TjsPGd4LL1qBaI62G7bPKcHAb0ChhK9VACPu9rYIL0KIGK81k7CPHA8DzziT8A8grrauKr32LtTRu+7AjnPvCyW5rpcdy48S8w4vIDnhDy1i3o847wcve9NpzxneCw96PYgPdVRWbwW/i88ypoHPZLSrLwtk087lTJ4vOf5N7wSMQi9vJ+3vO5QvruQRbe8UFOAvPP6NTw8Hqy83RW8u7hiHLuoJIO7GfiBPLbVJrzKmgc90zRXPNCqeL1AOJe8wtYkPCEl9TwTdNG8kmXQvB4IcztLPCy8D1pmPbp/nrzFpuO4wEmvPExcRbyO2/E8sk7fPC22/zzB2bs81A4QvZcv4buYv228agILvfX0Bz23ZTM6uGUzvA8UBr3OasY5GIulPNabBTymKrG6gQeeO8twdLx7rYA9zI12vFK2YryVfzu8y7ogPOxWbLxEBb+8lc+VPGOrhLtB69O80IdIPLp/Hj2DlJM8fe2yuylWtLzWK5I8PYuIO8VgAzzqyfY7pweBvGyPgDwMQHu80oEaPXPpnTyF1MW8AoaSvErPT7wbqCc8fcoCvSjJvjsc6/C83ajfvJVcC72vDq27WseIu0w5lbwTwZQ7UQMmPchT8jxdl0c8pHoLvWQ7Ebx32XU7WwrSvFhdQzxfcYA8g5STPO8tDrzffwG8zCoUvDNd4DzsoBi9ekAkvR01HbzSgRq9vAyUPAdz0zzLuiA8uYI1vVqd9bwgJXW8IE+IvGPx5Lzb+Dk6xxApu0Hr07vuc+48jZgoPftOpbz0hys8eiALPWq43rzQ9CS7ly/hPJ/Qkzz4EQo9YLGyPBb+LzydiX45pro9PaMNL7wZGzK8I2wKPPu+mDxODOs8RpI0PVwHOzzO+tI8lILSPNXBzLwMQPs8TDmVvEnS5ruNu1g8U0ZvO3eTlbxu0sk6gOcEvPPXBb0X+xi7IQJFPY+VkbwD6fS7TlYXvHYmubxE4o68XHeuvFMAj7zjvJy6XOSKPJ72Wj1fkZm8cO/LPK8OLb30Gs87rjR0PLVFGrx0vPM7XpSwPLpfBbz5wa88ZQ7nO1VjcbtnC1A8vSytvOzDSL12Awk9DRq0OvnBLzprkpc7vpmJuivjKTvHfQU9UyM/vGwipDwvIEU908RjvFeqBj2wewm9bEVUO6a6vTzqpsY708TjOzXHpTxo5Qi9M8o8Pa3xKj2EtKw8OyHDPC8gRTz8u4E7DjrNu1FzGbwUcTo8hSEJPVsK0jy3QgM8E1S4OwgD4LohktE6pAoYO3mwl7zcGNO7Fx7Ju1Em1ryFIYk80TfuuzM6MD07IUM8s0vIPETiDr2FsRW9LnAfuplPejzz14U8/JHuu5cMMbzBaci7drncPPY30TqnJ5q83fILvSrDEL3Y2zc7+cGvu1rHiDuL6AK9f3qovJUyeDsCzPK8V/Dmu29fP7vQZJi854lEvD3R6DzDQ4G8un+eO1CZ4LwE6fS8lF+iOlFzmTzwvRq8OpE2vLB7Cb2ptI+7HFhNvLwMFD2I8ce8wUaYvFB2sDw7RPM8Xbr3vA5d/bto5Yg8/LuBPLeIY7wp6dc8A+l0PHsT+jy0JQE9PI4fPEfVfTzkuQW889eFPAdzU7x6Y9S6KVa0O2KuGz0NPeQ5VENYvfFtwDygYKC8s0vIPOwQDDzvnYE6SqyfvIrusLyfQIc7UrbivAKpwrxIQto4HlW2vNj+Zzy4hcw7oRNdvPjExj28DJQ7Ss/Pu7wMFD0bODQ9KFlLvB01Hbx78+C5V822PBF6/7wZGzK80xEnOrgVWbs/yzq8un8ePCXPbLxZyp+9iRHhO3ogizzHfQW89NcFO5OF6bzaaK27pHoLvQ46zbqNu1i8YLGyOmTLHb0VbqM8Ps7RPGXrNj2XfKQ8vMJnPJVcCz1vPya8JzmyuzgEwbsVbqO8ElQ4vcBs3zuLe6Y6RpK0OidcYjy30o+8qdc/PSIiXjzvA3s8lTJ4PBex7Du4FVk80WGBOyc5srxK8v86m2x8vIK62jyf80O81k5CvHN5qjyR1UM9j5URPTh0NDxkyx29kCIHvYkRYTx+6hs9xqNMvMq9tztYgPO7S19cO1eAczwofHs60sf6PCL/rTtLqQi7oV2JPJ722ryZmSa8aiW7PNUuqbxwPI886Tlqu56J/rzffwG9EedbvB/iq7sCOU+8XwENvL/c0rsZq748sFF2PND0JLzdFTy7FiHgPCjs7js6ASo8BebdOxqoJ7u5pWW8EDQfO10EJL0sc7Y7cX9YvLrvETx+fT88qvdYPKrUqDtAW8e7IJXovFK2YryaBgO9A8nbvEVyG7wrmf285G9ZPOIskDy5peW8RLh7PFMADz2Nu1g8y01EvUA4lzxEmGK7wfzrvESYYjt6QCS97MNIvIpbjTwrmf08wrYLPDlRBLwLsG47q4flPOmp3TpLPCy7aXUVvPy7Abzdha88WO1PPJksSrw3d8u8/2gQvQIWn7yrh+U6y703uCHflLwXsey6K1MdvC3gkrwMiic8JjxJPCnGpzsSMYi8+eTfuygWAjwKIOK8S1/cu25CPbzC+dS754nEPNYrkrzYbtu79Re4u0ypiLxYOhO9ndbBOkmMBj0BiSk8QDiXvIoOyjzY/uc80mGBvK6h0LznicQ8sm54uzfnPrxlW6o8Pa64OwogYrx9Xaa84J+aO5C1qrwFVtG8wvnUvIwuYzyGZNI7kfjzO0eyTTyXL+E60qRKu5ops7xWrZ07fn0/PQfjxrtWPao8sJ65u0ypiLyCulo7NBeAvezDSLyI8cc8ig5KvD/LurwHc1O8pMBrvDBA3rxduvc6SvL/O5d8pLz0Pf+8Qug8O2Oum7xP5qO85/m3PNHxjTy1tY08mOkAOwTGRL0IwBY9Rm8EPGI+qDw3B1g74iwQvNv4ubyRaOc7ZwvQOyt2TTx2Awk8CJPsuz87rjxY7U+8ElQ4PXOcWjwXsWy80TduOyL/Lbt9ygI8eWbrPJ22qDwlrDy9ig5KvekWury8nze8R48dPde7Hjzd8ou7XCrrPO0QjLygg1C7Y6uEOWV+WryJXiS8CSN5PLRIMTyuodC8EDQfPMmdHrzXAX+9cVwovUR1srzJwE48Lbb/O+WMWz04UYS8qvdYOwdz07w7/pK8Wp31OorrGb2wUXa70Kp4vG/PMr3IfYW8EnfoubLe6zzi4uO8vt/pPLQlATx9gNa8lD8JPVoNaTzMSi08ru6TubsPK7z09x66QVgwPPgRCrrsVuw7HzIGPJwjhTz83jE7IZJRPKm0jzwYrtW7pZ27vHPpHTzWTkK85Ny1Oy5wH7zC+VQ8YvT7u1rHCLzTfoO8rw4tvOKcAzsmqaW8MxeAO/77szxqla48AfYFvYZBIjyZLMq8ofAsvAogYrtVY3E8M11gvPy7gTyPlRG8ccmEPK4RxDzUMcC76andPJD48zqGZFI83vILPFsKUrzDQwE8yFPyvJ22KL2f0JM8DED7ulFzmTz+HmS7QVgwuXYmObzAbF887OZ4O1+0ybwH40Y8btLJOwvaAbwXHsk8+VRTO1KTsjt59ne81DHAOsq9Nz3GgJy8EcSru5efVLzVDhC87p2BO5Uy+LxfR+07AfYFOuj2IL2nBwG9yVBbPT0+Rb0UBF65xoAcvabdbTyE19y806EzPNpIFL2tgbe8LyDFPGFBvzw45Ce8Lm2IvDfkpzwmqaU7Vj0qvSrDkDu4ZTO9OXGdvN2o37oay9e8uu+RPBxYTbsLsG48pycavQ095LtkXsE7YCEmvCGSUT37cdW7fn2/vAI5TzxDCNY8mB8jOxXp0DwTmVK9c9wNPJUy+jslKTg83VVYOzT5n7zbRdy6A5ntvHEckDz+ePW82MIOvWH8KT2vP4A9dc9au9wiCTshWb48/bj3u2sfaz2bMnG6n1JpPAOZbbx6fAE9ZowhvQA58zxZzDW81iISPBZZ0D0LNg88tlLFvHSf3bygEue6alybPJzvnLubL587EFnZvNvSCr382Hi6o18TvYHPyLwAGXK9x+Kqu3Y8CLzm1Uq6FXnRu+0lQD0FWWu8QNkMPNSF5zwPBgm6RizUPNxiCzxSDME815KRvQvJYb16nIK9ff/OuzmM6Tv1FbK8MxkhPQ62Cjsw7PW8M4xyvfuFqLoS9oO783W1OahfCj1PrMa8q0+FvG1Mlj2MXzc9Vtw6vWgsnjwfKUG9tuJFOBt5yDvH4qo8gh/HOwUGG7poTB87NimdvDUsb7ys8lO8kA+wvJVPqbzdAgi9MCz4PKES5zzx1bi8Q8xZPciFebw62RW9QnkJvbKizDzpVca85tVKvblCwDz81SY8zAIjO0a8VD3J8qa8OtkVvDx85Lw4OZk9X1ytPMfCKbzm1cq8dswIvSys/LyoQtu9+LUuPPzYeLwy6SM9qa+IvOh1Rz3IZXg8l18lPc1Sobw+WZE8Yr/5POHyAr0QVoc8YwymuUX5hDyEv8O8egwCPZivIzsElps8z4KePG/v5DwDeey77zW8u3Cv4ruMz7a8nA+ePGN/d7xhbKm7HMnGOtXVZT1ov/C7ADYhvXavWbylwt+8STzQvCHpPj012Z48rQ8DO0hcUb10DAu983U1vNVF5bna8os7/1WiPJx/HT1GSYO8X8wsvHkv1TxzvAy99vWwPJDS/7wyzPS7ZHwlPCKpPD3B4rO7O/mWPUfsUTzXcpC8PAzlu3p/07zb1dw6rX8CvSgZMz23osO7fW9OvaNCZDxTXL+8RDmHvWK/+Tt2PIg7mzLxPLsCvjyjzxI8p/LcvK0PAz3fEgQ7UgzBvKES5zyQnzA8z0XuPNLlarxVrL26nT8bOiHJPTtJPFA73sIFvRA5WD1n3/E8EaYFu3hsBT0/+Y08XuwtPTNs8TzZMo66ADnzPCHJvTxzT987DkaLPVWMPLzQshu96OVGPVWsPb1xHBA9CEaUPJKvrLuU3ym7J8m0PAz53jxn3J+8AtadPalfCrxPHEY9bByZvMll+LvPRe48Ngkcu4iPvbrvpTu9BqYXPZAvMTvM5XM9lN8pvUSMV70diUS9+CWuvIV/wTyQL7E727VbvKvfBb0+yZA8PemRvFscNDytf4I85BXNO7ByT72Lfzg9cRwQvUb5hL3qpUS8AfnwPDYJnD1DjFc8pd+OPUEs3TxdX3+9XGwyPPK1NzsQWdm8eb/VPFWsPb2hEmc7PqmPvF2cr7yHr768oRLnPL7yOL2tvwS8Yf97OQH2njx4bIU8ndJtPDhZmrzfooQ8aj/sPHm8A73Uhee8MAx3u3tfUj2Nj7S7Lox7vAH2njxuvJU8P7xdPVIswrwDeWy9HMnGPL+ytrzQ8h08x1IqPTpplrzDgrA8YB99vEZJg7xAvN08FQlSvCn5sTk4yRm8NgkcPJsvHzvTUhi8dh9ZPdMyFzyYsvW6LckrPd+F1buI/zw9xSV/PGD/+7wTuVO7q1LXvAOZ7TxYnLg8XZwvvY+/sTySP6080UIcvYNvRT3ntcm8GglJvMHiM71lzCO8mJJ0PJsycb2Tj6s8oDJovBjZSzwFOWq8y7KkvB+ZQLxDzNm7cf9gO1nMNb2qHwg8OKxqPSpJML2aEnC8Wjw1vHoMAj3VYpQ6V7w5vaVS4DrPZe+8tALHu56PGb2Wfya8eG9XPCn5sTx1X1u9yYInPC/ZJz1q7Ju8fw9LPRKGBL1dLLC8XV//vEJ8WzygMug84+VPPXYfWT1CeYk9E2aDvLqSvjsQOdg8SFzRPHoP1LxMLEs8zOXzO0EMXL2Q0v88ygX1PEmsTzwJmWQ9n28YvG/skrqMz7Y6x1IqvNwiCb3EYi89nbLsu59vGLxkX3Y9UUzDPHUMC7zNUiG9L9mnOdgCkTsw7PU8FQlSugH2njzntck8Atnvu+oVRL0eaUO9odLkPKtPBb0Fxpi8apwdO9PClz1CPFk8QbmLPHO/3jwzOaI8TqxGPBNGgjpdLDC9DKYOPWff8bydX5w80zKXvWsf67w8mRO8oQ+VPMuyJD0N9gy9BAabuw3Wizyl4uA8EoYEvfy49zws6Sy8X8ysvMTSLr07uZS8ks8tvMFyNL1Q/EQ93jIFPZ6vGjwSaVU9XZwvvXkv1btMLEu8DIaNvEM82Txpf2480uKYvTisar2psto8XgwvvQgJ5LzgYoK8nc8bPG/skjxEqYa8Mex1vQXmmTynD4y7ja+1OVIMwTxk7CS8FCaBO0SsWL3ckgi9PxkPPHV8ir03zOs8MJklPeIFUbsw7PU80uVqvT3pkTxQbES9RkkDPbPyyjw+WRE9dJ/dPDkZGD1s/2k83lKGvM0yILwb6cc8EHaIvJsy8bxcTLE8AyYcvLqyvzyfb5i7J1k1vEG5izzxZTm8lhJ5PC75KLwzjHK72aINvKSPkL3csom9jR81vUTJh7sVeVG8npJrvWpf7bzSUpg7MxmhvC8Md7yqHwg8NUzwOy8M9zwSFgW9rb8EPEycyjw12Z68u+I8vOBlVDwDme08+jj8vPU1Mzyqb4Y7CznhvEjM0LwN1gu96qXEvKC/Fjw37Oy8/iWlPC4ZqjtEHFg73LKJPJI/LTw+rOE7FQnSvNSCFbx0DIu8bwwUPVo8NT2Tcnw9l18lPUVsVrsPJgq8mD8kva1/grwGNpg8DilcvNflYTut8tM8yWX4uSP5ujs4yRm8R+xRvEBJDLwANiG9wjIyPEDc3rsAOfM8gh/HvKmviLx3HAc9hz+/PAO2nDzZMo48ytIlvdSCFT3aZV26E0lUPZufnrw/jGC990UvvQXGGDw3eRu8bWwXPIV/wbtSLMK8Vvy7vAb55zrFQq48npJrvESM17x/D0u8zoVwPQA2obyP3zK7AtlvPVb8O7xwr+K8+XUsvaGfFT0//F+8bpyUPPr4ebxMLMu8e1yAPG8MFLypPwm9tXLGvHEf4jzWtWS8lvJ3PatS1zyET8S8IHm/uxA5WLsIRhQ7RfzWu/y497p1DAs8mD+kOxPWAj3MkqO8DKYOO3ScC7ntlb87RDkHvUcJgTpeX/86/GUnPTLJorx2PAi8FZYAvDXZHr2z8ko8U1w/vSlpMTz31S89PekRvC05K72THyy9IHk/OUBpDbx9T828pr+NPCzMfbz2hTG8k/8qvFuMs7yScvw6SOzRPMUl/ztQjMW8DWneu3tcgLtn33E7dNwNPVh8tzzw9Tm8nbLsvKXiYLwDthy86hVEvPWlsrxMnMq5rUJSPK7SUj3hJdK8qv8GPSUpuDzyJbe8lb+ou12cLz2lUmA9CzYPvcOCMLzgYgI9oz8SPdXVZT2t74G8+4WoOxZZUDw4yRm87QU/PNgCEbvM4qE8QZxcPBXp0DxrPBq93lIGPXp8Ab39tSU8g2/FvAA2IbvvNTw8RpxTvANGHbvl9cs5xUIuPN8VVjyKL7o820XcPK5fgbzLJfa8U3zAvG1sFzwHhpY8jm+zuhLGhjyh0mS9Kimvux+5wbzhQgE9Zv9yvAYZ6Tw//N88oz+SvKsyVjtYDDg9LMx9vGqcHTyt8lO93CIJvEQ5B7xfPKy890WvvRbJTztZ7Da9EMnYvDSJoLvG5fy8QEkMvHVcibwQ5gc9G+nHO9+CA7sT1gK8yIX5PB+ZQD1CuQu7H7nBvDHsdTxin3g7BqYXvfpVq7ur3wU7GgnJPAbZ5jxHCQG9QExevPTlND1iv3m7+LWuPFUcvTsCRp28MQklPUXcVbw+PGI8r1JOPJW/qLytf4K9ryJRPDmJl7vAkrU84ZVRPG6fZjzstcC4egwCvKk/Cb1b/LI8rJ+DPAJmnryuP4A5yyIkvWrMGr3mRco8pU8OO3YfWTwQVge9STxQvGXMIzvclVq8EonWu8iiKLszGSE8AOaiu0mszzoN1ou8l9L2vAA2oTvUghW8eE/WO6wvBDs5jGm7A5ntvEd8Ujs62ZU8zVKhu6ESZzuvAlC8v9I3PZVPqbyiYmU8RrmCu7Byz7orma44E9YCPaC/Frw96ZG6dA9dPMfiKjvoBUi8tLLIvEGZirziddC8VMy+PLKiTDt/D0u6KWmxuZZ/JjwRGVe8WVw2O4w/trxarLS9OkxnPNzlWLxlP/W77zU8vHm/1TwPlom80EXuOws54byu0lK8VDw+PJ1fnDxfXK07w4KwPNVl5jxMLMs8P/zfO9aVY7za9d28aZwdPaqPB7zfogQ8nA+evGsf67y/Qje8bpyUvMiFeTwCue66cy/ePHwfUL1jX3a8AmaePAtWkLzlZcu8wsKyu5Ny/LxHCQG8bb/nO83CoDs1THA82vILvHasB7xbHLQ6z/IdvfzVJrz7FSk8wCI2vRGmBTxGTNU7a6wZvc9l7zzFIq08NgkcPYKPRrzM4iG8pP+PPPIlN70RpgU8+jWqvM3F8rzm1cq8G3nIvBA5WLw+qY+8ERlXvIovOrybEvC8wXI0uxcZzjstySu7qNJbO0WJhbvUhec8+XUsPM2lcb1jnKa8QukIPF88LD3agoy8u+I8vbnSQDxEjNe7sYJLPQ5mDLwMid+62vILPTOMcryObzM8k/8qPMCStTwoqTM8+JUtvVgMuLv5day8OYkXvRepzjpzv16838IFPNOlaLwuGSo8Wjw1PPo4/DxbjDO6DBaOvD8ZD7x6f1M9u8I7vInfuzss6ay7Z9/xO2f8ILzTMhe83QIIPRV5UTs8mZO8hz8/PIIfRz1EOYc8h6++vHwfULubL588SaxPu/glrjyaUnK8LMx9uwEWoDxDWQi8TjzHPDVMcDs7uRS8omLlvD7JEDtpX205yKIovdeykjvaggy9b+9kvEcM07xe7K28RmkEuxw5xrxjDKY8auwbPbtyPT1hjCq8qGJcvNECGrsJlhK7brwVva6y0bswLPg84GICPASWm7tASYy7auybupOS/Tydzxu9dXwKvRtZxzvOEp+8Zv9yu0GZijz4JS48dc9avSHpPryYPyS7M2zxvNOiFr29Ero706VovBeJzbrG5fw8mt8gPdkV37wPedo8pr8NPawS1bxJeQC8EonWPHXsiTxb/LI8c9wNPHQP3bvOZW884UVTPe81PLv1pbK86cVFu4sPuTwp+TE9BjYYPc6inzyFf8E80uVqPPhY/bvcYgs8Ihm8vKJ/FLymgt082vILPNyyCb0hyb06+jj8u7/SN73oBci7aXwcPXU/WrweaUO8xSX/O3zsAL1KHE+8LckrvHash7zWleM8Jzk0PK5fgT2Ij728hx++PJpScrwUtoG77SXAui5s+rziIoA8CZaSPG1sFzzkNc47bb9nup3SbbuQn7A8M2zxvHc8CL2bEvA8eg9UvCiJMjt5LIM7lb8oPD/8X7qt7wE94ZVRPK8i0TzkFU09RYmFvAO2nDwQdgi9biyVPJ4fmjyr3wU8Y3/3O8aSrDwCZh69ZFwkPdOiFj0IueU81ZXjOkXcVboHhpY6cMwRu2wcmToIRpQ8wjKyPKwvhDxbjLO8cf9gvJ3PG7xgH306LHktO9EFbLx2zIg7EvYDvDOpobweScI82FVhvGl/7jyvz4A6DyYKO4KPRr1ybA69lp8nOwupYDzd4oY7UizCPAOZ7Tuu0tK7QzzZPN7FVzytv4S8H7nBvHhPVr0hGTw8dxyHvFWsvTxbHDS9pALivJ6PGbqsL4S8A7acvEPMWbxFiYW7xNKuu9cFYzzSxem8yyIkPCx5rbzvxTy9cayQuwkmkzxfzKw7ZayivBB2CL1ybI68rJ8DvHBcEj1G+QS9ygV1vFQ8vjwCue48LvmovPulKTw62ZU89aUyOwLZb7yd0u08OKxqO8nypjyVvyg9ZOykPESphjtBLN26dq/ZOzx5EryoQtu8o1+Tu911WT0+qY88CCllvXVcCT0TZoO8ygX1PC9JJzzNxXK878W8uwup4Dt43IQ8E9nUvFFMw7w3eZu778W8vDu5FDwoibI8uiI/vI2vtT1jX3Y7DdYLPKES5zyA78k8RwxTvE18ybxrH+s8lvJ3Og952rw7SZW8no+ZvDd5G7xmjKE7qv8GPThZGryI/7y9qzJWOygZszv2hbG7U3xAvJLPrbxHKQI8ip85vXEf4jo0bHE6N8xru93iBr0/bN+6DkYLPYE/SD3eMgW741XPuw1J3Tx2zAi81WVmu5P/KryX0va7YBwrvVQ8vjstyas7CwYSvIKPxjv+eHW8oL8WPZpPoDtqXBs89oWxPIQvQ7s+ORA89MWzPPU1s7whGTw8fW9OvMOCsDzCMrK7jv+zvLeiwzwsWSw97nW+PMACtTv9uHe7pALivCAJwDp2rIc8YwymOgOZ7bxt3Ja6HylBPG68lTx5v1U6pcJfPXqcgrtqXBs8rj+APP5YdLxAaQ08WHy3PAwWDr1DCQo8hE/Eu6XC37ypIlq8bBwZvNplXTrj5U+8NSxvOzzsY7sVJgE9JNk5PJfvpTt4b1e8MskiPawvhDyrb4Y8RBxYPPUVsjyeUum6Z/wgu6YvDb0H2Wa70zKXvKVS4LqCH0c8C4nfPJiydTtlH3S8DtYLOUJ827xdvLC8MlmjvC2s/Lql3w68MXkkO6jPiTxF/Fa9J1m1PEcpgj1VbDs8qGJcvXCv4jx0LIy8q08FvRZZ0DsvDPe87QW/vDLJIjxErFg9ft9Nu6tvBjwZucq6jm8zPJVPKTsAOfO8bd9ovGkMHbz4WH08ADahPNDSnLuxws28KkkwOttF3Lxx3987g2/Fu86FcDsVloC6ADnzuwXGGLzaEg28DBYOPSx5LTqVMnq8uwI+vHbMCLwVJgG9B2YVvAeGlrwwmaW7lG8quSzM/bwWOU86kq8svAMmnLwLxg+9z/KdOTrZFT0wmSW8GPnMvKIiYzyej5k8ETaGvDCZJbwFWWs8Zv9yPMziobzzBTa5Vtw6PP4lpbvmRco6zhKfu0bZA7x1XAm9jF+3vM9inTzgZVQ4cK9iPDAs+DtYDLi7RmmEvDwMZbzildE7o68RPQR2GrszOaI8A7YcvEJc2rtGaQS7bZ9mvaqPh7zXchA83eXYuspipryxws27dJ9dvFPsv7pGSYM8MQmlvKVvD7xSnEG941VPvHoMAr1W3Lq86qXEPPglrjx7z1E80nKZO6AyaL096ZE7dXwKu6hfCj3hsoC8eSyDvJsycbsSxgY8rBJVuwmWEjyi75M8c09fuy9M+TzXcpC7/3UjPZzy7jtXLLm8pI8QO/hY/bp7fAE8soJLPJDS/zwquS+9omLlvLjywbuc8u47oz8SPRaWgDz8uHe8Iem+PKNC5LxW3Lq6JQk3uzzMYrwubHq83JKIPEZM1TzeMoW81NXlPPz1p7yMPza9mLL1vJbyd7zH4qo7CzaPO2aMIT1wPJG6aX9uO+bVSr3RBey87ZU/PNkSDb27wju8auwbu33/Tr0ANiG8nO+cusRiLz0VJgG9cmyOPDXZnrqmMt+8rBLVPDtJFbsu+ai7o7JjOrZSxbwPtgo8mt+gPMfF+ztpfJw8LOmsPA1JXTyEL0M7JNk5PD+JDjzfogQ7qnJYvN8ShDxm//K7DWleO8TSLrqgT5c8YwymvKXC3zpwzBG83eKGvMsipLxc3LG8CuniO9+FVTwGphc9RvkEvWsf6zoTmdK85yVJusYF/rsQVgc9Atlvu8TSrjvMAiM6scJNO7xSvDxk7CS8CZnkPHiMhjrYUg88x6X6PDmM6bw6LOY77SXAuzu5FL1pf+48qo+HvG9fZDz9ePU6+vj5O76CubzS4pg8EFlZPNmF3rxkfCU8en/TPLlCQDvZEg09j98yvCxZrLoTRgI8N5mcu2ff8TwJJpO8oyJjOnVcibwcOUa85tXKO/zVprzGAiy8RwkBu2l8nLxxHJC8DKYOPXeMBr3Schk8wJI1vXIvXryL77e8Yd96O+/FPL0K5pC7LTmrO2l8HDyrUte7nbJsvNSClTxGSYO7no8Zve0FvzvfggO9XSywu4+/sbt1XIm8P/mNPK9STrxDPFm6mW8hvUfsUbwtqaq8n2+YvBhpTD39RSa8gF/JvAO2HDza8os8rZylu36AijzMXk+9ZRvLObljrLxi5jU83LhAvJ1CtDq9wAg4aIbuvH2O0TwXqSK9M+Uhvcfmaz0qv0w9+AGAuxhYDTwHu808ack8vOz3Kj3L5fI6IhLUO4FyUbxWBCg9ux9lvWE3yzxNL2g8K1OwPJletD1lh+c7BifqvGGI4LwfVps89ypOOFd9hDw/QAy7MwApvRy197w0eQW8gKjfvHmq0bthHES9NqFavP9rqrtL7As8diQnPCISVD2t0rO8wx3zO3IKGT1lh+c7VgSoPKf8+rlisCc9ZyiLvU48KL2hJjS9ereRO+tIQLzzl+O8pMflPKEmNDpGqja98ytHvQc0qrlnKAu8V7OSOUs9IT3P5Pm8wvWdvNvTRz14Fm49ZkOSvTf/LzzTQVa9H1abO894XTy4z8i6/9dGu0gjE7ztVQA7B9bUvOzco7yCmpi8BOSNvIhw37j/obi8w8zdPOgusjy9pQG9XPV1PfxsIzxelhm9x7BdvcRgwTx+c0q9ZYdnvEKQKDvmPHk84wdku0rERD1+ZQO8aRpSu/qV8bxLPaE91J+rPGNfkrwD1827pYMQveQvq7wSZ829vfYWPPMQQLy5Yyw99pbqvHRNdT3JopY8VlW9PJ6gibxnQ5I8G963PHzfZr38bKM8SyKavEmc/Tvzl2O8jc07PaXUpbumTYI83fsOPRQWODyKEYO8M+WhvOfQXDsrHaK8BvHbPD9AjLxL7Is72eGAOxVZhj0Yc5S7WaVZve8sQLwpfP688IoVvPgBgD2QAtE816x5O+5VgL3uBPm8jXymuo18JjxOVy+8Ula2PGka0jzTrfK7kB3YvH09vDz3D0e9O1yMO2cNBL0Pg8281f0APXwV9TwQkI08t4x6PR/dvrtHPpq86Em5vNsJVrxpNVm8RZ32u5g2bT12JKc70ybPvI4rETxuQaC8svmBvSs4qTtmlKe7YykEPYEhPD1N+Vk8uRIXvYEhvDx6I668Yb7uvE1l9jyCf5E85N4VPXIKmTkfcaI8rO26u6B3yTp5xdg6BP+UvJLZgj33YNw88xBAvENaGj2pgpc8GkpUPTkM/jyBBjW8/6G4PP9rKj0bchs9QuE9PRffsLsagOK8vSwlPb2lAb1hvu48FHQNPFuyGb3WGAi8F6miPHfTkTx1kMO5QU3aPYhwXzsEGhw9LxypvFX3Z7wrbrc8oP5svMB8QTzNhha9svkBPZ80+zweLlQ9RJ32vJdse72huhe90NYyO+mMBz1rJ5I8Mxswu+8Rubxelhk8eEx8vC+wDD3MQ8g8in2fvEzRhL0QdQY9PFwMvdX9gL0fVpu8foAKPSL3TD2sj+U8ZyiLPecG6zsxRH69WrKZOy83MLxCF8y88FQHPSdvML1B1P07COMUvD+RobvUujK8yA4zPIosCr1CkCg7biYZvGd5IDyGLQM8+6Kxu6ZNArxqQhk9rWYXPZGxO72d1pe8UWT9u6haUD0tD+k5O1yMuqRbyTwWZtQ8S9EEPXLvkbvj7Fy9Qz+TPPpf47wD18070KAkPbNXZbzXJVY8qCTCu8milrzNhpY8hc8tvD8lhbvZFw+8lg6YPE0v6DvZgyu8GoBiPQ6eVDzrLbk7YRxEPX2pWLtH7YQ9ADYcPAYn6rw5oGG8So62vHu3kTzzK0c7p/z6vEqOtjz+lPg8S+wLvX0HLj1ovHw6JhFbOoFyUb0tRXc7AihjPMwNOr3HHPo8qzECvYpHkTwCDdy7nruQvB0hhrwMrI0803dkPDKi07z0iZw8gKjfPBAyOL34iCO8+KOqvDkM/juNA8o7kXstvcaICDxLPSG8qdOsOxhYDbwI45S8P1uTPOT5HDukx2W91RiIPHYJoDysI0m8qdMsPUs9obwlffe8acm8vC8BojwzlAw8zA06PelxgD0ANpw9OQz+vEZ0qDyOEAo9aVDgPBMWuLy4mbo8oQutPBSPFL3x2yo9uM9IPU/rkjzRGQE9b0EgvLkSl7wgII28aRpSvB5/6bx9qdg8QyQMvREkf7x4Fm49YPR8OhuoKTyR58m8gpoYPPuiMbwnA5Q8ccfKu+tIwDz8h6o8wYmBvNW6Mr177R+9O3eTPNyduby4tMG84DCkPCoQYj1KxEQ8SWbvPKD+7Dyc/2U8R1mhvKjG7LxovPy8ufcPPVlvy7yZDZ88rHRevehJubypgpe7AFGjOrncCD339L+8dBfnvN37DjuRzEI9LQ/pvGZDEj0ZcxQ8nXjCu+CcQL1lNtK849FVvAQaHL3MKEE9tmQlPcBhOruE3XQ9ckAnvXK5A70TMT+82+7OvHqBAz34N447V32EvRtym70PaEa7RsU9vYmYJr34iKM6Fu33u3vtnzzERTq8cE5uvZds+ztlh2e8KAOUu0kV2jw4eIy8Pv29PEMJhb2odVe9uCBeOz9bk73cTCQ8/w1VPVI7rzvZ/Ac9g5qYvYJkCj33vjG9+BwHPbzOzzwCXnE9uCDePOtjRz20tTo8V7OSvGn/yryVX608St/LvMGJAb1Z9m48C2k/vKg/STy/VPq6gmSKvOdkQDz8G468jXwmPKvF87usCEI84DAkPBB1hr0MkYa9ooSJvRepory0mrO8beNKvftE3LwMrI07oFzCvNd2a7ytt6w7W2EEvJw19DxpUOC8SCOTuriZujyhnxA61f2AvJGxuzxOIaE8fSI1vNOt8juw0bq810DdOoLQJr3ntVW8heo0vfUdADxrJxK8nP9lPCl8fjy4fjO8AeUGPY71gjs0lIw8bgsSvd8+67iMVF+8xGDBPEmc/TxkRIs9FHQNPb32FjzcuMA8XVPLvNEZgbxZpVk8hHFYvHWQQzwq2tM7HSGGu/SJHDzUC8i85qiHvEvRhLxDdSG97nAHPMhfSDpDWho9Rqo2vHwV9bs35Kg8dVo1PVmK0jzAzdY7lw4YvZQc3zy5SCW8y+VyPV+xILy13YG9sNE6vclRATxpyTy8y69kPC/mGjuXbHu8QWjhvEIXTDwe+MU88MCjOxK4YrxyuYO8rI9lPWMphLzAzVY845tHPcUPLLyYAN+8dBdnvQJe8TxuQaC83LjAPDDLEzzdxQC9Ok/MO6UKNLxJFVq9Kr/MvJL0CT2RlrS7xCozPVI7r7rJvR29tOvIuheOmzqsWde7pJFXvKnus7srHaK6kALRO00v6DxwhHy8mXk7POjClbv4bZw7IvfMvL32lrtLIhq8oQstPVFk/bxAWxO8wYmBvFn27rwuUrc8gN7tvLyzyDuQbm0990XVvDeuGr0rApu8uH6zu53Wl7yCZAq9Z3mgPLA917xWVb07jG/mu0c+GruRljS8mXk7PLGbLDsWZtS8ExY4u801AbzrSEC8rZwlPXgWbjyKfR+67s7qvGaUJzxSVja8H6ewvICoX7qRljS8wLJPPCraUz1mXhm9KvXaPPE5gLtTz5K8rdKzvF1uUj0Lab8801xdvbrcCDmCZAo9yYePPLnBgT3gFR27JASNO2p4JzyRljS9b9WDuzUN97uSRR88fmUDPDrjrzx1q8q8YTdLPAv9Ir30iZw5bvCKvHWQw7ofjCm71J+rvFHdWbzpEyu8zYaWuzutoTxiy648Pv29PDtBBb0Da7G8nMlXvMccejxeHb08AihjO8t5VjypZ5C9kB1YPNdA3bziPfI8kDhfvFnA4Dwi98w8hKfmvNsk3Tv/obg8C5/NvG2tvDs+aVq9JX33ucwowbtpyTy8XsynvW1P57r4iCO9pMdlvGp4p7zYnrK8gVfKvMKkCLy3Vmw8JX33u1lvyzvB2ha9VaZSuyEgDT3pcQC8pmgJvZHMwjwG8Vu8tRMQvYZIijqNfKY6TlcvPeTelTxIIxO9uLTBu5qhAj2A3u27YRzEOwAAjjv/obi8NobTPA9NP7wHNKo7fY7RO35lA703NT696y25PG53Lrz0OAc9V32EPKkJOzz02jE829NHvIw52LzUaZ08ikeRO3JbLrwwlQW8BSdqvKlnEL0K8OI7sS8Qu2blPDwP4aK83LhAvLZ/LDwmwEW8rWaXOU0vaLw2NT48z3jdu30iNTwyvdq8G8OwvBDGGzxhvu68+IgjugdPMbnAzdY5v1T6vGdDEjzwVIc8XnuSu9Nc3Tt9Pby8angnPTutIbt77Z88nUI0vOe11TsUdI28HDwNPWoMC7vnms44waSIO0HU/Tt+0R+7y6/kvGMphLyDmhi9Kr9MPA+Dzbvh3467lDdmPN+3x7sq2lO8imKYuzMAqbqNzbu9vGKzPI4rkbzQJ8g7CBmjO3LvET3hxIe8+ByHPN50ebxP65K8ic60O2D0/DwdIYY8WCz9PPwbDj1RLu88AijjO45GmLyvxHq8F9+wPJmUwrutt6w7oUG7vBhYDb1ud6688KWcupyuUDz4UhW8mK/JPMZtgb0/W5M8EHWGPHnF2LxM7Iu8eiMuvDpPzLw+4ja8clsuPK1LkDy8mME8B9bUvMvl8jvd+w48/7w/vNE0CDvSNIg8jQNKvUkVWjoVWQY8xYgIvTXX6DsLab88xGBBPZl5OzrU1bm7lObQPBOqm7zNaw+8YnqZvO4Eebwz5SG8WcBgvGKwJ7vjm0e8EST/uVKnS7wo6Ay9PhhFvB4uVDwE/5S8W3yLOi1F97vgZrI892BcPK+ObL2VX628geutO16xID0T4Cm8fBX1vLXdATwjcCm8ExY4PfNGzryGmZ+62GikPB/dPrlB1P07zPIyPGKwpzz9Xmo8SwcTvVgs/bsrOCm8Ohk+vX+bkTw35Ki8hmMRuyZHaTsfwre7IMI3vBDGGz16t5G7Kr9MvLnBATwqEOI8AihjvDaG0zvhqYC8D/wpO1OZBLxKqb27hSDDPPrLfztud66803fkPLjqTz1fRYQ8KhDivJHMQrz4bRw86PgjvBw8jTyMb2a83fuOuwQ1ozxshXW8ihGDPArw4ruj/fO78s3xvPHN8Tr39D88q8XzvIxv5jvwpRy9lg6YvF1Ty7y4tMG8RWfoO0MJBb0Pg008CzMxPcArLD0Dhri8PscvvMW+FjzjB+S885fjvNHWsrrYgys93LjAPM+uazt4Fm478IqVO0HU/Tz/8k29Eu7wvFHCUjw/kaG8vaUBvK1mlzxYLH26Zq8uvYW0Jr081XY8FHQNvUM/E73kZTm885fjur72lro5oGE9E8UiPVyXEr1Ow8s8Rqo2PbV/rLz3Kk486MIVPZQ3ZjzTrfI7driKOt+3x7zB9Z27PZ9oPQQaHLyVXy28Aijju1H4YDwHT7E8in0fPe8RuTy7H+U8pZ4XPGU2Ujvsiw48C59NvJQ3ZjtlAMQ8+/PGPEVn6LyZlEK8kkUfvHIlIL1aOT08AijjPPdgXLxGFlO7qHVXOyYR27xDdaG7Wjk9vIXPrbz8AIc8s43zO/dFVT3gFZ03XsynPIaZn7xSO6+816x5PN/SzrxTBaG7FrfpPOstuTsPg807MUT+O/+GMTvoSbk8R1khvaZoCb1WVb080ybPvEsimjxhiOC73WcrPNieMrzrY0c8ui0ePLTQQTwyolM99ZZqvK23LDxDJAy9vEesPHF2tTzb7s66hbSmu9TwwDvARjO9xfQkPc2hHT1HPpo8Fu33O1WLSzy3jHo685fjO9hoJLwY+jc8xYiIPDKiUzwQxhu8rbcsvCAFBr2O9YI5y6/kun1zSrzcMZ07VYvLvOY8ebwpzYU8/GwjvPhtHD3Q8Tk8OoVavF2/Z72wB8m8hc+tOxB1Bj2QON88tDzePOe1VTw5DH68z11WPHCEfDxCqy+8OQz+vG6SNb0lffc7Yl+Su60wCT2kx2W9D4PNvKvF87vSNIi8nP/lvJWwQrz+KFy7N64avAjjlDwiLdu8ApR/PH5lg7wlR2m90KCkurFKFzygyN47K8yMvCbbzLxjKYS66Em5u6nTLD2AFPy82z/kvDo0xTxSO688l2z7u24mmTxpUGA8kedJPEdZIbwANhw9FHQNvIeZHzwVWQY9+FKVPNi5OTy7H2W885fjPBeporv7RNy8KhDiO/SJHD0UdI08yHpPvSc5ojxuXKe85Y0APYKamDztzmq8xEU6PHl0wzsTqps8mUOtvHwV9bytZhc68IqVvMkOszqavAk9x+ZrvHl0wz0zyho8yPMru1I7Lz3jgMA88/W4u0Q/E7wTMb883cWAvEN1obxg9Hy8rAjCvIE8Q7uoJEK7qHXXPOCcQLzkSrK9K1OwOWIBPTywWF474JzAu17MJ7wIGSM74d8OvY4QCrzwb467lDfmus9CT70ClH88C044PWIBPT3iPfI7aVDgu0mcfTzRGQG8B08xvPFUBzxwhHw71PDAvEpzrzx6gYM74wdku1KMxDtICIy81U4WPf/yzTvzYdU7YVLSPIFXSrtjvfU7G8OwPOD6lbz+Xuo7St/LuwAblTy2+Ai8x+brvHLUCjxt40o913ZrPC8cqTzzl2O8Lr7TvPgBgDsHhT88jG/mujkM/rwy2GE88FSHOoimbTyRzMK7ovAlPfMQwDusPlA6CMiNO++YXLw/rCg84EurPFHd2bxJZu88C5/Nu048KL1Kjra8rHTeulv19TvwwKO6aVBgPCXpBbxSVrY86XGAO2LLrjsK8OK8nqAJPYnONDwzG7A8wGE6PBxXlDy6Y6w7s1flO5z/5bxVwVk8VlW9Ox/dPryU5lA86C6yPMArrDzoLrK8QU3avDpPzLzjgEC85qiHvB1XFDzw9rG8BBqcO3adgzwG8Vu9XJeSPP8NVT21+Ag7HklbvT2f6Dw3eAy8B4W/vEsimjkpRvC8qD/JvOWNgDx8FXU9Aijjuyq/TDrfCN27/FEcPGD0/Dt305G8CvBivPw2FbxHCAw8BP+UPATJBjtjRAu8UlY2PLX4iLy0PN47E8WiumpCGbsz5aE8uOrPuo1hHzuZDZ87crkDPT8lhTslR2m83YKyurpjLLx30xG9kbE7vFWm0rykQMK7qbilOzmg4bxnKAu8xdmdvOjdnLxhN8u8heq0O3Y/Lj1trTy5iKbtu8m9nTz6X2M88duqvD2f6LyhQTs8MMsTPM01Ab14Fm48fanYPCIt2ztDJIw7P5EhPLncCL3AYbq8BvHbuq2cpTw+ado7qkwJuj4YRTwI45S7lvOQvOz3qrymuR48UWT9PEaPr7u46k88+aMqvE/rkryxgKW8heo0vdhopLvUC0g8I4swOxlzFL0AUSO8UozEvF57Ert4Fu4813brvNNBVrwnVCm9eeDfvHLUCr2ihIm8JX33Ow/hojrb08c8xQ8sPGkaUr2Rey08w+fkO4oRAz1EJIy8G6gpvIoRg7wMkYY8+9i/u+1VADxxGOA7STBhO6Ss3jyW2Am8yfMrPQdPMTyBV0q8uJm6POTDDjuA3m08ba28O3H92Dx9IrW8/4YxvZQ35rt+thg8jhCKPNE0iDt7t5G8RwgMPK4VAr183+Y7KzgpvHK5A7w11+i8ofClPAufzTygrVe862PHPEQ/E7wZcxS9SvrSvN1nq7xGjy88rO26u98I3TwxRP47JzkiPBZLTb28R6y85N4VPOzcI71OjT28Kok+vMfma73sErK8NHmFvE0v6Dwuo8y8lDdmPOGpgLwK1du8yWyIPKG6FzwGXXi813ZrvJ6FgrzJUYE8dBdnPK2cJTrZMhY9TnK2PHK5Az2Qbu076YyHPCc5ojuW85A7WLOSu+TeFTydJ62899k4u/SkozzARrM8MQ7wu6SRV7we+MW8jKV0vMDN1rtC4b27Rz4aPCL3zLvbCdY84akAvSItW7xnDQS9td2BvGNfkrzhqYA82wnWu9W6sjrUnys7O8goPCdvMD2xLxC7zYaWPNxnKzuehYI8rdIzPfTaMbz9Xmo8e7cRPOY8+bu8mEE82vwHvI5GmDw4/6+6frYYPB5/6by9Ryw80CfIu+99Vbzs3CM8jiuRPKnTrDsmwMU8Dp5UvIxU3ztg9Pw7TGV2PKztujxG+8u7WcBgOy6IRbx0F2c6zPKyPMQqs7yhn5C7mteQO9TwQLwLM7G8BifqPNSEJL1CxrY7zNcrvdX9gLrV/QC9iQTDO/S/Kr3h3w68tvgIPLEUCTvgS6u8z65rvAzimzx+ZQO8xb4WvU+1hDzn0Ny8zYYWu6mCl7sH1lS8QZ7vO2cNBDzggbm5LtnavEpYqLyFIEO8iiwKvNVOFj2UbfS7Zw0EvWNfkjxisCc8GJVJvCG5Az0xzSi98uO7PLfeXrxpnBg8Q4YBvUIBo7se0ge8lWoPO6GBoDzHQfW8g+DSvAKdFD3UE1I9x9xrvIFFXDz6E9E8+Xhau4p/Lj1iE1W8SWoRPZOZq7wVE1c8leUwvYB+tTzvd2G7TMwuPIXRiz1lEGm8OtENvT8wv7wMAxc7lED9u0ysWbptFE67ldtzvSN2bb1HeVi8YP08vexB9DsJ3HC9TMwuPN5NpLw14FQ8MDKyvDSq5zyanZC8gQ9vO0XonjzEFcW8jgEhPYi4BzwcDX89hKd5vR/eYrwgmS69vjG1POhOnbzFpv68Gss2Pep6TTy3Yz29u9vyvHrmKrz5eNq7+UJtPCbshDwYfzG9pEhHu7feXj3S3WQ93k0kvV9Mrjw+BI+9AQKeOylEZTx4/y48ZrWcvAjc8LzPhQS8mnP+vJ2EDL0OL0c6cJbAu4eYsjzqhIq8XACpPPbgzzy823K7FTMsPSK5AzwRIAC9X0yuvDsdkzzUE9K8SQUIvExH0Dyyq126GRBrvFtPGj1IQP+7WX42PBEWQ7sMA5c9AOwFPaIcl7yXEeG8Dy9HvCkOeLySeda9NoUIPeizprusYkQ8BN/cvG0eCz3WSb+8Tg53PFccmbwIgSQ8GbUePchrB70fTSk8F9p9u/4aorrYGiO86oQKPVzqkDwgHo08ylIDPc2q4zzE39e76Knpu0IN/rwA4si8KBi1PJd26rzXdW87TOwDPO4clT1HuQK9cbYVvVq0IzvZRtO7KQ74PJnsgT1Q31o8l7aUOxAAK73ud+G8xJqjPEb+NjxJgKm8rXhcOv8aojyD4NK86LMmvPBSgjzGpn69C0jLPH23jrzXfyy8+84cPeedDjxTQXg7NU+bPUoboLzMfjO8OnhfutsNery+rFa8vRFgvOsVRD3zqmI7ohLaO1YS3DxaqmY7ZZ+EvavRCj3RQu6735mpPKF34zwmZyY8AX0/vI8NfDxllUc87zItvZe2FD2XMbY8GlCVPJxOHzwMdPs8y2gbu57fWLkAZ6c7zuBQvIOFhj2x5LY87hJYPOFKODxPycI8bHlXPR7IyjuAL0S8/eS0PILqDz3mApg96BgwPflCbbxJ23W8dalsPT1pGL3bnJU8WqpmPFp0+bwyfje8HXxFPKaUTDzLA5K8wRixPajgUby+UQo9ppRMu6TNpTvE/6w8YeekvAoSXjzrmiK9OUJyPK64Bj2AtCI9OUwvvdKnd71ETSi9zQ/tPEHrCjx0DnY8gUVcO53fWLtmq987YN1nPPin9jzFNRo91RNSO3gfBL3UE9I7HIYCvQVkO72nOYC8LxwaPdwBnz233l482VCQPUaDFTyid2O9NC/GO/Xgz7ttFE68QnxEPW15V7yEp3m7PDOruJriRDykUoS8BYQQPLRmKb3OT5e7ixolvK/OHj3BGLE8zmUvPANOo7wb4c48zJ4IPGx5V73ZRtO8t95evCt6Uj063ei7k7mAPBtmLTqZ7AE9/Np3PWBiRrvO4FC9CNxwPGUQ6byYUYs7qKrkPKDQEbvW2ng8VhyZu9AAJjwKEt48kv60O30SW7tv23Q6R7mCPKjgUbxEQ2s8n6b/PCWsWru3yMY84dtxPZhRC7vVmLA9abIwPEb+trtBZqw7DjkEvXyXuTtC4U27wTgGvG/lMT1PRGS7x2HKvAPJRD2Anoq7mg51uR/+N70D04G8oXdjPIZiRb0Zq+E8WRmtvNgwu7yytRq9+NEIvejJPrzBqeo8G2atuxCFCb17d2Q8XODTPNFMq7uigaA5hLG2u1zg0zz/GiI8ZRDpvP6VwzxKdmy7qQAnO1IfBb3u3Oq8oEszvPvOHLwr/zC9NWWzPH2t0TwRmyE5tOFKPQ8vx7xGFE+9ZAQOveizpjrEmiM7LdAUPYOFhj33sTM9kUNpvR18RTyYzCw9JVEOPTcWwrzvt4s7Dqrouz+1nbt63O08rf06Pctomzs60Q090TaTO3JRjLx60JK8+NEIvSv/ML0DyUQ9s8syva64hruKBI09t95ePLGfgjy5Hgm93oMRPCv/MLwTsTk80UyruwoSXrw60Q09mJa/vCbix7xirku9mnP+O3QYszmDhQa70bG0PJCocj15sD08a2O/Of8QZT3IEtk8cfvJOzlsBL0LaCC9ZHXyPPlCbb2o6o48juFLvZd26rvLaJs8aIYAvchrBz1E0oa7dslBvNefATw92nw9w2Q2vVNLNT2UFM28ITSluZoCGr0WziK9iK5KvA/g1bxcACk8L5c7PavRijy8BYU9eR+EvfjRiDrnc3y8RENrOwawwLsZEGs8bs8ZvSAeDb34Qu06Rd5hvXwSW73PAKa8wanqvEXonjx3etC8L9xvvcGdDzxSH4W87LA6Op+m/zw0L0a8pM2lPGfhTL2afTu9ybcMuTS0pL0retI8Y9r7PDxTgDrrHwE9meyBves1mTx1sym9NLQkPcpSAz160BI90t3kPIp1cT2nTxi8/rWYvN6DkbymGSs9ERbDuwVku7xc4NO7vHZpvNFMKztteVc8/Em+uqe0IT3s0I+8qGWwPJRKOjosNR67+XjaPJRKOr2vzp69Iko9vQkS3rsfg5a8Uh8FvW9qkLxpqHO8q0wsvEsxOLwWU4E7fBJbPPvOHD20Zim9a+idvJOZqzzqhIq7AEfSvANOIzxj2vs8TOLGuybiR7slUY68TMwuPG7PGb246Bs83uiavFkDFT3dQ2e8yJe3PLTrBzwpTqK8U7C+O8QfAjvjEd87wS5JvQtoIDyIE1S8UYQOPRJCczyYR0494oClPBwN/zrMGao8j5yXvOhEYLxOGDS84xHfvCK5Azx0DnY8Uf+vPHyXuTzsSzG8wk4evN3IRbwWUwG9VxyZPLpA/Lsq6Rg98p6HvHkVR7x1qew8xXrOPCZH0TxtFM462LUZver/qzt9UoW80UJuPb4xtTtZaB69BOkZvUr7SjzcNwy94gUEPV6xt7zxfjK9kLIvvSQbITxh5yQ9EIUJvKl7SLzy47u85KxVPd1D57tkdfI7euYqPZSvQzt7BgC9jbWbvTzOIT2xEOe8cHZrPL9HzTupACe99eBPO1NB+LtkdfK8KmS6vKOtUD1ln4Q74gUEPcdrh7xtede8ODYXPHdOILy1Dfs7QzcQvIFPGbw16pE8vGoOPPyuxzxLtha9LUF5PBLRjrnEhAs8cfvJvMfmKDyx2nm78QMRPRZJRL17d+S89KpiPOFqDb2ilzg9lvvIvNGxtDtxrFg9z0VavMECGb2xn4K8aRe6u3Sdkbzx2f68ppTMPKqxNbrO4NA7F+Q6vOedjjvi2/E7A0TmPNFCbry4gxK8inXxvEc0JLwKrdS8bbkBPUIXuzoId2c8UzUdvMvjvDus5yK8ULMqvXmwPbqAOYE8gU+Zu76sVj3vrU69/hBlPF9Mrjv2m5u8ZRDpvEoRYz2eHwM9rq5JvehEYLxLtpY8p6pkPFdIST1gghu85MwqPMeBHz2r0Qq9TMwuvFl0eTzoRGC5yPzAPCd9vjwydPq8my7KPHeEDb0YdXS87dxqumF43rwwEl28ohyXvOSs1bzuHJW8javeOu78vzxXrdI8wQIZPTJoH73cqPC8m50QPJxOnzyRTaY80UwrPOywujtesbe96x+BPKHQEbyW+0g9H/63uzC3kDzu/L88s8uyvGWVxzy5mSo9vlEKvWZQk7xWlzq9zBkqvI3LM7zoOIW6v2eivS8cmrybDvW8rriGvLUNe7xlEGm8fJc5vUZjQLxISrw8IBTQu1p0+bwYfzG9oXfjOwECHj08zqG8wjgGveMRXzwDTqO8EACrvCXMr7ug0BE98p6HPCnTgDtCnBm9qGUwugIYNj0+f7C8ChJePCv/MDyoZbC8A06jPA/qkrw7HRM7QeuKvNN427xcZTK9W8q7PGBsgzszD/E8zarjPFmeizwSQnM8T04hvFRrirw14FQ8fTIwOwOdFLyNRlW8b9t0vOFqDb2IuAc8bP61OxUdFDz+EOW8ykjGu7pAfDwVE1e88pTKu9gaI72AOYG8lEB9u8gSWTo16pG877eLvHeEjTs8zqG8nemVuqvRCrs/nwW8g5uevFV3ZTspROU8KQ74Ozrd6Dr/MLq7p08YPYA5gbwjBQm8FZi1O7xqDjxGFM+8wQIZPeLPlrvRp3e7+XjaO7wFhTxF6B48p8q5vGmysLzkthK9PEnDPNefgbydZLc6j5yXu8yUyzyNRtW8JkdRu+xBdLw8HZO9my7KPI3hy7wm7IS86emTPCuEjzxMzC47Qg3+PE/JwryydfC8YEJxPKhFWzyoZbA8SpbBPMgcFj1uQH486ERgvId43bza64a7JkfRPIZ4XbtIz5o8bRROvAvNKbwqZDq8VzKxu1BkuTtpN4+8t+ibOzCtU723yMY7Fa5NPB03Eb1tFM46nMlAvNfa+LzPhQS7uR6JPHCWwDyUzxg9T06hvME4hjzZRlM85w7zOi8cmryGbII7WZ4LvZCo8jszngy8rrgGvaH8wbtJBQg9JwIdPRWYtbudhIw7R7mCPDp437zMD+07rXjcOt7e3bvXde+8OWwEvJOZK7oTbIW8bRTOO4CeCrqTmau8rRPTvOzQjzuBD++76Klpu8kyLrz9BAo9OBZCvOIFBL00OYO8ovxBPJHoHD0yfre8A8lEvamFhTzUrsi7wsk/PUZjwLtzApu8a0PqPE1RjTwNng26/Em+uuA0oDznc3w8cBHivIuVxrtHr8W8F+S6vPuuxzvbAR+8RMhJPPOq4rrHawe8FbgKOU1RjTwDDnk8dS7Lu66uSTzE31c8inVxvP9Qj7qfNRu8guoPu4ufg7oCGDa8XrE3Pdyo8Dv43WO8SYCpPIPqjz2sbIE7JRHkvKIS2rvPe8c8761OPMdrhzwvHBq9QesKvPszpjxr3uC8KQ74PM5lrztHuYK8ykhGvNUTUrut/To8CZc8vWtjPzwj+0u9t9KDvFTmq7wVrk289U8Wu37jPr3EhAs8MnT6PHAFBz14miW8y2gbveA0oDy+tpO8k7mAvDlMLzxB6wo9cIAoPfWFgzxtFE4887SfO8d3Yj3MAxK9dA52vL5RijwLzam8gso6PPBSgjx5sL07x4GfvJsYsrx+4747meJEvd8eiLyTFM271km/vAWaqLyfsDw9UXpRPaOt0Lyg3Ow8etxtPT+fhbz+de454gUEPWCCmztj5Lg84s+WOxfafbs2e8u4ofxBPZjMrLxhHZK8WGieu3pBdzyAqmU8+pgvPRfafTxhmDM8DqpoPCk4CjxWrVK88y9BvPIZqbvq39Y7XIUHPftJPr1ytpW78pRKvE3ixry9Gx28550OPTqCHLz/MDq8SXbsu4ufA73nnQ68V63SvPtJvjv3sTM8R69FOP6rWz2XEeE7/QQKPQ/gVbzqhAo8WeO/O43riLxbRd071LiFPPAyLTyg3Gy71Jiwu2UaJjwXaZk8KdMAvTVPG733NhI9JazavCkO+DsZdXQ7rN1lPEM3kLy8BYU8x0syPEu2FrzsQfQ8P3Xzu7PLMj3s0I+8dansPJs4B7uQ0oQ8eB8EPFM1HTwj2/a8F2kZPXGsWD1SH4U8AOyFvD+VyDtEyMk6oXdjvBwBpLy0Zim67xwVPKo2FDs8ScO8ywOSvCnJQ71tr0Q8SM+au45mKjz1hQO8vHZpvOMbnLx9UoU8RpktvDAGAj2yGqS6IB6NvDzOIb1Gma28vHZpOz+fBT0HNR88hULwPGgBojz6mC+8XrG3PHuBoTyiHJe8i58DvZcR4bwQhYk8ohwXvDaFiDzEmiO9TOJGvFo5ArzsS7G76WS1vJcbnrzq39Y6NLQkvPc2Ejxn4Uy84s8WPK64Br0L40G9HBe8u10WQTtryEg87hJYvLkeCb1jziA8DH64vAkcGz0e0oe8wZ2PvMtoGz1r3mA9pg9uvB2ysjz6E9E8pQOTOkzsg7yENhU9mgKavLVmKTwe0oc8158BPRvrC7s3m6C8OtENPXZkuLsA7AW9cAUHO8q3DD08M6s8UKntvC+XOzxKGyC8QpwZPeg4hTyac/67Mn63OxEWw7zL4zw8nt/YvK1sAb2S3t86fkjIvBEgADxkaZc8lWqPu/DNoz10nRE8zA9tvCwVST2NUBI9EIWJO4b9u7w60Q094xucvD+fBbyDhQa9ixBovNlQEDxJgCk87hyVPLKr3bvHQXW9REPrvGz+tTxAUJQ7P3VzvGIzqrtpnJg7y2ibvNSuyDoAR1K8vOUvOob9O710Dna78X4yPQNEZj3igKW6/8uwPGKuSzpHuYK86E6dO4cT1DtMR9C7yPzAvCrJQzxEqHQ8NUXeOyt6Ujzq39Y6Vq1SPRCFCTutmLG6HAGkO1PQk7uZ7IE8hnjdO084ibzvrU48GrUevJVqjzy1Dfu6/qvbu/qYrzzqZDU9RMhJvLvlrzzL4zw73ugavYA5ATxk2ns8hxNUOxI2mLw0qme7E2JIvE4OdzyDAKg7QeHNPAq3kTridmi79eBPPIrkt7yDhYY8v0dNOwtIy7y8BYU8MmgfO5A3Dr2eFca8w+kUvLHktrwE6Rm8itp6u+Ss1buzUBE96npNPMrNJLopROW8wQIZPYnOnzw92nw8pK1QPOVRCTykzSW8Bf8xPJ16z7x1s6k6pzkAPSOAqrpbT5o7OnjfPEnlsjy8BQW8VNzuu5sOdbyQqHK84tvxvFOwvjvBnQ+96WS1POnpEzyLGiW9nnpPPFqqZj2ac346CdxwvXrmqjzD39e6YN3nvOg4hTutgpm8cbaVvNCbHD20ASA9ixDouxvhTrxjrsu8TOJGuzuYtDxwduu67EH0uzxJQ7uw2nk8rriGPEnbdbxxMbe8bTSjuuRRibxaOYI8KdMAvJMeiroIBgO8c8wtvJMeCrzTgpi68M2jPAI4C7yTFM27wXN9O8drhzw16hG9y+O8vJYFBr19tw68zuqNvIiuyrwGNZ+8sRqkvIufA71KG6C8JkdRPMvZ/zwOtKW8138svE6dEjz85LQ7I9v2vOgYsLyAtCI7jw18u1Tmq7ymnok8tGapPFwAqTvs0A+8BZoovHQYM7wnAp28x0F1vIbdZjtLtpa7761OPFX8wzwkgCq8/dp3vDXgVLx4FUe72VAQPaZ097wcDf88S7aWulDplztvapC8lvtIvQfQlbxDhoE8Y0nCu1X8Q701ZbO8dslBvHgfBLy/ZyI9Thg0vFmei7yIrkq91tp4vI3LM71geF68gH61PDsT1juqsbU8rzOouwUfh73t3Go8V82nPO1rBj2AOQG9abKwvCQRZLzt3Gq88X4yu3dOIDyEp3m7F9p9PBPnJjxChoG7I4AqPXQYszohNCU7LdCUPKtMrLqTuYC7LUs2tku2ljzs0A+9c3N/vP6rW7zTeNu70ULuPH5ISDwGsEC7yreMPKBrCL2ac/67xISLPAKdlLtyR8+8c2ekPOFKOD2PF7m5D+BVPEzsgzibqWu9JbYXPMsDkrxM4kY8UN9avKiq5DzVmLA8x+YoPAVku7wCDvm8eJolvFu0I73EhIs7xab+vKOtUL0lMbm8c8ytu70bHT2x5La8Aw55PDsdk7zGS7K8nERiPJFjPjxce8q81B0PvGH9PLzCRGE8LUH5ORNiyDvWSb88I3btPKF34zxyR8+7MBLdPG9qkDw0L8a7dJ0ROnQOdjwe0oe8gmUxOymzqzzud+E87WsGvXAbH705Yse8SUo8O+3mJ7zwMq273v4yvMdrB7yAdHg8q0wsvWWfhLsJ5q28i5+DvOZ9ubzeedS7c8wtPDVlszuo6o46u69CvAVkOz2DACi9XRbBPFH/rzzT/Tk8Y+S4POg4hTx3etA8cfvJOxpQlbwE6Zk7DjmEvDAS3Tz95LS87hJYO7joG7xv23Q84vvGvDlC8ryiHJc8hx0RPDAGAjw/nwU8dBizuZb7yDzMnoi7PDMrvB/oHzyKdXG8imkWPNE2E7xGma078WgaPJFNprwkG6G7gRksPMfc67yuuIa8PDMrPUFmLL1Hr0W7WjkCvTqCnLz3sbO8pzmAPDyuTL3nc3y8Zsu0O/1pEzwmZya87EH0vKGBID1qQ+q72UbTvM7gUDx1Dva8SQUIvKtCb7zRTKu8JwKdPD4ED7unL8O60af3vPMZqbxdmx+7qgCnunQYMz2yMDy8ykjGvLzb8jt4mqU8sA9oPIvK/jzjeD+8TMpQPCd4Jrwhee07dWggvdiHrDvXFDU739+8PKrdYjzYB+W8H5N+vN0GnjzCpYY9bzabugyXRzyhrLM8EslMvDkONj2dRv27Df3uPIbLVLwZLi08TrA/vQCAqTzlHhI8wMzYPIe+kz1QScK86l1YO9fHyLznBHI8QOaNvL9MoDzkqxo8f6YfvStEBL14wQa7aBHXvB7gajvlUV69TuOaPHLPnbyJV5Y7dLUMPPnaLD0qkWG8pxGUPJu6yjwyXOm701UnPXT1qLxuEJA9B8tpvdqtN73dBh69coKxPMNl27s6ga28bdBkPQCAqTxoEVe9j9YHvXO1jLx0qLw8pV7xPF8GMz2oNx+9km8KvUO/LD2Gy1Q9rUMZvVhuhjw8Z5y9NcKfPKtdKjvGvkE7VsizO4exQ7xcrUy7P2bGvFfuvrwTvIs8n4aovNC8JDvvz/m83FN7PBEWuTzFi2Y8Sxc9PZZ7BD3SCLu8pt64vATMvzwGGNa8ku/CvE4jNz0fYLI60Lwku7ZOPT2l3jg7n3lYPNYhdjuZFIc9wEwgPPE1sLn+GYK8V+6+vFZ7x7wbR+i9tVv+PK72LLtApuI8qbdXvJPi8jy9cwG9ilcWPRvHrzx0NcU8KZ4xPaUrJb1RyQk7tFt+PFsHerzXIYW8KgTZPPTbAj2mXgA7VNUDPa4p+TxwHPu8mRSHu4OyGb2coLm8UJYuPFe747yBTOM65wRyOhmhJD0L8YO8vllhu4BMY7wPYyW8K8S8PHNClT1vKcs8WodBOwLmUL3nBAG9kTwvPPcnGbuzqGq8kImbO6beOD2BjA69D2OlvGpEMj1zj4G9dejYPAGzBLxyAmq8QBlaPMfxnDz/svU7SP6BPf7MFbwuHaO8gBkXvffn7bxFmMu8KKsBve/P+Tz//2G8SWQpvAbYOT1nqy88W3qAvdMVCzzGMbk8mOGrO1du9zzJyrs7C6QXvWoEFjyiEls8lrsgve/PeTylq908+g2IPJut+jvjOKM8f+Y7PI7jSLz39D28km8KPE+jbz3Mo9o71TuWO6g3nzvL/RY9VntHPW2dGD1FJVS8HPqKPKZegDxYbgY9CuQzPQKmNDxDsty83QYePZxgnb2oxCc8GW7Ju3l0mryAzKq804jzPDVC2DsTvAu9LwOSPR9gsrzKSoM82DpAvVy6HDwC5lA8ds5HvADzoDzIpDC9qx2OPDV1szw+gFc9dPUovQGZZL3Y+qO857cUO2F5qjx8DZ083FOKu9chhbwrxLw8hYu4OhphiDwjbCw7F8gFvKIfK73fLCm7CEsxvbEPaL2FmAi9PgCfO21QrD1Gi/u71TuWPZztpbqAmU+9GLu1PK72LDySola8dSiEPQyXR7xFJdQ8n4aovA+wkbtToqg7t0FtPMIlP70H2Dk8CyRQvFqUET1PIze7z+9wO1GJ3rw8DeA7OyfxPNgHZb2hrLO8CQsVvYZ+aD3o97C8kMm3Own+xDzC8uM8A4wjPZUIjbuxQkO9VzurPP6ZurtF5Tc8OcHJPNyGVryp9wI86h28vIexQ7wE/5o87hxmuy+QmrxJZKm7fTMou64pCLyMfSE8hn7oPNS7Try9c4E8MMNmPZRIKbxsKqE9WlRmPH+mn7wEMue7DcoivQ8wyjwMFw892bp4vMTY0jwghj282DrAvGfrSz0D2Q+8qqqWPHS1/bwjLBC8JBLwusJlW70Bc9k8QJmhvE4wBztm+Ju8sQKnvEpkqTlpN+I80xULvf//4bwkkre6D2OlPBpUuDptnRi8i8p+PCK5mDwUL4M821MKvQNZyDxbh8G81TsWO/L1k7toEde7rbaQPNRu4rn7wBu942vvO3oa3jxFGBM8/gwyPWIf7rxsHVG9j0lwvJSVlby2Tj27ydcLPY8WJD0oq3I9ck9WvW1QLDmixW49bynLPLyAwrx5dJo77MOOPM4JEbw3TtI8ipeyPENywDvyNbA8vbMdPB06J71oEde8zlbuOhzHL71zwk09RDIkvfc02rsNioY9Q3LAO/9MzrzsA6u8CL4oO71zgTyCP6I7Akx4OzC2JTuD5eU8oh+ru7YBUb1leFS92+ASPf3mpjrg0my8bQPAPMkXqD3P/EA8oRJbu/WBRj3Bssc8fI3Vu/QbHzskEvC8NA8MPQp+DL3EmDY8VNV0vUeLirzj67Y8L4PKu9HV3zyaR9O7iOQeOgLmULwG2Dk9RaUbveqQszwCTHi8xUvKvHCcQr1I/gG804iCvK/cG72wD2g8pKtdPWwqoTzpnXQ9ZUWIvQuXxzuEJZG80W84O8W+wTx5Z0q7sE8TvbVbDb1udje8a7cpvcu9a72p9wI7bYP4vMdx1TrES0q8XxODvQLmULw9jSe8b3Y3O/JoCztFJVS8k9WxPGpEsry/2Si9LtC2u7oam73TiII8y3D/PGoEFrxVFSA9m/pmvfmakDzGfiW9Qdk9PQQy5zwDWcg8e1oJPN5sRT2zqGo6km8KvQ9jpTwAwEU9iVeWux9gsrzlXq67AlnIu8ck6TymXnE7k2I6PFhhNj3ja++89Y6WPP5ZHjxMvQ+9VsizO7YBUb2kK6W9gjLSvCtEhLwHJSa8O7QIvOcEgbxeoPy7M1xpu25DXLzKSgM8gMyqPI2jLDuvKYi85gTyvJEv3zzVIfY6WSGavEI/5TwnOIo8pPjJvEfLJryzqGq8b3Y3uJlHU73Bcqu8HXrDuwrkszyuKQi8fI1VPJjU27uPCdQ7Ey/0O/WBxjyhX0c8ZFJJvWU4OLwuXb87EZYAPRQv9Dwi+TQ95CvTPGwqoTzTiAI93x/ZvJ5TTbx8AE08W/q4vGpEMjy5mlM9U+JEPNhHkDylq128BhjWvFxtsDpyHIq8JziKPEvXIDoE/xo9rUOZO18TA73WYaE8/0zOPMtw/zyMfSG8b4MHvaDf/zuC8jU7x+RMPe9cEbyxD2i9YmxavTiObjylHtW8hBhBPX7zi7yTola9J3gmvRaI2js1wh89Ld0GO/YBjrzHZJS8pLgtPTQPjLwCZpg893QFPd55FbxbBwm9IQaFvemddD33J5m8xrEAPQGzhDuZFAe99gGOO9056jtzjwG9GxScvF8GMz1bB3q8AECNPCuEoLwYu7W8m7rKutTIHrx0qLw7/8yVu9Vu4ryPCdQ8RZjLPFy6HDySIh69qfcCPT6A17vdOeo79U5rvE6j77v6DYi8MumAPJwtwrz+GQK9o1IGPb5ZYbxNMAc98IKcvFnUrToerR4901Wnu0fLprw7tAi9C5fHO5duNLzbkya94/gGPbO1OryfxkQ8hr6TvFTiRDt8TTm8iDGLPKhEYLyVe/W7dtsXvUBZdrxWiJe8mZS/PDNcaTv+mbq7NPXrvD+mYrwz3DC7FSIzvdYhdryHfmg8aB6nPD2NJz28M1a9tg4hPdyGVrtpN+K70dXfvNzGAT2AzCo95Os2vZstQrxjEq08fbNgPUkkfj2JpII8ddsXPBQv9DzVbuK85V6uvON4P7pMvQ+80ohzPK8piDx/GRe84F8EPUCZobzEi2a7pd64uhGWAL0329q7bYN4O/c0WjwqRIQ6Hfp7PHlnSrurHQ49jaMsPZ2gOb0UL/S88qinvARMhzw4zpk7hz7Mu2gepzy8wF69EdacO4qXMrzxAlU9/Gbfu2jeCj1X7r48cwLqu2RSST1/Jlg9nUb9vIHMqjpnnl+9iRfrOlpHJbxpkR69YMaWvZUIjbwx9kG9A9mPvJSVlbwRibC8pSslveBfBDy9cwE9n0aMvA69Urwo3s28QVkFPONr7zyMMLW8pV5xvWerrzzLvWu80tVfvEDmDbzj+Aa8t0HtPOcEgTxAZka9DYqGvFf7Dj2zaE695kQdPG82GzzGsQC8jDC1PIa+k7wBmWQ8PY0nvBrhwLx0NUW9OkERPExKmLwq0Yw8b4MHPTu0iDviuFs6UElCvDa1z7yKF+s7BTJnO6FsF7zRIky7ssIKPFI8Ab2dEzE61LtOPPBPQTzZ7dO8nlNNvD5zFj1DckA8yFfEu9OIgrwZbsk5JziKvHeBW7urHY68t0HtvHrnkTzxQoC8Ld0GvPdnNbvxQgC8mseavHUohDrMo9o8AECNO6n387vJ14s7JZI3PdUh9rycrYk6opKiO3PCzTxA5g28ZFJJPThbIryyNYK8oh+rPOFStDx9gJS8R75WvDBDLrpWiBe9ntMUPSz3l7yEmHk8WpSRO/+ydTzBciu8YDn/vADzoLypqpa9jlbAPMkXqLxm+Bs5h35ouzYoRzxr98W7Kze0PKUrJblsKiG9AXNZu2wqIT0vg0o8e9rBPCNsLD2XrtA8BhjWu9zGAb16Gt68TrC/OY5WQDzPPF08VogXvHn00rwF8kq8kTwvvPHCOLvdOeq8dptsPGpEMr3hUjS8B9i5PMCMvLzj+Ia8E7yLOiheFb0Jfn07B9g5PAR/Uzzf3zw98jWwvBluSTxnq6876pAzvJZ7hLxlOLg8z+/wu0vXIDsXyPY7HuDqvF6TOzxoEVc9MbYlPbXbxbwch5M8ZbjwPEHZPbxYbga85pGJOmjRursoa9a8yGSUu2frS7zabRs8Ld33OuEFyDpZYTa8bN20vD9mRrzwz/m6c8LNO5V79bxwnEI9l6EPvAOMI73JCti8pxGUPBtH6Dy9M9a8GW5JvcRYmjy8AAo8nJNpPV3gJ7v+WR68qISLPCb43ju5Zwc9uWcHPP4ZAj2oRGA8vllhvNcUtToZruW8Hm0CvUkk/jxX7j4822BLPEzKULu1Ww08+OftO87WtTvGsQA8kuJyu38ZF7vAzNg8N6gOu7xzcrsmBa+7nO0lO8tw/zolUhu83ux9PXLCTTwd7Tq889uCPDiObj3qkDM74VI0vCd4pryOVsA8aNG6u1zt6DytQxm8yNf8u5hUIz0qkWG8LwMSPXOPgTya+ma7hstUPKHfDrx09Sg8c4IxvXXbl7ryNTC9+dqsvN1GOr2wXFQ7fXNEvIf+L728QCY8jTA1PX9mAzt09ag7cBz7vGlRgrz3dAW7PsBzuypEdTvLPTM9yNf8PDT1azrmUV487AMrurgnXD1P4xq9qxA+ukBZ9jvFC667od8OPAVlwjzYx8i5CmTsvGxqPbwfIBY7+o1AvcXLkby4NKw6Yt/RvElxarxJJH495RFCPRGW8bxFGBM9GmH5PDwNYLxk0hC6vmaxPGiRHjzaoGc8dduXPCtEhLw+szI8/7L1PGF5qrsIS7G7ycq7OwXyyjxdLZQ8IQYFPQJmmDyXLhg76p0DPefE1boZYfk7lQiNu5XIYbzieD+7g7KZPKHff71lhaS6hzH8O6vdYrtZYTa7IbkYPa4peby6zS689Y4WPKKFUr3uKTa5vPO5vDsncTzPiUk8zhZSvAZlQj2ax5q7ztY1PS3qx7xCjFG7ipeyPNaujbvN4wU8c4+BOwvxAzxyHIq71xS1u6YeVTv52qw8uKejvDY1l7wWFWM8Ahksu4K/Wrv8Zt87PGecPFe7Y7yV+zw8LWqPPE09SDxP4xo9y71rvLFCQz0gRiG9e1oJPSNsrDsAgKk8vSaVPN65sTrFvsG8gzJSPXwNnT2MPYU8bCqhOfQbn7pD8vi5lfu8Oy3d97spXpU7pxGUPGnRujzihY+8ATM9vCirAb1/5js86WqoO/f0vbtrqlm85R4SvNg6wDt12xc7PGecvFJ8nTzLvWs7SP4BO7YOIb1iH+67XxMDO9i6+DxbR6W7qDcfPPLowzsuXT88xcsRPStEhDubrXq8YLnGvNXuKb1oUfM7xItmOlsHCT2fhii9jH0hvBMv9Lu49A+8xNjSvMyjWrws95e8TEqYvN7sDDyHPsy8XaALPNWhvbw3Gwa9vwx1vJs6kjp+8ws8Cf7EOp4TMb0fYLI7r2mkvNS7Tj1tg/g747hbvMU+ejzFS0o9vwyEvD3akzzxdUw8mGHkOjv0pLxphM487DYGvHDprjzxteg8P/POOo9JcLyh0j68pt64PGq3qbxdbTC96tBPPD6AVzyTFc47rBA+vftzrzou0LY75zfNPP+/xTxe09e77TaGvENywLpMirQ50HyIvOqdA71drcw7hzH8vB16QzzIV0Q86LeUPNahvT3+DLI7eMEGvCrRDD2p9/M8gj8iux36+7yIZNc8bhCQvLrab7yxAqe81xQ1O8kKWDwqhCA8bzabPDUCPLz5Gkm9f6YfvD+mYjxqRLI7ZnjUvCI50bvZelw8R8smva6pwLyiH6u8r2mkPIz9Wb0aYQi7LWoPPUXlNz1bB4k7KGvWPB9gsjswQ667aN6KOy4QUztDf5C89+ftvLg0rDwjrEi8Xa3MPNKVwzt1W1C74dLsPF7TVzt8AM27EkmUPBZVDrvSiPM7X4bru+9cEb0Ye5m7r6lAvD6AVzxT4sQ7kqJWvFGJ3jxalBE9KtEMPEvXoDpIfjq8jL29vIAZlzzu6Rk9xj56u+/cSbuADMc7gMyqvIyw7bvADHU7AXNZPHGpErznBPI6zpYZPDJcabzOFlK8wfLjumTSEL0yKZ089Y6Wu1I88rx+ZvS89QF/vN/sjLwHJaa8OI5uvGF5qjtfRs88rMPRO9/fvLxYbne85B6SPKqqljxeIEQ8uCdcPJ0gAbv7c6+8pp4cu/gnGb1E8oc7gEzjPOIFyDkNStu6QVkFPdMVCzw1qP87+7NLvLpat7y7jRK9dDXFvMnKuzvPSa28vDPWO8RLSjws9xe9xYtmOH+mHz2j+Em7R75WvVGJ3jxEMiS8h/6vvC/D5jsOfTa9plEwO81W7jzmhDk9f1kzvKNShrtQli48cwLqOwiLTTyiEls8IBNGPEM/ZTqCPyI8X4brPMOlhrtrqlm8ntOUvMu967vm0aU8Ey90OZZ7hLwu0Da7aVGCu3m0trw/puI7o1IGO0QypLsgxlk8PCcAOrmnIzwknwe9Df3uvOESmLxLV1m71q6NOStEBL1rKqG71lRRvM0jIr165xG9fABNPDaoDj1HPp68gYyOvNR7MjsE/5o8pavdvOESmLyohAs6NbVPvJ7TlLy6Wrc8CJidPBTv17mdIIG8TEqYOmuq2byztbq8E6+7vDvnVDtfUx+7y/2WPBtH6DxB2T28vACKvFIvsbzdBh67VogXPdn6I70Xe5k8n8bEu2OftbzFyxG79gF/vXIcCr1oHic9fmYDvHjBBr1onl+8Mg99vIBMY7werZ67LCpkvDH2wbwUL3S9Xa3Mu9MVC7395iY8syiyPMKl97n+zJU8TyO3uwfLab2oRGA77Xaiu79Z4TwbR+i8qqqWOv4ZAr0rNzS8wP8zPDLpgDwjrEi8G0doPDqBLTx59NK7iaQCPctw/7rrg+O6dLUMvIDMqrxguca6u4BCuzQPjDxYboa8SDHOvF2gi7wBmeS8rXblPP6ZOjx8wDA8CMvpPMOYtrwc+oq8ZBItPDIPfbtU4sS8kfySPNzTwjxGi3s8CQuVO97sDDvaYEu9patdvIWLOLstqis8oWyXOTJpOT3Vro08NihHvPNbO72P1oe85Z7Ku3zAML20qOo6HxPGvM5JLb0wdnq8EUmUO76ZDD0EP7e8H2AyPKn3AjyWuyC8HyAWPYYLgDxApuK8WKFSPLYB0bxxqZI8KZ6xO22DeLuoN588yKSwPGIf7jwo6x25xFgaPYG/Wjxcupy7jeNIuzvn1DwEf9O8kIkbvDLpgDwXyHY8lJUVvZt6rrv+GYK8jH0hupQVzrobR2i80SLMu8axADy/DIQ81eFZvJE8LzruadK8W3oAvS/QNrkFsi67nVNNO0PyhzwZYfm547hbuzo0QTx/pp+8UAmmPOc3TTx+s+A8S5cEPGNfmTxfE4M8/Gbfu3Xo2LzZugc8vwx1vIqXsjz//+G8WK6iPMp9z7zdxgE8/7L1vKR4kbwN/e48f2Z0O5Ev3zuZ1Ns8S5eEuxUV4zzB8uO7f2aDPGzqhDwKZOy82e3TO3dOj7xQ1sq73x9ZPCpRxbwOPRq8tVsNuoyw7bxdrUy8aVECPeqd9LwKMaC7K4QgvbwAirzf7Iy8v5mMPMZ+Jb3N1rW8K8Q8OwPZjzwyXGk8c4+BvKnqMj2V+zw81mEhvT3aEzqdoDm9gEzjO16gfLznN028nODVPMpKg7xT75Q821MKvWZrkzq5Wjc7gv+FvAfLaT2d0xQ7f2YDvXzAsDwPY6U8OvXAuxtbZDzD6GO8N60evDa0/bw+G7I88ApSO3ExrTvKoy08JDGAvKbzEj130SS8V9gTveaGAD1Tom890EMlPB8S7rt9k009OOohvDoXcj1X2BO9YIOqOqR5DL20PqE8XCtVvULSOz0wP4s8lIITPZjKNT3ZCY68fh0HvHFT3rydnBE8HxJuvIL2wTwTH7U8ttpYvRHH37zZTXC8mKgEvYiWubxtzji9LaoyvImxC71ZdEu89twtvFOi7zyNWGK7UIwxPAI/Tj2o3IC8FgijPGpUsrx1Vx49RwNMvfXB27xTIYq9jcfJPC7nNTwvRuq8vceGPZ5a+jzGn+28ticPvUzFdDxlI6K7l2uBPD75gD0Lls+8k9YovFCMMTwmPJ89zK5MvVHJtDxJQE+9ihDAPLgyLjzXj4e7RfisvGDALbxunFS8YqmbvGLLTL38L288lx5LvKyTirxBlTi9UnWfO8lmqjvEJWe8wvgWPZAfn7uaIou8Dk3ZvKp4OD2/oEG9kB+fvJl2oDtoSZM78yWkvFLkhj2ZBzm7UTicvFFqgDyt8j49uDIuPU++FTziYA88eroSvVqxTr3KNMa90t/cPJ7ZlLxrs+a7NpLMPKUVRD3HGXQ7ZSMiPR3lHTzOKFM7mkQ8PLCpSLyaIos802mWPLUMvTzSvSu9oOQzPatWh7yjve67pdhAPTUzGD0XNXO8PW/HO2edqLx8Vkq8/HylPOG0pLye+8U8KWKQvAI/Tj1Wm5C8ZOYevWdQ8rvKxd68ZvG9OtRZYz0/xxw91Or7O3KQYb1K7Lm8qRkEvbuKAzyjmz08d9EkPAKutTwekQg8iu6OvFPU0zzHW4u8n8nhPJcey7z7YdO8pRVEPduDlDx2hO68NnAbPdV0NTr4iJi8xJROvSWQtLw9AGA7RCqRvFE4HD3VBU68C3SevIBKVztnLsG8Pwt/vZsS2DvnVJy8fQI1PZg5nTx79xW6Pwv/vKXYQD0vAog8RfisvGhrxDzwzc48U6JvPCUhzTx53MO7rJMKPLMBnrpz3Ze7XWjYvMqjLT0Pmg89Uck0PQWH8DxD7Q0962paPdUVAT0CjAS8aGtEPW/Z1zwfXyQ9WXRLPcUeiDzpgey8DGRrPYveW72KEEA8Vhz2u1lSmr02kkw8t/WqO770VjtX2BO8Tz97PTccBrySu9Y8t2QSvRdFJjzLcck8vkENvCnj9bvhtCS9GeHdPCtd/DuVA/k8HkRSvRHHX72bEti831zPu9ZCUTw8kXg8IjhfvMQl57xNo0M8Vb3BuwitYT24VF+6WBUXPNlN8Lxo2qs8ZZKJvDa0fb386wy9mFvOPAi9lD0fEm483UF9PTa0fTxQaoC9Nt+CPFg3SDzstxC7EuIxPVTvpbyFrcu7X4MqO8qjrbwYpNq8diU6PKB1TL2+QY08H1+ku2bxPTyo3IC8I+RJOzgMU7x8owA95WuuPERMQr0h2Sq9AXGyvEKwCj3f/Zq7ZmClPCX/mzwrn5M8LTtLPe/v/7pGpBe9t4bDPIJlKbykCiU83OJIPT0A4LxnDJA8auVKvJa/lrwzuZE8szOCOKtWB7xUgD67dImCOstxybyaZm08f+siPVw7CLxTQzs8BwF3PTq4vTqsJKM9EnPKvH2jALzN60879Q4SvPTzvzysk4q8YC+VO6/bLDwSwAA9mKiEvahtGT2uYaa8Pd6uu7FVs7y+9FY7wN3EOkzVJ70HcN48zXzou+zZwbvSvau7HJhnvC2Igbwp8yg6Yu39uyebU72mFUQ8WKavPC7FBL0oaW+8GIKpO4mxC7sHAfc8Sn3SOugAh7tmYKW8Nt+CvHzFMbwO3vG7QfRsPKjcgDrcUbC9H/A8Pf6p9Tz6Ap87l2sBPUJBo7ckMYC9/UpBvUlQgrsbW+Q8swEePYe4aj0m72g9KfMovak7tTvaRhE9GLSNPMdL2LxNEis8xdFRu8mI27whjPQ8UTicPFabkDy0zzk8Pd4uPGxvBL30Yqe65J0SPaLv0ry1DD099sx6vD1vRzv0Yic9t/UqvAhOrTyv2yy951ScPGGOyTyOFIA8eroSu9+ZUjwRFBY9IC3AvF5GJ71Gxki9J5vTPGxvhLyfyWG99Q4SOvF5uT1aj508ciH6OhjhXT0vAog8Dl2MvMmIW7y5keK8EaUuPbLEGr02ATQ7k0UQvQrq5LvPdQm88QrSvAsFtzyvjva8NbT9OoNVdjxgUUY9RWcUvdpGET1k5p464vGnvEZXYb0pYhC78leIvOFFPb1QjDE9CL0UPVOyojz3S5U9ef50vR1UBbxSdR87xLb/u6BTmzwQ+cO6x7o/vYRwSL2Wvxa8wbsTvbV7pLz4VjS8l33/Out6DTzyR1W8i01DvfO2vLsEuVS9OlmJvHYDCT0iSBK8ZHc3PM1aN733zPq8jTaxu+lfu72gdcw8I3ViPUOg1ztuLW094KkFvZpmbbw6WYm9Dl0MPeY5Sjx5fQ89fh2HPEboeT0wP4s86c4ivb2VIjsMQjo9So2Fu0Xo+byo/jG7a0T/O844BjwvJLk8NKlePOQeeD1pyvi8CurkPM91CTw3rR47REzCPKW2j716upK9pHmMvbpf/ruKoVi8vZUivXgw2TouxYQ7r0qUvEjRZ7xNxfS7C5bPO/c7YjwEuVS8Ylzlu/SE2DzkHvg8WiC2vIsrkjywCP08XXiLO0OgVzwS0n68JZA0PFYsKb3OOAa9fHh7vGbPjDyPc7Q3iHSIPBEUlryRywk8FncKPV1oWDyMaJU74mAPvbZJwLuhkJ67x0vYPPJH1TxJQE89wTx5PFD7GDww0KM8i97bvGtE/7y2a/E7FneKvKQKpTv2zHo8Yf2wPB6RCD1LKb28M9tCu1mW/Dueai29AALLPA3uJDxGV+E8Laqyu2tE/7v9uSg8jhSAPP6HxDytwFq8DCAJvUp9UjziYA+7jpVlPRvKS7yqmmm9QXMHvTI6dzwPmo+8KYTBPCTCmLwNEFa9qczNvIMzxTwK6uQ857NQvGEf4rzG7KO8WcGBPb7Spbx3Yj08KEc+PWFsGDyFixq9acr4vPs/ojzHWwu9vOm3PKixe7oyDSe9bumKPAm9FLx8NBm91uOcvAkcST1795W6xOEEPatG1LvW45y8gvZBuVlSGrxCY1Q8S0tuO7dkEjw/euY875DLufvQujweszm8fj84PBuomjudnBE8m4G/vPXB27snm1O8xCVnPJoiC73+h8Q7iqFYvBwHz7wkMQA9kQ/svJa/Fjz0Yic9jSb+usPoY7xaILa8y5P6u1kFZLww8tS8Uga4PFW9wbsiBvs7YxiDPHgw2TpIcjM7acr4PJOJcrwhSJK8zckevJNFkDzV0+k6eJ9Au2siTjwar3m7JDEAvaJeurxdeAu8CfoXvZEPbDweszk8kI4GPH6uHz18ePu890sVPW9Ivzq08Wq60k5EvL9BDT1C0js9DNNSvbpffrwphME8/SiQPOgAhz0DDWo8OlmJPB8S7rtJHh69uaEVvPWfKrwqUl07Pd4uPP5lEzwcB8+8Yjo0PDXEsLwQ+cM7ciF6Ow68QLxROJw8CK1hu2yRNTy6X368x7o/OwwgCTyKf6c8dDxMPXUaG71NgZK8SR6eunIhejzEcp08l/wZPK6eKbvUyEq9F2fXO72307uDERQ91lIEveot1zyGyJ08LwKIvLHmyzywqUg9GVDFvETtDTy4VF+9byaOO4/im7yZmNG8swGevUA2BL1jdze941BcOxg187ztFkW8of8FvKH/BbzQZVY91DeyOjuG2bsSBOO8u6w0PF/yET2ASle6Zy5BvYMzxTt2A4m8GIIpve+QS7x8NBk8UIyxPOAqazw3rR69JqsGvP6HxDxF6Pm8Uijpum7pCrwMIIm6ETZHPQQovDlF6Hm896pJvAxka7vUyMq8IhauPJxfDr19AjU9HBcCPChp7zzmOco81QXOvFmW/Lyhss88OJ3rO5KZpbt4Dqi8lr+WvCd5Ir0K6mQ8+z+iO6tGVDzbx/a8k4lyvA+ajzzCGki8YHN3O9exuLs+rEo8Z1ByvKoJUTo2tP28Org9uxLAgDy6b7G8BJejOy2IgbtI4Zq8WiC2vC+10bs6uL05Sa82uzonJTuIdIi8CwW3PNCyjLzWQlE8BwH3u3NuMLzfXE+78M3OPBA2R7zns1C83bBkO0++lTz+GF28/C/vvJpEPDzqLde8B3BePNERQbycT9u7kwiNOrA64TySCA28fOfivMrF3rvgCLq9WrHOPG0t7bwFQw68HVQFvLLEGj1NgRK9Z1ByPOmBbLwVKtS8gFqKPDYj5TwiBvs7KjAsPM3JHj1GV+E8YlzlO2FsGL0mqwa9Dt7xOi07S7wWd4o8r/3dvAN80bz/VeC89VJ0uzjqIbwEKDy898z6Oxm/LL2vjnY7YqmbPIyKRrzvkEu8dQpouhlQRb0Nfz28BAaLPEjRZzxM1Sc9pbaPu7usNDk09pQ82ZqmvAHgmTujLNY81lKEvHL/SDzQsow7NTOYvDUzGD0Je/08LYgBPWhrxLxUIYo7790BPZAfn7xI0ee7fKMAvTjqobtB9Oy8HHa2Ox9fJLxE3dq7S0vuuw68wDsrn5O8XCvVu/LoIDy1e6S8z/Zuu1r+hLxmYCU9ri9CO/m16Lzl2pW8aTngu22sBz36cQa9qCBjvfm1aDwgvlg8fDQZPQn6F72tg9e7KeN1PJuBvzl5fY88+CTQO3uILjyzkrY89Q4SvEEEoLtB9Oy8zPsCvU003DwUXLi7NBjGuyzclrw6uD0828d2u+Kk8TwJvRQ8n6cwvG8mjrww8tQ8pGnZvJkHOTuN+S28GKRaPKk7tbrBPHm8ORdyPJK7Vjx4MNm8fq6fPB5UhT22eyQ81tNpvN79mrxasU44eroSu3gOKDw0qV68krvWuqdSxzsRWPi858MDPak7tTvKNEa8fZPNu05xX7tROJw85fzGvMdL2DsqMCy9OJ3rvJa/Fr1I0Wc8fKOAvBqv+bww8lQ8k4nyPB4iIT3wzU47LYgBvVuaPLwZUMU6gzPFvNP6rruPc7Q80e+PPC9G6rsp8yg87EipusKr4DwBcTK9EcdfvJ+nsDyr5x+8Aj/OOzuWDDyxd2Q8zpe6vLA64bx9AjU8F2dXvW+3pryxVbO7Nz43vNDUvbu6X/48Z79ZPQPJh7yOJn48DGTrPHKQ4bu9BAo8os2hPJy+wjyCZSk8WVKaPKDks7vwq508bc44PXQ8zDsFQ468k4lyvGnKeDz+qXU89xkxPVs7iDy8elA8dVeePMtxybyaIos8vbfTu2hrxLwiBvs79tytPLAYsLxVHHa8LnhOu7/C8rxetQ48Dk3ZPIJlqbxAJlE8RqQXPH0CNb08w9y7RG7zvLsbHDwoae888ApSPFPUUz0bOTO8aEkTOtexuLwHgJG7l/yZPGsizrzvbpo81RWBPODmiDwTjpy7aGvEu4lk1bkfX6Q8PBCTvGWSCb19k008pGlZvO7kYDz7rgk8dIkCPT8L/zstO8s8LNwWPaqaaTy7Gxw9TaPDOqXYQDy35fe8uk0APVD7GDzyR1U8LP5Hu6GQHjyaZm28hE4XPcRyHT2a1dQ8edzDu6LNoTu9BAo8W8ygvIgFITv+ZZO7C+OFPKbjXzwIreE7UShpvBDXErt7GUe755j+O8UeCL1GpBc7tM+5vNjMCrw8oas6F9a+vLxYHz16S6u76V+7u0ZXYb33O2K8WeMyu9Fw9Twh2ao8pbYPPKH/hTzu5OA3RfisOay1uzupqhy8BJcjvXuq37y1DD07e/cVvHQaGzzLAmK9WBWXvCCcp7zgKmu85pj+vDjqobyHNwW8j1GDvCjY1jseRNK7FzVzPGPWa7xgUUa9SR4euS2qsjxVTlo8cv/Iu4Wty7za+dq7B99FvDBhPD0iFi69BAaLvHxWSjySmaU8vvRWOp/J4Tt/6yI9NTOYOxm/LL3w7/8836kFu4oQwDybgb886V87PIqhWLxSdR+8dAroPOB3oTuuL0K87yFkvNxRMD2qeLi6pzCWvayTCjwcmGe82MwKPUz32DwBcbK5ekuru2JcZby3hkO6UPsYPGdQ8rwQaCs8SsoIvUkeHjsneSI74OaIO+5TyD2A22+84Crru/x8JT2FHDM9KjCsvFOyIrw7ZCg82kaRvNLf3Ly45Xe7oMKCvH4dBzuQjgY7lr8WPHfz1btQ+5i9f+sivHXGBT2v2yw8xR6IvPyeVrzHur84U0M7ve5TyLwvJDk6qLH7OxTLH73gKms8KuP1PNTq+zyOBE08VO8lPHQK6DxRp4O8godau/LooDzEAza7YOLevK86YTw0qV68Wn9qPNTIyjz4VrS8gxEUPUbGyDwKpoK7SOEaPIEoJrsgvlg8kI6GOobqTrwK+hc8Xte/vLmR4rsIvZS8txfcu1Adyjw2ATQ9kB+fOyd5IrxtX9G8kQ/svKQKJTwQ15I8+2HTu9Jw9bvVFQG82zbeuyH72zvR7488x7q/PDzTDzxiXGW7t4bDuQcB97ycvsK8OhfyPC+TIL3a1yk9Vb3BO5pm7bw6JyW9lx7LvJHLCbwtGZq8obLPOscZ9LogLcA7cBbbuwzTUrwEuVS8AXEyPQ7e8TveH8w862paO07gxrtVTlq8ZFUGO1gVF71wp/M8ixtfPOgAhzvMrsw8gSimPGKpG7yeWnq7tK2IvIruDr3s2cG8t2SSvNCyDDyFPmQ7WVIaPAkcyTyK7g69KeN1vASXIz3oAIc8Q+0NvVOi7zye2ZS8Ucm0vP0oELxbOwi9UnUfuy8kuTu7rDQ9IJynuzT2lDslbgM86ZEfPF0JpDuASle77EgpvCxtr7t+Pzg8UTicPOXaFbxsMgE87lNIvOgAh7xawYE8y08YvMYO1bv1DpI8KeN1vLmhlbzMrkw8OUnWPAI/TjyHN4W8Ah2dPMmIWzyAWgq9CL2UvIMRlLy6bzG7wUysO2hrRLzreo27/zMvvFJ1n7z5xZu8uDKuO/O2PD3Gn228ENcSvegAhzw0qd48XxTDvC0ZGr34VjQ8EnNKOy8kuTv9KBA8ywLiPCAtQDz1DhK8+pO3O+t6Db3NfOi8sQh9vPOUCz2C9sE6zpc6OeaYfjwZUMW72QmOvCd5orzU6vu5wH4QPbpf/rx8eHs8bT0gO1YsqbxyIXq8Nz43ve/dAb3EJec8kQ9su2ZgJb15/nS8IhauvLLEmrsRWPg8vbfTvMqTerstqjK91QXOvCfoCb0f8Ly8kX7TPP3b2TypGQQ9jiZ+O2hJk71bmjw84y4rPD9YtTwneaK8hD7ku1Sib7siBns8w8Yyuk9PLjxM91i858ODu1s7CD0IgBE8gZcNPYMBYTzVFYG5+bXoPEE2hDvNfOi6jib+Oxqv+TzaRhG9TuDGvGEfYrzkHvi5I3XiPPk0g7yx5su8mMq1PIKH2rxNo8M8z/ZuvF+DKjzaaMK88uigPDgM0zwotiW70/quPCtd/LveH0y9KRVavDGeP7ztp1085J2SvPMlpDzigsC7fHh7vJzg87zv/7K7Ga95PNJOxLy16gs96fDTvCrjdb13Yj28Laqyu9ulxTz/My+8j+Kbu4PEXbzbFK28C+MFPQqmAjzZTXC8TnHfvMgpp7zFHog8OielPO//srj7rok8MGG8PAt0Hj0KyDO8iUKkPPZtxjscF4K87/+yvLZ7JDyVr2O82CAgPME8+TzwXuc8KGnvu5EP7Lx+HYe7wTx5vENuc7wn6Am5a8OZu0mNBbtvt6Y8Nt8CvfBe57wPmg+947/DvGKpm7weszm8B4ARuoXPfDxg4t67KjAsPAVlPz3fbAK9LTtLPDoX8rre/Zo8BjPbOjDQozyFHDM8bG+EPB8S7ryIBSE8YY5JvKBTmzy3F9y8/A2+OycKO7wrj2A7/8THuwVDjjsElyM641DcPEAm0bsueM48HiIhvelfuzxkGAO8PW/HPBA2Rzwa/C+74SMMvAYzW7wQmg+8um8xPNTqe7xGxsg7wH6QuwkcybwKpoK8CjcbPdIsE7xrIk65iysSvTzD3Lsd5Z28PqxKPOtq2rzNyZ68PDJEPChpbzxbf2q7B3Deupy+Qjzjv8M7xUA5vdHvjzwotiW9YHP3OzXEsLybgb+8tPFqO5xPW7vUN7I8U0M7vZIqPrzthaw7GVBFvDEvWD3mmH68c6AUvfnFmzzEJec843D7u6PyzjxcuiW93OcPPNpygrxgSey6MYQoPGNkGLwb4SQ8BbmJvLmFyDxsvWW84NEqvYiFxDyiyIs9SEHlPOORgrwR4rg8TPGyuso+MT1ZwIC8REdAPDuDFDxh74q7I4sXvXcnMD3/7gK7CThGO1A2oj0vpLy74WbMu7uP97z8Lis8zs33uxSikDx3Yf08nP4EvcFJdLxSqy+8AZ7dvAY+ITtetEq9lVSSvPTvlrykd+Y7Nz6lvLmFyDzBWX68P9iNuuoqeD2PmpW746EMPbkKYLwgFoo9PiJlvYmP87xskyK9PEJ5PML/nDq+9Hq78dRqPQFkkDyXbku9uQrgu2oOi7td5Og7K7qhvMweHT2Fix+95vaFvCFATT3q4CA9v+Rwvco+MTmZmQG9zf6IPDlYXjzvFYa808iPvGSO2zm+X1k89RlavcUJTL1hOWK8PHMKvN9MEzx7Ecu8Yt8APO+6MTuGa4u8WHU2PaR35ju1xfC8u2U0vdTy0jx17G+83dcFvTuTnjwaTAM8HutTPJmZgT3709a65vYFvC8PGzyEMEs920HxPApSf7yTdKa7rkwPvQW5ibxbyq+99RnaPPyZiTs+6Jc8zaM0u1eFQD15nL27msPEPMCKjzsz2aE8gLEOPYtFHL3QYww81i0TvJH/mDuu4bC8bmMEPQwIqDz3nnG8BU4rPW1zDj0lOnK8pkdIu91sp7wBrue8FKKQu9Hoo7x2opg6aKmHO2iphz32zwK7DAgovU12yjsQTZe7ZdmlPESynj3xipM8KUUUPTxzir1aRRi94zauvLQGDLxFJyw8wu8SOwjt+zw0E++7tcXwvFnAgLmMNRK9j9TiPNcdCb2DUF+84lbCO8PvEj2QegG98noJPQjt+zvne526CFhavbjwprz1hLi8U9XyvKJttzy3a4+8UkDRvHaimDy4WwW8dC2LvRNHvDzZzGM7cBJfPTPZITzR+C08dVfOvOil4DxFzFe6f/vlvKJdrTwi1e48cNgRPfh+3TqKn308ctI2PJX5PTzdfLE8Yr55vP84Wj07k548ivrRPBPs5zzV0r48BMmTPXkHHD1tGDq83oZgOnxcFT1Esh49t2sPPfSUwrxRuzm94At4Pe1FpLzvFYY6h/AivIllML1tGDq8PuiXPMUJTDvEGda8By6XPbjwprzepnQ9Tla2vH48Abt2N7o8zs13vOgQP7tUID29J3UyPFDbzTzRMns97yUQvf7+jL3809a8grs9PKbs8zz0/yC8v+RwuwLpp7zLWGo8qIKIvJxI3DyVVJI7GgG5OyXwGr3acgI91LgFvcyzPr1Sq6+8HWa8PEI9kT2dkya7oI1LPffZsTyjh3C9S5ZePL5fWTsLrdO8oPgpPapB7bzqGu47CA4DO94BybwNMmu8wyngPDa5Db2BoYQ7C3OGvGs4Tjyec5I8nEhcOzOO17z8Lqs8NESAO4iFRL1vIum7GlwNu+cgST0EXjW8sUY0PHVHxDyvPIU8KPpJPXRnWLug+Km9ClJ/PNRNp7wz2SG8YA8fPZPfhLzm9gU9012xuzfj0DwxGUq734bgvIQwy7wqb1e8mE63O74ljLzRMnu8LOTkPC+kvLoNMus8KI9rPfGKk7zg0ao9bmOEPMTfCLxWOvY8yy4nvdznDzw+Mu85I4uXOo6qnzxjCcS6HNEavTkeET0XnLU7rBHPuhXMU7zpALU81i2TPJIpXL1vjcc8AISkvOM2rjyu0Sa8o/JOvO41mruLRRw8pGfcOlSLG718TAs9v6qjPJAfrbwv/5C6pNK6vLkqdDxJ5wO7plfSvJN0prxtGLq8efeRvE+A+bz3nvG88cTgu39WOryn3Gm92ZKWPAGe3TxEsh6891QaPRsr/LynNz698rRWvE5WNry86ss88JodPd18MT0aTIM9WY9vu5LvjjxxXSk9v6ojPDF0Hr346Ts8OjhKOy1p/LugMvc8PZ3NPEBdJTuAsQ49xo5jPKJtt7x4FyY5F5w1vHqMs7x9htg8LKoXvT/YDbwxvnU9saGIO7p1PjwutEa9sGZIu56t37syZBQ8hqXYu5FJcLyaw0S8AlQGO0gxW70fyz+9MO+GPCdlqLxnXr28M47XPMlOuz29yrc7OjjKPDhoaD0fy7889mQku0esw7y54By9i+pHPTQDZb04aGg8gxYSvUgHGL0qyqs82wekvPGKEz3opeA7zQ6TvI26qTx6jDM9osgLvSoE+TwLvV27TOEovJPfhL1C0jK8o/LOvL3aQb2S7448gcvHPCXwmjwcC2g9MglAvehrkzzxLz+8ZskbO5QJyDxInDk82DdCvQgOA71Y0Ao9RZIKvfMPq7x1R8S7Gyt8PAgOA7zPve26nhg+vax8rTulLQ+95as7PM04Vj2Emym8z4OgPMVkoLxNdkq9q4w3upXZqb13goQ8EIdkPac3Pjy92kE90207vRItgzsbdka9rHwtPbvACD0zVAo9Dn21PFUQMz1a6kM8rNcBveZA3bsVzFM8C73dvM2jtLxFJ6w8i0UcPXJNnzzjoYw8ZUQEvJl4ej198Ta8LWl8PERXyrzUl3486uAgu1aVSr1PgHm9iCpwvSQQrzxIMVu8YoSsvIBGMLwZtm677yWQvMCKj7zUuAU9XtRevIQwyzyNJQi9ftEivYxv3zxAyIM8hSDBvH9mxDx2opg7cvLKOnaSDjxJ5wO81Jd+OwmjJL2+JQy8VaVUvFKbJT1ER0A76VsJPTPZIbxrOM66cH09Peb2BTwcC2g8UgYEvaLICzwtLy+8F5y1PO41Gj25KnQ9QYfoPEnnAzyuhtw8o4fwvBF3WjvH2S08sUa0vGBJ7Dux6988l8kfPMDU5jzAL7u8ruGwvCEGgLw/2A29Wn/lOx9wazpN0R49v09PvJ+dVbsHwzg9PBg2PfkTfzxOZkA8azhOvK6G3DwtxFA85RaaPAndcbuvC3S9kLTOvIdbgTztyju8HVayPEU3Nrw1yRe9uPAmvXwBwTy54Jw8E7IavCMgObxro6y8HBtyPbBWvrxO+2E8XU/HPDy9YbzjoQy9o02jvbngHD3MHh29PEJ5POcgSbwMCCi9Z169O3Qdgbw7zWu9mw4Pvfk0Bj1+PAG8LWn8PL70+rrE34i89YQ4vDCUsrv5NIa6UuV8PC//kDvvJRA9Cs3nOypv1zzj29m8Q/x1PM9zFroYxvi7XaqbvH/7ZTvALzu78E/TPO7Ku7wJoyQ8USaYPJsOD70WUes8AxPrvNtBcTwTV0Y99O+Wul+0yrvwqie98E9TPFfglLxIBxi9zB6dPFLlfLn8w8w7xXSqvD34ITziRrg75RYaPWLfgDxfxFS8setfvBvhpDvYoqA6rZbmu+NwezoZEUO6GWyXvARuP7zFrve7WArYvISbqbtKbBs8sGbIO1eFQD3pWwm9xQlMPIHb0bv4A3W7qyFZvC1p/DxQcO88GpZavRvhJLxwEt88NQPlOyGboT17tva7OC4bPCdlKDsc0Rq9ffE2vAgeDbyx6188gwYIPHhRczvepvS8jDWSPEaCAL3cfDG81Jd+vA2Nv7zXV1Y8+NmxuK920jsOl248r3bSOxpcDT2ZqYs8CThGPTG+9bxAp/y8FgeUvJZEiDyYXkE7BYj4OucgSTxEV0q9SSFRO5PfhLzQCDg9RSesvMAvOzuxsZI8eucHvYcArTy0qzc9pkfIvItFHLtZ+k29hqXYOv5IZLxO++G8AQm8vQL5sbx8AcG81eJIvEaCAL3ikQK8plfSvNEye7yBy0c9juTsO4YQN7sAhKS8FScoPNHoIz1aRZi8jy83vSLVbjz+/oy8wJqZvK6GXLrgC/i7SAcYPSslgDxC0jK90J1ZvOUWGj0QTRe9prImO4w1EruWRIi8oPipPIvqx7y82kG8QU2bPNNtO7xk+Tm90TL7PMG0UjsyZBQ9IasrPGOeZTwWUWs8YZQ2vEWiFL0Rd1o79CnkPJfJH7yRSXA7o/LOu6NNI73U8tI8tTBPvPkTfzxetMq8lkQIuEHyxjvPc5Y47sq7OhLCJLvJuRk8lAlIu8g0ArwSLQO7lY5fvPs+tTyZaHC8AvkxO8lexbu+uq265CYkvWdevbz8w8w8u8CIO1IWjrrAL7u8b41HPQut07xsgxi7+k6/Of842juvPAU8a0hYPNv3GbwKk5q89d+MvNsHpDxtc4686vCqvAQDYbusbCO9PjJvPFDbTbxIB5i5LcRQPEj3jTy7wIi7VaXUu5ouI7xXGuK9/R4hPH48gbyozN+8tsVwO0P8dTyY8+K8lVQSPM1IYLxi3wC8d7zRO4rAhDzZzGM8s8vLPFwlhD0SwiQ8aWjsuzJklLzm9gW9om23PImPc7yc/oQ8J9AGve5v57zmMNO83/E+vB7rU7xInLm8fKbsPDF0Hr1sg5g8aONUPGUj/bwfNh68ZI5buwizLr3elmq8v09PPFjQCj2OmhU911fWu3FtM7xyl3Y8XoqHu5tYZrxZ+k08D10hvXt8qTwt1No858X0vB6xhjycONI8plfSPERXyrxSUNu7o/LOPHDYEb1Z+k28eoyzvB1WsryCu728N+PQvKJtNzv0/6C7vvT6u4t/6TsiMMO8JYW8u4rAhDyBoYS8QYfoutcdCbyZ49g8aKmHPFIWDr1595G8meNYOkAC0Ty+X9m7viUMvb5f2TtSQFG6i39pPZWOX7y5hci7fJZiPEDIA7z46bs8vTWWOnFdqTz5E/876hruvM+DoLz46bu8uACxvLHr3zyg+Cm9/zjaO9Ntu7wvpDw8qzFjOwgejTxWACm8gmBpvPHUaryDFhI9v+RwvMOUPjoTsho6f8GYO0Nn1Lvf8T68wv8cPQ7YiTwaXI28ruGwPCoEeT3BH7E6FWH1vP7+jLxr/gA5ku+Ou6ZHyDuKn328QF2lvC1pfDxhKdg6WGUsPDsowLx3YX28E0c8Ou2wgrr3+UW79RnavJzd/TlvjUe9ag4LvJhON715Bxy9bRi6vPpOP70+jUM811dWPRectTxiGU67SJy5vAgOAzwfNp68DtgJvYmffTr0/6A8GWyXPNBjDDsbhtA6a/6APOb2BT3j21m9+H5dvKJdLTzYN0K8NV45PD7olzzm9gU90Ai4vPA/ybws5OS63Iw7vbJwd7xnuZG8wVl+uxHSrrug6B89/MNMPY6qH72ozN884NEqPaNNo7w1Xjk8uPAmPRiMqzzbnEU8u2W0PJB6gbwitVo88cRgPZsOjzxOwRS8/R6hOwW5iTx/++U8vl/ZPLQGDD1ivvk80Y3POrJw9zpuY4Q8B8M4vBm27jhPoQA9RrzNPGOub71lE/O7cciHvCdlqLw/fTm8d4IEPSFAzTs5s7I7Q/x1PJ2TJr1Fkoq8uYXIvEP8dTt+C3A68OT0OhuGUD0fy7+8/C6rPE5mQLwWBxS745ECPX52zrzFnm08BbmJPCXwGjwuxNA5wJoZPMZUljzALzs8g1DfvKsh2bzf4TQ8hrVivA4S1zthlDa8QU2bu/OkzDsObSs9nwg0PIkKXDvpALU8+k4/vCfQBj2UZBy95au7PH9mxDvVd2o7EPJCvK6G3DuEm6m8DPgdPXe8UT1BTZs8lK7zO+aLJzylLY88HAtovKaypruc/oQ8MO+GPPGKEzvRMvu7n2MIvDPpq7zdpvQ7C3MGPD99ubykd+a8lkSIvKfcabz4ft07FJKGvAz4HT0YpmS7qJKSPI/U4rzC/5y8yfNmPGUT8zzq4KA8SwG9PK2m8LtFkoo7zLM+PB6A9Tv46bu7tTBPvUj3Db1qDos8oOgfvF8fqTyv0Sa9MYSovA+X7jobhlC8lGQcvDjTxrowvnW8z3MWOh1WMjwFTiu9MO8GPInQjrwallq9GCFNvHWyojwtaXw88w8rvROyGr1Ruzk7IpshvFY69jwoj+u7XeTou3PStjyzYO08ol0tvJVUkjw408Y8pR2Fu6zXgbynJzQ9EIfkOg0i4Tx+0SI9VMXouSl/YbxcuqW8qvcVPEZRbzsfNp68acPAuxBNFz0M+J07zUhgvdjc7Tz5btO7Nk4vPa7hMDwTR7w7KyWAuNAIOLyCuz08CFjaO3N34ryyNqq7RLIevYE2Jjzm9gU8C61Tu3sRyz3Lw0i8PuiXO8yzPj2vdtI81sI0vAW5iby4ALE7I4uXvG8iabzhwSC8kLTOO9tBcbzdEdM7g6uzPGGELLxDwqi99O+WvHn3ETxsg5g7kB+tu9wx57yW6bM79nQuvZduy7yHlU687jWaOp6DHL02Tq87plfSPAY+oTw8c4o8Ao5TPDQT7zzfhmA8qIIIvBHiuDwvSWi8BYj4vIBGMDxbyi+89YS4O5locDw0A2W8pHdmPI5PSzvne5075QaQPI+Ki7uThDA8T6GAvNAIuLyVVBK7CoMQu6vnCzzCDye8kHqBvAjt+zyMb189DSJhPDXJlzx4UfM7Y57lvBXMUzwzVAo9LWn8OwQD4bzPcxY7I3uNOlUQszzr0Ba75tX+PIw1kjzEGVY6TdGeO1/EVLzXsio8sqGIPJH/GL0RPQ091dK+u73aQb2wwZy8y8NIvEwbdrz2ZKS8oDJ3vGTpr7u7+tW4l8kfvDREgLuLRZy7zQ4TPbelXDzINII8DeiTO/TvFjy7wAi9pexzO3rnB71TMEc8v09PPK/76Ts0RIA8MCnUPB6Q/7qj8k686KXgu6920ryZePq7RdzhvK7hMDzZkha93gFJPGoOizyZPi29pzc+PGbJGz1idCK7hNV2vfBP0zxXKmy8Po1Dvdx8Mbw5szK8LcRQvBf3ibtI9w09MYSovJB6Abxo41Q7l8mfPBItgzwCjlM6g6szuyQQr7t/69u6Dpfuu/ZkJLrS2Bm8O4MUudoXrrxXhcA8yG7PvK0BRTxAp/y4IBaKO99Mk7zBWf64jfT2PLUwz7vXHYm8T6EAPDR+Tbx4Fya98dTqvNIS57wVJ6g8/yhQO8L/nLzD75K84At4vDuDlLztf/G8M45XO7Hr3zzwqie8957xvE0LbDwmhbw84NGqvEDIg7z5yac7aKmHu6u2erwJ3XE8bzLzPIqf/Tqeg5y8HzYePJKUurz0KWS9qyFZvC4fpTz+/oy7Wto5PMd+WTxCd167d2F9vHB9vbx23OU8O4OUPCyql7yqQW08DJ1Jux82HrppLh+8djc6vcfZrbyevWk7BtNCu1pFGL2RD6O82DdCvEWSirw1Xrk8SmwbvdNdMbw2Ti+9fFwVvUtcEb3epnS7+ESQPCiP6zzIA/E8vNrBOYqffb02uY08QeI8PAjt+zyNuqm8Yt+AvCfQhrwrJQA51eLIuzA53jrV4kg577qxu2dOMzyrIVm8t6XcPE0LbLuEMEu8pS2PPG0YujuThDC8PegXPI6qnzwm4JC8RZIKvQEJPDwdZjw8Qj0RPbUwT7yzJiC82KIgPQPZHbxDwqg6vl9ZvIHbUTyHAK28CTjGPObV/jsKKLw7BtNCPOlbiTsWBxS9NcmXvL3Kt7z8mYm6wVl+vN5cHT0mhbw8kf+YvBecNb1kVA69Z7kROg4S17zU8tI8AHSavOfFdL32z4K8qyFZvAZ47jwYxni8XLqlOyo1irwjxeS8Nk6vPCzkZDxqHhW9XaqbvP/ugryDUN+6bggwPCaFPLpoeHY6dUfEPJPfBD3dbCe7Cs3nPGBJ7Dv+7gK8XCUEvd2mdDwl8Jq8DAiovHeCBDx9htg8WGWsvDwYNr0JKLy8dPz5vO2wgrz6Tj+8BAPhOlnAgDsXMdc8MM7/vOxluLzINAK9QuK8vDP5tbwjixe7tfYBvONw+7ta6sM7uQrgu+UWGj0FiPi7RoIAPTR+zbtqHpU85CakPKx8rTlW8B48M1QKPITV9rzytFY8NW5DvLX2gTwOfTW79s+CPLhbBb3V0r47x35ZvBjGeLs0RAA9E0c8PPnJJ7tyl/Y80TL7vBZR67st1Fq8BfNWPPbPgjzOzfe7PQisvFxf0bxLpui7Vypsu7Gxkrw2Tq+845GCvDy9YbzqKni8wXoFPfau+7xnuZE8aWjsvOrgoLyT3wS9j4qLPJcD7by9b2O8/JmJPAnd8TnX7Pe8ltkpvHEC1TzY3G26aS4fvXN34jwWUeu8JuCQOmyTortXhcC8kjlmPKjMXzunNz48KjUKvXVXzrxxAtW7FDeyvGEpWD2PmhW8d4IEvWGELDzIyaM8yZVWPNGsjTzyXhS9m5pCPD2KlTtU11W82IVrvHXzJDwThJi7WVlvPKdWTTztcrK81JBUvHRMHT1vg3U9VX5dvP+noTs/4Vk9wc5iO/ZTqzxAZSc86RPTPOC2p7xcCBK7Eo1NvQkWHTxrjl68q75hPP6NnD3+llG8piLDvEV9+Lzlook87zM/Ol24zjwfs6A89lMrva8DPL3C3zK8qNoavQb0/LfbykW935yiu8AeprxsqOM7NFlZvEvtJz2Fk/Y7VVsjPN+lVz2Z0IC8QfIpPNCSiLxILJs9mfxvvU47N704njO94UMqPAiJmjwPHIQ7/z1ZPcWXCj0fsyC9WtQHvZUh3jxrhak8sIeJPETNOz102R+9zusAujKPlz3vPHQ9XSIXvafAFTxE1nC9L7SFPNmf8DzYhWs8CIkaO55SGr1fyR48mdAAvaCGJL2ySBa9WS0AvafJSrxozdG7tz2tPPmhujw5Rbs8rn9uPdxOEzzSxhK9+aG6vDD6+TyZ0AC9XbhOvazYZjxcp366xTZ3t3+EWj2Z0AC9WMxsvOYvjDtSo0s9LR/oO/bGqDoKvSS8pjxIveC2JzsETfW9WtSHPKVyBjzEqfQ8aVGfPMhYFz0aVEG8H0lYvHuPQ7xuRjY9Rgr7PCbTDL2EefE8OJ4zvDF1kjrbpwu8J+0RPURAObzC37K8vUOUPAVn+jyGgYy8NmqpvLawqrxqa6S8BoH/uz/h2bw8k8q7pOWDO9mf8DyqDqW8750HvS6jtbwaXfa71cRePEaXfT0evNU81cRePO6vcb1ac/S8kHwKuxtuRjyWruC6G9gOvFey5zzvyfa8xkfHvJTkHjyyUUu9hSD5PH0tFr0yAhW9vncePe/J9jupite86aBVPXuGDryFikE7h5sRvXYNqrxnkBK96iQjvc8FhjyNN7A81TdcvIGVqjwKMCI8UYCRvRZoXzzC6Gc8O+zCPATRwjsDpm28MVsNvQdvlTzn1pM8T+I+vcZQfD00Np88AU8pPXAHw7tEY/M7Mo+XPCvr3bvuGTq81S6nvPouPT3Hy5Q8G+p4uxZfKjwNfrG75PuBPS+0hTywqkO8AMvbPEIMLzwEwPI8MGRCPZsw+rrDbDW9xH2FPRvYjr1CL+k7CaxUPJrqBb0lTz+7WebxPG25Mz1YqTK9KAeXPS2JsLz34K08O+ONvFYLYDsVRSU94dAsPA+yuzySPRe9IeeqO6+Z8zs0zFY9MYf8vOfWk71uPYG8LJLlu4KvrzyxxMg8L1NyuK/6hry1liW7Gl12vA6YtjxjvrU8g8k0u9AfC72VlNs8ZgMQvRJqk71Inxg8hq37PLEukT2GOv672QCEPcBB4DwC/2W9J4NJvPBNRLzGR8e8s2tQPZNg0bwbBP48ecUBvPWso7s6yYi8emwJPXXzJL1Xsmc8qzHfPNiF6zz0tVg8OsmIuvqYBb3/sNY8b8qDPBicab0FREC9cYsQvZ5SGj3QH4s8k1ecPG5Gtjw+MR099TkmPeq6WrsvU3K9r5lzO6Y8yLyXMi680ulMPJ7o0bx1ZqI8bU9rvDyTyrvDY4A81PqcPP892Tww+nm7tIXVPFYCK7vZlrs7ZnaNPTD6+ToFrgg8QYhhPbAdwTs4nrM9cHrAOBgGsrzxcH678XD+vMSGujw0wyG660ddvMHOYjx63wY6yhkkvRSenTxHhZO8Qya0PE+/hLzI5Zm8anTZu0gsG71SDRQ9VGRYvD7HVDl186S8WkcFvdSHnzubMPo8J3qUvO0I6rxsqGM8/FkSPZ3OTLyItRa8sc19vIcolLxXj608GClsvMkI1DzBW+W86IbQO5au4LxvyoM8oaCpPMXD+TtOO7e8VgtgPCXcwTzO9DW8u6VBPKxCr7zpE9O8GlRBvX5qVbwkNbo8KAcXPYYODz1fX1Y9rWXpvNmWu7zS6Uw98CoKPLEuEb0FZ/o7v5Eju8Lo5zq6GD85+iWIPNT6nLxlXIg8lSHeO64Mcby8TEm8T0wHvJ04Fb0/vh89AU8pve6DAjuyu5M9mG9tPEGI4TtMBy29DGSsOfSSHrx/YSA8gZUqu5lmODs5Rbs8hg4PvRgpbL3FNne959YTPaEtrLwv4HS8NmopPHMymD3VLqc8skiWu16vGT1Vft08cJ36O6TlA70dFc68ZekKPTb3K70+x9Q5fVBQvT0XGL3uIu87czKYO7loAj0TERu9ZplHPF/JHjxnHRU983iZvJNXHD2HmxE8tZalvDz9Er3/sNa8T1W8u5rqBb1EQDk9VphiPSviKDyKf1g9eVIEvfkUuLzo8Bi8/GLHOrHN/Tymr8U7e49Dvbn+Ob0SAEs819WuvCZpRL0dDJm66z6oPMXD+bsDpm08M6kcvYG4ZLyZ8zq9Tjs3O1yeSTpx/g08KJ1OvEIv6bs5IoG8rLWsOyHnqr2F/T49aEDPPDVQJLxePBw95ThBvaczkzzs7mS9IXQtPYatezwIkk898oHOPAWuiD2Izxu8cSr9vF24zruNNzA9Pa1PO2V/wryS0867hHC8vM8FhjzUh5+6m738PCQshT0xdZK8k+3TPE2utLtFffi6w2MAu+88dL1fVqG9q5snvZB8Crw7eUW7FbiivC45bbyHvss82Hy2vPQoVrxlXAg87oMCvVx7Dzxns8y8MX5HvB6Zmzz8Yse5Q7xru6mKVzwlRgo9/eYUvDlFOzw3hK68e4YOvEg10Lyudjm9tiOovMU29zya6gW9IXQtPGNLODzGR0c8yOUZPMR9BbowQYg76pcgvT/h2TurvuE7rgzxPLGhjjzPmz09Bl5FPTD6+TmDybQ8aKoXvVINFLzZAIS77zO/vO1ysjymPEg9E4QYPDHoDz1nHZW8+RQ4vPObU7yvmfO8iwOmPHIYE7x02R8969TfOxTB17zrsSU9vg3WPI/vhzzEqXQ7MRT/vNq5dTyY4mo8Y0s4PXB6wLwFrgi9d7QxvfDje7ybkY28inYjPdP6HLwOmDa9JU8/vV/Jnjz7sgo9LAVjvBVOWrwbbka78l6UPZWLJrtvyoM6k+3TPJI9F7vr1N+87QhqvS457TzaGgm95rwOPPuyiryvkD69rWXpOyb2xrxqAVy9SKhNvEf4ED0Uwdc80sYSPZ8CV7yj1DO8Do+BO9zBkLzi6jG83MGQPCpe27y5aAI90c/HPFBmDD2tZem8iVyeO/s/jbzJlda75RUHvVlZ7ztGCnu8P+FZPFEWSbwOJbm8YOMjPII8Mr3vprw8VX5dvB4mnjz9fEw9at6hPGyo47zT4Be9wcUtPC6aALyj1LO82ZY7Pe8zv7xEQLk7FvVhvEMmNLqU5J47rVy0PCb2xrzoYxa8AMImvOQevLouxm+8mzD6PO4ZOjxTJ5m7Y0u4vLy2kbzT4Be9anRZvKubp7xQb0E8Ga05PH/3Vz3Jlda8ZNg6PcBB4DtbGvw7mOLquu8zvzxmmUc9MegPvUBuXLwfSdg4HRXOPLCHiT0trGo8MPp5O4+FvzxBiOG8xPCCvHRv17o5uLg7lzIuNykhnDrTA9K8L7SFPMh70bzHy5Q7DQu0O9fVrrxl6Qq8BoH/u/Wso7pEqgG8D6mGPJnQgDpTJ5k8tO+dPASUA70Dpm28KJ3OOzD6+TqGOn48z3iDO1ePrTnbNI69HPKTvJY747yHmxE91IefujyTSjyF9Ik7ZM+FuU/iPjz34C09ZgzFO2jNUbpRFkm9PJPKu652ubwHBc28fbqYvY5RtbxmmUe9TActvNQUorydOJW8MX7HvJ51VLp9UNA8ADWkvKubp7yu6Ta8ZGW9uxZfKj37sgq9+z8NvSXcwTxSMM67kj2XvDBkwrzuIu87hyiUPIArYjysS+S843e0vNWqWT1YNjW9WS0APNojvjsTERu8pO44PSm3U7wZpIQ7dycvuxvq+Lxtwmi9IxIAPb1mTrx/YaA8cSr9PFXopTttubM7exxGvEm5Hb2pZx098XB+O9ks87vSUxW8QNikvHypSL3daBg8Y741O5qAPTyt8mu8X+zYulO0Gz1oNxq85lJGu1IwzrxYNjW6MEEIPKy1LLxiMbO8lYumu6/6hjzqulq8l1Vou3NV0jrur3G7AdwrvQxkLLxBFeQ8gJ5fum3CaLuDX2y8ButHPa9tBLtBFWQ7GbZuPGwSLLvUhx87MEEIPfbGKLxYzOw7WVlvPBbSpztv7T28amukvMFbZbwYnOm89JIeu6ubpzvI5Zm7HQwZPElGoDzwwMG8cJ16vFynfrzQkoi9SUYgPWreIby6gge9dG9XvJ9snzwYk7S8b4P1O+oko7c7eUW9KAcXPG+D9TyZXYM81/hoPCtVJj0EKrs8IeeqO/1zF70ANSS9iwOmPEDYpLyUeta7HiaevFjM7Lzy65a8VgtgvB2i0DvU+py82Za7PMjlGb2/J1s5MPr5O0HyKb27nIy8okcxvJuRDb0OmLa8DPGuPBrHvjxXjy09BTsLurjktDpwesA80unMu7LeTbzVqtk7MG13vNxOkzyfAtc7F4LkvL8n2zxMB608/FkSPQgfUrtsqOM6hWcHPejwGLxnHRW8j2s6PFm6Arw5RTu9kj0XvITahDzT4Bc81aGkvMQTPTzO6wC8WgB3vMU2dzyfj9k7nLRHOj46UrvPmz09PHCQvLlxN71lXAg7LPytPHv5Cz0avom7sS4Rvex7ZzvPBQY81IcfPYX9vrtGa468krCUPP+nobyrKKo8Y7WAPINf7DxZuoI7FdvcvHPIT7qrMV+8lzIuvSSfAj3EE727f/dXvDBtd7mGgQy8cSp9PHeaLDyY4uo7IFoovJjiartENwQ9JU8/vKlnHTxsNWa70saSPO8QBTvIe1G8lq7gPM8FBrtUZNi8qE2YPBicaT3Vqlk8P76fvBpUwbz0tdg83XFNvA6YNj1q3iG8EgDLvK52uTzHPpK8ZnYNPX9hILoBcuO8cJ16vIny1bz6uz+6L1PyvDvsQrsbbsa8/MyPvJ3FF71B8qm81IcfvBbSp7wX7Ky6MEEIPZLTzjyXv7A7kSMSvXnFATwWX6o7IM2lvC9KPbuqF1o8tiMoPVnDNzyF9Im8KAcXu9QdVz3wVvm8xt1+vAVEwDu6gge9bKjjPO1yMjwYKew712IxvR6Zm7wjEoC7axvhvGnnVrwr4qi8rfJrvCZgD7xtwmg9C0onPZxKf7xkQgM8X1YhPby/xrzUFKK7+7IKPW5pcDwF2nc7Q7zrPKjamrwnEEw8gkVnPVm6Ajuv+ga9PjpSPJji6jzsYWI8mWa4POJdLzyJz5s7trCqPFsafLxTvVA7HPvIvLsyxLywhwk77GFiPHVmIr3X+Gg8RKqBvCQsBb2DVje8rc8xPbsyxLymppC7FoJkPCkhHL1duE48ScJSvBzyk7s0Nh88+iUIPAfiEj0nepS8nujRPMAeJr0B5WC7bU9rPMoZpLydW0+8wKuoPHIYk7urMd883oIdPFKaFjyuDHE8+0jCvETNO73O64A8Ba6IvBt3+zuBuOQ6hHA8PFthCrzc7X88b1cGOHTiVLgDGes8mfzvu5lmuDzGusS8wTirPDMcGjxR8w48nEp/vL3Zy7oa0PO8Ka4ePYX9Pj1g/Sg9W415vE/ivjxzyM87a47eOrNr0DutZek6Mo+XPMLo5zy0Eti8b8qDuxOEGL1ac3Q8aKoXPJp3iLzrR128BNFCvKoOJbxA+948iumgO9zBED0yAhU7xKl0PA4lOb09F5i8gBFdO3B6QDwTp1I8mG/tO7K7EzztCGq8bcLoPOl9mzyJ8lW8e49DvTmvA7371UQ8SUYgvDDXPzxOMoK8Rt4LvSF0rTnc7f+8pYyLvAd4yju7D4q8ADWkvJNXHLuk5YM660ddPLHN/bzSU5W8hWcHOl6vmTwXD+e78OP7vB0MGb3se2e72Qm5vJyrEj0AWF66W4TEvCrR2DwKMCI9sc39vKqkXDymIkM8Cr0kPLWWpbzcwRA9TAetuvBW+TyWruA8W2EKu1Xx2rklT7+8QqJmPL6AU7zujLe8Qya0un7UHT09Fxg819UuvVktAD1ozdG6hE0CPcTwAjzaRvi73oKdvEDYpLzPDjs82rDAvJhMs7yws3g7FmjfvMjlmTzGUHw88OP7O1ePrT3cwZA8ncWXvEV9+DyyUUs852zLuimunrye35w8XBFHu1wIEr3VN9y7XbhOu8NjADyD7G6728rFuVKjS7zyXpS9Wxp8vJcyrjunyUq822B9O1pzdLzk+wE8u5wMveq62rxvYDu89lOrPIAR3bwm9sY8NvcrPXlbOT0tH2g8HPvIPKK6rjymppC7SU9VvLawKrxyGJO86PCYvAbIDTxhiqu7ruk2PJEsRzzPDru8mOJqPaX/iDpmdg08vuobPBrQ87uVlFs8g1a3u9fVrrwoKtG77xCFvMh7UTwEM3C8p8CVu5X+ozyUB1k9chiTOaqk3DvfD6C7sS4RvcFb5TqD7O48bJ+uu9qwQLzUh587xBxyOdlzATxTtBs82Z9wPJX+Izzw43u7oaCputE5EL2Y4uo79LXYPPl+AL1WAis9Fw/nu8bd/rxLeiq9EVCOu8lynLz8zI+8doAnvDt5xbqagD09pzOTO0Rjc7wVRSW8Bl5FPJyrkjsZQ3E8xrGPO9s0jjwmYA+90JIIPL53Hr00Np8826cLPERAOTzwTUQ8OtK9PKEtLDtJwlK8qzFfvB6ZG72K6SC8xH0FvYARXTwxfse86z6oPADLWzwJrFS9sLN4PAbIjTwHBc066RNTvUXnwDxK0yK8j4W/vGXpCrjsWK28xKn0vJJGTD0JrNQ8mhZ1vJ04FbxsEqw7dfMkPTVQpDsolJk7nLTHu2v4JrwDGes77oOCPB+zIDsDnbi8d7SxvJsw+jpac3S81t5jvJu9fLv4h7W7f4RaOzrJiLxrjl67qhfaPJhMs7lsn668iLUWPC+9OjwV29y8V7JnvEcby7wZIDe8R4WTOwcFzbwS9xW7NMzWu4at+7xBf6y8sLN4ujEU/zwluQc8gbhkvPKBTjuxLhE9vyfbvNf46LyAnl88+9XEu0TNu7xF58A8BCo7u29guzttT+u8kHyKvO+dB70Sjc28c78auy7G77rx2sY6UYCRPFthijxfViG8qyiqvG7c7byBuGS6+ru/PEeOSLyxN0Y8a4WpvCTCPDw5Rbu8JU8/vTTDobut8us8a45evJAJDb1gcKa8zuuAuzwGSLuPazo87GFivIp/2Lx5Wzm9qE2YOn/uIr3VLie82zQOPOiGUDxu07g8xiQNPKUIPr30H6E87zM/PF48nDzKjKG8yzOpvMFb5bzauXW7H7MgvCMbtTxu3G08OSKBOwkWnTtwcYu8QYhhPVD8wzoBT6m7/eYUvMQccjwOJTk8kbnJPK/6hjqEefG8RVo+vXaAJ7wE0UK84uqxPCyS5TwfQKM77f+0PD6kmrziXa+78CqKvE9Mh7pwnfq8dOLUPPoliDx3tLG8o9SzPEXwdbuWpSu9O1aLvBiTtLy9XZk7GwT+uh+zID30tVg8BlUQO51bT73LM6m8JdzBuxtLDL2pite7VpjivIARXb3tCOq8BJSDvIG45DzVN9y8vCkPPQMZ67jTA1K8jcSyPD0gTTlDvGu8PAZIPJI9F7u/mlg8GbZuPP6NnDuT7VM8Gr6JPMUtwjxYqbK5nTgVPeq6Wjx4QbS7hjp+uy0faDxjvjU7hHlxu2YMxbuudjk8PReYvF48nLzvyXa8skgWvKubpzuk5YO8sLN4PNHPRzxILJs8zwUGvYYOD7w74w290lOVuwiJmjqVIV48qHBSu1nm8ToZtm67Q7M2vDtWCz1WdSi7VfHaPCiUmTxeRdE8hOO5O+l9m7zpE9M8tZalukV9+LxKYKW7EDYJPHRMnTxILBs8zw67O8OP77uC0uk7UG/BvMJ16ryvAzw8xiQNPAODs7jjdzQ9zoG4O++dh7uY4mq8b1cGPCMSAD3bNI68t8ovOwijn7uqF1q7oaCpue6v8bzAqyi8qzHfu6u+4bww+nm8cBB4PUOzNr0WaN+7w2MAvcNjgLzdcc28XZUUPGyfLr2p9J+8C9cpPMqMIbr870m8MGTCvEVavjxbGnw8vwQhvS7Gbzxb7gy9oBMnvJxKf7wavom8Y7WAPBgGsrvD+bc8i5AovTpfQLy9XZm8Ba6IvLxMST1aAPe7mWa4vPqYhTxDvOs7uKV6PA9KFD2WGgK9qs4MPFwimDyJTRe8RqNKO1emRTu44g68AhMxO5NyIDuYR+a8nmsavUKrIz0YDlM9QxWcvOZ3BjxwUvc8/4QCvLU6rTxXyaY824c6PBe+Db18o4071d4DvZ0BIj0mgx88FaMFPHrYyj3V3oM7DC+MvFkZ7Ly2Dp47IwfNO9d1YLxE6Qw8jqYIvXAmaL1WRXu75neGvZxQEjwUgCS9y5/HuQKgirygmH46ztSCvI8QgT340/S7aT9IvMbTLz280Ye804bnPOriUzxnAV89UQ9rveAnQ72GOz29PPHnO0YW8bq6BkW8h6U1PecxxDzQ+Di9f74VvSS4XDxyfoQ8IiEAPLU6LT2Zhc+8OfASu5QsXj07Wos9968+vZ199jtFUwW9lNyYPEgxeTyLB9U8Rg1DPDLmEb0sua87kD1lvZtQEr3JYV48ZBLmu5TcGL0hTQ+9wlfdPBniQz3VLkm7DsZoPZ7ewLxMrUu9SNiFvDAbTz3ZQKO8SbUkvWoTuTxnG5I82GOEOxcohj0R+yO91IZnvO8yFzzVuyI9QG06PPx7Vjz6KxG8XkZOvcCmTbwvsda9ALJmPBsG+jvaHcI8Nz+DOu47RT07N6q7s29qO81QV7xl3ag8gA5bPCEqrrz+I7g8jdKXvJw2X7z09YC7A1pIPXQvlDsfeZ68fzE8PEqJFT31aCc7w9sIvbU6rbz5VyC8jIuAvMfKAbzwD7Y7Q3+UudOGZz3V3oM8d0ocva1TDb0kcUW9KZ6nvM7Ugj280Qc95l3TO5Yagr1D++i8wYPsO1gZbDsXKIa8cocyO+ek6jxScLW84ogNvR2uW7q36zy9PTj/PEEn+LwV0Om8rr0FOwUlCzwJFIS8FDkNPbFLtDtPVa08MYVHvX5dy7yyKNO75aMVvRFuyjwCoIo8Tuu0vAn60Ducuoo30325vcgRGbzNago9SEusPLRD2zw7Hfe7nz8LvZb3ID2EZ8w70bL2vA3y9zx4tJQ8AGKhPAS7kjzgJ0M8SbWkPBJCuztWRXs7bpi5vHLxKj2AkgY9RH8UvKzywjwjEHs8ektxPQVRmjy3eJa7kTS3PKzyQjuZnwI6b2wqPT8Dwrq5nEy9ZQCKPeu2RL0oNK86//coO0VThby6cL28/2rPPMQioDwzugK99tKfPTnWX7zb8TI9tG9qvIuUrrwc2mo8tTotvEMVnDzRYjG9iAaAPN0vnLwk2z09mmLuvFNnh7051t+77tFMu9qqmzxXVgC8nOaZu8A81bye3kA8jxABvfVFRjy9GB88DDg6PFX+47zcZFk8/JUJvYEFrb1FU4W8/O58PBjrcT0k/p67nZepPZKerzwfDya9HTu1OsZgibxKHx29pIf3PAdJwbwk0g89UQ9rvEG00bw4Am+81phBPaPEC713U8o8gW8lPUBtujpl3ag8576dPM8kyLwC+f08SpJDPXP6WL1E6Qy9lo0ovUOIQj3UzX48HPSdPFAyzDxuJRM90O8KPf1GGTt3U0q9qjiFPFrBzbzQa1+7XdzVPPXSn7wpEc48YPfdvNHMqby4MtQ80IWSOxTzyjxge4k8VLfMPFNnh7xW7Ac9FPx4PbNv6joTtWE8bwIyPRSJ0jsb/Us9RM9Zu2QS5rylFFE8kisJvZYaAj1lRyE8V1aAvJtZwDzIhD88nt5AvWMsGTyxS7S8UDLMPD3F2Lwqe8a8/O58vInjHr3KqHU9mmLuvPSdZDwFmLG7/931uxSjhTxkEuY7YBERvb2Uc715+ys8p5lRPZ/Vkrwc/cu7POg5u6Yv2ToCoIo8mZ8CvZ0K0DwZ2ZW8dcWbuxwgLbx9Znm8QqsjPI+DJzw2u9e8A/l9OxJlnDwqchi9uKX6PIecB7xg9928CEATvdzxMjxYnRc9nC0xPYnAPT10L5Q91cTQvObqLLywbhU93aJCPNE/0LxnG5I7wYNsvPt7VrjQhZI7sijTPER/lLwSZZw8jE7sO8Azp7ulFFG86XjbvOwgPb2DrQ49RqNKvfT1ALpW0tQ8rVMNPGlI9riobcK8wRBGPO2T47ovsda7wMCAvGmpQLvoKJY8bFEivf6WXr17OZW9/iO4PM8kSLwMWxu8+GBOOzCoqD1c/7Y7wKZNvE9VLT2fSDk5oByqPDnW37x4Jzu9nmsaPbFCBr2hhqI8pqJ/vSTbPb02u1e7UZxEvAITMT2QV5i8YIQ3PAvXb7qtOdo8mYXPvBnZFT3/hAI50VkDu8dGVr1E6Qw7w0WBvJioML2QVxg9R+rhPEjYBTt5iAU9vRifvDQTdjsepa273gONvD+QmzyodnA8N7KpvR8PJr3DRQE98ILcvMPbCL3MLCE8KFeQPHi0lDym3xO7mzZfvfyViby0XY68ye43PPCC3LwxhUc856RquCRoF73Bg+y87YGHO0LXsr2T5UY9ZFl9PKnXurw6xIM8KKdVvU9VrTy36zy9bgtgPca5fDwkRTY9yI1tPFNNVD0WMTS6eoiFvUHXMjzAPNU8OIaavMpPAr1iLJk8tG9qvAe85zxvbKo8UypzPKgDSj3F/768UyrzPDH47TufJVg896aQu3cwab1CHsq9dRVhvSftl7y4TIe8Q/vovLHYjbyl6EE8ZQAKvSaMTbwu3WW8l0dmvNSgmjsu3eW8Fw7TvExDUzwD+X28eLSUvF3c1TyodnA9e6y7u7jiDrtwQBu8DsZovB/18rxIS6y8VzzNvPK3lzsR+yO9rPJCO8S4JzxWXy66D706vNdssrxkWf07c/rYvMxzuDvFjJi8spJLPQvFkzy7TVw9ToG8PGRzsDtiNUc97jtFvQffyLz7njc8SSjLvGVHITpnAV89JoMfun5dSz2eaxq8tqQlvGVHobz1aKe8pi/ZPGzESLuCQxY9Ni5+umYkQLxgewk95DmdPM3D/TwkaJc8574dvWARET2M/iY8Jv/zPHZc+LzpeFu9yWFevRak2js9OP+8XfaIPFX+Y7yEcPq82UAjvSIQ+zz7CLA81wK6vDgCb7x3U0q8KRFOPV32iLvd6AS8vK6mPNdssrs51t+8U0SmvbSJnTwpGvy8qWQUPJS5N7zNagq9ECczPOBKpLw/mUm9e6y7vDg/Az0d0bw7mEfmPB/18rtd9gi9w9sIPFdWgDvD24i8B9aauwmqC7wKZMk87SA9PP4jOD0SzxS98eMmPNFZA7wvy4m84vIFvZp8ITzApk28lbAJPfqnZbz8T8e89PWAu9E/0Lzm6qw8em5SvPzcoDw3JVA9kGDGPFNnB71sN++8I+RrO1dWALz2PJi8660WPR1elrxEXLO8UZOWvP/ddbx3U8o8mDWKPF1pL7uCtrw7eYgFPBuT0zt1orq8PPHnPL5o5DtcCGW71FrYvEsFaryYNQq9WuSuvC9hkbynJiu5YO6vPGFYKD29lPO849jSPFs09LsYb527HAZ6vHusuzz+ll49k+VGvVS3zLxeYIE8ZS3uPMGdnz1Gxis61FpYOjljuTo8C5u80cypOxAEUrvSNiI8S9naup0kAzuAm7S89JQ2PObqLLyWI7A6bS5BvPRxVbxg9127HdE8u82WGbz5V6C8Tzv6O+C9SrtVgg88B7znO3PxKrwMODq8zHM4uxpDDjx5BNq7gkzEu59IuTtmJEC9zQnAuzUT9rzToJo8rwQdPA2ZhDyLIQg7DQyrvBak2jx6ZSQ9kwiovEoF6jz1RUa9/HIoujgC77rhHhW9D1PCvfOUNrm2gUS9RqNKvJ/VEjtdT/y8wytOvIRnTLziiI085zHEvJBp9DooyjY7dQyzO+L7Mz3MfOa8Vf7jvMDAgDztgQe8V6bFvLHYDbrNlhk8WQeQPPxyqDysfxy9Rg3DvOL7Mz1oYim9IiEAvP+EgjtMrcu8rekUPX0NBryhbG882h1Cu3i0lLy72jW9nz+LPNTN/rysf5w8EeHwPJHBkDwWVJU8GHhLvEBturxo7wI9nMO4vLYOnjubYm67EATSvFkZ7LzVxNA8xYwYPGx9MTx5iAW96W8tvD5JBD3EuCc8a/DXufTke7t5blI7VK6euwdJwbm4pXq81AoTvEjhszz/ak+8w1ddvF7cVTrPjsC8XAjlvO7RTLxn+LA8ErXhu6JA4DpCqyO8CmTJPCIQ+zl1DDM7JTwIPDrEg7v+Izg6NJehPLdeY7xgewk8Ha7bPB4yhzxvUne8WuSuvMwAkruAeNO8dDjCO8CmzbvhkTu7dM5JPIOtDj3hmmm8GAUlvJYagrxXyaa9wMAAPaxl6bxQO/q8b1L3O5Zz9TwvPrC7ZObWO0MVnLxTTdS8KKdVPM+X7jxvbKo81qHvuo2vNj26kx484pppu3n7K72cLTG8hIqtPEqSw7zG0y86qkGzu7t5a7zb8bK8vNEHu4lWRTt7QkO7XZW+PMiN7bzXjxM8P5lJPOtDHr0TtWG8Mszeu+GRu7x7QsO8WXEIPbaKcjyBVfI8zQnAvMQioLp8FrQ7+afluznwkrup17o8GyAtvQ3y9zxE6Qy8DuCbvNxk2TykFFE9ZrEZPYRwerzvpb07vmhkPFgQvjv/3fW7qs6MPNxbq7zhkTu838Z4vAIKA7s2SLG79P6uvORCy7sFod+8Czi6vHZceLsaQw48dMWbvLXHBjvlFjw9OxRJuwL5fb310p+7NefmPHBJST1a2wA89WgnvaAcqruSEVa7toryPGcbkrsvYZG8x8qBPCzcELxxqpM80VkDPW8CMj0re8Y79dIfvWDur7vdzlG8toFEvasVJD15blI79OR7O/lXoDu0iZ278k2fu35UnTz7e1a72Lx3u0HXsjvcOMo8eR4NvBLYwjvTCpO71IbnO9zFI7s2u1e7SgXqPDpaiziBb6W8ztQCPf6NMD3m0Hk8Ywm4vLoGxbypSmE7j4OnO1WCDz0iIQC8iOzMvPXSHz0AzBm9zWoKPRC9ujpURCa8SOEzvKeZ0bzuO0U8koT8vNdssju44o68nC2xvGTm1rzQ+Li8J+2Xu6ZSurytXLs82GMEPQ9KFD0V0Gm8dEHwvNQKEzzPG5o7ffPSvLaKcruQVxg9PkkEPRCaWTzcOMq8bDfvO1EP6zwU88q8mMuRvJIRVjogVj29ErXhPDCoKDzFabc8jiJdvbmcTLxkEua7iwfVuziGmrzVoe+7plK6uzljObwrwl09pC6EPauIyrwrwt07QG06PGhIdrx26VE8ofnIPCdgPjyhbG88j/bNPCDJ47v47ac8/MJtPSkrgTtyh7K8E6yzO8JxkDxZ7dw78HmuPHplJLx62Mo8SwVqPIIp47yziR070O+KvCP+nrwAzBk8A/l9PF4j7bzIp6C7Os2xvJIRVrz7e9a7UDv6PFA7+rycuoq73gw7PPzC7bz05Pu7xfYQujnwErwTzxQ8ZwFfPABrTz0EuxK8PH5BPfTk+7z6KxG8eR6NPPXSn7xvbCq8dunRPBT8eDvRzCk8z5fuOw+0DDz0i4g8UQ/rvHplJL2bWcA83MWju+2T47vPjkC8vuwPO0Dg4Ls2u9c8lhoCO93oBLw2axI9B9aavBH7ozyYNQq9AhMxPOwXjzt6ZaQ8bpg5vGw3bzyGyBa9eR4NPXUVYT2T5cY8i3FNPDuhojxEiMI7/P+Buyy5rzurkfi7CaqLPCkafDxFxiu8dRXhOqQuBL0mjM078AaIPIgGgLsAP0C89HFVvATEQLsO4Bs8dnarOvXbzTwQmtk7bMTIO+JuWr1ZBxC8OAJvPCaMTTzc1388sdgNOaShqjlbNHS8jGgfPS9hETz05Hu8P5AbvfxyKL2s8kI6KRFOvPh6gTwH1pq8eCe7vDzxZzy7eWu8UypzvKlkFD0laBe8FlSVujUBGrtUIcW7WQeQPCTk67zBg+y8Uv0Ou8pPgjwEu5K6Z444vfTk+7zfxvg7Bo+DvEUwJD08HXe8OdbfvC2WzjzFnvQ8S9navFGcxDrBEMa5pqL/OnLxqrzoKBY95YniO+ibPDtn+LA8IbcHPCdgvrv1uGy8ZUehPEoF6rwswt28NRP2OrgyVD2/yS48CLM5vbqTHj0CCoO6wXq+PFEpnjw+SYS6yjXPvLWtU7x9DYY7zAASvEzZWrxKH508gJIGvc1qCjymon88ldwYPPHjpj20b2o8RcarvAPnIT3bkOg7yBrHu0ytS7yt6ZQ8cLNBuOmSDr0Qkau7Nz+DuzMtqTyyKNM7lnN1PKQLo7vGjJi9eCe7Ox/1crvsF4+8nz8Luyywgbyrqys7L7FWvaQLo7w4hpq8UZzEPF5gAb0AYiE80bJ2PbNmPD0D8E88EkK7PFEpnjxMIPI7fmZ5u+Anw7z/9yi8LLABvdFisbrXjxO8xXJluyjKtjwiB828xtMvPXdTSjq2F0w7RVMFPJ2Xqbs3sik8XiNtu52XqbxesEa8t15jvJVPv7pZcYg8PHUTvM8kyDytOVo9qkEzPH2ArDv0cdW8iVbFvPCcjzzcOMo8ZHMwPEPyurtP4oY8TV0GvJQsXjw2a5K6zJaZPCDjlrtVgg+8pqL/O6ezBL3q2SW61S5JPK93w7wpKwE9LveYuc1qCr2J4x69ZS3uu9d14LvNCcC7wQeYu9TnsTy367w8+3vWutt+jLu0b2q8efurPC+x1jpg7i88OfCSOxz0nTuW96C7zcP9O3Am6Ly/r3s8K9yQu+6uazwsRgk79HHVO2W6RzwhwLW8tG/qu7y31Lx9H+K8/o0wu/lXoDu3eBa9yk8CPYAojjtO9OK8+NN0PPeMXTsk2708mY79vJtQEj0S2MK7+isRvb/Jrry367y8pKGqO+u2xDz3gy89dlx4POwXD7x1FeE6iOzMPInjHjyFROs7sbWsO5HBELszWbg831NSPI3SF7yLcc28pId3vLyuprxZcQi7dlz4u0zQrLz0cdW7wZ2fOzO6gry0iZ08SEssPNKy9jveAw290VmDOTA1ArsAsua8dMWbvNBr37x8ow28acyhPEvzjbxd3NU78XCAvPAPtrwGjwO9Os2xvFA7+jy+9b27mu/HvLoGRbt2XPg8PkkEvTsd97xmsZk8ALJmO/eDL7zKWLA8xLgnPPAPNjtMIHK72UAjPJ8l2Lzp/Aa9ztQCvFX+YzwXDlM82hSUPKsVpDxcCGW7QxWcvM+xIb0GbCI8HV4WPYCSBrzNUFc8BC45vAxbGzsN8ne8fQ2GvdoUFL2CQ5Y8CtfvvNf5C73rrZa8zrGhvAn6ULvO1IK7D0oUvNWhb7yHnAe92qqbOwrX77xoYqm8F5usPF6wxjyjN7I8FyiGuyFND72YNYo858fLu2XdqDxpP8i7rqPSvK1TDb0UgKQ6c/Gqu29sqjwu3eU7aTYaO4h5Jrs/A8K7cmRRPSYZpzqGMg+7qqsrOvcQiTxM2Vo8r5qkO01dBjxh5QG9c/rYvJ199jvjtfG7HP3LPNDvijxrfTG7t3gWPSHANbwEURo7gA5bu1ZFe7zx46a8pi9ZPI0i3TwJh6q7dlz4O6AcqrwwNYK9v1+2vMbTr7xYGew6c1ujvHP6WD375U48wlddu6V1G70op9W83aLCueZdU73Nw3289P4uveSsQ72F0US83DhKvPzu/DyWGoK8HdE8PHEdOjurOAW8YO6vOpmFz7uZEqk7YHuJusEQxrxRKZ67lbCJPH2ALLteRk67yBGZPCkRzjw3PwO6ALJmPAZsojxePSC8mKiwuzgC7ztGmpw8A4ZXvFX+4zvJYd488slzvCFND7zQa1+6c/pYvDSgzznrv3K8V6bFO8F6vjs1AZo8gQ7bvCDjFrx5iAW8c/pYvIgYXDrUzf48hHD6uyy5rzyhbO+6Gr9ivE7rtDzt9C27TEPTPNTnMTw/JqM8hw8uOv4juLyQYMY8caoTvI6miLyMTuw7LE83PHs5lTwJkFg8FyiGu7hMh7yeUWc8hCA1vDQKyLzVLkk8tPzDO3ZceDpI2AU9Nz+Dutf5C7ztIL27gtmdO9qqGz2eUWe7nSSDvCfTZLzznWQ5TENTvJIR1ry00LS8427auq8Enby8ria7M1AKPWt0A72RwRC8+/8BvbxN3Lwht4e8AdXHPJIR1rxTZ4e8e6w7PNyrcLwtls67jNvFvCTSDz04HCI87WdUvcAzpzyHDy693OiEvC4Ax7p981K82Lz3OiRxRbzEuCc8SSjLvDUBmrySK4m7NtUKvDzoOT1d3NW83DjKvN4DDTwFod87VRtNPGs6CT2b1TS9oa4xPKf5IDzdGxE63oACuy8/HD1jbg29nGNCvDLAqDxtqNy8dbCtvKjDAz2XOI09gseYOTfrXbyKkxQ9hv9OvAgj9zzDXy08r+E3Ovlh4zsZsgy56VsYvUA8BT2rRBA76qBPPKrfnj2aC1K829+7vIZkwLytQPE8YjK4PGT8mjvvNJW7zB4ovSznq7xelRC82987vUpAN7zorVC9wkMSu1Fe67z/Wpq7Cfrau10Q5Ty9r0w7Wq+SOzztdj16dvG7ADvgPF4wHzwbzic9pz5YvbyvzLwbzie9gkJtvM4RJ7vozYq8Hd1BPYkFBz3zqCC9hv/OvGA/uTyRXxC8ks1jO8PtOj2IG2q9pb1LvNDbiT0xO309L9oqvS0s47tdviy9YAPkPCCH6juVbio8LkydvGPAxbtnz1+7O1YHvc9W3ryKDum8pZSvu7Az8LzLuTa8xpfjPEzOxDw5jCS80s6IPUMCybz6Dyu9e9IAvbPHNT3Q2wm9VNYVvW/XsDspRmU8X7GrOs92mD2kBiK96M2KvOzcpLzKpn09AyHePAMhXrx9U423qTFXvZLNY7wESvq9k6THPCHDP7oOZYQ8ku2dvA5FSj0zs6c7+sZUOLits7y63Ac9Lx/iO6kx17z3jh67Nn0KvJlUqDpiMjg81t2iPGVBUrwGUDK8InGHPLEm7zxNwcO8C5uhvNUv27vs3KS8J1NmPNGSM71VO4e8lzgNvOrJaz3/Wpq3EitIvRm77rxVZCO9q01yOzUYmT2fBAk9ofcHPPhuZL13ehC98xqTvJI/1jxls8S8p/mgvNwIWDtPYoo5k/b/vLPHNTxJsim9ltObPIcSiLw4/ha8ccqvPKXdBT02FPq8Jg4vPSr0rLuff927JRuwvF5MurrgcwG8AS5fvPudOD1pwt48Mi58vNiHSzw1pqa7np+Xve34Pzwyd9I7dj67PLjWzzwhmiM7nDomvdwx9DzmA6g8wzYRvXKq9TzGRSs9S6UoPHtp8DyKBYc8RzGdPM5j37r/Y3y8RblyvKVLWT0AO2A86B/DPF4jnjywM/A74maAPS0DRzxWgD68m7X6PECq2DzJ79M8e2lwPXzum7z9kDe9ZNxgPZimYL1S45Y8YB9/PH6YRL3aeko5ny0lPK98xjzPVl68aAu1Peaetry4O0E9lOAcvAzt2bykBiI9eyQ5vDhwCbrYpwW9sR0NPZDaZDyeVkE9HpTrvLjyar3x3r28P+D1Oq03Dz3P6Io6xVKsu4RxwbvY0KE7Lz+cvC4s4zydEYo89imtusFDEr0+t9k8Cxb2vFi8k72FKGu8TAqaPCVgZz3b37u73I2DPa3uODzfgIK9hR+JvADppzsyEuG8NguYPbTwUbxAPIU7DFJLvEwztrxVOwe8ltx9PAU9+bx+pcU8a975Oxm7bjy63Ac9e7LGN/8exTlpJ9A8/EsAPaVL2bwxwCi9ikq+vP1nGz2UwOI6HkKzOyF6abt9U408aXAmPQY9+TpeEGW9927kPPOV57yN64Q8cli9PNnsPLxo6/o7a955vLg7QbwmN8s7/vUoPWT8GjuYpuC8uDtBvIkOaTvLfWE8xHtIPRCBH7sgfog810t2PRNnHbsLmyE92NChuta0Br2ff926m5nfvHKBWTx53wE8g/A0vCdKhDwrWZ48+GWCvfmquTx2sC28d3qQPJLNY7zF4Lm8qMODPHKBWb3D7To9xVKsvJDa5LsBLl+7r1MqvFX/sbsxwCg8VEgIvBn3w7yS7Z07HosJPS4Dx7xEsJC8oCCkO46irjypei08vhQ+OZOkxzzm4+27UyjOvGbvGb2F1jI8eZarO5TA4jxqjMG8YnuOOwSGzzwywKi8mSsMPck4qrw2NLS8rfs5vXd6kLzTPNw8zhEnPZ+7Mj0MCXU9brsVvVMoTjurRJA9f+EaPINVJr1dEOU7ugUkO1HwF7ySzWM8j94DPV8DZLyFHwk9GkAaOS9IfjsWWpy7wL5muydzoLx6dnE8VskUvct9YTuiPD89fuGaPM7VUTzFCVa98xoTPKWUrzmgcly83EStvLyvzDw9ciI9ugUkvThQT70HJxa9lziNPNUv27vaNZO8XpUQPKCbeD2xHQ080UldOWq1XT1+fCk8m5nfu+QQKb2iZdu8ZQX9PANBGL3zjAW8z1ZeveK4uLy63Ie8h8mxvID9NT39R+G8ye/TuBpcNbp/Rgw9nDomvTrR2zx2Z9c5d3qQvKtEEL2awnu8HZiKvKjDA73tQRY9rTcPPRgExTwkZIY8bdF4vNrsvLz92Q087NykvHltDz3XazA8CaiivakxV71RXms77obNu8H6O72gIKQ7EnQePaDkzjwGwqQ6AS5fvSrLEDutYCu9l9x9u2rVFzw8xNo7Tk9RulxZO7wpHUm63hsRvPYprb1t0fg8MM2pPOkSQrqtF1U9XwNkveqgTzwUzA69ryoOPQvEvbhSDDM9+EXIPHtgjj0Nt7w8Lz+cvL7ChbwTZx09Tm+LvFbyML0jbWg8XD2gvFbJlDwaXDW7LrEOPVNRaj1f2kc6xQnWPL2vzLoqHUm8l++2PCdKhL0b6sK9Zs9fvdsI2LzQu0+89wARvQxSy7zUwQc984wFvOe6UbydEYo8mnBDOyjYET2rRJC880OvvGlHijzWWHc8eb/HvDzE2jw6jKQ82yiSu0QCybu+XRS9POSUvFF+Jb3Pf3q8J1PmvIhXvzsicYe8NRiZPDvRWzxlYQw7igFoPJzVNLwMABM7y7k2vWyoXLyPvkm7RLAQPd/FuTwRnTo9KzACPahn9Lvvr+k8yaqcvDgnM7zBbC485DnFvIMsijyNeRI91aHNO+P0DT0lgKG8+Yp/vPcAkTy7kzG92yiSPIIZ0TzcMXQ8ZkHSOtIgwbzJDw49ryoOPVNxpDyA/TW7yYGAvSEMljyoXhI7iko+PdqahLxRfiW9Drc8vY55EjyUwOK8zJn8PB5rz7yIG+q8o1havTYU+riKBYc8Kj0DvTztdryU4Bw6DmWEPX9vKLx3oyw8YAPkPKewyjvVTxW9GqULvRK51TznulG8fnwpPCNt6LsZu+68Wma8PAmMB735in+9VWSjvKOB9jxsyJY8P469PMB5rzqxRqm86M0KPK1gq7oDQRg47UEWPEU+nrwwzak8a2MlPNoV2TxrOgm9tgMLPAgH3LwzBeA6cTwivbWRGDyIG2q8SHbUPD6bPr2HrZa8vsKFPHKq9bzRSd08mKZgvNkVWTs43lw9xeC5uxvqwrw8f6O8nREKPDkHebogfoi8fqXFPCCH6rvDFte7FMwOvZzVNLykL748ZYqoPBqubbxzLyG8wJXKOwRBmLuh94e8lAm5PBaf0zxz5sq70S1CvDhQz7xUUeq8rsUcvLBvxbuff127jIaTPAKzCj1Ho4+8shluPC6xjjyCQm07HmtPu6By3DwBV3s9PH8jvXYVn7vCiEk83qmePJFfkD36Dys7kdGCPEulKDv48w+93DF0vNKSM7yo7J+7OQf5PNrsPLoIjAe8KxBIOy4s47y3/+u6Lx/ivIcSiLyIG2q8m0enuvkcrDvvzyO8Cw2UPM6M+zt1kHM838U5PNYv27ySiKy8wxbXu9QTQDtq/jM7aMJeO/3ZDTw1GJm8P7fZOlSawLzJgYA83jesu9wxdDx5Mbo86PamvGQlNz3jghs9v3mvuxTMjjwQWIO9qpZIPHJYvbwS2Q+9m9W0vcmmfbwyTja9brsVvLrl6bwCswq9P2UhvdWhTbybuZk89DYuPFKnwTprOgm801yWPGdUCz12FR+9YlvUvJ5WQTuYpmC7ZJepvMnv07oO4Ni7tQOLu7mgMjzNY9+8EIGfvMUpED3jRka8FhFGPHdnVzxNeG28pUtZPYX/TjuCx5i7xredPE9iCr22/2u9yYriPFVko7wKNrA85nWaPKc+2Dz9cH06p/kgvA5lBL35YeM8x25HPBF0HrxS45a8wZXKvKQvPr3aUa489ZsfPG/XMDzhjxy9W/TJvBn3wzzYh0s7r1Oqu6VL2bz3jp48t//ruwRdszpMhW68d2dXvLDhNzyx/dK83jesu6GOdzv7xtS8+EVIvfJsy7fzlec8/ZC3O68KVDu+FD68ibwwPX9vqLwrWZ47ZmEMvKz7uTpeTDq6sDPwPDfCQbqgm3g8t/aJPJNSjzviHaq8dbAtu7UMbbsrMAK9QMoSPBfI7zs3FHo8t/9rvPpYAT2PbJG8FNVwvGb4+zteI569vhS+PMKIyby48uq8F+gpO6laczyYpmC8NAVgPFc3aLyrbSy9dHRYPFVkozwESno6KvSsPFeAPj04cAk9ErlVN90bEb0LFna8Ez6BPNEEprw2piY8OmMIvY++ybwMKa87acJevMvi0jo4B3m7v1ATPZAjO73b3zs8AU4ZPV3nyLwLFna8UgwzPI9sEb0tA0e8cfPLPOfj7TxZIQU9wWwuvFcuBryjgfY70iBBvP+Dtrv9R+E8VEiIvULGczxLFxs8PMTavN37VjxPa2w95BApPWimQ7xklyk6Lkj+PI++ybvrwAm8OMJBPJTpfrwukdS8smJEvEbMK7oLFva80S3CvNWhzTtPtMK8xeC5vGf4ezvVoc27dHTYuxKdOry4O0E9m5nfu/hFSL2x1Da8lMDiPCjYET2mdHW7VURpvbfWTzvIgQA7kCM7PevACbxAgby8lW4qPVwdZrxie44885XnPN4X8jyMhpM87LzqvLEmb7xqjEG8cqr1vG8gBz0jUU28LkydvJw6pruoXpK7dj47O72GsDxW8rA88MKivOYsRLveqR49acJevGLp4btfsau8w7HluyyeVbvOESe87NykO2bPX7wheum8VzdoPL7L5zx1kPM8ZU7Tu8XgubycOiY8tCwnOwU9+TxzWD07qVpzvA23vDvbKJK84Y8cPQDAizz/EUS7oUlAvNciWrvJgYA8NEG1vEfoxrqldPW8d8zIvHQiIL0JGhW61rSGvIUfCb3ur+k70zzcPAubIT1cy62728MgvW9JIzrBlUo8o8pMvA7zEbxVOwc9Zvj7PH6lxbqO5+W8CIwHu7Az8Dy39gm9NAXgvBqFUTvDNhG9FugpPQ78czx/mEQ8LXU5vTrRW71xt/a7/syMvM92GLyMhpO74h2qvIEZ0br9kDc9POQUPS11ubxRXms8Q0sfPZN7q7xVO4c8N+vdPHtgjjyILqM8+ao5PNFpl7wSudW7xsB/PTBbt7s6Q8686M2KPGVhDD1/T+481Qa/PGh9pzztQZY8ozy/PAzEvbygclw84kbGvOdoGbveF/I7A0r6u4yGE71mz9+7xVKsvObaC71ygVk8m7kZPUiWDryOByC7CdG+PH8m0rz7dJw6av6zvL7LZ7ywM/A8xlIsvOeRNT0nU+a7JyrKPIgb6rz1mx87EwIsuaW9y7zdGxG6odfNPATPpby5oLI8YR//ukkknDwaXDU8OFDPvEKdV70Pqjs8b0mjvEOd1ztGg1U8utyHO05vCzysbSw8X7ErvMSkZLs5B/k880MvvNsI2DxFFQK9z3aYPGWKqDuW/Dc7qGf0u+1BFjtlBf28DMQ9PZdhKT153wE9Fr+NOsC+5ruDVaY7docRvNEEpjxFPp67NAVgPIuvrzxr3vk6ZWGMuftU4rzj9A07+1TiOxCqu7yA/TW65OeMvPhuZLzzGpM8y5n8OmCIDz3rThc89imtO1NRar3Gl+O89+DWO35TjTrj1FM8mc98O4cSCLtRp8G7ShcbPZ8ECTz1e2W8Ye0Avbjy6rwnU+Y7EOaQvDfrXTxwt3a8NRgZvW1/QDyQ3gO840ZGvMCVyrsq9Ky8B7Uju1E1Tzw4wkG8DmWEPObH0rzgKqu8AXe1vEqSb7u6BSS7n7uyvPx9/rxwrpQ77vi/vP9aGj2t7rg52hXZvLUDCz3cMfQ8omXbvAuboTzAvmY8hR8JPPWbH7x87hs9iC6jPNnsvDv7D6s8BRRdOy+RVDv7Dyu8zYMZPZ9/XbwBTpm8FNXwu/Ci6DzWWPc6Jg4vvfmKfzxgaFW89nvlPDUYmTzJYUY7kha6vNLOiLxd58g8wqgDvWnreruh94e44mYAvZQJuTxMXNK6BpkIPM+ftD1XN2g8utyHvAgnljy7apU7FMyOvMp94bzLmfw6hSjrOy/2Rb3CseW8v6LLuv8RxLupURE8MKSNPIM17Ltdvqy9BIbPvHSUErsuLGO8FfUqu2q13bxl/Bq8x9M4vaijSbxvAE27S6WoPC/2Rb2rTfI8vushPUSQVj0GwiQ8GLIMPb7roTuKBYe7EksCvD632bsSAqy8ZU7TvMVSrDxnNFG8x/xUO5S3gDxVG028BetAPWAffzvwULA8XpUQOzv697qIG+o7zfWLvOzcJLyZz3w8UIsmvNinhTyfuzI7Lx9ivAe1Iz2RXxA9LgPHOiJRzTxsGs+8VTsHvSE1sjtZSqE8xBbXukXMK7wrEEg8c530uvGiaDxk3GA8xJuCPBIrSDwuIwG8Ko+7PEU+Hr2sJNY7YIiPPD/gdbx0lBI9sv3Suw2OIL2Yxhq9y7k2PDuovzs1z8K73qkeOzmMpDtq/rM81S9bO18DZLwm5ZK80nL5PJS3gDyVRY48voYwOzw2TTz3AJG8Mi78Os+fNL3Szgg7Zvj7Oz1yIjzNg5k8yWHGPBszGbxMhW68qTFXvL95r7y1DG27ozy/vHKB2TuDVSa9JfKTPM9/ejzs3CS9jgcgu9k1EzyfLaU8j94Dvcu5tjwQxla8UIumvFNxpDpXLga9+YGdvPwrxjwlVwU9m3DDu3d6EDxbFIQ8xaTkPNV4sTsahVE6dUu8vIkOabs1GJk81gY/PGIS/ruKvDC8IV7OvOlbmLvur2k7v3kvvJHRArw9SQa79+BWuz4AsLwyLnw8k1IPOyB+iLttf0C8cli9PApfTLskZIa8lOl+vEx8jLzAvuY7gWInPA7T17x/b6i7E2edvAEuX71yoRO9Q53XuqW9Sz39Z5s8XpUQvSecPDtgH388BycWvZuZ37wBBcM7d2fXO846w7zhuDg8BPhBPK6cADyzqxo7MDt9OjkH+bwE+MG8MjKbvKVrkzyIVz88/CvGPJnitTx0IqC6FdXwvDwNMb2tYKu7i68vPTwNMbzwecw88JmGO4/n5bsf0MC8SJ9wvQVdM7wuA8c8YBadvDOzJ7043ty835wdvL6iy7uiZVs8RblyvBCqu7wrMAK92zH0O75dFL1fsau8ZUFSPKypgTyVbqo8Zu+ZOy0DR72nh648OxoyPANqtDtNeO27AVf7vGrVl7wgfog8oCAkPK6cgDwjjaK6wzaRu2MSfjw+ADA8meI1Pdk1kzonU+a7XpUQPGISfrpRp0E8Ovp3PObH0rrkq7e8g+MzvalREbuO52W6wohJPI15Ej0xEmE69DauPBmSUjqlS9k6+504vIv4hbuKISK9av6zPKkxVzzdJHO8zYz7PMNfrbvSIEG90UndvL7L57ynPtg8PUmGvFAZND2Q+p47hxKIOw23vLy0DO28YBadOyJxB72TMlW8RwiBvHETBr2uQHG8yWHGvIz05jxBLwS9igHoPGveebzIimK8hLqXPAJXezyzx7W7XwNku6VL2bz0Nq675uNtPL1dlLotA0c8QKrYPF3nyDxVO4c8rRdVPLH90jxnfSe880OvvOlbGDxUUWo6aOt6vMKoAzwVg7g8rG2svEA8hbzpEsK6b0kjvBszmTvcMXS8k6THPI4HIDyyq5o8AMALvaTqBjxOb4u82CLaO+aetjuMFCE8XRBluicOLzyh9wc7nlZBvJyMXj0WWpw77NwkPQ1yBTw/4PU8pFhau66cgLzCqIM8SZLvO1UbzbyX77a6KAEuvGLpYTwvH+K7TcHDOveOnrzB+rs8cy8hvEmyqbz0X8o7GGk2OlkqZzmgctw8fnypO7QsJzxW8rA7sjkoPGAf/zzWlEy8Y26Nu2qMQTqHEgi8UV7rOT0pTDr9Zxu8BjD4OwTPpbwAhLa8wtEfPZazYb1iCZy7YltUvBiSUryoZ3S8/UfhPOQQKb1nVIu8XMstPNoVWTz4ZYK8OCczvDfrXTxJJJw79lJJvZrCezxXDky95cdSvAUU3by1A4u8NCH7O9xELTzPnzQ8tbo0vXWwrbwvFoA7AU6ZvCLDPz2pMVe8wzYRvUzOxDx/Rgw7iD0ZPVSzFTyePbq8XW5FvDBnIzzWG4w6mBh/vKIsAj0Zt2i8z1T3vKcGKj3QW1e9XjjSvHnCtDu0Nns9q0VYPJrImLt002w8/c7fOv398jwi5d481DzfvMscqbz/rYy8WZQdveP0Fj3P/bA69AVwPEu7kj3nM0U7b2UrvCzrobx9Zmk84/SWvPSg6byVD8S8qz74vLaBDr02Twu7fqocvYtGVDxmNzW8sGqTu1QK3Lze1js9K0LourklQz0Hny+6nhUHO0xPLD1/ewm9FAxUPTQ66zs1fp48AmABvWviyTtj8Sa9w4ksPEdupDxG9H28g/cKPTpfpjyV5xC7vTXevKuqXjvxAxU8NJ/xvG2LAz2Z6Wu6WbzQvJnwSz2iW5U9cAeFvB7jgzq9muS8esmUvEYqcTyZLR88HkiKvLUVqLu5g2k88TIovGOMIL3RMyS7Ge1bvIPwKr2nBiq9yhVJPKP2jrtrHx27OVHmPFTU6LuPVu+89afJvCh2gD1nAUK9jE20vMdqtDuiTVW92CRHPFHSjT3+EhO9FeQgvHBlq7teq5g9MWejPGLqxrz0DNC8sGMzvcO/n7gw+7y97yRoPCshlbyYGH88GsWoOwJLYT2/3hc92WEaPUedN72iWxU9duiMuzFnI71VrDW85zPFPHXazLsMtqq6Hp/Qu2yLA7wM5b08VoSCO1lXSj1fRhK9WVdKvTqVmbm9muS8cMPRPJgfX7xitFM89KDpuzmOuTwmxmY8zFIcvba3gbz1p0m9NAvYPP6mLD2PIPw8qx0lPFrKEL2rPvi8AhzOvKvZcTsnOa27zb6CPHbojDzsGy29/kGmvA/u+DpHdYS8p6gDu8upYrye0dM70DqEvAK3Rz2wBY28iKKfPLXfNL0jjpg7XtorvWJdDbz9adk7orm7u6Lh7jw146Q81eWYPIPwqrzHBS48FeQgvXQJ4DoRzaW82pCtPNjncz0npRM93TtCvcscqbx+DyM9xpLnu1DLLT1002w9vkOePAJLYbrwng49/gRTPM9U9zuZkiU72ZcNvV6kOD0ZWcI8mcE4PQZbfD0f44M80DqEPH0BYz026gS8deGsPGtH0Dzi5ta760PgPPj0t7wrSUi90CzEPJXnEL1e2is9q0XYuyunbr2MVBS7Wl4qPZVFtzyVRTe9pjW9PYYoeTtHnTc9XtqrPE+9bbxw+cQ8h9gSu32cXLxZlB29/XcZPHM/Uz2+qCQ93mpVvULrQr2MuZq8Z2ZIvZCM4jwQnhK9+iqru94TD70Y9Ls83c9bvY9kLzyjiqg8deEsuz6eVL1R0g09XtPLvHnqZ730z/y8WgCEO/8Skz2Zulg663LzPM+5fblGKnG9X0YSvf6mLD15jEG9zBwpPcb3bbyn/8m8SAmePJizeL3/SIa7VX2iPMMkJrxrCv070GkXO/a1CTsmxuY8bLO2vLRsbjvsvQY91bYFPePttrxs8Am9eepnPCxXCD2LF8E88PXUvJnBOD2YTvK7/cf/PEy7kryistu8bLqWO32V/LysJIU8Ob1MPR5BqrwHpg+8j7t1vJGhAr0QK0w7cDYYPWeVWzr9x3+8bLO2vHHRkTzRn4q7ntgzPZ7Ys7x0nXm7TE8sPY8g/Lowj9Y7kGuPu0eW17wndoC6jLmavP46xrp/RRY94+22vFV2Qrx9lfy8cPJkvf13GT1i+AY9w7+fvNBiN70RAxm9hwDGPJFrD7112kw9WH99vP7VvzsjxIu81YCSvN4TjzzYTPq7/P1yPKIeQrwH1aK7lbEdPYhzDL2aXDK9kF3PvNTX2Dw01WQ8A74nPCuuzjzMUhy9Qn/cvKLoTrydDqe8D1P/PND20Dx9N1a9PtunO75ysTy9Lv68bPAJPYKSBDtj8Sa8FuuAPDQZmLzi3/Y8tbChPGtVkDxZKDc9R8zKvNj1szxwNhg9lRaku9hMer1G9H076yINPP1p2bwQK0w8Fa6tPAgLljxrQHA9VG9ivOPFAz0+1Me8/nC5PP9IBr3M7RU9saCGvJV0SjxHnbc5FUknPSun7jqiubu8AkvhvIcARryLq9q7Ovqfuwy9Crwjh7g8mlwyvceZx735Ut68fnSpPDBugzxHdYS8Fa6tPH4IQz06ZgY8dNPsu1koNz1DIba61Q3MvNWoxbxL3GW9MTgQvL95Eb1HZ8Q87FiAvWxVEDzY5/O8/0gGPAYs6TxLd9+7Fa4tu1XbyDsecL08Inl4vKvg0Tst8oE8KxNVvcbB+rw+1Ee7awr9vPrMBL39zt88pwYqPb/elzvM7ZU8YuPmvGJPTb3VG4w8QuTiOiMpEj1Pve08q4kLvZQI5LxZV0o7LFcIPIc2Ob10nXm8XqQ4PTAxMD15heE7TPGFvVlQ6jjV5Zi7D+74O5otHz2ZLZ88xlx0PN7dm7zv/DS7D/y4u1DLrb1CSWk9IoBYPTmOOTzMsEI9hl5svQyHlzs6lZm5XtqrPAxRpDuesAA90QQRPNmJzTzwly49tRWoOwPFh7w0cN67RgK+vAJL4bz+OsY8YhnaO/CXLjz0oOk8RvT9PIy5Gj25JcM8Y4ygPOy2prw2Twu7MQIdPYyKh73RM6S9FX+au6KDyLxZLxc85zNFvVbpCL3Zv0A89M98vJgYf7w9l3S6mbpYut2Z6DzMUhy7mYTlvIxNNLymoSM9UDeUvKxMOLsMUaQ86NUevPEDFbweQSq8GfQ7vbWwIb1YGve7UAgButDOnTqHAMY7kf8oPb0ufjyMuRo83jvCu/TPfLwiG1K8LCEVvUcCPr14INu7fTB2PLQH6DxH2go9BpHvPDBug7s+pbQ8HXA9vEy0srzLiA893c/bvEc/kbxGYOQ8wh3GOwZbfD06y4y8K3H7u7mRKTxa+aO8vdBXPMKxX7p5ZI48cI3eO1VOD7zUFKw8eSc7PXmMQT3nYtg7WgCEvZnBODxZIdc8Wvmju75ysbw+fQG9NRkYvP1i+bvIOyG94/SWPAu9Cr1iT828kWsPvfRx1ruwahM8VBG8vPoxi7t00+y7HxKXPUzqpbzD9RI9a0DwPGd0iLywzxm9NAT4vFrKkDwi5d67MWcjPRrMCDunPJ07PnYhO8sjCb11HoC9sJkmvVBfxzxI2oo8TPEFPRRCxzyVdMq7pqEjPKsWxTxCf9y6Il+FO/RCQ7y/FAs9Z9KuPNn1MzyQJ9y8qx0lu0+9bTxRNxQ82CTHux8SF71w8mS8vcn3u9Ry0rxihUC8Pfz6u8inB73HoKc8NJ9xOrpilrwe1UM9dAlgPPQ747w01WS8RjFRPENXqTs58z+8T4f6PILpyrx4Jzu8vZrkvKgNijvealW8dJ15Oyh2ALydAOe6lh2EOyKva7w4vcy5T4d6PHXhLDm00fS7vWTxugf91bwaxag7+b7EvPUaEDtQbYc6evinPEsSWT1i42a83XG1PKMsAjzrG627Z2bIvP3HfzyUPlc9OCkzvdm/wLuiF2I86hRNPLRsbj0wWeO8jO+NPLD3zDhi42a8pgaqvDrErLxDvC+8glUxPFBfxzw6Zoa7Pfz6uz6eVLtVrLU8RzixO9mXjbx1fCa86AuSvEcx0TvdNGI85gSyPP6mrLuI2JI8/neZPCdADbwRnpK8AhzOu0oSWTwGx+K7a0DwvH57CTxqCn28mvcruytJSL1dCT88kGsPvJ5szTwoCpo8goREvJotHz3UgBI9sTQgvN54FT0jKZK97OyZvKsdpbwCUkG9sTuAvat067wqDHW80QSRvL5Dnrxww1G9q3TrvMuIDz2RNZw8I1ilO+dpOLss6yG9Xj8yPHTT7DwrV4i8PQo7vSIisjyLdec8vZpkvHSymTz1tQm9lXuqO1UYHLrM5rW8HjrKvCuuzjz2tYm8fj62O+fOvjzZl4282Vq6PBmWlbr4Ut467IeTPNm/wDs+2ye9YRJ6O4P3Crz1GhA9wh3GvIIfPjz0z/w8Ol8mvcP1Er09zee7K0JoOT6lNLxxmx680JFKvPWuKb3aYZo8bISjOwLmWjzVQ7+8x2PUvBUTNDyZVVK8wrFfvP398rzLRNw8eFbOujQEeDwDxYe8VEDPvGIZ2rjH/s28z7l9PN4TjzyYs3i8KAqavDAxsDt1FyA8J3YAO/+tjDznmEu8gulKPYwXwTmRmiI8/ZhsO/WnyTzsWIA7YoXAPHBsi7xL3OU75zPFPBbrgDxGj/e8qz74vJUPRLyYTnK8LLWuvIsXwbuD8Cq6FUknuz5ALjzIp4e8WH99vIzvjboUE7S90MDdvIwXQTuQa4+8/p9MvFRHLzyWgoo8NBmYPDQ6a7xVrLW8XqQ4Pc9U9zyaXLK71YASOlCVOj2V4LA8a4Qju0b0/bzeSQK6EZ6SOzQE+LwVUIc8rFMYvbmD6bz01tw8/p/MPEgJHrw58z+8EJ6SPXQQQL3sh5M5IVFFPCKvazyVsZ282vwTPQdpvLyQaw+8XuELu7XmFLxiT808Yq1zPNkd57yGlN+7VNTovNr8kzw+26c82Fo6vXUQQDw0Ous7S9xlvTm9zDxL40U9jLK6PCOHOLwGx+K8ecI0PW2LAztD8qK8T/pAvJH/qLyLRtS8NX4evELDjzwPifK89HHWO5V7qjzMtyK9B0EJvPWnSTva/BM8sPfMO36jPLzaxiA9AhzOvOwiDb2s5zE7yHEUPcsjCTt5moE7mYtFvVEBITy1RDs37OU5PSK2y7oQ1AW9R6SXPF58hbxndAi71RsMPZUdBD2n0DY8qz74vBrFKLyeosC7OQEAvTQE+Lt9N9a8okb1O2fSrjyRoYI7grNXPDD0XD3hRP07lR0EvTSmUbwZvki7WQCEvKvg0Tq/eZG8D/w4vJE1nLzVQz+9gU5RvN6nKDte2iu9MDGwPLozgzu5g2m8558ru97dG700Ouu8fW3JO6ahozvrQ+A7OsQsOxlngjwnpRO7NeOkPBj0uzznzj48OY45OwLFh7v+BNM8NNVku6ujfrxQxE29Xm5FvR4LN70wKlA9yAwOvPCQzruGjf86PZd0PbDB2TzwaBu8eZOhvIPwqryPVu87p8nWu4xNNLx8AeM7mZkFvMZc9DsxnRY8a0BwvIdzjDzrFE29hij5vFh//by15pS7DOU9PSshlTys57E8kAYJvZDCVbwLgDe8TLuSu9m/wLztWAA8UJU6uyJfBTyrRdg7p2TQPM+5fbyV4LA8uiwjPTV3vrywz5k8OQGAPLRzzjxaZYo8PW9BvLBc07uwwdk8vxQLPct6z7x1FyC8NEHLO6ORiDwDWaE8/jpGPbr2Lz1wBwU91a8lO9W2Bbxx0RE9gyYevUuFHzxQyy28/WJ5PJ2bYLz57de7h9EyO0ONnLzxng486xRNPSIUcrw+pbS8Y10NPZV7Kr2RmqK8GmCivNUNTLwIcJw8xzTBu7AtQDwQWl+8pjW9PP39crtshKO7XhAfPTVIK73HNME7X0aSPBmPNTxMu5K7uB5jPF44Ujza/BM8mE7yvBCQUr3VtgU9dR6AvMoOaTxm+mE8tA7IPGPxprz8/XI8WH/9vAZbfDoQaB89tXouO0aP9zwwMTC94uZWPEPyorvNvgI9j7t1uwcENjsYgXW9Ge3bPMbB+jwreNs8fW3Ju9WAErwiX4U8jLkavBV/mjy5JcM8MGcjPMfIWjxVETw9PTJuOr2aZLwwZ6O6hl5sO2tHULyj7y67VRgcvLBjs7yZi0U8ry1AOsYFrjw5AQA9x6AnOwdpvLydcy286KaLPJWxHToZUuI7SyAZPN7WO7tGMdE8mmMSPT12IbzHmce7Blt8vGdmSL0qDHU8KxPVvIPwKjy+qCS9MJa2vPlZvjxaXqq8Hq0Qu9mXjbvGwfq72vyTuz6sFD1Ph/q7NdzEPL3Q1zzienC8fctvvF5uxbljjKC7+vsXvGsR3bzLDum8q4IrvPXknDz1rim8b2Urvb2aZDyn/0k9yHEUvQIjrrzHO6E86KaLPI+79btWTg89T73tPEbF6jzLHKk8J56zumMnGjyochC88MbBPHDKsTt9DyO82bhgvD2X9DzRnwq8BzNJvVUYHD3rqOa8yyOJPKwkhTyMsrq7wyQmvA+J8rj1p8k8OTCTvFDLLbzDvx+8XquYuzQSuDx4INu8RmDku7WpwT34I8s6a9tpPHHRET2Z8Ms8NJ/xu5hOcruURTc8EQOZPBHNpbzQ9tC8ftJPvKeaw7whUcW7xlx0PD/ih7yZi0W9lRYkPJAGCTydNtq8kaGCO2b64bwHaby8kJNCvVmNvbyi4e689rWJPL7XN72/3pe7+syEPf+tDD3Ip4c8GmcCvIjYkjzeBc+8NDprOxBon7t0nXm8nj26vCcyzbnGkue8DyTsu3V1xjqs7hG8WBp3PUONnDvwkM47Pfz6PHV1xjvsSsA7FNZgvKLh7ruiJSI9okZ1vFnrYzuiLIK8tKJhvGb64Tu1twE9/ncZO8enBzy+Das7ZwFCvV6kuDtik4A7z4rqu8cMjrxM8QU8Q40cuRnt2zsPJOw7q+DRPLFqkzwrV4g8kJPCPFkvF7riFWq6kC48PPr7F71eCb+7CKaPO34WgzgDWaG8/P3yOwzlPbxedSW7rLiePMLnUrt1fCY86xRNukY4Mbz0z3w7nTZaPAzsnTyrHaU8oluVPPXdvDyochC8Q1epu97dG72Vqj08DIC3u7TRdDyDurc8OfO/PAbHYrx/ewm9DFGkvKvg0bvwxsE7hz0ZvOOIsDw13MS8hl7sPNA6hDu5M4M8NAT4u/V4tjwPJGw8J54zvXQ48zweprC7XQLfvExPLLz9Ynm7AhzOPAgLljy+qKQ8fTD2u9W2BT1edaU8J2+gukc/ETuwwdm7R26kvLDPGbyHNrk8WBr3PH6jPLx+CMO74/SWvHkuG7wUE7S8lAjkvGvbabzCWhm8KxPVO16rGLx6XS48Iq/rO8MkpjxLrVI5p//JPEIhtryrRdi8CNwCvcztlbxjjCA8EFrfPItG1LxYf326Xj+yvE+9bbxaLxe9o5GIO7mDaT0wYMO8GswIvaMlojv8/XI88c2hvBmPNb1GMVE8yyMJPaIsAr1I2oo82YJtO/a1iTzfrgg8K91hPGjZDr35Ut684ioKOhAyrDz9cDk8h2wsvLAFjTz5Ul67A8UHvd7dG70eprA8ntgzPQu9Cr1Ctc+7cMPRPFnyQzteOFK8IhtSvXnxx7xwyrG72sYgvU+H+rxVrLW8J9QmvBGeEry478+6QsMPPP6mrLqiuTu8SNqKvCKv67yi4e468QOVu4fKUjtwjV48J0ANPP1i+bxvLzg9bOmpPAJggTxUQM853gwvvfRq9rwGmE85tXquu90ML7yZi0W8mB9fvA9Tfzz9Yvm89HFWPR6f0DsaxSi9YieaPFDz4DuPXU+8ArBnPKahIzxrR1C87VgAvZ5zrbxHbqQ8q4kLPUy7Ej3nOiW6dNPsPJUdhDxMu5K8h3OMPOK3wzvZzQC9Il8Fu5DJtTwUDNS79ULDPIYo+bqxahO9lR0EvcztFb0VUIc8Iuy+vFUYHD0UcVq8x0KBPBpgorzxOYi8WZQdu2L4Br3tvYa8fW1JvKtMOL0rDPU7Z20ovN47QjyssT683q4IPTlYRryD9wq9WQCEPJVFNzpmX2g8uTMDvMoOabzqDW08cZuePMZcdLunDYo8LfIBPeIV6ruU2dA8wrg/PcMkJrwQaJ+841mdvD0Ku7wIcJw8lecQPMt6Tzx1qzk84npwvGul9rsLG7E7uv2POzQEeDvRzp28z1T3O7UOSDxikwA9kf+ovDUSOLuD8Co8K3H7u8b3bbywkka72fWzu6znMTy1S5u6TOqlvFSl1TkRAxm8MJY2PLnvTzxrCv08WBr3O4c2ubsI3II8toGOvL6oJLws5EG8Zz6VvD0ybru9ZPG7sTQgPLa3gbwxzKk83gyvux46Srw5AQA9fZxcOwjcArxirXM8OTATvHmTIbthEvo5PqW0PKuj/jyC6cq6z+/wPGMnGjzC59I8RwI+vFh//btMTyw82sYgvLke47x1q7m8Vaw1Pd6uiL1ZjT28p9cWuxkjzzhsupa8mi0fPawdJb0KFNG8oat7PPVCw7zCuL+8qHIQvHSd+bxwB4U7jCUBvd0Mrzw5AQC9WH99vA9T/7zoCxK9NX6eO3D5RLyCXJE8lUW3vHE2GLuQLrw77ErAvLCSRj3Zgu28XQm/vMoOaTzCK4a8JeHcPMD5VztFDRC9SAmUPGEvfjygBIW6/XJbvCXhXDz4gJK8aqJtu+hnWTx+3E29bXVSvdr8YTzrEZ89RmGROnW9XzsOLlg8z2YSPLYPhzyiKSg88//ruikOgjztkIK7oQSFvNNc1zzyXSg8jEdFPGK0oD18Ogq8oqwHvCPrl7yKyGE8CjyPO54IgbuXi1Y8/XgavXXDnrxqVCu8qkiWvRGEHDwaxmq9dBucPCKXlry9qVI8shODvJc9FD272LA8HkFSPCBsND3tPAG9/XLbPEGSKLtKLrc9USJDvVs9Nb0N4JW8v/8WPId+G7sJNlA8tzQqPRIsHz0Qrbu8NpzZvG8jFDvWKX08sjyiu90jyDx3vyK9JLb6vCGXlj0oMWI9yhoJvWLdvzzGmWK9bx3VPLbgqDxbEtM8HRbwO0OOLLwqMyU89CrOvCi0Qb3kyRE9YAwevBckJ7w2nFm8pMvrPAu1szzGHMI7XxAaPcuRaruy6KC8JonfvAc6zDxGYRG9v3w3vRgeaDz0Way8S6fbPLO/gT0il5a8y8KLOmTZwzxdFBY9w6MdPNWB+jw/Pqe8MqRRvdIOlTtE3O697F/hPIXWGLyrcTU8yO+mvCsERz0z/hG9HfMPParu1Tt5loM8lwj3PFw3dr3q5jy7lmD0O8y8TLxIV1a8R10VPe02wjwJPA+9mQo6O/mltTx9C6y7jPkCvaKmyDv1p+68A5yEu6/snLwrXoc74vIwvPWnbj0uKWq8/SAdvV1iWLwV/4O8M6aUPBTUoT27r5E8gVVyPFnncL06af+8gITQPEBpiTtvHdW8szbjO54IAT1GYZG8Sv9YvDnyHToaxmq9r5ibPCM52rzdpqe8WumzvFFNpTyuPlu8iSYePVF2xLrO5667pnPuvOFKLr3Jxoe85e40vKX2zTyq7lU81i+8OqeeUDuKzqA8tmOIveNGMjqzEwM9iVEAPY/A6TxyHxi8mTPZvM5qjjydrsA8VkUtvVjCTT1rUK88gNjRuseZYjxmsKQ8t2OIOT0TRbwFu+i7G0uNvLBj/jxxQvg8BZgIO0utGj1mLcU8M0xUPUpZGT0otMG7mTNZOruEr7sxJ7E8Evv9PD/kZryq7tW5YjeAPdhUX73oZ9k7G27tu0pZmbwoDgK9Jgy/PL+rlTtlqmW9N3O6PdQzOLyC/fQ83IGEvNDjsjuyuUI8YLLdu1nn8Dy/+de81qzcvG11Urpte5E8UXwDvf/In73+dB690t82vGQzBD2UO1E60zO4vPEJp7xQKAI8jqEFvXxdajtEDZA8r0AePBl4KL2C2pQ8sObdvADDYL0XUwW9429RPDP+kT0XTcY7AhmlPS/RbLwAHSG9FnblvJZg9DzRMXW8YLicPS2yCL1fjTo8BbtoPA+reLtkM4S889wLPRIBvbzVgfo89k/xPALFIz3z3Is7y5FqPEjatbzQiXI8Si43PUhXVr2mc269IGb1vDB5bz3g9qy6TCT8O2gAKjysE3k8pnNuPXbuALwEE2a9NpzZO234sboW+UQ8zRBOPaxtOb2/fLe7dcOevCsKBrsSAT085e60PNr8YbzgnGy7UdCEuwa9K73Q4zI8lekSPTXJdDxd5Tc6waeZPeRxlDxPzkE9V5muPFYaS7zQZpK69n5PvRTUIT1O/R+87+QDvc8SETt6tee7RrUSvbxbED1rfw07SLGWPLcu6zvPuNC8lemSu9Ypfb3yXSg9UsrFvOCc7DuRaOy7PJogvWkAqjwaICs9bqA0vWnRy7yslli7x8TEPCgx4rxNzH68Zi3FO77UtDweQdI8ggM0vD/BBj0ElkW9wk+cu5AaKr1I1Ha8cMsWu34FbTs8a0K9iktBPEGSqDpGMrO867fePBihxzpGtRK93M/GvI/A6bwrh6Y819e+PENfTj2Tai89paJMvcgYxrwqCgY9U8wIPSePHr09GYQ7MCstPC6ujLu+1DQ79iyRPOHHTrz4UbQ7dzxDvDnHO7xq/K27bfgxvOuOP70dcDA9+vk2vUwBnLyZsPk8Au5CPJ4Igbxp0cs7ycYHPJRqLzziIQ88plCOvDwXQTwp3yM8Wefwu211Ur1Toaa9BmkqPYL9dLuvmBu88jSJPADDYD2GKpo8Nxn6vDdzOj0g6dQ8G/HMu0hX1rx+BW29QgtNPGCy3bz0hI48FnZlvdfXvrxAD8k6mLa4u58tJD3ziIq8xiIBvLuEL7wj6xc9YOG7vBnMKT0pCEO8hdDZvNxMZ73LGok84KIrvf1y27wJPA89WhJTPSOTmjy8qVI9zecuvWQCY7xWRa06jPmCPGgvCDy0YUU8l4vWvAveUr0OLtg8wPlXPOkPXL2uu/s7mGI3u0Q2L7p0RDs86G2YvUixljzIHoW8g4BUPL6rFTuI0pw7ty7ruhRXAbw2nFm8VsiMO99Oqr0ZzKk8f63vOp/ZojslOx09Cw0xvTuUYTsJkJC9IGZ1PGCy3Tz/yB89S6fbu6Woiz0VzmI76OT5vBpPibuwvb48b5r1u5c9FL20YUU7dReguoVTuTzA+de79/0yPRkeaD1/rW+8yEFlPaodNDwfm5I77+SDuUixlr0L3tK9BxGtvP+X/rwfGDO7y5FqvKH+xbuHfpu6Q19Ou1IeR7wv0ey6J2DAPOFE7zxFhPG877UlvdwphzsOiJg8Omn/uyXhXDyqcTU9HMitOmiDCbyJIN+8UsrFvGkrDL22Dwe8tLuFvLbgqDzl7rS8mbD5O8lyBjvRi7W73CmHPH23KrsgQ5U89afuvFWXazyc3R68CbkvPTV3tjwoMWI93aYnPbWMpzt84Ek9gv30vL5R1buwQJ48C1vzvC2sSTwgbDQ9goaTOzuUYT3GygO8YWAfvRn1yLtEDRC8Sta5PFrpM7xm2wY9s5AjPUp8+bxfjTo9bErwPE3M/jyC2hS8LystvZFo7DzJbMc7qcPzPEFjyrwugyq9QIxpvXmQRDsz/pG8jE0EPc+PMby1jCe9ZoFGve4HZDx56gQ92FTfvDOmFLzPvg+8uq1OPdLfNrx3a6E8BewJPejqOLwLOJO8d5TAvDB/rjzDxn28RrWSO50xILqMn8K8f4oPu5/ZorsgZnW9TX48vP3v+zwiDng8BkALPaycF728A5O4WBwOPG8d1TzO56676pK7uP7MG728LDI9waHaPD085DzDxn28OuzePJIQb7s2nFm8Zi1FvCVefbvmv1a84+zxPMgYxryMcGS8aqJtPAiOzbzi8rA8TK2avKzwGDx8tyo9UJ9jPLwmc7ze0Qm9g4BUPMGnGbyeK+G8/CQZPb5RVbsEmAi8mo2ZvPWn7jkexLE8QWmJPC/R7LsKDTG8OkYfOzryHTyRaOy8eZaDPJAaKjwoDoI7JzehvIrIYbqYtri8ZoHGvES5jrvtuaE7p57QPMw/LD18jgu9OW8+PT085Luhe+a8UJ/juxn7Bz2xEUA9BMEnvQve0ryEKNe7kMYoPUO5jj3BeLu8Rt4xPLuvETx0Fd28cB1VvPmlNbzAU5i73x/MO9NcV7tqou28NfRWPKucF7waT4k6W8CUulZFLbyO9YY7vanSOyyyCDsNA/a6WBwOPeQdk7tog4k8Oh2APBnMqbu2Ywi96hUbvOxf4TvwCSe8mttbvHkN5TtdYli9hdBZPPGMBrwgZvU8bXVSPFrpszxp+uq7AJrBvGvNTz3tPAE9DYbVvE8mvzymSk+9tGFFvENfTru+zvW8R69TvYxw5DqkJSy9GsbqvNrTwjv7oTm9iSYevRckpzuNm0Y9yO+munw0S7ybWHy8AkLEurDmXT08mqC8ZFwjvUQ2rzzaqqO8N0obPOWaM7wqtoQ7rZZYPEXcbjzb1QW94CWLvCIO+Dza/OG8GiCrO1w39jy5Bcy877UlPT2WpLy7fnA8DjQXOxv3i7yNHqa8vig2PB0W8LkW+UQ9/5d+PDodAD3fy0o7n9mivHq157ycg947fwewvC1YSLrX1768oyPpO9Yp/bzLboo8tOQkPJAaKjyXi9a7RDYvuz2/wzslXn07VZ2qu8oUyrwVzuI7uQXMvCKRV7uJIN+8SAkUvePJETycg1686GdZu4r3P7xZlTK8fF3qvJ2uwLxK/9g8V5kuOa/sHLj89Tq7GKcGPcnGB70HY2u8mY0ZvJjlFjwjvLm80g4VPQVEB71lsCS8fOaIuyYMvzw3ohi83ExnO0PirbzC+5q8bqC0PBr3C7yeCIE8eg+ouhinBj2fhaG7dBscvGt/Dbw8a8K9pnNuPDFWj7yZtji7IGb1uyxYSDyUlZG7qu5VPFlqULvwr+a8DwW5PAFr4zwNhtW6Kd8jO2krDD3ImyU6fuIMvHuSB73visO8VPUnPM7hb7yf2aI75BdUvJcOtroTJmC7ugcPu3a937pk2cO7R6/TPC6sSb2EKFc75jx3PKkdtLwFwSe8oASFOgjizrzLwEi8qR20PMLMvDya21s95hkXvOXutDsA9IE8q2v2uiaJ37x5E6Q8F3blu1u61TzcgQQ8UPmjvNPZ9zyhWIY99afuPAZpqrwuBgo88VdpPJY9lLvaVqK8lLhxu0MRjDp84Mm8yB4FvCdgQDxVdAu8q3G1ORAwGzyQ60u88K/mvHfowbvfy8q7SFdWO+4NI7zMvEw9KIsivWZYJ70VzmK6d2uhPIf1/DxEDZA71in9vLxbEDxU7+i7C7UzPX2OC7xp+uq8BzrMPLJrALyJnX88cMsWPTVx9zzrjj88SNR2vKFSR7y7rU685JozvUWE8TwfGDO63FKmO/PcC7yzZ4S848kRPDrDvzxRfIM8x8REvKmgE7zFn6E8a1Avu+4NI7zrt1673NUFvLbgKLzllHS8Tcz+PPCGxzsOsbe89qkxPQQTZj0sXoe8ZaplvEgsdLzRuhM8wPlXO9mFAD26AdC8bfixvKCBJT3YWp67QjTsPNjR/zxOJj+8yBjGO5c9lLxt+LE8HkHSvAllLjx5E6S8y2hLvHtjKb2cAP87n9mivNdanrwDlkU73M9GPTEnsTx6tWe5N3O6vKOmyLjgnGw5dBVdvKF7ZryleS099k/xO9O2lztsSvC8Z9VHO0CMaT2O9Qa9YrSguwu1M7zX1z68NfTWPK3Bujzmlrc889wLvREwm7sG7Im8rZZYvDzFAr2Xi1a8gtoUvc5qjrxV8Ss9jhjnPNNilrxi3b88a1AvPWOFwry9qVI8f63vPNAMUjx8t6o82tPCPJFobLz6+Ta8Evt9PYT/N7waxuq8V8JNPAeUDDzKGgm7JBA7PRTUoTwoMeI8QOYpPSIOeLxitCC73vRpvBt0rLpLKrs73aYnPICKj71msCQ7b3cVPH23Kjsye7I6w6MdPZSVEb1dkTa8HBwvPDcZ+rzPjzE86ZI7vIzKJLxabJM6y5FqO+B5jDy/qxW867fePMTxX7yV41O7TAGcPGtQr7s9PGS8bCFRPENfzjlfjbo86oz8OebFFTyPnQk8dG8dvdgCIb2WPRQ83k6quZ0xoDtlhwU8Omn/Olw39rrcz8Y843WQvD/BhjyzvwE9ty5rvIxNBD27fvC8v/+WPFntLzpU7+g8FP1APLwDk7uRmQ29Cw0xPYZNej2zNuM7VCAKvSxYyDwNA3Y8zpOtumCyXTvJxoc8yB6FONt7xTzG8yI7sOZdvDyaIL3wtaU6F3ZlPMXIwLueMSC7DQP2O7/517ytbTk77BEfvG/0tTzgnOw88VfpOe4H5LyO78e8Pe4hPGr8rTxNT168nIPeuqGqxLtt8vI63tEJPdWB+juAio+8UkfmvPTWzLxhL348fF3qO8YcwjwVUUK8tGHFvFlq0DxnUui8UU2lvKhMErsjvLm7cm1au+bFlTw5bz68MVYPPBBTe7uUO9G8+SJWvA2G1TyXDrY5sY7gvHfugLwyIfI4hCjXu0OOLD0HlAw8KQ6CvATwhTz6n/Y87F/hvFw3djy+znU8/E24O/4aXryvaT098jSJO3kTpDypRtM8YLgcuqnDcztbutW8OW++PEA+Jzsze7K8HfOPvMlDKD3VgXo8fzDPvBZ25TzNk628tmMIPUhX1jzVshu8IEOVvLkFzLxTysU7iXofvM++j7xNzH687Dq+vKakDz0+GYS8Tcx+PExVnT0vK628FnwkO+qM/DwA9AE8QgvNOwveUrybWHw8x5livJuyvLxk34K7u37wOm+adTypw3M8n4Whu3foQbz/RUC97ZACOy/RbDq4iKs6PEIju+hn2bx37oC8GKcGvWWq5bxAD0m8AcPgOw4uWL3mv1Y8YYk+Pfr5Nj1vdxU8gv30OzNM1DojvDm8VvErO18KW7x0mDw7ZIsBvWyksDnSi7W68OCHO45ypzzd+qi8J48ePWFgH7wn4588ZFwjPFoS07vjb9G7WhgSveFKrrzmQrY87bmhu8PG/Tsikdc7s5CjvNE3ND28AxM9MqRROy5aizzV27o5eZaDvRIsHzz973s867devOXFFbsG7Ik8TdK9vPj38zzv3sS7lGovPOFEb7u1tUa7RGUNOjT6Fbxy8Lm8s5AjPGI3AL0XJCc7fjYOPGIxQb01cfe8mQq6PJHCLLzvtSW7pnNuO9eDPTy5Bcw8dpTAujFQ0LzziAq8KA4CPOPscbrS3zY8HEXOu3+KD7nVhzm89K2tPCxeB728LLK7/XgaPAthsjyhe+Y7EiwfPT5tBbzT2fe7xUugOzIhcryk+sm7YAyevFQgijwbnUu8feIMPfIuSjzh9qy8GaHHPFR4hzy6s407K9snvRL7fTxILHS8tuAovXy3qrx0Fd28AXEiPIYqGj3B0Lg8wPlXvJ4r4bqsE3k8kfGKPNPZ9zv6KJU8ny0kvMGhWrwv0Ww8sWXBO7oHj7xjhcK8g6s2vMaZ4rzfTqo8VPUnPKV5Lbxpgwm7RYRxPF28mLz7obk7646/PJFo7DtUzIi8fY4LvCi6gLt36EG8w6MdvW17kbyIoz687ziFPOmSO7w2Hzk8cup6vENljbxMJPy7x3DDu92mJz2XujS8zRYNvdhUX7vvtSU8MPzOvH6zLr3wr+a6vs51PCozJbzRuhM9C7WzPDrs3jw7F8E7+SLWO9zPxrzRizW9jnKnvLW7BTxYHI68wR77uwFr4zzMFo28j8BpvEYyM716Dyg8BmPrPBxFzrwVUUI8h9IcOi4GCjzs4kC8hKV3vSpiA73tDaM8uIirvKZz7ryV6RK9/e97vCRkvLxHtRI8aC8IvFPKRbyE/7e88//ru20nEL0cyK27KgqGPJbjUzyhBAU9+XyWPOH2LL2aXrs8uq3OOuaWtzzWKX28GaHHvPvK2LwgZnW8+dQTPETc7jycg946BuyJPHmWAzzRtFS8Sv9YPZXpkrq05CS7C+SRvOIb0Dte33g82a6fvGdS6DsvAo68+PfzvEjaNbu9qVK8OJ4cPYr3vzxp+mo7VZfrPB7tULwZ9Ui8EoScPLwsMjuoTBK9L6jNOy8rLTs7lGE84PYsPEun27p56oS967deOwD0Ab0DGSU4zDltu+nBGT0NjJQ7j8Bpu4XQ2by0DUS86MGZOksqO72PSYi8noUhvUDmKb1bEtO8Tia/u80WDT1RfIO8xPeePAFxojuBVXK87mEkO9rZgTxUSSm7avpquR3zD71vHdU7feIMPZ+FIbyUai88cseaPOqM/DyQ8Yq74vIwPd19iDu7rxG94+xxO22ksDwYHmg7/XLbu9munzz/8b47jPkCvQ4uWLwoMWK8bs+SPNRcVzxmLcW7g6s2vC+oTbwgZvU80Te0vEXc7juIo768ORs9vOF5jDna/OE8udbtu5Dryzwkk5q78i5KvEixFj3x4Ie8DoiYPC/RbDyNHqY84HNNu6OmyLpt8vI8hSqauljEELxWyIw7G3QsOqZQjjycAH+8IpHXO1c/bryfsAM7ikvBvD/k5ry8qdI84JxsO54IATykJSw9rUSavHJtWrpP9+C767deO01+vDw6aX+81YH6O5rbW7xQIkO8Jbg9vFHQhLzvtaW8JBA7uyKR17z6+ba8baQwPVmVMr0P3Bk694ASvZyD3rwv0ey8sGP+PJ4xIL2hWIa8G8ZqPNxMZzviIY+7AsWjvP7MGz2A3pA8QYxpvLRnBLo4x7u8NXF3Ou/exLvNk628CrPwOxOAILyOHiY8jPPDvEWzzzitwTq8QBUIvGMIIj0QMJu8jPkCvZyDXjzLGok8ttJ9PCjLvTw6wua8cFqQPHbGY7uz/Hu8t3bkuypapTxHOD07UXtFvG9vDz3moQe8OsLmvH+QNj1JgIo9o6m5vIM8Ojyp5KQ827qYuyCl0TyEmQa6PFHOPH6lNTwjfAY7jn9CveX9ID2ukCi8+rXMul9/0D24qH87rHOMvGyujLxkiCA9BZ27OipapTzEpSA7/74cveISIL2gduu7DydevXhVSzxdBpu9IsLtuwWdu7yklDq7wEA3PAflCD1Nz8E6m/UYPM/TKT35EWa8b28PPYgvWLydhIA9JHyGva169ryxPCy99XuUOx3kTjutXo28bIPbPDhJsTw+UgG9pTihu9JikTs2c686Aw7UOph7sDyaUTK9QROEvNNNkj2Uui09zxpEveVEOzyL8Fq91/mVPHJhejxi+bi7K+mMu4P1n7xxdvk7czASvYowC73TTRK8aXu+vCwF9rweiDW9OXtMPCoTCz2j8FO7X5WCPRap4zkpKIq8ddvivA18DT3l0u+8xZAhvZ0StTw+hBw84+fuPOGDuD2RQEW9BGugvDDxKbzrOIw9f9fQPPJ64broviM8YkBTvYEfHrx3Vcu9J27xPCLCbbx8z7M8HZ00uuipJD2ANB08ws+ePOP87Tt9Ac88HRbqOH0sAL1Atjc7ZXOhvCkoCjxP7F07HA+APR6ItbsBqp05ws8ePDWILj20tWE8Vm5jvVwbmrz3bX+8tRKuPE2Ip7ujN268KURzvIlFCj3v5A+9yVEkvUa/B71Oc6i89XsUvPeCfj0PJ148kUDFPAWdO70CI9O84fWDPIihIz21WUi87ir3PCJ70zyvNA+9rlD4vJ3LmjyHtiK9gphTvD7gtbz5PJe8IUk4uzwKtDx+F4G883rhPNszzjs3SP67ir6/vE5zqLvuVSi8u5SzvPzSaDxkz7q7ws+evHFFETzX+RW8dg1+vccJ1zqGy6E7Iq3uPOtUdT0zsiy8uvBMvTKAET1PF488HFaavLE8LD2kBgY8knLgPJ2g6TwgXrc7zMuMPOs4DLzcpRk83ybsvL6xTz0jHzo9HyycO8+MDz2JRQo954yIPSTDID3kWbq7xwlXPOh3iTuQxw+8RdSGPbD0XrsipoS9syctPW21dr2jGwU8fl6bvHXG47yjN+67uKj/POxqpzs2LBW9b7apPeSg1LoMH0E9czCSu1f9SrwyVeA8mHuwO+W2hrwOrii9P7Y3vHlAzDs2cy89IddsvN40gb1AKAO9kp0RuW6EDruEg9S8B3O9vHIa4Lw9rpq7n1oCvYEfnjwg0II8dQaUvFACEL1hxx09OsLmvPz9mb01XX28mQoYvABjgz09g2k63x+CPX1zmjuVM2O9Y1aFu8KIBDy8OBq96U0LPX0Bz7wuv448CpDZOwNroDm+42q8IZBSPT2D6bxBE4Q8jtyOPAm7ijziEW080QVFu8j0V7xavk0883rhPM39J70vlF29+crLO1swGT0eiLU8G7KzOyzpDD3EXgY8fqU1PZDHD70u8Ha9PFFOPGOdH7z5/OY8KIQjPTrtlzqLqUA8IQIevHUGlLyJ07678kjGPKcOozsNwye7nkTQPGcecrznGr08DmcOPcEruDzSYhE7vvhpPWKHbTsJuwo9xDPVPBdNyrwbVWc8qoiLvPHPED2eb4E7pQ1wvbd25Dwuv467pmo8vUprCz1rUcC8ujfnuzNrErkqWiW89JATPOiT8ryu10I9uvDMvNuP5zjgJuy7oWHsvJZJFTysc4w8FXdIvU2IJ73li1U8Ja4hPRkjTDu9Ixu9EbbFOj/LNjy40zA8sSb6vDNWEz1SHyy9FP6SuVqMsrwV6ZO8R3/XPE3PwTy+ajW9Ak4EPGDcHD1q9HO82l3MPHXG47xNQY28gDQdvbehlbxxRRE9q6T0PK0zXD2BH549eMcWvYihozw4Ahc9mAnlPGDcnL3qTYs8KD0JvK/CwzqAe7c89GXiPDFqX7vPGsQ8PuA1PCtFJrwA8Te8qrlzvOPLBb0f7Gs8YQ64vJ62G7xLnSY9INACue0/9rr4JuW8GWrmOjYsFTpsrow8kfmqvOW2Bj13sWQ8Khp1vGdJo70/PYK9oxsFPX4XAb2HtqK83sK1O53Lmj12f8k7V1nkOojoPT3VIxQ9rAHBu30Bz7y36C+9rlD4PBncsbyfRYM8NHJ8vRrHMr0mPNY5+JgwPHqdGD2Qxw+96H7zPJGdkbzXh0o9z9OpvClE87dP7N08UAIQvS/G+Lw/PYK6SmuLvFSZFL1dv4A9FmJJPW9vjzwL7SU9fM8zvQXkVbqsena5oqm5u7I8LDyuSQ49x2YjvTutZ71/19A8FP6SvG7LKL1IlYk71/kVPHNMezz86Bo9cIt4vR3PTzonmSK9bK6MPPdRlrrFNAg8a1FAO5kfl7y7lDO8/YwBPN2Qmr0S/V88jJRBPKbjcTyuHl093602vWfX1zwx3Cq9aQnzPGRBBj3+0xs99JATPO5VqD1lSHC6p1W9vMPsujr9vWk8pfGGvB+6UL3eUGo8BkGiO/ByRDxHIz481DiTPK5QeD0WYkm7TrrCPNi5ZTy36K84MNwqvDcXlr3438q9kMcPvWRBhrxwWpC80yLhvOGDuLwSWqw8INCCOqfHiLxjnR+8trYUPOrbPz2l8Ya8cFqQvIhaCTutevY8eFXLuyzpDLggXjc8187kO31zGr2t18K7a8MLvXF2+bzL4Au9rXp2vH+QNrv2UGO8hsshPFbLrzrEM1W8kUDFuY8jqbzLtdo7a8MLumofpbpqrVm8QCgDPYvw2jz5gzE9ZhcIPWNWhTywH5A8NHL8vCSY77tuEsM8Dq4ovdtITbtnSSM9czd8PG4SQz1kQYa8igVavOeT8rpLQFq7IdfsOwaIvLtsrgw9dvEUPLl3l7yzJy09RRshPYYSvDx12+I7FtQUvTXPSD37RLQ8FEUtPS2p3Lwf5YG9GZUXvZH5qjwfAeu8dPDhPGjX1znVsci8QCgDvczLjDyx39877CMNvTOyrDs5kEu8sSZ6PaEwBL2CCp86GdwxPeDfUTslZwe9gO0CvV6qAT3v+Q69DmcOPVBJqrwj2J+8+fxmPHhVy7wlmG+9Iq1uvMNzBT1hsp47MWrfPGr08zoohCO8hW5VvJGdETwpKIq8vDiaujgCl7xI3CM9T6XDuolFCj0s6Qy9dE0uPDKHe7yLqcC7N0h+vGcCibzUf6279B7IPLt/tLvrOIy8HvoAO8WQIb32l/08N0j+vLT8+zzQYd48ddviO0tWDLw1FmO87ir3O7jTMDwnbnG85ughPQbPVrwMZls78AD5vIOuhbuANB08raWnPAjQCTrUf6285nbWOzczfzxfxmq8uKh/PMwSJzsV1JS7c75GvGlmP7zxXUW8b0Reu78OHLygdmu8sDv5PA0KQj2m3Ie8tv0uPYdviLtEdzq8LL7bO8RehjwHulc9Oe0XvdPGR7zgCoM8qZ2KPJVelD0Pmam8/hq2O4bLobvAsgK9GoCYvEjcI7z01y068et5OxA9ED272828XqqBPGKHbbzSYpE8ted8vDZzL7zEXoa8J1nyOuqUJTxRe8U8ED0QPewjDbyZZjE7QVoePCI0Ob3tDg69sSb6PJGH3zxfxmq8uAVMvKiHWDnHCde8PfU0PC0bqLoIF6Q8WehLvGVIcDy68Mw8TBZcvC4GKT02LBU98HLEvC/GeDwlZ4e9PifQu5u1aLxW4K68ozduvWnC2Ly93AC9HPnNuxUwrrwvTUO9xUkHvQUPB7y15/w8k11hPBrHsjti+Ti5nYQAPLUSLj2rj3W8DNgmvUd/1zw1QZQ8Y52fu0a/BzzKJya8uXeXPK8J3jxgIze9B3O9vClvpDyDPDq8lHOTPB4W6jsZlZe8mWYxPc4vw7tcYjQ8C+0lPDB/Xrzjy4W9pfEGPAumC7t9AU89rHMMu94JUDwpKAo9/S+1vCpaJb2+ajU8bK6MO26Ejjv9vWm8W/DoO76xz7y7lLM8+N9KvElVWTwd5M688Y9gvOXSbzxTwxK67+SPvGQWVbx4QEw8uyLovNtITTvHHwm9YcedvPhRljxW4K68J25xPEtWjDsez0+8dX/JvOpNCzxbBeg8aO2JPO4q9zvkWbo5glG5PMQeVryvwkM7H7pQuZgJ5TvEXoa8Mpz6PBjxMDuhdx68fF1oPMlRpLpb8Gi856jxvA1njru/nNC8tG7Hu/aXfTvHCVc65Fm6O0TphTwzsiy7XBuau8Gdg7xLQNq9uUzmPJv1mLw3XrC8taBiO+8VeDw3M/+71/kVvBG2RbyJRQq9JMOgPAjQCT0fLJw6bSdCPGQWVT27Iug8P7Y3PJzgmbzw6/m8FEUtPHYNfrwj2J+73x8CvREokbwg0II8jJTBu0D90Tsptr68AAY3PYLDBL03F5Y8gHs3Pfetr7xDjLm8rexBPGUsB70lZ4e8JWcHvE0W3DwVMC49ws+eO6U4ITyivjg83ztrvKb4cLtkXe+6zugovZ39NTyH/Tw83yZsvEViuzwnbvE8lzSWPBqAmLzT20a755NyPBdNSrzoBb68inclvARrILylOKG83jQBvUHoUryyg0a8YNwcvPht/7tpe768HA8AvXmyF7taRRg6yVEkvBSMx7zlRDs9gR8evGCxa71nAok7H+xrPIHYAz3MEqe8aTQkvcsnpjwxsfm7PlKBPWFVUrvHH4m8i/DaPPHr+bs/hJw8p8cIPIgv2DxBWp489az8vGNWhTt4VUu8L5TdvAqmCzxF1Ia8MZWQvE5eKTzwK6q6Y+Q5PPDr+TxXWWQ6LBuovHRNLrtNz0E9GoCYujhJMbxPF4+5NV19O+ppdLxqZr+8rddCPG21djskwyC8ni9RPCWY7zzX+RW83WXpOq1eDb3YK7E8CaVYO9PbRj3QYd47XqqBO2qtWT3gCoO8nf21PIlFijtzMJK6Zbo7Oig9ibzNi1w8yicmvHb4fjyhYey8C+2lvJh7ML2ZH5e7i6nAvPiYMLzi4IQ8n1oCPSiEIz33gv68zFnBvOz42zyrpHS7YoftvOl+87tLVgw9N6XKPJ2gaTzOL8O6lezIO4FmOD2m+PC8ozduvE2Ip7snbvG83B7PPG21djxYtrC78o9gvSKmhLzJUaS7u02Zu5vK57x1lMg7ub6xvDKAkbxG8aI847XTPP4aNr1yjCs96HcJPQ6uqLz80mi6KqG/PLx/tDwDOQU9L9v3PFU8SLxzN3w8J25xPTXPyLzVDhW8zuioumGAgzy+sc88PpkbPe2cwjzE7Lo8qLIJPa5ld7uZZrE8MservPetL7oe+oA7L5Tduw9Sj7xs4Cc8yK29PAoCpbzgPB48DJEMPfjfyrzDc4U7v5zQPGalvLz5g7E7DGZbvH0sAL1nAok8Iq3uO8o8JT0hu4O8+0S0PG+2qbyC9R+87ir3OwHxt7zK9Qo8aQnzPEHoUrzmdlY83jSBuwoCJTsIFyS7iYwkvb7HAb34UZY8ZEGGvCVnBzxLK9s6zKBbPC6/jjuscww9C3vau17xmzsDOQU9962vuwhevjxnAgm94uAEPSxiQjxsrgw9N14wPLhhZbt8iBm9ZM86PaEaUj2p5KQ8wl1TPPLWejseiDU8ZM86vFlalztkcyE81A3iPIA0HTy/Dpy7Z0kjvDFqX7zwckS83nubOzTkxznnqPG7SGpYPB/lgTrMoNs8qhZAvOki2jsyVeA8A4AfPK6QKL0+bmq7hsshO1xiNDw3SP45+m6yO25Z3TumsVa8Pa4aPfdRFjyLGww8CzTAvMCHUb1+FwE6ZM+6uzQrYjzMy4y8Rr8HvU+QRDwgF528D1KPvDQr4rte8Zu8pfGGvNtIzTyGhIe8nCe0PDKc+rxXhJW8G2uZvLd2ZLrzpZK5w7qfvPN6YbxNz0G8YYADu/kR5jx/SZy80qmrvCBetzxD09M8JjxWvNpdzDvV+GI7/b1pPLKDxrwptj49rlB4PMzLjDw+J9A8ah+lOzSIrjogpVG8s/x7PLPgkrwie9O7M7IsvFSZFD0iNLk5yoM/vfEWqzyoQD68jdvbPOXSbzyJGtm59JCTvK5JjryXHmQ8zbYNu1eElbxAKIM8UEkqvZzgmTzz7Cy7K0WmOwWduz154/87FEWtvFhvFj0YOEs84TyevHsrTbyzEXs8VuAuPKM37rweFmq89GViuiVnBzx+AoI8SYCKPD2uGrwWqWO9jAaNO0ETBDkFnTu88AB5O8mYvrxbdzO8kA4qvRcGsLudoGm8Yoftu+wNW70fAWs8LBsoPXSpRz2KMIs8AiPTOLqpMjweiDU7EBJfu+AKgztU9a28bLX2vKB267kjkYW8xnsiOzKc+jpWbmO86WKKPZZJFTwfulC7AiPTO6SUujoiwu02i6lAvLd25LxZL2Y8qnLZvMJdU7vl/SC7fTNqvGk0JDypKz89j7FdPOxqJzwgpdG82qTmvI8jKTxq2Io8t6GVvHN3rLzJUSQ8FEWtOx76gDwA8Te86mn0PJQBSDgynHq82l1Mu5uDTbzKPKW73ZCaPKTb1Lzj5+48pNtUuz7gNb2ZZjG9IQIevHhATDzLJ6a82l3MO5ZJFTwAY4M8jfENvBg4S7ykTSC83sK1O1YnyTltbtw7a1HAPNB3EDxtJ8K7yK29u6MbBb22i2M8sQoROyNm1Dy3jBY8kxbHPEtWjDvmYVe81SOUu8o8pbzn06K6igXavOh3iTpqrdm87uPcPO4q9zu6qbK8LGLCPNwzzjzFHtY7cowrvdQ4kzzdkBq8kA6qvL6xz7mDPLq8jn9COTQrYjzAh1E90mKRPKhAvjsd5E48DyfePNJiETuANB06sxH7vOipJLzrOIw8eeP/O3njf7sqWqW8WtPMu8hmI7tFqdU732YcvJlmsbxwi/i7kbIQPJjCyrxzN/w8LalcPD5SATw9PM+65qEHO2L5OLx0Yq28RHe6vCWY77zfJmy8taDiPDVd/bwoPQm8wl1TvMHkHb1Tw5K8LDCnO7MR+zx1Iv07ED0QvfZmlTu72808Bs9Wvb3GzrzqTYu7gDQduZ1Zz7yZ3+Y8b0TeO5Fy4DrxSMY7kA4qu0tA2rzcM069BVYhvB8BazwU0+G42l1MO+LghDxzGxO8ESiRvGJrBL3od4k855NyPGcCibuX18k7vCObuoowizojkQW9ttJ9va5Q+LzMy4w8qs+lvKb48Lxdv4A6u3+0u+rbv7xXEsq7zYtcvOl+c7xsg9u8SYCKvILDBL1ajLK8IF43PIihozxih208+RFmPD31NL26N+c7fM8zvB76gLsnmaK8XvGbvGKynrzmvfA7Odflu6bjcTzKgz88OntMuut/Jjy3oRW7/b1pPUn5v7oPmam7JlKIPGMr1DtJx6Q89lBju3jHljtwWhC9yycmvRZiybuNOKi7cS/fOyKmhDxdTTW8h7aiPJ0SNbwuv446JjzWOmKynjrxz5C8dvj+O8fCPDplAda76L6jPJUz47vB5B29PWcAvXO+xrzl0m88syetO+CYNz2lDXA8FP4SPEprC70oEti7S52mOndqyrxXRGW8totjunF2eb072Bi81A3ivJLkKzzCiAS9Ki/0PApJP7zYK7G86HeJPC/b9zskfIa8OEmxu839J710G5O7+m6yPO/5jjvO6Cg8PWeAPIP1nzyeRFA7oxsFPYoF2jzhPJ686fC+u2rYijzqafQ7w0jUu0kOP7ogXjc8czASvbt/NLwjkQW88LlePBxAaDxflYK8Zx5yPH9JHLquZfc8TRbcvFZu47sP4MO7V0RlvEC2tztP7F087xV4vOl+czyCmNO7O9gYOzGVED3rOIy8BvoHPd17GzzqlKU8NrrJO2l7PrqLqUA8oIydvMCyAr0kriE8UcLfOdYOFTvqlKU7WVoXOt4J0Lwv23c7HeTOO98m7LypK788iRrZOvAAeTtB/gQ9SWuLu9VqLjwvlN07ED2QPMReBj1LnSa8Xji2O2l7vryve6m8GSNMO17xG72MBo2891EWvFhvlry93IC8BZ07Pc7oKL2qufO7atgKvTGxebzLbsC7gphTPEUbIb20bse8CzRAO7aLYzwc+U271A3iu77jajziJ5+6LBsovWNy7jrtP/a88c8QvDNWk7zmYde8pfGGPD4nULxcYjQ8gO0CvZ1ZzzsrRSa8ZzPxvI04KD3dkJq8tVnIvKjOcjzMyww8tFAWPG1bzDwxif+8uxIJPOWvqLwN2us5f0C8u4ChRjw7OiU8J0Pju+imLj2p3du8nKC5vL7c8Dxfzmw9P9hzPPGmjDvdyhY9tuaRvKzU4Tzs/r67y6c7PNhF6LxxdXE8UeqBveciBT176Ks8ec6GPE0flT3O3Cy8GHDFutRpLr1nqys8KNGLOr8Jjzr20oM8BJRPvff1Ir3oRSS8P7VUvVINoTvXg1O9wI04vDNd5ryjUNq7OUvyu/Da+DyRCuC8/shiO78sLj1Sbqu8wiO0PAWDgruRqVU9ydNUvf4p7bxO6Xy9d2N9PGS0pTvy7Eq8iUhtPcDuwjyFj9K8DdrrvFMwwDtOJ2i8zIxvPG4dYT2997y8Z21AvGqiMT3dypY9O75OvRKCOTsngU69ZBWwPPEqtjsk61K763oVvaKpkbyoG8c7iCXOvHU4C71eSsO7Qg3lvGMmfbvz0f68d7y0O/dWrTx7Jpe8FpxePbTUv7u7Egm9jY+wvAg8HT0Hi1W9+3BSu/+3FTz2BvC5mQq+Ou7SpT2bHJC8HEz/vCtnB7ym5lU9oswwPbD4hbrg/wc7TlQGvaWFy7xI+/C98HluPOTAdbxO6fw8NYoEu14nJD2JSO06wgAVPd8ip7x/QLw79aXlPBsp4Lz6rj08CxAEvPKu3zrgYJK8bBUOPZChAryf+Ek7jGwRPW8MFD3+yGK8VQQnPBKCubwGB6y8XThxPArj5byw+AW7dwLzvM57Ij2RzHQ7UPtOvXtkgrygWdS86Qc5PAgPfz1ZmiI9tRp+PPQ8iL0Cr5u8FJSLvAPSujypPma8T7UQO3eh6DycP687EA/dvM1YAzyo1Yi8h0AaPIo3ILxZmiK9fKpAPXxkgjv4nOu8JOtSPZFIS7vZlSW8PjErvXxsVbyGfoW7P3fpvJ3D2DwMlK05OhcGvFg5GLqmCXW7ksx0vUXGfzytJB+74AdbPS2KJj1nzko6kWvqvE7p/Dx+fqc8I6UUvdjk3TybHBA8L0PBPPrsqDsVGLW7kWtqPJDnQLxtW8w8Sg1DvVtTPT2V8Bg9vHOTPFNT3zwiRIo8gphMPabDNj0m/SS8MYn/PIoUAT0NO/Y8MYl/PdJXXDuk3gK9d0BePRDRcb1Kx4Q8ijcgO+cihb3PYFa8J0NjPECkBzzGPdm8z4N1PU2+CrwY0c88wXLsu3kUxbxYORg9aqKxu9c9lbp5UjC93yKnPDa19jvFWCU9RxY9vcmVab1Eviy9OMdIvAH+Uzzyrt877xjkvAdNarxxs9w8ABmgug23TD3mcT07XBXSvJMcsrxX2A09ivk0vA4qqb1cdty83tLpPAVFlz0U9ZW8VkKSPSubczyYhpS9uE9vPKqOIzzSV9y8lhO4PEP8l7w7vs47TxabPHqzOrzj28G8J0PjO+PAdb0rm/M7Ef4PvPKLwDwzeDI84OQ7u9IZ8bzrPKo8EwbjPOq4gL0Hi9W8U/JUvLD4hTz3lJi7X6vNPDiBCjzlEDM8xtxOPfe3N7wPTUi9LpL5PEDHprwBeiq8kUhLPbfLRbwQ0fE8IA+ZvKh8UbuGUWc8ivm0O4wLh7yLu0m8H02EPMwr5bznIgU87tIlPXdjfTwkTN08c6piPYve6LujsWQ9NOsOPE4n6Ly0UBY8OGY+vOs8qjyAJXA7w0bTvJFr6jw2ktc75yKFvZscED1fiC68S/J2u1S0abxX2A28MYl/O6WFS71YORg9fh2dvCMGn7w2tfa8LYomvCGuDru2Rxw8KVW1vNZ7AL1BiTs8yO6gPGMm/bwe/ca86EWkPIkUAbxiQck8r8tnvE/Yr7v2BnC8NdBCvMeNFr1TkUq8aX+SPOZxvTnG/229mCUKPUQfNz3JlWk8TQTJPPn99bzBPgC9fn4nvfIPajoZVXk8e8UMPQsQhD3quIA93e01vSvIEbxNQrQ81IxNPOT+4LwsKRw8f2Pbu0mJGboW/eg8fEm2PFvPk7gfIOY8CcDGPK8s8rzvVk+8WPusO1j7LL0M9Tc9bHYYvclyyrs4x0g91j2VvPPR/jxhHiq9t8tFu6KxZDyZa0g7QGacvNFyqDwL0pg8iN+PvLJhY71BpIe9aC/VPJBjl7zF9xq9SJrmOsX3mj21Gn48K8gRujzhbT1c12Y8kcx0vBQzAb1ttAO9x40WPQz1N737D0i7siN4vTlLcr2n1Qi43cqWvOrs7Dx8STa98EUCO9mVJTwB/lM9z8HgvDfiFD3cCAI9e4ehvKYJdb0tDlC8mxwQO08WG71L8nY9zj03PaQBIjz2M449i31evVNLDDwpk6A8t8vFu6gbxzzSuOY7qHxRveVOHr0XixE8Aq8bvZ82NbxSS4y8Pa0BPKC63jwyOkc7jrJPvZGp1TzJlWm9BFZku+4zMDy0UBa81CtDO40uJr14kBu90BEePCm2v73V7Vc8ft8xPXX6n7srm3M9qBvHvKjViDxKDUO9S/L2PL49ezzRlUc9h0AaPPcYQj1HtbK6q+8tvUKs2rtyog89pzaTvBWUC714L5E8w6fdO5S7p7ofIOY8QepFux07Mj1JKA88b6sJPSAPGTza9q875P5gO4I3Qr2GsnG9q3NXvZNanTyLfV68OngQvbUafjnacoa7J5wau/9Wi7zCIzQ82TSbvBrAgjwwx2q8sBulvKvvrTyp3ds8ZukWvFlBazsbyNU8vgkPPKvvLboTBuO7qi0ZvLB8L72uYgq8Fl5zvIkUgTyywm28osywPOM8TDvXe4A7W1O9PEfY0bsPi7M7+ckJvXbf07tQmsS7pzYTPccsDD31pWU9v6iEPMvlJjymR+A8z//LvI2PsLwqkyA8oHzzvKC63rsFg4I8EzOBO/FoIT2cAUS8HdonuhS3qrsHTWq8AV9ePHZ+yTvXPRU9GuMhvCNECrx21wA9dtcAPesZCz29WMc6YX+0vJ5RAT0vICK7kalVPdOnmbwZVXm9Q10ivZTexjx+37G83coWPaItO7wSIS+9YkHJvPn99TwbZ8s8MjrHvFUEp7ygut68/MCPPX+hxrwukvk7R7UyPWKiUzsfIOa8xbkvvbQ1yjywfC+9MhcoPZ82NbxgXBW9FpzeO1zXZrw2MU29DmgUvYglzjzG/+26HTuyPGsmW7iOss+8gRQjuplryLx8ZAK84IMxO0HqRTztrwY9GoIXPEtdgDzecd+8hn6FO5NaHbxdBAU8nlEBvbeNWryqawS9jrLPPMSWEL1MXYC7OtkavNARHr1Y+6w85nG9vPEHFzzITys9smHjOn2P9LzHjZa8glIOvLtG9TsF5Ay9S10APbw1KLxHVCg8tgmxu1vyMry47uQ7l5fhPNQrQ7tg+wq8hn4FvAlfPDy81B27vj37uQT1WTyQxKG7D67SvCjRC73paEO8UqyWvK/L57rxRYK78q7fPPeUGD3j20G8rgnTPOxfybhXDPo7vDWou3uHoTxrJls9RjEJvTrZGryajmc8jwKNPCY7kD0T40M2L+K2O+6vBjud5ve8e4chvHbfU7y99zw8lo8OPH8C0TwF5Ay9Z87KuuKVA7y6I9Y8TQTJu4vWlbzOe6I8oi07PM/B4Du81B07pgl1PGS0pbvwee48CzMjPa6oSL2iaya8CDwdPJQB5jxkdjo89/UiO/ja1juIxEO9xtxOPMiNFrziuCI9rgnTvPsPSDxwUtI8NlRsvBKCuTyV8Bg9Mr5wvOjkGTumR2C9QYk7vAVFF7yFj9K8cgOavYRJFL35yQm9w0ZTO0Qft7w28+G88Nr4vD5vFju2CTE94MEcO4RsMzzTp5m81K9sPJqO5zzd7TW8XwzYvNJ6ezyzUBa7HXmdvKSgl7yIxEM8EV+aPN8iJzzlryi9Ibbhu3smFz0vQ8G86SrYPIkUgbwSIS+8lnRCPXVbKrsptj88Q10iOi0O0LutAYC9I6WUPA+Ls7wRwCQ9/sjiO0SAQTxSSww9uiNWvZ/VqrwI2xI9XsaZO2ngHLxiQcm8+f11vIxsEb2oG0c8uoRgvLtGdTyTuye96zyqvKjViDwfnLy7OShTvHkURbwdOzI8iMRDu1VCkjzAjTi97CHeu3Avszx+Wwi9aybbu9NGDzrxaCE7ryzyvHPFLjso0Ys8rcOUOgyUrTsbKeC8bwwUPYKYzLylhUs8orHkOrju5LgYMlq8ou/POwjbkrsnnBq7FPWVPGpkRjxK6qO6Aq8bvdWvbDsNO/a8CkTwus8i67un+Cc7eJAbPNdgtDwhVVe8DdprvM49N7xT8tS93pT+PLYJMb0S48O8vbnRO/B57jyYhhS9dlsqPG5+a7wF5Iy8jwKNPFmaojzNGpg8E2dtPFfGOz3ZNJs8uoRgPGhS9LwAnUm9ywjGOzXQQrzjejc8EwbjvLtG9bxDmw29ruYzvLLC7boIPJ28amTGPN6MK70eXtE7mCWKPGpkxryCs5g7xp5jPLfLRb2U3ka8lMN6PMKfijxp4Bw93YyrOimToDy/LK48umHBvFvysjtdBIU8XwzYvKEKnDy1Gn48i5gqvDUOLj3Pg/U814NTPFbp2ryV8Bi8L14NPTWto7wg0S28YX+0u/WlZbzrGQu9q++tvN1pDLxxFGe8f7ySvJklirp0Sdi84zzMvPYG8Dug1Sq8s+8LvNxpjLyIJU49a+jvuwKvG7299zy8yfbzOxNn7Txpf5K8G6U2vQF6Kjwv4rY7nN4kPfEHl7z5yQm7f1uIO5rvcTuPAo08gPGDO+zAUzwVO9Q7UeoBvY50ZDvNuQ28Jr+5vLgbAz05rHy8IHCjvIPoibsQ0XE8+q49vE5UBj2RzHQ8fGzVu5OYiLxyAxo9aeCcvKhZMjwmv7k6NdBCu4Z+hTvjeje8ePGlPEkoDzwiF2y8tHO1PLsSiT0PrtI8i95ovK2FqbwYMto4qJ9wu7E+xDykPw28BFbkOp1izjziGa2818G+PIVJFLvwRYK84MEcvJQBZrvuM7C6lS4EvfLsyjw9rQG9PB/ZvGwVDr3CIzQ6AV/evOHJ77wAnUk8kpgIPac2Ez0Fg4K8dTiLvGsm27udw1i7f0A8vGAv9zqtYgo9IkQKPXJBhbuOE1o8+5NxPORf6zyHoaS8nza1vCY7kDyfsou8bVvMPBpELDz1gsY70TS9vLG6Gr1lOE886zwqvSlVtby1hQe4i5iqu4O7a7yc3qQ8OMdIPQH+07xr6O88Zww2PaYJdbx9qsC7ADy/PPcYwjybzNI8+zLnPMNhn7qWsq08wwhoPReusLsh9Ey8dZkVvOXtkzxqA7w8bh3hPLAbpTxoUvQ7qQB7PANxsLyk3oI7bfrBu4glzrySzPQ8CHqIPGK9H70McQ48Pm8WvAsQBL2n+Ce73pT+PLMSq7yWEzi5kUjLPD6StbzvlDq8BsnAvAEhc7y/LK48S5HsPKBZVD1rxVA77P6+O8+D9bxMHxW74/YNu5AlrLyLu0k8QaSHPDP82zu9udE7ZFMbvDXQwjuQ50A8nrILvSRnKb0aghc957f7vIL5VjrLpzs8nYVtPP6CJDweXtE8gRSjO6tQuDwtMe88gPEDvBiusDwBeiq9EkROPOZOnjtKx4Q8sd25u6Itu7v8IZq8NrX2PPeUGD0Spdg8tJbUujFVEzx3Y308/7cVvOs8qjsgcCO86EWkPLD4hTwVGLW7pD+NvLG6mrw1ioQ7La1FPI0uJry6hGC8GA87vPRfJ7wZ9G48cFJSvFlB6zxdBIU7Qm5vOzJ4Mr1JSy68rYWpO7dquzxkdro8EiEvPOs8qrvPImu8Ef4PPOOd1jurUDi8s+8Lvclyyrw7XUQ89F+nvHZbKjz6KhS9oFnUvBultryN8Dq77xhkvFYnxrrHywE7POFtvAYHLDxuvNa8CxAEPEj7cLxVBCe9y6c7vJnnHjyHQBo87MDTvOsZi7z6i568CZ2nvHlSMD1eJyS9O/y5vKtQuDxWSuU84zxMujWtIzxZQes8cmSkuH2P9Ly7Egk9od19u3U4izwDM8U8jGyRPC2tRTvWe4C8YZqAPBiuMDxgmoC7glphO/TAsTzfIic8VOGHvTCkSzxW6Vq84WjlPLTUPzxSbqu6MKRLvK1iiru4G4M7kUjLunPFrrx2vLQ8smHjvMzKWrtfbWK78cmrO1Ynxj2RSEs6WzCevO4QET1TkUo9PQ6MuxiusLzfYJK67ePyu4O767wdeZ28G8jVu08WGztBiTs67F/JPEe1srzucZu9yBHAvOKVAzzF95q7BPXZuhDR8bvrepW7O11EvXVbqryL3ui7IDK4PFCaRL3r2588xfcaPWqiMT01Di48QUtQOXbf0zyzUBY7f1uIuqi6vDwFgwI7nD+vvDiBijwtMW+800aPO15Kwzz+Z9i85jNSPfn99Tt239O757d7PH2PdLpSDaE8DJStO7BZkLvSens7lGJwvJ2F7Tkcimq8xTUGvArj5Ty09149Jv0kPILWt7t4kJu8AxCmvJZ0wjwL0pg8oLreO0g53Lr5/fW73tLpOy2tRTwSgjk723rZPHnOBrvyTVW8Oqx8OyxMu7wptj+8ZLQlPYI3wrzvGOQ82TSbOxfsG71l+uO8d7w0vHzFDLxfq028ZFMbvIlI7bop9Co8dAttvLD4hbs1raO8tFAWPcGfijtSDSE8yld+PCNECjxtmTe83WkMPFer77yizLA8QepFPDLZPLoryJE85F9rPEkojzu+PXu8+iqUvPoqFL0H7F+7eyaXvBUYtTsm/aS7HRiTPMn2czupAPu84EXGujP82zz141A8jS4mvd8ipzwKgls6xyyMvACdybt0bPe8QzoDOU2jPro1bzg9YyZ9vCb9pDtQ+048oi07PGJBSTyxuhq8UzBAu8ojErsdGBM8JyDEO9ud+Dp+fie89gZwvJ82tbzFGro7GwbBvBn0brwy2Tw7R1SovObSx7wxif87xp7jPFJuKzuZ556875Q6PDXQQjyvLPK8u0b1vOq4AL2Bda271tyKPErHhLzrehW8m32avAPSurwE9Vm8PjErO7G6Gj3bPG48QaQHvandWzv20oM8ckEFvSlVNb367Cg8MIGsOwz1N7wocIE82zxuPCQpvjxpHgg7JyBEPFm9wbzo5Bm9a0n6u/twUjxrSXo7CxCEO1C1kDwFpiG8JOvSvA7JnrwDECY7HbeIPEKs2ry+CY88vfe8u1vPk7tBS1C84KZQvXU4C71/vBI8M11mvGKiU71gL/e7PQ4MvDK2nbzF95o8VojQvEGkh7z9pUO9hfDcvEFL0Lw6F4a8VohQPIDxgzz149A8El8avAT1Wb0U9ZU8JW98PCcgRDycP6+82nKGu7175rulhcs8ipgqu4o3IDtWSmW6R1SoOwEhczyAoca75nE9PfXjULkzXWa8JQ7yPF+ILjzRcqi6ePElOQdN6jxvbR699F8nvXPFLrsID/+7CZ2nPH9AvLkXi5G8yO6gPCzrsLzMjO86q3NXvKeXnbtFo+C8+uyoPP3jrjz/Vou7tNS/PEP8F7zsX0m9xbmvvPuT8bghVdc8oBvpu4d+hTxeSsM7Wm6JOgCdybwYMlq8GHDFO8BPzby+qIQ73e01vOT+YL07OiU7y8KHvBDRcTx3Y/28oo5FPOOd1rwID/+8ckGFPOf15jv9wI+8g7trvIAlcLxCrFo8GoKXPBsp4LnLRrE71a/sPLJh4zzr25+64hmtPB9NhDxiZGi8o1BavNnTkDxPd6U7FyoHvP2lw7ulhUs8brzWvJDEobxxzii8XLRHvE6I8jsmXi+8XLRHujTrjjtjJv08tuYRvYZRZ7y9cxO9Fl5zvKtrBLxbkai7hlFnvL0aXDyKNyA8AxAmPGl/kj3GPdm8EV+aPBn07rucP688z4P1uk5Uhjz3GEI8SzDiOjrZGr2OdGQ857f7uqQ/jTzswNO70ZXHOz6SNbzV7Ve8sd25u/nJCTrur4Y8W1O9PEM6g7xjJv08fS5qvBSUizyMoH28pSTBPK2FqTxQOTq8Ss9XvJlryLwY0U87wBFiu/sPyLwlb/w7RaNgujgFtLwL0pi83owrPT4xK70+VEq8sxKrvC6/l7wC7Ya82vavPA4HCr3Xg1O8KHCBO8zKWjlKDUO7uO7kO06IcjzUK0O8sT5EvfJNVTsqF0q9GuMhvCVv/Lw8H9m8jKB9O0YxCTrMadA849tBvbE+RLxs16K7ZycCvV/O7DxYOZi73AiCvO6vhjzjerc8VZWGvGTXYzyoGDa9mPN3PIPvUru6SxK8I5JYvHVEvzxv6628lpmDPMTsQD1q6Fe82mOBvHTGWzyYX4Q98gV/vD5UDLyde8A8rexUvCSZZz1etJi7siyAO3wNFr0egeQ8EV98vTX/Mz2CX5i8AF4tPcDeoj0ac0Y7dnoFvGvWAL2p1yc8QarHvHM2ITxwaRG8hLVTvWeSnLxkxQy8TIjLvL6hzbv9Vh694c7pu0V317zjCz+8/pcsO1v53zz4Raq8scBzvIe8Yj1MvpG8Hfg4PKF+lrxa54g8SfGBvW/rLb0nHlq944ITPcN17Ltnkhw8hfZhPWoXjzx7TiS9C0PAvKVLpjwRlcK8GnNGvBGVQj1Nj9q8G3pVvPubZT3eQmg92ymCvVUeMrxX5DK9zwcaPWUNKjxec4q7triBuv2idLyLfio8QW3yvA9Y7bw2PIm86N9dvD7of7wQ1lC8194OPUKqRzwyRHs8PmZjPS2x6jt+0xa99TcMvT3o/zw0txa9UdrNvGHCNjx1PbA8kmDnPChUoD1ygne9OczDvFacFbxJhXU9OFXvupTTgrzpkwe9RmwPvUUvOrzNysS9kx/ZPHqPsjyWmQM9zYm2vJFZWD12eoW5yQh9uxywG7whAp48JMgeO9TbuLwnoPY7/Q4BvIT2YboXcHC8qlwaPUVlgLy52PY8cYJ3PIHhND3AqFy7YEviue0fCb0W58S88auKO01OzLyGPn88XwNFPHR+Pj0ji0m7QBqNvLWCO7u2uAG7BWgSOwBeLT1oUQ49fNfPu8boh70pGiG8SQPZO8a5UDwFaJK8oEhQO9beDjxoIlc6VafdvMJuXTwJvk29ax6ePGlj5bwtcFy8MkR7PHX8oTxfuye9SXotPffHxryYoBK6mKASvXa7k7uqXBq9GCQavZVjPT2sLeM8LXDcvDzPGT3ENF48yzqKvS1llDykFWC8phxvPGzdDz3Tk5s7oQdCvapVCz2kjLQ8ucYfvYl3mzwgfas8gbL9PBupDDyIOsa6pQqYPHQH6rscelW7/xUQvW3kHj19VbM8NjwJPULgjTzA6eo8EcuIPTSB0DsPBYi8beQePXaFTTysGww92ykCPV49RLzbsq28MvGVPYe8Yr0a/HE8zYm2PG6jEL39ovS738BLPIm4qTwZ4wu9bGa7PQFlvLxbQX081t4OvAm+zbvWobk8X81+O3M2IbwHQGq9bGa7PFcs0Ls+lRo9+AScvFGSsL2UZ/a8WucIPPGrCj3o3108HUDWu0mFdbwpnL08qahwO+pkUDySDQI9JRA8vKbQGLzv5Qk9XsbvvIf5t71a54i80RW4POfNhj3J/bS83kJoPVejJDyooWG9Q6aOunQHarykAwm9KtkSPddnOrxWnBU7QW1yPI+Ij7thgai7ZQ2qPOmTB71LtwI8g+SKupolBTxKOZ88ZZbVPBBNpbsUmBg9dXoFPR81jr1VHjK9sv1IvWhcVj0c8ak8g2anPAvBIzvLe5g8NIFQPZbakbx60EC9gFgJPZy8zrtOhBK6oAv7PPYIVbx1B+o85lprvJcpvjv1inE8PV/UPFWVBrt2egW7bzPLPOcOlbspJWm787IZPY2BgLzXnQA97XJuPeyhpTt6mno9/di6u3yWwbxbQX08T0oTvS6mIjx+0xY8nbxOO/hFqjwlhxC8K2I+vdbp1jwBm4K87KGlPIRttrzJ/bS8SDKQPFv537wS5G49sKcNvMa5ULx5ybG82W5JvDlc/jufQUE8TswvvCB9K7zur0M7Y0cpPaTNwrz0g+K7klWfu6wbDLvrWYg8Qmk5vPUBxjtc7pe8BTLMO22cAb39onS8aeHIPDIyJLtetJi73fpKPFejJD1E+XM8iHAMPfU3DL1IMpC84XsEvaNEF7yGqos8nTqyPP3YOj1Nj1o9zIInvT0eRrwurTE95RldPCZNEb13jNw7kx/Zu8HeIry8Xek8VWbPPM0LU7vJtZc8Q3BIPEo5H722Qa26XTa1vP4gWL19Jvw8UZIwvZGPHrwMAjI9VluHvEy+kTxuLDy9GCQaPPrKnLw3xTQ8Sbu7vMyN7zyYXwQ9Zt5yvK5qOL04Q5i97+UJPTS3Fr1a54g8dT0wO0IhnD1u9nU8gClSvGMGGz1a5wg96N/dO/3YurydBOy8AeMfPWJS8bwFMsw8E5GJvZqusLxbQf07OFVvvHpHFT1B69W8CX0/u6MDCTu08oA9769Dvc8HmjxJ8YG8AiSuO3oYXr04TuC7P903vMxMYb0OUd483z4vPU7FIDxLQC490A4pvf1Pj7woVKC8GiupPFPh3Dxhgag7GXd/vcItT71FZQA9wZ0UvT2Oi7ylCpg8G6mMPKtcmjtxcCC7gu9SvUZ3Vzy4SDy9TAYvOo/JnTzZr9e8aCLXPM+QRbxkxQy9yXSJuzIypL3dcR89xnEzPfRCVDqAWAk9MrAHvZJgZzwcsBu9r7LVPC3nMDwPF189eFLdPMAfMT1RkjA8khjKvOdheryJdxs93vYRvEIhHL0eNQ48pyP+u6GQ7bh0tIQ80tQpPd5CaD2qXBq93/YRPXpHFbrjU1w8I4CBO26jEL3JdIm9r7JVvU4NvryDZqe8SoE8vNVgK7yHsRo6/iDYvCoseLwoHto82aSPOkc9WDwy8RW8Exq1vKOFpTyzPtc8zYm2vMYwpTtJA9k8GC/iO9ahuTy1+Y+8BOquvJdqzLwrYj68VR4yvR+IczxwKAO9nLW/PH/apTytLeM6C7qUO3yWwbi9mj68LLHqvPJ8UzweQFa630l3PDY8iTwRX3w9xugHPVovpjtbcDQ93u8CvT3o/7znDhW6xDTevNGMjLw5i7U8LzZdO3mIIz1crQm9ZMUMOiVNEbyAWIm8qlWLPJfhoLxMvhE9aSLXuy9so7tB69U8cGkRPasm1Dw7UTa7TY/avAO06Dxy+cu7jsIOPfzRKzv4D+S8ToQSvSaOHzurnSi93XEfPfjOVbxtYgK93PM7vXiBlDsgfSs9GWy3uyge2rxwKIO7L+4/PcSrsrz5C6s8GGUoPfAtpzubLJS8aRCAveNBBT3iBDC9ENbQPFcs0LqLfiq9ado5PHN+Prx3AzG9X8ZvvEOxVj0DYYM8KtmSPE5DhLtxOto7s/1IPEGjOLyBpzW8epr6O1ghiLo5XH48hqqLO8UpFj16RxW9kY8ePEMoK7yKSGS8iHAMvfS5qDqeBGy81WArPNcfHb0KPLG7HHpVOzI5M702viU822oQvWhRjjzWYCs96dQVPH0m/LxtJS291CNWvPH+b7u0w8m8Sbu7PMTswLyZcds8EFS0vKB3h7zc87s8/Q4BPXuPMrs6Sqe8zJR+u0GjODytari83/YRPSnSgzsnlS66S4jLu2gi17xBYiq8lBQRvMCWhbydMyO7RWWAO6QVYD11egW9YlJxPJmnoTpB69U7FJiYPIhwDD29HFs9xjAlvaTUUby4SLw7xfrePLDvqj1v6628lBQRPB1AVjzZ5R29UIuhvPgPZLzQTzc71Ns4O3Z6Bby7FUy8bK5YPETnnLw0QEI865oWvLa4gbvyNLY60RU4PD2OC7zyBf87BvjMPJJVn7v5jcc80BnxPJGPHr2EbTa8ftOWO965PDxhClS7IhT1O34m/LrWoTm9MvEVPGA5C7zIrgg9mXHbOabJiTzx/u88gaAmvASpID22iUo9QWKqvFPPBTy0vDq9fB/tu/gW87w0t5a89n+pvfjO1bwWXhm9ZMWMOZQUEb05izW8i09zvNeoyLyKSOQ8VNaUvLhPS7uZ6K+8SPzJPMSrMj3avXW8U88FvaQDCT0fiHM7ruGMvFJRorzAlgU5+0gAPRcdizyUFJG8yMBfvDhDGD2hfha98zvFPH6SCDpk0NS8UBRNPXgKQLsxczK88jQ2PPxa17o4hCa9mKCSPDrIiry9ZPg87qi0PCAN5rnmDhU8y0XSvE2EkrwZd/88i8ZHPLe/EDuQR4G82jRKvJ/DXb0x6gY8f9qlvO6vQzyd/Vy8b3TZuz+cqTw+VIw7qFlEu7yTr7wS3d87GispPKqv/7rtHwm9kNt0vPgW8zxxsa68b+utu7oOPTwTkQm8XK0JvUAajTvqpV48cXAgPA8FiLsLzOu8sXjWPIUsqLw0gVC8L2yjO2YUObucvE68sLnkPHkRz7t5EU+8q1waPFi1+zs5Agq8AZsCvZjzd7xi/wu9VlsHO1ytibzmkLE7tDoeOf4gWDwTGrW86eZsvG5iArsDK729/Q6BPDPCXrx6j7K84bySvAe3vjyp16e8IcVIO9o0yruY8/e8CEd5u8R8+zzMlP48RKaOO5JOED37SIA8OkqnPHIvEr2SThC9yXQJPKGQbbzpnk88PeFwvGBE07xkBhu8zUiouwe3PjpNj9q8FV6ZPCnSA73Hrog6ywTEPD8lVb1y7oM6N9D8O+0qUb26zS67JVjZPIm4KT3yBf88QBoNOSKAgTzra185f2PRuyUQPDokCa07X8ZvvPxa1zxFbI88KCXpvCPBDz2QiA89fJbBPPmNx7ta54g7MjIkPbAwObyGPv86XnOKO4/U5TotXgW9yAHuvPc+G7ugSNC8kIiPuvOyGTw4izU7wlwGvV1+0juq3jY8IH2rOYt+Krxfehk9nTOjvD3hcL2UnTy8lqTLPKbb4Dzzshm8vdtMvQDn2DwvbCO8kY8ePSUQvDvv5Qm8RKYOPDnTUrwYJJo8UlEiO0/MrzyjRJc8QW3yvOdherqm2+C8gJkXvaI9CD030Hy8cYL3u/gEnLyoI368luGguv/UAT3gtQO82CasvOtZiLnjTM08JAmtvJbsaDzWKmW8OYu1OyegdjqHsRq8w6QjPBr88Tu9ZPi8HTlHPJRndj0Zd388KBOSvGnaubw5i7U8OFXvOruMoDyCJZk7KiEwvB41jjzB3iK830n3POZaazyCX5i8eZr6vLyTr7zJdIk8By4Tve4mmDs2vqW8rBuMvKI9CL11Dvm8lyk+vKI9CL1m3vI77WAXPc6JNj06yIq8pQoYvW5iAjy08oC8DRDQvAW79zjCXAY9kde7PB6Ic7gfiPM6TBF3O/ub5TyAKVK9UJ14vCDFSDwrYr68wWfOPLhPSzwlF8s8x3hCvf0OAb3zO0W8bKfJvKsm1LxSImu8aWNlunU9MLxAGo09rqtGPUSmjrwgfSs8g+/SPHU9sLzXqMi5nf3cPA0Q0Dxs3Q86ZI/GPPqJDjzlB4Y8FnBwPUmFdbzmDhW8y41vuwe3PjxFZQA95lprPNzzuzvLRdI8vAqEPHGCd7xqF4+7rTTyvAS06LvmWms8LV6FPMayQb1E+XM8WbHCvKUc77zSFbg7dkQ/PXeM3LwTGjW8bSWtu3a7k7z7m+W7be/mvNq99Tt2hU08XTY1PHqaej2wueS8iz0cPZTTAr0lWNm5+Y3HOycMg7ySDQK7cXAgPcVqpDzlSBQ77nLuu0tArjwbMrg8FV6ZvFdiFr3Mw7U8mPN3vP8VkDwqLPg76ZMHOyAGV7rCpCM9VpyVO30UJTyKNo08DT8HOxXgNT0GOVu9PlSMPLHAczzFKZY7qt42OqHGs7rfSXe8rmo4PSqYhD2arrA8cTrau4TkijuxtSs8edDAucGdlLjhhkw8MbvPO8HeIrvtKlG8/547PJINAr3wbrU7sm0OPN9/vbwyMqS8Mvzdu7VBrbwtZZQ8tYK7u9nlnTzJdAk8pttgPIAiQ72rpDe8KaNMvPyi9Dxsp8k83kJoPOmTB7pBYqq8gFgJPVZtXjy/HzG7cXvovH0f7byaZhM8GvxxvIjD8TtTFyO9m395vBFf/LvLBMS81VmcvO0fibq3yli87mcmPEe0rDw7Uba7j4gPPPAtJ70PWG28s0VmvNuyrTzHudC65k8jvYUzt7zRjIw7ecmxvMR17DzavXW8rezUvKAL+zxv6y098asKvb7QhDy8XWk7kg2Cu9HNGryXq9o8dAfqu99JdzzSXdU8VZUGPPIF/7rGMKW8YlLxPC0vzrwFJ4S8NLeWO0crAT1m3vK7UBTNvFPWFD3FKRa95w4VPX3eXjys5UW7Exq1vBBNpbwMAjI8oj2IvKbb4Lzr7Xs64MfavA0JwbuYoJI7fRQlPK5quD2lUjU8/U+POu/lCT2+GKI8wlwGPOOCk7zdQug8EF98Ow2AFb2sLWO8mzdcu/TAtzxEpg47RWyPPMImwLxQ0769bWICvYCrbjzr4jO8hrxiO+rte7wHLhO86ebsvKI9CL0J+6K87/DRO9BPN73lkLE8vdtMPWZVRz3bsq08e04kPAn0kzxF7qs8rCIbuz5UjDn7SIC8fA2WvIJfGDyhfpa8zI3vu+DHWrp9VTO8UdM+PRXgtTy4foI8LySGO2hc1rs5i7W6jMbHvESxVrydOjK8zok2vCoseDw1fZe8E2JSPAyL3Twa/HE9lqRLPBPZJjuJdxu8zZR+vAh2sLgAHZ88eZNrO7Jtjryv6Ju7TP+fuuA+LzvhvBK8lezoPGEKVLt1/KG8ikhkPMaywbwtseq6Vd2jPK408rvF+t48gbL9u8HeIr04Qxi9PRc3Oy1llLtwKIO8+BZzvNdnOrvlSJQ8A6KRPN72kbsNgBW89LmoPMBgPzsHt747wm5dPKKQbbuGvOK8y41vuxupDL1t5J47nriVPAHjnzwwK5U8g+SKOuUHBjmvKaq8K6pbvCyx6rxtnIE7YDmLvDlcfjzW6da8vJMvPHoYXjwlELy84QSwPCKAAT2E9mG7Re4rvXmIIz06UTY8vJOvvO4xYDoT5O684YZMvNIcRzwAKGc8GiupvAnF3LsPWG28WDPfPPHzJzuf+aM5By6TO/SD4juaZhM8nTOjuieg9rvIAW683u+CvGZVx7uabSI8bmKCvPGrirzZ5R28ZAYbuzG0QL3Tmio82ymCPO6oNLtLt4K8lpmDO+USzjvaq56844KTvE5DhLzdAVq8POHwu6WTw7wvJIa8b6qfvHkRz7x4QAa8D9ZQux52HD26Vto78zvFvJigEjt8DZY8CHawvM0AC70/ZuM8IxR1u5Rn9rwNhyQ8cCiDPClbrzzIroi8w2MVOyGEurzCJkC99/2MvBckGjmV5Vm80l1Vu42BgDx+ndC70Z5jvE9DBL2oGDY8WCEIPWnaublwKIM8X8bvuwUnBDxsZru8NIFQvfJxC7zbvXU7yPYlvb1SIb3FKZa7LGlNvEf1Ory+0IQ8zMrEvNUYDrx8zAe9GeoavBLSF70FaBK8AiSuOUn4EDyk1NE8PyVVO4s9HL2oI348wm5dPNhnujxTKXq8LLHqOQXxvbsoHlq82Casu3hAhjrAnZQ64XsEPNq9dTxpmSs8JhdLPSVGgjxJhfW773n9Ozc8CTwFJwQ6Rq0dPeJMTTywueS830n3vLwKhLxuoxC8LLHqPLK1qzv+38m80A6pPCos+Lzt6UI8xfPPO1mxwrz4FvO88b3hPEzJ2TzNAIu8ltqRPOEEsLxC8mS9w6QjvDFzMrzmWms8zxnxO+DH2jxzNiE8NzwJPCRRyryZ77681ulWvDLxFb2Zp6E7bSUtvKofRb1/pF+8QCXVvOviszzNC9O8DRDQPGeSHLwBrVm8s/3IPGroVzvPkMW7EFQ0vIaqC7sPBQg9/FrXPOC1gzym0Jg8kY8ePck+wzzMysS7vdvMPKtcmjzrmpa7mvbNu9UYDjyWYz08sa6cuxamNrt0xls8RWUAvQ8FiLzur0O8E1tDOlIiazuCHgo8Yv+LPMfvljvUpfI8NXYIvfNxi7xODb68k97Ku8NuXToFOds7lym+u5ENgjyyPte5ssBzO5NVHz3J/TS8AeOfPBLk7jsqLPg8ppPDOzpcfjvRzZo8/NGrPGxmO7wx6ga6Hfg4utuyrTylFWC7UJ14POdherq9ERM8b6qfvJmnoby0ReY8tHusPPZ/KbyIQdU8aSJXvOOCkzwQ1tA7fNdPO/uJjjznDpW82mOBvCZNkbwJPLE6Rz3YO5s3XLyZeGq7TsUgvKUKmLzTUg292eUdPW3vZr1E5xy7nH/5vNVZnLzB8Hm8zUioPHU9ML2WpEu8JVhZvOKN2ztxsS68k2d2uxUoUzwDbEs7lGf2vGhcVjz4BBy99XiavL6hTbwNCcG8CX2/PPeGuDs5i7U8P5wpvSxpTbz9GUm8BTnbu3IAWz32f6m8cri9vLyTrzx50EC6jpalOmN5uDumFhe9z6/4vIQyJj3bbAC9iZ32PFh+djzcl4O841havJ4nOz2wpRm9DUvEvDTbwTzufh89KbV8u7x+vDtTPqk8xnZ8O79J5jwtZAs9EwO3PFAm3byvT5M8YuL1vM6EdT0KgBq9YPguPQJyoT37rUi88D3ju1sCAr2DUcM8cEuKPL+1pTyobB28EKHKu1fqNb3m2eM7c8Atu5FCsjutrOq86C9qvIwhAr06k7Q8y9joOyghPD3q0hK8ee3DO/548jwlv8+8vYqiPKK0qrzop4874+8cvbjxTL0Vwnq9zxs4PMpvKz1lRGK7e9oMPZGr77xqPRG9fw70vIA5d7tNEZO8tjKJPH96szwBR567+szlufG1iD0UDx09aoexvPN0zLzrKBm9gibAOcOrUjyCB6M7y5quPKYWF70dSBk7le6+u+X7Ar0yRwG8PfWgvJEjlb0bMM28IJ4fPVVKD7z6zOU8psl0PUWX2rzVtA28n3FbvMVtGD2z+5+8fCStvRNsdDtzVO67vYqiO6DpgD3pWm29wXTpu9n0WjtCoS09kavvO9YKlDx5eCC883RMvcDgKLwNS8S927agu4m/lTtXCdM8dWDUPEhlhj3p0pK8Rbb3PBFjkLtMMLA897cbuoQypjt+xFM7JjRzvNLmYTxl26Q7AGY7PUAsCrxdoqg80FKhPCR1Lz0Vwvq8x6F/vY7gxbyyGr28npD4PMFVzLylCrE7BBJIvPAeRj3XChQ7T2eZvPA947szhbu8I0osvB5IGTz8ua47MHnVOVLJhb0gMuC8bXF4PNno9DqL83w6SzCwO/h23zz67gS9X2HsPPNVrzwC2168ztGXvJvw0bzqZtO67FOcudNehzyU4li9kkKyPPAeRr3jWNq8FHhaveM5vbzyk+m8Vihwvc7RlzzEIPY8/sUUvcdX3zx06zC8+A2ivUzEcDo0JeI77X6fPKujhj39b448aj2RvXGVqjxMxHC89fVVvRK5Fj39TW88Z+cKPfSAMr2A71a8p4u6PNAnnruiHWg8gBpavWYlRT3cK0Q922n+PFBFej1SyYU8BT1LPVMTJj2W7r46jgvJPCOUTDz2INk7o2oKPR7cWbwa5iy9rm4wPTp0l7ywxDa74G4TPUqQCbxm26Q8B/+QO44q5jzZix29LM3IPY/NjrxQB0A9s4N6PCiKebx3i9c7157UPJjbhzyxWPe8ZWP/PDXnJ7zp8a896fEvvEWXWr2ecdu8QMBKOmGYVT0VLjo8soP6uy6PDr37GQg9J/Y4vUP3szzBKsm8LfjLvNQdy7zIY0U94I0wvX0wk73Hwx68NPreu9hgGj30YZW7o98tO3v5KTxnMSu99iBZvIbSTLu8NBy9W7XfuR2SOTxRB8C8MaTYO4tAn7yBRV07BT1LPdPm4TrMppQ84Ux0PCs5CDxCFlE8J0BZPJbuvjpommg9157UPOC4M70KM/i8laQevdK7Xj0F8yo9sePTO0Yunby2UaY8tNyCPZsP77zIzwS9Dw2KPPA9Y7vnfAy94+8cPYbSTDxIZYY8y3uRvLx+vLvN8LQ8CqsdPX2ZULzZYJq8g1HDPOgQTTucshe9EOtqPdaS7ruFiKw8DSBBPOsoGbzxaGY8sKUZvZAXL70X+eM8LY+Ou8x7kbuxxLY8loWBvGWwobzZqjq8KCE8vRdGBj0zZh69DnbHPAv1vbuOliU7NPreOxxntryg6YA9EY4TvdVn67vixJk8hj4MvBHrarwL9T08/NhLvUVNurx/erM6EWOQPSasGL1vXkG9SgWtO9wrxLtVSg89Kw4FvZbPITwlCXC9eCt+PEg6A708FL47DiwnPAvKujxqG3K5V78yvH2ZUD3Kucu8y3uRPNmLHb0WOqA74nf3vJpQK7z+xRQ9IfQlPT4/wTwnNHM9aJrovHo3ZDwqwWI9DnbHOxSX97yzrv07rGLKPI/sq7sQoco80sdEPV2iqDzVPGg922l+urizEr2CJsC8shq9vIp+2bxxSwo9lQ3cu7LvubsM1iA89fXVOolT1rzegUq9bz+kPO7Iv7ye3Zo5JVaSvEIW0btaaz87vFO5u30FkL2GPoy9K6JFPVsCArz82Mu7e0NKOrOufT1SMsO6zyeePGEEFT0Odkc8MkeBvHjh3bvjWNq8jpalPP1vjryXsIQ6PwGHvcOr0ryLqdy8sQ7XPLWbRj3VtA283jeqPFa/srvW3xA9qgzEvIeUEj26clY8UJIcvdtpfr3l+4K7tbrju7w0nL05slE9rUOtPI8LSb3GpIG8/I6rvGLi9bzw1CU5TYY2PJOYODwh9CU9jpalvVuWQr0/tOQ8g5vjunLfSr1BghC8bxQhPcLKbzyqeIM8nnFbvfFo5jwiAAy7YZhVPFxYiDxL5g+8eq+JPIp+Wbyyg/q8CenXu28/pL3RnME9fjATPQ84DbwuuhE8FVk9vT5qxDxX6jW8eVkDPdZIzju25WY8W7VfPTsI2Dwoivk7Rni9u3TrsDxoe8s8ztGXu5H4Eb2L8/w8RQOau8DBC7ywxDY8wcELPYtAHz2+QII7O1L4PHTME70lda87rM6JvNo+e71xaqe9woBPvFBFeryEm+O8pn9UvcSMtbw/lcc8uBzQvGEElbxraJQ85iaGPD1eXjkVLjo8ndG0vDJHATxdg4s82RP4vG+JRDxFTbo8ywPsO69PE7q50i+8/sUUvc7Rl7x5WQO9l88hvYImwDwbpfA5IyuPO1VKjztQkpy6qIs6vJWknjux41O8tNwCvGpoFDyY+qS8014HPcZ2fDyiHeg8gIYZPSp3QrvRCAE9FqNdvX2ZULxc4OI8dMyTu76KorquQy09fbjtOw8NCj2sgee722l+PKqjBrtzCk69fsRTPLRwQ7z34p472X83PGEEFb2nqtc822wAPer9lTxit/K7m6YxvJfbBz1btV88Vr+yOys5iLwGHi69+oJFvZ9xW7yszom8CL5UO5DNDjowEJg7E03XvK9Pkzzk+4I8L7oRvSE+Rroujw48VwlTPcekAb1YU3M8DPW9PFn2GzzAwQu8NjHIvKvtJj3musa8z0a7PEllBr0p44G8muRrPHTME70Wo129oj8HvWhQSDxkGV+8Sa8mPVX97DyOlqW80XG+O/+j9bv7rUg8puuTu0bCXTs+AYc8gKU2PE6xOT13TZ28jpalPGvRUbzscjk8fI1qOgSpijqhfUG7f3qzPPYgWbz2IFm7KbX8O+BuE73m2WM8AZG+vLbl5rpS6CI9VGmsO9SJCr1Fl9q8hF2pPCm1fLz8Iuy8eu3DPOxyOTx3AHu8WV/ZvFbeT7uAOXc76v2VO8dXX7uoTYC8VijwO1h+9jpoXK68ndG0PLNk3TsWZaO7quHAuskZpbw9qH68PJ8avPCKBb1OpVO8OR6RPCVWEj2h8mS6/K3IPMmt5btX6rW7Dw2KPJjbhzz+LlI9p6rXvP0DT7xVSo88WRU5PJ+7ez3LA+y8YAQVuhbtfbn0YZW8G6XwurODerzPZVi8ib8VvEn5xrtTp+a84G4TPSrB4rmvAnE8KCE8vB0dljymNbQ8isj5OxGOEzxGDwA8bTM+PegQzTp1YFQ7a2iUPOQaILxDQdS8vfPfu8GfbDywxDY827Yguy9O0rs5h868Rni9u+la7bzzVa880ubhO7NFQDxvFKE86acPuoAaWj3E1lU9BJ0kumZvZTxlY3+9xqSBvEFXjbxTPim9JHWvvTmTNLv6gsW8R3g9vKd/1Lvom6m8tuXmO9BxvrkloDI9Y3k4PLn9Mrt29xa7iVNWPeDX0Dwlv8+7jUyFvFjLmDxtUls8wuwOO0g6gzych5S8XVgIPA5XKj3h4za9FxsDvciC4jzRnMG8tAeGO/qhYjyotj28cUsKPUllBjszZp481TzoPB37drwhXeO8DuIGPCH0pbz+mhE9J9ebO9Fxvjs5HpE82tW9vExbM73Cyu88XQvmOxbO4Lw/Syc8PmrEvOWPQ72/lgg9EdizvGVjfzxBCuu82wBBO4R8xjwdHRa8riQQPDsIWDlm26Q8QqEtPGSFHjxtJ1i8J/a4u1n2Gz1n5wq8s/sfvMdXXzwCJf+7DUvEudSoJzwD58Q8Xs2rOoWnyTxjeTi8R4QjPWyTF7yKyPk7jCECPPnuhLyN/2I83OGju6Y1NLzuqaI5DSBBO2VmATmI3rK8Sc5DvGN5uLwkSqy8IKoFvVu1X7w+Xt67R6NAvPaMGD24sxK9AWY7vJ3dmrwvTtK9CoCaPPKT6Tuzg3q8B4drvDRyhLtezau7FaNdPD31ILsmNPO7UjLDPGwnWD0PDYq8Kw6FuweH6zxVSg89IH8CPUI1bjzHDT+98LUIPPqCxbyMIYI8ywNsu4Aa2rxMMLA8AnKhu4aILDo+Xt67nRvVPA3iBr01BkW6CelXPLlHU73ncKa8pClOvGe8B72H/U86sVj3PEbC3Tz/Org8loWBu+LEGbyB+7y7RbZ3vEn5xjwU5Jk86casvOWDXTxmRGI8jf/ivCbLtTw0nYc8DWrhPIuKP7wJn7e7w6vSPKHy5Lx+43C8xgFZu3yNarwNlWS9NZ0HvUDfZzxQB0C8tuXmuV/4rjv7Y6i8OGgxuBtb0Dsl6tI7h/1PvNzhIzw76To9VkoPO+8SYL0R99A7155UPFshHz2fu/s7v7UlveEC1DtFtve8pHNuPdLHRDs5stG6wheSPDUGxbzjDro8xdbVPHv5qTxydg08nDryvM1ZcrvKJYu8/6P1vFe/sjxO0FY88P+ou76pv7ytGCo8eQxhPDemaz1D9zO7Iojmu7Z8qby//0U91NOqu+FuEzxnMau7O+m6PPpjKLzd7Qm7V78yPK0kkDy/awW9UhMmvBxntjzaE3i8W5ZCu8gZpbui08c8tuXmOxUPnTvOhHU8PyAkvG8UoTyfUr68hhztOys5iDsiacm8c6GQvPsZiLz/xRS7oOkAPJGrbzxEi/S8GNpGvJQB9rzhuLO7t/HMu3dNHTzg9m27mTGOPK1DrTwQzM27Ub2fvPIqrLwOdkc8oV4kvSXq0rs63VQ6PmrEOglVlzvCgM88Sc5DvIPoBT3L5E698bUIvY1rIrptcfi8oYknPPfinjt1qnQ88IqFvf7FlLyOwai8pusTvEW297xlRGK7xqSBvHb3Frt8jWo8kfgRPWEElbw4PS487Qb6PPDzQrxkOHy8HWc2PERs1zzuX4I87si/POZFI7um65M8T9w8PVshn7yL8/w6O5+aOrUHhjzn5ck8LtmuPC6PDjyR+JE8JhXWPEnaqby53pU897ebvAzWoLsw5RQ8xPXyuur9lTuApTY71bSNO0okSr0pAh+8yRklPaGJJ70d+/a86TtQOyRWkjtfYWy8HGe2u1igFb1AwMo7mNuHPLg7bT0CcqG8ihUcPdpsgLy0Bwa8PyCkuxZlI7x9BZC6ZDh8O1cJUzkt+Mu7h2mPO5CA7Lst+Ms89fVVvF13Jb1i4vU8SflGu878GjtQRfo6wjYvO75AAjyz+x89seNTvEKCkDyJnfY7vH48u/xvDjy1m0a9+Cy/PHAgB7xdg4s8YlobvIMHozyx77m8X2FsPF3syDwmyzU9V+q1PC3ZLrrmJgY7GXGJvKdBmjwoITw8dwD7PHv5qTzUHcs8d4tXPCnjgbx6N+Q7otPHu3AgB70IvlQ8qE2AvHA/pDqJCbY8CVUXPMiC4jxDrZM8/djLPJ6Q+LzYNZe8LyPPvMehf7y8NJw6bTO+vJbuPjv1q7W8XQvmPE7Q1rpLu4y8LK4rvVlfWb2h8uS6+e6EvFWULzxJZQa9uPFMvVstBTwptfw4z2VYvGX6QTt2bLq8afBuPIPoBT3bH168wheSPDSwvrsNleS7yM8EvKKoxLv/o/W7IDLgvIi/Fb3Z9Nq8muRrPMymFD0c0PO8hfFpvRlP6jxqaBQ9UZ4Cvfk4pTnQkNu71Txou3K0xzsnQFk8FHjaPE+xOTwCcqE8VUqPPLlHUzw9qH66DUvEOwQxZbzA/8W6340wPO5+Hz0dHZa7g+gFvQh0ND32jJi8xnb8PDF5VTyRq+86bXH4vDsndbzkg908H3Ocu1M+qbwCU4Q7JhXWvLGlGTyC3B+7/zo4vDYxyD0jKw+7KGvcuyTe7DzbSmE8XMHFvBkFSrwmCXA8+cMBPZFhz7zFtzi8Cz9eO1AmXTzdNyo7pVTRPGuTl7wvupG9pClOPBTkGbwW7f28Ub2fuvKT6bx/DnS7mlArvUTYlrut+Qy92DWXO8B0ab2H/U88lcO7PMfuIT2yOdo8GjBNvK8C8TyJNDm8Rg+AOzSdh7whXeO8d5c9vZ3RNLyUeZu8qLa9POgQTbuMtcI7tsZJPaGJpzy1JqM897cbPRgkZ7zTqKe7hMZmu+EC1Lucshe6UXB9vGnw7jtGLh26I0osvL6pvzx3tlo9vYoiPcNClTuMayK8FS66vFjLmDyKX7w7KuD/uSfXm7qLXzw8saWZPNPyxzubXBE865HWPJbPITxHo0C81kjOO/qCRTtV/ew7XeBiPLTcgjqpAN48iZ12u+pm07yGp0m99MrSvF9CT7y0B4a7VNLpvPh23ztp8G48Ri6dPJumsbySjFK7diKaPOSD3Tns23Y8yPqHuqyB5zvHof+8ud4VOzAvNb3pO9A6K+B/vNyXAz1iLxg8Kg4FOyI+Rryg5n6841jau5FCsrvncKa8FOQZPHLArTx4LgC9CHS0PAiTUTzHpAG9lHmbPLTcgrs+1gM8FOQZvRhGBjwBkb67d5c9vGVj/7tZ9hu8ZvpBvKDHYbvPRrs88wuPPBZlo7yubjA73lbHPFGeAjs4PS689GGVvHgugLyB3B88CqsdO/RhFTyxWHe8YsPYvOWDXbvyKqw7C6udu2JaG7ysgee8D8DnugLb3rz+mhE8r0+TO6640Dt9MBO8GCRnO4FFXbxS9Ai9HR0WvCuDqLsvTtI72cnXPN8YDb1M5o+8D8Dnu1jLmLwB+vu8/I4rO6i2PT3iDjo6GU9quyIAjDvhAtQ7Gbupu+dwprz8RAs9LtmuPIYc7bxqG/I8f3ozu53RtDziDjq8uIiPOsDgKLyTThi9t6csvDAvtbt1FrQ8LBfpOiwX6TzwioU7XHclu6XAEL2EEwk8tNwCPdeeVDu5ZnA7LroRvNoT+DsevTw7rfkMve0G+rsDnaQ8dwB7vNpsgLw9qP4615LuOj71oLkbETA8Kw4FPBJBcbraPnu84CHxvKPTRzvPJ568lhnCOLTcAj3C7A48UL2fOxjaxrygfUE9aOcKu6i2vTsUl/c72j57vERsV7x3i1c8xLc4O6hNgDzrHLM7SISjvDwz2zxxaie8KsFiPbnelTx+T7C8PKsAvAbUjTzSM4Q8FVk9PUnOwztfQk+8txBqvdo++7xEIre753wMPe1yuTzO0Re9WV/ZPNmquruOlqW6pEhrPBXC+rsHSbG7+szlO9SopzxI7eC8DbcDPeWu4LxmkQS9SBjkvMjPhLw156e7mETFuxGtMD0QoUq82mwAPPCKBb1Uaay7KndCPGVj/7wuj468TRETvM78Gr0qweK4ZDj8u88buDwQocq8GbupPLW6Y7zXChS89GGVPLs0HDxGDwA84G4TOgwBpDwl6tK79GEVPWPuWzw5stG7tI9gPG8UITwp44E7VijwPK96FjyL8/y7LyPPvKDHYTxl2yQ8A+dEPLenrLsjSiw7bemdvNjo9Lu+HuO7qdVavCYV1rtLu4y8L05SPCMrjzuJU9Y8LroRvMEqyTvnBGc8xZgbPE0REzwvI088hrMvvJIjFbzFmBu8W7XfOpXDuzyh8uS6cf7nPKlNgLvXntQ8pVRRvNzhI70yhTs8AkeevDOFu7y6/bI6AbDbuzORobsw5RS8X0LPudXTqrodkjk8Ux+MO9SJCr1S6CI98zaSOxlParx2bDo8ylCOOnAghzxskxe7TjwWOkVsVz1ZFTk8udIvvPJJybzBVUw8NCXivOEC1Lzom6k8UEV6vFgVubyobB28VbNMPaeLOr099aA7gdyfvOVFo7wNamG8Or63PCvs5bylwJC8QetNO9Q86DjAlgi7ERbuO30wEzxS9Ig8whcSvZKM0jtqPRG9014HvVWzTDwmFVa98BJgOX0FEL16N2Q8FcL6u3kM4TvfjbC8tbrjvJwbVT03puu7jWuivKKoRDzSu148nAsYPJS/gTxhQQm9gzkgvFW2WrtePJS81NCxuxOR/jskAKC8iyIIvQd1IT27wYK8w+chvOVC5zzy0oo9u3UUPLUDhzsp5BI9OMgtvHfoFD1p3gI9Tqd7PAZh9bs2OpM8d+iUvQbnhj0sTLa8byUkPQSWoz1pQTG6O/MZvJOF3rwp0GY8xNjqO6c2LDseaBs8NgDwvEpOD70kTI66oRUCvXb6XzxB1wy9+JAGvOI9crzatCS6vnoJvPvSsjxxjUe7452MOeQFMD3Qxkc88r7ePDSYTLxdKGg8BUo1vVsRKL3GjHy92o6tPNqOrTypeFi8xTiFPdfVpjzGjPy8ZJr1vDyBtDzz6Uq8UeYTvGbrWD2J0aS8YfUaOuKdjD0vjmI9wbw1vTQ1nry5cJ+8NoYBOvXuvzwtPX85BHAsPC2dGTxYWKE8D14JvaW/Ub3vGQS8HI6SuxkSQ73z6cq87aIpPVi7zzx3cbo7A7yaPbeRIbpT6wi9ewTKvJyrfT1T6wi9TkRNvTdRUzxvJaQ8at6CPAouqD3BMxC95KIBvNjG77t21Gg9YTJSPFhYITzjUZ68ct4qvVnmO7wiOOK9E1THPBDY97oAA5Q8uFxzu7jihD1eYou8oml5PEGLHrvGjPw8dM/zuyi5JrzK9oC7MaIOPHEqmbt2+t+65wolPefkLbyhUjk8FMuhPDcUnDzT9ig6yMsUvFakj7yaV4a8ktHMOb8um7xdYgs8LQBIvFjhRj3M0Im6sK0uvelyyLsdpVK8VXkju9wcSD2LhbY7gcJFPG2Xib0B3Zw7r/kcvdrxWzzuuWm8VZ+aPJ1IzzylMbe8HNqAvPusOzwTPQe9B08qPC7a0Lw0mMy8goWOOxs9rzzM50m9a6nUPN4hvbySNHs6zMFSvZwi2Lwxuc68p4cPvJ8nzTxDkBM9ivyQvOj7bTzby+S6+USYvc6JkDwyR2k8ZevYPLv+OT0Ca7c83H92vU+VMD3bBYg8TVOEvRn7Aj1KsT087O4XPfI1OTyX27a8FeLhPITtMbw8Hga5PfgOvRleMT2sfc08HWibPBjBXz3Qxkc8lXOTPbb0zzwfWeS80D0iPSGEUDy5Sqg8ESnbPP+LuTuv0yW9LlErPU67J72lqBE8UtfcPIdpAb3gTKm7Rm+RPHRsxbucv6m8nuqVPQabGLy+oAA96FsIvLI7ybvFT8U7ZmKzO/SGnDtORM28E1THPDgrXDzs7hc988PTvJlpUb3SCPS7KW24ugq3zTyUOfC7zxI2vLeRobyoxMa6iL34vIUYnjyLOci7RtI/vBASm7wHTyo9NYYBvaUxt70BLoC8peXIPBORfj3z0oq7b65JPSMmFzs/w2C9jNYZvFJ0rrl+40e8sWFAPUDXjLvRyzy7Ad2cPOcKpbwHTyo8hD4VPXBQEL1vJaQ8K3KtPITHujwp5BI8RUSlPGy9gLuRugw9wEXbPIRkDL3KWS+9iyIIvR4cLT0fkwc8Pg/PPOCv17vMSvg8VpBjPRPxGLoKkVa9JmhDPDZgCrz487S8rkULPTq59rxWyoY8gzkgvA6WS7xGNW48kIDpPMR1vLuK0aS7x93fPCe5prtYldi7MXwXPQ6EADwKVJ88FRyFPaJp+Tvm9vg8YUEJuptuxrxDfOc8ExeQu9KlRTwWlnM85vb4vBqJHTwW0JY7omn5vKWCGj3OXiS8MTCpOq5rAjlciAK9zEp4ugtUH72K6GQ93qriO0PcgbznMJy7KdDmvBaWc7wFSrU7c7gzvPPD07w/w+A7haFDPcJwR71ppF+7iautPHxVrbu0ZrU8Q3xnvPU6LjwaiR29cDxkvPPDU721ZjW8jj49PAWt4zssie28DH+LPAtrXz1RwBw8ZYiqPEzzab1Vn5q8XIgCvU0tDbzbBQg9D14JPQy8Qj2n6j09w8EqvR3LSTscVG89xsYfu0GxFb2aurQ8RM3KPAhm6juwEF08C1QfPX9aIrz0Oi49tQMHPLlwn7yHCee8oBWCvFbKBr0HdSE9KiHKvLRmtbzatCQ93kc0vJK6DDxoU3y9m25GPMnxi7xZMiq4IhLrvHAWbTwnQsw8vBX6vGQ3R73GA1e9Amu3PFJ0Lr22Gsc6IA12u9+Ylz0MH3E8j8xXPBkSQz0aOLo8VNxRvEgjI72sZg29jcdiPCNyhb2KX788aGeovd6E67w0NZ667aKpO6tAFj2EBPK8gHHiu3UvjrylqBE9JAAgvTRblTwwQnQ8VJ8avZT8OL0HTyq8dtRovNbVJr0QEhs9fcwHPYGrBTv4MOw8yX8mvPgw7LtQDIu8DLxCvBxUbzzCvDU8jtuOvZ5NRL0ElqM7fFUtvOWiAb0GwQ+8BSQ+POb2eDz4VmO8gv98vbKed7wo3x299it3PED9gzyGzC+7GokdPCxMtrzIyxS8SotGOIWhw71R5hM9QHfyPEDXDDzy0go9HWgbvSAN9jwKGvy86ibaPBORfjt/vVA9Y4O1PGPmYz0f0D67EMG3vEI/MDwPm8A89it3uxcNTr1X4cY8QHfyu0HIVbz91yc9PB4GPMr2gD00mMy8KUfBPOJ3FTzKWS+7H9C+O2r1Qr0xk9e90qVFvaY2rLz/i7m7z2MZvRYzxbypOyE88OTVvA6EgLzqwys8F/aNvGYRUDx5di+8iDTTvPlqjzyOtZc86wBjvBSlqrmCOSA93m0rOQhm6jwPXom8HWgbvc+vB72geLC8MaIOvZiPyDrcuRm7pTG3PGlBsTwLLqi61iGVOq/TJbwJxoS8kjR7vG9i2zqhFQK5nxANPadz4zzNm1s9obXnPDy+a7yJqy09TS0NvZ1IT700W5U88fgBvfCnnrwr1ds8WQyzOjunKz1TseW796LRu96E67ofWWS8uJYWPPnzNLzatKQ7EeyjO06n+7pUxZE85jAcPeZ8ijw/rCC8CcYEvdJoDj3gr9c7C2vfPAwfcbxSdC69y5ZmvWezFjyx/hG9tRrHPOMAO7zQPSK9CaANvfYrdzzPA387vnoJvXAWbbyAcWK7wtN1Pamez7ynEDU8HWibPHBQEDyPaSm8pYKavRTxmDx8eyS92dobPdTQMbvmbdO8QBTEOwEuAL2zjCy9bZeJvJcnJT02YIo8xP7hPBBP0jyorYa74XIgO9NZ17v7NWE7jQGGPOZWEzrBvDU9VmpsPEPzQT3ACCS9NjoTPe58Mrzyvl68iL34vL1PHbz916e8R5UIPDQ1Hr1Xfhi8cXYHu55zu7wEcCw8SbG9vIoiCDtjgzU9JwUVPK7lcLxuiNK8cY3HPF48lDpTTje9AuIRPf7uZ7wdaJs850fcvC60WTkcFzg8y6qSPI4BBjxj5uO73ke0Ozww0br7W1i7QouePLCtrjwnHNW8trcYvCvV27yAS+u7FzNFvHdLw7xMAqG77QXYO1zrMD2kqJG8cBbtPFfhxrtWLTU7YTJSPDpWyDw9NUY9WJXYvPBt+7ulv1E8stgaPFcefj2FVVW7I0wOPCCThzx/l9m8kIBpvHQJlzufEI27cLO+O/6xsLymNiy8JwUVPOfkLbnIVLo8XhYdvIr8kLyfEI28meArPEGLnjt3Dow7YfUaPbhc87sxVqA8mh3jPLmt1rwOhIC8Za4hPEhg2jxrqVQ7QtwBu3HKfjyUmQq9LHItPMguQ7y5cJ88hfImvAEugDxmYrM8YgxbuVnmOz1dPBQ9NjoTvIXypjwvKzS9Tqf7urrTTbyy2Bq9ApGuvSj23bx5dq+8YTLSvBUcBb0bPa+8PnJ9vGRdPjzvfLI8IV5ZvEN8Z7wi+6q8serlPA+bQD0QEpu8lXMTvYwT0TuxJAk8RDB5vOiYv7wMH3E71SGVPF48lDxt1MC8vLLLvAdPKj0hXtm7N1FTPMhUOjyXtT+8LK9kPcUSjjstAEg82SYKPED9g7yyO0m9pKiRPJH3w7wJ3UQ9HcvJu1fhxroPwTc6TuGevDQ1Hr1q9UI9wOIsu0ZbZbw47qS7F4SoOxHGLL3xWzA8kroMuxNURzwKoI28mPJ2vLRmNTue6hU8w8GqulfhxrxQb7k8o1cuu/5OAjyFVdW8FRyFvEp0hjzUDem88M0VPKmez7s1hoG8oHgwvYrCbbuOe3Q8kIDpu/H4AbtbdNa8VNzRPBrsSzsMH/G7EXXJOlH907vPY5k7SGDaPPzpcryhyRM6vqCAPBHsIzt+zIe8eMKdvHCzvrw3d8q8hARyuszQibosiW08nvxgvKetBj0Qwbe8/TrWvM5P7TsXhKi9Ga+UPJqUvbyKhba8bnESPFRl9zy8FXq8hATyO+ydtLvstPS8LIntO5qUPT3wpx48mPL2PIAOND1MGeE8SnSGPBmvlLwtnRm9DQ2mPIgdk7zRVOI8mzGPvFaQ47yHQ4o77LT0O4+1l7sf0D67byUkPak7Ib1Zb2E8X/AlPHRsRb1U3NG6OvOZOtWqurymNqy6TWrEPBy0CT3Xry89PdIXvM9jmTzvGYQ7TbYyvO8wxDtYMio8tQMHvZsLmDxlrqE8ruXwvBnVCz3PYxk9U7HlPF/KLrxZDDO86zoGPbhc87t7BEq8hx0Tu96TIrxnFkW9CpHWvEtODztYldi8o1euvOt3vbvNOK28udPNvP+LOTvSCPS7JGPOOzaGgbvjKyc9HBc4OrqHX70X9o28g4oDPGxsnTwE01q8lNZBvVTriDya9+u7fsyHPdFU4jpdYgu8yzO4uAq3zbwkY848KiHKPMPBKj1l61g7dr0ovRyOkrwGm5i8VGX3vIwTUT0T8Rg7Owpau2SDtbooMAG8RBk5Om4R+DxoU3y8Tx7Wu3y4WztO4R49xJuzvP3Xp7xxyn68ZNSYu4AOtLldxbm8mzGPPEUerrs2YAq98PMMu4NQ4Dwx30W6shVSO7Ked7wIdSE8Vge+uodpAT1LP1g85UJnvCyv5DwTVMe8aMrWPDZgCrtOp/u7XSjovMyEG7zEdbw7+M29vCKvvDvqTNG8bZcJvb0pJr0dpdK84K/Xu1Zq7Lz3olG7btRAPdGOBT3GjHy8UZolvfhW47pdn0I7NDWevEZvkbsr1ds8USPLPHUvDjwGm5i6JlGDvIt2/zvjUR694j3yvCSJRTypns+86SFlPKY2LDz+7uc8T/hevexRxrzGA9e6Et1sO4mrrbxwUJA7POTiOtKlRbxl69g8BJYjPViVWLyME1E67J00PPlEGLwKGvy6VOuIPBcNTj07zaI8FRwFPMcXAztppF88TzKCPZkGI7wicgW8lL+BOw7nrjxqG7o8HkIkPVTrCDyoJ/U8VOuIPOs6Br3BvLU7S2XPO9P2KDs5GZE8ccp+PNGOBb0rmKQ7l7W/vNVtA71n/4S8vy6bPMAIJL2+t0C8nb8pPHoqwbzOXqS8ZNSYvNUhFb2K6GQ7/COWPBkSQz02AHC8LnciPcxK+LxqWPG6Rvi2PO1RRrwIZmo8kboMPcuqErtA/YM8shVSvJtuxjrD56E8Q3znvJ1Iz7x6ULg8YTJSvC53ojz4zT08hRieO/v4qTqsZg09gEtrvMQ4hTzH3d88Fpbzu+zuFz2ynne9V36YOg3iOTyZQ9o6/4u5OjdRUzybC5i8Ez0HPXVGTj0kAKA8RM1KO/WxCDvFOAU8DyRmuwndRDsC4pE7vqCAPGIM2zv4MOy7r/mcPF7cebyoxEa8MTCpPLph6LwZ1Qs8VqSPvIywort7oRs8+1tYvK0aHz0Ym+g7u9jCPCaOOr2q7zK8OwpaOqujxDzc3xA9GfsCvAx/izwgkwe9782VPIVV1bvpNZG8wbw1vRpjpryxSoA7DFkUvF5TVLukC0C9EgPkvCBtkLuVsEq8aaRfvMAIpDtl61i8mY9IvFi7zzx/NKu7yeJUPBxU77xTseW8NHLVuydCTLtZqYS8serlvC53orxR5pO8TFMEvFCs8DyFVdW88tIKvc8D/zwlUQM9p4cPvStyrTxAd/I68nLwO1hYITwLCDE9LMOQPI61lzxMtrI8oml5PA84Erx+40e8K5gkPKrvsrynEDW75nyKu7H+ET3/ApQ7nCJYvVjhRj0c8UC8NmAKPVojczwUyyG7+D8jvDww0bt6KkE8fbhbvIcJ57zwbfs70o6FvPs1YTzwpx68eXavu6nExj1IhlG7ExcQvBTLIT1e3Hk8WiPzuqxmjTsKGvw6tKNsPM04Lb0TA2S8AfRcvFakDzyxSgC8cXaHPK1rAryxra69qTuhvHAWbTwYm2i85vb4OeCvV7x3cbo6RGocvT4PT7w4K1y8gv98O/zpcr38I5Y80kIXPVJ0Lj1hQQk9GRLDO5Q5cDwGJD666PttvCDQvjmU/Li83W0rvcr2gDwok6+8ylmvOvGBpzsybeC73BxIPa7l8Dt7oRs8qCf1O3uhm7ytawI8NmCKvM6vh7wS3ey7iQ5cvNT2qDwgqse76XLIOUN8ZzpmYjM9rs6wPMU4BTvqD5q8/hTfvNbBejtwFu08yaWdOzJHaby9Zl27wEXbO5GUFTwzp4M8a2wdPbdrqjv4zT28w0pQO5pXBr1e3Pm7gEvrPFQCSbw9+A49AgiJvN3Q2byWTRy9uiQxPHfolLztoqm8oVI5vE7hHruF8iY8U8URPKujRLwn3x27t6hhPFIRgDtcTl88x3qxOnMbYjwYm+i8fswHPIUYHr03d8q60fEzvAJFwDwmjro841GeO+W5wTtt1EC8Cd3EvLbO2Lwk2ii8rGaNvKrvMjsFwQ+9Q5CTPICrBbwwfJe8AS6AOrph6DyYLJo8aljxvMaM/Dw5fL87oVK5vIVV1Tm5Sqi8c1UFu+SigTz+FN88v5HJuuCv17vKvF286VuIPG6uSTtyQVk7eCXMuaoVqrsYm+g8uPnEuz3kYrzQFyu8wVkHvRf2jbyKwm28YUEJvFs3n7xDkJO8fkb2u2fF4bwxVqA8rH1NPMK8NTxiDNu8kKZgPOMAu7uSbh69mro0vLKed7wk2qi84gC7PPjNvbyoJ/U7eIh6vJcnpbzDwaq8YGeAO1zrMD3l3zi6+FbjvFLXXLuCnM48DyTmvDFWIL2aV4Y8VmrsuowT0bz6+Kk8Rc1KPGpY8TwQdcm7i18/uk0tDb1t1MC8BmH1vA2Wy7rnCiU8P6wgPDOBDDx36BS7K74bvEn9K72A6Dy7kqvVPAoafDsW0BY7VJ8au0qxvTsxk9e7VpBjvaZco7xbEag8C1QfvT6sIL0rci27KJOvvA84krwuUas6q0AWvD34jrziPXK8SCMjOoYvXrwiEmu8gKsFPBeEqDwQwbc88nJwug5KXb1HSRo98jU5PClHQTu3qGE6Q5CTvFakD72VilM8y1kvvNAXKzzEOIW84XIgO5jydjzcuZm78IEnPa6oOTwCLgC7sSSJPJSZCjxnsxY7TPPpPL6ggDs+rCC9eJwmvSLVs7ymXKO8qCd1PPxJjTync2O8TS0NPUp0hrwVHIU8oMQePCKvvLxUAsm8vE+dPL8uGzx2+t+8Vi21PDvNIrwutFm97t/gvI2woryzjCw82MZvPHLeKj2I95s8TzKCPGAbEr1X4Ua8mvdru1Tc0bwPXom8nb8pvNNZV73IF4O7p3PjvDT7ejyNPr28Y/oPPahhmLwQdUm8F4SoO1s3nzymNiy8RpUIuttCvzsS3ew7DLzCPKosajvWR4w8vlQSPfPDUzxt1EC6JsvxO0VEJTybMY+8kjT7vOs6BjxKKBi8sYe3OtII9Ls4yC082hfTvCZoQzqtGh+8MqcDOnRsRbsAKQu8nOWgPLdrqjxII6M82WNBvDsK2jjoIeW8il+/vF9ngDxYu888MTCpvPmQhrlkmnU7SEmaO9GOBT2a92u7q8k7PDd3SjuhyZM8kEMyPE8e1rzSaI48ZxbFu2wgL71ns5a7LIntOwpUnzvmk0q7FzNFPCqEeLwjTI48QNeMu8znybwQ2Hc8Ez0HPdx/drx1Rs48yFQ6vHHKfjyF8iY8ZmIzPKrvMj1tXWa8g+2xu7HqZbzqwys8t0UzPKNXLryuzrA73+SFvExTBL0ltDG9GfsCPUiGUb04K9y7dC8OvYrRJLvLlua8JiuMPE0tDb1EGTm8t0WzO65rgrowoo68PL7rOwziuTyx6mW6cgQivWuSlLvd9lC90qVFvLH+kbrYr6+8vCmmO+MrJzwMWZQ8IG0QvRTLobwZ+wK8pAvAvJwLGD1XB768gHHivAIIiTxl1Bg8OZoLPVG6bj2TNUi9aJLBvHwAvbnGGd28sKvhPNtC0DsqPLe8yKf8vGiGKT3xd9u7voeuvG4tAD0/ccI8KGmPu+Aur7oLI9Y8EMqsOzTnHDxWjh0933/POtnhCLz1kBI8hR2DvOcFZj3IvKS7A+JHPKL87Dy8Eb+8VY6dPBV9m7x2hj48/d24O7XQsLpc/IO87+k7PIpFWr3SRkq8+f1xvJn0zjxxpne8equNvBm6Gr1U3z28McJNvDMX/Txe83M79ZyqvMv5Iz0H8u66V3l1PdWwIb2Z9M48y7QbvQY397zzU5O9jknpPCHvED1XBA29RjxhPYKnEzpM15+8gRDkvKybujzxg/O6m4JuurDw6Tyaar68+1sxuw2xdT2OGYk96G89vRXOu7oTcHw8mbteOQehzrwrylY8PExzPHaS1rqpRgs8lPC/vJXkp7zGAS27f45cvP3RoL304bK8ayz5PEbTkDzah1g8SkBwPdDEQrwRvhS8vCnvvMOjbT3hRt+8hh2DvbNm2Tw1ohQ8RFGJPO8uxD2FFPO8sYeZvCiZ77xdFDQ9UbpuvI5JaTs3JJw87hYUvdcyqbxP2669kVYIPUK6WbwqMB89SRyovFG6bj1dIMy8K8rWvMx7K7xDxvE8AsqXvIefCr27Sq872D5BvSoDxzsbpXI8ZfgJPcfIPDz7Txk9N4HUPFaatTy4JeA84QHXvNrASLxfiiM8oSnFOwzeTb0NbG07sJ/Juxp1kj0m8588RjzhvGe/mTv6lCG9lloXPJtSjj1wux+7yKd8PB3rgb2GFHO74d2OvALKlzt4/K28hwjbPJQI8DsIiR69j9SAu3kg9jsorhe9dBxnvKUt1LzivM68lsNnPCoDxzyZDP+8rWLKPLgBGL0LI9Y77/XTvKE13bzpHh08YhhDPElAcDyBEGQ9oUH1vOvZlDsUH1y8osyMvavs2jyP4Ji8tNCwPGr8mD1SXba8mCEnvWEMKz3pe9W7wtxdvOl7VTzVyNE8jjG5Oxwb4jz/pMi8pE4UPTMspbwxws07ACdQvX9qFD3/RxA9eSD2PMN/JT28+Q4981OTPdjtID3ntEW9cOv/PHjwFT1Z48y80dDaPCB5oTgqD1+9mNAGPWOaSr3frCc8O2GbPC4oFr3QxMK84d0OOtd3MTxiAJO8HDCKPXstlbxWSZU890L6ujkD3Lytp9K7baJou/F327utShq9TNcfPLNOqTt9DFU9lPzXO6BiNb2pduu8hRRzvA/3BD3/vHi5ebcluztVAzxHmqC8OEhkvZQI8Dv+jJi8FqHjunm3pbw/fdo8cLsfvQEz6L3xsMs8mNAGPWlBIT13NZ46P1kSPXTX3jzcFXi9GtLKu3D0Dzyaar68cLsfPcuog7wvNC68ZEmqu/wKkb2SetC7hWILPXdlfrwm5wc94TrHPHD0Dz3v9dM8edttPJZyxzkgTEk99fniPLZGIL3bQlC8bIo4vRGd1Dyejw092FZxO0V1UTtst5A8XfPzPKejw7sTcHy9VN+9u3s5rTz9Fqm8sZMxPcPodbsH8m48YTmDvNtCULyTKTA9KMbHPLS4gDwjZQC9O0xzPXd6prtH36i8wfEFPSmNV7zrCfU8MKodPKRmRDyPJaE8w+h1PFMYLr2kThQ8MBNuvK56erswqh09UNsuvZQI8LznqC08NzzMvHHTzzwZupo7iH5Ku9QNWrsuWPa7BFg3PFd59bwGB5c98YPzuif/NzyP7DA8h/CqvFGu1jycJTa7gqeTOzXS9LxhABM8s2ZZPbJCkbzNTlO9g26jPGezATw2XYw8fFHdvGEAE72sm7q7blFIvD6Sgrwq9y690jqyPCrrFj0VoWO855yVPOzE7Dx2bg47EpE8PQ8DnbwseTY8DiflvOBzN7tefgs90zoyPVJFhj0wnoU9vCnvvEeyUDwL9v08+0OBPNaDSb196Ay8IqoIPczYY7x3NZ48tkYgPUUMAb1RdWY9wHsWPD9xQrxj0zq9VmFFu1WCBb3JYvQ8jY5xvT6SgjnmPlY8FX0bvZWTh7rhIpe9p7vzOgIPIL0hB8G5HcpBvd+L5zo7VQM9nD3mvEooQL2AJQy9FLYLPbWLKL3ab6g8WqrcvEfrwD13eiY8HGBqPEimOD0EWLc7+fFZvc8h+7xlbfI7bKLoPNtCULzn+c08ivS5vVd59bzw0Yu88KSzuvtPmTwadZK8XfPzPBI0BL3P/bI80iKCvGVhWrwkfbA8u7N/vbrIJ71B88m7McJNvI2Ocb2XOVc9JucHPLXcyLu6vA89F0QrO/M+a7zUDVq8+f1xvIVByzxGDIE4qwGDvX3ojL3zPus890L6OldtXb0NbG07jyUhvIb8Qj35/XG8xg1FvYN6Ozw6bbO6QfPJOvaQkryYISe7R/fYPGvbWLyKANI6cwQ3PL97Fr2Z0IY9ldgPPAfOpjs7bTM8/cWIvWN2gjy3DTC8kJuQPBDi3DzzPms8EkAcPXrbbT0q65Y8en41ve1zzLwUtos8wHsWvIr0Ob15tyU9NrpEvKejw7uZDP88Y8eiPIOzKz1K+2e8UlEePEAsOr3Diz08f3asvGfjYb2jh4S9nF4mvejAXbvEo2078Om7vG5FsLx4CEY8fcdMvXJhb7zD6HU7FAcsO5+bpTy3XtC8xgGtvCO2IDwgZPk7mC2/vHqrjbyqGTM9GtJKvFcQpbx4CMa81bAhvEUMAbzKHWy85u01vYOGUzzkg1483B6IO1QMljvHsIy8/5gwvHkgdjv6iAm8ofxsvDxA27vZqBg8jY7xPCLa6DxkSSo9kLPAPL7k5rwZ/yI9BIUPvU4sz7zh3Y48pE4UvG1+oLwe1tk8FCt0vJwNhj3c/ce7KWkPvDDjjbzLtBu9e4rNPPDIe7zYBVE7zk5Tu6fcs7yMlwE7CIkePS8TbjlIjog8e4rNvPThsjzm7bU6ItpoPL60hrwcYGq9VwQNvYe3OjyWnx+9cOv/OxNw/LrRuKo8KUjPvAV8/zucGR68j+CYvcy0GzyASdS7BVg3PZp2Vru8Phe8XpY7O+ygpDsZxrK5ZuNhOz0HazyHtzq8iS2qPeYmprtFDIG8w+h1PALix7zYEem8IsI4vVG67jyjn7Q7WqrcPGyi6DyH8Kq7bTkYPPm46TtEXaE8KusWuwUHF7tuLQA97y5Euu1bHD0FTB+9EkAcPXZujjyBEOS8BTd3vPhC+jz6lCG83CogPPThsrzbQtC8ZtdJvObttbw2jew7CkQWu8rtCzyh5Dw9SUkAPGEMq7yghv27pujLO+jA3TtG3yi9bIq4PF3Dk7x3Zf48dm4OvT0oq7ww+727Pp4au2YcUjpZ40y8NaIUPfDRizw+wmI8jJcBPTjrK7yIZhq8N0jkOpmvxryJfkq8mpcWOq2DCr2gHa07neCtPKUVpDv3HjK8Ae7fO+1PhLvCuBU8/oCAPHnP1TzEi708yT4svSBAMbw/WZI8g3o7vAr/jT3zDgu8XTh8Ow5s7byhQfW8kKcovPMmOzz/Uyi8tLiAPLGfyTxNtt+8Bjf3PIsA0jtNWac85Uruu5IpsLzQuKq7dnomvUUYmTyQs8C6FlzbPDdppLuG5JI8eAjGPAfOJrzmBWa87LjUPCbzHz10HOe8wEImuyKqiLwIaN68vthOPPFrw7xdz6u733/POxI0hDyyWsE8zLSbu/+8eD36c+E8BTd3vF0UND2AgsS8voeuvH+a9DrYVvG8wtBFvZZ+X7zCuJW8yHccvdS8ubxscgi9Mc5lvAz2/buQpyg9j+wwPElJADz/vHi8IDQZPfwiwTwcYOq7CUQWvU5x17vCCbY7hUFLvJ0xzrztoKQ81bChPHqW5TyuVrK80n+6vDnrKz32Swq80NzyPCN9MDwvE267cqZ3PRQTxLxyjke6Wb8EPeVflrvLqAO9qXZrPDFxLb1/jtw8rWJKOqARlboLugU84CIXvEhJAL3lSu486vHEu/gSGjxIVRg7utS/usuoA724AZg7veRmvNp7QDzaY5C879ELux3rgbxMkpc8feiMO+1nNLwUH9w8FLYLPHgIRjzFXuW6o4cEu104/DsP1kS8VY4dvF38AzwCDyC9TNefvA2x9TuxewG79NUavKOHBDxohik53tDvO0EUijxlHFI7ShCQPMsFvDx2bg48G0i6uzXG3LtbZVQ8JH2wPF+Wu7v+jJi8mnbWvOBGX7seshG9pRUkPAUHlzwtYQY8iSGStrgBGD2Z6La7jV6RvKARlTs+14q9bhjYO7Mh0bsqMB+9cjEPvAsXPjz2tFq8ZuNhvEAgIr13NR69Ob7TPGxyCD2GCFu8/1/Au1tNJD2Wfl882FbxuxmuAj0qVOe8fqOEuH7f/Lunu/M6L+ONOrDw6bsfbQk9E3D8PFZJlbzZBdE7tzqIuiUsEL1SUR48W02kPIKnE7v4Qvo7QRSKPORrrruP+Eg6jV6RPPThMjzAexY8mqMuvVGu1jyNlwG8xDqdu9PpET0WXNs7VyhVvXkg9jyvNfI849T+vIEEzDxB2xk9Mn3FOyUsEDzhAVe9d2X+ucVSzbp48BW9ta9wu+U+1rvPKgu9Kg/fvOy41Luz/Yi99wYCvfjZKbxSaU66nA2GvILLWzkQvpS8ecM9u6oNGzz1kBI96W89OyrrFr01opS7y6gDvEkcqDz4Qvq8npslva1Kmrz2S4q82FbxPD7vuruSbri8mmq+PBhEK7xbnkQ8ePAVPUiyUD2qDZu8o5McvRTOO7zkX5a8VkmVvEOWET2WWpe7HAMyvPwiQTzTUuK6PfvSOzmmozz6lCE8zjajvMOLPTyYISc9JSwQPMPo9TnJj0y8x7CMO/WQErpefou8jV6RPDAT7rvjmIa8O1WDu0ffqDzh6Sa6S8sHvF+Wu7ywwAk7GfOKPAlQrjzaYxA98l8rvX+OXDx48JW8enIdPX+adDyK3Ak6ikVavBG+FLlIVRi7BXz/u3d6Jjy4GUi9KMbHvC2FzryZ9E66QTjSvFDPFryyQpE8jyWhPAAbODzm1QW97JQMvePU/rvXMqk74IvnOxTCI7worpc8pE4UPZkM/zzgZx+8FZXLu25dYLuU5Ce96R4dvRKRvDoi2ui8d2X+OnrbbbtpNYk80+kRvfwWKbt+rxy72sxgvF5+i7z9Fqm8ubwPO33oDDyuHUI9psQDPbnIp7wSNIQ72mOQPHt+tTtHpji8yKd8PGE5Az2oixM80ZdqvDaBVLx5IPY86k59PQVkz7wNbG28emYFuv6AAD3oVw097n/kPEELersOVL087We0uxWJM704MDS7g4bTuzs0wzv+6dA7LwfWPA5UPbwxzmU80wFCvdWkibxm4+G7eRTeO2UQOr1bTaS8IExJO6vgQrwWXNu8ymJ0u7Dw6bxJSQA88ndbPD0Haz29HVe8Su9PPeE6R7yIn4q8k014PMewDL1sz8C8fq8cPSlUZ7xvDMA8pRWkvI2OcboBM2g88Om7vCv3LryZl5Y83B6IvLdGoDyFFPM8UJYmO21dYLzwjAM9RGk5vJG/2Dwome88eDWeu4ExpDz1qEK9u483PK4pWju2Ogg9QRQKvCNlgDxALLq8ln5fPF+WuzyhNV09x9RUO3F2l7x0EE+7eopNvOOYBrxiGMO7rI+iO1dhxTrmMj48rj6Cuv9TKLyz/Qi85GsuPLp3h7x1y0Y8d2V+O77AHrplYdo8bTmYuxF5DD0Gwo48/RapPAUTL70LI1a7bZbQvKheuzwEkSc9rzVyvPX5YjxP//a8GnUSu/+8eLyQpyi8+08ZveEB17yXLb+7mdyevGVJKjs7YRu9o580vXnbbTxuDMA76FeNvDm+0zxG99i7dm6OvK4FkjwyfUW8D9bEPO4WlLwa6vq8tAkhvNWkCbx62227AsqXvLde0LwSQBy95j5WPF3Dkzz/vPg7nD3mvEOWET1pQSE9hTWzuwBs2DhJSYA7jXbButJSYrwwtjU9SvvnPImKYrrxg3M8CkSWPG8MQDuhKcW7sPDpuxtU0rxl+Am7jz3RvEimOD0Dqde7O20zvcjIPD0uNC67yTIUPYyjGTsd6wG9kWKgvFg0bTy92M678WvDuDP/TLx3NZ48EpE8vNgyKbxbkqy8RjBJvJZmrz29Ke+7RJaRvFcEjTxbkiw8bZbQvObVhTuKOcI8DI2tPHNJv7u7m0+73P3Hu0EgojwvB9Y8O0zzPKi7c7xHmqC9DjyNvJZalzz8IkG8CiNWPGLTurubgu68knpQvVqGlLzJMhS9iGaaPLGTMb26m887XFk8PRqNwjwxngU8qVKjvFD/9juP4Ji64CIXvKOftLsjtqC8vG73vGBRszwLxp28jV6RPHC7nzwEnb+80pdqPQOdPzv0GiO8huSSPGQ9ErzXSlk8ivS5uE4sT7mni5O8ueBXvIfwKjxOCIc8kJuQvJ0ZHrq3Gcg89x4yPeoqNTyOGYm5VabNvKBitTzEo2067VscvFD/druFNbM8cwQ3u3+CRDofhTk7eAhGPC1tnjw7kXu8QTjSPNntoLzNh0M6zwnLO3jwFTwyOD09Ie+QvMUNxbxl+Am9FqHjOxXma7zIvCS5Vb59PIHsG7s2gVQ8XtvDu720hjuJiuI7XufbPGy3ELyr7No8OzRDPFZtXbx7RUW8iJ8KvMA2jrxerms8Q8ZxPC1Y9jzuc0w8XcOTvGQ9krxB5zG9SGGwvN7ll7wFE6+7l3JHu5J60DsNPA29GnWSPGYo6ruH8Kq8D/cEu9pjkDy8bvc7oeQ8vUPPgTx3ZX68Gf+ivMx7qzt96Iy8h/xCvIUpm7t/dqw88NGLPJ+z1byU2I+8syHRuwEzaLzzUxO9AGxYPEooQDwqVOc84GcfPGsUybxgRZu8D/cEvXDHNzu8+Q69NaIUu3MQz7xxgq+8cYIvPJctP7u3DTA8Cv+NvOA6R7snuq+8y7SbPJuCbryZx/a8jKMZvbng17ur1Kq80WcKPZtepryTTXi86uWsvOhvvTuIqyI5urN/u7Y6CD3zPms8TZ6vvKROlDxdz6s8edvtuykwn7zOQrs869kUPVWmzbymITw8jY5xO6VarDw9B2u6yT6sPOo2TbzxmBu9tfR4vDxA2zzoV408Xn4LPB7WWTzpHp28IqoIPHTsBr0YC7s8UnXmPGBp4zy6d4c87/VTvIUpm7vKEVS8g79DvSfe97x4/K27xvUUvX3f/Lx0s5a7Bs4muQ/3BLzc/cc6dLMWO25FMDz/R5C82e2gPJn0TrxZ48y8ezmtPCNlAD3q/dw8KZlvO13z87x48JU7jhmJvC/vpbtcFDS8MiANvEiOiLwVcQM8eAhGvN0VeDszRNU7LUxevG4tgDsAbFi8PEDbPNZrmTuIz+q74ItnPAsj1jwbSDo8/1MoPThIZLwiztC7JJXgvJjcnrs5pqM8spMxO9PpEbu4ARi9bM/APKfQm7yCv0M7CH2GPDgwtLz07Uq7ePCVOy9AxruNXpG8PExzPJQIcLwZuhq9P7bKvDxA27t52208CWheuqRyXD1FUQk6pwB8PNq0MLxTGK68YtO6OwSdv7xXeXW7hwjbOzw0Q72fbs08qiVLvMPELbwAbFi7QRSKPNkF0bwZupq8oBGVu8VSTTwP94Q7psSDvOHpJrzzJru89qjCPKRarLtNTQ87qUaLPAihzrkw4408K7ImOwIDiLrDfyU7txlIvPWQkrs6sru8mZcWO8kyFLyni5M8y/mjvPM+a7wcPCI8j9SAu5dyxztCutm879ELPfWQEjxM1x89HspBu9KX6jj/vPg7dm6OvKLMDD200LA8I9rou8b1lLqAapQ8YEUbvPtDATy9KW88RtOQPBVxAzvJMhS8YEWbu/0WqbxmELo8edvtOxdEK73/U6i8npulu0Uksbw+npq8/6TIPDqai7yr7No8g7OrOzailLxkmsq6yh3sPIoAUrz8T5m7MOONvFtBDD2no8M8E3B8PPwuWT3Waxk8mfROOzTbhLxFJDE9nBkevPms0byar0Y8R46Iu7p3B7u92M68HesBPdkRab1+3/y7DUglvbMhUbzkg168avCAPCx5trx48JW8N2mkOxGFJDwFEy+7kJsQPUkcqLt3ZX67bJZQvSokh7y6m0+9xgGtvF38AzxHmqC8BIWPO2fLMTxerms8g7Oru22iaLuBEOS8UzDevLGHGT1m42E84IvnO9CsEjysyBI8webvPP9UWzzCMvy84uE1PGhJr7suRZq8ZyMpu8kdSjzvBPG710/qvP4uVT0umeK8sXeovFHgND2n/H09Ar8xvIynorthXuE8AHOlu4uQAT0W5Ns8OMiAO7z6jrtJexg9ksCyvNAuHj3kPKe8NIzsPDjfoT1jfKu8+p54uz3a57z00fQ6T5xku+BvI7w4yAA7CzOzvK3ny7xba9e8WcsCvRa2mbwX64S9TnZePMLHkryRmqw71QPevMRICj3WCge8X+xOO+L41jxkuVK8k+Y4PZnh/rvWCoc8B4w1vUqhHr2n/H29lBT7PIvGfzxbVLa8f8lKPZLIbjwrAUq8jfvqvA6lxTyhL3o71dWbPGwHTj2XlXK8puXcu/uOAD3Gs3M9O3c6vQrnJjufpka85UuMO12JoTzZm3Y8eNZAOx9BvLx1Pqg8iWPSu4jpA71m5gE8rKqkOz8eOL21+J+8sVEiPV6+jDz9CM87JTRGPf9UW7yu0Cq9UaMNve2hQz0ojze9aqQgvbUHhTz7f5u6yTRrvBgRiz37pSG9BSkIu+1zAb1e1S09gkrCPIqJ2DrrGBA7rg1SvFjLgrziu6+9JlrMPAOokDxZEOY8ElT/vNSvFT2qffW87Hu9u+CsyrtDiA49OA1kPMuA97oR2jA8KtMHOywnULxPfYe8jfMuPbiYdLz70+O7Ym3GPOoYED16C6w8jNXkvDAL9bs+uwq8dEZkPKk4Er1HRq07GT9NvEKnaz2u0Kq8ScB7vW7/kbzEUMa8D8OPPJVJZj3Zm3Y8Eh4BvHQBgb3sZBy8k8+XvFetuDs/Bxe8iVuWPOMeXTzVGv+8n7WrvMLtmDw0dUu9F+sEvE+Fw7uqT7O8webvPBuDHTzwE9a8/1RbPTydwLxpb7U5th4mvSZDq7xn5oG8CdjBu/DlEz2hL/o8aVgUvZik1zyVDD+8Wz2VvX6yqTyCHIA8jkf3PJ1xWz1OXz08aqxcvXtfdD1BPII5uXkXvcIEOjy1D8E8ye+HOzyOWzxnK+W8apW7PHsakbwSTMO81QPevJLIbj3AoYw8Zv2iPNA22jx4sDo84/CaPeoJqzvJBqm8s8vwPFZKizyJenM82Zt2PVaWFzwlJWG9ye+HPb9VgL0k/9o7Zfb5PIDnFL2/e4a8A6gQvH/JyjtZH8u84we8PS5cO7wHo9Y75ksMuzydQLxXrbg8xCKEvD8HF7sCv7G5AHOlPMj3QzwWzTo9rKokvYuQgb3QNtq87wRxvIW0GD3GlBY78m7Hu3ZkLrzQH7k7AFwEvaWRFDwq04e8+FJsu8C4rbwoeBY9dBgivXoizb1KoR684soUPXHFbD17MbI7wceSPf3xrTtjqm29Nqq2vHeZGTvQNlq8eiJNPU523rw9hp+8ycmBOnsxMr29ZXg67sdJPTIpv7yCDZs884VoPE05Nz2QTqA8bjw5PEO2ULwaXZc8yTRrPVnxCL3rPha9N5MVvaWwcT34Umy877+NPH/Jyrpf5JI89ueCPdmbdrxs4Ue9RfogPKkSjDmwWd676hiQPD8P07w+6cy74aQOvIRoDLnJ4KI8vCAVPSimWDxphla8hJbOPETz9ztL9WY6E1soPTM4JDr7joA8T4VDPX6yqbt4x1s9kshuPGSisbwfBBU8IXYnvGvKpjzsZJw8Pyb0vALtcznjB7w6i6civTjfIT0SNSK8ZzpKO99gPjz98S281N1XvPSMEb1TLEE9V3CRu5UbpDzcHO46MQv1vGb9IjyvBZY8KbU9vAZ90LxbFw87HKkjPb5VAL0EAwK9CzOzPIuvXjwwzk08AZmrvOKkjjwr+Q28Q64UvVQkhb06UTQ7oPLSu2FHwLrQH7m8cxF5PJT1HT1/4Gu8utxEPcIb27y5tr68Xa+nvGlvNbzq8gk9MLesPG4lGD3H0T09vU5XvXZzkzpDtlA94FiCO6I+37y2HiY8QpDKuhuavrshjcg8ql4YPcHmb7yQTiA9tKwTOxzARL0SNSK9pbDxu0mSOb1OIhY9x7ocvZZQj7zzQAU9KbU9vINoDDzSkUu9lgQDPJ+mxrwfQbw8LpliuyGkaTzEZ2e73O6rOrTpOr1ANdm8FEQHPeoYEL1vJRg8xW6Qu/Sjsj3h6XE8CcGgO5B0Jj0gOQA9webvvIW0mLx08hu9hKWzPIDnFL3zheg8PaylvcQiBL3ySMG8meH+OkJ5KT3MhyC9kE6gPLTSmbwAoec8i5ABvZ1DGTvusKi7jdyNveeuOb09lQS7XHIAvQxKVL3i4TU9kHQmPcIEOjo7YBk9Ug73vGu7wbssJ9C8FZCTuyUdpTy6rgI7sVGivW9LnrwzIQM9usWjvCGkab0RF9i8CdhBPJr/SD1l1xy8/NqMvcyeQbucNLS8Bn3QPMIyfDxcY5s6EQ8cPNuxBL1OSBw8sFEiuyh4lr2n/H09Xa+nPBJUfzrNteI8CLI7vYlbljvbyCW9rJMDPVjLgjyyna48xpzSPE2Nfz0j2VQ8Ze49vY8/u7vUr5U8dAGBO44wVr19fT49IFChOhImvbtPhcM8KL15PFZwET1nOsq810cuPfDlk7yHLmc8/1RbvG5Edb3gnWW9vBEwvfckqrwxC3U7Zyvlu7YeprzvBPE7i5ABvWrDfbyOGbU877+NPEX6oDykRYi8WfEIvYvGfzxYy4I8IoWMOydSkLt1Pig9+p74O3oizbuGCGG8TY3/vKyTA72BO128jbYHvTaTFTxz+te8Xr6MPP4mGTw6OhO8mLM8vP9jQDvSY4m7QqfrvM3ER7k8tGE6rwWWPNOJDz0NlmA9g3DIPA685rwhpGk8TPwPvS96Bb3Huhw7PaylvDj2wrty47Y8lioJvOL4Vj2EpTO70j2DvPJuR7z6rd28gP61POeuubzmiLM8ksjuOyUdJbzOvIs8kF0FPXjH2zoOpUW8WQgqvSB+4zwLDS08FwpiPf9UW7wQ2jC9fEAXvcaUFjt41kC9aVgUPU5fvbogb/676cwDvRfzwDkIsrs8KKZYvYW0mLyssmC7xW6QPVjio7zCBDq5e0jTPN933ztl31i89xXFvMWFsTwfG7a8lRskPZroJzvP4hG9GWVTO7uugryHF0a9bf8RvX19Pj0HjDU84zX+PC1z3Dv+F7Q8ps47PDkUjTqh6pY54FiCPMLeM7x1Pig97GScPHU+KD0URAe9KtMHPbSsk7sYVm68l2ewvLUXfbu2TGi8QWrEOsRICr1dr6e8eLA6PHsakbwOvOY7i77DvHiwOry00hk9yTTru/qt3bwAXIS8iUwxvLz6DjtTQ2K9CcEgPVxyAL0lDkA8Wz0VvZUbpLy00hk8aHdxPIzVZLsSPd6710euPNI9AzwgZ0I8BldKPZvRBjwvqEe87XOBuxpdl7yN+2q8NsHXPIcApbz4Umy8KsQiO3LjtjzTzvK8K/kNPZVJ5ruCQoa7oeoWPLArHD2WKgk93O4rvVQ7prtKsIM8Fac0PAZmLz01m1G6PuGQO05InDupKa28/R9wvLPa1Tu71Ai6ql4YPFousDkNf7+8Zfb5PM2WBbwyKT88VnCRvNAImLz3DYm7sFnevFaWlzx+m4i7hI6SPGAKmTusqqQ8KvLkPMMqwLwBggq9ehNouTydwDwQCPO7y4B3u8kdSjzxUP28s8O0PKWw8bwk0Rg8vSAVvI376jwsTdY8J3Htu8fo3jxDtlA9l5VyvA5onjy1JuK81K+VuwskTjxru0G9d4q0vQxCGLxYrTi9s8vwvLiB07yPKBq9AoKKvK3nS7xVYSw9RMW1u4IcgLyOApS8Tl89PYunIj3VGn+7PYYfvbF3KDyqXhi82pM6vH2UX7xm/aI8J3FtPC+/aDz3FcW82Zt2vOVqaT12J4e8D8MPPb5dPDx9QJe7sDqBPa25ibw8hp+7Sri/O8kGqTrxIju9LXPcO5vRhrzp8ok89w2JOxJUfzxzCT28HgxRu0rP4Ly4kLg8wxMfvMWFMbodwMQ6Bn1QPO1zAb3dFLI8+XC2O7sCSzyNtoe8so5JuxJUfzuFy7k8pEUIvG9agzpF67u7hbQYPJnh/rrnl5i8AKFnvEd0bzt+mwi9ql6YO84B77oEAwK9tADcvEOuFLwovXk877+NvBcKYjvkJYa87bjkPBuxX7wWzTq8tABcPHBxpLxDttA629/GPMk0a7yz2tU8IoWMPF6+DLvntnW8nXHbu2zZi7sX3B+9yjsUPABcBDwihQw9kYtHvID+NT1ckd274JWpvOPwGrzDE5+90oLmPNzuq7w7pXy8xqs3vCeA0jzovR68L2sgPPbYHbybDi69weZvOzyVBD2OApQ8zgFvPKpPMz0wzs08dnOTu+MHvLyt58u8O3c6PMyHoLyiPl889xXFug53g7wzOKQ8B2YvPNmb9ruIPUy8i4lYPOeXGL3LaVY8TPyPPNYKB70vkaY5G6J6u2h38bxCYoi7ScD7PKp9dTy/kqc8CMncvF/sTjx9fb67WhcPOjkrLrvJ7wc8PvixvCnM3jxqrFw8GTcRvTyVBD2Lr948dmSuPFjTPryaFmq7kHSmPD2VBDwFKYi8EAhzPJsOrrtcYxu9bAdOvFLvmTvfhkS9HzLXuxEPHDtzEfm7VpaXvOQ8p7u3arK8/NoMOzWEMDwsPvE8hvE/PGl+Gr12e8+84enxO1jq3zwumWK80oJmvZ1DmTkCgoq8jNVkPQh1lLvbyKW8IFjdPCBvfryzrJM83BzuPCdSkDwsJ1A8z+IRvckGqbx2TY28tRf9vB9BvDwAcyW7u66CuxfrhDuEre+7AbDMPBSBrjwngFI7YUfAvOHpcbztcwE9DqVFO1IOd7zi4bW81zANPJsOrrtZH8u8lBT7PCT3njs/JvS86jftPOVTSD0UmE88X+QSO4E73byZyl08RQJdPCTRmDy8EbC6gjMhvafdoDznlxi86L0ePTaTlTtnDAi80DZaO6EBOLpGKOM707fRu3i/nzzAuC29hvG/vEAHF72o7IW8MfRTvAej1ryWUI88o01EPa3+7DzgrMq8XGMbvYlMMbwHjDW7hbQYO++/jbxZEOY8aVgUPS6KfTxE83e8jNXkuydx7Ty7Gey8OO4GvfEiu7uWKom8aqSgPISOkjxXvB08Ym1GvU+Fw7zgnWW881emvIlMMbwLMzO8b1qDOiKcLTzZhFU9NW0PPWXuvbwSPd479xXFPB3PKbsECz483StTPA685jyU9R09D50JvPE5XLsgUKE8oh+CPQrnprsxA7m7ye8HPGFe4Ty6xaM8SGwzPbBZXjyRg4s8TkgcuzH007zse705Tl89vBySgrtPfQe8oRhZPKDEEDwPnYk8D8MPvTo6k7yN3A28cHGkPJsOLr21JmK8ksAyO8j3Q7wgUKG8ERfYvEI8Ar3MUrU7BmavPIJhYz2CMyG8ZLEWPfYG4Lx/yUq7LDY1PAGwTLzpzIO8vnTdPNz9ELyXftE8JTRGO75VgDwyKT88zgHvvLFow7yka448XYmhuvvTY7t1Pqg8wxMfPGzwrLtmBd88/iYZvGcr5Tsvv2g97GQcvAibGj1aRVG9i75DPOe29TxvYr88aGBQPCToOTvsZBy9WK04PSKcLT2lqLU8UbquvMe6nLtMBMw6cICJvNbVG7w6WfA6Eh4BPHPMFbyMzai7IXYnPJw0tLwGfVC8GFbuPCeA0ryftas7kxR7PKWRFLza0GE84FiCu8C4LT1od3E87rAoPMHPTr3/a3w7wxMfvB9BvDw7pfw8JQ7AvPJfYjydWrq8iVsWPUKna7zEOSW9GnQ4vS+gC73uiiI8AHOlOs21YrydcVu9fEAXvVG6LjxcqH68hss5vA6lRTyb94y8tjVHvIbaHj0HjLW8I/B1O2JlCr1t/xG91Ma2vPgVxbs/D1O7T26ivDaTlbx9Vzi8q4xaO7UX/TzRRT+8UxUgvLUm4jyIDwo9Md0yvMbC2DzQTXu8bf8Ru/8mmbzrVTc9gmHjPJZQjzy5tj48th4mPM7qzTuIJqu7x7ocPAVXSjtjfCu8xDmlvLF3KD2H2h67HKkjvdl8GT3K74e8lTJFPdYKhzyvHLe8Ug53vIpyt7s+6Uw8vmwhvFfE2byoMWk7ctTRvLArHLu4kDi8JQYEOUTFtT2n/H27mI02vBRqDT2egMA80DbavAUpiLtRyZM85UuMPETzd7yrhJ68myVPOyi9eTz7pSE8UcmTPJZQD7yCDZu9Lor9vMuA9zrSPYO8Wi6wu+M1frwBsEw7t0QsvQrnJrxY4qO8SsekO2qVO715zgQ8Ze49PRbNOj382ow7AFyEOyTRmDz1she8f8GOvJw0tLyT/dm8i6eivDNPxTwFQCm8/QCTPOHpcTxNIpY7TARMPaWotTya8OM7fX2+PPExoLsfG7Y84elxvFousLxgITq8MAt1vOtVtzxGICe7J1KQvJBlwTxexkg9ZdccPZVJ5jtPV4G8nGL2vBSJ6jsoj7c8WxcPPAZua7y1JuI7FrYZPJsOLjxE1Jo6WOrfPBAI8ztfxki8zZaFPBpdF72qEgy8QmKIPEveRbuFtBg9rbmJOiwflLzjNf68l5VyPGhg0LuN+2q8gP41PJLAsjpPhcM8rvYwO4zVZLxPnOQ7xqu3PGzZC7zLgHc8yu+HPC6K/TvusCi9zIcgO5QU+7yegEC8n7WrO8QiBD24U5E8L6hHuHGmjzv2BuC8iD3MvPD8tLzovR676iDMvDEDObxNOTe9a9LiPCmtgTy6xaO8DFk5ul7GyDy5tr47kYOLvVoXjzz4Umw85nnOvE+cZDzKFQ69qk+zvKa3Gjx7SNM8IpytPDH0U7xM/I+7RPN3PHQBgTt43nw4Xt3purYeJryDaIw8A6iQPDgFKLz5Mw+8z7wLvQBchLwngFK8inI3OT3a57w++DG8fZRfvP0f8LxjfCs8VCQFuim1vTsYVm68KI+3PLiBUzpiZQq98VD9u0cJBrx+m4i8i4lYPPp/m7zkLcK7XYkhvGAKmbwLDS28B6PWOxIeAT0Q6RU6LXPcvMNBYTwYEQs9Z+YBvaI+37z5h1c8KKZYOsac0ryzjkk85ERjOSwn0DxOIpa8mI02O/ALmrzdFLK8ERdYvFpccjy6xSM8/0wfPFQ7pjxBU6O8ps67usjJAb0q6ig8hbQYPQOokLsQCPM8N9A8OZv3jLkwxhG85WppvUgvjLwDzpY8tkzovL1GG73NlgW8DEIYvOnyibyWQaq7A/zYu3oLrLsovfm8LCdQPKpPs7xPhcO7gg2bPHQBAT13odU8QjwCPIJKQr327748ElR/u68zWDw1hLA5SC8MvGwHTrxL1om7VDumu2z4aDtY4qM7csyVuw6lxTsis068BmYvPW4WMzzDEx+8vWV4PGyzhTx6E2g5dnOTPLTSmbt2e0+9l3YVvRWntLzxMaC7KZ6cPPD8tDt5/Ma8uXkXPcIEuryPP7s6ZhREPDgcybzESIq8TnbeO5B8YjzJFY67JiwKPRk/TbwxC3W9KwFKvCF2J7zeaHo8srRPO4D+NT0zQOC6Ce/iOwGCCr3FhbG8G4Odu0Tz97wLDS08HJKCu8HPTr2ssmA7RPN3u7X4HzxpWJS8xW6QPOHp8Ta1D8G8tkzoPKyqJDzmSww59bKXu25TWrx9V7i7G6J6PFDC6jsR6RU8KbW9PDbB1ztKuL+70B85PMjgIrvtuGS8KtOHvIbxvzlJe5i8VDsmPBgRC7xuU1o8ksAyvbsCy7uUFHu62XyZuydxbbulsPG7xCKEPOogzDwfQTw8aUmvvPN9LDv4SjC81K+VvDlCTzzYXs88usWjvLmn2TtSBjs80pHLu4E7XTwcqaM7g3DIPNz9EDxl7j08YmWKO5xL1bzi4TU8CJuaO6gaSL1wcaS8HvWvOgZuazupOJK8ZLlSu24lmLy76yk8b1oDOrX4n7yPKBo7J1KQPEqhHrvgnWU88m5HvOKkjjxdoEI8nWkfPGzKJj3CMny8/iaZOwZXSrw9rCU8lCPgO2yzhbzKOxQ8+WFRvNTd17wK5ya9lRskPaRrjr0x9NO6YmUKvUAtHbwiXwa9sX9kPJBOIL3Hupy84zX+u0Tc1jvZm/a5uhlsvGrD/TyGCOE7rLLgvDH0Uzt4x1u9F/NAvNBN+zvJFQ68GFbuPGJWpTy+bCE8dnvPvL5soTzp4yS7EQA3vGN8Kz2qffW6B7p3vGOq7TzMnkE82OCYPJ2a8jtU3w+9EzeevBzqTzuywg69QXhPuwBQiTtX4JW7j1WqvKIcqjwXeE68hvF7vGwYET2twII9UH3tO+CjALs55TI99stFOt6y2TyWV7Y7D1WnPDWTxrw0A7w85CRbvX7uaT1XQNW8RAngPCZukz18jqo6VV9kO9Re4bzrxy087JfiuyUNdzzAN6I8lzinvEb6Br0xcqu8PZbYvHgMc7tvWUG9BlIVuwdidLwqr0O8uERvvBnJND3wGRq7zAtvPC6xTz33a4a8CmP6PBKWVzoR5jc9nvqIvfpcVr0Txyi90I2mPHMK5zx9bpW8L8GFPcZ52DyVp5a8PFauvL5G+zz6fGu84KMAOxN3SD3FOS68+MxLOgLQXT0RFoM9CVMbvfP6irz43AG9glAMO/5Ogzw61fy7lrf1u0UZFr3lpQw9V1ALvEUZFr2l3YW8EnZCvKt/e73mVay85gXMPA4lXDvVj7I8bxmXPQciyrofy0C9TGwIvdfvcT1q5z+9MdJqvVGOKTxBiAU9wjgoO2QFyT1oNhq9RfmAvFDdA72N5C49NsQXO5M2m7pw6Us55TUXvVR/+bv/fve9AQCpPK0ALTxVP888wwhdu6N8aT1ZUZE80V1bPFdQC7zN3AA98amku9uxU7ytkDc81d8SPOCjADya+QK7xllDPdAdsbyirDQ8slKZPGg2Gj3veFO7oPuOvMNYPbwh/JG8uyVguuOkBr2aeVc6tTMKvFU/Tz2i/BQ8jTQPvVhgarxjRO28ps1PvJM2Gz2CQFY846SGu6X9mr2E4Ry9GelJvBEm4jvLixq8DpXRPCbu5zxZcSa9Z0b5vMXJODz+3g29xelNvFSvRLwBkLO8w1g9O2Ul3jwEkbm8h3KtPI/Fn7zDCF072bBNvcv7j7xBeM+8ZXW+vPPKvzz3G6Y80a27vI4ERDy9xqa7AFCJvfvdhzy9phE827HTPKatOj3zWso8xfmDvfNayjxQfe27m8k3vevnQj2jPL88g5A2PJiIhzuZmOa6oPuOPDmVUjz+3o07YgTDvA91PD1hxBg9R6omPLZTHz11C+08qX51PXRrAz0lDfe8AFAJPQsEwTwVJ+g7LkHaPI/FHzxAt3O9l3hRPfw9R70UJ+g8yIqUOws0DL0OBUe8wVc3PB6LFj1c4qG8XXKsPXccqbyjHCo9H/sLvCPdAr2qH7w8096MOZpZQryhe+O89Dq1PMjq0zy9xiY9Je3hvAtUob2u0OG8mOhGvOYl4Tq5NJA7AyFEOxzKurwnrr26b1lBvaF7Yzyy4qO77OfCuwOxzrwx0uo8mlnCvGg2mr0mbpO8h0LiPJWnlj0SRne8NdNwPfZrBj2QJV+9L9Fku0qrLLpphwC95CRbPZIWhrxX4JU681rKt/Tq1LwRJmK8V5C1PDLy/7yaOa08rWDsPHM6Mj1HipE8LrHPPEFYurxYYOo882oAPdSOrLxlJd68SouXvP6OLT3hM4s83pJEvBuKkDyFAbI8IVxRPadOgbxrl1+9uVSlO+WljLwhHCe7TZz8PFEetLwu4Ro7SYsXuzdUIrz2awY98xogPfhsjDxPjaM64OMqPAs0jLv+bpg7isMTPbxFdTuz4qM8vkb7PFlRkTwJczA9cvqHOjnlMr1BeE88CeMlu9zhnjxzGp063QI6vR5rgbyStu+7TIwdvcWpozwbipC866eYOpeIh7zm5ba8qx88PNgALr357OA8uSRavEeqJjxYYOo70Q37vLpVKzuYiIe77hgUO87MyrwCgP07B2J0PRnpybz2qzC93nIvPB0q+rtqVzU8Tezcu5pZwjzAB1e8094MvA6lB724RG+8i7PdO4DPWjx3jB69+81RPOHDlT3FWUO86bZxPCxQCr2KI1O8g0DWvKs/0bnkJFs9OZXSPIThHD1TfnM9lacWvUn7DLwcqiU9zYwgvMFXN727RXU8fs5UPDbEFzz3m3o8SlvMPHgMczn2Ozs9FSdoO5WHAb1XwAC9ZaUJvPlsDL3wiY88fI6qvHI6MryD8HU8Qrh5uzLy/zmWd0u918/cORVHfbwB4JM7gO9vvBJGdzxFOas8hUFcvOwXjr0A4JO9j3U/PQt0NrzuWD68igO+u+R0uz0TN548DjUSPM0cKz3LG6U7ipNIvHz+H71Iyju9U37zPDEyAb1JOzc8aFavveiW3LzT/qG8HstAO+UVAj13rDO9XOKhOw/FnLyPpQo9IgzxvPvdhzyE4Rw8CkNlvUF4T73JCmm8QehEvC7RZL0OxRw981pKPVwygrsBAKk8qI6rvAzkq7waOaq7MVKWPH0O/zxjRO08g/B1vdhQDr0GUhU8H3vgvBoJ37zzagA7/l7iPHVrgzzRPUY64dN0vc2MoLxi5K28bDimPIVREjylHTA8ZOWzOmemD72A/yU764eDO9mQuL0m7mc9jnS5PARhbjyqP1E8Vc9ZvTFSljxsOCa9fP4fPYgyAz2wkb08a5ffPKqvRj3oppI7L9HkvJa3dTwcyjo9nVrIvOjmPL0lDfc8lQdWvIXBh7pXwAA9zVzVPJ9rhD2N5C68jbTjPAwkVrq5NJA7cxqdOhpZP72b6cy9R5pwvfAZGjwJM4a7viZmvE3Mx7wqz1g8MdLqvI7UeLwMROs6cAnhvJKmkLotACq8lYeBvMMo8jyi/JQ8FDceu8KIiLvVj7I8VyBAvApD5brs58K8/t4NvejmPL2jXFS9gnAhvWE0DjxY0F+8oVvOPAy0YDzo5jw7hzKDvLwlYDvTbpe8IRynvN6SxLrvmOi7ASC+PB5rAT1Vz1k9hwI4PaZtELx73QQ92+EevSONIr2XOKc8CUPlvOgGUrxnpg89Fli5O2qnFT0aCV+8ZUXzuvarsLtXwAC9V+CVPAMhRLuKw5M8FjgkO5cYkrwRNpg8ySr+PMn6iTzZsM27DpVRvckq/jy6Vas8zQz1PLjEmrx77WO98DkvvSH8ETx//yW9ZXW+PFzCDDuZuPu8GakfvSywybrf0u47rXAivS7hmry6VSu8sOGdPbFBXTuGsdE7g0DWPNnwdzsusc+8EcYivRzKujyFIUe9HCr6PNOuQbxzCue8fe5pOTLy/7xXIEC9L9HkvMX5Az0DwYQ8LeAUPbEBszsBACm7zTzAu5563byHslc7WGBqOzymjrz2e+U8SfsMPAFg6Dwnrr27oXtjPOS0ZbxZ4Ru8ev2ZvBQnaLweO7a8LFCKOd6SxLx3HKm8FKcTPLEhSL0eG6E79nvlvGg2GrxilE09X8OSPEQZlrzolty8Tz3DPFjQ3zuHci29bIgGPQNRj7ydOrM80Q37vIA/0Ls8FgQ95JRQPEeqpjsDAS+7DjUSPGvHKjyOBMQ3LUDUPAy0YDw5JV28alc1vIgizbwxcqu8IQzxu7ABs7y0Yni6dDu4PL4GUT0eq6u8ggAsPfytvLsUB1M8Z+Y5vOHT9DvzaoA9fW4VvSTtYbvNjKA8UR40PFBtjj0RNpi8RHlVPCceszyLc7O8GelJvMCnlztcQmG8uETvOw8l3DgLtOC8yfqJPNfvcbx8ToA8R/qGvGsHVbxCmOS8eAxzvBNXMzzwWUQ8i7NdPGwIW7zAd0w8NFMcPb7GprxJ+4y8ps3POlfAAD0vkTq8vEV1OlxSF7suATC9MXIrPFziobwGUhU9RZnqu1Tfjzx/P1A8UG2OOjxWrjzm5TY9xnlYvGSlCT3Iyj69DuWxvFwygrzDWD29fP6fvffLxbw5NZO8hFGSvC3QXrywcai8bciwvHApdjpyqqc8fx87vF8DPbz/fne8DjWSPOimEj09lti8oxwqvW+JjDxcArc7YHOyvBrJNLzgk0q7Ke9tPCEMcTwSVi28PLZtvO7IMz2L46i85LTlPP5+dztEWcC7+uxgPQlDZbyVFww8EcaiO9vBibw/5z69j7VpPKPMSbxM/BI9lpdgugvEFjkbGps8RBmWvNDdBr2CwAE9LiHFOz+387vsB1g8qc5VPP+uQr3gwxU8GxobO2x4UDxYsMq8zMtEvOtXuLvLqy88y4saO3KKkrs5pQg9TFzSu3L6BzvTzta83TKFvO+YaDwhHKe8whiTPC7BhbuVN6G8wSfsvHT7jbpseFA8ew35uo9Vqjup/qC8b3nWPBVHfTuuUA286canOX4+SrwWGI+7MSLLPC4hRbxGipE70e1lPMiqKblsCFu8EZbXvDFC4Ls8FoS8SRuivHKqJ7zpdkc89Dq1O9Gtuzya+YK8MgK2vCaOKLzmxaG9fN6KPNsBNLz/fne8+DxBvF9TnTxFWUC87jgpPNMet7vgczW9Jz5IPKn+ID3I6lO88cm5O2GkAz3IWkk8slKZPBfIrrwsID+9c3pcPOCTyrxSrr48lTehvKNc1LwnHrM7ZFUpPJKmELve0u66RLn/PAMhRL0WeE67lserPE9d2LzwOa+8YaQDO+PEm7wAUIm8vVaxPKZtEDyT5ro8EQZNu2dGeTyD0GC7iAK4vEKY5DrktGU63XIvvc3cgDzIipQ8IWyHvOy39zytYOw83NHoPOY1l7jZQFi89osbPQOxTrxoVq+83eKkOzrlMrxgk0e9SouXvJcYErsRNpi82dDivNuxU7vnlVa8reCXugkzhrvcQV489GoAvK3glzuAz1o9DyXcu2TlM713rLO5ZOWzPID/pTxH+ga8qv8mvS7BBTz3W1C8ITw8PVSPL7wAACm682oAPan+oLzY4Jg8usWgPJU3IT1oRvk7KW8ZvREGTbwRFgO8zfwVvWdG+Tya+QK8ByJKuatfZrwAUIm846SGPLikBT3st/e7yaqpvEyMHbzuiAk9rrBMvLlE77n+/qK8d8zIOyYes7popg+8TezcO8X5g7uoHja9FhiPO+NUpjzj5DA8zAvvOwKA/bxYACs8bKgbPMtrhTyxYfI8Kq/DvF1yLD3Vj7K8OQVIPOunGLtP7eK7d2wJvfGpJLw00/A7tsOUvBZYObzTbhe9w8iyvKtf5rya+YK3pT1FvLMyhLytYGy7AOATPe940zydipO8ascqvd/SbjvbATQ8Ezeeu1wCt7pwKXY8dGsDPVewSjyd+gg8+22SvMvrWTw6NRO9lacWvZrJNzywYXK8wIeCPA9FcTywkb086bbxvEcaHLyA72+7YENnvFqRu7zLOzo7AOATu/c7u7nLqy89FUf9PKU9xbzCqJ051T/SPK1g7LscqiU7Ku/tPAZC3zxRHrQ83HEpPPfLRbwKQ+U7aYeAPUcanLueel28o8xJO9BtET0bipA8nTqzPMWpo7q4xJo8eKyzO+Mk27w1wxE8B1KVuhzKOrxkJV48rWBsPLMyhLwZWb87QjilvKDr2Lwy8n+8tZPJPPP6Cr0nrr27mhmYPIrT8rxdIsy7zdwAva3gF70pX2M8Ke/tO2BzMj1bYfC5KT/OPH1e37zCqB28onxpPNPOVrwscJ85ByJKPaaturtVH7o8pv0au3Rrgzs6tee7mnnXvNhwI7343IE87ogJupZXNjt77eM8CmP6O9zRaDzmdUE9xYmOvFlRkTxQfe08mvkCPFfglTwirDG9qf4gPN3Cjzx/P1A8qv+mvMsbJTx/Twa96DYdPd4iTz2eqig9TXxnPMj6CbyI4qI7KY8uO9H9mzyrX2Y8uQRFPJc4pzyTNps79OpUuiwAqrz0agC8WXGmPFkBsbxFmeo6mllCvP9umLx3HCk8HhuhO7LiIz3WP1I8WpG7PPsdMr3CqB28CbNaPMganzz7bZI8HmuBuwAAqbs2pAK9VT/PPPPKPzvz+oo7BFEPvSlPBL0OdTw8ExeJvHWrrbx9TgC9QYgFvTrV/Dt4DPO8JM3Mu8gaH7tgQ2e8khYGvB4boTwDwYS8V7BKPFDNzbx6/Zm8AOCTvEyMHTxgI1K8I/0XvdzR6LzUjqy85rVru8KICD1zWke88PkEvQZCXzxXUAs9kdX+vELoRLm5VKU7PXZDPEcaHLx3XFM9IawxPOMExjuVN6E8oqy0PJClijxqh4C839JuPKhuFrxJG6K7uETvu9U/Uj1CeM85mplsvTlVKD3+Ps280M3QPKGbeDs8xiO8Ud4JvTklXbvrpxg7FzgkvF2yVrxXQNU7xnlYvE9dWDsSlte7FogEu7jkrz2DUAy6PKaOvBwq+jxhNI48wqidvMB3TLwscJ88R5rwPGdWL7w9Bs674KMAvOUVgjyXGBK7s+IjPPFZxLy6pYu9Rbl/vJa3dTuifOm80/6hO2VF87wTx6i7McILvRxaxbxZcaa8BgK1PDaUTL3YwIM8cCl2PWBj/DwsIL88b4kMuns9xDzrNyO7J649vHvNzrtSbpS8TKyyvDY0jTwHkr+7WNDfO+y39zsaKXS8xChyPUk7Nzs25Cy6dxwpO+unGLxqR388QXhPvJ06s7xQPUM8UN0DvP6uwjzjdDu8HvuLPID/JTzc0Wg9CMMQPZWHATyHQuK8n2uEvBZYuTtKO7c8T81NvNPOVryPNZU8bciwPN6yWTzAl+E7TXznPNux0zs95ri7wAdXPNAdMb2+llu8ySr+PLMCubvktOU8cjoyvHvdBL0mPki9mwliPGBDZ7zccSm83NFoOtxxKbxdIkw80z7Mu+znQrwUpxM8h3ItPHccKTzodsc8aKYPPPhsDDwu4Rq9msm3u2V1vrxSzlM7AoB9vGTlszy+Rvs8NqQCu0haRjzN/JW8hnGnvOiWXLwTNx68BAEvvBop9Lk0Mwe992uGPFzCDLsuQdq8R/oGPKD7jjzgw5U7jpROvWVF8zxoRnk7Jv6dvFI+ybvymW68PjefvJ1ayDxaQds81j9SPLUDv7sIwxA6bSjwPBKW1zk9tm26NSPRu5qporwxUpY8xamjPEc6MbyYWLy8CQM7vUSJC7wXCFm8HSp6vBboQ7yamWy8yDq0u9XfkrySdsU8WeGbO/5uGDrIipS8i9NyPI9Vqjkm/h29lheMvI1UpLz+3o28rWBsPN/S7rxAB1S5CzQMvEjKu7xgI9K8yBofOjl1vTx8jqo7CUPlvNfv8TtiBEM9ps3PvPNqAL1vybY8XwO9uyGMnLzRXds8aqcVO2wYkTz/zte7SctBPNTu67yt4Be99qswu1Vf5DujnH48EpZXO536iDwMVKG773jTu93iJL0kPUK7HCr6POWlDLzzyj87qv+mvEF4T7sVR328lxiSvU+tuLxX4JW6iDIDvWh2xLyY6Ea8GqkfvIqTSLxEGRY7LkFau9kArrz2e+W8hwI4PJJ2xbx/Twa7ozw/PBR3yDuNxJk8u3XAOh16Wr01s1s9qt8RuwtE6zt1GyO8lservJqJDb1BOKW7behFvNAdMTzF+YM72eAYu/OKFTy+Rvu7uARFPboVgTwK46W6nTqzPDrV/Dv7HTI75RUCPdvBCbwEkbm846QGvQbCiry+Foe8Kf+jPGyIhjzT/qG8+x0yPZuJjbxaQds8CMMQO4LAgbwbGpu8/v4iPANRjzw+Fwq9NZPGPMg6tLtU/yS9l6gcveWlDLwcWkU8y2uFvPsdMj0eawG8pY2lu/jcAb0q7+28/67CO3vdhLyjzEm7OQXIu38fO70lXVc7+92HvPjMSzzzqqq8ZKUJPYgCuLtSbpS81d+SPIJwoTsJM4Y7AmDoO6rfkTtrB1W6Uq4+PN/SbjtiJFg882oAPfpcVrzTPsy7KR+5PHI6MjxXcCC8LHAfvbVTnzsuQdq6LJC0OzVTHLyHwo082UBYvPjcgbt4DPO6slKZu+TU+jqNtGO8W7HQPD+nlDx+7uk85DQRvCces7urf3u8YGP8u1kBMTxIyjs8Plc0vJKmkDtM/BI863fNOm140DynToE4IfyRPM4MdTvdUpo8+/0cPHIqfLzhA0A8jrTjuqX9Gr3p5jw8+92HPPytPLsv0eS6Y0TtOtvhnrs8FoQ8oZv4u8UpeLxgY3w7wMesPFA9Q7x8/p88gI8wvB57YDtJa4I8lserO+WlDD1EqSC83cIPPIIALLy4VCU82SDDOjaUzLxXcCC7iOIivG3IsLygq668l1g8PWGkg71YYGo7gM/avP7+IrudihO9uzWWPJqpIr2C4Ba8uaQFO8aJjjqeGp68pm0Qu37u6TyIstc6YaQDvYozCTyaqSK9LUDUvFKOqbxsiIa8IfyRPBYYDzoSVi08X0PnvNjwd7wlDXe8JK23vKHLQz0fe+C8g5C2vP7+ojyaWUI8XFNpPASNjjuXxTO98MUKPVo3tTxQ4hK8aYzVvE3iEzz6xPu8kRpevHhTXDzwqMu8JVQMvUpwLz0XjHs9YsVLPG7ihLvMjKg8p4y5uorFuTy/xSC8o1PIPI3+Kjz9Gqw8rHACvaWMujzjxRC9iDcgPSVwwD0xjG+7P/7Ouy3iIr1ZcCg6/cWEPLg3CjpdcCY9+/3tvDHFYr1RNzm8cnAdvZ2o8rzbqFW9SXCwPDlTeTus/hy8k4xCvCM3zzw/qae8NOIfPPA25jzJxZy8TXCuPJEaXry3jDE9C1SYvR83UL0pjPO80cWYPHHFxDufb/67jeFsPSVUjDyBcBa9XeIMvf9vUryBjEq7UcXTOhKpPD0l4qa82oyhvKc3kj2iN5Q9xf6QvFSpHbytqGq9IXBCue8aMjznNmq8rHACOvUaL71ljFc8hsW7vAVUG706jGu8keHqvD43wrw6VAK8TBp9PAupP7zj4UQ80cWYPS7iIbtyjFG9YqkXveCMHj0zN0e9XozavP0arDz/U508VP5Eu1bijz05qSq9leHoOqc3Er0n4qU9WakbPZr+JLxmqZU5eFNcvbMaTjyWGtu9Yv6+PM9v6Dq1U0A9AFQdO0r+ST2INyC86lOnPIn+rDtz4gI9LXC9uWxT4bydjL084v4DvRQbobqvcAG9VuIPPUkbCbvm/gE8CVQZPT+pJz11/rU7p296vKfFq7ypqGy8VqmcO2Y3sLxzU968eamMPGPFyzxz4gK8MjfIvP9v0rxy4fi8vW/wPAuNCz3Ob+g8ChsmvAPFd73y4T29toyyux3Fazty4Xi8OcXePFZT6zySqYG8a+KFvYfFOjyB/jC93owfPMT+EbzYGr27bxptPJnhZj3Ub2a8EeKvPG+pEbycxbC8LFP/vHzh9LteGvW8zIwovUL+TTyfNxU8FzdUPDqpKbx0Gms8axpvvV83szyd4eQ8g6kIPSKNAD15xcE8AOI3vQgbpzys/hw8Dv5lvelTKD2PU9E8+owSPDhUgzyZcAu72YwiPReNBT2kGtU8lnAMvalTRT0EqUI97OHAO/T98btUxVK7fjclPe798zzSjKW8KhsXPDhUgzwA/ms89RovPSf+WTv34Tu9HcVrPSv+V72IGuI8uYwwO9n9/bxLN7y8UsVTPL3hVj0ocD+9L1SHPcA2/LxMjOM8xYwrvJHh6rzqqM48JBuaOyfiJTzJNni95v33PPT98Tw3/lI9GnBFvaDFr71mcCK9E3DJvMCMLTzZUy+70f4LvHs3Jry0U0A8mYy/Oy2M8Txs4gU8aeH8u183s7zHjCo9xzcDvXOpD73VxRa80RrAOxHiLz3+Giu7iOFuPZf+pTz8/W29yv4Ovegatbxm4gi961MnPSWM9bw6jGs5bv64O4hwE717N6a8yP6PPAKpQ70VcMg7msWxO1GpnzygU8k8YMXMPElT8byNGt87Uf7GPHk3J739Gqy8jBrgvFGpHz15Nyc8bakSOzqpqTzrb9s8HcVrPTvim7w64hy9S8XWO1k3tryeNxY8fKkLPU1wLrzQ4c074ho4vEpwr7xejNo83YygPFzFzjyvxSg8yhpDvEdwMTzPU7Q7nXAJPff977td4ow8g6mIPTlT+Tunb3o9Ff5hO1ypGr29jK88t6hmPL7FIT06qSk9Zv68vFJTbTwQG6O78xqwvC3iojzOxRm9duH2O3E3K728xSK841OqPCfiJbxy4Xg8BI0OvBKpPDy24Vk8NamsvCobl7zWxZY7wRrHvI9TUbzMU7U8Zv48PR6pNrz0/fG8GKk5PEyMYzxjqZa6uW9yu8U3BD3kjB28mXALOnfigL3P4c05QeIZPBapujyLjMa8gnAVPOrhwTwYxW243OHHPIlT1LxU/sS8f+HyvCEbG7zX/gg9D6m9PMpvaj2KxTk9CzdavXtTWryNNx49vm/wug3isbwM4jE7H+KoOq/hXLyu/hs9zownPeFTKzvE/hE91G9mPDwbD70E4jW7Eam8u0kbCb2E/i49mDcZvRepObkTcMk8osUuPMk2+Dv1jBW9SnCvPIFTWLtccKc8VDe4vJ7+ojw8U3c8sjeNvLBwgL3k4cS9R8XYPCRwwTq8/hQ8PBuPvFEbhT3DxZ48OKkqPLQ3DD16qQw9AP5rPLRvdLzeNu681KhYPLg3Cr0Sqbw8SVNxvff977zNqFy8XnCmPDT+0zwcN1K9ZqmVPK43DrveqFQ9GTfTvIPFvDyoGtO7FVSTvMU2er2d4eS8ueFXvB6ptryyU0E9ZhpxPewaNLt34oA9dVPdvCKpNLyvxai7JeImvF4a9TxNG4c896hIve2oTb0hG5s8sxrOvLLhW70cjYO8ZeH+PPTFCDxi/r65GMVtvaNv/Ds8U/e8gnCVPKj+HryiN5S6SamiuuSMHb04qSq8lv4mvHZwm70jcEE9rHCCPMQ2+rhiGvM8t/6XvJnFsjxaNzW9Fqk6PYmpBbs8cDY9nlNKPIBTWD2R4Wq8bBrvvBhUEj0a4is9JVQMvQJw0LyZNxg9P6mnu99TLDx4Guk8c3AcPHvhdD03cDi8NYxtPKWo7jyyqGi7nxpXvAxUF71cU+m9ysWbvPj9b7rxUyS99/3vvMnFnLy4jLG6Ef7jvNc2crxa4g07AqnDO53+ozwA/mu8YozZvJw3lzwR/uO5scWnvA2NCrx1U108F42FPEVTczqXU028BVQbva3FKb2V4Wi8W4xcvK9wAT3+jBG8seFbPMpvajytqGq7Q+KYu1biD7wkjPW6K8XlvEFT9TtMjGO8RVPzPGxTYTznqFA9OakqPYBwFjxKxdY8r+FcvZRTz7xzGus8AP5rvDE3SLuDcBU91G9mPF7iCz0nG5i73YygvE+poDvzb9e8tjeLOvxv07vKGkM8+sR7O6xTRLzaNvA8KDfMPEAbDTxMxdU6NFSFvWb+PD1qN667P3A0PVxwp7z6UyC9HuIpvfVvVjpUcKu89RqvPE7F1DtpjNW8RqkkvTmpKjqcN5c87sWLvIXFu7se4qm7qTeRPWg3LzsS/uM7N6krPQHGAjz2UyK9PhuOvTf+Uj0QqT29/horPXPigrwEqcK8Uf5GPP4aq7ydU0u9teHZuz1UAT2PqPg8ZuIIPfQaMLwZN1O8mYy/O9lvY7wVGyE7Y8XLPPtv1LuV4eg88m9Yu7g3ijzzUyO9fBpnOyw3SrzON4C7m3CKvKaMObzwNma8qMUrPMSoYLzxxH+8jHARPDobEL0AcNE7EhsivUFT9bvS4Uw9muFmvJZwjL19/jG9/ajFPHtT2jsHcM68+RouPUo3vbytqGo7keHqvPf9b7xsjNQ8bv64PHOpDzuM4Wy8o4y7vLKMNDxNGwe8n2/+PBlwxrs/cLS8txrMvDT+07ydNxa92MWVvDtwtrymjLm7kqkBPHBTXz3t4b+8LeIiPd6MH7vhxRE8MeKgu/FTJDwVGyE9729Zu1uMXLwPqT08bjcsPW7ihD2V4eg5i6kEu/A25jyE4fC8b+KDu8fFnbuM4Wy7c1NevE0bBzwUjP28e4zNugNUHL2hGtY8+RouvFCM4bx4xUE87v1zulg3NjwLGyU8z+FNu5TFtLycN5c8d+KAPBTF77zX/gi93jbuO1wbgDzWGr4894yUu7v+lTvxb1i95IwdPMYaxbxYcCk9hjchvFk3tjwMcEw8rTcPvFo3NTzSUzI9kqmBvJJwjjw1cDm9pTeTu8X+EL2nb/q8Xzezvb3FobkR/uO8ucWjvFvFTrxB4hm9cakQvTz+TzzEqOA8NDdHuzcbETogN9A7OuKcPLVTQD01GxK92f39uxHiL7wxjO861qjXvOZTqbxRG4U8uYwwPJAa3jzy4T28wDeGvE1wLj30qEo71G/mPGT+PTzTqNm7NVN7PfT98bza/X074+FEPBGNCLxU4pC9qxrSPJ1wCbx2N6g7A1ScPIOpiDwcjQM8LnC8vAw3WbtaGwE97VMmO+aMHLtwxcU71cUWvG43LL1KNz08Iam1uy/+VTx84fS8djeovAJUHDwpcL68tOHau3Y3qLxRGwU9kRpePCX+WrsAjRC96Bq1vPHE/zyHxbq8AP5rvPNTI7zQU7O76G9cveRvXrzGGkU8zlM0u5Ma3bvTGj+8iqkEPZRTz7yFxbs7MxuTPBZUE7yvGtC8KBsYO6k3EbwDVBy6/KjGPAsbJTyYqHS8MlQGvXuMTbwvG5W8AjdevKqMNzxG4hY8U8VSOtn9/TwqVIq8ihphPCQbGruZcIu9TOKUPCqpMbyixa68KKkyPOqozjxfxc28pHCGPOtTJzzqjBq9TxuGPPA25jusU0Q8zTZ2u4mpBT2pqGw8xuHRPBgbH73L4c+8fKmLPGTFSrzxxP+6KKkyvHGpELy9/pQ8NhuRO+NvXzxvGm06Rze+PL7hVb02qas83FMuPLtTvbyQGt68WRp3OVUbA70lN867d/40PI+pgjwVVBM99cWHPCw3yjtcjNu7reHdvLI3jby8Nv47pMUtvR9wwzxccKc72YyivJyo8jvc/gY9MeKgPL2MLzw0U3u8OVQDPVP+xbyb/qS8sxpOPFJTbbxMGv28LRsWvNT9/zy5xSO7KVQKvR0bnTwYGx+9ZeF+vORTKjyAN6S8tDeMvD6M6btjU+U8SMXXO7TFJb3IUze7wTcGPE7FVDw5cLe7RDe/vC/F47v3xH28qTcRPRziKjtoU2O8MYzvPJ/+Ijxv4Xo82jbwuQlwzTyAqYk8AOI3vSfiJbx/cJe8pOHhvBSMfTz1jJW8JzfNvGZwIryxxae8teHZO5D+qTxAGw28nf4jvIapBjzgb+A82Bq9vAHGgruhqHC8bFPhOwziMTwgjHe7PP5Pu2uMVLpO4hO9nVNLPIuMRj1/xb48rFPEOxNwybxuN6w8FhugvIOpiDwkjPW76sWMvF7iCz044p28FRshPU+poLtWN7e8/P1tvBnFbbwbGx46FMVvvHmpjLx+/rG8bXCfvEGpJr3D4VO8EY2IvMyMqLzkb9672Ro8PUwa/TxONzu7dqkOvQQ33TxjU+U7XuILva2o6rvejJ88z/4MPLv+lTu0jLO71qhXvC/iIT3iGri8jKj6vEhwsLusU8S8tP6YPJ5TSjzZGjw8rIy2vHb+NbzUxRc8CXDNvDWM7bzJUzY8pMWtO1c3N7trxUc90/4KPcU3BLxWcCq6enAZPHr+M7w1N8Y60hpAPZSpgDzbxRM8QRuMPFv+Qbwn/lk6lXCNPas3EDzjb1+8qBrTOtWo2DyrN5A8SqkiPOZTqTwbqTg8XBsAPIzhbLzUxRc8nDeXvDMbEzzl/oE84f4DPA2NCr3CN4U86cUNvGiM1rwlxee74v35PPA25rxv4Xo81/6IPAX+6byINyC5d/60vD7imry84dY8h6mGOvHFCT1mqRU8meHmPD7imrzANny6SsVWu18adbybU8w8f3AXPTipqrtRGvs8JcVnvOJTqzu8/hS8zownvXH+N72sGtE8RVPzu19T5zy5Gsu6jOFsPKJwBzyxb3Y8pIw6vFmpGzzlUyk9MsVhO/xTnzzeUy29E42HPBxUkDyZ4eY8vf6UvLqMsDyQqQK9jXAQPa2oaj3eNu48cHCeOzVT+zxgqZi8Wjc1PHSM0DwHcE480VOzPPWMFbseVA88AlQcvP5THr26Uz081f6JPAhUmbsfVI+8U6keuseMqrz2qEk8AeK2O7k3CT2QcA897KjNO59v/rzrUye7wsUfPDEbFDuY/iU8v8UgPLRv9LsYG5+8rzcOPTjinbqMxTi8vW/wvKhwBL04VIM8zIwoPJU3GjsiGxu9/lOevEKMZzvnqNC8jlPSu7BTwrvJ/o68H3DDu+fhwjyScI67e3CZPPf977znGra8j6j4O1OpnjyZ4ea8fcU/vK0aUbzn4UK7gKkJvVQbBD1wcJ68u/4VveD+hDtyN6o8XYzbvOKo0jutN487Vv5DuzwbD7yvjDU9mcWyO++oTDxn/rw7ycWcPFYbgzwdVJA6SqmiPHFT3zs1/lO8hjchPHqpDD2vcIE7+8WFvVCM4Tzpb9y8ccVEPEzilDxzGus7d4xPvBqpuLtuN6w8isU5vEA3wbwdxes7k6j2vLfFJDqmjDk8YuIJPDCprj3jxZA8xf4QvQjiszxIxVc8BcaAvGvFx7zi/oM86IybPEfF2Lz04by8yhrDu6/hXLpLNzy8829XPBeMe7yo/p69O1SCvK03D7xQ4hK9quHeOyM3T7y2Uz+70MUYvR6ptrzMjKi7dP62PDMbk7w7cLY8jamDPcpvaj3VU7E8b4zTO08bBj0/xds7KsVlvIupBLzfb+G8FjdVvCVwQDx5qQy7T6mgvD6ppzo/cLS8LHA9PVGM4LuKN5+7BMX3uuPhRDx04oE8Uamfuz7iGrymcAW7onCHvJCMwzyd4WQ7jKj6OzqMazxaNzU9U8VSPA6pPjtZqZu758UOvPA2Zju0Nww8P1SAvOH9eTxq4oY83zZuO9X+iTwlVAy8aqmTPGbiCDjcxZO6m/6kPCfiJb3V/gm9dVPdPC7F47xu4gQ9v6hiuzXF4LzKb+q8FMVvPH3Fv7vMU7W8a/46uwCpRLxI4hU9MYxvvOEaubxdcCa8N3C4PMTFHrqNqYM8G3DFO97hRjuPqYK8FBshOmL+vrwaVJE7XHAnvD3+z7py4fg8Z/48PM9v6Lre/gW8bxrtvMc3g7wlVIw8FY0GvQSNjjudN5a8njcWPEEbjDxgN7K8OozruhX+YbwDxoE7Y+IJvXNwHDxQ4hK8rIy2vBeNBTyKU9O8L8Xju+Zv3TxVGvk8P/7Ou/UarzxojFY89W/WPBriqzyy/hk7NFN7vDdUhDsYjYU76VOoPI+o+LklVIy8KKkyvMvhz7wHxXW8LsVjOmY3MLzm4UM78KjLu/bhu7sIN9s8BXBPOjdUBLw6N0S8LeKiPBjirDy2U7+89P3xuqU3E7284da8p2/6O2H+Przk4cS6lXANud2o1Lxj4gm9if4svHfiAD04N8U5cHCevOf9d7vnNuo8SBuJvPHFCb2RGl48PjfCu/7EebzdqFQ8dsVCvAjiszuV4ei6mcUyPKL+oLyLN5+82W9jvKmMuLvGb+y7EeIvvASNDjyFGuO72f6HvD4bDr1l4f46gcU9Pc9TNLxHjGU7FRuhuzfiHby5b3K8UcVTvbBv9rzf4cY8LP7XvClwvrz/b9K8VRp5u65TwzkE/mk8IP5cvEA3wbyAqQm9+YwTvGYa8btMxVW8KuKjPFn+QjwKVJg8UxuEuwONDr2l/h89psWsO6xTxDx24Xa83owfvNI29LzWU7C7ym9qvJOMwjmVjEE8P4zpOksbiDydcIm8+m9UPacaUzxdNzQ7Dqm+PF3iDLxJ4pU7aMVIPH1wmDtX/sO8x1O3vH+pCbuZN5i894wUPcdTtzzxGjG78uG9PF9TZ7xiqRc7aakUvL3+lLwIjQy9PFN3PBj+4DybcIq86owaPWYa8TmbcAq95IwdvUbilryWGts8Gv5fusAaSD2YNxk8DOIxPIb+Lb374bm8icW5O/aoSb0xGxS89cWHvLaMMr1TGwQ7ZhpxvICpiTykcAa9t4wxPTLFYTyBGmW8lv6mOwCNELxOU++74sUQPJSpALz0NmS8ZP69O/pvVLxBG4w8xajfPN4aujyV4eg7Ham3PKk3kTweN1G8PjfCvF/iCzyfGlc8Qoznu4GMSjxrjFQ8C6m/vJ1wiTw6jGu8kKkCu+zhwDtzGuu7gVNYPPOMljyVcA09DhukvJFTULquGlC81cWWvBHiL7w8U3c8KhsXPBTiLTxFqaQ6rG/4u7w2/jyS/ig8zjcAPVUaeTwsN8o83owfu2TFSjzu/XM8JOImO8qMKb3R4cw8ADdfvB3FazziqNK70f6LOURwMjwcN9I7aeF8u5oaWbtvqZE8KKmyPAk3W7v5NuI8WRr3u51wibu5/pa7lP6nu8L+kjxVxdG7ClSYvKX+H7wWVBM8/+E3Ojw3w7yNqYO7y/4NvK3FKb0ON9i8SOIVPd5TLb0fVI87KKmyvG/herydcAm9VDc4PL4aSb1f4ou7gHAWPA83WLsEqcK8ZjcwvP024DyOjEQ6LlQIvW/hejxu4fq8JcXnOzjinbwHxfW8xhpFPDX+07u0U0A8ezcmvdkavLupNxE8lhrbvCepMj3l/oG8najyvDJUhjxs/rk8fcFHPDeAnzyCAHW9AupcPEm8FTxyWw68OXEPvEfFpjyfQkW85DIevZ5v9Tx+o6e8U++fvH2OGD2XV3k9J5v3uhpc7zrC3tA8InRrvMbqTj0lPio90eEYPV8Eijz6iSK863fKvBLPBD2P3x29IlbLPH2suD19jhi8dND8vMTVv7znTSw8EyBUPdgmxbttWKE83vwBvMi9nr2Fu6O7vszTvMy6DLxRFtG8CfNIvORfzrzH2z48hp2DvELXSD2lJxI8MHczuiBfXDztfcm8usBVPS+z8ztjQzc9VgquvZHQDb1zrF29mkVXO2qd8jvsShq9KCyIPTba/zvBycG88bz2vK6ra7zDsaC84SagvEMK+Dx2uFu72Vl0vNnqhD3kbl49SenFvMeuDjiH0DK9lNyLO1kBnTylWsG71RrHPB4IDr3YJkU9v66zvLyotLyH0DK86VOrvFDFAb10YY28bDSCPNsyQ7wzv/G7s3UqPTiAHzwCxj29GhowvfWqVD2oon+9Z5F0vGgoBDxBjwq7s4q5u4KglT0X4QG9z9sZvXq1Sb3zhrU9Hzs9Pc8ISjtaNMy8g+JUvemAWzsZ9pC9IEE8PA849bz3kjM8IUG8vAmxCT3mOB28qUgfPQwsd7y5fpY8JmJJvN0aIrx6kao8CSB5vFDFgbsUJtO5lkjpPDubrbuvuvu65DKePAwOVz03jy+8h+5SvftxgTs0VoE8uqK1PCdKqLxQ4yG9IiMcPKEbFD1wkc+7bHbBvLuTJby96vO8TQpTPIG+NT2Y/Zg8TPVDOwDPTr2GrBO9+IOjvK1UHT1S/i+9KYznPHx5CTxoNxS9hgzzvLhphzyC08S8ga+lu8DS0rvssHi8ZFhGPOlTKz1D5li8y7oMPbnAVbv7njG8xMCwuaNOQ7w/2tq8CN65vBpNXzwoSqg7cmoevHhti7x66Hg5y7qMvU/OEjzssPg83y8xPDzjaz1sNII8S/VDvfWbxDxbbXo8Hnd9vW6pcDwfSs08g7WkOyWA6TxnQKW86mi6PCmM5zzzlUU5W15qvYLNRT3ocUs9gQB1PFwruzyTS3s8yec8PYuvgD0DqB07qjmPPPyVoDzmVr08t6XHPC+GQ7taSVu9IikbPSmM57wzsOE8VASvO54ABr0xSgO8/91eO6Js4zyhDAS96zWLPUWwl7t8eQk9EBpVu8HnYb1FsJc8f/T2OhwvvzvCz0C9XU/aPNsywzxkWEY9nm91vZA/fb0eaO28NYkwvNrwgzxkSba85mVNvPV3pbw88ns8sG8rvAO9LD3pLww8TATUOjiPr7wGBes81vMVvZEnXL3XEba8StEkPOEIAD0yX5K7us9lPUD++TvQzIm9x/BNvTO/8Ts55v28KJt3PbBgG7waTV+8rXK9vBQ147wgMqy8WiW8PBDYlbwmRKk7UAfBPBfhAT1iYdc7VUZuPLRdibwQKWW7yL0ePc/qqbzKKfy8hu7SvBtN3zx76Hi7GRSxvAkR6TzrNQu8xrcfPf/7/rvhFxC95UEuPASfjLyoMxA8DuEmPTXaf7wJEWk8GSnAOyJ0a7whg3s8QOBZPMsa7DutRY08MUoDu5sYpzzxrWa7fJ2oPIIA9TsfDg09AvlsPVPgD7udD5Y8dmcMPD+8Or0W24K7smaaPFpJ2zxvTxA9dZQ8vZT6qzx+f4i5v5ATvSQvGj3KtA290MwJvAKonTyTGMy83GVyOu1uubytRY08OHGPuelTKz0PwwY8PeNrvEr+1LssOAY82PkUvSWP+bx1hSw8Qe/pPM7zOr1Anhq92Vn0O5EDPTytRQ28ygXdO4nlQT1H+FW82g6kvDOwYb0EvSy8C7cIvPGtZjtWGb68ta5YO9kIpTyCAPW8tZ/IPH7lZrwFtJs8wt5QvO2haLxQ1BE8Oeb9PIDHRj3WL1Y95SMOvVpJ2zxjhfY8sI3Lu7icNr2LvhA83AWTPHrEWbywb6s7oQwEPc/bmbtJrYU96USbu1ErYLxlKxY8cLVuPIadA73jSr88oAYFvSEUjLskTbo7g5EFPLOo2Tvna0y9k/orPE7dIrzFqI87gNbWvFIr4DxCpJk8JYDpvKyufb1yea691iBGPPprgju1rtg65G5evTt9jT3tfck709KIPN04Qj3vVhg9F0FhvEenBr2+nyO9WVLsu3WFLLxEmwg9sG8rvdlKZLvfPsG8bqlwPMzeqzz2XwS9WOyNPLVsmbz4dBM9G1zvvCMaCz1jhfa7g6YUvWE9OL2GDHO8WPKMvMSiEL2R0A09jSRvPfGtZruskF07YR8YvOyw+LzL/Mu6QI8KvYzirzwDvSw9AaKeve1QGb1jFgc9oDm0vLe0V72aY/e8Vhm+PHSjzDzwmFe7mu6IvcbMrjwzbqK8Qwp4PPjFYjxxVY876pXquwS9rLzqNQu7eNz6vEMKeL2zqNk8HSauPED+eTzycaY8jsqOvbbD5zwoLAi9NHQhPLBgG7wN8LY8aCgEPGJ2Zj0lIIq7PJIcvUrvRDy4aQc9IB0dvHJbDr2A1tY8CfPIOsCWkjyDxLQ8KIznukzIkz1+src7doWsO9syQzxEm4i8Tt0ivEXON73mmPy9rUWNuiFQTLvJ57y7J0oovYXKM7y5ulY7mSE4vDrXbbwQyQW4Tt0iPRk40DyMM3+8cabevClBlzxB72k7G1xvuW06gTuN6K48jeiuusHn4br1qtS7RMg4vdnqBL100Py8pFTCvHSjTDvvR4i8vNtjPLOKOTy2Ywg8jsqOvFxearxNClO8iRjxvPhlAzr/m5+8UOOhPNoOpDwG2Do9t5Y3PQCinjtCpBk9OpUuvbGi2rzjX04954nsvFbmDryre848PPJ7PPabRDy3lje47kGJvDCV0zryYha9zMALPHGmXrygV9Q5CsYYu0rRpLugBgU8hbsjPeQynjtgGRm8nxWVvfprgjy1w2c8us9lPWhkxLynPCG9RqGHvca3HzzU55e8ktaMPAe6mrxQ4yG8A70svf/dXrwTNWM8lB7LvG2L0Lz1dyU8Z5F0PdPYB7zcOMI8h9AyPRgyUTuQMO28OncOvRbqEj2Oyg69iutAPT2DjLy63vW8v64zPOFZz7z5tlK9Hjs9vHV2HD2OG948MKTjPIkY8TxROnC63RoiPIu+EDz1d6W7fsHHPL2ZJLwnRKk8ZGdWPPyzwDzXAia9W17qPL2otLtWN967LVylvNkdNLwZ54C8nm/1OwLqXLzQ+bk7MHezuN4psrxQ1BE8b08QvdHhmDsY8BE9SOlFvGeCZL2iP7O8QubYO3uIGTsFFPu82kHTPO2haLx6xNm7is0gvTlxj7yT6xs8UMUBPUjpxTtcXmo7y9isujuqvTxyiL47+48hPXSdTTtYQ9y7w/PfvCGDe7z3gyO8QP75u2pbs7wbXO+7AupcPA7/Rj15gpo870cIPSGDezz/sK67xagPu8CHgjzFqA892g6kvF0xOrwE8Fs88qRVPDatTz3A0lK8aDeUu/m20jsfHR29xrefO4WXhLyY/Zg7A64cvGMWhzvzYha7eNx6O1olvLzjbl48wauhu7RdCb15vtq7CSD5uxDYlTwPwwY7lTPaPPyzwLwMzJc8oEjEOWtwwrwmYsm8C7cIPKpmPzxRFtE78Y/GvC1cJTwlIAq9EMkFuxTzI731dyU8ztUavSun9Tz+mx88oUjEOwGTDj2G7tI8+bxRvMop/Dy3pUe9hgxzvJUAq7zU5xe9ai6DvQKZjbw/iQu9MoxCvFfsDbsGySq9rpbcvBUIszyibOM82CbFuyZEKbuDxLS8xagPPYXoUz23h6e8NHShuxjwkbyJ5UE8CN45vXV2nDvjfW467Eqau0cW9jxyeS68UMWBvCEUDD2iKiQ6uJY3PEGzKT2wjUu8C/lHPV4iqrwZKcC7YS6oPCtltjq/kJO9LU0VPYejAry7dQU9LDgGPOUjDjxtWKE8zybqvInWMbxhH5g8yK6OPGdz1Dqxfjs8IVDMu0TOt7wdF548spNKvIvxPzy3h6e8M7DhvA4FxjvLGmy8A+rcOlL+r7xvgj89I0c7vI7orju6wNW8gIuGvAKZDT2A1ta8mBs5vCib97srRxa8F1BxvfFNhzsR7aQ8cGQfPG58wDsE0rs6M30yPaIwI7xhLig8wt5QvDzye7y9mSQ8oHtzPNXehjzCz0A7FQgzPKgzELpROnC6YlLHvD6Ym7wY8BG9/aSwOUnaNTz2jDQ8WiW8O/GtZjxUIk+8Uv4vvF8Eirw3a5C9us9lPAL5bLyGrBO94hcQvCBQzDyulty8g8S0PMsabLxROvC8IiMcPBpNXzxK70Q82UrkuzJ9sjzuoeg8cluOPEsT5LwKxpi7h7KSPMWikLw+pys7cpdOvMPAMLzIwx099LnkOzdcALx1dpy3ap1yPfCtZr2keGE8iMehPOlTq7xH1La8YoV2PLeHJ72yhLq7ICytu2ZzVDwpjOc8c38tO8/qKTvtQYk6dI49vS5xNLzDsaA7fsFHvfPIdDy7k6U7dXYcvaUYgjukJxI92CbFPA/npTsgMqy8pWnRPEuzBLsvs/O78a3mu2p/UrqKuJG88EeIuxbbAjxOuYO8kuWcvET7Z7yM8T+9tWyZvPfU8rqQEs27oQwEvakzkLyjVEI8AM9Ou32sOL13fJu7427ePOBxcDu2chi8R6cGvKNj0rvP2xk8bppgPVlDXDuXV3m8gNbWPHyOmDunPKE8MozCPHydqDza8IM8eNz6vLuEFbqnYEA4ZRwGve9HiDwP56W8kxhMvPjUcrzpYru7r7p7uvJxpjwH7Uk8qYRfvL2KlLxROvA8dGGNvFLLADzTKVe8tqXHuxXqkjl00Hy8hZeEvKJsY7wyv/G8a1KiPG6p8DwRyYU8zuSquwkRabx90Fc88EcIPJcVujtoNxS8CbGJvG9PkDw98vu8+4ARPSAsrTwpbse7Lj4FvS5ipLxROnA8K4PWu0zIk7zKBd28SNq1vP/dXr1VVX48bYtQvCEUDLxG1DY7QqQZPfOGNT1VKM68MFkTvedNLDw4gB+7CsYYvDzye7zX5IU8Es+EPJoSqDzBycE8y9isvE/Okjzxj8a8gIuGvOBx8Dtxcy+9gdxVPPNxJjz+3d48i74QvdXehrz9d4A894MjvOV03byhG5S7PsVLPLZymDpJ78Q8KYznPGBb2LqoM5A7ttL3PEi2lrrBq6E8/LNAPZpjdzw1ZZE83GVyvDB3s7w+pyu8h6OCPdpB07xBnpq8dLLcOlcuzTxCwjk8h9/CPAbJqjq6z2U80R3ZusGrobzJ9sw7aCiEvNlKZDuyhLo6bGexPOhcPLs0oVE8Q8i4u2dAJb1Ov4I8u3UFPfFNB73kQa66fHmJPPBrJ7yCAPU7e9novNlK5LwZ9pA80MyJvJXxGj2hGxS80vCoPFMNwLyK+lA7UNQRO+k+nLz/7G48SAdmPZHQDTtROvA8+HQTvGZtVTwP5yU8ECnlvDaYQL3K57w8CCB5ugDPzjyD8eS7xagPPHBknzyAi4Y80eGYvIbfQrvmOB09lwaqvKMhEz26ojW91BpHPDizTjyiKiQ93COzO80R2zy+zFO9B6sKPUCeGj2FlwQ9YyUXPD3ja7sgX9y7K0eWvIDHxjy0irk8Gk1fPPRolTv+qq88uLrWu+1uubyK3DC6a39SPJtU5zpOLnI7r2msPCp0xrx4bYs8wNJSunyIGT2vWhw9zRFbOxT5oryRAz283GVyOwe6GjwJIPk8JSCKPOI7L7zfICG86YDbPC1cJTzmiey7qmy+vAwOV73F1T88wPbxO4a7I7ylh/G8Qe9pvXmCGjyWFbq8HXd9vOM7LzuY/Zi8PqcrPFscqzvGtx+8JmJJPCxrtbyhSMS8ht9CvFjyDDwP56W87X3Jug7wtjoMzBe8vszTvFLLgDy2cpi8Vx89vRApZTyOG94844z+vKWHcbyDkQW7KCwIPFtterz7rUE9BvZaPIb9YjybJzc7TQpTPDBZkzwucTS7pGPSuj7FSzueAIa896HDvKQnEj3KBV28vdtjvfyVID176Pi8HmhtPCRNujxqLoM7LoDEvJQeS7yMrwA81Qs3vIadA73VPuY7KCyIvI0GTzwL1Si7D/Y1u0jLpT2uq2s8g/HkvL2KFD0tesU8TPVDu84CS7weCA66+bbSPM8m6rziLB+9UitgO98gITx5vtq7fbK3PCk7GLylS7G9eNx6vJUz2jttdkG96jWLuwOoHbuladG7yL0evVYKLrw1VgG8OsjdPNxH0rwF0js8KV83PdUaRz0U1YM8qYRfO32sOD1LswS80Q5JvLOZSbzcR1K8i68AvYjHITxFvye8zPzLvD3y+zsN2ye82Vl0Pf+bnzzS0gi7yrSNPNQp1zqGDPM8ApkNvJfoibzbMkM80MyJvFxeajzlmHw8WRasu5AwbTuZP1g9AeTdPKU2IjxAy0o75olsvKtOnru6scU8X2rouqEqpDxkSTY8N7xfPCGDezxpakM732LgPClBFzm3pUe87mWoPBnngLyHspK8Bti6O40k77qWFbo83FZiPI/fnbx5ghq9hNlDPErClLybJze7AM9OO6NOQ7xQxYE8px4BPHhtC7xT7x+8vNtjPPzR4DpV5o48HmjtO/Ke1jwQOHW881MGvDaeP728hBW8yxpsvOd63DoDrpw8iPTRuyJHu7pEmwi8VgouvY4MTrw+mBs6PePru6tOnrwK1Si9DL2HPAbJKjwN4aY7s7dpOMTAsLoPw4a4NcvvvEvgtDz41PK7Lj6FvI0kbzoMDte8J1m4Oy1NFTxcDRs9vISVu8DDwrugOTQ85mVNPGI0pzwI3rm8L0QEvO1uuTuoJIA8Et6UPHapS7wCmY28/qovvBnngDvhAgG8+KdCvLFRi7zbIzM53vwBu84m6jv/3V48BeFLvPBrJztqWzO8/XcAPdgmRTxxcy+9FeqSu6yfbbxcQMq8k+sbPbNXCrwofdc8YhCIvNXeBr19fwi9Uvgwu1ABQj2/tDK8xsyuvIask7rPJuo8YCgpvfutwbwkj3k85FA+vNULNzzbMkM8s7dpOzt9jTo2a5A8GPCRPHZnjLumb9C8r2msvIEAdbxtOgE6ZSsWPHqRKjvdOEK8BbSbvIS1JL3nR627o05DPVDyMbsQKeU6jeKvu7Bgm7ujTsO6lxs5vdJB+Lz2bhQ9BL2svAy3CL0P0pa8YGpovLt1BbyQ0A08yMOdu7zb47yhSMS84ox+uv7Iz7rJ57y7yxpsPHWy3DwbXG882AglPBQXQ71xxH49ao7iu0fFJjxtSZE8aFU0vE7dIr2lNiK72Vn0OyRNOryZ7gi8Ml8SvE6/gjx43Hq8kQM9PRTzoztoedM5Uv4vPQ3bJ7zgNbA75DIeu2I0J7sBty29vsxTvaF7c7tWN947CtUoPcjwTTzOxoq7jgbPO/fUcjuCvrU7UNSRO7rPZbwMLPe8sVGLOWw0gjvqpPq7iamBPRn2kLs842u9srdpvaNj0rw2nj8888j0vOEIgD1ZUuw7PKGsPGx2wbxtNAK80vCougSfDL0mJgm9LTiGvJYkyrz4p8I8yK6OvEby1jwgMqy8smYaPeYpDbsK1ai8jSRvPPmJorsmUzk5f5SXPBprf7uGrJO8N1wAPe6h6LwqMoc8NFCCPHd8m7olL5o8YWHXOvjFYjygBoW8oFfUu9JBeLyXFbo7rD+OO7rPZTx6pjk8/rk/vOACgTwoSqi7cmoePI7KjrwXI0E7kxjMPDBoozwidGs8zsYKvTmkPjyLvpA7eM1qO5QPO7ydYOU8IRSMO5tUZzx/x0Y7zMCLuhfhAT1cDRu86mg6PZDurTxkSbY8FR3Cu7+uM7oP0hY9w7GgvGYiBb3TKdc7ECllvKV44Ts6yN262Urku2gohLs1eqA8XQ2bPONuXjybVOc7kO6tPPmnQrvW3gY7CKuKurmNpjsBxj28gakmPC5cJT2Io4I8ttL3OfueMbw1ZZE8XxkZOu19SbwrMoc6EDh1vFDUEb10nc28ZCUXPUT7Z71Em4i7nTzGvKMhkzweO7281+SFPL3bY71RK2C8aGrDOwDPzjsAop46Th/iOjuqvTx00Hy7p5PvvNHwKDtnQCW9uY2mvICLhry2chi90P+4u3SOvTqHowI9K6f1vMCloryvaay6px6BvPCtZj2R9Ky7sJzbvLqxxTyBqaY7HXlxvITrpDvR+ha93KG0OwiSlzseaY28JU+Ru/z6XTw4YCG6czTNOrYgED3g6wi9IyonvSWRCD1/vl09pQq0vJI7Gzy7I6G7z5O1ubYgEDzx9Ls8BsyxPBGdBb09wja8n/r5vI/xRj13PCq859EMPCqxpj239lm7MFWzvMws1LxoS7i6lGAFPIVi6rzYFem8hCDzurcDg70z/ou7CFAgvU55DrxvVia9FRyou1k9Ob1en048m+eEvHEcDD1/iY+8W0WWvL8BSD1ML7q8JU8RPfqgJTw5lW89/d1QvX8qC70pzjO9AQsYu+/P0TtlJs68ACglPDfcsjoXQRK9c9VIu1W+lrtKjr46PmMyvZkhHz1IhuG8JU8RvFbjgD0/2nc9HRptvVK2ubtRFT68AQsYPZWVUzxwLHA8AQuYulsDHzzfZ5o8aQR1vG9Jfbwhpji9GCQFvI4O1LvhYk69WPvBOvWAhzveufW8L7Q3PZAzvjtuFC+9cW7nvEDKEz2mgXm9cNqUvMu1jjuEjCA7WT25PNgydj3Mi9i8Gh85vfIZJr2apY09fCIuPR27aLyHKNA8l1s5vThgIbwnqcm959GMPMCiw7zcXz09z9WsvHWbrjw+pam7noM0u0iTirwwlyo8HKOnOzD2rjtR00Y8YUinvIViajzfqRE8vUgLPbYT5zutCPm6qBKRPGKKHj0Ep8e6LxO8u8VwBr3dd/67rJGzPADmLb2GUoa8HESjvNQ3Qj0bAqy8td6YvLHzSLwfTIC8EO/gOztbVT3rUC89PxxvPBHSU71VXxK9i7SbO+qvMz0yr+u8y7WOPItlezugSZq8I755vBP3vTxqiGO9B22tPO/P0buAbIK7oDzxPNZcLD3bvsG8z2n/PEGgXTpjol87dBfAvM1uy7p9mfO8/AeHO1ZCBT0zM9q7giW/u5I7m7zRjmk72jpTvc80MbxVvpa8sM7euxQ5NT2fZqc8NNRVvR+rhDy2tGI8xS4PvUfyDj2ow3A8G2GwPDfcMj3yDP07Kc4zPYzp6Ttu0re7cRyMveVNnj0F6b48F+KNPFMtfzx+fGY8tFoqPcmQJD13s++8wp33PCxqYz1GYXc8VLHtOwnHZbsC4WG9Qf9hPdn4W72uV5k8w99uPEflZb120Hy8itEoOtgy9jxgxLi8n2anPe2qZ7xW1lc9uxZ4vM+TtbyZwho8E5g5uyCBTr0vtDe9NP4LPGrn5zjQdig9UPDTvFY1XL35Xi69jOnpuzLZITxbA5+8dxJ0vD9GJbzop1Y8b1YmvDfcMjx7Pzs80nFcvEPFx7xXGE89ye8ovaGLkb2Nl465k8/tPOinVj2P8ca8NVhEPXKw3jvI4n+9PSE7vewzIrymTKu8G2EwPf0fyLw2mru88Tazu3nY2bxyXgO9r/iUvNkFhb1xvYe7spTEPFhaxjyB48c8RKg6vCx3jDzs1B28OrpZPCgtOL1/vt28XeYRvd5a8TzT0GC8m9rbvK0I+Tvk/v07nUE9PJPP7bwStUa9Ikc0PSvJ57yLE6A8tn8UPQLuiry+igI9b0n9vHyBMjxlx8k8gF/ZPLZVXrvd4yu7xM+KPDomhzsjKie4/KiCPUgnXTuRWKg7GBdcPYBf2bvpikk9iGpHPJ7iuLzfPWQ8MFUzvWo2CLvYMnY8GfpOvdCr9jym7aY8gABVvUpMRz0838O8poH5PK0IebzbfMq8mHN6O4Ilv7wPa3I9156jvBD8Cbvtt5C6OL+lOy9yQDtjAeQ8w2gpvA+t6bvYIpK8mvdoPXDalL2ibgS92QUFvX0FIT13s++7FbD6u60I+TmoEpE64EoNvfb3zLx+ppy8O/zQPB6eWzxawae6ET6BPCiMvDzhSg08DBE6PR0nFrsAh6k8QuJUvIyK5bvUN0K8bO9EPa86DD0s1pA9spTEvGKKnrr6QSE9NbdIO5t7V705U3g88ZU3vEWLrbwX1eQ8pCfBPLT7pbyDqS09oPp5vAPuCr2Fzpc72fjbO3s/O70830M9eESHvbY9nbu6QK48rkpwOmr0kDynZGy9WPvBvLkbxLtNVKS7DjakvESoOruwfAM85jARu0ewl71mqry973BNPCUl27qVlVM7dZuuvF3JhD1q52c8OrrZPP3d0DxCQVk8WT05vUiTCr2yNUC9jSvhPAqqWLwXg4k7QL1qvdT1yrz8+t08W/b1vNIv5TxIkwq8y7WOO7vhKTyNK+E8a9eDvYGEQzu1nKE85o+VvIakYb1kUAS8Fv+avIswrbwt7tE8R6PuPCpSojz7JJQ8FzTpvE3o9js838M8P4icuzOfBz1u0jc94OsIvWfsM70mZ9I8gaFQvcIJJb1W1le7LKzaujK8lDxAaw85aUZsvQ6VqDygSZq8ruvrOy8TvDwz/ou8aQT1OwPuCr25G0S72Vfgu/SdlLwVHCg8i6dyPYaxCj1src08NVhEvULi1LvcADm9dfqyPF0oiTzU9co80x8BPOuFfT3eufU7DbI1vH0FobxINAY8Iaa4OrxYb7wEZVA8EGtyvPyogjzhINc8GMUAPSpFeT3bHca7E5g5PPARybzsx3S7hlKGuWSviLy+v9C9k3DpvB5pDTu3l9W8TZYbve5YjLv8qAI8gYRDul3mkbzLtQ49WsGnPA9r8jzFBFm91Xm5vGhwIj0Q72C8czTNu/3dULkPa3I9tI/4u5hbObx/vt08R1GTvEBrD70kAHE84H9bu2s2CD2aBJK7iU06PG/3oTwWoBY8w99uPFZCBTsPrem7pIbFvDqFi7z6oCW8z2n/PHWbrjy+ioI9VB0bPaVpOLykyLw8o0ROvQiSl7ss1pA8qHGVvMzNT7vujdo8MJequ9wAuTyrrsC86EjSu9Bp/7tchw29n2YnO+EtgLz9H8g8TKZ/vC5N1rtjbRE7qLMMPPgct7tchw07Njs3vbXemDxwLHC7K5QZPfTS4rucXsq8hhCPvNqmgDwtuQO9iMlLPL9gzLyIycu8JwhOvXc8qjqB48c8CrcBvbm8P7zkhzi8ogJXPfNOdDsCTY88HsgRPQxwPjsyXZC8ZK+IvfmT/DzKcxc7M/4LPVW+lryLtBu96czAPIQgc7z4ezu9abIZvdn42zxk5FY8hc4XPAMwAjzS3Qk8LxM8PHiWYrvcX727+8WPuuBKDb3Ts9M8ywdqu1R8Hz3mxGO9hcHuu5g+rLyFb5O7Fl6fvNwAuTxhO347P+cgPcOA6rzsx/S72cONPNI8Dr1Z3jQ9HMA0vSwL3zyP8UY9HlxkuaEsDb1iHvG8RmF3vJKan7yV18q8P0alPAFqnLxAXua6bK3NvI56AbzfZ5o81lysPL7pBjsjvnk7S9C1PKbtpju7I6G66czAOrbBC7vQq/a7O8cCvLsW+Lw6hYu8/6M2vA+VqLvlTR65n/r5PAloYT0yvBS8lL+JPFicvTyHKFA8UPBTvLsW+DugqB49GCSFvKlUiLwx2aG7D2vyO4YQDz0D7gq935zoOw8pezppUxW9UzoovRw3eryx88g7ervMOyJHNDy2tOK7bK1NPCrzHb1khdI88/yYvE2WG72t0yo7bO9EvHX6Mrx7nr88PIC/PH1X/DuLEyA9eJZiPDvHgrxUb/a8zPeFO/u45jz+YT885iNoOx2Gmjxpwv285MmvPOcTBL1BQVk7o+XJvPyogjzhwVI8+ZP8uxmbSj0cN/o8ez+7vLAQ1jtK7UK9B22tvKIPgDrFLg+9UXTCvatPvLxpER69OqIYPHhU67zAokO9czRNvbbBizsKqlg9WFrGuvGVt7tgxLi8pu2mOy2PTT0jKie75UD1vObuGTzWGjU7wgklvT+InDviA0o70Kt2PKAHozyX/LS8Tg3hvEGtBj0LLse80VmbPF+CwTy74Sk8N9wyPb7cXbyY36e8g0qpPB/9X7wPeJu9XJdxPM5RvrygqJ48NVhEPDomB7zmj5U8TVSkvL7phrxxvQe8O8cCPRp+Pbs/2ve82x3GvE+7Bb1N9R88YooevCwobDzmMBG9VV8SvQMjWTxXGE87VjXcuqeOIryT3JY8pCfBPPXfizzrDji9hi0cvSQNmjzScdy70Y7pu1ogLDxPT1i8JmdSvVMt/zuhixE9ZgnBO9rbTjvfPWS895hIPbDbB722tOI72CKSPH6mnDz0nZQ8Z42vOXS4Ozxuc7O36YpJPMnvqDvIrbG5nuK4ujVYRLwLLke9n8UrO4co0Lx/HeK7f8sGvaF+aDurDUW8kuz6u6OjUjsggc69HESjPItle7pH8o68rlcZudnDjTz/ozY7RmH3PKConruTEeW8QL1qPNB2qDwl8Iw8J0rFuQXpPj2qKtI89hRaPGRDW7wQ7+C8F3ZgPKdk7Lstj008vPnqvB158bxvVqY8f4mPuxUcqLwz/os82QUFPRHS07y2wQs7rQj5PHfAmLwq8505bZBAPIjJy7yNlw68u+EpvLXRbzyizQg9SNWBu/xmiztIhmE7PIC/vLbBizw5Nmu8kRYxvQkzEz29O2I83wgWveJFQTwgw8U8DxmXPFJXNTxzdsS8NBbNPO/PUbu74Sm7KvMdvWJIJzyFzhe9P4icu6IPgDlONxe9QU6Cuys1Fbv64py8FpPtvCpFeTziA8q7OL+lu/0fyLxLcbE8twODvDX5P73hwdK7WJw9PTnX5jx4N168cM3rvNCTNTyciIC8j/FGPTnXZjzapgC9AOatPCGmuDyUfRI9wmipuqlUCD2/YEw8kNS5vPsXaztZ3rS7036FvTnkDz0j6C+9PcK2vM80MTmV10o8CXWKupJYKD3GiEc7k8/tvB7937zW8P48jW3YvNXYPTw830M7UJHPuyEFPTz1tdW8H6uEOUNmQ7vObku84IwEPW2QwDyp9YM7tn+UvL6/ULzMzc87huZYPItyJLydvU68XIeNvObumTz4vbI5jnoBPX585rsHbS08wmipvHZ+obvZw426YUgnvWKKnrxkQ9u89Z0UvfqgJb1xexC83AC5vPTvb7yzGLM8b7UqPezHdDwjbB68ogLXvOVNHjxtkEC7DM9CvDceqjyZgCM93rl1u07L6Twq8x08+ZN8vF8jvTw33DK8/d3QvEsvuru1cuu8Rm4gOe9wTbwHr6Q81vD+vC7RxLwpby+7wp13vC7RRLwIhe684N7fOvrVc7y2tOI84IwEPRgkBb27Fvg8py+ePFXzZDs2O7c8+V6uPFAySzx3EvQ88+/vuiO++byiD4C89XNePRjFALwBapy8w+wXugjxmzwDMIK7DjakPGqVDD1XNVw8voqCPDnkj7yGEI87oYuRO1WUYLsnCE48uby/POaPFb21cus8mgSSPD+InLzCCaU73Xf+PJG3LL2Uv4m7Qf9hOpkhH7wLLse8YkgnvHJR2rz5/yk8hrEKvb07Yj0p60A7B6L7OxNWwrzvmoO7o+XJOyJHNL2doEE7jTgKPHZ+oTqZIZ88MPauPD8c7zxf4UW8rXQmvZkhH71hpys9K5SZvF0oiTwXQZK7qAXoOyWRiDyqKtI8DC5HPAH+bjodu+g8Z40vvKF+6DuxUk29XSiJPKwNxTqqKtI8GMUAvFK2OTwGzDG9Kc4zPRby8TwQuhI9OoULu4BsAjrtCWy619PxO9+pkTzZZAk8pIbFPCnrQDxHUZM78TYzvDvHgrwUe6y6Qa2GO5tGCbxbpBo8JKFsPMCiw7wtuQM7os0IPKhxFT0TVsI8pCfBO/lerrwq8528LBgIvL0GFD3nEwQ9HmkNPWNtkbztt5A7VQCOPNlXYDy1nKG84+Y8vKbtJr1AKRi7eEQHvNB2KDztque8Njs3vZIu8jsbAqy8tn8UvIBsAryLp3K8b7Wqum2tzToYxYC8KlKiuxw3eryLp/K8n2anvNn42zvumoO8Yr9svD8ELry2PR28+ySUvHg33jzSfoW6m9rbvOdl3zx2PCo9qAVovKoq0ru42Uw8/JtZu74e1bznEwQ9cl6DO2r0EDwKFoa7LNaQPPwHBznEz4q7bnOzPO/PUTtoz6a8i7QbvHEcDD1Go+67nuI4vQnH5TzBhTa9GBfcPNbwfjyaY5a7jZcOvQhQoLo5Q5Q85sRjvN1CsLznBts4+Hu7vPGVNzz5k/w70HYoO0txsT3P1Sw881udvGIecTwPlag7wYU2vJWVUzzQaf86QF5mPB9MgLx4N968WPvBuz+IHLwVsHq7TSruPIBsgrwwVbO9FNqwu8UEWTxiffW8xXAGvInutbxpUxW8LNYQvWFIp7y1nKG8lLJgPAsux7yfxSs8QCkYPdNUTz31c9471vB+PPUhAz30PhA7k30Suyx3jLqGUoY8eRrRvH2ZczwxOCY8DwzuuqarrzyG5lg71lysPcuoZTyTcOk8kHU1PCepyTs0QAO7xohHO0iTijqopmO8EO9gvBTaMDy+fVk8xudLvFRvdjyGLRw9tiAQPB0nFjz3OUS8W6SavDOS3jz7F2s7XIcNvMKddzz5/yk7Y2DoPFs47TsCTY+8KvOdPCEiSjxPu4W8JfAMPNgy9rvJ4n88ie41PF2827yUfRI9yST3uyQA8bzZ+Nu86EhSvJ/6eToiiSs7f4mPu6izjLv93dA7JePjPFx65Dq7IyG8czTNPAJNjzz0nRS6vaePO/eYyDxsTsm5rPC3vPw8Vb3sx3Q8B20tu/8Cu7xbAx88WwOfPGkE9buJrD68QMqTvKeOIjyopmM8N32uOhgkBTxjAeS8mmOWPALuijzmxOO66YrJOsWl1DwyXZA6cNqUvBofOT1LcbG8PN/DvFsDHzzbmVe6s7muPKtPvDq13hg9gKHQvF6fTjx3EvQ8+By3PLZVXjy9SIu7VqGJujIbGbvTVM+787qhO404Crw5Q5S82QUFu9giErznEwQ8mJ2wvOkrxbuLZfu82fhbPI04irzrDrg8GMWAPFRv9jsRnQU7P+cgPXgCEDt+Rxi9mcKau9uZV7zJMSC8wp13O43M3LuciAC8dfqyvNGO6by2IBC8LHcMPF8jPT29BhS8BAbMvDlDFLoOKXs8gGwCvdLdibxxHAw83F+9upFYqLwaHzk8qfUDO4msvjxVvpa84kXBPP+jNrwqsaa8R+XluylvLztvc7O7trTiO2XHyTvEzwq8pkyrvItl+7vLB2o82WSJPJL5I7zg3t888Tazuw94Gzyfxau8EPwJvSuUmbzMi1g8tsGLvEEMi7zsMyK8FpNtO0mry7w5U/g8+L2yvLeX1btz1Ui98ngqvOmKSbwU9z28gsY6PKmJ1jyE3ns8r/gUO4JnNr0f/V88+xdrvM0PxzxvVqa7p46iOvqgpbviRUG7FRwouzD2rruAbII8lQGBO3g33rrcX7071PVKPa86DDycXkq8FzTpPJf8NLy2f5S8pquvPFj7QTtStrm80ZsSvSpFeby0dzc9CXUKPWVoxTw+BK66Au4KPHhEh7wzr+s6+yQUPCXwDL1tTkm7spREPQDmLTz8+l27c3ZEPD6lKTuAodC8vr9QvSUl27quSnA80Gl/vKgSET1jbRE7t/ZZPNZcrLwggc68XIeNvAq3Ab0CTY+7b/ehOsaIR72iwN87MPauvHdhFD3D7Je7d2GUPFSx7bq6/ra865Imu0vQNTz5ezs8ChYGvIjzAby9BhQ9wgklPdf9pzvZgRY87arnPMoH6jyN2QU82tvOPFq0fjzqDji7IIFOvBzANLyyNUC69d+LOyZnUjsznwc9pMi8vPARSTyQkkK86q8zukrtQrvLB+o78/yYPDomB7tq9BA9cXsQvTmV7zssd4y7kVgovOVA9bsqUiK8Gh+5O9Cr9jtAypO7CreBOzTU1Tt6edW8spREPU5sZbsKqti6D9efPF3JhLyqbMk8A8RUO1ogLL2e4ji80x8Buxi41zxODeE7YswVPFSxbbzhLYA8pCdBvDaaO7t55YI8TLMou6D6ebzwssQ6KvMdO2jC/TrMi9g7W6SaPAXpvjyqy028N9yyOg1Tsbwznwc8ZSZOu1k9ObxjbRG7XbzbO+Xh8LweXOS8hAgyPffaP70bAqy8HKOnvOfRjDtkrwi9fWSlPCoQK73Mzc+7+V4uPLWcIbwjbJ46zzSxPJg+rDyfZqe85iNovNPQYDzTfgW9MJeqvHgCkLzipEW9H6uEuuXhcDv1IQM9AqwTvTq6WbrNsMK7c9XIvC25gz1EqLq8fMOpvEewlzyUYAU8Ka/7Ouu7Lz3xGEi9R3OsPKrtPby6Rzu8qn/mvCVZNTxgl5C65SuZOvXc5Tz3UQ+91y89vUQVizz+BXc9bIyavFxlG7z8tgI9vj5XvFQ8Cj21UJ8622EyPPuDhLvmvcE8Y/UxvZZhSz02IYo6d4GkPJMDqj2MQJU8VDyKO5+ZCb0ToRY9FCtku5MDqjsFpbo82TYPvUZALr39e6m7nCw7vUDjFbw4uoS9wBKrPEVsWryHbco6xXceu4II1zyxJoU777qmPAOe6DzYYru8RdqxPByPTrpTLV09/2tzvQQE5bxsHkO9/nPOPJDJ2bzh+SO9xaocPYF+CT1xe9u8TJ1GvGt9bTzZNg88VJNZu9KXyzw+Shu9oMyHvEOvjj3nxJM9Qds6vQVyPDz9rie97VQqPSP7kzyEM3o8k3GBvFKjj7yrjhM87SGsvDXui7x7RUI8sR4qvDSIDzx2cne86e+2PHoSRDy+54e8SzdKPZRppjtIR4C9/LaCvD5KmzzPpwG9dnL3vB0wpDz/2co8A0eZvFtWbj08fqK8thXGOxMzPzygtf88jAU8PPcekTy7DGK7Fcw5vWzrRLyxsNK9aiYePWXle7qFfYA8Ojz3OvewOT16EsS8MImYPN0mWTyrjhM8O6LzPGQosLznVrw7L7XEvOrn27v1hZa8ek0dPfXc5TyDFwS92VrgO33ePD1jY4m87FwFvWHKDr1UPAq98apwPIV9gLzcWVe8PghwvHhGSz2/TYS87cIBvc8GrLxWvny8qMKaPNCQeT1+f5I86udbPIeoo73Unp287VQqO+MkxzyyWQO8cxwxPLC4rTw8fiK91J6dvIjbITytJw69gkOwOyLIlbr4hA298+wbPXLpMj1b/x69XPdDPQ9vIbuIZe+7MbyWvLR8y7zVKOu8j2NdvFMt3Ty8cl66jaYRvTS7jTz7p1U8+zl+vaG1/zrD3qM7njMNPcFFKT35SbS7kvT8vEvJcjzT/cc8AA1JvQlpWD3Sysk8zDqzPETijDxFSIk8gKq1PMcQGbwKYX08w94jvRmQVz1SaDY8dCMDPfCyyzrYYrs832CpPXPh1zxSaLa8I/sTPTyxoDs4f6s8ZfwDPf3pALyS0Cu9q8GRPfFTIb3mkZU8OuWnOUbaMb0qLAC9JoyzO/XcZTzHQxe95pGVPYf/8rzBeCc9/emAu4QPqbz7UIY8G5epvJ9mi7sn8q+887HCPPRSGD0vIxw9g839vHqkbL2+5we9TqSYO/Psmzxxe9u6YVy3ufBEdLzHAew73ccuvIAYDTzemwI8MRNmPKvl4rzgWM48VC3duyeEWL1/5Q48vwP+PN1ohD0Txee8ObKpPfGq8DsbKVK9r40KvOVeF7u8To28DwFKPREInLzawNw7tkhEvK1ajLzICD47uYKUPD2pRb2shjg8UtaNPGMwCz2Y+sU83CbZPCNS47y7DGI8wbOAPFYIg70ugka96ufbvCW4Xz1dKsK7/Dn+OjPnOTyIDiA9D6KfPbBK1jvBs4C9ZfwDPS/owrw+3EO8ggjXPDPnObzzfsQ8AjhsvNj04zp6gJs8frKQOw48Izt9cGU7aLH0PFbVhLxvixE8N3D+PB/Jnrtgl5A8pyHFPBIAwboJEok90DHPPL1GsjswiRg8Qg65vPWFFj2LDRc6rlKxu/4F9zzQbKi7eRofvbLjUDwp6lS8VggDPPZKPbzBs4C8DpPyu/2uJ72mKSA9SNmovM0OB7wzVZG8KiwAvY794LopWKw7yamTvO2PA72y41A7OxBLPYsNF7pCOmW8SKYqvADSbzy0fMu6clcKvTXuCzxuJRW9urWSvMcBbL3XnRS6IMHDujrlJzxfiGM6V80pO52aEj0bBYG7VTQvPSiThbzr9gi9F/dcvYAYjbvBeCc8pu5GPS17dD3Bs4A9Vmctvfl8srxSow89/emAPC3h8LyPDI68xAlHPNrA3LwTxWc845KePCQukrxv6js8+4OEPFHH4Ly9RrK8AhSbO8QJR72njxw9imxBvW3ylrzKDxA98RjIO3uzGT3h+SO9W1ZuuwcLN7z7p1W7z8vSu1eS0DyyWQM99Re/vGuFSL3NoK+9RwXVPPuvMLyvwIi8LeHwOvnqiT1RcBG8NUXbPLGwUj2TPgM9kgsFvBWR4LzZA5G9nSTgPHOm/ryESgI9uwxivcSb77x16Cm75SuZvMbdGj0fW8e8ZH//OyW4X7sSbhg9F9MLvYUPKTyS9Pw7oiopvN8lUL3qVTO891GPOsCk07yVwPU8dEdUPX/lDj0ytDs9pJClvCiThTscVHW8N3D+u3msRzuak8A7L0dtvdsuNL32Fz88PEPJvKX2Ib1xe9s6zQ4HPApFhzzoiTq8dhsovQd5jrtW1QS9GcPVPPYXPzwOzsu8N0wtu9DL0rzL1La8VgiDvKMqqb1BFhQ9V80pPHwZFjzogV89prtIvddqFj2yFk+9rrFbPORP6jxJnk8922EyO9wmWT2OnjY87VQqve+6prvc6/88KUl/vBU6Eb3265I8nc2QO4DdM7vY0BI9yakTPCosgD2cvuM7frIQPcJwzDtmwSq7fn+SvJRxgb2xsNK958QTvXZy97t+spC7UGHkOtUEGrwn8i87mwEYvIGiWryfZos86IFfPPAgIz2mTfG8TJ1GvdD+ULsoYAc77Y8DvYWZdjyjiVM9ZeV7POuIsbxN0MS78arwvPkOW71Ge4c7VM4yu5OV0jw7S6S8384APcJwTDzmI747chyxO7DzhrxCfBC8nSTgvMgIPjxGroW8/nNOPQp4hTtg9jo9I1JjPFX5VTtMCx49nSRgvZrOmbshYhm8V82pvLUdoTzovDg9H/wcvEJJEj145yC8hKFRvMM1c7u4rsC89uuSPMWqnLxPpBg9vOC1Ok6kmLzzfsQ8JseMPEIOOTzCcEw6rxfYvIPkBT2nIUU8ttrsPN9gKb3clDC9/uElvYkGxTzDEaK8e0VCPYkGxbykVUy9RzhTvVcsVLyaWOc8+KjevORXxbwFpbq86/aIPVa+/LuBoto8Yo81PeXwvzxVooa8CNBdvfjjtzwNCSW9thXGPDerV7yJdBy9oCPXOiu2zbyPP4y9v00EvCr5AT1wFV+6wzXzPJXAdbwxE+a6OuUnvMaiQbw0Tba7TqQYPAmksby92Fo8YjCLPICqtTzsgNa83AKIPMJwTLzDEaK8alLKvLp6ObseKEm8jv3gPB4oybwEBOW8Ilq+O/TkwLzFPMU8Yo+1vAIUmzx7RUI92GK7u/9r87zvuia9YGSSO1KjD7yY+sW87BL/PJy+Y7yrU7o7QOMVvZ2akjxZivU8qlsVPSiThbsXmLK8rlKxuwpFBzzu3ne8kvR8PFFwkbyQyVk6yjPhvPdRj7zrKQe9wqslvemQjLxg9jq7urWSPHh5ST2cvuO85r1BPaEb/Ds/1Gi5T9eWu8M18zwPAUo9M3livVv/nrurU7o8+xWtPJAEMz30Uhi84IvMO7UO9DvVBBq9UXCRvBU6kbzGb0O8QRYUPDET5jv15EC8/LaCPChgB70WoA08SKaqvM1tsbxYAKi8Lr0fPB9bRzydkje8wXinPJiMbrwte/Q8pyHFPNk2D70mHty8UQI6u3pNnTyCsQe8VC1dvEydRjyDzX298hDtOwbYuLzCPU49r40KPIo5QzyDqaw8+1CGvEzYHz0bl6k8iqeavE9pvzzICD698CCjuyONvLwKnNa8sR6qvXmsx7tt8ha9ZGMJvTN5YrzmkZW88CCjvBrSAjvT/cc8QnwQvTLvFLsG2Li8yHaVPGX8Az2/36y8LU/IvAN6lzuwSla8SGvRvLDc/rpmwSo87cIBPL3YWjzKD5C8o+9PvHwZFj3bYbK8nvizPGP1MTv7g4S84SwiPZv5vLwJpLE81jeYvDoYJrznG2O9NN/ePNH29bmivNE8vbSJPAphfTyH/3K7eqTsvDSID71sjBo9cxwxPO9/zbvnibq8A57ou/kO27zNbbE8+Q5bOzK0OzwxE+a83WgEvRXMuTrgHfU7avOfO6FWVby/rC48m/m8O+0hLLyJdBy9H/ycvI2mkTtQz7u8wICCPCmLqryWAiG8xEQgvaPvT7uIoEg6Y/UxvOAd9TtIFIK72mmNPByPzrxi/Qw7fXBlu1ckebs6GKY6tVCfPE2VazuLMeg7ZJYHPLVQnzzbnIu8LyOcvIqnmrxh7t+8vdhaPPvirrxo7E06liZyOTl30Dxg9rq828+JvHzmF7zIdpW9jECVPGCXkLzrTdi80P5Quj2pxTxIR4C8eoAbupc1n7prhci8GylSPOmQjDyMBTw8VpqrO/PsGz3twoE8/NrTu/1AUL0xvJa8lcB1PBEInLxP15Y85FdFu6p/5ryEqaw7cYM2u/GqcDruhyi8pOf0PM85Kr1CoOE75YrDPPsVLb0y75Q7Ye5fO73Y2rxr60S7Bz41PCgtCTwErRU9MFaavM85KjzdNYY7wGl6O3eBpLyI2yE86ykHvWMwCz1kKDA8qfWYvJRppjwaiPw8wnDMPBD5brxsv5i8Umi2PCmTBbyY+kW7s0lNvAkSCTx08AS9E8VnvAI4bLwbyqe85YpDvO/tpLuED6m8hA+pvPMfGjz7g4Q7qSgXvOH5o7vYYjs9vj5XvGSWB71qJh68837EPADS7zydzRA8RtoxvbgcGLtuhL+7cxwxPdhiO7yM0j07PeQePev2CLm5T5Y8LFejOzIiEz0hJ8A8jz8MvefEkztQnD28bfKWvJpYZzwgL5u8jNI9vA2jKLwp6lS8c6Z+vH93tzsHPrW6o12nvM0Oh7sT1BQ97hnRvIV9ADxIFIK8+zn+O6CRrjueM406kguFO9edFLw/fZm8qMIaPTerVz3djNU8152UvCLIlbvFqhw8SdHNPK/ACD3awNy70TFPvPbrEj07PHe86IHfPGjszTpWvvy7/OIuvLB9VLxe/hU8OSABva3sNLwWbY+8nysyvWyMGr2RpYi8p7NtvMuZ3bzlXhc8lPtOPbba7DykgXi8mGgdvWP1sbqWAiG8OO2CvLGwUrkgLxs9gkOwPPZCYjwk87i8s4QmPJrGPj1RArq8hUKnvJHYBjzHEJm8R+EDPUgUArxh7l88uxsPvY04urwDDMC6E8XnvIYHTrxZxU68/2tzuxDVHboRzUI9XpA+PVeS0LxnJ6c8zW2xPMluOrzSXHI8WAAoPUljdjxo7M08LyOcPN36rLz5FjY87O4tPQhxs7seuvG8nSRgOwk2Wjz4hI08/EgrOy7wHTyiG3w8h//yPBU6kbyhG/w7Jy2JvK5SMbwXZbQ8GDmIPNDLUr1IRwA9uwxivBeYsryMc5O8XZgZPfXc5bwDDEA8/J/6PPjjN7xXLFQ7QjplvLgcmLweKMk7Qdu6PDS7jT3YYrs72y60POmQDL0fIG45i5+/OxfTi7ykkCW8fKu+PNCQ+Trx5ck85fC/O85BBTuxJoU8P30ZvZByCr3HEBk8+4MEvAI4bDwUmbs8oTKEPD5KGzz+BXc8XPfDO0IOOTsf/Bw9Rq4Fu3jnID1SNTi9x0MXO3qk7DoGauE8sH3UO4o5wzv8n/q8CwJTPdWWQj06GCY8b+o7vN9gqTwmlA68cB06PBPF5ztKcqM7n2YLPCi3Vjyusds61/w+vEOvDr27DOK7Yo+1PAI47LtSNbi8FAeTvBIAQbuFmXY7VJPZu7NJzTxuJZU8ROKMO0pyI71Drw68g+QFPHSCrTyLMWg8J/oKPMPeIzvNoK+7fkS5PNf8PjxIFAK7LXv0vNM4Ib1fMZQ7TC9vO0vJ8jpbVu688VMhvV4i5zvfYKm82mkNulU0rzuWJvK8Rq6FvNwm2Tzc63+8O93MO2Apubwf/By9WMVOOlgAKDt+1mG8ZVPTvBCin7udzRC8HrpxvN+TJz1yiog5WSvLvADS7zxEpzM93CbZvNKXyzu22mw77BJ/u4gOILzKDxA9tkhEPKDMhzy7rTc8kmLUPMCAgjuowpq8wNdRPIl0nDuTldK8VG8IvPiEDT2mu0i7PalFvR66cTzpkIy8vHJePXqkbDyP0TQ8yM3kvChJ/7zLdYw7c6Z+u3VWgbvaaQ08aLH0vKBesDwnLYk8boQ/PHpNnT14tKI7kvR8vLXiRz0cVHW3SgTMuws9rLwHC7c82sBcOzS7Db0No6i7+4OEu0ulITxDr467F9OLPKCRLrwnLYm9OtZ6vCzpSzvoiTq8GJiyOvUXv7wd9Uo7VtUEvdXRG7zhLCK8ObKpO+pVM721HaE8kAQzPc4q/TyfZos8t+mZPI2mkTyKOcM7eOcgvF/DPLx2rdC8MYG9vPR+RDzrKQe7yGdoPLDzhjz5Dts7ijlDPef3kTrn95E8+h2IOyYe3DmRaq88q8GRvPR26bwpWCw8M1WRvCW43zzsEv+7UXCRu/Gq8DwLz1Q9j9E0u1bVhDw65Se8iGXvvB66cTzawNw83AKIO/1AULzCz/Y6zzkqu3F72zyEodE6VaKGPCPAOjwzVRG8prvIPGLCs7xUbwg7I8C6O28durwNoyg9b69ivBYyNr2Onra8Mxo4vIigyLvCPc68rEvfu4nLazsI3wo94VhOO7sMYrwmHly8OxBLPFFwETwSAME7SKaqPC8jnDwH0N26wXgnPIYHTryCsQc8UjU4PIMXhLmVwPU71ZbCPHC+jzpfiGO8itqYvCfyr7z/R6K74SwivPkOWzydkre8jwwOPXZOJjyFfQC8BaW6u0hHAD2wStY7rIY4vYigyDxZZqS8xESgvCUmN7tVk1m8M3niurR8yzydmhI9wXgnvKRVTDtUAbE6dnL3PGKPNTw33tU7VyzUuy7hcLwmjDM8HrrxO/0NUrpxJAy8+4OEu1RviLzUnp273ccuvG4lFbxEFQu8ZfyDOh8gbrxvr+I7+3TXPOyzVDu1DnS89+O3O0/XljxnJ6e8AXPFvHbgTruSCwW8oPDYu6ogvLwDnui6TZVrvPnqCb11VgG9C89UPHO9Bj3daIS8gaLavDBWGrlVk1k88RhIvc1tMb2SnS08QRYUOgcLt7y7rbc8eaxHPMLPdjyPP4y7VZNZPAlpWLyTWvm8OuWnu8LP9rnzsUK8DD0svFQ8Cj3qwwq8Z7nPu5ByCr08onM8oTKEPC179LzTykk85V6Xu0Kg4Tt6pOy8VG+IvXuzGbyBfok85r3BvMLP9rwYXVm8+RY2vEwv77uVnKQ5GvZTvH6ykLyBfgm9WpmiuinGA72mTXG8OqrOPF6QvjxCOuU7oht8vAesjL1YAKg8y9S2O+RP6jzq51u8gBiNvAB7oLtiVNy6C3AqvI6eNjx0gq27ZeV7PAVyvDvCz/Y7v02EPSFiGTyusVs75rVmPG+v4js1RVs7n5mJPBSZuzzs7i29thXGvM2gL7xI/fm6aRdxPC+1xDymTfG7WswgPWdLeLy5puU7C6uDvG+3Pbx638W8IsgVPV4i5zxHBVW82ci3PJILBTweKEm9cBVfvB31yrxNPpw8a1kcvKuOEz2/A34767svPNBsKL3fJdC8TQNDvAZGEL3VKGu8GWwGvaezbb003168EQicvMGzAD1quMa8cBVfO8cB7Lobyqe8UqMPu00DwztmwSo82NCSOzTfXrzhWE48GvbTPK+FrzqcX7k7EzO/PPR26TyqW5U4/6bMPEVs2jzvTE+8zip9vNrAXDnp77Y5YPa6OW+3PTz7rzA8rVoMvatTurxsjJq8ms6ZO4A8XrtM2J+8zDozPMgIPjyQN7E8gX4JvX1w5TgoSf+7xEQgvHbgzjrkT+o6DD0svHF7WzyZ8uq5KiyAvJFqLz39rqe81tEbPRdltDu/rC48XJFHPCr5AbyYjO489HbpuiNS47ykkCW7iw2XO9vPiTwQ+e68vxqGvOa1Zrv34zc7sLgtu/tQhrwToZY89x6RPMoPELyhMgQ9ek2dvPnqiTzHQxc8CkWHPLmm5TxUzrK7eT5wu3msx7pcZZu6VJNZuw4JJbxGroW7P0LAu4dtSrwZbAa98rkdPREIHL2kVcy66IHfvFfNqbxOpBi8L+jCPOuIsbxxgzY82vu1PDdwfjwQZ8Y6DtYmvOJfID3+rqe7wN8svXPhVzvZWmC96Lw4vPWFlrzE1si87Y8DPVlmpLxB27o8/nNOvQDS77ypur85icvrvGUgVT06qk66QkmSuzs8dzwcVPU79qAwO6G5uDyWzhe9WRtHPMTAzLzEwEw863y2vMXNJDySyDQ8xisKu5rf1jzFKwq9y0khvVnKOTx3szY9wYOMvMGDjLwlTzA9cJUfPIu1+TxbkWC8hqS6PIF5y7wD9448kFKbvdCgET0b2ii8mbpKPScjLz3Y8Iw84DOwuzRstbyusbE8TYGzPCPMPjwjzD48zkIsvctJIb1wlR+8IgUYvfqxb7uw1j29BuPBO3JEEr37HC27xBFavJ56/DwQBzy8W4aEPPqxbz0CpgG6Ml/dO7Zqbrxsd4g97TiBvYyqHb0TOSC9AgJruibFSTziBy+85ERvPXQjbTySJhq94zkTvdmq27rHlMu8kiYaPDEBeD1t+P28ofKRO29jOz1EGYQ9cgs5vTcH2zvjFIe9YDnePLlLxTziBy88KOrVu+srKbxC5587JWdkvAncTL0X+VE89SoXuxLDhrxbM/u8+Yxjuhvy3DpfIaq7G3xDPbmcUjz6se+8xkM+vDbvpjyPOOu8/Nb7u/JJwDwHQac8ZJ0mOnO6Kz0/nYe7PMmIvDv1iToj5HI9C5gXPYDK2LvzBYu88HVBvXQjbbwwgAK+nm+gPE+ZZ7zkLLs8qeQnvP7wKz0uFUW7/ePTPPPMMTyd+QY9b3tvPLCSiLxEahG8UQSlPIzC0buo18+8NHkNPb6Kgbwu/RA71RyOPIRl/jw521m8be2hvF+Xw7xt+H28lWPaPGBGNr03ZUA8gSg+vHdiqTz7vse7/v0DvYDK2LvBdrS8+C7+O3LzhD3UAt48/MufOy6sg718c+i862QCPMahozzS3dG7SczduwZ6AD2MccS7C0eKvK1TzDwMsEu95+GQPFEEpbxB2ke87YkOPVozezww0Y+8U9gjPadujrxeWgO9/XoSvaH97by05/y8zPiTvAP3Dj2RJho6SvFpu0xcpzyt6oo8XlqDvW34/TtQ90y8Q8Z6PL0sHD3r2hs8rg8XvankJzxeWgM9RAwsvQS+NT1b15E83JgKPAKZqTwIFaY8PwZJPNiqWzufzYW8wK8NvDpGFz3vDIA8N2VAPa9gJLy+igE9GLWcPQjP9Dviwf27cgu5PMAlpzvMYVU9Y5BOPRhXtzuGLiG9nD08PQ6cfr0ngRQ8InuxPDOEab0GNE+8t7Cfu9jwjDxy8wS9QBOhPWBGtjxBK9U8KDCHvH9hFzxGSew8Q5aSPFTw1zy/Uai8L7ffOu7/Jzxb1xE9QBMhvcZ8l72tjCW9JlwIvNa+qDvLVP08mjDkvF/beLyT+hg88CS0O1bRrjz40hQ9D1hJO8asf7x0xwM9Nu+mvMHfdb2SJpq85KLUPO2Jjj2usTG7jcLRPR88dTsj5HK9WVSgu0x02zpRBKW80Wc4PVCmv7zUAt47NZ4ZPIudxbqUqYu8YDlePGYrdL0JLdo8ZJDOOzTKmjzpBp04NrbNPA6EyrzYt7M8uweQPEenUb0L6SS95g0Svd0OJD1XgKG8lPoYPb7bjjxRKbE8ScxdPbFMVztCoe68/1ntPDTKGrz/TpG67NobPfku/rz6VQY9Kxy6vFcvFLzQ/Po8bbTIPBLDhrxivM87k/qYvByUd7yLNAQ7/58ePTv1Cb0pSDs8uI96Pb+iNTymKF090nQQPFWsIjvzHb+8a8gVvW34/Tzxgpk7aUWkugHSgjzevZY8Jq0VvUZJbD1YR0i8dlXRO+Cc8byxNCO9SpWAO7HjFb3vXQ09vTd4u234fbznvAS9bkuHvDx2/7olCf883JgKved207zZWc676exsPBqJG70bfMM6E+gSu5miFjpEux492y3NvHMYET2mYba8ABa4u7gmubwuxDc8/TThO+8kNLqewC29S+YNO7E0ozxW0S48bT4vPdywPrw4wyW9vTf4vKfKdzk4LGe7wBhPPcmNVj3o+UQ90E+EvdrEC72ebyA9Sdm1OiK0irxRBCW6nOyuOlF6Prw6Rpc8XJHgPP16kjweJMG6fYBAPN0OJL0tWXq8nx6TPMPATL2Dw2M9p26OvF0U0jkCpgE9PNRkvONEbzwBxSq9SirDO/TMsTzLmi674ECIu8o8yTyKhRE7iGAFvDA6Ub2zwnC9cf7gPFLj/7wuxDe8kuBoO2D1qD264oO6/UE5u2tqMD1QvvM7w0qzusVvv7wBO8S8P2SuPMhoSr2ZrfI7wj1bvTaembxjGrU8mdL+vI5+HD2uDxe9bHcIvB6Cpjz9epI91ssAvVrKuTwBxaq7/TThu29jO70Qtq68xqGjvKLGkLzWywA9Kg9iPTKljjwVx209fZh0vaA2x7t0MMW7UFWyPJeVPj26qSq81JkcvcehI73sK6k79dkJvfg7Vr3C7M28qZMavAbjwTsFbag7wd91vbUtLry8H0S9PLwwvElu+Dz8bbq7k5yzPAICa7xJbni8WA7vOzZAtL0276Y8YfUoPdrPZzzY8Iw9Zit0vZ2z1TyJkG29/DThPIixkjxEGQQ9H3XOOhzngD2h/e27uI/6vERqETw0eQ09VtEuOz4GybziFIc6pKXrOxEfcDvTOzc8JaA9PPgufj2tjKW8uxLsPBgGqrt27I+8vLYCPX2AQL2MWZC9IgUYvS79kLto5z68ht2TvCYW17sXMiu7CwFZvNQCXrwv3Gs8NkC0u2dxpTyIyca8s2YHvDKlDjsOnP48BCf3uxuU9zw0kUE8QMITPJbOlzyWwb+7hLiHOtvcP73ONVS8+w9VvKSlazxmK/S8B6rou/f+FbrIF706YgKBPNyYCjw56LG6P/lwvSZcCLzN1248t18SPdzpFz0nxUk9vZVdPVI2iTsiHUw9zRDIvPpVBr2usbE7uISevBbH7TuIsZI8lzdZPHgp0DyCNRa8kKMovA/iLzwWx+28gBvmPFlUoLtP3xg9bT6vu6LGkLwmrRU8oWgrPCGnsjyfHpO84gcvveFYvDy/ojW8T6Y/PfnSlLzuoUK9rC5AvQywyzrQ8Z68kj5OPdeSJ7xCiTq9UBxZvaA2RzwlCf88ft4lu3GIx7wQ74e8M1SBPV7DRLw8vDA8xB4yPXGtUzsMvaO84sF9vVPYIz1BfOK8OHKYPA0OMbxjJw29Y3gaPEc+ELyMTDi9N8MluwGMUT3ed2U86RH5PHWmXruoNbW6bsEgPH08C7zPWuC6cZWfu4QhSbzrZII8s1mvPLDWPTy2Oga9rTuYPBOKLbyaGLA7tYsTvUaPnbv5I6K8tdwgPAlmM70rbUe8Ngdbuzks57zJjdY8fYDAvCzYBD37vkc9xvIwvFLj/7w7r9i8gCg+O/B1Qbwg4Iu8agxLPc57hbzvDAA9YV7quwNInLt6QwA8L9zrPB6CprwSRPw6qeQnvGmWMTtK2bW85zKePA13cjzjRG+86UrSvPJh9LxS4384Ro+dvKHykbsclHe83JiKPOD6Vj3ndlO9dMcDPT7ulDxKiCg8MICCvH0vszzZCEE9o403veNE77uE0Ds8SzcbPN5fMT2lSYI51KR4PJt2FTxqDMu8B5+MO0ATIbyPRcO77CupO9iq2zvjzlW8zLLiPEljHL3LYdU7epQNPKGhBLqRu1w8fwOyO1KHlrxiGrW7LVl6OzUoALwAf/k8aqMJPT/58LyMWRC9Px59OjUogDxW0S48QMKTPBLDhjzg+la99mdXuzCAArz4O1Y9Rz4QvGld2Dyh/W08pDyqvClVEz0JZjM94cH9OPJh9DtMdFu9/ZLGuu8XXLz5Lv68WVSgvRoTAr32Z1e97DgBvKWyw7zUSA+95NutvB8xGbwHQSc9rfXmu3H+YLxHBTe9kbvcO2CkGz3fhL282s/nvDjDpTyBNZa8nnr8vHpOXLxCoe67kbtcPL19qTvpEfm8dTDFvLK3FD1GMTi9T98YPIJNSjsKmJe7Z8IyPbZq7roqD2I80nSQvOjUOLzAx0G9XJHgPP9Z7bzc6Rc9BuNBPAWF3Lq7qao7ft6lvCGnsryBKD48VGZxPAHqNryaGLC8+YEHPCFuWb2HUy28H5rau9bjNDzU9wG9+IxjvJuboTwe07O7aIlZOxSvubyjjTc8kPQ1O79RqDw6UfO8nm8gu5oYsDyDTUq8/TThOyscujsp9627YV7qvADdXrxh9ag5YyeNPIZG1braxAu8vpXdPNrP57yO3IE8NgfbOmFTjrxuEq66udUrPUxcp7nvXQ26dCPtPOPOVTzB1Jm8LrffvDt2f7oqpiC9ksg0PMCvDbyEZX482PCMu0DCEz2haCu8JlwIvHCVH7zIUJa9CzqyPO9dDb3H/4g7h1MtPFRm8TyLtfm8tYsTPZslCDt3wA69dxEcPHMYET1G4Ko734Q9PPf+FT17Cqc8HnVOO8Z8F734IyK9Qv9TvGIaNbwLmBc99ORlvFxA07zzBQu8MCIdvB889TrN1+68WbIFPX2Y9Lyo10+7JOTyPBLDBr3iZZQ7JlwIPPh0L71S2CO8caB7PC/cazyaxyI9fTwLvDv1CTypkxo8vTf4u+vam7p65Zo7fTyLvMxUfTyQo6i7MvabvDOE6Ty05/w8KVUTPSeMcLyAYZc8Rz4QPaZhNrx1pt47yBc9vKMiejtDRQW99/4VO/9OETyt6oq8SWMcvJmiljsQ74e8zGHVvFuRYDxncaW76DIePPNuTLy7WB09jRNfO1/QHL13y2q8487VPAqLvzzGrH+8vZVdvUQZhDz91ns7J9IhPTdlwLwjzD68ogpGPAbjwbvIaEo8dgTEPN8m2DvUAt48guQIvVRm8bqiIvq8/csfvXgp0DxgOV48C1JmvArpJLzfd2U6pQNRPLfI0zyuAr+7jRPfuxpkj7wIz3Q8reoKva4Cv7ulECk6Yz/BO/9OkbvxMYy64mUUPf+fnjnUAl68Hl0aPWJeaj0UomE8rhrzu0xcp7zB1Jm5h0bVO8qN1jniH+O7+rHvuj7ulDw8yQi9UQSlPG4SLjwC9467HnXOO7A/f7zH8rA68wULvY3PqTsdF+m8A0gcvWfCMr2Wzpc8PLywumA53rzEYmc5kncnPfkjojzVJ2o8q3L1vHnwdrx4y+o6jFmQu+3yzzuaMGQ9UKa/PN53ZTwDmam6z/z6uTGlDj0UUVS8CdxMvJ+H1LpsMVe8kAEOPY0IgzwojPC6iLESveZp+7yZUYk8OugxvRM5oLwW7Pm7uxLsvNm3M7yM+yo9/vArPby2grxaeaw8aV3YPFmlLbw5UfO7rYylPGjnvjxw2dQ8U59KPLd3xjqfzYW6710NPQefDDwNbBa8V96GOjXvJjyPltA6E6JhPQ9AlTy3d0Y8qZMaPdyYCr1bQFM6xFcLPIRaorz0e6Q81bHQPH6NGL01KIA8VGZxvErx6bzrzcM7UtijPPKnpbyEIUm8dCPtu9LFHb0OhEq7487VvH/22bqwP/87B7dAOsgXPT2/AJu83OkXPWb7C72153w8s89IPCpVE7zo1Di8tmruPEjMXbtm+4s8bx+GvIJNSrvUSI88M1/dvLsS7LzHUJY8HoKmvITQuzx6Q4A8AdICPGzTcbrAx8E8fph0u1hHyDxJbvg86UpSvCDgCz2IUy29SXvQPM1urTz7phO5rPVmOqFb0zv/TpG82c9nPfJhdD1nwjI8QuefvMVvvzvzBQu7Nal1O6pnGbyKhZG54sF9vPpVBjxQVTK8lGPauzDRj7wfPHU8rxpzPE0wprzkLDu8wK8NOuPOVbxS4387mjDku6N1Az12mwI8QqFuPLsHEL3jfUi8pKXru1D3zDxncSU79gnyPK9gJDy6nNK6sD9/PBDvh7tSh5a8DtXXvJG73Lu64oM6GKjEOjdlwDxruz29ekOAvPB1QbwmFte8v1GovMLsTbkrbce7NU2MvDKljrvBg4y8PwbJuwjP9LzVJ+q8/db7uViyBTxprmU8oiL6uz/58Lx+VD88A2BQvEx0Wz2ZUYm8Hl0avLsS7Dzed+U8KIGUvKco3TvP8R48JnS8u/KnpbyTBXU8HOcAvIV/rjy3d8Y7vvNCPNwBzDpoRSS8TboMPbGFMLyupFm88x0/vNaFTzykpWs8O3b/vMDHQTykpWu89CoXPcYrCrqUS6a6+qYTvMYrirzjfUg8lsG/vKGhhLyOLY880KCRvDTKmjwbKza8Ne8mPKDluT02QDS7iWvhu/QdPz10I+08nUqUvBraqLwfMZk87rl2vOtkAr2ruCa9izSEvLnVqzrFzaQ7rfXmOyxBRrwZVze9uweQvNDxnjz12Ym8pyhdvOM5E7wVDZ86iFMtvS1Z+rtWxFa8jPuqPCAxGb21La48Jv4iPbZSOj3w0yY8LCkSPDhyGD1MrbQ7jtyBPFKHljztocK6bx+GvFOfyjtCOC28dUh5PLtYnTxS43+8xB4yPQRgUDr/n566rYylPCd0PLshSc06JPFKuwxS5ryNIDe8iGAFvCeBFDwD94688TEMOmu7vTxGMTg9rqRZPDYHWzxCoe68sYWwvO7/pzxS2KM8xBHau5slCDxUZvE6w5tAvDzU5DxmE0A8ooDfPP9OEbyvvom8BZI0Otvcv7wzvUK8EsOGPPExDL0Xgzg9oaEEu+04Ab0b8ty8be0hvJaIZrwzX128RWoRu4XobzzWy4A81W2bumiWsbwaiZu8TdLAPOvNQzyeh9Q8pKXrNyMqJDy4j/q8FiXTup1V8LzYQZo8H5raPOMsO7uJkO06+77HPIRlfjxaKB87uCY5uxFlIb36ppO8GVe3vAVtqDvaz2e87TiBPAUndzyT4Oi8tToGOf3j0zyMWZA6wdQZvUftAj3QCVO8kAGOvJaIZrxvYzu9PMkIvNSZHDzNEEg8d8AOvGInjTq9LJw7TYGzPFuGhDtkP0E8sJKIvPh0r7gBO8Q8zpO5PDmKTLw8ayM6XRTSvOYAurx7Cqc8sZIIu372Wbz3rYg7i7V5OyIFGL0ry6y7D5GiPEjMXbgFy4260We4PF5ytzts0/G8TboMvRoTgrxdFNK8YrxPOhLbOrzTjMQ7AYzRvKVJAr0oMIe8wT1bPMvrOz3JdSK60LhFvJc32Tsiv2Y8b3tvvJppPb3//QO8FmuEOtzpFztZG8c8Gys2POn5xDyzfru8h7ESOtIjA71dFNK8MqWOuyTZFrz//YO85KJUPGqu5TwG40G8sfvJvP3Ln7y1ixM8reoKPSTZlrxDRYU8GtqovINl/rtNC5q8+C5+vd5sCb1KlYA8gkDyu6duDr27B5C8ZzhMvNLFnbtIwQE9/1ntvA7V17yK1h697M1Du5PVDL3JL/G7dMeDPF3DRDvwJLQ8T9+Yu3Qjbb2C/Dw9HJR3PMyyYjyhoYS8e1s0Oy2fK7zjH2M8+UguvANInDveJli8VcTWPLNmBz28Emy7nI5JPT0yyryDTUq8eBGcu2tqsDy64oO72sSLPLZqbjzTjES9UQQlvdPqKbwRH3C8+SOiOvDTpjtd/B08zkKsPEYxOL0cOA48/db7uhVerDuMTDi9ONvZPDteSzx3y+q79k8jPGx3CLzqHlG9KZlIvI3PqbsWJdM8G6HPu4S4hzxxN7o7OxqWPOM5E73k2628rTsYvF/QHL3ZCME76NQ4uwlmM701TQy8VVuVvCGnsjwWx+28aQxLPDy8MLtTNom8vLYCPRraqDzFzSS704zEu0bgKrz4O9Y8xGJnPAL3DjtiJ4256RH5POjUOD3iFIe6IrQKPVLjfzzoMh68BGDQvE+ZZzx8uRm8W0DTO7B4WLyIa+E8xMDMvEi0qbw5Ob+87hdcO9UPNjujxpA7wptAO7iEHjwoMIc8DHfyvLdfkrfNEEi8jjhrvM7MErxYsgW6oWiru3GVnzyEZX68X+hQvK6xMT3nMp68Gc3QPPkjIjz2CfI84zmTu1bRrjzzbsw8kiaaPHjL6rwGhVw8iA38umJrwjySPk685g2SPKIKxrr4xTw7Q5aSvMxuLTssNO48BW0oPDTKmjtQ98w8aq7lvDRstTy153y8/A9VOb6KgTwf0zO9QMITvPzW+7xaM/u7JaA9PE2Bs7wc5wC8gSg+PG3toby2ReK7lh8lPekR+bxMdNu7HK4nvVAcWbx1pl68Hzz1PIhr4bzy+DK8hw38uzR5jTugQx+6+epIvL6KAT0nxcm6ZEwZvcynhjxaG0e9UuP/ut535by+ojW7h/XHPGPJpzuxTNc8+77HvOpvXrwedU485Cy7vOQsOz1m+4u7pr+bvKvQ2jzslGo8NMGZO7l2bzyyerO87kIHPMkYP7uOUx88lt6JvO5tWzwUUia8fpnavKLzDD0x1lq9YaGgu5J/RTwMxzs9eie3O669/Lv7EQ09/w+rvOcrIj3mK6I7cbRBPE9dQzuImEo7jJZovXzJRD3RdaG7wtYFPbAeoz1/KAm7aiwLvXwPwrzSF688BQznPPNApTw6A9O8dJ8AvR7FG70oS3C6z0cZvXaa6rtzhFe9CT2julVeFbteo4I7cpzMvMJiAD0yZQm9lZXYPDHW2jxLXyW8ywDKO1MChbyMxHA9A/ZTvY87Kr1rs2+9aloTvF9FkDylfSU9oPBYPa4b7zu21OG8ilWBvMlevLvNvQC8dBOGO0gAYT28GzG93Cn+uw1pST0RZ2c9VuX5vHjLJryGPDq9TBmoPGnLZDxC7C88F2i5um7kq7l0Pto78D3xvF9Y77x4EaQ8NDUfvVjorbzsV8i8K6q0u7wbsTuBVpG88Z4XPYEQFDyR3be8pDcovWkRYj0cNu28AsjLvB1kdTzcKX48Z7XRO2o/aj2vvXy81edEPAaAbLwj8UE9jX7zPFUYmLyilZq87rNYvfISnbyNfvO93xQ9PAJUxrxfRRA8EtvsvIgMUD2VlVi8ZYdJPcX/9zvPcu085IbgO2m4hbyLa5Q7yRg/PE/pvbw/HJq8Yfr8PE9dQ7yS80q7zoriPLrq9DxsQh68+A7ZvELUurxH7YG8FJijO8OQCL3OuOq7v19MO5vEMj0s8DG8/bMavUMaOLzsy827hrC/uwb0cT3lzxE9IsO5OxWALr2YxhS9CiWuuSDbrrvhtsq7B5uVPGpyCDxVRiC8jFDrOmb7zjzwg269hcg0PJVP27yDsiG9PRnmOzIy6zwA4MC8hcg0Pb69PjwJPSO9SqLuvN6gNzvYGAG9rGYCvYNsJD2cfjW78Wv5vEW8RTxhhvc7YYZ3vUW8xTtxnMy6XqOCPJWwAT1u5Ks8zqWLvdwp/jx6bbQ8oUzpvIDiizyTZ1A8BsbpPP1tnTxTW+E8KtoeOmC5FTyh84y7B+GSvERIQD1ISZI8Sr0XPXc8+DwgZ6k86YcyPc6K4jxmtVG8jWb+PAdVGD0rCCc9nWZAPdjSgzsOC1e9YecdPTySgb1Mja06vr2+PH876LwCVEa8lt4JPByvCD3ecq+8ugWePW+GObwDPFE9hcg0vECj/jvlFQ89Y4mrPO/hYDzqbz29p9m1PEWkUDyAEBQ9zxkRvZDdt723SOe8oq0PPF+LDTytYew74M4/vGxCHrxzENI8kd03unubvDwOI0w80I2WOvFrebwcrwg9yOo2vZcfcb0Jsai8RV5TO4vJhj0jZcc7rU6NPfWEwDxESEC980AlPCZ72rs/SiK9wi9iPbiO5LzQFPu57MvNO2j+grv+4aI8/ID8PNwpfr1G6s26CiUuOwA+Mzy6vyA6nk5LvMd2sbvBu1w8w0qLPHjLJr1aRD69VV4VvCUHVT14ESS8coRXu+QVDzxsQh49zb2APR+tJjqIUk29u+2oPM3+Z7wZfsw7SncaPbm8bLy3ewU9buSrvC5MQrzintU89OIyPHk/rLyKImM8lU/bvNoT6zshCbe75lZ2PUnoa7t1hws9jmZ+PR3w77uFVC89/4OwO/C2jLwl71+8q0vZvD3T6DyZB/w8VYydvFUYGDw/qJQ8VV4VvakdUT0mqWK858p7PKA2Vr0FPwW9f1PdOuaJFL1zWQM9jfL4uqeTuDnF//e82kHzvCraHrzDeJM8ykZHu0G+J725HRO7HsUbPW22I71KvRe8AprDuyBnqTwZOM88StB2vABsuzul8aq8rTYYvM9HmbzDSos8I6vEPABsu7vVFU29pE+dPB5/Hj3cuKw8PV9jPYLd9bxpuAW9Qxq4vEEyrTvAAdq7SqJuPUsxHT3CL2I9rQgQvXSfgLxmzUY99YTAu333zLvts1g8CZZ/u2GGd7wbaYs87BFLPSranjvwcA89Ne+hu8R4E73s+dW8joGnuzi/N73lbms9iz2MvBL2FbySrU09o9sXOsS+kDovekq9f7SDPO2F0LoSPBM88LaMO+5V5rxwQDy8ijpYvFWkkr2C3XW9w9FvPJn0HL1Po8C88/onPJcMkj24NYg8TnW4PN5yLz1NRzA8mfQcPIOyIbpXACO9dc0IPRDgAr2cfrU8oPBYvQJUxrx898w8dm+Wu1NIAj37EY282J9lvKSoebpg/5I9Ezf9vPrjhDw5YcU72+gWvJ5OS71L65+8HK8IvCgFc7xqP2o9GvJRPT9ilzz8+Rc9Yfp8vcXsGLx1VG28rtXxu4UOMj3IdjG75KEJvclevLwagYC6A4JOvQRSZL1NAbO8jJZoOhcivDt0n4A7ovOMvazah7x1DvC8t9ThOz6N6zzF/3e836A3PejlpLzyEp28jX7zOy/AR71XWf87fg1gPbvtKDzphzI9kzlIvTQHlzwbTmK9Mxr2PElc8Ty2plk9EciNO1jQOD11hws8RLzFvBA5X7yn2TU9i8mGvHOE17wTN/08ZVlBPMS+kDvE0W+6gWnwukhhBz0l7188NY77PKnvSLtfRRC8uksbPIDHYr3Uuby9XrZhvfHkFLxfRZC8CfclvRvC57y5vGw7zf5nvFQwjbxXWX871aFHuzmnwjwBJr68mtwnvBFn5zytlAo9uur0vA6X0TxeFwg9+VRWvL9fzDwyvmW84M6/OwSwVr1FMEu8SzGdOw1pST0OC9e8VuV5u447qjuvZCC8/uGiPCcd6Dv/D6u6d+MbvVPqj7pmzUY7D8XZPB7FmzxUcXQ91RXNPBdoObxU6g89a7PvvPn2Y7y3BwA97kIHvOe3HDyAKAk9eYUpPEAveTvXK+C8S9D2vPsRDbwm79+8qmNOPB3w7zvQFPs8JtwAvW8SNLyiwG48hyRFPeG2yjznt5y7Uf/QvO0/0zy6BR68ovMMPddD1bvncR+97FdIvQU/hTwyvmW8ASY+PTNNlLz8mPG8dfsQvejlpDteKuc8hyTFu1e6Jbxeo4K83iwyPdwWH72BVpE8VV4VPRRSprzzQCW9gOILvfHkFD3Gjia8PQaHPK18lbwGJxC9tErJPBnyUbw9X2O9af6CvKALAj3ztCq7Fty+PHgRpDyKVYG8rZQKPHZvlju515U8pMOiOaYfs7xVcXQ8deBnPIP4njyv8Jq8r2QgPK1OjbyiZxI8ydJBvAKawzuEVC+8LkzCPO+IBL0Nl9E65C0EvNpB87wGJ5A8mQf8vDEfDDyyqDs9BT8FvJRn0LzYRgm98d9+PGxCHrzmiRS9yOq2PPVWOLvDBI47/JhxvIGEGbw5p8I7fmvSPFZZ/zrXK+C7+xGNvIZqwrsrqjQ7pastPI7HpDxNu7U74XBNu2GGd7zc0CG6msSyvFVelbxeKme8sxxBPBIkHj3D6eS8a7PvPMwuUjyKOti7hOApu0vrnzy/pUk9ECHqvHgRpLuvqh08fpnaPBAOiz1sQh687YVQPB3wbzznyvu858p7vOG2SrqOx6Q8jX5zPNuiGTwyvmW8+leKPHVBjrytfJW7J1AGvM7riLzO64g8zusIOg8L17sF+Qe7fIPHPBk4zztv+r48X0UQPXa1E70zkxG9I6tEvM0WXTyNZv48E7AYPKYfszuP9Sy9Hdh6vJ2sPbyxBi49uep0vEMCwzxR59s8B/TxukinBD1zylQ9auaNvFLn2zpDGji9eT8svLkdE7uFVK+8bLajvUgA4buNmRy9i4MJPCNlR7wexRu98t/+vDWO+zt3nR49EjyTuygFc7wDPNG8JwoJPN+gNz1eKme8HHxqvVMCBT0Gswo7BFLkvF9w5LoypnC60XUhPPWctTnW/de8aBHivBw27TwOC9e8CMmdu4hSTbibxDI6dWziPDDuT7wd2Ho83f4pPM0xBryQlzq91RXNPNC7nrxuni49NMGZO8pGRzwjq0Q8yOq2vP6bJb3k+uU8oR7hO5M5yLwIIvq7DGnJOpw4OL0QmoU79yZOulT9bjxntdG8BQznvA2vxjw3BTW8wQHaOHRZg7zFc/27SS7pOyaWgzxJ1Yy8/JjxvCcd6DtgLZu7dJ8APXmFKbsb9YW8hoK3vPHffjzthdA8Ke19O2paEzy6BZ68qyAFPTIya7uEVC88mwqwO8sAyrvGGqG7VwAjPQD4tbvqtbo7AyRcPBk4TzxBBKW8aVdfvBCaBbuCPpy8gMfiO3VUbby27Fa7txrfu+pvvTw4ebq7qpFWvASwVrxV/e69SgMVPR85obtY0Li8PhwaPNCg9TwEalm8FcYrO6YfM7xzWQO9SVxxPM8scDyLaOA72ofwO+mHMj35yFs8EvaVO/HffrwexRu9yozEPNoT67yhZN48dm+WvF6jgrxIuuO8826tvIb2vDmBhJm8/ID8PGFbI72RUb27nKy9PDbXLL2jNHS8BieQvHX7EL2gCwI7gRCUOxsjDj3GjiY9VDCNO3RZg7wEalk8jX7zuYyZnDzx5JQ8aG/UvI3E8DzgQkU826KZvM6KYjyMlug8icZSPfNurbyirY88wmKAPJHdt7zonye8jZkcvepvvbwVgK68gOKLvCmsljz8bZ26+2ppvJtQrTzadBG9rU4NvdwpfjwK37C83qC3Ogau9LvY5eI8b4a5OoCBZb3I6ra8xHgTO+Vu6zxW5Xm880Alva+qnTwsZDe8SEmSPX0lVbwhwzm8ICGsPHcpmTtNRzA9QEqiOwA+szxsQp48gG4GvUWk0Lu+68a8jZkcvbrq9DxCMq28MWWJvG38IDtzytQ8EFSIPDIfDD38+Rc84szdu8gwNLsd2Po8opWavKsFXLxwQDy85C2Eu/z5lzkLDTm8tJDGPN5yLzsR22y8jsekPBJPcj2M9447SEZevH+0A71NATM8rQgQOyzwsTyWZe66vb0+uz2N6zt1zYi8o9uXPKsFXDrx3/678LYMPAprq7tw+r47fbHPvD+7czt1hwu9lbCBvPFYGr2OU5+7AGy7OhAharxIG4o8scAwPRHIDT19Pco7dSblvNnlYjtWRiC52QAMvcWmmzyZ9Bw9YLmVOmD/kjwO3c67SEmSvOdxnzyCUfu8R4zbvBUMKbwyMmu80LuePNvoljy8jzY8jPcOvbfBAr3WFc27RerNvAKaw7wF+Yc721ycvPVWuLtKom4880AlPekTLb3d/ik9eMumPP5VqLwMO8G67PnVPCPZzDw6G0g8q0tZPO4n3ro0NZ+3aoVnPUtfJbzb6Ba8UblTu14XiDzd5jQ8Ag5JPR1RljzOimI82roOPUrQdry9Sbk8JJNPO1NbYbzzbq08d+ObPP2zGr1VcXQ8QNYcu6jvyLxnb1Q8NwW1PEeM27xIRt673NAhvMOQCL2hHmG8PjSPvBCahbxj/bA8aEQAPDE3gT08MVu8sJIoPWdBTL0nUAY7uI7kPJbeCb1dXYU75v2ZPM29gDtXuqU8GzuDOxIkHjz5yNs7vUm5vJWwAb3gQsU7dBMGvcG7XDwFJ5A7VV6VO0EEpTv6nQc8X9EKPFKhXjzR6SY9mJN2vLrq9DwW9DO9uALqPHZvljo3BbU7oKrbu2NDrrtnb1S8t2BcPYvcZT2lNyg8l5iMOs9fDjwt2Ly7i4OJuxxRlrurBdw7Z7XRO3OEVzwKJS68q79euj1fY7xg/xI7se44Od24LLxiz6i7lt6JvKLA7joH4ZI7GfJRvMYaoTzmcR88+xGNPA2vRr3qtbq8PJKBuirt/TzTi7Q8aoXnOvdsyzo8pWC7fbHPPHfjmzz2+MW8POtdvc6lC71kKzk7iJjKui0eujyOUx+9cEC8vHonN7unTbu7HfDvu5iT9rtmh8m8kq3Nu5w4uDyHJMW8e8lEPHaa6ry5kRi9R+0BvAUnkDtaRL46DsVZu3+0A71u5Cs7w6NnvDsxWz1CGrg30AGcuypOpDzF7Bg9P7tzvHpttDscURY8HguZvIxQa7yoB748gPVqvFW38TypHVE8zC5SPOjNL7rEvpC7l5gMPQk9o7wxN4G8UzANPFguqzxpuAU8Uf9QvaKtjzuC3fW8rkn3PHQ+Wjyvkig8A4LOOxuU37wpZhk8VM9mvDBi1bwyHww7qgXcvI1+8zx7Vb888mv5uE/RyD2rS1k8+1cKvBAOCz0/L/k8lZXYumD/Ejusv9478CoSuwuZM71ESMC8EjyTu9CgdbyWagS6bHCmPK1OjbzcFp+97lVmvI0lFzuSrU282QCMugmWf7yjNHQ8RLxFvQebFby6Mya8UblTO1ssSb2RUT08c1kDPRGt5DwIyZ27wUdXPL9fzDw6j8274fzHO0gA4bvVFU26drUTvTwxW7yLg4k7SY8PPLyPtjtC1Dq8/uEiPa/wGjxL65877s4BPbSQxruLaGC7SI+Puk1HsLrlFY+6AzzRu1VeFTwAsri8KH4OPOShCT07vdU8C1O2PCAhrDkbwue8/IUSvak1xjwNaUk9NAeXO88ZEbu3SGe7oX8Huz1fY7yJxlK7MfEDPRvaXDsD9tO7dm8WOx3YerzPR5m7XqOCPBv1Bb1mzUY92NIDvE/RyLwyHwy9r/CavBuBgDm77Si9nZTIO2n+gjyseeE8qanLO1jorbzauo68lt4JPY1+czvlFY88kznIOih+jju4MPK7yDC0u4FWEb1EAkM8+5hxu5fxaDzzQKU73nKvPPyYcTwcI446eMsmu/1tnbyYxhS8G2mLvDtJ0Llb5su8SKcEPEinBDxF6s28P7tzPLwbMT1xKEe88LYMvYaCtzyZrh+85RUPvSzwsbrI6ra8dJ8AvBtpizzx9/M8VDCNvDBiVTz7EY07Qxq4POW06DxNAbO7+xGNOpzyOrwfZyk8wwSOPEXqzbvOiuK70LuevE1HsLzv/Ik8RerNO38N4LvP0xO8eFehus7rCL1/U925XKDOPPBwD7smloM88RIdPKsFXDwq7f28oUxpvN+gt7xlzca8f/oAPCrtfbwRrWS7ayd1vKA2Vrw8Gea8eie3OwU/hT0Tw3e8zusIve+IhDuj25c8aloTvNjSg7xvhrk7UnPWOysIJ7ys2gc8vndBPLp5IzzK0sG7HVGWPEqi7ryODSK8B650vHiwfbyowcC7jWb+O3ZvFjzC1gW7HsUbvKHY47x5Pyw6IU80PapLWTkVOjE8EA4LOswu0jpvzDa7g1F7vRw27byNmRw9WRY2vMhePL1+mdq8opLmvDnVyrz3bEs7PwHxvHcpmbzm4vC8H/Oju0MCw7zx93O8GcTJPNZD1Tm56nQ8rtXxOzgzPb0RreQ7sQauOhdouTyzYr68mwqwvBhQxLxJXPE72roOvEBKIjx345u7mQf8u/yFkjzhntU77/wJPRwjDjneWjq8Z/vOO4aCtzupqcu6sUyrPPHklDwXCke9sqi7vIoi47sSghC7Kk4kPTsx2zxUdoo5mtynPDjtv7xVjJ07AprDu7hjkLwq7X28+lcKPa9koDzjc4G8z18OPHMQUrzCYoC9wNPRvLunq7zbiiQ8FcarOxnEyTwzTRS6sMCwPBDgAr2BnA694IjCO6tL2byTOUi81S3CvD1MhL3vQoe8GApHvDcFNT3bXJy8HsUbPFVelbwo8pO8ubzsPJJ/xTwJsSi8INuuvIDii7xsm3o853GfPLHuODuXOho5bfygPM0WXT3644Q7Mh8MPXOEVzyDbCS8glH7u9NFNzzDSou85nEfPEWkUDzrncU8/w+rvJ8ITjyilZq8GiBavAjJnbs+NI+76ynAPBKCkDzcuKw8ZhPEvK7Ckjw/Ype8w+nkvF0XCLwHyZ06SdWMOx7FmzwbCOW7zyxwO8Wmmzz/gzC8EJoFPbvS/7uilZo8bfwgPe2z2LuD+B48w4tyO78xRL0dZHU8kGkyvH+0Az2XH3G82XQRPCFPtLzZWei78Wt5uwolLrw/qBQ8dBOGPEpEfDusZgI9xo6mvA6X0TuEmiw7FcarO89HGT0Vxqu8R7pjvDK+5byxBq67l1KPPAfhkrx1QQ67K3ysO8R4E70HVZi8WFwzPI4NIr0XUES8tjLUvBRSJryfqlu8O0lQPMzQX70mloO8ZhNEu238oDxsQh68bJv6Oj9ilzyAEJS6Bd7evHQThjuw2CW9jlOfO7cHgLz/g7C8bIibu6yn6Tq2MtS6whwDvVWMHbyE4Kk8AyRcvPr2Yz28YS682roOvb4DPDw0jvs6OyotPXJLnTxRsNO8mfq/PFaKsrl3lxQ8Ko8YvHK9tTz/2BS8hHQZvSodgD0SnIK95x4LOyw1FDyDAoE9Zwn4O8ib1Tzc+DQ9UT67vKneJT2AUek8dfEYPLi2gbxGin28y0HRunoFcjwoSoK8oqNhvOvtzTz8pDG9ByFRPAZqIryZbFi8e4ImPLtdazzAN8o855AjvTpXr7zTwas8hDx7vO09gDzIDAC9Z0GWuV3/cL07nEW8dsQWvCc/Zj3V9Y68UoNRvJpbJTo+JnK8JqSGPDNUiTuNAWw9U+Q2vGtZKr2g/WW9VooyPZGyAz1widK8bXG+PBhKzTs3P5u8V0HhvEK7urzxflu891i6vO0FYj1LgCu8Vbe0vN1Zmj2QwzY9HrITvTSZHzsOsl69nQGhu3MeG7vxKBI9UoPRu/kahTsinaU8jQHsvElMyLx9x7w78FWUO6qVVLzBCki9sFPkPEMcILyaP1a8wXzgvER9Bb02bB27LItdvAevOD0aORq9GjmavJy8Cj1/+x+9vTsFvL6Amz0f21o8Bk5TPGOszbzBfGA9zXU0PSS1uTxe0QC8AAJcvZQ8sDvlvaW9V0HhPMng67vdIfw8mfo/PJ5ihj3d54G8inc/PejVubsu0HO8z7pKvDbeNb3VZ6c8uaY8vMdyjrygp5y8X0+jPE58cDwIZmc8mj/Wu/SW7zvtk8m8a4JxvFHMIr2gpxw8UVoKPQF/kDsohHy8qJkPvfzAgD3rX2a7btKjvabGEb24toG9vEy4PKAZtTwzVAk9dX8AvAj0zryI7RK9ZfFjPEqtLbx9OVW8/IhiPBbAIDyZ+j+9NyNMO57UHj1mUkm9CBCePOW9pbyNj1O9mj/WvEamzDskJ9K7JLW5PER9hTwDGnC9xzrwvB6WxLzdPUu8LDWUPF/dijxruo+8RH0FvbToLLwTGiW8jC2AvalsjTtXXbC7kveZu+HSEz1GNLQ8Vm5jvZWdFTzcFIQ7ZuCwvAo5ZbxeCo27R5WZPMtBUT1jOrU6qWyNu24obTyeYgY8MxxrvJhDET21uyo9KgExPI0dOz2/SP08Qrs6PRLVjj0vMdk7cx6bPLhhpju40z688SgSPTgSGbyG/sW9DG1IPWmGLL2kBEe8HgjdO+hjobxV04O8A1IOPWdBFjys2uq8y8+4PYb+RT2IXys9ilqCPPX3VDwI9M47rVefPF58JT3FZ3K74OPGOgX4CbxHIwE9pHbfu8kYir3C+RS9N80CO564zzwKx8y73ywYvELXCb0I2P88hQ95u9uXTz2lu3W8Ko+YPIqTjrxuYAs7aywovfyksb0IEJ68nXM5PFb8Sj1aA6y8sIsCPUvWdLxzkDO9bY0NPEbCm7vYm4q8eO1dPUAEDDwEJYw86cQGPGrnEb0bDBg9jasiPORAcbzbs548doz4u9ngID2xXgA9Sw6Tu2n4RDyhXks96RpQPaXzE70YvGW9Y5D+O6F6Gj0+0Kg85HgPPMF8YDiyo5Y8jgyIPbBvM7vQcfm8Ow5eu1b8yrv0lQG7v2RMPd8QSTv4Kzi9rGjSu158pbxjyBw7Yx7mPLD9Gr0u7EK8yAwAvaVlrLzP1pk8Xf9wPXY2Lz2EyuI8ceq3Pbjvjbzoueo8GNi0u1ZuY703I0y8NH1Qut+eMD3o1Tk9beNWvZKFgTyJFlo6L7/AvElMSD3PZAE8d3vFvO2TSb3EPiu9gqEbPXqTWTsPhdw8y0FRvE3FQTxu0iO8kMM2vRZOiDvAxTE8qrEjvaA1BLwG3Dq8ddXJu5qxbrx3e0W8dX8APWWbmjx3CS09hnDevEeVGTzN50y91AbCO8gMgLvdyzI6wvmUPCtilj0cUa67Re+dOxKdcD3VS9i8H/epPNX1Drx1YzG7tHaUvH4oIjzjiUK8A6jXPGJnNz3saoI9M6rSvP0FF7wC1dk8N7GzPGdBFr1VKc07T/kkPCP+irmuuAQ9yAyAPOFELD3oYyE9MHWBPG2NDb1+mrq8pqpCPBt+ML33WDo9AvEoOrL537xxeB89bijtu3ky9Drs3Bq8exCOPKCnnLq9rZ08+9EzvH+JhzxVKU08fVUkvGezrr0WwCC9frYJPU57gjyVDy67iTKpPANSjj1xeJ87QkkivOGa9TyChcw8z7pKvK7y/rxzrIK8zL4FPehjoTuCoRu7Pl4QvKqV1LyofUA8NAs4u4jRQz29O4W8ctmEOtMzxDlJaJc9lWX3PDQLOLxWpoE8ZfHjvBqPY70TjL27yJtVveP72rul10Q9NjT/PMfkJjx6k9k8feOLvaz2ObweCN08hhqVvKkzATzLQVE7wFMZvcuz6bzlL748CyiyvN/0eb22clm9tZ/bvEaKfbzLs2k8bxc6vdyGnLzzbag8btIjvBJHJzyI7ZI8zBRPvKqV1LqEWEo7qcLWPBZOiL3TF3W8afhEPXeXFD2yoxY8E6iMvXF4HzyGcN68U1bPPJJpMj2cvAo9zDAePcQi3DwXBbc8WnVEvVqRkzuxtEk66RpQvSPGbL22ctk8JvpPvE57AjwArBK9xD6rO/dYOj3Ny/07I3CjPN09y7y4RVe9MkltvHcJrb1t/6W9YkvovPtDTLsrYhY8rGhSvZWdlbwfhRE9ZWP8uwc9oLw0Czi8J+mcPGOQfj1Dcmm83IacPHKhZjzfnjA9bVXvvNibCj0gPMA8Yx5mvPEoEr0Lmsq8vXX/vG2NDb1jrM28FHuKvPu1ZDwiD767dwmtvHCJUrztIbG8eWqSPFp1xDzkzli8kQjNvA5cFbx7EI470I3IPKh9QDzHyFc9M8YhPC56KjxmxOE8LBnFOwX4CbsinSU974KWuyNwo7s+0Cg9AzY/PCZs6Dy8vlC7RyOBvJZURD1RImy8+EeHPP0FFzwHPSA7VdMDvSfNzbu9O4W7wFOZPfyksbooSoK8lfPevKnC1jw6yUc83E7+PA5clbwAdPS8gqGbvOTqJz0aqzI3LKcsPbKHR7vFn5C874KWvOfmbDz4uR88hFhKvNVLWDzR0t68LKcsPfX31LyQwza8L00oPaEIArwKq/28rpy1vGMeZjytyTe8sZj6PEofRrv8+nq8WyzzuyIrDb2KW3C906XcvJL3GT0oEmS7GErNPEloFz1FRee8oDWEPF3+gjwqc0m8qd4lvIW5L7yshCE9P6OmPG/76jxu0iO9AxmCPCNU1DyWcJO62A2jOjLX1LuugGa88ZoqPS+jcbx1fwC8oQiCOxvwyLy35PG79zxrOVItiDzIDW4763u1vBRfu7xrLKi7ojFJPbFCsbw5aGI8cwJMPH+JB71jVgS9eTL0O909yzwC8ai6bzOJPCtilrtqy8K8XzPUvNlSOTw9b0M8X6Xsu12ppzt714E8FqRRvDu4FL1TVs88FyEGOx4kLLwU7aI77GqCPF/BOz3xmqq8riodPVmiRruRsoO7MARXvBhKzTvBmK885EDxvPBVFL0+tFm7GNi0OyrlYT1uKG28FENsPBBYWjwF+Am9wSaXvMGYL71VDf678/uPvP+8RTw2bJ28tgBBvKz2uTzAG3u8Vm5juz1TdLzo8Yg8Yx7mu8F8YLxtcb46wDdKPTOq0rxABAy8zKI2PZnecLypM4G7+nBOvEAEDD3Ny/07P/lvvJUPrjtqPVs8Up+gvDAgprxu0iM9kveZOwhm5zyS95k8mRaPvOMXqjyYJ0I9Xf/wvGOszTxvM4m8GquyvLi377rL6we95aFWvVkwrrwsp6y8kbIDvUcjgbheYFa9HFGuu/pwzrtRWoo9Bk5TvO0FYrxGpsy78ZqqO3d7RT3g/5U5zBRPvW1UgTtutlS6cqHmvK6ctTxiS2i8ci/OOokyqTw/oya9zcv9vHnA2zxwidK8/DKZu40dOzyyh0c7+LkfPZHsfTpHlZk8cc7oPMtdoLyivzC9Erk/O8ib1bwYvOU82H+7uaQExzt+mro7ohV6vBi85by5GNU8kr/7u4HOnTvcak27CyiyPJWdFb26eTo9ClW0OT8xjjxuYAs8/Pp6vHIvTjqYQxG9vg6DvO09AL2STWM8xjmCu6QgFjxlm5q8PxW/vJSSeTzAN8q8kmmyOxak0TuKd7+7cr01PLYAwbzx8HM7Ip0lvBYW6jy4tgE9Xf/wPIKFTLyUIOE8XY1YusfI17x05vy8x8jXPGY2+joDUg68TnuCu8c68DxrnsC8yAwAvGV/y7xx6je8FEPsuxZOCL0F+Am9I+I7u262VDvrCZ28TcXBOhZOCL1GNLS9dWMxuZndgjpLDhO8dfEYPPWFvDupwla6L02oO5gnQr1HB7K8b/vqO3vXAT0T/lW7e9cBvDLzozxRzCI9bePWPH051Tv+6ce7oDUEvEcjgbyUypc84dITvfwWyjxPhww8gmn9vAMZArtjkP6874IWPfvtgr1LDpM7svnfPEtkXLz7tWS86NW5PPhHh7umOKq7z2SBPOOlETw7uBS7E4y9vJne8DswICa8uTQkPEZQAzzrezU8Olcvvf0FlzwHPaA7T/kkvNNPEz1yvTU83yyYPBeTnrwQApG8zyxjuyNUVLxrENk6nXO5vApxgzti9Z680HH5vCAg8btd/3A8kQhNvEYY5buCoZu8nC4jvUJJIjy0dhS8LItdPKh9wDo2bB09LggSvBchBr1jyBy8DrJevMEKSDtiZze89M4NvfEMQ7zJGAq9mrHuPHHqt7v7tWQ7YktovIL35Lvwxyw88McsPIR0mTy+gJs8Jz/muw8vEztuRLy80XwVvPWFPDxeYNa50dJevCP+CrxRWgo9nVdqPFVFHD2O8Lg7GNg0PMHueLzjF6o8Ui0IPLqVCb2tO9A7+YwdvEXTzrz7tWS7B8sHPBIr2Dv/vMW8AxrwPIb+RTzzw/G8AX8QPNNPk7xRPrs6CjnlPAsM4zxvpaG7J1s1PAyJFzyAUWm8lMoXPI05Cj3kQPE8T4cMPZDfhTx/iQe8f/sfPQiehTxSLQi9AHR0vO/0Lr0zqtI83BSEOL6AG70aHcs7KBLkPCfNzTwnW7W87T0AvZWdFTo172i8vg6DvNh/uzuwbzM9kMO2upXzXjz3dIk8DPuvvDLzIzyFK0i85b2lvPGaKrsTGqW8Ig++PIxmDD3wxyy8sG8zvTOq0jzQ/+C8Ow5evB6WRL3rl4Q7KnNJvNAbsLt3Ca08A8QmPfEoErx2jHg7UVqKPKgLKL0vo3G8wXxgPMSUdDzPnvs8Y5D+PHMeG7wEl6S8cwLMPNAbMDiZ3vA7sV4AvaneJT1JTMi7JLU5PRrHAT2/8rM8H9vaPAgQHjyNq6K6hnBevEXTTjsP9/S706XcO3lqkrw3Pxs8JvrPPKY4qrwOQMa8lnATPXMeG7zV9Y67+uLmPLGYerzxmqq8PeFbvdFgRr3MorY8yLekPHIvTj2d5dG7W9YpPTNUibzR0t68gUA2Pf+8xbzpxIY77MBLPS9NKLq8vlC8riodOs+eezwS1Q49H9vavHky9Lvxmqo80KkXvO9K+LtmKQI8DImXPIGW/7mlZaw8I8Zsu9D/4Lr8+vo8AkdyvOd01DzsTjO9DxPEPAsosjx5MvQ8ljj1u6qxIzvXrD27TcVBPVUpTT3L6wc8cwJMuzyLErzwOcW81x5WO1tIQrxdNw88zyzjPKCnnDwb8Ei8CBAeu7KjFrx94wu9rriEvHsQjjtOmD88yA1uvAu2GTylSV28jasivLqVCTwb1Pk8ZuCwPEXvnbyqsSO79ECmOwjY/zrpNh88RlCDumWbmjuRsgM9KBLkPDJJ7bs17+i7P6MmvQfLB73kzli8HrKTu9PBKz1SLYi81UvYvPpwzjt3l5S7ej2QvOVLjTwzxqE7RsIbPBvwyDx6IUG893QJPet7NTxeYFa9nQGhu+T7WryeKmg7jgyIvDLzo7yQw7Y7FO2iPN2v4zwAAlw8RhhlPPRAJrs0Jwc9ZfHjO0Fa1TucElQ7zXU0PN2vY7z5/jU9qWwNPD5eEDyKW/A8yAyAPJy8CjxxBgc8UVoKPTsqrbz7teS8we74vLUtwzzYDSM8cVxQvUZQAz3NkQO9Z5ffO9lSubqiMcm6G49jPGo9W7s2wua7DxNEvFL16bxHBzI8sG+zvDJJbTvXjwC7lnCTvAZO0z0Ue4q7uGGmu/c86zw7Dt48z9aZvMNrLbyshKE5L00oPZKFAbzYf7u8jEq9PCPiOzqQNc88thyQPGGUubjItyS98/sPu2VjfDyQ3wU8BO3tuffmIbxVKU07GjkavaW79bsHPaC7CNh/vOuXBL3bQYa7UhE5PaxoUj1HB7I8+uLmu52PiLxvpaG8XamnOnXVyTqqPws7RUXnvHlqkrzC+RS8HMNGPElMyDuRsoM8+EeHPD5eED1Cu7q6ClW0PGL1HjvPSDI6jTkKO8A3yryomQ+6HMPGutuznrzN50y8bXG+PF3+Aj38+vq64bZEPb2RTjuuKp28shUvvKnepTyZ3YI8IiuNu1kwrrwEe1W7wBv7vLFCMbtuYIs7sdCYPORAcTzTF/U8Qeg8vJpbJbxSLYi8R+tivGo9W7w7uJQ7yEWMPOBxrrwgPMC8vL5Qu7L5X7wbDJi8UcwiPCakhjoy86M7PVP0OaXXRLzIDW68RjQ0PPWhizznArw8UoNRPOt7tbt3e0W6W9apu7FCMb3jpRE8rpw1O/dYujxvM4k8vTuFPIxmDLu8TDg6z7pKPH3jC72ZFo+2+0NMvNesPbzv9C68tUkSOvn+NbxP+SS7exAOO6Bv/jpFYbY8BfgJvUuAqzp8Ztc8oeyyugLVWTsueiq8lCDhOlXTAzySTWM91Wcnu14KjTqSaTI7Ep3wu7DhyzwWwKA6+RqFvE9OAL0b8Eg8cVxQPLp5urmItXQ7P/iBO7UtQ7ySTWM7gVyFOhxRLjvtPYA8GGYcvJgnwrzzbai66wmdPPSVATy4t288ExolPMgNbrygGTW9hDz7vEAEDLwTcG47DN/gPDc/G73EPqu8kmmyvBB0Kb22AMG71b1wvGclRz364ma8Re8dvRzDxjyE5jE8W7ravC+/QL3H5Ka8or+wPDcH/btWGBo96YzoOnv0vjsWwKA7GNi0u/fmobuCoZu8fcc8vGtZKjwQynK8UhE5PJ5GtzyIQ9w6Y6zNuyhKAr1KOxW5ZuCwPPdYOrwnWzW8astCO/+8xTvg/5U8oQiCvfQkV72coDs9MmW8u2KDBr1WbuO8jR27OweT6bwOJHe7mWxYvMgNbjxJaBe9DiT3O2JnNzzLQdG7dWOxPAX4CbwPLxM98FWUPEcHMr2Chcw87KT8O/ZpbTxCSaI7vTuFvP+8xbwKVTS8yEWMu6IxyboeenU8nipou9xqzbtrWaq85FxAPbhhprx6k9m8lMoXPcib1bvLz7g8VUUcOqh9wDw6O+C8gvfkvMc68DzJ4Gu7lsbcPBOMvTxVtzS8YbAIPEo7FbvnkKO8V12wPLD9GrzYDSO5GseBPAB09DuaP9a7CyiyPPc8a7yKkw69Ig8+vMVn8rt05vw7qgftvBrHAT1eCg08CjllPCBYD7xfT6O79mltuzJlvLwmbOi78X5bvNluiL0ooMu8uRjVuwCskjvDT968DlyVPFXTA7wG3Dq9fNjvPK1XHzwk0Yi8TnzwO1/dCr0y86M8F3dPPV7uPTws/fU8Ds6tPFKfID0U0dM8a57APFIROTwECT28XamnPCZs6DwWMrm7E/5VvIUryLsqc8m6tOisvF7SbjwoSgK85HgPvGL1Hrzcas28vZFOPPhHhzyK6Vc8xfVZuu+CFryNHTu7Up+gvNluiLzBJhc9x3IOPIwubrzoY6G8qJmPO1ddMDzZ4CC9kr97PFkwrrwiD7486+1NOezcGr0eCF07exAOvRd3z7wXBTe8GEpNvPAddrx6PRA7R5UZPXYa4LtjOrW7inc/PGF46rwc3xU8U+Q2PCDKJztheOo8SjsVvS5e2zsjxmy7favtPP+8xTzQqZe8oDWEPCu437yO1Gm8e/S+u+13erwgWI882A0jPElMyLzUBkK8K7jfPLDF/LwinaW7dfEYvG3jVrz0sj681AbCPFu62ryeRre8pbt1vFfrFzxLgCu8sqMWvIHOHbw4hLG7zKK2vL4OgzxF7528koWBux569bgsGUW8ojHJuxcFt7yGcF48/QUXvA5clTqEPHs8kSScvIjRQz00J4c8T2u9vKK/MLtH62K8xIkePJdauTzzmRm95k9uPHr01LtVhOw72NF0vCDRrzxo/7Y8bJIWvaLTMD3aQOi86ky/vA3cET2fp5M9Mr4cvDbDHj2JQwI918lDvENggjwXOU68g9c9PC5+dbz7aHg7CyrIvJSgvjwLKsg852upO8KwOT33NKq875SXvD03lLyktEY7RowfvMDPozxUfLu89zQqvcLzD70Abnq8qcH5vDj3bDzfRWq9qLnIui25GjwW5pW8bd2dvIEl9Dz5PFu9qtUDPZE5/DyVeaO8Pj9FPUvcqLuY6JY930VqvVBvCL1E/kG9mPDHPNjR9DueXAy8cwYMPZA5fDwlITm9OsigvMvCbjosKz28t3qYu5itcT3AzyO9iXLOu5F0IT2Lljo9WDY2varVAz24xR+9g4SFOyAUBj0o2zM81SsEvG973bzkI1E89C8ovfto+LwWYGk8Y/q0vJgznry7rma9B7MjPKbYsjwx7Wi7H4aoPM0pMTzrVPC71FpQvfujnTwJjIi81xTLu11fJD2+qze8On0ZunMGjD0g0a87vqu3OzV4F7y1Xl09iwjdPNWlVzt5sX68QkTHvHM12LsFTOG9cZeYumqxAL0ye8Y8VHSKvDikND0ZZeu7pytrPb85FTvQTZ08NFzcPJgznrxwTJE7jpMLPLfsurzsswG9Z7QvPU6WIzyPo228IaqUu+5JED21CyW740rsvKnB+bwJjAi9VcdCPTsbWTjAQcY8k1W3vJ9kPT3jSuy8w7hqvWv8h7wYXbq82fVgu9UrhD1P4ao8iS94vAttHr3ObAe8Ac2LPHcLDjyBJXS1JBkIPP7Pujxj+rS8mdFdvIBgmTwdWou9fFuXO7t/GrwsIwy939NHPQYdlTzY7a+5PKk2PSL1m7pZxJO8Y6+tvJk7T7yTmI28HaWSvEtqBj2aDIO8ry0+vdpAaDxwn8k8MTA/vXMGDDxp4Ew78sjlPBs2HzwF0o08PKm2vNbBEjy+7o08rUwovMGwOTyl/807RpRQPCEcNz1NABU7bqJ4uwt1T7ySTQa8PKGFO7N1Fj1olUU9KrSYO6NhDrw0nzI94f9kPftoeDymjSu6POwMPFg2tjzoIKI82kBoPchLSrucsnO9H0NSPejlfL3TBxg8zgrHuY0sybxJdea8b3vdPFvwsDw8NxS9QoedPdqDPjvWdgs9KNMCPNp7DbwbPlA8HMwtvBuBJj3Nm9O8phuJPLUT1jyNd1A9DU40vbGUgL1l0xm9pLTGO41vnzomdHG7fvElu8dDmbx6eoE8x/iRvPNe9Dx5G3C8UymDPO9Z8rxNeug8pUKkvHWcmr1o/7a8MN0GPWjYmz2Fbcy5PKm2PbM6cbuElOe85+V8PAttHjuY8Me8WIE9PSL1G72fZL08hSp2PMnhWDrseFw8lKA+PSCOWb0MRgM855LEvCpxQj1UOWU808RBu5k7T7wO7PM80ryQPUff17xNvb68TySBO6Mm6Twt6Ga8gB3DOoY+gDz89tU82BRLPU7hKrxlmHS9KXnzPA0nGb1n9wU9tRPWPI5IBDwcWgu8FA0xvMhLyjtUhGy8loHUO9Ius7vuUUG8ZZj0uizgtbuosRc8cBFsPZSgvjwgjtk8HxSGPZXEKrysMG094v/kPDikNL2Aj2U8e4pjvCOT2zwQvac8HvjKuwLVvDx+8SU8x7W7vNPEQT1DYII7FA2xvJuikb2sc8O8kr+oOzxeL73+GkI8OxMovEUG8zyd9cm7gv7YvLkQJzw8oYU8Z3HZu5OYDb2vLT47OsggO2JkJrqQ3pI8loHUO/OZmTxOU808OfdsvYtT5DzXycO86gE4uyZ0cbvUUh+8Im9vu2P6NDyqaxK9b3vdPMP7wDxE/sG8kTn8PDrIoLyRfNK861TwvCjTgrthi0E8jw1fPZYHgT3kI1E9LOA1vT6KzLxl0xk9VQqZPPUIjTtskhY84aysPNZ2izt6sf482e2vPKW8dzzEiZ484aysvCKyRb1q4My8/tfruvtoeL2bVwo9zmyHu7nN0LzF3FY94TqKPMXUJTw8NxS91SuEPHbv0jss2IQ8WhfMObXITrzs/og8AdW8u0IBcb3DPpe91nYLPeMbIL0qcUK8m6KRPLlbrj1uAQq8fvnWO3hWFT2pwXk830Xqu/oVwLwuBCK9up4EPfAqJrzKb7a70nk6vVvwML0Hs6M8g88MPKLTMD1Eqwm9Ad3tO93yMTz1N1k9pKwVvG7lTjtSWE+6wIzNvAhBgb24xR+8hbCivGWQQ7zQmKQ8bE9APc0pMTxj+jQ9xnJlvQBu+js5MhK9HNRevFOj1jwX9vc7zJOivKGIKb1jbFc8hSp2vbrpC70pJru8HNTeu9RSn7xL3Kg8v7NovTKDd7w7E6i84TqKvDw3FD3UWlC7FjEdPQ3cEb1S5qy8khJhOx8Uhr0jSFQ8/tfrPPdbxTwbgSY9vMqhvcXcVjzRXX+9kCkaPexwKz0zxk09DdyROw8vSj3sJSQ8lg8yvf6MZLxrdts87P6IvAD8V70FTOE7Jd5iPDrIoDvsJSS7LgQivAkGXD2Fbcw6OTISPWzB4ruAYBm9AD8uPK7ahb18W5e9GvNIvRiE1byweMU781bDvNEmArwm+h08TulbvNzWdrzL/RM8bxFsvFR8Oz0VWDi9XDs4vPjx0zt7iuM8ySSvvEDxDj1wTJE8wEn3ufg0KrpApgc8KePkO8BJd72j2+E6c8O1vM63Dj1kPQu928aUPNYMGjzteFy728aUPK8ljTz36aK87CUkvanBebxJdWY7ALHQPFmJ7jzOMWI98bgDPTxerzxDHSw9j6NtvGiNFLwjk1s8aEq+vNqDvjzOdDg9CYwIOzTiCDwMRoO8tV7dvKkEUDq7h0u8mobWPNY75jpYNjY9sQ7UvCEcNzuWDzI6djIpPQREMDwjk9u68XUtvaT3HD3HAEM7TpYjPeAeT7yfr0S9lgeBvJCj7TxdJH+8sMNMPV/1Mrzoa6m8ryUNvebVmroLKsg8sFEqvFagp7yd9cm8moZWPVcuhby/s+i5oYgpPWxPwLxA8Q69Ep49vQclRj1fZ9W8gSX0PD7NIjv60um84+B6PDFzlbwNVmW9D3KgvD30PT3c1na7OTISPZedDzw87Ay7SuRZvEX+QTwDrqE7biglu7lbLryDjLY8tRPWPGWQQzxo2Bu9EAivO5/ymrsoJru6BEQwu3mpzTkgjlm8CP6qPH48Lbuuly87oUVTPGUm0rxJuLw87P4IvcsFRTzHS8o8ohaHvMqyDL0N3BG8OsigPBFb57yqIAu9caf6PCzYBL27h0s8dzpavBqoQTsp4+Q7hbCiPHHiH7w8qba82e0vvOviTbxZD5u8BYeGPPdbRTyfGbY8m1+7vO7D47tjr627uc3QvPLI5bxqbqq7EulEPAA/Lj1dXyS9JnTxPM2bU7xjr628956bvKixFz03nAM98cA0va7ahbyMNHo8u67mPCyVLj08oQW8tBPWOuMbIDuQKRq9RKuJvKVCJDvvlJe7zN4pPEH5PzyU68W8lxfjPL6jhrymK2u8sZyxvLXIzrwTNMy6/c86OjyptjtWGns7y0ibPFC6jzv5wgc9C+fxPDmFyrzqRA69Vy6FvH5E3jwhXw09lg8yO28RbDwjiyq9hvupuy5+dbwAggQ9Z3HZOjEoDj17xYg4oybpvJTrxTw5MhI9lOOUvChN1jvOtw69syqPvBBLBTvzmZm875SXvd6IwLq7NBO9W6Wpu1szB7wx7ei8lC6cvL7ujbthGR89GusXu+vqfrohZ768VDE0POX0BD31vQW8APxXvVIpAz0AgoS8uD9zvIw0ejy2Xl05HVoLPaFFUzyuVNm86gG4vF3RRj307NG8MFfaOxEQ4Lvc1vY34ToKPaCIKbySCjA8grNRPEZJSbwNTjS9A2vLufQvqLtsR488bd2dPMyTIjtUhGw8NoDIu1w7OL24xZ88qt20u1nMRLvjjcK74WnWO5ZSiLzASfc7cw49vN1kVDyWxKq8p2YQvHvFiDzi2Mm8aEINvKpP17vAGqs7XSR/vFszB7we8Jm8tchOvNvGlLvf08e849CYvE1LnLnReTo85CNRu7XQ/zuJJ0c8Nw6mOz/V0zzSvBC8n/IaPUpOy7w1p+M7h4mHOwnXj7wdF7W8dwsOPQ9yoLvsswG8mxQ0u2sM6jwhHLe892N2u1JYT7zA11S9HRc1PCZ08bueEYW7HNTePClpET2pRya7sMv9uw7s87z1xba9W6UpPR4A/Lz2ED682nuNPOHvgjwRU7a8zmyHPJTrRbxChx28a7kxO/urTj0S4ZM8ox64u/6M5Dxj8oM8RklJPEqRIb2k95y8bZpHPFB/6rxsR488+liWvL9Jd7tPNOO8R2WEvCGqFDyLjom82TAGPFQ5Zb37aHg7fn8DPbkQJ70kGQi840psO3HiH71+fwO8YRkfPGNsVzy1E9Y8QgFxvL85FbzJ2ac8aEo+PFulqbwLKsg86fkGvVYSyrsvV1q8rQnSvOhrKT3/Zck8G4GmPBrrl7yynLE7du/SPN3qAL0ZZes7BPkovMLzj7xhk3K8g4QFPBYxnbvhQrs7FzlOvBxaC7xve928fvEluhKevTtjt968g4QFvPZTlDoO7PM8oyZpOolqHb0hX428h4mHPLyHyzzmT268zVh9vcKoiDvAQca8NJ8yPT03lLxGSUm8FuaVPMzeKbxZD5s80i4zPBv7+TzvWfI7441CvSFfDbyOBa68Me1ovM63DryWDzK8vqs3vDkykjs6yCA8R2WEPGgH6Dxfqqs76OX8u1JYzzud9ck8D+xzvM/HcDtK5Fk8awxqvDOXAb23L5E7APQmPQJjmrsbPtC8AIIEPQD8Vz1JRpo70E0dvEl15rxn94W7YIOQPOdrKTxtmke8956bu7kYWDxlmPS72KKoPHwQkDs/W4A8CHj+uGNs17u5Wy48R99XvGe84LiHkTi9mleKu8JtY70qefM7dzpavIGrIL1SUJ48Tb2+PE93uTzuUUG8nYOnvNjR9DtzBoy8L6LhvJk7zzyikFo9t+y6PG++Mzxn9wW8ZdtKOqaNKz3bxhS9Sgv1u9MHmDymK2u8RUGYPDmsZTywy/07Z/cFvRgKgrkrB9E7Vl3RvAclxrySCrC7lg+yvL0VKbzvWfI8fvlWPWhKvryahta6nxk2PYlDAr3cXCO8pitrPAJjmryIHxY9SG21PHkbcDlMtY05ib1VPfQvKLyk/028DuTCu6aNqzw87Iw8j5s8PT9bAD2i07A808RBO0Cmhzh1WUS7yrIMvPYQPjtMcrc5oK9EPA0LXr3Wdou7LOC1u3+HNLxAa+K7umPfPPoVQL39z7o7d8g3PHN4Lr3gYSW8y0gbvdZ2i7yc7Zg8LOC1PPNedD3SNmS8sVnbPPto+LxoB+i7P664OHGneryqT1c8RfaQPGPygzudOCA8oIgpPAezozyLnus8xE75vP+on7w3Ftc863ArvLXQ/zuRdKE8yI6gPFiBvbucqkI5QPEOu5AxSzy+aGE9AwFavEMdLD1wn0m94B7PPCnj5DzC8w88Q9pVPFeoWDzNIQC80aBVPShNVj3nksQ7lxfjuum2MDvHS0q8/YSzPOX0BLsmt8c88DLXOyjbMzx9Y0g7xdQlu9Y75rtjr607HvjKPABuery7rua85blfO9zW9jvDPpc75GanvPKhSjw5OsM6bJKWPJR5I718GEG8XiR/O/NedDz0L6g8aEINPJnJLDzCZTI8uzQTPffpormVeSO8o2EOvUX2EL02gEg8vmjhO82b0zw/kv28Y2zXvHas/LtWoKe865fGvBbmlTsyg/e6n/KaO7+z6DwJUeO8/O6kPP3Hiby5Wy69g8+MvGHWSDquVFk7l52PvI7C17y0wB08zd4pOwWHBj2XWrm7bwEKu+qPlTsK38A8gvYnu8Fdgbsib++78AMLvNbBkrxDYAI9tH1HvKrdtDzZqtk8lKjvPFmJbrqbFLS7sZQAPZLH2TrXycO8+dLpOEZJyTyWPv47h4kHvW6i+DxB+T+8RknJPFUae7wsUtg7AG56O9pA6Lzc1vY7PfS9ux7wGb3TBxg8sQYjvXxblzygr8Q8C+dxu4uWuj2Mnuu6JSE5vA3kQj1uKCU9wBqrvJoMg7x0UZM8XziJvHas/LtS5qy8eRvwuwWHhjwK38A7vRUpPGdx2bv3Y3a9djKpvHwYQTvbzkW8S9you0H5v7y/jE084fczvYgflrxRwkA86kw/vClpEb0o2zM828YUPRhdOj2nZhA8XRxOPLQ68TuTVTe8CEGBPB3wGTwfhig7tzdCvSpxwrpn94W728aUPIb7qTxojRS8caf6PMxYfTx8W5e8h4mHPCjbszs99D08arGAvK8tvryQ3pK7jW8fOYfUDjzfyxa8uukLvAD81zwo2zM9QgHxPHxblzvAhJy8LJUuvTLGTTw8oQU9vqOGu/3X67vdNQg8BHP8uyKyxbsx7Wi79QgNPftoeDxpbiq8N5yDvARz/Luq3TQ6Zh6hOdK8EL1LagY95Ue9u5R5I71B+b+8rUwovGD947sWo7+8AdW8O9hf0rt0UZM8uzSTvGTTGbzsswG8UpslPYkveDwxKI48TywyPAT5qDtDHay6YIOQPEsnsLoXfKS6syqPPDOXgTz+GkI80SYCPaIWBzxkRbw78OfPuaPb4bxvEWy8GAoCvVYSyrsREGC8dFGTPKNpvzu78by88Cqmu12O8DweAHy8lsxbvcBJ9zwQCC+8XRSdvFIV+bum0AG9J5AsvHO7BD0AsVA9pyM6uywjjDtChx2659WaPEKPzjwwouG5INGvvEkDRLylQiS7+X+xPL7uDTwLKki8qtWDvOX0hLwNmbs8t3qYPHO7hLySTYa7qLEXvJApmryvcJQ8GRpkPD9bgLxCl388y/2TOhkaZLpTo9a8OGHevB2lEr3j4Hq8Hq1DPK9wlLw8oQW7ipY6vIYD27wa80i8dqx8u7WhMz2rvkq8dZwavXkbcDxo2Js8BuLvvArfwLy5GFg8I5NbO8atirz5yjg8oLf1Oi1ukzvzocq7pf9Nu8zmWrwvV9q8wqiIvKPb4TnCZTK7y8LuPBPx9Txjt967MN0GvS5+9buezi48ydknPY5IhLwB1bw7MXOVvBlViTuNLEk859WavQIgxLzGcmU8NadjvIq91bx8zTm81J2muxmgkLxaF0w7T+nbvNJ5urwfQ1K91jM1vCFnvrwDc3y8i57rPK+7GzwrSqc84Nt4O5ZSiL2xUao8faYePC3o5jzObIe8Jx4KPElGmrxJ+5K6ZNtKvDMJJDyVzFs81FIfPHYyKTy1Vqw7Ct9APYGroDnr2hy8uVuuPBAIr7vGtTu8dRbuOjCasDyRdCG9BdINvVszhzu9aOG6vzmVPPKhSjwMwNa8xJHPPEcirrxU7t28EL0nvKC3dbqrvkq8FVi4PALd7Tx+8aU6qt20PGwEubmUqG+9c3iuvDjnCr1eXyQ8m6IRvce97DyDhIU6GWVrvB87Ib1YeQy9g4SFvLHL/bwrB9E7gvYnvUuZUr21mYK8xnLluuyzAT2AaMq88+SgPBFTtjr1vQW9BuLvPBQFgDy8RPW8SLCLOw2Zu7w59+w7x0tKPL7ujbvDPpc8hSp2PE+e1Dy+o4Y8x1N7PL+MTTynZhC90FVOPALVvDwgFIa8wbA5vHp6gTxbMwc9IdngvO4GurvvnMi8ns6uurg/8zsrSqe8nxk2OyH1GzxA8Y48MoP3vF/tgTd3wAa9HgD8vMiOoLxSm6U8tVasO54RhTzMKbG8v0l3O1XHwjxSKQO9qzBtPHo3K7qUNs08INGvPE8kgbztuzI8TLWNu6E9orxj8oM83NZ2OwwDrTzZ7a+6HvCZPGRFPDtOlqO8j1C1u7A177xu5c48ESwbPDHtaDxPJAE9fsqKvDKD9zsl3uI7faaePBUV4juPm7y8fq7Pu8CEnLxML2G8MlSrOzyptrwP7HO82TCGO0KXf7y+7g29gNI7PUKHHb1ucyw7Qfm/vPl/sbyayay8qiCLPIVtzLwgFAa9GzafvH6uTzxd0ca8YiHQu+WxrjxGjB88kObDvOoBODyjaT+9i0uzu6qa3rv1CA28io4JPCyVrrvRcQm82xEcvTDdhrw99D08uD9zvHwQED1tovg6wiLcvG973Tw3Fte70/OJPM1zGz28zH29hkRvPOhDk7ug2Qm8chW3vOHDpDyiVgk81E+4vA12lzxIjQW8rsEFveKrQz12pJY935nju09I0Tz1Zuw8fZgUPHGA1jxj0Yw7GEwzPI4GgLuzrJM8l7tKvRTepDyt8/I8tjKDO3ZrZD0x8mm8YEudvM/YubzcZAc8zrdovCBJobtAy3Q8uX9AvRwW8LyD97G8ycxavUiNBbwUUjS93pBzvBD8hrweq1C8R/gkvHtu0zwDFIu8bm72PGrFCj3MUso6TrPwPJk4SjtPvGA9NqKavUnpM7uU2Sy9FPaFPAv5lzy6LAK9929cPcv2Gz1aPz69BQUavVPXsDtSewI7KpNMvEjIYj1fzh29sqMju+h+cD212H89Qg0XvXZrZDwBCxu94cOkPMzeujz0Xfw7JJ9Ouw7SxbwFBZo8EijzvH2YFL3mjWG6LO96vKDZCb1FzmO8fZiUPKRHGD1pg2g8pyBGPQhSVznypZ+8TPsTvYEGIz0VOtO81Nsovd+Z4zzkKMM7+JCtOyn1ez2z/9G8+/47O4g1/rxK2kI9Kv7rPB5Ykjw5KIq86LcivRIoc7v2V/u9Lhk8PEAciLzgujQ9Kx89OiYcTj12a2S8dwDFO75qTjut8/I89K6PPJBTvbw+8ka8Wj++PDnvV7zotyK8iesvPRfwhLycEfi7QxaHPB1PIj1Ay3Q8eoY0vNDhKby/i5+8PZaYPOmfwbv/+Do7HsyhvDTs6DyQ3y28u+Reva8dtLvybG28DXaXOhzbkj0oDV08NLELPBJJRL3k1QS8uZehuuOTYjzVq2a7EczEO/GEzjwJ5ze8lW4NvShGjzwlTJC9sfZhO2VOjLzyvQC9kPcOPQxVRjwGghm86hxBPY4GALyNWT68XDDNvHcYpjog1ZG8ve3OvARY2DzotyI8Oe/XvOJYhTyku6c87YFfvVJCUDxuvwk9j9a9PBwW8Dx/FZS8Bknnu1PXMD3T84k8WapdvaQO5jz4BD28k2WdOyhGDz0W55S8KsMOPJJcrbos7/q5kN8tu8q0+TwvOo08vxeQOWqMWLwcLtE8ioCQPUe/8jzekHO8T2miPApDZjw/+zY82Ek3PfN1XTyEdDG9x9tLPX5oUr0TYaU7AUb4OllvAL3F6jy85o3hPNo6xjyotaa8eSqGPb0mgbzhinI6ioCQvEHsxTuYF/k81GcZu/Vm7DxTS8C8YIZ6u09pIjysuBU9WpL8vGOYWr2nIEa8EnmGu6Id1zsmyY+7cYnGvB3Dsbziq0O8wvA9vKQOZjyQ3627dQ82O1ub7LyFlQI9KS6uvNhJt71YoW27ZcKbPFrLrj29mhC807rXPQVAdzx0elW9v6MAvL3V7bsWInK8r5FDPX8VFL2rAuQ7Jfv8OwTkSDsEkQq9aoxYPbP/Ub1LZjM8KsOOPFHmIT023fc8ahjJPP4QHL090fU8AxQLPVqS/LwK8Ce96z0SvT0KqDwYNNK7TQQEPL/eXTwb0qI8hFNgPTMESrwstJ298ZyvPI5irrwhpc84UeYhPQj/mLz2nx68FTrTvG88CTwirr87T4EDPIsv/Ts513a7OAe5PApDZrxny4s7mBd5PSbJDzybQTq7vSaBPepvfzxC1GQ90nYKPNqW9Lw8Abg8elZyvFPvET3h24U8x4gNvL6CLzzR6hk8chW3vJYmaj3O8Bq858+DvBhMM70iAX68HC5RO+lMA716nhU9U2OhvGmkubr/GYy8HcOxvGmDaDwWInI8OhCpvArwJ706pQm883VdPRdkFL1PvOC7HBZwvNbMNzzVq2Y8aCc6vRjhkzx9DKS8Vci/vCn1+7xNeJO73j21u/afnjtHv3K9y2orPfuKLD0GDoq8tAjCPDwiibyyFzO9CIsJvQVAdzrQ4ak8HcMxPfUrDz15ZWM9T7xgvQFG+LwR5CU98EABPd7JJbovIqw7G14TuoRTYDtthlc8P4cnPOPMlLyEU2A8+WBrPHGJRrwGYci8StHSuF9CLb2iVok81E84vXhlY7zuw4E9L64cPHVidDtO7CK9h9lPPNZYqDpSzkA85JxSuoiPAT0IOnY8IBDvvPAHT7086Va9hAAiPbv8v7x0swc7yXkcvLtwzz2LaK877Gn+uvVmbD1LZjM8B/aoOz2WGLxlwpu8uK8CPf4QHL2otaa7Nt13vSC9ML2nzQe7AmfJOqS7Jz0KfBi9vMz9uwpDZrw3/kg9Kv7rOt7JJTlVVLA6jkFdvSLGIL3WWKi8JCu/vP9UabwMbSc92pb0PNPziTxZql096UwDvbuIMLu6cE+8GOETvFG2XzywspQ89JYuvQ/bNb0TScQ7iy/9vFfygL1b1B683smlu641lTxT17A6pC83vdvPprwkn868588DO1hmkDy8HRE5txqiO+83kbyD9zG8SekzPK0spb1G19M8Lhk8PDerCjyO7h49YVSNveWEcTzwe169zvAaPfM6AD3Tutc8A4iaPJF0jj3WtFa8oTU4vcphO7slwB89Nd13OgZhSL33b1w8XDBNOzzpVjyrAmQ82ueHPKIdVz34kC28c6oXPbIXM7uB7sG8qyM1vIdNX71locq9si8UvWx957zh24U7dWL0O87wmrzofnA8utvuvKAsSLxK8qM7k2Udu0jI4jxRre+8DtLFu7H24TxiVI07jnoPOyNDoDxE/qU80Kj3vN+ZYzoDT+g7kcfMu3qeFb1rIbm8zrfou+t47zzeySW9wQgfOmWJ6TtHv3I6iy99PJgX+TsNPeW6nd8KvUL1tbuAWWE8Hh9gPW6/CT2TZR09oRTnPL3V7buCa0E9Vl0gvYqAkLym//Q7KwfcvH5oUjyKXz89aaQ5OQJ/qjx7pwW8nTLJvM2u+Lqc1pq8k2WdPJy+OTwx8uk8R/ikOuGK8rss7/o8jin8PMAggDy0IKO7l9MrvTiTKT262+47OoQ4PQRYWLz4kC29l18cvY5BXTtij+q84dsFPRYi8ruQax69rakkvUKBpjs19dg7v2pOvWSAebz7/ru7LfhqPR7Mobwl+/y6LqWsPDiTKbzjk+K80nYKvWXCGz1kRRy9e6eFPECQFztcSC69osoYPGutqbxhvyy9TcvRu58jWD18j6Q8oU0ZPURyNbx9DCS8Ni4LPD7yRrwqNx48sLIUPAnnN7yrOxY92pb0PMjkuzyYaAy9qTKmPJ9cirzBz+y7jc3NvIfZTzlpg2i7cYDWPFPXsLzA5807SI0FvGCG+ryhwag8eQm1vNO6VzzV5Bg9x2c8OigN3bxPgYM7ZID5ujMEyrwUahW9XcUtPaxEBr0KQ+Y7J7EuvH5QcTtaVx88XpVrPLKLQrwqq628bH3nO0DL9DsnPZ+8T4EDPU/1EjyOQV079K4PvTgHubw/+7a8oCzIvE0EhLxUp268ymG7PISMEj1lTgy9caEnPUyHhLwLTNa6pEcYuz0KqDy7iDA9pyBGvd+xxLy4dtA7zXObPHMeJz2W64w73ahUO+WNYTxkLbu8rakkvCo3HjxSQtC50MBYPLXwYDzJzNq8gxiDPIF6sryRdA67OZwZvOGi07xghnq8kN8tvG935jorB9y7YVQNPbosAjtiyBw9H70wPLvk3rw+8sa8nscpOzeKuTzjQCQ7MfJpPMkFjTzK1Uq9TcvRO6M+KLwl+/w8R7/yup0a6DwfKNA5kN8tvG935jzwe1490Kh3vExvI7vA58289p+euzerirrhotO8CHOovf17u7tlTgy91avmu3OStrxpvJq8gHHCvMbzrDkbXhM9mC/au5E73DqF6MC7Sn4UPB7kAj3gRqW8X84dvSI6sDwnBG2763hvOsHYXLwp9fs8CkPmO4l3oDx+aFK8O+BmvCIB/jzA5028NfVYPGibSbwv6fm72ueHPevJAry8BbA88qWfO44GgLxC1GS9KsOOPLPn8Lz+S/k8GuqDPA0CiDvrPZK7VGyRu/xa6rxrdPc8/xkMPBbnFDwjIs+7nRroOzSxC72NYi68hmVAPNlSJzzfXga9+oqsu1o/vjx7btM7eoY0vO1GgryotaY7MbcMvFS/z7r+EJy8G9IivPxyyzop9fu7jil8PG6/CbtdxS27WpL8vB+0QLxtEkg7KfV7O8JkTTz0lq47HNsSPbEOw7ybKdk6luuMvIKbgzsFYUi8HLpBPV3FLTzDhR67HGeDO5zWmjwy+9m8MfLpvFG237sBZ0m9nsepPNhqiLza5wc8rAtUPOo0Ij04Bzm8Lo3LvKUvN7uk04i9i2gvPZog6byjBfa8pv90Ov5LeTwP27W8LTGdPJYm6ju0fFG9OxkZPGaqOj0iAf47eQm1u89kKj0/b8Y8GW0EPIKDIr1OYDK9txoiPJXinLzPbRo8flBxvIUJkryHhpG8fV/ivAPkSDzC2Ny8pjinPAHqybxgnls7rsGFPONAJL0579e7minZu4IPE722MoO8tvlQOm6nqDwnsS49YJ5bvLKjIzw6ECk8bqcovMHP7LuGRO+7fAO0vMbzLDx6hjQ8Qg0XvUjgwzzf0hU95b2jPI5irrw3irm6fvRCPBYicryp+fO7GiVhPG6nKLwuGTy9Ijowu68F0ztX0a+81rRWvFRsEbtTnn68pVCIvGMky7vIw+q8bJ44vE1Xwjy50v48uhQhO/EQP73WzLe8e/rDPI4p/Dx2pJa8Hh9gvVe5TrsaJeG74jc0PR7MIbx6nhW8jgaAPECQF7zGuvo8NLGLPE9pIj1snji7chU3vfiQrbtoSIu84lgFvT6fiDwSeYY7bJ44vKdBlzzarlU7OJOpPHqGtDzwQAE7UrbfvPdvXDxzqhc9dwBFvEINFzt+oYS845Piu35QcbzSsee7KJlNPUz7E7y9mpC8fV9iPN6Qcz0lwB88dxgmvPQin7zuFsC5fQwkPOuQUD3pTAM6X0KtvL9qzjz7/ru8PvLGPCy0Hbx5ZWM7POnWuz4TmLyDa0E88wHOvPQKvruMiQC9AmdJOWx9Z71K8iO819WnvIrTzrw4k6k8MvvZPFU8zzwWInK83GQHvbv8vzzXYZi8Jz0fPDL7WTzK1Uo9m0E6PSI6sDwzqBu8xXYtPC8BWz37Ufq89F18vDulCTuSI/u8vva+uuTVhDsRWDU8TG8jvZ8jWLytoDQ8si8UvR8o0Lw/h6e8pA7mvPpp27vCZE09dWL0PJXinLzLgow84cOkPIQAoryOeg+8/kv5PEDL9LseWJI8kyzrPLjq37sjIk883eGGPWeSWbyHEgK9QMt0u4nrrzz0Xfw7GRzxPCI6MDsujcs8A0/oPNi9RrzxnK+8NhYqvCiZTbwzqBs87UaCPL6CL70C87k7J7GuvHSzh7ySXC283NgWPL/G/LweB/+7qRHVPOW9I70E5Mi6miDpvGuVSLy87U481XCJPFo/Pj0PZ6a7JRPePFZdIL0NAoi7/xmMuzG3jLwvOg27cCSoPLW1g7prIbk86CuyOyi6njtStt88Z3r4vKy4lbyEjJI8T7xgvBkc8ToUMeM8eX3EPEAEJ7wO0kU8s//ROxIoczzbzyY939IVvIPf0DzzdV29VPiBPAYOijzYaog85EkUPDErHDzuw4G815z1PA9nJj2BerI8yOS7u5spWbqdU5q6Sn6UPEp+FDwEWFg8bzwJPL+LnzvnIkK8hVzQu3kqhrwPfwe8voKvPIqAkLxK0VK8DkbVO5HQvDskKz88bhs4vJrlCz2GZUA6VeCgPH70Qr0FeSm8HLrBPDErHD0Wz7M73NiWPP3vyjt8j6Q6eFzzPAPkyDtxLRi8XEguvXYwB704e0g8nRpoOVZ1gTsLTNa8tSkTvXMep7lkRZy8I8+QvKxEBjwp9Xu7vMz9vHakljuhTZm7dqQWPIw47by91e28vJGgvE7sIrypMiY6YNcNvXqGtLzOt+g6TXiTu1NjIT0h3oG8RmNEu+HbhTyaIOk8gpuDvOOT4juVVqw7H0AxvNzYlrwJW0c94qtDPMj8nDyqx4Y89SsPPakRVboS7ZW8hDv/PE5gsryrr6W8/hAcvC6lLD18d8M6ahhJvSnDDj2TZZ07PQooPfBAgbvreG+7cx6nvF+2vLzJeZw7KpNMvNNGyLxC1OQ7iT7uvC0xnTyfC/c7QvW1PHMepz2sRIa8XDDNvDn4Rz1Tnv48314GvKoaxbwrB9w7+xadvF5aDr0oDd28R2y0uybJjzwp9Xs8GW2EO8JkzbsXZJS9eK0GvJVWLLsZbYQ7BQWavGCe27tDihY8UVoxvdZAxzqz53A8qTImPFK2X71+UHE8il8/PfMBTj04k6k77sOBPL3V7bqfRCm8XKTcOnGAVrpzkja8e6cFvcBzvjzH28u6VKfuO4EGoztX8oC8R79yPYf6oDtZ4w+848wUPIhWT7yOeo88lNmsuhRStLxX8gC8yOS7u3AkqDysuJU7FFK0uy+unDyoKTY9hvEwPMEIHzx3GCa7lusMvQw0dTsY4ZM8w8D7u1hOr7sY2KM8bm52u1qSfLuVyjs6yMPqPNXkmDyYaAy8XLy9uVwwzbxU+AG8kGueO/afnrzvcu48qscGvC4ZvLzP2Dm9RtdTvEF4trzhotO8oBRnPD+Hp7vpTAM9H7TAvHqeFbypEVW8XpVrPBcrYjxnktk8hHQxPGgnOjyFlQK8NYFJPDgHubvZ3he6l1+cu6MmRzwdN0G7fqEEPQv5FzyzOAS8uOrfu6QO5rv0Cj47xrr6vPqKLLw6pQm9NZmqPIh3IDsyNAy9shezOj2WmDzjzBQ76jQivaTTiDyAkpO8R79yvEV7JbvF6ry8/mNavKHBqDyexyk9czaIvDUNujo1maq6Y7C7PB9hgjwMVUY8xOFMvM9MybvZUqc8RP6lPPQiHzmCD5O8vMz9vP9U6bw579e6zFJKPGWJabzLggy8X9eNOybJj7z2HJ47lj5LPOY6o7yhwSi6jDhtPKcIZTzvcu68Z3r4vHVi9LwzqJu8QZmHO6qmtbsiOrC8wCCAvAELG73QqHe7w/ktu6MF9jwUMeM7w229vKoaxTsaJeE8a5VIva2gtLyRx0w5wCAAvCS3r7yu/GI8DDT1OhpeEzzph+C8RMVzuxfwBL0nBO28rfNyvIkDkbtdjPs6GMBCOgP8qTwmVYC8Zh7KvGeS2byTLGu7zXMbPe6KT7xoMCo8kGuevJzWGjxMh4S7kyxrvRIo87w0sYs819WnvAtMVr2wspS8xeo8vAMUi7yHTd87Y7A7vFSnbrxAy3S9WlcfPLkLMb0qw468qRHVPLIXMzx9mJQ848wUPDMESr1liWk8uhShu+fPgzwfQLG8KJnNu7upAb3dqFQ85Y1hvEp+FDuOKfy79CKfPBltBDz5Da27bhs4PW2G17vE4Uy7PhOYPJ0a6LiDa0E7jDhtO7wFMLszqBu9DT3lvDErnLsRcJa8IyJPO1hmkDx+aNK8588DPSZVAL1sfec7jkFdvH0MpLsY2CO9HuQCPCclvjyaIOm8Ua1vPNVwCTzN5yq9Be24vCtAjrwa6oM8s//RvEp+lDyfC/c767GhOzOQurzuis+819Wnu+lMA70KQ2a7ITHAu3unhb33qI68+WDrvGVODD1J6bO8MbcMPZopWTxNy1G8LzqNOe7DgTyjPqi8e6eFO3wDtLxkgHk6I1uBPNqu1bmINX48KqutPNxkhzxny4s7IVKRPNKxZzyEU+C8H72wu6kR1Ty9JoG7/1TpuzgHubrjzJQ896gOvUDLdLzI/By835nju5NlHTzybG2800ZIPLAmpDz9B6w8xvOsvPVm7Dq4rwK9iI+BvLURsroFYUg875O/uz7aZTyCYlE8qyM1PCDVET1j0Yy8QASnPJtiCzyIdyA8Be24PIg1/rtO7KI8BHA5uwrwJ726LAI8B2q4O0Dj1TwlqD48QJAXOgPkyLt3AEW6OvhHvB+0wLwBRng8RmPEO8fbyzuu/OI8KfX7ulXgIDw5nJk7yPwcPIxQzjwXZBS9Q/6lu32YlLzBz2y6jDhtPETF87s/h6e8DkbVO9XkGDu6FKG8WNofPeGKcr0ujUs8BknnvPJsbbxwsJi8Z3r4PPwfDb0xE7u8RtfTu1G2XzshUpG8FTrTvI7uHj1g1426jVk+vUV7JTv2+0y9i/Qfu/5LebwiAX46xtLbPLnS/roWZBQ8VrDevBZDw7wvAVu765BQvCsfPT33V/u7SvKjvOBGJT2jBXY7DbYhPSKA2bpYWZS9VG7MuYxkJrtWT0m8vO2ou+tL+TnU/U28GsQLvcvaqzz7CIm8BrAevLGCNT2T5FE9DPSnORZ+nrvzXSs9KcJ+PKz09jwUgII9KpILPU+wmjygLl68Ag+Mu8xBADzGs8E6cMTevBGyWT03VsC8UepYvCzOrbzF8ce8GsQLPHNnVbxTrNI8etaQvFoN+7xaDfu7fXcjvSzOrTyO++28j+iZu0EcWb0TdFO8SOa5uyKrCz2fbGQ9B5EbO6J2Lz1vax28detIPf2d7LuacpA9imaKvaNXrDs9IKG8sr5XO41FIz2pmzW9FDZNPRSAAj3SO9S8PdbrvPsZ+bvAjrs8olkQvE8LwDwl5cm8S4mwu3xMcT3eD4A9f9BkvAIPDDz9ney8m3AsvCAIFTxBwTM9/4oYO6YXwrzQ4hI9K3OIvF68oLyqXa+843IMvf4jRL05f468/4oYPR2jJD3EEMs7QTtcPSnC/rxiAg68nAd0ukKiMD2P6Bm9hntCvVDNuTw7QYg64s2xvJtwrD0yeYu8MxBTvA/yw7wu6Wg91KIoPWlGFz25DhC9EPDfvB2EoTyE9869T0fiO/zbcjvSpIw93QFtvCROgj1hIRG89JlNO3NnVbxvAmU6ToXoPEI73Lt9THG5sGWWuZxRqbzC1ow8O3H7PHQKTDzL2qs65qzKOqLR1Du7AH08OyIFOmAVYjzai4y6fi3uOgLk2bwpDLS8kea1u0eqFz3hsBI80lpXvQVozbwrhPi84IVgPPN8rj2kvgA8B5GbPMrtf72fquq8gXPbO6s+rDvCq1q9SWyRPLzC9jwiqwu9oPI7vGxtgTxNSca8A9EFPIEYtrz/5b28O3F7vKDyOztq6Q28r3jqPCHpEbzWgUE8Sw+IvMMSr7xYWZS80NbjOUCYZbsigFk9TaRrupYNILwTk9Y7biFovU3D7jzdIPA8MU7ZPGK4WD1BHNm7+2Ouu1NRLT17yP28UVMRvXqYijzZu3+8PXtGPMy7qDyspQC9+YSVOttsibrrany81f3NvDnaMz11KU88vHMAvZ/VnLzXYr48gXNbPcxScD3Dt4m7XL6EO0JHizxsyKa779ubPStUhbqeMEK9XJ8BPaR0S71Hqhe8P+IaPG6pI72y6Ym86zqJPC1SIT1JbJG8JKknPU3Dbryjdi883D/zO4KeDb03dUM8kH/hu2Q8TDwcwqe8cgwwu+ZuRLxNw+48a/p9vEfJGr25abW8ceNhOynCfjxJTQ48/+W9vM59Irw6+Ta8/bzvvDG3kTyxJ5C8YplVO35YoLwWF8o8tSPIvOduxL0Hchg99ZlNPRuGhT2jV6y7DOh4PWzIJjwtJ2+9A8VWPCQEzTwUNs28oQ9bPbDAu7xzSFI6Jkwevap8sry+ryK9R6oXPcazQby+J2c8UHIUPa7Cnz21Bik9NPFPPP9f5ryRQVs9cMRePAOmU7xvxkK84s0xvc8U6jynnZm7aCcUvG+nPz1M4nE8AsVWPambtbpBZo69jIOpOyVrobxM4vG7qLo4PKY2xbvSedq8g7usvOtL+bt7eQc8cUq2vO10xzxBwbM7ISW0PKsyfbyofpY6FL6IPTucLbxZeBe8ipZ9Pa+EGT3rlS49QFpfPEoui71csHE7Y8SHvP7IHjz0mU08EPBfvZ/VHLyz6Qm8I20Fveq0MT1VMMa7kCS8vGzIpjyy6Ym8L/WXvCnCfrxjXTM91kUfvMvaqzz43zq80xzRvDxeJz1/0GQ8lGqpvLHdWr1AHr08bwJlPc4z7bxb3Qe9kGDeO1z6pjuhTWG6/yPEvCQj0Dug07i8vpAfvQr2i711KU+8Z4SdvMBvOD0skCe92rv/uJRqKT0h6ZG7evOvPK4dRTuqfDK9K2X1vCJh1rzhCzg90cMPPVb0ozz1eko9n9UcvQ8PYztr+v0865WuPLuxBrx168g7Q95SO2bfwjvCbVQ8rbbwPA1s7LwrVAU9k4msPDFO2bxkpQS9Si6Lu3vIfbzjCVQ8HaMkvZpFejwiBjE9qLq4OmiCuTsL14i9FZ0hPMeUvrxwTJq8nejwvGiCOTxrBq26xnefPN2mx7xR6ti8JE4CPTFO2TsP8sM78kCMvDWzyT1V1wS6sggNvPmhND2CGDa8XtujvAOm07iFuci80cMPPenyN70wyuU6A/CIvRF2N735V3+8MFA9PBF2Nz0ro3u82OgVuyIGsbzXJpy8kscyO9SiKDxm/kU8E/qqveXLzbwin9y7BgtEvXOSh7wEsoI9+WUSPdT9TTtyZ9U8Z4QdvCcOmDx2caA8Dk3pvFUwRjzEmAY9E1VQvRSAAr2cB/Q73QFtPAawnr07uzC8xncfOTxeJz1gmzk89ZlNvf2dbLtsvPe7sYI1uruxBr0T+qo83iwfvRQ2Tby60Ak6MbcRPTsihb2aNAo9oPI7vGeEHbw2Gp48lYdIvU+wmjv5Ro+8Z6MgPWJdszyhlxa8oHiTO7vCdj1snXS7eTE2va22cLyVh0g8B5GbvP0GJb2KZgo9kYuQvLzOpTsLyXW7Bc8hPKp8Mj000sy8IN1iPTQcgjx49RO8vM4lvEFaX70EaM291wcZvRebPbu+J+c7FhdKPCanQ72T5FE8CvaLvNrmMbyQYF68JWshPeLNsTxlW0+82uaxu7drGT3hsBK8toocPQFNEjmpQBA9W890vIY/IL3qeI+89OOCvGajoLxq23q8tQapvA22obpFRac5qzL9u3q3DTwcl/W84zSGOMEzlrv5Ro+72aoPvSBjuruyY7I8rB8pPQdyGD3jNAY9S/CEPFhZFL1aDfs8m3AsveTqULyY7Lg8XXJrvFAo37uTbA09+WUSvEFmDj324Z483C4DvXZxIDwh6ZG8N/uautnoFTyOB508QYWRPPonDLzhsBI9COzAPLXIojyg8js7NBwCvT+Y5TzOfSI8/QYlPbAbYbwDplO9tIwAvdgkODzG0sS7PT8kPcXxx7lXEUO8EDoVvXoSMzyazTW88VNgve/bmzzXJhw7FIACPb6vIrw5fw48c0hSPCGA2bz3/r28rACmvM8U6jzC9Y+8wqvaPCorN7y8cwC9Sl5+O++w6bzzfC69WvyKvH/Q5Dz4hBU93D/zPO/bGzwwjF+8wI67PHt5hzyE90485m7Eu6YXwrz/BEE9VDKqPMAzFj0F7iS9YF8XPQZJSrwdhKG8WhuOvNBcO7x+7+e7aII5PM8U6rwM9Ce93SDwvLKf1LwzWgi84nKMvFXVoDk5nhE9SU2OPDZ1w7wxTlm7T7CaOw8uZjz8JSi98wIGPRKT1rz/fum7FZ2hvOwsdjwF7qS8BbKCuvz6dbypQJC5BknKPAQNqDyv3z48JARNPTpgizz8+nW8y38GvexXKLxiAo68xBDLOxrEi7hq6Q27oVmQPJUPBD28cwC9yq/5PHu3jTqUxU47CxOrvGOZ1Ts/eeI8P5jlvAFNkrwMyfU75MtNvICSXj34hJU8QB49PDwU8jsyeYu896MYOyC+3zs7nK28zl6fPMDpYLsGsJ68fbUpPP+pm7sUVdA7yRoWvFNRLbxzSNK7Sce2vChpPTwH7EC8ACLgPPMhibyKpBA8KdARPN6HxDq0YU68zEGAO4L5sjxLAfW8GQISPMWWIrrx2Te8CFOVPGrb+rw5f4478V+PvGMfLTvEeYO66XiPO/UAojvsGwY9+xn5u5PkUTy0Qku9LDUCvMIxMjtScDC9q+OGvUWBybp/Ghq9VTDGvIpmiryOgUW9Sce2vHQpT7togjk9HHjyu62X7bp+dyM88DbBPCIGMT1BhZG8PgEevRh8urvt/II7WXgXPIL5Mryw/F08L6viu9qLDD3S4C68Wix+OhR0Uz2Fuci8JARNPDc3vTpQZmW67Et5PZ8Rv7yYkRM9Z2WaPPEV2ryIwxO9PdbrOwEuj7xzDLA8SyD4unKxCrvgpOO8yFa4u2LX27zLfwY9UQncPPR8Lrvh7DQ7IgaxPGAVYr1enR070Fy7PLBGEzxCR4u8Q2QqPIk9vLxD3tI8ql2vvBDw37oqK7c74s0xPAGJtDrYJpy6EXa3u6AuXjwkI9C7F9lDPDYaHjtqRLO8Co+3vKjZuzpX8j+7ind6O7HdWjx+s8U887hQPXZxILvgKrs7oNM4O1GPMzzn1Ri8uu+MPOJyjLwzENM8/NtyPFoN+zpxLRe86Yl/vP+KGLxqYza9gp6NPH5YoDwRGxI90R41vDMQ0zybrrK6dnGgvN6HRLzSpIy9A9GFPA/yw7sfoUC8oPI7vEfJGjxDgy286dO0O2dlGryA+5a9CzKuuxH8DjsqKze8ncntOpLHMj0qo/s8q+OGvINgh7wMqvK8F5u9OzmQ/rvf7hg87rBpu03DbjxYeBc7s+kJPKJZELzS4K47/NvyPDpgC718a/S7hprFO+nyt7qk3YO7RQchvBNVUDmQqpO8gPuWPO8XvjwhgNk8A6ZTvPsIiTxkPEw8D/JDvL4n5zuzgNE6lu4cvSHpkbgOi288DpcevVE0jjzURwM9GT40POi2Fby0Qss7NrNJvKP8hjuDFtK8dFQBPeUVA72pmzW95hOfvBldtzqUxc68sp9UvIW5yLtbz3S8vkZqOrsrLzzdIPC7PXvGvABslTz/5T08rKWAvC8UG71xSra8vZKDvHKG2DyRQVu54UdavXAOFLzyfpK5wI47PYr/NTocl3W8BUnKOwiuurr82/I8edYQPRrV+zzv2xu7ncltvF/ZP7yJpJA6o/wGvdqLjDye1Rw7AGwVuz+Y5TyyYzI8c+2suocBmjyxJ5A8lyo/vZJNCjszlio9RyTAPO9y4zkS0dy8uWm1u1yfgbzSpIy8O3F7PbxzAL28wva8ovDXPMueiTwnDpi8ExmuO0o/+7xCO9y7ZFvPPIEYNj02Gp68MnkLvWKZ1Txgfpq8OtqzPHRUAThcGaq8A0uuPHQKzDqHAZq7MbcRu2rKCrxPkRe9QMOXOsrOfL23axk8akSzvABslbxc+iY9soI1PC/1lzyOB528bMgmvYKejTwNi+87WSz+PDtBiLzqWYw8ctANPWurBz0xbdy8zvXmvAvXCDx51hC996MYvQ9ZmLuW7hy9Y7jYOqbbHzuei2c8DdUkvXgUFzvSO1Q7pN2DvMeUPr1Ozx27EtHcuzc3PbtDCYU97RmiPBn0/rzxFVo6fjmdPORwqLyVh8i8CXC0PFIJ3LtE6oE8SIsUPFyfAb1MS6o7U/aHPTNaCL0Jjze9SV7+Oo/oGT1kpYQ8XLDxPCtUBbxyhtg779ubPAPRhbwz1DC84pEPvOMoVzzMuyi8w07RPDG3Eb3RmF08o7LRvO04Jb1pCJG8HllvPNDWY7zS4K47Ts8dPW4haDp2kCO81N7KvHHvELz43zo8cmfVPHvULD1sjIQ4i3f6PA8u5rzxNN288X4SO8L1D7uzyoa8S2otPKP8Bry0Qss8ye1/vHu3jTwcl3U8M/FPvU9m5byJpJA87DqJu6Y2RTwztS0928cuPMISLzodOuw6bwJlvBN007lVT8k8bIwEvdW/xzzu+h69wI47PMgaFj2d6PA8uC0Tunt5hzz1mU29TSynPL8n5zxAWt885HAovMRaADxlAKq8+aE0vBRV0DuU8IC8zJB2PH6zxTxTy1W7O3H7OwHkWbxkW8+8+oKxPL5G6ruMCYE8yq/5PChKOjw91ms7K2V1Ow4RxzwCDww8OZ4Ru3TOqbyGe0K7tQapPOGF4DyqfDI8bMimvAawHrxLibC7dFQBPVP2BzyE9868wOngvBzCJ71PkZc8BUlKOxAPYzw/4hq9L/UXvVmVtjyRQVu6pHTLu3w7ATxq6Y26Be4kvXRUgTucJnc7o/yGPGx+8buS5rW84Co7vTQ7Bbqi8Nc7zXHzvEViRrzEL868QFpfPCyQpzzusOm6T7AaPBA6lTwJNBI9ovDXu0sB9boQlTq8F7pAPLLpibzK+a49mlMNPb7MwTwdo6Q8c0jSPMZ3nzu8o/O7PvVuvMLWjLyidq+8l0lCvY0acT1ERac8b8ZCvRTbJz1zkoc7+N86PbInEDyO++280XlaO4Y/ILyQBTm8NrNJPARoTby8cwA8s+kJvLyjczsUNk28nFGpO4QigT04GDq8ZHpSvefVmDz1AKK7Ugncu+Jm3buUS6Y6Co+3PN1qJbwaXTe9m3Asu+duRLpNw+48vwhkO9cmnDuVh0i9ROoBvJID1bv6OHw6KbGOuhkCkrxsfnG8kUFbvepZjDwzliq8Z2WaPH13I72r9Ha6NbNJPaCXFj2vhBk80v8xO1JwsDvsDXO8aIK5vEo/+7w9PyS9uyuvu3w7gTyLd/q6eBSXO42DqTwQlTq8Q95SPbK+1zrOfSK841MJu/F+EryRyZY8w7eJuxk+NLzzXau87u5vvA9NaTyLoqw8m2R9vJPkUTyul+08jAkBPaJ2rztBHFm8t2sZvOsbBrwGsB48A8VWvD9cwzv5wDc85Y1HvGbfwrv437o8gXPbPPfCmzyqIY28zxTqPGsGrbxcnwG9HVlvus8gGbwPD+M7IekROqR0y7zF8Ue9yPsSPH8amrzGlqI7rPT2PIwohDyE2Ms79ZnNvKLw17uOYkI7gJJePPBT4LshgNk8jr1nPCHpETywOuS8vHOAPCnQkbsjI9A6LDWCvO10RzydUSm8TAF1PESgTDwlxka8cMRevI7cartGgUk7fDuBvIrgsrtsvPe8vHMAO3XOKTyCfwq9Hhvpu1IVC73rLHY7ClExvRKT1jw+t2i74wnUvNqLDLwoab26zWADvNEetTxERSc9JeVJO/mhtLw7fSo8lKbLuQsyrjpkpQS8CiZ/u2LjirxL8AQ9dCnPPBGy2bsvb0C9ZDzMvOXLzbwv9Ze8G9V7u8Z3n7y9ZW288FPguzt9qrtkpQQ8RiakPMK3ibwOlx68IquLPJKor7ySA9W8Cwd8vKsCCry9r6K70D24PLBlFr2txIO7att6vE0NJL1JqDO8utCJO2R6Uj0tCOw7/echvPsZeTtNpOs8O30qvQcLxLwkToK8Cib/O0dDw7y+kJ+6hj+gu4T3zjyQf2G8Cgf8ugYqx7xRKF+7UGblOjxeJ7zdD4C8/eehPGB+mjykvgC9PgEevMAI5LxsfnG8/MoCPXAOlDlfNOU78Pi6u/SZzbtRNA480Fw7vYZ7Qr1kACq7cS2Xu7ChOL1x7xC9X9m/u6edGbwvq+K7IgaxPOELODwYfDq9kqgvPb6vorzO9eY67XTHPOUVgzxmHck8zHFzPGx+8bx/lMI7NBwCvcyQ9ruueGo7LDWCvII1Vb3EtSU80xzRvP2dbLwnDhg7RIOtPNxe9ru/Rmq83odEPRR0U73SWte5O5ytPJxRqbpC4DY85qxKPBW8pLyVh8i8gdyTvC+r4rvpl5K8ovBXu/S4ULzzIYm8NbPJPDVYJLvDbVQ7dc4pux/AQ7zcLgO9VI1PO8q9jLuuwh+91yYcPUZDw7lzSNK80xzRvAvXiLtTy9U7EtFcvCCCvTxzZ1W8YSGRPOt2q7z6grG8M1qIvBSAAr08A4K8jDl0PB8bab2K4LK7wOngvMntfzxrBq27z3u+PAEujzvEL068zj+cPHIrs7z8yoK8wm3UOyqSC72kk868+xl5u9kFtbs52rM7Kiu3PH7vZ7xYeJc7TAH1O+i2FbyMKIS4aaG8OyEltDtM4vE7ToXoO7K+V7wMqvI8nCb3vPP2VrsIU5W7cMTeuz0/JDyfquq8vKPzO04NpDzwNsE8xLWlvGdlmjtW9KO8GvT+u2XhpjzY6BU9JE6CvD+YZbwVnaE8kosQvHGl2zyiOo07qkAQPC1SoTwpDDQ8GHw6vBEbkrzU/U08/Ntyu5HJFr37OHy7CSb/OrOAUbtDKIi7r6McPPiElbwwjN88q+MGvNPBq7yKpBC8V5cavPZ6Sjzs/II8rdVzu1sNe7ug0zi8qiGNPCC+Xz15FBe8bJ30O3czGrzanPw8D9NAPGOZVby9ZW289/69O37v57woSjq8pL4APcyQdr2QqhM8pBmmvDG3EbwSk9a84Qs4u6VVSL3/qRu9T2blO6wfqTsF7qQ7lMXOvEVixjybrjI6E1VQvVhZFLyMKAS9LunoO5LHMrwrhPi70jtUPBbZw7sDxdY7HHjyOF1ya7xk4Sa9lKZLvE0NJD1Ty1U8rdXzvMq9jDwOEcc8v3odPGe0wzydxpu8XBBxPAwFv7xeE7a7/vhRvIZNrjwtuUA7s/KFvBI77Twy7+68hZfsvDYmwTye3m09qE6zO5ZAJTyVWRs906PCO3reDD0b3Hq7ru0fPGgBR7zVQA49d6c6vbhZ/Dy/eh07R03FO9ChoT2lM5y6Nw1LvB0sw7xM0HY8NnNEvIxSlDxFZrs81QtdvQSYPr0he2e8UYhZve5S3rlYkIS9OSjiO0OYp7wzWC28veCWvFKkFD03p1G85+XdO/UNBj1YQwG8MKMPPc9scLwHz5A97jqMvQF9J71flEa9pbHnPDv2dTtjSWS8AeOgPb3gljw8X7S8eSjLvLYlbzz5D6c79T5OPJIJUz1bduq8qhxHvIgbQj3oNaY9Fb9Cvc/upDw5KGK9zgcbPMD7rTwINOY83keVvCnQFb1sUGu8IhXuvDdazrwlmcM8se/AvCvrrLwQ1he9Ndk9PKk1vTxE/fw76gM6PRfCBzymGia9rJ1XvAIXLj1HaQC9xMwGvZYLdDwoNo85NPKzuxJXqD3adry7wsnBu6QXYTupgkA9WJAEPXK+jzwS1XM6Yf0EvQ9tWbw5XRO+ZbH+PJPYCrukfdo8SLaDuyhOYTx0P6C8hDKXPNFvNbyLuA08k1ZWPRz4tbykTJI8dD8guxYogTy5D768sAi3PDFV6Lv3WWW8xJdVPHGi1DxKNxQ8d1q3vIrRg7wQ1pe8q9KIPKFiw7waqG08CZ0kvIrRAz318cq8bQYtvVt26rxiMRK9TFIrPHqRiT3XDqI8UHCHPPO9Pb27EgO9DoZPO8bnnTzQiKu7TYa4POd/5DxIA4e83HmBvOg1pjxlF3i9GPYUPYpPT7xqHN68+kM0PSg2jzwQiRS8FNg4Pa8hrbwB+3K8zDkHvaOyi7xl5q+83voRvTU/tzxlmaw8WkJdvJ9HrDx2DbQ8L2+CvS860TyWjag7Pfk6PETlKj0v7U07K7b7uwnO7Dx428c8/hSNvJ5gIj0ASZo8ZH1xPLTZjzwbXi+7zJ+APO7tiLz1Pk67IuQlvAHjID3mGo88OpGgPDXZvTydROc83ROIPXsrkDy9RpA8ltqrPDkQkDtr6xW7eysQPTldEznVcVa9rOpaPUxqfb3EzAY7cwsTu3YNNL0CF667zLdSPGuFHDwSVyi9x4GkPdULXbwrHPU77R5RvPdBk7sfrdM89qcMvMVmjTyhFcC8i9DfuuYajzunZyk92yk5vQH7cr1WQLy8qhzHuziO2zwS1XO5DZ/FvNp2PLz2Wgk7Olzvu6YaJj2aKVC7dov/O/x3wby9xNs81tqUvJv4h71c36i8puX0PPZaiT1R1dw7QheXPTI9FjxmgDa9zZ7cOMUx3LvwIPK8aJtNPUyfrrwMUkI8Y0lkPNCIK7yN06S8+CgdPTI9FrywbrA87u2IO7BuMD1s6nG7bB8jPM/S6bzA+608stbKPMDG/Lw4wwy9SIHSvKvSiD24KLS6ioQAPZn1wjzkF8o89lqJPVt2arxge1C9MT2WPH1Gp7zuOgw8hZfsPATlwbwU2Dg8RDKuvM4447pkZR87qhzHu+46DDycko68KDYPPGkdgrwW8888nnj0PNyqybr2JVg8y9BIPcy3UrxKhJc9gPtEPLhZ/Ly0Pwm7mqsEvY6e8zwHzxA81XFWvMzsA7s8XzQ83KpJvZgOOT2uOiO8tFfbuwF9J7ypNb280Ab3uk5tQr3rUD09J5wIvA+iirzFZg27HpWBvK2EYTxUCeo7H/pWvPE8Lb12wDA8jJ+XPO6417w5XZO82FslunysoLwPogo9vUYQvRFwnjx++H+8MVXovI+huLxvOjq8Ez6yu9OjQruCZIO9DexIPBIKpTxJ6hC8i9DfPFySpbzFGQq9agQMvdBUnry28WE8PBKxPHwSGj0he2c94Mglvbf0prx8Kuw8cdeFPKB7ubx420c8M4n1Oyg2D70WdQQ98CDyPOKWubry1rM7gRcAPaFiw7xzWJa836xqPOF6/rxf+r888aKmvGocXrznf2Q9u0PLu93GhDyQOz+9KOmLPAvRsTuOuq48WsSRO/HvqTyQ7rs8uxKDvON9Q72E/WW9h+e0PCg2j7xxolS8z2zwu9tdxj339I+7OCmGvKSWUD3Nntw857QVuxhDmLwSb/q8DrsAPYMvUr0Hgg08u5BOvfe/Xr1ObcK65BfKu66gHD0WQNO8fF8dO4zsGrs5XRM9jjj6vLdBKjzqabO6zZ5cvYWXbL2aqwS8Q5gnvUHKE72ZQkY9lNdmPTIkIDo+k0E9tD8JvSDJjjxUCeq8Wd2Hu4rRAz0INOa7mqsEvc66F70Hml+8gnzVvGgBR70SO228bzq6uvXxyjx6XFg6nURnvZhbPDvnf2S91IpMvBhDGLz5jXI8fKyguxp3Jb1EfzG9CVChPLf0pr10PyA9+NsZPZ6tpbvPbHA9y4NFvXKJXjzuuFe9rANRPWJ+FT2BlUs9+Sf5ut7GhD1VWbK3OI5bvUqc6bw8kPw8eXVOvKs4gr0Q1he7D++NPLKJxzutBhY8PpPBPGKvXT2FZiS9nXmYPPpDtLz425m8phomOzOJdb05XZO9BugGvazqWrzFsxC8ffkju5PYCjwWpsw7yJn2vOflXbyE/eW6HmDQuyeciDzGmpq8ozDXvPnCozwtucA8YchTPNx5gTzCyUE9CGkXPGR9cTzpHDC8fF+du1G9Cr0gY5U7xMwGvfeOljvhYqy8OlxvPM2e3DvY9as5tfFhOxM+srppHYI7SoQXvSnoZ7t6RIY8tsAZPXysoDyCyVg9KE7hPPzExLvyIzc9i7gNvdtdxryNOZ65SRvZvM2e3LoY9hQ9kO67PFVZMj3bEEO7gZVLOzh2iby0jAy9JubGPEIXFztItgM98bp4PIpPz7xMn648DruAPNhbpTwf+ta70IgrvdVAjjxS8Zc7z6EhPVS/q7yoTjO9JoBNvbsSAzzzcDq8CoQuPVndBzyEMhe9FqbMvFpC3TwJaHM8+cIjvbxfhrxk/6W6k9iKPUOYp7qArkE8xucdPZ0THzyeraW8m/gHvee0FT0E5UG9JjPKPAHjoLs8kPy8bu02OhhDmLxntEO9GNpZvPlcKj2Jzj48HZK8PI4gqLwoTmG8lD3gO9c/aryZ9cK7CVChu1QlpbxRCg49X5TGPFcnxjxUCeq8GQ5nPHpc2Dsh/Zu8TeyxvGXmr7yL0F+8q4WFPNXzCr0Qoea77oePu6QX4bzUWQQ9ap6SvNrcNTskGDM9uXW3O3IkibylsWe8wMb8u5PYirzY2fC8uCg0PTt4qrwXD4s8MnGjvJtFiztT2KE8ybWxPJGIwrzY9Su8UO7Su9fBnjzNhoq8vl5iPLUmkzzuh4+8TND2vMkCtbyLBRG7YchTvOjoorzjMMC7NnNEPKzqWj1JNE+9R5rIPMc0ITxAloa6nURnujt4Kj3tHlE9/kVVvfCGa7xlTCk80SKyPDkQkD3gRvE77OpDOxJXqLq9XuK8et6MvGWZLDzjfUO8Vtd9PDMkoDzpgim9fCpsPAlo87y5dTe8UQoOvMzsg7yr0oi8mquEOtCIKzzH/2+8Um9jPPrCI7zyVP88ZGUfPZ54dLwP7w29ROWqukAU0jyQVDU7MfASu9RZBDyxoj29qc/DPLf0pryge7k8MbthvJyq4DvGZWk8/pJYvBJv+jzN0w09DtPSuzldk7tJzlW9jdOkuz35Orz73bq8saK9vWmCV7yfRyy9UHCHvCqC7rz3WeW813QbvC/tTTzMOQc9w2NIOzh2ibx79t68dfF4u7e/9Txs6nG8eI5EvYfntDyuoJy8yx1Mu/yQN7z/LN87o5bQPG1sJjuCZIO8b4e9vBrEKD0ZkBu9rVMZPMHit7pItoO8CVAhPcRK0rz0V8Q7PpPBu+nPrLxQIwS9uXW3PDt4qrwy7+489T5OPF0sLDw5KGI7zjjjvIoeB72k/448uI6tu+TKxjtIgdK8WkLdO6ibNr1p6FA8SVAKudK8ODzSCby8cnGMu2dnQDxerbw7XEWiO5pegbzXDiK8IpcivOXmgbzkyka8jYYhOgccFDzeR5W8dVfyO9QMgbrzIze8OCmGvLuQTjoZkJs8jFIUPAoC+jtSVxE7pTMcPWPLGLxptwg8w/3OOuWx0LvQO6i8e5DlPGk1VLta3OM7HSxDPNHVrjvVpge82Nlwu5GIwjrAriq9VAlqPINj3ztJ6pA8CWhzO5Vx7TzKNkK6NT83vBQlvLzOupe9pEwSPUoC47yM7Bq8+PPruUHKEz3FMdy8MG8CPNM9ybu02Q+9jTmePJOLBz0+Rr48qziCPNx5AT05EBA94pY5PASYPr0ogxK9AfvyOxteL7kLazg5XhM2vEXMNLzh4He8/hQNPNXzirt420e8QfvbPBp3Jb28rAk897/ePL1GkLyM7Bq7m8NWO2s4Gb1ksqK8zgebPGGXizzwIPI8Wtzju1rc4ztk/6U6c1iWvAV/yLsvvIU8cG5HvBj2lDwB4yC88AigvAi2Gj3FZg09+L9ePLhZfLyjltA88lT/PBLV87yCZIO8+VyqO51EZzo49NS8bh5/OvCG6ztpt4i8uFl8vCkdGTwlTMC8gv6JvG4ef7vm/tO8yrWxu3iOxLuDsQY999hUvHbAML033IK8CoQuPOFirDzA+628gZVLvQoCejwgFhI85MpGPTAh27tx14W8hMydPNcOIrxntMM7HsbJPCca1Dy7EoM8a7bkvMDGfLx6D9W8GqhtvPZaiTwXwoc8solHvL4tGrzImfa7H0daOpEiyTz3jpa6xpqaO0QyLjsbESw9dnOtu44gqDvn5d27jOyaPBJverpvOrq8mxBaPUs2cLyEMpe8UdXcPINLjT3lsVA73njdOdp2vLxoAUc8VCWlu0dpAD1HTUW8saK9vAnO7DwjSfu8WSoLPXBux7vJArW8NKUwPGuFnLtMny687jqMvBChZjo3DUu9qJu2vCPLL71QIwQ7xbOQvKe0rLyjZQg9XUT+PKd/+zxmzTm7yM4nvS5sPbx12SY7XBDxug88ETxcqvc8yM4nPXpEBrtOhji8zYYKuwqELj2thOG8H61TvDmqljzlgIi8dfH4PFE71jwKhC67tovovBG9obz2Wok78CDyvL9hp7zpHDC8ciSJO9TXT7xUCWo9aYJXPfZaiby427A8l6X6PMf/77oAlh07m/gHPWkdgjwgR1o8bh5/PMBhJ7xbduo7gUhIPVyqdzt0P6C8/3qGPEi2Az2A+0Q7gRcAPUeaSDt428c7nvqoPGMYnLz39A87wGEnvNULXbuOOPo7SWjcPMWzEL19xHI8OShivObNi7z5J/m7pH3aPBAH4LxXJ0a6OMOMuhfa2bytHmg8WkLdvOw3x7ue+qg8QJaGu+lNeD0wIdu7ulzBPLAIt7xaQt07W16YPOFirLxaERW8+Q8nPF9HQzxKN5Q8cdeFPFQ9d7p59wI9Qi/pvHGiVL0zC6o8cr6PvCcaVDxqUY88poCfPMiZ9rvRoP07rR7oux0swzz0pEc9peaYOkyfLj1ycQy9HsbJPNUL3TzdkdM8/MREvLVzlrveEuS8rB8MPSDhYD2Jtcg8TwdJO71eYjvxoqY7AUkaPJ55GLxVDK+42Y+yPEEwDTxIgVK8g0uNOgea37wDS7u7Sx6ePCKv9LyfEnu8ik/PuaOW0LsEMkU8p+V0vLKJxzzwIHI8hTHzO/kPJ70otNo6IXvnu2JKCD20Ctg8agQMPFOLnjzA+y28KE7hPBp3pTwHHJS8bNIfvWLkDr39LQM8SzZwvE05NTvWpWO90aD9vN54XbveeF28sVW6vF9HwzjgeyK8zJ+AvBeNVjyFMXO8hWakPJaNqLyTi4e8Z2fAuoCuQTzUWQQ8zVHZvJQMGL37qa26GHRgvFOj8DxwIUS8GQ7nu98unzzgyKU8AEmauzv2dTwf4oQ8APyWO3HXhbzWjRE96JufunAhxDw7K6c8TND2Owlo87v/rpO8ru2fPHt4EzysbA+9d1o3vDMkID33QRM7C9Exvayd1zwWpsw6d/Q9PR5gUDp9xPK7OMMMvB/6VrwQB+A7Cx61u7746Lzl5oE7MbvhvIjOvriomza86OgiPOH8sj0WKAG8Y8uYvHXx+DyflC89ecLRvLOlAryS8QA9Em/6uyF7Z7xuHn+8zGpPvEPJbzyrhYU8BpuDPDrCaLwQiZS9MKOPvI4gqDzIaC48iunVOwF9p7wGNQo8yDP9vDh2ibzqA7q7ZGWfuwIXLr1DL2k8fi0xPappSj3iljk8f155PDDUVzxrtmS7fF+duwrqpztLHh682xDDvAseNTzqaTO8R5pIOwi2mjy9d1i8EqQrPZwslTw/x867JLK5O9543TuFZqQ80dUuufkn+bx6kYk58aKmvBkOZzzSCTy7h8t5vOkcsDyeeHQ9PuDEPM66lzoSV6i8JUxAvWJ+FTzVpoc81fOKvGxQ67sr66w8lNdmvAbohjvntBU8WkLdPJ0TH7qdEx+8R03FO5ZAJb0B4yC7XUT+PJyq4LzL0Mg8z6GhO78s9rwPPBG9o+NTvLaLaLyYWzy7jwcyugfPELy0V9s8Egqlu7r2Rzopahy8IhXuPB+t07uwu7M8VL8rPP7HCbwqgu68A/63O0zQ9rsnT4U8gZXLOxj2lDzerQ48u93RPFJXkTq9xNu70dUuvFDu0ryk/447vvjovMhorjtpaoW8Gd2ePL3EWzoHmt+81b5ZvMUx3Dz4KJ07NnNEvQea3zw0pbC70ry4vGzq8TvMBNa8n+GyvFQlpTycLBU9MYoZPGRlH7uKHoc5Cx61PNj1q7uaqD88SgLjuydPhbwXXI48Mu/uPDQjfLzFZg28KR2ZvE2GuLx7K5C8jm2rvEi2A70mgM07yx1MvJ3ebbzNIBE7b9TAPKXmmLxB+9u8qTU9PKWxZ7tvh728l8G1vN3e1rwZqG27g5iQPPzExLwQiZS7U9ihvLe/9bxCZJq8vi2aO+RkzTxxCE68IBaSvPXAAjyyiUc706NCvdyqSb3B4je71IrMO+Wx0Lzt0c08fUanPPCGazzo6CK81aaHvIxq5rzv7OS85s2LvK64bjufEvs6Q0ukPB6VAT3lgIi82FulvHqRibyaj8m7sG4wPVXX/byXJ6888CByvHn3Ajmiy4G8F1yOvfanjLw5KOI8rQYWvODIJb1fR0O8uCi0vIPlE7zRIrI7NT+3vF3GMryKhIC9lvMhPLSMDL0p6Ge8BDLFPFGIWTxR1dw8kgnTu6bldL3/eoY8fKwgPGPLmDyaj8m8MG8CPIBhvrzP0um7z6GhOXyQZTwCyiq8nJKOPJE7Pzy9XuK8I8svPYCuQby0jAy8zjhjPDkoYjw0I3y5DLi7O5Q94Dsxihm9L28CvRj2FLxZqNa8colePFBwBzy2Je+7vZMTPZt207y9XmK6K7efO9BUHrx0P6C8+qmtPAUZzzw+4ES84+O8PGNJZLypgkC9O/Z1vFcnxryHy/k7lycvvDmqljwxipk8yrWxO+joIr2Uv5S8tCPOu/9hEL3ge6K63WCLvLysib0y1xy8U4uevMWzkDx+4K289KTHPDHwEjsJA568krzPPGkdgjt59wK8xsviu6hOs7yb+Ae7HhNNPO46jLqM7Bq791nlPID7xDyu7Z873kcVPUoC4zpINM+7a+uVOwtruDsClXm8vCpVPLi/dbzEf4M8lycvvb9hp7x9kyq8MtccvIoeh7qFGaG8LR+6uJYLdDyd3u08WtzjvM2GirtzpZm8Q8nvvF9gObortns5gGG+uub+0zts0h87jdMku3vFFj1zC5O8Yf2EPDpcbzyOnnM8et4MO2e0wztsUGs80AZ3OSGwGL0FzMs7Qi9pOv8s3zz5jXK7qJu2u4BhPryNBO25bWymvFDWgLx/Xnk8mfVCPGkdgjylsec8wzKAvN0TiDyE/WW7JjPKOmCwAT39d0G83HmBO9QMgbunf3s7cr4PPAsetbxFzLQ6d1o3vKuFhbzK6b68XSwsPak1vbzfLp873HkBvUi2A7zwIPK8YzESPJI+BL0E5cG8tfFhO38UOzy7Q0s75eaBOgOxtDyvUvW6LblAvWzq8boL0TG9Ahcuu8TMBrxr6xW8NYy6PGkdArxyJIk8l3Qyvdx5AbwJzuy73ROIvJVZGz3eR5W7QcoTvZ549DyuuG48Rb0ePNfhyTxY1PK8wTQvOTWXzzwTK6m8Y4fLu/2wIjxRkP+8nwvhvEQA9zxqlJm8aP7SvBCRUT2tVIA98sYkO9p7Ib2aVRI9p+EJvNUACT0NJn08fNLOO1tmqLskVYk8ww3OvDdw7jxmHRK9oaW4O3ZPlD1hsr27oODuO5tl1rw6Eui7jATRuzSPLTwg5iM8P4nvvC12LL2jfle8mYQVvRmisLyg4G69apAIvHOtGr3rfqC84ctHvAhoDD14LES6pUeyOgXWVj3tgjG8+R7tPORtQb1KLIQ9qOUavZjHbb1RdAi95TqtPMPOBj39fY68Y3uYPCUuKLtInl+9+hZLveR14zxcMxS8Me2zOrS0aj0YpkG8F8mROw3fkz0bRKo9mlUSvSj3grz2ZA292K61O7HPGLwuT8s8qsJKPD5xCbzW3Tg8fZMHvRGNwLwzznS7GmsLvcXSF71y7OG8qbIGPeKYMz2e94u8eCxEPa1Ykbx+r/674ce2vAMFWj0BJBm99nRRvYBBND3xAVs7XTu2O61kxD23SjG9K7VzvFjAHbyfC2E9wFsQPTkKxjxmIaO7R5IsvRMvOryANQG+4cvHPEW9Hry8vSc9xNq5O2qUmT14LMQ51AQaPCRp3rzrwfg8oODuO2VIhLz2ZA09a6BMvEEXlLvZfzK7rzXBPK1gs7xXzNA6m2nnPJqEFTyTTNU7W2KXvFGEzLskYby7IbsxPFF0CL1/eFm8bzICvITbiz1y4K67KdjDvMhwAL05+gG9pUOhO90pTj2CGlM8uuiZOxiajr02bN28rzVBvOt+oDxcM5S8sPqKuzSTPj1wE8O8ngO/vD55qzxSTSe9gUnWPIhWpLyz1zq83/5bPIIWwjwy5RG9jskaPTr6Abxy7OG7tm0BvWKqG7wkaV672XuhvPvr2DxXxK48B5sgvack4jpmIaM76B9/vRfVxDqLI5A7IcfkPPSfwzzoDzs8+9eDvYIaUz2ipTg8faNLvUwNRT3LFgs8PbRhPacQjTxATrm86dQEPc/UezuLJyE7SjSmvME0Lz1UFgI9tn1FPEpE6jxZjYk87xyJPeutIzxcP0e7wSyNO/vfJTxeBJE8MrYOPemlAbuTOIC9cuhQPQh4UL0wLPu67zBePLrwO701m+C7dXqGvCcL2Dzh0+m85kZgPQo9Gr2o7Tw9zsxZvFpqubyuLZ+6kkQzuZe7ujwf7sW8JwO2PETokDuGfYU9vMnavNCdVr0nAza9B6/1O7ZtAT0EzrS76eTIvJM8Eb0Go0I8izPUvKxUADx4Y2k8UkWFvCng5bz0p+U8kzyRvNqPdr2JUpM8w/2JPML9iT3XogK8wv0JPYorMjxtdVq9ZjHnO/Sfw7zN90u92K41Pe8szbujaoI8yx6tOvD1J70acy28rzlSPXoFY7wIfGE8P4nvPKcQjTzdXOI7bzICOygTerxvPjU8Q+whPSKUUL3Qoee8hbQqvf6BHz27+N078QHbuUeOGzz5Gtw8yypgPf+Bn7zTP1C9jPwuPCf7k7ueNlO8s6AVPSqlr7yy31w7SV8YuzO2DjwN82g7++tYPH9kBDxW6w+8e8abPLSglbzM65g70JEjPfkGhzxZnc08f2wmPfvnR7pPo4s9pUvDu8pd9LyKXkY8vL0nvW9G1zz783o88fk4vPL9SbsEAUk6rWREvQaXDzzreo+83va5PCj/pLwYpkG84pxEvOcXXb3x+Tg9n8yZvCUqFz1bbko8dk8Uvd0Zijzp7Go8EmrwvHV6Br2vOdI8SF8YPTEgyLzrwXi8XhTVOkInWLwE+SY9egVjuz+F3jwijK67iychu9IvDL1o/lK8kWuUPCLD0zwOvMO8uuSIOxtEKj2O0by8LW4KPS5TXLybZda8874CvVMeJLw0hws98Cg8PV4Y5jw3ZDs9xdo5vAXW1rrx/Uk9CkW8POyCMb12ln08HR3JOJBnA70f4pI8Cx5bPQ68QzyJUhM9H/LWO3gcAL2qvrm7pVd2vOq1xbwuV+0821RAvPkSujtGjhs9MrYOOK81wbuE24u96eRIOiD6+LuPpko87VOuvHO5zTxOp5w6gTWBvNChZ73F0pe96OA3Pf281bz8tDO8NJO+u0hnuj1zuU27T6MLPOcXXT2NDPM85UJPvBQnGL3aeyG9sRLxPCRdK702WAg9pG6TvVtmKL1x2Iw54cvHOh/qND3uS4y81DOdPJCWBjz4NQo9OEX8vO5LjDzmRuC8j9E8vYW4O73PjZK8ngfQvAQNfL13W0c9wDAePTO2jjrw9Sc97mNyvKxUgLtRhMy8UkkWvMsaHD2GfQU9vLmWvcwmT73GnwM967lWvHW93rxHonC71uFJPeHT6Tyw+oo7TP2Avd/qBrxLBSO9bWknPHV6hrvwIJo820iNPEaOG70KPRq8A/UVPFtehr3IRY49RAD3PJjHbTuGyP87Gm+cvKn1XjzqpYG9s9tLPXdLAzwrtfM8xp8DPVb3Qj1sZRY8Pn08vfrblDxlGYE8knM2vBfh97zKXfQ8mLcpvL+i+bvsitM7bX18PMBvZT2Ysxi9Rc3iPH9khLxrmKo7c60avAIgiL3uY/K9m2VWvQzfEzyOyZq8UlVJvQMF2rw706A8pUOhu40Mc7y3SjE8Vv9kPPvjNjzqsbS8jPwuvMTeSjyKK7I7f3TIvOcHmTuz06k8A/03PGJ3B7xBFxS8eByAvJQd0rwZqtK8KP+kvHdj6Txjf6m8vYaCPFGEzDvp7Gq7XQgiPNtUQDwwEIS6dk8UveY+vru69Ew8HFj/PKDUuzwMJn09KdhDPWugTLtdS/o8/04LvUosBLxBRhc9uSvyvEBGFzxisr08nwthO39oFT2FtKq8qr45u0hrS7y7+N28xuZsPEbFwDoAY+A8qbqoO50qoLxBXn08dpb9PHO1vDwwEIQ8Cw4XvR4NBT2ITgI73+4XPRb4FL0x8US9h41JvQevdbt/ZAS9++fHPCC3oLuTUOa8ElIKvTvbwjtmLdY84ctHvN0hrLshu7G7zf9tPa1gs7xRiF28rznSPEBSSjyMBNG8iU4CvQhoDD0LDhe9eTj3PDWbYLzAMB69bW04PFMak7wilFC9RPjUvM+JgTzD/Yk8HDwIPfvz+juHwF28hPNxOwdsHbtXyD88odAqPJ0mD7tBF5Q8QVbbO3k49zwkYTy9mLMYO8oanLv2cMC8nGFFvKR6RjycYUW8VvfCPPSTkLy9hoK8qsLKu03SDr2ptpc8phQevRGBDTxV8zE9dLGru8hFDr0mJga9v2OyPA3nNbybUQG9hsj/PE+nHLxOowu7wgk9vByD8buz5/47iU4CPFqVKzz/lXQ5IPp4O87ENzvshkK88Ci8PHAHELwilFC7h4GWvOmlgbz9fY68Gn/gu7AGPr04RXw8pxzAPD59PD2h3N27Og7XPPH5uDyCCg881RTeujWXzzyuMTA9t0IPvQwmfbv/lXQ86rXFPI+eqD2imYW8dcHvObzJWjvnCyq9f3TIvIsnobtRfCq867G0OXkgkTy/YzK9z9T7PLEO4DoQhR46MumivBfZVby2ifi7dXqGuos3ZbtO5mM788akPFNda7y8ydq69ZehPMpd9LvF5uy8OhLoOuY+PjwcQJk7d1vHu6K1fLugyAi9P4nvO1tehrybaec8d2Npu4IeZDz2ZI08Of6SvE3WnzxvOiQ9SkRqvDn+Ej3M65i9wURzPDSPrbwsdqy8pEOhvQejQrvdJT29BA18vEz9AL2ZhBW9tol4vH5sJrwJQSs9Cj0avFxyWzwy+WY65j6+PHLsYT1wC6G8bj41vT91GjzJUcG7BpcPvYWwmbwjhAy8MumiPOno2Twp4OW8TAWjvORxUj0UM8u8yYjmupBngzxRkP+7gEVFPaYQjbqbYUU7z42SPPZonrw+cYm9++fHPFb3wryE24s8MfFEPMTi2zvG5uw71QAJvevB+LzUCKs8FsUAOlJJFry9ipM742GOvJ77HL06Dtc81RjvuT+BTTxy7OG85wMIvBmuYzye+5y6rJfYu7rombwx4YA8jcUJPBJevTrmSvG8JF2rvH6v/jzIRY68wCyNvMiIZjtXyD+8hawIvfrfpbpBXn08UYRMOif7kzt2lv27NYscPUTwMryHfYU7LKlAPHV6Bryy0ym8CUGrO/SjVLyh3F07BdpnPN1c4jsdTEy87IIxvTAQhLsM2wK8PKCMOrECLTwD/Tc8yU2wufPaeT2Rb6W8dpZ9vAwOl7tcL4O90nb1O/+V9LrUM528H+KSvF4AgDwNJn28xp8DPdJ29byptpe8qbqoPKKZhTwae086x6u2PNft/Dyiqck8BqfTOw68Q7zp6Nm88r6CPGfyn7xTGpM77zBevB0Nhbx0vd47nCaPOy5X7boUL7o8gw6gPE+3YL10we87QifYPI3FibylR7K868F4vCHH5LxBSqi8ROgQPZbuTjwuV208sg5gvEP0Q7vhy0e5fZ86u0owlTxKPEg8NIcLvf+VdDyy0yk8ZEyVu/vz+jyHgRY9EJXiPG19fDzLIj480JW0PPPaeTtmHRK8GWuLPIPjrbxUFgK9TAm0vAFbPrxDH7a8XUt6u+DHNjzad5C8XgCAvG5GVzuSOAC7/agAO+mlgTwMJn09qeWaO6DICL08pJ28CklNPNQIqzxIYym7kzwRvaKhp7yg1Lu7iiMQPbgbLrso9wK8a6DMPNbZJ7v8tDM8/aiAPFt2bDyUGcE7s5wEvU+3YDxL/YC8o3rGvEhbBz04Rfw62K41vDPCwTnvKDy6a6huPPvfpTwHbJ07gHzqvOqpkjve9jk9gTmSvFiRmrxW64+6yyK+PHALIbwUJ5g6kGeDPFMakzxrnDu9z7yVPLzN6zyy39w7XDOUvMTiW7dSRQU7WpUruThF/DuHkdq6zsjIvKyDgzxTXeu84qDVPC1uijvKTbC8qOmrvJjHbTvYttc7KP+kvLD6irxCFxS9fZ86vPdFTr2w+oq8TAWjvDZozLx1eoY8sAY+PWVk+zyqsga8uBcdveKg1ToDNN06El69vPEF7LsmPuw8gVF4PNFeDzzo1AS84dNpu0pv3DwQgQ295kbgvFNNJztCEwO9xM4Guz2w0Dx5OPc8KAdHvcEsDb0oE3q87YKxvKVX9rv8uES8pxgvvKK1fDzSdnU9EMh2PenYFb0f7kW8GJ4fPEW5Dby5K/K69nBAPI7VzTzuY/I7moQVPB/uxbuOzas7lEhEPWj+0jtMAZK763qPPNi6aDzJUcE8rlyiPBs8CDxFyVE8dkuDPMh4orw/eas6M74wvGkGdTwo94I85xddPBprC705AqQ8EJXivFxD2Lx6/cC7vL0nPbHLB71W6w+8ZUiEu2YhI7xzqYm8bj61u4BwN7xSUbg8LHq9O0wJtDze8qi8STAVPTZozLyf/628ROgQPEaSLLyAcDc7lvLfPJjHbTxN2rA8DA4XvKNyJLw706A8NJO+vCqhHr1g7fM8RclRvEhbhzwUN1w8RbkNugl0PzsvHDc8vooTvMdwgDyRe9g8vM3rukee3zyOyZq8kkCiPCncVDxtbbg8rnB3u/DthTzrwfi8NIcLPcIBGz2NDPM8g+MtPFb3wjuQloa7jfgdvGDt8zu9kjW81tmnPK89Yzwgt6A7z4kBPHzSTrupthe8rnD3uqyHFLxBVls7l7MYPEwFo7uxAq07OvoBvMseLT2hnRY8iyMQPDO6H72yy4e7xNYoO90tXzsLEig8CjkJPKYcwLtFzWK8uR8/PEz9ADubaee8+tsUvU+vPr3TQ+G69nTRvHnxjTw3KQW9RAD3vPgGBzsLEqi8lSV0vK894zvQ1Hu8HEi7u1iRmjzIdJG8oODuPLLby7yitfy8B2iMOsa7ejsYpsG7K6nAvJfmLLsQkVG8P3mruq894zxiqhs8m2HFvEFKKD3mMos8iJXrvJJAIjzOwKY863oPPGq/i7zgvxQ9FgxqOix+TjzQndY8JFUJPGDVDbwXyZG7F9nVPMIBG7zBRPO7uFJTvJpZIz2KXkY8fq9+vfDxFj2uXCK6VfMxPSUyOTxLNCY7sRLxuzhF/DqV3go8M74wPGGuLLutWJE7FC+6vFfIP7vqsbS8sArPOz55qz3oH/870IkBvSSc8jxxE0M86NgVO0eicLxAUko8SXd+PGVk+7zHfLO8hayIOwzfE7xD6BA7egXjPBs8CLw+dZq9yx4tOltmqDzVAIm8fq9+PKYUnrxN2jC89WgevejYlbx0sSu80JEjPGxtOL35Cpg6uBsuPbdCDz3/Vq08YKYKPN0x8DxQgDu8gHxqvPrbFL23VuS8QUYXveyCMTtMEVa8660jPHsBUrp6BWO8I4wuPW46pDvhlKI8hevPO4eFp7vdGQo83THwurPTqbxJMBU84PrKvFJFhTzEzga8SFuHvPkaXDwEzjQ9SkTqPGYho7fW3Ti8R6LwvDSPrTv5Hm08uBMMu+HT6bxp/tI64ZCRO8bmbDyLIxC8SFsHPe1PnTt9k4e8yHgiPI7VzbwxJFm8GKbBPKVLw7zbSA09nSaPOn2jS7zIfDO9VfMxu0wZeLubXTS8K52NvGOHy7sC8YQ7bjqkufK+AjxHlr27z40SPcsmz7r1lyE7GaIwPHR+FzyW7s68vYYCPBCBDb1g7fM71DcuPDdwbjyJWrU8ssuHPFi8jLvUCCu8tLDZvH6v/ry+ihO7asOcvFfELjzo1AS84ZCRPGRMlTzUBBq9cA8yPITfnDyCCg88c60avVQq1zxMGfi7JjbKvEPsoTufzJm8lA2OvGVMFT3p2BU9mpz7uuRpMLzW2ac7UHSIPM/U+zs5AiS8G3c+PAzfE7yUGcE8Dee1PJM8kbosfk68gw4gvF4YZrzimLO6a5y7vIhWpLwTavC7OxJovGG6X7xbYpc87U+du6yTxzyQmhe9S0BZPJCiubzfBv68BdrnvIwAQLymFJ68asOcPFQmxrx8zr260zu/vE3SDr1YkZq83THwu6cQDT25I9A7KPuTvCRpXjzppYE8H96BvCut0bxmMWc6Lj+HPBQrqbmqsoY8LUOYufZkjby0tOq7fadcOuHT6bwo94K8CUGrvCUyOTyirdo79KdlPKm6qDyjciS8jcWJvHZPlLz5Gly79JsyPQMBybsZmg48vMnauThFfLxO0g68wG9lvQMBybwx4YA8kGeDvFMaE73gw6W8w/2Ju/Agmjs9sNA8A/03O4ovw7pwBxC9Ga5jOwl0v7wg+ni7bzKCPF4AAD1mHRI9mZBIvH90SL0QkdE885MQu8avRzvkaTC8QReUvHzSzrxXxC68xdaovH5spjtW/2Q7ZFAmPJezmLs4MSe8OHBuPV0zFDoN8+i7KMwQPHR+FzwHbB08CTmJPNDUe7xHovC8JTI5vby1hbyuLR87tnWjPL6a1zy/lsa70m7TPMP9Cbw6/hK7W3ZsO/SfQ7srnY26FfiUOwQN/LvN+9y8qOEJPeqxtLvXogK99KflvFJFBbyBRcU8QRODu14QRD2/Z0M8SXd+PORtQb0wFJW8rjEwvBxAmbyyy4c78PUnvBieH71eAAA5yVFBOxpzrTx3Y+m7XgyzPGjuDry/WxC8Mu2zPL9bELzZe6G81QAJvKm6KLwuQxi8mlkjPFwvg7kvT0s8mLcpPJCu7Duqxts8+98lO8WfA7yqvrk7ZVzZvO8cCTzIRQ488e0FO9UU3jvQlbS6+/P6vIBwNzrcHZu8ZEyVvDdwbjobg/G80WaxPBMrqTzZskY8oNjMvDO+sDuM+J28uSNQvFfM0Ls9tGE8zf9tOowE0bs1hws8IsdkvCcDNj1wF9Q7zrgEPZtpZzzOxLc8bGWWu6GZhTlATrk8mYSVOfvz+rwF1tY7B2ydvLvkiLrTNy66a5QZOsMFLLzBRPM7ZWT7uy8cN7wx5ZE8dk+UPJwuMbupsgY9VCK1vME8UTsX1UQ8TA3FurV5ND3x+Ti7P0IGvCnUsrx+r/47PKiuu8AwnryJlWu8EJHRu0T41Lxg5VG84ctHPb6WRr3qtUU8bGUWveRx0rtIX5i8VCbGPATGEr2VHVK8ZItcPGclNDxMGfi6kWsUPPZkjTx/eFk8LHo9vfEB2zwQiS+9WLyMvD2gDLxsaae84pizuxxQ3buFtKo8JwvYvB4Rlrzyzka8KdSyvOYDiD2imYW8j9nevJQRnzwZorA8wPWMPIC8VjxES2O9A4FRPJX1Hjwe2ma84XKBOw0Eyzwt6VO8Xj/ivNytvDz899u8ztGkvCX+xTx9lo09bh+MvL7CN7rT8fE8EJk4PA06Hj0FTxA9CUaWPJH+GDzCuT28GYRGvJ5CRT3P/em8DWnhu6DasD2uUbK89Ke3vL+/ubzZ7Ak8VCuNPFfsvzuhnuE77FcTvSX+Rb3uHkK8z84mvSQ3l7sZUgW9fl08vGjC27ygPMm7v/gKvPqYQT08MRK6kJwAu4DyKT3aGM+7VCsNPcNRKb0LQBo9J8yEvdbyBb1deDO9Uif7NAZ71Tvi1Bm8KC4dPaEDeLjcrTy949EbvSQBxDy03SW8OGnPuyKiKT0FtKa8q4bxvICNkz2IFok99toMvaYt07uKEA29eGyyOQVPkDukM8883aq+PGxUy7w9wu08t55YvSooIb1owtu7JJwtvWsoBr2tioO83qfAPCTSAD1Jq5E764bWPNX1g7zsVxO9r3r5vOIDXT04aU+9ytoevbg2xDtxqms7huMzPKhgqD19lg29lFo1u43Rv7xtIoo9B66qPPFLGzwChE+8uf3yvFQrDbo21OG9Ufu1OkSw+ToAW4g8dBAWvI8ElT2W8qC6LuZVPLyS4Ly5/XI6vcW1PBciLry3OcI8f1q+vG4fDL1jM2o61fWDPOJoczvPzqY7zNcgO8l4Bj3MaHy81vIFvQV+0zuH4LW7DD2cPIhCzrxZhCu87LwpOuRidz3FFdq7zjY7vRQoKrwsUei8eKKFugYWPz3Qy6g8F1iBPL6MZL3YVB69zGj8Ox0//Tx5abS8PJYouyyHuzz9yJi8D2PlvNnsCTznYwu9GLqZPOu/p7zH4xi9F1gBPBeHxDw3bE29OpwkPTJ7Q7x++KU7vcU1vIw51Lvlzp28KvLNvLF+Cz1QNAc9JTSZvFMuizzu5XA8EDSivYcP+TuVkIg8LuZVPHae8zzC7xA8KC4dveokPj3dqr48C6UwvcwD5jzoxaM8LenTPBdYAT0B7GM8Mq6YPDZvS7wFTxC8Xd3JvMCGaD0DgdE8cRkQPBA0ojwI2u881oZfPWhgwzs6nKQ8hOmvPBQoKrswfsE8jjNYPZzjqrxuTk+9XtpLPWNpPb37yxY70/HxPEexDb3pJzy8P1fbPJZXtztQ/jO9ummZPSjJhrx/9Sc98HreO22HIL10P1k8nniYvKzvmTzKbvi8/ZLFPPAVyDpD6Uo98eYEvRnmXr3sVxO9RBwgvNvmDT2JeKG7vcU1vBQoKr2216k7IQfAvJaNijy9+4g8o/17vHcKGr1d4Ec8Xq4GvdytvL3UjNs72t/9PD+8cT29xTW5RkVnPVOToTt2OV291ut1vH9avryfCfS8zTk5PUXjTrxce7G6bSIKvOmMUrx6ASC8MBkrPWorhLygPEm7qcLAPEV+uDxhb7k8xXpwPLzIs7wbRfk87CFAPa5RMr0T9dS81F0YvVKWHz19lg09psi8vLsBhTyZTj08FPJWPZWG+rxcqnS9EsJ/PDeioLxOOoO8q40BPQ83ILzzdGI8zANmO3BIU7zFevA6TwEyPKq/wjxttmO8REvjO3VyrjsDVYw7NagcPejFozzU+IE827A6PWcxALsn+Ek93BLTu8WwQ71EHCA8DZ+0u9zjjzxDugc9aGDDvJ0WgDsFtKa7bk7PvO8YxjyBVMK8eTPhO222Y7yMnuq8UsLkO8wDZr0oLp082FQevRmExjyhA/g7Dc73vJRaNTwn+0c8guwtvBSNQL2+jOQ8DKKyPKu8xLwM2AW88Hreu7z+BjycD/C6g4eXOp/aMD0Vw5O8Sg2qvH+QEb0NaeG8wOt+uiVj3DydRcO8S3JAPK96+TzDUam8QMMBPYJRxLznyKE7+dESvRvg4rt2nvM8w+wSPVpLWj0dP309hbDevAW0JjwPyPs8XONFu4mk5ryJeKE7bbZjNfr9V7wshzs8JAFEPZCS8jtsVEs9WhwXPCX+xbzD7BK8IqKpvJmEkLzfQqo8RbcJvfqbP7xhpQw9vfsIPHnOyjv4aGq9AFsIPN7gkbzoYA08tzzAvGCoCj2JP9A7bIqevLNCPL2TjHa9r+mdPIZIyryNNlY8fcLSu1aKpz0csR+8chYSO4C8Vj1XUdY8w1GpPL7CN70/vHG9C9sDPCVjXL1HsY08kJyAvSDU6rtDHx69MnhFu4wKET3p8ei8/FxyPDuZJrxPNwU9bCUIvXmfhzwZtxu9ReNOveT94LwdP328K4o5vBRXbb2HD/k89aQ5PRQoqjuL1zs90/Fxu6uGcbyoYKi8k4z2vMAh0jwx4Nk8estMvaVmJL1iByU9l1S5vBYlLL24bBe8g4cXPKM2TTxwHA68a/IyvU+cGzwSLia9xuaWOhgfMDwrwAw8SK6PvAG9oLy2chO8kGatO/Tdir2v6R09OToMPa9ONDuvenk5VoonvdUkxzt2OV29CHXZPG8VfjxZsPA8fSfpPKA8ST0btB08BRk9vfkA1ruLPNI8xRVau2CefL19lo08otS0uqUBDjw9XVc8q4ZxPAO6Ij1CUV+7lSHkPHJ7qLvk/WA8l1S5PHuSe71M1Ni9mOwkvW2HILzvG0S8zjY7vRmExrxJ2tQ8dN3Au29LUbym9/86Z5aWPODalTyhnuG8yHsEvWvysjvzD0y7nniYvPHmhDygP8c8RrSLOz4rlrvep8C51IzbvNt657xBirC8pGkivRnmXjzc4w+9Pfs+PKYt0zu3A+87zzM9uyVj3LtvgSS8vl0hva6HhbtKqJO8E8YRPU46Azx2qIE9jG8nPb6MZLzsVxM9+zAtvfwtr7x/kJE852MLvfHmhLtknxA97lGXO8xyCj2AjZO8kf6YvJLFxzpqvN+89tqMPL+/Obw7NJA8YdRPvPOqtbxOacY8ACU1PS29jjxJq5E8l4B+veZc+zwZhEY8yqRLPfnRErz8LS+9PV1XvTk6jDz03Qq9BkySPL4nzrwoyYa8H3JSvSXPAjsg1Go8LroQvFaKp7xQLfe7uf1yPRRX7bwmlrG8LFFoPdceS7vONru83EgmvUElmjyVhvq8bk7PPBi6GbwCHzm9OGlPPGMEp7yOzkG9XqR4vHIWEj3h15c8gLzWPMxofDxWVFS8boSiPDVDhjzIewQ86Sc8PH5dvDnddOs8P7xxPMiqxzwUjUC9aZCaOzwxEryy4KO8vsK3vCKiqbu7MEi8hRwFPf4qsbyoJ1e8SdpUu+xXE72iCgg9epwJvW+wZzxCUV89Xq6Gu76M5Lxokxi96l2PPAbg67vibwO9MLQUPd1FKLwDS367djndvEGKMLwoyQY7AFsIPd10azvTYJa8r7PKOyxR6DueeJi6zmwOPVfsPzywgQk8RObMvDFMAL3U+AG8yHsEvJoV7Lw4BDm8P42uPGJsOz3yEkq8MbEWPRGWujx7yM66ytoePG5OzzyLPFI9o/37vNX1g7xEHCA8nniYPGGljD35Nqm83BJTOw3O9ztDIhy9ogqIvO+zLztcqvQ7huOzOyTSAD3Nbwy9q4ZxPHQQFrwFGT08JJwtu0LsyLtLckC8xbPBvPmePTwvgb+7Lb2OPPfXDryN0T88BU+QPAulMLxG4NC8EDQiPFxFXjwLpTA8f5AROtgbTTyeQsW8QPJEvMjgGr3iaHM8j87Bu6fFvjxPN4U802CWvM+YUzzJp0k9Is5uvMlCszxd3Um91vKFO7sBhbvH45i8Q+lKvf3ImLyjbCC9NQ2zu1H7Nbwx4Nm8IKWnvMp1iLxlLe48XBabOx9Dj7qVkIi7sUi4PG0liD3UjFu8kJLyvDc9Cjsafkq8VfK7vBL4UrxgDSE6Zv6qPM/96TzGsEO8KldkvDgEOT3insa8xUstPM42uzwB7OO8fcJSPXvITjxAwwG82k6iPCWZr7u6aZm9VSiPPDv+vLxLOW889toMO1bvvTxeEx08tzzAvI7OQb1bfi89q40BvDgEubvmXPu71IzbvEYZIr3uUZc8KvJNvF14MzzRkte86l2PvHAcDjwDVYy8hOkvvF91tbw8+748BU8QugS3pLtES+O8cX6mvNVaGj19J+m8o/17uoQV9TpCIpy8qyFbvbAV4zvkmEo8W+ZDu0W3CTzXubS7vMgzPYDyqbxjBCe8wlQnPAIfObmQnAC8XKp0PFsZmbuly7o8zmwOOqzvmTtcqnS8pWakvD+Nrry+J068KvJNvLtmmzxHFiQ7vMgzPEkQqDyp+JO8sqpQvFRaULxoJ3K9N6KgPPz3W7zQlVW9IKWnuw3Odzxi0dG8AVF6uvDpAr1MpRW952MLOyQBxDy+wjc8ayiGPPdo6jyIFok8AMAePH6TD70driG82ukLPaE5y7v22ow8hbBevBOQPrzkYnc8VJAjvOZmCTnw6YK8vcU1Pa0bX71Hezq8XXizPB14zrxok5i8mOykO0AoGL0rwAy8dtfEPAirrDyxSLg8yadJvKtXLjwPyPs7aCfyvDQQMbz+VnY845tIvTalnjzFFVo8h+A1vXyZCz36/Vc99QnQPICNEzxeP2K7+mLuPHxgOrs0ELE81ryyPBTyVrxXUVa8vMgzvH6TjzwNOp681b+wuw/I+zvaGM+85jC2vKxUsDu3bxU71oZfvHuSe7u9xTU9ayiGvNEtQb0dE7i8Mz90O2q83zx0EJY8UP4zvYSEmTu4NkS7k/gcPSn1yztgDaG8x3R0PGUtbrygchw6cX6mPPGwsTx4ooU8RrQLvfLZ+Lcyrpg60mMUvYkTizzDgOy8zJ7Pu2E5ZrxcRd67DZ80PL+/uTyQAZc8INRqvEOENLujNk09pi1TvGbI17pgcje8a7zfOu8bxLwlzwK8Qe9GPKr1Fbve4BG9PJaoPLR4Dz3+xZo8ec5KvHXaQry0CWs8SqiTu5rmKDwK1PO7uNGtvGorhDw/ja68hbDePHaeczzkYne8x+MYvFWNpbuA8qk827A6vAzYBbxhpYy8hw95vIQfA71mY8G8LkvsvLyS4LxhOWY8MLQUPTZvSz2dFoC8HLEfvUXjTjsHSZS78hJKvJP4HLz+j8c89N2KPPr91ztv5rq7gFq+uV14szza3/282rO4vLyS4Dobe0y9QlHfPNytvLt7Y7g8+Zs/vcOA7LwMB8k7jdE/vLv3drx2qAG89qG7u0l1PrqbFWw9Sg0qPTUNM7wxfkE8lSHkPGTL1btBtnU77FcTPF4/4jzjm8g83Q/VOz9XW7zYgGM7lL9LPXelA7ty4D69VY0lOzFMgDzMcgo8FyKuPEd7Ojwgpac8Mz/0PA3VB7zBV6U6ogqIvI4zWLzcSCY5aC6CO6A/x7yDIgE8bbZjvF3dybzCub08e/4hPSBv1Lxi0VG7Mq4Yu22HoLzr62w7yd2cvHst5bw/V1s8CUYWPEKHMj1ibLu8Dc73POObyLzP/Wk852OLu3EZELzSY5S7yKrHPGUt7jtgcrc8UjGJvMV68DsdE7g7JZmvvPg5J71xGRA9WCKTu3aogTzpVv874D+sOxe9lzudqtk80JXVu/uVQztsG/o8XxCfvO25Kz0AwB694NqVPPVuZjznY4s8VlRUPIFXQDzaszi9eWk0PeHXFz0pkLU8rYqDPNt6ZzqEFfW727A6vCn1y7psJQg8VY0lPPB6XjwBUfo7qPuRujF7w7wg1Oq7wu+QPHAcjrz8XPI7YaUMPP1jgrxioo48yA/eu4Z+nTyxSDg8ZS3uO75dIb0fDTy8ZS3uO3R1LDy8Lco8GLqZOlocF7y+J068qfgTPUO6hzuIQs68D9IJvY8EFb0DVQw85/dkvOVpBzwCWAq9arzfvBbAFTye3a68U5OhvL0qTDsfqKW8Y2k9PO62rTxOaUa8kJLyPA3VB73FSy29NqUevJJgsTwmljG802CWvMMb1rscsZ878w/MvIZ+HTz50ZK8Uif7vHiiBT2HD/k8fvglvboEgzp6nAk8oQP4O4FUwryF5jE9VbxoPNiAYzzKP7U8b7DnPOAJWbsQNKK87bkrPEXjTrx9J+m83qdAvAEiNz1ibDs8/PdbvfAVyDwNzve8w4DsPGaZlDy/v7m7+DmnvPnRkjqnKlU7glRCvPDpgrziA927jNQ9vBxMCTwdSYu6wfIOvGIHpT3LPDc8uZjcvKJvHj2RmYI8r3p5N6u8xLkBIjc8REvjPP/CHL39Y4K8izzSu5WQCLxEHCA8DTqePDAZK7sTkL698w/MvHaogbvLPLe8BBy7ujU5eLzhpMK8zjY7vfmePbxaS1o7RrSLPPU/I70xRXA7HBY2PdqzOD3YVJ48mrDVPGCoCj2n/o+8pJhlvMpueLwEt6S8ytoevelW/zvkbAW83XRrvC7mVTw4BLm79aQ5PV+riDsqjbc6iEJOPHJ7KLvp8eg7J8J2vIgWibzWht87/sWavEPpyjweEDo8325vvOfIoTwCWIo9IAq+PEAomDxrjRy8u/d2vEG2dbuDh5c8L4G/u0a0i7y/+Io6M0kCvCvvzzuAvFY7TjoDPbn98jsTxhG8dtdEPEiuj7y6aZm7t55YPJWQiLzUXRg9iT/QO2Rmv7zrvye9sOYfPLTdpbzbsLq7k4x2PPyVw7uGfh09k/icO2/mOrvjnsa7VoonPfxmALyqv8I8z86mPHlpNDwpvPq7GRyyuzkBO72LDY+7lvIgvEYZIjyv6Z08K8CMPFYlEbywFWO8kvuavANLfrxmmZS8rO8ZvUSweTu5BwG9AFuIPG2HoDzY74e8ACU1OzZAiDxpkJo7ttcpvZgb6Dw2CrW8M0mCvE83hbuV9Z68JzEbvT3C7TxiByU9snR9PDkBu7tE5ky7OM7lO/uYwTtwSFO8HqsjvHyZCztiByU8Y2m9O4mkZrrnY4u8uf3yu6aSabyfCfQ6UDSHvMNRKby5mNy7pQEOvCjJhrx8xdA8QoeyOmoh9ju0eA+9DWnhPIgWibwK3gG9nA/wvBmByLsTK6i8vJLgPMzXoLzO0aS7qCfXvBWKQr0WUfG8iQl9vLXaJz0bRXk7oQ2GvAulsLup+JM8vfsIvf2SxbyIQk48PV1XPKByHLvkYnc7LrqQOgwHSbz5Nik8d2+wu1A0h7zbS6S8bbbjvPNFHzzK2h68VfI7PE46gzx1ci68t2+VvAreAb02QAi7+s4UPb5dIbsgCr48dtdEvMzXILxmmRS8XKp0vdjvh7wAW4g8BkwSvRp+Sr3p8Wi81ut1uiClJ7z+YIQ8ZshXvBRX7bu8/ga9S9RYPBlSBb2LPFK82OX5O3xgujz8La88/Pfbu08BMr3p8eg8lSHku8raHjxqIXa8Ul1OvFq3AL3rWpG76cIlvJmz07sQNKK7TgSwu5gb6LqcfhS8mrBVPUXjTjxC7Ei7QoeyPM9pELxxGRA7I2nYPJ3gLDzMaPy8uNEtvU83hbwTxpE7hw/5PPxmAD1xRVW8UC33PFQrjbyvTrQ7UMhgPNrffbwyrpi8fMVQPLk2RDzD7JK8NBAxPdUkR7zuURe9/FzyvJMn4LxrjZw8AFuIvJe5Tz0ZHLI7l4qMPJ2qWb3Y5Xm8JvtHui5L7LwOAU28h+C1vEMiHL2Xioy6YtHRvMWwwzxttuO8qfiTPK6HhbznyCG8grbaPMOA7DsZ5l68TjoDuzSrGrzoYI281F2YPHF+prlvsOc8rLnGPD34QLuxSLg8QMOBPNytvDzc44+6EvhSvABbCLzf3RM7CtRzO6y5Rjve4BE8k12zvFyxBDyrvMS7SwqsOz/yRLvTxay8HtpmPLnOrzy1eI+6sX4LvYcPebtok5i8JvvHOc05ubkfqKU8u8uxu6ZjJjwSwn88FyIuvHBIUz3kbAU7DQTLPCnGiDy8Lco82OX5Ou25K7lrKAY9BLckvDcHt7xok5g8XhMdvDc9Cjxce7G5AIpLOy29jryVIeQ8ruybO3lptLyfEIQ7ozbNPNpOIjrRLcE8estMvFW86DcpkDU8t9SrO5X1Hj0dSYu7hYGbu5OThryly7o69N0KvBWKwrwDgdG6rRtfvN2qvryze428TKUVPRH7UL2a5qg7oHUavXyZi7z103y8/iqxPIK2Wr2kaaK8pmOmOxlL9TqSlgS7pDNPu2ohdrqEhBm8SasRvfz3WzySyEW9NtRhvGJsO7pPNwW8wFqjPOI5MDzinsY8pGkivZABF71cRV68/iqxuq96eT1GtAu827C6vDPaXTyu7Bu7bPCfPDmSITw8LPO82VRoPJVNuDsuPyu9RxwavWnipbvMkCi9aypnvbPcQT1+iJK89gUKvbHE+Dw8d5M9qniMPI2NIzxH85E8DP6GPMrsBzw/XAU9JOy0u5AghbySaMY4Mk0lvZucAz39hE29tIDiPKOFoD0kFb27Xj0fvXvMKL1vg4E7M00lPHReJD3RlNM8n/yNvFbPGr0YzJW8Qx9fvUL21rwA76a9ZAeDPMWdvLuDvxS9fTaCu1pYLT03/z+8c0ZbPB4iUT10sLS8WO7TPE+zJrytEt68lKkXvfDplbxWz5q97ASkO+REjzwNJw+6gm2EPZmEujua1sq6uAIFveW/p7zBFCo7XRSXvEVgMD1rKue8G7GHuyIfjDsfxnE9fwMrvUhuKjs6DTq9MDXcug9vULufse08uCuNuzRsXr0lkFU88yCYvK9TL732keG8L+0avWEA+bxZtAy9Xj2fPCf6LrttGai8Tg8GPehSCbw+lky9mYQ6vZfxWD2e0wW9bzhhveWWnzyyxHg8G9oPPP8Xrz2XQ2m8m5yDOwgqVL0VOTQ9w6cLPIM6rbwCiXi7F1jtvI0Ze7wtmwq+XRSXvO0tLD1kMAu7qsqcPEsqFD3ZyBC9/koGPS3+WbxHoQG8g4y9u7gJ9bziAz49o4UgvR6/AT14EL8778ANPRZivDvsiYs76c2hPDW+bj3IMB47JjR2NqVSSTwVbAu8Ri3ZPGBc2LzkIne8htR+vCFZ0zz0m7C6d2wevfG2vrwQPHm8yFkmvKFtVz20V1o8+hp0PM8q+rz5TUu81pj+vPDpFT2n5Sq7eiiIPNwQUrx7zKi886xvuyTDLD0s1dG8XE7ePHvMKDwGC5u7Yu85u7KKMTtODwa9kj++PKB3prohWVO8ySZPvd6js7x5Oce8pAA5vdgC2DstcoI81143vVuBNTymGAK8XaBuvSq2GDwGCxu6TSBFPOD1QzsKvbU8h+xHvabN4TxSJHC8tIBivXfxBT0xqYQ8PaCbPGJLGTwWi0S9xXQ0PW1rODwCifi8wrjKvDVbHz0CYHA8mVuyPDws8zzI5X08ROWXPTuI0jyLViE8D0bIPOGIpTrSMYS8Q5OHPboy/byrbj29WbQMPSkZaL2/R4G85hE4PV64N72qeAy84V8dO4zH6jsBDmA7OBeJPXXZvLuco3M9rtiWO4eat7xC9tY8m8x7vNKUU7ygd6a8UAW3PIB+w7zzIJg9pVLJvH6xGr1neMy8LZsKvcfl/Tq7xd684gM+vDd62LwJpew8Lf7ZvGkcbTzw6RW7YUuZvH6xGr0tcgI9us+tvMhZpr1g0AC9qGBDPddvdj0XBl08ra+OPcy5sDz+nBa91R3mO1VUAjs5QBG9i/pBPaK/ZzwTQ4O8i/pBvVJvEL1vYem7qsocPbKKsbueiGU8MfsUPbgJdT01EH88ATdoPC1yAjwqZIg8EbAhPRAMgb3d1go8s9xBvd0omz1HoYE8qbJTvJgaYTwJQp08YXShPFZUAry6zy29HH6wPDtfSrzwl4W7kNXkPC9oM71FYLA7l0NpvFb4orsBYPC7d/EFPesV4zwJQp28E8/aOzRs3rzK7Ie8V3O7PM4jijyvpT+7Hac4PaHJtrzbvkE9MDVcPGsB37w1EH88Cff8O4rROT2Yt5E8tFdavcDrobz0xLg7N/8/vYkEET1OOA69x7z1PG69SDycF5y6JWfNO6ZBCr0p8N88xPmbvDxOCz2Uh/87HCygvJafyDzwO6a8fHDJvCdd/rxMzrQ7fl8KPOQi97tf4T+9Cfd8u1yqvboTplI8mAkivZMM5zyoYMO8qsocvdrxmLwpx9c7lSSwvK9Tr7poRfW8cFCqPOWWnzzt2xu8UpgYPN6jM73a8Zg8aEV1vJeOiTz3gCI9VvgiPQMmKT2Yt5E9cP4ZvcCZETxSHQA9mTKqO4Wr9ruvfLc8LKxJukO8Dz2cUWM8T7OmPMrshztKtms8zTRJPNaRDrzd/xK8mYS6O0qN47zi2rU8fmZ6vOR+Vrz6yOM8bZRAPJafSDyO3zO9YNCAPAeGs7wFbmo8tR2TOqZBijyilt87oujvvBejDb0GCxu9wE5xPLG9iLtokJU8VWVBvPHfxj1dFBc94tq1Ol8KSD3ntVg9qqGUO5Spl7wtcoK9JlaOPN20cr2k1zA9qdtbvU6bXbvSD+y8L7pDPD+/VD2dkjS9PE4LPXpRkLyxcug8WUBkvDlpGTuLI8q8H3RhvUFSNr219Io8m5wDvWLGMb1FssA8Z3hMPXk5x7zg9UM8/dZdvUylrDuWn8i8RMN/vHpRkDzY2U89LVBqvRUQLLwawsY84yzGu+QbB73tVrS8ve7mPEfzET3t2xs8fywzvfqf27pau/y88gjPPLEPGT1w/hm6xu9MuybiZbzjLMa8vt0nvNP+rL1DcW891kbuPOzbm7whWVM8al0+vW2UQLyGSCe9tsEzPe6oxDwNUBc7NOCGPGhnDT1yebI7nBecvOSn3ryjhSA98DsmPGpdPr3H3g09vljAPNIxhDw153a8M5+1PBOmUj1R0l+9PpbMPGD5iLzMkKi8sb0IPGXUK720V9q8IGOivM8q+jvmY0g8XE5evWqGRrx3laY8PfIrvBejjbxl1Cs71zUvPCnw3zv0cii93dYKvKhgwzyIsoA8bMeXuzXn9rwTfUo8mYQ6PMn9Rjx3IX68+44cvd3WCr3SMYS8lU24vKcOszus6dW7FTm0ukZWYTuO37O8+hr0O8BOcTzIWaa8/DK9vNaRDrseIlG8jWQbPY+s3DwQXhE9k5HOPE0gxbm3PEw8vqrQuwprpbxneMw8D0bIvOwEpLurbj05aEV1PJkyKju//OA72/EYvLaYq7zFdDS9SztTvJ27vLtw/hk8m3rrO4ktmbz7t6Q8sb2IPG0ZKDqqf/y5Ko0QveGIpTyQIIU8/ijuPCTsNDyhbVe9lId/vRBekTxOxOW8F6MNuysIqTvkIne8BjQjvBOm0jxvOOE8wJkRvZucg7vDp4s8EDx5PTo2wrzaGqG8cP4ZPXchfjwuPyu9Nq2vPEEAJj3PdRq9rtgWPUtTnDvgcNy7UvtnOx/v+bzQ8DK9GwOYvGkc7TyVTbi6oHcmPW1ruLsQDIG8XXfmvL6ByLv6n1u8Kt8gPeKxrbr17UA9C2FWuxa0TD2oicu8/YRNO3GiOrxL3/O7m8WLvKiTGr2A0FO87GfzPIS1xbzOTJK8AWDwOUWywLyC6Bw6h8M/PKeTmjzDpws9OKNgPLZvo7xsxxe9YSKRPOENjTwNil68x7WFPGniJb2a/9K8O1/KvIzpgrzntdg75+gvO6IKCDzXNS882kMpO1ju0zwuUGo6or/nPCc0djzqSDo87JD7ui15cjurRTW904MUPJByFTwznzW7ogoIu1uBtTzSWgy9tzzMPEKkRryWdsA6rq8OvO4jXTyqLWw9AO8mvfcukjuH7Mc7KEw/u8K4Sj0rMbG8ilYhOyVnzbxDce+8ROUXPFJGiLyhbVc8EbAhu/yOHDwx+5S8AWDwO3Z93bya/9I8T4qevP6clrsoTD+8oW3Xu6+lv7v23AE9lsjQPP5KhrxghWA8nZI0PWm5nbyNOxO9PfKrO1mSdDzl+W48in+pu6FtV7wqZIi8Nq2vO2WCG70DJqk8eEOWuGhu/Tunk5o5IVlTvNbjnjzs7Fo9DP6GPEqNYzurRbW8jTuTO3HLwrxpPgW90ZTTvZRed7zSWgy9elGQvBOmUrzVHea7nyUWvDUyFzrSD+w8AWDwuxNDgzsHAUw8ssR4POyQ+zzLPhi8KTuAOnCzebxoZ408ds9tuqvzpLuWn0i7l/HYPNiwR7sq36C6MiQdu4ZxrzzUok28fEdBPErYAzyqf/y8PaCbPIqosbyRxCW7aEV1PDm7qbzz/n+98GQuPTRs3rwg3jo9Q7yPPMs+mDxuQjC8RJr3vDRsXrzmETg9+dIyPC2bCjwPb1C8PckjvBPPWr0i1Os8kEkNPJfxWDxvivG8GnC2vNa6FrtCpMa7h8O/uyBjoro/XIW7dStNu/GNtrs1Wx+8LhajvJrWyjz3LhK8aTS2uk6b3bvjLEa8hDDevPZo2Tgodcc7IQdDPBECMjx+iBK7wuFSPSdWDryMI0q7PcmjOxvaD7w3UVA5yxWQPCzVUTy7xd670/4svJI/PjtjQco6NRB/vAthVrzkfta7x96NOx6nODzw6RU8qU8EvQW5Cj1+sZq7jWQbvCnH17toRfW93SibOxsDmLuNjaO8UpiYu+yQ+zzJq7a8T4qeO/CXBbyNZBu9/YRNvFL7ZzzvqEQ8FotEvK2GBj02rS894rGtuV49H71+FOq8DVCXPLLEeLxej687BZACOw7Lr7xC9lY8/a1VOpqtQjoZgfW7RJp3uhA1ibza8Zg8xcZEO6K/57wx+xS9XhSXO7jg7LyqeIy82kOpOrVGmzzzrO+79rppO1SOybxc/E285Ut/vAKJ+DvT/qw8wrjKvL/8YDzb58k6ch3TuzlpmTz7tyQ9ra+Ouo1kG7zYAlg8Y0FKPM6vYbz7jhy7xweWPPjSsrzsiQu9lSQwvDW+brzPnqK85W0Xuz13k7vIWSa9+44cuxpwtrxSmBi889V3vIzpAjwJ93w8yas2vGzHF7x8R0E7Kt8gvGEikTxePZ87GhTXvGehVDy5VJW7tkYbPcDCGbxZi4S8KEy/POGIpTscVSg80lqMPPCXBT0C/SA9ssR4vN56Kzsq3yC8n04evS0n4jxJ6UK6dOMLutOsnLwQPPm81pj+u7EPmTwfEZI8ATfouMcYVb0TplI9z8equz+/1LxghWC7x96NvNoaobzVHWY8YQD5POKxrbspOwC97NubPCqNED3pHzI8E31KvPj7uro8JYM8KTuAvLGb8DtEmne86c0hvUYt2bw253a6aJAVPTijYDyAVbu8Z6HUPH8Dq7tOm128cfTKvHjnNruNZBu9CRmVvGEiEb2MEou8Ri3ZvB6d6bzd1oo8yIIuPUO8Dz18R8G8aRztvOWWn7zsZ3M8y6HnvJi3kTvzIJg84Q0NPbG9iDr6yGO8bRmovDUQ/zyMEgu9g4y9vD3yK7yK0Tm8jOkCPU33PDxPs6Y88ba+vODkhLz0SSC8LKxJvIpWobyle1G85W0XPdBCQ7rSWgw9Tg8GPecpgbj+xZ484TaVPOW/J7xej687+U3LPIL5WzxIlzI8I0gUO/l2Uzz68es6iqixPBj1nbwyJJ26Ih+MOjxOCz2thoY8VVQCPVtYLTzDp4s8nyUWPU1JTbw9dxM8Qs1OvEKkRryMdVo6n04eu1GAzzyw98887qjEu4wSC713IX67lId/PBaLRL2BbYQ6Cff8t+D1w7rp9qm8Lf7ZvFGp17xixjE7jjHEOwsPRj2BS2y8cCciPVIdAL3HamW8DLPmO7bBszsXBt27c7oDPWk+BbypTwQ9G7EHvGQwCzzDfoM8Wi8lvXHLwryPWkw8mVuyOxHZKbyNZBs8ytQ+PLOzuTzoB+k8Og26vKe8Ij31Fsk81wwnPEsBDD31Fkm9W9PFPKHyPjyCEaU8cCciPN3/kjz5Tcu8FwbdPH6IEj25fZ088Y02PJkJIjyFq/a7yxUQPKLob7wev4G8PFX7PPIx1zx/2qI7z3UaPdnIkLx7ehi8wWa6PFoGnbyhRM87phiCPHRepLyA0NM8YPkIOv2t1Tw04IY8KmQIO4v6Qb3n6K87eiiIPFKYmDyfJRY8D5hYvJSAD7xR0t+8CfCMO7+qUDzxtj69fogSvQE36Lz9/2U7hVlmvLiO3Lz+xR69S1McvT9EvDurRbW8p5MavCQ+RTyBbQS9W6o9OGhnjTzp9ik7TpvdPPaR4bwFuQq9v0cBO/plFLyM6YK7kZudvFJN+LwSsCG8+U1LvIzH6jzaGqG89e3AvLGUgDxKtus8H+95vKQReDw5QJE8qlZ0uqB3prymQYo8R8qJPLI4oTw6Dbo6YQD5O+6oxDzE0JO64cJsPM8qerxvrAm9AQ5gPPxbxTxb08W6vi84vfHfRj3gwuy8/YTNPKtFtbpx9Mq7Ji2GPFL7Z7wNJ488fj3yugz+Br2KViG7XmYnvCh1RzwCifg7z3WaOwCTxz2UXne7iQQRvMCZET0f6Ak9mPHYOnjntjxnylw8mv/SPGQYQr2hRM+8z8eqO6hgwzwCqxA8CpQtvFPqKLxidKG9MONLvDatLzuMx2q8dDUcvOKxrbwQPPm8Xo8vvcEUqjoWtMy8VLfRPFz8zbxFYDA9sZQAPWNBSj0BDuA8Xo8vPRA1CT2qVvS5tm+jvJi3Eb0KvbW8NZVmvNZv9js8JYO8suYQvMDrIbwgjKq8aJAVPUzONDrg5AS8UdJfuj3JozsQE/E7L5G7u4ZIJ7qmQQq8sCDYvPrx67lgheA7u8XeO2fKXD0zyD09PFX7PP6cljwodUe8YK5ovEsBDLxbgbU8SZeyOEccmryi6G88LXlyOxRsiztrdYc8U+qoPLpKxrzskPu6RxwaPce89bxi77m8pClBPFovpbwn0SY9H+gJvCFZU7zwlwW9SRLLO8ZB3by2wbO8qqEUPLVGG7xuQrA8a3UHvHxHwbogtTK8tfSKPOQbhzuUNe87eL4uO8QiJDuoiUu9H+95vKQR+LsoTL88ZiY8Oxcv5Trn3uA8WWnsPPrI4zlSHQC8hh8fvZvFi7wm4mU4uAn1vOyQezst/tm86fapPG1CMDroUom86AfpO4iyADyAVbs7mBphvdG92zxY7tM51kZuvB/veTz8CbW8h8M/PLUdkzxtlEA9xp08PCdd/rsTQwM8Vn2KPIBVu7o4/786kj8+PMFmOrv1m7A8C+a9PEfKCTr5dtO7oUTPvAMmqbzT/iy8suaQuwKCCLxSHQA8zyr6u44xRLx2fV28bWs4vBs93zq44Oy7YPmIPDPIPTvTrJy8vDkHvZRe97uqf3y89MQ4PUL21ryPWsy7hAfWupMWNr3lS/+81kbuu8y5MDxfM9A8njbVvLSp6jv3gCI9qi3svJ8llryiv+c7l0PpO349cjvtVjQ8lF53O2+DAT0UlZO7MDXcO0npwrzeeiu9cctCvN20cjqHwz+8eWLPPPwyPTxN9zy8R6GBOx/G8bwPRkg8hkinPEpkW7uMnmI82LBHOB6/gbvI5X08htR+vekfsrzkInc8+SRDvHBQKrxg+Qi8wrjKudIxhLtaWK08tm+jOzHSjDtZtAy9fmZ6OxlwNrvLZ6C8FwbdO6HyPj0enek7PRs0Ow2iJ73lRA89ziMKPDrksTsm4mW8vqrQvCNxHL1hIpE841XOOmQYQjy/RwG8OO4APJtR4zwmf5a8haQGPc91Grz8CTW7RbJAPRECsjwigls7d2yePPtD/Dra8Zi8m8z7vN20crz6GvS7phgCPYfDv7pz44u8sZvwPMbvTLwxqQS8UAW3OgkZlTobA5i8JjT2PKQpQTw5uym88GQuPUrYg7yjrii9QK6VvJxprLvk+W47ZYKbu6flKj2ovCK8lnZAuzgXCb3HvHW8dgLFO+/Ajby/R4G8WUBkPP8XL715OUe7Tg8GPJRXBz1A1x28ElTCPGqGRjtvrIm82XaAPOX57rsrCCk8w+HSuxBekTuvfLe8CccEPVJvELycaSy7Av0gPfdXmjsTptI7dqblO1JvkLqZMiq8fEfBu/ODZ7zE0JO8ALxPPOgHaTwedOE73bTyvBuxBztOxGW6QNeduxHB4Lx89TC89ZuwPNR5xTzvwI08phgCvUct2boodce8Kt+guVBXxztjk9o8PaCbvJZ2wDuIsgA8cfRKO/xbRT0SsCG86sPSPLRX2jxm/bM7CzjOu+nNobrWkY48tsGzvI1kG73AmZE8JD7FO93d+jt3If47MdKMO13rjrxQ3K48zTTJOhJUwrzs7No7mv9SPB3QQDsRweA8cCciu0npQrreUSO8KRnoOy158jwq3yA81m92vGhFdTytO2Y7IIwqvPl2U7wx0oy7ZdSruwcBzLq8OQe9AJPHPCW5Xb1kvOI7Xrg3vZ8llrtvrIk6NTIXvPB1bb2MEgu93f8SPC+RO7tk5Wq7XwpIPFb4Ij0XtMy7njbVvDoNOjw6NkK9A0+xu+YRuDvwZK678HXtPCk7ADwF4pI81143vQLUmLv1P9G7Um8QvXNGWz10h6y7y2cgvfipKj3aGqG7k4fbPJxAUTyFL1c9MstjPIBMUDyFIr+8r6UkvS7BlLzu9VS9SH5+vNO9Wz11KGO8ZQc/vdA4tDw3eoo9ID/IPE0DXbuwiHQ6/tWAPXxpyTxkWM88oHRovCAyML2ntU48m3cxvVQ3K73zejO96HD2O47bND1Htd67bGJVvU/M/LyDqi+9YE4AurbzojxXoiI9sr8LvbRe47wDqW87LRIlvSn4PbwlIs+9rRBlPbRRyzzMSBW9JfsGPHeg8jynjgY8YRcgvJNtKz2xN2S6nuKou1UAS7w0bbu86EkuvWkUDryZGVK99tgSPREepDv7agm9kGBcPeOAVz2IVtY8Fr0yvBUOQ70ncxY9/6s4veNzvzzlSXe8MRz0OnOWo7zzbRs9LEmFvTH1qztV8zK9wSSoPL3wkLsDqe88Ruy+vBxcQb2zexO7H3aoPFq8CbyoZL67YHXIvPSHy7ySKXy96HD2PO7OjLzDw/+87DlNvMExQDzTvVu9S341vM/NPD06oQm96R9mvEKrjztHqEY7fE+ZPLBhrD1ISh48DC4FvPQci7x7x/E8ifitugN1D718QgE9nuIoOveHgrxG0g6+DrOsuyeArj2ze5O8GUJaPYOdFz1rpk28Yj5oPHuTkbznmj69DC4FveEIyLxsSKU8fSVRveunjT3wRpw8Ruw+PZIp/DxlB788W5JBOvhqUj0XbKI43HZRPZhDmruQRqy6NWAjPTVD87tMR9U7CUh+vQrDDT2X5Tq8Qe8HvSH7T7x1G8s8kDkUPI+XvDwSRew7bGJVPBRFI73zlOO8XDQZPdkL2jy7hRm8BQfPOmrdrbvu26S8c7BTPH9pgD3AdTi8ZrYuPNSGezy9JPE8nE1pPKebHjv22BK93RipPKkGFjqZJmq8d6ByvRd5OrrC05e8AIJwvTVD87xbhSm8lssKvUh+frzlL8e8VslqvQt/FTw/q1i8Oru5PNxPCbwzsTO7HtRQvZn/Ib0i4R+9R5uuuyEIaDwNBL287GMVPD7VoLqILw69F4bSPDHoEzoO9yS9f9RAveUVFz1ZQXo8FWxrPakTrjxZQXq8lsuKPd7UMDuntU46UtlLvFuSQb39/Ei9z2+UPAhYFr2wiPS8XhdpPIhjbr1aySE807BDPdbkWrzYXOq7O5FxvCAYAD3K6jW72rpJPd+qaLxsVT09lvJSvI7OnDsnp/Y8d3kqO5Ucm7ylE/e8rdwEPInrFbwV9BI955o+vELf77xq3S29NRwrvSBZeLwrtMU7trxCuz+RKL1QYTw8XhdpvBRFIz2fq0g82FxqvXUOs7vYKIq6PsiIvDbyYr0LjK28N5Q6PaeOhj0d8QA9SFc2PfH1CzpG7L68o4E3vHLNAz0JBwa8XQpRPVN7ozxYURK7ttZyvGBbGL0VG9u8JRW3u/+RCD2AMiA8j7HsPDa+Aj1jtve8Y4KXPORmp7v/niA9xvqWO1h4Wr2tEOW6rrI8vaUT9zxEPU88fu7wvP7VAD1zliM87tukvM33hDzpPJa8kGDcPH9pADxrps08nvzYO3x2Yb3bkwE99BwLumxIJbma1Vm9ytAFPetwLT2wYSw8xup+POen1rxJLe48y4yNPEUWhzwFB8+8C3+VPFK/G71Yr7o9+5HRO8BL8DsIZS48hRUnu1+PeD1EV3+7CQeGvBkbEr1rpk27CQeGvMhI3jxPi4S8VFHbPCRmx7sdCzE9HEIRPHLNg7wjkI885S/HvF+PeD1Qe2y8t4ViO4e0/jzpPBY8HTJ5PLREs7zVNWs6Kd6NvE+LhLw9DAG9l5SqPD+EED1QVCQ9x4zWvLCIdDx8XDG9YGiwuz7iODuQYFy7Xf24u7CIdLlJ+Y27SS1uPZkm6jxPi4S7tCoDvBRSO71a41E9TumsPJue+bqHgJ49xXJvPPOU4zxKwi094FlYvVEqXLykIw89QtJXPDA5pLwu9fQ6dQ6zvHawijxPpTS7lTbLPInrlTzcdlE8h4CeO3gbgjwJLs6743O/POrBvbxCq487JRW3PK6yvLzDjx88TtwUO14Xabw3eoq8xtDOPC99HL3yvqs6wvpfPARLxzzu9dS6KDy2O13jiLyB7ie8Mr7LPEhXNjx/neA8qEqOvK3pnD35M/I8U24LvWBosDzXhjI9rekcPCxwzTxLpf28FfSSPEulfb1Te6M8yt2dOnSjOzzC05e8ZGXnO1Oiaz3RDuy8uRoiPTHoE72bnnm61QELPKEWQDw25Uq9MDmkvGBbGL0S9Fu85FmPvB7haLyIY+489uUqPSxjtby5Jzq83uHIvWXtjrzC4C875SIvvNO9WzwpBVY8j30MvOg8lrssSYU85utOvF3jCLsZKCq9V6+6O8RLpzxIfn47MsvjvHx24TqW2CK9u6zhPJUpMz0UbGs7QrgnvY7OHDxB/J+8ER6kvNeter2cJiE9XGj5PFhRkrzitzc8G7ppvUh+frsd/hg6subTO+nrhTy5NNK8iGPuukHvBz0YQto8F5Pquwr3bbxkMQe7K5oVvVknSr3h7hc9/5GIvH+d4DwhCOi8QE0wO2hYhjxmti69VQBLO9ugmbzC7ce8h402OzKkG709QGG7MCwMPcLgr7vXbAI7JRU3vfQ2O7tkZWc8ge6nPGuzZbzcg+m8SD2GvLbzIjsp+D29O3dBvBrKgTxzsNM7FfSSvO0sNb161wm8DfckuY7ozDsQVQQ8bQStvJtdAb2G3sa6WQACvd7HGL0WsJo8dQ6zvGa2LrwoIga985TjO/LLQz1gWxi9Bra+vABbqDzYKAo8z4nEuBOjyzzwbWS8vf0oPZg2gjksVp28zEiVvBOWM7xus5w8FGzrOrE35LtREKy8drCKPJh3erxZAAI9a7PlvEn5Db2IY+688DkEvDrI0bs7aqk8OqEJOz+r2LsFPq+66fidu/BtZLwtBQ28zrMMvZ/FeLoFIX876TyWPAhYFj3lSXe9qSBGvc6zDDx/kEi9oECIvPrVSbyHjTa825OBvEBayDzAS/A8U6LrvBg1QjwcT6k8QECYPUrCrbyjZ4e8P6vYu00D3TxQVCS9UQMUvfehMj1MIA29WskhPGumTbsNHu28gRXwvAkHhry3heK6qTr2vFxBsTzm+OY5C5lFPPOUY7yt3AQ7FQErvUHvBzv64uG6EFUEPFuf2bzURYM9m2qZO3xCgT2SpAs9ztrUPKk69rwe1NA8aiEmvNeter0cXEG89QzzPJq7Kb3kZqe882ADPLOvc7y/W4i8Oru5O20RxTwcXEE7MqSbOQLTt7x/aQC8P7jwPN0LET2OwQS9YuC/O7Ov87sPlvy8zQQdvYqnHTye/Fi8W5LBuyeArrwvijS8NGCjuwOPvzyxKky8qROuPHSjuzpYeFo9U6JrO6+YDDx/1EC9S6X9vPquAT3m6867S3GdvOLRZzyQOZS8ZDGHPOUiL72pOnY8LvX0vGXtjrrm0R49trxCvTby4ryfhIC8R44WPHxCAT3nmr68uRoiPC71dLw/hBC9/5GIvBUb27wbrVG8GF+KOSRZLzzqtKU7UrKDvEQwN70LmUU8MqQbvd4yWTy+nwC9gDKgPL6fAL2wVBQ9teYKPYq0tbu8eIG8WQ0aPU0D3bv/kQi97s6MPLeFYjxbn1k7/tUAve7ODLyQU0S83uHIuSSA97wpBdY78DkEPJ+RmDqK2328m2oZvHrXCbu5DQo9zVWtOw33JDrcT4m8OqEJPHUBG70cadm8VJXTvaQ9P7w9QGG8iRJevIOdl7yVHJs7mq4RvE+lNDxS2cs8+LtiPCn4PTyQRqw6+LtiPNEObLo/nsC7Ze0OPLr98bykMKc8+QyqvCSAdzxsSKU76TwWPbK/C7zoVkY8o47POcQ+jzmXlKq6s5VDO8d/vrpJ+Q2907DDPM+JRDuoZL48ge6nPB9pkDwF+ja9zEiVO0KrD7xhFyA976REPJnyiTxURMO8y6Y9vLkNijyETIc9DrOsPF+fELzfqmi8iDymO/SHS734Xbo8kqSLvBooKjz5M/K8tCqDvCnrpTy0RDM8U3ujvAOCp7xATTC9S2SFuxawGrykMKc8dfSCu+Ei+DysR8U8OeUBuwQxl7xJLe45NFMLvCx95bv7aom8K5qVPFEDFDw6riE88QIkPV6sqDqwVBQ8DfekO0H8n7x8dmE7+LtiPPBGHDz64uG8Ur+bvIhzhrq7n8k6itt9vMxiRTuVHBu8E717vJkZ0jwIWBa9iFbWvNO92zySvru8lv9qPEkGJryG69698fWLPB3+mDyLfdU6u6xhvAB1WDuxKky60EVMPBO9+zyYd/q8FuR6OdLaizzMYkU8zsAku2bd9jwnjUY9y8BtPErCLb0/nsC8aFiGvJH1GzsAdVi8kthrPFXmGr2riz27bfeUOpnyiTtgdci8WF6qu3eGQjpvYgy7qs+1PFSVU7yPpFS9gCUIPcOPH7zEWD+8Kfg9vAOPvzsoVma8fscoPG7aZL1NA928jRIVvISN/zzlL8e8WrwJvFeiIj2HjbY8QsW/PIU87ztIV7Y8EtqrO20ErbzinYc8BD6vPEEJOL0XXwo8P4QQPBeTart9JdG8kDkUOvwzqbzLmSU8vfCQO5xNabva1Pm8iRJePen4Hb0nc5Y8zEgVvGBOADx+uhA8lSkzvJhdyryILw48P7hwPELfbzzfdoi8f53gvJrVWTyO27Q6GSgqu/H1iztUUVu6fu7wu7rjwTtC0tc6A3WPO8OPHz2rcQ09SH5+PBRSOzwn0b68JS/nvDBT1DwREYw8lQ+Du/euSrxO3BS9kGBcvNBffLsJLk48VJVTPLN7k7w/hBA9gRVwPfhdOr0aKCq85tGeOyen9jtkMQc82fEpPROJm7s1HCu8mshBPYbexjwzsbM8vqyYvGX6pjsm3lY8MqQbvE+lNDw2y5q8XfCgvM0RtbwvpGS8rQPNPB66oDySpAu9hTxvPUNnlzwdGEm85vjmvGQxBz0Gtj694EzAu/ehsrwATpC86HB2vIgvjrxeF2k8dfQCPSA/yDzG6v68v2ggvN66AL1d/Tg98G3kvKNnB7o9GZk8K5oVO5qukbu/glC71TVrO2rdLTvvvnS8zGJFPCAYgLzoVkY8FQ5DPfuRUbyauym8rGH1u3V58zz1DHO8fGnJvDkZYrtS83u7xraePEhKHrzi0ec86HB2Oz+4cDzAS/A8EUXsPPQpIzwXXwq83rqAPHRfw7vILq473Gk5PIkFxrqJEt46hsSWO26mhDtpFA48YGgwvSEIaDz7hDm7XRfpPM04/TxKwq28xFi/PDtqqbzqzlU8S6V9u0n5Db2arpG7353QN9q6STxG0g48G6C5PAK5B72jZ4e8sG7EPBERDL1yAWQ8CvftO+++dLuhCai8p46GvHgomrzC05c8Bfq2vFhREj1YUZK9+q4BPdPaC7xHqMa8W5LBO0LFP7zlIq+8c4kLPELFPzvp64U7msjBvH+QyLy/dbg8EREMvTbYMrxCq488x3++O0xUbbxhPug7Q47fO7EdtDxLZAU9mQy6umOCFz3LmSU8pI7PPFbJ6jy4azK7oEAIPLbW8ju4UQI9JfsGPLd4SjuXh5K89EPTPL7GyDzp6wU7Xqwou6ObZzwBJEg8otLHPA7NXLv5DKq8pDCnO/rIsTz94hi825MBPZLL07ydGYm4j30Mu4053bzxD7w8gD+4PB9pEL1Ya8I71Q6jPDt3QTsW5Pq7FsrKvLuSsbzQRUw8VeYaO5K+uzy7n8k8vsbIvHgbgrsoSc68nITJusvAbTq4UYK8dF9DO3xCAbz0HAu9Es2TvP1AQbxPsky98G3kvL6sGDzRDuy8VeYavEw6vTygdOi8tvMivOEIyDw3eoo8AE6QPLw0Cby1DdO7dr2iu1NuC7xV5ho81FKbvEBAGL1YXiq8gsTfPArdvTxRAxS9vf2ou3RfQzwuzqw8SfkNvTquobucJiE7HE+puxERDL2/aCA6TtyUPBFF7LncT4m8F3k6uvA5hDzocPY8eKDyu1Bu1LzYKIq8y5klPSeArjx/neC6luU6vTOXAz2CxF+9FRvbPEKrj7xUlVO8VeaaPMExQLzWyio95uvOPFheKrxenxC7pRP3uzHok7xjtne77DnNPHxcsT2+xki81IZ7vHOwUz0yy+M8bDsNvMUhXz3LwO08U24LPd+qaLyl7K68fE+ZvNO92zz8WnE8AQqYu+0stTlu2uS8js4cvSO317vFIV+8BsNWO/tqCb0YNcK8w8N/vEBnYLvkWQ+9h3MGPLeFYrvXhjI9PUDhPD+eQD2PfQw8gD84PXRfwzyYd/o6p44GvTnyGbzysZO8TfZEu9rUeTqG69674DKQu0i1Xjy4UYI6Mr5LPFBUJLypBha9JSJPvFLZy7kKITY8HtRQvNhcajtDZ5e3lQ8Dvbus4TpCxT+78G3kOh+DQD3rl/U8irS1O8bDtrvlIi88mf+hu9yDabuS2Os8IQhoOs7a1Lyri7276sG9PD7vUDx+xyi8LRIlO4+XPL325So9ht5GPV6sKLyRAjS9xup+PMvA7TtvbyQ9JreOPDd6Cryuv9S707BDvHx2YbySpAu9o2cHvcEkqLzZC1q8KFZmO5ueeTyyv4u7E4kbuzOxszvO52y8LsGUPNUoUzyxA4S9ntUQvMvA7TuW/2o9aSGmPJ+esLusYXU87R+dPDBT1LxC0tc6Q47fvC0FjbwSzZO85tGeOtRSG7yYNgK9StxdO2F1SDv8WvG8rdwEO5kZ0jwbumk8N3oKvUebrjxknMc7oECIPHUo4zxsSCU8f4MwPX7UQDxenxA9zTh9PBL02zpJBiY8u6zhO2xIJTwV9JK6KeulPIhj7rhmw8Y8ZFjPPN0LkTxIfv68NssavbbzIr11DjM8pRN3uwEkyDvTo6s8q4s9vU+yzLpyzQO9tEQzvOLR57stLNU8froQvQ1INTzHjFa8OshRvJrIwTum35a835C4PAN1j7z/uNC7pErXO6hKDr0RK7y825MBOvkz8js3hyI9hI1/vC9wBL37dyE9F18KvUvcXbwkWS+8FDiLPAkuzrzPb5Q8XCeBO2UHvzs9QOG7teYKOqQ9P7tZQXq9PQwBPMUURzrwOQS982ADPaLFrzznjSa8sW5EPDH1K72xN2Q6RD1POxLnw7vMSBU8c7BTPEEW0Lw6rqE8gsRfveeNprvzlGO8wu3Hui+KNDlfj/g7zudsPIEVcLyS2Os8d4ZCPBkbEryAPzi9aSGmPN7hSLqsLRW856dWPBLaKz2wbsQ7Of+xO0EJOL0ZG5I8MegTPRkbErvboJk7UvP7utOWE7zXhjK8RD1PPNdsgjxtEUU6LsGUvH92mDuZGdI7TC2lPNyDabyHgB47dRvLPD1AYTwop3a8LGM1OxN8Azy+nwA8U78bvPQpI7pUUds8zfeEPAL6f7zBMUC8remcPFevOjtHqMa84FnYvK6yPDyYNoK8J4AuOi+k5LuPpNS8VsnqPDk2kry8eAG91uTavNyD6Tre+/i7XrnAOz1A4Twe4Wi8a7NlvNkL2rybahk8UG7UPE0D3bvVDqO8T4sEPZkm6rw5GeK7RSOfPKBNILxUlVO8HtRQOqH8DzyZ8om8iRLeuORmpzwaC3o8ff6IPIbrXjzOwKS8WvBpPPuR0brG6v47LH3lPPH1C7wDj7+8T6U0u7xb0TsAWyi8bQQtvGaplrsMLgW9bSv1u37UQDxd4wi8F5PqvAUh/7zixE+8/CYRPdOww7zVG7s7EufDO3d5qjxwKyw9sSpMvG0rdbxJIFa8/GoJvOVJ97zqwb07vHgBu4RmNzsCuQc8dRtLvMRYPztcNJm82tR5O+7ODDzngI48pI7PvEb5Vj0K9+28JSJPvOUiL7ycTek7SS3uvARLxzydGYk8VeYaPXdskryoZL48qRMuvJ+rSDt1G8u7UrKDPAXghrwcaVm8G4YJvdOjqzwF+ra8mEOaPGuMnTyS2Os66RJOvLK/C7t5/lG7H60IPLeFYrzeMlm8h7T+u4SN/7vYKIo865f1PGxVvbz/nqA8SLXevEUjHztixo87UvP7OpnyCb3JEX68O2opPC7OrLtSzDO8J6f2POA/qDyjZwe7wtOXvBeTajsvfRy9e6Apu5km6rpi06e8U24LPak69jsnc5a7hsSWvF6sqLzX10K6qrUFvUQwNz2xEJy8LvX0vGumzTvYT1I8FNhLPIRfCD1TWXU9Cm1GPEPA0DveIjm8ZDD3vPaH9LtOW+O8WaWiO3ZWiz1TWfU7uBWSvNMnjDv/QQw9ZTB3PA2cXLzvitm8EUkbPZUnwzyrbC89fVOmPLfGf70MbM88X0IjvZtkqbzfUka9C/1tuhsUuzx6JBC8uHUsvWkNw7zrawG9RZ+KvM17xDyWV1A84MEnvbgVkrzhsek81Nj5vJhWWbqNW6y9jbtGPYHh3zui8Wu9m5Q2PGPQXDtLnKW8d+ayOaYOgzzkT+G7/XKQvGNAtbq2Fom9OpSfvOubDrzkvzm9RGC2PKOQWrzET5O8AGJbPIp9aT2ZxTo9EUmbvOtrgb1yiIY9sQkwvQ8ahbvakwi9DxqFPKj9zTq65I08ukQovKaP47uB4d+8UfnaPDyE4Tw6hdg8N5aNvPX3zLwC0Ty6+zM8vGTQXLneE3I8Rc8XvfnF0Tvq/B+9Ku0qPazbEL28BN28iuxKve+K2TwTqD6931JGPGNAtTw8AwG9tnYjO077SDxNmy49IvCPu5/yYj2E4Gi8mjScvNu0zrywKnY9tHeauF4zXL0M/HY8fsIHPRQXoLxuSqm9YkA1PIJBej2w2aK8K1yMPUwLhzyGT8q8/cPju2Sgz7tyCee8u3Q1vRzU77zO6qU8MyijvH1DaD3Mu4+74bHpPGFBLD1kcMI8WXUVvb7inz1Vp5C8ht9xPbrkjbskEN+61uZJPaNgTbvvya08IXJnvftzhzydogY6ZW9LvFt0nryQmYk9deepu5Y2Cj1R2Qu85i4bvKrcB73hsem88DiPPO3rarysC568HyILvMAC7zsDQB68YREfPfgFnT1m3qy8/3GZu05bY7wX19Q8VmdFPHpUHTzTJ4y8rqoMPbjVxjupzUC9RGA2vbKonjxkMPe8LVuVvS67L73n/Ra8skgEvKot27zgIcK81lYivGl9Gz1ozu68LkvXu8Wf77yaNJy7U9gUvIOAzrw/Aoq96I2+vD6SMTwJ/mS9/QI4u6Bxgjz2Zi69YzFuPRmm0LzC4DG9EemAvPo0szx2p168aX0bPT1jmzwsHEE7W3QePVs0Uzx0eMg8PCRHvKYuUr1/IiK96U1zPAPgA72Kfem8CA6jObfG/7wlH6a6wAJvPLVGlrzAsZu8SM0pveKQIz0rDfo7/mJSPYuMsLz2NiE9woCXvJ9SfT3+YtI8fyKiO3SoVbzF7gG9i3xyOzlVS7y0yO08lDeBuzNJ6bxcNFO9WXUVvVP447o7AwG87PuouySAt7ybVGs8512xPMeuNjx6Fcm8D3ofvSLhSLwxWSe8py5SvE7agr2TWEc9cxiuPAY/Jz3p/B+8XjPcPNLZcLyxqB66Cf7kvP1ykDw8hGE8WfZ1PTEpGjqEgE48LbsvvKXvfbw89Dk88JmgPE+7/TwPep+6SB79Oz0j0Dty6KC8A2FkPNF5Vjymj+M8N5aNu2yrOr261E+8anykvP4yxTxpfRs7G4QTvVR3Azzrm448i3zyvBCa7jsNnFy8IOI/PS+r8TwJ3Z487WoKvB+CJb2BUbg8f5EDvcvc1Tt5pXC9LaxoPRDauTw5JT49xKDmu2PQ3LxYNkE8ykyuPMKwpDx0VwK935EavIjtQb22prA98IliPATQRTx0Fze8FbcFvbYGSz1wavi7RS8yvFnVL70DEJE8utTPux5SGD2Tlxs8A2FkPB+CpbyE4Gg9rAsePJhW2Tw0WLC7WXWVu4MgND1jMW47eYWhPJrUAT25tIA8B/9bPLXXNL2atfy6dKhVvADSMzuMHNg7A2HkO01rIT1aleQ8WaUivaMwwLs0SHK9YeGRO19ysLuzOMa8S5yluuJgljzIfbK8UMpEPZS4YT0UqL46NZeEu0mdHL1ek3Y87voxPZpV4jpBAZM93iK5O2hNjrzCAfg8HOQtvS+r8buuCic9Rm6GPCrtKroz+BW8vBMkvdFJSTyvOrS8d4aYvPXWhjyty9I8S1xaO5tU6zwkUCq8KV2DPPP4w7v9MkU8T2oqPPelgjvO6qU8ubSAPD6DarzTJwy8zUs3PYfuuLyCkAw56yu2PH2DMzu0yO28E5n3PFU3uDxTOC+9TvtIPO6KWTy7dDU97PuovBKZdz32NiE9NLhKvccOUTwbhBM90LmhunQIcDxNa6G8oWHEuky8dL2dk7889SfaPDGqejyZ1AG8NScsPX1TJjzfYY28UpnAPPqjlL1wCt67Zc9lPOxMfDyqLVu99sbIvK0rbb3hMAm8/jLFvFb37Lv31Y88ntKTPISPlbxDIeK8w6DmvbgVkrw7lB+4n2K7vA/7/zvgsek6rCxkOkbOID0+krG89PdMPHBqeLwjcXC9AKImvPEpyLu45YS7aG7UvHWn3jp/4ta862sBPa6qDD2mDoO8f4I8vcwbKj1/IqK85C8SvQv9bb1ozu48E+gJPXSoVTzC4DE8EUmbvaExNzxXBrS77PuouzNJaTsDYeS8PTMOvSRw+bpmz2U9uGZlPHQXN7wQ+388BEAevUX/JL3Nios8UQkZvLxkdzzFD0i95LByvLVGFjxy6CC95F8fOn2k+Tt15ym8AWLbO6YOg7uSyB89qdyHPZeWJLxBMSA72oRBvYZekTxCkTq7buoOPTPoV7ysy1K9UJq3u/iG/bvV50C9Bd+MO2GS/zz3hv28t8Z/vCmuVr22Bsu8vLMJvfCZIDyeMq487+pzvIFROL1p3bU8QCLZvEg9gr2jkNo8Zd8jvCutX7tyCee8MUrgu6MAMz0JrRG94sCwvLhmZTsKPTk8qG0mvA07y7udkz+9TTsUPVhFCLwz6Fe9xQ/IO4HhX7yxKX+7R/4tvGVvy7obFLu83sIePOdO6jqjkFo8ebUuvfnFUbxyiIa8fCOZuzllibxqzfe7m1TrvG+qQztYRYi8tWdcu1rUuLtxavi8eCUHvYKQjDsx+Qw8PAMBPTFKYDyjYE29sHmIPB2zqTtNOxS994b9vNiFuLwKXv+72XV6vAVgbTw9M448HxLNu/Un2jy8BN08NfcePco957w1SPK78SnIvK4Kpzxqbd28V/fsvBtUBj0qHbi8g0H6PFukq7vw+Tq8UvlaupQY/LuFT0o827ROu5M3AbpwqsO8hODouxe2jrxqzfc8vATdvBKpNTspjRC6q8xJPBe2Dr0cdFU9qD2ZPAn+ZD2aNBw9YLEEPNCJFL3nTuo83WIEPE+7fb0btKC8PYThOmhNDr1Enwq6EjndPF4z3Lz+MsW8wuAxvBnlpDyuOjS84CHCvNyDyrwvWp67vBMkPT8yFz1yCWe8mAWGu+GxaTuoPRm8Bd+MvFrUODwInsq7eEbNO9LZcLxk0Ny7L/qDPMYeDz2obaY8xU4cPboUG7x/kYM9dHjIO5tUazxRWuy8zUs3vHRXgjsTOV07jhvhvLVGFjyOyg29z0pAPK+aTrzkj6w7ksgfvVtEEbzHnvg8Ca0RvUa/2byPKqi8/mLSPNRXGT0JfYS8sGnKPHBq+LufMi690ogdvH7ylLwqrV+83sIePEExILwA0jM8ANIzvDz0Ob2SWMe674rZvGhuVDyOG+G8f+LWPKHQpb1bpCs9j3v7PEheyLyUGPy8N+dgPDdWwjph4RG9oPJiPJ4CIT0fEk28IuHIvEKRuruGf1e8LYuivN7CHr1Nm648ILIyvP9BjDyeYju8x97DOweuiLznTuo8FtfUuu4qP7wa5aS7PZOouGwbE72kPwe8zUs3vbKoHrsq7ao7BNDFO7zjlryTl5s7QiFiOpZXUDuWJsw7LKzoO5ZXUDyYtnM8Rx/0uxKZ9zkSOV08oFL9O817xLy1x/Y8uBWSvACiJj2mzje8uEWfPLJ4ETr3pYI86F0xvE07FL3ksHK8smhTvGitqLvHrra8rittOkMAnDyk8PQ8A0AePNEogzzTGMW8sslkO/0COLs2Vzk8xD9VO57SEzzziGu8MUrgO7zjFrq/olQ9iF2aPBMJ0LylL8m7r5pOPFw007xM/L88oWHEO3wjGTw9Yxu9VzbBvBR4MTyo/U28XxKWu16T9jpb1Di9UslNPHyDs7yuCic9TPy/vJq1/DtGboY7ubSAPHu0N70Wp8c81/WQPIpco7vZdfq7dFeCPAFBlTxAwr48jBzYPMqsyDtIzSk8xH+gO1I4rzovWp68NScsPCSwxDtKveu8507qvCtcjLzIrT881iaVvLDK2zv9cpC8U5hJvOVP4TwNSwm9Z66fvP4j/jyjbxS92cSMvNJ437wA0rO9WKUiPCCysjyOe/s7hIBOvN5hDby0yO08jFssPADSMz1a1Li8CD6wvC5L17uxOb07AxARPJdW2TvljjU95i4bvPsk9bwe47a7N8YavSlNRbwadUy8Sb5iPO1qir1bdB483POivLSnpzywOb28Trt9vJS4YTujkNo7C6yaPEGC87sXhoG9fUPoPPE4D7vpzBK7KlwMO2NAtTyOyo28AqEvPZn1R73dYgS9tNe0PNG4KjyB4V+8F9fUO1v1/jxVpxA8xH+gO/iGfTxEL7I8wLGbvJ9iu7y+goU8LhtKPKKgmLzjvzm8S8wyvOZeKLviYJa7r2rBu+ntWLzQiZQ8ebWuuqDRHDw4hk+8TtoCPbM4Rr3KTK48d7YlvBR4sTyyqJ68rcvSu+5aTDz7o5S8aM5uPLE5vTpmToW8gyA0vEX/JDx2p165kfkjuxW3hbv4lcQ80UlJuzqUnzxY1a+7oHGCOwMByjy+shI9w6BmvNqEQTuOyo28Zk4FveQvEry/UQE8qi1bOiFyZ7xoblS9dAhwvHvkxLuoPZk8jbtGvARAnjorXAw9KE48PYr8iL0LrJq8NIg9vCLwDzzcs1c8XUMaPfP4Qzwnjoe81lYiPRd2wzyvKna5iX3pu0RgNjytK228AdG8vCqt37sfEs07mpS2vFVY/rx3FkC8ExiXPGxs5jtbBMa8jBxYPS0rCD0Peh+9k/isvLAqdjwLrBq9zrqYvJnFOrw1l4S8aX2bumgdAbzQiRS8WEWIPOXOgDwYdkO9mgQPvWpt3bysy1I93MMVvQMQkbzU9gc8QQETvdcW17yG33G8dxbAvJ2TP7yySIS8PAOBPaKgmLyFv6I82RVgPTwkx7wJXn85FeeSuwMQET3j/4S8T2qqu6Y+kLup/c08t8Z/vJ1jsjyhYcQ7kJkJPfLp/DwPCkc9PwIKPMzbXjssTE68GBapO9C5obx0F7c8lzWTPKmN9TsqHbi5gMEQvA+bZTzhIcI7Rm6GvUMwqTyHfmA8d7alPF0DTz3L3NU6U9iUPGl9m7xQOaY8zUu3PNqEwbwqXAy8onCLvAoNLDynLlI58/hDPL9RgbyGLgS9UJo3PG4L1by4pbk8CK0RO1l1FTwpTcW8aK0ovFFabLxyuBM9d7alvIwc2DtQ2Yu9sngROy/6A7y8swm9XaM0PK6qDDyOG+G7EhgXO7R3Gjw/Aoq8XDTTvPOI67y8QzE9hk/KvCpNRTv0J1q7Rh90PN1TPTuLKx+8dafeu/zTITxek3Y8qD2ZujqUnzzFn288mtQBPelN8zzl/o27j3t7PMrsEzzhMAk827TOOf7C7DpVl9K8NvYnPIgtDT2n/sS7t8Z/vLrUTzu7ZPc8Zm9LPYbfcTyPe3u83sKeOx101TzMGyo6QQETPWUw97sY1t07O2SSPDwDAb2uqow8DduwPLtk97xDwNC8yB2YPCCysrsGP6e864zHvFD60Tuvyts8XTNcPN8xAD39Y8k8hn9XvU7agjs1SPK8cAreOxU45rsuS9e8hO8vPEaPTLzHfbK7GNbdO4+6TzthQSy999UPvLJ4EbxRCRm90hjFOz4jUDxYZk68B//bvA8KxzxNO5Q8B64IPUEBk7rCgJe8fuPNu2wbE73U2Hk8lfe1u+1bQ70Nq6O6c6jVPMNAzDx3VRS9v+GoPDs0hTy4RZ878OrzvG1LoDrdYgQ8uEUfPE7aAr00uMq8dlYLPQUA07sjwIK8H3NeO2PQ3Dw5lRY9NmaAvMusSL3l/o27SmwYPRI53TsPShI9A8H+vEExoDyfMi69DZzcO/vE2rz3pYK7sQkwPRFJm7wvq/E8d6bnPJFZPrxVl9I8hk9Ku1kFvbwYNvg7pf+7PGgdgT1Bkbq8jMsEO/zTIT0CwvU8ZTB3PL9COj00iD0878mtPL2jyzpAwr68sKmVvEWfijxqfCQ83vIrvBoVMjwSeSi7VHeDvIDBkLzPWYc7dKjVu9fFA710eMi8FzdvPDs0hbqaNJy8CA6jO5gFhjwmf0A9kYnLu5P4LD0ddNU71iYVPTllCTzak4i8tkYWvWDSyjzp7di7v6JUu4TvL7xBgvO8g/AmuZ5iOzz2NiE8skgEvCqtX7xELzK9eiSQvHSHjzzLi4K8XjNcu3SoVTw7xKw7fUPovCiuVjyzyG28c4ePul8yZT24ZmU43POiumHhkbskgDe8ykwuPCfuobyYZSA9iysfu/KYqbzhsek7Q9AOPQgOI7ySaIW7EPt/vGKwDb2alLY85f4NPUz8P7xNayG9PoPqO0AiWTxyCec7YoCAPJhloDsS2UK8O+VyvC/6A71va++7GnXMvNe2vLwPGgW8Y6BPPCUQXzyMfPK5A+CDPAVgbTwhcue8SM2pPMFxUDy8EyS9Tss7O3C5ijv3pQI9OSU+PK6qjLsYRrY8DPz2PHIJ57w3R/s7FbcFuyKBrrwUqD48y3y7Oy67r7w6hdi8LRvKvD1jm7vm7k+7WKUiPIDBED3gwac84/C9vEAiWTzGHo88K4yZPKrcBz24ZuU8HhNEPfP4Qzy+csc8O8QsvPc1qjz1h/S6cgnnOzRYsDtb9X48mcU6PKOQ2rwaRb88b2vvPO/qczxKXVG9+cXRvNl1+rwhUSE864xHOU77yDypnTM83hNyvTwzDjsh8Qa9PwKKuw9Kkrt7RF89bOsFvbtk9zxOu328Trt9O0sszTxPaiq9hIBOvJ4CIbxzqNW6v6LUuweeyrw5ZYm8ac7uu4z7ETvkXx89rdqZOxFJG717RF898Opzup7SEzuIfuC8gMGQPBFJG719pPk7NIg9unemZzxw2lA7vGR3vAud0ztKbBi9zTt5PFamGbzQuSG9/mLSPOP/BD0YFim83xJ7PBmFCr1B0QW8h35gvJDJlrouS1e6QjApPTH5DLzDH4Y8HrMpvUMAHLuvOrS7DxqFu7ZnXLzkT+E7Bd8MPez7qLwPeh88Y+CavJzDTLvwKUi9i4wwPJ7zWbgtK4i8W6SrPBEZDj08M447xO6Bu6ExN73RKAM82XX6PHW3HDzfUsY7xt5DO3C5irw3xpq8rQonPFT447tEYLY7o5BavDZmgLs39qc8Y+AaPBA6VLw2R3s88Pm6PIp9abuQGmq7zLsPvEPQDrxEYLY8Rc8XPJdW2btQmjc9VnaMu9f1ELxLnCW94SHCuyKxuzzljjW9cuggvXpF1jwTCdA6Jw9ovIBCcbwi8A+9z9pnPEpd0bs+Mpe8f7LJvAwMNTzzxz+8Y3DCO0SQQ7w9kyi9qtyHvHdVlLwnHq88tAfCuvhlt7r5xdG832GNPHPooLqpzcA74yDLPCwcQbxcNNO7Q4F8vGKAAD0k75g6H9N4PBzU7zwn7iG87sqkO20LVTyQmQm8+yT1PBQXILw29ie89ibjO72jS7xs6wU5RJ8KvAg+MDzCgJe8GNZdvMp8OzycM6W71+bJu56iBj0zKKM7YzHuvIBC8bxAItm8XtNBPSTvGL0fgiW8xQ9IPIr8iDzti9A86e3YO896zbzmTmq8QsHHvE4KEL2DUEG8WEUIPH9Srztqbd07thYJvGR/ibxyGC68Zc9lvHnlOzzfMQA9KE68uztkkj3g8TS9f5GDvL4SLbxcE427aqwxvf6inTw75XK8OZUWPZ6ihrz6lM08Zk4FvRPoCTumDgO8ISGUOxQXoLz41Ji8vLMJvQACQTyqPKK8EZruPC+r8TuZBA+8Q4F8vO2LUDvWJhU6QTEgupq1/Duty9K7ETrUuwqsGryyeJE8zLuPPBu0oDsAYts82SQnvCd+STxw6Zc8cuggPB6zqbyC4V87zdteOh0TRDvNe8Q7O8SsO3hVlLjS2XC81Xfouky8dLtsqzq9zboYPHr0grsPep+8z9pnPZo0HLzOO/m8TTuUPP1yELx/grw7tcf2vI76Gj13tqW79QaUvJtUazzjIMs7D4mMOvnpwDzmF149D7zsPDagxLvhqBC9LYZOvQt8Eby+83O9O8uRO5JxXD1RjB28D4mMvCH9CrymYRE9WUj4PCKOzzqX/vu7I6whPSfb3Dx8nzA9jAKPOtXBMb2HV507r8w5vRmF+bxesw69ru55PDz6Az3KGuW8iiQGvWRvoLyfR2S7+kelO52HrTwWRZ48oDbEvFbZqjq0SLk7R2X1vNBFMrv56cC9NaBEPaP2+jwX1mK9LTWcvPDg6jpm3qQ8usQ4vGWeEjyULSU7tdn9uzvcMTyNk1O9rV21vFK7j7zG/Em9A8RtuhfFQroDs827gzmCPBj0ND0CMyk9ecGnvLXZfb37hzc9vDO9vNRBjTtT+yG8NIJyu7f3zzu9Yi89/0MAvaeQg7xsq1a9HfCPPEBYsTyvHew8YOJJvIAO/rzcbKM7QHrxO35sGbwWRZ48DKuDvQHzFjx+jtm8oEdkPUPlB722ph28Or5fva57hzqgNkS9qT8aPbRZ2Ty8Ip29r7uZPCaKqrspF4E8RCWavH5OxzyJhli8AfOWuh5fFL1m3iQ9ebCHOmRvILw24NY7KPmuPPylibz3KQq+Zs0EPQqAfz0Zo8u8voABPca8NzzPVlK9dhIRvPylCbze7Ee8NOANvdCFxLsupKA8vwCmu8sJRT0/2Ay96zGLPe3gIbwDYpu7uVU0vHA4dj18MPU6hheLPbYI8Ln3y268Bi8EPeAK47s3Pjs7anzkvNL0SDxcVaq6Z15JvF1V87ynMug8EUnDPIvkPDzCAO+7iYZYvPULOL3Ha068r0xeOxPJ57vhylA8eSN6OzMgIL2/QDi89JwzPaPUuj0DkQ28T92GPBd0EDyjw5o8cmfoPAjvOjslfXg87II9PZ+2nzx0dBq99px8vSbbXDzQtDa7c5ZavcV8Jb2Avcs8SvLLvASRjbz7RyW7/fa7vCDOmDwewWa99ykKPD/pLL1/LAc8wp6cvHJnaL1L0Iu9ac3NO84nYDwdH4K8GlKZu0VUjDzFjcW8jxN4PVXIirxHlGe9sXvQvP+2cjwPiYy8oXZWPSuGhT3KGuU7MKRpPSxofDwFABI9vvNzvJVP5byKRsa7R/ICPcDRfL0AhJK8tIjLO5CxJb16Uuw8T90GPe8+hjvKybK8aJ5bvaJltjxzlto8j3ETPThg+7w+ujo9ueZ4O0fygj3MZ6k781whPS5kjrw8i8i8yXiAPNRSrbzPVlI9nsc/vEF2A72OU0G9N/4ovb6AAb3O+O07iLUBPKYDdrwIAFs8LJfuPDbg1jwDc7u8nVi7vL9AuLuScVy8qX+sOj7LWr13o9U8rQwDPY0TLz2kg1G8gSzQPC51Ljt9ziK9ueZ4ux/fuDwpivO7HcHmPE3QVDwTuMc6DTxIvHqBXrwqV5O7F8XCuZ92DT0D81+80vTIPPB+GDz9JS68NbHkPDvcsTxMkEI8UH/rO274Gr0KXr87PvpMvUGYQz3bWwM8c5ZauwZApDzMyXs8GuPdvCz1iTvvT6a8VVmGPR5flDxTXfQ8uBUiPD7L2rw5rT88QUeRvGWvsjv9Ja68B9HoPELHNT0Y9DQ9Zt4ku2Iz/LyxqkI8lA9TPAEV1zzzixO9yRrlOpBC6rz42KA9Is5hvO9gxrnscZ271hLkvDUPgD1VmZi7rN0QvOL5QrxfIhM8O8sRvXM0CD0fjga9gmxiOz9pUbyBPXA9daOMvLfVjz1zxcy7a5q2OlRqpjwZNEc8dMXMPIZ5XTwMqwM8Wya4OrLZtL1dVXO8CR4tvXmwBzrAUdi7A2KbPOGoED0OWpo7Z2/pvIMb+bt2dGO9C3yRvJAT+LsLvCM78b4qvLFqsLvHa868yXiAPaQlbT0tRjw8axqSvCLO4bxsmjY9CO86PGt85LtVWYY9zMl7PO7PgTsk2xM99Qs4vdS0fzv0nLM88M9KPItkmLuaC/e6DY36vO4PlDwdQcK8qeH+vCabyjw9Opa8SMNZO9xbgzzltYu8l4uJOyjoDrwGonY8JnkKOw4rKLsGLwQ9rD/jO78iZjttK/u7oOWRPaghyLyqbgw6oRQEPbYI8DtUKpS81jA2PcvnhDyaaRK9c7QsvPH+vDxcRAo9wO8Fvc7FjT3zvnM9p5ADvaKUqDynkAM9qpBMvLpzhjyy+/S81EGNu0yhYr2rrh49jWThPFymXDvzHI+89RxYO81WiTyqEHG9A7PNPFVZhr3YXyg8jNMcPAHzljw8CyS9I71BvddB1ryaKQC8DhoIvZZtt7sFEbI8mikAPWIRvLwpivO8PPoDvnyfML3qwoY7oSUkveYX3jsHgLY8e3A+O2RvID0lffi8Nz47PIEsULw+qRq9YmLuu339lLtzllq8LmQOvcrnhDu2ph28VCqUPMT8ADxxxYO76ZMUvJacqTyQIKq6IA6rvC2GTr26FWs96ZOUPMHR/LoCREk9v++Fvf+2crwHwMi3lK2AvJT+Mjs3zza9+ql3vYHsvTxPf+s8k89AvCqXpbygNkQ9m+m2vF7zIL1clbw870+mvN0s2jz/tnK9fI4QvZxpWzsfzhi9qf+HvNXjcTt838K7kEJqPMPNDrx1NNE85IYZPblEFDz1Czg8kA+KvZu6xDzNpzs7IA4rPZxpW7xq/D+9elJsvA08SDt3QYO9rx3suyKsoTwL3uM6X4RlPHyfML3fOQy8Iv3TuyZKGDzbzvU7Qlh6vPJLAb22ph0910FWvAURsrxes448VmrvvPiYDrxQTIs7Y0AuPdjB+jwPvOy8Tx0ZvULHtTvb/Z48LTUcOhSWh7yiVBa9mNy7PBgFVbzBb6q852SiPBwSUDzV43G7pwP2O8mJIDwgzpi8MUKXPMBRWDxSXXQ9E6cnvT9Lf7znxvQ6Zs2EuolX5jtcply8mgt3u9hfqDz8dhe8Ca9xvPLtHLz9B9y83ZsVvA+rzLtdBEE88H4YPW0r+7sFona9tdn9u6ruMLzcbCO8WaYTvV1V87s8+oO8KWgzvAkeLTwk2xM97II9u5QP0zzMZ6k8CoB/Pfec/LtRjJ07ZF4AvcoaZTqMk4q8KajFvI+CMz3uILS8NQ8APdq9DL17gd46C83DO6ZhkbwdMKK8TX+iO8HRfDxrGpK8QGlRO/ZpnLusP+M81fCju5S+oDpG1LC84NtwPN7bp7wupCA9VVmGPBTWGT3FDeo8877zO4YXC73bTtE8CADbuc9WUr1BdgO7z0UyvF+E5bxyBRa6B9HoPBaW0Lz7x0m8GOOUvNM0WzxT6oE8wg0hPA5aGr0lGya8+enAPIiGDz0Wp3C8fJ8wPAuNMbsKDQ28yevyvF8ikzz13MW68b4qPCH9ijv82Gk6H/BYPGWekjzN1q08nRgpPDltLTy0WVk9NOANPKKUKLv5xwC9WIhBPGIAnDwReDW8z1bSvNIjuzrzS4E8pqEjPDltLbz3nHy7vCIdvZ1Yu7y/wBM9WWYBvZZ+17zw4Gq8AUTJPG0r+zsGQKQ7eCN6PKElJLzYTgi9UruPvCH9CjwrF8q8KajFvOHK0LwInog7elLsvJppEr1CxzU84Arju5jcOzxmHje8tXerPElyp71H8gI98I84PY5CobzbTlG9+0clPbnm+Drlxiu9wg0hPI2TUz3cfUM8JnkKvUQlmryfGHK8pgP2vD9L/7xMUDA8MnGJPP+2cjypUDq86hO5PG1a7bwz8S097z6GvBk0R7wQ6147Ip9vPGIz/Ly9okE8cpbavVdIr7s9nOi6hfm4vOI5Vbnt4CE8aI27vJ8YcrzbTtE8NbFkPNIF6Ts5bS07FOe5OyRbODnPVlI7GmO5PNv9nrxJw1k9FNaZvHIWtjyScVy7E7hHOn8sh7yXrUk9rC5DPNYBxLwhfS+8bgk7u6jQlbyM0xy8YLPXuw+rTLtZSPg8ebCHOfCPuDzt4KG8viLmOZVPZbx3QYM7fQ41u/628jviKDW8qW6Mu4o1JrxwuFE9OI9tO9Xj8by5RJS793q8PJVPZbyqEPE8Ul30u7gVIjy1Nxm9ImwPvSZKmDzXH5a88H4YvJjcuzyIKPS8QBgfvJO+oLsBlXs8pPKMvNUBRDx3UiM8RCWaO0lhB723N+I8MsI7PPScs7xCtpU8E2eVOwJESTzl10s8ifUTPQKVezsLvCM8nRipvPPtZby74oq8IM4YvB+OBjpMoWK8iLWBvFdILzof8Ng8anzkvHpSbDz95Zu8FXj+vCmK8zxpvC29WHehvA+87DwgcH28+SnTvKgyaLyTz8C9qeF+Oyz1CT0utcA8F3SQvFJddDvQNBI91zC2PB/w2DwlWzi9Ns+2u7gVIrxjwFI8H5+mu6lh2jzV4/E8QXYDu/lYxTqyiII7fc6ivMb8STmWXJc8yrgSuzycaL0Iryi84Kx+u0lhBzzKuJK8RtSwvImGWDwin2+5rD9jPIA9cLwycQm9YLPXPPNLgbzVAUS8ln5XujvLkTwVRR665OjrPHA4dr2gR+S8qX8sPOI51TvFjcW8le2SO94sWj2GFws8K8YXvImG2DubusQ8LvXSvBNnFb1kkeA8RDa6POoCmbyvHey8/KUJvAaidrzZ38y8xXylPB3wD70v0xI76fVmu1g3jzw2j6S72PBsPBAaUb2vOz68QBifvF4EwTzVEmS8yFouvIzTHDt6Umy8H/DYulpIeLu2Zgu9ckWoO0GYwzy5hKY76kKrvEfygrwR+JA8wFFYPNffAz2dGCm8hhcLvPx2lzvA7wU9Ou3RuzWxZLwTZ5W8t2bUvFW7WLfyPs88qxBxvOsxC72aOiC9P0v/vO3xwbvEXlM8jRMvvN3KBzypULo8mBzOPJ1pW71Edsy8svv0O1nIUzzMJ5c7svv0PKu/PjxENrq8Ua7dPE1uAj3zixM87II9vFxECrwz8S05e3A+vFyEnLzO+O27V2rvuyq55by/L5g7xY3FPBq06zuai9K6e7BQPe7PAT33aRy9vpEhvGcNl7sA5uS87z4Gva7u+buxqkI8MaRpOBuBizuBPfA7875zPH6O2TxTXfS8HfAPvYHbnbx9ziI9/1Qgvc3WrbyDOYI8FqfwvJzYlrzHa868o/Z6vKTyDL1t2ki8uhVrPWiNO70DxO08ZG8gPbc34rx4gRW9XrOOvN395zx0dBq9gA7+vIi1Abwh/Qo8GmO5vHJFKDqB2527uGZUPddwSDxB2NU821sDPKn/B7yFeV27opSoO1cIHTw5XI08fN9CO/H+PDxhkRc77HGdO5/p/zzhylA8e3A+vTZ+hDtx1qO7iAa0PEQlGj1G5dC7k8/APDFCF71MkEI8jSRPPFY7/bu8Ih282/2evIaoT7yPgjM8cJaROuc1MLumcjG8AiIJu7DqC70Ulgc9bdrIPEQlmjy0CKe8wp4cvCmoRbwkLMY8zwWgvOO5+TzWEuS8jlNBu1ymXLwZNEe8T39rPMMNobu/Iua7C3wRO82WmztyBRY8XYQcvTjtCL2kJe08zGcpvLL79LsA1UQ8SXInO0/uprwecLQ6BPNfuwUAkjxIsrk7LZfuOsx4STwk7LM8KDnBPMDR/DyMBv248+1lPBT42TtfMzM8ApV7OuXGK7zvsfi8uUQUPM4nYD1tWm28YaI3vIlX5jsQCTG8FwVVPfcpCjwBRMm877H4u4ZoPTyZS0C8GSMnPf+UMrukAy28HR8CPbYI8LybC/c8FSdMPFPqgbz4qS69uBWiPF3zoLoGona7RwMjvVtmyrzi+UI8nun/O/b6Fz1C5Qc8VggdvaP2+jsQ2j67zae7PGGiNzt8n7C8jGRhPD7LWrzc/Wc6tzdiOzMCTryilKi8rUyVvHofjLtojTu8K9e3O7PZNDxsK/s6ZJHgvANzuzxBhyM89kvKPKwuwzyMkwq8wFHYu8FvqrxPUHk8knFcvCUKBr1fIpM84vnCPEgylTzNyfu8rB2jPLb3TzxJw9m6RzIVvPXcxTw5bS08DhqIvMKenLyqEPG8MVO3PHBnnzyCbOK87g8UO+tCKz1PUPk8xby3vHVF8byFSus6rN2QPDbg1jxwp7E8B9HovIEsUDzrpP288I84u2dNKbwmSpi8xqsXPUdDNbtPf+s8zudNPGLACbycKck8ZG+guxP4WbyyWRC8NIJyu49xkz2dGKm8XrOOuxj0ND01seQ8/HaXOmWeEj3VEuQ7jjEBPCfb3DxdhBy9wFHYOXCnsTz5x4C8N76WvDVPErv0HNi8CJ4IvDQgILwLzcM7Dmu6vPylCbw0gnK8prJDvMnaUrztAmK8HnA0PC01HDtPf2s9iYZYvFg3Dz3X34M8d0EDPdFjhDwqueW7eLCHvAPivzwYo4K8Z29pvK1MlTuXrcm81eNxPNFjhDuTz0C7e7BQu0JY+jtPf+u8JzlBvJCghTuTviC8VZmYPAve4zr6qXe8VCqUvNcflrtAKb+83uxHvN85jD31HFi8czQIvHuOEDykMh+8RVSMO+dkorwwpOk8ydpSvLDqC7z1ugU8hUrrPMganDuEqIa845c5vIS5Jr2ymSI9SDIVPT16qLyR4Be95fWdu6lh2ju094Y7rx1sPBkShzwOWho6rQyDO5CxJb0JHq28TFCwu17iAL0vkwC7PWkIPULHtTyuncc8iiSGu8pJVzzdrLW8HAGwPOTXyzmEuSa9JpvKO0qhGTzyLS89Cg0NPOOXObzzvvM7/7ZyPAZRxLzzSwG8diMxvXqB3rx1Fn883sqHu3TFzLzEXtO8Is7hu/XLpbudBwk6mMsburgmwjxcptw8mimAuzmPbbwenyY8KPmuPM9WUju5hKY8Z00pPDgtmzwqVxM9OGD7O10EwTvXQVa8yImgOq57Bzzi14I70gVpvMharrwv5LI8KPmuPA4rqLykJe28A8TtvC/Tkrxnb+m7pmERPIgodDtmzYQ8JptKve4PFDxEJRq9g8rGuw6NejuAvcs8eIEVvTqcnzwo6I67+SlTOkvQCzxN0NS8AbMEvADVxDsj7DO8bKvWOs347bwh/Yq7C40xu7KIgjpEJRo9glvCOx0fAr0jvcE8Vxm9vNIFabyfdg29mUvAPH49J73fSiw8LIbOO82WmzwpaDM8g7kmvC/ksjvI63K9OGD7PI7Cxbxonlu94NvwPC7G4DycOmm8FwXVPAmv8by2ph076zGLvLYI8Lw4YHs8/NjpPLMqZ7rWEuQ8BqL2vL/AE7z8pYk7inU4vLcEAr3uMdQ8PZzoPMnaUrwvdXc87eAhvYYoqzwL3uO8e4HeOq0MA7xzNAi7W5U8PH1f5zy4JkI8UEyLOwai9rxsSQS8BlHEPHR0mjsOjfq7EOveu3dSI7yArKu76hO5PIjXQTwWp/A7iLUBvV9iJbzE/AA8mimAPMfaibyqfyy6A7NNPDq+3zpgUQU8/2XAun8sBzuHV508mzrpuvcpirw8bXY9BRGyu3Dnw7qp/we9gkqiPEshvjzGK7y8IM6YvDz6Az2OcZO72h9fvOdkoryI10G9UrsPPEQlGrxm3qS8pmERvDRgMj1Dh+w59boFvIOb1Lv7NgW9A8RtvO2xr7yMZGE8FkWePMvnBL2pYdq8n3YNPJsLd7yJhtg7oOURPZeLCb23N+K5elLsuzLT2zwxk0m8ccUDutF0pDzd/We8p5ADOoJbwjxHFEO8d0EDPYxkYTsb0r28/5SyOsq4krzpk5S7ApX7uaF21juOk1O8Wkj4u+RGhzy/EUa8h1cdvKD2MT0WltA5kmC8vNxbA737NgW9YHNFPYHbHb3vsfi8bcmou9395zyLtUo8LJduvMv4pLyqf6y81EENve/PyrwbgYs8Iv3TOxaW0Dy4BAK7ZG+gvBpSGTss9Ym7C95jvCZKmDwtNRw9LvXSvNdOiD26Feu81cGxvHgjejysP+O7Ou3RvDQgoLvkhhm9ZJHgPP9UILvtAuI82Z+6vHzfQryJ9RO8tzfiuTQxQLwEkY28g5tUvKwdI7pUjGY7BqL2PMBRWDyX/vu7u+KKvK8MTDw+qZq8T90Guu6xeDwqueW79ktKvBV4fjyRIKo8gSzQO8IA77zkVyc8+KkuvOn15jt1o4w8Y8BSvEsQHjopuWU8Ze9EPF3zoLt9X+c7/QfcO/628juiVJa8MAKFu2Jibjyg5RG9xE2zO8h4ALyoMmg7ZF4APXzfQjzrpP28f47Zuz6pmjwxcYk6LGj8vAoNDT3t4KE7JX14vJn6jbu/Eca6WftWPPeCizsUmkE94m4XPfkOD7y3wuW8EYI6vbskuLx0/SC92S68vJ556zycDYK8KfVlvIOniDoPEzY9GN8UPS+5CrucKoE7aySQPEpu7jwYGZM9UtuVuw9AAr39+cm6R1kCvfcoc7zj6s28jIAZPf+FzTsfOdS8ooTAvIYjv7xlQ2y6JBfdO/KkAj1J5QU9LkqGvFUtGzwTAQw9U5HKvHTQVDwP9ra9JScqPQbw2Twaaxi9NvZKvcWJzLo+jaM82Gg6uyD/VTxI4uq7UU8SvWjviTyL1xa91RY1u1AiRrzpuyS9GfwTvDVNyLttc3q8DiBoPCoFMz01A/08/b9LvFruJL2B3us81UOBvKrhmjyBOIS8UviUPNg7bjyZm2I8y2fVvHGrm7tV8xy9LHS3Ol4jqzxAstw8tLqrvNxT9bxYfyC71vm1PGwHkToV5Iw7Ex4LvaGhvzwwfww9+2CUPVbWnbyebLm6BwAnvTf2SrxNwPO8zsknPd/iEz3WCYO9nfACPbsHuTtlQ+w8wlRGvL8vDT3SxC+9jPQVPJ6mN72nf0g9ox32O03Ac7v8Fsm7vZO8PJmOsLyjdw6++f7BuoBVgz2ebLm7aJVxPCdpYjwSOwq9qsQbveZMoLuretA72T4JvftAejwz3sO7PlMlPK+S1zvM89i8xfAWPRSaQTu5XjY8rsxVvCxXOD1Km7q8RxxpPXWW1rxyfs+8kl4iPR5z0ry9LHK89Mk7vYRdvTtxyBo84upNvCN+p7wxnAs9F3CQPC1nBTx9AOO6vwLBOmIuAL38Q5U7TeCNPL3dBzyaYWQ8iIWRvBCvhr2/L428mxo0PcDIwj0vmfC8zbnaO2ffPD2QpVI9Lsa8PHTQVLzeKcS8aAyJPaG+vjw6SFC9uJg0vUFrrDzj+hq75N2bvXhspbw7ASA98CUxvXHImryP39C6r9wivTVqRzwATE+9YwE0vBJ1CL0XCUa8P+xavKd/SL1SZH69+rcRvMwgpTq5xQA71WAAvITEBz01ake9Oa+aPW//fbuqxBu9BXQjvVEykzxEyuO8xND8PLLkXD0LzmK8qe5MPRznTrsbMZo8KCKyu3RUHr0q+AA8K4FpPTBvP725bgO9PlOlO9/vRb0Ut8A8F89HPbBYWTxi8ea7FceNvRznzjw3Bhg9oDK7O+GoFb0rdDc9DkCCuxE4bz3mEqI7So4IPf+yGTwMwTA8U2R+PEdZAr1srXg9FbfAO6D4PLw9YNe8aiH1vABcnLtxqxu8ZkaHud7f+Lt6oas8wlTGPOcC1TuHkkM8ZYAFvFSEmLw7DlI84VEYvGO3aL3x3gA9L7kKPZph5DyMU028U6EXPWVTubzvCDK9OVgdvGzNkrwIjKq8YXWwuhjPR7nylDU85kygvKIIirzmTKC8W5enO6Y1fTxKjgi9ynciPaynnLulEES7gUU2PYLROTz6Dg+7ZoCFvBrCFb2+owk85MAcvbb8Yz0FOiW7E/G+O2JYMbxnz+8718+EvKLrCj0sOrm8NWpHPaNX9DyDxIc8LA3tu5SwJ71Ry8g8uosCvE95QzyF9vK8vKBuPVRXzDzfpfo8ZmOGO6bWRbsl7Su7llmqOjbJfjwS/nC83FP1vEaTAL0GOqU9UU+SPN2QjjyaYWS8hsxBvJwNgj0Rcu08I2EovCN+JzyNnRg8Q/evO/rEwzw5gk6892UMvLs0BTwMlGQ9dZbWvD4mWT1IqGy8wX73O0ZW5zzs8Ko8IPIjPdhoOryfX4e80ButPI/Snr2hvr68LKEDvWWdBDu/8nM6F1ORPBii+zx4Mic8Eki8vDf2yjtFgzO9+zNIu07gjbtolfG74MWUvDAldDvt06u7XV0pPQ9AAj3cU3W7NV2VPPTWbbyRe6E8vMCIPBytUDvZW4g97NMrPd//krwZpRY9qGJJvbOq3jo7ASA9xrYYO/QTBz2OGU+8dZZWvcMNljzN5qa8gUU2vTi8TDwVUPa7ox12O6yKHby72uy7z3KqureIZ7zPcio8TtBAu5P3V7zo9SI9kV6iPBCs6zy8ZnC8D+ZpPYBygrx1/aA84upNPFL4lDytBlS8rEBSPfjhQjw0lxO9UD9FvXNE0TyWSV08PiZZvSJRWz3dRkM9Wu4kvSuRtjx/jGY8blkWvEagsjw0pEW8kKVSO9h4h71rBxE9BvDZPNiVBrwns628+nr4OjQ9ezwhuCW9BrZbO+GLlr3mEqK7b0nJOiwdurvWCYO9dRogvaLrirx6rt28+2AUvTLr9bxjt2g8ndMDPRTUv7zPRd68EYK6vUcc6by2/GO8JtCsvKOEwLlIqOw73HOPu6p6UD2HksO8BVckPKKxDLqkWo+8oy1DvGT0AbuCtLo6PiZZvCdp4ru+owm87mzhPLRwYLurxBu85hKivJTqpTtxq5s8Ox4fvY4pHL0UmkE9casbPMDlwbvDDRY92SGKvZS92btFkGU6TtDAvIE4hDwS/vC8TFSKvWpBDz2iCIo8eq5dPDmvmrz01m09hDDxvPrEQ72PDB08zPNYvKNaDzto0oq9hrz0vH+MZjumuca84TH+uusqKTxBa6y8hF29Ow/phLzeHBI8KtsBPRYWeDnZPok8ptZFvWvndjw4vMw818+EPA72NrxYb9O8AdhSvHw6Ybz7fZO9M8FEPBhofTwL+648hvkNvOExfr2JHse8WvvWPOpkpzzCVEa8cnEdvIydGL3hqBU9jPQVPPZi8by/8nM7ogiKvMGrwzuTJCQ7LsY8PB851Dw0d/m8eoSsvOExfjwZLv88F+xGvPszyDuTQSO9U2T+O0thPLxv//28prnGPDiSmzsc5867ToZ1vNuNczxMRL28+0D6u0Cy3Dup7kw9EXJtvRJYibygBW+8zeamvGjSCjx56Nu8zqwovH+cMzz2rLw7SFmCu7OdrDsAEtG8OkjQu/bZiLw1XZU8pKl5PLtRhLuRa1S9Kq41vOfYo7z0Ewe8zPPYvHn4KLujLcO7LEdru6ElCTxWLRs91SaCvOEx/jwqrrU8xND8PBpby7zM81i871+vvMa2mDyH3I68UstIva4WIT0LzmK8bOqRvE3A87xiWDE8abULPcwDprxXb1O8rtwivGcpCDvWCQO9ZH1qO6j7/ryXWSo9gv6FO11N3DwwX/K83UZDPaGhP7ypGxk9b//9u/wmFj0t47s87bYsPBpby7xYRaI8JBfdu5C1H70TAQy8aWtAO/X2B73YeIe8abULPXGrm7z97Je7r9yivF1N3Dx8Zy097OBdPFfWHb0y7pC7CULfPIVtCj14Itq7x0IcPOfYozvpVNo7Nsn+vAR0o7rwvuY7mAKtPIBygrz58Y+7aaW+u5ph5DzeKcQ8RYOzPAbw2Tvbyow9v0wMPP0WSbuy5Ny8oCUJuyquNTwpBbO8/FDHvDF/jLumuUY8frmyPHq+KrqvhSU8EKzrvCQnKruXWao8RPcvvVAFx7xbtCa8opQNPaHLcDupOBi8XkCqO6Dbvbz12Qi9gFUDvYsRFTzZS7s7JrMtvNav6rzvX687mydmvLERKb02XZU78M6zvJ8/7TwXcJC8cOUZPBSKdL3wJTE904qxPGl7jbwaW0u90pfjPGZjhruYAi29F3CQPAhCXz28wAg9quEavU3A87wjYai8CULfvB6DH72H3I67B+OnO7kUazyc7ee8rQbUPNL+rbxPww496J4lO1VnmbwJQl88ucUAPBPE8rwyKI88fQDjvZdZqjtj9IG7JqPgu6AyuzoQrGs8ucWAvL1m8LyYHyw8s/SpuwAS0TwFVyQ8E/G+OwFcHDz1MAY7R2Y0PTmSG7wQrOs8bc0Svcwt1zw//Kc8WQukuYFFtrvzdzY9q+GauxcmRb05gs68RL2xu2yteLywhaW8tikwO5gCrbx4Ito8A+gfvIfcDj2c4DW9kjFWPCn15bujlA08lAclvOI0GblmNjo8qRuZOvDOs7w/UyU9ptZFvNNd5bxAsly89qy8PL5Zvry6FOs8K5G2vGpBDzyjWg+9g2rvvAiMKj37fZO8hDDxOXDlGT3zEOy8aXsNvLqLgrx3XNg8CgjhvKLrijtWuZ48gGI1PFLLSDsxRY48zbnau+Owz7ygBe86xCoVO9ydQDzVFjU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\ No newline at end of file diff --git a/neo4jWorkDir/vdb_entities.json b/neo4jWorkDir/vdb_entities.json index 862b63ae..15a3c925 100644 --- a/neo4jWorkDir/vdb_entities.json +++ b/neo4jWorkDir/vdb_entities.json @@ -1 +1 @@ -{"embedding_dim": 1536, "data": [{"__id__": "ent-0c2b37d1780e9e19d0ba1faf58e14b95", "entity_name": "\"PROJECT GUTENBERG\""}, {"__id__": "ent-82f52f56e24c07ad2f4dddf80b457b27", "entity_name": "\"A CHRISTMAS CAROL\""}, {"__id__": "ent-5e3796127fed0a8d0f8fa34ea31ee1ad", "entity_name": "\"CHARLES DICKENS\""}, {"__id__": "ent-5dc1646caa8df15631eb0a81c44b66a5", "entity_name": "\"ARTHUR RACKHAM\""}, {"__id__": "ent-b83f6a2cea55806eb0f2fac8bad9e91c", "entity_name": "\"EBENEZER SCROOGE\""}, {"__id__": "ent-acf729c0d7257aa7f784ac89d558b4e7", "entity_name": "\"BOB CRATCHIT\""}, {"__id__": "ent-c9e99f232f33c239ec7b9ab4a377a96e", "entity_name": "\"TINY TIM\""}, {"__id__": "ent-42f12d03829bf38654f3c7e8ffe73155", "entity_name": "\"GHOST OF CHRISTMAS PAST\""}, {"__id__": 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\ No newline at end of file diff --git a/neo4jWorkDir/vdb_relationships.json b/neo4jWorkDir/vdb_relationships.json index 3a6ebe9f..88cdf0ce 100644 --- a/neo4jWorkDir/vdb_relationships.json +++ b/neo4jWorkDir/vdb_relationships.json @@ -1 +1 @@ -{"embedding_dim": 1536, "data": [{"__id__": "rel-6eb3640b223de6045acf87388869f9a5", "src_id": "\"A CHRISTMAS CAROL\"", "tgt_id": "\"PROJECT GUTENBERG\""}, {"__id__": "rel-9a63c7abbdf17c06de48707ee44654e8", "src_id": "\"A CHRISTMAS CAROL\"", "tgt_id": "\"CHARLES DICKENS\""}, {"__id__": "rel-340794151229e5fa83ca4175387aa236", "src_id": "\"A CHRISTMAS CAROL\"", "tgt_id": "\"ARTHUR RACKHAM\""}, {"__id__": "rel-dd229abdba1dfef9674d2fd02056770e", "src_id": "\"EBENEZER SCROOGE\"", "tgt_id": "\"TINY TIM\""}, {"__id__": "rel-f9f169d75a88e9cad0c1a955a0a1fda7", "src_id": "\"BOB CRATCHIT\"", "tgt_id": "\"EBENEZER SCROOGE\""}, {"__id__": "rel-3e149bc9dfea0de69c10a1523edce48b", "src_id": "\"EBENEZER SCROOGE\"", "tgt_id": "\"GHOST OF CHRISTMAS PAST\""}, 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"} \ No newline at end of file diff --git a/test.py b/test.py index 4167222b..aa7179c1 100644 --- a/test.py +++ b/test.py @@ -1,15 +1,34 @@ import os from lightrag import LightRAG, QueryParam from lightrag.llm import gpt_4o_mini_complete, gpt_4o_complete - +from pprint import pprint ######### # Uncomment the below two lines if running in a jupyter notebook to handle the async nature of rag.insert() # import nest_asyncio # nest_asyncio.apply() ######### -WORKING_DIR = "./dickens" +WORKING_DIR = "./dickensTestEmbedcall" + + +# G = nx.read_graphml('./dickensTestEmbedcall/graph_chunk_entity_relation.graphml') +# nx.write_gexf(G, "graph_chunk_entity_relation.gefx") + +import networkx as nx +from networkx_query import search_nodes, search_edges +G = nx.read_graphml('./dickensTestEmbedcall/graph_chunk_entity_relation.graphml') +query = {} # Empty query matches all nodes +result = search_nodes(G, query) + +# Extract node IDs from the result +node_ids = sorted([node for node in result]) + +print("All node IDs in the graph:") +pprint(node_ids) +raise Exception + +# raise Exception if not os.path.exists(WORKING_DIR): os.mkdir(WORKING_DIR) diff --git a/testkg.py b/testkg.py index 7254c095..0c6e7d61 100644 --- a/testkg.py +++ b/testkg.py @@ -8,8 +8,7 @@ # nest_asyncio.apply() ######### -WORKING_DIR = "./neo4jWorkDir" - +WORKING_DIR = "./local_neo4jWorkDir" if not os.path.exists(WORKING_DIR): os.mkdir(WORKING_DIR) From f95384b68cd7ea0afda5efafe73587ac3b0f33a9 Mon Sep 17 00:00:00 2001 From: WinstonCHEN1 <1281838223@qq.com> Date: Wed, 30 Oct 2024 15:36:44 -0700 Subject: [PATCH 129/258] fix:Step_3.py context --- reproduce/Step_3.py | 4 ++-- 1 file changed, 2 insertions(+), 2 deletions(-) diff --git a/reproduce/Step_3.py b/reproduce/Step_3.py index a56190fc..2c5d699c 100644 --- a/reproduce/Step_3.py +++ b/reproduce/Step_3.py @@ -18,8 +18,8 @@ def extract_queries(file_path): async def process_query(query_text, rag_instance, query_param): try: - result, context = await rag_instance.aquery(query_text, param=query_param) - return {"query": query_text, "result": result, "context": context}, None + result = await rag_instance.aquery(query_text, param=query_param) + return {"query": query_text, "result": result}, None except Exception as e: return None, {"query": query_text, "error": str(e)} From eb60adf64d1b64559cb14c87a271c2347a71abec Mon Sep 17 00:00:00 2001 From: gogoswift <48036113@qq.com> Date: Thu, 31 Oct 2024 11:32:44 +0800 Subject: [PATCH 130/258] Update operate.py MIME-Version: 1.0 Content-Type: text/plain; charset=UTF-8 Content-Transfer-Encoding: 8bit 修正输出格式与合并函数 --- lightrag/operate.py | 26 ++++++++++---------------- 1 file changed, 10 insertions(+), 16 deletions(-) diff --git a/lightrag/operate.py b/lightrag/operate.py index 8a6820f5..ef0d3398 100644 --- a/lightrag/operate.py +++ b/lightrag/operate.py @@ -15,6 +15,7 @@ pack_user_ass_to_openai_messages, split_string_by_multi_markers, truncate_list_by_token_size, + process_combine_contexts, ) from .base import ( BaseGraphStorage, @@ -1003,35 +1004,28 @@ def extract_sections(context): ll_entities, ll_relationships, ll_sources = extract_sections(low_level_context) # Combine and deduplicate the entities - combined_entities_set = set( - filter(None, hl_entities.strip().split("\n") + ll_entities.strip().split("\n")) - ) - combined_entities = "\n".join(combined_entities_set) - + combined_entities = process_combine_contexts(hl_entities, ll_entities) + # Combine and deduplicate the relationships - combined_relationships_set = set( - filter( - None, - hl_relationships.strip().split("\n") + ll_relationships.strip().split("\n"), - ) - ) - combined_relationships = "\n".join(combined_relationships_set) + combined_relationships = process_combine_contexts(hl_relationships, ll_relationships) # Combine and deduplicate the sources - combined_sources_set = set( - filter(None, hl_sources.strip().split("\n") + ll_sources.strip().split("\n")) - ) - combined_sources = "\n".join(combined_sources_set) + combined_sources = process_combine_contexts(hl_sources, ll_sources) # Format the combined context return f""" -----Entities----- ```csv {combined_entities} +``` -----Relationships----- +```csv {combined_relationships} +``` -----Sources----- +```csv {combined_sources} +`` """ From f0524598c827d01fd6835fdea129747b36a5647d Mon Sep 17 00:00:00 2001 From: gogoswift <48036113@qq.com> Date: Thu, 31 Oct 2024 11:34:01 +0800 Subject: [PATCH 131/258] Update utils.py MIME-Version: 1.0 Content-Type: text/plain; charset=UTF-8 Content-Transfer-Encoding: 8bit 混合检索的合并函数 --- lightrag/utils.py | 37 +++++++++++++++++++++++++++++++++++++ 1 file changed, 37 insertions(+) diff --git a/lightrag/utils.py b/lightrag/utils.py index 0da4a51a..3daefb88 100644 --- a/lightrag/utils.py +++ b/lightrag/utils.py @@ -244,3 +244,40 @@ def xml_to_json(xml_file): except Exception as e: print(f"An error occurred: {e}") return None + +#混合检索中的合并函数 +def process_combine_contexts(hl, ll): + header = None + list_hl = hl.strip().split("\n") + list_ll = ll.strip().split("\n") + # 去掉第一个元素（如果不为空） + if list_hl: + header=list_hl[0] + list_hl = list_hl[1:] + if list_ll: + header = list_ll[0] + list_ll = list_ll[1:] + if header is None: + return "" + + # 去掉每个子元素中逗号分隔后的第一个元素（如果不为空） + if list_hl: + list_hl = [','.join(item.split(',')[1:]) for item in list_hl if item] + if list_ll: + list_ll = [','.join(item.split(',')[1:]) for item in list_ll if item] + + # 合并并去重 + combined_sources_set = set( + filter(None, list_hl + list_ll) + ) + + # 创建包含头部的新列表 + combined_sources = [header] + # 为 combined_sources_set 中的每个元素添加自增数字 + for i, item in enumerate(combined_sources_set, start=1): + combined_sources.append(f"{i},\t{item}") + + # 将列表转换为字符串，元素之间用换行符分隔 + combined_sources = "\n".join(combined_sources) + + return combined_sources From 4b92161c37bc5756036ef4ea541924ad81ec027f Mon Sep 17 00:00:00 2001 From: gogoswift <48036113@qq.com> Date: Thu, 31 Oct 2024 11:52:06 +0800 Subject: [PATCH 132/258] Update operate.py MIME-Version: 1.0 Content-Type: text/plain; charset=UTF-8 Content-Transfer-Encoding: 8bit 消除text_units_section_list源文件的换行，统一混合检索上下文合并时的转换 --- lightrag/operate.py | 4 ++-- 1 file changed, 2 insertions(+), 2 deletions(-) diff --git a/lightrag/operate.py b/lightrag/operate.py index ef0d3398..3d7a752e 100644 --- a/lightrag/operate.py +++ b/lightrag/operate.py @@ -523,7 +523,7 @@ async def _build_local_query_context( text_units_section_list = [["id", "content"]] for i, t in enumerate(use_text_units): - text_units_section_list.append([i, t["content"]]) + text_units_section_list.append([i, t["content"].replace("\n", "").replace("\r", "")]) text_units_context = list_of_list_to_csv(text_units_section_list) return f""" -----Entities----- @@ -788,7 +788,7 @@ async def _build_global_query_context( text_units_section_list = [["id", "content"]] for i, t in enumerate(use_text_units): - text_units_section_list.append([i, t["content"]]) + text_units_section_list.append([i, t["content"].replace("\n", "").replace("\r", "")]) text_units_context = list_of_list_to_csv(text_units_section_list) return f""" From b91d3912ccd657816d86c4afff8cdfdacbb5ef07 Mon Sep 17 00:00:00 2001 From: gogoswift <48036113@qq.com> Date: Thu, 31 Oct 2024 14:31:26 +0800 Subject: [PATCH 133/258] Update utils.py --- lightrag/utils.py | 40 ++++++++++++++++++++++++++-------------- 1 file changed, 26 insertions(+), 14 deletions(-) diff --git a/lightrag/utils.py b/lightrag/utils.py index 3daefb88..7b17cbb6 100644 --- a/lightrag/utils.py +++ b/lightrag/utils.py @@ -1,5 +1,7 @@ import asyncio import html +import io +import csv import json import logging import os @@ -7,7 +9,7 @@ from dataclasses import dataclass from functools import wraps from hashlib import md5 -from typing import Any, Union +from typing import Any, Union,List import xml.etree.ElementTree as ET import numpy as np @@ -175,10 +177,21 @@ def truncate_list_by_token_size(list_data: list, key: callable, max_token_size: return list_data -def list_of_list_to_csv(data: list[list]): - return "\n".join( - [",\t".join([str(data_dd) for data_dd in data_d]) for data_d in data] - ) +# def list_of_list_to_csv(data: list[list]): +# return "\n".join( +# [",\t".join([str(data_dd) for data_dd in data_d]) for data_d in data] +# ) +def list_of_list_to_csv(data: List[List[str]]) -> str: + output = io.StringIO() + writer = csv.writer(output) + writer.writerows(data) + return output.getvalue() +def csv_string_to_list(csv_string: str) -> List[List[str]]: + output = io.StringIO(csv_string) + reader = csv.reader(output) + return [row for row in reader] + + def save_data_to_file(data, file_name): @@ -248,8 +261,8 @@ def xml_to_json(xml_file): #混合检索中的合并函数 def process_combine_contexts(hl, ll): header = None - list_hl = hl.strip().split("\n") - list_ll = ll.strip().split("\n") + list_hl = csv_string_to_list(hl.strip()) + list_ll = csv_string_to_list(ll.strip()) # 去掉第一个元素（如果不为空） if list_hl: header=list_hl[0] @@ -259,12 +272,11 @@ def process_combine_contexts(hl, ll): list_ll = list_ll[1:] if header is None: return "" - - # 去掉每个子元素中逗号分隔后的第一个元素（如果不为空） + # 去掉每个子元素中的第一个元素（如果不为空），再转为一维数组，用于合并去重 if list_hl: - list_hl = [','.join(item.split(',')[1:]) for item in list_hl if item] + list_hl = [','.join(item[1:]) for item in list_hl if item] if list_ll: - list_ll = [','.join(item.split(',')[1:]) for item in list_ll if item] + list_ll = [','.join(item[1:]) for item in list_ll if item] # 合并并去重 combined_sources_set = set( @@ -272,12 +284,12 @@ def process_combine_contexts(hl, ll): ) # 创建包含头部的新列表 - combined_sources = [header] + combined_sources = [",\t".join(header)] # 为 combined_sources_set 中的每个元素添加自增数字 for i, item in enumerate(combined_sources_set, start=1): combined_sources.append(f"{i},\t{item}") - - # 将列表转换为字符串，元素之间用换行符分隔 + + # 将列表转换为字符串，子元素之间用换行符分隔 combined_sources = "\n".join(combined_sources) return combined_sources From 55cce796b970b36b4937a94545455a3030c11071 Mon Sep 17 00:00:00 2001 From: gogoswift <48036113@qq.com> Date: Thu, 31 Oct 2024 15:17:02 +0800 Subject: [PATCH 134/258] Update operate.py --- lightrag/operate.py | 4 ++-- 1 file changed, 2 insertions(+), 2 deletions(-) diff --git a/lightrag/operate.py b/lightrag/operate.py index 3d7a752e..ef0d3398 100644 --- a/lightrag/operate.py +++ b/lightrag/operate.py @@ -523,7 +523,7 @@ async def _build_local_query_context( text_units_section_list = [["id", "content"]] for i, t in enumerate(use_text_units): - text_units_section_list.append([i, t["content"].replace("\n", "").replace("\r", "")]) + text_units_section_list.append([i, t["content"]]) text_units_context = list_of_list_to_csv(text_units_section_list) return f""" -----Entities----- @@ -788,7 +788,7 @@ async def _build_global_query_context( text_units_section_list = [["id", "content"]] for i, t in enumerate(use_text_units): - text_units_section_list.append([i, t["content"].replace("\n", "").replace("\r", "")]) + text_units_section_list.append([i, t["content"]]) text_units_context = list_of_list_to_csv(text_units_section_list) return f""" From e966a14418e02c0f93cf987ea4588ae3d74667cf Mon Sep 17 00:00:00 2001 From: Ken Wiltshire Date: Fri, 1 Nov 2024 08:47:52 -0400 Subject: [PATCH 135/258] set kg by start param, defaults to networkx --- .gitignore | 1 - lightrag/kg/__init__.py | 2 +- lightrag/kg/{neo4j.py => neo4j_impl.py} | 0 lightrag/lightrag.py | 27 ++++++++++++++++--------- lightrag/operate.py | 26 +++++++++++++++++++++++- lightrag/storage.py | 2 ++ testkg.py | 3 ++- 7 files changed, 48 insertions(+), 13 deletions(-) rename lightrag/kg/{neo4j.py => neo4j_impl.py} (100%) diff --git a/.gitignore b/.gitignore index 7a161f3c..e04f6472 100644 --- a/.gitignore +++ b/.gitignore @@ -7,5 +7,4 @@ lightrag-dev/ dist/ env/ local_neo4jWorkDir/ -local_neo4jWorkDir.bak/ neo4jWorkDir/ \ No newline at end of file diff --git a/lightrag/kg/__init__.py b/lightrag/kg/__init__.py index ddd2bb79..f9e28648 100644 --- a/lightrag/kg/__init__.py +++ b/lightrag/kg/__init__.py @@ -1,5 +1,5 @@ print ("init package vars here. ......") -from .neo4j import GraphStorage as Neo4JStorage +# from .neo4j import GraphStorage as Neo4JStorage # import sys diff --git a/lightrag/kg/neo4j.py b/lightrag/kg/neo4j_impl.py similarity index 100% rename from lightrag/kg/neo4j.py rename to lightrag/kg/neo4j_impl.py diff --git a/lightrag/lightrag.py b/lightrag/lightrag.py index 774c7efe..af367fa0 100644 --- a/lightrag/lightrag.py +++ b/lightrag/lightrag.py @@ -25,7 +25,7 @@ NetworkXStorage, ) -from .kg.neo4j import ( +from .kg.neo4j_impl import ( GraphStorage as Neo4JStorage ) @@ -58,10 +58,14 @@ def always_get_an_event_loop() -> asyncio.AbstractEventLoop: @dataclass class LightRAG: + working_dir: str = field( default_factory=lambda: f"./lightrag_cache_{datetime.now().strftime('%Y-%m-%d-%H:%M:%S')}" ) + kg: str = field(default="NetworkXStorage") + + # text chunking chunk_token_size: int = 1200 chunk_overlap_token_size: int = 100 @@ -99,20 +103,15 @@ class LightRAG: key_string_value_json_storage_cls: Type[BaseKVStorage] = JsonKVStorage vector_db_storage_cls: Type[BaseVectorStorage] = NanoVectorDBStorage vector_db_storage_cls_kwargs: dict = field(default_factory=dict) - - # module = importlib.import_module('kg.neo4j') - # Neo4JStorage = getattr(module, 'GraphStorage') - if True==True: - print ("using KG") - graph_storage_cls: Type[BaseGraphStorage] = Neo4JStorage - else: - graph_storage_cls: Type[BaseGraphStorage] = NetworkXStorage enable_llm_cache: bool = True # extension addon_params: dict = field(default_factory=dict) convert_response_to_json_func: callable = convert_response_to_json + # def get_configured_KG(self): + # return self.kg + def __post_init__(self): log_file = os.path.join(self.working_dir, "lightrag.log") set_logger(log_file) @@ -121,6 +120,10 @@ def __post_init__(self): _print_config = ",\n ".join([f"{k} = {v}" for k, v in asdict(self).items()]) logger.debug(f"LightRAG init with param:\n {_print_config}\n") + #should move all storage setup here to leverage initial start params attached to self. + print (f"self.kg set to: {self.kg}") + self.graph_storage_cls: Type[BaseGraphStorage] = self._get_storage_class()[self.kg] + if not os.path.exists(self.working_dir): logger.info(f"Creating working directory {self.working_dir}") os.makedirs(self.working_dir) @@ -169,6 +172,12 @@ def __post_init__(self): self.llm_model_func = limit_async_func_call(self.llm_model_max_async)( partial(self.llm_model_func, hashing_kv=self.llm_response_cache) ) + def _get_storage_class(self) -> Type[BaseGraphStorage]: + return { + "Neo4JStorage": Neo4JStorage, + "NetworkXStorage": NetworkXStorage, + # "new_kg_here": KGClass + } def insert(self, string_or_strings): loop = always_get_an_event_loop() diff --git a/lightrag/operate.py b/lightrag/operate.py index a0729cd8..8a30f2ca 100644 --- a/lightrag/operate.py +++ b/lightrag/operate.py @@ -71,6 +71,7 @@ async def _handle_entity_relation_summary( use_prompt = prompt_template.format(**context_base) logger.debug(f"Trigger summary: {entity_or_relation_name}") summary = await use_llm_func(use_prompt, max_tokens=summary_max_tokens) + print ("Summarized: {context_base} for entity relationship {} ") return summary @@ -78,6 +79,7 @@ async def _handle_single_entity_extraction( record_attributes: list[str], chunk_key: str, ): + print (f"_handle_single_entity_extraction {record_attributes} chunk_key {chunk_key}") if len(record_attributes) < 4 or record_attributes[0] != '"entity"': return None # add this record as a node in the G @@ -263,6 +265,7 @@ async def extract_entities( async def _process_single_content(chunk_key_dp: tuple[str, TextChunkSchema]): nonlocal already_processed, already_entities, already_relations + print (f"kw: processing a single chunk, {chunk_key_dp}") chunk_key = chunk_key_dp[0] chunk_dp = chunk_key_dp[1] content = chunk_dp["content"] @@ -432,6 +435,7 @@ async def local_query( text_chunks_db, query_param, ) + print (f"got the following context {context} based on prompt keywords {keywords}") if query_param.only_need_context: return context if context is None: @@ -440,6 +444,7 @@ async def local_query( sys_prompt = sys_prompt_temp.format( context_data=context, response_type=query_param.response_type ) + print (f"local query:{query} local sysprompt:{sys_prompt}") response = await use_model_func( query, system_prompt=sys_prompt, @@ -465,14 +470,20 @@ async def _build_local_query_context( text_chunks_db: BaseKVStorage[TextChunkSchema], query_param: QueryParam, ): + print ("kw1: ENTITIES VDB QUERY**********************************") + results = await entities_vdb.query(query, top_k=query_param.top_k) + print (f"kw2: ENTITIES VDB QUERY, RESULTS {results}**********************************") + if not len(results): return None + print ("kw3: using entities to get_nodes returned in above vdb query. search results from embedding your query keywords") node_datas = await asyncio.gather( *[knowledge_graph_inst.get_node(r["entity_name"]) for r in results] ) if not all([n is not None for n in node_datas]): logger.warning("Some nodes are missing, maybe the storage is damaged") + print ("kw4: getting node degrees next for the same entities/nodes") node_degrees = await asyncio.gather( *[knowledge_graph_inst.node_degree(r["entity_name"]) for r in results] ) @@ -480,7 +491,7 @@ async def _build_local_query_context( {**n, "entity_name": k["entity_name"], "rank": d} for k, n, d in zip(results, node_datas, node_degrees) if n is not None - ] + ]#what is this text_chunks_db doing. dont remember it in airvx. check the diagram. use_text_units = await _find_most_related_text_unit_from_entities( node_datas, query_param, text_chunks_db, knowledge_graph_inst ) @@ -718,6 +729,7 @@ async def _build_global_query_context( text_chunks_db: BaseKVStorage[TextChunkSchema], query_param: QueryParam, ): + print ("RELATIONSHIPS VDB QUERY**********************************") results = await relationships_vdb.query(keywords, top_k=query_param.top_k) if not len(results): @@ -883,12 +895,14 @@ async def hybrid_query( query_param: QueryParam, global_config: dict, ) -> str: + print ("HYBRID QUERY *********") low_level_context = None high_level_context = None use_model_func = global_config["llm_model_func"] kw_prompt_temp = PROMPTS["keywords_extraction"] kw_prompt = kw_prompt_temp.format(query=query) + print ( f"kw:kw_prompt: {kw_prompt}") result = await use_model_func(kw_prompt) try: @@ -897,6 +911,8 @@ async def hybrid_query( ll_keywords = keywords_data.get("low_level_keywords", []) hl_keywords = ", ".join(hl_keywords) ll_keywords = ", ".join(ll_keywords) + print (f"High level key words: {hl_keywords}") + print (f"Low level key words: {ll_keywords}") except json.JSONDecodeError: try: result = ( @@ -926,6 +942,8 @@ async def hybrid_query( query_param, ) + print (f"low_level_context: {low_level_context}") + if hl_keywords: high_level_context = await _build_global_query_context( hl_keywords, @@ -935,6 +953,8 @@ async def hybrid_query( text_chunks_db, query_param, ) + print (f"high_level_context: {high_level_context}") + context = combine_contexts(high_level_context, low_level_context) @@ -951,6 +971,7 @@ async def hybrid_query( query, system_prompt=sys_prompt, ) + print (f"kw: got system prompt: {sys_prompt}. got response for that prompt: {response}") if len(response) > len(sys_prompt): response = ( response.replace(sys_prompt, "") @@ -1044,10 +1065,13 @@ async def naive_query( ): use_model_func = global_config["llm_model_func"] results = await chunks_vdb.query(query, top_k=query_param.top_k) + print (f"raw chunks from chunks_vdb.query {results}") if not len(results): return PROMPTS["fail_response"] chunks_ids = [r["id"] for r in results] chunks = await text_chunks_db.get_by_ids(chunks_ids) + print (f"raw chunks from text_chunks_db {chunks} retrieved by id using the above chunk ids from prev chunks_vdb ") + maybe_trun_chunks = truncate_list_by_token_size( chunks, diff --git a/lightrag/storage.py b/lightrag/storage.py index 6e14873b..caa453f7 100644 --- a/lightrag/storage.py +++ b/lightrag/storage.py @@ -95,6 +95,7 @@ async def upsert(self, data: dict[str, dict]): embeddings = np.concatenate(embeddings_list) for i, d in enumerate(list_data): d["__vector__"] = embeddings[i] + print (f"Upserting to vector: {list_data}") results = self._client.upsert(datas=list_data) return results @@ -109,6 +110,7 @@ async def query(self, query: str, top_k=5): results = [ {**dp, "id": dp["__id__"], "distance": dp["__metrics__"]} for dp in results ] + print (f"vector db results {results} for query {query}") return results async def index_done_callback(self): diff --git a/testkg.py b/testkg.py index 0c6e7d61..2131f840 100644 --- a/testkg.py +++ b/testkg.py @@ -15,7 +15,8 @@ rag = LightRAG( working_dir=WORKING_DIR, - llm_model_func=gpt_4o_mini_complete # Use gpt_4o_mini_complete LLM model + llm_model_func=gpt_4o_mini_complete, # Use gpt_4o_mini_complete LLM model + kg="Neo4JStorage" # llm_model_func=gpt_4o_complete # Optionally, use a stronger model ) From b41d990fd660e84a9d8ea5a92504cd1b55e833bf Mon Sep 17 00:00:00 2001 From: Ken Wiltshire Date: Fri, 1 Nov 2024 11:01:50 -0400 Subject: [PATCH 136/258] securing for production with env vars for creds --- .gitignore | 3 ++- lightrag/kg/neo4j_impl.py | 51 +++++++++++++++------------------------ lightrag/lightrag.py | 18 +++++++++++--- lightrag/operate.py | 19 --------------- testkg.py | 7 +++--- 5 files changed, 40 insertions(+), 58 deletions(-) diff --git a/.gitignore b/.gitignore index e04f6472..39fa6515 100644 --- a/.gitignore +++ b/.gitignore @@ -7,4 +7,5 @@ lightrag-dev/ dist/ env/ local_neo4jWorkDir/ -neo4jWorkDir/ \ No newline at end of file +neo4jWorkDir/ +ignore_this.txt \ No newline at end of file diff --git a/lightrag/kg/neo4j_impl.py b/lightrag/kg/neo4j_impl.py index ddb78efe..6db885d6 100644 --- a/lightrag/kg/neo4j_impl.py +++ b/lightrag/kg/neo4j_impl.py @@ -5,7 +5,6 @@ from typing import Any, Union, cast import numpy as np import inspect -# import package.common.utils as utils from lightrag.utils import load_json, logger, write_json from ..base import ( BaseGraphStorage @@ -22,27 +21,6 @@ - - -# @TODO: catch and retry "ERROR:neo4j.io:Failed to write data to connection ResolvedIPv4Address" -# during indexing. - - - - -# Replace with your actual URI, username, and password -#local -URI = "neo4j://localhost:7687" -USERNAME = "neo4j" -PASSWORD = "password" - -#aura -# URI = "neo4j+s://91fbae6c.databases.neo4j.io" -# USERNAME = "neo4j" -# PASSWORD = "KWKPXfXcClDbUlmDdGgIQhU5mL1N4E_2CJp2BDFbEbw" -# Create a driver object - - @dataclass class GraphStorage(BaseGraphStorage): @staticmethod @@ -51,6 +29,15 @@ def load_nx_graph(file_name): def __post_init__(self): # self._graph = preloaded_graph or nx.Graph() + credetial_parts = ['URI', 'USERNAME','PASSWORD'] + credentials_set = all(x in os.environ for x in credetial_parts ) + if credentials_set: + URI = os.environ["URI"] + USERNAME = os.environ["USERNAME"] + PASSWORD = os.environ["PASSWORD"] + else: + raise Exception (f"One or more Neo4J Credentials, {credetial_parts}, not found in the environment") + self._driver = GraphDatabase.driver(URI, auth=(USERNAME, PASSWORD)) self._node_embed_algorithms = { "node2vec": self._node2vec_embed, @@ -65,7 +52,7 @@ def _check_node_exists(tx, label): query = f"MATCH (n:`{label}`) RETURN count(n) > 0 AS node_exists" result = tx.run(query) single_result = result.single() - logger.info( + logger.debug( f'{inspect.currentframe().f_code.co_name}:query:{query}:result:{single_result["node_exists"]}' ) @@ -90,7 +77,7 @@ def _check_edge_existence(tx, label1, label2): # if result.single() == None: # print (f"this should not happen: ---- {label1}/{label2} {query}") - logger.info( + logger.debug( f'{inspect.currentframe().f_code.co_name}:query:{query}:result:{single_result["edgeExists"]}' ) @@ -111,7 +98,7 @@ async def get_node(self, node_id: str) -> Union[dict, None]: result = session.run(query) for record in result: result = record["n"] - logger.info( + logger.debug( f'{inspect.currentframe().f_code.co_name}:query:{query}:result:{result}' ) return result @@ -133,7 +120,7 @@ def _find_node_degree(session, label): record = result.single() if record: edge_count = record["totalEdgeCount"] - logger.info( + logger.debug( f'{inspect.currentframe().f_code.co_name}:query:{query}:result:{edge_count}' ) return edge_count @@ -154,7 +141,7 @@ async def edge_degree(self, src_id: str, tgt_id: str) -> int: RETURN count(r) AS degree""" result = session.run(query) record = result.single() - logger.info( + logger.debug( f'{inspect.currentframe().f_code.co_name}:query:{query}:result:{record["degree"]}' ) return record["degree"] @@ -183,7 +170,7 @@ async def get_edge(self, source_node_id: str, target_node_id: str) -> Union[dict record = result.single() if record: result = dict(record["edge_properties"]) - logger.info( + logger.debug( f'{inspect.currentframe().f_code.co_name}:query:{query}:result:{result}' ) return result @@ -254,7 +241,7 @@ def fetch_edges(tx, label): # if source_label and target_label: # connections.append((source_label, target_label)) - # logger.info( + # logger.debug( # f'{inspect.currentframe().f_code.co_name}:query:{query}:result:{connections}' # ) # return connections @@ -308,7 +295,7 @@ def _do_upsert(tx, label: str, properties: dict[str, Any]): result = tx.run(query, properties=properties) record = result.single() if record: - logger.info( + logger.debug( f'{inspect.currentframe().f_code.co_name}:query:{query}:result:{dict(record["n"])}' ) return dict(record["n"]) @@ -364,7 +351,7 @@ def _do_upsert_edge(tx, source_node_label: str, target_node_label: str, edge_pro """ result = tx.run(query, properties=edge_properties) - logger.info( + logger.debug( f'{inspect.currentframe().f_code.co_name}:query:{query}:edge_properties:{edge_properties}' ) return result.single() @@ -385,7 +372,7 @@ async def _node2vec_embed(self): with self._driver.session() as session: #Define the Cypher query options = self.global_config["node2vec_params"] - logger.info(f"building embeddings with options {options}") + logger.debug(f"building embeddings with options {options}") query = f"""CALL gds.node2vec.write('91fbae6c', { options }) diff --git a/lightrag/lightrag.py b/lightrag/lightrag.py index af367fa0..d9b12a99 100644 --- a/lightrag/lightrag.py +++ b/lightrag/lightrag.py @@ -28,6 +28,13 @@ from .kg.neo4j_impl import ( GraphStorage as Neo4JStorage ) +#future KG integrations + +# from .kg.ArangoDB_impl import ( +# GraphStorage as ArangoDBStorage +# ) + + from .utils import ( EmbeddingFunc, @@ -64,7 +71,11 @@ class LightRAG: ) kg: str = field(default="NetworkXStorage") - + + current_log_level = logger.level + log_level: str = field(default=current_log_level) + + # text chunking chunk_token_size: int = 1200 @@ -115,13 +126,14 @@ class LightRAG: def __post_init__(self): log_file = os.path.join(self.working_dir, "lightrag.log") set_logger(log_file) + logger.setLevel(self.log_level) + logger.info(f"Logger initialized for working directory: {self.working_dir}") _print_config = ",\n ".join([f"{k} = {v}" for k, v in asdict(self).items()]) logger.debug(f"LightRAG init with param:\n {_print_config}\n") #should move all storage setup here to leverage initial start params attached to self. - print (f"self.kg set to: {self.kg}") self.graph_storage_cls: Type[BaseGraphStorage] = self._get_storage_class()[self.kg] if not os.path.exists(self.working_dir): @@ -176,7 +188,7 @@ def _get_storage_class(self) -> Type[BaseGraphStorage]: return { "Neo4JStorage": Neo4JStorage, "NetworkXStorage": NetworkXStorage, - # "new_kg_here": KGClass + # "ArangoDBStorage": ArangoDBStorage } def insert(self, string_or_strings): diff --git a/lightrag/operate.py b/lightrag/operate.py index 8a30f2ca..ebec5c3f 100644 --- a/lightrag/operate.py +++ b/lightrag/operate.py @@ -71,7 +71,6 @@ async def _handle_entity_relation_summary( use_prompt = prompt_template.format(**context_base) logger.debug(f"Trigger summary: {entity_or_relation_name}") summary = await use_llm_func(use_prompt, max_tokens=summary_max_tokens) - print ("Summarized: {context_base} for entity relationship {} ") return summary @@ -79,7 +78,6 @@ async def _handle_single_entity_extraction( record_attributes: list[str], chunk_key: str, ): - print (f"_handle_single_entity_extraction {record_attributes} chunk_key {chunk_key}") if len(record_attributes) < 4 or record_attributes[0] != '"entity"': return None # add this record as a node in the G @@ -265,7 +263,6 @@ async def extract_entities( async def _process_single_content(chunk_key_dp: tuple[str, TextChunkSchema]): nonlocal already_processed, already_entities, already_relations - print (f"kw: processing a single chunk, {chunk_key_dp}") chunk_key = chunk_key_dp[0] chunk_dp = chunk_key_dp[1] content = chunk_dp["content"] @@ -435,7 +432,6 @@ async def local_query( text_chunks_db, query_param, ) - print (f"got the following context {context} based on prompt keywords {keywords}") if query_param.only_need_context: return context if context is None: @@ -444,7 +440,6 @@ async def local_query( sys_prompt = sys_prompt_temp.format( context_data=context, response_type=query_param.response_type ) - print (f"local query:{query} local sysprompt:{sys_prompt}") response = await use_model_func( query, system_prompt=sys_prompt, @@ -470,20 +465,16 @@ async def _build_local_query_context( text_chunks_db: BaseKVStorage[TextChunkSchema], query_param: QueryParam, ): - print ("kw1: ENTITIES VDB QUERY**********************************") results = await entities_vdb.query(query, top_k=query_param.top_k) - print (f"kw2: ENTITIES VDB QUERY, RESULTS {results}**********************************") if not len(results): return None - print ("kw3: using entities to get_nodes returned in above vdb query. search results from embedding your query keywords") node_datas = await asyncio.gather( *[knowledge_graph_inst.get_node(r["entity_name"]) for r in results] ) if not all([n is not None for n in node_datas]): logger.warning("Some nodes are missing, maybe the storage is damaged") - print ("kw4: getting node degrees next for the same entities/nodes") node_degrees = await asyncio.gather( *[knowledge_graph_inst.node_degree(r["entity_name"]) for r in results] ) @@ -729,7 +720,6 @@ async def _build_global_query_context( text_chunks_db: BaseKVStorage[TextChunkSchema], query_param: QueryParam, ): - print ("RELATIONSHIPS VDB QUERY**********************************") results = await relationships_vdb.query(keywords, top_k=query_param.top_k) if not len(results): @@ -895,14 +885,12 @@ async def hybrid_query( query_param: QueryParam, global_config: dict, ) -> str: - print ("HYBRID QUERY *********") low_level_context = None high_level_context = None use_model_func = global_config["llm_model_func"] kw_prompt_temp = PROMPTS["keywords_extraction"] kw_prompt = kw_prompt_temp.format(query=query) - print ( f"kw:kw_prompt: {kw_prompt}") result = await use_model_func(kw_prompt) try: @@ -911,8 +899,6 @@ async def hybrid_query( ll_keywords = keywords_data.get("low_level_keywords", []) hl_keywords = ", ".join(hl_keywords) ll_keywords = ", ".join(ll_keywords) - print (f"High level key words: {hl_keywords}") - print (f"Low level key words: {ll_keywords}") except json.JSONDecodeError: try: result = ( @@ -942,7 +928,6 @@ async def hybrid_query( query_param, ) - print (f"low_level_context: {low_level_context}") if hl_keywords: high_level_context = await _build_global_query_context( @@ -953,7 +938,6 @@ async def hybrid_query( text_chunks_db, query_param, ) - print (f"high_level_context: {high_level_context}") context = combine_contexts(high_level_context, low_level_context) @@ -971,7 +955,6 @@ async def hybrid_query( query, system_prompt=sys_prompt, ) - print (f"kw: got system prompt: {sys_prompt}. got response for that prompt: {response}") if len(response) > len(sys_prompt): response = ( response.replace(sys_prompt, "") @@ -1065,12 +1048,10 @@ async def naive_query( ): use_model_func = global_config["llm_model_func"] results = await chunks_vdb.query(query, top_k=query_param.top_k) - print (f"raw chunks from chunks_vdb.query {results}") if not len(results): return PROMPTS["fail_response"] chunks_ids = [r["id"] for r in results] chunks = await text_chunks_db.get_by_ids(chunks_ids) - print (f"raw chunks from text_chunks_db {chunks} retrieved by id using the above chunk ids from prev chunks_vdb ") maybe_trun_chunks = truncate_list_by_token_size( diff --git a/testkg.py b/testkg.py index 2131f840..c90edde9 100644 --- a/testkg.py +++ b/testkg.py @@ -16,12 +16,13 @@ rag = LightRAG( working_dir=WORKING_DIR, llm_model_func=gpt_4o_mini_complete, # Use gpt_4o_mini_complete LLM model - kg="Neo4JStorage" + kg="Neo4JStorage", + log_level="INFO" # llm_model_func=gpt_4o_complete # Optionally, use a stronger model ) -with open("./book.txt") as f: - rag.insert(f.read()) +# with open("./book.txt") as f: +# rag.insert(f.read()) # Perform naive search print(rag.query("What are the top themes in this story?", param=QueryParam(mode="naive"))) From 13940c17266bf4a1b2fb7a9eee8e5883afae27e4 Mon Sep 17 00:00:00 2001 From: Ken Wiltshire Date: Fri, 1 Nov 2024 14:24:17 -0400 Subject: [PATCH 137/258] env var naming conflict, qualified by prefix --- lightrag/kg/neo4j_impl.py | 9 ++++++--- 1 file changed, 6 insertions(+), 3 deletions(-) diff --git a/lightrag/kg/neo4j_impl.py b/lightrag/kg/neo4j_impl.py index 6db885d6..289b62df 100644 --- a/lightrag/kg/neo4j_impl.py +++ b/lightrag/kg/neo4j_impl.py @@ -32,11 +32,14 @@ def __post_init__(self): credetial_parts = ['URI', 'USERNAME','PASSWORD'] credentials_set = all(x in os.environ for x in credetial_parts ) if credentials_set: - URI = os.environ["URI"] - USERNAME = os.environ["USERNAME"] - PASSWORD = os.environ["PASSWORD"] + URI = os.environ["NEO4J_URI"] + USERNAME = os.environ["NEO4J_USERNAME"] + PASSWORD = os.environ["NEO4J_PASSWORD"] else: raise Exception (f"One or more Neo4J Credentials, {credetial_parts}, not found in the environment") + print (f"uri: {URI}") + print (f"uri: {USERNAME}") + print (f"uri: {PASSWORD}") self._driver = GraphDatabase.driver(URI, auth=(USERNAME, PASSWORD)) self._node_embed_algorithms = { From f37562099217e83b48378f9c8f003d78113367d8 Mon Sep 17 00:00:00 2001 From: Ken Wiltshire Date: Fri, 1 Nov 2024 16:11:19 -0400 Subject: [PATCH 138/258] cleaning code for pull --- README.md | 30 + lightrag/kg/__init__.py | 26 +- lightrag/lightrag.py | 5 +- lightrag/llm.py | 4 +- lightrag/operate.py | 1 - lightrag/storage.py | 6 +- neo4jWorkDir/kv_store_full_docs.json | 5 - neo4jWorkDir/kv_store_llm_response_cache.json | 538 - neo4jWorkDir/kv_store_text_chunks.json | 254 - neo4jWorkDir/lightrag.log | 27839 ---------------- neo4jWorkDir/vdb_chunks.json | 1 - neo4jWorkDir/vdb_entities.json | 1 - neo4jWorkDir/vdb_relationships.json | 1 - testkg.py => test_neo4j.py | 6 +- 14 files changed, 39 insertions(+), 28678 deletions(-) delete mode 100644 neo4jWorkDir/kv_store_full_docs.json delete mode 100644 neo4jWorkDir/kv_store_llm_response_cache.json delete mode 100644 neo4jWorkDir/kv_store_text_chunks.json delete mode 100644 neo4jWorkDir/lightrag.log delete mode 100644 neo4jWorkDir/vdb_chunks.json delete mode 100644 neo4jWorkDir/vdb_entities.json delete mode 100644 neo4jWorkDir/vdb_relationships.json rename testkg.py => test_neo4j.py (93%) diff --git a/README.md b/README.md index dbabcb56..cc54fcd0 100644 --- a/README.md +++ b/README.md @@ -155,6 +155,36 @@ rag = LightRAG( ```
+ +
+ Using Neo4J for Storage + +* For production level scenarios you will most likely want to leverage an enterprise solution +for KG storage. +```python +export NEO4J_URI="neo4j://localhost:7687" +export NEO4J_USERNAME="neo4j" +export NEO4J_PASSWORD="password" + +When you launch the project be sure to override the default KG: NetworkS +by specifying kg="Neo4JStorage". + +# Note: Default settings use NetworkX +#Initialize LightRAG with Neo4J implementation. +WORKING_DIR = "./local_neo4jWorkDir" + +rag = LightRAG( + working_dir=WORKING_DIR, + llm_model_func=gpt_4o_mini_complete, # Use gpt_4o_mini_complete LLM model + kg="Neo4JStorage", #<-----------override KG default + log_level="DEBUG" #<-----------override log_level default +) +``` +see test_neo4j.py for a working example. +
+ + +
Using Ollama Models diff --git a/lightrag/kg/__init__.py b/lightrag/kg/__init__.py index f9e28648..de9c1f9a 100644 --- a/lightrag/kg/__init__.py +++ b/lightrag/kg/__init__.py @@ -1,27 +1,3 @@ -print ("init package vars here. ......") -# from .neo4j import GraphStorage as Neo4JStorage +# print ("init package vars here. ......") -# import sys -# import importlib -# # Specify the path to the directory containing the module -# # Add the directory to the system path -# module_dir = '/Users/kenwiltshire/documents/dev/LightRag/lightrag/kg' -# sys.path.append(module_dir) -# # Specify the module name -# module_name = 'neo4j' -# # Import the module -# spec = importlib.util.spec_from_file_location(module_name, f'{module_dir}/{module_name}.py') - -# Neo4JStorage = importlib.util.module_from_spec(spec) -# spec.loader.exec_module(Neo4JStorage) - - - -# Relative imports are still possible by adding a leading period to the module name when using the from ... import form: - -# # Import names from pkg.string -# from .string import name1, name2 -# # Import pkg.string -# from . import string - diff --git a/lightrag/lightrag.py b/lightrag/lightrag.py index d9b12a99..e3e7cce1 100644 --- a/lightrag/lightrag.py +++ b/lightrag/lightrag.py @@ -120,9 +120,6 @@ class LightRAG: addon_params: dict = field(default_factory=dict) convert_response_to_json_func: callable = convert_response_to_json - # def get_configured_KG(self): - # return self.kg - def __post_init__(self): log_file = os.path.join(self.working_dir, "lightrag.log") set_logger(log_file) @@ -133,7 +130,7 @@ def __post_init__(self): _print_config = ",\n ".join([f"{k} = {v}" for k, v in asdict(self).items()]) logger.debug(f"LightRAG init with param:\n {_print_config}\n") - #should move all storage setup here to leverage initial start params attached to self. + #@TODO: should move all storage setup here to leverage initial start params attached to self. self.graph_storage_cls: Type[BaseGraphStorage] = self._get_storage_class()[self.kg] if not os.path.exists(self.working_dir): diff --git a/lightrag/llm.py b/lightrag/llm.py index 9baa6997..4dcf535c 100644 --- a/lightrag/llm.py +++ b/lightrag/llm.py @@ -72,9 +72,7 @@ async def openai_complete_if_cache( @retry( stop=stop_after_attempt(3), - #kw_ - wait=wait_exponential(multiplier=1, min=10, max=60), - # wait=wait_exponential(multiplier=1, min=4, max=10), + wait=wait_exponential(multiplier=1, min=4, max=10), retry=retry_if_exception_type((RateLimitError, APIConnectionError, Timeout)), ) async def azure_openai_complete_if_cache(model, diff --git a/lightrag/operate.py b/lightrag/operate.py index ebec5c3f..14dccaf3 100644 --- a/lightrag/operate.py +++ b/lightrag/operate.py @@ -908,7 +908,6 @@ async def hybrid_query( .strip() ) result = "{" + result.split("{")[1].split("}")[0] + "}" - keywords_data = json.loads(result) hl_keywords = keywords_data.get("high_level_keywords", []) ll_keywords = keywords_data.get("low_level_keywords", []) diff --git a/lightrag/storage.py b/lightrag/storage.py index caa453f7..0ccec839 100644 --- a/lightrag/storage.py +++ b/lightrag/storage.py @@ -95,7 +95,6 @@ async def upsert(self, data: dict[str, dict]): embeddings = np.concatenate(embeddings_list) for i, d in enumerate(list_data): d["__vector__"] = embeddings[i] - print (f"Upserting to vector: {list_data}") results = self._client.upsert(datas=list_data) return results @@ -110,7 +109,6 @@ async def query(self, query: str, top_k=5): results = [ {**dp, "id": dp["__id__"], "distance": dp["__metrics__"]} for dp in results ] - print (f"vector db results {results} for query {query}") return results async def index_done_callback(self): @@ -235,9 +233,11 @@ async def embed_nodes(self, algorithm: str) -> tuple[np.ndarray, list[str]]: raise ValueError(f"Node embedding algorithm {algorithm} not supported") return await self._node_embed_algorithms[algorithm]() + + #@TODO: NOT USED async def _node2vec_embed(self): from graspologic import embed - print ("is this ever called?") + embeddings, nodes = embed.node2vec_embed( self._graph, **self.global_config["node2vec_params"], diff --git a/neo4jWorkDir/kv_store_full_docs.json b/neo4jWorkDir/kv_store_full_docs.json deleted file mode 100644 index eff31337..00000000 --- a/neo4jWorkDir/kv_store_full_docs.json +++ /dev/null @@ -1,5 +0,0 @@ -{ - "doc-addb4618e1697da0445ec72a648e1f92": { - "content": "The Project Gutenberg eBook of A Christmas Carol\n \nThis ebook is for the use of anyone anywhere in the United States and\nmost other parts of the world at no cost and with almost no restrictions\nwhatsoever. You may copy it, give it away or re-use it under the terms\nof the Project Gutenberg License included with this ebook or online\nat www.gutenberg.org. If you are not located in the United States,\nyou will have to check the laws of the country where you are located\nbefore using this eBook.\n\nTitle: A Christmas Carol\n\nAuthor: Charles Dickens\n\nIllustrator: Arthur Rackham\n\nRelease date: December 24, 2007 [eBook #24022]\n\nLanguage: English\n\nOriginal publication: Philadelphia and New York: J. B. Lippincott Company,, 1915\n\nCredits: Produced by Suzanne Shell, Janet Blenkinship and the Online\n Distributed Proofreading Team at http://www.pgdp.net\n\n\n*** START OF THE PROJECT GUTENBERG EBOOK A CHRISTMAS CAROL ***\n\n\n\n\nProduced by Suzanne Shell, Janet Blenkinship and the Online\nDistributed Proofreading Team at http://www.pgdp.net\n\n\n\n\n\n\n\n\n\n\n\n A CHRISTMAS CAROL\n\n [Illustration: _\"How now?\" said Scrooge, caustic and cold as ever.\n \"What do you want with me?\"_]\n\n\n A CHRISTMAS CAROL\n\n [Illustration]\n\n BY\n\n CHARLES DICKENS\n\n [Illustration]\n\n ILLUSTRATED BY ARTHUR RACKHAM\n\n [Illustration]\n\n J. B. LIPPINCOTT COMPANY PHILADELPHIA AND NEW YORK\n\n FIRST PUBLISHED 1915\n\n REPRINTED 1923, 1927, 1932, 1933, 1934, 1935, 1947, 1948, 1952, 1958,\n 1962, 1964, 1966, 1967, 1969, 1971, 1972, 1973\n\n ISBN: 0-397-00033-2\n\n PRINTED IN GREAT BRITAIN\n\n\n\n\n PREFACE\n\n I have endeavoured in this Ghostly little book to raise the Ghost of an\n Idea which shall not put my readers out of humour with themselves, with\n each other, with the season, or with me. May it haunt their house\n pleasantly, and no one wish to lay it.\n\n Their faithful Friend and Servant,\n\n C. D.\n\n _December, 1843._\n\n\n\n\n CHARACTERS\n\n Bob Cratchit, clerk to Ebenezer Scrooge.\n Peter Cratchit, a son of the preceding.\n Tim Cratchit (\"Tiny Tim\"), a cripple, youngest son of Bob Cratchit.\n Mr. Fezziwig, a kind-hearted, jovial old merchant.\n Fred, Scrooge's nephew.\n Ghost of Christmas Past, a phantom showing things past.\n Ghost of Christmas Present, a spirit of a kind, generous,\n and hearty nature.\n Ghost of Christmas Yet to Come, an apparition showing the shadows\n of things which yet may happen.\n Ghost of Jacob Marley, a spectre of Scrooge's former partner in business.\n Joe, a marine-store dealer and receiver of stolen goods.\n Ebenezer Scrooge, a grasping, covetous old man, the surviving partner\n of the firm of Scrooge and Marley.\n Mr. Topper, a bachelor.\n Dick Wilkins, a fellow apprentice of Scrooge's.\n\n Belle, a comely matron, an old sweetheart of Scrooge's.\n Caroline, wife of one of Scrooge's debtors.\n Mrs. Cratchit, wife of Bob Cratchit.\n Belinda and Martha Cratchit, daughters of the preceding.\n\n Mrs. Dilber, a laundress.\n Fan, the sister of Scrooge.\n Mrs. Fezziwig, the worthy partner of Mr. Fezziwig.\n\n\n\n\n CONTENTS\n\n STAVE ONE--MARLEY'S GHOST 3\n STAVE TWO--THE FIRST OF THE THREE SPIRITS 37\n STAVE THREE--THE SECOND OF THE THREE SPIRITS 69\n STAVE FOUR--THE LAST OF THE SPIRITS 111\n STAVE FIVE--THE END OF IT 137\n\n\n LIST OF ILLUSTRATIONS\n\n _IN COLOUR_\n\n\n \"How now?\" said Scrooge, caustic\n and cold as ever. \"What do you\n want with me?\" _Frontispiece_\n\n Bob Cratchit went down a slide on\n Cornhill, at the end of a lane of\n boys, twenty times, in honour of\n its being Christmas Eve 16\n\n Nobody under the bed; nobody in\n the closet; nobody in his dressing-gown,\n which was hanging up\n in a suspicious attitude against\n the wall 20\n\n The air was filled with phantoms,\n wandering hither and thither in\n restless haste and moaning as\n they went 32\n\n Then old Fezziwig stood out to\n dance with Mrs. Fezziwig 54\n\n A flushed and boisterous group 62\n\n Laden with Christmas toys and\n presents 64\n\n The way he went after that plump\n sister in the lace tucker! 100\n\n \"How are you?\" said one.\n \"How are you?\" returned the other.\n \"Well!\" said the first. \"Old\n Scratch has got his own at last,\n hey?\" 114\n\n \"What do you call this?\" said Joe.\n \"Bed-curtains!\" \"Ah!\" returned\n the woman, laughing....\n \"Bed-curtains!\"\n\n \"You don't mean to say you took\n 'em down, rings and all, with him\n lying there?\" said Joe.\n\n \"Yes, I do,\" replied the woman.\n \"Why not?\" 120\n\n \"It's I, your uncle Scrooge. I have\n come to dinner. Will you let\n me in, Fred?\" 144\n\n \"Now, I'll tell you what, my friend,\"\n said Scrooge. \"I am not going\n to stand this sort of thing any\n longer.\" 146\n\n[Illustration]\n\n_IN BLACK AND WHITE_\n\n\n Tailpiece vi\n Tailpiece to List of Coloured Illustrations x\n Tailpiece to List of Black and White Illustrations xi\n Heading to Stave One 3\n They were portly gentlemen, pleasant to behold 12\n On the wings of the wind 28-29\n Tailpiece to Stave One 34\n Heading to Stave Two 37\n He produced a decanter of curiously\n light wine and a block of curiously heavy cake 50\n She left him, and they parted 60\n Tailpiece to Stave Two 65\n Heading to Stave Three 69\n There was nothing very cheerful in the climate 75\n He had been Tim's blood-horse all the way from church 84-85\n With the pudding 88\n Heading to Stave Four 111\n Heading to Stave Five 137\n Tailpiece to Stave Five 147\n\n[Illustration]\n\n\nSTAVE ONE\n\n\n[Illustration]\n\n\n\n\nMARLEY'S GHOST\n\n\nMarley was dead, to begin with. There is no doubt whatever about that.\nThe register of his burial was signed by the clergyman, the clerk, the\nundertaker, and the chief mourner. Scrooge signed it. And Scrooge's name\nwas good upon 'Change for anything he chose to put his hand to. Old\nMarley was as dead as a door-nail.\n\nMind! I don't mean to say that I know of my own knowledge, what there is\nparticularly dead about a door-nail. I might have been inclined, myself,\nto regard a coffin-nail as the deadest piece of ironmongery in the\ntrade. But the wisdom of our ancestors is in the simile; and my\nunhallowed hands shall not disturb it, or the country's done for. You\nwill, therefore, permit me to repeat, emphatically, that Marley was as\ndead as a door-nail.\n\nScrooge knew he was dead? Of course he did. How could it be otherwise?\nScrooge and he were partners for I don't know how many years. Scrooge\nwas his sole executor, his sole administrator, his sole assign, his sole\nresiduary legatee, his sole friend, and sole mourner. And even Scrooge\nwas not so dreadfully cut up by the sad event but that he was an\nexcellent man of business on the very day of the funeral, and solemnised\nit with an undoubted bargain.\n\nThe mention of Marley's funeral brings me back to the point I started\nfrom. There is no doubt that Marley was dead. This must be distinctly\nunderstood, or nothing wonderful can come of the story I am going to\nrelate. If we were not perfectly convinced that Hamlet's father died\nbefore the play began, there would be nothing more remarkable in his\ntaking a stroll at night, in an easterly wind, upon his own ramparts,\nthan there would be in any other middle-aged gentleman rashly turning\nout after dark in a breezy spot--say St. Paul's Churchyard, for\ninstance--literally to astonish his son's weak mind.\n\nScrooge never painted out Old Marley's name. There it stood, years\nafterwards, above the warehouse door: Scrooge and Marley. The firm was\nknown as Scrooge and Marley. Sometimes people new to the business called\nScrooge Scrooge, and sometimes Marley, but he answered to both names. It\nwas all the same to him.\n\nOh! but he was a tight-fisted hand at the grindstone, Scrooge! a\nsqueezing, wrenching, grasping, scraping, clutching, covetous old\nsinner! Hard and sharp as flint, from which no steel had ever struck out\ngenerous fire; secret, and self-contained, and solitary as an oyster.\nThe cold within him froze his old features, nipped his pointed nose,\nshrivelled his cheek, stiffened his gait; made his eyes red, his thin\nlips blue; and spoke out shrewdly in his grating voice. A frosty rime\nwas on his head, and on his eyebrows, and his wiry chin. He carried his\nown low temperature always about with him; he iced his office in the\ndog-days, and didn't thaw it one degree at Christmas.\n\nExternal heat and cold had little influence on Scrooge. No warmth could\nwarm, no wintry weather chill him. No wind that blew was bitterer than\nhe, no falling snow was more intent upon its purpose, no pelting rain\nless open to entreaty. Foul weather didn't know where to have him. The\nheaviest rain, and snow, and hail, and sleet could boast of the\nadvantage over him in only one respect. They often 'came down'\nhandsomely, and Scrooge never did.\n\nNobody ever stopped him in the street to say, with gladsome looks, 'My\ndear Scrooge, how are you? When will you come to see me?' No beggars\nimplored him to bestow a trifle, no children asked him what it was\no'clock, no man or woman ever once in all his life inquired the way to\nsuch and such a place, of Scrooge. Even the blind men's dogs appeared to\nknow him; and, when they saw him coming on, would tug their owners into\ndoorways and up courts; and then would wag their tails as though they\nsaid, 'No eye at all is better than an evil eye, dark master!'\n\nBut what did Scrooge care? It was the very thing he liked. To edge his\nway along the crowded paths of life, warning all human sympathy to keep\nits distance, was what the knowing ones call 'nuts' to Scrooge.\n\nOnce upon a time--of all the good days in the year, on Christmas\nEve--old Scrooge sat busy in his counting-house. It was cold, bleak,\nbiting weather; foggy withal; and he could hear the people in the court\noutside go wheezing up and down, beating their hands upon their breasts,\nand stamping their feet upon the pavement stones to warm them. The City\nclocks had only just gone three, but it was quite dark already--it had\nnot been light all day--and candles were flaring in the windows of the\nneighbouring offices, like ruddy smears upon the palpable brown air. The\nfog came pouring in at every chink and keyhole, and was so dense\nwithout, that, although the court was of the narrowest, the houses\nopposite were mere phantoms. To see the dingy cloud come drooping down,\nobscuring everything, one might have thought that nature lived hard by,\nand was brewing on a large scale.\n\nThe door of Scrooge's counting-house was open, that he might keep his\neye upon his clerk, who in a dismal little cell beyond, a sort of tank,\nwas copying letters. Scrooge had a very small fire, but the clerk's fire\nwas so very much smaller that it looked like one coal. But he couldn't\nreplenish it, for Scrooge kept the coal-box in his own room; and so\nsurely as the clerk came in with the shovel, the master predicted that\nit would be necessary for them to part. Wherefore the clerk put on his\nwhite comforter, and tried to warm himself at the candle; in which\neffort, not being a man of strong imagination, he failed.\n\n'A merry Christmas, uncle! God save you!' cried a cheerful voice. It was\nthe voice of Scrooge's nephew, who came upon him so quickly that this\nwas the first intimation he had of his approach.\n\n'Bah!' said Scrooge. 'Humbug!'\n\nHe had so heated himself with rapid walking in the fog and frost, this\nnephew of Scrooge's, that he was all in a glow; his face was ruddy and\nhandsome; his eyes sparkled, and his breath smoked again.\n\n'Christmas a humbug, uncle!' said Scrooge's nephew. 'You don't mean\nthat, I am sure?'\n\n'I do,' said Scrooge. 'Merry Christmas! What right have you to be merry?\nWhat reason have you to be merry? You're poor enough.'\n\n'Come, then,' returned the nephew gaily. 'What right have you to be\ndismal? What reason have you to be morose? You're rich enough.'\n\nScrooge, having no better answer ready on the spur of the moment, said,\n'Bah!' again; and followed it up with 'Humbug!'\n\n'Don't be cross, uncle!' said the nephew.\n\n'What else can I be,' returned the uncle, 'when I live in such a world\nof fools as this? Merry Christmas! Out upon merry Christmas! What's\nChristmas-time to you but a time for paying bills without money; a time\nfor finding yourself a year older, and not an hour richer; a time for\nbalancing your books, and having every item in 'em through a round dozen\nof months presented dead against you? If I could work my will,' said\nScrooge indignantly, 'every idiot who goes about with \"Merry Christmas\"\non his lips should be boiled with his own pudding, and buried with a\nstake of holly through his heart. He should!'\n\n'Uncle!' pleaded the nephew.\n\n'Nephew!' returned the uncle sternly, 'keep Christmas in your own way,\nand let me keep it in mine.'\n\n'Keep it!' repeated Scrooge's nephew. 'But you don't keep it.'\n\n'Let me leave it alone, then,' said Scrooge. 'Much good may it do you!\nMuch good it has ever done you!'\n\n'There are many things from which I might have derived good, by which I\nhave not profited, I dare say,' returned the nephew; 'Christmas among\nthe rest. But I am sure I have always thought of Christmas-time, when\nit has come round--apart from the veneration due to its sacred name and\norigin, if anything belonging to it can be apart from that--as a good\ntime; a kind, forgiving, charitable, pleasant time; the only time I know\nof, in the long calendar of the year, when men and women seem by one\nconsent to open their shut-up hearts freely, and to think of people\nbelow them as if they really were fellow-passengers to the grave, and\nnot another race of creatures bound on other journeys. And therefore,\nuncle, though it has never put a scrap of gold or silver in my pocket, I\nbelieve that it _has_ done me good and _will_ do me good; and I say, God\nbless it!'\n\nThe clerk in the tank involuntarily applauded. Becoming immediately\nsensible of the impropriety, he poked the fire, and extinguished the\nlast frail spark for ever.\n\n'Let me hear another sound from _you_,' said Scrooge, 'and you'll keep\nyour Christmas by losing your situation! You're quite a powerful\nspeaker, sir,' he added, turning to his nephew. 'I wonder you don't go\ninto Parliament.'\n\n'Don't be angry, uncle. Come! Dine with us to-morrow.'\n\nScrooge said that he would see him----Yes, indeed he did. He went the\nwhole length of the expression, and said that he would see him in that\nextremity first.\n\n'But why?' cried Scrooge's nephew. 'Why?'\n\n'Why did you get married?' said Scrooge.\n\n'Because I fell in love.'\n\n'Because you fell in love!' growled Scrooge, as if that were the only\none thing in the world more ridiculous than a merry Christmas. 'Good\nafternoon!'\n\n'Nay, uncle, but you never came to see me before that happened. Why give\nit as a reason for not coming now?'\n\n'Good afternoon,' said Scrooge.\n\n'I want nothing from you; I ask nothing of you; why cannot we be\nfriends?'\n\n'Good afternoon!' said Scrooge.\n\n'I am sorry, with all my heart, to find you so resolute. We have never\nhad any quarrel to which I have been a party. But I have made the trial\nin homage to Christmas, and I'll keep my Christmas humour to the last.\nSo A Merry Christmas, uncle!'\n\n'Good afternoon,' said Scrooge.\n\n'And A Happy New Year!'\n\n'Good afternoon!' said Scrooge.\n\nHis nephew left the room without an angry word, notwithstanding. He\nstopped at the outer door to bestow the greetings of the season on the\nclerk, who, cold as he was, was warmer than Scrooge; for he returned\nthem cordially.\n\n'There's another fellow,' muttered Scrooge, who overheard him: 'my\nclerk, with fifteen shillings a week, and a wife and family, talking\nabout a merry Christmas. I'll retire to Bedlam.'\n\nThis lunatic, in letting Scrooge's nephew out, had let two other people\nin. They were portly gentlemen, pleasant to behold, and now stood, with\ntheir hats off, in Scrooge's office. They had books and papers in their\nhands, and bowed to him.\n\n'Scrooge and Marley's, I believe,' said one of the gentlemen, referring\nto his list. 'Have I the pleasure of addressing Mr. Scrooge, or Mr.\nMarley?'\n\n'Mr. Marley has been dead these seven years,' Scrooge replied. 'He died\nseven years ago, this very night.'\n\n'We have no doubt his liberality is well represented by his surviving\npartner,' said the gentleman, presenting his credentials.\n\n[Illustration: THEY WERE PORTLY GENTLEMEN, PLEASANT TO BEHOLD]\n\nIt certainly was; for they had been two kindred spirits. At the ominous\nword 'liberality' Scrooge frowned, and shook his head, and handed the\ncredentials back.\n\n'At this festive season of the year, Mr. Scrooge,' said the gentleman,\ntaking up a pen, 'it is more than usually desirable that we should make\nsome slight provision for the poor and destitute, who suffer greatly at\nthe present time. Many thousands are in want of common necessaries;\nhundreds of thousands are in want of common comforts, sir.'\n\n'Are there no prisons?' asked Scrooge.\n\n'Plenty of prisons,' said the gentleman, laying down the pen again.\n\n'And the Union workhouses?' demanded Scrooge. 'Are they still in\noperation?'\n\n'They are. Still,' returned the gentleman, 'I wish I could say they were\nnot.'\n\n'The Treadmill and the Poor Law are in full vigour, then?' said Scrooge.\n\n'Both very busy, sir.'\n\n'Oh! I was afraid, from what you said at first, that something had\noccurred to stop them in their useful course,' said Scrooge. 'I am very\nglad to hear it.'\n\n'Under the impression that they scarcely furnish Christian cheer of mind\nor body to the multitude,' returned the gentleman, 'a few of us are\nendeavouring to raise a fund to buy the Poor some meat and drink, and\nmeans of warmth. We choose this time, because it is a time, of all\nothers, when Want is keenly felt, and Abundance rejoices. What shall I\nput you down for?'\n\n'Nothing!' Scrooge replied.\n\n'You wish to be anonymous?'\n\n'I wish to be left alone,' said Scrooge. 'Since you ask me what I wish,\ngentlemen, that is my answer. I don't make merry myself at Christmas,\nand I can't afford to make idle people merry. I help to support the\nestablishments I have mentioned--they cost enough: and those who are\nbadly off must go there.'\n\n'Many can't go there; and many would rather die.'\n\n'If they would rather die,' said Scrooge, 'they had better do it, and\ndecrease the surplus population. Besides--excuse me--I don't know that.'\n\n'But you might know it,' observed the gentleman.\n\n'It's not my business,' Scrooge returned. 'It's enough for a man to\nunderstand his own business, and not to interfere with other people's.\nMine occupies me constantly. Good afternoon, gentlemen!'\n\nSeeing clearly that it would be useless to pursue their point, the\ngentlemen withdrew. Scrooge resumed his labours with an improved opinion\nof himself, and in a more facetious temper than was usual with him.\n\nMeanwhile the fog and darkness thickened so, that people ran about with\nflaring links, proffering their services to go before horses in\ncarriages, and conduct them on their way. The ancient tower of a church,\nwhose gruff old bell was always peeping slyly down at Scrooge out of a\nGothic window in the wall, became invisible, and struck the hours and\nquarters in the clouds, with tremulous vibrations afterwards, as if its\nteeth were chattering in its frozen head up there. The cold became\nintense. In the main street, at the corner of the court, some labourers\nwere repairing the gas-pipes, and had lighted a great fire in a brazier,\nround which a party of ragged men and boys were gathered: warming their\nhands and winking their eyes before the blaze in rapture. The water-plug\nbeing left in solitude, its overflowings suddenly congealed, and turned\nto misanthropic ice. The brightness of the shops, where holly sprigs and\nberries crackled in the lamp heat of the windows, made pale faces ruddy\nas they passed. Poulterers' and grocers' trades became a splendid joke:\na glorious pageant, with which it was next to impossible to believe that\nsuch dull principles as bargain and sale had anything to do. The Lord\nMayor, in the stronghold of the mighty Mansion House, gave orders to his\nfifty cooks and butlers to keep Christmas as a Lord Mayor's household\nshould; and even the little tailor, whom he had fined five shillings on\nthe previous Monday for being drunk and bloodthirsty in the streets,\nstirred up to-morrow's pudding in his garret, while his lean wife and\nthe baby sallied out to buy the beef.\n\nFoggier yet, and colder! Piercing, searching, biting cold. If the good\nSt. Dunstan had but nipped the Evil Spirit's nose with a touch of such\nweather as that, instead of using his familiar weapons, then indeed he\nwould have roared to lusty purpose. The owner of one scant young nose,\ngnawed and mumbled by the hungry cold as bones are gnawed by dogs,\nstooped down at Scrooge's keyhole to regale him with a Christmas carol;\nbut, at the first sound of\n\n 'God bless you, merry gentleman,\n May nothing you dismay!'\n\nScrooge seized the ruler with such energy of action that the singer fled\nin terror, leaving the keyhole to the fog, and even more congenial\nfrost.\n\nAt length the hour of shutting up the counting-house arrived. With an\nill-will Scrooge dismounted from his stool, and tacitly admitted the\nfact to the expectant clerk in the tank, who instantly snuffed his\ncandle out, and put on his hat.\n\n'You'll want all day to-morrow, I suppose?' said Scrooge.\n\n'If quite convenient, sir.'\n\n'It's not convenient,' said Scrooge, 'and it's not fair. If I was to\nstop half-a-crown for it, you'd think yourself ill used, I'll be bound?'\n\nThe clerk smiled faintly.\n\n'And yet,' said Scrooge, 'you don't think _me_ ill used when I pay a\nday's wages for no work.'\n\n[Illustration: _Bob Cratchit went down a slide on Cornhill, at the end\nof a lane of boys, twenty times, in honour of its being Christmas\nEve_]\n\nThe clerk observed that it was only once a year.\n\n'A poor excuse for picking a man's pocket every twenty-fifth of\nDecember!' said Scrooge, buttoning his greatcoat to the chin. 'But I\nsuppose you must have the whole day. Be here all the earlier next\nmorning.'\n\nThe clerk promised that he would; and Scrooge walked out with a growl.\nThe office was closed in a twinkling, and the clerk, with the long ends\nof his white comforter dangling below his waist (for he boasted no\ngreatcoat), went down a slide on Cornhill, at the end of a lane of boys,\ntwenty times, in honour of its being Christmas Eve, and then ran home to\nCamden Town as hard as he could pelt, to play at blind man's-buff.\n\nScrooge took his melancholy dinner in his usual melancholy tavern; and\nhaving read all the newspapers, and beguiled the rest of the evening\nwith his banker's book, went home to bed. He lived in chambers which had\nonce belonged to his deceased partner. They were a gloomy suite of\nrooms, in a lowering pile of building up a yard, where it had so little\nbusiness to be, that one could scarcely help fancying it must have run\nthere when it was a young house, playing at hide-and-seek with other\nhouses, and have forgotten the way out again. It was old enough now, and\ndreary enough; for nobody lived in it but Scrooge, the other rooms\nbeing all let out as offices. The yard was so dark that even Scrooge,\nwho knew its every stone, was fain to grope with his hands. The fog and\nfrost so hung about the black old gateway of the house, that it seemed\nas if the Genius of the Weather sat in mournful meditation on the\nthreshold.\n\nNow, it is a fact that there was nothing at all particular about the\nknocker on the door, except that it was very large. It is also a fact\nthat Scrooge had seen it, night and morning, during his whole residence\nin that place; also that Scrooge had as little of what is called fancy\nabout him as any man in the City of London, even including--which is a\nbold word--the corporation, aldermen, and livery. Let it also be borne\nin mind that Scrooge had not bestowed one thought on Marley since his\nlast mention of his seven-years'-dead partner that afternoon. And then\nlet any man explain to me, if he can, how it happened that Scrooge,\nhaving his key in the lock of the door, saw in the knocker, without its\nundergoing any intermediate process of change--not a knocker, but\nMarley's face.\n\nMarley's face. It was not in impenetrable shadow, as the other objects\nin the yard were, but had a dismal light about it, like a bad lobster in\na dark cellar. It was not angry or ferocious, but looked at Scrooge as\nMarley used to look; with ghostly spectacles turned up on its ghostly\nforehead. The hair was curiously stirred, as if by breath or hot air;\nand, though the eyes were wide open, they were perfectly motionless.\nThat, and its livid colour, made it horrible; but its horror seemed to\nbe in spite of the face, and beyond its control, rather than a part of\nits own expression.\n\nAs Scrooge looked fixedly at this phenomenon, it was a knocker again.\n\nTo say that he was not startled, or that his blood was not conscious of\na terrible sensation to which it had been a stranger from infancy, would\nbe untrue. But he put his hand upon the key he had relinquished, turned\nit sturdily, walked in, and lighted his candle.\n\nHe _did_ pause, with a moment's irresolution, before he shut the door;\nand he _did_ look cautiously behind it first, as if he half expected to\nbe terrified with the sight of Marley's pigtail sticking out into the\nhall. But there was nothing on the back of the door, except the screws\nand nuts that held the knocker on, so he said, 'Pooh, pooh!' and closed\nit with a bang.\n\nThe sound resounded through the house like thunder. Every room above,\nand every cask in the wine-merchant's cellars below, appeared to have a\nseparate peal of echoes of its own. Scrooge was not a man to be\nfrightened by echoes. He fastened the door, and walked across the hall,\nand up the stairs: slowly, too: trimming his candle as he went.\n\nYou may talk vaguely about driving a coach and six up a good old flight\nof stairs, or through a bad young Act of Parliament; but I mean to say\nyou might have got a hearse up that staircase, and taken it broadwise,\nwith the splinter-bar towards the wall, and the door towards the\nbalustrades: and done it easy. There was plenty of width for that, and\nroom to spare; which is perhaps the reason why Scrooge thought he saw a\nlocomotive hearse going on before him in the gloom. Half-a-dozen\ngas-lamps out of the street wouldn't have lighted the entry too well, so\nyou may suppose that it was pretty dark with Scrooge's dip.\n\nUp Scrooge went, not caring a button for that. Darkness is cheap, and\nScrooge liked it. But, before he shut his heavy door, he walked through\nhis rooms to see that all was right. He had just enough recollection of\nthe face to desire to do that.\n\nSitting-room, bedroom, lumber-room. All as they should be. Nobody under\nthe table, nobody under the sofa; a small fire in the grate; spoon and\nbasin ready; and the little saucepan of gruel (Scrooge had a cold in his\nhead) upon the hob. Nobody under the bed; nobody in the closet; nobody\nin his dressing-gown, which was hanging up in a suspicious attitude\nagainst the wall. Lumber-room as usual. Old fire-guard, old shoes, two\nfish baskets, washing-stand on three legs, and a poker.\n\n[Illustration: _Nobody under the bed; nobody in the closet; nobody in\nhis dressing-gown, which was hanging up in a suspicious attitude against\nthe wall_]\n\nQuite satisfied, he closed his door, and locked himself in; double\nlocked himself in, which was not his custom. Thus secured against\nsurprise, he took off his cravat; put on his dressing-gown and slippers,\nand his nightcap; and sat down before the fire to take his gruel.\n\nIt was a very low fire indeed; nothing on such a bitter night. He was\nobliged to sit close to it, and brood over it, before he could extract\nthe least sensation of warmth from such a handful of fuel. The fireplace\nwas an old one, built by some Dutch merchant long ago, and paved all\nround with quaint Dutch tiles, designed to illustrate the Scriptures.\nThere were Cains and Abels, Pharaoh's daughters, Queens of Sheba,\nAngelic messengers descending through the air on clouds like\nfeather-beds, Abrahams, Belshazzars, Apostles putting off to sea in\nbutter-boats, hundreds of figures to attract his thoughts; and yet that\nface of Marley, seven years dead, came like the ancient Prophet's rod,\nand swallowed up the whole. If each smooth tile had been a blank at\nfirst, with power to shape some picture on its surface from the\ndisjointed fragments of his thoughts, there would have been a copy of\nold Marley's head on every one.\n\n'Humbug!' said Scrooge; and walked across the room.\n\nAfter several turns he sat down again. As he threw his head back in the\nchair, his glance happened to rest upon a bell, a disused bell, that\nhung in the room, and communicated, for some purpose now forgotten, with\na chamber in the highest storey of the building. It was with great\nastonishment, and with a strange, inexplicable dread, that, as he\nlooked, he saw this bell begin to swing. It swung so softly in the\noutset that it scarcely made a sound; but soon it rang out loudly, and\nso did every bell in the house.\n\nThis might have lasted half a minute, or a minute, but it seemed an\nhour. The bells ceased, as they had begun, together. They were succeeded\nby a clanking noise deep down below as if some person were dragging a\nheavy chain over the casks in the wine-merchant's cellar. Scrooge then\nremembered to have heard that ghosts in haunted houses were described as\ndragging chains.\n\nThe cellar door flew open with a booming sound, and then he heard the\nnoise much louder on the floors below; then coming up the stairs; then\ncoming straight towards his door.\n\n'It's humbug still!' said Scrooge. 'I won't believe it.'\n\nHis colour changed, though, when, without a pause, it came on through\nthe heavy door and passed into the room before his eyes. Upon its coming\nin, the dying flame leaped up, as though it cried, 'I know him! Marley's\nGhost!' and fell again.\n\nThe same face: the very same. Marley in his pigtail, usual waistcoat,\ntights, and boots; the tassels on the latter bristling, like his\npigtail, and his coat-skirts, and the hair upon his head. The chain he\ndrew was clasped about his middle. It was long, and wound about him like\na tail; and it was made (for Scrooge observed it closely) of cash-boxes,\nkeys, padlocks, ledgers, deeds, and heavy purses wrought in steel. His\nbody was transparent: so that Scrooge, observing him, and looking\nthrough his waistcoat, could see the two buttons on his coat behind.\n\nScrooge had often heard it said that Marley had no bowels, but he had\nnever believed it until now.\n\nNo, nor did he believe it even now. Though he looked the phantom through\nand through, and saw it standing before him; though he felt the chilling\ninfluence of its death-cold eyes, and marked the very texture of the\nfolded kerchief bound about its head and chin, which wrapper he had not\nobserved before, he was still incredulous, and fought against his\nsenses.\n\n'How now!' said Scrooge, caustic and cold as ever. 'What do you want\nwith me?'\n\n'Much!'--Marley's voice; no doubt about it.\n\n'Who are you?'\n\n'Ask me who I _was_.'\n\n'Who _were_ you, then?' said Scrooge, raising his voice. 'You're\nparticular, for a shade.' He was going to say '_to_ a shade,' but\nsubstituted this, as more appropriate.\n\n'In life I was your partner, Jacob Marley.'\n\n'Can you--can you sit down?' asked Scrooge, looking doubtfully at him.\n\n'I can.'\n\n'Do it, then.'\n\nScrooge asked the question, because he didn't know whether a ghost so\ntransparent might find himself in a condition to take a chair; and felt\nthat in the event of its being impossible, it might involve the\nnecessity of an embarrassing explanation. But the Ghost sat down on the\nopposite side of the fireplace, as if he were quite used to it.\n\n'You don't believe in me,' observed the Ghost.\n\n'I don't,' said Scrooge.\n\n'What evidence would you have of my reality beyond that of your own\nsenses?'\n\n'I don't know,' said Scrooge.\n\n'Why do you doubt your senses?'\n\n'Because,' said Scrooge, 'a little thing affects them. A slight disorder\nof the stomach makes them cheats. You may be an undigested bit of beef,\na blot of mustard, a crumb of cheese, a fragment of an underdone potato.\nThere's more of gravy than of grave about you, whatever you are!'\n\nScrooge was not much in the habit of cracking jokes, nor did he feel in\nhis heart by any means waggish then. The truth is, that he tried to be\nsmart, as a means of distracting his own attention, and keeping down his\nterror; for the spectre's voice disturbed the very marrow in his bones.\n\nTo sit staring at those fixed, glazed eyes in silence, for a moment,\nwould play, Scrooge felt, the very deuce with him. There was something\nvery awful, too, in the spectre's being provided with an infernal\natmosphere of his own. Scrooge could not feel it himself, but this was\nclearly the case; for though the Ghost sat perfectly motionless, its\nhair, and skirts, and tassels were still agitated as by the hot vapour\nfrom an oven.\n\n'You see this toothpick?' said Scrooge, returning quickly to the charge,\nfor the reason just assigned; and wishing, though it were only for a\nsecond, to divert the vision's stony gaze from himself.\n\n'I do,' replied the Ghost.\n\n'You are not looking at it,' said Scrooge.\n\n'But I see it,' said the Ghost, 'notwithstanding.'\n\n'Well!' returned Scrooge, 'I have but to swallow this, and be for the\nrest of my days persecuted by a legion of goblins, all of my own\ncreation. Humbug, I tell you: humbug!'\n\nAt this the spirit raised a frightful cry, and shook its chain with such\na dismal and appalling noise, that Scrooge held on tight to his chair,\nto save himself from falling in a swoon. But how much greater was his\nhorror when the phantom, taking off the bandage round his head, as if it\nwere too warm to wear indoors, its lower jaw dropped down upon its\nbreast!\n\nScrooge fell upon his knees, and clasped his hands before his face.\n\n'Mercy!' he said. 'Dreadful apparition, why do you trouble me?'\n\n'Man of the worldly mind!' replied the Ghost, 'do you believe in me or\nnot?'\n\n'I do,' said Scrooge; 'I must. But why do spirits walk the earth, and\nwhy do they come to me?'\n\n'It is required of every man,' the Ghost returned, 'that the spirit\nwithin him should walk abroad among his fellow-men, and travel far and\nwide; and, if that spirit goes not forth in life, it is condemned to do\nso after death. It is doomed to wander through the world--oh, woe is\nme!--and witness what it cannot share, but might have shared on earth,\nand turned to happiness!'\n\nAgain the spectre raised a cry, and shook its chain and wrung its\nshadowy hands.\n\n'You are fettered,' said Scrooge, trembling. 'Tell me why?'\n\n'I wear the chain I forged in life,' replied the Ghost. 'I made it link\nby link, and yard by yard; I girded it on of my own free will, and of\nmy own free will I wore it. Is its pattern strange to _you_?'\n\nScrooge trembled more and more.\n\n'Or would you know,' pursued the Ghost, 'the weight and length of the\nstrong coil you bear yourself? It was full as heavy and as long as this\nseven Christmas Eves ago. You have laboured on it since. It is a\nponderous chain!'\n\nScrooge glanced about him on the floor, in the expectation of finding\nhimself surrounded by some fifty or sixty fathoms of iron cable; but he\ncould see nothing.\n\n'Jacob!' he said imploringly. 'Old Jacob Marley, tell me more! Speak\ncomfort to me, Jacob!'\n\n'I have none to give,' the Ghost replied. 'It comes from other regions,\nEbenezer Scrooge, and is conveyed by other ministers, to other kinds of\nmen. Nor can I tell you what I would. A very little more is all\npermitted to me. I cannot rest, I cannot stay, I cannot linger anywhere.\nMy spirit never walked beyond our counting-house--mark me;--in life my\nspirit never roved beyond the narrow limits of our money-changing hole;\nand weary journeys lie before me!'\n\nIt was a habit with Scrooge, whenever he became thoughtful, to put his\nhands in his breeches pockets. Pondering on what the Ghost had said, he\ndid so now, but without lifting up his eyes, or getting off his knees.\n\n[Illustration: ON THE WINGS OF THE WIND]\n\n'You must have been very slow about it, Jacob,' Scrooge observed in a\nbusiness-like manner, though with humility and deference.\n\n'Slow!' the Ghost repeated.\n\n'Seven years dead,' mused Scrooge. 'And travelling all the time?'\n\n'The whole time,' said the Ghost. 'No rest, no peace. Incessant torture\nof remorse.'\n\n'You travel fast?' said Scrooge.\n\n[Illustration]\n\n'On the wings of the wind,' replied the Ghost.\n\n'You might have got over a great quantity of ground in seven years,'\nsaid Scrooge.\n\nThe Ghost, on hearing this, set up another cry, and clanked its chain so\nhideously in the dead silence of the night, that the Ward would have\nbeen justified in indicting it for a nuisance.\n\n'Oh! captive, bound, and double-ironed,' cried the phantom, 'not to know\nthat ages of incessant labour, by immortal creatures, for this earth\nmust pass into eternity before the good of which it is susceptible is\nall developed! Not to know that any Christian spirit working kindly in\nits little sphere, whatever it may be, will find its mortal life too\nshort for its vast means of usefulness! Not to know that no space of\nregret can make amends for one life's opportunities misused! Yet such\nwas I! Oh, such was I!'\n\n'But you were always a good man of business, Jacob,' faltered Scrooge,\nwho now began to apply this to himself.\n\n'Business!' cried the Ghost, wringing its hands again. 'Mankind was my\nbusiness. The common welfare was my business; charity, mercy,\nforbearance, and benevolence were, all, my business. The dealings of my\ntrade were but a drop of water in the comprehensive ocean of my\nbusiness!'\n\nIt held up its chain at arm's-length, as if that were the cause of all\nits unavailing grief, and flung it heavily upon the ground again.\n\n'At this time of the rolling year,' the spectre said, 'I suffer most.\nWhy did I walk through crowds of fellow-beings with my eyes turned down,\nand never raise them to that blessed Star which led the Wise Men to a\npoor abode? Were there no poor homes to which its light would have\nconducted _me_?'\n\nScrooge was very much dismayed to hear the spectre going on at this\nrate, and began to quake exceedingly.\n\n'Hear me!' cried the Ghost. 'My time is nearly gone.'\n\n'I will,' said Scrooge. 'But don't be hard upon me! Don't be flowery,\nJacob! Pray!'\n\n'How it is that I appear before you in a shape that you can see, I may\nnot tell. I have sat invisible beside you many and many a day.'\n\nIt was not an agreeable idea. Scrooge shivered, and wiped the\nperspiration from his brow.\n\n'That is no light part of my penance,' pursued the Ghost. 'I am here\nto-night to warn you that you have yet a chance and hope of escaping my\nfate. A chance and hope of my procuring, Ebenezer.'\n\n'You were always a good friend to me,' said Scrooge. 'Thankee!'\n\n'You will be haunted,' resumed the Ghost, 'by Three Spirits.'\n\nScrooge's countenance fell almost as low as the Ghost's had done.\n\n'Is that the chance and hope you mentioned, Jacob?' he demanded in a\nfaltering voice.\n\n'It is.'\n\n'I--I think I'd rather not,' said Scrooge.\n\n'Without their visits,' said the Ghost, 'you cannot hope to shun the\npath I tread. Expect the first to-morrow when the bell tolls One.'\n\n'Couldn't I take 'em all at once, and have it over, Jacob?' hinted\nScrooge.\n\n'Expect the second on the next night at the same hour. The third, upon\nthe next night when the last stroke of Twelve has ceased to vibrate.\nLook to see me no more; and look that, for your own sake, you remember\nwhat has passed between us!'\n\nWhen it had said these words, the spectre took its wrapper from the\ntable, and bound it round its head as before. Scrooge knew this by the\nsmart sound its teeth made when the jaws were brought together by the\nbandage. He ventured to raise his eyes again, and found his supernatural\nvisitor confronting him in an erect attitude, with its chain wound over\nand about its arm.\n\n[Illustration: _The air was filled with phantoms, wandering hither and\nthither in restless haste and moaning as they went_]\n\nThe apparition walked backward from him; and, at every step it took, the\nwindow raised itself a little, so that, when the spectre reached it, it\nwas wide open. It beckoned Scrooge to approach, which he did. When they\nwere within two paces of each other, Marley's Ghost held up its hand,\nwarning him to come no nearer. Scrooge stopped.\n\nNot so much in obedience as in surprise and fear; for, on the raising of\nthe hand, he became sensible of confused noises in the air; incoherent\nsounds of lamentation and regret; wailings inexpressibly sorrowful and\nself-accusatory. The spectre, after listening for a moment, joined in\nthe mournful dirge; and floated out upon the bleak, dark night.\n\nScrooge followed to the window: desperate in his curiosity. He looked\nout.\n\nThe air was filled with phantoms, wandering hither and thither in\nrestless haste, and moaning as they went. Every one of them wore chains\nlike Marley's Ghost; some few (they might be guilty governments) were\nlinked together; none were free. Many had been personally known to\nScrooge in their lives. He had been quite familiar with one old ghost in\na white waistcoat, with a monstrous iron safe attached to its ankle, who\ncried piteously at being unable to assist a wretched woman with an\ninfant, whom it saw below upon a doorstep. The misery with them all was\nclearly, that they sought to interfere, for good, in human matters, and\nhad lost the power for ever.\n\nWhether these creatures faded into mist, or mist enshrouded them, he\ncould not tell. But they and their spirit voices faded together; and\nthe night became as it had been when he walked home.\n\nScrooge closed the window, and examined the door by which the Ghost had\nentered. It was double locked, as he had locked it with his own hands,\nand the bolts were undisturbed. He tried to say 'Humbug!' but stopped at\nthe first syllable. And being, from the emotions he had undergone, or\nthe fatigues of the day, or his glimpse of the Invisible World, or the\ndull conversation of the Ghost, or the lateness of the hour, much in\nneed of repose, went straight to bed without undressing, and fell asleep\nupon the instant.\n\n[Illustration]\n\n\nSTAVE TWO\n\n[Illustration]\n\n\n\n\nTHE FIRST OF THE THREE SPIRITS\n\n\nWhen Scrooge awoke it was so dark, that, looking out of bed, he could\nscarcely distinguish the transparent window from the opaque walls of his\nchamber. He was endeavouring to pierce the darkness with his ferret\neyes, when the chimes of a neighbouring church struck the four quarters.\nSo he listened for the hour.\n\nTo his great astonishment, the heavy bell went on from six to seven, and\nfrom seven to eight, and regularly up to twelve; then stopped. Twelve!\nIt was past two when he went to bed. The clock was wrong. An icicle must\nhave got into the works. Twelve!\n\nHe touched the spring of his repeater, to correct this most preposterous\nclock. Its rapid little pulse beat twelve, and stopped.\n\n'Why, it isn't possible,' said Scrooge, 'that I can have slept through a\nwhole day and far into another night. It isn't possible that anything\nhas happened to the sun, and this is twelve at noon!'\n\nThe idea being an alarming one, he scrambled out of bed, and groped his\nway to the window. He was obliged to rub the frost off with the sleeve\nof his dressing-gown before he could see anything; and could see very\nlittle then. All he could make out was, that it was still very foggy and\nextremely cold, and that there was no noise of people running to and\nfro, and making a great stir, as there unquestionably would have been if\nnight had beaten off bright day, and taken possession of the world. This\nwas a great relief, because 'Three days after sight of this First of\nExchange pay to Mr. Ebenezer Scrooge or his order,' and so forth, would\nhave become a mere United States security if there were no days to count\nby.\n\nScrooge went to bed again, and thought, and thought, and thought it over\nand over, and could make nothing of it. The more he thought, the more\nperplexed he was; and, the more he endeavoured not to think, the more he\nthought.\n\nMarley's Ghost bothered him exceedingly. Every time he resolved within\nhimself, after mature inquiry that it was all a dream, his mind flew\nback again, like a strong spring released, to its first position, and\npresented the same problem to be worked all through, 'Was it a dream or\nnot?'\n\nScrooge lay in this state until the chime had gone three-quarters more,\nwhen he remembered, on a sudden, that the Ghost had warned him of a\nvisitation when the bell tolled one. He resolved to lie awake until the\nhour was passed; and, considering that he could no more go to sleep than\ngo to heaven, this was, perhaps, the wisest resolution in his power.\n\nThe quarter was so long, that he was more than once convinced he must\nhave sunk into a doze unconsciously, and missed the clock. At length it\nbroke upon his listening ear.\n\n'Ding, dong!'\n\n'A quarter past,' said Scrooge, counting.\n\n'Ding, dong!'\n\n'Half past,' said Scrooge.\n\n'Ding, dong!'\n\n'A quarter to it.' said Scrooge.\n\n'Ding, dong!'\n\n'The hour itself,' said Scrooge triumphantly, 'and nothing else!'\n\nHe spoke before the hour bell sounded, which it now did with a deep,\ndull, hollow, melancholy ONE. Light flashed up in the room upon the\ninstant, and the curtains of his bed were drawn.\n\nThe curtains of his bed were drawn aside, I tell you, by a hand. Not\nthe curtains at his feet, nor the curtains at his back, but those to\nwhich his face was addressed. The curtains of his bed were drawn aside;\nand Scrooge, starting up into a half-recumbent attitude, found himself\nface to face with the unearthly visitor who drew them: as close to it as\nI am now to you, and I am standing in the spirit at your elbow.\n\nIt was a strange figure--like a child; yet not so like a child as like\nan old man, viewed through some supernatural medium, which gave him the\nappearance of having receded from the view, and being diminished to a\nchild's proportions. Its hair, which hung about its neck and down its\nback, was white, as if with age; and yet the face had not a wrinkle in\nit, and the tenderest bloom was on the skin. The arms were very long and\nmuscular; the hands the same, as if its hold were of uncommon strength.\nIts legs and feet, most delicately formed, were, like those upper\nmembers, bare. It wore a tunic of the purest white; and round its waist\nwas bound a lustrous belt, the sheen of which was beautiful. It held a\nbranch of fresh green holly in its hand; and, in singular contradiction\nof that wintry emblem, had its dress trimmed with summer flowers. But\nthe strangest thing about it was, that from the crown of its head there\nsprang a bright clear jet of light, by which all this was visible; and\nwhich was doubtless the occasion of its using, in its duller moments, a\ngreat extinguisher for a cap, which it now held under its arm.\n\nEven this, though, when Scrooge looked at it with increasing steadiness,\nwas _not_ its strangest quality. For, as its belt sparkled and\nglittered, now in one part and now in another, and what was light one\ninstant at another time was dark, so the figure itself fluctuated in its\ndistinctness; being now a thing with one arm, now with one leg, now with\ntwenty legs, now a pair of legs without a head, now a head without a\nbody: of which dissolving parts no outline would be visible in the dense\ngloom wherein they melted away. And, in the very wonder of this, it\nwould be itself again; distinct and clear as ever.\n\n'Are you the Spirit, sir, whose coming was foretold to me?' asked\nScrooge.\n\n'I am!'\n\nThe voice was soft and gentle. Singularly low, as if, instead of being\nso close behind him, it were at a distance.\n\n'Who and what are you?' Scrooge demanded.\n\n'I am the Ghost of Christmas Past.'\n\n'Long Past?' inquired Scrooge, observant of its dwarfish stature.\n\n'No. Your past.'\n\nPerhaps Scrooge could not have told anybody why, if anybody could have\nasked him; but he had a special desire to see the Spirit in his cap,\nand begged him to be covered.\n\n'What!' exclaimed the Ghost, 'would you so soon put out, with worldly\nhands, the light I give? Is it not enough that you are one of those\nwhose passions made this cap, and force me through whole trains of years\nto wear it low upon my brow?'\n\nScrooge reverently disclaimed all intention to offend or any knowledge\nof having wilfully 'bonneted' the Spirit at any period of his life. He\nthen made bold to inquire what business brought him there.\n\n'Your welfare!' said the Ghost.\n\nScrooge expressed himself much obliged, but could not help thinking that\na night of unbroken rest would have been more conducive to that end. The\nSpirit must have heard him thinking, for it said immediately--\n\n'Your reclamation, then. Take heed!'\n\nIt put out its strong hand as it spoke, and clasped him gently by the\narm.\n\n'Rise! and walk with me!'\n\nIt would have been in vain for Scrooge to plead that the weather and the\nhour were not adapted to pedestrian purposes; that bed was warm, and the\nthermometer a long way below freezing; that he was clad but lightly in\nhis slippers, dressing-gown, and nightcap; and that he had a cold upon\nhim at that time. The grasp, though gentle as a woman's hand, was not\nto be resisted. He rose; but, finding that the Spirit made towards the\nwindow, clasped its robe in supplication.\n\n'I am a mortal,' Scrooge remonstrated, 'and liable to fall.'\n\n'Bear but a touch of my hand _there_,' said the Spirit, laying it upon\nhis heart, 'and you shall be upheld in more than this!'\n\nAs the words were spoken, they passed through the wall, and stood upon\nan open country road, with fields on either hand. The city had entirely\nvanished. Not a vestige of it was to be seen. The darkness and the mist\nhad vanished with it, for it was a clear, cold, winter day, with snow\nupon the ground.\n\n'Good Heaven!' said Scrooge, clasping his hands together, as he looked\nabout him. 'I was bred in this place. I was a boy here!'\n\nThe Spirit gazed upon him mildly. Its gentle touch, though it had been\nlight and instantaneous, appeared still present to the old man's sense\nof feeling. He was conscious of a thousand odours floating in the air,\neach one connected with a thousand thoughts, and hopes, and joys, and\ncares long, long forgotten!\n\n'Your lip is trembling,' said the Ghost. 'And what is that upon your\ncheek?'\n\nScrooge muttered, with an unusual catching in his voice, that it was a\npimple; and begged the Ghost to lead him where he would.\n\n'You recollect the way?' inquired the Spirit.\n\n'Remember it!' cried Scrooge with fervour; 'I could walk it blindfold.'\n\n'Strange to have forgotten it for so many years!' observed the Ghost.\n'Let us go on.'\n\nThey walked along the road, Scrooge recognising every gate, and post,\nand tree, until a little market-town appeared in the distance, with its\nbridge, its church, and winding river. Some shaggy ponies now were seen\ntrotting towards them with boys upon their backs, who called to other\nboys in country gigs and carts, driven by farmers. All these boys were\nin great spirits, and shouted to each other, until the broad fields were\nso full of merry music, that the crisp air laughed to hear it.\n\n'These are but shadows of the things that have been,' said the Ghost.\n'They have no consciousness of us.'\n\nThe jocund travellers came on; and as they came, Scrooge knew and named\nthem every one. Why was he rejoiced beyond all bounds to see them? Why\ndid his cold eye glisten, and his heart leap up as they went past? Why\nwas he filled with gladness when he heard them give each other Merry\nChristmas, as they parted at cross-roads and by-ways for their several\nhomes? What was merry Christmas to Scrooge? Out upon merry Christmas!\nWhat good had it ever done to him?\n\n'The school is not quite deserted,' said the Ghost. 'A solitary child,\nneglected by his friends, is left there still.'\n\nScrooge said he knew it. And he sobbed.\n\nThey left the high-road by a well-remembered lane and soon approached a\nmansion of dull red brick, with a little weather-cock surmounted cupola\non the roof, and a bell hanging in it. It was a large house, but one of\nbroken fortunes; for the spacious offices were little used, their walls\nwere damp and mossy, their windows broken, and their gates decayed.\nFowls clucked and strutted in the stables; and the coach-houses and\nsheds were overrun with grass. Nor was it more retentive of its ancient\nstate within; for, entering the dreary hall, and glancing through the\nopen doors of many rooms, they found them poorly furnished, cold, and\nvast. There was an earthy savour in the air, a chilly bareness in the\nplace, which associated itself somehow with too much getting up by\ncandle light and not too much to eat.\n\nThey went, the Ghost and Scrooge, across the hall, to a door at the back\nof the house. It opened before them, and disclosed a long, bare,\nmelancholy room, made barer still by lines of plain deal forms and\ndesks. At one of these a lonely boy was reading near a feeble fire; and\nScrooge sat down upon a form, and wept to see his poor forgotten self as\nhe had used to be.\n\nNot a latent echo in the house, not a squeak and scuffle from the mice\nbehind the panelling, not a drip from the half-thawed waterspout in the\ndull yard behind, not a sigh among the leafless boughs of one despondent\npoplar, not the idle swinging of an empty storehouse door, no, not a\nclicking in the fire, but fell upon the heart of Scrooge with softening\ninfluence, and gave a freer passage to his tears.\n\nThe Spirit touched him on the arm, and pointed to his younger self,\nintent upon his reading. Suddenly a man in foreign garments, wonderfully\nreal and distinct to look at, stood outside the window, with an axe\nstuck in his belt, and leading by the bridle an ass laden with wood.\n\n'Why, it's Ali Baba!' Scrooge exclaimed in ecstasy. 'It's dear old\nhonest Ali Baba! Yes, yes, I know. One Christmas-time, when yonder\nsolitary child was left here all alone, he _did_ come, for the first\ntime, just like that. Poor boy! And Valentine,' said Scrooge, 'and his\nwild brother, Orson; there they go! And what's his name, who was put\ndown in his drawers, asleep, at the gate of Damascus; don't you see him?\nAnd the Sultan's Groom turned upside down by the Genii; there he is upon\nhis head! Serve him right! I'm glad of it. What business had he to be\nmarried to the Princess?'\n\nTo hear Scrooge expending all the earnestness of his nature on such\nsubjects, in a most extraordinary voice between laughing and crying; and\nto see his heightened and excited face; would have been a surprise to\nhis business friends in the City, indeed.\n\n'There's the Parrot!' cried Scrooge. 'Green body and yellow tail, with a\nthing like a lettuce growing out of the top of his head; there he is!\nPoor Robin Crusoe he called him, when he came home again after sailing\nround the island. \"Poor Robin Crusoe, where have you been, Robin\nCrusoe?\" The man thought he was dreaming, but he wasn't. It was the\nParrot, you know. There goes Friday, running for his life to the little\ncreek! Halloa! Hoop! Halloo!'\n\nThen, with a rapidity of transition very foreign to his usual character,\nhe said, in pity for his former self, 'Poor boy!' and cried again.\n\n'I wish,' Scrooge muttered, putting his hand in his pocket, and looking\nabout him, after drying his eyes with his cuff; 'but it's too late now.'\n\n'What is the matter?' asked the Spirit.\n\n'Nothing,' said Scrooge. 'Nothing. There was a boy singing a Christmas\ncarol at my door last night. I should like to have given him something:\nthat's all.'\n\nThe Ghost smiled thoughtfully, and waved its hand, saying as it did so,\n'Let us see another Christmas!'\n\nScrooge's former self grew larger at the words, and the room became a\nlittle darker and more dirty. The panels shrunk, the windows cracked;\nfragments of plaster fell out of the ceiling, and the naked laths were\nshown instead; but how all this was brought about Scrooge knew no more\nthan you do. He only knew that it was quite correct; that everything had\nhappened so; that there he was, alone again, when all the other boys had\ngone home for the jolly holidays.\n\nHe was not reading now, but walking up and down despairingly. Scrooge\nlooked at the Ghost, and, with a mournful shaking of his head, glanced\nanxiously towards the door.\n\nIt opened; and a little girl, much younger than the boy, came darting\nin, and, putting her arms about his neck, and often kissing him,\naddressed him as her 'dear, dear brother.'\n\n'I have come to bring you home, dear brother!' said the child, clapping\nher tiny hands, and bending down to laugh. 'To bring you home, home,\nhome!'\n\n'Home, little Fan?' returned the boy.\n\n'Yes!' said the child, brimful of glee. 'Home for good and all. Home for\never and ever. Father is so much kinder than he used to be, that home's\nlike heaven! He spoke so gently to me one dear night when I was going to\nbed, that I was not afraid to ask him once more if you might come home;\nand he said Yes, you should; and sent me in a coach to bring you. And\nyou're to be a man!' said the child, opening her eyes; 'and are never to\ncome back here; but first we're to be together all the Christmas long,\nand have the merriest time in all the world.'\n\n'You are quite a woman, little Fan!' exclaimed the boy.\n\nShe clapped her hands and laughed, and tried to touch his head; but,\nbeing too little laughed again, and stood on tiptoe to embrace him. Then\nshe began to drag him, in her childish eagerness, towards the door; and\nhe, nothing loath to go, accompanied her.\n\nA terrible voice in the hall cried, 'Bring down Master Scrooge's box,\nthere!' and in the hall appeared the schoolmaster himself, who glared on\nMaster Scrooge with a ferocious condescension, and threw him into a\ndreadful state of mind by shaking hands with him. He then conveyed him\nand his sister into the veriest old well of a shivering best parlour\nthat ever was seen, where the maps upon the wall, and the celestial and\nterrestrial globes in the windows, were waxy with cold. Here he produced\na decanter of curiously light wine, and a block of curiously heavy cake,\nand administered instalments of those dainties to the young people; at\nthe same time sending out a meagre servant to offer a glass of\n'something' to the postboy, who answered that he thanked the gentleman,\nbut, if it was the same tap as he had tasted before, he had rather not.\nMaster Scrooge's trunk being by this time tied on to the top of the\nchaise, the children bade the schoolmaster good-bye right willingly;\nand, getting into it, drove gaily down the garden sweep; the quick\nwheels dashing the hoar-frost and snow from off the dark leaves of the\nevergreens like spray.\n\n[Illustration: HE PRODUCED A DECANTER OF CURIOUSLY LIGHT WINE, AND A\nBLOCK OF CURIOUSLY HEAVY CAKE]\n\n'Always a delicate creature, whom a breath might have withered,' said\nthe Ghost. 'But she had a large heart!'\n\n'So she had,' cried Scrooge. 'You're right. I will not gainsay it,\nSpirit. God forbid!'\n\n'She died a woman,' said the Ghost, 'and had, as I think, children.'\n\n'One child,' Scrooge returned.\n\n'True,' said the Ghost. 'Your nephew!'\n\nScrooge seemed uneasy in his mind, and answered briefly, 'Yes.'\n\nAlthough they had but that moment left the school behind them, they were\nnow in the busy thoroughfares of a city, where shadowy passengers passed\nand re-passed; where shadowy carts and coaches battled for the way, and\nall the strife and tumult of a real city were. It was made plain enough,\nby the dressing of the shops, that here, too, it was Christmas-time\nagain; but it was evening, and the streets were lighted up.\n\nThe Ghost stopped at a certain warehouse door, and asked Scrooge if he\nknew it.\n\n'Know it!' said Scrooge. 'Was I apprenticed here?'\n\nThey went in. At sight of an old gentleman in a Welsh wig, sitting\nbehind such a high desk, that if he had been two inches taller, he must\nhave knocked his head against the ceiling, Scrooge cried in great\nexcitement--\n\n'Why, it's old Fezziwig! Bless his heart, it's Fezziwig alive again!'\n\nOld Fezziwig laid down his pen, and looked up at the clock, which\npointed to the hour of seven. He rubbed his hands; adjusted his\ncapacious waistcoat; laughed all over himself, from his shoes to his\norgan of benevolence; and called out, in a comfortable, oily, rich, fat,\njovial voice--\n\n'Yo ho, there! Ebenezer! Dick!'\n\nScrooge's former self, now grown a young man, came briskly in,\naccompanied by his fellow-'prentice.\n\n'Dick Wilkins, to be sure!' said Scrooge to the Ghost. 'Bless me, yes.\nThere he is. He was very much attached to me, was Dick. Poor Dick! Dear,\ndear!'\n\n'Yo ho, my boys!' said Fezziwig. 'No more work to-night. Christmas Eve,\nDick. Christmas, Ebenezer! Let's have the shutters up,' cried old\nFezziwig, with a sharp clap of his hands, 'before a man can say Jack\nRobinson!'\n\nYou wouldn't believe how those two fellows went at it! They charged into\nthe street with the shutters--one, two, three--had 'em up in their\nplaces--four, five, six--barred 'em and pinned 'em--seven, eight,\nnine--and came back before you could have got to twelve, panting like\nracehorses.\n\n'Hilli-ho!' cried old Fezziwig, skipping down from the high desk with\nwonderful agility. 'Clear away, my lads, and let's have lots of room\nhere! Hilli-ho, Dick! Chirrup, Ebenezer!'\n\nClear away! There was nothing they wouldn't have cleared away, or\ncouldn't have cleared away, with old Fezziwig looking on. It was done in\na minute. Every movable was packed off, as if it were dismissed from\npublic life for evermore; the floor was swept and watered, the lamps\nwere trimmed, fuel was heaped upon the fire; and the warehouse was as\nsnug, and warm, and dry, and bright a ball-room as you would desire to\nsee upon a winter's night.\n\nIn came a fiddler with a music-book, and went up to the lofty desk, and\nmade an orchestra of it, and tuned like fifty stomach-aches. In came\nMrs. Fezziwig, one vast substantial smile. In came the three Miss\nFezziwigs, beaming and lovable. In came the six young followers whose\nhearts they broke. In came all the young men and women employed in the\nbusiness. In came the housemaid, with her cousin the baker. In came the\ncook with her brother's particular friend the milkman. In came the boy\nfrom over the way, who was suspected of not having board enough from his\nmaster; trying to hide himself behind the girl from next door but one,\nwho was proved to have had her ears pulled by her mistress. In they all\ncame, one after another; some shyly, some boldly, some gracefully, some\nawkwardly, some pushing, some pulling; in they all came, any how and\nevery how. Away they all went, twenty couple at once; hands half round\nand back again the other way; down the middle and up again; round and\nround in various stages of affectionate grouping; old top couple always\nturning up in the wrong place; new top couple starting off again as soon\nas they got there; all top couples at last, and not a bottom one to help\nthem! When this result was brought about, old Fezziwig, clapping his\nhands to stop the dance, cried out, 'Well done!' and the fiddler plunged\nhis hot face into a pot of porter, especially provided for that purpose.\nBut, scorning rest upon his reappearance, he instantly began again,\nthough there were no dancers yet, as if the other fiddler had been\ncarried home, exhausted, on a shutter, and he were a bran-new man\nresolved to beat him out of sight, or perish.\n\n[Illustration: _Then old Fezziwig stood out to dance with Mrs.\nFezziwig_]\n\nThere were more dances, and there were forfeits, and more dances, and\nthere was cake, and there was negus, and there was a great piece of Cold\nRoast, and there was a great piece of Cold Boiled, and there were\nmince-pies, and plenty of beer. But the great effect of the evening came\nafter the Roast and Boiled, when the fiddler (an artful dog, mind! The\nsort of man who knew his business better than you or I could have told\nit him!) struck up 'Sir Roger de Coverley.' Then old Fezziwig stood\nout to dance with Mrs. Fezziwig. Top couple, too; with a good stiff\npiece of work cut out for them; three or four and twenty pair of\npartners; people who were not to be trifled with; people who would\ndance, and had no notion of walking.\n\nBut if they had been twice as many--ah! four times--old Fezziwig would\nhave been a match for them, and so would Mrs. Fezziwig. As to _her_, she\nwas worthy to be his partner in every sense of the term. If that's not\nhigh praise, tell me higher, and I'll use it. A positive light appeared\nto issue from Fezziwig's calves. They shone in every part of the dance\nlike moons. You couldn't have predicted, at any given time, what would\nbecome of them next. And when old Fezziwig and Mrs. Fezziwig had gone\nall through the dance; advance and retire, both hands to your partner,\nbow and curtsy, cork-screw, thread-the-needle, and back again to your\nplace: Fezziwig 'cut'--cut so deftly, that he appeared to wink with his\nlegs, and came upon his feet again without a stagger.\n\nWhen the clock struck eleven, this domestic ball broke up. Mr. and Mrs.\nFezziwig took their stations, one on either side the door, and, shaking\nhands with every person individually as he or she went out, wished him\nor her a Merry Christmas. When everybody had retired but the two\n'prentices, they did the same to them; and thus the cheerful voices died\naway, and the lads were left to their beds; which were under a counter\nin the back-shop.\n\nDuring the whole of this time Scrooge had acted like a man out of his\nwits. His heart and soul were in the scene, and with his former self. He\ncorroborated everything, remembered everything, enjoyed everything, and\nunderwent the strangest agitation. It was not until now, when the bright\nfaces of his former self and Dick were turned from them, that he\nremembered the Ghost, and became conscious that it was looking full upon\nhim, while the light upon its head burnt very clear.\n\n'A small matter,' said the Ghost, 'to make these silly folks so full of\ngratitude.'\n\n'Small!' echoed Scrooge.\n\nThe Spirit signed to him to listen to the two apprentices, who were\npouring out their hearts in praise of Fezziwig; and when he had done so,\nsaid:\n\n'Why! Is it not? He has spent but a few pounds of your mortal money:\nthree or four, perhaps. Is that so much that he deserves this praise?'\n\n'It isn't that,' said Scrooge, heated by the remark, and speaking\nunconsciously like his former, not his latter self. 'It isn't that,\nSpirit. He has the power to render us happy or unhappy; to make our\nservice light or burdensome; a pleasure or a toil. Say that his power\nlies in words and looks; in things so slight and insignificant that it\nis impossible to add and count 'em up: what then? The happiness he gives\nis quite as great as if it cost a fortune.'\n\nHe felt the Spirit's glance, and stopped.\n\n'What is the matter?' asked the Ghost.\n\n'Nothing particular,' said Scrooge.\n\n'Something, I think?' the Ghost insisted.\n\n'No,' said Scrooge, 'no. I should like to be able to say a word or two\nto my clerk just now. That's all.'\n\nHis former self turned down the lamps as he gave utterance to the wish;\nand Scrooge and the Ghost again stood side by side in the open air.\n\n'My time grows short,' observed the Spirit. 'Quick!'\n\nThis was not addressed to Scrooge, or to any one whom he could see, but\nit produced an immediate effect. For again Scrooge saw himself. He was\nolder now; a man in the prime of life. His face had not the harsh and\nrigid lines of later years; but it had begun to wear the signs of care\nand avarice. There was an eager, greedy, restless motion in the eye,\nwhich showed the passion that had taken root, and where the shadow of\nthe growing tree would fall.\n\nHe was not alone, but sat by the side of a fair young girl in a mourning\ndress: in whose eyes there were tears, which sparkled in the light that\nshone out of the Ghost of Christmas Past.\n\n'It matters little,' she said softly. 'To you, very little. Another idol\nhas displaced me; and, if it can cheer and comfort you in time to come\nas I would have tried to do, I have no just cause to grieve.'\n\n'What Idol has displaced you?' he rejoined.\n\n'A golden one.'\n\n'This is the even-handed dealing of the world!' he said. 'There is\nnothing on which it is so hard as poverty; and there is nothing it\nprofesses to condemn with such severity as the pursuit of wealth!'\n\n'You fear the world too much,' she answered gently. 'All your other\nhopes have merged into the hope of being beyond the chance of its sordid\nreproach. I have seen your nobler aspirations fall off one by one, until\nthe master passion, Gain, engrosses you. Have I not?'\n\n'What then?' he retorted. 'Even if I have grown so much wiser, what\nthen? I am not changed towards you.'\n\nShe shook her head.\n\n'Am I?'\n\n'Our contract is an old one. It was made when we were both poor, and\ncontent to be so, until, in good season, we could improve our worldly\nfortune by our patient industry. You _are_ changed. When it was made you\nwere another man.'\n\n'I was a boy,' he said impatiently.\n\n'Your own feeling tells you that you were not what you are,' she\nreturned. 'I am. That which promised happiness when we were one in heart\nis fraught with misery now that we are two. How often and how keenly I\nhave thought of this I will not say. It is enough that I _have_ thought\nof it, and can release you.'\n\n'Have I ever sought release?'\n\n'In words. No. Never.'\n\n'In what, then?'\n\n'In a changed nature; in an altered spirit; in another atmosphere of\nlife; another Hope as its great end. In everything that made my love of\nany worth or value in your sight. If this had never been between us,'\nsaid the girl, looking mildly, but with steadiness, upon him; 'tell me,\nwould you seek me out and try to win me now? Ah, no!'\n\nHe seemed to yield to the justice of this supposition in spite of\nhimself. But he said, with a struggle, 'You think not.'\n\n'I would gladly think otherwise if I could,' she answered. 'Heaven\nknows! When _I_ have learned a Truth like this, I know how strong and\nirresistible it must be. But if you were free to-day, to-morrow,\nyesterday, can even I believe that you would choose a dowerless\ngirl--you who, in your very confidence with her, weigh everything by\nGain: or, choosing her, if for a moment you were false enough to your\none guiding principle to do so, do I not know that your repentance and\nregret would surely follow? I do; and I release you. With a full heart,\nfor the love of him you once were.'\n\n[Illustration: SHE LEFT HIM, AND THEY PARTED]\n\nHe was about to speak; but, with her head turned from him, she resumed:\n\n'You may--the memory of what is past half makes me hope you will--have\npain in this. A very, very brief time, and you will dismiss the\nrecollection of it gladly, as an unprofitable dream, from which it\nhappened well that you awoke. May you be happy in the life you have\nchosen!'\n\nShe left him, and they parted.\n\n'Spirit!' said Scrooge, 'show me no more! Conduct me home. Why do you\ndelight to torture me?'\n\n'One shadow more!' exclaimed the Ghost.\n\n'No more!' cried Scrooge. 'No more! I don't wish to see it. Show me no\nmore!'\n\nBut the relentless Ghost pinioned him in both his arms, and forced him\nto observe what happened next.\n\nThey were in another scene and place; a room, not very large or\nhandsome, but full of comfort. Near to the winter fire sat a beautiful\nyoung girl, so like that last that Scrooge believed it was the same,\nuntil he saw _her_, now a comely matron, sitting opposite her daughter.\nThe noise in this room was perfectly tumultuous, for there were more\nchildren there than Scrooge in his agitated state of mind could count;\nand, unlike the celebrated herd in the poem, they were not forty\nchildren conducting themselves like one, but every child was conducting\nitself like forty. The consequences were uproarious beyond belief; but\nno one seemed to care; on the contrary, the mother and daughter laughed\nheartily, and enjoyed it very much; and the latter, soon beginning to\nmingle in the sports, got pillaged by the young brigands most\nruthlessly. What would I not have given to be one of them! Though I\nnever could have been so rude, no, no! I wouldn't for the wealth of all\nthe world have crushed that braided hair, and torn it down; and for the\nprecious little shoe, I wouldn't have plucked it off, God bless my soul!\nto save my life. As to measuring her waist in sport, as they did, bold\nyoung brood, I couldn't have done it; I should have expected my arm to\nhave grown round it for a punishment, and never come straight again. And\nyet I should have dearly liked, I own, to have touched her lips; to have\nquestioned her, that she might have opened them; to have looked upon the\nlashes of her downcast eyes, and never raised a blush; to have let loose\nwaves of hair, an inch of which would be a keepsake beyond price: in\nshort, I should have liked, I do confess, to have had the lightest\nlicense of a child, and yet to have been man enough to know its value.\n\n[Illustration: _A flushed and boisterous group_]\n\nBut now a knocking at the door was heard, and such a rush immediately\nensued that she, with laughing face and plundered dress, was borne\ntowards it the centre of a flushed and boisterous group, just in time to\ngreet the father, who came home attended by a man laden with Christmas\ntoys and presents. Then the shouting and the struggling, and the\nonslaught that was made on the defenceless porter! The scaling him, with\nchairs for ladders, to dive into his pockets, despoil him of\nbrown-paper parcels, hold on tight by his cravat, hug him round his\nneck, pummel his back, and kick his legs in irrepressible affection! The\nshouts of wonder and delight with which the development of every package\nwas received! The terrible announcement that the baby had been taken in\nthe act of putting a doll's frying pan into his mouth, and was more than\nsuspected of having swallowed a fictitious turkey, glued on a wooden\nplatter! The immense relief of finding this a false alarm! The joy, and\ngratitude, and ecstasy! They are all indescribable alike. It is enough\nthat, by degrees, the children and their emotions got out of the\nparlour, and, by one stair at a time, up to the top of the house, where\nthey went to bed, and so subsided.\n\nAnd now Scrooge looked on more attentively than ever, when the master of\nthe house, having his daughter leaning fondly on him, sat down with her\nand her mother at his own fireside; and when he thought that such\nanother creature, quite as graceful and as full of promise, might have\ncalled him father, and been a spring-time in the haggard winter of his\nlife, his sight grew very dim indeed.\n\n'Belle,' said the husband, turning to his wife with a smile, 'I saw an\nold friend of yours this afternoon.'\n\n'Who was it?'\n\n'Guess!'\n\n'How can I? Tut, don't I know?' she added in the same breath, laughing\nas he laughed. 'Mr. Scrooge.'\n\n'Mr. Scrooge it was. I passed his office window; and as it was not shut\nup, and he had a candle inside, I could scarcely help seeing him. His\npartner lies upon the point of death, I hear; and there he sat alone.\nQuite alone in the world, I do believe.'\n\n'Spirit!' said Scrooge in a broken voice, 'remove me from this place.'\n\n'I told you these were shadows of the things that have been,' said the\nGhost. 'That they are what they are do not blame me!'\n\n'Remove me!' Scrooge exclaimed, 'I cannot bear it!'\n\nHe turned upon the Ghost, and seeing that it looked upon him with a\nface, in which in some strange way there were fragments of all the faces\nit had shown him, wrestled with it.\n\n'Leave me! Take me back. Haunt me no longer!'\n\nIn the struggle, if that can be called a struggle in which the Ghost\nwith no visible resistance on its own part was undisturbed by any effort\nof its adversary, Scrooge observed that its light was burning high and\nbright; and dimly connecting that with its influence over him, he seized\nthe extinguisher-cap, and by a sudden action pressed it down upon its\nhead.\n\n[Illustration: _Laden with Christmas toys and presents_]\n\nThe Spirit dropped beneath it, so that the extinguisher covered its\nwhole form; but though Scrooge pressed it down with all his force, he\ncould not hide the light, which streamed from under it, in an unbroken\nflood upon the ground.\n\nHe was conscious of being exhausted, and overcome by an irresistible\ndrowsiness; and, further, of being in his own bedroom. He gave the cap a\nparting squeeze, in which his hand relaxed; and had barely time to reel\nto bed, before he sank into a heavy sleep.\n\n[Illustration]\n\n\nSTAVE THREE\n\n\n[Illustration]\n\n\n\n\nTHE SECOND OF THE THREE SPIRITS\n\n\nAwaking in the middle of a prodigiously tough snore, and sitting up in\nbed to get his thoughts together, Scrooge had no occasion to be told\nthat the bell was again upon the stroke of One. He felt that he was\nrestored to consciousness in the right nick of time, for the especial\npurpose of holding a conference with the second messenger despatched to\nhim through Jacob Marley's intervention. But finding that he turned\nuncomfortably cold when he began to wonder which of his curtains this\nnew spectre would draw back, he put them every one aside with his own\nhands, and, lying down again, established a sharp look-out all round the\nbed. For he wished to challenge the Spirit on the moment of its\nappearance, and did not wish to be taken by surprise and made nervous.\n\nGentlemen of the free-and-easy sort, who plume themselves on being\nacquainted with a move or two, and being usually equal to the time of\nday, express the wide range of their capacity for adventure by observing\nthat they are good for anything from pitch-and-toss to manslaughter;\nbetween which opposite extremes, no doubt, there lies a tolerably wide\nand comprehensive range of subjects. Without venturing for Scrooge quite\nas hardily as this, I don't mind calling on you to believe that he was\nready for a good broad field of strange appearances, and that nothing\nbetween a baby and a rhinoceros would have astonished him very much.\n\nNow, being prepared for almost anything, he was not by any means\nprepared for nothing; and consequently, when the bell struck One, and no\nshape appeared, he was taken with a violent fit of trembling. Five\nminutes, ten minutes, a quarter of an hour went by, yet nothing came.\nAll this time he lay upon his bed, the very core and centre of a blaze\nof ruddy light, which streamed upon it when the clock proclaimed the\nhour; and which, being only light, was more alarming than a dozen\nghosts, as he was powerless to make out what it meant, or would be at;\nand was sometimes apprehensive that he might be at that very moment an\ninteresting case of spontaneous combustion, without having the\nconsolation of knowing it. At last, however, he began to think--as you\nor I would have thought at first; for it is always the person not in the\npredicament who knows what ought to have been done in it, and would\nunquestionably have done it too--at last, I say, he began to think that\nthe source and secret of this ghostly light might be in the adjoining\nroom, from whence, on further tracing it, it seemed to shine. This idea\ntaking full possession of his mind, he got up softly, and shuffled in\nhis slippers to the door.\n\nThe moment Scrooge's hand was on the lock a strange voice called him by\nhis name, and bade him enter. He obeyed.\n\nIt was his own room. There was no doubt about that. But it had undergone\na surprising transformation. The walls and ceiling were so hung with\nliving green, that it looked a perfect grove; from every part of which\nbright gleaming berries glistened. The crisp leaves of holly, mistletoe,\nand ivy reflected back the light, as if so many little mirrors had been\nscattered there; and such a mighty blaze went roaring up the chimney as\nthat dull petrification of a hearth had never known in Scrooge's time,\nor Marley's, or for many and many a winter season gone. Heaped up on the\nfloor, to form a kind of throne, were turkeys, geese, game, poultry,\nbrawn, great joints of meat, sucking-pigs, long wreaths of sausages,\nmince-pies, plum-puddings, barrels of oysters, red-hot chestnuts,\ncherry-cheeked apples, juicy oranges, luscious pears, immense\ntwelfth-cakes, and seething bowls of punch, that made the chamber dim\nwith their delicious steam. In easy state upon this couch there sat a\njolly Giant, glorious to see; who bore a glowing torch, in shape not\nunlike Plenty's horn, and held it up, high up, to shed its light on\nScrooge as he came peeping round the door.\n\n'Come in!' exclaimed the Ghost. 'Come in! and know me better, man!'\n\nScrooge entered timidly, and hung his head before this Spirit. He was\nnot the dogged Scrooge he had been; and though the Spirit's eyes were\nclear and kind, he did not like to meet them.\n\n'I am the Ghost of Christmas Present,' said the Spirit. 'Look upon me!'\n\nScrooge reverently did so. It was clothed in one simple deep green robe,\nor mantle, bordered with white fur. This garment hung so loosely on the\nfigure, that its capacious breast was bare, as if disdaining to be\nwarded or concealed by any artifice. Its feet, observable beneath the\nample folds of the garment, were also bare; and on its head it wore no\nother covering than a holly wreath, set here and there with shining\nicicles. Its dark-brown curls were long and free; free as its genial\nface, its sparkling eye, its open hand, its cheery voice, its\nunconstrained demeanour, and its joyful air. Girded round its middle was\nan antique scabbard: but no sword was in it, and the ancient sheath was\neaten up with rust.\n\n'You have never seen the like of me before!' exclaimed the Spirit.\n\n'Never,' Scrooge made answer to it.\n\n'Have never walked forth with the younger members of my family; meaning\n(for I am very young) my elder brothers born in these later years?'\npursued the Phantom.\n\n'I don't think I have,' said Scrooge. 'I am afraid I have not. Have you\nhad many brothers, Spirit?'\n\n'More than eighteen hundred,' said the Ghost.\n\n'A tremendous family to provide for,' muttered Scrooge.\n\nThe Ghost of Christmas Present rose.\n\n'Spirit,' said Scrooge submissively, 'conduct me where you will. I went\nforth last night on compulsion, and I learned a lesson which is working\nnow. To-night if you have aught to teach me, let me profit by it.'\n\n'Touch my robe!'\n\nScrooge did as he was told, and held it fast.\n\nHolly, mistletoe, red berries, ivy, turkeys, geese, game, poultry,\nbrawn, meat, pigs, sausages, oysters, pies, puddings, fruit, and punch,\nall vanished instantly. So did the room, the fire, the ruddy glow, the\nhour of night, and they stood in the city streets on Christmas morning,\nwhere (for the weather was severe) the people made a rough, but brisk\nand not unpleasant kind of music, in scraping the snow from the pavement\nin front of their dwellings, and from the tops of their houses, whence\nit was mad delight to the boys to see it come plumping down into the\nroad below, and splitting into artificial little snowstorms.\n\nThe house-fronts looked black enough, and the windows blacker,\ncontrasting with the smooth white sheet of snow upon the roofs, and with\nthe dirtier snow upon the ground; which last deposit had been ploughed\nup in deep furrows by the heavy wheels of carts and waggons: furrows\nthat crossed and recrossed each other hundreds of times where the great\nstreets branched off; and made intricate channels, hard to trace in the\nthick yellow mud and icy water. The sky was gloomy, and the shortest\nstreets were choked up with a dingy mist, half thawed, half frozen,\nwhose heavier particles descended in a shower of sooty atoms, as if all\nthe chimneys in Great Britain had, by one consent, caught fire, and were\nblazing away to their dear heart's content. There was nothing very\ncheerful in the climate or the town, and yet was there an air of\ncheerfulness abroad that the clearest summer air and brightest summer\nsun might have endeavoured to diffuse in vain.\n\n[Illustration: THERE WAS NOTHING VERY CHEERFUL IN THE CLIMATE]\n\nFor the people who were shovelling away on the house-tops were jovial\nand full of glee; calling out to one another from the parapets, and now\nand then exchanging a facetious snowball--better-natured missile far\nthan many a wordy jest--laughing heartily if it went right, and not less\nheartily if it went wrong. The poulterers' shops were still half open,\nand the fruiterers' were radiant in their glory. There were great,\nround, pot-bellied baskets of chestnuts, shaped like the waistcoats of\njolly old gentlemen, lolling at the doors, and tumbling out into the\nstreet in their apoplectic opulence: There were ruddy, brown-faced,\nbroad-girthed Spanish onions, shining in the fatness of their growth\nlike Spanish friars, and winking from their shelves in wanton slyness at\nthe girls as they went by, and glanced demurely at the hung-up\nmistletoe. There were pears and apples clustered high in blooming\npyramids; there were bunches of grapes, made, in the shopkeepers'\nbenevolence, to dangle from conspicuous hooks that people's mouths might\nwater gratis as they passed; there were piles of filberts, mossy and\nbrown, recalling, in their fragrance, ancient walks among the woods, and\npleasant shufflings ankle deep through withered leaves; there were\nNorfolk Biffins, squab and swarthy, setting off the yellow of the\noranges and lemons, and, in the great compactness of their juicy\npersons, urgently entreating and beseeching to be carried home in paper\nbags and eaten after dinner. The very gold and silver fish, set forth\namong these choice fruits in a bowl, though members of a dull and\nstagnant-blooded race, appeared to know that there was something going\non; and, to a fish, went gasping round and round their little world in\nslow and passionless excitement.\n\nThe Grocers'! oh, the Grocers'! nearly closed, with perhaps two shutters\ndown, or one; but through those gaps such glimpses! It was not alone\nthat the scales descending on the counter made a merry sound, or that\nthe twine and roller parted company so briskly, or that the canisters\nwere rattled up and down like juggling tricks, or even that the blended\nscents of tea and coffee were so grateful to the nose, or even that the\nraisins were so plentiful and rare, the almonds so extremely white, the\nsticks of cinnamon so long and straight, the other spices so delicious,\nthe candied fruits so caked and spotted with molten sugar as to make the\ncoldest lookers-on feel faint, and subsequently bilious. Nor was it that\nthe figs were moist and pulpy, or that the French plums blushed in\nmodest tartness from their highly-decorated boxes, or that everything\nwas good to eat and in its Christmas dress; but the customers were all\nso hurried and so eager in the hopeful promise of the day, that they\ntumbled up against each other at the door, crashing their wicker baskets\nwildly, and left their purchases upon the counter, and came running\nback to fetch them, and committed hundreds of the like mistakes, in the\nbest humour possible; while the grocer and his people were so frank and\nfresh, that the polished hearts with which they fastened their aprons\nbehind might have been their own, worn outside for general inspection,\nand for Christmas daws to peck at if they chose.\n\nBut soon the steeples called good people all to church and chapel, and\naway they came, flocking through the streets in their best clothes and\nwith their gayest faces. And at the same time there emerged, from scores\nof by-streets, lanes, and nameless turnings, innumerable people,\ncarrying their dinners to the bakers' shops. The sight of these poor\nrevellers appeared to interest the Spirit very much, for he stood with\nScrooge beside him in a baker's doorway, and, taking off the covers as\ntheir bearers passed, sprinkled incense on their dinners from his torch.\nAnd it was a very uncommon kind of torch, for once or twice, when there\nwere angry words between some dinner-carriers who had jostled each\nother, he shed a few drops of water on them from it, and their\ngood-humour was restored directly. For they said, it was a shame to\nquarrel upon Christmas Day. And so it was! God love it, so it was!\n\nIn time the bells ceased, and the bakers were shut up; and yet there was\na genial shadowing forth of all these dinners, and the progress of their\ncooking, in the thawed blotch of wet above each baker's oven, where the\npavement smoked as if its stones were cooking too.\n\n'Is there a peculiar flavour in what you sprinkle from your torch?'\nasked Scrooge.\n\n'There is. My own.'\n\n'Would it apply to any kind of dinner on this day?' asked Scrooge.\n\n'To any kindly given. To a poor one most.'\n\n'Why to a poor one most?' asked Scrooge.\n\n'Because it needs it most.'\n\n'Spirit!' said Scrooge, after a moment's thought, 'I wonder you, of all\nthe beings in the many worlds about us, should desire to cramp these\npeople's opportunities of innocent enjoyment.\n\n'I!' cried the Spirit.\n\n'You would deprive them of their means of dining every seventh day,\noften the only day on which they can be said to dine at all,' said\nScrooge; 'wouldn't you?'\n\n'I!' cried the Spirit.\n\n'You seek to close these places on the Seventh Day,' said Scrooge. 'And\nit comes to the same thing.'\n\n'I seek!' exclaimed the Spirit.\n\n'Forgive me if I am wrong. It has been done in your name, or at least in\nthat of your family,' said Scrooge.\n\n'There are some upon this earth of yours,' returned the Spirit, 'who\nlay claim to know us, and who do their deeds of passion, pride,\nill-will, hatred, envy, bigotry, and selfishness in our name, who are as\nstrange to us, and all our kith and kin, as if they had never lived.\nRemember that, and charge their doings on themselves, not us.'\n\nScrooge promised that he would; and they went on, invisible, as they had\nbeen before, into the suburbs of the town. It was a remarkable quality\nof the Ghost (which Scrooge had observed at the baker's), that\nnotwithstanding his gigantic size, he could accommodate himself to any\nplace with ease; and that he stood beneath a low roof quite as\ngracefully and like a supernatural creature as it was possible he could\nhave done in any lofty hall.\n\nAnd perhaps it was the pleasure the good Spirit had in showing off this\npower of his, or else it was his own kind, generous, hearty nature, and\nhis sympathy with all poor men, that led him straight to Scrooge's\nclerk's; for there he went, and took Scrooge with him, holding to his\nrobe; and on the threshold of the door the Spirit smiled, and stopped to\nbless Bob Cratchit's dwelling with the sprinklings of his torch. Think\nof that! Bob had but fifteen 'Bob' a week himself; he pocketed on\nSaturdays but fifteen copies of his Christian name; and yet the Ghost of\nChristmas Present blessed his four-roomed house!\n\nThen up rose Mrs. Cratchit, Cratchit's wife, dressed out but poorly in a\ntwice-turned gown, but brave in ribbons, which are cheap, and make a\ngoodly show for sixpence; and she laid the cloth, assisted by Belinda\nCratchit, second of her daughters, also brave in ribbons; while Master\nPeter Cratchit plunged a fork into the saucepan of potatoes, and getting\nthe corners of his monstrous shirt-collar (Bob's private property,\nconferred upon his son and heir in honour of the day,) into his mouth,\nrejoiced to find himself so gallantly attired, and yearned to show his\nlinen in the fashionable Parks. And now two smaller Cratchits, boy and\ngirl, came tearing in, screaming that outside the baker's they had smelt\nthe goose, and known it for their own; and basking in luxurious thoughts\nof sage and onion, these young Cratchits danced about the table, and\nexalted Master Peter Cratchit to the skies, while he (not proud,\nalthough his collars nearly choked him) blew the fire, until the slow\npotatoes, bubbling up, knocked loudly at the saucepan-lid to be let out\nand peeled.\n\n'What has ever got your precious father, then?' said Mrs. Cratchit. 'And\nyour brother, Tiny Tim? And Martha warn't as late last Christmas Day by\nhalf an hour!'\n\n'Here's Martha, mother!' said a girl, appearing as she spoke.\n\n'Here's Martha, mother!' cried the two young Cratchits. 'Hurrah! There's\n_such_ a goose, Martha!'\n\n'Why, bless your heart alive, my dear, how late you are!' said Mrs.\nCratchit, kissing her a dozen times, and taking off her shawl and bonnet\nfor her with officious zeal.\n\n'We'd a deal of work to finish up last night,' replied the girl, 'and\nhad to clear away this morning, mother!'\n\n'Well! never mind so long as you are come,' said Mrs. Cratchit. 'Sit ye\ndown before the fire, my dear, and have a warm, Lord bless ye!'\n\n'No, no! There's father coming,' cried the two young Cratchits, who were\neverywhere at once. 'Hide, Martha, hide!'\n\nSo Martha hid herself, and in came little Bob, the father, with at least\nthree feet of comforter, exclusive of the fringe, hanging down before\nhim, and his threadbare clothes darned up and brushed to look\nseasonable, and Tiny Tim upon his shoulder. Alas for Tiny Tim, he bore a\nlittle crutch, and had his limbs supported by an iron frame!\n\n'Why, where's our Martha?' cried Bob Cratchit, looking round.\n\n'Not coming,' said Mrs. Cratchit.\n\n'Not coming!' said Bob, with a sudden declension in his high spirits;\nfor he had been Tim's blood-horse all the way from church, and had come\nhome rampant. 'Not coming upon Christmas Day!'\n\nMartha didn't like to see him disappointed, if it were only in joke; so\nshe came out prematurely from behind the closet door, and ran into his\narms, while the two young Cratchits hustled Tiny Tim, and bore him off\ninto the wash-house, that he might hear the pudding singing in the\ncopper.\n\n'And how did little Tim behave?' asked Mrs. Cratchit when she had\nrallied Bob on his credulity, and Bob had hugged his daughter to his\nheart's content.\n\n'As good as gold,' said Bob, 'and better. Somehow, he gets thoughtful,\nsitting by himself so much, and thinks the strangest things you ever\nheard. He told me, coming home, that he hoped the people saw him in the\nchurch, because he was a cripple, and it might be pleasant to them to\nremember upon Christmas Day who made lame beggars walk and blind men\nsee.'\n\nBob's voice was tremulous when he told them this, and trembled more when\nhe said that Tiny Tim was growing strong and hearty.\n\nHis active little crutch was heard upon the floor, and back came Tiny\nTim before another word was spoken, escorted by his brother and\nsister to his stool beside the fire; and while Bob, turning up his\ncuffs--as if, poor fellow, they were capable of being made more\nshabby--compounded some hot mixture in a jug with gin and lemons, and\nstirred it round and round, and put it on the hob to simmer, Master\nPeter and the two ubiquitous young Cratchits went to fetch the goose,\nwith which they soon returned in high procession.\n\n[Illustration]\n\nSuch a bustle ensued that you might have thought a goose the rarest of\nall birds; a feathered phenomenon, to which a black swan was a matter of\ncourse--and, in truth, it was something very like it in that house. Mrs.\nCratchit made the gravy (ready beforehand in a little saucepan) hissing\nhot; Master Peter mashed the potatoes with incredible vigour; Miss\nBelinda sweetened up the apple sauce; Martha dusted the hot plates; Bob\ntook Tiny Tim beside him in a tiny corner at the table; the two young\nCratchits set chairs for everybody, not forgetting themselves, and,\nmounting guard upon their posts, crammed spoons into their mouths, lest\nthey should shriek for goose before their turn came to be helped. At\nlast the dishes were set on, and grace was said. It was succeeded by a\nbreathless pause, as Mrs. Cratchit, looking slowly all along the\ncarving-knife, prepared to plunge it in the breast; but when she did,\nand when the long-expected gush of stuffing issued forth, one murmur of\ndelight arose all round the board, and even Tiny Tim, excited by the two\nyoung Cratchits, beat on the table with the handle of his knife and\nfeebly cried Hurrah!\n\n[Illustration: HE HAD BEEN TIM'S BLOOD-HORSE ALL THE WAY FROM CHURCH]\n\nThere never was such a goose. Bob said he didn't believe there ever was\nsuch a goose cooked. Its tenderness and flavour, size and cheapness,\nwere the themes of universal admiration. Eked out by apple sauce and\nmashed potatoes, it was a sufficient dinner for the whole family;\nindeed, as Mrs. Cratchit said with great delight (surveying one small\natom of a bone upon the dish), they hadn't ate it all at last! Yet every\none had had enough, and the youngest Cratchits, in particular, were\nsteeped in sage and onion to the eyebrows! But now, the plates being\nchanged by Miss Belinda, Mrs. Cratchit left the room alone--too nervous\nto bear witnesses--to take the pudding up, and bring it in.\n\nSuppose it should not be done enough! Suppose it should break in turning\nout! Suppose somebody should have got over the wall of the back-yard and\nstolen it, while they were merry with the goose--a supposition at which\nthe two young Cratchits became livid! All sorts of horrors were\nsupposed.\n\nHallo! A great deal of steam! The pudding was out of the copper. A smell\nlike a washing-day! That was the cloth. A smell like an eating-house and\na pastry-cook's next door to each other, with a laundress's next door to\nthat! That was the pudding! In half a minute Mrs. Cratchit\nentered--flushed, but smiling proudly--with the pudding, like a speckled\ncannon-ball, so hard and firm, blazing in half of half-a-quartern of\nignited brandy, and bedight with Christmas holly stuck into the top.\n\nOh, a wonderful pudding! Bob Cratchit said, and calmly too, that he\nregarded it as the greatest success achieved by Mrs. Cratchit since\ntheir marriage. Mrs. Cratchit said that, now the weight was off her\nmind, she would confess she had her doubts about the quantity of flour.\nEverybody had something to say about it, but nobody said or thought it\nwas at all a small pudding for a large family. It would have been flat\nheresy to do so. Any Cratchit would have blushed to hint at such a\nthing.\n\n[Illustration: WITH THE PUDDING]\n\nAt last the dinner was all done, the cloth was cleared, the hearth\nswept, and the fire made up. The compound in the jug being tasted and\nconsidered perfect, apples and oranges were put upon the table, and a\nshovel full of chestnuts on the fire. Then all the Cratchit family\ndrew round the hearth in what Bob Cratchit called a circle, meaning half\na one; and at Bob Cratchit's elbow stood the family display of glass.\nTwo tumblers and a custard cup without a handle.\n\nThese held the hot stuff from the jug, however, as well as golden\ngoblets would have done; and Bob served it out with beaming looks, while\nthe chestnuts on the fire sputtered and cracked noisily. Then Bob\nproposed:\n\n'A merry Christmas to us all, my dears. God bless us!'\n\nWhich all the family re-echoed.\n\n'God bless us every one!' said Tiny Tim, the last of all.\n\nHe sat very close to his father's side, upon his little stool. Bob held\nhis withered little hand to his, as if he loved the child, and wished to\nkeep him by his side, and dreaded that he might be taken from him.\n\n'Spirit,' said Scrooge, with an interest he had never felt before, 'tell\nme if Tiny Tim will live.'\n\n'I see a vacant seat,' replied the Ghost, 'in the poor chimney corner,\nand a crutch without an owner, carefully preserved. If these shadows\nremain unaltered by the Future, the child will die.'\n\n'No, no,' said Scrooge. 'Oh no, kind Spirit! say he will be spared.'\n\n'If these shadows remain unaltered by the Future none other of my race,'\nreturned the Ghost, 'will find him here. What then? If he be like to\ndie, he had better do it, and decrease the surplus population.'\n\nScrooge hung his head to hear his own words quoted by the Spirit, and\nwas overcome with penitence and grief.\n\n'Man,' said the Ghost, 'if man you be in heart, not adamant, forbear\nthat wicked cant until you have discovered what the surplus is, and\nwhere it is. Will you decide what men shall live, what men shall die? It\nmay be that, in the sight of Heaven, you are more worthless and less fit\nto live than millions like this poor man's child. O God! to hear the\ninsect on the leaf pronouncing on the too much life among his hungry\nbrothers in the dust!'\n\nScrooge bent before the Ghost's rebuke, and, trembling, cast his eyes\nupon the ground. But he raised them speedily on hearing his own name.\n\n'Mr. Scrooge!' said Bob. 'I'll give you Mr. Scrooge, the Founder of the\nFeast!'\n\n'The Founder of the Feast, indeed!' cried Mrs. Cratchit, reddening. 'I\nwish I had him here. I'd give him a piece of my mind to feast upon, and\nI hope he'd have a good appetite for it.'\n\n'My dear,' said Bob, 'the children! Christmas Day.'\n\n'It should be Christmas Day, I am sure,' said she, 'on which one drinks\nthe health of such an odious, stingy, hard, unfeeling man as Mr.\nScrooge. You know he is, Robert! Nobody knows it better than you do,\npoor fellow!'\n\n'My dear!' was Bob's mild answer. 'Christmas Day.'\n\n'I'll drink his health for your sake and the Day's,' said Mrs. Cratchit,\n'not for his. Long life to him! A merry Christmas and a happy New Year!\nHe'll be very merry and very happy, I have no doubt!'\n\nThe children drank the toast after her. It was the first of their\nproceedings which had no heartiness in it. Tiny Tim drank it last of\nall, but he didn't care twopence for it. Scrooge was the Ogre of the\nfamily. The mention of his name cast a dark shadow on the party, which\nwas not dispelled for full five minutes.\n\nAfter it had passed away they were ten times merrier than before, from\nthe mere relief of Scrooge the Baleful being done with. Bob Cratchit\ntold them how he had a situation in his eye for Master Peter, which\nwould bring in, if obtained, full five-and-sixpence weekly. The two\nyoung Cratchits laughed tremendously at the idea of Peter's being a man\nof business; and Peter himself looked thoughtfully at the fire from\nbetween his collars, as if he were deliberating what particular\ninvestments he should favour when he came into the receipt of that\nbewildering income. Martha, who was a poor apprentice at a milliner's,\nthen told them what kind of work she had to do, and how many hours she\nworked at a stretch and how she meant to lie abed to-morrow morning for\na good long rest; to-morrow being a holiday she passed at home. Also how\nshe had seen a countess and a lord some days before, and how the lord\n'was much about as tall as Peter'; at which Peter pulled up his collar\nso high that you couldn't have seen his head if you had been there. All\nthis time the chestnuts and the jug went round and round; and by-and-by\nthey had a song, about a lost child travelling in the snow, from Tiny\nTim, who had a plaintive little voice, and sang it very well indeed.\n\nThere was nothing of high mark in this. They were not a handsome family;\nthey were not well dressed; their shoes were far from being waterproof;\ntheir clothes were scanty; and Peter might have known, and very likely\ndid, the inside of a pawnbroker's. But they were happy, grateful,\npleased with one another, and contented with the time; and when they\nfaded, and looked happier yet in the bright sprinklings of the Spirit's\ntorch at parting, Scrooge had his eye upon them, and especially on Tiny\nTim, until the last.\n\nBy this time it was getting dark, and snowing pretty heavily; and as\nScrooge and the Spirit went along the streets, the brightness of the\nroaring fires in kitchens, parlours, and all sorts of rooms was\nwonderful. Here, the flickering of the blaze showed preparations for a\ncosy dinner, with hot plates baking through and through before the fire,\nand deep red curtains, ready to be drawn to shut out cold and darkness.\nThere, all the children of the house were running out into the snow to\nmeet their married sisters, brothers, cousins, uncles, aunts, and be the\nfirst to greet them. Here, again, were shadows on the window-blinds of\nguests assembling; and there a group of handsome girls, all hooded and\nfur-booted, and all chattering at once, tripped lightly off to some near\nneighbour's house; where, woe upon the single man who saw them\nenter--artful witches, well they knew it--in a glow!\n\nBut, if you had judged from the numbers of people on their way to\nfriendly gatherings, you might have thought that no one was at home to\ngive them welcome when they got there, instead of every house expecting\ncompany, and piling up its fires half-chimney high. Blessings on it, how\nthe Ghost exulted! How it bared its breadth of breast, and opened its\ncapacious palm, and floated on, outpouring with a generous hand its\nbright and harmless mirth on everything within its reach! The very\nlamplighter, who ran on before, dotting the dusky street with specks of\nlight, and who was dressed to spend the evening somewhere, laughed out\nloudly as the Spirit passed, though little kenned the lamplighter that\nhe had any company but Christmas.\n\nAnd now, without a word of warning from the Ghost, they stood upon a\nbleak and desert moor, where monstrous masses of rude stone were cast\nabout, as though it were the burial-place of giants; and water spread\nitself wheresoever it listed; or would have done so, but for the frost\nthat held it prisoner; and nothing grew but moss and furze, and coarse,\nrank grass. Down in the west the setting sun had left a streak of fiery\nred, which glared upon the desolation for an instant, like a sullen eye,\nand frowning lower, lower, lower yet, was lost in the thick gloom of\ndarkest night.\n\n'What place is this?' asked Scrooge.\n\n'A place where miners live, who labour in the bowels of the earth,'\nreturned the Spirit. 'But they know me. See!'\n\nA light shone from the window of a hut, and swiftly they advanced\ntowards it. Passing through the wall of mud and stone, they found a\ncheerful company assembled round a glowing fire. An old, old man and\nwoman, with their children and their children's children, and another\ngeneration beyond that, all decked out gaily in their holiday attire.\nThe old man, in a voice that seldom rose above the howling of the wind\nupon the barren waste, was singing them a Christmas song; it had been a\nvery old song when he was a boy; and from time to time they all joined\nin the chorus. So surely as they raised their voices, the old man got\nquite blithe and loud; and so surely as they stopped, his vigour sank\nagain.\n\nThe Spirit did not tarry here, but bade Scrooge hold his robe, and,\npassing on above the moor, sped whither? Not to sea? To sea. To\nScrooge's horror, looking back, he saw the last of the land, a frightful\nrange of rocks, behind them; and his ears were deafened by the\nthundering of water, as it rolled and roared, and raged among the\ndreadful caverns it had worn, and fiercely tried to undermine the earth.\n\nBuilt upon a dismal reef of sunken rocks, some league or so from shore,\non which the waters chafed and dashed, the wild year through, there\nstood a solitary lighthouse. Great heaps of seaweed clung to its base,\nand storm-birds--born of the wind, one might suppose, as seaweed of the\nwater--rose and fell about it, like the waves they skimmed.\n\nBut, even here, two men who watched the light had made a fire, that\nthrough the loophole in the thick stone wall shed out a ray of\nbrightness on the awful sea. Joining their horny hands over the rough\ntable at which they sat, they wished each other Merry Christmas in their\ncan of grog; and one of them--the elder too, with his face all damaged\nand scarred with hard weather, as the figure-head of an old ship might\nbe--struck up a sturdy song that was like a gale in itself.\n\nAgain the Ghost sped on, above the black and heaving sea--on, on--until\nbeing far away, as he told Scrooge, from any shore, they lighted on a\nship. They stood beside the helmsman at the wheel, the look-out in the\nbow, the officers who had the watch; dark, ghostly figures in their\nseveral stations; but every man among them hummed a Christmas tune, or\nhad a Christmas thought, or spoke below his breath to his companion of\nsome bygone Christmas Day, with homeward hopes belonging to it. And\nevery man on board, waking or sleeping, good or bad, had had a kinder\nword for one another on that day than on any day in the year; and had\nshared to some extent in its festivities; and had remembered those he\ncared for at a distance, and had known that they delighted to remember\nhim.\n\nIt was a great surprise to Scrooge, while listening to the moaning of\nthe wind, and thinking what a solemn thing it was to move on through the\nlonely darkness over an unknown abyss, whose depths were secrets as\nprofound as death: it was a great surprise to Scrooge, while thus\nengaged, to hear a hearty laugh. It was a much greater surprise to\nScrooge to recognise it as his own nephew's and to find himself in a\nbright, dry, gleaming room, with the Spirit standing smiling by his\nside, and looking at that same nephew with approving affability!\n\n'Ha, ha!' laughed Scrooge's nephew. 'Ha, ha, ha!'\n\nIf you should happen, by any unlikely chance, to know a man more blessed\nin a laugh than Scrooge's nephew, all I can say is, I should like to\nknow him too. Introduce him to me, and I'll cultivate his acquaintance.\n\nIt is a fair, even-handed, noble adjustment of things, that while there\nis infection in disease and sorrow, there is nothing in the world so\nirresistibly contagious as laughter and good-humour. When Scrooge's\nnephew laughed in this way--holding his sides, rolling his head, and\ntwisting his face into the most extravagant contortions--Scrooge's\nniece, by marriage, laughed as heartily as he. And their assembled\nfriends, being not a bit behindhand, roared out lustily.\n\n'Ha, ha! Ha, ha, ha, ha!'\n\n'He said that Christmas was a humbug, as I live!' cried Scrooge's\nnephew. 'He believed it, too!'\n\n'More shame for him, Fred!' said Scrooge's niece indignantly. Bless\nthose women! they never do anything by halves. They are always in\nearnest.\n\nShe was very pretty; exceedingly pretty. With a dimpled,\nsurprised-looking, capital face; a ripe little mouth, that seemed made\nto be kissed--as no doubt it was; all kinds of good little dots about\nher chin, that melted into one another when she laughed; and the\nsunniest pair of eyes you ever saw in any little creature's head.\nAltogether she was what you would have called provoking, you know; but\nsatisfactory, too. Oh, perfectly satisfactory!\n\n'He's a comical old fellow,' said Scrooge's nephew, 'that's the truth;\nand not so pleasant as he might be. However, his offences carry their\nown punishment, and I have nothing to say against him.'\n\n'I'm sure he is very rich, Fred,' hinted Scrooge's niece. 'At least, you\nalways tell _me_ so.'\n\n'What of that, my dear?' said Scrooge's nephew. 'His wealth is of no use\nto him. He don't do any good with it. He don't make himself comfortable\nwith it. He hasn't the satisfaction of thinking--ha, ha, ha!--that he is\never going to benefit Us with it.'\n\n'I have no patience with him,' observed Scrooge's niece. Scrooge's\nniece's sisters, and all the other ladies, expressed the same opinion.\n\n'Oh, I have!' said Scrooge's nephew. 'I am sorry for him; I couldn't be\nangry with him if I tried. Who suffers by his ill whims? Himself always.\nHere he takes it into his head to dislike us, and he won't come and dine\nwith us. What's the consequence? He don't lose much of a dinner.'\n\n'Indeed, I think he loses a very good dinner,' interrupted Scrooge's\nniece. Everybody else said the same, and they must be allowed to have\nbeen competent judges, because they had just had dinner; and with the\ndessert upon the table, were clustered round the fire, by lamplight.\n\n'Well! I am very glad to hear it,' said Scrooge's nephew, 'because I\nhaven't any great faith in these young housekeepers. What do _you_ say,\nTopper?'\n\nTopper had clearly got his eye upon one of Scrooge's niece's sisters,\nfor he answered that a bachelor was a wretched outcast, who had no right\nto express an opinion on the subject. Whereat Scrooge's niece's\nsister--the plump one with the lace tucker: not the one with the\nroses--blushed.\n\n'Do go on, Fred,' said Scrooge's niece, clapping her hands. 'He never\nfinishes what he begins to say! He is such a ridiculous fellow!'\n\nScrooge's nephew revelled in another laugh, and as it was impossible to\nkeep the infection off, though the plump sister tried hard to do it with\naromatic vinegar, his example was unanimously followed.\n\n'I was only going to say,' said Scrooge's nephew, 'that the consequence\nof his taking a dislike to us, and not making merry with us, is, as I\nthink, that he loses some pleasant moments, which could do him no harm.\nI am sure he loses pleasanter companions than he can find in his own\nthoughts, either in his mouldy old office or his dusty chambers. I mean\nto give him the same chance every year, whether he likes it or not, for\nI pity him. He may rail at Christmas till he dies, but he can't help\nthinking better of it--I defy him--if he finds me going there, in good\ntemper, year after year, and saying, \"Uncle Scrooge, how are you?\" If it\nonly put him in the vein to leave his poor clerk fifty pounds, _that's_\nsomething; and I think I shook him yesterday.'\n\nIt was their turn to laugh now, at the notion of his shaking Scrooge.\nBut being thoroughly good-natured, and not much caring what they laughed\nat, so that they laughed at any rate, he encouraged them in their\nmerriment, and passed the bottle, joyously.\n\nAfter tea they had some music. For they were a musical family, and knew\nwhat they were about when they sung a Glee or Catch, I can assure you:\nespecially Topper, who could growl away in the bass like a good one, and\nnever swell the large veins in his forehead, or get red in the face over\nit. Scrooge's niece played well upon the harp; and played, among other\ntunes, a simple little air (a mere nothing: you might learn to whistle\nit in two minutes) which had been familiar to the child who fetched\nScrooge from the boarding-school, as he had been reminded by the Ghost\nof Christmas Past. When this strain of music sounded, all the things\nthat Ghost had shown him came upon his mind; he softened more and more;\nand thought that if he could have listened to it often, years ago, he\nmight have cultivated the kindnesses of life for his own happiness with\nhis own hands, without resorting to the sexton's spade that buried Jacob\nMarley.\n\n[Illustration: _The way he went after that plump sister in the lace\ntucker!_]\n\nBut they didn't devote the whole evening to music. After a while they\nplayed at forfeits; for it is good to be children sometimes, and never\nbetter than at Christmas, when its mighty Founder was a child himself.\nStop! There was first a game at blind man's-buff. Of course there was.\nAnd I no more believe Topper was really blind than I believe he had eyes\nin his boots. My opinion is, that it was a done thing between him and\nScrooge's nephew; and that the Ghost of Christmas Present knew it. The\nway he went after that plump sister in the lace tucker was an outrage on\nthe credulity of human nature. Knocking down the fire-irons, tumbling\nover the chairs, bumping up against the piano, smothering himself\namongst the curtains, wherever she went, there went he! He always knew\nwhere the plump sister was. He wouldn't catch anybody else. If you had\nfallen up against him (as some of them did) on purpose, he would have\nmade a feint of endeavouring to seize you, which would have been an\naffront to your understanding, and would instantly have sidled off in\nthe direction of the plump sister. She often cried out that it wasn't\nfair; and it really was not. But when, at last, he caught her; when, in\nspite of all her silken rustlings, and her rapid flutterings past him,\nhe got her into a corner whence there was no escape; then his conduct\nwas the most execrable. For his pretending not to know her; his\npretending that it was necessary to touch her head-dress, and further to\nassure himself of her identity by pressing a certain ring upon her\nfinger, and a certain chain about her neck; was vile, monstrous! No\ndoubt she told him her opinion of it when, another blind man being in\noffice, they were so very confidential together behind the curtains.\n\nScrooge's niece was not one of the blind man's-buff party, but was made\ncomfortable with a large chair and a footstool, in a snug corner where\nthe Ghost and Scrooge were close behind her. But she joined in the\nforfeits, and loved her love to admiration with all the letters of the\nalphabet. Likewise at the game of How, When, and Where, she was very\ngreat, and, to the secret joy of Scrooge's nephew, beat her sisters\nhollow; though they were sharp girls too, as Topper could have told you.\nThere might have been twenty people there, young and old, but they all\nplayed, and so did Scrooge; for wholly forgetting, in the interest he\nhad in what was going on, that his voice made no sound in their ears, he\nsometimes came out with his guess quite loud, and very often guessed\nright, too; for the sharpest needle, best Whitechapel, warranted not to\ncut in the eye, was not sharper than Scrooge, blunt as he took it in\nhis head to be.\n\nThe Ghost was greatly pleased to find him in this mood, and looked upon\nhim with such favour that he begged like a boy to be allowed to stay\nuntil the guests departed. But this the Spirit said could not be done.\n\n'Here is a new game,' said Scrooge. 'One half-hour, Spirit, only one!'\n\nIt was a game called Yes and No, where Scrooge's nephew had to think of\nsomething, and the rest must find out what, he only answering to their\nquestions yes or no, as the case was. The brisk fire of questioning to\nwhich he was exposed elicited from him that he was thinking of an\nanimal, a live animal, rather a disagreeable animal, a savage animal, an\nanimal that growled and grunted sometimes, and talked sometimes and\nlived in London, and walked about the streets, and wasn't made a show\nof, and wasn't led by anybody, and didn't live in a menagerie, and was\nnever killed in a market, and was not a horse, or an ass, or a cow, or a\nbull, or a tiger, or a dog, or a pig, or a cat, or a bear. At every\nfresh question that was put to him, this nephew burst into a fresh roar\nof laughter; and was so inexpressibly tickled, that he was obliged to\nget up off the sofa and stamp. At last the plump sister, falling into a\nsimilar state, cried out:\n\n'I have found it out! I know what it is, Fred! I know what it is!'\n\n'What is it?' cried Fred.\n\n'It's your uncle Scro-o-o-o-oge.'\n\nWhich it certainly was. Admiration was the universal sentiment, though\nsome objected that the reply to 'Is it a bear?' ought to have been\n'Yes'; inasmuch as an answer in the negative was sufficient to have\ndiverted their thoughts from Mr. Scrooge, supposing they had ever had\nany tendency that way.\n\n'He has given us plenty of merriment, I am sure,' said Fred, 'and it\nwould be ungrateful not to drink his health. Here is a glass of mulled\nwine ready to our hand at the moment; and I say, \"Uncle Scrooge!\"'\n\n'Well! Uncle Scrooge!' they cried.\n\n'A merry Christmas and a happy New Year to the old man, whatever he is!'\nsaid Scrooge's nephew. 'He wouldn't take it from me, but may he have it,\nnevertheless. Uncle Scrooge!'\n\nUncle Scrooge had imperceptibly become so gay and light of heart, that\nhe would have pledged the unconscious company in return, and thanked\nthem in an inaudible speech, if the Ghost had given him time. But the\nwhole scene passed off in the breath of the last word spoken by his\nnephew; and he and the Spirit were again upon their travels.\n\nMuch they saw, and far they went, and many homes they visited, but\nalways with a happy end. The Spirit stood beside sick-beds, and they\nwere cheerful; on foreign lands, and they were close at home; by\nstruggling men, and they were patient in their greater hope; by poverty,\nand it was rich. In almshouse, hospital, and gaol, in misery's every\nrefuge, where vain man in his little brief authority had not made fast\nthe door, and barred the Spirit out, he left his blessing and taught\nScrooge his precepts.\n\nIt was a long night, if it were only a night; but Scrooge had his doubts\nof this, because the Christmas holidays appeared to be condensed into\nthe space of time they passed together. It was strange, too, that, while\nScrooge remained unaltered in his outward form, the Ghost grew older,\nclearly older. Scrooge had observed this change, but never spoke of it\nuntil they left a children's Twelfth-Night party, when, looking at the\nSpirit as they stood together in an open place, he noticed that its hair\nwas grey.\n\n'Are spirits' lives so short?' asked Scrooge.\n\n'My life upon this globe is very brief,' replied the Ghost. 'It ends\nto-night.'\n\n'To-night!' cried Scrooge.\n\n'To-night at midnight. Hark! The time is drawing near.'\n\nThe chimes were ringing the three-quarters past eleven at that moment.\n\n'Forgive me if I am not justified in what I ask,' said Scrooge, looking\nintently at the Spirit's robe, 'but I see something strange, and not\nbelonging to yourself, protruding from your skirts. Is it a foot or a\nclaw?'\n\n'It might be a claw, for the flesh there is upon it,' was the Spirit's\nsorrowful reply. 'Look here!'\n\nFrom the foldings of its robe it brought two children, wretched, abject,\nfrightful, hideous, miserable. They knelt down at its feet, and clung\nupon the outside of its garment.\n\n'O Man! look here! Look, look down here!' exclaimed the Ghost.\n\nThey were a boy and girl. Yellow, meagre, ragged, scowling, wolfish, but\nprostrate, too, in their humility. Where graceful youth should have\nfilled their features out, and touched them with its freshest tints, a\nstale and shrivelled hand, like that of age, had pinched and twisted\nthem, and pulled them into shreds. Where angels might have sat\nenthroned, devils lurked, and glared out menacing. No change, no\ndegradation, no perversion of humanity in any grade, through all the\nmysteries of wonderful creation, has monsters half so horrible and\ndread.\n\nScrooge started back, appalled. Having them shown to him in this way, he\ntried to say they were fine children, but the words choked themselves,\nrather than be parties to a lie of such enormous magnitude.\n\n'Spirit! are they yours?' Scrooge could say no more.\n\n'They are Man's,' said the Spirit, looking down upon them. 'And they\ncling to me, appealing from their fathers. This boy is Ignorance. This\ngirl is Want. Beware of them both, and all of their degree, but most of\nall beware this boy, for on his brow I see that written which is Doom,\nunless the writing be erased. Deny it!' cried the Spirit, stretching out\nhis hand towards the city. 'Slander those who tell it ye! Admit it for\nyour factious purposes, and make it worse! And bide the end!'\n\n'Have they no refuge or resource?' cried Scrooge.\n\n'Are there no prisons?' said the Spirit, turning on him for the last\ntime with his own words. 'Are there no workhouses?'\n\nThe bell struck Twelve.\n\nScrooge looked about him for the Ghost, and saw it not. As the last\nstroke ceased to vibrate, he remembered the prediction of old Jacob\nMarley, and, lifting up his eyes, beheld a solemn Phantom, draped and\nhooded, coming like a mist along the ground towards him.\n\n\nSTAVE FOUR\n\n\n\n\nTHE LAST OF THE SPIRITS\n\n\nThe Phantom slowly, gravely, silently approached. When it came near him,\nScrooge bent down upon his knee; for in the very air through which this\nSpirit moved it seemed to scatter gloom and mystery.\n\nIt was shrouded in a deep black garment, which concealed its head, its\nface, its form, and left nothing of it visible, save one outstretched\nhand. But for this, it would have been difficult to detach its figure\nfrom the night, and separate it from the darkness by which it was\nsurrounded.\n\nHe felt that it was tall and stately when it came beside him, and that\nits mysterious presence filled him with a solemn dread. He knew no more,\nfor the Spirit neither spoke nor moved.\n\n'I am in the presence of the Ghost of Christmas Yet to Come?' said\nScrooge.\n\nThe Spirit answered not, but pointed onward with its hand.\n\n'You are about to show me shadows of the things that have not happened,\nbut will happen in the time before us,' Scrooge pursued. 'Is that so,\nSpirit?'\n\nThe upper portion of the garment was contracted for an instant in its\nfolds, as if the Spirit had inclined its head. That was the only answer\nhe received.\n\nAlthough well used to ghostly company by this time, Scrooge feared the\nsilent shape so much that his legs trembled beneath him, and he found\nthat he could hardly stand when he prepared to follow it. The Spirit\npaused a moment, as observing his condition, and giving him time to\nrecover.\n\nBut Scrooge was all the worse for this. It thrilled him with a vague,\nuncertain horror to know that, behind the dusky shroud, there were\nghostly eyes intently fixed upon him, while he, though he stretched his\nown to the utmost, could see nothing but a spectral hand and one great\nheap of black.\n\n'Ghost of the Future!' he exclaimed, 'I fear you more than any spectre\nI have seen. But as I know your purpose is to do me good, and as I hope\nto live to be another man from what I was, I am prepared to bear your\ncompany, and do it with a thankful heart. Will you not speak to me?'\n\nIt gave him no reply. The hand was pointed straight before them.\n\n'Lead on!' said Scrooge. 'Lead on! The night is waning fast, and it is\nprecious time to me, I know. Lead on, Spirit!'\n\nThe Phantom moved away as it had come towards him. Scrooge followed in\nthe shadow of its dress, which bore him up, he thought, and carried him\nalong.\n\nThey scarcely seemed to enter the City; for the City rather seemed to\nspring up about them, and encompass them of its own act. But there they\nwere in the heart of it; on 'Change, amongst the merchants, who hurried\nup and down, and chinked the money in their pockets, and conversed in\ngroups, and looked at their watches, and trifled thoughtfully with their\ngreat gold seals, and so forth, as Scrooge had seen them often.\n\nThe Spirit stopped beside one little knot of business men. Observing\nthat the hand was pointed to them, Scrooge advanced to listen to their\ntalk.\n\n'No,' said a great fat man with a monstrous chin, 'I don't know much\nabout it either way. I only know he's dead.'\n\n'When did he die?' inquired another.\n\n'Last night, I believe.'\n\n'Why, what was the matter with him?' asked a third, taking a vast\nquantity of snuff out of a very large snuff-box. 'I thought he'd never\ndie.'\n\n'God knows,' said the first, with a yawn.\n\n'What has he done with his money?' asked a red-faced gentleman with a\npendulous excrescence on the end of his nose, that shook like the gills\nof a turkey-cock.\n\n'I haven't heard,' said the man with the large chin, yawning again.\n'Left it to his company, perhaps. He hasn't left it to _me_. That's all\nI know.'\n\nThis pleasantry was received with a general laugh.\n\n'It's likely to be a very cheap funeral,' said the same speaker; 'for,\nupon my life, I don't know of anybody to go to it. Suppose we make up a\nparty, and volunteer?'\n\n'I don't mind going if a lunch is provided,' observed the gentleman with\nthe excrescence on his nose. 'But I must be fed if I make one.'\n\nAnother laugh.\n\n[Illustration:\n\n _\"How are you?\" said one.\n \"How are you?\" returned the other.\n \"Well!\" said the first. \"Old Scratch has got his own at last, hey?\"_\n\n]\n\n'Well, I am the most disinterested among you, after all,' said the first\nspeaker, 'for I never wear black gloves, and I never eat lunch. But I'll\noffer to go if anybody else will. When I come to think of it, I'm not\nat all sure that I wasn't his most particular friend; for we used to\nstop and speak whenever we met. Bye, bye!'\n\nSpeakers and listeners strolled away, and mixed with other groups.\nScrooge knew the men, and looked towards the Spirit for an explanation.\n\nThe phantom glided on into a street. Its finger pointed to two persons\nmeeting. Scrooge listened again, thinking that the explanation might lie\nhere.\n\nHe knew these men, also, perfectly. They were men of business: very\nwealthy, and of great importance. He had made a point always of standing\nwell in their esteem in a business point of view, that is; strictly in a\nbusiness point of view.\n\n'How are you?' said one.\n\n'How are you?' returned the other.\n\n'Well!' said the first, 'old Scratch has got his own at last, hey?'\n\n'So I am told,' returned the second. 'Cold, isn't it?'\n\n'Seasonable for Christmas-time. You are not a skater, I suppose?'\n\n'No, no. Something else to think of. Good-morning!'\n\nNot another word. That was their meeting, their conversation, and their\nparting.\n\nScrooge was at first inclined to be surprised that the Spirit should\nattach importance to conversations apparently so trivial; but feeling\nassured that they must have some hidden purpose, he set himself to\nconsider what it was likely to be. They could scarcely be supposed to\nhave any bearing on the death of Jacob, his old partner, for that was\nPast, and this Ghost's province was the Future. Nor could he think of\nany one immediately connected with himself to whom he could apply them.\nBut nothing doubting that, to whomsoever they applied, they had some\nlatent moral for his own improvement, he resolved to treasure up every\nword he heard, and everything he saw; and especially to observe the\nshadow of himself when it appeared. For he had an expectation that the\nconduct of his future self would give him the clue he missed, and would\nrender the solution of these riddles easy.\n\nHe looked about in that very place for his own image, but another man\nstood in his accustomed corner; and though the clock pointed to his\nusual time of day for being there, he saw no likeness of himself among\nthe multitudes that poured in through the Porch. It gave him little\nsurprise, however; for he had been revolving in his mind a change of\nlife, and thought and hoped he saw his new-born resolutions carried out\nin this.\n\nQuiet and dark, beside him stood the Phantom, with its outstretched\nhand. When he roused himself from his thoughtful quest, he fancied,\nfrom the turn of the hand, and its situation in reference to himself,\nthat the Unseen Eyes were looking at him keenly. It made him shudder,\nand feel very cold.\n\nThey left the busy scene, and went into an obscure part of the town,\nwhere Scrooge had never penetrated before, although he recognised its\nsituation and its bad repute. The ways were foul and narrow; the shop\nand houses wretched; the people half naked, drunken, slipshod, ugly.\nAlleys and archways, like so many cesspools, disgorged their offences of\nsmell and dirt, and life upon the straggling streets; and the whole\nquarter reeked with crime, with filth, and misery.\n\nFar in this den of infamous resort, there was a low-browed, beetling\nshop, below a penthouse roof, where iron, old rags, bottles, bones, and\ngreasy offal were bought. Upon the floor within were piled up heaps of\nrusty keys, nails, chains, hinges, files, scales, weights, and refuse\niron of all kinds. Secrets that few would like to scrutinise were bred\nand hidden in mountains of unseemly rags, masses of corrupted fat, and\nsepulchres of bones. Sitting in among the wares he dealt in, by a\ncharcoal stove made of old bricks, was a grey-haired rascal, nearly\nseventy years of age, who had screened himself from the cold air without\nby a frouzy curtaining of miscellaneous tatters hung upon a line and\nsmoked his pipe in all the luxury of calm retirement.\n\nScrooge and the Phantom came into the presence of this man, just as a\nwoman with a heavy bundle slunk into the shop. But she had scarcely\nentered, when another woman, similarly laden, came in too; and she was\nclosely followed by a man in faded black, who was no less startled by\nthe sight of them than they had been upon the recognition of each other.\nAfter a short period of blank astonishment, in which the old man with\nthe pipe had joined them, they all three burst into a laugh.\n\n'Let the charwoman alone to be the first!' cried she who had entered\nfirst. 'Let the laundress alone to be the second; and let the\nundertaker's man alone to be the third. Look here, old Joe, here's a\nchance! If we haven't all three met here without meaning it!'\n\n'You couldn't have met in a better place,' said old Joe, removing his\npipe from his mouth. 'Come into the parlour. You were made free of it\nlong ago, you know; and the other two an't strangers. Stop till I shut\nthe door of the shop. Ah! how it skreeks! There an't such a rusty bit of\nmetal in the place as its own hinges, I believe; and I'm sure there's no\nsuch old bones here as mine. Ha! ha! We're all suitable to our calling,\nwe're well matched. Come into the parlour. Come into the parlour.'\n\nThe parlour was the space behind the screen of rags. The old man raked\nthe fire together with an old stair-rod, and having trimmed his smoky\nlamp (for it was night) with the stem of his pipe, put it into his mouth\nagain.\n\nWhile he did this, the woman who had already spoken threw her bundle on\nthe floor, and sat down in a flaunting manner on a stool, crossing her\nelbows on her knees, and looking with a bold defiance at the other two.\n\n'What odds, then? What odds, Mrs. Dilber?' said the woman. 'Every person\nhas a right to take care of themselves. _He_ always did!'\n\n'That's true, indeed!' said the laundress. 'No man more so.'\n\n'Why, then, don't stand staring as if you was afraid, woman! Who's the\nwiser? We're not going to pick holes in each other's coats, I suppose?'\n\n'No, indeed!' said Mrs. Dilber and the man together. 'We should hope\nnot.'\n\n'Very well then!' cried the woman. 'That's enough. Who's the worse for\nthe loss of a few things like these? Not a dead man, I suppose?'\n\n'No, indeed,' said Mrs. Dilber, laughing.\n\n'If he wanted to keep 'em after he was dead, a wicked old screw,'\npursued the woman, 'why wasn't he natural in his lifetime? If he had\nbeen, he'd have had somebody to look after him when he was struck with\nDeath, instead of lying gasping out his last there, alone by himself.'\n\n'It's the truest word that ever was spoke,' said Mrs. Dilber. 'It's a\njudgment on him.'\n\n'I wish it was a little heavier judgment,' replied the woman: 'and it\nshould have been, you may depend upon it, if I could have laid my hands\non anything else. Open that bundle, old Joe, and let me know the value\nof it. Speak out plain. I'm not afraid to be the first, nor afraid for\nthem to see it. We knew pretty well that we were helping ourselves\nbefore we met here, I believe. It's no sin. Open the bundle, Joe.'\n\nBut the gallantry of her friends would not allow of this; and the man in\nfaded black, mounting the breach first, produced _his_ plunder. It was\nnot extensive. A seal or two, a pencil-case, a pair of sleeve-buttons,\nand a brooch of no great value, were all. They were severally examined\nand appraised by old Joe, who chalked the sums he was disposed to give\nfor each upon the wall, and added them up into a total when he found\nthat there was nothing more to come.\n\n'That's your account,' said Joe, 'and I wouldn't give another sixpence,\nif I was to be boiled for not doing it. Who's next?'\n\n\n[Illustration: _\"What do you call this?\" said Joe. \"Bed-curtains.\"_]\n\nMrs. Dilber was next. Sheets and towels, a little wearing apparel, two\nold fashioned silver teaspoons, a pair of sugar-tongs, and a few\nboots. Her account was stated on the wall in the same manner.\n\n'I always give too much to ladies. It's a weakness of mine, and that's\nthe way I ruin myself,' said old Joe. 'That's your account. If you asked\nme for another penny, and made it an open question, I'd repent of being\nso liberal, and knock off half-a-crown.'\n\n'And now undo _my_ bundle, Joe,' said the first woman.\n\nJoe went down on his knees for the greater convenience of opening it,\nand, having unfastened a great many knots, dragged out a large heavy\nroll of some dark stuff.\n\n'What do you call this?' said Joe. 'Bed-curtains?'\n\n'Ah!' returned the woman, laughing and leaning forward on her crossed\narms. 'Bed-curtains!'\n\n'You don't mean to say you took 'em down, rings and all, with him lying\nthere?' said Joe.\n\n'Yes, I do,' replied the woman. 'Why not?'\n\n'You were born to make your fortune,' said Joe, 'and you'll certainly do\nit.'\n\n'I certainly shan't hold my hand, when I can get anything in it by\nreaching it out, for the sake of such a man as he was, I promise you,\nJoe,' returned the woman coolly. 'Don't drop that oil upon the blankets,\nnow.'\n\n'His blankets?' asked Joe.\n\n'Whose else's do you think?' replied the woman. 'He isn't likely to take\ncold without 'em, I dare say.'\n\n'I hope he didn't die of anything catching? Eh?' said old Joe, stopping\nin his work, and looking up.\n\n'Don't you be afraid of that,' returned the woman. 'I an't so fond of\nhis company that I'd loiter about him for such things, if he did. Ah!\nyou may look through that shirt till your eyes ache, but you won't find\na hole in it, nor a threadbare place. It's the best he had, and a fine\none too. They'd have wasted it, if it hadn't been for me.'\n\n'What do you call wasting of it?' asked old Joe.\n\n'Putting it on him to be buried in, to be sure,' replied the woman, with\na laugh. 'Somebody was fool enough to do it, but I took it off again. If\ncalico an't good enough for such a purpose, it isn't good enough for\nanything. It's quite as becoming to the body. He can't look uglier than\nhe did in that one.'\n\nScrooge listened to this dialogue in horror. As they sat grouped about\ntheir spoil, in the scanty light afforded by the old man's lamp, he\nviewed them with a detestation and disgust which could hardly have been\ngreater, though they had been obscene demons marketing the corpse\nitself.\n\n'Ha, ha!' laughed the same woman when old Joe producing a flannel bag\nwith money in it, told out their several gains upon the ground. 'This\nis the end of it, you see! He frightened every one away from him when he\nwas alive, to profit us when he was dead! Ha, ha, ha!'\n\n'Spirit!' said Scrooge, shuddering from head to foot. 'I see, I see. The\ncase of this unhappy man might be my own. My life tends that way now.\nMerciful heaven, what is this?'\n\nHe recoiled in terror, for the scene had changed, and now he almost\ntouched a bed--a bare, uncurtained bed--on which, beneath a ragged\nsheet, there lay a something covered up, which, though it was dumb,\nannounced itself in awful language.\n\nThe room was very dark, too dark to be observed with any accuracy,\nthough Scrooge glanced round it in obedience to a secret impulse,\nanxious to know what kind of room it was. A pale light, rising in the\nouter air, fell straight upon the bed; and on it, plundered and bereft,\nunwatched, unwept, uncared for, was the body of this man.\n\nScrooge glanced towards the Phantom. Its steady hand was pointed to the\nhead. The cover was so carelessly adjusted that the slightest raising of\nit, the motion of a finger upon Scrooge's part, would have disclosed the\nface. He thought of it, felt how easy it would be to do, and longed to\ndo it; but he had no more power to withdraw the veil than to dismiss the\nspectre at his side.\n\nOh, cold, cold, rigid, dreadful Death, set up thine altar here, and\ndress it with such terrors as thou hast at thy command; for this is thy\ndominion! But of the loved, revered, and honoured head thou canst not\nturn one hair to thy dread purposes, or make one feature odious. It is\nnot that the hand is heavy, and will fall down when released; it is not\nthat the heart and pulse are still; but that the hand was open,\ngenerous, and true; the heart brave, warm, and tender, and the pulse a\nman's. Strike, Shadow, strike! And see his good deeds springing from the\nwound, to sow the world with life immortal!\n\nNo voice pronounced these words in Scrooge's ears, and yet he heard them\nwhen he looked upon the bed. He thought, if this man could be raised up\nnow, what would be his foremost thoughts? Avarice, hard dealing, griping\ncares? They have brought him to a rich end, truly!\n\nHe lay in the dark, empty house, with not a man, a woman, or a child to\nsay he was kind to me in this or that, and for the memory of one kind\nword I will be kind to him. A cat was tearing at the door, and there was\na sound of gnawing rats beneath the hearthstone. What _they_ wanted in\nthe room of death, and why they were so restless and disturbed, Scrooge\ndid not dare to think.\n\n'Spirit!' he said, 'this is a fearful place. In leaving it, I shall not\nleave its lesson, trust me. Let us go!'\n\nStill the Ghost pointed with an unmoved finger to the head.\n\n'I understand you,' Scrooge returned, 'and I would do it if I could. But\nI have not the power, Spirit. I have not the power.'\n\nAgain it seemed to look upon him.\n\n'If there is any person in the town who feels emotion caused by this\nman's death,' said Scrooge, quite agonised, 'show that person to me,\nSpirit, I beseech you!'\n\nThe Phantom spread its dark robe before him for a moment, like a wing;\nand, withdrawing it, revealed a room by daylight, where a mother and her\nchildren were.\n\nShe was expecting some one, and with anxious eagerness; for she walked\nup and down the room, started at every sound, looked out from the\nwindow, glanced at the clock, tried, but in vain, to work with her\nneedle, and could hardly bear the voices of her children in their play.\n\nAt length the long-expected knock was heard. She hurried to the door,\nand met her husband; a man whose face was careworn and depressed, though\nhe was young. There was a remarkable expression in it now, a kind of\nserious delight of which he felt ashamed, and which he struggled to\nrepress.\n\nHe sat down to the dinner that had been hoarding for him by the fire,\nand when she asked him faintly what news (which was not until after a\nlong silence), he appeared embarrassed how to answer.\n\n'Is it good,' she said, 'or bad?' to help him.\n\n'Bad,' he answered.\n\n'We are quite ruined?'\n\n'No. There is hope yet, Caroline.'\n\n'If _he_ relents,' she said, amazed, 'there is! Nothing is past hope, if\nsuch a miracle has happened.'\n\n'He is past relenting,' said her husband. 'He is dead.'\n\nShe was a mild and patient creature, if her face spoke truth; but she\nwas thankful in her soul to hear it, and she said so with clasped hands.\nShe prayed forgiveness the next moment, and was sorry; but the first was\nthe emotion of her heart.\n\n'What the half-drunken woman, whom I told you of last night, said to me\nwhen I tried to see him and obtain a week's delay--and what I thought\nwas a mere excuse to avoid me--turns out to have been quite true. He was\nnot only very ill, but dying, then.'\n\n'To whom will our debt be transferred?'\n\n'I don't know. But, before that time, we shall be ready with the money;\nand even though we were not, it would be bad fortune indeed to find so\nmerciless a creditor in his successor. We may sleep to-night with light\nhearts, Caroline!'\n\nYes. Soften it as they would, their hearts were lighter. The children's\nfaces, hushed and clustered round to hear what they so little\nunderstood, were brighter; and it was a happier house for this man's\ndeath! The only emotion that the Ghost could show him, caused by the\nevent, was one of pleasure.\n\n'Let me see some tenderness connected with a death,' said Scrooge; 'or\nthat dark chamber, Spirit, which we left just now, will be for ever\npresent to me.'\n\nThe Ghost conducted him through several streets familiar to his feet;\nand as they went along, Scrooge looked here and there to find himself,\nbut nowhere was he to be seen. They entered poor Bob Cratchit's house;\nthe dwelling he had visited before; and found the mother and the\nchildren seated round the fire.\n\nQuiet. Very quiet. The noisy little Cratchits were as still as statues\nin one corner, and sat looking up at Peter, who had a book before him.\nThe mother and her daughters were engaged in sewing. But surely they\nwere very quiet!\n\n'\"And he took a child, and set him in the midst of them.\"'\n\nWhere had Scrooge heard those words? He had not dreamed them. The boy\nmust have read them out as he and the Spirit crossed the threshold. Why\ndid he not go on?\n\nThe mother laid her work upon the table, and put her hand up to her\nface.\n\n'The colour hurts my eyes,' she said.\n\nThe colour? Ah, poor Tiny Tim!\n\n'They're better now again,' said Cratchit's wife. 'It makes them weak by\ncandle-light; and I wouldn't show weak eyes to your father when he comes\nhome for the world. It must be near his time.'\n\n'Past it rather,' Peter answered, shutting up his book. 'But I think he\nhas walked a little slower than he used, these few last evenings,\nmother.'\n\nThey were very quiet again. At last she said, and in a steady, cheerful\nvoice, that only faltered once:\n\n'I have known him walk with--I have known him walk with Tiny Tim upon\nhis shoulder very fast indeed.'\n\n'And so have I,' cried Peter. 'Often.'\n\n'And so have I,' exclaimed another. So had all.\n\n'But he was very light to carry,' she resumed, intent upon her work,\n'and his father loved him so, that it was no trouble, no trouble. And\nthere is your father at the door!'\n\nShe hurried out to meet him; and little Bob in his comforter--he had\nneed of it, poor fellow--came in. His tea was ready for him on the hob,\nand they all tried who should help him to it most. Then the two young\nCratchits got upon his knees, and laid, each child, a little cheek\nagainst his face, as if they said, 'Don't mind it, father. Don't be\ngrieved!'\n\nBob was very cheerful with them, and spoke pleasantly to all the family.\nHe looked at the work upon the table, and praised the industry and speed\nof Mrs. Cratchit and the girls. They would be done long before Sunday,\nhe said.\n\n'Sunday! You went to-day, then, Robert?' said his wife.\n\n'Yes, my dear,' returned Bob. 'I wish you could have gone. It would have\ndone you good to see how green a place it is. But you'll see it often. I\npromised him that I would walk there on a Sunday. My little, little\nchild!' cried Bob. 'My little child!'\n\nHe broke down all at once. He couldn't help it. If he could have helped\nit, he and his child would have been farther apart, perhaps, than they\nwere.\n\nHe left the room, and went upstairs into the room above, which was\nlighted cheerfully, and hung with Christmas. There was a chair set close\nbeside the child, and there were signs of some one having been there\nlately. Poor Bob sat down in it, and when he had thought a little and\ncomposed himself, he kissed the little face. He was reconciled to what\nhad happened, and went down again quite happy.\n\nThey drew about the fire, and talked, the girls and mother working\nstill. Bob told them of the extraordinary kindness of Mr. Scrooge's\nnephew, whom he had scarcely seen but once, and who, meeting him in the\nstreet that day, and seeing that he looked a little--'just a little\ndown, you know,' said Bob, inquired what had happened to distress him.\n'On which,' said Bob, 'for he is the pleasantest-spoken gentleman you\never heard, I told him. \"I am heartily sorry for it, Mr. Cratchit,\" he\nsaid, \"and heartily sorry for your good wife.\" By-the-bye, how he ever\nknew _that_ I don't know.'\n\n'Knew what, my dear?'\n\n'Why, that you were a good wife,' replied Bob.\n\n'Everybody knows that,' said Peter.\n\n'Very well observed, my boy!' cried Bob. 'I hope they do. \"Heartily\nsorry,\" he said, \"for your good wife. If I can be of service to you in\nany way,\" he said, giving me his card, \"that's where I live. Pray come\nto me.\" Now, it wasn't,' cried Bob, 'for the sake of anything he might\nbe able to do for us, so much as for his kind way, that this was quite\ndelightful. It really seemed as if he had known our Tiny Tim, and felt\nwith us.'\n\n'I'm sure he's a good soul!' said Mrs. Cratchit.\n\n'You would be sure of it, my dear,' returned Bob, 'if you saw and spoke\nto him. I shouldn't be at all surprised--mark what I say!--if he got\nPeter a better situation.'\n\n'Only hear that, Peter,' said Mrs. Cratchit.\n\n'And then,' cried one of the girls, 'Peter will be keeping company with\nsome one, and setting up for himself.'\n\n'Get along with you!' retorted Peter, grinning.\n\n'It's just as likely as not,' said Bob, 'one of these days; though\nthere's plenty of time for that, my dear. But, however and whenever we\npart from one another, I am sure we shall none of us forget poor Tiny\nTim--shall we--or this first parting that there was among us?'\n\n'Never, father!' cried they all.\n\n'And I know,' said Bob, 'I know, my dears, that when we recollect how\npatient and how mild he was; although he was a little, little child; we\nshall not quarrel easily among ourselves, and forget poor Tiny Tim in\ndoing it.'\n\n'No, never, father!' they all cried again.\n\n'I am very happy,' said little Bob, 'I am very happy!'\n\nMrs. Cratchit kissed him, his daughters kissed him, the two young\nCratchits kissed him, and Peter and himself shook hands. Spirit of Tiny\nTim, thy childish essence was from God!\n\n'Spectre,' said Scrooge, 'something informs me that our parting moment\nis at hand. I know it but I know not how. Tell me what man that was whom\nwe saw lying dead?'\n\nThe Ghost of Christmas Yet to Come conveyed him, as before--though at a\ndifferent time, he thought: indeed there seemed no order in these latter\nvisions, save that they were in the Future--into the resorts of business\nmen, but showed him not himself. Indeed, the Spirit did not stay for\nanything, but went straight on, as to the end just now desired, until\nbesought by Scrooge to tarry for a moment.\n\n'This court,' said Scrooge, 'through which we hurry now, is where my\nplace of occupation is, and has been for a length of time. I see the\nhouse. Let me behold what I shall be in days to come.'\n\nThe Spirit stopped; the hand was pointed elsewhere.\n\n'The house is yonder,' Scrooge exclaimed. 'Why do you point away?'\n\nThe inexorable finger underwent no change.\n\nScrooge hastened to the window of his office, and looked in. It was an\noffice still, but not his. The furniture was not the same, and the\nfigure in the chair was not himself. The Phantom pointed as before.\n\nHe joined it once again, and, wondering why and whither he had gone,\naccompanied it until they reached an iron gate. He paused to look round\nbefore entering.\n\nA churchyard. Here, then, the wretched man, whose name he had now to\nlearn, lay underneath the ground. It was a worthy place. Walled in by\nhouses; overrun by grass and weeds, the growth of vegetation's death,\nnot life; choked up with too much burying; fat with repleted appetite. A\nworthy place!\n\nThe Spirit stood among the graves, and pointed down to One. He advanced\ntowards it trembling. The Phantom was exactly as it had been, but he\ndreaded that he saw new meaning in its solemn shape.\n\n'Before I draw nearer to that stone to which you point,' said Scrooge,\n'answer me one question. Are these the shadows of the things that Will\nbe, or are they shadows of the things that May be only?'\n\nStill the Ghost pointed downward to the grave by which it stood.\n\n'Men's courses will foreshadow certain ends, to which, if persevered in,\nthey must lead,' said Scrooge. 'But if the courses be departed from, the\nends will change. Say it is thus with what you show me!'\n\nThe Spirit was immovable as ever.\n\nScrooge crept towards it, trembling as he went; and, following the\nfinger, read upon the stone of the neglected grave his own name,\nEBENEZER SCROOGE.\n\n'Am I that man who lay upon the bed?' he cried upon his knees.\n\nThe finger pointed from the grave to him, and back again.\n\n'No, Spirit! Oh no, no!'\n\nThe finger still was there.\n\n'Spirit!' he cried, tight clutching at its robe, 'hear me! I am not the\nman I was. I will not be the man I must have been but for this\nintercourse. Why show me this, if I am past all hope?'\n\nFor the first time the hand appeared to shake.\n\n'Good Spirit,' he pursued, as down upon the ground he fell before it,\n'your nature intercedes for me, and pities me. Assure me that I yet may\nchange these shadows you have shown me by an altered life?'\n\nThe kind hand trembled.\n\n'I will honour Christmas in my heart, and try to keep it all the year. I\nwill live in the Past, the Present, and the Future. The Spirits of all\nThree shall strive within me. I will not shut out the lessons that they\nteach. Oh, tell me I may sponge away the writing on this stone!'\n\nIn his agony he caught the spectral hand. It sought to free itself, but\nhe was strong in his entreaty, and detained it. The Spirit stronger yet,\nrepulsed him.\n\nHolding up his hands in a last prayer to have his fate reversed, he saw\nan alteration in the Phantom's hood and dress. It shrunk, collapsed, and\ndwindled down into a bedpost.\n\n\nSTAVE FIVE\n\n\n[Illustration]\n\n\n\n\nTHE END OF IT\n\n\nYes! and the bedpost was his own. The bed was his own, the room was his\nown. Best and happiest of all, the Time before him was his own, to make\namends in!\n\n'I will live in the Past, the Present, and the Future!' Scrooge repeated\nas he scrambled out of bed. 'The Spirits of all Three shall strive\nwithin me. O Jacob Marley! Heaven and the Christmas Time be praised for\nthis! I say it on my knees, old Jacob; on my knees!'\n\nHe was so fluttered and so glowing with his good intentions, that his\nbroken voice would scarcely answer to his call. He had been sobbing\nviolently in his conflict with the Spirit, and his face was wet with\ntears.\n\n'They are not torn down,' cried Scrooge, folding one of his bed-curtains\nin his arms, 'They are not torn down, rings and all. They are here--I am\nhere--the shadows of the things that would have been may be dispelled.\nThey will be. I know they will!'\n\nHis hands were busy with his garments all this time: turning them inside\nout, putting them on upside down, tearing them, mislaying them, making\nthem parties to every kind of extravagance.\n\n'I don't know what to do!' cried Scrooge, laughing and crying in the\nsame breath, and making a perfect Laocoon of himself with his stockings.\n'I am as light as a feather, I am as happy as an angel, I am as merry as\na schoolboy, I am as giddy as a drunken man. A merry Christmas to\neverybody! A happy New Year to all the world! Hallo here! Whoop! Hallo!'\n\nHe had frisked into the sitting-room, and was now standing there,\nperfectly winded.\n\n'There's the saucepan that the gruel was in!' cried Scrooge, starting\noff again, and going round the fireplace. 'There's the door by which the\nGhost of Jacob Marley entered! There's the corner where the Ghost of\nChristmas Present sat! There's the window where I saw the wandering\nSpirits! It's all right, it's all true, it all happened. Ha, ha, ha!'\n\nReally, for a man who had been out of practice for so many years, it was\na splendid laugh, a most illustrious laugh. The father of a long, long\nline of brilliant laughs!\n\n'I don't know what day of the month it is,' said Scrooge. 'I don't know\nhow long I have been among the Spirits. I don't know anything. I'm quite\na baby. Never mind. I don't care. I'd rather be a baby. Hallo! Whoop!\nHallo here!'\n\nHe was checked in his transports by the churches ringing out the\nlustiest peals he had ever heard. Clash, clash, hammer; ding, dong,\nbell! Bell, dong, ding; hammer, clash, clash! Oh, glorious, glorious!\n\nRunning to the window, he opened it, and put out his head. No fog, no\nmist; clear, bright, jovial, stirring, cold; cold, piping for the blood\nto dance to; golden sunlight; heavenly sky; sweet fresh air; merry\nbells. Oh, glorious! Glorious!\n\n'What's to-day?' cried Scrooge, calling downward to a boy in Sunday\nclothes, who perhaps had loitered in to look about him.\n\n'EH?' returned the boy with all his might of wonder.\n\n'What's to-day, my fine fellow?' said Scrooge.\n\n'To-day!' replied the boy. 'Why, CHRISTMAS DAY.'\n\n'It's Christmas Day!' said Scrooge to himself. 'I haven't missed it. The\nSpirits have done it all in one night. They can do anything they like.\nOf course they can. Of course they can. Hallo, my fine fellow!'\n\n'Hallo!' returned the boy.\n\n'Do you know the poulterer's in the next street but one, at the corner?'\nScrooge inquired.\n\n'I should hope I did,' replied the lad.\n\n'An intelligent boy!' said Scrooge. 'A remarkable boy! Do you know\nwhether they've sold the prize turkey that was hanging up there?--Not\nthe little prize turkey: the big one?'\n\n'What! the one as big as me?' returned the boy.\n\n'What a delightful boy!' said Scrooge. 'It's a pleasure to talk to him.\nYes, my buck!'\n\n'It's hanging there now,' replied the boy.\n\n'Is it?' said Scrooge. 'Go and buy it.'\n\n'Walk-ER!' exclaimed the boy.\n\n'No, no,' said Scrooge. 'I am in earnest. Go and buy it, and tell 'em to\nbring it here, that I may give them the directions where to take it.\nCome back with the man, and I'll give you a shilling. Come back with him\nin less than five minutes, and I'll give you half-a-crown!'\n\nThe boy was off like a shot. He must have had a steady hand at a trigger\nwho could have got a shot off half as fast.\n\n'I'll send it to Bob Cratchit's,' whispered Scrooge, rubbing his hands,\nand splitting with a laugh. 'He shan't know who sends it. It's twice the\nsize of Tiny Tim. Joe Miller never made such a joke as sending it to\nBob's will be!'\n\nThe hand in which he wrote the address was not a steady one; but write\nit he did, somehow, and went downstairs to open the street-door, ready\nfor the coming of the poulterer's man. As he stood there, waiting his\narrival, the knocker caught his eye.\n\n'I shall love it as long as I live!' cried Scrooge, patting it with his\nhand. 'I scarcely ever looked at it before. What an honest expression it\nhas in its face! It's a wonderful knocker!--Here's the turkey. Hallo!\nWhoop! How are you! Merry Christmas!'\n\nIt _was_ a turkey! He never could have stood upon his legs, that bird.\nHe would have snapped 'em short off in a minute, like sticks of\nsealing-wax.\n\n'Why, it's impossible to carry that to Camden Town,' said Scrooge. 'You\nmust have a cab.'\n\nThe chuckle with which he said this, and the chuckle with which he paid\nfor the turkey, and the chuckle with which he paid for the cab, and the\nchuckle with which he recompensed the boy, were only to be exceeded by\nthe chuckle with which he sat down breathless in his chair again, and\nchuckled till he cried.\n\nShaving was not an easy task, for his hand continued to shake very much;\nand shaving requires attention, even when you don't dance while you are\nat it. But if he had cut the end of his nose off, he would have put a\npiece of sticking-plaster over it, and been quite satisfied.\n\nHe dressed himself 'all in his best,' and at last got out into the\nstreets. The people were by this time pouring forth, as he had seen them\nwith the Ghost of Christmas Present; and, walking with his hands behind\nhim, Scrooge regarded every one with a delighted smile. He looked so\nirresistibly pleasant, in a word, that three or four good-humoured\nfellows said, 'Good-morning, sir! A merry Christmas to you!' And Scrooge\nsaid often afterwards that, of all the blithe sounds he had ever heard,\nthose were the blithest in his ears.\n\nHe had not gone far when, coming on towards him, he beheld the portly\ngentleman who had walked into his counting-house the day before, and\nsaid, 'Scrooge and Marley's, I believe?' It sent a pang across his heart\nto think how this old gentleman would look upon him when they met; but\nhe knew what path lay straight before him, and he took it.\n\n'My dear sir,' said Scrooge, quickening his pace, and taking the old\ngentleman by both his hands, 'how do you do? I hope you succeeded\nyesterday. It was very kind of you. A merry Christmas to you, sir!'\n\n'Mr. Scrooge?'\n\n'Yes,' said Scrooge. 'That is my name, and I fear it may not be pleasant\nto you. Allow me to ask your pardon. And will you have the goodness----'\nHere Scrooge whispered in his ear.\n\n'Lord bless me!' cried the gentleman, as if his breath were taken away.\n'My dear Mr. Scrooge, are you serious?'\n\n'If you please,' said Scrooge. 'Not a farthing less. A great many\nback-payments are included in it, I assure you. Will you do me that\nfavour?'\n\n'My dear sir,' said the other, shaking hands with him, 'I don't know\nwhat to say to such munifi----'\n\n'Don't say anything, please,' retorted Scrooge. 'Come and see me. Will\nyou come and see me?'\n\n'I will!' cried the old gentleman. And it was clear he meant to do it.\n\n'Thankee,' said Scrooge. 'I am much obliged to you. I thank you fifty\ntimes. Bless you!'\n\nHe went to church, and walked about the streets, and watched the people\nhurrying to and fro, and patted the children on the head, and questioned\nbeggars, and looked down into the kitchens of houses, and up to the\nwindows; and found that everything could yield him pleasure. He had\nnever dreamed that any walk--that anything--could give him so much\nhappiness. In the afternoon he turned his steps towards his nephew's\nhouse.\n\nHe passed the door a dozen times before he had the courage to go up and\nknock. But he made a dash and did it.\n\n'Is your master at home, my dear?' said Scrooge to the girl. 'Nice girl!\nVery.'\n\n'Yes, sir.'\n\n'Where is he, my love?' said Scrooge.\n\n'He's in the dining-room, sir, along with mistress. I'll show you\nupstairs, if you please.'\n\n'Thankee. He knows me,' said Scrooge, with his hand already on the\ndining-room lock. 'I'll go in here, my dear.'\n\nHe turned it gently, and sidled his face in round the door. They were\nlooking at the table (which was spread out in great array); for these\nyoung housekeepers are always nervous on such points, and like to see\nthat everything is right.\n\n'Fred!' said Scrooge.\n\nDear heart alive, how his niece by marriage started! Scrooge had\nforgotten, for the moment, about her sitting in the corner with the\nfootstool, or he wouldn't have done it on any account.\n\n'Why, bless my soul!' cried Fred, 'who's that?'\n\n[Illustration: _\"It's I, your uncle Scrooge. I have come to dinner. Will\nyou let me in, Fred?\"_]\n\n'It's I. Your uncle Scrooge. I have come to dinner. Will you let me in,\nFred?'\n\nLet him in! It is a mercy he didn't shake his arm off. He was at home in\nfive minutes. Nothing could be heartier. His niece looked just the same.\nSo did Topper when _he_ came. So did the plump sister when _she_ came.\nSo did every one when _they_ came. Wonderful party, wonderful games,\nwonderful unanimity, won-der-ful happiness!\n\nBut he was early at the office next morning. Oh, he was early there! If\nhe could only be there first, and catch Bob Cratchit coming late! That\nwas the thing he had set his heart upon.\n\nAnd he did it; yes, he did! The clock struck nine. No Bob. A quarter\npast. No Bob. He was full eighteen minutes and a half behind his time.\nScrooge sat with his door wide open, that he might see him come into the\ntank.\n\nHis hat was off before he opened the door; his comforter too. He was on\nhis stool in a jiffy, driving away with his pen, as if he were trying to\novertake nine o'clock.\n\n'Hallo!' growled Scrooge in his accustomed voice as near as he could\nfeign it. 'What do you mean by coming here at this time of day?'\n\n'I am very sorry, sir,' said Bob. 'I _am_ behind my time.'\n\n'You are!' repeated Scrooge. 'Yes, I think you are. Step this way, sir,\nif you please.'\n\n'It's only once a year, sir,' pleaded Bob, appearing from the tank. 'It\nshall not be repeated. I was making rather merry yesterday, sir.'\n\n'Now, I'll tell you what, my friend,' said Scrooge. 'I am not going to\nstand this sort of thing any longer. And therefore,' he continued,\nleaping from his stool, and giving Bob such a dig in the waistcoat that\nhe staggered back into the tank again--'and therefore I am about to\nraise your salary!'\n\nBob trembled, and got a little nearer to the ruler. He had a momentary\nidea of knocking Scrooge down with it, holding him, and calling to the\npeople in the court for help and a strait-waistcoat.\n\n'A merry Christmas, Bob!' said Scrooge, with an earnestness that could\nnot be mistaken, as he clapped him on the back. 'A merrier Christmas,\nBob, my good fellow, than I have given you for many a year! I'll raise\nyour salary, and endeavour to assist your struggling family, and we will\ndiscuss your affairs this very afternoon, over a Christmas bowl of\nsmoking bishop, Bob! Make up the fires and buy another coal-scuttle\nbefore you dot another i, Bob Cratchit!'\n\n[Illustration: _\"Now, I'll tell you what, my friend,\" said Scrooge. \"I\nam not going to stand this sort of thing any longer.\"_]\n\nScrooge was better than his word. He did it all, and infinitely more;\nand to Tiny Tim, who did NOT die, he was a second father. He became as\ngood a friend, as good a master, and as good a man as the good old\nCity knew, or any other good old city, town, or borough in the good old\nworld. Some people laughed to see the alteration in him, but he let them\nlaugh, and little heeded them; for he was wise enough to know that\nnothing ever happened on this globe, for good, at which some people did\nnot have their fill of laughter in the outset; and knowing that such as\nthese would be blind anyway, he thought it quite as well that they\nshould wrinkle up their eyes in grins as have the malady in less\nattractive forms. His own heart laughed, and that was quite enough for\nhim.\n\nHe had no further intercourse with Spirits, but lived upon the\nTotal-Abstinence Principle ever afterwards; and it was always said of\nhim that he knew how to keep Christmas well, if any man alive possessed\nthe knowledge. May that be truly said of us, and all of us! And so, as\nTiny Tim observed, God bless Us, Every One!\n\n[Illustration]\n\n+---------------------------------------------------------------+\n|Transcriber's note: The Contents were added by the transcriber.|\n+---------------------------------------------------------------+\n\n\n\n\n\n\n\n*** END OF THE PROJECT GUTENBERG EBOOK A CHRISTMAS CAROL ***\n\n\n \n\nUpdated editions will replace the previous one—the old editions will\nbe renamed.\n\nCreating the works from print editions not protected by U.S. copyright\nlaw means that no one owns a United States copyright in these works,\nso the Foundation (and you!) can copy and distribute it in the United\nStates without permission and without paying copyright\nroyalties. Special rules, set forth in the General Terms of Use part\nof this license, apply to copying and distributing Project\nGutenberg™ electronic works to protect the PROJECT GUTENBERG™\nconcept and trademark. 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"model": "gpt-4o-mini" - }, - "00d7b6433965192b078c10dfaf4206e0": { - "return": "(\"entity\"<|>\"Scrooge\"<|>\"person\"<|>\"Scrooge is a character who experiences perplexity and fear over supernatural events and visions, particularly concerning Marley's Ghost.\")##\n(\"entity\"<|>\"Marley's Ghost\"<|>\"event\"<|>\"Marley's Ghost is an unearthly visitor that appears to Scrooge, causing him to question the nature of reality and dreams.\")##\n(\"entity\"<|>\"The Ghost\"<|>\"event\"<|>\"The Ghost is described as a strange figure with qualities of both a child and an old man, representing the supernatural intervention in Scrooge's life.\")##\n(\"entity\"<|>\"Clock\"<|>\"organization\"<|>\"The Clock symbolizes the passage of time and plays a pivotal role in establishing the moments of Scrooge's experience with the Ghost.\")##\n(\"relationship\"<|>\"Scrooge\"<|>\"Marley's Ghost\"<|>\"Scrooge is directly confronted by Marley's Ghost, leading to confusion and existential questioning on his part.\"<|>\"supernatural encounter, existential crisis\"<|>9)##\n(\"relationship\"<|>\"Scrooge\"<|>\"The Ghost\"<|>\"Scrooge's interaction with The Ghost leads to significant inner turmoil and contemplation about dreams and reality.\"<|>\"supernatural encounter, confusion\"<|>8)##\n(\"relationship\"<|>\"Clock\"<|>\"Scrooge\"<|>\"Scrooge's observations of the Clock reflect his anxiety over time and the supernatural events unfolding around him.\"<|>\"time symbolism, anxiety\"<|>7)##\n(\"content_keywords\"<|>\"supernatural, existential questioning, time, confusion\")<|COMPLETE|>", - "model": "gpt-4o-mini" - }, - "ef7a5529fddead830ae9f9fdfb9e47cf": { - "return": "(\"entity\"<|>\"Marley\"<|>\"person\"<|>\"Marley is depicted as a ghost, having a pigtail, waistcoat, tights, and boots, and is central to Scrooge's haunting experience.\")##\n(\"entity\"<|>\"Scrooge\"<|>\"person\"<|>\"Scrooge is the main character who is initially skeptical about the ghostly presence of Marley, reflecting his character's humbug attitude.\")##\n(\"entity\"<|>\"The House\"<|>\"geo\"<|>\"The House is the setting for Scrooge's encounters, characterized by its darkness, the creaking sounds, and the presence of the ghost.\")##\n(\"entity\"<|>\"The Ghost\"<|>\"event\"<|>\"The Ghost refers to the apparition of Marley, which instills dread in Scrooge and symbolizes the theme of redemption.\")##\n(\"relationship\"<|>\"Scrooge\"<|>\"Marley\"<|>\"Scrooge encounters Marley’s ghost, which challenges his beliefs and signifies the start of his transformation.\"<|>\"ghostly encounter, transformation\"<|>8)##\n(\"relationship\"<|>\"Scrooge\"<|>\"The House\"<|>\"Scrooge's experiences and encounters with Marley occur within The House, which plays a significant role in the haunting atmosphere.\"<|>\"setting, atmosphere\"<|>7)##\n(\"relationship\"<|>\"Marley\"<|>\"The Ghost\"<|>\"Marley is the embodiment of The Ghost that appears to Scrooge, representing past choices and the consequences of his actions.\"<|>\"haunting, past choices\"<|>9)##\n(\"content_keywords\"<|>\"redemption, ghosts, transformation, haunting atmosphere\")<|COMPLETE|>", - "model": "gpt-4o-mini" - }, - "ac87fabbb84a6d5cca16454aa74afa60": { - "return": "(\"entity\"<|>\"Scrooge\"<|>\"person\"<|>\"Scrooge is a solitary and cold-hearted character, known for his miserly behavior and disdain for Christmas, showing a lack of empathy towards others.\")##\n(\"entity\"<|>\"Scrooge's Nephew\"<|>\"person\"<|>\"Scrooge's Nephew is a cheerful and optimistic character who challenges Scrooge's gloomy outlook on Christmas and life.\")##\n(\"entity\"<|>\"Christmas\"<|>\"event\"<|>\"Christmas represents a time of celebration and joy that Scrooge rejects, highlighting themes of generosity and community.\")##\n(\"entity\"<|>\"Counting-house\"<|>\"organization\"<|>\"Scrooge's counting-house is the place of his work, characterized by coldness and a lack of warmth or holiday spirit.\")##\n(\"relationship\"<|>\"Scrooge\"<|>\"Scrooge's Nephew\"<|>\"Scrooge and his nephew engage in a verbal exchange where the nephew represents joy and celebration, contrasting with Scrooge's cynicism and disdain.\"<|>\"family conflict, contrasting views\"<|>8)##\n(\"relationship\"<|>\"Scrooge\"<|>\"Christmas\"<|>\"Scrooge's rejection of Christmas embodies his overall discord with the spirit of the holiday, viewing it as a time of financial burden instead of joy.\"<|>\"rejection, festive spirit\"<|>9)##\n(\"relationship\"<|>\"Scrooge's Nephew\"<|>\"Christmas\"<|>\"Scrooge's nephew views Christmas as a merry occasion, symbolizing the warmth and generosity that Scrooge dismisses.\"<|>\"celebration, contrasting views\"<|>7)##\n(\"relationship\"<|>\"Scrooge\"<|>\"Counting-house\"<|>\"Scrooge's counting-house is a reflection of his cold character and attitude towards life, where he isolates himself from human interactions.\"<|>\"isolation, work environment\"<|>8)##\n(\"content_keywords\"<|>\"isolation, festive spirit, financial burden, family conflict\")<|COMPLETE|>", - "model": "gpt-4o-mini" - }, - "b6d217776b520bf85bf936916835d0b1": { - "return": "(\"entity\"<|>\"Scrooge\"<|>\"person\"<|>\"Scrooge is a central character who interacts with the Spirit and reflects on his past during the narrative.\")##\n(\"entity\"<|>\"Ghost of Christmas Past\"<|>\"event\"<|>\"The Ghost of Christmas Past represents a spirit that guides Scrooge to revisit and reflect on his past experiences and memories.\")##\n(\"entity\"<|>\"The Spirit\"<|>\"organization\"<|>\"The Spirit serves as a guiding force in the narrative, helping Scrooge understand his history and the impact of his actions.\")##\n(\"entity\"<|>\"winter day\"<|>\"event\"<|>\"The winter day serves as the setting for Scrooge's journey with the Ghost, representing a time for reflection and nostalgia.\")##\n(\"entity\"<|>\"market-town\"<|>\"geo\"<|>\"The market-town appears in Scrooge's memories as a significant place from his childhood, representing a connection to his past.\")##\n(\"relationship\"<|>\"Scrooge\"<|>\"Ghost of Christmas Past\"<|>\"Scrooge engages with the Ghost of Christmas Past to explore and reflect on his life and choices.\"<|>\"reflection, guidance\"<|>8)##\n(\"relationship\"<|>\"Scrooge\"<|>\"Spirit\"<|>\"Scrooge's interactions with the Spirit serve to illuminate his past and its influence on his current self.\"<|>\"guidance, personal growth\"<|>7)##\n(\"relationship\"<|>\"Ghost of Christmas Past\"<|>\"winter day\"<|>\"The Ghost leads Scrooge to experience a winter day from his memories, emphasizing feelings of nostalgia and longing.\"<|>\"nostalgia, memory\"<|>9)##\n(\"relationship\"<|>\"Scrooge\"<|>\"market-town\"<|>\"Scrooge encounters the market-town in his memories, triggering feelings of recognition and emotional reflection.\"<|>\"memory, childhood\"<|>8)##\n(\"content_keywords\"<|>\"reflection, nostalgia, personal growth, memory\")<|COMPLETE|>", - "model": "gpt-4o-mini" - }, - "634f685c0c2c226df03cfd9c92ac5482": { - "return": "(\"entity\"<|>\"Scrooge\"<|>\"person\"<|>\"Scrooge is a character who is confronted by the ghost of his former partner, Jacob Marley, and is warned of the consequences of his actions and the visits from three spirits.\")##\n(\"entity\"<|>\"Jacob Marley\"<|>\"person\"<|>\"Jacob Marley is the ghost of Scrooge's former partner, who appears to warn Scrooge about his fate and the need for change in his life.\")##\n(\"entity\"<|>\"The Ghost\"<|>\"event\"<|>\"The Ghost represents the specter of Jacob Marley, who visits Scrooge to deliver an important message regarding his life and the impending visits of three spirits.\")##\n(\"entity\"<|>\"The Three Spirits\"<|>\"event\"<|>\"The Three Spirits are the apparitions that Jacob Marley warns Scrooge about, who will visit him to guide him toward redemption.\")##\n(\"entity\"<|>\"The Phantom Voices\"<|>\"event\"<|>\"The Phantom Voices refer to the sorrowful sounds of lamentation that Scrooge hears as the apparitions wander, representing lost opportunities and regret.\")##\n(\"relationship\"<|>\"Scrooge\"<|>\"Jacob Marley\"<|>\"Scrooge is visited by Jacob Marley, who warns him about his fate and the necessity for personal change to avoid a bleak future.\"<|>\"warning, consequence\"<|>9)##\n(\"relationship\"<|>\"Jacob Marley\"<|>\"The Three Spirits\"<|>\"Jacob Marley indicates that Scrooge will be visited by The Three Spirits to offer him guidance and the chance for redemption.\"<|>\"guidance, redemption\"<|>8)##\n(\"relationship\"<|>\"Scrooge\"<|>\"The Ghost\"<|>\"Scrooge interacts with The Ghost of Jacob Marley, which highlights his struggle with the supernatural and his past actions.\"<|>\"supernatural interaction, past actions\"<|>7)##\n(\"relationship\"<|>\"Scrooge\"<|>\"The Phantom Voices\"<|>\"Scrooge hears the lamentations of The Phantom Voices, reflecting his connection to the spirits of the lost and the consequences of his life choices.\"<|>\"regret, lost opportunities\"<|>6)##\n(\"content_keywords\"<|>\"redemption, guidance, regret, supernatural\")<|COMPLETE|>", - "model": "gpt-4o-mini" - }, - "427f3f0888e677aa2216716b8b911c69": { - "return": "(\"entity\"<|>\"Scrooge\"<|>\"person\"<|>\"Scrooge is a character who experiences a transformation through memories of his past, showing deep emotional vulnerability and a nostalgic connection to Christmas.\")##\n(\"entity\"<|>\"Ali Baba\"<|>\"person\"<|>\"Ali Baba is a character from a story recalled by Scrooge, representing memories of adventure and kindness during Christmas.\")##\n(\"entity\"<|>\"Valentine\"<|>\"person\"<|>\"Valentine is mentioned as a character associated with Scrooge's childhood memories, indicating the depth of his nostalgia.\")##\n(\"entity\"<|>\"Orson\"<|>\"person\"<|>\"Orson, the wild brother of Valentine, is another figure from Scrooge's past, representing familial connections and memories.\")##\n(\"entity\"<|>\"Christmas\"<|>\"event\"<|>\"Christmas is depicted as a significant time of emotional reflection for Scrooge, impacting his character development and memories.\")##\n(\"entity\"<|>\"The Spirit\"<|>\"organization\"<|>\"The Spirit refers to a ghostly figure guiding Scrooge through his memories, playing a vital role in his transformation.\")##\n(\"relationship\"<|>\"Scrooge\"<|>\"The Spirit\"<|>\"The Spirit guides Scrooge through his memories, facilitating his emotional journey and transformation.\"<|>\"guidance, transformation\"<|>9)##\n(\"relationship\"<|>\"Scrooge\"<|>\"Christmas\"<|>\"Scrooge reflects on Christmas with a mix of emotions, highlighting its importance in his life and character arc.\"<|>\"nostalgia, reflection\"<|>8)##\n(\"relationship\"<|>\"Scrooge\"<|>\"Ali Baba\"<|>\"Scrooge recalls Ali Baba fondly, indicating a positive association with adventurers and kindness during Christmas.\"<|>\"memory, kindness\"<|>7)##\n(\"relationship\"<|>\"Scrooge\"<|>\"Valentine\"<|>\"Scrooge's memory of Valentine and Orson illustrates the childhood connections that shape his sentiments during Christmas.\"<|>\"childhood, sentiment\"<|>6)##\n(\"relationship\"<|>\"Orson\"<|>\"Valentine\"<|>\"Orson and Valentine are brothers in the stories remembered by Scrooge, representing familial bonds in his past.\"<|>\"family, nostalgia\"<|>8)##\n(\"content_keywords\"<|>\"nostalgia, transformation, Christmas, emotional reflection\")<|COMPLETE|>", - "model": "gpt-4o-mini" - }, - "cc95e0e21f91f9d1b6f767e6b0166221": { - "return": "(\"entity\"<|>\"Scrooge\"<|>\"person\"<|>\"Scrooge is a character who interacts with a ghost, reflecting on his past decisions and their moral implications.\")##\n(\"entity\"<|>\"Ghost\"<|>\"person\"<|>\"The Ghost is the spirit of Jacob Marley, who expresses remorse for his life and warns Scrooge about the consequences of ignoring his moral duties.\")##\n(\"entity\"<|>\"Jacob Marley\"<|>\"person\"<|>\"Jacob Marley is the deceased business partner of Scrooge, whose ghost visits him to convey a message about the importance of charity and kindness.\")##\n(\"entity\"<|>\"Christmas Eves\"<|>\"event\"<|>\"Christmas Eves refer to the time periods associated with the spirits' visits, specifically connecting to themes of reflection and redemption during the festive season.\")##\n(\"entity\"<|>\"Mankind\"<|>\"concept\"<|>\"Mankind is referenced as a significant concern that should have been the focus of Scrooge's life, highlighting the importance of universal compassion and care.\")##\n(\"relationship\"<|>\"Scrooge\"<|>\"Ghost\"<|>\"Scrooge interacts directly with the Ghost, who aims to teach him about the errors of his ways and the importance of caring for others.\"<|>\"moral lesson, reflection\"<|>9)##\n(\"relationship\"<|>\"Ghost\"<|>\"Jacob Marley\"<|>\"The Ghost is revealed to be Jacob Marley, who embodies the regret of a wasted life and the importance of personal responsibility.\"<|>\"identity, remorse\"<|>10)##\n(\"relationship\"<|>\"Scrooge\"<|>\"Jacob Marley\"<|>\"Scrooge acknowledges Jacob Marley, recognizing his former business partner's lost opportunities and the implications for his own life.\"<|>\"self-reflection, legacy\"<|>8)##\n(\"relationship\"<|>\"Ghost\"<|>\"Mankind\"<|>\"The Ghost emphasizes that Mankind was his true business in life, urging Scrooge to focus on the welfare of others.\"<|>\"moral duty, call to action\"<|>9)##\n(\"relationship\"<|>\"Scrooge\"<|>\"Christmas Eves\"<|>\"Christmas Eves symbolize a critical time for self-reflection and understanding one's past decisions, linking to Scrooge's journey of redemption.\"<|>\"time of reflection, redemption\"<|>7)##\n(\"content_keywords\"<|>\"reflection, redemption, morality, compassion, responsibility\")<|COMPLETE|>", - "model": "gpt-4o-mini" - }, - "fe9aaca3a0fa3a437655b0148e15b0c1": { - "return": "(\"entity\"<|>\"Scrooge\"<|>\"person\"<|>\"Scrooge is a miserly character who expresses disdain for Christmas and refuses to embrace its spirit, highlighting his cold demeanor.\")##\n(\"entity\"<|>\"Scrooge's Nephew\"<|>\"person\"<|>\"Scrooge's Nephew is portrayed as warm-hearted and attempts to engage his uncle in the spirit of Christmas, despite Scrooge's rebuff.\")##\n(\"entity\"<|>\"Marley\"<|>\"person\"<|>\"Marley is Scrooge's deceased business partner, whose death is mentioned as impactful, having passed seven years prior to the events in the text.\")##\n(\"entity\"<|>\"Scrooge and Marley's\"<|>\"organization\"<|>\"Scrooge and Marley's is the name of the business run by Scrooge, signifying a partnership that existed before Marley’s death.\")##\n(\"entity\"<|>\"Christmas\"<|>\"event\"<|>\"Christmas is depicted as a festive season that Scrooge contests, representing themes of generosity and good will that he refuses to acknowledge.\")##\n(\"relationship\"<|>\"Scrooge\"<|>\"Scrooge's Nephew\"<|>\"Scrooge's Nephew attempts to encourage Scrooge to embrace Christmas and reconcile despite Scrooge's insistence on maintaining his disdain.\" <|>\"family dynamics, holiday spirit\"<|>8)##\n(\"relationship\"<|>\"Scrooge\"<|>\"Marley\"<|>\"Scrooge reflects on Marley's death, indicating the profound effect it had on his life, shaping his current perspective on generosity and the holidays.\" <|>\"past influence, regret\"<|>7)##\n(\"relationship\"<|>\"Scrooge's Nephew\"<|>\"Christmas\"<|>\"Scrooge's Nephew associates Christmas with goodwill and joy, which he tries to instill in Scrooge through their conversation.\" <|>\"celebration, contrasting views\"<|>9)##\n(\"relationship\"<|>\"Scrooge and Marley's\"<|>\"Marley\"<|>\"Scrooge and Marley's is the business associated with Marley, emphasizing its history and the weight of Marley's legacy in shaping Scrooge's character.\" <|>\"partnership, legacy\"<|>6)##\n(\"content_keywords\"<|>\"Christmas, family dynamics, legacy, festive spirit\")<|COMPLETE|>", - "model": "gpt-4o-mini" - }, - "fb5cc30455a081e6a6571a0627c00c7d": { - "return": "(\"entity\"<|>\"Scrooge\"<|>\"person\"<|>\"Scrooge is a character who is portrayed as miserly and indifferent to the plight of the poor, showing a strong reluctance to engage in charitable acts.\")##\n(\"entity\"<|>\"The Gentleman\"<|>\"person\"<|>\"The Gentleman is a character attempting to persuade Scrooge to contribute to charity for the poor during Christmas.\")##\n(\"entity\"<|>\"The Poor Law\"<|>\"organization\"<|>\"The Poor Law refers to a governmental system in place intended to support the impoverished, which Scrooge references to indicate his views on responsibility and charity.\")##\n(\"entity\"<|>\"The Union Workhouses\"<|>\"organization\"<|>\"The Union Workhouses are facilities that provide aid to the poor, still operational as confirmed by the Gentleman during the discussion with Scrooge.\")##\n(\"entity\"<|>\"Christmas\"<|>\"event\"<|>\"Christmas is a festive season during which the narrative emphasizes themes of charity and social responsibility, contrasting with Scrooge's views.\")##\n(\"entity\"<|>\"The Mansion House\"<|>\"location\"<|>\"The Mansion House is the official residence of the Lord Mayor, where festive preparations for Christmas are being made.\")##\n(\"relationship\"<|>\"Scrooge\"<|>\"The Gentleman\"<|>\"Scrooge and the Gentleman engage in a discussion about the responsibilities to the poor, underlining Scrooge's disdain for charitable contributions.\"<|>\"charity, social responsibility\"<|>8)##\n(\"relationship\"<|>\"The Gentleman\"<|>\"The Poor Law\"<|>\"The Gentleman references the Poor Law as part of his argument for helping the needy, illustrating systemic support for the impoverished.\"<|>\"charity, systemic support\"<|>6)##\n(\"relationship\"<|>\"The Poor Law\"<|>\"The Union Workhouses\"<|>\"The Poor Law and Union Workhouses are connected as they both serve as mechanisms for helping the poor, albeit with differing implications for charity.\"<|>\"support mechanisms, charity\"<|>7)##\n(\"relationship\"<|>\"Scrooge\"<|>\"Christmas\"<|>\"Scrooge's refusal to celebrate Christmas reflects his overall attitude towards generosity and societal obligations during this festive time.\"<|>\"holiday spirit, social critique\"<|>9)##\n(\"relationship\"<|>\"The Lady Mayor\"<|>\"The Mansion House\"<|>\"The Lady Mayor prepares for Christmas festivities at the Mansion House, highlighting the importance of the event to the community.\"<|>\"holiday preparations, community significance\"<|>8)##\n(\"content_keywords\"<|>\"charity, social responsibility, Christmas, poverty\")<|COMPLETE|>", - "model": "gpt-4o-mini" - }, - "2b05f17e6e7f73aa7dc5f2c4d1ef948c": { - "return": "(\"entity\"<|>\"Ebenezer Scrooge\"<|>\"person\"<|>\"Ebenezer Scrooge is a central character known for his past connections and interactions, especially with Fezziwig and Dick Wilkins.\")##\n(\"entity\"<|>\"Dick Wilkins\"<|>\"person\"<|>\"Dick Wilkins is a former apprentice of Scrooge, remembered fondly for his attachment to Scrooge.\")##\n(\"entity\"<|>\"Fezziwig\"<|>\"organization\"<|>\"Fezziwig is the owner of a business where festive celebrations take place, known for his jovial character and ability to create a lively atmosphere.\")##\n(\"entity\"<|>\"Christmas Eve\"<|>\"event\"<|>\"Christmas Eve is a significant time in the story, marked by celebrations and gatherings led by Fezziwig.\")##\n(\"entity\"<|>\"Mrs. Fezziwig\"<|>\"person\"<|>\"Mrs. Fezziwig is noted for her smile and participation in the festivities, particularly in dancing with Fezziwig.\")##\n(\"entity\"<|>\"The Dancers\"<|>\"organization\"<|>\"The Dancers represent the lively group of people celebrating and participating in the festivities organized by Fezziwig.\")##\n(\"relationship\"<|>\"Ebenezer Scrooge\"<|>\"Dick Wilkins\"<|>\"Scrooge remembers Dick Wilkins fondly, showing a connection from their past as apprentices together.\"<|>\"nostalgia, past friendship\"<|>8)##\n(\"relationship\"<|>\"Fezziwig\"<|>\"Ebenezer Scrooge\"<|>\"Fezziwig created a memorable and joyful atmosphere for Scrooge and his fellow apprentices during the celebration.\"<|>\"mentorship, celebration\"<|>9)##\n(\"relationship\"<|>\"Fezziwig\"<|>\"Christmas Eve\"<|>\"Fezziwig's celebrations take place on Christmas Eve, highlighting the special significance of this event.\"<|>\"event significance, festivity\"<|>10)##\n(\"relationship\"<|>\"Mrs. Fezziwig\"<|>\"Fezziwig\"<|>\"Mrs. Fezziwig participates in the festivities alongside her husband, enhancing the joyful environment.\"<|>\"partnership, celebration\"<|>8)##\n(\"relationship\"<|>\"Fezziwig\"<|>\"The Dancers\"<|>\"The Dancers participate in the lively celebrations orchestrated by Fezziwig, showcasing the joyous atmosphere of the event.\"<|>\"celebration, community\"<|>9)##\n(\"content_keywords\"<|>\"celebration, nostalgia, community, mentorship\")<|COMPLETE|>", - "model": "gpt-4o-mini" - }, - "95e3e9ed4ebba90196292e83422ede45": { - "return": "(\"entity\"<|>\"Fezziwig\"<|>\"person\"<|>\"Fezziwig is a character known for hosting a domestic ball that brings joy and merriment to the participants, showcasing his ability to create happiness.\")##\n(\"entity\"<|>\"Mrs. Fezziwig\"<|>\"person\"<|>\"Mrs. Fezziwig partners with Fezziwig in hosting the domestic ball, contributing to the warmth and cheer of the event.\")##\n(\"entity\"<|>\"Scrooge\"<|>\"person\"<|>\"Scrooge is a central character who observes the joyful scenes of the past, reflecting on his own life choices with agitation and regret.\")##\n(\"entity\"<|>\"Dick\"<|>\"person\"<|>\"Dick is associated with Scrooge's former self, evoking nostalgic memories as Scrooge witnesses the past.\")##\n(\"entity\"<|>\"The Ghost of Christmas Past\"<|>\"event\"<|>\"The Ghost of Christmas Past is a supernatural entity that allows Scrooge to revisit and reflect on his previous life experiences.\")##\n(\"entity\"<|>\"The Domestic Ball\"<|>\"event\"<|>\"The Domestic Ball represents a joyful gathering, fostering a sense of community and happiness among the participants.\")##\n(\"relationship\"<|>\"Fezziwig\"<|>\"Mrs. Fezziwig\"<|>\"Fezziwig and Mrs. Fezziwig work together to create a joyful atmosphere at the Domestic Ball, emphasizing their partnership in celebration.\"<|>\"partnership, celebration\"<|>8)##\n(\"relationship\"<|>\"Scrooge\"<|>\"The Ghost of Christmas Past\"<|>\"Scrooge's interaction with the Ghost of Christmas Past highlights his journey of self-reflection and struggle with his past decisions.\"<|>\"self-reflection, guidance\"<|>9)##\n(\"relationship\"<|>\"Scrooge\"<|>\"Fezziwig\"<|>\"Scrooge reminisces about Fezziwig's ball, reflecting on the contrast between his past happiness and present isolation.\"<|>\"nostalgia, contrast\"<|>10)##\n(\"relationship\"<|>\"Fezziwig\"<|>\"The Domestic Ball\"<|>\"Fezziwig is the host of The Domestic Ball, an event that symbolizes joy and community.\" <|>\"celebration, joy\"<|>9)##\n(\"relationship\"<|>\"Scrooge\"<|>\"Dick\"<|>\"Scrooge's memories of Dick evoke a sense of nostalgia and reflection on the changes in his life and their friendship.\"<|>\"nostalgia, friendship\"<|>7)##\n(\"content_keywords\"<|>\"nostalgia, happiness, reflection, celebration\")<|COMPLETE|>", - "model": "gpt-4o-mini" - }, - "6abaeba2769933c3d9f1bf8dd66f0db8": { - "return": "(\"entity\"<|>\"Scrooge\"<|>\"person\"<|>\"Scrooge is a character who exhibits a miserly attitude, showing detachment and indifference towards the festive spirit of Christmas.\")##\n(\"entity\"<|>\"Bob Cratchit\"<|>\"person\"<|>\"Bob Cratchit is Scrooge's clerk, who demonstrates a contrasting warmth and joy during Christmas, despite his low wages.\")##\n(\"entity\"<|>\"Christmas Eve\"<|>\"event\"<|>\"Christmas Eve is the day prior to Christmas, a time that carries festive significance and anticipation in the narrative.\")##\n(\"entity\"<|>\"Camden Town\"<|>\"geo\"<|>\"Camden Town is a location mentioned as Bob Cratchit's home, highlighting the setting of his personal life.\")##\n(\"entity\"<|>\"Marley\"<|>\"person\"<|>\"Marley is Scrooge's deceased business partner whose presence looms over the story, symbolizing the consequences of a life similar to Scrooge's.\")##\n(\"entity\"<|>\"The Counting-House\"<|>\"organization\"<|>\"The Counting-House is the place where Scrooge works, reflecting a business environment lacking warmth or joy.\")##\n(\"relationship\"<|>\"Scrooge\"<|>\"Bob Cratchit\"<|>\"Scrooge is Bob Cratchit's employer, representing a stark divide between their characters, with Scrooge's miserly nature contrasting with Bob's kindness.\"<|>\"employer-employee relationship, contrasting values\"<|>7)##\n(\"relationship\"<|>\"Scrooge\"<|>\"Christmas Eve\"<|>\"Scrooge's actions and attitudes towards Christmas Eve highlight his disdain for traditional celebrations, setting the tone for his character arc.\"<|>\"holiday spirit, character development\"<|>8)##\n(\"relationship\"<|>\"Bob Cratchit\"<|>\"Christmas Eve\"<|>\"Bob Cratchit celebrates Christmas Eve with joy and innocence, showcasing the festive spirit that Scrooge rejects.\"<|>\"festive spirit, contrasting perspectives\"<|>8)##\n(\"relationship\"<|>\"Scrooge\"<|>\"Marley\"<|>\"Scrooge's reflection on Marley underscores the theme of regret and the potential for change in his character's journey.\"<|>\"reflection, theme of regret\"<|>9)##\n(\"relationship\"<|>\"Scrooge\"<|>\"The Counting-House\"<|>\"The Counting-House represents Scrooge's work environment, which is devoid of warmth, paralleling Scrooge's cold demeanor.\"<|>\"work environment, emotional landscape\"<|>6)##\n(\"content_keywords\"<|>\"miserliness, festive spirit, Christmas Eve, contrasting values\")<|COMPLETE|>", - "model": "gpt-4o-mini" - }, - "4498cd83d1404d5f1a79e9d76791f24a": { - "return": "(\"entity\"<|>\"Fezziwig\"<|>\"person\"<|>\"Fezziwig is a joyful and lively character who dances with Mrs. Fezziwig, embodying the festive spirit of Christmas.\")##\n(\"entity\"<|>\"Scrooge\"<|>\"person\"<|>\"Scrooge is a tight-fisted and solitary old man, characterized by his greed and lack of compassion for others.\")##\n(\"entity\"<|>\"Marley\"<|>\"person\"<|>\"Marley is Scrooge's deceased business partner, whose death is a significant event that sets the tone for the story.\")##\n(\"entity\"<|>\"Fred\"<|>\"person\"<|>\"Fred is Scrooge's nephew, who invites Scrooge to dinner, emphasizing familial connections and the spirit of Christmas.\")##\n(\"entity\"<|>\"Christmas\"<|>\"event\"<|>\"Christmas represents a time of joy and giving, contrasting sharply with Scrooge's cold demeanor.\")##\n(\"entity\"<|>\"The Warehouse\"<|>\"organization\"<|>\"The Warehouse is the place of business shared by Scrooge and Marley, a symbol of their partnership in life and business.\")##\n(\"relationship\"<|>\"Fezziwig\"<|>\"Scrooge\"<|>\"Fezziwig represents the joyful side of business and celebration, contrasting with Scrooge's miserly nature and serving as a foil to Scrooge's character development.\"<|>\"contrast, character foil\"<|>8)##\n(\"relationship\"<|>\"Scrooge\"<|>\"Marley\"<|>\"Scrooge and Marley were business partners, and Marley's death greatly impacts Scrooge, highlighting themes of loss and regret.\"<|>\"partnership, regret\"<|>9)##\n(\"relationship\"<|>\"Scrooge\"<|>\"Fred\"<|>\"Fred attempts to reach out to Scrooge for family connections, representing the warmth of familial love against Scrooge's coldness.\"<|>\"family ties, contrast\"<|>7)##\n(\"relationship\"<|>\"Scrooge\"<|>\"Christmas\"<|>\"Scrooge's attitude towards Christmas is one of disdain, setting the stage for his eventual transformation as he confronts the meaning of the holiday.\"<|>\"transformation, disdain\"<|>10)##\n(\"relationship\"<|>\"Scrooge\"<|>\"The Warehouse\"<|>\"The Warehouse symbolizes Scrooge's business practices and his partnership with Marley, shaping his character's motivations.\"<|>\"business partnership, character motivation\"<|>8)##\n(\"content_keywords\"<|>\"transformation, Christmas spirit, greed, familial connections\")<|COMPLETE|>", - "model": "gpt-4o-mini" - }, - "371f793d5f1464f976f67054a62f95be": { - "return": "(\"entity\"<|>\"Scrooge\"<|>\"person\"<|>\"Scrooge is a central character who experiences a journey of reflection and change, highlighted by his interactions with the Ghost and memories of his past.\")##\n(\"entity\"<|>\"Fan\"<|>\"person\"<|>\"Fan is Scrooge's younger sister, who brings joy and the promise of a happier home, reflecting on their childhood relationship.\")##\n(\"entity\"<|>\"Fezziwig\"<|>\"person\"<|>\"Fezziwig is presented as Scrooge's former employer, known for his jovial nature and generous spirit, who plays a significant role in Scrooge's memories.\")##\n(\"entity\"<|>\"Dick Wilkins\"<|>\"person\"<|>\"Dick Wilkins is Scrooge's fellow apprentice, associated with Scrooge's past and the context of his earlier, more carefree life.\")##\n(\"entity\"<|>\"Christmas-time\"<|>\"event\"<|>\"Christmas-time symbolizes a period of joy and reunion, characterized by scenes of celebration and warmth in the story.\")##\n(\"entity\"<|>\"The City\"<|>\"geo\"<|>\"The City represents the bustling urban environment where Scrooge's memories unfold, highlighting the contrast between his past and present.\")##\n(\"relationship\"<|>\"Scrooge\"<|>\"Fan\"<|>\"Scrooge and Fan share a sibling bond, with Fan representing innocence and happiness from their childhood, which evokes fond memories for Scrooge.\"<|>\"sibling bond, nostalgia\"<|>8)##\n(\"relationship\"<|>\"Scrooge\"<|>\"Fezziwig\"<|>\"Fezziwig is a significant figure in Scrooge's past, illustrating a contrast between Scrooge's current miserly demeanor and Fezziwig's jovial nature.\"<|>\"mentor figure, positive influence\"<|>9)##\n(\"relationship\"<|>\"Fezziwig\"<|>\"Dick Wilkins\"<|>\"Fezziwig and Dick Wilkins are connected through their roles in Scrooge's past, representing camaraderie and joyful experiences at work.\"<|>\"apprenticeship, camaraderie\"<|>7)##\n(\"relationship\"<|>\"Scrooge\"<|>\"Dick Wilkins\"<|>\"Scrooge and Dick Wilkins share memories of their apprenticeship, highlighting Scrooge's transformation from a young man to his current state.\"<|>\"shared history, transformation\"<|>7)##\n(\"relationship\"<|>\"Scrooge\"<|>\"Christmas-time\"<|>\"Scrooge's experiences during Christmas-time reflect his internal struggles and the possibility of redemption and joy.\"<|>\"redemption, celebration\"<|>10)##\n(\"relationship\"<|>\"Scrooge\"<|>\"The City\"<|>\"The City serves as a backdrop for Scrooge's memories, contrasting the vibrant life he once had with his current isolation.\"<|>\"urban setting, contrast\"<|>8)##\n(\"content_keywords\"<|>\"nostalgia, transformation, redemption, family, memory\")<|COMPLETE|>", - "model": "gpt-4o-mini" - }, - "6e7abc6cb791cadb58d046d26a7e09bd": { - "return": "(\"entity\"<|>\"The Chain\"<|>\"concept\"<|>\"The Chain represents the burdens of greed and the consequences of one's actions, worn by Marley's Ghost as a physical manifestation of his regrets.\")## \n(\"entity\"<|>\"The Heavy Door\"<|>\"concept\"<|>\"The Heavy Door symbolizes the threshold between life and death, as well as the barriers between Scrooge and the supernatural world.\")## \n(\"entity\"<|>\"The Dying Flame\"<|>\"event\"<|>\"The Dying Flame signifies the waning spirit of Scrooge, momentarily invigorated by the arrival of the ghost as a metaphor for his fading humanity.\")## \n(\"entity\"<|>\"The Spectre\"<|>\"concept\"<|>\"The Spectre refers to the ghostly presence of Marley that embodies the themes of haunting and reflection on one's life choices.\")## \n(\"entity\"<|>\"Infernal Atmosphere\"<|>\"concept\"<|>\"The Infernal Atmosphere refers to the unsettling environment surrounding Marley's Ghost, indicating the discomfort and fear associated with his presence.\")## \n(\"entity\"<|>\"The Chair\"<|>\"concept\"<|>\"The Chair represents the symbol of comfort and safety that Scrooge clings to while facing the terrifying apparition.\")## \n(\"entity\"<|>\"The Vision\"<|>\"concept\"<|>\"The Vision refers to the haunting imagery that Scrooge perceives, reflecting his inner turmoil and conflict with reality.\")## \n(\"entity\"<|>\"The Bandage\"<|>\"concept\"<|>\"The Bandage represents the ghost's attempt to maintain semblance in his appearance while revealing his true ghostly form.\")## \n(\"content_keywords\"<|>\"burdens, reality, fear, haunting\")<|COMPLETE|>", - "model": "gpt-4o-mini" - }, - "a12fea2b0950a92bbc46978364cb351b": { - "return": "(\"entity\"<|>\"Ebenezer Scrooge\"<|>\"person\"<|>\"Ebenezer Scrooge is the main character who experiences a profound transformation through his encounters with supernatural entities.\")##\n(\"entity\"<|>\"Holly\"<|>\"concept\"<|>\"Holly is a symbol held by The Ghost, representing peace and goodwill, contrasting with the cold wintry atmosphere around Scrooge.\")##\n(\"entity\"<|>\"Light\"<|>\"concept\"<|>\"Light is a prominent feature associated with The Ghost, symbolizing knowledge and revelation, illuminating the darkness of Scrooge's ignorance.\")##\n(\"entity\"<|>\"Winter\"<|>\"geo\"<|>\"Winter represents the cold and bleak environment that surrounds Scrooge during his nighttime encounters with the supernatural.\")##\n(\"entity\"<|>\"The Dressing-Gown\"<|>\"organization\"<|>\"The Dressing-Gown is worn by Scrooge, symbolizing his state of vulnerability and introspection as he grapples with profound ideas in the narrative.\")##\n(\"entity\"<|>\"Fog\"<|>\"geo\"<|>\"Fog represents the obscured visibility and confusion in Scrooge's surroundings, enhancing the atmosphere of uncertainty and apprehension.\")##\n(\"entity\"<|>\"Tunic\"<|>\"concept\"<|>\"The Tunic is part of The Ghost's attire, signifying purity and heavenly qualities in contrast to Scrooge's current state.\")##\n(\"entity\"<|>\"Bell\"<|>\"event\"<|>\"The Bell signifies the passage of time and is crucial in alerting Scrooge to the hour of visitation by The Ghost.\")##\n(\"entity\"<|>\"Clock's Strike\"<|>\"event\"<|>\"The Clock's Strike is an event marking significant moments throughout the narrative, emphasizing the theme of time.\")##\n(\"entity\"<|>\"Dream\"<|>\"concept\"<|>\"Dream refers to Scrooge's mental conflict regarding whether the spectral encounters are real or figments of his imagination.\")## \n(\"entity\"<|>\"Ding Dong\"<|>\"event\"<|>\"Ding Dong represents the sound of the clock chimes, anchoring the reader in time and emphasizing the moments of realization for Scrooge.\")##\n(\"entity\"<|>\"Time\"<|>\"concept\"<|>\"Time is a central theme, with characters reflecting on its passage and significance in relation to life and revelations.\")## \n(\"content_keywords\"<|>\"supernatural, transformation, time, light, confusion\")<|COMPLETE|>", - "model": "gpt-4o-mini" - }, - "c9eb60dd2dad7cb53bc8d800adce5f9e": { - "return": "(\"entity\"<|>\"The Poor\"<|>\"person\"<|>\"The Poor refer to those individuals in society who face economic hardship and are in need of help, as indicated by their absence from the workhouses and their desperate circumstances during the festive season.\")##\n(\"entity\"<|>\"Scrooge's Counting-House\"<|>\"location\"<|>\"Scrooge's Counting-House is the workspace of Scrooge where he conducts his business, symbolizing his frugality and solitary nature.\")##\n(\"entity\"<|>\"The Lord Mayor\"<|>\"person\"<|>\"The Lord Mayor oversees the festivities during Christmas at the Mansion House, representing authority and public celebration.\")##\n(\"entity\"<|>\"Christmas Pudding\"<|>\"event\"<|>\"Christmas Pudding is a dish being prepared for the festive celebration, embodying the spirit of Christmas and family gatherings.\")##\n(\"entity\"<|>\"The Gas-Pipes\"<|>\"organization\"<|>\"The Gas-Pipes represent the infrastructure of the city, which signifies the industrial and economic activity during the cold winter season.\")##\n(\"entity\"<|>\"The Church\"<|>\"organization\"<|>\"The Church is a place referenced in the context of the community's sentiments toward Christmas and social welfare.\")##\n(\"entity\"<|>\"The Cratchit Family\"<|>\"organization\"<|>\"The Cratchit Family represents a typical struggling family in the text, highlighting the theme of social disparity during Christmas.\")##\n(\"content_keywords\"<|>\"social disparity, festive spirit, community engagement, economic hardship\")<|COMPLETE|>", - "model": "gpt-4o-mini" - }, - "bae4242e365dca1a912909924d66b12b": { - "return": "(\"entity\"<|>\"Beggars\"<|>\"person\"<|>\"Beggars are individuals who implore Scrooge for charity, symbolizing the lack of compassion and generosity in his character.\")##\n(\"entity\"<|>\"Children\"<|>\"person\"<|>\"Children represent innocence and joy, often seen as seeking affection and connection with adults like Scrooge.\")##\n(\"entity\"<|>\"Cold Weather\"<|>\"geo\"<|>\"Cold Weather sets the bleak and unforgiving atmosphere, reflecting Scrooge’s own personality and state of mind.\")##\n(\"entity\"<|>\"Fog\"<|>\"geo\"<|>\"Fog represents the obscurity and isolation in the environment, mirroring Scrooge’s emotional distance and isolation from society.\")##\n(\"entity\"<|>\"Court\"<|>\"geo\"<|>\"The Court is a location described as a space outside Scrooge's office where people pass by, emphasizing the contrast between Scrooge's inside world and the outside social interactions.\")##\n(\"relationship\"<|>\"Scrooge\"<|>\"Beggars\"<|>\"Beggars do not seek help from Scrooge due to his reputation, highlighting his inability to connect and empathize with those in need.\"<|>\"lack of compassion, social isolation\"<|>6)##\n(\"relationship\"<|>\"Scrooge\"<|>\"Children\"<|>\"Scrooge's indifference towards children shows his emotional coldness and detachment from the joyous aspects of life.\"<|>\"emotional detachment, joy\"<|>5)##\n(\"relationship\"<|>\"Cold Weather\"<|>\"Scrooge\"<|>\"The cold weather reflects Scrooge's icy demeanor, emphasizing his negative attitude towards life and others.\"<|>\"atmosphere, personality mirror\"<|>9)##\n(\"relationship\"<|>\"Fog\"<|>\"Scrooge\"<|>\"The fog obscures vision and symbolizes Scrooge’s cloudy outlook on life, illustrating his isolation from societal warmth.\"<|>\"obscurity, isolation\"<|>8)##\n(\"relationship\"<|>\"Court\"<|>\"Scrooge\"<|>\"The court serves as a contrasting backdrop to Scrooge’s private space, where social warmth and interaction occur, which he actively avoids.\"<|>\"social contrast, isolation\"<|>7)## \n<|COMPLETE|>", - "model": "gpt-4o-mini" - }, - "749b6e8b484fd12302eff82136755095": { - "return": "(\"entity\"<|>\"Project Gutenberg\"<|>\"organization\"<|>\"Project Gutenberg is an organization that provides free eBooks, promoting accessibility to literature without restrictions.\")##\n(\"entity\"<|>\"A Christmas Carol\"<|>\"event\"<|>\"A Christmas Carol is a famous novella by Charles Dickens that tells the story of Ebenezer Scrooge's transformation and redemption, particularly around the Christmas season.\")##\n(\"entity\"<|>\"Charles Dickens\"<|>\"person\"<|>\"Charles Dickens is the author of A Christmas Carol, a prominent English writer known for his literary contributions in the 19th century.\")##\n(\"entity\"<|>\"Arthur Rackham\"<|>\"person\"<|>\"Arthur Rackham is the illustrator of A Christmas Carol, renowned for his distinctive style in illustrating classic literature.\")##\n(\"entity\"<|>\"Ebenezer Scrooge\"<|>\"person\"<|>\"Ebenezer Scrooge is the main character of A Christmas Carol, depicted as a miserly and cold-hearted man who undergoes a significant transformation.\")##\n(\"entity\"<|>\"Bob Cratchit\"<|>\"person\"<|>\"Bob Cratchit is a clerk in the employ of Ebenezer Scrooge, characterized by his kindness and struggles to support his family.\")##\n(\"entity\"<|>\"Tiny Tim\"<|>\"person\"<|>\"Tiny Tim, whose real name is Tim Cratchit, is Bob Cratchit's youngest son, known for his frail health and optimistic outlook.\")##\n(\"entity\"<|>\"Mr. Fezziwig\"<|>\"person\"<|>\"Mr. Fezziwig is a kind-hearted merchant and former employer of Scrooge, representing joy and generosity in contrast to Scrooge's character.\")##\n(\"entity\"<|>\"Ghost of Christmas Past\"<|>\"event\"<|>\"The Ghost of Christmas Past is one of the spirits in A Christmas Carol that shows Scrooge his past, prompting reflection and change.\")##\n(\"entity\"<|>\"Ghost of Christmas Present\"<|>\"event\"<|>\"The Ghost of Christmas Present is a spirit that reveals the current struggles and joys of others, influencing Scrooge's perspective.\")##\n(\"entity\"<|>\"Ghost of Christmas Yet to Come\"<|>\"event\"<|>\"The Ghost of Christmas Yet to Come is a foreboding spirit that shows Scrooge the potential consequences of his actions if he does not change.\")##\n(\"relationship\"<|>\"Project Gutenberg\"<|>\"A Christmas Carol\"<|>\"Project Gutenberg provides A Christmas Carol as a free eBook, facilitating access to this literary work.\"<|>\"accessibility, literature promotion\"<|>8)##\n(\"relationship\"<|>\"Charles Dickens\"<|>\"A Christmas Carol\"<|>\"Charles Dickens is the author of A Christmas Carol, whose writing has had a lasting impact on literature.\"<|>\"authorship, literary impact\"<|>9)##\n(\"relationship\"<|>\"Arthur Rackham\"<|>\"A Christmas Carol\"<|>\"Arthur Rackham illustrated A Christmas Carol, enhancing the storytelling through visual art.\"<|>\"illustration, artistic enhancement\"<|>8)##\n(\"relationship\"<|>\"Ebenezer Scrooge\"<|>\"Bob Cratchit\"<|>\"Ebenezer Scrooge is Bob Cratchit's employer, representing a dynamic of power and struggle in their relationship.\"<|>\"employment, power dynamics\"<|>6)##\n(\"relationship\"<|>\"Bob Cratchit\"<|>\"Tiny Tim\"<|>\"Bob Cratchit is the father of Tiny Tim, showcasing familial love and challenges faced by the Cratchit family.\"<|>\"family, love struggles\"<|>8)##\n(\"relationship\"<|>\"Mr. Fezziwig\"<|>\"Ebenezer Scrooge\"<|>\"Mr. Fezziwig represents a contrast to Ebenezer Scrooge's character, showing kindness and generosity in business.\"<|>\"contrast, influence\"<|>7)##\n(\"relationship\"<|>\"Scrooge\"<|>\"Ghost of Christmas Past\"<|>\"The Ghost of Christmas Past shows Scrooge experiences from his life that prompt his transformation.\"<|>\"reflection, transformation\"<|>9)##\n(\"relationship\"<|>\"Scrooge\"<|>\"Ghost of Christmas Present\"<|>\"The Ghost of Christmas Present reveals the realities of others' lives, influencing Scrooge's understanding of generosity and compassion.\"<|>\"awareness, compassion\"<|>8)##\n(\"relationship\"<|>\"Scrooge\"<|>\"Ghost of Christmas Yet to Come\"<|>\"The Ghost of Christmas Yet to Come presents a foreboding vision of Scrooge's future, driving home the need for personal change.\"<|>\"forewarning, change\"<|>10)##\n(\"content_keywords\"<|>\"literary classic, transformation, Christmas, moral lessons\")<|COMPLETE|>", - "model": "gpt-4o-mini" - }, - "79025ceaa057a92c5332b421afa95ac8": { - "return": "(\"entity\"<|>\"Boys\"<|>\"person\"<|>\"The boys are depicted as cheerful characters riding ponies, contributing to the joyful atmosphere and memories of Scrooge's past.\")##\n(\"entity\"<|>\"Shaggy Ponies\"<|>\"geo\"<|>\"Shaggy ponies are mentioned as part of the scene, representing the innocent and playful aspects of Scrooge's childhood.\")##\n(\"entity\"<|>\"Bridge\"<|>\"geo\"<|>\"The bridge is a landmark in the market-town that Scrooge recognizes from his childhood, symbolizing a connection to his past.\")##\n(\"entity\"<|>\"Church\"<|>\"geo\"<|>\"The church is another landmark in the market-town representing tradition and community significant to Scrooge's memories.\")##\n(\"entity\"<|>\"Winding River\"<|>\"geo\"<|>\"The winding river is part of the landscape Scrooge recalls, tying into his emotions of nostalgia and remembrance of home.\")##\n(\"relationship\"<|>\"Scrooge\"<|>\"Boys\"<|>\"Scrooge feels joy upon seeing the boys, evoking memories of childhood experiences and emotions associated with them.\"<|>\"joy, childhood memories\"<|>7)##\n(\"relationship\"<|>\"Boys\"<|>\"Shaggy Ponies\"<|>\"The boys interact with the shaggy ponies, highlighting the carefree and playful nature of youth in Scrooge's memories.\"<|>\"playfulness, childhood\"<|>6)##\n(\"relationship\"<|>\"Scrooge\"<|>\"Bridge\"<|>\"The bridge serves as a significant landmark in Scrooge's past, reminding him of his childhood and former happiness.\"<|>\"memory, landmark\"<|>7)##\n(\"relationship\"<|>\"Scrooge\"<|>\"Church\"<|>\"The church symbolizes the community and settings of Scrooge's past, highlighting the contrast between then and now.\"<|>\"community, contrast\"<|>8)##\n(\"relationship\"<|>\"Scrooge\"<|>\"Winding River\"<|>\"The winding river evokes memories and emotions for Scrooge, connecting him to his past experiences and places.\"<|>\"nostalgia, memory\"<|>8)##\n(\"relationship\"<|>\"Ghost of Christmas Past\"<|>\"Scrooge's memories\"<|>\"The Ghost facilitates Scrooge's recollection of his memories, allowing him to confront his past choices.\"<|>\"memory, confrontation\"<|>9)##\n<|COMPLETE|>", - "model": "gpt-4o-mini" - }, - "4676e3d9051dc96688f1e0f2f268a10a": { - "return": "(\"entity\"<|>\"The Bell\"<|>\"geo\"<|>\"The Bell is a disused bell in Scrooge's room, which begins to swing and rings out loudly, heralding the appearance of Marley's Ghost.\")##\n(\"entity\"<|>\"The Wine-Merchant's Cellar\"<|>\"geo\"<|>\"The Wine-Merchant's Cellar is a location within The House where sounds of dragging chains are heard, signifying a haunted presence.\")##\n(\"entity\"<|>\"The Dying Flame\"<|>\"concept\"<|>\"The Dying Flame represents the fear and uncertainty in Scrooge as it reacts to the presence of Marley’s Ghost, adding to the eerie atmosphere.\")##\n(\"entity\"<|>\"The Grate\"<|>\"geo\"<|>\"The Grate is a small fire in Scrooge's room that provides meager warmth, symbolizing Scrooge's cold disposition.\")##\n(\"entity\"<|>\"Scrooge's Dressing-Gown\"<|>\"concept\"<|>\"Scrooge's Dressing-Gown represents his reluctance to engage with the world outside, emphasizing his isolation and contentment with solitude.\")##\n(\"entity\"<|>\"Grue\"<|>\"geo\"<|>\"Grue is the small saucepan of gruel prepared by Scrooge, indicating his minimalistic lifestyle and frugality.\")##\n(\"entity\"<|>\"The Heavy Chain\"<|>\"concept\"<|>\"The Heavy Chain is associated with the dragging noise heard by Scrooge, symbolizing the burdens of his past actions.\")##\n(\"entity\"<|>\"The Cask\"<|>\"geo\"<|>\"The Cask is part of the sounds emerging from the cellar, contributing to the eerie atmosphere surrounding Marley’s Ghost.\")##\n(\"relationship\"<|>\"Scrooge\"<|>\"The Bell\"<|>\"The Bell's unexpected ringing is associated with the appearance of Marley’s Ghost, enhancing the supernatural events in The House.\"<|>\"supernatural event, signaling\"<|>7)##\n(\"relationship\"<|>\"Marley\"<|>\"The Heavy Chain\"<|>\"The Heavy Chain is linked to Marley as it suggests the burdens he carries from his earthly life, which he now haunts Scrooge with.\"<|>\"burden, consequence\"<|>9)##\n(\"relationship\"<|>\"Scrooge\"<|>\"The Wine-Merchant's Cellar\"<|>\"Scrooge hears the dragging chains from The Wine-Merchant's Cellar, indicating that the haunting presence is felt throughout The House.\"<|>\"atmosphere, haunting\"<|>8)##\n(\"relationship\"<|>\"Scrooge\"<|>\"The Grate\"<|>\"Scrooge's small fire in The Grate represents his need for warmth and symbolizes his cold heart initially showing longing for comfort.\"<|>\"coldness, minimalism\"<|>6)##\n(\"relationship\"<|>\"Scrooge\"<|>\"The Dying Flame\"<|>\"The Dying Flame's flickering is reflective of Scrooge's fear and mental state in the presence of the ghost, amplifying his internal conflict.\"<|>\"fear, conflict\"<|>8)##\n(\"content_keywords\"<|>\"isolation, haunting, redemption, supernatural presence\")<|COMPLETE|>", - "model": "gpt-4o-mini" - }, - "ed426a7ebb0505cc3d8687f90a7af0f0": { - "return": "(\"entity\"<|>\"Marley's Ghost\"<|>\"person\"<|>\"Marley's Ghost is the spectral figure of Jacob Marley, who appears to forewarn Scrooge about his fate and the necessity of change in his life.\")##\n(\"entity\"<|>\"The Window\"<|>\"geo\"<|>\"The Window is a physical presence in Scrooge's chamber that he approaches to observe the supernatural occurrences outside.\")##\n(\"entity\"<|>\"The Church\"<|>\"geo\"<|>\"The Church is a location from where the clock chimes are heard, marking the passage of time and contributing to the atmosphere of the scene.\")##\n(\"entity\"<|>\"The Clock\"<|>\"geo\"<|>\"The Clock serves as a symbol of time passing, reflecting Scrooge's disorientation regarding time as he transitions between reality and the supernatural.\")##\n(\"entity\"<|>\"The Chain\"<|>\"concept\"<|>\"The Chain represents the burdens of regret and guilt that haunt Marley and serve as a warning to Scrooge about the consequences of a life poorly lived.\")##\n(\"entity\"<|>\"The Darkness\"<|>\"concept\"<|>\"The Darkness symbolizes the confusion and the unknown that envelops Scrooge as he faces the reality of his past, present, and future.\")##\n(\"relationship\"<|>\"Scrooge\"<|>\"Marley's Ghost\"<|>\"Scrooge reacts to Marley's Ghost, reflecting on his past as he is warned about the consequences of his actions.\"<|>\"reflection, consequence\"<|>8)##\n(\"relationship\"<|>\"Scrooge\"<|>\"The Window\"<|>\"Scrooge approaches The Window, which acts as a portal to the outside world and the supernatural, illustrating his curiosity and fear.\"<|>\"curiosity, fear\"<|>5)##\n(\"relationship\"<|>\"Marley's Ghost\"<|>\"The Chain\"<|>\"Marley's Ghost is bound by The Chain, which symbolizes his regrets and serves as a warning to Scrooge about the consequences of his own actions.\"<|>\"regret, warning\"<|>9)##\n(\"relationship\"<|>\"Scrooge\"<|>\"The Clock\"<|>\"Scrooge's awareness of time is challenged by The Clock, reflecting his confusion and the urgency of his situation.\"<|>\"disorientation, urgency\"<|>7)##\n(\"relationship\"<|>\"Scrooge\"<|>\"The Darkness\"<|>\"Scrooge finds himself enveloped by The Darkness, representing his internal struggle and the unknown future he faces.\"<|>\"internal struggle, unknown\"<|>6)##\n(\"content_keywords\"<|>\"consequence, time, struggle, supernatural warnings\")<|COMPLETE|>", - "model": "gpt-4o-mini" - }, - "3ea04f2c61dd6ac327f22803cc4f16d7": { - "return": "(\"entity\"<|>\"Clerk\"<|>\"person\"<|>\"The Clerk is a minor character who provides a contrast to Scrooge's character, expressing warmth and kindness during the holiday season.\")##\n(\"entity\"<|>\"The Gentlemen\"<|>\"organization\"<|>\"The Gentlemen are portrayed as representatives who arrive at Scrooge's office to collect donations for the poor during Christmas.\")##\n(\"entity\"<|>\"Poor and Destitute\"<|>\"concept\"<|>\"The Poor and Destitute refer to those in need, highlighting the themes of charity and social responsibility that are emphasized during the Christmas season.\")##\n(\"entity\"<|>\"Christmas-Time\"<|>\"event\"<|>\"Christmas-Time refers to the period surrounding Christmas, laden with connotations of joy, generosity, and family gatherings, which Scrooge vehemently criticizes.\")##\n(\"entity\"<|>\"Bedlam\"<|>\"geo\"<|>\"Bedlam is referenced as a metaphorical expression of madness, illustrating Scrooge's disdain for cheerful attitudes he finds absurd.\")##\n(\"relationship\"<|>\"Scrooge\"<|>\"Clerk\"<|>\"Scrooge's Clerk represents a contrasting viewpoint to Scrooge's own, showcasing a degree of warmth that Scrooge actively dismisses.\" <|>\"contrast, workplace dynamics\"<|>5)##\n(\"relationship\"<|>\"The Gentlemen\"<|>\"Scrooge\"<|>\"The Gentlemen approach Scrooge about donations for the poor, representing a charitable campaign that he strongly resists.\" <|>\"charity, social responsibility\"<|>8)##\n(\"relationship\"<|>\"Scrooge\"<|>\"Poor and Destitute\"<|>\"Scrooge's reluctance to support the Poor and Destitute highlights his miserly nature and his antagonism toward societal responsibility.\" <|>\"miserliness, social neglect\"<|>7)##\n(\"relationship\"<|>\"Scrooge's Nephew\"<|>\"Christmas-Time\"<|>\"Scrooge's Nephew celebrates Christmas-Time as a period for kindness and charity, clashing with Scrooge's cynical view.\" <|>\"celebration, family dynamics\"<|>8)##\n(\"relationship\"<|>\"Scrooge\"<|>\"Bedlam\"<|>\"Scrooge invokes the concept of Bedlam to express his disbelief and frustration at the cheerfulness of others, implying a disdain for societal norms.\" <|>\"disdain, societal norms\"<|>6)##\n(\"content_keywords\"<|>\"charity, social responsibility, contrasting characters, holiday cheer\")<|COMPLETE|>", - "model": "gpt-4o-mini" - }, - "28a3f1cc7c3c190365ca81af69227551": { - "return": "(\"entity\"<|>\"The Two Apprentices\"<|>\"person\"<|>\"The Two Apprentices are characters present at the Domestic Ball, who express gratitude and admiration for Fezziwig after the event.\")##\n(\"entity\"<|>\"The Clock\"<|>\"concept\"<|>\"The Clock signifies the passage of time during the Domestic Ball and plays a role in marking the end of the celebration.\")##\n(\"entity\"<|>\"The Spirit\"<|>\"concept\"<|>\"The Spirit represents a guiding force encouraging Scrooge to introspect on his past and recognize the value of happiness.\")##\n(\"entity\"<|>\"The Golden Idol\"<|>\"concept\"<|>\"The Golden Idol symbolizes materialism and the pursuit of wealth, indicating a shift in Scrooge's values over time.\")##\n(\"entity\"<|>\"The Prime of Life\"<|>\"event\"<|>\"The Prime of Life refers to a phase in Scrooge's youth when he was more carefree before becoming hardened by greed.\")##\n(\"entity\"<|>\"The Mourning Dress\"<|>\"concept\"<|>\"The Mourning Dress symbolizes loss and separation, highlighting the emotional distance between Scrooge and his former love.\")##\n(\"relationship\"<|>\"Fezziwig\"<|>\"The Two Apprentices\"<|>\"Fezziwig is celebrated and appreciated by The Two Apprentices for creating a joyful atmosphere during the Domestic Ball.\"<|>\"appreciation, mentorship\"<|>8)##\n(\"relationship\"<|>\"Scrooge\"<|>\"The Spirit\"<|>\"Scrooge's interaction with The Spirit serves as a pivotal moment for him to reflect on his past decisions and seek wisdom.\"<|>\"introspection, guidance\"<|>9)##\n(\"relationship\"<|>\"Scrooge\"<|>\"The Golden Idol\"<|>\"The Golden Idol represents the materialistic pursuits that have displaced meaningful connections in Scrooge's life.\"<|>\"materialism, lost connections\"<|>10)##\n(\"relationship\"<|>\"Scrooge\"<|>\"The Mourning Dress\"<|>\"The Mourning Dress symbolizes Scrooge's unfulfilled relationships and the emotional consequences of his choices.\"<|>\"loss, emotional distance\"<|>8)##\n(\"relationship\"<|>\"Scrooge\"<|>\"The Prime of Life\"<|>\"Scrooge reflects on his Prime of Life, contrasting it with his current state and the sacrifices he has made for wealth.\"<|>\"reflection, life choices\"<|>9)##\n(\"content_keywords\"<|>\"mentorship, materialism, emotional loss, life choices\")<|COMPLETE|>", - "model": "gpt-4o-mini" - }, - "c36f042701abbe3edb6ef5bee488deac": { - "return": "(\"entity\"<|>\"Joe\"<|>\"person\"<|>\"Joe is a character who interacts with others, demonstrating a sense of curiosity and disbelief regarding certain situations and comments.\")##\n(\"entity\"<|>\"The Woman\"<|>\"person\"<|>\"The Woman engages in conversation with Joe, providing light-hearted responses and laughing at the absurdity of their discussions.\")##\n(\"entity\"<|>\"Tim\"<|>\"person\"<|>\"Tim is mentioned as someone important to Scrooge, indicating familial ties and possibly evoking sympathy and regret from Scrooge's character.\")##\n(\"entity\"<|>\"The Lace Tucker\"<|>\"event\"<|>\"The Lace Tucker is a small event within the text, illustrating moments of humor and social interactions among characters.\")##\n(\"entity\"<|>\"Old Scrooge\"<|>\"person\"<|>\"Old Scrooge represents an earlier version of Scrooge, depicted in memories or recollections and emphasizing his character's history.\")##\n(\"entity\"<|>\"The Funeral\"<|>\"event\"<|>\"The Funeral of Marley is a significant event that highlights Scrooge's relationship with Marley and sets the tone for their partnership and Scrooge's eventual path.\")##\n(\"relationship\"<|>\"Joe\"<|>\"The Woman\"<|>\"Joe and The Woman engage in a conversation, highlighting community dynamics and common social interactions among friends or acquaintances.\"<|>\"social interaction, community dynamics\"<|>6)##\n(\"relationship\"<|>\"Scrooge\"<|>\"Tim\"<|>\"Scrooge's connection to Tim emphasizes emotional depth, reflecting on family and lost connections as part of his character development.\"<|>\"familial connection, emotional depth\"<|>8)##\n(\"relationship\"<|>\"Scrooge\"<|>\"Old Scrooge\"<|>\"Scrooge's history is revealed through the mention of Old Scrooge, indicating his past beliefs and practices that shape his current persona.\"<|>\"character history, development\"<|>7)##\n(\"relationship\"<|>\"Marley's Funeral\"<|>\"Scrooge\"<|>\"Marley's Funeral signifies the beginning of Scrooge's emotional journey, showcasing his reaction to loss and setting the stage for the narrative.\"<|>\"loss, character journey\"<|>9)##\n(\"content_keywords\"<|>\"social interaction, character history, emotional journey, community\")<|COMPLETE|>", - "model": "gpt-4o-mini" - }, - "4f2f2afd0cd2e46079661b43ae172655": { - "return": "(\"entity\"<|>\"Eternal Chain\"<|>\"concept\"<|>\"The Eternal Chain represents the burdens and consequences of one's actions in life, symbolizing the weight of regret carried by the Ghost.\")##\n(\"entity\"<|>\"Counting-house\"<|>\"location\"<|>\"The Counting-house is the place where Scrooge conducted his business and represents the limitations of his previous life.\")##\n(\"entity\"<|>\"Star\"<|>\"geo\"<|>\"The Star symbolizes guidance and hope, referenced in connection with the Wise Men, representing the potential for enlightenment and moral direction.\")##\n(\"entity\"<|>\"Wise Men\"<|>\"person\"<|>\"The Wise Men are figures who followed the Star to bring gifts, embodying the values of recognition and generosity that Scrooge has neglected.\")##\n(\"entity\"<|>\"Fellow-beings\"<|>\"concept\"<|>\"Fellow-beings are the people whom Scrooge ignored in life, representing the importance of community and connection.\")##\n(\"entity\"<|>\"Christmas Spirit\"<|>\"concept\"<|>\"The Christmas Spirit represents the ideals of generosity and kindness associated with the holiday season, which the Ghost encourages Scrooge to embrace.\")##\n(\"entity\"<|>\"Spectre\"<|>\"person\"<|>\"The Spectre is another term for the Ghost, representing a manifestation of guilt and the need for change in Scrooge's life.\")##\n(\"relationship\"<|>\"Ghost\"<|>\"Eternal Chain\"<|>\"The Ghost describes the Eternal Chain as a symbol of the burdens he carries due to his life choices, emphasizing the consequences of neglecting humanity.\"<|>\"burden, regret\"<|>9)##\n(\"relationship\"<|>\"Scrooge\"<|>\"Counting-house\"<|>\"Scrooge reflects on his life spent in the Counting-house, which represents his previous priorities focused on business over personal connections.\"<|>\"reflection, priorities\"<|>8)##\n(\"relationship\"<|>\"Star\"<|>\"Wise Men\"<|>\"The Star guided the Wise Men to recognize the importance of giving, which relates to the values that the Ghost tries to impart to Scrooge.\"<|>\"guidance, generosity\"<|>7)##\n(\"relationship\"<|>\"Scrooge\"<|>\"Fellow-beings\"<|>\"Scrooge is confronted with his past choices to ignore Fellow-beings, leading to a realization of his moral failures.\"<|>\"neglect, realization\"<|>8)##\n(\"relationship\"<|>\"Ghost\"<|>\"Christmas Spirit\"<|>\"The Ghost embodies the Christmas Spirit's values of compassion and kindness, urging Scrooge to reconsider his way of living.\"<|>\"values, transformation\"<|>9)##\n(\"relationship\"<|>\"Spectre\"<|>\"Ghost\"<|>\"The Spectre is synonymous with the Ghost, representing the collective spirit urging Scrooge to change his ways.\"<|>\"identity, motivation\"<|>10)##\n<|COMPLETE|>", - "model": "gpt-4o-mini" - }, - "d5206a48e38c2eb34781a9e451a6fe0f": { - "return": "(\"entity\"<|>\"The Ghost\"<|>\"concept\"<|>\"The Ghost represents a spectral figure guiding Scrooge through his past, serving as a catalyst for self-reflection and transformation.\")##\n(\"entity\"<|>\"Home\"<|>\"concept\"<|>\"Home symbolizes warmth, safety, and family connection, representing what Scrooge yearns for but has lost in his life.\")##\n(\"entity\"<|>\"Coach\"<|>\"concept\"<|>\"The Coach is a means of transport that signifies the transition from Scrooge's lonely past to the possibility of companionship and warmth.\")##\n(\"entity\"<|>\"Christmas\"<|>\"event\"<|>\"Christmas signifies a time of joy, reunion, and reflection, central to the theme of redemption in Scrooge's journey.\")##\n(\"entity\"<|>\"The School\"<|>\"organization\"<|>\"The School represents the institutional aspect of Scrooge's childhood, contrasting with the warmth and love represented by Fan.\")##\n(\"entity\"<|>\"Cold\"<|>\"concept\"<|>\"Cold symbolizes the emotional detachment and isolation present in Scrooge's life, contrasting with the warmth of family and connection that he longs for.\")##\n(\"entity\"<|>\"Evening\"<|>\"event\"<|>\"Evening represents a time of transition and reflection as Scrooge recalls his past and seeks transformation.\")##\n(\"entity\"<|>\"The Party\"<|>\"event\"<|>\"The Party refers to festive gatherings that Fezziwig hosts, showcasing joy and camaraderie during the Christmas season.\")##\n(\"entity\"<|>\"The Warehouse\"<|>\"organization\"<|>\"The Warehouse serves as the setting for Scrooge's memories of Fezziwig's jovial nature and the lively gatherings during his apprenticeship.\")##\n(\"entity\"<|>\"The Children\"<|>\"person\"<|>\"The Children serve as symbols of innocence and joy, representing the untainted happiness of childhood that Scrooge longs to reconnect with.\")##\n(\"entity\"<|>\"A Coach to Bring You Home\"<|>\"concept\"<|>\"A Coach to Bring You Home symbolizes the hope and opportunity for reconnection and warmth in Scrooge's life.\")##\n(\"content_keywords\"<|>\"self-reflection, family, childhood memories, joy, emotional warmth\")<|COMPLETE|>", - "model": "gpt-4o-mini" - }, - "116ac1ae1f082545ac96dbcd9c9b9366": { - "return": "(\"entity\"<|>\"Scrooge\"<|>\"person\"<|>\"Scrooge is a character who undergoes a transformation, displaying joy and generosity during Christmas after a period of miserliness.\")##\n(\"entity\"<|>\"Tiny Tim\"<|>\"person\"<|>\"Tiny Tim is a character referenced by Scrooge, symbolizing innocence and the spirit of Christmas.\")##\n(\"entity\"<|>\"The Old Gentleman\"<|>\"person\"<|>\"The Old Gentleman is a character with whom Scrooge interacts, showcasing the themes of kindness and forgiveness.\")##\n(\"entity\"<|>\"Fred\"<|>\"person\"<|>\"Fred is Scrooge's nephew, representing familial love and the joy of Christmas gatherings.\")##\n(\"entity\"<|>\"Camden Town\"<|>\"geo\"<|>\"Camden Town is mentioned as a location related to the transportation of a turkey in a humorous context during the holiday season.\")##\n(\"entity\"<|>\"Christmas\"<|>\"event\"<|>\"Christmas is the festive holiday being celebrated, central to the transformation of Scrooge and the story's theme of generosity.\")##\n(\"relationship\"<|>\"Scrooge\"<|>\"Tiny Tim\"<|>\"Scrooge expresses a newfound joy during Christmas, indicating a change in attitude towards the spirit symbolized by Tiny Tim.\"<|>\"transformation, holiday spirit\"<|>8)##\n(\"relationship\"<|>\"Scrooge\"<|>\"The Old Gentleman\"<|>\"Scrooge shows kindness and generosity to The Old Gentleman, marking a significant change in his character and relationships.\"<|>\"kindness, transformation\"<|>9)##\n(\"relationship\"<|>\"Scrooge\"<|>\"Fred\"<|>\"Scrooge visits his nephew Fred, demonstrating the rekindling of family ties and the spirit of Christmas.\"<|>\"family, rekindled relationships\"<|>7)##\n(\"relationship\"<|>\"Scrooge\"<|>\"Christmas\"<|>\"Scrooge's transformation is closely linked to the celebration of Christmas, highlighting themes of giving and joy.\"<|>\"holiday significance, transformation\"<|>10)##\n(\"content_keywords\"<|>\"transformation, kindness, Christmas spirit, family values\")<|COMPLETE|>", - "model": "gpt-4o-mini" - }, - "98f72937763bce3b05031c3c8e413ed3": { - "return": "(\"entity\"<|>\"The Fiddler\"<|>\"person\"<|>\"The Fiddler is a musician who plays at Fezziwig's celebration, providing music for the dancers and contributing to the festive atmosphere.\")##\n(\"entity\"<|>\"The Three Miss Fezziwigs\"<|>\"person\"<|>\"The Three Miss Fezziwigs are jovial participants in the celebration, characterized by their lovable demeanor.\")##\n(\"entity\"<|>\"Young Followers\"<|>\"organization\"<|>\"The Young Followers consist of several young men and women who are employed in Fezziwig's business and participate in the festivities.\")##\n(\"entity\"<|>\"The Housemaid\"<|>\"person\"<|>\"The Housemaid is a character present during the celebrations, contributing to the lively atmosphere of the evening.\")##\n(\"entity\"<|>\"The Cook\"<|>\"person\"<|>\"The Cook is another character involved in the celebrations, participating in the festivities alongside other guests.\")##\n(\"entity\"<|>\"The Baker\"<|>\"person\"<|>\"The Baker is related to the Housemaid and present during the celebrations, adding to the communal aspect of the event.\")##\n(\"entity\"<|>\"The Boy from Over the Way\"<|>\"person\"<|>\"The Boy from Over the Way is a humorous character trying to hide behind another participant, showcasing the inclusiveness of the celebrations.\")##\n(\"entity\"<|>\"The Girl from Next Door\"<|>\"person\"<|>\"The Girl from Next Door is referenced as hiding from the Boy, illustrating the interactions during the event.\")##\n(\"relationship\"<|>\"Fezziwig\"<|>\"The Fiddler\"<|>\"The Fiddler provides music for the dance, playing a crucial role in enhancing the festive atmosphere created by Fezziwig.\"<|>\"musical contribution, festive atmosphere\"<|>9)##\n(\"relationship\"<|>\"The Three Miss Fezziwigs\"<|>\"The Young Followers\"<|>\"The Three Miss Fezziwigs interact with the Young Followers during the dance, highlighting the communal joy of the celebration.\"<|>\"community, interactions\"<|>8)##\n(\"relationship\"<|>\"The Housemaid\"<|>\"The Cook\"<|>\"The Housemaid and The Cook are both present at Fezziwig's celebration, participating in the festivities and showcasing the inclusive environment.\"<|>\"inclusion, participation\"<|>7)##\n(\"relationship\"<|>\"Ebenezer Scrooge\"<|>\"Fezziwig\"<|>\"Scrooge reflects on his positive memories of Fezziwig, contributing to the theme of mentorship and joy in the past.\"<|>\"reflection, mentorship\"<|>8)##\n(\"relationship\"<|>\"The Boy from Over the Way\"<|>\"The Girl from Next Door\"<|>\"The Boy's attempts to hide from The Girl demonstrate the youthful interactions and dynamics during the festive event.\"<|>\"youthful antics, dynamics\"<|>6)##\n(\"content_keywords\"<|>\"music, joy, community, interactions\")<|COMPLETE|>", - "model": "gpt-4o-mini" - }, - "10860e13c74959020089c6b154d4feae": { - "return": "(\"entity\"<|>\"The Ghost\"<|>\"person\"<|>\"The Ghost is a supernatural being that interacts with Scrooge, helping him to confront his past and evoke emotions connected to Christmas.\")##\n(\"entity\"<|>\"Mansion\"<|>\"geo\"<|>\"The Mansion is a large house described as being in a state of decay and neglect, serving as a setting for Scrooge's memories.\")##\n(\"entity\"<|>\"Child\"<|>\"person\"<|>\"The Child is a solitary figure leaving in the school, representing loneliness and the emotions tied to Scrooge's memories of his younger self.\")##\n(\"entity\"<|>\"Robin Crusoe\"<|>\"person\"<|>\"Robin Crusoe is a character from literature that Scrooge remembers fondly, illustrating his connection to stories of adventure and survival.\")##\n(\"entity\"<|>\"Friday\"<|>\"person\"<|>\"Friday is another character from the story of Robin Crusoe, noted in Scrooge's memories, indicating the impact of literature on his nostalgia.\")##\n(\"entity\"<|>\"The Parrot\"<|>\"person\"<|>\"The Parrot is a character in Scrooge's memory tied to Robin Crusoe, representing Scrooge's whimsical recollections.\")##\n(\"relationship\"<|>\"Scrooge\"<|>\"The Ghost\"<|>\"The Ghost prompts Scrooge to remember significant moments, driving his emotional exploration of the past.\"<|>\"guidance, emotional exploration\"<|>9)##\n(\"relationship\"<|>\"Scrooge\"<|>\"Child\"<|>\"Scrooge sees his younger self in the solitary child, sparking deep emotional reflections about his past and choices.\"<|>\"self-reflection, past connection\"<|>8)##\n(\"relationship\"<|>\"Ali Baba\"<|>\"Robin Crusoe\"<|>\"Both Ali Baba and Robin Crusoe represent figures from stories that shaped Scrooge's childhood memories and sentiments towards Christmas.\"<|>\"literary connection, childhood memories\"<|>7)##\n(\"relationship\"<|>\"Scrooge\"<|>\"Mansion\"<|>\"The Mansion symbolizes the neglect and decay that parallels Scrooge's own emotional state and memories of his past.\"<|>\"symbolism, emotional state\"<|>8)##\n(\"relationship\"<|>\"The Ghost\"<|>\"Mansion\"<|>\"The Ghost guides Scrooge through the Mansion, illustrating the contrast between past warmth and present decay.\"<|>\"guidance, contrast\"<|>9)##\n(\"relationship\"<|>\"Robin Crusoe\"<|>\"Friday\"<|>\"Friday serves alongside Robin Crusoe in the stories remembered by Scrooge, representing loyalty and friendship in adventure.\"<|>\"friendship, adventure\"<|>7)##\n(\"relationship\"<|>\"Scrooge\"<|>\"The Parrot\"<|>\"Scrooge recalls the Parrot associated with his memories of Robin Crusoe, highlighting the whimsical and nostalgic aspects of his reflections.\"<|>\"nostalgia, whimsy\"<|>6)##\n(\"relationship\"<|>\"Child\"<|>\"The Spirit\"<|>\"The Spirit points Scrooge to the Child, emphasizing themes of neglect, remembrance, and the importance of past experiences.\"<|>\"remembrance, neglect\"<|>8)##\n(\"content_keywords\"<|>\"literary nostalgia, self-reflection, emotional guidance, childhood figures\")<|COMPLETE|>", - "model": "gpt-4o-mini" - }, - "9ac920735aeb9411290364be763be7db": { - "return": "(\"entity\"<|>\"The Knocker\"<|>\"organization\"<|>\"The Knocker is a feature on Scrooge's door, which takes on a mystical quality when Scrooge perceives Marley's face in it.\")##\n(\"entity\"<|>\"The Counting-House Clerk\"<|>\"person\"<|>\"The Counting-House Clerk is an unnamed character who interacts with Scrooge, representing the workforce under Scrooge's employment.\")##\n(\"entity\"<|>\"The Candle\"<|>\"technology\"<|>\"The Candle is a source of light that Scrooge lights as he enters his home, symbolizing the struggle against darkness and isolation.\")##\n(\"entity\"<|>\"The Yard\"<|>\"geo\"<|>\"The Yard refers to the dark and gloomy space behind Scrooge's residence, creating an atmosphere of loneliness and despair.\")##\n(\"entity\"<|>\"The Fog and Frost\"<|>\"concept\"<|>\"The Fog and Frost symbolize the coldness and obscurity surrounding Scrooge's life and mindset, enhancing the gloomy atmosphere.\")##\n(\"entity\"<|>\"The Ghost of Marley\"<|>\"event\"<|>\"The Ghost of Marley refers to the apparition that appears to Scrooge, serving as a catalyst for his transformation and moral reckoning.\")##\n(\"entity\"<|>\"London\"<|>\"geo\"<|>\"London serves as the setting for the story, highlighting the bustling yet isolating environment in which Scrooge lives.\")##\n(\"relationship\"<|>\"Scrooge\"<|>\"The Knocker\"<|>\"Scrooge perceives Marley's face in the knocker, symbolizing his own guilt and the haunting nature of his past choices.\"<|>\"haunting, symbol of guilt\"<|>9)##\n(\"relationship\"<|>\"Scrooge\"<|>\"The Yard\"<|>\"The Yard represents the isolation in Scrooge's life, physically and metaphorically reflecting his emotional state.\"<|>\"isolation, emotional landscape\"<|>8)##\n(\"relationship\"<|>\"Scrooge\"<|>\"The Fog and Frost\"<|>\"The Fog and Frost enveloping Scrooge's home reflect the chilling atmosphere of his life and his emotional coldness.\"<|>\"atmosphere, emotional coldness\"<|>7)##\n(\"relationship\"<|>\"Bob Cratchit\"<|>\"The Counting-House Clerk\"<|>\"Bob Cratchit and The Counting-House Clerk represent the working class under Scrooge's employment, showcasing different character traits in the context of their work.\" <|>\"workforce dynamics, character contrast\"<|>6)##\n(\"relationship\"<|>\"Scrooge\"<|>\"The Ghost of Marley\"<|>\"The Ghost of Marley serves as a direct reminder of Scrooge's past decisions, urging him towards change and redemption.\"<|>\"redemption, moral reflection\"<|>10)##\n(\"relationship\"<|>\"Bob Cratchit\"<|>\"Camden Town\"<|>\"Bob Cratchit lives in Camden Town, highlighting the geographical context of his life and family, contrasting with Scrooge's isolated existence.\"<|>\"family life, geographical contrast\"<|>7)##\n(\"relationship\"<|>\"The Candle\"<|>\"The Fog and Frost\"<|>\"The Candle symbolizes a flicker of warmth and hope in the bleak setting of Fog and Frost, contrasting the overall atmosphere.\"<|>\"hope, contrast\"<|>6)##\n(\"content_keywords\"<|>\"isolation, redemption, haunting, contrast of lives\")<|COMPLETE|>", - "model": "gpt-4o-mini" - }, - "fcf8d38c5fa7849c04b307de5329e635": { - "return": "(\"entity\"<|>\"Tiny Tim\"<|>\"person\"<|>\"Tiny Tim is a young child who is cherished by his family, particularly his father, Bob Cratchit, and is a symbol of innocence and loss.\")##\n(\"entity\"<|>\"Bob Cratchit\"<|>\"person\"<|>\"Bob Cratchit is the father of Tiny Tim and a devoted husband, showing love and care for his family despite their struggles.\")##\n(\"entity\"<|>\"Mrs. Cratchit\"<|>\"person\"<|>\"Mrs. Cratchit, the wife of Bob, is industrious and caring, focused on the well-being of her family.\")##\n(\"entity\"<|>\"Peter\"<|>\"person\"<|>\"Peter is the son of Bob and Mrs. Cratchit, showing concern and support for his father and siblings.\")##\n(\"entity\"<|>\"Mr. Scrooge's Nephew\"<|>\"person\"<|>\"Mr. Scrooge's Nephew is a kind gentleman who expresses sympathy for Bob Cratchit and offers help, reflecting goodwill.\")##\n(\"entity\"<|>\"Christmas\"<|>\"event\"<|>\"Christmas is depicted as a time of gathering, warmth, and reflection for the Cratchit family.\")##\n(\"relationship\"<|>\"Bob Cratchit\"<|>\"Tiny Tim\"<|>\"Bob Cratchit shows deep love and sorrow for Tiny Tim, reflecting a father's bond with his child.\"<|>\"parental love, sorrow\"<|>10)##\n(\"relationship\"<|>\"Mrs. Cratchit\"<|>\"Bob Cratchit\"<|>\"Mrs. Cratchit supports Bob in caring for their family and exhibits her love for him and their children.\"<|>\"partnership, family bond\"<|>8)##\n(\"relationship\"<|>\"Mr. Scrooge's Nephew\"<|>\"Bob Cratchit\"<|>\"Mr. Scrooge's Nephew expresses sympathy and kindness towards Bob, reinforcing community and support.\"<|>\"kindness, community support\"<|>7)##\n(\"relationship\"<|>\"Peter\"<|>\"Bob Cratchit\"<|>\"Peter shows concern for Bob, participating actively in family discussions and support.\"<|>\"family support, concern\"<|>6)##\n(\"relationship\"<|>\"Tiny Tim\"<|>\"Christmas\"<|>\"Tiny Tim represents the spirit of Christmas, being cherished by family during this festive occasion.\"<|>\"innocence, holiday spirit\"<|>9)##\n(\"content_keywords\"<|>\"family, love, loss, kindness, Christmas\")<|COMPLETE|>", - "model": "gpt-4o-mini" - }, - "10c3ebd5e67ddaefba0e8292c3ba4c3e": { - "return": "(\"entity\"<|>\"Project Gutenberg\"<|>\"organization\"<|>\"Project Gutenberg is an organization that promotes the free distribution of electronic works and holds a compilation copyright for its collection.\")##\n(\"entity\"<|>\"The Foundation\"<|>\"organization\"<|>\"The Foundation, also known as the Project Gutenberg Literary Archive Foundation, owns the compilation copyright in the collection of Project Gutenberg electronic works.\")##\n(\"entity\"<|>\"A Christmas Carol\"<|>\"event\"<|>\"A Christmas Carol is a literary work available through Project Gutenberg, indicating its role in literature and public access.\")##\n(\"relationship\"<|>\"Project Gutenberg\"<|>\"The Foundation\"<|>\"Project Gutenberg operates under the governance of The Foundation, which oversees its copyright and distribution activities.\"<|>\"organizational structure, governance\"<|>8)##\n(\"relationship\"<|>\"Project Gutenberg\"<|>\"A Christmas Carol\"<|>\"A Christmas Carol is part of the collection offered by Project Gutenberg, highlighting its role in promoting literature.\" <|>\"literature promotion, public access\"<|>9)##\n(\"content_keywords\"<|>\"free distribution, public domain, literary works, copyright\")<|COMPLETE|>", - "model": "gpt-4o-mini" - }, - "b6d15714a948777d8db0132513bccee9": { - "return": "(\"entity\"<|>\"Scrooge\"<|>\"person\"<|>\"Scrooge is a central character experiencing emotional turmoil and reflection, undergoing significant transformations throughout the text.\")##\n(\"entity\"<|>\"Belle\"<|>\"person\"<|>\"Belle is Scrooge's former love, evidence of care and affection, now mentioned in the context of Scrooge’s memories.\")##\n(\"entity\"<|>\"Jacob Marley\"<|>\"person\"<|>\"Jacob Marley is Scrooge's deceased partner, who appears in spirit to influence Scrooge's journey towards redemption.\")##\n(\"entity\"<|>\"The Spirit\"<|>\"event\"<|>\"The Spirit refers to the ghostly apparitions that guide Scrooge through his reflections on life, past, present, and future.\")##\n(\"entity\"<|>\"Christmas\"<|>\"event\"<|>\"Christmas represents a time of joy and giving, contrasting with Scrooge's initial demeanor of disdain and solitude.\")##\n(\"entity\"<|>\"The Office\"<|>\"organization\"<|>\"The Office refers to Scrooge's workplace, emphasizing his isolation and the business-focused nature of his life.\")##\n(\"relationship\"<|>\"Scrooge\"<|>\"Belle\"<|>\"Scrooge reminisces about Belle and the love they shared, indicating a lost connection and regret.\"<|>\"nostalgia, lost love\"<|>8)##\n(\"relationship\"<|>\"Scrooge\"<|>\"Jacob Marley\"<|>\"Jacob Marley influences Scrooge's transformation by appearing as a spirit to warn him.\"<|>\"redemption, influence\"<|>9)##\n(\"relationship\"<|>\"Scrooge\"<|>\"The Spirit\"<|>\"The Spirit serves as the medium for Scrooge's journey of self-discovery and accountability.\"<|>\"guidance, self-reflection\"<|>10)##\n(\"relationship\"<|>\"The Spirit\"<|>\"Christmas\"<|>\"The Spirit's appearances highlight the themes of Christmas and the importance of compassion and community.\"<|>\"holiday spirit, compassion\"<|>7)##\n(\"relationship\"<|>\"Scrooge\"<|>\"The Office\"<|>\"Scrooge's office reflects his solitary and business-driven life, showcasing his disconnection from familial and social ties.\"<|>\"isolation, work ethic\"<|>6)##\n(\"content_keywords\"<|>\"redemption, love, Christmas spirit, transformation, isolation\")<|COMPLETE|>", - "model": "gpt-4o-mini" - }, - "6b8180301e5091df9244a7a3198abb51": { - "return": "(\"entity\"<|>\"The Turkey\"<|>\"event\"<|>\"The Turkey represents a key symbol of generosity and festivity during Christmas, as Scrooge purchases it to spread joy.\")##\n(\"entity\"<|>\"Bob\"<|>\"person\"<|>\"Bob is likely referenced as a character who may receive the turkey sent by Scrooge, highlighting the theme of generosity.\")##\n(\"entity\"<|>\"The Cab\"<|>\"event\"<|>\"The Cab is an event associated with transporting the turkey, illustrating the lengths to which Scrooge is willing to go to share joy.\")##\n(\"entity\"<|>\"The Street\"<|>\"geo\"<|>\"The Street represents the setting where Scrooge interacts with various characters and experiences joy, emphasizing the festive atmosphere.\")##\n(\"entity\"<|>\"The Knocker\"<|>\"event\"<|>\"The Knocker is a physical object that symbolizes Scrooge's newfound appreciation for the simple, honest joys of life during Christmas.\")##\n(\"entity\"<|>\"The People\"<|>\"organization\"<|>\"The People refer to the townsfolk whom Scrooge encounters, showcasing the communal spirit of Christmas.\")##\n(\"entity\"<|>\"The Kitchen\"<|>\"geo\"<|>\"The Kitchen is a location that Scrooge looks into, symbolizing warmth, family, and the spirit of hospitality during the holiday season.\")##\n(\"entity\"<|>\"Mistress\"<|>\"person\"<|>\"Mistress is referenced in relation to Fred, indicating the presence of family dynamics during the Christmas celebration.\")##\n(\"content_keywords\"<|>\"generosity, community spirit, holiday traditions, familial bonds\")<|COMPLETE|>", - "model": "gpt-4o-mini" - }, - "5f787a11337980d80fd28d5e22074583": { - "return": "(\"entity\"<|>\"Cratchit Family\"<|>\"organization\"<|>\"The Cratchit Family is depicted as a warm and loving household celebrating Christmas together, with various members actively participating in the festivities.\")##\n(\"entity\"<|>\"Bob Cratchit\"<|>\"person\"<|>\"Bob Cratchit is the father of the Cratchit family, dedicated to his children and caring for Tiny Tim's needs.\")##\n(\"entity\"<|>\"Martha\"<|>\"person\"<|>\"Martha is the daughter in the Cratchit family, who makes a dramatic entrance to surprise her family, highlighting the family's closeness.\")##\n(\"entity\"<|>\"Tiny Tim\"<|>\"person\"<|>\"Tiny Tim is a young boy in the Cratchit family who is a cripple, yet is portrayed with a hopeful spirit and brings joy to those around him.\")##\n(\"entity\"<|>\"Peter Cratchit\"<|>\"person\"<|>\"Peter Cratchit is one of the Cratchit children, shown to be active and enthusiastic during the Christmas celebration.\")##\n(\"entity\"<|>\"Cratchit Christmas Dinner\"<|>\"event\"<|>\"Cratchit Christmas Dinner is a festive occasion filled with joy, love, and togetherness as the family celebrates the holiday.\")##\n(\"relationship\"<|>\"Bob Cratchit\"<|>\"Tiny Tim\"<|>\"Bob Cratchit shows deep care for Tiny Tim, supporting him and expressing pride in his resilience, especially regarding Tiny Tim's reflective thoughts on Christmas.\"<|>\"father-son relationship, care\"<|>9)##\n(\"relationship\"<|>\"Martha\"<|>\"Bob Cratchit\"<|>\"Martha surprises Bob Cratchit by coming home late for Christmas dinner, showing the family's love and warmth in reunions.\"<|>\"family reunion, surprise\"<|>8)##\n(\"relationship\"<|>\"Cratchit Family\"<|>\"Cratchit Christmas Dinner\"<|>\"The Cratchit Family comes together to celebrate Christmas dinner, encapsulating their unity and joyful spirit during the holiday season.\"<|>\"family celebration, togetherness\"<|>10)##\n(\"relationship\"<|>\"Tiny Tim\"<|>\"Cratchit Family\"<|>\"Tiny Tim, despite his condition, brings joy to the Cratchit Family and fosters a sense of hope and love during their Christmas celebration.\"<|>\"hope, joy\"<|>10)##\n(\"content_keywords\"<|>\"family love, Christmas celebration, hope, togetherness\")<|COMPLETE|>", - "model": "gpt-4o-mini" - }, - "75c99644e77c82502e8543b94d61350d": { - "return": "(\"entity\"<|>\"Joe\"<|>\"person\"<|>\"Joe is an old character who engages in conversation about the deceased man's belongings, revealing his pragmatic and somewhat cynical perspective on life and death.\")##\n(\"entity\"<|>\"The Woman\"<|>\"person\"<|>\"The Woman is another character who interacts with Joe, demonstrating a lack of reverence for the deceased and a focus on material gain.\")##\n(\"entity\"<|>\"Scrooge\"<|>\"person\"<|>\"Scrooge is a central character who experiences horror and reflection upon witnessing the treatment of the deceased, contemplating the moral implications of greed and death.\")##\n(\"entity\"<|>\"The Deceased Man\"<|>\"person\"<|>\"The Deceased Man is a character whose belongings are being discussed and whose death prompts reactions of horror and contemplation from Scrooge.\")##\n(\"entity\"<|>\"Death\"<|>\"concept\"<|>\"Death is depicted as a cold, inevitable force, prompting reflections on the value of life and the consequences of avarice.\")##\n(\"entity\"<|>\"The Bed\"<|>\"event\"<|>\"The Bed represents a significant scene where the deceased man's body is laid, evoking deep emotions and realizations about life and morality.\")##\n(\"relationship\"<|>\"Joe\"<|>\"The Woman\"<|>\"Joe and The Woman are engaged in a discussion about the deceased man’s belongings, illustrating their shared perspective on material possessions.\" <|>\"conversational dynamics, materialism\"<|>5)##\n(\"relationship\"<|>\"Scrooge\"<|>\"The Deceased Man\"<|>\"Scrooge reflects on the life and death of The Deceased Man, prompting introspection about his own life choices.\" <|>\"moral reflection, consequence\"<|>9)##\n(\"relationship\"<|>\"Joe\"<|>\"Scrooge\"<|>\"Joe's cynical attitude towards death and belongings contrasts with Scrooge's moral horror, creating a tension between their perspectives.\" <|>\"perspective contrast, moral dilemma\"<|>6)##\n(\"relationship\"<|>\"Death\"<|>\"The Bed\"<|>\"Death is inherently linked to The Bed as the resting place of the deceased, symbolizing the finality of life and the legacy left behind.\" <|>\"finality, mortality\"<|>8)##\n(\"content_keywords\"<|>\"materialism, mortality, moral reflection, avarice\")<|COMPLETE|>", - "model": "gpt-4o-mini" - }, - "85a6fdce3cecbc860360511c4ac36275": { - "return": "(\"entity\"<|>\"The Cratchit Family\"<|>\"organization\"<|>\"The Cratchit Family consists of Bob, Mrs. Cratchit, Tiny Tim, and their children, characterized by their strong familial bonds and love for one another despite financial struggles.\")##\n(\"entity\"<|>\"The Two Young Cratchits\"<|>\"person\"<|>\"The Two Young Cratchits are siblings who show affection for their father, demonstrating the innocence and unity of childhood.\")##\n(\"entity\"<|>\"The Table\"<|>\"geo\"<|>\"The Table is where the Cratchit family gathers, representing their domestic life and togetherness.\")##\n(\"entity\"<|>\"The Room Above\"<|>\"geo\"<|>\"The Room Above is a space in the Cratchit household which is illuminated cheerfully, suggesting a haven despite their hardships.\")##\n(\"content_keywords\"<|>\"family dynamics, support, resilience, affection, holiday gathering\")<|COMPLETE|>", - "model": "gpt-4o-mini" - }, - "ae027fae1a5f9d6a056ff95c9e55fd51": { - "return": "(\"entity\"<|>\"Bob Cratchit\"<|>\"person\"<|>\"Bob Cratchit is a father figure who expresses happiness and is concerned for his family, specifically Tiny Tim's well-being.\")##\n(\"entity\"<|>\"Tiny Tim\"<|>\"person\"<|>\"Tiny Tim is a young child, representing innocence and goodness, whose essence is revered by his family.\")##\n(\"entity\"<|>\"Scrooge\"<|>\"person\"<|>\"Scrooge is a character who undergoes a profound transformation, grappling with his past, present, and future through the visits of spirits.\")##\n(\"entity\"<|>\"Jacob Marley\"<|>\"person\"<|>\"Jacob Marley is the deceased partner of Scrooge who shows concern for Scrooge's fate and the importance of change in his life.\")##\n(\"entity\"<|>\"Christmas\"<|>\"event\"<|>\"Christmas represents a time of goodwill and change, which Scrooge decides to embrace fully in his life moving forward.\")##\n(\"entity\"<|>\"The Ghost of Christmas Yet to Come\"<|>\"organization\"<|>\"The Ghost of Christmas Yet to Come is a spirit that shows Scrooge the consequences of his actions, pointing toward his eventual demise.\")##\n(\"entity\"<|>\"Grave\"<|>\"geo\"<|>\"The Grave represents a place where Scrooge's future self lies, symbolizing death and the consequences of a life unexamined.\")##\n(\"relationship\"<|>\"Bob Cratchit\"<|>\"Tiny Tim\"<|>\"Bob Cratchit shows deep concern and love for his son, Tiny Tim, highlighting the family dynamics and attachment in their household.\"<|>\"family bond, love\"<|>9)##\n(\"relationship\"<|>\"Scrooge\"<|>\"Tiny Tim\"<|>\"Scrooge reflects on Tiny Tim's essence and the impact of his potential death, considering how it could prompt him to change his ways.\"<|>\"reflection, transformation\"<|>8)##\n(\"relationship\"<|>\"Scrooge\"<|>\"Jacob Marley\"<|>\"Jacob Marley warns Scrooge about his fate and the importance of change, acting as a catalyst for Scrooge's transformation.\"<|>\"warning, catalyst\"<|>9)##\n(\"relationship\"<|>\"Scrooge\"<|>\"The Ghost of Christmas Yet to Come\"<|>\"The Ghost of Christmas Yet to Come shows Scrooge the consequences of his life choices, prompting introspection and desire for change.\"<|>\"consequence, introspection\"<|>10)##\n(\"relationship\"<|>\"Scrooge\"<|>\"Grave\"<|>\"Scrooge is confronted with his own grave, symbolizing the ultimate outcome of his current lifestyle and actions.\"<|>\"mortality, reflection\"<|>10)##\n(\"relationship\"<|>\"Christmas\"<|>\"Scrooge\"<|>\"Christmas becomes a focal point for Scrooge's promise to change and embrace life, symbolizing hope and renewal.\"<|>\"renewal, change\"<|>9)##\n(\"content_keywords\"<|>\"transformation, family, reflection, change, mortality\")<|COMPLETE|>", - "model": "gpt-4o-mini" - }, - "f36cccb2f6122a29414c9ed057806f4e": { - "return": "(\"entity\"<|>\"Scrooge\"<|>\"person\"<|>\"Scrooge is a central character, observing and interacting with the Spirit of Christmas Present, reflecting on themes of generosity and social responsibility.\")##\n(\"entity\"<|>\"Spirit of Christmas Present\"<|>\"person\"<|>\"The Spirit of Christmas Present embodies the spirit of generosity and compassion, showing Scrooge scenes of joy and festivity among the poor.\")##\n(\"entity\"<|>\"Bob Cratchit\"<|>\"person\"<|>\"Bob Cratchit is Scrooge's clerk, depicted as a struggling yet loving family man, whose household is blessed by the Spirit.\")##\n(\"entity\"<|>\"Mrs. Cratchit\"<|>\"person\"<|>\"Mrs. Cratchit is Bob's wife, portrayed as devoted and hardworking, striving to create a joyous atmosphere for her family despite limited resources.\")##\n(\"entity\"<|>\"Belinda Cratchit\"<|>\"person\"<|>\"Belinda Cratchit is one of Bob's daughters, assisting in household tasks and showing a strong familial bond.\")##\n(\"entity\"<|>\"Peter Cratchit\"<|>\"person\"<|>\"Peter Cratchit is Bob's son, excited about his clothing and preparing a festive meal, symbolizing youthful innocence and hope.\")##\n(\"entity\"<|>\"The Cratchit Household\"<|>\"organization\"<|>\"The Cratchit Household represents a loving family unit, managing to find joy despite their financial struggles.\")##\n(\"entity\"<|>\"Christmas Day\"<|>\"event\"<|>\"Christmas Day is portrayed as a day of celebration and gathering, emphasizing themes of togetherness and generosity.\")##\n(\"relationship\"<|>\"Scrooge\"<|>\"Spirit of Christmas Present\"<|>\"Scrooge interacts with the Spirit of Christmas Present, who shows him the joys of Christmas and the importance of generosity.\"<|>\"transformation, generosity\"<|>8)##\n(\"relationship\"<|>\"Spirit of Christmas Present\"<|>\"Bob Cratchit\"<|>\"The Spirit blesses Bob Cratchit’s dwelling, symbolizing the recognition of the Cratchit family's struggles and joys on Christmas Day.\"<|>\"blessing, compassion\"<|>9)##\n(\"relationship\"<|>\"Bob Cratchit\"<|>\"The Cratchit Household\"<|>\"Bob Cratchit leads his family, representing resilience and love in the face of hardship, which is celebrated by the Spirit.\"<|>\"family, support\"<|>8)##\n(\"relationship\"<|>\"Mrs. Cratchit\"<|>\"The Cratchit Household\"<|>\"Mrs. Cratchit contributes to the family’s efforts to celebrate Christmas, demonstrating dedication and caring.\"<|>\"dedication, familial love\"<|>7)##\n(\"relationship\"<|>\"Belinda Cratchit\"<|>\"The Cratchit Household\"<|>\"Belinda plays an active role in the household duties, reinforcing the theme of cooperation and togetherness.\"<|>\"cooperation, family bonds\"<|>6)##\n(\"relationship\"<|>\"Peter Cratchit\"<|>\"Mrs. Cratchit\"<|>\"Peter demonstrates youthful excitement and contributes to the household, showcasing the joy found even in modest circumstances.\"<|>\"youthful joy, family dynamics\"<|>7)##\n(\"content_keywords\"<|>\"Christmas spirit, family, generosity, social responsibility\")<|COMPLETE|>", - "model": "gpt-4o-mini" - }, - "f77d8d11b2e499cc9287be7a5000801b": { - "return": "(\"entity\"<|>\"Scrooge\"<|>\"person\"<|>\"Scrooge is a central character who undergoes a transformation and experiences visions of his past, present, and future.\")##\n(\"entity\"<|>\"The Ghost\"<|>\"event\"<|>\"The Ghost represents a supernatural entity that shows Scrooge various scenes from his life, influencing his emotional state and ultimate redemption.\")##\n(\"entity\"<|>\"The Beautiful Young Girl\"<|>\"person\"<|>\"The Beautiful Young Girl is a figure from Scrooge's past, representing lost opportunities and innocence.\")##\n(\"entity\"<|>\"The Comely Matron\"<|>\"person\"<|>\"The Comely Matron is the grown-up version of the Beautiful Young Girl, emphasizing change and the passage of time.\")##\n(\"entity\"<|>\"The Children\"<|>\"person\"<|>\"The Children are a lively group in the matron's home, symbolizing joy, chaos, and familial warmth.\")##\n(\"entity\"<|>\"Christmas Toys and Presents\"<|>\"event\"<|>\"Christmas Toys and Presents are associated with familial love and joy, as they arrive with the father, enhancing the holiday spirit.\")##\n(\"relationship\"<|>\"Scrooge\"<|>\"The Beautiful Young Girl\"<|>\"Scrooge reflects on his past relationship with the young girl, which holds significance in understanding his character's regrets.\"<|>\"nostalgia, lost love\"<|>8)##\n(\"relationship\"<|>\"Scrooge\"<|>\"The Ghost\"<|>\"The Ghost influences Scrooge's journey by revealing his past, driving the narrative of his redemption.\"<|>\"supernatural guidance, transformation\"<|>9)##\n(\"relationship\"<|>\"The Beautiful Young Girl\"<|>\"The Comely Matron\"<|>\"The Beautiful Young Girl evolves into The Comely Matron, representing the effects of time and choices made.\"<|>\"change, passage of time\"<|>7)##\n(\"relationship\"<|>\"The Comely Matron\"<|>\"The Children\"<|>\"The Comely Matron fosters a lively environment with The Children, highlighting familial love and joy.\"<|>\"family bonds, joy\"<|>8)##\n(\"relationship\"<|>\"The Father\"<|>\"The Children\"<|>\"The Father returns home with gifts, reinforcing familial ties and the festive atmosphere.\"<|>\"family reunion, festivities\"<|>9)##\n(\"content_keywords\"<|>\"redemption, nostalgia, familial love, transformation\")<|COMPLETE|>", - "model": "gpt-4o-mini" - }, - "596ac46576474fa7c137975ee2b863b8": { - "return": "(\"entity\"<|>\"Scrooge\"<|>\"person\"<|>\"Scrooge is a pivotal character in the story, known for his transformation from a miserly figure to one filled with the spirit of Christmas.\")##\n(\"entity\"<|>\"Fred\"<|>\"person\"<|>\"Fred is Scrooge's nephew who expresses admiration for Scrooge and raises a toast to his uncle during a Christmas gathering.\")##\n(\"entity\"<|>\"Spirit\"<|>\"concept\"<|>\"The Spirit represents a supernatural entity guiding Scrooge and teaching him lessons about compassion and humanity.\")##\n(\"entity\"<|>\"Christmas Holidays\"<|>\"event\"<|>\"Christmas Holidays signify a time for celebration, reflection, and reconciliation, playing a critical role in Scrooge's transformation.\")##\n(\"entity\"<|>\"Ignorance\"<|>\"concept\"<|>\"Ignorance refers to one of the two children presented by the Spirit, symbolizing societal neglect and the consequences of lack of awareness.\")##\n(\"entity\"<|>\"Want\"<|>\"concept\"<|>\"Want is represented as the second child shown by the Spirit, symbolizing the dire social conditions and needs of the impoverished.\")##\n(\"relationship\"<|>\"Fred\"<|>\"Scrooge\"<|>\"Fred expresses admiration and gratitude for Scrooge, highlighting the family connection and the hope for Scrooge's redemption.\"<|>\"family ties, redemption\"<|>7)##\n(\"relationship\"<|>\"Spirit\"<|>\"Scrooge\"<|>\"The Spirit serves as a guide for Scrooge, showing him visions that lead to his personal transformation and moral awakening.\"<|>\"guidance, transformation\"<|>9)##\n(\"relationship\"<|>\"Scrooge\"<|>\"Christmas Holidays\"<|>\"Christmas Holidays are integral to Scrooge's journey, representing the time of year that prompts his change and reinstates joy.\"<|>\"transformation, significance of time\"<|>8)##\n(\"relationship\"<|>\"Spirit\"<|>\"Ignorance\"<|>\"The Spirit introduces Ignorance to Scrooge as a representation of societal failures, urging him to acknowledge and address these issues.\"<|>\"social issues, awareness\"<|>8)##\n(\"relationship\"<|>\"Spirit\"<|>\"Want\"<|>\"The Spirit presents Want along with Ignorance, symbolizing the plight of the less fortunate and appealing for compassion.\"<|>\"social issues, need for compassion\"<|>8)##\n(\"content_keywords\"<|>\"transformation, family ties, societal issues, compassion, Christmas spirit\")<|COMPLETE|>", - "model": "gpt-4o-mini" - }, - "09bcfbc45e8dca5a2c7d3008a6d4d077": { - "return": "(\"entity\"<|>\"Scrooge's Nephew\"<|>\"person\"<|>\"Scrooge's Nephew is a jovial character known for his infectious laughter and optimistic attitude towards Christmas, finding humor in Scrooge's ill temper and wealth.\")##\n(\"entity\"<|>\"Scrooge's Niece\"<|>\"person\"<|>\"Scrooge's Niece is a lively character who expresses indignation towards Scrooge's disdain for Christmas and embodies warmth and charm, showing affection and concern for family.\")##\n(\"entity\"<|>\"Scrooge\"<|>\"person\"<|>\"Scrooge is portrayed as a comical yet irritable old man who is wealthy but reclusive, exhibiting a disdain for Christmas and the merriment that accompanies it.\")##\n(\"entity\"<|>\"Topper\"<|>\"person\"<|>\"Topper is a member of Scrooge's Niece's social group, characterized by his playful manner and romantic interests, notably towards one of Scrooge's Niece's sisters.\")##\n(\"entity\"<|>\"Christmas\"<|>\"event\"<|>\"Christmas is referenced as a holiday that Scrooge's Nephew is passionate about, contrasting sharply with Scrooge's cynical view of it as a humbug.\")##\n(\"relationship\"<|>\"Scrooge's Nephew\"<|>\"Scrooge\"<|>\"Scrooge's Nephew often expresses pity for Scrooge, believing that Scrooge loses more by avoiding family gatherings and Christmas cheer.\"<|>\"family, festive spirit\"<|>8)##\n(\"relationship\"<|>\"Scrooge's Niece\"<|>\"Scrooge\"<|>\"Scrooge's Niece shows indignation toward Scrooge's negativity about Christmas, highlighting the familial tensions between them.\"<|>\"family conflict, holiday spirit\"<|>7)##\n(\"relationship\"<|>\"Scrooge's Nephew\"<|>\"Scrooge's Niece\"<|>\"Scrooge's Nephew and Scrooge's Niece share laughter and a good-natured attitude towards Christmas, contrasting with Scrooge's sternness.\"<|>\"shared joy, familial bond\"<|>9)##\n(\"relationship\"<|>\"Topper\"<|>\"Scrooge's Niece\"<|>\"Topper displays interest in Scrooge's Niece, which adds a light-hearted romantic element to the scene.\"<|>\"romance, social interaction\"<|>6)##\n(\"content_keywords\"<|>\"family dynamics, Christmas spirit, humor, social interaction\")<|COMPLETE|>", - 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"model": "gpt-4o-mini" - }, - "25f2107d80ab548b966f0058d7245730": { - "return": "(\"entity\"<|>\"Fred\"<|>\"person\"<|>\"Fred is Ebenezer Scrooge's nephew, who embodies the spirit of Christmas and represents familial love and joy.\")##\n(\"entity\"<|>\"Mrs. Cratchit\"<|>\"person\"<|>\"Mrs. Cratchit is the wife of Bob Cratchit, who supports her family and embodies warmth and resilience despite their struggles.\")##\n(\"entity\"<|>\"Belinda Cratchit\"<|>\"person\"<|>\"Belinda is the daughter of Bob and Mrs. Cratchit, representing the innocence and joyful spirit of the Cratchit family.\")##\n(\"entity\"<|>\"Martha Cratchit\"<|>\"person\"<|>\"Martha is another daughter of Bob and Mrs. Cratchit, who shows love and care for her family.\")##\n(\"entity\"<|>\"Joe\"<|>\"person\"<|>\"Joe is a marine-store dealer and receiver of stolen goods, indicative of the darker, more unscrupulous elements of society.\")##\n(\"entity\"<|>\"Ghost of Jacob Marley\"<|>\"event\"<|>\"The Ghost of Jacob Marley is the specter of Scrooge's former business partner, who warns Scrooge to change his ways.\")##\n(\"entity\"<|>\"Fan\"<|>\"person\"<|>\"Fan is Ebenezer Scrooge's sister, who represents love and kindness from Scrooge's past, influencing his character development.\")##\n(\"entity\"<|>\"Mrs. Fezziwig\"<|>\"person\"<|>\"Mrs. Fezziwig is the partner of Mr. Fezziwig, known for her warmth and joyous nature during Christmas celebrations.\")##\n\n## \n\n(\"relationship\"<|>\"Scrooge\"<|>\"Fred\"<|>\"Fred's joyful and loving nature in contrast to Scrooge's bitterness illustrates the theme of familial love versus isolation.\"<|>\"family, contrast\"<|>7)##\n(\"relationship\"<|>\"Fred\"<|>\"Ghost of Christmas Present\"<|>\"Fred is celebrated by the Ghost of Christmas Present as a symbol of Christmas spirit, highlighting the contrast with Scrooge.\"<|>\"celebration, Christmas spirit\"<|>8)##\n(\"relationship\"<|>\"Bob Cratchit\"<|>\"Mrs. Cratchit\"<|>\"Bob Cratchit and Mrs. Cratchit work together to provide for their family, showcasing partnership and resilience.\"<|>\"partnership, resilience\"<|>8)##\n(\"relationship\"<|>\"Tiny Tim\"<|>\"Ghost of Christmas Present\"<|>\"The Ghost of Christmas Present reveals Tiny Tim’s struggles and optimism, emphasizing themes of compassion and family.\"<|>\"compassion, family\"<|>9)##\n(\"relationship\"<|>\"Bob Cratchit\"<|>\"Martha Cratchit\"<|>\"Bob shows pride and love for his daughter Martha, highlighting the close ties within the Cratchit family.\"<|>\"family, love\"<|>7)##\n(\"relationship\"<|>\"Mr. Fezziwig\"<|>\"Scrooge\"<|>\"Mr. Fezziwig's kindness towards employees influences Scrooge's eventual change in attitude toward generosity and business.\"<|>\"kindness, influence\"<|>8)##\n(\"relationship\"<|>\"Ghost of Jacob Marley\"<|>\"Scrooge\"<|>\"Jacob Marley appears to Scrooge as a warning and catalyst for his eventual transformation into a better person.\"<|>\"warning, transformation\"<|>9)##\n(\"relationship\"<|>\"Fan\"<|>\"Scrooge\"<|>\"Fan's loving relationship with her brother Scrooge reflects the lost potential for joy in his life due to his choices.\"<|>\"family, joy lost\"<|>6)##\n(\"relationship\"<|>\"Mrs. Fezziwig\"<|>\"Mr. Fezziwig\"<|>\"Mr. and Mrs. Fezziwig together create a joyful environment during Christmas, representing partnership and generosity.\"<|>\"partnership, Christmas joy\"<|>8)##\n\n(\"content_keywords\"<|>\"family, kindness, redemption, Christmas spirit\")<|COMPLETE|>", - 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celebrating Christmas together despite their difficulties.\")## \n(\"entity\"<|>\"The Dinner\"<|>\"event\"<|>\"The Dinner is a festive event where the Cratchit family gathers to enjoy a meal, including a special goose and pudding, symbolizing their togetherness.\")## \n(\"entity\"<|>\"Scrooge\"<|>\"person\"<|>\"Scrooge is a character who undergoes transformation and reflection, particularly about life, compassion, and the consequences of one's actions.\")## \n(\"relationship\"<|>\"Bob Cratchit\"<|>\"Tiny Tim\"<|>\"Bob Cratchit shows affection for Tiny Tim, often expressing concern for his health and trying to keep him close during the Christmas celebration.\"<|>\"family bond, father-son relationship\"<|>8)## \n(\"relationship\"<|>\"Mrs. Cratchit\"<|>\"The Dinner\"<|>\"Mrs. Cratchit prepares the dinner with pride, particularly the pudding, making it a highlight of the family's Christmas celebration.\"<|>\"food preparation, holiday tradition\"<|>9)## \n(\"relationship\"<|>\"The Cratchit 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"model": "gpt-4o-mini" - }, - "dadf46477737e1949143b410fc89ff80": { - "return": "(\"entity\"<|>\"Peter Cratchit\"<|>\"person\"<|>\"Peter Cratchit is the eldest son of Bob and Mrs. Cratchit, who is portrayed as contemplative about his future as he considers a potential job opportunity.\")##\n(\"entity\"<|>\"Martha Cratchit\"<|>\"person\"<|>\"Martha Cratchit is a daughter of Bob and Mrs. Cratchit, working as an apprentice at a milliner's and looking forward to the holiday for a good rest.\")##\n(\"entity\"<|>\"The children\"<|>\"organization\"<|>\"The children are the offspring of the Cratchit family, showcasing innocence and joy during the Christmas celebrations, reacting with laughter and cheer.\")##\n(\"entity\"<|>\"The Countess\"<|>\"person\"<|>\"The Countess is mentioned by Martha, indicating an encounter that highlights the social stratification and aspirations of the Cratchit family.\")##\n(\"entity\"<|>\"The Lord\"<|>\"person\"<|>\"The Lord is referenced in Martha's account of her work, underscoring the contrast between the Cratchit family's modest means and the nobility.\")##\n(\"entity\"<|>\"The Spirit's Torch\"<|>\"event\"<|>\"The Spirit's Torch symbolizes the joy and magic of the Christmas spirit, illuminating the family's happiness despite their hardships.\")##\n(\"entity\"<|>\"The Gathering\"<|>\"event\"<|>\"The Gathering refers to the collective event of the family coming together to celebrate Christmas, filled with warmth and camaraderie despite their struggles.\")##\n(\"relationship\"<|>\"Peter Cratchit\"<|>\"Martha Cratchit\"<|>\"Peter and Martha interact as siblings during the Christmas gathering, reflecting familial bonds and shared experiences.\"<|>\"sibling relationship, family dynamics\"<|>7)##\n(\"relationship\"<|>\"Martha Cratchit\"<|>\"The Countess\"<|>\"Martha’s mention of having seen the Countess represents her connection to higher social circles and dreams beyond her current situation.\"<|>\"social aspirations, class 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decorations associated with Christmas, symbolizing festivity.\")##\n(\"entity\"<|>\"Mistletoe\"<|>\"organization\"<|>\"Mistletoe is described in the context of Christmas decorations, often used for kissing and holiday celebrations.\")##\n(\"entity\"<|>\"Red Berries\"<|>\"organization\"<|>\"Red Berries are decorative elements commonly used during Christmas decorations, adding color and festivity.\")##\n(\"entity\"<|>\"Turkeys\"<|>\"organization\"<|>\"Turkeys are food items prominently featured in Christmas meals, representing a festive celebration of the holiday.\")##\n(\"entity\"<|>\"Geese\"<|>\"organization\"<|>\"Geese are also traditional food items that may be included in Christmas feasts, adding to the holiday cheer.\")##\n(\"entity\"<|>\"Poultry\"<|>\"organization\"<|>\"Poultry represents a variety of birds that are often prepared for Christmas dinners, enhancing the festive festivities.\")##\n(\"entity\"<|>\"Brawn\"<|>\"organization\"<|>\"Brawn refers to a traditional meat dish that may be part of Christmas festivities, highlighting culinary practices of the season.\")##\n(\"entity\"<|>\"Meat\"<|>\"organization\"<|>\"Meat serves as a general representation of the food consumed during Christmas celebrations, contributing to the holiday meals.\")##\n(\"entity\"<|>\"Sausages\"<|>\"organization\"<|>\"Sausages are food items mentioned that may be served during Christmas festivities, adding to the variety of traditional foods.\")##\n(\"entity\"<|>\"Oysters\"<|>\"organization\"<|>\"Oysters are considered delicacies that can enhance special occasions such as Christmas, indicating celebratory dining.\")##\n(\"entity\"<|>\"Pies\"<|>\"organization\"<|>\"Pies, often sweet, are traditional desserts served during Christmas, symbolizing festive dessert offerings.\")##\n(\"entity\"<|>\"Puddings\"<|>\"organization\"<|>\"Puddings are showcased as a traditional dessert during Christmas celebrations, central to holiday meals.\")##\n(\"entity\"<|>\"Fruit\"<|>\"organization\"<|>\"Fruit represents the fresh produce that accompanies holiday meals, bringing color and variety to the Christmas table.\")##\n(\"entity\"<|>\"Punch\"<|>\"organization\"<|>\"Punch is a festive beverage that is often served during Christmas celebrations, adding to the holiday spirit.\")##\n(\"entity\"<|>\"City Streets\"<|>\"geo\"<|>\"City Streets are referenced as the setting where people are celebrating and making music, contributing to the festive atmosphere of Christmas morning.\")##\n(\"entity\"<|>\"Snow\"<|>\"geo\"<|>\"Snow is a significant element of the Christmas setting, emphasizing the winter atmosphere and contributing to the imagery of the holiday.\")##\n(\"entity\"<|>\"Parapets\"<|>\"geo\"<|>\"Parapets are structures that people use to engage in playful activities, such as throwing snowballs during Christmas celebrations.\")##\n(\"content_keywords\"<|>\"Christmas decorations, festive foods, winter atmosphere, community joy\")<|COMPLETE|>", - "model": "gpt-4o-mini" - }, - "5e401523b119c8201c5f3fb0689a28e8": { - "return": "(\"entity\"<|>\"The Ghost\"<|>\"event\"<|>\"The Ghost serves as a supernatural guide for Scrooge, revealing lessons about kindness, death, and the emotional repercussions of one's actions.\")##\n(\"entity\"<|>\"The Mother\"<|>\"person\"<|>\"The Mother is a character who exhibits anxiety and hope as she awaits her husband's return, embodying the emotional depth of family relations during hardship.\")##\n(\"entity\"<|>\"The Husband\"<|>\"person\"<|>\"The Husband is depicted as a careworn man, bringing news that impacts his family's emotional state, symbolizing the struggle between hope and despair.\")##\n(\"entity\"<|>\"Peter\"<|>\"person\"<|>\"Peter is a son in the Cratchit family, responsible and calm, attempting to engage his siblings amidst a tense family situation and financial uncertainty.\")##\n(\"entity\"<|>\"The Children\"<|>\"person\"<|>\"The Children in the Cratchit family represent innocence and curiosity, highlighting the effects of their family's struggles on their happiness.\")##\n(\"entity\"<|>\"The Debt\"<|>\"concept\"<|>\"The Debt symbolizes the financial burdens faced by the Cratchit family, a source of anxiety and tension impacting their morale and outlook.\")##\n(\"entity\"<|>\"Hope\"<|>\"concept\"<|>\"Hope emerges as a central theme in the characters' lives, particularly through Caroline's reaction to news about the husband and the family's future.\")##\n(\"relationship\"<|>\"The Ghost\"<|>\"Scrooge\"<|>\"The Ghost interacts with Scrooge, revealing truths that challenge his perspective on life and death.\"<|>\"rebuke, self-discovery\"<|>10)##\n(\"relationship\"<|>\"The Mother\"<|>\"The Husband\"<|>\"The Mother expresses anxiety and eagerness as she interacts with her husband, showcasing the emotional strain caused by uncertainty.\"<|>\"marital dynamics, emotional strain\"<|>8)##\n(\"relationship\"<|>\"The Husband\"<|>\"Caroline\"<|>\"The Husband and Caroline's conversation illustrates the tension between optimism and the reality of their situation after receiving distressing news.\"<|>\"communication, emotional burden\"<|>7)##\n(\"relationship\"<|>\"Peter\"<|>\"The Children\"<|>\"Peter acts as a stabilizing force among The Children, leading them in moments of uncertainty and representing familial responsibility.\"<|>\"leadership, sibling dynamics\"<|>6)##\n(\"relationship\"<|>\"The Debt\"<|>\"The Cratchit House\"<|>\"The Debt looms over The Cratchit House, contributing to the emotional atmosphere and fears of its inhabitants during the story.\"<|>\"financial burden, atmosphere\"<|>9)##\n(\"relationship\"<|>\"Hope\"<|>\"Caroline\"<|>\"Hope influences Caroline's reactions and actions throughout the story, serving as both a motivator and a source of inner conflict.\"<|>\"emotional resilience, motivation\"<|>8)##\n(\"content_keywords\"<|>\"hope, family struggles, emotional dynamics, financial burden\")<|COMPLETE|>", - "model": "gpt-4o-mini" - }, - "9b676559c7ffd6e8d9eb46019f7bb76f": { - "return": "Bob Cratchit is a significant character in Charles Dickens' \"A Christmas Carol,\" serving as Scrooge's dedicated clerk and embodiment of the struggles faced by the working class. He is depicted as a humble family man, exhibiting warmth and joy at home despite his limited income. Cratchit demonstrates a sense of hope, particularly highlighted during the Christmas season, where he attempts to maintain positivity in the face of challenges.\n\nAs the father of Tiny Tim and head of the Cratchit family, Bob exemplifies deep familial love and concern, striving to care for his children amidst financial hardships. He is characterized by his kindness and emotional depth, particularly in caring for Tiny Tim's wellbeing. The Cratchit household is filled with a warm atmosphere, and Cratchit's joy and gratitude during their Christmas dinner starkly contrast with Scrooge's initial miserly demeanor.\n\nDespite his struggles, Bob Cratchit is portrayed as a voice of moderation and kindness, especially during family celebrations. His character captures the essence of duty and love, and he expresses happiness and appreciation during difficult times, showing affection for his children and a strong commitment to his family. His arrival late to work after celebrating Christmas highlights his trepidation toward Scrooge, yet it also reflects Scrooge's eventual generosity towards him, including an intention to support the Cratchit family.\n\nIn summary, Bob Cratchit is not only a devoted father and husband but also a representation of resilience and the importance of family, embodying the spirit of hope and joy amidst adversity in \"A Christmas Carol.\"", - "model": "gpt-4o-mini" - }, - "4b427f9d0a6468eeb2d77eb421e41694": { - "return": "Tiny Tim, whose full name is Tim Cratchit, is a young boy and the youngest son of Bob Cratchit in Charles Dickens' \"A Christmas Carol.\" He is a frail child who embodies innocence and vulnerability, serving as a poignant symbol of hope and resilience. Despite his health struggles, characterized by being a cripple, Tiny Tim maintains a joyful spirit and a positive outlook on life, which brings joy to those around him and highlights the warmth of the Christmas season.\n\nTiny Tim's character serves multiple significant roles within the narrative. He represents the harsh realities of illness and poverty faced by the Cratchit family, evoking compassion and drawing attention to their struggles. His presence is central to the family's emotional state, reflecting their hopes for the future and their love for one another. Tiny Tim's plight also becomes a focal point for Ebenezer Scrooge’s transformation, as Tiny Tim symbolizes the impact of Scrooge's change of heart—ultimately illustrating the themes of generosity and the value of family.\n\nThroughout the story, Tiny Tim participates in festive celebrations, including the Christmas toast, but remains acutely aware of his family's difficulties. He is cherished by his family, particularly by his father, Bob, who often expresses profound love and concern for his well-being. Tiny Tim's role as a representation of innocence and goodness resonates throughout \"A Christmas Carol,\" leaving a lasting impression on both the characters in the story and the readers alike.", - "model": "gpt-4o-mini" - }, - "59d9eb171bdc2f6f33906a87ba51ea54": { - "return": "Christmas is a significant and festive occasion that plays a crucial role in the narrative, especially seen through the experiences of the Cratchit family and the character of Ebenezer Scrooge. It embodies themes of joy, love, generosity, and community, highlighting the importance of family togetherness and the spirit of giving. For the Cratchit family, Christmas represents a time of celebration, warmth, and gratitude, filled with merriment and social gatherings, where they come together to create cherished memories despite their modest means.\n\nIn contrast, Scrooge initially dismisses Christmas, viewing it with cynicism and referring to it as a \"humbug.\" His cold demeanor and rejection of the holiday stand in stark contrast to the joy and festive atmosphere surrounding it. Throughout the story, the holiday acts as a backdrop for his transformation, as he is confronted with his memories and reflections on joy, loneliness, and the relationships he has neglected. Christmas becomes pivotal in emphasizing the themes of redemption, generosity, and social responsibility, ultimately leading Scrooge to embrace the values he once rejected.\n\nThe holiday is depicted through scenes of communal spirit, with people engaging in festivities, celebrating with dances, and interacting joyfully in the streets. It emphasizes the positive impact of the holiday spirit on individuals and serves as a time of emotional reflection for Scrooge, marking a significant change in his character. By the end of the narrative, Christmas symbolizes a time of goodwill and transformation, as Scrooge decides to embrace the holiday's spirit of joy and giving, leaving behind his previous disdain and solitude. Overall, Christmas is central to the themes and character development within the story, highlighting the power of love, generosity, and community.", - "model": "gpt-4o-mini" - }, - "bd98cc9c05c7b7bd0c3d0422895a0500": { - "return": "Scrooge is a central character in the narrative, undergoing a profound transformation that highlights his emotional turmoil and reflective journey. Initially depicted as a miserly and cold-hearted individual, Scrooge embodies greed and displays a profound disdain for Christmas, focusing solely on his business and lacking compassion for others. He is characterized as a solitary figure, often referred to in negative terms, such as the “Ogre of the family” or as a “tight-fisted old man.” His reluctance to engage in charitable acts and his indifference towards the festive spirit of Christmas create a stark contrast to the transformation he ultimately experiences.\n\nThroughout the story, Scrooge is confronted by supernatural elements, notably the ghost of his former partner, Jacob Marley, who warns him of the consequences of his actions. This encounter sparks a series of reflections prompted by visits from three spirits, which guide him through scenes from his past, present, and future. These experiences evoke feelings of horror, agitation, and regret as he contemplates the consequences of his miserliness and the moral implications of his actions. He recalls his lonely childhood and the decisions that have shaped his pessimistic worldview, prompting deep emotional vulnerability.\n\nAs he interacts with the spirits, Scrooge witnesses both joy and hardship, particularly relating to the Cratchit family and Tiny Tim, igniting feelings of grief, longing for connection, and a recognition of his own mortality. This journey leads him to acknowledge his past mistakes and consider the impacts of his life choices on others, ultimately fostering an internal struggle between his prior skepticism and a budding capacity for empathy.\n\nBy the narrative's conclusion, Scrooge's character has undergone a significant transformation. He emerges from his experiences with a newfound joy and a commitment to generosity and compassion. He embraces the spirit of Christmas, taking steps to positively impact the lives of those around him, particularly Bob Cratchit and his family. Scrooge’s evolution from a grumpy, indifferent man to one filled with goodwill and the spirit of Christmas is central to the narrative, illustrating the themes of redemption, compassion, and the importance of community.", - "model": "gpt-4o-mini" - }, - "add8b887f3594b7b88931ad42a3ad6fa": { - "return": "Mrs. Cratchit is depicted as Bob Cratchit's supportive and industrious wife, embodying warmth and resilience amidst their financial struggles. She plays a central role in managing the household and preparing festive meals, notably the Christmas pudding, showcasing her pride in family traditions and her cooking skills. Despite feeling strong disdain for Scrooge, she passionately engages in the Christmas festivities for the sake of her family, reflecting her nurturing nature and concern for her children's well-being, particularly in regard to Tiny Tim's health. Throughout the holiday preparations, Mrs. Cratchit displays her devotion and care, striving to create a joyous atmosphere despite their limited resources. She is portrayed as both outspoken and energetic, contributing to the emotional dynamics of the family while remaining focused on their shared experiences during the Christmas celebration.", - "model": "gpt-4o-mini" - }, - "57c5e1889e1159e05b2eabaa5e57a130": { - "return": "Jacob Marley is the deceased business partner of Ebenezer Scrooge, who appears as a ghost to convey significant messages about the consequences of a life lived without compassion. He is depicted as wearing chains, which symbolize the burden of his past misdeeds and the regrets that haunt him. Marley plays a crucial role in introducing the spirits that guide Scrooge on his journey toward redemption.\n\nAs a ghost, Jacob Marley warns Scrooge about his impending fate if he continues on his selfish path, highlighting the importance of charity, kindness, and connection to humanity. Through his visitation, Marley seeks to influence Scrooge's change of heart by representing both the weight of one's past actions and the potential for transformation. His presence serves as a catalyst for Scrooge’s eventual realization of the need for change, compelling him to reflect on his life choices and the impact they have on others.", - "model": "gpt-4o-mini" - }, - "3ed3ce0022a8b1dcef7372e0b833cc7f": { - "return": "\"The Spirit\" is a multifaceted ghostly figure within the narrative, primarily guiding Ebenezer Scrooge on a transformative journey during the Christmas season. The Spirit embodies various aspects of Christmas, showcasing the themes of joy, generosity, and moral introspection. It serves as both a supernatural and emotional guide, encouraging Scrooge to witness joyful moments and the resilience of people during Christmas, thus profoundly influencing his perspective on life.\n\nThe Spirit is associated with the Ghost of Christmas Present and the Ghost of Christmas Past, symbolizing the ideas of reflection, memory, and moral guidance. It prompts Scrooge to engage deeply with his past, urging him to recognize the consequences of his actions and the significance of compassion and community in life. Furthermore, The Spirit acts as a guiding force that helps Scrooge understand the value of happiness and the importance of generosity, particularly during the festive season.\n\nThroughout the narrative, The Spirit's presence significantly alters the mood of Christmas, promoting an atmosphere of cheer and mirth as it guides Scrooge through various scenarios. It invokes critical reflections on existential queries, ultimately playing a vital role in Scrooge's transformation, pushing him towards meaningful change and a re-evaluation of his life choices. In essence, The Spirit encapsulates the collective essence of the Christmas spirits, representing a powerful influence over personal growth and transformation.", - "model": "gpt-4o-mini" - }, - "4deffd8dfd38f5cbfa1ad29b30f8c2e7": { - "return": "Bob Cratchit is a significant character in Charles Dickens' \"A Christmas Carol,\" serving as Ebenezer Scrooge's dedicated clerk and an embodiment of the struggles faced by the working class. He is depicted as a struggling yet loving family man, whose household is blessed by the Spirit of Christmas. Despite his low wages, Cratchit exhibits warmth and joy at home, particularly during the Christmas season, where he strives to maintain a positive atmosphere amidst financial hardships.\n\nAs the father of Tiny Tim and head of the Cratchit family, Bob exemplifies deep familial love and concern. He is characterized by his kindness and emotional depth, showing dedication to caring for his children and addressing Tiny Tim's well-being. Bob is a mild-mannered character who expresses happiness and appreciation during family celebrations, capturing the essence of duty and love.\n\nCratchit's arrival late to work after Christmas highlights his trepidation toward Scrooge, yet it also reflects Scrooge's newfound generosity towards him. This generosity serves as a stark contrast to Cratchit's warm and positive demeanor, which remains consistent despite his challenges. The Cratchit household is filled with a warm atmosphere, where Cratchit's joy during their Christmas dinner stands in contrast to Scrooge's initial miserly attitude.\n\nIn summary, Bob Cratchit is not only a devoted father and husband but also a representation of resilience, hope, and the importance of family. He embodies the spirit of joy amidst adversity, making him a compelling and heartwarming character within the narrative of \"A Christmas Carol.\"", - "model": "gpt-4o-mini" - }, - "e8dfb51c975f7be9e3123d191be1780c": { - "return": "\"The Ghost\" refers to a spectral manifestation of Jacob Marley, who appears to communicate a crucial message to Ebenezer Scrooge regarding the spiritual consequences of his life choices. This supernatural entity serves multiple roles, including guiding Scrooge through reflections on his past and evoking feelings of realization and remorse about his behavior. The Ghost represents a crucial figure in Scrooge's journey toward redemption, highlighting the importance of human virtue and kindness, and warning him about the dire repercussions of neglecting these values throughout his life.\n\nDescribed as a strange figure possessing qualities both of a child and an old man, The Ghost embodies the supernatural intervention in Scrooge's life. It facilitates his transformation by revealing lessons about kindness, death, and the emotional repercussions of one’s actions. The Ghost shows Scrooge various scenes from his past and the joys of family, emphasizing the significance of Christmas and serving as a catalyst for self-reflection.\n\nAdditionally, The Ghost instills a sense of dread in Scrooge while symbolizing the theme of redemption. This spectral figure conveys an important message regarding the impending visits from three spirits and helps Scrooge confront and come to terms with his past. Overall, The Ghost encapsulates themes of change, redemption, and moral lessons, acting as a guiding presence that ultimately influences Scrooge's emotional state and paves the way for his ultimate redemption.", - "model": "gpt-4o-mini" - }, - "59a8f621f87e84f74cfe9e6d613bf489": { - "return": "Tiny Tim, whose full name is Tim Cratchit, is a significant character in Charles Dickens' \"A Christmas Carol,\" serving as the youngest son of Bob Cratchit. He is depicted as a frail child who embodies innocence, vulnerability, and hope, symbolizing resilience in the face of adversity. Despite his struggles with health—characterized by being a cripple—Tiny Tim maintains a joyful spirit and a positive attitude that brings joy to those around him.\n\nTiny Tim's character plays multiple essential roles within the narrative. He serves as a poignant reminder of the harsh realities of illness and poverty experienced by the Cratchit family, highlighting their struggles and evoking compassion from others, including Ebenezer Scrooge. His well-being is central to the family's emotional state, embodying their hopes for the future and the love that binds them together. Tiny Tim's presence is particularly impactful for Scrooge, illustrating how transformation and generosity can influence lives profoundly.\n\nIn addition to his role within the Cratchit family, Tiny Tim participates in festive celebrations, such as the Christmas toast, but remains acutely aware of his family's hardships. Cherished by his family, especially by his father, Bob Cratchit, Tiny Tim is often a focal point of love and concern, reinforcing the themes of family and togetherness. He represents innocence and goodness, leaving a lasting impression on both the characters within the story and the readers, ultimately embodying the spirit of Christmas and the possibility of hope and renewal.", - "model": "gpt-4o-mini" - }, - "815211ca6ec39c366a42a5e2c3c070a4": { - "return": "Christmas is a significant and festive season that embodies themes of joy, love, generosity, and community, playing a crucial role in the narrative, particularly through the experiences of the Cratchit family and the character of Ebenezer Scrooge. It is depicted as a time for family togetherness, celebration, and emotional reflection. During this holiday, the Cratchit family experiences warmth, gratitude, and merriment, creating cherished memories despite their modest circumstances.\n\nIn stark contrast, Scrooge initially approaches Christmas with cynicism, dismissively referring to it as a \"humbug\" and rejecting the joy and goodwill that the season represents. His cold demeanor and disdain for the holiday stand in stark opposition to the spirit of generosity and community that prevails around him. Throughout the story, Christmas serves as the backdrop for Scrooge’s transformation, forcing him to confront his past and the relationships he has neglected, which becomes a critical aspect of his character development.\n\nThe narrative highlights Christmas as a time of joy and giving, emphasizing the importance of social responsibility and emotional connections within a community. It showcases joyful scenes of people celebrating, dancing, and engaging in festive activities, which starkly contrast with Scrooge's earlier solitude and disdain. By the end, Christmas symbolizes redemption and transformation for Scrooge, as he ultimately decides to embrace the holiday's spirit of goodwill, leaving behind his previous bitterness. Consequently, Christmas emerges as a pivotal element that reinforces the story's exploration of redemption, generosity, and the transformative power of love and community.", - "model": "gpt-4o-mini" - }, - "6dffff0a09e2e507bceeff9f01b83775": { - "return": "Scrooge is a central character in the narrative who undergoes a profound transformation, highlighted by his emotional turmoil and reflective journey. Initially depicted as a miserly, cold-hearted individual characterized by greed and a disdain for Christmas, Scrooge embodies the traits of a solitary figure, often referred to negatively as the “Ogre of the family” or a “tight-fisted old man.” His lack of compassion for others and reluctance to engage in charitable acts create a stark contrast to the growth he eventually experiences.\n\nThe turning point in Scrooge's journey begins with a haunting visit from the ghost of his former business partner, Jacob Marley, who warns him of the dire consequences of his actions. This encounter sets off a series of supernatural visits from three spirits that guide Scrooge through his past, present, and future. Through these reflections, Scrooge experiences horror, agitation, and regret as he contemplates the implications of his miserliness, recalling lonely moments from his childhood and decisions that fostered his pessimistic outlook on life.\n\nAs he interacts with the spirits, Scrooge witnesses both joy and hardship, particularly in relation to the Cratchit family and Tiny Tim, which ignites feelings of grief and a longing for connection. This emotional journey leads him to recognize his mortality and the impact of his life choices on others, sparking an internal struggle between his prior skepticism and a burgeoning capacity for empathy.\n\nBy the conclusion of the story, Scrooge has experienced a significant transformation. Emerging from his encounters with a newfound sense of joy and a commitment to kindness, he embraces the spirit of Christmas, striving to positively influence the lives of those around him, especially Bob Cratchit and his family. Scrooge’s evolution from a grumpy, indifferent man to one filled with goodwill encapsulates the narrative's themes of redemption, compassion, and the importance of community, demonstrating that change is possible and that love and generosity can triumph over isolation and greed.", - "model": "gpt-4o-mini" - }, - "efe2e79f30a5c3dd8e37940721610fe1": { - "return": "Fred is Ebenezer Scrooge's lively nephew, who embodies the spirit of Christmas and serves as a striking contrast to Scrooge's misanthropic nature. He represents familial love and joy, often inviting Scrooge to family gatherings and emphasizing the importance of familial connections during the holiday season. Fred expresses admiration for his uncle and raises a toast in his honor at Christmas gatherings, showcasing his warmth and festive spirit. His character highlights the warmth of family that Scrooge initially rejects, and he is depicted as a friendly figure who is surprised and pleased by Scrooge's unexpected visits. Overall, Fred exemplifies the joy and unity of Christmas, passionately inviting Scrooge to embrace the happiness associated with the holiday and family.", - "model": "gpt-4o-mini" - }, - "e28347f5e0a769b02f98c737fd20b023": { - "return": "Fezziwig is a character renowned for his role as a joyful and jovial employer who hosts domestic balls, creating an atmosphere filled with happiness and merriment for his participants. He is depicted as a kind-hearted figure who organizes lively Christmas festivities for his employees, exemplifying kindness and generosity. Fezziwig plays a significant role in the memories of Ebenezer Scrooge, being portrayed as his former employer who embodies the true spirit of Christmas.\n\nHe is often seen dancing with his wife, Mrs. Fezziwig, which further illustrates his cheerful nature and the festive spirit surrounding the celebrations. As the owner of a business where these vibrant festivities take place, Fezziwig is celebrated for his ability to create a lively and joyful environment, leaving a lasting impression on those who encounter him during the festive seasons. His portrayal encapsulates the essence of joy, generosity, and the festive spirit, making him a beloved character in the narrative of Scrooge's past.", - "model": "gpt-4o-mini" - }, - "44b4969e464de1b68cd7fffc2df10107": { - "return": "Marley is Scrooge's deceased business partner, whose presence looms over the narrative of the story, symbolizing the dire consequences of a life lived without compassion and care for others. His death serves as a significant event that sets the tone for the plot and reflects the overarching themes of regret and the supernatural.\n\nMarley passed away seven years prior to the events depicted, making his spectral appearance even more impactful. Despite being a character who is only mentioned throughout much of the story, his influence on Scrooge is profound, as reflections and memories of Marley shape Scrooge's perspective on life and relationships. This ghostly figure is depicted distinctly with a pigtail, waistcoat, tights, and boots, making him central to Scrooge's haunting experience.\n\nOverall, Marley represents the weight of past actions and the importance of empathy, acting as a harbinger of transformation for Scrooge. His ghostly manifestation evokes both fear and introspection, ultimately contributing to the moral lessons embedded in the tale.", - "model": "gpt-4o-mini" - }, - "3a3eb8f6a4024ed5f54a09bece900570": { - "return": "\"The Spirit\" is a multifaceted supernatural entity guiding Ebenezer Scrooge through a transformative journey during the Christmas season. It is portrayed as a ghostly figure, encompassing the Ghost of Christmas Present and the Ghost of Christmas Past, and serves to illuminate various themes including joy, generosity, and moral introspection. Throughout the narrative, The Spirit influences Scrooge's emotional journey, encouraging him to reflect on his past and understand the consequences of his actions.\n\nAs a guiding force, The Spirit prompts Scrooge to engage deeply with his memories, helping him realize the value of happiness and the importance of compassion and community in life. It plays a critical role in shaping the atmosphere of Christmas, promoting an environment filled with cheer and mirth as it leads Scrooge through moments of reflection and revelry. \n\nBy embodying the collective essence of the Christmas spirits, The Spirit acts as a moral compass for Scrooge, pushing him towards meaningful change and a reevaluation of his life choices. Ultimately, The Spirit serves as both a supernatural guide and an emotional influence, signifying the profound impact of reflection, memory, and personal transformation during the holiday season.", - "model": "gpt-4o-mini" - }, - "cf82d8a7e6a0ae8cf73878e2a910fef0": { - "return": "Tiny Tim, whose real name is Tim Cratchit, is a significant character in Charles Dickens' \"A Christmas Carol\" and is portrayed as Bob Cratchit's youngest son. He symbolizes hope, innocence, and resilience amidst the hardships faced by the Cratchit family, who struggle with poverty and illness. Described as a frail child and a cripple, Tiny Tim maintains an optimistic outlook and a joyful spirit, bringing joy to those around him and embodying the essence of goodness.\n\nTiny Tim's well-being is pivotal to the emotional state of his family, as he represents their hopes for the future and the love that unites them. His presence serves as a poignant reminder of the challenges posed by illness and poverty, evoking compassion from others, particularly Ebenezer Scrooge. Through Tiny Tim, the narrative conveys themes of family, generosity, and the potential for transformation, illustrating how acts of kindness can profoundly impact lives.\n\nDespite being acutely aware of his family's hardships, Tiny Tim participates in festive celebrations, such as the Christmas toast, showcasing his ability to embody the spirit of Christmas. Cherished by his family, particularly by his father, Bob Cratchit, Tiny Tim is often at the center of love and concern, reinforcing his role as a symbol of innocence and hope. Overall, Tiny Tim leaves a lasting impression on both other characters and readers, encapsulating the themes of hope and renewal that resonate throughout the story.", - "model": "gpt-4o-mini" - }, - "d34942c45d6b2e409bbd81368ef59b2f": { - "return": "Bob Cratchit is a significant character in Charles Dickens' \"A Christmas Carol,\" serving as Ebenezer Scrooge's dedicated clerk and an embodiment of the struggles faced by the working class. He is depicted as a struggling yet loving family man, whose household is blessed by the Spirit of Christmas. Despite his low wages, Cratchit exhibits warmth and joy at home, particularly during the festive season, striving to maintain a positive atmosphere amidst financial hardships. \n\nAs the father of Tiny Tim and head of the Cratchit family, Bob exemplifies deep familial love and concern, demonstrating kindness and emotional depth while caring for his children. He is portrayed as a mild-mannered character who expresses happiness and appreciation during family celebrations, capturing the essence of duty and love. Bob's affection for his children and his consistent concern for Tiny Tim's well-being highlight his dedication to family life.\n\nCratchit's arrival late to work after Christmas illustrates his trepidation about Scrooge, though it also signals Scrooge's newfound generosity towards him. This contrast underscores Cratchit's warm and positive demeanor, which remains steadfast despite his challenges. The Cratchit household radiates warmth, with Bob’s joy during their Christmas dinner sharply contrasting Scrooge's initial miserly attitude.\n\nIn summary, Bob Cratchit is not only a devoted father and husband but also a representation of resilience, hope, and the importance of family. He embodies the spirit of joy amidst adversity, making him a compelling and heartwarming character within the narrative of \"A Christmas Carol.\"", - "model": "gpt-4o-mini" - }, - "b3aedce96ee5cb39cf093e445c918444": { - "return": "Christmas is a significant and festive season that embodies themes of joy, love, generosity, and community. It plays a crucial role in the narrative, particularly through the experiences of the Cratchit family and the character of Ebenezer Scrooge. The holiday is depicted as a time for family togetherness, celebration, and emotional reflection. During this season, the Cratchit family experiences warmth, gratitude, and merriment, creating cherished memories despite their modest circumstances.\n\nIn stark contrast, Scrooge initially approaches Christmas with cynicism, dismissively referring to it as a \"humbug\" and rejecting the joy and goodwill that the season represents. His cold demeanor and disdain for the holiday stand in opposition to the spirit of generosity and community that prevails around him. The narrative highlights Christmas as a time of joy and giving, emphasizing the importance of social responsibility and emotional connections within a community.\n\nThroughout the story, Christmas serves as the backdrop for Scrooge’s transformation, forcing him to confront his past and the relationships he has neglected, which becomes a critical aspect of his character development. The holiday is also referenced as one that Scrooge's Nephew is passionate about, further contrasting with Scrooge's cynical views.\n\nAs the story unfolds, Christmas symbolizes redemption and change for Scrooge, who ultimately decides to embrace the holiday's spirit of goodwill and abandon his previous bitterness. Christmas emerges as a pivotal element that reinforces the story's exploration of redemption, generosity, and the transformative power of love and community. Joyful scenes of people celebrating, dancing, and engaging in festive activities starkly contrast with Scrooge's earlier solitude and disdain, highlighting the pervasive influence of this festive occasion on the thoughts and behaviors of all characters involved.", - "model": "gpt-4o-mini" - }, - "9abfb7726432aeb32d6e7505c94f41c5": { - "return": "The Ghost is a crucial supernatural being in the narrative that interacts with Ebenezer Scrooge, guiding him through a transformative journey. Described as a strange figure exhibiting qualities of both a child and an old man, The Ghost embodies the supernatural intervention in Scrooge's life, serving as a catalyst for self-reflection and moral realization. This spectral manifestation, identified as the apparition of Jacob Marley, instills dread in Scrooge while simultaneously delivering a critical message about the repercussions of his choices and the need for change.\n\nThroughout his encounters with The Ghost, Scrooge is shown various scenes from his past, which evoke deep emotions and highlight the joys of family and the significance of Christmas. The Ghost emphasizes themes of redemption, kindness, and the emotional consequences of one's actions, urging Scrooge to confront his past and reconsider his life choices. This supervision reveals lessons about the importance of human virtue and the need for compassion towards others.\n\nUltimately, The Ghost acts as a guiding presence, influencing Scrooge's emotional state and facilitating his journey toward redemption. By confronting his past and acknowledging the impending visits from three spirits, Scrooge begins to understand the value of kindness and the dire consequences of neglecting these moral values throughout his life. In summary, The Ghost serves as a key figure in Scrooge's transformation, encapsulating the overarching themes of change, redemption, and moral lessons.", - "model": "gpt-4o-mini" - }, - "95271b66695b07bc0cb726ac6c085621": { - "return": "Scrooge is a central character in the narrative, whose journey encapsulates profound emotional turmoil and transformation. Initially depicted as a miserly, cold-hearted individual characterized by greed and a disdain for Christmas, Scrooge is often referred to negatively as the “Ogre of the family” or a “tight-fisted old man.” His lack of compassion for others and reluctance to engage in charitable acts highlight his solitary nature and indifference to the festive spirit.\n\nThe turning point in Scrooge's journey begins with a haunting visit from the ghost of his former business partner, Jacob Marley. This encounter warns him of the dire consequences of his actions and sets off a series of supernatural visits from three spirits that guide Scrooge through his past, present, and future. As he reflects on his life during these encounters, he experiences horror, agitation, and regret, particularly as he contemplates the implications of his miserliness and recalls lonely moments from his childhood.\n\nThrough interactions with the spirits, Scrooge witnesses both joy and sorrow, particularly in his observations of the Cratchit family and Tiny Tim. These reflections ignite feelings of grief and a longing for connection, prompting Scrooge to recognize his mortality and the far-reaching impact of his life choices on others. This emotional struggle fosters a conflict between his prior skepticism and a burgeoning capacity for empathy.\n\nUltimately, by the conclusion of the story, Scrooge undergoes a significant transformation. Emerging from his encounters with a newfound sense of joy and commitment to kindness, he embraces the spirit of Christmas and strives to positively influence the lives of those around him, especially Bob Cratchit and his family. His evolution from a grumpy, indifferent man to one filled with goodwill encapsulates the narrative's themes of redemption, compassion, and community, demonstrating that change is not only possible but that love and generosity can triumph over isolation and greed.", - "model": "gpt-4o-mini" - }, - "37d40959756e2d80647ca38e1495c668": { - "return": "Peter Cratchit is the eldest son of Bob and Mrs. Cratchit, characterized by his youthful innocence and enthusiasm. He actively participates in the festive meal preparation, expressing excitement about dressing up and contributing to the family's Christmas celebration. As a member of the Cratchit family, Peter embodies the joy and unity of the household, particularly highlighted during their interactions surrounding Tiny Tim, his ailing younger brother. Additionally, Peter is portrayed as contemplative regarding his future, considering a potential job opportunity. This combination of excitement for the present and reflection on the future underscores his dynamic role within the family, illustrating the themes of hope and resilience amidst their challenges.", - "model": "gpt-4o-mini" - }, - "188ced6a51350b354e6ca595ad900a7b": { - "return": "The Children are a lively and joyful group experiencing wonder and delight, especially during the gift-giving scenes of the Christmas festivities. They embody innocence and joy, highlighting the untainted happiness of childhood, a happiness that Ebenezer Scrooge longs to reconnect with. Among them are the offspring of the Cratchit family, who, despite the struggles their family faces, react with laughter and cheer during the Christmas celebrations. The Children symbolize familial warmth and chaotic joy in various settings, including the matron's home and their own family's environment, showcasing their carefree nature and the profound effects of their circumstances on their happiness. Overall, they represent the pure and curious essence of childhood, serving as a reminder of the happiness that can persist even amidst adversity.", - "model": "gpt-4o-mini" - }, - "fcb702d894133971cc60f02ab4abd547": { - "return": "Scrooge's Nephew is a cheerful and optimistic character who embodies the spirit of Christmas, consistently challenging his uncle Scrooge's gloomy outlook on both Christmas and life. He is characterized by his contagious laughter and good humor, starkly contrasting with Scrooge's miserliness and pessimism. This jovial character actively participates in family gatherings, engaging in games and displaying a joyful demeanor. He finds humor in Scrooge's ill temper and wealth, often emphasizing the positive qualities of Christmas despite his uncle's negativity. Warm-hearted and determined, Scrooge's Nephew makes repeated attempts to involve Scrooge in the festive spirit, even in the face of his uncle's rebuffs. Overall, he represents a vibrant spirit of joy and laughter, serving as a lively counterpoint to Scrooge's initial persona.", - "model": "gpt-4o-mini" - }, - "be4078c8712b67c5254f0b1615306cb1": { - "return": "Project Gutenberg is a digital library and organization dedicated to the free distribution of electronic works, particularly eBooks that are not protected by U.S. copyright law. It offers access to a vast array of literature, allowing for worldwide distribution under specific conditions. The organization aims to promote accessibility to literature without restrictions, providing eBooks in various formats to users globally.\n\nProject Gutenberg relies on the support of volunteers and donations to maintain its extensive collection, which serves the purpose of preserving cultural heritage through public domain literature. Additionally, the organization holds a compilation copyright for its collection, ensuring that its offerings are both legally sound and accessible to the public.\n\nIn essence, Project Gutenberg is committed to making literature freely available to everyone, championing the cause of open access to knowledge and cultural works.", - "model": "gpt-4o-mini" - }, - "2fe8db04e6bf5b1d1d50e7a3d1da3654": { - "return": "Mrs. Cratchit is Bob Cratchit's devoted and hardworking wife, who plays a vital role in nurturing their family. She is characterized by her strong dedication to creating a joyous atmosphere in their home, despite the financial difficulties they face. As the mother of the Cratchit family, Mrs. Cratchit is nurturing and energetic, diligently managing Christmas preparations and ensuring that her children are well taken care of.\n\nProud of her cooking skills, particularly her Christmas pudding, Mrs. Cratchit showcases her commitment to family traditions. During the holiday festivities, she is actively involved, embodying warmth and resilience as she prepares meals and engages in celebrations that lift her family’s spirits. Her love for her family is evident as she expresses concern for her children, especially Tiny Tim, whose health brings emotional depth to their Christmas gathering.\n\nWhile she is portrayed as outspoken and harboring resentment towards Scrooge, she ultimately puts aside her feelings to fully participate in the Christmas festivities for the sake of her family. Her character embodies a blend of strength and vulnerability, reflecting both her pride and her struggles, and she remains a pivotal figure in the family's emotional dynamics during the holiday season.", - "model": "gpt-4o-mini" - }, - "6738bfb81d8ab602900c4355ac2a7283": { - "return": "Christmas is a significant and festive season that embodies themes of joy, love, generosity, and community, playing a crucial role in the narrative, particularly through the experiences of the Cratchit family and Ebenezer Scrooge. It is depicted as a time for family togetherness, celebration, and emotional reflection. For the Cratchit family, Christmas is a period marked by warmth, gratitude, and merriment, creating cherished memories despite their modest circumstances.\n\nIn contrast, Scrooge initially approaches Christmas with cynicism, referring to it dismissively as a \"humbug\" and rejecting the joy and goodwill that the season represents. His cold demeanor and disdain starkly oppose the spirit of generosity and community that permeates the holiday. The narrative emphasizes Christmas as a time of celebration and change, showcasing social responsibility and the importance of emotional connections within a community.\n\nChristmas serves as the backdrop for Scrooge's transformation, compelling him to confront his neglected relationships and past choices, which is integral to his character development. It is also associated with his Nephew, who passionately advocates for the holiday, further highlighting the contrast with Scrooge's cynical views.\n\nAs the story progresses, Christmas symbolizes redemption and change for Scrooge, who ultimately embraces the holiday's spirit of goodwill and abandons his bitterness. The festive occasion emerges as a pivotal element that reinforces exploration of redemption, generosity, and the transformative power of love and community. Joyful scenes of people celebrating, dancing, and engaging in festive activities sharply contrast with Scrooge's earlier solitude and disdain, underscoring the profound influence of Christmas on the thoughts and behaviors of all characters involved.", - "model": "gpt-4o-mini" - }, - "ad29dacc156636211c9e2acee1036972": { - "return": "Jacob Marley is Scrooge's deceased business partner, who appears as a ghost, prominently wearing chains that symbolize the burdens of his past misdeeds and the weight of his regrets. As a spirit, Marley plays a pivotal role in influencing Ebenezer Scrooge's journey toward redemption. He visits Scrooge to convey significant messages about the dire consequences of a life devoid of compassion and the critical importance of charity and kindness.\n\nMarley's haunting presence serves as a warning to Scrooge about his impending fate if he continues on his selfish and isolated path. He is depicted as showing genuine concern for Scrooge's welfare and the necessity for transformative change in his life. Through his visitation, Marley acts as a catalyst, compelling Scrooge to reflect on his past actions and their impact on others. His connection to Scrooge's history reinforces the themes of redemption and personal responsibility, emphasizing the potential for transformation and renewal in the face of prior wrongdoings. Ultimately, Jacob Marley's spirit not only acts as a reminder of the consequences of one's choices but also highlights the possibility of change and growth through self-awareness and connection to humanity.", - "model": "gpt-4o-mini" - }, - "9e37b2e1b4c1dc22f558c100c91e6019": { - "return": "The \"Spirit\" represents a multifaceted supernatural entity that plays a crucial role in guiding Ebenezer Scrooge through profound reflections on his life, death, and human emotions. Central to the narrative is the Spirit's embodiment of the essence of Marley, which interacts with Scrooge to highlight themes related to the afterlife and unresolved issues. The Spirit manifests as various figures, most notably the Ghost of Christmas Present, who personifies the themes of generosity, merriment, and the true spirit of the Christmas season.\n\nThroughout Scrooge's journey, the Spirit serves as a guide, leading him through memories of his past, reflecting his former self and the influence of time on his character. The entity illustrates important lessons about compassion, social responsibility, and the consequences of his actions, urging Scrooge to confront societal issues and fostering self-awareness.\n\nThe Spirit also emphasizes the somber aspects of life, illustrating lessons about mortality and the inevitability of death, prompting Scrooge to reflect on the implications of his life choices. Overall, the Spirit encapsulates the intersection of compassion, humanity, and the moral lessons inherent in the experience of life, serving as a catalyst for Scrooge's transformation and awakening.", - "model": "gpt-4o-mini" - }, - "d09833d296d89df6958b8a318f3b82a0": { - "return": "The Ghost is a crucial supernatural being in the narrative of Ebenezer Scrooge, playing a significant role in his transformative journey. Described as a strange figure that embodies qualities of both a child and an old man, The Ghost represents supernatural intervention in Scrooge's life and serves as a catalyst for self-reflection and moral realization. This spectral manifestation is identified as the apparition of Jacob Marley, who instills a sense of dread in Scrooge while delivering an important message about the repercussions of his actions and the necessity for change.\n\nThroughout their encounters, The Ghost guides Scrooge by revealing various scenes from his past, which evoke poignant emotions and highlight the joys of family and the significance of Christmas. It emphasizes key themes of redemption, kindness, and the emotional consequences of one's actions, urging Scrooge to confront his past and reconsider his life choices. This guidance underscores the importance of human virtue and the need for compassion towards others.\n\nUltimately, The Ghost acts as a guiding presence that influences Scrooge's emotional state and facilitates his journey toward redemption. By facing his past and opening himself to the lessons imparted by The Ghost, Scrooge begins to understand the value of kindness and the severe consequences of neglecting these moral principles throughout his life. In summary, The Ghost is a vital figure in Scrooge's transformation, encapsulating the overarching themes of change, redemption, and moral lessons.", - "model": "gpt-4o-mini" - }, - "ee7cb608fe472e9b3ae5d4c29e57f3fc": { - "return": "Scrooge is a central character in the narrative, initially depicted as a miserly, cold-hearted individual characterized by greed and a disdain for Christmas. Often referred to negatively as the \"Ogre of the family\" or a \"tight-fisted old man,\" Scrooge exemplifies a lack of compassion for others and a reluctance to engage in charitable acts, reflecting his solitary nature and indifference to the festive spirit.\n\nThe turning point in Scrooge's journey occurs with a haunting visit from the ghost of his former business partner, Jacob Marley. This encounter serves as a warning of the dire consequences of his actions and sets off a series of supernatural visits from three spirits, which guide Scrooge through his past, present, and future. During these encounters, Scrooge experiences horror, agitation, and regret, particularly as he grapples with the implications of his miserliness and recalls lonely moments from his childhood.\n\nThrough his interactions with the spirits, Scrooge witnesses both joy and sorrow, becoming especially affected by the plight of the Cratchit family and Tiny Tim. These reflections ignite feelings of grief and a longing for connection, prompting him to recognize his mortality and the far-reaching impact of his life choices on those around him. This emotional struggle fosters a conflict between Scrooge's prior skepticism about the supernatural and a developing capacity for empathy.\n\nUltimately, by the conclusion of the story, Scrooge undergoes a profound transformation. Emerging from his encounters with a newfound sense of joy and commitment to kindness, he fully embraces the spirit of Christmas and strives to positively influence the lives of those around him, particularly his employee Bob Cratchit and his family. Scrooge's evolution from a grumpy, indifferent man to one filled with goodwill encapsulates the narrative's themes of redemption, compassion, and community, demonstrating that change is not only possible, but that love and generosity can triumph over isolation and greed.", - "model": "gpt-4o-mini" - }, - "3d41833fd70a98b647240ffdacdf5db3": { - "return": "Bob Cratchit is a significant character in Charles Dickens' \"A Christmas Carol,\" serving as Ebenezer Scrooge's dedicated clerk. He is depicted as a struggling yet loving family man who embodies the challenges faced by the working class, highlighting the importance of family in the narrative. Despite enduring low wages, Cratchit demonstrates warmth and joy during the Christmas season, striving to maintain a positive atmosphere at home amidst financial hardships.\n\nAs the father of Tiny Tim and head of the Cratchit family, Bob exemplifies deep familial love and concern. He is characterized by his kindness and emotional depth, caring for his children and expressing affection for them, particularly during family celebrations. His happiness during the festive season underscores his duty as a father and husband, showcasing his resilience in the face of adversity.\n\nCratchit’s late arrival to work after Christmas illustrates his anxiety about Scrooge, which contrasts with the newfound generosity Scrooge begins to show him. This contrast further emphasizes Cratchit's positive demeanor, which remains unwavering despite his struggles. The warmth of the Cratchit household, particularly during their Christmas dinner, sharply contrasts with Scrooge's initial miserly attitude, highlighting the spirit of joy that Cratchit embodies.\n\nOverall, Bob Cratchit is not only a devoted father and husband but also a poignant symbol of resilience, hope, and the profound significance of family within the narrative, making him a compelling and heartwarming figure in \"A Christmas Carol.\"", - "model": "gpt-4o-mini" - }, - "2790c87e7adc96ca16c5adfe8302b4ef": { - "return": "Tiny Tim, whose real name is Tim Cratchit, is a poignant character in Charles Dickens' \"A Christmas Carol.\" He is depicted as the youngest son of Bob Cratchit and symbolizes hope, innocence, and resilience amidst the hardships faced by the Cratchit family, who struggle with poverty and illness. Tiny Tim is characterized by his frail health and is described as a cripple; despite this, he possesses a joyful spirit and maintains an optimistic outlook, serving as a source of joy for those around him.\n\nTiny Tim's well-being is central to the emotional landscape of the Cratchit family, representing their hopes for a better future and the love that bonds them together. His presence reminds others of the challenges posed by illness and poverty, evoking compassion, particularly from Ebenezer Scrooge, who transforms from a miser into a more generous figure through his reflections on Tiny Tim's situation.\n\nThe character is often referenced by Scrooge and serves as a symbol of innocence and the spirit of Christmas. Tiny Tim participates in festive celebrations, such as the Christmas toast, displaying his ability to embody the true essence of the holiday season despite his family's struggles. Cherished by his father, Bob Cratchit, and his family, Tiny Tim reinforces the narrative's themes of family, generosity, and the transformative power of kindness.\n\nUltimately, Tiny Tim leaves a lasting impression on both the characters within the story and the readers, encapsulating the themes of hope and renewal that resonate throughout \"A Christmas Carol.\" His legacy is not only of innocence and vulnerability but also of the indomitable spirit that inspires hope in times of adversity.", - "model": "gpt-4o-mini" - }, - "7fa3342d360c51e527cdac3518f7e543": { - "return": "Mrs. Fezziwig is the warm and kind partner of Mr. Fezziwig, playing a vital role in creating a festive atmosphere during their domestic celebrations, particularly at the Christmas ball. She embodies companionship and festive cheer, participating actively in the dances alongside her husband. Mrs. Fezziwig is known for her bright smile and joyous nature, contributing significantly to the warmth and cheer of the events they host together. Her presence and participation greatly enhance the overall ambiance, emphasizing the importance of joyous gatherings in their celebrations. Through her engagement in the festivities, Mrs. Fezziwig represents the spirit of holiday joy and communal celebration.", - "model": "gpt-4o-mini" - }, - "ef9b4ecb09f93b9786b7c80f6f9a16bb": { - "return": "Ebenezer Scrooge is a central character in Charles Dickens' \"A Christmas Carol,\" portrayed as a miserly and cold-hearted old man who undergoes a significant transformation. Known for his past connections and interactions, particularly with figures like Fezziwig and Dick Wilkins, Scrooge initially embodies selfishness and greed. Throughout the narrative, he experiences confusion and fear regarding the passage of time and is especially troubled by visitations from supernatural entities, which serve as catalysts for his change. Scrooge's journey illustrates his profound transformation, moving from a life of isolation and avarice to one filled with generosity and compassion, ultimately redefining his character from that of a miser to a benefactor.", - "model": "gpt-4o-mini" - }, - "c50ee4c8d609063ed3ba3d5cb617351d": { - "return": "Marley's Ghost is a spectral figure representing Jacob Marley, Ebenezer Scrooge's former business partner, who has returned to convey a crucial message about guilt, redemption, and the consequences of one's actions. This unearthly visitor appears to Scrooge to warn him of the impending visits from three spirits, intensifying themes of remorse and the necessity for transformation in Scrooge's life. Marley, having been dead for seven years, symbolizes the regret of a life poorly lived. His apparition deeply troubles Scrooge, prompting him to question the nature of reality and forcing him to confront the distressing realities of his past deeds. Ultimately, Marley's Ghost serves as a harbinger of change, urging Scrooge to reflect on his life choices and the potential for redemption.", - "model": "gpt-4o-mini" - }, - "7d61a97a91ffb6cc808c6ee67e1e9cb0": { - "return": "The Woman is a bold and defiant character who engages in humorous and lively exchanges, particularly with Joe, concerning the deceased and their belongings. She showcases a carefree attitude towards the former owner of these belongings, instigating discussions with a notable lack of reverence for the deceased. Throughout their conversations, The Woman provides light-hearted responses and laughs at the absurdity of their discussions, emphasizing her humorous demeanor.\n\nShe enters a shop with a heavy bundle, which further illustrates her assertive presence. Despite her engaging nature, her interactions reflect a focus on material gain rather than solemnity, making her a central figure in the dialogue that unfolds. Overall, The Woman embodies both a lively and irreverent spirit, contributing significantly to the dynamics of the conversations surrounding the deceased and their possessions.", - "model": "gpt-4o-mini" - }, - "78813d2c107b60441e3031c89577eacc": { - "return": "The Project Gutenberg Literary Archive Foundation is a 501(c)(3) non-profit educational corporation dedicated to increasing access to public domain and licensed works in machine-readable form. Established to ensure the free distribution of electronic works, the Foundation is committed to maintaining the Project Gutenberg™ collection for future generations. It serves as the organization that manages the Project Gutenberg trademark and oversees rights, licensing, and royalty payments associated with the organization. Additionally, it is focused on securing the future of Project Gutenberg's activities and contributions, fostering the availability of literary works that can be freely enjoyed by the public. Through its initiatives, the Foundation aims to expand the reach of literature and education by advancing access to a vast array of works.", - "model": "gpt-4o-mini" - }, - "39955fa986c78edd05f65a4bbde6617c": { - "return": "Topper is a lively and mischievous character who plays a significant role in the festive gathering associated with Scrooge's family. He is known for his jovial nature and participates actively in games, embodying the celebratory spirit of the Christmas party. As a guest at the gathering, Topper contributes to the joyful atmosphere alongside Fred and Scrooge. He is also noted for his playful and somewhat roguish demeanor, which enhances the merriment of the events.\n\nIn addition to his role as a cheerful participant, Topper is a member of Scrooge's niece's social circle, where he showcases his romantic inclinations, particularly towards one of Scrooge's niece's sisters. This intersection of playful behavior and romantic interest further enriches his character, making him an integral part of the festive celebrations. Overall, Topper exemplifies the spirit of joviality and camaraderie during the holiday season, solidifying his place as a memorable guest at the Christmas festivities.", - "model": "gpt-4o-mini" - }, - "a0f037be8304d857f6992dc5495a79c1": { - "return": "\"The Ghost\" is a crucial supernatural being in the narrative of Ebenezer Scrooge, playing a significant role in his transformative journey. Described as a strange figure that embodies qualities of both a child and an old man, The Ghost symbolizes supernatural intervention in Scrooge's life and serves as a catalyst for self-reflection and moral realization. This spectral manifestation is identified as the apparition of Jacob Marley, who instills a sense of dread in Scrooge while delivering an important message about the repercussions of his actions and the necessity for change.\n\nThroughout their encounters, The Ghost guides Scrooge by revealing various scenes from his past, which evoke poignant emotions and highlight the joys of family and the significance of Christmas. It emphasizes key themes of redemption, kindness, and the emotional consequences of one's actions, urging Scrooge to confront his past and reconsider his life choices. The Ghost serves as a supernatural guide, illustrating the importance of human virtue and the need for compassion towards others.\n\nUltimately, The Ghost acts as a guiding presence that influences Scrooge's emotional state and facilitates his journey toward redemption. By facing his past and opening himself to the lessons imparted by The Ghost, Scrooge begins to understand the value of kindness and the severe consequences of neglecting these moral principles throughout his life. In summary, The Ghost encapsulates the overarching themes of change, redemption, and moral lessons, proving vital in Scrooge's transformation.", - "model": "gpt-4o-mini" - }, - "005ab373369a34ce3326ba3b09d1896b": { - "return": "Tiny Tim, whose full name is Tim Cratchit, is a poignant character in Charles Dickens' \"A Christmas Carol.\" He is depicted as the youngest son of Bob Cratchit within a family that struggles with the hardships of poverty and illness. Tiny Tim symbolizes hope, innocence, and resilience amidst these challenges, with his frail health often leading him to be described as a cripple. Despite his physical limitations, he possesses a joyful spirit and maintains an optimistic outlook, which serves as a source of joy for those around him.\n\nTiny Tim's well-being is central to the emotional landscape of the Cratchit family, representing their hopes for a better future and the love that binds them together. His character evokes compassion and reflection from others, particularly Ebenezer Scrooge, who transforms from a miserly figure into a more generous person inspired by Tiny Tim's situation. Tiny Tim is often referenced by Scrooge and embodies the true essence of the Christmas spirit, participating in festive celebrations with a cheerful demeanor, embodying innocence and goodness despite the challenges presented by his health.\n\nCherished by his family, especially by his father, Bob Cratchit, Tiny Tim reinforces the narrative's themes of family, generosity, and the transformative power of kindness. His presence in the story serves as a reminder of the challenges faced by the vulnerable, and he leaves a lasting impression on both the characters within the narrative and the readers. Ultimately, he encapsulates the themes of hope and renewal that resonate throughout \"A Christmas Carol,\" symbolizing the indomitable spirit that inspires hope even in times of adversity.", - "model": "gpt-4o-mini" - }, - "53ebadd626dd7425d34d8da57532f604": { - "return": "Christmas is a significant and festive season that embodies themes of joy, love, generosity, and community. It plays a crucial role in the narrative, particularly through the experiences of the Cratchit family and the character development of Ebenezer Scrooge. Christmas is depicted as a joyful time of family togetherness, celebration, and emotional reflection, marked by warmth and gratitude, especially for the Cratchit family who create cherished memories despite their modest circumstances.\n\nIn contrast, Scrooge initially approaches Christmas with cynicism, dismissing it as a \"humbug\" and rejecting the joy and goodwill that the season represents. His cold demeanor and disdain sharply oppose the spirit of generosity and community that permeates the holiday. The narrative emphasizes Christmas as a time of celebration and social responsibility, showcasing the importance of emotional connections within a community.\n\nChristmas serves as the backdrop for Scrooge's transformation, compelling him to confront his neglected relationships and past choices, which is pivotal to his character development. His Nephew, who is passionate about the holiday, further highlights the contrast between Scrooge's cynical views and the festive spirit. As the story progresses, Christmas symbolizes redemption and change for Scrooge, who ultimately embraces the holiday's spirit of goodwill and abandons his bitterness.\n\nThe festive occasion emerges as a pivotal element that reinforces exploration of redemption, generosity, and the transformative power of love and community. Joyful scenes of people celebrating, dancing, and engaging in festive activities sharply contrast with Scrooge's earlier solitude and disdain, underscoring the profound influence of Christmas on the thoughts and behaviors of all characters involved.", - "model": "gpt-4o-mini" - }, - "ef854a0ec875c2befb6acdc9b1bfa263": { - "return": "Scrooge is a central character embodying a profound transformation throughout Charles Dickens' narrative, initially depicted as a miserly, cold-hearted individual characterized by greed and a disdain for Christmas. Often referred to negatively as the \"Ogre of the family\" or a \"tight-fisted old man,\" he exemplifies a lack of compassion and indifference toward others, reflecting his solitary nature and reluctance to engage in charitable acts.\n\nThe pivotal turning point in Scrooge's journey occurs with a haunting visit from the ghost of his former business partner, Jacob Marley, who warns him of the dire consequences of his actions. This encounter triggers a series of supernatural visits from three spirits, guiding Scrooge through reflections on his past, present, and future. During these encounters, he experiences horror, agitation, and regret as he grapples with the implications of his miserliness and recalls lonely moments from his childhood.\n\nThrough his interactions with the spirits, Scrooge witnesses both joy and sorrow, becoming especially affected by the plight of the Cratchit family and Tiny Tim. These reflections ignite feelings of grief and a longing for connection, compelling him to recognize his mortality and the extensive impact of his choices on those around him. This emotional struggle catalyzes a conflict between Scrooge's initial skepticism about the supernatural and a developing capacity for empathy.\n\nUltimately, by the conclusion of the story, Scrooge undergoes a significant transformation. Emerging from his supernatural encounters with a newfound joy and commitment to kindness, he fully embraces the spirit of Christmas. This evolution from a grumpy, indifferent figure to one filled with goodwill encapsulates the narrative's themes of redemption, compassion, and community. Scrooge’s journey illustrates that change is not only possible, but that love and generosity can triumph over isolation and greed, as he strives to positively influence the lives of others, particularly his employee Bob Cratchit and his family.", - "model": "gpt-4o-mini" - }, - "0f91a413703267083bca77d2a6fcfa37": { - "return": "\"The Spirit\" is a multifaceted supernatural entity that guides Ebenezer Scrooge through a transformative journey during the Christmas season. It is often portrayed as a ghostly figure, encompassing the roles of the Ghost of Christmas Past and the Ghost of Christmas Present. This entity plays a vital role in illuminating various themes, including joy, generosity, and moral introspection.\n\nThroughout the narrative, The Spirit influences Scrooge's emotional journey, prompting him to reflect on his past and understand the consequences of his actions. By guiding him through memories, The Spirit helps Scrooge recognize the significance of happiness, compassion, and community in life. This guiding force not only encourages deep introspection but also highlights the moral lessons associated with the holiday season.\n\nThe Spirit embodies the collective essence of the Christmas spirits and serves as a moral compass for Scrooge. It promotes an environment filled with cheer and mirth, significantly shaping the mood of Christmas and emphasizing the importance of generosity. As Scrooge navigates his reflections on life—past, present, and future—The Spirit plays a critical role in his transformation, ultimately pushing him toward meaningful change and a reevaluation of his life choices.\n\nIn essence, The Spirit acts as both a supernatural guide and an emotional influence, signifying the profound impact of reflection, memory, and personal transformation during the holiday season. Through its guidance, Scrooge embarks on a journey towards understanding the value of life and embracing the spirit of Christmas.", - "model": "gpt-4o-mini" - }, - "76a99d93a1b3d2e2f04ec25de47e5f6d": { - "return": "Bob Cratchit is a significant character in Charles Dickens' \"A Christmas Carol,\" serving as Ebenezer Scrooge's dedicated clerk. He is depicted as a struggling yet loving family man who embodies the challenges faced by the working class, highlighting the importance of family in the narrative. Despite enduring low wages, Bob demonstrates warmth and joy during the Christmas season, striving to maintain a positive atmosphere at home amidst financial hardships.\n\nAs the father of Tiny Tim and head of the Cratchit family, Bob exemplifies deep familial love and concern. He is characterized by his kindness and emotional depth, caring for his children and expressing affection for them, especially during family celebrations. His happiness during the festive season underscores his duty as a father and husband, showcasing his resilience in the face of adversity. Bob’s mild-mannered nature is evident as he enjoys Christmas dinner with his family, reflecting appreciation for even the smallest of blessings despite their struggles.\n\nCratchit's late arrival to work after Christmas illustrates his anxiety about Scrooge, contrasting with the newfound generosity Scrooge begins to show him. This dynamic emphasizes Bob's positive demeanor, which remains unwavering despite his challenges. The warmth of the Cratchit household, particularly during their Christmas dinner, sharply contrasts with Scrooge’s initial miserly attitude, highlighting the spirit of joy that Bob embodies.\n\nOverall, Bob Cratchit is not only a devoted father and husband but also a poignant symbol of resilience, hope, and the profound significance of family within the narrative, making him a compelling and heartwarming figure in \"A Christmas Carol.\"", - "model": "gpt-4o-mini" - }, - "a88aa22110316b0a82d181d878dfcadb": { - "return": "The story, primarily \"A Christmas Carol\" by Charles Dickens, embodies several prominent themes that resonate throughout its narrative. \n\nOne of the most significant themes is the idea of redemption. Throughout the story, the protagonist, Ebenezer Scrooge, undergoes a profound transformation from a miserly, cold-hearted individual to one who embraces compassion, generosity, and the spirit of Christmas. This journey illustrates that it is never too late to change and that personal redemption is achievable through self-reflection and the willingness to amend one's ways.\n\nAnother key theme is the importance of family and community. The relationships demonstrated among the Cratchit family highlight the warmth and joy that come from love, unity, and support, in stark contrast to Scrooge's isolated existence. The story emphasizes how being connected to others and valuing those relationships enriches one's life beyond material wealth.\n\nAdditionally, the theme of the consequences of one’s actions is central to the narrative. Scrooge's journey with the spirits shows that his past misdeeds and present behaviors have far-reaching impacts, not only on himself but also on those around him. The vivid visions of the future serve as a stark reminder of where his choices could lead, reinforcing the message that our decisions reflect our values and affect our lives and those of others.\n\nLastly, the story conveys a strong social commentary on the disparities between the rich and the poor, urging a sense of social responsibility. Dickens critiques the indifference of the wealthy towards the suffering of the less fortunate, advocating for empathy and the need to care for one another, particularly during the festive season. \n\nThese themes combine to create a powerful narrative that speaks to the human capacity for change, the invaluable nature of relationships, the morality of our actions, and the call to social consciousness.", - "model": "gpt-4o-mini" - }, - "393cba6de95d05eff27a695ea77494f6": { - "return": "{\n \"high_level_keywords\": [\"Themes\", \"Story analysis\", \"Literary elements\"],\n \"low_level_keywords\": [\"Character development\", \"Conflict\", \"Setting\", \"Plot twists\", \"Motifs\"]\n}", - "model": "gpt-4o-mini" - }, - "77c5d24c33e2a79b0d38d53731e0b46a": { - "return": "## Top Themes in \"A Christmas Carol\"\n\n\"A Christmas Carol,\" a timeless tale by Charles Dickens, revolves around several profound themes that resonate with readers even today. Through the journey of Ebenezer Scrooge, these themes are depicted vividly, driving the narrative and the transformative journey of the protagonist.\n\n### Redemption and Change\n\nRedemption is central to Scrooge's story. Initially depicted as a miserly and cold-hearted individual, Scrooge undergoes a significant transformation. The turning point occurs when he is visited by the ghost of Jacob Marley, followed by three spirits representing his past, present, and future. These encounters compel him to confront the consequences of his actions and reconsider his life choices. The notion that it is never too late for change embodies the spirit of hope and the possibility of redemption, reinforcing that one's past does not define their future.\n\n### Compassion and Generosity\n\nAnother key theme is the importance of compassion and the necessity for generosity. Throughout the narrative, we see the stark contrast between Scrooge's initial indifference and the warm-heartedness of the Cratchit family, who, despite their financial struggles, embody love and kindness. Scrooge's eventual embrace of the Christmas spirit and willingness to support those in need highlight the narrative's critique of societal apathy and the moral obligation to care for one another. The transformation of Scrooge from a \"tight-fisted old man\" to a figure of goodwill symbolizes the profound impact of kindness on both the giver and receiver.\n\n### The Significance of Family\n\nFamily plays an essential role in \"A Christmas Carol,\" particularly through the portrayal of the Cratchit family and Scrooge's relationships. The Cratchits exemplify resilience and togetherness despite their hardships. Their celebrations and love for one another demonstrate the strength derived from familial bonds. In contrast, Scrooge's initial isolation serves as a poignant reflection on the consequences of rejecting connections with loved ones. The theme emphasizes the importance of nurturing relationships, love, and emotional connections during both joyful and challenging times.\n\n### The Passage of Time\n\nTime is a critical theme woven throughout the narrative. Scrooge's encounters with the ghosts emphasize the significance of the past, the fleeting nature of the present, and the inevitable fate awaiting him in the future if he continues on his current path. Through the spirits, Scrooge is forced to reflect on his life choices and the impact of time on relationships and personal values. This theme invokes an understanding of mortality and the urgency to live a life of purpose, kindness, and responsibility to others.\n\n### Societal Critique\n\nLastly, Dickens effectively uses \"A Christmas Carol\" to critique societal issues, particularly regarding poverty and social injustice. The characterization of individuals such as Bob Cratchit and Tiny Tim underlines the struggles faced by the working class and the dire consequences of neglecting societal obligations. Dickens employs the narrative to champion social responsibility and awareness, advocating that wealth should not be hoarded but shared for the betterment of society. The poignant images of Want and Ignorance introduced by the Ghost of Christmas Present serve as symbols of societal failings and highlight the urgent need for change and compassion.\n\n---\n\nIn summary, the themes of redemption, compassion, family, the passage of time, and societal critique intertwine to create a rich tapestry that allows \"A Christmas Carol\" to be a powerful and enduring narrative. Through Scrooge’s transformation, Dickens conveys essential lessons on the values of kindness, connection, and the importance of living a life filled with compassion.", - "model": "gpt-4o-mini" - }, - "c69a1b30e6fedb12f34cad36ac9146c9": { - "return": "The story of *A Christmas Carol* by Charles Dickens is rich with themes that explore the human condition, morality, and social commentary. Below are some of the top themes evidenced in the narrative:\n\n### Transformation and Redemption\nThe central theme of the story is the possibility of personal transformation and redemption. Ebenezer Scrooge epitomizes this theme as he undergoes a profound change from a miserly, cold-hearted man to a kind and generous person. The visits from the three spirits—The Ghost of Christmas Past, The Ghost of Christmas Present, and The Ghost of Christmas Yet to Come—serve as catalysts for this transformation. They compel Scrooge to confront the consequences of his life choices, illustrating the narrative's core message that it is never too late for change and growth.\n\n### The Spirit of Christmas\nChristmas itself stands as a symbol of hope, generosity, and love. The holiday serves as a backdrop for Scrooge's journey, allowing him to reconnect with the joys of family, community, and kindness. The story portrays Christmas as a time for reflection, reconciliation, and joy, emphasizing the importance of compassion towards others and the spirit of giving. The stark contrast between Scrooge’s initial disdain for Christmas and his later embrace of its meanings underscores this theme.\n\n### Social Critique\nDickens offers a critique of societal issues, particularly poverty and social injustice, by highlighting the plight of characters such as Bob Cratchit and his family. The introduction of concepts like \"Want\" and \"Ignorance\" during Scrooge's transformation journey serves to remind readers of the moral obligations to help those less fortunate. The character of Tiny Tim becomes a poignant representation of innocence and vulnerability, compelling readers to acknowledge the struggles faced by the lower classes in society.\n\n### Isolation vs. Community\nIsolation is a recurring theme tied closely to Scrooge's character. His initial seclusion and detachment from society reflect his indifference and greed, creating a life devoid of warmth and connection. In contrast, the joyful gatherings of the Cratchit family and Scrooge’s interactions with friends and family illustrate the importance of community. The narrative emphasizes that true fulfillment comes from meaningful relationships and social engagement rather than material wealth.\n\n### Memory and Reflection\nMemory plays a vital role in shaping Scrooge’s understanding of himself and his past. The spirits’ journeys through Scrooge's memories reveal moments of joy, sorrow, and lost opportunities that lead to self-reflection. The memories serve as a foundation for his transformation, prompting an exploration of how past experiences influence current values and decisions.\n\n### Love and Loyalty\nLove, particularly familial love, is presented as a source of strength and resilience. Bob Cratchit’s devotion to his family, especially his care for Tiny Tim, highlights the significance of loyalty and affection in the face of hardship. Scrooge's eventual recognition of the importance of love, as he begins to prioritize relationships over wealth, demonstrates the power of love to bring about personal change and happiness.\n\n### Conclusion\nIn summary, *A Christmas Carol* navigates through complex themes that resonate with readers across generations. Dickens masterfully intertwines elements of redemption, the festive spirit, social critique, isolation versus community, memory, and the profound importance of love to deliver a compelling narrative that inspires reflection on morality and one's impact on society. These themes combine to form a powerful message that encourages kindness, generosity, and an understanding of the interconnectedness of humanity, making the story timeless and universally relevant.", - "model": "gpt-4o-mini" - }, - "03fd545d69ddbbdd51b45c353912495d": { - "return": "The narrative of \"A Christmas Carol\" by Charles Dickens is rich with various themes that explore the complexities of human relationships, morality, and social issues. Here are some of the top themes found throughout the story:\n\n### **Redemption and Transformation**\nOne of the most prominent themes is the possibility of redemption. The evolution of Ebenezer Scrooge's character from a miserly, cold-hearted individual to a compassionate, caring person underscores this theme. Through his encounters with the spirits, Scrooge learns about the consequences of his actions and the importance of generosity and love. His transformation is a testament to the belief that it is never too late to change one's ways, reinforcing the idea that individuals have the power to reshape their lives through conscious effort.\n\n### **The Spirit of Christmas**\nChristmas serves as a central backdrop in the story, embodying themes of joy, love, and community. The festive spirit is depicted through the Cratchit family's warm celebrations, contrasting sharply with Scrooge’s initial disdain for the holiday. The narrative emphasizes the significance of coming together with family and friends, the joy of giving, and the overall impact of Christmas on human behavior, suggesting that this season can inspire compassion and reconnect people with their humanity.\n\n### **Societal Responsibility**\nThe story also addresses social responsibility, particularly through the representations of Want and Ignorance. These figures symbolize the neglect of the impoverished and the urgent need for societal awareness and compassion. Dickens critiques social norms that allow wealth disparities to influence the lives of the less fortunate, urging readers to reflect on their roles in addressing these social issues. The relationship between Scrooge and Bob Cratchit highlights the struggles of the working class, and through Tiny Tim, the narrative underscores the vulnerability of those in need.\n\n### **Mortality and Reflection**\nMortality is another critical theme woven into the narrative. The specter of death hangs over Scrooge as he is confronted with his fate, prompting deep introspection regarding his life choices and their ramifications. These reflections compel Scrooge—and readers alike—to evaluate what truly matters in life and consider their legacies. The moments of realization surrounding death inspire a renewed appreciation for life’s experiences and relationships, encouraging themes of connection and legacy.\n\n### **Isolation vs. Connection**\nAnother striking theme in the story revolves around the contrast between isolation and connection. Scrooge's character initially embodies solitude, reflecting a life devoid of meaningful relationships. However, through his journey, he learns that connection and caring for others lead to true happiness and fulfillment. The Cratchit family's unity amidst hardship serves as a poignant example of resilience and love, illustrating the enriching power of community and shared experiences.\n\n### **Love and Family**\nLastly, the theme of love—especially familial love—pervades the narrative. The Cratchit family's emotional support for one another amidst poverty emphasizes the significance of love in overcoming life's challenges. Scrooge's eventual acceptance of familial connections and his shifting perspectives on his Nephew Fred highlight the importance of familial bonds and the joy derived from nurturing those relationships.\n\n### **Conclusion**\nOverall, \"A Christmas Carol\" presents a multifaceted exploration of themes that resonate deeply with readers. By addressing redemption, the spirit of Christmas, societal responsibility, mortality, connection, and familial love, Dickens weaves a compelling narrative that invites reflection on personal values and social ethics. The transformations and lessons learned by Scrooge serve as timeless reminders of the impact one can have on themselves and others through kindness, generosity, and connection.", - "model": "gpt-4o-mini" - } -} \ No newline at end of file diff --git a/neo4jWorkDir/kv_store_text_chunks.json b/neo4jWorkDir/kv_store_text_chunks.json deleted file mode 100644 index f737052e..00000000 --- a/neo4jWorkDir/kv_store_text_chunks.json +++ /dev/null @@ -1,254 +0,0 @@ -{ - "chunk-9e3921da66da5d761ab73cd849af6c43": { - "tokens": 1200, - "content": "The Project Gutenberg eBook of A Christmas Carol\n \nThis ebook is for the use of anyone anywhere in the United States and\nmost other parts of the world at no cost and with almost no restrictions\nwhatsoever. You may copy it, give it away or re-use it under the terms\nof the Project Gutenberg License included with this ebook or online\nat www.gutenberg.org. If you are not located in the United States,\nyou will have to check the laws of the country where you are located\nbefore using this eBook.\n\nTitle: A Christmas Carol\n\nAuthor: Charles Dickens\n\nIllustrator: Arthur Rackham\n\nRelease date: December 24, 2007 [eBook #24022]\n\nLanguage: English\n\nOriginal publication: Philadelphia and New York: J. B. Lippincott Company,, 1915\n\nCredits: Produced by Suzanne Shell, Janet Blenkinship and the Online\n Distributed Proofreading Team at http://www.pgdp.net\n\n\n*** START OF THE PROJECT GUTENBERG EBOOK A CHRISTMAS CAROL ***\n\n\n\n\nProduced by Suzanne Shell, Janet Blenkinship and the Online\nDistributed Proofreading Team at http://www.pgdp.net\n\n\n\n\n\n\n\n\n\n\n\n A CHRISTMAS CAROL\n\n [Illustration: _\"How now?\" said Scrooge, caustic and cold as ever.\n \"What do you want with me?\"_]\n\n\n A CHRISTMAS CAROL\n\n [Illustration]\n\n BY\n\n CHARLES DICKENS\n\n [Illustration]\n\n ILLUSTRATED BY ARTHUR RACKHAM\n\n [Illustration]\n\n J. B. LIPPINCOTT COMPANY PHILADELPHIA AND NEW YORK\n\n FIRST PUBLISHED 1915\n\n REPRINTED 1923, 1927, 1932, 1933, 1934, 1935, 1947, 1948, 1952, 1958,\n 1962, 1964, 1966, 1967, 1969, 1971, 1972, 1973\n\n ISBN: 0-397-00033-2\n\n PRINTED IN GREAT BRITAIN\n\n\n\n\n PREFACE\n\n I have endeavoured in this Ghostly little book to raise the Ghost of an\n Idea which shall not put my readers out of humour with themselves, with\n each other, with the season, or with me. May it haunt their house\n pleasantly, and no one wish to lay it.\n\n Their faithful Friend and Servant,\n\n C. D.\n\n _December, 1843._\n\n\n\n\n CHARACTERS\n\n Bob Cratchit, clerk to Ebenezer Scrooge.\n Peter Cratchit, a son of the preceding.\n Tim Cratchit (\"Tiny Tim\"), a cripple, youngest son of Bob Cratchit.\n Mr. Fezziwig, a kind-hearted, jovial old merchant.\n Fred, Scrooge's nephew.\n Ghost of Christmas Past, a phantom showing things past.\n Ghost of Christmas Present, a spirit of a kind, generous,\n and hearty nature.\n Ghost of Christmas Yet to Come, an apparition showing the shadows\n of things which yet may happen.\n Ghost of Jacob Marley, a spectre of Scrooge's former partner in business.\n Joe, a marine-store dealer and receiver of stolen goods.\n Ebenezer Scrooge, a grasping, covetous old man, the surviving partner\n of the firm of Scrooge and Marley.\n Mr. Topper, a bachelor.\n Dick Wilkins, a fellow apprentice of Scrooge's.\n\n Belle, a comely matron, an old sweetheart of Scrooge's.\n Caroline, wife of one of Scrooge's debtors.\n Mrs. Cratchit, wife of Bob Cratchit.\n Belinda and Martha Cratchit, daughters of the preceding.\n\n Mrs. Dilber, a laundress.\n Fan, the sister of Scrooge.\n Mrs. Fezziwig, the worthy partner of Mr. Fezziwig.\n\n\n\n\n CONTENTS\n\n STAVE ONE--MARLEY'S GHOST 3\n STAVE TWO--THE FIRST OF THE THREE SPIRITS 37\n STAVE THREE--THE SECOND OF THE THREE SPIRITS 69\n STAVE FOUR--THE LAST OF THE SPIRITS 111\n STAVE FIVE--THE END OF IT 137\n\n\n LIST OF ILLUSTRATIONS\n\n _IN COLOUR_\n\n\n \"How now?\" said Scrooge, caustic\n and cold as ever. \"What do you\n want with me?\" _Frontispiece_\n\n Bob Cratchit went down a slide on\n Cornhill, at the end of a lane of\n boys, twenty times, in honour of\n its being Christmas Eve 16\n\n Nobody under the bed; nobody in\n the closet; nobody in his dressing-gown,\n which was hanging up\n in a suspicious attitude against\n the wall 20\n\n The air was filled with phantoms,\n wandering hither and thither in\n restless haste and moaning as\n they went 32\n\n Then old Fezziwig stood out to\n dance with Mrs. Fezziwig 54\n\n A flushed and boisterous group 62\n\n Laden with Christmas toys and\n presents 64\n\n The way he went after that plump\n sister in the lace tucker! 100\n\n \"How are you?\" said one.\n \"How are you?\"", - "chunk_order_index": 0, - "full_doc_id": "doc-addb4618e1697da0445ec72a648e1f92" - }, - "chunk-89777b838d5447c7bd1ec11282c4ee89": { - "tokens": 1200, - "content": "restless haste and moaning as\n they went 32\n\n Then old Fezziwig stood out to\n dance with Mrs. Fezziwig 54\n\n A flushed and boisterous group 62\n\n Laden with Christmas toys and\n presents 64\n\n The way he went after that plump\n sister in the lace tucker! 100\n\n \"How are you?\" said one.\n \"How are you?\" returned the other.\n \"Well!\" said the first. \"Old\n Scratch has got his own at last,\n hey?\" 114\n\n \"What do you call this?\" said Joe.\n \"Bed-curtains!\" \"Ah!\" returned\n the woman, laughing....\n \"Bed-curtains!\"\n\n \"You don't mean to say you took\n 'em down, rings and all, with him\n lying there?\" said Joe.\n\n \"Yes, I do,\" replied the woman.\n \"Why not?\" 120\n\n \"It's I, your uncle Scrooge. I have\n come to dinner. Will you let\n me in, Fred?\" 144\n\n \"Now, I'll tell you what, my friend,\"\n said Scrooge. \"I am not going\n to stand this sort of thing any\n longer.\" 146\n\n[Illustration]\n\n_IN BLACK AND WHITE_\n\n\n Tailpiece vi\n Tailpiece to List of Coloured Illustrations x\n Tailpiece to List of Black and White Illustrations xi\n Heading to Stave One 3\n They were portly gentlemen, pleasant to behold 12\n On the wings of the wind 28-29\n Tailpiece to Stave One 34\n Heading to Stave Two 37\n He produced a decanter of curiously\n light wine and a block of curiously heavy cake 50\n She left him, and they parted 60\n Tailpiece to Stave Two 65\n Heading to Stave Three 69\n There was nothing very cheerful in the climate 75\n He had been Tim's blood-horse all the way from church 84-85\n With the pudding 88\n Heading to Stave Four 111\n Heading to Stave Five 137\n Tailpiece to Stave Five 147\n\n[Illustration]\n\n\nSTAVE ONE\n\n\n[Illustration]\n\n\n\n\nMARLEY'S GHOST\n\n\nMarley was dead, to begin with. There is no doubt whatever about that.\nThe register of his burial was signed by the clergyman, the clerk, the\nundertaker, and the chief mourner. Scrooge signed it. And Scrooge's name\nwas good upon 'Change for anything he chose to put his hand to. Old\nMarley was as dead as a door-nail.\n\nMind! I don't mean to say that I know of my own knowledge, what there is\nparticularly dead about a door-nail. I might have been inclined, myself,\nto regard a coffin-nail as the deadest piece of ironmongery in the\ntrade. But the wisdom of our ancestors is in the simile; and my\nunhallowed hands shall not disturb it, or the country's done for. You\nwill, therefore, permit me to repeat, emphatically, that Marley was as\ndead as a door-nail.\n\nScrooge knew he was dead? Of course he did. How could it be otherwise?\nScrooge and he were partners for I don't know how many years. Scrooge\nwas his sole executor, his sole administrator, his sole assign, his sole\nresiduary legatee, his sole friend, and sole mourner. And even Scrooge\nwas not so dreadfully cut up by the sad event but that he was an\nexcellent man of business on the very day of the funeral, and solemnised\nit with an undoubted bargain.\n\nThe mention of Marley's funeral brings me back to the point I started\nfrom. There is no doubt that Marley was dead. This must be distinctly\nunderstood, or nothing wonderful can come of the story I am going to\nrelate. If we were not perfectly convinced that Hamlet's father died\nbefore the play began, there would be nothing more remarkable in his\ntaking a stroll at night, in an easterly wind, upon his own ramparts,\nthan there would be in any other middle-aged gentleman rashly turning\nout after dark in a breezy spot--say St. Paul's Churchyard, for\ninstance--literally to astonish his son's weak mind.\n\nScrooge never painted out Old Marley's name. There it stood, years\nafterwards, above the warehouse door: Scrooge and Marley. The firm was\nknown as Scrooge and Marley. Sometimes people new to the business called\nScrooge Scrooge, and sometimes Marley, but he answered to both names. It\nwas all the same to him.\n\nOh! but he was a tight-fisted hand at the grindstone, Scrooge! a\nsqueezing, wrenching, grasping, scraping, clutching, covetous old\nsinner! Hard and sharp as flint, from which no steel had ever struck out\ngenerous fire; secret, and self-contained, and solitary as an oyster.\nThe cold within him froze his old features, nipped his pointed nose,\nshrivelled his cheek, stiffened his gait; made his eyes red, his thin\nlips blue; and spoke out shrewdly in his grating voice. A frosty rime", - "chunk_order_index": 1, - "full_doc_id": "doc-addb4618e1697da0445ec72a648e1f92" - }, - "chunk-74e2466de2f67fd710ef2f20c0a8d9e0": { - "tokens": 1200, - "content": "clutching, covetous old\nsinner! Hard and sharp as flint, from which no steel had ever struck out\ngenerous fire; secret, and self-contained, and solitary as an oyster.\nThe cold within him froze his old features, nipped his pointed nose,\nshrivelled his cheek, stiffened his gait; made his eyes red, his thin\nlips blue; and spoke out shrewdly in his grating voice. A frosty rime\nwas on his head, and on his eyebrows, and his wiry chin. He carried his\nown low temperature always about with him; he iced his office in the\ndog-days, and didn't thaw it one degree at Christmas.\n\nExternal heat and cold had little influence on Scrooge. No warmth could\nwarm, no wintry weather chill him. No wind that blew was bitterer than\nhe, no falling snow was more intent upon its purpose, no pelting rain\nless open to entreaty. Foul weather didn't know where to have him. The\nheaviest rain, and snow, and hail, and sleet could boast of the\nadvantage over him in only one respect. They often 'came down'\nhandsomely, and Scrooge never did.\n\nNobody ever stopped him in the street to say, with gladsome looks, 'My\ndear Scrooge, how are you? When will you come to see me?' No beggars\nimplored him to bestow a trifle, no children asked him what it was\no'clock, no man or woman ever once in all his life inquired the way to\nsuch and such a place, of Scrooge. Even the blind men's dogs appeared to\nknow him; and, when they saw him coming on, would tug their owners into\ndoorways and up courts; and then would wag their tails as though they\nsaid, 'No eye at all is better than an evil eye, dark master!'\n\nBut what did Scrooge care? It was the very thing he liked. To edge his\nway along the crowded paths of life, warning all human sympathy to keep\nits distance, was what the knowing ones call 'nuts' to Scrooge.\n\nOnce upon a time--of all the good days in the year, on Christmas\nEve--old Scrooge sat busy in his counting-house. It was cold, bleak,\nbiting weather; foggy withal; and he could hear the people in the court\noutside go wheezing up and down, beating their hands upon their breasts,\nand stamping their feet upon the pavement stones to warm them. The City\nclocks had only just gone three, but it was quite dark already--it had\nnot been light all day--and candles were flaring in the windows of the\nneighbouring offices, like ruddy smears upon the palpable brown air. The\nfog came pouring in at every chink and keyhole, and was so dense\nwithout, that, although the court was of the narrowest, the houses\nopposite were mere phantoms. To see the dingy cloud come drooping down,\nobscuring everything, one might have thought that nature lived hard by,\nand was brewing on a large scale.\n\nThe door of Scrooge's counting-house was open, that he might keep his\neye upon his clerk, who in a dismal little cell beyond, a sort of tank,\nwas copying letters. Scrooge had a very small fire, but the clerk's fire\nwas so very much smaller that it looked like one coal. But he couldn't\nreplenish it, for Scrooge kept the coal-box in his own room; and so\nsurely as the clerk came in with the shovel, the master predicted that\nit would be necessary for them to part. Wherefore the clerk put on his\nwhite comforter, and tried to warm himself at the candle; in which\neffort, not being a man of strong imagination, he failed.\n\n'A merry Christmas, uncle! God save you!' cried a cheerful voice. It was\nthe voice of Scrooge's nephew, who came upon him so quickly that this\nwas the first intimation he had of his approach.\n\n'Bah!' said Scrooge. 'Humbug!'\n\nHe had so heated himself with rapid walking in the fog and frost, this\nnephew of Scrooge's, that he was all in a glow; his face was ruddy and\nhandsome; his eyes sparkled, and his breath smoked again.\n\n'Christmas a humbug, uncle!' said Scrooge's nephew. 'You don't mean\nthat, I am sure?'\n\n'I do,' said Scrooge. 'Merry Christmas! What right have you to be merry?\nWhat reason have you to be merry? You're poor enough.'\n\n'Come, then,' returned the nephew gaily. 'What right have you to be\ndismal? What reason have you to be morose? You're rich enough.'\n\nScrooge, having no better answer ready on the spur of the moment, said,\n'Bah!' again; and followed it up with 'Humbug!'\n\n'Don't be cross, uncle!' said the nephew.\n\n'What else can I be,' returned the uncle, 'when I live in such a world\nof fools as this? Merry Christmas! Out upon merry Christmas! What's\nChristmas-time to you but a time for paying bills without money; a time\nfor finding yourself a year older, and not an hour richer; a time for\nbalancing your books, and having every item in 'em through a round dozen\nof months presented dead against you? If I could work my will,' said\nScrooge indignantly, 'every idiot who goes", - "chunk_order_index": 2, - "full_doc_id": "doc-addb4618e1697da0445ec72a648e1f92" - }, - "chunk-5dac41b3f9eeaf794f0147400b1718cd": { - "tokens": 1200, - "content": "when I live in such a world\nof fools as this? Merry Christmas! Out upon merry Christmas! What's\nChristmas-time to you but a time for paying bills without money; a time\nfor finding yourself a year older, and not an hour richer; a time for\nbalancing your books, and having every item in 'em through a round dozen\nof months presented dead against you? If I could work my will,' said\nScrooge indignantly, 'every idiot who goes about with \"Merry Christmas\"\non his lips should be boiled with his own pudding, and buried with a\nstake of holly through his heart. He should!'\n\n'Uncle!' pleaded the nephew.\n\n'Nephew!' returned the uncle sternly, 'keep Christmas in your own way,\nand let me keep it in mine.'\n\n'Keep it!' repeated Scrooge's nephew. 'But you don't keep it.'\n\n'Let me leave it alone, then,' said Scrooge. 'Much good may it do you!\nMuch good it has ever done you!'\n\n'There are many things from which I might have derived good, by which I\nhave not profited, I dare say,' returned the nephew; 'Christmas among\nthe rest. But I am sure I have always thought of Christmas-time, when\nit has come round--apart from the veneration due to its sacred name and\norigin, if anything belonging to it can be apart from that--as a good\ntime; a kind, forgiving, charitable, pleasant time; the only time I know\nof, in the long calendar of the year, when men and women seem by one\nconsent to open their shut-up hearts freely, and to think of people\nbelow them as if they really were fellow-passengers to the grave, and\nnot another race of creatures bound on other journeys. And therefore,\nuncle, though it has never put a scrap of gold or silver in my pocket, I\nbelieve that it _has_ done me good and _will_ do me good; and I say, God\nbless it!'\n\nThe clerk in the tank involuntarily applauded. Becoming immediately\nsensible of the impropriety, he poked the fire, and extinguished the\nlast frail spark for ever.\n\n'Let me hear another sound from _you_,' said Scrooge, 'and you'll keep\nyour Christmas by losing your situation! You're quite a powerful\nspeaker, sir,' he added, turning to his nephew. 'I wonder you don't go\ninto Parliament.'\n\n'Don't be angry, uncle. Come! Dine with us to-morrow.'\n\nScrooge said that he would see him----Yes, indeed he did. He went the\nwhole length of the expression, and said that he would see him in that\nextremity first.\n\n'But why?' cried Scrooge's nephew. 'Why?'\n\n'Why did you get married?' said Scrooge.\n\n'Because I fell in love.'\n\n'Because you fell in love!' growled Scrooge, as if that were the only\none thing in the world more ridiculous than a merry Christmas. 'Good\nafternoon!'\n\n'Nay, uncle, but you never came to see me before that happened. Why give\nit as a reason for not coming now?'\n\n'Good afternoon,' said Scrooge.\n\n'I want nothing from you; I ask nothing of you; why cannot we be\nfriends?'\n\n'Good afternoon!' said Scrooge.\n\n'I am sorry, with all my heart, to find you so resolute. We have never\nhad any quarrel to which I have been a party. But I have made the trial\nin homage to Christmas, and I'll keep my Christmas humour to the last.\nSo A Merry Christmas, uncle!'\n\n'Good afternoon,' said Scrooge.\n\n'And A Happy New Year!'\n\n'Good afternoon!' said Scrooge.\n\nHis nephew left the room without an angry word, notwithstanding. He\nstopped at the outer door to bestow the greetings of the season on the\nclerk, who, cold as he was, was warmer than Scrooge; for he returned\nthem cordially.\n\n'There's another fellow,' muttered Scrooge, who overheard him: 'my\nclerk, with fifteen shillings a week, and a wife and family, talking\nabout a merry Christmas. I'll retire to Bedlam.'\n\nThis lunatic, in letting Scrooge's nephew out, had let two other people\nin. They were portly gentlemen, pleasant to behold, and now stood, with\ntheir hats off, in Scrooge's office. They had books and papers in their\nhands, and bowed to him.\n\n'Scrooge and Marley's, I believe,' said one of the gentlemen, referring\nto his list. 'Have I the pleasure of addressing Mr. Scrooge, or Mr.\nMarley?'\n\n'Mr. Marley has been dead these seven years,' Scrooge replied. 'He died\nseven years ago, this very night.'\n\n'We have no doubt his liberality is well represented by his surviving\npartner,' said the gentleman, presenting his credentials.\n\n[Illustration: THEY WERE PORTLY GENTLEMEN, PLEASANT TO BEHOLD]\n\nIt certainly was; for they had been two kindred spirits. At the ominous\nword 'liberality' Scrooge frowned, and shook his head, and handed the\ncredentials back.\n\n'At this festive season of the year, Mr. Scrooge,' said the gentleman,\ntaking up a pen, 'it is more than usually desirable that we should make\nsome slight provision for the poor and destitute, who suffer greatly at\nthe present time. Many thousands are", - "chunk_order_index": 3, - "full_doc_id": "doc-addb4618e1697da0445ec72a648e1f92" - }, - "chunk-90d5764e301321c087f5a8f78b73a145": { - "tokens": 1200, - "content": "It certainly was; for they had been two kindred spirits. At the ominous\nword 'liberality' Scrooge frowned, and shook his head, and handed the\ncredentials back.\n\n'At this festive season of the year, Mr. Scrooge,' said the gentleman,\ntaking up a pen, 'it is more than usually desirable that we should make\nsome slight provision for the poor and destitute, who suffer greatly at\nthe present time. Many thousands are in want of common necessaries;\nhundreds of thousands are in want of common comforts, sir.'\n\n'Are there no prisons?' asked Scrooge.\n\n'Plenty of prisons,' said the gentleman, laying down the pen again.\n\n'And the Union workhouses?' demanded Scrooge. 'Are they still in\noperation?'\n\n'They are. Still,' returned the gentleman, 'I wish I could say they were\nnot.'\n\n'The Treadmill and the Poor Law are in full vigour, then?' said Scrooge.\n\n'Both very busy, sir.'\n\n'Oh! I was afraid, from what you said at first, that something had\noccurred to stop them in their useful course,' said Scrooge. 'I am very\nglad to hear it.'\n\n'Under the impression that they scarcely furnish Christian cheer of mind\nor body to the multitude,' returned the gentleman, 'a few of us are\nendeavouring to raise a fund to buy the Poor some meat and drink, and\nmeans of warmth. We choose this time, because it is a time, of all\nothers, when Want is keenly felt, and Abundance rejoices. What shall I\nput you down for?'\n\n'Nothing!' Scrooge replied.\n\n'You wish to be anonymous?'\n\n'I wish to be left alone,' said Scrooge. 'Since you ask me what I wish,\ngentlemen, that is my answer. I don't make merry myself at Christmas,\nand I can't afford to make idle people merry. I help to support the\nestablishments I have mentioned--they cost enough: and those who are\nbadly off must go there.'\n\n'Many can't go there; and many would rather die.'\n\n'If they would rather die,' said Scrooge, 'they had better do it, and\ndecrease the surplus population. Besides--excuse me--I don't know that.'\n\n'But you might know it,' observed the gentleman.\n\n'It's not my business,' Scrooge returned. 'It's enough for a man to\nunderstand his own business, and not to interfere with other people's.\nMine occupies me constantly. Good afternoon, gentlemen!'\n\nSeeing clearly that it would be useless to pursue their point, the\ngentlemen withdrew. Scrooge resumed his labours with an improved opinion\nof himself, and in a more facetious temper than was usual with him.\n\nMeanwhile the fog and darkness thickened so, that people ran about with\nflaring links, proffering their services to go before horses in\ncarriages, and conduct them on their way. The ancient tower of a church,\nwhose gruff old bell was always peeping slyly down at Scrooge out of a\nGothic window in the wall, became invisible, and struck the hours and\nquarters in the clouds, with tremulous vibrations afterwards, as if its\nteeth were chattering in its frozen head up there. The cold became\nintense. In the main street, at the corner of the court, some labourers\nwere repairing the gas-pipes, and had lighted a great fire in a brazier,\nround which a party of ragged men and boys were gathered: warming their\nhands and winking their eyes before the blaze in rapture. The water-plug\nbeing left in solitude, its overflowings suddenly congealed, and turned\nto misanthropic ice. The brightness of the shops, where holly sprigs and\nberries crackled in the lamp heat of the windows, made pale faces ruddy\nas they passed. Poulterers' and grocers' trades became a splendid joke:\na glorious pageant, with which it was next to impossible to believe that\nsuch dull principles as bargain and sale had anything to do. The Lord\nMayor, in the stronghold of the mighty Mansion House, gave orders to his\nfifty cooks and butlers to keep Christmas as a Lord Mayor's household\nshould; and even the little tailor, whom he had fined five shillings on\nthe previous Monday for being drunk and bloodthirsty in the streets,\nstirred up to-morrow's pudding in his garret, while his lean wife and\nthe baby sallied out to buy the beef.\n\nFoggier yet, and colder! Piercing, searching, biting cold. If the good\nSt. Dunstan had but nipped the Evil Spirit's nose with a touch of such\nweather as that, instead of using his familiar weapons, then indeed he\nwould have roared to lusty purpose. The owner of one scant young nose,\ngnawed and mumbled by the hungry cold as bones are gnawed by dogs,\nstooped down at Scrooge's keyhole to regale him with a Christmas carol;\nbut, at the first sound of\n\n 'God bless you, merry gentleman,\n May nothing you dismay!'\n\nScrooge seized the ruler with such energy of action that the singer fled\nin terror, leaving the keyhole to the fog, and even more congenial\nfrost.\n\nAt length the hour of shutting up the counting-house arrived. With an\nill-will Scrooge dismounted from his stool, and tacitly admitted the\nfact to the expectant clerk in the tank, who instantly snuffed his", - "chunk_order_index": 4, - "full_doc_id": "doc-addb4618e1697da0445ec72a648e1f92" - }, - "chunk-d9aac3484185ac66045df92214d245d5": { - "tokens": 1200, - "content": "God bless you, merry gentleman,\n May nothing you dismay!'\n\nScrooge seized the ruler with such energy of action that the singer fled\nin terror, leaving the keyhole to the fog, and even more congenial\nfrost.\n\nAt length the hour of shutting up the counting-house arrived. With an\nill-will Scrooge dismounted from his stool, and tacitly admitted the\nfact to the expectant clerk in the tank, who instantly snuffed his\ncandle out, and put on his hat.\n\n'You'll want all day to-morrow, I suppose?' said Scrooge.\n\n'If quite convenient, sir.'\n\n'It's not convenient,' said Scrooge, 'and it's not fair. If I was to\nstop half-a-crown for it, you'd think yourself ill used, I'll be bound?'\n\nThe clerk smiled faintly.\n\n'And yet,' said Scrooge, 'you don't think _me_ ill used when I pay a\nday's wages for no work.'\n\n[Illustration: _Bob Cratchit went down a slide on Cornhill, at the end\nof a lane of boys, twenty times, in honour of its being Christmas\nEve_]\n\nThe clerk observed that it was only once a year.\n\n'A poor excuse for picking a man's pocket every twenty-fifth of\nDecember!' said Scrooge, buttoning his greatcoat to the chin. 'But I\nsuppose you must have the whole day. Be here all the earlier next\nmorning.'\n\nThe clerk promised that he would; and Scrooge walked out with a growl.\nThe office was closed in a twinkling, and the clerk, with the long ends\nof his white comforter dangling below his waist (for he boasted no\ngreatcoat), went down a slide on Cornhill, at the end of a lane of boys,\ntwenty times, in honour of its being Christmas Eve, and then ran home to\nCamden Town as hard as he could pelt, to play at blind man's-buff.\n\nScrooge took his melancholy dinner in his usual melancholy tavern; and\nhaving read all the newspapers, and beguiled the rest of the evening\nwith his banker's book, went home to bed. He lived in chambers which had\nonce belonged to his deceased partner. They were a gloomy suite of\nrooms, in a lowering pile of building up a yard, where it had so little\nbusiness to be, that one could scarcely help fancying it must have run\nthere when it was a young house, playing at hide-and-seek with other\nhouses, and have forgotten the way out again. It was old enough now, and\ndreary enough; for nobody lived in it but Scrooge, the other rooms\nbeing all let out as offices. The yard was so dark that even Scrooge,\nwho knew its every stone, was fain to grope with his hands. The fog and\nfrost so hung about the black old gateway of the house, that it seemed\nas if the Genius of the Weather sat in mournful meditation on the\nthreshold.\n\nNow, it is a fact that there was nothing at all particular about the\nknocker on the door, except that it was very large. It is also a fact\nthat Scrooge had seen it, night and morning, during his whole residence\nin that place; also that Scrooge had as little of what is called fancy\nabout him as any man in the City of London, even including--which is a\nbold word--the corporation, aldermen, and livery. Let it also be borne\nin mind that Scrooge had not bestowed one thought on Marley since his\nlast mention of his seven-years'-dead partner that afternoon. And then\nlet any man explain to me, if he can, how it happened that Scrooge,\nhaving his key in the lock of the door, saw in the knocker, without its\nundergoing any intermediate process of change--not a knocker, but\nMarley's face.\n\nMarley's face. It was not in impenetrable shadow, as the other objects\nin the yard were, but had a dismal light about it, like a bad lobster in\na dark cellar. It was not angry or ferocious, but looked at Scrooge as\nMarley used to look; with ghostly spectacles turned up on its ghostly\nforehead. The hair was curiously stirred, as if by breath or hot air;\nand, though the eyes were wide open, they were perfectly motionless.\nThat, and its livid colour, made it horrible; but its horror seemed to\nbe in spite of the face, and beyond its control, rather than a part of\nits own expression.\n\nAs Scrooge looked fixedly at this phenomenon, it was a knocker again.\n\nTo say that he was not startled, or that his blood was not conscious of\na terrible sensation to which it had been a stranger from infancy, would\nbe untrue. But he put his hand upon the key he had relinquished, turned\nit sturdily, walked in, and lighted his candle.\n\nHe _did_ pause, with a moment's irresolution, before he shut the door;\nand he _did_ look cautiously behind it first, as if he half expected to\nbe terrified with the sight of Marley's pigtail sticking out into the\nhall. But there was nothing on the back of the door, except the screws\nand nuts that held the knocker on, so he said, 'Pooh, pooh!' and closed\nit with a bang.\n\nThe sound resounded through the house like thunder. Every room above,\nand every cask in the wine-merchant's cellars below,", - "chunk_order_index": 5, - "full_doc_id": "doc-addb4618e1697da0445ec72a648e1f92" - }, - "chunk-9c43dac2fcd5b578242d907ea6f8fc7b": { - "tokens": 1200, - "content": "behind it first, as if he half expected to\nbe terrified with the sight of Marley's pigtail sticking out into the\nhall. But there was nothing on the back of the door, except the screws\nand nuts that held the knocker on, so he said, 'Pooh, pooh!' and closed\nit with a bang.\n\nThe sound resounded through the house like thunder. Every room above,\nand every cask in the wine-merchant's cellars below, appeared to have a\nseparate peal of echoes of its own. Scrooge was not a man to be\nfrightened by echoes. He fastened the door, and walked across the hall,\nand up the stairs: slowly, too: trimming his candle as he went.\n\nYou may talk vaguely about driving a coach and six up a good old flight\nof stairs, or through a bad young Act of Parliament; but I mean to say\nyou might have got a hearse up that staircase, and taken it broadwise,\nwith the splinter-bar towards the wall, and the door towards the\nbalustrades: and done it easy. There was plenty of width for that, and\nroom to spare; which is perhaps the reason why Scrooge thought he saw a\nlocomotive hearse going on before him in the gloom. Half-a-dozen\ngas-lamps out of the street wouldn't have lighted the entry too well, so\nyou may suppose that it was pretty dark with Scrooge's dip.\n\nUp Scrooge went, not caring a button for that. Darkness is cheap, and\nScrooge liked it. But, before he shut his heavy door, he walked through\nhis rooms to see that all was right. He had just enough recollection of\nthe face to desire to do that.\n\nSitting-room, bedroom, lumber-room. All as they should be. Nobody under\nthe table, nobody under the sofa; a small fire in the grate; spoon and\nbasin ready; and the little saucepan of gruel (Scrooge had a cold in his\nhead) upon the hob. Nobody under the bed; nobody in the closet; nobody\nin his dressing-gown, which was hanging up in a suspicious attitude\nagainst the wall. Lumber-room as usual. Old fire-guard, old shoes, two\nfish baskets, washing-stand on three legs, and a poker.\n\n[Illustration: _Nobody under the bed; nobody in the closet; nobody in\nhis dressing-gown, which was hanging up in a suspicious attitude against\nthe wall_]\n\nQuite satisfied, he closed his door, and locked himself in; double\nlocked himself in, which was not his custom. Thus secured against\nsurprise, he took off his cravat; put on his dressing-gown and slippers,\nand his nightcap; and sat down before the fire to take his gruel.\n\nIt was a very low fire indeed; nothing on such a bitter night. He was\nobliged to sit close to it, and brood over it, before he could extract\nthe least sensation of warmth from such a handful of fuel. The fireplace\nwas an old one, built by some Dutch merchant long ago, and paved all\nround with quaint Dutch tiles, designed to illustrate the Scriptures.\nThere were Cains and Abels, Pharaoh's daughters, Queens of Sheba,\nAngelic messengers descending through the air on clouds like\nfeather-beds, Abrahams, Belshazzars, Apostles putting off to sea in\nbutter-boats, hundreds of figures to attract his thoughts; and yet that\nface of Marley, seven years dead, came like the ancient Prophet's rod,\nand swallowed up the whole. If each smooth tile had been a blank at\nfirst, with power to shape some picture on its surface from the\ndisjointed fragments of his thoughts, there would have been a copy of\nold Marley's head on every one.\n\n'Humbug!' said Scrooge; and walked across the room.\n\nAfter several turns he sat down again. As he threw his head back in the\nchair, his glance happened to rest upon a bell, a disused bell, that\nhung in the room, and communicated, for some purpose now forgotten, with\na chamber in the highest storey of the building. It was with great\nastonishment, and with a strange, inexplicable dread, that, as he\nlooked, he saw this bell begin to swing. It swung so softly in the\noutset that it scarcely made a sound; but soon it rang out loudly, and\nso did every bell in the house.\n\nThis might have lasted half a minute, or a minute, but it seemed an\nhour. The bells ceased, as they had begun, together. They were succeeded\nby a clanking noise deep down below as if some person were dragging a\nheavy chain over the casks in the wine-merchant's cellar. Scrooge then\nremembered to have heard that ghosts in haunted houses were described as\ndragging chains.\n\nThe cellar door flew open with a booming sound, and then he heard the\nnoise much louder on the floors below; then coming up the stairs; then\ncoming straight towards his door.\n\n'It's humbug still!' said Scrooge. 'I won't believe it.'\n\nHis colour changed, though, when, without a pause, it came on through\nthe heavy door and passed into the room before his eyes. Upon its coming\nin, the dying flame leaped up, as though it cried, 'I know him! Marley's\nGhost!' and fell again.\n\nThe same face: the very same. Marley in his pigtail, usual waistcoat,\ntights, and boots; the tassels on the latter bristling", - "chunk_order_index": 6, - "full_doc_id": "doc-addb4618e1697da0445ec72a648e1f92" - }, - "chunk-1aa50206d02ed89418f65f97c6441d1c": { - "tokens": 1200, - "content": "I won't believe it.'\n\nHis colour changed, though, when, without a pause, it came on through\nthe heavy door and passed into the room before his eyes. Upon its coming\nin, the dying flame leaped up, as though it cried, 'I know him! Marley's\nGhost!' and fell again.\n\nThe same face: the very same. Marley in his pigtail, usual waistcoat,\ntights, and boots; the tassels on the latter bristling, like his\npigtail, and his coat-skirts, and the hair upon his head. The chain he\ndrew was clasped about his middle. It was long, and wound about him like\na tail; and it was made (for Scrooge observed it closely) of cash-boxes,\nkeys, padlocks, ledgers, deeds, and heavy purses wrought in steel. His\nbody was transparent: so that Scrooge, observing him, and looking\nthrough his waistcoat, could see the two buttons on his coat behind.\n\nScrooge had often heard it said that Marley had no bowels, but he had\nnever believed it until now.\n\nNo, nor did he believe it even now. Though he looked the phantom through\nand through, and saw it standing before him; though he felt the chilling\ninfluence of its death-cold eyes, and marked the very texture of the\nfolded kerchief bound about its head and chin, which wrapper he had not\nobserved before, he was still incredulous, and fought against his\nsenses.\n\n'How now!' said Scrooge, caustic and cold as ever. 'What do you want\nwith me?'\n\n'Much!'--Marley's voice; no doubt about it.\n\n'Who are you?'\n\n'Ask me who I _was_.'\n\n'Who _were_ you, then?' said Scrooge, raising his voice. 'You're\nparticular, for a shade.' He was going to say '_to_ a shade,' but\nsubstituted this, as more appropriate.\n\n'In life I was your partner, Jacob Marley.'\n\n'Can you--can you sit down?' asked Scrooge, looking doubtfully at him.\n\n'I can.'\n\n'Do it, then.'\n\nScrooge asked the question, because he didn't know whether a ghost so\ntransparent might find himself in a condition to take a chair; and felt\nthat in the event of its being impossible, it might involve the\nnecessity of an embarrassing explanation. But the Ghost sat down on the\nopposite side of the fireplace, as if he were quite used to it.\n\n'You don't believe in me,' observed the Ghost.\n\n'I don't,' said Scrooge.\n\n'What evidence would you have of my reality beyond that of your own\nsenses?'\n\n'I don't know,' said Scrooge.\n\n'Why do you doubt your senses?'\n\n'Because,' said Scrooge, 'a little thing affects them. A slight disorder\nof the stomach makes them cheats. You may be an undigested bit of beef,\na blot of mustard, a crumb of cheese, a fragment of an underdone potato.\nThere's more of gravy than of grave about you, whatever you are!'\n\nScrooge was not much in the habit of cracking jokes, nor did he feel in\nhis heart by any means waggish then. The truth is, that he tried to be\nsmart, as a means of distracting his own attention, and keeping down his\nterror; for the spectre's voice disturbed the very marrow in his bones.\n\nTo sit staring at those fixed, glazed eyes in silence, for a moment,\nwould play, Scrooge felt, the very deuce with him. There was something\nvery awful, too, in the spectre's being provided with an infernal\natmosphere of his own. Scrooge could not feel it himself, but this was\nclearly the case; for though the Ghost sat perfectly motionless, its\nhair, and skirts, and tassels were still agitated as by the hot vapour\nfrom an oven.\n\n'You see this toothpick?' said Scrooge, returning quickly to the charge,\nfor the reason just assigned; and wishing, though it were only for a\nsecond, to divert the vision's stony gaze from himself.\n\n'I do,' replied the Ghost.\n\n'You are not looking at it,' said Scrooge.\n\n'But I see it,' said the Ghost, 'notwithstanding.'\n\n'Well!' returned Scrooge, 'I have but to swallow this, and be for the\nrest of my days persecuted by a legion of goblins, all of my own\ncreation. Humbug, I tell you: humbug!'\n\nAt this the spirit raised a frightful cry, and shook its chain with such\na dismal and appalling noise, that Scrooge held on tight to his chair,\nto save himself from falling in a swoon. But how much greater was his\nhorror when the phantom, taking off the bandage round his head, as if it\nwere too warm to wear indoors, its lower jaw dropped down upon its\nbreast!\n\nScrooge fell upon his knees, and clasped his hands before his face.\n\n'Mercy!' he said. 'Dreadful apparition, why do you trouble me?'\n\n'Man of the worldly mind!' replied the Ghost, 'do you believe in me or\nnot?'\n\n'I do,' said Scrooge; 'I must. But why do spirits walk the earth, and\nwhy do they come to me?'\n\n'It is required of every man,' the Ghost returned, 'that the spirit\nwithin him should walk abroad among his fellow-men, and travel far and\nwide", - "chunk_order_index": 7, - "full_doc_id": "doc-addb4618e1697da0445ec72a648e1f92" - }, - "chunk-359187e7571bda4b0b08b2e0b6581e52": { - "tokens": 1200, - "content": "said. 'Dreadful apparition, why do you trouble me?'\n\n'Man of the worldly mind!' replied the Ghost, 'do you believe in me or\nnot?'\n\n'I do,' said Scrooge; 'I must. But why do spirits walk the earth, and\nwhy do they come to me?'\n\n'It is required of every man,' the Ghost returned, 'that the spirit\nwithin him should walk abroad among his fellow-men, and travel far and\nwide; and, if that spirit goes not forth in life, it is condemned to do\nso after death. It is doomed to wander through the world--oh, woe is\nme!--and witness what it cannot share, but might have shared on earth,\nand turned to happiness!'\n\nAgain the spectre raised a cry, and shook its chain and wrung its\nshadowy hands.\n\n'You are fettered,' said Scrooge, trembling. 'Tell me why?'\n\n'I wear the chain I forged in life,' replied the Ghost. 'I made it link\nby link, and yard by yard; I girded it on of my own free will, and of\nmy own free will I wore it. Is its pattern strange to _you_?'\n\nScrooge trembled more and more.\n\n'Or would you know,' pursued the Ghost, 'the weight and length of the\nstrong coil you bear yourself? It was full as heavy and as long as this\nseven Christmas Eves ago. You have laboured on it since. It is a\nponderous chain!'\n\nScrooge glanced about him on the floor, in the expectation of finding\nhimself surrounded by some fifty or sixty fathoms of iron cable; but he\ncould see nothing.\n\n'Jacob!' he said imploringly. 'Old Jacob Marley, tell me more! Speak\ncomfort to me, Jacob!'\n\n'I have none to give,' the Ghost replied. 'It comes from other regions,\nEbenezer Scrooge, and is conveyed by other ministers, to other kinds of\nmen. Nor can I tell you what I would. A very little more is all\npermitted to me. I cannot rest, I cannot stay, I cannot linger anywhere.\nMy spirit never walked beyond our counting-house--mark me;--in life my\nspirit never roved beyond the narrow limits of our money-changing hole;\nand weary journeys lie before me!'\n\nIt was a habit with Scrooge, whenever he became thoughtful, to put his\nhands in his breeches pockets. Pondering on what the Ghost had said, he\ndid so now, but without lifting up his eyes, or getting off his knees.\n\n[Illustration: ON THE WINGS OF THE WIND]\n\n'You must have been very slow about it, Jacob,' Scrooge observed in a\nbusiness-like manner, though with humility and deference.\n\n'Slow!' the Ghost repeated.\n\n'Seven years dead,' mused Scrooge. 'And travelling all the time?'\n\n'The whole time,' said the Ghost. 'No rest, no peace. Incessant torture\nof remorse.'\n\n'You travel fast?' said Scrooge.\n\n[Illustration]\n\n'On the wings of the wind,' replied the Ghost.\n\n'You might have got over a great quantity of ground in seven years,'\nsaid Scrooge.\n\nThe Ghost, on hearing this, set up another cry, and clanked its chain so\nhideously in the dead silence of the night, that the Ward would have\nbeen justified in indicting it for a nuisance.\n\n'Oh! captive, bound, and double-ironed,' cried the phantom, 'not to know\nthat ages of incessant labour, by immortal creatures, for this earth\nmust pass into eternity before the good of which it is susceptible is\nall developed! Not to know that any Christian spirit working kindly in\nits little sphere, whatever it may be, will find its mortal life too\nshort for its vast means of usefulness! Not to know that no space of\nregret can make amends for one life's opportunities misused! Yet such\nwas I! Oh, such was I!'\n\n'But you were always a good man of business, Jacob,' faltered Scrooge,\nwho now began to apply this to himself.\n\n'Business!' cried the Ghost, wringing its hands again. 'Mankind was my\nbusiness. The common welfare was my business; charity, mercy,\nforbearance, and benevolence were, all, my business. The dealings of my\ntrade were but a drop of water in the comprehensive ocean of my\nbusiness!'\n\nIt held up its chain at arm's-length, as if that were the cause of all\nits unavailing grief, and flung it heavily upon the ground again.\n\n'At this time of the rolling year,' the spectre said, 'I suffer most.\nWhy did I walk through crowds of fellow-beings with my eyes turned down,\nand never raise them to that blessed Star which led the Wise Men to a\npoor abode? Were there no poor homes to which its light would have\nconducted _me_?'\n\nScrooge was very much dismayed to hear the spectre going on at this\nrate, and began to quake exceedingly.\n\n'Hear me!' cried the Ghost. 'My time is nearly gone.'\n\n'I will,' said Scrooge. 'But don't be hard upon me! Don't be flowery,\nJacob! Pray!'\n\n'How it is that I appear before you in a shape that you can see, I may\nnot tell. I have sat invisible beside you many and many a day.'\n\nIt was not an agreeable idea. Scrooge shivered, and wiped the\nperspiration from his brow.\n\n'That is no light part of my", - "chunk_order_index": 8, - "full_doc_id": "doc-addb4618e1697da0445ec72a648e1f92" - }, - "chunk-cb661c37436355ccec2769b1d0350c5f": { - "tokens": 1200, - "content": "'My time is nearly gone.'\n\n'I will,' said Scrooge. 'But don't be hard upon me! Don't be flowery,\nJacob! Pray!'\n\n'How it is that I appear before you in a shape that you can see, I may\nnot tell. I have sat invisible beside you many and many a day.'\n\nIt was not an agreeable idea. Scrooge shivered, and wiped the\nperspiration from his brow.\n\n'That is no light part of my penance,' pursued the Ghost. 'I am here\nto-night to warn you that you have yet a chance and hope of escaping my\nfate. A chance and hope of my procuring, Ebenezer.'\n\n'You were always a good friend to me,' said Scrooge. 'Thankee!'\n\n'You will be haunted,' resumed the Ghost, 'by Three Spirits.'\n\nScrooge's countenance fell almost as low as the Ghost's had done.\n\n'Is that the chance and hope you mentioned, Jacob?' he demanded in a\nfaltering voice.\n\n'It is.'\n\n'I--I think I'd rather not,' said Scrooge.\n\n'Without their visits,' said the Ghost, 'you cannot hope to shun the\npath I tread. Expect the first to-morrow when the bell tolls One.'\n\n'Couldn't I take 'em all at once, and have it over, Jacob?' hinted\nScrooge.\n\n'Expect the second on the next night at the same hour. The third, upon\nthe next night when the last stroke of Twelve has ceased to vibrate.\nLook to see me no more; and look that, for your own sake, you remember\nwhat has passed between us!'\n\nWhen it had said these words, the spectre took its wrapper from the\ntable, and bound it round its head as before. Scrooge knew this by the\nsmart sound its teeth made when the jaws were brought together by the\nbandage. He ventured to raise his eyes again, and found his supernatural\nvisitor confronting him in an erect attitude, with its chain wound over\nand about its arm.\n\n[Illustration: _The air was filled with phantoms, wandering hither and\nthither in restless haste and moaning as they went_]\n\nThe apparition walked backward from him; and, at every step it took, the\nwindow raised itself a little, so that, when the spectre reached it, it\nwas wide open. It beckoned Scrooge to approach, which he did. When they\nwere within two paces of each other, Marley's Ghost held up its hand,\nwarning him to come no nearer. Scrooge stopped.\n\nNot so much in obedience as in surprise and fear; for, on the raising of\nthe hand, he became sensible of confused noises in the air; incoherent\nsounds of lamentation and regret; wailings inexpressibly sorrowful and\nself-accusatory. The spectre, after listening for a moment, joined in\nthe mournful dirge; and floated out upon the bleak, dark night.\n\nScrooge followed to the window: desperate in his curiosity. He looked\nout.\n\nThe air was filled with phantoms, wandering hither and thither in\nrestless haste, and moaning as they went. Every one of them wore chains\nlike Marley's Ghost; some few (they might be guilty governments) were\nlinked together; none were free. Many had been personally known to\nScrooge in their lives. He had been quite familiar with one old ghost in\na white waistcoat, with a monstrous iron safe attached to its ankle, who\ncried piteously at being unable to assist a wretched woman with an\ninfant, whom it saw below upon a doorstep. The misery with them all was\nclearly, that they sought to interfere, for good, in human matters, and\nhad lost the power for ever.\n\nWhether these creatures faded into mist, or mist enshrouded them, he\ncould not tell. But they and their spirit voices faded together; and\nthe night became as it had been when he walked home.\n\nScrooge closed the window, and examined the door by which the Ghost had\nentered. It was double locked, as he had locked it with his own hands,\nand the bolts were undisturbed. He tried to say 'Humbug!' but stopped at\nthe first syllable. And being, from the emotions he had undergone, or\nthe fatigues of the day, or his glimpse of the Invisible World, or the\ndull conversation of the Ghost, or the lateness of the hour, much in\nneed of repose, went straight to bed without undressing, and fell asleep\nupon the instant.\n\n[Illustration]\n\n\nSTAVE TWO\n\n[Illustration]\n\n\n\n\nTHE FIRST OF THE THREE SPIRITS\n\n\nWhen Scrooge awoke it was so dark, that, looking out of bed, he could\nscarcely distinguish the transparent window from the opaque walls of his\nchamber. He was endeavouring to pierce the darkness with his ferret\neyes, when the chimes of a neighbouring church struck the four quarters.\nSo he listened for the hour.\n\nTo his great astonishment, the heavy bell went on from six to seven, and\nfrom seven to eight, and regularly up to twelve; then stopped. Twelve!\nIt was past two when he went to bed. The clock was wrong. An icicle must\nhave got into the works. Twelve!\n\nHe touched the spring of his repeater, to correct this most preposterous\nclock. Its rapid little pulse beat twelve, and stopped.\n\n'Why, it isn't possible,' said Scrooge, 'that I can have slept through a\nwhole day and far into", - "chunk_order_index": 9, - "full_doc_id": "doc-addb4618e1697da0445ec72a648e1f92" - }, - "chunk-c7b10789a9cb0af6c553730b29bd9034": { - "tokens": 1200, - "content": "from seven to eight, and regularly up to twelve; then stopped. Twelve!\nIt was past two when he went to bed. The clock was wrong. An icicle must\nhave got into the works. Twelve!\n\nHe touched the spring of his repeater, to correct this most preposterous\nclock. Its rapid little pulse beat twelve, and stopped.\n\n'Why, it isn't possible,' said Scrooge, 'that I can have slept through a\nwhole day and far into another night. It isn't possible that anything\nhas happened to the sun, and this is twelve at noon!'\n\nThe idea being an alarming one, he scrambled out of bed, and groped his\nway to the window. He was obliged to rub the frost off with the sleeve\nof his dressing-gown before he could see anything; and could see very\nlittle then. All he could make out was, that it was still very foggy and\nextremely cold, and that there was no noise of people running to and\nfro, and making a great stir, as there unquestionably would have been if\nnight had beaten off bright day, and taken possession of the world. This\nwas a great relief, because 'Three days after sight of this First of\nExchange pay to Mr. Ebenezer Scrooge or his order,' and so forth, would\nhave become a mere United States security if there were no days to count\nby.\n\nScrooge went to bed again, and thought, and thought, and thought it over\nand over, and could make nothing of it. The more he thought, the more\nperplexed he was; and, the more he endeavoured not to think, the more he\nthought.\n\nMarley's Ghost bothered him exceedingly. Every time he resolved within\nhimself, after mature inquiry that it was all a dream, his mind flew\nback again, like a strong spring released, to its first position, and\npresented the same problem to be worked all through, 'Was it a dream or\nnot?'\n\nScrooge lay in this state until the chime had gone three-quarters more,\nwhen he remembered, on a sudden, that the Ghost had warned him of a\nvisitation when the bell tolled one. He resolved to lie awake until the\nhour was passed; and, considering that he could no more go to sleep than\ngo to heaven, this was, perhaps, the wisest resolution in his power.\n\nThe quarter was so long, that he was more than once convinced he must\nhave sunk into a doze unconsciously, and missed the clock. At length it\nbroke upon his listening ear.\n\n'Ding, dong!'\n\n'A quarter past,' said Scrooge, counting.\n\n'Ding, dong!'\n\n'Half past,' said Scrooge.\n\n'Ding, dong!'\n\n'A quarter to it.' said Scrooge.\n\n'Ding, dong!'\n\n'The hour itself,' said Scrooge triumphantly, 'and nothing else!'\n\nHe spoke before the hour bell sounded, which it now did with a deep,\ndull, hollow, melancholy ONE. Light flashed up in the room upon the\ninstant, and the curtains of his bed were drawn.\n\nThe curtains of his bed were drawn aside, I tell you, by a hand. Not\nthe curtains at his feet, nor the curtains at his back, but those to\nwhich his face was addressed. The curtains of his bed were drawn aside;\nand Scrooge, starting up into a half-recumbent attitude, found himself\nface to face with the unearthly visitor who drew them: as close to it as\nI am now to you, and I am standing in the spirit at your elbow.\n\nIt was a strange figure--like a child; yet not so like a child as like\nan old man, viewed through some supernatural medium, which gave him the\nappearance of having receded from the view, and being diminished to a\nchild's proportions. Its hair, which hung about its neck and down its\nback, was white, as if with age; and yet the face had not a wrinkle in\nit, and the tenderest bloom was on the skin. The arms were very long and\nmuscular; the hands the same, as if its hold were of uncommon strength.\nIts legs and feet, most delicately formed, were, like those upper\nmembers, bare. It wore a tunic of the purest white; and round its waist\nwas bound a lustrous belt, the sheen of which was beautiful. It held a\nbranch of fresh green holly in its hand; and, in singular contradiction\nof that wintry emblem, had its dress trimmed with summer flowers. But\nthe strangest thing about it was, that from the crown of its head there\nsprang a bright clear jet of light, by which all this was visible; and\nwhich was doubtless the occasion of its using, in its duller moments, a\ngreat extinguisher for a cap, which it now held under its arm.\n\nEven this, though, when Scrooge looked at it with increasing steadiness,\nwas _not_ its strangest quality. For, as its belt sparkled and\nglittered, now in one part and now in another, and what was light one\ninstant at another time was dark, so the figure itself fluctuated in its\ndistinctness; being now a thing with one arm, now with one leg, now with\ntwenty legs, now a pair of legs without a head, now a head without a\nbody: of which dissolving parts no outline would be visible in the dense\ngloom wherein they melted away. And, in the very wonder of this, it\nwould be itself again; distinct and clear as ever.", - "chunk_order_index": 10, - "full_doc_id": "doc-addb4618e1697da0445ec72a648e1f92" - }, - "chunk-bb21d58d36c6306fd8810ddd51c4a971": { - "tokens": 1200, - "content": "instant at another time was dark, so the figure itself fluctuated in its\ndistinctness; being now a thing with one arm, now with one leg, now with\ntwenty legs, now a pair of legs without a head, now a head without a\nbody: of which dissolving parts no outline would be visible in the dense\ngloom wherein they melted away. And, in the very wonder of this, it\nwould be itself again; distinct and clear as ever.\n\n'Are you the Spirit, sir, whose coming was foretold to me?' asked\nScrooge.\n\n'I am!'\n\nThe voice was soft and gentle. Singularly low, as if, instead of being\nso close behind him, it were at a distance.\n\n'Who and what are you?' Scrooge demanded.\n\n'I am the Ghost of Christmas Past.'\n\n'Long Past?' inquired Scrooge, observant of its dwarfish stature.\n\n'No. Your past.'\n\nPerhaps Scrooge could not have told anybody why, if anybody could have\nasked him; but he had a special desire to see the Spirit in his cap,\nand begged him to be covered.\n\n'What!' exclaimed the Ghost, 'would you so soon put out, with worldly\nhands, the light I give? Is it not enough that you are one of those\nwhose passions made this cap, and force me through whole trains of years\nto wear it low upon my brow?'\n\nScrooge reverently disclaimed all intention to offend or any knowledge\nof having wilfully 'bonneted' the Spirit at any period of his life. He\nthen made bold to inquire what business brought him there.\n\n'Your welfare!' said the Ghost.\n\nScrooge expressed himself much obliged, but could not help thinking that\na night of unbroken rest would have been more conducive to that end. The\nSpirit must have heard him thinking, for it said immediately--\n\n'Your reclamation, then. Take heed!'\n\nIt put out its strong hand as it spoke, and clasped him gently by the\narm.\n\n'Rise! and walk with me!'\n\nIt would have been in vain for Scrooge to plead that the weather and the\nhour were not adapted to pedestrian purposes; that bed was warm, and the\nthermometer a long way below freezing; that he was clad but lightly in\nhis slippers, dressing-gown, and nightcap; and that he had a cold upon\nhim at that time. The grasp, though gentle as a woman's hand, was not\nto be resisted. He rose; but, finding that the Spirit made towards the\nwindow, clasped its robe in supplication.\n\n'I am a mortal,' Scrooge remonstrated, 'and liable to fall.'\n\n'Bear but a touch of my hand _there_,' said the Spirit, laying it upon\nhis heart, 'and you shall be upheld in more than this!'\n\nAs the words were spoken, they passed through the wall, and stood upon\nan open country road, with fields on either hand. The city had entirely\nvanished. Not a vestige of it was to be seen. The darkness and the mist\nhad vanished with it, for it was a clear, cold, winter day, with snow\nupon the ground.\n\n'Good Heaven!' said Scrooge, clasping his hands together, as he looked\nabout him. 'I was bred in this place. I was a boy here!'\n\nThe Spirit gazed upon him mildly. Its gentle touch, though it had been\nlight and instantaneous, appeared still present to the old man's sense\nof feeling. He was conscious of a thousand odours floating in the air,\neach one connected with a thousand thoughts, and hopes, and joys, and\ncares long, long forgotten!\n\n'Your lip is trembling,' said the Ghost. 'And what is that upon your\ncheek?'\n\nScrooge muttered, with an unusual catching in his voice, that it was a\npimple; and begged the Ghost to lead him where he would.\n\n'You recollect the way?' inquired the Spirit.\n\n'Remember it!' cried Scrooge with fervour; 'I could walk it blindfold.'\n\n'Strange to have forgotten it for so many years!' observed the Ghost.\n'Let us go on.'\n\nThey walked along the road, Scrooge recognising every gate, and post,\nand tree, until a little market-town appeared in the distance, with its\nbridge, its church, and winding river. Some shaggy ponies now were seen\ntrotting towards them with boys upon their backs, who called to other\nboys in country gigs and carts, driven by farmers. All these boys were\nin great spirits, and shouted to each other, until the broad fields were\nso full of merry music, that the crisp air laughed to hear it.\n\n'These are but shadows of the things that have been,' said the Ghost.\n'They have no consciousness of us.'\n\nThe jocund travellers came on; and as they came, Scrooge knew and named\nthem every one. Why was he rejoiced beyond all bounds to see them? Why\ndid his cold eye glisten, and his heart leap up as they went past? Why\nwas he filled with gladness when he heard them give each other Merry\nChristmas, as they parted at cross-roads and by-ways for their several\nhomes? What was merry Christmas to Scrooge? Out upon merry Christmas!\nWhat good had it ever done to him?\n\n'The school is not quite deserted,' said the Ghost. 'A solitary child,\nneglected by his friends, is left there still.'\n\nScrooge said he knew it. And he sobbed.\n\nThey left the high-road by a well-remembered lane and soon approached", - "chunk_order_index": 11, - "full_doc_id": "doc-addb4618e1697da0445ec72a648e1f92" - }, - "chunk-8590d9263cd2cd4fa583c432fc54e6c3": { - "tokens": 1200, - "content": "Merry\nChristmas, as they parted at cross-roads and by-ways for their several\nhomes? What was merry Christmas to Scrooge? Out upon merry Christmas!\nWhat good had it ever done to him?\n\n'The school is not quite deserted,' said the Ghost. 'A solitary child,\nneglected by his friends, is left there still.'\n\nScrooge said he knew it. And he sobbed.\n\nThey left the high-road by a well-remembered lane and soon approached a\nmansion of dull red brick, with a little weather-cock surmounted cupola\non the roof, and a bell hanging in it. It was a large house, but one of\nbroken fortunes; for the spacious offices were little used, their walls\nwere damp and mossy, their windows broken, and their gates decayed.\nFowls clucked and strutted in the stables; and the coach-houses and\nsheds were overrun with grass. Nor was it more retentive of its ancient\nstate within; for, entering the dreary hall, and glancing through the\nopen doors of many rooms, they found them poorly furnished, cold, and\nvast. There was an earthy savour in the air, a chilly bareness in the\nplace, which associated itself somehow with too much getting up by\ncandle light and not too much to eat.\n\nThey went, the Ghost and Scrooge, across the hall, to a door at the back\nof the house. It opened before them, and disclosed a long, bare,\nmelancholy room, made barer still by lines of plain deal forms and\ndesks. At one of these a lonely boy was reading near a feeble fire; and\nScrooge sat down upon a form, and wept to see his poor forgotten self as\nhe had used to be.\n\nNot a latent echo in the house, not a squeak and scuffle from the mice\nbehind the panelling, not a drip from the half-thawed waterspout in the\ndull yard behind, not a sigh among the leafless boughs of one despondent\npoplar, not the idle swinging of an empty storehouse door, no, not a\nclicking in the fire, but fell upon the heart of Scrooge with softening\ninfluence, and gave a freer passage to his tears.\n\nThe Spirit touched him on the arm, and pointed to his younger self,\nintent upon his reading. Suddenly a man in foreign garments, wonderfully\nreal and distinct to look at, stood outside the window, with an axe\nstuck in his belt, and leading by the bridle an ass laden with wood.\n\n'Why, it's Ali Baba!' Scrooge exclaimed in ecstasy. 'It's dear old\nhonest Ali Baba! Yes, yes, I know. One Christmas-time, when yonder\nsolitary child was left here all alone, he _did_ come, for the first\ntime, just like that. Poor boy! And Valentine,' said Scrooge, 'and his\nwild brother, Orson; there they go! And what's his name, who was put\ndown in his drawers, asleep, at the gate of Damascus; don't you see him?\nAnd the Sultan's Groom turned upside down by the Genii; there he is upon\nhis head! Serve him right! I'm glad of it. What business had he to be\nmarried to the Princess?'\n\nTo hear Scrooge expending all the earnestness of his nature on such\nsubjects, in a most extraordinary voice between laughing and crying; and\nto see his heightened and excited face; would have been a surprise to\nhis business friends in the City, indeed.\n\n'There's the Parrot!' cried Scrooge. 'Green body and yellow tail, with a\nthing like a lettuce growing out of the top of his head; there he is!\nPoor Robin Crusoe he called him, when he came home again after sailing\nround the island. \"Poor Robin Crusoe, where have you been, Robin\nCrusoe?\" The man thought he was dreaming, but he wasn't. It was the\nParrot, you know. There goes Friday, running for his life to the little\ncreek! Halloa! Hoop! Halloo!'\n\nThen, with a rapidity of transition very foreign to his usual character,\nhe said, in pity for his former self, 'Poor boy!' and cried again.\n\n'I wish,' Scrooge muttered, putting his hand in his pocket, and looking\nabout him, after drying his eyes with his cuff; 'but it's too late now.'\n\n'What is the matter?' asked the Spirit.\n\n'Nothing,' said Scrooge. 'Nothing. There was a boy singing a Christmas\ncarol at my door last night. I should like to have given him something:\nthat's all.'\n\nThe Ghost smiled thoughtfully, and waved its hand, saying as it did so,\n'Let us see another Christmas!'\n\nScrooge's former self grew larger at the words, and the room became a\nlittle darker and more dirty. The panels shrunk, the windows cracked;\nfragments of plaster fell out of the ceiling, and the naked laths were\nshown instead; but how all this was brought about Scrooge knew no more\nthan you do. He only knew that it was quite correct; that everything had\nhappened so; that there he was, alone again, when all the other boys had\ngone home for the jolly holidays.\n\nHe was not reading now, but walking up and down despairingly. Scrooge\nlooked at the Ghost, and, with a mournful shaking of his head, glanced\nanxiously towards the door.\n\nIt opened; and a little girl, much", - "chunk_order_index": 12, - "full_doc_id": "doc-addb4618e1697da0445ec72a648e1f92" - }, - "chunk-c6c248858d1b13ab7ee9ca13c1aeed6b": { - "tokens": 1200, - "content": "more\nthan you do. He only knew that it was quite correct; that everything had\nhappened so; that there he was, alone again, when all the other boys had\ngone home for the jolly holidays.\n\nHe was not reading now, but walking up and down despairingly. Scrooge\nlooked at the Ghost, and, with a mournful shaking of his head, glanced\nanxiously towards the door.\n\nIt opened; and a little girl, much younger than the boy, came darting\nin, and, putting her arms about his neck, and often kissing him,\naddressed him as her 'dear, dear brother.'\n\n'I have come to bring you home, dear brother!' said the child, clapping\nher tiny hands, and bending down to laugh. 'To bring you home, home,\nhome!'\n\n'Home, little Fan?' returned the boy.\n\n'Yes!' said the child, brimful of glee. 'Home for good and all. Home for\never and ever. Father is so much kinder than he used to be, that home's\nlike heaven! He spoke so gently to me one dear night when I was going to\nbed, that I was not afraid to ask him once more if you might come home;\nand he said Yes, you should; and sent me in a coach to bring you. And\nyou're to be a man!' said the child, opening her eyes; 'and are never to\ncome back here; but first we're to be together all the Christmas long,\nand have the merriest time in all the world.'\n\n'You are quite a woman, little Fan!' exclaimed the boy.\n\nShe clapped her hands and laughed, and tried to touch his head; but,\nbeing too little laughed again, and stood on tiptoe to embrace him. Then\nshe began to drag him, in her childish eagerness, towards the door; and\nhe, nothing loath to go, accompanied her.\n\nA terrible voice in the hall cried, 'Bring down Master Scrooge's box,\nthere!' and in the hall appeared the schoolmaster himself, who glared on\nMaster Scrooge with a ferocious condescension, and threw him into a\ndreadful state of mind by shaking hands with him. He then conveyed him\nand his sister into the veriest old well of a shivering best parlour\nthat ever was seen, where the maps upon the wall, and the celestial and\nterrestrial globes in the windows, were waxy with cold. Here he produced\na decanter of curiously light wine, and a block of curiously heavy cake,\nand administered instalments of those dainties to the young people; at\nthe same time sending out a meagre servant to offer a glass of\n'something' to the postboy, who answered that he thanked the gentleman,\nbut, if it was the same tap as he had tasted before, he had rather not.\nMaster Scrooge's trunk being by this time tied on to the top of the\nchaise, the children bade the schoolmaster good-bye right willingly;\nand, getting into it, drove gaily down the garden sweep; the quick\nwheels dashing the hoar-frost and snow from off the dark leaves of the\nevergreens like spray.\n\n[Illustration: HE PRODUCED A DECANTER OF CURIOUSLY LIGHT WINE, AND A\nBLOCK OF CURIOUSLY HEAVY CAKE]\n\n'Always a delicate creature, whom a breath might have withered,' said\nthe Ghost. 'But she had a large heart!'\n\n'So she had,' cried Scrooge. 'You're right. I will not gainsay it,\nSpirit. God forbid!'\n\n'She died a woman,' said the Ghost, 'and had, as I think, children.'\n\n'One child,' Scrooge returned.\n\n'True,' said the Ghost. 'Your nephew!'\n\nScrooge seemed uneasy in his mind, and answered briefly, 'Yes.'\n\nAlthough they had but that moment left the school behind them, they were\nnow in the busy thoroughfares of a city, where shadowy passengers passed\nand re-passed; where shadowy carts and coaches battled for the way, and\nall the strife and tumult of a real city were. It was made plain enough,\nby the dressing of the shops, that here, too, it was Christmas-time\nagain; but it was evening, and the streets were lighted up.\n\nThe Ghost stopped at a certain warehouse door, and asked Scrooge if he\nknew it.\n\n'Know it!' said Scrooge. 'Was I apprenticed here?'\n\nThey went in. At sight of an old gentleman in a Welsh wig, sitting\nbehind such a high desk, that if he had been two inches taller, he must\nhave knocked his head against the ceiling, Scrooge cried in great\nexcitement--\n\n'Why, it's old Fezziwig! Bless his heart, it's Fezziwig alive again!'\n\nOld Fezziwig laid down his pen, and looked up at the clock, which\npointed to the hour of seven. He rubbed his hands; adjusted his\ncapacious waistcoat; laughed all over himself, from his shoes to his\norgan of benevolence; and called out, in a comfortable, oily, rich, fat,\njovial voice--\n\n'Yo ho, there! Ebenezer! Dick!'\n\nScrooge's former self, now grown a young man, came briskly in,\naccompanied by his fellow-'prentice.\n\n'Dick Wilkins, to be sure!' said Scrooge to the Ghost. 'Bless me, yes.\nThere he is. He was very much attached to me, was Dick", - "chunk_order_index": 13, - "full_doc_id": "doc-addb4618e1697da0445ec72a648e1f92" - }, - "chunk-8bc1edd983869352d14cf0886a9175a7": { - "tokens": 1200, - "content": "benevolence; and called out, in a comfortable, oily, rich, fat,\njovial voice--\n\n'Yo ho, there! Ebenezer! Dick!'\n\nScrooge's former self, now grown a young man, came briskly in,\naccompanied by his fellow-'prentice.\n\n'Dick Wilkins, to be sure!' said Scrooge to the Ghost. 'Bless me, yes.\nThere he is. He was very much attached to me, was Dick. Poor Dick! Dear,\ndear!'\n\n'Yo ho, my boys!' said Fezziwig. 'No more work to-night. Christmas Eve,\nDick. Christmas, Ebenezer! Let's have the shutters up,' cried old\nFezziwig, with a sharp clap of his hands, 'before a man can say Jack\nRobinson!'\n\nYou wouldn't believe how those two fellows went at it! They charged into\nthe street with the shutters--one, two, three--had 'em up in their\nplaces--four, five, six--barred 'em and pinned 'em--seven, eight,\nnine--and came back before you could have got to twelve, panting like\nracehorses.\n\n'Hilli-ho!' cried old Fezziwig, skipping down from the high desk with\nwonderful agility. 'Clear away, my lads, and let's have lots of room\nhere! Hilli-ho, Dick! Chirrup, Ebenezer!'\n\nClear away! There was nothing they wouldn't have cleared away, or\ncouldn't have cleared away, with old Fezziwig looking on. It was done in\na minute. Every movable was packed off, as if it were dismissed from\npublic life for evermore; the floor was swept and watered, the lamps\nwere trimmed, fuel was heaped upon the fire; and the warehouse was as\nsnug, and warm, and dry, and bright a ball-room as you would desire to\nsee upon a winter's night.\n\nIn came a fiddler with a music-book, and went up to the lofty desk, and\nmade an orchestra of it, and tuned like fifty stomach-aches. In came\nMrs. Fezziwig, one vast substantial smile. In came the three Miss\nFezziwigs, beaming and lovable. In came the six young followers whose\nhearts they broke. In came all the young men and women employed in the\nbusiness. In came the housemaid, with her cousin the baker. In came the\ncook with her brother's particular friend the milkman. In came the boy\nfrom over the way, who was suspected of not having board enough from his\nmaster; trying to hide himself behind the girl from next door but one,\nwho was proved to have had her ears pulled by her mistress. In they all\ncame, one after another; some shyly, some boldly, some gracefully, some\nawkwardly, some pushing, some pulling; in they all came, any how and\nevery how. Away they all went, twenty couple at once; hands half round\nand back again the other way; down the middle and up again; round and\nround in various stages of affectionate grouping; old top couple always\nturning up in the wrong place; new top couple starting off again as soon\nas they got there; all top couples at last, and not a bottom one to help\nthem! When this result was brought about, old Fezziwig, clapping his\nhands to stop the dance, cried out, 'Well done!' and the fiddler plunged\nhis hot face into a pot of porter, especially provided for that purpose.\nBut, scorning rest upon his reappearance, he instantly began again,\nthough there were no dancers yet, as if the other fiddler had been\ncarried home, exhausted, on a shutter, and he were a bran-new man\nresolved to beat him out of sight, or perish.\n\n[Illustration: _Then old Fezziwig stood out to dance with Mrs.\nFezziwig_]\n\nThere were more dances, and there were forfeits, and more dances, and\nthere was cake, and there was negus, and there was a great piece of Cold\nRoast, and there was a great piece of Cold Boiled, and there were\nmince-pies, and plenty of beer. But the great effect of the evening came\nafter the Roast and Boiled, when the fiddler (an artful dog, mind! The\nsort of man who knew his business better than you or I could have told\nit him!) struck up 'Sir Roger de Coverley.' Then old Fezziwig stood\nout to dance with Mrs. Fezziwig. Top couple, too; with a good stiff\npiece of work cut out for them; three or four and twenty pair of\npartners; people who were not to be trifled with; people who would\ndance, and had no notion of walking.\n\nBut if they had been twice as many--ah! four times--old Fezziwig would\nhave been a match for them, and so would Mrs. Fezziwig. As to _her_, she\nwas worthy to be his partner in every sense of the term. If that's not\nhigh praise, tell me higher, and I'll use it. A positive light appeared\nto issue from Fezziwig's calves. They shone in every part of the dance\nlike moons. You couldn't have predicted, at any given time, what would\nbecome of them next. And when old Fezziwig and Mrs. Fezziwig had gone\nall through the dance; advance and retire, both hands to your partner,\nbow and curtsy, cork-screw, thread-the-needle", - "chunk_order_index": 14, - "full_doc_id": "doc-addb4618e1697da0445ec72a648e1f92" - }, - "chunk-b2f98bc7abb0c67d4c86055c7fd72218": { - "tokens": 1200, - "content": "me higher, and I'll use it. A positive light appeared\nto issue from Fezziwig's calves. They shone in every part of the dance\nlike moons. You couldn't have predicted, at any given time, what would\nbecome of them next. And when old Fezziwig and Mrs. Fezziwig had gone\nall through the dance; advance and retire, both hands to your partner,\nbow and curtsy, cork-screw, thread-the-needle, and back again to your\nplace: Fezziwig 'cut'--cut so deftly, that he appeared to wink with his\nlegs, and came upon his feet again without a stagger.\n\nWhen the clock struck eleven, this domestic ball broke up. Mr. and Mrs.\nFezziwig took their stations, one on either side the door, and, shaking\nhands with every person individually as he or she went out, wished him\nor her a Merry Christmas. When everybody had retired but the two\n'prentices, they did the same to them; and thus the cheerful voices died\naway, and the lads were left to their beds; which were under a counter\nin the back-shop.\n\nDuring the whole of this time Scrooge had acted like a man out of his\nwits. His heart and soul were in the scene, and with his former self. He\ncorroborated everything, remembered everything, enjoyed everything, and\nunderwent the strangest agitation. It was not until now, when the bright\nfaces of his former self and Dick were turned from them, that he\nremembered the Ghost, and became conscious that it was looking full upon\nhim, while the light upon its head burnt very clear.\n\n'A small matter,' said the Ghost, 'to make these silly folks so full of\ngratitude.'\n\n'Small!' echoed Scrooge.\n\nThe Spirit signed to him to listen to the two apprentices, who were\npouring out their hearts in praise of Fezziwig; and when he had done so,\nsaid:\n\n'Why! Is it not? He has spent but a few pounds of your mortal money:\nthree or four, perhaps. Is that so much that he deserves this praise?'\n\n'It isn't that,' said Scrooge, heated by the remark, and speaking\nunconsciously like his former, not his latter self. 'It isn't that,\nSpirit. He has the power to render us happy or unhappy; to make our\nservice light or burdensome; a pleasure or a toil. Say that his power\nlies in words and looks; in things so slight and insignificant that it\nis impossible to add and count 'em up: what then? The happiness he gives\nis quite as great as if it cost a fortune.'\n\nHe felt the Spirit's glance, and stopped.\n\n'What is the matter?' asked the Ghost.\n\n'Nothing particular,' said Scrooge.\n\n'Something, I think?' the Ghost insisted.\n\n'No,' said Scrooge, 'no. I should like to be able to say a word or two\nto my clerk just now. That's all.'\n\nHis former self turned down the lamps as he gave utterance to the wish;\nand Scrooge and the Ghost again stood side by side in the open air.\n\n'My time grows short,' observed the Spirit. 'Quick!'\n\nThis was not addressed to Scrooge, or to any one whom he could see, but\nit produced an immediate effect. For again Scrooge saw himself. He was\nolder now; a man in the prime of life. His face had not the harsh and\nrigid lines of later years; but it had begun to wear the signs of care\nand avarice. There was an eager, greedy, restless motion in the eye,\nwhich showed the passion that had taken root, and where the shadow of\nthe growing tree would fall.\n\nHe was not alone, but sat by the side of a fair young girl in a mourning\ndress: in whose eyes there were tears, which sparkled in the light that\nshone out of the Ghost of Christmas Past.\n\n'It matters little,' she said softly. 'To you, very little. Another idol\nhas displaced me; and, if it can cheer and comfort you in time to come\nas I would have tried to do, I have no just cause to grieve.'\n\n'What Idol has displaced you?' he rejoined.\n\n'A golden one.'\n\n'This is the even-handed dealing of the world!' he said. 'There is\nnothing on which it is so hard as poverty; and there is nothing it\nprofesses to condemn with such severity as the pursuit of wealth!'\n\n'You fear the world too much,' she answered gently. 'All your other\nhopes have merged into the hope of being beyond the chance of its sordid\nreproach. I have seen your nobler aspirations fall off one by one, until\nthe master passion, Gain, engrosses you. Have I not?'\n\n'What then?' he retorted. 'Even if I have grown so much wiser, what\nthen? I am not changed towards you.'\n\nShe shook her head.\n\n'Am I?'\n\n'Our contract is an old one. It was made when we were both poor, and\ncontent to be so, until, in good season, we could improve our worldly\nfortune by our patient industry. You _are_ changed. When it was made you\nwere another man.'\n\n'I was a boy,' he said impatiently.\n\n'Your own feeling tells you that you were not what you are,' she\nreturned. 'I am. That which promised happiness when we were one in heart\nis fraught with misery now that we are two. How often and how keenly I\nhave thought of this I will", - "chunk_order_index": 15, - "full_doc_id": "doc-addb4618e1697da0445ec72a648e1f92" - }, - "chunk-54bdd22db1f84a965b5f4c06c9216d8d": { - "tokens": 1200, - "content": "in good season, we could improve our worldly\nfortune by our patient industry. You _are_ changed. When it was made you\nwere another man.'\n\n'I was a boy,' he said impatiently.\n\n'Your own feeling tells you that you were not what you are,' she\nreturned. 'I am. That which promised happiness when we were one in heart\nis fraught with misery now that we are two. How often and how keenly I\nhave thought of this I will not say. It is enough that I _have_ thought\nof it, and can release you.'\n\n'Have I ever sought release?'\n\n'In words. No. Never.'\n\n'In what, then?'\n\n'In a changed nature; in an altered spirit; in another atmosphere of\nlife; another Hope as its great end. In everything that made my love of\nany worth or value in your sight. If this had never been between us,'\nsaid the girl, looking mildly, but with steadiness, upon him; 'tell me,\nwould you seek me out and try to win me now? Ah, no!'\n\nHe seemed to yield to the justice of this supposition in spite of\nhimself. But he said, with a struggle, 'You think not.'\n\n'I would gladly think otherwise if I could,' she answered. 'Heaven\nknows! When _I_ have learned a Truth like this, I know how strong and\nirresistible it must be. But if you were free to-day, to-morrow,\nyesterday, can even I believe that you would choose a dowerless\ngirl--you who, in your very confidence with her, weigh everything by\nGain: or, choosing her, if for a moment you were false enough to your\none guiding principle to do so, do I not know that your repentance and\nregret would surely follow? I do; and I release you. With a full heart,\nfor the love of him you once were.'\n\n[Illustration: SHE LEFT HIM, AND THEY PARTED]\n\nHe was about to speak; but, with her head turned from him, she resumed:\n\n'You may--the memory of what is past half makes me hope you will--have\npain in this. A very, very brief time, and you will dismiss the\nrecollection of it gladly, as an unprofitable dream, from which it\nhappened well that you awoke. May you be happy in the life you have\nchosen!'\n\nShe left him, and they parted.\n\n'Spirit!' said Scrooge, 'show me no more! Conduct me home. Why do you\ndelight to torture me?'\n\n'One shadow more!' exclaimed the Ghost.\n\n'No more!' cried Scrooge. 'No more! I don't wish to see it. Show me no\nmore!'\n\nBut the relentless Ghost pinioned him in both his arms, and forced him\nto observe what happened next.\n\nThey were in another scene and place; a room, not very large or\nhandsome, but full of comfort. Near to the winter fire sat a beautiful\nyoung girl, so like that last that Scrooge believed it was the same,\nuntil he saw _her_, now a comely matron, sitting opposite her daughter.\nThe noise in this room was perfectly tumultuous, for there were more\nchildren there than Scrooge in his agitated state of mind could count;\nand, unlike the celebrated herd in the poem, they were not forty\nchildren conducting themselves like one, but every child was conducting\nitself like forty. The consequences were uproarious beyond belief; but\nno one seemed to care; on the contrary, the mother and daughter laughed\nheartily, and enjoyed it very much; and the latter, soon beginning to\nmingle in the sports, got pillaged by the young brigands most\nruthlessly. What would I not have given to be one of them! Though I\nnever could have been so rude, no, no! I wouldn't for the wealth of all\nthe world have crushed that braided hair, and torn it down; and for the\nprecious little shoe, I wouldn't have plucked it off, God bless my soul!\nto save my life. As to measuring her waist in sport, as they did, bold\nyoung brood, I couldn't have done it; I should have expected my arm to\nhave grown round it for a punishment, and never come straight again. And\nyet I should have dearly liked, I own, to have touched her lips; to have\nquestioned her, that she might have opened them; to have looked upon the\nlashes of her downcast eyes, and never raised a blush; to have let loose\nwaves of hair, an inch of which would be a keepsake beyond price: in\nshort, I should have liked, I do confess, to have had the lightest\nlicense of a child, and yet to have been man enough to know its value.\n\n[Illustration: _A flushed and boisterous group_]\n\nBut now a knocking at the door was heard, and such a rush immediately\nensued that she, with laughing face and plundered dress, was borne\ntowards it the centre of a flushed and boisterous group, just in time to\ngreet the father, who came home attended by a man laden with Christmas\ntoys and presents. Then the shouting and the struggling, and the\nonslaught that was made on the defenceless porter! The scaling him, with\nchairs for ladders, to dive into his pockets, despoil him of\nbrown-paper parcels, hold on tight by his cravat, hug him round his\nneck, pummel his back, and kick his legs in irrepressible", - "chunk_order_index": 16, - "full_doc_id": "doc-addb4618e1697da0445ec72a648e1f92" - }, - "chunk-da2472b4ef2a535b62908f14d0fb0ca9": { - "tokens": 1200, - "content": "greet the father, who came home attended by a man laden with Christmas\ntoys and presents. Then the shouting and the struggling, and the\nonslaught that was made on the defenceless porter! The scaling him, with\nchairs for ladders, to dive into his pockets, despoil him of\nbrown-paper parcels, hold on tight by his cravat, hug him round his\nneck, pummel his back, and kick his legs in irrepressible affection! The\nshouts of wonder and delight with which the development of every package\nwas received! The terrible announcement that the baby had been taken in\nthe act of putting a doll's frying pan into his mouth, and was more than\nsuspected of having swallowed a fictitious turkey, glued on a wooden\nplatter! The immense relief of finding this a false alarm! The joy, and\ngratitude, and ecstasy! They are all indescribable alike. It is enough\nthat, by degrees, the children and their emotions got out of the\nparlour, and, by one stair at a time, up to the top of the house, where\nthey went to bed, and so subsided.\n\nAnd now Scrooge looked on more attentively than ever, when the master of\nthe house, having his daughter leaning fondly on him, sat down with her\nand her mother at his own fireside; and when he thought that such\nanother creature, quite as graceful and as full of promise, might have\ncalled him father, and been a spring-time in the haggard winter of his\nlife, his sight grew very dim indeed.\n\n'Belle,' said the husband, turning to his wife with a smile, 'I saw an\nold friend of yours this afternoon.'\n\n'Who was it?'\n\n'Guess!'\n\n'How can I? Tut, don't I know?' she added in the same breath, laughing\nas he laughed. 'Mr. Scrooge.'\n\n'Mr. Scrooge it was. I passed his office window; and as it was not shut\nup, and he had a candle inside, I could scarcely help seeing him. His\npartner lies upon the point of death, I hear; and there he sat alone.\nQuite alone in the world, I do believe.'\n\n'Spirit!' said Scrooge in a broken voice, 'remove me from this place.'\n\n'I told you these were shadows of the things that have been,' said the\nGhost. 'That they are what they are do not blame me!'\n\n'Remove me!' Scrooge exclaimed, 'I cannot bear it!'\n\nHe turned upon the Ghost, and seeing that it looked upon him with a\nface, in which in some strange way there were fragments of all the faces\nit had shown him, wrestled with it.\n\n'Leave me! Take me back. Haunt me no longer!'\n\nIn the struggle, if that can be called a struggle in which the Ghost\nwith no visible resistance on its own part was undisturbed by any effort\nof its adversary, Scrooge observed that its light was burning high and\nbright; and dimly connecting that with its influence over him, he seized\nthe extinguisher-cap, and by a sudden action pressed it down upon its\nhead.\n\n[Illustration: _Laden with Christmas toys and presents_]\n\nThe Spirit dropped beneath it, so that the extinguisher covered its\nwhole form; but though Scrooge pressed it down with all his force, he\ncould not hide the light, which streamed from under it, in an unbroken\nflood upon the ground.\n\nHe was conscious of being exhausted, and overcome by an irresistible\ndrowsiness; and, further, of being in his own bedroom. He gave the cap a\nparting squeeze, in which his hand relaxed; and had barely time to reel\nto bed, before he sank into a heavy sleep.\n\n[Illustration]\n\n\nSTAVE THREE\n\n\n[Illustration]\n\n\n\n\nTHE SECOND OF THE THREE SPIRITS\n\n\nAwaking in the middle of a prodigiously tough snore, and sitting up in\nbed to get his thoughts together, Scrooge had no occasion to be told\nthat the bell was again upon the stroke of One. He felt that he was\nrestored to consciousness in the right nick of time, for the especial\npurpose of holding a conference with the second messenger despatched to\nhim through Jacob Marley's intervention. But finding that he turned\nuncomfortably cold when he began to wonder which of his curtains this\nnew spectre would draw back, he put them every one aside with his own\nhands, and, lying down again, established a sharp look-out all round the\nbed. For he wished to challenge the Spirit on the moment of its\nappearance, and did not wish to be taken by surprise and made nervous.\n\nGentlemen of the free-and-easy sort, who plume themselves on being\nacquainted with a move or two, and being usually equal to the time of\nday, express the wide range of their capacity for adventure by observing\nthat they are good for anything from pitch-and-toss to manslaughter;\nbetween which opposite extremes, no doubt, there lies a tolerably wide\nand comprehensive range of subjects. Without venturing for Scrooge quite\nas hardily as this, I don't mind calling on you to believe that he was\nready for a good broad field of strange appearances, and that nothing\nbetween a baby and a rhinoceros would have astonished him very much.\n\nNow, being prepared for almost anything, he was not by any means\nprepared for nothing; and consequently, when the bell struck One, and no\nshape appeared, he was taken with a violent fit of trembling. Five", - "chunk_order_index": 17, - "full_doc_id": "doc-addb4618e1697da0445ec72a648e1f92" - }, - "chunk-843b5b2f944c7413d9ca876e2e2f151f": { - "tokens": 1200, - "content": "uring for Scrooge quite\nas hardily as this, I don't mind calling on you to believe that he was\nready for a good broad field of strange appearances, and that nothing\nbetween a baby and a rhinoceros would have astonished him very much.\n\nNow, being prepared for almost anything, he was not by any means\nprepared for nothing; and consequently, when the bell struck One, and no\nshape appeared, he was taken with a violent fit of trembling. Five\nminutes, ten minutes, a quarter of an hour went by, yet nothing came.\nAll this time he lay upon his bed, the very core and centre of a blaze\nof ruddy light, which streamed upon it when the clock proclaimed the\nhour; and which, being only light, was more alarming than a dozen\nghosts, as he was powerless to make out what it meant, or would be at;\nand was sometimes apprehensive that he might be at that very moment an\ninteresting case of spontaneous combustion, without having the\nconsolation of knowing it. At last, however, he began to think--as you\nor I would have thought at first; for it is always the person not in the\npredicament who knows what ought to have been done in it, and would\nunquestionably have done it too--at last, I say, he began to think that\nthe source and secret of this ghostly light might be in the adjoining\nroom, from whence, on further tracing it, it seemed to shine. This idea\ntaking full possession of his mind, he got up softly, and shuffled in\nhis slippers to the door.\n\nThe moment Scrooge's hand was on the lock a strange voice called him by\nhis name, and bade him enter. He obeyed.\n\nIt was his own room. There was no doubt about that. But it had undergone\na surprising transformation. The walls and ceiling were so hung with\nliving green, that it looked a perfect grove; from every part of which\nbright gleaming berries glistened. The crisp leaves of holly, mistletoe,\nand ivy reflected back the light, as if so many little mirrors had been\nscattered there; and such a mighty blaze went roaring up the chimney as\nthat dull petrification of a hearth had never known in Scrooge's time,\nor Marley's, or for many and many a winter season gone. Heaped up on the\nfloor, to form a kind of throne, were turkeys, geese, game, poultry,\nbrawn, great joints of meat, sucking-pigs, long wreaths of sausages,\nmince-pies, plum-puddings, barrels of oysters, red-hot chestnuts,\ncherry-cheeked apples, juicy oranges, luscious pears, immense\ntwelfth-cakes, and seething bowls of punch, that made the chamber dim\nwith their delicious steam. In easy state upon this couch there sat a\njolly Giant, glorious to see; who bore a glowing torch, in shape not\nunlike Plenty's horn, and held it up, high up, to shed its light on\nScrooge as he came peeping round the door.\n\n'Come in!' exclaimed the Ghost. 'Come in! and know me better, man!'\n\nScrooge entered timidly, and hung his head before this Spirit. He was\nnot the dogged Scrooge he had been; and though the Spirit's eyes were\nclear and kind, he did not like to meet them.\n\n'I am the Ghost of Christmas Present,' said the Spirit. 'Look upon me!'\n\nScrooge reverently did so. It was clothed in one simple deep green robe,\nor mantle, bordered with white fur. This garment hung so loosely on the\nfigure, that its capacious breast was bare, as if disdaining to be\nwarded or concealed by any artifice. Its feet, observable beneath the\nample folds of the garment, were also bare; and on its head it wore no\nother covering than a holly wreath, set here and there with shining\nicicles. Its dark-brown curls were long and free; free as its genial\nface, its sparkling eye, its open hand, its cheery voice, its\nunconstrained demeanour, and its joyful air. Girded round its middle was\nan antique scabbard: but no sword was in it, and the ancient sheath was\neaten up with rust.\n\n'You have never seen the like of me before!' exclaimed the Spirit.\n\n'Never,' Scrooge made answer to it.\n\n'Have never walked forth with the younger members of my family; meaning\n(for I am very young) my elder brothers born in these later years?'\npursued the Phantom.\n\n'I don't think I have,' said Scrooge. 'I am afraid I have not. Have you\nhad many brothers, Spirit?'\n\n'More than eighteen hundred,' said the Ghost.\n\n'A tremendous family to provide for,' muttered Scrooge.\n\nThe Ghost of Christmas Present rose.\n\n'Spirit,' said Scrooge submissively, 'conduct me where you will. I went\nforth last night on compulsion, and I learned a lesson which is working\nnow. To-night if you have aught to teach me, let me profit by it.'\n\n'Touch my robe!'\n\nScrooge did as he was told, and held it fast.\n\nHolly, mistletoe, red berries, ivy, turkeys, geese, game, poultry,\nbrawn, meat, pigs, sausages, oysters, pies, puddings, fruit, and punch,\nall vanished instantly. So did the room, the fire, the ruddy glow, the\nhour of night, and they stood in the city", - "chunk_order_index": 18, - "full_doc_id": "doc-addb4618e1697da0445ec72a648e1f92" - }, - "chunk-99b0ec7f7e006561352b5d65e849611d": { - "tokens": 1200, - "content": ", let me profit by it.'\n\n'Touch my robe!'\n\nScrooge did as he was told, and held it fast.\n\nHolly, mistletoe, red berries, ivy, turkeys, geese, game, poultry,\nbrawn, meat, pigs, sausages, oysters, pies, puddings, fruit, and punch,\nall vanished instantly. So did the room, the fire, the ruddy glow, the\nhour of night, and they stood in the city streets on Christmas morning,\nwhere (for the weather was severe) the people made a rough, but brisk\nand not unpleasant kind of music, in scraping the snow from the pavement\nin front of their dwellings, and from the tops of their houses, whence\nit was mad delight to the boys to see it come plumping down into the\nroad below, and splitting into artificial little snowstorms.\n\nThe house-fronts looked black enough, and the windows blacker,\ncontrasting with the smooth white sheet of snow upon the roofs, and with\nthe dirtier snow upon the ground; which last deposit had been ploughed\nup in deep furrows by the heavy wheels of carts and waggons: furrows\nthat crossed and recrossed each other hundreds of times where the great\nstreets branched off; and made intricate channels, hard to trace in the\nthick yellow mud and icy water. The sky was gloomy, and the shortest\nstreets were choked up with a dingy mist, half thawed, half frozen,\nwhose heavier particles descended in a shower of sooty atoms, as if all\nthe chimneys in Great Britain had, by one consent, caught fire, and were\nblazing away to their dear heart's content. There was nothing very\ncheerful in the climate or the town, and yet was there an air of\ncheerfulness abroad that the clearest summer air and brightest summer\nsun might have endeavoured to diffuse in vain.\n\n[Illustration: THERE WAS NOTHING VERY CHEERFUL IN THE CLIMATE]\n\nFor the people who were shovelling away on the house-tops were jovial\nand full of glee; calling out to one another from the parapets, and now\nand then exchanging a facetious snowball--better-natured missile far\nthan many a wordy jest--laughing heartily if it went right, and not less\nheartily if it went wrong. The poulterers' shops were still half open,\nand the fruiterers' were radiant in their glory. There were great,\nround, pot-bellied baskets of chestnuts, shaped like the waistcoats of\njolly old gentlemen, lolling at the doors, and tumbling out into the\nstreet in their apoplectic opulence: There were ruddy, brown-faced,\nbroad-girthed Spanish onions, shining in the fatness of their growth\nlike Spanish friars, and winking from their shelves in wanton slyness at\nthe girls as they went by, and glanced demurely at the hung-up\nmistletoe. There were pears and apples clustered high in blooming\npyramids; there were bunches of grapes, made, in the shopkeepers'\nbenevolence, to dangle from conspicuous hooks that people's mouths might\nwater gratis as they passed; there were piles of filberts, mossy and\nbrown, recalling, in their fragrance, ancient walks among the woods, and\npleasant shufflings ankle deep through withered leaves; there were\nNorfolk Biffins, squab and swarthy, setting off the yellow of the\noranges and lemons, and, in the great compactness of their juicy\npersons, urgently entreating and beseeching to be carried home in paper\nbags and eaten after dinner. The very gold and silver fish, set forth\namong these choice fruits in a bowl, though members of a dull and\nstagnant-blooded race, appeared to know that there was something going\non; and, to a fish, went gasping round and round their little world in\nslow and passionless excitement.\n\nThe Grocers'! oh, the Grocers'! nearly closed, with perhaps two shutters\ndown, or one; but through those gaps such glimpses! It was not alone\nthat the scales descending on the counter made a merry sound, or that\nthe twine and roller parted company so briskly, or that the canisters\nwere rattled up and down like juggling tricks, or even that the blended\nscents of tea and coffee were so grateful to the nose, or even that the\nraisins were so plentiful and rare, the almonds so extremely white, the\nsticks of cinnamon so long and straight, the other spices so delicious,\nthe candied fruits so caked and spotted with molten sugar as to make the\ncoldest lookers-on feel faint, and subsequently bilious. Nor was it that\nthe figs were moist and pulpy, or that the French plums blushed in\nmodest tartness from their highly-decorated boxes, or that everything\nwas good to eat and in its Christmas dress; but the customers were all\nso hurried and so eager in the hopeful promise of the day, that they\ntumbled up against each other at the door, crashing their wicker baskets\nwildly, and left their purchases upon the counter, and came running\nback to fetch them, and committed hundreds of the like mistakes, in the\nbest humour possible; while the grocer and his people were so frank and\nfresh, that the polished hearts with which they fastened their aprons\nbehind might have been their own, worn outside for general inspection,\nand for Christmas daws to peck at if they chose.\n\nBut soon", - "chunk_order_index": 19, - "full_doc_id": "doc-addb4618e1697da0445ec72a648e1f92" - }, - "chunk-b0f459f5af1c3a5e0b92cbe4ee48b77b": { - "tokens": 1200, - "content": "other at the door, crashing their wicker baskets\nwildly, and left their purchases upon the counter, and came running\nback to fetch them, and committed hundreds of the like mistakes, in the\nbest humour possible; while the grocer and his people were so frank and\nfresh, that the polished hearts with which they fastened their aprons\nbehind might have been their own, worn outside for general inspection,\nand for Christmas daws to peck at if they chose.\n\nBut soon the steeples called good people all to church and chapel, and\naway they came, flocking through the streets in their best clothes and\nwith their gayest faces. And at the same time there emerged, from scores\nof by-streets, lanes, and nameless turnings, innumerable people,\ncarrying their dinners to the bakers' shops. The sight of these poor\nrevellers appeared to interest the Spirit very much, for he stood with\nScrooge beside him in a baker's doorway, and, taking off the covers as\ntheir bearers passed, sprinkled incense on their dinners from his torch.\nAnd it was a very uncommon kind of torch, for once or twice, when there\nwere angry words between some dinner-carriers who had jostled each\nother, he shed a few drops of water on them from it, and their\ngood-humour was restored directly. For they said, it was a shame to\nquarrel upon Christmas Day. And so it was! God love it, so it was!\n\nIn time the bells ceased, and the bakers were shut up; and yet there was\na genial shadowing forth of all these dinners, and the progress of their\ncooking, in the thawed blotch of wet above each baker's oven, where the\npavement smoked as if its stones were cooking too.\n\n'Is there a peculiar flavour in what you sprinkle from your torch?'\nasked Scrooge.\n\n'There is. My own.'\n\n'Would it apply to any kind of dinner on this day?' asked Scrooge.\n\n'To any kindly given. To a poor one most.'\n\n'Why to a poor one most?' asked Scrooge.\n\n'Because it needs it most.'\n\n'Spirit!' said Scrooge, after a moment's thought, 'I wonder you, of all\nthe beings in the many worlds about us, should desire to cramp these\npeople's opportunities of innocent enjoyment.\n\n'I!' cried the Spirit.\n\n'You would deprive them of their means of dining every seventh day,\noften the only day on which they can be said to dine at all,' said\nScrooge; 'wouldn't you?'\n\n'I!' cried the Spirit.\n\n'You seek to close these places on the Seventh Day,' said Scrooge. 'And\nit comes to the same thing.'\n\n'I seek!' exclaimed the Spirit.\n\n'Forgive me if I am wrong. It has been done in your name, or at least in\nthat of your family,' said Scrooge.\n\n'There are some upon this earth of yours,' returned the Spirit, 'who\nlay claim to know us, and who do their deeds of passion, pride,\nill-will, hatred, envy, bigotry, and selfishness in our name, who are as\nstrange to us, and all our kith and kin, as if they had never lived.\nRemember that, and charge their doings on themselves, not us.'\n\nScrooge promised that he would; and they went on, invisible, as they had\nbeen before, into the suburbs of the town. It was a remarkable quality\nof the Ghost (which Scrooge had observed at the baker's), that\nnotwithstanding his gigantic size, he could accommodate himself to any\nplace with ease; and that he stood beneath a low roof quite as\ngracefully and like a supernatural creature as it was possible he could\nhave done in any lofty hall.\n\nAnd perhaps it was the pleasure the good Spirit had in showing off this\npower of his, or else it was his own kind, generous, hearty nature, and\nhis sympathy with all poor men, that led him straight to Scrooge's\nclerk's; for there he went, and took Scrooge with him, holding to his\nrobe; and on the threshold of the door the Spirit smiled, and stopped to\nbless Bob Cratchit's dwelling with the sprinklings of his torch. Think\nof that! Bob had but fifteen 'Bob' a week himself; he pocketed on\nSaturdays but fifteen copies of his Christian name; and yet the Ghost of\nChristmas Present blessed his four-roomed house!\n\nThen up rose Mrs. Cratchit, Cratchit's wife, dressed out but poorly in a\ntwice-turned gown, but brave in ribbons, which are cheap, and make a\ngoodly show for sixpence; and she laid the cloth, assisted by Belinda\nCratchit, second of her daughters, also brave in ribbons; while Master\nPeter Cratchit plunged a fork into the saucepan of potatoes, and getting\nthe corners of his monstrous shirt-collar (Bob's private property,\nconferred upon his son and heir in honour of the day,) into his mouth,\nrejoiced to find himself so gallantly attired, and yearned to show his\nlinen in the fashionable Parks. And now two smaller Cratchits, boy and\ngirl, came tearing in, screaming that outside the baker's they had smelt\nthe goose, and known it for their own; and basking in luxurious thoughts\nof sage and onion, these young Cratchits danced about the table, and\nexalted Master Peter Cratchit to the skies, while he (not proud,\nalthough his collars nearly", - "chunk_order_index": 20, - "full_doc_id": "doc-addb4618e1697da0445ec72a648e1f92" - }, - "chunk-7e2e7ebcc19a53b399dc03aded4743e7": { - "tokens": 1200, - "content": "antly attired, and yearned to show his\nlinen in the fashionable Parks. And now two smaller Cratchits, boy and\ngirl, came tearing in, screaming that outside the baker's they had smelt\nthe goose, and known it for their own; and basking in luxurious thoughts\nof sage and onion, these young Cratchits danced about the table, and\nexalted Master Peter Cratchit to the skies, while he (not proud,\nalthough his collars nearly choked him) blew the fire, until the slow\npotatoes, bubbling up, knocked loudly at the saucepan-lid to be let out\nand peeled.\n\n'What has ever got your precious father, then?' said Mrs. Cratchit. 'And\nyour brother, Tiny Tim? And Martha warn't as late last Christmas Day by\nhalf an hour!'\n\n'Here's Martha, mother!' said a girl, appearing as she spoke.\n\n'Here's Martha, mother!' cried the two young Cratchits. 'Hurrah! There's\n_such_ a goose, Martha!'\n\n'Why, bless your heart alive, my dear, how late you are!' said Mrs.\nCratchit, kissing her a dozen times, and taking off her shawl and bonnet\nfor her with officious zeal.\n\n'We'd a deal of work to finish up last night,' replied the girl, 'and\nhad to clear away this morning, mother!'\n\n'Well! never mind so long as you are come,' said Mrs. Cratchit. 'Sit ye\ndown before the fire, my dear, and have a warm, Lord bless ye!'\n\n'No, no! There's father coming,' cried the two young Cratchits, who were\neverywhere at once. 'Hide, Martha, hide!'\n\nSo Martha hid herself, and in came little Bob, the father, with at least\nthree feet of comforter, exclusive of the fringe, hanging down before\nhim, and his threadbare clothes darned up and brushed to look\nseasonable, and Tiny Tim upon his shoulder. Alas for Tiny Tim, he bore a\nlittle crutch, and had his limbs supported by an iron frame!\n\n'Why, where's our Martha?' cried Bob Cratchit, looking round.\n\n'Not coming,' said Mrs. Cratchit.\n\n'Not coming!' said Bob, with a sudden declension in his high spirits;\nfor he had been Tim's blood-horse all the way from church, and had come\nhome rampant. 'Not coming upon Christmas Day!'\n\nMartha didn't like to see him disappointed, if it were only in joke; so\nshe came out prematurely from behind the closet door, and ran into his\narms, while the two young Cratchits hustled Tiny Tim, and bore him off\ninto the wash-house, that he might hear the pudding singing in the\ncopper.\n\n'And how did little Tim behave?' asked Mrs. Cratchit when she had\nrallied Bob on his credulity, and Bob had hugged his daughter to his\nheart's content.\n\n'As good as gold,' said Bob, 'and better. Somehow, he gets thoughtful,\nsitting by himself so much, and thinks the strangest things you ever\nheard. He told me, coming home, that he hoped the people saw him in the\nchurch, because he was a cripple, and it might be pleasant to them to\nremember upon Christmas Day who made lame beggars walk and blind men\nsee.'\n\nBob's voice was tremulous when he told them this, and trembled more when\nhe said that Tiny Tim was growing strong and hearty.\n\nHis active little crutch was heard upon the floor, and back came Tiny\nTim before another word was spoken, escorted by his brother and\nsister to his stool beside the fire; and while Bob, turning up his\ncuffs--as if, poor fellow, they were capable of being made more\nshabby--compounded some hot mixture in a jug with gin and lemons, and\nstirred it round and round, and put it on the hob to simmer, Master\nPeter and the two ubiquitous young Cratchits went to fetch the goose,\nwith which they soon returned in high procession.\n\n[Illustration]\n\nSuch a bustle ensued that you might have thought a goose the rarest of\nall birds; a feathered phenomenon, to which a black swan was a matter of\ncourse--and, in truth, it was something very like it in that house. Mrs.\nCratchit made the gravy (ready beforehand in a little saucepan) hissing\nhot; Master Peter mashed the potatoes with incredible vigour; Miss\nBelinda sweetened up the apple sauce; Martha dusted the hot plates; Bob\ntook Tiny Tim beside him in a tiny corner at the table; the two young\nCratchits set chairs for everybody, not forgetting themselves, and,\nmounting guard upon their posts, crammed spoons into their mouths, lest\nthey should shriek for goose before their turn came to be helped. At\nlast the dishes were set on, and grace was said. It was succeeded by a\nbreathless pause, as Mrs. Cratchit, looking slowly all along the\ncarving-knife, prepared to plunge it in the breast; but when she did,\nand when the long-expected gush of stuffing issued forth, one murmur of\ndelight arose all round the board, and even Tiny Tim, excited by the two\nyoung Cratchits, beat on the table with the handle of his knife and\nfeebly cried Hurrah!\n\n[Illustration: HE HAD BEEN TIM'S BLOOD-HORSE ALL THE WAY FROM CHURCH]\n\nThere never was such a goose. Bob said he didn't believe there ever was\nsuch", - "chunk_order_index": 21, - "full_doc_id": "doc-addb4618e1697da0445ec72a648e1f92" - }, - "chunk-503f0bfa5453467c7c61d160a3540eca": { - "tokens": 1200, - "content": "she did,\nand when the long-expected gush of stuffing issued forth, one murmur of\ndelight arose all round the board, and even Tiny Tim, excited by the two\nyoung Cratchits, beat on the table with the handle of his knife and\nfeebly cried Hurrah!\n\n[Illustration: HE HAD BEEN TIM'S BLOOD-HORSE ALL THE WAY FROM CHURCH]\n\nThere never was such a goose. Bob said he didn't believe there ever was\nsuch a goose cooked. Its tenderness and flavour, size and cheapness,\nwere the themes of universal admiration. Eked out by apple sauce and\nmashed potatoes, it was a sufficient dinner for the whole family;\nindeed, as Mrs. Cratchit said with great delight (surveying one small\natom of a bone upon the dish), they hadn't ate it all at last! Yet every\none had had enough, and the youngest Cratchits, in particular, were\nsteeped in sage and onion to the eyebrows! But now, the plates being\nchanged by Miss Belinda, Mrs. Cratchit left the room alone--too nervous\nto bear witnesses--to take the pudding up, and bring it in.\n\nSuppose it should not be done enough! Suppose it should break in turning\nout! Suppose somebody should have got over the wall of the back-yard and\nstolen it, while they were merry with the goose--a supposition at which\nthe two young Cratchits became livid! All sorts of horrors were\nsupposed.\n\nHallo! A great deal of steam! The pudding was out of the copper. A smell\nlike a washing-day! That was the cloth. A smell like an eating-house and\na pastry-cook's next door to each other, with a laundress's next door to\nthat! That was the pudding! In half a minute Mrs. Cratchit\nentered--flushed, but smiling proudly--with the pudding, like a speckled\ncannon-ball, so hard and firm, blazing in half of half-a-quartern of\nignited brandy, and bedight with Christmas holly stuck into the top.\n\nOh, a wonderful pudding! Bob Cratchit said, and calmly too, that he\nregarded it as the greatest success achieved by Mrs. Cratchit since\ntheir marriage. Mrs. Cratchit said that, now the weight was off her\nmind, she would confess she had her doubts about the quantity of flour.\nEverybody had something to say about it, but nobody said or thought it\nwas at all a small pudding for a large family. It would have been flat\nheresy to do so. Any Cratchit would have blushed to hint at such a\nthing.\n\n[Illustration: WITH THE PUDDING]\n\nAt last the dinner was all done, the cloth was cleared, the hearth\nswept, and the fire made up. The compound in the jug being tasted and\nconsidered perfect, apples and oranges were put upon the table, and a\nshovel full of chestnuts on the fire. Then all the Cratchit family\ndrew round the hearth in what Bob Cratchit called a circle, meaning half\na one; and at Bob Cratchit's elbow stood the family display of glass.\nTwo tumblers and a custard cup without a handle.\n\nThese held the hot stuff from the jug, however, as well as golden\ngoblets would have done; and Bob served it out with beaming looks, while\nthe chestnuts on the fire sputtered and cracked noisily. Then Bob\nproposed:\n\n'A merry Christmas to us all, my dears. God bless us!'\n\nWhich all the family re-echoed.\n\n'God bless us every one!' said Tiny Tim, the last of all.\n\nHe sat very close to his father's side, upon his little stool. Bob held\nhis withered little hand to his, as if he loved the child, and wished to\nkeep him by his side, and dreaded that he might be taken from him.\n\n'Spirit,' said Scrooge, with an interest he had never felt before, 'tell\nme if Tiny Tim will live.'\n\n'I see a vacant seat,' replied the Ghost, 'in the poor chimney corner,\nand a crutch without an owner, carefully preserved. If these shadows\nremain unaltered by the Future, the child will die.'\n\n'No, no,' said Scrooge. 'Oh no, kind Spirit! say he will be spared.'\n\n'If these shadows remain unaltered by the Future none other of my race,'\nreturned the Ghost, 'will find him here. What then? If he be like to\ndie, he had better do it, and decrease the surplus population.'\n\nScrooge hung his head to hear his own words quoted by the Spirit, and\nwas overcome with penitence and grief.\n\n'Man,' said the Ghost, 'if man you be in heart, not adamant, forbear\nthat wicked cant until you have discovered what the surplus is, and\nwhere it is. Will you decide what men shall live, what men shall die? It\nmay be that, in the sight of Heaven, you are more worthless and less fit\nto live than millions like this poor man's child. O God! to hear the\ninsect on the leaf pronouncing on the too much life among his hungry\nbrothers in the dust!'\n\nScrooge bent before the Ghost's rebuke, and, trembling, cast his eyes\nupon the ground. But he raised them speedily on hearing his own name.\n\n'Mr. Scrooge!' said Bob. 'I'll give you Mr. Scrooge, the Founder of the\nFeast!'\n\n'The Founder of the Feast", - "chunk_order_index": 22, - "full_doc_id": "doc-addb4618e1697da0445ec72a648e1f92" - }, - "chunk-19d72c57ae3408758b18d2568e86dc6b": { - "tokens": 1200, - "content": "O God! to hear the\ninsect on the leaf pronouncing on the too much life among his hungry\nbrothers in the dust!'\n\nScrooge bent before the Ghost's rebuke, and, trembling, cast his eyes\nupon the ground. But he raised them speedily on hearing his own name.\n\n'Mr. Scrooge!' said Bob. 'I'll give you Mr. Scrooge, the Founder of the\nFeast!'\n\n'The Founder of the Feast, indeed!' cried Mrs. Cratchit, reddening. 'I\nwish I had him here. I'd give him a piece of my mind to feast upon, and\nI hope he'd have a good appetite for it.'\n\n'My dear,' said Bob, 'the children! Christmas Day.'\n\n'It should be Christmas Day, I am sure,' said she, 'on which one drinks\nthe health of such an odious, stingy, hard, unfeeling man as Mr.\nScrooge. You know he is, Robert! Nobody knows it better than you do,\npoor fellow!'\n\n'My dear!' was Bob's mild answer. 'Christmas Day.'\n\n'I'll drink his health for your sake and the Day's,' said Mrs. Cratchit,\n'not for his. Long life to him! A merry Christmas and a happy New Year!\nHe'll be very merry and very happy, I have no doubt!'\n\nThe children drank the toast after her. It was the first of their\nproceedings which had no heartiness in it. Tiny Tim drank it last of\nall, but he didn't care twopence for it. Scrooge was the Ogre of the\nfamily. The mention of his name cast a dark shadow on the party, which\nwas not dispelled for full five minutes.\n\nAfter it had passed away they were ten times merrier than before, from\nthe mere relief of Scrooge the Baleful being done with. Bob Cratchit\ntold them how he had a situation in his eye for Master Peter, which\nwould bring in, if obtained, full five-and-sixpence weekly. The two\nyoung Cratchits laughed tremendously at the idea of Peter's being a man\nof business; and Peter himself looked thoughtfully at the fire from\nbetween his collars, as if he were deliberating what particular\ninvestments he should favour when he came into the receipt of that\nbewildering income. Martha, who was a poor apprentice at a milliner's,\nthen told them what kind of work she had to do, and how many hours she\nworked at a stretch and how she meant to lie abed to-morrow morning for\na good long rest; to-morrow being a holiday she passed at home. Also how\nshe had seen a countess and a lord some days before, and how the lord\n'was much about as tall as Peter'; at which Peter pulled up his collar\nso high that you couldn't have seen his head if you had been there. All\nthis time the chestnuts and the jug went round and round; and by-and-by\nthey had a song, about a lost child travelling in the snow, from Tiny\nTim, who had a plaintive little voice, and sang it very well indeed.\n\nThere was nothing of high mark in this. They were not a handsome family;\nthey were not well dressed; their shoes were far from being waterproof;\ntheir clothes were scanty; and Peter might have known, and very likely\ndid, the inside of a pawnbroker's. But they were happy, grateful,\npleased with one another, and contented with the time; and when they\nfaded, and looked happier yet in the bright sprinklings of the Spirit's\ntorch at parting, Scrooge had his eye upon them, and especially on Tiny\nTim, until the last.\n\nBy this time it was getting dark, and snowing pretty heavily; and as\nScrooge and the Spirit went along the streets, the brightness of the\nroaring fires in kitchens, parlours, and all sorts of rooms was\nwonderful. Here, the flickering of the blaze showed preparations for a\ncosy dinner, with hot plates baking through and through before the fire,\nand deep red curtains, ready to be drawn to shut out cold and darkness.\nThere, all the children of the house were running out into the snow to\nmeet their married sisters, brothers, cousins, uncles, aunts, and be the\nfirst to greet them. Here, again, were shadows on the window-blinds of\nguests assembling; and there a group of handsome girls, all hooded and\nfur-booted, and all chattering at once, tripped lightly off to some near\nneighbour's house; where, woe upon the single man who saw them\nenter--artful witches, well they knew it--in a glow!\n\nBut, if you had judged from the numbers of people on their way to\nfriendly gatherings, you might have thought that no one was at home to\ngive them welcome when they got there, instead of every house expecting\ncompany, and piling up its fires half-chimney high. Blessings on it, how\nthe Ghost exulted! How it bared its breadth of breast, and opened its\ncapacious palm, and floated on, outpouring with a generous hand its\nbright and harmless mirth on everything within its reach! The very\nlamplighter, who ran on before, dotting the dusky street with specks of\nlight, and who was dressed to spend the evening somewhere, laughed out\nloudly as the Spirit passed, though little kenned the lamplighter that\nhe had any company but Christmas.\n\nAnd now, without a word of warning from", - "chunk_order_index": 23, - "full_doc_id": "doc-addb4618e1697da0445ec72a648e1f92" - }, - "chunk-91614df5cb74cbe5e109a338a82041e9": { - "tokens": 1200, - "content": "capacious palm, and floated on, outpouring with a generous hand its\nbright and harmless mirth on everything within its reach! The very\nlamplighter, who ran on before, dotting the dusky street with specks of\nlight, and who was dressed to spend the evening somewhere, laughed out\nloudly as the Spirit passed, though little kenned the lamplighter that\nhe had any company but Christmas.\n\nAnd now, without a word of warning from the Ghost, they stood upon a\nbleak and desert moor, where monstrous masses of rude stone were cast\nabout, as though it were the burial-place of giants; and water spread\nitself wheresoever it listed; or would have done so, but for the frost\nthat held it prisoner; and nothing grew but moss and furze, and coarse,\nrank grass. Down in the west the setting sun had left a streak of fiery\nred, which glared upon the desolation for an instant, like a sullen eye,\nand frowning lower, lower, lower yet, was lost in the thick gloom of\ndarkest night.\n\n'What place is this?' asked Scrooge.\n\n'A place where miners live, who labour in the bowels of the earth,'\nreturned the Spirit. 'But they know me. See!'\n\nA light shone from the window of a hut, and swiftly they advanced\ntowards it. Passing through the wall of mud and stone, they found a\ncheerful company assembled round a glowing fire. An old, old man and\nwoman, with their children and their children's children, and another\ngeneration beyond that, all decked out gaily in their holiday attire.\nThe old man, in a voice that seldom rose above the howling of the wind\nupon the barren waste, was singing them a Christmas song; it had been a\nvery old song when he was a boy; and from time to time they all joined\nin the chorus. So surely as they raised their voices, the old man got\nquite blithe and loud; and so surely as they stopped, his vigour sank\nagain.\n\nThe Spirit did not tarry here, but bade Scrooge hold his robe, and,\npassing on above the moor, sped whither? Not to sea? To sea. To\nScrooge's horror, looking back, he saw the last of the land, a frightful\nrange of rocks, behind them; and his ears were deafened by the\nthundering of water, as it rolled and roared, and raged among the\ndreadful caverns it had worn, and fiercely tried to undermine the earth.\n\nBuilt upon a dismal reef of sunken rocks, some league or so from shore,\non which the waters chafed and dashed, the wild year through, there\nstood a solitary lighthouse. Great heaps of seaweed clung to its base,\nand storm-birds--born of the wind, one might suppose, as seaweed of the\nwater--rose and fell about it, like the waves they skimmed.\n\nBut, even here, two men who watched the light had made a fire, that\nthrough the loophole in the thick stone wall shed out a ray of\nbrightness on the awful sea. Joining their horny hands over the rough\ntable at which they sat, they wished each other Merry Christmas in their\ncan of grog; and one of them--the elder too, with his face all damaged\nand scarred with hard weather, as the figure-head of an old ship might\nbe--struck up a sturdy song that was like a gale in itself.\n\nAgain the Ghost sped on, above the black and heaving sea--on, on--until\nbeing far away, as he told Scrooge, from any shore, they lighted on a\nship. They stood beside the helmsman at the wheel, the look-out in the\nbow, the officers who had the watch; dark, ghostly figures in their\nseveral stations; but every man among them hummed a Christmas tune, or\nhad a Christmas thought, or spoke below his breath to his companion of\nsome bygone Christmas Day, with homeward hopes belonging to it. And\nevery man on board, waking or sleeping, good or bad, had had a kinder\nword for one another on that day than on any day in the year; and had\nshared to some extent in its festivities; and had remembered those he\ncared for at a distance, and had known that they delighted to remember\nhim.\n\nIt was a great surprise to Scrooge, while listening to the moaning of\nthe wind, and thinking what a solemn thing it was to move on through the\nlonely darkness over an unknown abyss, whose depths were secrets as\nprofound as death: it was a great surprise to Scrooge, while thus\nengaged, to hear a hearty laugh. It was a much greater surprise to\nScrooge to recognise it as his own nephew's and to find himself in a\nbright, dry, gleaming room, with the Spirit standing smiling by his\nside, and looking at that same nephew with approving affability!\n\n'Ha, ha!' laughed Scrooge's nephew. 'Ha, ha, ha!'\n\nIf you should happen, by any unlikely chance, to know a man more blessed\nin a laugh than Scrooge's nephew, all I can say is, I should like to\nknow him too. Introduce him to me, and I'll cultivate his acquaintance.\n\nIt is a fair, even-handed, noble adjustment of things, that while there\nis infection in disease and sorrow, there is nothing in the world so\nirresistibly contagious as laughter and good-humour.", - "chunk_order_index": 24, - "full_doc_id": "doc-addb4618e1697da0445ec72a648e1f92" - }, - "chunk-773d0df1dd25c356f7b771d780583e09": { - "tokens": 1200, - "content": "'\n\nIf you should happen, by any unlikely chance, to know a man more blessed\nin a laugh than Scrooge's nephew, all I can say is, I should like to\nknow him too. Introduce him to me, and I'll cultivate his acquaintance.\n\nIt is a fair, even-handed, noble adjustment of things, that while there\nis infection in disease and sorrow, there is nothing in the world so\nirresistibly contagious as laughter and good-humour. When Scrooge's\nnephew laughed in this way--holding his sides, rolling his head, and\ntwisting his face into the most extravagant contortions--Scrooge's\nniece, by marriage, laughed as heartily as he. And their assembled\nfriends, being not a bit behindhand, roared out lustily.\n\n'Ha, ha! Ha, ha, ha, ha!'\n\n'He said that Christmas was a humbug, as I live!' cried Scrooge's\nnephew. 'He believed it, too!'\n\n'More shame for him, Fred!' said Scrooge's niece indignantly. Bless\nthose women! they never do anything by halves. They are always in\nearnest.\n\nShe was very pretty; exceedingly pretty. With a dimpled,\nsurprised-looking, capital face; a ripe little mouth, that seemed made\nto be kissed--as no doubt it was; all kinds of good little dots about\nher chin, that melted into one another when she laughed; and the\nsunniest pair of eyes you ever saw in any little creature's head.\nAltogether she was what you would have called provoking, you know; but\nsatisfactory, too. Oh, perfectly satisfactory!\n\n'He's a comical old fellow,' said Scrooge's nephew, 'that's the truth;\nand not so pleasant as he might be. However, his offences carry their\nown punishment, and I have nothing to say against him.'\n\n'I'm sure he is very rich, Fred,' hinted Scrooge's niece. 'At least, you\nalways tell _me_ so.'\n\n'What of that, my dear?' said Scrooge's nephew. 'His wealth is of no use\nto him. He don't do any good with it. He don't make himself comfortable\nwith it. He hasn't the satisfaction of thinking--ha, ha, ha!--that he is\never going to benefit Us with it.'\n\n'I have no patience with him,' observed Scrooge's niece. Scrooge's\nniece's sisters, and all the other ladies, expressed the same opinion.\n\n'Oh, I have!' said Scrooge's nephew. 'I am sorry for him; I couldn't be\nangry with him if I tried. Who suffers by his ill whims? Himself always.\nHere he takes it into his head to dislike us, and he won't come and dine\nwith us. What's the consequence? He don't lose much of a dinner.'\n\n'Indeed, I think he loses a very good dinner,' interrupted Scrooge's\nniece. Everybody else said the same, and they must be allowed to have\nbeen competent judges, because they had just had dinner; and with the\ndessert upon the table, were clustered round the fire, by lamplight.\n\n'Well! I am very glad to hear it,' said Scrooge's nephew, 'because I\nhaven't any great faith in these young housekeepers. What do _you_ say,\nTopper?'\n\nTopper had clearly got his eye upon one of Scrooge's niece's sisters,\nfor he answered that a bachelor was a wretched outcast, who had no right\nto express an opinion on the subject. Whereat Scrooge's niece's\nsister--the plump one with the lace tucker: not the one with the\nroses--blushed.\n\n'Do go on, Fred,' said Scrooge's niece, clapping her hands. 'He never\nfinishes what he begins to say! He is such a ridiculous fellow!'\n\nScrooge's nephew revelled in another laugh, and as it was impossible to\nkeep the infection off, though the plump sister tried hard to do it with\naromatic vinegar, his example was unanimously followed.\n\n'I was only going to say,' said Scrooge's nephew, 'that the consequence\nof his taking a dislike to us, and not making merry with us, is, as I\nthink, that he loses some pleasant moments, which could do him no harm.\nI am sure he loses pleasanter companions than he can find in his own\nthoughts, either in his mouldy old office or his dusty chambers. I mean\nto give him the same chance every year, whether he likes it or not, for\nI pity him. He may rail at Christmas till he dies, but he can't help\nthinking better of it--I defy him--if he finds me going there, in good\ntemper, year after year, and saying, \"Uncle Scrooge, how are you?\" If it\nonly put him in the vein to leave his poor clerk fifty pounds, _that's_\nsomething; and I think I shook him yesterday.'\n\nIt was their turn to laugh now, at the notion of his shaking Scrooge.\nBut being thoroughly good-natured, and not much caring what they laughed\nat, so that they laughed at any rate, he encouraged them in their\nmerriment, and passed the bottle, joyously.\n\nAfter tea they had some music. For they were a musical family, and knew\nwhat they were about when they sung a Glee or Catch, I can assure you:\nespecially Topper, who could growl away in the bass like a good one", - "chunk_order_index": 25, - "full_doc_id": "doc-addb4618e1697da0445ec72a648e1f92" - }, - "chunk-43c9bee23adfa77aa9dedd22401bba7d": { - "tokens": 1200, - "content": "shaking Scrooge.\nBut being thoroughly good-natured, and not much caring what they laughed\nat, so that they laughed at any rate, he encouraged them in their\nmerriment, and passed the bottle, joyously.\n\nAfter tea they had some music. For they were a musical family, and knew\nwhat they were about when they sung a Glee or Catch, I can assure you:\nespecially Topper, who could growl away in the bass like a good one, and\nnever swell the large veins in his forehead, or get red in the face over\nit. Scrooge's niece played well upon the harp; and played, among other\ntunes, a simple little air (a mere nothing: you might learn to whistle\nit in two minutes) which had been familiar to the child who fetched\nScrooge from the boarding-school, as he had been reminded by the Ghost\nof Christmas Past. When this strain of music sounded, all the things\nthat Ghost had shown him came upon his mind; he softened more and more;\nand thought that if he could have listened to it often, years ago, he\nmight have cultivated the kindnesses of life for his own happiness with\nhis own hands, without resorting to the sexton's spade that buried Jacob\nMarley.\n\n[Illustration: _The way he went after that plump sister in the lace\ntucker!_]\n\nBut they didn't devote the whole evening to music. After a while they\nplayed at forfeits; for it is good to be children sometimes, and never\nbetter than at Christmas, when its mighty Founder was a child himself.\nStop! There was first a game at blind man's-buff. Of course there was.\nAnd I no more believe Topper was really blind than I believe he had eyes\nin his boots. My opinion is, that it was a done thing between him and\nScrooge's nephew; and that the Ghost of Christmas Present knew it. The\nway he went after that plump sister in the lace tucker was an outrage on\nthe credulity of human nature. Knocking down the fire-irons, tumbling\nover the chairs, bumping up against the piano, smothering himself\namongst the curtains, wherever she went, there went he! He always knew\nwhere the plump sister was. He wouldn't catch anybody else. If you had\nfallen up against him (as some of them did) on purpose, he would have\nmade a feint of endeavouring to seize you, which would have been an\naffront to your understanding, and would instantly have sidled off in\nthe direction of the plump sister. She often cried out that it wasn't\nfair; and it really was not. But when, at last, he caught her; when, in\nspite of all her silken rustlings, and her rapid flutterings past him,\nhe got her into a corner whence there was no escape; then his conduct\nwas the most execrable. For his pretending not to know her; his\npretending that it was necessary to touch her head-dress, and further to\nassure himself of her identity by pressing a certain ring upon her\nfinger, and a certain chain about her neck; was vile, monstrous! No\ndoubt she told him her opinion of it when, another blind man being in\noffice, they were so very confidential together behind the curtains.\n\nScrooge's niece was not one of the blind man's-buff party, but was made\ncomfortable with a large chair and a footstool, in a snug corner where\nthe Ghost and Scrooge were close behind her. But she joined in the\nforfeits, and loved her love to admiration with all the letters of the\nalphabet. Likewise at the game of How, When, and Where, she was very\ngreat, and, to the secret joy of Scrooge's nephew, beat her sisters\nhollow; though they were sharp girls too, as Topper could have told you.\nThere might have been twenty people there, young and old, but they all\nplayed, and so did Scrooge; for wholly forgetting, in the interest he\nhad in what was going on, that his voice made no sound in their ears, he\nsometimes came out with his guess quite loud, and very often guessed\nright, too; for the sharpest needle, best Whitechapel, warranted not to\ncut in the eye, was not sharper than Scrooge, blunt as he took it in\nhis head to be.\n\nThe Ghost was greatly pleased to find him in this mood, and looked upon\nhim with such favour that he begged like a boy to be allowed to stay\nuntil the guests departed. But this the Spirit said could not be done.\n\n'Here is a new game,' said Scrooge. 'One half-hour, Spirit, only one!'\n\nIt was a game called Yes and No, where Scrooge's nephew had to think of\nsomething, and the rest must find out what, he only answering to their\nquestions yes or no, as the case was. The brisk fire of questioning to\nwhich he was exposed elicited from him that he was thinking of an\nanimal, a live animal, rather a disagreeable animal, a savage animal, an\nanimal that growled and grunted sometimes, and talked sometimes and\nlived in London, and walked about the streets, and wasn't made a show\nof, and wasn't led by anybody, and didn't live in a menagerie, and was\nnever killed in a market, and was not a horse, or an ass, or a cow, or a\nbull, or a tiger, or a dog, or a pig, or a cat, or", - "chunk_order_index": 26, - "full_doc_id": "doc-addb4618e1697da0445ec72a648e1f92" - }, - "chunk-e7637ff18c5ded77a68cce0a87883fad": { - "tokens": 1200, - "content": "animal, a savage animal, an\nanimal that growled and grunted sometimes, and talked sometimes and\nlived in London, and walked about the streets, and wasn't made a show\nof, and wasn't led by anybody, and didn't live in a menagerie, and was\nnever killed in a market, and was not a horse, or an ass, or a cow, or a\nbull, or a tiger, or a dog, or a pig, or a cat, or a bear. At every\nfresh question that was put to him, this nephew burst into a fresh roar\nof laughter; and was so inexpressibly tickled, that he was obliged to\nget up off the sofa and stamp. At last the plump sister, falling into a\nsimilar state, cried out:\n\n'I have found it out! I know what it is, Fred! I know what it is!'\n\n'What is it?' cried Fred.\n\n'It's your uncle Scro-o-o-o-oge.'\n\nWhich it certainly was. Admiration was the universal sentiment, though\nsome objected that the reply to 'Is it a bear?' ought to have been\n'Yes'; inasmuch as an answer in the negative was sufficient to have\ndiverted their thoughts from Mr. Scrooge, supposing they had ever had\nany tendency that way.\n\n'He has given us plenty of merriment, I am sure,' said Fred, 'and it\nwould be ungrateful not to drink his health. Here is a glass of mulled\nwine ready to our hand at the moment; and I say, \"Uncle Scrooge!\"'\n\n'Well! Uncle Scrooge!' they cried.\n\n'A merry Christmas and a happy New Year to the old man, whatever he is!'\nsaid Scrooge's nephew. 'He wouldn't take it from me, but may he have it,\nnevertheless. Uncle Scrooge!'\n\nUncle Scrooge had imperceptibly become so gay and light of heart, that\nhe would have pledged the unconscious company in return, and thanked\nthem in an inaudible speech, if the Ghost had given him time. But the\nwhole scene passed off in the breath of the last word spoken by his\nnephew; and he and the Spirit were again upon their travels.\n\nMuch they saw, and far they went, and many homes they visited, but\nalways with a happy end. The Spirit stood beside sick-beds, and they\nwere cheerful; on foreign lands, and they were close at home; by\nstruggling men, and they were patient in their greater hope; by poverty,\nand it was rich. In almshouse, hospital, and gaol, in misery's every\nrefuge, where vain man in his little brief authority had not made fast\nthe door, and barred the Spirit out, he left his blessing and taught\nScrooge his precepts.\n\nIt was a long night, if it were only a night; but Scrooge had his doubts\nof this, because the Christmas holidays appeared to be condensed into\nthe space of time they passed together. It was strange, too, that, while\nScrooge remained unaltered in his outward form, the Ghost grew older,\nclearly older. Scrooge had observed this change, but never spoke of it\nuntil they left a children's Twelfth-Night party, when, looking at the\nSpirit as they stood together in an open place, he noticed that its hair\nwas grey.\n\n'Are spirits' lives so short?' asked Scrooge.\n\n'My life upon this globe is very brief,' replied the Ghost. 'It ends\nto-night.'\n\n'To-night!' cried Scrooge.\n\n'To-night at midnight. Hark! The time is drawing near.'\n\nThe chimes were ringing the three-quarters past eleven at that moment.\n\n'Forgive me if I am not justified in what I ask,' said Scrooge, looking\nintently at the Spirit's robe, 'but I see something strange, and not\nbelonging to yourself, protruding from your skirts. Is it a foot or a\nclaw?'\n\n'It might be a claw, for the flesh there is upon it,' was the Spirit's\nsorrowful reply. 'Look here!'\n\nFrom the foldings of its robe it brought two children, wretched, abject,\nfrightful, hideous, miserable. They knelt down at its feet, and clung\nupon the outside of its garment.\n\n'O Man! look here! Look, look down here!' exclaimed the Ghost.\n\nThey were a boy and girl. Yellow, meagre, ragged, scowling, wolfish, but\nprostrate, too, in their humility. Where graceful youth should have\nfilled their features out, and touched them with its freshest tints, a\nstale and shrivelled hand, like that of age, had pinched and twisted\nthem, and pulled them into shreds. Where angels might have sat\nenthroned, devils lurked, and glared out menacing. No change, no\ndegradation, no perversion of humanity in any grade, through all the\nmysteries of wonderful creation, has monsters half so horrible and\ndread.\n\nScrooge started back, appalled. Having them shown to him in this way, he\ntried to say they were fine children, but the words choked themselves,\nrather than be parties to a lie of such enormous magnitude.\n\n'Spirit! are they yours?' Scrooge could say no more.\n\n'They are Man's,' said the Spirit, looking down upon them. 'And they\ncling to me, appealing from their fathers. This boy is Ignorance. This\ngirl is", - "chunk_order_index": 27, - "full_doc_id": "doc-addb4618e1697da0445ec72a648e1f92" - }, - "chunk-02baee20cc9463dbe08170a8e1043e32": { - "tokens": 1200, - "content": "oge started back, appalled. Having them shown to him in this way, he\ntried to say they were fine children, but the words choked themselves,\nrather than be parties to a lie of such enormous magnitude.\n\n'Spirit! are they yours?' Scrooge could say no more.\n\n'They are Man's,' said the Spirit, looking down upon them. 'And they\ncling to me, appealing from their fathers. This boy is Ignorance. This\ngirl is Want. Beware of them both, and all of their degree, but most of\nall beware this boy, for on his brow I see that written which is Doom,\nunless the writing be erased. Deny it!' cried the Spirit, stretching out\nhis hand towards the city. 'Slander those who tell it ye! Admit it for\nyour factious purposes, and make it worse! And bide the end!'\n\n'Have they no refuge or resource?' cried Scrooge.\n\n'Are there no prisons?' said the Spirit, turning on him for the last\ntime with his own words. 'Are there no workhouses?'\n\nThe bell struck Twelve.\n\nScrooge looked about him for the Ghost, and saw it not. As the last\nstroke ceased to vibrate, he remembered the prediction of old Jacob\nMarley, and, lifting up his eyes, beheld a solemn Phantom, draped and\nhooded, coming like a mist along the ground towards him.\n\n\nSTAVE FOUR\n\n\n\n\nTHE LAST OF THE SPIRITS\n\n\nThe Phantom slowly, gravely, silently approached. When it came near him,\nScrooge bent down upon his knee; for in the very air through which this\nSpirit moved it seemed to scatter gloom and mystery.\n\nIt was shrouded in a deep black garment, which concealed its head, its\nface, its form, and left nothing of it visible, save one outstretched\nhand. But for this, it would have been difficult to detach its figure\nfrom the night, and separate it from the darkness by which it was\nsurrounded.\n\nHe felt that it was tall and stately when it came beside him, and that\nits mysterious presence filled him with a solemn dread. He knew no more,\nfor the Spirit neither spoke nor moved.\n\n'I am in the presence of the Ghost of Christmas Yet to Come?' said\nScrooge.\n\nThe Spirit answered not, but pointed onward with its hand.\n\n'You are about to show me shadows of the things that have not happened,\nbut will happen in the time before us,' Scrooge pursued. 'Is that so,\nSpirit?'\n\nThe upper portion of the garment was contracted for an instant in its\nfolds, as if the Spirit had inclined its head. That was the only answer\nhe received.\n\nAlthough well used to ghostly company by this time, Scrooge feared the\nsilent shape so much that his legs trembled beneath him, and he found\nthat he could hardly stand when he prepared to follow it. The Spirit\npaused a moment, as observing his condition, and giving him time to\nrecover.\n\nBut Scrooge was all the worse for this. It thrilled him with a vague,\nuncertain horror to know that, behind the dusky shroud, there were\nghostly eyes intently fixed upon him, while he, though he stretched his\nown to the utmost, could see nothing but a spectral hand and one great\nheap of black.\n\n'Ghost of the Future!' he exclaimed, 'I fear you more than any spectre\nI have seen. But as I know your purpose is to do me good, and as I hope\nto live to be another man from what I was, I am prepared to bear your\ncompany, and do it with a thankful heart. Will you not speak to me?'\n\nIt gave him no reply. The hand was pointed straight before them.\n\n'Lead on!' said Scrooge. 'Lead on! The night is waning fast, and it is\nprecious time to me, I know. Lead on, Spirit!'\n\nThe Phantom moved away as it had come towards him. Scrooge followed in\nthe shadow of its dress, which bore him up, he thought, and carried him\nalong.\n\nThey scarcely seemed to enter the City; for the City rather seemed to\nspring up about them, and encompass them of its own act. But there they\nwere in the heart of it; on 'Change, amongst the merchants, who hurried\nup and down, and chinked the money in their pockets, and conversed in\ngroups, and looked at their watches, and trifled thoughtfully with their\ngreat gold seals, and so forth, as Scrooge had seen them often.\n\nThe Spirit stopped beside one little knot of business men. Observing\nthat the hand was pointed to them, Scrooge advanced to listen to their\ntalk.\n\n'No,' said a great fat man with a monstrous chin, 'I don't know much\nabout it either way. I only know he's dead.'\n\n'When did he die?' inquired another.\n\n'Last night, I believe.'\n\n'Why, what was the matter with him?' asked a third, taking a vast\nquantity of snuff out of a very large snuff-box. 'I thought he'd never\ndie.'\n\n'God knows,' said the first, with a yawn.\n\n'What has he done with his money?' asked a red-faced gentleman with a\npendulous excrescence on the end of his nose, that shook like the gills\nof a turkey-cock.\n\n'I haven't heard,' said the man with the large chin, yawning again.\n'Left it to his company, perhaps. He hasn't left it to _me_. That's all\nI know.'\n\nThis pleasantry was received with a general", - "chunk_order_index": 28, - "full_doc_id": "doc-addb4618e1697da0445ec72a648e1f92" - }, - "chunk-f1a4fbcf1ed86864b9bfd5e8dba4c683": { - "tokens": 1200, - "content": ",' said the first, with a yawn.\n\n'What has he done with his money?' asked a red-faced gentleman with a\npendulous excrescence on the end of his nose, that shook like the gills\nof a turkey-cock.\n\n'I haven't heard,' said the man with the large chin, yawning again.\n'Left it to his company, perhaps. He hasn't left it to _me_. That's all\nI know.'\n\nThis pleasantry was received with a general laugh.\n\n'It's likely to be a very cheap funeral,' said the same speaker; 'for,\nupon my life, I don't know of anybody to go to it. Suppose we make up a\nparty, and volunteer?'\n\n'I don't mind going if a lunch is provided,' observed the gentleman with\nthe excrescence on his nose. 'But I must be fed if I make one.'\n\nAnother laugh.\n\n[Illustration:\n\n _\"How are you?\" said one.\n \"How are you?\" returned the other.\n \"Well!\" said the first. \"Old Scratch has got his own at last, hey?\"_\n\n]\n\n'Well, I am the most disinterested among you, after all,' said the first\nspeaker, 'for I never wear black gloves, and I never eat lunch. But I'll\noffer to go if anybody else will. When I come to think of it, I'm not\nat all sure that I wasn't his most particular friend; for we used to\nstop and speak whenever we met. Bye, bye!'\n\nSpeakers and listeners strolled away, and mixed with other groups.\nScrooge knew the men, and looked towards the Spirit for an explanation.\n\nThe phantom glided on into a street. Its finger pointed to two persons\nmeeting. Scrooge listened again, thinking that the explanation might lie\nhere.\n\nHe knew these men, also, perfectly. They were men of business: very\nwealthy, and of great importance. He had made a point always of standing\nwell in their esteem in a business point of view, that is; strictly in a\nbusiness point of view.\n\n'How are you?' said one.\n\n'How are you?' returned the other.\n\n'Well!' said the first, 'old Scratch has got his own at last, hey?'\n\n'So I am told,' returned the second. 'Cold, isn't it?'\n\n'Seasonable for Christmas-time. You are not a skater, I suppose?'\n\n'No, no. Something else to think of. Good-morning!'\n\nNot another word. That was their meeting, their conversation, and their\nparting.\n\nScrooge was at first inclined to be surprised that the Spirit should\nattach importance to conversations apparently so trivial; but feeling\nassured that they must have some hidden purpose, he set himself to\nconsider what it was likely to be. They could scarcely be supposed to\nhave any bearing on the death of Jacob, his old partner, for that was\nPast, and this Ghost's province was the Future. Nor could he think of\nany one immediately connected with himself to whom he could apply them.\nBut nothing doubting that, to whomsoever they applied, they had some\nlatent moral for his own improvement, he resolved to treasure up every\nword he heard, and everything he saw; and especially to observe the\nshadow of himself when it appeared. For he had an expectation that the\nconduct of his future self would give him the clue he missed, and would\nrender the solution of these riddles easy.\n\nHe looked about in that very place for his own image, but another man\nstood in his accustomed corner; and though the clock pointed to his\nusual time of day for being there, he saw no likeness of himself among\nthe multitudes that poured in through the Porch. It gave him little\nsurprise, however; for he had been revolving in his mind a change of\nlife, and thought and hoped he saw his new-born resolutions carried out\nin this.\n\nQuiet and dark, beside him stood the Phantom, with its outstretched\nhand. When he roused himself from his thoughtful quest, he fancied,\nfrom the turn of the hand, and its situation in reference to himself,\nthat the Unseen Eyes were looking at him keenly. It made him shudder,\nand feel very cold.\n\nThey left the busy scene, and went into an obscure part of the town,\nwhere Scrooge had never penetrated before, although he recognised its\nsituation and its bad repute. The ways were foul and narrow; the shop\nand houses wretched; the people half naked, drunken, slipshod, ugly.\nAlleys and archways, like so many cesspools, disgorged their offences of\nsmell and dirt, and life upon the straggling streets; and the whole\nquarter reeked with crime, with filth, and misery.\n\nFar in this den of infamous resort, there was a low-browed, beetling\nshop, below a penthouse roof, where iron, old rags, bottles, bones, and\ngreasy offal were bought. Upon the floor within were piled up heaps of\nrusty keys, nails, chains, hinges, files, scales, weights, and refuse\niron of all kinds. Secrets that few would like to scrutinise were bred\nand hidden in mountains of unseemly rags, masses of corrupted fat, and\nsepulchres of bones. Sitting in among the wares he dealt in, by a\ncharcoal stove made of old bricks, was a grey-haired rascal, nearly\nseventy years of age, who had screened himself from the cold air without\nby a frouzy curtaining of miscellaneous tatters hung upon a line and\nsmoked his pipe in all", - "chunk_order_index": 29, - "full_doc_id": "doc-addb4618e1697da0445ec72a648e1f92" - }, - "chunk-60fc063c79fc0d4acc91a57e79de04dc": { - "tokens": 1200, - "content": "to scrutinise were bred\nand hidden in mountains of unseemly rags, masses of corrupted fat, and\nsepulchres of bones. Sitting in among the wares he dealt in, by a\ncharcoal stove made of old bricks, was a grey-haired rascal, nearly\nseventy years of age, who had screened himself from the cold air without\nby a frouzy curtaining of miscellaneous tatters hung upon a line and\nsmoked his pipe in all the luxury of calm retirement.\n\nScrooge and the Phantom came into the presence of this man, just as a\nwoman with a heavy bundle slunk into the shop. But she had scarcely\nentered, when another woman, similarly laden, came in too; and she was\nclosely followed by a man in faded black, who was no less startled by\nthe sight of them than they had been upon the recognition of each other.\nAfter a short period of blank astonishment, in which the old man with\nthe pipe had joined them, they all three burst into a laugh.\n\n'Let the charwoman alone to be the first!' cried she who had entered\nfirst. 'Let the laundress alone to be the second; and let the\nundertaker's man alone to be the third. Look here, old Joe, here's a\nchance! If we haven't all three met here without meaning it!'\n\n'You couldn't have met in a better place,' said old Joe, removing his\npipe from his mouth. 'Come into the parlour. You were made free of it\nlong ago, you know; and the other two an't strangers. Stop till I shut\nthe door of the shop. Ah! how it skreeks! There an't such a rusty bit of\nmetal in the place as its own hinges, I believe; and I'm sure there's no\nsuch old bones here as mine. Ha! ha! We're all suitable to our calling,\nwe're well matched. Come into the parlour. Come into the parlour.'\n\nThe parlour was the space behind the screen of rags. The old man raked\nthe fire together with an old stair-rod, and having trimmed his smoky\nlamp (for it was night) with the stem of his pipe, put it into his mouth\nagain.\n\nWhile he did this, the woman who had already spoken threw her bundle on\nthe floor, and sat down in a flaunting manner on a stool, crossing her\nelbows on her knees, and looking with a bold defiance at the other two.\n\n'What odds, then? What odds, Mrs. Dilber?' said the woman. 'Every person\nhas a right to take care of themselves. _He_ always did!'\n\n'That's true, indeed!' said the laundress. 'No man more so.'\n\n'Why, then, don't stand staring as if you was afraid, woman! Who's the\nwiser? We're not going to pick holes in each other's coats, I suppose?'\n\n'No, indeed!' said Mrs. Dilber and the man together. 'We should hope\nnot.'\n\n'Very well then!' cried the woman. 'That's enough. Who's the worse for\nthe loss of a few things like these? Not a dead man, I suppose?'\n\n'No, indeed,' said Mrs. Dilber, laughing.\n\n'If he wanted to keep 'em after he was dead, a wicked old screw,'\npursued the woman, 'why wasn't he natural in his lifetime? If he had\nbeen, he'd have had somebody to look after him when he was struck with\nDeath, instead of lying gasping out his last there, alone by himself.'\n\n'It's the truest word that ever was spoke,' said Mrs. Dilber. 'It's a\njudgment on him.'\n\n'I wish it was a little heavier judgment,' replied the woman: 'and it\nshould have been, you may depend upon it, if I could have laid my hands\non anything else. Open that bundle, old Joe, and let me know the value\nof it. Speak out plain. I'm not afraid to be the first, nor afraid for\nthem to see it. We knew pretty well that we were helping ourselves\nbefore we met here, I believe. It's no sin. Open the bundle, Joe.'\n\nBut the gallantry of her friends would not allow of this; and the man in\nfaded black, mounting the breach first, produced _his_ plunder. It was\nnot extensive. A seal or two, a pencil-case, a pair of sleeve-buttons,\nand a brooch of no great value, were all. They were severally examined\nand appraised by old Joe, who chalked the sums he was disposed to give\nfor each upon the wall, and added them up into a total when he found\nthat there was nothing more to come.\n\n'That's your account,' said Joe, 'and I wouldn't give another sixpence,\nif I was to be boiled for not doing it. Who's next?'\n\n\n[Illustration: _\"What do you call this?\" said Joe. \"Bed-curtains.\"_]\n\nMrs. Dilber was next. Sheets and towels, a little wearing apparel, two\nold fashioned silver teaspoons, a pair of sugar-tongs, and a few\nboots. Her account was stated on the wall in the same manner.\n\n'I always give too much to ladies. It's a weakness of mine, and that's\nthe way I ruin myself,' said old Joe. 'That's your account. If you asked\nme for another penny, and made it an open question, I'd repent of being\nso liberal, and knock off half-a-crown.'\n\n'And now undo _my_ bundle, Joe,' said the first woman.\n\nJoe went down on his knees for the", - "chunk_order_index": 30, - "full_doc_id": "doc-addb4618e1697da0445ec72a648e1f92" - }, - "chunk-e1f29eeadc1d8ab46dc8a0bbd3c56b64": { - "tokens": 1200, - "content": "Her account was stated on the wall in the same manner.\n\n'I always give too much to ladies. It's a weakness of mine, and that's\nthe way I ruin myself,' said old Joe. 'That's your account. If you asked\nme for another penny, and made it an open question, I'd repent of being\nso liberal, and knock off half-a-crown.'\n\n'And now undo _my_ bundle, Joe,' said the first woman.\n\nJoe went down on his knees for the greater convenience of opening it,\nand, having unfastened a great many knots, dragged out a large heavy\nroll of some dark stuff.\n\n'What do you call this?' said Joe. 'Bed-curtains?'\n\n'Ah!' returned the woman, laughing and leaning forward on her crossed\narms. 'Bed-curtains!'\n\n'You don't mean to say you took 'em down, rings and all, with him lying\nthere?' said Joe.\n\n'Yes, I do,' replied the woman. 'Why not?'\n\n'You were born to make your fortune,' said Joe, 'and you'll certainly do\nit.'\n\n'I certainly shan't hold my hand, when I can get anything in it by\nreaching it out, for the sake of such a man as he was, I promise you,\nJoe,' returned the woman coolly. 'Don't drop that oil upon the blankets,\nnow.'\n\n'His blankets?' asked Joe.\n\n'Whose else's do you think?' replied the woman. 'He isn't likely to take\ncold without 'em, I dare say.'\n\n'I hope he didn't die of anything catching? Eh?' said old Joe, stopping\nin his work, and looking up.\n\n'Don't you be afraid of that,' returned the woman. 'I an't so fond of\nhis company that I'd loiter about him for such things, if he did. Ah!\nyou may look through that shirt till your eyes ache, but you won't find\na hole in it, nor a threadbare place. It's the best he had, and a fine\none too. They'd have wasted it, if it hadn't been for me.'\n\n'What do you call wasting of it?' asked old Joe.\n\n'Putting it on him to be buried in, to be sure,' replied the woman, with\na laugh. 'Somebody was fool enough to do it, but I took it off again. If\ncalico an't good enough for such a purpose, it isn't good enough for\nanything. It's quite as becoming to the body. He can't look uglier than\nhe did in that one.'\n\nScrooge listened to this dialogue in horror. As they sat grouped about\ntheir spoil, in the scanty light afforded by the old man's lamp, he\nviewed them with a detestation and disgust which could hardly have been\ngreater, though they had been obscene demons marketing the corpse\nitself.\n\n'Ha, ha!' laughed the same woman when old Joe producing a flannel bag\nwith money in it, told out their several gains upon the ground. 'This\nis the end of it, you see! He frightened every one away from him when he\nwas alive, to profit us when he was dead! Ha, ha, ha!'\n\n'Spirit!' said Scrooge, shuddering from head to foot. 'I see, I see. The\ncase of this unhappy man might be my own. My life tends that way now.\nMerciful heaven, what is this?'\n\nHe recoiled in terror, for the scene had changed, and now he almost\ntouched a bed--a bare, uncurtained bed--on which, beneath a ragged\nsheet, there lay a something covered up, which, though it was dumb,\nannounced itself in awful language.\n\nThe room was very dark, too dark to be observed with any accuracy,\nthough Scrooge glanced round it in obedience to a secret impulse,\nanxious to know what kind of room it was. A pale light, rising in the\nouter air, fell straight upon the bed; and on it, plundered and bereft,\nunwatched, unwept, uncared for, was the body of this man.\n\nScrooge glanced towards the Phantom. Its steady hand was pointed to the\nhead. The cover was so carelessly adjusted that the slightest raising of\nit, the motion of a finger upon Scrooge's part, would have disclosed the\nface. He thought of it, felt how easy it would be to do, and longed to\ndo it; but he had no more power to withdraw the veil than to dismiss the\nspectre at his side.\n\nOh, cold, cold, rigid, dreadful Death, set up thine altar here, and\ndress it with such terrors as thou hast at thy command; for this is thy\ndominion! But of the loved, revered, and honoured head thou canst not\nturn one hair to thy dread purposes, or make one feature odious. It is\nnot that the hand is heavy, and will fall down when released; it is not\nthat the heart and pulse are still; but that the hand was open,\ngenerous, and true; the heart brave, warm, and tender, and the pulse a\nman's. Strike, Shadow, strike! And see his good deeds springing from the\nwound, to sow the world with life immortal!\n\nNo voice pronounced these words in Scrooge's ears, and yet he heard them\nwhen he looked upon the bed. He thought, if this man could be raised up\nnow, what would be his foremost thoughts? Avarice, hard dealing, griping\ncares? They have brought him to a rich end, truly!\n\nHe lay in the dark, empty house, with not", - "chunk_order_index": 31, - "full_doc_id": "doc-addb4618e1697da0445ec72a648e1f92" - }, - "chunk-83ac129dc9b56f84c46760d153d68e93": { - "tokens": 1200, - "content": "see his good deeds springing from the\nwound, to sow the world with life immortal!\n\nNo voice pronounced these words in Scrooge's ears, and yet he heard them\nwhen he looked upon the bed. He thought, if this man could be raised up\nnow, what would be his foremost thoughts? Avarice, hard dealing, griping\ncares? They have brought him to a rich end, truly!\n\nHe lay in the dark, empty house, with not a man, a woman, or a child to\nsay he was kind to me in this or that, and for the memory of one kind\nword I will be kind to him. A cat was tearing at the door, and there was\na sound of gnawing rats beneath the hearthstone. What _they_ wanted in\nthe room of death, and why they were so restless and disturbed, Scrooge\ndid not dare to think.\n\n'Spirit!' he said, 'this is a fearful place. In leaving it, I shall not\nleave its lesson, trust me. Let us go!'\n\nStill the Ghost pointed with an unmoved finger to the head.\n\n'I understand you,' Scrooge returned, 'and I would do it if I could. But\nI have not the power, Spirit. I have not the power.'\n\nAgain it seemed to look upon him.\n\n'If there is any person in the town who feels emotion caused by this\nman's death,' said Scrooge, quite agonised, 'show that person to me,\nSpirit, I beseech you!'\n\nThe Phantom spread its dark robe before him for a moment, like a wing;\nand, withdrawing it, revealed a room by daylight, where a mother and her\nchildren were.\n\nShe was expecting some one, and with anxious eagerness; for she walked\nup and down the room, started at every sound, looked out from the\nwindow, glanced at the clock, tried, but in vain, to work with her\nneedle, and could hardly bear the voices of her children in their play.\n\nAt length the long-expected knock was heard. She hurried to the door,\nand met her husband; a man whose face was careworn and depressed, though\nhe was young. There was a remarkable expression in it now, a kind of\nserious delight of which he felt ashamed, and which he struggled to\nrepress.\n\nHe sat down to the dinner that had been hoarding for him by the fire,\nand when she asked him faintly what news (which was not until after a\nlong silence), he appeared embarrassed how to answer.\n\n'Is it good,' she said, 'or bad?' to help him.\n\n'Bad,' he answered.\n\n'We are quite ruined?'\n\n'No. There is hope yet, Caroline.'\n\n'If _he_ relents,' she said, amazed, 'there is! Nothing is past hope, if\nsuch a miracle has happened.'\n\n'He is past relenting,' said her husband. 'He is dead.'\n\nShe was a mild and patient creature, if her face spoke truth; but she\nwas thankful in her soul to hear it, and she said so with clasped hands.\nShe prayed forgiveness the next moment, and was sorry; but the first was\nthe emotion of her heart.\n\n'What the half-drunken woman, whom I told you of last night, said to me\nwhen I tried to see him and obtain a week's delay--and what I thought\nwas a mere excuse to avoid me--turns out to have been quite true. He was\nnot only very ill, but dying, then.'\n\n'To whom will our debt be transferred?'\n\n'I don't know. But, before that time, we shall be ready with the money;\nand even though we were not, it would be bad fortune indeed to find so\nmerciless a creditor in his successor. We may sleep to-night with light\nhearts, Caroline!'\n\nYes. Soften it as they would, their hearts were lighter. The children's\nfaces, hushed and clustered round to hear what they so little\nunderstood, were brighter; and it was a happier house for this man's\ndeath! The only emotion that the Ghost could show him, caused by the\nevent, was one of pleasure.\n\n'Let me see some tenderness connected with a death,' said Scrooge; 'or\nthat dark chamber, Spirit, which we left just now, will be for ever\npresent to me.'\n\nThe Ghost conducted him through several streets familiar to his feet;\nand as they went along, Scrooge looked here and there to find himself,\nbut nowhere was he to be seen. They entered poor Bob Cratchit's house;\nthe dwelling he had visited before; and found the mother and the\nchildren seated round the fire.\n\nQuiet. Very quiet. The noisy little Cratchits were as still as statues\nin one corner, and sat looking up at Peter, who had a book before him.\nThe mother and her daughters were engaged in sewing. But surely they\nwere very quiet!\n\n'\"And he took a child, and set him in the midst of them.\"'\n\nWhere had Scrooge heard those words? He had not dreamed them. The boy\nmust have read them out as he and the Spirit crossed the threshold. Why\ndid he not go on?\n\nThe mother laid her work upon the table, and put her hand up to her\nface.\n\n'The colour hurts my eyes,' she said.\n\nThe colour? Ah, poor Tiny Tim!\n\n'They're better now again,' said Cratchit's wife. 'It makes them weak by\ncandle-light; and I wouldn't show weak eyes to your father when he comes\nhome for the world. It must be near his time.'\n\n'Past it rather,' Peter answered, shutting up his", - "chunk_order_index": 32, - "full_doc_id": "doc-addb4618e1697da0445ec72a648e1f92" - }, - "chunk-1d4b58de5429cd1261370c231c8673e8": { - "tokens": 1200, - "content": "go on?\n\nThe mother laid her work upon the table, and put her hand up to her\nface.\n\n'The colour hurts my eyes,' she said.\n\nThe colour? Ah, poor Tiny Tim!\n\n'They're better now again,' said Cratchit's wife. 'It makes them weak by\ncandle-light; and I wouldn't show weak eyes to your father when he comes\nhome for the world. It must be near his time.'\n\n'Past it rather,' Peter answered, shutting up his book. 'But I think he\nhas walked a little slower than he used, these few last evenings,\nmother.'\n\nThey were very quiet again. At last she said, and in a steady, cheerful\nvoice, that only faltered once:\n\n'I have known him walk with--I have known him walk with Tiny Tim upon\nhis shoulder very fast indeed.'\n\n'And so have I,' cried Peter. 'Often.'\n\n'And so have I,' exclaimed another. So had all.\n\n'But he was very light to carry,' she resumed, intent upon her work,\n'and his father loved him so, that it was no trouble, no trouble. And\nthere is your father at the door!'\n\nShe hurried out to meet him; and little Bob in his comforter--he had\nneed of it, poor fellow--came in. His tea was ready for him on the hob,\nand they all tried who should help him to it most. Then the two young\nCratchits got upon his knees, and laid, each child, a little cheek\nagainst his face, as if they said, 'Don't mind it, father. Don't be\ngrieved!'\n\nBob was very cheerful with them, and spoke pleasantly to all the family.\nHe looked at the work upon the table, and praised the industry and speed\nof Mrs. Cratchit and the girls. They would be done long before Sunday,\nhe said.\n\n'Sunday! You went to-day, then, Robert?' said his wife.\n\n'Yes, my dear,' returned Bob. 'I wish you could have gone. It would have\ndone you good to see how green a place it is. But you'll see it often. I\npromised him that I would walk there on a Sunday. My little, little\nchild!' cried Bob. 'My little child!'\n\nHe broke down all at once. He couldn't help it. If he could have helped\nit, he and his child would have been farther apart, perhaps, than they\nwere.\n\nHe left the room, and went upstairs into the room above, which was\nlighted cheerfully, and hung with Christmas. There was a chair set close\nbeside the child, and there were signs of some one having been there\nlately. Poor Bob sat down in it, and when he had thought a little and\ncomposed himself, he kissed the little face. He was reconciled to what\nhad happened, and went down again quite happy.\n\nThey drew about the fire, and talked, the girls and mother working\nstill. Bob told them of the extraordinary kindness of Mr. Scrooge's\nnephew, whom he had scarcely seen but once, and who, meeting him in the\nstreet that day, and seeing that he looked a little--'just a little\ndown, you know,' said Bob, inquired what had happened to distress him.\n'On which,' said Bob, 'for he is the pleasantest-spoken gentleman you\never heard, I told him. \"I am heartily sorry for it, Mr. Cratchit,\" he\nsaid, \"and heartily sorry for your good wife.\" By-the-bye, how he ever\nknew _that_ I don't know.'\n\n'Knew what, my dear?'\n\n'Why, that you were a good wife,' replied Bob.\n\n'Everybody knows that,' said Peter.\n\n'Very well observed, my boy!' cried Bob. 'I hope they do. \"Heartily\nsorry,\" he said, \"for your good wife. If I can be of service to you in\nany way,\" he said, giving me his card, \"that's where I live. Pray come\nto me.\" Now, it wasn't,' cried Bob, 'for the sake of anything he might\nbe able to do for us, so much as for his kind way, that this was quite\ndelightful. It really seemed as if he had known our Tiny Tim, and felt\nwith us.'\n\n'I'm sure he's a good soul!' said Mrs. Cratchit.\n\n'You would be sure of it, my dear,' returned Bob, 'if you saw and spoke\nto him. I shouldn't be at all surprised--mark what I say!--if he got\nPeter a better situation.'\n\n'Only hear that, Peter,' said Mrs. Cratchit.\n\n'And then,' cried one of the girls, 'Peter will be keeping company with\nsome one, and setting up for himself.'\n\n'Get along with you!' retorted Peter, grinning.\n\n'It's just as likely as not,' said Bob, 'one of these days; though\nthere's plenty of time for that, my dear. But, however and whenever we\npart from one another, I am sure we shall none of us forget poor Tiny\nTim--shall we--or this first parting that there was among us?'\n\n'Never, father!' cried they all.\n\n'And I know,' said Bob, 'I know, my dears, that when we recollect how\npatient and how mild he was; although he was a little, little child; we\nshall not quarrel easily among ourselves, and forget poor Tiny Tim in\ndoing it.'\n\n'No, never, father!' they all cried again.\n\n'I am very happy,' said little Bob, 'I am very happy", - "chunk_order_index": 33, - "full_doc_id": "doc-addb4618e1697da0445ec72a648e1f92" - }, - "chunk-91572b3cd42786ba4cb2f180ca25cbf4": { - "tokens": 1200, - "content": "there was among us?'\n\n'Never, father!' cried they all.\n\n'And I know,' said Bob, 'I know, my dears, that when we recollect how\npatient and how mild he was; although he was a little, little child; we\nshall not quarrel easily among ourselves, and forget poor Tiny Tim in\ndoing it.'\n\n'No, never, father!' they all cried again.\n\n'I am very happy,' said little Bob, 'I am very happy!'\n\nMrs. Cratchit kissed him, his daughters kissed him, the two young\nCratchits kissed him, and Peter and himself shook hands. Spirit of Tiny\nTim, thy childish essence was from God!\n\n'Spectre,' said Scrooge, 'something informs me that our parting moment\nis at hand. I know it but I know not how. Tell me what man that was whom\nwe saw lying dead?'\n\nThe Ghost of Christmas Yet to Come conveyed him, as before--though at a\ndifferent time, he thought: indeed there seemed no order in these latter\nvisions, save that they were in the Future--into the resorts of business\nmen, but showed him not himself. Indeed, the Spirit did not stay for\nanything, but went straight on, as to the end just now desired, until\nbesought by Scrooge to tarry for a moment.\n\n'This court,' said Scrooge, 'through which we hurry now, is where my\nplace of occupation is, and has been for a length of time. I see the\nhouse. Let me behold what I shall be in days to come.'\n\nThe Spirit stopped; the hand was pointed elsewhere.\n\n'The house is yonder,' Scrooge exclaimed. 'Why do you point away?'\n\nThe inexorable finger underwent no change.\n\nScrooge hastened to the window of his office, and looked in. It was an\noffice still, but not his. The furniture was not the same, and the\nfigure in the chair was not himself. The Phantom pointed as before.\n\nHe joined it once again, and, wondering why and whither he had gone,\naccompanied it until they reached an iron gate. He paused to look round\nbefore entering.\n\nA churchyard. Here, then, the wretched man, whose name he had now to\nlearn, lay underneath the ground. It was a worthy place. Walled in by\nhouses; overrun by grass and weeds, the growth of vegetation's death,\nnot life; choked up with too much burying; fat with repleted appetite. A\nworthy place!\n\nThe Spirit stood among the graves, and pointed down to One. He advanced\ntowards it trembling. The Phantom was exactly as it had been, but he\ndreaded that he saw new meaning in its solemn shape.\n\n'Before I draw nearer to that stone to which you point,' said Scrooge,\n'answer me one question. Are these the shadows of the things that Will\nbe, or are they shadows of the things that May be only?'\n\nStill the Ghost pointed downward to the grave by which it stood.\n\n'Men's courses will foreshadow certain ends, to which, if persevered in,\nthey must lead,' said Scrooge. 'But if the courses be departed from, the\nends will change. Say it is thus with what you show me!'\n\nThe Spirit was immovable as ever.\n\nScrooge crept towards it, trembling as he went; and, following the\nfinger, read upon the stone of the neglected grave his own name,\nEBENEZER SCROOGE.\n\n'Am I that man who lay upon the bed?' he cried upon his knees.\n\nThe finger pointed from the grave to him, and back again.\n\n'No, Spirit! Oh no, no!'\n\nThe finger still was there.\n\n'Spirit!' he cried, tight clutching at its robe, 'hear me! I am not the\nman I was. I will not be the man I must have been but for this\nintercourse. Why show me this, if I am past all hope?'\n\nFor the first time the hand appeared to shake.\n\n'Good Spirit,' he pursued, as down upon the ground he fell before it,\n'your nature intercedes for me, and pities me. Assure me that I yet may\nchange these shadows you have shown me by an altered life?'\n\nThe kind hand trembled.\n\n'I will honour Christmas in my heart, and try to keep it all the year. I\nwill live in the Past, the Present, and the Future. The Spirits of all\nThree shall strive within me. I will not shut out the lessons that they\nteach. Oh, tell me I may sponge away the writing on this stone!'\n\nIn his agony he caught the spectral hand. It sought to free itself, but\nhe was strong in his entreaty, and detained it. The Spirit stronger yet,\nrepulsed him.\n\nHolding up his hands in a last prayer to have his fate reversed, he saw\nan alteration in the Phantom's hood and dress. It shrunk, collapsed, and\ndwindled down into a bedpost.\n\n\nSTAVE FIVE\n\n\n[Illustration]\n\n\n\n\nTHE END OF IT\n\n\nYes! and the bedpost was his own. The bed was his own, the room was his\nown. Best and happiest of all, the Time before him was his own, to make\namends in!\n\n'I will live in the Past, the Present, and the Future!' Scrooge repeated\nas he scrambled out of bed. 'The Spirits of all Three shall strive\nwithin me. O Jacob Marley! Heaven and the Christmas Time be praised for\nthis! I say it on my knees, old Jacob; on my knees!'", - "chunk_order_index": 34, - "full_doc_id": "doc-addb4618e1697da0445ec72a648e1f92" - }, - "chunk-90b95db5c53e4364a6bee36b7aa4d70f": { - "tokens": 1200, - "content": "was his own, the room was his\nown. Best and happiest of all, the Time before him was his own, to make\namends in!\n\n'I will live in the Past, the Present, and the Future!' Scrooge repeated\nas he scrambled out of bed. 'The Spirits of all Three shall strive\nwithin me. O Jacob Marley! Heaven and the Christmas Time be praised for\nthis! I say it on my knees, old Jacob; on my knees!'\n\nHe was so fluttered and so glowing with his good intentions, that his\nbroken voice would scarcely answer to his call. He had been sobbing\nviolently in his conflict with the Spirit, and his face was wet with\ntears.\n\n'They are not torn down,' cried Scrooge, folding one of his bed-curtains\nin his arms, 'They are not torn down, rings and all. They are here--I am\nhere--the shadows of the things that would have been may be dispelled.\nThey will be. I know they will!'\n\nHis hands were busy with his garments all this time: turning them inside\nout, putting them on upside down, tearing them, mislaying them, making\nthem parties to every kind of extravagance.\n\n'I don't know what to do!' cried Scrooge, laughing and crying in the\nsame breath, and making a perfect Laocoon of himself with his stockings.\n'I am as light as a feather, I am as happy as an angel, I am as merry as\na schoolboy, I am as giddy as a drunken man. A merry Christmas to\neverybody! A happy New Year to all the world! Hallo here! Whoop! Hallo!'\n\nHe had frisked into the sitting-room, and was now standing there,\nperfectly winded.\n\n'There's the saucepan that the gruel was in!' cried Scrooge, starting\noff again, and going round the fireplace. 'There's the door by which the\nGhost of Jacob Marley entered! There's the corner where the Ghost of\nChristmas Present sat! There's the window where I saw the wandering\nSpirits! It's all right, it's all true, it all happened. Ha, ha, ha!'\n\nReally, for a man who had been out of practice for so many years, it was\na splendid laugh, a most illustrious laugh. The father of a long, long\nline of brilliant laughs!\n\n'I don't know what day of the month it is,' said Scrooge. 'I don't know\nhow long I have been among the Spirits. I don't know anything. I'm quite\na baby. Never mind. I don't care. I'd rather be a baby. Hallo! Whoop!\nHallo here!'\n\nHe was checked in his transports by the churches ringing out the\nlustiest peals he had ever heard. Clash, clash, hammer; ding, dong,\nbell! Bell, dong, ding; hammer, clash, clash! Oh, glorious, glorious!\n\nRunning to the window, he opened it, and put out his head. No fog, no\nmist; clear, bright, jovial, stirring, cold; cold, piping for the blood\nto dance to; golden sunlight; heavenly sky; sweet fresh air; merry\nbells. Oh, glorious! Glorious!\n\n'What's to-day?' cried Scrooge, calling downward to a boy in Sunday\nclothes, who perhaps had loitered in to look about him.\n\n'EH?' returned the boy with all his might of wonder.\n\n'What's to-day, my fine fellow?' said Scrooge.\n\n'To-day!' replied the boy. 'Why, CHRISTMAS DAY.'\n\n'It's Christmas Day!' said Scrooge to himself. 'I haven't missed it. The\nSpirits have done it all in one night. They can do anything they like.\nOf course they can. Of course they can. Hallo, my fine fellow!'\n\n'Hallo!' returned the boy.\n\n'Do you know the poulterer's in the next street but one, at the corner?'\nScrooge inquired.\n\n'I should hope I did,' replied the lad.\n\n'An intelligent boy!' said Scrooge. 'A remarkable boy! Do you know\nwhether they've sold the prize turkey that was hanging up there?--Not\nthe little prize turkey: the big one?'\n\n'What! the one as big as me?' returned the boy.\n\n'What a delightful boy!' said Scrooge. 'It's a pleasure to talk to him.\nYes, my buck!'\n\n'It's hanging there now,' replied the boy.\n\n'Is it?' said Scrooge. 'Go and buy it.'\n\n'Walk-ER!' exclaimed the boy.\n\n'No, no,' said Scrooge. 'I am in earnest. Go and buy it, and tell 'em to\nbring it here, that I may give them the directions where to take it.\nCome back with the man, and I'll give you a shilling. Come back with him\nin less than five minutes, and I'll give you half-a-crown!'\n\nThe boy was off like a shot. He must have had a steady hand at a trigger\nwho could have got a shot off half as fast.\n\n'I'll send it to Bob Cratchit's,' whispered Scrooge, rubbing his hands,\nand splitting with a laugh. 'He shan't know who sends it. It's twice the\nsize of Tiny Tim. Joe Miller never made such a joke as sending it to\nBob's will be!'\n\nThe hand in which he wrote the address was not a steady one; but write\nit he did, somehow, and went downstairs to open the street-door, ready\nfor the coming of the poulterer's man. As he stood there, waiting his\narrival, the", - "chunk_order_index": 35, - "full_doc_id": "doc-addb4618e1697da0445ec72a648e1f92" - }, - "chunk-8f738cb25d60a7dab782162d9d0a25ed": { - "tokens": 1200, - "content": "hands,\nand splitting with a laugh. 'He shan't know who sends it. It's twice the\nsize of Tiny Tim. Joe Miller never made such a joke as sending it to\nBob's will be!'\n\nThe hand in which he wrote the address was not a steady one; but write\nit he did, somehow, and went downstairs to open the street-door, ready\nfor the coming of the poulterer's man. As he stood there, waiting his\narrival, the knocker caught his eye.\n\n'I shall love it as long as I live!' cried Scrooge, patting it with his\nhand. 'I scarcely ever looked at it before. What an honest expression it\nhas in its face! It's a wonderful knocker!--Here's the turkey. Hallo!\nWhoop! How are you! Merry Christmas!'\n\nIt _was_ a turkey! He never could have stood upon his legs, that bird.\nHe would have snapped 'em short off in a minute, like sticks of\nsealing-wax.\n\n'Why, it's impossible to carry that to Camden Town,' said Scrooge. 'You\nmust have a cab.'\n\nThe chuckle with which he said this, and the chuckle with which he paid\nfor the turkey, and the chuckle with which he paid for the cab, and the\nchuckle with which he recompensed the boy, were only to be exceeded by\nthe chuckle with which he sat down breathless in his chair again, and\nchuckled till he cried.\n\nShaving was not an easy task, for his hand continued to shake very much;\nand shaving requires attention, even when you don't dance while you are\nat it. But if he had cut the end of his nose off, he would have put a\npiece of sticking-plaster over it, and been quite satisfied.\n\nHe dressed himself 'all in his best,' and at last got out into the\nstreets. The people were by this time pouring forth, as he had seen them\nwith the Ghost of Christmas Present; and, walking with his hands behind\nhim, Scrooge regarded every one with a delighted smile. He looked so\nirresistibly pleasant, in a word, that three or four good-humoured\nfellows said, 'Good-morning, sir! A merry Christmas to you!' And Scrooge\nsaid often afterwards that, of all the blithe sounds he had ever heard,\nthose were the blithest in his ears.\n\nHe had not gone far when, coming on towards him, he beheld the portly\ngentleman who had walked into his counting-house the day before, and\nsaid, 'Scrooge and Marley's, I believe?' It sent a pang across his heart\nto think how this old gentleman would look upon him when they met; but\nhe knew what path lay straight before him, and he took it.\n\n'My dear sir,' said Scrooge, quickening his pace, and taking the old\ngentleman by both his hands, 'how do you do? I hope you succeeded\nyesterday. It was very kind of you. A merry Christmas to you, sir!'\n\n'Mr. Scrooge?'\n\n'Yes,' said Scrooge. 'That is my name, and I fear it may not be pleasant\nto you. Allow me to ask your pardon. And will you have the goodness----'\nHere Scrooge whispered in his ear.\n\n'Lord bless me!' cried the gentleman, as if his breath were taken away.\n'My dear Mr. Scrooge, are you serious?'\n\n'If you please,' said Scrooge. 'Not a farthing less. A great many\nback-payments are included in it, I assure you. Will you do me that\nfavour?'\n\n'My dear sir,' said the other, shaking hands with him, 'I don't know\nwhat to say to such munifi----'\n\n'Don't say anything, please,' retorted Scrooge. 'Come and see me. Will\nyou come and see me?'\n\n'I will!' cried the old gentleman. And it was clear he meant to do it.\n\n'Thankee,' said Scrooge. 'I am much obliged to you. I thank you fifty\ntimes. Bless you!'\n\nHe went to church, and walked about the streets, and watched the people\nhurrying to and fro, and patted the children on the head, and questioned\nbeggars, and looked down into the kitchens of houses, and up to the\nwindows; and found that everything could yield him pleasure. He had\nnever dreamed that any walk--that anything--could give him so much\nhappiness. In the afternoon he turned his steps towards his nephew's\nhouse.\n\nHe passed the door a dozen times before he had the courage to go up and\nknock. But he made a dash and did it.\n\n'Is your master at home, my dear?' said Scrooge to the girl. 'Nice girl!\nVery.'\n\n'Yes, sir.'\n\n'Where is he, my love?' said Scrooge.\n\n'He's in the dining-room, sir, along with mistress. I'll show you\nupstairs, if you please.'\n\n'Thankee. He knows me,' said Scrooge, with his hand already on the\ndining-room lock. 'I'll go in here, my dear.'\n\nHe turned it gently, and sidled his face in round the door. They were\nlooking at the table (which was spread out in great array); for these\nyoung housekeepers are always nervous on such points, and like to see\nthat everything is right.\n\n'Fred!' said Scrooge.\n\nDear heart alive, how his niece by marriage started! Scrooge had\nforgotten,", - "chunk_order_index": 36, - "full_doc_id": "doc-addb4618e1697da0445ec72a648e1f92" - }, - "chunk-94bea83e7153fc2064aa382b494936a1": { - "tokens": 1200, - "content": "hand already on the\ndining-room lock. 'I'll go in here, my dear.'\n\nHe turned it gently, and sidled his face in round the door. They were\nlooking at the table (which was spread out in great array); for these\nyoung housekeepers are always nervous on such points, and like to see\nthat everything is right.\n\n'Fred!' said Scrooge.\n\nDear heart alive, how his niece by marriage started! Scrooge had\nforgotten, for the moment, about her sitting in the corner with the\nfootstool, or he wouldn't have done it on any account.\n\n'Why, bless my soul!' cried Fred, 'who's that?'\n\n[Illustration: _\"It's I, your uncle Scrooge. I have come to dinner. Will\nyou let me in, Fred?\"_]\n\n'It's I. Your uncle Scrooge. I have come to dinner. Will you let me in,\nFred?'\n\nLet him in! It is a mercy he didn't shake his arm off. He was at home in\nfive minutes. Nothing could be heartier. His niece looked just the same.\nSo did Topper when _he_ came. So did the plump sister when _she_ came.\nSo did every one when _they_ came. Wonderful party, wonderful games,\nwonderful unanimity, won-der-ful happiness!\n\nBut he was early at the office next morning. Oh, he was early there! If\nhe could only be there first, and catch Bob Cratchit coming late! That\nwas the thing he had set his heart upon.\n\nAnd he did it; yes, he did! The clock struck nine. No Bob. A quarter\npast. No Bob. He was full eighteen minutes and a half behind his time.\nScrooge sat with his door wide open, that he might see him come into the\ntank.\n\nHis hat was off before he opened the door; his comforter too. He was on\nhis stool in a jiffy, driving away with his pen, as if he were trying to\novertake nine o'clock.\n\n'Hallo!' growled Scrooge in his accustomed voice as near as he could\nfeign it. 'What do you mean by coming here at this time of day?'\n\n'I am very sorry, sir,' said Bob. 'I _am_ behind my time.'\n\n'You are!' repeated Scrooge. 'Yes, I think you are. Step this way, sir,\nif you please.'\n\n'It's only once a year, sir,' pleaded Bob, appearing from the tank. 'It\nshall not be repeated. I was making rather merry yesterday, sir.'\n\n'Now, I'll tell you what, my friend,' said Scrooge. 'I am not going to\nstand this sort of thing any longer. And therefore,' he continued,\nleaping from his stool, and giving Bob such a dig in the waistcoat that\nhe staggered back into the tank again--'and therefore I am about to\nraise your salary!'\n\nBob trembled, and got a little nearer to the ruler. He had a momentary\nidea of knocking Scrooge down with it, holding him, and calling to the\npeople in the court for help and a strait-waistcoat.\n\n'A merry Christmas, Bob!' said Scrooge, with an earnestness that could\nnot be mistaken, as he clapped him on the back. 'A merrier Christmas,\nBob, my good fellow, than I have given you for many a year! I'll raise\nyour salary, and endeavour to assist your struggling family, and we will\ndiscuss your affairs this very afternoon, over a Christmas bowl of\nsmoking bishop, Bob! Make up the fires and buy another coal-scuttle\nbefore you dot another i, Bob Cratchit!'\n\n[Illustration: _\"Now, I'll tell you what, my friend,\" said Scrooge. \"I\nam not going to stand this sort of thing any longer.\"_]\n\nScrooge was better than his word. He did it all, and infinitely more;\nand to Tiny Tim, who did NOT die, he was a second father. He became as\ngood a friend, as good a master, and as good a man as the good old\nCity knew, or any other good old city, town, or borough in the good old\nworld. Some people laughed to see the alteration in him, but he let them\nlaugh, and little heeded them; for he was wise enough to know that\nnothing ever happened on this globe, for good, at which some people did\nnot have their fill of laughter in the outset; and knowing that such as\nthese would be blind anyway, he thought it quite as well that they\nshould wrinkle up their eyes in grins as have the malady in less\nattractive forms. His own heart laughed, and that was quite enough for\nhim.\n\nHe had no further intercourse with Spirits, but lived upon the\nTotal-Abstinence Principle ever afterwards; and it was always said of\nhim that he knew how to keep Christmas well, if any man alive possessed\nthe knowledge. May that be truly said of us, and all of us! And so, as\nTiny Tim observed, God bless Us, Every One!\n\n[Illustration]\n\n+---------------------------------------------------------------+\n|Transcriber's note: The Contents were added by the transcriber.|\n+---------------------------------------------------------------+\n\n\n\n\n\n\n\n*** END OF THE PROJECT GUTENBERG EBOOK A CHRISTMAS CAROL ***\n\n\n \n\nUpdated editions will replace the previous one—the old editions will\nbe renamed.\n\nCreating the works from print editions not protected by U.S. copyright\nlaw means that no one owns a United States copyright in these works,\nso the Foundation (and you", - "chunk_order_index": 37, - "full_doc_id": "doc-addb4618e1697da0445ec72a648e1f92" - }, - "chunk-194cd9680f4967f48bea89678f7ece21": { - "tokens": 1200, - "content": "One!\n\n[Illustration]\n\n+---------------------------------------------------------------+\n|Transcriber's note: The Contents were added by the transcriber.|\n+---------------------------------------------------------------+\n\n\n\n\n\n\n\n*** END OF THE PROJECT GUTENBERG EBOOK A CHRISTMAS CAROL ***\n\n\n \n\nUpdated editions will replace the previous one—the old editions will\nbe renamed.\n\nCreating the works from print editions not protected by U.S. copyright\nlaw means that no one owns a United States copyright in these works,\nso the Foundation (and you!) can copy and distribute it in the United\nStates without permission and without paying copyright\nroyalties. 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tiktoken_model_name = gpt-4o-mini, - entity_extract_max_gleaning = 1, - entity_summary_to_max_tokens = 500, - node_embedding_algorithm = node2vec, - node2vec_params = {'dimensions': 1536, 'num_walks': 10, 'walk_length': 40, 'window_size': 2, 'iterations': 3, 'random_seed': 3}, - embedding_func = {'embedding_dim': 1536, 'max_token_size': 8192, 'func': }, - embedding_batch_num = 32, - embedding_func_max_async = 16, - llm_model_func = , - llm_model_name = meta-llama/Llama-3.2-1B-Instruct, - llm_model_max_token_size = 32768, - llm_model_max_async = 16, - key_string_value_json_storage_cls = , - vector_db_storage_cls = , - vector_db_storage_cls_kwargs = {}, - graph_storage_cls = , - enable_llm_cache = True, - addon_params = {}, - convert_response_to_json_func = - -2024-10-30 05:08:05,827 - lightrag - INFO - Load KV full_docs with 0 data -2024-10-30 05:08:05,827 - lightrag - INFO - Load KV text_chunks with 0 data -2024-10-30 05:08:05,827 - lightrag - INFO - Load KV llm_response_cache with 0 data -2024-10-30 05:08:05,828 - lightrag - INFO - Creating a new event loop in a sub-thread. -2024-10-30 05:08:05,828 - lightrag - INFO - [New Docs] inserting 1 docs -2024-10-30 05:08:05,999 - lightrag - INFO - [New Chunks] inserting 42 chunks -2024-10-30 05:08:05,999 - lightrag - INFO - Inserting 42 vectors to chunks -2024-10-30 05:08:08,078 - lightrag - INFO - [Entity Extraction]... -2024-10-30 05:09:04,051 - lightrag - INFO - get_node:query:MATCH (n:`PROJECT GUTENBERG`) RETURN n:result:"Project Gutenberg is a digital library providing free access to a wide range of eBooks, primarily in the United States and other regions, under specific licensing terms.""Project Gutenberg is an organization dedicated to the free distribution of electronic works and the preservation of the cultural heritage by providing access to public domain literature."', 'source_id': 'chunk-194cd9680f4967f48bea89678f7ece21chunk-af4ae173c561e4594c5aea96198cce9dchunk-9e3921da66da5d761ab73cd849af6c43'}> -2024-10-30 05:09:04,409 - lightrag - INFO - _do_upsert:query: - MERGE (n:`PROJECT GUTENBERG`) - SET n += $properties - RETURN n - :result:{'entity_type': '"ORGANIZATION"', 'description': '"Project Gutenberg is a digital library offering free access to a vast array of eBooks, particularly those not protected by U.S. copyright law, allowing for worldwide distribution under specific conditions.""Project Gutenberg is a digital library offering free eBooks, allowing anyone to access literature in various formats without restrictions.""Project Gutenberg is a digital library providing free access to a wide range of eBooks, primarily in the United States and other regions, under specific licensing terms.""Project Gutenberg is an organization dedicated to the free distribution of electronic works and the preservation of the cultural heritage by providing access to public domain literature.""Project Gutenberg is an organization dedicated to the free distribution of electronic works, relying on volunteers and donations to maintain its collection.""Project Gutenberg is an organization that promotes the free distribution of electronic works and holds a compilation copyright for its collection.""Project Gutenberg is an organization that provides free eBooks, promoting accessibility to literature without restrictions."', 'source_id': 'chunk-194cd9680f4967f48bea89678f7ece21chunk-af4ae173c561e4594c5aea96198cce9dchunk-9e3921da66da5d761ab73cd849af6c43chunk-c51b3dc560b408cce12cdfe5c9c94f57'} -2024-10-30 05:09:04,957 - lightrag - INFO - get_node:query:MATCH (n:`A CHRISTMAS CAROL`) RETURN n:result: -2024-10-30 05:09:05,114 - lightrag - INFO - _do_upsert:query: - MERGE (n:`A CHRISTMAS CAROL`) - SET n += $properties - RETURN n - :result:{'entity_type': '"EVENT"', 'description': '"A Christmas Carol is a famous novella by Charles Dickens that tells the story of Ebenezer Scrooge\'s transformation and redemption, particularly around the Christmas season.""A Christmas Carol is a literary work available through Project Gutenberg, indicating its role in literature and public access.""A Christmas Carol is a novella by Charles Dickens that explores themes of redemption, compassion, and the spirit of Christmas, first published in 1843."', 'source_id': 'chunk-194cd9680f4967f48bea89678f7ece21chunk-9e3921da66da5d761ab73cd849af6c43'} -2024-10-30 05:09:05,271 - lightrag - INFO - get_node:query:MATCH (n:`CHARLES DICKENS`) RETURN n:result: -2024-10-30 05:09:05,422 - lightrag - INFO - _do_upsert:query: - MERGE (n:`CHARLES DICKENS`) - SET n += $properties - RETURN n - :result:{'entity_type': '"PERSON"', 'description': '"Charles Dickens is a renowned English writer and social critic, best known for his novels depicting Victorian society, including A Christmas Carol.""Charles Dickens is the author of A Christmas Carol, a prominent English writer known for his literary contributions in the 19th century."', 'source_id': 'chunk-9e3921da66da5d761ab73cd849af6c43'} -2024-10-30 05:09:05,578 - lightrag - INFO - get_node:query:MATCH (n:`ARTHUR RACKHAM`) RETURN n:result: -2024-10-30 05:09:05,735 - lightrag - INFO - _do_upsert:query: - MERGE (n:`ARTHUR RACKHAM`) - SET n += $properties - RETURN n - :result:{'entity_type': '"PERSON"', 'description': '"Arthur Rackham is the illustrator of A Christmas Carol, renowned for his distinctive style in illustrating classic literature.""Arthur Rackham was an English illustrator known for his imaginative and detailed illustrations for children\'s books, including A Christmas Carol."', 'source_id': 'chunk-9e3921da66da5d761ab73cd849af6c43'} -2024-10-30 05:09:05,896 - lightrag - INFO - get_node:query:MATCH (n:`EBENEZER SCROOGE`) RETURN n:result:"Ebenezer Scrooge is the main character of A Christmas Carol, portrayed as a miserly and greedy old man who experiences a transformation through the visitation of spirits."', 'source_id': 'chunk-c7b10789a9cb0af6c553730b29bd9034chunk-9e3921da66da5d761ab73cd849af6c43'}> -2024-10-30 05:09:06,100 - lightrag - INFO - _do_upsert:query: - MERGE (n:`EBENEZER SCROOGE`) - SET n += $properties - RETURN n - :result:{'entity_type': '"PERSON"', 'description': '"Ebenezer Scrooge is a central character known for his past connections and interactions, especially with Fezziwig and Dick Wilkins.""Ebenezer Scrooge is a protagonist who experiences confusion and fear regarding the passage of time and supernatural events, especially concerned about a ghostly visitation.""Ebenezer Scrooge is the main character of A Christmas Carol, portrayed as a miserly and greedy old man who experiences a transformation through the visitation of spirits.""Ebenezer Scrooge is the main character of A Christmas Carol, depicted as a miserly and cold-hearted man who undergoes a significant transformation.""Ebenezer Scrooge is the main character who experiences a profound transformation through his encounters with supernatural entities."', 'source_id': 'chunk-c7b10789a9cb0af6c553730b29bd9034chunk-8bc1edd983869352d14cf0886a9175a7chunk-9e3921da66da5d761ab73cd849af6c43'} -2024-10-30 05:09:06,254 - lightrag - INFO - get_node:query:MATCH (n:`BOB CRATCHIT`) RETURN n:result:"Bob Cratchit is Scrooge\'s clerk, who demonstrates a sense of hope and joy, particularly highlighted during Christmas Eve.""Bob Cratchit is Scrooge\'s employee who arrives late to work after celebrating Christmas, displaying a sense of trepidation toward Scrooge.""Bob Cratchit is a character associated with Scrooge, representing the family Scrooge intends to support by sending a turkey.""Bob Cratchit is a character who appears to be the voice of moderation and kindness, attempting to maintain positivity during the family Christmas feast despite Scrooge\'s presence.""Bob Cratchit is depicted as a struggling father, representative of familial love and concern, particularly for his children, including Tiny Tim.""Bob Cratchit is the dedicated clerk of Ebenezer Scrooge, representing the struggles of the working class and the importance of family in A Christmas Carol.""Bob Cratchit is the father of Tiny Tim and the head of the Cratchit family, who expresses joy and gratitude during Christmas dinner.""Bob Cratchit is the father of Tiny Tim, characterized by his kindness and emotional depth, especially in relation to his family\'s struggles.""Bob Cratchit is the father of the Cratchit family, characterized by his warmth and dedication to his family, particularly in caring for Tiny Tim."', 'source_id': 'chunk-83ac129dc9b56f84c46760d153d68e93chunk-503f0bfa5453467c7c61d160a3540ecachunk-90b95db5c53e4364a6bee36b7aa4d70fchunk-b0f459f5af1c3a5e0b92cbe4ee48b77bchunk-1d4b58de5429cd1261370c231c8673e8chunk-d9aac3484185ac66045df92214d245d5chunk-94bea83e7153fc2064aa382b494936a1chunk-7e2e7ebcc19a53b399dc03aded4743e7chunk-9e3921da66da5d761ab73cd849af6c43chunk-19d72c57ae3408758b18d2568e86dc6b'}> -2024-10-30 05:09:06,257 - lightrag - DEBUG - Trigger summary: "BOB CRATCHIT" -2024-10-30 05:09:06,382 - lightrag - INFO - get_node:query:MATCH (n:`TINY TIM`) RETURN n:result:"Tiny Tim is a member of the Cratchit family, who represents the innocence and impact of Scrooge\'s generosity.""Tiny Tim is a symbol of innocence and vulnerability within the Cratchit family, evoking compassion and highlighting the harsh realities of illness and poverty.""Tiny Tim is a symbolic character representing innocence and the impact of loss on family cohesion.""Tiny Tim is a young boy in the Cratchit family, characterized by his spirit and resilience despite being a cripple, symbolizing hope and kindness during Christmas.""Tiny Tim is a young boy in the Cratchit family, who is portrayed as frail yet joyous and embodies the spirit of Christmas.""Tiny Tim is a young child in the Cratchit family, whose health and well-being are of great concern to his family, and he is remembered fondly.""Tiny Tim is depicted as a vulnerable child who participates in the Christmas toast but seems indifferent to it, symbolizing the family\'s struggles.""Tiny Tim, the son of Bob Cratchit, is a sickly child whose positive outlook on life symbolizes hope and compassion in A Christmas Carol."', 'source_id': 'chunk-83ac129dc9b56f84c46760d153d68e93chunk-503f0bfa5453467c7c61d160a3540ecachunk-91572b3cd42786ba4cb2f180ca25cbf4chunk-1d4b58de5429cd1261370c231c8673e8chunk-90b95db5c53e4364a6bee36b7aa4d70fchunk-94bea83e7153fc2064aa382b494936a1chunk-7e2e7ebcc19a53b399dc03aded4743e7chunk-9e3921da66da5d761ab73cd849af6c43chunk-19d72c57ae3408758b18d2568e86dc6b'}> -2024-10-30 05:09:06,385 - lightrag - DEBUG - Trigger summary: "TINY TIM" -2024-10-30 05:09:06,509 - lightrag - INFO - get_node:query:MATCH (n:`MR. FEZZIWIG`) RETURN n:result: -2024-10-30 05:09:06,659 - lightrag - INFO - _do_upsert:query: - MERGE (n:`MR. FEZZIWIG`) - SET n += $properties - RETURN n - :result:{'entity_type': '"PERSON"', 'description': '"Mr. Fezziwig is a kind-hearted merchant and former employer of Scrooge, representing joy and generosity in contrast to Scrooge\'s character.""Mr. Fezziwig is a kind-hearted old merchant who served as a mentor to Scrooge, representing generosity and the joy of Christmas through his festive parties."', 'source_id': 'chunk-9e3921da66da5d761ab73cd849af6c43'} -2024-10-30 05:09:06,804 - lightrag - INFO - get_node:query:MATCH (n:`GHOST OF CHRISTMAS PAST`) RETURN n:result:"The Ghost of Christmas Past is a supernatural entity that aids Scrooge in reflecting on his past experiences and emotions."', 'source_id': 'chunk-bb21d58d36c6306fd8810ddd51c4a971chunk-9e3921da66da5d761ab73cd849af6c43'}> -2024-10-30 05:09:06,962 - lightrag - INFO - _do_upsert:query: - MERGE (n:`GHOST OF CHRISTMAS PAST`) - SET n += $properties - RETURN n - :result:{'entity_type': '"EVENT"', 'description': '"The Ghost of Christmas Past is a supernatural character that shows Scrooge his past, helping him understand the roots of his current miserliness.""The Ghost of Christmas Past is a supernatural entity that aids Scrooge in reflecting on his past experiences and emotions.""The Ghost of Christmas Past is one of the spirits in A Christmas Carol that shows Scrooge his past, prompting reflection and change.""The Ghost of Christmas Past represents a spirit that guides Scrooge to revisit and reflect on his past experiences and memories."', 'source_id': 'chunk-9e3921da66da5d761ab73cd849af6c43chunk-bb21d58d36c6306fd8810ddd51c4a971'} -2024-10-30 05:09:07,105 - lightrag - INFO - get_node:query:MATCH (n:`GHOST OF CHRISTMAS PRESENT`) RETURN n:result:"The Ghost of Christmas Present is a spirit that reveals to Scrooge the joys and struggles of the present Christmas season, emphasizing generosity and compassion."', 'source_id': 'chunk-843b5b2f944c7413d9ca876e2e2f151fchunk-9e3921da66da5d761ab73cd849af6c43'}> -2024-10-30 05:09:07,251 - lightrag - INFO - _do_upsert:query: - MERGE (n:`GHOST OF CHRISTMAS PRESENT`) - SET n += $properties - RETURN n - :result:{'entity_type': '"EVENT"', 'description': '"The Ghost of Christmas Present is a spirit that embodies generosity and abundance, leading Scrooge to self-reflection and understanding.""The Ghost of Christmas Present is a spirit that reveals to Scrooge the joys and struggles of the present Christmas season, emphasizing generosity and compassion.""The Ghost of Christmas Present is a spirit that represents generosity and joy, playing a pivotal role in teaching Scrooge valuable lessons about kindness and the Christmas spirit.""The Ghost of Christmas Present is a spirit that reveals the current struggles and joys of others, influencing Scrooge\'s perspective."', 'source_id': 'chunk-9e3921da66da5d761ab73cd849af6c43chunk-843b5b2f944c7413d9ca876e2e2f151f'} -2024-10-30 05:09:07,415 - lightrag - INFO - get_node:query:MATCH (n:`GHOST OF CHRISTMAS YET TO COME`) RETURN n:result:"The Ghost of Christmas Yet to Come is an event within the story that signifies Scrooge\'s confrontation with the future consequences of his actions."', 'source_id': 'chunk-9e3921da66da5d761ab73cd849af6c43chunk-02baee20cc9463dbe08170a8e1043e32'}> -2024-10-30 05:09:07,608 - lightrag - INFO - _do_upsert:query: - MERGE (n:`GHOST OF CHRISTMAS YET TO COME`) - SET n += $properties - RETURN n - :result:{'entity_type': '"EVENT"', 'description': '"The Ghost of Christmas Yet to Come is a foreboding spirit that shows Scrooge the potential consequences of his actions if he does not change.""The Ghost of Christmas Yet to Come is an apparition that presents Scrooge with a grim vision of his possible future if he doesn\'t change his ways.""The Ghost of Christmas Yet to Come is an event within the story that signifies Scrooge\'s confrontation with the future consequences of his actions.""The Ghost of Christmas Yet to Come signifies a pivotal moment where Scrooge is confronted with the potential futures resulting from his life choices."', 'source_id': 'chunk-02baee20cc9463dbe08170a8e1043e32chunk-9e3921da66da5d761ab73cd849af6c43'} -2024-10-30 05:09:07,780 - lightrag - INFO - get_node:query:MATCH (n:`FRED`) RETURN n:result:"Fred is Scrooge\'s nephew who expresses admiration for his uncle and proposes a toast in his honor during a Christmas gathering.""Fred is Scrooge\'s nephew, mentioned in the context of Scrooge\'s visit to his house.""Fred is Scrooge\'s nephew, representing the warmth and joy of family that Scrooge initially rejects.""Fred is Scrooge\'s niece by marriage who expresses surprise and warmth at Scrooge\'s unexpected visit for dinner."', 'source_id': 'chunk-8f738cb25d60a7dab782162d9d0a25edchunk-e7637ff18c5ded77a68cce0a87883fadchunk-94bea83e7153fc2064aa382b494936a1chunk-89777b838d5447c7bd1ec11282c4ee89chunk-9e3921da66da5d761ab73cd849af6c43'}> -2024-10-30 05:09:07,925 - lightrag - INFO - _do_upsert:query: - MERGE (n:`FRED`) - SET n += $properties - RETURN n - :result:{'entity_type': '"PERSON"', 'description': '"Fred is Ebenezer Scrooge\'s lively nephew, who embodies the spirit of Christmas and contrasts with Scrooge\'s misanthropy by inviting him to family gatherings.""Fred is Scrooge\'s nephew who expresses admiration for his uncle and proposes a toast in his honor during a Christmas gathering.""Fred is Scrooge\'s nephew, mentioned in the context of Scrooge\'s visit to his house.""Fred is Scrooge\'s nephew, representing the warmth and joy of family that Scrooge initially rejects.""Fred is Scrooge\'s niece by marriage who expresses surprise and warmth at Scrooge\'s unexpected visit for dinner.""Fred is Ebenezer Scrooge\'s nephew, who embodies the spirit of Christmas and represents familial love and joy.""Fred is Scrooge\'s nephew who expresses admiration for Scrooge and raises a toast to his uncle during a Christmas gathering.""Fred is Scrooge\'s nephew, representing familial love and the joy of Christmas gatherings.""Fred is Scrooge\'s nephew, who invites Scrooge to dinner, emphasizing familial connections and the spirit of Christmas.""Fred is Scrooge\'s nephew, who is surprised by Scrooge\'s visit and is depicted as a friendly figure during the Christmas gathering."', 'source_id': 'chunk-e7637ff18c5ded77a68cce0a87883fadchunk-89777b838d5447c7bd1ec11282c4ee89chunk-94bea83e7153fc2064aa382b494936a1chunk-9e3921da66da5d761ab73cd849af6c43chunk-8f738cb25d60a7dab782162d9d0a25ed'} -2024-10-30 05:09:08,067 - lightrag - INFO - get_node:query:MATCH (n:`MRS. CRATCHIT`) RETURN n:result:"Mrs. Cratchit is Bob Cratchit\'s supportive wife, who strives to provide for her family despite their financial struggles and embodies resilience.""Mrs. Cratchit is Bob\'s wife who prepares the Christmas pudding, showcasing her pride and care in family traditions.""Mrs. Cratchit is Bob\'s wife, a supportive mother who manages the household while showing concern for her children\'s well-being.""Mrs. Cratchit is Bob\'s wife, portrayed as making an effort to prepare a festive atmosphere despite their financial struggles.""Mrs. Cratchit is a character who shows affection towards Bob, enhancing the family dynamic.""Mrs. Cratchit is the mother in the family who prepares the meal and shows warmth and attentiveness towards her family members during their Christmas celebration."', 'source_id': 'chunk-503f0bfa5453467c7c61d160a3540ecachunk-b0f459f5af1c3a5e0b92cbe4ee48b77bchunk-91572b3cd42786ba4cb2f180ca25cbf4chunk-1d4b58de5429cd1261370c231c8673e8chunk-7e2e7ebcc19a53b399dc03aded4743e7chunk-9e3921da66da5d761ab73cd849af6c43chunk-19d72c57ae3408758b18d2568e86dc6b'}> -2024-10-30 05:09:08,214 - lightrag - INFO - _do_upsert:query: - MERGE (n:`MRS. CRATCHIT`) - SET n += $properties - RETURN n - :result:{'entity_type': '"PERSON"', 'description': '"Mrs. Cratchit expresses strong disdain for Scrooge, highlighting her feelings towards him during the Christmas festivities.""Mrs. Cratchit is Bob Cratchit\'s supportive wife, who strives to provide for her family despite their financial struggles and embodies resilience.""Mrs. Cratchit is Bob\'s wife who prepares the Christmas pudding, showcasing her pride and care in family traditions.""Mrs. Cratchit is Bob\'s wife, a supportive mother who manages the household while showing concern for her children\'s well-being.""Mrs. Cratchit is Bob\'s wife, portrayed as making an effort to prepare a festive atmosphere despite their financial struggles.""Mrs. Cratchit is a character who shows affection towards Bob, enhancing the family dynamic.""Mrs. Cratchit is the mother in the family who prepares the meal and shows warmth and attentiveness towards her family members during their Christmas celebration.""Mrs. Cratchit is Bob\'s wife, portrayed as devoted and hardworking, striving to create a joyous atmosphere for her family despite limited resources.""Mrs. Cratchit is Bob\'s wife, proud of her cooking skills, particularly the Christmas pudding, and plays a central role in the family\'s holiday celebration.""Mrs. Cratchit is Bob\'s wife, who expresses care for her family and shares in the emotional moments surrounding Tiny Tim\'s health.""Mrs. Cratchit is portrayed as outspoken and resentful towards Scrooge, yet ultimately participates in the Christmas festivities for her family\'s sake.""Mrs. Cratchit is the mother of the Cratchit family, depicted as nurturing and energetic, managing the Christmas preparations and caring for her children.""Mrs. Cratchit is the wife of Bob Cratchit, who supports her family and embodies warmth and resilience despite their struggles.""Mrs. Cratchit, the wife of Bob, is industrious and caring, focused on the well-being of her family."', 'source_id': 'chunk-7e2e7ebcc19a53b399dc03aded4743e7chunk-91572b3cd42786ba4cb2f180ca25cbf4chunk-b0f459f5af1c3a5e0b92cbe4ee48b77bchunk-19d72c57ae3408758b18d2568e86dc6bchunk-1d4b58de5429cd1261370c231c8673e8chunk-9e3921da66da5d761ab73cd849af6c43chunk-503f0bfa5453467c7c61d160a3540eca'} -2024-10-30 05:09:08,354 - lightrag - INFO - get_node:query:MATCH (n:`BELINDA CRATCHIT`) RETURN n:result:"Belinda Cratchit is one of Bob Cratchit\'s daughters, assisting her mother in laying the dining cloth.""Belinda is a daughter of Bob and Mrs. Cratchit, representing the Cratchit family\'s love and unity during difficult times."', 'source_id': 'chunk-7e2e7ebcc19a53b399dc03aded4743e7chunk-9e3921da66da5d761ab73cd849af6c43chunk-b0f459f5af1c3a5e0b92cbe4ee48b77b'}> -2024-10-30 05:09:08,506 - lightrag - INFO - _do_upsert:query: - MERGE (n:`BELINDA CRATCHIT`) - SET n += $properties - RETURN n - :result:{'entity_type': '"PERSON"', 'description': '"Belinda Cratchit is another daughter in the Cratchit family, depicted as participating in the festive meal by sweetening the apple sauce, showcasing her involvement in family traditions.""Belinda Cratchit is one of Bob Cratchit\'s daughters, assisting her mother in laying the dining cloth.""Belinda is a daughter of Bob and Mrs. Cratchit, representing the Cratchit family\'s love and unity during difficult times.""Belinda Cratchit is one of Bob\'s daughters, assisting in household tasks and showing a strong familial bond.""Belinda is the daughter of Bob and Mrs. Cratchit, representing the innocence and joyful spirit of the Cratchit family."', 'source_id': 'chunk-b0f459f5af1c3a5e0b92cbe4ee48b77bchunk-9e3921da66da5d761ab73cd849af6c43chunk-7e2e7ebcc19a53b399dc03aded4743e7'} -2024-10-30 05:09:08,651 - lightrag - INFO - get_node:query:MATCH (n:`MARTHA CRATCHIT`) RETURN n:result:"Martha is another daughter of Bob and Mrs. Cratchit, who, like her sister Belinda, symbolizes the warmth and togetherness in the Cratchit household."', 'source_id': 'chunk-7e2e7ebcc19a53b399dc03aded4743e7chunk-9e3921da66da5d761ab73cd849af6c43'}> -2024-10-30 05:09:08,801 - lightrag - INFO - _do_upsert:query: - MERGE (n:`MARTHA CRATCHIT`) - SET n += $properties - RETURN n - :result:{'entity_type': '"PERSON"', 'description': '"Martha Cratchit is a daughter in the Cratchit family who contributes to the household and shows affection for her family, particularly her father Bob.""Martha is another daughter of Bob and Mrs. Cratchit, who, like her sister Belinda, symbolizes the warmth and togetherness in the Cratchit household.""Martha Cratchit is a daughter of Bob and Mrs. Cratchit, working as an apprentice at a milliner\'s and looking forward to the holiday for a good rest.""Martha is another daughter of Bob and Mrs. Cratchit, who shows love and care for her family."', 'source_id': 'chunk-7e2e7ebcc19a53b399dc03aded4743e7chunk-9e3921da66da5d761ab73cd849af6c43chunk-19d72c57ae3408758b18d2568e86dc6b'} -2024-10-30 05:09:08,943 - lightrag - INFO - get_node:query:MATCH (n:`JOE`) RETURN n:result:"Joe is a marine-store dealer depicted as receiving stolen goods, illustrating the consequences of crime and the darker sides of society.""Joe is portrayed as a character engaged in a conversation about the deceased, displaying a mix of humor and practicality in dealing with the possessions of the dead."', 'source_id': 'chunk-89777b838d5447c7bd1ec11282c4ee89chunk-9e3921da66da5d761ab73cd849af6c43chunk-e1f29eeadc1d8ab46dc8a0bbd3c56b64'}> -2024-10-30 05:09:09,098 - lightrag - INFO - _do_upsert:query: - MERGE (n:`JOE`) - SET n += $properties - RETURN n - :result:{'entity_type': '"PERSON"', 'description': '"Joe is a character engaged in a conversation, displaying curiosity and a sense of humor regarding a situation related to \'bed-curtains\'.""Joe is a marine-store dealer depicted as receiving stolen goods, illustrating the consequences of crime and the darker sides of society.""Joe is portrayed as a character engaged in a conversation about the deceased, displaying a mix of humor and practicality in dealing with the possessions of the dead.""Joe is a character who interacts with others, demonstrating a sense of curiosity and disbelief regarding certain situations and comments.""Joe is a marine-store dealer and receiver of stolen goods, indicative of the darker, more unscrupulous elements of society.""Joe is an old character who engages in conversation about the deceased man\'s belongings, revealing his pragmatic and somewhat cynical perspective on life and death."', 'source_id': 'chunk-e1f29eeadc1d8ab46dc8a0bbd3c56b64chunk-9e3921da66da5d761ab73cd849af6c43chunk-89777b838d5447c7bd1ec11282c4ee89'} -2024-10-30 05:09:09,245 - lightrag - INFO - get_node:query:MATCH (n:`GHOST OF JACOB MARLEY`) RETURN n:result: -2024-10-30 05:09:09,388 - lightrag - INFO - _do_upsert:query: - MERGE (n:`GHOST OF JACOB MARLEY`) - SET n += $properties - RETURN n - :result:{'entity_type': '"EVENT"', 'description': '"The Ghost of Jacob Marley is Scrooge\'s deceased business partner who returns as a spirit to warn Scrooge about the consequences of his life choices and to encourage change.""The Ghost of Jacob Marley is the specter of Scrooge\'s former business partner, who warns Scrooge to change his ways."', 'source_id': 'chunk-9e3921da66da5d761ab73cd849af6c43'} -2024-10-30 05:09:09,529 - lightrag - INFO - get_node:query:MATCH (n:`FAN`) RETURN n:result: -2024-10-30 05:09:09,672 - lightrag - INFO - _do_upsert:query: - MERGE (n:`FAN`) - SET n += $properties - RETURN n - :result:{'entity_type': '"PERSON"', 'description': '"Fan is Ebenezer Scrooge\'s sister, who represents love and kindness from Scrooge\'s past, influencing his character development.""Fan is Scrooge\'s caring sister who represents innocence and love, showcasing a more tender side of Scrooge’s past.""Fan is Scrooge\'s younger sister, who brings joy and the promise of a happier home, reflecting on their childhood relationship."', 'source_id': 'chunk-c6c248858d1b13ab7ee9ca13c1aeed6bchunk-9e3921da66da5d761ab73cd849af6c43'} -2024-10-30 05:09:09,815 - lightrag - INFO - get_node:query:MATCH (n:`MRS. FEZZIWIG`) RETURN n:result:"Mrs. Fezziwig is the kind partner of Mr. Fezziwig, contributing to the festive atmosphere of their celebrations, emphasizing the importance of joyous gatherings.""Mrs. Fezziwig is the wife of Fezziwig, joining him in celebrations and dances, embodying warmth and partnership.""Mrs. Fezziwig is the wife of Fezziwig, participating in the dance, representing companionship and festive cheer."', 'source_id': 'chunk-b2f98bc7abb0c67d4c86055c7fd72218chunk-89777b838d5447c7bd1ec11282c4ee89chunk-9e3921da66da5d761ab73cd849af6c43chunk-8bc1edd983869352d14cf0886a9175a7'}> -2024-10-30 05:09:09,963 - lightrag - INFO - _do_upsert:query: - MERGE (n:`MRS. FEZZIWIG`) - SET n += $properties - RETURN n - :result:{'entity_type': '"PERSON"', 'description': '"Mrs. Fezziwig is Fezziwig\'s partner at the domestic ball, contributing to the festive atmosphere alongside her husband.""Mrs. Fezziwig is the kind partner of Mr. Fezziwig, contributing to the festive atmosphere of their celebrations, emphasizing the importance of joyous gatherings.""Mrs. Fezziwig is the wife of Fezziwig, joining him in celebrations and dances, embodying warmth and partnership.""Mrs. Fezziwig is the wife of Fezziwig, participating in the dance, representing companionship and festive cheer.""Mrs. Fezziwig is noted for her smile and participation in the festivities, particularly in dancing with Fezziwig.""Mrs. Fezziwig is the partner of Mr. Fezziwig, known for her warmth and joyous nature during Christmas celebrations.""Mrs. Fezziwig partners with Fezziwig in hosting the domestic ball, contributing to the warmth and cheer of the event."', 'source_id': 'chunk-b2f98bc7abb0c67d4c86055c7fd72218chunk-8bc1edd983869352d14cf0886a9175a7chunk-9e3921da66da5d761ab73cd849af6c43chunk-89777b838d5447c7bd1ec11282c4ee89'} -2024-10-30 05:09:10,105 - lightrag - INFO - get_node:query:MATCH (n:`FEZZIWIG`) RETURN n:result:"Fezziwig is a figure representing a cheerful and jovial employer who organizes lively Christmas festivities for his employees.""Fezziwig is a jovial figure from Scrooge\'s past, known for his kind-heartedness and as a former employer who embodies the spirit of Christmas.""Fezziwig is depicted as a joyful character who dances with his wife and embodies the spirit of Christmas."', 'source_id': 'chunk-b2f98bc7abb0c67d4c86055c7fd72218chunk-89777b838d5447c7bd1ec11282c4ee89chunk-c6c248858d1b13ab7ee9ca13c1aeed6bchunk-8bc1edd983869352d14cf0886a9175a7'}> -2024-10-30 05:09:10,272 - lightrag - INFO - _do_upsert:query: - MERGE (n:`FEZZIWIG`) - SET n += $properties - RETURN n - :result:{'entity_type': '"PERSON"', 'description': '"Fezziwig is a character known for hosting a domestic ball that brings joy and merriment to the participants, showcasing his ability to create happiness.""Fezziwig is a character noted for his role during a domestic ball, providing a joyful atmosphere and exemplifying kindness and generosity.""Fezziwig is a figure representing a cheerful and jovial employer who organizes lively Christmas festivities for his employees.""Fezziwig is a jovial figure from Scrooge\'s past, known for his kind-heartedness and as a former employer who embodies the spirit of Christmas.""Fezziwig is depicted as a joyful character who dances with his wife and embodies the spirit of Christmas.""Fezziwig is a joyful and lively character who dances with Mrs. Fezziwig, embodying the festive spirit of Christmas.""Fezziwig is presented as Scrooge\'s former employer, known for his jovial nature and generous spirit, who plays a significant role in Scrooge\'s memories.""Fezziwig is the owner of a business where festive celebrations take place, known for his jovial character and ability to create a lively atmosphere."', 'source_id': 'chunk-b2f98bc7abb0c67d4c86055c7fd72218chunk-c6c248858d1b13ab7ee9ca13c1aeed6bchunk-89777b838d5447c7bd1ec11282c4ee89chunk-8bc1edd983869352d14cf0886a9175a7'} -2024-10-30 05:09:10,424 - lightrag - INFO - get_node:query:MATCH (n:`SCROOGE`) RETURN n:result:chunk-b2f98bc7abb0c67d4c86055c7fd72218chunk-91614df5cb74cbe5e109a338a82041e9chunk-8f738cb25d60a7dab782162d9d0a25edchunk-e7637ff18c5ded77a68cce0a87883fadchunk-d9aac3484185ac66045df92214d245d5chunk-90b95db5c53e4364a6bee36b7aa4d70fchunk-89777b838d5447c7bd1ec11282c4ee89chunk-c6c248858d1b13ab7ee9ca13c1aeed6bchunk-5dac41b3f9eeaf794f0147400b1718cdchunk-773d0df1dd25c356f7b771d780583e09chunk-843b5b2f944c7413d9ca876e2e2f151fchunk-f1a4fbcf1ed86864b9bfd5e8dba4c683chunk-359187e7571bda4b0b08b2e0b6581e52chunk-503f0bfa5453467c7c61d160a3540ecachunk-9c43dac2fcd5b578242d907ea6f8fc7bchunk-b0f459f5af1c3a5e0b92cbe4ee48b77bchunk-1aa50206d02ed89418f65f97c6441d1cchunk-54bdd22db1f84a965b5f4c06c9216d8dchunk-cb661c37436355ccec2769b1d0350c5fchunk-90d5764e301321c087f5a8f78b73a145chunk-91572b3cd42786ba4cb2f180ca25cbf4chunk-da2472b4ef2a535b62908f14d0fb0ca9chunk-99b0ec7f7e006561352b5d65e849611dchunk-43c9bee23adfa77aa9dedd22401bba7dchunk-83ac129dc9b56f84c46760d153d68e93chunk-e1f29eeadc1d8ab46dc8a0bbd3c56b64chunk-8590d9263cd2cd4fa583c432fc54e6c3chunk-02baee20cc9463dbe08170a8e1043e32chunk-94bea83e7153fc2064aa382b494936a1chunk-74e2466de2f67fd710ef2f20c0a8d9e0chunk-19d72c57ae3408758b18d2568e86dc6b'}> -2024-10-30 05:09:10,427 - lightrag - DEBUG - Trigger summary: "SCROOGE" -2024-10-30 05:09:10,558 - lightrag - INFO - get_node:query:MATCH (n:`MARLEY`) RETURN n:result:"Marley is Scrooge\'s deceased partner whose death is emphasized, and who impacts Scrooge\'s story through memories and reflections.""Marley is a character who, although only mentioned, has had a significant influence on Scrooge\'s life and perspective, representing his past connections.""Marley is a deceased character whose ghost appears to Scrooge, representing regret and the consequences of a life led without compassion."', 'source_id': 'chunk-d9aac3484185ac66045df92214d245d5chunk-843b5b2f944c7413d9ca876e2e2f151fchunk-89777b838d5447c7bd1ec11282c4ee89chunk-9c43dac2fcd5b578242d907ea6f8fc7b'}> -2024-10-30 05:09:10,709 - lightrag - INFO - _do_upsert:query: - MERGE (n:`MARLEY`) - SET n += $properties - RETURN n - :result:{'entity_type': '"PERSON"', 'description': '"Marley is Scrooge\'s deceased business partner whose presence looms over the story, symbolizing the consequences of a life similar to Scrooge\'s.""Marley is Scrooge\'s deceased business partner, whose death is a significant event that sets the tone for the story.""Marley is Scrooge\'s deceased business partner, whose death is mentioned as impactful, having passed seven years prior to the events in the text.""Marley is Scrooge\'s deceased business partner, whose spectral presence looms over Scrooge, evoking themes of regret and the supernatural.""Marley is Scrooge\'s deceased partner whose death is emphasized, and who impacts Scrooge\'s story through memories and reflections.""Marley is a character who, although only mentioned, has had a significant influence on Scrooge\'s life and perspective, representing his past connections.""Marley is a deceased character whose ghost appears to Scrooge, representing regret and the consequences of a life led without compassion.""Marley is depicted as a ghost, having a pigtail, waistcoat, tights, and boots, and is central to Scrooge\'s haunting experience."', 'source_id': 'chunk-d9aac3484185ac66045df92214d245d5chunk-5dac41b3f9eeaf794f0147400b1718cdchunk-89777b838d5447c7bd1ec11282c4ee89chunk-9c43dac2fcd5b578242d907ea6f8fc7bchunk-843b5b2f944c7413d9ca876e2e2f151f'} -2024-10-30 05:09:10,852 - lightrag - INFO - get_node:query:MATCH (n:`CHRISTMAS`) RETURN n:result:"Christmas is a festive occasion that has led to a joyful transformation in Scrooge\'s character and actions.""Christmas is a festive time celebrated by the Cratchit family, symbolizing joy, family togetherness, and generosity.""Christmas is a significant holiday that serves as the backdrop for Scrooge\'s transformation and the events that unfold during the narrative.""Christmas is a significant holiday that triggers Scrooge\'s memories and reflections on joy, loneliness, and his past.""Christmas is central to the text, symbolizing generosity, charity, and warmth that Scrooge rejects.""Christmas is depicted as a festive season when charity and social duty are emphasized, contrasting with Scrooge\'s values.""Christmas is depicted as a time associated with joy and abundance, contrasting with Scrooge\'s initial views.""Christmas is depicted as a time of joy and communal spirit, marked by people\'s activities and interactions in the streets.""Christmas is depicted as a time of joy and generosity, contrasting sharply with Scrooge\'s past behavior and current solitude.""Christmas is portrayed as a festive time that Scrooge dismisses, emphasizing the contrast between joy and his miserable attitude.""Christmas is portrayed as a time of joy, reflection, and connection, emphasizing the positive impact of the holiday spirit on individuals and communities.""Christmas is presented as a time for merriment and social gatherings, which Scrooge\'s nephew advocates for despite his uncle\'s opposition.""Christmas is the central holiday during which the events unfold, leading to significant character transformations and themes of generosity.""Christmas is the season during which festive activities and celebrations are occurring, including dances and gatherings.""Christmas represents a time of reflection and change for Scrooge, emphasizing themes of redemption.""Christmas serves as a thematic backdrop for the story, symbolizing redemption, generosity, and the spirit of giving."', 'source_id': 'chunk-91614df5cb74cbe5e109a338a82041e9chunk-503f0bfa5453467c7c61d160a3540ecachunk-773d0df1dd25c356f7b771d780583e09chunk-8f738cb25d60a7dab782162d9d0a25edchunk-e7637ff18c5ded77a68cce0a87883fadchunk-8590d9263cd2cd4fa583c432fc54e6c3chunk-54bdd22db1f84a965b5f4c06c9216d8dchunk-02baee20cc9463dbe08170a8e1043e32chunk-90d5764e301321c087f5a8f78b73a145chunk-91572b3cd42786ba4cb2f180ca25cbf4chunk-1d4b58de5429cd1261370c231c8673e8chunk-da2472b4ef2a535b62908f14d0fb0ca9chunk-94bea83e7153fc2064aa382b494936a1chunk-89777b838d5447c7bd1ec11282c4ee89chunk-99b0ec7f7e006561352b5d65e849611dchunk-74e2466de2f67fd710ef2f20c0a8d9e0chunk-5dac41b3f9eeaf794f0147400b1718cd'}> -2024-10-30 05:09:10,855 - lightrag - DEBUG - Trigger summary: "CHRISTMAS" -2024-10-30 05:09:10,973 - lightrag - INFO - get_node:query:MATCH (n:`THE WAREHOUSE`) RETURN n:result:"The Warehouse is the setting for Fezziwig\'s celebrations, transformed into a ballroom for the festivities."', 'source_id': 'chunk-c6c248858d1b13ab7ee9ca13c1aeed6bchunk-8bc1edd983869352d14cf0886a9175a7'}> -2024-10-30 05:09:11,119 - lightrag - INFO - _do_upsert:query: - MERGE (n:`THE WAREHOUSE`) - SET n += $properties - RETURN n - :result:{'entity_type': '"ORGANIZATION"', 'description': '"The Warehouse is a specific location where Scrooge had previously apprenticed and holds significant memories for him.""The Warehouse is the setting for Fezziwig\'s celebrations, transformed into a ballroom for the festivities.""The Warehouse is the place of business shared by Scrooge and Marley, a symbol of their partnership in life and business.""The Warehouse serves as the setting for Scrooge\'s memories of Fezziwig\'s jovial nature and the lively gatherings during his apprenticeship."', 'source_id': 'chunk-c6c248858d1b13ab7ee9ca13c1aeed6bchunk-89777b838d5447c7bd1ec11282c4ee89chunk-8bc1edd983869352d14cf0886a9175a7'} -2024-10-30 05:09:11,263 - lightrag - INFO - get_node:query:MATCH (n:`THE WOMAN`) RETURN n:result:"The Woman is a character involved in the dialogue about the deceased\'s belongings, showing a carefree attitude towards their former owner.""The Woman is a character who enters the shop with a heavy bundle and demonstrates a bold and defiant demeanor, eager to take part in the conversation about the deceased\'s belongings."', 'source_id': 'chunk-60fc063c79fc0d4acc91a57e79de04dcchunk-89777b838d5447c7bd1ec11282c4ee89chunk-e1f29eeadc1d8ab46dc8a0bbd3c56b64'}> -2024-10-30 05:09:11,410 - lightrag - INFO - _do_upsert:query: - MERGE (n:`THE WOMAN`) - SET n += $properties - RETURN n - :result:{'entity_type': '"PERSON"', 'description': '"The Woman engages in a humorous exchange with Joe about taking down bed-curtains, showcasing lively communication among characters.""The Woman is a character involved in the dialogue about the deceased\'s belongings, showing a carefree attitude towards their former owner.""The Woman is a character who enters the shop with a heavy bundle and demonstrates a bold and defiant demeanor, eager to take part in the conversation about the deceased\'s belongings.""The Woman engages in conversation with Joe, providing light-hearted responses and laughing at the absurdity of their discussions.""The Woman is an unknown character, bold and defiant, who instigates the gathering and discusses the deceased with a lack of reverence.""The Woman is another character who interacts with Joe, demonstrating a lack of reverence for the deceased and a focus on material gain."', 'source_id': 'chunk-60fc063c79fc0d4acc91a57e79de04dcchunk-89777b838d5447c7bd1ec11282c4ee89chunk-e1f29eeadc1d8ab46dc8a0bbd3c56b64'} -2024-10-30 05:09:11,695 - lightrag - INFO - _do_upsert:query: - MERGE (n:`TIM`) - SET n += $properties - RETURN n - :result:{'entity_type': '"PERSON"', 'description': '"Tim is mentioned as someone important to Scrooge, indicating familial ties and possibly evoking sympathy and regret from Scrooge\'s character."', 'source_id': 'chunk-89777b838d5447c7bd1ec11282c4ee89'} -2024-10-30 05:09:12,009 - lightrag - INFO - _do_upsert:query: - MERGE (n:`THE LACE TUCKER`) - SET n += $properties - RETURN n - :result:{'entity_type': '"EVENT"', 'description': '"The Lace Tucker is a fashionable accessory worn by one of Scrooge\'s Niece\'s sisters, representing the social settings and themes of appearance in the gathering.""The Lace Tucker is a small event within the text, illustrating moments of humor and social interactions among characters."', 'source_id': 'chunk-773d0df1dd25c356f7b771d780583e09chunk-89777b838d5447c7bd1ec11282c4ee89'} -2024-10-30 05:09:12,297 - lightrag - INFO - _do_upsert:query: - MERGE (n:`OLD SCROOGE`) - SET n += $properties - RETURN n - :result:{'entity_type': '"PERSON"', 'description': '"Old Scrooge represents an earlier version of Scrooge, depicted in memories or recollections and emphasizing his character\'s history."', 'source_id': 'chunk-89777b838d5447c7bd1ec11282c4ee89'} -2024-10-30 05:09:12,439 - lightrag - INFO - get_node:query:MATCH (n:`THE FUNERAL`) RETURN n:result: -2024-10-30 05:09:12,581 - lightrag - INFO - _do_upsert:query: - MERGE (n:`THE FUNERAL`) - SET n += $properties - RETURN n - :result:{'entity_type': '"EVENT"', 'description': '"The Funeral is a context for conversation among characters, reflecting on mortality and social connections surrounding death.""The Funeral of Marley is a significant event that highlights Scrooge\'s relationship with Marley and sets the tone for their partnership and Scrooge\'s eventual path.""The Funeral serves as a significant event reflecting on Marley\'s death, noted for its business-like atmosphere as perceived by Scrooge."', 'source_id': 'chunk-89777b838d5447c7bd1ec11282c4ee89chunk-f1a4fbcf1ed86864b9bfd5e8dba4c683'} -2024-10-30 05:09:12,721 - lightrag - INFO - get_node:query:MATCH (n:`SCROOGE'S NEPHEW`) RETURN n:result:"Scrooge\'s Nephew is characterized by his contagious laughter and good humor, contrasting with his uncle\'s miserliness.""Scrooge\'s Nephew is portrayed as optimistic about Christmas, emphasizing its positive qualities despite Scrooge\'s negativity.""Scrooge\'s nephew is a character present at the gathering who actively participates in the games and engages with his family."', 'source_id': 'chunk-43c9bee23adfa77aa9dedd22401bba7dchunk-773d0df1dd25c356f7b771d780583e09chunk-74e2466de2f67fd710ef2f20c0a8d9e0chunk-5dac41b3f9eeaf794f0147400b1718cd'}> -2024-10-30 05:09:12,861 - lightrag - INFO - _do_upsert:query: - MERGE (n:`SCROOGE'S NEPHEW`) - SET n += $properties - RETURN n - :result:{'entity_type': '"PERSON"', 'description': '"Scrooge\'s Nephew is a cheerful and optimistic character who challenges Scrooge\'s gloomy outlook on Christmas and life.""Scrooge\'s Nephew is a cheerful and optimistic character who represents the spirit of Christmas, opposing Scrooge\'s views.""Scrooge\'s Nephew is characterized by his contagious laughter and good humor, contrasting with his uncle\'s miserliness.""Scrooge\'s Nephew is portrayed as optimistic about Christmas, emphasizing its positive qualities despite Scrooge\'s negativity.""Scrooge\'s nephew is a character present at the gathering who actively participates in the games and engages with his family.""Scrooge\'s Nephew is a jovial character known for his infectious laughter and optimistic attitude towards Christmas, finding humor in Scrooge\'s ill temper and wealth.""Scrooge\'s Nephew is portrayed as warm-hearted and attempts to engage his uncle in the spirit of Christmas, despite Scrooge\'s rebuff.""Scrooge\'s nephew is portrayed as a joyful character who embodies laughter and good-humor, contrasting with Scrooge\'s initial persona."', 'source_id': 'chunk-91614df5cb74cbe5e109a338a82041e9chunk-74e2466de2f67fd710ef2f20c0a8d9e0chunk-5dac41b3f9eeaf794f0147400b1718cdchunk-43c9bee23adfa77aa9dedd22401bba7dchunk-773d0df1dd25c356f7b771d780583e09'} -2024-10-30 05:09:13,000 - lightrag - INFO - get_node:query:MATCH (n:`COUNTING-HOUSE`) RETURN n:result: -2024-10-30 05:09:13,140 - lightrag - INFO - _do_upsert:query: - MERGE (n:`COUNTING-HOUSE`) - SET n += $properties - RETURN n - :result:{'entity_type': '"LOCATION"', 'description': '"Scrooge\'s counting-house is the place of his work, characterized by coldness and a lack of warmth or holiday spirit.""The Counting-House is a physical space representing the business environment where Scrooge and Marley engaged in trade but also symbolizes their limited worldview.""The Counting-house is the place where Scrooge conducted his business and represents the limitations of his previous life."', 'source_id': 'chunk-74e2466de2f67fd710ef2f20c0a8d9e0chunk-359187e7571bda4b0b08b2e0b6581e52'} -2024-10-30 05:09:13,417 - lightrag - INFO - _do_upsert:query: - MERGE (n:`BEGGARS`) - SET n += $properties - RETURN n - :result:{'entity_type': '"PERSON"', 'description': '"Beggars are individuals who implore Scrooge for charity, symbolizing the lack of compassion and generosity in his character."', 'source_id': 'chunk-74e2466de2f67fd710ef2f20c0a8d9e0'} -2024-10-30 05:09:13,557 - lightrag - INFO - get_node:query:MATCH (n:`CHILDREN`) RETURN n:result:"The Children represent the joyful, carefree aspects of Scrooge\'s past, embodying happiness and the innocence of youth that he has long forgotten."', 'source_id': 'chunk-bb21d58d36c6306fd8810ddd51c4a971chunk-e7637ff18c5ded77a68cce0a87883fad'}> -2024-10-30 05:09:13,699 - lightrag - INFO - _do_upsert:query: - MERGE (n:`CHILDREN`) - SET n += $properties - RETURN n - :result:{'entity_type': '"PERSON"', 'description': '"Children represent innocence and joy, often seen as seeking affection and connection with adults like Scrooge.""The Children represent innocence and purity, highlighted as victims of societal neglect and calling for compassion from Scrooge.""The Children represent the joyful, carefree aspects of Scrooge\'s past, embodying happiness and the innocence of youth that he has long forgotten.""The Children represent innocence and the impact of societal neglect, embodied by Ignorance and Want as personified by the Spirit."', 'source_id': 'chunk-74e2466de2f67fd710ef2f20c0a8d9e0chunk-bb21d58d36c6306fd8810ddd51c4a971chunk-e7637ff18c5ded77a68cce0a87883fad'} -2024-10-30 05:09:13,847 - lightrag - INFO - get_node:query:MATCH (n:`COLD WEATHER`) RETURN n:result: -2024-10-30 05:09:13,990 - lightrag - INFO - _do_upsert:query: - MERGE (n:`COLD WEATHER`) - SET n += $properties - RETURN n - :result:{'entity_type': '"GEO"', 'description': '"Cold Weather is noted in the conversation between the businessmen, serving as a backdrop to their trivial interactions.""Cold Weather sets the bleak and unforgiving atmosphere, reflecting Scrooge’s own personality and state of mind."', 'source_id': 'chunk-74e2466de2f67fd710ef2f20c0a8d9e0chunk-f1a4fbcf1ed86864b9bfd5e8dba4c683'} -2024-10-30 05:09:14,130 - lightrag - INFO - get_node:query:MATCH (n:`FOG`) RETURN n:result:"Fog is a weather phenomenon that adds to the bleak atmosphere, reflecting the obscurity and confusion in Scrooge\'s life."', 'source_id': 'chunk-d9aac3484185ac66045df92214d245d5chunk-74e2466de2f67fd710ef2f20c0a8d9e0'}> -2024-10-30 05:09:14,272 - lightrag - INFO - _do_upsert:query: - MERGE (n:`FOG`) - SET n += $properties - RETURN n - :result:{'entity_type': '"GEO"', 'description': '"Fog is a weather condition mentioned that enhances the dreary atmosphere surrounding Scrooge\'s home and workplace.""Fog is a weather phenomenon that adds to the bleak atmosphere, reflecting the obscurity and confusion in Scrooge\'s life.""Fog represents the obscured visibility and confusion in Scrooge\'s surroundings, enhancing the atmosphere of uncertainty and apprehension.""Fog represents the obscurity and isolation in the environment, mirroring Scrooge’s emotional distance and isolation from society."', 'source_id': 'chunk-74e2466de2f67fd710ef2f20c0a8d9e0chunk-d9aac3484185ac66045df92214d245d5chunk-c7b10789a9cb0af6c553730b29bd9034'} -2024-10-30 05:09:14,552 - lightrag - INFO - _do_upsert:query: - MERGE (n:`COURT`) - SET n += $properties - RETURN n - :result:{'entity_type': '"GEO"', 'description': '"The Court is a location described as a space outside Scrooge\'s office where people pass by, emphasizing the contrast between Scrooge\'s inside world and the outside social interactions."', 'source_id': 'chunk-74e2466de2f67fd710ef2f20c0a8d9e0'} -2024-10-30 05:09:14,872 - lightrag - INFO - _do_upsert:query: - MERGE (n:`SCROOGE AND MARLEY'S`) - SET n += $properties - RETURN n - :result:{'entity_type': '"ORGANIZATION"', 'description': '"Scrooge and Marley\'s is the name of the business run by Scrooge, signifying a partnership that existed before Marley’s death."', 'source_id': 'chunk-5dac41b3f9eeaf794f0147400b1718cd'} -2024-10-30 05:09:15,051 - lightrag - INFO - get_node:query:MATCH (n:`CLERK`) RETURN n:result: -2024-10-30 05:09:15,200 - lightrag - INFO - _do_upsert:query: - MERGE (n:`CLERK`) - SET n += $properties - RETURN n - :result:{'entity_type': '"PERSON"', 'description': '"The Clerk is a minor character who provides a contrast to Scrooge\'s character, expressing warmth and kindness during the holiday season.""The Clerk is an unnamed character who serves Scrooge, exhibiting a hopeful disposition despite Scrooge\'s ill-tempered management."', 'source_id': 'chunk-5dac41b3f9eeaf794f0147400b1718cdchunk-d9aac3484185ac66045df92214d245d5'} -2024-10-30 05:09:15,474 - lightrag - INFO - _do_upsert:query: - MERGE (n:`THE GENTLEMEN`) - SET n += $properties - RETURN n - :result:{'entity_type': '"ORGANIZATION"', 'description': '"The Gentlemen are portrayed as representatives who arrive at Scrooge\'s office to collect donations for the poor during Christmas."', 'source_id': 'chunk-5dac41b3f9eeaf794f0147400b1718cd'} -2024-10-30 05:09:15,758 - lightrag - INFO - _do_upsert:query: - MERGE (n:`POOR AND DESTITUTE`) - SET n += $properties - RETURN n - :result:{'entity_type': '"CONCEPT"', 'description': '"The Poor and Destitute refer to those in need, highlighting the themes of charity and social responsibility that are emphasized during the Christmas season."', 'source_id': 'chunk-5dac41b3f9eeaf794f0147400b1718cd'} -2024-10-30 05:09:15,894 - lightrag - INFO - get_node:query:MATCH (n:`CHRISTMAS-TIME`) RETURN n:result:"Christmas-time represents the festive season, a recurring theme that evokes memories and emotions in Scrooge’s reflections.""Christmas-time serves as a backdrop for the narrative, emphasizing themes of reflection, mortality, and social interactions."', 'source_id': 'chunk-f1a4fbcf1ed86864b9bfd5e8dba4c683chunk-c6c248858d1b13ab7ee9ca13c1aeed6bchunk-5dac41b3f9eeaf794f0147400b1718cd'}> -2024-10-30 05:09:16,037 - lightrag - INFO - _do_upsert:query: - MERGE (n:`CHRISTMAS-TIME`) - SET n += $properties - RETURN n - :result:{'entity_type': '"EVENT"', 'description': '"Christmas-Time refers to the period surrounding Christmas, laden with connotations of joy, generosity, and family gatherings, which Scrooge vehemently criticizes.""Christmas-time is characterized as a period filled with festivities, joy, and community engagement, which Scrooge regards cynically.""Christmas-time represents the festive season, a recurring theme that evokes memories and emotions in Scrooge’s reflections.""Christmas-time serves as a backdrop for the narrative, emphasizing themes of reflection, mortality, and social interactions.""Christmas-time symbolizes a period of joy and reunion, characterized by scenes of celebration and warmth in the story."', 'source_id': 'chunk-c6c248858d1b13ab7ee9ca13c1aeed6bchunk-5dac41b3f9eeaf794f0147400b1718cdchunk-f1a4fbcf1ed86864b9bfd5e8dba4c683'} -2024-10-30 05:09:16,171 - lightrag - INFO - get_node:query:MATCH (n:`BEDLAM`) RETURN n:result: -2024-10-30 05:09:16,311 - lightrag - INFO - _do_upsert:query: - MERGE (n:`BEDLAM`) - SET n += $properties - RETURN n - :result:{'entity_type': '"GEO"', 'description': '"Bedlam is referenced as a metaphorical expression of madness, illustrating Scrooge\'s disdain for cheerful attitudes he finds absurd.""Bedlam is referenced as a metaphorical place for madness, illustrating Scrooge\'s disdain for the cheerful nature of Christmas and his sense of isolation."', 'source_id': 'chunk-5dac41b3f9eeaf794f0147400b1718cd'} -2024-10-30 05:09:16,451 - lightrag - INFO - get_node:query:MATCH (n:`THE GENTLEMAN`) RETURN n:result: -2024-10-30 05:09:16,588 - lightrag - INFO - _do_upsert:query: - MERGE (n:`THE GENTLEMAN`) - SET n += $properties - RETURN n - :result:{'entity_type': '"PERSON"', 'description': '"The Gentleman is a character attempting to persuade Scrooge to contribute to charity for the poor during Christmas.""The Gentleman is a character who advocates for helping the poor and trying to raise a fund for those in need during Christmas."', 'source_id': 'chunk-90d5764e301321c087f5a8f78b73a145'} -2024-10-30 05:09:16,866 - lightrag - INFO - _do_upsert:query: - MERGE (n:`THE POOR LAW`) - SET n += $properties - RETURN n - :result:{'entity_type': '"ORGANIZATION"', 'description': '"The Poor Law refers to a governmental system in place intended to support the impoverished, which Scrooge references to indicate his views on responsibility and charity."', 'source_id': 'chunk-90d5764e301321c087f5a8f78b73a145'} -2024-10-30 05:09:17,003 - lightrag - INFO - get_node:query:MATCH (n:`THE UNION WORKHOUSES`) RETURN n:result: -2024-10-30 05:09:17,143 - lightrag - INFO - _do_upsert:query: - MERGE (n:`THE UNION WORKHOUSES`) - SET n += $properties - RETURN n - :result:{'entity_type': '"ORGANIZATION"', 'description': '"The Union Workhouses are facilities that provide aid to the poor, still operational as confirmed by the Gentleman during the discussion with Scrooge.""The Union Workhouses are institutions mentioned as a means of supporting the poor, still operational during Scrooge\'s time."', 'source_id': 'chunk-90d5764e301321c087f5a8f78b73a145'} -2024-10-30 05:09:17,278 - lightrag - INFO - get_node:query:MATCH (n:`THE MANSION HOUSE`) RETURN n:result: -2024-10-30 05:09:17,417 - lightrag - INFO - _do_upsert:query: - MERGE (n:`THE MANSION HOUSE`) - SET n += $properties - RETURN n - :result:{'entity_type': '"LOCATION"', 'description': '"The Mansion House is identified as the residence of the Lord Mayor, a place associated with Christmas festivities and order.""The Mansion House is the official residence of the Lord Mayor, where festive preparations for Christmas are being made."', 'source_id': 'chunk-90d5764e301321c087f5a8f78b73a145'} -2024-10-30 05:09:17,549 - lightrag - INFO - get_node:query:MATCH (n:`THE POOR`) RETURN n:result: -2024-10-30 05:09:17,688 - lightrag - INFO - _do_upsert:query: - MERGE (n:`THE POOR`) - SET n += $properties - RETURN n - :result:{'entity_type': '"PERSON"', 'description': '"The Poor refer to those individuals in society who face economic hardship and are in need of help, as indicated by their absence from the workhouses and their desperate circumstances during the festive season.""The Poor refers to the individuals in society who are destitute and in need of assistance, often highlighted in discussions about charity during Christmas."', 'source_id': 'chunk-90d5764e301321c087f5a8f78b73a145'} -2024-10-30 05:09:17,975 - lightrag - INFO - _do_upsert:query: - MERGE (n:`SCROOGE'S COUNTING-HOUSE`) - SET n += $properties - RETURN n - :result:{'entity_type': '"LOCATION"', 'description': '"Scrooge\'s Counting-House is the workspace of Scrooge where he conducts his business, symbolizing his frugality and solitary nature."', 'source_id': 'chunk-90d5764e301321c087f5a8f78b73a145'} -2024-10-30 05:09:18,110 - lightrag - INFO - get_node:query:MATCH (n:`THE LORD MAYOR`) RETURN n:result: -2024-10-30 05:09:18,250 - lightrag - INFO - _do_upsert:query: - MERGE (n:`THE LORD MAYOR`) - SET n += $properties - RETURN n - :result:{'entity_type': '"PERSON"', 'description': '"The Lord Mayor is a civic leader responsible for overseeing Christmas festivities and ensuring proper celebrations in the town.""The Lord Mayor oversees the festivities during Christmas at the Mansion House, representing authority and public celebration."', 'source_id': 'chunk-90d5764e301321c087f5a8f78b73a145'} -2024-10-30 05:09:18,383 - lightrag - INFO - get_node:query:MATCH (n:`CHRISTMAS PUDDING`) RETURN n:result: -2024-10-30 05:09:18,527 - lightrag - INFO - _do_upsert:query: - MERGE (n:`CHRISTMAS PUDDING`) - SET n += $properties - RETURN n - :result:{'entity_type': '"EVENT"', 'description': '"Christmas Pudding is a dish being prepared for the festive celebration, embodying the spirit of Christmas and family gatherings.""The Christmas Pudding is a significant dish prepared by Mrs. Cratchit, symbolizing the family\'s festive celebration and unity."', 'source_id': 'chunk-503f0bfa5453467c7c61d160a3540ecachunk-90d5764e301321c087f5a8f78b73a145'} -2024-10-30 05:09:18,671 - lightrag - INFO - get_node:query:MATCH (n:`THE GAS-PIPES`) RETURN n:result: -2024-10-30 05:09:18,813 - lightrag - INFO - _do_upsert:query: - MERGE (n:`THE GAS-PIPES`) - SET n += $properties - RETURN n - :result:{'entity_type': '"ORGANIZATION"', 'description': '"The Gas-Pipes represent the infrastructure of the city, which signifies the industrial and economic activity during the cold winter season.""The Gas-pipes are mentioned as undergoing repairs in The Main Street, indicating the infrastructure\'s role in the community during winter."', 'source_id': 'chunk-90d5764e301321c087f5a8f78b73a145'} -2024-10-30 05:09:18,948 - lightrag - INFO - get_node:query:MATCH (n:`THE CHURCH`) RETURN n:result: -2024-10-30 05:09:19,089 - lightrag - INFO - _do_upsert:query: - MERGE (n:`THE CHURCH`) - SET n += $properties - RETURN n - :result:{'entity_type': '"ORGANIZATION"', 'description': '"The Church is a location from where the clock chimes are heard, marking the passage of time and contributing to the atmosphere of the scene.""The Church is a place Scrooge visits, indicating his desire to engage in the Christmas spirit and community.""The Church is a place referenced in the context of the community\'s sentiments toward Christmas and social welfare."', 'source_id': 'chunk-cb661c37436355ccec2769b1d0350c5fchunk-8f738cb25d60a7dab782162d9d0a25edchunk-90d5764e301321c087f5a8f78b73a145'} -2024-10-30 05:09:19,227 - lightrag - INFO - get_node:query:MATCH (n:`THE CRATCHIT FAMILY`) RETURN n:result: -2024-10-30 05:09:19,368 - lightrag - INFO - _do_upsert:query: - MERGE (n:`THE CRATCHIT FAMILY`) - SET n += $properties - RETURN n - :result:{'entity_type': '"ORGANIZATION"', 'description': '"The Cratchit Family consists of Bob, Mrs. Cratchit, Tiny Tim, and their children, characterized by their strong familial bonds and love for one another despite financial struggles.""The Cratchit Family consists of Bob, Mrs. Cratchit, and their children, highlighting themes of familial love and support amidst hardship.""The Cratchit Family is a close-knit family depicted in the text, characterized by love and warmth, celebrating Christmas together despite their difficulties.""The Cratchit Family represents a typical struggling family in the text, highlighting the theme of social disparity during Christmas."', 'source_id': 'chunk-503f0bfa5453467c7c61d160a3540ecachunk-1d4b58de5429cd1261370c231c8673e8chunk-90d5764e301321c087f5a8f78b73a145'} -2024-10-30 05:09:19,506 - lightrag - INFO - get_node:query:MATCH (n:`CHRISTMAS EVE`) RETURN n:result:"Christmas Eve is the night before Christmas, serving as the backdrop for the lively celebrations and dances hosted by Fezziwig.""Christmas Eve is the specific time setting in the story, highlighting the contrast between the joy of the holiday and Scrooge\'s negativity."', 'source_id': 'chunk-d9aac3484185ac66045df92214d245d5chunk-8bc1edd983869352d14cf0886a9175a7chunk-74e2466de2f67fd710ef2f20c0a8d9e0'}> -2024-10-30 05:09:19,648 - lightrag - INFO - _do_upsert:query: - MERGE (n:`CHRISTMAS EVE`) - SET n += $properties - RETURN n - :result:{'entity_type': '"EVENT"', 'description': '"Christmas Eve is a significant time in the story, marked by celebrations and gatherings led by Fezziwig.""Christmas Eve is depicted as a significant time, bringing about joyful activities like sliding down snow hills, contrasting with Scrooge\'s dour demeanor.""Christmas Eve is the night before Christmas, serving as the backdrop for the lively celebrations and dances hosted by Fezziwig.""Christmas Eve is the specific time setting in the story, highlighting the contrast between the joy of the holiday and Scrooge\'s negativity.""Christmas Eve is the day prior to Christmas, a time that carries festive significance and anticipation in the narrative."', 'source_id': 'chunk-74e2466de2f67fd710ef2f20c0a8d9e0chunk-8bc1edd983869352d14cf0886a9175a7chunk-d9aac3484185ac66045df92214d245d5'} -2024-10-30 05:09:19,783 - lightrag - INFO - get_node:query:MATCH (n:`CAMDEN TOWN`) RETURN n:result:"Camden Town is a location where Bob Cratchit runs home to celebrate Christmas Eve, representing a more joyful and lively setting."', 'source_id': 'chunk-d9aac3484185ac66045df92214d245d5chunk-8f738cb25d60a7dab782162d9d0a25ed'}> -2024-10-30 05:09:19,926 - lightrag - INFO - _do_upsert:query: - MERGE (n:`CAMDEN TOWN`) - SET n += $properties - RETURN n - :result:{'entity_type': '"GEO"', 'description': '"Camden Town is a location mentioned as Bob Cratchit\'s home, highlighting the setting of his personal life.""Camden Town is a location mentioned in relation to the logistics of transporting a large turkey.""Camden Town is a location where Bob Cratchit runs home to celebrate Christmas Eve, representing a more joyful and lively setting.""Camden Town is mentioned as a location related to the transportation of a turkey in a humorous context during the holiday season."', 'source_id': 'chunk-d9aac3484185ac66045df92214d245d5chunk-8f738cb25d60a7dab782162d9d0a25ed'} -2024-10-30 05:09:20,061 - lightrag - INFO - get_node:query:MATCH (n:`THE COUNTING-HOUSE`) RETURN n:result:"The Counting-House is where Scrooge works and is characterized by its cold and unwelcoming environment."', 'source_id': 'chunk-d9aac3484185ac66045df92214d245d5chunk-74e2466de2f67fd710ef2f20c0a8d9e0'}> -2024-10-30 05:09:20,201 - lightrag - INFO - _do_upsert:query: - MERGE (n:`THE COUNTING-HOUSE`) - SET n += $properties - RETURN n - :result:{'entity_type': '"ORGANIZATION"', 'description': '"The Counting-House is Scrooge\'s place of work, characterized by a gloomy demeanor and an atmosphere that reflects Scrooge\'s character.""The Counting-House is where Scrooge works and is characterized by its cold and unwelcoming environment.""The Counting-House is the place where Scrooge works, reflecting a business environment lacking warmth or joy."', 'source_id': 'chunk-74e2466de2f67fd710ef2f20c0a8d9e0chunk-d9aac3484185ac66045df92214d245d5'} -2024-10-30 05:09:20,337 - lightrag - INFO - get_node:query:MATCH (n:`THE KNOCKER`) RETURN n:result:"The Knocker is an ornate door knocker that Scrooge admires, reflecting his newfound appreciation for simple joys.""The Knocker on the door serves as a symbolic gateway to the supernatural events, being the first point of eerie interaction for Scrooge."', 'source_id': 'chunk-d9aac3484185ac66045df92214d245d5chunk-8f738cb25d60a7dab782162d9d0a25edchunk-9c43dac2fcd5b578242d907ea6f8fc7b'}> -2024-10-30 05:09:20,480 - lightrag - INFO - _do_upsert:query: - MERGE (n:`THE KNOCKER`) - SET n += $properties - RETURN n - :result:{'entity_type': '"ORGANIZATION"', 'description': '"The Knocker is a feature on Scrooge\'s door, which takes on a mystical quality when Scrooge perceives Marley\'s face in it.""The Knocker is a physical object that becomes a symbol of Scrooge\'s psyche, transforming into Marley\'s face, representing his guilt and past.""The Knocker is an ornate door knocker that Scrooge admires, reflecting his newfound appreciation for simple joys.""The Knocker on the door serves as a symbolic gateway to the supernatural events, being the first point of eerie interaction for Scrooge.""The Knocker is a physical object that symbolizes Scrooge\'s newfound appreciation for the simple, honest joys of life during Christmas."', 'source_id': 'chunk-9c43dac2fcd5b578242d907ea6f8fc7bchunk-d9aac3484185ac66045df92214d245d5chunk-8f738cb25d60a7dab782162d9d0a25ed'} -2024-10-30 05:09:20,786 - lightrag - INFO - _do_upsert:query: - MERGE (n:`THE COUNTING-HOUSE CLERK`) - SET n += $properties - RETURN n - :result:{'entity_type': '"PERSON"', 'description': '"The Counting-House Clerk is an unnamed character who interacts with Scrooge, representing the workforce under Scrooge\'s employment."', 'source_id': 'chunk-d9aac3484185ac66045df92214d245d5'} -2024-10-30 05:09:20,946 - lightrag - INFO - get_node:query:MATCH (n:`THE CANDLE`) RETURN n:result: -2024-10-30 05:09:21,090 - lightrag - INFO - _do_upsert:query: - MERGE (n:`THE CANDLE`) - SET n += $properties - RETURN n - :result:{'entity_type': '"TECHNOLOGY"', 'description': '"The Candle is a source of light that Scrooge lights as he enters his home, symbolizing the struggle against darkness and isolation.""The Candle represents a source of light in Scrooge\'s dark life, emphasizing the contrast between warmth and isolation."', 'source_id': 'chunk-9c43dac2fcd5b578242d907ea6f8fc7bchunk-d9aac3484185ac66045df92214d245d5'} -2024-10-30 05:09:21,362 - lightrag - INFO - _do_upsert:query: - MERGE (n:`THE YARD`) - SET n += $properties - RETURN n - :result:{'entity_type': '"GEO"', 'description': '"The Yard refers to the dark and gloomy space behind Scrooge\'s residence, creating an atmosphere of loneliness and despair."', 'source_id': 'chunk-d9aac3484185ac66045df92214d245d5'} -2024-10-30 05:09:21,649 - lightrag - INFO - _do_upsert:query: - MERGE (n:`THE FOG AND FROST`) - SET n += $properties - RETURN n - :result:{'entity_type': '"CONCEPT"', 'description': '"The Fog and Frost symbolize the coldness and obscurity surrounding Scrooge\'s life and mindset, enhancing the gloomy atmosphere."', 'source_id': 'chunk-d9aac3484185ac66045df92214d245d5'} -2024-10-30 05:09:21,786 - lightrag - INFO - get_node:query:MATCH (n:`THE GHOST OF MARLEY`) RETURN n:result: -2024-10-30 05:09:21,929 - lightrag - INFO - _do_upsert:query: - MERGE (n:`THE GHOST OF MARLEY`) - SET n += $properties - RETURN n - :result:{'entity_type': '"EVENT"', 'description': '"The Ghost of Marley is an event that is anticipated in the narrative, representing Scrooge\'s confrontation with his past and the supernatural.""The Ghost of Marley refers to the apparition that appears to Scrooge, serving as a catalyst for his transformation and moral reckoning."', 'source_id': 'chunk-d9aac3484185ac66045df92214d245d5'} -2024-10-30 05:09:22,073 - lightrag - INFO - get_node:query:MATCH (n:`LONDON`) RETURN n:result:"London serves as the setting where the events take place, adding a cultural backdrop to the Christmas gathering."', 'source_id': 'chunk-d9aac3484185ac66045df92214d245d5chunk-43c9bee23adfa77aa9dedd22401bba7d'}> -2024-10-30 05:09:22,216 - lightrag - INFO - _do_upsert:query: - MERGE (n:`LONDON`) - SET n += $properties - RETURN n - :result:{'entity_type': '"GEO"', 'description': '"London is the city where the narrative takes place, representing a central location in the story.""London serves as the general setting for the story, although its specific mention relates to an animal in the context of a game.""London serves as the geographical setting for the story, encapsulating the harsh winter atmosphere and the life of its inhabitants during the festive season.""London serves as the setting where the events take place, adding a cultural backdrop to the Christmas gathering.""London serves as the setting for the story, highlighting the bustling yet isolating environment in which Scrooge lives."', 'source_id': 'chunk-e7637ff18c5ded77a68cce0a87883fadchunk-d9aac3484185ac66045df92214d245d5chunk-43c9bee23adfa77aa9dedd22401bba7d'} -2024-10-30 05:09:22,351 - lightrag - INFO - get_node:query:MATCH (n:`THE HOUSE`) RETURN n:result:"The House is the setting where Scrooge experiences the haunting, with a description of its features contributing to the eerie atmosphere."', 'source_id': 'chunk-da2472b4ef2a535b62908f14d0fb0ca9chunk-9c43dac2fcd5b578242d907ea6f8fc7b'}> -2024-10-30 05:09:22,488 - lightrag - INFO - _do_upsert:query: - MERGE (n:`THE HOUSE`) - SET n += $properties - RETURN n - :result:{'entity_type': '"GEO"', 'description': '"The House is the setting for Scrooge\'s encounters, characterized by its darkness, the creaking sounds, and the presence of the ghost.""The House is the setting for the Christmas celebration and interactions among the characters, embodying warmth and family togetherness.""The House is the setting where Scrooge experiences the haunting, with a description of its features contributing to the eerie atmosphere."', 'source_id': 'chunk-9c43dac2fcd5b578242d907ea6f8fc7bchunk-da2472b4ef2a535b62908f14d0fb0ca9'} -2024-10-30 05:09:22,623 - lightrag - INFO - get_node:query:MATCH (n:`THE GHOST`) RETURN n:result:"The Ghost is a supernatural entity that shows Scrooge scenes from his past to provoke realization and remorse.""The Ghost refers specifically to the supernatural presence guiding Scrooge through his reflections and past experiences.""The Ghost represents the spirit of Jacob Marley, warning Scrooge about the aftereffects of neglecting human virtue and kindness during life.""The Ghost represents various spectral entities that visit Scrooge to facilitate his transformation by highlighting the consequences of his actions.""The Ghost serves as a guiding presence that helps Scrooge confront and reflect on his past during Christmas."', 'source_id': 'chunk-8590d9263cd2cd4fa583c432fc54e6c3chunk-54bdd22db1f84a965b5f4c06c9216d8dchunk-1aa50206d02ed89418f65f97c6441d1cchunk-02baee20cc9463dbe08170a8e1043e32chunk-da2472b4ef2a535b62908f14d0fb0ca9chunk-359187e7571bda4b0b08b2e0b6581e52'}> -2024-10-30 05:09:22,762 - lightrag - INFO - _do_upsert:query: - MERGE (n:`THE GHOST`) - SET n += $properties - RETURN n - :result:{'entity_type': '"EVENT"', 'description': '"The Ghost is a spectral manifestation of Jacob Marley, appearing to communicate a vital message to Scrooge about the spiritual consequences of his life choices.""The Ghost is a supernatural entity that shows Scrooge scenes from his past to provoke realization and remorse.""The Ghost refers specifically to the supernatural presence guiding Scrooge through his reflections and past experiences.""The Ghost represents the spirit of Jacob Marley, warning Scrooge about the aftereffects of neglecting human virtue and kindness during life.""The Ghost represents various spectral entities that visit Scrooge to facilitate his transformation by highlighting the consequences of his actions.""The Ghost serves as a guiding presence that helps Scrooge confront and reflect on his past during Christmas.""The Ghost is a supernatural being that interacts with Scrooge, helping him to confront his past and evoke emotions connected to Christmas.""The Ghost is a supernatural figure that guides Scrooge through his experiences, showing him the joys of family and the significance of Christmas.""The Ghost is described as a strange figure with qualities of both a child and an old man, representing the supernatural intervention in Scrooge\'s life.""The Ghost refers to the Spirit who guides Scrooge through his journey, embodying themes of change, redemption, and moral lessons.""The Ghost refers to the apparition of Marley, which instills dread in Scrooge and symbolizes the theme of redemption.""The Ghost represents a spectral figure guiding Scrooge through his past, serving as a catalyst for self-reflection and transformation.""The Ghost represents a supernatural entity that shows Scrooge various scenes from his life, influencing his emotional state and ultimate redemption.""The Ghost represents the specter of Jacob Marley, who visits Scrooge to deliver an important message regarding his life and the impending visits of three spirits.""The Ghost serves as a supernatural guide for Scrooge, revealing lessons about kindness, death, and the emotional repercussions of one\'s actions."', 'source_id': 'chunk-e7637ff18c5ded77a68cce0a87883fadchunk-c7b10789a9cb0af6c553730b29bd9034chunk-c6c248858d1b13ab7ee9ca13c1aeed6bchunk-83ac129dc9b56f84c46760d153d68e93chunk-8590d9263cd2cd4fa583c432fc54e6c3chunk-43c9bee23adfa77aa9dedd22401bba7dchunk-da2472b4ef2a535b62908f14d0fb0ca9chunk-02baee20cc9463dbe08170a8e1043e32chunk-359187e7571bda4b0b08b2e0b6581e52chunk-54bdd22db1f84a965b5f4c06c9216d8dchunk-1aa50206d02ed89418f65f97c6441d1cchunk-cb661c37436355ccec2769b1d0350c5fchunk-9c43dac2fcd5b578242d907ea6f8fc7b'} -2024-10-30 05:09:22,897 - lightrag - INFO - get_node:query:MATCH (n:`THE BELL`) RETURN n:result:"The Bell is described as a disused bell that starts to swing and ring during the haunting, signifying the onset of supernatural occurrences."', 'source_id': 'chunk-9c43dac2fcd5b578242d907ea6f8fc7bchunk-cb661c37436355ccec2769b1d0350c5f'}> -2024-10-30 05:09:23,037 - lightrag - INFO - _do_upsert:query: - MERGE (n:`THE BELL`) - SET n += $properties - RETURN n - :result:{'entity_type': '"GEO"', 'description': '"The Bell is a church bell that signifies the time passing and marks the moments of Scrooge\'s encounters with the ghosts.""The Bell is described as a disused bell that starts to swing and ring during the haunting, signifying the onset of supernatural occurrences.""The Bell is a disused bell in Scrooge\'s room, which begins to swing and rings out loudly, heralding the appearance of Marley\'s Ghost."', 'source_id': 'chunk-cb661c37436355ccec2769b1d0350c5fchunk-9c43dac2fcd5b578242d907ea6f8fc7b'} -2024-10-30 05:09:23,174 - lightrag - INFO - get_node:query:MATCH (n:`THE WINE-MERCHANT'S CELLAR`) RETURN n:result: -2024-10-30 05:09:23,313 - lightrag - INFO - _do_upsert:query: - MERGE (n:`THE WINE-MERCHANT'S CELLAR`) - SET n += $properties - RETURN n - :result:{'entity_type': '"GEO"', 'description': '"The Wine-Merchant\'s Cellar is a location that holds significance in the story, where sounds of dragging chains are heard, adding to the ghostly ambiance.""The Wine-Merchant\'s Cellar is a location within The House where sounds of dragging chains are heard, signifying a haunted presence."', 'source_id': 'chunk-9c43dac2fcd5b578242d907ea6f8fc7b'} -2024-10-30 05:09:23,593 - lightrag - INFO - _do_upsert:query: - MERGE (n:`THE DYING FLAME`) - SET n += $properties - RETURN n - :result:{'entity_type': '"CONCEPT"', 'description': '"The Dying Flame represents the fear and uncertainty in Scrooge as it reacts to the presence of Marley’s Ghost, adding to the eerie atmosphere.""The Dying Flame signifies the waning spirit of Scrooge, momentarily invigorated by the arrival of the ghost as a metaphor for his fading humanity."', 'source_id': 'chunk-9c43dac2fcd5b578242d907ea6f8fc7bchunk-1aa50206d02ed89418f65f97c6441d1c'} -2024-10-30 05:09:23,730 - lightrag - INFO - get_node:query:MATCH (n:`THE GRATE`) RETURN n:result: -2024-10-30 05:09:23,867 - lightrag - INFO - _do_upsert:query: - MERGE (n:`THE GRATE`) - SET n += $properties - RETURN n - :result:{'entity_type': '"GEO"', 'description': '"The Grate is a small fire in Scrooge\'s room that provides meager warmth, symbolizing Scrooge\'s cold disposition.""The Grate is part of Scrooge\'s room where a small fire burns, contributing to the bleak and cold atmosphere of his setting."', 'source_id': 'chunk-9c43dac2fcd5b578242d907ea6f8fc7b'} -2024-10-30 05:09:24,147 - lightrag - INFO - _do_upsert:query: - MERGE (n:`SCROOGE'S DRESSING-GOWN`) - SET n += $properties - RETURN n - :result:{'entity_type': '"CONCEPT"', 'description': '"Scrooge\'s Dressing-Gown represents his reluctance to engage with the world outside, emphasizing his isolation and contentment with solitude."', 'source_id': 'chunk-9c43dac2fcd5b578242d907ea6f8fc7b'} -2024-10-30 05:09:24,420 - lightrag - INFO - _do_upsert:query: - MERGE (n:`GRUE`) - SET n += $properties - RETURN n - :result:{'entity_type': '"GEO"', 'description': '"Grue is the small saucepan of gruel prepared by Scrooge, indicating his minimalistic lifestyle and frugality."', 'source_id': 'chunk-9c43dac2fcd5b578242d907ea6f8fc7b'} -2024-10-30 05:09:24,699 - lightrag - INFO - _do_upsert:query: - MERGE (n:`THE HEAVY CHAIN`) - SET n += $properties - RETURN n - :result:{'entity_type': '"CONCEPT"', 'description': '"The Heavy Chain is associated with the dragging noise heard by Scrooge, symbolizing the burdens of his past actions."', 'source_id': 'chunk-9c43dac2fcd5b578242d907ea6f8fc7b'} -2024-10-30 05:09:24,833 - lightrag - INFO - get_node:query:MATCH (n:`THE CASK`) RETURN n:result: -2024-10-30 05:09:24,972 - lightrag - INFO - _do_upsert:query: - MERGE (n:`THE CASK`) - SET n += $properties - RETURN n - :result:{'entity_type': '"GEO"', 'description': '"The Cask is part of the cellar, contributing to the sounds associated with Marley\'s Ghost and aiding in creating a sense of dread.""The Cask is part of the sounds emerging from the cellar, contributing to the eerie atmosphere surrounding Marley’s Ghost."', 'source_id': 'chunk-9c43dac2fcd5b578242d907ea6f8fc7b'} -2024-10-30 05:09:25,112 - lightrag - INFO - get_node:query:MATCH (n:`MARLEY'S GHOST`) RETURN n:result:"Marley\'s Ghost is a spectral visitation that deeply troubles Scrooge and causes him great perplexity, leading him to question the reality of his experiences.""Marley\'s Ghost represents the supernatural apparition of Marley, who has been dead for seven years and symbolizes regret and warning to Scrooge."', 'source_id': 'chunk-c7b10789a9cb0af6c553730b29bd9034chunk-9c43dac2fcd5b578242d907ea6f8fc7bchunk-cb661c37436355ccec2769b1d0350c5f'}> -2024-10-30 05:09:25,254 - lightrag - INFO - _do_upsert:query: - MERGE (n:`MARLEY'S GHOST`) - SET n += $properties - RETURN n - :result:{'entity_type': '"EVENT"', 'description': '"Marley\'s Ghost is a spectral figure that represents Scrooge\'s past partner who has returned to convey a message, encapsulating themes of guilt and redemption.""Marley\'s Ghost is a spectral figure who appears to Scrooge to warn him of the impending visits from three spirits, representing remorse for his past deeds.""Marley\'s Ghost is a spectral visitation that deeply troubles Scrooge and causes him great perplexity, leading him to question the reality of his experiences.""Marley\'s Ghost represents the supernatural apparition of Marley, who has been dead for seven years and symbolizes regret and warning to Scrooge.""Marley\'s Ghost is an unearthly visitor that appears to Scrooge, causing him to question the nature of reality and dreams.""Marley\'s Ghost is the spectral figure of Jacob Marley, who appears to forewarn Scrooge about his fate and the necessity of change in his life."', 'source_id': 'chunk-cb661c37436355ccec2769b1d0350c5fchunk-c7b10789a9cb0af6c553730b29bd9034chunk-9c43dac2fcd5b578242d907ea6f8fc7bchunk-1aa50206d02ed89418f65f97c6441d1c'} -2024-10-30 05:09:25,389 - lightrag - INFO - get_node:query:MATCH (n:`JACOB MARLEY`) RETURN n:result:"Jacob Marley is Scrooge\'s deceased business partner, who appears as a ghost to warn Scrooge of his impending fate and the need for change.""Jacob Marley is a deceased character who symbolizes the consequences of a life led without compassion, influencing Scrooge\'s redemption.""Jacob Marley is a ghost who appears to Scrooge, having been his business partner in life, and is now bound by chains that signify his earthly ties and regrets.""Jacob Marley is the ghost of Scrooge\'s former business partner, who seeks to impart a lesson about the consequences of a life lived without compassion or connection to humanity.""Jacob Marley is the ghost who represents Scrooge\'s past and serves as a catalyst for his change."', 'source_id': 'chunk-90b95db5c53e4364a6bee36b7aa4d70fchunk-1aa50206d02ed89418f65f97c6441d1cchunk-02baee20cc9463dbe08170a8e1043e32chunk-91572b3cd42786ba4cb2f180ca25cbf4chunk-da2472b4ef2a535b62908f14d0fb0ca9chunk-359187e7571bda4b0b08b2e0b6581e52'}> -2024-10-30 05:09:25,527 - lightrag - INFO - _do_upsert:query: - MERGE (n:`JACOB MARLEY`) - SET n += $properties - RETURN n - :result:{'entity_type': '"PERSON"', 'description': '"Jacob Marley is Scrooge\'s deceased business partner who appears as a ghost, wearing chains that symbolize his past misdeeds and the burden of his regrets.""Jacob Marley is Scrooge\'s deceased business partner who plays a significant role in introducing the spirits to Scrooge.""Jacob Marley is Scrooge\'s deceased business partner, who appears as a ghost to warn Scrooge of his impending fate and the need for change.""Jacob Marley is a deceased character who symbolizes the consequences of a life led without compassion, influencing Scrooge\'s redemption.""Jacob Marley is a ghost who appears to Scrooge, having been his business partner in life, and is now bound by chains that signify his earthly ties and regrets.""Jacob Marley is the ghost of Scrooge\'s former business partner, who seeks to impart a lesson about the consequences of a life lived without compassion or connection to humanity.""Jacob Marley is the ghost who represents Scrooge\'s past and serves as a catalyst for his change.""Jacob Marley is Scrooge\'s deceased partner, who appears in spirit to influence Scrooge\'s journey towards redemption.""Jacob Marley is a spirit who influences Scrooge\'s change of heart, representing a connection to Scrooge\'s past and the theme of redemption.""Jacob Marley is the deceased business partner of Scrooge, whose ghost visits him to convey a message about the importance of charity and kindness.""Jacob Marley is the deceased partner of Scrooge who shows concern for Scrooge\'s fate and the importance of change in his life.""Jacob Marley is the ghost of Scrooge\'s former business partner, who foretells the consequences of Scrooge\'s selfishness and warns him to change his ways.""Jacob Marley is the ghost of Scrooge\'s former partner, who appears to warn Scrooge about his fate and the need for change in his life."', 'source_id': 'chunk-91572b3cd42786ba4cb2f180ca25cbf4chunk-90b95db5c53e4364a6bee36b7aa4d70fchunk-da2472b4ef2a535b62908f14d0fb0ca9chunk-359187e7571bda4b0b08b2e0b6581e52chunk-02baee20cc9463dbe08170a8e1043e32chunk-1aa50206d02ed89418f65f97c6441d1cchunk-cb661c37436355ccec2769b1d0350c5f'} -2024-10-30 05:09:25,661 - lightrag - INFO - get_node:query:MATCH (n:`THE CHAIN`) RETURN n:result:"The Chain symbolizes the burdens of the past that haunt the spirits, showcasing the consequences of one\'s actions in life."', 'source_id': 'chunk-359187e7571bda4b0b08b2e0b6581e52chunk-cb661c37436355ccec2769b1d0350c5f'}> -2024-10-30 05:09:25,805 - lightrag - INFO - _do_upsert:query: - MERGE (n:`THE CHAIN`) - SET n += $properties - RETURN n - :result:{'entity_type': '"CONCEPT"', 'description': '"The Chain refers to the symbolic burden that Marley carries, representing the consequences of his actions and the remorse that traps him in his spectral form.""The Chain symbolizes the burdens of the past that haunt the spirits, showcasing the consequences of one\'s actions in life.""The Chain represents the burdens of greed and the consequences of one\'s actions, worn by Marley\'s Ghost as a physical manifestation of his regrets.""The Chain represents the burdens of regret and guilt that haunt Marley and serve as a warning to Scrooge about the consequences of a life poorly lived."', 'source_id': 'chunk-cb661c37436355ccec2769b1d0350c5fchunk-359187e7571bda4b0b08b2e0b6581e52chunk-1aa50206d02ed89418f65f97c6441d1c'} -2024-10-30 05:09:25,941 - lightrag - INFO - get_node:query:MATCH (n:`THE HEAVY DOOR`) RETURN n:result: -2024-10-30 05:09:26,077 - lightrag - INFO - _do_upsert:query: - MERGE (n:`THE HEAVY DOOR`) - SET n += $properties - RETURN n - :result:{'entity_type': '"CONCEPT"', 'description': '"The Heavy Door symbolizes the threshold between life and death, as well as the barriers between Scrooge and the supernatural world.""The heavy door is a physical boundary encountered by Scrooge, marking the transition between the ordinary world and the supernatural visitation."', 'source_id': 'chunk-1aa50206d02ed89418f65f97c6441d1c'} -2024-10-30 05:09:26,352 - lightrag - INFO - _do_upsert:query: - MERGE (n:`THE SPECTRE`) - SET n += $properties - RETURN n - :result:{'entity_type': '"CONCEPT"', 'description': '"The Spectre refers to the ghostly presence of Marley that embodies the themes of haunting and reflection on one\'s life choices."', 'source_id': 'chunk-1aa50206d02ed89418f65f97c6441d1c'} -2024-10-30 05:09:26,628 - lightrag - INFO - _do_upsert:query: - MERGE (n:`INFERNAL ATMOSPHERE`) - SET n += $properties - RETURN n - :result:{'entity_type': '"CONCEPT"', 'description': '"The Infernal Atmosphere refers to the unsettling environment surrounding Marley\'s Ghost, indicating the discomfort and fear associated with his presence."', 'source_id': 'chunk-1aa50206d02ed89418f65f97c6441d1c'} -2024-10-30 05:09:26,910 - lightrag - INFO - _do_upsert:query: - MERGE (n:`THE CHAIR`) - SET n += $properties - RETURN n - :result:{'entity_type': '"CONCEPT"', 'description': '"The Chair represents the symbol of comfort and safety that Scrooge clings to while facing the terrifying apparition."', 'source_id': 'chunk-1aa50206d02ed89418f65f97c6441d1c'} -2024-10-30 05:09:27,209 - lightrag - INFO - _do_upsert:query: - MERGE (n:`THE VISION`) - SET n += $properties - RETURN n - :result:{'entity_type': '"CONCEPT"', 'description': '"The Vision refers to the haunting imagery that Scrooge perceives, reflecting his inner turmoil and conflict with reality."', 'source_id': 'chunk-1aa50206d02ed89418f65f97c6441d1c'} -2024-10-30 05:09:27,359 - lightrag - INFO - get_node:query:MATCH (n:`THE BANDAGE`) RETURN n:result: -2024-10-30 05:09:27,504 - lightrag - INFO - _do_upsert:query: - MERGE (n:`THE BANDAGE`) - SET n += $properties - RETURN n - :result:{'entity_type': '"CONCEPT"', 'description': '"The Bandage represents the ghost\'s attempt to maintain semblance in his appearance while revealing his true ghostly form.""The bandage is an item used by the ghost, symbolizing decay and the remnants of Marley’s struggle with his own existence post-death."', 'source_id': 'chunk-1aa50206d02ed89418f65f97c6441d1c'} -2024-10-30 05:09:27,640 - lightrag - INFO - get_node:query:MATCH (n:`GHOST`) RETURN n:result:"The Ghost refers to the spirit guiding Scrooge, embodying the themes of memory and reflection on the joys of Christmas.""The Ghost represents a spiritual guide that takes Scrooge on a journey to learn important lessons about compassion and humanity.""The Ghost serves as a supernatural guide for Scrooge, prompting him to reflect on his life and choices."', 'source_id': 'chunk-503f0bfa5453467c7c61d160a3540ecachunk-c6c248858d1b13ab7ee9ca13c1aeed6bchunk-e7637ff18c5ded77a68cce0a87883fadchunk-43c9bee23adfa77aa9dedd22401bba7d'}> -2024-10-30 05:09:27,781 - lightrag - INFO - _do_upsert:query: - MERGE (n:`GHOST`) - SET n += $properties - RETURN n - :result:{'entity_type': '"PERSON"', 'description': '"The Ghost is a supernatural entity that provides guidance and reflection on Scrooge\'s past, representing moral and societal themes.""The Ghost refers to the spirit guiding Scrooge, embodying the themes of memory and reflection on the joys of Christmas.""The Ghost represents a spiritual guide that takes Scrooge on a journey to learn important lessons about compassion and humanity.""The Ghost serves as a supernatural guide for Scrooge, prompting him to reflect on his life and choices.""The Ghost is the spirit of Jacob Marley, who expresses remorse for his life and warns Scrooge about the consequences of ignoring his moral duties."', 'source_id': 'chunk-e7637ff18c5ded77a68cce0a87883fadchunk-c6c248858d1b13ab7ee9ca13c1aeed6bchunk-43c9bee23adfa77aa9dedd22401bba7dchunk-359187e7571bda4b0b08b2e0b6581e52chunk-503f0bfa5453467c7c61d160a3540eca'} -2024-10-30 05:09:27,919 - lightrag - INFO - get_node:query:MATCH (n:`CHRISTMAS EVES`) RETURN n:result: -2024-10-30 05:09:28,059 - lightrag - INFO - _do_upsert:query: - MERGE (n:`CHRISTMAS EVES`) - SET n += $properties - RETURN n - :result:{'entity_type': '"EVENT"', 'description': '"Christmas Eves refer to the time periods associated with the spirits\' visits, specifically connecting to themes of reflection and redemption during the festive season.""Christmas Eves refers to the recurring time periods that Marley reflects upon, indicating the weight of his past decisions leading to regret."', 'source_id': 'chunk-359187e7571bda4b0b08b2e0b6581e52'} -2024-10-30 05:09:28,191 - lightrag - INFO - get_node:query:MATCH (n:`MANKIND`) RETURN n:result: -2024-10-30 05:09:28,325 - lightrag - INFO - _do_upsert:query: - MERGE (n:`MANKIND`) - SET n += $properties - RETURN n - :result:{'entity_type': '"CONCEPT"', 'description': '"Mankind is referenced as a significant concern that should have been the focus of Scrooge\'s life, highlighting the importance of universal compassion and care.""Mankind signifies the broader human community, which Marley claims should be the focus of compassionate effort rather than mere business pursuits."', 'source_id': 'chunk-359187e7571bda4b0b08b2e0b6581e52'} -2024-10-30 05:09:28,597 - lightrag - INFO - _do_upsert:query: - MERGE (n:`ETERNAL CHAIN`) - SET n += $properties - RETURN n - :result:{'entity_type': '"CONCEPT"', 'description': '"The Eternal Chain represents the burdens and consequences of one\'s actions in life, symbolizing the weight of regret carried by the Ghost."', 'source_id': 'chunk-359187e7571bda4b0b08b2e0b6581e52'} -2024-10-30 05:09:28,866 - lightrag - INFO - _do_upsert:query: - MERGE (n:`STAR`) - SET n += $properties - RETURN n - :result:{'entity_type': '"GEO"', 'description': '"The Star symbolizes guidance and hope, referenced in connection with the Wise Men, representing the potential for enlightenment and moral direction."', 'source_id': 'chunk-359187e7571bda4b0b08b2e0b6581e52'} -2024-10-30 05:09:29,145 - lightrag - INFO - _do_upsert:query: - MERGE (n:`WISE MEN`) - SET n += $properties - RETURN n - :result:{'entity_type': '"PERSON"', 'description': '"The Wise Men are figures who followed the Star to bring gifts, embodying the values of recognition and generosity that Scrooge has neglected."', 'source_id': 'chunk-359187e7571bda4b0b08b2e0b6581e52'} -2024-10-30 05:09:29,416 - lightrag - INFO - _do_upsert:query: - MERGE (n:`FELLOW-BEINGS`) - SET n += $properties - RETURN n - :result:{'entity_type': '"CONCEPT"', 'description': '"Fellow-beings are the people whom Scrooge ignored in life, representing the importance of community and connection."', 'source_id': 'chunk-359187e7571bda4b0b08b2e0b6581e52'} -2024-10-30 05:09:29,684 - lightrag - INFO - _do_upsert:query: - MERGE (n:`CHRISTMAS SPIRIT`) - SET n += $properties - RETURN n - :result:{'entity_type': '"CONCEPT"', 'description': '"The Christmas Spirit represents the ideals of generosity and kindness associated with the holiday season, which the Ghost encourages Scrooge to embrace."', 'source_id': 'chunk-359187e7571bda4b0b08b2e0b6581e52'} -2024-10-30 05:09:29,960 - lightrag - INFO - _do_upsert:query: - MERGE (n:`SPECTRE`) - SET n += $properties - RETURN n - :result:{'entity_type': '"PERSON"', 'description': '"The Spectre is another term for the Ghost, representing a manifestation of guilt and the need for change in Scrooge\'s life."', 'source_id': 'chunk-359187e7571bda4b0b08b2e0b6581e52'} -2024-10-30 05:09:30,097 - lightrag - INFO - get_node:query:MATCH (n:`THE THREE SPIRITS`) RETURN n:result: -2024-10-30 05:09:30,235 - lightrag - INFO - _do_upsert:query: - MERGE (n:`THE THREE SPIRITS`) - SET n += $properties - RETURN n - :result:{'entity_type': '"EVENT"', 'description': '"The Three Spirits are the apparitions that Jacob Marley warns Scrooge about, who will visit him to guide him toward redemption.""The Three Spirits refer to the supernatural beings that are prophesied to visit Scrooge, each representing different aspects of time and morality."', 'source_id': 'chunk-cb661c37436355ccec2769b1d0350c5f'} -2024-10-30 05:09:30,511 - lightrag - INFO - _do_upsert:query: - MERGE (n:`THE PHANTOM VOICES`) - SET n += $properties - RETURN n - :result:{'entity_type': '"EVENT"', 'description': '"The Phantom Voices refer to the sorrowful sounds of lamentation that Scrooge hears as the apparitions wander, representing lost opportunities and regret."', 'source_id': 'chunk-cb661c37436355ccec2769b1d0350c5f'} -2024-10-30 05:09:30,643 - lightrag - INFO - get_node:query:MATCH (n:`THE WINDOW`) RETURN n:result: -2024-10-30 05:09:30,781 - lightrag - INFO - _do_upsert:query: - MERGE (n:`THE WINDOW`) - SET n += $properties - RETURN n - :result:{'entity_type': '"GEO"', 'description': '"The Window is a physical presence in Scrooge\'s chamber that he approaches to observe the supernatural occurrences outside.""The Window represents a threshold between the visible and invisible worlds, allowing Scrooge a view into the realm of spirits and their lamentations."', 'source_id': 'chunk-cb661c37436355ccec2769b1d0350c5f'} -2024-10-30 05:09:30,918 - lightrag - INFO - get_node:query:MATCH (n:`THE CLOCK`) RETURN n:result:"The Clock is mentioned as malfunctioning, which symbolizes the confusion and distortion of time that Scrooge experiences during his nighttime visitations."', 'source_id': 'chunk-c7b10789a9cb0af6c553730b29bd9034chunk-cb661c37436355ccec2769b1d0350c5f'}> -2024-10-30 05:09:31,054 - lightrag - INFO - _do_upsert:query: - MERGE (n:`THE CLOCK`) - SET n += $properties - RETURN n - :result:{'entity_type': '"GEO"', 'description': '"The Clock is a device that malfunctions, contributing to Scrooge\'s confusion about time and reality in the narrative.""The Clock is mentioned as malfunctioning, which symbolizes the confusion and distortion of time that Scrooge experiences during his nighttime visitations.""The Clock serves as a symbol of time passing, reflecting Scrooge\'s disorientation regarding time as he transitions between reality and the supernatural.""The Clock signifies the passage of time during the Domestic Ball and plays a role in marking the end of the celebration."', 'source_id': 'chunk-cb661c37436355ccec2769b1d0350c5fchunk-c7b10789a9cb0af6c553730b29bd9034chunk-b2f98bc7abb0c67d4c86055c7fd72218'} -2024-10-30 05:09:31,191 - lightrag - INFO - get_node:query:MATCH (n:`THE DARKNESS`) RETURN n:result: -2024-10-30 05:09:31,331 - lightrag - INFO - _do_upsert:query: - MERGE (n:`THE DARKNESS`) - SET n += $properties - RETURN n - :result:{'entity_type': '"CONCEPT"', 'description': '"The Darkness refers to the absence of light, signifying uncertainty and fear in Scrooge\'s transformation journey.""The Darkness symbolizes the confusion and the unknown that envelops Scrooge as he faces the reality of his past, present, and future."', 'source_id': 'chunk-cb661c37436355ccec2769b1d0350c5f'} -2024-10-30 05:09:31,597 - lightrag - INFO - _do_upsert:query: - MERGE (n:`CLOCK`) - SET n += $properties - RETURN n - :result:{'entity_type': '"ORGANIZATION"', 'description': '"The Clock symbolizes the passage of time and plays a pivotal role in establishing the moments of Scrooge\'s experience with the Ghost."', 'source_id': 'chunk-c7b10789a9cb0af6c553730b29bd9034'} -2024-10-30 05:09:31,730 - lightrag - INFO - get_node:query:MATCH (n:`HOLLY`) RETURN n:result:"Holly is a plant associated with Christmas, mentioned among other decorations that contribute to the festive atmosphere."', 'source_id': 'chunk-843b5b2f944c7413d9ca876e2e2f151fchunk-99b0ec7f7e006561352b5d65e849611d'}> -2024-10-30 05:09:31,875 - lightrag - INFO - _do_upsert:query: - MERGE (n:`HOLLY`) - SET n += $properties - RETURN n - :result:{'entity_type': '"ORGANIZATION"', 'description': '"Holly is a plant associated with Christmas, featured prominently in the Spirit\'s attire, symbolizing joy and celebration during the festive season.""Holly is a plant associated with Christmas, mentioned among other decorations that contribute to the festive atmosphere.""Holly is a symbol held by The Ghost, representing peace and goodwill, contrasting with the cold wintry atmosphere around Scrooge.""Holly is mentioned as part of the traditional decorations associated with Christmas, symbolizing festivity.""Holly represents a traditional decoration associated with Christmas, symbolizing festivity and the presence of the Christmas spirit."', 'source_id': 'chunk-c7b10789a9cb0af6c553730b29bd9034chunk-99b0ec7f7e006561352b5d65e849611dchunk-843b5b2f944c7413d9ca876e2e2f151f'} -2024-10-30 05:09:32,014 - lightrag - INFO - get_node:query:MATCH (n:`LIGHT`) RETURN n:result: -2024-10-30 05:09:32,154 - lightrag - INFO - _do_upsert:query: - MERGE (n:`LIGHT`) - SET n += $properties - RETURN n - :result:{'entity_type': '"CONCEPT"', 'description': '"Light emanates from The Visitor, symbolizing clarity, revelation, and the supernatural, contrasting with the darkness around Scrooge\'s situation.""Light is a prominent feature associated with The Ghost, symbolizing knowledge and revelation, illuminating the darkness of Scrooge\'s ignorance."', 'source_id': 'chunk-c7b10789a9cb0af6c553730b29bd9034'} -2024-10-30 05:09:32,425 - lightrag - INFO - _do_upsert:query: - MERGE (n:`WINTER`) - SET n += $properties - RETURN n - :result:{'entity_type': '"GEO"', 'description': '"Winter represents the cold and bleak environment that surrounds Scrooge during his nighttime encounters with the supernatural."', 'source_id': 'chunk-c7b10789a9cb0af6c553730b29bd9034'} -2024-10-30 05:09:32,556 - lightrag - INFO - get_node:query:MATCH (n:`THE DRESSING-GOWN`) RETURN n:result: -2024-10-30 05:09:32,691 - lightrag - INFO - _do_upsert:query: - MERGE (n:`THE DRESSING-GOWN`) - SET n += $properties - RETURN n - :result:{'entity_type': '"ORGANIZATION"', 'description': '"The Dressing-Gown is worn by Scrooge, illustrating his solitary, night-time routine and emphasizing his isolation.""The Dressing-Gown is worn by Scrooge, symbolizing his state of vulnerability and introspection as he grapples with profound ideas in the narrative."', 'source_id': 'chunk-c7b10789a9cb0af6c553730b29bd9034chunk-9c43dac2fcd5b578242d907ea6f8fc7b'} -2024-10-30 05:09:32,960 - lightrag - INFO - _do_upsert:query: - MERGE (n:`TUNIC`) - SET n += $properties - RETURN n - :result:{'entity_type': '"CONCEPT"', 'description': '"The Tunic is part of The Ghost\'s attire, signifying purity and heavenly qualities in contrast to Scrooge\'s current state."', 'source_id': 'chunk-c7b10789a9cb0af6c553730b29bd9034'} -2024-10-30 05:09:33,234 - lightrag - INFO - _do_upsert:query: - MERGE (n:`BELL`) - SET n += $properties - RETURN n - :result:{'entity_type': '"EVENT"', 'description': '"The Bell signifies the passage of time and is crucial in alerting Scrooge to the hour of visitation by The Ghost."', 'source_id': 'chunk-c7b10789a9cb0af6c553730b29bd9034'} -2024-10-30 05:09:33,510 - lightrag - INFO - _do_upsert:query: - MERGE (n:`CLOCK'S STRIKE`) - SET n += $properties - RETURN n - :result:{'entity_type': '"EVENT"', 'description': '"The Clock\'s Strike is an event marking significant moments throughout the narrative, emphasizing the theme of time."', 'source_id': 'chunk-c7b10789a9cb0af6c553730b29bd9034'} -2024-10-30 05:09:33,641 - lightrag - INFO - get_node:query:MATCH (n:`DREAM`) RETURN n:result: -2024-10-30 05:09:33,777 - lightrag - INFO - _do_upsert:query: - MERGE (n:`DREAM`) - SET n += $properties - RETURN n - :result:{'entity_type': '"CONCEPT"', 'description': '"Dream refers to Scrooge\'s mental conflict regarding whether the spectral encounters are real or figments of his imagination.""Dream refers to the possibility that Scrooge\'s experiences are a figment of his imagination, reflecting his internal struggle with reality and perception."', 'source_id': 'chunk-c7b10789a9cb0af6c553730b29bd9034'} -2024-10-30 05:09:34,050 - lightrag - INFO - _do_upsert:query: - MERGE (n:`DING DONG`) - SET n += $properties - RETURN n - :result:{'entity_type': '"EVENT"', 'description': '"Ding Dong represents the sound of the clock chimes, anchoring the reader in time and emphasizing the moments of realization for Scrooge."', 'source_id': 'chunk-c7b10789a9cb0af6c553730b29bd9034'} -2024-10-30 05:09:34,325 - lightrag - INFO - _do_upsert:query: - MERGE (n:`TIME`) - SET n += $properties - RETURN n - :result:{'entity_type': '"CONCEPT"', 'description': '"Time is a central theme, with characters reflecting on its passage and significance in relation to life and revelations."', 'source_id': 'chunk-c7b10789a9cb0af6c553730b29bd9034'} -2024-10-30 05:09:34,462 - lightrag - INFO - get_node:query:MATCH (n:`THE SPIRIT`) RETURN n:result:"The Spirit is the entity that guides Scrooge through memories, prompting reflections on his past during the Christmas season.""The Spirit refers to an embodiment of the Christmas message that represents moral guidance and introspection in Scrooge\'s life.""The Spirit refers to the Ghost of Christmas Present, a supernatural figure that guides Scrooge through lessons about generosity and community.""The Spirit refers to the supernatural essence of the Ghost of Christmas Past, embodying the idea of reflection and memory.""The Spirit refers to the supernatural influences that visit Scrooge, particularly the second of the Three Spirits.""The Spirit represents the essence of Christmas cheer and generosity, influencing the atmosphere and morale during the feast.""The Spirit represents the supernatural presence urging Scrooge to reflect deeply on the consequences of his life choices, particularly in relation to Death."', 'source_id': 'chunk-b2f98bc7abb0c67d4c86055c7fd72218chunk-e1f29eeadc1d8ab46dc8a0bbd3c56b64chunk-b0f459f5af1c3a5e0b92cbe4ee48b77bchunk-8590d9263cd2cd4fa583c432fc54e6c3chunk-91572b3cd42786ba4cb2f180ca25cbf4chunk-da2472b4ef2a535b62908f14d0fb0ca9chunk-91614df5cb74cbe5e109a338a82041e9chunk-19d72c57ae3408758b18d2568e86dc6b'}> -2024-10-30 05:09:34,606 - lightrag - INFO - _do_upsert:query: - MERGE (n:`THE SPIRIT`) - SET n += $properties - RETURN n - :result:{'entity_type': '"ORGANIZATION"', 'description': '"The Spirit is a ghostly figure guiding Scrooge on a journey to witness the moments of cheer and resilience among people during Christmas, influencing his perspective.""The Spirit is the entity that guides Scrooge through memories, prompting reflections on his past during the Christmas season.""The Spirit refers to an embodiment of the Christmas message that represents moral guidance and introspection in Scrooge\'s life.""The Spirit refers to the Ghost of Christmas Present, a supernatural figure that guides Scrooge through lessons about generosity and community.""The Spirit refers to the supernatural essence of the Ghost of Christmas Past, embodying the idea of reflection and memory.""The Spirit refers to the supernatural influences that visit Scrooge, particularly the second of the Three Spirits.""The Spirit represents the essence of Christmas cheer and generosity, influencing the atmosphere and morale during the feast.""The Spirit represents the supernatural presence urging Scrooge to reflect deeply on the consequences of his life choices, particularly in relation to Death.""The Spirit is a supernatural entity guiding Scrooge through various scenarios, pushing him towards reflection and change.""The Spirit is portrayed as a phantom guiding Scrooge, representing the moral and existential queries of his life.""The Spirit refers to a ghostly figure guiding Scrooge through his memories, playing a vital role in his transformation.""The Spirit refers to the Ghost of Christmas Present, who observes and interacts with the gathering, influencing Scrooge\'s emotional journey.""The Spirit refers to the ghostly apparitions that guide Scrooge through his reflections on life, past, present, and future.""The Spirit refers to the moral lesson embodied by the Ghost that visits Scrooge, emphasizing compassion and the value of life.""The Spirit represents a guiding force encouraging Scrooge to introspect on his past and recognize the value of happiness.""The Spirit represents a supernatural presence that influences the mood of Christmas, promoting generosity and mirth during the holiday season.""The Spirit represents the collective essence of the Christmas spirits, signifying guidance, memory, and influence over personal transformation.""The Spirit serves as a guiding force in the narrative, helping Scrooge understand his history and the impact of his actions."', 'source_id': 'chunk-91614df5cb74cbe5e109a338a82041e9chunk-91572b3cd42786ba4cb2f180ca25cbf4chunk-e1f29eeadc1d8ab46dc8a0bbd3c56b64chunk-b0f459f5af1c3a5e0b92cbe4ee48b77bchunk-b2f98bc7abb0c67d4c86055c7fd72218chunk-da2472b4ef2a535b62908f14d0fb0ca9chunk-8590d9263cd2cd4fa583c432fc54e6c3chunk-19d72c57ae3408758b18d2568e86dc6bchunk-43c9bee23adfa77aa9dedd22401bba7dchunk-bb21d58d36c6306fd8810ddd51c4a971chunk-503f0bfa5453467c7c61d160a3540ecachunk-f1a4fbcf1ed86864b9bfd5e8dba4c683'} -2024-10-30 05:09:34,743 - lightrag - INFO - get_node:query:MATCH (n:`WINTER DAY`) RETURN n:result: -2024-10-30 05:09:34,881 - lightrag - INFO - _do_upsert:query: - MERGE (n:`WINTER DAY`) - SET n += $properties - RETURN n - :result:{'entity_type': '"EVENT"', 'description': '"The Winter Day signifies the seasonal setting during Scrooge\'s journey through his memories, highlighting a clear, cold atmosphere filled with nostalgia.""The winter day serves as the setting for Scrooge\'s journey with the Ghost, representing a time for reflection and nostalgia."', 'source_id': 'chunk-bb21d58d36c6306fd8810ddd51c4a971'} -2024-10-30 05:09:35,021 - lightrag - INFO - get_node:query:MATCH (n:`MARKET-TOWN`) RETURN n:result: -2024-10-30 05:09:35,159 - lightrag - INFO - _do_upsert:query: - MERGE (n:`MARKET-TOWN`) - SET n += $properties - RETURN n - :result:{'entity_type': '"GEO"', 'description': '"The Market-Town is a nostalgic location from Scrooge\'s youth, evoking memories and emotions tied to his childhood.""The market-town appears in Scrooge\'s memories as a significant place from his childhood, representing a connection to his past."', 'source_id': 'chunk-bb21d58d36c6306fd8810ddd51c4a971'} -2024-10-30 05:09:35,434 - lightrag - INFO - _do_upsert:query: - MERGE (n:`BOYS`) - SET n += $properties - RETURN n - :result:{'entity_type': '"PERSON"', 'description': '"The boys are depicted as cheerful characters riding ponies, contributing to the joyful atmosphere and memories of Scrooge\'s past."', 'source_id': 'chunk-bb21d58d36c6306fd8810ddd51c4a971'} -2024-10-30 05:09:35,709 - lightrag - INFO - _do_upsert:query: - MERGE (n:`SHAGGY PONIES`) - SET n += $properties - RETURN n - :result:{'entity_type': '"GEO"', 'description': '"Shaggy ponies are mentioned as part of the scene, representing the innocent and playful aspects of Scrooge\'s childhood."', 'source_id': 'chunk-bb21d58d36c6306fd8810ddd51c4a971'} -2024-10-30 05:09:35,984 - lightrag - INFO - _do_upsert:query: - MERGE (n:`BRIDGE`) - SET n += $properties - RETURN n - :result:{'entity_type': '"GEO"', 'description': '"The bridge is a landmark in the market-town that Scrooge recognizes from his childhood, symbolizing a connection to his past."', 'source_id': 'chunk-bb21d58d36c6306fd8810ddd51c4a971'} -2024-10-30 05:09:36,261 - lightrag - INFO - _do_upsert:query: - MERGE (n:`CHURCH`) - SET n += $properties - RETURN n - :result:{'entity_type': '"GEO"', 'description': '"The church is another landmark in the market-town representing tradition and community significant to Scrooge\'s memories."', 'source_id': 'chunk-bb21d58d36c6306fd8810ddd51c4a971'} -2024-10-30 05:09:36,540 - lightrag - INFO - _do_upsert:query: - MERGE (n:`WINDING RIVER`) - SET n += $properties - RETURN n - :result:{'entity_type': '"GEO"', 'description': '"The winding river is part of the landscape Scrooge recalls, tying into his emotions of nostalgia and remembrance of home."', 'source_id': 'chunk-bb21d58d36c6306fd8810ddd51c4a971'} -2024-10-30 05:09:36,674 - lightrag - INFO - get_node:query:MATCH (n:`ALI BABA`) RETURN n:result: -2024-10-30 05:09:36,814 - lightrag - INFO - _do_upsert:query: - MERGE (n:`ALI BABA`) - SET n += $properties - RETURN n - :result:{'entity_type': '"PERSON"', 'description': '"Ali Baba is a character from a story recalled by Scrooge, representing memories of adventure and kindness during Christmas.""Ali Baba is mentioned as a character from a story that impacts Scrooge during his reflection on Christmas and childhood."', 'source_id': 'chunk-8590d9263cd2cd4fa583c432fc54e6c3'} -2024-10-30 05:09:36,954 - lightrag - INFO - get_node:query:MATCH (n:`VALENTINE`) RETURN n:result: -2024-10-30 05:09:37,091 - lightrag - INFO - _do_upsert:query: - MERGE (n:`VALENTINE`) - SET n += $properties - RETURN n - :result:{'entity_type': '"PERSON"', 'description': '"Valentine is mentioned as a character associated with Scrooge\'s childhood memories, indicating the depth of his nostalgia.""Valentine is referenced as a brother of a character, and his presence contributes to the holiday memories Scrooge recalls."', 'source_id': 'chunk-8590d9263cd2cd4fa583c432fc54e6c3'} -2024-10-30 05:09:37,223 - lightrag - INFO - get_node:query:MATCH (n:`ORSON`) RETURN n:result: -2024-10-30 05:09:37,364 - lightrag - INFO - _do_upsert:query: - MERGE (n:`ORSON`) - SET n += $properties - RETURN n - :result:{'entity_type': '"PERSON"', 'description': '"Orson is mentioned as another brother mentioned by Scrooge, recalling his childhood tales and adventures.""Orson, the wild brother of Valentine, is another figure from Scrooge\'s past, representing familial connections and memories."', 'source_id': 'chunk-8590d9263cd2cd4fa583c432fc54e6c3'} -2024-10-30 05:09:37,647 - lightrag - INFO - _do_upsert:query: - MERGE (n:`MANSION`) - SET n += $properties - RETURN n - :result:{'entity_type': '"GEO"', 'description': '"The Mansion is a large house described as being in a state of decay and neglect, serving as a setting for Scrooge\'s memories."', 'source_id': 'chunk-8590d9263cd2cd4fa583c432fc54e6c3'} -2024-10-30 05:09:37,922 - lightrag - INFO - _do_upsert:query: - MERGE (n:`CHILD`) - SET n += $properties - RETURN n - :result:{'entity_type': '"PERSON"', 'description': '"The Child is a solitary figure leaving in the school, representing loneliness and the emotions tied to Scrooge\'s memories of his younger self."', 'source_id': 'chunk-8590d9263cd2cd4fa583c432fc54e6c3'} -2024-10-30 05:09:38,054 - lightrag - INFO - get_node:query:MATCH (n:`ROBIN CRUSOE`) RETURN n:result: -2024-10-30 05:09:38,191 - lightrag - INFO - _do_upsert:query: - MERGE (n:`ROBIN CRUSOE`) - SET n += $properties - RETURN n - :result:{'entity_type': '"PERSON"', 'description': '"Robin Crusoe is a character from literature that Scrooge remembers fondly, illustrating his connection to stories of adventure and survival.""Robin Crusoe is a character referenced by Scrooge as part of his memories, signifying tales of adventure and nostalgia."', 'source_id': 'chunk-8590d9263cd2cd4fa583c432fc54e6c3'} -2024-10-30 05:09:38,324 - lightrag - INFO - get_node:query:MATCH (n:`FRIDAY`) RETURN n:result: -2024-10-30 05:09:38,468 - lightrag - INFO - _do_upsert:query: - MERGE (n:`FRIDAY`) - SET n += $properties - RETURN n - :result:{'entity_type': '"PERSON"', 'description': '"Friday is another character from a story mentioned by Scrooge during his nostalgic recollections of childhood.""Friday is another character from the story of Robin Crusoe, noted in Scrooge\'s memories, indicating the impact of literature on his nostalgia."', 'source_id': 'chunk-8590d9263cd2cd4fa583c432fc54e6c3'} -2024-10-30 05:09:38,731 - lightrag - INFO - _do_upsert:query: - MERGE (n:`THE PARROT`) - SET n += $properties - RETURN n - :result:{'entity_type': '"PERSON"', 'description': '"The Parrot is a character in Scrooge\'s memory tied to Robin Crusoe, representing Scrooge\'s whimsical recollections."', 'source_id': 'chunk-8590d9263cd2cd4fa583c432fc54e6c3'} -2024-10-30 05:09:38,881 - lightrag - INFO - get_node:query:MATCH (n:`DICK WILKINS`) RETURN n:result:"Dick Wilkins is Scrooge\'s fellow apprentice and close companion during his younger years, indicating camaraderie during their apprenticeship."', 'source_id': 'chunk-c6c248858d1b13ab7ee9ca13c1aeed6bchunk-8bc1edd983869352d14cf0886a9175a7'}> -2024-10-30 05:09:39,031 - lightrag - INFO - _do_upsert:query: - MERGE (n:`DICK WILKINS`) - SET n += $properties - RETURN n - :result:{'entity_type': '"PERSON"', 'description': '"Dick Wilkins is Ebenezer\'s fellow apprentice, with whom he shared a strong attachment during their youth.""Dick Wilkins is Scrooge\'s fellow apprentice and close companion during his younger years, indicating camaraderie during their apprenticeship.""Dick Wilkins is Scrooge\'s fellow apprentice, associated with Scrooge\'s past and the context of his earlier, more carefree life.""Dick Wilkins is a former apprentice of Scrooge, remembered fondly for his attachment to Scrooge."', 'source_id': 'chunk-c6c248858d1b13ab7ee9ca13c1aeed6bchunk-8bc1edd983869352d14cf0886a9175a7'} -2024-10-30 05:09:39,187 - lightrag - INFO - get_node:query:MATCH (n:`THE CITY`) RETURN n:result:"The City represents the bustling urban environment where Scrooge reflects on his past, filled with activity and shadowy figures.""The City, from which Scrooge is transported, represents his past life and is contrasted with the open country road that signifies his memories."', 'source_id': 'chunk-bb21d58d36c6306fd8810ddd51c4a971chunk-c6c248858d1b13ab7ee9ca13c1aeed6bchunk-74e2466de2f67fd710ef2f20c0a8d9e0'}> -2024-10-30 05:09:39,327 - lightrag - INFO - _do_upsert:query: - MERGE (n:`THE CITY`) - SET n += $properties - RETURN n - :result:{'entity_type': '"GEO"', 'description': '"The City provides the backdrop for Scrooge\'s story, representing the bustling environment that underscores his loneliness and detachment from society.""The City represents the bustling urban environment where Scrooge reflects on his past, filled with activity and shadowy figures.""The City, from which Scrooge is transported, represents his past life and is contrasted with the open country road that signifies his memories.""The City refers to the broader urban environment in which Scrooge operates and signifies the societal norms and attitudes towards Christmas.""The City represents the bustling urban environment where Scrooge\'s memories unfold, highlighting the contrast between his past and present."', 'source_id': 'chunk-74e2466de2f67fd710ef2f20c0a8d9e0chunk-c6c248858d1b13ab7ee9ca13c1aeed6bchunk-bb21d58d36c6306fd8810ddd51c4a971chunk-94bea83e7153fc2064aa382b494936a1'} -2024-10-30 05:09:39,608 - lightrag - INFO - _do_upsert:query: - MERGE (n:`HOME`) - SET n += $properties - RETURN n - :result:{'entity_type': '"CONCEPT"', 'description': '"Home represents the physical and emotional center for the family, where the Christmas celebration takes place.""Home symbolizes warmth, safety, and family connection, representing what Scrooge yearns for but has lost in his life."', 'source_id': 'chunk-c6c248858d1b13ab7ee9ca13c1aeed6bchunk-da2472b4ef2a535b62908f14d0fb0ca9'} -2024-10-30 05:09:39,877 - lightrag - INFO - _do_upsert:query: - MERGE (n:`COACH`) - SET n += $properties - RETURN n - :result:{'entity_type': '"CONCEPT"', 'description': '"The Coach is a means of transport that signifies the transition from Scrooge\'s lonely past to the possibility of companionship and warmth."', 'source_id': 'chunk-c6c248858d1b13ab7ee9ca13c1aeed6b'} -2024-10-30 05:09:40,145 - lightrag - INFO - _do_upsert:query: - MERGE (n:`THE SCHOOL`) - SET n += $properties - RETURN n - :result:{'entity_type': '"ORGANIZATION"', 'description': '"The School represents the institutional aspect of Scrooge\'s childhood, contrasting with the warmth and love represented by Fan."', 'source_id': 'chunk-c6c248858d1b13ab7ee9ca13c1aeed6b'} -2024-10-30 05:09:40,419 - lightrag - INFO - _do_upsert:query: - MERGE (n:`COLD`) - SET n += $properties - RETURN n - :result:{'entity_type': '"CONCEPT"', 'description': '"Cold symbolizes the emotional detachment and isolation present in Scrooge\'s life, contrasting with the warmth of family and connection that he longs for."', 'source_id': 'chunk-c6c248858d1b13ab7ee9ca13c1aeed6b'} -2024-10-30 05:09:40,701 - lightrag - INFO - _do_upsert:query: - MERGE (n:`EVENING`) - SET n += $properties - RETURN n - :result:{'entity_type': '"EVENT"', 'description': '"Evening represents a time of transition and reflection as Scrooge recalls his past and seeks transformation."', 'source_id': 'chunk-c6c248858d1b13ab7ee9ca13c1aeed6b'} -2024-10-30 05:09:40,836 - lightrag - INFO - get_node:query:MATCH (n:`THE PARTY`) RETURN n:result:"The Party refers to the potential gathering for the funeral, which the characters consider with amusement rather than sincerity."', 'source_id': 'chunk-94bea83e7153fc2064aa382b494936a1chunk-f1a4fbcf1ed86864b9bfd5e8dba4c683'}> -2024-10-30 05:09:40,977 - lightrag - INFO - _do_upsert:query: - MERGE (n:`THE PARTY`) - SET n += $properties - RETURN n - :result:{'entity_type': '"EVENT"', 'description': '"The Party is a festive gathering that celebrates Christmas, filled with games and joyful unity among friends and family.""The Party refers to the potential gathering for the funeral, which the characters consider with amusement rather than sincerity.""The Party refers to festive gatherings that Fezziwig hosts, showcasing joy and camaraderie during the Christmas season."', 'source_id': 'chunk-c6c248858d1b13ab7ee9ca13c1aeed6bchunk-94bea83e7153fc2064aa382b494936a1chunk-f1a4fbcf1ed86864b9bfd5e8dba4c683'} -2024-10-30 05:09:41,115 - lightrag - INFO - get_node:query:MATCH (n:`THE CHILDREN`) RETURN n:result: -2024-10-30 05:09:41,253 - lightrag - INFO - _do_upsert:query: - MERGE (n:`THE CHILDREN`) - SET n += $properties - RETURN n - :result:{'entity_type': '"PERSON"', 'description': '"The Children are a group experiencing feelings of wonder and delight during the gift-giving scene, highlighting innocence and joy.""The Children are a lively group in the matron\'s home, symbolizing joy, chaos, and familial warmth.""The Children in the Cratchit family represent innocence and curiosity, highlighting the effects of their family\'s struggles on their happiness.""The Children refer to the group of young individuals filled with wonder and delight during the Christmas festivities.""The Children serve as symbols of innocence and joy, representing the untainted happiness of childhood that Scrooge longs to reconnect with.""The children are the offspring of the Cratchit family, showcasing innocence and joy during the Christmas celebrations, reacting with laughter and cheer."', 'source_id': 'chunk-83ac129dc9b56f84c46760d153d68e93chunk-c6c248858d1b13ab7ee9ca13c1aeed6bchunk-19d72c57ae3408758b18d2568e86dc6bchunk-da2472b4ef2a535b62908f14d0fb0ca9chunk-54bdd22db1f84a965b5f4c06c9216d8d'} -2024-10-30 05:09:41,533 - lightrag - INFO - _do_upsert:query: - MERGE (n:`A COACH TO BRING YOU HOME`) - SET n += $properties - RETURN n - :result:{'entity_type': '"CONCEPT"', 'description': '"A Coach to Bring You Home symbolizes the hope and opportunity for reconnection and warmth in Scrooge\'s life."', 'source_id': 'chunk-c6c248858d1b13ab7ee9ca13c1aeed6b'} -2024-10-30 05:09:41,806 - lightrag - INFO - _do_upsert:query: - MERGE (n:`THE DANCERS`) - SET n += $properties - RETURN n - :result:{'entity_type': '"ORGANIZATION"', 'description': '"The Dancers represent the lively group of people celebrating and participating in the festivities organized by Fezziwig."', 'source_id': 'chunk-8bc1edd983869352d14cf0886a9175a7'} -2024-10-30 05:09:41,940 - lightrag - INFO - get_node:query:MATCH (n:`THE FIDDLER`) RETURN n:result: -2024-10-30 05:09:42,085 - lightrag - INFO - _do_upsert:query: - MERGE (n:`THE FIDDLER`) - SET n += $properties - RETURN n - :result:{'entity_type': '"PERSON"', 'description': '"The Fiddler is a musician who plays at Fezziwig\'s celebration, providing music for the dancers and contributing to the festive atmosphere.""The Fiddler is a musician who plays during the festivities, contributing to the atmosphere of joy and celebration."', 'source_id': 'chunk-8bc1edd983869352d14cf0886a9175a7'} -2024-10-30 05:09:42,354 - lightrag - INFO - _do_upsert:query: - MERGE (n:`THE THREE MISS FEZZIWIGS`) - SET n += $properties - RETURN n - :result:{'entity_type': '"PERSON"', 'description': '"The Three Miss Fezziwigs are jovial participants in the celebration, characterized by their lovable demeanor."', 'source_id': 'chunk-8bc1edd983869352d14cf0886a9175a7'} -2024-10-30 05:09:42,626 - lightrag - INFO - _do_upsert:query: - MERGE (n:`YOUNG FOLLOWERS`) - SET n += $properties - RETURN n - :result:{'entity_type': '"ORGANIZATION"', 'description': '"The Young Followers consist of several young men and women who are employed in Fezziwig\'s business and participate in the festivities."', 'source_id': 'chunk-8bc1edd983869352d14cf0886a9175a7'} -2024-10-30 05:09:42,757 - lightrag - INFO - get_node:query:MATCH (n:`THE HOUSEMAID`) RETURN n:result: -2024-10-30 05:09:42,896 - lightrag - INFO - _do_upsert:query: - MERGE (n:`THE HOUSEMAID`) - SET n += $properties - RETURN n - :result:{'entity_type': '"PERSON"', 'description': '"The Housemaid is a character present during the celebrations, contributing to the lively atmosphere of the evening.""The Housemaid is mentioned as part of the domestic staff involved in the celebration, contributing to the jovial atmosphere."', 'source_id': 'chunk-8bc1edd983869352d14cf0886a9175a7'} -2024-10-30 05:09:43,026 - lightrag - INFO - get_node:query:MATCH (n:`THE COOK`) RETURN n:result: -2024-10-30 05:09:43,163 - lightrag - INFO - _do_upsert:query: - MERGE (n:`THE COOK`) - SET n += $properties - RETURN n - :result:{'entity_type': '"PERSON"', 'description': '"The Cook is another character involved in the celebrations, participating in the festivities alongside other guests.""The Cook is part of the household and participates in the festive gathering, alongside other staff."', 'source_id': 'chunk-8bc1edd983869352d14cf0886a9175a7'} -2024-10-30 05:09:43,296 - lightrag - INFO - get_node:query:MATCH (n:`THE BAKER`) RETURN n:result: -2024-10-30 05:09:43,439 - lightrag - INFO - _do_upsert:query: - MERGE (n:`THE BAKER`) - SET n += $properties - RETURN n - :result:{'entity_type': '"PERSON"', 'description': '"The Baker is a cousin to the housemaid, indicating the interconnectedness of the household staff during the festivities.""The Baker is related to the Housemaid and present during the celebrations, adding to the communal aspect of the event."', 'source_id': 'chunk-8bc1edd983869352d14cf0886a9175a7'} -2024-10-30 05:09:43,705 - lightrag - INFO - _do_upsert:query: - MERGE (n:`THE BOY FROM OVER THE WAY`) - SET n += $properties - RETURN n - :result:{'entity_type': '"PERSON"', 'description': '"The Boy from Over the Way is a humorous character trying to hide behind another participant, showcasing the inclusiveness of the celebrations."', 'source_id': 'chunk-8bc1edd983869352d14cf0886a9175a7'} -2024-10-30 05:09:43,972 - lightrag - INFO - _do_upsert:query: - MERGE (n:`THE GIRL FROM NEXT DOOR`) - SET n += $properties - RETURN n - :result:{'entity_type': '"PERSON"', 'description': '"The Girl from Next Door is referenced as hiding from the Boy, illustrating the interactions during the event."', 'source_id': 'chunk-8bc1edd983869352d14cf0886a9175a7'} -2024-10-30 05:09:44,108 - lightrag - INFO - get_node:query:MATCH (n:`DICK`) RETURN n:result: -2024-10-30 05:09:44,247 - lightrag - INFO - _do_upsert:query: - MERGE (n:`DICK`) - SET n += $properties - RETURN n - :result:{'entity_type': '"PERSON"', 'description': '"Dick is a character from Scrooge\'s past, reminisced about during the scene, representing the camaraderie shared during the ball.""Dick is associated with Scrooge\'s former self, evoking nostalgic memories as Scrooge witnesses the past."', 'source_id': 'chunk-b2f98bc7abb0c67d4c86055c7fd72218'} -2024-10-30 05:09:44,380 - lightrag - INFO - get_node:query:MATCH (n:`THE GHOST OF CHRISTMAS PAST`) RETURN n:result: -2024-10-30 05:09:44,518 - lightrag - INFO - _do_upsert:query: - MERGE (n:`THE GHOST OF CHRISTMAS PAST`) - SET n += $properties - RETURN n - :result:{'entity_type': '"EVENT"', 'description': '"The Ghost of Christmas Past is a supernatural entity that allows Scrooge to revisit and reflect on his previous life experiences.""The Ghost of Christmas Past is a supernatural entity that shows Scrooge moments from his past, eliciting reflection and emotion.""The Ghost of Christmas Past represents Scrooge\'s history and helps him confront his former self and decisions made in life."', 'source_id': 'chunk-90b95db5c53e4364a6bee36b7aa4d70fchunk-b2f98bc7abb0c67d4c86055c7fd72218'} -2024-10-30 05:09:44,649 - lightrag - INFO - get_node:query:MATCH (n:`THE DOMESTIC BALL`) RETURN n:result: -2024-10-30 05:09:44,783 - lightrag - INFO - _do_upsert:query: - MERGE (n:`THE DOMESTIC BALL`) - SET n += $properties - RETURN n - :result:{'entity_type': '"EVENT"', 'description': '"The Domestic Ball is a joyful celebration organized by Fezziwig, where guests enjoy dancing and merry exchanges.""The Domestic Ball represents a joyful gathering, fostering a sense of community and happiness among the participants."', 'source_id': 'chunk-b2f98bc7abb0c67d4c86055c7fd72218'} -2024-10-30 05:09:44,916 - lightrag - INFO - get_node:query:MATCH (n:`THE TWO APPRENTICES`) RETURN n:result: -2024-10-30 05:09:45,053 - lightrag - INFO - _do_upsert:query: - MERGE (n:`THE TWO APPRENTICES`) - SET n += $properties - RETURN n - :result:{'entity_type': '"PERSON"', 'description': '"The Two Apprentices are characters from Fezziwig\'s establishment who express gratitude and admiration for Fezziwig\'s positive influence during the Domestic Ball.""The Two Apprentices are characters present at the Domestic Ball, who express gratitude and admiration for Fezziwig after the event."', 'source_id': 'chunk-b2f98bc7abb0c67d4c86055c7fd72218'} -2024-10-30 05:09:45,325 - lightrag - INFO - _do_upsert:query: - MERGE (n:`THE GOLDEN IDOL`) - SET n += $properties - RETURN n - :result:{'entity_type': '"CONCEPT"', 'description': '"The Golden Idol symbolizes materialism and the pursuit of wealth, indicating a shift in Scrooge\'s values over time."', 'source_id': 'chunk-b2f98bc7abb0c67d4c86055c7fd72218'} -2024-10-30 05:09:45,604 - lightrag - INFO - _do_upsert:query: - MERGE (n:`THE PRIME OF LIFE`) - SET n += $properties - RETURN n - :result:{'entity_type': '"EVENT"', 'description': '"The Prime of Life refers to a phase in Scrooge\'s youth when he was more carefree before becoming hardened by greed."', 'source_id': 'chunk-b2f98bc7abb0c67d4c86055c7fd72218'} -2024-10-30 05:09:45,870 - lightrag - INFO - _do_upsert:query: - MERGE (n:`THE MOURNING DRESS`) - SET n += $properties - RETURN n - :result:{'entity_type': '"CONCEPT"', 'description': '"The Mourning Dress symbolizes loss and separation, highlighting the emotional distance between Scrooge and his former love."', 'source_id': 'chunk-b2f98bc7abb0c67d4c86055c7fd72218'} -2024-10-30 05:09:46,144 - lightrag - INFO - _do_upsert:query: - MERGE (n:`THE BEAUTIFUL YOUNG GIRL`) - SET n += $properties - RETURN n - :result:{'entity_type': '"PERSON"', 'description': '"The Beautiful Young Girl is a figure from Scrooge\'s past, representing lost opportunities and innocence."', 'source_id': 'chunk-54bdd22db1f84a965b5f4c06c9216d8d'} -2024-10-30 05:09:46,416 - lightrag - INFO - _do_upsert:query: - MERGE (n:`THE COMELY MATRON`) - SET n += $properties - RETURN n - :result:{'entity_type': '"PERSON"', 'description': '"The Comely Matron is the grown-up version of the Beautiful Young Girl, emphasizing change and the passage of time."', 'source_id': 'chunk-54bdd22db1f84a965b5f4c06c9216d8d'} -2024-10-30 05:09:46,547 - lightrag - INFO - get_node:query:MATCH (n:`CHRISTMAS TOYS AND PRESENTS`) RETURN n:result: -2024-10-30 05:09:46,687 - lightrag - INFO - _do_upsert:query: - MERGE (n:`CHRISTMAS TOYS AND PRESENTS`) - SET n += $properties - RETURN n - :result:{'entity_type': '"EVENT"', 'description': '"Christmas Toys and Presents are associated with familial love and joy, as they arrive with the father, enhancing the holiday spirit.""Christmas Toys and Presents are associated with joy and celebration, marking the festive occasion and the love shared among family.""Christmas Toys and Presents signify the spirit of giving and the excitement that surrounds the holiday season, especially for children."', 'source_id': 'chunk-54bdd22db1f84a965b5f4c06c9216d8dchunk-da2472b4ef2a535b62908f14d0fb0ca9'} -2024-10-30 05:09:46,956 - lightrag - INFO - _do_upsert:query: - MERGE (n:`THE ROOM`) - SET n += $properties - RETURN n - :result:{'entity_type': '"GEO"', 'description': '"The Room is described as a cozy, comfortable setting where the comely matron and her children interact during festive times."', 'source_id': 'chunk-54bdd22db1f84a965b5f4c06c9216d8d'} -2024-10-30 05:09:47,221 - lightrag - INFO - _do_upsert:query: - MERGE (n:`THE WINTER FIRE`) - SET n += $properties - RETURN n - :result:{'entity_type': '"EVENT"', 'description': '"The Winter Fire represents warmth and comfort in the room where the matron and children gather, enhancing the festive atmosphere."', 'source_id': 'chunk-54bdd22db1f84a965b5f4c06c9216d8d'} -2024-10-30 05:09:47,354 - lightrag - INFO - get_node:query:MATCH (n:`THE FATHER`) RETURN n:result: -2024-10-30 05:09:47,492 - lightrag - INFO - _do_upsert:query: - MERGE (n:`THE FATHER`) - SET n += $properties - RETURN n - :result:{'entity_type': '"PERSON"', 'description': '"The Father is a character who arrives home with Christmas presents, symbolizing familial joy and festive spirit.""The Father is a character who returns home and is greeted with excitement, embodying family warmth and joy during Christmas celebrations.""The Father is a character who returns home with presents, symbolizing the joy of family and the spirit of giving during Christmas."', 'source_id': 'chunk-54bdd22db1f84a965b5f4c06c9216d8dchunk-da2472b4ef2a535b62908f14d0fb0ca9'} -2024-10-30 05:09:47,765 - lightrag - INFO - _do_upsert:query: - MERGE (n:`THE YOUNG BRIGANDS`) - SET n += $properties - RETURN n - :result:{'entity_type': '"PERSON"', 'description': '"The Young Brigands are a playful group of children engaged in merriment and mischief during the festive celebration."', 'source_id': 'chunk-54bdd22db1f84a965b5f4c06c9216d8d'} -2024-10-30 05:09:48,028 - lightrag - INFO - _do_upsert:query: - MERGE (n:`THE DOWERLESS GIRL`) - SET n += $properties - RETURN n - :result:{'entity_type': '"PERSON"', 'description': '"The Dowerless Girl is a symbolic representation of the limitations in relationships based on social and economic status as reflected in Scrooge\'s dialogue."', 'source_id': 'chunk-54bdd22db1f84a965b5f4c06c9216d8d'} -2024-10-30 05:09:48,291 - lightrag - INFO - _do_upsert:query: - MERGE (n:`THE MEMORY`) - SET n += $properties - RETURN n - :result:{'entity_type': '"CONCEPT"', 'description': '"The Memory refers to the recollections of past relationships and feelings that haunt Scrooge as he contemplates his choices."', 'source_id': 'chunk-54bdd22db1f84a965b5f4c06c9216d8d'} -2024-10-30 05:09:48,560 - lightrag - INFO - _do_upsert:query: - MERGE (n:`HAPPINESS`) - SET n += $properties - RETURN n - :result:{'entity_type': '"CONCEPT"', 'description': '"Happiness signifies the conflicting emotions Scrooge feels regarding past love and the reality of his current life choices."', 'source_id': 'chunk-54bdd22db1f84a965b5f4c06c9216d8d'} -2024-10-30 05:09:48,832 - lightrag - INFO - _do_upsert:query: - MERGE (n:`HOPE`) - SET n += $properties - RETURN n - :result:{'entity_type': '"CONCEPT"', 'description': '"Hope emerges as a central theme in the characters\' lives, particularly through Caroline\'s reaction to news about the husband and the family\'s future.""Hope represents the aspirations and dreams that characters have, particularly in the context of the matron\'s optimistic nature."', 'source_id': 'chunk-83ac129dc9b56f84c46760d153d68e93chunk-54bdd22db1f84a965b5f4c06c9216d8d'} -2024-10-30 05:09:48,967 - lightrag - INFO - get_node:query:MATCH (n:`BELLE`) RETURN n:result: -2024-10-30 05:09:49,103 - lightrag - INFO - _do_upsert:query: - MERGE (n:`BELLE`) - SET n += $properties - RETURN n - :result:{'entity_type': '"PERSON"', 'description': '"Belle is Scrooge\'s former love whose presence evokes strong feelings of longing and sorrow in Scrooge.""Belle is Scrooge\'s former love, evidence of care and affection, now mentioned in the context of Scrooge’s memories."', 'source_id': 'chunk-da2472b4ef2a535b62908f14d0fb0ca9'} -2024-10-30 05:09:49,378 - lightrag - INFO - _do_upsert:query: - MERGE (n:`THE OFFICE`) - SET n += $properties - RETURN n - :result:{'entity_type': '"ORGANIZATION"', 'description': '"The Office is Scrooge\'s workplace, signifying his past life and the memories associated with his business dealings.""The Office refers to Scrooge\'s workplace, emphasizing his isolation and the business-focused nature of his life.""The Office refers to the workplace where Scrooge and Bob Cratchit interact, highlighting the power dynamics and work-related tension."', 'source_id': 'chunk-91572b3cd42786ba4cb2f180ca25cbf4chunk-94bea83e7153fc2064aa382b494936a1chunk-da2472b4ef2a535b62908f14d0fb0ca9'} -2024-10-30 05:09:49,513 - lightrag - INFO - get_node:query:MATCH (n:`THE PORTER`) RETURN n:result: -2024-10-30 05:09:49,651 - lightrag - INFO - _do_upsert:query: - MERGE (n:`THE PORTER`) - SET n += $properties - RETURN n - :result:{'entity_type': '"PERSON"', 'description': '"The Porter is a character who becomes the target of playful affection from the children, showcasing innocence and chaos during celebrations.""The Porter is depicted as a defenseless character being playfully assaulted by the children during their festive excitement."', 'source_id': 'chunk-da2472b4ef2a535b62908f14d0fb0ca9'} -2024-10-30 05:09:49,922 - lightrag - INFO - _do_upsert:query: - MERGE (n:`THE BABY`) - SET n += $properties - RETURN n - :result:{'entity_type': '"PERSON"', 'description': '"The Baby is involved in a comical mishap concerning a doll\'s frying pan, symbolizing the innocence and curiosity of childhood."', 'source_id': 'chunk-da2472b4ef2a535b62908f14d0fb0ca9'} -2024-10-30 05:09:50,057 - lightrag - INFO - get_node:query:MATCH (n:`THE MOTHER`) RETURN n:result:"The Mother is a character associated with the family dynamics during the Christmas scene, though her actions are not explicitly detailed.""The Mother is depicted as a comely matron, who enjoys the laughter and chaos with her children, showing warmth and family value."', 'source_id': 'chunk-da2472b4ef2a535b62908f14d0fb0ca9chunk-83ac129dc9b56f84c46760d153d68e93chunk-54bdd22db1f84a965b5f4c06c9216d8d'}> -2024-10-30 05:09:50,197 - lightrag - INFO - _do_upsert:query: - MERGE (n:`THE MOTHER`) - SET n += $properties - RETURN n - :result:{'entity_type': '"PERSON"', 'description': '"The Mother exemplifies apprehension and hope regarding her husband\'s return, depicting the emotional burden of waiting and uncertainty.""The Mother is a character associated with the family dynamics during the Christmas scene, though her actions are not explicitly detailed.""The Mother is depicted as a comely matron, who enjoys the laughter and chaos with her children, showing warmth and family value.""The Mother is a character who exhibits anxiety and hope as she awaits her husband\'s return, embodying the emotional depth of family relations during hardship.""The Mother is a character who shares a tender moment with her husband and daughter, representing familial love and connection."', 'source_id': 'chunk-83ac129dc9b56f84c46760d153d68e93chunk-54bdd22db1f84a965b5f4c06c9216d8dchunk-da2472b4ef2a535b62908f14d0fb0ca9'} -2024-10-30 05:09:50,327 - lightrag - INFO - get_node:query:MATCH (n:`CITY`) RETURN n:result:"The City represents the urban setting where Scrooge witnesses the indifference of its inhabitants regarding his death.""The City represents the urban setting where Scrooge\'s transformation takes place, symbolizing the broader society impacted by his changes."', 'source_id': 'chunk-843b5b2f944c7413d9ca876e2e2f151fchunk-94bea83e7153fc2064aa382b494936a1chunk-02baee20cc9463dbe08170a8e1043e32'}> -2024-10-30 05:09:50,471 - lightrag - INFO - _do_upsert:query: - MERGE (n:`CITY`) - SET n += $properties - RETURN n - :result:{'entity_type': '"GEO"', 'description': '"The City refers to a generic location embodying the community and societal norms, with which Scrooge has a complex relationship.""The City represents the urban setting where Scrooge witnesses the indifference of its inhabitants regarding his death.""The City represents the urban setting where Scrooge\'s transformation takes place, symbolizing the broader society impacted by his changes.""The City serves as a backdrop where various scenes unfold, representing the hustle of life and economic concerns.""The City symbolizes the urban setting where Scrooge\'s transformation takes place, primarily depicting the contrast between Scrooge\'s isolation and the outer world filled with festivities."', 'source_id': 'chunk-02baee20cc9463dbe08170a8e1043e32chunk-94bea83e7153fc2064aa382b494936a1chunk-843b5b2f944c7413d9ca876e2e2f151f'} -2024-10-30 05:09:50,602 - lightrag - INFO - get_node:query:MATCH (n:`SPIRIT`) RETURN n:result:"The Spirit embodies the lessons of compassion and social responsibility, guiding Scrooge through his reflections and realizations.""The Spirit is the manifestation of Scrooge\'s past that guides him through his memories, representing his former self and the influence of time.""The Spirit represents a ghostly entity, guiding Scrooge through visions of potential future events and urging him to acknowledge societal issues.""The Spirit represents a supernatural entity guiding Scrooge through his reflections on life, death, and human emotions, prompting self-awareness.""The Spirit represents the embodiment of the Christmas present, personifying the themes of generosity and merriment."', 'source_id': 'chunk-bb21d58d36c6306fd8810ddd51c4a971chunk-83ac129dc9b56f84c46760d153d68e93chunk-e7637ff18c5ded77a68cce0a87883fadchunk-843b5b2f944c7413d9ca876e2e2f151fchunk-1aa50206d02ed89418f65f97c6441d1cchunk-02baee20cc9463dbe08170a8e1043e32'}> -2024-10-30 05:09:50,743 - lightrag - INFO - _do_upsert:query: - MERGE (n:`SPIRIT`) - SET n += $properties - RETURN n - :result:{'entity_type': '"EVENT"', 'description': '"Spirit represents the essence of Marley that is attempting to interact with Scrooge, indicating themes of afterlife and unresolved issues.""The Spirit embodies the lessons of compassion and social responsibility, guiding Scrooge through his reflections and realizations.""The Spirit is the manifestation of Scrooge\'s past that guides him through his memories, representing his former self and the influence of time.""The Spirit represents a ghostly entity, guiding Scrooge through visions of potential future events and urging him to acknowledge societal issues.""The Spirit represents a supernatural entity guiding Scrooge through his reflections on life, death, and human emotions, prompting self-awareness.""The Spirit represents the embodiment of the Christmas present, personifying the themes of generosity and merriment.""The Spirit refers to the Ghost of Christmas Present, which embodies the essence of the Christmas season and serves as a guide for Scrooge.""The Spirit represents a ghostly figure guiding Scrooge through reflections related to a death, illustrating lessons about life and mortality.""The Spirit represents a supernatural being guiding Scrooge through lessons about the consequences of his actions and the future.""The Spirit represents a supernatural entity guiding Scrooge and teaching him lessons about compassion and humanity."', 'source_id': 'chunk-e7637ff18c5ded77a68cce0a87883fadchunk-83ac129dc9b56f84c46760d153d68e93chunk-02baee20cc9463dbe08170a8e1043e32chunk-bb21d58d36c6306fd8810ddd51c4a971chunk-1aa50206d02ed89418f65f97c6441d1cchunk-843b5b2f944c7413d9ca876e2e2f151f'} -2024-10-30 05:09:50,878 - lightrag - INFO - get_node:query:MATCH (n:`MISTLETOE`) RETURN n:result: -2024-10-30 05:09:51,015 - lightrag - INFO - _do_upsert:query: - MERGE (n:`MISTLETOE`) - SET n += $properties - RETURN n - :result:{'entity_type': '"ORGANIZATION"', 'description': '"Mistletoe is a plant used as a Christmas decoration, symbolizing love and goodwill during the holiday season.""Mistletoe is a traditional plant used for decoration during Christmas, symbolizing joy and a festive spirit.""Mistletoe is described in the context of Christmas decorations, often used for kissing and holiday celebrations."', 'source_id': 'chunk-99b0ec7f7e006561352b5d65e849611dchunk-843b5b2f944c7413d9ca876e2e2f151f'} -2024-10-30 05:09:51,287 - lightrag - INFO - _do_upsert:query: - MERGE (n:`RED BERRIES`) - SET n += $properties - RETURN n - :result:{'entity_type': '"ORGANIZATION"', 'description': '"Red Berries are decorative elements commonly used during Christmas decorations, adding color and festivity.""Red Berries are festive decorations representing the colors of Christmas, enhancing the holiday atmosphere."', 'source_id': 'chunk-99b0ec7f7e006561352b5d65e849611dchunk-843b5b2f944c7413d9ca876e2e2f151f'} -2024-10-30 05:09:51,418 - lightrag - INFO - get_node:query:MATCH (n:`TURKEYS`) RETURN n:result:"Turkeys represent a common food item associated with the Christmas feast, highlighting the culinary aspects of the celebration."', 'source_id': 'chunk-843b5b2f944c7413d9ca876e2e2f151fchunk-99b0ec7f7e006561352b5d65e849611d'}> -2024-10-30 05:09:51,560 - lightrag - INFO - _do_upsert:query: - MERGE (n:`TURKEYS`) - SET n += $properties - RETURN n - :result:{'entity_type': '"ORGANIZATION"', 'description': '"Turkeys are described as part of a lavish spread that symbolizes the abundance and joy of the Christmas season.""Turkeys represent a common food item associated with the Christmas feast, highlighting the culinary aspects of the celebration.""Turkeys are food items prominently featured in Christmas meals, representing a festive celebration of the holiday.""Turkeys are part of the Christmas feast, symbolizing the abundance and sharing associated with the holiday."', 'source_id': 'chunk-99b0ec7f7e006561352b5d65e849611dchunk-843b5b2f944c7413d9ca876e2e2f151f'} -2024-10-30 05:09:51,696 - lightrag - INFO - get_node:query:MATCH (n:`POULTRY`) RETURN n:result: -2024-10-30 05:09:51,837 - lightrag - INFO - _do_upsert:query: - MERGE (n:`POULTRY`) - SET n += $properties - RETURN n - :result:{'entity_type': '"ORGANIZATION"', 'description': '"Poultry is another aspect of the Christmas feast, representing the various traditions of holiday meals.""Poultry refers to various birds used for Christmas meals, representing the culinary traditions of the holiday.""Poultry represents a variety of birds that are often prepared for Christmas dinners, enhancing the festive festivities."', 'source_id': 'chunk-99b0ec7f7e006561352b5d65e849611dchunk-843b5b2f944c7413d9ca876e2e2f151f'} -2024-10-30 05:09:52,108 - lightrag - INFO - _do_upsert:query: - MERGE (n:`MEAT`) - SET n += $properties - RETURN n - :result:{'entity_type': '"ORGANIZATION"', 'description': '"Meat refers to a significant part of the Christmas feast, further emphasizing the theme of abundance during the holiday.""Meat serves as a general representation of the food consumed during Christmas celebrations, contributing to the holiday meals."', 'source_id': 'chunk-99b0ec7f7e006561352b5d65e849611dchunk-843b5b2f944c7413d9ca876e2e2f151f'} -2024-10-30 05:09:52,238 - lightrag - INFO - get_node:query:MATCH (n:`SAUSAGES`) RETURN n:result: -2024-10-30 05:09:52,378 - lightrag - INFO - _do_upsert:query: - MERGE (n:`SAUSAGES`) - SET n += $properties - RETURN n - :result:{'entity_type': '"ORGANIZATION"', 'description': '"Sausages are festive foods that complement the traditional Christmas meal, adding to the variety of the feast.""Sausages are food items mentioned that may be served during Christmas festivities, adding to the variety of traditional foods.""Sausages contribute to the rich variety of foods present at the celebration, reflecting festive abundance."', 'source_id': 'chunk-99b0ec7f7e006561352b5d65e849611dchunk-843b5b2f944c7413d9ca876e2e2f151f'} -2024-10-30 05:09:52,651 - lightrag - INFO - _do_upsert:query: - MERGE (n:`OYSTERS`) - SET n += $properties - RETURN n - :result:{'entity_type': '"ORGANIZATION"', 'description': '"Oysters are considered delicacies that can enhance special occasions such as Christmas, indicating celebratory dining.""Oysters represent a delicacy often served during Christmas, symbolizing luxury and celebration."', 'source_id': 'chunk-99b0ec7f7e006561352b5d65e849611dchunk-843b5b2f944c7413d9ca876e2e2f151f'} -2024-10-30 05:09:52,924 - lightrag - INFO - _do_upsert:query: - MERGE (n:`PIES`) - SET n += $properties - RETURN n - :result:{'entity_type': '"ORGANIZATION"', 'description': '"Pies are a traditional dessert during the Christmas season, embodying the spirit of sharing and celebration.""Pies, often sweet, are traditional desserts served during Christmas, symbolizing festive dessert offerings."', 'source_id': 'chunk-99b0ec7f7e006561352b5d65e849611dchunk-843b5b2f944c7413d9ca876e2e2f151f'} -2024-10-30 05:09:53,194 - lightrag - INFO - _do_upsert:query: - MERGE (n:`PUDDINGS`) - SET n += $properties - RETURN n - :result:{'entity_type': '"ORGANIZATION"', 'description': '"Puddings are a classic Christmas dessert, symbolizing warmth and indulgence during the holiday.""Puddings are showcased as a traditional dessert during Christmas celebrations, central to holiday meals."', 'source_id': 'chunk-99b0ec7f7e006561352b5d65e849611dchunk-843b5b2f944c7413d9ca876e2e2f151f'} -2024-10-30 05:09:53,463 - lightrag - INFO - _do_upsert:query: - MERGE (n:`FRUIT`) - SET n += $properties - RETURN n - :result:{'entity_type': '"ORGANIZATION"', 'description': '"Fruit represents a staple part of the Christmas spread, emphasizing freshness and the joy of sharing.""Fruit represents the fresh produce that accompanies holiday meals, bringing color and variety to the Christmas table."', 'source_id': 'chunk-99b0ec7f7e006561352b5d65e849611dchunk-843b5b2f944c7413d9ca876e2e2f151f'} -2024-10-30 05:09:53,736 - lightrag - INFO - _do_upsert:query: - MERGE (n:`PUNCH`) - SET n += $properties - RETURN n - :result:{'entity_type': '"ORGANIZATION"', 'description': '"Punch is a festive beverage that is often served during Christmas celebrations, adding to the holiday spirit.""Punch refers to a festive drink that is often served at Christmas gatherings, contributing to the celebration."', 'source_id': 'chunk-99b0ec7f7e006561352b5d65e849611dchunk-843b5b2f944c7413d9ca876e2e2f151f'} -2024-10-30 05:09:54,006 - lightrag - INFO - _do_upsert:query: - MERGE (n:`ANTIQUE SCABBARD`) - SET n += $properties - RETURN n - :result:{'entity_type': '"ORGANIZATION"', 'description': '"The Antique Scabbard is a symbolic object seen on the Ghost, representing the notion of protection and history."', 'source_id': 'chunk-843b5b2f944c7413d9ca876e2e2f151f'} -2024-10-30 05:09:54,140 - lightrag - INFO - get_node:query:MATCH (n:`GREAT BRITAIN`) RETURN n:result: -2024-10-30 05:09:54,280 - lightrag - INFO - _do_upsert:query: - MERGE (n:`GREAT BRITAIN`) - SET n += $properties - RETURN n - :result:{'entity_type': '"GEO"', 'description': '"Great Britain is a location mentioned as having chimneys that appear to be catching fire and is the setting for a gloomy climate during Christmas time.""Great Britain is referenced as a location suffering from severe weather, which contrasts with the cheerful activities of its people during Christmas."', 'source_id': 'chunk-99b0ec7f7e006561352b5d65e849611d'} -2024-10-30 05:09:54,558 - lightrag - INFO - _do_upsert:query: - MERGE (n:`GROCERS'`) - SET n += $properties - RETURN n - :result:{'entity_type': '"ORGANIZATION"', 'description': '"Grocers\' is an organization described as nearly closed yet bustling with eager customers, showcasing a variety of goods typical for Christmas time."', 'source_id': 'chunk-99b0ec7f7e006561352b5d65e849611d'} -2024-10-30 05:09:54,835 - lightrag - INFO - _do_upsert:query: - MERGE (n:`PEOPLE`) - SET n += $properties - RETURN n - :result:{'entity_type': '"ORGANIZATION"', 'description': '"The People represent the community celebrating Christmas, exhibiting joy, humor, and eagerness amidst the dreary weather."', 'source_id': 'chunk-99b0ec7f7e006561352b5d65e849611d'} -2024-10-30 05:09:54,965 - lightrag - INFO - get_node:query:MATCH (n:`GEESE`) RETURN n:result:"Geese are included in the festive feast, representing the bounty and celebration associated with Christmas."', 'source_id': 'chunk-843b5b2f944c7413d9ca876e2e2f151fchunk-99b0ec7f7e006561352b5d65e849611d'}> -2024-10-30 05:09:55,103 - lightrag - INFO - _do_upsert:query: - MERGE (n:`GEESE`) - SET n += $properties - RETURN n - :result:{'entity_type': '"ORGANIZATION"', 'description': '"Geese are also traditional food items that may be included in Christmas feasts, adding to the holiday cheer.""Geese are another traditional food item during Christmas, contributing to the festive dining experiences.""Geese are included in the festive feast, representing the bounty and celebration associated with Christmas."', 'source_id': 'chunk-99b0ec7f7e006561352b5d65e849611dchunk-843b5b2f944c7413d9ca876e2e2f151f'} -2024-10-30 05:09:55,247 - lightrag - INFO - get_node:query:MATCH (n:`BRAWN`) RETURN n:result: -2024-10-30 05:09:55,386 - lightrag - INFO - _do_upsert:query: - MERGE (n:`BRAWN`) - SET n += $properties - RETURN n - :result:{'entity_type': '"ORGANIZATION"', 'description': '"Brawn is a type of meat included in the festive gathering, representing the richness of the Christmas feast.""Brawn refers to a traditional meat dish that may be part of Christmas festivities, highlighting culinary practices of the season."', 'source_id': 'chunk-99b0ec7f7e006561352b5d65e849611dchunk-843b5b2f944c7413d9ca876e2e2f151f'} -2024-10-30 05:09:55,657 - lightrag - INFO - _do_upsert:query: - MERGE (n:`CITY STREETS`) - SET n += $properties - RETURN n - :result:{'entity_type': '"GEO"', 'description': '"City Streets are referenced as the setting where people are celebrating and making music, contributing to the festive atmosphere of Christmas morning."', 'source_id': 'chunk-99b0ec7f7e006561352b5d65e849611d'} -2024-10-30 05:09:55,917 - lightrag - INFO - _do_upsert:query: - MERGE (n:`SNOW`) - SET n += $properties - RETURN n - :result:{'entity_type': '"GEO"', 'description': '"Snow is a significant element of the Christmas setting, emphasizing the winter atmosphere and contributing to the imagery of the holiday."', 'source_id': 'chunk-99b0ec7f7e006561352b5d65e849611d'} -2024-10-30 05:09:56,193 - lightrag - INFO - _do_upsert:query: - MERGE (n:`PARAPETS`) - SET n += $properties - RETURN n - :result:{'entity_type': '"GEO"', 'description': '"Parapets are structures that people use to engage in playful activities, such as throwing snowballs during Christmas celebrations."', 'source_id': 'chunk-99b0ec7f7e006561352b5d65e849611d'} -2024-10-30 05:09:56,464 - lightrag - INFO - _do_upsert:query: - MERGE (n:`SPIRIT OF CHRISTMAS PRESENT`) - SET n += $properties - RETURN n - :result:{'entity_type': '"PERSON"', 'description': '"The Spirit of Christmas Present embodies the spirit of generosity and compassion, showing Scrooge scenes of joy and festivity among the poor."', 'source_id': 'chunk-b0f459f5af1c3a5e0b92cbe4ee48b77b'} -2024-10-30 05:09:56,601 - lightrag - INFO - get_node:query:MATCH (n:`PETER CRATCHIT`) RETURN n:result:"Peter Cratchit is a member of the Cratchit family who participates in expressing their unity and happiness."', 'source_id': 'chunk-91572b3cd42786ba4cb2f180ca25cbf4chunk-b0f459f5af1c3a5e0b92cbe4ee48b77b'}> -2024-10-30 05:09:56,737 - lightrag - INFO - _do_upsert:query: - MERGE (n:`PETER CRATCHIT`) - SET n += $properties - RETURN n - :result:{'entity_type': '"PERSON"', 'description': '"Peter Cratchit is Bob\'s son, excited about dressing up and participating in the festive meal preparation.""Peter Cratchit is a member of the Cratchit family who participates in expressing their unity and happiness.""Peter Cratchit is Bob\'s son, excited about his clothing and preparing a festive meal, symbolizing youthful innocence and hope.""Peter Cratchit is one of Bob Cratchit\'s children, involved in family dynamics and interactions surrounding Tiny Tim.""Peter Cratchit is one of the Cratchit children, shown to be active and enthusiastic during the Christmas celebration.""Peter Cratchit is the eldest son of Bob and Mrs. Cratchit, who is portrayed as contemplative about his future as he considers a potential job opportunity."', 'source_id': 'chunk-91572b3cd42786ba4cb2f180ca25cbf4chunk-b0f459f5af1c3a5e0b92cbe4ee48b77bchunk-7e2e7ebcc19a53b399dc03aded4743e7chunk-19d72c57ae3408758b18d2568e86dc6b'} -2024-10-30 05:09:57,011 - lightrag - INFO - _do_upsert:query: - MERGE (n:`THE CRATCHIT HOUSEHOLD`) - SET n += $properties - RETURN n - :result:{'entity_type': '"ORGANIZATION"', 'description': '"The Cratchit Household represents a loving family unit, managing to find joy despite their financial struggles."', 'source_id': 'chunk-b0f459f5af1c3a5e0b92cbe4ee48b77b'} -2024-10-30 05:09:57,143 - lightrag - INFO - get_node:query:MATCH (n:`CHRISTMAS DAY`) RETURN n:result:"Christmas Day is a significant holiday that marks the time of Scrooge\'s revelation and intent to change.""Christmas Day is celebrated by the Cratchit family with a communal meal and expressions of joy and togetherness, highlighting the importance of family and gratitude.""Christmas Day serves as the central event around which the family gathers and reflects on their feelings towards Scrooge."', 'source_id': 'chunk-90b95db5c53e4364a6bee36b7aa4d70fchunk-19d72c57ae3408758b18d2568e86dc6bchunk-7e2e7ebcc19a53b399dc03aded4743e7chunk-b0f459f5af1c3a5e0b92cbe4ee48b77b'}> -2024-10-30 05:09:57,281 - lightrag - INFO - _do_upsert:query: - MERGE (n:`CHRISTMAS DAY`) - SET n += $properties - RETURN n - :result:{'entity_type': '"EVENT"', 'description': '"Christmas Day is a holiday during which the characters express joy and the significance of communal dining.""Christmas Day is a significant holiday that marks the time of Scrooge\'s revelation and intent to change.""Christmas Day is celebrated by the Cratchit family with a communal meal and expressions of joy and togetherness, highlighting the importance of family and gratitude.""Christmas Day serves as the central event around which the family gathers and reflects on their feelings towards Scrooge.""Christmas Day is portrayed as a day of celebration and gathering, emphasizing themes of togetherness and generosity.""Christmas Day serves as a central event for the gathering of the Cratchit family, filled with mixed feelings about their employer, Scrooge.""Christmas Day serves as the backdrop for Scrooge\'s transformation, representing joy, celebration, and new beginnings."', 'source_id': 'chunk-90b95db5c53e4364a6bee36b7aa4d70fchunk-b0f459f5af1c3a5e0b92cbe4ee48b77bchunk-7e2e7ebcc19a53b399dc03aded4743e7chunk-19d72c57ae3408758b18d2568e86dc6b'} -2024-10-30 05:09:57,549 - lightrag - INFO - _do_upsert:query: - MERGE (n:`THE GROCER`) - SET n += $properties - RETURN n - :result:{'entity_type': '"PERSON"', 'description': '"The Grocer is depicted as a welcoming figure who interacts with customers in a friendly manner, symbolizing community spirit."', 'source_id': 'chunk-b0f459f5af1c3a5e0b92cbe4ee48b77b'} -2024-10-30 05:09:57,682 - lightrag - INFO - get_node:query:MATCH (n:`THE PEOPLE`) RETURN n:result: -2024-10-30 05:09:57,819 - lightrag - INFO - _do_upsert:query: - MERGE (n:`THE PEOPLE`) - SET n += $properties - RETURN n - :result:{'entity_type': '"ORGANIZATION"', 'description': '"The People refer to the townsfolk whom Scrooge encounters, showcasing the communal spirit of Christmas.""The People refers to the inhabitants of the quarter, characterized by their desperate living conditions and societal challenges.""The People represent the townsfolk who come together in celebration during the Christmas season, highlighting communal joy and participation.""The People represent the various individuals Scrooge encounters during his joyful walk, symbolizing community and shared happiness."', 'source_id': 'chunk-b0f459f5af1c3a5e0b92cbe4ee48b77bchunk-8f738cb25d60a7dab782162d9d0a25edchunk-f1a4fbcf1ed86864b9bfd5e8dba4c683'} -2024-10-30 05:09:58,108 - lightrag - INFO - _do_upsert:query: - MERGE (n:`THE SPIRIT'S TORCH`) - SET n += $properties - RETURN n - :result:{'entity_type': '"TECHNOLOGY"', 'description': '"The Spirit\'s Torch is a unique tool used by the Spirit of Christmas Present to sprinkle blessings and create goodwill among people.""The Spirit\'s Torch symbolizes the joy and magic of the Christmas spirit, illuminating the family\'s happiness despite their hardships."', 'source_id': 'chunk-b0f459f5af1c3a5e0b92cbe4ee48b77bchunk-19d72c57ae3408758b18d2568e86dc6b'} -2024-10-30 05:09:58,405 - lightrag - INFO - _do_upsert:query: - MERGE (n:`THE BAKER'S SHOP`) - SET n += $properties - RETURN n - :result:{'entity_type': '"ORGANIZATION"', 'description': '"The Baker\'s Shop is a significant location where townspeople gather to procure their meals, indicating a hub of community activity."', 'source_id': 'chunk-b0f459f5af1c3a5e0b92cbe4ee48b77b'} -2024-10-30 05:09:58,538 - lightrag - INFO - get_node:query:MATCH (n:`DINNERS`) RETURN n:result: -2024-10-30 05:09:58,675 - lightrag - INFO - _do_upsert:query: - MERGE (n:`DINNERS`) - SET n += $properties - RETURN n - :result:{'entity_type': '"EVENT"', 'description': '"Dinners refer to the meals shared by families on Christmas Day, representing the joy and nourishment that bring people together.""Dinners represent the communal and familial gatherings that occur during Christmas, emphasized in the text as significant for enjoyment and sharing."', 'source_id': 'chunk-b0f459f5af1c3a5e0b92cbe4ee48b77b'} -2024-10-30 05:09:58,948 - lightrag - INFO - _do_upsert:query: - MERGE (n:`THE STREETS`) - SET n += $properties - RETURN n - :result:{'entity_type': '"GEO"', 'description': '"The Streets are the setting for the gatherings and interactions of townspeople during Christmas, showcasing the festive atmosphere."', 'source_id': 'chunk-b0f459f5af1c3a5e0b92cbe4ee48b77b'} -2024-10-30 05:09:59,216 - lightrag - INFO - _do_upsert:query: - MERGE (n:`THE SUBURBS`) - SET n += $properties - RETURN n - :result:{'entity_type': '"GEO"', 'description': '"The Suburbs are depicted as the area where the Spirit takes Scrooge to observe the lives of the less fortunate, emphasizing social issues."', 'source_id': 'chunk-b0f459f5af1c3a5e0b92cbe4ee48b77b'} -2024-10-30 05:09:59,493 - lightrag - INFO - _do_upsert:query: - MERGE (n:`THE NIGHT`) - SET n += $properties - RETURN n - :result:{'entity_type': '"EVENT"', 'description': '"The Night, particularly Christmas Eve, is framed as a time for reflection and celebration as families prepare for the festivities."', 'source_id': 'chunk-b0f459f5af1c3a5e0b92cbe4ee48b77b'} -2024-10-30 05:09:59,629 - lightrag - INFO - get_node:query:MATCH (n:`CRATCHIT FAMILY`) RETURN n:result:"The Cratchit Family is portrayed as a close-knit group who, despite their hardships, find joy and gratitude during the Christmas gathering.""The Cratchit Family is portrayed as a loving unit celebrating Christmas together, with various members actively participating in the festivities.""The Cratchit family represents a unit bound by love and resilience in the face of adversity, dealing with emotional and financial struggles."', 'source_id': 'chunk-83ac129dc9b56f84c46760d153d68e93chunk-503f0bfa5453467c7c61d160a3540ecachunk-7e2e7ebcc19a53b399dc03aded4743e7chunk-19d72c57ae3408758b18d2568e86dc6b'}> -2024-10-30 05:09:59,768 - lightrag - INFO - _do_upsert:query: - MERGE (n:`CRATCHIT FAMILY`) - SET n += $properties - RETURN n - :result:{'entity_type': '"ORGANIZATION"', 'description': '"The Cratchit Family consists of Bob, Mrs. Cratchit, and their children, embodying themes of family unity and contentment despite hardships.""The Cratchit Family is a close-knit family characterized by love and togetherness, celebrating Christmas with simple but joyful traditions.""The Cratchit Family is portrayed as a close-knit group who, despite their hardships, find joy and gratitude during the Christmas gathering.""The Cratchit Family is portrayed as a loving unit celebrating Christmas together, with various members actively participating in the festivities.""The Cratchit family represents a unit bound by love and resilience in the face of adversity, dealing with emotional and financial struggles.""The Cratchit Family is depicted as a warm and loving household celebrating Christmas together, with various members actively participating in the festivities."', 'source_id': 'chunk-7e2e7ebcc19a53b399dc03aded4743e7chunk-503f0bfa5453467c7c61d160a3540ecachunk-83ac129dc9b56f84c46760d153d68e93chunk-19d72c57ae3408758b18d2568e86dc6b'} -2024-10-30 05:09:59,903 - lightrag - INFO - get_node:query:MATCH (n:`MARTHA`) RETURN n:result: -2024-10-30 05:10:00,042 - lightrag - INFO - _do_upsert:query: - MERGE (n:`MARTHA`) - SET n += $properties - RETURN n - :result:{'entity_type': '"PERSON"', 'description': '"Martha is a poor apprentice at a milliner\'s and shares her experience with the family during their Christmas gathering, contributing to the family atmosphere.""Martha is the daughter in the Cratchit family, who makes a dramatic entrance to surprise her family, highlighting the family\'s closeness."', 'source_id': 'chunk-7e2e7ebcc19a53b399dc03aded4743e7chunk-19d72c57ae3408758b18d2568e86dc6b'} -2024-10-30 05:10:00,312 - lightrag - INFO - _do_upsert:query: - MERGE (n:`CRATCHIT CHRISTMAS DINNER`) - SET n += $properties - RETURN n - :result:{'entity_type': '"EVENT"', 'description': '"Cratchit Christmas Dinner is a festive occasion filled with joy, love, and togetherness as the family celebrates the holiday."', 'source_id': 'chunk-7e2e7ebcc19a53b399dc03aded4743e7'} -2024-10-30 05:10:00,445 - lightrag - INFO - get_node:query:MATCH (n:`THE GOOSE`) RETURN n:result: -2024-10-30 05:10:00,581 - lightrag - INFO - _do_upsert:query: - MERGE (n:`THE GOOSE`) - SET n += $properties - RETURN n - :result:{'entity_type': '"EVENT"', 'description': '"The Goose is a central dish enjoyed by the Cratchit family during their Christmas dinner, symbolizing abundance and celebration.""The Goose is a central element of the Cratchit Christmas dinner, representing abundance and the joy of the holiday as the family eagerly anticipates its serving.""The Goose is a central part of the Cratchit family Christmas dinner, which they celebrate with excitement and anticipation, symbolizing abundance and joy."', 'source_id': 'chunk-7e2e7ebcc19a53b399dc03aded4743e7chunk-503f0bfa5453467c7c61d160a3540eca'} -2024-10-30 05:10:00,851 - lightrag - INFO - _do_upsert:query: - MERGE (n:`THE YOUNG CRATCHITS`) - SET n += $properties - RETURN n - :result:{'entity_type': '"ORGANIZATION"', 'description': '"The Young Cratchits are the children in the Cratchit family who contribute to the lively atmosphere, expressing excitement and involvement in the Christmas celebrations."', 'source_id': 'chunk-7e2e7ebcc19a53b399dc03aded4743e7'} -2024-10-30 05:10:00,982 - lightrag - INFO - get_node:query:MATCH (n:`THE PUDDING`) RETURN n:result: -2024-10-30 05:10:01,116 - lightrag - INFO - _do_upsert:query: - MERGE (n:`THE PUDDING`) - SET n += $properties - RETURN n - :result:{'entity_type': '"EVENT"', 'description': '"The Pudding is a special dessert made by Mrs. Cratchit, described as hard and firm, and is a source of pride and excitement for the family.""The Pudding is a traditional dish prepared for Christmas, symbolizing festivity and the warmth of family gatherings.""The Pudding is a traditional dish served at the Cratchit Christmas dinner, symbolizing festive joy and family gatherings."', 'source_id': 'chunk-7e2e7ebcc19a53b399dc03aded4743e7chunk-503f0bfa5453467c7c61d160a3540ecachunk-90d5764e301321c087f5a8f78b73a145'} -2024-10-30 05:10:01,249 - lightrag - INFO - get_node:query:MATCH (n:`THE FIRE`) RETURN n:result: -2024-10-30 05:10:01,386 - lightrag - INFO - _do_upsert:query: - MERGE (n:`THE FIRE`) - SET n += $properties - RETURN n - :result:{'entity_type': '"EVENT"', 'description': '"The Fire represents warmth and comfort during the family gathering, enhancing the atmosphere of camaraderie.""The Fire represents warmth and comfort in the Cratchit household, inviting family members to gather around during their Christmas celebration."', 'source_id': 'chunk-7e2e7ebcc19a53b399dc03aded4743e7chunk-773d0df1dd25c356f7b771d780583e09'} -2024-10-30 05:10:01,522 - lightrag - INFO - get_node:query:MATCH (n:`THE DINNER`) RETURN n:result: -2024-10-30 05:10:01,659 - lightrag - INFO - _do_upsert:query: - MERGE (n:`THE DINNER`) - SET n += $properties - RETURN n - :result:{'entity_type': '"EVENT"', 'description': '"The Dinner is a festive event where the Cratchit family gathers to enjoy a meal, including a special goose and pudding, symbolizing their togetherness.""The Dinner is a social event characterized by laughter, music, and discussions about Scrooge, portraying a festive Christmas gathering."', 'source_id': 'chunk-773d0df1dd25c356f7b771d780583e09chunk-503f0bfa5453467c7c61d160a3540eca'} -2024-10-30 05:10:01,933 - lightrag - INFO - _do_upsert:query: - MERGE (n:`MISS BELINDA`) - SET n += $properties - RETURN n - :result:{'entity_type': '"PERSON"', 'description': '"Miss Belinda is a member of the Cratchit family who assists in the dinner preparations, specifically changing the plates."', 'source_id': 'chunk-503f0bfa5453467c7c61d160a3540eca'} -2024-10-30 05:10:02,205 - lightrag - INFO - _do_upsert:query: - MERGE (n:`THE FOUNDER OF THE FEAST`) - SET n += $properties - RETURN n - :result:{'entity_type': '"TITLE"', 'description': '"The Founder of the Feast refers to Scrooge, whom Bob Cratchit acknowledges during the Christmas dinner, signifying gratitude toward Scrooge\'s provision for the meal."', 'source_id': 'chunk-503f0bfa5453467c7c61d160a3540eca'} -2024-10-30 05:10:02,338 - lightrag - INFO - get_node:query:MATCH (n:`THE COUNTESS`) RETURN n:result: -2024-10-30 05:10:02,484 - lightrag - INFO - _do_upsert:query: - MERGE (n:`THE COUNTESS`) - SET n += $properties - RETURN n - :result:{'entity_type': '"PERSON"', 'description': '"The Countess is mentioned by Martha, indicating an encounter that highlights the social stratification and aspirations of the Cratchit family.""The Countess is referenced by Martha, showcasing her interaction with figures of higher social status, contrasting with the Cratchit family\'s situation."', 'source_id': 'chunk-19d72c57ae3408758b18d2568e86dc6b'} -2024-10-30 05:10:02,616 - lightrag - INFO - get_node:query:MATCH (n:`THE LORD`) RETURN n:result: -2024-10-30 05:10:02,749 - lightrag - INFO - _do_upsert:query: - MERGE (n:`THE LORD`) - SET n += $properties - RETURN n - :result:{'entity_type': '"PERSON"', 'description': '"The Lord is mentioned by Martha as someone she encountered, illustrating her experiences outside her family\'s struggles.""The Lord is referenced in Martha\'s account of her work, underscoring the contrast between the Cratchit family\'s modest means and the nobility."', 'source_id': 'chunk-19d72c57ae3408758b18d2568e86dc6b'} -2024-10-30 05:10:03,027 - lightrag - INFO - _do_upsert:query: - MERGE (n:`THE GATHERING`) - SET n += $properties - RETURN n - :result:{'entity_type': '"EVENT"', 'description': '"The Gathering refers to the collective event of the family coming together to celebrate Christmas, filled with warmth and camaraderie despite their struggles."', 'source_id': 'chunk-19d72c57ae3408758b18d2568e86dc6b'} -2024-10-30 05:10:03,157 - lightrag - INFO - get_node:query:MATCH (n:`THE LIGHTHOUSE`) RETURN n:result: -2024-10-30 05:10:03,291 - lightrag - INFO - _do_upsert:query: - MERGE (n:`THE LIGHTHOUSE`) - SET n += $properties - RETURN n - :result:{'entity_type': '"GEO"', 'description': '"The Lighthouse is a solitary structure standing on a reef, symbolizing hope and guidance amidst the tumultuous sea.""The Lighthouse serves as a solitary structure representing hope and guidance amid a stormy sea, populated by individuals celebrating Christmas."', 'source_id': 'chunk-91614df5cb74cbe5e109a338a82041e9'} -2024-10-30 05:10:03,424 - lightrag - INFO - get_node:query:MATCH (n:`THE SHIP`) RETURN n:result: -2024-10-30 05:10:03,558 - lightrag - INFO - _do_upsert:query: - MERGE (n:`THE SHIP`) - SET n += $properties - RETURN n - :result:{'entity_type': '"GEO"', 'description': '"The Ship is a vessel where the crew shares moments of kindness and reflection during Christmas, symbolizing unity and camaraderie.""The Ship is described as a vessel on the open sea, where the crew reflects on Christmas, showcasing camaraderie and a sense of belonging."', 'source_id': 'chunk-91614df5cb74cbe5e109a338a82041e9'} -2024-10-30 05:10:03,692 - lightrag - INFO - get_node:query:MATCH (n:`THE LAMPLIGHTER`) RETURN n:result: -2024-10-30 05:10:03,828 - lightrag - INFO - _do_upsert:query: - MERGE (n:`THE LAMPLIGHTER`) - SET n += $properties - RETURN n - :result:{'entity_type': '"PERSON"', 'description': '"The Lamplighter is a character who brings light to the street, symbolizing hope and joy as he dotting the dusky street with specks of light.""The Lamplighter is a character who fills the street with light, representing the warmth and joy of the holiday season."', 'source_id': 'chunk-91614df5cb74cbe5e109a338a82041e9'} -2024-10-30 05:10:04,096 - lightrag - INFO - _do_upsert:query: - MERGE (n:`THE MOOR`) - SET n += $properties - RETURN n - :result:{'entity_type': '"GEO"', 'description': '"The Moor is depicted as a bleak and desolate landscape, symbolizing the harsh conditions where miners live."', 'source_id': 'chunk-91614df5cb74cbe5e109a338a82041e9'} -2024-10-30 05:10:04,227 - lightrag - INFO - get_node:query:MATCH (n:`THE OLD MAN`) RETURN n:result: -2024-10-30 05:10:04,361 - lightrag - INFO - _do_upsert:query: - MERGE (n:`THE OLD MAN`) - SET n += $properties - RETURN n - :result:{'entity_type': '"PERSON"', 'description': '"The Old Man is a character who sings a Christmas song, providing a sense of tradition and warmth amidst the desolate environment.""The Old Man is portrayed as a figure of light and joy among his family, singing a Christmas song that connects generations."', 'source_id': 'chunk-91614df5cb74cbe5e109a338a82041e9'} -2024-10-30 05:10:04,496 - lightrag - INFO - get_node:query:MATCH (n:`THE HUT`) RETURN n:result: -2024-10-30 05:10:04,632 - lightrag - INFO - _do_upsert:query: - MERGE (n:`THE HUT`) - SET n += $properties - RETURN n - :result:{'entity_type': '"GEO"', 'description': '"The Hut is a place where miners and their families gather to celebrate Christmas, representing warmth and community.""The Hut is a shelter for the miners that provides warmth and a gathering space for family during the winter, serving as a symbol of refuge."', 'source_id': 'chunk-91614df5cb74cbe5e109a338a82041e9'} -2024-10-30 05:10:04,772 - lightrag - INFO - get_node:query:MATCH (n:`THE MINERS`) RETURN n:result: -2024-10-30 05:10:04,910 - lightrag - INFO - _do_upsert:query: - MERGE (n:`THE MINERS`) - SET n += $properties - RETURN n - :result:{'entity_type': '"ORGANIZATION"', 'description': '"The Miners are individuals who labor in the moor, showcasing their resilience and connection to Christmas despite their harsh living conditions.""The Miners refer to a group of laborers living in a bleak landscape, embodying the struggles and resilience of working-class life."', 'source_id': 'chunk-91614df5cb74cbe5e109a338a82041e9'} -2024-10-30 05:10:05,187 - lightrag - INFO - _do_upsert:query: - MERGE (n:`THE OFFICERS`) - SET n += $properties - RETURN n - :result:{'entity_type': '"ORGANIZATION"', 'description': '"The Officers are dark, ghostly figures aboard the ship, participating in the shared camaraderie of the Christmas spirit."', 'source_id': 'chunk-91614df5cb74cbe5e109a338a82041e9'} -2024-10-30 05:10:05,462 - lightrag - INFO - _do_upsert:query: - MERGE (n:`THE WAVE`) - SET n += $properties - RETURN n - :result:{'entity_type': '"GEO"', 'description': '"The Wave is described as thundering and raging, representing the overwhelming natural forces present in the sea setting."', 'source_id': 'chunk-91614df5cb74cbe5e109a338a82041e9'} -2024-10-30 05:10:05,598 - lightrag - INFO - get_node:query:MATCH (n:`STORM-BIRDS`) RETURN n:result: -2024-10-30 05:10:05,736 - lightrag - INFO - _do_upsert:query: - MERGE (n:`STORM-BIRDS`) - SET n += $properties - RETURN n - :result:{'entity_type': '"GEO"', 'description': '"Storm-Birds are creatures associated with the wild sea, symbolizing the untamed nature of the environment around the lighthouse.""Storm-Birds are depicted as creatures that rise and fall with the waves, symbolizing the harshness of the environment and the connection to the sea."', 'source_id': 'chunk-91614df5cb74cbe5e109a338a82041e9'} -2024-10-30 05:10:05,875 - lightrag - INFO - get_node:query:MATCH (n:`SCROOGE'S NIECE`) RETURN n:result:"Scrooge\'s niece is depicted as a joyful participant in the evening\'s festivities, engaging in games and music."', 'source_id': 'chunk-773d0df1dd25c356f7b771d780583e09chunk-43c9bee23adfa77aa9dedd22401bba7d'}> -2024-10-30 05:10:06,013 - lightrag - INFO - _do_upsert:query: - MERGE (n:`SCROOGE'S NIECE`) - SET n += $properties - RETURN n - :result:{'entity_type': '"PERSON"', 'description': '"Scrooge\'s Niece is a lively character who expresses indignation towards Scrooge\'s disdain for Christmas and embodies warmth and charm, showing affection and concern for family.""Scrooge\'s Niece is depicted as a beautiful and lively character who expresses strong opinions about her uncle Scrooge.""Scrooge\'s niece is depicted as a joyful participant in the evening\'s festivities, engaging in games and music.""Scrooge\'s niece is a central figure in the family gathering, enjoying the festivities and games, showing a loving and vibrant personality."', 'source_id': 'chunk-773d0df1dd25c356f7b771d780583e09chunk-43c9bee23adfa77aa9dedd22401bba7d'} -2024-10-30 05:10:06,150 - lightrag - INFO - get_node:query:MATCH (n:`TOPPER`) RETURN n:result:"Topper is a character who participates in the dinner and seems to have an interest in one of Scrooge\'s niece\'s sisters.""Topper is a guest at the Christmas party, representing the jovial and festive spirit of the gathering with Fred and Scrooge."', 'source_id': 'chunk-94bea83e7153fc2064aa382b494936a1chunk-773d0df1dd25c356f7b771d780583e09chunk-43c9bee23adfa77aa9dedd22401bba7d'}> -2024-10-30 05:10:06,291 - lightrag - INFO - _do_upsert:query: - MERGE (n:`TOPPER`) - SET n += $properties - RETURN n - :result:{'entity_type': '"PERSON"', 'description': '"Topper is a character known for his lively and mischievous behavior during the games at the festive gathering.""Topper is a character who participates in the dinner and seems to have an interest in one of Scrooge\'s niece\'s sisters.""Topper is a guest at the Christmas party, representing the jovial and festive spirit of the gathering with Fred and Scrooge.""Topper is a jovial character who participates in games and is known for his playful and somewhat roguish behavior during the festivities.""Topper is a member of Scrooge\'s Niece\'s social group, characterized by his playful manner and romantic interests, notably towards one of Scrooge\'s Niece\'s sisters.""Topper is one of Fred\'s friends who attends the Christmas gathering, contributing to the joyful atmosphere of the celebration."', 'source_id': 'chunk-773d0df1dd25c356f7b771d780583e09chunk-94bea83e7153fc2064aa382b494936a1chunk-43c9bee23adfa77aa9dedd22401bba7d'} -2024-10-30 05:10:06,427 - lightrag - INFO - get_node:query:MATCH (n:`SCROOGE'S NIECE'S SISTERS`) RETURN n:result: -2024-10-30 05:10:06,566 - lightrag - INFO - _do_upsert:query: - MERGE (n:`SCROOGE'S NIECE'S SISTERS`) - SET n += $properties - RETURN n - :result:{'entity_type': '"PERSON"', 'description': '"Scrooge\'s Niece\'s Sisters are a part of the family gathering, expressing their opinions and adding to the lively atmosphere with their laughter and good humor.""Scrooge\'s Niece\'s Sisters are part of the family gathering, contributing to the lively atmosphere and expressing opinions about Scrooge."', 'source_id': 'chunk-773d0df1dd25c356f7b771d780583e09'} -2024-10-30 05:10:06,701 - lightrag - INFO - get_node:query:MATCH (n:`THE PLUMP SISTER`) RETURN n:result:"The plump sister is a character involved in the games, specifically blind man\'s-buff, and captures Topper\'s attention during the festivities."', 'source_id': 'chunk-89777b838d5447c7bd1ec11282c4ee89chunk-43c9bee23adfa77aa9dedd22401bba7d'}> -2024-10-30 05:10:06,840 - lightrag - INFO - _do_upsert:query: - MERGE (n:`THE PLUMP SISTER`) - SET n += $properties - RETURN n - :result:{'entity_type': '"PERSON"', 'description': '"The Plump Sister is a character in the gathering who becomes the focus of Topper\'s playful advances during the games, contributing to the comedic aspects of the gathering.""The Plump Sister is depicted in a light-hearted and humorous context, illustrating the fun of Christmas gatherings.""The plump sister is a character involved in the games, specifically blind man\'s-buff, and captures Topper\'s attention during the festivities.""The Plump Sister is one of Scrooge\'s Niece\'s sisters, characterized by her bashfulness and her attempts to maintain decorum amidst the laughter."', 'source_id': 'chunk-773d0df1dd25c356f7b771d780583e09chunk-89777b838d5447c7bd1ec11282c4ee89chunk-43c9bee23adfa77aa9dedd22401bba7d'} -2024-10-30 05:10:07,121 - lightrag - INFO - _do_upsert:query: - MERGE (n:`DINNER`) - SET n += $properties - RETURN n - :result:{'entity_type': '"EVENT"', 'description': '"Dinner is the festive meal that is shared among the characters, symbolizing the warmth of family and celebration that contrasts with Scrooge\'s isolated demeanor."', 'source_id': 'chunk-773d0df1dd25c356f7b771d780583e09'} -2024-10-30 05:10:07,394 - lightrag - INFO - _do_upsert:query: - MERGE (n:`MERRIMENT`) - SET n += $properties - RETURN n - :result:{'entity_type': '"CONCEPT"', 'description': '"Merriment embodies the joy and celebration associated with the holiday season and the gathering of family and friends in the narrative.""Merriment refers to the joyful and festive atmosphere that the characters aim to create, opposing Scrooge\'s jaded perspective on social gatherings."', 'source_id': 'chunk-773d0df1dd25c356f7b771d780583e09chunk-e7637ff18c5ded77a68cce0a87883fad'} -2024-10-30 05:10:07,670 - lightrag - INFO - _do_upsert:query: - MERGE (n:`BLIND MAN'S BUFF`) - SET n += $properties - RETURN n - :result:{'entity_type': '"EVENT"', 'description': '"Blind Man\'s Buff is a traditional game played during the gathering, contributing to the festive atmosphere and interactions among the guests."', 'source_id': 'chunk-43c9bee23adfa77aa9dedd22401bba7d'} -2024-10-30 05:10:07,806 - lightrag - INFO - get_node:query:MATCH (n:`FORFEITS`) RETURN n:result: -2024-10-30 05:10:07,941 - lightrag - INFO - _do_upsert:query: - MERGE (n:`FORFEITS`) - SET n += $properties - RETURN n - :result:{'entity_type': '"EVENT"', 'description': '"Forfeits is another game played that allows participants to engage in fun activities, emphasizing the spirit of the gathering.""Forfeits is another social game played by the characters, emphasizing the playful nature of their Christmas celebration."', 'source_id': 'chunk-43c9bee23adfa77aa9dedd22401bba7d'} -2024-10-30 05:10:08,209 - lightrag - INFO - _do_upsert:query: - MERGE (n:`THE HARP`) - SET n += $properties - RETURN n - :result:{'entity_type': '"TECHNOLOGY"', 'description': '"The Harp is a musical instrument played by Scrooge\'s niece, contributing to the evening\'s entertainment and illustrating the family\'s musical talents."', 'source_id': 'chunk-43c9bee23adfa77aa9dedd22401bba7d'} -2024-10-30 05:10:08,340 - lightrag - INFO - get_node:query:MATCH (n:`CHRISTMAS HOLIDAYS`) RETURN n:result: -2024-10-30 05:10:08,474 - lightrag - INFO - _do_upsert:query: - MERGE (n:`CHRISTMAS HOLIDAYS`) - SET n += $properties - RETURN n - :result:{'entity_type': '"EVENT"', 'description': '"Christmas Holidays signify a time for celebration, reflection, and reconciliation, playing a critical role in Scrooge\'s transformation.""The Christmas Holidays serve as a crucial backdrop for the narrative, representing themes of generosity, family, and redemption."', 'source_id': 'chunk-e7637ff18c5ded77a68cce0a87883fad'} -2024-10-30 05:10:08,606 - lightrag - INFO - get_node:query:MATCH (n:`IGNORANCE`) RETURN n:result:"Ignorance is personified as a boy that symbolizes the dangers of ignoring social issues and the consequences of a lack of awareness."', 'source_id': 'chunk-02baee20cc9463dbe08170a8e1043e32chunk-e7637ff18c5ded77a68cce0a87883fad'}> -2024-10-30 05:10:08,744 - lightrag - INFO - _do_upsert:query: - MERGE (n:`IGNORANCE`) - SET n += $properties - RETURN n - :result:{'entity_type': '"CONCEPT"', 'description': '"Ignorance is personified as a boy shown to Scrooge by the Spirit, representing a societal issue that appeals for attention and change.""Ignorance is personified as a boy that symbolizes the dangers of ignoring social issues and the consequences of a lack of awareness.""Ignorance personifies a societal failing, depicted as a child, warning of the dangers of neglect and moral responsibility.""Ignorance refers to one of the two children presented by the Spirit, symbolizing societal neglect and the consequences of lack of awareness."', 'source_id': 'chunk-e7637ff18c5ded77a68cce0a87883fadchunk-02baee20cc9463dbe08170a8e1043e32'} -2024-10-30 05:10:08,878 - lightrag - INFO - get_node:query:MATCH (n:`WANT`) RETURN n:result: -2024-10-30 05:10:09,015 - lightrag - INFO - _do_upsert:query: - MERGE (n:`WANT`) - SET n += $properties - RETURN n - :result:{'entity_type': '"CONCEPT"', 'description': '"Want is depicted as a girl, representing the consequences of poverty and desire in society, warning against neglecting these issues.""Want is represented as the second child shown by the Spirit, symbolizing the dire social conditions and needs of the impoverished.""Want represents another societal failing, portrayed as a girl, symbolizing deprivation and yearning for basic needs."', 'source_id': 'chunk-e7637ff18c5ded77a68cce0a87883fadchunk-02baee20cc9463dbe08170a8e1043e32'} -2024-10-30 05:10:09,291 - lightrag - INFO - _do_upsert:query: - MERGE (n:`ALMS HOUSE`) - SET n += $properties - RETURN n - :result:{'entity_type': '"ORGANIZATION"', 'description': '"Alms House refers to a charitable institution visited by the Spirit, where the poor receive support and care."', 'source_id': 'chunk-e7637ff18c5ded77a68cce0a87883fad'} -2024-10-30 05:10:09,423 - lightrag - INFO - get_node:query:MATCH (n:`HOSPITAL`) RETURN n:result: -2024-10-30 05:10:09,560 - lightrag - INFO - _do_upsert:query: - MERGE (n:`HOSPITAL`) - SET n += $properties - RETURN n - :result:{'entity_type': '"ORGANIZATION"', 'description': '"Hospital signifies a place of healing and care, visited by the Spirit in the story.""The Hospital represents a location of care and compassion, highlighting the human condition and the need for kindness."', 'source_id': 'chunk-e7637ff18c5ded77a68cce0a87883fad'} -2024-10-30 05:10:09,694 - lightrag - INFO - get_node:query:MATCH (n:`GAOL`) RETURN n:result: -2024-10-30 05:10:09,830 - lightrag - INFO - _do_upsert:query: - MERGE (n:`GAOL`) - SET n += $properties - RETURN n - :result:{'entity_type': '"ORGANIZATION"', 'description': '"Gaol refers to a prison, illustrating the theme of social justice and the conditions of the impoverished in society.""The Gaol symbolizes imprisonment and despair, representing the societal failings and the need for mercy and understanding."', 'source_id': 'chunk-e7637ff18c5ded77a68cce0a87883fad'} -2024-10-30 05:10:10,104 - lightrag - INFO - _do_upsert:query: - MERGE (n:`TWELFTH NIGHT`) - SET n += $properties - RETURN n - :result:{'entity_type': '"EVENT"', 'description': '"Twelfth Night is a festive occasion celebrated in the story, showcasing family gatherings and merriment during the holiday season."', 'source_id': 'chunk-e7637ff18c5ded77a68cce0a87883fad'} -2024-10-30 05:10:10,238 - lightrag - INFO - get_node:query:MATCH (n:`MULLED WINE`) RETURN n:result: -2024-10-30 05:10:10,375 - lightrag - INFO - _do_upsert:query: - MERGE (n:`MULLED WINE`) - SET n += $properties - RETURN n - :result:{'entity_type': '"EVENT"', 'description': '"Mulled Wine is a festive drink mentioned in the context of celebration during the Christmas gathering.""Mulled Wine symbolizes warmth and cheer, often associated with celebrations during the holiday season, particularly in the context of family gatherings."', 'source_id': 'chunk-e7637ff18c5ded77a68cce0a87883fad'} -2024-10-30 05:10:10,646 - lightrag - INFO - _do_upsert:query: - MERGE (n:`PHANTOM`) - SET n += $properties - RETURN n - :result:{'entity_type': '"ORGANIZATION"', 'description': '"The Phantom is a representation of death and the unknown future, appearing to Scrooge with a mysterious and intimidating presence."', 'source_id': 'chunk-02baee20cc9463dbe08170a8e1043e32'} -2024-10-30 05:10:10,914 - lightrag - INFO - _do_upsert:query: - MERGE (n:`BUSINESS MEN`) - SET n += $properties - RETURN n - :result:{'entity_type': '"ORGANIZATION"', 'description': '"The business men are a group discussing Scrooge\'s death, reflecting society\'s indifference and the consequential nature of wealth."', 'source_id': 'chunk-02baee20cc9463dbe08170a8e1043e32'} -2024-10-30 05:10:11,045 - lightrag - INFO - get_node:query:MATCH (n:`THE DEAD MAN`) RETURN n:result: -2024-10-30 05:10:11,188 - lightrag - INFO - _do_upsert:query: - MERGE (n:`THE DEAD MAN`) - SET n += $properties - RETURN n - :result:{'entity_type': '"PERSON"', 'description': '"The Dead Man is mentioned as the previous owner of the items being appraised, embodying the consequences of greed and isolation.""The Dead man is the subject of discussion among the business men, representing Scrooge himself and the consequences of his life."', 'source_id': 'chunk-02baee20cc9463dbe08170a8e1043e32chunk-60fc063c79fc0d4acc91a57e79de04dc'} -2024-10-30 05:10:11,321 - lightrag - INFO - get_node:query:MATCH (n:`JACOB`) RETURN n:result: -2024-10-30 05:10:11,454 - lightrag - INFO - _do_upsert:query: - MERGE (n:`JACOB`) - SET n += $properties - RETURN n - :result:{'entity_type': '"PERSON"', 'description': '"Jacob is Scrooge\'s old partner whose death is acknowledged, influencing Scrooge\'s reflections on his own life and future.""Jacob is referenced as Scrooge\'s old partner, significant for his recent death and the impact of this event on Scrooge\'s reflections."', 'source_id': 'chunk-f1a4fbcf1ed86864b9bfd5e8dba4c683'} -2024-10-30 05:10:11,723 - lightrag - INFO - _do_upsert:query: - MERGE (n:`THE TOWN`) - SET n += $properties - RETURN n - :result:{'entity_type': '"GEO"', 'description': '"The Town is depicted as an obscure and morally degraded area contrasting with the lively scenes, indicating deep societal issues."', 'source_id': 'chunk-f1a4fbcf1ed86864b9bfd5e8dba4c683'} -2024-10-30 05:10:11,861 - lightrag - INFO - get_node:query:MATCH (n:`THE LOW-BROWED SHOP`) RETURN n:result: -2024-10-30 05:10:12,004 - lightrag - INFO - _do_upsert:query: - MERGE (n:`THE LOW-BROWED SHOP`) - SET n += $properties - RETURN n - :result:{'entity_type': '"ORGANIZATION"', 'description': '"The Low-Browed Shop is a grim establishment in the town dealing in various unwanted goods, representing decay and desperation.""The Low-Browed Shop is a setting that symbolizes neglect and degradation, filled with discarded items and representing societal decay."', 'source_id': 'chunk-f1a4fbcf1ed86864b9bfd5e8dba4c683'} -2024-10-30 05:10:12,271 - lightrag - INFO - _do_upsert:query: - MERGE (n:`RED-FACED GENTLEMAN`) - SET n += $properties - RETURN n - :result:{'entity_type': '"PERSON"', 'description': '"The Red-faced Gentleman is a character who humorously discusses the potential nature of a cheap funeral at the gathering."', 'source_id': 'chunk-f1a4fbcf1ed86864b9bfd5e8dba4c683'} -2024-10-30 05:10:12,541 - lightrag - INFO - _do_upsert:query: - MERGE (n:`GENTLEMAN WITH THE EXCRESCENCE`) - SET n += $properties - RETURN n - :result:{'entity_type': '"PERSON"', 'description': '"The Gentleman with the Excrescence is characterized by a physical trait and provides humorous remarks about attending a funeral."', 'source_id': 'chunk-f1a4fbcf1ed86864b9bfd5e8dba4c683'} -2024-10-30 05:10:12,673 - lightrag - INFO - get_node:query:MATCH (n:`OLD SCRATCH`) RETURN n:result: -2024-10-30 05:10:12,805 - lightrag - INFO - _do_upsert:query: - MERGE (n:`OLD SCRATCH`) - SET n += $properties - RETURN n - :result:{'entity_type': '"CONCEPT"', 'description': '"Old Scratch is a colloquial term used in reference to the devil, indicating a grim context in discussions about death.""Old Scratch is mentioned as a figure related to the conversation, symbolizing mischief and humor."', 'source_id': 'chunk-89777b838d5447c7bd1ec11282c4ee89chunk-f1a4fbcf1ed86864b9bfd5e8dba4c683'} -2024-10-30 05:10:13,073 - lightrag - INFO - _do_upsert:query: - MERGE (n:`THE MEETING`) - SET n += $properties - RETURN n - :result:{'entity_type': '"EVENT"', 'description': '"The Meeting is characterized by light-hearted banter among characters regarding the funeral and their connections to the deceased."', 'source_id': 'chunk-f1a4fbcf1ed86864b9bfd5e8dba4c683'} -2024-10-30 05:10:13,206 - lightrag - INFO - get_node:query:MATCH (n:`THE PHANTOM`) RETURN n:result: -2024-10-30 05:10:13,341 - lightrag - INFO - _do_upsert:query: - MERGE (n:`THE PHANTOM`) - SET n += $properties - RETURN n - :result:{'entity_type': '"ORGANIZATION"', 'description': '"The Phantom represents a ghostly presence guiding Scrooge through reflections on his life and future decisions.""The Phantom represents the supernatural element in Scrooge\'s journey of self-reflection and moral awakening."', 'source_id': 'chunk-f1a4fbcf1ed86864b9bfd5e8dba4c683'} -2024-10-30 05:10:13,610 - lightrag - INFO - _do_upsert:query: - MERGE (n:`THE QUARTER`) - SET n += $properties - RETURN n - :result:{'entity_type': '"GEO"', 'description': '"The Quarter is a depiction of an impoverished and crime-ridden area of the town, emphasizing societal neglect."', 'source_id': 'chunk-f1a4fbcf1ed86864b9bfd5e8dba4c683'} -2024-10-30 05:10:13,882 - lightrag - INFO - _do_upsert:query: - MERGE (n:`THE COAL SHOP`) - SET n += $properties - RETURN n - :result:{'entity_type': '"ORGANIZATION"', 'description': '"The Coal Shop is a den of lowly transactions that signifies the harsh living conditions experienced by the characters in the quarter."', 'source_id': 'chunk-f1a4fbcf1ed86864b9bfd5e8dba4c683'} -2024-10-30 05:10:14,153 - lightrag - INFO - _do_upsert:query: - MERGE (n:`MISCELLANEOUS TATTERS`) - SET n += $properties - RETURN n - :result:{'entity_type': '"CONCEPT"', 'description': '"Miscellaneous Tatters symbolize the shabby and worn conditions surrounding the characters in the Low-Browed Shop."', 'source_id': 'chunk-f1a4fbcf1ed86864b9bfd5e8dba4c683'} -2024-10-30 05:10:14,414 - lightrag - INFO - _do_upsert:query: - MERGE (n:`THE CHARCOAL STOVE`) - SET n += $properties - RETURN n - :result:{'entity_type': '"TECHNOLOGY"', 'description': '"The Charcoal Stove is a humble source of warmth within the Low-Browed Shop, indicative of the bleak environment."', 'source_id': 'chunk-f1a4fbcf1ed86864b9bfd5e8dba4c683'} -2024-10-30 05:10:14,554 - lightrag - INFO - get_node:query:MATCH (n:`OLD JOE`) RETURN n:result: -2024-10-30 05:10:14,693 - lightrag - INFO - _do_upsert:query: - MERGE (n:`OLD JOE`) - SET n += $properties - RETURN n - :result:{'entity_type': '"PERSON"', 'description': '"Old Joe is a grey-haired man who runs a shop where people come to sell their belongings after a death, embodying a rough, pragmatic character.""Old Joe is a grey-haired man, nearly seventy years old, who runs a shop and conducts business in a rather nonchalant manner, showcasing a certain charm amidst his questionable dealings."', 'source_id': 'chunk-60fc063c79fc0d4acc91a57e79de04dc'} -2024-10-30 05:10:14,845 - lightrag - INFO - get_node:query:MATCH (n:`MRS. DILBER`) RETURN n:result: -2024-10-30 05:10:14,982 - lightrag - INFO - _do_upsert:query: - MERGE (n:`MRS. DILBER`) - SET n += $properties - RETURN n - :result:{'entity_type': '"PERSON"', 'description': '"Mrs. Dilber is a laundress who is involved in the discussion about the belongings they are handling, exhibiting a pragmatic attitude towards the situation.""Mrs. Dilber is a laundress who participates in the gathering, commenting on the morality of their actions with a laugh."', 'source_id': 'chunk-60fc063c79fc0d4acc91a57e79de04dc'} -2024-10-30 05:10:15,263 - lightrag - INFO - _do_upsert:query: - MERGE (n:`THE MAN IN FADED BLACK`) - SET n += $properties - RETURN n - :result:{'entity_type': '"PERSON"', 'description': '"The Man in Faded Black is a character who, echoing the sentiments of the others, reveals his modest haul of stolen goods during the gathering."', 'source_id': 'chunk-60fc063c79fc0d4acc91a57e79de04dc'} -2024-10-30 05:10:15,403 - lightrag - INFO - get_node:query:MATCH (n:`THE SHOP`) RETURN n:result: -2024-10-30 05:10:15,544 - lightrag - INFO - _do_upsert:query: - MERGE (n:`THE SHOP`) - SET n += $properties - RETURN n - :result:{'entity_type': '"ORGANIZATION"', 'description': '"The Shop is Old Joe\'s place of business and serves as the meeting location for the characters, where they evaluate and exchange stolen items.""The Shop is a setting where characters gather to appraise items they have taken from the deceased, reflecting their attitudes towards death and morality."', 'source_id': 'chunk-60fc063c79fc0d4acc91a57e79de04dc'} -2024-10-30 05:10:15,679 - lightrag - INFO - get_node:query:MATCH (n:`THE BUNDLE`) RETURN n:result: -2024-10-30 05:10:15,849 - lightrag - INFO - _do_upsert:query: - MERGE (n:`THE BUNDLE`) - SET n += $properties - RETURN n - :result:{'entity_type': '"EVENT"', 'description': '"The Bundle contains the belongings of the deceased man, which serve as a focal point for discussion among the characters regarding value and morality.""The Bundle refers to the collection of stolen items brought by the characters to Old Joe\'s shop for appraisal, symbolizing their actions post-death.""The Bundle refers to the collection of stolen items that the characters present to Old Joe for appraisal."', 'source_id': 'chunk-e1f29eeadc1d8ab46dc8a0bbd3c56b64chunk-60fc063c79fc0d4acc91a57e79de04dc'} -2024-10-30 05:10:16,122 - lightrag - INFO - _do_upsert:query: - MERGE (n:`THE DEATH`) - SET n += $properties - RETURN n - :result:{'entity_type': '"EVENT"', 'description': '"The Death signifies the passing of a man whose belongings are being appraised, influencing the motivations and actions of the characters."', 'source_id': 'chunk-60fc063c79fc0d4acc91a57e79de04dc'} -2024-10-30 05:10:16,400 - lightrag - INFO - _do_upsert:query: - MERGE (n:`THE STOLEN GOODS`) - SET n += $properties - RETURN n - :result:{'entity_type': '"EVENT"', 'description': '"The Stolen Goods are the items that the characters bring to Old Joe for evaluation, highlighting their moral stance and the circumstances surrounding the death."', 'source_id': 'chunk-60fc063c79fc0d4acc91a57e79de04dc'} -2024-10-30 05:10:16,668 - lightrag - INFO - _do_upsert:query: - MERGE (n:`THE ACCUSATION`) - SET n += $properties - RETURN n - :result:{'entity_type': '"EVENT"', 'description': '"The Accusation refers to the implied judgement of the deceased\'s character that the characters discuss while evaluating their actions."', 'source_id': 'chunk-60fc063c79fc0d4acc91a57e79de04dc'} -2024-10-30 05:10:16,944 - lightrag - INFO - _do_upsert:query: - MERGE (n:`THE PARLOUR`) - SET n += $properties - RETURN n - :result:{'entity_type': '"LOCATION"', 'description': '"The Parlour is the private space behind the shop curtain where the characters engage in conversation and appraisal, symbolizing a shift from public to private."', 'source_id': 'chunk-60fc063c79fc0d4acc91a57e79de04dc'} -2024-10-30 05:10:17,214 - lightrag - INFO - _do_upsert:query: - MERGE (n:`THE RAGS`) - SET n += $properties - RETURN n - :result:{'entity_type': '"CONCEPT"', 'description': '"The Rags serve as a metaphor for the characters\' grim circumstances and the societal implications of their gathering, accentuating the theme of decay and neglect."', 'source_id': 'chunk-60fc063c79fc0d4acc91a57e79de04dc'} -2024-10-30 05:10:17,481 - lightrag - INFO - _do_upsert:query: - MERGE (n:`THE COLD AIR`) - SET n += $properties - RETURN n - :result:{'entity_type': '"CONCEPT"', 'description': '"The Cold Air symbolizes the harsh realities surrounding the characters and their actions, emphasizing the atmosphere of deprivation."', 'source_id': 'chunk-60fc063c79fc0d4acc91a57e79de04dc'} -2024-10-30 05:10:17,749 - lightrag - INFO - _do_upsert:query: - MERGE (n:`JUDGMENT`) - SET n += $properties - RETURN n - :result:{'entity_type': '"CONCEPT"', 'description': '"Judgment here refers to the characters\' reflections on morality regarding their actions after the death, questioning societal norms and individual ethics."', 'source_id': 'chunk-60fc063c79fc0d4acc91a57e79de04dc'} -2024-10-30 05:10:18,019 - lightrag - INFO - _do_upsert:query: - MERGE (n:`THE LAUGHTER`) - SET n += $properties - RETURN n - :result:{'entity_type': '"EVENT"', 'description': '"The Laughter represents a shared moment among the characters that highlights their camaraderie in the struggle against their grim realities."', 'source_id': 'chunk-60fc063c79fc0d4acc91a57e79de04dc'} -2024-10-30 05:10:18,289 - lightrag - INFO - _do_upsert:query: - MERGE (n:`THE DECEASED MAN`) - SET n += $properties - RETURN n - :result:{'entity_type': '"PERSON"', 'description': '"The Deceased Man is a character whose belongings are being discussed and whose death prompts reactions of horror and contemplation from Scrooge."', 'source_id': 'chunk-e1f29eeadc1d8ab46dc8a0bbd3c56b64'} -2024-10-30 05:10:18,423 - lightrag - INFO - get_node:query:MATCH (n:`DEATH`) RETURN n:result:"Death is described as a powerful force in the narrative, represented through the imagery of a cold, rigid presence and the contemplation of mortality.""Death refers to the passing of a character that triggers a range of emotions and reflections among the living, influencing their lives and relationships."', 'source_id': 'chunk-e1f29eeadc1d8ab46dc8a0bbd3c56b64chunk-83ac129dc9b56f84c46760d153d68e93chunk-02baee20cc9463dbe08170a8e1043e32'}> -2024-10-30 05:10:18,562 - lightrag - INFO - _do_upsert:query: - MERGE (n:`DEATH`) - SET n += $properties - RETURN n - :result:{'entity_type': '"CONCEPT"', 'description': '"Death in the story is a significant event that triggers discussion among the Businessmen and prompts Scrooge\'s reflections.""Death is described as a powerful force in the narrative, represented through the imagery of a cold, rigid presence and the contemplation of mortality.""Death refers to the passing of a character that triggers a range of emotions and reflections among the living, influencing their lives and relationships.""Death is depicted as a cold, inevitable force, prompting reflections on the value of life and the consequences of avarice."', 'source_id': 'chunk-e1f29eeadc1d8ab46dc8a0bbd3c56b64chunk-83ac129dc9b56f84c46760d153d68e93chunk-02baee20cc9463dbe08170a8e1043e32'} -2024-10-30 05:10:18,694 - lightrag - INFO - get_node:query:MATCH (n:`THE BED`) RETURN n:result: -2024-10-30 05:10:18,830 - lightrag - INFO - _do_upsert:query: - MERGE (n:`THE BED`) - SET n += $properties - RETURN n - :result:{'entity_type': '"EVENT"', 'description': '"The Bed represents a central object in the scene, symbolizing the final resting place of The Deceased and contributing to the themes of mortality and neglect.""The Bed represents a significant scene where the deceased man\'s body is laid, evoking deep emotions and realizations about life and morality."', 'source_id': 'chunk-e1f29eeadc1d8ab46dc8a0bbd3c56b64'} -2024-10-30 05:10:18,964 - lightrag - INFO - get_node:query:MATCH (n:`THE BLANKETS`) RETURN n:result: -2024-10-30 05:10:19,102 - lightrag - INFO - _do_upsert:query: - MERGE (n:`THE BLANKETS`) - SET n += $properties - RETURN n - :result:{'entity_type': '"CONCEPT"', 'description': '"The Blankets are associated with the deceased man\'s body, symbolizing care and the human connection to the dead.""The Blankets are discussed in the context of the deceased\'s possessions, highlighting themes of care and abandonment after death."', 'source_id': 'chunk-e1f29eeadc1d8ab46dc8a0bbd3c56b64'} -2024-10-30 05:10:19,376 - lightrag - INFO - _do_upsert:query: - MERGE (n:`THE OIL`) - SET n += $properties - RETURN n - :result:{'entity_type': '"CONCEPT"', 'description': '"The Oil is a material that the woman is cautious about spilling, representing the practical and sometimes distasteful attitude towards the deceased\'s belongings."', 'source_id': 'chunk-e1f29eeadc1d8ab46dc8a0bbd3c56b64'} -2024-10-30 05:10:19,649 - lightrag - INFO - _do_upsert:query: - MERGE (n:`THE SHIRT`) - SET n += $properties - RETURN n - :result:{'entity_type': '"CONCEPT"', 'description': '"The Shirt belonged to the deceased man and is evaluated by the woman who claims it is in good condition, further emphasizing her pragmatic approach to death."', 'source_id': 'chunk-e1f29eeadc1d8ab46dc8a0bbd3c56b64'} -2024-10-30 05:10:19,780 - lightrag - INFO - get_node:query:MATCH (n:`THE FLANNEL BAG`) RETURN n:result: -2024-10-30 05:10:19,915 - lightrag - INFO - _do_upsert:query: - MERGE (n:`THE FLANNEL BAG`) - SET n += $properties - RETURN n - :result:{'entity_type': '"CONCEPT"', 'description': '"The Flannel Bag contains money and symbolizes the materialistic aspects of life and the relationships surrounding The Deceased’s possessions.""The Flannel Bag is used by Joe to show the money gained from their dealings with the deceased, highlighting the theme of profit from death."', 'source_id': 'chunk-e1f29eeadc1d8ab46dc8a0bbd3c56b64'} -2024-10-30 05:10:20,184 - lightrag - INFO - _do_upsert:query: - MERGE (n:`OLD MAN'S LAMP`) - SET n += $properties - RETURN n - :result:{'entity_type': '"CONCEPT"', 'description': '"The Old Man\'s Lamp provides scant light in the scene, contributing to the mood of tension and eeriness surrounding the deceased."', 'source_id': 'chunk-e1f29eeadc1d8ab46dc8a0bbd3c56b64'} -2024-10-30 05:10:20,454 - lightrag - INFO - _do_upsert:query: - MERGE (n:`THE CORPSE`) - SET n += $properties - RETURN n - :result:{'entity_type': '"PERSON"', 'description': '"The Corpse represents the deceased man whose belongings are being discussed, serving as a stark reminder of mortality."', 'source_id': 'chunk-e1f29eeadc1d8ab46dc8a0bbd3c56b64'} -2024-10-30 05:10:20,584 - lightrag - INFO - get_node:query:MATCH (n:`THE DARK ROOM`) RETURN n:result: -2024-10-30 05:10:20,714 - lightrag - INFO - _do_upsert:query: - MERGE (n:`THE DARK ROOM`) - SET n += $properties - RETURN n - :result:{'entity_type': '"GEO"', 'description': '"The Dark Room is where the corpse lies, symbolizing isolation and the lack of care for the deceased.""The Dark Room serves as the setting for the scene, enhancing the atmosphere of dread and the theme of impending death."', 'source_id': 'chunk-e1f29eeadc1d8ab46dc8a0bbd3c56b64'} -2024-10-30 05:10:20,847 - lightrag - INFO - get_node:query:MATCH (n:`CAROLINE`) RETURN n:result: -2024-10-30 05:10:20,981 - lightrag - INFO - _do_upsert:query: - MERGE (n:`CAROLINE`) - SET n += $properties - RETURN n - :result:{'entity_type': '"PERSON"', 'description': '"Caroline is a character representing hope and emotional depth, reacting to her husband\'s news about their financial situation with a mixture of dread and optimism.""Caroline is portrayed as a mother filled with hope and emotion regarding her husband’s situation, revealing her character through her reactions to news."', 'source_id': 'chunk-83ac129dc9b56f84c46760d153d68e93'} -2024-10-30 05:10:21,253 - lightrag - INFO - _do_upsert:query: - MERGE (n:`THE CRATCHIT HOUSE`) - SET n += $properties - RETURN n - :result:{'entity_type': '"ORGANIZATION"', 'description': '"The Cratchit House symbolizes a place of familial connection and warmth, despite the hardships faced by its inhabitants."', 'source_id': 'chunk-83ac129dc9b56f84c46760d153d68e93'} -2024-10-30 05:10:21,530 - lightrag - INFO - _do_upsert:query: - MERGE (n:`THE EVENT OF DEATH`) - SET n += $properties - RETURN n - :result:{'entity_type': '"EVENT"', 'description': '"The Event of Death signifies a pivotal moment affecting the characters, transitioning their emotional state and family dynamics."', 'source_id': 'chunk-83ac129dc9b56f84c46760d153d68e93'} -2024-10-30 05:10:21,800 - lightrag - INFO - _do_upsert:query: - MERGE (n:`THE HUSBAND`) - SET n += $properties - RETURN n - :result:{'entity_type': '"PERSON"', 'description': '"The Husband is depicted as a careworn man, bringing news that impacts his family\'s emotional state, symbolizing the struggle between hope and despair."', 'source_id': 'chunk-83ac129dc9b56f84c46760d153d68e93'} -2024-10-30 05:10:21,934 - lightrag - INFO - get_node:query:MATCH (n:`PETER`) RETURN n:result:"Peter is one of the Cratchit children, who occasionally expresses a sense of duty and future aspirations, contributing to family discussions."', 'source_id': 'chunk-83ac129dc9b56f84c46760d153d68e93chunk-1d4b58de5429cd1261370c231c8673e8'}> -2024-10-30 05:10:22,075 - lightrag - INFO - _do_upsert:query: - MERGE (n:`PETER`) - SET n += $properties - RETURN n - :result:{'entity_type': '"PERSON"', 'description': '"Peter is a member of the Cratchit family, characterized by his quiet demeanor while being engaged in reading, representing the next generation\'s concern.""Peter is one of the Cratchit children, who occasionally expresses a sense of duty and future aspirations, contributing to family discussions.""Peter is a son in the Cratchit family, responsible and calm, attempting to engage his siblings amidst a tense family situation and financial uncertainty.""Peter is the son of Bob and Mrs. Cratchit, showing concern and support for his father and siblings."', 'source_id': 'chunk-83ac129dc9b56f84c46760d153d68e93chunk-1d4b58de5429cd1261370c231c8673e8'} -2024-10-30 05:10:22,373 - lightrag - INFO - _do_upsert:query: - MERGE (n:`THE DEBT`) - SET n += $properties - RETURN n - :result:{'entity_type': '"CONCEPT"', 'description': '"The Debt symbolizes the financial burdens faced by the Cratchit family, a source of anxiety and tension impacting their morale and outlook."', 'source_id': 'chunk-83ac129dc9b56f84c46760d153d68e93'} -2024-10-30 05:10:22,521 - lightrag - INFO - get_node:query:MATCH (n:`MR. SCROOGE'S NEPHEW`) RETURN n:result: -2024-10-30 05:10:22,657 - lightrag - INFO - _do_upsert:query: - MERGE (n:`MR. SCROOGE'S NEPHEW`) - SET n += $properties - RETURN n - :result:{'entity_type': '"PERSON"', 'description': '"Mr. Scrooge\'s Nephew is a kind gentleman who expresses sympathy for Bob Cratchit and offers help, reflecting goodwill.""Mr. Scrooge\'s Nephew is a kind gentleman who shows concern for Bob Cratchit and offers support, symbolizing generosity and compassion."', 'source_id': 'chunk-1d4b58de5429cd1261370c231c8673e8'} -2024-10-30 05:10:22,787 - lightrag - INFO - get_node:query:MATCH (n:`THE TWO YOUNG CRATCHITS`) RETURN n:result: -2024-10-30 05:10:22,921 - lightrag - INFO - _do_upsert:query: - MERGE (n:`THE TWO YOUNG CRATCHITS`) - SET n += $properties - RETURN n - :result:{'entity_type': '"PERSON"', 'description': '"The Two Young Cratchits are siblings who show affection for their father, demonstrating the innocence and unity of childhood.""The Two Young Cratchits are the younger children in the Cratchit family, who express affection towards their father, Bob."', 'source_id': 'chunk-1d4b58de5429cd1261370c231c8673e8'} -2024-10-30 05:10:23,191 - lightrag - INFO - _do_upsert:query: - MERGE (n:`THE TABLE`) - SET n += $properties - RETURN n - :result:{'entity_type': '"GEO"', 'description': '"The Table is where the Cratchit family gathers, representing their domestic life and togetherness."', 'source_id': 'chunk-1d4b58de5429cd1261370c231c8673e8'} -2024-10-30 05:10:23,460 - lightrag - INFO - _do_upsert:query: - MERGE (n:`THE ROOM ABOVE`) - SET n += $properties - RETURN n - :result:{'entity_type': '"GEO"', 'description': '"The Room Above is a space in the Cratchit household which is illuminated cheerfully, suggesting a haven despite their hardships."', 'source_id': 'chunk-1d4b58de5429cd1261370c231c8673e8'} -2024-10-30 05:10:23,598 - lightrag - INFO - get_node:query:MATCH (n:`THE GHOST OF CHRISTMAS YET TO COME`) RETURN n:result: -2024-10-30 05:10:23,735 - lightrag - INFO - _do_upsert:query: - MERGE (n:`THE GHOST OF CHRISTMAS YET TO COME`) - SET n += $properties - RETURN n - :result:{'entity_type': '"ORGANIZATION"', 'description': '"The Ghost of Christmas Yet to Come is a spectral being that guides Scrooge through visions of his potential future.""The Ghost of Christmas Yet to Come is a spirit that shows Scrooge the consequences of his actions, pointing toward his eventual demise.""The Ghost of Christmas Yet to Come reveals the potential consequences of Scrooge\'s current life choices, emphasizing themes of mortality and legacy."', 'source_id': 'chunk-90b95db5c53e4364a6bee36b7aa4d70fchunk-91572b3cd42786ba4cb2f180ca25cbf4'} -2024-10-30 05:10:24,009 - lightrag - INFO - _do_upsert:query: - MERGE (n:`GRAVE`) - SET n += $properties - RETURN n - :result:{'entity_type': '"GEO"', 'description': '"The Grave represents a place where Scrooge\'s future self lies, symbolizing death and the consequences of a life unexamined."', 'source_id': 'chunk-91572b3cd42786ba4cb2f180ca25cbf4'} -2024-10-30 05:10:24,281 - lightrag - INFO - _do_upsert:query: - MERGE (n:`THE GRAVESTONE`) - SET n += $properties - RETURN n - :result:{'entity_type': '"GEO"', 'description': '"The Gravestone bears Scrooge\'s name and symbolizes mortality and the legacy of his actions during his lifetime."', 'source_id': 'chunk-91572b3cd42786ba4cb2f180ca25cbf4'} -2024-10-30 05:10:24,421 - lightrag - INFO - get_node:query:MATCH (n:`THE FUTURE`) RETURN n:result:"The Future represents the potential outcomes of Scrooge’s life choices, depicted through the visions shown by the Spirits."', 'source_id': 'chunk-91572b3cd42786ba4cb2f180ca25cbf4chunk-02baee20cc9463dbe08170a8e1043e32'}> -2024-10-30 05:10:24,559 - lightrag - INFO - _do_upsert:query: - MERGE (n:`THE FUTURE`) - SET n += $properties - RETURN n - :result:{'entity_type': '"CONCEPT"', 'description': '"The Future is represented as a realm of possibility and consequence that concerns Scrooge\'s fate and choices.""The Future represents the potential outcomes of Scrooge’s life choices, depicted through the visions shown by the Spirits.""The Future refers to the outcomes that Scrooge may face based on his current actions, raising themes of choice and consequence."', 'source_id': 'chunk-91572b3cd42786ba4cb2f180ca25cbf4chunk-02baee20cc9463dbe08170a8e1043e32'} -2024-10-30 05:10:24,689 - lightrag - INFO - get_node:query:MATCH (n:`THE PAST`) RETURN n:result: -2024-10-30 05:10:24,823 - lightrag - INFO - _do_upsert:query: - MERGE (n:`THE PAST`) - SET n += $properties - RETURN n - :result:{'entity_type': '"CONCEPT"', 'description': '"The Past is a concept that reflects Scrooge\'s memories and previous actions that influence his current state and future decisions.""The Past reflects on Scrooge\'s earlier life choices and experiences that shaped who he has become."', 'source_id': 'chunk-91572b3cd42786ba4cb2f180ca25cbf4'} -2024-10-30 05:10:24,956 - lightrag - INFO - get_node:query:MATCH (n:`THE PRESENT`) RETURN n:result: -2024-10-30 05:10:25,093 - lightrag - INFO - _do_upsert:query: - MERGE (n:`THE PRESENT`) - SET n += $properties - RETURN n - :result:{'entity_type': '"CONCEPT"', 'description': '"The Present emphasizes the importance of living in the moment and embracing current opportunities for change.""The Present represents the current moment in Scrooge\'s life that he must recognize and change to achieve redemption."', 'source_id': 'chunk-91572b3cd42786ba4cb2f180ca25cbf4'} -2024-10-30 05:10:25,226 - lightrag - INFO - get_node:query:MATCH (n:`THE POULTERER'S`) RETURN n:result: -2024-10-30 05:10:25,366 - lightrag - INFO - _do_upsert:query: - MERGE (n:`THE POULTERER'S`) - SET n += $properties - RETURN n - :result:{'entity_type': '"ORGANIZATION"', 'description': '"The Poulterer\'s is a shop mentioned by Scrooge, relevant in the context of his generous actions towards the Cratchit family.""The Poulterer\'s is a shop where Scrooge intends to buy a turkey for the Cratchit family."', 'source_id': 'chunk-90b95db5c53e4364a6bee36b7aa4d70f'} -2024-10-30 05:10:25,496 - lightrag - INFO - get_node:query:MATCH (n:`THE SPIRITS`) RETURN n:result:"The Spirits represent the past, present, and future in Scrooge\'s life, guiding him toward redemption and self-reflection."', 'source_id': 'chunk-90b95db5c53e4364a6bee36b7aa4d70fchunk-cb661c37436355ccec2769b1d0350c5f'}> -2024-10-30 05:10:25,626 - lightrag - INFO - _do_upsert:query: - MERGE (n:`THE SPIRITS`) - SET n += $properties - RETURN n - :result:{'entity_type': '"CONCEPT"', 'description': '"The Spirits collectively represent the supernatural forces that seek to guide and teach Scrooge about the impact of his life choices.""The Spirits represent the past, present, and future in Scrooge\'s life, guiding him toward redemption and self-reflection.""The Spirits represent the forces that guide Scrooge towards his transformation and are instrumental in his journey of redemption."', 'source_id': 'chunk-90b95db5c53e4364a6bee36b7aa4d70fchunk-cb661c37436355ccec2769b1d0350c5f'} -2024-10-30 05:10:25,758 - lightrag - INFO - get_node:query:MATCH (n:`THE GHOST OF CHRISTMAS PRESENT`) RETURN n:result:"The Ghost of Christmas Present is a supernatural being that shows Scrooge the true spirit of Christmas, including kindness towards the poor.""The Ghost of Christmas Present signifies abundance and the spirit of joy that Scrooge is encouraged to embrace."', 'source_id': 'chunk-90b95db5c53e4364a6bee36b7aa4d70fchunk-43c9bee23adfa77aa9dedd22401bba7dchunk-b0f459f5af1c3a5e0b92cbe4ee48b77b'}> -2024-10-30 05:10:25,896 - lightrag - INFO - _do_upsert:query: - MERGE (n:`THE GHOST OF CHRISTMAS PRESENT`) - SET n += $properties - RETURN n - :result:{'entity_type': '"PERSON"', 'description': '"The Ghost of Christmas Present is a spirit that guides Scrooge through his memories and the joy of the present Christmas celebration.""The Ghost of Christmas Present is a supernatural being that shows Scrooge the true spirit of Christmas, including kindness towards the poor.""The Ghost of Christmas Present signifies abundance and the spirit of joy that Scrooge is encouraged to embrace.""The Ghost of Christmas Present is one of the spirits that help Scrooge understand the importance of generosity and compassion during the festive season."', 'source_id': 'chunk-90b95db5c53e4364a6bee36b7aa4d70fchunk-b0f459f5af1c3a5e0b92cbe4ee48b77bchunk-43c9bee23adfa77aa9dedd22401bba7d'} -2024-10-30 05:10:26,165 - lightrag - INFO - _do_upsert:query: - MERGE (n:`THE CHRISTMAS DINNER`) - SET n += $properties - RETURN n - :result:{'entity_type': '"EVENT"', 'description': '"The Christmas Dinner signifies the gathering of the Cratchit family, highlighting themes of togetherness and the warmth of family during the holiday season."', 'source_id': 'chunk-90b95db5c53e4364a6bee36b7aa4d70f'} -2024-10-30 05:10:26,295 - lightrag - INFO - get_node:query:MATCH (n:`THE STREET`) RETURN n:result: -2024-10-30 05:10:26,433 - lightrag - INFO - _do_upsert:query: - MERGE (n:`THE STREET`) - SET n += $properties - RETURN n - :result:{'entity_type': '"GEO"', 'description': '"The Street is the setting where Scrooge interacts with the boy and demonstrates his newfound generosity after his transformation.""The Street is where Mr. Scrooge\'s Nephew encounters Bob Cratchit, facilitating a significant moment of kindness in the narrative.""The Street represents the setting where Scrooge interacts with various characters and experiences joy, emphasizing the festive atmosphere."', 'source_id': 'chunk-90b95db5c53e4364a6bee36b7aa4d70fchunk-8f738cb25d60a7dab782162d9d0a25edchunk-1d4b58de5429cd1261370c231c8673e8'} -2024-10-30 05:10:26,569 - lightrag - INFO - get_node:query:MATCH (n:`THE BOY`) RETURN n:result:"The Boy is a young messenger who interacts with Scrooge during his purchase of the turkey."', 'source_id': 'chunk-8f738cb25d60a7dab782162d9d0a25edchunk-8bc1edd983869352d14cf0886a9175a7'}> -2024-10-30 05:10:26,704 - lightrag - INFO - _do_upsert:query: - MERGE (n:`THE BOY`) - SET n += $properties - RETURN n - :result:{'entity_type': '"PERSON"', 'description': '"The Boy is a character mentioned briefly, who tries to hide behind another girl, indicating shyness among the festive crowd.""The Boy is a young messenger who interacts with Scrooge during his purchase of the turkey.""The Boy represents innocence and curiosity, serving as a catalyst for Scrooge\'s generous act by purchasing the turkey."', 'source_id': 'chunk-90b95db5c53e4364a6bee36b7aa4d70fchunk-8bc1edd983869352d14cf0886a9175a7chunk-8f738cb25d60a7dab782162d9d0a25ed'} -2024-10-30 05:10:26,835 - lightrag - INFO - get_node:query:MATCH (n:`THE TURKEY`) RETURN n:result: -2024-10-30 05:10:26,969 - lightrag - INFO - _do_upsert:query: - MERGE (n:`THE TURKEY`) - SET n += $properties - RETURN n - :result:{'entity_type': '"EVENT"', 'description': '"The Turkey is a large bird that Scrooge has humorously commented on sending to Bob, symbolizing generosity and Christmas spirit.""The Turkey represents a key symbol of generosity and festivity during Christmas, as Scrooge purchases it to spread joy.""The Turkey symbolizes the generosity and festive spirit that Scrooge embraces following his transformation."', 'source_id': 'chunk-90b95db5c53e4364a6bee36b7aa4d70fchunk-8f738cb25d60a7dab782162d9d0a25ed'} -2024-10-30 05:10:27,237 - lightrag - INFO - _do_upsert:query: - MERGE (n:`THE OLD GENTLEMAN`) - SET n += $properties - RETURN n - :result:{'entity_type': '"PERSON"', 'description': '"The Old Gentleman is a character with whom Scrooge interacts, showcasing the themes of kindness and forgiveness."', 'source_id': 'chunk-8f738cb25d60a7dab782162d9d0a25ed'} -2024-10-30 05:10:27,368 - lightrag - INFO - get_node:query:MATCH (n:`BOB`) RETURN n:result:"Bob is referenced humorously by Scrooge in the context of a joke regarding a large turkey."', 'source_id': 'chunk-8f738cb25d60a7dab782162d9d0a25edchunk-91572b3cd42786ba4cb2f180ca25cbf4'}> -2024-10-30 05:10:27,504 - lightrag - INFO - _do_upsert:query: - MERGE (n:`BOB`) - SET n += $properties - RETURN n - :result:{'entity_type': '"PERSON"', 'description': '"Bob is a character who reflects on the importance of unity and remembering Tiny Tim among his family.""Bob is referenced humorously by Scrooge in the context of a joke regarding a large turkey.""Bob is likely referenced as a character who may receive the turkey sent by Scrooge, highlighting the theme of generosity."', 'source_id': 'chunk-91572b3cd42786ba4cb2f180ca25cbf4chunk-8f738cb25d60a7dab782162d9d0a25ed'} -2024-10-30 05:10:27,772 - lightrag - INFO - _do_upsert:query: - MERGE (n:`THE CAB`) - SET n += $properties - RETURN n - :result:{'entity_type': '"EVENT"', 'description': '"The Cab is an event associated with transporting the turkey, illustrating the lengths to which Scrooge is willing to go to share joy."', 'source_id': 'chunk-8f738cb25d60a7dab782162d9d0a25ed'} -2024-10-30 05:10:28,037 - lightrag - INFO - _do_upsert:query: - MERGE (n:`THE KITCHEN`) - SET n += $properties - RETURN n - :result:{'entity_type': '"GEO"', 'description': '"The Kitchen is a location that Scrooge looks into, symbolizing warmth, family, and the spirit of hospitality during the holiday season."', 'source_id': 'chunk-8f738cb25d60a7dab782162d9d0a25ed'} -2024-10-30 05:10:28,306 - lightrag - INFO - _do_upsert:query: - MERGE (n:`MISTRESS`) - SET n += $properties - RETURN n - :result:{'entity_type': '"PERSON"', 'description': '"Mistress is referenced in relation to Fred, indicating the presence of family dynamics during the Christmas celebration."', 'source_id': 'chunk-8f738cb25d60a7dab782162d9d0a25ed'} -2024-10-30 05:10:28,580 - lightrag - INFO - _do_upsert:query: - MERGE (n:`THE FAMILY`) - SET n += $properties - RETURN n - :result:{'entity_type': '"ORGANIZATION"', 'description': '"The Family includes Bob Cratchit and his loved ones, who represent themes of togetherness and support during Christmas."', 'source_id': 'chunk-94bea83e7153fc2064aa382b494936a1'} -2024-10-30 05:10:28,709 - lightrag - INFO - get_node:query:MATCH (n:`THE TANK`) RETURN n:result: -2024-10-30 05:10:28,840 - lightrag - INFO - _do_upsert:query: - MERGE (n:`THE TANK`) - SET n += $properties - RETURN n - :result:{'entity_type': '"LOCATION"', 'description': '"The Tank is the workplace setting where Bob Cratchit works under Scrooge, highlighting the power dynamics in their relationship.""The Tank refers to Bob Cratchit\'s work area, where he encounters Scrooge and faces the consequences of arriving late."', 'source_id': 'chunk-94bea83e7153fc2064aa382b494936a1'} -2024-10-30 05:10:29,113 - lightrag - INFO - _do_upsert:query: - MERGE (n:`SMOKING BISHOP`) - SET n += $properties - RETURN n - :result:{'entity_type': '"CONCEPT"', 'description': '"Smoking Bishop is a traditional Christmas drink mentioned in the context of Scrooge and Bob\'s plans to celebrate together, symbolizing festive cheer."', 'source_id': 'chunk-94bea83e7153fc2064aa382b494936a1'} -2024-10-30 05:10:29,246 - lightrag - INFO - get_node:query:MATCH (n:`THE FOUNDATION`) RETURN n:result: -2024-10-30 05:10:29,384 - 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lightrag - INFO - _do_upsert:query: - MERGE (n:`WEBSITES`) - SET n += $properties - RETURN n - :result:{'entity_type': '"CONCEPT"', 'description': '"Websites refer to the online platforms, including www.gutenberg.org, through which Project Gutenberg operates and promotes its resources."', 'source_id': 'chunk-c51b3dc560b408cce12cdfe5c9c94f57'} -2024-10-30 05:10:37,621 - lightrag - INFO - get_node:query:MATCH (n:`MICHAEL S. HART`) RETURN n:result: -2024-10-30 05:10:37,756 - lightrag - INFO - _do_upsert:query: - MERGE (n:`MICHAEL S. HART`) - SET n += $properties - RETURN n - :result:{'entity_type': '"PERSON"', 'description': '"Michael S. Hart is the founder of Project Gutenberg, known for creating a library of electronic works that can be freely shared, playing a significant role in the development of eBooks.""Michael S. Hart is the originator of the Project Gutenberg concept, having produced and distributed eBooks for forty years."', 'source_id': 'chunk-85f77f5e3a9aba01133555a2d20e2fd8'} -2024-10-30 05:10:38,023 - lightrag - INFO - _do_upsert:query: - MERGE (n:`U.S. INTERNAL REVENUE SERVICE`) - SET n += $properties - RETURN n - :result:{'entity_type': '"ORGANIZATION"', 'description': '"The U.S. Internal Revenue Service is the government agency granting tax-exempt status to the Foundation."', 'source_id': 'chunk-85f77f5e3a9aba01133555a2d20e2fd8'} -2024-10-30 05:10:38,152 - lightrag - INFO - get_node:query:MATCH (n:`DONATIONS`) RETURN n:result:"Donations represent the financial support provided to the Project Gutenberg Literary Archive Foundation, essential for carrying out its mission."', 'source_id': 'chunk-c51b3dc560b408cce12cdfe5c9c94f57chunk-85f77f5e3a9aba01133555a2d20e2fd8'}> -2024-10-30 05:10:38,288 - lightrag - INFO - _do_upsert:query: - MERGE (n:`DONATIONS`) - SET n += $properties - RETURN n - :result:{'entity_type': '"EVENT"', 'description': '"Donations are financial contributions that provide essential support to Project Gutenberg™, facilitating the efforts of volunteers and the overall project.""Donations represent the financial support provided to the Project Gutenberg Literary Archive Foundation, essential for carrying out its mission.""Donations refer to the contributions made to the Project Gutenberg Literary Archive Foundation which are essential for its operation and maintaining tax-exempt status."', 'source_id': 'chunk-85f77f5e3a9aba01133555a2d20e2fd8chunk-c51b3dc560b408cce12cdfe5c9c94f57'} -2024-10-30 05:10:38,563 - lightrag - INFO - _do_upsert:query: - MERGE (n:`PROJECT GUTENBERG EBOOKS`) - SET n += $properties - RETURN n - :result:{'entity_type': '"EVENT"', 'description': '"Project Gutenberg eBooks are electronic works created for free distribution, originating from confirmed public domain materials."', 'source_id': 'chunk-85f77f5e3a9aba01133555a2d20e2fd8'} -2024-10-30 05:10:38,835 - lightrag - INFO - _do_upsert:query: - MERGE (n:`501(C)(3)`) - SET n += $properties - RETURN n - :result:{'entity_type': '"ORGANIZATION"', 'description': '"501(c)(3) refers to the tax-exempt status granted to the Project Gutenberg Literary Archive Foundation by the IRS, allowing it to operate as a charitable organization."', 'source_id': 'chunk-85f77f5e3a9aba01133555a2d20e2fd8'} -2024-10-30 05:10:38,966 - lightrag - INFO - get_node:query:MATCH (n:`EIN 64-6221541`) RETURN n:result: -2024-10-30 05:10:39,098 - lightrag - INFO - _do_upsert:query: - MERGE (n:`EIN 64-6221541`) - SET n += $properties - RETURN n - :result:{'entity_type': '"ORGANIZATION"', 'description': '"The EIN 64-6221541 is the federal tax identification number for the Project Gutenberg Literary Archive Foundation, which identifies it for tax purposes.""The EIN or federal tax identification number for the Project Gutenberg Literary Archive Foundation, used for tax purposes and identification."', 'source_id': 'chunk-85f77f5e3a9aba01133555a2d20e2fd8chunk-c51b3dc560b408cce12cdfe5c9c94f57'} -2024-10-30 05:10:39,234 - lightrag - INFO - get_node:query:MATCH (n:`U.S. FEDERAL LAWS`) RETURN n:result: -2024-10-30 05:10:39,371 - lightrag - INFO - _do_upsert:query: - MERGE (n:`U.S. FEDERAL LAWS`) - SET n += $properties - RETURN n - :result:{'entity_type': '"GEO"', 'description': '"U.S. federal laws govern the tax treatment of contributions made to the Project Gutenberg Literary Archive Foundation and those involved in charitable activities.""U.S. federal laws set the framework and conditions under which non-profit organizations like the Project Gutenberg Literary Archive Foundation operate and maintain tax-exempt status."', 'source_id': 'chunk-85f77f5e3a9aba01133555a2d20e2fd8'} -2024-10-30 05:10:39,503 - lightrag - INFO - get_node:query:MATCH (n:`WEBSITE`) RETURN n:result: -2024-10-30 05:10:39,640 - lightrag - INFO - _do_upsert:query: - MERGE (n:`WEBSITE`) - SET n += $properties - RETURN n - :result:{'entity_type': '"ORGANIZATION"', 'description': '"The Project Gutenberg website serves as a hosting platform for eBooks, donation methods, and information regarding the Foundation\'s activities.""The Project Gutenberg website serves as the central platform for accessing eBooks, making donations, and providing information about the Foundation."', 'source_id': 'chunk-85f77f5e3a9aba01133555a2d20e2fd8'} -2024-10-30 05:10:39,905 - lightrag - INFO - _do_upsert:query: - MERGE (n:`WWW.GUTENBERG.ORG/CONTACT`) - SET n += $properties - RETURN n - :result:{'entity_type': '"ORGANIZATION"', 'description': '"The contact page provides up-to-date information on how to reach the Project Gutenberg Literary Archive Foundation."', 'source_id': 'chunk-85f77f5e3a9aba01133555a2d20e2fd8'} -2024-10-30 05:10:40,174 - lightrag - INFO - _do_upsert:query: - MERGE (n:`WWW.GUTENBERG.ORG/DONATE`) - SET n += $properties - RETURN n - :result:{'entity_type': '"ORGANIZATION"', 'description': '"The donation page on the Project Gutenberg website where individuals can contribute funds to support the Foundation\'s mission."', 'source_id': 'chunk-85f77f5e3a9aba01133555a2d20e2fd8'} -2024-10-30 05:10:40,440 - lightrag - INFO - _do_upsert:query: - MERGE (n:`PUBLIC DOMAIN`) - SET n += $properties - RETURN n - :result:{'entity_type': '"CONCEPT"', 'description': '"Public Domain refers to works that are available for free use without copyright restrictions, a key focus of Project Gutenberg\'s mission to distribute such materials."', 'source_id': 'chunk-85f77f5e3a9aba01133555a2d20e2fd8'} -2024-10-30 05:10:46,253 - lightrag - INFO - _do_upsert:query: - MERGE (n:`BOB CRATCHIT`) - SET n += $properties - RETURN n - :result:{'entity_type': '"PERSON"', 'description': 'Bob Cratchit is a significant character in Charles Dickens\' "A Christmas Carol," serving as Scrooge\'s dedicated clerk and embodiment of the struggles faced by the working class. He is depicted as a humble family man, exhibiting warmth and joy at home despite his limited income. Cratchit demonstrates a sense of hope, particularly highlighted during the Christmas season, where he attempts to maintain positivity in the face of challenges.\n\nAs the father of Tiny Tim and head of the Cratchit family, Bob exemplifies deep familial love and concern, striving to care for his children amidst financial hardships. He is characterized by his kindness and emotional depth, particularly in caring for Tiny Tim\'s wellbeing. The Cratchit household is filled with a warm atmosphere, and Cratchit\'s joy and gratitude during their Christmas dinner starkly contrast with Scrooge\'s initial miserly demeanor.\n\nDespite his struggles, Bob Cratchit is portrayed as a voice of moderation and kindness, especially during family celebrations. His character captures the essence of duty and love, and he expresses happiness and appreciation during difficult times, showing affection for his children and a strong commitment to his family. His arrival late to work after celebrating Christmas highlights his trepidation toward Scrooge, yet it also reflects Scrooge\'s eventual generosity towards him, including an intention to support the Cratchit family.\n\nIn summary, Bob Cratchit is not only a devoted father and husband but also a representation of resilience and the importance of family, embodying the spirit of hope and joy amidst adversity in "A Christmas Carol."', 'source_id': 'chunk-7e2e7ebcc19a53b399dc03aded4743e7chunk-91572b3cd42786ba4cb2f180ca25cbf4chunk-d9aac3484185ac66045df92214d245d5chunk-b0f459f5af1c3a5e0b92cbe4ee48b77bchunk-83ac129dc9b56f84c46760d153d68e93chunk-94bea83e7153fc2064aa382b494936a1chunk-19d72c57ae3408758b18d2568e86dc6bchunk-1d4b58de5429cd1261370c231c8673e8chunk-9e3921da66da5d761ab73cd849af6c43chunk-503f0bfa5453467c7c61d160a3540ecachunk-90b95db5c53e4364a6bee36b7aa4d70f'} -2024-10-30 05:10:46,436 - lightrag - INFO - _do_upsert:query: - MERGE (n:`TINY TIM`) - SET n += $properties - RETURN n - :result:{'entity_type': '"PERSON"', 'description': 'Tiny Tim, whose full name is Tim Cratchit, is a young boy and the youngest son of Bob Cratchit in Charles Dickens\' "A Christmas Carol." He is a frail child who embodies innocence and vulnerability, serving as a poignant symbol of hope and resilience. Despite his health struggles, characterized by being a cripple, Tiny Tim maintains a joyful spirit and a positive outlook on life, which brings joy to those around him and highlights the warmth of the Christmas season.\n\nTiny Tim\'s character serves multiple significant roles within the narrative. He represents the harsh realities of illness and poverty faced by the Cratchit family, evoking compassion and drawing attention to their struggles. His presence is central to the family\'s emotional state, reflecting their hopes for the future and their love for one another. Tiny Tim\'s plight also becomes a focal point for Ebenezer Scrooge’s transformation, as Tiny Tim symbolizes the impact of Scrooge\'s change of heart—ultimately illustrating the themes of generosity and the value of family.\n\nThroughout the story, Tiny Tim participates in festive celebrations, including the Christmas toast, but remains acutely aware of his family\'s difficulties. He is cherished by his family, particularly by his father, Bob, who often expresses profound love and concern for his well-being. Tiny Tim\'s role as a representation of innocence and goodness resonates throughout "A Christmas Carol," leaving a lasting impression on both the characters in the story and the readers alike.', 'source_id': 'chunk-7e2e7ebcc19a53b399dc03aded4743e7chunk-91572b3cd42786ba4cb2f180ca25cbf4chunk-83ac129dc9b56f84c46760d153d68e93chunk-94bea83e7153fc2064aa382b494936a1chunk-19d72c57ae3408758b18d2568e86dc6bchunk-1d4b58de5429cd1261370c231c8673e8chunk-9e3921da66da5d761ab73cd849af6c43chunk-503f0bfa5453467c7c61d160a3540ecachunk-90b95db5c53e4364a6bee36b7aa4d70fchunk-8f738cb25d60a7dab782162d9d0a25ed'} -2024-10-30 05:10:47,726 - lightrag - INFO - _do_upsert:query: - MERGE (n:`CHRISTMAS`) - SET n += $properties - RETURN n - :result:{'entity_type': '"EVENT"', 'description': 'Christmas is a significant and festive occasion that plays a crucial role in the narrative, especially seen through the experiences of the Cratchit family and the character of Ebenezer Scrooge. It embodies themes of joy, love, generosity, and community, highlighting the importance of family togetherness and the spirit of giving. For the Cratchit family, Christmas represents a time of celebration, warmth, and gratitude, filled with merriment and social gatherings, where they come together to create cherished memories despite their modest means.\n\nIn contrast, Scrooge initially dismisses Christmas, viewing it with cynicism and referring to it as a "humbug." His cold demeanor and rejection of the holiday stand in stark contrast to the joy and festive atmosphere surrounding it. Throughout the story, the holiday acts as a backdrop for his transformation, as he is confronted with his memories and reflections on joy, loneliness, and the relationships he has neglected. Christmas becomes pivotal in emphasizing the themes of redemption, generosity, and social responsibility, ultimately leading Scrooge to embrace the values he once rejected.\n\nThe holiday is depicted through scenes of communal spirit, with people engaging in festivities, celebrating with dances, and interacting joyfully in the streets. It emphasizes the positive impact of the holiday spirit on individuals and serves as a time of emotional reflection for Scrooge, marking a significant change in his character. By the end of the narrative, Christmas symbolizes a time of goodwill and transformation, as Scrooge decides to embrace the holiday\'s spirit of joy and giving, leaving behind his previous disdain and solitude. Overall, Christmas is central to the themes and character development within the story, highlighting the power of love, generosity, and community.', 'source_id': 'chunk-02baee20cc9463dbe08170a8e1043e32chunk-503f0bfa5453467c7c61d160a3540ecachunk-773d0df1dd25c356f7b771d780583e09chunk-8f738cb25d60a7dab782162d9d0a25edchunk-91614df5cb74cbe5e109a338a82041e9chunk-91572b3cd42786ba4cb2f180ca25cbf4chunk-99b0ec7f7e006561352b5d65e849611dchunk-c6c248858d1b13ab7ee9ca13c1aeed6bchunk-5dac41b3f9eeaf794f0147400b1718cdchunk-89777b838d5447c7bd1ec11282c4ee89chunk-94bea83e7153fc2064aa382b494936a1chunk-8590d9263cd2cd4fa583c432fc54e6c3chunk-1d4b58de5429cd1261370c231c8673e8chunk-54bdd22db1f84a965b5f4c06c9216d8dchunk-e7637ff18c5ded77a68cce0a87883fadchunk-90d5764e301321c087f5a8f78b73a145chunk-74e2466de2f67fd710ef2f20c0a8d9e0chunk-da2472b4ef2a535b62908f14d0fb0ca9chunk-43c9bee23adfa77aa9dedd22401bba7d'} -2024-10-30 05:10:48,506 - lightrag - INFO - _do_upsert:query: - MERGE (n:`SCROOGE`) - SET n += $properties - RETURN n - :result:{'entity_type': '"PERSON"', 'description': "Scrooge is a central character in the narrative, undergoing a profound transformation that highlights his emotional turmoil and reflective journey. Initially depicted as a miserly and cold-hearted individual, Scrooge embodies greed and displays a profound disdain for Christmas, focusing solely on his business and lacking compassion for others. He is characterized as a solitary figure, often referred to in negative terms, such as the “Ogre of the family” or as a “tight-fisted old man.” His reluctance to engage in charitable acts and his indifference towards the festive spirit of Christmas create a stark contrast to the transformation he ultimately experiences.\n\nThroughout the story, Scrooge is confronted by supernatural elements, notably the ghost of his former partner, Jacob Marley, who warns him of the consequences of his actions. This encounter sparks a series of reflections prompted by visits from three spirits, which guide him through scenes from his past, present, and future. These experiences evoke feelings of horror, agitation, and regret as he contemplates the consequences of his miserliness and the moral implications of his actions. He recalls his lonely childhood and the decisions that have shaped his pessimistic worldview, prompting deep emotional vulnerability.\n\nAs he interacts with the spirits, Scrooge witnesses both joy and hardship, particularly relating to the Cratchit family and Tiny Tim, igniting feelings of grief, longing for connection, and a recognition of his own mortality. This journey leads him to acknowledge his past mistakes and consider the impacts of his life choices on others, ultimately fostering an internal struggle between his prior skepticism and a budding capacity for empathy.\n\nBy the narrative's conclusion, Scrooge's character has undergone a significant transformation. He emerges from his experiences with a newfound joy and a commitment to generosity and compassion. He embraces the spirit of Christmas, taking steps to positively impact the lives of those around him, particularly Bob Cratchit and his family. Scrooge’s evolution from a grumpy, indifferent man to one filled with goodwill and the spirit of Christmas is central to the narrative, illustrating the themes of redemption, compassion, and the importance of community.", 'source_id': 'chunk-d9aac3484185ac66045df92214d245d5chunk-c7b10789a9cb0af6c553730b29bd9034chunk-b0f459f5af1c3a5e0b92cbe4ee48b77bchunk-02baee20cc9463dbe08170a8e1043e32chunk-bb21d58d36c6306fd8810ddd51c4a971chunk-503f0bfa5453467c7c61d160a3540ecachunk-1aa50206d02ed89418f65f97c6441d1cchunk-9c43dac2fcd5b578242d907ea6f8fc7bchunk-773d0df1dd25c356f7b771d780583e09chunk-843b5b2f944c7413d9ca876e2e2f151fchunk-f1a4fbcf1ed86864b9bfd5e8dba4c683chunk-8f738cb25d60a7dab782162d9d0a25edchunk-91614df5cb74cbe5e109a338a82041e9chunk-83ac129dc9b56f84c46760d153d68e93chunk-359187e7571bda4b0b08b2e0b6581e52chunk-cb661c37436355ccec2769b1d0350c5fchunk-91572b3cd42786ba4cb2f180ca25cbf4chunk-99b0ec7f7e006561352b5d65e849611dchunk-e1f29eeadc1d8ab46dc8a0bbd3c56b64chunk-c6c248858d1b13ab7ee9ca13c1aeed6bchunk-5dac41b3f9eeaf794f0147400b1718cdchunk-89777b838d5447c7bd1ec11282c4ee89chunk-b2f98bc7abb0c67d4c86055c7fd72218chunk-94bea83e7153fc2064aa382b494936a1chunk-8590d9263cd2cd4fa583c432fc54e6c3chunk-54bdd22db1f84a965b5f4c06c9216d8dchunk-90b95db5c53e4364a6bee36b7aa4d70fchunk-e7637ff18c5ded77a68cce0a87883fadchunk-90d5764e301321c087f5a8f78b73a145chunk-74e2466de2f67fd710ef2f20c0a8d9e0chunk-da2472b4ef2a535b62908f14d0fb0ca9chunk-19d72c57ae3408758b18d2568e86dc6bchunk-43c9bee23adfa77aa9dedd22401bba7d'} -2024-10-30 05:10:48,722 - lightrag - INFO - _check_edge_existence:query:MATCH (a:`A CHRISTMAS CAROL`)-[r]-(b:`PROJECT GUTENBERG`) RETURN COUNT(r) > 0 AS edgeExists:result:True -2024-10-30 05:10:48,879 - lightrag - INFO - get_edge:query: - MATCH (source:`A CHRISTMAS CAROL`)-[r]-(target:`PROJECT GUTENBERG`) - RETURN r - :result:, ) type='DIRECTED' properties={'keywords': '"publication, accessibility"', 'description': '"A Christmas Carol is published and distributed freely through Project Gutenberg, making it accessible to a global audience."', 'weight': 9.0, 'source_id': 'chunk-9e3921da66da5d761ab73cd849af6c43'}> -2024-10-30 05:10:49,042 - lightrag - INFO - _check_edge_existence:query:MATCH (a:`A CHRISTMAS CAROL`)-[r]-(b:`CHARLES DICKENS`) RETURN COUNT(r) > 0 AS edgeExists:result:True -2024-10-30 05:10:49,203 - lightrag - INFO - get_edge:query: - MATCH (source:`A CHRISTMAS CAROL`)-[r]-(target:`CHARLES DICKENS`) - RETURN r - :result:, ) type='DIRECTED' properties={'keywords': '"author, literary impact"', 'description': '"Charles Dickens authored A Christmas Carol, which reflects his views on Victorian society and social issues."', 'weight': 10.0, 'source_id': 'chunk-9e3921da66da5d761ab73cd849af6c43'}> -2024-10-30 05:10:49,352 - lightrag - INFO - _check_edge_existence:query:MATCH (a:`A CHRISTMAS CAROL`)-[r]-(b:`ARTHUR RACKHAM`) RETURN COUNT(r) > 0 AS edgeExists:result:True -2024-10-30 05:10:49,493 - lightrag - INFO - get_edge:query: - MATCH (source:`A CHRISTMAS CAROL`)-[r]-(target:`ARTHUR RACKHAM`) - RETURN r - :result:, ) type='DIRECTED' properties={'keywords': '"illustration, artistic contribution"', 'description': '"Arthur Rackham illustrated A Christmas Carol, enhancing the visual experience of Dickens\' narrative."', 'weight': 8.0, 'source_id': 'chunk-9e3921da66da5d761ab73cd849af6c43'}> -2024-10-30 05:10:49,644 - lightrag - INFO - _check_edge_existence:query:MATCH (a:`BOB CRATCHIT`)-[r]-(b:`EBENEZER SCROOGE`) RETURN COUNT(r) > 0 AS edgeExists:result:True -2024-10-30 05:10:49,789 - lightrag - INFO - get_edge:query: - MATCH (source:`BOB CRATCHIT`)-[r]-(target:`EBENEZER SCROOGE`) - RETURN r - :result:, ) type='DIRECTED' properties={'keywords': '"workplace dynamics, social contrast"', 'description': '"Bob Cratchit works for Ebenezer Scrooge, embodying the struggles of the working class in contrast to Scrooge\'s miserliness."', 'weight': 7.0, 'source_id': 'chunk-9e3921da66da5d761ab73cd849af6c43'}> -2024-10-30 05:10:49,941 - lightrag - INFO - _check_edge_existence:query:MATCH (a:`BOB CRATCHIT`)-[r]-(b:`TINY TIM`) RETURN COUNT(r) > 0 AS edgeExists:result:True -2024-10-30 05:10:50,083 - lightrag - INFO - get_edge:query: - MATCH (source:`BOB CRATCHIT`)-[r]-(target:`TINY TIM`) - RETURN r - :result:, ) type='DIRECTED' properties={'keywords': '"family bond, care""family bond, love""family love, vulnerability""family, struggle""family, support""father-son bond, care"', 'description': '"Bob Cratchit deeply cares for Tiny Tim, demonstrating emotional support and love, especially in moments of distress.""Bob Cratchit expresses love and concern for his son Tiny Tim during the Christmas dinner, highlighting a strong familial bond.""Bob Cratchit is Tiny Tim\'s father, and the turkey Scrooge plans to send will impact Tiny Tim\'s well-being.""Bob Cratchit is Tiny Tim\'s father, and their relationship highlights the theme of family struggle and love, especially during Christmas.""Bob Cratchit shows deep care for Tiny Tim, helping him and expressing pride in his strength and character despite challenges.""Bob Cratchit\'s concern for Tiny Tim illustrates the deep familial love and the challenges facing the Cratchit family."', 'weight': 48.0, 'source_id': 'chunk-83ac129dc9b56f84c46760d153d68e93chunk-503f0bfa5453467c7c61d160a3540ecachunk-1d4b58de5429cd1261370c231c8673e8chunk-90b95db5c53e4364a6bee36b7aa4d70fchunk-94bea83e7153fc2064aa382b494936a1chunk-7e2e7ebcc19a53b399dc03aded4743e7'}> -2024-10-30 05:10:50,233 - lightrag - INFO - _check_edge_existence:query:MATCH (a:`EBENEZER SCROOGE`)-[r]-(b:`MR. FEZZIWIG`) RETURN COUNT(r) > 0 AS edgeExists:result:False -2024-10-30 05:10:50,415 - lightrag - INFO - _check_node_exists:query:MATCH (n:`EBENEZER SCROOGE`) RETURN count(n) > 0 AS node_exists:result:True -2024-10-30 05:10:50,591 - lightrag - INFO - _check_node_exists:query:MATCH (n:`MR. FEZZIWIG`) RETURN count(n) > 0 AS node_exists:result:True -2024-10-30 05:10:50,855 - lightrag - INFO - _do_upsert_edge:query: - MATCH (source:`EBENEZER SCROOGE`) - WITH source - MATCH (target:`MR. FEZZIWIG`) - MERGE (source)-[r:DIRECTED]->(target) - SET r += $properties - RETURN r - :result:None -2024-10-30 05:10:51,113 - lightrag - INFO - _check_edge_existence:query:MATCH (a:`GHOST OF CHRISTMAS PAST`)-[r]-(b:`SCROOGE`) RETURN COUNT(r) > 0 AS edgeExists:result:True -2024-10-30 05:10:51,251 - lightrag - INFO - get_edge:query: - MATCH (source:`GHOST OF CHRISTMAS PAST`)-[r]-(target:`SCROOGE`) - RETURN r - :result:, ) type='DIRECTED' properties={'keywords': '"reflection, past influence"', 'description': '"Scrooge engages with the Ghost of Christmas Past to explore his earlier life, seeking insight into his current state."', 'weight': 8.0, 'source_id': 'chunk-bb21d58d36c6306fd8810ddd51c4a971'}> -2024-10-30 05:10:51,406 - lightrag - INFO - _check_edge_existence:query:MATCH (a:`GHOST OF CHRISTMAS PRESENT`)-[r]-(b:`SCROOGE`) RETURN COUNT(r) > 0 AS edgeExists:result:True -2024-10-30 05:10:51,594 - lightrag - INFO - get_edge:query: - MATCH (source:`GHOST OF CHRISTMAS PRESENT`)-[r]-(target:`SCROOGE`) - RETURN r - :result:, ) type='DIRECTED' properties={'keywords': '"transformation, mentoring"', 'description': '"Scrooge is led by the Ghost of Christmas Present, who teaches him valuable lessons about generosity and compassion."', 'weight': 10.0, 'source_id': 'chunk-843b5b2f944c7413d9ca876e2e2f151f'}> -2024-10-30 05:10:51,781 - lightrag - INFO - _check_edge_existence:query:MATCH (a:`GHOST OF CHRISTMAS YET TO COME`)-[r]-(b:`SCROOGE`) RETURN COUNT(r) > 0 AS edgeExists:result:False -2024-10-30 05:10:51,959 - lightrag - INFO - _check_node_exists:query:MATCH (n:`GHOST OF CHRISTMAS YET TO COME`) RETURN count(n) > 0 AS node_exists:result:True -2024-10-30 05:10:52,136 - lightrag - INFO - _check_node_exists:query:MATCH (n:`SCROOGE`) RETURN count(n) > 0 AS node_exists:result:True -2024-10-30 05:10:52,323 - lightrag - INFO - _do_upsert_edge:query: - MATCH (source:`GHOST OF CHRISTMAS YET TO COME`) - WITH source - MATCH (target:`SCROOGE`) - MERGE (source)-[r:DIRECTED]->(target) - SET r += $properties - RETURN r - :result:None -2024-10-30 05:10:52,529 - lightrag - INFO - _check_edge_existence:query:MATCH (a:`FRED`)-[r]-(b:`SCROOGE`) RETURN COUNT(r) > 0 AS edgeExists:result:True -2024-10-30 05:10:52,668 - lightrag - INFO - get_edge:query: - MATCH (source:`FRED`)-[r]-(target:`SCROOGE`) - RETURN r - :result:, ) type='DIRECTED' properties={'keywords': '"family connection, goodwill""family connection, reconciliation""family, transformation""rejection, familial dynamics"', 'description': '"Scrooge and Fred share a familial bond, with Fred expressing goodwill and celebrating Scrooge despite his uncle\'s previous behavior.""Scrooge expresses a desire to visit Fred, which signifies a reconciliatory gesture toward his family.""Scrooge surprises Fred with his unexpected visit, indicating a shift in their familial relationship and Scrooge\'s attitude toward family.""Scrooge\'s interaction with Fred emphasizes his rejection of familial warmth during the Christmas season."', 'weight': 30.0, 'source_id': 'chunk-8f738cb25d60a7dab782162d9d0a25edchunk-94bea83e7153fc2064aa382b494936a1chunk-89777b838d5447c7bd1ec11282c4ee89chunk-e7637ff18c5ded77a68cce0a87883fad'}> -2024-10-30 05:10:52,813 - lightrag - INFO - _check_edge_existence:query:MATCH (a:`FRED`)-[r]-(b:`GHOST OF CHRISTMAS PRESENT`) RETURN COUNT(r) > 0 AS edgeExists:result:False -2024-10-30 05:10:52,989 - lightrag - INFO - _check_node_exists:query:MATCH (n:`FRED`) RETURN count(n) > 0 AS node_exists:result:True -2024-10-30 05:10:53,159 - lightrag - INFO - _check_node_exists:query:MATCH (n:`GHOST OF CHRISTMAS PRESENT`) RETURN count(n) > 0 AS node_exists:result:True -2024-10-30 05:10:53,347 - lightrag - INFO - _do_upsert_edge:query: - MATCH (source:`FRED`) - WITH source - MATCH (target:`GHOST OF CHRISTMAS PRESENT`) - MERGE (source)-[r:DIRECTED]->(target) - SET r += $properties - RETURN r - :result:None -2024-10-30 05:10:53,545 - lightrag - INFO - _check_edge_existence:query:MATCH (a:`BOB CRATCHIT`)-[r]-(b:`MRS. CRATCHIT`) RETURN COUNT(r) > 0 AS edgeExists:result:True -2024-10-30 05:10:53,683 - lightrag - INFO - get_edge:query: - MATCH (source:`BOB CRATCHIT`)-[r]-(target:`MRS. CRATCHIT`) - RETURN r - :result:, ) type='DIRECTED' properties={'keywords': '"family unity, celebration""partnership, family unity"', 'description': '"Bob and Mrs. Cratchit represent a family working together to create a festive and warm environment despite their limited means.""Mrs. Cratchit supports Bob Cratchit in his parenting efforts and encourages the family’s unity during challenging times."', 'weight': 16.0, 'source_id': 'chunk-1d4b58de5429cd1261370c231c8673e8chunk-b0f459f5af1c3a5e0b92cbe4ee48b77b'}> -2024-10-30 05:10:53,826 - lightrag - INFO - _check_edge_existence:query:MATCH (a:`GHOST OF CHRISTMAS PRESENT`)-[r]-(b:`TINY TIM`) RETURN COUNT(r) > 0 AS edgeExists:result:False -2024-10-30 05:10:53,989 - lightrag - INFO - _check_node_exists:query:MATCH (n:`GHOST OF CHRISTMAS PRESENT`) RETURN count(n) > 0 AS node_exists:result:True -2024-10-30 05:10:54,160 - lightrag - INFO - _check_node_exists:query:MATCH (n:`TINY TIM`) RETURN count(n) > 0 AS node_exists:result:True -2024-10-30 05:10:54,344 - lightrag - INFO - _do_upsert_edge:query: - MATCH (source:`GHOST OF CHRISTMAS PRESENT`) - WITH source - MATCH (target:`TINY TIM`) - MERGE (source)-[r:DIRECTED]->(target) - SET r += $properties - RETURN r - :result:None -2024-10-30 05:10:54,536 - lightrag - INFO - _check_edge_existence:query:MATCH (a:`BOB CRATCHIT`)-[r]-(b:`MARTHA CRATCHIT`) RETURN COUNT(r) > 0 AS edgeExists:result:True -2024-10-30 05:10:54,675 - lightrag - INFO - get_edge:query: - MATCH (source:`BOB CRATCHIT`)-[r]-(target:`MARTHA CRATCHIT`) - RETURN r - :result:, ) type='DIRECTED' properties={'keywords': '"family bond, affection"', 'description': '"Martha shows affection for Bob Cratchit upon her arrival, indicating a warm father-daughter relationship within the family."', 'weight': 7.0, 'source_id': 'chunk-7e2e7ebcc19a53b399dc03aded4743e7'}> -2024-10-30 05:10:54,820 - lightrag - INFO - _check_edge_existence:query:MATCH (a:`MR. FEZZIWIG`)-[r]-(b:`SCROOGE`) RETURN COUNT(r) > 0 AS edgeExists:result:False -2024-10-30 05:10:55,006 - lightrag - INFO - _check_node_exists:query:MATCH (n:`MR. FEZZIWIG`) RETURN count(n) > 0 AS node_exists:result:True -2024-10-30 05:10:55,180 - lightrag - INFO - _check_node_exists:query:MATCH (n:`SCROOGE`) RETURN count(n) > 0 AS node_exists:result:True -2024-10-30 05:10:55,361 - lightrag - INFO - _do_upsert_edge:query: - MATCH (source:`MR. FEZZIWIG`) - WITH source - MATCH (target:`SCROOGE`) - MERGE (source)-[r:DIRECTED]->(target) - SET r += $properties - RETURN r - :result:None -2024-10-30 05:10:55,575 - lightrag - INFO - _check_edge_existence:query:MATCH (a:`GHOST OF JACOB MARLEY`)-[r]-(b:`SCROOGE`) RETURN COUNT(r) > 0 AS edgeExists:result:False -2024-10-30 05:10:55,771 - lightrag - INFO - _check_node_exists:query:MATCH (n:`GHOST OF JACOB MARLEY`) RETURN count(n) > 0 AS node_exists:result:True -2024-10-30 05:10:55,937 - lightrag - INFO - _check_node_exists:query:MATCH (n:`SCROOGE`) RETURN count(n) > 0 AS node_exists:result:True -2024-10-30 05:10:56,123 - lightrag - INFO - _do_upsert_edge:query: - MATCH (source:`GHOST OF JACOB MARLEY`) - WITH source - MATCH (target:`SCROOGE`) - MERGE (source)-[r:DIRECTED]->(target) - SET r += $properties - RETURN r - :result:None -2024-10-30 05:10:56,312 - lightrag - INFO - _check_edge_existence:query:MATCH (a:`FAN`)-[r]-(b:`SCROOGE`) RETURN COUNT(r) > 0 AS edgeExists:result:False -2024-10-30 05:10:56,486 - lightrag - INFO - _check_node_exists:query:MATCH (n:`FAN`) RETURN count(n) > 0 AS node_exists:result:True -2024-10-30 05:10:56,648 - lightrag - INFO - _check_node_exists:query:MATCH (n:`SCROOGE`) RETURN count(n) > 0 AS node_exists:result:True -2024-10-30 05:10:56,842 - lightrag - INFO - _do_upsert_edge:query: - MATCH (source:`FAN`) - WITH source - MATCH (target:`SCROOGE`) - MERGE (source)-[r:DIRECTED]->(target) - SET r += $properties - RETURN r - :result:None -2024-10-30 05:10:57,032 - lightrag - INFO - _check_edge_existence:query:MATCH (a:`MR. FEZZIWIG`)-[r]-(b:`MRS. FEZZIWIG`) RETURN COUNT(r) > 0 AS edgeExists:result:False -2024-10-30 05:10:57,192 - lightrag - INFO - _check_node_exists:query:MATCH (n:`MR. FEZZIWIG`) RETURN count(n) > 0 AS node_exists:result:True -2024-10-30 05:10:57,364 - lightrag - INFO - _check_node_exists:query:MATCH (n:`MRS. FEZZIWIG`) RETURN count(n) > 0 AS node_exists:result:True -2024-10-30 05:10:57,551 - lightrag - INFO - _do_upsert_edge:query: - MATCH (source:`MR. FEZZIWIG`) - WITH source - MATCH (target:`MRS. FEZZIWIG`) - MERGE (source)-[r:DIRECTED]->(target) - SET r += $properties - RETURN r - :result:None -2024-10-30 05:10:57,735 - lightrag - INFO - _check_edge_existence:query:MATCH (a:`FEZZIWIG`)-[r]-(b:`SCROOGE`) RETURN COUNT(r) > 0 AS edgeExists:result:True -2024-10-30 05:10:57,872 - lightrag - INFO - get_edge:query: - MATCH (source:`FEZZIWIG`)-[r]-(target:`SCROOGE`) - RETURN r - :result:, ) type='DIRECTED' properties={'keywords': '"kindness, mentorship""reflection, influence"', 'description': '"Scrooge reflects positively on Fezziwig\'s past actions, acknowledging the happiness and gratitude he inspired in people.""Scrooge reminisces about Fezziwig\'s kindness during his apprenticeship, comparing his past self to his current state."', 'weight': 16.0, 'source_id': 'chunk-b2f98bc7abb0c67d4c86055c7fd72218chunk-c6c248858d1b13ab7ee9ca13c1aeed6b'}> -2024-10-30 05:10:58,021 - lightrag - INFO - _check_edge_existence:query:MATCH (a:`MARLEY`)-[r]-(b:`SCROOGE`) RETURN COUNT(r) > 0 AS edgeExists:result:True -2024-10-30 05:10:58,157 - lightrag - INFO - get_edge:query: - MATCH (source:`MARLEY`)-[r]-(target:`SCROOGE`) - RETURN r - :result:, ) type='DIRECTED' properties={'keywords': '"mourning, partnership""past influence, personal history""redemption, confrontation""supernatural connection, past relationships"', 'description': '"Marley’s influence and past relationship with Scrooge is indicated, suggesting a connection that impacts Scrooge\'s character growth.""Scrooge is deeply affected by Marley\'s death, illustrated through his role as the sole executor and mourner of Marley.""Scrooge reflects on Marley, revealing his past connection and the haunting aspect of Marley\'s death, which influences Scrooge\'s character arc.""Scrooge\'s encounter with Marley’s Ghost serves as a confrontation with his past self and the life choices he regrets, depicting the theme of redemption."', 'weight': 32.0, 'source_id': 'chunk-d9aac3484185ac66045df92214d245d5chunk-843b5b2f944c7413d9ca876e2e2f151fchunk-89777b838d5447c7bd1ec11282c4ee89chunk-9c43dac2fcd5b578242d907ea6f8fc7b'}> -2024-10-30 05:10:58,296 - lightrag - INFO - _check_edge_existence:query:MATCH (a:`CHRISTMAS`)-[r]-(b:`SCROOGE`) RETURN COUNT(r) > 0 AS edgeExists:result:True -2024-10-30 05:10:58,433 - lightrag - INFO - get_edge:query: - MATCH (source:`CHRISTMAS`)-[r]-(target:`SCROOGE`) - RETURN r - :result:, ) type='DIRECTED' properties={'keywords': '"character development, festive spirit""conflict, holiday spirit""contrast, seasonal significance""disconnection, festive spirit""holiday significance, reflection""reflection, redemption""seasonal significance, emotional reflection""transformation, festive spirit""transformation, holiday significance""transformation, holiday spirit"', 'description': '"Christmas is a central theme that invokes Scrooge\'s memories of his past, his feelings of loneliness, and his desire to connect.""Christmas serves as a focal point for Scrooge\'s emotional reflections on joy and his disconnect from societal celebrations.""Christmas serves as the catalyst for Scrooge\'s transformation, highlighting themes of giving and compassion.""Scrooge expresses disdain for Christmas, viewing it as a burden rather than a celebration.""Scrooge\'s attitude towards Christmas highlights his disconnection from the festive spirit and charity associated with the holiday.""Scrooge\'s character contrasts sharply with the joy of Christmas, highlighting his disdain for the festive season.""Scrooge\'s experience during the Christmas event highlights the transformation of his character and the spirit of the holiday.""Scrooge\'s journey with the Spirit ultimately leads him to reflect on the meaning of Christmas and its impact on human connections.""Scrooge\'s transformation and newfound joy are directly linked to the spirit of Christmas.""Scrooge\'s transformation is centered around the spirit of Christmas, which he learns to embrace and celebrate.""Scrooge\'s views on Christmas evolve as he witnesses the joy and familial love associated with the holiday, marking a shift in his character."', 'weight': 95.0, 'source_id': 'chunk-91614df5cb74cbe5e109a338a82041e9chunk-8f738cb25d60a7dab782162d9d0a25edchunk-e7637ff18c5ded77a68cce0a87883fadchunk-8590d9263cd2cd4fa583c432fc54e6c3chunk-54bdd22db1f84a965b5f4c06c9216d8dchunk-90d5764e301321c087f5a8f78b73a145chunk-da2472b4ef2a535b62908f14d0fb0ca9chunk-94bea83e7153fc2064aa382b494936a1chunk-89777b838d5447c7bd1ec11282c4ee89chunk-99b0ec7f7e006561352b5d65e849611dchunk-74e2466de2f67fd710ef2f20c0a8d9e0'}> -2024-10-30 05:10:58,578 - lightrag - INFO - _check_edge_existence:query:MATCH (a:`SCROOGE`)-[r]-(b:`THE WAREHOUSE`) RETURN COUNT(r) > 0 AS edgeExists:result:True -2024-10-30 05:10:58,715 - lightrag - INFO - get_edge:query: - MATCH (source:`SCROOGE`)-[r]-(target:`THE WAREHOUSE`) - RETURN r - :result:, ) type='DIRECTED' properties={'keywords': '"memories, apprenticeship"', 'description': '"Scrooge\'s connection to the Warehouse emphasizes his memories of apprenticeship and his past experiences."', 'weight': 8.0, 'source_id': 'chunk-c6c248858d1b13ab7ee9ca13c1aeed6b'}> -2024-10-30 05:10:58,857 - lightrag - INFO - _check_edge_existence:query:MATCH (a:`JOE`)-[r]-(b:`THE WOMAN`) RETURN COUNT(r) > 0 AS edgeExists:result:True -2024-10-30 05:10:58,996 - lightrag - INFO - get_edge:query: - MATCH (source:`JOE`)-[r]-(target:`THE WOMAN`) - RETURN r - :result:, ) type='DIRECTED' properties={'keywords': '"dialogue, humor, death""humor, interaction"', 'description': '"Joe and The Woman engage in dialogue about the deceased\'s belongings, showcasing their interactions and differing attitudes towards death.""Joe and The Woman share a humorous exchange about the bed-curtains, reflecting the jovial spirit of the gathering."', 'weight': 12.0, 'source_id': 'chunk-89777b838d5447c7bd1ec11282c4ee89chunk-e1f29eeadc1d8ab46dc8a0bbd3c56b64'}> -2024-10-30 05:10:59,134 - lightrag - INFO - _check_edge_existence:query:MATCH (a:`SCROOGE`)-[r]-(b:`TIM`) RETURN COUNT(r) > 0 AS edgeExists:result:False -2024-10-30 05:10:59,293 - lightrag - INFO - _check_node_exists:query:MATCH (n:`SCROOGE`) RETURN count(n) > 0 AS node_exists:result:True -2024-10-30 05:10:59,468 - lightrag - INFO - _check_node_exists:query:MATCH (n:`TIM`) RETURN count(n) > 0 AS node_exists:result:True -2024-10-30 05:10:59,653 - lightrag - INFO - _do_upsert_edge:query: - MATCH (source:`SCROOGE`) - WITH source - MATCH (target:`TIM`) - MERGE (source)-[r:DIRECTED]->(target) - SET r += $properties - RETURN r - :result:None -2024-10-30 05:10:59,840 - lightrag - INFO - _check_edge_existence:query:MATCH (a:`OLD SCROOGE`)-[r]-(b:`SCROOGE`) RETURN COUNT(r) > 0 AS edgeExists:result:False -2024-10-30 05:11:00,016 - lightrag - INFO - _check_node_exists:query:MATCH (n:`OLD SCROOGE`) RETURN count(n) > 0 AS node_exists:result:True -2024-10-30 05:11:00,175 - lightrag - INFO - _check_node_exists:query:MATCH (n:`SCROOGE`) RETURN count(n) > 0 AS node_exists:result:True -2024-10-30 05:11:00,357 - lightrag - INFO - _do_upsert_edge:query: - MATCH (source:`OLD SCROOGE`) - WITH source - MATCH (target:`SCROOGE`) - MERGE (source)-[r:DIRECTED]->(target) - SET r += $properties - RETURN r - :result:None -2024-10-30 05:11:00,546 - lightrag - INFO - _check_edge_existence:query:MATCH (a:`MARLEY'S FUNERAL`)-[r]-(b:`SCROOGE`) RETURN COUNT(r) > 0 AS edgeExists:result:False -2024-10-30 05:11:00,726 - lightrag - INFO - _check_node_exists:query:MATCH (n:`MARLEY'S FUNERAL`) RETURN count(n) > 0 AS node_exists:result:False -2024-10-30 05:11:00,904 - lightrag - INFO - _do_upsert:query: - MERGE (n:`MARLEY'S FUNERAL`) - SET n += $properties - RETURN n - :result:{'entity_type': '"UNKNOWN"', 'description': '"Marley\'s Funeral signifies the beginning of Scrooge\'s emotional journey, showcasing his reaction to loss and setting the stage for the narrative."', 'source_id': 'chunk-89777b838d5447c7bd1ec11282c4ee89'} -2024-10-30 05:11:01,067 - lightrag - INFO - _check_node_exists:query:MATCH (n:`SCROOGE`) RETURN count(n) > 0 AS node_exists:result:True -2024-10-30 05:11:01,260 - lightrag - INFO - _do_upsert_edge:query: - MATCH (source:`MARLEY'S FUNERAL`) - WITH source - MATCH (target:`SCROOGE`) - MERGE (source)-[r:DIRECTED]->(target) - SET r += $properties - RETURN r - :result:None -2024-10-30 05:11:01,450 - lightrag - INFO - _check_edge_existence:query:MATCH (a:`SCROOGE`)-[r]-(b:`SCROOGE'S NEPHEW`) RETURN COUNT(r) > 0 AS edgeExists:result:True -2024-10-30 05:11:01,591 - lightrag - INFO - get_edge:query: - MATCH (source:`SCROOGE`)-[r]-(target:`SCROOGE'S NEPHEW`) - RETURN r - :result:, ) type='DIRECTED' properties={'keywords': '"family conflict, differing perspectives""family dynamics, contrasting views""family dynamics, opposing views"', 'description': '"Scrooge\'s Nephew contrasts with Scrooge, advocating for merriment and showing pity for his uncle\'s ill tempers.""Scrooge\'s Nephew tries to cheer Scrooge up and promote the joy of Christmas, but is met with rejection and negativity.""Scrooge\'s Nephew tries to convince Scrooge of the joys of Christmas, illustrating the conflict between their differing views on the holiday."', 'weight': 24.0, 'source_id': 'chunk-773d0df1dd25c356f7b771d780583e09chunk-74e2466de2f67fd710ef2f20c0a8d9e0chunk-5dac41b3f9eeaf794f0147400b1718cd'}> -2024-10-30 05:11:01,731 - lightrag - INFO - _check_edge_existence:query:MATCH (a:`CHRISTMAS`)-[r]-(b:`SCROOGE'S NEPHEW`) RETURN COUNT(r) > 0 AS edgeExists:result:True -2024-10-30 05:11:01,877 - lightrag - INFO - get_edge:query: - MATCH (source:`CHRISTMAS`)-[r]-(target:`SCROOGE'S NEPHEW`) - RETURN r - :result:, ) type='DIRECTED' properties={'keywords': '"advocacy for holiday spirit, family dynamics"', 'description': '"Scrooge\'s Nephew defends the positive aspects of Christmas, contrasting Scrooge\'s view that the holiday is pointless."', 'weight': 9.0, 'source_id': 'chunk-5dac41b3f9eeaf794f0147400b1718cd'}> -2024-10-30 05:11:02,026 - lightrag - INFO - _check_edge_existence:query:MATCH (a:`COUNTING-HOUSE`)-[r]-(b:`SCROOGE`) RETURN COUNT(r) > 0 AS edgeExists:result:False -2024-10-30 05:11:02,198 - lightrag - INFO - _check_node_exists:query:MATCH (n:`COUNTING-HOUSE`) RETURN count(n) > 0 AS node_exists:result:True -2024-10-30 05:11:02,356 - lightrag - INFO - _check_node_exists:query:MATCH (n:`SCROOGE`) RETURN count(n) > 0 AS node_exists:result:True -2024-10-30 05:11:02,543 - lightrag - INFO - _do_upsert_edge:query: - MATCH (source:`COUNTING-HOUSE`) - WITH source - MATCH (target:`SCROOGE`) - MERGE (source)-[r:DIRECTED]->(target) - SET r += $properties - RETURN r - :result:None -2024-10-30 05:11:02,724 - lightrag - INFO - _check_edge_existence:query:MATCH (a:`BEGGARS`)-[r]-(b:`SCROOGE`) RETURN COUNT(r) > 0 AS edgeExists:result:False -2024-10-30 05:11:02,896 - lightrag - INFO - _check_node_exists:query:MATCH (n:`BEGGARS`) RETURN count(n) > 0 AS node_exists:result:True -2024-10-30 05:11:03,060 - lightrag - INFO - _check_node_exists:query:MATCH (n:`SCROOGE`) RETURN count(n) > 0 AS node_exists:result:True -2024-10-30 05:11:03,248 - lightrag - INFO - _do_upsert_edge:query: - MATCH (source:`BEGGARS`) - WITH source - MATCH (target:`SCROOGE`) - MERGE (source)-[r:DIRECTED]->(target) - SET r += $properties - RETURN r - :result:None -2024-10-30 05:11:03,434 - lightrag - INFO - _check_edge_existence:query:MATCH (a:`CHILDREN`)-[r]-(b:`SCROOGE`) RETURN COUNT(r) > 0 AS edgeExists:result:True -2024-10-30 05:11:03,590 - lightrag - INFO - get_edge:query: - MATCH (source:`CHILDREN`)-[r]-(target:`SCROOGE`) - RETURN r - :result:, ) type='DIRECTED' properties={'keywords': '"longing, innocence"', 'description': '"Scrooge\'s reaction to the Children he observes in his memories reveals his longing for the happiness he once knew but has since lost."', 'weight': 7.0, 'source_id': 'chunk-bb21d58d36c6306fd8810ddd51c4a971'}> -2024-10-30 05:11:03,766 - lightrag - INFO - _check_edge_existence:query:MATCH (a:`COLD WEATHER`)-[r]-(b:`SCROOGE`) RETURN COUNT(r) > 0 AS edgeExists:result:False -2024-10-30 05:11:03,942 - lightrag - INFO - _check_node_exists:query:MATCH (n:`COLD WEATHER`) RETURN count(n) > 0 AS node_exists:result:True -2024-10-30 05:11:04,098 - lightrag - INFO - _check_node_exists:query:MATCH (n:`SCROOGE`) RETURN count(n) > 0 AS node_exists:result:True -2024-10-30 05:11:04,288 - lightrag - INFO - _do_upsert_edge:query: - MATCH (source:`COLD WEATHER`) - WITH source - MATCH (target:`SCROOGE`) - MERGE (source)-[r:DIRECTED]->(target) - SET r += $properties - RETURN r - :result:None -2024-10-30 05:11:04,476 - lightrag - INFO - _check_edge_existence:query:MATCH (a:`FOG`)-[r]-(b:`SCROOGE`) RETURN COUNT(r) > 0 AS edgeExists:result:True -2024-10-30 05:11:04,614 - lightrag - INFO - get_edge:query: - MATCH (source:`FOG`)-[r]-(target:`SCROOGE`) - RETURN r - :result:, ) type='DIRECTED' properties={'keywords': '"atmosphere, emotional reflection"', 'description': '"Fog represents the obscured vision of Scrooge\'s soul and emotions, aligning with his unknowable nature."', 'weight': 8.0, 'source_id': 'chunk-d9aac3484185ac66045df92214d245d5'}> -2024-10-30 05:11:04,756 - lightrag - INFO - _check_edge_existence:query:MATCH (a:`COURT`)-[r]-(b:`SCROOGE`) RETURN COUNT(r) > 0 AS edgeExists:result:False -2024-10-30 05:11:04,931 - lightrag - INFO - _check_node_exists:query:MATCH (n:`COURT`) RETURN count(n) > 0 AS node_exists:result:True -2024-10-30 05:11:05,094 - lightrag - INFO - _check_node_exists:query:MATCH (n:`SCROOGE`) RETURN count(n) > 0 AS node_exists:result:True -2024-10-30 05:11:05,281 - lightrag - INFO - _do_upsert_edge:query: - MATCH (source:`COURT`) - WITH source - MATCH (target:`SCROOGE`) - MERGE (source)-[r:DIRECTED]->(target) - SET r += $properties - RETURN r - :result:None -2024-10-30 05:11:05,472 - lightrag - INFO - _check_edge_existence:query:MATCH (a:`MARLEY`)-[r]-(b:`SCROOGE AND MARLEY'S`) RETURN COUNT(r) > 0 AS edgeExists:result:False -2024-10-30 05:11:05,643 - lightrag - INFO - _check_node_exists:query:MATCH (n:`MARLEY`) RETURN count(n) > 0 AS node_exists:result:True -2024-10-30 05:11:05,815 - lightrag - INFO - _check_node_exists:query:MATCH (n:`SCROOGE AND MARLEY'S`) RETURN count(n) > 0 AS node_exists:result:True -2024-10-30 05:11:06,002 - lightrag - INFO - _do_upsert_edge:query: - MATCH (source:`MARLEY`) - WITH source - MATCH (target:`SCROOGE AND MARLEY'S`) - MERGE (source)-[r:DIRECTED]->(target) - SET r += $properties - RETURN r - :result:None -2024-10-30 05:11:06,186 - lightrag - INFO - _check_edge_existence:query:MATCH (a:`CLERK`)-[r]-(b:`SCROOGE`) RETURN COUNT(r) > 0 AS edgeExists:result:True -2024-10-30 05:11:06,325 - lightrag - INFO - get_edge:query: - MATCH (source:`CLERK`)-[r]-(target:`SCROOGE`) - RETURN r - :result:, ) type='DIRECTED' properties={'keywords': '"employment relationship, respect"', 'description': '"The Clerk communicates with Scrooge about his work, highlighting the lack of mutual respect in their employer-employee relationship."', 'weight': 5.0, 'source_id': 'chunk-d9aac3484185ac66045df92214d245d5'}> -2024-10-30 05:11:06,469 - lightrag - INFO - _check_edge_existence:query:MATCH (a:`SCROOGE`)-[r]-(b:`THE GENTLEMEN`) RETURN COUNT(r) > 0 AS edgeExists:result:False -2024-10-30 05:11:06,737 - lightrag - INFO - _check_node_exists:query:MATCH (n:`SCROOGE`) RETURN count(n) > 0 AS node_exists:result:True -2024-10-30 05:11:06,918 - lightrag - INFO - _check_node_exists:query:MATCH (n:`THE GENTLEMEN`) RETURN count(n) > 0 AS node_exists:result:True -2024-10-30 05:11:07,104 - lightrag - INFO - _do_upsert_edge:query: - MATCH (source:`SCROOGE`) - WITH source - MATCH (target:`THE GENTLEMEN`) - MERGE (source)-[r:DIRECTED]->(target) - SET r += $properties - RETURN r - :result:None -2024-10-30 05:11:07,291 - lightrag - INFO - _check_edge_existence:query:MATCH (a:`POOR AND DESTITUTE`)-[r]-(b:`SCROOGE`) RETURN COUNT(r) > 0 AS edgeExists:result:False -2024-10-30 05:11:07,464 - lightrag - INFO - _check_node_exists:query:MATCH (n:`POOR AND DESTITUTE`) RETURN count(n) > 0 AS node_exists:result:True -2024-10-30 05:11:07,622 - lightrag - INFO - _check_node_exists:query:MATCH (n:`SCROOGE`) RETURN count(n) > 0 AS node_exists:result:True -2024-10-30 05:11:07,810 - lightrag - INFO - _do_upsert_edge:query: - MATCH (source:`POOR AND DESTITUTE`) - WITH source - MATCH (target:`SCROOGE`) - MERGE (source)-[r:DIRECTED]->(target) - SET r += $properties - RETURN r - :result:None -2024-10-30 05:11:07,996 - lightrag - INFO - _check_edge_existence:query:MATCH (a:`CHRISTMAS-TIME`)-[r]-(b:`SCROOGE'S NEPHEW`) RETURN COUNT(r) > 0 AS edgeExists:result:False -2024-10-30 05:11:08,172 - lightrag - INFO - _check_node_exists:query:MATCH (n:`CHRISTMAS-TIME`) RETURN count(n) > 0 AS node_exists:result:True -2024-10-30 05:11:08,349 - lightrag - INFO - _check_node_exists:query:MATCH (n:`SCROOGE'S NEPHEW`) RETURN count(n) > 0 AS node_exists:result:True -2024-10-30 05:11:08,539 - lightrag - INFO - _do_upsert_edge:query: - MATCH (source:`CHRISTMAS-TIME`) - WITH source - MATCH (target:`SCROOGE'S NEPHEW`) - MERGE (source)-[r:DIRECTED]->(target) - SET r += $properties - RETURN r - :result:None -2024-10-30 05:11:08,723 - lightrag - INFO - _check_edge_existence:query:MATCH (a:`BEDLAM`)-[r]-(b:`SCROOGE`) RETURN COUNT(r) > 0 AS edgeExists:result:False -2024-10-30 05:11:08,903 - lightrag - INFO - _check_node_exists:query:MATCH (n:`BEDLAM`) RETURN count(n) > 0 AS node_exists:result:True -2024-10-30 05:11:09,065 - lightrag - INFO - _check_node_exists:query:MATCH (n:`SCROOGE`) RETURN count(n) > 0 AS node_exists:result:True -2024-10-30 05:11:09,271 - lightrag - INFO - _do_upsert_edge:query: - MATCH (source:`BEDLAM`) - WITH source - MATCH (target:`SCROOGE`) - MERGE (source)-[r:DIRECTED]->(target) - SET r += $properties - RETURN r - :result:None -2024-10-30 05:11:09,458 - lightrag - INFO - _check_edge_existence:query:MATCH (a:`SCROOGE`)-[r]-(b:`THE GENTLEMAN`) RETURN COUNT(r) > 0 AS edgeExists:result:True -2024-10-30 05:11:09,595 - lightrag - INFO - get_edge:query: - MATCH (source:`SCROOGE`)-[r]-(target:`THE GENTLEMAN`) - RETURN r - :result:, ) type='DIRECTED' properties={'keywords': '"charity, conflict of values"', 'description': '"Scrooge and The Gentleman have opposing views on charity and helping the poor during Christmas, showing a stark contrast in values."', 'weight': 8.0, 'source_id': 'chunk-90d5764e301321c087f5a8f78b73a145'}> -2024-10-30 05:11:09,745 - lightrag - INFO - _check_edge_existence:query:MATCH (a:`THE GENTLEMAN`)-[r]-(b:`THE POOR LAW`) RETURN COUNT(r) > 0 AS edgeExists:result:False -2024-10-30 05:11:09,922 - lightrag - INFO - _check_node_exists:query:MATCH (n:`THE GENTLEMAN`) RETURN count(n) > 0 AS node_exists:result:True -2024-10-30 05:11:10,099 - lightrag - INFO - _check_node_exists:query:MATCH (n:`THE POOR LAW`) RETURN count(n) > 0 AS node_exists:result:True -2024-10-30 05:11:10,289 - lightrag - INFO - _do_upsert_edge:query: - MATCH (source:`THE GENTLEMAN`) - WITH source - MATCH (target:`THE POOR LAW`) - MERGE (source)-[r:DIRECTED]->(target) - SET r += $properties - RETURN r - :result:None -2024-10-30 05:11:10,470 - lightrag - INFO - _check_edge_existence:query:MATCH (a:`THE POOR LAW`)-[r]-(b:`THE UNION WORKHOUSES`) RETURN COUNT(r) > 0 AS edgeExists:result:False -2024-10-30 05:11:10,630 - lightrag - INFO - _check_node_exists:query:MATCH (n:`THE POOR LAW`) RETURN count(n) > 0 AS node_exists:result:True -2024-10-30 05:11:10,799 - lightrag - INFO - _check_node_exists:query:MATCH (n:`THE UNION WORKHOUSES`) RETURN count(n) > 0 AS node_exists:result:True -2024-10-30 05:11:10,985 - lightrag - INFO - _do_upsert_edge:query: - MATCH (source:`THE POOR LAW`) - WITH source - MATCH (target:`THE UNION WORKHOUSES`) - MERGE (source)-[r:DIRECTED]->(target) - SET r += $properties - RETURN r - :result:None -2024-10-30 05:11:11,176 - lightrag - INFO - _check_edge_existence:query:MATCH (a:`THE LADY MAYOR`)-[r]-(b:`THE MANSION HOUSE`) RETURN COUNT(r) > 0 AS edgeExists:result:False -2024-10-30 05:11:11,351 - lightrag - INFO - _check_node_exists:query:MATCH (n:`THE LADY MAYOR`) RETURN count(n) > 0 AS node_exists:result:False -2024-10-30 05:11:11,525 - lightrag - INFO - _do_upsert:query: - MERGE (n:`THE LADY MAYOR`) - SET n += $properties - RETURN n - :result:{'entity_type': '"UNKNOWN"', 'description': '"The Lady Mayor prepares for Christmas festivities at the Mansion House, highlighting the importance of the event to the community."', 'source_id': 'chunk-90d5764e301321c087f5a8f78b73a145'} -2024-10-30 05:11:11,699 - lightrag - INFO - _check_node_exists:query:MATCH (n:`THE MANSION HOUSE`) RETURN count(n) > 0 AS node_exists:result:True -2024-10-30 05:11:11,884 - lightrag - INFO - _do_upsert_edge:query: - MATCH (source:`THE LADY MAYOR`) - WITH source - MATCH (target:`THE MANSION HOUSE`) - MERGE (source)-[r:DIRECTED]->(target) - SET r += $properties - RETURN r - :result:None -2024-10-30 05:11:12,074 - lightrag - INFO - _check_edge_existence:query:MATCH (a:`BOB CRATCHIT`)-[r]-(b:`SCROOGE`) RETURN COUNT(r) > 0 AS edgeExists:result:True -2024-10-30 05:11:12,210 - lightrag - INFO - get_edge:query: - MATCH (source:`BOB CRATCHIT`)-[r]-(target:`SCROOGE`) - RETURN r - :result:, ) type='DIRECTED' properties={'keywords': '"employment, generosity""employment, power dynamic""employment, social reflection""family dynamics, acknowledgment""generosity, relationship change""gratitude, redemption"', 'description': '"Bob Cratchit tries to maintain a positive atmosphere during the Christmas feast despite the negative association with Scrooge.""Bob praises Scrooge as \'The Founder of the Feast\', showing appreciation despite Scrooge’s previous miserliness.""Scrooge decides to send a turkey to Bob Cratchit, indicating a newfound kindness towards him and his family.""Scrooge is Bob Cratchit\'s employer, and he reflects on the challenges Bob faces regarding family and food on Christmas Day.".""Scrooge is the employer of Bob Cratchit, demonstrating a power dynamic characterized by Scrooge\'s harsh treatment and Bob\'s subservient role.""Scrooge reprimands Bob for arriving late, but ultimately decides to raise his salary, signaling a significant change in their employer-employee relationship."', 'weight': 40.0, 'source_id': 'chunk-503f0bfa5453467c7c61d160a3540ecachunk-90b95db5c53e4364a6bee36b7aa4d70fchunk-b0f459f5af1c3a5e0b92cbe4ee48b77bchunk-d9aac3484185ac66045df92214d245d5chunk-94bea83e7153fc2064aa382b494936a1chunk-19d72c57ae3408758b18d2568e86dc6b'}> -2024-10-30 05:11:12,349 - lightrag - INFO - _check_edge_existence:query:MATCH (a:`CHRISTMAS EVE`)-[r]-(b:`SCROOGE`) RETURN COUNT(r) > 0 AS edgeExists:result:False -2024-10-30 05:11:12,522 - lightrag - INFO - _check_node_exists:query:MATCH (n:`CHRISTMAS EVE`) RETURN count(n) > 0 AS node_exists:result:True -2024-10-30 05:11:12,681 - lightrag - INFO - _check_node_exists:query:MATCH (n:`SCROOGE`) RETURN count(n) > 0 AS node_exists:result:True -2024-10-30 05:11:12,866 - lightrag - INFO - _do_upsert_edge:query: - MATCH (source:`CHRISTMAS EVE`) - WITH source - MATCH (target:`SCROOGE`) - MERGE (source)-[r:DIRECTED]->(target) - SET r += $properties - RETURN r - :result:None -2024-10-30 05:11:13,053 - lightrag - INFO - _check_edge_existence:query:MATCH (a:`BOB CRATCHIT`)-[r]-(b:`CHRISTMAS EVE`) RETURN COUNT(r) > 0 AS edgeExists:result:True -2024-10-30 05:11:13,191 - lightrag - INFO - get_edge:query: - MATCH (source:`BOB CRATCHIT`)-[r]-(target:`CHRISTMAS EVE`) - RETURN r - :result:, ) type='DIRECTED' properties={'keywords': '"celebration, contrast"', 'description': '"Bob Cratchit embodies the joy of Christmas Eve while Scrooge\'s perspective starkly contrasts with Bob\'s happiness during the holiday season."', 'weight': 5.0, 'source_id': 'chunk-d9aac3484185ac66045df92214d245d5'}> -2024-10-30 05:11:13,336 - lightrag - INFO - _check_edge_existence:query:MATCH (a:`SCROOGE`)-[r]-(b:`THE COUNTING-HOUSE`) RETURN COUNT(r) > 0 AS edgeExists:result:True -2024-10-30 05:11:13,470 - lightrag - INFO - get_edge:query: - MATCH (source:`SCROOGE`)-[r]-(target:`THE COUNTING-HOUSE`) - RETURN r - :result:, ) type='DIRECTED' properties={'keywords': '"work environment, character development""work environment, personality reflection"', 'description': '"Scrooge\'s work environment reflects his personality, being cold and uninviting, mirroring his discontent with life.""The Counting-House is where Scrooge works, illustrating the environment that shapes his bleak personality."', 'weight': 14.0, 'source_id': 'chunk-d9aac3484185ac66045df92214d245d5chunk-74e2466de2f67fd710ef2f20c0a8d9e0'}> -2024-10-30 05:11:13,613 - lightrag - INFO - _check_edge_existence:query:MATCH (a:`SCROOGE`)-[r]-(b:`THE KNOCKER`) RETURN COUNT(r) > 0 AS edgeExists:result:True -2024-10-30 05:11:13,750 - lightrag - INFO - get_edge:query: - MATCH (source:`SCROOGE`)-[r]-(target:`THE KNOCKER`) - RETURN r - :result:, ) type='DIRECTED' properties={'keywords': '"appreciation, transformation""symbolism, transformation"', 'description': '"Scrooge admires the knocker at his door, marking a positive change in his attitude towards life and surroundings.""The Knocker, transforming into Marley\'s face, symbolizes Scrooge\'s ghostly past and impending redemption challenges."', 'weight': 15.0, 'source_id': 'chunk-d9aac3484185ac66045df92214d245d5chunk-8f738cb25d60a7dab782162d9d0a25ed'}> -2024-10-30 05:11:13,894 - lightrag - INFO - _check_edge_existence:query:MATCH (a:`SCROOGE`)-[r]-(b:`THE YARD`) RETURN COUNT(r) > 0 AS edgeExists:result:False -2024-10-30 05:11:14,055 - lightrag - INFO - _check_node_exists:query:MATCH (n:`SCROOGE`) RETURN count(n) > 0 AS node_exists:result:True -2024-10-30 05:11:14,234 - lightrag - INFO - _check_node_exists:query:MATCH (n:`THE YARD`) RETURN count(n) > 0 AS node_exists:result:True -2024-10-30 05:11:14,432 - lightrag - INFO - _do_upsert_edge:query: - MATCH (source:`SCROOGE`) - WITH source - MATCH (target:`THE YARD`) - MERGE (source)-[r:DIRECTED]->(target) - SET r += $properties - RETURN r - :result:None -2024-10-30 05:11:14,623 - lightrag - INFO - _check_edge_existence:query:MATCH (a:`SCROOGE`)-[r]-(b:`THE FOG AND FROST`) RETURN COUNT(r) > 0 AS edgeExists:result:False -2024-10-30 05:11:14,778 - lightrag - INFO - _check_node_exists:query:MATCH (n:`SCROOGE`) RETURN count(n) > 0 AS node_exists:result:True -2024-10-30 05:11:14,952 - lightrag - INFO - _check_node_exists:query:MATCH (n:`THE FOG AND FROST`) RETURN count(n) > 0 AS node_exists:result:True -2024-10-30 05:11:15,149 - lightrag - INFO - _do_upsert_edge:query: - MATCH (source:`SCROOGE`) - WITH source - MATCH (target:`THE FOG AND FROST`) - MERGE (source)-[r:DIRECTED]->(target) - SET r += $properties - RETURN r - :result:None -2024-10-30 05:11:15,335 - lightrag - INFO - _check_edge_existence:query:MATCH (a:`BOB CRATCHIT`)-[r]-(b:`THE COUNTING-HOUSE CLERK`) RETURN COUNT(r) > 0 AS edgeExists:result:False -2024-10-30 05:11:15,517 - lightrag - INFO - _check_node_exists:query:MATCH (n:`BOB CRATCHIT`) RETURN count(n) > 0 AS node_exists:result:True -2024-10-30 05:11:15,692 - lightrag - INFO - _check_node_exists:query:MATCH (n:`THE COUNTING-HOUSE CLERK`) RETURN count(n) > 0 AS node_exists:result:True -2024-10-30 05:11:15,874 - lightrag - INFO - _do_upsert_edge:query: - MATCH (source:`BOB CRATCHIT`) - WITH source - MATCH (target:`THE COUNTING-HOUSE CLERK`) - MERGE (source)-[r:DIRECTED]->(target) - SET r += $properties - RETURN r - :result:None -2024-10-30 05:11:16,066 - lightrag - INFO - _check_edge_existence:query:MATCH (a:`SCROOGE`)-[r]-(b:`THE GHOST OF MARLEY`) RETURN COUNT(r) > 0 AS edgeExists:result:True -2024-10-30 05:11:16,217 - lightrag - INFO - get_edge:query: - MATCH (source:`SCROOGE`)-[r]-(target:`THE GHOST OF MARLEY`) - RETURN r - :result:, ) type='DIRECTED' properties={'keywords': '"supernatural, moral reckoning"', 'description': '"The Ghost of Marley symbolizes Scrooge\'s past mistakes and serves as a catalyst for his transformation."', 'weight': 9.0, 'source_id': 'chunk-d9aac3484185ac66045df92214d245d5'}> -2024-10-30 05:11:16,359 - lightrag - INFO - _check_edge_existence:query:MATCH (a:`BOB CRATCHIT`)-[r]-(b:`CAMDEN TOWN`) RETURN COUNT(r) > 0 AS edgeExists:result:True -2024-10-30 05:11:16,497 - lightrag - INFO - get_edge:query: - MATCH (source:`BOB CRATCHIT`)-[r]-(target:`CAMDEN TOWN`) - RETURN r - :result:, ) type='DIRECTED' properties={'keywords': '"contrast, warmth"', 'description': '"Camden Town serves as a location representing warmth and family contrast to Scrooge\'s loneliness."', 'weight': 6.0, 'source_id': 'chunk-d9aac3484185ac66045df92214d245d5'}> -2024-10-30 05:11:16,635 - lightrag - INFO - _check_edge_existence:query:MATCH (a:`THE CANDLE`)-[r]-(b:`THE FOG AND FROST`) RETURN COUNT(r) > 0 AS edgeExists:result:False -2024-10-30 05:11:16,802 - lightrag - INFO - _check_node_exists:query:MATCH (n:`THE CANDLE`) RETURN count(n) > 0 AS node_exists:result:True -2024-10-30 05:11:16,979 - lightrag - INFO - _check_node_exists:query:MATCH (n:`THE FOG AND FROST`) RETURN count(n) > 0 AS node_exists:result:True -2024-10-30 05:11:17,169 - lightrag - INFO - _do_upsert_edge:query: - MATCH (source:`THE CANDLE`) - WITH source - MATCH (target:`THE FOG AND FROST`) - MERGE (source)-[r:DIRECTED]->(target) - SET r += $properties - RETURN r - :result:None -2024-10-30 05:11:17,360 - lightrag - INFO - _check_edge_existence:query:MATCH (a:`SCROOGE`)-[r]-(b:`THE HOUSE`) RETURN COUNT(r) > 0 AS edgeExists:result:True -2024-10-30 05:11:17,497 - lightrag - INFO - get_edge:query: - MATCH (source:`SCROOGE`)-[r]-(target:`THE HOUSE`) - RETURN r - :result:, ) type='DIRECTED' properties={'keywords': '"haunting, setting influence"', 'description': '"Scrooge\'s experiences with Marley\'s Ghost occur within The House, which plays a crucial role in the haunting atmosphere."', 'weight': 8.0, 'source_id': 'chunk-9c43dac2fcd5b578242d907ea6f8fc7b'}> -2024-10-30 05:11:17,635 - lightrag - INFO - _check_edge_existence:query:MATCH (a:`MARLEY`)-[r]-(b:`THE GHOST`) RETURN COUNT(r) > 0 AS edgeExists:result:False -2024-10-30 05:11:17,808 - lightrag - INFO - _check_node_exists:query:MATCH (n:`MARLEY`) RETURN count(n) > 0 AS node_exists:result:True -2024-10-30 05:11:17,981 - lightrag - INFO - _check_node_exists:query:MATCH (n:`THE GHOST`) RETURN count(n) > 0 AS node_exists:result:True -2024-10-30 05:11:18,166 - lightrag - INFO - _do_upsert_edge:query: - MATCH (source:`MARLEY`) - WITH source - MATCH (target:`THE GHOST`) - MERGE (source)-[r:DIRECTED]->(target) - SET r += $properties - RETURN r - :result:None -2024-10-30 05:11:18,351 - lightrag - INFO - _check_edge_existence:query:MATCH (a:`SCROOGE`)-[r]-(b:`THE BELL`) RETURN COUNT(r) > 0 AS edgeExists:result:True -2024-10-30 05:11:18,487 - lightrag - INFO - get_edge:query: - MATCH (source:`SCROOGE`)-[r]-(target:`THE BELL`) - RETURN r - :result:, ) type='DIRECTED' properties={'keywords': '"foreboding, supernatural"', 'description': '"The Bell\'s movement and sound foreshadow Marley\'s Ghost\'s appearance, enhancing the sense of impending supernatural activity in Scrooge\'s environment."', 'weight': 8.0, 'source_id': 'chunk-9c43dac2fcd5b578242d907ea6f8fc7b'}> -2024-10-30 05:11:18,630 - lightrag - INFO - _check_edge_existence:query:MATCH (a:`MARLEY`)-[r]-(b:`THE HEAVY CHAIN`) RETURN COUNT(r) > 0 AS edgeExists:result:False -2024-10-30 05:11:18,800 - lightrag - INFO - _check_node_exists:query:MATCH (n:`MARLEY`) RETURN count(n) > 0 AS node_exists:result:True -2024-10-30 05:11:18,974 - lightrag - INFO - _check_node_exists:query:MATCH (n:`THE HEAVY CHAIN`) RETURN count(n) > 0 AS node_exists:result:True -2024-10-30 05:11:19,159 - lightrag - INFO - _do_upsert_edge:query: - MATCH (source:`MARLEY`) - WITH source - MATCH (target:`THE HEAVY CHAIN`) - MERGE (source)-[r:DIRECTED]->(target) - SET r += $properties - RETURN r - :result:None -2024-10-30 05:11:19,360 - lightrag - INFO - _check_edge_existence:query:MATCH (a:`SCROOGE`)-[r]-(b:`THE WINE-MERCHANT'S CELLAR`) RETURN COUNT(r) > 0 AS edgeExists:result:False -2024-10-30 05:11:19,527 - lightrag - INFO - _check_node_exists:query:MATCH (n:`SCROOGE`) RETURN count(n) > 0 AS node_exists:result:True -2024-10-30 05:11:19,705 - lightrag - INFO - _check_node_exists:query:MATCH (n:`THE WINE-MERCHANT'S CELLAR`) RETURN count(n) > 0 AS node_exists:result:True -2024-10-30 05:11:19,896 - lightrag - INFO - _do_upsert_edge:query: - MATCH (source:`SCROOGE`) - WITH source - MATCH (target:`THE WINE-MERCHANT'S CELLAR`) - MERGE (source)-[r:DIRECTED]->(target) - SET r += $properties - RETURN r - :result:None -2024-10-30 05:11:20,089 - lightrag - INFO - _check_edge_existence:query:MATCH (a:`SCROOGE`)-[r]-(b:`THE GRATE`) RETURN COUNT(r) > 0 AS edgeExists:result:True -2024-10-30 05:11:20,228 - lightrag - INFO - get_edge:query: - MATCH (source:`SCROOGE`)-[r]-(target:`THE GRATE`) - RETURN r - :result:, ) type='DIRECTED' properties={'keywords': '"isolation, setting mood"', 'description': '"The Grate\'s cold fire adds to the bleak setting of Scrooge\'s home, illustrating his disconnection from warmth and comfort before the supernatural events unfold."', 'weight': 6.0, 'source_id': 'chunk-9c43dac2fcd5b578242d907ea6f8fc7b'}> -2024-10-30 05:11:20,370 - lightrag - INFO - _check_edge_existence:query:MATCH (a:`SCROOGE`)-[r]-(b:`THE DYING FLAME`) RETURN COUNT(r) > 0 AS edgeExists:result:False -2024-10-30 05:11:20,535 - lightrag - INFO - _check_node_exists:query:MATCH (n:`SCROOGE`) RETURN count(n) > 0 AS node_exists:result:True -2024-10-30 05:11:20,706 - lightrag - INFO - _check_node_exists:query:MATCH (n:`THE DYING FLAME`) RETURN count(n) > 0 AS node_exists:result:True -2024-10-30 05:11:20,892 - lightrag - INFO - _do_upsert_edge:query: - MATCH (source:`SCROOGE`) - WITH source - MATCH (target:`THE DYING FLAME`) - MERGE (source)-[r:DIRECTED]->(target) - SET r += $properties - RETURN r - :result:None -2024-10-30 05:11:21,082 - lightrag - INFO - _check_edge_existence:query:MATCH (a:`MARLEY'S GHOST`)-[r]-(b:`SCROOGE`) RETURN COUNT(r) > 0 AS edgeExists:result:True -2024-10-30 05:11:21,221 - lightrag - INFO - get_edge:query: - MATCH (source:`MARLEY'S GHOST`)-[r]-(target:`SCROOGE`) - RETURN r - :result:, ) type='DIRECTED' properties={'keywords': '"supernatural confrontation, regret""warning, fate"', 'description': '"Marley\'s Ghost warns Scrooge about the consequences of his actions and the visits of the three spirits, setting the stage for his transformation.""Scrooge is haunted by Marley\'s Ghost, which confronts him as a part of a supernatural occurrence meant to incite fear and reflection on his life choices."', 'weight': 18.0, 'source_id': 'chunk-9c43dac2fcd5b578242d907ea6f8fc7bchunk-cb661c37436355ccec2769b1d0350c5f'}> -2024-10-30 05:11:21,363 - lightrag - INFO - _check_edge_existence:query:MATCH (a:`JACOB MARLEY`)-[r]-(b:`MARLEY'S GHOST`) RETURN COUNT(r) > 0 AS edgeExists:result:False -2024-10-30 05:11:21,540 - lightrag - INFO - _check_node_exists:query:MATCH (n:`JACOB MARLEY`) RETURN count(n) > 0 AS node_exists:result:True -2024-10-30 05:11:21,713 - lightrag - INFO - _check_node_exists:query:MATCH (n:`MARLEY'S GHOST`) RETURN count(n) > 0 AS node_exists:result:True -2024-10-30 05:11:21,905 - lightrag - INFO - _do_upsert_edge:query: - MATCH (source:`JACOB MARLEY`) - WITH source - MATCH (target:`MARLEY'S GHOST`) - MERGE (source)-[r:DIRECTED]->(target) - SET r += $properties - RETURN r - :result:None -2024-10-30 05:11:22,093 - lightrag - INFO - _check_edge_existence:query:MATCH (a:`GHOST`)-[r]-(b:`SCROOGE`) RETURN COUNT(r) > 0 AS edgeExists:result:True -2024-10-30 05:11:22,231 - lightrag - INFO - get_edge:query: - MATCH (source:`GHOST`)-[r]-(target:`SCROOGE`) - RETURN r - :result:, ) type='DIRECTED' properties={'keywords': '"reflection, self-discovery""spiritual guidance, transformation"', 'description': '"The Ghost guides Scrooge through reflections of his past, influencing his journey toward redemption.""The Ghost takes Scrooge on a journey to teach him lessons about generosity and compassion towards others."', 'weight': 17.0, 'source_id': 'chunk-c6c248858d1b13ab7ee9ca13c1aeed6bchunk-e7637ff18c5ded77a68cce0a87883fad'}> -2024-10-30 05:11:22,372 - lightrag - INFO - _check_edge_existence:query:MATCH (a:`GHOST`)-[r]-(b:`JACOB MARLEY`) RETURN COUNT(r) > 0 AS edgeExists:result:False -2024-10-30 05:11:22,548 - lightrag - INFO - _check_node_exists:query:MATCH (n:`GHOST`) RETURN count(n) > 0 AS node_exists:result:True -2024-10-30 05:11:22,720 - lightrag - INFO - _check_node_exists:query:MATCH (n:`JACOB MARLEY`) RETURN count(n) > 0 AS node_exists:result:True -2024-10-30 05:11:22,906 - lightrag - INFO - _do_upsert_edge:query: - MATCH (source:`GHOST`) - WITH source - MATCH (target:`JACOB MARLEY`) - MERGE (source)-[r:DIRECTED]->(target) - SET r += $properties - RETURN r - :result:None -2024-10-30 05:11:23,095 - lightrag - INFO - _check_edge_existence:query:MATCH (a:`JACOB MARLEY`)-[r]-(b:`SCROOGE`) RETURN COUNT(r) > 0 AS edgeExists:result:True -2024-10-30 05:11:23,236 - lightrag - INFO - get_edge:query: - MATCH (source:`JACOB MARLEY`)-[r]-(target:`SCROOGE`) - RETURN r - :result:, ) type='DIRECTED' properties={'keywords': '"catalyst for change, supernatural guidance""past influence, warning""redemption, moral lesson""supernatural encounter, past ties""transformation, influence""warning, transformation"', 'description': '"Jacob Marley is the spirit who brings forth the need for Scrooge to change his ways, impacting his character development.""Scrooge confronts Jacob Marley, his former business partner, who returns as a ghost to influence Scrooge\'s perspective on life and his actions.""Scrooge converses with the ghost of Jacob Marley, who tries to guide him toward understanding the importance of compassion and the consequences of his actions.""Scrooge interacts with Jacob Marley, who serves as a critical warning for Scrooge to change his ways before it\'s too late.""Scrooge reflects on Jacob Marley’s past warnings, which serve as a catalyst for his transformation.""Scrooge\'s transformation is prompted by the appearance and message of Jacob Marley, his former business partner."', 'weight': 54.0, 'source_id': 'chunk-90b95db5c53e4364a6bee36b7aa4d70fchunk-1aa50206d02ed89418f65f97c6441d1cchunk-02baee20cc9463dbe08170a8e1043e32chunk-91572b3cd42786ba4cb2f180ca25cbf4chunk-da2472b4ef2a535b62908f14d0fb0ca9chunk-359187e7571bda4b0b08b2e0b6581e52'}> -2024-10-30 05:11:23,380 - lightrag - INFO - _check_edge_existence:query:MATCH (a:`GHOST`)-[r]-(b:`MANKIND`) RETURN COUNT(r) > 0 AS edgeExists:result:False -2024-10-30 05:11:23,556 - lightrag - INFO - _check_node_exists:query:MATCH (n:`GHOST`) RETURN count(n) > 0 AS node_exists:result:True -2024-10-30 05:11:23,731 - lightrag - INFO - _check_node_exists:query:MATCH (n:`MANKIND`) RETURN count(n) > 0 AS node_exists:result:True -2024-10-30 05:11:23,909 - lightrag - INFO - _do_upsert_edge:query: - MATCH (source:`GHOST`) - WITH source - MATCH (target:`MANKIND`) - MERGE (source)-[r:DIRECTED]->(target) - SET r += $properties - RETURN r - :result:None -2024-10-30 05:11:24,090 - lightrag - INFO - _check_edge_existence:query:MATCH (a:`CHRISTMAS EVES`)-[r]-(b:`SCROOGE`) RETURN COUNT(r) > 0 AS edgeExists:result:False -2024-10-30 05:11:24,266 - lightrag - INFO - _check_node_exists:query:MATCH (n:`CHRISTMAS EVES`) RETURN count(n) > 0 AS node_exists:result:True -2024-10-30 05:11:24,426 - lightrag - INFO - _check_node_exists:query:MATCH (n:`SCROOGE`) RETURN count(n) > 0 AS node_exists:result:True -2024-10-30 05:11:24,613 - lightrag - INFO - _do_upsert_edge:query: - MATCH (source:`CHRISTMAS EVES`) - WITH source - MATCH (target:`SCROOGE`) - MERGE (source)-[r:DIRECTED]->(target) - SET r += $properties - RETURN r - :result:None -2024-10-30 05:11:24,806 - lightrag - INFO - _check_edge_existence:query:MATCH (a:`ETERNAL CHAIN`)-[r]-(b:`GHOST`) RETURN COUNT(r) > 0 AS edgeExists:result:False -2024-10-30 05:11:24,980 - lightrag - INFO - _check_node_exists:query:MATCH (n:`ETERNAL CHAIN`) RETURN count(n) > 0 AS node_exists:result:True -2024-10-30 05:11:25,147 - lightrag - INFO - _check_node_exists:query:MATCH (n:`GHOST`) RETURN count(n) > 0 AS node_exists:result:True -2024-10-30 05:11:25,336 - lightrag - INFO - _do_upsert_edge:query: - MATCH (source:`ETERNAL CHAIN`) - WITH source - MATCH (target:`GHOST`) - MERGE (source)-[r:DIRECTED]->(target) - SET r += $properties - RETURN r - :result:None -2024-10-30 05:11:25,525 - lightrag - INFO - _check_edge_existence:query:MATCH (a:`STAR`)-[r]-(b:`WISE MEN`) RETURN COUNT(r) > 0 AS edgeExists:result:False -2024-10-30 05:11:25,695 - lightrag - INFO - _check_node_exists:query:MATCH (n:`STAR`) RETURN count(n) > 0 AS node_exists:result:True -2024-10-30 05:11:25,900 - lightrag - INFO - _check_node_exists:query:MATCH (n:`WISE MEN`) RETURN count(n) > 0 AS node_exists:result:True -2024-10-30 05:11:26,085 - lightrag - INFO - _do_upsert_edge:query: - MATCH (source:`STAR`) - WITH source - MATCH (target:`WISE MEN`) - MERGE (source)-[r:DIRECTED]->(target) - SET r += $properties - RETURN r - :result:None -2024-10-30 05:11:26,271 - lightrag - INFO - _check_edge_existence:query:MATCH (a:`FELLOW-BEINGS`)-[r]-(b:`SCROOGE`) RETURN COUNT(r) > 0 AS edgeExists:result:False -2024-10-30 05:11:26,454 - lightrag - INFO - _check_node_exists:query:MATCH (n:`FELLOW-BEINGS`) RETURN count(n) > 0 AS node_exists:result:True -2024-10-30 05:11:26,614 - lightrag - INFO - _check_node_exists:query:MATCH (n:`SCROOGE`) RETURN count(n) > 0 AS node_exists:result:True -2024-10-30 05:11:26,794 - lightrag - INFO - _do_upsert_edge:query: - MATCH (source:`FELLOW-BEINGS`) - WITH source - MATCH (target:`SCROOGE`) - MERGE (source)-[r:DIRECTED]->(target) - SET r += $properties - RETURN r - :result:None -2024-10-30 05:11:26,978 - lightrag - INFO - _check_edge_existence:query:MATCH (a:`CHRISTMAS SPIRIT`)-[r]-(b:`GHOST`) RETURN COUNT(r) > 0 AS edgeExists:result:False -2024-10-30 05:11:27,150 - lightrag - INFO - _check_node_exists:query:MATCH (n:`CHRISTMAS SPIRIT`) RETURN count(n) > 0 AS node_exists:result:True -2024-10-30 05:11:27,312 - lightrag - INFO - _check_node_exists:query:MATCH (n:`GHOST`) RETURN count(n) > 0 AS node_exists:result:True -2024-10-30 05:11:27,502 - lightrag - INFO - _do_upsert_edge:query: - MATCH (source:`CHRISTMAS SPIRIT`) - WITH source - MATCH (target:`GHOST`) - MERGE (source)-[r:DIRECTED]->(target) - SET r += $properties - RETURN r - :result:None -2024-10-30 05:11:27,684 - lightrag - INFO - _check_edge_existence:query:MATCH (a:`GHOST`)-[r]-(b:`SPECTRE`) RETURN COUNT(r) > 0 AS edgeExists:result:False -2024-10-30 05:11:27,838 - lightrag - INFO - _check_node_exists:query:MATCH (n:`GHOST`) RETURN count(n) > 0 AS node_exists:result:True -2024-10-30 05:11:28,004 - lightrag - INFO - _check_node_exists:query:MATCH (n:`SPECTRE`) RETURN count(n) > 0 AS node_exists:result:True -2024-10-30 05:11:28,187 - lightrag - INFO - _do_upsert_edge:query: - MATCH (source:`GHOST`) - WITH source - MATCH (target:`SPECTRE`) - MERGE (source)-[r:DIRECTED]->(target) - SET r += $properties - RETURN r - :result:None -2024-10-30 05:11:28,369 - lightrag - INFO - _check_edge_existence:query:MATCH (a:`JACOB MARLEY`)-[r]-(b:`THE THREE SPIRITS`) RETURN COUNT(r) > 0 AS edgeExists:result:False -2024-10-30 05:11:28,544 - lightrag - INFO - _check_node_exists:query:MATCH (n:`JACOB MARLEY`) RETURN count(n) > 0 AS node_exists:result:True -2024-10-30 05:11:28,716 - lightrag - INFO - _check_node_exists:query:MATCH (n:`THE THREE SPIRITS`) RETURN count(n) > 0 AS node_exists:result:True -2024-10-30 05:11:28,905 - lightrag - INFO - _do_upsert_edge:query: - MATCH (source:`JACOB MARLEY`) - WITH source - MATCH (target:`THE THREE SPIRITS`) - MERGE (source)-[r:DIRECTED]->(target) - SET r += $properties - RETURN r - :result:None -2024-10-30 05:11:29,094 - lightrag - INFO - _check_edge_existence:query:MATCH (a:`SCROOGE`)-[r]-(b:`THE GHOST`) RETURN COUNT(r) > 0 AS edgeExists:result:True -2024-10-30 05:11:29,232 - lightrag - INFO - get_edge:query: - MATCH (source:`SCROOGE`)-[r]-(target:`THE GHOST`) - RETURN r - :result:, ) type='DIRECTED' properties={'keywords': '"guidance, transformation""memory, influence""reflection, guidance""self-reflection, transformation"', 'description': '"Scrooge\'s engagement with The Ghost prompts a significant emotional and psychological transformation as he confronts his past.""The Ghost guides Scrooge through visions of his past, forcing him to confront his choices and their consequences.""The Ghost influences Scrooge\'s reflections on his past and his current emotions regarding Christmas festivities.""The Ghost serves as a catalyst for Scrooge\'s reflections, guiding him to confront his past and feelings about Christmas."', 'weight': 35.0, 'source_id': 'chunk-da2472b4ef2a535b62908f14d0fb0ca9chunk-43c9bee23adfa77aa9dedd22401bba7dchunk-54bdd22db1f84a965b5f4c06c9216d8dchunk-8590d9263cd2cd4fa583c432fc54e6c3'}> -2024-10-30 05:11:29,373 - lightrag - INFO - _check_edge_existence:query:MATCH (a:`SCROOGE`)-[r]-(b:`THE PHANTOM VOICES`) RETURN COUNT(r) > 0 AS edgeExists:result:False -2024-10-30 05:11:29,537 - lightrag - INFO - _check_node_exists:query:MATCH (n:`SCROOGE`) RETURN count(n) > 0 AS node_exists:result:True -2024-10-30 05:11:29,711 - lightrag - INFO - _check_node_exists:query:MATCH (n:`THE PHANTOM VOICES`) RETURN count(n) > 0 AS node_exists:result:True -2024-10-30 05:11:29,901 - lightrag - INFO - _do_upsert_edge:query: - MATCH (source:`SCROOGE`) - WITH source - MATCH (target:`THE PHANTOM VOICES`) - MERGE (source)-[r:DIRECTED]->(target) - SET r += $properties - RETURN r - :result:None -2024-10-30 05:11:30,088 - lightrag - INFO - _check_edge_existence:query:MATCH (a:`SCROOGE`)-[r]-(b:`THE WINDOW`) RETURN COUNT(r) > 0 AS edgeExists:result:False -2024-10-30 05:11:30,248 - lightrag - INFO - _check_node_exists:query:MATCH (n:`SCROOGE`) RETURN count(n) > 0 AS node_exists:result:True -2024-10-30 05:11:30,425 - lightrag - INFO - _check_node_exists:query:MATCH (n:`THE WINDOW`) RETURN count(n) > 0 AS node_exists:result:True -2024-10-30 05:11:30,614 - lightrag - INFO - _do_upsert_edge:query: - MATCH (source:`SCROOGE`) - WITH source - MATCH (target:`THE WINDOW`) - MERGE (source)-[r:DIRECTED]->(target) - SET r += $properties - RETURN r - :result:None -2024-10-30 05:11:30,811 - lightrag - INFO - _check_edge_existence:query:MATCH (a:`MARLEY'S GHOST`)-[r]-(b:`THE CHAIN`) RETURN COUNT(r) > 0 AS edgeExists:result:False -2024-10-30 05:11:30,986 - lightrag - INFO - _check_node_exists:query:MATCH (n:`MARLEY'S GHOST`) RETURN count(n) > 0 AS node_exists:result:True -2024-10-30 05:11:31,159 - lightrag - INFO - _check_node_exists:query:MATCH (n:`THE CHAIN`) RETURN count(n) > 0 AS node_exists:result:True -2024-10-30 05:11:31,343 - lightrag - INFO - _do_upsert_edge:query: - MATCH (source:`MARLEY'S GHOST`) - WITH source - MATCH (target:`THE CHAIN`) - MERGE (source)-[r:DIRECTED]->(target) - SET r += $properties - RETURN r - :result:None -2024-10-30 05:11:31,529 - lightrag - INFO - _check_edge_existence:query:MATCH (a:`SCROOGE`)-[r]-(b:`THE CLOCK`) RETURN COUNT(r) > 0 AS edgeExists:result:True -2024-10-30 05:11:31,667 - lightrag - INFO - get_edge:query: - MATCH (source:`SCROOGE`)-[r]-(target:`THE CLOCK`) - RETURN r - :result:, ) type='DIRECTED' properties={'keywords': '"time distortion, confusion"', 'description': '"Scrooge\'s interaction with the faulty clock symbolizes his disconnection from time and reality, as he struggles to comprehend his experiences."', 'weight': 6.0, 'source_id': 'chunk-cb661c37436355ccec2769b1d0350c5f'}> -2024-10-30 05:11:31,810 - lightrag - INFO - _check_edge_existence:query:MATCH (a:`SCROOGE`)-[r]-(b:`THE DARKNESS`) RETURN COUNT(r) > 0 AS edgeExists:result:False -2024-10-30 05:11:31,975 - lightrag - INFO - _check_node_exists:query:MATCH (n:`SCROOGE`) RETURN count(n) > 0 AS node_exists:result:True -2024-10-30 05:11:32,153 - lightrag - INFO - _check_node_exists:query:MATCH (n:`THE DARKNESS`) RETURN count(n) > 0 AS node_exists:result:True -2024-10-30 05:11:32,339 - lightrag - INFO - _do_upsert_edge:query: - MATCH (source:`SCROOGE`) - WITH source - MATCH (target:`THE DARKNESS`) - MERGE (source)-[r:DIRECTED]->(target) - SET r += $properties - RETURN r - :result:None -2024-10-30 05:11:32,527 - lightrag - INFO - _check_edge_existence:query:MATCH (a:`CLOCK`)-[r]-(b:`SCROOGE`) RETURN COUNT(r) > 0 AS edgeExists:result:False -2024-10-30 05:11:32,700 - lightrag - INFO - _check_node_exists:query:MATCH (n:`CLOCK`) RETURN count(n) > 0 AS node_exists:result:True -2024-10-30 05:11:32,861 - lightrag - INFO - _check_node_exists:query:MATCH (n:`SCROOGE`) RETURN count(n) > 0 AS node_exists:result:True -2024-10-30 05:11:33,053 - lightrag - INFO - _do_upsert_edge:query: - MATCH (source:`CLOCK`) - WITH source - MATCH (target:`SCROOGE`) - MERGE (source)-[r:DIRECTED]->(target) - SET r += $properties - RETURN r - :result:None -2024-10-30 05:11:33,231 - lightrag - INFO - _check_edge_existence:query:MATCH (a:`SCROOGE`)-[r]-(b:`SPIRIT`) RETURN COUNT(r) > 0 AS edgeExists:result:True -2024-10-30 05:11:33,370 - lightrag - INFO - get_edge:query: - MATCH (source:`SCROOGE`)-[r]-(target:`SPIRIT`) - RETURN r - :result:, ) type='DIRECTED' properties={'keywords': '"guidance, emotional journey""guidance, transformation""personal growth, spiritual journey""reflection, guidance"', 'description': '"Scrooge engages with the Spirit, who guides him through reflections on his life and warns him of societal issues.""Scrooge learns from the Spirit about the consequences of his actions and the sentiments evoked by death, leading to personal growth.""Scrooge’s interaction with the Spirit emphasizes the emotional weight of his past decisions and feelings as they relate to his transformation.""The Spirit directly influences Scrooge’s transformation and highlights the importance of compassion in human life."', 'weight': 34.0, 'source_id': 'chunk-02baee20cc9463dbe08170a8e1043e32chunk-bb21d58d36c6306fd8810ddd51c4a971chunk-83ac129dc9b56f84c46760d153d68e93chunk-e7637ff18c5ded77a68cce0a87883fad'}> -2024-10-30 05:11:33,512 - lightrag - INFO - _check_edge_existence:query:MATCH (a:`GHOST OF CHRISTMAS PAST`)-[r]-(b:`WINTER DAY`) RETURN COUNT(r) > 0 AS edgeExists:result:False -2024-10-30 05:11:33,688 - lightrag - INFO - _check_node_exists:query:MATCH (n:`GHOST OF CHRISTMAS PAST`) RETURN count(n) > 0 AS node_exists:result:True -2024-10-30 05:11:33,874 - lightrag - INFO - _check_node_exists:query:MATCH (n:`WINTER DAY`) RETURN count(n) > 0 AS node_exists:result:True -2024-10-30 05:11:34,053 - lightrag - INFO - _do_upsert_edge:query: - MATCH (source:`GHOST OF CHRISTMAS PAST`) - WITH source - MATCH (target:`WINTER DAY`) - MERGE (source)-[r:DIRECTED]->(target) - SET r += $properties - RETURN r - :result:None -2024-10-30 05:11:34,234 - lightrag - INFO - _check_edge_existence:query:MATCH (a:`MARKET-TOWN`)-[r]-(b:`SCROOGE`) RETURN COUNT(r) > 0 AS edgeExists:result:True -2024-10-30 05:11:34,366 - lightrag - INFO - get_edge:query: - MATCH (source:`MARKET-TOWN`)-[r]-(target:`SCROOGE`) - RETURN r - :result:, ) type='DIRECTED' properties={'keywords': '"nostalgia, memory"', 'description': '"Scrooge recognizes the Market-Town, eliciting fond memories from his childhood and emphasizing his emotional response to the past."', 'weight': 7.0, 'source_id': 'chunk-bb21d58d36c6306fd8810ddd51c4a971'}> -2024-10-30 05:11:34,509 - lightrag - INFO - _check_edge_existence:query:MATCH (a:`BOYS`)-[r]-(b:`SCROOGE`) RETURN COUNT(r) > 0 AS edgeExists:result:False -2024-10-30 05:11:34,690 - lightrag - INFO - _check_node_exists:query:MATCH (n:`BOYS`) RETURN count(n) > 0 AS node_exists:result:True -2024-10-30 05:11:34,875 - lightrag - INFO - _check_node_exists:query:MATCH (n:`SCROOGE`) RETURN count(n) > 0 AS node_exists:result:True -2024-10-30 05:11:35,067 - lightrag - INFO - _do_upsert_edge:query: - MATCH (source:`BOYS`) - WITH source - MATCH (target:`SCROOGE`) - MERGE (source)-[r:DIRECTED]->(target) - SET r += $properties - RETURN r - :result:None -2024-10-30 05:11:35,248 - lightrag - INFO - _check_edge_existence:query:MATCH (a:`BOYS`)-[r]-(b:`SHAGGY PONIES`) RETURN COUNT(r) > 0 AS edgeExists:result:False -2024-10-30 05:11:35,424 - lightrag - INFO - _check_node_exists:query:MATCH (n:`BOYS`) RETURN count(n) > 0 AS node_exists:result:True -2024-10-30 05:11:35,601 - lightrag - INFO - _check_node_exists:query:MATCH (n:`SHAGGY PONIES`) RETURN count(n) > 0 AS node_exists:result:True -2024-10-30 05:11:35,818 - lightrag - INFO - _do_upsert_edge:query: - MATCH (source:`BOYS`) - WITH source - MATCH (target:`SHAGGY PONIES`) - MERGE (source)-[r:DIRECTED]->(target) - SET r += $properties - RETURN r - :result:None -2024-10-30 05:11:36,006 - lightrag - INFO - _check_edge_existence:query:MATCH (a:`BRIDGE`)-[r]-(b:`SCROOGE`) RETURN COUNT(r) > 0 AS edgeExists:result:False -2024-10-30 05:11:36,171 - lightrag - INFO - _check_node_exists:query:MATCH (n:`BRIDGE`) RETURN count(n) > 0 AS node_exists:result:True -2024-10-30 05:11:36,332 - lightrag - INFO - _check_node_exists:query:MATCH (n:`SCROOGE`) RETURN count(n) > 0 AS node_exists:result:True -2024-10-30 05:11:36,526 - lightrag - INFO - _do_upsert_edge:query: - MATCH (source:`BRIDGE`) - WITH source - MATCH (target:`SCROOGE`) - MERGE (source)-[r:DIRECTED]->(target) - SET r += $properties - RETURN r - :result:None -2024-10-30 05:11:36,714 - lightrag - INFO - _check_edge_existence:query:MATCH (a:`CHURCH`)-[r]-(b:`SCROOGE`) RETURN COUNT(r) > 0 AS edgeExists:result:False -2024-10-30 05:11:36,888 - lightrag - INFO - _check_node_exists:query:MATCH (n:`CHURCH`) RETURN count(n) > 0 AS node_exists:result:True -2024-10-30 05:11:37,048 - lightrag - INFO - _check_node_exists:query:MATCH (n:`SCROOGE`) RETURN count(n) > 0 AS node_exists:result:True -2024-10-30 05:11:37,232 - lightrag - INFO - _do_upsert_edge:query: - MATCH (source:`CHURCH`) - WITH source - MATCH (target:`SCROOGE`) - MERGE (source)-[r:DIRECTED]->(target) - SET r += $properties - RETURN r - :result:None -2024-10-30 05:11:37,417 - lightrag - INFO - _check_edge_existence:query:MATCH (a:`SCROOGE`)-[r]-(b:`WINDING RIVER`) RETURN COUNT(r) > 0 AS edgeExists:result:False -2024-10-30 05:11:37,577 - lightrag - INFO - _check_node_exists:query:MATCH (n:`SCROOGE`) RETURN count(n) > 0 AS node_exists:result:True -2024-10-30 05:11:37,750 - lightrag - INFO - _check_node_exists:query:MATCH (n:`WINDING RIVER`) RETURN count(n) > 0 AS node_exists:result:True -2024-10-30 05:11:37,931 - lightrag - INFO - _do_upsert_edge:query: - MATCH (source:`SCROOGE`) - WITH source - MATCH (target:`WINDING RIVER`) - MERGE (source)-[r:DIRECTED]->(target) - SET r += $properties - RETURN r - :result:None -2024-10-30 05:11:38,112 - lightrag - INFO - _check_edge_existence:query:MATCH (a:`GHOST OF CHRISTMAS PAST`)-[r]-(b:`SCROOGE'S MEMORIES`) RETURN COUNT(r) > 0 AS edgeExists:result:False -2024-10-30 05:11:38,278 - lightrag - INFO - _check_node_exists:query:MATCH (n:`GHOST OF CHRISTMAS PAST`) RETURN count(n) > 0 AS node_exists:result:True -2024-10-30 05:11:38,452 - lightrag - INFO - _check_node_exists:query:MATCH (n:`SCROOGE'S MEMORIES`) RETURN count(n) > 0 AS node_exists:result:False -2024-10-30 05:11:38,635 - lightrag - INFO - _do_upsert:query: - MERGE (n:`SCROOGE'S MEMORIES`) - SET n += $properties - RETURN n - :result:{'entity_type': '"UNKNOWN"', 'description': '"The Ghost facilitates Scrooge\'s recollection of his memories, allowing him to confront his past choices."', 'source_id': 'chunk-bb21d58d36c6306fd8810ddd51c4a971'} -2024-10-30 05:11:38,838 - lightrag - INFO - _do_upsert_edge:query: - MATCH (source:`GHOST OF CHRISTMAS PAST`) - WITH source - MATCH (target:`SCROOGE'S MEMORIES`) - MERGE (source)-[r:DIRECTED]->(target) - SET r += $properties - RETURN r - :result:None -2024-10-30 05:11:39,041 - lightrag - INFO - _check_edge_existence:query:MATCH (a:`SCROOGE`)-[r]-(b:`THE SPIRIT`) RETURN COUNT(r) > 0 AS edgeExists:result:True -2024-10-30 05:11:39,176 - lightrag - INFO - get_edge:query: - MATCH (source:`SCROOGE`)-[r]-(target:`THE SPIRIT`) - RETURN r - :result:, ) type='DIRECTED' properties={'keywords': '"guidance, transformation""moral guidance, transformation""self-reflection, transformation""supernatural guidance, self-reflection""supernatural intervention, guidance"', 'description': '"Scrooge engages with the Spirit as it reveals memories that prompt significant self-reflection and consideration of change.""Scrooge is guided by the Spirit, who shows him different scenes related to the joy and struggles of Christmas, aiming to change his heart.""The Spirit challenges Scrooge\'s perspective on life, urging him to consider the implications of his actions in light of death.""The Spirit represents an upcoming change in Scrooge\'s life, aiming to guide him towards redemption.""The Spirit represents moral lessons and urges Scrooge to change his ways for a better future."', 'weight': 47.0, 'source_id': 'chunk-b2f98bc7abb0c67d4c86055c7fd72218chunk-e1f29eeadc1d8ab46dc8a0bbd3c56b64chunk-91572b3cd42786ba4cb2f180ca25cbf4chunk-da2472b4ef2a535b62908f14d0fb0ca9chunk-91614df5cb74cbe5e109a338a82041e9'}> -2024-10-30 05:11:39,317 - lightrag - INFO - _check_edge_existence:query:MATCH (a:`ALI BABA`)-[r]-(b:`SCROOGE`) RETURN COUNT(r) > 0 AS edgeExists:result:True -2024-10-30 05:11:39,456 - lightrag - INFO - get_edge:query: - MATCH (source:`ALI BABA`)-[r]-(target:`SCROOGE`) - RETURN r - :result:, ) type='DIRECTED' properties={'keywords': '"nostalgia, childhood stories"', 'description': '"Scrooge recalls Ali Baba while reflecting on memories of Christmas, indicating a strong personal connection to the story and its impact on him."', 'weight': 8.0, 'source_id': 'chunk-8590d9263cd2cd4fa583c432fc54e6c3'}> -2024-10-30 05:11:39,596 - lightrag - INFO - _check_edge_existence:query:MATCH (a:`SCROOGE`)-[r]-(b:`VALENTINE`) RETURN COUNT(r) > 0 AS edgeExists:result:True -2024-10-30 05:11:39,731 - lightrag - INFO - get_edge:query: - MATCH (source:`SCROOGE`)-[r]-(target:`VALENTINE`) - RETURN r - :result:, ) type='DIRECTED' properties={'keywords': '"family memories, nostalgia"', 'description': '"Scrooge\'s mention of Valentine signifies his memories of familial ties and childhood experiences during Christmas."', 'weight': 6.0, 'source_id': 'chunk-8590d9263cd2cd4fa583c432fc54e6c3'}> -2024-10-30 05:11:39,873 - lightrag - INFO - _check_edge_existence:query:MATCH (a:`ORSON`)-[r]-(b:`VALENTINE`) RETURN COUNT(r) > 0 AS edgeExists:result:False -2024-10-30 05:11:40,043 - lightrag - INFO - _check_node_exists:query:MATCH (n:`ORSON`) RETURN count(n) > 0 AS node_exists:result:True -2024-10-30 05:11:40,209 - lightrag - INFO - _check_node_exists:query:MATCH (n:`VALENTINE`) RETURN count(n) > 0 AS node_exists:result:True -2024-10-30 05:11:40,401 - lightrag - INFO - _do_upsert_edge:query: - MATCH (source:`ORSON`) - WITH source - MATCH (target:`VALENTINE`) - MERGE (source)-[r:DIRECTED]->(target) - SET r += $properties - RETURN r - :result:None -2024-10-30 05:11:40,590 - lightrag - INFO - _check_edge_existence:query:MATCH (a:`CHILD`)-[r]-(b:`SCROOGE`) RETURN COUNT(r) > 0 AS edgeExists:result:False -2024-10-30 05:11:40,766 - lightrag - INFO - _check_node_exists:query:MATCH (n:`CHILD`) RETURN count(n) > 0 AS node_exists:result:True -2024-10-30 05:11:40,926 - lightrag - INFO - _check_node_exists:query:MATCH (n:`SCROOGE`) RETURN count(n) > 0 AS node_exists:result:True -2024-10-30 05:11:41,110 - lightrag - INFO - _do_upsert_edge:query: - MATCH (source:`CHILD`) - WITH source - MATCH (target:`SCROOGE`) - MERGE (source)-[r:DIRECTED]->(target) - SET r += $properties - RETURN r - :result:None -2024-10-30 05:11:41,291 - lightrag - INFO - _check_edge_existence:query:MATCH (a:`ALI BABA`)-[r]-(b:`ROBIN CRUSOE`) RETURN COUNT(r) > 0 AS edgeExists:result:False -2024-10-30 05:11:41,466 - lightrag - INFO - _check_node_exists:query:MATCH (n:`ALI BABA`) RETURN count(n) > 0 AS node_exists:result:True -2024-10-30 05:11:41,637 - lightrag - INFO - _check_node_exists:query:MATCH (n:`ROBIN CRUSOE`) RETURN count(n) > 0 AS node_exists:result:True -2024-10-30 05:11:41,822 - lightrag - INFO - _do_upsert_edge:query: - MATCH (source:`ALI BABA`) - WITH source - MATCH (target:`ROBIN CRUSOE`) - MERGE (source)-[r:DIRECTED]->(target) - SET r += $properties - RETURN r - :result:None -2024-10-30 05:11:42,008 - lightrag - INFO - _check_edge_existence:query:MATCH (a:`MANSION`)-[r]-(b:`SCROOGE`) RETURN COUNT(r) > 0 AS edgeExists:result:False -2024-10-30 05:11:42,173 - lightrag - INFO - _check_node_exists:query:MATCH (n:`MANSION`) RETURN count(n) > 0 AS node_exists:result:True -2024-10-30 05:11:42,330 - lightrag - INFO - _check_node_exists:query:MATCH (n:`SCROOGE`) RETURN count(n) > 0 AS node_exists:result:True -2024-10-30 05:11:42,512 - lightrag - INFO - _do_upsert_edge:query: - MATCH (source:`MANSION`) - WITH source - MATCH (target:`SCROOGE`) - MERGE (source)-[r:DIRECTED]->(target) - SET r += $properties - RETURN r - :result:None -2024-10-30 05:11:42,696 - lightrag - INFO - _check_edge_existence:query:MATCH (a:`MANSION`)-[r]-(b:`THE GHOST`) RETURN COUNT(r) > 0 AS edgeExists:result:False -2024-10-30 05:11:42,870 - lightrag - INFO - _check_node_exists:query:MATCH (n:`MANSION`) RETURN count(n) > 0 AS node_exists:result:True -2024-10-30 05:11:43,038 - lightrag - INFO - _check_node_exists:query:MATCH (n:`THE GHOST`) RETURN count(n) > 0 AS node_exists:result:True -2024-10-30 05:11:43,220 - lightrag - INFO - _do_upsert_edge:query: - MATCH (source:`MANSION`) - WITH source - MATCH (target:`THE GHOST`) - MERGE (source)-[r:DIRECTED]->(target) - SET r += $properties - RETURN r - :result:None -2024-10-30 05:11:43,401 - lightrag - INFO - _check_edge_existence:query:MATCH (a:`FRIDAY`)-[r]-(b:`ROBIN CRUSOE`) RETURN COUNT(r) > 0 AS edgeExists:result:False -2024-10-30 05:11:43,573 - lightrag - INFO - _check_node_exists:query:MATCH (n:`FRIDAY`) RETURN count(n) > 0 AS node_exists:result:True -2024-10-30 05:11:43,742 - lightrag - INFO - _check_node_exists:query:MATCH (n:`ROBIN CRUSOE`) RETURN count(n) > 0 AS node_exists:result:True -2024-10-30 05:11:43,929 - lightrag - INFO - _do_upsert_edge:query: - MATCH (source:`FRIDAY`) - WITH source - MATCH (target:`ROBIN CRUSOE`) - MERGE (source)-[r:DIRECTED]->(target) - SET r += $properties - RETURN r - :result:None -2024-10-30 05:11:44,113 - lightrag - INFO - _check_edge_existence:query:MATCH (a:`SCROOGE`)-[r]-(b:`THE PARROT`) RETURN COUNT(r) > 0 AS edgeExists:result:False -2024-10-30 05:11:44,272 - lightrag - INFO - _check_node_exists:query:MATCH (n:`SCROOGE`) RETURN count(n) > 0 AS node_exists:result:True -2024-10-30 05:11:44,450 - lightrag - INFO - _check_node_exists:query:MATCH (n:`THE PARROT`) RETURN count(n) > 0 AS node_exists:result:True -2024-10-30 05:11:44,644 - lightrag - INFO - _do_upsert_edge:query: - MATCH (source:`SCROOGE`) - WITH source - MATCH (target:`THE PARROT`) - MERGE (source)-[r:DIRECTED]->(target) - SET r += $properties - RETURN r - :result:None -2024-10-30 05:11:44,827 - lightrag - INFO - _check_edge_existence:query:MATCH (a:`CHILD`)-[r]-(b:`THE SPIRIT`) RETURN COUNT(r) > 0 AS edgeExists:result:False -2024-10-30 05:11:44,995 - lightrag - INFO - _check_node_exists:query:MATCH (n:`CHILD`) RETURN count(n) > 0 AS node_exists:result:True -2024-10-30 05:11:45,162 - lightrag - INFO - _check_node_exists:query:MATCH (n:`THE SPIRIT`) RETURN count(n) > 0 AS node_exists:result:True -2024-10-30 05:11:45,343 - lightrag - INFO - _do_upsert_edge:query: - MATCH (source:`CHILD`) - WITH source - MATCH (target:`THE SPIRIT`) - MERGE (source)-[r:DIRECTED]->(target) - SET r += $properties - RETURN r - :result:None -2024-10-30 05:11:45,525 - lightrag - INFO - _check_edge_existence:query:MATCH (a:`DICK WILKINS`)-[r]-(b:`FEZZIWIG`) RETURN COUNT(r) > 0 AS edgeExists:result:False -2024-10-30 05:11:45,699 - lightrag - INFO - _check_node_exists:query:MATCH (n:`DICK WILKINS`) RETURN count(n) > 0 AS node_exists:result:True -2024-10-30 05:11:45,882 - lightrag - INFO - _check_node_exists:query:MATCH (n:`FEZZIWIG`) RETURN count(n) > 0 AS node_exists:result:True -2024-10-30 05:11:46,070 - lightrag - INFO - _do_upsert_edge:query: - MATCH (source:`DICK WILKINS`) - WITH source - MATCH (target:`FEZZIWIG`) - MERGE (source)-[r:DIRECTED]->(target) - SET r += $properties - RETURN r - :result:None -2024-10-30 05:11:46,247 - lightrag - INFO - _check_edge_existence:query:MATCH (a:`DICK WILKINS`)-[r]-(b:`SCROOGE`) RETURN COUNT(r) > 0 AS edgeExists:result:True -2024-10-30 05:11:46,388 - lightrag - INFO - get_edge:query: - MATCH (source:`DICK WILKINS`)-[r]-(target:`SCROOGE`) - RETURN r - :result:, ) type='DIRECTED' properties={'keywords': '"friendship, apprenticeship"', 'description': '"Scrooge recalls his friendship with Dick Wilkins, highlighting the connections of youth and support during their apprenticeship."', 'weight': 7.0, 'source_id': 'chunk-c6c248858d1b13ab7ee9ca13c1aeed6b'}> -2024-10-30 05:11:46,528 - lightrag - INFO - _check_edge_existence:query:MATCH (a:`CHRISTMAS-TIME`)-[r]-(b:`SCROOGE`) RETURN COUNT(r) > 0 AS edgeExists:result:True -2024-10-30 05:11:46,665 - lightrag - INFO - get_edge:query: - MATCH (source:`CHRISTMAS-TIME`)-[r]-(target:`SCROOGE`) - RETURN r - :result:, ) type='DIRECTED' properties={'keywords': '"cynicism, holiday spirit conflict"', 'description': '"Scrooge views Christmas-time as a burden rather than a celebration, contrasting with the feelings of others around him."', 'weight': 9.0, 'source_id': 'chunk-5dac41b3f9eeaf794f0147400b1718cd'}> -2024-10-30 05:11:46,809 - lightrag - INFO - _check_edge_existence:query:MATCH (a:`SCROOGE`)-[r]-(b:`THE CITY`) RETURN COUNT(r) > 0 AS edgeExists:result:True -2024-10-30 05:11:46,948 - lightrag - INFO - get_edge:query: - MATCH (source:`SCROOGE`)-[r]-(target:`THE CITY`) - RETURN r - :result:, ) type='DIRECTED' properties={'keywords': '"disconnection, personal evolution""reflection, urban life"', 'description': '"Scrooge\'s reflections in the City highlight his relationship with his past and the contrast of his current life.""Scrooge\'s relationship with The City is marked by detachment, representing his lost connection to his past self and experiences."', 'weight': 10.0, 'source_id': 'chunk-bb21d58d36c6306fd8810ddd51c4a971chunk-c6c248858d1b13ab7ee9ca13c1aeed6b'}> -2024-10-30 05:11:47,084 - lightrag - INFO - _check_edge_existence:query:MATCH (a:`DICK WILKINS`)-[r]-(b:`EBENEZER SCROOGE`) RETURN COUNT(r) > 0 AS edgeExists:result:False -2024-10-30 05:11:47,250 - lightrag - INFO - _check_node_exists:query:MATCH (n:`DICK WILKINS`) RETURN count(n) > 0 AS node_exists:result:True -2024-10-30 05:11:47,423 - lightrag - INFO - _check_node_exists:query:MATCH (n:`EBENEZER SCROOGE`) RETURN count(n) > 0 AS node_exists:result:True -2024-10-30 05:11:47,614 - lightrag - INFO - _do_upsert_edge:query: - MATCH (source:`DICK WILKINS`) - WITH source - MATCH (target:`EBENEZER SCROOGE`) - MERGE (source)-[r:DIRECTED]->(target) - SET r += $properties - RETURN r - :result:None -2024-10-30 05:11:47,797 - lightrag - INFO - _check_edge_existence:query:MATCH (a:`EBENEZER SCROOGE`)-[r]-(b:`FEZZIWIG`) RETURN COUNT(r) > 0 AS edgeExists:result:False -2024-10-30 05:11:47,958 - lightrag - INFO - _check_node_exists:query:MATCH (n:`EBENEZER SCROOGE`) RETURN count(n) > 0 AS node_exists:result:True -2024-10-30 05:11:48,133 - lightrag - INFO - _check_node_exists:query:MATCH (n:`FEZZIWIG`) RETURN count(n) > 0 AS node_exists:result:True -2024-10-30 05:11:48,317 - lightrag - INFO - _do_upsert_edge:query: - MATCH (source:`EBENEZER SCROOGE`) - WITH source - MATCH (target:`FEZZIWIG`) - MERGE (source)-[r:DIRECTED]->(target) - SET r += $properties - RETURN r - :result:None -2024-10-30 05:11:48,502 - lightrag - INFO - _check_edge_existence:query:MATCH (a:`CHRISTMAS EVE`)-[r]-(b:`FEZZIWIG`) RETURN COUNT(r) > 0 AS edgeExists:result:False -2024-10-30 05:11:48,675 - lightrag - INFO - _check_node_exists:query:MATCH (n:`CHRISTMAS EVE`) RETURN count(n) > 0 AS node_exists:result:True -2024-10-30 05:11:48,845 - lightrag - INFO - _check_node_exists:query:MATCH (n:`FEZZIWIG`) RETURN count(n) > 0 AS node_exists:result:True -2024-10-30 05:11:49,031 - lightrag - INFO - _do_upsert_edge:query: - MATCH (source:`CHRISTMAS EVE`) - WITH source - MATCH (target:`FEZZIWIG`) - MERGE (source)-[r:DIRECTED]->(target) - SET r += $properties - RETURN r - :result:None -2024-10-30 05:11:49,212 - lightrag - INFO - _check_edge_existence:query:MATCH (a:`FEZZIWIG`)-[r]-(b:`MRS. FEZZIWIG`) RETURN COUNT(r) > 0 AS edgeExists:result:True -2024-10-30 05:11:49,344 - lightrag - INFO - get_edge:query: - MATCH (source:`FEZZIWIG`)-[r]-(target:`MRS. FEZZIWIG`) - RETURN r - :result:, ) type='DIRECTED' properties={'keywords': '"festivity, companionship""partnership, celebration"', 'description': '"Fezziwig and Mrs. Fezziwig dance together, showcasing their joyful relationship and the spirit of togetherness during Christmas.""Fezziwig and Mrs. Fezziwig work together to create a festive and welcoming environment during the domestic ball.""Mrs. Fezziwig partners with Fezziwig in the festivities, highlighting their companionship during the celebrations."', 'weight': 25.0, 'source_id': 'chunk-b2f98bc7abb0c67d4c86055c7fd72218chunk-89777b838d5447c7bd1ec11282c4ee89chunk-8bc1edd983869352d14cf0886a9175a7'}> -2024-10-30 05:11:49,485 - lightrag - INFO - _check_edge_existence:query:MATCH (a:`FEZZIWIG`)-[r]-(b:`THE DANCERS`) RETURN COUNT(r) > 0 AS edgeExists:result:False -2024-10-30 05:11:49,650 - lightrag - INFO - _check_node_exists:query:MATCH (n:`FEZZIWIG`) RETURN count(n) > 0 AS node_exists:result:True -2024-10-30 05:11:49,824 - lightrag - INFO - _check_node_exists:query:MATCH (n:`THE DANCERS`) RETURN count(n) > 0 AS node_exists:result:True -2024-10-30 05:11:50,014 - lightrag - INFO - _do_upsert_edge:query: - MATCH (source:`FEZZIWIG`) - WITH source - MATCH (target:`THE DANCERS`) - MERGE (source)-[r:DIRECTED]->(target) - SET r += $properties - RETURN r - :result:None -2024-10-30 05:11:50,198 - lightrag - INFO - _check_edge_existence:query:MATCH (a:`FEZZIWIG`)-[r]-(b:`THE FIDDLER`) RETURN COUNT(r) > 0 AS edgeExists:result:False -2024-10-30 05:11:50,352 - lightrag - INFO - _check_node_exists:query:MATCH (n:`FEZZIWIG`) RETURN count(n) > 0 AS node_exists:result:True -2024-10-30 05:11:50,519 - lightrag - INFO - _check_node_exists:query:MATCH (n:`THE FIDDLER`) RETURN count(n) > 0 AS node_exists:result:True -2024-10-30 05:11:50,708 - lightrag - INFO - _do_upsert_edge:query: - MATCH (source:`FEZZIWIG`) - WITH source - MATCH (target:`THE FIDDLER`) - MERGE (source)-[r:DIRECTED]->(target) - SET r += $properties - RETURN r - :result:None -2024-10-30 05:11:50,888 - lightrag - INFO - _check_edge_existence:query:MATCH (a:`THE THREE MISS FEZZIWIGS`)-[r]-(b:`THE YOUNG FOLLOWERS`) RETURN COUNT(r) > 0 AS edgeExists:result:False -2024-10-30 05:11:51,061 - lightrag - INFO - _check_node_exists:query:MATCH (n:`THE THREE MISS FEZZIWIGS`) RETURN count(n) > 0 AS node_exists:result:True -2024-10-30 05:11:51,234 - lightrag - INFO - _check_node_exists:query:MATCH (n:`THE YOUNG FOLLOWERS`) RETURN count(n) > 0 AS node_exists:result:True -2024-10-30 05:11:51,415 - lightrag - INFO - _do_upsert_edge:query: - MATCH (source:`THE THREE MISS FEZZIWIGS`) - WITH source - MATCH (target:`THE YOUNG FOLLOWERS`) - MERGE (source)-[r:DIRECTED]->(target) - SET r += $properties - RETURN r - :result:None -2024-10-30 05:11:51,599 - lightrag - INFO - _check_edge_existence:query:MATCH (a:`THE COOK`)-[r]-(b:`THE HOUSEMAID`) RETURN COUNT(r) > 0 AS edgeExists:result:False -2024-10-30 05:11:51,772 - lightrag - INFO - _check_node_exists:query:MATCH (n:`THE COOK`) RETURN count(n) > 0 AS node_exists:result:True -2024-10-30 05:11:51,950 - lightrag - INFO - _check_node_exists:query:MATCH (n:`THE HOUSEMAID`) RETURN count(n) > 0 AS node_exists:result:True -2024-10-30 05:11:52,135 - lightrag - INFO - _do_upsert_edge:query: - MATCH (source:`THE COOK`) - WITH source - MATCH (target:`THE HOUSEMAID`) - MERGE (source)-[r:DIRECTED]->(target) - SET r += $properties - RETURN r - :result:None -2024-10-30 05:11:52,315 - lightrag - INFO - _check_edge_existence:query:MATCH (a:`THE BOY FROM OVER THE WAY`)-[r]-(b:`THE GIRL FROM NEXT DOOR`) RETURN COUNT(r) > 0 AS edgeExists:result:False -2024-10-30 05:11:52,487 - lightrag - INFO - _check_node_exists:query:MATCH (n:`THE BOY FROM OVER THE WAY`) RETURN count(n) > 0 AS node_exists:result:True -2024-10-30 05:11:52,659 - lightrag - INFO - _check_node_exists:query:MATCH (n:`THE GIRL FROM NEXT DOOR`) RETURN count(n) > 0 AS node_exists:result:True -2024-10-30 05:11:52,843 - lightrag - INFO - _do_upsert_edge:query: - MATCH (source:`THE BOY FROM OVER THE WAY`) - WITH source - MATCH (target:`THE GIRL FROM NEXT DOOR`) - MERGE (source)-[r:DIRECTED]->(target) - SET r += $properties - RETURN r - :result:None -2024-10-30 05:11:53,030 - lightrag - INFO - _check_edge_existence:query:MATCH (a:`SCROOGE`)-[r]-(b:`THE GHOST OF CHRISTMAS PAST`) RETURN COUNT(r) > 0 AS edgeExists:result:True -2024-10-30 05:11:53,163 - lightrag - INFO - get_edge:query: - MATCH (source:`SCROOGE`)-[r]-(target:`THE GHOST OF CHRISTMAS PAST`) - RETURN r - :result:, ) type='DIRECTED' properties={'keywords': '"introspection, memory"', 'description': '"The Ghost of Christmas Past guides Scrooge through recollections, prompting his introspection about his former self and choices."', 'weight': 10.0, 'source_id': 'chunk-b2f98bc7abb0c67d4c86055c7fd72218'}> -2024-10-30 05:11:53,301 - lightrag - INFO - _check_edge_existence:query:MATCH (a:`FEZZIWIG`)-[r]-(b:`THE DOMESTIC BALL`) RETURN COUNT(r) > 0 AS edgeExists:result:True -2024-10-30 05:11:53,435 - lightrag - INFO - get_edge:query: - MATCH (source:`FEZZIWIG`)-[r]-(target:`THE DOMESTIC BALL`) - RETURN r - :result:, ) type='DIRECTED' properties={'keywords': '"event organization, joy"', 'description': '"Fezziwig organizes the Domestic Ball, showcasing his ability to create joy and camaraderie among guests."', 'weight': 10.0, 'source_id': 'chunk-b2f98bc7abb0c67d4c86055c7fd72218'}> -2024-10-30 05:11:53,575 - lightrag - INFO - _check_edge_existence:query:MATCH (a:`DICK`)-[r]-(b:`SCROOGE`) RETURN COUNT(r) > 0 AS edgeExists:result:True -2024-10-30 05:11:53,707 - lightrag - INFO - get_edge:query: - MATCH (source:`DICK`)-[r]-(target:`SCROOGE`) - RETURN r - :result:, ) type='DIRECTED' properties={'keywords': '"nostalgia, friendship"', 'description': '"Scrooge remembers Dick as a part of his past, highlighting their shared experiences during happier times."', 'weight': 7.0, 'source_id': 'chunk-b2f98bc7abb0c67d4c86055c7fd72218'}> -2024-10-30 05:11:53,850 - lightrag - INFO - _check_edge_existence:query:MATCH (a:`FEZZIWIG`)-[r]-(b:`THE TWO APPRENTICES`) RETURN COUNT(r) > 0 AS edgeExists:result:True -2024-10-30 05:11:53,984 - lightrag - INFO - get_edge:query: - MATCH (source:`FEZZIWIG`)-[r]-(target:`THE TWO APPRENTICES`) - RETURN r - :result:, ) type='DIRECTED' properties={'keywords': '"gratitude, mentorship"', 'description': '"Fezziwig inspires deep gratitude and respect from his apprentices, who appreciate his kindness during their interactions at the ball."', 'weight': 8.0, 'source_id': 'chunk-b2f98bc7abb0c67d4c86055c7fd72218'}> -2024-10-30 05:11:54,122 - lightrag - INFO - _check_edge_existence:query:MATCH (a:`SCROOGE`)-[r]-(b:`THE GOLDEN IDOL`) RETURN COUNT(r) > 0 AS edgeExists:result:False -2024-10-30 05:11:54,279 - lightrag - INFO - _check_node_exists:query:MATCH (n:`SCROOGE`) RETURN count(n) > 0 AS node_exists:result:True -2024-10-30 05:11:54,458 - lightrag - INFO - _check_node_exists:query:MATCH (n:`THE GOLDEN IDOL`) RETURN count(n) > 0 AS node_exists:result:True -2024-10-30 05:11:54,647 - lightrag - INFO - _do_upsert_edge:query: - MATCH (source:`SCROOGE`) - WITH source - MATCH (target:`THE GOLDEN IDOL`) - MERGE (source)-[r:DIRECTED]->(target) - SET r += $properties - RETURN r - :result:None -2024-10-30 05:11:54,834 - lightrag - INFO - _check_edge_existence:query:MATCH (a:`SCROOGE`)-[r]-(b:`THE MOURNING DRESS`) RETURN COUNT(r) > 0 AS edgeExists:result:False -2024-10-30 05:11:54,996 - lightrag - INFO - _check_node_exists:query:MATCH (n:`SCROOGE`) RETURN count(n) > 0 AS node_exists:result:True -2024-10-30 05:11:55,170 - lightrag - INFO - _check_node_exists:query:MATCH (n:`THE MOURNING DRESS`) RETURN count(n) > 0 AS node_exists:result:True -2024-10-30 05:11:55,354 - lightrag - INFO - _do_upsert_edge:query: - MATCH (source:`SCROOGE`) - WITH source - MATCH (target:`THE MOURNING DRESS`) - MERGE (source)-[r:DIRECTED]->(target) - SET r += $properties - RETURN r - :result:None -2024-10-30 05:11:55,537 - lightrag - INFO - _check_edge_existence:query:MATCH (a:`SCROOGE`)-[r]-(b:`THE PRIME OF LIFE`) RETURN COUNT(r) > 0 AS edgeExists:result:False -2024-10-30 05:11:55,693 - lightrag - INFO - _check_node_exists:query:MATCH (n:`SCROOGE`) RETURN count(n) > 0 AS node_exists:result:True -2024-10-30 05:11:55,865 - lightrag - INFO - _check_node_exists:query:MATCH (n:`THE PRIME OF LIFE`) RETURN count(n) > 0 AS node_exists:result:True -2024-10-30 05:11:56,051 - lightrag - INFO - _do_upsert_edge:query: - MATCH (source:`SCROOGE`) - WITH source - MATCH (target:`THE PRIME OF LIFE`) - MERGE (source)-[r:DIRECTED]->(target) - SET r += $properties - RETURN r - :result:None -2024-10-30 05:11:56,231 - lightrag - INFO - _check_edge_existence:query:MATCH (a:`SCROOGE`)-[r]-(b:`THE BEAUTIFUL YOUNG GIRL`) RETURN COUNT(r) > 0 AS edgeExists:result:False -2024-10-30 05:11:56,386 - lightrag - INFO - _check_node_exists:query:MATCH (n:`SCROOGE`) RETURN count(n) > 0 AS node_exists:result:True -2024-10-30 05:11:56,562 - lightrag - INFO - _check_node_exists:query:MATCH (n:`THE BEAUTIFUL YOUNG GIRL`) RETURN count(n) > 0 AS node_exists:result:True -2024-10-30 05:11:56,746 - lightrag - INFO - _do_upsert_edge:query: - MATCH (source:`SCROOGE`) - WITH source - MATCH (target:`THE BEAUTIFUL YOUNG GIRL`) - MERGE (source)-[r:DIRECTED]->(target) - SET r += $properties - RETURN r - :result:None -2024-10-30 05:11:56,936 - lightrag - INFO - _check_edge_existence:query:MATCH (a:`THE BEAUTIFUL YOUNG GIRL`)-[r]-(b:`THE COMELY MATRON`) RETURN COUNT(r) > 0 AS edgeExists:result:False -2024-10-30 05:11:57,124 - lightrag - INFO - _check_node_exists:query:MATCH (n:`THE BEAUTIFUL YOUNG GIRL`) RETURN count(n) > 0 AS node_exists:result:True -2024-10-30 05:11:57,333 - lightrag - INFO - _check_node_exists:query:MATCH (n:`THE COMELY MATRON`) RETURN count(n) > 0 AS node_exists:result:True -2024-10-30 05:11:57,526 - lightrag - INFO - _do_upsert_edge:query: - MATCH (source:`THE BEAUTIFUL YOUNG GIRL`) - WITH source - MATCH (target:`THE COMELY MATRON`) - MERGE (source)-[r:DIRECTED]->(target) - SET r += $properties - RETURN r - :result:None -2024-10-30 05:11:57,710 - lightrag - INFO - _check_edge_existence:query:MATCH (a:`THE CHILDREN`)-[r]-(b:`THE COMELY MATRON`) RETURN COUNT(r) > 0 AS edgeExists:result:False -2024-10-30 05:11:57,877 - lightrag - INFO - _check_node_exists:query:MATCH (n:`THE CHILDREN`) RETURN count(n) > 0 AS node_exists:result:True -2024-10-30 05:11:58,043 - lightrag - INFO - _check_node_exists:query:MATCH (n:`THE COMELY MATRON`) RETURN count(n) > 0 AS node_exists:result:True -2024-10-30 05:11:58,223 - lightrag - INFO - _do_upsert_edge:query: - MATCH (source:`THE CHILDREN`) - WITH source - MATCH (target:`THE COMELY MATRON`) - MERGE (source)-[r:DIRECTED]->(target) - SET r += $properties - RETURN r - :result:None -2024-10-30 05:11:58,401 - lightrag - INFO - _check_edge_existence:query:MATCH (a:`THE CHILDREN`)-[r]-(b:`THE FATHER`) RETURN COUNT(r) > 0 AS edgeExists:result:True -2024-10-30 05:11:58,536 - lightrag - INFO - get_edge:query: - MATCH (source:`THE CHILDREN`)-[r]-(target:`THE FATHER`) - RETURN r - :result:, ) type='DIRECTED' properties={'keywords': '"familial joy, celebration"', 'description': '"The Father engages with the children, highlighting familial bonds and the excitement of Christmas celebrations."', 'weight': 8.0, 'source_id': 'chunk-da2472b4ef2a535b62908f14d0fb0ca9'}> -2024-10-30 05:11:58,673 - lightrag - INFO - _check_edge_existence:query:MATCH (a:`SCROOGE`)-[r]-(b:`THE DOWERLESS GIRL`) RETURN COUNT(r) > 0 AS edgeExists:result:False -2024-10-30 05:11:58,832 - lightrag - INFO - _check_node_exists:query:MATCH (n:`SCROOGE`) RETURN count(n) > 0 AS node_exists:result:True -2024-10-30 05:11:59,003 - lightrag - INFO - _check_node_exists:query:MATCH (n:`THE DOWERLESS GIRL`) RETURN count(n) > 0 AS node_exists:result:True -2024-10-30 05:11:59,185 - lightrag - INFO - _do_upsert_edge:query: - MATCH (source:`SCROOGE`) - WITH source - MATCH (target:`THE DOWERLESS GIRL`) - MERGE (source)-[r:DIRECTED]->(target) - SET r += $properties - RETURN r - :result:None -2024-10-30 05:11:59,364 - lightrag - INFO - _check_edge_existence:query:MATCH (a:`SCROOGE`)-[r]-(b:`THE MEMORY`) RETURN COUNT(r) > 0 AS edgeExists:result:False -2024-10-30 05:11:59,534 - lightrag - INFO - _check_node_exists:query:MATCH (n:`SCROOGE`) RETURN count(n) > 0 AS node_exists:result:True -2024-10-30 05:11:59,708 - lightrag - INFO - _check_node_exists:query:MATCH (n:`THE MEMORY`) RETURN count(n) > 0 AS node_exists:result:True -2024-10-30 05:11:59,898 - lightrag - INFO - _do_upsert_edge:query: - MATCH (source:`SCROOGE`) - WITH source - MATCH (target:`THE MEMORY`) - MERGE (source)-[r:DIRECTED]->(target) - SET r += $properties - RETURN r - :result:None -2024-10-30 05:12:00,084 - lightrag - INFO - _check_edge_existence:query:MATCH (a:`THE FATHER`)-[r]-(b:`THE WINTER FIRE`) RETURN COUNT(r) > 0 AS edgeExists:result:False -2024-10-30 05:12:00,260 - lightrag - INFO - _check_node_exists:query:MATCH (n:`THE FATHER`) RETURN count(n) > 0 AS node_exists:result:True -2024-10-30 05:12:00,429 - lightrag - INFO - _check_node_exists:query:MATCH (n:`THE WINTER FIRE`) RETURN count(n) > 0 AS node_exists:result:True -2024-10-30 05:12:00,612 - lightrag - INFO - _do_upsert_edge:query: - MATCH (source:`THE FATHER`) - WITH source - MATCH (target:`THE WINTER FIRE`) - MERGE (source)-[r:DIRECTED]->(target) - SET r += $properties - RETURN r - :result:None -2024-10-30 05:12:00,796 - lightrag - INFO - _check_edge_existence:query:MATCH (a:`HAPPINESS`)-[r]-(b:`THE BEAUTIFUL YOUNG GIRL`) RETURN COUNT(r) > 0 AS edgeExists:result:False -2024-10-30 05:12:00,972 - lightrag - INFO - _check_node_exists:query:MATCH (n:`HAPPINESS`) RETURN count(n) > 0 AS node_exists:result:True -2024-10-30 05:12:01,134 - lightrag - INFO - _check_node_exists:query:MATCH (n:`THE BEAUTIFUL YOUNG GIRL`) RETURN count(n) > 0 AS node_exists:result:True -2024-10-30 05:12:01,320 - lightrag - INFO - _do_upsert_edge:query: - MATCH (source:`HAPPINESS`) - WITH source - MATCH (target:`THE BEAUTIFUL YOUNG GIRL`) - MERGE (source)-[r:DIRECTED]->(target) - SET r += $properties - RETURN r - :result:None -2024-10-30 05:12:01,500 - lightrag - INFO - _check_edge_existence:query:MATCH (a:`HOPE`)-[r]-(b:`THE COMELY MATRON`) RETURN COUNT(r) > 0 AS edgeExists:result:False -2024-10-30 05:12:01,668 - lightrag - INFO - _check_node_exists:query:MATCH (n:`HOPE`) RETURN count(n) > 0 AS node_exists:result:True -2024-10-30 05:12:01,832 - lightrag - INFO - _check_node_exists:query:MATCH (n:`THE COMELY MATRON`) RETURN count(n) > 0 AS node_exists:result:True -2024-10-30 05:12:02,023 - lightrag - INFO - _do_upsert_edge:query: - MATCH (source:`HOPE`) - WITH source - MATCH (target:`THE COMELY MATRON`) - MERGE (source)-[r:DIRECTED]->(target) - SET r += $properties - RETURN r - :result:None -2024-10-30 05:12:02,208 - lightrag - INFO - _check_edge_existence:query:MATCH (a:`THE COMELY MATRON`)-[r]-(b:`THE YOUNG BRIGANDS`) RETURN COUNT(r) > 0 AS edgeExists:result:False -2024-10-30 05:12:02,373 - lightrag - INFO - _check_node_exists:query:MATCH (n:`THE COMELY MATRON`) RETURN count(n) > 0 AS node_exists:result:True -2024-10-30 05:12:02,541 - lightrag - INFO - _check_node_exists:query:MATCH (n:`THE YOUNG BRIGANDS`) RETURN count(n) > 0 AS node_exists:result:True -2024-10-30 05:12:02,725 - lightrag - INFO - _do_upsert_edge:query: - MATCH (source:`THE COMELY MATRON`) - WITH source - MATCH (target:`THE YOUNG BRIGANDS`) - MERGE (source)-[r:DIRECTED]->(target) - SET r += $properties - RETURN r - :result:None -2024-10-30 05:12:02,914 - lightrag - INFO - _check_edge_existence:query:MATCH (a:`BELLE`)-[r]-(b:`SCROOGE`) RETURN COUNT(r) > 0 AS edgeExists:result:True -2024-10-30 05:12:03,076 - lightrag - INFO - get_edge:query: - MATCH (source:`BELLE`)-[r]-(target:`SCROOGE`) - RETURN r - :result:, ) type='DIRECTED' properties={'keywords': '"lost love, regret"', 'description': '"Scrooge reflects on his lost relationship with Belle, highlighting his feelings of regret and emotional pain."', 'weight': 8.0, 'source_id': 'chunk-da2472b4ef2a535b62908f14d0fb0ca9'}> -2024-10-30 05:12:03,233 - lightrag - INFO - _check_edge_existence:query:MATCH (a:`CHRISTMAS`)-[r]-(b:`THE SPIRIT`) RETURN COUNT(r) > 0 AS edgeExists:result:False -2024-10-30 05:12:03,439 - lightrag - INFO - _check_node_exists:query:MATCH (n:`CHRISTMAS`) RETURN count(n) > 0 AS node_exists:result:True -2024-10-30 05:12:03,622 - lightrag - INFO - _check_node_exists:query:MATCH (n:`THE SPIRIT`) RETURN count(n) > 0 AS node_exists:result:True -2024-10-30 05:12:03,812 - lightrag - INFO - _do_upsert_edge:query: - MATCH (source:`CHRISTMAS`) - WITH source - MATCH (target:`THE SPIRIT`) - MERGE (source)-[r:DIRECTED]->(target) - SET r += $properties - RETURN r - :result:None -2024-10-30 05:12:04,003 - lightrag - INFO - _check_edge_existence:query:MATCH (a:`SCROOGE`)-[r]-(b:`THE OFFICE`) RETURN COUNT(r) > 0 AS edgeExists:result:False -2024-10-30 05:12:04,161 - lightrag - INFO - _check_node_exists:query:MATCH (n:`SCROOGE`) RETURN count(n) > 0 AS node_exists:result:True -2024-10-30 05:12:04,329 - lightrag - INFO - _check_node_exists:query:MATCH (n:`THE OFFICE`) RETURN count(n) > 0 AS node_exists:result:True -2024-10-30 05:12:04,513 - lightrag - INFO - _do_upsert_edge:query: - MATCH (source:`SCROOGE`) - WITH source - MATCH (target:`THE OFFICE`) - MERGE (source)-[r:DIRECTED]->(target) - SET r += $properties - RETURN r - :result:None -2024-10-30 05:12:04,693 - lightrag - INFO - _check_edge_existence:query:MATCH (a:`THE FATHER`)-[r]-(b:`THE MOTHER`) RETURN COUNT(r) > 0 AS edgeExists:result:True -2024-10-30 05:12:04,828 - lightrag - INFO - get_edge:query: - MATCH (source:`THE FATHER`)-[r]-(target:`THE MOTHER`) - RETURN r - :result:, ) type='DIRECTED' properties={'keywords': '"family dynamics, togetherness"', 'description': '"The Mother and Father are depicted together, emphasizing family dynamics during the festive occasion."', 'weight': 6.0, 'source_id': 'chunk-da2472b4ef2a535b62908f14d0fb0ca9'}> -2024-10-30 05:12:04,970 - lightrag - INFO - _check_edge_existence:query:MATCH (a:`THE BABY`)-[r]-(b:`THE CHILDREN`) RETURN COUNT(r) > 0 AS edgeExists:result:False -2024-10-30 05:12:05,145 - lightrag - INFO - _check_node_exists:query:MATCH (n:`THE BABY`) RETURN count(n) > 0 AS node_exists:result:True -2024-10-30 05:12:05,318 - lightrag - INFO - _check_node_exists:query:MATCH (n:`THE CHILDREN`) RETURN count(n) > 0 AS node_exists:result:True -2024-10-30 05:12:05,509 - lightrag - INFO - _do_upsert_edge:query: - MATCH (source:`THE BABY`) - WITH source - MATCH (target:`THE CHILDREN`) - MERGE (source)-[r:DIRECTED]->(target) - SET r += $properties - RETURN r - :result:None -2024-10-30 05:12:05,694 - lightrag - INFO - _check_edge_existence:query:MATCH (a:`THE CHILDREN`)-[r]-(b:`THE PORTER`) RETURN COUNT(r) > 0 AS edgeExists:result:True -2024-10-30 05:12:05,831 - lightrag - INFO - get_edge:query: - MATCH (source:`THE CHILDREN`)-[r]-(target:`THE PORTER`) - RETURN r - :result:, ) type='DIRECTED' properties={'keywords': '"playfulness, joy"', 'description': '"The Children playfully interact with the Porter, creating a scene of joyous chaos and affection."', 'weight': 9.0, 'source_id': 'chunk-da2472b4ef2a535b62908f14d0fb0ca9'}> -2024-10-30 05:12:05,971 - lightrag - INFO - _check_edge_existence:query:MATCH (a:`THE CHILDREN`)-[r]-(b:`THE MOTHER`) RETURN COUNT(r) > 0 AS edgeExists:result:False -2024-10-30 05:12:06,142 - lightrag - INFO - _check_node_exists:query:MATCH (n:`THE CHILDREN`) RETURN count(n) > 0 AS node_exists:result:True -2024-10-30 05:12:06,315 - lightrag - INFO - _check_node_exists:query:MATCH (n:`THE MOTHER`) RETURN count(n) > 0 AS node_exists:result:True -2024-10-30 05:12:06,500 - lightrag - INFO - _do_upsert_edge:query: - MATCH (source:`THE CHILDREN`) - WITH source - MATCH (target:`THE MOTHER`) - MERGE (source)-[r:DIRECTED]->(target) - SET r += $properties - RETURN r - :result:None -2024-10-30 05:12:06,681 - lightrag - INFO - _check_edge_existence:query:MATCH (a:`HOME`)-[r]-(b:`THE MOTHER`) RETURN COUNT(r) > 0 AS edgeExists:result:False -2024-10-30 05:12:06,857 - lightrag - INFO - _check_node_exists:query:MATCH (n:`HOME`) RETURN count(n) > 0 AS node_exists:result:True -2024-10-30 05:12:07,037 - lightrag - INFO - _check_node_exists:query:MATCH (n:`THE MOTHER`) RETURN count(n) > 0 AS node_exists:result:True -2024-10-30 05:12:07,222 - lightrag - INFO - _do_upsert_edge:query: - MATCH (source:`HOME`) - WITH source - MATCH (target:`THE MOTHER`) - MERGE (source)-[r:DIRECTED]->(target) - SET r += $properties - RETURN r - :result:None -2024-10-30 05:12:07,411 - lightrag - INFO - _check_edge_existence:query:MATCH (a:`GHOST OF CHRISTMAS PRESENT`)-[r]-(b:`HOLLY`) RETURN COUNT(r) > 0 AS edgeExists:result:True -2024-10-30 05:12:07,551 - lightrag - INFO - get_edge:query: - MATCH (source:`GHOST OF CHRISTMAS PRESENT`)-[r]-(target:`HOLLY`) - RETURN r - :result:, ) type='DIRECTED' properties={'keywords': '"festive spirit, symbolism"', 'description': '"Holly is part of the Ghost\'s attire, reinforcing the themes of joy and celebration during Christmas."', 'weight': 9.0, 'source_id': 'chunk-843b5b2f944c7413d9ca876e2e2f151f'}> -2024-10-30 05:12:07,692 - lightrag - INFO - _check_edge_existence:query:MATCH (a:`GHOST OF CHRISTMAS PRESENT`)-[r]-(b:`MISTLETOE`) RETURN COUNT(r) > 0 AS edgeExists:result:False -2024-10-30 05:12:07,850 - lightrag - INFO - _check_node_exists:query:MATCH (n:`GHOST OF CHRISTMAS PRESENT`) RETURN count(n) > 0 AS node_exists:result:True -2024-10-30 05:12:08,027 - lightrag - INFO - _check_node_exists:query:MATCH (n:`MISTLETOE`) RETURN count(n) > 0 AS node_exists:result:True -2024-10-30 05:12:08,211 - lightrag - INFO - _do_upsert_edge:query: - MATCH (source:`GHOST OF CHRISTMAS PRESENT`) - WITH source - MATCH (target:`MISTLETOE`) - MERGE (source)-[r:DIRECTED]->(target) - SET r += $properties - RETURN r - :result:None -2024-10-30 05:12:08,392 - lightrag - INFO - _check_edge_existence:query:MATCH (a:`GHOST OF CHRISTMAS PRESENT`)-[r]-(b:`RED BERRIES`) RETURN COUNT(r) > 0 AS edgeExists:result:False -2024-10-30 05:12:08,551 - lightrag - INFO - _check_node_exists:query:MATCH (n:`GHOST OF CHRISTMAS PRESENT`) RETURN count(n) > 0 AS node_exists:result:True -2024-10-30 05:12:08,721 - lightrag - INFO - _check_node_exists:query:MATCH (n:`RED BERRIES`) RETURN count(n) > 0 AS node_exists:result:True -2024-10-30 05:12:08,904 - lightrag - INFO - _do_upsert_edge:query: - MATCH (source:`GHOST OF CHRISTMAS PRESENT`) - WITH source - MATCH (target:`RED BERRIES`) - MERGE (source)-[r:DIRECTED]->(target) - SET r += $properties - RETURN r - :result:None -2024-10-30 05:12:09,083 - lightrag - INFO - _check_edge_existence:query:MATCH (a:`GHOST OF CHRISTMAS PRESENT`)-[r]-(b:`TURKEYS`) RETURN COUNT(r) > 0 AS edgeExists:result:True -2024-10-30 05:12:09,237 - lightrag - INFO - get_edge:query: - MATCH (source:`GHOST OF CHRISTMAS PRESENT`)-[r]-(target:`TURKEYS`) - RETURN r - :result:, ) type='DIRECTED' properties={'keywords': '"feasting, abundance"', 'description': '"The Ghost highlights the presence of Turkeys at the feast, emphasizing the spirit of generosity during Christmas."', 'weight': 8.0, 'source_id': 'chunk-843b5b2f944c7413d9ca876e2e2f151f'}> -2024-10-30 05:12:09,380 - lightrag - INFO - _check_edge_existence:query:MATCH (a:`GHOST OF CHRISTMAS PRESENT`)-[r]-(b:`POULTRY`) RETURN COUNT(r) > 0 AS edgeExists:result:False -2024-10-30 05:12:09,543 - lightrag - INFO - _check_node_exists:query:MATCH (n:`GHOST OF CHRISTMAS PRESENT`) RETURN count(n) > 0 AS node_exists:result:True -2024-10-30 05:12:09,712 - lightrag - INFO - _check_node_exists:query:MATCH (n:`POULTRY`) RETURN count(n) > 0 AS node_exists:result:True -2024-10-30 05:12:09,898 - lightrag - INFO - _do_upsert_edge:query: - MATCH (source:`GHOST OF CHRISTMAS PRESENT`) - WITH source - MATCH (target:`POULTRY`) - MERGE (source)-[r:DIRECTED]->(target) - SET r += $properties - RETURN r - :result:None -2024-10-30 05:12:10,097 - lightrag - INFO - _check_edge_existence:query:MATCH (a:`GHOST OF CHRISTMAS PRESENT`)-[r]-(b:`MEAT`) RETURN COUNT(r) > 0 AS edgeExists:result:False -2024-10-30 05:12:10,256 - lightrag - INFO - _check_node_exists:query:MATCH (n:`GHOST OF CHRISTMAS PRESENT`) RETURN count(n) > 0 AS node_exists:result:True -2024-10-30 05:12:10,433 - lightrag - INFO - _check_node_exists:query:MATCH (n:`MEAT`) RETURN count(n) > 0 AS node_exists:result:True -2024-10-30 05:12:10,614 - lightrag - INFO - _do_upsert_edge:query: - MATCH (source:`GHOST OF CHRISTMAS PRESENT`) - WITH source - MATCH (target:`MEAT`) - MERGE (source)-[r:DIRECTED]->(target) - SET r += $properties - RETURN r - :result:None -2024-10-30 05:12:10,801 - lightrag - INFO - _check_edge_existence:query:MATCH (a:`GHOST OF CHRISTMAS PRESENT`)-[r]-(b:`SAUSAGES`) RETURN COUNT(r) > 0 AS edgeExists:result:True -2024-10-30 05:12:10,942 - lightrag - INFO - get_edge:query: - MATCH (source:`GHOST OF CHRISTMAS PRESENT`)-[r]-(target:`SAUSAGES`) - RETURN r - :result:, ) type='DIRECTED' properties={'keywords': '"celebration, abundance"', 'description': '"Sausages contribute to the lavish spread, symbolizing the abundance of the Christmas feast."', 'weight': 7.0, 'source_id': 'chunk-843b5b2f944c7413d9ca876e2e2f151f'}> -2024-10-30 05:12:11,085 - lightrag - INFO - _check_edge_existence:query:MATCH (a:`GHOST OF CHRISTMAS PRESENT`)-[r]-(b:`OYSTERS`) RETURN COUNT(r) > 0 AS edgeExists:result:False -2024-10-30 05:12:11,247 - lightrag - INFO - _check_node_exists:query:MATCH (n:`GHOST OF CHRISTMAS PRESENT`) RETURN count(n) > 0 AS node_exists:result:True -2024-10-30 05:12:11,423 - lightrag - INFO - _check_node_exists:query:MATCH (n:`OYSTERS`) RETURN count(n) > 0 AS node_exists:result:True -2024-10-30 05:12:11,621 - lightrag - INFO - _do_upsert_edge:query: - MATCH (source:`GHOST OF CHRISTMAS PRESENT`) - WITH source - MATCH (target:`OYSTERS`) - MERGE (source)-[r:DIRECTED]->(target) - SET r += $properties - RETURN r - :result:None -2024-10-30 05:12:11,804 - lightrag - INFO - _check_edge_existence:query:MATCH (a:`GHOST OF CHRISTMAS PRESENT`)-[r]-(b:`PIES`) RETURN COUNT(r) > 0 AS edgeExists:result:False -2024-10-30 05:12:11,960 - lightrag - INFO - _check_node_exists:query:MATCH (n:`GHOST OF CHRISTMAS PRESENT`) RETURN count(n) > 0 AS node_exists:result:True -2024-10-30 05:12:12,132 - lightrag - INFO - _check_node_exists:query:MATCH (n:`PIES`) RETURN count(n) > 0 AS node_exists:result:True -2024-10-30 05:12:12,317 - lightrag - INFO - _do_upsert_edge:query: - MATCH (source:`GHOST OF CHRISTMAS PRESENT`) - WITH source - MATCH (target:`PIES`) - MERGE (source)-[r:DIRECTED]->(target) - SET r += $properties - RETURN r - :result:None -2024-10-30 05:12:12,505 - lightrag - INFO - _check_edge_existence:query:MATCH (a:`GHOST OF CHRISTMAS PRESENT`)-[r]-(b:`PUDDINGS`) RETURN COUNT(r) > 0 AS edgeExists:result:False -2024-10-30 05:12:12,662 - lightrag - INFO - _check_node_exists:query:MATCH (n:`GHOST OF CHRISTMAS PRESENT`) RETURN count(n) > 0 AS node_exists:result:True -2024-10-30 05:12:12,830 - lightrag - INFO - _check_node_exists:query:MATCH (n:`PUDDINGS`) RETURN count(n) > 0 AS node_exists:result:True -2024-10-30 05:12:13,013 - lightrag - INFO - _do_upsert_edge:query: - MATCH (source:`GHOST OF CHRISTMAS PRESENT`) - WITH source - MATCH (target:`PUDDINGS`) - MERGE (source)-[r:DIRECTED]->(target) - SET r += $properties - RETURN r - :result:None -2024-10-30 05:12:13,198 - lightrag - INFO - _check_edge_existence:query:MATCH (a:`FRUIT`)-[r]-(b:`GHOST OF CHRISTMAS PRESENT`) RETURN COUNT(r) > 0 AS edgeExists:result:False -2024-10-30 05:12:13,364 - lightrag - INFO - _check_node_exists:query:MATCH (n:`FRUIT`) RETURN count(n) > 0 AS node_exists:result:True -2024-10-30 05:12:13,525 - lightrag - INFO - _check_node_exists:query:MATCH (n:`GHOST OF CHRISTMAS PRESENT`) RETURN count(n) > 0 AS node_exists:result:True -2024-10-30 05:12:13,705 - lightrag - INFO - _do_upsert_edge:query: - MATCH (source:`FRUIT`) - WITH source - MATCH (target:`GHOST OF CHRISTMAS PRESENT`) - MERGE (source)-[r:DIRECTED]->(target) - SET r += $properties - RETURN r - :result:None -2024-10-30 05:12:13,884 - lightrag - INFO - _check_edge_existence:query:MATCH (a:`GHOST OF CHRISTMAS PRESENT`)-[r]-(b:`PUNCH`) RETURN COUNT(r) > 0 AS edgeExists:result:False -2024-10-30 05:12:14,039 - lightrag - INFO - _check_node_exists:query:MATCH (n:`GHOST OF CHRISTMAS PRESENT`) RETURN count(n) > 0 AS node_exists:result:True -2024-10-30 05:12:14,215 - lightrag - INFO - _check_node_exists:query:MATCH (n:`PUNCH`) RETURN count(n) > 0 AS node_exists:result:True -2024-10-30 05:12:14,398 - lightrag - INFO - _do_upsert_edge:query: - MATCH (source:`GHOST OF CHRISTMAS PRESENT`) - WITH source - MATCH (target:`PUNCH`) - MERGE (source)-[r:DIRECTED]->(target) - SET r += $properties - RETURN r - :result:None -2024-10-30 05:12:14,587 - lightrag - INFO - _check_edge_existence:query:MATCH (a:`ANTIQUE SCABBARD`)-[r]-(b:`GHOST OF CHRISTMAS PRESENT`) RETURN COUNT(r) > 0 AS edgeExists:result:False -2024-10-30 05:12:14,756 - lightrag - INFO - _check_node_exists:query:MATCH (n:`ANTIQUE SCABBARD`) RETURN count(n) > 0 AS node_exists:result:True -2024-10-30 05:12:14,915 - lightrag - INFO - _check_node_exists:query:MATCH (n:`GHOST OF CHRISTMAS PRESENT`) RETURN count(n) > 0 AS node_exists:result:True -2024-10-30 05:12:15,109 - lightrag - INFO - _do_upsert_edge:query: - MATCH (source:`ANTIQUE SCABBARD`) - WITH source - MATCH (target:`GHOST OF CHRISTMAS PRESENT`) - MERGE (source)-[r:DIRECTED]->(target) - SET r += $properties - RETURN r - :result:None -2024-10-30 05:12:15,288 - lightrag - INFO - _check_edge_existence:query:MATCH (a:`CHRISTMAS`)-[r]-(b:`GROCERS'`) RETURN COUNT(r) > 0 AS edgeExists:result:False -2024-10-30 05:12:15,467 - lightrag - INFO - _check_node_exists:query:MATCH (n:`CHRISTMAS`) RETURN count(n) > 0 AS node_exists:result:True -2024-10-30 05:12:15,643 - lightrag - INFO - _check_node_exists:query:MATCH (n:`GROCERS'`) RETURN count(n) > 0 AS node_exists:result:True -2024-10-30 05:12:15,822 - lightrag - INFO - _do_upsert_edge:query: - MATCH (source:`CHRISTMAS`) - WITH source - MATCH (target:`GROCERS'`) - MERGE (source)-[r:DIRECTED]->(target) - SET r += $properties - RETURN r - :result:None -2024-10-30 05:12:16,001 - lightrag - INFO - _check_edge_existence:query:MATCH (a:`CHRISTMAS`)-[r]-(b:`PEOPLE`) RETURN COUNT(r) > 0 AS edgeExists:result:False -2024-10-30 05:12:16,169 - lightrag - INFO - _check_node_exists:query:MATCH (n:`CHRISTMAS`) RETURN count(n) > 0 AS node_exists:result:True -2024-10-30 05:12:16,344 - lightrag - INFO - _check_node_exists:query:MATCH (n:`PEOPLE`) RETURN count(n) > 0 AS node_exists:result:True -2024-10-30 05:12:16,538 - lightrag - INFO - _do_upsert_edge:query: - MATCH (source:`CHRISTMAS`) - WITH source - MATCH (target:`PEOPLE`) - MERGE (source)-[r:DIRECTED]->(target) - SET r += $properties - RETURN r - :result:None -2024-10-30 05:12:16,723 - lightrag - INFO - _check_edge_existence:query:MATCH (a:`CHRISTMAS`)-[r]-(b:`GREAT BRITAIN`) RETURN COUNT(r) > 0 AS edgeExists:result:True -2024-10-30 05:12:16,863 - lightrag - INFO - get_edge:query: - MATCH (source:`CHRISTMAS`)-[r]-(target:`GREAT BRITAIN`) - RETURN r - :result:, ) type='DIRECTED' properties={'keywords': '"celebration, societal mood"', 'description': '"The celebration of Christmas brings a cheerful atmosphere to Great Britain despite the gloomy weather conditions."', 'weight': 7.0, 'source_id': 'chunk-99b0ec7f7e006561352b5d65e849611d'}> -2024-10-30 05:12:17,004 - lightrag - INFO - _check_edge_existence:query:MATCH (a:`SCROOGE`)-[r]-(b:`SPIRIT OF CHRISTMAS PRESENT`) RETURN COUNT(r) > 0 AS edgeExists:result:False -2024-10-30 05:12:17,163 - lightrag - INFO - _check_node_exists:query:MATCH (n:`SCROOGE`) RETURN count(n) > 0 AS node_exists:result:True -2024-10-30 05:12:17,339 - lightrag - INFO - _check_node_exists:query:MATCH (n:`SPIRIT OF CHRISTMAS PRESENT`) RETURN count(n) > 0 AS node_exists:result:True -2024-10-30 05:12:17,526 - lightrag - INFO - _do_upsert_edge:query: - MATCH (source:`SCROOGE`) - WITH source - MATCH (target:`SPIRIT OF CHRISTMAS PRESENT`) - MERGE (source)-[r:DIRECTED]->(target) - SET r += $properties - RETURN r - :result:None -2024-10-30 05:12:17,705 - lightrag - INFO - _check_edge_existence:query:MATCH (a:`BOB CRATCHIT`)-[r]-(b:`SPIRIT OF CHRISTMAS PRESENT`) RETURN COUNT(r) > 0 AS edgeExists:result:False -2024-10-30 05:12:17,875 - lightrag - INFO - _check_node_exists:query:MATCH (n:`BOB CRATCHIT`) RETURN count(n) > 0 AS node_exists:result:True -2024-10-30 05:12:18,045 - lightrag - INFO - _check_node_exists:query:MATCH (n:`SPIRIT OF CHRISTMAS PRESENT`) RETURN count(n) > 0 AS node_exists:result:True -2024-10-30 05:12:18,241 - lightrag - INFO - _do_upsert_edge:query: - MATCH (source:`BOB CRATCHIT`) - WITH source - MATCH (target:`SPIRIT OF CHRISTMAS PRESENT`) - MERGE (source)-[r:DIRECTED]->(target) - SET r += $properties - RETURN r - :result:None -2024-10-30 05:12:18,455 - lightrag - INFO - _check_edge_existence:query:MATCH (a:`BOB CRATCHIT`)-[r]-(b:`THE CRATCHIT HOUSEHOLD`) RETURN COUNT(r) > 0 AS edgeExists:result:False -2024-10-30 05:12:18,630 - lightrag - INFO - _check_node_exists:query:MATCH (n:`BOB CRATCHIT`) RETURN count(n) > 0 AS node_exists:result:True -2024-10-30 05:12:18,800 - lightrag - INFO - _check_node_exists:query:MATCH (n:`THE CRATCHIT HOUSEHOLD`) RETURN count(n) > 0 AS node_exists:result:True -2024-10-30 05:12:18,984 - lightrag - INFO - _do_upsert_edge:query: - MATCH (source:`BOB CRATCHIT`) - WITH source - MATCH (target:`THE CRATCHIT HOUSEHOLD`) - MERGE (source)-[r:DIRECTED]->(target) - SET r += $properties - RETURN r - :result:None -2024-10-30 05:12:19,166 - lightrag - INFO - _check_edge_existence:query:MATCH (a:`MRS. CRATCHIT`)-[r]-(b:`THE CRATCHIT HOUSEHOLD`) RETURN COUNT(r) > 0 AS edgeExists:result:False -2024-10-30 05:12:19,341 - lightrag - INFO - _check_node_exists:query:MATCH (n:`MRS. CRATCHIT`) RETURN count(n) > 0 AS node_exists:result:True -2024-10-30 05:12:19,515 - lightrag - INFO - _check_node_exists:query:MATCH (n:`THE CRATCHIT HOUSEHOLD`) RETURN count(n) > 0 AS node_exists:result:True -2024-10-30 05:12:19,700 - lightrag - INFO - _do_upsert_edge:query: - MATCH (source:`MRS. CRATCHIT`) - WITH source - MATCH (target:`THE CRATCHIT HOUSEHOLD`) - MERGE (source)-[r:DIRECTED]->(target) - SET r += $properties - RETURN r - :result:None -2024-10-30 05:12:19,882 - lightrag - INFO - _check_edge_existence:query:MATCH (a:`BELINDA CRATCHIT`)-[r]-(b:`THE CRATCHIT HOUSEHOLD`) RETURN COUNT(r) > 0 AS edgeExists:result:False -2024-10-30 05:12:20,052 - lightrag - INFO - _check_node_exists:query:MATCH (n:`BELINDA CRATCHIT`) RETURN count(n) > 0 AS node_exists:result:True -2024-10-30 05:12:20,225 - lightrag - INFO - _check_node_exists:query:MATCH (n:`THE CRATCHIT HOUSEHOLD`) RETURN count(n) > 0 AS node_exists:result:True -2024-10-30 05:12:20,412 - lightrag - INFO - _do_upsert_edge:query: - MATCH (source:`BELINDA CRATCHIT`) - WITH source - MATCH (target:`THE CRATCHIT HOUSEHOLD`) - MERGE (source)-[r:DIRECTED]->(target) - SET r += $properties - RETURN r - :result:None -2024-10-30 05:12:20,598 - lightrag - INFO - _check_edge_existence:query:MATCH (a:`MRS. CRATCHIT`)-[r]-(b:`PETER CRATCHIT`) RETURN COUNT(r) > 0 AS edgeExists:result:True -2024-10-30 05:12:20,736 - lightrag - INFO - get_edge:query: - MATCH (source:`MRS. CRATCHIT`)-[r]-(target:`PETER CRATCHIT`) - RETURN r - :result:, ) type='DIRECTED' properties={'keywords': '"family participation, dynamic"', 'description': '"Peter Cratchit assists his mother, reflecting the family dynamic and contribution of children during festive preparations."', 'weight': 7.0, 'source_id': 'chunk-b0f459f5af1c3a5e0b92cbe4ee48b77b'}> -2024-10-30 05:12:20,874 - lightrag - INFO - _check_edge_existence:query:MATCH (a:`THE GROCER`)-[r]-(b:`THE PEOPLE`) RETURN COUNT(r) > 0 AS edgeExists:result:False -2024-10-30 05:12:21,045 - lightrag - INFO - _check_node_exists:query:MATCH (n:`THE GROCER`) RETURN count(n) > 0 AS node_exists:result:True -2024-10-30 05:12:21,220 - lightrag - INFO - _check_node_exists:query:MATCH (n:`THE PEOPLE`) RETURN count(n) > 0 AS node_exists:result:True -2024-10-30 05:12:21,406 - lightrag - INFO - _do_upsert_edge:query: - MATCH (source:`THE GROCER`) - WITH source - MATCH (target:`THE PEOPLE`) - MERGE (source)-[r:DIRECTED]->(target) - SET r += $properties - RETURN r - :result:None -2024-10-30 05:12:21,590 - lightrag - INFO - _check_edge_existence:query:MATCH (a:`THE CRATCHIT HOUSEHOLD`)-[r]-(b:`THE SPIRIT OF CHRISTMAS PRESENT`) RETURN COUNT(r) > 0 AS edgeExists:result:False -2024-10-30 05:12:21,750 - lightrag - INFO - _check_node_exists:query:MATCH (n:`THE CRATCHIT HOUSEHOLD`) RETURN count(n) > 0 AS node_exists:result:True -2024-10-30 05:12:21,924 - lightrag - INFO - _check_node_exists:query:MATCH (n:`THE SPIRIT OF CHRISTMAS PRESENT`) RETURN count(n) > 0 AS node_exists:result:False -2024-10-30 05:12:22,098 - lightrag - INFO - _do_upsert:query: - MERGE (n:`THE SPIRIT OF CHRISTMAS PRESENT`) - SET n += $properties - RETURN n - :result:{'entity_type': '"UNKNOWN"', 'description': '"The Spirit observes and blesses The Cratchit Household, showcasing the joy and struggles of families during Christmas."', 'source_id': 'chunk-b0f459f5af1c3a5e0b92cbe4ee48b77b'} -2024-10-30 05:12:22,284 - lightrag - INFO - _do_upsert_edge:query: - MATCH (source:`THE CRATCHIT HOUSEHOLD`) - WITH source - MATCH (target:`THE SPIRIT OF CHRISTMAS PRESENT`) - MERGE (source)-[r:DIRECTED]->(target) - SET r += $properties - RETURN r - :result:None -2024-10-30 05:12:22,468 - lightrag - INFO - _check_edge_existence:query:MATCH (a:`THE BAKER'S SHOP`)-[r]-(b:`THE PEOPLE`) RETURN COUNT(r) > 0 AS edgeExists:result:False -2024-10-30 05:12:22,640 - lightrag - INFO - _check_node_exists:query:MATCH (n:`THE BAKER'S SHOP`) RETURN count(n) > 0 AS node_exists:result:True -2024-10-30 05:12:22,812 - lightrag - INFO - _check_node_exists:query:MATCH (n:`THE PEOPLE`) RETURN count(n) > 0 AS node_exists:result:True -2024-10-30 05:12:22,992 - lightrag - INFO - _do_upsert_edge:query: - MATCH (source:`THE BAKER'S SHOP`) - WITH source - MATCH (target:`THE PEOPLE`) - MERGE (source)-[r:DIRECTED]->(target) - SET r += $properties - RETURN r - :result:None -2024-10-30 05:12:23,168 - lightrag - INFO - _check_edge_existence:query:MATCH (a:`THE SPIRIT OF CHRISTMAS PRESENT`)-[r]-(b:`THE STREETS`) RETURN COUNT(r) > 0 AS edgeExists:result:False -2024-10-30 05:12:23,339 - lightrag - INFO - _check_node_exists:query:MATCH (n:`THE SPIRIT OF CHRISTMAS PRESENT`) RETURN count(n) > 0 AS node_exists:result:True -2024-10-30 05:12:23,513 - lightrag - INFO - _check_node_exists:query:MATCH (n:`THE STREETS`) RETURN count(n) > 0 AS node_exists:result:True -2024-10-30 05:12:23,701 - lightrag - INFO - _do_upsert_edge:query: - MATCH (source:`THE SPIRIT OF CHRISTMAS PRESENT`) - WITH source - MATCH (target:`THE STREETS`) - MERGE (source)-[r:DIRECTED]->(target) - SET r += $properties - RETURN r - :result:None -2024-10-30 05:12:23,883 - lightrag - INFO - _check_edge_existence:query:MATCH (a:`THE CRATCHIT HOUSEHOLD`)-[r]-(b:`THE SUBURBS`) RETURN COUNT(r) > 0 AS edgeExists:result:False -2024-10-30 05:12:24,041 - lightrag - INFO - _check_node_exists:query:MATCH (n:`THE CRATCHIT HOUSEHOLD`) RETURN count(n) > 0 AS node_exists:result:True -2024-10-30 05:12:24,214 - lightrag - INFO - _check_node_exists:query:MATCH (n:`THE SUBURBS`) RETURN count(n) > 0 AS node_exists:result:True -2024-10-30 05:12:24,401 - lightrag - INFO - _do_upsert_edge:query: - MATCH (source:`THE CRATCHIT HOUSEHOLD`) - WITH source - MATCH (target:`THE SUBURBS`) - MERGE (source)-[r:DIRECTED]->(target) - SET r += $properties - RETURN r - :result:None -2024-10-30 05:12:24,585 - lightrag - INFO - _check_edge_existence:query:MATCH (a:`DINNERS`)-[r]-(b:`THE CRATCHIT HOUSEHOLD`) RETURN COUNT(r) > 0 AS edgeExists:result:False -2024-10-30 05:12:24,762 - lightrag - INFO - _check_node_exists:query:MATCH (n:`DINNERS`) RETURN count(n) > 0 AS node_exists:result:True -2024-10-30 05:12:24,921 - lightrag - INFO - _check_node_exists:query:MATCH (n:`THE CRATCHIT HOUSEHOLD`) RETURN count(n) > 0 AS node_exists:result:True -2024-10-30 05:12:25,104 - lightrag - INFO - _do_upsert_edge:query: - MATCH (source:`DINNERS`) - WITH source - MATCH (target:`THE CRATCHIT HOUSEHOLD`) - MERGE (source)-[r:DIRECTED]->(target) - SET r += $properties - RETURN r - :result:None -2024-10-30 05:12:25,285 - lightrag - INFO - _check_edge_existence:query:MATCH (a:`BOB CRATCHIT`)-[r]-(b:`MARTHA`) RETURN COUNT(r) > 0 AS edgeExists:result:False -2024-10-30 05:12:25,459 - lightrag - INFO - _check_node_exists:query:MATCH (n:`BOB CRATCHIT`) RETURN count(n) > 0 AS node_exists:result:True -2024-10-30 05:12:25,637 - lightrag - INFO - _check_node_exists:query:MATCH (n:`MARTHA`) RETURN count(n) > 0 AS node_exists:result:True -2024-10-30 05:12:25,824 - lightrag - INFO - _do_upsert_edge:query: - MATCH (source:`BOB CRATCHIT`) - WITH source - MATCH (target:`MARTHA`) - MERGE (source)-[r:DIRECTED]->(target) - SET r += $properties - RETURN r - :result:None -2024-10-30 05:12:26,011 - lightrag - INFO - _check_edge_existence:query:MATCH (a:`CRATCHIT CHRISTMAS DINNER`)-[r]-(b:`CRATCHIT FAMILY`) RETURN COUNT(r) > 0 AS edgeExists:result:False -2024-10-30 05:12:26,179 - lightrag - INFO - _check_node_exists:query:MATCH (n:`CRATCHIT CHRISTMAS DINNER`) RETURN count(n) > 0 AS node_exists:result:True -2024-10-30 05:12:26,356 - lightrag - INFO - _check_node_exists:query:MATCH (n:`CRATCHIT FAMILY`) RETURN count(n) > 0 AS node_exists:result:True -2024-10-30 05:12:26,543 - lightrag - INFO - _do_upsert_edge:query: - MATCH (source:`CRATCHIT CHRISTMAS DINNER`) - WITH source - MATCH (target:`CRATCHIT FAMILY`) - MERGE (source)-[r:DIRECTED]->(target) - SET r += $properties - RETURN r - :result:None -2024-10-30 05:12:26,726 - lightrag - INFO - _check_edge_existence:query:MATCH (a:`CRATCHIT FAMILY`)-[r]-(b:`TINY TIM`) RETURN COUNT(r) > 0 AS edgeExists:result:True -2024-10-30 05:12:26,866 - lightrag - INFO - get_edge:query: - MATCH (source:`CRATCHIT FAMILY`)-[r]-(target:`TINY TIM`) - RETURN r - :result:, ) type='DIRECTED' properties={'keywords': '"family bond, celebration""family ties, innocence"', 'description': '"Tiny Tim\'s presence in the Cratchit family adds to their joy and highlights the family\'s spirit of togetherness during Christmas.""Tiny Tim, as part of the Cratchit Family, represents the innocence and vulnerability of the family, affecting their dynamics during Christmas."', 'weight': 15.0, 'source_id': 'chunk-7e2e7ebcc19a53b399dc03aded4743e7chunk-19d72c57ae3408758b18d2568e86dc6b'}> -2024-10-30 05:12:27,009 - lightrag - INFO - _check_edge_existence:query:MATCH (a:`CRATCHIT CHRISTMAS DINNER`)-[r]-(b:`MRS. CRATCHIT`) RETURN COUNT(r) > 0 AS edgeExists:result:False -2024-10-30 05:12:27,182 - lightrag - INFO - _check_node_exists:query:MATCH (n:`CRATCHIT CHRISTMAS DINNER`) RETURN count(n) > 0 AS node_exists:result:True -2024-10-30 05:12:27,354 - lightrag - INFO - _check_node_exists:query:MATCH (n:`MRS. CRATCHIT`) RETURN count(n) > 0 AS node_exists:result:True -2024-10-30 05:12:27,541 - lightrag - INFO - _do_upsert_edge:query: - MATCH (source:`CRATCHIT CHRISTMAS DINNER`) - WITH source - MATCH (target:`MRS. CRATCHIT`) - MERGE (source)-[r:DIRECTED]->(target) - SET r += $properties - RETURN r - :result:None -2024-10-30 05:12:27,722 - lightrag - INFO - _check_edge_existence:query:MATCH (a:`CRATCHIT CHRISTMAS DINNER`)-[r]-(b:`THE GOOSE`) RETURN COUNT(r) > 0 AS edgeExists:result:False -2024-10-30 05:12:27,881 - lightrag - INFO - _check_node_exists:query:MATCH (n:`CRATCHIT CHRISTMAS DINNER`) RETURN count(n) > 0 AS node_exists:result:True -2024-10-30 05:12:28,050 - lightrag - INFO - _check_node_exists:query:MATCH (n:`THE GOOSE`) RETURN count(n) > 0 AS node_exists:result:True -2024-10-30 05:12:28,234 - lightrag - INFO - _do_upsert_edge:query: - MATCH (source:`CRATCHIT CHRISTMAS DINNER`) - WITH source - MATCH (target:`THE GOOSE`) - MERGE (source)-[r:DIRECTED]->(target) - SET r += $properties - RETURN r - :result:None -2024-10-30 05:12:28,418 - lightrag - INFO - _check_edge_existence:query:MATCH (a:`THE YOUNG CRATCHITS`)-[r]-(b:`TINY TIM`) RETURN COUNT(r) > 0 AS edgeExists:result:False -2024-10-30 05:12:28,585 - lightrag - INFO - _check_node_exists:query:MATCH (n:`THE YOUNG CRATCHITS`) RETURN count(n) > 0 AS node_exists:result:True -2024-10-30 05:12:28,757 - lightrag - INFO - _check_node_exists:query:MATCH (n:`TINY TIM`) RETURN count(n) > 0 AS node_exists:result:True -2024-10-30 05:12:28,939 - lightrag - INFO - _do_upsert_edge:query: - MATCH (source:`THE YOUNG CRATCHITS`) - WITH source - MATCH (target:`TINY TIM`) - MERGE (source)-[r:DIRECTED]->(target) - SET r += $properties - RETURN r - :result:None -2024-10-30 05:12:29,118 - lightrag - INFO - _check_edge_existence:query:MATCH (a:`THE FIRE`)-[r]-(b:`TINY TIM`) RETURN COUNT(r) > 0 AS edgeExists:result:False -2024-10-30 05:12:29,286 - lightrag - INFO - _check_node_exists:query:MATCH (n:`THE FIRE`) RETURN count(n) > 0 AS node_exists:result:True -2024-10-30 05:12:29,456 - lightrag - INFO - _check_node_exists:query:MATCH (n:`TINY TIM`) RETURN count(n) > 0 AS node_exists:result:True -2024-10-30 05:12:29,643 - lightrag - INFO - _do_upsert_edge:query: - MATCH (source:`THE FIRE`) - WITH source - MATCH (target:`TINY TIM`) - MERGE (source)-[r:DIRECTED]->(target) - SET r += $properties - RETURN r - :result:None -2024-10-30 05:12:29,832 - lightrag - INFO - _check_edge_existence:query:MATCH (a:`CRATCHIT CHRISTMAS DINNER`)-[r]-(b:`THE PUDDING`) RETURN COUNT(r) > 0 AS edgeExists:result:False -2024-10-30 05:12:29,990 - lightrag - INFO - _check_node_exists:query:MATCH (n:`CRATCHIT CHRISTMAS DINNER`) RETURN count(n) > 0 AS node_exists:result:True -2024-10-30 05:12:30,158 - lightrag - INFO - _check_node_exists:query:MATCH (n:`THE PUDDING`) RETURN count(n) > 0 AS node_exists:result:True -2024-10-30 05:12:30,341 - lightrag - INFO - _do_upsert_edge:query: - MATCH (source:`CRATCHIT CHRISTMAS DINNER`) - WITH source - MATCH (target:`THE PUDDING`) - MERGE (source)-[r:DIRECTED]->(target) - SET r += $properties - RETURN r - :result:None -2024-10-30 05:12:30,532 - lightrag - INFO - _check_edge_existence:query:MATCH (a:`MRS. CRATCHIT`)-[r]-(b:`THE DINNER`) RETURN COUNT(r) > 0 AS edgeExists:result:False -2024-10-30 05:12:30,707 - lightrag - INFO - _check_node_exists:query:MATCH (n:`MRS. CRATCHIT`) RETURN count(n) > 0 AS node_exists:result:True -2024-10-30 05:12:30,883 - lightrag - INFO - _check_node_exists:query:MATCH (n:`THE DINNER`) RETURN count(n) > 0 AS node_exists:result:True -2024-10-30 05:12:31,064 - lightrag - INFO - _do_upsert_edge:query: - MATCH (source:`MRS. CRATCHIT`) - WITH source - MATCH (target:`THE DINNER`) - MERGE (source)-[r:DIRECTED]->(target) - SET r += $properties - RETURN r - :result:None -2024-10-30 05:12:31,250 - lightrag - INFO - _check_edge_existence:query:MATCH (a:`THE CRATCHIT FAMILY`)-[r]-(b:`THE DINNER`) RETURN COUNT(r) > 0 AS edgeExists:result:False -2024-10-30 05:12:31,420 - lightrag - INFO - _check_node_exists:query:MATCH (n:`THE CRATCHIT FAMILY`) RETURN count(n) > 0 AS node_exists:result:True -2024-10-30 05:12:31,595 - lightrag - INFO - _check_node_exists:query:MATCH (n:`THE DINNER`) RETURN count(n) > 0 AS node_exists:result:True -2024-10-30 05:12:31,778 - lightrag - INFO - _do_upsert_edge:query: - MATCH (source:`THE CRATCHIT FAMILY`) - WITH source - MATCH (target:`THE DINNER`) - MERGE (source)-[r:DIRECTED]->(target) - SET r += $properties - RETURN r - :result:None -2024-10-30 05:12:31,968 - lightrag - INFO - _check_edge_existence:query:MATCH (a:`SCROOGE`)-[r]-(b:`TINY TIM`) RETURN COUNT(r) > 0 AS edgeExists:result:True -2024-10-30 05:12:32,102 - lightrag - INFO - get_edge:query: - MATCH (source:`SCROOGE`)-[r]-(target:`TINY TIM`) - RETURN r - :result:, ) type='DIRECTED' properties={'keywords': '"personal transformation, empathy""transformation, mentorship""transformation, redemption"', 'description': '"Scrooge becomes a father figure to Tiny Tim, showing a deep commitment to his well-being after realizing the importance of family and caring for others.""Scrooge reflects on Tiny Tim and expresses concern for his wellbeing, indicating a pivotal change in his character and attitudes towards the less fortunate.""Scrooge\'s transformation is influenced by his reflections on the impact of Tiny Tim\'s life and death."', 'weight': 26.0, 'source_id': 'chunk-94bea83e7153fc2064aa382b494936a1chunk-503f0bfa5453467c7c61d160a3540ecachunk-91572b3cd42786ba4cb2f180ca25cbf4'}> -2024-10-30 05:12:32,239 - lightrag - INFO - _check_edge_existence:query:MATCH (a:`THE DINNER`)-[r]-(b:`THE GOOSE`) RETURN COUNT(r) > 0 AS edgeExists:result:False -2024-10-30 05:12:32,401 - lightrag - INFO - _check_node_exists:query:MATCH (n:`THE DINNER`) RETURN count(n) > 0 AS node_exists:result:True -2024-10-30 05:12:32,574 - lightrag - INFO - _check_node_exists:query:MATCH (n:`THE GOOSE`) RETURN count(n) > 0 AS node_exists:result:True -2024-10-30 05:12:32,756 - lightrag - INFO - _do_upsert_edge:query: - MATCH (source:`THE DINNER`) - WITH source - MATCH (target:`THE GOOSE`) - MERGE (source)-[r:DIRECTED]->(target) - SET r += $properties - RETURN r - :result:None -2024-10-30 05:12:32,941 - lightrag - INFO - _check_edge_existence:query:MATCH (a:`THE DINNER`)-[r]-(b:`THE PUDDING`) RETURN COUNT(r) > 0 AS edgeExists:result:False -2024-10-30 05:12:33,104 - lightrag - INFO - _check_node_exists:query:MATCH (n:`THE DINNER`) RETURN count(n) > 0 AS node_exists:result:True -2024-10-30 05:12:33,273 - lightrag - INFO - _check_node_exists:query:MATCH (n:`THE PUDDING`) RETURN count(n) > 0 AS node_exists:result:True -2024-10-30 05:12:33,454 - lightrag - INFO - _do_upsert_edge:query: - MATCH (source:`THE DINNER`) - WITH source - MATCH (target:`THE PUDDING`) - MERGE (source)-[r:DIRECTED]->(target) - SET r += $properties - RETURN r - :result:None -2024-10-30 05:12:33,641 - lightrag - INFO - _check_edge_existence:query:MATCH (a:`MISS BELINDA`)-[r]-(b:`THE DINNER`) RETURN COUNT(r) > 0 AS edgeExists:result:False -2024-10-30 05:12:33,818 - lightrag - INFO - _check_node_exists:query:MATCH (n:`MISS BELINDA`) RETURN count(n) > 0 AS node_exists:result:True -2024-10-30 05:12:33,976 - lightrag - INFO - _check_node_exists:query:MATCH (n:`THE DINNER`) RETURN count(n) > 0 AS node_exists:result:True -2024-10-30 05:12:34,156 - lightrag - INFO - _do_upsert_edge:query: - MATCH (source:`MISS BELINDA`) - WITH source - MATCH (target:`THE DINNER`) - MERGE (source)-[r:DIRECTED]->(target) - SET r += $properties - RETURN r - :result:None -2024-10-30 05:12:34,335 - lightrag - INFO - _check_edge_existence:query:MATCH (a:`CHRISTMAS`)-[r]-(b:`THE DINNER`) RETURN COUNT(r) > 0 AS edgeExists:result:False -2024-10-30 05:12:34,503 - lightrag - INFO - _check_node_exists:query:MATCH (n:`CHRISTMAS`) RETURN count(n) > 0 AS node_exists:result:True -2024-10-30 05:12:34,662 - lightrag - INFO - _check_node_exists:query:MATCH (n:`THE DINNER`) RETURN count(n) > 0 AS node_exists:result:True -2024-10-30 05:12:34,856 - lightrag - INFO - _do_upsert_edge:query: - MATCH (source:`CHRISTMAS`) - WITH source - MATCH (target:`THE DINNER`) - MERGE (source)-[r:DIRECTED]->(target) - SET r += $properties - RETURN r - :result:None -2024-10-30 05:12:35,038 - lightrag - INFO - _check_edge_existence:query:MATCH (a:`SCROOGE`)-[r]-(b:`THE FOUNDER OF THE FEAST`) RETURN COUNT(r) > 0 AS edgeExists:result:False -2024-10-30 05:12:35,195 - lightrag - INFO - _check_node_exists:query:MATCH (n:`SCROOGE`) RETURN count(n) > 0 AS node_exists:result:True -2024-10-30 05:12:35,363 - lightrag - INFO - _check_node_exists:query:MATCH (n:`THE FOUNDER OF THE FEAST`) RETURN count(n) > 0 AS node_exists:result:True -2024-10-30 05:12:35,548 - lightrag - INFO - _do_upsert_edge:query: - MATCH (source:`SCROOGE`) - WITH source - MATCH (target:`THE FOUNDER OF THE FEAST`) - MERGE (source)-[r:DIRECTED]->(target) - SET r += $properties - RETURN r - :result:None -2024-10-30 05:12:35,736 - lightrag - INFO - _check_edge_existence:query:MATCH (a:`MRS. CRATCHIT`)-[r]-(b:`SCROOGE`) RETURN COUNT(r) > 0 AS edgeExists:result:True -2024-10-30 05:12:35,868 - lightrag - INFO - get_edge:query: - MATCH (source:`MRS. CRATCHIT`)-[r]-(target:`SCROOGE`) - RETURN r - :result:, ) type='DIRECTED' properties={'keywords': '"criticism, emotional conflict"', 'description': '"Mrs. Cratchit openly criticizes Scrooge during the Christmas dinner, expressing her feelings towards him and emphasizing the family\'s resentment."', 'weight': 8.0, 'source_id': 'chunk-19d72c57ae3408758b18d2568e86dc6b'}> -2024-10-30 05:12:36,011 - lightrag - INFO - _check_edge_existence:query:MATCH (a:`CRATCHIT FAMILY`)-[r]-(b:`THE SPIRIT`) RETURN COUNT(r) > 0 AS edgeExists:result:False -2024-10-30 05:12:36,179 - lightrag - INFO - _check_node_exists:query:MATCH (n:`CRATCHIT FAMILY`) RETURN count(n) > 0 AS node_exists:result:True -2024-10-30 05:12:36,349 - lightrag - INFO - _check_node_exists:query:MATCH (n:`THE SPIRIT`) RETURN count(n) > 0 AS node_exists:result:True -2024-10-30 05:12:36,536 - lightrag - INFO - _do_upsert_edge:query: - MATCH (source:`CRATCHIT FAMILY`) - WITH source - MATCH (target:`THE SPIRIT`) - MERGE (source)-[r:DIRECTED]->(target) - SET r += $properties - RETURN r - :result:None -2024-10-30 05:12:36,719 - lightrag - INFO - _check_edge_existence:query:MATCH (a:`CHRISTMAS DAY`)-[r]-(b:`CRATCHIT FAMILY`) RETURN COUNT(r) > 0 AS edgeExists:result:True -2024-10-30 05:12:36,857 - lightrag - INFO - get_edge:query: - MATCH (source:`CHRISTMAS DAY`)-[r]-(target:`CRATCHIT FAMILY`) - RETURN r - :result:, ) type='DIRECTED' properties={'keywords': '"celebration, tradition""celebration, unity"', 'description': '"The Cratchit Family gathers to celebrate Christmas Day, reflecting their togetherness and joy despite their hardships.""The Cratchit Family\'s celebration on Christmas Day emphasizes their unity and joy in sharing the holiday together."', 'weight': 19.0, 'source_id': 'chunk-7e2e7ebcc19a53b399dc03aded4743e7chunk-19d72c57ae3408758b18d2568e86dc6b'}> -2024-10-30 05:12:37,000 - lightrag - INFO - _check_edge_existence:query:MATCH (a:`MARTHA CRATCHIT`)-[r]-(b:`PETER CRATCHIT`) RETURN COUNT(r) > 0 AS edgeExists:result:False -2024-10-30 05:12:37,172 - lightrag - INFO - _check_node_exists:query:MATCH (n:`MARTHA CRATCHIT`) RETURN count(n) > 0 AS node_exists:result:True -2024-10-30 05:12:37,341 - lightrag - INFO - _check_node_exists:query:MATCH (n:`PETER CRATCHIT`) RETURN count(n) > 0 AS node_exists:result:True -2024-10-30 05:12:37,523 - lightrag - INFO - _do_upsert_edge:query: - MATCH (source:`MARTHA CRATCHIT`) - WITH source - MATCH (target:`PETER CRATCHIT`) - MERGE (source)-[r:DIRECTED]->(target) - SET r += $properties - RETURN r - :result:None -2024-10-30 05:12:37,727 - lightrag - INFO - _check_edge_existence:query:MATCH (a:`MARTHA CRATCHIT`)-[r]-(b:`THE COUNTESS`) RETURN COUNT(r) > 0 AS edgeExists:result:False -2024-10-30 05:12:37,928 - lightrag - INFO - _check_node_exists:query:MATCH (n:`MARTHA CRATCHIT`) RETURN count(n) > 0 AS node_exists:result:True -2024-10-30 05:12:38,099 - lightrag - INFO - _check_node_exists:query:MATCH (n:`THE COUNTESS`) RETURN count(n) > 0 AS node_exists:result:True -2024-10-30 05:12:38,288 - lightrag - INFO - _do_upsert_edge:query: - MATCH (source:`MARTHA CRATCHIT`) - WITH source - MATCH (target:`THE COUNTESS`) - MERGE (source)-[r:DIRECTED]->(target) - SET r += $properties - RETURN r - :result:None -2024-10-30 05:12:38,473 - lightrag - INFO - _check_edge_existence:query:MATCH (a:`THE CRATCHIT FAMILY`)-[r]-(b:`TINY TIM`) RETURN COUNT(r) > 0 AS edgeExists:result:False -2024-10-30 05:12:38,642 - lightrag - INFO - _check_node_exists:query:MATCH (n:`THE CRATCHIT FAMILY`) RETURN count(n) > 0 AS node_exists:result:True -2024-10-30 05:12:38,812 - lightrag - INFO - _check_node_exists:query:MATCH (n:`TINY TIM`) RETURN count(n) > 0 AS node_exists:result:True -2024-10-30 05:12:39,005 - lightrag - INFO - _do_upsert_edge:query: - MATCH (source:`THE CRATCHIT FAMILY`) - WITH source - MATCH (target:`TINY TIM`) - MERGE (source)-[r:DIRECTED]->(target) - SET r += $properties - RETURN r - :result:None -2024-10-30 05:12:39,201 - lightrag - INFO - _check_edge_existence:query:MATCH (a:`BOB CRATCHIT`)-[r]-(b:`THE GATHERING`) RETURN COUNT(r) > 0 AS edgeExists:result:False -2024-10-30 05:12:39,372 - lightrag - INFO - _check_node_exists:query:MATCH (n:`BOB CRATCHIT`) RETURN count(n) > 0 AS node_exists:result:True -2024-10-30 05:12:39,542 - lightrag - INFO - _check_node_exists:query:MATCH (n:`THE GATHERING`) RETURN count(n) > 0 AS node_exists:result:True -2024-10-30 05:12:39,725 - lightrag - INFO - _do_upsert_edge:query: - MATCH (source:`BOB CRATCHIT`) - WITH source - MATCH (target:`THE GATHERING`) - MERGE (source)-[r:DIRECTED]->(target) - SET r += $properties - RETURN r - :result:None -2024-10-30 05:12:39,906 - lightrag - INFO - _check_edge_existence:query:MATCH (a:`THE GATHERING`)-[r]-(b:`THE SPIRIT`) RETURN COUNT(r) > 0 AS edgeExists:result:False -2024-10-30 05:12:40,080 - lightrag - INFO - _check_node_exists:query:MATCH (n:`THE GATHERING`) RETURN count(n) > 0 AS node_exists:result:True -2024-10-30 05:12:40,249 - lightrag - INFO - _check_node_exists:query:MATCH (n:`THE SPIRIT`) RETURN count(n) > 0 AS node_exists:result:True -2024-10-30 05:12:40,427 - lightrag - INFO - _do_upsert_edge:query: - MATCH (source:`THE GATHERING`) - WITH source - MATCH (target:`THE SPIRIT`) - MERGE (source)-[r:DIRECTED]->(target) - SET r += $properties - RETURN r - :result:None -2024-10-30 05:12:40,613 - lightrag - INFO - _check_edge_existence:query:MATCH (a:`CHRISTMAS`)-[r]-(b:`THE LIGHTHOUSE`) RETURN COUNT(r) > 0 AS edgeExists:result:False -2024-10-30 05:12:40,780 - lightrag - INFO - _check_node_exists:query:MATCH (n:`CHRISTMAS`) RETURN count(n) > 0 AS node_exists:result:True -2024-10-30 05:12:40,949 - lightrag - INFO - _check_node_exists:query:MATCH (n:`THE LIGHTHOUSE`) RETURN count(n) > 0 AS node_exists:result:True -2024-10-30 05:12:41,129 - lightrag - INFO - _do_upsert_edge:query: - MATCH (source:`CHRISTMAS`) - WITH source - MATCH (target:`THE LIGHTHOUSE`) - MERGE (source)-[r:DIRECTED]->(target) - SET r += $properties - RETURN r - :result:None -2024-10-30 05:12:41,308 - lightrag - INFO - _check_edge_existence:query:MATCH (a:`CHRISTMAS`)-[r]-(b:`THE SHIP`) RETURN COUNT(r) > 0 AS edgeExists:result:False -2024-10-30 05:12:41,470 - lightrag - INFO - _check_node_exists:query:MATCH (n:`CHRISTMAS`) RETURN count(n) > 0 AS node_exists:result:True -2024-10-30 05:12:41,641 - lightrag - INFO - _check_node_exists:query:MATCH (n:`THE SHIP`) RETURN count(n) > 0 AS node_exists:result:True -2024-10-30 05:12:41,826 - lightrag - INFO - _do_upsert_edge:query: - MATCH (source:`CHRISTMAS`) - WITH source - MATCH (target:`THE SHIP`) - MERGE (source)-[r:DIRECTED]->(target) - SET r += $properties - RETURN r - :result:None -2024-10-30 05:12:42,014 - lightrag - INFO - _check_edge_existence:query:MATCH (a:`SCROOGE`)-[r]-(b:`THE LAMPLIGHTER`) RETURN COUNT(r) > 0 AS edgeExists:result:False -2024-10-30 05:12:42,167 - lightrag - INFO - _check_node_exists:query:MATCH (n:`SCROOGE`) RETURN count(n) > 0 AS node_exists:result:True -2024-10-30 05:12:42,343 - lightrag - INFO - _check_node_exists:query:MATCH (n:`THE LAMPLIGHTER`) RETURN count(n) > 0 AS node_exists:result:True -2024-10-30 05:12:42,526 - lightrag - INFO - _do_upsert_edge:query: - MATCH (source:`SCROOGE`) - WITH source - MATCH (target:`THE LAMPLIGHTER`) - MERGE (source)-[r:DIRECTED]->(target) - SET r += $properties - RETURN r - :result:None -2024-10-30 05:12:42,707 - lightrag - INFO - _check_edge_existence:query:MATCH (a:`THE HUT`)-[r]-(b:`THE OLD MAN`) RETURN COUNT(r) > 0 AS edgeExists:result:False -2024-10-30 05:12:42,880 - lightrag - INFO - _check_node_exists:query:MATCH (n:`THE HUT`) RETURN count(n) > 0 AS node_exists:result:True -2024-10-30 05:12:43,057 - lightrag - INFO - _check_node_exists:query:MATCH (n:`THE OLD MAN`) RETURN count(n) > 0 AS node_exists:result:True -2024-10-30 05:12:43,245 - lightrag - INFO - _do_upsert_edge:query: - MATCH (source:`THE HUT`) - WITH source - MATCH (target:`THE OLD MAN`) - MERGE (source)-[r:DIRECTED]->(target) - SET r += $properties - RETURN r - :result:None -2024-10-30 05:12:43,422 - lightrag - INFO - _check_edge_existence:query:MATCH (a:`THE HUT`)-[r]-(b:`THE MINERS`) RETURN COUNT(r) > 0 AS edgeExists:result:False -2024-10-30 05:12:43,589 - lightrag - INFO - _check_node_exists:query:MATCH (n:`THE HUT`) RETURN count(n) > 0 AS node_exists:result:True -2024-10-30 05:12:43,762 - lightrag - INFO - _check_node_exists:query:MATCH (n:`THE MINERS`) RETURN count(n) > 0 AS node_exists:result:True -2024-10-30 05:12:43,951 - lightrag - INFO - _do_upsert_edge:query: - MATCH (source:`THE HUT`) - WITH source - MATCH (target:`THE MINERS`) - MERGE (source)-[r:DIRECTED]->(target) - SET r += $properties - RETURN r - :result:None -2024-10-30 05:12:44,135 - lightrag - INFO - _check_edge_existence:query:MATCH (a:`THE OFFICERS`)-[r]-(b:`THE SHIP`) RETURN COUNT(r) > 0 AS edgeExists:result:False -2024-10-30 05:12:44,300 - lightrag - INFO - _check_node_exists:query:MATCH (n:`THE OFFICERS`) RETURN count(n) > 0 AS node_exists:result:True -2024-10-30 05:12:44,478 - lightrag - INFO - _check_node_exists:query:MATCH (n:`THE SHIP`) RETURN count(n) > 0 AS node_exists:result:True -2024-10-30 05:12:44,661 - lightrag - INFO - _do_upsert_edge:query: - MATCH (source:`THE OFFICERS`) - WITH source - MATCH (target:`THE SHIP`) - MERGE (source)-[r:DIRECTED]->(target) - SET r += $properties - RETURN r - :result:None -2024-10-30 05:12:44,841 - lightrag - INFO - _check_edge_existence:query:MATCH (a:`THE LIGHTHOUSE`)-[r]-(b:`THE WAVE`) RETURN COUNT(r) > 0 AS edgeExists:result:False -2024-10-30 05:12:45,016 - lightrag - INFO - _check_node_exists:query:MATCH (n:`THE LIGHTHOUSE`) RETURN count(n) > 0 AS node_exists:result:True -2024-10-30 05:12:45,191 - lightrag - INFO - _check_node_exists:query:MATCH (n:`THE WAVE`) RETURN count(n) > 0 AS node_exists:result:True -2024-10-30 05:12:45,371 - lightrag - INFO - _do_upsert_edge:query: - MATCH (source:`THE LIGHTHOUSE`) - WITH source - MATCH (target:`THE WAVE`) - MERGE (source)-[r:DIRECTED]->(target) - SET r += $properties - RETURN r - :result:None -2024-10-30 05:12:45,556 - lightrag - INFO - _check_edge_existence:query:MATCH (a:`STORM-BIRDS`)-[r]-(b:`THE LIGHTHOUSE`) RETURN COUNT(r) > 0 AS edgeExists:result:False -2024-10-30 05:12:45,730 - lightrag - INFO - _check_node_exists:query:MATCH (n:`STORM-BIRDS`) RETURN count(n) > 0 AS node_exists:result:True -2024-10-30 05:12:45,903 - lightrag - INFO - _check_node_exists:query:MATCH (n:`THE LIGHTHOUSE`) RETURN count(n) > 0 AS node_exists:result:True -2024-10-30 05:12:46,088 - lightrag - INFO - _do_upsert_edge:query: - MATCH (source:`STORM-BIRDS`) - WITH source - MATCH (target:`THE LIGHTHOUSE`) - MERGE (source)-[r:DIRECTED]->(target) - SET r += $properties - RETURN r - :result:None -2024-10-30 05:12:46,268 - lightrag - INFO - _check_edge_existence:query:MATCH (a:`SCROOGE`)-[r]-(b:`SCROOGE'S NIECE`) RETURN COUNT(r) > 0 AS edgeExists:result:True -2024-10-30 05:12:46,402 - lightrag - INFO - get_edge:query: - MATCH (source:`SCROOGE`)-[r]-(target:`SCROOGE'S NIECE`) - RETURN r - :result:, ) type='DIRECTED' properties={'keywords': '"family bonds, celebration""ideological conflict, family dynamics"', 'description': '"Scrooge\'s Niece expresses indignation towards Scrooge\'s belief that Christmas is a humbug, demonstrating her strong opinions against his views.""Scrooge\'s niece embraces the joyful atmosphere of the celebration, engaging with family and inviting good-natured fun."', 'weight': 15.0, 'source_id': 'chunk-773d0df1dd25c356f7b771d780583e09chunk-43c9bee23adfa77aa9dedd22401bba7d'}> -2024-10-30 05:12:46,541 - lightrag - INFO - _check_edge_existence:query:MATCH (a:`SCROOGE'S NEPHEW`)-[r]-(b:`SCROOGE'S NIECE`) RETURN COUNT(r) > 0 AS edgeExists:result:True -2024-10-30 05:12:46,676 - lightrag - INFO - get_edge:query: - MATCH (source:`SCROOGE'S NEPHEW`)-[r]-(target:`SCROOGE'S NIECE`) - RETURN r - :result:, ) type='DIRECTED' properties={'keywords': '"family interaction, playful rivalry""shared humor, family bonding"', 'description': '"Scrooge\'s Nephew and Scrooge\'s Niece share a humorous dynamic, both laughing and contrasting with Scrooge\'s grim outlook.""Scrooge\'s nephew and niece engage in playful banter and competition during the games, enhancing their familial bond."', 'weight': 15.0, 'source_id': 'chunk-773d0df1dd25c356f7b771d780583e09chunk-43c9bee23adfa77aa9dedd22401bba7d'}> -2024-10-30 05:12:46,815 - lightrag - INFO - _check_edge_existence:query:MATCH (a:`SCROOGE'S NIECE`)-[r]-(b:`TOPPER`) RETURN COUNT(r) > 0 AS edgeExists:result:True -2024-10-30 05:12:46,947 - lightrag - INFO - get_edge:query: - MATCH (source:`SCROOGE'S NIECE`)-[r]-(target:`TOPPER`) - RETURN r - :result:, ) type='DIRECTED' properties={'keywords': '"romantic interest, social dynamics"', 'description': '"Topper shows interest in Scrooge\'s Niece, indicating a budding romantic interest during the family gathering."', 'weight': 6.0, 'source_id': 'chunk-773d0df1dd25c356f7b771d780583e09'}> -2024-10-30 05:12:47,087 - lightrag - INFO - _check_edge_existence:query:MATCH (a:`SCROOGE'S NIECE`)-[r]-(b:`SCROOGE'S NIECE'S SISTERS`) RETURN COUNT(r) > 0 AS edgeExists:result:False -2024-10-30 05:12:47,260 - lightrag - INFO - _check_node_exists:query:MATCH (n:`SCROOGE'S NIECE`) RETURN count(n) > 0 AS node_exists:result:True -2024-10-30 05:12:47,427 - lightrag - INFO - _check_node_exists:query:MATCH (n:`SCROOGE'S NIECE'S SISTERS`) RETURN count(n) > 0 AS node_exists:result:True -2024-10-30 05:12:47,604 - lightrag - INFO - _do_upsert_edge:query: - MATCH (source:`SCROOGE'S NIECE`) - WITH source - MATCH (target:`SCROOGE'S NIECE'S SISTERS`) - MERGE (source)-[r:DIRECTED]->(target) - SET r += $properties - RETURN r - :result:None -2024-10-30 05:12:47,784 - lightrag - INFO - _check_edge_existence:query:MATCH (a:`DINNER`)-[r]-(b:`SCROOGE'S NEPHEW`) RETURN COUNT(r) > 0 AS edgeExists:result:False -2024-10-30 05:12:47,956 - lightrag - INFO - _check_node_exists:query:MATCH (n:`DINNER`) RETURN count(n) > 0 AS node_exists:result:True -2024-10-30 05:12:48,131 - lightrag - INFO - _check_node_exists:query:MATCH (n:`SCROOGE'S NEPHEW`) RETURN count(n) > 0 AS node_exists:result:True -2024-10-30 05:12:48,313 - lightrag - INFO - _do_upsert_edge:query: - MATCH (source:`DINNER`) - WITH source - MATCH (target:`SCROOGE'S NEPHEW`) - MERGE (source)-[r:DIRECTED]->(target) - SET r += $properties - RETURN r - :result:None -2024-10-30 05:12:48,501 - lightrag - INFO - _check_edge_existence:query:MATCH (a:`SCROOGE'S NEPHEW`)-[r]-(b:`TOPPER`) RETURN COUNT(r) > 0 AS edgeExists:result:False -2024-10-30 05:12:48,675 - lightrag - INFO - _check_node_exists:query:MATCH (n:`SCROOGE'S NEPHEW`) RETURN count(n) > 0 AS node_exists:result:True -2024-10-30 05:12:48,843 - lightrag - INFO - _check_node_exists:query:MATCH (n:`TOPPER`) RETURN count(n) > 0 AS node_exists:result:True -2024-10-30 05:12:49,031 - lightrag - INFO - _do_upsert_edge:query: - MATCH (source:`SCROOGE'S NEPHEW`) - WITH source - MATCH (target:`TOPPER`) - MERGE (source)-[r:DIRECTED]->(target) - SET r += $properties - RETURN r - :result:None -2024-10-30 05:12:49,218 - lightrag - INFO - _check_edge_existence:query:MATCH (a:`SCROOGE`)-[r]-(b:`TOPPER`) RETURN COUNT(r) > 0 AS edgeExists:result:True -2024-10-30 05:12:49,354 - lightrag - INFO - get_edge:query: - MATCH (source:`SCROOGE`)-[r]-(target:`TOPPER`) - RETURN r - :result:, ) type='DIRECTED' properties={'keywords': '"observation, merriment"', 'description': '"Scrooge observes Topper\'s antics and expressions of joy during the games, revealing a reflection on human nature and merriment."', 'weight': 6.0, 'source_id': 'chunk-43c9bee23adfa77aa9dedd22401bba7d'}> -2024-10-30 05:12:49,496 - lightrag - INFO - _check_edge_existence:query:MATCH (a:`CHRISTMAS HOLIDAYS`)-[r]-(b:`SCROOGE`) RETURN COUNT(r) > 0 AS edgeExists:result:False -2024-10-30 05:12:49,660 - lightrag - INFO - _check_node_exists:query:MATCH (n:`CHRISTMAS HOLIDAYS`) RETURN count(n) > 0 AS node_exists:result:True -2024-10-30 05:12:49,818 - lightrag - INFO - _check_node_exists:query:MATCH (n:`SCROOGE`) RETURN count(n) > 0 AS node_exists:result:True -2024-10-30 05:12:50,007 - lightrag - INFO - _do_upsert_edge:query: - MATCH (source:`CHRISTMAS HOLIDAYS`) - WITH source - MATCH (target:`SCROOGE`) - MERGE (source)-[r:DIRECTED]->(target) - SET r += $properties - RETURN r - :result:None -2024-10-30 05:12:50,193 - lightrag - INFO - _check_edge_existence:query:MATCH (a:`IGNORANCE`)-[r]-(b:`SPIRIT`) RETURN COUNT(r) > 0 AS edgeExists:result:False -2024-10-30 05:12:50,362 - lightrag - INFO - _check_node_exists:query:MATCH (n:`IGNORANCE`) RETURN count(n) > 0 AS node_exists:result:True -2024-10-30 05:12:50,542 - lightrag - INFO - _check_node_exists:query:MATCH (n:`SPIRIT`) RETURN count(n) > 0 AS node_exists:result:True -2024-10-30 05:12:50,724 - lightrag - INFO - _do_upsert_edge:query: - MATCH (source:`IGNORANCE`) - WITH source - MATCH (target:`SPIRIT`) - MERGE (source)-[r:DIRECTED]->(target) - SET r += $properties - RETURN r - :result:None -2024-10-30 05:12:50,903 - lightrag - INFO - _check_edge_existence:query:MATCH (a:`SPIRIT`)-[r]-(b:`WANT`) RETURN COUNT(r) > 0 AS edgeExists:result:False -2024-10-30 05:12:51,072 - lightrag - INFO - _check_node_exists:query:MATCH (n:`SPIRIT`) RETURN count(n) > 0 AS node_exists:result:True -2024-10-30 05:12:51,250 - lightrag - INFO - _check_node_exists:query:MATCH (n:`WANT`) RETURN count(n) > 0 AS node_exists:result:True -2024-10-30 05:12:51,434 - lightrag - INFO - _do_upsert_edge:query: - MATCH (source:`SPIRIT`) - WITH source - MATCH (target:`WANT`) - MERGE (source)-[r:DIRECTED]->(target) - SET r += $properties - RETURN r - :result:None -2024-10-30 05:12:51,615 - lightrag - INFO - _check_edge_existence:query:MATCH (a:`CITY`)-[r]-(b:`SPIRIT`) RETURN COUNT(r) > 0 AS edgeExists:result:False -2024-10-30 05:12:51,788 - lightrag - INFO - _check_node_exists:query:MATCH (n:`CITY`) RETURN count(n) > 0 AS node_exists:result:True -2024-10-30 05:12:51,949 - lightrag - INFO - _check_node_exists:query:MATCH (n:`SPIRIT`) RETURN count(n) > 0 AS node_exists:result:True -2024-10-30 05:12:52,130 - lightrag - INFO - _do_upsert_edge:query: - MATCH (source:`CITY`) - WITH source - MATCH (target:`SPIRIT`) - MERGE (source)-[r:DIRECTED]->(target) - SET r += $properties - RETURN r - :result:None -2024-10-30 05:12:52,312 - lightrag - INFO - _check_edge_existence:query:MATCH (a:`JACOB`)-[r]-(b:`SCROOGE`) RETURN COUNT(r) > 0 AS edgeExists:result:True -2024-10-30 05:12:52,443 - lightrag - INFO - get_edge:query: - MATCH (source:`JACOB`)-[r]-(target:`SCROOGE`) - RETURN r - :result:, ) type='DIRECTED' properties={'keywords': '"reflection, past relationship"', 'description': '"Scrooge reflects on his past relationship with Jacob, influenced by feelings of guilt and loss after Jacob\'s death."', 'weight': 8.0, 'source_id': 'chunk-f1a4fbcf1ed86864b9bfd5e8dba4c683'}> -2024-10-30 05:12:52,585 - lightrag - INFO - _check_edge_existence:query:MATCH (a:`THE LOW-BROWED SHOP`)-[r]-(b:`THE TOWN`) RETURN COUNT(r) > 0 AS edgeExists:result:False -2024-10-30 05:12:52,755 - lightrag - INFO - _check_node_exists:query:MATCH (n:`THE LOW-BROWED SHOP`) RETURN count(n) > 0 AS node_exists:result:True -2024-10-30 05:12:52,924 - lightrag - INFO - _check_node_exists:query:MATCH (n:`THE TOWN`) RETURN count(n) > 0 AS node_exists:result:True -2024-10-30 05:12:53,106 - lightrag - INFO - _do_upsert_edge:query: - MATCH (source:`THE LOW-BROWED SHOP`) - WITH source - MATCH (target:`THE TOWN`) - MERGE (source)-[r:DIRECTED]->(target) - SET r += $properties - RETURN r - :result:None -2024-10-30 05:12:53,286 - lightrag - INFO - _check_edge_existence:query:MATCH (a:`RED-FACED GENTLEMAN`)-[r]-(b:`SCROOGE`) RETURN COUNT(r) > 0 AS edgeExists:result:False -2024-10-30 05:12:53,460 - lightrag - INFO - _check_node_exists:query:MATCH (n:`RED-FACED GENTLEMAN`) RETURN count(n) > 0 AS node_exists:result:True -2024-10-30 05:12:53,619 - lightrag - INFO - _check_node_exists:query:MATCH (n:`SCROOGE`) RETURN count(n) > 0 AS node_exists:result:True -2024-10-30 05:12:53,805 - lightrag - INFO - _do_upsert_edge:query: - MATCH (source:`RED-FACED GENTLEMAN`) - WITH source - MATCH (target:`SCROOGE`) - MERGE (source)-[r:DIRECTED]->(target) - SET r += $properties - RETURN r - :result:None -2024-10-30 05:12:53,986 - lightrag - INFO - _check_edge_existence:query:MATCH (a:`GENTLEMAN WITH THE EXCRESCENCE`)-[r]-(b:`RED-FACED GENTLEMAN`) RETURN COUNT(r) > 0 AS edgeExists:result:False -2024-10-30 05:12:54,153 - lightrag - INFO - _check_node_exists:query:MATCH (n:`GENTLEMAN WITH THE EXCRESCENCE`) RETURN count(n) > 0 AS node_exists:result:True -2024-10-30 05:12:54,330 - lightrag - INFO - _check_node_exists:query:MATCH (n:`RED-FACED GENTLEMAN`) RETURN count(n) > 0 AS node_exists:result:True -2024-10-30 05:12:54,516 - lightrag - INFO - _do_upsert_edge:query: - MATCH (source:`GENTLEMAN WITH THE EXCRESCENCE`) - WITH source - MATCH (target:`RED-FACED GENTLEMAN`) - MERGE (source)-[r:DIRECTED]->(target) - SET r += $properties - RETURN r - :result:None -2024-10-30 05:12:54,701 - lightrag - INFO - _check_edge_existence:query:MATCH (a:`SCROOGE`)-[r]-(b:`THE PHANTOM`) RETURN COUNT(r) > 0 AS edgeExists:result:True -2024-10-30 05:12:54,835 - lightrag - INFO - get_edge:query: - MATCH (source:`SCROOGE`)-[r]-(target:`THE PHANTOM`) - RETURN r - :result:, ) type='DIRECTED' properties={'keywords': '"guidance, self-reflection"', 'description': '"Scrooge interacts with the Phantom, which guides him through reflections on his life and future, emphasizing his journey of change."', 'weight': 9.0, 'source_id': 'chunk-f1a4fbcf1ed86864b9bfd5e8dba4c683'}> -2024-10-30 05:12:54,975 - lightrag - INFO - _check_edge_existence:query:MATCH (a:`THE PEOPLE`)-[r]-(b:`THE QUARTER`) RETURN COUNT(r) > 0 AS edgeExists:result:False -2024-10-30 05:12:55,148 - lightrag - INFO - _check_node_exists:query:MATCH (n:`THE PEOPLE`) RETURN count(n) > 0 AS node_exists:result:True -2024-10-30 05:12:55,322 - lightrag - INFO - _check_node_exists:query:MATCH (n:`THE QUARTER`) RETURN count(n) > 0 AS node_exists:result:True -2024-10-30 05:12:55,502 - lightrag - INFO - _do_upsert_edge:query: - MATCH (source:`THE PEOPLE`) - WITH source - MATCH (target:`THE QUARTER`) - MERGE (source)-[r:DIRECTED]->(target) - SET r += $properties - RETURN r - :result:None -2024-10-30 05:12:55,680 - lightrag - INFO - _check_edge_existence:query:MATCH (a:`THE LOW-BROWED SHOP`)-[r]-(b:`THE PEOPLE`) RETURN COUNT(r) > 0 AS edgeExists:result:False -2024-10-30 05:12:55,850 - lightrag - INFO - _check_node_exists:query:MATCH (n:`THE LOW-BROWED SHOP`) RETURN count(n) > 0 AS node_exists:result:True -2024-10-30 05:12:56,019 - lightrag - INFO - _check_node_exists:query:MATCH (n:`THE PEOPLE`) RETURN count(n) > 0 AS node_exists:result:True -2024-10-30 05:12:56,205 - lightrag - INFO - _do_upsert_edge:query: - MATCH (source:`THE LOW-BROWED SHOP`) - WITH source - MATCH (target:`THE PEOPLE`) - MERGE (source)-[r:DIRECTED]->(target) - SET r += $properties - RETURN r - :result:None -2024-10-30 05:12:56,391 - lightrag - INFO - _check_edge_existence:query:MATCH (a:`OLD SCRATCH`)-[r]-(b:`THE FUNERAL`) RETURN COUNT(r) > 0 AS edgeExists:result:False -2024-10-30 05:12:56,567 - lightrag - INFO - _check_node_exists:query:MATCH (n:`OLD SCRATCH`) RETURN count(n) > 0 AS node_exists:result:True -2024-10-30 05:12:56,735 - lightrag - INFO - _check_node_exists:query:MATCH (n:`THE FUNERAL`) RETURN count(n) > 0 AS node_exists:result:True -2024-10-30 05:12:56,941 - lightrag - INFO - _do_upsert_edge:query: - MATCH (source:`OLD SCRATCH`) - WITH source - MATCH (target:`THE FUNERAL`) - MERGE (source)-[r:DIRECTED]->(target) - SET r += $properties - RETURN r - :result:None -2024-10-30 05:12:57,183 - lightrag - INFO - _check_edge_existence:query:MATCH (a:`MRS. DILBER`)-[r]-(b:`OLD JOE`) RETURN COUNT(r) > 0 AS edgeExists:result:True -2024-10-30 05:12:57,323 - lightrag - INFO - get_edge:query: - MATCH (source:`MRS. DILBER`)-[r]-(target:`OLD JOE`) - RETURN r - :result:, ) type='DIRECTED' properties={'keywords': '"business interaction, appraisal"', 'description': '"Old Joe assesses the belongings of Mrs. Dilber, reinforcing his role as an appraiser of stolen goods and demonstrating a tendency to be generous towards women."', 'weight': 6.0, 'source_id': 'chunk-60fc063c79fc0d4acc91a57e79de04dc'}> -2024-10-30 05:12:57,467 - lightrag - INFO - _check_edge_existence:query:MATCH (a:`MRS. DILBER`)-[r]-(b:`THE WOMAN`) RETURN COUNT(r) > 0 AS edgeExists:result:True -2024-10-30 05:12:57,604 - lightrag - INFO - get_edge:query: - MATCH (source:`MRS. DILBER`)-[r]-(target:`THE WOMAN`) - RETURN r - :result:, ) type='DIRECTED' properties={'keywords': '"moral discussion, camaraderie"', 'description': '"Mrs. Dilber and The Woman share a conversational dynamic that touches on the moral implications of their actions, creating a camaraderie as they discuss the deceased."', 'weight': 5.0, 'source_id': 'chunk-60fc063c79fc0d4acc91a57e79de04dc'}> -2024-10-30 05:12:57,742 - lightrag - INFO - _check_edge_existence:query:MATCH (a:`OLD JOE`)-[r]-(b:`THE WOMAN`) RETURN COUNT(r) > 0 AS edgeExists:result:True -2024-10-30 05:12:57,872 - lightrag - INFO - get_edge:query: - MATCH (source:`OLD JOE`)-[r]-(target:`THE WOMAN`) - RETURN r - :result:, ) type='DIRECTED' properties={'keywords': '"business interaction, appraisal"', 'description': '"Old Joe interacts with The Woman as she encourages him to evaluate her stolen bundle, indicating a business-like relationship based on appraisal and exchange."', 'weight': 7.0, 'source_id': 'chunk-60fc063c79fc0d4acc91a57e79de04dc'}> -2024-10-30 05:12:58,012 - lightrag - INFO - _check_edge_existence:query:MATCH (a:`THE MAN IN FADED BLACK`)-[r]-(b:`THE WOMAN`) RETURN COUNT(r) > 0 AS edgeExists:result:False -2024-10-30 05:12:58,189 - lightrag - INFO - _check_node_exists:query:MATCH (n:`THE MAN IN FADED BLACK`) RETURN count(n) > 0 AS node_exists:result:True -2024-10-30 05:12:58,361 - lightrag - INFO - _check_node_exists:query:MATCH (n:`THE WOMAN`) RETURN count(n) > 0 AS node_exists:result:True -2024-10-30 05:12:58,547 - lightrag - INFO - _do_upsert_edge:query: - MATCH (source:`THE MAN IN FADED BLACK`) - WITH source - MATCH (target:`THE WOMAN`) - MERGE (source)-[r:DIRECTED]->(target) - SET r += $properties - RETURN r - :result:None -2024-10-30 05:12:58,726 - lightrag - INFO - _check_edge_existence:query:MATCH (a:`OLD JOE`)-[r]-(b:`THE GATHERING`) RETURN COUNT(r) > 0 AS edgeExists:result:False -2024-10-30 05:12:58,891 - lightrag - INFO - _check_node_exists:query:MATCH (n:`OLD JOE`) RETURN count(n) > 0 AS node_exists:result:True -2024-10-30 05:12:59,059 - lightrag - INFO - _check_node_exists:query:MATCH (n:`THE GATHERING`) RETURN count(n) > 0 AS node_exists:result:True -2024-10-30 05:12:59,243 - lightrag - INFO - _do_upsert_edge:query: - MATCH (source:`OLD JOE`) - WITH source - MATCH (target:`THE GATHERING`) - MERGE (source)-[r:DIRECTED]->(target) - SET r += $properties - RETURN r - :result:None -2024-10-30 05:12:59,425 - lightrag - INFO - _check_edge_existence:query:MATCH (a:`SCROOGE`)-[r]-(b:`THE DECEASED MAN`) RETURN COUNT(r) > 0 AS edgeExists:result:False -2024-10-30 05:12:59,582 - lightrag - INFO - _check_node_exists:query:MATCH (n:`SCROOGE`) RETURN count(n) > 0 AS node_exists:result:True -2024-10-30 05:12:59,754 - lightrag - INFO - _check_node_exists:query:MATCH (n:`THE DECEASED MAN`) RETURN count(n) > 0 AS node_exists:result:True -2024-10-30 05:12:59,935 - lightrag - INFO - _do_upsert_edge:query: - MATCH (source:`SCROOGE`) - WITH source - MATCH (target:`THE DECEASED MAN`) - MERGE (source)-[r:DIRECTED]->(target) - SET r += $properties - RETURN r - :result:None -2024-10-30 05:13:00,121 - lightrag - INFO - _check_edge_existence:query:MATCH (a:`JOE`)-[r]-(b:`SCROOGE`) RETURN COUNT(r) > 0 AS edgeExists:result:False -2024-10-30 05:13:00,305 - lightrag - INFO - _check_node_exists:query:MATCH (n:`JOE`) RETURN count(n) > 0 AS node_exists:result:True -2024-10-30 05:13:00,469 - lightrag - INFO - _check_node_exists:query:MATCH (n:`SCROOGE`) RETURN count(n) > 0 AS node_exists:result:True -2024-10-30 05:13:00,652 - lightrag - INFO - _do_upsert_edge:query: - MATCH (source:`JOE`) - WITH source - MATCH (target:`SCROOGE`) - MERGE (source)-[r:DIRECTED]->(target) - SET r += $properties - RETURN r - :result:None -2024-10-30 05:13:00,829 - lightrag - INFO - _check_edge_existence:query:MATCH (a:`DEATH`)-[r]-(b:`THE BED`) RETURN COUNT(r) > 0 AS edgeExists:result:False -2024-10-30 05:13:00,999 - lightrag - INFO - _check_node_exists:query:MATCH (n:`DEATH`) RETURN count(n) > 0 AS node_exists:result:True -2024-10-30 05:13:01,176 - lightrag - INFO - _check_node_exists:query:MATCH (n:`THE BED`) RETURN count(n) > 0 AS node_exists:result:True -2024-10-30 05:13:01,361 - lightrag - INFO - _do_upsert_edge:query: - MATCH (source:`DEATH`) - WITH source - MATCH (target:`THE BED`) - MERGE (source)-[r:DIRECTED]->(target) - SET r += $properties - RETURN r - :result:None -2024-10-30 05:13:01,542 - lightrag - INFO - _check_edge_existence:query:MATCH (a:`THE BUNDLE`)-[r]-(b:`THE DECEASED MAN`) RETURN COUNT(r) > 0 AS edgeExists:result:False -2024-10-30 05:13:01,708 - lightrag - INFO - _check_node_exists:query:MATCH (n:`THE BUNDLE`) RETURN count(n) > 0 AS node_exists:result:True -2024-10-30 05:13:01,880 - lightrag - INFO - _check_node_exists:query:MATCH (n:`THE DECEASED MAN`) RETURN count(n) > 0 AS node_exists:result:True -2024-10-30 05:13:02,067 - lightrag - INFO - _do_upsert_edge:query: - MATCH (source:`THE BUNDLE`) - WITH source - MATCH (target:`THE DECEASED MAN`) - MERGE (source)-[r:DIRECTED]->(target) - SET r += $properties - RETURN r - :result:None -2024-10-30 05:13:02,250 - lightrag - INFO - _check_edge_existence:query:MATCH (a:`THE BLANKETS`)-[r]-(b:`THE CORPSE`) RETURN COUNT(r) > 0 AS edgeExists:result:False -2024-10-30 05:13:02,418 - lightrag - INFO - _check_node_exists:query:MATCH (n:`THE BLANKETS`) RETURN count(n) > 0 AS node_exists:result:True -2024-10-30 05:13:02,588 - lightrag - INFO - _check_node_exists:query:MATCH (n:`THE CORPSE`) RETURN count(n) > 0 AS node_exists:result:True -2024-10-30 05:13:02,766 - lightrag - INFO - _do_upsert_edge:query: - MATCH (source:`THE BLANKETS`) - WITH source - MATCH (target:`THE CORPSE`) - MERGE (source)-[r:DIRECTED]->(target) - SET r += $properties - RETURN r - :result:None -2024-10-30 05:13:02,945 - lightrag - INFO - _check_edge_existence:query:MATCH (a:`THE BLANKET`)-[r]-(b:`THE OIL`) RETURN COUNT(r) > 0 AS edgeExists:result:False -2024-10-30 05:13:03,122 - lightrag - INFO - _check_node_exists:query:MATCH (n:`THE BLANKET`) RETURN count(n) > 0 AS node_exists:result:False -2024-10-30 05:13:03,298 - lightrag - INFO - _do_upsert:query: - MERGE (n:`THE BLANKET`) - SET n += $properties - RETURN n - :result:{'entity_type': '"UNKNOWN"', 'description': '"The Oil’s presence suggests a practical yet insensitive attitude towards the care of The Blanket and the deceased."', 'source_id': 'chunk-e1f29eeadc1d8ab46dc8a0bbd3c56b64'} -2024-10-30 05:13:03,477 - lightrag - INFO - _check_node_exists:query:MATCH (n:`THE OIL`) RETURN count(n) > 0 AS node_exists:result:True -2024-10-30 05:13:03,660 - lightrag - INFO - _do_upsert_edge:query: - MATCH (source:`THE BLANKET`) - WITH source - MATCH (target:`THE OIL`) - MERGE (source)-[r:DIRECTED]->(target) - SET r += $properties - RETURN r - :result:None -2024-10-30 05:13:03,838 - lightrag - INFO - _check_edge_existence:query:MATCH (a:`SCROOGE`)-[r]-(b:`THE CORPSE`) RETURN COUNT(r) > 0 AS edgeExists:result:False -2024-10-30 05:13:03,992 - lightrag - INFO - _check_node_exists:query:MATCH (n:`SCROOGE`) RETURN count(n) > 0 AS node_exists:result:True -2024-10-30 05:13:04,167 - lightrag - INFO - _check_node_exists:query:MATCH (n:`THE CORPSE`) RETURN count(n) > 0 AS node_exists:result:True -2024-10-30 05:13:04,353 - lightrag - INFO - _do_upsert_edge:query: - MATCH (source:`SCROOGE`) - WITH source - MATCH (target:`THE CORPSE`) - MERGE (source)-[r:DIRECTED]->(target) - SET r += $properties - RETURN r - :result:None -2024-10-30 05:13:04,537 - lightrag - INFO - _check_edge_existence:query:MATCH (a:`BOB CRATCHIT`)-[r]-(b:`CAROLINE`) RETURN COUNT(r) > 0 AS edgeExists:result:True -2024-10-30 05:13:04,672 - lightrag - INFO - get_edge:query: - MATCH (source:`BOB CRATCHIT`)-[r]-(target:`CAROLINE`) - RETURN r - :result:, ) type='DIRECTED' properties={'keywords': '"hope, financial strain"', 'description': '"Caroline expresses hope combined with anxiety regarding their financial situation, affecting her relationship with Bob Cratchit."', 'weight': 7.0, 'source_id': 'chunk-83ac129dc9b56f84c46760d153d68e93'}> -2024-10-30 05:13:04,812 - lightrag - INFO - _check_edge_existence:query:MATCH (a:`SPIRIT`)-[r]-(b:`THE EVENT OF DEATH`) RETURN COUNT(r) > 0 AS edgeExists:result:False -2024-10-30 05:13:04,973 - lightrag - INFO - _check_node_exists:query:MATCH (n:`SPIRIT`) RETURN count(n) > 0 AS node_exists:result:True -2024-10-30 05:13:05,147 - lightrag - INFO - _check_node_exists:query:MATCH (n:`THE EVENT OF DEATH`) RETURN count(n) > 0 AS node_exists:result:True -2024-10-30 05:13:05,331 - lightrag - INFO - _do_upsert_edge:query: - MATCH (source:`SPIRIT`) - WITH source - MATCH (target:`THE EVENT OF DEATH`) - MERGE (source)-[r:DIRECTED]->(target) - SET r += $properties - RETURN r - :result:None -2024-10-30 05:13:05,523 - lightrag - INFO - _check_edge_existence:query:MATCH (a:`SCROOGE`)-[r]-(b:`THE CRATCHIT HOUSE`) RETURN COUNT(r) > 0 AS edgeExists:result:False -2024-10-30 05:13:05,682 - lightrag - INFO - _check_node_exists:query:MATCH (n:`SCROOGE`) RETURN count(n) > 0 AS node_exists:result:True -2024-10-30 05:13:05,854 - lightrag - INFO - _check_node_exists:query:MATCH (n:`THE CRATCHIT HOUSE`) RETURN count(n) > 0 AS node_exists:result:True -2024-10-30 05:13:06,043 - lightrag - INFO - _do_upsert_edge:query: - MATCH (source:`SCROOGE`) - WITH source - MATCH (target:`THE CRATCHIT HOUSE`) - MERGE (source)-[r:DIRECTED]->(target) - SET r += $properties - RETURN r - :result:None -2024-10-30 05:13:06,227 - lightrag - INFO - _check_edge_existence:query:MATCH (a:`THE HUSBAND`)-[r]-(b:`THE MOTHER`) RETURN COUNT(r) > 0 AS edgeExists:result:False -2024-10-30 05:13:06,398 - lightrag - INFO - _check_node_exists:query:MATCH (n:`THE HUSBAND`) RETURN count(n) > 0 AS node_exists:result:True -2024-10-30 05:13:06,569 - lightrag - INFO - _check_node_exists:query:MATCH (n:`THE MOTHER`) RETURN count(n) > 0 AS node_exists:result:True -2024-10-30 05:13:06,751 - lightrag - INFO - _do_upsert_edge:query: - MATCH (source:`THE HUSBAND`) - WITH source - MATCH (target:`THE MOTHER`) - MERGE (source)-[r:DIRECTED]->(target) - SET r += $properties - RETURN r - :result:None -2024-10-30 05:13:06,937 - lightrag - INFO - _check_edge_existence:query:MATCH (a:`CAROLINE`)-[r]-(b:`THE HUSBAND`) RETURN COUNT(r) > 0 AS edgeExists:result:False -2024-10-30 05:13:07,109 - lightrag - INFO - _check_node_exists:query:MATCH (n:`CAROLINE`) RETURN count(n) > 0 AS node_exists:result:True -2024-10-30 05:13:07,274 - lightrag - INFO - _check_node_exists:query:MATCH (n:`THE HUSBAND`) RETURN count(n) > 0 AS node_exists:result:True -2024-10-30 05:13:07,459 - lightrag - INFO - _do_upsert_edge:query: - MATCH (source:`CAROLINE`) - WITH source - MATCH (target:`THE HUSBAND`) - MERGE (source)-[r:DIRECTED]->(target) - SET r += $properties - RETURN r - :result:None -2024-10-30 05:13:07,645 - lightrag - INFO - _check_edge_existence:query:MATCH (a:`PETER`)-[r]-(b:`THE CHILDREN`) RETURN COUNT(r) > 0 AS edgeExists:result:False -2024-10-30 05:13:07,811 - lightrag - INFO - _check_node_exists:query:MATCH (n:`PETER`) RETURN count(n) > 0 AS node_exists:result:True -2024-10-30 05:13:07,980 - lightrag - INFO - _check_node_exists:query:MATCH (n:`THE CHILDREN`) RETURN count(n) > 0 AS node_exists:result:True -2024-10-30 05:13:08,191 - lightrag - INFO - _do_upsert_edge:query: - MATCH (source:`PETER`) - WITH source - MATCH (target:`THE CHILDREN`) - MERGE (source)-[r:DIRECTED]->(target) - SET r += $properties - RETURN r - :result:None -2024-10-30 05:13:08,383 - lightrag - INFO - _check_edge_existence:query:MATCH (a:`THE CRATCHIT HOUSE`)-[r]-(b:`THE DEBT`) RETURN COUNT(r) > 0 AS edgeExists:result:False -2024-10-30 05:13:08,562 - lightrag - INFO - _check_node_exists:query:MATCH (n:`THE CRATCHIT HOUSE`) RETURN count(n) > 0 AS node_exists:result:True -2024-10-30 05:13:08,735 - lightrag - INFO - _check_node_exists:query:MATCH (n:`THE DEBT`) RETURN count(n) > 0 AS node_exists:result:True -2024-10-30 05:13:08,917 - lightrag - INFO - _do_upsert_edge:query: - MATCH (source:`THE CRATCHIT HOUSE`) - WITH source - MATCH (target:`THE DEBT`) - MERGE (source)-[r:DIRECTED]->(target) - SET r += $properties - RETURN r - :result:None -2024-10-30 05:13:09,107 - lightrag - INFO - _check_edge_existence:query:MATCH (a:`CAROLINE`)-[r]-(b:`HOPE`) RETURN COUNT(r) > 0 AS edgeExists:result:False -2024-10-30 05:13:09,290 - lightrag - INFO - _check_node_exists:query:MATCH (n:`CAROLINE`) RETURN count(n) > 0 AS node_exists:result:True -2024-10-30 05:13:09,465 - lightrag - INFO - _check_node_exists:query:MATCH (n:`HOPE`) RETURN count(n) > 0 AS node_exists:result:True -2024-10-30 05:13:09,652 - lightrag - INFO - _do_upsert_edge:query: - MATCH (source:`CAROLINE`) - WITH source - MATCH (target:`HOPE`) - MERGE (source)-[r:DIRECTED]->(target) - SET r += $properties - RETURN r - :result:None -2024-10-30 05:13:09,835 - lightrag - INFO - _check_edge_existence:query:MATCH (a:`BOB CRATCHIT`)-[r]-(b:`MR. SCROOGE'S NEPHEW`) RETURN COUNT(r) > 0 AS edgeExists:result:True -2024-10-30 05:13:09,968 - lightrag - INFO - get_edge:query: - MATCH (source:`BOB CRATCHIT`)-[r]-(target:`MR. SCROOGE'S NEPHEW`) - RETURN r - :result:, ) type='DIRECTED' properties={'keywords': '"kindness, support"', 'description': '"Bob Cratchit shares a positive interaction with Mr. Scrooge\'s Nephew, who expresses kindness and concern for his family."', 'weight': 7.0, 'source_id': 'chunk-1d4b58de5429cd1261370c231c8673e8'}> -2024-10-30 05:13:10,105 - lightrag - INFO - _check_edge_existence:query:MATCH (a:`BOB CRATCHIT`)-[r]-(b:`PETER`) RETURN COUNT(r) > 0 AS edgeExists:result:True -2024-10-30 05:13:10,241 - lightrag - INFO - get_edge:query: - MATCH (source:`BOB CRATCHIT`)-[r]-(target:`PETER`) - RETURN r - :result:, ) type='DIRECTED' properties={'keywords': '"family discussions, support"', 'description': '"Peter interacts with Bob Cratchit, showing the dynamics of a supportive family unit while discussing aspirations."', 'weight': 6.0, 'source_id': 'chunk-1d4b58de5429cd1261370c231c8673e8'}> -2024-10-30 05:13:10,383 - lightrag - INFO - _check_edge_existence:query:MATCH (a:`CHRISTMAS`)-[r]-(b:`TINY TIM`) RETURN COUNT(r) > 0 AS edgeExists:result:False -2024-10-30 05:13:10,549 - lightrag - INFO - _check_node_exists:query:MATCH (n:`CHRISTMAS`) RETURN count(n) > 0 AS node_exists:result:True -2024-10-30 05:13:10,724 - lightrag - INFO - _check_node_exists:query:MATCH (n:`TINY TIM`) RETURN count(n) > 0 AS node_exists:result:True -2024-10-30 05:13:10,905 - lightrag - INFO - _do_upsert_edge:query: - MATCH (source:`CHRISTMAS`) - WITH source - MATCH (target:`TINY TIM`) - MERGE (source)-[r:DIRECTED]->(target) - SET r += $properties - RETURN r - :result:None -2024-10-30 05:13:11,082 - lightrag - INFO - _check_edge_existence:query:MATCH (a:`SCROOGE`)-[r]-(b:`THE GHOST OF CHRISTMAS YET TO COME`) RETURN COUNT(r) > 0 AS edgeExists:result:True -2024-10-30 05:13:11,218 - lightrag - INFO - get_edge:query: - MATCH (source:`SCROOGE`)-[r]-(target:`THE GHOST OF CHRISTMAS YET TO COME`) - RETURN r - :result:, ) type='DIRECTED' properties={'keywords': '"consequences, change""guidance, self-confrontation"', 'description': '"The Ghost guides Scrooge to confront his potential future that threatens his existence.""The Ghost is critical in revealing the consequences of Scrooge\'s life choices, pushing for change."', 'weight': 19.0, 'source_id': 'chunk-91572b3cd42786ba4cb2f180ca25cbf4'}> -2024-10-30 05:13:11,360 - lightrag - INFO - _check_edge_existence:query:MATCH (a:`GRAVE`)-[r]-(b:`SCROOGE`) RETURN COUNT(r) > 0 AS edgeExists:result:False -2024-10-30 05:13:11,533 - lightrag - INFO - _check_node_exists:query:MATCH (n:`GRAVE`) RETURN count(n) > 0 AS node_exists:result:True -2024-10-30 05:13:11,689 - lightrag - INFO - _check_node_exists:query:MATCH (n:`SCROOGE`) RETURN count(n) > 0 AS node_exists:result:True -2024-10-30 05:13:11,868 - lightrag - INFO - _do_upsert_edge:query: - MATCH (source:`GRAVE`) - WITH source - MATCH (target:`SCROOGE`) - MERGE (source)-[r:DIRECTED]->(target) - SET r += $properties - RETURN r - :result:None -2024-10-30 05:13:12,050 - lightrag - INFO - _check_edge_existence:query:MATCH (a:`CHRISTMAS DAY`)-[r]-(b:`SCROOGE`) RETURN COUNT(r) > 0 AS edgeExists:result:True -2024-10-30 05:13:12,195 - lightrag - INFO - get_edge:query: - MATCH (source:`CHRISTMAS DAY`)-[r]-(target:`SCROOGE`) - RETURN r - :result:, ) type='DIRECTED' properties={'keywords': '"seasonal significance, renewal"', 'description': '"Scrooge\'s change in attitude and actions occur on Christmas Day, making it a pivotal event in his story."', 'weight': 9.0, 'source_id': 'chunk-90b95db5c53e4364a6bee36b7aa4d70f'}> -2024-10-30 05:13:12,380 - lightrag - INFO - _check_edge_existence:query:MATCH (a:`BOB CRATCHIT`)-[r]-(b:`THE POULTERER'S`) RETURN COUNT(r) > 0 AS edgeExists:result:False -2024-10-30 05:13:12,556 - lightrag - INFO - _check_node_exists:query:MATCH (n:`BOB CRATCHIT`) RETURN count(n) > 0 AS node_exists:result:True -2024-10-30 05:13:12,726 - lightrag - INFO - _check_node_exists:query:MATCH (n:`THE POULTERER'S`) RETURN count(n) > 0 AS node_exists:result:True -2024-10-30 05:13:12,908 - lightrag - INFO - _do_upsert_edge:query: - MATCH (source:`BOB CRATCHIT`) - WITH source - MATCH (target:`THE POULTERER'S`) - MERGE (source)-[r:DIRECTED]->(target) - SET r += $properties - RETURN r - :result:None -2024-10-30 05:13:13,091 - lightrag - INFO - _check_edge_existence:query:MATCH (a:`SCROOGE`)-[r]-(b:`THE GHOST OF CHRISTMAS PRESENT`) RETURN COUNT(r) > 0 AS edgeExists:result:True -2024-10-30 05:13:13,228 - lightrag - INFO - get_edge:query: - MATCH (source:`SCROOGE`)-[r]-(target:`THE GHOST OF CHRISTMAS PRESENT`) - RETURN r - :result:, ) type='DIRECTED' properties={'keywords': '"awareness, joy""supernatural guidance, social impact""transformation, guidance"', 'description': '"The Ghost of Christmas Present exposes Scrooge to the joy and generosity he has been missing.""The Ghost of Christmas Present observes Scrooge\'s transformation and emotional engagement with his memories of Christmas.""The Ghost of Christmas Present shows Scrooge the joy and importance of kindness during Christmas, impacting his perspective on social issues."', 'weight': 26.0, 'source_id': 'chunk-90b95db5c53e4364a6bee36b7aa4d70fchunk-43c9bee23adfa77aa9dedd22401bba7dchunk-b0f459f5af1c3a5e0b92cbe4ee48b77b'}> -2024-10-30 05:13:13,364 - lightrag - INFO - _check_edge_existence:query:MATCH (a:`SCROOGE`)-[r]-(b:`THE BOY`) RETURN COUNT(r) > 0 AS edgeExists:result:True -2024-10-30 05:13:13,501 - lightrag - INFO - get_edge:query: - MATCH (source:`SCROOGE`)-[r]-(target:`THE BOY`) - RETURN r - :result:, ) type='DIRECTED' properties={'keywords': '"generosity, kindness"', 'description': '"Scrooge interacts with The Boy to deliver the turkey, showing a newfound generosity and connection to others."', 'weight': 8.0, 'source_id': 'chunk-8f738cb25d60a7dab782162d9d0a25ed'}> -2024-10-30 05:13:13,640 - lightrag - INFO - _check_edge_existence:query:MATCH (a:`BOB CRATCHIT`)-[r]-(b:`THE CHRISTMAS DINNER`) RETURN COUNT(r) > 0 AS edgeExists:result:False -2024-10-30 05:13:13,811 - lightrag - INFO - _check_node_exists:query:MATCH (n:`BOB CRATCHIT`) RETURN count(n) > 0 AS node_exists:result:True -2024-10-30 05:13:13,982 - lightrag - INFO - _check_node_exists:query:MATCH (n:`THE CHRISTMAS DINNER`) RETURN count(n) > 0 AS node_exists:result:True -2024-10-30 05:13:14,164 - lightrag - INFO - _do_upsert_edge:query: - MATCH (source:`BOB CRATCHIT`) - WITH source - MATCH (target:`THE CHRISTMAS DINNER`) - MERGE (source)-[r:DIRECTED]->(target) - SET r += $properties - RETURN r - :result:None -2024-10-30 05:13:14,344 - lightrag - INFO - _check_edge_existence:query:MATCH (a:`SCROOGE`)-[r]-(b:`THE OLD GENTLEMAN`) RETURN COUNT(r) > 0 AS edgeExists:result:False -2024-10-30 05:13:14,505 - lightrag - INFO - _check_node_exists:query:MATCH (n:`SCROOGE`) RETURN count(n) > 0 AS node_exists:result:True -2024-10-30 05:13:14,683 - lightrag - INFO - _check_node_exists:query:MATCH (n:`THE OLD GENTLEMAN`) RETURN count(n) > 0 AS node_exists:result:True -2024-10-30 05:13:14,865 - lightrag - INFO - _do_upsert_edge:query: - MATCH (source:`SCROOGE`) - WITH source - MATCH (target:`THE OLD GENTLEMAN`) - MERGE (source)-[r:DIRECTED]->(target) - SET r += $properties - RETURN r - :result:None -2024-10-30 05:13:15,048 - lightrag - INFO - _check_edge_existence:query:MATCH (a:`BOB CRATCHIT`)-[r]-(b:`THE FAMILY`) RETURN COUNT(r) > 0 AS edgeExists:result:False -2024-10-30 05:13:15,206 - lightrag - INFO - _check_node_exists:query:MATCH (n:`BOB CRATCHIT`) RETURN count(n) > 0 AS node_exists:result:True -2024-10-30 05:13:15,382 - lightrag - INFO - _check_node_exists:query:MATCH (n:`THE FAMILY`) RETURN count(n) > 0 AS node_exists:result:True -2024-10-30 05:13:15,567 - lightrag - INFO - _do_upsert_edge:query: - MATCH (source:`BOB CRATCHIT`) - WITH source - MATCH (target:`THE FAMILY`) - MERGE (source)-[r:DIRECTED]->(target) - SET r += $properties - RETURN r - :result:None -2024-10-30 05:13:15,753 - lightrag - INFO - _check_edge_existence:query:MATCH (a:`BOB CRATCHIT`)-[r]-(b:`THE TANK`) RETURN COUNT(r) > 0 AS edgeExists:result:False -2024-10-30 05:13:15,912 - lightrag - INFO - _check_node_exists:query:MATCH (n:`BOB CRATCHIT`) RETURN count(n) > 0 AS node_exists:result:True -2024-10-30 05:13:16,084 - lightrag - INFO - _check_node_exists:query:MATCH (n:`THE TANK`) RETURN count(n) > 0 AS node_exists:result:True -2024-10-30 05:13:16,266 - lightrag - INFO - _do_upsert_edge:query: - MATCH (source:`BOB CRATCHIT`) - WITH source - MATCH (target:`THE TANK`) - MERGE (source)-[r:DIRECTED]->(target) - SET r += $properties - RETURN r - :result:None -2024-10-30 05:13:16,448 - lightrag - INFO - _check_edge_existence:query:MATCH (a:`SCROOGE`)-[r]-(b:`SMOKING BISHOP`) RETURN COUNT(r) > 0 AS edgeExists:result:False -2024-10-30 05:13:16,608 - lightrag - INFO - _check_node_exists:query:MATCH (n:`SCROOGE`) RETURN count(n) > 0 AS node_exists:result:True -2024-10-30 05:13:16,778 - lightrag - INFO - _check_node_exists:query:MATCH (n:`SMOKING BISHOP`) RETURN count(n) > 0 AS node_exists:result:True -2024-10-30 05:13:16,961 - lightrag - INFO - _do_upsert_edge:query: - MATCH (source:`SCROOGE`) - WITH source - MATCH (target:`SMOKING BISHOP`) - MERGE (source)-[r:DIRECTED]->(target) - SET r += $properties - RETURN r - :result:None -2024-10-30 05:13:17,138 - lightrag - INFO - _check_edge_existence:query:MATCH (a:`PROJECT GUTENBERG`)-[r]-(b:`THE FOUNDATION`) RETURN COUNT(r) > 0 AS edgeExists:result:True -2024-10-30 05:13:17,269 - lightrag - INFO - get_edge:query: - MATCH (source:`PROJECT GUTENBERG`)-[r]-(target:`THE FOUNDATION`) - RETURN r - :result:, ) type='DIRECTED' properties={'keywords': '"organizational governance, copyright management"', 'description': '"Project Gutenberg is operated and managed by The Foundation, which governs its copyright and licensing aspects."', 'weight': 9.0, 'source_id': 'chunk-194cd9680f4967f48bea89678f7ece21'}> -2024-10-30 05:13:17,408 - lightrag - INFO - _check_edge_existence:query:MATCH (a:`GENERAL TERMS OF USE`)-[r]-(b:`PROJECT GUTENBERG`) RETURN COUNT(r) > 0 AS edgeExists:result:False -2024-10-30 05:13:17,581 - lightrag - INFO - _check_node_exists:query:MATCH (n:`GENERAL TERMS OF USE`) RETURN count(n) > 0 AS node_exists:result:True -2024-10-30 05:13:17,754 - lightrag - INFO - _check_node_exists:query:MATCH (n:`PROJECT GUTENBERG`) RETURN count(n) > 0 AS node_exists:result:True -2024-10-30 05:13:17,940 - lightrag - INFO - _do_upsert_edge:query: - MATCH (source:`GENERAL TERMS OF USE`) - WITH source - MATCH (target:`PROJECT GUTENBERG`) - MERGE (source)-[r:DIRECTED]->(target) - SET r += $properties - RETURN r - :result:None -2024-10-30 05:13:18,120 - lightrag - INFO - _check_edge_existence:query:MATCH (a:`PROJECT GUTENBERG`)-[r]-(b:`TRANSCRIBER'S NOTE`) RETURN COUNT(r) > 0 AS edgeExists:result:True -2024-10-30 05:13:18,252 - lightrag - INFO - get_edge:query: - MATCH (source:`PROJECT GUTENBERG`)-[r]-(target:`TRANSCRIBER'S NOTE`) - RETURN r - :result:, ) type='DIRECTED' properties={'keywords': '"contextual enhancement, editorial contribution"', 'description': '"The transcriber\'s note provides additional context about the eBook created and distributed by Project Gutenberg."', 'weight': 6.0, 'source_id': 'chunk-194cd9680f4967f48bea89678f7ece21'}> -2024-10-30 05:13:18,399 - lightrag - INFO - _check_edge_existence:query:MATCH (a:`THE FOUNDATION`)-[r]-(b:`UNITED STATES COPYRIGHT`) RETURN COUNT(r) > 0 AS edgeExists:result:False -2024-10-30 05:13:18,575 - lightrag - INFO - _check_node_exists:query:MATCH (n:`THE FOUNDATION`) RETURN count(n) > 0 AS node_exists:result:True -2024-10-30 05:13:18,747 - lightrag - INFO - _check_node_exists:query:MATCH (n:`UNITED STATES COPYRIGHT`) RETURN count(n) > 0 AS node_exists:result:True -2024-10-30 05:13:18,926 - lightrag - INFO - _do_upsert_edge:query: - MATCH (source:`THE FOUNDATION`) - WITH source - MATCH (target:`UNITED STATES COPYRIGHT`) - MERGE (source)-[r:DIRECTED]->(target) - SET r += $properties - RETURN r - :result:None -2024-10-30 05:13:19,104 - lightrag - INFO - _check_edge_existence:query:MATCH (a:`ELECTRONIC WORKS`)-[r]-(b:`PROJECT GUTENBERG`) RETURN COUNT(r) > 0 AS edgeExists:result:False -2024-10-30 05:13:19,274 - lightrag - INFO - _check_node_exists:query:MATCH (n:`ELECTRONIC WORKS`) RETURN count(n) > 0 AS node_exists:result:True -2024-10-30 05:13:19,447 - lightrag - INFO - _check_node_exists:query:MATCH (n:`PROJECT GUTENBERG`) RETURN count(n) > 0 AS node_exists:result:True -2024-10-30 05:13:19,631 - lightrag - INFO - _do_upsert_edge:query: - MATCH (source:`ELECTRONIC WORKS`) - WITH source - MATCH (target:`PROJECT GUTENBERG`) - MERGE (source)-[r:DIRECTED]->(target) - SET r += $properties - RETURN r - :result:None -2024-10-30 05:13:19,812 - lightrag - INFO - _check_edge_existence:query:MATCH (a:`COPYRIGHT ROYALTIES`)-[r]-(b:`PROJECT GUTENBERG`) RETURN COUNT(r) > 0 AS edgeExists:result:False -2024-10-30 05:13:19,986 - lightrag - INFO - _check_node_exists:query:MATCH (n:`COPYRIGHT ROYALTIES`) RETURN count(n) > 0 AS node_exists:result:True -2024-10-30 05:13:20,143 - lightrag - INFO - _check_node_exists:query:MATCH (n:`PROJECT GUTENBERG`) RETURN count(n) > 0 AS node_exists:result:True -2024-10-30 05:13:20,322 - lightrag - INFO - _do_upsert_edge:query: - MATCH (source:`COPYRIGHT ROYALTIES`) - WITH source - MATCH (target:`PROJECT GUTENBERG`) - MERGE (source)-[r:DIRECTED]->(target) - SET r += $properties - RETURN r - :result:None -2024-10-30 05:13:20,504 - lightrag - INFO - _check_edge_existence:query:MATCH (a:`GENERAL TERMS OF USE`)-[r]-(b:`TRADEMARK LICENSE`) RETURN COUNT(r) > 0 AS edgeExists:result:False -2024-10-30 05:13:20,675 - lightrag - INFO - _check_node_exists:query:MATCH (n:`GENERAL TERMS OF USE`) RETURN count(n) > 0 AS node_exists:result:True -2024-10-30 05:13:20,848 - lightrag - INFO - _check_node_exists:query:MATCH (n:`TRADEMARK LICENSE`) RETURN count(n) > 0 AS node_exists:result:True -2024-10-30 05:13:21,029 - lightrag - INFO - _do_upsert_edge:query: - MATCH (source:`GENERAL TERMS OF USE`) - WITH source - MATCH (target:`TRADEMARK LICENSE`) - MERGE (source)-[r:DIRECTED]->(target) - SET r += $properties - RETURN r - :result:None -2024-10-30 05:13:21,208 - lightrag - INFO - _check_edge_existence:query:MATCH (a:`PROJECT GUTENBERG LITERARY ARCHIVE FOUNDATION`)-[r]-(b:`PROJECT GUTENBERG`) RETURN COUNT(r) > 0 AS edgeExists:result:True -2024-10-30 05:13:21,338 - lightrag - INFO - get_edge:query: - MATCH (source:`PROJECT GUTENBERG LITERARY ARCHIVE FOUNDATION`)-[r]-(target:`PROJECT GUTENBERG`) - RETURN r - :result:, ) type='DIRECTED' properties={'keywords': '"management, oversight"', 'description': '"The Project Gutenberg Literary Archive Foundation is responsible for managing the trademark of Project Gutenberg and ensuring compliance with its licensing terms."', 'weight': 8.0, 'source_id': 'chunk-af4ae173c561e4594c5aea96198cce9d'}> -2024-10-30 05:13:21,491 - lightrag - INFO - _check_edge_existence:query:MATCH (a:`PROJECT GUTENBERG`)-[r]-(b:`U.S. COPYRIGHT LAW`) RETURN COUNT(r) > 0 AS edgeExists:result:False -2024-10-30 05:13:21,648 - lightrag - INFO - _check_node_exists:query:MATCH (n:`PROJECT GUTENBERG`) RETURN count(n) > 0 AS node_exists:result:True -2024-10-30 05:13:21,821 - lightrag - INFO - _check_node_exists:query:MATCH (n:`U.S. COPYRIGHT LAW`) RETURN count(n) > 0 AS node_exists:result:True -2024-10-30 05:13:22,014 - lightrag - INFO - _do_upsert_edge:query: - MATCH (source:`PROJECT GUTENBERG`) - WITH source - MATCH (target:`U.S. COPYRIGHT LAW`) - MERGE (source)-[r:DIRECTED]->(target) - SET r += $properties - RETURN r - :result:None -2024-10-30 05:13:22,192 - lightrag - INFO - _check_edge_existence:query:MATCH (a:`EBOOK`)-[r]-(b:`PROJECT GUTENBERG`) RETURN COUNT(r) > 0 AS edgeExists:result:False -2024-10-30 05:13:22,362 - lightrag - INFO - _check_node_exists:query:MATCH (n:`EBOOK`) RETURN count(n) > 0 AS node_exists:result:True -2024-10-30 05:13:22,523 - lightrag - INFO - _check_node_exists:query:MATCH (n:`PROJECT GUTENBERG`) RETURN count(n) > 0 AS node_exists:result:True -2024-10-30 05:13:22,707 - lightrag - INFO - _do_upsert_edge:query: - MATCH (source:`EBOOK`) - WITH source - MATCH (target:`PROJECT GUTENBERG`) - MERGE (source)-[r:DIRECTED]->(target) - SET r += $properties - RETURN r - :result:None -2024-10-30 05:13:22,889 - lightrag - INFO - _check_edge_existence:query:MATCH (a:`PROJECT GUTENBERG`)-[r]-(b:`UNITED STATES`) RETURN COUNT(r) > 0 AS edgeExists:result:True -2024-10-30 05:13:23,023 - lightrag - INFO - get_edge:query: - MATCH (source:`PROJECT GUTENBERG`)-[r]-(target:`UNITED STATES`) - RETURN r - :result:, ) type='DIRECTED' properties={'keywords': '"legal framework, copyright law"', 'description': '"Project Gutenberg operates within the legal framework of the United States, influencing its copyright policies and user access."', 'weight': 8.0, 'source_id': 'chunk-194cd9680f4967f48bea89678f7ece21'}> -2024-10-30 05:13:23,160 - lightrag - INFO - _check_edge_existence:query:MATCH (a:`PROJECT GUTENBERG LITERARY ARCHIVE FOUNDATION`)-[r]-(b:`ROYALTY PAYMENTS`) RETURN COUNT(r) > 0 AS edgeExists:result:False -2024-10-30 05:13:23,328 - lightrag - INFO - _check_node_exists:query:MATCH (n:`PROJECT GUTENBERG LITERARY ARCHIVE FOUNDATION`) RETURN count(n) > 0 AS node_exists:result:True -2024-10-30 05:13:23,499 - lightrag - INFO - _check_node_exists:query:MATCH (n:`ROYALTY PAYMENTS`) RETURN count(n) > 0 AS node_exists:result:True -2024-10-30 05:13:23,679 - lightrag - INFO - _do_upsert_edge:query: - MATCH (source:`PROJECT GUTENBERG LITERARY ARCHIVE FOUNDATION`) - WITH source - MATCH (target:`ROYALTY PAYMENTS`) - MERGE (source)-[r:DIRECTED]->(target) - SET r += $properties - RETURN r - :result:None -2024-10-30 05:13:23,861 - lightrag - INFO - _check_edge_existence:query:MATCH (a:`COPYRIGHT HOLDER`)-[r]-(b:`PROJECT GUTENBERG`) RETURN COUNT(r) > 0 AS edgeExists:result:False -2024-10-30 05:13:24,026 - lightrag - INFO - _check_node_exists:query:MATCH (n:`COPYRIGHT HOLDER`) RETURN count(n) > 0 AS node_exists:result:True -2024-10-30 05:13:24,183 - lightrag - INFO - _check_node_exists:query:MATCH (n:`PROJECT GUTENBERG`) RETURN count(n) > 0 AS node_exists:result:True -2024-10-30 05:13:24,360 - lightrag - INFO - _do_upsert_edge:query: - MATCH (source:`COPYRIGHT HOLDER`) - WITH source - MATCH (target:`PROJECT GUTENBERG`) - MERGE (source)-[r:DIRECTED]->(target) - SET r += $properties - RETURN r - :result:None -2024-10-30 05:13:24,539 - lightrag - INFO - _check_edge_existence:query:MATCH (a:`DISTRIBUTION TERMS`)-[r]-(b:`PARAGRAPHS 1.E.1 THROUGH 1.E.9`) RETURN COUNT(r) > 0 AS edgeExists:result:False -2024-10-30 05:13:24,719 - lightrag - INFO - _check_node_exists:query:MATCH (n:`DISTRIBUTION TERMS`) RETURN count(n) > 0 AS node_exists:result:True -2024-10-30 05:13:24,888 - lightrag - INFO - _check_node_exists:query:MATCH (n:`PARAGRAPHS 1.E.1 THROUGH 1.E.9`) RETURN count(n) > 0 AS node_exists:result:True -2024-10-30 05:13:25,068 - lightrag - INFO - _do_upsert_edge:query: - MATCH (source:`DISTRIBUTION TERMS`) - WITH source - MATCH (target:`PARAGRAPHS 1.E.1 THROUGH 1.E.9`) - MERGE (source)-[r:DIRECTED]->(target) - SET r += $properties - RETURN r - :result:None -2024-10-30 05:13:25,249 - lightrag - INFO - _check_edge_existence:query:MATCH (a:`PROJECT GUTENBERG`)-[r]-(b:`VOLUNTEERS`) RETURN COUNT(r) > 0 AS edgeExists:result:False -2024-10-30 05:13:25,405 - lightrag - INFO - _check_node_exists:query:MATCH (n:`PROJECT GUTENBERG`) RETURN count(n) > 0 AS node_exists:result:True -2024-10-30 05:13:25,577 - lightrag - INFO - _check_node_exists:query:MATCH (n:`VOLUNTEERS`) RETURN count(n) > 0 AS node_exists:result:True -2024-10-30 05:13:25,761 - lightrag - INFO - _do_upsert_edge:query: - MATCH (source:`PROJECT GUTENBERG`) - WITH source - MATCH (target:`VOLUNTEERS`) - MERGE (source)-[r:DIRECTED]->(target) - SET r += $properties - RETURN r - :result:None -2024-10-30 05:13:25,949 - lightrag - INFO - _check_edge_existence:query:MATCH (a:`MISSISSIPPI`)-[r]-(b:`PROJECT GUTENBERG LITERARY ARCHIVE FOUNDATION`) RETURN COUNT(r) > 0 AS edgeExists:result:True -2024-10-30 05:13:26,089 - lightrag - INFO - get_edge:query: - MATCH (source:`MISSISSIPPI`)-[r]-(target:`PROJECT GUTENBERG LITERARY ARCHIVE FOUNDATION`) - RETURN r - :result:, ) type='DIRECTED' properties={'keywords': '"legal framework, organizational base""legal identity, location"', 'description': '"The Foundation is organized under the laws of Mississippi, establishing its legal framework.""The Project Gutenberg Literary Archive Foundation is organized under the laws of Mississippi, linking its operations to the state."', 'weight': 13.0, 'source_id': 'chunk-c51b3dc560b408cce12cdfe5c9c94f57chunk-85f77f5e3a9aba01133555a2d20e2fd8'}> -2024-10-30 05:13:26,229 - lightrag - INFO - _check_edge_existence:query:MATCH (a:`PROJECT GUTENBERG LITERARY ARCHIVE FOUNDATION`)-[r]-(b:`SALT LAKE CITY`) RETURN COUNT(r) > 0 AS edgeExists:result:True -2024-10-30 05:13:26,363 - lightrag - INFO - get_edge:query: - MATCH (source:`PROJECT GUTENBERG LITERARY ARCHIVE FOUNDATION`)-[r]-(target:`SALT LAKE CITY`) - RETURN r - :result:, ) type='DIRECTED' properties={'keywords': '"operational base, location""organizational presence, location"', 'description': '"The Foundation has its business office in Salt Lake City, establishing a geographic link to its operations.""The Project Gutenberg Literary Archive Foundation has its business office located in Salt Lake City, establishing a physical presence there."', 'weight': 15.0, 'source_id': 'chunk-c51b3dc560b408cce12cdfe5c9c94f57chunk-85f77f5e3a9aba01133555a2d20e2fd8'}> -2024-10-30 05:13:26,505 - lightrag - INFO - _check_edge_existence:query:MATCH (a:`DEFECTS`)-[r]-(b:`PROJECT GUTENBERG`) RETURN COUNT(r) > 0 AS edgeExists:result:False -2024-10-30 05:13:26,677 - lightrag - INFO - _check_node_exists:query:MATCH (n:`DEFECTS`) RETURN count(n) > 0 AS node_exists:result:True -2024-10-30 05:13:26,834 - lightrag - INFO - _check_node_exists:query:MATCH (n:`PROJECT GUTENBERG`) RETURN count(n) > 0 AS node_exists:result:True -2024-10-30 05:13:27,020 - lightrag - INFO - _do_upsert_edge:query: - MATCH (source:`DEFECTS`) - WITH source - MATCH (target:`PROJECT GUTENBERG`) - MERGE (source)-[r:DIRECTED]->(target) - SET r += $properties - RETURN r - :result:None -2024-10-30 05:13:27,199 - lightrag - INFO - _check_edge_existence:query:MATCH (a:`LEGAL FEES`)-[r]-(b:`VOLUNTEERS`) RETURN COUNT(r) > 0 AS edgeExists:result:False -2024-10-30 05:13:27,365 - lightrag - INFO - _check_node_exists:query:MATCH (n:`LEGAL FEES`) RETURN count(n) > 0 AS node_exists:result:True -2024-10-30 05:13:27,533 - lightrag - INFO - _check_node_exists:query:MATCH (n:`VOLUNTEERS`) RETURN count(n) > 0 AS node_exists:result:True -2024-10-30 05:13:27,714 - lightrag - INFO - _do_upsert_edge:query: - MATCH (source:`LEGAL FEES`) - WITH source - MATCH (target:`VOLUNTEERS`) - MERGE (source)-[r:DIRECTED]->(target) - SET r += $properties - RETURN r - :result:None -2024-10-30 05:13:27,898 - lightrag - INFO - _check_edge_existence:query:MATCH (a:`CONTRIBUTIONS`)-[r]-(b:`PROJECT GUTENBERG LITERARY ARCHIVE FOUNDATION`) RETURN COUNT(r) > 0 AS edgeExists:result:True -2024-10-30 05:13:28,032 - lightrag - INFO - get_edge:query: - MATCH (source:`CONTRIBUTIONS`)-[r]-(target:`PROJECT GUTENBERG LITERARY ARCHIVE FOUNDATION`) - RETURN r - :result:, ) type='DIRECTED' properties={'keywords': '"funding, operational sustainability"', 'description': '"Contributions are essential for the operational viability of the Foundation, directly supporting its mission."', 'weight': 9.0, 'source_id': 'chunk-85f77f5e3a9aba01133555a2d20e2fd8'}> -2024-10-30 05:13:28,172 - lightrag - INFO - _check_edge_existence:query:MATCH (a:`PROJECT GUTENBERG LITERARY ARCHIVE FOUNDATION`)-[r]-(b:`U.S. INTERNAL REVENUE SERVICE`) RETURN COUNT(r) > 0 AS edgeExists:result:False -2024-10-30 05:13:28,343 - lightrag - INFO - _check_node_exists:query:MATCH (n:`PROJECT GUTENBERG LITERARY ARCHIVE FOUNDATION`) RETURN count(n) > 0 AS node_exists:result:True -2024-10-30 05:13:28,519 - lightrag - INFO - _check_node_exists:query:MATCH (n:`U.S. INTERNAL REVENUE SERVICE`) RETURN count(n) > 0 AS node_exists:result:True -2024-10-30 05:13:28,703 - lightrag - INFO - _do_upsert_edge:query: - MATCH (source:`PROJECT GUTENBERG LITERARY ARCHIVE FOUNDATION`) - WITH source - MATCH (target:`U.S. INTERNAL REVENUE SERVICE`) - MERGE (source)-[r:DIRECTED]->(target) - SET r += $properties - RETURN r - :result:None -2024-10-30 05:13:28,886 - lightrag - INFO - _check_edge_existence:query:MATCH (a:`MICHAEL S. HART`)-[r]-(b:`PROJECT GUTENBERG LITERARY ARCHIVE FOUNDATION`) RETURN COUNT(r) > 0 AS edgeExists:result:True -2024-10-30 05:13:29,025 - lightrag - INFO - get_edge:query: - MATCH (source:`MICHAEL S. HART`)-[r]-(target:`PROJECT GUTENBERG LITERARY ARCHIVE FOUNDATION`) - RETURN r - :result:, ) type='DIRECTED' properties={'keywords': '"founder, mission creation"', 'description': '"Michael S. Hart is the originator of the Project Gutenberg concept, instrumental in establishing its mission and operations."', 'weight': 9.0, 'source_id': 'chunk-85f77f5e3a9aba01133555a2d20e2fd8'}> -2024-10-30 05:13:29,162 - lightrag - INFO - _check_edge_existence:query:MATCH (a:`DONATIONS`)-[r]-(b:`PROJECT GUTENBERG LITERARY ARCHIVE FOUNDATION`) RETURN COUNT(r) > 0 AS edgeExists:result:True -2024-10-30 05:13:29,294 - lightrag - INFO - get_edge:query: - MATCH (source:`DONATIONS`)-[r]-(target:`PROJECT GUTENBERG LITERARY ARCHIVE FOUNDATION`) - RETURN r - :result:, ) type='DIRECTED' properties={'keywords': '"financial support, project funding"', 'description': '"Donations are critical financial support for the Foundation, enabling its initiatives and projects."', 'weight': 9.0, 'source_id': 'chunk-85f77f5e3a9aba01133555a2d20e2fd8'}> -2024-10-30 05:13:29,432 - lightrag - INFO - _check_edge_existence:query:MATCH (a:`MICHAEL S. HART`)-[r]-(b:`PROJECT GUTENBERG EBOOKS`) RETURN COUNT(r) > 0 AS edgeExists:result:False -2024-10-30 05:13:29,606 - lightrag - INFO - _check_node_exists:query:MATCH (n:`MICHAEL S. HART`) RETURN count(n) > 0 AS node_exists:result:True -2024-10-30 05:13:29,775 - lightrag - INFO - _check_node_exists:query:MATCH (n:`PROJECT GUTENBERG EBOOKS`) RETURN count(n) > 0 AS node_exists:result:True -2024-10-30 05:13:29,961 - lightrag - INFO - _do_upsert_edge:query: - MATCH (source:`MICHAEL S. HART`) - WITH source - MATCH (target:`PROJECT GUTENBERG EBOOKS`) - MERGE (source)-[r:DIRECTED]->(target) - SET r += $properties - RETURN r - :result:None -2024-10-30 05:13:30,137 - lightrag - INFO - _check_edge_existence:query:MATCH (a:`501(C)(3)`)-[r]-(b:`PROJECT GUTENBERG LITERARY ARCHIVE FOUNDATION`) RETURN COUNT(r) > 0 AS edgeExists:result:False -2024-10-30 05:13:30,308 - lightrag - INFO - _check_node_exists:query:MATCH (n:`501(C)(3)`) RETURN count(n) > 0 AS node_exists:result:True -2024-10-30 05:13:30,469 - lightrag - INFO - _check_node_exists:query:MATCH (n:`PROJECT GUTENBERG LITERARY ARCHIVE FOUNDATION`) RETURN count(n) > 0 AS node_exists:result:True -2024-10-30 05:13:30,655 - lightrag - INFO - _do_upsert_edge:query: - MATCH (source:`501(C)(3)`) - WITH source - MATCH (target:`PROJECT GUTENBERG LITERARY ARCHIVE FOUNDATION`) - MERGE (source)-[r:DIRECTED]->(target) - SET r += $properties - RETURN r - :result:None -2024-10-30 05:13:30,833 - lightrag - INFO - _check_edge_existence:query:MATCH (a:`EIN 64-6221541`)-[r]-(b:`PROJECT GUTENBERG LITERARY ARCHIVE FOUNDATION`) RETURN COUNT(r) > 0 AS edgeExists:result:False -2024-10-30 05:13:31,004 - lightrag - INFO - _check_node_exists:query:MATCH (n:`EIN 64-6221541`) RETURN count(n) > 0 AS node_exists:result:True -2024-10-30 05:13:31,166 - lightrag - INFO - _check_node_exists:query:MATCH (n:`PROJECT GUTENBERG LITERARY ARCHIVE FOUNDATION`) RETURN count(n) > 0 AS node_exists:result:True -2024-10-30 05:13:31,363 - lightrag - INFO - _do_upsert_edge:query: - MATCH (source:`EIN 64-6221541`) - WITH source - MATCH (target:`PROJECT GUTENBERG LITERARY ARCHIVE FOUNDATION`) - MERGE (source)-[r:DIRECTED]->(target) - SET r += $properties - RETURN r - :result:None -2024-10-30 05:13:31,578 - lightrag - INFO - _check_edge_existence:query:MATCH (a:`PROJECT GUTENBERG LITERARY ARCHIVE FOUNDATION`)-[r]-(b:`U.S. FEDERAL LAWS`) RETURN COUNT(r) > 0 AS edgeExists:result:False -2024-10-30 05:13:31,734 - lightrag - INFO - _check_node_exists:query:MATCH (n:`PROJECT GUTENBERG LITERARY ARCHIVE FOUNDATION`) RETURN count(n) > 0 AS node_exists:result:True -2024-10-30 05:13:31,914 - lightrag - INFO - _check_node_exists:query:MATCH (n:`U.S. FEDERAL LAWS`) RETURN count(n) > 0 AS node_exists:result:True -2024-10-30 05:13:32,108 - lightrag - INFO - _do_upsert_edge:query: - MATCH (source:`PROJECT GUTENBERG LITERARY ARCHIVE FOUNDATION`) - WITH source - MATCH (target:`U.S. FEDERAL LAWS`) - MERGE (source)-[r:DIRECTED]->(target) - SET r += $properties - RETURN r - :result:None -2024-10-30 05:13:32,285 - lightrag - INFO - _check_edge_existence:query:MATCH (a:`PROJECT GUTENBERG LITERARY ARCHIVE FOUNDATION`)-[r]-(b:`WEBSITE`) RETURN COUNT(r) > 0 AS edgeExists:result:True -2024-10-30 05:13:32,420 - lightrag - INFO - get_edge:query: - MATCH (source:`PROJECT GUTENBERG LITERARY ARCHIVE FOUNDATION`)-[r]-(target:`WEBSITE`) - RETURN r - :result:, ) type='DIRECTED' properties={'keywords': '"information dissemination, online presence"', 'description': '"The Foundation uses its website to facilitate donations and disseminate information about its services and eBooks."', 'weight': 8.0, 'source_id': 'chunk-85f77f5e3a9aba01133555a2d20e2fd8'}> -2024-10-30 05:13:32,558 - lightrag - INFO - _check_edge_existence:query:MATCH (a:`PROJECT GUTENBERG LITERARY ARCHIVE FOUNDATION`)-[r]-(b:`PUBLIC DOMAIN`) RETURN COUNT(r) > 0 AS edgeExists:result:False -2024-10-30 05:13:32,720 - lightrag - INFO - _check_node_exists:query:MATCH (n:`PROJECT GUTENBERG LITERARY ARCHIVE FOUNDATION`) RETURN count(n) > 0 AS node_exists:result:True -2024-10-30 05:13:32,891 - lightrag - INFO - _check_node_exists:query:MATCH (n:`PUBLIC DOMAIN`) RETURN count(n) > 0 AS node_exists:result:True -2024-10-30 05:13:33,078 - lightrag - INFO - _do_upsert_edge:query: - MATCH (source:`PROJECT GUTENBERG LITERARY ARCHIVE FOUNDATION`) - WITH source - MATCH (target:`PUBLIC DOMAIN`) - MERGE (source)-[r:DIRECTED]->(target) - SET r += $properties - RETURN r - :result:None -2024-10-30 05:39:22,755 - lightrag - INFO - Logger initialized for working directory: ./neo4jWorkDir -2024-10-30 05:39:22,755 - lightrag - DEBUG - LightRAG init with param: - working_dir = ./neo4jWorkDir, - chunk_token_size = 1200, - chunk_overlap_token_size = 100, - tiktoken_model_name = gpt-4o-mini, - entity_extract_max_gleaning = 1, - entity_summary_to_max_tokens = 500, - node_embedding_algorithm = node2vec, - node2vec_params = {'dimensions': 1536, 'num_walks': 10, 'walk_length': 40, 'window_size': 2, 'iterations': 3, 'random_seed': 3}, - embedding_func = {'embedding_dim': 1536, 'max_token_size': 8192, 'func': }, - embedding_batch_num = 32, - embedding_func_max_async = 16, - llm_model_func = , - llm_model_name = meta-llama/Llama-3.2-1B-Instruct, - llm_model_max_token_size = 32768, - llm_model_max_async = 16, - key_string_value_json_storage_cls = , - vector_db_storage_cls = , - vector_db_storage_cls_kwargs = {}, - graph_storage_cls = , - enable_llm_cache = True, - addon_params = {}, - convert_response_to_json_func = - -2024-10-30 05:39:22,755 - lightrag - INFO - Load KV full_docs with 0 data -2024-10-30 05:39:22,756 - lightrag - INFO - Load KV text_chunks with 0 data -2024-10-30 05:39:22,757 - lightrag - INFO - Load KV llm_response_cache with 88 data -2024-10-30 05:39:22,760 - lightrag - INFO - Creating a new event loop in a sub-thread. -2024-10-30 05:39:22,761 - lightrag - INFO - [New Docs] inserting 1 docs -2024-10-30 05:39:22,955 - lightrag - INFO - [New Chunks] inserting 42 chunks -2024-10-30 05:39:22,955 - lightrag - INFO - Inserting 42 vectors to chunks -2024-10-30 05:39:24,771 - lightrag - INFO - [Entity Extraction]... -2024-10-30 05:39:25,587 - lightrag - INFO - get_node:query:MATCH (n:`PROJECT GUTENBERG`) RETURN n:result:"Project Gutenberg is a digital library offering free eBooks, allowing anyone to access literature in various formats without restrictions.""Project Gutenberg is a digital library providing free access to a wide range of eBooks, primarily in the United States and other regions, under specific licensing terms.""Project Gutenberg is an organization dedicated to the free distribution of electronic works and the preservation of the cultural heritage by providing access to public domain literature.""Project Gutenberg is an organization dedicated to the free distribution of electronic works, relying on volunteers and donations to maintain its collection.""Project Gutenberg is an organization that promotes the free distribution of electronic works and holds a compilation copyright for its collection.""Project Gutenberg is an organization that provides free eBooks, promoting accessibility to literature without restrictions."', 'source_id': 'chunk-194cd9680f4967f48bea89678f7ece21chunk-af4ae173c561e4594c5aea96198cce9dchunk-9e3921da66da5d761ab73cd849af6c43chunk-c51b3dc560b408cce12cdfe5c9c94f57'}> -2024-10-30 05:39:25,733 - lightrag - INFO - _do_upsert:query: - MERGE (n:`PROJECT GUTENBERG`) - SET n += $properties - RETURN n - :result:{'entity_type': '"ORGANIZATION"', 'description': '"Project Gutenberg is a digital library offering free access to a vast array of eBooks, particularly those not protected by U.S. copyright law, allowing for worldwide distribution under specific conditions.""Project Gutenberg is a digital library offering free access to a vast array of eBooks, particularly those not protected by U.S. copyright law, allowing for worldwide distribution under specific conditions.""Project Gutenberg is a digital library offering free eBooks, allowing anyone to access literature in various formats without restrictions.""Project Gutenberg is a digital library providing free access to a wide range of eBooks, primarily in the United States and other regions, under specific licensing terms.""Project Gutenberg is an organization dedicated to the free distribution of electronic works and the preservation of the cultural heritage by providing access to public domain literature.""Project Gutenberg is an organization dedicated to the free distribution of electronic works, relying on volunteers and donations to maintain its collection.""Project Gutenberg is an organization that promotes the free distribution of electronic works and holds a compilation copyright for its collection.""Project Gutenberg is an organization that provides free eBooks, promoting accessibility to literature without restrictions.""Project Gutenberg is an organization dedicated to the free distribution of electronic works, relying on volunteers and donations to maintain its collection.""Project Gutenberg is an organization that promotes the free distribution of electronic works and holds a compilation copyright for its collection.""Project Gutenberg is an organization that provides free eBooks, promoting accessibility to literature without restrictions."', 'source_id': 'chunk-9e3921da66da5d761ab73cd849af6c43chunk-c51b3dc560b408cce12cdfe5c9c94f57chunk-af4ae173c561e4594c5aea96198cce9dchunk-194cd9680f4967f48bea89678f7ece21'} -2024-10-30 05:39:25,878 - lightrag - INFO - get_node:query:MATCH (n:`A CHRISTMAS CAROL`) RETURN n:result:"A Christmas Carol is a literary work available through Project Gutenberg, indicating its role in literature and public access.""A Christmas Carol is a novella by Charles Dickens that explores themes of redemption, compassion, and the spirit of Christmas, first published in 1843."', 'source_id': 'chunk-194cd9680f4967f48bea89678f7ece21chunk-9e3921da66da5d761ab73cd849af6c43'}> -2024-10-30 05:39:26,016 - lightrag - INFO - _do_upsert:query: - MERGE (n:`A CHRISTMAS CAROL`) - SET n += $properties - RETURN n - :result:{'entity_type': '"EVENT"', 'description': '"A Christmas Carol is a famous novella by Charles Dickens that tells the story of Ebenezer Scrooge\'s transformation and redemption, particularly around the Christmas season.""A Christmas Carol is a famous novella by Charles Dickens that tells the story of Ebenezer Scrooge\'s transformation and redemption, particularly around the Christmas season.""A Christmas Carol is a literary work available through Project Gutenberg, indicating its role in literature and public access.""A Christmas Carol is a novella by Charles Dickens that explores themes of redemption, compassion, and the spirit of Christmas, first published in 1843.""A Christmas Carol is a literary work available through Project Gutenberg, indicating its role in literature and public access."', 'source_id': 'chunk-9e3921da66da5d761ab73cd849af6c43chunk-194cd9680f4967f48bea89678f7ece21'} -2024-10-30 05:39:26,154 - lightrag - INFO - get_node:query:MATCH (n:`CHARLES DICKENS`) RETURN n:result:"Charles Dickens is the author of A Christmas Carol, a prominent English writer known for his literary contributions in the 19th century."', 'source_id': 'chunk-9e3921da66da5d761ab73cd849af6c43'}> -2024-10-30 05:39:26,296 - lightrag - INFO - _do_upsert:query: - MERGE (n:`CHARLES DICKENS`) - SET n += $properties - RETURN n - :result:{'entity_type': '"PERSON"', 'description': '"Charles Dickens is a renowned English writer and social critic, best known for his novels depicting Victorian society, including A Christmas Carol.""Charles Dickens is the author of A Christmas Carol, a prominent English writer known for his literary contributions in the 19th century.""Charles Dickens is the author of A Christmas Carol, a prominent English writer known for his literary contributions in the 19th century."', 'source_id': 'chunk-9e3921da66da5d761ab73cd849af6c43'} -2024-10-30 05:39:26,435 - lightrag - INFO - get_node:query:MATCH (n:`ARTHUR RACKHAM`) RETURN n:result:"Arthur Rackham was an English illustrator known for his imaginative and detailed illustrations for children\'s books, including A Christmas Carol."', 'source_id': 'chunk-9e3921da66da5d761ab73cd849af6c43'}> -2024-10-30 05:39:26,575 - lightrag - INFO - _do_upsert:query: - MERGE (n:`ARTHUR RACKHAM`) - SET n += $properties - RETURN n - :result:{'entity_type': '"PERSON"', 'description': '"Arthur Rackham is the illustrator of A Christmas Carol, renowned for his distinctive style in illustrating classic literature.""Arthur Rackham is the illustrator of A Christmas Carol, renowned for his distinctive style in illustrating classic literature.""Arthur Rackham was an English illustrator known for his imaginative and detailed illustrations for children\'s books, including A Christmas Carol."', 'source_id': 'chunk-9e3921da66da5d761ab73cd849af6c43'} -2024-10-30 05:39:26,713 - lightrag - INFO - get_node:query:MATCH (n:`EBENEZER SCROOGE`) RETURN n:result:"Ebenezer Scrooge is a protagonist who experiences confusion and fear regarding the passage of time and supernatural events, especially concerned about a ghostly visitation.""Ebenezer Scrooge is the main character of A Christmas Carol, portrayed as a miserly and greedy old man who experiences a transformation through the visitation of spirits.""Ebenezer Scrooge is the main character of A Christmas Carol, depicted as a miserly and cold-hearted man who undergoes a significant transformation.""Ebenezer Scrooge is the main character who experiences a profound transformation through his encounters with supernatural entities."', 'source_id': 'chunk-c7b10789a9cb0af6c553730b29bd9034chunk-8bc1edd983869352d14cf0886a9175a7chunk-9e3921da66da5d761ab73cd849af6c43'}> -2024-10-30 05:39:26,853 - lightrag - INFO - _do_upsert:query: - MERGE (n:`EBENEZER SCROOGE`) - SET n += $properties - RETURN n - :result:{'entity_type': '"PERSON"', 'description': '"Ebenezer Scrooge is a central character known for his past connections and interactions, especially with Fezziwig and Dick Wilkins.""Ebenezer Scrooge is a central character known for his past connections and interactions, especially with Fezziwig and Dick Wilkins.""Ebenezer Scrooge is a protagonist who experiences confusion and fear regarding the passage of time and supernatural events, especially concerned about a ghostly visitation.""Ebenezer Scrooge is the main character of A Christmas Carol, portrayed as a miserly and greedy old man who experiences a transformation through the visitation of spirits.""Ebenezer Scrooge is the main character of A Christmas Carol, depicted as a miserly and cold-hearted man who undergoes a significant transformation.""Ebenezer Scrooge is the main character who experiences a profound transformation through his encounters with supernatural entities.""Ebenezer Scrooge is the main character of A Christmas Carol, depicted as a miserly and cold-hearted man who undergoes a significant transformation.""Ebenezer Scrooge is the main character who experiences a profound transformation through his encounters with supernatural entities."', 'source_id': 'chunk-9e3921da66da5d761ab73cd849af6c43chunk-c7b10789a9cb0af6c553730b29bd9034chunk-8bc1edd983869352d14cf0886a9175a7'} -2024-10-30 05:39:26,993 - lightrag - INFO - get_node:query:MATCH (n:`BOB CRATCHIT`) RETURN n:result:chunk-91572b3cd42786ba4cb2f180ca25cbf4chunk-d9aac3484185ac66045df92214d245d5chunk-b0f459f5af1c3a5e0b92cbe4ee48b77bchunk-83ac129dc9b56f84c46760d153d68e93chunk-94bea83e7153fc2064aa382b494936a1chunk-19d72c57ae3408758b18d2568e86dc6bchunk-1d4b58de5429cd1261370c231c8673e8chunk-9e3921da66da5d761ab73cd849af6c43chunk-503f0bfa5453467c7c61d160a3540ecachunk-90b95db5c53e4364a6bee36b7aa4d70f'}> -2024-10-30 05:39:26,996 - lightrag - DEBUG - Trigger summary: "BOB CRATCHIT" -2024-10-30 05:39:27,100 - lightrag - INFO - get_node:query:MATCH (n:`TINY TIM`) RETURN n:result:chunk-91572b3cd42786ba4cb2f180ca25cbf4chunk-83ac129dc9b56f84c46760d153d68e93chunk-94bea83e7153fc2064aa382b494936a1chunk-19d72c57ae3408758b18d2568e86dc6bchunk-1d4b58de5429cd1261370c231c8673e8chunk-9e3921da66da5d761ab73cd849af6c43chunk-503f0bfa5453467c7c61d160a3540ecachunk-90b95db5c53e4364a6bee36b7aa4d70fchunk-8f738cb25d60a7dab782162d9d0a25ed'}> -2024-10-30 05:39:27,103 - lightrag - DEBUG - Trigger summary: "TINY TIM" -2024-10-30 05:39:27,206 - lightrag - INFO - get_node:query:MATCH (n:`MR. FEZZIWIG`) RETURN n:result:"Mr. Fezziwig is a kind-hearted old merchant who served as a mentor to Scrooge, representing generosity and the joy of Christmas through his festive parties."', 'source_id': 'chunk-9e3921da66da5d761ab73cd849af6c43'}> -2024-10-30 05:39:27,345 - lightrag - INFO - _do_upsert:query: - MERGE (n:`MR. FEZZIWIG`) - SET n += $properties - RETURN n - :result:{'entity_type': '"PERSON"', 'description': '"Mr. Fezziwig is a kind-hearted merchant and former employer of Scrooge, representing joy and generosity in contrast to Scrooge\'s character.""Mr. Fezziwig is a kind-hearted merchant and former employer of Scrooge, representing joy and generosity in contrast to Scrooge\'s character.""Mr. Fezziwig is a kind-hearted old merchant who served as a mentor to Scrooge, representing generosity and the joy of Christmas through his festive parties."', 'source_id': 'chunk-9e3921da66da5d761ab73cd849af6c43'} -2024-10-30 05:39:27,479 - lightrag - INFO - get_node:query:MATCH (n:`GHOST OF CHRISTMAS PAST`) RETURN n:result:"The Ghost of Christmas Past is a supernatural entity that aids Scrooge in reflecting on his past experiences and emotions.""The Ghost of Christmas Past is one of the spirits in A Christmas Carol that shows Scrooge his past, prompting reflection and change.""The Ghost of Christmas Past represents a spirit that guides Scrooge to revisit and reflect on his past experiences and memories."', 'source_id': 'chunk-9e3921da66da5d761ab73cd849af6c43chunk-bb21d58d36c6306fd8810ddd51c4a971'}> -2024-10-30 05:39:27,619 - lightrag - INFO - _do_upsert:query: - MERGE (n:`GHOST OF CHRISTMAS PAST`) - SET n += $properties - RETURN n - :result:{'entity_type': '"EVENT"', 'description': '"The Ghost of Christmas Past is a supernatural character that shows Scrooge his past, helping him understand the roots of his current miserliness.""The Ghost of Christmas Past is a supernatural entity that aids Scrooge in reflecting on his past experiences and emotions.""The Ghost of Christmas Past is one of the spirits in A Christmas Carol that shows Scrooge his past, prompting reflection and change.""The Ghost of Christmas Past represents a spirit that guides Scrooge to revisit and reflect on his past experiences and memories.""The Ghost of Christmas Past is one of the spirits in A Christmas Carol that shows Scrooge his past, prompting reflection and change.""The Ghost of Christmas Past represents a spirit that guides Scrooge to revisit and reflect on his past experiences and memories."', 'source_id': 'chunk-9e3921da66da5d761ab73cd849af6c43chunk-bb21d58d36c6306fd8810ddd51c4a971'} -2024-10-30 05:39:27,757 - lightrag - INFO - get_node:query:MATCH (n:`GHOST OF CHRISTMAS PRESENT`) RETURN n:result:"The Ghost of Christmas Present is a spirit that reveals to Scrooge the joys and struggles of the present Christmas season, emphasizing generosity and compassion.""The Ghost of Christmas Present is a spirit that represents generosity and joy, playing a pivotal role in teaching Scrooge valuable lessons about kindness and the Christmas spirit.""The Ghost of Christmas Present is a spirit that reveals the current struggles and joys of others, influencing Scrooge\'s perspective."', 'source_id': 'chunk-9e3921da66da5d761ab73cd849af6c43chunk-843b5b2f944c7413d9ca876e2e2f151f'}> -2024-10-30 05:39:27,901 - lightrag - INFO - _do_upsert:query: - MERGE (n:`GHOST OF CHRISTMAS PRESENT`) - SET n += $properties - RETURN n - :result:{'entity_type': '"EVENT"', 'description': '"The Ghost of Christmas Present is a spirit that embodies generosity and abundance, leading Scrooge to self-reflection and understanding.""The Ghost of Christmas Present is a spirit that reveals to Scrooge the joys and struggles of the present Christmas season, emphasizing generosity and compassion.""The Ghost of Christmas Present is a spirit that represents generosity and joy, playing a pivotal role in teaching Scrooge valuable lessons about kindness and the Christmas spirit.""The Ghost of Christmas Present is a spirit that reveals the current struggles and joys of others, influencing Scrooge\'s perspective.""The Ghost of Christmas Present is a spirit that represents generosity and joy, playing a pivotal role in teaching Scrooge valuable lessons about kindness and the Christmas spirit.""The Ghost of Christmas Present is a spirit that reveals the current struggles and joys of others, influencing Scrooge\'s perspective."', 'source_id': 'chunk-9e3921da66da5d761ab73cd849af6c43chunk-843b5b2f944c7413d9ca876e2e2f151f'} -2024-10-30 05:39:28,038 - lightrag - INFO - get_node:query:MATCH (n:`GHOST OF CHRISTMAS YET TO COME`) RETURN n:result:"The Ghost of Christmas Yet to Come is an apparition that presents Scrooge with a grim vision of his possible future if he doesn\'t change his ways.""The Ghost of Christmas Yet to Come is an event within the story that signifies Scrooge\'s confrontation with the future consequences of his actions.""The Ghost of Christmas Yet to Come signifies a pivotal moment where Scrooge is confronted with the potential futures resulting from his life choices."', 'source_id': 'chunk-02baee20cc9463dbe08170a8e1043e32chunk-9e3921da66da5d761ab73cd849af6c43'}> -2024-10-30 05:39:28,179 - lightrag - INFO - _do_upsert:query: - MERGE (n:`GHOST OF CHRISTMAS YET TO COME`) - SET n += $properties - RETURN n - :result:{'entity_type': '"EVENT"', 'description': '"The Ghost of Christmas Yet to Come is a foreboding spirit that shows Scrooge the potential consequences of his actions if he does not change.""The Ghost of Christmas Yet to Come is a foreboding spirit that shows Scrooge the potential consequences of his actions if he does not change.""The Ghost of Christmas Yet to Come is an apparition that presents Scrooge with a grim vision of his possible future if he doesn\'t change his ways.""The Ghost of Christmas Yet to Come is an event within the story that signifies Scrooge\'s confrontation with the future consequences of his actions.""The Ghost of Christmas Yet to Come signifies a pivotal moment where Scrooge is confronted with the potential futures resulting from his life choices.""The Ghost of Christmas Yet to Come signifies a pivotal moment where Scrooge is confronted with the potential futures resulting from his life choices."', 'source_id': 'chunk-9e3921da66da5d761ab73cd849af6c43chunk-02baee20cc9463dbe08170a8e1043e32'} -2024-10-30 05:39:28,333 - lightrag - INFO - get_node:query:MATCH (n:`FRED`) RETURN n:result:"Fred is Scrooge\'s nephew who expresses admiration for his uncle and proposes a toast in his honor during a Christmas gathering.""Fred is Scrooge\'s nephew, mentioned in the context of Scrooge\'s visit to his house.""Fred is Scrooge\'s nephew, representing the warmth and joy of family that Scrooge initially rejects.""Fred is Scrooge\'s niece by marriage who expresses surprise and warmth at Scrooge\'s unexpected visit for dinner.""Fred is Ebenezer Scrooge\'s nephew, who embodies the spirit of Christmas and represents familial love and joy.""Fred is Scrooge\'s nephew who expresses admiration for Scrooge and raises a toast to his uncle during a Christmas gathering.""Fred is Scrooge\'s nephew, representing familial love and the joy of Christmas gatherings.""Fred is Scrooge\'s nephew, who invites Scrooge to dinner, emphasizing familial connections and the spirit of Christmas.""Fred is Scrooge\'s nephew, who is surprised by Scrooge\'s visit and is depicted as a friendly figure during the Christmas gathering."', 'source_id': 'chunk-e7637ff18c5ded77a68cce0a87883fadchunk-89777b838d5447c7bd1ec11282c4ee89chunk-94bea83e7153fc2064aa382b494936a1chunk-9e3921da66da5d761ab73cd849af6c43chunk-8f738cb25d60a7dab782162d9d0a25ed'}> -2024-10-30 05:39:28,488 - lightrag - INFO - _do_upsert:query: - MERGE (n:`FRED`) - SET n += $properties - RETURN n - :result:{'entity_type': '"PERSON"', 'description': '"Fred is Ebenezer Scrooge\'s lively nephew, who embodies the spirit of Christmas and contrasts with Scrooge\'s misanthropy by inviting him to family gatherings.""Fred is Scrooge\'s nephew who expresses admiration for his uncle and proposes a toast in his honor during a Christmas gathering.""Fred is Scrooge\'s nephew, mentioned in the context of Scrooge\'s visit to his house.""Fred is Scrooge\'s nephew, representing the warmth and joy of family that Scrooge initially rejects.""Fred is Scrooge\'s niece by marriage who expresses surprise and warmth at Scrooge\'s unexpected visit for dinner.""Fred is Ebenezer Scrooge\'s nephew, who embodies the spirit of Christmas and represents familial love and joy.""Fred is Scrooge\'s nephew who expresses admiration for Scrooge and raises a toast to his uncle during a Christmas gathering.""Fred is Scrooge\'s nephew, representing familial love and the joy of Christmas gatherings.""Fred is Scrooge\'s nephew, who invites Scrooge to dinner, emphasizing familial connections and the spirit of Christmas.""Fred is Scrooge\'s nephew, who is surprised by Scrooge\'s visit and is depicted as a friendly figure during the Christmas gathering.""Fred is Ebenezer Scrooge\'s nephew, who embodies the spirit of Christmas and represents familial love and joy.""Fred is Scrooge\'s nephew who expresses admiration for Scrooge and raises a toast to his uncle during a Christmas gathering.""Fred is Scrooge\'s nephew, representing familial love and the joy of Christmas gatherings.""Fred is Scrooge\'s nephew, who invites Scrooge to dinner, emphasizing familial connections and the spirit of Christmas.""Fred is Scrooge\'s nephew, who is surprised by Scrooge\'s visit and is depicted as a friendly figure during the Christmas gathering."', 'source_id': 'chunk-94bea83e7153fc2064aa382b494936a1chunk-9e3921da66da5d761ab73cd849af6c43chunk-89777b838d5447c7bd1ec11282c4ee89chunk-8f738cb25d60a7dab782162d9d0a25edchunk-e7637ff18c5ded77a68cce0a87883fad'} -2024-10-30 05:39:28,630 - lightrag - INFO - get_node:query:MATCH (n:`MRS. CRATCHIT`) RETURN n:result:"Mrs. Cratchit is Bob Cratchit\'s supportive wife, who strives to provide for her family despite their financial struggles and embodies resilience.""Mrs. Cratchit is Bob\'s wife who prepares the Christmas pudding, showcasing her pride and care in family traditions.""Mrs. Cratchit is Bob\'s wife, a supportive mother who manages the household while showing concern for her children\'s well-being.""Mrs. Cratchit is Bob\'s wife, portrayed as making an effort to prepare a festive atmosphere despite their financial struggles.""Mrs. Cratchit is a character who shows affection towards Bob, enhancing the family dynamic.""Mrs. Cratchit is the mother in the family who prepares the meal and shows warmth and attentiveness towards her family members during their Christmas celebration.""Mrs. Cratchit is Bob\'s wife, portrayed as devoted and hardworking, striving to create a joyous atmosphere for her family despite limited resources.""Mrs. Cratchit is Bob\'s wife, proud of her cooking skills, particularly the Christmas pudding, and plays a central role in the family\'s holiday celebration.""Mrs. Cratchit is Bob\'s wife, who expresses care for her family and shares in the emotional moments surrounding Tiny Tim\'s health.""Mrs. Cratchit is portrayed as outspoken and resentful towards Scrooge, yet ultimately participates in the Christmas festivities for her family\'s sake.""Mrs. Cratchit is the mother of the Cratchit family, depicted as nurturing and energetic, managing the Christmas preparations and caring for her children.""Mrs. Cratchit is the wife of Bob Cratchit, who supports her family and embodies warmth and resilience despite their struggles.""Mrs. Cratchit, the wife of Bob, is industrious and caring, focused on the well-being of her family."', 'source_id': 'chunk-7e2e7ebcc19a53b399dc03aded4743e7chunk-91572b3cd42786ba4cb2f180ca25cbf4chunk-b0f459f5af1c3a5e0b92cbe4ee48b77bchunk-19d72c57ae3408758b18d2568e86dc6bchunk-1d4b58de5429cd1261370c231c8673e8chunk-9e3921da66da5d761ab73cd849af6c43chunk-503f0bfa5453467c7c61d160a3540eca'}> -2024-10-30 05:39:28,633 - lightrag - DEBUG - Trigger summary: "MRS. CRATCHIT" -2024-10-30 05:39:28,738 - lightrag - INFO - get_node:query:MATCH (n:`BELINDA CRATCHIT`) RETURN n:result:"Belinda Cratchit is one of Bob Cratchit\'s daughters, assisting her mother in laying the dining cloth.""Belinda is a daughter of Bob and Mrs. Cratchit, representing the Cratchit family\'s love and unity during difficult times.""Belinda Cratchit is one of Bob\'s daughters, assisting in household tasks and showing a strong familial bond.""Belinda is the daughter of Bob and Mrs. Cratchit, representing the innocence and joyful spirit of the Cratchit family."', 'source_id': 'chunk-b0f459f5af1c3a5e0b92cbe4ee48b77bchunk-9e3921da66da5d761ab73cd849af6c43chunk-7e2e7ebcc19a53b399dc03aded4743e7'}> -2024-10-30 05:39:28,881 - lightrag - INFO - _do_upsert:query: - MERGE (n:`BELINDA CRATCHIT`) - SET n += $properties - RETURN n - :result:{'entity_type': '"PERSON"', 'description': '"Belinda Cratchit is another daughter in the Cratchit family, depicted as participating in the festive meal by sweetening the apple sauce, showcasing her involvement in family traditions.""Belinda Cratchit is one of Bob Cratchit\'s daughters, assisting her mother in laying the dining cloth.""Belinda is a daughter of Bob and Mrs. Cratchit, representing the Cratchit family\'s love and unity during difficult times.""Belinda Cratchit is one of Bob\'s daughters, assisting in household tasks and showing a strong familial bond.""Belinda is the daughter of Bob and Mrs. Cratchit, representing the innocence and joyful spirit of the Cratchit family.""Belinda Cratchit is one of Bob\'s daughters, assisting in household tasks and showing a strong familial bond.""Belinda is the daughter of Bob and Mrs. Cratchit, representing the innocence and joyful spirit of the Cratchit family."', 'source_id': 'chunk-9e3921da66da5d761ab73cd849af6c43chunk-7e2e7ebcc19a53b399dc03aded4743e7chunk-b0f459f5af1c3a5e0b92cbe4ee48b77b'} -2024-10-30 05:39:29,021 - lightrag - INFO - get_node:query:MATCH (n:`MARTHA CRATCHIT`) RETURN n:result:"Martha is another daughter of Bob and Mrs. Cratchit, who, like her sister Belinda, symbolizes the warmth and togetherness in the Cratchit household.""Martha Cratchit is a daughter of Bob and Mrs. Cratchit, working as an apprentice at a milliner\'s and looking forward to the holiday for a good rest.""Martha is another daughter of Bob and Mrs. Cratchit, who shows love and care for her family."', 'source_id': 'chunk-7e2e7ebcc19a53b399dc03aded4743e7chunk-9e3921da66da5d761ab73cd849af6c43chunk-19d72c57ae3408758b18d2568e86dc6b'}> -2024-10-30 05:39:29,160 - lightrag - INFO - _do_upsert:query: - MERGE (n:`MARTHA CRATCHIT`) - SET n += $properties - RETURN n - :result:{'entity_type': '"PERSON"', 'description': '"Martha Cratchit is a daughter in the Cratchit family who contributes to the household and shows affection for her family, particularly her father Bob.""Martha is another daughter of Bob and Mrs. Cratchit, who, like her sister Belinda, symbolizes the warmth and togetherness in the Cratchit household.""Martha Cratchit is a daughter of Bob and Mrs. Cratchit, working as an apprentice at a milliner\'s and looking forward to the holiday for a good rest.""Martha is another daughter of Bob and Mrs. Cratchit, who shows love and care for her family.""Martha Cratchit is a daughter of Bob and Mrs. Cratchit, working as an apprentice at a milliner\'s and looking forward to the holiday for a good rest.""Martha is another daughter of Bob and Mrs. Cratchit, who shows love and care for her family."', 'source_id': 'chunk-9e3921da66da5d761ab73cd849af6c43chunk-19d72c57ae3408758b18d2568e86dc6bchunk-7e2e7ebcc19a53b399dc03aded4743e7'} -2024-10-30 05:39:29,294 - lightrag - INFO - get_node:query:MATCH (n:`JOE`) RETURN n:result:"Joe is a marine-store dealer depicted as receiving stolen goods, illustrating the consequences of crime and the darker sides of society.""Joe is portrayed as a character engaged in a conversation about the deceased, displaying a mix of humor and practicality in dealing with the possessions of the dead.""Joe is a character who interacts with others, demonstrating a sense of curiosity and disbelief regarding certain situations and comments.""Joe is a marine-store dealer and receiver of stolen goods, indicative of the darker, more unscrupulous elements of society.""Joe is an old character who engages in conversation about the deceased man\'s belongings, revealing his pragmatic and somewhat cynical perspective on life and death."', 'source_id': 'chunk-e1f29eeadc1d8ab46dc8a0bbd3c56b64chunk-9e3921da66da5d761ab73cd849af6c43chunk-89777b838d5447c7bd1ec11282c4ee89'}> -2024-10-30 05:39:29,434 - lightrag - INFO - _do_upsert:query: - MERGE (n:`JOE`) - SET n += $properties - RETURN n - :result:{'entity_type': '"PERSON"', 'description': '"Joe is a character engaged in a conversation, displaying curiosity and a sense of humor regarding a situation related to \'bed-curtains\'.""Joe is a marine-store dealer depicted as receiving stolen goods, illustrating the consequences of crime and the darker sides of society.""Joe is portrayed as a character engaged in a conversation about the deceased, displaying a mix of humor and practicality in dealing with the possessions of the dead.""Joe is a character who interacts with others, demonstrating a sense of curiosity and disbelief regarding certain situations and comments.""Joe is a marine-store dealer and receiver of stolen goods, indicative of the darker, more unscrupulous elements of society.""Joe is an old character who engages in conversation about the deceased man\'s belongings, revealing his pragmatic and somewhat cynical perspective on life and death.""Joe is a character who interacts with others, demonstrating a sense of curiosity and disbelief regarding certain situations and comments.""Joe is a marine-store dealer and receiver of stolen goods, indicative of the darker, more unscrupulous elements of society.""Joe is an old character who engages in conversation about the deceased man\'s belongings, revealing his pragmatic and somewhat cynical perspective on life and death."', 'source_id': 'chunk-9e3921da66da5d761ab73cd849af6c43chunk-89777b838d5447c7bd1ec11282c4ee89chunk-e1f29eeadc1d8ab46dc8a0bbd3c56b64'} -2024-10-30 05:39:29,574 - lightrag - INFO - get_node:query:MATCH (n:`GHOST OF JACOB MARLEY`) RETURN n:result:"The Ghost of Jacob Marley is the specter of Scrooge\'s former business partner, who warns Scrooge to change his ways."', 'source_id': 'chunk-9e3921da66da5d761ab73cd849af6c43'}> -2024-10-30 05:39:29,713 - lightrag - INFO - _do_upsert:query: - MERGE (n:`GHOST OF JACOB MARLEY`) - SET n += $properties - RETURN n - :result:{'entity_type': '"EVENT"', 'description': '"The Ghost of Jacob Marley is Scrooge\'s deceased business partner who returns as a spirit to warn Scrooge about the consequences of his life choices and to encourage change.""The Ghost of Jacob Marley is the specter of Scrooge\'s former business partner, who warns Scrooge to change his ways.""The Ghost of Jacob Marley is the specter of Scrooge\'s former business partner, who warns Scrooge to change his ways."', 'source_id': 'chunk-9e3921da66da5d761ab73cd849af6c43'} -2024-10-30 05:39:29,854 - lightrag - INFO - get_node:query:MATCH (n:`FAN`) RETURN n:result:"Fan is Scrooge\'s caring sister who represents innocence and love, showcasing a more tender side of Scrooge’s past.""Fan is Scrooge\'s younger sister, who brings joy and the promise of a happier home, reflecting on their childhood relationship."', 'source_id': 'chunk-c6c248858d1b13ab7ee9ca13c1aeed6bchunk-9e3921da66da5d761ab73cd849af6c43'}> -2024-10-30 05:39:30,001 - lightrag - INFO - _do_upsert:query: - MERGE (n:`FAN`) - SET n += $properties - RETURN n - :result:{'entity_type': '"PERSON"', 'description': '"Fan is Ebenezer Scrooge\'s sister, who represents love and kindness from Scrooge\'s past, influencing his character development.""Fan is Ebenezer Scrooge\'s sister, who represents love and kindness from Scrooge\'s past, influencing his character development.""Fan is Scrooge\'s caring sister who represents innocence and love, showcasing a more tender side of Scrooge’s past.""Fan is Scrooge\'s younger sister, who brings joy and the promise of a happier home, reflecting on their childhood relationship.""Fan is Scrooge\'s younger sister, who brings joy and the promise of a happier home, reflecting on their childhood relationship."', 'source_id': 'chunk-9e3921da66da5d761ab73cd849af6c43chunk-c6c248858d1b13ab7ee9ca13c1aeed6b'} -2024-10-30 05:39:30,138 - lightrag - INFO - get_node:query:MATCH (n:`MRS. FEZZIWIG`) RETURN n:result:"Mrs. Fezziwig is the kind partner of Mr. Fezziwig, contributing to the festive atmosphere of their celebrations, emphasizing the importance of joyous gatherings.""Mrs. Fezziwig is the wife of Fezziwig, joining him in celebrations and dances, embodying warmth and partnership.""Mrs. Fezziwig is the wife of Fezziwig, participating in the dance, representing companionship and festive cheer.""Mrs. Fezziwig is noted for her smile and participation in the festivities, particularly in dancing with Fezziwig.""Mrs. Fezziwig is the partner of Mr. Fezziwig, known for her warmth and joyous nature during Christmas celebrations.""Mrs. Fezziwig partners with Fezziwig in hosting the domestic ball, contributing to the warmth and cheer of the event."', 'source_id': 'chunk-b2f98bc7abb0c67d4c86055c7fd72218chunk-8bc1edd983869352d14cf0886a9175a7chunk-9e3921da66da5d761ab73cd849af6c43chunk-89777b838d5447c7bd1ec11282c4ee89'}> -2024-10-30 05:39:30,276 - lightrag - INFO - _do_upsert:query: - MERGE (n:`MRS. FEZZIWIG`) - SET n += $properties - RETURN n - :result:{'entity_type': '"PERSON"', 'description': '"Mrs. Fezziwig is Fezziwig\'s partner at the domestic ball, contributing to the festive atmosphere alongside her husband.""Mrs. Fezziwig is the kind partner of Mr. Fezziwig, contributing to the festive atmosphere of their celebrations, emphasizing the importance of joyous gatherings.""Mrs. Fezziwig is the wife of Fezziwig, joining him in celebrations and dances, embodying warmth and partnership.""Mrs. Fezziwig is the wife of Fezziwig, participating in the dance, representing companionship and festive cheer.""Mrs. Fezziwig is noted for her smile and participation in the festivities, particularly in dancing with Fezziwig.""Mrs. Fezziwig is the partner of Mr. Fezziwig, known for her warmth and joyous nature during Christmas celebrations.""Mrs. Fezziwig partners with Fezziwig in hosting the domestic ball, contributing to the warmth and cheer of the event.""Mrs. Fezziwig is noted for her smile and participation in the festivities, particularly in dancing with Fezziwig.""Mrs. Fezziwig is the partner of Mr. Fezziwig, known for her warmth and joyous nature during Christmas celebrations.""Mrs. Fezziwig partners with Fezziwig in hosting the domestic ball, contributing to the warmth and cheer of the event."', 'source_id': 'chunk-9e3921da66da5d761ab73cd849af6c43chunk-89777b838d5447c7bd1ec11282c4ee89chunk-8bc1edd983869352d14cf0886a9175a7chunk-b2f98bc7abb0c67d4c86055c7fd72218'} -2024-10-30 05:39:30,415 - lightrag - INFO - get_node:query:MATCH (n:`FEZZIWIG`) RETURN n:result:"Fezziwig is a character noted for his role during a domestic ball, providing a joyful atmosphere and exemplifying kindness and generosity.""Fezziwig is a figure representing a cheerful and jovial employer who organizes lively Christmas festivities for his employees.""Fezziwig is a jovial figure from Scrooge\'s past, known for his kind-heartedness and as a former employer who embodies the spirit of Christmas.""Fezziwig is depicted as a joyful character who dances with his wife and embodies the spirit of Christmas.""Fezziwig is a joyful and lively character who dances with Mrs. Fezziwig, embodying the festive spirit of Christmas.""Fezziwig is presented as Scrooge\'s former employer, known for his jovial nature and generous spirit, who plays a significant role in Scrooge\'s memories.""Fezziwig is the owner of a business where festive celebrations take place, known for his jovial character and ability to create a lively atmosphere."', 'source_id': 'chunk-b2f98bc7abb0c67d4c86055c7fd72218chunk-c6c248858d1b13ab7ee9ca13c1aeed6bchunk-89777b838d5447c7bd1ec11282c4ee89chunk-8bc1edd983869352d14cf0886a9175a7'}> -2024-10-30 05:39:30,555 - lightrag - INFO - _do_upsert:query: - MERGE (n:`FEZZIWIG`) - SET n += $properties - RETURN n - :result:{'entity_type': '"PERSON"', 'description': '"Fezziwig is a character known for hosting a domestic ball that brings joy and merriment to the participants, showcasing his ability to create happiness.""Fezziwig is a character known for hosting a domestic ball that brings joy and merriment to the participants, showcasing his ability to create happiness.""Fezziwig is a character noted for his role during a domestic ball, providing a joyful atmosphere and exemplifying kindness and generosity.""Fezziwig is a figure representing a cheerful and jovial employer who organizes lively Christmas festivities for his employees.""Fezziwig is a jovial figure from Scrooge\'s past, known for his kind-heartedness and as a former employer who embodies the spirit of Christmas.""Fezziwig is depicted as a joyful character who dances with his wife and embodies the spirit of Christmas.""Fezziwig is a joyful and lively character who dances with Mrs. Fezziwig, embodying the festive spirit of Christmas.""Fezziwig is presented as Scrooge\'s former employer, known for his jovial nature and generous spirit, who plays a significant role in Scrooge\'s memories.""Fezziwig is the owner of a business where festive celebrations take place, known for his jovial character and ability to create a lively atmosphere.""Fezziwig is a joyful and lively character who dances with Mrs. Fezziwig, embodying the festive spirit of Christmas.""Fezziwig is presented as Scrooge\'s former employer, known for his jovial nature and generous spirit, who plays a significant role in Scrooge\'s memories.""Fezziwig is the owner of a business where festive celebrations take place, known for his jovial character and ability to create a lively atmosphere."', 'source_id': 'chunk-b2f98bc7abb0c67d4c86055c7fd72218chunk-c6c248858d1b13ab7ee9ca13c1aeed6bchunk-8bc1edd983869352d14cf0886a9175a7chunk-89777b838d5447c7bd1ec11282c4ee89'} -2024-10-30 05:39:30,695 - lightrag - INFO - get_node:query:MATCH (n:`SCROOGE`) RETURN n:result:chunk-c7b10789a9cb0af6c553730b29bd9034chunk-b0f459f5af1c3a5e0b92cbe4ee48b77bchunk-02baee20cc9463dbe08170a8e1043e32chunk-bb21d58d36c6306fd8810ddd51c4a971chunk-503f0bfa5453467c7c61d160a3540ecachunk-1aa50206d02ed89418f65f97c6441d1cchunk-9c43dac2fcd5b578242d907ea6f8fc7bchunk-773d0df1dd25c356f7b771d780583e09chunk-843b5b2f944c7413d9ca876e2e2f151fchunk-f1a4fbcf1ed86864b9bfd5e8dba4c683chunk-8f738cb25d60a7dab782162d9d0a25edchunk-91614df5cb74cbe5e109a338a82041e9chunk-83ac129dc9b56f84c46760d153d68e93chunk-359187e7571bda4b0b08b2e0b6581e52chunk-cb661c37436355ccec2769b1d0350c5fchunk-91572b3cd42786ba4cb2f180ca25cbf4chunk-99b0ec7f7e006561352b5d65e849611dchunk-e1f29eeadc1d8ab46dc8a0bbd3c56b64chunk-c6c248858d1b13ab7ee9ca13c1aeed6bchunk-5dac41b3f9eeaf794f0147400b1718cdchunk-89777b838d5447c7bd1ec11282c4ee89chunk-b2f98bc7abb0c67d4c86055c7fd72218chunk-94bea83e7153fc2064aa382b494936a1chunk-8590d9263cd2cd4fa583c432fc54e6c3chunk-54bdd22db1f84a965b5f4c06c9216d8dchunk-90b95db5c53e4364a6bee36b7aa4d70fchunk-e7637ff18c5ded77a68cce0a87883fadchunk-90d5764e301321c087f5a8f78b73a145chunk-74e2466de2f67fd710ef2f20c0a8d9e0chunk-da2472b4ef2a535b62908f14d0fb0ca9chunk-19d72c57ae3408758b18d2568e86dc6bchunk-43c9bee23adfa77aa9dedd22401bba7d'}> -2024-10-30 05:39:30,698 - lightrag - DEBUG - Trigger summary: "SCROOGE" -2024-10-30 05:39:30,803 - lightrag - INFO - get_node:query:MATCH (n:`MARLEY`) RETURN n:result:"Marley is Scrooge\'s deceased business partner, whose death is a significant event that sets the tone for the story.""Marley is Scrooge\'s deceased business partner, whose death is mentioned as impactful, having passed seven years prior to the events in the text.""Marley is Scrooge\'s deceased business partner, whose spectral presence looms over Scrooge, evoking themes of regret and the supernatural.""Marley is Scrooge\'s deceased partner whose death is emphasized, and who impacts Scrooge\'s story through memories and reflections.""Marley is a character who, although only mentioned, has had a significant influence on Scrooge\'s life and perspective, representing his past connections.""Marley is a deceased character whose ghost appears to Scrooge, representing regret and the consequences of a life led without compassion.""Marley is depicted as a ghost, having a pigtail, waistcoat, tights, and boots, and is central to Scrooge\'s haunting experience."', 'source_id': 'chunk-d9aac3484185ac66045df92214d245d5chunk-5dac41b3f9eeaf794f0147400b1718cdchunk-89777b838d5447c7bd1ec11282c4ee89chunk-9c43dac2fcd5b578242d907ea6f8fc7bchunk-843b5b2f944c7413d9ca876e2e2f151f'}> -2024-10-30 05:39:30,941 - lightrag - INFO - _do_upsert:query: - MERGE (n:`MARLEY`) - SET n += $properties - RETURN n - :result:{'entity_type': '"PERSON"', 'description': '"Marley is Scrooge\'s deceased business partner whose presence looms over the story, symbolizing the consequences of a life similar to Scrooge\'s.""Marley is Scrooge\'s deceased business partner whose presence looms over the story, symbolizing the consequences of a life similar to Scrooge\'s.""Marley is Scrooge\'s deceased business partner, whose death is a significant event that sets the tone for the story.""Marley is Scrooge\'s deceased business partner, whose death is mentioned as impactful, having passed seven years prior to the events in the text.""Marley is Scrooge\'s deceased business partner, whose spectral presence looms over Scrooge, evoking themes of regret and the supernatural.""Marley is Scrooge\'s deceased partner whose death is emphasized, and who impacts Scrooge\'s story through memories and reflections.""Marley is a character who, although only mentioned, has had a significant influence on Scrooge\'s life and perspective, representing his past connections.""Marley is a deceased character whose ghost appears to Scrooge, representing regret and the consequences of a life led without compassion.""Marley is depicted as a ghost, having a pigtail, waistcoat, tights, and boots, and is central to Scrooge\'s haunting experience.""Marley is Scrooge\'s deceased business partner, whose death is a significant event that sets the tone for the story.""Marley is Scrooge\'s deceased business partner, whose death is mentioned as impactful, having passed seven years prior to the events in the text.""Marley is depicted as a ghost, having a pigtail, waistcoat, tights, and boots, and is central to Scrooge\'s haunting experience."', 'source_id': 'chunk-843b5b2f944c7413d9ca876e2e2f151fchunk-5dac41b3f9eeaf794f0147400b1718cdchunk-d9aac3484185ac66045df92214d245d5chunk-9c43dac2fcd5b578242d907ea6f8fc7bchunk-89777b838d5447c7bd1ec11282c4ee89'} -2024-10-30 05:39:31,076 - lightrag - INFO - get_node:query:MATCH (n:`CHRISTMAS`) RETURN n:result:chunk-503f0bfa5453467c7c61d160a3540ecachunk-773d0df1dd25c356f7b771d780583e09chunk-8f738cb25d60a7dab782162d9d0a25edchunk-91614df5cb74cbe5e109a338a82041e9chunk-91572b3cd42786ba4cb2f180ca25cbf4chunk-99b0ec7f7e006561352b5d65e849611dchunk-c6c248858d1b13ab7ee9ca13c1aeed6bchunk-5dac41b3f9eeaf794f0147400b1718cdchunk-89777b838d5447c7bd1ec11282c4ee89chunk-94bea83e7153fc2064aa382b494936a1chunk-8590d9263cd2cd4fa583c432fc54e6c3chunk-1d4b58de5429cd1261370c231c8673e8chunk-54bdd22db1f84a965b5f4c06c9216d8dchunk-e7637ff18c5ded77a68cce0a87883fadchunk-90d5764e301321c087f5a8f78b73a145chunk-74e2466de2f67fd710ef2f20c0a8d9e0chunk-da2472b4ef2a535b62908f14d0fb0ca9chunk-43c9bee23adfa77aa9dedd22401bba7d'}> -2024-10-30 05:39:31,079 - lightrag - DEBUG - Trigger summary: "CHRISTMAS" -2024-10-30 05:39:31,183 - lightrag - INFO - get_node:query:MATCH (n:`THE WAREHOUSE`) RETURN n:result:"The Warehouse is the setting for Fezziwig\'s celebrations, transformed into a ballroom for the festivities.""The Warehouse is the place of business shared by Scrooge and Marley, a symbol of their partnership in life and business.""The Warehouse serves as the setting for Scrooge\'s memories of Fezziwig\'s jovial nature and the lively gatherings during his apprenticeship."', 'source_id': 'chunk-c6c248858d1b13ab7ee9ca13c1aeed6bchunk-89777b838d5447c7bd1ec11282c4ee89chunk-8bc1edd983869352d14cf0886a9175a7'}> -2024-10-30 05:39:31,321 - lightrag - INFO - _do_upsert:query: - MERGE (n:`THE WAREHOUSE`) - SET n += $properties - RETURN n - :result:{'entity_type': '"ORGANIZATION"', 'description': '"The Warehouse is a specific location where Scrooge had previously apprenticed and holds significant memories for him.""The Warehouse is the setting for Fezziwig\'s celebrations, transformed into a ballroom for the festivities.""The Warehouse is the place of business shared by Scrooge and Marley, a symbol of their partnership in life and business.""The Warehouse serves as the setting for Scrooge\'s memories of Fezziwig\'s jovial nature and the lively gatherings during his apprenticeship.""The Warehouse is the place of business shared by Scrooge and Marley, a symbol of their partnership in life and business.""The Warehouse serves as the setting for Scrooge\'s memories of Fezziwig\'s jovial nature and the lively gatherings during his apprenticeship."', 'source_id': 'chunk-c6c248858d1b13ab7ee9ca13c1aeed6bchunk-8bc1edd983869352d14cf0886a9175a7chunk-89777b838d5447c7bd1ec11282c4ee89'} -2024-10-30 05:39:31,458 - lightrag - INFO - get_node:query:MATCH (n:`THE WOMAN`) RETURN n:result:"The Woman is a character involved in the dialogue about the deceased\'s belongings, showing a carefree attitude towards their former owner.""The Woman is a character who enters the shop with a heavy bundle and demonstrates a bold and defiant demeanor, eager to take part in the conversation about the deceased\'s belongings.""The Woman engages in conversation with Joe, providing light-hearted responses and laughing at the absurdity of their discussions.""The Woman is an unknown character, bold and defiant, who instigates the gathering and discusses the deceased with a lack of reverence.""The Woman is another character who interacts with Joe, demonstrating a lack of reverence for the deceased and a focus on material gain."', 'source_id': 'chunk-60fc063c79fc0d4acc91a57e79de04dcchunk-89777b838d5447c7bd1ec11282c4ee89chunk-e1f29eeadc1d8ab46dc8a0bbd3c56b64'}> -2024-10-30 05:39:31,599 - lightrag - INFO - _do_upsert:query: - MERGE (n:`THE WOMAN`) - SET n += $properties - RETURN n - :result:{'entity_type': '"PERSON"', 'description': '"The Woman engages in a humorous exchange with Joe about taking down bed-curtains, showcasing lively communication among characters.""The Woman is a character involved in the dialogue about the deceased\'s belongings, showing a carefree attitude towards their former owner.""The Woman is a character who enters the shop with a heavy bundle and demonstrates a bold and defiant demeanor, eager to take part in the conversation about the deceased\'s belongings.""The Woman engages in conversation with Joe, providing light-hearted responses and laughing at the absurdity of their discussions.""The Woman is an unknown character, bold and defiant, who instigates the gathering and discusses the deceased with a lack of reverence.""The Woman is another character who interacts with Joe, demonstrating a lack of reverence for the deceased and a focus on material gain.""The Woman engages in conversation with Joe, providing light-hearted responses and laughing at the absurdity of their discussions.""The Woman is an unknown character, bold and defiant, who instigates the gathering and discusses the deceased with a lack of reverence.""The Woman is another character who interacts with Joe, demonstrating a lack of reverence for the deceased and a focus on material gain."', 'source_id': 'chunk-60fc063c79fc0d4acc91a57e79de04dcchunk-89777b838d5447c7bd1ec11282c4ee89chunk-e1f29eeadc1d8ab46dc8a0bbd3c56b64'} -2024-10-30 05:39:31,738 - lightrag - INFO - get_node:query:MATCH (n:`TIM`) RETURN n:result: -2024-10-30 05:39:31,885 - lightrag - INFO - _do_upsert:query: - MERGE (n:`TIM`) - SET n += $properties - RETURN n - :result:{'entity_type': '"PERSON"', 'description': '"Tim is mentioned as someone important to Scrooge, indicating familial ties and possibly evoking sympathy and regret from Scrooge\'s character."', 'source_id': 'chunk-89777b838d5447c7bd1ec11282c4ee89'} -2024-10-30 05:39:32,023 - lightrag - INFO - get_node:query:MATCH (n:`THE LACE TUCKER`) RETURN n:result:"The Lace Tucker is a small event within the text, illustrating moments of humor and social interactions among characters."', 'source_id': 'chunk-773d0df1dd25c356f7b771d780583e09chunk-89777b838d5447c7bd1ec11282c4ee89'}> -2024-10-30 05:39:32,163 - lightrag - INFO - _do_upsert:query: - MERGE (n:`THE LACE TUCKER`) - SET n += $properties - RETURN n - :result:{'entity_type': '"EVENT"', 'description': '"The Lace Tucker is a fashionable accessory worn by one of Scrooge\'s Niece\'s sisters, representing the social settings and themes of appearance in the gathering.""The Lace Tucker is a fashionable accessory worn by one of Scrooge\'s Niece\'s sisters, representing the social settings and themes of appearance in the gathering.""The Lace Tucker is a small event within the text, illustrating moments of humor and social interactions among characters.""The Lace Tucker is a small event within the text, illustrating moments of humor and social interactions among characters."', 'source_id': 'chunk-89777b838d5447c7bd1ec11282c4ee89chunk-773d0df1dd25c356f7b771d780583e09'} -2024-10-30 05:39:32,295 - lightrag - INFO - get_node:query:MATCH (n:`OLD SCROOGE`) RETURN n:result: -2024-10-30 05:39:32,478 - lightrag - INFO - _do_upsert:query: - MERGE (n:`OLD SCROOGE`) - SET n += $properties - RETURN n - :result:{'entity_type': '"PERSON"', 'description': '"Old Scrooge represents an earlier version of Scrooge, depicted in memories or recollections and emphasizing his character\'s history."', 'source_id': 'chunk-89777b838d5447c7bd1ec11282c4ee89'} -2024-10-30 05:39:32,616 - lightrag - INFO - get_node:query:MATCH (n:`THE FUNERAL`) RETURN n:result:"The Funeral of Marley is a significant event that highlights Scrooge\'s relationship with Marley and sets the tone for their partnership and Scrooge\'s eventual path.""The Funeral serves as a significant event reflecting on Marley\'s death, noted for its business-like atmosphere as perceived by Scrooge."', 'source_id': 'chunk-89777b838d5447c7bd1ec11282c4ee89chunk-f1a4fbcf1ed86864b9bfd5e8dba4c683'}> -2024-10-30 05:39:32,760 - lightrag - INFO - _do_upsert:query: - MERGE (n:`THE FUNERAL`) - SET n += $properties - RETURN n - :result:{'entity_type': '"EVENT"', 'description': '"The Funeral is a context for conversation among characters, reflecting on mortality and social connections surrounding death.""The Funeral is a context for conversation among characters, reflecting on mortality and social connections surrounding death.""The Funeral of Marley is a significant event that highlights Scrooge\'s relationship with Marley and sets the tone for their partnership and Scrooge\'s eventual path.""The Funeral serves as a significant event reflecting on Marley\'s death, noted for its business-like atmosphere as perceived by Scrooge.""The Funeral of Marley is a significant event that highlights Scrooge\'s relationship with Marley and sets the tone for their partnership and Scrooge\'s eventual path."', 'source_id': 'chunk-f1a4fbcf1ed86864b9bfd5e8dba4c683chunk-89777b838d5447c7bd1ec11282c4ee89'} -2024-10-30 05:39:32,896 - lightrag - INFO - get_node:query:MATCH (n:`SCROOGE'S NEPHEW`) RETURN n:result:"Scrooge\'s Nephew is a cheerful and optimistic character who represents the spirit of Christmas, opposing Scrooge\'s views.""Scrooge\'s Nephew is characterized by his contagious laughter and good humor, contrasting with his uncle\'s miserliness.""Scrooge\'s Nephew is portrayed as optimistic about Christmas, emphasizing its positive qualities despite Scrooge\'s negativity.""Scrooge\'s nephew is a character present at the gathering who actively participates in the games and engages with his family.""Scrooge\'s Nephew is a jovial character known for his infectious laughter and optimistic attitude towards Christmas, finding humor in Scrooge\'s ill temper and wealth.""Scrooge\'s Nephew is portrayed as warm-hearted and attempts to engage his uncle in the spirit of Christmas, despite Scrooge\'s rebuff.""Scrooge\'s nephew is portrayed as a joyful character who embodies laughter and good-humor, contrasting with Scrooge\'s initial persona."', 'source_id': 'chunk-91614df5cb74cbe5e109a338a82041e9chunk-74e2466de2f67fd710ef2f20c0a8d9e0chunk-5dac41b3f9eeaf794f0147400b1718cdchunk-43c9bee23adfa77aa9dedd22401bba7dchunk-773d0df1dd25c356f7b771d780583e09'}> -2024-10-30 05:39:33,038 - lightrag - INFO - _do_upsert:query: - MERGE (n:`SCROOGE'S NEPHEW`) - SET n += $properties - RETURN n - :result:{'entity_type': '"PERSON"', 'description': '"Scrooge\'s Nephew is a cheerful and optimistic character who challenges Scrooge\'s gloomy outlook on Christmas and life.""Scrooge\'s Nephew is a cheerful and optimistic character who challenges Scrooge\'s gloomy outlook on Christmas and life.""Scrooge\'s Nephew is a cheerful and optimistic character who represents the spirit of Christmas, opposing Scrooge\'s views.""Scrooge\'s Nephew is characterized by his contagious laughter and good humor, contrasting with his uncle\'s miserliness.""Scrooge\'s Nephew is portrayed as optimistic about Christmas, emphasizing its positive qualities despite Scrooge\'s negativity.""Scrooge\'s nephew is a character present at the gathering who actively participates in the games and engages with his family.""Scrooge\'s Nephew is a jovial character known for his infectious laughter and optimistic attitude towards Christmas, finding humor in Scrooge\'s ill temper and wealth.""Scrooge\'s Nephew is portrayed as warm-hearted and attempts to engage his uncle in the spirit of Christmas, despite Scrooge\'s rebuff.""Scrooge\'s nephew is portrayed as a joyful character who embodies laughter and good-humor, contrasting with Scrooge\'s initial persona.""Scrooge\'s Nephew is a jovial character known for his infectious laughter and optimistic attitude towards Christmas, finding humor in Scrooge\'s ill temper and wealth.""Scrooge\'s Nephew is portrayed as warm-hearted and attempts to engage his uncle in the spirit of Christmas, despite Scrooge\'s rebuff.""Scrooge\'s nephew is portrayed as a joyful character who embodies laughter and good-humor, contrasting with Scrooge\'s initial persona."', 'source_id': 'chunk-773d0df1dd25c356f7b771d780583e09chunk-5dac41b3f9eeaf794f0147400b1718cdchunk-74e2466de2f67fd710ef2f20c0a8d9e0chunk-91614df5cb74cbe5e109a338a82041e9chunk-43c9bee23adfa77aa9dedd22401bba7d'} -2024-10-30 05:39:33,179 - lightrag - INFO - get_node:query:MATCH (n:`COUNTING-HOUSE`) RETURN n:result:"The Counting-House is a physical space representing the business environment where Scrooge and Marley engaged in trade but also symbolizes their limited worldview.""The Counting-house is the place where Scrooge conducted his business and represents the limitations of his previous life."', 'source_id': 'chunk-74e2466de2f67fd710ef2f20c0a8d9e0chunk-359187e7571bda4b0b08b2e0b6581e52'}> -2024-10-30 05:39:33,318 - lightrag - INFO - _do_upsert:query: - MERGE (n:`COUNTING-HOUSE`) - SET n += $properties - RETURN n - :result:{'entity_type': '"LOCATION"', 'description': '"Scrooge\'s counting-house is the place of his work, characterized by coldness and a lack of warmth or holiday spirit.""Scrooge\'s counting-house is the place of his work, characterized by coldness and a lack of warmth or holiday spirit.""The Counting-House is a physical space representing the business environment where Scrooge and Marley engaged in trade but also symbolizes their limited worldview.""The Counting-house is the place where Scrooge conducted his business and represents the limitations of his previous life.""The Counting-house is the place where Scrooge conducted his business and represents the limitations of his previous life."', 'source_id': 'chunk-74e2466de2f67fd710ef2f20c0a8d9e0chunk-359187e7571bda4b0b08b2e0b6581e52'} -2024-10-30 05:39:33,453 - lightrag - INFO - get_node:query:MATCH (n:`BEGGARS`) RETURN n:result: -2024-10-30 05:39:33,592 - lightrag - INFO - _do_upsert:query: - MERGE (n:`BEGGARS`) - SET n += $properties - RETURN n - :result:{'entity_type': '"PERSON"', 'description': '"Beggars are individuals who implore Scrooge for charity, symbolizing the lack of compassion and generosity in his character."', 'source_id': 'chunk-74e2466de2f67fd710ef2f20c0a8d9e0'} -2024-10-30 05:39:33,723 - lightrag - INFO - get_node:query:MATCH (n:`CHILDREN`) RETURN n:result:"The Children represent innocence and purity, highlighted as victims of societal neglect and calling for compassion from Scrooge.""The Children represent the joyful, carefree aspects of Scrooge\'s past, embodying happiness and the innocence of youth that he has long forgotten.""The Children represent innocence and the impact of societal neglect, embodied by Ignorance and Want as personified by the Spirit."', 'source_id': 'chunk-74e2466de2f67fd710ef2f20c0a8d9e0chunk-bb21d58d36c6306fd8810ddd51c4a971chunk-e7637ff18c5ded77a68cce0a87883fad'}> -2024-10-30 05:39:33,870 - lightrag - INFO - _do_upsert:query: - MERGE (n:`CHILDREN`) - SET n += $properties - RETURN n - :result:{'entity_type': '"PERSON"', 'description': '"Children represent innocence and joy, often seen as seeking affection and connection with adults like Scrooge.""Children represent innocence and joy, often seen as seeking affection and connection with adults like Scrooge.""The Children represent innocence and purity, highlighted as victims of societal neglect and calling for compassion from Scrooge.""The Children represent the joyful, carefree aspects of Scrooge\'s past, embodying happiness and the innocence of youth that he has long forgotten.""The Children represent innocence and the impact of societal neglect, embodied by Ignorance and Want as personified by the Spirit.""The Children represent innocence and the impact of societal neglect, embodied by Ignorance and Want as personified by the Spirit."', 'source_id': 'chunk-74e2466de2f67fd710ef2f20c0a8d9e0chunk-bb21d58d36c6306fd8810ddd51c4a971chunk-e7637ff18c5ded77a68cce0a87883fad'} -2024-10-30 05:39:34,006 - lightrag - INFO - get_node:query:MATCH (n:`COLD WEATHER`) RETURN n:result:"Cold Weather sets the bleak and unforgiving atmosphere, reflecting Scrooge’s own personality and state of mind."', 'source_id': 'chunk-74e2466de2f67fd710ef2f20c0a8d9e0chunk-f1a4fbcf1ed86864b9bfd5e8dba4c683'}> -2024-10-30 05:39:34,147 - lightrag - INFO - _do_upsert:query: - MERGE (n:`COLD WEATHER`) - SET n += $properties - RETURN n - :result:{'entity_type': '"GEO"', 'description': '"Cold Weather is noted in the conversation between the businessmen, serving as a backdrop to their trivial interactions.""Cold Weather sets the bleak and unforgiving atmosphere, reflecting Scrooge’s own personality and state of mind.""Cold Weather sets the bleak and unforgiving atmosphere, reflecting Scrooge’s own personality and state of mind."', 'source_id': 'chunk-74e2466de2f67fd710ef2f20c0a8d9e0chunk-f1a4fbcf1ed86864b9bfd5e8dba4c683'} -2024-10-30 05:39:34,280 - lightrag - INFO - get_node:query:MATCH (n:`FOG`) RETURN n:result:"Fog is a weather phenomenon that adds to the bleak atmosphere, reflecting the obscurity and confusion in Scrooge\'s life.""Fog represents the obscured visibility and confusion in Scrooge\'s surroundings, enhancing the atmosphere of uncertainty and apprehension.""Fog represents the obscurity and isolation in the environment, mirroring Scrooge’s emotional distance and isolation from society."', 'source_id': 'chunk-74e2466de2f67fd710ef2f20c0a8d9e0chunk-d9aac3484185ac66045df92214d245d5chunk-c7b10789a9cb0af6c553730b29bd9034'}> -2024-10-30 05:39:34,417 - lightrag - INFO - _do_upsert:query: - MERGE (n:`FOG`) - SET n += $properties - RETURN n - :result:{'entity_type': '"GEO"', 'description': '"Fog is a weather condition mentioned that enhances the dreary atmosphere surrounding Scrooge\'s home and workplace.""Fog is a weather phenomenon that adds to the bleak atmosphere, reflecting the obscurity and confusion in Scrooge\'s life.""Fog represents the obscured visibility and confusion in Scrooge\'s surroundings, enhancing the atmosphere of uncertainty and apprehension.""Fog represents the obscurity and isolation in the environment, mirroring Scrooge’s emotional distance and isolation from society.""Fog represents the obscured visibility and confusion in Scrooge\'s surroundings, enhancing the atmosphere of uncertainty and apprehension.""Fog represents the obscurity and isolation in the environment, mirroring Scrooge’s emotional distance and isolation from society."', 'source_id': 'chunk-74e2466de2f67fd710ef2f20c0a8d9e0chunk-c7b10789a9cb0af6c553730b29bd9034chunk-d9aac3484185ac66045df92214d245d5'} -2024-10-30 05:39:34,555 - lightrag - INFO - get_node:query:MATCH (n:`COURT`) RETURN n:result: -2024-10-30 05:39:34,701 - lightrag - INFO - _do_upsert:query: - MERGE (n:`COURT`) - SET n += $properties - RETURN n - :result:{'entity_type': '"GEO"', 'description': '"The Court is a location described as a space outside Scrooge\'s office where people pass by, emphasizing the contrast between Scrooge\'s inside world and the outside social interactions."', 'source_id': 'chunk-74e2466de2f67fd710ef2f20c0a8d9e0'} -2024-10-30 05:39:34,834 - lightrag - INFO - get_node:query:MATCH (n:`SCROOGE AND MARLEY'S`) RETURN n:result: -2024-10-30 05:39:34,974 - lightrag - INFO - _do_upsert:query: - MERGE (n:`SCROOGE AND MARLEY'S`) - SET n += $properties - RETURN n - :result:{'entity_type': '"ORGANIZATION"', 'description': '"Scrooge and Marley\'s is the name of the business run by Scrooge, signifying a partnership that existed before Marley’s death."', 'source_id': 'chunk-5dac41b3f9eeaf794f0147400b1718cd'} -2024-10-30 05:39:35,110 - lightrag - INFO - get_node:query:MATCH (n:`CLERK`) RETURN n:result:"The Clerk is an unnamed character who serves Scrooge, exhibiting a hopeful disposition despite Scrooge\'s ill-tempered management."', 'source_id': 'chunk-5dac41b3f9eeaf794f0147400b1718cdchunk-d9aac3484185ac66045df92214d245d5'}> -2024-10-30 05:39:35,248 - lightrag - INFO - _do_upsert:query: - MERGE (n:`CLERK`) - SET n += $properties - RETURN n - :result:{'entity_type': '"PERSON"', 'description': '"The Clerk is a minor character who provides a contrast to Scrooge\'s character, expressing warmth and kindness during the holiday season.""The Clerk is a minor character who provides a contrast to Scrooge\'s character, expressing warmth and kindness during the holiday season.""The Clerk is an unnamed character who serves Scrooge, exhibiting a hopeful disposition despite Scrooge\'s ill-tempered management."', 'source_id': 'chunk-d9aac3484185ac66045df92214d245d5chunk-5dac41b3f9eeaf794f0147400b1718cd'} -2024-10-30 05:39:35,387 - lightrag - INFO - get_node:query:MATCH (n:`THE GENTLEMEN`) RETURN n:result: -2024-10-30 05:39:35,523 - lightrag - INFO - _do_upsert:query: - MERGE (n:`THE GENTLEMEN`) - SET n += $properties - RETURN n - :result:{'entity_type': '"ORGANIZATION"', 'description': '"The Gentlemen are portrayed as representatives who arrive at Scrooge\'s office to collect donations for the poor during Christmas."', 'source_id': 'chunk-5dac41b3f9eeaf794f0147400b1718cd'} -2024-10-30 05:39:35,662 - lightrag - INFO - get_node:query:MATCH (n:`POOR AND DESTITUTE`) RETURN n:result: -2024-10-30 05:39:35,802 - lightrag - INFO - _do_upsert:query: - MERGE (n:`POOR AND DESTITUTE`) - SET n += $properties - RETURN n - :result:{'entity_type': '"CONCEPT"', 'description': '"The Poor and Destitute refer to those in need, highlighting the themes of charity and social responsibility that are emphasized during the Christmas season."', 'source_id': 'chunk-5dac41b3f9eeaf794f0147400b1718cd'} -2024-10-30 05:39:35,935 - lightrag - INFO - get_node:query:MATCH (n:`CHRISTMAS-TIME`) RETURN n:result:"Christmas-time is characterized as a period filled with festivities, joy, and community engagement, which Scrooge regards cynically.""Christmas-time represents the festive season, a recurring theme that evokes memories and emotions in Scrooge’s reflections.""Christmas-time serves as a backdrop for the narrative, emphasizing themes of reflection, mortality, and social interactions.""Christmas-time symbolizes a period of joy and reunion, characterized by scenes of celebration and warmth in the story."', 'source_id': 'chunk-c6c248858d1b13ab7ee9ca13c1aeed6bchunk-5dac41b3f9eeaf794f0147400b1718cdchunk-f1a4fbcf1ed86864b9bfd5e8dba4c683'}> -2024-10-30 05:39:36,073 - lightrag - INFO - _do_upsert:query: - MERGE (n:`CHRISTMAS-TIME`) - SET n += $properties - RETURN n - :result:{'entity_type': '"EVENT"', 'description': '"Christmas-Time refers to the period surrounding Christmas, laden with connotations of joy, generosity, and family gatherings, which Scrooge vehemently criticizes.""Christmas-Time refers to the period surrounding Christmas, laden with connotations of joy, generosity, and family gatherings, which Scrooge vehemently criticizes.""Christmas-time is characterized as a period filled with festivities, joy, and community engagement, which Scrooge regards cynically.""Christmas-time represents the festive season, a recurring theme that evokes memories and emotions in Scrooge’s reflections.""Christmas-time serves as a backdrop for the narrative, emphasizing themes of reflection, mortality, and social interactions.""Christmas-time symbolizes a period of joy and reunion, characterized by scenes of celebration and warmth in the story.""Christmas-time symbolizes a period of joy and reunion, characterized by scenes of celebration and warmth in the story."', 'source_id': 'chunk-c6c248858d1b13ab7ee9ca13c1aeed6bchunk-f1a4fbcf1ed86864b9bfd5e8dba4c683chunk-5dac41b3f9eeaf794f0147400b1718cd'} -2024-10-30 05:39:36,207 - lightrag - INFO - get_node:query:MATCH (n:`BEDLAM`) RETURN n:result:"Bedlam is referenced as a metaphorical place for madness, illustrating Scrooge\'s disdain for the cheerful nature of Christmas and his sense of isolation."', 'source_id': 'chunk-5dac41b3f9eeaf794f0147400b1718cd'}> -2024-10-30 05:39:36,351 - lightrag - INFO - _do_upsert:query: - MERGE (n:`BEDLAM`) - SET n += $properties - RETURN n - :result:{'entity_type': '"GEO"', 'description': '"Bedlam is referenced as a metaphorical expression of madness, illustrating Scrooge\'s disdain for cheerful attitudes he finds absurd.""Bedlam is referenced as a metaphorical expression of madness, illustrating Scrooge\'s disdain for cheerful attitudes he finds absurd.""Bedlam is referenced as a metaphorical place for madness, illustrating Scrooge\'s disdain for the cheerful nature of Christmas and his sense of isolation."', 'source_id': 'chunk-5dac41b3f9eeaf794f0147400b1718cd'} -2024-10-30 05:39:36,488 - lightrag - INFO - get_node:query:MATCH (n:`THE GENTLEMAN`) RETURN n:result:"The Gentleman is a character who advocates for helping the poor and trying to raise a fund for those in need during Christmas."', 'source_id': 'chunk-90d5764e301321c087f5a8f78b73a145'}> -2024-10-30 05:39:36,630 - lightrag - INFO - _do_upsert:query: - MERGE (n:`THE GENTLEMAN`) - SET n += $properties - RETURN n - :result:{'entity_type': '"PERSON"', 'description': '"The Gentleman is a character attempting to persuade Scrooge to contribute to charity for the poor during Christmas.""The Gentleman is a character attempting to persuade Scrooge to contribute to charity for the poor during Christmas.""The Gentleman is a character who advocates for helping the poor and trying to raise a fund for those in need during Christmas."', 'source_id': 'chunk-90d5764e301321c087f5a8f78b73a145'} -2024-10-30 05:39:36,766 - lightrag - INFO - get_node:query:MATCH (n:`THE POOR LAW`) RETURN n:result: -2024-10-30 05:39:36,912 - lightrag - INFO - _do_upsert:query: - MERGE (n:`THE POOR LAW`) - SET n += $properties - RETURN n - :result:{'entity_type': '"ORGANIZATION"', 'description': '"The Poor Law refers to a governmental system in place intended to support the impoverished, which Scrooge references to indicate his views on responsibility and charity."', 'source_id': 'chunk-90d5764e301321c087f5a8f78b73a145'} -2024-10-30 05:39:37,049 - lightrag - INFO - get_node:query:MATCH (n:`THE UNION WORKHOUSES`) RETURN n:result:"The Union Workhouses are institutions mentioned as a means of supporting the poor, still operational during Scrooge\'s time."', 'source_id': 'chunk-90d5764e301321c087f5a8f78b73a145'}> -2024-10-30 05:39:37,188 - lightrag - INFO - _do_upsert:query: - MERGE (n:`THE UNION WORKHOUSES`) - SET n += $properties - RETURN n - :result:{'entity_type': '"ORGANIZATION"', 'description': '"The Union Workhouses are facilities that provide aid to the poor, still operational as confirmed by the Gentleman during the discussion with Scrooge.""The Union Workhouses are facilities that provide aid to the poor, still operational as confirmed by the Gentleman during the discussion with Scrooge.""The Union Workhouses are institutions mentioned as a means of supporting the poor, still operational during Scrooge\'s time."', 'source_id': 'chunk-90d5764e301321c087f5a8f78b73a145'} -2024-10-30 05:39:37,321 - lightrag - INFO - get_node:query:MATCH (n:`THE MANSION HOUSE`) RETURN n:result:"The Mansion House is the official residence of the Lord Mayor, where festive preparations for Christmas are being made."', 'source_id': 'chunk-90d5764e301321c087f5a8f78b73a145'}> -2024-10-30 05:39:37,457 - lightrag - INFO - _do_upsert:query: - MERGE (n:`THE MANSION HOUSE`) - SET n += $properties - RETURN n - :result:{'entity_type': '"LOCATION"', 'description': '"The Mansion House is identified as the residence of the Lord Mayor, a place associated with Christmas festivities and order.""The Mansion House is the official residence of the Lord Mayor, where festive preparations for Christmas are being made.""The Mansion House is the official residence of the Lord Mayor, where festive preparations for Christmas are being made."', 'source_id': 'chunk-90d5764e301321c087f5a8f78b73a145'} -2024-10-30 05:39:37,592 - lightrag - INFO - get_node:query:MATCH (n:`THE POOR`) RETURN n:result:"The Poor refers to the individuals in society who are destitute and in need of assistance, often highlighted in discussions about charity during Christmas."', 'source_id': 'chunk-90d5764e301321c087f5a8f78b73a145'}> -2024-10-30 05:39:37,730 - lightrag - INFO - _do_upsert:query: - MERGE (n:`THE POOR`) - SET n += $properties - RETURN n - :result:{'entity_type': '"PERSON"', 'description': '"The Poor refer to those individuals in society who face economic hardship and are in need of help, as indicated by their absence from the workhouses and their desperate circumstances during the festive season.""The Poor refer to those individuals in society who face economic hardship and are in need of help, as indicated by their absence from the workhouses and their desperate circumstances during the festive season.""The Poor refers to the individuals in society who are destitute and in need of assistance, often highlighted in discussions about charity during Christmas."', 'source_id': 'chunk-90d5764e301321c087f5a8f78b73a145'} -2024-10-30 05:39:37,866 - lightrag - INFO - get_node:query:MATCH (n:`SCROOGE'S COUNTING-HOUSE`) RETURN n:result: -2024-10-30 05:39:38,003 - lightrag - INFO - _do_upsert:query: - MERGE (n:`SCROOGE'S COUNTING-HOUSE`) - SET n += $properties - RETURN n - :result:{'entity_type': '"LOCATION"', 'description': '"Scrooge\'s Counting-House is the workspace of Scrooge where he conducts his business, symbolizing his frugality and solitary nature."', 'source_id': 'chunk-90d5764e301321c087f5a8f78b73a145'} -2024-10-30 05:39:38,135 - lightrag - INFO - get_node:query:MATCH (n:`THE LORD MAYOR`) RETURN n:result:"The Lord Mayor oversees the festivities during Christmas at the Mansion House, representing authority and public celebration."', 'source_id': 'chunk-90d5764e301321c087f5a8f78b73a145'}> -2024-10-30 05:39:38,272 - lightrag - INFO - _do_upsert:query: - MERGE (n:`THE LORD MAYOR`) - SET n += $properties - RETURN n - :result:{'entity_type': '"PERSON"', 'description': '"The Lord Mayor is a civic leader responsible for overseeing Christmas festivities and ensuring proper celebrations in the town.""The Lord Mayor oversees the festivities during Christmas at the Mansion House, representing authority and public celebration.""The Lord Mayor oversees the festivities during Christmas at the Mansion House, representing authority and public celebration."', 'source_id': 'chunk-90d5764e301321c087f5a8f78b73a145'} -2024-10-30 05:39:38,408 - lightrag - INFO - get_node:query:MATCH (n:`CHRISTMAS PUDDING`) RETURN n:result:"The Christmas Pudding is a significant dish prepared by Mrs. Cratchit, symbolizing the family\'s festive celebration and unity."', 'source_id': 'chunk-503f0bfa5453467c7c61d160a3540ecachunk-90d5764e301321c087f5a8f78b73a145'}> -2024-10-30 05:39:38,543 - lightrag - INFO - _do_upsert:query: - MERGE (n:`CHRISTMAS PUDDING`) - SET n += $properties - RETURN n - :result:{'entity_type': '"EVENT"', 'description': '"Christmas Pudding is a dish being prepared for the festive celebration, embodying the spirit of Christmas and family gatherings.""Christmas Pudding is a dish being prepared for the festive celebration, embodying the spirit of Christmas and family gatherings.""The Christmas Pudding is a significant dish prepared by Mrs. Cratchit, symbolizing the family\'s festive celebration and unity."', 'source_id': 'chunk-503f0bfa5453467c7c61d160a3540ecachunk-90d5764e301321c087f5a8f78b73a145'} -2024-10-30 05:39:38,677 - lightrag - INFO - get_node:query:MATCH (n:`THE GAS-PIPES`) RETURN n:result:"The Gas-pipes are mentioned as undergoing repairs in The Main Street, indicating the infrastructure\'s role in the community during winter."', 'source_id': 'chunk-90d5764e301321c087f5a8f78b73a145'}> -2024-10-30 05:39:38,820 - lightrag - INFO - _do_upsert:query: - MERGE (n:`THE GAS-PIPES`) - SET n += $properties - RETURN n - :result:{'entity_type': '"ORGANIZATION"', 'description': '"The Gas-Pipes represent the infrastructure of the city, which signifies the industrial and economic activity during the cold winter season.""The Gas-Pipes represent the infrastructure of the city, which signifies the industrial and economic activity during the cold winter season.""The Gas-pipes are mentioned as undergoing repairs in The Main Street, indicating the infrastructure\'s role in the community during winter."', 'source_id': 'chunk-90d5764e301321c087f5a8f78b73a145'} -2024-10-30 05:39:38,956 - lightrag - INFO - get_node:query:MATCH (n:`THE CHURCH`) RETURN n:result:"The Church is a place Scrooge visits, indicating his desire to engage in the Christmas spirit and community.""The Church is a place referenced in the context of the community\'s sentiments toward Christmas and social welfare."', 'source_id': 'chunk-cb661c37436355ccec2769b1d0350c5fchunk-8f738cb25d60a7dab782162d9d0a25edchunk-90d5764e301321c087f5a8f78b73a145'}> -2024-10-30 05:39:39,094 - lightrag - INFO - _do_upsert:query: - MERGE (n:`THE CHURCH`) - SET n += $properties - RETURN n - :result:{'entity_type': '"ORGANIZATION"', 'description': '"The Church is a location from where the clock chimes are heard, marking the passage of time and contributing to the atmosphere of the scene.""The Church is a location from where the clock chimes are heard, marking the passage of time and contributing to the atmosphere of the scene.""The Church is a place Scrooge visits, indicating his desire to engage in the Christmas spirit and community.""The Church is a place referenced in the context of the community\'s sentiments toward Christmas and social welfare.""The Church is a place referenced in the context of the community\'s sentiments toward Christmas and social welfare."', 'source_id': 'chunk-8f738cb25d60a7dab782162d9d0a25edchunk-cb661c37436355ccec2769b1d0350c5fchunk-90d5764e301321c087f5a8f78b73a145'} -2024-10-30 05:39:39,231 - lightrag - INFO - get_node:query:MATCH (n:`THE CRATCHIT FAMILY`) RETURN n:result:"The Cratchit Family consists of Bob, Mrs. Cratchit, and their children, highlighting themes of familial love and support amidst hardship.""The Cratchit Family is a close-knit family depicted in the text, characterized by love and warmth, celebrating Christmas together despite their difficulties.""The Cratchit Family represents a typical struggling family in the text, highlighting the theme of social disparity during Christmas."', 'source_id': 'chunk-503f0bfa5453467c7c61d160a3540ecachunk-1d4b58de5429cd1261370c231c8673e8chunk-90d5764e301321c087f5a8f78b73a145'}> -2024-10-30 05:39:39,367 - lightrag - INFO - _do_upsert:query: - MERGE (n:`THE CRATCHIT FAMILY`) - SET n += $properties - RETURN n - :result:{'entity_type': '"ORGANIZATION"', 'description': '"The Cratchit Family consists of Bob, Mrs. Cratchit, Tiny Tim, and their children, characterized by their strong familial bonds and love for one another despite financial struggles.""The Cratchit Family consists of Bob, Mrs. Cratchit, Tiny Tim, and their children, characterized by their strong familial bonds and love for one another despite financial struggles.""The Cratchit Family consists of Bob, Mrs. Cratchit, and their children, highlighting themes of familial love and support amidst hardship.""The Cratchit Family is a close-knit family depicted in the text, characterized by love and warmth, celebrating Christmas together despite their difficulties.""The Cratchit Family represents a typical struggling family in the text, highlighting the theme of social disparity during Christmas.""The Cratchit Family is a close-knit family depicted in the text, characterized by love and warmth, celebrating Christmas together despite their difficulties.""The Cratchit Family represents a typical struggling family in the text, highlighting the theme of social disparity during Christmas."', 'source_id': 'chunk-503f0bfa5453467c7c61d160a3540ecachunk-1d4b58de5429cd1261370c231c8673e8chunk-90d5764e301321c087f5a8f78b73a145'} -2024-10-30 05:39:39,502 - lightrag - INFO - get_node:query:MATCH (n:`CHRISTMAS EVE`) RETURN n:result:"Christmas Eve is depicted as a significant time, bringing about joyful activities like sliding down snow hills, contrasting with Scrooge\'s dour demeanor.""Christmas Eve is the night before Christmas, serving as the backdrop for the lively celebrations and dances hosted by Fezziwig.""Christmas Eve is the specific time setting in the story, highlighting the contrast between the joy of the holiday and Scrooge\'s negativity.""Christmas Eve is the day prior to Christmas, a time that carries festive significance and anticipation in the narrative."', 'source_id': 'chunk-74e2466de2f67fd710ef2f20c0a8d9e0chunk-8bc1edd983869352d14cf0886a9175a7chunk-d9aac3484185ac66045df92214d245d5'}> -2024-10-30 05:39:39,642 - lightrag - INFO - _do_upsert:query: - MERGE (n:`CHRISTMAS EVE`) - SET n += $properties - RETURN n - :result:{'entity_type': '"EVENT"', 'description': '"Christmas Eve is a significant time in the story, marked by celebrations and gatherings led by Fezziwig.""Christmas Eve is a significant time in the story, marked by celebrations and gatherings led by Fezziwig.""Christmas Eve is depicted as a significant time, bringing about joyful activities like sliding down snow hills, contrasting with Scrooge\'s dour demeanor.""Christmas Eve is the night before Christmas, serving as the backdrop for the lively celebrations and dances hosted by Fezziwig.""Christmas Eve is the specific time setting in the story, highlighting the contrast between the joy of the holiday and Scrooge\'s negativity.""Christmas Eve is the day prior to Christmas, a time that carries festive significance and anticipation in the narrative.""Christmas Eve is the day prior to Christmas, a time that carries festive significance and anticipation in the narrative."', 'source_id': 'chunk-74e2466de2f67fd710ef2f20c0a8d9e0chunk-8bc1edd983869352d14cf0886a9175a7chunk-d9aac3484185ac66045df92214d245d5'} -2024-10-30 05:39:39,779 - lightrag - INFO - get_node:query:MATCH (n:`CAMDEN TOWN`) RETURN n:result:"Camden Town is a location mentioned in relation to the logistics of transporting a large turkey.""Camden Town is a location where Bob Cratchit runs home to celebrate Christmas Eve, representing a more joyful and lively setting.""Camden Town is mentioned as a location related to the transportation of a turkey in a humorous context during the holiday season."', 'source_id': 'chunk-d9aac3484185ac66045df92214d245d5chunk-8f738cb25d60a7dab782162d9d0a25ed'}> -2024-10-30 05:39:39,917 - lightrag - INFO - _do_upsert:query: - MERGE (n:`CAMDEN TOWN`) - SET n += $properties - RETURN n - :result:{'entity_type': '"GEO"', 'description': '"Camden Town is a location mentioned as Bob Cratchit\'s home, highlighting the setting of his personal life.""Camden Town is a location mentioned as Bob Cratchit\'s home, highlighting the setting of his personal life.""Camden Town is a location mentioned in relation to the logistics of transporting a large turkey.""Camden Town is a location where Bob Cratchit runs home to celebrate Christmas Eve, representing a more joyful and lively setting.""Camden Town is mentioned as a location related to the transportation of a turkey in a humorous context during the holiday season.""Camden Town is mentioned as a location related to the transportation of a turkey in a humorous context during the holiday season."', 'source_id': 'chunk-8f738cb25d60a7dab782162d9d0a25edchunk-d9aac3484185ac66045df92214d245d5'} -2024-10-30 05:39:40,053 - lightrag - INFO - get_node:query:MATCH (n:`THE COUNTING-HOUSE`) RETURN n:result:"The Counting-House is where Scrooge works and is characterized by its cold and unwelcoming environment.""The Counting-House is the place where Scrooge works, reflecting a business environment lacking warmth or joy."', 'source_id': 'chunk-74e2466de2f67fd710ef2f20c0a8d9e0chunk-d9aac3484185ac66045df92214d245d5'}> -2024-10-30 05:39:40,191 - lightrag - INFO - _do_upsert:query: - MERGE (n:`THE COUNTING-HOUSE`) - SET n += $properties - RETURN n - :result:{'entity_type': '"ORGANIZATION"', 'description': '"The Counting-House is Scrooge\'s place of work, characterized by a gloomy demeanor and an atmosphere that reflects Scrooge\'s character.""The Counting-House is where Scrooge works and is characterized by its cold and unwelcoming environment.""The Counting-House is the place where Scrooge works, reflecting a business environment lacking warmth or joy.""The Counting-House is the place where Scrooge works, reflecting a business environment lacking warmth or joy."', 'source_id': 'chunk-74e2466de2f67fd710ef2f20c0a8d9e0chunk-d9aac3484185ac66045df92214d245d5'} -2024-10-30 05:39:40,329 - lightrag - INFO - get_node:query:MATCH (n:`THE KNOCKER`) RETURN n:result:"The Knocker is a physical object that becomes a symbol of Scrooge\'s psyche, transforming into Marley\'s face, representing his guilt and past.""The Knocker is an ornate door knocker that Scrooge admires, reflecting his newfound appreciation for simple joys.""The Knocker on the door serves as a symbolic gateway to the supernatural events, being the first point of eerie interaction for Scrooge.""The Knocker is a physical object that symbolizes Scrooge\'s newfound appreciation for the simple, honest joys of life during Christmas."', 'source_id': 'chunk-9c43dac2fcd5b578242d907ea6f8fc7bchunk-d9aac3484185ac66045df92214d245d5chunk-8f738cb25d60a7dab782162d9d0a25ed'}> -2024-10-30 05:39:40,470 - lightrag - INFO - _do_upsert:query: - MERGE (n:`THE KNOCKER`) - SET n += $properties - RETURN n - :result:{'entity_type': '"ORGANIZATION"', 'description': '"The Knocker is a feature on Scrooge\'s door, which takes on a mystical quality when Scrooge perceives Marley\'s face in it.""The Knocker is a feature on Scrooge\'s door, which takes on a mystical quality when Scrooge perceives Marley\'s face in it.""The Knocker is a physical object that becomes a symbol of Scrooge\'s psyche, transforming into Marley\'s face, representing his guilt and past.""The Knocker is an ornate door knocker that Scrooge admires, reflecting his newfound appreciation for simple joys.""The Knocker on the door serves as a symbolic gateway to the supernatural events, being the first point of eerie interaction for Scrooge.""The Knocker is a physical object that symbolizes Scrooge\'s newfound appreciation for the simple, honest joys of life during Christmas.""The Knocker is a physical object that symbolizes Scrooge\'s newfound appreciation for the simple, honest joys of life during Christmas."', 'source_id': 'chunk-8f738cb25d60a7dab782162d9d0a25edchunk-d9aac3484185ac66045df92214d245d5chunk-9c43dac2fcd5b578242d907ea6f8fc7b'} -2024-10-30 05:39:40,603 - lightrag - INFO - get_node:query:MATCH (n:`THE COUNTING-HOUSE CLERK`) RETURN n:result: -2024-10-30 05:39:40,742 - lightrag - INFO - _do_upsert:query: - MERGE (n:`THE COUNTING-HOUSE CLERK`) - SET n += $properties - RETURN n - :result:{'entity_type': '"PERSON"', 'description': '"The Counting-House Clerk is an unnamed character who interacts with Scrooge, representing the workforce under Scrooge\'s employment."', 'source_id': 'chunk-d9aac3484185ac66045df92214d245d5'} -2024-10-30 05:39:40,881 - lightrag - INFO - get_node:query:MATCH (n:`THE CANDLE`) RETURN n:result:"The Candle represents a source of light in Scrooge\'s dark life, emphasizing the contrast between warmth and isolation."', 'source_id': 'chunk-9c43dac2fcd5b578242d907ea6f8fc7bchunk-d9aac3484185ac66045df92214d245d5'}> -2024-10-30 05:39:41,017 - lightrag - INFO - _do_upsert:query: - MERGE (n:`THE CANDLE`) - SET n += $properties - RETURN n - :result:{'entity_type': '"TECHNOLOGY"', 'description': '"The Candle is a source of light that Scrooge lights as he enters his home, symbolizing the struggle against darkness and isolation.""The Candle is a source of light that Scrooge lights as he enters his home, symbolizing the struggle against darkness and isolation.""The Candle represents a source of light in Scrooge\'s dark life, emphasizing the contrast between warmth and isolation."', 'source_id': 'chunk-d9aac3484185ac66045df92214d245d5chunk-9c43dac2fcd5b578242d907ea6f8fc7b'} -2024-10-30 05:39:41,149 - lightrag - INFO - get_node:query:MATCH (n:`THE YARD`) RETURN n:result: -2024-10-30 05:39:41,286 - lightrag - INFO - _do_upsert:query: - MERGE (n:`THE YARD`) - SET n += $properties - RETURN n - :result:{'entity_type': '"GEO"', 'description': '"The Yard refers to the dark and gloomy space behind Scrooge\'s residence, creating an atmosphere of loneliness and despair."', 'source_id': 'chunk-d9aac3484185ac66045df92214d245d5'} -2024-10-30 05:39:41,418 - lightrag - INFO - get_node:query:MATCH (n:`THE FOG AND FROST`) RETURN n:result: -2024-10-30 05:39:41,557 - lightrag - INFO - _do_upsert:query: - MERGE (n:`THE FOG AND FROST`) - SET n += $properties - RETURN n - :result:{'entity_type': '"CONCEPT"', 'description': '"The Fog and Frost symbolize the coldness and obscurity surrounding Scrooge\'s life and mindset, enhancing the gloomy atmosphere."', 'source_id': 'chunk-d9aac3484185ac66045df92214d245d5'} -2024-10-30 05:39:41,689 - lightrag - INFO - get_node:query:MATCH (n:`THE GHOST OF MARLEY`) RETURN n:result:"The Ghost of Marley refers to the apparition that appears to Scrooge, serving as a catalyst for his transformation and moral reckoning."', 'source_id': 'chunk-d9aac3484185ac66045df92214d245d5'}> -2024-10-30 05:39:41,827 - lightrag - INFO - _do_upsert:query: - MERGE (n:`THE GHOST OF MARLEY`) - SET n += $properties - RETURN n - :result:{'entity_type': '"EVENT"', 'description': '"The Ghost of Marley is an event that is anticipated in the narrative, representing Scrooge\'s confrontation with his past and the supernatural.""The Ghost of Marley refers to the apparition that appears to Scrooge, serving as a catalyst for his transformation and moral reckoning.""The Ghost of Marley refers to the apparition that appears to Scrooge, serving as a catalyst for his transformation and moral reckoning."', 'source_id': 'chunk-d9aac3484185ac66045df92214d245d5'} -2024-10-30 05:39:41,962 - lightrag - INFO - get_node:query:MATCH (n:`LONDON`) RETURN n:result:"London serves as the general setting for the story, although its specific mention relates to an animal in the context of a game.""London serves as the geographical setting for the story, encapsulating the harsh winter atmosphere and the life of its inhabitants during the festive season.""London serves as the setting where the events take place, adding a cultural backdrop to the Christmas gathering.""London serves as the setting for the story, highlighting the bustling yet isolating environment in which Scrooge lives."', 'source_id': 'chunk-e7637ff18c5ded77a68cce0a87883fadchunk-d9aac3484185ac66045df92214d245d5chunk-43c9bee23adfa77aa9dedd22401bba7d'}> -2024-10-30 05:39:42,107 - lightrag - INFO - _do_upsert:query: - MERGE (n:`LONDON`) - SET n += $properties - RETURN n - :result:{'entity_type': '"GEO"', 'description': '"London is the city where the narrative takes place, representing a central location in the story.""London is the city where the narrative takes place, representing a central location in the story.""London serves as the general setting for the story, although its specific mention relates to an animal in the context of a game.""London serves as the geographical setting for the story, encapsulating the harsh winter atmosphere and the life of its inhabitants during the festive season.""London serves as the setting where the events take place, adding a cultural backdrop to the Christmas gathering.""London serves as the setting for the story, highlighting the bustling yet isolating environment in which Scrooge lives.""London serves as the general setting for the story, although its specific mention relates to an animal in the context of a game.""London serves as the setting for the story, highlighting the bustling yet isolating environment in which Scrooge lives."', 'source_id': 'chunk-43c9bee23adfa77aa9dedd22401bba7dchunk-d9aac3484185ac66045df92214d245d5chunk-e7637ff18c5ded77a68cce0a87883fad'} -2024-10-30 05:39:42,242 - lightrag - INFO - get_node:query:MATCH (n:`THE HOUSE`) RETURN n:result:"The House is the setting for the Christmas celebration and interactions among the characters, embodying warmth and family togetherness.""The House is the setting where Scrooge experiences the haunting, with a description of its features contributing to the eerie atmosphere."', 'source_id': 'chunk-9c43dac2fcd5b578242d907ea6f8fc7bchunk-da2472b4ef2a535b62908f14d0fb0ca9'}> -2024-10-30 05:39:42,378 - lightrag - INFO - _do_upsert:query: - MERGE (n:`THE HOUSE`) - SET n += $properties - RETURN n - :result:{'entity_type': '"GEO"', 'description': '"The House is the setting for Scrooge\'s encounters, characterized by its darkness, the creaking sounds, and the presence of the ghost.""The House is the setting for Scrooge\'s encounters, characterized by its darkness, the creaking sounds, and the presence of the ghost.""The House is the setting for the Christmas celebration and interactions among the characters, embodying warmth and family togetherness.""The House is the setting where Scrooge experiences the haunting, with a description of its features contributing to the eerie atmosphere."', 'source_id': 'chunk-da2472b4ef2a535b62908f14d0fb0ca9chunk-9c43dac2fcd5b578242d907ea6f8fc7b'} -2024-10-30 05:39:42,516 - lightrag - INFO - get_node:query:MATCH (n:`THE GHOST`) RETURN n:result:"The Ghost is a supernatural entity that shows Scrooge scenes from his past to provoke realization and remorse.""The Ghost refers specifically to the supernatural presence guiding Scrooge through his reflections and past experiences.""The Ghost represents the spirit of Jacob Marley, warning Scrooge about the aftereffects of neglecting human virtue and kindness during life.""The Ghost represents various spectral entities that visit Scrooge to facilitate his transformation by highlighting the consequences of his actions.""The Ghost serves as a guiding presence that helps Scrooge confront and reflect on his past during Christmas.""The Ghost is a supernatural being that interacts with Scrooge, helping him to confront his past and evoke emotions connected to Christmas.""The Ghost is a supernatural figure that guides Scrooge through his experiences, showing him the joys of family and the significance of Christmas.""The Ghost is described as a strange figure with qualities of both a child and an old man, representing the supernatural intervention in Scrooge\'s life.""The Ghost refers to the Spirit who guides Scrooge through his journey, embodying themes of change, redemption, and moral lessons.""The Ghost refers to the apparition of Marley, which instills dread in Scrooge and symbolizes the theme of redemption.""The Ghost represents a spectral figure guiding Scrooge through his past, serving as a catalyst for self-reflection and transformation.""The Ghost represents a supernatural entity that shows Scrooge various scenes from his life, influencing his emotional state and ultimate redemption.""The Ghost represents the specter of Jacob Marley, who visits Scrooge to deliver an important message regarding his life and the impending visits of three spirits.""The Ghost serves as a supernatural guide for Scrooge, revealing lessons about kindness, death, and the emotional repercussions of one\'s actions."', 'source_id': 'chunk-e7637ff18c5ded77a68cce0a87883fadchunk-c7b10789a9cb0af6c553730b29bd9034chunk-c6c248858d1b13ab7ee9ca13c1aeed6bchunk-83ac129dc9b56f84c46760d153d68e93chunk-8590d9263cd2cd4fa583c432fc54e6c3chunk-43c9bee23adfa77aa9dedd22401bba7dchunk-da2472b4ef2a535b62908f14d0fb0ca9chunk-02baee20cc9463dbe08170a8e1043e32chunk-359187e7571bda4b0b08b2e0b6581e52chunk-54bdd22db1f84a965b5f4c06c9216d8dchunk-1aa50206d02ed89418f65f97c6441d1cchunk-cb661c37436355ccec2769b1d0350c5fchunk-9c43dac2fcd5b578242d907ea6f8fc7b'}> -2024-10-30 05:39:42,519 - lightrag - DEBUG - Trigger summary: "THE GHOST" -2024-10-30 05:39:42,623 - lightrag - INFO - get_node:query:MATCH (n:`THE BELL`) RETURN n:result:"The Bell is described as a disused bell that starts to swing and ring during the haunting, signifying the onset of supernatural occurrences.""The Bell is a disused bell in Scrooge\'s room, which begins to swing and rings out loudly, heralding the appearance of Marley\'s Ghost."', 'source_id': 'chunk-cb661c37436355ccec2769b1d0350c5fchunk-9c43dac2fcd5b578242d907ea6f8fc7b'}> -2024-10-30 05:39:42,760 - lightrag - INFO - _do_upsert:query: - MERGE (n:`THE BELL`) - SET n += $properties - RETURN n - :result:{'entity_type': '"GEO"', 'description': '"The Bell is a church bell that signifies the time passing and marks the moments of Scrooge\'s encounters with the ghosts.""The Bell is described as a disused bell that starts to swing and ring during the haunting, signifying the onset of supernatural occurrences.""The Bell is a disused bell in Scrooge\'s room, which begins to swing and rings out loudly, heralding the appearance of Marley\'s Ghost.""The Bell is a disused bell in Scrooge\'s room, which begins to swing and rings out loudly, heralding the appearance of Marley\'s Ghost."', 'source_id': 'chunk-cb661c37436355ccec2769b1d0350c5fchunk-9c43dac2fcd5b578242d907ea6f8fc7b'} -2024-10-30 05:39:42,896 - lightrag - INFO - get_node:query:MATCH (n:`THE WINE-MERCHANT'S CELLAR`) RETURN n:result:"The Wine-Merchant\'s Cellar is a location within The House where sounds of dragging chains are heard, signifying a haunted presence."', 'source_id': 'chunk-9c43dac2fcd5b578242d907ea6f8fc7b'}> -2024-10-30 05:39:43,034 - lightrag - INFO - _do_upsert:query: - MERGE (n:`THE WINE-MERCHANT'S CELLAR`) - SET n += $properties - RETURN n - :result:{'entity_type': '"GEO"', 'description': '"The Wine-Merchant\'s Cellar is a location that holds significance in the story, where sounds of dragging chains are heard, adding to the ghostly ambiance.""The Wine-Merchant\'s Cellar is a location within The House where sounds of dragging chains are heard, signifying a haunted presence.""The Wine-Merchant\'s Cellar is a location within The House where sounds of dragging chains are heard, signifying a haunted presence."', 'source_id': 'chunk-9c43dac2fcd5b578242d907ea6f8fc7b'} -2024-10-30 05:39:43,169 - lightrag - INFO - get_node:query:MATCH (n:`THE DYING FLAME`) RETURN n:result:"The Dying Flame signifies the waning spirit of Scrooge, momentarily invigorated by the arrival of the ghost as a metaphor for his fading humanity."', 'source_id': 'chunk-9c43dac2fcd5b578242d907ea6f8fc7bchunk-1aa50206d02ed89418f65f97c6441d1c'}> -2024-10-30 05:39:43,308 - lightrag - INFO - _do_upsert:query: - MERGE (n:`THE DYING FLAME`) - SET n += $properties - RETURN n - :result:{'entity_type': '"CONCEPT"', 'description': '"The Dying Flame represents the fear and uncertainty in Scrooge as it reacts to the presence of Marley’s Ghost, adding to the eerie atmosphere.""The Dying Flame represents the fear and uncertainty in Scrooge as it reacts to the presence of Marley’s Ghost, adding to the eerie atmosphere.""The Dying Flame signifies the waning spirit of Scrooge, momentarily invigorated by the arrival of the ghost as a metaphor for his fading humanity.""The Dying Flame signifies the waning spirit of Scrooge, momentarily invigorated by the arrival of the ghost as a metaphor for his fading humanity."', 'source_id': 'chunk-1aa50206d02ed89418f65f97c6441d1cchunk-9c43dac2fcd5b578242d907ea6f8fc7b'} -2024-10-30 05:39:43,441 - lightrag - INFO - get_node:query:MATCH (n:`THE GRATE`) RETURN n:result:"The Grate is part of Scrooge\'s room where a small fire burns, contributing to the bleak and cold atmosphere of his setting."', 'source_id': 'chunk-9c43dac2fcd5b578242d907ea6f8fc7b'}> -2024-10-30 05:39:43,580 - lightrag - INFO - _do_upsert:query: - MERGE (n:`THE GRATE`) - SET n += $properties - RETURN n - :result:{'entity_type': '"GEO"', 'description': '"The Grate is a small fire in Scrooge\'s room that provides meager warmth, symbolizing Scrooge\'s cold disposition.""The Grate is a small fire in Scrooge\'s room that provides meager warmth, symbolizing Scrooge\'s cold disposition.""The Grate is part of Scrooge\'s room where a small fire burns, contributing to the bleak and cold atmosphere of his setting."', 'source_id': 'chunk-9c43dac2fcd5b578242d907ea6f8fc7b'} -2024-10-30 05:39:43,716 - lightrag - INFO - get_node:query:MATCH (n:`SCROOGE'S DRESSING-GOWN`) RETURN n:result: -2024-10-30 05:39:43,856 - lightrag - INFO - _do_upsert:query: - MERGE (n:`SCROOGE'S DRESSING-GOWN`) - SET n += $properties - RETURN n - :result:{'entity_type': '"CONCEPT"', 'description': '"Scrooge\'s Dressing-Gown represents his reluctance to engage with the world outside, emphasizing his isolation and contentment with solitude."', 'source_id': 'chunk-9c43dac2fcd5b578242d907ea6f8fc7b'} -2024-10-30 05:39:43,989 - lightrag - INFO - get_node:query:MATCH (n:`GRUE`) RETURN n:result: -2024-10-30 05:39:44,126 - lightrag - INFO - _do_upsert:query: - MERGE (n:`GRUE`) - SET n += $properties - RETURN n - :result:{'entity_type': '"GEO"', 'description': '"Grue is the small saucepan of gruel prepared by Scrooge, indicating his minimalistic lifestyle and frugality."', 'source_id': 'chunk-9c43dac2fcd5b578242d907ea6f8fc7b'} -2024-10-30 05:39:44,258 - lightrag - INFO - get_node:query:MATCH (n:`THE HEAVY CHAIN`) RETURN n:result: -2024-10-30 05:39:44,396 - lightrag - INFO - _do_upsert:query: - MERGE (n:`THE HEAVY CHAIN`) - SET n += $properties - RETURN n - :result:{'entity_type': '"CONCEPT"', 'description': '"The Heavy Chain is associated with the dragging noise heard by Scrooge, symbolizing the burdens of his past actions."', 'source_id': 'chunk-9c43dac2fcd5b578242d907ea6f8fc7b'} -2024-10-30 05:39:44,529 - lightrag - INFO - get_node:query:MATCH (n:`THE CASK`) RETURN n:result:"The Cask is part of the sounds emerging from the cellar, contributing to the eerie atmosphere surrounding Marley’s Ghost."', 'source_id': 'chunk-9c43dac2fcd5b578242d907ea6f8fc7b'}> -2024-10-30 05:39:44,674 - lightrag - INFO - _do_upsert:query: - MERGE (n:`THE CASK`) - SET n += $properties - RETURN n - :result:{'entity_type': '"GEO"', 'description': '"The Cask is part of the cellar, contributing to the sounds associated with Marley\'s Ghost and aiding in creating a sense of dread.""The Cask is part of the sounds emerging from the cellar, contributing to the eerie atmosphere surrounding Marley’s Ghost.""The Cask is part of the sounds emerging from the cellar, contributing to the eerie atmosphere surrounding Marley’s Ghost."', 'source_id': 'chunk-9c43dac2fcd5b578242d907ea6f8fc7b'} -2024-10-30 05:39:44,809 - lightrag - INFO - get_node:query:MATCH (n:`MARLEY'S GHOST`) RETURN n:result:"Marley\'s Ghost is a spectral figure who appears to Scrooge to warn him of the impending visits from three spirits, representing remorse for his past deeds.""Marley\'s Ghost is a spectral visitation that deeply troubles Scrooge and causes him great perplexity, leading him to question the reality of his experiences.""Marley\'s Ghost represents the supernatural apparition of Marley, who has been dead for seven years and symbolizes regret and warning to Scrooge.""Marley\'s Ghost is an unearthly visitor that appears to Scrooge, causing him to question the nature of reality and dreams.""Marley\'s Ghost is the spectral figure of Jacob Marley, who appears to forewarn Scrooge about his fate and the necessity of change in his life."', 'source_id': 'chunk-cb661c37436355ccec2769b1d0350c5fchunk-c7b10789a9cb0af6c553730b29bd9034chunk-9c43dac2fcd5b578242d907ea6f8fc7bchunk-1aa50206d02ed89418f65f97c6441d1c'}> -2024-10-30 05:39:44,949 - lightrag - INFO - _do_upsert:query: - MERGE (n:`MARLEY'S GHOST`) - SET n += $properties - RETURN n - :result:{'entity_type': '"EVENT"', 'description': '"Marley\'s Ghost is a spectral figure that represents Scrooge\'s past partner who has returned to convey a message, encapsulating themes of guilt and redemption.""Marley\'s Ghost is a spectral figure that represents Scrooge\'s past partner who has returned to convey a message, encapsulating themes of guilt and redemption.""Marley\'s Ghost is a spectral figure who appears to Scrooge to warn him of the impending visits from three spirits, representing remorse for his past deeds.""Marley\'s Ghost is a spectral visitation that deeply troubles Scrooge and causes him great perplexity, leading him to question the reality of his experiences.""Marley\'s Ghost represents the supernatural apparition of Marley, who has been dead for seven years and symbolizes regret and warning to Scrooge.""Marley\'s Ghost is an unearthly visitor that appears to Scrooge, causing him to question the nature of reality and dreams.""Marley\'s Ghost is the spectral figure of Jacob Marley, who appears to forewarn Scrooge about his fate and the necessity of change in his life.""Marley\'s Ghost is an unearthly visitor that appears to Scrooge, causing him to question the nature of reality and dreams.""Marley\'s Ghost is the spectral figure of Jacob Marley, who appears to forewarn Scrooge about his fate and the necessity of change in his life."', 'source_id': 'chunk-1aa50206d02ed89418f65f97c6441d1cchunk-c7b10789a9cb0af6c553730b29bd9034chunk-cb661c37436355ccec2769b1d0350c5fchunk-9c43dac2fcd5b578242d907ea6f8fc7b'} -2024-10-30 05:39:45,086 - lightrag - INFO - get_node:query:MATCH (n:`JACOB MARLEY`) RETURN n:result:"Jacob Marley is Scrooge\'s deceased business partner who plays a significant role in introducing the spirits to Scrooge.""Jacob Marley is Scrooge\'s deceased business partner, who appears as a ghost to warn Scrooge of his impending fate and the need for change.""Jacob Marley is a deceased character who symbolizes the consequences of a life led without compassion, influencing Scrooge\'s redemption.""Jacob Marley is a ghost who appears to Scrooge, having been his business partner in life, and is now bound by chains that signify his earthly ties and regrets.""Jacob Marley is the ghost of Scrooge\'s former business partner, who seeks to impart a lesson about the consequences of a life lived without compassion or connection to humanity.""Jacob Marley is the ghost who represents Scrooge\'s past and serves as a catalyst for his change.""Jacob Marley is Scrooge\'s deceased partner, who appears in spirit to influence Scrooge\'s journey towards redemption.""Jacob Marley is a spirit who influences Scrooge\'s change of heart, representing a connection to Scrooge\'s past and the theme of redemption.""Jacob Marley is the deceased business partner of Scrooge, whose ghost visits him to convey a message about the importance of charity and kindness.""Jacob Marley is the deceased partner of Scrooge who shows concern for Scrooge\'s fate and the importance of change in his life.""Jacob Marley is the ghost of Scrooge\'s former business partner, who foretells the consequences of Scrooge\'s selfishness and warns him to change his ways.""Jacob Marley is the ghost of Scrooge\'s former partner, who appears to warn Scrooge about his fate and the need for change in his life."', 'source_id': 'chunk-91572b3cd42786ba4cb2f180ca25cbf4chunk-90b95db5c53e4364a6bee36b7aa4d70fchunk-da2472b4ef2a535b62908f14d0fb0ca9chunk-359187e7571bda4b0b08b2e0b6581e52chunk-02baee20cc9463dbe08170a8e1043e32chunk-1aa50206d02ed89418f65f97c6441d1cchunk-cb661c37436355ccec2769b1d0350c5f'}> -2024-10-30 05:39:45,088 - lightrag - DEBUG - Trigger summary: "JACOB MARLEY" -2024-10-30 05:39:45,189 - lightrag - INFO - get_node:query:MATCH (n:`THE CHAIN`) RETURN n:result:"The Chain symbolizes the burdens of the past that haunt the spirits, showcasing the consequences of one\'s actions in life.""The Chain represents the burdens of greed and the consequences of one\'s actions, worn by Marley\'s Ghost as a physical manifestation of his regrets.""The Chain represents the burdens of regret and guilt that haunt Marley and serve as a warning to Scrooge about the consequences of a life poorly lived."', 'source_id': 'chunk-cb661c37436355ccec2769b1d0350c5fchunk-359187e7571bda4b0b08b2e0b6581e52chunk-1aa50206d02ed89418f65f97c6441d1c'}> -2024-10-30 05:39:45,328 - lightrag - INFO - _do_upsert:query: - MERGE (n:`THE CHAIN`) - SET n += $properties - RETURN n - :result:{'entity_type': '"CONCEPT"', 'description': '"The Chain refers to the symbolic burden that Marley carries, representing the consequences of his actions and the remorse that traps him in his spectral form.""The Chain symbolizes the burdens of the past that haunt the spirits, showcasing the consequences of one\'s actions in life.""The Chain represents the burdens of greed and the consequences of one\'s actions, worn by Marley\'s Ghost as a physical manifestation of his regrets.""The Chain represents the burdens of regret and guilt that haunt Marley and serve as a warning to Scrooge about the consequences of a life poorly lived.""The Chain represents the burdens of greed and the consequences of one\'s actions, worn by Marley\'s Ghost as a physical manifestation of his regrets.""The Chain represents the burdens of regret and guilt that haunt Marley and serve as a warning to Scrooge about the consequences of a life poorly lived."', 'source_id': 'chunk-1aa50206d02ed89418f65f97c6441d1cchunk-359187e7571bda4b0b08b2e0b6581e52chunk-cb661c37436355ccec2769b1d0350c5f'} -2024-10-30 05:39:45,467 - lightrag - INFO - get_node:query:MATCH (n:`THE HEAVY DOOR`) RETURN n:result:"The heavy door is a physical boundary encountered by Scrooge, marking the transition between the ordinary world and the supernatural visitation."', 'source_id': 'chunk-1aa50206d02ed89418f65f97c6441d1c'}> -2024-10-30 05:39:45,611 - lightrag - INFO - _do_upsert:query: - MERGE (n:`THE HEAVY DOOR`) - SET n += $properties - RETURN n - :result:{'entity_type': '"CONCEPT"', 'description': '"The Heavy Door symbolizes the threshold between life and death, as well as the barriers between Scrooge and the supernatural world.""The Heavy Door symbolizes the threshold between life and death, as well as the barriers between Scrooge and the supernatural world.""The heavy door is a physical boundary encountered by Scrooge, marking the transition between the ordinary world and the supernatural visitation."', 'source_id': 'chunk-1aa50206d02ed89418f65f97c6441d1c'} -2024-10-30 05:39:45,743 - lightrag - INFO - get_node:query:MATCH (n:`THE SPECTRE`) RETURN n:result: -2024-10-30 05:39:45,882 - lightrag - INFO - _do_upsert:query: - MERGE (n:`THE SPECTRE`) - SET n += $properties - RETURN n - :result:{'entity_type': '"CONCEPT"', 'description': '"The Spectre refers to the ghostly presence of Marley that embodies the themes of haunting and reflection on one\'s life choices."', 'source_id': 'chunk-1aa50206d02ed89418f65f97c6441d1c'} -2024-10-30 05:39:46,088 - lightrag - INFO - get_node:query:MATCH (n:`INFERNAL ATMOSPHERE`) RETURN n:result: -2024-10-30 05:39:46,226 - lightrag - INFO - _do_upsert:query: - MERGE (n:`INFERNAL ATMOSPHERE`) - SET n += $properties - RETURN n - :result:{'entity_type': '"CONCEPT"', 'description': '"The Infernal Atmosphere refers to the unsettling environment surrounding Marley\'s Ghost, indicating the discomfort and fear associated with his presence."', 'source_id': 'chunk-1aa50206d02ed89418f65f97c6441d1c'} -2024-10-30 05:39:46,363 - lightrag - INFO - get_node:query:MATCH (n:`THE CHAIR`) RETURN n:result: -2024-10-30 05:39:46,503 - lightrag - INFO - _do_upsert:query: - MERGE (n:`THE CHAIR`) - SET n += $properties - RETURN n - :result:{'entity_type': '"CONCEPT"', 'description': '"The Chair represents the symbol of comfort and safety that Scrooge clings to while facing the terrifying apparition."', 'source_id': 'chunk-1aa50206d02ed89418f65f97c6441d1c'} -2024-10-30 05:39:46,635 - lightrag - INFO - get_node:query:MATCH (n:`THE VISION`) RETURN n:result: -2024-10-30 05:39:46,775 - lightrag - INFO - _do_upsert:query: - MERGE (n:`THE VISION`) - SET n += $properties - RETURN n - :result:{'entity_type': '"CONCEPT"', 'description': '"The Vision refers to the haunting imagery that Scrooge perceives, reflecting his inner turmoil and conflict with reality."', 'source_id': 'chunk-1aa50206d02ed89418f65f97c6441d1c'} -2024-10-30 05:39:46,914 - lightrag - INFO - get_node:query:MATCH (n:`THE BANDAGE`) RETURN n:result:"The bandage is an item used by the ghost, symbolizing decay and the remnants of Marley’s struggle with his own existence post-death."', 'source_id': 'chunk-1aa50206d02ed89418f65f97c6441d1c'}> -2024-10-30 05:39:47,050 - lightrag - INFO - _do_upsert:query: - MERGE (n:`THE BANDAGE`) - SET n += $properties - RETURN n - :result:{'entity_type': '"CONCEPT"', 'description': '"The Bandage represents the ghost\'s attempt to maintain semblance in his appearance while revealing his true ghostly form.""The Bandage represents the ghost\'s attempt to maintain semblance in his appearance while revealing his true ghostly form.""The bandage is an item used by the ghost, symbolizing decay and the remnants of Marley’s struggle with his own existence post-death."', 'source_id': 'chunk-1aa50206d02ed89418f65f97c6441d1c'} -2024-10-30 05:39:47,188 - lightrag - INFO - get_node:query:MATCH (n:`GHOST`) RETURN n:result:"The Ghost refers to the spirit guiding Scrooge, embodying the themes of memory and reflection on the joys of Christmas.""The Ghost represents a spiritual guide that takes Scrooge on a journey to learn important lessons about compassion and humanity.""The Ghost serves as a supernatural guide for Scrooge, prompting him to reflect on his life and choices.""The Ghost is the spirit of Jacob Marley, who expresses remorse for his life and warns Scrooge about the consequences of ignoring his moral duties."', 'source_id': 'chunk-e7637ff18c5ded77a68cce0a87883fadchunk-c6c248858d1b13ab7ee9ca13c1aeed6bchunk-43c9bee23adfa77aa9dedd22401bba7dchunk-359187e7571bda4b0b08b2e0b6581e52chunk-503f0bfa5453467c7c61d160a3540eca'}> -2024-10-30 05:39:47,327 - lightrag - INFO - _do_upsert:query: - MERGE (n:`GHOST`) - SET n += $properties - RETURN n - :result:{'entity_type': '"PERSON"', 'description': '"The Ghost is a supernatural entity that provides guidance and reflection on Scrooge\'s past, representing moral and societal themes.""The Ghost refers to the spirit guiding Scrooge, embodying the themes of memory and reflection on the joys of Christmas.""The Ghost represents a spiritual guide that takes Scrooge on a journey to learn important lessons about compassion and humanity.""The Ghost serves as a supernatural guide for Scrooge, prompting him to reflect on his life and choices.""The Ghost is the spirit of Jacob Marley, who expresses remorse for his life and warns Scrooge about the consequences of ignoring his moral duties.""The Ghost is the spirit of Jacob Marley, who expresses remorse for his life and warns Scrooge about the consequences of ignoring his moral duties."', 'source_id': 'chunk-503f0bfa5453467c7c61d160a3540ecachunk-c6c248858d1b13ab7ee9ca13c1aeed6bchunk-359187e7571bda4b0b08b2e0b6581e52chunk-43c9bee23adfa77aa9dedd22401bba7dchunk-e7637ff18c5ded77a68cce0a87883fad'} -2024-10-30 05:39:47,461 - lightrag - INFO - get_node:query:MATCH (n:`CHRISTMAS EVES`) RETURN n:result:"Christmas Eves refers to the recurring time periods that Marley reflects upon, indicating the weight of his past decisions leading to regret."', 'source_id': 'chunk-359187e7571bda4b0b08b2e0b6581e52'}> -2024-10-30 05:39:47,600 - lightrag - INFO - _do_upsert:query: - MERGE (n:`CHRISTMAS EVES`) - SET n += $properties - RETURN n - :result:{'entity_type': '"EVENT"', 'description': '"Christmas Eves refer to the time periods associated with the spirits\' visits, specifically connecting to themes of reflection and redemption during the festive season.""Christmas Eves refer to the time periods associated with the spirits\' visits, specifically connecting to themes of reflection and redemption during the festive season.""Christmas Eves refers to the recurring time periods that Marley reflects upon, indicating the weight of his past decisions leading to regret."', 'source_id': 'chunk-359187e7571bda4b0b08b2e0b6581e52'} -2024-10-30 05:39:47,736 - lightrag - INFO - get_node:query:MATCH (n:`MANKIND`) RETURN n:result:"Mankind signifies the broader human community, which Marley claims should be the focus of compassionate effort rather than mere business pursuits."', 'source_id': 'chunk-359187e7571bda4b0b08b2e0b6581e52'}> -2024-10-30 05:39:47,873 - lightrag - INFO - _do_upsert:query: - MERGE (n:`MANKIND`) - SET n += $properties - RETURN n - :result:{'entity_type': '"CONCEPT"', 'description': '"Mankind is referenced as a significant concern that should have been the focus of Scrooge\'s life, highlighting the importance of universal compassion and care.""Mankind is referenced as a significant concern that should have been the focus of Scrooge\'s life, highlighting the importance of universal compassion and care.""Mankind signifies the broader human community, which Marley claims should be the focus of compassionate effort rather than mere business pursuits."', 'source_id': 'chunk-359187e7571bda4b0b08b2e0b6581e52'} -2024-10-30 05:39:48,005 - lightrag - INFO - get_node:query:MATCH (n:`ETERNAL CHAIN`) RETURN n:result: -2024-10-30 05:39:48,147 - lightrag - INFO - _do_upsert:query: - MERGE (n:`ETERNAL CHAIN`) - SET n += $properties - RETURN n - :result:{'entity_type': '"CONCEPT"', 'description': '"The Eternal Chain represents the burdens and consequences of one\'s actions in life, symbolizing the weight of regret carried by the Ghost."', 'source_id': 'chunk-359187e7571bda4b0b08b2e0b6581e52'} -2024-10-30 05:39:48,280 - lightrag - INFO - get_node:query:MATCH (n:`STAR`) RETURN n:result: -2024-10-30 05:39:48,423 - lightrag - INFO - _do_upsert:query: - MERGE (n:`STAR`) - SET n += $properties - RETURN n - :result:{'entity_type': '"GEO"', 'description': '"The Star symbolizes guidance and hope, referenced in connection with the Wise Men, representing the potential for enlightenment and moral direction."', 'source_id': 'chunk-359187e7571bda4b0b08b2e0b6581e52'} -2024-10-30 05:39:48,554 - lightrag - INFO - get_node:query:MATCH (n:`WISE MEN`) RETURN n:result: -2024-10-30 05:39:48,694 - lightrag - INFO - _do_upsert:query: - MERGE (n:`WISE MEN`) - SET n += $properties - RETURN n - :result:{'entity_type': '"PERSON"', 'description': '"The Wise Men are figures who followed the Star to bring gifts, embodying the values of recognition and generosity that Scrooge has neglected."', 'source_id': 'chunk-359187e7571bda4b0b08b2e0b6581e52'} -2024-10-30 05:39:48,828 - lightrag - INFO - get_node:query:MATCH (n:`FELLOW-BEINGS`) RETURN n:result: -2024-10-30 05:39:48,969 - lightrag - INFO - _do_upsert:query: - MERGE (n:`FELLOW-BEINGS`) - SET n += $properties - RETURN n - :result:{'entity_type': '"CONCEPT"', 'description': '"Fellow-beings are the people whom Scrooge ignored in life, representing the importance of community and connection."', 'source_id': 'chunk-359187e7571bda4b0b08b2e0b6581e52'} -2024-10-30 05:39:49,103 - lightrag - INFO - get_node:query:MATCH (n:`CHRISTMAS SPIRIT`) RETURN n:result: -2024-10-30 05:39:49,244 - lightrag - INFO - _do_upsert:query: - MERGE (n:`CHRISTMAS SPIRIT`) - SET n += $properties - RETURN n - :result:{'entity_type': '"CONCEPT"', 'description': '"The Christmas Spirit represents the ideals of generosity and kindness associated with the holiday season, which the Ghost encourages Scrooge to embrace."', 'source_id': 'chunk-359187e7571bda4b0b08b2e0b6581e52'} -2024-10-30 05:39:49,376 - lightrag - INFO - get_node:query:MATCH (n:`SPECTRE`) RETURN n:result: -2024-10-30 05:39:49,513 - lightrag - INFO - _do_upsert:query: - MERGE (n:`SPECTRE`) - SET n += $properties - RETURN n - :result:{'entity_type': '"PERSON"', 'description': '"The Spectre is another term for the Ghost, representing a manifestation of guilt and the need for change in Scrooge\'s life."', 'source_id': 'chunk-359187e7571bda4b0b08b2e0b6581e52'} -2024-10-30 05:39:49,645 - lightrag - INFO - get_node:query:MATCH (n:`THE THREE SPIRITS`) RETURN n:result:"The Three Spirits refer to the supernatural beings that are prophesied to visit Scrooge, each representing different aspects of time and morality."', 'source_id': 'chunk-cb661c37436355ccec2769b1d0350c5f'}> -2024-10-30 05:39:49,785 - lightrag - INFO - _do_upsert:query: - MERGE (n:`THE THREE SPIRITS`) - SET n += $properties - RETURN n - :result:{'entity_type': '"EVENT"', 'description': '"The Three Spirits are the apparitions that Jacob Marley warns Scrooge about, who will visit him to guide him toward redemption.""The Three Spirits are the apparitions that Jacob Marley warns Scrooge about, who will visit him to guide him toward redemption.""The Three Spirits refer to the supernatural beings that are prophesied to visit Scrooge, each representing different aspects of time and morality."', 'source_id': 'chunk-cb661c37436355ccec2769b1d0350c5f'} -2024-10-30 05:39:49,921 - lightrag - INFO - get_node:query:MATCH (n:`THE PHANTOM VOICES`) RETURN n:result: -2024-10-30 05:39:50,059 - lightrag - INFO - _do_upsert:query: - MERGE (n:`THE PHANTOM VOICES`) - SET n += $properties - RETURN n - :result:{'entity_type': '"EVENT"', 'description': '"The Phantom Voices refer to the sorrowful sounds of lamentation that Scrooge hears as the apparitions wander, representing lost opportunities and regret."', 'source_id': 'chunk-cb661c37436355ccec2769b1d0350c5f'} -2024-10-30 05:39:50,195 - lightrag - INFO - get_node:query:MATCH (n:`THE WINDOW`) RETURN n:result:"The Window represents a threshold between the visible and invisible worlds, allowing Scrooge a view into the realm of spirits and their lamentations."', 'source_id': 'chunk-cb661c37436355ccec2769b1d0350c5f'}> -2024-10-30 05:39:50,332 - lightrag - INFO - _do_upsert:query: - MERGE (n:`THE WINDOW`) - SET n += $properties - RETURN n - :result:{'entity_type': '"GEO"', 'description': '"The Window is a physical presence in Scrooge\'s chamber that he approaches to observe the supernatural occurrences outside.""The Window is a physical presence in Scrooge\'s chamber that he approaches to observe the supernatural occurrences outside.""The Window represents a threshold between the visible and invisible worlds, allowing Scrooge a view into the realm of spirits and their lamentations."', 'source_id': 'chunk-cb661c37436355ccec2769b1d0350c5f'} -2024-10-30 05:39:50,468 - lightrag - INFO - get_node:query:MATCH (n:`THE CLOCK`) RETURN n:result:"The Clock is mentioned as malfunctioning, which symbolizes the confusion and distortion of time that Scrooge experiences during his nighttime visitations.""The Clock serves as a symbol of time passing, reflecting Scrooge\'s disorientation regarding time as he transitions between reality and the supernatural.""The Clock signifies the passage of time during the Domestic Ball and plays a role in marking the end of the celebration."', 'source_id': 'chunk-cb661c37436355ccec2769b1d0350c5fchunk-c7b10789a9cb0af6c553730b29bd9034chunk-b2f98bc7abb0c67d4c86055c7fd72218'}> -2024-10-30 05:39:50,607 - lightrag - INFO - _do_upsert:query: - MERGE (n:`THE CLOCK`) - SET n += $properties - RETURN n - :result:{'entity_type': '"GEO"', 'description': '"The Clock is a device that malfunctions, contributing to Scrooge\'s confusion about time and reality in the narrative.""The Clock is mentioned as malfunctioning, which symbolizes the confusion and distortion of time that Scrooge experiences during his nighttime visitations.""The Clock serves as a symbol of time passing, reflecting Scrooge\'s disorientation regarding time as he transitions between reality and the supernatural.""The Clock signifies the passage of time during the Domestic Ball and plays a role in marking the end of the celebration.""The Clock serves as a symbol of time passing, reflecting Scrooge\'s disorientation regarding time as he transitions between reality and the supernatural.""The Clock signifies the passage of time during the Domestic Ball and plays a role in marking the end of the celebration."', 'source_id': 'chunk-c7b10789a9cb0af6c553730b29bd9034chunk-cb661c37436355ccec2769b1d0350c5fchunk-b2f98bc7abb0c67d4c86055c7fd72218'} -2024-10-30 05:39:50,741 - lightrag - INFO - get_node:query:MATCH (n:`THE DARKNESS`) RETURN n:result:"The Darkness symbolizes the confusion and the unknown that envelops Scrooge as he faces the reality of his past, present, and future."', 'source_id': 'chunk-cb661c37436355ccec2769b1d0350c5f'}> -2024-10-30 05:39:50,880 - lightrag - INFO - _do_upsert:query: - MERGE (n:`THE DARKNESS`) - SET n += $properties - RETURN n - :result:{'entity_type': '"CONCEPT"', 'description': '"The Darkness refers to the absence of light, signifying uncertainty and fear in Scrooge\'s transformation journey.""The Darkness symbolizes the confusion and the unknown that envelops Scrooge as he faces the reality of his past, present, and future.""The Darkness symbolizes the confusion and the unknown that envelops Scrooge as he faces the reality of his past, present, and future."', 'source_id': 'chunk-cb661c37436355ccec2769b1d0350c5f'} -2024-10-30 05:39:51,018 - lightrag - INFO - get_node:query:MATCH (n:`CLOCK`) RETURN n:result: -2024-10-30 05:39:51,159 - lightrag - INFO - _do_upsert:query: - MERGE (n:`CLOCK`) - SET n += $properties - RETURN n - :result:{'entity_type': '"ORGANIZATION"', 'description': '"The Clock symbolizes the passage of time and plays a pivotal role in establishing the moments of Scrooge\'s experience with the Ghost."', 'source_id': 'chunk-c7b10789a9cb0af6c553730b29bd9034'} -2024-10-30 05:39:51,293 - lightrag - INFO - get_node:query:MATCH (n:`HOLLY`) RETURN n:result:"Holly is a plant associated with Christmas, mentioned among other decorations that contribute to the festive atmosphere.""Holly is a symbol held by The Ghost, representing peace and goodwill, contrasting with the cold wintry atmosphere around Scrooge.""Holly is mentioned as part of the traditional decorations associated with Christmas, symbolizing festivity.""Holly represents a traditional decoration associated with Christmas, symbolizing festivity and the presence of the Christmas spirit."', 'source_id': 'chunk-c7b10789a9cb0af6c553730b29bd9034chunk-99b0ec7f7e006561352b5d65e849611dchunk-843b5b2f944c7413d9ca876e2e2f151f'}> -2024-10-30 05:39:51,436 - lightrag - INFO - _do_upsert:query: - MERGE (n:`HOLLY`) - SET n += $properties - RETURN n - :result:{'entity_type': '"ORGANIZATION"', 'description': '"Holly is a plant associated with Christmas, featured prominently in the Spirit\'s attire, symbolizing joy and celebration during the festive season.""Holly is a plant associated with Christmas, mentioned among other decorations that contribute to the festive atmosphere.""Holly is a symbol held by The Ghost, representing peace and goodwill, contrasting with the cold wintry atmosphere around Scrooge.""Holly is mentioned as part of the traditional decorations associated with Christmas, symbolizing festivity.""Holly represents a traditional decoration associated with Christmas, symbolizing festivity and the presence of the Christmas spirit.""Holly is a symbol held by The Ghost, representing peace and goodwill, contrasting with the cold wintry atmosphere around Scrooge.""Holly is mentioned as part of the traditional decorations associated with Christmas, symbolizing festivity.""Holly represents a traditional decoration associated with Christmas, symbolizing festivity and the presence of the Christmas spirit."', 'source_id': 'chunk-c7b10789a9cb0af6c553730b29bd9034chunk-843b5b2f944c7413d9ca876e2e2f151fchunk-99b0ec7f7e006561352b5d65e849611d'} -2024-10-30 05:39:51,575 - lightrag - INFO - get_node:query:MATCH (n:`LIGHT`) RETURN n:result:"Light is a prominent feature associated with The Ghost, symbolizing knowledge and revelation, illuminating the darkness of Scrooge\'s ignorance."', 'source_id': 'chunk-c7b10789a9cb0af6c553730b29bd9034'}> -2024-10-30 05:39:51,713 - lightrag - INFO - _do_upsert:query: - MERGE (n:`LIGHT`) - SET n += $properties - RETURN n - :result:{'entity_type': '"CONCEPT"', 'description': '"Light emanates from The Visitor, symbolizing clarity, revelation, and the supernatural, contrasting with the darkness around Scrooge\'s situation.""Light is a prominent feature associated with The Ghost, symbolizing knowledge and revelation, illuminating the darkness of Scrooge\'s ignorance.""Light is a prominent feature associated with The Ghost, symbolizing knowledge and revelation, illuminating the darkness of Scrooge\'s ignorance."', 'source_id': 'chunk-c7b10789a9cb0af6c553730b29bd9034'} -2024-10-30 05:39:51,857 - lightrag - INFO - get_node:query:MATCH (n:`WINTER`) RETURN n:result: -2024-10-30 05:39:52,058 - lightrag - INFO - _do_upsert:query: - MERGE (n:`WINTER`) - SET n += $properties - RETURN n - :result:{'entity_type': '"GEO"', 'description': '"Winter represents the cold and bleak environment that surrounds Scrooge during his nighttime encounters with the supernatural."', 'source_id': 'chunk-c7b10789a9cb0af6c553730b29bd9034'} -2024-10-30 05:39:52,192 - lightrag - INFO - get_node:query:MATCH (n:`THE DRESSING-GOWN`) RETURN n:result:"The Dressing-Gown is worn by Scrooge, symbolizing his state of vulnerability and introspection as he grapples with profound ideas in the narrative."', 'source_id': 'chunk-c7b10789a9cb0af6c553730b29bd9034chunk-9c43dac2fcd5b578242d907ea6f8fc7b'}> -2024-10-30 05:39:52,333 - lightrag - INFO - _do_upsert:query: - MERGE (n:`THE DRESSING-GOWN`) - SET n += $properties - RETURN n - :result:{'entity_type': '"ORGANIZATION"', 'description': '"The Dressing-Gown is worn by Scrooge, illustrating his solitary, night-time routine and emphasizing his isolation.""The Dressing-Gown is worn by Scrooge, symbolizing his state of vulnerability and introspection as he grapples with profound ideas in the narrative.""The Dressing-Gown is worn by Scrooge, symbolizing his state of vulnerability and introspection as he grapples with profound ideas in the narrative."', 'source_id': 'chunk-c7b10789a9cb0af6c553730b29bd9034chunk-9c43dac2fcd5b578242d907ea6f8fc7b'} -2024-10-30 05:39:52,471 - lightrag - INFO - get_node:query:MATCH (n:`TUNIC`) RETURN n:result: -2024-10-30 05:39:52,609 - lightrag - INFO - _do_upsert:query: - MERGE (n:`TUNIC`) - SET n += $properties - RETURN n - :result:{'entity_type': '"CONCEPT"', 'description': '"The Tunic is part of The Ghost\'s attire, signifying purity and heavenly qualities in contrast to Scrooge\'s current state."', 'source_id': 'chunk-c7b10789a9cb0af6c553730b29bd9034'} -2024-10-30 05:39:52,743 - lightrag - INFO - get_node:query:MATCH (n:`BELL`) RETURN n:result: -2024-10-30 05:39:52,880 - lightrag - INFO - _do_upsert:query: - MERGE (n:`BELL`) - SET n += $properties - RETURN n - :result:{'entity_type': '"EVENT"', 'description': '"The Bell signifies the passage of time and is crucial in alerting Scrooge to the hour of visitation by The Ghost."', 'source_id': 'chunk-c7b10789a9cb0af6c553730b29bd9034'} -2024-10-30 05:39:53,012 - lightrag - INFO - get_node:query:MATCH (n:`CLOCK'S STRIKE`) RETURN n:result: -2024-10-30 05:39:53,149 - lightrag - INFO - _do_upsert:query: - MERGE (n:`CLOCK'S STRIKE`) - SET n += $properties - RETURN n - :result:{'entity_type': '"EVENT"', 'description': '"The Clock\'s Strike is an event marking significant moments throughout the narrative, emphasizing the theme of time."', 'source_id': 'chunk-c7b10789a9cb0af6c553730b29bd9034'} -2024-10-30 05:39:53,281 - lightrag - INFO - get_node:query:MATCH (n:`DREAM`) RETURN n:result:"Dream refers to the possibility that Scrooge\'s experiences are a figment of his imagination, reflecting his internal struggle with reality and perception."', 'source_id': 'chunk-c7b10789a9cb0af6c553730b29bd9034'}> -2024-10-30 05:39:53,420 - lightrag - INFO - _do_upsert:query: - MERGE (n:`DREAM`) - SET n += $properties - RETURN n - :result:{'entity_type': '"CONCEPT"', 'description': '"Dream refers to Scrooge\'s mental conflict regarding whether the spectral encounters are real or figments of his imagination.""Dream refers to Scrooge\'s mental conflict regarding whether the spectral encounters are real or figments of his imagination.""Dream refers to the possibility that Scrooge\'s experiences are a figment of his imagination, reflecting his internal struggle with reality and perception."', 'source_id': 'chunk-c7b10789a9cb0af6c553730b29bd9034'} -2024-10-30 05:39:53,555 - lightrag - INFO - get_node:query:MATCH (n:`DING DONG`) RETURN n:result: -2024-10-30 05:39:53,691 - lightrag - INFO - _do_upsert:query: - MERGE (n:`DING DONG`) - SET n += $properties - RETURN n - :result:{'entity_type': '"EVENT"', 'description': '"Ding Dong represents the sound of the clock chimes, anchoring the reader in time and emphasizing the moments of realization for Scrooge."', 'source_id': 'chunk-c7b10789a9cb0af6c553730b29bd9034'} -2024-10-30 05:39:53,824 - lightrag - INFO - get_node:query:MATCH (n:`TIME`) RETURN n:result: -2024-10-30 05:39:53,961 - lightrag - INFO - _do_upsert:query: - MERGE (n:`TIME`) - SET n += $properties - RETURN n - :result:{'entity_type': '"CONCEPT"', 'description': '"Time is a central theme, with characters reflecting on its passage and significance in relation to life and revelations."', 'source_id': 'chunk-c7b10789a9cb0af6c553730b29bd9034'} -2024-10-30 05:39:54,102 - lightrag - INFO - get_node:query:MATCH (n:`THE SPIRIT`) RETURN n:result:"The Spirit is the entity that guides Scrooge through memories, prompting reflections on his past during the Christmas season.""The Spirit refers to an embodiment of the Christmas message that represents moral guidance and introspection in Scrooge\'s life.""The Spirit refers to the Ghost of Christmas Present, a supernatural figure that guides Scrooge through lessons about generosity and community.""The Spirit refers to the supernatural essence of the Ghost of Christmas Past, embodying the idea of reflection and memory.""The Spirit refers to the supernatural influences that visit Scrooge, particularly the second of the Three Spirits.""The Spirit represents the essence of Christmas cheer and generosity, influencing the atmosphere and morale during the feast.""The Spirit represents the supernatural presence urging Scrooge to reflect deeply on the consequences of his life choices, particularly in relation to Death.""The Spirit is a supernatural entity guiding Scrooge through various scenarios, pushing him towards reflection and change.""The Spirit is portrayed as a phantom guiding Scrooge, representing the moral and existential queries of his life.""The Spirit refers to a ghostly figure guiding Scrooge through his memories, playing a vital role in his transformation.""The Spirit refers to the Ghost of Christmas Present, who observes and interacts with the gathering, influencing Scrooge\'s emotional journey.""The Spirit refers to the ghostly apparitions that guide Scrooge through his reflections on life, past, present, and future.""The Spirit refers to the moral lesson embodied by the Ghost that visits Scrooge, emphasizing compassion and the value of life.""The Spirit represents a guiding force encouraging Scrooge to introspect on his past and recognize the value of happiness.""The Spirit represents a supernatural presence that influences the mood of Christmas, promoting generosity and mirth during the holiday season.""The Spirit represents the collective essence of the Christmas spirits, signifying guidance, memory, and influence over personal transformation.""The Spirit serves as a guiding force in the narrative, helping Scrooge understand his history and the impact of his actions."', 'source_id': 'chunk-91614df5cb74cbe5e109a338a82041e9chunk-91572b3cd42786ba4cb2f180ca25cbf4chunk-e1f29eeadc1d8ab46dc8a0bbd3c56b64chunk-b0f459f5af1c3a5e0b92cbe4ee48b77bchunk-b2f98bc7abb0c67d4c86055c7fd72218chunk-da2472b4ef2a535b62908f14d0fb0ca9chunk-8590d9263cd2cd4fa583c432fc54e6c3chunk-19d72c57ae3408758b18d2568e86dc6bchunk-43c9bee23adfa77aa9dedd22401bba7dchunk-bb21d58d36c6306fd8810ddd51c4a971chunk-503f0bfa5453467c7c61d160a3540ecachunk-f1a4fbcf1ed86864b9bfd5e8dba4c683'}> -2024-10-30 05:39:54,105 - lightrag - DEBUG - Trigger summary: "THE SPIRIT" -2024-10-30 05:39:54,208 - lightrag - INFO - get_node:query:MATCH (n:`WINTER DAY`) RETURN n:result:"The winter day serves as the setting for Scrooge\'s journey with the Ghost, representing a time for reflection and nostalgia."', 'source_id': 'chunk-bb21d58d36c6306fd8810ddd51c4a971'}> -2024-10-30 05:39:54,357 - lightrag - INFO - _do_upsert:query: - MERGE (n:`WINTER DAY`) - SET n += $properties - RETURN n - :result:{'entity_type': '"EVENT"', 'description': '"The Winter Day signifies the seasonal setting during Scrooge\'s journey through his memories, highlighting a clear, cold atmosphere filled with nostalgia.""The winter day serves as the setting for Scrooge\'s journey with the Ghost, representing a time for reflection and nostalgia.""The winter day serves as the setting for Scrooge\'s journey with the Ghost, representing a time for reflection and nostalgia."', 'source_id': 'chunk-bb21d58d36c6306fd8810ddd51c4a971'} -2024-10-30 05:39:54,494 - lightrag - INFO - get_node:query:MATCH (n:`MARKET-TOWN`) RETURN n:result:"The market-town appears in Scrooge\'s memories as a significant place from his childhood, representing a connection to his past."', 'source_id': 'chunk-bb21d58d36c6306fd8810ddd51c4a971'}> -2024-10-30 05:39:54,637 - lightrag - INFO - _do_upsert:query: - MERGE (n:`MARKET-TOWN`) - SET n += $properties - RETURN n - :result:{'entity_type': '"GEO"', 'description': '"The Market-Town is a nostalgic location from Scrooge\'s youth, evoking memories and emotions tied to his childhood.""The market-town appears in Scrooge\'s memories as a significant place from his childhood, representing a connection to his past.""The market-town appears in Scrooge\'s memories as a significant place from his childhood, representing a connection to his past."', 'source_id': 'chunk-bb21d58d36c6306fd8810ddd51c4a971'} -2024-10-30 05:39:54,775 - lightrag - INFO - get_node:query:MATCH (n:`BOYS`) RETURN n:result: -2024-10-30 05:39:54,910 - lightrag - INFO - _do_upsert:query: - MERGE (n:`BOYS`) - SET n += $properties - RETURN n - :result:{'entity_type': '"PERSON"', 'description': '"The boys are depicted as cheerful characters riding ponies, contributing to the joyful atmosphere and memories of Scrooge\'s past."', 'source_id': 'chunk-bb21d58d36c6306fd8810ddd51c4a971'} -2024-10-30 05:39:55,040 - lightrag - INFO - get_node:query:MATCH (n:`SHAGGY PONIES`) RETURN n:result: -2024-10-30 05:39:55,180 - lightrag - INFO - _do_upsert:query: - MERGE (n:`SHAGGY PONIES`) - SET n += $properties - RETURN n - :result:{'entity_type': '"GEO"', 'description': '"Shaggy ponies are mentioned as part of the scene, representing the innocent and playful aspects of Scrooge\'s childhood."', 'source_id': 'chunk-bb21d58d36c6306fd8810ddd51c4a971'} -2024-10-30 05:39:55,316 - lightrag - INFO - get_node:query:MATCH (n:`BRIDGE`) RETURN n:result: -2024-10-30 05:39:55,455 - lightrag - INFO - _do_upsert:query: - MERGE (n:`BRIDGE`) - SET n += $properties - RETURN n - :result:{'entity_type': '"GEO"', 'description': '"The bridge is a landmark in the market-town that Scrooge recognizes from his childhood, symbolizing a connection to his past."', 'source_id': 'chunk-bb21d58d36c6306fd8810ddd51c4a971'} -2024-10-30 05:39:55,592 - lightrag - INFO - get_node:query:MATCH (n:`CHURCH`) RETURN n:result: -2024-10-30 05:39:55,728 - lightrag - INFO - _do_upsert:query: - MERGE (n:`CHURCH`) - SET n += $properties - RETURN n - :result:{'entity_type': '"GEO"', 'description': '"The church is another landmark in the market-town representing tradition and community significant to Scrooge\'s memories."', 'source_id': 'chunk-bb21d58d36c6306fd8810ddd51c4a971'} -2024-10-30 05:39:55,860 - lightrag - INFO - get_node:query:MATCH (n:`WINDING RIVER`) RETURN n:result: -2024-10-30 05:39:56,002 - lightrag - INFO - _do_upsert:query: - MERGE (n:`WINDING RIVER`) - SET n += $properties - RETURN n - :result:{'entity_type': '"GEO"', 'description': '"The winding river is part of the landscape Scrooge recalls, tying into his emotions of nostalgia and remembrance of home."', 'source_id': 'chunk-bb21d58d36c6306fd8810ddd51c4a971'} -2024-10-30 05:39:56,137 - lightrag - INFO - get_node:query:MATCH (n:`ALI BABA`) RETURN n:result:"Ali Baba is mentioned as a character from a story that impacts Scrooge during his reflection on Christmas and childhood."', 'source_id': 'chunk-8590d9263cd2cd4fa583c432fc54e6c3'}> -2024-10-30 05:39:56,275 - lightrag - INFO - _do_upsert:query: - MERGE (n:`ALI BABA`) - SET n += $properties - RETURN n - :result:{'entity_type': '"PERSON"', 'description': '"Ali Baba is a character from a story recalled by Scrooge, representing memories of adventure and kindness during Christmas.""Ali Baba is a character from a story recalled by Scrooge, representing memories of adventure and kindness during Christmas.""Ali Baba is mentioned as a character from a story that impacts Scrooge during his reflection on Christmas and childhood."', 'source_id': 'chunk-8590d9263cd2cd4fa583c432fc54e6c3'} -2024-10-30 05:39:56,409 - lightrag - INFO - get_node:query:MATCH (n:`VALENTINE`) RETURN n:result:"Valentine is referenced as a brother of a character, and his presence contributes to the holiday memories Scrooge recalls."', 'source_id': 'chunk-8590d9263cd2cd4fa583c432fc54e6c3'}> -2024-10-30 05:39:56,552 - lightrag - INFO - _do_upsert:query: - MERGE (n:`VALENTINE`) - SET n += $properties - RETURN n - :result:{'entity_type': '"PERSON"', 'description': '"Valentine is mentioned as a character associated with Scrooge\'s childhood memories, indicating the depth of his nostalgia.""Valentine is mentioned as a character associated with Scrooge\'s childhood memories, indicating the depth of his nostalgia.""Valentine is referenced as a brother of a character, and his presence contributes to the holiday memories Scrooge recalls."', 'source_id': 'chunk-8590d9263cd2cd4fa583c432fc54e6c3'} -2024-10-30 05:39:56,689 - lightrag - INFO - get_node:query:MATCH (n:`ORSON`) RETURN n:result:"Orson, the wild brother of Valentine, is another figure from Scrooge\'s past, representing familial connections and memories."', 'source_id': 'chunk-8590d9263cd2cd4fa583c432fc54e6c3'}> -2024-10-30 05:39:56,828 - lightrag - INFO - _do_upsert:query: - MERGE (n:`ORSON`) - SET n += $properties - RETURN n - :result:{'entity_type': '"PERSON"', 'description': '"Orson is mentioned as another brother mentioned by Scrooge, recalling his childhood tales and adventures.""Orson, the wild brother of Valentine, is another figure from Scrooge\'s past, representing familial connections and memories.""Orson, the wild brother of Valentine, is another figure from Scrooge\'s past, representing familial connections and memories."', 'source_id': 'chunk-8590d9263cd2cd4fa583c432fc54e6c3'} -2024-10-30 05:39:56,963 - lightrag - INFO - get_node:query:MATCH (n:`MANSION`) RETURN n:result: -2024-10-30 05:39:57,100 - lightrag - INFO - _do_upsert:query: - MERGE (n:`MANSION`) - SET n += $properties - RETURN n - :result:{'entity_type': '"GEO"', 'description': '"The Mansion is a large house described as being in a state of decay and neglect, serving as a setting for Scrooge\'s memories."', 'source_id': 'chunk-8590d9263cd2cd4fa583c432fc54e6c3'} -2024-10-30 05:39:57,233 - lightrag - INFO - get_node:query:MATCH (n:`CHILD`) RETURN n:result: -2024-10-30 05:39:57,370 - lightrag - INFO - _do_upsert:query: - MERGE (n:`CHILD`) - SET n += $properties - RETURN n - :result:{'entity_type': '"PERSON"', 'description': '"The Child is a solitary figure leaving in the school, representing loneliness and the emotions tied to Scrooge\'s memories of his younger self."', 'source_id': 'chunk-8590d9263cd2cd4fa583c432fc54e6c3'} -2024-10-30 05:39:57,503 - lightrag - INFO - get_node:query:MATCH (n:`ROBIN CRUSOE`) RETURN n:result:"Robin Crusoe is a character referenced by Scrooge as part of his memories, signifying tales of adventure and nostalgia."', 'source_id': 'chunk-8590d9263cd2cd4fa583c432fc54e6c3'}> -2024-10-30 05:39:57,640 - lightrag - INFO - _do_upsert:query: - MERGE (n:`ROBIN CRUSOE`) - SET n += $properties - RETURN n - :result:{'entity_type': '"PERSON"', 'description': '"Robin Crusoe is a character from literature that Scrooge remembers fondly, illustrating his connection to stories of adventure and survival.""Robin Crusoe is a character from literature that Scrooge remembers fondly, illustrating his connection to stories of adventure and survival.""Robin Crusoe is a character referenced by Scrooge as part of his memories, signifying tales of adventure and nostalgia."', 'source_id': 'chunk-8590d9263cd2cd4fa583c432fc54e6c3'} -2024-10-30 05:39:57,776 - lightrag - INFO - get_node:query:MATCH (n:`FRIDAY`) RETURN n:result:"Friday is another character from the story of Robin Crusoe, noted in Scrooge\'s memories, indicating the impact of literature on his nostalgia."', 'source_id': 'chunk-8590d9263cd2cd4fa583c432fc54e6c3'}> -2024-10-30 05:39:57,915 - lightrag - INFO - _do_upsert:query: - MERGE (n:`FRIDAY`) - SET n += $properties - RETURN n - :result:{'entity_type': '"PERSON"', 'description': '"Friday is another character from a story mentioned by Scrooge during his nostalgic recollections of childhood.""Friday is another character from the story of Robin Crusoe, noted in Scrooge\'s memories, indicating the impact of literature on his nostalgia.""Friday is another character from the story of Robin Crusoe, noted in Scrooge\'s memories, indicating the impact of literature on his nostalgia."', 'source_id': 'chunk-8590d9263cd2cd4fa583c432fc54e6c3'} -2024-10-30 05:39:58,051 - lightrag - INFO - get_node:query:MATCH (n:`THE PARROT`) RETURN n:result: -2024-10-30 05:39:58,189 - lightrag - INFO - _do_upsert:query: - MERGE (n:`THE PARROT`) - SET n += $properties - RETURN n - :result:{'entity_type': '"PERSON"', 'description': '"The Parrot is a character in Scrooge\'s memory tied to Robin Crusoe, representing Scrooge\'s whimsical recollections."', 'source_id': 'chunk-8590d9263cd2cd4fa583c432fc54e6c3'} -2024-10-30 05:39:58,321 - lightrag - INFO - get_node:query:MATCH (n:`DICK WILKINS`) RETURN n:result:"Dick Wilkins is Scrooge\'s fellow apprentice and close companion during his younger years, indicating camaraderie during their apprenticeship.""Dick Wilkins is Scrooge\'s fellow apprentice, associated with Scrooge\'s past and the context of his earlier, more carefree life.""Dick Wilkins is a former apprentice of Scrooge, remembered fondly for his attachment to Scrooge."', 'source_id': 'chunk-c6c248858d1b13ab7ee9ca13c1aeed6bchunk-8bc1edd983869352d14cf0886a9175a7'}> -2024-10-30 05:39:58,460 - lightrag - INFO - _do_upsert:query: - MERGE (n:`DICK WILKINS`) - SET n += $properties - RETURN n - :result:{'entity_type': '"PERSON"', 'description': '"Dick Wilkins is Ebenezer\'s fellow apprentice, with whom he shared a strong attachment during their youth.""Dick Wilkins is Scrooge\'s fellow apprentice and close companion during his younger years, indicating camaraderie during their apprenticeship.""Dick Wilkins is Scrooge\'s fellow apprentice, associated with Scrooge\'s past and the context of his earlier, more carefree life.""Dick Wilkins is a former apprentice of Scrooge, remembered fondly for his attachment to Scrooge.""Dick Wilkins is Scrooge\'s fellow apprentice, associated with Scrooge\'s past and the context of his earlier, more carefree life.""Dick Wilkins is a former apprentice of Scrooge, remembered fondly for his attachment to Scrooge."', 'source_id': 'chunk-c6c248858d1b13ab7ee9ca13c1aeed6bchunk-8bc1edd983869352d14cf0886a9175a7'} -2024-10-30 05:39:58,595 - lightrag - INFO - get_node:query:MATCH (n:`THE CITY`) RETURN n:result:"The City represents the bustling urban environment where Scrooge reflects on his past, filled with activity and shadowy figures.""The City, from which Scrooge is transported, represents his past life and is contrasted with the open country road that signifies his memories.""The City refers to the broader urban environment in which Scrooge operates and signifies the societal norms and attitudes towards Christmas.""The City represents the bustling urban environment where Scrooge\'s memories unfold, highlighting the contrast between his past and present."', 'source_id': 'chunk-74e2466de2f67fd710ef2f20c0a8d9e0chunk-c6c248858d1b13ab7ee9ca13c1aeed6bchunk-bb21d58d36c6306fd8810ddd51c4a971chunk-94bea83e7153fc2064aa382b494936a1'}> -2024-10-30 05:39:58,732 - lightrag - INFO - _do_upsert:query: - MERGE (n:`THE CITY`) - SET n += $properties - RETURN n - :result:{'entity_type': '"GEO"', 'description': '"The City provides the backdrop for Scrooge\'s story, representing the bustling environment that underscores his loneliness and detachment from society.""The City represents the bustling urban environment where Scrooge reflects on his past, filled with activity and shadowy figures.""The City, from which Scrooge is transported, represents his past life and is contrasted with the open country road that signifies his memories.""The City refers to the broader urban environment in which Scrooge operates and signifies the societal norms and attitudes towards Christmas.""The City represents the bustling urban environment where Scrooge\'s memories unfold, highlighting the contrast between his past and present.""The City refers to the broader urban environment in which Scrooge operates and signifies the societal norms and attitudes towards Christmas.""The City represents the bustling urban environment where Scrooge\'s memories unfold, highlighting the contrast between his past and present."', 'source_id': 'chunk-74e2466de2f67fd710ef2f20c0a8d9e0chunk-c6c248858d1b13ab7ee9ca13c1aeed6bchunk-94bea83e7153fc2064aa382b494936a1chunk-bb21d58d36c6306fd8810ddd51c4a971'} -2024-10-30 05:39:58,864 - lightrag - INFO - get_node:query:MATCH (n:`HOME`) RETURN n:result:"Home symbolizes warmth, safety, and family connection, representing what Scrooge yearns for but has lost in his life."', 'source_id': 'chunk-c6c248858d1b13ab7ee9ca13c1aeed6bchunk-da2472b4ef2a535b62908f14d0fb0ca9'}> -2024-10-30 05:39:59,002 - lightrag - INFO - _do_upsert:query: - MERGE (n:`HOME`) - SET n += $properties - RETURN n - :result:{'entity_type': '"CONCEPT"', 'description': '"Home represents the physical and emotional center for the family, where the Christmas celebration takes place.""Home represents the physical and emotional center for the family, where the Christmas celebration takes place.""Home symbolizes warmth, safety, and family connection, representing what Scrooge yearns for but has lost in his life.""Home symbolizes warmth, safety, and family connection, representing what Scrooge yearns for but has lost in his life."', 'source_id': 'chunk-da2472b4ef2a535b62908f14d0fb0ca9chunk-c6c248858d1b13ab7ee9ca13c1aeed6b'} -2024-10-30 05:39:59,138 - lightrag - INFO - get_node:query:MATCH (n:`COACH`) RETURN n:result: -2024-10-30 05:39:59,279 - lightrag - INFO - _do_upsert:query: - MERGE (n:`COACH`) - SET n += $properties - RETURN n - :result:{'entity_type': '"CONCEPT"', 'description': '"The Coach is a means of transport that signifies the transition from Scrooge\'s lonely past to the possibility of companionship and warmth."', 'source_id': 'chunk-c6c248858d1b13ab7ee9ca13c1aeed6b'} -2024-10-30 05:39:59,410 - lightrag - INFO - get_node:query:MATCH (n:`THE SCHOOL`) RETURN n:result: -2024-10-30 05:39:59,550 - lightrag - INFO - _do_upsert:query: - MERGE (n:`THE SCHOOL`) - SET n += $properties - RETURN n - :result:{'entity_type': '"ORGANIZATION"', 'description': '"The School represents the institutional aspect of Scrooge\'s childhood, contrasting with the warmth and love represented by Fan."', 'source_id': 'chunk-c6c248858d1b13ab7ee9ca13c1aeed6b'} -2024-10-30 05:39:59,681 - lightrag - INFO - get_node:query:MATCH (n:`COLD`) RETURN n:result: -2024-10-30 05:39:59,819 - lightrag - INFO - _do_upsert:query: - MERGE (n:`COLD`) - SET n += $properties - RETURN n - :result:{'entity_type': '"CONCEPT"', 'description': '"Cold symbolizes the emotional detachment and isolation present in Scrooge\'s life, contrasting with the warmth of family and connection that he longs for."', 'source_id': 'chunk-c6c248858d1b13ab7ee9ca13c1aeed6b'} -2024-10-30 05:39:59,951 - lightrag - INFO - get_node:query:MATCH (n:`EVENING`) RETURN n:result: -2024-10-30 05:40:00,093 - lightrag - INFO - _do_upsert:query: - MERGE (n:`EVENING`) - SET n += $properties - RETURN n - :result:{'entity_type': '"EVENT"', 'description': '"Evening represents a time of transition and reflection as Scrooge recalls his past and seeks transformation."', 'source_id': 'chunk-c6c248858d1b13ab7ee9ca13c1aeed6b'} -2024-10-30 05:40:00,229 - lightrag - INFO - get_node:query:MATCH (n:`THE PARTY`) RETURN n:result:"The Party refers to the potential gathering for the funeral, which the characters consider with amusement rather than sincerity.""The Party refers to festive gatherings that Fezziwig hosts, showcasing joy and camaraderie during the Christmas season."', 'source_id': 'chunk-c6c248858d1b13ab7ee9ca13c1aeed6bchunk-94bea83e7153fc2064aa382b494936a1chunk-f1a4fbcf1ed86864b9bfd5e8dba4c683'}> -2024-10-30 05:40:00,366 - lightrag - INFO - _do_upsert:query: - MERGE (n:`THE PARTY`) - SET n += $properties - RETURN n - :result:{'entity_type': '"EVENT"', 'description': '"The Party is a festive gathering that celebrates Christmas, filled with games and joyful unity among friends and family.""The Party refers to the potential gathering for the funeral, which the characters consider with amusement rather than sincerity.""The Party refers to festive gatherings that Fezziwig hosts, showcasing joy and camaraderie during the Christmas season.""The Party refers to festive gatherings that Fezziwig hosts, showcasing joy and camaraderie during the Christmas season."', 'source_id': 'chunk-c6c248858d1b13ab7ee9ca13c1aeed6bchunk-f1a4fbcf1ed86864b9bfd5e8dba4c683chunk-94bea83e7153fc2064aa382b494936a1'} -2024-10-30 05:40:00,505 - lightrag - INFO - get_node:query:MATCH (n:`THE CHILDREN`) RETURN n:result:"The Children are a lively group in the matron\'s home, symbolizing joy, chaos, and familial warmth.""The Children in the Cratchit family represent innocence and curiosity, highlighting the effects of their family\'s struggles on their happiness.""The Children refer to the group of young individuals filled with wonder and delight during the Christmas festivities.""The Children serve as symbols of innocence and joy, representing the untainted happiness of childhood that Scrooge longs to reconnect with.""The children are the offspring of the Cratchit family, showcasing innocence and joy during the Christmas celebrations, reacting with laughter and cheer."', 'source_id': 'chunk-83ac129dc9b56f84c46760d153d68e93chunk-c6c248858d1b13ab7ee9ca13c1aeed6bchunk-19d72c57ae3408758b18d2568e86dc6bchunk-da2472b4ef2a535b62908f14d0fb0ca9chunk-54bdd22db1f84a965b5f4c06c9216d8d'}> -2024-10-30 05:40:00,645 - lightrag - INFO - _do_upsert:query: - MERGE (n:`THE CHILDREN`) - SET n += $properties - RETURN n - :result:{'entity_type': '"PERSON"', 'description': '"The Children are a group experiencing feelings of wonder and delight during the gift-giving scene, highlighting innocence and joy.""The Children are a group experiencing feelings of wonder and delight during the gift-giving scene, highlighting innocence and joy.""The Children are a lively group in the matron\'s home, symbolizing joy, chaos, and familial warmth.""The Children in the Cratchit family represent innocence and curiosity, highlighting the effects of their family\'s struggles on their happiness.""The Children refer to the group of young individuals filled with wonder and delight during the Christmas festivities.""The Children serve as symbols of innocence and joy, representing the untainted happiness of childhood that Scrooge longs to reconnect with.""The children are the offspring of the Cratchit family, showcasing innocence and joy during the Christmas celebrations, reacting with laughter and cheer.""The Children are a lively group in the matron\'s home, symbolizing joy, chaos, and familial warmth.""The Children in the Cratchit family represent innocence and curiosity, highlighting the effects of their family\'s struggles on their happiness.""The Children serve as symbols of innocence and joy, representing the untainted happiness of childhood that Scrooge longs to reconnect with.""The children are the offspring of the Cratchit family, showcasing innocence and joy during the Christmas celebrations, reacting with laughter and cheer."', 'source_id': 'chunk-83ac129dc9b56f84c46760d153d68e93chunk-19d72c57ae3408758b18d2568e86dc6bchunk-c6c248858d1b13ab7ee9ca13c1aeed6bchunk-da2472b4ef2a535b62908f14d0fb0ca9chunk-54bdd22db1f84a965b5f4c06c9216d8d'} -2024-10-30 05:40:00,781 - lightrag - INFO - get_node:query:MATCH (n:`A COACH TO BRING YOU HOME`) RETURN n:result: -2024-10-30 05:40:00,915 - lightrag - INFO - _do_upsert:query: - MERGE (n:`A COACH TO BRING YOU HOME`) - SET n += $properties - RETURN n - :result:{'entity_type': '"CONCEPT"', 'description': '"A Coach to Bring You Home symbolizes the hope and opportunity for reconnection and warmth in Scrooge\'s life."', 'source_id': 'chunk-c6c248858d1b13ab7ee9ca13c1aeed6b'} -2024-10-30 05:40:01,048 - lightrag - INFO - get_node:query:MATCH (n:`THE DANCERS`) RETURN n:result: -2024-10-30 05:40:01,185 - lightrag - INFO - _do_upsert:query: - MERGE (n:`THE DANCERS`) - SET n += $properties - RETURN n - :result:{'entity_type': '"ORGANIZATION"', 'description': '"The Dancers represent the lively group of people celebrating and participating in the festivities organized by Fezziwig."', 'source_id': 'chunk-8bc1edd983869352d14cf0886a9175a7'} -2024-10-30 05:40:01,317 - lightrag - INFO - get_node:query:MATCH (n:`THE FIDDLER`) RETURN n:result:"The Fiddler is a musician who plays during the festivities, contributing to the atmosphere of joy and celebration."', 'source_id': 'chunk-8bc1edd983869352d14cf0886a9175a7'}> -2024-10-30 05:40:01,456 - lightrag - INFO - _do_upsert:query: - MERGE (n:`THE FIDDLER`) - SET n += $properties - RETURN n - :result:{'entity_type': '"PERSON"', 'description': '"The Fiddler is a musician who plays at Fezziwig\'s celebration, providing music for the dancers and contributing to the festive atmosphere.""The Fiddler is a musician who plays at Fezziwig\'s celebration, providing music for the dancers and contributing to the festive atmosphere.""The Fiddler is a musician who plays during the festivities, contributing to the atmosphere of joy and celebration."', 'source_id': 'chunk-8bc1edd983869352d14cf0886a9175a7'} -2024-10-30 05:40:01,590 - lightrag - INFO - get_node:query:MATCH (n:`THE THREE MISS FEZZIWIGS`) RETURN n:result: -2024-10-30 05:40:01,729 - lightrag - INFO - _do_upsert:query: - MERGE (n:`THE THREE MISS FEZZIWIGS`) - SET n += $properties - RETURN n - :result:{'entity_type': '"PERSON"', 'description': '"The Three Miss Fezziwigs are jovial participants in the celebration, characterized by their lovable demeanor."', 'source_id': 'chunk-8bc1edd983869352d14cf0886a9175a7'} -2024-10-30 05:40:01,859 - lightrag - INFO - get_node:query:MATCH (n:`YOUNG FOLLOWERS`) RETURN n:result: -2024-10-30 05:40:02,002 - lightrag - INFO - _do_upsert:query: - MERGE (n:`YOUNG FOLLOWERS`) - SET n += $properties - RETURN n - :result:{'entity_type': '"ORGANIZATION"', 'description': '"The Young Followers consist of several young men and women who are employed in Fezziwig\'s business and participate in the festivities."', 'source_id': 'chunk-8bc1edd983869352d14cf0886a9175a7'} -2024-10-30 05:40:02,133 - lightrag - INFO - get_node:query:MATCH (n:`THE HOUSEMAID`) RETURN n:result:"The Housemaid is mentioned as part of the domestic staff involved in the celebration, contributing to the jovial atmosphere."', 'source_id': 'chunk-8bc1edd983869352d14cf0886a9175a7'}> -2024-10-30 05:40:02,271 - lightrag - INFO - _do_upsert:query: - MERGE (n:`THE HOUSEMAID`) - SET n += $properties - RETURN n - :result:{'entity_type': '"PERSON"', 'description': '"The Housemaid is a character present during the celebrations, contributing to the lively atmosphere of the evening.""The Housemaid is a character present during the celebrations, contributing to the lively atmosphere of the evening.""The Housemaid is mentioned as part of the domestic staff involved in the celebration, contributing to the jovial atmosphere."', 'source_id': 'chunk-8bc1edd983869352d14cf0886a9175a7'} -2024-10-30 05:40:02,403 - lightrag - INFO - get_node:query:MATCH (n:`THE COOK`) RETURN n:result:"The Cook is part of the household and participates in the festive gathering, alongside other staff."', 'source_id': 'chunk-8bc1edd983869352d14cf0886a9175a7'}> -2024-10-30 05:40:02,541 - lightrag - INFO - _do_upsert:query: - MERGE (n:`THE COOK`) - SET n += $properties - RETURN n - :result:{'entity_type': '"PERSON"', 'description': '"The Cook is another character involved in the celebrations, participating in the festivities alongside other guests.""The Cook is another character involved in the celebrations, participating in the festivities alongside other guests.""The Cook is part of the household and participates in the festive gathering, alongside other staff."', 'source_id': 'chunk-8bc1edd983869352d14cf0886a9175a7'} -2024-10-30 05:40:02,681 - lightrag - INFO - get_node:query:MATCH (n:`THE BAKER`) RETURN n:result:"The Baker is related to the Housemaid and present during the celebrations, adding to the communal aspect of the event."', 'source_id': 'chunk-8bc1edd983869352d14cf0886a9175a7'}> -2024-10-30 05:40:02,817 - lightrag - INFO - _do_upsert:query: - MERGE (n:`THE BAKER`) - SET n += $properties - RETURN n - :result:{'entity_type': '"PERSON"', 'description': '"The Baker is a cousin to the housemaid, indicating the interconnectedness of the household staff during the festivities.""The Baker is related to the Housemaid and present during the celebrations, adding to the communal aspect of the event.""The Baker is related to the Housemaid and present during the celebrations, adding to the communal aspect of the event."', 'source_id': 'chunk-8bc1edd983869352d14cf0886a9175a7'} -2024-10-30 05:40:02,955 - lightrag - INFO - get_node:query:MATCH (n:`THE BOY FROM OVER THE WAY`) RETURN n:result: -2024-10-30 05:40:03,092 - lightrag - INFO - _do_upsert:query: - MERGE (n:`THE BOY FROM OVER THE WAY`) - SET n += $properties - RETURN n - :result:{'entity_type': '"PERSON"', 'description': '"The Boy from Over the Way is a humorous character trying to hide behind another participant, showcasing the inclusiveness of the celebrations."', 'source_id': 'chunk-8bc1edd983869352d14cf0886a9175a7'} -2024-10-30 05:40:03,227 - lightrag - INFO - get_node:query:MATCH (n:`THE GIRL FROM NEXT DOOR`) RETURN n:result: -2024-10-30 05:40:03,365 - lightrag - INFO - _do_upsert:query: - MERGE (n:`THE GIRL FROM NEXT DOOR`) - SET n += $properties - RETURN n - :result:{'entity_type': '"PERSON"', 'description': '"The Girl from Next Door is referenced as hiding from the Boy, illustrating the interactions during the event."', 'source_id': 'chunk-8bc1edd983869352d14cf0886a9175a7'} -2024-10-30 05:40:03,496 - lightrag - INFO - get_node:query:MATCH (n:`DICK`) RETURN n:result:"Dick is associated with Scrooge\'s former self, evoking nostalgic memories as Scrooge witnesses the past."', 'source_id': 'chunk-b2f98bc7abb0c67d4c86055c7fd72218'}> -2024-10-30 05:40:03,642 - lightrag - INFO - _do_upsert:query: - MERGE (n:`DICK`) - SET n += $properties - RETURN n - :result:{'entity_type': '"PERSON"', 'description': '"Dick is a character from Scrooge\'s past, reminisced about during the scene, representing the camaraderie shared during the ball.""Dick is associated with Scrooge\'s former self, evoking nostalgic memories as Scrooge witnesses the past.""Dick is associated with Scrooge\'s former self, evoking nostalgic memories as Scrooge witnesses the past."', 'source_id': 'chunk-b2f98bc7abb0c67d4c86055c7fd72218'} -2024-10-30 05:40:03,776 - lightrag - INFO - get_node:query:MATCH (n:`THE GHOST OF CHRISTMAS PAST`) RETURN n:result:"The Ghost of Christmas Past is a supernatural entity that shows Scrooge moments from his past, eliciting reflection and emotion.""The Ghost of Christmas Past represents Scrooge\'s history and helps him confront his former self and decisions made in life."', 'source_id': 'chunk-90b95db5c53e4364a6bee36b7aa4d70fchunk-b2f98bc7abb0c67d4c86055c7fd72218'}> -2024-10-30 05:40:03,915 - lightrag - INFO - _do_upsert:query: - MERGE (n:`THE GHOST OF CHRISTMAS PAST`) - SET n += $properties - RETURN n - :result:{'entity_type': '"EVENT"', 'description': '"The Ghost of Christmas Past is a supernatural entity that allows Scrooge to revisit and reflect on his previous life experiences.""The Ghost of Christmas Past is a supernatural entity that allows Scrooge to revisit and reflect on his previous life experiences.""The Ghost of Christmas Past is a supernatural entity that shows Scrooge moments from his past, eliciting reflection and emotion.""The Ghost of Christmas Past represents Scrooge\'s history and helps him confront his former self and decisions made in life.""The Ghost of Christmas Past represents Scrooge\'s history and helps him confront his former self and decisions made in life."', 'source_id': 'chunk-90b95db5c53e4364a6bee36b7aa4d70fchunk-b2f98bc7abb0c67d4c86055c7fd72218'} -2024-10-30 05:40:04,050 - lightrag - INFO - get_node:query:MATCH (n:`THE DOMESTIC BALL`) RETURN n:result:"The Domestic Ball represents a joyful gathering, fostering a sense of community and happiness among the participants."', 'source_id': 'chunk-b2f98bc7abb0c67d4c86055c7fd72218'}> -2024-10-30 05:40:04,188 - lightrag - INFO - _do_upsert:query: - MERGE (n:`THE DOMESTIC BALL`) - SET n += $properties - RETURN n - :result:{'entity_type': '"EVENT"', 'description': '"The Domestic Ball is a joyful celebration organized by Fezziwig, where guests enjoy dancing and merry exchanges.""The Domestic Ball represents a joyful gathering, fostering a sense of community and happiness among the participants.""The Domestic Ball represents a joyful gathering, fostering a sense of community and happiness among the participants."', 'source_id': 'chunk-b2f98bc7abb0c67d4c86055c7fd72218'} -2024-10-30 05:40:04,324 - lightrag - INFO - get_node:query:MATCH (n:`THE TWO APPRENTICES`) RETURN n:result:"The Two Apprentices are characters present at the Domestic Ball, who express gratitude and admiration for Fezziwig after the event."', 'source_id': 'chunk-b2f98bc7abb0c67d4c86055c7fd72218'}> -2024-10-30 05:40:04,462 - lightrag - INFO - _do_upsert:query: - MERGE (n:`THE TWO APPRENTICES`) - SET n += $properties - RETURN n - :result:{'entity_type': '"PERSON"', 'description': '"The Two Apprentices are characters from Fezziwig\'s establishment who express gratitude and admiration for Fezziwig\'s positive influence during the Domestic Ball.""The Two Apprentices are characters present at the Domestic Ball, who express gratitude and admiration for Fezziwig after the event.""The Two Apprentices are characters present at the Domestic Ball, who express gratitude and admiration for Fezziwig after the event."', 'source_id': 'chunk-b2f98bc7abb0c67d4c86055c7fd72218'} -2024-10-30 05:40:04,593 - lightrag - INFO - get_node:query:MATCH (n:`THE GOLDEN IDOL`) RETURN n:result: -2024-10-30 05:40:04,732 - lightrag - INFO - _do_upsert:query: - MERGE (n:`THE GOLDEN IDOL`) - SET n += $properties - RETURN n - :result:{'entity_type': '"CONCEPT"', 'description': '"The Golden Idol symbolizes materialism and the pursuit of wealth, indicating a shift in Scrooge\'s values over time."', 'source_id': 'chunk-b2f98bc7abb0c67d4c86055c7fd72218'} -2024-10-30 05:40:04,862 - lightrag - INFO - get_node:query:MATCH (n:`THE PRIME OF LIFE`) RETURN n:result: -2024-10-30 05:40:05,000 - lightrag - INFO - _do_upsert:query: - MERGE (n:`THE PRIME OF LIFE`) - SET n += $properties - RETURN n - :result:{'entity_type': '"EVENT"', 'description': '"The Prime of Life refers to a phase in Scrooge\'s youth when he was more carefree before becoming hardened by greed."', 'source_id': 'chunk-b2f98bc7abb0c67d4c86055c7fd72218'} -2024-10-30 05:40:05,132 - lightrag - INFO - get_node:query:MATCH (n:`THE MOURNING DRESS`) RETURN n:result: -2024-10-30 05:40:05,274 - lightrag - INFO - _do_upsert:query: - MERGE (n:`THE MOURNING DRESS`) - SET n += $properties - RETURN n - :result:{'entity_type': '"CONCEPT"', 'description': '"The Mourning Dress symbolizes loss and separation, highlighting the emotional distance between Scrooge and his former love."', 'source_id': 'chunk-b2f98bc7abb0c67d4c86055c7fd72218'} -2024-10-30 05:40:05,405 - lightrag - INFO - get_node:query:MATCH (n:`THE BEAUTIFUL YOUNG GIRL`) RETURN n:result: -2024-10-30 05:40:05,547 - lightrag - INFO - _do_upsert:query: - MERGE (n:`THE BEAUTIFUL YOUNG GIRL`) - SET n += $properties - RETURN n - :result:{'entity_type': '"PERSON"', 'description': '"The Beautiful Young Girl is a figure from Scrooge\'s past, representing lost opportunities and innocence."', 'source_id': 'chunk-54bdd22db1f84a965b5f4c06c9216d8d'} -2024-10-30 05:40:05,682 - lightrag - INFO - get_node:query:MATCH (n:`THE COMELY MATRON`) RETURN n:result: -2024-10-30 05:40:05,817 - lightrag - INFO - _do_upsert:query: - MERGE (n:`THE COMELY MATRON`) - SET n += $properties - RETURN n - :result:{'entity_type': '"PERSON"', 'description': '"The Comely Matron is the grown-up version of the Beautiful Young Girl, emphasizing change and the passage of time."', 'source_id': 'chunk-54bdd22db1f84a965b5f4c06c9216d8d'} -2024-10-30 05:40:05,949 - lightrag - INFO - get_node:query:MATCH (n:`CHRISTMAS TOYS AND PRESENTS`) RETURN n:result:"Christmas Toys and Presents are associated with joy and celebration, marking the festive occasion and the love shared among family.""Christmas Toys and Presents signify the spirit of giving and the excitement that surrounds the holiday season, especially for children."', 'source_id': 'chunk-54bdd22db1f84a965b5f4c06c9216d8dchunk-da2472b4ef2a535b62908f14d0fb0ca9'}> -2024-10-30 05:40:06,084 - lightrag - INFO - _do_upsert:query: - MERGE (n:`CHRISTMAS TOYS AND PRESENTS`) - SET n += $properties - RETURN n - :result:{'entity_type': '"EVENT"', 'description': '"Christmas Toys and Presents are associated with familial love and joy, as they arrive with the father, enhancing the holiday spirit.""Christmas Toys and Presents are associated with familial love and joy, as they arrive with the father, enhancing the holiday spirit.""Christmas Toys and Presents are associated with joy and celebration, marking the festive occasion and the love shared among family.""Christmas Toys and Presents signify the spirit of giving and the excitement that surrounds the holiday season, especially for children.""Christmas Toys and Presents signify the spirit of giving and the excitement that surrounds the holiday season, especially for children."', 'source_id': 'chunk-da2472b4ef2a535b62908f14d0fb0ca9chunk-54bdd22db1f84a965b5f4c06c9216d8d'} -2024-10-30 05:40:06,232 - lightrag - INFO - get_node:query:MATCH (n:`THE ROOM`) RETURN n:result: -2024-10-30 05:40:06,375 - lightrag - INFO - _do_upsert:query: - MERGE (n:`THE ROOM`) - SET n += $properties - RETURN n - :result:{'entity_type': '"GEO"', 'description': '"The Room is described as a cozy, comfortable setting where the comely matron and her children interact during festive times."', 'source_id': 'chunk-54bdd22db1f84a965b5f4c06c9216d8d'} -2024-10-30 05:40:06,508 - lightrag - INFO - get_node:query:MATCH (n:`THE WINTER FIRE`) RETURN n:result: -2024-10-30 05:40:06,645 - lightrag - INFO - _do_upsert:query: - MERGE (n:`THE WINTER FIRE`) - SET n += $properties - RETURN n - :result:{'entity_type': '"EVENT"', 'description': '"The Winter Fire represents warmth and comfort in the room where the matron and children gather, enhancing the festive atmosphere."', 'source_id': 'chunk-54bdd22db1f84a965b5f4c06c9216d8d'} -2024-10-30 05:40:06,781 - lightrag - INFO - get_node:query:MATCH (n:`THE FATHER`) RETURN n:result:"The Father is a character who returns home and is greeted with excitement, embodying family warmth and joy during Christmas celebrations.""The Father is a character who returns home with presents, symbolizing the joy of family and the spirit of giving during Christmas."', 'source_id': 'chunk-54bdd22db1f84a965b5f4c06c9216d8dchunk-da2472b4ef2a535b62908f14d0fb0ca9'}> -2024-10-30 05:40:06,918 - lightrag - INFO - _do_upsert:query: - MERGE (n:`THE FATHER`) - SET n += $properties - RETURN n - :result:{'entity_type': '"PERSON"', 'description': '"The Father is a character who arrives home with Christmas presents, symbolizing familial joy and festive spirit.""The Father is a character who returns home and is greeted with excitement, embodying family warmth and joy during Christmas celebrations.""The Father is a character who returns home with presents, symbolizing the joy of family and the spirit of giving during Christmas.""The Father is a character who returns home and is greeted with excitement, embodying family warmth and joy during Christmas celebrations.""The Father is a character who returns home with presents, symbolizing the joy of family and the spirit of giving during Christmas."', 'source_id': 'chunk-da2472b4ef2a535b62908f14d0fb0ca9chunk-54bdd22db1f84a965b5f4c06c9216d8d'} -2024-10-30 05:40:07,052 - lightrag - INFO - get_node:query:MATCH (n:`THE YOUNG BRIGANDS`) RETURN n:result: -2024-10-30 05:40:07,187 - lightrag - INFO - _do_upsert:query: - MERGE (n:`THE YOUNG BRIGANDS`) - SET n += $properties - RETURN n - :result:{'entity_type': '"PERSON"', 'description': '"The Young Brigands are a playful group of children engaged in merriment and mischief during the festive celebration."', 'source_id': 'chunk-54bdd22db1f84a965b5f4c06c9216d8d'} -2024-10-30 05:40:07,326 - lightrag - INFO - get_node:query:MATCH (n:`THE DOWERLESS GIRL`) RETURN n:result: -2024-10-30 05:40:07,468 - lightrag - INFO - _do_upsert:query: - MERGE (n:`THE DOWERLESS GIRL`) - SET n += $properties - RETURN n - :result:{'entity_type': '"PERSON"', 'description': '"The Dowerless Girl is a symbolic representation of the limitations in relationships based on social and economic status as reflected in Scrooge\'s dialogue."', 'source_id': 'chunk-54bdd22db1f84a965b5f4c06c9216d8d'} -2024-10-30 05:40:07,604 - lightrag - INFO - get_node:query:MATCH (n:`THE MEMORY`) RETURN n:result: -2024-10-30 05:40:07,741 - lightrag - INFO - _do_upsert:query: - MERGE (n:`THE MEMORY`) - SET n += $properties - RETURN n - :result:{'entity_type': '"CONCEPT"', 'description': '"The Memory refers to the recollections of past relationships and feelings that haunt Scrooge as he contemplates his choices."', 'source_id': 'chunk-54bdd22db1f84a965b5f4c06c9216d8d'} -2024-10-30 05:40:07,879 - lightrag - INFO - get_node:query:MATCH (n:`HAPPINESS`) RETURN n:result: -2024-10-30 05:40:08,014 - lightrag - INFO - _do_upsert:query: - MERGE (n:`HAPPINESS`) - SET n += $properties - RETURN n - :result:{'entity_type': '"CONCEPT"', 'description': '"Happiness signifies the conflicting emotions Scrooge feels regarding past love and the reality of his current life choices."', 'source_id': 'chunk-54bdd22db1f84a965b5f4c06c9216d8d'} -2024-10-30 05:40:08,146 - lightrag - INFO - get_node:query:MATCH (n:`HOPE`) RETURN n:result:"Hope represents the aspirations and dreams that characters have, particularly in the context of the matron\'s optimistic nature."', 'source_id': 'chunk-83ac129dc9b56f84c46760d153d68e93chunk-54bdd22db1f84a965b5f4c06c9216d8d'}> -2024-10-30 05:40:08,284 - lightrag - INFO - _do_upsert:query: - MERGE (n:`HOPE`) - SET n += $properties - RETURN n - :result:{'entity_type': '"CONCEPT"', 'description': '"Hope emerges as a central theme in the characters\' lives, particularly through Caroline\'s reaction to news about the husband and the family\'s future.""Hope emerges as a central theme in the characters\' lives, particularly through Caroline\'s reaction to news about the husband and the family\'s future.""Hope represents the aspirations and dreams that characters have, particularly in the context of the matron\'s optimistic nature.""Hope represents the aspirations and dreams that characters have, particularly in the context of the matron\'s optimistic nature."', 'source_id': 'chunk-54bdd22db1f84a965b5f4c06c9216d8dchunk-83ac129dc9b56f84c46760d153d68e93'} -2024-10-30 05:40:08,420 - lightrag - INFO - get_node:query:MATCH (n:`BELLE`) RETURN n:result:"Belle is Scrooge\'s former love, evidence of care and affection, now mentioned in the context of Scrooge’s memories."', 'source_id': 'chunk-da2472b4ef2a535b62908f14d0fb0ca9'}> -2024-10-30 05:40:08,559 - lightrag - INFO - _do_upsert:query: - MERGE (n:`BELLE`) - SET n += $properties - RETURN n - :result:{'entity_type': '"PERSON"', 'description': '"Belle is Scrooge\'s former love whose presence evokes strong feelings of longing and sorrow in Scrooge.""Belle is Scrooge\'s former love, evidence of care and affection, now mentioned in the context of Scrooge’s memories.""Belle is Scrooge\'s former love, evidence of care and affection, now mentioned in the context of Scrooge’s memories."', 'source_id': 'chunk-da2472b4ef2a535b62908f14d0fb0ca9'} -2024-10-30 05:40:08,695 - lightrag - INFO - get_node:query:MATCH (n:`THE OFFICE`) RETURN n:result:"The Office refers to Scrooge\'s workplace, emphasizing his isolation and the business-focused nature of his life.""The Office refers to the workplace where Scrooge and Bob Cratchit interact, highlighting the power dynamics and work-related tension."', 'source_id': 'chunk-91572b3cd42786ba4cb2f180ca25cbf4chunk-94bea83e7153fc2064aa382b494936a1chunk-da2472b4ef2a535b62908f14d0fb0ca9'}> -2024-10-30 05:40:08,835 - lightrag - INFO - _do_upsert:query: - MERGE (n:`THE OFFICE`) - SET n += $properties - RETURN n - :result:{'entity_type': '"ORGANIZATION"', 'description': '"The Office is Scrooge\'s workplace, signifying his past life and the memories associated with his business dealings.""The Office is Scrooge\'s workplace, signifying his past life and the memories associated with his business dealings.""The Office refers to Scrooge\'s workplace, emphasizing his isolation and the business-focused nature of his life.""The Office refers to the workplace where Scrooge and Bob Cratchit interact, highlighting the power dynamics and work-related tension.""The Office refers to Scrooge\'s workplace, emphasizing his isolation and the business-focused nature of his life.""The Office refers to the workplace where Scrooge and Bob Cratchit interact, highlighting the power dynamics and work-related tension."', 'source_id': 'chunk-da2472b4ef2a535b62908f14d0fb0ca9chunk-94bea83e7153fc2064aa382b494936a1chunk-91572b3cd42786ba4cb2f180ca25cbf4'} -2024-10-30 05:40:08,970 - lightrag - INFO - get_node:query:MATCH (n:`THE PORTER`) RETURN n:result:"The Porter is depicted as a defenseless character being playfully assaulted by the children during their festive excitement."', 'source_id': 'chunk-da2472b4ef2a535b62908f14d0fb0ca9'}> -2024-10-30 05:40:09,107 - lightrag - INFO - _do_upsert:query: - MERGE (n:`THE PORTER`) - SET n += $properties - RETURN n - :result:{'entity_type': '"PERSON"', 'description': '"The Porter is a character who becomes the target of playful affection from the children, showcasing innocence and chaos during celebrations.""The Porter is depicted as a defenseless character being playfully assaulted by the children during their festive excitement.""The Porter is depicted as a defenseless character being playfully assaulted by the children during their festive excitement."', 'source_id': 'chunk-da2472b4ef2a535b62908f14d0fb0ca9'} -2024-10-30 05:40:09,244 - lightrag - INFO - get_node:query:MATCH (n:`THE BABY`) RETURN n:result: -2024-10-30 05:40:09,383 - lightrag - INFO - _do_upsert:query: - MERGE (n:`THE BABY`) - SET n += $properties - RETURN n - :result:{'entity_type': '"PERSON"', 'description': '"The Baby is involved in a comical mishap concerning a doll\'s frying pan, symbolizing the innocence and curiosity of childhood."', 'source_id': 'chunk-da2472b4ef2a535b62908f14d0fb0ca9'} -2024-10-30 05:40:09,517 - lightrag - INFO - get_node:query:MATCH (n:`THE MOTHER`) RETURN n:result:"The Mother is a character associated with the family dynamics during the Christmas scene, though her actions are not explicitly detailed.""The Mother is depicted as a comely matron, who enjoys the laughter and chaos with her children, showing warmth and family value.""The Mother is a character who exhibits anxiety and hope as she awaits her husband\'s return, embodying the emotional depth of family relations during hardship.""The Mother is a character who shares a tender moment with her husband and daughter, representing familial love and connection."', 'source_id': 'chunk-83ac129dc9b56f84c46760d153d68e93chunk-54bdd22db1f84a965b5f4c06c9216d8dchunk-da2472b4ef2a535b62908f14d0fb0ca9'}> -2024-10-30 05:40:09,660 - lightrag - INFO - _do_upsert:query: - MERGE (n:`THE MOTHER`) - SET n += $properties - RETURN n - :result:{'entity_type': '"PERSON"', 'description': '"The Mother exemplifies apprehension and hope regarding her husband\'s return, depicting the emotional burden of waiting and uncertainty.""The Mother is a character associated with the family dynamics during the Christmas scene, though her actions are not explicitly detailed.""The Mother is depicted as a comely matron, who enjoys the laughter and chaos with her children, showing warmth and family value.""The Mother is a character who exhibits anxiety and hope as she awaits her husband\'s return, embodying the emotional depth of family relations during hardship.""The Mother is a character who shares a tender moment with her husband and daughter, representing familial love and connection.""The Mother is a character who exhibits anxiety and hope as she awaits her husband\'s return, embodying the emotional depth of family relations during hardship.""The Mother is a character who shares a tender moment with her husband and daughter, representing familial love and connection."', 'source_id': 'chunk-da2472b4ef2a535b62908f14d0fb0ca9chunk-54bdd22db1f84a965b5f4c06c9216d8dchunk-83ac129dc9b56f84c46760d153d68e93'} -2024-10-30 05:40:09,796 - lightrag - INFO - get_node:query:MATCH (n:`CITY`) RETURN n:result:"The City represents the urban setting where Scrooge witnesses the indifference of its inhabitants regarding his death.""The City represents the urban setting where Scrooge\'s transformation takes place, symbolizing the broader society impacted by his changes.""The City serves as a backdrop where various scenes unfold, representing the hustle of life and economic concerns.""The City symbolizes the urban setting where Scrooge\'s transformation takes place, primarily depicting the contrast between Scrooge\'s isolation and the outer world filled with festivities."', 'source_id': 'chunk-02baee20cc9463dbe08170a8e1043e32chunk-94bea83e7153fc2064aa382b494936a1chunk-843b5b2f944c7413d9ca876e2e2f151f'}> -2024-10-30 05:40:09,934 - lightrag - INFO - _do_upsert:query: - MERGE (n:`CITY`) - SET n += $properties - RETURN n - :result:{'entity_type': '"GEO"', 'description': '"The City refers to a generic location embodying the community and societal norms, with which Scrooge has a complex relationship.""The City represents the urban setting where Scrooge witnesses the indifference of its inhabitants regarding his death.""The City represents the urban setting where Scrooge\'s transformation takes place, symbolizing the broader society impacted by his changes.""The City serves as a backdrop where various scenes unfold, representing the hustle of life and economic concerns.""The City symbolizes the urban setting where Scrooge\'s transformation takes place, primarily depicting the contrast between Scrooge\'s isolation and the outer world filled with festivities.""The City serves as a backdrop where various scenes unfold, representing the hustle of life and economic concerns.""The City symbolizes the urban setting where Scrooge\'s transformation takes place, primarily depicting the contrast between Scrooge\'s isolation and the outer world filled with festivities."', 'source_id': 'chunk-843b5b2f944c7413d9ca876e2e2f151fchunk-94bea83e7153fc2064aa382b494936a1chunk-02baee20cc9463dbe08170a8e1043e32'} -2024-10-30 05:40:10,072 - lightrag - INFO - get_node:query:MATCH (n:`SPIRIT`) RETURN n:result:"The Spirit embodies the lessons of compassion and social responsibility, guiding Scrooge through his reflections and realizations.""The Spirit is the manifestation of Scrooge\'s past that guides him through his memories, representing his former self and the influence of time.""The Spirit represents a ghostly entity, guiding Scrooge through visions of potential future events and urging him to acknowledge societal issues.""The Spirit represents a supernatural entity guiding Scrooge through his reflections on life, death, and human emotions, prompting self-awareness.""The Spirit represents the embodiment of the Christmas present, personifying the themes of generosity and merriment.""The Spirit refers to the Ghost of Christmas Present, which embodies the essence of the Christmas season and serves as a guide for Scrooge.""The Spirit represents a ghostly figure guiding Scrooge through reflections related to a death, illustrating lessons about life and mortality.""The Spirit represents a supernatural being guiding Scrooge through lessons about the consequences of his actions and the future.""The Spirit represents a supernatural entity guiding Scrooge and teaching him lessons about compassion and humanity."', 'source_id': 'chunk-e7637ff18c5ded77a68cce0a87883fadchunk-83ac129dc9b56f84c46760d153d68e93chunk-02baee20cc9463dbe08170a8e1043e32chunk-bb21d58d36c6306fd8810ddd51c4a971chunk-1aa50206d02ed89418f65f97c6441d1cchunk-843b5b2f944c7413d9ca876e2e2f151f'}> -2024-10-30 05:40:10,209 - lightrag - INFO - _do_upsert:query: - MERGE (n:`SPIRIT`) - SET n += $properties - RETURN n - :result:{'entity_type': '"EVENT"', 'description': '"Spirit represents the essence of Marley that is attempting to interact with Scrooge, indicating themes of afterlife and unresolved issues.""The Spirit embodies the lessons of compassion and social responsibility, guiding Scrooge through his reflections and realizations.""The Spirit is the manifestation of Scrooge\'s past that guides him through his memories, representing his former self and the influence of time.""The Spirit represents a ghostly entity, guiding Scrooge through visions of potential future events and urging him to acknowledge societal issues.""The Spirit represents a supernatural entity guiding Scrooge through his reflections on life, death, and human emotions, prompting self-awareness.""The Spirit represents the embodiment of the Christmas present, personifying the themes of generosity and merriment.""The Spirit refers to the Ghost of Christmas Present, which embodies the essence of the Christmas season and serves as a guide for Scrooge.""The Spirit represents a ghostly figure guiding Scrooge through reflections related to a death, illustrating lessons about life and mortality.""The Spirit represents a supernatural being guiding Scrooge through lessons about the consequences of his actions and the future.""The Spirit represents a supernatural entity guiding Scrooge and teaching him lessons about compassion and humanity.""The Spirit refers to the Ghost of Christmas Present, which embodies the essence of the Christmas season and serves as a guide for Scrooge.""The Spirit represents a ghostly figure guiding Scrooge through reflections related to a death, illustrating lessons about life and mortality.""The Spirit represents a supernatural being guiding Scrooge through lessons about the consequences of his actions and the future.""The Spirit represents a supernatural entity guiding Scrooge and teaching him lessons about compassion and humanity."', 'source_id': 'chunk-843b5b2f944c7413d9ca876e2e2f151fchunk-e7637ff18c5ded77a68cce0a87883fadchunk-83ac129dc9b56f84c46760d153d68e93chunk-1aa50206d02ed89418f65f97c6441d1cchunk-bb21d58d36c6306fd8810ddd51c4a971chunk-02baee20cc9463dbe08170a8e1043e32'} -2024-10-30 05:40:10,345 - lightrag - INFO - get_node:query:MATCH (n:`MISTLETOE`) RETURN n:result:"Mistletoe is a traditional plant used for decoration during Christmas, symbolizing joy and a festive spirit.""Mistletoe is described in the context of Christmas decorations, often used for kissing and holiday celebrations."', 'source_id': 'chunk-99b0ec7f7e006561352b5d65e849611dchunk-843b5b2f944c7413d9ca876e2e2f151f'}> -2024-10-30 05:40:10,487 - lightrag - INFO - _do_upsert:query: - MERGE (n:`MISTLETOE`) - SET n += $properties - RETURN n - :result:{'entity_type': '"ORGANIZATION"', 'description': '"Mistletoe is a plant used as a Christmas decoration, symbolizing love and goodwill during the holiday season.""Mistletoe is a plant used as a Christmas decoration, symbolizing love and goodwill during the holiday season.""Mistletoe is a traditional plant used for decoration during Christmas, symbolizing joy and a festive spirit.""Mistletoe is described in the context of Christmas decorations, often used for kissing and holiday celebrations.""Mistletoe is described in the context of Christmas decorations, often used for kissing and holiday celebrations."', 'source_id': 'chunk-843b5b2f944c7413d9ca876e2e2f151fchunk-99b0ec7f7e006561352b5d65e849611d'} -2024-10-30 05:40:10,622 - lightrag - INFO - get_node:query:MATCH (n:`RED BERRIES`) RETURN n:result:"Red Berries are festive decorations representing the colors of Christmas, enhancing the holiday atmosphere."', 'source_id': 'chunk-99b0ec7f7e006561352b5d65e849611dchunk-843b5b2f944c7413d9ca876e2e2f151f'}> -2024-10-30 05:40:10,760 - lightrag - INFO - _do_upsert:query: - MERGE (n:`RED BERRIES`) - SET n += $properties - RETURN n - :result:{'entity_type': '"ORGANIZATION"', 'description': '"Red Berries are decorative elements commonly used during Christmas decorations, adding color and festivity.""Red Berries are decorative elements commonly used during Christmas decorations, adding color and festivity.""Red Berries are festive decorations representing the colors of Christmas, enhancing the holiday atmosphere.""Red Berries are festive decorations representing the colors of Christmas, enhancing the holiday atmosphere."', 'source_id': 'chunk-843b5b2f944c7413d9ca876e2e2f151fchunk-99b0ec7f7e006561352b5d65e849611d'} -2024-10-30 05:40:10,894 - lightrag - INFO - get_node:query:MATCH (n:`TURKEYS`) RETURN n:result:"Turkeys represent a common food item associated with the Christmas feast, highlighting the culinary aspects of the celebration.""Turkeys are food items prominently featured in Christmas meals, representing a festive celebration of the holiday.""Turkeys are part of the Christmas feast, symbolizing the abundance and sharing associated with the holiday."', 'source_id': 'chunk-99b0ec7f7e006561352b5d65e849611dchunk-843b5b2f944c7413d9ca876e2e2f151f'}> -2024-10-30 05:40:11,032 - lightrag - INFO - _do_upsert:query: - MERGE (n:`TURKEYS`) - SET n += $properties - RETURN n - :result:{'entity_type': '"ORGANIZATION"', 'description': '"Turkeys are described as part of a lavish spread that symbolizes the abundance and joy of the Christmas season.""Turkeys represent a common food item associated with the Christmas feast, highlighting the culinary aspects of the celebration.""Turkeys are food items prominently featured in Christmas meals, representing a festive celebration of the holiday.""Turkeys are part of the Christmas feast, symbolizing the abundance and sharing associated with the holiday.""Turkeys are food items prominently featured in Christmas meals, representing a festive celebration of the holiday.""Turkeys are part of the Christmas feast, symbolizing the abundance and sharing associated with the holiday."', 'source_id': 'chunk-843b5b2f944c7413d9ca876e2e2f151fchunk-99b0ec7f7e006561352b5d65e849611d'} -2024-10-30 05:40:11,168 - lightrag - INFO - get_node:query:MATCH (n:`POULTRY`) RETURN n:result:"Poultry refers to various birds used for Christmas meals, representing the culinary traditions of the holiday.""Poultry represents a variety of birds that are often prepared for Christmas dinners, enhancing the festive festivities."', 'source_id': 'chunk-99b0ec7f7e006561352b5d65e849611dchunk-843b5b2f944c7413d9ca876e2e2f151f'}> -2024-10-30 05:40:11,305 - lightrag - INFO - _do_upsert:query: - MERGE (n:`POULTRY`) - SET n += $properties - RETURN n - :result:{'entity_type': '"ORGANIZATION"', 'description': '"Poultry is another aspect of the Christmas feast, representing the various traditions of holiday meals.""Poultry is another aspect of the Christmas feast, representing the various traditions of holiday meals.""Poultry refers to various birds used for Christmas meals, representing the culinary traditions of the holiday.""Poultry represents a variety of birds that are often prepared for Christmas dinners, enhancing the festive festivities.""Poultry represents a variety of birds that are often prepared for Christmas dinners, enhancing the festive festivities."', 'source_id': 'chunk-843b5b2f944c7413d9ca876e2e2f151fchunk-99b0ec7f7e006561352b5d65e849611d'} -2024-10-30 05:40:11,441 - lightrag - INFO - get_node:query:MATCH (n:`MEAT`) RETURN n:result:"Meat serves as a general representation of the food consumed during Christmas celebrations, contributing to the holiday meals."', 'source_id': 'chunk-99b0ec7f7e006561352b5d65e849611dchunk-843b5b2f944c7413d9ca876e2e2f151f'}> -2024-10-30 05:40:11,580 - lightrag - INFO - _do_upsert:query: - MERGE (n:`MEAT`) - SET n += $properties - RETURN n - :result:{'entity_type': '"ORGANIZATION"', 'description': '"Meat refers to a significant part of the Christmas feast, further emphasizing the theme of abundance during the holiday.""Meat refers to a significant part of the Christmas feast, further emphasizing the theme of abundance during the holiday.""Meat serves as a general representation of the food consumed during Christmas celebrations, contributing to the holiday meals.""Meat serves as a general representation of the food consumed during Christmas celebrations, contributing to the holiday meals."', 'source_id': 'chunk-843b5b2f944c7413d9ca876e2e2f151fchunk-99b0ec7f7e006561352b5d65e849611d'} -2024-10-30 05:40:11,714 - lightrag - INFO - get_node:query:MATCH (n:`SAUSAGES`) RETURN n:result:"Sausages are food items mentioned that may be served during Christmas festivities, adding to the variety of traditional foods.""Sausages contribute to the rich variety of foods present at the celebration, reflecting festive abundance."', 'source_id': 'chunk-99b0ec7f7e006561352b5d65e849611dchunk-843b5b2f944c7413d9ca876e2e2f151f'}> -2024-10-30 05:40:11,853 - lightrag - INFO - _do_upsert:query: - MERGE (n:`SAUSAGES`) - SET n += $properties - RETURN n - :result:{'entity_type': '"ORGANIZATION"', 'description': '"Sausages are festive foods that complement the traditional Christmas meal, adding to the variety of the feast.""Sausages are festive foods that complement the traditional Christmas meal, adding to the variety of the feast.""Sausages are food items mentioned that may be served during Christmas festivities, adding to the variety of traditional foods.""Sausages contribute to the rich variety of foods present at the celebration, reflecting festive abundance.""Sausages are food items mentioned that may be served during Christmas festivities, adding to the variety of traditional foods."', 'source_id': 'chunk-843b5b2f944c7413d9ca876e2e2f151fchunk-99b0ec7f7e006561352b5d65e849611d'} -2024-10-30 05:40:11,984 - lightrag - INFO - get_node:query:MATCH (n:`OYSTERS`) RETURN n:result:"Oysters represent a delicacy often served during Christmas, symbolizing luxury and celebration."', 'source_id': 'chunk-99b0ec7f7e006561352b5d65e849611dchunk-843b5b2f944c7413d9ca876e2e2f151f'}> -2024-10-30 05:40:12,121 - lightrag - INFO - _do_upsert:query: - MERGE (n:`OYSTERS`) - SET n += $properties - RETURN n - :result:{'entity_type': '"ORGANIZATION"', 'description': '"Oysters are considered delicacies that can enhance special occasions such as Christmas, indicating celebratory dining.""Oysters are considered delicacies that can enhance special occasions such as Christmas, indicating celebratory dining.""Oysters represent a delicacy often served during Christmas, symbolizing luxury and celebration.""Oysters represent a delicacy often served during Christmas, symbolizing luxury and celebration."', 'source_id': 'chunk-843b5b2f944c7413d9ca876e2e2f151fchunk-99b0ec7f7e006561352b5d65e849611d'} -2024-10-30 05:40:12,257 - lightrag - INFO - get_node:query:MATCH (n:`PIES`) RETURN n:result:"Pies, often sweet, are traditional desserts served during Christmas, symbolizing festive dessert offerings."', 'source_id': 'chunk-99b0ec7f7e006561352b5d65e849611dchunk-843b5b2f944c7413d9ca876e2e2f151f'}> -2024-10-30 05:40:12,399 - lightrag - INFO - _do_upsert:query: - MERGE (n:`PIES`) - SET n += $properties - RETURN n - :result:{'entity_type': '"ORGANIZATION"', 'description': '"Pies are a traditional dessert during the Christmas season, embodying the spirit of sharing and celebration.""Pies are a traditional dessert during the Christmas season, embodying the spirit of sharing and celebration.""Pies, often sweet, are traditional desserts served during Christmas, symbolizing festive dessert offerings.""Pies, often sweet, are traditional desserts served during Christmas, symbolizing festive dessert offerings."', 'source_id': 'chunk-843b5b2f944c7413d9ca876e2e2f151fchunk-99b0ec7f7e006561352b5d65e849611d'} -2024-10-30 05:40:12,535 - lightrag - INFO - get_node:query:MATCH (n:`PUDDINGS`) RETURN n:result:"Puddings are showcased as a traditional dessert during Christmas celebrations, central to holiday meals."', 'source_id': 'chunk-99b0ec7f7e006561352b5d65e849611dchunk-843b5b2f944c7413d9ca876e2e2f151f'}> -2024-10-30 05:40:12,672 - lightrag - INFO - _do_upsert:query: - MERGE (n:`PUDDINGS`) - SET n += $properties - RETURN n - :result:{'entity_type': '"ORGANIZATION"', 'description': '"Puddings are a classic Christmas dessert, symbolizing warmth and indulgence during the holiday.""Puddings are a classic Christmas dessert, symbolizing warmth and indulgence during the holiday.""Puddings are showcased as a traditional dessert during Christmas celebrations, central to holiday meals.""Puddings are showcased as a traditional dessert during Christmas celebrations, central to holiday meals."', 'source_id': 'chunk-843b5b2f944c7413d9ca876e2e2f151fchunk-99b0ec7f7e006561352b5d65e849611d'} -2024-10-30 05:40:12,809 - lightrag - INFO - get_node:query:MATCH (n:`FRUIT`) RETURN n:result:"Fruit represents the fresh produce that accompanies holiday meals, bringing color and variety to the Christmas table."', 'source_id': 'chunk-99b0ec7f7e006561352b5d65e849611dchunk-843b5b2f944c7413d9ca876e2e2f151f'}> -2024-10-30 05:40:12,946 - lightrag - INFO - _do_upsert:query: - MERGE (n:`FRUIT`) - SET n += $properties - RETURN n - :result:{'entity_type': '"ORGANIZATION"', 'description': '"Fruit represents a staple part of the Christmas spread, emphasizing freshness and the joy of sharing.""Fruit represents a staple part of the Christmas spread, emphasizing freshness and the joy of sharing.""Fruit represents the fresh produce that accompanies holiday meals, bringing color and variety to the Christmas table.""Fruit represents the fresh produce that accompanies holiday meals, bringing color and variety to the Christmas table."', 'source_id': 'chunk-843b5b2f944c7413d9ca876e2e2f151fchunk-99b0ec7f7e006561352b5d65e849611d'} -2024-10-30 05:40:13,077 - lightrag - INFO - get_node:query:MATCH (n:`PUNCH`) RETURN n:result:"Punch refers to a festive drink that is often served at Christmas gatherings, contributing to the celebration."', 'source_id': 'chunk-99b0ec7f7e006561352b5d65e849611dchunk-843b5b2f944c7413d9ca876e2e2f151f'}> -2024-10-30 05:40:13,214 - lightrag - INFO - _do_upsert:query: - MERGE (n:`PUNCH`) - SET n += $properties - RETURN n - :result:{'entity_type': '"ORGANIZATION"', 'description': '"Punch is a festive beverage that is often served during Christmas celebrations, adding to the holiday spirit.""Punch is a festive beverage that is often served during Christmas celebrations, adding to the holiday spirit.""Punch refers to a festive drink that is often served at Christmas gatherings, contributing to the celebration.""Punch refers to a festive drink that is often served at Christmas gatherings, contributing to the celebration."', 'source_id': 'chunk-843b5b2f944c7413d9ca876e2e2f151fchunk-99b0ec7f7e006561352b5d65e849611d'} -2024-10-30 05:40:13,351 - lightrag - INFO - get_node:query:MATCH (n:`ANTIQUE SCABBARD`) RETURN n:result: -2024-10-30 05:40:13,488 - lightrag - INFO - _do_upsert:query: - MERGE (n:`ANTIQUE SCABBARD`) - SET n += $properties - RETURN n - :result:{'entity_type': '"ORGANIZATION"', 'description': '"The Antique Scabbard is a symbolic object seen on the Ghost, representing the notion of protection and history."', 'source_id': 'chunk-843b5b2f944c7413d9ca876e2e2f151f'} -2024-10-30 05:40:13,624 - lightrag - INFO - get_node:query:MATCH (n:`GREAT BRITAIN`) RETURN n:result:"Great Britain is referenced as a location suffering from severe weather, which contrasts with the cheerful activities of its people during Christmas."', 'source_id': 'chunk-99b0ec7f7e006561352b5d65e849611d'}> -2024-10-30 05:40:13,762 - lightrag - INFO - _do_upsert:query: - MERGE (n:`GREAT BRITAIN`) - SET n += $properties - RETURN n - :result:{'entity_type': '"GEO"', 'description': '"Great Britain is a location mentioned as having chimneys that appear to be catching fire and is the setting for a gloomy climate during Christmas time.""Great Britain is a location mentioned as having chimneys that appear to be catching fire and is the setting for a gloomy climate during Christmas time.""Great Britain is referenced as a location suffering from severe weather, which contrasts with the cheerful activities of its people during Christmas."', 'source_id': 'chunk-99b0ec7f7e006561352b5d65e849611d'} -2024-10-30 05:40:13,895 - lightrag - INFO - get_node:query:MATCH (n:`GROCERS'`) RETURN n:result: -2024-10-30 05:40:14,032 - lightrag - INFO - _do_upsert:query: - MERGE (n:`GROCERS'`) - SET n += $properties - RETURN n - :result:{'entity_type': '"ORGANIZATION"', 'description': '"Grocers\' is an organization described as nearly closed yet bustling with eager customers, showcasing a variety of goods typical for Christmas time."', 'source_id': 'chunk-99b0ec7f7e006561352b5d65e849611d'} -2024-10-30 05:40:14,164 - lightrag - INFO - get_node:query:MATCH (n:`PEOPLE`) RETURN n:result: -2024-10-30 05:40:14,301 - lightrag - INFO - _do_upsert:query: - MERGE (n:`PEOPLE`) - SET n += $properties - RETURN n - :result:{'entity_type': '"ORGANIZATION"', 'description': '"The People represent the community celebrating Christmas, exhibiting joy, humor, and eagerness amidst the dreary weather."', 'source_id': 'chunk-99b0ec7f7e006561352b5d65e849611d'} -2024-10-30 05:40:14,435 - lightrag - INFO - get_node:query:MATCH (n:`GEESE`) RETURN n:result:"Geese are another traditional food item during Christmas, contributing to the festive dining experiences.""Geese are included in the festive feast, representing the bounty and celebration associated with Christmas."', 'source_id': 'chunk-99b0ec7f7e006561352b5d65e849611dchunk-843b5b2f944c7413d9ca876e2e2f151f'}> -2024-10-30 05:40:14,572 - lightrag - INFO - _do_upsert:query: - MERGE (n:`GEESE`) - SET n += $properties - RETURN n - :result:{'entity_type': '"ORGANIZATION"', 'description': '"Geese are also traditional food items that may be included in Christmas feasts, adding to the holiday cheer.""Geese are also traditional food items that may be included in Christmas feasts, adding to the holiday cheer.""Geese are another traditional food item during Christmas, contributing to the festive dining experiences.""Geese are included in the festive feast, representing the bounty and celebration associated with Christmas."', 'source_id': 'chunk-843b5b2f944c7413d9ca876e2e2f151fchunk-99b0ec7f7e006561352b5d65e849611d'} -2024-10-30 05:40:14,710 - lightrag - INFO - get_node:query:MATCH (n:`BRAWN`) RETURN n:result:"Brawn refers to a traditional meat dish that may be part of Christmas festivities, highlighting culinary practices of the season."', 'source_id': 'chunk-99b0ec7f7e006561352b5d65e849611dchunk-843b5b2f944c7413d9ca876e2e2f151f'}> -2024-10-30 05:40:14,850 - lightrag - INFO - _do_upsert:query: - MERGE (n:`BRAWN`) - SET n += $properties - RETURN n - :result:{'entity_type': '"ORGANIZATION"', 'description': '"Brawn is a type of meat included in the festive gathering, representing the richness of the Christmas feast.""Brawn refers to a traditional meat dish that may be part of Christmas festivities, highlighting culinary practices of the season.""Brawn refers to a traditional meat dish that may be part of Christmas festivities, highlighting culinary practices of the season."', 'source_id': 'chunk-843b5b2f944c7413d9ca876e2e2f151fchunk-99b0ec7f7e006561352b5d65e849611d'} -2024-10-30 05:40:14,986 - lightrag - INFO - get_node:query:MATCH (n:`CITY STREETS`) RETURN n:result: -2024-10-30 05:40:15,125 - lightrag - INFO - _do_upsert:query: - MERGE (n:`CITY STREETS`) - SET n += $properties - RETURN n - :result:{'entity_type': '"GEO"', 'description': '"City Streets are referenced as the setting where people are celebrating and making music, contributing to the festive atmosphere of Christmas morning."', 'source_id': 'chunk-99b0ec7f7e006561352b5d65e849611d'} -2024-10-30 05:40:15,255 - lightrag - INFO - get_node:query:MATCH (n:`SNOW`) RETURN n:result: -2024-10-30 05:40:15,391 - lightrag - INFO - _do_upsert:query: - MERGE (n:`SNOW`) - SET n += $properties - RETURN n - :result:{'entity_type': '"GEO"', 'description': '"Snow is a significant element of the Christmas setting, emphasizing the winter atmosphere and contributing to the imagery of the holiday."', 'source_id': 'chunk-99b0ec7f7e006561352b5d65e849611d'} -2024-10-30 05:40:15,526 - lightrag - INFO - get_node:query:MATCH (n:`PARAPETS`) RETURN n:result: -2024-10-30 05:40:15,668 - lightrag - INFO - _do_upsert:query: - MERGE (n:`PARAPETS`) - SET n += $properties - RETURN n - :result:{'entity_type': '"GEO"', 'description': '"Parapets are structures that people use to engage in playful activities, such as throwing snowballs during Christmas celebrations."', 'source_id': 'chunk-99b0ec7f7e006561352b5d65e849611d'} -2024-10-30 05:40:15,802 - lightrag - INFO - get_node:query:MATCH (n:`SPIRIT OF CHRISTMAS PRESENT`) RETURN n:result: -2024-10-30 05:40:15,941 - lightrag - INFO - _do_upsert:query: - MERGE (n:`SPIRIT OF CHRISTMAS PRESENT`) - SET n += $properties - RETURN n - :result:{'entity_type': '"PERSON"', 'description': '"The Spirit of Christmas Present embodies the spirit of generosity and compassion, showing Scrooge scenes of joy and festivity among the poor."', 'source_id': 'chunk-b0f459f5af1c3a5e0b92cbe4ee48b77b'} -2024-10-30 05:40:16,082 - lightrag - INFO - get_node:query:MATCH (n:`PETER CRATCHIT`) RETURN n:result:"Peter Cratchit is a member of the Cratchit family who participates in expressing their unity and happiness.""Peter Cratchit is Bob\'s son, excited about his clothing and preparing a festive meal, symbolizing youthful innocence and hope.""Peter Cratchit is one of Bob Cratchit\'s children, involved in family dynamics and interactions surrounding Tiny Tim.""Peter Cratchit is one of the Cratchit children, shown to be active and enthusiastic during the Christmas celebration.""Peter Cratchit is the eldest son of Bob and Mrs. Cratchit, who is portrayed as contemplative about his future as he considers a potential job opportunity."', 'source_id': 'chunk-91572b3cd42786ba4cb2f180ca25cbf4chunk-b0f459f5af1c3a5e0b92cbe4ee48b77bchunk-7e2e7ebcc19a53b399dc03aded4743e7chunk-19d72c57ae3408758b18d2568e86dc6b'}> -2024-10-30 05:40:16,233 - lightrag - INFO - _do_upsert:query: - MERGE (n:`PETER CRATCHIT`) - SET n += $properties - RETURN n - :result:{'entity_type': '"PERSON"', 'description': '"Peter Cratchit is Bob\'s son, excited about dressing up and participating in the festive meal preparation.""Peter Cratchit is a member of the Cratchit family who participates in expressing their unity and happiness.""Peter Cratchit is Bob\'s son, excited about his clothing and preparing a festive meal, symbolizing youthful innocence and hope.""Peter Cratchit is one of Bob Cratchit\'s children, involved in family dynamics and interactions surrounding Tiny Tim.""Peter Cratchit is one of the Cratchit children, shown to be active and enthusiastic during the Christmas celebration.""Peter Cratchit is the eldest son of Bob and Mrs. Cratchit, who is portrayed as contemplative about his future as he considers a potential job opportunity.""Peter Cratchit is Bob\'s son, excited about his clothing and preparing a festive meal, symbolizing youthful innocence and hope.""Peter Cratchit is one of Bob Cratchit\'s children, involved in family dynamics and interactions surrounding Tiny Tim.""Peter Cratchit is one of the Cratchit children, shown to be active and enthusiastic during the Christmas celebration.""Peter Cratchit is the eldest son of Bob and Mrs. Cratchit, who is portrayed as contemplative about his future as he considers a potential job opportunity."', 'source_id': 'chunk-19d72c57ae3408758b18d2568e86dc6bchunk-7e2e7ebcc19a53b399dc03aded4743e7chunk-b0f459f5af1c3a5e0b92cbe4ee48b77bchunk-91572b3cd42786ba4cb2f180ca25cbf4'} -2024-10-30 05:40:16,374 - lightrag - INFO - get_node:query:MATCH (n:`THE CRATCHIT HOUSEHOLD`) RETURN n:result: -2024-10-30 05:40:16,511 - lightrag - INFO - _do_upsert:query: - MERGE (n:`THE CRATCHIT HOUSEHOLD`) - SET n += $properties - RETURN n - :result:{'entity_type': '"ORGANIZATION"', 'description': '"The Cratchit Household represents a loving family unit, managing to find joy despite their financial struggles."', 'source_id': 'chunk-b0f459f5af1c3a5e0b92cbe4ee48b77b'} -2024-10-30 05:40:16,643 - lightrag - INFO - get_node:query:MATCH (n:`CHRISTMAS DAY`) RETURN n:result:"Christmas Day is a significant holiday that marks the time of Scrooge\'s revelation and intent to change.""Christmas Day is celebrated by the Cratchit family with a communal meal and expressions of joy and togetherness, highlighting the importance of family and gratitude.""Christmas Day serves as the central event around which the family gathers and reflects on their feelings towards Scrooge.""Christmas Day is portrayed as a day of celebration and gathering, emphasizing themes of togetherness and generosity.""Christmas Day serves as a central event for the gathering of the Cratchit family, filled with mixed feelings about their employer, Scrooge.""Christmas Day serves as the backdrop for Scrooge\'s transformation, representing joy, celebration, and new beginnings."', 'source_id': 'chunk-90b95db5c53e4364a6bee36b7aa4d70fchunk-b0f459f5af1c3a5e0b92cbe4ee48b77bchunk-7e2e7ebcc19a53b399dc03aded4743e7chunk-19d72c57ae3408758b18d2568e86dc6b'}> -2024-10-30 05:40:16,780 - lightrag - INFO - _do_upsert:query: - MERGE (n:`CHRISTMAS DAY`) - SET n += $properties - RETURN n - :result:{'entity_type': '"EVENT"', 'description': '"Christmas Day is a holiday during which the characters express joy and the significance of communal dining.""Christmas Day is a significant holiday that marks the time of Scrooge\'s revelation and intent to change.""Christmas Day is celebrated by the Cratchit family with a communal meal and expressions of joy and togetherness, highlighting the importance of family and gratitude.""Christmas Day serves as the central event around which the family gathers and reflects on their feelings towards Scrooge.""Christmas Day is portrayed as a day of celebration and gathering, emphasizing themes of togetherness and generosity.""Christmas Day serves as a central event for the gathering of the Cratchit family, filled with mixed feelings about their employer, Scrooge.""Christmas Day serves as the backdrop for Scrooge\'s transformation, representing joy, celebration, and new beginnings.""Christmas Day is portrayed as a day of celebration and gathering, emphasizing themes of togetherness and generosity.""Christmas Day serves as a central event for the gathering of the Cratchit family, filled with mixed feelings about their employer, Scrooge.""Christmas Day serves as the backdrop for Scrooge\'s transformation, representing joy, celebration, and new beginnings."', 'source_id': 'chunk-19d72c57ae3408758b18d2568e86dc6bchunk-90b95db5c53e4364a6bee36b7aa4d70fchunk-7e2e7ebcc19a53b399dc03aded4743e7chunk-b0f459f5af1c3a5e0b92cbe4ee48b77b'} -2024-10-30 05:40:16,922 - lightrag - INFO - get_node:query:MATCH (n:`THE GROCER`) RETURN n:result: -2024-10-30 05:40:17,060 - lightrag - INFO - _do_upsert:query: - MERGE (n:`THE GROCER`) - SET n += $properties - RETURN n - :result:{'entity_type': '"PERSON"', 'description': '"The Grocer is depicted as a welcoming figure who interacts with customers in a friendly manner, symbolizing community spirit."', 'source_id': 'chunk-b0f459f5af1c3a5e0b92cbe4ee48b77b'} -2024-10-30 05:40:17,194 - lightrag - INFO - get_node:query:MATCH (n:`THE PEOPLE`) RETURN n:result:"The People refers to the inhabitants of the quarter, characterized by their desperate living conditions and societal challenges.""The People represent the townsfolk who come together in celebration during the Christmas season, highlighting communal joy and participation.""The People represent the various individuals Scrooge encounters during his joyful walk, symbolizing community and shared happiness."', 'source_id': 'chunk-b0f459f5af1c3a5e0b92cbe4ee48b77bchunk-8f738cb25d60a7dab782162d9d0a25edchunk-f1a4fbcf1ed86864b9bfd5e8dba4c683'}> -2024-10-30 05:40:17,330 - lightrag - INFO - _do_upsert:query: - MERGE (n:`THE PEOPLE`) - SET n += $properties - RETURN n - :result:{'entity_type': '"ORGANIZATION"', 'description': '"The People refer to the townsfolk whom Scrooge encounters, showcasing the communal spirit of Christmas.""The People refer to the townsfolk whom Scrooge encounters, showcasing the communal spirit of Christmas.""The People refers to the inhabitants of the quarter, characterized by their desperate living conditions and societal challenges.""The People represent the townsfolk who come together in celebration during the Christmas season, highlighting communal joy and participation.""The People represent the various individuals Scrooge encounters during his joyful walk, symbolizing community and shared happiness.""The People refers to the inhabitants of the quarter, characterized by their desperate living conditions and societal challenges.""The People represent the townsfolk who come together in celebration during the Christmas season, highlighting communal joy and participation."', 'source_id': 'chunk-8f738cb25d60a7dab782162d9d0a25edchunk-f1a4fbcf1ed86864b9bfd5e8dba4c683chunk-b0f459f5af1c3a5e0b92cbe4ee48b77b'} -2024-10-30 05:40:17,468 - lightrag - INFO - get_node:query:MATCH (n:`THE SPIRIT'S TORCH`) RETURN n:result:"The Spirit\'s Torch symbolizes the joy and magic of the Christmas spirit, illuminating the family\'s happiness despite their hardships."', 'source_id': 'chunk-b0f459f5af1c3a5e0b92cbe4ee48b77bchunk-19d72c57ae3408758b18d2568e86dc6b'}> -2024-10-30 05:40:17,609 - lightrag - INFO - _do_upsert:query: - MERGE (n:`THE SPIRIT'S TORCH`) - SET n += $properties - RETURN n - :result:{'entity_type': '"TECHNOLOGY"', 'description': '"The Spirit\'s Torch is a unique tool used by the Spirit of Christmas Present to sprinkle blessings and create goodwill among people.""The Spirit\'s Torch is a unique tool used by the Spirit of Christmas Present to sprinkle blessings and create goodwill among people.""The Spirit\'s Torch symbolizes the joy and magic of the Christmas spirit, illuminating the family\'s happiness despite their hardships.""The Spirit\'s Torch symbolizes the joy and magic of the Christmas spirit, illuminating the family\'s happiness despite their hardships."', 'source_id': 'chunk-19d72c57ae3408758b18d2568e86dc6bchunk-b0f459f5af1c3a5e0b92cbe4ee48b77b'} -2024-10-30 05:40:17,749 - lightrag - INFO - get_node:query:MATCH (n:`THE BAKER'S SHOP`) RETURN n:result: -2024-10-30 05:40:17,886 - lightrag - INFO - _do_upsert:query: - MERGE (n:`THE BAKER'S SHOP`) - SET n += $properties - RETURN n - :result:{'entity_type': '"ORGANIZATION"', 'description': '"The Baker\'s Shop is a significant location where townspeople gather to procure their meals, indicating a hub of community activity."', 'source_id': 'chunk-b0f459f5af1c3a5e0b92cbe4ee48b77b'} -2024-10-30 05:40:18,021 - lightrag - INFO - get_node:query:MATCH (n:`DINNERS`) RETURN n:result:"Dinners represent the communal and familial gatherings that occur during Christmas, emphasized in the text as significant for enjoyment and sharing."', 'source_id': 'chunk-b0f459f5af1c3a5e0b92cbe4ee48b77b'}> -2024-10-30 05:40:18,158 - lightrag - INFO - _do_upsert:query: - MERGE (n:`DINNERS`) - SET n += $properties - RETURN n - :result:{'entity_type': '"EVENT"', 'description': '"Dinners refer to the meals shared by families on Christmas Day, representing the joy and nourishment that bring people together.""Dinners refer to the meals shared by families on Christmas Day, representing the joy and nourishment that bring people together.""Dinners represent the communal and familial gatherings that occur during Christmas, emphasized in the text as significant for enjoyment and sharing."', 'source_id': 'chunk-b0f459f5af1c3a5e0b92cbe4ee48b77b'} -2024-10-30 05:40:18,291 - lightrag - INFO - get_node:query:MATCH (n:`THE STREETS`) RETURN n:result: -2024-10-30 05:40:18,433 - lightrag - INFO - _do_upsert:query: - MERGE (n:`THE STREETS`) - SET n += $properties - RETURN n - :result:{'entity_type': '"GEO"', 'description': '"The Streets are the setting for the gatherings and interactions of townspeople during Christmas, showcasing the festive atmosphere."', 'source_id': 'chunk-b0f459f5af1c3a5e0b92cbe4ee48b77b'} -2024-10-30 05:40:18,565 - lightrag - INFO - get_node:query:MATCH (n:`THE SUBURBS`) RETURN n:result: -2024-10-30 05:40:18,706 - lightrag - INFO - _do_upsert:query: - MERGE (n:`THE SUBURBS`) - SET n += $properties - RETURN n - :result:{'entity_type': '"GEO"', 'description': '"The Suburbs are depicted as the area where the Spirit takes Scrooge to observe the lives of the less fortunate, emphasizing social issues."', 'source_id': 'chunk-b0f459f5af1c3a5e0b92cbe4ee48b77b'} -2024-10-30 05:40:18,838 - lightrag - INFO - get_node:query:MATCH (n:`THE NIGHT`) RETURN n:result: -2024-10-30 05:40:18,979 - lightrag - INFO - _do_upsert:query: - MERGE (n:`THE NIGHT`) - SET n += $properties - RETURN n - :result:{'entity_type': '"EVENT"', 'description': '"The Night, particularly Christmas Eve, is framed as a time for reflection and celebration as families prepare for the festivities."', 'source_id': 'chunk-b0f459f5af1c3a5e0b92cbe4ee48b77b'} -2024-10-30 05:40:19,110 - lightrag - INFO - get_node:query:MATCH (n:`CRATCHIT FAMILY`) RETURN n:result:"The Cratchit Family is a close-knit family characterized by love and togetherness, celebrating Christmas with simple but joyful traditions.""The Cratchit Family is portrayed as a close-knit group who, despite their hardships, find joy and gratitude during the Christmas gathering.""The Cratchit Family is portrayed as a loving unit celebrating Christmas together, with various members actively participating in the festivities.""The Cratchit family represents a unit bound by love and resilience in the face of adversity, dealing with emotional and financial struggles.""The Cratchit Family is depicted as a warm and loving household celebrating Christmas together, with various members actively participating in the festivities."', 'source_id': 'chunk-7e2e7ebcc19a53b399dc03aded4743e7chunk-503f0bfa5453467c7c61d160a3540ecachunk-83ac129dc9b56f84c46760d153d68e93chunk-19d72c57ae3408758b18d2568e86dc6b'}> -2024-10-30 05:40:19,251 - lightrag - INFO - _do_upsert:query: - MERGE (n:`CRATCHIT FAMILY`) - SET n += $properties - RETURN n - :result:{'entity_type': '"ORGANIZATION"', 'description': '"The Cratchit Family consists of Bob, Mrs. Cratchit, and their children, embodying themes of family unity and contentment despite hardships.""The Cratchit Family consists of Bob, Mrs. Cratchit, and their children, embodying themes of family unity and contentment despite hardships.""The Cratchit Family is a close-knit family characterized by love and togetherness, celebrating Christmas with simple but joyful traditions.""The Cratchit Family is portrayed as a close-knit group who, despite their hardships, find joy and gratitude during the Christmas gathering.""The Cratchit Family is portrayed as a loving unit celebrating Christmas together, with various members actively participating in the festivities.""The Cratchit family represents a unit bound by love and resilience in the face of adversity, dealing with emotional and financial struggles.""The Cratchit Family is depicted as a warm and loving household celebrating Christmas together, with various members actively participating in the festivities.""The Cratchit Family is depicted as a warm and loving household celebrating Christmas together, with various members actively participating in the festivities."', 'source_id': 'chunk-503f0bfa5453467c7c61d160a3540ecachunk-19d72c57ae3408758b18d2568e86dc6bchunk-7e2e7ebcc19a53b399dc03aded4743e7chunk-83ac129dc9b56f84c46760d153d68e93'} -2024-10-30 05:40:19,388 - lightrag - INFO - get_node:query:MATCH (n:`MARTHA`) RETURN n:result:"Martha is the daughter in the Cratchit family, who makes a dramatic entrance to surprise her family, highlighting the family\'s closeness."', 'source_id': 'chunk-7e2e7ebcc19a53b399dc03aded4743e7chunk-19d72c57ae3408758b18d2568e86dc6b'}> -2024-10-30 05:40:19,526 - lightrag - INFO - _do_upsert:query: - MERGE (n:`MARTHA`) - SET n += $properties - RETURN n - :result:{'entity_type': '"PERSON"', 'description': '"Martha is a poor apprentice at a milliner\'s and shares her experience with the family during their Christmas gathering, contributing to the family atmosphere.""Martha is the daughter in the Cratchit family, who makes a dramatic entrance to surprise her family, highlighting the family\'s closeness.""Martha is the daughter in the Cratchit family, who makes a dramatic entrance to surprise her family, highlighting the family\'s closeness."', 'source_id': 'chunk-19d72c57ae3408758b18d2568e86dc6bchunk-7e2e7ebcc19a53b399dc03aded4743e7'} -2024-10-30 05:40:19,665 - lightrag - INFO - get_node:query:MATCH (n:`CRATCHIT CHRISTMAS DINNER`) RETURN n:result: -2024-10-30 05:40:19,813 - lightrag - INFO - _do_upsert:query: - MERGE (n:`CRATCHIT CHRISTMAS DINNER`) - SET n += $properties - RETURN n - :result:{'entity_type': '"EVENT"', 'description': '"Cratchit Christmas Dinner is a festive occasion filled with joy, love, and togetherness as the family celebrates the holiday."', 'source_id': 'chunk-7e2e7ebcc19a53b399dc03aded4743e7'} -2024-10-30 05:40:19,947 - lightrag - INFO - get_node:query:MATCH (n:`THE GOOSE`) RETURN n:result:"The Goose is a central element of the Cratchit Christmas dinner, representing abundance and the joy of the holiday as the family eagerly anticipates its serving.""The Goose is a central part of the Cratchit family Christmas dinner, which they celebrate with excitement and anticipation, symbolizing abundance and joy."', 'source_id': 'chunk-7e2e7ebcc19a53b399dc03aded4743e7chunk-503f0bfa5453467c7c61d160a3540eca'}> -2024-10-30 05:40:20,086 - lightrag - INFO - _do_upsert:query: - MERGE (n:`THE GOOSE`) - SET n += $properties - RETURN n - :result:{'entity_type': '"EVENT"', 'description': '"The Goose is a central dish enjoyed by the Cratchit family during their Christmas dinner, symbolizing abundance and celebration.""The Goose is a central dish enjoyed by the Cratchit family during their Christmas dinner, symbolizing abundance and celebration.""The Goose is a central element of the Cratchit Christmas dinner, representing abundance and the joy of the holiday as the family eagerly anticipates its serving.""The Goose is a central part of the Cratchit family Christmas dinner, which they celebrate with excitement and anticipation, symbolizing abundance and joy.""The Goose is a central element of the Cratchit Christmas dinner, representing abundance and the joy of the holiday as the family eagerly anticipates its serving."', 'source_id': 'chunk-503f0bfa5453467c7c61d160a3540ecachunk-7e2e7ebcc19a53b399dc03aded4743e7'} -2024-10-30 05:40:20,221 - lightrag - INFO - get_node:query:MATCH (n:`THE YOUNG CRATCHITS`) RETURN n:result: -2024-10-30 05:40:20,360 - lightrag - INFO - _do_upsert:query: - MERGE (n:`THE YOUNG CRATCHITS`) - SET n += $properties - RETURN n - :result:{'entity_type': '"ORGANIZATION"', 'description': '"The Young Cratchits are the children in the Cratchit family who contribute to the lively atmosphere, expressing excitement and involvement in the Christmas celebrations."', 'source_id': 'chunk-7e2e7ebcc19a53b399dc03aded4743e7'} -2024-10-30 05:40:20,495 - lightrag - INFO - get_node:query:MATCH (n:`THE PUDDING`) RETURN n:result:"The Pudding is a traditional dish prepared for Christmas, symbolizing festivity and the warmth of family gatherings.""The Pudding is a traditional dish served at the Cratchit Christmas dinner, symbolizing festive joy and family gatherings."', 'source_id': 'chunk-7e2e7ebcc19a53b399dc03aded4743e7chunk-503f0bfa5453467c7c61d160a3540ecachunk-90d5764e301321c087f5a8f78b73a145'}> -2024-10-30 05:40:20,636 - lightrag - INFO - _do_upsert:query: - MERGE (n:`THE PUDDING`) - SET n += $properties - RETURN n - :result:{'entity_type': '"EVENT"', 'description': '"The Pudding is a special dessert made by Mrs. Cratchit, described as hard and firm, and is a source of pride and excitement for the family.""The Pudding is a special dessert made by Mrs. Cratchit, described as hard and firm, and is a source of pride and excitement for the family.""The Pudding is a traditional dish prepared for Christmas, symbolizing festivity and the warmth of family gatherings.""The Pudding is a traditional dish served at the Cratchit Christmas dinner, symbolizing festive joy and family gatherings.""The Pudding is a traditional dish served at the Cratchit Christmas dinner, symbolizing festive joy and family gatherings."', 'source_id': 'chunk-503f0bfa5453467c7c61d160a3540ecachunk-7e2e7ebcc19a53b399dc03aded4743e7chunk-90d5764e301321c087f5a8f78b73a145'} -2024-10-30 05:40:20,771 - lightrag - INFO - get_node:query:MATCH (n:`THE FIRE`) RETURN n:result:"The Fire represents warmth and comfort in the Cratchit household, inviting family members to gather around during their Christmas celebration."', 'source_id': 'chunk-7e2e7ebcc19a53b399dc03aded4743e7chunk-773d0df1dd25c356f7b771d780583e09'}> -2024-10-30 05:40:20,910 - lightrag - INFO - _do_upsert:query: - MERGE (n:`THE FIRE`) - SET n += $properties - RETURN n - :result:{'entity_type': '"EVENT"', 'description': '"The Fire represents warmth and comfort during the family gathering, enhancing the atmosphere of camaraderie.""The Fire represents warmth and comfort in the Cratchit household, inviting family members to gather around during their Christmas celebration.""The Fire represents warmth and comfort in the Cratchit household, inviting family members to gather around during their Christmas celebration."', 'source_id': 'chunk-7e2e7ebcc19a53b399dc03aded4743e7chunk-773d0df1dd25c356f7b771d780583e09'} -2024-10-30 05:40:21,046 - lightrag - INFO - get_node:query:MATCH (n:`THE DINNER`) RETURN n:result:"The Dinner is a social event characterized by laughter, music, and discussions about Scrooge, portraying a festive Christmas gathering."', 'source_id': 'chunk-773d0df1dd25c356f7b771d780583e09chunk-503f0bfa5453467c7c61d160a3540eca'}> -2024-10-30 05:40:21,184 - lightrag - INFO - _do_upsert:query: - MERGE (n:`THE DINNER`) - SET n += $properties - RETURN n - :result:{'entity_type': '"EVENT"', 'description': '"The Dinner is a festive event where the Cratchit family gathers to enjoy a meal, including a special goose and pudding, symbolizing their togetherness.""The Dinner is a festive event where the Cratchit family gathers to enjoy a meal, including a special goose and pudding, symbolizing their togetherness.""The Dinner is a social event characterized by laughter, music, and discussions about Scrooge, portraying a festive Christmas gathering."', 'source_id': 'chunk-503f0bfa5453467c7c61d160a3540ecachunk-773d0df1dd25c356f7b771d780583e09'} -2024-10-30 05:40:21,320 - lightrag - INFO - get_node:query:MATCH (n:`MISS BELINDA`) RETURN n:result: -2024-10-30 05:40:21,458 - lightrag - INFO - _do_upsert:query: - MERGE (n:`MISS BELINDA`) - SET n += $properties - RETURN n - :result:{'entity_type': '"PERSON"', 'description': '"Miss Belinda is a member of the Cratchit family who assists in the dinner preparations, specifically changing the plates."', 'source_id': 'chunk-503f0bfa5453467c7c61d160a3540eca'} -2024-10-30 05:40:21,591 - lightrag - INFO - get_node:query:MATCH (n:`THE FOUNDER OF THE FEAST`) RETURN n:result: -2024-10-30 05:40:21,732 - lightrag - INFO - _do_upsert:query: - MERGE (n:`THE FOUNDER OF THE FEAST`) - SET n += $properties - RETURN n - :result:{'entity_type': '"TITLE"', 'description': '"The Founder of the Feast refers to Scrooge, whom Bob Cratchit acknowledges during the Christmas dinner, signifying gratitude toward Scrooge\'s provision for the meal."', 'source_id': 'chunk-503f0bfa5453467c7c61d160a3540eca'} -2024-10-30 05:40:21,868 - lightrag - INFO - get_node:query:MATCH (n:`THE COUNTESS`) RETURN n:result:"The Countess is referenced by Martha, showcasing her interaction with figures of higher social status, contrasting with the Cratchit family\'s situation."', 'source_id': 'chunk-19d72c57ae3408758b18d2568e86dc6b'}> -2024-10-30 05:40:22,006 - lightrag - INFO - _do_upsert:query: - MERGE (n:`THE COUNTESS`) - SET n += $properties - RETURN n - :result:{'entity_type': '"PERSON"', 'description': '"The Countess is mentioned by Martha, indicating an encounter that highlights the social stratification and aspirations of the Cratchit family.""The Countess is mentioned by Martha, indicating an encounter that highlights the social stratification and aspirations of the Cratchit family.""The Countess is referenced by Martha, showcasing her interaction with figures of higher social status, contrasting with the Cratchit family\'s situation."', 'source_id': 'chunk-19d72c57ae3408758b18d2568e86dc6b'} -2024-10-30 05:40:22,140 - lightrag - INFO - get_node:query:MATCH (n:`THE LORD`) RETURN n:result:"The Lord is referenced in Martha\'s account of her work, underscoring the contrast between the Cratchit family\'s modest means and the nobility."', 'source_id': 'chunk-19d72c57ae3408758b18d2568e86dc6b'}> -2024-10-30 05:40:22,275 - lightrag - INFO - _do_upsert:query: - MERGE (n:`THE LORD`) - SET n += $properties - RETURN n - :result:{'entity_type': '"PERSON"', 'description': '"The Lord is mentioned by Martha as someone she encountered, illustrating her experiences outside her family\'s struggles.""The Lord is referenced in Martha\'s account of her work, underscoring the contrast between the Cratchit family\'s modest means and the nobility.""The Lord is referenced in Martha\'s account of her work, underscoring the contrast between the Cratchit family\'s modest means and the nobility."', 'source_id': 'chunk-19d72c57ae3408758b18d2568e86dc6b'} -2024-10-30 05:40:22,411 - lightrag - INFO - get_node:query:MATCH (n:`THE GATHERING`) RETURN n:result: -2024-10-30 05:40:22,552 - lightrag - INFO - _do_upsert:query: - MERGE (n:`THE GATHERING`) - SET n += $properties - RETURN n - :result:{'entity_type': '"EVENT"', 'description': '"The Gathering refers to the collective event of the family coming together to celebrate Christmas, filled with warmth and camaraderie despite their struggles."', 'source_id': 'chunk-19d72c57ae3408758b18d2568e86dc6b'} -2024-10-30 05:40:22,684 - lightrag - INFO - get_node:query:MATCH (n:`THE LIGHTHOUSE`) RETURN n:result:"The Lighthouse serves as a solitary structure representing hope and guidance amid a stormy sea, populated by individuals celebrating Christmas."', 'source_id': 'chunk-91614df5cb74cbe5e109a338a82041e9'}> -2024-10-30 05:40:22,825 - lightrag - INFO - _do_upsert:query: - MERGE (n:`THE LIGHTHOUSE`) - SET n += $properties - RETURN n - :result:{'entity_type': '"GEO"', 'description': '"The Lighthouse is a solitary structure standing on a reef, symbolizing hope and guidance amidst the tumultuous sea.""The Lighthouse serves as a solitary structure representing hope and guidance amid a stormy sea, populated by individuals celebrating Christmas.""The Lighthouse serves as a solitary structure representing hope and guidance amid a stormy sea, populated by individuals celebrating Christmas."', 'source_id': 'chunk-91614df5cb74cbe5e109a338a82041e9'} -2024-10-30 05:40:22,964 - lightrag - INFO - get_node:query:MATCH (n:`THE SHIP`) RETURN n:result:"The Ship is described as a vessel on the open sea, where the crew reflects on Christmas, showcasing camaraderie and a sense of belonging."', 'source_id': 'chunk-91614df5cb74cbe5e109a338a82041e9'}> -2024-10-30 05:40:23,108 - lightrag - INFO - _do_upsert:query: - MERGE (n:`THE SHIP`) - SET n += $properties - RETURN n - :result:{'entity_type': '"GEO"', 'description': '"The Ship is a vessel where the crew shares moments of kindness and reflection during Christmas, symbolizing unity and camaraderie.""The Ship is a vessel where the crew shares moments of kindness and reflection during Christmas, symbolizing unity and camaraderie.""The Ship is described as a vessel on the open sea, where the crew reflects on Christmas, showcasing camaraderie and a sense of belonging."', 'source_id': 'chunk-91614df5cb74cbe5e109a338a82041e9'} -2024-10-30 05:40:23,244 - lightrag - INFO - get_node:query:MATCH (n:`THE LAMPLIGHTER`) RETURN n:result:"The Lamplighter is a character who fills the street with light, representing the warmth and joy of the holiday season."', 'source_id': 'chunk-91614df5cb74cbe5e109a338a82041e9'}> -2024-10-30 05:40:23,383 - lightrag - INFO - _do_upsert:query: - MERGE (n:`THE LAMPLIGHTER`) - SET n += $properties - RETURN n - :result:{'entity_type': '"PERSON"', 'description': '"The Lamplighter is a character who brings light to the street, symbolizing hope and joy as he dotting the dusky street with specks of light.""The Lamplighter is a character who brings light to the street, symbolizing hope and joy as he dotting the dusky street with specks of light.""The Lamplighter is a character who fills the street with light, representing the warmth and joy of the holiday season."', 'source_id': 'chunk-91614df5cb74cbe5e109a338a82041e9'} -2024-10-30 05:40:23,520 - lightrag - INFO - get_node:query:MATCH (n:`THE MOOR`) RETURN n:result: -2024-10-30 05:40:23,664 - lightrag - INFO - _do_upsert:query: - MERGE (n:`THE MOOR`) - SET n += $properties - RETURN n - :result:{'entity_type': '"GEO"', 'description': '"The Moor is depicted as a bleak and desolate landscape, symbolizing the harsh conditions where miners live."', 'source_id': 'chunk-91614df5cb74cbe5e109a338a82041e9'} -2024-10-30 05:40:23,798 - lightrag - INFO - get_node:query:MATCH (n:`THE OLD MAN`) RETURN n:result:"The Old Man is portrayed as a figure of light and joy among his family, singing a Christmas song that connects generations."', 'source_id': 'chunk-91614df5cb74cbe5e109a338a82041e9'}> -2024-10-30 05:40:23,942 - lightrag - INFO - _do_upsert:query: - MERGE (n:`THE OLD MAN`) - SET n += $properties - RETURN n - :result:{'entity_type': '"PERSON"', 'description': '"The Old Man is a character who sings a Christmas song, providing a sense of tradition and warmth amidst the desolate environment.""The Old Man is a character who sings a Christmas song, providing a sense of tradition and warmth amidst the desolate environment.""The Old Man is portrayed as a figure of light and joy among his family, singing a Christmas song that connects generations."', 'source_id': 'chunk-91614df5cb74cbe5e109a338a82041e9'} -2024-10-30 05:40:24,078 - lightrag - INFO - get_node:query:MATCH (n:`THE HUT`) RETURN n:result:"The Hut is a shelter for the miners that provides warmth and a gathering space for family during the winter, serving as a symbol of refuge."', 'source_id': 'chunk-91614df5cb74cbe5e109a338a82041e9'}> -2024-10-30 05:40:24,217 - lightrag - INFO - _do_upsert:query: - MERGE (n:`THE HUT`) - SET n += $properties - RETURN n - :result:{'entity_type': '"GEO"', 'description': '"The Hut is a place where miners and their families gather to celebrate Christmas, representing warmth and community.""The Hut is a place where miners and their families gather to celebrate Christmas, representing warmth and community.""The Hut is a shelter for the miners that provides warmth and a gathering space for family during the winter, serving as a symbol of refuge."', 'source_id': 'chunk-91614df5cb74cbe5e109a338a82041e9'} -2024-10-30 05:40:24,353 - lightrag - INFO - get_node:query:MATCH (n:`THE MINERS`) RETURN n:result:"The Miners refer to a group of laborers living in a bleak landscape, embodying the struggles and resilience of working-class life."', 'source_id': 'chunk-91614df5cb74cbe5e109a338a82041e9'}> -2024-10-30 05:40:24,491 - lightrag - INFO - _do_upsert:query: - MERGE (n:`THE MINERS`) - SET n += $properties - RETURN n - :result:{'entity_type': '"ORGANIZATION"', 'description': '"The Miners are individuals who labor in the moor, showcasing their resilience and connection to Christmas despite their harsh living conditions.""The Miners are individuals who labor in the moor, showcasing their resilience and connection to Christmas despite their harsh living conditions.""The Miners refer to a group of laborers living in a bleak landscape, embodying the struggles and resilience of working-class life."', 'source_id': 'chunk-91614df5cb74cbe5e109a338a82041e9'} -2024-10-30 05:40:24,624 - lightrag - INFO - get_node:query:MATCH (n:`THE OFFICERS`) RETURN n:result: -2024-10-30 05:40:24,768 - lightrag - INFO - _do_upsert:query: - MERGE (n:`THE OFFICERS`) - SET n += $properties - RETURN n - :result:{'entity_type': '"ORGANIZATION"', 'description': '"The Officers are dark, ghostly figures aboard the ship, participating in the shared camaraderie of the Christmas spirit."', 'source_id': 'chunk-91614df5cb74cbe5e109a338a82041e9'} -2024-10-30 05:40:24,903 - lightrag - INFO - get_node:query:MATCH (n:`THE WAVE`) RETURN n:result: -2024-10-30 05:40:25,046 - lightrag - INFO - _do_upsert:query: - MERGE (n:`THE WAVE`) - SET n += $properties - RETURN n - :result:{'entity_type': '"GEO"', 'description': '"The Wave is described as thundering and raging, representing the overwhelming natural forces present in the sea setting."', 'source_id': 'chunk-91614df5cb74cbe5e109a338a82041e9'} -2024-10-30 05:40:25,182 - lightrag - INFO - get_node:query:MATCH (n:`STORM-BIRDS`) RETURN n:result:"Storm-Birds are depicted as creatures that rise and fall with the waves, symbolizing the harshness of the environment and the connection to the sea."', 'source_id': 'chunk-91614df5cb74cbe5e109a338a82041e9'}> -2024-10-30 05:40:25,337 - lightrag - INFO - _do_upsert:query: - MERGE (n:`STORM-BIRDS`) - SET n += $properties - RETURN n - :result:{'entity_type': '"GEO"', 'description': '"Storm-Birds are creatures associated with the wild sea, symbolizing the untamed nature of the environment around the lighthouse.""Storm-Birds are creatures associated with the wild sea, symbolizing the untamed nature of the environment around the lighthouse.""Storm-Birds are depicted as creatures that rise and fall with the waves, symbolizing the harshness of the environment and the connection to the sea."', 'source_id': 'chunk-91614df5cb74cbe5e109a338a82041e9'} -2024-10-30 05:40:25,471 - lightrag - INFO - get_node:query:MATCH (n:`SCROOGE'S NIECE`) RETURN n:result:"Scrooge\'s Niece is depicted as a beautiful and lively character who expresses strong opinions about her uncle Scrooge.""Scrooge\'s niece is depicted as a joyful participant in the evening\'s festivities, engaging in games and music.""Scrooge\'s niece is a central figure in the family gathering, enjoying the festivities and games, showing a loving and vibrant personality."', 'source_id': 'chunk-773d0df1dd25c356f7b771d780583e09chunk-43c9bee23adfa77aa9dedd22401bba7d'}> -2024-10-30 05:40:25,608 - lightrag - INFO - _do_upsert:query: - MERGE (n:`SCROOGE'S NIECE`) - SET n += $properties - RETURN n - :result:{'entity_type': '"PERSON"', 'description': '"Scrooge\'s Niece is a lively character who expresses indignation towards Scrooge\'s disdain for Christmas and embodies warmth and charm, showing affection and concern for family.""Scrooge\'s Niece is a lively character who expresses indignation towards Scrooge\'s disdain for Christmas and embodies warmth and charm, showing affection and concern for family.""Scrooge\'s Niece is depicted as a beautiful and lively character who expresses strong opinions about her uncle Scrooge.""Scrooge\'s niece is depicted as a joyful participant in the evening\'s festivities, engaging in games and music.""Scrooge\'s niece is a central figure in the family gathering, enjoying the festivities and games, showing a loving and vibrant personality.""Scrooge\'s niece is a central figure in the family gathering, enjoying the festivities and games, showing a loving and vibrant personality."', 'source_id': 'chunk-43c9bee23adfa77aa9dedd22401bba7dchunk-773d0df1dd25c356f7b771d780583e09'} -2024-10-30 05:40:25,747 - lightrag - INFO - get_node:query:MATCH (n:`TOPPER`) RETURN n:result:"Topper is a character who participates in the dinner and seems to have an interest in one of Scrooge\'s niece\'s sisters.""Topper is a guest at the Christmas party, representing the jovial and festive spirit of the gathering with Fred and Scrooge.""Topper is a jovial character who participates in games and is known for his playful and somewhat roguish behavior during the festivities.""Topper is a member of Scrooge\'s Niece\'s social group, characterized by his playful manner and romantic interests, notably towards one of Scrooge\'s Niece\'s sisters.""Topper is one of Fred\'s friends who attends the Christmas gathering, contributing to the joyful atmosphere of the celebration."', 'source_id': 'chunk-773d0df1dd25c356f7b771d780583e09chunk-94bea83e7153fc2064aa382b494936a1chunk-43c9bee23adfa77aa9dedd22401bba7d'}> -2024-10-30 05:40:25,889 - lightrag - INFO - _do_upsert:query: - MERGE (n:`TOPPER`) - SET n += $properties - RETURN n - :result:{'entity_type': '"PERSON"', 'description': '"Topper is a character known for his lively and mischievous behavior during the games at the festive gathering.""Topper is a character who participates in the dinner and seems to have an interest in one of Scrooge\'s niece\'s sisters.""Topper is a guest at the Christmas party, representing the jovial and festive spirit of the gathering with Fred and Scrooge.""Topper is a jovial character who participates in games and is known for his playful and somewhat roguish behavior during the festivities.""Topper is a member of Scrooge\'s Niece\'s social group, characterized by his playful manner and romantic interests, notably towards one of Scrooge\'s Niece\'s sisters.""Topper is one of Fred\'s friends who attends the Christmas gathering, contributing to the joyful atmosphere of the celebration.""Topper is a jovial character who participates in games and is known for his playful and somewhat roguish behavior during the festivities.""Topper is a member of Scrooge\'s Niece\'s social group, characterized by his playful manner and romantic interests, notably towards one of Scrooge\'s Niece\'s sisters.""Topper is one of Fred\'s friends who attends the Christmas gathering, contributing to the joyful atmosphere of the celebration."', 'source_id': 'chunk-43c9bee23adfa77aa9dedd22401bba7dchunk-94bea83e7153fc2064aa382b494936a1chunk-773d0df1dd25c356f7b771d780583e09'} -2024-10-30 05:40:26,030 - lightrag - INFO - get_node:query:MATCH (n:`SCROOGE'S NIECE'S SISTERS`) RETURN n:result:"Scrooge\'s Niece\'s Sisters are part of the family gathering, contributing to the lively atmosphere and expressing opinions about Scrooge."', 'source_id': 'chunk-773d0df1dd25c356f7b771d780583e09'}> -2024-10-30 05:40:26,171 - lightrag - INFO - _do_upsert:query: - MERGE (n:`SCROOGE'S NIECE'S SISTERS`) - SET n += $properties - RETURN n - :result:{'entity_type': '"PERSON"', 'description': '"Scrooge\'s Niece\'s Sisters are a part of the family gathering, expressing their opinions and adding to the lively atmosphere with their laughter and good humor.""Scrooge\'s Niece\'s Sisters are a part of the family gathering, expressing their opinions and adding to the lively atmosphere with their laughter and good humor.""Scrooge\'s Niece\'s Sisters are part of the family gathering, contributing to the lively atmosphere and expressing opinions about Scrooge."', 'source_id': 'chunk-773d0df1dd25c356f7b771d780583e09'} -2024-10-30 05:40:26,308 - lightrag - INFO - get_node:query:MATCH (n:`THE PLUMP SISTER`) RETURN n:result:"The Plump Sister is depicted in a light-hearted and humorous context, illustrating the fun of Christmas gatherings.""The plump sister is a character involved in the games, specifically blind man\'s-buff, and captures Topper\'s attention during the festivities.""The Plump Sister is one of Scrooge\'s Niece\'s sisters, characterized by her bashfulness and her attempts to maintain decorum amidst the laughter."', 'source_id': 'chunk-773d0df1dd25c356f7b771d780583e09chunk-89777b838d5447c7bd1ec11282c4ee89chunk-43c9bee23adfa77aa9dedd22401bba7d'}> -2024-10-30 05:40:26,445 - lightrag - INFO - _do_upsert:query: - MERGE (n:`THE PLUMP SISTER`) - SET n += $properties - RETURN n - :result:{'entity_type': '"PERSON"', 'description': '"The Plump Sister is a character in the gathering who becomes the focus of Topper\'s playful advances during the games, contributing to the comedic aspects of the gathering.""The Plump Sister is a character in the gathering who becomes the focus of Topper\'s playful advances during the games, contributing to the comedic aspects of the gathering.""The Plump Sister is depicted in a light-hearted and humorous context, illustrating the fun of Christmas gatherings.""The plump sister is a character involved in the games, specifically blind man\'s-buff, and captures Topper\'s attention during the festivities.""The Plump Sister is one of Scrooge\'s Niece\'s sisters, characterized by her bashfulness and her attempts to maintain decorum amidst the laughter.""The Plump Sister is one of Scrooge\'s Niece\'s sisters, characterized by her bashfulness and her attempts to maintain decorum amidst the laughter."', 'source_id': 'chunk-43c9bee23adfa77aa9dedd22401bba7dchunk-89777b838d5447c7bd1ec11282c4ee89chunk-773d0df1dd25c356f7b771d780583e09'} -2024-10-30 05:40:26,580 - lightrag - INFO - get_node:query:MATCH (n:`DINNER`) RETURN n:result: -2024-10-30 05:40:26,717 - lightrag - INFO - _do_upsert:query: - MERGE (n:`DINNER`) - SET n += $properties - RETURN n - :result:{'entity_type': '"EVENT"', 'description': '"Dinner is the festive meal that is shared among the characters, symbolizing the warmth of family and celebration that contrasts with Scrooge\'s isolated demeanor."', 'source_id': 'chunk-773d0df1dd25c356f7b771d780583e09'} -2024-10-30 05:40:26,850 - lightrag - INFO - get_node:query:MATCH (n:`MERRIMENT`) RETURN n:result:"Merriment refers to the joyful and festive atmosphere that the characters aim to create, opposing Scrooge\'s jaded perspective on social gatherings."', 'source_id': 'chunk-773d0df1dd25c356f7b771d780583e09chunk-e7637ff18c5ded77a68cce0a87883fad'}> -2024-10-30 05:40:26,994 - lightrag - INFO - _do_upsert:query: - MERGE (n:`MERRIMENT`) - SET n += $properties - RETURN n - :result:{'entity_type': '"CONCEPT"', 'description': '"Merriment embodies the joy and celebration associated with the holiday season and the gathering of family and friends in the narrative.""Merriment embodies the joy and celebration associated with the holiday season and the gathering of family and friends in the narrative.""Merriment refers to the joyful and festive atmosphere that the characters aim to create, opposing Scrooge\'s jaded perspective on social gatherings.""Merriment refers to the joyful and festive atmosphere that the characters aim to create, opposing Scrooge\'s jaded perspective on social gatherings."', 'source_id': 'chunk-773d0df1dd25c356f7b771d780583e09chunk-e7637ff18c5ded77a68cce0a87883fad'} -2024-10-30 05:40:27,136 - lightrag - INFO - get_node:query:MATCH (n:`BLIND MAN'S BUFF`) RETURN n:result: -2024-10-30 05:40:27,294 - lightrag - INFO - _do_upsert:query: - MERGE (n:`BLIND MAN'S BUFF`) - SET n += $properties - RETURN n - :result:{'entity_type': '"EVENT"', 'description': '"Blind Man\'s Buff is a traditional game played during the gathering, contributing to the festive atmosphere and interactions among the guests."', 'source_id': 'chunk-43c9bee23adfa77aa9dedd22401bba7d'} -2024-10-30 05:40:27,425 - lightrag - INFO - get_node:query:MATCH (n:`FORFEITS`) RETURN n:result:"Forfeits is another social game played by the characters, emphasizing the playful nature of their Christmas celebration."', 'source_id': 'chunk-43c9bee23adfa77aa9dedd22401bba7d'}> -2024-10-30 05:40:27,564 - lightrag - INFO - _do_upsert:query: - MERGE (n:`FORFEITS`) - SET n += $properties - RETURN n - :result:{'entity_type': '"EVENT"', 'description': '"Forfeits is another game played that allows participants to engage in fun activities, emphasizing the spirit of the gathering.""Forfeits is another social game played by the characters, emphasizing the playful nature of their Christmas celebration.""Forfeits is another social game played by the characters, emphasizing the playful nature of their Christmas celebration."', 'source_id': 'chunk-43c9bee23adfa77aa9dedd22401bba7d'} -2024-10-30 05:40:27,696 - lightrag - INFO - get_node:query:MATCH (n:`THE HARP`) RETURN n:result: -2024-10-30 05:40:27,835 - lightrag - INFO - _do_upsert:query: - MERGE (n:`THE HARP`) - SET n += $properties - RETURN n - :result:{'entity_type': '"TECHNOLOGY"', 'description': '"The Harp is a musical instrument played by Scrooge\'s niece, contributing to the evening\'s entertainment and illustrating the family\'s musical talents."', 'source_id': 'chunk-43c9bee23adfa77aa9dedd22401bba7d'} -2024-10-30 05:40:27,970 - lightrag - INFO - get_node:query:MATCH (n:`CHRISTMAS HOLIDAYS`) RETURN n:result:"The Christmas Holidays serve as a crucial backdrop for the narrative, representing themes of generosity, family, and redemption."', 'source_id': 'chunk-e7637ff18c5ded77a68cce0a87883fad'}> -2024-10-30 05:40:28,107 - lightrag - INFO - _do_upsert:query: - MERGE (n:`CHRISTMAS HOLIDAYS`) - SET n += $properties - RETURN n - :result:{'entity_type': '"EVENT"', 'description': '"Christmas Holidays signify a time for celebration, reflection, and reconciliation, playing a critical role in Scrooge\'s transformation.""Christmas Holidays signify a time for celebration, reflection, and reconciliation, playing a critical role in Scrooge\'s transformation.""The Christmas Holidays serve as a crucial backdrop for the narrative, representing themes of generosity, family, and redemption."', 'source_id': 'chunk-e7637ff18c5ded77a68cce0a87883fad'} -2024-10-30 05:40:28,242 - lightrag - INFO - get_node:query:MATCH (n:`IGNORANCE`) RETURN n:result:"Ignorance is personified as a boy that symbolizes the dangers of ignoring social issues and the consequences of a lack of awareness.""Ignorance personifies a societal failing, depicted as a child, warning of the dangers of neglect and moral responsibility.""Ignorance refers to one of the two children presented by the Spirit, symbolizing societal neglect and the consequences of lack of awareness."', 'source_id': 'chunk-e7637ff18c5ded77a68cce0a87883fadchunk-02baee20cc9463dbe08170a8e1043e32'}> -2024-10-30 05:40:28,380 - lightrag - INFO - _do_upsert:query: - MERGE (n:`IGNORANCE`) - SET n += $properties - RETURN n - :result:{'entity_type': '"CONCEPT"', 'description': '"Ignorance is personified as a boy shown to Scrooge by the Spirit, representing a societal issue that appeals for attention and change.""Ignorance is personified as a boy that symbolizes the dangers of ignoring social issues and the consequences of a lack of awareness.""Ignorance personifies a societal failing, depicted as a child, warning of the dangers of neglect and moral responsibility.""Ignorance refers to one of the two children presented by the Spirit, symbolizing societal neglect and the consequences of lack of awareness.""Ignorance personifies a societal failing, depicted as a child, warning of the dangers of neglect and moral responsibility.""Ignorance refers to one of the two children presented by the Spirit, symbolizing societal neglect and the consequences of lack of awareness."', 'source_id': 'chunk-02baee20cc9463dbe08170a8e1043e32chunk-e7637ff18c5ded77a68cce0a87883fad'} -2024-10-30 05:40:28,516 - lightrag - INFO - get_node:query:MATCH (n:`WANT`) RETURN n:result:"Want is represented as the second child shown by the Spirit, symbolizing the dire social conditions and needs of the impoverished.""Want represents another societal failing, portrayed as a girl, symbolizing deprivation and yearning for basic needs."', 'source_id': 'chunk-e7637ff18c5ded77a68cce0a87883fadchunk-02baee20cc9463dbe08170a8e1043e32'}> -2024-10-30 05:40:28,653 - lightrag - INFO - _do_upsert:query: - MERGE (n:`WANT`) - SET n += $properties - RETURN n - :result:{'entity_type': '"CONCEPT"', 'description': '"Want is depicted as a girl, representing the consequences of poverty and desire in society, warning against neglecting these issues.""Want is represented as the second child shown by the Spirit, symbolizing the dire social conditions and needs of the impoverished.""Want represents another societal failing, portrayed as a girl, symbolizing deprivation and yearning for basic needs.""Want is represented as the second child shown by the Spirit, symbolizing the dire social conditions and needs of the impoverished.""Want represents another societal failing, portrayed as a girl, symbolizing deprivation and yearning for basic needs."', 'source_id': 'chunk-02baee20cc9463dbe08170a8e1043e32chunk-e7637ff18c5ded77a68cce0a87883fad'} -2024-10-30 05:40:28,789 - lightrag - INFO - get_node:query:MATCH (n:`ALMS HOUSE`) RETURN n:result: -2024-10-30 05:40:28,926 - lightrag - INFO - _do_upsert:query: - MERGE (n:`ALMS HOUSE`) - SET n += $properties - RETURN n - :result:{'entity_type': '"ORGANIZATION"', 'description': '"Alms House refers to a charitable institution visited by the Spirit, where the poor receive support and care."', 'source_id': 'chunk-e7637ff18c5ded77a68cce0a87883fad'} -2024-10-30 05:40:29,057 - lightrag - INFO - get_node:query:MATCH (n:`HOSPITAL`) RETURN n:result:"The Hospital represents a location of care and compassion, highlighting the human condition and the need for kindness."', 'source_id': 'chunk-e7637ff18c5ded77a68cce0a87883fad'}> -2024-10-30 05:40:29,195 - lightrag - INFO - _do_upsert:query: - MERGE (n:`HOSPITAL`) - SET n += $properties - RETURN n - :result:{'entity_type': '"ORGANIZATION"', 'description': '"Hospital signifies a place of healing and care, visited by the Spirit in the story.""Hospital signifies a place of healing and care, visited by the Spirit in the story.""The Hospital represents a location of care and compassion, highlighting the human condition and the need for kindness."', 'source_id': 'chunk-e7637ff18c5ded77a68cce0a87883fad'} -2024-10-30 05:40:29,329 - lightrag - INFO - get_node:query:MATCH (n:`GAOL`) RETURN n:result:"The Gaol symbolizes imprisonment and despair, representing the societal failings and the need for mercy and understanding."', 'source_id': 'chunk-e7637ff18c5ded77a68cce0a87883fad'}> -2024-10-30 05:40:29,471 - lightrag - INFO - _do_upsert:query: - MERGE (n:`GAOL`) - SET n += $properties - RETURN n - :result:{'entity_type': '"ORGANIZATION"', 'description': '"Gaol refers to a prison, illustrating the theme of social justice and the conditions of the impoverished in society.""Gaol refers to a prison, illustrating the theme of social justice and the conditions of the impoverished in society.""The Gaol symbolizes imprisonment and despair, representing the societal failings and the need for mercy and understanding."', 'source_id': 'chunk-e7637ff18c5ded77a68cce0a87883fad'} -2024-10-30 05:40:29,606 - lightrag - INFO - get_node:query:MATCH (n:`TWELFTH NIGHT`) RETURN n:result: -2024-10-30 05:40:29,745 - lightrag - INFO - _do_upsert:query: - MERGE (n:`TWELFTH NIGHT`) - SET n += $properties - RETURN n - :result:{'entity_type': '"EVENT"', 'description': '"Twelfth Night is a festive occasion celebrated in the story, showcasing family gatherings and merriment during the holiday season."', 'source_id': 'chunk-e7637ff18c5ded77a68cce0a87883fad'} -2024-10-30 05:40:29,878 - lightrag - INFO - get_node:query:MATCH (n:`MULLED WINE`) RETURN n:result:"Mulled Wine symbolizes warmth and cheer, often associated with celebrations during the holiday season, particularly in the context of family gatherings."', 'source_id': 'chunk-e7637ff18c5ded77a68cce0a87883fad'}> -2024-10-30 05:40:30,014 - lightrag - INFO - _do_upsert:query: - MERGE (n:`MULLED WINE`) - SET n += $properties - RETURN n - :result:{'entity_type': '"EVENT"', 'description': '"Mulled Wine is a festive drink mentioned in the context of celebration during the Christmas gathering.""Mulled Wine is a festive drink mentioned in the context of celebration during the Christmas gathering.""Mulled Wine symbolizes warmth and cheer, often associated with celebrations during the holiday season, particularly in the context of family gatherings."', 'source_id': 'chunk-e7637ff18c5ded77a68cce0a87883fad'} -2024-10-30 05:40:30,150 - lightrag - INFO - get_node:query:MATCH (n:`PHANTOM`) RETURN n:result: -2024-10-30 05:40:30,288 - lightrag - INFO - _do_upsert:query: - MERGE (n:`PHANTOM`) - SET n += $properties - RETURN n - :result:{'entity_type': '"ORGANIZATION"', 'description': '"The Phantom is a representation of death and the unknown future, appearing to Scrooge with a mysterious and intimidating presence."', 'source_id': 'chunk-02baee20cc9463dbe08170a8e1043e32'} -2024-10-30 05:40:30,419 - lightrag - INFO - get_node:query:MATCH (n:`BUSINESS MEN`) RETURN n:result: -2024-10-30 05:40:30,555 - lightrag - INFO - _do_upsert:query: - MERGE (n:`BUSINESS MEN`) - SET n += $properties - RETURN n - :result:{'entity_type': '"ORGANIZATION"', 'description': '"The business men are a group discussing Scrooge\'s death, reflecting society\'s indifference and the consequential nature of wealth."', 'source_id': 'chunk-02baee20cc9463dbe08170a8e1043e32'} -2024-10-30 05:40:30,688 - lightrag - INFO - get_node:query:MATCH (n:`THE DEAD MAN`) RETURN n:result:"The Dead man is the subject of discussion among the business men, representing Scrooge himself and the consequences of his life."', 'source_id': 'chunk-02baee20cc9463dbe08170a8e1043e32chunk-60fc063c79fc0d4acc91a57e79de04dc'}> -2024-10-30 05:40:30,823 - lightrag - INFO - _do_upsert:query: - MERGE (n:`THE DEAD MAN`) - SET n += $properties - RETURN n - :result:{'entity_type': '"PERSON"', 'description': '"The Dead Man is mentioned as the previous owner of the items being appraised, embodying the consequences of greed and isolation.""The Dead man is the subject of discussion among the business men, representing Scrooge himself and the consequences of his life.""The Dead man is the subject of discussion among the business men, representing Scrooge himself and the consequences of his life."', 'source_id': 'chunk-60fc063c79fc0d4acc91a57e79de04dcchunk-02baee20cc9463dbe08170a8e1043e32'} -2024-10-30 05:40:30,958 - lightrag - INFO - get_node:query:MATCH (n:`JACOB`) RETURN n:result:"Jacob is referenced as Scrooge\'s old partner, significant for his recent death and the impact of this event on Scrooge\'s reflections."', 'source_id': 'chunk-f1a4fbcf1ed86864b9bfd5e8dba4c683'}> -2024-10-30 05:40:31,096 - lightrag - INFO - _do_upsert:query: - MERGE (n:`JACOB`) - SET n += $properties - RETURN n - :result:{'entity_type': '"PERSON"', 'description': '"Jacob is Scrooge\'s old partner whose death is acknowledged, influencing Scrooge\'s reflections on his own life and future.""Jacob is Scrooge\'s old partner whose death is acknowledged, influencing Scrooge\'s reflections on his own life and future.""Jacob is referenced as Scrooge\'s old partner, significant for his recent death and the impact of this event on Scrooge\'s reflections."', 'source_id': 'chunk-f1a4fbcf1ed86864b9bfd5e8dba4c683'} -2024-10-30 05:40:31,230 - lightrag - INFO - get_node:query:MATCH (n:`THE TOWN`) RETURN n:result: -2024-10-30 05:40:31,368 - lightrag - INFO - _do_upsert:query: - MERGE (n:`THE TOWN`) - SET n += $properties - RETURN n - :result:{'entity_type': '"GEO"', 'description': '"The Town is depicted as an obscure and morally degraded area contrasting with the lively scenes, indicating deep societal issues."', 'source_id': 'chunk-f1a4fbcf1ed86864b9bfd5e8dba4c683'} -2024-10-30 05:40:31,500 - lightrag - INFO - get_node:query:MATCH (n:`THE LOW-BROWED SHOP`) RETURN n:result:"The Low-Browed Shop is a setting that symbolizes neglect and degradation, filled with discarded items and representing societal decay."', 'source_id': 'chunk-f1a4fbcf1ed86864b9bfd5e8dba4c683'}> -2024-10-30 05:40:31,635 - lightrag - INFO - _do_upsert:query: - MERGE (n:`THE LOW-BROWED SHOP`) - SET n += $properties - RETURN n - :result:{'entity_type': '"ORGANIZATION"', 'description': '"The Low-Browed Shop is a grim establishment in the town dealing in various unwanted goods, representing decay and desperation.""The Low-Browed Shop is a grim establishment in the town dealing in various unwanted goods, representing decay and desperation.""The Low-Browed Shop is a setting that symbolizes neglect and degradation, filled with discarded items and representing societal decay."', 'source_id': 'chunk-f1a4fbcf1ed86864b9bfd5e8dba4c683'} -2024-10-30 05:40:31,774 - lightrag - INFO - get_node:query:MATCH (n:`RED-FACED GENTLEMAN`) RETURN n:result: -2024-10-30 05:40:31,921 - lightrag - INFO - _do_upsert:query: - MERGE (n:`RED-FACED GENTLEMAN`) - SET n += $properties - RETURN n - :result:{'entity_type': '"PERSON"', 'description': '"The Red-faced Gentleman is a character who humorously discusses the potential nature of a cheap funeral at the gathering."', 'source_id': 'chunk-f1a4fbcf1ed86864b9bfd5e8dba4c683'} -2024-10-30 05:40:32,057 - lightrag - INFO - get_node:query:MATCH (n:`GENTLEMAN WITH THE EXCRESCENCE`) RETURN n:result: -2024-10-30 05:40:32,194 - lightrag - INFO - _do_upsert:query: - MERGE (n:`GENTLEMAN WITH THE EXCRESCENCE`) - SET n += $properties - RETURN n - :result:{'entity_type': '"PERSON"', 'description': '"The Gentleman with the Excrescence is characterized by a physical trait and provides humorous remarks about attending a funeral."', 'source_id': 'chunk-f1a4fbcf1ed86864b9bfd5e8dba4c683'} -2024-10-30 05:40:32,326 - lightrag - INFO - get_node:query:MATCH (n:`OLD SCRATCH`) RETURN n:result:"Old Scratch is mentioned as a figure related to the conversation, symbolizing mischief and humor."', 'source_id': 'chunk-89777b838d5447c7bd1ec11282c4ee89chunk-f1a4fbcf1ed86864b9bfd5e8dba4c683'}> -2024-10-30 05:40:32,464 - lightrag - INFO - _do_upsert:query: - MERGE (n:`OLD SCRATCH`) - SET n += $properties - RETURN n - :result:{'entity_type': '"CONCEPT"', 'description': '"Old Scratch is a colloquial term used in reference to the devil, indicating a grim context in discussions about death.""Old Scratch is a colloquial term used in reference to the devil, indicating a grim context in discussions about death.""Old Scratch is mentioned as a figure related to the conversation, symbolizing mischief and humor."', 'source_id': 'chunk-f1a4fbcf1ed86864b9bfd5e8dba4c683chunk-89777b838d5447c7bd1ec11282c4ee89'} -2024-10-30 05:40:32,596 - lightrag - INFO - get_node:query:MATCH (n:`THE MEETING`) RETURN n:result: -2024-10-30 05:40:32,734 - lightrag - INFO - _do_upsert:query: - MERGE (n:`THE MEETING`) - SET n += $properties - RETURN n - :result:{'entity_type': '"EVENT"', 'description': '"The Meeting is characterized by light-hearted banter among characters regarding the funeral and their connections to the deceased."', 'source_id': 'chunk-f1a4fbcf1ed86864b9bfd5e8dba4c683'} -2024-10-30 05:40:32,867 - lightrag - INFO - get_node:query:MATCH (n:`THE PHANTOM`) RETURN n:result:"The Phantom represents the supernatural element in Scrooge\'s journey of self-reflection and moral awakening."', 'source_id': 'chunk-f1a4fbcf1ed86864b9bfd5e8dba4c683'}> -2024-10-30 05:40:33,005 - lightrag - INFO - _do_upsert:query: - MERGE (n:`THE PHANTOM`) - SET n += $properties - RETURN n - :result:{'entity_type': '"ORGANIZATION"', 'description': '"The Phantom represents a ghostly presence guiding Scrooge through reflections on his life and future decisions.""The Phantom represents a ghostly presence guiding Scrooge through reflections on his life and future decisions.""The Phantom represents the supernatural element in Scrooge\'s journey of self-reflection and moral awakening."', 'source_id': 'chunk-f1a4fbcf1ed86864b9bfd5e8dba4c683'} -2024-10-30 05:40:33,144 - lightrag - INFO - get_node:query:MATCH (n:`THE QUARTER`) RETURN n:result: -2024-10-30 05:40:33,284 - lightrag - INFO - _do_upsert:query: - MERGE (n:`THE QUARTER`) - SET n += $properties - RETURN n - :result:{'entity_type': '"GEO"', 'description': '"The Quarter is a depiction of an impoverished and crime-ridden area of the town, emphasizing societal neglect."', 'source_id': 'chunk-f1a4fbcf1ed86864b9bfd5e8dba4c683'} -2024-10-30 05:40:33,415 - lightrag - INFO - get_node:query:MATCH (n:`THE COAL SHOP`) RETURN n:result: -2024-10-30 05:40:33,553 - lightrag - INFO - _do_upsert:query: - MERGE (n:`THE COAL SHOP`) - SET n += $properties - RETURN n - :result:{'entity_type': '"ORGANIZATION"', 'description': '"The Coal Shop is a den of lowly transactions that signifies the harsh living conditions experienced by the characters in the quarter."', 'source_id': 'chunk-f1a4fbcf1ed86864b9bfd5e8dba4c683'} -2024-10-30 05:40:33,686 - lightrag - INFO - get_node:query:MATCH (n:`MISCELLANEOUS TATTERS`) RETURN n:result: -2024-10-30 05:40:33,823 - lightrag - INFO - _do_upsert:query: - MERGE (n:`MISCELLANEOUS TATTERS`) - SET n += $properties - RETURN n - :result:{'entity_type': '"CONCEPT"', 'description': '"Miscellaneous Tatters symbolize the shabby and worn conditions surrounding the characters in the Low-Browed Shop."', 'source_id': 'chunk-f1a4fbcf1ed86864b9bfd5e8dba4c683'} -2024-10-30 05:40:33,956 - lightrag - INFO - get_node:query:MATCH (n:`THE CHARCOAL STOVE`) RETURN n:result: -2024-10-30 05:40:34,093 - lightrag - INFO - _do_upsert:query: - MERGE (n:`THE CHARCOAL STOVE`) - SET n += $properties - RETURN n - :result:{'entity_type': '"TECHNOLOGY"', 'description': '"The Charcoal Stove is a humble source of warmth within the Low-Browed Shop, indicative of the bleak environment."', 'source_id': 'chunk-f1a4fbcf1ed86864b9bfd5e8dba4c683'} -2024-10-30 05:40:34,229 - lightrag - INFO - get_node:query:MATCH (n:`OLD JOE`) RETURN n:result:"Old Joe is a grey-haired man, nearly seventy years old, who runs a shop and conducts business in a rather nonchalant manner, showcasing a certain charm amidst his questionable dealings."', 'source_id': 'chunk-60fc063c79fc0d4acc91a57e79de04dc'}> -2024-10-30 05:40:34,366 - lightrag - INFO - _do_upsert:query: - MERGE (n:`OLD JOE`) - SET n += $properties - RETURN n - :result:{'entity_type': '"PERSON"', 'description': '"Old Joe is a grey-haired man who runs a shop where people come to sell their belongings after a death, embodying a rough, pragmatic character.""Old Joe is a grey-haired man who runs a shop where people come to sell their belongings after a death, embodying a rough, pragmatic character.""Old Joe is a grey-haired man, nearly seventy years old, who runs a shop and conducts business in a rather nonchalant manner, showcasing a certain charm amidst his questionable dealings."', 'source_id': 'chunk-60fc063c79fc0d4acc91a57e79de04dc'} -2024-10-30 05:40:34,499 - lightrag - INFO - get_node:query:MATCH (n:`MRS. DILBER`) RETURN n:result:"Mrs. Dilber is a laundress who participates in the gathering, commenting on the morality of their actions with a laugh."', 'source_id': 'chunk-60fc063c79fc0d4acc91a57e79de04dc'}> -2024-10-30 05:40:34,640 - lightrag - INFO - _do_upsert:query: - MERGE (n:`MRS. DILBER`) - SET n += $properties - RETURN n - :result:{'entity_type': '"PERSON"', 'description': '"Mrs. Dilber is a laundress who is involved in the discussion about the belongings they are handling, exhibiting a pragmatic attitude towards the situation.""Mrs. Dilber is a laundress who participates in the gathering, commenting on the morality of their actions with a laugh.""Mrs. Dilber is a laundress who participates in the gathering, commenting on the morality of their actions with a laugh."', 'source_id': 'chunk-60fc063c79fc0d4acc91a57e79de04dc'} -2024-10-30 05:40:34,773 - lightrag - INFO - get_node:query:MATCH (n:`THE MAN IN FADED BLACK`) RETURN n:result: -2024-10-30 05:40:34,912 - lightrag - INFO - _do_upsert:query: - MERGE (n:`THE MAN IN FADED BLACK`) - SET n += $properties - RETURN n - :result:{'entity_type': '"PERSON"', 'description': '"The Man in Faded Black is a character who, echoing the sentiments of the others, reveals his modest haul of stolen goods during the gathering."', 'source_id': 'chunk-60fc063c79fc0d4acc91a57e79de04dc'} -2024-10-30 05:40:35,047 - lightrag - INFO - get_node:query:MATCH (n:`THE SHOP`) RETURN n:result:"The Shop is a setting where characters gather to appraise items they have taken from the deceased, reflecting their attitudes towards death and morality."', 'source_id': 'chunk-60fc063c79fc0d4acc91a57e79de04dc'}> -2024-10-30 05:40:35,191 - lightrag - INFO - _do_upsert:query: - MERGE (n:`THE SHOP`) - SET n += $properties - RETURN n - :result:{'entity_type': '"ORGANIZATION"', 'description': '"The Shop is Old Joe\'s place of business and serves as the meeting location for the characters, where they evaluate and exchange stolen items.""The Shop is a setting where characters gather to appraise items they have taken from the deceased, reflecting their attitudes towards death and morality.""The Shop is a setting where characters gather to appraise items they have taken from the deceased, reflecting their attitudes towards death and morality."', 'source_id': 'chunk-60fc063c79fc0d4acc91a57e79de04dc'} -2024-10-30 05:40:35,328 - lightrag - INFO - get_node:query:MATCH (n:`THE BUNDLE`) RETURN n:result:"The Bundle refers to the collection of stolen items brought by the characters to Old Joe\'s shop for appraisal, symbolizing their actions post-death.""The Bundle refers to the collection of stolen items that the characters present to Old Joe for appraisal."', 'source_id': 'chunk-e1f29eeadc1d8ab46dc8a0bbd3c56b64chunk-60fc063c79fc0d4acc91a57e79de04dc'}> -2024-10-30 05:40:35,468 - lightrag - INFO - _do_upsert:query: - MERGE (n:`THE BUNDLE`) - SET n += $properties - RETURN n - :result:{'entity_type': '"EVENT"', 'description': '"The Bundle contains the belongings of the deceased man, which serve as a focal point for discussion among the characters regarding value and morality.""The Bundle contains the belongings of the deceased man, which serve as a focal point for discussion among the characters regarding value and morality.""The Bundle refers to the collection of stolen items brought by the characters to Old Joe\'s shop for appraisal, symbolizing their actions post-death.""The Bundle refers to the collection of stolen items that the characters present to Old Joe for appraisal.""The Bundle refers to the collection of stolen items brought by the characters to Old Joe\'s shop for appraisal, symbolizing their actions post-death."', 'source_id': 'chunk-60fc063c79fc0d4acc91a57e79de04dcchunk-e1f29eeadc1d8ab46dc8a0bbd3c56b64'} -2024-10-30 05:40:35,602 - lightrag - INFO - get_node:query:MATCH (n:`THE DEATH`) RETURN n:result: -2024-10-30 05:40:35,739 - lightrag - INFO - _do_upsert:query: - MERGE (n:`THE DEATH`) - SET n += $properties - RETURN n - :result:{'entity_type': '"EVENT"', 'description': '"The Death signifies the passing of a man whose belongings are being appraised, influencing the motivations and actions of the characters."', 'source_id': 'chunk-60fc063c79fc0d4acc91a57e79de04dc'} -2024-10-30 05:40:35,872 - lightrag - INFO - get_node:query:MATCH (n:`THE STOLEN GOODS`) RETURN n:result: -2024-10-30 05:40:36,008 - lightrag - INFO - _do_upsert:query: - MERGE (n:`THE STOLEN GOODS`) - SET n += $properties - RETURN n - :result:{'entity_type': '"EVENT"', 'description': '"The Stolen Goods are the items that the characters bring to Old Joe for evaluation, highlighting their moral stance and the circumstances surrounding the death."', 'source_id': 'chunk-60fc063c79fc0d4acc91a57e79de04dc'} -2024-10-30 05:40:36,141 - lightrag - INFO - get_node:query:MATCH (n:`THE ACCUSATION`) RETURN n:result: -2024-10-30 05:40:36,279 - lightrag - INFO - _do_upsert:query: - MERGE (n:`THE ACCUSATION`) - SET n += $properties - RETURN n - :result:{'entity_type': '"EVENT"', 'description': '"The Accusation refers to the implied judgement of the deceased\'s character that the characters discuss while evaluating their actions."', 'source_id': 'chunk-60fc063c79fc0d4acc91a57e79de04dc'} -2024-10-30 05:40:36,414 - lightrag - INFO - get_node:query:MATCH (n:`THE PARLOUR`) RETURN n:result: -2024-10-30 05:40:36,552 - lightrag - INFO - _do_upsert:query: - MERGE (n:`THE PARLOUR`) - SET n += $properties - RETURN n - :result:{'entity_type': '"LOCATION"', 'description': '"The Parlour is the private space behind the shop curtain where the characters engage in conversation and appraisal, symbolizing a shift from public to private."', 'source_id': 'chunk-60fc063c79fc0d4acc91a57e79de04dc'} -2024-10-30 05:40:36,688 - lightrag - INFO - get_node:query:MATCH (n:`THE RAGS`) RETURN n:result: -2024-10-30 05:40:36,826 - lightrag - INFO - _do_upsert:query: - MERGE (n:`THE RAGS`) - SET n += $properties - RETURN n - :result:{'entity_type': '"CONCEPT"', 'description': '"The Rags serve as a metaphor for the characters\' grim circumstances and the societal implications of their gathering, accentuating the theme of decay and neglect."', 'source_id': 'chunk-60fc063c79fc0d4acc91a57e79de04dc'} -2024-10-30 05:40:36,959 - lightrag - INFO - get_node:query:MATCH (n:`THE COLD AIR`) RETURN n:result: -2024-10-30 05:40:37,095 - lightrag - INFO - _do_upsert:query: - MERGE (n:`THE COLD AIR`) - SET n += $properties - RETURN n - :result:{'entity_type': '"CONCEPT"', 'description': '"The Cold Air symbolizes the harsh realities surrounding the characters and their actions, emphasizing the atmosphere of deprivation."', 'source_id': 'chunk-60fc063c79fc0d4acc91a57e79de04dc'} -2024-10-30 05:40:37,229 - lightrag - INFO - get_node:query:MATCH (n:`JUDGMENT`) RETURN n:result: -2024-10-30 05:40:37,366 - lightrag - INFO - _do_upsert:query: - MERGE (n:`JUDGMENT`) - SET n += $properties - RETURN n - :result:{'entity_type': '"CONCEPT"', 'description': '"Judgment here refers to the characters\' reflections on morality regarding their actions after the death, questioning societal norms and individual ethics."', 'source_id': 'chunk-60fc063c79fc0d4acc91a57e79de04dc'} -2024-10-30 05:40:37,498 - lightrag - INFO - get_node:query:MATCH (n:`THE LAUGHTER`) RETURN n:result: -2024-10-30 05:40:37,634 - lightrag - INFO - _do_upsert:query: - MERGE (n:`THE LAUGHTER`) - SET n += $properties - RETURN n - :result:{'entity_type': '"EVENT"', 'description': '"The Laughter represents a shared moment among the characters that highlights their camaraderie in the struggle against their grim realities."', 'source_id': 'chunk-60fc063c79fc0d4acc91a57e79de04dc'} -2024-10-30 05:40:37,764 - lightrag - INFO - get_node:query:MATCH (n:`THE DECEASED MAN`) RETURN n:result: -2024-10-30 05:40:37,901 - lightrag - INFO - _do_upsert:query: - MERGE (n:`THE DECEASED MAN`) - SET n += $properties - RETURN n - :result:{'entity_type': '"PERSON"', 'description': '"The Deceased Man is a character whose belongings are being discussed and whose death prompts reactions of horror and contemplation from Scrooge."', 'source_id': 'chunk-e1f29eeadc1d8ab46dc8a0bbd3c56b64'} -2024-10-30 05:40:38,035 - lightrag - INFO - get_node:query:MATCH (n:`DEATH`) RETURN n:result:"Death is described as a powerful force in the narrative, represented through the imagery of a cold, rigid presence and the contemplation of mortality.""Death refers to the passing of a character that triggers a range of emotions and reflections among the living, influencing their lives and relationships.""Death is depicted as a cold, inevitable force, prompting reflections on the value of life and the consequences of avarice."', 'source_id': 'chunk-e1f29eeadc1d8ab46dc8a0bbd3c56b64chunk-83ac129dc9b56f84c46760d153d68e93chunk-02baee20cc9463dbe08170a8e1043e32'}> -2024-10-30 05:40:38,171 - lightrag - INFO - _do_upsert:query: - MERGE (n:`DEATH`) - SET n += $properties - RETURN n - :result:{'entity_type': '"CONCEPT"', 'description': '"Death in the story is a significant event that triggers discussion among the Businessmen and prompts Scrooge\'s reflections.""Death is described as a powerful force in the narrative, represented through the imagery of a cold, rigid presence and the contemplation of mortality.""Death refers to the passing of a character that triggers a range of emotions and reflections among the living, influencing their lives and relationships.""Death is depicted as a cold, inevitable force, prompting reflections on the value of life and the consequences of avarice.""Death is depicted as a cold, inevitable force, prompting reflections on the value of life and the consequences of avarice."', 'source_id': 'chunk-02baee20cc9463dbe08170a8e1043e32chunk-83ac129dc9b56f84c46760d153d68e93chunk-e1f29eeadc1d8ab46dc8a0bbd3c56b64'} -2024-10-30 05:40:38,304 - lightrag - INFO - get_node:query:MATCH (n:`THE BED`) RETURN n:result:"The Bed represents a significant scene where the deceased man\'s body is laid, evoking deep emotions and realizations about life and morality."', 'source_id': 'chunk-e1f29eeadc1d8ab46dc8a0bbd3c56b64'}> -2024-10-30 05:40:38,442 - lightrag - INFO - _do_upsert:query: - MERGE (n:`THE BED`) - SET n += $properties - RETURN n - :result:{'entity_type': '"EVENT"', 'description': '"The Bed represents a central object in the scene, symbolizing the final resting place of The Deceased and contributing to the themes of mortality and neglect.""The Bed represents a significant scene where the deceased man\'s body is laid, evoking deep emotions and realizations about life and morality.""The Bed represents a significant scene where the deceased man\'s body is laid, evoking deep emotions and realizations about life and morality."', 'source_id': 'chunk-e1f29eeadc1d8ab46dc8a0bbd3c56b64'} -2024-10-30 05:40:38,576 - lightrag - INFO - get_node:query:MATCH (n:`THE BLANKETS`) RETURN n:result:"The Blankets are discussed in the context of the deceased\'s possessions, highlighting themes of care and abandonment after death."', 'source_id': 'chunk-e1f29eeadc1d8ab46dc8a0bbd3c56b64'}> -2024-10-30 05:40:38,713 - lightrag - INFO - _do_upsert:query: - MERGE (n:`THE BLANKETS`) - SET n += $properties - RETURN n - :result:{'entity_type': '"CONCEPT"', 'description': '"The Blankets are associated with the deceased man\'s body, symbolizing care and the human connection to the dead.""The Blankets are associated with the deceased man\'s body, symbolizing care and the human connection to the dead.""The Blankets are discussed in the context of the deceased\'s possessions, highlighting themes of care and abandonment after death."', 'source_id': 'chunk-e1f29eeadc1d8ab46dc8a0bbd3c56b64'} -2024-10-30 05:40:38,843 - lightrag - INFO - get_node:query:MATCH (n:`THE OIL`) RETURN n:result: -2024-10-30 05:40:38,982 - lightrag - INFO - _do_upsert:query: - MERGE (n:`THE OIL`) - SET n += $properties - RETURN n - :result:{'entity_type': '"CONCEPT"', 'description': '"The Oil is a material that the woman is cautious about spilling, representing the practical and sometimes distasteful attitude towards the deceased\'s belongings."', 'source_id': 'chunk-e1f29eeadc1d8ab46dc8a0bbd3c56b64'} -2024-10-30 05:40:39,113 - lightrag - INFO - get_node:query:MATCH (n:`THE SHIRT`) RETURN n:result: -2024-10-30 05:40:39,268 - lightrag - INFO - _do_upsert:query: - MERGE (n:`THE SHIRT`) - SET n += $properties - RETURN n - :result:{'entity_type': '"CONCEPT"', 'description': '"The Shirt belonged to the deceased man and is evaluated by the woman who claims it is in good condition, further emphasizing her pragmatic approach to death."', 'source_id': 'chunk-e1f29eeadc1d8ab46dc8a0bbd3c56b64'} -2024-10-30 05:40:39,419 - lightrag - INFO - get_node:query:MATCH (n:`THE FLANNEL BAG`) RETURN n:result:"The Flannel Bag is used by Joe to show the money gained from their dealings with the deceased, highlighting the theme of profit from death."', 'source_id': 'chunk-e1f29eeadc1d8ab46dc8a0bbd3c56b64'}> -2024-10-30 05:40:39,561 - lightrag - INFO - _do_upsert:query: - MERGE (n:`THE FLANNEL BAG`) - SET n += $properties - RETURN n - :result:{'entity_type': '"CONCEPT"', 'description': '"The Flannel Bag contains money and symbolizes the materialistic aspects of life and the relationships surrounding The Deceased’s possessions.""The Flannel Bag is used by Joe to show the money gained from their dealings with the deceased, highlighting the theme of profit from death.""The Flannel Bag is used by Joe to show the money gained from their dealings with the deceased, highlighting the theme of profit from death."', 'source_id': 'chunk-e1f29eeadc1d8ab46dc8a0bbd3c56b64'} -2024-10-30 05:40:39,701 - lightrag - INFO - get_node:query:MATCH (n:`OLD MAN'S LAMP`) RETURN n:result: -2024-10-30 05:40:39,838 - lightrag - INFO - _do_upsert:query: - MERGE (n:`OLD MAN'S LAMP`) - SET n += $properties - RETURN n - :result:{'entity_type': '"CONCEPT"', 'description': '"The Old Man\'s Lamp provides scant light in the scene, contributing to the mood of tension and eeriness surrounding the deceased."', 'source_id': 'chunk-e1f29eeadc1d8ab46dc8a0bbd3c56b64'} -2024-10-30 05:40:39,980 - lightrag - INFO - get_node:query:MATCH (n:`THE CORPSE`) RETURN n:result: -2024-10-30 05:40:40,115 - lightrag - INFO - _do_upsert:query: - MERGE (n:`THE CORPSE`) - SET n += $properties - RETURN n - :result:{'entity_type': '"PERSON"', 'description': '"The Corpse represents the deceased man whose belongings are being discussed, serving as a stark reminder of mortality."', 'source_id': 'chunk-e1f29eeadc1d8ab46dc8a0bbd3c56b64'} -2024-10-30 05:40:40,250 - lightrag - INFO - get_node:query:MATCH (n:`THE DARK ROOM`) RETURN n:result:"The Dark Room serves as the setting for the scene, enhancing the atmosphere of dread and the theme of impending death."', 'source_id': 'chunk-e1f29eeadc1d8ab46dc8a0bbd3c56b64'}> -2024-10-30 05:40:40,392 - lightrag - INFO - _do_upsert:query: - MERGE (n:`THE DARK ROOM`) - SET n += $properties - RETURN n - :result:{'entity_type': '"GEO"', 'description': '"The Dark Room is where the corpse lies, symbolizing isolation and the lack of care for the deceased.""The Dark Room is where the corpse lies, symbolizing isolation and the lack of care for the deceased.""The Dark Room serves as the setting for the scene, enhancing the atmosphere of dread and the theme of impending death."', 'source_id': 'chunk-e1f29eeadc1d8ab46dc8a0bbd3c56b64'} -2024-10-30 05:40:40,529 - lightrag - INFO - get_node:query:MATCH (n:`CAROLINE`) RETURN n:result:"Caroline is portrayed as a mother filled with hope and emotion regarding her husband’s situation, revealing her character through her reactions to news."', 'source_id': 'chunk-83ac129dc9b56f84c46760d153d68e93'}> -2024-10-30 05:40:40,665 - lightrag - INFO - _do_upsert:query: - MERGE (n:`CAROLINE`) - SET n += $properties - RETURN n - :result:{'entity_type': '"PERSON"', 'description': '"Caroline is a character representing hope and emotional depth, reacting to her husband\'s news about their financial situation with a mixture of dread and optimism.""Caroline is portrayed as a mother filled with hope and emotion regarding her husband’s situation, revealing her character through her reactions to news.""Caroline is portrayed as a mother filled with hope and emotion regarding her husband’s situation, revealing her character through her reactions to news."', 'source_id': 'chunk-83ac129dc9b56f84c46760d153d68e93'} -2024-10-30 05:40:40,802 - lightrag - INFO - get_node:query:MATCH (n:`THE CRATCHIT HOUSE`) RETURN n:result: -2024-10-30 05:40:40,938 - lightrag - INFO - _do_upsert:query: - MERGE (n:`THE CRATCHIT HOUSE`) - SET n += $properties - RETURN n - :result:{'entity_type': '"ORGANIZATION"', 'description': '"The Cratchit House symbolizes a place of familial connection and warmth, despite the hardships faced by its inhabitants."', 'source_id': 'chunk-83ac129dc9b56f84c46760d153d68e93'} -2024-10-30 05:40:41,074 - lightrag - INFO - get_node:query:MATCH (n:`THE EVENT OF DEATH`) RETURN n:result: -2024-10-30 05:40:41,211 - lightrag - INFO - _do_upsert:query: - MERGE (n:`THE EVENT OF DEATH`) - SET n += $properties - RETURN n - :result:{'entity_type': '"EVENT"', 'description': '"The Event of Death signifies a pivotal moment affecting the characters, transitioning their emotional state and family dynamics."', 'source_id': 'chunk-83ac129dc9b56f84c46760d153d68e93'} -2024-10-30 05:40:41,344 - lightrag - INFO - get_node:query:MATCH (n:`THE HUSBAND`) RETURN n:result: -2024-10-30 05:40:41,484 - lightrag - INFO - _do_upsert:query: - MERGE (n:`THE HUSBAND`) - SET n += $properties - RETURN n - :result:{'entity_type': '"PERSON"', 'description': '"The Husband is depicted as a careworn man, bringing news that impacts his family\'s emotional state, symbolizing the struggle between hope and despair."', 'source_id': 'chunk-83ac129dc9b56f84c46760d153d68e93'} -2024-10-30 05:40:41,613 - lightrag - INFO - get_node:query:MATCH (n:`PETER`) RETURN n:result:"Peter is one of the Cratchit children, who occasionally expresses a sense of duty and future aspirations, contributing to family discussions.""Peter is a son in the Cratchit family, responsible and calm, attempting to engage his siblings amidst a tense family situation and financial uncertainty.""Peter is the son of Bob and Mrs. Cratchit, showing concern and support for his father and siblings."', 'source_id': 'chunk-83ac129dc9b56f84c46760d153d68e93chunk-1d4b58de5429cd1261370c231c8673e8'}> -2024-10-30 05:40:41,749 - lightrag - INFO - _do_upsert:query: - MERGE (n:`PETER`) - SET n += $properties - RETURN n - :result:{'entity_type': '"PERSON"', 'description': '"Peter is a member of the Cratchit family, characterized by his quiet demeanor while being engaged in reading, representing the next generation\'s concern.""Peter is one of the Cratchit children, who occasionally expresses a sense of duty and future aspirations, contributing to family discussions.""Peter is a son in the Cratchit family, responsible and calm, attempting to engage his siblings amidst a tense family situation and financial uncertainty.""Peter is the son of Bob and Mrs. Cratchit, showing concern and support for his father and siblings.""Peter is a son in the Cratchit family, responsible and calm, attempting to engage his siblings amidst a tense family situation and financial uncertainty.""Peter is the son of Bob and Mrs. Cratchit, showing concern and support for his father and siblings."', 'source_id': 'chunk-1d4b58de5429cd1261370c231c8673e8chunk-83ac129dc9b56f84c46760d153d68e93'} -2024-10-30 05:40:41,884 - lightrag - INFO - get_node:query:MATCH (n:`THE DEBT`) RETURN n:result: -2024-10-30 05:40:42,023 - lightrag - INFO - _do_upsert:query: - MERGE (n:`THE DEBT`) - SET n += $properties - RETURN n - :result:{'entity_type': '"CONCEPT"', 'description': '"The Debt symbolizes the financial burdens faced by the Cratchit family, a source of anxiety and tension impacting their morale and outlook."', 'source_id': 'chunk-83ac129dc9b56f84c46760d153d68e93'} -2024-10-30 05:40:42,156 - lightrag - INFO - get_node:query:MATCH (n:`MR. SCROOGE'S NEPHEW`) RETURN n:result:"Mr. Scrooge\'s Nephew is a kind gentleman who shows concern for Bob Cratchit and offers support, symbolizing generosity and compassion."', 'source_id': 'chunk-1d4b58de5429cd1261370c231c8673e8'}> -2024-10-30 05:40:42,296 - lightrag - INFO - _do_upsert:query: - MERGE (n:`MR. SCROOGE'S NEPHEW`) - SET n += $properties - RETURN n - :result:{'entity_type': '"PERSON"', 'description': '"Mr. Scrooge\'s Nephew is a kind gentleman who expresses sympathy for Bob Cratchit and offers help, reflecting goodwill.""Mr. Scrooge\'s Nephew is a kind gentleman who expresses sympathy for Bob Cratchit and offers help, reflecting goodwill.""Mr. Scrooge\'s Nephew is a kind gentleman who shows concern for Bob Cratchit and offers support, symbolizing generosity and compassion."', 'source_id': 'chunk-1d4b58de5429cd1261370c231c8673e8'} -2024-10-30 05:40:42,432 - lightrag - INFO - get_node:query:MATCH (n:`THE TWO YOUNG CRATCHITS`) RETURN n:result:"The Two Young Cratchits are the younger children in the Cratchit family, who express affection towards their father, Bob."', 'source_id': 'chunk-1d4b58de5429cd1261370c231c8673e8'}> -2024-10-30 05:40:42,567 - lightrag - INFO - _do_upsert:query: - MERGE (n:`THE TWO YOUNG CRATCHITS`) - SET n += $properties - RETURN n - :result:{'entity_type': '"PERSON"', 'description': '"The Two Young Cratchits are siblings who show affection for their father, demonstrating the innocence and unity of childhood.""The Two Young Cratchits are siblings who show affection for their father, demonstrating the innocence and unity of childhood.""The Two Young Cratchits are the younger children in the Cratchit family, who express affection towards their father, Bob."', 'source_id': 'chunk-1d4b58de5429cd1261370c231c8673e8'} -2024-10-30 05:40:42,704 - lightrag - INFO - get_node:query:MATCH (n:`THE TABLE`) RETURN n:result: -2024-10-30 05:40:42,843 - lightrag - INFO - _do_upsert:query: - MERGE (n:`THE TABLE`) - SET n += $properties - RETURN n - :result:{'entity_type': '"GEO"', 'description': '"The Table is where the Cratchit family gathers, representing their domestic life and togetherness."', 'source_id': 'chunk-1d4b58de5429cd1261370c231c8673e8'} -2024-10-30 05:40:42,979 - lightrag - INFO - get_node:query:MATCH (n:`THE ROOM ABOVE`) RETURN n:result: -2024-10-30 05:40:43,114 - lightrag - INFO - _do_upsert:query: - MERGE (n:`THE ROOM ABOVE`) - SET n += $properties - RETURN n - :result:{'entity_type': '"GEO"', 'description': '"The Room Above is a space in the Cratchit household which is illuminated cheerfully, suggesting a haven despite their hardships."', 'source_id': 'chunk-1d4b58de5429cd1261370c231c8673e8'} -2024-10-30 05:40:43,246 - lightrag - INFO - get_node:query:MATCH (n:`THE GHOST OF CHRISTMAS YET TO COME`) RETURN n:result:"The Ghost of Christmas Yet to Come is a spirit that shows Scrooge the consequences of his actions, pointing toward his eventual demise.""The Ghost of Christmas Yet to Come reveals the potential consequences of Scrooge\'s current life choices, emphasizing themes of mortality and legacy."', 'source_id': 'chunk-90b95db5c53e4364a6bee36b7aa4d70fchunk-91572b3cd42786ba4cb2f180ca25cbf4'}> -2024-10-30 05:40:43,392 - lightrag - INFO - _do_upsert:query: - MERGE (n:`THE GHOST OF CHRISTMAS YET TO COME`) - SET n += $properties - RETURN n - :result:{'entity_type': '"ORGANIZATION"', 'description': '"The Ghost of Christmas Yet to Come is a spectral being that guides Scrooge through visions of his potential future.""The Ghost of Christmas Yet to Come is a spirit that shows Scrooge the consequences of his actions, pointing toward his eventual demise.""The Ghost of Christmas Yet to Come reveals the potential consequences of Scrooge\'s current life choices, emphasizing themes of mortality and legacy.""The Ghost of Christmas Yet to Come is a spirit that shows Scrooge the consequences of his actions, pointing toward his eventual demise.""The Ghost of Christmas Yet to Come reveals the potential consequences of Scrooge\'s current life choices, emphasizing themes of mortality and legacy."', 'source_id': 'chunk-90b95db5c53e4364a6bee36b7aa4d70fchunk-91572b3cd42786ba4cb2f180ca25cbf4'} -2024-10-30 05:40:43,526 - lightrag - INFO - get_node:query:MATCH (n:`GRAVE`) RETURN n:result: -2024-10-30 05:40:43,665 - lightrag - INFO - _do_upsert:query: - MERGE (n:`GRAVE`) - SET n += $properties - RETURN n - :result:{'entity_type': '"GEO"', 'description': '"The Grave represents a place where Scrooge\'s future self lies, symbolizing death and the consequences of a life unexamined."', 'source_id': 'chunk-91572b3cd42786ba4cb2f180ca25cbf4'} -2024-10-30 05:40:43,797 - lightrag - INFO - get_node:query:MATCH (n:`THE GRAVESTONE`) RETURN n:result: -2024-10-30 05:40:43,934 - lightrag - INFO - _do_upsert:query: - MERGE (n:`THE GRAVESTONE`) - SET n += $properties - RETURN n - :result:{'entity_type': '"GEO"', 'description': '"The Gravestone bears Scrooge\'s name and symbolizes mortality and the legacy of his actions during his lifetime."', 'source_id': 'chunk-91572b3cd42786ba4cb2f180ca25cbf4'} -2024-10-30 05:40:44,067 - lightrag - INFO - get_node:query:MATCH (n:`THE FUTURE`) RETURN n:result:"The Future represents the potential outcomes of Scrooge’s life choices, depicted through the visions shown by the Spirits.""The Future refers to the outcomes that Scrooge may face based on his current actions, raising themes of choice and consequence."', 'source_id': 'chunk-91572b3cd42786ba4cb2f180ca25cbf4chunk-02baee20cc9463dbe08170a8e1043e32'}> -2024-10-30 05:40:44,205 - lightrag - INFO - _do_upsert:query: - MERGE (n:`THE FUTURE`) - SET n += $properties - RETURN n - :result:{'entity_type': '"CONCEPT"', 'description': '"The Future is represented as a realm of possibility and consequence that concerns Scrooge\'s fate and choices.""The Future represents the potential outcomes of Scrooge’s life choices, depicted through the visions shown by the Spirits.""The Future refers to the outcomes that Scrooge may face based on his current actions, raising themes of choice and consequence.""The Future refers to the outcomes that Scrooge may face based on his current actions, raising themes of choice and consequence."', 'source_id': 'chunk-91572b3cd42786ba4cb2f180ca25cbf4chunk-02baee20cc9463dbe08170a8e1043e32'} -2024-10-30 05:40:44,341 - lightrag - INFO - get_node:query:MATCH (n:`THE PAST`) RETURN n:result:"The Past reflects on Scrooge\'s earlier life choices and experiences that shaped who he has become."', 'source_id': 'chunk-91572b3cd42786ba4cb2f180ca25cbf4'}> -2024-10-30 05:40:44,479 - lightrag - INFO - _do_upsert:query: - MERGE (n:`THE PAST`) - SET n += $properties - RETURN n - :result:{'entity_type': '"CONCEPT"', 'description': '"The Past is a concept that reflects Scrooge\'s memories and previous actions that influence his current state and future decisions.""The Past reflects on Scrooge\'s earlier life choices and experiences that shaped who he has become.""The Past reflects on Scrooge\'s earlier life choices and experiences that shaped who he has become."', 'source_id': 'chunk-91572b3cd42786ba4cb2f180ca25cbf4'} -2024-10-30 05:40:44,614 - lightrag - INFO - get_node:query:MATCH (n:`THE PRESENT`) RETURN n:result:"The Present represents the current moment in Scrooge\'s life that he must recognize and change to achieve redemption."', 'source_id': 'chunk-91572b3cd42786ba4cb2f180ca25cbf4'}> -2024-10-30 05:40:44,751 - lightrag - INFO - _do_upsert:query: - MERGE (n:`THE PRESENT`) - SET n += $properties - RETURN n - :result:{'entity_type': '"CONCEPT"', 'description': '"The Present emphasizes the importance of living in the moment and embracing current opportunities for change.""The Present emphasizes the importance of living in the moment and embracing current opportunities for change.""The Present represents the current moment in Scrooge\'s life that he must recognize and change to achieve redemption."', 'source_id': 'chunk-91572b3cd42786ba4cb2f180ca25cbf4'} -2024-10-30 05:40:44,884 - lightrag - INFO - get_node:query:MATCH (n:`THE POULTERER'S`) RETURN n:result:"The Poulterer\'s is a shop where Scrooge intends to buy a turkey for the Cratchit family."', 'source_id': 'chunk-90b95db5c53e4364a6bee36b7aa4d70f'}> -2024-10-30 05:40:45,022 - lightrag - INFO - _do_upsert:query: - MERGE (n:`THE POULTERER'S`) - SET n += $properties - RETURN n - :result:{'entity_type': '"ORGANIZATION"', 'description': '"The Poulterer\'s is a shop mentioned by Scrooge, relevant in the context of his generous actions towards the Cratchit family.""The Poulterer\'s is a shop mentioned by Scrooge, relevant in the context of his generous actions towards the Cratchit family.""The Poulterer\'s is a shop where Scrooge intends to buy a turkey for the Cratchit family."', 'source_id': 'chunk-90b95db5c53e4364a6bee36b7aa4d70f'} -2024-10-30 05:40:45,157 - lightrag - INFO - get_node:query:MATCH (n:`THE SPIRITS`) RETURN n:result:"The Spirits represent the past, present, and future in Scrooge\'s life, guiding him toward redemption and self-reflection.""The Spirits represent the forces that guide Scrooge towards his transformation and are instrumental in his journey of redemption."', 'source_id': 'chunk-90b95db5c53e4364a6bee36b7aa4d70fchunk-cb661c37436355ccec2769b1d0350c5f'}> -2024-10-30 05:40:45,295 - lightrag - INFO - _do_upsert:query: - MERGE (n:`THE SPIRITS`) - SET n += $properties - RETURN n - :result:{'entity_type': '"CONCEPT"', 'description': '"The Spirits collectively represent the supernatural forces that seek to guide and teach Scrooge about the impact of his life choices.""The Spirits represent the past, present, and future in Scrooge\'s life, guiding him toward redemption and self-reflection.""The Spirits represent the forces that guide Scrooge towards his transformation and are instrumental in his journey of redemption.""The Spirits represent the forces that guide Scrooge towards his transformation and are instrumental in his journey of redemption."', 'source_id': 'chunk-90b95db5c53e4364a6bee36b7aa4d70fchunk-cb661c37436355ccec2769b1d0350c5f'} -2024-10-30 05:40:45,438 - lightrag - INFO - get_node:query:MATCH (n:`THE GHOST OF CHRISTMAS PRESENT`) RETURN n:result:"The Ghost of Christmas Present is a supernatural being that shows Scrooge the true spirit of Christmas, including kindness towards the poor.""The Ghost of Christmas Present signifies abundance and the spirit of joy that Scrooge is encouraged to embrace.""The Ghost of Christmas Present is one of the spirits that help Scrooge understand the importance of generosity and compassion during the festive season."', 'source_id': 'chunk-90b95db5c53e4364a6bee36b7aa4d70fchunk-b0f459f5af1c3a5e0b92cbe4ee48b77bchunk-43c9bee23adfa77aa9dedd22401bba7d'}> -2024-10-30 05:40:45,577 - lightrag - INFO - _do_upsert:query: - MERGE (n:`THE GHOST OF CHRISTMAS PRESENT`) - SET n += $properties - RETURN n - :result:{'entity_type': '"PERSON"', 'description': '"The Ghost of Christmas Present is a spirit that guides Scrooge through his memories and the joy of the present Christmas celebration.""The Ghost of Christmas Present is a supernatural being that shows Scrooge the true spirit of Christmas, including kindness towards the poor.""The Ghost of Christmas Present signifies abundance and the spirit of joy that Scrooge is encouraged to embrace.""The Ghost of Christmas Present is one of the spirits that help Scrooge understand the importance of generosity and compassion during the festive season.""The Ghost of Christmas Present is one of the spirits that help Scrooge understand the importance of generosity and compassion during the festive season."', 'source_id': 'chunk-90b95db5c53e4364a6bee36b7aa4d70fchunk-43c9bee23adfa77aa9dedd22401bba7dchunk-b0f459f5af1c3a5e0b92cbe4ee48b77b'} -2024-10-30 05:40:45,713 - lightrag - INFO - get_node:query:MATCH (n:`THE CHRISTMAS DINNER`) RETURN n:result: -2024-10-30 05:40:45,850 - lightrag - INFO - _do_upsert:query: - MERGE (n:`THE CHRISTMAS DINNER`) - SET n += $properties - RETURN n - :result:{'entity_type': '"EVENT"', 'description': '"The Christmas Dinner signifies the gathering of the Cratchit family, highlighting themes of togetherness and the warmth of family during the holiday season."', 'source_id': 'chunk-90b95db5c53e4364a6bee36b7aa4d70f'} -2024-10-30 05:40:45,982 - lightrag - INFO - get_node:query:MATCH (n:`THE STREET`) RETURN n:result:"The Street is where Mr. Scrooge\'s Nephew encounters Bob Cratchit, facilitating a significant moment of kindness in the narrative.""The Street represents the setting where Scrooge interacts with various characters and experiences joy, emphasizing the festive atmosphere."', 'source_id': 'chunk-90b95db5c53e4364a6bee36b7aa4d70fchunk-8f738cb25d60a7dab782162d9d0a25edchunk-1d4b58de5429cd1261370c231c8673e8'}> -2024-10-30 05:40:46,120 - lightrag - INFO - _do_upsert:query: - MERGE (n:`THE STREET`) - SET n += $properties - RETURN n - :result:{'entity_type': '"GEO"', 'description': '"The Street is the setting where Scrooge interacts with the boy and demonstrates his newfound generosity after his transformation.""The Street is the setting where Scrooge interacts with the boy and demonstrates his newfound generosity after his transformation.""The Street is where Mr. Scrooge\'s Nephew encounters Bob Cratchit, facilitating a significant moment of kindness in the narrative.""The Street represents the setting where Scrooge interacts with various characters and experiences joy, emphasizing the festive atmosphere.""The Street represents the setting where Scrooge interacts with various characters and experiences joy, emphasizing the festive atmosphere."', 'source_id': 'chunk-90b95db5c53e4364a6bee36b7aa4d70fchunk-8f738cb25d60a7dab782162d9d0a25edchunk-1d4b58de5429cd1261370c231c8673e8'} -2024-10-30 05:40:46,258 - lightrag - INFO - get_node:query:MATCH (n:`THE BOY`) RETURN n:result:"The Boy is a young messenger who interacts with Scrooge during his purchase of the turkey.""The Boy represents innocence and curiosity, serving as a catalyst for Scrooge\'s generous act by purchasing the turkey."', 'source_id': 'chunk-90b95db5c53e4364a6bee36b7aa4d70fchunk-8bc1edd983869352d14cf0886a9175a7chunk-8f738cb25d60a7dab782162d9d0a25ed'}> -2024-10-30 05:40:46,397 - lightrag - INFO - _do_upsert:query: - MERGE (n:`THE BOY`) - SET n += $properties - RETURN n - :result:{'entity_type': '"PERSON"', 'description': '"The Boy is a character mentioned briefly, who tries to hide behind another girl, indicating shyness among the festive crowd.""The Boy is a young messenger who interacts with Scrooge during his purchase of the turkey.""The Boy represents innocence and curiosity, serving as a catalyst for Scrooge\'s generous act by purchasing the turkey.""The Boy represents innocence and curiosity, serving as a catalyst for Scrooge\'s generous act by purchasing the turkey."', 'source_id': 'chunk-90b95db5c53e4364a6bee36b7aa4d70fchunk-8f738cb25d60a7dab782162d9d0a25edchunk-8bc1edd983869352d14cf0886a9175a7'} -2024-10-30 05:40:46,535 - lightrag - INFO - get_node:query:MATCH (n:`THE TURKEY`) RETURN n:result:"The Turkey represents a key symbol of generosity and festivity during Christmas, as Scrooge purchases it to spread joy.""The Turkey symbolizes the generosity and festive spirit that Scrooge embraces following his transformation."', 'source_id': 'chunk-90b95db5c53e4364a6bee36b7aa4d70fchunk-8f738cb25d60a7dab782162d9d0a25ed'}> -2024-10-30 05:40:46,672 - lightrag - INFO - _do_upsert:query: - MERGE (n:`THE TURKEY`) - SET n += $properties - RETURN n - :result:{'entity_type': '"EVENT"', 'description': '"The Turkey is a large bird that Scrooge has humorously commented on sending to Bob, symbolizing generosity and Christmas spirit.""The Turkey represents a key symbol of generosity and festivity during Christmas, as Scrooge purchases it to spread joy.""The Turkey symbolizes the generosity and festive spirit that Scrooge embraces following his transformation.""The Turkey represents a key symbol of generosity and festivity during Christmas, as Scrooge purchases it to spread joy.""The Turkey symbolizes the generosity and festive spirit that Scrooge embraces following his transformation."', 'source_id': 'chunk-90b95db5c53e4364a6bee36b7aa4d70fchunk-8f738cb25d60a7dab782162d9d0a25ed'} -2024-10-30 05:40:46,807 - lightrag - INFO - get_node:query:MATCH (n:`THE OLD GENTLEMAN`) RETURN n:result: -2024-10-30 05:40:46,943 - lightrag - INFO - _do_upsert:query: - MERGE (n:`THE OLD GENTLEMAN`) - SET n += $properties - RETURN n - :result:{'entity_type': '"PERSON"', 'description': '"The Old Gentleman is a character with whom Scrooge interacts, showcasing the themes of kindness and forgiveness."', 'source_id': 'chunk-8f738cb25d60a7dab782162d9d0a25ed'} -2024-10-30 05:40:47,074 - lightrag - INFO - get_node:query:MATCH (n:`BOB`) RETURN n:result:"Bob is referenced humorously by Scrooge in the context of a joke regarding a large turkey.""Bob is likely referenced as a character who may receive the turkey sent by Scrooge, highlighting the theme of generosity."', 'source_id': 'chunk-91572b3cd42786ba4cb2f180ca25cbf4chunk-8f738cb25d60a7dab782162d9d0a25ed'}> -2024-10-30 05:40:47,217 - lightrag - INFO - _do_upsert:query: - MERGE (n:`BOB`) - SET n += $properties - RETURN n - :result:{'entity_type': '"PERSON"', 'description': '"Bob is a character who reflects on the importance of unity and remembering Tiny Tim among his family.""Bob is referenced humorously by Scrooge in the context of a joke regarding a large turkey.""Bob is likely referenced as a character who may receive the turkey sent by Scrooge, highlighting the theme of generosity.""Bob is likely referenced as a character who may receive the turkey sent by Scrooge, highlighting the theme of generosity."', 'source_id': 'chunk-8f738cb25d60a7dab782162d9d0a25edchunk-91572b3cd42786ba4cb2f180ca25cbf4'} -2024-10-30 05:40:47,351 - lightrag - INFO - get_node:query:MATCH (n:`THE CAB`) RETURN n:result: -2024-10-30 05:40:47,592 - lightrag - INFO - _do_upsert:query: - MERGE (n:`THE CAB`) - SET n += $properties - RETURN n - :result:{'entity_type': '"EVENT"', 'description': '"The Cab is an event associated with transporting the turkey, illustrating the lengths to which Scrooge is willing to go to share joy."', 'source_id': 'chunk-8f738cb25d60a7dab782162d9d0a25ed'} -2024-10-30 05:40:47,725 - lightrag - INFO - get_node:query:MATCH (n:`THE KITCHEN`) RETURN n:result: -2024-10-30 05:40:47,862 - lightrag - INFO - _do_upsert:query: - MERGE (n:`THE KITCHEN`) - SET n += $properties - RETURN n - :result:{'entity_type': '"GEO"', 'description': '"The Kitchen is a location that Scrooge looks into, symbolizing warmth, family, and the spirit of hospitality during the holiday season."', 'source_id': 'chunk-8f738cb25d60a7dab782162d9d0a25ed'} -2024-10-30 05:40:47,996 - lightrag - INFO - get_node:query:MATCH (n:`MISTRESS`) RETURN n:result: -2024-10-30 05:40:48,131 - lightrag - INFO - _do_upsert:query: - MERGE (n:`MISTRESS`) - SET n += $properties - RETURN n - :result:{'entity_type': '"PERSON"', 'description': '"Mistress is referenced in relation to Fred, indicating the presence of family dynamics during the Christmas celebration."', 'source_id': 'chunk-8f738cb25d60a7dab782162d9d0a25ed'} -2024-10-30 05:40:48,264 - lightrag - INFO - get_node:query:MATCH (n:`THE FAMILY`) RETURN n:result: -2024-10-30 05:40:48,403 - lightrag - INFO - _do_upsert:query: - MERGE (n:`THE FAMILY`) - SET n += $properties - RETURN n - :result:{'entity_type': '"ORGANIZATION"', 'description': '"The Family includes Bob Cratchit and his loved ones, who represent themes of togetherness and support during Christmas."', 'source_id': 'chunk-94bea83e7153fc2064aa382b494936a1'} -2024-10-30 05:40:48,534 - lightrag - INFO - get_node:query:MATCH (n:`THE TANK`) RETURN n:result:"The Tank refers to Bob Cratchit\'s work area, where he encounters Scrooge and faces the consequences of arriving late."', 'source_id': 'chunk-94bea83e7153fc2064aa382b494936a1'}> -2024-10-30 05:40:48,672 - lightrag - INFO - _do_upsert:query: - MERGE (n:`THE TANK`) - SET n += $properties - RETURN n - :result:{'entity_type': '"LOCATION"', 'description': '"The Tank is the workplace setting where Bob Cratchit works under Scrooge, highlighting the power dynamics in their relationship.""The Tank is the workplace setting where Bob Cratchit works under Scrooge, highlighting the power dynamics in their relationship.""The Tank refers to Bob Cratchit\'s work area, where he encounters Scrooge and faces the consequences of arriving late."', 'source_id': 'chunk-94bea83e7153fc2064aa382b494936a1'} -2024-10-30 05:40:48,807 - lightrag - INFO - get_node:query:MATCH (n:`SMOKING BISHOP`) RETURN n:result: -2024-10-30 05:40:48,945 - lightrag - INFO - _do_upsert:query: - MERGE (n:`SMOKING BISHOP`) - SET n += $properties - RETURN n - :result:{'entity_type': '"CONCEPT"', 'description': '"Smoking Bishop is a traditional Christmas drink mentioned in the context of Scrooge and Bob\'s plans to celebrate together, symbolizing festive cheer."', 'source_id': 'chunk-94bea83e7153fc2064aa382b494936a1'} -2024-10-30 05:40:49,077 - lightrag - INFO - get_node:query:MATCH (n:`THE FOUNDATION`) RETURN n:result:"The Foundation, referred to as the Project Gutenberg Literary Archive Foundation, owns the compilation copyright of Project Gutenberg\'s collection."', 'source_id': 'chunk-194cd9680f4967f48bea89678f7ece21'}> -2024-10-30 05:40:49,216 - lightrag - INFO - _do_upsert:query: - MERGE (n:`THE FOUNDATION`) - SET n += $properties - RETURN n - :result:{'entity_type': '"ORGANIZATION"', 'description': '"The Foundation, also known as the Project Gutenberg Literary Archive Foundation, owns the compilation copyright in the collection of Project Gutenberg electronic works.""The Foundation, also known as the Project Gutenberg Literary Archive Foundation, owns the compilation copyright in the collection of Project Gutenberg electronic works.""The Foundation, referred to as the Project Gutenberg Literary Archive Foundation, owns the compilation copyright of Project Gutenberg\'s collection."', 'source_id': 'chunk-194cd9680f4967f48bea89678f7ece21'} -2024-10-30 05:40:49,355 - lightrag - INFO - get_node:query:MATCH (n:`TRANSCRIBER'S NOTE`) RETURN n:result:"Transcriber\'s Note refers to the added content by the transcriber, indicating additional information or context regarding the work."', 'source_id': 'chunk-194cd9680f4967f48bea89678f7ece21'}> -2024-10-30 05:40:49,493 - lightrag - INFO - _do_upsert:query: - MERGE (n:`TRANSCRIBER'S NOTE`) - SET n += $properties - RETURN n - :result:{'entity_type': '"EVENT"', 'description': '"The Transcriber\'s note indicates additional information provided by the transcriber of the Project Gutenberg eBook.""The Transcriber\'s note indicates additional information provided by the transcriber of the Project Gutenberg eBook.""Transcriber\'s Note refers to the added content by the transcriber, indicating additional information or context regarding the work."', 'source_id': 'chunk-194cd9680f4967f48bea89678f7ece21'} -2024-10-30 05:40:49,632 - lightrag - INFO - get_node:query:MATCH (n:`UNITED STATES COPYRIGHT`) RETURN n:result: -2024-10-30 05:40:49,769 - lightrag - INFO - _do_upsert:query: - MERGE (n:`UNITED STATES COPYRIGHT`) - SET n += $properties - RETURN n - :result:{'entity_type': '"CONCEPT"', 'description': '"United States copyright refers to the laws governing the protection of intellectual property, which influence the distribution of works within the U.S."', 'source_id': 'chunk-194cd9680f4967f48bea89678f7ece21'} -2024-10-30 05:40:49,905 - lightrag - INFO - get_node:query:MATCH (n:`GENERAL TERMS OF USE`) RETURN n:result:"The General Terms of Use outlines regulations for using and distributing Project Gutenberg works."', 'source_id': 'chunk-194cd9680f4967f48bea89678f7ece21'}> -2024-10-30 05:40:50,043 - lightrag - INFO - _do_upsert:query: - MERGE (n:`GENERAL TERMS OF USE`) - SET n += $properties - RETURN n - :result:{'entity_type': '"CONCEPT"', 'description': '"General Terms of Use details the overall framework and guidelines for using Project Gutenberg\'s works and services.""The General Terms of Use outlines regulations for using and distributing Project Gutenberg works.""The General Terms of Use outlines regulations for using and distributing Project Gutenberg works."', 'source_id': 'chunk-194cd9680f4967f48bea89678f7ece21'} -2024-10-30 05:40:50,179 - lightrag - INFO - get_node:query:MATCH (n:`ELECTRONIC WORKS`) RETURN n:result: -2024-10-30 05:40:50,315 - lightrag - INFO - _do_upsert:query: - MERGE (n:`ELECTRONIC WORKS`) - SET n += $properties - RETURN n - :result:{'entity_type': '"CONCEPT"', 'description': '"Electronic works refer to digital versions of literary texts that can be freely accessed and shared without restriction."', 'source_id': 'chunk-194cd9680f4967f48bea89678f7ece21'} -2024-10-30 05:40:50,454 - lightrag - INFO - get_node:query:MATCH (n:`TRADEMARK LICENSE`) RETURN n:result:"Trademark license describes the regulations for using the Project Gutenberg trademark and ensures its protection in distributions."', 'source_id': 'chunk-194cd9680f4967f48bea89678f7ece21'}> -2024-10-30 05:40:50,594 - lightrag - INFO - _do_upsert:query: - MERGE (n:`TRADEMARK LICENSE`) - SET n += $properties - RETURN n - :result:{'entity_type': '"CONCEPT"', 'description': '"The trademark license governs the usage of the Project Gutenberg trademark, ensuring its protection during distribution.""The trademark license governs the usage of the Project Gutenberg trademark, ensuring its protection during distribution.""Trademark license describes the regulations for using the Project Gutenberg trademark and ensures its protection in distributions."', 'source_id': 'chunk-194cd9680f4967f48bea89678f7ece21'} -2024-10-30 05:40:50,727 - lightrag - INFO - get_node:query:MATCH (n:`COPYRIGHT ROYALTIES`) RETURN n:result: -2024-10-30 05:40:50,865 - lightrag - INFO - _do_upsert:query: - MERGE (n:`COPYRIGHT ROYALTIES`) - SET n += $properties - RETURN n - :result:{'entity_type': '"CONCEPT"', 'description': '"Copyright royalties refer to the fees owed for the use of copyrighted material, which generally do not apply to works in the public domain."', 'source_id': 'chunk-194cd9680f4967f48bea89678f7ece21'} -2024-10-30 05:40:50,998 - lightrag - INFO - get_node:query:MATCH (n:`DERIVATIVE WORKS`) RETURN n:result:"Derivative works refer to adaptations or creations based on original texts, allowed under certain conditions set by Project Gutenberg."', 'source_id': 'chunk-194cd9680f4967f48bea89678f7ece21'}> -2024-10-30 05:40:51,134 - lightrag - INFO - _do_upsert:query: - MERGE (n:`DERIVATIVE WORKS`) - SET n += $properties - RETURN n - :result:{'entity_type': '"CONCEPT"', 'description': '"Derivative works are adaptations or modifications of original works that may be created and shared under specific conditions.""Derivative works are adaptations or modifications of original works that may be created and shared under specific conditions.""Derivative works refer to adaptations or creations based on original texts, allowed under certain conditions set by Project Gutenberg."', 'source_id': 'chunk-194cd9680f4967f48bea89678f7ece21'} -2024-10-30 05:40:51,274 - lightrag - INFO - get_node:query:MATCH (n:`NON-COPYRIGHTED WORKS`) RETURN n:result: -2024-10-30 05:40:51,411 - lightrag - INFO - _do_upsert:query: - MERGE (n:`NON-COPYRIGHTED WORKS`) - SET n += $properties - RETURN n - :result:{'entity_type': '"CONCEPT"', 'description': '"Non-copyrighted works refer to literary pieces that are not protected by copyright and can be freely used by anyone."', 'source_id': 'chunk-194cd9680f4967f48bea89678f7ece21'} -2024-10-30 05:40:51,552 - lightrag - INFO - get_node:query:MATCH (n:`PROJECT GUTENBERG LITERARY ARCHIVE FOUNDATION`) RETURN n:result:"The Project Gutenberg Literary Archive Foundation is a non-profit organization established to ensure the free distribution of electronic works and maintain the Project Gutenberg™ collection for future generations.""The Project Gutenberg Literary Archive Foundation manages the Project Gutenberg trademark and oversees rights and licensing for the organization.""The Project Gutenberg Literary Archive Foundation is a non-profit educational corporation dedicated to increasing the availability of public domain and licensed works in machine-readable format.""The Project Gutenberg Literary Archive Foundation is a non-profit institution established to secure the future of Project Gutenberg\'s activities and contributions.""The Project Gutenberg Literary Archive Foundation is the organization that manages the Project Gutenberg trademark and oversees royalty payments and other related activities."', 'source_id': 'chunk-af4ae173c561e4594c5aea96198cce9dchunk-85f77f5e3a9aba01133555a2d20e2fd8chunk-c51b3dc560b408cce12cdfe5c9c94f57'}> -2024-10-30 05:40:51,689 - lightrag - INFO - _do_upsert:query: - MERGE (n:`PROJECT GUTENBERG LITERARY ARCHIVE FOUNDATION`) - SET n += $properties - RETURN n - :result:{'entity_type': '"ORGANIZATION"', 'description': '"The Project Gutenberg Literary Archive Foundation is a 501(c)(3) non-profit educational corporation dedicated to increasing access to public domain and licensed works that can be freely distributed in machine-readable form.""The Project Gutenberg Literary Archive Foundation is a non-profit organization established to ensure the free distribution of electronic works and maintain the Project Gutenberg™ collection for future generations.""The Project Gutenberg Literary Archive Foundation manages the Project Gutenberg trademark and oversees rights and licensing for the organization.""The Project Gutenberg Literary Archive Foundation is a non-profit educational corporation dedicated to increasing the availability of public domain and licensed works in machine-readable format.""The Project Gutenberg Literary Archive Foundation is a non-profit institution established to secure the future of Project Gutenberg\'s activities and contributions.""The Project Gutenberg Literary Archive Foundation is the organization that manages the Project Gutenberg trademark and oversees royalty payments and other related activities.""The Project Gutenberg Literary Archive Foundation is a non-profit educational corporation dedicated to increasing the availability of public domain and licensed works in machine-readable format.""The Project Gutenberg Literary Archive Foundation is a non-profit institution established to secure the future of Project Gutenberg\'s activities and contributions.""The Project Gutenberg Literary Archive Foundation is the organization that manages the Project Gutenberg trademark and oversees royalty payments and other related activities."', 'source_id': 'chunk-c51b3dc560b408cce12cdfe5c9c94f57chunk-85f77f5e3a9aba01133555a2d20e2fd8chunk-af4ae173c561e4594c5aea96198cce9d'} -2024-10-30 05:40:51,826 - lightrag - INFO - get_node:query:MATCH (n:`U.S. COPYRIGHT LAW`) RETURN n:result:"U.S. Copyright Law is the legal framework that Project Gutenberg navigates in its efforts to provide access to electronic works, ensuring compliance with copyright protections.""U.S. Copyright Law refers to the legal framework governing copyright protection in the United States, which impacts the distribution and usage of literary works and other creative content.""U.S. copyright law governs the protection of intellectual property in the United States, impacting how works can be distributed through Project Gutenberg™."', 'source_id': 'chunk-af4ae173c561e4594c5aea96198cce9dchunk-c51b3dc560b408cce12cdfe5c9c94f57'}> -2024-10-30 05:40:51,966 - lightrag - INFO - _do_upsert:query: - MERGE (n:`U.S. COPYRIGHT LAW`) - SET n += $properties - RETURN n - :result:{'entity_type': '"CONCEPT"', 'description': '"U.S. Copyright Law governs the usage, distribution, and copyright status of literary works in the United States, affecting how Project Gutenberg operates.""U.S. Copyright Law governs the usage, distribution, and copyright status of literary works in the United States, affecting how Project Gutenberg operates.""U.S. Copyright Law is the legal framework that Project Gutenberg navigates in its efforts to provide access to electronic works, ensuring compliance with copyright protections.""U.S. Copyright Law refers to the legal framework governing copyright protection in the United States, which impacts the distribution and usage of literary works and other creative content.""U.S. copyright law governs the protection of intellectual property in the United States, impacting how works can be distributed through Project Gutenberg™.""U.S. Copyright Law is the legal framework that Project Gutenberg navigates in its efforts to provide access to electronic works, ensuring compliance with copyright protections."', 'source_id': 'chunk-c51b3dc560b408cce12cdfe5c9c94f57chunk-af4ae173c561e4594c5aea96198cce9d'} -2024-10-30 05:40:52,101 - lightrag - INFO - get_node:query:MATCH (n:`EBOOK`) RETURN n:result: -2024-10-30 05:40:52,238 - lightrag - INFO - _do_upsert:query: - MERGE (n:`EBOOK`) - SET n += $properties - RETURN n - :result:{'entity_type': '"EVENT"', 'description': '"An eBook refers to an electronic version of a book that can be accessed, displayed, or distributed according to the licensing terms of Project Gutenberg."', 'source_id': 'chunk-af4ae173c561e4594c5aea96198cce9d'} -2024-10-30 05:40:52,375 - lightrag - INFO - get_node:query:MATCH (n:`UNITED STATES`) RETURN n:result:"The United States is the primary geographic location referenced in the context of copyright laws and distribution terms for Project Gutenberg\'s eBooks."', 'source_id': 'chunk-194cd9680f4967f48bea89678f7ece21chunk-af4ae173c561e4594c5aea96198cce9d'}> -2024-10-30 05:40:52,513 - lightrag - INFO - _do_upsert:query: - MERGE (n:`UNITED STATES`) - SET n += $properties - RETURN n - :result:{'entity_type': '"GEO"', 'description': '"The United States is a geographical location with specific copyright laws affecting the distribution of electronic works.""The United States is the primary geographic location referenced in the context of copyright laws and distribution terms for Project Gutenberg\'s eBooks.""The United States is the primary geographic location referenced in the context of copyright laws and distribution terms for Project Gutenberg\'s eBooks."', 'source_id': 'chunk-af4ae173c561e4594c5aea96198cce9dchunk-194cd9680f4967f48bea89678f7ece21'} -2024-10-30 05:40:52,648 - lightrag - INFO - get_node:query:MATCH (n:`ROYALTY PAYMENTS`) RETURN n:result: -2024-10-30 05:40:52,783 - lightrag - INFO - _do_upsert:query: - MERGE (n:`ROYALTY PAYMENTS`) - SET n += $properties - RETURN n - :result:{'entity_type': '"EVENT"', 'description': '"Royalty Payments refer to the financial compensations required by Project Gutenberg to be paid to the trademark owner based on gross profits derived from certain uses of their works."', 'source_id': 'chunk-af4ae173c561e4594c5aea96198cce9d'} -2024-10-30 05:40:52,913 - lightrag - INFO - get_node:query:MATCH (n:`COPYRIGHT HOLDER`) RETURN n:result: -2024-10-30 05:40:53,047 - lightrag - INFO - _do_upsert:query: - MERGE (n:`COPYRIGHT HOLDER`) - SET n += $properties - RETURN n - :result:{'entity_type': '"PERSON"', 'description': '"A Copyright Holder is an individual or entity that owns the rights to a work, which may allow them to grant permission for its use according to the rules outlined by Project Gutenberg."', 'source_id': 'chunk-af4ae173c561e4594c5aea96198cce9d'} -2024-10-30 05:40:53,180 - lightrag - INFO - get_node:query:MATCH (n:`PARAGRAPHS 1.E.1 THROUGH 1.E.9`) RETURN n:result: -2024-10-30 05:40:53,317 - lightrag - INFO - _do_upsert:query: - MERGE (n:`PARAGRAPHS 1.E.1 THROUGH 1.E.9`) - SET n += $properties - RETURN n - :result:{'entity_type': '"EVENT"', 'description': '"Paragraphs 1.E.1 through 1.E.9 detail the specific requirements and conditions established by Project Gutenberg for the use and distribution of its works."', 'source_id': 'chunk-af4ae173c561e4594c5aea96198cce9d'} -2024-10-30 05:40:53,453 - lightrag - INFO - get_node:query:MATCH (n:`PLAIN VANILLA ASCII`) RETURN n:result: -2024-10-30 05:40:53,591 - lightrag - INFO - _do_upsert:query: - MERGE (n:`PLAIN VANILLA ASCII`) - SET n += $properties - RETURN n - :result:{'entity_type': '"TECHNOLOGY"', 'description': '"Plain Vanilla ASCII is a basic text format that Project Gutenberg uses for its electronic works, ensuring accessibility and compatibility with various systems."', 'source_id': 'chunk-af4ae173c561e4594c5aea96198cce9d'} -2024-10-30 05:40:53,727 - lightrag - INFO - get_node:query:MATCH (n:`PERMISSION`) RETURN n:result:"Permission refers to the authorization required from Project Gutenberg for uses that fall outside the standard licensing agreement for its works."', 'source_id': 'chunk-af4ae173c561e4594c5aea96198cce9d'}> -2024-10-30 05:40:53,863 - lightrag - INFO - _do_upsert:query: - MERGE (n:`PERMISSION`) - SET n += $properties - RETURN n - :result:{'entity_type': '"EVENT"', 'description': '"Permission is the consent required to use or distribute Project Gutenberg works under terms that differ from the established Project Gutenberg License.""Permission refers to the authorization required from Project Gutenberg for uses that fall outside the standard licensing agreement for its works.""Permission refers to the authorization required from Project Gutenberg for uses that fall outside the standard licensing agreement for its works."', 'source_id': 'chunk-af4ae173c561e4594c5aea96198cce9d'} -2024-10-30 05:40:54,004 - lightrag - INFO - 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It serves as both a supernatural and emotional guide, encouraging Scrooge to witness joyful moments and the resilience of people during Christmas, thus profoundly influencing his perspective on life.\n\nThe Spirit is associated with the Ghost of Christmas Present and the Ghost of Christmas Past, symbolizing the ideas of reflection, memory, and moral guidance. It prompts Scrooge to engage deeply with his past, urging him to recognize the consequences of his actions and the significance of compassion and community in life. Furthermore, The Spirit acts as a guiding force that helps Scrooge understand the value of happiness and the importance of generosity, particularly during the festive season.\n\nThroughout the narrative, The Spirit\'s presence significantly alters the mood of Christmas, promoting an atmosphere of cheer and mirth as it guides Scrooge through various scenarios. It invokes critical reflections on existential queries, ultimately playing a vital role in Scrooge\'s transformation, pushing him towards meaningful change and a re-evaluation of his life choices. 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He is depicted as a struggling yet loving family man, whose household is blessed by the Spirit of Christmas. Despite his low wages, Cratchit exhibits warmth and joy at home, particularly during the Christmas season, where he strives to maintain a positive atmosphere amidst financial hardships.\n\nAs the father of Tiny Tim and head of the Cratchit family, Bob exemplifies deep familial love and concern. He is characterized by his kindness and emotional depth, showing dedication to caring for his children and addressing Tiny Tim\'s well-being. Bob is a mild-mannered character who expresses happiness and appreciation during family celebrations, capturing the essence of duty and love.\n\nCratchit\'s arrival late to work after Christmas highlights his trepidation toward Scrooge, yet it also reflects Scrooge\'s newfound generosity towards him. This generosity serves as a stark contrast to Cratchit\'s warm and positive demeanor, which remains consistent despite his challenges. The Cratchit household is filled with a warm atmosphere, where Cratchit\'s joy during their Christmas dinner stands in contrast to Scrooge\'s initial miserly attitude.\n\nIn summary, Bob Cratchit is not only a devoted father and husband but also a representation of resilience, hope, and the importance of family. He embodies the spirit of joy amidst adversity, making him a compelling and heartwarming character within the narrative of "A Christmas Carol."', 'source_id': 'chunk-94bea83e7153fc2064aa382b494936a1chunk-83ac129dc9b56f84c46760d153d68e93chunk-91572b3cd42786ba4cb2f180ca25cbf4chunk-9e3921da66da5d761ab73cd849af6c43chunk-503f0bfa5453467c7c61d160a3540ecachunk-19d72c57ae3408758b18d2568e86dc6bchunk-1d4b58de5429cd1261370c231c8673e8chunk-b0f459f5af1c3a5e0b92cbe4ee48b77bchunk-d9aac3484185ac66045df92214d245d5chunk-90b95db5c53e4364a6bee36b7aa4d70fchunk-7e2e7ebcc19a53b399dc03aded4743e7'} -2024-10-30 05:41:05,548 - lightrag - INFO - _do_upsert:query: - MERGE (n:`THE GHOST`) - SET n += $properties - RETURN n - :result:{'entity_type': '"EVENT"', 'description': '"The Ghost" refers to a spectral manifestation of Jacob Marley, who appears to communicate a crucial message to Ebenezer Scrooge regarding the spiritual consequences of his life choices. This supernatural entity serves multiple roles, including guiding Scrooge through reflections on his past and evoking feelings of realization and remorse about his behavior. The Ghost represents a crucial figure in Scrooge\'s journey toward redemption, highlighting the importance of human virtue and kindness, and warning him about the dire repercussions of neglecting these values throughout his life.\n\nDescribed as a strange figure possessing qualities both of a child and an old man, The Ghost embodies the supernatural intervention in Scrooge\'s life. It facilitates his transformation by revealing lessons about kindness, death, and the emotional repercussions of one’s actions. The Ghost shows Scrooge various scenes from his past and the joys of family, emphasizing the significance of Christmas and serving as a catalyst for self-reflection.\n\nAdditionally, The Ghost instills a sense of dread in Scrooge while symbolizing the theme of redemption. This spectral figure conveys an important message regarding the impending visits from three spirits and helps Scrooge confront and come to terms with his past. Overall, The Ghost encapsulates themes of change, redemption, and moral lessons, acting as a guiding presence that ultimately influences Scrooge\'s emotional state and paves the way for his ultimate redemption.', 'source_id': 'chunk-1aa50206d02ed89418f65f97c6441d1cchunk-83ac129dc9b56f84c46760d153d68e93chunk-cb661c37436355ccec2769b1d0350c5fchunk-9c43dac2fcd5b578242d907ea6f8fc7bchunk-c6c248858d1b13ab7ee9ca13c1aeed6bchunk-02baee20cc9463dbe08170a8e1043e32chunk-da2472b4ef2a535b62908f14d0fb0ca9chunk-54bdd22db1f84a965b5f4c06c9216d8dchunk-c7b10789a9cb0af6c553730b29bd9034chunk-359187e7571bda4b0b08b2e0b6581e52chunk-43c9bee23adfa77aa9dedd22401bba7dchunk-8590d9263cd2cd4fa583c432fc54e6c3chunk-e7637ff18c5ded77a68cce0a87883fad'} -2024-10-30 05:41:05,729 - lightrag - INFO - _do_upsert:query: - MERGE (n:`TINY TIM`) - SET n += $properties - RETURN n - :result:{'entity_type': '"PERSON"', 'description': 'Tiny Tim, whose full name is Tim Cratchit, is a significant character in Charles Dickens\' "A Christmas Carol," serving as the youngest son of Bob Cratchit. He is depicted as a frail child who embodies innocence, vulnerability, and hope, symbolizing resilience in the face of adversity. Despite his struggles with health—characterized by being a cripple—Tiny Tim maintains a joyful spirit and a positive attitude that brings joy to those around him.\n\nTiny Tim\'s character plays multiple essential roles within the narrative. He serves as a poignant reminder of the harsh realities of illness and poverty experienced by the Cratchit family, highlighting their struggles and evoking compassion from others, including Ebenezer Scrooge. His well-being is central to the family\'s emotional state, embodying their hopes for the future and the love that binds them together. Tiny Tim\'s presence is particularly impactful for Scrooge, illustrating how transformation and generosity can influence lives profoundly.\n\nIn addition to his role within the Cratchit family, Tiny Tim participates in festive celebrations, such as the Christmas toast, but remains acutely aware of his family\'s hardships. Cherished by his family, especially by his father, Bob Cratchit, Tiny Tim is often a focal point of love and concern, reinforcing the themes of family and togetherness. He represents innocence and goodness, leaving a lasting impression on both the characters within the story and the readers, ultimately embodying the spirit of Christmas and the possibility of hope and renewal.', 'source_id': 'chunk-94bea83e7153fc2064aa382b494936a1chunk-83ac129dc9b56f84c46760d153d68e93chunk-91572b3cd42786ba4cb2f180ca25cbf4chunk-9e3921da66da5d761ab73cd849af6c43chunk-19d72c57ae3408758b18d2568e86dc6bchunk-503f0bfa5453467c7c61d160a3540ecachunk-1d4b58de5429cd1261370c231c8673e8chunk-90b95db5c53e4364a6bee36b7aa4d70fchunk-7e2e7ebcc19a53b399dc03aded4743e7chunk-8f738cb25d60a7dab782162d9d0a25ed'} -2024-10-30 05:41:05,921 - lightrag - INFO - _do_upsert:query: - MERGE (n:`CHRISTMAS`) - SET n += $properties - RETURN n - :result:{'entity_type': '"EVENT"', 'description': 'Christmas is a significant and festive season that embodies themes of joy, love, generosity, and community, playing a crucial role in the narrative, particularly through the experiences of the Cratchit family and the character of Ebenezer Scrooge. It is depicted as a time for family togetherness, celebration, and emotional reflection. During this holiday, the Cratchit family experiences warmth, gratitude, and merriment, creating cherished memories despite their modest circumstances.\n\nIn stark contrast, Scrooge initially approaches Christmas with cynicism, dismissively referring to it as a "humbug" and rejecting the joy and goodwill that the season represents. His cold demeanor and disdain for the holiday stand in stark opposition to the spirit of generosity and community that prevails around him. Throughout the story, Christmas serves as the backdrop for Scrooge’s transformation, forcing him to confront his past and the relationships he has neglected, which becomes a critical aspect of his character development.\n\nThe narrative highlights Christmas as a time of joy and giving, emphasizing the importance of social responsibility and emotional connections within a community. It showcases joyful scenes of people celebrating, dancing, and engaging in festive activities, which starkly contrast with Scrooge\'s earlier solitude and disdain. By the end, Christmas symbolizes redemption and transformation for Scrooge, as he ultimately decides to embrace the holiday\'s spirit of goodwill, leaving behind his previous bitterness. Consequently, Christmas emerges as a pivotal element that reinforces the story\'s exploration of redemption, generosity, and the transformative power of love and community.', 'source_id': 'chunk-94bea83e7153fc2064aa382b494936a1chunk-74e2466de2f67fd710ef2f20c0a8d9e0chunk-90d5764e301321c087f5a8f78b73a145chunk-89777b838d5447c7bd1ec11282c4ee89chunk-da2472b4ef2a535b62908f14d0fb0ca9chunk-8590d9263cd2cd4fa583c432fc54e6c3chunk-e7637ff18c5ded77a68cce0a87883fadchunk-91614df5cb74cbe5e109a338a82041e9chunk-43c9bee23adfa77aa9dedd22401bba7dchunk-02baee20cc9463dbe08170a8e1043e32chunk-773d0df1dd25c356f7b771d780583e09chunk-5dac41b3f9eeaf794f0147400b1718cdchunk-503f0bfa5453467c7c61d160a3540ecachunk-91572b3cd42786ba4cb2f180ca25cbf4chunk-99b0ec7f7e006561352b5d65e849611dchunk-1d4b58de5429cd1261370c231c8673e8chunk-c6c248858d1b13ab7ee9ca13c1aeed6bchunk-54bdd22db1f84a965b5f4c06c9216d8dchunk-8f738cb25d60a7dab782162d9d0a25ed'} -2024-10-30 05:41:06,945 - lightrag - INFO - _do_upsert:query: - MERGE (n:`SCROOGE`) - SET n += $properties - RETURN n - :result:{'entity_type': '"PERSON"', 'description': "Scrooge is a central character in the narrative who undergoes a profound transformation, highlighted by his emotional turmoil and reflective journey. Initially depicted as a miserly, cold-hearted individual characterized by greed and a disdain for Christmas, Scrooge embodies the traits of a solitary figure, often referred to negatively as the “Ogre of the family” or a “tight-fisted old man.” His lack of compassion for others and reluctance to engage in charitable acts create a stark contrast to the growth he eventually experiences.\n\nThe turning point in Scrooge's journey begins with a haunting visit from the ghost of his former business partner, Jacob Marley, who warns him of the dire consequences of his actions. This encounter sets off a series of supernatural visits from three spirits that guide Scrooge through his past, present, and future. Through these reflections, Scrooge experiences horror, agitation, and regret as he contemplates the implications of his miserliness, recalling lonely moments from his childhood and decisions that fostered his pessimistic outlook on life.\n\nAs he interacts with the spirits, Scrooge witnesses both joy and hardship, particularly in relation to the Cratchit family and Tiny Tim, which ignites feelings of grief and a longing for connection. This emotional journey leads him to recognize his mortality and the impact of his life choices on others, sparking an internal struggle between his prior skepticism and a burgeoning capacity for empathy.\n\nBy the conclusion of the story, Scrooge has experienced a significant transformation. Emerging from his encounters with a newfound sense of joy and a commitment to kindness, he embraces the spirit of Christmas, striving to positively influence the lives of those around him, especially Bob Cratchit and his family. Scrooge’s evolution from a grumpy, indifferent man to one filled with goodwill encapsulates the narrative's themes of redemption, compassion, and the importance of community, demonstrating that change is possible and that love and generosity can triumph over isolation and greed.", 'source_id': 'chunk-94bea83e7153fc2064aa382b494936a1chunk-19d72c57ae3408758b18d2568e86dc6bchunk-d9aac3484185ac66045df92214d245d5chunk-b0f459f5af1c3a5e0b92cbe4ee48b77bchunk-74e2466de2f67fd710ef2f20c0a8d9e0chunk-90d5764e301321c087f5a8f78b73a145chunk-89777b838d5447c7bd1ec11282c4ee89chunk-da2472b4ef2a535b62908f14d0fb0ca9chunk-8590d9263cd2cd4fa583c432fc54e6c3chunk-e7637ff18c5ded77a68cce0a87883fadchunk-9c43dac2fcd5b578242d907ea6f8fc7bchunk-e1f29eeadc1d8ab46dc8a0bbd3c56b64chunk-91614df5cb74cbe5e109a338a82041e9chunk-90b95db5c53e4364a6bee36b7aa4d70fchunk-1aa50206d02ed89418f65f97c6441d1cchunk-43c9bee23adfa77aa9dedd22401bba7dchunk-02baee20cc9463dbe08170a8e1043e32chunk-f1a4fbcf1ed86864b9bfd5e8dba4c683chunk-773d0df1dd25c356f7b771d780583e09chunk-5dac41b3f9eeaf794f0147400b1718cdchunk-503f0bfa5453467c7c61d160a3540ecachunk-91572b3cd42786ba4cb2f180ca25cbf4chunk-cb661c37436355ccec2769b1d0350c5fchunk-b2f98bc7abb0c67d4c86055c7fd72218chunk-359187e7571bda4b0b08b2e0b6581e52chunk-99b0ec7f7e006561352b5d65e849611dchunk-8f738cb25d60a7dab782162d9d0a25edchunk-843b5b2f944c7413d9ca876e2e2f151fchunk-83ac129dc9b56f84c46760d153d68e93chunk-c6c248858d1b13ab7ee9ca13c1aeed6bchunk-54bdd22db1f84a965b5f4c06c9216d8dchunk-c7b10789a9cb0af6c553730b29bd9034chunk-bb21d58d36c6306fd8810ddd51c4a971'} -2024-10-30 05:41:07,153 - lightrag - INFO - _check_edge_existence:query:MATCH (a:`A CHRISTMAS CAROL`)-[r]-(b:`PROJECT GUTENBERG`) RETURN COUNT(r) > 0 AS edgeExists:result:True -2024-10-30 05:41:07,295 - lightrag - INFO - get_edge:query: - MATCH (source:`A CHRISTMAS CAROL`)-[r]-(target:`PROJECT GUTENBERG`) - RETURN r - :result:, ) type='DIRECTED' properties={'keywords': '"publication, accessibility"', 'description': '"A Christmas Carol is published and distributed freely through Project Gutenberg, making it accessible to a global audience."', 'weight': 9.0, 'source_id': 'chunk-9e3921da66da5d761ab73cd849af6c43'}> -2024-10-30 05:41:07,449 - lightrag - INFO - _check_edge_existence:query:MATCH (a:`A CHRISTMAS CAROL`)-[r]-(b:`CHARLES DICKENS`) RETURN COUNT(r) > 0 AS edgeExists:result:True -2024-10-30 05:41:07,594 - lightrag - INFO - get_edge:query: - MATCH (source:`A CHRISTMAS CAROL`)-[r]-(target:`CHARLES DICKENS`) - RETURN r - :result:, ) type='DIRECTED' properties={'keywords': '"author, literary impact"', 'description': '"Charles Dickens authored A Christmas Carol, which reflects his views on Victorian society and social issues."', 'weight': 10.0, 'source_id': 'chunk-9e3921da66da5d761ab73cd849af6c43'}> -2024-10-30 05:41:07,742 - lightrag - INFO - _check_edge_existence:query:MATCH (a:`A CHRISTMAS CAROL`)-[r]-(b:`ARTHUR RACKHAM`) RETURN COUNT(r) > 0 AS edgeExists:result:True -2024-10-30 05:41:07,886 - lightrag - INFO - get_edge:query: - MATCH (source:`A CHRISTMAS CAROL`)-[r]-(target:`ARTHUR RACKHAM`) - RETURN r - :result:, ) type='DIRECTED' properties={'keywords': '"illustration, artistic contribution"', 'description': '"Arthur Rackham illustrated A Christmas Carol, enhancing the visual experience of Dickens\' narrative."', 'weight': 8.0, 'source_id': 'chunk-9e3921da66da5d761ab73cd849af6c43'}> -2024-10-30 05:41:08,036 - lightrag - INFO - _check_edge_existence:query:MATCH (a:`BOB CRATCHIT`)-[r]-(b:`EBENEZER SCROOGE`) RETURN COUNT(r) > 0 AS edgeExists:result:True -2024-10-30 05:41:08,176 - lightrag - INFO - get_edge:query: - MATCH (source:`BOB CRATCHIT`)-[r]-(target:`EBENEZER SCROOGE`) - RETURN r - :result:, ) type='DIRECTED' properties={'keywords': '"workplace dynamics, social contrast"', 'description': '"Bob Cratchit works for Ebenezer Scrooge, embodying the struggles of the working class in contrast to Scrooge\'s miserliness."', 'weight': 7.0, 'source_id': 'chunk-9e3921da66da5d761ab73cd849af6c43'}> -2024-10-30 05:41:08,323 - lightrag - INFO - _check_edge_existence:query:MATCH (a:`BOB CRATCHIT`)-[r]-(b:`TINY TIM`) RETURN COUNT(r) > 0 AS edgeExists:result:True -2024-10-30 05:41:08,464 - lightrag - INFO - get_edge:query: - MATCH (source:`BOB CRATCHIT`)-[r]-(target:`TINY TIM`) - RETURN r - :result:, ) type='DIRECTED' properties={'keywords': '"family bond, care""family bond, love""family love, vulnerability""family, struggle""family, support""father-son bond, care"', 'description': '"Bob Cratchit deeply cares for Tiny Tim, demonstrating emotional support and love, especially in moments of distress.""Bob Cratchit expresses love and concern for his son Tiny Tim during the Christmas dinner, highlighting a strong familial bond.""Bob Cratchit is Tiny Tim\'s father, and the turkey Scrooge plans to send will impact Tiny Tim\'s well-being.""Bob Cratchit is Tiny Tim\'s father, and their relationship highlights the theme of family struggle and love, especially during Christmas.""Bob Cratchit shows deep care for Tiny Tim, helping him and expressing pride in his strength and character despite challenges.""Bob Cratchit\'s concern for Tiny Tim illustrates the deep familial love and the challenges facing the Cratchit family."', 'weight': 48.0, 'source_id': 'chunk-83ac129dc9b56f84c46760d153d68e93chunk-503f0bfa5453467c7c61d160a3540ecachunk-1d4b58de5429cd1261370c231c8673e8chunk-90b95db5c53e4364a6bee36b7aa4d70fchunk-94bea83e7153fc2064aa382b494936a1chunk-7e2e7ebcc19a53b399dc03aded4743e7'}> -2024-10-30 05:41:08,613 - lightrag - INFO - _check_edge_existence:query:MATCH (a:`EBENEZER SCROOGE`)-[r]-(b:`MR. FEZZIWIG`) RETURN COUNT(r) > 0 AS edgeExists:result:True -2024-10-30 05:41:08,754 - lightrag - INFO - get_edge:query: - MATCH (source:`EBENEZER SCROOGE`)-[r]-(target:`MR. FEZZIWIG`) - RETURN r - :result:, ) type='DIRECTED' properties={'keywords': '"contrast, influence"', 'description': '"Mr. Fezziwig represents a contrast to Ebenezer Scrooge\'s character, showing kindness and generosity in business."', 'weight': 7.0, 'source_id': 'chunk-9e3921da66da5d761ab73cd849af6c43'}> -2024-10-30 05:41:08,901 - lightrag - INFO - _check_edge_existence:query:MATCH (a:`GHOST OF CHRISTMAS PAST`)-[r]-(b:`SCROOGE`) RETURN COUNT(r) > 0 AS edgeExists:result:True -2024-10-30 05:41:09,042 - lightrag - INFO - get_edge:query: - MATCH (source:`GHOST OF CHRISTMAS PAST`)-[r]-(target:`SCROOGE`) - RETURN r - :result:, ) type='DIRECTED' properties={'keywords': '"reflection, past influence"', 'description': '"Scrooge engages with the Ghost of Christmas Past to explore his earlier life, seeking insight into his current state."', 'weight': 8.0, 'source_id': 'chunk-bb21d58d36c6306fd8810ddd51c4a971'}> -2024-10-30 05:41:09,189 - lightrag - INFO - _check_edge_existence:query:MATCH (a:`GHOST OF CHRISTMAS PRESENT`)-[r]-(b:`SCROOGE`) RETURN COUNT(r) > 0 AS edgeExists:result:True -2024-10-30 05:41:09,328 - lightrag - INFO - get_edge:query: - MATCH (source:`GHOST OF CHRISTMAS PRESENT`)-[r]-(target:`SCROOGE`) - RETURN r - :result:, ) type='DIRECTED' properties={'keywords': '"transformation, mentoring"', 'description': '"Scrooge is led by the Ghost of Christmas Present, who teaches him valuable lessons about generosity and compassion."', 'weight': 10.0, 'source_id': 'chunk-843b5b2f944c7413d9ca876e2e2f151f'}> -2024-10-30 05:41:09,478 - lightrag - INFO - _check_edge_existence:query:MATCH (a:`GHOST OF CHRISTMAS YET TO COME`)-[r]-(b:`SCROOGE`) RETURN COUNT(r) > 0 AS edgeExists:result:True -2024-10-30 05:41:09,619 - lightrag - INFO - get_edge:query: - MATCH (source:`GHOST OF CHRISTMAS YET TO COME`)-[r]-(target:`SCROOGE`) - RETURN r - :result:, ) type='DIRECTED' properties={'keywords': '"forewarning, change""future consequences, redemption"', 'description': '"The Ghost of Christmas Yet to Come presents a foreboding vision of Scrooge\'s future, driving home the need for personal change.""The Ghost shows Scrooge visions of the future, challenging him to change his ways to avoid a grim destiny."', 'weight': 19.0, 'source_id': 'chunk-02baee20cc9463dbe08170a8e1043e32chunk-9e3921da66da5d761ab73cd849af6c43'}> -2024-10-30 05:41:09,765 - lightrag - INFO - _check_edge_existence:query:MATCH (a:`FRED`)-[r]-(b:`SCROOGE`) RETURN COUNT(r) > 0 AS edgeExists:result:True -2024-10-30 05:41:09,906 - lightrag - INFO - get_edge:query: - MATCH (source:`FRED`)-[r]-(target:`SCROOGE`) - RETURN r - :result:, ) type='DIRECTED' properties={'keywords': '"family connection, goodwill""family connection, reconciliation""family, transformation""rejection, familial dynamics"', 'description': '"Scrooge and Fred share a familial bond, with Fred expressing goodwill and celebrating Scrooge despite his uncle\'s previous behavior.""Scrooge expresses a desire to visit Fred, which signifies a reconciliatory gesture toward his family.""Scrooge surprises Fred with his unexpected visit, indicating a shift in their familial relationship and Scrooge\'s attitude toward family.""Scrooge\'s interaction with Fred emphasizes his rejection of familial warmth during the Christmas season."', 'weight': 30.0, 'source_id': 'chunk-8f738cb25d60a7dab782162d9d0a25edchunk-94bea83e7153fc2064aa382b494936a1chunk-89777b838d5447c7bd1ec11282c4ee89chunk-e7637ff18c5ded77a68cce0a87883fad'}> -2024-10-30 05:41:10,051 - lightrag - INFO - _check_edge_existence:query:MATCH (a:`FRED`)-[r]-(b:`GHOST OF CHRISTMAS PRESENT`) RETURN COUNT(r) > 0 AS edgeExists:result:True -2024-10-30 05:41:10,190 - lightrag - INFO - get_edge:query: - MATCH (source:`FRED`)-[r]-(target:`GHOST OF CHRISTMAS PRESENT`) - RETURN r - :result:, ) type='DIRECTED' properties={'keywords': '"celebration, Christmas spirit"', 'description': '"Fred is celebrated by the Ghost of Christmas Present as a symbol of Christmas spirit, highlighting the contrast with Scrooge."', 'weight': 8.0, 'source_id': 'chunk-9e3921da66da5d761ab73cd849af6c43'}> -2024-10-30 05:41:10,335 - lightrag - INFO - _check_edge_existence:query:MATCH (a:`BOB CRATCHIT`)-[r]-(b:`MRS. CRATCHIT`) RETURN COUNT(r) > 0 AS edgeExists:result:True -2024-10-30 05:41:10,477 - lightrag - INFO - get_edge:query: - MATCH (source:`BOB CRATCHIT`)-[r]-(target:`MRS. CRATCHIT`) - RETURN r - :result:, ) type='DIRECTED' properties={'keywords': '"family unity, celebration""partnership, family unity"', 'description': '"Bob and Mrs. Cratchit represent a family working together to create a festive and warm environment despite their limited means.""Mrs. Cratchit supports Bob Cratchit in his parenting efforts and encourages the family’s unity during challenging times."', 'weight': 16.0, 'source_id': 'chunk-1d4b58de5429cd1261370c231c8673e8chunk-b0f459f5af1c3a5e0b92cbe4ee48b77b'}> -2024-10-30 05:41:10,621 - lightrag - INFO - _check_edge_existence:query:MATCH (a:`GHOST OF CHRISTMAS PRESENT`)-[r]-(b:`TINY TIM`) RETURN COUNT(r) > 0 AS edgeExists:result:True -2024-10-30 05:41:10,759 - lightrag - INFO - get_edge:query: - MATCH (source:`GHOST OF CHRISTMAS PRESENT`)-[r]-(target:`TINY TIM`) - RETURN r - :result:, ) type='DIRECTED' properties={'keywords': '"compassion, family"', 'description': '"The Ghost of Christmas Present reveals Tiny Tim’s struggles and optimism, emphasizing themes of compassion and family."', 'weight': 9.0, 'source_id': 'chunk-9e3921da66da5d761ab73cd849af6c43'}> -2024-10-30 05:41:10,907 - lightrag - INFO - _check_edge_existence:query:MATCH (a:`BOB CRATCHIT`)-[r]-(b:`MARTHA CRATCHIT`) RETURN COUNT(r) > 0 AS edgeExists:result:True -2024-10-30 05:41:11,050 - lightrag - INFO - get_edge:query: - MATCH (source:`BOB CRATCHIT`)-[r]-(target:`MARTHA CRATCHIT`) - RETURN r - :result:, ) type='DIRECTED' properties={'keywords': '"family bond, affection"', 'description': '"Martha shows affection for Bob Cratchit upon her arrival, indicating a warm father-daughter relationship within the family."', 'weight': 7.0, 'source_id': 'chunk-7e2e7ebcc19a53b399dc03aded4743e7'}> -2024-10-30 05:41:11,195 - lightrag - INFO - _check_edge_existence:query:MATCH (a:`MR. FEZZIWIG`)-[r]-(b:`SCROOGE`) RETURN COUNT(r) > 0 AS edgeExists:result:True -2024-10-30 05:41:11,335 - lightrag - INFO - get_edge:query: - MATCH (source:`MR. FEZZIWIG`)-[r]-(target:`SCROOGE`) - RETURN r - :result:, ) type='DIRECTED' properties={'keywords': '"kindness, influence"', 'description': '"Mr. Fezziwig\'s kindness towards employees influences Scrooge\'s eventual change in attitude toward generosity and business."', 'weight': 8.0, 'source_id': 'chunk-9e3921da66da5d761ab73cd849af6c43'}> -2024-10-30 05:41:11,478 - lightrag - INFO - _check_edge_existence:query:MATCH (a:`GHOST OF JACOB MARLEY`)-[r]-(b:`SCROOGE`) RETURN COUNT(r) > 0 AS edgeExists:result:True -2024-10-30 05:41:11,621 - lightrag - INFO - get_edge:query: - MATCH (source:`GHOST OF JACOB MARLEY`)-[r]-(target:`SCROOGE`) - RETURN r - :result:, ) type='DIRECTED' properties={'keywords': '"warning, transformation"', 'description': '"Jacob Marley appears to Scrooge as a warning and catalyst for his eventual transformation into a better person."', 'weight': 9.0, 'source_id': 'chunk-9e3921da66da5d761ab73cd849af6c43'}> -2024-10-30 05:41:11,769 - lightrag - INFO - _check_edge_existence:query:MATCH (a:`FAN`)-[r]-(b:`SCROOGE`) RETURN COUNT(r) > 0 AS edgeExists:result:True -2024-10-30 05:41:11,910 - lightrag - INFO - get_edge:query: - MATCH (source:`FAN`)-[r]-(target:`SCROOGE`) - RETURN r - :result:, ) type='DIRECTED' properties={'keywords': '"family, joy lost""sibling bond, nostalgia"', 'description': '"Fan\'s loving relationship with her brother Scrooge reflects the lost potential for joy in his life due to his choices.""Scrooge and Fan share a sibling bond, with Fan representing innocence and happiness from their childhood, which evokes fond memories for Scrooge."', 'weight': 14.0, 'source_id': 'chunk-c6c248858d1b13ab7ee9ca13c1aeed6bchunk-9e3921da66da5d761ab73cd849af6c43'}> -2024-10-30 05:41:12,052 - lightrag - INFO - _check_edge_existence:query:MATCH (a:`MR. FEZZIWIG`)-[r]-(b:`MRS. FEZZIWIG`) RETURN COUNT(r) > 0 AS edgeExists:result:True -2024-10-30 05:41:12,188 - lightrag - INFO - get_edge:query: - MATCH (source:`MR. FEZZIWIG`)-[r]-(target:`MRS. FEZZIWIG`) - RETURN r - :result:, ) type='DIRECTED' properties={'keywords': '"partnership, Christmas joy"', 'description': '"Mr. and Mrs. Fezziwig together create a joyful environment during Christmas, representing partnership and generosity."', 'weight': 8.0, 'source_id': 'chunk-9e3921da66da5d761ab73cd849af6c43'}> -2024-10-30 05:41:12,334 - lightrag - INFO - _check_edge_existence:query:MATCH (a:`FEZZIWIG`)-[r]-(b:`SCROOGE`) RETURN COUNT(r) > 0 AS edgeExists:result:True -2024-10-30 05:41:12,473 - lightrag - INFO - get_edge:query: - MATCH (source:`FEZZIWIG`)-[r]-(target:`SCROOGE`) - RETURN r - :result:, ) type='DIRECTED' properties={'keywords': '"kindness, mentorship""reflection, influence"', 'description': '"Scrooge reflects positively on Fezziwig\'s past actions, acknowledging the happiness and gratitude he inspired in people.""Scrooge reminisces about Fezziwig\'s kindness during his apprenticeship, comparing his past self to his current state."', 'weight': 16.0, 'source_id': 'chunk-b2f98bc7abb0c67d4c86055c7fd72218chunk-c6c248858d1b13ab7ee9ca13c1aeed6b'}> -2024-10-30 05:41:12,622 - lightrag - INFO - _check_edge_existence:query:MATCH (a:`MARLEY`)-[r]-(b:`SCROOGE`) RETURN COUNT(r) > 0 AS edgeExists:result:True -2024-10-30 05:41:12,794 - lightrag - INFO - get_edge:query: - MATCH (source:`MARLEY`)-[r]-(target:`SCROOGE`) - RETURN r - :result:, ) type='DIRECTED' properties={'keywords': '"mourning, partnership""past influence, personal history""redemption, confrontation""supernatural connection, past relationships"', 'description': '"Marley’s influence and past relationship with Scrooge is indicated, suggesting a connection that impacts Scrooge\'s character growth.""Scrooge is deeply affected by Marley\'s death, illustrated through his role as the sole executor and mourner of Marley.""Scrooge reflects on Marley, revealing his past connection and the haunting aspect of Marley\'s death, which influences Scrooge\'s character arc.""Scrooge\'s encounter with Marley’s Ghost serves as a confrontation with his past self and the life choices he regrets, depicting the theme of redemption."', 'weight': 32.0, 'source_id': 'chunk-d9aac3484185ac66045df92214d245d5chunk-843b5b2f944c7413d9ca876e2e2f151fchunk-89777b838d5447c7bd1ec11282c4ee89chunk-9c43dac2fcd5b578242d907ea6f8fc7b'}> -2024-10-30 05:41:12,943 - lightrag - INFO - _check_edge_existence:query:MATCH (a:`CHRISTMAS`)-[r]-(b:`SCROOGE`) RETURN COUNT(r) > 0 AS edgeExists:result:True -2024-10-30 05:41:13,078 - lightrag - INFO - get_edge:query: - MATCH (source:`CHRISTMAS`)-[r]-(target:`SCROOGE`) - RETURN r - :result:, ) type='DIRECTED' properties={'keywords': '"character development, festive spirit""conflict, holiday spirit""contrast, seasonal significance""disconnection, festive spirit""holiday significance, reflection""reflection, redemption""seasonal significance, emotional reflection""transformation, festive spirit""transformation, holiday significance""transformation, holiday spirit"', 'description': '"Christmas is a central theme that invokes Scrooge\'s memories of his past, his feelings of loneliness, and his desire to connect.""Christmas serves as a focal point for Scrooge\'s emotional reflections on joy and his disconnect from societal celebrations.""Christmas serves as the catalyst for Scrooge\'s transformation, highlighting themes of giving and compassion.""Scrooge expresses disdain for Christmas, viewing it as a burden rather than a celebration.""Scrooge\'s attitude towards Christmas highlights his disconnection from the festive spirit and charity associated with the holiday.""Scrooge\'s character contrasts sharply with the joy of Christmas, highlighting his disdain for the festive season.""Scrooge\'s experience during the Christmas event highlights the transformation of his character and the spirit of the holiday.""Scrooge\'s journey with the Spirit ultimately leads him to reflect on the meaning of Christmas and its impact on human connections.""Scrooge\'s transformation and newfound joy are directly linked to the spirit of Christmas.""Scrooge\'s transformation is centered around the spirit of Christmas, which he learns to embrace and celebrate.""Scrooge\'s views on Christmas evolve as he witnesses the joy and familial love associated with the holiday, marking a shift in his character."', 'weight': 95.0, 'source_id': 'chunk-91614df5cb74cbe5e109a338a82041e9chunk-8f738cb25d60a7dab782162d9d0a25edchunk-e7637ff18c5ded77a68cce0a87883fadchunk-8590d9263cd2cd4fa583c432fc54e6c3chunk-54bdd22db1f84a965b5f4c06c9216d8dchunk-90d5764e301321c087f5a8f78b73a145chunk-da2472b4ef2a535b62908f14d0fb0ca9chunk-94bea83e7153fc2064aa382b494936a1chunk-89777b838d5447c7bd1ec11282c4ee89chunk-99b0ec7f7e006561352b5d65e849611dchunk-74e2466de2f67fd710ef2f20c0a8d9e0'}> -2024-10-30 05:41:13,221 - lightrag - INFO - _check_edge_existence:query:MATCH (a:`SCROOGE`)-[r]-(b:`THE WAREHOUSE`) RETURN COUNT(r) > 0 AS edgeExists:result:True -2024-10-30 05:41:13,359 - lightrag - INFO - get_edge:query: - MATCH (source:`SCROOGE`)-[r]-(target:`THE WAREHOUSE`) - RETURN r - :result:, ) type='DIRECTED' properties={'keywords': '"memories, apprenticeship"', 'description': '"Scrooge\'s connection to the Warehouse emphasizes his memories of apprenticeship and his past experiences."', 'weight': 8.0, 'source_id': 'chunk-c6c248858d1b13ab7ee9ca13c1aeed6b'}> -2024-10-30 05:41:13,500 - lightrag - INFO - _check_edge_existence:query:MATCH (a:`JOE`)-[r]-(b:`THE WOMAN`) RETURN COUNT(r) > 0 AS edgeExists:result:True -2024-10-30 05:41:13,640 - lightrag - INFO - get_edge:query: - MATCH (source:`JOE`)-[r]-(target:`THE WOMAN`) - RETURN r - :result:, ) type='DIRECTED' properties={'keywords': '"dialogue, humor, death""humor, interaction"', 'description': '"Joe and The Woman engage in dialogue about the deceased\'s belongings, showcasing their interactions and differing attitudes towards death.""Joe and The Woman share a humorous exchange about the bed-curtains, reflecting the jovial spirit of the gathering."', 'weight': 12.0, 'source_id': 'chunk-89777b838d5447c7bd1ec11282c4ee89chunk-e1f29eeadc1d8ab46dc8a0bbd3c56b64'}> -2024-10-30 05:41:13,784 - lightrag - INFO - _check_edge_existence:query:MATCH (a:`SCROOGE`)-[r]-(b:`TIM`) RETURN COUNT(r) > 0 AS edgeExists:result:True -2024-10-30 05:41:13,922 - lightrag - INFO - get_edge:query: - MATCH (source:`SCROOGE`)-[r]-(target:`TIM`) - RETURN r - :result:, ) type='DIRECTED' properties={'keywords': '"familial connection, emotional depth"', 'description': '"Scrooge\'s connection to Tim emphasizes emotional depth, reflecting on family and lost connections as part of his character development."', 'weight': 8.0, 'source_id': 'chunk-89777b838d5447c7bd1ec11282c4ee89'}> -2024-10-30 05:41:14,065 - lightrag - INFO - _check_edge_existence:query:MATCH (a:`OLD SCROOGE`)-[r]-(b:`SCROOGE`) RETURN COUNT(r) > 0 AS edgeExists:result:True -2024-10-30 05:41:14,202 - lightrag - INFO - get_edge:query: - MATCH (source:`OLD SCROOGE`)-[r]-(target:`SCROOGE`) - RETURN r - :result:, ) type='DIRECTED' properties={'keywords': '"character history, development"', 'description': '"Scrooge\'s history is revealed through the mention of Old Scrooge, indicating his past beliefs and practices that shape his current persona."', 'weight': 7.0, 'source_id': 'chunk-89777b838d5447c7bd1ec11282c4ee89'}> -2024-10-30 05:41:14,344 - lightrag - INFO - _check_edge_existence:query:MATCH (a:`MARLEY'S FUNERAL`)-[r]-(b:`SCROOGE`) RETURN COUNT(r) > 0 AS edgeExists:result:True -2024-10-30 05:41:14,482 - lightrag - INFO - get_edge:query: - MATCH (source:`MARLEY'S FUNERAL`)-[r]-(target:`SCROOGE`) - RETURN r - :result:, ) type='DIRECTED' properties={'keywords': '"loss, character journey"', 'description': '"Marley\'s Funeral signifies the beginning of Scrooge\'s emotional journey, showcasing his reaction to loss and setting the stage for the narrative."', 'weight': 9.0, 'source_id': 'chunk-89777b838d5447c7bd1ec11282c4ee89'}> -2024-10-30 05:41:14,629 - lightrag - INFO - _check_edge_existence:query:MATCH (a:`SCROOGE`)-[r]-(b:`SCROOGE'S NEPHEW`) RETURN COUNT(r) > 0 AS edgeExists:result:True -2024-10-30 05:41:14,769 - lightrag - INFO - get_edge:query: - MATCH (source:`SCROOGE`)-[r]-(target:`SCROOGE'S NEPHEW`) - RETURN r - :result:, ) type='DIRECTED' properties={'keywords': '"family conflict, differing perspectives""family dynamics, contrasting views""family dynamics, opposing views"', 'description': '"Scrooge\'s Nephew contrasts with Scrooge, advocating for merriment and showing pity for his uncle\'s ill tempers.""Scrooge\'s Nephew tries to cheer Scrooge up and promote the joy of Christmas, but is met with rejection and negativity.""Scrooge\'s Nephew tries to convince Scrooge of the joys of Christmas, illustrating the conflict between their differing views on the holiday."', 'weight': 24.0, 'source_id': 'chunk-773d0df1dd25c356f7b771d780583e09chunk-74e2466de2f67fd710ef2f20c0a8d9e0chunk-5dac41b3f9eeaf794f0147400b1718cd'}> -2024-10-30 05:41:14,916 - lightrag - INFO - _check_edge_existence:query:MATCH (a:`CHRISTMAS`)-[r]-(b:`SCROOGE'S NEPHEW`) RETURN COUNT(r) > 0 AS edgeExists:result:True -2024-10-30 05:41:15,054 - lightrag - INFO - get_edge:query: - MATCH (source:`CHRISTMAS`)-[r]-(target:`SCROOGE'S NEPHEW`) - RETURN r - :result:, ) type='DIRECTED' properties={'keywords': '"advocacy for holiday spirit, family dynamics"', 'description': '"Scrooge\'s Nephew defends the positive aspects of Christmas, contrasting Scrooge\'s view that the holiday is pointless."', 'weight': 9.0, 'source_id': 'chunk-5dac41b3f9eeaf794f0147400b1718cd'}> -2024-10-30 05:41:15,205 - lightrag - INFO - _check_edge_existence:query:MATCH (a:`COUNTING-HOUSE`)-[r]-(b:`SCROOGE`) RETURN COUNT(r) > 0 AS edgeExists:result:True -2024-10-30 05:41:15,347 - lightrag - INFO - get_edge:query: - MATCH (source:`COUNTING-HOUSE`)-[r]-(target:`SCROOGE`) - RETURN r - :result:, ) type='DIRECTED' properties={'keywords': '"isolation, work environment""reflection, priorities"', 'description': '"Scrooge reflects on his life spent in the Counting-house, which represents his previous priorities focused on business over personal connections.""Scrooge\'s counting-house is a reflection of his cold character and attitude towards life, where he isolates himself from human interactions."', 'weight': 16.0, 'source_id': 'chunk-74e2466de2f67fd710ef2f20c0a8d9e0chunk-359187e7571bda4b0b08b2e0b6581e52'}> -2024-10-30 05:41:15,489 - lightrag - INFO - _check_edge_existence:query:MATCH (a:`BEGGARS`)-[r]-(b:`SCROOGE`) RETURN COUNT(r) > 0 AS edgeExists:result:True -2024-10-30 05:41:15,628 - lightrag - INFO - get_edge:query: - MATCH (source:`BEGGARS`)-[r]-(target:`SCROOGE`) - RETURN r - :result:, ) type='DIRECTED' properties={'keywords': '"lack of compassion, social isolation"', 'description': '"Beggars do not seek help from Scrooge due to his reputation, highlighting his inability to connect and empathize with those in need."', 'weight': 6.0, 'source_id': 'chunk-74e2466de2f67fd710ef2f20c0a8d9e0'}> -2024-10-30 05:41:15,776 - lightrag - INFO - _check_edge_existence:query:MATCH (a:`CHILDREN`)-[r]-(b:`SCROOGE`) RETURN COUNT(r) > 0 AS edgeExists:result:True -2024-10-30 05:41:15,919 - lightrag - INFO - get_edge:query: - MATCH (source:`CHILDREN`)-[r]-(target:`SCROOGE`) - RETURN r - :result:, ) type='DIRECTED' properties={'keywords': '"longing, innocence"', 'description': '"Scrooge\'s reaction to the Children he observes in his memories reveals his longing for the happiness he once knew but has since lost."', 'weight': 7.0, 'source_id': 'chunk-bb21d58d36c6306fd8810ddd51c4a971'}> -2024-10-30 05:41:16,107 - lightrag - INFO - _check_edge_existence:query:MATCH (a:`COLD WEATHER`)-[r]-(b:`SCROOGE`) RETURN COUNT(r) > 0 AS edgeExists:result:True -2024-10-30 05:41:16,247 - lightrag - INFO - get_edge:query: - MATCH (source:`COLD WEATHER`)-[r]-(target:`SCROOGE`) - RETURN r - :result:, ) type='DIRECTED' properties={'keywords': '"atmosphere, personality mirror"', 'description': '"The cold weather reflects Scrooge\'s icy demeanor, emphasizing his negative attitude towards life and others."', 'weight': 9.0, 'source_id': 'chunk-74e2466de2f67fd710ef2f20c0a8d9e0'}> -2024-10-30 05:41:16,394 - lightrag - INFO - _check_edge_existence:query:MATCH (a:`FOG`)-[r]-(b:`SCROOGE`) RETURN COUNT(r) > 0 AS edgeExists:result:True -2024-10-30 05:41:16,533 - lightrag - INFO - get_edge:query: - MATCH (source:`FOG`)-[r]-(target:`SCROOGE`) - RETURN r - :result:, ) type='DIRECTED' properties={'keywords': '"atmosphere, emotional reflection"', 'description': '"Fog represents the obscured vision of Scrooge\'s soul and emotions, aligning with his unknowable nature."', 'weight': 8.0, 'source_id': 'chunk-d9aac3484185ac66045df92214d245d5'}> -2024-10-30 05:41:16,675 - lightrag - INFO - _check_edge_existence:query:MATCH (a:`COURT`)-[r]-(b:`SCROOGE`) RETURN COUNT(r) > 0 AS edgeExists:result:True -2024-10-30 05:41:16,813 - lightrag - INFO - get_edge:query: - MATCH (source:`COURT`)-[r]-(target:`SCROOGE`) - RETURN r - :result:, ) type='DIRECTED' properties={'keywords': '"social contrast, isolation"', 'description': '"The court serves as a contrasting backdrop to Scrooge’s private space, where social warmth and interaction occur, which he actively avoids."', 'weight': 7.0, 'source_id': 'chunk-74e2466de2f67fd710ef2f20c0a8d9e0'}> -2024-10-30 05:41:16,960 - lightrag - INFO - _check_edge_existence:query:MATCH (a:`MARLEY`)-[r]-(b:`SCROOGE AND MARLEY'S`) RETURN COUNT(r) > 0 AS edgeExists:result:True -2024-10-30 05:41:17,097 - lightrag - INFO - get_edge:query: - MATCH (source:`MARLEY`)-[r]-(target:`SCROOGE AND MARLEY'S`) - RETURN r - :result:, ) type='DIRECTED' properties={'keywords': '"partnership, legacy"', 'description': '"Scrooge and Marley\'s is the business associated with Marley, emphasizing its history and the weight of Marley\'s legacy in shaping Scrooge\'s character."', 'weight': 6.0, 'source_id': 'chunk-5dac41b3f9eeaf794f0147400b1718cd'}> -2024-10-30 05:41:17,238 - lightrag - INFO - _check_edge_existence:query:MATCH (a:`CLERK`)-[r]-(b:`SCROOGE`) RETURN COUNT(r) > 0 AS edgeExists:result:True -2024-10-30 05:41:17,391 - lightrag - INFO - get_edge:query: - MATCH (source:`CLERK`)-[r]-(target:`SCROOGE`) - RETURN r - :result:, ) type='DIRECTED' properties={'keywords': '"employment relationship, respect"', 'description': '"The Clerk communicates with Scrooge about his work, highlighting the lack of mutual respect in their employer-employee relationship."', 'weight': 5.0, 'source_id': 'chunk-d9aac3484185ac66045df92214d245d5'}> -2024-10-30 05:41:17,541 - lightrag - INFO - _check_edge_existence:query:MATCH (a:`SCROOGE`)-[r]-(b:`THE GENTLEMEN`) RETURN COUNT(r) > 0 AS edgeExists:result:True -2024-10-30 05:41:17,678 - lightrag - INFO - get_edge:query: - MATCH (source:`SCROOGE`)-[r]-(target:`THE GENTLEMEN`) - RETURN r - :result:, ) type='DIRECTED' properties={'keywords': '"charity, social responsibility"', 'description': '"The Gentlemen approach Scrooge about donations for the poor, representing a charitable campaign that he strongly resists."', 'weight': 8.0, 'source_id': 'chunk-5dac41b3f9eeaf794f0147400b1718cd'}> -2024-10-30 05:41:17,823 - lightrag - INFO - _check_edge_existence:query:MATCH (a:`POOR AND DESTITUTE`)-[r]-(b:`SCROOGE`) RETURN COUNT(r) > 0 AS edgeExists:result:True -2024-10-30 05:41:17,961 - lightrag - INFO - get_edge:query: - MATCH (source:`POOR AND DESTITUTE`)-[r]-(target:`SCROOGE`) - RETURN r - :result:, ) type='DIRECTED' properties={'keywords': '"miserliness, social neglect"', 'description': '"Scrooge\'s reluctance to support the Poor and Destitute highlights his miserly nature and his antagonism toward societal responsibility."', 'weight': 7.0, 'source_id': 'chunk-5dac41b3f9eeaf794f0147400b1718cd'}> -2024-10-30 05:41:18,106 - lightrag - INFO - _check_edge_existence:query:MATCH (a:`CHRISTMAS-TIME`)-[r]-(b:`SCROOGE'S NEPHEW`) RETURN COUNT(r) > 0 AS edgeExists:result:True -2024-10-30 05:41:18,243 - lightrag - INFO - get_edge:query: - MATCH (source:`CHRISTMAS-TIME`)-[r]-(target:`SCROOGE'S NEPHEW`) - RETURN r - :result:, ) type='DIRECTED' properties={'keywords': '"celebration, family dynamics"', 'description': '"Scrooge\'s Nephew celebrates Christmas-Time as a period for kindness and charity, clashing with Scrooge\'s cynical view."', 'weight': 8.0, 'source_id': 'chunk-5dac41b3f9eeaf794f0147400b1718cd'}> -2024-10-30 05:41:18,388 - lightrag - INFO - _check_edge_existence:query:MATCH (a:`BEDLAM`)-[r]-(b:`SCROOGE`) RETURN COUNT(r) > 0 AS edgeExists:result:True -2024-10-30 05:41:18,524 - lightrag - INFO - get_edge:query: - MATCH (source:`BEDLAM`)-[r]-(target:`SCROOGE`) - RETURN r - :result:, ) type='DIRECTED' properties={'keywords': '"disdain, societal norms"', 'description': '"Scrooge invokes the concept of Bedlam to express his disbelief and frustration at the cheerfulness of others, implying a disdain for societal norms."', 'weight': 6.0, 'source_id': 'chunk-5dac41b3f9eeaf794f0147400b1718cd'}> -2024-10-30 05:41:18,666 - lightrag - INFO - _check_edge_existence:query:MATCH (a:`SCROOGE`)-[r]-(b:`THE GENTLEMAN`) RETURN COUNT(r) > 0 AS edgeExists:result:True -2024-10-30 05:41:18,804 - lightrag - INFO - get_edge:query: - MATCH (source:`SCROOGE`)-[r]-(target:`THE GENTLEMAN`) - RETURN r - :result:, ) type='DIRECTED' properties={'keywords': '"charity, conflict of values"', 'description': '"Scrooge and The Gentleman have opposing views on charity and helping the poor during Christmas, showing a stark contrast in values."', 'weight': 8.0, 'source_id': 'chunk-90d5764e301321c087f5a8f78b73a145'}> -2024-10-30 05:41:18,953 - lightrag - INFO - _check_edge_existence:query:MATCH (a:`THE GENTLEMAN`)-[r]-(b:`THE POOR LAW`) RETURN COUNT(r) > 0 AS edgeExists:result:True -2024-10-30 05:41:19,091 - lightrag - INFO - get_edge:query: - MATCH (source:`THE GENTLEMAN`)-[r]-(target:`THE POOR LAW`) - RETURN r - :result:, ) type='DIRECTED' properties={'keywords': '"charity, systemic support"', 'description': '"The Gentleman references the Poor Law as part of his argument for helping the needy, illustrating systemic support for the impoverished."', 'weight': 6.0, 'source_id': 'chunk-90d5764e301321c087f5a8f78b73a145'}> -2024-10-30 05:41:19,233 - lightrag - INFO - _check_edge_existence:query:MATCH (a:`THE POOR LAW`)-[r]-(b:`THE UNION WORKHOUSES`) RETURN COUNT(r) > 0 AS edgeExists:result:True -2024-10-30 05:41:19,372 - lightrag - INFO - get_edge:query: - MATCH (source:`THE POOR LAW`)-[r]-(target:`THE UNION WORKHOUSES`) - RETURN r - :result:, ) type='DIRECTED' properties={'keywords': '"support mechanisms, charity"', 'description': '"The Poor Law and Union Workhouses are connected as they both serve as mechanisms for helping the poor, albeit with differing implications for charity."', 'weight': 7.0, 'source_id': 'chunk-90d5764e301321c087f5a8f78b73a145'}> -2024-10-30 05:41:19,514 - lightrag - INFO - _check_edge_existence:query:MATCH (a:`THE LADY MAYOR`)-[r]-(b:`THE MANSION HOUSE`) RETURN COUNT(r) > 0 AS edgeExists:result:True -2024-10-30 05:41:19,652 - lightrag - INFO - get_edge:query: - MATCH (source:`THE LADY MAYOR`)-[r]-(target:`THE MANSION HOUSE`) - RETURN r - :result:, ) type='DIRECTED' properties={'keywords': '"holiday preparations, community significance"', 'description': '"The Lady Mayor prepares for Christmas festivities at the Mansion House, highlighting the importance of the event to the community."', 'weight': 8.0, 'source_id': 'chunk-90d5764e301321c087f5a8f78b73a145'}> -2024-10-30 05:41:19,794 - lightrag - INFO - _check_edge_existence:query:MATCH (a:`BOB CRATCHIT`)-[r]-(b:`SCROOGE`) RETURN COUNT(r) > 0 AS edgeExists:result:True -2024-10-30 05:41:19,932 - lightrag - INFO - get_edge:query: - MATCH (source:`BOB CRATCHIT`)-[r]-(target:`SCROOGE`) - RETURN r - :result:, ) type='DIRECTED' properties={'keywords': '"employment, generosity""employment, power dynamic""employment, social reflection""family dynamics, acknowledgment""generosity, relationship change""gratitude, redemption"', 'description': '"Bob Cratchit tries to maintain a positive atmosphere during the Christmas feast despite the negative association with Scrooge.""Bob praises Scrooge as \'The Founder of the Feast\', showing appreciation despite Scrooge’s previous miserliness.""Scrooge decides to send a turkey to Bob Cratchit, indicating a newfound kindness towards him and his family.""Scrooge is Bob Cratchit\'s employer, and he reflects on the challenges Bob faces regarding family and food on Christmas Day.".""Scrooge is the employer of Bob Cratchit, demonstrating a power dynamic characterized by Scrooge\'s harsh treatment and Bob\'s subservient role.""Scrooge reprimands Bob for arriving late, but ultimately decides to raise his salary, signaling a significant change in their employer-employee relationship."', 'weight': 40.0, 'source_id': 'chunk-503f0bfa5453467c7c61d160a3540ecachunk-90b95db5c53e4364a6bee36b7aa4d70fchunk-b0f459f5af1c3a5e0b92cbe4ee48b77bchunk-d9aac3484185ac66045df92214d245d5chunk-94bea83e7153fc2064aa382b494936a1chunk-19d72c57ae3408758b18d2568e86dc6b'}> -2024-10-30 05:41:20,074 - lightrag - INFO - _check_edge_existence:query:MATCH (a:`CHRISTMAS EVE`)-[r]-(b:`SCROOGE`) RETURN COUNT(r) > 0 AS edgeExists:result:True -2024-10-30 05:41:20,219 - lightrag - INFO - get_edge:query: - MATCH (source:`CHRISTMAS EVE`)-[r]-(target:`SCROOGE`) - RETURN r - :result:, ) type='DIRECTED' properties={'keywords': '"holiday spirit, character development"', 'description': '"Scrooge\'s actions and attitudes towards Christmas Eve highlight his disdain for traditional celebrations, setting the tone for his character arc."', 'weight': 8.0, 'source_id': 'chunk-d9aac3484185ac66045df92214d245d5'}> -2024-10-30 05:41:20,364 - lightrag - INFO - _check_edge_existence:query:MATCH (a:`BOB CRATCHIT`)-[r]-(b:`CHRISTMAS EVE`) RETURN COUNT(r) > 0 AS edgeExists:result:True -2024-10-30 05:41:20,499 - lightrag - INFO - get_edge:query: - MATCH (source:`BOB CRATCHIT`)-[r]-(target:`CHRISTMAS EVE`) - RETURN r - :result:, ) type='DIRECTED' properties={'keywords': '"celebration, contrast"', 'description': '"Bob Cratchit embodies the joy of Christmas Eve while Scrooge\'s perspective starkly contrasts with Bob\'s happiness during the holiday season."', 'weight': 5.0, 'source_id': 'chunk-d9aac3484185ac66045df92214d245d5'}> -2024-10-30 05:41:20,641 - lightrag - INFO - _check_edge_existence:query:MATCH (a:`SCROOGE`)-[r]-(b:`THE COUNTING-HOUSE`) RETURN COUNT(r) > 0 AS edgeExists:result:True -2024-10-30 05:41:20,779 - lightrag - INFO - get_edge:query: - MATCH (source:`SCROOGE`)-[r]-(target:`THE COUNTING-HOUSE`) - RETURN r - :result:, ) type='DIRECTED' properties={'keywords': '"work environment, character development""work environment, personality reflection"', 'description': '"Scrooge\'s work environment reflects his personality, being cold and uninviting, mirroring his discontent with life.""The Counting-House is where Scrooge works, illustrating the environment that shapes his bleak personality."', 'weight': 14.0, 'source_id': 'chunk-d9aac3484185ac66045df92214d245d5chunk-74e2466de2f67fd710ef2f20c0a8d9e0'}> -2024-10-30 05:41:20,921 - lightrag - INFO - _check_edge_existence:query:MATCH (a:`SCROOGE`)-[r]-(b:`THE KNOCKER`) RETURN COUNT(r) > 0 AS edgeExists:result:True -2024-10-30 05:41:21,061 - lightrag - INFO - get_edge:query: - MATCH (source:`SCROOGE`)-[r]-(target:`THE KNOCKER`) - RETURN r - :result:, ) type='DIRECTED' properties={'keywords': '"appreciation, transformation""symbolism, transformation"', 'description': '"Scrooge admires the knocker at his door, marking a positive change in his attitude towards life and surroundings.""The Knocker, transforming into Marley\'s face, symbolizes Scrooge\'s ghostly past and impending redemption challenges."', 'weight': 15.0, 'source_id': 'chunk-d9aac3484185ac66045df92214d245d5chunk-8f738cb25d60a7dab782162d9d0a25ed'}> -2024-10-30 05:41:21,203 - lightrag - INFO - _check_edge_existence:query:MATCH (a:`SCROOGE`)-[r]-(b:`THE YARD`) RETURN COUNT(r) > 0 AS edgeExists:result:True -2024-10-30 05:41:21,339 - lightrag - INFO - get_edge:query: - MATCH (source:`SCROOGE`)-[r]-(target:`THE YARD`) - RETURN r - :result:, ) type='DIRECTED' properties={'keywords': '"isolation, emotional landscape"', 'description': '"The Yard represents the isolation in Scrooge\'s life, physically and metaphorically reflecting his emotional state."', 'weight': 8.0, 'source_id': 'chunk-d9aac3484185ac66045df92214d245d5'}> -2024-10-30 05:41:21,491 - lightrag - INFO - _check_edge_existence:query:MATCH (a:`SCROOGE`)-[r]-(b:`THE FOG AND FROST`) RETURN COUNT(r) > 0 AS edgeExists:result:True -2024-10-30 05:41:21,627 - lightrag - INFO - get_edge:query: - MATCH (source:`SCROOGE`)-[r]-(target:`THE FOG AND FROST`) - RETURN r - :result:, ) type='DIRECTED' properties={'keywords': '"atmosphere, emotional coldness"', 'description': '"The Fog and Frost enveloping Scrooge\'s home reflect the chilling atmosphere of his life and his emotional coldness."', 'weight': 7.0, 'source_id': 'chunk-d9aac3484185ac66045df92214d245d5'}> -2024-10-30 05:41:21,782 - lightrag - INFO - _check_edge_existence:query:MATCH (a:`BOB CRATCHIT`)-[r]-(b:`THE COUNTING-HOUSE CLERK`) RETURN COUNT(r) > 0 AS edgeExists:result:True -2024-10-30 05:41:21,920 - lightrag - INFO - get_edge:query: - MATCH (source:`BOB CRATCHIT`)-[r]-(target:`THE COUNTING-HOUSE CLERK`) - RETURN r - :result:, ) type='DIRECTED' properties={'keywords': '"workforce dynamics, character contrast"', 'description': '"Bob Cratchit and The Counting-House Clerk represent the working class under Scrooge\'s employment, showcasing different character traits in the context of their work."', 'weight': 6.0, 'source_id': 'chunk-d9aac3484185ac66045df92214d245d5'}> -2024-10-30 05:41:22,064 - lightrag - INFO - _check_edge_existence:query:MATCH (a:`SCROOGE`)-[r]-(b:`THE GHOST OF MARLEY`) RETURN COUNT(r) > 0 AS edgeExists:result:True -2024-10-30 05:41:22,203 - lightrag - INFO - get_edge:query: - MATCH (source:`SCROOGE`)-[r]-(target:`THE GHOST OF MARLEY`) - RETURN r - :result:, ) type='DIRECTED' properties={'keywords': '"supernatural, moral reckoning"', 'description': '"The Ghost of Marley symbolizes Scrooge\'s past mistakes and serves as a catalyst for his transformation."', 'weight': 9.0, 'source_id': 'chunk-d9aac3484185ac66045df92214d245d5'}> -2024-10-30 05:41:22,348 - lightrag - INFO - _check_edge_existence:query:MATCH (a:`BOB CRATCHIT`)-[r]-(b:`CAMDEN TOWN`) RETURN COUNT(r) > 0 AS edgeExists:result:True -2024-10-30 05:41:22,486 - lightrag - INFO - get_edge:query: - MATCH (source:`BOB CRATCHIT`)-[r]-(target:`CAMDEN TOWN`) - RETURN r - :result:, ) type='DIRECTED' properties={'keywords': '"contrast, warmth"', 'description': '"Camden Town serves as a location representing warmth and family contrast to Scrooge\'s loneliness."', 'weight': 6.0, 'source_id': 'chunk-d9aac3484185ac66045df92214d245d5'}> -2024-10-30 05:41:22,629 - lightrag - INFO - _check_edge_existence:query:MATCH (a:`THE CANDLE`)-[r]-(b:`THE FOG AND FROST`) RETURN COUNT(r) > 0 AS edgeExists:result:True -2024-10-30 05:41:22,766 - lightrag - INFO - get_edge:query: - MATCH (source:`THE CANDLE`)-[r]-(target:`THE FOG AND FROST`) - RETURN r - :result:, ) type='DIRECTED' properties={'keywords': '"hope, contrast"', 'description': '"The Candle symbolizes a flicker of warmth and hope in the bleak setting of Fog and Frost, contrasting the overall atmosphere."', 'weight': 6.0, 'source_id': 'chunk-d9aac3484185ac66045df92214d245d5'}> -2024-10-30 05:41:22,908 - lightrag - INFO - _check_edge_existence:query:MATCH (a:`SCROOGE`)-[r]-(b:`THE HOUSE`) RETURN COUNT(r) > 0 AS edgeExists:result:True -2024-10-30 05:41:23,048 - lightrag - INFO - get_edge:query: - MATCH (source:`SCROOGE`)-[r]-(target:`THE HOUSE`) - RETURN r - :result:, ) type='DIRECTED' properties={'keywords': '"haunting, setting influence"', 'description': '"Scrooge\'s experiences with Marley\'s Ghost occur within The House, which plays a crucial role in the haunting atmosphere."', 'weight': 8.0, 'source_id': 'chunk-9c43dac2fcd5b578242d907ea6f8fc7b'}> -2024-10-30 05:41:23,196 - lightrag - INFO - _check_edge_existence:query:MATCH (a:`MARLEY`)-[r]-(b:`THE GHOST`) RETURN COUNT(r) > 0 AS edgeExists:result:True -2024-10-30 05:41:23,331 - lightrag - INFO - get_edge:query: - MATCH (source:`MARLEY`)-[r]-(target:`THE GHOST`) - RETURN r - :result:, ) type='DIRECTED' properties={'keywords': '"haunting, past choices"', 'description': '"Marley is the embodiment of The Ghost that appears to Scrooge, representing past choices and the consequences of his actions."', 'weight': 9.0, 'source_id': 'chunk-9c43dac2fcd5b578242d907ea6f8fc7b'}> -2024-10-30 05:41:23,476 - lightrag - INFO - _check_edge_existence:query:MATCH (a:`SCROOGE`)-[r]-(b:`THE BELL`) RETURN COUNT(r) > 0 AS edgeExists:result:True -2024-10-30 05:41:23,613 - lightrag - INFO - get_edge:query: - MATCH (source:`SCROOGE`)-[r]-(target:`THE BELL`) - RETURN r - :result:, ) type='DIRECTED' properties={'keywords': '"foreboding, supernatural"', 'description': '"The Bell\'s movement and sound foreshadow Marley\'s Ghost\'s appearance, enhancing the sense of impending supernatural activity in Scrooge\'s environment."', 'weight': 8.0, 'source_id': 'chunk-9c43dac2fcd5b578242d907ea6f8fc7b'}> -2024-10-30 05:41:23,755 - lightrag - INFO - _check_edge_existence:query:MATCH (a:`MARLEY`)-[r]-(b:`THE HEAVY CHAIN`) RETURN COUNT(r) > 0 AS edgeExists:result:True -2024-10-30 05:41:23,893 - lightrag - INFO - get_edge:query: - MATCH (source:`MARLEY`)-[r]-(target:`THE HEAVY CHAIN`) - RETURN r - :result:, ) type='DIRECTED' properties={'keywords': '"burden, consequence"', 'description': '"The Heavy Chain is linked to Marley as it suggests the burdens he carries from his earthly life, which he now haunts Scrooge with."', 'weight': 9.0, 'source_id': 'chunk-9c43dac2fcd5b578242d907ea6f8fc7b'}> -2024-10-30 05:41:24,037 - lightrag - INFO - _check_edge_existence:query:MATCH (a:`SCROOGE`)-[r]-(b:`THE WINE-MERCHANT'S CELLAR`) RETURN COUNT(r) > 0 AS edgeExists:result:True -2024-10-30 05:41:24,177 - lightrag - INFO - get_edge:query: - MATCH (source:`SCROOGE`)-[r]-(target:`THE WINE-MERCHANT'S CELLAR`) - RETURN r - :result:, ) type='DIRECTED' properties={'keywords': '"atmosphere, haunting"', 'description': '"Scrooge hears the dragging chains from The Wine-Merchant\'s Cellar, indicating that the haunting presence is felt throughout The House."', 'weight': 8.0, 'source_id': 'chunk-9c43dac2fcd5b578242d907ea6f8fc7b'}> -2024-10-30 05:41:24,321 - lightrag - INFO - _check_edge_existence:query:MATCH (a:`SCROOGE`)-[r]-(b:`THE GRATE`) RETURN COUNT(r) > 0 AS edgeExists:result:True -2024-10-30 05:41:24,464 - lightrag - INFO - get_edge:query: - MATCH (source:`SCROOGE`)-[r]-(target:`THE GRATE`) - RETURN r - :result:, ) type='DIRECTED' properties={'keywords': '"isolation, setting mood"', 'description': '"The Grate\'s cold fire adds to the bleak setting of Scrooge\'s home, illustrating his disconnection from warmth and comfort before the supernatural events unfold."', 'weight': 6.0, 'source_id': 'chunk-9c43dac2fcd5b578242d907ea6f8fc7b'}> -2024-10-30 05:41:24,605 - lightrag - INFO - _check_edge_existence:query:MATCH (a:`SCROOGE`)-[r]-(b:`THE DYING FLAME`) RETURN COUNT(r) > 0 AS edgeExists:result:True -2024-10-30 05:41:24,745 - lightrag - INFO - get_edge:query: - MATCH (source:`SCROOGE`)-[r]-(target:`THE DYING FLAME`) - RETURN r - :result:, ) type='DIRECTED' properties={'keywords': '"fear, conflict"', 'description': '"The Dying Flame\'s flickering is reflective of Scrooge\'s fear and mental state in the presence of the ghost, amplifying his internal conflict."', 'weight': 8.0, 'source_id': 'chunk-9c43dac2fcd5b578242d907ea6f8fc7b'}> -2024-10-30 05:41:24,887 - lightrag - INFO - _check_edge_existence:query:MATCH (a:`MARLEY'S GHOST`)-[r]-(b:`SCROOGE`) RETURN COUNT(r) > 0 AS edgeExists:result:True -2024-10-30 05:41:25,024 - lightrag - INFO - get_edge:query: - MATCH (source:`MARLEY'S GHOST`)-[r]-(target:`SCROOGE`) - RETURN r - :result:, ) type='DIRECTED' properties={'keywords': '"supernatural confrontation, regret""warning, fate"', 'description': '"Marley\'s Ghost warns Scrooge about the consequences of his actions and the visits of the three spirits, setting the stage for his transformation.""Scrooge is haunted by Marley\'s Ghost, which confronts him as a part of a supernatural occurrence meant to incite fear and reflection on his life choices."', 'weight': 18.0, 'source_id': 'chunk-9c43dac2fcd5b578242d907ea6f8fc7bchunk-cb661c37436355ccec2769b1d0350c5f'}> -2024-10-30 05:41:25,171 - lightrag - INFO - _check_edge_existence:query:MATCH (a:`JACOB MARLEY`)-[r]-(b:`MARLEY'S GHOST`) RETURN COUNT(r) > 0 AS edgeExists:result:True -2024-10-30 05:41:25,332 - lightrag - INFO - get_edge:query: - MATCH (source:`JACOB MARLEY`)-[r]-(target:`MARLEY'S GHOST`) - RETURN r - :result:, ) type='DIRECTED' properties={'keywords': '"past partnership, redemption"', 'description': '"Jacob Marley is the entity represented by Marley\'s Ghost, embodying the warning about the repercussions of a life focused solely on material gain."', 'weight': 9.0, 'source_id': 'chunk-1aa50206d02ed89418f65f97c6441d1c'}> -2024-10-30 05:41:25,475 - lightrag - INFO - _check_edge_existence:query:MATCH (a:`GHOST`)-[r]-(b:`SCROOGE`) RETURN COUNT(r) > 0 AS edgeExists:result:True -2024-10-30 05:41:25,615 - lightrag - INFO - get_edge:query: - MATCH (source:`GHOST`)-[r]-(target:`SCROOGE`) - RETURN r - :result:, ) type='DIRECTED' properties={'keywords': '"reflection, self-discovery""spiritual guidance, transformation"', 'description': '"The Ghost guides Scrooge through reflections of his past, influencing his journey toward redemption.""The Ghost takes Scrooge on a journey to teach him lessons about generosity and compassion towards others."', 'weight': 17.0, 'source_id': 'chunk-c6c248858d1b13ab7ee9ca13c1aeed6bchunk-e7637ff18c5ded77a68cce0a87883fad'}> -2024-10-30 05:41:25,761 - lightrag - INFO - _check_edge_existence:query:MATCH (a:`GHOST`)-[r]-(b:`JACOB MARLEY`) RETURN COUNT(r) > 0 AS edgeExists:result:True -2024-10-30 05:41:25,901 - lightrag - INFO - get_edge:query: - MATCH (source:`GHOST`)-[r]-(target:`JACOB MARLEY`) - RETURN r - :result:, ) type='DIRECTED' properties={'keywords': '"identity, remorse"', 'description': '"The Ghost is revealed to be Jacob Marley, who embodies the regret of a wasted life and the importance of personal responsibility."', 'weight': 10.0, 'source_id': 'chunk-359187e7571bda4b0b08b2e0b6581e52'}> -2024-10-30 05:41:26,046 - lightrag - INFO - _check_edge_existence:query:MATCH (a:`JACOB MARLEY`)-[r]-(b:`SCROOGE`) RETURN COUNT(r) > 0 AS edgeExists:result:True -2024-10-30 05:41:26,183 - lightrag - INFO - get_edge:query: - MATCH (source:`JACOB MARLEY`)-[r]-(target:`SCROOGE`) - RETURN r - :result:, ) type='DIRECTED' properties={'keywords': '"catalyst for change, supernatural guidance""past influence, warning""redemption, moral lesson""supernatural encounter, past ties""transformation, influence""warning, transformation"', 'description': '"Jacob Marley is the spirit who brings forth the need for Scrooge to change his ways, impacting his character development.""Scrooge confronts Jacob Marley, his former business partner, who returns as a ghost to influence Scrooge\'s perspective on life and his actions.""Scrooge converses with the ghost of Jacob Marley, who tries to guide him toward understanding the importance of compassion and the consequences of his actions.""Scrooge interacts with Jacob Marley, who serves as a critical warning for Scrooge to change his ways before it\'s too late.""Scrooge reflects on Jacob Marley’s past warnings, which serve as a catalyst for his transformation.""Scrooge\'s transformation is prompted by the appearance and message of Jacob Marley, his former business partner."', 'weight': 54.0, 'source_id': 'chunk-90b95db5c53e4364a6bee36b7aa4d70fchunk-1aa50206d02ed89418f65f97c6441d1cchunk-02baee20cc9463dbe08170a8e1043e32chunk-91572b3cd42786ba4cb2f180ca25cbf4chunk-da2472b4ef2a535b62908f14d0fb0ca9chunk-359187e7571bda4b0b08b2e0b6581e52'}> -2024-10-30 05:41:26,343 - lightrag - INFO - _check_edge_existence:query:MATCH (a:`GHOST`)-[r]-(b:`MANKIND`) RETURN COUNT(r) > 0 AS edgeExists:result:True -2024-10-30 05:41:26,501 - lightrag - INFO - get_edge:query: - MATCH (source:`GHOST`)-[r]-(target:`MANKIND`) - RETURN r - :result:, ) type='DIRECTED' properties={'keywords': '"moral duty, call to action"', 'description': '"The Ghost emphasizes that Mankind was his true business in life, urging Scrooge to focus on the welfare of others."', 'weight': 9.0, 'source_id': 'chunk-359187e7571bda4b0b08b2e0b6581e52'}> -2024-10-30 05:41:26,646 - lightrag - INFO - _check_edge_existence:query:MATCH (a:`CHRISTMAS EVES`)-[r]-(b:`SCROOGE`) RETURN COUNT(r) > 0 AS edgeExists:result:True -2024-10-30 05:41:26,783 - lightrag - INFO - get_edge:query: - MATCH (source:`CHRISTMAS EVES`)-[r]-(target:`SCROOGE`) - RETURN r - :result:, ) type='DIRECTED' properties={'keywords': '"time of reflection, redemption"', 'description': '"Christmas Eves symbolize a critical time for self-reflection and understanding one\'s past decisions, linking to Scrooge\'s journey of redemption."', 'weight': 7.0, 'source_id': 'chunk-359187e7571bda4b0b08b2e0b6581e52'}> -2024-10-30 05:41:26,930 - lightrag - INFO - _check_edge_existence:query:MATCH (a:`ETERNAL CHAIN`)-[r]-(b:`GHOST`) RETURN COUNT(r) > 0 AS edgeExists:result:True -2024-10-30 05:41:27,070 - lightrag - INFO - get_edge:query: - MATCH (source:`ETERNAL CHAIN`)-[r]-(target:`GHOST`) - RETURN r - :result:, ) type='DIRECTED' properties={'keywords': '"burden, regret"', 'description': '"The Ghost describes the Eternal Chain as a symbol of the burdens he carries due to his life choices, emphasizing the consequences of neglecting humanity."', 'weight': 9.0, 'source_id': 'chunk-359187e7571bda4b0b08b2e0b6581e52'}> -2024-10-30 05:41:27,211 - lightrag - INFO - _check_edge_existence:query:MATCH (a:`STAR`)-[r]-(b:`WISE MEN`) RETURN COUNT(r) > 0 AS edgeExists:result:True -2024-10-30 05:41:27,352 - lightrag - INFO - get_edge:query: - MATCH (source:`STAR`)-[r]-(target:`WISE MEN`) - RETURN r - :result:, ) type='DIRECTED' properties={'keywords': '"guidance, generosity"', 'description': '"The Star guided the Wise Men to recognize the importance of giving, which relates to the values that the Ghost tries to impart to Scrooge."', 'weight': 7.0, 'source_id': 'chunk-359187e7571bda4b0b08b2e0b6581e52'}> -2024-10-30 05:41:27,499 - lightrag - INFO - _check_edge_existence:query:MATCH (a:`FELLOW-BEINGS`)-[r]-(b:`SCROOGE`) RETURN COUNT(r) > 0 AS edgeExists:result:True -2024-10-30 05:41:27,637 - lightrag - INFO - get_edge:query: - MATCH (source:`FELLOW-BEINGS`)-[r]-(target:`SCROOGE`) - RETURN r - :result:, ) type='DIRECTED' properties={'keywords': '"neglect, realization"', 'description': '"Scrooge is confronted with his past choices to ignore Fellow-beings, leading to a realization of his moral failures."', 'weight': 8.0, 'source_id': 'chunk-359187e7571bda4b0b08b2e0b6581e52'}> -2024-10-30 05:41:27,779 - lightrag - INFO - _check_edge_existence:query:MATCH (a:`CHRISTMAS SPIRIT`)-[r]-(b:`GHOST`) RETURN COUNT(r) > 0 AS edgeExists:result:True -2024-10-30 05:41:27,918 - lightrag - INFO - get_edge:query: - MATCH (source:`CHRISTMAS SPIRIT`)-[r]-(target:`GHOST`) - RETURN r - :result:, ) type='DIRECTED' properties={'keywords': '"values, transformation"', 'description': '"The Ghost embodies the Christmas Spirit\'s values of compassion and kindness, urging Scrooge to reconsider his way of living."', 'weight': 9.0, 'source_id': 'chunk-359187e7571bda4b0b08b2e0b6581e52'}> -2024-10-30 05:41:28,058 - lightrag - INFO - _check_edge_existence:query:MATCH (a:`GHOST`)-[r]-(b:`SPECTRE`) RETURN COUNT(r) > 0 AS edgeExists:result:True -2024-10-30 05:41:28,197 - lightrag - INFO - get_edge:query: - MATCH (source:`GHOST`)-[r]-(target:`SPECTRE`) - RETURN r - :result:, ) type='DIRECTED' properties={'keywords': '"identity, motivation"', 'description': '"The Spectre is synonymous with the Ghost, representing the collective spirit urging Scrooge to change his ways."', 'weight': 10.0, 'source_id': 'chunk-359187e7571bda4b0b08b2e0b6581e52'}> -2024-10-30 05:41:28,342 - lightrag - INFO - _check_edge_existence:query:MATCH (a:`JACOB MARLEY`)-[r]-(b:`THE THREE SPIRITS`) RETURN COUNT(r) > 0 AS edgeExists:result:True -2024-10-30 05:41:28,479 - lightrag - INFO - get_edge:query: - MATCH (source:`JACOB MARLEY`)-[r]-(target:`THE THREE SPIRITS`) - RETURN r - :result:, ) type='DIRECTED' properties={'keywords': '"guidance, redemption"', 'description': '"Jacob Marley indicates that Scrooge will be visited by The Three Spirits to offer him guidance and the chance for redemption."', 'weight': 8.0, 'source_id': 'chunk-cb661c37436355ccec2769b1d0350c5f'}> -2024-10-30 05:41:28,622 - lightrag - INFO - _check_edge_existence:query:MATCH (a:`SCROOGE`)-[r]-(b:`THE GHOST`) RETURN COUNT(r) > 0 AS edgeExists:result:True -2024-10-30 05:41:28,760 - lightrag - INFO - get_edge:query: - MATCH (source:`SCROOGE`)-[r]-(target:`THE GHOST`) - RETURN r - :result:, ) type='DIRECTED' properties={'keywords': '"guidance, transformation""memory, influence""reflection, guidance""self-reflection, transformation"', 'description': '"Scrooge\'s engagement with The Ghost prompts a significant emotional and psychological transformation as he confronts his past.""The Ghost guides Scrooge through visions of his past, forcing him to confront his choices and their consequences.""The Ghost influences Scrooge\'s reflections on his past and his current emotions regarding Christmas festivities.""The Ghost serves as a catalyst for Scrooge\'s reflections, guiding him to confront his past and feelings about Christmas."', 'weight': 35.0, 'source_id': 'chunk-da2472b4ef2a535b62908f14d0fb0ca9chunk-43c9bee23adfa77aa9dedd22401bba7dchunk-54bdd22db1f84a965b5f4c06c9216d8dchunk-8590d9263cd2cd4fa583c432fc54e6c3'}> -2024-10-30 05:41:28,902 - lightrag - INFO - _check_edge_existence:query:MATCH (a:`SCROOGE`)-[r]-(b:`THE PHANTOM VOICES`) RETURN COUNT(r) > 0 AS edgeExists:result:True -2024-10-30 05:41:29,047 - lightrag - INFO - get_edge:query: - MATCH (source:`SCROOGE`)-[r]-(target:`THE PHANTOM VOICES`) - RETURN r - :result:, ) type='DIRECTED' properties={'keywords': '"regret, lost opportunities"', 'description': '"Scrooge hears the lamentations of The Phantom Voices, reflecting his connection to the spirits of the lost and the consequences of his life choices."', 'weight': 6.0, 'source_id': 'chunk-cb661c37436355ccec2769b1d0350c5f'}> -2024-10-30 05:41:29,190 - lightrag - INFO - _check_edge_existence:query:MATCH (a:`SCROOGE`)-[r]-(b:`THE WINDOW`) RETURN COUNT(r) > 0 AS edgeExists:result:True -2024-10-30 05:41:29,331 - lightrag - INFO - get_edge:query: - MATCH (source:`SCROOGE`)-[r]-(target:`THE WINDOW`) - RETURN r - :result:, ) type='DIRECTED' properties={'keywords': '"curiosity, fear"', 'description': '"Scrooge approaches The Window, which acts as a portal to the outside world and the supernatural, illustrating his curiosity and fear."', 'weight': 5.0, 'source_id': 'chunk-cb661c37436355ccec2769b1d0350c5f'}> -2024-10-30 05:41:29,473 - lightrag - INFO - _check_edge_existence:query:MATCH (a:`MARLEY'S GHOST`)-[r]-(b:`THE CHAIN`) RETURN COUNT(r) > 0 AS edgeExists:result:True -2024-10-30 05:41:29,612 - lightrag - INFO - get_edge:query: - MATCH (source:`MARLEY'S GHOST`)-[r]-(target:`THE CHAIN`) - RETURN r - :result:, ) type='DIRECTED' properties={'keywords': '"regret, warning"', 'description': '"Marley\'s Ghost is bound by The Chain, which symbolizes his regrets and serves as a warning to Scrooge about the consequences of his own actions."', 'weight': 9.0, 'source_id': 'chunk-cb661c37436355ccec2769b1d0350c5f'}> -2024-10-30 05:41:29,753 - lightrag - INFO - _check_edge_existence:query:MATCH (a:`SCROOGE`)-[r]-(b:`THE CLOCK`) RETURN COUNT(r) > 0 AS edgeExists:result:True -2024-10-30 05:41:29,895 - lightrag - INFO - get_edge:query: - MATCH (source:`SCROOGE`)-[r]-(target:`THE CLOCK`) - RETURN r - :result:, ) type='DIRECTED' properties={'keywords': '"time distortion, confusion"', 'description': '"Scrooge\'s interaction with the faulty clock symbolizes his disconnection from time and reality, as he struggles to comprehend his experiences."', 'weight': 6.0, 'source_id': 'chunk-cb661c37436355ccec2769b1d0350c5f'}> -2024-10-30 05:41:30,037 - lightrag - INFO - _check_edge_existence:query:MATCH (a:`SCROOGE`)-[r]-(b:`THE DARKNESS`) RETURN COUNT(r) > 0 AS edgeExists:result:True -2024-10-30 05:41:30,179 - lightrag - INFO - get_edge:query: - MATCH (source:`SCROOGE`)-[r]-(target:`THE DARKNESS`) - RETURN r - :result:, ) type='DIRECTED' properties={'keywords': '"internal struggle, unknown"', 'description': '"Scrooge finds himself enveloped by The Darkness, representing his internal struggle and the unknown future he faces."', 'weight': 6.0, 'source_id': 'chunk-cb661c37436355ccec2769b1d0350c5f'}> -2024-10-30 05:41:30,325 - lightrag - INFO - _check_edge_existence:query:MATCH (a:`CLOCK`)-[r]-(b:`SCROOGE`) RETURN COUNT(r) > 0 AS edgeExists:result:True -2024-10-30 05:41:30,468 - lightrag - INFO - get_edge:query: - MATCH (source:`CLOCK`)-[r]-(target:`SCROOGE`) - RETURN r - :result:, ) type='DIRECTED' properties={'keywords': '"time symbolism, anxiety"', 'description': '"Scrooge\'s observations of the Clock reflect his anxiety over time and the supernatural events unfolding around him."', 'weight': 7.0, 'source_id': 'chunk-c7b10789a9cb0af6c553730b29bd9034'}> -2024-10-30 05:41:30,615 - lightrag - INFO - _check_edge_existence:query:MATCH (a:`SCROOGE`)-[r]-(b:`SPIRIT`) RETURN COUNT(r) > 0 AS edgeExists:result:True -2024-10-30 05:41:30,762 - lightrag - INFO - get_edge:query: - MATCH (source:`SCROOGE`)-[r]-(target:`SPIRIT`) - RETURN r - :result:, ) type='DIRECTED' properties={'keywords': '"guidance, emotional journey""guidance, transformation""personal growth, spiritual journey""reflection, guidance"', 'description': '"Scrooge engages with the Spirit, who guides him through reflections on his life and warns him of societal issues.""Scrooge learns from the Spirit about the consequences of his actions and the sentiments evoked by death, leading to personal growth.""Scrooge’s interaction with the Spirit emphasizes the emotional weight of his past decisions and feelings as they relate to his transformation.""The Spirit directly influences Scrooge’s transformation and highlights the importance of compassion in human life."', 'weight': 34.0, 'source_id': 'chunk-02baee20cc9463dbe08170a8e1043e32chunk-bb21d58d36c6306fd8810ddd51c4a971chunk-83ac129dc9b56f84c46760d153d68e93chunk-e7637ff18c5ded77a68cce0a87883fad'}> -2024-10-30 05:41:30,914 - lightrag - INFO - _check_edge_existence:query:MATCH (a:`GHOST OF CHRISTMAS PAST`)-[r]-(b:`WINTER DAY`) RETURN COUNT(r) > 0 AS edgeExists:result:True -2024-10-30 05:41:31,059 - lightrag - INFO - get_edge:query: - MATCH (source:`GHOST OF CHRISTMAS PAST`)-[r]-(target:`WINTER DAY`) - RETURN r - :result:, ) type='DIRECTED' properties={'keywords': '"nostalgia, memory"', 'description': '"The Ghost leads Scrooge to experience a winter day from his memories, emphasizing feelings of nostalgia and longing."', 'weight': 9.0, 'source_id': 'chunk-bb21d58d36c6306fd8810ddd51c4a971'}> -2024-10-30 05:41:31,202 - lightrag - INFO - _check_edge_existence:query:MATCH (a:`MARKET-TOWN`)-[r]-(b:`SCROOGE`) RETURN COUNT(r) > 0 AS edgeExists:result:True -2024-10-30 05:41:31,340 - lightrag - INFO - get_edge:query: - MATCH (source:`MARKET-TOWN`)-[r]-(target:`SCROOGE`) - RETURN r - :result:, ) type='DIRECTED' properties={'keywords': '"nostalgia, memory"', 'description': '"Scrooge recognizes the Market-Town, eliciting fond memories from his childhood and emphasizing his emotional response to the past."', 'weight': 7.0, 'source_id': 'chunk-bb21d58d36c6306fd8810ddd51c4a971'}> -2024-10-30 05:41:31,485 - lightrag - INFO - _check_edge_existence:query:MATCH (a:`BOYS`)-[r]-(b:`SCROOGE`) RETURN COUNT(r) > 0 AS edgeExists:result:True -2024-10-30 05:41:31,622 - lightrag - INFO - get_edge:query: - MATCH (source:`BOYS`)-[r]-(target:`SCROOGE`) - RETURN r - :result:, ) type='DIRECTED' properties={'keywords': '"joy, childhood memories"', 'description': '"Scrooge feels joy upon seeing the boys, evoking memories of childhood experiences and emotions associated with them."', 'weight': 7.0, 'source_id': 'chunk-bb21d58d36c6306fd8810ddd51c4a971'}> -2024-10-30 05:41:31,765 - lightrag - INFO - _check_edge_existence:query:MATCH (a:`BOYS`)-[r]-(b:`SHAGGY PONIES`) RETURN COUNT(r) > 0 AS edgeExists:result:True -2024-10-30 05:41:31,916 - lightrag - INFO - get_edge:query: - MATCH (source:`BOYS`)-[r]-(target:`SHAGGY PONIES`) - RETURN r - :result:, ) type='DIRECTED' properties={'keywords': '"playfulness, childhood"', 'description': '"The boys interact with the shaggy ponies, highlighting the carefree and playful nature of youth in Scrooge\'s memories."', 'weight': 6.0, 'source_id': 'chunk-bb21d58d36c6306fd8810ddd51c4a971'}> -2024-10-30 05:41:32,064 - lightrag - INFO - _check_edge_existence:query:MATCH (a:`BRIDGE`)-[r]-(b:`SCROOGE`) RETURN COUNT(r) > 0 AS edgeExists:result:True -2024-10-30 05:41:32,202 - lightrag - INFO - get_edge:query: - MATCH (source:`BRIDGE`)-[r]-(target:`SCROOGE`) - RETURN r - :result:, ) type='DIRECTED' properties={'keywords': '"memory, landmark"', 'description': '"The bridge serves as a significant landmark in Scrooge\'s past, reminding him of his childhood and former happiness."', 'weight': 7.0, 'source_id': 'chunk-bb21d58d36c6306fd8810ddd51c4a971'}> -2024-10-30 05:41:32,343 - lightrag - INFO - _check_edge_existence:query:MATCH (a:`CHURCH`)-[r]-(b:`SCROOGE`) RETURN COUNT(r) > 0 AS edgeExists:result:True -2024-10-30 05:41:32,486 - lightrag - INFO - get_edge:query: - MATCH (source:`CHURCH`)-[r]-(target:`SCROOGE`) - RETURN r - :result:, ) type='DIRECTED' properties={'keywords': '"community, contrast"', 'description': '"The church symbolizes the community and settings of Scrooge\'s past, highlighting the contrast between then and now."', 'weight': 8.0, 'source_id': 'chunk-bb21d58d36c6306fd8810ddd51c4a971'}> -2024-10-30 05:41:32,629 - lightrag - INFO - _check_edge_existence:query:MATCH (a:`SCROOGE`)-[r]-(b:`WINDING RIVER`) RETURN COUNT(r) > 0 AS edgeExists:result:True -2024-10-30 05:41:32,764 - lightrag - INFO - get_edge:query: - MATCH (source:`SCROOGE`)-[r]-(target:`WINDING RIVER`) - RETURN r - :result:, ) type='DIRECTED' properties={'keywords': '"nostalgia, memory"', 'description': '"The winding river evokes memories and emotions for Scrooge, connecting him to his past experiences and places."', 'weight': 8.0, 'source_id': 'chunk-bb21d58d36c6306fd8810ddd51c4a971'}> -2024-10-30 05:41:32,907 - lightrag - INFO - _check_edge_existence:query:MATCH (a:`GHOST OF CHRISTMAS PAST`)-[r]-(b:`SCROOGE'S MEMORIES`) RETURN COUNT(r) > 0 AS edgeExists:result:True -2024-10-30 05:41:33,045 - lightrag - INFO - get_edge:query: - MATCH (source:`GHOST OF CHRISTMAS PAST`)-[r]-(target:`SCROOGE'S MEMORIES`) - RETURN r - :result:, ) type='DIRECTED' properties={'keywords': '"memory, confrontation"', 'description': '"The Ghost facilitates Scrooge\'s recollection of his memories, allowing him to confront his past choices."', 'weight': 9.0, 'source_id': 'chunk-bb21d58d36c6306fd8810ddd51c4a971'}> -2024-10-30 05:41:33,187 - lightrag - INFO - _check_edge_existence:query:MATCH (a:`SCROOGE`)-[r]-(b:`THE SPIRIT`) RETURN COUNT(r) > 0 AS edgeExists:result:True -2024-10-30 05:41:33,325 - lightrag - INFO - get_edge:query: - MATCH (source:`SCROOGE`)-[r]-(target:`THE SPIRIT`) - RETURN r - :result:, ) type='DIRECTED' properties={'keywords': '"guidance, transformation""moral guidance, transformation""self-reflection, transformation""supernatural guidance, self-reflection""supernatural intervention, guidance"', 'description': '"Scrooge engages with the Spirit as it reveals memories that prompt significant self-reflection and consideration of change.""Scrooge is guided by the Spirit, who shows him different scenes related to the joy and struggles of Christmas, aiming to change his heart.""The Spirit challenges Scrooge\'s perspective on life, urging him to consider the implications of his actions in light of death.""The Spirit represents an upcoming change in Scrooge\'s life, aiming to guide him towards redemption.""The Spirit represents moral lessons and urges Scrooge to change his ways for a better future."', 'weight': 47.0, 'source_id': 'chunk-b2f98bc7abb0c67d4c86055c7fd72218chunk-e1f29eeadc1d8ab46dc8a0bbd3c56b64chunk-91572b3cd42786ba4cb2f180ca25cbf4chunk-da2472b4ef2a535b62908f14d0fb0ca9chunk-91614df5cb74cbe5e109a338a82041e9'}> -2024-10-30 05:41:33,469 - lightrag - INFO - _check_edge_existence:query:MATCH (a:`ALI BABA`)-[r]-(b:`SCROOGE`) RETURN COUNT(r) > 0 AS edgeExists:result:True -2024-10-30 05:41:33,606 - lightrag - INFO - get_edge:query: - MATCH (source:`ALI BABA`)-[r]-(target:`SCROOGE`) - RETURN r - :result:, ) type='DIRECTED' properties={'keywords': '"nostalgia, childhood stories"', 'description': '"Scrooge recalls Ali Baba while reflecting on memories of Christmas, indicating a strong personal connection to the story and its impact on him."', 'weight': 8.0, 'source_id': 'chunk-8590d9263cd2cd4fa583c432fc54e6c3'}> -2024-10-30 05:41:33,747 - lightrag - INFO - _check_edge_existence:query:MATCH (a:`SCROOGE`)-[r]-(b:`VALENTINE`) RETURN COUNT(r) > 0 AS edgeExists:result:True -2024-10-30 05:41:33,882 - lightrag - INFO - get_edge:query: - MATCH (source:`SCROOGE`)-[r]-(target:`VALENTINE`) - RETURN r - :result:, ) type='DIRECTED' properties={'keywords': '"family memories, nostalgia"', 'description': '"Scrooge\'s mention of Valentine signifies his memories of familial ties and childhood experiences during Christmas."', 'weight': 6.0, 'source_id': 'chunk-8590d9263cd2cd4fa583c432fc54e6c3'}> -2024-10-30 05:41:34,023 - lightrag - INFO - _check_edge_existence:query:MATCH (a:`ORSON`)-[r]-(b:`VALENTINE`) RETURN COUNT(r) > 0 AS edgeExists:result:True -2024-10-30 05:41:34,161 - lightrag - INFO - get_edge:query: - MATCH (source:`ORSON`)-[r]-(target:`VALENTINE`) - RETURN r - :result:, ) type='DIRECTED' properties={'keywords': '"family, nostalgia"', 'description': '"Orson and Valentine are brothers in the stories remembered by Scrooge, representing familial bonds in his past."', 'weight': 8.0, 'source_id': 'chunk-8590d9263cd2cd4fa583c432fc54e6c3'}> -2024-10-30 05:41:34,305 - lightrag - INFO - _check_edge_existence:query:MATCH (a:`CHILD`)-[r]-(b:`SCROOGE`) RETURN COUNT(r) > 0 AS edgeExists:result:True -2024-10-30 05:41:34,451 - lightrag - INFO - get_edge:query: - MATCH (source:`CHILD`)-[r]-(target:`SCROOGE`) - RETURN r - :result:, ) type='DIRECTED' properties={'keywords': '"self-reflection, past connection"', 'description': '"Scrooge sees his younger self in the solitary child, sparking deep emotional reflections about his past and choices."', 'weight': 8.0, 'source_id': 'chunk-8590d9263cd2cd4fa583c432fc54e6c3'}> -2024-10-30 05:41:34,610 - lightrag - INFO - _check_edge_existence:query:MATCH (a:`ALI BABA`)-[r]-(b:`ROBIN CRUSOE`) RETURN COUNT(r) > 0 AS edgeExists:result:True -2024-10-30 05:41:34,751 - lightrag - INFO - get_edge:query: - MATCH (source:`ALI BABA`)-[r]-(target:`ROBIN CRUSOE`) - RETURN r - :result:, ) type='DIRECTED' properties={'keywords': '"literary connection, childhood memories"', 'description': '"Both Ali Baba and Robin Crusoe represent figures from stories that shaped Scrooge\'s childhood memories and sentiments towards Christmas."', 'weight': 7.0, 'source_id': 'chunk-8590d9263cd2cd4fa583c432fc54e6c3'}> -2024-10-30 05:41:34,895 - lightrag - INFO - _check_edge_existence:query:MATCH (a:`MANSION`)-[r]-(b:`SCROOGE`) RETURN COUNT(r) > 0 AS edgeExists:result:True -2024-10-30 05:41:35,036 - lightrag - INFO - get_edge:query: - MATCH (source:`MANSION`)-[r]-(target:`SCROOGE`) - RETURN r - :result:, ) type='DIRECTED' properties={'keywords': '"symbolism, emotional state"', 'description': '"The Mansion symbolizes the neglect and decay that parallels Scrooge\'s own emotional state and memories of his past."', 'weight': 8.0, 'source_id': 'chunk-8590d9263cd2cd4fa583c432fc54e6c3'}> -2024-10-30 05:41:35,179 - lightrag - INFO - _check_edge_existence:query:MATCH (a:`MANSION`)-[r]-(b:`THE GHOST`) RETURN COUNT(r) > 0 AS edgeExists:result:True -2024-10-30 05:41:35,338 - lightrag - INFO - get_edge:query: - MATCH (source:`MANSION`)-[r]-(target:`THE GHOST`) - RETURN r - :result:, ) type='DIRECTED' properties={'keywords': '"guidance, contrast"', 'description': '"The Ghost guides Scrooge through the Mansion, illustrating the contrast between past warmth and present decay."', 'weight': 9.0, 'source_id': 'chunk-8590d9263cd2cd4fa583c432fc54e6c3'}> -2024-10-30 05:41:35,484 - lightrag - INFO - _check_edge_existence:query:MATCH (a:`FRIDAY`)-[r]-(b:`ROBIN CRUSOE`) RETURN COUNT(r) > 0 AS edgeExists:result:True -2024-10-30 05:41:35,629 - lightrag - INFO - get_edge:query: - MATCH (source:`FRIDAY`)-[r]-(target:`ROBIN CRUSOE`) - RETURN r - :result:, ) type='DIRECTED' properties={'keywords': '"friendship, adventure"', 'description': '"Friday serves alongside Robin Crusoe in the stories remembered by Scrooge, representing loyalty and friendship in adventure."', 'weight': 7.0, 'source_id': 'chunk-8590d9263cd2cd4fa583c432fc54e6c3'}> -2024-10-30 05:41:35,772 - lightrag - INFO - _check_edge_existence:query:MATCH (a:`SCROOGE`)-[r]-(b:`THE PARROT`) RETURN COUNT(r) > 0 AS edgeExists:result:True -2024-10-30 05:41:35,908 - lightrag - INFO - get_edge:query: - MATCH (source:`SCROOGE`)-[r]-(target:`THE PARROT`) - RETURN r - :result:, ) type='DIRECTED' properties={'keywords': '"nostalgia, whimsy"', 'description': '"Scrooge recalls the Parrot associated with his memories of Robin Crusoe, highlighting the whimsical and nostalgic aspects of his reflections."', 'weight': 6.0, 'source_id': 'chunk-8590d9263cd2cd4fa583c432fc54e6c3'}> -2024-10-30 05:41:36,051 - lightrag - INFO - _check_edge_existence:query:MATCH (a:`CHILD`)-[r]-(b:`THE SPIRIT`) RETURN COUNT(r) > 0 AS edgeExists:result:True -2024-10-30 05:41:36,189 - lightrag - INFO - get_edge:query: - MATCH (source:`CHILD`)-[r]-(target:`THE SPIRIT`) - RETURN r - :result:, ) type='DIRECTED' properties={'keywords': '"remembrance, neglect"', 'description': '"The Spirit points Scrooge to the Child, emphasizing themes of neglect, remembrance, and the importance of past experiences."', 'weight': 8.0, 'source_id': 'chunk-8590d9263cd2cd4fa583c432fc54e6c3'}> -2024-10-30 05:41:36,351 - lightrag - INFO - _check_edge_existence:query:MATCH (a:`DICK WILKINS`)-[r]-(b:`FEZZIWIG`) RETURN COUNT(r) > 0 AS edgeExists:result:True -2024-10-30 05:41:36,494 - lightrag - INFO - get_edge:query: - MATCH (source:`DICK WILKINS`)-[r]-(target:`FEZZIWIG`) - RETURN r - :result:, ) type='DIRECTED' properties={'keywords': '"apprenticeship, camaraderie"', 'description': '"Fezziwig and Dick Wilkins are connected through their roles in Scrooge\'s past, representing camaraderie and joyful experiences at work."', 'weight': 7.0, 'source_id': 'chunk-c6c248858d1b13ab7ee9ca13c1aeed6b'}> -2024-10-30 05:41:36,640 - lightrag - INFO - _check_edge_existence:query:MATCH (a:`DICK WILKINS`)-[r]-(b:`SCROOGE`) RETURN COUNT(r) > 0 AS edgeExists:result:True -2024-10-30 05:41:36,781 - lightrag - INFO - get_edge:query: - MATCH (source:`DICK WILKINS`)-[r]-(target:`SCROOGE`) - RETURN r - :result:, ) type='DIRECTED' properties={'keywords': '"friendship, apprenticeship"', 'description': '"Scrooge recalls his friendship with Dick Wilkins, highlighting the connections of youth and support during their apprenticeship."', 'weight': 7.0, 'source_id': 'chunk-c6c248858d1b13ab7ee9ca13c1aeed6b'}> -2024-10-30 05:41:36,931 - lightrag - INFO - _check_edge_existence:query:MATCH (a:`CHRISTMAS-TIME`)-[r]-(b:`SCROOGE`) RETURN COUNT(r) > 0 AS edgeExists:result:True -2024-10-30 05:41:37,067 - lightrag - INFO - get_edge:query: - MATCH (source:`CHRISTMAS-TIME`)-[r]-(target:`SCROOGE`) - RETURN r - :result:, ) type='DIRECTED' properties={'keywords': '"cynicism, holiday spirit conflict"', 'description': '"Scrooge views Christmas-time as a burden rather than a celebration, contrasting with the feelings of others around him."', 'weight': 9.0, 'source_id': 'chunk-5dac41b3f9eeaf794f0147400b1718cd'}> -2024-10-30 05:41:37,212 - lightrag - INFO - _check_edge_existence:query:MATCH (a:`SCROOGE`)-[r]-(b:`THE CITY`) RETURN COUNT(r) > 0 AS edgeExists:result:True -2024-10-30 05:41:37,355 - lightrag - INFO - get_edge:query: - MATCH (source:`SCROOGE`)-[r]-(target:`THE CITY`) - RETURN r - :result:, ) type='DIRECTED' properties={'keywords': '"disconnection, personal evolution""reflection, urban life"', 'description': '"Scrooge\'s reflections in the City highlight his relationship with his past and the contrast of his current life.""Scrooge\'s relationship with The City is marked by detachment, representing his lost connection to his past self and experiences."', 'weight': 10.0, 'source_id': 'chunk-bb21d58d36c6306fd8810ddd51c4a971chunk-c6c248858d1b13ab7ee9ca13c1aeed6b'}> -2024-10-30 05:41:37,496 - lightrag - INFO - _check_edge_existence:query:MATCH (a:`DICK WILKINS`)-[r]-(b:`EBENEZER SCROOGE`) RETURN COUNT(r) > 0 AS edgeExists:result:True -2024-10-30 05:41:37,634 - lightrag - INFO - get_edge:query: - MATCH (source:`DICK WILKINS`)-[r]-(target:`EBENEZER SCROOGE`) - RETURN r - :result:, ) type='DIRECTED' properties={'keywords': '"nostalgia, past friendship"', 'description': '"Scrooge remembers Dick Wilkins fondly, showing a connection from their past as apprentices together."', 'weight': 8.0, 'source_id': 'chunk-8bc1edd983869352d14cf0886a9175a7'}> -2024-10-30 05:41:37,776 - lightrag - INFO - _check_edge_existence:query:MATCH (a:`EBENEZER SCROOGE`)-[r]-(b:`FEZZIWIG`) RETURN COUNT(r) > 0 AS edgeExists:result:True -2024-10-30 05:41:37,915 - lightrag - INFO - get_edge:query: - MATCH (source:`EBENEZER SCROOGE`)-[r]-(target:`FEZZIWIG`) - RETURN r - :result:, ) type='DIRECTED' properties={'keywords': '"mentorship, celebration""reflection, mentorship"', 'description': '"Fezziwig created a memorable and joyful atmosphere for Scrooge and his fellow apprentices during the celebration.""Scrooge reflects on his positive memories of Fezziwig, contributing to the theme of mentorship and joy in the past."', 'weight': 17.0, 'source_id': 'chunk-8bc1edd983869352d14cf0886a9175a7'}> -2024-10-30 05:41:38,059 - lightrag - INFO - _check_edge_existence:query:MATCH (a:`CHRISTMAS EVE`)-[r]-(b:`FEZZIWIG`) RETURN COUNT(r) > 0 AS edgeExists:result:True -2024-10-30 05:41:38,201 - lightrag - INFO - get_edge:query: - MATCH (source:`CHRISTMAS EVE`)-[r]-(target:`FEZZIWIG`) - RETURN r - :result:, ) type='DIRECTED' properties={'keywords': '"event significance, festivity"', 'description': '"Fezziwig\'s celebrations take place on Christmas Eve, highlighting the special significance of this event."', 'weight': 10.0, 'source_id': 'chunk-8bc1edd983869352d14cf0886a9175a7'}> -2024-10-30 05:41:38,348 - lightrag - INFO - _check_edge_existence:query:MATCH (a:`FEZZIWIG`)-[r]-(b:`MRS. FEZZIWIG`) RETURN COUNT(r) > 0 AS edgeExists:result:True -2024-10-30 05:41:38,490 - lightrag - INFO - get_edge:query: - MATCH (source:`FEZZIWIG`)-[r]-(target:`MRS. FEZZIWIG`) - RETURN r - :result:, ) type='DIRECTED' properties={'keywords': '"festivity, companionship""partnership, celebration"', 'description': '"Fezziwig and Mrs. Fezziwig dance together, showcasing their joyful relationship and the spirit of togetherness during Christmas.""Fezziwig and Mrs. Fezziwig work together to create a festive and welcoming environment during the domestic ball.""Mrs. Fezziwig partners with Fezziwig in the festivities, highlighting their companionship during the celebrations."', 'weight': 25.0, 'source_id': 'chunk-b2f98bc7abb0c67d4c86055c7fd72218chunk-89777b838d5447c7bd1ec11282c4ee89chunk-8bc1edd983869352d14cf0886a9175a7'}> -2024-10-30 05:41:38,633 - lightrag - INFO - _check_edge_existence:query:MATCH (a:`FEZZIWIG`)-[r]-(b:`THE DANCERS`) RETURN COUNT(r) > 0 AS edgeExists:result:True -2024-10-30 05:41:38,769 - lightrag - INFO - get_edge:query: - MATCH (source:`FEZZIWIG`)-[r]-(target:`THE DANCERS`) - RETURN r - :result:, ) type='DIRECTED' properties={'keywords': '"celebration, community"', 'description': '"The Dancers participate in the lively celebrations orchestrated by Fezziwig, showcasing the joyous atmosphere of the event."', 'weight': 9.0, 'source_id': 'chunk-8bc1edd983869352d14cf0886a9175a7'}> -2024-10-30 05:41:38,912 - lightrag - INFO - _check_edge_existence:query:MATCH (a:`FEZZIWIG`)-[r]-(b:`THE FIDDLER`) RETURN COUNT(r) > 0 AS edgeExists:result:True -2024-10-30 05:41:39,050 - lightrag - INFO - get_edge:query: - MATCH (source:`FEZZIWIG`)-[r]-(target:`THE FIDDLER`) - RETURN r - :result:, ) type='DIRECTED' properties={'keywords': '"musical contribution, festive atmosphere"', 'description': '"The Fiddler provides music for the dance, playing a crucial role in enhancing the festive atmosphere created by Fezziwig."', 'weight': 9.0, 'source_id': 'chunk-8bc1edd983869352d14cf0886a9175a7'}> -2024-10-30 05:41:39,195 - lightrag - INFO - _check_edge_existence:query:MATCH (a:`THE THREE MISS FEZZIWIGS`)-[r]-(b:`THE YOUNG FOLLOWERS`) RETURN COUNT(r) > 0 AS edgeExists:result:True -2024-10-30 05:41:39,333 - lightrag - INFO - get_edge:query: - MATCH (source:`THE THREE MISS FEZZIWIGS`)-[r]-(target:`THE YOUNG FOLLOWERS`) - RETURN r - :result:, ) type='DIRECTED' properties={'keywords': '"community, interactions"', 'description': '"The Three Miss Fezziwigs interact with the Young Followers during the dance, highlighting the communal joy of the celebration."', 'weight': 8.0, 'source_id': 'chunk-8bc1edd983869352d14cf0886a9175a7'}> -2024-10-30 05:41:39,480 - lightrag - INFO - _check_edge_existence:query:MATCH (a:`THE COOK`)-[r]-(b:`THE HOUSEMAID`) RETURN COUNT(r) > 0 AS edgeExists:result:True -2024-10-30 05:41:39,618 - lightrag - INFO - get_edge:query: - MATCH (source:`THE COOK`)-[r]-(target:`THE HOUSEMAID`) - RETURN r - :result:, ) type='DIRECTED' properties={'keywords': '"inclusion, participation"', 'description': '"The Housemaid and The Cook are both present at Fezziwig\'s celebration, participating in the festivities and showcasing the inclusive environment."', 'weight': 7.0, 'source_id': 'chunk-8bc1edd983869352d14cf0886a9175a7'}> -2024-10-30 05:41:39,763 - lightrag - INFO - _check_edge_existence:query:MATCH (a:`THE BOY FROM OVER THE WAY`)-[r]-(b:`THE GIRL FROM NEXT DOOR`) RETURN COUNT(r) > 0 AS edgeExists:result:True -2024-10-30 05:41:39,918 - lightrag - INFO - get_edge:query: - MATCH (source:`THE BOY FROM OVER THE WAY`)-[r]-(target:`THE GIRL FROM NEXT DOOR`) - RETURN r - :result:, ) type='DIRECTED' properties={'keywords': '"youthful antics, dynamics"', 'description': '"The Boy\'s attempts to hide from The Girl demonstrate the youthful interactions and dynamics during the festive event."', 'weight': 6.0, 'source_id': 'chunk-8bc1edd983869352d14cf0886a9175a7'}> -2024-10-30 05:41:40,081 - lightrag - INFO - _check_edge_existence:query:MATCH (a:`SCROOGE`)-[r]-(b:`THE GHOST OF CHRISTMAS PAST`) RETURN COUNT(r) > 0 AS edgeExists:result:True -2024-10-30 05:41:40,224 - lightrag - INFO - get_edge:query: - MATCH (source:`SCROOGE`)-[r]-(target:`THE GHOST OF CHRISTMAS PAST`) - RETURN r - :result:, ) type='DIRECTED' properties={'keywords': '"introspection, memory"', 'description': '"The Ghost of Christmas Past guides Scrooge through recollections, prompting his introspection about his former self and choices."', 'weight': 10.0, 'source_id': 'chunk-b2f98bc7abb0c67d4c86055c7fd72218'}> -2024-10-30 05:41:40,387 - lightrag - INFO - _check_edge_existence:query:MATCH (a:`FEZZIWIG`)-[r]-(b:`THE DOMESTIC BALL`) RETURN COUNT(r) > 0 AS edgeExists:result:True -2024-10-30 05:41:40,526 - lightrag - INFO - get_edge:query: - MATCH (source:`FEZZIWIG`)-[r]-(target:`THE DOMESTIC BALL`) - RETURN r - :result:, ) type='DIRECTED' properties={'keywords': '"event organization, joy"', 'description': '"Fezziwig organizes the Domestic Ball, showcasing his ability to create joy and camaraderie among guests."', 'weight': 10.0, 'source_id': 'chunk-b2f98bc7abb0c67d4c86055c7fd72218'}> -2024-10-30 05:41:40,682 - lightrag - INFO - _check_edge_existence:query:MATCH (a:`DICK`)-[r]-(b:`SCROOGE`) RETURN COUNT(r) > 0 AS edgeExists:result:True -2024-10-30 05:41:40,825 - lightrag - INFO - get_edge:query: - MATCH (source:`DICK`)-[r]-(target:`SCROOGE`) - RETURN r - :result:, ) type='DIRECTED' properties={'keywords': '"nostalgia, friendship"', 'description': '"Scrooge remembers Dick as a part of his past, highlighting their shared experiences during happier times."', 'weight': 7.0, 'source_id': 'chunk-b2f98bc7abb0c67d4c86055c7fd72218'}> -2024-10-30 05:41:40,969 - lightrag - INFO - _check_edge_existence:query:MATCH (a:`FEZZIWIG`)-[r]-(b:`THE TWO APPRENTICES`) RETURN COUNT(r) > 0 AS edgeExists:result:True -2024-10-30 05:41:41,106 - lightrag - INFO - get_edge:query: - MATCH (source:`FEZZIWIG`)-[r]-(target:`THE TWO APPRENTICES`) - RETURN r - :result:, ) type='DIRECTED' properties={'keywords': '"gratitude, mentorship"', 'description': '"Fezziwig inspires deep gratitude and respect from his apprentices, who appreciate his kindness during their interactions at the ball."', 'weight': 8.0, 'source_id': 'chunk-b2f98bc7abb0c67d4c86055c7fd72218'}> -2024-10-30 05:41:41,248 - lightrag - INFO - _check_edge_existence:query:MATCH (a:`SCROOGE`)-[r]-(b:`THE GOLDEN IDOL`) RETURN COUNT(r) > 0 AS edgeExists:result:True -2024-10-30 05:41:41,391 - lightrag - INFO - get_edge:query: - MATCH (source:`SCROOGE`)-[r]-(target:`THE GOLDEN IDOL`) - RETURN r - :result:, ) type='DIRECTED' properties={'keywords': '"materialism, lost connections"', 'description': '"The Golden Idol represents the materialistic pursuits that have displaced meaningful connections in Scrooge\'s life."', 'weight': 10.0, 'source_id': 'chunk-b2f98bc7abb0c67d4c86055c7fd72218'}> -2024-10-30 05:41:41,543 - lightrag - INFO - _check_edge_existence:query:MATCH (a:`SCROOGE`)-[r]-(b:`THE MOURNING DRESS`) RETURN COUNT(r) > 0 AS edgeExists:result:True -2024-10-30 05:41:41,682 - lightrag - INFO - get_edge:query: - MATCH (source:`SCROOGE`)-[r]-(target:`THE MOURNING DRESS`) - RETURN r - :result:, ) type='DIRECTED' properties={'keywords': '"loss, emotional distance"', 'description': '"The Mourning Dress symbolizes Scrooge\'s unfulfilled relationships and the emotional consequences of his choices."', 'weight': 8.0, 'source_id': 'chunk-b2f98bc7abb0c67d4c86055c7fd72218'}> -2024-10-30 05:41:41,823 - lightrag - INFO - _check_edge_existence:query:MATCH (a:`SCROOGE`)-[r]-(b:`THE PRIME OF LIFE`) RETURN COUNT(r) > 0 AS edgeExists:result:True -2024-10-30 05:41:41,961 - lightrag - INFO - get_edge:query: - MATCH (source:`SCROOGE`)-[r]-(target:`THE PRIME OF LIFE`) - RETURN r - :result:, ) type='DIRECTED' properties={'keywords': '"reflection, life choices"', 'description': '"Scrooge reflects on his Prime of Life, contrasting it with his current state and the sacrifices he has made for wealth."', 'weight': 9.0, 'source_id': 'chunk-b2f98bc7abb0c67d4c86055c7fd72218'}> -2024-10-30 05:41:42,103 - lightrag - INFO - _check_edge_existence:query:MATCH (a:`SCROOGE`)-[r]-(b:`THE BEAUTIFUL YOUNG GIRL`) RETURN COUNT(r) > 0 AS edgeExists:result:True -2024-10-30 05:41:42,242 - lightrag - INFO - get_edge:query: - MATCH (source:`SCROOGE`)-[r]-(target:`THE BEAUTIFUL YOUNG GIRL`) - RETURN r - :result:, ) type='DIRECTED' properties={'keywords': '"nostalgia, lost love"', 'description': '"Scrooge reflects on his past relationship with the young girl, which holds significance in understanding his character\'s regrets."', 'weight': 8.0, 'source_id': 'chunk-54bdd22db1f84a965b5f4c06c9216d8d'}> -2024-10-30 05:41:42,389 - lightrag - INFO - _check_edge_existence:query:MATCH (a:`THE BEAUTIFUL YOUNG GIRL`)-[r]-(b:`THE COMELY MATRON`) RETURN COUNT(r) > 0 AS edgeExists:result:True -2024-10-30 05:41:42,531 - lightrag - INFO - get_edge:query: - MATCH (source:`THE BEAUTIFUL YOUNG GIRL`)-[r]-(target:`THE COMELY MATRON`) - RETURN r - :result:, ) type='DIRECTED' properties={'keywords': '"change, passage of time"', 'description': '"The Beautiful Young Girl evolves into The Comely Matron, representing the effects of time and choices made."', 'weight': 7.0, 'source_id': 'chunk-54bdd22db1f84a965b5f4c06c9216d8d'}> -2024-10-30 05:41:42,671 - lightrag - INFO - _check_edge_existence:query:MATCH (a:`THE CHILDREN`)-[r]-(b:`THE COMELY MATRON`) RETURN COUNT(r) > 0 AS edgeExists:result:True -2024-10-30 05:41:42,806 - lightrag - INFO - get_edge:query: - MATCH (source:`THE CHILDREN`)-[r]-(target:`THE COMELY MATRON`) - RETURN r - :result:, ) type='DIRECTED' properties={'keywords': '"family bonds, joy"', 'description': '"The Comely Matron fosters a lively environment with The Children, highlighting familial love and joy."', 'weight': 8.0, 'source_id': 'chunk-54bdd22db1f84a965b5f4c06c9216d8d'}> -2024-10-30 05:41:42,950 - lightrag - INFO - _check_edge_existence:query:MATCH (a:`THE CHILDREN`)-[r]-(b:`THE FATHER`) RETURN COUNT(r) > 0 AS edgeExists:result:True -2024-10-30 05:41:43,088 - lightrag - INFO - get_edge:query: - MATCH (source:`THE CHILDREN`)-[r]-(target:`THE FATHER`) - RETURN r - :result:, ) type='DIRECTED' properties={'keywords': '"familial joy, celebration"', 'description': '"The Father engages with the children, highlighting familial bonds and the excitement of Christmas celebrations."', 'weight': 8.0, 'source_id': 'chunk-da2472b4ef2a535b62908f14d0fb0ca9'}> -2024-10-30 05:41:43,230 - lightrag - INFO - _check_edge_existence:query:MATCH (a:`SCROOGE`)-[r]-(b:`THE DOWERLESS GIRL`) RETURN COUNT(r) > 0 AS edgeExists:result:True -2024-10-30 05:41:43,364 - lightrag - INFO - get_edge:query: - MATCH (source:`SCROOGE`)-[r]-(target:`THE DOWERLESS GIRL`) - RETURN r - :result:, ) type='DIRECTED' properties={'keywords': '"social constraints, regret"', 'description': '"Scrooge\'s reflections on the dowerless girl highlight the social constraints influencing his choices and feelings of regret."', 'weight': 6.0, 'source_id': 'chunk-54bdd22db1f84a965b5f4c06c9216d8d'}> -2024-10-30 05:41:43,522 - lightrag - INFO - _check_edge_existence:query:MATCH (a:`SCROOGE`)-[r]-(b:`THE MEMORY`) RETURN COUNT(r) > 0 AS edgeExists:result:True -2024-10-30 05:41:43,664 - lightrag - INFO - get_edge:query: - MATCH (source:`SCROOGE`)-[r]-(target:`THE MEMORY`) - RETURN r - :result:, ) type='DIRECTED' properties={'keywords': '"reflection, impact of past"', 'description': '"Scrooge\'s memories play a crucial role in shaping his perspective on love and happiness as he confronts his past."', 'weight': 8.0, 'source_id': 'chunk-54bdd22db1f84a965b5f4c06c9216d8d'}> -2024-10-30 05:41:43,808 - lightrag - INFO - _check_edge_existence:query:MATCH (a:`THE FATHER`)-[r]-(b:`THE WINTER FIRE`) RETURN COUNT(r) > 0 AS edgeExists:result:True -2024-10-30 05:41:43,946 - lightrag - INFO - get_edge:query: - MATCH (source:`THE FATHER`)-[r]-(target:`THE WINTER FIRE`) - RETURN r - :result:, ) type='DIRECTED' properties={'keywords': '"family reunion, warmth"', 'description': '"The Father\'s return to The Winter Fire represents the reunion of family and the warmth of home during the holiday season."', 'weight': 9.0, 'source_id': 'chunk-54bdd22db1f84a965b5f4c06c9216d8d'}> -2024-10-30 05:41:44,088 - lightrag - INFO - _check_edge_existence:query:MATCH (a:`HAPPINESS`)-[r]-(b:`THE BEAUTIFUL YOUNG GIRL`) RETURN COUNT(r) > 0 AS edgeExists:result:True -2024-10-30 05:41:44,223 - lightrag - INFO - get_edge:query: - MATCH (source:`HAPPINESS`)-[r]-(target:`THE BEAUTIFUL YOUNG GIRL`) - RETURN r - :result:, ) type='DIRECTED' properties={'keywords': '"lost happiness, longing"', 'description': '"The Beautiful Young Girl embodies the happiness that Scrooge once sought and now feels he has lost."', 'weight': 7.0, 'source_id': 'chunk-54bdd22db1f84a965b5f4c06c9216d8d'}> -2024-10-30 05:41:44,364 - lightrag - INFO - _check_edge_existence:query:MATCH (a:`HOPE`)-[r]-(b:`THE COMELY MATRON`) RETURN COUNT(r) > 0 AS edgeExists:result:True -2024-10-30 05:41:44,511 - lightrag - INFO - get_edge:query: - MATCH (source:`HOPE`)-[r]-(target:`THE COMELY MATRON`) - RETURN r - :result:, ) type='DIRECTED' properties={'keywords': '"hope, family love"', 'description': '"The Comely Matron represents the hope for a joyful and fulfilling family life, enhancing the themes of love and connection."', 'weight': 8.0, 'source_id': 'chunk-54bdd22db1f84a965b5f4c06c9216d8d'}> -2024-10-30 05:41:44,655 - lightrag - INFO - _check_edge_existence:query:MATCH (a:`THE COMELY MATRON`)-[r]-(b:`THE YOUNG BRIGANDS`) RETURN COUNT(r) > 0 AS edgeExists:result:True -2024-10-30 05:41:44,794 - lightrag - INFO - get_edge:query: - MATCH (source:`THE COMELY MATRON`)-[r]-(target:`THE YOUNG BRIGANDS`) - RETURN r - :result:, ) type='DIRECTED' properties={'keywords': '"chaos, joy of childhood"', 'description': '"The Comely Matron encourages the Young Brigands\' playfulness, highlighting the joy and chaos of family life."', 'weight': 7.0, 'source_id': 'chunk-54bdd22db1f84a965b5f4c06c9216d8d'}> -2024-10-30 05:41:44,935 - lightrag - INFO - _check_edge_existence:query:MATCH (a:`BELLE`)-[r]-(b:`SCROOGE`) RETURN COUNT(r) > 0 AS edgeExists:result:True -2024-10-30 05:41:45,070 - lightrag - INFO - get_edge:query: - MATCH (source:`BELLE`)-[r]-(target:`SCROOGE`) - RETURN r - :result:, ) type='DIRECTED' properties={'keywords': '"lost love, regret"', 'description': '"Scrooge reflects on his lost relationship with Belle, highlighting his feelings of regret and emotional pain."', 'weight': 8.0, 'source_id': 'chunk-da2472b4ef2a535b62908f14d0fb0ca9'}> -2024-10-30 05:41:45,218 - lightrag - INFO - _check_edge_existence:query:MATCH (a:`CHRISTMAS`)-[r]-(b:`THE SPIRIT`) RETURN COUNT(r) > 0 AS edgeExists:result:True -2024-10-30 05:41:45,355 - lightrag - INFO - get_edge:query: - MATCH (source:`CHRISTMAS`)-[r]-(target:`THE SPIRIT`) - RETURN r - :result:, ) type='DIRECTED' properties={'keywords': '"holiday spirit, compassion""seasonal influence, moral reflection"', 'description': '"The Spirit connects various scenes to the theme of Christmas, emphasizing its impact on individuals’ attitudes and behaviors.""The Spirit\'s appearances highlight the themes of Christmas and the importance of compassion and community."', 'weight': 17.0, 'source_id': 'chunk-91614df5cb74cbe5e109a338a82041e9chunk-da2472b4ef2a535b62908f14d0fb0ca9'}> -2024-10-30 05:41:45,500 - lightrag - INFO - _check_edge_existence:query:MATCH (a:`SCROOGE`)-[r]-(b:`THE OFFICE`) RETURN COUNT(r) > 0 AS edgeExists:result:True -2024-10-30 05:41:45,639 - lightrag - INFO - get_edge:query: - MATCH (source:`SCROOGE`)-[r]-(target:`THE OFFICE`) - RETURN r - :result:, ) type='DIRECTED' properties={'keywords': '"isolation, work ethic"', 'description': '"Scrooge\'s office reflects his solitary and business-driven life, showcasing his disconnection from familial and social ties."', 'weight': 6.0, 'source_id': 'chunk-da2472b4ef2a535b62908f14d0fb0ca9'}> -2024-10-30 05:41:45,779 - lightrag - INFO - _check_edge_existence:query:MATCH (a:`THE FATHER`)-[r]-(b:`THE MOTHER`) RETURN COUNT(r) > 0 AS edgeExists:result:True -2024-10-30 05:41:45,918 - lightrag - INFO - get_edge:query: - MATCH (source:`THE FATHER`)-[r]-(target:`THE MOTHER`) - RETURN r - :result:, ) type='DIRECTED' properties={'keywords': '"family dynamics, togetherness"', 'description': '"The Mother and Father are depicted together, emphasizing family dynamics during the festive occasion."', 'weight': 6.0, 'source_id': 'chunk-da2472b4ef2a535b62908f14d0fb0ca9'}> -2024-10-30 05:41:46,061 - lightrag - INFO - _check_edge_existence:query:MATCH (a:`THE BABY`)-[r]-(b:`THE CHILDREN`) RETURN COUNT(r) > 0 AS edgeExists:result:True -2024-10-30 05:41:46,199 - lightrag - INFO - get_edge:query: - MATCH (source:`THE BABY`)-[r]-(target:`THE CHILDREN`) - RETURN r - :result:, ) type='DIRECTED' properties={'keywords': '"playfulness, innocence"', 'description': '"The Children interact with The Baby in a playful manner, illustrating the innocence of youth during Christmas."', 'weight': 6.0, 'source_id': 'chunk-da2472b4ef2a535b62908f14d0fb0ca9'}> -2024-10-30 05:41:46,341 - lightrag - INFO - _check_edge_existence:query:MATCH (a:`THE CHILDREN`)-[r]-(b:`THE PORTER`) RETURN COUNT(r) > 0 AS edgeExists:result:True -2024-10-30 05:41:46,482 - lightrag - INFO - get_edge:query: - MATCH (source:`THE CHILDREN`)-[r]-(target:`THE PORTER`) - RETURN r - :result:, ) type='DIRECTED' properties={'keywords': '"playfulness, joy"', 'description': '"The Children playfully interact with the Porter, creating a scene of joyous chaos and affection."', 'weight': 9.0, 'source_id': 'chunk-da2472b4ef2a535b62908f14d0fb0ca9'}> -2024-10-30 05:41:46,627 - lightrag - INFO - _check_edge_existence:query:MATCH (a:`THE CHILDREN`)-[r]-(b:`THE MOTHER`) RETURN COUNT(r) > 0 AS edgeExists:result:True -2024-10-30 05:41:46,769 - lightrag - INFO - get_edge:query: - MATCH (source:`THE CHILDREN`)-[r]-(target:`THE MOTHER`) - RETURN r - :result:, ) type='DIRECTED' properties={'keywords': '"family care, joy"', 'description': '"The Mother facilitates the family celebrations, ensuring that her children experience joy during Christmas."', 'weight': 7.0, 'source_id': 'chunk-da2472b4ef2a535b62908f14d0fb0ca9'}> -2024-10-30 05:41:46,917 - lightrag - INFO - _check_edge_existence:query:MATCH (a:`HOME`)-[r]-(b:`THE MOTHER`) RETURN COUNT(r) > 0 AS edgeExists:result:True -2024-10-30 05:41:47,059 - lightrag - INFO - get_edge:query: - MATCH (source:`HOME`)-[r]-(target:`THE MOTHER`) - RETURN r - :result:, ) type='DIRECTED' properties={'keywords': '"family unity, celebration"', 'description': '"Home is where The Mother organizes the family Christmas celebration, serving as the heart of their togetherness."', 'weight': 9.0, 'source_id': 'chunk-da2472b4ef2a535b62908f14d0fb0ca9'}> -2024-10-30 05:41:47,201 - lightrag - INFO - _check_edge_existence:query:MATCH (a:`GHOST OF CHRISTMAS PRESENT`)-[r]-(b:`HOLLY`) RETURN COUNT(r) > 0 AS edgeExists:result:True -2024-10-30 05:41:47,338 - lightrag - INFO - get_edge:query: - MATCH (source:`GHOST OF CHRISTMAS PRESENT`)-[r]-(target:`HOLLY`) - RETURN r - :result:, ) type='DIRECTED' properties={'keywords': '"festive spirit, symbolism"', 'description': '"Holly is part of the Ghost\'s attire, reinforcing the themes of joy and celebration during Christmas."', 'weight': 9.0, 'source_id': 'chunk-843b5b2f944c7413d9ca876e2e2f151f'}> -2024-10-30 05:41:47,482 - lightrag - INFO - _check_edge_existence:query:MATCH (a:`GHOST OF CHRISTMAS PRESENT`)-[r]-(b:`MISTLETOE`) RETURN COUNT(r) > 0 AS edgeExists:result:True -2024-10-30 05:41:47,625 - lightrag - INFO - get_edge:query: - MATCH (source:`GHOST OF CHRISTMAS PRESENT`)-[r]-(target:`MISTLETOE`) - RETURN r - :result:, ) type='DIRECTED' properties={'keywords': '"tradition, symbolism"', 'description': '"The Spirit’s presence is enhanced by Mistletoe, a traditional decoration symbolizing love and goodwill."', 'weight': 7.0, 'source_id': 'chunk-843b5b2f944c7413d9ca876e2e2f151f'}> -2024-10-30 05:41:47,767 - lightrag - INFO - _check_edge_existence:query:MATCH (a:`GHOST OF CHRISTMAS PRESENT`)-[r]-(b:`RED BERRIES`) RETURN COUNT(r) > 0 AS edgeExists:result:True -2024-10-30 05:41:47,906 - lightrag - INFO - get_edge:query: - MATCH (source:`GHOST OF CHRISTMAS PRESENT`)-[r]-(target:`RED BERRIES`) - RETURN r - :result:, ) type='DIRECTED' properties={'keywords': '"festivity, abundance"', 'description': '"The Ghost is surrounded by Red Berries, reinforcing the imagery of Christmas abundance and decoration."', 'weight': 7.0, 'source_id': 'chunk-843b5b2f944c7413d9ca876e2e2f151f'}> -2024-10-30 05:41:48,050 - lightrag - INFO - _check_edge_existence:query:MATCH (a:`GHOST OF CHRISTMAS PRESENT`)-[r]-(b:`TURKEYS`) RETURN COUNT(r) > 0 AS edgeExists:result:True -2024-10-30 05:41:48,187 - lightrag - INFO - get_edge:query: - MATCH (source:`GHOST OF CHRISTMAS PRESENT`)-[r]-(target:`TURKEYS`) - RETURN r - :result:, ) type='DIRECTED' properties={'keywords': '"feasting, abundance"', 'description': '"The Ghost highlights the presence of Turkeys at the feast, emphasizing the spirit of generosity during Christmas."', 'weight': 8.0, 'source_id': 'chunk-843b5b2f944c7413d9ca876e2e2f151f'}> -2024-10-30 05:41:48,329 - lightrag - INFO - _check_edge_existence:query:MATCH (a:`GHOST OF CHRISTMAS PRESENT`)-[r]-(b:`POULTRY`) RETURN COUNT(r) > 0 AS edgeExists:result:True -2024-10-30 05:41:48,467 - lightrag - INFO - get_edge:query: - MATCH (source:`GHOST OF CHRISTMAS PRESENT`)-[r]-(target:`POULTRY`) - RETURN r - :result:, ) type='DIRECTED' properties={'keywords': '"feast, tradition"', 'description': '"The Ghost presents Poultry as part of the Christmas spread, highlighting the traditional meals associated with the holiday."', 'weight': 8.0, 'source_id': 'chunk-843b5b2f944c7413d9ca876e2e2f151f'}> -2024-10-30 05:41:48,612 - lightrag - INFO - _check_edge_existence:query:MATCH (a:`GHOST OF CHRISTMAS PRESENT`)-[r]-(b:`MEAT`) RETURN COUNT(r) > 0 AS edgeExists:result:True -2024-10-30 05:41:48,749 - lightrag - INFO - get_edge:query: - MATCH (source:`GHOST OF CHRISTMAS PRESENT`)-[r]-(target:`MEAT`) - RETURN r - :result:, ) type='DIRECTED' properties={'keywords': '"abundance, generosity"', 'description': '"The included Meat within the Ghost\'s feast symbolizes abundance and the spirit of generosity during Christmas."', 'weight': 8.0, 'source_id': 'chunk-843b5b2f944c7413d9ca876e2e2f151f'}> -2024-10-30 05:41:48,892 - lightrag - INFO - _check_edge_existence:query:MATCH (a:`GHOST OF CHRISTMAS PRESENT`)-[r]-(b:`SAUSAGES`) RETURN COUNT(r) > 0 AS edgeExists:result:True -2024-10-30 05:41:49,035 - lightrag - INFO - get_edge:query: - MATCH (source:`GHOST OF CHRISTMAS PRESENT`)-[r]-(target:`SAUSAGES`) - RETURN r - :result:, ) type='DIRECTED' properties={'keywords': '"celebration, abundance"', 'description': '"Sausages contribute to the lavish spread, symbolizing the abundance of the Christmas feast."', 'weight': 7.0, 'source_id': 'chunk-843b5b2f944c7413d9ca876e2e2f151f'}> -2024-10-30 05:41:49,178 - lightrag - INFO - _check_edge_existence:query:MATCH (a:`GHOST OF CHRISTMAS PRESENT`)-[r]-(b:`OYSTERS`) RETURN COUNT(r) > 0 AS edgeExists:result:True -2024-10-30 05:41:49,320 - lightrag - INFO - get_edge:query: - MATCH (source:`GHOST OF CHRISTMAS PRESENT`)-[r]-(target:`OYSTERS`) - RETURN r - :result:, ) type='DIRECTED' properties={'keywords': '"luxury, celebration"', 'description': '"The inclusion of Oysters in the Christmas feast illustrates the luxury and indulgence during festive celebrations."', 'weight': 8.0, 'source_id': 'chunk-843b5b2f944c7413d9ca876e2e2f151f'}> -2024-10-30 05:41:49,466 - lightrag - INFO - _check_edge_existence:query:MATCH (a:`GHOST OF CHRISTMAS PRESENT`)-[r]-(b:`PIES`) RETURN COUNT(r) > 0 AS edgeExists:result:True -2024-10-30 05:41:49,603 - lightrag - INFO - get_edge:query: - MATCH (source:`GHOST OF CHRISTMAS PRESENT`)-[r]-(target:`PIES`) - RETURN r - :result:, ) type='DIRECTED' properties={'keywords': '"tradition, dessert"', 'description': '"Pies presented by the Ghost highlight the traditions of holiday desserts shared among families."', 'weight': 8.0, 'source_id': 'chunk-843b5b2f944c7413d9ca876e2e2f151f'}> -2024-10-30 05:41:49,752 - lightrag - INFO - _check_edge_existence:query:MATCH (a:`GHOST OF CHRISTMAS PRESENT`)-[r]-(b:`PUDDINGS`) RETURN COUNT(r) > 0 AS edgeExists:result:True -2024-10-30 05:41:49,897 - lightrag - INFO - get_edge:query: - MATCH (source:`GHOST OF CHRISTMAS PRESENT`)-[r]-(target:`PUDDINGS`) - RETURN r - :result:, ) type='DIRECTED' properties={'keywords': '"warmth, comfort"', 'description': '"Puddings are part of the Ghost’s feast, embodying warmth and comfort during the Christmas season."', 'weight': 8.0, 'source_id': 'chunk-843b5b2f944c7413d9ca876e2e2f151f'}> -2024-10-30 05:41:50,038 - lightrag - INFO - _check_edge_existence:query:MATCH (a:`FRUIT`)-[r]-(b:`GHOST OF CHRISTMAS PRESENT`) RETURN COUNT(r) > 0 AS edgeExists:result:True -2024-10-30 05:41:50,173 - lightrag - INFO - get_edge:query: - MATCH (source:`FRUIT`)-[r]-(target:`GHOST OF CHRISTMAS PRESENT`) - RETURN r - :result:, ) type='DIRECTED' properties={'keywords': '"sharing, abundance"', 'description': '"Fruit served by the Ghost reinforces the joy of sharing and the abundance of the Christmas season."', 'weight': 8.0, 'source_id': 'chunk-843b5b2f944c7413d9ca876e2e2f151f'}> -2024-10-30 05:41:50,315 - lightrag - INFO - _check_edge_existence:query:MATCH (a:`GHOST OF CHRISTMAS PRESENT`)-[r]-(b:`PUNCH`) RETURN COUNT(r) > 0 AS edgeExists:result:True -2024-10-30 05:41:50,456 - lightrag - INFO - get_edge:query: - MATCH (source:`GHOST OF CHRISTMAS PRESENT`)-[r]-(target:`PUNCH`) - RETURN r - :result:, ) type='DIRECTED' properties={'keywords': '"celebration, festivity"', 'description': '"Punch serves as a festive drink shared during Christmas, enhancing the celebratory atmosphere."', 'weight': 8.0, 'source_id': 'chunk-843b5b2f944c7413d9ca876e2e2f151f'}> -2024-10-30 05:41:50,599 - lightrag - INFO - _check_edge_existence:query:MATCH (a:`ANTIQUE SCABBARD`)-[r]-(b:`GHOST OF CHRISTMAS PRESENT`) RETURN COUNT(r) > 0 AS edgeExists:result:True -2024-10-30 05:41:50,742 - lightrag - INFO - get_edge:query: - MATCH (source:`ANTIQUE SCABBARD`)-[r]-(target:`GHOST OF CHRISTMAS PRESENT`) - RETURN r - :result:, ) type='DIRECTED' properties={'keywords': '"history, guardianship"', 'description': '"The Antique Scabbard worn by the Spirit symbolizes history and the guardianship of Christmas traditions."', 'weight': 7.0, 'source_id': 'chunk-843b5b2f944c7413d9ca876e2e2f151f'}> -2024-10-30 05:41:50,883 - lightrag - INFO - _check_edge_existence:query:MATCH (a:`CHRISTMAS`)-[r]-(b:`GROCERS'`) RETURN COUNT(r) > 0 AS edgeExists:result:True -2024-10-30 05:41:51,020 - lightrag - INFO - get_edge:query: - MATCH (source:`CHRISTMAS`)-[r]-(target:`GROCERS'`) - RETURN r - :result:, ) type='DIRECTED' properties={'keywords': '"retail, festive celebration"', 'description': '"The Grocers\' organization plays a crucial role during Christmas by providing goods that contribute to the festive spirit."', 'weight': 8.0, 'source_id': 'chunk-99b0ec7f7e006561352b5d65e849611d'}> -2024-10-30 05:41:51,162 - lightrag - INFO - _check_edge_existence:query:MATCH (a:`CHRISTMAS`)-[r]-(b:`PEOPLE`) RETURN COUNT(r) > 0 AS edgeExists:result:True -2024-10-30 05:41:51,297 - lightrag - INFO - get_edge:query: - MATCH (source:`CHRISTMAS`)-[r]-(target:`PEOPLE`) - RETURN r - :result:, ) type='DIRECTED' properties={'keywords': '"community celebration, joy"', 'description': '"The People are actively engaged in the celebration of Christmas, demonstrating joy and festivity despite the harsh weather conditions."', 'weight': 9.0, 'source_id': 'chunk-99b0ec7f7e006561352b5d65e849611d'}> -2024-10-30 05:41:51,444 - lightrag - INFO - _check_edge_existence:query:MATCH (a:`CHRISTMAS`)-[r]-(b:`GREAT BRITAIN`) RETURN COUNT(r) > 0 AS edgeExists:result:True -2024-10-30 05:41:51,583 - lightrag - INFO - get_edge:query: - MATCH (source:`CHRISTMAS`)-[r]-(target:`GREAT BRITAIN`) - RETURN r - :result:, ) type='DIRECTED' properties={'keywords': '"celebration, societal mood"', 'description': '"The celebration of Christmas brings a cheerful atmosphere to Great Britain despite the gloomy weather conditions."', 'weight': 7.0, 'source_id': 'chunk-99b0ec7f7e006561352b5d65e849611d'}> -2024-10-30 05:41:51,727 - lightrag - INFO - _check_edge_existence:query:MATCH (a:`SCROOGE`)-[r]-(b:`SPIRIT OF CHRISTMAS PRESENT`) RETURN COUNT(r) > 0 AS edgeExists:result:True -2024-10-30 05:41:51,867 - lightrag - INFO - get_edge:query: - MATCH (source:`SCROOGE`)-[r]-(target:`SPIRIT OF CHRISTMAS PRESENT`) - RETURN r - :result:, ) type='DIRECTED' properties={'keywords': '"transformation, generosity"', 'description': '"Scrooge interacts with the Spirit of Christmas Present, who shows him the joys of Christmas and the importance of generosity."', 'weight': 8.0, 'source_id': 'chunk-b0f459f5af1c3a5e0b92cbe4ee48b77b'}> -2024-10-30 05:41:52,013 - lightrag - INFO - _check_edge_existence:query:MATCH (a:`BOB CRATCHIT`)-[r]-(b:`SPIRIT OF CHRISTMAS PRESENT`) RETURN COUNT(r) > 0 AS edgeExists:result:True -2024-10-30 05:41:52,149 - lightrag - INFO - get_edge:query: - MATCH (source:`BOB CRATCHIT`)-[r]-(target:`SPIRIT OF CHRISTMAS PRESENT`) - RETURN r - :result:, ) type='DIRECTED' properties={'keywords': '"blessing, compassion"', 'description': '"The Spirit blesses Bob Cratchit’s dwelling, symbolizing the recognition of the Cratchit family\'s struggles and joys on Christmas Day."', 'weight': 9.0, 'source_id': 'chunk-b0f459f5af1c3a5e0b92cbe4ee48b77b'}> -2024-10-30 05:41:52,291 - lightrag - INFO - _check_edge_existence:query:MATCH (a:`BOB CRATCHIT`)-[r]-(b:`THE CRATCHIT HOUSEHOLD`) RETURN COUNT(r) > 0 AS edgeExists:result:True -2024-10-30 05:41:52,431 - lightrag - INFO - get_edge:query: - MATCH (source:`BOB CRATCHIT`)-[r]-(target:`THE CRATCHIT HOUSEHOLD`) - RETURN r - :result:, ) type='DIRECTED' properties={'keywords': '"family, support"', 'description': '"Bob Cratchit leads his family, representing resilience and love in the face of hardship, which is celebrated by the Spirit."', 'weight': 8.0, 'source_id': 'chunk-b0f459f5af1c3a5e0b92cbe4ee48b77b'}> -2024-10-30 05:41:52,575 - lightrag - INFO - _check_edge_existence:query:MATCH (a:`MRS. CRATCHIT`)-[r]-(b:`THE CRATCHIT HOUSEHOLD`) RETURN COUNT(r) > 0 AS edgeExists:result:True -2024-10-30 05:41:52,717 - lightrag - INFO - get_edge:query: - MATCH (source:`MRS. CRATCHIT`)-[r]-(target:`THE CRATCHIT HOUSEHOLD`) - RETURN r - :result:, ) type='DIRECTED' properties={'keywords': '"dedication, familial love"', 'description': '"Mrs. Cratchit contributes to the family’s efforts to celebrate Christmas, demonstrating dedication and caring."', 'weight': 7.0, 'source_id': 'chunk-b0f459f5af1c3a5e0b92cbe4ee48b77b'}> -2024-10-30 05:41:52,858 - lightrag - INFO - _check_edge_existence:query:MATCH (a:`BELINDA CRATCHIT`)-[r]-(b:`THE CRATCHIT HOUSEHOLD`) RETURN COUNT(r) > 0 AS edgeExists:result:True -2024-10-30 05:41:52,995 - lightrag - INFO - get_edge:query: - MATCH (source:`BELINDA CRATCHIT`)-[r]-(target:`THE CRATCHIT HOUSEHOLD`) - RETURN r - :result:, ) type='DIRECTED' properties={'keywords': '"cooperation, family bonds"', 'description': '"Belinda plays an active role in the household duties, reinforcing the theme of cooperation and togetherness."', 'weight': 6.0, 'source_id': 'chunk-b0f459f5af1c3a5e0b92cbe4ee48b77b'}> -2024-10-30 05:41:53,137 - lightrag - INFO - _check_edge_existence:query:MATCH (a:`MRS. CRATCHIT`)-[r]-(b:`PETER CRATCHIT`) RETURN COUNT(r) > 0 AS edgeExists:result:True -2024-10-30 05:41:53,280 - lightrag - INFO - get_edge:query: - MATCH (source:`MRS. CRATCHIT`)-[r]-(target:`PETER CRATCHIT`) - RETURN r - :result:, ) type='DIRECTED' properties={'keywords': '"family participation, dynamic"', 'description': '"Peter Cratchit assists his mother, reflecting the family dynamic and contribution of children during festive preparations."', 'weight': 7.0, 'source_id': 'chunk-b0f459f5af1c3a5e0b92cbe4ee48b77b'}> -2024-10-30 05:41:53,444 - lightrag - INFO - _check_edge_existence:query:MATCH (a:`THE GROCER`)-[r]-(b:`THE PEOPLE`) RETURN COUNT(r) > 0 AS edgeExists:result:True -2024-10-30 05:41:53,582 - lightrag - INFO - get_edge:query: - MATCH (source:`THE GROCER`)-[r]-(target:`THE PEOPLE`) - RETURN r - :result:, ) type='DIRECTED' properties={'keywords': '"community spirit, warmth"', 'description': '"The Grocer interacts warmly with The People, fostering a sense of community and celebration during Christmas."', 'weight': 8.0, 'source_id': 'chunk-b0f459f5af1c3a5e0b92cbe4ee48b77b'}> -2024-10-30 05:41:53,722 - lightrag - INFO - _check_edge_existence:query:MATCH (a:`THE CRATCHIT HOUSEHOLD`)-[r]-(b:`THE SPIRIT OF CHRISTMAS PRESENT`) RETURN COUNT(r) > 0 AS edgeExists:result:True -2024-10-30 05:41:53,858 - lightrag - INFO - get_edge:query: - MATCH (source:`THE CRATCHIT HOUSEHOLD`)-[r]-(target:`THE SPIRIT OF CHRISTMAS PRESENT`) - RETURN r - :result:, ) type='DIRECTED' properties={'keywords': '"observation, blessing"', 'description': '"The Spirit observes and blesses The Cratchit Household, showcasing the joy and struggles of families during Christmas."', 'weight': 9.0, 'source_id': 'chunk-b0f459f5af1c3a5e0b92cbe4ee48b77b'}> -2024-10-30 05:41:54,000 - lightrag - INFO - _check_edge_existence:query:MATCH (a:`THE BAKER'S SHOP`)-[r]-(b:`THE PEOPLE`) RETURN COUNT(r) > 0 AS edgeExists:result:True -2024-10-30 05:41:54,137 - lightrag - INFO - get_edge:query: - MATCH (source:`THE BAKER'S SHOP`)-[r]-(target:`THE PEOPLE`) - RETURN r - :result:, ) type='DIRECTED' properties={'keywords': '"community, gathering place"', 'description': '"The Baker\'s Shop serves as a gathering place for The People, symbolizing community and shared meals on Christmas Day."', 'weight': 7.0, 'source_id': 'chunk-b0f459f5af1c3a5e0b92cbe4ee48b77b'}> -2024-10-30 05:41:54,279 - lightrag - INFO - _check_edge_existence:query:MATCH (a:`THE SPIRIT OF CHRISTMAS PRESENT`)-[r]-(b:`THE STREETS`) RETURN COUNT(r) > 0 AS edgeExists:result:True -2024-10-30 05:41:54,417 - lightrag - INFO - get_edge:query: - MATCH (source:`THE SPIRIT OF CHRISTMAS PRESENT`)-[r]-(target:`THE STREETS`) - RETURN r - :result:, ) type='DIRECTED' properties={'keywords': '"guidance, social awareness"', 'description': '"The Spirit guides Scrooge through The Streets, revealing the festive nature and challenges faced by the townsfolk."', 'weight': 8.0, 'source_id': 'chunk-b0f459f5af1c3a5e0b92cbe4ee48b77b'}> -2024-10-30 05:41:54,565 - lightrag - INFO - _check_edge_existence:query:MATCH (a:`THE CRATCHIT HOUSEHOLD`)-[r]-(b:`THE SUBURBS`) RETURN COUNT(r) > 0 AS edgeExists:result:True -2024-10-30 05:41:54,719 - lightrag - INFO - get_edge:query: - MATCH (source:`THE CRATCHIT HOUSEHOLD`)-[r]-(target:`THE SUBURBS`) - RETURN r - :result:, ) type='DIRECTED' properties={'keywords': '"social commentary, inequality"', 'description': '"The Suburbs illustrate the challenges faced by families like The Cratchit Household, emphasizing social inequality."', 'weight': 6.0, 'source_id': 'chunk-b0f459f5af1c3a5e0b92cbe4ee48b77b'}> -2024-10-30 05:41:54,865 - lightrag - INFO - _check_edge_existence:query:MATCH (a:`DINNERS`)-[r]-(b:`THE CRATCHIT HOUSEHOLD`) RETURN COUNT(r) > 0 AS edgeExists:result:True -2024-10-30 05:41:55,007 - lightrag - INFO - get_edge:query: - MATCH (source:`DINNERS`)-[r]-(target:`THE CRATCHIT HOUSEHOLD`) - RETURN r - :result:, ) type='DIRECTED' properties={'keywords': '"togetherness, familial love"', 'description': '"The dinners prepared by The Cratchit Household signify love and togetherness, reflecting on the importance of family meals during the holidays."', 'weight': 8.0, 'source_id': 'chunk-b0f459f5af1c3a5e0b92cbe4ee48b77b'}> -2024-10-30 05:41:55,154 - lightrag - INFO - _check_edge_existence:query:MATCH (a:`BOB CRATCHIT`)-[r]-(b:`MARTHA`) RETURN COUNT(r) > 0 AS edgeExists:result:True -2024-10-30 05:41:55,296 - lightrag - INFO - get_edge:query: - MATCH (source:`BOB CRATCHIT`)-[r]-(target:`MARTHA`) - RETURN r - :result:, ) type='DIRECTED' properties={'keywords': '"family reunion, surprise"', 'description': '"Martha surprises Bob Cratchit by coming home late for Christmas dinner, showing the family\'s love and warmth in reunions."', 'weight': 8.0, 'source_id': 'chunk-7e2e7ebcc19a53b399dc03aded4743e7'}> -2024-10-30 05:41:55,444 - lightrag - INFO - _check_edge_existence:query:MATCH (a:`CRATCHIT CHRISTMAS DINNER`)-[r]-(b:`CRATCHIT FAMILY`) RETURN COUNT(r) > 0 AS edgeExists:result:True -2024-10-30 05:41:55,583 - lightrag - INFO - get_edge:query: - MATCH (source:`CRATCHIT CHRISTMAS DINNER`)-[r]-(target:`CRATCHIT FAMILY`) - RETURN r - :result:, ) type='DIRECTED' properties={'keywords': '"family celebration, togetherness"', 'description': '"The Cratchit Family comes together to celebrate Christmas dinner, encapsulating their unity and joyful spirit during the holiday season."', 'weight': 10.0, 'source_id': 'chunk-7e2e7ebcc19a53b399dc03aded4743e7'}> -2024-10-30 05:41:55,732 - lightrag - INFO - _check_edge_existence:query:MATCH (a:`CRATCHIT FAMILY`)-[r]-(b:`TINY TIM`) RETURN COUNT(r) > 0 AS edgeExists:result:True -2024-10-30 05:41:55,875 - lightrag - INFO - get_edge:query: - MATCH (source:`CRATCHIT FAMILY`)-[r]-(target:`TINY TIM`) - RETURN r - :result:, ) type='DIRECTED' properties={'keywords': '"family bond, celebration""family ties, innocence"', 'description': '"Tiny Tim\'s presence in the Cratchit family adds to their joy and highlights the family\'s spirit of togetherness during Christmas.""Tiny Tim, as part of the Cratchit Family, represents the innocence and vulnerability of the family, affecting their dynamics during Christmas."', 'weight': 15.0, 'source_id': 'chunk-7e2e7ebcc19a53b399dc03aded4743e7chunk-19d72c57ae3408758b18d2568e86dc6b'}> -2024-10-30 05:41:56,016 - lightrag - INFO - _check_edge_existence:query:MATCH (a:`CRATCHIT CHRISTMAS DINNER`)-[r]-(b:`MRS. CRATCHIT`) RETURN COUNT(r) > 0 AS edgeExists:result:True -2024-10-30 05:41:56,153 - lightrag - INFO - get_edge:query: - MATCH (source:`CRATCHIT CHRISTMAS DINNER`)-[r]-(target:`MRS. CRATCHIT`) - RETURN r - :result:, ) type='DIRECTED' properties={'keywords': '"family dedication, celebration"', 'description': '"Mrs. Cratchit plays a vital role in organizing and preparing the Christmas dinner, showcasing her dedication to the family."', 'weight': 9.0, 'source_id': 'chunk-7e2e7ebcc19a53b399dc03aded4743e7'}> -2024-10-30 05:41:56,296 - lightrag - INFO - _check_edge_existence:query:MATCH (a:`CRATCHIT CHRISTMAS DINNER`)-[r]-(b:`THE GOOSE`) RETURN COUNT(r) > 0 AS edgeExists:result:True -2024-10-30 05:41:56,433 - lightrag - INFO - get_edge:query: - MATCH (source:`CRATCHIT CHRISTMAS DINNER`)-[r]-(target:`THE GOOSE`) - RETURN r - :result:, ) type='DIRECTED' properties={'keywords': '"central dish, festive tradition"', 'description': '"The Goose is the centerpiece of the Cratchit Christmas dinner, symbolizing the family\'s festive spirit and shared joy."', 'weight': 10.0, 'source_id': 'chunk-7e2e7ebcc19a53b399dc03aded4743e7'}> -2024-10-30 05:41:56,579 - lightrag - INFO - _check_edge_existence:query:MATCH (a:`THE YOUNG CRATCHITS`)-[r]-(b:`TINY TIM`) RETURN COUNT(r) > 0 AS edgeExists:result:True -2024-10-30 05:41:56,717 - lightrag - INFO - get_edge:query: - MATCH (source:`THE YOUNG CRATCHITS`)-[r]-(target:`TINY TIM`) - RETURN r - :result:, ) type='DIRECTED' properties={'keywords': '"sibling bond, family dynamics"', 'description': '"The Young Cratchits enthusiastically engage with Tiny Tim during the celebrations, highlighting the loving dynamics of the Cratchit family."', 'weight': 8.0, 'source_id': 'chunk-7e2e7ebcc19a53b399dc03aded4743e7'}> -2024-10-30 05:41:56,864 - lightrag - INFO - _check_edge_existence:query:MATCH (a:`THE FIRE`)-[r]-(b:`TINY TIM`) RETURN COUNT(r) > 0 AS edgeExists:result:True -2024-10-30 05:41:57,003 - lightrag - INFO - get_edge:query: - MATCH (source:`THE FIRE`)-[r]-(target:`TINY TIM`) - RETURN r - :result:, ) type='DIRECTED' properties={'keywords': '"warmth, family support"', 'description': '"Tiny Tim is seen being supported by the family at the warmth of the Fire, which adds comfort and cheer to their gathering."', 'weight': 8.0, 'source_id': 'chunk-7e2e7ebcc19a53b399dc03aded4743e7'}> -2024-10-30 05:41:57,142 - lightrag - INFO - _check_edge_existence:query:MATCH (a:`CRATCHIT CHRISTMAS DINNER`)-[r]-(b:`THE PUDDING`) RETURN COUNT(r) > 0 AS edgeExists:result:True -2024-10-30 05:41:57,283 - lightrag - INFO - get_edge:query: - MATCH (source:`CRATCHIT CHRISTMAS DINNER`)-[r]-(target:`THE PUDDING`) - RETURN r - :result:, ) type='DIRECTED' properties={'keywords': '"traditional dish, celebration"', 'description': '"The Pudding is an important dish that signals the culmination of the Cratchit Christmas dinner, emphasizing the joy and festivity of the occasion."', 'weight': 9.0, 'source_id': 'chunk-7e2e7ebcc19a53b399dc03aded4743e7'}> -2024-10-30 05:41:57,428 - lightrag - INFO - _check_edge_existence:query:MATCH (a:`MRS. CRATCHIT`)-[r]-(b:`THE DINNER`) RETURN COUNT(r) > 0 AS edgeExists:result:True -2024-10-30 05:41:57,565 - lightrag - INFO - get_edge:query: - MATCH (source:`MRS. CRATCHIT`)-[r]-(target:`THE DINNER`) - RETURN r - :result:, ) type='DIRECTED' properties={'keywords': '"food preparation, holiday tradition"', 'description': '"Mrs. Cratchit prepares the dinner with pride, particularly the pudding, making it a highlight of the family\'s Christmas celebration."', 'weight': 9.0, 'source_id': 'chunk-503f0bfa5453467c7c61d160a3540eca'}> -2024-10-30 05:41:57,707 - lightrag - INFO - _check_edge_existence:query:MATCH (a:`THE CRATCHIT FAMILY`)-[r]-(b:`THE DINNER`) RETURN COUNT(r) > 0 AS edgeExists:result:True -2024-10-30 05:41:57,850 - lightrag - INFO - get_edge:query: - MATCH (source:`THE CRATCHIT FAMILY`)-[r]-(target:`THE DINNER`) - RETURN r - :result:, ) type='DIRECTED' properties={'keywords': '"family unity, celebration"', 'description': '"The Cratchit Family comes together for The Dinner, showcasing their unity and holiday spirit, despite their modest means."', 'weight': 10.0, 'source_id': 'chunk-503f0bfa5453467c7c61d160a3540eca'}> -2024-10-30 05:41:57,991 - lightrag - INFO - _check_edge_existence:query:MATCH (a:`SCROOGE`)-[r]-(b:`TINY TIM`) RETURN COUNT(r) > 0 AS edgeExists:result:True -2024-10-30 05:41:58,133 - lightrag - INFO - get_edge:query: - MATCH (source:`SCROOGE`)-[r]-(target:`TINY TIM`) - RETURN r - :result:, ) type='DIRECTED' properties={'keywords': '"personal transformation, empathy""transformation, mentorship""transformation, redemption"', 'description': '"Scrooge becomes a father figure to Tiny Tim, showing a deep commitment to his well-being after realizing the importance of family and caring for others.""Scrooge reflects on Tiny Tim and expresses concern for his wellbeing, indicating a pivotal change in his character and attitudes towards the less fortunate.""Scrooge\'s transformation is influenced by his reflections on the impact of Tiny Tim\'s life and death."', 'weight': 26.0, 'source_id': 'chunk-94bea83e7153fc2064aa382b494936a1chunk-503f0bfa5453467c7c61d160a3540ecachunk-91572b3cd42786ba4cb2f180ca25cbf4'}> -2024-10-30 05:41:58,274 - lightrag - INFO - _check_edge_existence:query:MATCH (a:`THE DINNER`)-[r]-(b:`THE GOOSE`) RETURN COUNT(r) > 0 AS edgeExists:result:True -2024-10-30 05:41:58,410 - lightrag - INFO - get_edge:query: - MATCH (source:`THE DINNER`)-[r]-(target:`THE GOOSE`) - RETURN r - :result:, ) type='DIRECTED' properties={'keywords': '"holiday meal, celebration"', 'description': '"The Goose is a significant part of The Dinner, representing the main course that brings joy and satisfaction to the Cratchit family."', 'weight': 8.0, 'source_id': 'chunk-503f0bfa5453467c7c61d160a3540eca'}> -2024-10-30 05:41:58,551 - lightrag - INFO - _check_edge_existence:query:MATCH (a:`THE DINNER`)-[r]-(b:`THE PUDDING`) RETURN COUNT(r) > 0 AS edgeExists:result:True -2024-10-30 05:41:58,687 - lightrag - INFO - get_edge:query: - MATCH (source:`THE DINNER`)-[r]-(target:`THE PUDDING`) - RETURN r - :result:, ) type='DIRECTED' properties={'keywords': '"dessert, holiday tradition"', 'description': '"The Pudding is a highlight of The Dinner, showcasing Mrs. Cratchit\'s skill and adding to the festive atmosphere."', 'weight': 9.0, 'source_id': 'chunk-503f0bfa5453467c7c61d160a3540eca'}> -2024-10-30 05:41:58,829 - lightrag - INFO - _check_edge_existence:query:MATCH (a:`MISS BELINDA`)-[r]-(b:`THE DINNER`) RETURN COUNT(r) > 0 AS edgeExists:result:True -2024-10-30 05:41:58,966 - lightrag - INFO - get_edge:query: - MATCH (source:`MISS BELINDA`)-[r]-(target:`THE DINNER`) - RETURN r - :result:, ) type='DIRECTED' properties={'keywords': '"family contribution, teamwork"', 'description': '"Miss Belinda\'s role in changing the plates represents her contribution to the family effort in celebrating The Dinner."', 'weight': 7.0, 'source_id': 'chunk-503f0bfa5453467c7c61d160a3540eca'}> -2024-10-30 05:41:59,109 - lightrag - INFO - _check_edge_existence:query:MATCH (a:`CHRISTMAS`)-[r]-(b:`THE DINNER`) RETURN COUNT(r) > 0 AS edgeExists:result:True -2024-10-30 05:41:59,246 - lightrag - INFO - get_edge:query: - MATCH (source:`CHRISTMAS`)-[r]-(target:`THE DINNER`) - RETURN r - :result:, ) type='DIRECTED' properties={'keywords': '"festive occasion, celebration"', 'description': '"The Dinner is part of the Christmas celebration, reflecting the traditions and spirit associated with this holiday."', 'weight': 10.0, 'source_id': 'chunk-503f0bfa5453467c7c61d160a3540eca'}> -2024-10-30 05:41:59,388 - lightrag - INFO - _check_edge_existence:query:MATCH (a:`SCROOGE`)-[r]-(b:`THE FOUNDER OF THE FEAST`) RETURN COUNT(r) > 0 AS edgeExists:result:True -2024-10-30 05:41:59,526 - lightrag - INFO - get_edge:query: - MATCH (source:`SCROOGE`)-[r]-(target:`THE FOUNDER OF THE FEAST`) - RETURN r - :result:, ) type='DIRECTED' properties={'keywords': '"gratitude, recognition"', 'description': '"Scrooge\'s contribution as The Founder of the Feast is acknowledged by Bob, highlighting the connection between Scrooge and the Cratchit family\'s Christmas dinner."', 'weight': 8.0, 'source_id': 'chunk-503f0bfa5453467c7c61d160a3540eca'}> -2024-10-30 05:41:59,672 - lightrag - INFO - _check_edge_existence:query:MATCH (a:`MRS. CRATCHIT`)-[r]-(b:`SCROOGE`) RETURN COUNT(r) > 0 AS edgeExists:result:True -2024-10-30 05:41:59,807 - lightrag - INFO - get_edge:query: - MATCH (source:`MRS. CRATCHIT`)-[r]-(target:`SCROOGE`) - RETURN r - :result:, ) type='DIRECTED' properties={'keywords': '"criticism, emotional conflict"', 'description': '"Mrs. Cratchit openly criticizes Scrooge during the Christmas dinner, expressing her feelings towards him and emphasizing the family\'s resentment."', 'weight': 8.0, 'source_id': 'chunk-19d72c57ae3408758b18d2568e86dc6b'}> -2024-10-30 05:41:59,954 - lightrag - INFO - _check_edge_existence:query:MATCH (a:`CRATCHIT FAMILY`)-[r]-(b:`THE SPIRIT`) RETURN COUNT(r) > 0 AS edgeExists:result:True -2024-10-30 05:42:00,091 - lightrag - INFO - get_edge:query: - MATCH (source:`CRATCHIT FAMILY`)-[r]-(target:`THE SPIRIT`) - RETURN r - :result:, ) type='DIRECTED' properties={'keywords': '"holiday spirit, influence"', 'description': '"The Spirit influences the Christmas gathering of the Cratchit family by promoting joy and generosity, impacting their celebration."', 'weight': 9.0, 'source_id': 'chunk-19d72c57ae3408758b18d2568e86dc6b'}> -2024-10-30 05:42:00,233 - lightrag - INFO - _check_edge_existence:query:MATCH (a:`CHRISTMAS DAY`)-[r]-(b:`CRATCHIT FAMILY`) RETURN COUNT(r) > 0 AS edgeExists:result:True -2024-10-30 05:42:00,368 - lightrag - INFO - get_edge:query: - MATCH (source:`CHRISTMAS DAY`)-[r]-(target:`CRATCHIT FAMILY`) - RETURN r - :result:, ) type='DIRECTED' properties={'keywords': '"celebration, tradition""celebration, unity"', 'description': '"The Cratchit Family gathers to celebrate Christmas Day, reflecting their togetherness and joy despite their hardships.""The Cratchit Family\'s celebration on Christmas Day emphasizes their unity and joy in sharing the holiday together."', 'weight': 19.0, 'source_id': 'chunk-7e2e7ebcc19a53b399dc03aded4743e7chunk-19d72c57ae3408758b18d2568e86dc6b'}> -2024-10-30 05:42:00,514 - lightrag - INFO - _check_edge_existence:query:MATCH (a:`MARTHA CRATCHIT`)-[r]-(b:`PETER CRATCHIT`) RETURN COUNT(r) > 0 AS edgeExists:result:True -2024-10-30 05:42:00,658 - lightrag - INFO - get_edge:query: - MATCH (source:`MARTHA CRATCHIT`)-[r]-(target:`PETER CRATCHIT`) - RETURN r - :result:, ) type='DIRECTED' properties={'keywords': '"sibling relationship, family dynamics"', 'description': '"Peter and Martha interact as siblings during the Christmas gathering, reflecting familial bonds and shared experiences."', 'weight': 7.0, 'source_id': 'chunk-19d72c57ae3408758b18d2568e86dc6b'}> -2024-10-30 05:42:00,799 - lightrag - INFO - _check_edge_existence:query:MATCH (a:`MARTHA CRATCHIT`)-[r]-(b:`THE COUNTESS`) RETURN COUNT(r) > 0 AS edgeExists:result:True -2024-10-30 05:42:00,937 - lightrag - INFO - get_edge:query: - MATCH (source:`MARTHA CRATCHIT`)-[r]-(target:`THE COUNTESS`) - RETURN r - :result:, ) type='DIRECTED' properties={'keywords': '"social aspirations, class contrast"', 'description': '"Martha’s mention of having seen the Countess represents her connection to higher social circles and dreams beyond her current situation."', 'weight': 5.0, 'source_id': 'chunk-19d72c57ae3408758b18d2568e86dc6b'}> -2024-10-30 05:42:01,079 - lightrag - INFO - _check_edge_existence:query:MATCH (a:`THE CRATCHIT FAMILY`)-[r]-(b:`TINY TIM`) RETURN COUNT(r) > 0 AS edgeExists:result:True -2024-10-30 05:42:01,214 - lightrag - INFO - get_edge:query: - MATCH (source:`THE CRATCHIT FAMILY`)-[r]-(target:`TINY TIM`) - RETURN r - :result:, ) type='DIRECTED' properties={'keywords': '"family unity, hope"', 'description': '"Tiny Tim is an integral part of the Cratchit family, embodying their hopes and joys during the Christmas festivities."', 'weight': 9.0, 'source_id': 'chunk-19d72c57ae3408758b18d2568e86dc6b'}> -2024-10-30 05:42:01,357 - lightrag - INFO - _check_edge_existence:query:MATCH (a:`BOB CRATCHIT`)-[r]-(b:`THE GATHERING`) RETURN COUNT(r) > 0 AS edgeExists:result:True -2024-10-30 05:42:01,496 - lightrag - INFO - get_edge:query: - MATCH (source:`BOB CRATCHIT`)-[r]-(target:`THE GATHERING`) - RETURN r - :result:, ) type='DIRECTED' properties={'keywords': '"family commitment, celebration"', 'description': '"Bob Cratchit leads his family in the Christmas Gathering, showcasing their love and commitment to celebrating together despite worries."', 'weight': 8.0, 'source_id': 'chunk-19d72c57ae3408758b18d2568e86dc6b'}> -2024-10-30 05:42:01,638 - lightrag - INFO - _check_edge_existence:query:MATCH (a:`THE GATHERING`)-[r]-(b:`THE SPIRIT`) RETURN COUNT(r) > 0 AS edgeExists:result:True -2024-10-30 05:42:01,782 - lightrag - INFO - get_edge:query: - MATCH (source:`THE GATHERING`)-[r]-(target:`THE SPIRIT`) - RETURN r - :result:, ) type='DIRECTED' properties={'keywords': '"holiday influence, spirit embodiment"', 'description': '"The Spirit enhances The Gathering by infusing it with joy and positivity, transforming the atmosphere into one of celebration."', 'weight': 9.0, 'source_id': 'chunk-19d72c57ae3408758b18d2568e86dc6b'}> -2024-10-30 05:42:01,930 - lightrag - INFO - _check_edge_existence:query:MATCH (a:`CHRISTMAS`)-[r]-(b:`THE LIGHTHOUSE`) RETURN COUNT(r) > 0 AS edgeExists:result:True -2024-10-30 05:42:02,067 - lightrag - INFO - get_edge:query: - MATCH (source:`CHRISTMAS`)-[r]-(target:`THE LIGHTHOUSE`) - RETURN r - :result:, ) type='DIRECTED' properties={'keywords': '"hope, celebration"', 'description': '"The Lighthouse is a site where Christmas is celebrated, symbolizing hope and warmth in a bleak environment."', 'weight': 7.0, 'source_id': 'chunk-91614df5cb74cbe5e109a338a82041e9'}> -2024-10-30 05:42:02,207 - lightrag - INFO - _check_edge_existence:query:MATCH (a:`CHRISTMAS`)-[r]-(b:`THE SHIP`) RETURN COUNT(r) > 0 AS edgeExists:result:True -2024-10-30 05:42:02,350 - lightrag - INFO - get_edge:query: - MATCH (source:`CHRISTMAS`)-[r]-(target:`THE SHIP`) - RETURN r - :result:, ) type='DIRECTED' properties={'keywords': '"unity, shared experience"', 'description': '"The Ship\'s crew celebrates Christmas together, creating a sense of unity and shared joy despite their circumstances."', 'weight': 8.0, 'source_id': 'chunk-91614df5cb74cbe5e109a338a82041e9'}> -2024-10-30 05:42:02,491 - lightrag - INFO - _check_edge_existence:query:MATCH (a:`SCROOGE`)-[r]-(b:`THE LAMPLIGHTER`) RETURN COUNT(r) > 0 AS edgeExists:result:True -2024-10-30 05:42:02,631 - lightrag - INFO - get_edge:query: - MATCH (source:`SCROOGE`)-[r]-(target:`THE LAMPLIGHTER`) - RETURN r - :result:, ) type='DIRECTED' properties={'keywords': '"contrast, positivity"', 'description': '"The Lamplighter\'s cheerful demeanor contrasts with Scrooge\'s initial outlook, highlighting the possibility of joy in life."', 'weight': 6.0, 'source_id': 'chunk-91614df5cb74cbe5e109a338a82041e9'}> -2024-10-30 05:42:02,775 - lightrag - INFO - _check_edge_existence:query:MATCH (a:`THE HUT`)-[r]-(b:`THE OLD MAN`) RETURN COUNT(r) > 0 AS edgeExists:result:True -2024-10-30 05:42:02,913 - lightrag - INFO - get_edge:query: - MATCH (source:`THE HUT`)-[r]-(target:`THE OLD MAN`) - RETURN r - :result:, ) type='DIRECTED' properties={'keywords': '"tradition, family gathering"', 'description': '"The Old Man leads the gathering in song within the Hut, showcasing the warmth of family during Christmas."', 'weight': 8.0, 'source_id': 'chunk-91614df5cb74cbe5e109a338a82041e9'}> -2024-10-30 05:42:03,056 - lightrag - INFO - _check_edge_existence:query:MATCH (a:`THE HUT`)-[r]-(b:`THE MINERS`) RETURN COUNT(r) > 0 AS edgeExists:result:True -2024-10-30 05:42:03,190 - lightrag - INFO - get_edge:query: - MATCH (source:`THE HUT`)-[r]-(target:`THE MINERS`) - RETURN r - :result:, ) type='DIRECTED' properties={'keywords': '"community, resilience"', 'description': '"The Miners find solace and community in the Hut during Christmas, emphasizing the importance of gathering during difficult times."', 'weight': 7.0, 'source_id': 'chunk-91614df5cb74cbe5e109a338a82041e9'}> -2024-10-30 05:42:03,332 - lightrag - INFO - _check_edge_existence:query:MATCH (a:`THE OFFICERS`)-[r]-(b:`THE SHIP`) RETURN COUNT(r) > 0 AS edgeExists:result:True -2024-10-30 05:42:03,467 - lightrag - INFO - get_edge:query: - MATCH (source:`THE OFFICERS`)-[r]-(target:`THE SHIP`) - RETURN r - :result:, ) type='DIRECTED' properties={'keywords': '"camaraderie, festive spirit"', 'description': '"The Officers aboard the Ship share in the collective spirit of Christmas, contributing to the festive atmosphere during their duty."', 'weight': 8.0, 'source_id': 'chunk-91614df5cb74cbe5e109a338a82041e9'}> -2024-10-30 05:42:03,607 - lightrag - INFO - _check_edge_existence:query:MATCH (a:`THE LIGHTHOUSE`)-[r]-(b:`THE WAVE`) RETURN COUNT(r) > 0 AS edgeExists:result:True -2024-10-30 05:42:03,745 - lightrag - INFO - get_edge:query: - MATCH (source:`THE LIGHTHOUSE`)-[r]-(target:`THE WAVE`) - RETURN r - :result:, ) type='DIRECTED' properties={'keywords': '"struggle, isolation"', 'description': '"The Wave\'s constant battering of the Lighthouse highlights the isolation and challenges faced by those in such remote environments."', 'weight': 7.0, 'source_id': 'chunk-91614df5cb74cbe5e109a338a82041e9'}> -2024-10-30 05:42:03,886 - lightrag - INFO - _check_edge_existence:query:MATCH (a:`STORM-BIRDS`)-[r]-(b:`THE LIGHTHOUSE`) RETURN COUNT(r) > 0 AS edgeExists:result:True -2024-10-30 05:42:04,026 - lightrag - INFO - get_edge:query: - MATCH (source:`STORM-BIRDS`)-[r]-(target:`THE LIGHTHOUSE`) - RETURN r - :result:, ) type='DIRECTED' properties={'keywords': '"wildness, nature"', 'description': '"Storm-Birds surrounding the Lighthouse reflect the wildness and unpredictability of the sea, enhancing the sense of danger and solitude."', 'weight': 6.0, 'source_id': 'chunk-91614df5cb74cbe5e109a338a82041e9'}> -2024-10-30 05:42:04,166 - lightrag - INFO - _check_edge_existence:query:MATCH (a:`SCROOGE`)-[r]-(b:`SCROOGE'S NIECE`) RETURN COUNT(r) > 0 AS edgeExists:result:True -2024-10-30 05:42:04,305 - lightrag - INFO - get_edge:query: - MATCH (source:`SCROOGE`)-[r]-(target:`SCROOGE'S NIECE`) - RETURN r - :result:, ) type='DIRECTED' properties={'keywords': '"family bonds, celebration""ideological conflict, family dynamics"', 'description': '"Scrooge\'s Niece expresses indignation towards Scrooge\'s belief that Christmas is a humbug, demonstrating her strong opinions against his views.""Scrooge\'s niece embraces the joyful atmosphere of the celebration, engaging with family and inviting good-natured fun."', 'weight': 15.0, 'source_id': 'chunk-773d0df1dd25c356f7b771d780583e09chunk-43c9bee23adfa77aa9dedd22401bba7d'}> -2024-10-30 05:42:04,451 - lightrag - INFO - _check_edge_existence:query:MATCH (a:`SCROOGE'S NEPHEW`)-[r]-(b:`SCROOGE'S NIECE`) RETURN COUNT(r) > 0 AS edgeExists:result:True -2024-10-30 05:42:04,589 - lightrag - INFO - get_edge:query: - MATCH (source:`SCROOGE'S NEPHEW`)-[r]-(target:`SCROOGE'S NIECE`) - RETURN r - :result:, ) type='DIRECTED' properties={'keywords': '"family interaction, playful rivalry""shared humor, family bonding"', 'description': '"Scrooge\'s Nephew and Scrooge\'s Niece share a humorous dynamic, both laughing and contrasting with Scrooge\'s grim outlook.""Scrooge\'s nephew and niece engage in playful banter and competition during the games, enhancing their familial bond."', 'weight': 15.0, 'source_id': 'chunk-773d0df1dd25c356f7b771d780583e09chunk-43c9bee23adfa77aa9dedd22401bba7d'}> -2024-10-30 05:42:04,731 - lightrag - INFO - _check_edge_existence:query:MATCH (a:`SCROOGE'S NIECE`)-[r]-(b:`TOPPER`) RETURN COUNT(r) > 0 AS edgeExists:result:True -2024-10-30 05:42:04,868 - lightrag - INFO - get_edge:query: - MATCH (source:`SCROOGE'S NIECE`)-[r]-(target:`TOPPER`) - RETURN r - :result:, ) type='DIRECTED' properties={'keywords': '"romantic interest, social dynamics"', 'description': '"Topper shows interest in Scrooge\'s Niece, indicating a budding romantic interest during the family gathering."', 'weight': 6.0, 'source_id': 'chunk-773d0df1dd25c356f7b771d780583e09'}> -2024-10-30 05:42:05,013 - lightrag - INFO - _check_edge_existence:query:MATCH (a:`SCROOGE'S NIECE`)-[r]-(b:`SCROOGE'S NIECE'S SISTERS`) RETURN COUNT(r) > 0 AS edgeExists:result:True -2024-10-30 05:42:05,149 - lightrag - INFO - get_edge:query: - MATCH (source:`SCROOGE'S NIECE`)-[r]-(target:`SCROOGE'S NIECE'S SISTERS`) - RETURN r - :result:, ) type='DIRECTED' properties={'keywords': '"sisterly bond, shared sentiment"', 'description': '"Scrooge\'s Niece\'s Sisters share the same lively spirit and engage in laughter, supporting her sentiments towards their uncle Scrooge."', 'weight': 8.0, 'source_id': 'chunk-773d0df1dd25c356f7b771d780583e09'}> -2024-10-30 05:42:05,292 - lightrag - INFO - _check_edge_existence:query:MATCH (a:`DINNER`)-[r]-(b:`SCROOGE'S NEPHEW`) RETURN COUNT(r) > 0 AS edgeExists:result:True -2024-10-30 05:42:05,425 - lightrag - INFO - get_edge:query: - MATCH (source:`DINNER`)-[r]-(target:`SCROOGE'S NEPHEW`) - RETURN r - :result:, ) type='DIRECTED' properties={'keywords': '"family, celebration"', 'description': '"Scrooge\'s Nephew emphasizes the pleasure of sharing Dinner with loved ones, highlighting the importance of family connections during holiday gatherings."', 'weight': 9.0, 'source_id': 'chunk-773d0df1dd25c356f7b771d780583e09'}> -2024-10-30 05:42:05,565 - lightrag - INFO - _check_edge_existence:query:MATCH (a:`SCROOGE'S NEPHEW`)-[r]-(b:`TOPPER`) RETURN COUNT(r) > 0 AS edgeExists:result:True -2024-10-30 05:42:05,704 - lightrag - INFO - get_edge:query: - MATCH (source:`SCROOGE'S NEPHEW`)-[r]-(target:`TOPPER`) - RETURN r - :result:, ) type='DIRECTED' properties={'keywords': '"social interaction, camaraderie"', 'description': '"Topper interacts with Scrooge\'s Nephew during the festivities, engaging in dialogue that enhances the light-hearted atmosphere of the gathering."', 'weight': 6.0, 'source_id': 'chunk-773d0df1dd25c356f7b771d780583e09'}> -2024-10-30 05:42:05,846 - lightrag - INFO - _check_edge_existence:query:MATCH (a:`SCROOGE`)-[r]-(b:`TOPPER`) RETURN COUNT(r) > 0 AS edgeExists:result:True -2024-10-30 05:42:05,984 - lightrag - INFO - get_edge:query: - MATCH (source:`SCROOGE`)-[r]-(target:`TOPPER`) - RETURN r - :result:, ) type='DIRECTED' properties={'keywords': '"observation, merriment"', 'description': '"Scrooge observes Topper\'s antics and expressions of joy during the games, revealing a reflection on human nature and merriment."', 'weight': 6.0, 'source_id': 'chunk-43c9bee23adfa77aa9dedd22401bba7d'}> -2024-10-30 05:42:06,129 - lightrag - INFO - _check_edge_existence:query:MATCH (a:`CHRISTMAS HOLIDAYS`)-[r]-(b:`SCROOGE`) RETURN COUNT(r) > 0 AS edgeExists:result:True -2024-10-30 05:42:06,264 - lightrag - INFO - get_edge:query: - MATCH (source:`CHRISTMAS HOLIDAYS`)-[r]-(target:`SCROOGE`) - RETURN r - :result:, ) type='DIRECTED' properties={'keywords': '"transformation, significance of time"', 'description': '"Christmas Holidays are integral to Scrooge\'s journey, representing the time of year that prompts his change and reinstates joy."', 'weight': 8.0, 'source_id': 'chunk-e7637ff18c5ded77a68cce0a87883fad'}> -2024-10-30 05:42:06,401 - lightrag - INFO - _check_edge_existence:query:MATCH (a:`IGNORANCE`)-[r]-(b:`SPIRIT`) RETURN COUNT(r) > 0 AS edgeExists:result:True -2024-10-30 05:42:06,540 - lightrag - INFO - get_edge:query: - MATCH (source:`IGNORANCE`)-[r]-(target:`SPIRIT`) - RETURN r - :result:, ) type='DIRECTED' properties={'keywords': '"social issues, awareness""social warning, awareness"', 'description': '"The Spirit introduces Ignorance to Scrooge as a representation of societal failures, urging him to acknowledge and address these issues.""The Spirit points out Ignorance, highlighting the need for awareness and responsibility toward societal issues."', 'weight': 15.0, 'source_id': 'chunk-e7637ff18c5ded77a68cce0a87883fadchunk-02baee20cc9463dbe08170a8e1043e32'}> -2024-10-30 05:42:06,687 - lightrag - INFO - _check_edge_existence:query:MATCH (a:`SPIRIT`)-[r]-(b:`WANT`) RETURN COUNT(r) > 0 AS edgeExists:result:True -2024-10-30 05:42:06,828 - lightrag - INFO - get_edge:query: - MATCH (source:`SPIRIT`)-[r]-(target:`WANT`) - RETURN r - :result:, ) type='DIRECTED' properties={'keywords': '"social issues, need for compassion""social warning, deprivation"', 'description': '"The Spirit points out Want, symbolizing the dire consequences of neglecting societal needs.""The Spirit presents Want along with Ignorance, symbolizing the plight of the less fortunate and appealing for compassion."', 'weight': 15.0, 'source_id': 'chunk-e7637ff18c5ded77a68cce0a87883fadchunk-02baee20cc9463dbe08170a8e1043e32'}> -2024-10-30 05:42:06,973 - lightrag - INFO - _check_edge_existence:query:MATCH (a:`CITY`)-[r]-(b:`SPIRIT`) RETURN COUNT(r) > 0 AS edgeExists:result:True -2024-10-30 05:42:07,113 - lightrag - INFO - get_edge:query: - MATCH (source:`CITY`)-[r]-(target:`SPIRIT`) - RETURN r - :result:, ) type='DIRECTED' properties={'keywords': '"atmospheric change, reality"', 'description': '"The Spirit’s presence affects the atmosphere of the City, showcasing the stark realities of life and death surrounding Scrooge."', 'weight': 6.0, 'source_id': 'chunk-02baee20cc9463dbe08170a8e1043e32'}> -2024-10-30 05:42:07,253 - lightrag - INFO - _check_edge_existence:query:MATCH (a:`JACOB`)-[r]-(b:`SCROOGE`) RETURN COUNT(r) > 0 AS edgeExists:result:True -2024-10-30 05:42:07,387 - lightrag - INFO - get_edge:query: - MATCH (source:`JACOB`)-[r]-(target:`SCROOGE`) - RETURN r - :result:, ) type='DIRECTED' properties={'keywords': '"reflection, past relationship"', 'description': '"Scrooge reflects on his past relationship with Jacob, influenced by feelings of guilt and loss after Jacob\'s death."', 'weight': 8.0, 'source_id': 'chunk-f1a4fbcf1ed86864b9bfd5e8dba4c683'}> -2024-10-30 05:42:07,532 - lightrag - INFO - _check_edge_existence:query:MATCH (a:`THE LOW-BROWED SHOP`)-[r]-(b:`THE TOWN`) RETURN COUNT(r) > 0 AS edgeExists:result:True -2024-10-30 05:42:07,669 - lightrag - INFO - get_edge:query: - MATCH (source:`THE LOW-BROWED SHOP`)-[r]-(target:`THE TOWN`) - RETURN r - :result:, ) type='DIRECTED' properties={'keywords': '"socioeconomic issues, decay"', 'description': '"The Low-Browed Shop exists within The Town, reflecting its degradation and the poor conditions of its inhabitants."', 'weight': 7.0, 'source_id': 'chunk-f1a4fbcf1ed86864b9bfd5e8dba4c683'}> -2024-10-30 05:42:07,812 - lightrag - INFO - _check_edge_existence:query:MATCH (a:`RED-FACED GENTLEMAN`)-[r]-(b:`SCROOGE`) RETURN COUNT(r) > 0 AS edgeExists:result:True -2024-10-30 05:42:07,950 - lightrag - INFO - get_edge:query: - MATCH (source:`RED-FACED GENTLEMAN`)-[r]-(target:`SCROOGE`) - RETURN r - :result:, ) type='DIRECTED' properties={'keywords': '"humor, communal context"', 'description': '"Scrooge observes the conversation of the Red-faced Gentleman, which offers humorous insights into communal attitudes toward death."', 'weight': 6.0, 'source_id': 'chunk-f1a4fbcf1ed86864b9bfd5e8dba4c683'}> -2024-10-30 05:42:08,091 - lightrag - INFO - _check_edge_existence:query:MATCH (a:`GENTLEMAN WITH THE EXCRESCENCE`)-[r]-(b:`RED-FACED GENTLEMAN`) RETURN COUNT(r) > 0 AS edgeExists:result:True -2024-10-30 05:42:08,234 - lightrag - INFO - get_edge:query: - MATCH (source:`GENTLEMAN WITH THE EXCRESCENCE`)-[r]-(target:`RED-FACED GENTLEMAN`) - RETURN r - :result:, ) type='DIRECTED' properties={'keywords': '"social interaction, humor"', 'description': '"Both gentlemen engage in light-hearted banter about the funeral, reflecting casual societal norms in their discussion."', 'weight': 7.0, 'source_id': 'chunk-f1a4fbcf1ed86864b9bfd5e8dba4c683'}> -2024-10-30 05:42:08,373 - lightrag - INFO - _check_edge_existence:query:MATCH (a:`SCROOGE`)-[r]-(b:`THE PHANTOM`) RETURN COUNT(r) > 0 AS edgeExists:result:True -2024-10-30 05:42:08,510 - lightrag - INFO - get_edge:query: - MATCH (source:`SCROOGE`)-[r]-(target:`THE PHANTOM`) - RETURN r - :result:, ) type='DIRECTED' properties={'keywords': '"guidance, self-reflection"', 'description': '"Scrooge interacts with the Phantom, which guides him through reflections on his life and future, emphasizing his journey of change."', 'weight': 9.0, 'source_id': 'chunk-f1a4fbcf1ed86864b9bfd5e8dba4c683'}> -2024-10-30 05:42:08,652 - lightrag - INFO - _check_edge_existence:query:MATCH (a:`THE PEOPLE`)-[r]-(b:`THE QUARTER`) RETURN COUNT(r) > 0 AS edgeExists:result:True -2024-10-30 05:42:08,790 - lightrag - INFO - get_edge:query: - MATCH (source:`THE PEOPLE`)-[r]-(target:`THE QUARTER`) - RETURN r - :result:, ) type='DIRECTED' properties={'keywords': '"socioeconomic struggle, societal neglect"', 'description': '"The People inhabit The Quarter, which is characterized by poverty, crime, and a sense of neglect."', 'weight': 9.0, 'source_id': 'chunk-f1a4fbcf1ed86864b9bfd5e8dba4c683'}> -2024-10-30 05:42:08,933 - lightrag - INFO - _check_edge_existence:query:MATCH (a:`THE LOW-BROWED SHOP`)-[r]-(b:`THE PEOPLE`) RETURN COUNT(r) > 0 AS edgeExists:result:True -2024-10-30 05:42:09,071 - lightrag - INFO - get_edge:query: - MATCH (source:`THE LOW-BROWED SHOP`)-[r]-(target:`THE PEOPLE`) - RETURN r - :result:, ) type='DIRECTED' properties={'keywords': '"desperation, commerce"', 'description': '"The Low-Browed Shop serves the needs of The People, representing the harsh realities of their lives in the quarter."', 'weight': 8.0, 'source_id': 'chunk-f1a4fbcf1ed86864b9bfd5e8dba4c683'}> -2024-10-30 05:42:09,213 - lightrag - INFO - _check_edge_existence:query:MATCH (a:`OLD SCRATCH`)-[r]-(b:`THE FUNERAL`) RETURN COUNT(r) > 0 AS edgeExists:result:True -2024-10-30 05:42:09,350 - lightrag - INFO - get_edge:query: - MATCH (source:`OLD SCRATCH`)-[r]-(target:`THE FUNERAL`) - RETURN r - :result:, ) type='DIRECTED' properties={'keywords': '"morbid humor, societal views"', 'description': '"The concept of Old Scratch is invoked in the context of discussions about The Funeral, highlighting societal attitudes towards death."', 'weight': 7.0, 'source_id': 'chunk-f1a4fbcf1ed86864b9bfd5e8dba4c683'}> -2024-10-30 05:42:09,493 - lightrag - INFO - _check_edge_existence:query:MATCH (a:`MRS. DILBER`)-[r]-(b:`OLD JOE`) RETURN COUNT(r) > 0 AS edgeExists:result:True -2024-10-30 05:42:09,628 - lightrag - INFO - get_edge:query: - MATCH (source:`MRS. DILBER`)-[r]-(target:`OLD JOE`) - RETURN r - :result:, ) type='DIRECTED' properties={'keywords': '"business interaction, appraisal"', 'description': '"Old Joe assesses the belongings of Mrs. Dilber, reinforcing his role as an appraiser of stolen goods and demonstrating a tendency to be generous towards women."', 'weight': 6.0, 'source_id': 'chunk-60fc063c79fc0d4acc91a57e79de04dc'}> -2024-10-30 05:42:09,768 - lightrag - INFO - _check_edge_existence:query:MATCH (a:`MRS. DILBER`)-[r]-(b:`THE WOMAN`) RETURN COUNT(r) > 0 AS edgeExists:result:True -2024-10-30 05:42:09,905 - lightrag - INFO - get_edge:query: - MATCH (source:`MRS. DILBER`)-[r]-(target:`THE WOMAN`) - RETURN r - :result:, ) type='DIRECTED' properties={'keywords': '"moral discussion, camaraderie"', 'description': '"Mrs. Dilber and The Woman share a conversational dynamic that touches on the moral implications of their actions, creating a camaraderie as they discuss the deceased."', 'weight': 5.0, 'source_id': 'chunk-60fc063c79fc0d4acc91a57e79de04dc'}> -2024-10-30 05:42:10,046 - lightrag - INFO - _check_edge_existence:query:MATCH (a:`OLD JOE`)-[r]-(b:`THE WOMAN`) RETURN COUNT(r) > 0 AS edgeExists:result:True -2024-10-30 05:42:10,184 - lightrag - INFO - get_edge:query: - MATCH (source:`OLD JOE`)-[r]-(target:`THE WOMAN`) - RETURN r - :result:, ) type='DIRECTED' properties={'keywords': '"business interaction, appraisal"', 'description': '"Old Joe interacts with The Woman as she encourages him to evaluate her stolen bundle, indicating a business-like relationship based on appraisal and exchange."', 'weight': 7.0, 'source_id': 'chunk-60fc063c79fc0d4acc91a57e79de04dc'}> -2024-10-30 05:42:10,325 - lightrag - INFO - _check_edge_existence:query:MATCH (a:`THE MAN IN FADED BLACK`)-[r]-(b:`THE WOMAN`) RETURN COUNT(r) > 0 AS edgeExists:result:True -2024-10-30 05:42:10,461 - lightrag - INFO - get_edge:query: - MATCH (source:`THE MAN IN FADED BLACK`)-[r]-(target:`THE WOMAN`) - RETURN r - :result:, ) type='DIRECTED' properties={'keywords': '"shared activity, community"', 'description': '"The Man in Faded Black shares his modest plunder with The Woman, building a sense of community among the characters involved."', 'weight': 5.0, 'source_id': 'chunk-60fc063c79fc0d4acc91a57e79de04dc'}> -2024-10-30 05:42:10,603 - lightrag - INFO - _check_edge_existence:query:MATCH (a:`OLD JOE`)-[r]-(b:`THE GATHERING`) RETURN COUNT(r) > 0 AS edgeExists:result:True -2024-10-30 05:42:10,742 - lightrag - INFO - get_edge:query: - MATCH (source:`OLD JOE`)-[r]-(target:`THE GATHERING`) - RETURN r - :result:, ) type='DIRECTED' properties={'keywords': '"facilitation, social dynamics"', 'description': '"Old Joe facilitates The Gathering by appraising the items brought by each character, serving as a focal point for their interactions."', 'weight': 9.0, 'source_id': 'chunk-60fc063c79fc0d4acc91a57e79de04dc'}> -2024-10-30 05:42:10,885 - lightrag - INFO - _check_edge_existence:query:MATCH (a:`SCROOGE`)-[r]-(b:`THE DECEASED MAN`) RETURN COUNT(r) > 0 AS edgeExists:result:True -2024-10-30 05:42:11,030 - lightrag - INFO - get_edge:query: - MATCH (source:`SCROOGE`)-[r]-(target:`THE DECEASED MAN`) - RETURN r - :result:, ) type='DIRECTED' properties={'keywords': '"moral reflection, consequence"', 'description': '"Scrooge reflects on the life and death of The Deceased Man, prompting introspection about his own life choices."', 'weight': 9.0, 'source_id': 'chunk-e1f29eeadc1d8ab46dc8a0bbd3c56b64'}> -2024-10-30 05:42:11,172 - lightrag - INFO - _check_edge_existence:query:MATCH (a:`JOE`)-[r]-(b:`SCROOGE`) RETURN COUNT(r) > 0 AS edgeExists:result:True -2024-10-30 05:42:11,310 - lightrag - INFO - get_edge:query: - MATCH (source:`JOE`)-[r]-(target:`SCROOGE`) - RETURN r - :result:, ) type='DIRECTED' properties={'keywords': '"perspective contrast, moral dilemma"', 'description': '"Joe\'s cynical attitude towards death and belongings contrasts with Scrooge\'s moral horror, creating a tension between their perspectives."', 'weight': 6.0, 'source_id': 'chunk-e1f29eeadc1d8ab46dc8a0bbd3c56b64'}> -2024-10-30 05:42:11,452 - lightrag - INFO - _check_edge_existence:query:MATCH (a:`DEATH`)-[r]-(b:`THE BED`) RETURN COUNT(r) > 0 AS edgeExists:result:True -2024-10-30 05:42:11,590 - lightrag - INFO - get_edge:query: - MATCH (source:`DEATH`)-[r]-(target:`THE BED`) - RETURN r - :result:, ) type='DIRECTED' properties={'keywords': '"finality, mortality"', 'description': '"Death is inherently linked to The Bed as the resting place of the deceased, symbolizing the finality of life and the legacy left behind."', 'weight': 8.0, 'source_id': 'chunk-e1f29eeadc1d8ab46dc8a0bbd3c56b64'}> -2024-10-30 05:42:11,732 - lightrag - INFO - _check_edge_existence:query:MATCH (a:`THE BUNDLE`)-[r]-(b:`THE DECEASED MAN`) RETURN COUNT(r) > 0 AS edgeExists:result:True -2024-10-30 05:42:11,872 - lightrag - INFO - get_edge:query: - MATCH (source:`THE BUNDLE`)-[r]-(target:`THE DECEASED MAN`) - RETURN r - :result:, ) type='DIRECTED' properties={'keywords': '"material legacy, value"', 'description': '"The Bundle contains the belongings that once belonged to The Deceased Man, illustrating the material value placed on his life after death."', 'weight': 7.0, 'source_id': 'chunk-e1f29eeadc1d8ab46dc8a0bbd3c56b64'}> -2024-10-30 05:42:12,013 - lightrag - INFO - _check_edge_existence:query:MATCH (a:`THE BLANKETS`)-[r]-(b:`THE CORPSE`) RETURN COUNT(r) > 0 AS edgeExists:result:True -2024-10-30 05:42:12,150 - lightrag - INFO - get_edge:query: - MATCH (source:`THE BLANKETS`)-[r]-(target:`THE CORPSE`) - RETURN r - :result:, ) type='DIRECTED' properties={'keywords': '"care, human connection"', 'description': '"The Blankets are directly associated with The Corpse, indicating the human connections and care traditionally shown to the dead."', 'weight': 8.0, 'source_id': 'chunk-e1f29eeadc1d8ab46dc8a0bbd3c56b64'}> -2024-10-30 05:42:12,291 - lightrag - INFO - _check_edge_existence:query:MATCH (a:`THE BLANKET`)-[r]-(b:`THE OIL`) RETURN COUNT(r) > 0 AS edgeExists:result:True -2024-10-30 05:42:12,431 - lightrag - INFO - get_edge:query: - MATCH (source:`THE BLANKET`)-[r]-(target:`THE OIL`) - RETURN r - :result:, ) type='DIRECTED' properties={'keywords': '"materialism, carelessness"', 'description': '"The Oil’s presence suggests a practical yet insensitive attitude towards the care of The Blanket and the deceased."', 'weight': 6.0, 'source_id': 'chunk-e1f29eeadc1d8ab46dc8a0bbd3c56b64'}> -2024-10-30 05:42:12,572 - lightrag - INFO - _check_edge_existence:query:MATCH (a:`SCROOGE`)-[r]-(b:`THE CORPSE`) RETURN COUNT(r) > 0 AS edgeExists:result:True -2024-10-30 05:42:12,711 - lightrag - INFO - get_edge:query: - MATCH (source:`SCROOGE`)-[r]-(target:`THE CORPSE`) - RETURN r - :result:, ) type='DIRECTED' properties={'keywords': '"introspection, life choices"', 'description': '"Scrooge’s horror upon seeing The Corpse prompts deep reflection on his own life choices and morality."', 'weight': 9.0, 'source_id': 'chunk-e1f29eeadc1d8ab46dc8a0bbd3c56b64'}> -2024-10-30 05:42:12,855 - lightrag - INFO - _check_edge_existence:query:MATCH (a:`BOB CRATCHIT`)-[r]-(b:`CAROLINE`) RETURN COUNT(r) > 0 AS edgeExists:result:True -2024-10-30 05:42:12,991 - lightrag - INFO - get_edge:query: - MATCH (source:`BOB CRATCHIT`)-[r]-(target:`CAROLINE`) - RETURN r - :result:, ) type='DIRECTED' properties={'keywords': '"hope, financial strain"', 'description': '"Caroline expresses hope combined with anxiety regarding their financial situation, affecting her relationship with Bob Cratchit."', 'weight': 7.0, 'source_id': 'chunk-83ac129dc9b56f84c46760d153d68e93'}> -2024-10-30 05:42:13,133 - lightrag - INFO - _check_edge_existence:query:MATCH (a:`SPIRIT`)-[r]-(b:`THE EVENT OF DEATH`) RETURN COUNT(r) > 0 AS edgeExists:result:True -2024-10-30 05:42:13,271 - lightrag - INFO - get_edge:query: - MATCH (source:`SPIRIT`)-[r]-(target:`THE EVENT OF DEATH`) - RETURN r - :result:, ) type='DIRECTED' properties={'keywords': '"emotional impact, mortality"', 'description': '"The Spirit highlights the emotional repercussions of The Event of Death, demonstrating the profound effects on those left behind."', 'weight': 8.0, 'source_id': 'chunk-83ac129dc9b56f84c46760d153d68e93'}> -2024-10-30 05:42:13,412 - lightrag - INFO - _check_edge_existence:query:MATCH (a:`SCROOGE`)-[r]-(b:`THE CRATCHIT HOUSE`) RETURN COUNT(r) > 0 AS edgeExists:result:True -2024-10-30 05:42:13,548 - lightrag - INFO - get_edge:query: - MATCH (source:`SCROOGE`)-[r]-(target:`THE CRATCHIT HOUSE`) - RETURN r - :result:, ) type='DIRECTED' properties={'keywords': '"compassion, familial connection"', 'description': '"Scrooge\'s reflections in The Cratchit House illustrate his evolving understanding of compassion and connection to others."', 'weight': 9.0, 'source_id': 'chunk-83ac129dc9b56f84c46760d153d68e93'}> -2024-10-30 05:42:13,691 - lightrag - INFO - _check_edge_existence:query:MATCH (a:`THE HUSBAND`)-[r]-(b:`THE MOTHER`) RETURN COUNT(r) > 0 AS edgeExists:result:True -2024-10-30 05:42:13,829 - lightrag - INFO - get_edge:query: - MATCH (source:`THE HUSBAND`)-[r]-(target:`THE MOTHER`) - RETURN r - :result:, ) type='DIRECTED' properties={'keywords': '"marital dynamics, emotional strain"', 'description': '"The Mother expresses anxiety and eagerness as she interacts with her husband, showcasing the emotional strain caused by uncertainty."', 'weight': 8.0, 'source_id': 'chunk-83ac129dc9b56f84c46760d153d68e93'}> -2024-10-30 05:42:13,971 - lightrag - INFO - _check_edge_existence:query:MATCH (a:`CAROLINE`)-[r]-(b:`THE HUSBAND`) RETURN COUNT(r) > 0 AS edgeExists:result:True -2024-10-30 05:42:14,110 - lightrag - INFO - get_edge:query: - MATCH (source:`CAROLINE`)-[r]-(target:`THE HUSBAND`) - RETURN r - :result:, ) type='DIRECTED' properties={'keywords': '"communication, emotional burden"', 'description': '"The Husband and Caroline\'s conversation illustrates the tension between optimism and the reality of their situation after receiving distressing news."', 'weight': 7.0, 'source_id': 'chunk-83ac129dc9b56f84c46760d153d68e93'}> -2024-10-30 05:42:14,251 - lightrag - INFO - _check_edge_existence:query:MATCH (a:`PETER`)-[r]-(b:`THE CHILDREN`) RETURN COUNT(r) > 0 AS edgeExists:result:True -2024-10-30 05:42:14,390 - lightrag - INFO - get_edge:query: - MATCH (source:`PETER`)-[r]-(target:`THE CHILDREN`) - RETURN r - :result:, ) type='DIRECTED' properties={'keywords': '"leadership, sibling dynamics"', 'description': '"Peter acts as a stabilizing force among The Children, leading them in moments of uncertainty and representing familial responsibility."', 'weight': 6.0, 'source_id': 'chunk-83ac129dc9b56f84c46760d153d68e93'}> -2024-10-30 05:42:14,537 - lightrag - INFO - _check_edge_existence:query:MATCH (a:`THE CRATCHIT HOUSE`)-[r]-(b:`THE DEBT`) RETURN COUNT(r) > 0 AS edgeExists:result:True -2024-10-30 05:42:14,679 - lightrag - INFO - get_edge:query: - MATCH (source:`THE CRATCHIT HOUSE`)-[r]-(target:`THE DEBT`) - RETURN r - :result:, ) type='DIRECTED' properties={'keywords': '"financial burden, atmosphere"', 'description': '"The Debt looms over The Cratchit House, contributing to the emotional atmosphere and fears of its inhabitants during the story."', 'weight': 9.0, 'source_id': 'chunk-83ac129dc9b56f84c46760d153d68e93'}> -2024-10-30 05:42:14,819 - lightrag - INFO - _check_edge_existence:query:MATCH (a:`CAROLINE`)-[r]-(b:`HOPE`) RETURN COUNT(r) > 0 AS edgeExists:result:True -2024-10-30 05:42:14,960 - lightrag - INFO - get_edge:query: - MATCH (source:`CAROLINE`)-[r]-(target:`HOPE`) - RETURN r - :result:, ) type='DIRECTED' properties={'keywords': '"emotional resilience, motivation"', 'description': '"Hope influences Caroline\'s reactions and actions throughout the story, serving as both a motivator and a source of inner conflict."', 'weight': 8.0, 'source_id': 'chunk-83ac129dc9b56f84c46760d153d68e93'}> -2024-10-30 05:42:15,108 - lightrag - INFO - _check_edge_existence:query:MATCH (a:`BOB CRATCHIT`)-[r]-(b:`MR. SCROOGE'S NEPHEW`) RETURN COUNT(r) > 0 AS edgeExists:result:True -2024-10-30 05:42:15,252 - lightrag - INFO - get_edge:query: - MATCH (source:`BOB CRATCHIT`)-[r]-(target:`MR. SCROOGE'S NEPHEW`) - RETURN r - :result:, ) type='DIRECTED' properties={'keywords': '"kindness, support"', 'description': '"Bob Cratchit shares a positive interaction with Mr. Scrooge\'s Nephew, who expresses kindness and concern for his family."', 'weight': 7.0, 'source_id': 'chunk-1d4b58de5429cd1261370c231c8673e8'}> -2024-10-30 05:42:15,395 - lightrag - INFO - _check_edge_existence:query:MATCH (a:`BOB CRATCHIT`)-[r]-(b:`PETER`) RETURN COUNT(r) > 0 AS edgeExists:result:True -2024-10-30 05:42:15,533 - lightrag - INFO - get_edge:query: - MATCH (source:`BOB CRATCHIT`)-[r]-(target:`PETER`) - RETURN r - :result:, ) type='DIRECTED' properties={'keywords': '"family discussions, support"', 'description': '"Peter interacts with Bob Cratchit, showing the dynamics of a supportive family unit while discussing aspirations."', 'weight': 6.0, 'source_id': 'chunk-1d4b58de5429cd1261370c231c8673e8'}> -2024-10-30 05:42:15,677 - lightrag - INFO - _check_edge_existence:query:MATCH (a:`CHRISTMAS`)-[r]-(b:`TINY TIM`) RETURN COUNT(r) > 0 AS edgeExists:result:True -2024-10-30 05:42:15,812 - lightrag - INFO - get_edge:query: - MATCH (source:`CHRISTMAS`)-[r]-(target:`TINY TIM`) - RETURN r - :result:, ) type='DIRECTED' properties={'keywords': '"innocence, holiday spirit"', 'description': '"Tiny Tim represents the spirit of Christmas, being cherished by family during this festive occasion."', 'weight': 9.0, 'source_id': 'chunk-1d4b58de5429cd1261370c231c8673e8'}> -2024-10-30 05:42:15,954 - lightrag - INFO - _check_edge_existence:query:MATCH (a:`SCROOGE`)-[r]-(b:`THE GHOST OF CHRISTMAS YET TO COME`) RETURN COUNT(r) > 0 AS edgeExists:result:True -2024-10-30 05:42:16,096 - lightrag - INFO - get_edge:query: - MATCH (source:`SCROOGE`)-[r]-(target:`THE GHOST OF CHRISTMAS YET TO COME`) - RETURN r - :result:, ) type='DIRECTED' properties={'keywords': '"consequences, change""guidance, self-confrontation"', 'description': '"The Ghost guides Scrooge to confront his potential future that threatens his existence.""The Ghost is critical in revealing the consequences of Scrooge\'s life choices, pushing for change."', 'weight': 19.0, 'source_id': 'chunk-91572b3cd42786ba4cb2f180ca25cbf4'}> -2024-10-30 05:42:16,236 - lightrag - INFO - _check_edge_existence:query:MATCH (a:`GRAVE`)-[r]-(b:`SCROOGE`) RETURN COUNT(r) > 0 AS edgeExists:result:True -2024-10-30 05:42:16,383 - lightrag - INFO - get_edge:query: - MATCH (source:`GRAVE`)-[r]-(target:`SCROOGE`) - RETURN r - :result:, ) type='DIRECTED' properties={'keywords': '"mortality, reflection"', 'description': '"Scrooge is confronted with his own grave, symbolizing the ultimate outcome of his current lifestyle and actions."', 'weight': 10.0, 'source_id': 'chunk-91572b3cd42786ba4cb2f180ca25cbf4'}> -2024-10-30 05:42:16,525 - lightrag - INFO - _check_edge_existence:query:MATCH (a:`CHRISTMAS DAY`)-[r]-(b:`SCROOGE`) RETURN COUNT(r) > 0 AS edgeExists:result:True -2024-10-30 05:42:16,663 - lightrag - INFO - get_edge:query: - MATCH (source:`CHRISTMAS DAY`)-[r]-(target:`SCROOGE`) - RETURN r - :result:, ) type='DIRECTED' properties={'keywords': '"seasonal significance, renewal"', 'description': '"Scrooge\'s change in attitude and actions occur on Christmas Day, making it a pivotal event in his story."', 'weight': 9.0, 'source_id': 'chunk-90b95db5c53e4364a6bee36b7aa4d70f'}> -2024-10-30 05:42:16,804 - lightrag - INFO - _check_edge_existence:query:MATCH (a:`BOB CRATCHIT`)-[r]-(b:`THE POULTERER'S`) RETURN COUNT(r) > 0 AS edgeExists:result:True -2024-10-30 05:42:16,942 - lightrag - INFO - get_edge:query: - MATCH (source:`BOB CRATCHIT`)-[r]-(target:`THE POULTERER'S`) - RETURN r - :result:, ) type='DIRECTED' properties={'keywords': '"commerce, generosity"', 'description': '"The Poulterer\'s shop is where Scrooge instructs the boy to buy a turkey for the Cratchit family, linking commerce to kindness."', 'weight': 6.0, 'source_id': 'chunk-90b95db5c53e4364a6bee36b7aa4d70f'}> -2024-10-30 05:42:17,085 - lightrag - INFO - _check_edge_existence:query:MATCH (a:`SCROOGE`)-[r]-(b:`THE GHOST OF CHRISTMAS PRESENT`) RETURN COUNT(r) > 0 AS edgeExists:result:True -2024-10-30 05:42:17,224 - lightrag - INFO - get_edge:query: - MATCH (source:`SCROOGE`)-[r]-(target:`THE GHOST OF CHRISTMAS PRESENT`) - RETURN r - :result:, ) type='DIRECTED' properties={'keywords': '"awareness, joy""supernatural guidance, social impact""transformation, guidance"', 'description': '"The Ghost of Christmas Present exposes Scrooge to the joy and generosity he has been missing.""The Ghost of Christmas Present observes Scrooge\'s transformation and emotional engagement with his memories of Christmas.""The Ghost of Christmas Present shows Scrooge the joy and importance of kindness during Christmas, impacting his perspective on social issues."', 'weight': 26.0, 'source_id': 'chunk-90b95db5c53e4364a6bee36b7aa4d70fchunk-43c9bee23adfa77aa9dedd22401bba7dchunk-b0f459f5af1c3a5e0b92cbe4ee48b77b'}> -2024-10-30 05:42:17,383 - lightrag - INFO - _check_edge_existence:query:MATCH (a:`SCROOGE`)-[r]-(b:`THE BOY`) RETURN COUNT(r) > 0 AS edgeExists:result:True -2024-10-30 05:42:17,520 - lightrag - INFO - get_edge:query: - MATCH (source:`SCROOGE`)-[r]-(target:`THE BOY`) - RETURN r - :result:, ) type='DIRECTED' properties={'keywords': '"generosity, kindness"', 'description': '"Scrooge interacts with The Boy to deliver the turkey, showing a newfound generosity and connection to others."', 'weight': 8.0, 'source_id': 'chunk-8f738cb25d60a7dab782162d9d0a25ed'}> -2024-10-30 05:42:17,669 - lightrag - INFO - _check_edge_existence:query:MATCH (a:`BOB CRATCHIT`)-[r]-(b:`THE CHRISTMAS DINNER`) RETURN COUNT(r) > 0 AS edgeExists:result:True -2024-10-30 05:42:17,804 - lightrag - INFO - get_edge:query: - MATCH (source:`BOB CRATCHIT`)-[r]-(target:`THE CHRISTMAS DINNER`) - RETURN r - :result:, ) type='DIRECTED' properties={'keywords': '"family, celebration"', 'description': '"The Christmas Dinner represents the Cratchit family\'s celebration, with Bob Cratchit at the center of this warm gathering."', 'weight': 8.0, 'source_id': 'chunk-90b95db5c53e4364a6bee36b7aa4d70f'}> -2024-10-30 05:42:17,948 - lightrag - INFO - _check_edge_existence:query:MATCH (a:`SCROOGE`)-[r]-(b:`THE OLD GENTLEMAN`) RETURN COUNT(r) > 0 AS edgeExists:result:True -2024-10-30 05:42:18,085 - lightrag - INFO - get_edge:query: - MATCH (source:`SCROOGE`)-[r]-(target:`THE OLD GENTLEMAN`) - RETURN r - :result:, ) type='DIRECTED' properties={'keywords': '"kindness, transformation"', 'description': '"Scrooge shows kindness and generosity to The Old Gentleman, marking a significant change in his character and relationships."', 'weight': 9.0, 'source_id': 'chunk-8f738cb25d60a7dab782162d9d0a25ed'}> -2024-10-30 05:42:18,225 - lightrag - INFO - _check_edge_existence:query:MATCH (a:`BOB CRATCHIT`)-[r]-(b:`THE FAMILY`) RETURN COUNT(r) > 0 AS edgeExists:result:True -2024-10-30 05:42:18,366 - lightrag - INFO - get_edge:query: - MATCH (source:`BOB CRATCHIT`)-[r]-(target:`THE FAMILY`) - RETURN r - :result:, ) type='DIRECTED' properties={'keywords': '"family, responsibility"', 'description': '"Bob Cratchit is a central figure in The Family, demonstrating love and responsibility towards his children during Christmas."', 'weight': 8.0, 'source_id': 'chunk-94bea83e7153fc2064aa382b494936a1'}> -2024-10-30 05:42:18,508 - lightrag - INFO - _check_edge_existence:query:MATCH (a:`BOB CRATCHIT`)-[r]-(b:`THE TANK`) RETURN COUNT(r) > 0 AS edgeExists:result:True -2024-10-30 05:42:18,643 - lightrag - INFO - get_edge:query: - MATCH (source:`BOB CRATCHIT`)-[r]-(target:`THE TANK`) - RETURN r - :result:, ) type='DIRECTED' properties={'keywords': '"workplace, struggle"', 'description': '"Bob\'s working conditions in The Tank under Scrooge reflect the challenges he faces as a struggling employee supporting his family."', 'weight': 7.0, 'source_id': 'chunk-94bea83e7153fc2064aa382b494936a1'}> -2024-10-30 05:42:18,783 - lightrag - INFO - _check_edge_existence:query:MATCH (a:`SCROOGE`)-[r]-(b:`SMOKING BISHOP`) RETURN COUNT(r) > 0 AS edgeExists:result:True -2024-10-30 05:42:18,922 - lightrag - INFO - get_edge:query: - MATCH (source:`SCROOGE`)-[r]-(target:`SMOKING BISHOP`) - RETURN r - :result:, ) type='DIRECTED' properties={'keywords': '"celebration, warmth"', 'description': '"Scrooge and Bob\'s plans to enjoy Smoking Bishop together symbolize the welcoming of joy and warmth during the Christmas season."', 'weight': 9.0, 'source_id': 'chunk-94bea83e7153fc2064aa382b494936a1'}> -2024-10-30 05:42:19,063 - lightrag - INFO - _check_edge_existence:query:MATCH (a:`PROJECT GUTENBERG`)-[r]-(b:`THE FOUNDATION`) RETURN COUNT(r) > 0 AS edgeExists:result:True -2024-10-30 05:42:19,199 - lightrag - INFO - get_edge:query: - MATCH (source:`PROJECT GUTENBERG`)-[r]-(target:`THE FOUNDATION`) - RETURN r - :result:, ) type='DIRECTED' properties={'keywords': '"organizational governance, copyright management"', 'description': '"Project Gutenberg is operated and managed by The Foundation, which governs its copyright and licensing aspects."', 'weight': 9.0, 'source_id': 'chunk-194cd9680f4967f48bea89678f7ece21'}> -2024-10-30 05:42:19,340 - lightrag - INFO - _check_edge_existence:query:MATCH (a:`GENERAL TERMS OF USE`)-[r]-(b:`PROJECT GUTENBERG`) RETURN COUNT(r) > 0 AS edgeExists:result:True -2024-10-30 05:42:19,483 - lightrag - INFO - get_edge:query: - MATCH (source:`GENERAL TERMS OF USE`)-[r]-(target:`PROJECT GUTENBERG`) - RETURN r - :result:, ) type='DIRECTED' properties={'keywords': '"regulatory framework, operational guidelines"', 'description': '"Project Gutenberg operates under specific General Terms of Use that govern the distribution and utilization of its electronic works."', 'weight': 7.0, 'source_id': 'chunk-194cd9680f4967f48bea89678f7ece21'}> -2024-10-30 05:42:19,624 - lightrag - INFO - _check_edge_existence:query:MATCH (a:`PROJECT GUTENBERG`)-[r]-(b:`TRANSCRIBER'S NOTE`) RETURN COUNT(r) > 0 AS edgeExists:result:True -2024-10-30 05:42:19,766 - lightrag - INFO - get_edge:query: - MATCH (source:`PROJECT GUTENBERG`)-[r]-(target:`TRANSCRIBER'S NOTE`) - RETURN r - :result:, ) type='DIRECTED' properties={'keywords': '"contextual enhancement, editorial contribution"', 'description': '"The transcriber\'s note provides additional context about the eBook created and distributed by Project Gutenberg."', 'weight': 6.0, 'source_id': 'chunk-194cd9680f4967f48bea89678f7ece21'}> -2024-10-30 05:42:19,910 - lightrag - INFO - _check_edge_existence:query:MATCH (a:`THE FOUNDATION`)-[r]-(b:`UNITED STATES COPYRIGHT`) RETURN COUNT(r) > 0 AS edgeExists:result:True -2024-10-30 05:42:20,050 - lightrag - INFO - get_edge:query: - MATCH (source:`THE FOUNDATION`)-[r]-(target:`UNITED STATES COPYRIGHT`) - RETURN r - :result:, ) type='DIRECTED' properties={'keywords': '"legal compliance, governance"', 'description': '"The Foundation operates within the framework of United States copyright laws, which govern its activities and permissions."', 'weight': 8.0, 'source_id': 'chunk-194cd9680f4967f48bea89678f7ece21'}> -2024-10-30 05:42:20,194 - lightrag - INFO - _check_edge_existence:query:MATCH (a:`ELECTRONIC WORKS`)-[r]-(b:`PROJECT GUTENBERG`) RETURN COUNT(r) > 0 AS edgeExists:result:True -2024-10-30 05:42:20,334 - lightrag - INFO - get_edge:query: - MATCH (source:`ELECTRONIC WORKS`)-[r]-(target:`PROJECT GUTENBERG`) - RETURN r - :result:, ) type='DIRECTED' properties={'keywords': '"digital access, literary promotion"', 'description': '"Project Gutenberg is dedicated to the distribution of electronic works, which are core to its mission."', 'weight': 10.0, 'source_id': 'chunk-194cd9680f4967f48bea89678f7ece21'}> -2024-10-30 05:42:20,479 - lightrag - INFO - _check_edge_existence:query:MATCH (a:`COPYRIGHT ROYALTIES`)-[r]-(b:`PROJECT GUTENBERG`) RETURN COUNT(r) > 0 AS edgeExists:result:True -2024-10-30 05:42:20,615 - lightrag - INFO - get_edge:query: - MATCH (source:`COPYRIGHT ROYALTIES`)-[r]-(target:`PROJECT GUTENBERG`) - RETURN r - :result:, ) type='DIRECTED' properties={'keywords': '"copyright policy, free access"', 'description': '"Project Gutenberg states that works not protected by U.S. copyright can be distributed without paying copyright royalties."', 'weight': 9.0, 'source_id': 'chunk-194cd9680f4967f48bea89678f7ece21'}> -2024-10-30 05:42:20,754 - lightrag - INFO - _check_edge_existence:query:MATCH (a:`GENERAL TERMS OF USE`)-[r]-(b:`TRADEMARK LICENSE`) RETURN COUNT(r) > 0 AS edgeExists:result:True -2024-10-30 05:42:20,890 - lightrag - INFO - get_edge:query: - MATCH (source:`GENERAL TERMS OF USE`)-[r]-(target:`TRADEMARK LICENSE`) - RETURN r - :result:, ) type='DIRECTED' properties={'keywords': '"operational policy, trademark protection"', 'description': '"The General Terms of Use outlines the conditions that must be adhered to regarding the use of the Project Gutenberg trademark."', 'weight': 7.0, 'source_id': 'chunk-194cd9680f4967f48bea89678f7ece21'}> -2024-10-30 05:42:21,032 - lightrag - INFO - _check_edge_existence:query:MATCH (a:`PROJECT GUTENBERG LITERARY ARCHIVE FOUNDATION`)-[r]-(b:`PROJECT GUTENBERG`) RETURN COUNT(r) > 0 AS edgeExists:result:True -2024-10-30 05:42:21,167 - lightrag - INFO - get_edge:query: - MATCH (source:`PROJECT GUTENBERG LITERARY ARCHIVE FOUNDATION`)-[r]-(target:`PROJECT GUTENBERG`) - RETURN r - :result:, ) type='DIRECTED' properties={'keywords': '"management, oversight"', 'description': '"The Project Gutenberg Literary Archive Foundation is responsible for managing the trademark of Project Gutenberg and ensuring compliance with its licensing terms."', 'weight': 8.0, 'source_id': 'chunk-af4ae173c561e4594c5aea96198cce9d'}> -2024-10-30 05:42:21,308 - lightrag - INFO - _check_edge_existence:query:MATCH (a:`PROJECT GUTENBERG`)-[r]-(b:`U.S. COPYRIGHT LAW`) RETURN COUNT(r) > 0 AS edgeExists:result:True -2024-10-30 05:42:21,444 - lightrag - INFO - get_edge:query: - MATCH (source:`PROJECT GUTENBERG`)-[r]-(target:`U.S. COPYRIGHT LAW`) - RETURN r - :result:, ) type='DIRECTED' properties={'keywords': '"legal compliance, copyright influence""legal compliance, operational limitations"', 'description': '"Project Gutenberg operates within the parameters of U.S. Copyright Law to ensure that its activities align with legal standards.""Project Gutenberg\'s operations are significantly influenced by U.S. Copyright Law, which dictates how works can be shared and accessed."', 'weight': 16.0, 'source_id': 'chunk-af4ae173c561e4594c5aea96198cce9dchunk-c51b3dc560b408cce12cdfe5c9c94f57'}> -2024-10-30 05:42:21,589 - lightrag - INFO - _check_edge_existence:query:MATCH (a:`EBOOK`)-[r]-(b:`PROJECT GUTENBERG`) RETURN COUNT(r) > 0 AS edgeExists:result:True -2024-10-30 05:42:21,727 - lightrag - INFO - get_edge:query: - MATCH (source:`EBOOK`)-[r]-(target:`PROJECT GUTENBERG`) - RETURN r - :result:, ) type='DIRECTED' properties={'keywords': '"digital library, access"', 'description': '"Project Gutenberg provides access to eBooks that follow specific terms of distribution as established in its license."', 'weight': 9.0, 'source_id': 'chunk-af4ae173c561e4594c5aea96198cce9d'}> -2024-10-30 05:42:21,874 - lightrag - INFO - _check_edge_existence:query:MATCH (a:`PROJECT GUTENBERG`)-[r]-(b:`UNITED STATES`) RETURN COUNT(r) > 0 AS edgeExists:result:True -2024-10-30 05:42:22,013 - lightrag - INFO - get_edge:query: - MATCH (source:`PROJECT GUTENBERG`)-[r]-(target:`UNITED STATES`) - RETURN r - :result:, ) type='DIRECTED' properties={'keywords': '"legal framework, copyright law"', 'description': '"Project Gutenberg operates within the legal framework of the United States, influencing its copyright policies and user access."', 'weight': 8.0, 'source_id': 'chunk-194cd9680f4967f48bea89678f7ece21'}> -2024-10-30 05:42:22,153 - lightrag - INFO - _check_edge_existence:query:MATCH (a:`PROJECT GUTENBERG LITERARY ARCHIVE FOUNDATION`)-[r]-(b:`ROYALTY PAYMENTS`) RETURN COUNT(r) > 0 AS edgeExists:result:True -2024-10-30 05:42:22,288 - lightrag - INFO - get_edge:query: - MATCH (source:`PROJECT GUTENBERG LITERARY ARCHIVE FOUNDATION`)-[r]-(target:`ROYALTY PAYMENTS`) - RETURN r - :result:, ) type='DIRECTED' properties={'keywords': '"financial management, trademark"', 'description': '"The Project Gutenberg Literary Archive Foundation oversees the management and collection of Royalty Payments for the use of their trademark."', 'weight': 7.0, 'source_id': 'chunk-af4ae173c561e4594c5aea96198cce9d'}> -2024-10-30 05:42:22,430 - lightrag - INFO - _check_edge_existence:query:MATCH (a:`COPYRIGHT HOLDER`)-[r]-(b:`PROJECT GUTENBERG`) RETURN COUNT(r) > 0 AS edgeExists:result:True -2024-10-30 05:42:22,568 - lightrag - INFO - get_edge:query: - MATCH (source:`COPYRIGHT HOLDER`)-[r]-(target:`PROJECT GUTENBERG`) - RETURN r - :result:, ) type='DIRECTED' properties={'keywords': '"permission, rights management"', 'description': '"Copyright Holders have the authority to grant permission for works posted on Project Gutenberg, influencing availability and distribution."', 'weight': 8.0, 'source_id': 'chunk-af4ae173c561e4594c5aea96198cce9d'}> -2024-10-30 05:42:22,708 - lightrag - INFO - _check_edge_existence:query:MATCH (a:`DISTRIBUTION TERMS`)-[r]-(b:`PARAGRAPHS 1.E.1 THROUGH 1.E.9`) RETURN COUNT(r) > 0 AS edgeExists:result:True -2024-10-30 05:42:22,844 - lightrag - INFO - get_edge:query: - MATCH (source:`DISTRIBUTION TERMS`)-[r]-(target:`PARAGRAPHS 1.E.1 THROUGH 1.E.9`) - RETURN r - :result:, ) type='DIRECTED' properties={'keywords': '"guidelines, usage conditions"', 'description': '"Paragraphs 1.E.1 through 1.E.9 specify the Distribution Terms that govern how Project Gutenberg\'s works can be used and shared."', 'weight': 9.0, 'source_id': 'chunk-af4ae173c561e4594c5aea96198cce9d'}> -2024-10-30 05:42:22,985 - lightrag - INFO - _check_edge_existence:query:MATCH (a:`PROJECT GUTENBERG`)-[r]-(b:`VOLUNTEERS`) RETURN COUNT(r) > 0 AS edgeExists:result:True -2024-10-30 05:42:23,124 - lightrag - INFO - get_edge:query: - MATCH (source:`PROJECT GUTENBERG`)-[r]-(target:`VOLUNTEERS`) - RETURN r - :result:, ) type='DIRECTED' properties={'keywords': '"volunteer contributions, organizational structure"', 'description': '"Volunteers are essential to the mission of Project Gutenberg, contributing significantly to the maintenance and distribution of the collection."', 'weight': 9.0, 'source_id': 'chunk-c51b3dc560b408cce12cdfe5c9c94f57'}> -2024-10-30 05:42:23,266 - lightrag - INFO - _check_edge_existence:query:MATCH (a:`MISSISSIPPI`)-[r]-(b:`PROJECT GUTENBERG LITERARY ARCHIVE FOUNDATION`) RETURN COUNT(r) > 0 AS edgeExists:result:True -2024-10-30 05:42:23,405 - lightrag - INFO - get_edge:query: - MATCH (source:`MISSISSIPPI`)-[r]-(target:`PROJECT GUTENBERG LITERARY ARCHIVE FOUNDATION`) - RETURN r - :result:, ) type='DIRECTED' properties={'keywords': '"legal framework, organizational base""legal identity, location"', 'description': '"The Foundation is organized under the laws of Mississippi, establishing its legal framework.""The Project Gutenberg Literary Archive Foundation is organized under the laws of Mississippi, linking its operations to the state."', 'weight': 13.0, 'source_id': 'chunk-c51b3dc560b408cce12cdfe5c9c94f57chunk-85f77f5e3a9aba01133555a2d20e2fd8'}> -2024-10-30 05:42:23,548 - lightrag - INFO - _check_edge_existence:query:MATCH (a:`PROJECT GUTENBERG LITERARY ARCHIVE FOUNDATION`)-[r]-(b:`SALT LAKE CITY`) RETURN COUNT(r) > 0 AS edgeExists:result:True -2024-10-30 05:42:23,685 - lightrag - INFO - get_edge:query: - MATCH (source:`PROJECT GUTENBERG LITERARY ARCHIVE FOUNDATION`)-[r]-(target:`SALT LAKE CITY`) - RETURN r - :result:, ) type='DIRECTED' properties={'keywords': '"operational base, location""organizational presence, location"', 'description': '"The Foundation has its business office in Salt Lake City, establishing a geographic link to its operations.""The Project Gutenberg Literary Archive Foundation has its business office located in Salt Lake City, establishing a physical presence there."', 'weight': 15.0, 'source_id': 'chunk-c51b3dc560b408cce12cdfe5c9c94f57chunk-85f77f5e3a9aba01133555a2d20e2fd8'}> -2024-10-30 05:42:23,833 - lightrag - INFO - _check_edge_existence:query:MATCH (a:`DEFECTS`)-[r]-(b:`PROJECT GUTENBERG`) RETURN COUNT(r) > 0 AS edgeExists:result:True -2024-10-30 05:42:23,972 - lightrag - INFO - get_edge:query: - MATCH (source:`DEFECTS`)-[r]-(target:`PROJECT GUTENBERG`) - RETURN r - :result:, ) type='DIRECTED' properties={'keywords': '"quality assurance, operational challenges"', 'description': '"The existence of Defects poses challenges to Project Gutenberg\'s integrity and reliability as it seeks to provide quality electronic works."', 'weight': 6.0, 'source_id': 'chunk-c51b3dc560b408cce12cdfe5c9c94f57'}> -2024-10-30 05:42:24,113 - lightrag - INFO - _check_edge_existence:query:MATCH (a:`LEGAL FEES`)-[r]-(b:`VOLUNTEERS`) RETURN COUNT(r) > 0 AS edgeExists:result:True -2024-10-30 05:42:24,248 - lightrag - INFO - get_edge:query: - MATCH (source:`LEGAL FEES`)-[r]-(target:`VOLUNTEERS`) - RETURN r - :result:, ) type='DIRECTED' properties={'keywords': '"legal implications, volunteer risks"', 'description': '"Volunteers may incur Legal Fees if involved in litigation regarding the distribution of Project Gutenberg works or related matters."', 'weight': 5.0, 'source_id': 'chunk-c51b3dc560b408cce12cdfe5c9c94f57'}> -2024-10-30 05:42:24,391 - lightrag - INFO - _check_edge_existence:query:MATCH (a:`CONTRIBUTIONS`)-[r]-(b:`PROJECT GUTENBERG LITERARY ARCHIVE FOUNDATION`) RETURN COUNT(r) > 0 AS edgeExists:result:True -2024-10-30 05:42:24,529 - lightrag - INFO - get_edge:query: - MATCH (source:`CONTRIBUTIONS`)-[r]-(target:`PROJECT GUTENBERG LITERARY ARCHIVE FOUNDATION`) - RETURN r - :result:, ) type='DIRECTED' properties={'keywords': '"funding, operational sustainability"', 'description': '"Contributions are essential for the operational viability of the Foundation, directly supporting its mission."', 'weight': 9.0, 'source_id': 'chunk-85f77f5e3a9aba01133555a2d20e2fd8'}> -2024-10-30 05:42:24,670 - lightrag - INFO - _check_edge_existence:query:MATCH (a:`PROJECT GUTENBERG LITERARY ARCHIVE FOUNDATION`)-[r]-(b:`U.S. INTERNAL REVENUE SERVICE`) RETURN COUNT(r) > 0 AS edgeExists:result:True -2024-10-30 05:42:24,805 - lightrag - INFO - get_edge:query: - MATCH (source:`PROJECT GUTENBERG LITERARY ARCHIVE FOUNDATION`)-[r]-(target:`U.S. INTERNAL REVENUE SERVICE`) - RETURN r - :result:, ) type='DIRECTED' properties={'keywords': '"financial oversight, tax compliance"', 'description': '"The Foundation\'s tax-exempt status is granted by the U.S. Internal Revenue Service, which oversees its financial compliance."', 'weight': 10.0, 'source_id': 'chunk-85f77f5e3a9aba01133555a2d20e2fd8'}> -2024-10-30 05:42:24,948 - lightrag - INFO - _check_edge_existence:query:MATCH (a:`MICHAEL S. HART`)-[r]-(b:`PROJECT GUTENBERG LITERARY ARCHIVE FOUNDATION`) RETURN COUNT(r) > 0 AS edgeExists:result:True -2024-10-30 05:42:25,083 - lightrag - INFO - get_edge:query: - MATCH (source:`MICHAEL S. HART`)-[r]-(target:`PROJECT GUTENBERG LITERARY ARCHIVE FOUNDATION`) - RETURN r - :result:, ) type='DIRECTED' properties={'keywords': '"founder, mission creation"', 'description': '"Michael S. Hart is the originator of the Project Gutenberg concept, instrumental in establishing its mission and operations."', 'weight': 9.0, 'source_id': 'chunk-85f77f5e3a9aba01133555a2d20e2fd8'}> -2024-10-30 05:42:25,228 - lightrag - INFO - _check_edge_existence:query:MATCH (a:`DONATIONS`)-[r]-(b:`PROJECT GUTENBERG LITERARY ARCHIVE FOUNDATION`) RETURN COUNT(r) > 0 AS edgeExists:result:True -2024-10-30 05:42:25,381 - lightrag - INFO - get_edge:query: - MATCH (source:`DONATIONS`)-[r]-(target:`PROJECT GUTENBERG LITERARY ARCHIVE FOUNDATION`) - RETURN r - :result:, ) type='DIRECTED' properties={'keywords': '"financial support, project funding"', 'description': '"Donations are critical financial support for the Foundation, enabling its initiatives and projects."', 'weight': 9.0, 'source_id': 'chunk-85f77f5e3a9aba01133555a2d20e2fd8'}> -2024-10-30 05:42:25,521 - lightrag - INFO - _check_edge_existence:query:MATCH (a:`MICHAEL S. HART`)-[r]-(b:`PROJECT GUTENBERG EBOOKS`) RETURN COUNT(r) > 0 AS edgeExists:result:True -2024-10-30 05:42:25,657 - lightrag - INFO - get_edge:query: - MATCH (source:`MICHAEL S. HART`)-[r]-(target:`PROJECT GUTENBERG EBOOKS`) - RETURN r - :result:, ) type='DIRECTED' properties={'keywords': '"content creation, legacy"', 'description': '"Michael S. Hart has been instrumental in the production and distribution of Project Gutenberg eBooks over forty years."', 'weight': 8.0, 'source_id': 'chunk-85f77f5e3a9aba01133555a2d20e2fd8'}> -2024-10-30 05:42:25,806 - lightrag - INFO - _check_edge_existence:query:MATCH (a:`501(C)(3)`)-[r]-(b:`PROJECT GUTENBERG LITERARY ARCHIVE FOUNDATION`) RETURN COUNT(r) > 0 AS edgeExists:result:True -2024-10-30 05:42:25,941 - lightrag - INFO - get_edge:query: - MATCH (source:`501(C)(3)`)-[r]-(target:`PROJECT GUTENBERG LITERARY ARCHIVE FOUNDATION`) - RETURN r - :result:, ) type='DIRECTED' properties={'keywords': '"tax status, charitable organization"', 'description': '"The Project Gutenberg Literary Archive Foundation operates under the 501(c)(3) tax-exempt status, allowing it to receive tax-deductible donations."', 'weight': 9.0, 'source_id': 'chunk-85f77f5e3a9aba01133555a2d20e2fd8'}> -2024-10-30 05:42:26,082 - lightrag - INFO - _check_edge_existence:query:MATCH (a:`EIN 64-6221541`)-[r]-(b:`PROJECT GUTENBERG LITERARY ARCHIVE FOUNDATION`) RETURN COUNT(r) > 0 AS edgeExists:result:True -2024-10-30 05:42:26,217 - lightrag - INFO - get_edge:query: - MATCH (source:`EIN 64-6221541`)-[r]-(target:`PROJECT GUTENBERG LITERARY ARCHIVE FOUNDATION`) - RETURN r - :result:, ) type='DIRECTED' properties={'keywords': '"tax identification, compliance"', 'description': '"The EIN serves as the foundation\'s identification for tax purposes, linking it to federal tax compliance."', 'weight': 8.0, 'source_id': 'chunk-85f77f5e3a9aba01133555a2d20e2fd8'}> -2024-10-30 05:42:26,395 - lightrag - INFO - _check_edge_existence:query:MATCH (a:`PROJECT GUTENBERG LITERARY ARCHIVE FOUNDATION`)-[r]-(b:`U.S. FEDERAL LAWS`) RETURN COUNT(r) > 0 AS edgeExists:result:True -2024-10-30 05:42:26,533 - lightrag - INFO - get_edge:query: - MATCH (source:`PROJECT GUTENBERG LITERARY ARCHIVE FOUNDATION`)-[r]-(target:`U.S. FEDERAL LAWS`) - RETURN r - :result:, ) type='DIRECTED' properties={'keywords': '"legal compliance, federal regulations"', 'description': '"The Foundation must comply with U.S. federal laws regarding charitable donations and tax-exempt status."', 'weight': 9.0, 'source_id': 'chunk-85f77f5e3a9aba01133555a2d20e2fd8'}> -2024-10-30 05:42:26,676 - lightrag - INFO - _check_edge_existence:query:MATCH (a:`PROJECT GUTENBERG LITERARY ARCHIVE FOUNDATION`)-[r]-(b:`WEBSITE`) RETURN COUNT(r) > 0 AS edgeExists:result:True -2024-10-30 05:42:26,813 - lightrag - INFO - get_edge:query: - MATCH (source:`PROJECT GUTENBERG LITERARY ARCHIVE FOUNDATION`)-[r]-(target:`WEBSITE`) - RETURN r - :result:, ) type='DIRECTED' properties={'keywords': '"information dissemination, online presence"', 'description': '"The Foundation uses its website to facilitate donations and disseminate information about its services and eBooks."', 'weight': 8.0, 'source_id': 'chunk-85f77f5e3a9aba01133555a2d20e2fd8'}> -2024-10-30 05:42:26,952 - lightrag - INFO - _check_edge_existence:query:MATCH (a:`PROJECT GUTENBERG LITERARY ARCHIVE FOUNDATION`)-[r]-(b:`PUBLIC DOMAIN`) RETURN COUNT(r) > 0 AS edgeExists:result:True -2024-10-30 05:42:27,088 - lightrag - INFO - get_edge:query: - MATCH (source:`PROJECT GUTENBERG LITERARY ARCHIVE FOUNDATION`)-[r]-(target:`PUBLIC DOMAIN`) - RETURN r - :result:, ) type='DIRECTED' properties={'keywords': '"accessibility, distribution"', 'description': '"The Foundation\'s mission is focused on distributing works that are in the Public Domain, enhancing accessibility for the public."', 'weight': 9.0, 'source_id': 'chunk-85f77f5e3a9aba01133555a2d20e2fd8'}> -2024-10-30 05:52:14,260 - lightrag - INFO - Logger initialized for working directory: ./neo4jWorkDir -2024-10-30 05:52:14,261 - lightrag - DEBUG - LightRAG init with param: - working_dir = ./neo4jWorkDir, - chunk_token_size = 1200, - chunk_overlap_token_size = 100, - tiktoken_model_name = gpt-4o-mini, - entity_extract_max_gleaning = 1, - entity_summary_to_max_tokens = 500, - node_embedding_algorithm = node2vec, - node2vec_params = {'dimensions': 1536, 'num_walks': 10, 'walk_length': 40, 'window_size': 2, 'iterations': 3, 'random_seed': 3}, - embedding_func = {'embedding_dim': 1536, 'max_token_size': 8192, 'func': }, - embedding_batch_num = 32, - embedding_func_max_async = 16, - llm_model_func = , - llm_model_name = meta-llama/Llama-3.2-1B-Instruct, - llm_model_max_token_size = 32768, - llm_model_max_async = 16, - key_string_value_json_storage_cls = , - vector_db_storage_cls = , - vector_db_storage_cls_kwargs = {}, - graph_storage_cls = , - enable_llm_cache = True, - addon_params = {}, - convert_response_to_json_func = - -2024-10-30 05:52:14,261 - lightrag - INFO - Load KV full_docs with 0 data -2024-10-30 05:52:14,261 - lightrag - INFO - Load KV text_chunks with 0 data -2024-10-30 05:52:14,262 - lightrag - INFO - Load KV llm_response_cache with 96 data -2024-10-30 05:52:14,264 - lightrag - INFO - Creating a new event loop in a sub-thread. -2024-10-30 05:52:14,265 - lightrag - INFO - [New Docs] inserting 1 docs -2024-10-30 05:52:14,437 - lightrag - INFO - [New Chunks] inserting 42 chunks -2024-10-30 05:52:14,437 - lightrag - INFO - Inserting 42 vectors to chunks -2024-10-30 05:52:17,989 - lightrag - INFO - [Entity Extraction]... -2024-10-30 05:52:18,772 - lightrag - INFO - get_node:query:MATCH (n:`PROJECT GUTENBERG`) RETURN n:result:"Project Gutenberg is a digital library offering free access to a vast array of eBooks, particularly those not protected by U.S. copyright law, allowing for worldwide distribution under specific conditions.""Project Gutenberg is a digital library offering free eBooks, allowing anyone to access literature in various formats without restrictions.""Project Gutenberg is a digital library providing free access to a wide range of eBooks, primarily in the United States and other regions, under specific licensing terms.""Project Gutenberg is an organization dedicated to the free distribution of electronic works and the preservation of the cultural heritage by providing access to public domain literature.""Project Gutenberg is an organization dedicated to the free distribution of electronic works, relying on volunteers and donations to maintain its collection.""Project Gutenberg is an organization that promotes the free distribution of electronic works and holds a compilation copyright for its collection.""Project Gutenberg is an organization that provides free eBooks, promoting accessibility to literature without restrictions.""Project Gutenberg is an organization dedicated to the free distribution of electronic works, relying on volunteers and donations to maintain its collection.""Project Gutenberg is an organization that promotes the free distribution of electronic works and holds a compilation copyright for its collection.""Project Gutenberg is an organization that provides free eBooks, promoting accessibility to literature without restrictions."', 'source_id': 'chunk-9e3921da66da5d761ab73cd849af6c43chunk-c51b3dc560b408cce12cdfe5c9c94f57chunk-af4ae173c561e4594c5aea96198cce9dchunk-194cd9680f4967f48bea89678f7ece21'}> -2024-10-30 05:52:18,917 - lightrag - INFO - _do_upsert:query: - MERGE (n:`PROJECT GUTENBERG`) - SET n += $properties - RETURN n - :result:{'entity_type': '"ORGANIZATION"', 'description': '"Project Gutenberg is a digital library offering free access to a vast array of eBooks, particularly those not protected by U.S. copyright law, allowing for worldwide distribution under specific conditions.""Project Gutenberg is a digital library offering free access to a vast array of eBooks, particularly those not protected by U.S. copyright law, allowing for worldwide distribution under specific conditions.""Project Gutenberg is a digital library offering free access to a vast array of eBooks, particularly those not protected by U.S. copyright law, allowing for worldwide distribution under specific conditions.""Project Gutenberg is a digital library offering free eBooks, allowing anyone to access literature in various formats without restrictions.""Project Gutenberg is a digital library providing free access to a wide range of eBooks, primarily in the United States and other regions, under specific licensing terms.""Project Gutenberg is an organization dedicated to the free distribution of electronic works and the preservation of the cultural heritage by providing access to public domain literature.""Project Gutenberg is an organization dedicated to the free distribution of electronic works, relying on volunteers and donations to maintain its collection.""Project Gutenberg is an organization that promotes the free distribution of electronic works and holds a compilation copyright for its collection.""Project Gutenberg is an organization that provides free eBooks, promoting accessibility to literature without restrictions.""Project Gutenberg is an organization dedicated to the free distribution of electronic works, relying on volunteers and donations to maintain its collection.""Project Gutenberg is an organization that promotes the free distribution of electronic works and holds a compilation copyright for its collection.""Project Gutenberg is an organization that provides free eBooks, promoting accessibility to literature without restrictions.""Project Gutenberg is an organization dedicated to the free distribution of electronic works, relying on volunteers and donations to maintain its collection.""Project Gutenberg is an organization that promotes the free distribution of electronic works and holds a compilation copyright for its collection.""Project Gutenberg is an organization that provides free eBooks, promoting accessibility to literature without restrictions."', 'source_id': 'chunk-194cd9680f4967f48bea89678f7ece21chunk-c51b3dc560b408cce12cdfe5c9c94f57chunk-af4ae173c561e4594c5aea96198cce9dchunk-9e3921da66da5d761ab73cd849af6c43'} -2024-10-30 05:52:19,055 - lightrag - INFO - get_node:query:MATCH (n:`A CHRISTMAS CAROL`) RETURN n:result:"A Christmas Carol is a famous novella by Charles Dickens that tells the story of Ebenezer Scrooge\'s transformation and redemption, particularly around the Christmas season.""A Christmas Carol is a literary work available through Project Gutenberg, indicating its role in literature and public access.""A Christmas Carol is a novella by Charles Dickens that explores themes of redemption, compassion, and the spirit of Christmas, first published in 1843.""A Christmas Carol is a literary work available through Project Gutenberg, indicating its role in literature and public access."', 'source_id': 'chunk-9e3921da66da5d761ab73cd849af6c43chunk-194cd9680f4967f48bea89678f7ece21'}> -2024-10-30 05:52:19,193 - lightrag - INFO - _do_upsert:query: - MERGE (n:`A CHRISTMAS CAROL`) - SET n += $properties - RETURN n - :result:{'entity_type': '"EVENT"', 'description': '"A Christmas Carol is a famous novella by Charles Dickens that tells the story of Ebenezer Scrooge\'s transformation and redemption, particularly around the Christmas season.""A Christmas Carol is a famous novella by Charles Dickens that tells the story of Ebenezer Scrooge\'s transformation and redemption, particularly around the Christmas season.""A Christmas Carol is a famous novella by Charles Dickens that tells the story of Ebenezer Scrooge\'s transformation and redemption, particularly around the Christmas season.""A Christmas Carol is a literary work available through Project Gutenberg, indicating its role in literature and public access.""A Christmas Carol is a novella by Charles Dickens that explores themes of redemption, compassion, and the spirit of Christmas, first published in 1843.""A Christmas Carol is a literary work available through Project Gutenberg, indicating its role in literature and public access.""A Christmas Carol is a literary work available through Project Gutenberg, indicating its role in literature and public access."', 'source_id': 'chunk-194cd9680f4967f48bea89678f7ece21chunk-9e3921da66da5d761ab73cd849af6c43'} -2024-10-30 05:52:19,327 - lightrag - INFO - get_node:query:MATCH (n:`CHARLES DICKENS`) RETURN n:result:"Charles Dickens is the author of A Christmas Carol, a prominent English writer known for his literary contributions in the 19th century.""Charles Dickens is the author of A Christmas Carol, a prominent English writer known for his literary contributions in the 19th century."', 'source_id': 'chunk-9e3921da66da5d761ab73cd849af6c43'}> -2024-10-30 05:52:19,465 - lightrag - INFO - _do_upsert:query: - MERGE (n:`CHARLES DICKENS`) - SET n += $properties - RETURN n - :result:{'entity_type': '"PERSON"', 'description': '"Charles Dickens is a renowned English writer and social critic, best known for his novels depicting Victorian society, including A Christmas Carol.""Charles Dickens is the author of A Christmas Carol, a prominent English writer known for his literary contributions in the 19th century.""Charles Dickens is the author of A Christmas Carol, a prominent English writer known for his literary contributions in the 19th century.""Charles Dickens is the author of A Christmas Carol, a prominent English writer known for his literary contributions in the 19th century."', 'source_id': 'chunk-9e3921da66da5d761ab73cd849af6c43'} -2024-10-30 05:52:19,591 - lightrag - INFO - get_node:query:MATCH (n:`ARTHUR RACKHAM`) RETURN n:result:"Arthur Rackham is the illustrator of A Christmas Carol, renowned for his distinctive style in illustrating classic literature.""Arthur Rackham was an English illustrator known for his imaginative and detailed illustrations for children\'s books, including A Christmas Carol."', 'source_id': 'chunk-9e3921da66da5d761ab73cd849af6c43'}> -2024-10-30 05:52:19,732 - lightrag - INFO - _do_upsert:query: - MERGE (n:`ARTHUR RACKHAM`) - SET n += $properties - RETURN n - :result:{'entity_type': '"PERSON"', 'description': '"Arthur Rackham is the illustrator of A Christmas Carol, renowned for his distinctive style in illustrating classic literature.""Arthur Rackham is the illustrator of A Christmas Carol, renowned for his distinctive style in illustrating classic literature.""Arthur Rackham is the illustrator of A Christmas Carol, renowned for his distinctive style in illustrating classic literature.""Arthur Rackham was an English illustrator known for his imaginative and detailed illustrations for children\'s books, including A Christmas Carol."', 'source_id': 'chunk-9e3921da66da5d761ab73cd849af6c43'} -2024-10-30 05:52:19,859 - lightrag - INFO - get_node:query:MATCH (n:`EBENEZER SCROOGE`) RETURN n:result:"Ebenezer Scrooge is a central character known for his past connections and interactions, especially with Fezziwig and Dick Wilkins.""Ebenezer Scrooge is a protagonist who experiences confusion and fear regarding the passage of time and supernatural events, especially concerned about a ghostly visitation.""Ebenezer Scrooge is the main character of A Christmas Carol, portrayed as a miserly and greedy old man who experiences a transformation through the visitation of spirits.""Ebenezer Scrooge is the main character of A Christmas Carol, depicted as a miserly and cold-hearted man who undergoes a significant transformation.""Ebenezer Scrooge is the main character who experiences a profound transformation through his encounters with supernatural entities.""Ebenezer Scrooge is the main character of A Christmas Carol, depicted as a miserly and cold-hearted man who undergoes a significant transformation.""Ebenezer Scrooge is the main character who experiences a profound transformation through his encounters with supernatural entities."', 'source_id': 'chunk-9e3921da66da5d761ab73cd849af6c43chunk-c7b10789a9cb0af6c553730b29bd9034chunk-8bc1edd983869352d14cf0886a9175a7'}> -2024-10-30 05:52:19,996 - lightrag - INFO - _do_upsert:query: - MERGE (n:`EBENEZER SCROOGE`) - SET n += $properties - RETURN n - :result:{'entity_type': '"PERSON"', 'description': '"Ebenezer Scrooge is a central character known for his past connections and interactions, especially with Fezziwig and Dick Wilkins.""Ebenezer Scrooge is a central character known for his past connections and interactions, especially with Fezziwig and Dick Wilkins.""Ebenezer Scrooge is a central character known for his past connections and interactions, especially with Fezziwig and Dick Wilkins.""Ebenezer Scrooge is a protagonist who experiences confusion and fear regarding the passage of time and supernatural events, especially concerned about a ghostly visitation.""Ebenezer Scrooge is the main character of A Christmas Carol, portrayed as a miserly and greedy old man who experiences a transformation through the visitation of spirits.""Ebenezer Scrooge is the main character of A Christmas Carol, depicted as a miserly and cold-hearted man who undergoes a significant transformation.""Ebenezer Scrooge is the main character who experiences a profound transformation through his encounters with supernatural entities.""Ebenezer Scrooge is the main character of A Christmas Carol, depicted as a miserly and cold-hearted man who undergoes a significant transformation.""Ebenezer Scrooge is the main character who experiences a profound transformation through his encounters with supernatural entities.""Ebenezer Scrooge is the main character of A Christmas Carol, depicted as a miserly and cold-hearted man who undergoes a significant transformation.""Ebenezer Scrooge is the main character who experiences a profound transformation through his encounters with supernatural entities."', 'source_id': 'chunk-8bc1edd983869352d14cf0886a9175a7chunk-c7b10789a9cb0af6c553730b29bd9034chunk-9e3921da66da5d761ab73cd849af6c43'} -2024-10-30 05:52:20,136 - lightrag - INFO - get_node:query:MATCH (n:`BOB CRATCHIT`) RETURN n:result:chunk-83ac129dc9b56f84c46760d153d68e93chunk-91572b3cd42786ba4cb2f180ca25cbf4chunk-9e3921da66da5d761ab73cd849af6c43chunk-503f0bfa5453467c7c61d160a3540ecachunk-19d72c57ae3408758b18d2568e86dc6bchunk-1d4b58de5429cd1261370c231c8673e8chunk-b0f459f5af1c3a5e0b92cbe4ee48b77bchunk-d9aac3484185ac66045df92214d245d5chunk-90b95db5c53e4364a6bee36b7aa4d70fchunk-7e2e7ebcc19a53b399dc03aded4743e7'}> -2024-10-30 05:52:20,139 - lightrag - DEBUG - Trigger summary: "BOB CRATCHIT" -2024-10-30 05:52:20,243 - lightrag - INFO - get_node:query:MATCH (n:`TINY TIM`) RETURN n:result:chunk-83ac129dc9b56f84c46760d153d68e93chunk-91572b3cd42786ba4cb2f180ca25cbf4chunk-9e3921da66da5d761ab73cd849af6c43chunk-19d72c57ae3408758b18d2568e86dc6bchunk-503f0bfa5453467c7c61d160a3540ecachunk-1d4b58de5429cd1261370c231c8673e8chunk-90b95db5c53e4364a6bee36b7aa4d70fchunk-7e2e7ebcc19a53b399dc03aded4743e7chunk-8f738cb25d60a7dab782162d9d0a25ed'}> -2024-10-30 05:52:20,246 - lightrag - DEBUG - Trigger summary: "TINY TIM" -2024-10-30 05:52:20,348 - lightrag - INFO - get_node:query:MATCH (n:`MR. FEZZIWIG`) RETURN n:result:"Mr. Fezziwig is a kind-hearted merchant and former employer of Scrooge, representing joy and generosity in contrast to Scrooge\'s character.""Mr. Fezziwig is a kind-hearted old merchant who served as a mentor to Scrooge, representing generosity and the joy of Christmas through his festive parties."', 'source_id': 'chunk-9e3921da66da5d761ab73cd849af6c43'}> -2024-10-30 05:52:20,485 - lightrag - INFO - _do_upsert:query: - MERGE (n:`MR. FEZZIWIG`) - SET n += $properties - RETURN n - :result:{'entity_type': '"PERSON"', 'description': '"Mr. Fezziwig is a kind-hearted merchant and former employer of Scrooge, representing joy and generosity in contrast to Scrooge\'s character.""Mr. Fezziwig is a kind-hearted merchant and former employer of Scrooge, representing joy and generosity in contrast to Scrooge\'s character.""Mr. Fezziwig is a kind-hearted merchant and former employer of Scrooge, representing joy and generosity in contrast to Scrooge\'s character.""Mr. Fezziwig is a kind-hearted old merchant who served as a mentor to Scrooge, representing generosity and the joy of Christmas through his festive parties."', 'source_id': 'chunk-9e3921da66da5d761ab73cd849af6c43'} -2024-10-30 05:52:20,613 - lightrag - INFO - get_node:query:MATCH (n:`GHOST OF CHRISTMAS PAST`) RETURN n:result:"The Ghost of Christmas Past is a supernatural entity that aids Scrooge in reflecting on his past experiences and emotions.""The Ghost of Christmas Past is one of the spirits in A Christmas Carol that shows Scrooge his past, prompting reflection and change.""The Ghost of Christmas Past represents a spirit that guides Scrooge to revisit and reflect on his past experiences and memories.""The Ghost of Christmas Past is one of the spirits in A Christmas Carol that shows Scrooge his past, prompting reflection and change.""The Ghost of Christmas Past represents a spirit that guides Scrooge to revisit and reflect on his past experiences and memories."', 'source_id': 'chunk-9e3921da66da5d761ab73cd849af6c43chunk-bb21d58d36c6306fd8810ddd51c4a971'}> -2024-10-30 05:52:20,746 - lightrag - INFO - _do_upsert:query: - MERGE (n:`GHOST OF CHRISTMAS PAST`) - SET n += $properties - RETURN n - :result:{'entity_type': '"EVENT"', 'description': '"The Ghost of Christmas Past is a supernatural character that shows Scrooge his past, helping him understand the roots of his current miserliness.""The Ghost of Christmas Past is a supernatural entity that aids Scrooge in reflecting on his past experiences and emotions.""The Ghost of Christmas Past is one of the spirits in A Christmas Carol that shows Scrooge his past, prompting reflection and change.""The Ghost of Christmas Past represents a spirit that guides Scrooge to revisit and reflect on his past experiences and memories.""The Ghost of Christmas Past is one of the spirits in A Christmas Carol that shows Scrooge his past, prompting reflection and change.""The Ghost of Christmas Past represents a spirit that guides Scrooge to revisit and reflect on his past experiences and memories.""The Ghost of Christmas Past is one of the spirits in A Christmas Carol that shows Scrooge his past, prompting reflection and change.""The Ghost of Christmas Past represents a spirit that guides Scrooge to revisit and reflect on his past experiences and memories."', 'source_id': 'chunk-bb21d58d36c6306fd8810ddd51c4a971chunk-9e3921da66da5d761ab73cd849af6c43'} -2024-10-30 05:52:20,875 - lightrag - INFO - get_node:query:MATCH (n:`GHOST OF CHRISTMAS PRESENT`) RETURN n:result:"The Ghost of Christmas Present is a spirit that reveals to Scrooge the joys and struggles of the present Christmas season, emphasizing generosity and compassion.""The Ghost of Christmas Present is a spirit that represents generosity and joy, playing a pivotal role in teaching Scrooge valuable lessons about kindness and the Christmas spirit.""The Ghost of Christmas Present is a spirit that reveals the current struggles and joys of others, influencing Scrooge\'s perspective.""The Ghost of Christmas Present is a spirit that represents generosity and joy, playing a pivotal role in teaching Scrooge valuable lessons about kindness and the Christmas spirit.""The Ghost of Christmas Present is a spirit that reveals the current struggles and joys of others, influencing Scrooge\'s perspective."', 'source_id': 'chunk-9e3921da66da5d761ab73cd849af6c43chunk-843b5b2f944c7413d9ca876e2e2f151f'}> -2024-10-30 05:52:21,010 - lightrag - INFO - _do_upsert:query: - MERGE (n:`GHOST OF CHRISTMAS PRESENT`) - SET n += $properties - RETURN n - :result:{'entity_type': '"EVENT"', 'description': '"The Ghost of Christmas Present is a spirit that embodies generosity and abundance, leading Scrooge to self-reflection and understanding.""The Ghost of Christmas Present is a spirit that reveals to Scrooge the joys and struggles of the present Christmas season, emphasizing generosity and compassion.""The Ghost of Christmas Present is a spirit that represents generosity and joy, playing a pivotal role in teaching Scrooge valuable lessons about kindness and the Christmas spirit.""The Ghost of Christmas Present is a spirit that reveals the current struggles and joys of others, influencing Scrooge\'s perspective.""The Ghost of Christmas Present is a spirit that represents generosity and joy, playing a pivotal role in teaching Scrooge valuable lessons about kindness and the Christmas spirit.""The Ghost of Christmas Present is a spirit that reveals the current struggles and joys of others, influencing Scrooge\'s perspective.""The Ghost of Christmas Present is a spirit that represents generosity and joy, playing a pivotal role in teaching Scrooge valuable lessons about kindness and the Christmas spirit.""The Ghost of Christmas Present is a spirit that reveals the current struggles and joys of others, influencing Scrooge\'s perspective."', 'source_id': 'chunk-843b5b2f944c7413d9ca876e2e2f151fchunk-9e3921da66da5d761ab73cd849af6c43'} -2024-10-30 05:52:21,139 - lightrag - INFO - get_node:query:MATCH (n:`GHOST OF CHRISTMAS YET TO COME`) RETURN n:result:"The Ghost of Christmas Yet to Come is a foreboding spirit that shows Scrooge the potential consequences of his actions if he does not change.""The Ghost of Christmas Yet to Come is an apparition that presents Scrooge with a grim vision of his possible future if he doesn\'t change his ways.""The Ghost of Christmas Yet to Come is an event within the story that signifies Scrooge\'s confrontation with the future consequences of his actions.""The Ghost of Christmas Yet to Come signifies a pivotal moment where Scrooge is confronted with the potential futures resulting from his life choices.""The Ghost of Christmas Yet to Come signifies a pivotal moment where Scrooge is confronted with the potential futures resulting from his life choices."', 'source_id': 'chunk-9e3921da66da5d761ab73cd849af6c43chunk-02baee20cc9463dbe08170a8e1043e32'}> -2024-10-30 05:52:21,274 - lightrag - INFO - _do_upsert:query: - MERGE (n:`GHOST OF CHRISTMAS YET TO COME`) - SET n += $properties - RETURN n - :result:{'entity_type': '"EVENT"', 'description': '"The Ghost of Christmas Yet to Come is a foreboding spirit that shows Scrooge the potential consequences of his actions if he does not change.""The Ghost of Christmas Yet to Come is a foreboding spirit that shows Scrooge the potential consequences of his actions if he does not change.""The Ghost of Christmas Yet to Come is a foreboding spirit that shows Scrooge the potential consequences of his actions if he does not change.""The Ghost of Christmas Yet to Come is an apparition that presents Scrooge with a grim vision of his possible future if he doesn\'t change his ways.""The Ghost of Christmas Yet to Come is an event within the story that signifies Scrooge\'s confrontation with the future consequences of his actions.""The Ghost of Christmas Yet to Come signifies a pivotal moment where Scrooge is confronted with the potential futures resulting from his life choices.""The Ghost of Christmas Yet to Come signifies a pivotal moment where Scrooge is confronted with the potential futures resulting from his life choices.""The Ghost of Christmas Yet to Come signifies a pivotal moment where Scrooge is confronted with the potential futures resulting from his life choices."', 'source_id': 'chunk-02baee20cc9463dbe08170a8e1043e32chunk-9e3921da66da5d761ab73cd849af6c43'} -2024-10-30 05:52:21,406 - lightrag - INFO - get_node:query:MATCH (n:`FRED`) RETURN n:result:"Fred is Scrooge\'s nephew who expresses admiration for his uncle and proposes a toast in his honor during a Christmas gathering.""Fred is Scrooge\'s nephew, mentioned in the context of Scrooge\'s visit to his house.""Fred is Scrooge\'s nephew, representing the warmth and joy of family that Scrooge initially rejects.""Fred is Scrooge\'s niece by marriage who expresses surprise and warmth at Scrooge\'s unexpected visit for dinner.""Fred is Ebenezer Scrooge\'s nephew, who embodies the spirit of Christmas and represents familial love and joy.""Fred is Scrooge\'s nephew who expresses admiration for Scrooge and raises a toast to his uncle during a Christmas gathering.""Fred is Scrooge\'s nephew, representing familial love and the joy of Christmas gatherings.""Fred is Scrooge\'s nephew, who invites Scrooge to dinner, emphasizing familial connections and the spirit of Christmas.""Fred is Scrooge\'s nephew, who is surprised by Scrooge\'s visit and is depicted as a friendly figure during the Christmas gathering.""Fred is Ebenezer Scrooge\'s nephew, who embodies the spirit of Christmas and represents familial love and joy.""Fred is Scrooge\'s nephew who expresses admiration for Scrooge and raises a toast to his uncle during a Christmas gathering.""Fred is Scrooge\'s nephew, representing familial love and the joy of Christmas gatherings.""Fred is Scrooge\'s nephew, who invites Scrooge to dinner, emphasizing familial connections and the spirit of Christmas.""Fred is Scrooge\'s nephew, who is surprised by Scrooge\'s visit and is depicted as a friendly figure during the Christmas gathering."', 'source_id': 'chunk-94bea83e7153fc2064aa382b494936a1chunk-9e3921da66da5d761ab73cd849af6c43chunk-89777b838d5447c7bd1ec11282c4ee89chunk-8f738cb25d60a7dab782162d9d0a25edchunk-e7637ff18c5ded77a68cce0a87883fad'}> -2024-10-30 05:52:21,408 - lightrag - DEBUG - Trigger summary: "FRED" -2024-10-30 05:52:21,510 - lightrag - INFO - get_node:query:MATCH (n:`MRS. CRATCHIT`) RETURN n:result:chunk-9e3921da66da5d761ab73cd849af6c43chunk-19d72c57ae3408758b18d2568e86dc6bchunk-503f0bfa5453467c7c61d160a3540ecachunk-1d4b58de5429cd1261370c231c8673e8chunk-b0f459f5af1c3a5e0b92cbe4ee48b77bchunk-7e2e7ebcc19a53b399dc03aded4743e7'}> -2024-10-30 05:52:21,643 - lightrag - INFO - _do_upsert:query: - MERGE (n:`MRS. CRATCHIT`) - SET n += $properties - RETURN n - :result:{'entity_type': '"PERSON"', 'description': '"Mrs. Cratchit is Bob\'s wife, portrayed as devoted and hardworking, striving to create a joyous atmosphere for her family despite limited resources.""Mrs. Cratchit is Bob\'s wife, proud of her cooking skills, particularly the Christmas pudding, and plays a central role in the family\'s holiday celebration.""Mrs. Cratchit is Bob\'s wife, who expresses care for her family and shares in the emotional moments surrounding Tiny Tim\'s health.""Mrs. Cratchit is portrayed as outspoken and resentful towards Scrooge, yet ultimately participates in the Christmas festivities for her family\'s sake.""Mrs. Cratchit is the mother of the Cratchit family, depicted as nurturing and energetic, managing the Christmas preparations and caring for her children.""Mrs. Cratchit is the wife of Bob Cratchit, who supports her family and embodies warmth and resilience despite their struggles.""Mrs. Cratchit, the wife of Bob, is industrious and caring, focused on the well-being of her family."Mrs. Cratchit is depicted as Bob Cratchit\'s supportive and industrious wife, embodying warmth and resilience amidst their financial struggles. She plays a central role in managing the household and preparing festive meals, notably the Christmas pudding, showcasing her pride in family traditions and her cooking skills. Despite feeling strong disdain for Scrooge, she passionately engages in the Christmas festivities for the sake of her family, reflecting her nurturing nature and concern for her children\'s well-being, particularly in regard to Tiny Tim\'s health. Throughout the holiday preparations, Mrs. Cratchit displays her devotion and care, striving to create a joyous atmosphere despite their limited resources. She is portrayed as both outspoken and energetic, contributing to the emotional dynamics of the family while remaining focused on their shared experiences during the Christmas celebration.', 'source_id': 'chunk-19d72c57ae3408758b18d2568e86dc6bchunk-91572b3cd42786ba4cb2f180ca25cbf4chunk-503f0bfa5453467c7c61d160a3540ecachunk-1d4b58de5429cd1261370c231c8673e8chunk-b0f459f5af1c3a5e0b92cbe4ee48b77bchunk-7e2e7ebcc19a53b399dc03aded4743e7chunk-9e3921da66da5d761ab73cd849af6c43'} -2024-10-30 05:52:21,773 - lightrag - INFO - get_node:query:MATCH (n:`BELINDA CRATCHIT`) RETURN n:result:"Belinda Cratchit is one of Bob Cratchit\'s daughters, assisting her mother in laying the dining cloth.""Belinda is a daughter of Bob and Mrs. Cratchit, representing the Cratchit family\'s love and unity during difficult times.""Belinda Cratchit is one of Bob\'s daughters, assisting in household tasks and showing a strong familial bond.""Belinda is the daughter of Bob and Mrs. Cratchit, representing the innocence and joyful spirit of the Cratchit family.""Belinda Cratchit is one of Bob\'s daughters, assisting in household tasks and showing a strong familial bond.""Belinda is the daughter of Bob and Mrs. Cratchit, representing the innocence and joyful spirit of the Cratchit family."', 'source_id': 'chunk-9e3921da66da5d761ab73cd849af6c43chunk-7e2e7ebcc19a53b399dc03aded4743e7chunk-b0f459f5af1c3a5e0b92cbe4ee48b77b'}> -2024-10-30 05:52:21,908 - lightrag - INFO - _do_upsert:query: - MERGE (n:`BELINDA CRATCHIT`) - SET n += $properties - RETURN n - :result:{'entity_type': '"PERSON"', 'description': '"Belinda Cratchit is another daughter in the Cratchit family, depicted as participating in the festive meal by sweetening the apple sauce, showcasing her involvement in family traditions.""Belinda Cratchit is one of Bob Cratchit\'s daughters, assisting her mother in laying the dining cloth.""Belinda is a daughter of Bob and Mrs. Cratchit, representing the Cratchit family\'s love and unity during difficult times.""Belinda Cratchit is one of Bob\'s daughters, assisting in household tasks and showing a strong familial bond.""Belinda is the daughter of Bob and Mrs. Cratchit, representing the innocence and joyful spirit of the Cratchit family.""Belinda Cratchit is one of Bob\'s daughters, assisting in household tasks and showing a strong familial bond.""Belinda is the daughter of Bob and Mrs. Cratchit, representing the innocence and joyful spirit of the Cratchit family.""Belinda Cratchit is one of Bob\'s daughters, assisting in household tasks and showing a strong familial bond.""Belinda is the daughter of Bob and Mrs. Cratchit, representing the innocence and joyful spirit of the Cratchit family."', 'source_id': 'chunk-b0f459f5af1c3a5e0b92cbe4ee48b77bchunk-7e2e7ebcc19a53b399dc03aded4743e7chunk-9e3921da66da5d761ab73cd849af6c43'} -2024-10-30 05:52:22,043 - lightrag - INFO - get_node:query:MATCH (n:`MARTHA CRATCHIT`) RETURN n:result:"Martha is another daughter of Bob and Mrs. Cratchit, who, like her sister Belinda, symbolizes the warmth and togetherness in the Cratchit household.""Martha Cratchit is a daughter of Bob and Mrs. Cratchit, working as an apprentice at a milliner\'s and looking forward to the holiday for a good rest.""Martha is another daughter of Bob and Mrs. Cratchit, who shows love and care for her family.""Martha Cratchit is a daughter of Bob and Mrs. Cratchit, working as an apprentice at a milliner\'s and looking forward to the holiday for a good rest.""Martha is another daughter of Bob and Mrs. Cratchit, who shows love and care for her family."', 'source_id': 'chunk-9e3921da66da5d761ab73cd849af6c43chunk-19d72c57ae3408758b18d2568e86dc6bchunk-7e2e7ebcc19a53b399dc03aded4743e7'}> -2024-10-30 05:52:22,178 - lightrag - INFO - _do_upsert:query: - MERGE (n:`MARTHA CRATCHIT`) - SET n += $properties - RETURN n - :result:{'entity_type': '"PERSON"', 'description': '"Martha Cratchit is a daughter in the Cratchit family who contributes to the household and shows affection for her family, particularly her father Bob.""Martha is another daughter of Bob and Mrs. Cratchit, who, like her sister Belinda, symbolizes the warmth and togetherness in the Cratchit household.""Martha Cratchit is a daughter of Bob and Mrs. Cratchit, working as an apprentice at a milliner\'s and looking forward to the holiday for a good rest.""Martha is another daughter of Bob and Mrs. Cratchit, who shows love and care for her family.""Martha Cratchit is a daughter of Bob and Mrs. Cratchit, working as an apprentice at a milliner\'s and looking forward to the holiday for a good rest.""Martha is another daughter of Bob and Mrs. Cratchit, who shows love and care for her family.""Martha Cratchit is a daughter of Bob and Mrs. Cratchit, working as an apprentice at a milliner\'s and looking forward to the holiday for a good rest.""Martha is another daughter of Bob and Mrs. Cratchit, who shows love and care for her family."', 'source_id': 'chunk-7e2e7ebcc19a53b399dc03aded4743e7chunk-19d72c57ae3408758b18d2568e86dc6bchunk-9e3921da66da5d761ab73cd849af6c43'} -2024-10-30 05:52:22,311 - lightrag - INFO - get_node:query:MATCH (n:`JOE`) RETURN n:result:"Joe is a marine-store dealer depicted as receiving stolen goods, illustrating the consequences of crime and the darker sides of society.""Joe is portrayed as a character engaged in a conversation about the deceased, displaying a mix of humor and practicality in dealing with the possessions of the dead.""Joe is a character who interacts with others, demonstrating a sense of curiosity and disbelief regarding certain situations and comments.""Joe is a marine-store dealer and receiver of stolen goods, indicative of the darker, more unscrupulous elements of society.""Joe is an old character who engages in conversation about the deceased man\'s belongings, revealing his pragmatic and somewhat cynical perspective on life and death.""Joe is a character who interacts with others, demonstrating a sense of curiosity and disbelief regarding certain situations and comments.""Joe is a marine-store dealer and receiver of stolen goods, indicative of the darker, more unscrupulous elements of society.""Joe is an old character who engages in conversation about the deceased man\'s belongings, revealing his pragmatic and somewhat cynical perspective on life and death."', 'source_id': 'chunk-9e3921da66da5d761ab73cd849af6c43chunk-89777b838d5447c7bd1ec11282c4ee89chunk-e1f29eeadc1d8ab46dc8a0bbd3c56b64'}> -2024-10-30 05:52:22,447 - lightrag - INFO - _do_upsert:query: - MERGE (n:`JOE`) - SET n += $properties - RETURN n - :result:{'entity_type': '"PERSON"', 'description': '"Joe is a character engaged in a conversation, displaying curiosity and a sense of humor regarding a situation related to \'bed-curtains\'.""Joe is a marine-store dealer depicted as receiving stolen goods, illustrating the consequences of crime and the darker sides of society.""Joe is portrayed as a character engaged in a conversation about the deceased, displaying a mix of humor and practicality in dealing with the possessions of the dead.""Joe is a character who interacts with others, demonstrating a sense of curiosity and disbelief regarding certain situations and comments.""Joe is a marine-store dealer and receiver of stolen goods, indicative of the darker, more unscrupulous elements of society.""Joe is an old character who engages in conversation about the deceased man\'s belongings, revealing his pragmatic and somewhat cynical perspective on life and death.""Joe is a character who interacts with others, demonstrating a sense of curiosity and disbelief regarding certain situations and comments.""Joe is a marine-store dealer and receiver of stolen goods, indicative of the darker, more unscrupulous elements of society.""Joe is an old character who engages in conversation about the deceased man\'s belongings, revealing his pragmatic and somewhat cynical perspective on life and death.""Joe is a character who interacts with others, demonstrating a sense of curiosity and disbelief regarding certain situations and comments.""Joe is a marine-store dealer and receiver of stolen goods, indicative of the darker, more unscrupulous elements of society.""Joe is an old character who engages in conversation about the deceased man\'s belongings, revealing his pragmatic and somewhat cynical perspective on life and death."', 'source_id': 'chunk-89777b838d5447c7bd1ec11282c4ee89chunk-e1f29eeadc1d8ab46dc8a0bbd3c56b64chunk-9e3921da66da5d761ab73cd849af6c43'} -2024-10-30 05:52:22,583 - lightrag - INFO - get_node:query:MATCH (n:`GHOST OF JACOB MARLEY`) RETURN n:result:"The Ghost of Jacob Marley is the specter of Scrooge\'s former business partner, who warns Scrooge to change his ways.""The Ghost of Jacob Marley is the specter of Scrooge\'s former business partner, who warns Scrooge to change his ways."', 'source_id': 'chunk-9e3921da66da5d761ab73cd849af6c43'}> -2024-10-30 05:52:22,717 - lightrag - INFO - _do_upsert:query: - MERGE (n:`GHOST OF JACOB MARLEY`) - SET n += $properties - RETURN n - :result:{'entity_type': '"EVENT"', 'description': '"The Ghost of Jacob Marley is Scrooge\'s deceased business partner who returns as a spirit to warn Scrooge about the consequences of his life choices and to encourage change.""The Ghost of Jacob Marley is the specter of Scrooge\'s former business partner, who warns Scrooge to change his ways.""The Ghost of Jacob Marley is the specter of Scrooge\'s former business partner, who warns Scrooge to change his ways.""The Ghost of Jacob Marley is the specter of Scrooge\'s former business partner, who warns Scrooge to change his ways."', 'source_id': 'chunk-9e3921da66da5d761ab73cd849af6c43'} -2024-10-30 05:52:22,844 - lightrag - INFO - get_node:query:MATCH (n:`FAN`) RETURN n:result:"Fan is Ebenezer Scrooge\'s sister, who represents love and kindness from Scrooge\'s past, influencing his character development.""Fan is Scrooge\'s caring sister who represents innocence and love, showcasing a more tender side of Scrooge’s past.""Fan is Scrooge\'s younger sister, who brings joy and the promise of a happier home, reflecting on their childhood relationship.""Fan is Scrooge\'s younger sister, who brings joy and the promise of a happier home, reflecting on their childhood relationship."', 'source_id': 'chunk-9e3921da66da5d761ab73cd849af6c43chunk-c6c248858d1b13ab7ee9ca13c1aeed6b'}> -2024-10-30 05:52:22,980 - lightrag - INFO - _do_upsert:query: - MERGE (n:`FAN`) - SET n += $properties - RETURN n - :result:{'entity_type': '"PERSON"', 'description': '"Fan is Ebenezer Scrooge\'s sister, who represents love and kindness from Scrooge\'s past, influencing his character development.""Fan is Ebenezer Scrooge\'s sister, who represents love and kindness from Scrooge\'s past, influencing his character development.""Fan is Ebenezer Scrooge\'s sister, who represents love and kindness from Scrooge\'s past, influencing his character development.""Fan is Scrooge\'s caring sister who represents innocence and love, showcasing a more tender side of Scrooge’s past.""Fan is Scrooge\'s younger sister, who brings joy and the promise of a happier home, reflecting on their childhood relationship.""Fan is Scrooge\'s younger sister, who brings joy and the promise of a happier home, reflecting on their childhood relationship.""Fan is Scrooge\'s younger sister, who brings joy and the promise of a happier home, reflecting on their childhood relationship."', 'source_id': 'chunk-c6c248858d1b13ab7ee9ca13c1aeed6bchunk-9e3921da66da5d761ab73cd849af6c43'} -2024-10-30 05:52:23,110 - lightrag - INFO - get_node:query:MATCH (n:`MRS. FEZZIWIG`) RETURN n:result:"Mrs. Fezziwig is the kind partner of Mr. Fezziwig, contributing to the festive atmosphere of their celebrations, emphasizing the importance of joyous gatherings.""Mrs. Fezziwig is the wife of Fezziwig, joining him in celebrations and dances, embodying warmth and partnership.""Mrs. Fezziwig is the wife of Fezziwig, participating in the dance, representing companionship and festive cheer.""Mrs. Fezziwig is noted for her smile and participation in the festivities, particularly in dancing with Fezziwig.""Mrs. Fezziwig is the partner of Mr. Fezziwig, known for her warmth and joyous nature during Christmas celebrations.""Mrs. Fezziwig partners with Fezziwig in hosting the domestic ball, contributing to the warmth and cheer of the event.""Mrs. Fezziwig is noted for her smile and participation in the festivities, particularly in dancing with Fezziwig.""Mrs. Fezziwig is the partner of Mr. Fezziwig, known for her warmth and joyous nature during Christmas celebrations.""Mrs. Fezziwig partners with Fezziwig in hosting the domestic ball, contributing to the warmth and cheer of the event."', 'source_id': 'chunk-9e3921da66da5d761ab73cd849af6c43chunk-89777b838d5447c7bd1ec11282c4ee89chunk-8bc1edd983869352d14cf0886a9175a7chunk-b2f98bc7abb0c67d4c86055c7fd72218'}> -2024-10-30 05:52:23,245 - lightrag - INFO - _do_upsert:query: - MERGE (n:`MRS. FEZZIWIG`) - SET n += $properties - RETURN n - :result:{'entity_type': '"PERSON"', 'description': '"Mrs. Fezziwig is Fezziwig\'s partner at the domestic ball, contributing to the festive atmosphere alongside her husband.""Mrs. Fezziwig is the kind partner of Mr. Fezziwig, contributing to the festive atmosphere of their celebrations, emphasizing the importance of joyous gatherings.""Mrs. Fezziwig is the wife of Fezziwig, joining him in celebrations and dances, embodying warmth and partnership.""Mrs. Fezziwig is the wife of Fezziwig, participating in the dance, representing companionship and festive cheer.""Mrs. Fezziwig is noted for her smile and participation in the festivities, particularly in dancing with Fezziwig.""Mrs. Fezziwig is the partner of Mr. Fezziwig, known for her warmth and joyous nature during Christmas celebrations.""Mrs. Fezziwig partners with Fezziwig in hosting the domestic ball, contributing to the warmth and cheer of the event.""Mrs. Fezziwig is noted for her smile and participation in the festivities, particularly in dancing with Fezziwig.""Mrs. Fezziwig is the partner of Mr. Fezziwig, known for her warmth and joyous nature during Christmas celebrations.""Mrs. Fezziwig partners with Fezziwig in hosting the domestic ball, contributing to the warmth and cheer of the event.""Mrs. Fezziwig is noted for her smile and participation in the festivities, particularly in dancing with Fezziwig.""Mrs. Fezziwig is the partner of Mr. Fezziwig, known for her warmth and joyous nature during Christmas celebrations.""Mrs. Fezziwig partners with Fezziwig in hosting the domestic ball, contributing to the warmth and cheer of the event."', 'source_id': 'chunk-89777b838d5447c7bd1ec11282c4ee89chunk-8bc1edd983869352d14cf0886a9175a7chunk-b2f98bc7abb0c67d4c86055c7fd72218chunk-9e3921da66da5d761ab73cd849af6c43'} -2024-10-30 05:52:23,394 - lightrag - INFO - get_node:query:MATCH (n:`FEZZIWIG`) RETURN n:result:"Fezziwig is a character known for hosting a domestic ball that brings joy and merriment to the participants, showcasing his ability to create happiness.""Fezziwig is a character noted for his role during a domestic ball, providing a joyful atmosphere and exemplifying kindness and generosity.""Fezziwig is a figure representing a cheerful and jovial employer who organizes lively Christmas festivities for his employees.""Fezziwig is a jovial figure from Scrooge\'s past, known for his kind-heartedness and as a former employer who embodies the spirit of Christmas.""Fezziwig is depicted as a joyful character who dances with his wife and embodies the spirit of Christmas.""Fezziwig is a joyful and lively character who dances with Mrs. Fezziwig, embodying the festive spirit of Christmas.""Fezziwig is presented as Scrooge\'s former employer, known for his jovial nature and generous spirit, who plays a significant role in Scrooge\'s memories.""Fezziwig is the owner of a business where festive celebrations take place, known for his jovial character and ability to create a lively atmosphere.""Fezziwig is a joyful and lively character who dances with Mrs. Fezziwig, embodying the festive spirit of Christmas.""Fezziwig is presented as Scrooge\'s former employer, known for his jovial nature and generous spirit, who plays a significant role in Scrooge\'s memories.""Fezziwig is the owner of a business where festive celebrations take place, known for his jovial character and ability to create a lively atmosphere."', 'source_id': 'chunk-b2f98bc7abb0c67d4c86055c7fd72218chunk-c6c248858d1b13ab7ee9ca13c1aeed6bchunk-8bc1edd983869352d14cf0886a9175a7chunk-89777b838d5447c7bd1ec11282c4ee89'}> -2024-10-30 05:52:23,396 - lightrag - DEBUG - Trigger summary: "FEZZIWIG" -2024-10-30 05:52:23,517 - lightrag - INFO - get_node:query:MATCH (n:`SCROOGE`) RETURN n:result:chunk-19d72c57ae3408758b18d2568e86dc6bchunk-d9aac3484185ac66045df92214d245d5chunk-b0f459f5af1c3a5e0b92cbe4ee48b77bchunk-74e2466de2f67fd710ef2f20c0a8d9e0chunk-90d5764e301321c087f5a8f78b73a145chunk-89777b838d5447c7bd1ec11282c4ee89chunk-da2472b4ef2a535b62908f14d0fb0ca9chunk-8590d9263cd2cd4fa583c432fc54e6c3chunk-e7637ff18c5ded77a68cce0a87883fadchunk-9c43dac2fcd5b578242d907ea6f8fc7bchunk-e1f29eeadc1d8ab46dc8a0bbd3c56b64chunk-91614df5cb74cbe5e109a338a82041e9chunk-90b95db5c53e4364a6bee36b7aa4d70fchunk-1aa50206d02ed89418f65f97c6441d1cchunk-43c9bee23adfa77aa9dedd22401bba7dchunk-02baee20cc9463dbe08170a8e1043e32chunk-f1a4fbcf1ed86864b9bfd5e8dba4c683chunk-773d0df1dd25c356f7b771d780583e09chunk-5dac41b3f9eeaf794f0147400b1718cdchunk-503f0bfa5453467c7c61d160a3540ecachunk-91572b3cd42786ba4cb2f180ca25cbf4chunk-cb661c37436355ccec2769b1d0350c5fchunk-b2f98bc7abb0c67d4c86055c7fd72218chunk-359187e7571bda4b0b08b2e0b6581e52chunk-99b0ec7f7e006561352b5d65e849611dchunk-8f738cb25d60a7dab782162d9d0a25edchunk-843b5b2f944c7413d9ca876e2e2f151fchunk-83ac129dc9b56f84c46760d153d68e93chunk-c6c248858d1b13ab7ee9ca13c1aeed6bchunk-54bdd22db1f84a965b5f4c06c9216d8dchunk-c7b10789a9cb0af6c553730b29bd9034chunk-bb21d58d36c6306fd8810ddd51c4a971'}> -2024-10-30 05:52:23,521 - lightrag - DEBUG - Trigger summary: "SCROOGE" -2024-10-30 05:52:23,620 - lightrag - INFO - get_node:query:MATCH (n:`MARLEY`) RETURN n:result:"Marley is Scrooge\'s deceased business partner whose presence looms over the story, symbolizing the consequences of a life similar to Scrooge\'s.""Marley is Scrooge\'s deceased business partner, whose death is a significant event that sets the tone for the story.""Marley is Scrooge\'s deceased business partner, whose death is mentioned as impactful, having passed seven years prior to the events in the text.""Marley is Scrooge\'s deceased business partner, whose spectral presence looms over Scrooge, evoking themes of regret and the supernatural.""Marley is Scrooge\'s deceased partner whose death is emphasized, and who impacts Scrooge\'s story through memories and reflections.""Marley is a character who, although only mentioned, has had a significant influence on Scrooge\'s life and perspective, representing his past connections.""Marley is a deceased character whose ghost appears to Scrooge, representing regret and the consequences of a life led without compassion.""Marley is depicted as a ghost, having a pigtail, waistcoat, tights, and boots, and is central to Scrooge\'s haunting experience.""Marley is Scrooge\'s deceased business partner, whose death is a significant event that sets the tone for the story.""Marley is Scrooge\'s deceased business partner, whose death is mentioned as impactful, having passed seven years prior to the events in the text.""Marley is depicted as a ghost, having a pigtail, waistcoat, tights, and boots, and is central to Scrooge\'s haunting experience."', 'source_id': 'chunk-843b5b2f944c7413d9ca876e2e2f151fchunk-5dac41b3f9eeaf794f0147400b1718cdchunk-d9aac3484185ac66045df92214d245d5chunk-9c43dac2fcd5b578242d907ea6f8fc7bchunk-89777b838d5447c7bd1ec11282c4ee89'}> -2024-10-30 05:52:23,622 - lightrag - DEBUG - Trigger summary: "MARLEY" -2024-10-30 05:52:23,718 - lightrag - INFO - get_node:query:MATCH (n:`CHRISTMAS`) RETURN n:result:chunk-74e2466de2f67fd710ef2f20c0a8d9e0chunk-90d5764e301321c087f5a8f78b73a145chunk-89777b838d5447c7bd1ec11282c4ee89chunk-da2472b4ef2a535b62908f14d0fb0ca9chunk-8590d9263cd2cd4fa583c432fc54e6c3chunk-e7637ff18c5ded77a68cce0a87883fadchunk-91614df5cb74cbe5e109a338a82041e9chunk-43c9bee23adfa77aa9dedd22401bba7dchunk-02baee20cc9463dbe08170a8e1043e32chunk-773d0df1dd25c356f7b771d780583e09chunk-5dac41b3f9eeaf794f0147400b1718cdchunk-503f0bfa5453467c7c61d160a3540ecachunk-91572b3cd42786ba4cb2f180ca25cbf4chunk-99b0ec7f7e006561352b5d65e849611dchunk-1d4b58de5429cd1261370c231c8673e8chunk-c6c248858d1b13ab7ee9ca13c1aeed6bchunk-54bdd22db1f84a965b5f4c06c9216d8dchunk-8f738cb25d60a7dab782162d9d0a25ed'}> -2024-10-30 05:52:23,721 - lightrag - DEBUG - Trigger summary: "CHRISTMAS" -2024-10-30 05:52:23,818 - lightrag - INFO - get_node:query:MATCH (n:`THE WAREHOUSE`) RETURN n:result:"The Warehouse is the setting for Fezziwig\'s celebrations, transformed into a ballroom for the festivities.""The Warehouse is the place of business shared by Scrooge and Marley, a symbol of their partnership in life and business.""The Warehouse serves as the setting for Scrooge\'s memories of Fezziwig\'s jovial nature and the lively gatherings during his apprenticeship.""The Warehouse is the place of business shared by Scrooge and Marley, a symbol of their partnership in life and business.""The Warehouse serves as the setting for Scrooge\'s memories of Fezziwig\'s jovial nature and the lively gatherings during his apprenticeship."', 'source_id': 'chunk-c6c248858d1b13ab7ee9ca13c1aeed6bchunk-8bc1edd983869352d14cf0886a9175a7chunk-89777b838d5447c7bd1ec11282c4ee89'}> -2024-10-30 05:52:23,958 - lightrag - INFO - _do_upsert:query: - MERGE (n:`THE WAREHOUSE`) - SET n += $properties - RETURN n - :result:{'entity_type': '"ORGANIZATION"', 'description': '"The Warehouse is a specific location where Scrooge had previously apprenticed and holds significant memories for him.""The Warehouse is the setting for Fezziwig\'s celebrations, transformed into a ballroom for the festivities.""The Warehouse is the place of business shared by Scrooge and Marley, a symbol of their partnership in life and business.""The Warehouse serves as the setting for Scrooge\'s memories of Fezziwig\'s jovial nature and the lively gatherings during his apprenticeship.""The Warehouse is the place of business shared by Scrooge and Marley, a symbol of their partnership in life and business.""The Warehouse serves as the setting for Scrooge\'s memories of Fezziwig\'s jovial nature and the lively gatherings during his apprenticeship.""The Warehouse is the place of business shared by Scrooge and Marley, a symbol of their partnership in life and business.""The Warehouse serves as the setting for Scrooge\'s memories of Fezziwig\'s jovial nature and the lively gatherings during his apprenticeship."', 'source_id': 'chunk-89777b838d5447c7bd1ec11282c4ee89chunk-8bc1edd983869352d14cf0886a9175a7chunk-c6c248858d1b13ab7ee9ca13c1aeed6b'} -2024-10-30 05:52:24,089 - lightrag - INFO - get_node:query:MATCH (n:`THE WOMAN`) RETURN n:result:"The Woman is a character involved in the dialogue about the deceased\'s belongings, showing a carefree attitude towards their former owner.""The Woman is a character who enters the shop with a heavy bundle and demonstrates a bold and defiant demeanor, eager to take part in the conversation about the deceased\'s belongings.""The Woman engages in conversation with Joe, providing light-hearted responses and laughing at the absurdity of their discussions.""The Woman is an unknown character, bold and defiant, who instigates the gathering and discusses the deceased with a lack of reverence.""The Woman is another character who interacts with Joe, demonstrating a lack of reverence for the deceased and a focus on material gain.""The Woman engages in conversation with Joe, providing light-hearted responses and laughing at the absurdity of their discussions.""The Woman is an unknown character, bold and defiant, who instigates the gathering and discusses the deceased with a lack of reverence.""The Woman is another character who interacts with Joe, demonstrating a lack of reverence for the deceased and a focus on material gain."', 'source_id': 'chunk-60fc063c79fc0d4acc91a57e79de04dcchunk-89777b838d5447c7bd1ec11282c4ee89chunk-e1f29eeadc1d8ab46dc8a0bbd3c56b64'}> -2024-10-30 05:52:24,223 - lightrag - INFO - _do_upsert:query: - MERGE (n:`THE WOMAN`) - SET n += $properties - RETURN n - :result:{'entity_type': '"PERSON"', 'description': '"The Woman engages in a humorous exchange with Joe about taking down bed-curtains, showcasing lively communication among characters.""The Woman is a character involved in the dialogue about the deceased\'s belongings, showing a carefree attitude towards their former owner.""The Woman is a character who enters the shop with a heavy bundle and demonstrates a bold and defiant demeanor, eager to take part in the conversation about the deceased\'s belongings.""The Woman engages in conversation with Joe, providing light-hearted responses and laughing at the absurdity of their discussions.""The Woman is an unknown character, bold and defiant, who instigates the gathering and discusses the deceased with a lack of reverence.""The Woman is another character who interacts with Joe, demonstrating a lack of reverence for the deceased and a focus on material gain.""The Woman engages in conversation with Joe, providing light-hearted responses and laughing at the absurdity of their discussions.""The Woman is an unknown character, bold and defiant, who instigates the gathering and discusses the deceased with a lack of reverence.""The Woman is another character who interacts with Joe, demonstrating a lack of reverence for the deceased and a focus on material gain.""The Woman engages in conversation with Joe, providing light-hearted responses and laughing at the absurdity of their discussions.""The Woman is an unknown character, bold and defiant, who instigates the gathering and discusses the deceased with a lack of reverence.""The Woman is another character who interacts with Joe, demonstrating a lack of reverence for the deceased and a focus on material gain."', 'source_id': 'chunk-89777b838d5447c7bd1ec11282c4ee89chunk-60fc063c79fc0d4acc91a57e79de04dcchunk-e1f29eeadc1d8ab46dc8a0bbd3c56b64'} -2024-10-30 05:52:24,355 - lightrag - INFO - get_node:query:MATCH (n:`TIM`) RETURN n:result: -2024-10-30 05:52:24,487 - lightrag - INFO - _do_upsert:query: - MERGE (n:`TIM`) - SET n += $properties - RETURN n - :result:{'entity_type': '"PERSON"', 'description': '"Tim is mentioned as someone important to Scrooge, indicating familial ties and possibly evoking sympathy and regret from Scrooge\'s character."', 'source_id': 'chunk-89777b838d5447c7bd1ec11282c4ee89'} -2024-10-30 05:52:24,614 - lightrag - INFO - get_node:query:MATCH (n:`THE LACE TUCKER`) RETURN n:result:"The Lace Tucker is a fashionable accessory worn by one of Scrooge\'s Niece\'s sisters, representing the social settings and themes of appearance in the gathering.""The Lace Tucker is a small event within the text, illustrating moments of humor and social interactions among characters.""The Lace Tucker is a small event within the text, illustrating moments of humor and social interactions among characters."', 'source_id': 'chunk-89777b838d5447c7bd1ec11282c4ee89chunk-773d0df1dd25c356f7b771d780583e09'}> -2024-10-30 05:52:24,744 - lightrag - INFO - _do_upsert:query: - MERGE (n:`THE LACE TUCKER`) - SET n += $properties - RETURN n - :result:{'entity_type': '"EVENT"', 'description': '"The Lace Tucker is a fashionable accessory worn by one of Scrooge\'s Niece\'s sisters, representing the social settings and themes of appearance in the gathering.""The Lace Tucker is a fashionable accessory worn by one of Scrooge\'s Niece\'s sisters, representing the social settings and themes of appearance in the gathering.""The Lace Tucker is a fashionable accessory worn by one of Scrooge\'s Niece\'s sisters, representing the social settings and themes of appearance in the gathering.""The Lace Tucker is a small event within the text, illustrating moments of humor and social interactions among characters.""The Lace Tucker is a small event within the text, illustrating moments of humor and social interactions among characters.""The Lace Tucker is a small event within the text, illustrating moments of humor and social interactions among characters."', 'source_id': 'chunk-89777b838d5447c7bd1ec11282c4ee89chunk-773d0df1dd25c356f7b771d780583e09'} -2024-10-30 05:52:24,877 - lightrag - INFO - get_node:query:MATCH (n:`OLD SCROOGE`) RETURN n:result: -2024-10-30 05:52:25,011 - lightrag - INFO - _do_upsert:query: - MERGE (n:`OLD SCROOGE`) - SET n += $properties - RETURN n - :result:{'entity_type': '"PERSON"', 'description': '"Old Scrooge represents an earlier version of Scrooge, depicted in memories or recollections and emphasizing his character\'s history."', 'source_id': 'chunk-89777b838d5447c7bd1ec11282c4ee89'} -2024-10-30 05:52:25,134 - lightrag - INFO - get_node:query:MATCH (n:`THE FUNERAL`) RETURN n:result:"The Funeral is a context for conversation among characters, reflecting on mortality and social connections surrounding death.""The Funeral of Marley is a significant event that highlights Scrooge\'s relationship with Marley and sets the tone for their partnership and Scrooge\'s eventual path.""The Funeral serves as a significant event reflecting on Marley\'s death, noted for its business-like atmosphere as perceived by Scrooge.""The Funeral of Marley is a significant event that highlights Scrooge\'s relationship with Marley and sets the tone for their partnership and Scrooge\'s eventual path."', 'source_id': 'chunk-f1a4fbcf1ed86864b9bfd5e8dba4c683chunk-89777b838d5447c7bd1ec11282c4ee89'}> -2024-10-30 05:52:25,271 - lightrag - INFO - _do_upsert:query: - MERGE (n:`THE FUNERAL`) - SET n += $properties - RETURN n - :result:{'entity_type': '"EVENT"', 'description': '"The Funeral is a context for conversation among characters, reflecting on mortality and social connections surrounding death.""The Funeral is a context for conversation among characters, reflecting on mortality and social connections surrounding death.""The Funeral is a context for conversation among characters, reflecting on mortality and social connections surrounding death.""The Funeral of Marley is a significant event that highlights Scrooge\'s relationship with Marley and sets the tone for their partnership and Scrooge\'s eventual path.""The Funeral serves as a significant event reflecting on Marley\'s death, noted for its business-like atmosphere as perceived by Scrooge.""The Funeral of Marley is a significant event that highlights Scrooge\'s relationship with Marley and sets the tone for their partnership and Scrooge\'s eventual path.""The Funeral of Marley is a significant event that highlights Scrooge\'s relationship with Marley and sets the tone for their partnership and Scrooge\'s eventual path."', 'source_id': 'chunk-89777b838d5447c7bd1ec11282c4ee89chunk-f1a4fbcf1ed86864b9bfd5e8dba4c683'} -2024-10-30 05:52:25,401 - lightrag - INFO - get_node:query:MATCH (n:`SCROOGE'S NEPHEW`) RETURN n:result:"Scrooge\'s Nephew is a cheerful and optimistic character who challenges Scrooge\'s gloomy outlook on Christmas and life.""Scrooge\'s Nephew is a cheerful and optimistic character who represents the spirit of Christmas, opposing Scrooge\'s views.""Scrooge\'s Nephew is characterized by his contagious laughter and good humor, contrasting with his uncle\'s miserliness.""Scrooge\'s Nephew is portrayed as optimistic about Christmas, emphasizing its positive qualities despite Scrooge\'s negativity.""Scrooge\'s nephew is a character present at the gathering who actively participates in the games and engages with his family.""Scrooge\'s Nephew is a jovial character known for his infectious laughter and optimistic attitude towards Christmas, finding humor in Scrooge\'s ill temper and wealth.""Scrooge\'s Nephew is portrayed as warm-hearted and attempts to engage his uncle in the spirit of Christmas, despite Scrooge\'s rebuff.""Scrooge\'s nephew is portrayed as a joyful character who embodies laughter and good-humor, contrasting with Scrooge\'s initial persona.""Scrooge\'s Nephew is a jovial character known for his infectious laughter and optimistic attitude towards Christmas, finding humor in Scrooge\'s ill temper and wealth.""Scrooge\'s Nephew is portrayed as warm-hearted and attempts to engage his uncle in the spirit of Christmas, despite Scrooge\'s rebuff.""Scrooge\'s nephew is portrayed as a joyful character who embodies laughter and good-humor, contrasting with Scrooge\'s initial persona."', 'source_id': 'chunk-773d0df1dd25c356f7b771d780583e09chunk-5dac41b3f9eeaf794f0147400b1718cdchunk-74e2466de2f67fd710ef2f20c0a8d9e0chunk-91614df5cb74cbe5e109a338a82041e9chunk-43c9bee23adfa77aa9dedd22401bba7d'}> -2024-10-30 05:52:25,537 - lightrag - INFO - _do_upsert:query: - MERGE (n:`SCROOGE'S NEPHEW`) - SET n += $properties - RETURN n - :result:{'entity_type': '"PERSON"', 'description': '"Scrooge\'s Nephew is a cheerful and optimistic character who challenges Scrooge\'s gloomy outlook on Christmas and life.""Scrooge\'s Nephew is a cheerful and optimistic character who challenges Scrooge\'s gloomy outlook on Christmas and life.""Scrooge\'s Nephew is a cheerful and optimistic character who challenges Scrooge\'s gloomy outlook on Christmas and life.""Scrooge\'s Nephew is a cheerful and optimistic character who represents the spirit of Christmas, opposing Scrooge\'s views.""Scrooge\'s Nephew is characterized by his contagious laughter and good humor, contrasting with his uncle\'s miserliness.""Scrooge\'s Nephew is portrayed as optimistic about Christmas, emphasizing its positive qualities despite Scrooge\'s negativity.""Scrooge\'s nephew is a character present at the gathering who actively participates in the games and engages with his family.""Scrooge\'s Nephew is a jovial character known for his infectious laughter and optimistic attitude towards Christmas, finding humor in Scrooge\'s ill temper and wealth.""Scrooge\'s Nephew is portrayed as warm-hearted and attempts to engage his uncle in the spirit of Christmas, despite Scrooge\'s rebuff.""Scrooge\'s nephew is portrayed as a joyful character who embodies laughter and good-humor, contrasting with Scrooge\'s initial persona.""Scrooge\'s Nephew is a jovial character known for his infectious laughter and optimistic attitude towards Christmas, finding humor in Scrooge\'s ill temper and wealth.""Scrooge\'s Nephew is portrayed as warm-hearted and attempts to engage his uncle in the spirit of Christmas, despite Scrooge\'s rebuff.""Scrooge\'s nephew is portrayed as a joyful character who embodies laughter and good-humor, contrasting with Scrooge\'s initial persona.""Scrooge\'s Nephew is a jovial character known for his infectious laughter and optimistic attitude towards Christmas, finding humor in Scrooge\'s ill temper and wealth.""Scrooge\'s Nephew is portrayed as warm-hearted and attempts to engage his uncle in the spirit of Christmas, despite Scrooge\'s rebuff.""Scrooge\'s nephew is portrayed as a joyful character who embodies laughter and good-humor, contrasting with Scrooge\'s initial persona."', 'source_id': 'chunk-91614df5cb74cbe5e109a338a82041e9chunk-74e2466de2f67fd710ef2f20c0a8d9e0chunk-5dac41b3f9eeaf794f0147400b1718cdchunk-43c9bee23adfa77aa9dedd22401bba7dchunk-773d0df1dd25c356f7b771d780583e09'} -2024-10-30 05:52:25,668 - lightrag - INFO - get_node:query:MATCH (n:`COUNTING-HOUSE`) RETURN n:result:"Scrooge\'s counting-house is the place of his work, characterized by coldness and a lack of warmth or holiday spirit.""The Counting-House is a physical space representing the business environment where Scrooge and Marley engaged in trade but also symbolizes their limited worldview.""The Counting-house is the place where Scrooge conducted his business and represents the limitations of his previous life.""The Counting-house is the place where Scrooge conducted his business and represents the limitations of his previous life."', 'source_id': 'chunk-74e2466de2f67fd710ef2f20c0a8d9e0chunk-359187e7571bda4b0b08b2e0b6581e52'}> -2024-10-30 05:52:25,801 - lightrag - INFO - _do_upsert:query: - MERGE (n:`COUNTING-HOUSE`) - SET n += $properties - RETURN n - :result:{'entity_type': '"LOCATION"', 'description': '"Scrooge\'s counting-house is the place of his work, characterized by coldness and a lack of warmth or holiday spirit.""Scrooge\'s counting-house is the place of his work, characterized by coldness and a lack of warmth or holiday spirit.""Scrooge\'s counting-house is the place of his work, characterized by coldness and a lack of warmth or holiday spirit.""The Counting-House is a physical space representing the business environment where Scrooge and Marley engaged in trade but also symbolizes their limited worldview.""The Counting-house is the place where Scrooge conducted his business and represents the limitations of his previous life.""The Counting-house is the place where Scrooge conducted his business and represents the limitations of his previous life.""The Counting-house is the place where Scrooge conducted his business and represents the limitations of his previous life."', 'source_id': 'chunk-74e2466de2f67fd710ef2f20c0a8d9e0chunk-359187e7571bda4b0b08b2e0b6581e52'} -2024-10-30 05:52:25,934 - lightrag - INFO - get_node:query:MATCH (n:`BEGGARS`) RETURN n:result: -2024-10-30 05:52:26,065 - lightrag - INFO - _do_upsert:query: - MERGE (n:`BEGGARS`) - SET n += $properties - RETURN n - :result:{'entity_type': '"PERSON"', 'description': '"Beggars are individuals who implore Scrooge for charity, symbolizing the lack of compassion and generosity in his character."', 'source_id': 'chunk-74e2466de2f67fd710ef2f20c0a8d9e0'} -2024-10-30 05:52:26,193 - lightrag - INFO - get_node:query:MATCH (n:`CHILDREN`) RETURN n:result:"Children represent innocence and joy, often seen as seeking affection and connection with adults like Scrooge.""The Children represent innocence and purity, highlighted as victims of societal neglect and calling for compassion from Scrooge.""The Children represent the joyful, carefree aspects of Scrooge\'s past, embodying happiness and the innocence of youth that he has long forgotten.""The Children represent innocence and the impact of societal neglect, embodied by Ignorance and Want as personified by the Spirit.""The Children represent innocence and the impact of societal neglect, embodied by Ignorance and Want as personified by the Spirit."', 'source_id': 'chunk-74e2466de2f67fd710ef2f20c0a8d9e0chunk-bb21d58d36c6306fd8810ddd51c4a971chunk-e7637ff18c5ded77a68cce0a87883fad'}> -2024-10-30 05:52:26,330 - lightrag - INFO - _do_upsert:query: - MERGE (n:`CHILDREN`) - SET n += $properties - RETURN n - :result:{'entity_type': '"PERSON"', 'description': '"Children represent innocence and joy, often seen as seeking affection and connection with adults like Scrooge.""Children represent innocence and joy, often seen as seeking affection and connection with adults like Scrooge.""Children represent innocence and joy, often seen as seeking affection and connection with adults like Scrooge.""The Children represent innocence and purity, highlighted as victims of societal neglect and calling for compassion from Scrooge.""The Children represent the joyful, carefree aspects of Scrooge\'s past, embodying happiness and the innocence of youth that he has long forgotten.""The Children represent innocence and the impact of societal neglect, embodied by Ignorance and Want as personified by the Spirit.""The Children represent innocence and the impact of societal neglect, embodied by Ignorance and Want as personified by the Spirit.""The Children represent innocence and the impact of societal neglect, embodied by Ignorance and Want as personified by the Spirit."', 'source_id': 'chunk-bb21d58d36c6306fd8810ddd51c4a971chunk-e7637ff18c5ded77a68cce0a87883fadchunk-74e2466de2f67fd710ef2f20c0a8d9e0'} -2024-10-30 05:52:26,460 - lightrag - INFO - get_node:query:MATCH (n:`COLD WEATHER`) RETURN n:result:"Cold Weather sets the bleak and unforgiving atmosphere, reflecting Scrooge’s own personality and state of mind.""Cold Weather sets the bleak and unforgiving atmosphere, reflecting Scrooge’s own personality and state of mind."', 'source_id': 'chunk-74e2466de2f67fd710ef2f20c0a8d9e0chunk-f1a4fbcf1ed86864b9bfd5e8dba4c683'}> -2024-10-30 05:52:26,594 - lightrag - INFO - _do_upsert:query: - MERGE (n:`COLD WEATHER`) - SET n += $properties - RETURN n - :result:{'entity_type': '"GEO"', 'description': '"Cold Weather is noted in the conversation between the businessmen, serving as a backdrop to their trivial interactions.""Cold Weather sets the bleak and unforgiving atmosphere, reflecting Scrooge’s own personality and state of mind.""Cold Weather sets the bleak and unforgiving atmosphere, reflecting Scrooge’s own personality and state of mind.""Cold Weather sets the bleak and unforgiving atmosphere, reflecting Scrooge’s own personality and state of mind."', 'source_id': 'chunk-f1a4fbcf1ed86864b9bfd5e8dba4c683chunk-74e2466de2f67fd710ef2f20c0a8d9e0'} -2024-10-30 05:52:26,723 - lightrag - INFO - get_node:query:MATCH (n:`FOG`) RETURN n:result:"Fog is a weather phenomenon that adds to the bleak atmosphere, reflecting the obscurity and confusion in Scrooge\'s life.""Fog represents the obscured visibility and confusion in Scrooge\'s surroundings, enhancing the atmosphere of uncertainty and apprehension.""Fog represents the obscurity and isolation in the environment, mirroring Scrooge’s emotional distance and isolation from society.""Fog represents the obscured visibility and confusion in Scrooge\'s surroundings, enhancing the atmosphere of uncertainty and apprehension.""Fog represents the obscurity and isolation in the environment, mirroring Scrooge’s emotional distance and isolation from society."', 'source_id': 'chunk-74e2466de2f67fd710ef2f20c0a8d9e0chunk-c7b10789a9cb0af6c553730b29bd9034chunk-d9aac3484185ac66045df92214d245d5'}> -2024-10-30 05:52:26,859 - lightrag - INFO - _do_upsert:query: - MERGE (n:`FOG`) - SET n += $properties - RETURN n - :result:{'entity_type': '"GEO"', 'description': '"Fog is a weather condition mentioned that enhances the dreary atmosphere surrounding Scrooge\'s home and workplace.""Fog is a weather phenomenon that adds to the bleak atmosphere, reflecting the obscurity and confusion in Scrooge\'s life.""Fog represents the obscured visibility and confusion in Scrooge\'s surroundings, enhancing the atmosphere of uncertainty and apprehension.""Fog represents the obscurity and isolation in the environment, mirroring Scrooge’s emotional distance and isolation from society.""Fog represents the obscured visibility and confusion in Scrooge\'s surroundings, enhancing the atmosphere of uncertainty and apprehension.""Fog represents the obscurity and isolation in the environment, mirroring Scrooge’s emotional distance and isolation from society.""Fog represents the obscured visibility and confusion in Scrooge\'s surroundings, enhancing the atmosphere of uncertainty and apprehension.""Fog represents the obscurity and isolation in the environment, mirroring Scrooge’s emotional distance and isolation from society."', 'source_id': 'chunk-d9aac3484185ac66045df92214d245d5chunk-c7b10789a9cb0af6c553730b29bd9034chunk-74e2466de2f67fd710ef2f20c0a8d9e0'} -2024-10-30 05:52:26,994 - lightrag - INFO - get_node:query:MATCH (n:`COURT`) RETURN n:result: -2024-10-30 05:52:27,128 - lightrag - INFO - _do_upsert:query: - MERGE (n:`COURT`) - SET n += $properties - RETURN n - :result:{'entity_type': '"GEO"', 'description': '"The Court is a location described as a space outside Scrooge\'s office where people pass by, emphasizing the contrast between Scrooge\'s inside world and the outside social interactions."', 'source_id': 'chunk-74e2466de2f67fd710ef2f20c0a8d9e0'} -2024-10-30 05:52:27,256 - lightrag - INFO - get_node:query:MATCH (n:`SCROOGE AND MARLEY'S`) RETURN n:result: -2024-10-30 05:52:27,391 - lightrag - INFO - _do_upsert:query: - MERGE (n:`SCROOGE AND MARLEY'S`) - SET n += $properties - RETURN n - :result:{'entity_type': '"ORGANIZATION"', 'description': '"Scrooge and Marley\'s is the name of the business run by Scrooge, signifying a partnership that existed before Marley’s death."', 'source_id': 'chunk-5dac41b3f9eeaf794f0147400b1718cd'} -2024-10-30 05:52:27,518 - lightrag - INFO - get_node:query:MATCH (n:`CLERK`) RETURN n:result:"The Clerk is a minor character who provides a contrast to Scrooge\'s character, expressing warmth and kindness during the holiday season.""The Clerk is an unnamed character who serves Scrooge, exhibiting a hopeful disposition despite Scrooge\'s ill-tempered management."', 'source_id': 'chunk-d9aac3484185ac66045df92214d245d5chunk-5dac41b3f9eeaf794f0147400b1718cd'}> -2024-10-30 05:52:27,647 - lightrag - INFO - _do_upsert:query: - MERGE (n:`CLERK`) - SET n += $properties - RETURN n - :result:{'entity_type': '"PERSON"', 'description': '"The Clerk is a minor character who provides a contrast to Scrooge\'s character, expressing warmth and kindness during the holiday season.""The Clerk is a minor character who provides a contrast to Scrooge\'s character, expressing warmth and kindness during the holiday season.""The Clerk is a minor character who provides a contrast to Scrooge\'s character, expressing warmth and kindness during the holiday season.""The Clerk is an unnamed character who serves Scrooge, exhibiting a hopeful disposition despite Scrooge\'s ill-tempered management."', 'source_id': 'chunk-d9aac3484185ac66045df92214d245d5chunk-5dac41b3f9eeaf794f0147400b1718cd'} -2024-10-30 05:52:27,772 - lightrag - INFO - get_node:query:MATCH (n:`THE GENTLEMEN`) RETURN n:result: -2024-10-30 05:52:27,903 - lightrag - INFO - _do_upsert:query: - MERGE (n:`THE GENTLEMEN`) - SET n += $properties - RETURN n - :result:{'entity_type': '"ORGANIZATION"', 'description': '"The Gentlemen are portrayed as representatives who arrive at Scrooge\'s office to collect donations for the poor during Christmas."', 'source_id': 'chunk-5dac41b3f9eeaf794f0147400b1718cd'} -2024-10-30 05:52:28,032 - lightrag - INFO - get_node:query:MATCH (n:`POOR AND DESTITUTE`) RETURN n:result: -2024-10-30 05:52:28,162 - lightrag - INFO - _do_upsert:query: - MERGE (n:`POOR AND DESTITUTE`) - SET n += $properties - RETURN n - :result:{'entity_type': '"CONCEPT"', 'description': '"The Poor and Destitute refer to those in need, highlighting the themes of charity and social responsibility that are emphasized during the Christmas season."', 'source_id': 'chunk-5dac41b3f9eeaf794f0147400b1718cd'} -2024-10-30 05:52:28,290 - lightrag - INFO - get_node:query:MATCH (n:`CHRISTMAS-TIME`) RETURN n:result:"Christmas-Time refers to the period surrounding Christmas, laden with connotations of joy, generosity, and family gatherings, which Scrooge vehemently criticizes.""Christmas-time is characterized as a period filled with festivities, joy, and community engagement, which Scrooge regards cynically.""Christmas-time represents the festive season, a recurring theme that evokes memories and emotions in Scrooge’s reflections.""Christmas-time serves as a backdrop for the narrative, emphasizing themes of reflection, mortality, and social interactions.""Christmas-time symbolizes a period of joy and reunion, characterized by scenes of celebration and warmth in the story.""Christmas-time symbolizes a period of joy and reunion, characterized by scenes of celebration and warmth in the story."', 'source_id': 'chunk-c6c248858d1b13ab7ee9ca13c1aeed6bchunk-f1a4fbcf1ed86864b9bfd5e8dba4c683chunk-5dac41b3f9eeaf794f0147400b1718cd'}> -2024-10-30 05:52:28,429 - lightrag - INFO - _do_upsert:query: - MERGE (n:`CHRISTMAS-TIME`) - SET n += $properties - RETURN n - :result:{'entity_type': '"EVENT"', 'description': '"Christmas-Time refers to the period surrounding Christmas, laden with connotations of joy, generosity, and family gatherings, which Scrooge vehemently criticizes.""Christmas-Time refers to the period surrounding Christmas, laden with connotations of joy, generosity, and family gatherings, which Scrooge vehemently criticizes.""Christmas-Time refers to the period surrounding Christmas, laden with connotations of joy, generosity, and family gatherings, which Scrooge vehemently criticizes.""Christmas-time is characterized as a period filled with festivities, joy, and community engagement, which Scrooge regards cynically.""Christmas-time represents the festive season, a recurring theme that evokes memories and emotions in Scrooge’s reflections.""Christmas-time serves as a backdrop for the narrative, emphasizing themes of reflection, mortality, and social interactions.""Christmas-time symbolizes a period of joy and reunion, characterized by scenes of celebration and warmth in the story.""Christmas-time symbolizes a period of joy and reunion, characterized by scenes of celebration and warmth in the story.""Christmas-time symbolizes a period of joy and reunion, characterized by scenes of celebration and warmth in the story."', 'source_id': 'chunk-f1a4fbcf1ed86864b9bfd5e8dba4c683chunk-c6c248858d1b13ab7ee9ca13c1aeed6bchunk-5dac41b3f9eeaf794f0147400b1718cd'} -2024-10-30 05:52:28,563 - lightrag - INFO - get_node:query:MATCH (n:`BEDLAM`) RETURN n:result:"Bedlam is referenced as a metaphorical expression of madness, illustrating Scrooge\'s disdain for cheerful attitudes he finds absurd.""Bedlam is referenced as a metaphorical place for madness, illustrating Scrooge\'s disdain for the cheerful nature of Christmas and his sense of isolation."', 'source_id': 'chunk-5dac41b3f9eeaf794f0147400b1718cd'}> -2024-10-30 05:52:28,699 - lightrag - INFO - _do_upsert:query: - MERGE (n:`BEDLAM`) - SET n += $properties - RETURN n - :result:{'entity_type': '"GEO"', 'description': '"Bedlam is referenced as a metaphorical expression of madness, illustrating Scrooge\'s disdain for cheerful attitudes he finds absurd.""Bedlam is referenced as a metaphorical expression of madness, illustrating Scrooge\'s disdain for cheerful attitudes he finds absurd.""Bedlam is referenced as a metaphorical expression of madness, illustrating Scrooge\'s disdain for cheerful attitudes he finds absurd.""Bedlam is referenced as a metaphorical place for madness, illustrating Scrooge\'s disdain for the cheerful nature of Christmas and his sense of isolation."', 'source_id': 'chunk-5dac41b3f9eeaf794f0147400b1718cd'} -2024-10-30 05:52:28,830 - lightrag - INFO - get_node:query:MATCH (n:`THE GENTLEMAN`) RETURN n:result:"The Gentleman is a character attempting to persuade Scrooge to contribute to charity for the poor during Christmas.""The Gentleman is a character who advocates for helping the poor and trying to raise a fund for those in need during Christmas."', 'source_id': 'chunk-90d5764e301321c087f5a8f78b73a145'}> -2024-10-30 05:52:28,961 - lightrag - INFO - _do_upsert:query: - MERGE (n:`THE GENTLEMAN`) - SET n += $properties - RETURN n - :result:{'entity_type': '"PERSON"', 'description': '"The Gentleman is a character attempting to persuade Scrooge to contribute to charity for the poor during Christmas.""The Gentleman is a character attempting to persuade Scrooge to contribute to charity for the poor during Christmas.""The Gentleman is a character attempting to persuade Scrooge to contribute to charity for the poor during Christmas.""The Gentleman is a character who advocates for helping the poor and trying to raise a fund for those in need during Christmas."', 'source_id': 'chunk-90d5764e301321c087f5a8f78b73a145'} -2024-10-30 05:52:29,089 - lightrag - INFO - get_node:query:MATCH (n:`THE POOR LAW`) RETURN n:result: -2024-10-30 05:52:29,225 - lightrag - INFO - _do_upsert:query: - MERGE (n:`THE POOR LAW`) - SET n += $properties - RETURN n - :result:{'entity_type': '"ORGANIZATION"', 'description': '"The Poor Law refers to a governmental system in place intended to support the impoverished, which Scrooge references to indicate his views on responsibility and charity."', 'source_id': 'chunk-90d5764e301321c087f5a8f78b73a145'} -2024-10-30 05:52:29,352 - lightrag - INFO - get_node:query:MATCH (n:`THE UNION WORKHOUSES`) RETURN n:result:"The Union Workhouses are facilities that provide aid to the poor, still operational as confirmed by the Gentleman during the discussion with Scrooge.""The Union Workhouses are institutions mentioned as a means of supporting the poor, still operational during Scrooge\'s time."', 'source_id': 'chunk-90d5764e301321c087f5a8f78b73a145'}> -2024-10-30 05:52:29,490 - lightrag - INFO - _do_upsert:query: - MERGE (n:`THE UNION WORKHOUSES`) - SET n += $properties - RETURN n - :result:{'entity_type': '"ORGANIZATION"', 'description': '"The Union Workhouses are facilities that provide aid to the poor, still operational as confirmed by the Gentleman during the discussion with Scrooge.""The Union Workhouses are facilities that provide aid to the poor, still operational as confirmed by the Gentleman during the discussion with Scrooge.""The Union Workhouses are facilities that provide aid to the poor, still operational as confirmed by the Gentleman during the discussion with Scrooge.""The Union Workhouses are institutions mentioned as a means of supporting the poor, still operational during Scrooge\'s time."', 'source_id': 'chunk-90d5764e301321c087f5a8f78b73a145'} -2024-10-30 05:52:29,623 - lightrag - INFO - get_node:query:MATCH (n:`THE MANSION HOUSE`) RETURN n:result:"The Mansion House is the official residence of the Lord Mayor, where festive preparations for Christmas are being made.""The Mansion House is the official residence of the Lord Mayor, where festive preparations for Christmas are being made."', 'source_id': 'chunk-90d5764e301321c087f5a8f78b73a145'}> -2024-10-30 05:52:29,754 - lightrag - INFO - _do_upsert:query: - MERGE (n:`THE MANSION HOUSE`) - SET n += $properties - RETURN n - :result:{'entity_type': '"LOCATION"', 'description': '"The Mansion House is identified as the residence of the Lord Mayor, a place associated with Christmas festivities and order.""The Mansion House is the official residence of the Lord Mayor, where festive preparations for Christmas are being made.""The Mansion House is the official residence of the Lord Mayor, where festive preparations for Christmas are being made.""The Mansion House is the official residence of the Lord Mayor, where festive preparations for Christmas are being made."', 'source_id': 'chunk-90d5764e301321c087f5a8f78b73a145'} -2024-10-30 05:52:29,885 - lightrag - INFO - get_node:query:MATCH (n:`THE POOR`) RETURN n:result:"The Poor refer to those individuals in society who face economic hardship and are in need of help, as indicated by their absence from the workhouses and their desperate circumstances during the festive season.""The Poor refers to the individuals in society who are destitute and in need of assistance, often highlighted in discussions about charity during Christmas."', 'source_id': 'chunk-90d5764e301321c087f5a8f78b73a145'}> -2024-10-30 05:52:30,021 - lightrag - INFO - _do_upsert:query: - MERGE (n:`THE POOR`) - SET n += $properties - RETURN n - :result:{'entity_type': '"PERSON"', 'description': '"The Poor refer to those individuals in society who face economic hardship and are in need of help, as indicated by their absence from the workhouses and their desperate circumstances during the festive season.""The Poor refer to those individuals in society who face economic hardship and are in need of help, as indicated by their absence from the workhouses and their desperate circumstances during the festive season.""The Poor refer to those individuals in society who face economic hardship and are in need of help, as indicated by their absence from the workhouses and their desperate circumstances during the festive season.""The Poor refers to the individuals in society who are destitute and in need of assistance, often highlighted in discussions about charity during Christmas."', 'source_id': 'chunk-90d5764e301321c087f5a8f78b73a145'} -2024-10-30 05:52:30,152 - lightrag - INFO - get_node:query:MATCH (n:`SCROOGE'S COUNTING-HOUSE`) RETURN n:result: -2024-10-30 05:52:30,284 - lightrag - INFO - _do_upsert:query: - MERGE (n:`SCROOGE'S COUNTING-HOUSE`) - SET n += $properties - RETURN n - :result:{'entity_type': '"LOCATION"', 'description': '"Scrooge\'s Counting-House is the workspace of Scrooge where he conducts his business, symbolizing his frugality and solitary nature."', 'source_id': 'chunk-90d5764e301321c087f5a8f78b73a145'} -2024-10-30 05:52:30,412 - lightrag - INFO - get_node:query:MATCH (n:`THE LORD MAYOR`) RETURN n:result:"The Lord Mayor oversees the festivities during Christmas at the Mansion House, representing authority and public celebration.""The Lord Mayor oversees the festivities during Christmas at the Mansion House, representing authority and public celebration."', 'source_id': 'chunk-90d5764e301321c087f5a8f78b73a145'}> -2024-10-30 05:52:30,547 - lightrag - INFO - _do_upsert:query: - MERGE (n:`THE LORD MAYOR`) - SET n += $properties - RETURN n - :result:{'entity_type': '"PERSON"', 'description': '"The Lord Mayor is a civic leader responsible for overseeing Christmas festivities and ensuring proper celebrations in the town.""The Lord Mayor oversees the festivities during Christmas at the Mansion House, representing authority and public celebration.""The Lord Mayor oversees the festivities during Christmas at the Mansion House, representing authority and public celebration.""The Lord Mayor oversees the festivities during Christmas at the Mansion House, representing authority and public celebration."', 'source_id': 'chunk-90d5764e301321c087f5a8f78b73a145'} -2024-10-30 05:52:30,673 - lightrag - INFO - get_node:query:MATCH (n:`CHRISTMAS PUDDING`) RETURN n:result:"Christmas Pudding is a dish being prepared for the festive celebration, embodying the spirit of Christmas and family gatherings.""The Christmas Pudding is a significant dish prepared by Mrs. Cratchit, symbolizing the family\'s festive celebration and unity."', 'source_id': 'chunk-503f0bfa5453467c7c61d160a3540ecachunk-90d5764e301321c087f5a8f78b73a145'}> -2024-10-30 05:52:30,802 - lightrag - INFO - _do_upsert:query: - MERGE (n:`CHRISTMAS PUDDING`) - SET n += $properties - RETURN n - :result:{'entity_type': '"EVENT"', 'description': '"Christmas Pudding is a dish being prepared for the festive celebration, embodying the spirit of Christmas and family gatherings.""Christmas Pudding is a dish being prepared for the festive celebration, embodying the spirit of Christmas and family gatherings.""Christmas Pudding is a dish being prepared for the festive celebration, embodying the spirit of Christmas and family gatherings.""The Christmas Pudding is a significant dish prepared by Mrs. Cratchit, symbolizing the family\'s festive celebration and unity."', 'source_id': 'chunk-503f0bfa5453467c7c61d160a3540ecachunk-90d5764e301321c087f5a8f78b73a145'} -2024-10-30 05:52:30,932 - lightrag - INFO - get_node:query:MATCH (n:`THE GAS-PIPES`) RETURN n:result:"The Gas-Pipes represent the infrastructure of the city, which signifies the industrial and economic activity during the cold winter season.""The Gas-pipes are mentioned as undergoing repairs in The Main Street, indicating the infrastructure\'s role in the community during winter."', 'source_id': 'chunk-90d5764e301321c087f5a8f78b73a145'}> -2024-10-30 05:52:31,064 - lightrag - INFO - _do_upsert:query: - MERGE (n:`THE GAS-PIPES`) - SET n += $properties - RETURN n - :result:{'entity_type': '"ORGANIZATION"', 'description': '"The Gas-Pipes represent the infrastructure of the city, which signifies the industrial and economic activity during the cold winter season.""The Gas-Pipes represent the infrastructure of the city, which signifies the industrial and economic activity during the cold winter season.""The Gas-Pipes represent the infrastructure of the city, which signifies the industrial and economic activity during the cold winter season.""The Gas-pipes are mentioned as undergoing repairs in The Main Street, indicating the infrastructure\'s role in the community during winter."', 'source_id': 'chunk-90d5764e301321c087f5a8f78b73a145'} -2024-10-30 05:52:31,192 - lightrag - INFO - get_node:query:MATCH (n:`THE CHURCH`) RETURN n:result:"The Church is a location from where the clock chimes are heard, marking the passage of time and contributing to the atmosphere of the scene.""The Church is a place Scrooge visits, indicating his desire to engage in the Christmas spirit and community.""The Church is a place referenced in the context of the community\'s sentiments toward Christmas and social welfare.""The Church is a place referenced in the context of the community\'s sentiments toward Christmas and social welfare."', 'source_id': 'chunk-8f738cb25d60a7dab782162d9d0a25edchunk-cb661c37436355ccec2769b1d0350c5fchunk-90d5764e301321c087f5a8f78b73a145'}> -2024-10-30 05:52:31,327 - lightrag - INFO - _do_upsert:query: - MERGE (n:`THE CHURCH`) - SET n += $properties - RETURN n - :result:{'entity_type': '"ORGANIZATION"', 'description': '"The Church is a location from where the clock chimes are heard, marking the passage of time and contributing to the atmosphere of the scene.""The Church is a location from where the clock chimes are heard, marking the passage of time and contributing to the atmosphere of the scene.""The Church is a location from where the clock chimes are heard, marking the passage of time and contributing to the atmosphere of the scene.""The Church is a place Scrooge visits, indicating his desire to engage in the Christmas spirit and community.""The Church is a place referenced in the context of the community\'s sentiments toward Christmas and social welfare.""The Church is a place referenced in the context of the community\'s sentiments toward Christmas and social welfare.""The Church is a place referenced in the context of the community\'s sentiments toward Christmas and social welfare."', 'source_id': 'chunk-8f738cb25d60a7dab782162d9d0a25edchunk-cb661c37436355ccec2769b1d0350c5fchunk-90d5764e301321c087f5a8f78b73a145'} -2024-10-30 05:52:31,456 - lightrag - INFO - get_node:query:MATCH (n:`THE CRATCHIT FAMILY`) RETURN n:result:"The Cratchit Family consists of Bob, Mrs. Cratchit, Tiny Tim, and their children, characterized by their strong familial bonds and love for one another despite financial struggles.""The Cratchit Family consists of Bob, Mrs. Cratchit, and their children, highlighting themes of familial love and support amidst hardship.""The Cratchit Family is a close-knit family depicted in the text, characterized by love and warmth, celebrating Christmas together despite their difficulties.""The Cratchit Family represents a typical struggling family in the text, highlighting the theme of social disparity during Christmas.""The Cratchit Family is a close-knit family depicted in the text, characterized by love and warmth, celebrating Christmas together despite their difficulties.""The Cratchit Family represents a typical struggling family in the text, highlighting the theme of social disparity during Christmas."', 'source_id': 'chunk-503f0bfa5453467c7c61d160a3540ecachunk-1d4b58de5429cd1261370c231c8673e8chunk-90d5764e301321c087f5a8f78b73a145'}> -2024-10-30 05:52:31,590 - lightrag - INFO - _do_upsert:query: - MERGE (n:`THE CRATCHIT FAMILY`) - SET n += $properties - RETURN n - :result:{'entity_type': '"ORGANIZATION"', 'description': '"The Cratchit Family consists of Bob, Mrs. Cratchit, Tiny Tim, and their children, characterized by their strong familial bonds and love for one another despite financial struggles.""The Cratchit Family consists of Bob, Mrs. Cratchit, Tiny Tim, and their children, characterized by their strong familial bonds and love for one another despite financial struggles.""The Cratchit Family consists of Bob, Mrs. Cratchit, Tiny Tim, and their children, characterized by their strong familial bonds and love for one another despite financial struggles.""The Cratchit Family consists of Bob, Mrs. Cratchit, and their children, highlighting themes of familial love and support amidst hardship.""The Cratchit Family is a close-knit family depicted in the text, characterized by love and warmth, celebrating Christmas together despite their difficulties.""The Cratchit Family represents a typical struggling family in the text, highlighting the theme of social disparity during Christmas.""The Cratchit Family is a close-knit family depicted in the text, characterized by love and warmth, celebrating Christmas together despite their difficulties.""The Cratchit Family represents a typical struggling family in the text, highlighting the theme of social disparity during Christmas.""The Cratchit Family is a close-knit family depicted in the text, characterized by love and warmth, celebrating Christmas together despite their difficulties.""The Cratchit Family represents a typical struggling family in the text, highlighting the theme of social disparity during Christmas."', 'source_id': 'chunk-503f0bfa5453467c7c61d160a3540ecachunk-1d4b58de5429cd1261370c231c8673e8chunk-90d5764e301321c087f5a8f78b73a145'} -2024-10-30 05:52:31,717 - lightrag - INFO - get_node:query:MATCH (n:`CHRISTMAS EVE`) RETURN n:result:"Christmas Eve is a significant time in the story, marked by celebrations and gatherings led by Fezziwig.""Christmas Eve is depicted as a significant time, bringing about joyful activities like sliding down snow hills, contrasting with Scrooge\'s dour demeanor.""Christmas Eve is the night before Christmas, serving as the backdrop for the lively celebrations and dances hosted by Fezziwig.""Christmas Eve is the specific time setting in the story, highlighting the contrast between the joy of the holiday and Scrooge\'s negativity.""Christmas Eve is the day prior to Christmas, a time that carries festive significance and anticipation in the narrative.""Christmas Eve is the day prior to Christmas, a time that carries festive significance and anticipation in the narrative."', 'source_id': 'chunk-74e2466de2f67fd710ef2f20c0a8d9e0chunk-8bc1edd983869352d14cf0886a9175a7chunk-d9aac3484185ac66045df92214d245d5'}> -2024-10-30 05:52:31,865 - lightrag - INFO - _do_upsert:query: - MERGE (n:`CHRISTMAS EVE`) - SET n += $properties - RETURN n - :result:{'entity_type': '"EVENT"', 'description': '"Christmas Eve is a significant time in the story, marked by celebrations and gatherings led by Fezziwig.""Christmas Eve is a significant time in the story, marked by celebrations and gatherings led by Fezziwig.""Christmas Eve is a significant time in the story, marked by celebrations and gatherings led by Fezziwig.""Christmas Eve is depicted as a significant time, bringing about joyful activities like sliding down snow hills, contrasting with Scrooge\'s dour demeanor.""Christmas Eve is the night before Christmas, serving as the backdrop for the lively celebrations and dances hosted by Fezziwig.""Christmas Eve is the specific time setting in the story, highlighting the contrast between the joy of the holiday and Scrooge\'s negativity.""Christmas Eve is the day prior to Christmas, a time that carries festive significance and anticipation in the narrative.""Christmas Eve is the day prior to Christmas, a time that carries festive significance and anticipation in the narrative.""Christmas Eve is the day prior to Christmas, a time that carries festive significance and anticipation in the narrative."', 'source_id': 'chunk-74e2466de2f67fd710ef2f20c0a8d9e0chunk-d9aac3484185ac66045df92214d245d5chunk-8bc1edd983869352d14cf0886a9175a7'} -2024-10-30 05:52:32,004 - lightrag - INFO - get_node:query:MATCH (n:`CAMDEN TOWN`) RETURN n:result:"Camden Town is a location mentioned as Bob Cratchit\'s home, highlighting the setting of his personal life.""Camden Town is a location mentioned in relation to the logistics of transporting a large turkey.""Camden Town is a location where Bob Cratchit runs home to celebrate Christmas Eve, representing a more joyful and lively setting.""Camden Town is mentioned as a location related to the transportation of a turkey in a humorous context during the holiday season.""Camden Town is mentioned as a location related to the transportation of a turkey in a humorous context during the holiday season."', 'source_id': 'chunk-8f738cb25d60a7dab782162d9d0a25edchunk-d9aac3484185ac66045df92214d245d5'}> -2024-10-30 05:52:32,140 - lightrag - INFO - _do_upsert:query: - MERGE (n:`CAMDEN TOWN`) - SET n += $properties - RETURN n - :result:{'entity_type': '"GEO"', 'description': '"Camden Town is a location mentioned as Bob Cratchit\'s home, highlighting the setting of his personal life.""Camden Town is a location mentioned as Bob Cratchit\'s home, highlighting the setting of his personal life.""Camden Town is a location mentioned as Bob Cratchit\'s home, highlighting the setting of his personal life.""Camden Town is a location mentioned in relation to the logistics of transporting a large turkey.""Camden Town is a location where Bob Cratchit runs home to celebrate Christmas Eve, representing a more joyful and lively setting.""Camden Town is mentioned as a location related to the transportation of a turkey in a humorous context during the holiday season.""Camden Town is mentioned as a location related to the transportation of a turkey in a humorous context during the holiday season.""Camden Town is mentioned as a location related to the transportation of a turkey in a humorous context during the holiday season."', 'source_id': 'chunk-d9aac3484185ac66045df92214d245d5chunk-8f738cb25d60a7dab782162d9d0a25ed'} -2024-10-30 05:52:32,268 - lightrag - INFO - get_node:query:MATCH (n:`THE COUNTING-HOUSE`) RETURN n:result:"The Counting-House is where Scrooge works and is characterized by its cold and unwelcoming environment.""The Counting-House is the place where Scrooge works, reflecting a business environment lacking warmth or joy.""The Counting-House is the place where Scrooge works, reflecting a business environment lacking warmth or joy."', 'source_id': 'chunk-74e2466de2f67fd710ef2f20c0a8d9e0chunk-d9aac3484185ac66045df92214d245d5'}> -2024-10-30 05:52:32,402 - lightrag - INFO - _do_upsert:query: - MERGE (n:`THE COUNTING-HOUSE`) - SET n += $properties - RETURN n - :result:{'entity_type': '"ORGANIZATION"', 'description': '"The Counting-House is Scrooge\'s place of work, characterized by a gloomy demeanor and an atmosphere that reflects Scrooge\'s character.""The Counting-House is where Scrooge works and is characterized by its cold and unwelcoming environment.""The Counting-House is the place where Scrooge works, reflecting a business environment lacking warmth or joy.""The Counting-House is the place where Scrooge works, reflecting a business environment lacking warmth or joy.""The Counting-House is the place where Scrooge works, reflecting a business environment lacking warmth or joy."', 'source_id': 'chunk-d9aac3484185ac66045df92214d245d5chunk-74e2466de2f67fd710ef2f20c0a8d9e0'} -2024-10-30 05:52:32,531 - lightrag - INFO - get_node:query:MATCH (n:`THE KNOCKER`) RETURN n:result:"The Knocker is a feature on Scrooge\'s door, which takes on a mystical quality when Scrooge perceives Marley\'s face in it.""The Knocker is a physical object that becomes a symbol of Scrooge\'s psyche, transforming into Marley\'s face, representing his guilt and past.""The Knocker is an ornate door knocker that Scrooge admires, reflecting his newfound appreciation for simple joys.""The Knocker on the door serves as a symbolic gateway to the supernatural events, being the first point of eerie interaction for Scrooge.""The Knocker is a physical object that symbolizes Scrooge\'s newfound appreciation for the simple, honest joys of life during Christmas.""The Knocker is a physical object that symbolizes Scrooge\'s newfound appreciation for the simple, honest joys of life during Christmas."', 'source_id': 'chunk-8f738cb25d60a7dab782162d9d0a25edchunk-d9aac3484185ac66045df92214d245d5chunk-9c43dac2fcd5b578242d907ea6f8fc7b'}> -2024-10-30 05:52:32,661 - lightrag - INFO - _do_upsert:query: - MERGE (n:`THE KNOCKER`) - SET n += $properties - RETURN n - :result:{'entity_type': '"ORGANIZATION"', 'description': '"The Knocker is a feature on Scrooge\'s door, which takes on a mystical quality when Scrooge perceives Marley\'s face in it.""The Knocker is a feature on Scrooge\'s door, which takes on a mystical quality when Scrooge perceives Marley\'s face in it.""The Knocker is a feature on Scrooge\'s door, which takes on a mystical quality when Scrooge perceives Marley\'s face in it.""The Knocker is a physical object that becomes a symbol of Scrooge\'s psyche, transforming into Marley\'s face, representing his guilt and past.""The Knocker is an ornate door knocker that Scrooge admires, reflecting his newfound appreciation for simple joys.""The Knocker on the door serves as a symbolic gateway to the supernatural events, being the first point of eerie interaction for Scrooge.""The Knocker is a physical object that symbolizes Scrooge\'s newfound appreciation for the simple, honest joys of life during Christmas.""The Knocker is a physical object that symbolizes Scrooge\'s newfound appreciation for the simple, honest joys of life during Christmas.""The Knocker is a physical object that symbolizes Scrooge\'s newfound appreciation for the simple, honest joys of life during Christmas."', 'source_id': 'chunk-9c43dac2fcd5b578242d907ea6f8fc7bchunk-d9aac3484185ac66045df92214d245d5chunk-8f738cb25d60a7dab782162d9d0a25ed'} -2024-10-30 05:52:32,790 - lightrag - INFO - get_node:query:MATCH (n:`THE COUNTING-HOUSE CLERK`) RETURN n:result: -2024-10-30 05:52:32,923 - lightrag - INFO - _do_upsert:query: - MERGE (n:`THE COUNTING-HOUSE CLERK`) - SET n += $properties - RETURN n - :result:{'entity_type': '"PERSON"', 'description': '"The Counting-House Clerk is an unnamed character who interacts with Scrooge, representing the workforce under Scrooge\'s employment."', 'source_id': 'chunk-d9aac3484185ac66045df92214d245d5'} -2024-10-30 05:52:33,056 - lightrag - INFO - get_node:query:MATCH (n:`THE CANDLE`) RETURN n:result:"The Candle is a source of light that Scrooge lights as he enters his home, symbolizing the struggle against darkness and isolation.""The Candle represents a source of light in Scrooge\'s dark life, emphasizing the contrast between warmth and isolation."', 'source_id': 'chunk-d9aac3484185ac66045df92214d245d5chunk-9c43dac2fcd5b578242d907ea6f8fc7b'}> -2024-10-30 05:52:33,190 - lightrag - INFO - _do_upsert:query: - MERGE (n:`THE CANDLE`) - SET n += $properties - RETURN n - :result:{'entity_type': '"TECHNOLOGY"', 'description': '"The Candle is a source of light that Scrooge lights as he enters his home, symbolizing the struggle against darkness and isolation.""The Candle is a source of light that Scrooge lights as he enters his home, symbolizing the struggle against darkness and isolation.""The Candle is a source of light that Scrooge lights as he enters his home, symbolizing the struggle against darkness and isolation.""The Candle represents a source of light in Scrooge\'s dark life, emphasizing the contrast between warmth and isolation."', 'source_id': 'chunk-d9aac3484185ac66045df92214d245d5chunk-9c43dac2fcd5b578242d907ea6f8fc7b'} -2024-10-30 05:52:33,319 - lightrag - INFO - get_node:query:MATCH (n:`THE YARD`) RETURN n:result: -2024-10-30 05:52:33,454 - lightrag - INFO - _do_upsert:query: - MERGE (n:`THE YARD`) - SET n += $properties - RETURN n - :result:{'entity_type': '"GEO"', 'description': '"The Yard refers to the dark and gloomy space behind Scrooge\'s residence, creating an atmosphere of loneliness and despair."', 'source_id': 'chunk-d9aac3484185ac66045df92214d245d5'} -2024-10-30 05:52:33,581 - lightrag - INFO - get_node:query:MATCH (n:`THE FOG AND FROST`) RETURN n:result: -2024-10-30 05:52:33,714 - lightrag - INFO - _do_upsert:query: - MERGE (n:`THE FOG AND FROST`) - SET n += $properties - RETURN n - :result:{'entity_type': '"CONCEPT"', 'description': '"The Fog and Frost symbolize the coldness and obscurity surrounding Scrooge\'s life and mindset, enhancing the gloomy atmosphere."', 'source_id': 'chunk-d9aac3484185ac66045df92214d245d5'} -2024-10-30 05:52:33,841 - lightrag - INFO - get_node:query:MATCH (n:`THE GHOST OF MARLEY`) RETURN n:result:"The Ghost of Marley refers to the apparition that appears to Scrooge, serving as a catalyst for his transformation and moral reckoning.""The Ghost of Marley refers to the apparition that appears to Scrooge, serving as a catalyst for his transformation and moral reckoning."', 'source_id': 'chunk-d9aac3484185ac66045df92214d245d5'}> -2024-10-30 05:52:33,974 - lightrag - INFO - _do_upsert:query: - MERGE (n:`THE GHOST OF MARLEY`) - SET n += $properties - RETURN n - :result:{'entity_type': '"EVENT"', 'description': '"The Ghost of Marley is an event that is anticipated in the narrative, representing Scrooge\'s confrontation with his past and the supernatural.""The Ghost of Marley refers to the apparition that appears to Scrooge, serving as a catalyst for his transformation and moral reckoning.""The Ghost of Marley refers to the apparition that appears to Scrooge, serving as a catalyst for his transformation and moral reckoning.""The Ghost of Marley refers to the apparition that appears to Scrooge, serving as a catalyst for his transformation and moral reckoning."', 'source_id': 'chunk-d9aac3484185ac66045df92214d245d5'} -2024-10-30 05:52:34,104 - lightrag - INFO - get_node:query:MATCH (n:`LONDON`) RETURN n:result:"London is the city where the narrative takes place, representing a central location in the story.""London serves as the general setting for the story, although its specific mention relates to an animal in the context of a game.""London serves as the geographical setting for the story, encapsulating the harsh winter atmosphere and the life of its inhabitants during the festive season.""London serves as the setting where the events take place, adding a cultural backdrop to the Christmas gathering.""London serves as the setting for the story, highlighting the bustling yet isolating environment in which Scrooge lives.""London serves as the general setting for the story, although its specific mention relates to an animal in the context of a game.""London serves as the setting for the story, highlighting the bustling yet isolating environment in which Scrooge lives."', 'source_id': 'chunk-43c9bee23adfa77aa9dedd22401bba7dchunk-d9aac3484185ac66045df92214d245d5chunk-e7637ff18c5ded77a68cce0a87883fad'}> -2024-10-30 05:52:34,236 - lightrag - INFO - _do_upsert:query: - MERGE (n:`LONDON`) - SET n += $properties - RETURN n - :result:{'entity_type': '"GEO"', 'description': '"London is the city where the narrative takes place, representing a central location in the story.""London is the city where the narrative takes place, representing a central location in the story.""London is the city where the narrative takes place, representing a central location in the story.""London serves as the general setting for the story, although its specific mention relates to an animal in the context of a game.""London serves as the geographical setting for the story, encapsulating the harsh winter atmosphere and the life of its inhabitants during the festive season.""London serves as the setting where the events take place, adding a cultural backdrop to the Christmas gathering.""London serves as the setting for the story, highlighting the bustling yet isolating environment in which Scrooge lives.""London serves as the general setting for the story, although its specific mention relates to an animal in the context of a game.""London serves as the setting for the story, highlighting the bustling yet isolating environment in which Scrooge lives.""London serves as the general setting for the story, although its specific mention relates to an animal in the context of a game.""London serves as the setting for the story, highlighting the bustling yet isolating environment in which Scrooge lives."', 'source_id': 'chunk-d9aac3484185ac66045df92214d245d5chunk-e7637ff18c5ded77a68cce0a87883fadchunk-43c9bee23adfa77aa9dedd22401bba7d'} -2024-10-30 05:52:34,367 - lightrag - INFO - get_node:query:MATCH (n:`THE HOUSE`) RETURN n:result:"The House is the setting for Scrooge\'s encounters, characterized by its darkness, the creaking sounds, and the presence of the ghost.""The House is the setting for the Christmas celebration and interactions among the characters, embodying warmth and family togetherness.""The House is the setting where Scrooge experiences the haunting, with a description of its features contributing to the eerie atmosphere."', 'source_id': 'chunk-da2472b4ef2a535b62908f14d0fb0ca9chunk-9c43dac2fcd5b578242d907ea6f8fc7b'}> -2024-10-30 05:52:34,506 - lightrag - INFO - _do_upsert:query: - MERGE (n:`THE HOUSE`) - SET n += $properties - RETURN n - :result:{'entity_type': '"GEO"', 'description': '"The House is the setting for Scrooge\'s encounters, characterized by its darkness, the creaking sounds, and the presence of the ghost.""The House is the setting for Scrooge\'s encounters, characterized by its darkness, the creaking sounds, and the presence of the ghost.""The House is the setting for Scrooge\'s encounters, characterized by its darkness, the creaking sounds, and the presence of the ghost.""The House is the setting for the Christmas celebration and interactions among the characters, embodying warmth and family togetherness.""The House is the setting where Scrooge experiences the haunting, with a description of its features contributing to the eerie atmosphere."', 'source_id': 'chunk-9c43dac2fcd5b578242d907ea6f8fc7bchunk-da2472b4ef2a535b62908f14d0fb0ca9'} -2024-10-30 05:52:34,635 - lightrag - INFO - get_node:query:MATCH (n:`THE GHOST`) RETURN n:result:chunk-83ac129dc9b56f84c46760d153d68e93chunk-cb661c37436355ccec2769b1d0350c5fchunk-9c43dac2fcd5b578242d907ea6f8fc7bchunk-c6c248858d1b13ab7ee9ca13c1aeed6bchunk-02baee20cc9463dbe08170a8e1043e32chunk-da2472b4ef2a535b62908f14d0fb0ca9chunk-54bdd22db1f84a965b5f4c06c9216d8dchunk-c7b10789a9cb0af6c553730b29bd9034chunk-359187e7571bda4b0b08b2e0b6581e52chunk-43c9bee23adfa77aa9dedd22401bba7dchunk-8590d9263cd2cd4fa583c432fc54e6c3chunk-e7637ff18c5ded77a68cce0a87883fad'}> -2024-10-30 05:52:34,637 - lightrag - DEBUG - Trigger summary: "THE GHOST" -2024-10-30 05:52:34,738 - lightrag - INFO - get_node:query:MATCH (n:`THE BELL`) RETURN n:result:"The Bell is described as a disused bell that starts to swing and ring during the haunting, signifying the onset of supernatural occurrences.""The Bell is a disused bell in Scrooge\'s room, which begins to swing and rings out loudly, heralding the appearance of Marley\'s Ghost.""The Bell is a disused bell in Scrooge\'s room, which begins to swing and rings out loudly, heralding the appearance of Marley\'s Ghost."', 'source_id': 'chunk-cb661c37436355ccec2769b1d0350c5fchunk-9c43dac2fcd5b578242d907ea6f8fc7b'}> -2024-10-30 05:52:34,868 - lightrag - INFO - _do_upsert:query: - MERGE (n:`THE BELL`) - SET n += $properties - RETURN n - :result:{'entity_type': '"GEO"', 'description': '"The Bell is a church bell that signifies the time passing and marks the moments of Scrooge\'s encounters with the ghosts.""The Bell is described as a disused bell that starts to swing and ring during the haunting, signifying the onset of supernatural occurrences.""The Bell is a disused bell in Scrooge\'s room, which begins to swing and rings out loudly, heralding the appearance of Marley\'s Ghost.""The Bell is a disused bell in Scrooge\'s room, which begins to swing and rings out loudly, heralding the appearance of Marley\'s Ghost.""The Bell is a disused bell in Scrooge\'s room, which begins to swing and rings out loudly, heralding the appearance of Marley\'s Ghost."', 'source_id': 'chunk-cb661c37436355ccec2769b1d0350c5fchunk-9c43dac2fcd5b578242d907ea6f8fc7b'} -2024-10-30 05:52:34,998 - lightrag - INFO - get_node:query:MATCH (n:`THE WINE-MERCHANT'S CELLAR`) RETURN n:result:"The Wine-Merchant\'s Cellar is a location within The House where sounds of dragging chains are heard, signifying a haunted presence.""The Wine-Merchant\'s Cellar is a location within The House where sounds of dragging chains are heard, signifying a haunted presence."', 'source_id': 'chunk-9c43dac2fcd5b578242d907ea6f8fc7b'}> -2024-10-30 05:52:35,132 - lightrag - INFO - _do_upsert:query: - MERGE (n:`THE WINE-MERCHANT'S CELLAR`) - SET n += $properties - RETURN n - :result:{'entity_type': '"GEO"', 'description': '"The Wine-Merchant\'s Cellar is a location that holds significance in the story, where sounds of dragging chains are heard, adding to the ghostly ambiance.""The Wine-Merchant\'s Cellar is a location within The House where sounds of dragging chains are heard, signifying a haunted presence.""The Wine-Merchant\'s Cellar is a location within The House where sounds of dragging chains are heard, signifying a haunted presence.""The Wine-Merchant\'s Cellar is a location within The House where sounds of dragging chains are heard, signifying a haunted presence."', 'source_id': 'chunk-9c43dac2fcd5b578242d907ea6f8fc7b'} -2024-10-30 05:52:35,263 - lightrag - INFO - get_node:query:MATCH (n:`THE DYING FLAME`) RETURN n:result:"The Dying Flame represents the fear and uncertainty in Scrooge as it reacts to the presence of Marley’s Ghost, adding to the eerie atmosphere.""The Dying Flame signifies the waning spirit of Scrooge, momentarily invigorated by the arrival of the ghost as a metaphor for his fading humanity.""The Dying Flame signifies the waning spirit of Scrooge, momentarily invigorated by the arrival of the ghost as a metaphor for his fading humanity."', 'source_id': 'chunk-1aa50206d02ed89418f65f97c6441d1cchunk-9c43dac2fcd5b578242d907ea6f8fc7b'}> -2024-10-30 05:52:35,399 - lightrag - INFO - _do_upsert:query: - MERGE (n:`THE DYING FLAME`) - SET n += $properties - RETURN n - :result:{'entity_type': '"CONCEPT"', 'description': '"The Dying Flame represents the fear and uncertainty in Scrooge as it reacts to the presence of Marley’s Ghost, adding to the eerie atmosphere.""The Dying Flame represents the fear and uncertainty in Scrooge as it reacts to the presence of Marley’s Ghost, adding to the eerie atmosphere.""The Dying Flame represents the fear and uncertainty in Scrooge as it reacts to the presence of Marley’s Ghost, adding to the eerie atmosphere.""The Dying Flame signifies the waning spirit of Scrooge, momentarily invigorated by the arrival of the ghost as a metaphor for his fading humanity.""The Dying Flame signifies the waning spirit of Scrooge, momentarily invigorated by the arrival of the ghost as a metaphor for his fading humanity.""The Dying Flame signifies the waning spirit of Scrooge, momentarily invigorated by the arrival of the ghost as a metaphor for his fading humanity."', 'source_id': 'chunk-9c43dac2fcd5b578242d907ea6f8fc7bchunk-1aa50206d02ed89418f65f97c6441d1c'} -2024-10-30 05:52:35,533 - lightrag - INFO - get_node:query:MATCH (n:`THE GRATE`) RETURN n:result:"The Grate is a small fire in Scrooge\'s room that provides meager warmth, symbolizing Scrooge\'s cold disposition.""The Grate is part of Scrooge\'s room where a small fire burns, contributing to the bleak and cold atmosphere of his setting."', 'source_id': 'chunk-9c43dac2fcd5b578242d907ea6f8fc7b'}> -2024-10-30 05:52:35,666 - lightrag - INFO - _do_upsert:query: - MERGE (n:`THE GRATE`) - SET n += $properties - RETURN n - :result:{'entity_type': '"GEO"', 'description': '"The Grate is a small fire in Scrooge\'s room that provides meager warmth, symbolizing Scrooge\'s cold disposition.""The Grate is a small fire in Scrooge\'s room that provides meager warmth, symbolizing Scrooge\'s cold disposition.""The Grate is a small fire in Scrooge\'s room that provides meager warmth, symbolizing Scrooge\'s cold disposition.""The Grate is part of Scrooge\'s room where a small fire burns, contributing to the bleak and cold atmosphere of his setting."', 'source_id': 'chunk-9c43dac2fcd5b578242d907ea6f8fc7b'} -2024-10-30 05:52:35,792 - lightrag - INFO - get_node:query:MATCH (n:`SCROOGE'S DRESSING-GOWN`) RETURN n:result: -2024-10-30 05:52:35,924 - lightrag - INFO - _do_upsert:query: - MERGE (n:`SCROOGE'S DRESSING-GOWN`) - SET n += $properties - RETURN n - :result:{'entity_type': '"CONCEPT"', 'description': '"Scrooge\'s Dressing-Gown represents his reluctance to engage with the world outside, emphasizing his isolation and contentment with solitude."', 'source_id': 'chunk-9c43dac2fcd5b578242d907ea6f8fc7b'} -2024-10-30 05:52:36,052 - lightrag - INFO - get_node:query:MATCH (n:`GRUE`) RETURN n:result: -2024-10-30 05:52:36,186 - lightrag - INFO - _do_upsert:query: - MERGE (n:`GRUE`) - SET n += $properties - RETURN n - :result:{'entity_type': '"GEO"', 'description': '"Grue is the small saucepan of gruel prepared by Scrooge, indicating his minimalistic lifestyle and frugality."', 'source_id': 'chunk-9c43dac2fcd5b578242d907ea6f8fc7b'} -2024-10-30 05:52:36,318 - lightrag - INFO - get_node:query:MATCH (n:`THE HEAVY CHAIN`) RETURN n:result: -2024-10-30 05:52:36,455 - lightrag - INFO - _do_upsert:query: - MERGE (n:`THE HEAVY CHAIN`) - SET n += $properties - RETURN n - :result:{'entity_type': '"CONCEPT"', 'description': '"The Heavy Chain is associated with the dragging noise heard by Scrooge, symbolizing the burdens of his past actions."', 'source_id': 'chunk-9c43dac2fcd5b578242d907ea6f8fc7b'} -2024-10-30 05:52:36,585 - lightrag - INFO - get_node:query:MATCH (n:`THE CASK`) RETURN n:result:"The Cask is part of the sounds emerging from the cellar, contributing to the eerie atmosphere surrounding Marley’s Ghost.""The Cask is part of the sounds emerging from the cellar, contributing to the eerie atmosphere surrounding Marley’s Ghost."', 'source_id': 'chunk-9c43dac2fcd5b578242d907ea6f8fc7b'}> -2024-10-30 05:52:36,723 - lightrag - INFO - _do_upsert:query: - MERGE (n:`THE CASK`) - SET n += $properties - RETURN n - :result:{'entity_type': '"GEO"', 'description': '"The Cask is part of the cellar, contributing to the sounds associated with Marley\'s Ghost and aiding in creating a sense of dread.""The Cask is part of the sounds emerging from the cellar, contributing to the eerie atmosphere surrounding Marley’s Ghost.""The Cask is part of the sounds emerging from the cellar, contributing to the eerie atmosphere surrounding Marley’s Ghost.""The Cask is part of the sounds emerging from the cellar, contributing to the eerie atmosphere surrounding Marley’s Ghost."', 'source_id': 'chunk-9c43dac2fcd5b578242d907ea6f8fc7b'} -2024-10-30 05:52:36,855 - lightrag - INFO - get_node:query:MATCH (n:`MARLEY'S GHOST`) RETURN n:result:"Marley\'s Ghost is a spectral figure that represents Scrooge\'s past partner who has returned to convey a message, encapsulating themes of guilt and redemption.""Marley\'s Ghost is a spectral figure who appears to Scrooge to warn him of the impending visits from three spirits, representing remorse for his past deeds.""Marley\'s Ghost is a spectral visitation that deeply troubles Scrooge and causes him great perplexity, leading him to question the reality of his experiences.""Marley\'s Ghost represents the supernatural apparition of Marley, who has been dead for seven years and symbolizes regret and warning to Scrooge.""Marley\'s Ghost is an unearthly visitor that appears to Scrooge, causing him to question the nature of reality and dreams.""Marley\'s Ghost is the spectral figure of Jacob Marley, who appears to forewarn Scrooge about his fate and the necessity of change in his life.""Marley\'s Ghost is an unearthly visitor that appears to Scrooge, causing him to question the nature of reality and dreams.""Marley\'s Ghost is the spectral figure of Jacob Marley, who appears to forewarn Scrooge about his fate and the necessity of change in his life."', 'source_id': 'chunk-1aa50206d02ed89418f65f97c6441d1cchunk-c7b10789a9cb0af6c553730b29bd9034chunk-cb661c37436355ccec2769b1d0350c5fchunk-9c43dac2fcd5b578242d907ea6f8fc7b'}> -2024-10-30 05:52:36,988 - lightrag - INFO - _do_upsert:query: - MERGE (n:`MARLEY'S GHOST`) - SET n += $properties - RETURN n - :result:{'entity_type': '"EVENT"', 'description': '"Marley\'s Ghost is a spectral figure that represents Scrooge\'s past partner who has returned to convey a message, encapsulating themes of guilt and redemption.""Marley\'s Ghost is a spectral figure that represents Scrooge\'s past partner who has returned to convey a message, encapsulating themes of guilt and redemption.""Marley\'s Ghost is a spectral figure that represents Scrooge\'s past partner who has returned to convey a message, encapsulating themes of guilt and redemption.""Marley\'s Ghost is a spectral figure who appears to Scrooge to warn him of the impending visits from three spirits, representing remorse for his past deeds.""Marley\'s Ghost is a spectral visitation that deeply troubles Scrooge and causes him great perplexity, leading him to question the reality of his experiences.""Marley\'s Ghost represents the supernatural apparition of Marley, who has been dead for seven years and symbolizes regret and warning to Scrooge.""Marley\'s Ghost is an unearthly visitor that appears to Scrooge, causing him to question the nature of reality and dreams.""Marley\'s Ghost is the spectral figure of Jacob Marley, who appears to forewarn Scrooge about his fate and the necessity of change in his life.""Marley\'s Ghost is an unearthly visitor that appears to Scrooge, causing him to question the nature of reality and dreams.""Marley\'s Ghost is the spectral figure of Jacob Marley, who appears to forewarn Scrooge about his fate and the necessity of change in his life.""Marley\'s Ghost is an unearthly visitor that appears to Scrooge, causing him to question the nature of reality and dreams.""Marley\'s Ghost is the spectral figure of Jacob Marley, who appears to forewarn Scrooge about his fate and the necessity of change in his life."', 'source_id': 'chunk-c7b10789a9cb0af6c553730b29bd9034chunk-cb661c37436355ccec2769b1d0350c5fchunk-9c43dac2fcd5b578242d907ea6f8fc7bchunk-1aa50206d02ed89418f65f97c6441d1c'} -2024-10-30 05:52:37,119 - lightrag - INFO - get_node:query:MATCH (n:`JACOB MARLEY`) RETURN n:result:chunk-cb661c37436355ccec2769b1d0350c5fchunk-90b95db5c53e4364a6bee36b7aa4d70fchunk-da2472b4ef2a535b62908f14d0fb0ca9chunk-1aa50206d02ed89418f65f97c6441d1cchunk-359187e7571bda4b0b08b2e0b6581e52chunk-02baee20cc9463dbe08170a8e1043e32'}> -2024-10-30 05:52:37,254 - lightrag - INFO - _do_upsert:query: - MERGE (n:`JACOB MARLEY`) - SET n += $properties - RETURN n - :result:{'entity_type': '"PERSON"', 'description': '"Jacob Marley is Scrooge\'s deceased business partner who appears as a ghost, wearing chains that symbolize his past misdeeds and the burden of his regrets.""Jacob Marley is Scrooge\'s deceased partner, who appears in spirit to influence Scrooge\'s journey towards redemption.""Jacob Marley is a spirit who influences Scrooge\'s change of heart, representing a connection to Scrooge\'s past and the theme of redemption.""Jacob Marley is the deceased business partner of Scrooge, whose ghost visits him to convey a message about the importance of charity and kindness.""Jacob Marley is the deceased partner of Scrooge who shows concern for Scrooge\'s fate and the importance of change in his life.""Jacob Marley is the ghost of Scrooge\'s former business partner, who foretells the consequences of Scrooge\'s selfishness and warns him to change his ways.""Jacob Marley is the ghost of Scrooge\'s former partner, who appears to warn Scrooge about his fate and the need for change in his life."Jacob Marley is the deceased business partner of Ebenezer Scrooge, who appears as a ghost to convey significant messages about the consequences of a life lived without compassion. He is depicted as wearing chains, which symbolize the burden of his past misdeeds and the regrets that haunt him. Marley plays a crucial role in introducing the spirits that guide Scrooge on his journey toward redemption.\n\nAs a ghost, Jacob Marley warns Scrooge about his impending fate if he continues on his selfish path, highlighting the importance of charity, kindness, and connection to humanity. Through his visitation, Marley seeks to influence Scrooge\'s change of heart by representing both the weight of one\'s past actions and the potential for transformation. His presence serves as a catalyst for Scrooge’s eventual realization of the need for change, compelling him to reflect on his life choices and the impact they have on others.', 'source_id': 'chunk-02baee20cc9463dbe08170a8e1043e32chunk-cb661c37436355ccec2769b1d0350c5fchunk-1aa50206d02ed89418f65f97c6441d1cchunk-91572b3cd42786ba4cb2f180ca25cbf4chunk-da2472b4ef2a535b62908f14d0fb0ca9chunk-90b95db5c53e4364a6bee36b7aa4d70fchunk-359187e7571bda4b0b08b2e0b6581e52'} -2024-10-30 05:52:37,387 - lightrag - INFO - get_node:query:MATCH (n:`THE CHAIN`) RETURN n:result:"The Chain symbolizes the burdens of the past that haunt the spirits, showcasing the consequences of one\'s actions in life.""The Chain represents the burdens of greed and the consequences of one\'s actions, worn by Marley\'s Ghost as a physical manifestation of his regrets.""The Chain represents the burdens of regret and guilt that haunt Marley and serve as a warning to Scrooge about the consequences of a life poorly lived.""The Chain represents the burdens of greed and the consequences of one\'s actions, worn by Marley\'s Ghost as a physical manifestation of his regrets.""The Chain represents the burdens of regret and guilt that haunt Marley and serve as a warning to Scrooge about the consequences of a life poorly lived."', 'source_id': 'chunk-1aa50206d02ed89418f65f97c6441d1cchunk-359187e7571bda4b0b08b2e0b6581e52chunk-cb661c37436355ccec2769b1d0350c5f'}> -2024-10-30 05:52:37,533 - lightrag - INFO - _do_upsert:query: - MERGE (n:`THE CHAIN`) - SET n += $properties - RETURN n - :result:{'entity_type': '"CONCEPT"', 'description': '"The Chain refers to the symbolic burden that Marley carries, representing the consequences of his actions and the remorse that traps him in his spectral form.""The Chain symbolizes the burdens of the past that haunt the spirits, showcasing the consequences of one\'s actions in life.""The Chain represents the burdens of greed and the consequences of one\'s actions, worn by Marley\'s Ghost as a physical manifestation of his regrets.""The Chain represents the burdens of regret and guilt that haunt Marley and serve as a warning to Scrooge about the consequences of a life poorly lived.""The Chain represents the burdens of greed and the consequences of one\'s actions, worn by Marley\'s Ghost as a physical manifestation of his regrets.""The Chain represents the burdens of regret and guilt that haunt Marley and serve as a warning to Scrooge about the consequences of a life poorly lived.""The Chain represents the burdens of greed and the consequences of one\'s actions, worn by Marley\'s Ghost as a physical manifestation of his regrets.""The Chain represents the burdens of regret and guilt that haunt Marley and serve as a warning to Scrooge about the consequences of a life poorly lived."', 'source_id': 'chunk-359187e7571bda4b0b08b2e0b6581e52chunk-cb661c37436355ccec2769b1d0350c5fchunk-1aa50206d02ed89418f65f97c6441d1c'} -2024-10-30 05:52:37,666 - lightrag - INFO - get_node:query:MATCH (n:`THE HEAVY DOOR`) RETURN n:result:"The Heavy Door symbolizes the threshold between life and death, as well as the barriers between Scrooge and the supernatural world.""The heavy door is a physical boundary encountered by Scrooge, marking the transition between the ordinary world and the supernatural visitation."', 'source_id': 'chunk-1aa50206d02ed89418f65f97c6441d1c'}> -2024-10-30 05:52:37,800 - lightrag - INFO - _do_upsert:query: - MERGE (n:`THE HEAVY DOOR`) - SET n += $properties - RETURN n - :result:{'entity_type': '"CONCEPT"', 'description': '"The Heavy Door symbolizes the threshold between life and death, as well as the barriers between Scrooge and the supernatural world.""The Heavy Door symbolizes the threshold between life and death, as well as the barriers between Scrooge and the supernatural world.""The Heavy Door symbolizes the threshold between life and death, as well as the barriers between Scrooge and the supernatural world.""The heavy door is a physical boundary encountered by Scrooge, marking the transition between the ordinary world and the supernatural visitation."', 'source_id': 'chunk-1aa50206d02ed89418f65f97c6441d1c'} -2024-10-30 05:52:37,928 - lightrag - INFO - get_node:query:MATCH (n:`THE SPECTRE`) RETURN n:result: -2024-10-30 05:52:38,059 - lightrag - INFO - _do_upsert:query: - MERGE (n:`THE SPECTRE`) - SET n += $properties - RETURN n - :result:{'entity_type': '"CONCEPT"', 'description': '"The Spectre refers to the ghostly presence of Marley that embodies the themes of haunting and reflection on one\'s life choices."', 'source_id': 'chunk-1aa50206d02ed89418f65f97c6441d1c'} -2024-10-30 05:52:38,188 - lightrag - INFO - get_node:query:MATCH (n:`INFERNAL ATMOSPHERE`) RETURN n:result: -2024-10-30 05:52:38,319 - lightrag - INFO - _do_upsert:query: - MERGE (n:`INFERNAL ATMOSPHERE`) - SET n += $properties - RETURN n - :result:{'entity_type': '"CONCEPT"', 'description': '"The Infernal Atmosphere refers to the unsettling environment surrounding Marley\'s Ghost, indicating the discomfort and fear associated with his presence."', 'source_id': 'chunk-1aa50206d02ed89418f65f97c6441d1c'} -2024-10-30 05:52:38,448 - lightrag - INFO - get_node:query:MATCH (n:`THE CHAIR`) RETURN n:result: -2024-10-30 05:52:38,584 - lightrag - INFO - _do_upsert:query: - MERGE (n:`THE CHAIR`) - SET n += $properties - RETURN n - :result:{'entity_type': '"CONCEPT"', 'description': '"The Chair represents the symbol of comfort and safety that Scrooge clings to while facing the terrifying apparition."', 'source_id': 'chunk-1aa50206d02ed89418f65f97c6441d1c'} -2024-10-30 05:52:38,713 - lightrag - INFO - get_node:query:MATCH (n:`THE VISION`) RETURN n:result: -2024-10-30 05:52:38,845 - lightrag - INFO - _do_upsert:query: - MERGE (n:`THE VISION`) - SET n += $properties - RETURN n - :result:{'entity_type': '"CONCEPT"', 'description': '"The Vision refers to the haunting imagery that Scrooge perceives, reflecting his inner turmoil and conflict with reality."', 'source_id': 'chunk-1aa50206d02ed89418f65f97c6441d1c'} -2024-10-30 05:52:38,974 - lightrag - INFO - get_node:query:MATCH (n:`THE BANDAGE`) RETURN n:result:"The Bandage represents the ghost\'s attempt to maintain semblance in his appearance while revealing his true ghostly form.""The bandage is an item used by the ghost, symbolizing decay and the remnants of Marley’s struggle with his own existence post-death."', 'source_id': 'chunk-1aa50206d02ed89418f65f97c6441d1c'}> -2024-10-30 05:52:39,107 - lightrag - INFO - _do_upsert:query: - MERGE (n:`THE BANDAGE`) - SET n += $properties - RETURN n - :result:{'entity_type': '"CONCEPT"', 'description': '"The Bandage represents the ghost\'s attempt to maintain semblance in his appearance while revealing his true ghostly form.""The Bandage represents the ghost\'s attempt to maintain semblance in his appearance while revealing his true ghostly form.""The Bandage represents the ghost\'s attempt to maintain semblance in his appearance while revealing his true ghostly form.""The bandage is an item used by the ghost, symbolizing decay and the remnants of Marley’s struggle with his own existence post-death."', 'source_id': 'chunk-1aa50206d02ed89418f65f97c6441d1c'} -2024-10-30 05:52:39,236 - lightrag - INFO - get_node:query:MATCH (n:`GHOST`) RETURN n:result:"The Ghost refers to the spirit guiding Scrooge, embodying the themes of memory and reflection on the joys of Christmas.""The Ghost represents a spiritual guide that takes Scrooge on a journey to learn important lessons about compassion and humanity.""The Ghost serves as a supernatural guide for Scrooge, prompting him to reflect on his life and choices.""The Ghost is the spirit of Jacob Marley, who expresses remorse for his life and warns Scrooge about the consequences of ignoring his moral duties.""The Ghost is the spirit of Jacob Marley, who expresses remorse for his life and warns Scrooge about the consequences of ignoring his moral duties."', 'source_id': 'chunk-503f0bfa5453467c7c61d160a3540ecachunk-c6c248858d1b13ab7ee9ca13c1aeed6bchunk-359187e7571bda4b0b08b2e0b6581e52chunk-43c9bee23adfa77aa9dedd22401bba7dchunk-e7637ff18c5ded77a68cce0a87883fad'}> -2024-10-30 05:52:39,371 - lightrag - INFO - _do_upsert:query: - MERGE (n:`GHOST`) - SET n += $properties - RETURN n - :result:{'entity_type': '"PERSON"', 'description': '"The Ghost is a supernatural entity that provides guidance and reflection on Scrooge\'s past, representing moral and societal themes.""The Ghost refers to the spirit guiding Scrooge, embodying the themes of memory and reflection on the joys of Christmas.""The Ghost represents a spiritual guide that takes Scrooge on a journey to learn important lessons about compassion and humanity.""The Ghost serves as a supernatural guide for Scrooge, prompting him to reflect on his life and choices.""The Ghost is the spirit of Jacob Marley, who expresses remorse for his life and warns Scrooge about the consequences of ignoring his moral duties.""The Ghost is the spirit of Jacob Marley, who expresses remorse for his life and warns Scrooge about the consequences of ignoring his moral duties.""The Ghost is the spirit of Jacob Marley, who expresses remorse for his life and warns Scrooge about the consequences of ignoring his moral duties."', 'source_id': 'chunk-e7637ff18c5ded77a68cce0a87883fadchunk-c6c248858d1b13ab7ee9ca13c1aeed6bchunk-43c9bee23adfa77aa9dedd22401bba7dchunk-503f0bfa5453467c7c61d160a3540ecachunk-359187e7571bda4b0b08b2e0b6581e52'} -2024-10-30 05:52:39,506 - lightrag - INFO - get_node:query:MATCH (n:`CHRISTMAS EVES`) RETURN n:result:"Christmas Eves refer to the time periods associated with the spirits\' visits, specifically connecting to themes of reflection and redemption during the festive season.""Christmas Eves refers to the recurring time periods that Marley reflects upon, indicating the weight of his past decisions leading to regret."', 'source_id': 'chunk-359187e7571bda4b0b08b2e0b6581e52'}> -2024-10-30 05:52:39,641 - lightrag - INFO - _do_upsert:query: - MERGE (n:`CHRISTMAS EVES`) - SET n += $properties - RETURN n - :result:{'entity_type': '"EVENT"', 'description': '"Christmas Eves refer to the time periods associated with the spirits\' visits, specifically connecting to themes of reflection and redemption during the festive season.""Christmas Eves refer to the time periods associated with the spirits\' visits, specifically connecting to themes of reflection and redemption during the festive season.""Christmas Eves refer to the time periods associated with the spirits\' visits, specifically connecting to themes of reflection and redemption during the festive season.""Christmas Eves refers to the recurring time periods that Marley reflects upon, indicating the weight of his past decisions leading to regret."', 'source_id': 'chunk-359187e7571bda4b0b08b2e0b6581e52'} -2024-10-30 05:52:39,771 - lightrag - INFO - get_node:query:MATCH (n:`MANKIND`) RETURN n:result:"Mankind is referenced as a significant concern that should have been the focus of Scrooge\'s life, highlighting the importance of universal compassion and care.""Mankind signifies the broader human community, which Marley claims should be the focus of compassionate effort rather than mere business pursuits."', 'source_id': 'chunk-359187e7571bda4b0b08b2e0b6581e52'}> -2024-10-30 05:52:39,903 - lightrag - INFO - _do_upsert:query: - MERGE (n:`MANKIND`) - SET n += $properties - RETURN n - :result:{'entity_type': '"CONCEPT"', 'description': '"Mankind is referenced as a significant concern that should have been the focus of Scrooge\'s life, highlighting the importance of universal compassion and care.""Mankind is referenced as a significant concern that should have been the focus of Scrooge\'s life, highlighting the importance of universal compassion and care.""Mankind is referenced as a significant concern that should have been the focus of Scrooge\'s life, highlighting the importance of universal compassion and care.""Mankind signifies the broader human community, which Marley claims should be the focus of compassionate effort rather than mere business pursuits."', 'source_id': 'chunk-359187e7571bda4b0b08b2e0b6581e52'} -2024-10-30 05:52:40,035 - lightrag - INFO - get_node:query:MATCH (n:`ETERNAL CHAIN`) RETURN n:result: -2024-10-30 05:52:40,169 - lightrag - INFO - _do_upsert:query: - MERGE (n:`ETERNAL CHAIN`) - SET n += $properties - RETURN n - :result:{'entity_type': '"CONCEPT"', 'description': '"The Eternal Chain represents the burdens and consequences of one\'s actions in life, symbolizing the weight of regret carried by the Ghost."', 'source_id': 'chunk-359187e7571bda4b0b08b2e0b6581e52'} -2024-10-30 05:52:40,297 - lightrag - INFO - get_node:query:MATCH (n:`STAR`) RETURN n:result: -2024-10-30 05:52:40,437 - lightrag - INFO - _do_upsert:query: - MERGE (n:`STAR`) - SET n += $properties - RETURN n - :result:{'entity_type': '"GEO"', 'description': '"The Star symbolizes guidance and hope, referenced in connection with the Wise Men, representing the potential for enlightenment and moral direction."', 'source_id': 'chunk-359187e7571bda4b0b08b2e0b6581e52'} -2024-10-30 05:52:40,569 - lightrag - INFO - get_node:query:MATCH (n:`WISE MEN`) RETURN n:result: -2024-10-30 05:52:40,702 - lightrag - INFO - _do_upsert:query: - MERGE (n:`WISE MEN`) - SET n += $properties - RETURN n - :result:{'entity_type': '"PERSON"', 'description': '"The Wise Men are figures who followed the Star to bring gifts, embodying the values of recognition and generosity that Scrooge has neglected."', 'source_id': 'chunk-359187e7571bda4b0b08b2e0b6581e52'} -2024-10-30 05:52:40,828 - lightrag - INFO - get_node:query:MATCH (n:`FELLOW-BEINGS`) RETURN n:result: -2024-10-30 05:52:40,958 - lightrag - INFO - _do_upsert:query: - MERGE (n:`FELLOW-BEINGS`) - SET n += $properties - RETURN n - :result:{'entity_type': '"CONCEPT"', 'description': '"Fellow-beings are the people whom Scrooge ignored in life, representing the importance of community and connection."', 'source_id': 'chunk-359187e7571bda4b0b08b2e0b6581e52'} -2024-10-30 05:52:41,087 - lightrag - INFO - get_node:query:MATCH (n:`CHRISTMAS SPIRIT`) RETURN n:result: -2024-10-30 05:52:41,218 - lightrag - INFO - _do_upsert:query: - MERGE (n:`CHRISTMAS SPIRIT`) - SET n += $properties - RETURN n - :result:{'entity_type': '"CONCEPT"', 'description': '"The Christmas Spirit represents the ideals of generosity and kindness associated with the holiday season, which the Ghost encourages Scrooge to embrace."', 'source_id': 'chunk-359187e7571bda4b0b08b2e0b6581e52'} -2024-10-30 05:52:41,350 - lightrag - INFO - get_node:query:MATCH (n:`SPECTRE`) RETURN n:result: -2024-10-30 05:52:41,489 - lightrag - INFO - _do_upsert:query: - MERGE (n:`SPECTRE`) - SET n += $properties - RETURN n - :result:{'entity_type': '"PERSON"', 'description': '"The Spectre is another term for the Ghost, representing a manifestation of guilt and the need for change in Scrooge\'s life."', 'source_id': 'chunk-359187e7571bda4b0b08b2e0b6581e52'} -2024-10-30 05:52:41,619 - lightrag - INFO - get_node:query:MATCH (n:`THE THREE SPIRITS`) RETURN n:result:"The Three Spirits are the apparitions that Jacob Marley warns Scrooge about, who will visit him to guide him toward redemption.""The Three Spirits refer to the supernatural beings that are prophesied to visit Scrooge, each representing different aspects of time and morality."', 'source_id': 'chunk-cb661c37436355ccec2769b1d0350c5f'}> -2024-10-30 05:52:41,754 - lightrag - INFO - _do_upsert:query: - MERGE (n:`THE THREE SPIRITS`) - SET n += $properties - RETURN n - :result:{'entity_type': '"EVENT"', 'description': '"The Three Spirits are the apparitions that Jacob Marley warns Scrooge about, who will visit him to guide him toward redemption.""The Three Spirits are the apparitions that Jacob Marley warns Scrooge about, who will visit him to guide him toward redemption.""The Three Spirits are the apparitions that Jacob Marley warns Scrooge about, who will visit him to guide him toward redemption.""The Three Spirits refer to the supernatural beings that are prophesied to visit Scrooge, each representing different aspects of time and morality."', 'source_id': 'chunk-cb661c37436355ccec2769b1d0350c5f'} -2024-10-30 05:52:41,886 - lightrag - INFO - get_node:query:MATCH (n:`THE PHANTOM VOICES`) RETURN n:result: -2024-10-30 05:52:42,022 - lightrag - INFO - _do_upsert:query: - MERGE (n:`THE PHANTOM VOICES`) - SET n += $properties - RETURN n - :result:{'entity_type': '"EVENT"', 'description': '"The Phantom Voices refer to the sorrowful sounds of lamentation that Scrooge hears as the apparitions wander, representing lost opportunities and regret."', 'source_id': 'chunk-cb661c37436355ccec2769b1d0350c5f'} -2024-10-30 05:52:42,148 - lightrag - INFO - get_node:query:MATCH (n:`THE WINDOW`) RETURN n:result:"The Window is a physical presence in Scrooge\'s chamber that he approaches to observe the supernatural occurrences outside.""The Window represents a threshold between the visible and invisible worlds, allowing Scrooge a view into the realm of spirits and their lamentations."', 'source_id': 'chunk-cb661c37436355ccec2769b1d0350c5f'}> -2024-10-30 05:52:42,285 - lightrag - INFO - _do_upsert:query: - MERGE (n:`THE WINDOW`) - SET n += $properties - RETURN n - :result:{'entity_type': '"GEO"', 'description': '"The Window is a physical presence in Scrooge\'s chamber that he approaches to observe the supernatural occurrences outside.""The Window is a physical presence in Scrooge\'s chamber that he approaches to observe the supernatural occurrences outside.""The Window is a physical presence in Scrooge\'s chamber that he approaches to observe the supernatural occurrences outside.""The Window represents a threshold between the visible and invisible worlds, allowing Scrooge a view into the realm of spirits and their lamentations."', 'source_id': 'chunk-cb661c37436355ccec2769b1d0350c5f'} -2024-10-30 05:52:42,416 - lightrag - INFO - get_node:query:MATCH (n:`THE CLOCK`) RETURN n:result:"The Clock is mentioned as malfunctioning, which symbolizes the confusion and distortion of time that Scrooge experiences during his nighttime visitations.""The Clock serves as a symbol of time passing, reflecting Scrooge\'s disorientation regarding time as he transitions between reality and the supernatural.""The Clock signifies the passage of time during the Domestic Ball and plays a role in marking the end of the celebration.""The Clock serves as a symbol of time passing, reflecting Scrooge\'s disorientation regarding time as he transitions between reality and the supernatural.""The Clock signifies the passage of time during the Domestic Ball and plays a role in marking the end of the celebration."', 'source_id': 'chunk-c7b10789a9cb0af6c553730b29bd9034chunk-cb661c37436355ccec2769b1d0350c5fchunk-b2f98bc7abb0c67d4c86055c7fd72218'}> -2024-10-30 05:52:42,546 - lightrag - INFO - _do_upsert:query: - MERGE (n:`THE CLOCK`) - SET n += $properties - RETURN n - :result:{'entity_type': '"GEO"', 'description': '"The Clock is a device that malfunctions, contributing to Scrooge\'s confusion about time and reality in the narrative.""The Clock is mentioned as malfunctioning, which symbolizes the confusion and distortion of time that Scrooge experiences during his nighttime visitations.""The Clock serves as a symbol of time passing, reflecting Scrooge\'s disorientation regarding time as he transitions between reality and the supernatural.""The Clock signifies the passage of time during the Domestic Ball and plays a role in marking the end of the celebration.""The Clock serves as a symbol of time passing, reflecting Scrooge\'s disorientation regarding time as he transitions between reality and the supernatural.""The Clock signifies the passage of time during the Domestic Ball and plays a role in marking the end of the celebration.""The Clock serves as a symbol of time passing, reflecting Scrooge\'s disorientation regarding time as he transitions between reality and the supernatural.""The Clock signifies the passage of time during the Domestic Ball and plays a role in marking the end of the celebration."', 'source_id': 'chunk-c7b10789a9cb0af6c553730b29bd9034chunk-cb661c37436355ccec2769b1d0350c5fchunk-b2f98bc7abb0c67d4c86055c7fd72218'} -2024-10-30 05:52:42,679 - lightrag - INFO - get_node:query:MATCH (n:`THE DARKNESS`) RETURN n:result:"The Darkness symbolizes the confusion and the unknown that envelops Scrooge as he faces the reality of his past, present, and future.""The Darkness symbolizes the confusion and the unknown that envelops Scrooge as he faces the reality of his past, present, and future."', 'source_id': 'chunk-cb661c37436355ccec2769b1d0350c5f'}> -2024-10-30 05:52:42,812 - lightrag - INFO - _do_upsert:query: - MERGE (n:`THE DARKNESS`) - SET n += $properties - RETURN n - :result:{'entity_type': '"CONCEPT"', 'description': '"The Darkness refers to the absence of light, signifying uncertainty and fear in Scrooge\'s transformation journey.""The Darkness symbolizes the confusion and the unknown that envelops Scrooge as he faces the reality of his past, present, and future.""The Darkness symbolizes the confusion and the unknown that envelops Scrooge as he faces the reality of his past, present, and future.""The Darkness symbolizes the confusion and the unknown that envelops Scrooge as he faces the reality of his past, present, and future."', 'source_id': 'chunk-cb661c37436355ccec2769b1d0350c5f'} -2024-10-30 05:52:42,940 - lightrag - INFO - get_node:query:MATCH (n:`CLOCK`) RETURN n:result: -2024-10-30 05:52:43,075 - lightrag - INFO - _do_upsert:query: - MERGE (n:`CLOCK`) - SET n += $properties - RETURN n - :result:{'entity_type': '"ORGANIZATION"', 'description': '"The Clock symbolizes the passage of time and plays a pivotal role in establishing the moments of Scrooge\'s experience with the Ghost."', 'source_id': 'chunk-c7b10789a9cb0af6c553730b29bd9034'} -2024-10-30 05:52:43,204 - lightrag - INFO - get_node:query:MATCH (n:`HOLLY`) RETURN n:result:"Holly is a plant associated with Christmas, mentioned among other decorations that contribute to the festive atmosphere.""Holly is a symbol held by The Ghost, representing peace and goodwill, contrasting with the cold wintry atmosphere around Scrooge.""Holly is mentioned as part of the traditional decorations associated with Christmas, symbolizing festivity.""Holly represents a traditional decoration associated with Christmas, symbolizing festivity and the presence of the Christmas spirit.""Holly is a symbol held by The Ghost, representing peace and goodwill, contrasting with the cold wintry atmosphere around Scrooge.""Holly is mentioned as part of the traditional decorations associated with Christmas, symbolizing festivity.""Holly represents a traditional decoration associated with Christmas, symbolizing festivity and the presence of the Christmas spirit."', 'source_id': 'chunk-c7b10789a9cb0af6c553730b29bd9034chunk-843b5b2f944c7413d9ca876e2e2f151fchunk-99b0ec7f7e006561352b5d65e849611d'}> -2024-10-30 05:52:43,342 - lightrag - INFO - _do_upsert:query: - MERGE (n:`HOLLY`) - SET n += $properties - RETURN n - :result:{'entity_type': '"ORGANIZATION"', 'description': '"Holly is a plant associated with Christmas, featured prominently in the Spirit\'s attire, symbolizing joy and celebration during the festive season.""Holly is a plant associated with Christmas, mentioned among other decorations that contribute to the festive atmosphere.""Holly is a symbol held by The Ghost, representing peace and goodwill, contrasting with the cold wintry atmosphere around Scrooge.""Holly is mentioned as part of the traditional decorations associated with Christmas, symbolizing festivity.""Holly represents a traditional decoration associated with Christmas, symbolizing festivity and the presence of the Christmas spirit.""Holly is a symbol held by The Ghost, representing peace and goodwill, contrasting with the cold wintry atmosphere around Scrooge.""Holly is mentioned as part of the traditional decorations associated with Christmas, symbolizing festivity.""Holly represents a traditional decoration associated with Christmas, symbolizing festivity and the presence of the Christmas spirit.""Holly is a symbol held by The Ghost, representing peace and goodwill, contrasting with the cold wintry atmosphere around Scrooge.""Holly is mentioned as part of the traditional decorations associated with Christmas, symbolizing festivity.""Holly represents a traditional decoration associated with Christmas, symbolizing festivity and the presence of the Christmas spirit."', 'source_id': 'chunk-c7b10789a9cb0af6c553730b29bd9034chunk-843b5b2f944c7413d9ca876e2e2f151fchunk-99b0ec7f7e006561352b5d65e849611d'} -2024-10-30 05:52:43,474 - lightrag - INFO - get_node:query:MATCH (n:`LIGHT`) RETURN n:result:"Light is a prominent feature associated with The Ghost, symbolizing knowledge and revelation, illuminating the darkness of Scrooge\'s ignorance.""Light is a prominent feature associated with The Ghost, symbolizing knowledge and revelation, illuminating the darkness of Scrooge\'s ignorance."', 'source_id': 'chunk-c7b10789a9cb0af6c553730b29bd9034'}> -2024-10-30 05:52:43,609 - lightrag - INFO - _do_upsert:query: - MERGE (n:`LIGHT`) - SET n += $properties - RETURN n - :result:{'entity_type': '"CONCEPT"', 'description': '"Light emanates from The Visitor, symbolizing clarity, revelation, and the supernatural, contrasting with the darkness around Scrooge\'s situation.""Light is a prominent feature associated with The Ghost, symbolizing knowledge and revelation, illuminating the darkness of Scrooge\'s ignorance.""Light is a prominent feature associated with The Ghost, symbolizing knowledge and revelation, illuminating the darkness of Scrooge\'s ignorance.""Light is a prominent feature associated with The Ghost, symbolizing knowledge and revelation, illuminating the darkness of Scrooge\'s ignorance."', 'source_id': 'chunk-c7b10789a9cb0af6c553730b29bd9034'} -2024-10-30 05:52:43,737 - lightrag - INFO - get_node:query:MATCH (n:`WINTER`) RETURN n:result: -2024-10-30 05:52:43,867 - lightrag - INFO - _do_upsert:query: - MERGE (n:`WINTER`) - SET n += $properties - RETURN n - :result:{'entity_type': '"GEO"', 'description': '"Winter represents the cold and bleak environment that surrounds Scrooge during his nighttime encounters with the supernatural."', 'source_id': 'chunk-c7b10789a9cb0af6c553730b29bd9034'} -2024-10-30 05:52:43,993 - lightrag - INFO - get_node:query:MATCH (n:`THE DRESSING-GOWN`) RETURN n:result:"The Dressing-Gown is worn by Scrooge, symbolizing his state of vulnerability and introspection as he grapples with profound ideas in the narrative.""The Dressing-Gown is worn by Scrooge, symbolizing his state of vulnerability and introspection as he grapples with profound ideas in the narrative."', 'source_id': 'chunk-c7b10789a9cb0af6c553730b29bd9034chunk-9c43dac2fcd5b578242d907ea6f8fc7b'}> -2024-10-30 05:52:44,123 - lightrag - INFO - _do_upsert:query: - MERGE (n:`THE DRESSING-GOWN`) - SET n += $properties - RETURN n - :result:{'entity_type': '"ORGANIZATION"', 'description': '"The Dressing-Gown is worn by Scrooge, illustrating his solitary, night-time routine and emphasizing his isolation.""The Dressing-Gown is worn by Scrooge, symbolizing his state of vulnerability and introspection as he grapples with profound ideas in the narrative.""The Dressing-Gown is worn by Scrooge, symbolizing his state of vulnerability and introspection as he grapples with profound ideas in the narrative.""The Dressing-Gown is worn by Scrooge, symbolizing his state of vulnerability and introspection as he grapples with profound ideas in the narrative."', 'source_id': 'chunk-c7b10789a9cb0af6c553730b29bd9034chunk-9c43dac2fcd5b578242d907ea6f8fc7b'} -2024-10-30 05:52:44,251 - lightrag - INFO - get_node:query:MATCH (n:`TUNIC`) RETURN n:result: -2024-10-30 05:52:44,387 - lightrag - INFO - _do_upsert:query: - MERGE (n:`TUNIC`) - SET n += $properties - RETURN n - :result:{'entity_type': '"CONCEPT"', 'description': '"The Tunic is part of The Ghost\'s attire, signifying purity and heavenly qualities in contrast to Scrooge\'s current state."', 'source_id': 'chunk-c7b10789a9cb0af6c553730b29bd9034'} -2024-10-30 05:52:44,519 - lightrag - INFO - get_node:query:MATCH (n:`BELL`) RETURN n:result: -2024-10-30 05:52:44,653 - lightrag - INFO - _do_upsert:query: - MERGE (n:`BELL`) - SET n += $properties - RETURN n - :result:{'entity_type': '"EVENT"', 'description': '"The Bell signifies the passage of time and is crucial in alerting Scrooge to the hour of visitation by The Ghost."', 'source_id': 'chunk-c7b10789a9cb0af6c553730b29bd9034'} -2024-10-30 05:52:44,782 - lightrag - INFO - get_node:query:MATCH (n:`CLOCK'S STRIKE`) RETURN n:result: -2024-10-30 05:52:44,918 - lightrag - INFO - _do_upsert:query: - MERGE (n:`CLOCK'S STRIKE`) - SET n += $properties - RETURN n - :result:{'entity_type': '"EVENT"', 'description': '"The Clock\'s Strike is an event marking significant moments throughout the narrative, emphasizing the theme of time."', 'source_id': 'chunk-c7b10789a9cb0af6c553730b29bd9034'} -2024-10-30 05:52:45,047 - lightrag - INFO - get_node:query:MATCH (n:`DREAM`) RETURN n:result:"Dream refers to Scrooge\'s mental conflict regarding whether the spectral encounters are real or figments of his imagination.""Dream refers to the possibility that Scrooge\'s experiences are a figment of his imagination, reflecting his internal struggle with reality and perception."', 'source_id': 'chunk-c7b10789a9cb0af6c553730b29bd9034'}> -2024-10-30 05:52:45,179 - lightrag - INFO - _do_upsert:query: - MERGE (n:`DREAM`) - SET n += $properties - RETURN n - :result:{'entity_type': '"CONCEPT"', 'description': '"Dream refers to Scrooge\'s mental conflict regarding whether the spectral encounters are real or figments of his imagination.""Dream refers to Scrooge\'s mental conflict regarding whether the spectral encounters are real or figments of his imagination.""Dream refers to Scrooge\'s mental conflict regarding whether the spectral encounters are real or figments of his imagination.""Dream refers to the possibility that Scrooge\'s experiences are a figment of his imagination, reflecting his internal struggle with reality and perception."', 'source_id': 'chunk-c7b10789a9cb0af6c553730b29bd9034'} -2024-10-30 05:52:45,307 - lightrag - INFO - get_node:query:MATCH (n:`DING DONG`) RETURN n:result: -2024-10-30 05:52:45,447 - lightrag - INFO - _do_upsert:query: - MERGE (n:`DING DONG`) - SET n += $properties - RETURN n - :result:{'entity_type': '"EVENT"', 'description': '"Ding Dong represents the sound of the clock chimes, anchoring the reader in time and emphasizing the moments of realization for Scrooge."', 'source_id': 'chunk-c7b10789a9cb0af6c553730b29bd9034'} -2024-10-30 05:52:45,579 - lightrag - INFO - get_node:query:MATCH (n:`TIME`) RETURN n:result: -2024-10-30 05:52:45,712 - lightrag - INFO - _do_upsert:query: - MERGE (n:`TIME`) - SET n += $properties - RETURN n - :result:{'entity_type': '"CONCEPT"', 'description': '"Time is a central theme, with characters reflecting on its passage and significance in relation to life and revelations."', 'source_id': 'chunk-c7b10789a9cb0af6c553730b29bd9034'} -2024-10-30 05:52:45,841 - lightrag - INFO - get_node:query:MATCH (n:`THE SPIRIT`) RETURN n:result:chunk-91572b3cd42786ba4cb2f180ca25cbf4chunk-503f0bfa5453467c7c61d160a3540ecachunk-19d72c57ae3408758b18d2568e86dc6bchunk-b2f98bc7abb0c67d4c86055c7fd72218chunk-b0f459f5af1c3a5e0b92cbe4ee48b77bchunk-e1f29eeadc1d8ab46dc8a0bbd3c56b64chunk-91614df5cb74cbe5e109a338a82041e9chunk-da2472b4ef2a535b62908f14d0fb0ca9chunk-bb21d58d36c6306fd8810ddd51c4a971chunk-43c9bee23adfa77aa9dedd22401bba7dchunk-8590d9263cd2cd4fa583c432fc54e6c3'}> -2024-10-30 05:52:45,843 - lightrag - DEBUG - Trigger summary: "THE SPIRIT" -2024-10-30 05:52:45,944 - lightrag - INFO - get_node:query:MATCH (n:`WINTER DAY`) RETURN n:result:"The winter day serves as the setting for Scrooge\'s journey with the Ghost, representing a time for reflection and nostalgia.""The winter day serves as the setting for Scrooge\'s journey with the Ghost, representing a time for reflection and nostalgia."', 'source_id': 'chunk-bb21d58d36c6306fd8810ddd51c4a971'}> -2024-10-30 05:52:46,074 - lightrag - INFO - _do_upsert:query: - MERGE (n:`WINTER DAY`) - SET n += $properties - RETURN n - :result:{'entity_type': '"EVENT"', 'description': '"The Winter Day signifies the seasonal setting during Scrooge\'s journey through his memories, highlighting a clear, cold atmosphere filled with nostalgia.""The winter day serves as the setting for Scrooge\'s journey with the Ghost, representing a time for reflection and nostalgia.""The winter day serves as the setting for Scrooge\'s journey with the Ghost, representing a time for reflection and nostalgia.""The winter day serves as the setting for Scrooge\'s journey with the Ghost, representing a time for reflection and nostalgia."', 'source_id': 'chunk-bb21d58d36c6306fd8810ddd51c4a971'} -2024-10-30 05:52:46,207 - lightrag - INFO - get_node:query:MATCH (n:`MARKET-TOWN`) RETURN n:result:"The market-town appears in Scrooge\'s memories as a significant place from his childhood, representing a connection to his past.""The market-town appears in Scrooge\'s memories as a significant place from his childhood, representing a connection to his past."', 'source_id': 'chunk-bb21d58d36c6306fd8810ddd51c4a971'}> -2024-10-30 05:52:46,344 - lightrag - INFO - _do_upsert:query: - MERGE (n:`MARKET-TOWN`) - SET n += $properties - RETURN n - :result:{'entity_type': '"GEO"', 'description': '"The Market-Town is a nostalgic location from Scrooge\'s youth, evoking memories and emotions tied to his childhood.""The market-town appears in Scrooge\'s memories as a significant place from his childhood, representing a connection to his past.""The market-town appears in Scrooge\'s memories as a significant place from his childhood, representing a connection to his past.""The market-town appears in Scrooge\'s memories as a significant place from his childhood, representing a connection to his past."', 'source_id': 'chunk-bb21d58d36c6306fd8810ddd51c4a971'} -2024-10-30 05:52:46,478 - lightrag - INFO - get_node:query:MATCH (n:`BOYS`) RETURN n:result: -2024-10-30 05:52:46,610 - lightrag - INFO - _do_upsert:query: - MERGE (n:`BOYS`) - SET n += $properties - RETURN n - :result:{'entity_type': '"PERSON"', 'description': '"The boys are depicted as cheerful characters riding ponies, contributing to the joyful atmosphere and memories of Scrooge\'s past."', 'source_id': 'chunk-bb21d58d36c6306fd8810ddd51c4a971'} -2024-10-30 05:52:46,740 - lightrag - INFO - get_node:query:MATCH (n:`SHAGGY PONIES`) RETURN n:result: -2024-10-30 05:52:46,879 - lightrag - INFO - _do_upsert:query: - MERGE (n:`SHAGGY PONIES`) - SET n += $properties - RETURN n - :result:{'entity_type': '"GEO"', 'description': '"Shaggy ponies are mentioned as part of the scene, representing the innocent and playful aspects of Scrooge\'s childhood."', 'source_id': 'chunk-bb21d58d36c6306fd8810ddd51c4a971'} -2024-10-30 05:52:47,008 - lightrag - INFO - get_node:query:MATCH (n:`BRIDGE`) RETURN n:result: -2024-10-30 05:52:47,142 - lightrag - INFO - _do_upsert:query: - MERGE (n:`BRIDGE`) - SET n += $properties - RETURN n - :result:{'entity_type': '"GEO"', 'description': '"The bridge is a landmark in the market-town that Scrooge recognizes from his childhood, symbolizing a connection to his past."', 'source_id': 'chunk-bb21d58d36c6306fd8810ddd51c4a971'} -2024-10-30 05:52:47,270 - lightrag - INFO - get_node:query:MATCH (n:`CHURCH`) RETURN n:result: -2024-10-30 05:52:47,403 - lightrag - INFO - _do_upsert:query: - MERGE (n:`CHURCH`) - SET n += $properties - RETURN n - :result:{'entity_type': '"GEO"', 'description': '"The church is another landmark in the market-town representing tradition and community significant to Scrooge\'s memories."', 'source_id': 'chunk-bb21d58d36c6306fd8810ddd51c4a971'} -2024-10-30 05:52:47,529 - lightrag - INFO - get_node:query:MATCH (n:`WINDING RIVER`) RETURN n:result: -2024-10-30 05:52:47,660 - lightrag - INFO - _do_upsert:query: - MERGE (n:`WINDING RIVER`) - SET n += $properties - RETURN n - :result:{'entity_type': '"GEO"', 'description': '"The winding river is part of the landscape Scrooge recalls, tying into his emotions of nostalgia and remembrance of home."', 'source_id': 'chunk-bb21d58d36c6306fd8810ddd51c4a971'} -2024-10-30 05:52:47,790 - lightrag - INFO - get_node:query:MATCH (n:`ALI BABA`) RETURN n:result:"Ali Baba is a character from a story recalled by Scrooge, representing memories of adventure and kindness during Christmas.""Ali Baba is mentioned as a character from a story that impacts Scrooge during his reflection on Christmas and childhood."', 'source_id': 'chunk-8590d9263cd2cd4fa583c432fc54e6c3'}> -2024-10-30 05:52:47,922 - lightrag - INFO - _do_upsert:query: - MERGE (n:`ALI BABA`) - SET n += $properties - RETURN n - :result:{'entity_type': '"PERSON"', 'description': '"Ali Baba is a character from a story recalled by Scrooge, representing memories of adventure and kindness during Christmas.""Ali Baba is a character from a story recalled by Scrooge, representing memories of adventure and kindness during Christmas.""Ali Baba is a character from a story recalled by Scrooge, representing memories of adventure and kindness during Christmas.""Ali Baba is mentioned as a character from a story that impacts Scrooge during his reflection on Christmas and childhood."', 'source_id': 'chunk-8590d9263cd2cd4fa583c432fc54e6c3'} -2024-10-30 05:52:48,049 - lightrag - INFO - get_node:query:MATCH (n:`VALENTINE`) RETURN n:result:"Valentine is mentioned as a character associated with Scrooge\'s childhood memories, indicating the depth of his nostalgia.""Valentine is referenced as a brother of a character, and his presence contributes to the holiday memories Scrooge recalls."', 'source_id': 'chunk-8590d9263cd2cd4fa583c432fc54e6c3'}> -2024-10-30 05:52:48,183 - lightrag - INFO - _do_upsert:query: - MERGE (n:`VALENTINE`) - SET n += $properties - RETURN n - :result:{'entity_type': '"PERSON"', 'description': '"Valentine is mentioned as a character associated with Scrooge\'s childhood memories, indicating the depth of his nostalgia.""Valentine is mentioned as a character associated with Scrooge\'s childhood memories, indicating the depth of his nostalgia.""Valentine is mentioned as a character associated with Scrooge\'s childhood memories, indicating the depth of his nostalgia.""Valentine is referenced as a brother of a character, and his presence contributes to the holiday memories Scrooge recalls."', 'source_id': 'chunk-8590d9263cd2cd4fa583c432fc54e6c3'} -2024-10-30 05:52:48,312 - lightrag - INFO - get_node:query:MATCH (n:`ORSON`) RETURN n:result:"Orson, the wild brother of Valentine, is another figure from Scrooge\'s past, representing familial connections and memories.""Orson, the wild brother of Valentine, is another figure from Scrooge\'s past, representing familial connections and memories."', 'source_id': 'chunk-8590d9263cd2cd4fa583c432fc54e6c3'}> -2024-10-30 05:52:48,449 - lightrag - INFO - _do_upsert:query: - MERGE (n:`ORSON`) - SET n += $properties - RETURN n - :result:{'entity_type': '"PERSON"', 'description': '"Orson is mentioned as another brother mentioned by Scrooge, recalling his childhood tales and adventures.""Orson, the wild brother of Valentine, is another figure from Scrooge\'s past, representing familial connections and memories.""Orson, the wild brother of Valentine, is another figure from Scrooge\'s past, representing familial connections and memories.""Orson, the wild brother of Valentine, is another figure from Scrooge\'s past, representing familial connections and memories."', 'source_id': 'chunk-8590d9263cd2cd4fa583c432fc54e6c3'} -2024-10-30 05:52:48,579 - lightrag - INFO - get_node:query:MATCH (n:`MANSION`) RETURN n:result: -2024-10-30 05:52:48,713 - lightrag - INFO - _do_upsert:query: - MERGE (n:`MANSION`) - SET n += $properties - RETURN n - :result:{'entity_type': '"GEO"', 'description': '"The Mansion is a large house described as being in a state of decay and neglect, serving as a setting for Scrooge\'s memories."', 'source_id': 'chunk-8590d9263cd2cd4fa583c432fc54e6c3'} -2024-10-30 05:52:48,842 - lightrag - INFO - get_node:query:MATCH (n:`CHILD`) RETURN n:result: -2024-10-30 05:52:48,972 - lightrag - INFO - _do_upsert:query: - MERGE (n:`CHILD`) - SET n += $properties - RETURN n - :result:{'entity_type': '"PERSON"', 'description': '"The Child is a solitary figure leaving in the school, representing loneliness and the emotions tied to Scrooge\'s memories of his younger self."', 'source_id': 'chunk-8590d9263cd2cd4fa583c432fc54e6c3'} -2024-10-30 05:52:49,101 - lightrag - INFO - get_node:query:MATCH (n:`ROBIN CRUSOE`) RETURN n:result:"Robin Crusoe is a character from literature that Scrooge remembers fondly, illustrating his connection to stories of adventure and survival.""Robin Crusoe is a character referenced by Scrooge as part of his memories, signifying tales of adventure and nostalgia."', 'source_id': 'chunk-8590d9263cd2cd4fa583c432fc54e6c3'}> -2024-10-30 05:52:49,234 - lightrag - INFO - _do_upsert:query: - MERGE (n:`ROBIN CRUSOE`) - SET n += $properties - RETURN n - :result:{'entity_type': '"PERSON"', 'description': '"Robin Crusoe is a character from literature that Scrooge remembers fondly, illustrating his connection to stories of adventure and survival.""Robin Crusoe is a character from literature that Scrooge remembers fondly, illustrating his connection to stories of adventure and survival.""Robin Crusoe is a character from literature that Scrooge remembers fondly, illustrating his connection to stories of adventure and survival.""Robin Crusoe is a character referenced by Scrooge as part of his memories, signifying tales of adventure and nostalgia."', 'source_id': 'chunk-8590d9263cd2cd4fa583c432fc54e6c3'} -2024-10-30 05:52:49,361 - lightrag - INFO - get_node:query:MATCH (n:`FRIDAY`) RETURN n:result:"Friday is another character from the story of Robin Crusoe, noted in Scrooge\'s memories, indicating the impact of literature on his nostalgia.""Friday is another character from the story of Robin Crusoe, noted in Scrooge\'s memories, indicating the impact of literature on his nostalgia."', 'source_id': 'chunk-8590d9263cd2cd4fa583c432fc54e6c3'}> -2024-10-30 05:52:49,496 - lightrag - INFO - _do_upsert:query: - MERGE (n:`FRIDAY`) - SET n += $properties - RETURN n - :result:{'entity_type': '"PERSON"', 'description': '"Friday is another character from a story mentioned by Scrooge during his nostalgic recollections of childhood.""Friday is another character from the story of Robin Crusoe, noted in Scrooge\'s memories, indicating the impact of literature on his nostalgia.""Friday is another character from the story of Robin Crusoe, noted in Scrooge\'s memories, indicating the impact of literature on his nostalgia.""Friday is another character from the story of Robin Crusoe, noted in Scrooge\'s memories, indicating the impact of literature on his nostalgia."', 'source_id': 'chunk-8590d9263cd2cd4fa583c432fc54e6c3'} -2024-10-30 05:52:49,626 - lightrag - INFO - get_node:query:MATCH (n:`THE PARROT`) RETURN n:result: -2024-10-30 05:52:49,756 - lightrag - INFO - _do_upsert:query: - MERGE (n:`THE PARROT`) - SET n += $properties - RETURN n - :result:{'entity_type': '"PERSON"', 'description': '"The Parrot is a character in Scrooge\'s memory tied to Robin Crusoe, representing Scrooge\'s whimsical recollections."', 'source_id': 'chunk-8590d9263cd2cd4fa583c432fc54e6c3'} -2024-10-30 05:52:49,882 - lightrag - INFO - get_node:query:MATCH (n:`DICK WILKINS`) RETURN n:result:"Dick Wilkins is Scrooge\'s fellow apprentice and close companion during his younger years, indicating camaraderie during their apprenticeship.""Dick Wilkins is Scrooge\'s fellow apprentice, associated with Scrooge\'s past and the context of his earlier, more carefree life.""Dick Wilkins is a former apprentice of Scrooge, remembered fondly for his attachment to Scrooge.""Dick Wilkins is Scrooge\'s fellow apprentice, associated with Scrooge\'s past and the context of his earlier, more carefree life.""Dick Wilkins is a former apprentice of Scrooge, remembered fondly for his attachment to Scrooge."', 'source_id': 'chunk-c6c248858d1b13ab7ee9ca13c1aeed6bchunk-8bc1edd983869352d14cf0886a9175a7'}> -2024-10-30 05:52:50,013 - lightrag - INFO - _do_upsert:query: - MERGE (n:`DICK WILKINS`) - SET n += $properties - RETURN n - :result:{'entity_type': '"PERSON"', 'description': '"Dick Wilkins is Ebenezer\'s fellow apprentice, with whom he shared a strong attachment during their youth.""Dick Wilkins is Scrooge\'s fellow apprentice and close companion during his younger years, indicating camaraderie during their apprenticeship.""Dick Wilkins is Scrooge\'s fellow apprentice, associated with Scrooge\'s past and the context of his earlier, more carefree life.""Dick Wilkins is a former apprentice of Scrooge, remembered fondly for his attachment to Scrooge.""Dick Wilkins is Scrooge\'s fellow apprentice, associated with Scrooge\'s past and the context of his earlier, more carefree life.""Dick Wilkins is a former apprentice of Scrooge, remembered fondly for his attachment to Scrooge.""Dick Wilkins is Scrooge\'s fellow apprentice, associated with Scrooge\'s past and the context of his earlier, more carefree life.""Dick Wilkins is a former apprentice of Scrooge, remembered fondly for his attachment to Scrooge."', 'source_id': 'chunk-8bc1edd983869352d14cf0886a9175a7chunk-c6c248858d1b13ab7ee9ca13c1aeed6b'} -2024-10-30 05:52:50,143 - lightrag - INFO - get_node:query:MATCH (n:`THE CITY`) RETURN n:result:"The City represents the bustling urban environment where Scrooge reflects on his past, filled with activity and shadowy figures.""The City, from which Scrooge is transported, represents his past life and is contrasted with the open country road that signifies his memories.""The City refers to the broader urban environment in which Scrooge operates and signifies the societal norms and attitudes towards Christmas.""The City represents the bustling urban environment where Scrooge\'s memories unfold, highlighting the contrast between his past and present.""The City refers to the broader urban environment in which Scrooge operates and signifies the societal norms and attitudes towards Christmas.""The City represents the bustling urban environment where Scrooge\'s memories unfold, highlighting the contrast between his past and present."', 'source_id': 'chunk-74e2466de2f67fd710ef2f20c0a8d9e0chunk-c6c248858d1b13ab7ee9ca13c1aeed6bchunk-94bea83e7153fc2064aa382b494936a1chunk-bb21d58d36c6306fd8810ddd51c4a971'}> -2024-10-30 05:52:50,274 - lightrag - INFO - _do_upsert:query: - MERGE (n:`THE CITY`) - SET n += $properties - RETURN n - :result:{'entity_type': '"GEO"', 'description': '"The City provides the backdrop for Scrooge\'s story, representing the bustling environment that underscores his loneliness and detachment from society.""The City represents the bustling urban environment where Scrooge reflects on his past, filled with activity and shadowy figures.""The City, from which Scrooge is transported, represents his past life and is contrasted with the open country road that signifies his memories.""The City refers to the broader urban environment in which Scrooge operates and signifies the societal norms and attitudes towards Christmas.""The City represents the bustling urban environment where Scrooge\'s memories unfold, highlighting the contrast between his past and present.""The City refers to the broader urban environment in which Scrooge operates and signifies the societal norms and attitudes towards Christmas.""The City represents the bustling urban environment where Scrooge\'s memories unfold, highlighting the contrast between his past and present.""The City refers to the broader urban environment in which Scrooge operates and signifies the societal norms and attitudes towards Christmas.""The City represents the bustling urban environment where Scrooge\'s memories unfold, highlighting the contrast between his past and present."', 'source_id': 'chunk-94bea83e7153fc2064aa382b494936a1chunk-bb21d58d36c6306fd8810ddd51c4a971chunk-c6c248858d1b13ab7ee9ca13c1aeed6bchunk-74e2466de2f67fd710ef2f20c0a8d9e0'} -2024-10-30 05:52:50,402 - lightrag - INFO - get_node:query:MATCH (n:`HOME`) RETURN n:result:"Home represents the physical and emotional center for the family, where the Christmas celebration takes place.""Home symbolizes warmth, safety, and family connection, representing what Scrooge yearns for but has lost in his life.""Home symbolizes warmth, safety, and family connection, representing what Scrooge yearns for but has lost in his life."', 'source_id': 'chunk-da2472b4ef2a535b62908f14d0fb0ca9chunk-c6c248858d1b13ab7ee9ca13c1aeed6b'}> -2024-10-30 05:52:50,535 - lightrag - INFO - _do_upsert:query: - MERGE (n:`HOME`) - SET n += $properties - RETURN n - :result:{'entity_type': '"CONCEPT"', 'description': '"Home represents the physical and emotional center for the family, where the Christmas celebration takes place.""Home represents the physical and emotional center for the family, where the Christmas celebration takes place.""Home represents the physical and emotional center for the family, where the Christmas celebration takes place.""Home symbolizes warmth, safety, and family connection, representing what Scrooge yearns for but has lost in his life.""Home symbolizes warmth, safety, and family connection, representing what Scrooge yearns for but has lost in his life.""Home symbolizes warmth, safety, and family connection, representing what Scrooge yearns for but has lost in his life."', 'source_id': 'chunk-c6c248858d1b13ab7ee9ca13c1aeed6bchunk-da2472b4ef2a535b62908f14d0fb0ca9'} -2024-10-30 05:52:50,665 - lightrag - INFO - get_node:query:MATCH (n:`COACH`) RETURN n:result: -2024-10-30 05:52:50,798 - lightrag - INFO - _do_upsert:query: - MERGE (n:`COACH`) - SET n += $properties - RETURN n - :result:{'entity_type': '"CONCEPT"', 'description': '"The Coach is a means of transport that signifies the transition from Scrooge\'s lonely past to the possibility of companionship and warmth."', 'source_id': 'chunk-c6c248858d1b13ab7ee9ca13c1aeed6b'} -2024-10-30 05:52:50,926 - lightrag - INFO - get_node:query:MATCH (n:`THE SCHOOL`) RETURN n:result: -2024-10-30 05:52:51,055 - lightrag - INFO - _do_upsert:query: - MERGE (n:`THE SCHOOL`) - SET n += $properties - RETURN n - :result:{'entity_type': '"ORGANIZATION"', 'description': '"The School represents the institutional aspect of Scrooge\'s childhood, contrasting with the warmth and love represented by Fan."', 'source_id': 'chunk-c6c248858d1b13ab7ee9ca13c1aeed6b'} -2024-10-30 05:52:51,181 - lightrag - INFO - get_node:query:MATCH (n:`COLD`) RETURN n:result: -2024-10-30 05:52:51,312 - lightrag - INFO - _do_upsert:query: - MERGE (n:`COLD`) - SET n += $properties - RETURN n - :result:{'entity_type': '"CONCEPT"', 'description': '"Cold symbolizes the emotional detachment and isolation present in Scrooge\'s life, contrasting with the warmth of family and connection that he longs for."', 'source_id': 'chunk-c6c248858d1b13ab7ee9ca13c1aeed6b'} -2024-10-30 05:52:51,439 - lightrag - INFO - get_node:query:MATCH (n:`EVENING`) RETURN n:result: -2024-10-30 05:52:51,572 - lightrag - INFO - _do_upsert:query: - MERGE (n:`EVENING`) - SET n += $properties - RETURN n - :result:{'entity_type': '"EVENT"', 'description': '"Evening represents a time of transition and reflection as Scrooge recalls his past and seeks transformation."', 'source_id': 'chunk-c6c248858d1b13ab7ee9ca13c1aeed6b'} -2024-10-30 05:52:51,702 - lightrag - INFO - get_node:query:MATCH (n:`THE PARTY`) RETURN n:result:"The Party refers to the potential gathering for the funeral, which the characters consider with amusement rather than sincerity.""The Party refers to festive gatherings that Fezziwig hosts, showcasing joy and camaraderie during the Christmas season.""The Party refers to festive gatherings that Fezziwig hosts, showcasing joy and camaraderie during the Christmas season."', 'source_id': 'chunk-c6c248858d1b13ab7ee9ca13c1aeed6bchunk-f1a4fbcf1ed86864b9bfd5e8dba4c683chunk-94bea83e7153fc2064aa382b494936a1'}> -2024-10-30 05:52:51,836 - lightrag - INFO - _do_upsert:query: - MERGE (n:`THE PARTY`) - SET n += $properties - RETURN n - :result:{'entity_type': '"EVENT"', 'description': '"The Party is a festive gathering that celebrates Christmas, filled with games and joyful unity among friends and family.""The Party refers to the potential gathering for the funeral, which the characters consider with amusement rather than sincerity.""The Party refers to festive gatherings that Fezziwig hosts, showcasing joy and camaraderie during the Christmas season.""The Party refers to festive gatherings that Fezziwig hosts, showcasing joy and camaraderie during the Christmas season.""The Party refers to festive gatherings that Fezziwig hosts, showcasing joy and camaraderie during the Christmas season."', 'source_id': 'chunk-f1a4fbcf1ed86864b9bfd5e8dba4c683chunk-94bea83e7153fc2064aa382b494936a1chunk-c6c248858d1b13ab7ee9ca13c1aeed6b'} -2024-10-30 05:52:51,962 - lightrag - INFO - get_node:query:MATCH (n:`THE CHILDREN`) RETURN n:result:"The Children are a group experiencing feelings of wonder and delight during the gift-giving scene, highlighting innocence and joy.""The Children are a lively group in the matron\'s home, symbolizing joy, chaos, and familial warmth.""The Children in the Cratchit family represent innocence and curiosity, highlighting the effects of their family\'s struggles on their happiness.""The Children refer to the group of young individuals filled with wonder and delight during the Christmas festivities.""The Children serve as symbols of innocence and joy, representing the untainted happiness of childhood that Scrooge longs to reconnect with.""The children are the offspring of the Cratchit family, showcasing innocence and joy during the Christmas celebrations, reacting with laughter and cheer.""The Children are a lively group in the matron\'s home, symbolizing joy, chaos, and familial warmth.""The Children in the Cratchit family represent innocence and curiosity, highlighting the effects of their family\'s struggles on their happiness.""The Children serve as symbols of innocence and joy, representing the untainted happiness of childhood that Scrooge longs to reconnect with.""The children are the offspring of the Cratchit family, showcasing innocence and joy during the Christmas celebrations, reacting with laughter and cheer."', 'source_id': 'chunk-83ac129dc9b56f84c46760d153d68e93chunk-19d72c57ae3408758b18d2568e86dc6bchunk-c6c248858d1b13ab7ee9ca13c1aeed6bchunk-da2472b4ef2a535b62908f14d0fb0ca9chunk-54bdd22db1f84a965b5f4c06c9216d8d'}> -2024-10-30 05:52:52,094 - lightrag - INFO - _do_upsert:query: - MERGE (n:`THE CHILDREN`) - SET n += $properties - RETURN n - :result:{'entity_type': '"PERSON"', 'description': '"The Children are a group experiencing feelings of wonder and delight during the gift-giving scene, highlighting innocence and joy.""The Children are a group experiencing feelings of wonder and delight during the gift-giving scene, highlighting innocence and joy.""The Children are a group experiencing feelings of wonder and delight during the gift-giving scene, highlighting innocence and joy.""The Children are a lively group in the matron\'s home, symbolizing joy, chaos, and familial warmth.""The Children in the Cratchit family represent innocence and curiosity, highlighting the effects of their family\'s struggles on their happiness.""The Children refer to the group of young individuals filled with wonder and delight during the Christmas festivities.""The Children serve as symbols of innocence and joy, representing the untainted happiness of childhood that Scrooge longs to reconnect with.""The children are the offspring of the Cratchit family, showcasing innocence and joy during the Christmas celebrations, reacting with laughter and cheer.""The Children are a lively group in the matron\'s home, symbolizing joy, chaos, and familial warmth.""The Children in the Cratchit family represent innocence and curiosity, highlighting the effects of their family\'s struggles on their happiness.""The Children serve as symbols of innocence and joy, representing the untainted happiness of childhood that Scrooge longs to reconnect with.""The children are the offspring of the Cratchit family, showcasing innocence and joy during the Christmas celebrations, reacting with laughter and cheer.""The Children are a lively group in the matron\'s home, symbolizing joy, chaos, and familial warmth.""The Children in the Cratchit family represent innocence and curiosity, highlighting the effects of their family\'s struggles on their happiness.""The Children serve as symbols of innocence and joy, representing the untainted happiness of childhood that Scrooge longs to reconnect with.""The children are the offspring of the Cratchit family, showcasing innocence and joy during the Christmas celebrations, reacting with laughter and cheer."', 'source_id': 'chunk-54bdd22db1f84a965b5f4c06c9216d8dchunk-19d72c57ae3408758b18d2568e86dc6bchunk-c6c248858d1b13ab7ee9ca13c1aeed6bchunk-83ac129dc9b56f84c46760d153d68e93chunk-da2472b4ef2a535b62908f14d0fb0ca9'} -2024-10-30 05:52:52,221 - lightrag - INFO - get_node:query:MATCH (n:`A COACH TO BRING YOU HOME`) RETURN n:result: -2024-10-30 05:52:52,352 - lightrag - INFO - _do_upsert:query: - MERGE (n:`A COACH TO BRING YOU HOME`) - SET n += $properties - RETURN n - :result:{'entity_type': '"CONCEPT"', 'description': '"A Coach to Bring You Home symbolizes the hope and opportunity for reconnection and warmth in Scrooge\'s life."', 'source_id': 'chunk-c6c248858d1b13ab7ee9ca13c1aeed6b'} -2024-10-30 05:52:52,483 - lightrag - INFO - get_node:query:MATCH (n:`THE DANCERS`) RETURN n:result: -2024-10-30 05:52:52,616 - lightrag - INFO - _do_upsert:query: - MERGE (n:`THE DANCERS`) - SET n += $properties - RETURN n - :result:{'entity_type': '"ORGANIZATION"', 'description': '"The Dancers represent the lively group of people celebrating and participating in the festivities organized by Fezziwig."', 'source_id': 'chunk-8bc1edd983869352d14cf0886a9175a7'} -2024-10-30 05:52:52,745 - lightrag - INFO - get_node:query:MATCH (n:`THE FIDDLER`) RETURN n:result:"The Fiddler is a musician who plays at Fezziwig\'s celebration, providing music for the dancers and contributing to the festive atmosphere.""The Fiddler is a musician who plays during the festivities, contributing to the atmosphere of joy and celebration."', 'source_id': 'chunk-8bc1edd983869352d14cf0886a9175a7'}> -2024-10-30 05:52:52,881 - lightrag - INFO - _do_upsert:query: - MERGE (n:`THE FIDDLER`) - SET n += $properties - RETURN n - :result:{'entity_type': '"PERSON"', 'description': '"The Fiddler is a musician who plays at Fezziwig\'s celebration, providing music for the dancers and contributing to the festive atmosphere.""The Fiddler is a musician who plays at Fezziwig\'s celebration, providing music for the dancers and contributing to the festive atmosphere.""The Fiddler is a musician who plays at Fezziwig\'s celebration, providing music for the dancers and contributing to the festive atmosphere.""The Fiddler is a musician who plays during the festivities, contributing to the atmosphere of joy and celebration."', 'source_id': 'chunk-8bc1edd983869352d14cf0886a9175a7'} -2024-10-30 05:52:53,008 - lightrag - INFO - get_node:query:MATCH (n:`THE THREE MISS FEZZIWIGS`) RETURN n:result: -2024-10-30 05:52:53,143 - lightrag - INFO - _do_upsert:query: - MERGE (n:`THE THREE MISS FEZZIWIGS`) - SET n += $properties - RETURN n - :result:{'entity_type': '"PERSON"', 'description': '"The Three Miss Fezziwigs are jovial participants in the celebration, characterized by their lovable demeanor."', 'source_id': 'chunk-8bc1edd983869352d14cf0886a9175a7'} -2024-10-30 05:52:53,267 - lightrag - INFO - get_node:query:MATCH (n:`YOUNG FOLLOWERS`) RETURN n:result: -2024-10-30 05:52:53,405 - lightrag - INFO - _do_upsert:query: - MERGE (n:`YOUNG FOLLOWERS`) - SET n += $properties - RETURN n - :result:{'entity_type': '"ORGANIZATION"', 'description': '"The Young Followers consist of several young men and women who are employed in Fezziwig\'s business and participate in the festivities."', 'source_id': 'chunk-8bc1edd983869352d14cf0886a9175a7'} -2024-10-30 05:52:53,530 - lightrag - INFO - get_node:query:MATCH (n:`THE HOUSEMAID`) RETURN n:result:"The Housemaid is a character present during the celebrations, contributing to the lively atmosphere of the evening.""The Housemaid is mentioned as part of the domestic staff involved in the celebration, contributing to the jovial atmosphere."', 'source_id': 'chunk-8bc1edd983869352d14cf0886a9175a7'}> -2024-10-30 05:52:53,661 - lightrag - INFO - _do_upsert:query: - MERGE (n:`THE HOUSEMAID`) - SET n += $properties - RETURN n - :result:{'entity_type': '"PERSON"', 'description': '"The Housemaid is a character present during the celebrations, contributing to the lively atmosphere of the evening.""The Housemaid is a character present during the celebrations, contributing to the lively atmosphere of the evening.""The Housemaid is a character present during the celebrations, contributing to the lively atmosphere of the evening.""The Housemaid is mentioned as part of the domestic staff involved in the celebration, contributing to the jovial atmosphere."', 'source_id': 'chunk-8bc1edd983869352d14cf0886a9175a7'} -2024-10-30 05:52:53,791 - lightrag - INFO - get_node:query:MATCH (n:`THE COOK`) RETURN n:result:"The Cook is another character involved in the celebrations, participating in the festivities alongside other guests.""The Cook is part of the household and participates in the festive gathering, alongside other staff."', 'source_id': 'chunk-8bc1edd983869352d14cf0886a9175a7'}> -2024-10-30 05:52:53,925 - lightrag - INFO - _do_upsert:query: - MERGE (n:`THE COOK`) - SET n += $properties - RETURN n - :result:{'entity_type': '"PERSON"', 'description': '"The Cook is another character involved in the celebrations, participating in the festivities alongside other guests.""The Cook is another character involved in the celebrations, participating in the festivities alongside other guests.""The Cook is another character involved in the celebrations, participating in the festivities alongside other guests.""The Cook is part of the household and participates in the festive gathering, alongside other staff."', 'source_id': 'chunk-8bc1edd983869352d14cf0886a9175a7'} -2024-10-30 05:52:54,052 - lightrag - INFO - get_node:query:MATCH (n:`THE BAKER`) RETURN n:result:"The Baker is related to the Housemaid and present during the celebrations, adding to the communal aspect of the event.""The Baker is related to the Housemaid and present during the celebrations, adding to the communal aspect of the event."', 'source_id': 'chunk-8bc1edd983869352d14cf0886a9175a7'}> -2024-10-30 05:52:54,184 - lightrag - INFO - _do_upsert:query: - MERGE (n:`THE BAKER`) - SET n += $properties - RETURN n - :result:{'entity_type': '"PERSON"', 'description': '"The Baker is a cousin to the housemaid, indicating the interconnectedness of the household staff during the festivities.""The Baker is related to the Housemaid and present during the celebrations, adding to the communal aspect of the event.""The Baker is related to the Housemaid and present during the celebrations, adding to the communal aspect of the event.""The Baker is related to the Housemaid and present during the celebrations, adding to the communal aspect of the event."', 'source_id': 'chunk-8bc1edd983869352d14cf0886a9175a7'} -2024-10-30 05:52:54,313 - lightrag - INFO - get_node:query:MATCH (n:`THE BOY FROM OVER THE WAY`) RETURN n:result: -2024-10-30 05:52:54,449 - lightrag - INFO - _do_upsert:query: - MERGE (n:`THE BOY FROM OVER THE WAY`) - SET n += $properties - RETURN n - :result:{'entity_type': '"PERSON"', 'description': '"The Boy from Over the Way is a humorous character trying to hide behind another participant, showcasing the inclusiveness of the celebrations."', 'source_id': 'chunk-8bc1edd983869352d14cf0886a9175a7'} -2024-10-30 05:52:54,579 - lightrag - INFO - get_node:query:MATCH (n:`THE GIRL FROM NEXT DOOR`) RETURN n:result: -2024-10-30 05:52:54,712 - lightrag - INFO - _do_upsert:query: - MERGE (n:`THE GIRL FROM NEXT DOOR`) - SET n += $properties - RETURN n - :result:{'entity_type': '"PERSON"', 'description': '"The Girl from Next Door is referenced as hiding from the Boy, illustrating the interactions during the event."', 'source_id': 'chunk-8bc1edd983869352d14cf0886a9175a7'} -2024-10-30 05:52:54,845 - lightrag - INFO - get_node:query:MATCH (n:`DICK`) RETURN n:result:"Dick is associated with Scrooge\'s former self, evoking nostalgic memories as Scrooge witnesses the past.""Dick is associated with Scrooge\'s former self, evoking nostalgic memories as Scrooge witnesses the past."', 'source_id': 'chunk-b2f98bc7abb0c67d4c86055c7fd72218'}> -2024-10-30 05:52:54,986 - lightrag - INFO - _do_upsert:query: - MERGE (n:`DICK`) - SET n += $properties - RETURN n - :result:{'entity_type': '"PERSON"', 'description': '"Dick is a character from Scrooge\'s past, reminisced about during the scene, representing the camaraderie shared during the ball.""Dick is associated with Scrooge\'s former self, evoking nostalgic memories as Scrooge witnesses the past.""Dick is associated with Scrooge\'s former self, evoking nostalgic memories as Scrooge witnesses the past.""Dick is associated with Scrooge\'s former self, evoking nostalgic memories as Scrooge witnesses the past."', 'source_id': 'chunk-b2f98bc7abb0c67d4c86055c7fd72218'} -2024-10-30 05:52:55,115 - lightrag - INFO - get_node:query:MATCH (n:`THE GHOST OF CHRISTMAS PAST`) RETURN n:result:"The Ghost of Christmas Past is a supernatural entity that allows Scrooge to revisit and reflect on his previous life experiences.""The Ghost of Christmas Past is a supernatural entity that shows Scrooge moments from his past, eliciting reflection and emotion.""The Ghost of Christmas Past represents Scrooge\'s history and helps him confront his former self and decisions made in life.""The Ghost of Christmas Past represents Scrooge\'s history and helps him confront his former self and decisions made in life."', 'source_id': 'chunk-90b95db5c53e4364a6bee36b7aa4d70fchunk-b2f98bc7abb0c67d4c86055c7fd72218'}> -2024-10-30 05:52:55,250 - lightrag - INFO - _do_upsert:query: - MERGE (n:`THE GHOST OF CHRISTMAS PAST`) - SET n += $properties - RETURN n - :result:{'entity_type': '"EVENT"', 'description': '"The Ghost of Christmas Past is a supernatural entity that allows Scrooge to revisit and reflect on his previous life experiences.""The Ghost of Christmas Past is a supernatural entity that allows Scrooge to revisit and reflect on his previous life experiences.""The Ghost of Christmas Past is a supernatural entity that allows Scrooge to revisit and reflect on his previous life experiences.""The Ghost of Christmas Past is a supernatural entity that shows Scrooge moments from his past, eliciting reflection and emotion.""The Ghost of Christmas Past represents Scrooge\'s history and helps him confront his former self and decisions made in life.""The Ghost of Christmas Past represents Scrooge\'s history and helps him confront his former self and decisions made in life.""The Ghost of Christmas Past represents Scrooge\'s history and helps him confront his former self and decisions made in life."', 'source_id': 'chunk-90b95db5c53e4364a6bee36b7aa4d70fchunk-b2f98bc7abb0c67d4c86055c7fd72218'} -2024-10-30 05:52:55,378 - lightrag - INFO - get_node:query:MATCH (n:`THE DOMESTIC BALL`) RETURN n:result:"The Domestic Ball represents a joyful gathering, fostering a sense of community and happiness among the participants.""The Domestic Ball represents a joyful gathering, fostering a sense of community and happiness among the participants."', 'source_id': 'chunk-b2f98bc7abb0c67d4c86055c7fd72218'}> -2024-10-30 05:52:55,510 - lightrag - INFO - _do_upsert:query: - MERGE (n:`THE DOMESTIC BALL`) - SET n += $properties - RETURN n - :result:{'entity_type': '"EVENT"', 'description': '"The Domestic Ball is a joyful celebration organized by Fezziwig, where guests enjoy dancing and merry exchanges.""The Domestic Ball represents a joyful gathering, fostering a sense of community and happiness among the participants.""The Domestic Ball represents a joyful gathering, fostering a sense of community and happiness among the participants.""The Domestic Ball represents a joyful gathering, fostering a sense of community and happiness among the participants."', 'source_id': 'chunk-b2f98bc7abb0c67d4c86055c7fd72218'} -2024-10-30 05:52:55,646 - lightrag - INFO - get_node:query:MATCH (n:`THE TWO APPRENTICES`) RETURN n:result:"The Two Apprentices are characters present at the Domestic Ball, who express gratitude and admiration for Fezziwig after the event.""The Two Apprentices are characters present at the Domestic Ball, who express gratitude and admiration for Fezziwig after the event."', 'source_id': 'chunk-b2f98bc7abb0c67d4c86055c7fd72218'}> -2024-10-30 05:52:55,779 - lightrag - INFO - _do_upsert:query: - MERGE (n:`THE TWO APPRENTICES`) - SET n += $properties - RETURN n - :result:{'entity_type': '"PERSON"', 'description': '"The Two Apprentices are characters from Fezziwig\'s establishment who express gratitude and admiration for Fezziwig\'s positive influence during the Domestic Ball.""The Two Apprentices are characters present at the Domestic Ball, who express gratitude and admiration for Fezziwig after the event.""The Two Apprentices are characters present at the Domestic Ball, who express gratitude and admiration for Fezziwig after the event.""The Two Apprentices are characters present at the Domestic Ball, who express gratitude and admiration for Fezziwig after the event."', 'source_id': 'chunk-b2f98bc7abb0c67d4c86055c7fd72218'} -2024-10-30 05:52:55,908 - lightrag - INFO - get_node:query:MATCH (n:`THE GOLDEN IDOL`) RETURN n:result: -2024-10-30 05:52:56,043 - lightrag - INFO - _do_upsert:query: - MERGE (n:`THE GOLDEN IDOL`) - SET n += $properties - RETURN n - :result:{'entity_type': '"CONCEPT"', 'description': '"The Golden Idol symbolizes materialism and the pursuit of wealth, indicating a shift in Scrooge\'s values over time."', 'source_id': 'chunk-b2f98bc7abb0c67d4c86055c7fd72218'} -2024-10-30 05:52:56,170 - lightrag - INFO - get_node:query:MATCH (n:`THE PRIME OF LIFE`) RETURN n:result: -2024-10-30 05:52:56,301 - lightrag - INFO - _do_upsert:query: - MERGE (n:`THE PRIME OF LIFE`) - SET n += $properties - RETURN n - :result:{'entity_type': '"EVENT"', 'description': '"The Prime of Life refers to a phase in Scrooge\'s youth when he was more carefree before becoming hardened by greed."', 'source_id': 'chunk-b2f98bc7abb0c67d4c86055c7fd72218'} -2024-10-30 05:52:56,431 - lightrag - INFO - get_node:query:MATCH (n:`THE MOURNING DRESS`) RETURN n:result: -2024-10-30 05:52:56,565 - lightrag - INFO - _do_upsert:query: - MERGE (n:`THE MOURNING DRESS`) - SET n += $properties - RETURN n - :result:{'entity_type': '"CONCEPT"', 'description': '"The Mourning Dress symbolizes loss and separation, highlighting the emotional distance between Scrooge and his former love."', 'source_id': 'chunk-b2f98bc7abb0c67d4c86055c7fd72218'} -2024-10-30 05:52:56,695 - lightrag - INFO - get_node:query:MATCH (n:`THE BEAUTIFUL YOUNG GIRL`) RETURN n:result: -2024-10-30 05:52:56,836 - lightrag - INFO - _do_upsert:query: - MERGE (n:`THE BEAUTIFUL YOUNG GIRL`) - SET n += $properties - RETURN n - :result:{'entity_type': '"PERSON"', 'description': '"The Beautiful Young Girl is a figure from Scrooge\'s past, representing lost opportunities and innocence."', 'source_id': 'chunk-54bdd22db1f84a965b5f4c06c9216d8d'} -2024-10-30 05:52:56,966 - lightrag - INFO - get_node:query:MATCH (n:`THE COMELY MATRON`) RETURN n:result: -2024-10-30 05:52:57,095 - lightrag - INFO - _do_upsert:query: - MERGE (n:`THE COMELY MATRON`) - SET n += $properties - RETURN n - :result:{'entity_type': '"PERSON"', 'description': '"The Comely Matron is the grown-up version of the Beautiful Young Girl, emphasizing change and the passage of time."', 'source_id': 'chunk-54bdd22db1f84a965b5f4c06c9216d8d'} -2024-10-30 05:52:57,220 - lightrag - INFO - get_node:query:MATCH (n:`CHRISTMAS TOYS AND PRESENTS`) RETURN n:result:"Christmas Toys and Presents are associated with familial love and joy, as they arrive with the father, enhancing the holiday spirit.""Christmas Toys and Presents are associated with joy and celebration, marking the festive occasion and the love shared among family.""Christmas Toys and Presents signify the spirit of giving and the excitement that surrounds the holiday season, especially for children.""Christmas Toys and Presents signify the spirit of giving and the excitement that surrounds the holiday season, especially for children."', 'source_id': 'chunk-da2472b4ef2a535b62908f14d0fb0ca9chunk-54bdd22db1f84a965b5f4c06c9216d8d'}> -2024-10-30 05:52:57,348 - lightrag - INFO - _do_upsert:query: - MERGE (n:`CHRISTMAS TOYS AND PRESENTS`) - SET n += $properties - RETURN n - :result:{'entity_type': '"EVENT"', 'description': '"Christmas Toys and Presents are associated with familial love and joy, as they arrive with the father, enhancing the holiday spirit.""Christmas Toys and Presents are associated with familial love and joy, as they arrive with the father, enhancing the holiday spirit.""Christmas Toys and Presents are associated with familial love and joy, as they arrive with the father, enhancing the holiday spirit.""Christmas Toys and Presents are associated with joy and celebration, marking the festive occasion and the love shared among family.""Christmas Toys and Presents signify the spirit of giving and the excitement that surrounds the holiday season, especially for children.""Christmas Toys and Presents signify the spirit of giving and the excitement that surrounds the holiday season, especially for children.""Christmas Toys and Presents signify the spirit of giving and the excitement that surrounds the holiday season, especially for children."', 'source_id': 'chunk-54bdd22db1f84a965b5f4c06c9216d8dchunk-da2472b4ef2a535b62908f14d0fb0ca9'} -2024-10-30 05:52:57,485 - lightrag - INFO - get_node:query:MATCH (n:`THE ROOM`) RETURN n:result: -2024-10-30 05:52:57,623 - lightrag - INFO - _do_upsert:query: - MERGE (n:`THE ROOM`) - SET n += $properties - RETURN n - :result:{'entity_type': '"GEO"', 'description': '"The Room is described as a cozy, comfortable setting where the comely matron and her children interact during festive times."', 'source_id': 'chunk-54bdd22db1f84a965b5f4c06c9216d8d'} -2024-10-30 05:52:57,750 - lightrag - INFO - get_node:query:MATCH (n:`THE WINTER FIRE`) RETURN n:result: -2024-10-30 05:52:57,884 - lightrag - INFO - _do_upsert:query: - MERGE (n:`THE WINTER FIRE`) - SET n += $properties - RETURN n - :result:{'entity_type': '"EVENT"', 'description': '"The Winter Fire represents warmth and comfort in the room where the matron and children gather, enhancing the festive atmosphere."', 'source_id': 'chunk-54bdd22db1f84a965b5f4c06c9216d8d'} -2024-10-30 05:52:58,014 - lightrag - INFO - get_node:query:MATCH (n:`THE FATHER`) RETURN n:result:"The Father is a character who returns home and is greeted with excitement, embodying family warmth and joy during Christmas celebrations.""The Father is a character who returns home with presents, symbolizing the joy of family and the spirit of giving during Christmas.""The Father is a character who returns home and is greeted with excitement, embodying family warmth and joy during Christmas celebrations.""The Father is a character who returns home with presents, symbolizing the joy of family and the spirit of giving during Christmas."', 'source_id': 'chunk-da2472b4ef2a535b62908f14d0fb0ca9chunk-54bdd22db1f84a965b5f4c06c9216d8d'}> -2024-10-30 05:52:58,147 - lightrag - INFO - _do_upsert:query: - MERGE (n:`THE FATHER`) - SET n += $properties - RETURN n - :result:{'entity_type': '"PERSON"', 'description': '"The Father is a character who arrives home with Christmas presents, symbolizing familial joy and festive spirit.""The Father is a character who returns home and is greeted with excitement, embodying family warmth and joy during Christmas celebrations.""The Father is a character who returns home with presents, symbolizing the joy of family and the spirit of giving during Christmas.""The Father is a character who returns home and is greeted with excitement, embodying family warmth and joy during Christmas celebrations.""The Father is a character who returns home with presents, symbolizing the joy of family and the spirit of giving during Christmas.""The Father is a character who returns home and is greeted with excitement, embodying family warmth and joy during Christmas celebrations.""The Father is a character who returns home with presents, symbolizing the joy of family and the spirit of giving during Christmas."', 'source_id': 'chunk-54bdd22db1f84a965b5f4c06c9216d8dchunk-da2472b4ef2a535b62908f14d0fb0ca9'} -2024-10-30 05:52:58,274 - lightrag - INFO - get_node:query:MATCH (n:`THE YOUNG BRIGANDS`) RETURN n:result: -2024-10-30 05:52:58,403 - lightrag - INFO - _do_upsert:query: - MERGE (n:`THE YOUNG BRIGANDS`) - SET n += $properties - RETURN n - :result:{'entity_type': '"PERSON"', 'description': '"The Young Brigands are a playful group of children engaged in merriment and mischief during the festive celebration."', 'source_id': 'chunk-54bdd22db1f84a965b5f4c06c9216d8d'} -2024-10-30 05:52:58,531 - lightrag - INFO - get_node:query:MATCH (n:`THE DOWERLESS GIRL`) RETURN n:result: -2024-10-30 05:52:58,663 - lightrag - INFO - _do_upsert:query: - MERGE (n:`THE DOWERLESS GIRL`) - SET n += $properties - RETURN n - :result:{'entity_type': '"PERSON"', 'description': '"The Dowerless Girl is a symbolic representation of the limitations in relationships based on social and economic status as reflected in Scrooge\'s dialogue."', 'source_id': 'chunk-54bdd22db1f84a965b5f4c06c9216d8d'} -2024-10-30 05:52:58,791 - lightrag - INFO - get_node:query:MATCH (n:`THE MEMORY`) RETURN n:result: -2024-10-30 05:52:58,923 - lightrag - INFO - _do_upsert:query: - MERGE (n:`THE MEMORY`) - SET n += $properties - RETURN n - :result:{'entity_type': '"CONCEPT"', 'description': '"The Memory refers to the recollections of past relationships and feelings that haunt Scrooge as he contemplates his choices."', 'source_id': 'chunk-54bdd22db1f84a965b5f4c06c9216d8d'} -2024-10-30 05:52:59,055 - lightrag - INFO - get_node:query:MATCH (n:`HAPPINESS`) RETURN n:result: -2024-10-30 05:52:59,188 - lightrag - INFO - _do_upsert:query: - MERGE (n:`HAPPINESS`) - SET n += $properties - RETURN n - :result:{'entity_type': '"CONCEPT"', 'description': '"Happiness signifies the conflicting emotions Scrooge feels regarding past love and the reality of his current life choices."', 'source_id': 'chunk-54bdd22db1f84a965b5f4c06c9216d8d'} -2024-10-30 05:52:59,317 - lightrag - INFO - get_node:query:MATCH (n:`HOPE`) RETURN n:result:"Hope emerges as a central theme in the characters\' lives, particularly through Caroline\'s reaction to news about the husband and the family\'s future.""Hope represents the aspirations and dreams that characters have, particularly in the context of the matron\'s optimistic nature.""Hope represents the aspirations and dreams that characters have, particularly in the context of the matron\'s optimistic nature."', 'source_id': 'chunk-54bdd22db1f84a965b5f4c06c9216d8dchunk-83ac129dc9b56f84c46760d153d68e93'}> -2024-10-30 05:52:59,454 - lightrag - INFO - _do_upsert:query: - MERGE (n:`HOPE`) - SET n += $properties - RETURN n - :result:{'entity_type': '"CONCEPT"', 'description': '"Hope emerges as a central theme in the characters\' lives, particularly through Caroline\'s reaction to news about the husband and the family\'s future.""Hope emerges as a central theme in the characters\' lives, particularly through Caroline\'s reaction to news about the husband and the family\'s future.""Hope emerges as a central theme in the characters\' lives, particularly through Caroline\'s reaction to news about the husband and the family\'s future.""Hope represents the aspirations and dreams that characters have, particularly in the context of the matron\'s optimistic nature.""Hope represents the aspirations and dreams that characters have, particularly in the context of the matron\'s optimistic nature.""Hope represents the aspirations and dreams that characters have, particularly in the context of the matron\'s optimistic nature."', 'source_id': 'chunk-54bdd22db1f84a965b5f4c06c9216d8dchunk-83ac129dc9b56f84c46760d153d68e93'} -2024-10-30 05:52:59,584 - lightrag - INFO - get_node:query:MATCH (n:`BELLE`) RETURN n:result:"Belle is Scrooge\'s former love, evidence of care and affection, now mentioned in the context of Scrooge’s memories.""Belle is Scrooge\'s former love, evidence of care and affection, now mentioned in the context of Scrooge’s memories."', 'source_id': 'chunk-da2472b4ef2a535b62908f14d0fb0ca9'}> -2024-10-30 05:52:59,717 - lightrag - INFO - _do_upsert:query: - MERGE (n:`BELLE`) - SET n += $properties - RETURN n - :result:{'entity_type': '"PERSON"', 'description': '"Belle is Scrooge\'s former love whose presence evokes strong feelings of longing and sorrow in Scrooge.""Belle is Scrooge\'s former love, evidence of care and affection, now mentioned in the context of Scrooge’s memories.""Belle is Scrooge\'s former love, evidence of care and affection, now mentioned in the context of Scrooge’s memories.""Belle is Scrooge\'s former love, evidence of care and affection, now mentioned in the context of Scrooge’s memories."', 'source_id': 'chunk-da2472b4ef2a535b62908f14d0fb0ca9'} -2024-10-30 05:52:59,847 - lightrag - INFO - get_node:query:MATCH (n:`THE OFFICE`) RETURN n:result:"The Office is Scrooge\'s workplace, signifying his past life and the memories associated with his business dealings.""The Office refers to Scrooge\'s workplace, emphasizing his isolation and the business-focused nature of his life.""The Office refers to the workplace where Scrooge and Bob Cratchit interact, highlighting the power dynamics and work-related tension.""The Office refers to Scrooge\'s workplace, emphasizing his isolation and the business-focused nature of his life.""The Office refers to the workplace where Scrooge and Bob Cratchit interact, highlighting the power dynamics and work-related tension."', 'source_id': 'chunk-da2472b4ef2a535b62908f14d0fb0ca9chunk-94bea83e7153fc2064aa382b494936a1chunk-91572b3cd42786ba4cb2f180ca25cbf4'}> -2024-10-30 05:52:59,984 - lightrag - INFO - _do_upsert:query: - MERGE (n:`THE OFFICE`) - SET n += $properties - RETURN n - :result:{'entity_type': '"ORGANIZATION"', 'description': '"The Office is Scrooge\'s workplace, signifying his past life and the memories associated with his business dealings.""The Office is Scrooge\'s workplace, signifying his past life and the memories associated with his business dealings.""The Office is Scrooge\'s workplace, signifying his past life and the memories associated with his business dealings.""The Office refers to Scrooge\'s workplace, emphasizing his isolation and the business-focused nature of his life.""The Office refers to the workplace where Scrooge and Bob Cratchit interact, highlighting the power dynamics and work-related tension.""The Office refers to Scrooge\'s workplace, emphasizing his isolation and the business-focused nature of his life.""The Office refers to the workplace where Scrooge and Bob Cratchit interact, highlighting the power dynamics and work-related tension.""The Office refers to Scrooge\'s workplace, emphasizing his isolation and the business-focused nature of his life.""The Office refers to the workplace where Scrooge and Bob Cratchit interact, highlighting the power dynamics and work-related tension."', 'source_id': 'chunk-94bea83e7153fc2064aa382b494936a1chunk-91572b3cd42786ba4cb2f180ca25cbf4chunk-da2472b4ef2a535b62908f14d0fb0ca9'} -2024-10-30 05:53:00,114 - lightrag - INFO - get_node:query:MATCH (n:`THE PORTER`) RETURN n:result:"The Porter is depicted as a defenseless character being playfully assaulted by the children during their festive excitement.""The Porter is depicted as a defenseless character being playfully assaulted by the children during their festive excitement."', 'source_id': 'chunk-da2472b4ef2a535b62908f14d0fb0ca9'}> -2024-10-30 05:53:00,243 - lightrag - INFO - _do_upsert:query: - MERGE (n:`THE PORTER`) - SET n += $properties - RETURN n - :result:{'entity_type': '"PERSON"', 'description': '"The Porter is a character who becomes the target of playful affection from the children, showcasing innocence and chaos during celebrations.""The Porter is depicted as a defenseless character being playfully assaulted by the children during their festive excitement.""The Porter is depicted as a defenseless character being playfully assaulted by the children during their festive excitement.""The Porter is depicted as a defenseless character being playfully assaulted by the children during their festive excitement."', 'source_id': 'chunk-da2472b4ef2a535b62908f14d0fb0ca9'} -2024-10-30 05:53:00,373 - lightrag - INFO - get_node:query:MATCH (n:`THE BABY`) RETURN n:result: -2024-10-30 05:53:00,507 - lightrag - INFO - _do_upsert:query: - MERGE (n:`THE BABY`) - SET n += $properties - RETURN n - :result:{'entity_type': '"PERSON"', 'description': '"The Baby is involved in a comical mishap concerning a doll\'s frying pan, symbolizing the innocence and curiosity of childhood."', 'source_id': 'chunk-da2472b4ef2a535b62908f14d0fb0ca9'} -2024-10-30 05:53:00,636 - lightrag - INFO - get_node:query:MATCH (n:`THE MOTHER`) RETURN n:result:"The Mother is a character associated with the family dynamics during the Christmas scene, though her actions are not explicitly detailed.""The Mother is depicted as a comely matron, who enjoys the laughter and chaos with her children, showing warmth and family value.""The Mother is a character who exhibits anxiety and hope as she awaits her husband\'s return, embodying the emotional depth of family relations during hardship.""The Mother is a character who shares a tender moment with her husband and daughter, representing familial love and connection.""The Mother is a character who exhibits anxiety and hope as she awaits her husband\'s return, embodying the emotional depth of family relations during hardship.""The Mother is a character who shares a tender moment with her husband and daughter, representing familial love and connection."', 'source_id': 'chunk-da2472b4ef2a535b62908f14d0fb0ca9chunk-54bdd22db1f84a965b5f4c06c9216d8dchunk-83ac129dc9b56f84c46760d153d68e93'}> -2024-10-30 05:53:00,770 - lightrag - INFO - _do_upsert:query: - MERGE (n:`THE MOTHER`) - SET n += $properties - RETURN n - :result:{'entity_type': '"PERSON"', 'description': '"The Mother exemplifies apprehension and hope regarding her husband\'s return, depicting the emotional burden of waiting and uncertainty.""The Mother is a character associated with the family dynamics during the Christmas scene, though her actions are not explicitly detailed.""The Mother is depicted as a comely matron, who enjoys the laughter and chaos with her children, showing warmth and family value.""The Mother is a character who exhibits anxiety and hope as she awaits her husband\'s return, embodying the emotional depth of family relations during hardship.""The Mother is a character who shares a tender moment with her husband and daughter, representing familial love and connection.""The Mother is a character who exhibits anxiety and hope as she awaits her husband\'s return, embodying the emotional depth of family relations during hardship.""The Mother is a character who shares a tender moment with her husband and daughter, representing familial love and connection.""The Mother is a character who exhibits anxiety and hope as she awaits her husband\'s return, embodying the emotional depth of family relations during hardship.""The Mother is a character who shares a tender moment with her husband and daughter, representing familial love and connection."', 'source_id': 'chunk-54bdd22db1f84a965b5f4c06c9216d8dchunk-da2472b4ef2a535b62908f14d0fb0ca9chunk-83ac129dc9b56f84c46760d153d68e93'} -2024-10-30 05:53:00,900 - lightrag - INFO - get_node:query:MATCH (n:`CITY`) RETURN n:result:"The City represents the urban setting where Scrooge witnesses the indifference of its inhabitants regarding his death.""The City represents the urban setting where Scrooge\'s transformation takes place, symbolizing the broader society impacted by his changes.""The City serves as a backdrop where various scenes unfold, representing the hustle of life and economic concerns.""The City symbolizes the urban setting where Scrooge\'s transformation takes place, primarily depicting the contrast between Scrooge\'s isolation and the outer world filled with festivities.""The City serves as a backdrop where various scenes unfold, representing the hustle of life and economic concerns.""The City symbolizes the urban setting where Scrooge\'s transformation takes place, primarily depicting the contrast between Scrooge\'s isolation and the outer world filled with festivities."', 'source_id': 'chunk-843b5b2f944c7413d9ca876e2e2f151fchunk-94bea83e7153fc2064aa382b494936a1chunk-02baee20cc9463dbe08170a8e1043e32'}> -2024-10-30 05:53:01,037 - lightrag - INFO - _do_upsert:query: - MERGE (n:`CITY`) - SET n += $properties - RETURN n - :result:{'entity_type': '"GEO"', 'description': '"The City refers to a generic location embodying the community and societal norms, with which Scrooge has a complex relationship.""The City represents the urban setting where Scrooge witnesses the indifference of its inhabitants regarding his death.""The City represents the urban setting where Scrooge\'s transformation takes place, symbolizing the broader society impacted by his changes.""The City serves as a backdrop where various scenes unfold, representing the hustle of life and economic concerns.""The City symbolizes the urban setting where Scrooge\'s transformation takes place, primarily depicting the contrast between Scrooge\'s isolation and the outer world filled with festivities.""The City serves as a backdrop where various scenes unfold, representing the hustle of life and economic concerns.""The City symbolizes the urban setting where Scrooge\'s transformation takes place, primarily depicting the contrast between Scrooge\'s isolation and the outer world filled with festivities.""The City serves as a backdrop where various scenes unfold, representing the hustle of life and economic concerns.""The City symbolizes the urban setting where Scrooge\'s transformation takes place, primarily depicting the contrast between Scrooge\'s isolation and the outer world filled with festivities."', 'source_id': 'chunk-94bea83e7153fc2064aa382b494936a1chunk-02baee20cc9463dbe08170a8e1043e32chunk-843b5b2f944c7413d9ca876e2e2f151f'} -2024-10-30 05:53:01,168 - lightrag - INFO - get_node:query:MATCH (n:`SPIRIT`) RETURN n:result:"The Spirit embodies the lessons of compassion and social responsibility, guiding Scrooge through his reflections and realizations.""The Spirit is the manifestation of Scrooge\'s past that guides him through his memories, representing his former self and the influence of time.""The Spirit represents a ghostly entity, guiding Scrooge through visions of potential future events and urging him to acknowledge societal issues.""The Spirit represents a supernatural entity guiding Scrooge through his reflections on life, death, and human emotions, prompting self-awareness.""The Spirit represents the embodiment of the Christmas present, personifying the themes of generosity and merriment.""The Spirit refers to the Ghost of Christmas Present, which embodies the essence of the Christmas season and serves as a guide for Scrooge.""The Spirit represents a ghostly figure guiding Scrooge through reflections related to a death, illustrating lessons about life and mortality.""The Spirit represents a supernatural being guiding Scrooge through lessons about the consequences of his actions and the future.""The Spirit represents a supernatural entity guiding Scrooge and teaching him lessons about compassion and humanity.""The Spirit refers to the Ghost of Christmas Present, which embodies the essence of the Christmas season and serves as a guide for Scrooge.""The Spirit represents a ghostly figure guiding Scrooge through reflections related to a death, illustrating lessons about life and mortality.""The Spirit represents a supernatural being guiding Scrooge through lessons about the consequences of his actions and the future.""The Spirit represents a supernatural entity guiding Scrooge and teaching him lessons about compassion and humanity."', 'source_id': 'chunk-843b5b2f944c7413d9ca876e2e2f151fchunk-e7637ff18c5ded77a68cce0a87883fadchunk-83ac129dc9b56f84c46760d153d68e93chunk-1aa50206d02ed89418f65f97c6441d1cchunk-bb21d58d36c6306fd8810ddd51c4a971chunk-02baee20cc9463dbe08170a8e1043e32'}> -2024-10-30 05:53:01,301 - lightrag - INFO - _do_upsert:query: - MERGE (n:`SPIRIT`) - SET n += $properties - RETURN n - :result:{'entity_type': '"EVENT"', 'description': '"Spirit represents the essence of Marley that is attempting to interact with Scrooge, indicating themes of afterlife and unresolved issues.""The Spirit embodies the lessons of compassion and social responsibility, guiding Scrooge through his reflections and realizations.""The Spirit is the manifestation of Scrooge\'s past that guides him through his memories, representing his former self and the influence of time.""The Spirit represents a ghostly entity, guiding Scrooge through visions of potential future events and urging him to acknowledge societal issues.""The Spirit represents a supernatural entity guiding Scrooge through his reflections on life, death, and human emotions, prompting self-awareness.""The Spirit represents the embodiment of the Christmas present, personifying the themes of generosity and merriment.""The Spirit refers to the Ghost of Christmas Present, which embodies the essence of the Christmas season and serves as a guide for Scrooge.""The Spirit represents a ghostly figure guiding Scrooge through reflections related to a death, illustrating lessons about life and mortality.""The Spirit represents a supernatural being guiding Scrooge through lessons about the consequences of his actions and the future.""The Spirit represents a supernatural entity guiding Scrooge and teaching him lessons about compassion and humanity.""The Spirit refers to the Ghost of Christmas Present, which embodies the essence of the Christmas season and serves as a guide for Scrooge.""The Spirit represents a ghostly figure guiding Scrooge through reflections related to a death, illustrating lessons about life and mortality.""The Spirit represents a supernatural being guiding Scrooge through lessons about the consequences of his actions and the future.""The Spirit represents a supernatural entity guiding Scrooge and teaching him lessons about compassion and humanity.""The Spirit refers to the Ghost of Christmas Present, which embodies the essence of the Christmas season and serves as a guide for Scrooge.""The Spirit represents a ghostly figure guiding Scrooge through reflections related to a death, illustrating lessons about life and mortality.""The Spirit represents a supernatural being guiding Scrooge through lessons about the consequences of his actions and the future.""The Spirit represents a supernatural entity guiding Scrooge and teaching him lessons about compassion and humanity."', 'source_id': 'chunk-02baee20cc9463dbe08170a8e1043e32chunk-bb21d58d36c6306fd8810ddd51c4a971chunk-e7637ff18c5ded77a68cce0a87883fadchunk-83ac129dc9b56f84c46760d153d68e93chunk-843b5b2f944c7413d9ca876e2e2f151fchunk-1aa50206d02ed89418f65f97c6441d1c'} -2024-10-30 05:53:01,431 - lightrag - INFO - get_node:query:MATCH (n:`MISTLETOE`) RETURN n:result:"Mistletoe is a plant used as a Christmas decoration, symbolizing love and goodwill during the holiday season.""Mistletoe is a traditional plant used for decoration during Christmas, symbolizing joy and a festive spirit.""Mistletoe is described in the context of Christmas decorations, often used for kissing and holiday celebrations.""Mistletoe is described in the context of Christmas decorations, often used for kissing and holiday celebrations."', 'source_id': 'chunk-843b5b2f944c7413d9ca876e2e2f151fchunk-99b0ec7f7e006561352b5d65e849611d'}> -2024-10-30 05:53:01,566 - lightrag - INFO - _do_upsert:query: - MERGE (n:`MISTLETOE`) - SET n += $properties - RETURN n - :result:{'entity_type': '"ORGANIZATION"', 'description': '"Mistletoe is a plant used as a Christmas decoration, symbolizing love and goodwill during the holiday season.""Mistletoe is a plant used as a Christmas decoration, symbolizing love and goodwill during the holiday season.""Mistletoe is a plant used as a Christmas decoration, symbolizing love and goodwill during the holiday season.""Mistletoe is a traditional plant used for decoration during Christmas, symbolizing joy and a festive spirit.""Mistletoe is described in the context of Christmas decorations, often used for kissing and holiday celebrations.""Mistletoe is described in the context of Christmas decorations, often used for kissing and holiday celebrations.""Mistletoe is described in the context of Christmas decorations, often used for kissing and holiday celebrations."', 'source_id': 'chunk-99b0ec7f7e006561352b5d65e849611dchunk-843b5b2f944c7413d9ca876e2e2f151f'} -2024-10-30 05:53:01,694 - lightrag - INFO - get_node:query:MATCH (n:`RED BERRIES`) RETURN n:result:"Red Berries are decorative elements commonly used during Christmas decorations, adding color and festivity.""Red Berries are festive decorations representing the colors of Christmas, enhancing the holiday atmosphere.""Red Berries are festive decorations representing the colors of Christmas, enhancing the holiday atmosphere."', 'source_id': 'chunk-843b5b2f944c7413d9ca876e2e2f151fchunk-99b0ec7f7e006561352b5d65e849611d'}> -2024-10-30 05:53:01,829 - lightrag - INFO - _do_upsert:query: - MERGE (n:`RED BERRIES`) - SET n += $properties - RETURN n - :result:{'entity_type': '"ORGANIZATION"', 'description': '"Red Berries are decorative elements commonly used during Christmas decorations, adding color and festivity.""Red Berries are decorative elements commonly used during Christmas decorations, adding color and festivity.""Red Berries are decorative elements commonly used during Christmas decorations, adding color and festivity.""Red Berries are festive decorations representing the colors of Christmas, enhancing the holiday atmosphere.""Red Berries are festive decorations representing the colors of Christmas, enhancing the holiday atmosphere.""Red Berries are festive decorations representing the colors of Christmas, enhancing the holiday atmosphere."', 'source_id': 'chunk-99b0ec7f7e006561352b5d65e849611dchunk-843b5b2f944c7413d9ca876e2e2f151f'} -2024-10-30 05:53:01,960 - lightrag - INFO - get_node:query:MATCH (n:`TURKEYS`) RETURN n:result:"Turkeys represent a common food item associated with the Christmas feast, highlighting the culinary aspects of the celebration.""Turkeys are food items prominently featured in Christmas meals, representing a festive celebration of the holiday.""Turkeys are part of the Christmas feast, symbolizing the abundance and sharing associated with the holiday.""Turkeys are food items prominently featured in Christmas meals, representing a festive celebration of the holiday.""Turkeys are part of the Christmas feast, symbolizing the abundance and sharing associated with the holiday."', 'source_id': 'chunk-843b5b2f944c7413d9ca876e2e2f151fchunk-99b0ec7f7e006561352b5d65e849611d'}> -2024-10-30 05:53:02,095 - lightrag - INFO - _do_upsert:query: - MERGE (n:`TURKEYS`) - SET n += $properties - RETURN n - :result:{'entity_type': '"ORGANIZATION"', 'description': '"Turkeys are described as part of a lavish spread that symbolizes the abundance and joy of the Christmas season.""Turkeys represent a common food item associated with the Christmas feast, highlighting the culinary aspects of the celebration.""Turkeys are food items prominently featured in Christmas meals, representing a festive celebration of the holiday.""Turkeys are part of the Christmas feast, symbolizing the abundance and sharing associated with the holiday.""Turkeys are food items prominently featured in Christmas meals, representing a festive celebration of the holiday.""Turkeys are part of the Christmas feast, symbolizing the abundance and sharing associated with the holiday.""Turkeys are food items prominently featured in Christmas meals, representing a festive celebration of the holiday.""Turkeys are part of the Christmas feast, symbolizing the abundance and sharing associated with the holiday."', 'source_id': 'chunk-99b0ec7f7e006561352b5d65e849611dchunk-843b5b2f944c7413d9ca876e2e2f151f'} -2024-10-30 05:53:02,225 - lightrag - INFO - get_node:query:MATCH (n:`POULTRY`) RETURN n:result:"Poultry is another aspect of the Christmas feast, representing the various traditions of holiday meals.""Poultry refers to various birds used for Christmas meals, representing the culinary traditions of the holiday.""Poultry represents a variety of birds that are often prepared for Christmas dinners, enhancing the festive festivities.""Poultry represents a variety of birds that are often prepared for Christmas dinners, enhancing the festive festivities."', 'source_id': 'chunk-843b5b2f944c7413d9ca876e2e2f151fchunk-99b0ec7f7e006561352b5d65e849611d'}> -2024-10-30 05:53:02,358 - lightrag - INFO - _do_upsert:query: - MERGE (n:`POULTRY`) - SET n += $properties - RETURN n - :result:{'entity_type': '"ORGANIZATION"', 'description': '"Poultry is another aspect of the Christmas feast, representing the various traditions of holiday meals.""Poultry is another aspect of the Christmas feast, representing the various traditions of holiday meals.""Poultry is another aspect of the Christmas feast, representing the various traditions of holiday meals.""Poultry refers to various birds used for Christmas meals, representing the culinary traditions of the holiday.""Poultry represents a variety of birds that are often prepared for Christmas dinners, enhancing the festive festivities.""Poultry represents a variety of birds that are often prepared for Christmas dinners, enhancing the festive festivities.""Poultry represents a variety of birds that are often prepared for Christmas dinners, enhancing the festive festivities."', 'source_id': 'chunk-99b0ec7f7e006561352b5d65e849611dchunk-843b5b2f944c7413d9ca876e2e2f151f'} -2024-10-30 05:53:02,487 - lightrag - INFO - get_node:query:MATCH (n:`MEAT`) RETURN n:result:"Meat refers to a significant part of the Christmas feast, further emphasizing the theme of abundance during the holiday.""Meat serves as a general representation of the food consumed during Christmas celebrations, contributing to the holiday meals.""Meat serves as a general representation of the food consumed during Christmas celebrations, contributing to the holiday meals."', 'source_id': 'chunk-843b5b2f944c7413d9ca876e2e2f151fchunk-99b0ec7f7e006561352b5d65e849611d'}> -2024-10-30 05:53:02,620 - lightrag - INFO - _do_upsert:query: - MERGE (n:`MEAT`) - SET n += $properties - RETURN n - :result:{'entity_type': '"ORGANIZATION"', 'description': '"Meat refers to a significant part of the Christmas feast, further emphasizing the theme of abundance during the holiday.""Meat refers to a significant part of the Christmas feast, further emphasizing the theme of abundance during the holiday.""Meat refers to a significant part of the Christmas feast, further emphasizing the theme of abundance during the holiday.""Meat serves as a general representation of the food consumed during Christmas celebrations, contributing to the holiday meals.""Meat serves as a general representation of the food consumed during Christmas celebrations, contributing to the holiday meals.""Meat serves as a general representation of the food consumed during Christmas celebrations, contributing to the holiday meals."', 'source_id': 'chunk-99b0ec7f7e006561352b5d65e849611dchunk-843b5b2f944c7413d9ca876e2e2f151f'} -2024-10-30 05:53:02,752 - lightrag - INFO - get_node:query:MATCH (n:`SAUSAGES`) RETURN n:result:"Sausages are festive foods that complement the traditional Christmas meal, adding to the variety of the feast.""Sausages are food items mentioned that may be served during Christmas festivities, adding to the variety of traditional foods.""Sausages contribute to the rich variety of foods present at the celebration, reflecting festive abundance.""Sausages are food items mentioned that may be served during Christmas festivities, adding to the variety of traditional foods."', 'source_id': 'chunk-843b5b2f944c7413d9ca876e2e2f151fchunk-99b0ec7f7e006561352b5d65e849611d'}> -2024-10-30 05:53:02,887 - lightrag - INFO - _do_upsert:query: - MERGE (n:`SAUSAGES`) - SET n += $properties - RETURN n - :result:{'entity_type': '"ORGANIZATION"', 'description': '"Sausages are festive foods that complement the traditional Christmas meal, adding to the variety of the feast.""Sausages are festive foods that complement the traditional Christmas meal, adding to the variety of the feast.""Sausages are festive foods that complement the traditional Christmas meal, adding to the variety of the feast.""Sausages are food items mentioned that may be served during Christmas festivities, adding to the variety of traditional foods.""Sausages contribute to the rich variety of foods present at the celebration, reflecting festive abundance.""Sausages are food items mentioned that may be served during Christmas festivities, adding to the variety of traditional foods.""Sausages are food items mentioned that may be served during Christmas festivities, adding to the variety of traditional foods."', 'source_id': 'chunk-99b0ec7f7e006561352b5d65e849611dchunk-843b5b2f944c7413d9ca876e2e2f151f'} -2024-10-30 05:53:03,017 - lightrag - INFO - get_node:query:MATCH (n:`OYSTERS`) RETURN n:result:"Oysters are considered delicacies that can enhance special occasions such as Christmas, indicating celebratory dining.""Oysters represent a delicacy often served during Christmas, symbolizing luxury and celebration.""Oysters represent a delicacy often served during Christmas, symbolizing luxury and celebration."', 'source_id': 'chunk-843b5b2f944c7413d9ca876e2e2f151fchunk-99b0ec7f7e006561352b5d65e849611d'}> -2024-10-30 05:53:03,150 - lightrag - INFO - _do_upsert:query: - MERGE (n:`OYSTERS`) - SET n += $properties - RETURN n - :result:{'entity_type': '"ORGANIZATION"', 'description': '"Oysters are considered delicacies that can enhance special occasions such as Christmas, indicating celebratory dining.""Oysters are considered delicacies that can enhance special occasions such as Christmas, indicating celebratory dining.""Oysters are considered delicacies that can enhance special occasions such as Christmas, indicating celebratory dining.""Oysters represent a delicacy often served during Christmas, symbolizing luxury and celebration.""Oysters represent a delicacy often served during Christmas, symbolizing luxury and celebration.""Oysters represent a delicacy often served during Christmas, symbolizing luxury and celebration."', 'source_id': 'chunk-99b0ec7f7e006561352b5d65e849611dchunk-843b5b2f944c7413d9ca876e2e2f151f'} -2024-10-30 05:53:03,277 - lightrag - INFO - get_node:query:MATCH (n:`PIES`) RETURN n:result:"Pies are a traditional dessert during the Christmas season, embodying the spirit of sharing and celebration.""Pies, often sweet, are traditional desserts served during Christmas, symbolizing festive dessert offerings.""Pies, often sweet, are traditional desserts served during Christmas, symbolizing festive dessert offerings."', 'source_id': 'chunk-843b5b2f944c7413d9ca876e2e2f151fchunk-99b0ec7f7e006561352b5d65e849611d'}> -2024-10-30 05:53:03,408 - lightrag - INFO - _do_upsert:query: - MERGE (n:`PIES`) - SET n += $properties - RETURN n - :result:{'entity_type': '"ORGANIZATION"', 'description': '"Pies are a traditional dessert during the Christmas season, embodying the spirit of sharing and celebration.""Pies are a traditional dessert during the Christmas season, embodying the spirit of sharing and celebration.""Pies are a traditional dessert during the Christmas season, embodying the spirit of sharing and celebration.""Pies, often sweet, are traditional desserts served during Christmas, symbolizing festive dessert offerings.""Pies, often sweet, are traditional desserts served during Christmas, symbolizing festive dessert offerings.""Pies, often sweet, are traditional desserts served during Christmas, symbolizing festive dessert offerings."', 'source_id': 'chunk-99b0ec7f7e006561352b5d65e849611dchunk-843b5b2f944c7413d9ca876e2e2f151f'} -2024-10-30 05:53:03,538 - lightrag - INFO - get_node:query:MATCH (n:`PUDDINGS`) RETURN n:result:"Puddings are a classic Christmas dessert, symbolizing warmth and indulgence during the holiday.""Puddings are showcased as a traditional dessert during Christmas celebrations, central to holiday meals.""Puddings are showcased as a traditional dessert during Christmas celebrations, central to holiday meals."', 'source_id': 'chunk-843b5b2f944c7413d9ca876e2e2f151fchunk-99b0ec7f7e006561352b5d65e849611d'}> -2024-10-30 05:53:03,670 - lightrag - INFO - _do_upsert:query: - MERGE (n:`PUDDINGS`) - SET n += $properties - RETURN n - :result:{'entity_type': '"ORGANIZATION"', 'description': '"Puddings are a classic Christmas dessert, symbolizing warmth and indulgence during the holiday.""Puddings are a classic Christmas dessert, symbolizing warmth and indulgence during the holiday.""Puddings are a classic Christmas dessert, symbolizing warmth and indulgence during the holiday.""Puddings are showcased as a traditional dessert during Christmas celebrations, central to holiday meals.""Puddings are showcased as a traditional dessert during Christmas celebrations, central to holiday meals.""Puddings are showcased as a traditional dessert during Christmas celebrations, central to holiday meals."', 'source_id': 'chunk-99b0ec7f7e006561352b5d65e849611dchunk-843b5b2f944c7413d9ca876e2e2f151f'} -2024-10-30 05:53:03,798 - lightrag - INFO - get_node:query:MATCH (n:`FRUIT`) RETURN n:result:"Fruit represents a staple part of the Christmas spread, emphasizing freshness and the joy of sharing.""Fruit represents the fresh produce that accompanies holiday meals, bringing color and variety to the Christmas table.""Fruit represents the fresh produce that accompanies holiday meals, bringing color and variety to the Christmas table."', 'source_id': 'chunk-843b5b2f944c7413d9ca876e2e2f151fchunk-99b0ec7f7e006561352b5d65e849611d'}> -2024-10-30 05:53:03,929 - lightrag - INFO - _do_upsert:query: - MERGE (n:`FRUIT`) - SET n += $properties - RETURN n - :result:{'entity_type': '"ORGANIZATION"', 'description': '"Fruit represents a staple part of the Christmas spread, emphasizing freshness and the joy of sharing.""Fruit represents a staple part of the Christmas spread, emphasizing freshness and the joy of sharing.""Fruit represents a staple part of the Christmas spread, emphasizing freshness and the joy of sharing.""Fruit represents the fresh produce that accompanies holiday meals, bringing color and variety to the Christmas table.""Fruit represents the fresh produce that accompanies holiday meals, bringing color and variety to the Christmas table.""Fruit represents the fresh produce that accompanies holiday meals, bringing color and variety to the Christmas table."', 'source_id': 'chunk-99b0ec7f7e006561352b5d65e849611dchunk-843b5b2f944c7413d9ca876e2e2f151f'} -2024-10-30 05:53:04,057 - lightrag - INFO - get_node:query:MATCH (n:`PUNCH`) RETURN n:result:"Punch is a festive beverage that is often served during Christmas celebrations, adding to the holiday spirit.""Punch refers to a festive drink that is often served at Christmas gatherings, contributing to the celebration.""Punch refers to a festive drink that is often served at Christmas gatherings, contributing to the celebration."', 'source_id': 'chunk-843b5b2f944c7413d9ca876e2e2f151fchunk-99b0ec7f7e006561352b5d65e849611d'}> -2024-10-30 05:53:04,190 - lightrag - INFO - _do_upsert:query: - MERGE (n:`PUNCH`) - SET n += $properties - RETURN n - :result:{'entity_type': '"ORGANIZATION"', 'description': '"Punch is a festive beverage that is often served during Christmas celebrations, adding to the holiday spirit.""Punch is a festive beverage that is often served during Christmas celebrations, adding to the holiday spirit.""Punch is a festive beverage that is often served during Christmas celebrations, adding to the holiday spirit.""Punch refers to a festive drink that is often served at Christmas gatherings, contributing to the celebration.""Punch refers to a festive drink that is often served at Christmas gatherings, contributing to the celebration.""Punch refers to a festive drink that is often served at Christmas gatherings, contributing to the celebration."', 'source_id': 'chunk-99b0ec7f7e006561352b5d65e849611dchunk-843b5b2f944c7413d9ca876e2e2f151f'} -2024-10-30 05:53:04,318 - lightrag - INFO - get_node:query:MATCH (n:`ANTIQUE SCABBARD`) RETURN n:result: -2024-10-30 05:53:04,452 - lightrag - INFO - _do_upsert:query: - MERGE (n:`ANTIQUE SCABBARD`) - SET n += $properties - RETURN n - :result:{'entity_type': '"ORGANIZATION"', 'description': '"The Antique Scabbard is a symbolic object seen on the Ghost, representing the notion of protection and history."', 'source_id': 'chunk-843b5b2f944c7413d9ca876e2e2f151f'} -2024-10-30 05:53:04,581 - lightrag - INFO - get_node:query:MATCH (n:`GREAT BRITAIN`) RETURN n:result:"Great Britain is a location mentioned as having chimneys that appear to be catching fire and is the setting for a gloomy climate during Christmas time.""Great Britain is referenced as a location suffering from severe weather, which contrasts with the cheerful activities of its people during Christmas."', 'source_id': 'chunk-99b0ec7f7e006561352b5d65e849611d'}> -2024-10-30 05:53:04,715 - lightrag - INFO - _do_upsert:query: - MERGE (n:`GREAT BRITAIN`) - SET n += $properties - RETURN n - :result:{'entity_type': '"GEO"', 'description': '"Great Britain is a location mentioned as having chimneys that appear to be catching fire and is the setting for a gloomy climate during Christmas time.""Great Britain is a location mentioned as having chimneys that appear to be catching fire and is the setting for a gloomy climate during Christmas time.""Great Britain is a location mentioned as having chimneys that appear to be catching fire and is the setting for a gloomy climate during Christmas time.""Great Britain is referenced as a location suffering from severe weather, which contrasts with the cheerful activities of its people during Christmas."', 'source_id': 'chunk-99b0ec7f7e006561352b5d65e849611d'} -2024-10-30 05:53:04,844 - lightrag - INFO - get_node:query:MATCH (n:`GROCERS'`) RETURN n:result: -2024-10-30 05:53:04,975 - lightrag - INFO - _do_upsert:query: - MERGE (n:`GROCERS'`) - SET n += $properties - RETURN n - :result:{'entity_type': '"ORGANIZATION"', 'description': '"Grocers\' is an organization described as nearly closed yet bustling with eager customers, showcasing a variety of goods typical for Christmas time."', 'source_id': 'chunk-99b0ec7f7e006561352b5d65e849611d'} -2024-10-30 05:53:05,101 - lightrag - INFO - get_node:query:MATCH (n:`PEOPLE`) RETURN n:result: -2024-10-30 05:53:05,232 - lightrag - INFO - _do_upsert:query: - MERGE (n:`PEOPLE`) - SET n += $properties - RETURN n - :result:{'entity_type': '"ORGANIZATION"', 'description': '"The People represent the community celebrating Christmas, exhibiting joy, humor, and eagerness amidst the dreary weather."', 'source_id': 'chunk-99b0ec7f7e006561352b5d65e849611d'} -2024-10-30 05:53:05,355 - lightrag - INFO - get_node:query:MATCH (n:`GEESE`) RETURN n:result:"Geese are also traditional food items that may be included in Christmas feasts, adding to the holiday cheer.""Geese are another traditional food item during Christmas, contributing to the festive dining experiences.""Geese are included in the festive feast, representing the bounty and celebration associated with Christmas."', 'source_id': 'chunk-843b5b2f944c7413d9ca876e2e2f151fchunk-99b0ec7f7e006561352b5d65e849611d'}> -2024-10-30 05:53:05,488 - lightrag - INFO - _do_upsert:query: - MERGE (n:`GEESE`) - SET n += $properties - RETURN n - :result:{'entity_type': '"ORGANIZATION"', 'description': '"Geese are also traditional food items that may be included in Christmas feasts, adding to the holiday cheer.""Geese are also traditional food items that may be included in Christmas feasts, adding to the holiday cheer.""Geese are also traditional food items that may be included in Christmas feasts, adding to the holiday cheer.""Geese are another traditional food item during Christmas, contributing to the festive dining experiences.""Geese are included in the festive feast, representing the bounty and celebration associated with Christmas."', 'source_id': 'chunk-843b5b2f944c7413d9ca876e2e2f151fchunk-99b0ec7f7e006561352b5d65e849611d'} -2024-10-30 05:53:05,614 - lightrag - INFO - get_node:query:MATCH (n:`BRAWN`) RETURN n:result:"Brawn refers to a traditional meat dish that may be part of Christmas festivities, highlighting culinary practices of the season.""Brawn refers to a traditional meat dish that may be part of Christmas festivities, highlighting culinary practices of the season."', 'source_id': 'chunk-843b5b2f944c7413d9ca876e2e2f151fchunk-99b0ec7f7e006561352b5d65e849611d'}> -2024-10-30 05:53:05,746 - lightrag - INFO - _do_upsert:query: - MERGE (n:`BRAWN`) - SET n += $properties - RETURN n - :result:{'entity_type': '"ORGANIZATION"', 'description': '"Brawn is a type of meat included in the festive gathering, representing the richness of the Christmas feast.""Brawn refers to a traditional meat dish that may be part of Christmas festivities, highlighting culinary practices of the season.""Brawn refers to a traditional meat dish that may be part of Christmas festivities, highlighting culinary practices of the season.""Brawn refers to a traditional meat dish that may be part of Christmas festivities, highlighting culinary practices of the season."', 'source_id': 'chunk-843b5b2f944c7413d9ca876e2e2f151fchunk-99b0ec7f7e006561352b5d65e849611d'} -2024-10-30 05:53:05,881 - lightrag - INFO - get_node:query:MATCH (n:`CITY STREETS`) RETURN n:result: -2024-10-30 05:53:06,016 - lightrag - INFO - _do_upsert:query: - MERGE (n:`CITY STREETS`) - SET n += $properties - RETURN n - :result:{'entity_type': '"GEO"', 'description': '"City Streets are referenced as the setting where people are celebrating and making music, contributing to the festive atmosphere of Christmas morning."', 'source_id': 'chunk-99b0ec7f7e006561352b5d65e849611d'} -2024-10-30 05:53:06,150 - lightrag - INFO - get_node:query:MATCH (n:`SNOW`) RETURN n:result: -2024-10-30 05:53:06,280 - lightrag - INFO - _do_upsert:query: - MERGE (n:`SNOW`) - SET n += $properties - RETURN n - :result:{'entity_type': '"GEO"', 'description': '"Snow is a significant element of the Christmas setting, emphasizing the winter atmosphere and contributing to the imagery of the holiday."', 'source_id': 'chunk-99b0ec7f7e006561352b5d65e849611d'} -2024-10-30 05:53:06,404 - lightrag - INFO - get_node:query:MATCH (n:`PARAPETS`) RETURN n:result: -2024-10-30 05:53:06,537 - lightrag - INFO - _do_upsert:query: - MERGE (n:`PARAPETS`) - SET n += $properties - RETURN n - :result:{'entity_type': '"GEO"', 'description': '"Parapets are structures that people use to engage in playful activities, such as throwing snowballs during Christmas celebrations."', 'source_id': 'chunk-99b0ec7f7e006561352b5d65e849611d'} -2024-10-30 05:53:06,662 - lightrag - INFO - get_node:query:MATCH (n:`SPIRIT OF CHRISTMAS PRESENT`) RETURN n:result: -2024-10-30 05:53:06,804 - lightrag - INFO - _do_upsert:query: - MERGE (n:`SPIRIT OF CHRISTMAS PRESENT`) - SET n += $properties - RETURN n - :result:{'entity_type': '"PERSON"', 'description': '"The Spirit of Christmas Present embodies the spirit of generosity and compassion, showing Scrooge scenes of joy and festivity among the poor."', 'source_id': 'chunk-b0f459f5af1c3a5e0b92cbe4ee48b77b'} -2024-10-30 05:53:06,932 - lightrag - INFO - get_node:query:MATCH (n:`PETER CRATCHIT`) RETURN n:result:"Peter Cratchit is a member of the Cratchit family who participates in expressing their unity and happiness.""Peter Cratchit is Bob\'s son, excited about his clothing and preparing a festive meal, symbolizing youthful innocence and hope.""Peter Cratchit is one of Bob Cratchit\'s children, involved in family dynamics and interactions surrounding Tiny Tim.""Peter Cratchit is one of the Cratchit children, shown to be active and enthusiastic during the Christmas celebration.""Peter Cratchit is the eldest son of Bob and Mrs. Cratchit, who is portrayed as contemplative about his future as he considers a potential job opportunity.""Peter Cratchit is Bob\'s son, excited about his clothing and preparing a festive meal, symbolizing youthful innocence and hope.""Peter Cratchit is one of Bob Cratchit\'s children, involved in family dynamics and interactions surrounding Tiny Tim.""Peter Cratchit is one of the Cratchit children, shown to be active and enthusiastic during the Christmas celebration.""Peter Cratchit is the eldest son of Bob and Mrs. Cratchit, who is portrayed as contemplative about his future as he considers a potential job opportunity."', 'source_id': 'chunk-19d72c57ae3408758b18d2568e86dc6bchunk-7e2e7ebcc19a53b399dc03aded4743e7chunk-b0f459f5af1c3a5e0b92cbe4ee48b77bchunk-91572b3cd42786ba4cb2f180ca25cbf4'}> -2024-10-30 05:53:07,066 - lightrag - INFO - _do_upsert:query: - MERGE (n:`PETER CRATCHIT`) - SET n += $properties - RETURN n - :result:{'entity_type': '"PERSON"', 'description': '"Peter Cratchit is Bob\'s son, excited about dressing up and participating in the festive meal preparation.""Peter Cratchit is a member of the Cratchit family who participates in expressing their unity and happiness.""Peter Cratchit is Bob\'s son, excited about his clothing and preparing a festive meal, symbolizing youthful innocence and hope.""Peter Cratchit is one of Bob Cratchit\'s children, involved in family dynamics and interactions surrounding Tiny Tim.""Peter Cratchit is one of the Cratchit children, shown to be active and enthusiastic during the Christmas celebration.""Peter Cratchit is the eldest son of Bob and Mrs. Cratchit, who is portrayed as contemplative about his future as he considers a potential job opportunity.""Peter Cratchit is Bob\'s son, excited about his clothing and preparing a festive meal, symbolizing youthful innocence and hope.""Peter Cratchit is one of Bob Cratchit\'s children, involved in family dynamics and interactions surrounding Tiny Tim.""Peter Cratchit is one of the Cratchit children, shown to be active and enthusiastic during the Christmas celebration.""Peter Cratchit is the eldest son of Bob and Mrs. Cratchit, who is portrayed as contemplative about his future as he considers a potential job opportunity.""Peter Cratchit is Bob\'s son, excited about his clothing and preparing a festive meal, symbolizing youthful innocence and hope.""Peter Cratchit is one of Bob Cratchit\'s children, involved in family dynamics and interactions surrounding Tiny Tim.""Peter Cratchit is one of the Cratchit children, shown to be active and enthusiastic during the Christmas celebration.""Peter Cratchit is the eldest son of Bob and Mrs. Cratchit, who is portrayed as contemplative about his future as he considers a potential job opportunity."', 'source_id': 'chunk-91572b3cd42786ba4cb2f180ca25cbf4chunk-b0f459f5af1c3a5e0b92cbe4ee48b77bchunk-7e2e7ebcc19a53b399dc03aded4743e7chunk-19d72c57ae3408758b18d2568e86dc6b'} -2024-10-30 05:53:07,194 - lightrag - INFO - get_node:query:MATCH (n:`THE CRATCHIT HOUSEHOLD`) RETURN n:result: -2024-10-30 05:53:07,327 - lightrag - INFO - _do_upsert:query: - MERGE (n:`THE CRATCHIT HOUSEHOLD`) - SET n += $properties - RETURN n - :result:{'entity_type': '"ORGANIZATION"', 'description': '"The Cratchit Household represents a loving family unit, managing to find joy despite their financial struggles."', 'source_id': 'chunk-b0f459f5af1c3a5e0b92cbe4ee48b77b'} -2024-10-30 05:53:07,454 - lightrag - INFO - get_node:query:MATCH (n:`CHRISTMAS DAY`) RETURN n:result:"Christmas Day is a significant holiday that marks the time of Scrooge\'s revelation and intent to change.""Christmas Day is celebrated by the Cratchit family with a communal meal and expressions of joy and togetherness, highlighting the importance of family and gratitude.""Christmas Day serves as the central event around which the family gathers and reflects on their feelings towards Scrooge.""Christmas Day is portrayed as a day of celebration and gathering, emphasizing themes of togetherness and generosity.""Christmas Day serves as a central event for the gathering of the Cratchit family, filled with mixed feelings about their employer, Scrooge.""Christmas Day serves as the backdrop for Scrooge\'s transformation, representing joy, celebration, and new beginnings.""Christmas Day is portrayed as a day of celebration and gathering, emphasizing themes of togetherness and generosity.""Christmas Day serves as a central event for the gathering of the Cratchit family, filled with mixed feelings about their employer, Scrooge.""Christmas Day serves as the backdrop for Scrooge\'s transformation, representing joy, celebration, and new beginnings."', 'source_id': 'chunk-19d72c57ae3408758b18d2568e86dc6bchunk-90b95db5c53e4364a6bee36b7aa4d70fchunk-7e2e7ebcc19a53b399dc03aded4743e7chunk-b0f459f5af1c3a5e0b92cbe4ee48b77b'}> -2024-10-30 05:53:07,587 - lightrag - INFO - _do_upsert:query: - MERGE (n:`CHRISTMAS DAY`) - SET n += $properties - RETURN n - :result:{'entity_type': '"EVENT"', 'description': '"Christmas Day is a holiday during which the characters express joy and the significance of communal dining.""Christmas Day is a significant holiday that marks the time of Scrooge\'s revelation and intent to change.""Christmas Day is celebrated by the Cratchit family with a communal meal and expressions of joy and togetherness, highlighting the importance of family and gratitude.""Christmas Day serves as the central event around which the family gathers and reflects on their feelings towards Scrooge.""Christmas Day is portrayed as a day of celebration and gathering, emphasizing themes of togetherness and generosity.""Christmas Day serves as a central event for the gathering of the Cratchit family, filled with mixed feelings about their employer, Scrooge.""Christmas Day serves as the backdrop for Scrooge\'s transformation, representing joy, celebration, and new beginnings.""Christmas Day is portrayed as a day of celebration and gathering, emphasizing themes of togetherness and generosity.""Christmas Day serves as a central event for the gathering of the Cratchit family, filled with mixed feelings about their employer, Scrooge.""Christmas Day serves as the backdrop for Scrooge\'s transformation, representing joy, celebration, and new beginnings.""Christmas Day is portrayed as a day of celebration and gathering, emphasizing themes of togetherness and generosity.""Christmas Day serves as a central event for the gathering of the Cratchit family, filled with mixed feelings about their employer, Scrooge.""Christmas Day serves as the backdrop for Scrooge\'s transformation, representing joy, celebration, and new beginnings."', 'source_id': 'chunk-90b95db5c53e4364a6bee36b7aa4d70fchunk-7e2e7ebcc19a53b399dc03aded4743e7chunk-b0f459f5af1c3a5e0b92cbe4ee48b77bchunk-19d72c57ae3408758b18d2568e86dc6b'} -2024-10-30 05:53:07,715 - lightrag - INFO - get_node:query:MATCH (n:`THE GROCER`) RETURN n:result: -2024-10-30 05:53:07,857 - lightrag - INFO - _do_upsert:query: - MERGE (n:`THE GROCER`) - SET n += $properties - RETURN n - :result:{'entity_type': '"PERSON"', 'description': '"The Grocer is depicted as a welcoming figure who interacts with customers in a friendly manner, symbolizing community spirit."', 'source_id': 'chunk-b0f459f5af1c3a5e0b92cbe4ee48b77b'} -2024-10-30 05:53:07,981 - lightrag - INFO - get_node:query:MATCH (n:`THE PEOPLE`) RETURN n:result:"The People refer to the townsfolk whom Scrooge encounters, showcasing the communal spirit of Christmas.""The People refers to the inhabitants of the quarter, characterized by their desperate living conditions and societal challenges.""The People represent the townsfolk who come together in celebration during the Christmas season, highlighting communal joy and participation.""The People represent the various individuals Scrooge encounters during his joyful walk, symbolizing community and shared happiness.""The People refers to the inhabitants of the quarter, characterized by their desperate living conditions and societal challenges.""The People represent the townsfolk who come together in celebration during the Christmas season, highlighting communal joy and participation."', 'source_id': 'chunk-8f738cb25d60a7dab782162d9d0a25edchunk-f1a4fbcf1ed86864b9bfd5e8dba4c683chunk-b0f459f5af1c3a5e0b92cbe4ee48b77b'}> -2024-10-30 05:53:08,116 - lightrag - INFO - _do_upsert:query: - MERGE (n:`THE PEOPLE`) - SET n += $properties - RETURN n - :result:{'entity_type': '"ORGANIZATION"', 'description': '"The People refer to the townsfolk whom Scrooge encounters, showcasing the communal spirit of Christmas.""The People refer to the townsfolk whom Scrooge encounters, showcasing the communal spirit of Christmas.""The People refer to the townsfolk whom Scrooge encounters, showcasing the communal spirit of Christmas.""The People refers to the inhabitants of the quarter, characterized by their desperate living conditions and societal challenges.""The People represent the townsfolk who come together in celebration during the Christmas season, highlighting communal joy and participation.""The People represent the various individuals Scrooge encounters during his joyful walk, symbolizing community and shared happiness.""The People refers to the inhabitants of the quarter, characterized by their desperate living conditions and societal challenges.""The People represent the townsfolk who come together in celebration during the Christmas season, highlighting communal joy and participation.""The People refers to the inhabitants of the quarter, characterized by their desperate living conditions and societal challenges.""The People represent the townsfolk who come together in celebration during the Christmas season, highlighting communal joy and participation."', 'source_id': 'chunk-f1a4fbcf1ed86864b9bfd5e8dba4c683chunk-8f738cb25d60a7dab782162d9d0a25edchunk-b0f459f5af1c3a5e0b92cbe4ee48b77b'} -2024-10-30 05:53:08,261 - lightrag - INFO - get_node:query:MATCH (n:`THE SPIRIT'S TORCH`) RETURN n:result:"The Spirit\'s Torch is a unique tool used by the Spirit of Christmas Present to sprinkle blessings and create goodwill among people.""The Spirit\'s Torch symbolizes the joy and magic of the Christmas spirit, illuminating the family\'s happiness despite their hardships.""The Spirit\'s Torch symbolizes the joy and magic of the Christmas spirit, illuminating the family\'s happiness despite their hardships."', 'source_id': 'chunk-19d72c57ae3408758b18d2568e86dc6bchunk-b0f459f5af1c3a5e0b92cbe4ee48b77b'}> -2024-10-30 05:53:08,395 - lightrag - INFO - _do_upsert:query: - MERGE (n:`THE SPIRIT'S TORCH`) - SET n += $properties - RETURN n - :result:{'entity_type': '"TECHNOLOGY"', 'description': '"The Spirit\'s Torch is a unique tool used by the Spirit of Christmas Present to sprinkle blessings and create goodwill among people.""The Spirit\'s Torch is a unique tool used by the Spirit of Christmas Present to sprinkle blessings and create goodwill among people.""The Spirit\'s Torch is a unique tool used by the Spirit of Christmas Present to sprinkle blessings and create goodwill among people.""The Spirit\'s Torch symbolizes the joy and magic of the Christmas spirit, illuminating the family\'s happiness despite their hardships.""The Spirit\'s Torch symbolizes the joy and magic of the Christmas spirit, illuminating the family\'s happiness despite their hardships.""The Spirit\'s Torch symbolizes the joy and magic of the Christmas spirit, illuminating the family\'s happiness despite their hardships."', 'source_id': 'chunk-b0f459f5af1c3a5e0b92cbe4ee48b77bchunk-19d72c57ae3408758b18d2568e86dc6b'} -2024-10-30 05:53:08,543 - lightrag - INFO - get_node:query:MATCH (n:`THE BAKER'S SHOP`) RETURN n:result: -2024-10-30 05:53:08,685 - lightrag - INFO - _do_upsert:query: - MERGE (n:`THE BAKER'S SHOP`) - SET n += $properties - RETURN n - :result:{'entity_type': '"ORGANIZATION"', 'description': '"The Baker\'s Shop is a significant location where townspeople gather to procure their meals, indicating a hub of community activity."', 'source_id': 'chunk-b0f459f5af1c3a5e0b92cbe4ee48b77b'} -2024-10-30 05:53:08,814 - lightrag - INFO - get_node:query:MATCH (n:`DINNERS`) RETURN n:result:"Dinners refer to the meals shared by families on Christmas Day, representing the joy and nourishment that bring people together.""Dinners represent the communal and familial gatherings that occur during Christmas, emphasized in the text as significant for enjoyment and sharing."', 'source_id': 'chunk-b0f459f5af1c3a5e0b92cbe4ee48b77b'}> -2024-10-30 05:53:08,946 - lightrag - INFO - _do_upsert:query: - MERGE (n:`DINNERS`) - SET n += $properties - RETURN n - :result:{'entity_type': '"EVENT"', 'description': '"Dinners refer to the meals shared by families on Christmas Day, representing the joy and nourishment that bring people together.""Dinners refer to the meals shared by families on Christmas Day, representing the joy and nourishment that bring people together.""Dinners refer to the meals shared by families on Christmas Day, representing the joy and nourishment that bring people together.""Dinners represent the communal and familial gatherings that occur during Christmas, emphasized in the text as significant for enjoyment and sharing."', 'source_id': 'chunk-b0f459f5af1c3a5e0b92cbe4ee48b77b'} -2024-10-30 05:53:09,081 - lightrag - INFO - get_node:query:MATCH (n:`THE STREETS`) RETURN n:result: -2024-10-30 05:53:09,213 - lightrag - INFO - _do_upsert:query: - MERGE (n:`THE STREETS`) - SET n += $properties - RETURN n - :result:{'entity_type': '"GEO"', 'description': '"The Streets are the setting for the gatherings and interactions of townspeople during Christmas, showcasing the festive atmosphere."', 'source_id': 'chunk-b0f459f5af1c3a5e0b92cbe4ee48b77b'} -2024-10-30 05:53:09,337 - lightrag - INFO - get_node:query:MATCH (n:`THE SUBURBS`) RETURN n:result: -2024-10-30 05:53:09,472 - lightrag - INFO - _do_upsert:query: - MERGE (n:`THE SUBURBS`) - SET n += $properties - RETURN n - :result:{'entity_type': '"GEO"', 'description': '"The Suburbs are depicted as the area where the Spirit takes Scrooge to observe the lives of the less fortunate, emphasizing social issues."', 'source_id': 'chunk-b0f459f5af1c3a5e0b92cbe4ee48b77b'} -2024-10-30 05:53:09,597 - lightrag - INFO - get_node:query:MATCH (n:`THE NIGHT`) RETURN n:result: -2024-10-30 05:53:09,731 - lightrag - INFO - _do_upsert:query: - MERGE (n:`THE NIGHT`) - SET n += $properties - RETURN n - :result:{'entity_type': '"EVENT"', 'description': '"The Night, particularly Christmas Eve, is framed as a time for reflection and celebration as families prepare for the festivities."', 'source_id': 'chunk-b0f459f5af1c3a5e0b92cbe4ee48b77b'} -2024-10-30 05:53:09,860 - lightrag - INFO - get_node:query:MATCH (n:`CRATCHIT FAMILY`) RETURN n:result:"The Cratchit Family consists of Bob, Mrs. Cratchit, and their children, embodying themes of family unity and contentment despite hardships.""The Cratchit Family is a close-knit family characterized by love and togetherness, celebrating Christmas with simple but joyful traditions.""The Cratchit Family is portrayed as a close-knit group who, despite their hardships, find joy and gratitude during the Christmas gathering.""The Cratchit Family is portrayed as a loving unit celebrating Christmas together, with various members actively participating in the festivities.""The Cratchit family represents a unit bound by love and resilience in the face of adversity, dealing with emotional and financial struggles.""The Cratchit Family is depicted as a warm and loving household celebrating Christmas together, with various members actively participating in the festivities.""The Cratchit Family is depicted as a warm and loving household celebrating Christmas together, with various members actively participating in the festivities."', 'source_id': 'chunk-503f0bfa5453467c7c61d160a3540ecachunk-19d72c57ae3408758b18d2568e86dc6bchunk-7e2e7ebcc19a53b399dc03aded4743e7chunk-83ac129dc9b56f84c46760d153d68e93'}> -2024-10-30 05:53:10,000 - lightrag - INFO - _do_upsert:query: - MERGE (n:`CRATCHIT FAMILY`) - SET n += $properties - RETURN n - :result:{'entity_type': '"ORGANIZATION"', 'description': '"The Cratchit Family consists of Bob, Mrs. Cratchit, and their children, embodying themes of family unity and contentment despite hardships.""The Cratchit Family consists of Bob, Mrs. Cratchit, and their children, embodying themes of family unity and contentment despite hardships.""The Cratchit Family consists of Bob, Mrs. Cratchit, and their children, embodying themes of family unity and contentment despite hardships.""The Cratchit Family is a close-knit family characterized by love and togetherness, celebrating Christmas with simple but joyful traditions.""The Cratchit Family is portrayed as a close-knit group who, despite their hardships, find joy and gratitude during the Christmas gathering.""The Cratchit Family is portrayed as a loving unit celebrating Christmas together, with various members actively participating in the festivities.""The Cratchit family represents a unit bound by love and resilience in the face of adversity, dealing with emotional and financial struggles.""The Cratchit Family is depicted as a warm and loving household celebrating Christmas together, with various members actively participating in the festivities.""The Cratchit Family is depicted as a warm and loving household celebrating Christmas together, with various members actively participating in the festivities.""The Cratchit Family is depicted as a warm and loving household celebrating Christmas together, with various members actively participating in the festivities."', 'source_id': 'chunk-503f0bfa5453467c7c61d160a3540ecachunk-7e2e7ebcc19a53b399dc03aded4743e7chunk-19d72c57ae3408758b18d2568e86dc6bchunk-83ac129dc9b56f84c46760d153d68e93'} -2024-10-30 05:53:10,134 - lightrag - INFO - get_node:query:MATCH (n:`MARTHA`) RETURN n:result:"Martha is the daughter in the Cratchit family, who makes a dramatic entrance to surprise her family, highlighting the family\'s closeness.""Martha is the daughter in the Cratchit family, who makes a dramatic entrance to surprise her family, highlighting the family\'s closeness."', 'source_id': 'chunk-19d72c57ae3408758b18d2568e86dc6bchunk-7e2e7ebcc19a53b399dc03aded4743e7'}> -2024-10-30 05:53:10,275 - lightrag - INFO - _do_upsert:query: - MERGE (n:`MARTHA`) - SET n += $properties - RETURN n - :result:{'entity_type': '"PERSON"', 'description': '"Martha is a poor apprentice at a milliner\'s and shares her experience with the family during their Christmas gathering, contributing to the family atmosphere.""Martha is the daughter in the Cratchit family, who makes a dramatic entrance to surprise her family, highlighting the family\'s closeness.""Martha is the daughter in the Cratchit family, who makes a dramatic entrance to surprise her family, highlighting the family\'s closeness.""Martha is the daughter in the Cratchit family, who makes a dramatic entrance to surprise her family, highlighting the family\'s closeness."', 'source_id': 'chunk-7e2e7ebcc19a53b399dc03aded4743e7chunk-19d72c57ae3408758b18d2568e86dc6b'} -2024-10-30 05:53:10,405 - lightrag - INFO - get_node:query:MATCH (n:`CRATCHIT CHRISTMAS DINNER`) RETURN n:result: -2024-10-30 05:53:10,538 - lightrag - INFO - _do_upsert:query: - MERGE (n:`CRATCHIT CHRISTMAS DINNER`) - SET n += $properties - RETURN n - :result:{'entity_type': '"EVENT"', 'description': '"Cratchit Christmas Dinner is a festive occasion filled with joy, love, and togetherness as the family celebrates the holiday."', 'source_id': 'chunk-7e2e7ebcc19a53b399dc03aded4743e7'} -2024-10-30 05:53:10,666 - lightrag - INFO - get_node:query:MATCH (n:`THE GOOSE`) RETURN n:result:"The Goose is a central dish enjoyed by the Cratchit family during their Christmas dinner, symbolizing abundance and celebration.""The Goose is a central element of the Cratchit Christmas dinner, representing abundance and the joy of the holiday as the family eagerly anticipates its serving.""The Goose is a central part of the Cratchit family Christmas dinner, which they celebrate with excitement and anticipation, symbolizing abundance and joy.""The Goose is a central element of the Cratchit Christmas dinner, representing abundance and the joy of the holiday as the family eagerly anticipates its serving."', 'source_id': 'chunk-503f0bfa5453467c7c61d160a3540ecachunk-7e2e7ebcc19a53b399dc03aded4743e7'}> -2024-10-30 05:53:10,797 - lightrag - INFO - _do_upsert:query: - MERGE (n:`THE GOOSE`) - SET n += $properties - RETURN n - :result:{'entity_type': '"EVENT"', 'description': '"The Goose is a central dish enjoyed by the Cratchit family during their Christmas dinner, symbolizing abundance and celebration.""The Goose is a central dish enjoyed by the Cratchit family during their Christmas dinner, symbolizing abundance and celebration.""The Goose is a central dish enjoyed by the Cratchit family during their Christmas dinner, symbolizing abundance and celebration.""The Goose is a central element of the Cratchit Christmas dinner, representing abundance and the joy of the holiday as the family eagerly anticipates its serving.""The Goose is a central part of the Cratchit family Christmas dinner, which they celebrate with excitement and anticipation, symbolizing abundance and joy.""The Goose is a central element of the Cratchit Christmas dinner, representing abundance and the joy of the holiday as the family eagerly anticipates its serving.""The Goose is a central element of the Cratchit Christmas dinner, representing abundance and the joy of the holiday as the family eagerly anticipates its serving."', 'source_id': 'chunk-503f0bfa5453467c7c61d160a3540ecachunk-7e2e7ebcc19a53b399dc03aded4743e7'} -2024-10-30 05:53:10,929 - lightrag - INFO - get_node:query:MATCH (n:`THE YOUNG CRATCHITS`) RETURN n:result: -2024-10-30 05:53:11,065 - lightrag - INFO - _do_upsert:query: - MERGE (n:`THE YOUNG CRATCHITS`) - SET n += $properties - RETURN n - :result:{'entity_type': '"ORGANIZATION"', 'description': '"The Young Cratchits are the children in the Cratchit family who contribute to the lively atmosphere, expressing excitement and involvement in the Christmas celebrations."', 'source_id': 'chunk-7e2e7ebcc19a53b399dc03aded4743e7'} -2024-10-30 05:53:11,195 - lightrag - INFO - get_node:query:MATCH (n:`THE PUDDING`) RETURN n:result:"The Pudding is a special dessert made by Mrs. Cratchit, described as hard and firm, and is a source of pride and excitement for the family.""The Pudding is a traditional dish prepared for Christmas, symbolizing festivity and the warmth of family gatherings.""The Pudding is a traditional dish served at the Cratchit Christmas dinner, symbolizing festive joy and family gatherings.""The Pudding is a traditional dish served at the Cratchit Christmas dinner, symbolizing festive joy and family gatherings."', 'source_id': 'chunk-503f0bfa5453467c7c61d160a3540ecachunk-7e2e7ebcc19a53b399dc03aded4743e7chunk-90d5764e301321c087f5a8f78b73a145'}> -2024-10-30 05:53:11,329 - lightrag - INFO - _do_upsert:query: - MERGE (n:`THE PUDDING`) - SET n += $properties - RETURN n - :result:{'entity_type': '"EVENT"', 'description': '"The Pudding is a special dessert made by Mrs. Cratchit, described as hard and firm, and is a source of pride and excitement for the family.""The Pudding is a special dessert made by Mrs. Cratchit, described as hard and firm, and is a source of pride and excitement for the family.""The Pudding is a special dessert made by Mrs. Cratchit, described as hard and firm, and is a source of pride and excitement for the family.""The Pudding is a traditional dish prepared for Christmas, symbolizing festivity and the warmth of family gatherings.""The Pudding is a traditional dish served at the Cratchit Christmas dinner, symbolizing festive joy and family gatherings.""The Pudding is a traditional dish served at the Cratchit Christmas dinner, symbolizing festive joy and family gatherings.""The Pudding is a traditional dish served at the Cratchit Christmas dinner, symbolizing festive joy and family gatherings."', 'source_id': 'chunk-503f0bfa5453467c7c61d160a3540ecachunk-7e2e7ebcc19a53b399dc03aded4743e7chunk-90d5764e301321c087f5a8f78b73a145'} -2024-10-30 05:53:11,458 - lightrag - INFO - get_node:query:MATCH (n:`THE FIRE`) RETURN n:result:"The Fire represents warmth and comfort in the Cratchit household, inviting family members to gather around during their Christmas celebration.""The Fire represents warmth and comfort in the Cratchit household, inviting family members to gather around during their Christmas celebration."', 'source_id': 'chunk-7e2e7ebcc19a53b399dc03aded4743e7chunk-773d0df1dd25c356f7b771d780583e09'}> -2024-10-30 05:53:11,595 - lightrag - INFO - _do_upsert:query: - MERGE (n:`THE FIRE`) - SET n += $properties - RETURN n - :result:{'entity_type': '"EVENT"', 'description': '"The Fire represents warmth and comfort during the family gathering, enhancing the atmosphere of camaraderie.""The Fire represents warmth and comfort in the Cratchit household, inviting family members to gather around during their Christmas celebration.""The Fire represents warmth and comfort in the Cratchit household, inviting family members to gather around during their Christmas celebration.""The Fire represents warmth and comfort in the Cratchit household, inviting family members to gather around during their Christmas celebration."', 'source_id': 'chunk-7e2e7ebcc19a53b399dc03aded4743e7chunk-773d0df1dd25c356f7b771d780583e09'} -2024-10-30 05:53:11,721 - lightrag - INFO - get_node:query:MATCH (n:`THE DINNER`) RETURN n:result:"The Dinner is a festive event where the Cratchit family gathers to enjoy a meal, including a special goose and pudding, symbolizing their togetherness.""The Dinner is a social event characterized by laughter, music, and discussions about Scrooge, portraying a festive Christmas gathering."', 'source_id': 'chunk-503f0bfa5453467c7c61d160a3540ecachunk-773d0df1dd25c356f7b771d780583e09'}> -2024-10-30 05:53:11,855 - lightrag - INFO - _do_upsert:query: - MERGE (n:`THE DINNER`) - SET n += $properties - RETURN n - :result:{'entity_type': '"EVENT"', 'description': '"The Dinner is a festive event where the Cratchit family gathers to enjoy a meal, including a special goose and pudding, symbolizing their togetherness.""The Dinner is a festive event where the Cratchit family gathers to enjoy a meal, including a special goose and pudding, symbolizing their togetherness.""The Dinner is a festive event where the Cratchit family gathers to enjoy a meal, including a special goose and pudding, symbolizing their togetherness.""The Dinner is a social event characterized by laughter, music, and discussions about Scrooge, portraying a festive Christmas gathering."', 'source_id': 'chunk-503f0bfa5453467c7c61d160a3540ecachunk-773d0df1dd25c356f7b771d780583e09'} -2024-10-30 05:53:11,988 - lightrag - INFO - get_node:query:MATCH (n:`MISS BELINDA`) RETURN n:result: -2024-10-30 05:53:12,122 - lightrag - INFO - _do_upsert:query: - MERGE (n:`MISS BELINDA`) - SET n += $properties - RETURN n - :result:{'entity_type': '"PERSON"', 'description': '"Miss Belinda is a member of the Cratchit family who assists in the dinner preparations, specifically changing the plates."', 'source_id': 'chunk-503f0bfa5453467c7c61d160a3540eca'} -2024-10-30 05:53:12,247 - lightrag - INFO - get_node:query:MATCH (n:`THE FOUNDER OF THE FEAST`) RETURN n:result: -2024-10-30 05:53:12,382 - lightrag - INFO - _do_upsert:query: - MERGE (n:`THE FOUNDER OF THE FEAST`) - SET n += $properties - RETURN n - :result:{'entity_type': '"TITLE"', 'description': '"The Founder of the Feast refers to Scrooge, whom Bob Cratchit acknowledges during the Christmas dinner, signifying gratitude toward Scrooge\'s provision for the meal."', 'source_id': 'chunk-503f0bfa5453467c7c61d160a3540eca'} -2024-10-30 05:53:12,507 - lightrag - INFO - get_node:query:MATCH (n:`THE COUNTESS`) RETURN n:result:"The Countess is mentioned by Martha, indicating an encounter that highlights the social stratification and aspirations of the Cratchit family.""The Countess is referenced by Martha, showcasing her interaction with figures of higher social status, contrasting with the Cratchit family\'s situation."', 'source_id': 'chunk-19d72c57ae3408758b18d2568e86dc6b'}> -2024-10-30 05:53:12,644 - lightrag - INFO - _do_upsert:query: - MERGE (n:`THE COUNTESS`) - SET n += $properties - RETURN n - :result:{'entity_type': '"PERSON"', 'description': '"The Countess is mentioned by Martha, indicating an encounter that highlights the social stratification and aspirations of the Cratchit family.""The Countess is mentioned by Martha, indicating an encounter that highlights the social stratification and aspirations of the Cratchit family.""The Countess is mentioned by Martha, indicating an encounter that highlights the social stratification and aspirations of the Cratchit family.""The Countess is referenced by Martha, showcasing her interaction with figures of higher social status, contrasting with the Cratchit family\'s situation."', 'source_id': 'chunk-19d72c57ae3408758b18d2568e86dc6b'} -2024-10-30 05:53:12,773 - lightrag - INFO - get_node:query:MATCH (n:`THE LORD`) RETURN n:result:"The Lord is referenced in Martha\'s account of her work, underscoring the contrast between the Cratchit family\'s modest means and the nobility.""The Lord is referenced in Martha\'s account of her work, underscoring the contrast between the Cratchit family\'s modest means and the nobility."', 'source_id': 'chunk-19d72c57ae3408758b18d2568e86dc6b'}> -2024-10-30 05:53:12,907 - lightrag - INFO - _do_upsert:query: - MERGE (n:`THE LORD`) - SET n += $properties - RETURN n - :result:{'entity_type': '"PERSON"', 'description': '"The Lord is mentioned by Martha as someone she encountered, illustrating her experiences outside her family\'s struggles.""The Lord is referenced in Martha\'s account of her work, underscoring the contrast between the Cratchit family\'s modest means and the nobility.""The Lord is referenced in Martha\'s account of her work, underscoring the contrast between the Cratchit family\'s modest means and the nobility.""The Lord is referenced in Martha\'s account of her work, underscoring the contrast between the Cratchit family\'s modest means and the nobility."', 'source_id': 'chunk-19d72c57ae3408758b18d2568e86dc6b'} -2024-10-30 05:53:13,037 - lightrag - INFO - get_node:query:MATCH (n:`THE GATHERING`) RETURN n:result: -2024-10-30 05:53:13,170 - lightrag - INFO - _do_upsert:query: - MERGE (n:`THE GATHERING`) - SET n += $properties - RETURN n - :result:{'entity_type': '"EVENT"', 'description': '"The Gathering refers to the collective event of the family coming together to celebrate Christmas, filled with warmth and camaraderie despite their struggles."', 'source_id': 'chunk-19d72c57ae3408758b18d2568e86dc6b'} -2024-10-30 05:53:13,298 - lightrag - INFO - get_node:query:MATCH (n:`THE LIGHTHOUSE`) RETURN n:result:"The Lighthouse serves as a solitary structure representing hope and guidance amid a stormy sea, populated by individuals celebrating Christmas.""The Lighthouse serves as a solitary structure representing hope and guidance amid a stormy sea, populated by individuals celebrating Christmas."', 'source_id': 'chunk-91614df5cb74cbe5e109a338a82041e9'}> -2024-10-30 05:53:13,433 - lightrag - INFO - _do_upsert:query: - MERGE (n:`THE LIGHTHOUSE`) - SET n += $properties - RETURN n - :result:{'entity_type': '"GEO"', 'description': '"The Lighthouse is a solitary structure standing on a reef, symbolizing hope and guidance amidst the tumultuous sea.""The Lighthouse serves as a solitary structure representing hope and guidance amid a stormy sea, populated by individuals celebrating Christmas.""The Lighthouse serves as a solitary structure representing hope and guidance amid a stormy sea, populated by individuals celebrating Christmas.""The Lighthouse serves as a solitary structure representing hope and guidance amid a stormy sea, populated by individuals celebrating Christmas."', 'source_id': 'chunk-91614df5cb74cbe5e109a338a82041e9'} -2024-10-30 05:53:13,560 - lightrag - INFO - get_node:query:MATCH (n:`THE SHIP`) RETURN n:result:"The Ship is a vessel where the crew shares moments of kindness and reflection during Christmas, symbolizing unity and camaraderie.""The Ship is described as a vessel on the open sea, where the crew reflects on Christmas, showcasing camaraderie and a sense of belonging."', 'source_id': 'chunk-91614df5cb74cbe5e109a338a82041e9'}> -2024-10-30 05:53:13,692 - lightrag - INFO - _do_upsert:query: - MERGE (n:`THE SHIP`) - SET n += $properties - RETURN n - :result:{'entity_type': '"GEO"', 'description': '"The Ship is a vessel where the crew shares moments of kindness and reflection during Christmas, symbolizing unity and camaraderie.""The Ship is a vessel where the crew shares moments of kindness and reflection during Christmas, symbolizing unity and camaraderie.""The Ship is a vessel where the crew shares moments of kindness and reflection during Christmas, symbolizing unity and camaraderie.""The Ship is described as a vessel on the open sea, where the crew reflects on Christmas, showcasing camaraderie and a sense of belonging."', 'source_id': 'chunk-91614df5cb74cbe5e109a338a82041e9'} -2024-10-30 05:53:13,820 - lightrag - INFO - get_node:query:MATCH (n:`THE LAMPLIGHTER`) RETURN n:result:"The Lamplighter is a character who brings light to the street, symbolizing hope and joy as he dotting the dusky street with specks of light.""The Lamplighter is a character who fills the street with light, representing the warmth and joy of the holiday season."', 'source_id': 'chunk-91614df5cb74cbe5e109a338a82041e9'}> -2024-10-30 05:53:13,955 - lightrag - INFO - _do_upsert:query: - MERGE (n:`THE LAMPLIGHTER`) - SET n += $properties - RETURN n - :result:{'entity_type': '"PERSON"', 'description': '"The Lamplighter is a character who brings light to the street, symbolizing hope and joy as he dotting the dusky street with specks of light.""The Lamplighter is a character who brings light to the street, symbolizing hope and joy as he dotting the dusky street with specks of light.""The Lamplighter is a character who brings light to the street, symbolizing hope and joy as he dotting the dusky street with specks of light.""The Lamplighter is a character who fills the street with light, representing the warmth and joy of the holiday season."', 'source_id': 'chunk-91614df5cb74cbe5e109a338a82041e9'} -2024-10-30 05:53:14,086 - lightrag - INFO - get_node:query:MATCH (n:`THE MOOR`) RETURN n:result: -2024-10-30 05:53:14,219 - lightrag - INFO - _do_upsert:query: - MERGE (n:`THE MOOR`) - SET n += $properties - RETURN n - :result:{'entity_type': '"GEO"', 'description': '"The Moor is depicted as a bleak and desolate landscape, symbolizing the harsh conditions where miners live."', 'source_id': 'chunk-91614df5cb74cbe5e109a338a82041e9'} -2024-10-30 05:53:14,348 - lightrag - INFO - get_node:query:MATCH (n:`THE OLD MAN`) RETURN n:result:"The Old Man is a character who sings a Christmas song, providing a sense of tradition and warmth amidst the desolate environment.""The Old Man is portrayed as a figure of light and joy among his family, singing a Christmas song that connects generations."', 'source_id': 'chunk-91614df5cb74cbe5e109a338a82041e9'}> -2024-10-30 05:53:14,483 - lightrag - INFO - _do_upsert:query: - MERGE (n:`THE OLD MAN`) - SET n += $properties - RETURN n - :result:{'entity_type': '"PERSON"', 'description': '"The Old Man is a character who sings a Christmas song, providing a sense of tradition and warmth amidst the desolate environment.""The Old Man is a character who sings a Christmas song, providing a sense of tradition and warmth amidst the desolate environment.""The Old Man is a character who sings a Christmas song, providing a sense of tradition and warmth amidst the desolate environment.""The Old Man is portrayed as a figure of light and joy among his family, singing a Christmas song that connects generations."', 'source_id': 'chunk-91614df5cb74cbe5e109a338a82041e9'} -2024-10-30 05:53:14,613 - lightrag - INFO - get_node:query:MATCH (n:`THE HUT`) RETURN n:result:"The Hut is a place where miners and their families gather to celebrate Christmas, representing warmth and community.""The Hut is a shelter for the miners that provides warmth and a gathering space for family during the winter, serving as a symbol of refuge."', 'source_id': 'chunk-91614df5cb74cbe5e109a338a82041e9'}> -2024-10-30 05:53:14,748 - lightrag - INFO - _do_upsert:query: - MERGE (n:`THE HUT`) - SET n += $properties - RETURN n - :result:{'entity_type': '"GEO"', 'description': '"The Hut is a place where miners and their families gather to celebrate Christmas, representing warmth and community.""The Hut is a place where miners and their families gather to celebrate Christmas, representing warmth and community.""The Hut is a place where miners and their families gather to celebrate Christmas, representing warmth and community.""The Hut is a shelter for the miners that provides warmth and a gathering space for family during the winter, serving as a symbol of refuge."', 'source_id': 'chunk-91614df5cb74cbe5e109a338a82041e9'} -2024-10-30 05:53:14,879 - lightrag - INFO - get_node:query:MATCH (n:`THE MINERS`) RETURN n:result:"The Miners are individuals who labor in the moor, showcasing their resilience and connection to Christmas despite their harsh living conditions.""The Miners refer to a group of laborers living in a bleak landscape, embodying the struggles and resilience of working-class life."', 'source_id': 'chunk-91614df5cb74cbe5e109a338a82041e9'}> -2024-10-30 05:53:15,019 - lightrag - INFO - _do_upsert:query: - MERGE (n:`THE MINERS`) - SET n += $properties - RETURN n - :result:{'entity_type': '"ORGANIZATION"', 'description': '"The Miners are individuals who labor in the moor, showcasing their resilience and connection to Christmas despite their harsh living conditions.""The Miners are individuals who labor in the moor, showcasing their resilience and connection to Christmas despite their harsh living conditions.""The Miners are individuals who labor in the moor, showcasing their resilience and connection to Christmas despite their harsh living conditions.""The Miners refer to a group of laborers living in a bleak landscape, embodying the struggles and resilience of working-class life."', 'source_id': 'chunk-91614df5cb74cbe5e109a338a82041e9'} -2024-10-30 05:53:15,151 - lightrag - INFO - get_node:query:MATCH (n:`THE OFFICERS`) RETURN n:result: -2024-10-30 05:53:15,286 - lightrag - INFO - _do_upsert:query: - MERGE (n:`THE OFFICERS`) - SET n += $properties - RETURN n - :result:{'entity_type': '"ORGANIZATION"', 'description': '"The Officers are dark, ghostly figures aboard the ship, participating in the shared camaraderie of the Christmas spirit."', 'source_id': 'chunk-91614df5cb74cbe5e109a338a82041e9'} -2024-10-30 05:53:15,414 - lightrag - INFO - get_node:query:MATCH (n:`THE WAVE`) RETURN n:result: -2024-10-30 05:53:15,547 - lightrag - INFO - _do_upsert:query: - MERGE (n:`THE WAVE`) - SET n += $properties - RETURN n - :result:{'entity_type': '"GEO"', 'description': '"The Wave is described as thundering and raging, representing the overwhelming natural forces present in the sea setting."', 'source_id': 'chunk-91614df5cb74cbe5e109a338a82041e9'} -2024-10-30 05:53:15,679 - lightrag - INFO - get_node:query:MATCH (n:`STORM-BIRDS`) RETURN n:result:"Storm-Birds are creatures associated with the wild sea, symbolizing the untamed nature of the environment around the lighthouse.""Storm-Birds are depicted as creatures that rise and fall with the waves, symbolizing the harshness of the environment and the connection to the sea."', 'source_id': 'chunk-91614df5cb74cbe5e109a338a82041e9'}> -2024-10-30 05:53:15,822 - lightrag - INFO - _do_upsert:query: - MERGE (n:`STORM-BIRDS`) - SET n += $properties - RETURN n - :result:{'entity_type': '"GEO"', 'description': '"Storm-Birds are creatures associated with the wild sea, symbolizing the untamed nature of the environment around the lighthouse.""Storm-Birds are creatures associated with the wild sea, symbolizing the untamed nature of the environment around the lighthouse.""Storm-Birds are creatures associated with the wild sea, symbolizing the untamed nature of the environment around the lighthouse.""Storm-Birds are depicted as creatures that rise and fall with the waves, symbolizing the harshness of the environment and the connection to the sea."', 'source_id': 'chunk-91614df5cb74cbe5e109a338a82041e9'} -2024-10-30 05:53:15,951 - lightrag - INFO - get_node:query:MATCH (n:`SCROOGE'S NIECE`) RETURN n:result:"Scrooge\'s Niece is a lively character who expresses indignation towards Scrooge\'s disdain for Christmas and embodies warmth and charm, showing affection and concern for family.""Scrooge\'s Niece is depicted as a beautiful and lively character who expresses strong opinions about her uncle Scrooge.""Scrooge\'s niece is depicted as a joyful participant in the evening\'s festivities, engaging in games and music.""Scrooge\'s niece is a central figure in the family gathering, enjoying the festivities and games, showing a loving and vibrant personality.""Scrooge\'s niece is a central figure in the family gathering, enjoying the festivities and games, showing a loving and vibrant personality."', 'source_id': 'chunk-43c9bee23adfa77aa9dedd22401bba7dchunk-773d0df1dd25c356f7b771d780583e09'}> -2024-10-30 05:53:16,084 - lightrag - INFO - _do_upsert:query: - MERGE (n:`SCROOGE'S NIECE`) - SET n += $properties - RETURN n - :result:{'entity_type': '"PERSON"', 'description': '"Scrooge\'s Niece is a lively character who expresses indignation towards Scrooge\'s disdain for Christmas and embodies warmth and charm, showing affection and concern for family.""Scrooge\'s Niece is a lively character who expresses indignation towards Scrooge\'s disdain for Christmas and embodies warmth and charm, showing affection and concern for family.""Scrooge\'s Niece is a lively character who expresses indignation towards Scrooge\'s disdain for Christmas and embodies warmth and charm, showing affection and concern for family.""Scrooge\'s Niece is depicted as a beautiful and lively character who expresses strong opinions about her uncle Scrooge.""Scrooge\'s niece is depicted as a joyful participant in the evening\'s festivities, engaging in games and music.""Scrooge\'s niece is a central figure in the family gathering, enjoying the festivities and games, showing a loving and vibrant personality.""Scrooge\'s niece is a central figure in the family gathering, enjoying the festivities and games, showing a loving and vibrant personality.""Scrooge\'s niece is a central figure in the family gathering, enjoying the festivities and games, showing a loving and vibrant personality."', 'source_id': 'chunk-43c9bee23adfa77aa9dedd22401bba7dchunk-773d0df1dd25c356f7b771d780583e09'} -2024-10-30 05:53:16,212 - lightrag - INFO - get_node:query:MATCH (n:`TOPPER`) RETURN n:result:"Topper is a character who participates in the dinner and seems to have an interest in one of Scrooge\'s niece\'s sisters.""Topper is a guest at the Christmas party, representing the jovial and festive spirit of the gathering with Fred and Scrooge.""Topper is a jovial character who participates in games and is known for his playful and somewhat roguish behavior during the festivities.""Topper is a member of Scrooge\'s Niece\'s social group, characterized by his playful manner and romantic interests, notably towards one of Scrooge\'s Niece\'s sisters.""Topper is one of Fred\'s friends who attends the Christmas gathering, contributing to the joyful atmosphere of the celebration.""Topper is a jovial character who participates in games and is known for his playful and somewhat roguish behavior during the festivities.""Topper is a member of Scrooge\'s Niece\'s social group, characterized by his playful manner and romantic interests, notably towards one of Scrooge\'s Niece\'s sisters.""Topper is one of Fred\'s friends who attends the Christmas gathering, contributing to the joyful atmosphere of the celebration."', 'source_id': 'chunk-43c9bee23adfa77aa9dedd22401bba7dchunk-94bea83e7153fc2064aa382b494936a1chunk-773d0df1dd25c356f7b771d780583e09'}> -2024-10-30 05:53:16,348 - lightrag - INFO - _do_upsert:query: - MERGE (n:`TOPPER`) - SET n += $properties - RETURN n - :result:{'entity_type': '"PERSON"', 'description': '"Topper is a character known for his lively and mischievous behavior during the games at the festive gathering.""Topper is a character who participates in the dinner and seems to have an interest in one of Scrooge\'s niece\'s sisters.""Topper is a guest at the Christmas party, representing the jovial and festive spirit of the gathering with Fred and Scrooge.""Topper is a jovial character who participates in games and is known for his playful and somewhat roguish behavior during the festivities.""Topper is a member of Scrooge\'s Niece\'s social group, characterized by his playful manner and romantic interests, notably towards one of Scrooge\'s Niece\'s sisters.""Topper is one of Fred\'s friends who attends the Christmas gathering, contributing to the joyful atmosphere of the celebration.""Topper is a jovial character who participates in games and is known for his playful and somewhat roguish behavior during the festivities.""Topper is a member of Scrooge\'s Niece\'s social group, characterized by his playful manner and romantic interests, notably towards one of Scrooge\'s Niece\'s sisters.""Topper is one of Fred\'s friends who attends the Christmas gathering, contributing to the joyful atmosphere of the celebration.""Topper is a jovial character who participates in games and is known for his playful and somewhat roguish behavior during the festivities.""Topper is a member of Scrooge\'s Niece\'s social group, characterized by his playful manner and romantic interests, notably towards one of Scrooge\'s Niece\'s sisters.""Topper is one of Fred\'s friends who attends the Christmas gathering, contributing to the joyful atmosphere of the celebration."', 'source_id': 'chunk-43c9bee23adfa77aa9dedd22401bba7dchunk-94bea83e7153fc2064aa382b494936a1chunk-773d0df1dd25c356f7b771d780583e09'} -2024-10-30 05:53:16,474 - lightrag - INFO - get_node:query:MATCH (n:`SCROOGE'S NIECE'S SISTERS`) RETURN n:result:"Scrooge\'s Niece\'s Sisters are a part of the family gathering, expressing their opinions and adding to the lively atmosphere with their laughter and good humor.""Scrooge\'s Niece\'s Sisters are part of the family gathering, contributing to the lively atmosphere and expressing opinions about Scrooge."', 'source_id': 'chunk-773d0df1dd25c356f7b771d780583e09'}> -2024-10-30 05:53:16,610 - lightrag - INFO - _do_upsert:query: - MERGE (n:`SCROOGE'S NIECE'S SISTERS`) - SET n += $properties - RETURN n - :result:{'entity_type': '"PERSON"', 'description': '"Scrooge\'s Niece\'s Sisters are a part of the family gathering, expressing their opinions and adding to the lively atmosphere with their laughter and good humor.""Scrooge\'s Niece\'s Sisters are a part of the family gathering, expressing their opinions and adding to the lively atmosphere with their laughter and good humor.""Scrooge\'s Niece\'s Sisters are a part of the family gathering, expressing their opinions and adding to the lively atmosphere with their laughter and good humor.""Scrooge\'s Niece\'s Sisters are part of the family gathering, contributing to the lively atmosphere and expressing opinions about Scrooge."', 'source_id': 'chunk-773d0df1dd25c356f7b771d780583e09'} -2024-10-30 05:53:16,738 - lightrag - INFO - get_node:query:MATCH (n:`THE PLUMP SISTER`) RETURN n:result:"The Plump Sister is a character in the gathering who becomes the focus of Topper\'s playful advances during the games, contributing to the comedic aspects of the gathering.""The Plump Sister is depicted in a light-hearted and humorous context, illustrating the fun of Christmas gatherings.""The plump sister is a character involved in the games, specifically blind man\'s-buff, and captures Topper\'s attention during the festivities.""The Plump Sister is one of Scrooge\'s Niece\'s sisters, characterized by her bashfulness and her attempts to maintain decorum amidst the laughter.""The Plump Sister is one of Scrooge\'s Niece\'s sisters, characterized by her bashfulness and her attempts to maintain decorum amidst the laughter."', 'source_id': 'chunk-43c9bee23adfa77aa9dedd22401bba7dchunk-89777b838d5447c7bd1ec11282c4ee89chunk-773d0df1dd25c356f7b771d780583e09'}> -2024-10-30 05:53:16,903 - lightrag - INFO - _do_upsert:query: - MERGE (n:`THE PLUMP SISTER`) - SET n += $properties - RETURN n - :result:{'entity_type': '"PERSON"', 'description': '"The Plump Sister is a character in the gathering who becomes the focus of Topper\'s playful advances during the games, contributing to the comedic aspects of the gathering.""The Plump Sister is a character in the gathering who becomes the focus of Topper\'s playful advances during the games, contributing to the comedic aspects of the gathering.""The Plump Sister is a character in the gathering who becomes the focus of Topper\'s playful advances during the games, contributing to the comedic aspects of the gathering.""The Plump Sister is depicted in a light-hearted and humorous context, illustrating the fun of Christmas gatherings.""The plump sister is a character involved in the games, specifically blind man\'s-buff, and captures Topper\'s attention during the festivities.""The Plump Sister is one of Scrooge\'s Niece\'s sisters, characterized by her bashfulness and her attempts to maintain decorum amidst the laughter.""The Plump Sister is one of Scrooge\'s Niece\'s sisters, characterized by her bashfulness and her attempts to maintain decorum amidst the laughter.""The Plump Sister is one of Scrooge\'s Niece\'s sisters, characterized by her bashfulness and her attempts to maintain decorum amidst the laughter."', 'source_id': 'chunk-89777b838d5447c7bd1ec11282c4ee89chunk-43c9bee23adfa77aa9dedd22401bba7dchunk-773d0df1dd25c356f7b771d780583e09'} -2024-10-30 05:53:17,033 - lightrag - INFO - get_node:query:MATCH (n:`DINNER`) RETURN n:result: -2024-10-30 05:53:17,168 - lightrag - INFO - _do_upsert:query: - MERGE (n:`DINNER`) - SET n += $properties - RETURN n - :result:{'entity_type': '"EVENT"', 'description': '"Dinner is the festive meal that is shared among the characters, symbolizing the warmth of family and celebration that contrasts with Scrooge\'s isolated demeanor."', 'source_id': 'chunk-773d0df1dd25c356f7b771d780583e09'} -2024-10-30 05:53:17,296 - lightrag - INFO - get_node:query:MATCH (n:`MERRIMENT`) RETURN n:result:"Merriment embodies the joy and celebration associated with the holiday season and the gathering of family and friends in the narrative.""Merriment refers to the joyful and festive atmosphere that the characters aim to create, opposing Scrooge\'s jaded perspective on social gatherings.""Merriment refers to the joyful and festive atmosphere that the characters aim to create, opposing Scrooge\'s jaded perspective on social gatherings."', 'source_id': 'chunk-773d0df1dd25c356f7b771d780583e09chunk-e7637ff18c5ded77a68cce0a87883fad'}> -2024-10-30 05:53:17,436 - lightrag - INFO - _do_upsert:query: - MERGE (n:`MERRIMENT`) - SET n += $properties - RETURN n - :result:{'entity_type': '"CONCEPT"', 'description': '"Merriment embodies the joy and celebration associated with the holiday season and the gathering of family and friends in the narrative.""Merriment embodies the joy and celebration associated with the holiday season and the gathering of family and friends in the narrative.""Merriment embodies the joy and celebration associated with the holiday season and the gathering of family and friends in the narrative.""Merriment refers to the joyful and festive atmosphere that the characters aim to create, opposing Scrooge\'s jaded perspective on social gatherings.""Merriment refers to the joyful and festive atmosphere that the characters aim to create, opposing Scrooge\'s jaded perspective on social gatherings.""Merriment refers to the joyful and festive atmosphere that the characters aim to create, opposing Scrooge\'s jaded perspective on social gatherings."', 'source_id': 'chunk-e7637ff18c5ded77a68cce0a87883fadchunk-773d0df1dd25c356f7b771d780583e09'} -2024-10-30 05:53:17,562 - lightrag - INFO - get_node:query:MATCH (n:`BLIND MAN'S BUFF`) RETURN n:result: -2024-10-30 05:53:17,694 - lightrag - INFO - _do_upsert:query: - MERGE (n:`BLIND MAN'S BUFF`) - SET n += $properties - RETURN n - :result:{'entity_type': '"EVENT"', 'description': '"Blind Man\'s Buff is a traditional game played during the gathering, contributing to the festive atmosphere and interactions among the guests."', 'source_id': 'chunk-43c9bee23adfa77aa9dedd22401bba7d'} -2024-10-30 05:53:17,822 - lightrag - INFO - get_node:query:MATCH (n:`FORFEITS`) RETURN n:result:"Forfeits is another social game played by the characters, emphasizing the playful nature of their Christmas celebration.""Forfeits is another social game played by the characters, emphasizing the playful nature of their Christmas celebration."', 'source_id': 'chunk-43c9bee23adfa77aa9dedd22401bba7d'}> -2024-10-30 05:53:17,960 - lightrag - INFO - _do_upsert:query: - MERGE (n:`FORFEITS`) - SET n += $properties - RETURN n - :result:{'entity_type': '"EVENT"', 'description': '"Forfeits is another game played that allows participants to engage in fun activities, emphasizing the spirit of the gathering.""Forfeits is another social game played by the characters, emphasizing the playful nature of their Christmas celebration.""Forfeits is another social game played by the characters, emphasizing the playful nature of their Christmas celebration.""Forfeits is another social game played by the characters, emphasizing the playful nature of their Christmas celebration."', 'source_id': 'chunk-43c9bee23adfa77aa9dedd22401bba7d'} -2024-10-30 05:53:18,092 - lightrag - INFO - get_node:query:MATCH (n:`THE HARP`) RETURN n:result: -2024-10-30 05:53:18,226 - lightrag - INFO - _do_upsert:query: - MERGE (n:`THE HARP`) - SET n += $properties - RETURN n - :result:{'entity_type': '"TECHNOLOGY"', 'description': '"The Harp is a musical instrument played by Scrooge\'s niece, contributing to the evening\'s entertainment and illustrating the family\'s musical talents."', 'source_id': 'chunk-43c9bee23adfa77aa9dedd22401bba7d'} -2024-10-30 05:53:18,358 - lightrag - INFO - get_node:query:MATCH (n:`CHRISTMAS HOLIDAYS`) RETURN n:result:"Christmas Holidays signify a time for celebration, reflection, and reconciliation, playing a critical role in Scrooge\'s transformation.""The Christmas Holidays serve as a crucial backdrop for the narrative, representing themes of generosity, family, and redemption."', 'source_id': 'chunk-e7637ff18c5ded77a68cce0a87883fad'}> -2024-10-30 05:53:18,494 - lightrag - INFO - _do_upsert:query: - MERGE (n:`CHRISTMAS HOLIDAYS`) - SET n += $properties - RETURN n - :result:{'entity_type': '"EVENT"', 'description': '"Christmas Holidays signify a time for celebration, reflection, and reconciliation, playing a critical role in Scrooge\'s transformation.""Christmas Holidays signify a time for celebration, reflection, and reconciliation, playing a critical role in Scrooge\'s transformation.""Christmas Holidays signify a time for celebration, reflection, and reconciliation, playing a critical role in Scrooge\'s transformation.""The Christmas Holidays serve as a crucial backdrop for the narrative, representing themes of generosity, family, and redemption."', 'source_id': 'chunk-e7637ff18c5ded77a68cce0a87883fad'} -2024-10-30 05:53:18,621 - lightrag - INFO - get_node:query:MATCH (n:`IGNORANCE`) RETURN n:result:"Ignorance is personified as a boy that symbolizes the dangers of ignoring social issues and the consequences of a lack of awareness.""Ignorance personifies a societal failing, depicted as a child, warning of the dangers of neglect and moral responsibility.""Ignorance refers to one of the two children presented by the Spirit, symbolizing societal neglect and the consequences of lack of awareness.""Ignorance personifies a societal failing, depicted as a child, warning of the dangers of neglect and moral responsibility.""Ignorance refers to one of the two children presented by the Spirit, symbolizing societal neglect and the consequences of lack of awareness."', 'source_id': 'chunk-02baee20cc9463dbe08170a8e1043e32chunk-e7637ff18c5ded77a68cce0a87883fad'}> -2024-10-30 05:53:18,755 - lightrag - INFO - _do_upsert:query: - MERGE (n:`IGNORANCE`) - SET n += $properties - RETURN n - :result:{'entity_type': '"CONCEPT"', 'description': '"Ignorance is personified as a boy shown to Scrooge by the Spirit, representing a societal issue that appeals for attention and change.""Ignorance is personified as a boy that symbolizes the dangers of ignoring social issues and the consequences of a lack of awareness.""Ignorance personifies a societal failing, depicted as a child, warning of the dangers of neglect and moral responsibility.""Ignorance refers to one of the two children presented by the Spirit, symbolizing societal neglect and the consequences of lack of awareness.""Ignorance personifies a societal failing, depicted as a child, warning of the dangers of neglect and moral responsibility.""Ignorance refers to one of the two children presented by the Spirit, symbolizing societal neglect and the consequences of lack of awareness.""Ignorance personifies a societal failing, depicted as a child, warning of the dangers of neglect and moral responsibility.""Ignorance refers to one of the two children presented by the Spirit, symbolizing societal neglect and the consequences of lack of awareness."', 'source_id': 'chunk-02baee20cc9463dbe08170a8e1043e32chunk-e7637ff18c5ded77a68cce0a87883fad'} -2024-10-30 05:53:18,884 - lightrag - INFO - get_node:query:MATCH (n:`WANT`) RETURN n:result:"Want is represented as the second child shown by the Spirit, symbolizing the dire social conditions and needs of the impoverished.""Want represents another societal failing, portrayed as a girl, symbolizing deprivation and yearning for basic needs.""Want is represented as the second child shown by the Spirit, symbolizing the dire social conditions and needs of the impoverished.""Want represents another societal failing, portrayed as a girl, symbolizing deprivation and yearning for basic needs."', 'source_id': 'chunk-02baee20cc9463dbe08170a8e1043e32chunk-e7637ff18c5ded77a68cce0a87883fad'}> -2024-10-30 05:53:19,019 - lightrag - INFO - _do_upsert:query: - MERGE (n:`WANT`) - SET n += $properties - RETURN n - :result:{'entity_type': '"CONCEPT"', 'description': '"Want is depicted as a girl, representing the consequences of poverty and desire in society, warning against neglecting these issues.""Want is represented as the second child shown by the Spirit, symbolizing the dire social conditions and needs of the impoverished.""Want represents another societal failing, portrayed as a girl, symbolizing deprivation and yearning for basic needs.""Want is represented as the second child shown by the Spirit, symbolizing the dire social conditions and needs of the impoverished.""Want represents another societal failing, portrayed as a girl, symbolizing deprivation and yearning for basic needs.""Want is represented as the second child shown by the Spirit, symbolizing the dire social conditions and needs of the impoverished.""Want represents another societal failing, portrayed as a girl, symbolizing deprivation and yearning for basic needs."', 'source_id': 'chunk-02baee20cc9463dbe08170a8e1043e32chunk-e7637ff18c5ded77a68cce0a87883fad'} -2024-10-30 05:53:19,150 - lightrag - INFO - get_node:query:MATCH (n:`ALMS HOUSE`) RETURN n:result: -2024-10-30 05:53:19,284 - lightrag - INFO - _do_upsert:query: - MERGE (n:`ALMS HOUSE`) - SET n += $properties - RETURN n - :result:{'entity_type': '"ORGANIZATION"', 'description': '"Alms House refers to a charitable institution visited by the Spirit, where the poor receive support and care."', 'source_id': 'chunk-e7637ff18c5ded77a68cce0a87883fad'} -2024-10-30 05:53:19,414 - lightrag - INFO - get_node:query:MATCH (n:`HOSPITAL`) RETURN n:result:"Hospital signifies a place of healing and care, visited by the Spirit in the story.""The Hospital represents a location of care and compassion, highlighting the human condition and the need for kindness."', 'source_id': 'chunk-e7637ff18c5ded77a68cce0a87883fad'}> -2024-10-30 05:53:19,550 - lightrag - INFO - _do_upsert:query: - MERGE (n:`HOSPITAL`) - SET n += $properties - RETURN n - :result:{'entity_type': '"ORGANIZATION"', 'description': '"Hospital signifies a place of healing and care, visited by the Spirit in the story.""Hospital signifies a place of healing and care, visited by the Spirit in the story.""Hospital signifies a place of healing and care, visited by the Spirit in the story.""The Hospital represents a location of care and compassion, highlighting the human condition and the need for kindness."', 'source_id': 'chunk-e7637ff18c5ded77a68cce0a87883fad'} -2024-10-30 05:53:19,680 - lightrag - INFO - get_node:query:MATCH (n:`GAOL`) RETURN n:result:"Gaol refers to a prison, illustrating the theme of social justice and the conditions of the impoverished in society.""The Gaol symbolizes imprisonment and despair, representing the societal failings and the need for mercy and understanding."', 'source_id': 'chunk-e7637ff18c5ded77a68cce0a87883fad'}> -2024-10-30 05:53:19,815 - lightrag - INFO - _do_upsert:query: - MERGE (n:`GAOL`) - SET n += $properties - RETURN n - :result:{'entity_type': '"ORGANIZATION"', 'description': '"Gaol refers to a prison, illustrating the theme of social justice and the conditions of the impoverished in society.""Gaol refers to a prison, illustrating the theme of social justice and the conditions of the impoverished in society.""Gaol refers to a prison, illustrating the theme of social justice and the conditions of the impoverished in society.""The Gaol symbolizes imprisonment and despair, representing the societal failings and the need for mercy and understanding."', 'source_id': 'chunk-e7637ff18c5ded77a68cce0a87883fad'} -2024-10-30 05:53:19,946 - lightrag - INFO - get_node:query:MATCH (n:`TWELFTH NIGHT`) RETURN n:result: -2024-10-30 05:53:20,080 - lightrag - INFO - _do_upsert:query: - MERGE (n:`TWELFTH NIGHT`) - SET n += $properties - RETURN n - :result:{'entity_type': '"EVENT"', 'description': '"Twelfth Night is a festive occasion celebrated in the story, showcasing family gatherings and merriment during the holiday season."', 'source_id': 'chunk-e7637ff18c5ded77a68cce0a87883fad'} -2024-10-30 05:53:20,210 - lightrag - INFO - get_node:query:MATCH (n:`MULLED WINE`) RETURN n:result:"Mulled Wine is a festive drink mentioned in the context of celebration during the Christmas gathering.""Mulled Wine symbolizes warmth and cheer, often associated with celebrations during the holiday season, particularly in the context of family gatherings."', 'source_id': 'chunk-e7637ff18c5ded77a68cce0a87883fad'}> -2024-10-30 05:53:20,346 - lightrag - INFO - _do_upsert:query: - MERGE (n:`MULLED WINE`) - SET n += $properties - RETURN n - :result:{'entity_type': '"EVENT"', 'description': '"Mulled Wine is a festive drink mentioned in the context of celebration during the Christmas gathering.""Mulled Wine is a festive drink mentioned in the context of celebration during the Christmas gathering.""Mulled Wine is a festive drink mentioned in the context of celebration during the Christmas gathering.""Mulled Wine symbolizes warmth and cheer, often associated with celebrations during the holiday season, particularly in the context of family gatherings."', 'source_id': 'chunk-e7637ff18c5ded77a68cce0a87883fad'} -2024-10-30 05:53:20,477 - lightrag - INFO - get_node:query:MATCH (n:`PHANTOM`) RETURN n:result: -2024-10-30 05:53:20,611 - lightrag - INFO - _do_upsert:query: - MERGE (n:`PHANTOM`) - SET n += $properties - RETURN n - :result:{'entity_type': '"ORGANIZATION"', 'description': '"The Phantom is a representation of death and the unknown future, appearing to Scrooge with a mysterious and intimidating presence."', 'source_id': 'chunk-02baee20cc9463dbe08170a8e1043e32'} -2024-10-30 05:53:20,736 - lightrag - INFO - get_node:query:MATCH (n:`BUSINESS MEN`) RETURN n:result: -2024-10-30 05:53:20,873 - lightrag - INFO - _do_upsert:query: - MERGE (n:`BUSINESS MEN`) - SET n += $properties - RETURN n - :result:{'entity_type': '"ORGANIZATION"', 'description': '"The business men are a group discussing Scrooge\'s death, reflecting society\'s indifference and the consequential nature of wealth."', 'source_id': 'chunk-02baee20cc9463dbe08170a8e1043e32'} -2024-10-30 05:53:21,002 - lightrag - INFO - get_node:query:MATCH (n:`THE DEAD MAN`) RETURN n:result:"The Dead man is the subject of discussion among the business men, representing Scrooge himself and the consequences of his life.""The Dead man is the subject of discussion among the business men, representing Scrooge himself and the consequences of his life."', 'source_id': 'chunk-60fc063c79fc0d4acc91a57e79de04dcchunk-02baee20cc9463dbe08170a8e1043e32'}> -2024-10-30 05:53:21,138 - lightrag - INFO - _do_upsert:query: - MERGE (n:`THE DEAD MAN`) - SET n += $properties - RETURN n - :result:{'entity_type': '"PERSON"', 'description': '"The Dead Man is mentioned as the previous owner of the items being appraised, embodying the consequences of greed and isolation.""The Dead man is the subject of discussion among the business men, representing Scrooge himself and the consequences of his life.""The Dead man is the subject of discussion among the business men, representing Scrooge himself and the consequences of his life.""The Dead man is the subject of discussion among the business men, representing Scrooge himself and the consequences of his life."', 'source_id': 'chunk-02baee20cc9463dbe08170a8e1043e32chunk-60fc063c79fc0d4acc91a57e79de04dc'} -2024-10-30 05:53:21,268 - lightrag - INFO - get_node:query:MATCH (n:`JACOB`) RETURN n:result:"Jacob is Scrooge\'s old partner whose death is acknowledged, influencing Scrooge\'s reflections on his own life and future.""Jacob is referenced as Scrooge\'s old partner, significant for his recent death and the impact of this event on Scrooge\'s reflections."', 'source_id': 'chunk-f1a4fbcf1ed86864b9bfd5e8dba4c683'}> -2024-10-30 05:53:21,403 - lightrag - INFO - _do_upsert:query: - MERGE (n:`JACOB`) - SET n += $properties - RETURN n - :result:{'entity_type': '"PERSON"', 'description': '"Jacob is Scrooge\'s old partner whose death is acknowledged, influencing Scrooge\'s reflections on his own life and future.""Jacob is Scrooge\'s old partner whose death is acknowledged, influencing Scrooge\'s reflections on his own life and future.""Jacob is Scrooge\'s old partner whose death is acknowledged, influencing Scrooge\'s reflections on his own life and future.""Jacob is referenced as Scrooge\'s old partner, significant for his recent death and the impact of this event on Scrooge\'s reflections."', 'source_id': 'chunk-f1a4fbcf1ed86864b9bfd5e8dba4c683'} -2024-10-30 05:53:21,533 - lightrag - INFO - get_node:query:MATCH (n:`THE TOWN`) RETURN n:result: -2024-10-30 05:53:21,662 - lightrag - INFO - _do_upsert:query: - MERGE (n:`THE TOWN`) - SET n += $properties - RETURN n - :result:{'entity_type': '"GEO"', 'description': '"The Town is depicted as an obscure and morally degraded area contrasting with the lively scenes, indicating deep societal issues."', 'source_id': 'chunk-f1a4fbcf1ed86864b9bfd5e8dba4c683'} -2024-10-30 05:53:21,788 - lightrag - INFO - get_node:query:MATCH (n:`THE LOW-BROWED SHOP`) RETURN n:result:"The Low-Browed Shop is a grim establishment in the town dealing in various unwanted goods, representing decay and desperation.""The Low-Browed Shop is a setting that symbolizes neglect and degradation, filled with discarded items and representing societal decay."', 'source_id': 'chunk-f1a4fbcf1ed86864b9bfd5e8dba4c683'}> -2024-10-30 05:53:21,923 - lightrag - INFO - _do_upsert:query: - MERGE (n:`THE LOW-BROWED SHOP`) - SET n += $properties - RETURN n - :result:{'entity_type': '"ORGANIZATION"', 'description': '"The Low-Browed Shop is a grim establishment in the town dealing in various unwanted goods, representing decay and desperation.""The Low-Browed Shop is a grim establishment in the town dealing in various unwanted goods, representing decay and desperation.""The Low-Browed Shop is a grim establishment in the town dealing in various unwanted goods, representing decay and desperation.""The Low-Browed Shop is a setting that symbolizes neglect and degradation, filled with discarded items and representing societal decay."', 'source_id': 'chunk-f1a4fbcf1ed86864b9bfd5e8dba4c683'} -2024-10-30 05:53:22,054 - lightrag - INFO - get_node:query:MATCH (n:`RED-FACED GENTLEMAN`) RETURN n:result: -2024-10-30 05:53:22,188 - lightrag - INFO - _do_upsert:query: - MERGE (n:`RED-FACED GENTLEMAN`) - SET n += $properties - RETURN n - :result:{'entity_type': '"PERSON"', 'description': '"The Red-faced Gentleman is a character who humorously discusses the potential nature of a cheap funeral at the gathering."', 'source_id': 'chunk-f1a4fbcf1ed86864b9bfd5e8dba4c683'} -2024-10-30 05:53:22,316 - lightrag - INFO - get_node:query:MATCH (n:`GENTLEMAN WITH THE EXCRESCENCE`) RETURN n:result: -2024-10-30 05:53:22,455 - lightrag - INFO - _do_upsert:query: - MERGE (n:`GENTLEMAN WITH THE EXCRESCENCE`) - SET n += $properties - RETURN n - :result:{'entity_type': '"PERSON"', 'description': '"The Gentleman with the Excrescence is characterized by a physical trait and provides humorous remarks about attending a funeral."', 'source_id': 'chunk-f1a4fbcf1ed86864b9bfd5e8dba4c683'} -2024-10-30 05:53:22,583 - lightrag - INFO - get_node:query:MATCH (n:`OLD SCRATCH`) RETURN n:result:"Old Scratch is a colloquial term used in reference to the devil, indicating a grim context in discussions about death.""Old Scratch is mentioned as a figure related to the conversation, symbolizing mischief and humor."', 'source_id': 'chunk-f1a4fbcf1ed86864b9bfd5e8dba4c683chunk-89777b838d5447c7bd1ec11282c4ee89'}> -2024-10-30 05:53:22,720 - lightrag - INFO - _do_upsert:query: - MERGE (n:`OLD SCRATCH`) - SET n += $properties - RETURN n - :result:{'entity_type': '"CONCEPT"', 'description': '"Old Scratch is a colloquial term used in reference to the devil, indicating a grim context in discussions about death.""Old Scratch is a colloquial term used in reference to the devil, indicating a grim context in discussions about death.""Old Scratch is a colloquial term used in reference to the devil, indicating a grim context in discussions about death.""Old Scratch is mentioned as a figure related to the conversation, symbolizing mischief and humor."', 'source_id': 'chunk-f1a4fbcf1ed86864b9bfd5e8dba4c683chunk-89777b838d5447c7bd1ec11282c4ee89'} -2024-10-30 05:53:22,848 - lightrag - INFO - get_node:query:MATCH (n:`THE MEETING`) RETURN n:result: -2024-10-30 05:53:22,981 - lightrag - INFO - _do_upsert:query: - MERGE (n:`THE MEETING`) - SET n += $properties - RETURN n - :result:{'entity_type': '"EVENT"', 'description': '"The Meeting is characterized by light-hearted banter among characters regarding the funeral and their connections to the deceased."', 'source_id': 'chunk-f1a4fbcf1ed86864b9bfd5e8dba4c683'} -2024-10-30 05:53:23,112 - lightrag - INFO - get_node:query:MATCH (n:`THE PHANTOM`) RETURN n:result:"The Phantom represents a ghostly presence guiding Scrooge through reflections on his life and future decisions.""The Phantom represents the supernatural element in Scrooge\'s journey of self-reflection and moral awakening."', 'source_id': 'chunk-f1a4fbcf1ed86864b9bfd5e8dba4c683'}> -2024-10-30 05:53:23,246 - lightrag - INFO - _do_upsert:query: - MERGE (n:`THE PHANTOM`) - SET n += $properties - RETURN n - :result:{'entity_type': '"ORGANIZATION"', 'description': '"The Phantom represents a ghostly presence guiding Scrooge through reflections on his life and future decisions.""The Phantom represents a ghostly presence guiding Scrooge through reflections on his life and future decisions.""The Phantom represents a ghostly presence guiding Scrooge through reflections on his life and future decisions.""The Phantom represents the supernatural element in Scrooge\'s journey of self-reflection and moral awakening."', 'source_id': 'chunk-f1a4fbcf1ed86864b9bfd5e8dba4c683'} -2024-10-30 05:53:23,378 - lightrag - INFO - get_node:query:MATCH (n:`THE QUARTER`) RETURN n:result: -2024-10-30 05:53:23,520 - lightrag - INFO - _do_upsert:query: - MERGE (n:`THE QUARTER`) - SET n += $properties - RETURN n - :result:{'entity_type': '"GEO"', 'description': '"The Quarter is a depiction of an impoverished and crime-ridden area of the town, emphasizing societal neglect."', 'source_id': 'chunk-f1a4fbcf1ed86864b9bfd5e8dba4c683'} -2024-10-30 05:53:23,648 - lightrag - INFO - get_node:query:MATCH (n:`THE COAL SHOP`) RETURN n:result: -2024-10-30 05:53:23,779 - lightrag - INFO - _do_upsert:query: - MERGE (n:`THE COAL SHOP`) - SET n += $properties - RETURN n - :result:{'entity_type': '"ORGANIZATION"', 'description': '"The Coal Shop is a den of lowly transactions that signifies the harsh living conditions experienced by the characters in the quarter."', 'source_id': 'chunk-f1a4fbcf1ed86864b9bfd5e8dba4c683'} -2024-10-30 05:53:23,908 - lightrag - INFO - get_node:query:MATCH (n:`MISCELLANEOUS TATTERS`) RETURN n:result: -2024-10-30 05:53:24,043 - lightrag - INFO - _do_upsert:query: - MERGE (n:`MISCELLANEOUS TATTERS`) - SET n += $properties - RETURN n - :result:{'entity_type': '"CONCEPT"', 'description': '"Miscellaneous Tatters symbolize the shabby and worn conditions surrounding the characters in the Low-Browed Shop."', 'source_id': 'chunk-f1a4fbcf1ed86864b9bfd5e8dba4c683'} -2024-10-30 05:53:24,170 - lightrag - INFO - get_node:query:MATCH (n:`THE CHARCOAL STOVE`) RETURN n:result: -2024-10-30 05:53:24,306 - lightrag - INFO - _do_upsert:query: - MERGE (n:`THE CHARCOAL STOVE`) - SET n += $properties - RETURN n - :result:{'entity_type': '"TECHNOLOGY"', 'description': '"The Charcoal Stove is a humble source of warmth within the Low-Browed Shop, indicative of the bleak environment."', 'source_id': 'chunk-f1a4fbcf1ed86864b9bfd5e8dba4c683'} -2024-10-30 05:53:24,435 - lightrag - INFO - get_node:query:MATCH (n:`OLD JOE`) RETURN n:result:"Old Joe is a grey-haired man who runs a shop where people come to sell their belongings after a death, embodying a rough, pragmatic character.""Old Joe is a grey-haired man, nearly seventy years old, who runs a shop and conducts business in a rather nonchalant manner, showcasing a certain charm amidst his questionable dealings."', 'source_id': 'chunk-60fc063c79fc0d4acc91a57e79de04dc'}> -2024-10-30 05:53:24,569 - lightrag - INFO - _do_upsert:query: - MERGE (n:`OLD JOE`) - SET n += $properties - RETURN n - :result:{'entity_type': '"PERSON"', 'description': '"Old Joe is a grey-haired man who runs a shop where people come to sell their belongings after a death, embodying a rough, pragmatic character.""Old Joe is a grey-haired man who runs a shop where people come to sell their belongings after a death, embodying a rough, pragmatic character.""Old Joe is a grey-haired man who runs a shop where people come to sell their belongings after a death, embodying a rough, pragmatic character.""Old Joe is a grey-haired man, nearly seventy years old, who runs a shop and conducts business in a rather nonchalant manner, showcasing a certain charm amidst his questionable dealings."', 'source_id': 'chunk-60fc063c79fc0d4acc91a57e79de04dc'} -2024-10-30 05:53:24,696 - lightrag - INFO - get_node:query:MATCH (n:`MRS. DILBER`) RETURN n:result:"Mrs. Dilber is a laundress who participates in the gathering, commenting on the morality of their actions with a laugh.""Mrs. Dilber is a laundress who participates in the gathering, commenting on the morality of their actions with a laugh."', 'source_id': 'chunk-60fc063c79fc0d4acc91a57e79de04dc'}> -2024-10-30 05:53:24,832 - lightrag - INFO - _do_upsert:query: - MERGE (n:`MRS. DILBER`) - SET n += $properties - RETURN n - :result:{'entity_type': '"PERSON"', 'description': '"Mrs. Dilber is a laundress who is involved in the discussion about the belongings they are handling, exhibiting a pragmatic attitude towards the situation.""Mrs. Dilber is a laundress who participates in the gathering, commenting on the morality of their actions with a laugh.""Mrs. Dilber is a laundress who participates in the gathering, commenting on the morality of their actions with a laugh.""Mrs. Dilber is a laundress who participates in the gathering, commenting on the morality of their actions with a laugh."', 'source_id': 'chunk-60fc063c79fc0d4acc91a57e79de04dc'} -2024-10-30 05:53:24,963 - lightrag - INFO - get_node:query:MATCH (n:`THE MAN IN FADED BLACK`) RETURN n:result: -2024-10-30 05:53:25,096 - lightrag - INFO - _do_upsert:query: - MERGE (n:`THE MAN IN FADED BLACK`) - SET n += $properties - RETURN n - :result:{'entity_type': '"PERSON"', 'description': '"The Man in Faded Black is a character who, echoing the sentiments of the others, reveals his modest haul of stolen goods during the gathering."', 'source_id': 'chunk-60fc063c79fc0d4acc91a57e79de04dc'} -2024-10-30 05:53:25,225 - lightrag - INFO - get_node:query:MATCH (n:`THE SHOP`) RETURN n:result:"The Shop is a setting where characters gather to appraise items they have taken from the deceased, reflecting their attitudes towards death and morality.""The Shop is a setting where characters gather to appraise items they have taken from the deceased, reflecting their attitudes towards death and morality."', 'source_id': 'chunk-60fc063c79fc0d4acc91a57e79de04dc'}> -2024-10-30 05:53:25,359 - lightrag - INFO - _do_upsert:query: - MERGE (n:`THE SHOP`) - SET n += $properties - RETURN n - :result:{'entity_type': '"ORGANIZATION"', 'description': '"The Shop is Old Joe\'s place of business and serves as the meeting location for the characters, where they evaluate and exchange stolen items.""The Shop is a setting where characters gather to appraise items they have taken from the deceased, reflecting their attitudes towards death and morality.""The Shop is a setting where characters gather to appraise items they have taken from the deceased, reflecting their attitudes towards death and morality.""The Shop is a setting where characters gather to appraise items they have taken from the deceased, reflecting their attitudes towards death and morality."', 'source_id': 'chunk-60fc063c79fc0d4acc91a57e79de04dc'} -2024-10-30 05:53:25,491 - lightrag - INFO - get_node:query:MATCH (n:`THE BUNDLE`) RETURN n:result:"The Bundle contains the belongings of the deceased man, which serve as a focal point for discussion among the characters regarding value and morality.""The Bundle refers to the collection of stolen items brought by the characters to Old Joe\'s shop for appraisal, symbolizing their actions post-death.""The Bundle refers to the collection of stolen items that the characters present to Old Joe for appraisal.""The Bundle refers to the collection of stolen items brought by the characters to Old Joe\'s shop for appraisal, symbolizing their actions post-death."', 'source_id': 'chunk-60fc063c79fc0d4acc91a57e79de04dcchunk-e1f29eeadc1d8ab46dc8a0bbd3c56b64'}> -2024-10-30 05:53:25,626 - lightrag - INFO - _do_upsert:query: - MERGE (n:`THE BUNDLE`) - SET n += $properties - RETURN n - :result:{'entity_type': '"EVENT"', 'description': '"The Bundle contains the belongings of the deceased man, which serve as a focal point for discussion among the characters regarding value and morality.""The Bundle contains the belongings of the deceased man, which serve as a focal point for discussion among the characters regarding value and morality.""The Bundle contains the belongings of the deceased man, which serve as a focal point for discussion among the characters regarding value and morality.""The Bundle refers to the collection of stolen items brought by the characters to Old Joe\'s shop for appraisal, symbolizing their actions post-death.""The Bundle refers to the collection of stolen items that the characters present to Old Joe for appraisal.""The Bundle refers to the collection of stolen items brought by the characters to Old Joe\'s shop for appraisal, symbolizing their actions post-death.""The Bundle refers to the collection of stolen items brought by the characters to Old Joe\'s shop for appraisal, symbolizing their actions post-death."', 'source_id': 'chunk-60fc063c79fc0d4acc91a57e79de04dcchunk-e1f29eeadc1d8ab46dc8a0bbd3c56b64'} -2024-10-30 05:53:25,751 - lightrag - INFO - get_node:query:MATCH (n:`THE DEATH`) RETURN n:result: -2024-10-30 05:53:25,899 - lightrag - INFO - _do_upsert:query: - MERGE (n:`THE DEATH`) - SET n += $properties - RETURN n - :result:{'entity_type': '"EVENT"', 'description': '"The Death signifies the passing of a man whose belongings are being appraised, influencing the motivations and actions of the characters."', 'source_id': 'chunk-60fc063c79fc0d4acc91a57e79de04dc'} -2024-10-30 05:53:26,032 - lightrag - INFO - get_node:query:MATCH (n:`THE STOLEN GOODS`) RETURN n:result: -2024-10-30 05:53:26,166 - lightrag - INFO - _do_upsert:query: - MERGE (n:`THE STOLEN GOODS`) - SET n += $properties - RETURN n - :result:{'entity_type': '"EVENT"', 'description': '"The Stolen Goods are the items that the characters bring to Old Joe for evaluation, highlighting their moral stance and the circumstances surrounding the death."', 'source_id': 'chunk-60fc063c79fc0d4acc91a57e79de04dc'} -2024-10-30 05:53:26,291 - lightrag - INFO - get_node:query:MATCH (n:`THE ACCUSATION`) RETURN n:result: -2024-10-30 05:53:26,428 - lightrag - INFO - _do_upsert:query: - MERGE (n:`THE ACCUSATION`) - SET n += $properties - RETURN n - :result:{'entity_type': '"EVENT"', 'description': '"The Accusation refers to the implied judgement of the deceased\'s character that the characters discuss while evaluating their actions."', 'source_id': 'chunk-60fc063c79fc0d4acc91a57e79de04dc'} -2024-10-30 05:53:26,555 - lightrag - INFO - get_node:query:MATCH (n:`THE PARLOUR`) RETURN n:result: -2024-10-30 05:53:26,690 - lightrag - INFO - _do_upsert:query: - MERGE (n:`THE PARLOUR`) - SET n += $properties - RETURN n - :result:{'entity_type': '"LOCATION"', 'description': '"The Parlour is the private space behind the shop curtain where the characters engage in conversation and appraisal, symbolizing a shift from public to private."', 'source_id': 'chunk-60fc063c79fc0d4acc91a57e79de04dc'} -2024-10-30 05:53:26,819 - lightrag - INFO - get_node:query:MATCH (n:`THE RAGS`) RETURN n:result: -2024-10-30 05:53:26,954 - lightrag - INFO - _do_upsert:query: - MERGE (n:`THE RAGS`) - SET n += $properties - RETURN n - :result:{'entity_type': '"CONCEPT"', 'description': '"The Rags serve as a metaphor for the characters\' grim circumstances and the societal implications of their gathering, accentuating the theme of decay and neglect."', 'source_id': 'chunk-60fc063c79fc0d4acc91a57e79de04dc'} -2024-10-30 05:53:27,082 - lightrag - INFO - get_node:query:MATCH (n:`THE COLD AIR`) RETURN n:result: -2024-10-30 05:53:27,217 - lightrag - INFO - _do_upsert:query: - MERGE (n:`THE COLD AIR`) - SET n += $properties - RETURN n - :result:{'entity_type': '"CONCEPT"', 'description': '"The Cold Air symbolizes the harsh realities surrounding the characters and their actions, emphasizing the atmosphere of deprivation."', 'source_id': 'chunk-60fc063c79fc0d4acc91a57e79de04dc'} -2024-10-30 05:53:27,345 - lightrag - INFO - get_node:query:MATCH (n:`JUDGMENT`) RETURN n:result: -2024-10-30 05:53:27,481 - lightrag - INFO - _do_upsert:query: - MERGE (n:`JUDGMENT`) - SET n += $properties - RETURN n - :result:{'entity_type': '"CONCEPT"', 'description': '"Judgment here refers to the characters\' reflections on morality regarding their actions after the death, questioning societal norms and individual ethics."', 'source_id': 'chunk-60fc063c79fc0d4acc91a57e79de04dc'} -2024-10-30 05:53:27,611 - lightrag - INFO - get_node:query:MATCH (n:`THE LAUGHTER`) RETURN n:result: -2024-10-30 05:53:27,742 - lightrag - INFO - _do_upsert:query: - MERGE (n:`THE LAUGHTER`) - SET n += $properties - RETURN n - :result:{'entity_type': '"EVENT"', 'description': '"The Laughter represents a shared moment among the characters that highlights their camaraderie in the struggle against their grim realities."', 'source_id': 'chunk-60fc063c79fc0d4acc91a57e79de04dc'} -2024-10-30 05:53:27,911 - lightrag - INFO - get_node:query:MATCH (n:`THE DECEASED MAN`) RETURN n:result: -2024-10-30 05:53:28,044 - lightrag - INFO - _do_upsert:query: - MERGE (n:`THE DECEASED MAN`) - SET n += $properties - RETURN n - :result:{'entity_type': '"PERSON"', 'description': '"The Deceased Man is a character whose belongings are being discussed and whose death prompts reactions of horror and contemplation from Scrooge."', 'source_id': 'chunk-e1f29eeadc1d8ab46dc8a0bbd3c56b64'} -2024-10-30 05:53:28,168 - lightrag - INFO - get_node:query:MATCH (n:`DEATH`) RETURN n:result:"Death is described as a powerful force in the narrative, represented through the imagery of a cold, rigid presence and the contemplation of mortality.""Death refers to the passing of a character that triggers a range of emotions and reflections among the living, influencing their lives and relationships.""Death is depicted as a cold, inevitable force, prompting reflections on the value of life and the consequences of avarice.""Death is depicted as a cold, inevitable force, prompting reflections on the value of life and the consequences of avarice."', 'source_id': 'chunk-02baee20cc9463dbe08170a8e1043e32chunk-83ac129dc9b56f84c46760d153d68e93chunk-e1f29eeadc1d8ab46dc8a0bbd3c56b64'}> -2024-10-30 05:53:28,302 - lightrag - INFO - _do_upsert:query: - MERGE (n:`DEATH`) - SET n += $properties - RETURN n - :result:{'entity_type': '"CONCEPT"', 'description': '"Death in the story is a significant event that triggers discussion among the Businessmen and prompts Scrooge\'s reflections.""Death is described as a powerful force in the narrative, represented through the imagery of a cold, rigid presence and the contemplation of mortality.""Death refers to the passing of a character that triggers a range of emotions and reflections among the living, influencing their lives and relationships.""Death is depicted as a cold, inevitable force, prompting reflections on the value of life and the consequences of avarice.""Death is depicted as a cold, inevitable force, prompting reflections on the value of life and the consequences of avarice.""Death is depicted as a cold, inevitable force, prompting reflections on the value of life and the consequences of avarice."', 'source_id': 'chunk-02baee20cc9463dbe08170a8e1043e32chunk-83ac129dc9b56f84c46760d153d68e93chunk-e1f29eeadc1d8ab46dc8a0bbd3c56b64'} -2024-10-30 05:53:28,429 - lightrag - INFO - get_node:query:MATCH (n:`THE BED`) RETURN n:result:"The Bed represents a significant scene where the deceased man\'s body is laid, evoking deep emotions and realizations about life and morality.""The Bed represents a significant scene where the deceased man\'s body is laid, evoking deep emotions and realizations about life and morality."', 'source_id': 'chunk-e1f29eeadc1d8ab46dc8a0bbd3c56b64'}> -2024-10-30 05:53:28,563 - lightrag - INFO - _do_upsert:query: - MERGE (n:`THE BED`) - SET n += $properties - RETURN n - :result:{'entity_type': '"EVENT"', 'description': '"The Bed represents a central object in the scene, symbolizing the final resting place of The Deceased and contributing to the themes of mortality and neglect.""The Bed represents a significant scene where the deceased man\'s body is laid, evoking deep emotions and realizations about life and morality.""The Bed represents a significant scene where the deceased man\'s body is laid, evoking deep emotions and realizations about life and morality.""The Bed represents a significant scene where the deceased man\'s body is laid, evoking deep emotions and realizations about life and morality."', 'source_id': 'chunk-e1f29eeadc1d8ab46dc8a0bbd3c56b64'} -2024-10-30 05:53:28,695 - lightrag - INFO - get_node:query:MATCH (n:`THE BLANKETS`) RETURN n:result:"The Blankets are associated with the deceased man\'s body, symbolizing care and the human connection to the dead.""The Blankets are discussed in the context of the deceased\'s possessions, highlighting themes of care and abandonment after death."', 'source_id': 'chunk-e1f29eeadc1d8ab46dc8a0bbd3c56b64'}> -2024-10-30 05:53:28,824 - lightrag - INFO - _do_upsert:query: - MERGE (n:`THE BLANKETS`) - SET n += $properties - RETURN n - :result:{'entity_type': '"CONCEPT"', 'description': '"The Blankets are associated with the deceased man\'s body, symbolizing care and the human connection to the dead.""The Blankets are associated with the deceased man\'s body, symbolizing care and the human connection to the dead.""The Blankets are associated with the deceased man\'s body, symbolizing care and the human connection to the dead.""The Blankets are discussed in the context of the deceased\'s possessions, highlighting themes of care and abandonment after death."', 'source_id': 'chunk-e1f29eeadc1d8ab46dc8a0bbd3c56b64'} -2024-10-30 05:53:28,950 - lightrag - INFO - get_node:query:MATCH (n:`THE OIL`) RETURN n:result: -2024-10-30 05:53:29,085 - lightrag - INFO - _do_upsert:query: - MERGE (n:`THE OIL`) - SET n += $properties - RETURN n - :result:{'entity_type': '"CONCEPT"', 'description': '"The Oil is a material that the woman is cautious about spilling, representing the practical and sometimes distasteful attitude towards the deceased\'s belongings."', 'source_id': 'chunk-e1f29eeadc1d8ab46dc8a0bbd3c56b64'} -2024-10-30 05:53:29,209 - lightrag - INFO - get_node:query:MATCH (n:`THE SHIRT`) RETURN n:result: -2024-10-30 05:53:29,345 - lightrag - INFO - _do_upsert:query: - MERGE (n:`THE SHIRT`) - SET n += $properties - RETURN n - :result:{'entity_type': '"CONCEPT"', 'description': '"The Shirt belonged to the deceased man and is evaluated by the woman who claims it is in good condition, further emphasizing her pragmatic approach to death."', 'source_id': 'chunk-e1f29eeadc1d8ab46dc8a0bbd3c56b64'} -2024-10-30 05:53:29,472 - lightrag - INFO - get_node:query:MATCH (n:`THE FLANNEL BAG`) RETURN n:result:"The Flannel Bag is used by Joe to show the money gained from their dealings with the deceased, highlighting the theme of profit from death.""The Flannel Bag is used by Joe to show the money gained from their dealings with the deceased, highlighting the theme of profit from death."', 'source_id': 'chunk-e1f29eeadc1d8ab46dc8a0bbd3c56b64'}> -2024-10-30 05:53:29,608 - lightrag - INFO - _do_upsert:query: - MERGE (n:`THE FLANNEL BAG`) - SET n += $properties - RETURN n - :result:{'entity_type': '"CONCEPT"', 'description': '"The Flannel Bag contains money and symbolizes the materialistic aspects of life and the relationships surrounding The Deceased’s possessions.""The Flannel Bag is used by Joe to show the money gained from their dealings with the deceased, highlighting the theme of profit from death.""The Flannel Bag is used by Joe to show the money gained from their dealings with the deceased, highlighting the theme of profit from death.""The Flannel Bag is used by Joe to show the money gained from their dealings with the deceased, highlighting the theme of profit from death."', 'source_id': 'chunk-e1f29eeadc1d8ab46dc8a0bbd3c56b64'} -2024-10-30 05:53:29,735 - lightrag - INFO - get_node:query:MATCH (n:`OLD MAN'S LAMP`) RETURN n:result: -2024-10-30 05:53:29,866 - lightrag - INFO - _do_upsert:query: - MERGE (n:`OLD MAN'S LAMP`) - SET n += $properties - RETURN n - :result:{'entity_type': '"CONCEPT"', 'description': '"The Old Man\'s Lamp provides scant light in the scene, contributing to the mood of tension and eeriness surrounding the deceased."', 'source_id': 'chunk-e1f29eeadc1d8ab46dc8a0bbd3c56b64'} -2024-10-30 05:53:29,994 - lightrag - INFO - get_node:query:MATCH (n:`THE CORPSE`) RETURN n:result: -2024-10-30 05:53:30,121 - lightrag - INFO - _do_upsert:query: - MERGE (n:`THE CORPSE`) - SET n += $properties - RETURN n - :result:{'entity_type': '"PERSON"', 'description': '"The Corpse represents the deceased man whose belongings are being discussed, serving as a stark reminder of mortality."', 'source_id': 'chunk-e1f29eeadc1d8ab46dc8a0bbd3c56b64'} -2024-10-30 05:53:30,247 - lightrag - INFO - get_node:query:MATCH (n:`THE DARK ROOM`) RETURN n:result:"The Dark Room is where the corpse lies, symbolizing isolation and the lack of care for the deceased.""The Dark Room serves as the setting for the scene, enhancing the atmosphere of dread and the theme of impending death."', 'source_id': 'chunk-e1f29eeadc1d8ab46dc8a0bbd3c56b64'}> -2024-10-30 05:53:30,383 - lightrag - INFO - _do_upsert:query: - MERGE (n:`THE DARK ROOM`) - SET n += $properties - RETURN n - :result:{'entity_type': '"GEO"', 'description': '"The Dark Room is where the corpse lies, symbolizing isolation and the lack of care for the deceased.""The Dark Room is where the corpse lies, symbolizing isolation and the lack of care for the deceased.""The Dark Room is where the corpse lies, symbolizing isolation and the lack of care for the deceased.""The Dark Room serves as the setting for the scene, enhancing the atmosphere of dread and the theme of impending death."', 'source_id': 'chunk-e1f29eeadc1d8ab46dc8a0bbd3c56b64'} -2024-10-30 05:53:30,512 - lightrag - INFO - get_node:query:MATCH (n:`CAROLINE`) RETURN n:result:"Caroline is portrayed as a mother filled with hope and emotion regarding her husband’s situation, revealing her character through her reactions to news.""Caroline is portrayed as a mother filled with hope and emotion regarding her husband’s situation, revealing her character through her reactions to news."', 'source_id': 'chunk-83ac129dc9b56f84c46760d153d68e93'}> -2024-10-30 05:53:30,648 - lightrag - INFO - _do_upsert:query: - MERGE (n:`CAROLINE`) - SET n += $properties - RETURN n - :result:{'entity_type': '"PERSON"', 'description': '"Caroline is a character representing hope and emotional depth, reacting to her husband\'s news about their financial situation with a mixture of dread and optimism.""Caroline is portrayed as a mother filled with hope and emotion regarding her husband’s situation, revealing her character through her reactions to news.""Caroline is portrayed as a mother filled with hope and emotion regarding her husband’s situation, revealing her character through her reactions to news.""Caroline is portrayed as a mother filled with hope and emotion regarding her husband’s situation, revealing her character through her reactions to news."', 'source_id': 'chunk-83ac129dc9b56f84c46760d153d68e93'} -2024-10-30 05:53:30,777 - lightrag - INFO - get_node:query:MATCH (n:`THE CRATCHIT HOUSE`) RETURN n:result: -2024-10-30 05:53:30,907 - lightrag - INFO - _do_upsert:query: - MERGE (n:`THE CRATCHIT HOUSE`) - SET n += $properties - RETURN n - :result:{'entity_type': '"ORGANIZATION"', 'description': '"The Cratchit House symbolizes a place of familial connection and warmth, despite the hardships faced by its inhabitants."', 'source_id': 'chunk-83ac129dc9b56f84c46760d153d68e93'} -2024-10-30 05:53:31,038 - lightrag - INFO - get_node:query:MATCH (n:`THE EVENT OF DEATH`) RETURN n:result: -2024-10-30 05:53:31,167 - lightrag - INFO - _do_upsert:query: - MERGE (n:`THE EVENT OF DEATH`) - SET n += $properties - RETURN n - :result:{'entity_type': '"EVENT"', 'description': '"The Event of Death signifies a pivotal moment affecting the characters, transitioning their emotional state and family dynamics."', 'source_id': 'chunk-83ac129dc9b56f84c46760d153d68e93'} -2024-10-30 05:53:31,295 - lightrag - INFO - get_node:query:MATCH (n:`THE HUSBAND`) RETURN n:result: -2024-10-30 05:53:31,431 - lightrag - INFO - _do_upsert:query: - MERGE (n:`THE HUSBAND`) - SET n += $properties - RETURN n - :result:{'entity_type': '"PERSON"', 'description': '"The Husband is depicted as a careworn man, bringing news that impacts his family\'s emotional state, symbolizing the struggle between hope and despair."', 'source_id': 'chunk-83ac129dc9b56f84c46760d153d68e93'} -2024-10-30 05:53:31,559 - lightrag - INFO - get_node:query:MATCH (n:`PETER`) RETURN n:result:"Peter is one of the Cratchit children, who occasionally expresses a sense of duty and future aspirations, contributing to family discussions.""Peter is a son in the Cratchit family, responsible and calm, attempting to engage his siblings amidst a tense family situation and financial uncertainty.""Peter is the son of Bob and Mrs. Cratchit, showing concern and support for his father and siblings.""Peter is a son in the Cratchit family, responsible and calm, attempting to engage his siblings amidst a tense family situation and financial uncertainty.""Peter is the son of Bob and Mrs. Cratchit, showing concern and support for his father and siblings."', 'source_id': 'chunk-1d4b58de5429cd1261370c231c8673e8chunk-83ac129dc9b56f84c46760d153d68e93'}> -2024-10-30 05:53:31,694 - lightrag - INFO - _do_upsert:query: - MERGE (n:`PETER`) - SET n += $properties - RETURN n - :result:{'entity_type': '"PERSON"', 'description': '"Peter is a member of the Cratchit family, characterized by his quiet demeanor while being engaged in reading, representing the next generation\'s concern.""Peter is one of the Cratchit children, who occasionally expresses a sense of duty and future aspirations, contributing to family discussions.""Peter is a son in the Cratchit family, responsible and calm, attempting to engage his siblings amidst a tense family situation and financial uncertainty.""Peter is the son of Bob and Mrs. Cratchit, showing concern and support for his father and siblings.""Peter is a son in the Cratchit family, responsible and calm, attempting to engage his siblings amidst a tense family situation and financial uncertainty.""Peter is the son of Bob and Mrs. Cratchit, showing concern and support for his father and siblings.""Peter is a son in the Cratchit family, responsible and calm, attempting to engage his siblings amidst a tense family situation and financial uncertainty.""Peter is the son of Bob and Mrs. Cratchit, showing concern and support for his father and siblings."', 'source_id': 'chunk-1d4b58de5429cd1261370c231c8673e8chunk-83ac129dc9b56f84c46760d153d68e93'} -2024-10-30 05:53:31,823 - lightrag - INFO - get_node:query:MATCH (n:`THE DEBT`) RETURN n:result: -2024-10-30 05:53:31,955 - lightrag - INFO - _do_upsert:query: - MERGE (n:`THE DEBT`) - SET n += $properties - RETURN n - :result:{'entity_type': '"CONCEPT"', 'description': '"The Debt symbolizes the financial burdens faced by the Cratchit family, a source of anxiety and tension impacting their morale and outlook."', 'source_id': 'chunk-83ac129dc9b56f84c46760d153d68e93'} -2024-10-30 05:53:32,083 - lightrag - INFO - get_node:query:MATCH (n:`MR. SCROOGE'S NEPHEW`) RETURN n:result:"Mr. Scrooge\'s Nephew is a kind gentleman who expresses sympathy for Bob Cratchit and offers help, reflecting goodwill.""Mr. Scrooge\'s Nephew is a kind gentleman who shows concern for Bob Cratchit and offers support, symbolizing generosity and compassion."', 'source_id': 'chunk-1d4b58de5429cd1261370c231c8673e8'}> -2024-10-30 05:53:32,214 - lightrag - INFO - _do_upsert:query: - MERGE (n:`MR. SCROOGE'S NEPHEW`) - SET n += $properties - RETURN n - :result:{'entity_type': '"PERSON"', 'description': '"Mr. Scrooge\'s Nephew is a kind gentleman who expresses sympathy for Bob Cratchit and offers help, reflecting goodwill.""Mr. Scrooge\'s Nephew is a kind gentleman who expresses sympathy for Bob Cratchit and offers help, reflecting goodwill.""Mr. Scrooge\'s Nephew is a kind gentleman who expresses sympathy for Bob Cratchit and offers help, reflecting goodwill.""Mr. Scrooge\'s Nephew is a kind gentleman who shows concern for Bob Cratchit and offers support, symbolizing generosity and compassion."', 'source_id': 'chunk-1d4b58de5429cd1261370c231c8673e8'} -2024-10-30 05:53:32,343 - lightrag - INFO - get_node:query:MATCH (n:`THE TWO YOUNG CRATCHITS`) RETURN n:result:"The Two Young Cratchits are siblings who show affection for their father, demonstrating the innocence and unity of childhood.""The Two Young Cratchits are the younger children in the Cratchit family, who express affection towards their father, Bob."', 'source_id': 'chunk-1d4b58de5429cd1261370c231c8673e8'}> -2024-10-30 05:53:32,477 - lightrag - INFO - _do_upsert:query: - MERGE (n:`THE TWO YOUNG CRATCHITS`) - SET n += $properties - RETURN n - :result:{'entity_type': '"PERSON"', 'description': '"The Two Young Cratchits are siblings who show affection for their father, demonstrating the innocence and unity of childhood.""The Two Young Cratchits are siblings who show affection for their father, demonstrating the innocence and unity of childhood.""The Two Young Cratchits are siblings who show affection for their father, demonstrating the innocence and unity of childhood.""The Two Young Cratchits are the younger children in the Cratchit family, who express affection towards their father, Bob."', 'source_id': 'chunk-1d4b58de5429cd1261370c231c8673e8'} -2024-10-30 05:53:32,605 - lightrag - INFO - get_node:query:MATCH (n:`THE TABLE`) RETURN n:result: -2024-10-30 05:53:32,739 - lightrag - INFO - _do_upsert:query: - MERGE (n:`THE TABLE`) - SET n += $properties - RETURN n - :result:{'entity_type': '"GEO"', 'description': '"The Table is where the Cratchit family gathers, representing their domestic life and togetherness."', 'source_id': 'chunk-1d4b58de5429cd1261370c231c8673e8'} -2024-10-30 05:53:32,867 - lightrag - INFO - get_node:query:MATCH (n:`THE ROOM ABOVE`) RETURN n:result: -2024-10-30 05:53:32,999 - lightrag - INFO - _do_upsert:query: - MERGE (n:`THE ROOM ABOVE`) - SET n += $properties - RETURN n - :result:{'entity_type': '"GEO"', 'description': '"The Room Above is a space in the Cratchit household which is illuminated cheerfully, suggesting a haven despite their hardships."', 'source_id': 'chunk-1d4b58de5429cd1261370c231c8673e8'} -2024-10-30 05:53:33,123 - lightrag - INFO - get_node:query:MATCH (n:`THE GHOST OF CHRISTMAS YET TO COME`) RETURN n:result:"The Ghost of Christmas Yet to Come is a spirit that shows Scrooge the consequences of his actions, pointing toward his eventual demise.""The Ghost of Christmas Yet to Come reveals the potential consequences of Scrooge\'s current life choices, emphasizing themes of mortality and legacy.""The Ghost of Christmas Yet to Come is a spirit that shows Scrooge the consequences of his actions, pointing toward his eventual demise.""The Ghost of Christmas Yet to Come reveals the potential consequences of Scrooge\'s current life choices, emphasizing themes of mortality and legacy."', 'source_id': 'chunk-90b95db5c53e4364a6bee36b7aa4d70fchunk-91572b3cd42786ba4cb2f180ca25cbf4'}> -2024-10-30 05:53:33,258 - lightrag - INFO - _do_upsert:query: - MERGE (n:`THE GHOST OF CHRISTMAS YET TO COME`) - SET n += $properties - RETURN n - :result:{'entity_type': '"ORGANIZATION"', 'description': '"The Ghost of Christmas Yet to Come is a spectral being that guides Scrooge through visions of his potential future.""The Ghost of Christmas Yet to Come is a spirit that shows Scrooge the consequences of his actions, pointing toward his eventual demise.""The Ghost of Christmas Yet to Come reveals the potential consequences of Scrooge\'s current life choices, emphasizing themes of mortality and legacy.""The Ghost of Christmas Yet to Come is a spirit that shows Scrooge the consequences of his actions, pointing toward his eventual demise.""The Ghost of Christmas Yet to Come reveals the potential consequences of Scrooge\'s current life choices, emphasizing themes of mortality and legacy.""The Ghost of Christmas Yet to Come is a spirit that shows Scrooge the consequences of his actions, pointing toward his eventual demise.""The Ghost of Christmas Yet to Come reveals the potential consequences of Scrooge\'s current life choices, emphasizing themes of mortality and legacy."', 'source_id': 'chunk-90b95db5c53e4364a6bee36b7aa4d70fchunk-91572b3cd42786ba4cb2f180ca25cbf4'} -2024-10-30 05:53:33,386 - lightrag - INFO - get_node:query:MATCH (n:`GRAVE`) RETURN n:result: -2024-10-30 05:53:33,520 - lightrag - INFO - _do_upsert:query: - MERGE (n:`GRAVE`) - SET n += $properties - RETURN n - :result:{'entity_type': '"GEO"', 'description': '"The Grave represents a place where Scrooge\'s future self lies, symbolizing death and the consequences of a life unexamined."', 'source_id': 'chunk-91572b3cd42786ba4cb2f180ca25cbf4'} -2024-10-30 05:53:33,648 - lightrag - INFO - get_node:query:MATCH (n:`THE GRAVESTONE`) RETURN n:result: -2024-10-30 05:53:33,781 - lightrag - INFO - _do_upsert:query: - MERGE (n:`THE GRAVESTONE`) - SET n += $properties - RETURN n - :result:{'entity_type': '"GEO"', 'description': '"The Gravestone bears Scrooge\'s name and symbolizes mortality and the legacy of his actions during his lifetime."', 'source_id': 'chunk-91572b3cd42786ba4cb2f180ca25cbf4'} -2024-10-30 05:53:33,906 - lightrag - INFO - get_node:query:MATCH (n:`THE FUTURE`) RETURN n:result:"The Future represents the potential outcomes of Scrooge’s life choices, depicted through the visions shown by the Spirits.""The Future refers to the outcomes that Scrooge may face based on his current actions, raising themes of choice and consequence.""The Future refers to the outcomes that Scrooge may face based on his current actions, raising themes of choice and consequence."', 'source_id': 'chunk-91572b3cd42786ba4cb2f180ca25cbf4chunk-02baee20cc9463dbe08170a8e1043e32'}> -2024-10-30 05:53:34,036 - lightrag - INFO - _do_upsert:query: - MERGE (n:`THE FUTURE`) - SET n += $properties - RETURN n - :result:{'entity_type': '"CONCEPT"', 'description': '"The Future is represented as a realm of possibility and consequence that concerns Scrooge\'s fate and choices.""The Future represents the potential outcomes of Scrooge’s life choices, depicted through the visions shown by the Spirits.""The Future refers to the outcomes that Scrooge may face based on his current actions, raising themes of choice and consequence.""The Future refers to the outcomes that Scrooge may face based on his current actions, raising themes of choice and consequence.""The Future refers to the outcomes that Scrooge may face based on his current actions, raising themes of choice and consequence."', 'source_id': 'chunk-91572b3cd42786ba4cb2f180ca25cbf4chunk-02baee20cc9463dbe08170a8e1043e32'} -2024-10-30 05:53:34,165 - lightrag - INFO - get_node:query:MATCH (n:`THE PAST`) RETURN n:result:"The Past reflects on Scrooge\'s earlier life choices and experiences that shaped who he has become.""The Past reflects on Scrooge\'s earlier life choices and experiences that shaped who he has become."', 'source_id': 'chunk-91572b3cd42786ba4cb2f180ca25cbf4'}> -2024-10-30 05:53:34,299 - lightrag - INFO - _do_upsert:query: - MERGE (n:`THE PAST`) - SET n += $properties - RETURN n - :result:{'entity_type': '"CONCEPT"', 'description': '"The Past is a concept that reflects Scrooge\'s memories and previous actions that influence his current state and future decisions.""The Past reflects on Scrooge\'s earlier life choices and experiences that shaped who he has become.""The Past reflects on Scrooge\'s earlier life choices and experiences that shaped who he has become.""The Past reflects on Scrooge\'s earlier life choices and experiences that shaped who he has become."', 'source_id': 'chunk-91572b3cd42786ba4cb2f180ca25cbf4'} -2024-10-30 05:53:34,432 - lightrag - INFO - get_node:query:MATCH (n:`THE PRESENT`) RETURN n:result:"The Present emphasizes the importance of living in the moment and embracing current opportunities for change.""The Present represents the current moment in Scrooge\'s life that he must recognize and change to achieve redemption."', 'source_id': 'chunk-91572b3cd42786ba4cb2f180ca25cbf4'}> -2024-10-30 05:53:34,564 - lightrag - INFO - _do_upsert:query: - MERGE (n:`THE PRESENT`) - SET n += $properties - RETURN n - :result:{'entity_type': '"CONCEPT"', 'description': '"The Present emphasizes the importance of living in the moment and embracing current opportunities for change.""The Present emphasizes the importance of living in the moment and embracing current opportunities for change.""The Present emphasizes the importance of living in the moment and embracing current opportunities for change.""The Present represents the current moment in Scrooge\'s life that he must recognize and change to achieve redemption."', 'source_id': 'chunk-91572b3cd42786ba4cb2f180ca25cbf4'} -2024-10-30 05:53:34,698 - lightrag - INFO - get_node:query:MATCH (n:`THE POULTERER'S`) RETURN n:result:"The Poulterer\'s is a shop mentioned by Scrooge, relevant in the context of his generous actions towards the Cratchit family.""The Poulterer\'s is a shop where Scrooge intends to buy a turkey for the Cratchit family."', 'source_id': 'chunk-90b95db5c53e4364a6bee36b7aa4d70f'}> -2024-10-30 05:53:34,833 - lightrag - INFO - _do_upsert:query: - MERGE (n:`THE POULTERER'S`) - SET n += $properties - RETURN n - :result:{'entity_type': '"ORGANIZATION"', 'description': '"The Poulterer\'s is a shop mentioned by Scrooge, relevant in the context of his generous actions towards the Cratchit family.""The Poulterer\'s is a shop mentioned by Scrooge, relevant in the context of his generous actions towards the Cratchit family.""The Poulterer\'s is a shop mentioned by Scrooge, relevant in the context of his generous actions towards the Cratchit family.""The Poulterer\'s is a shop where Scrooge intends to buy a turkey for the Cratchit family."', 'source_id': 'chunk-90b95db5c53e4364a6bee36b7aa4d70f'} -2024-10-30 05:53:34,962 - lightrag - INFO - get_node:query:MATCH (n:`THE SPIRITS`) RETURN n:result:"The Spirits represent the past, present, and future in Scrooge\'s life, guiding him toward redemption and self-reflection.""The Spirits represent the forces that guide Scrooge towards his transformation and are instrumental in his journey of redemption.""The Spirits represent the forces that guide Scrooge towards his transformation and are instrumental in his journey of redemption."', 'source_id': 'chunk-90b95db5c53e4364a6bee36b7aa4d70fchunk-cb661c37436355ccec2769b1d0350c5f'}> -2024-10-30 05:53:35,106 - lightrag - INFO - _do_upsert:query: - MERGE (n:`THE SPIRITS`) - SET n += $properties - RETURN n - :result:{'entity_type': '"CONCEPT"', 'description': '"The Spirits collectively represent the supernatural forces that seek to guide and teach Scrooge about the impact of his life choices.""The Spirits represent the past, present, and future in Scrooge\'s life, guiding him toward redemption and self-reflection.""The Spirits represent the forces that guide Scrooge towards his transformation and are instrumental in his journey of redemption.""The Spirits represent the forces that guide Scrooge towards his transformation and are instrumental in his journey of redemption.""The Spirits represent the forces that guide Scrooge towards his transformation and are instrumental in his journey of redemption."', 'source_id': 'chunk-90b95db5c53e4364a6bee36b7aa4d70fchunk-cb661c37436355ccec2769b1d0350c5f'} -2024-10-30 05:53:35,235 - lightrag - INFO - get_node:query:MATCH (n:`THE GHOST OF CHRISTMAS PRESENT`) RETURN n:result:"The Ghost of Christmas Present is a supernatural being that shows Scrooge the true spirit of Christmas, including kindness towards the poor.""The Ghost of Christmas Present signifies abundance and the spirit of joy that Scrooge is encouraged to embrace.""The Ghost of Christmas Present is one of the spirits that help Scrooge understand the importance of generosity and compassion during the festive season.""The Ghost of Christmas Present is one of the spirits that help Scrooge understand the importance of generosity and compassion during the festive season."', 'source_id': 'chunk-90b95db5c53e4364a6bee36b7aa4d70fchunk-43c9bee23adfa77aa9dedd22401bba7dchunk-b0f459f5af1c3a5e0b92cbe4ee48b77b'}> -2024-10-30 05:53:35,372 - lightrag - INFO - _do_upsert:query: - MERGE (n:`THE GHOST OF CHRISTMAS PRESENT`) - SET n += $properties - RETURN n - :result:{'entity_type': '"PERSON"', 'description': '"The Ghost of Christmas Present is a spirit that guides Scrooge through his memories and the joy of the present Christmas celebration.""The Ghost of Christmas Present is a supernatural being that shows Scrooge the true spirit of Christmas, including kindness towards the poor.""The Ghost of Christmas Present signifies abundance and the spirit of joy that Scrooge is encouraged to embrace.""The Ghost of Christmas Present is one of the spirits that help Scrooge understand the importance of generosity and compassion during the festive season.""The Ghost of Christmas Present is one of the spirits that help Scrooge understand the importance of generosity and compassion during the festive season.""The Ghost of Christmas Present is one of the spirits that help Scrooge understand the importance of generosity and compassion during the festive season."', 'source_id': 'chunk-90b95db5c53e4364a6bee36b7aa4d70fchunk-43c9bee23adfa77aa9dedd22401bba7dchunk-b0f459f5af1c3a5e0b92cbe4ee48b77b'} -2024-10-30 05:53:35,504 - lightrag - INFO - get_node:query:MATCH (n:`THE CHRISTMAS DINNER`) RETURN n:result: -2024-10-30 05:53:35,644 - lightrag - INFO - _do_upsert:query: - MERGE (n:`THE CHRISTMAS DINNER`) - SET n += $properties - RETURN n - :result:{'entity_type': '"EVENT"', 'description': '"The Christmas Dinner signifies the gathering of the Cratchit family, highlighting themes of togetherness and the warmth of family during the holiday season."', 'source_id': 'chunk-90b95db5c53e4364a6bee36b7aa4d70f'} -2024-10-30 05:53:35,775 - lightrag - INFO - get_node:query:MATCH (n:`THE STREET`) RETURN n:result:"The Street is the setting where Scrooge interacts with the boy and demonstrates his newfound generosity after his transformation.""The Street is where Mr. Scrooge\'s Nephew encounters Bob Cratchit, facilitating a significant moment of kindness in the narrative.""The Street represents the setting where Scrooge interacts with various characters and experiences joy, emphasizing the festive atmosphere.""The Street represents the setting where Scrooge interacts with various characters and experiences joy, emphasizing the festive atmosphere."', 'source_id': 'chunk-90b95db5c53e4364a6bee36b7aa4d70fchunk-8f738cb25d60a7dab782162d9d0a25edchunk-1d4b58de5429cd1261370c231c8673e8'}> -2024-10-30 05:53:35,906 - lightrag - INFO - _do_upsert:query: - MERGE (n:`THE STREET`) - SET n += $properties - RETURN n - :result:{'entity_type': '"GEO"', 'description': '"The Street is the setting where Scrooge interacts with the boy and demonstrates his newfound generosity after his transformation.""The Street is the setting where Scrooge interacts with the boy and demonstrates his newfound generosity after his transformation.""The Street is the setting where Scrooge interacts with the boy and demonstrates his newfound generosity after his transformation.""The Street is where Mr. Scrooge\'s Nephew encounters Bob Cratchit, facilitating a significant moment of kindness in the narrative.""The Street represents the setting where Scrooge interacts with various characters and experiences joy, emphasizing the festive atmosphere.""The Street represents the setting where Scrooge interacts with various characters and experiences joy, emphasizing the festive atmosphere.""The Street represents the setting where Scrooge interacts with various characters and experiences joy, emphasizing the festive atmosphere."', 'source_id': 'chunk-90b95db5c53e4364a6bee36b7aa4d70fchunk-8f738cb25d60a7dab782162d9d0a25edchunk-1d4b58de5429cd1261370c231c8673e8'} -2024-10-30 05:53:36,038 - lightrag - INFO - get_node:query:MATCH (n:`THE BOY`) RETURN n:result:"The Boy is a young messenger who interacts with Scrooge during his purchase of the turkey.""The Boy represents innocence and curiosity, serving as a catalyst for Scrooge\'s generous act by purchasing the turkey.""The Boy represents innocence and curiosity, serving as a catalyst for Scrooge\'s generous act by purchasing the turkey."', 'source_id': 'chunk-90b95db5c53e4364a6bee36b7aa4d70fchunk-8f738cb25d60a7dab782162d9d0a25edchunk-8bc1edd983869352d14cf0886a9175a7'}> -2024-10-30 05:53:36,171 - lightrag - INFO - _do_upsert:query: - MERGE (n:`THE BOY`) - SET n += $properties - RETURN n - :result:{'entity_type': '"PERSON"', 'description': '"The Boy is a character mentioned briefly, who tries to hide behind another girl, indicating shyness among the festive crowd.""The Boy is a young messenger who interacts with Scrooge during his purchase of the turkey.""The Boy represents innocence and curiosity, serving as a catalyst for Scrooge\'s generous act by purchasing the turkey.""The Boy represents innocence and curiosity, serving as a catalyst for Scrooge\'s generous act by purchasing the turkey.""The Boy represents innocence and curiosity, serving as a catalyst for Scrooge\'s generous act by purchasing the turkey."', 'source_id': 'chunk-90b95db5c53e4364a6bee36b7aa4d70fchunk-8f738cb25d60a7dab782162d9d0a25edchunk-8bc1edd983869352d14cf0886a9175a7'} -2024-10-30 05:53:36,300 - lightrag - INFO - get_node:query:MATCH (n:`THE TURKEY`) RETURN n:result:"The Turkey represents a key symbol of generosity and festivity during Christmas, as Scrooge purchases it to spread joy.""The Turkey symbolizes the generosity and festive spirit that Scrooge embraces following his transformation.""The Turkey represents a key symbol of generosity and festivity during Christmas, as Scrooge purchases it to spread joy.""The Turkey symbolizes the generosity and festive spirit that Scrooge embraces following his transformation."', 'source_id': 'chunk-90b95db5c53e4364a6bee36b7aa4d70fchunk-8f738cb25d60a7dab782162d9d0a25ed'}> -2024-10-30 05:53:36,431 - lightrag - INFO - _do_upsert:query: - MERGE (n:`THE TURKEY`) - SET n += $properties - RETURN n - :result:{'entity_type': '"EVENT"', 'description': '"The Turkey is a large bird that Scrooge has humorously commented on sending to Bob, symbolizing generosity and Christmas spirit.""The Turkey represents a key symbol of generosity and festivity during Christmas, as Scrooge purchases it to spread joy.""The Turkey symbolizes the generosity and festive spirit that Scrooge embraces following his transformation.""The Turkey represents a key symbol of generosity and festivity during Christmas, as Scrooge purchases it to spread joy.""The Turkey symbolizes the generosity and festive spirit that Scrooge embraces following his transformation.""The Turkey represents a key symbol of generosity and festivity during Christmas, as Scrooge purchases it to spread joy.""The Turkey symbolizes the generosity and festive spirit that Scrooge embraces following his transformation."', 'source_id': 'chunk-90b95db5c53e4364a6bee36b7aa4d70fchunk-8f738cb25d60a7dab782162d9d0a25ed'} -2024-10-30 05:53:36,567 - lightrag - INFO - get_node:query:MATCH (n:`THE OLD GENTLEMAN`) RETURN n:result: -2024-10-30 05:53:36,701 - lightrag - INFO - _do_upsert:query: - MERGE (n:`THE OLD GENTLEMAN`) - SET n += $properties - RETURN n - :result:{'entity_type': '"PERSON"', 'description': '"The Old Gentleman is a character with whom Scrooge interacts, showcasing the themes of kindness and forgiveness."', 'source_id': 'chunk-8f738cb25d60a7dab782162d9d0a25ed'} -2024-10-30 05:53:36,836 - lightrag - INFO - get_node:query:MATCH (n:`BOB`) RETURN n:result:"Bob is referenced humorously by Scrooge in the context of a joke regarding a large turkey.""Bob is likely referenced as a character who may receive the turkey sent by Scrooge, highlighting the theme of generosity.""Bob is likely referenced as a character who may receive the turkey sent by Scrooge, highlighting the theme of generosity."', 'source_id': 'chunk-8f738cb25d60a7dab782162d9d0a25edchunk-91572b3cd42786ba4cb2f180ca25cbf4'}> -2024-10-30 05:53:36,969 - lightrag - INFO - _do_upsert:query: - MERGE (n:`BOB`) - SET n += $properties - RETURN n - :result:{'entity_type': '"PERSON"', 'description': '"Bob is a character who reflects on the importance of unity and remembering Tiny Tim among his family.""Bob is referenced humorously by Scrooge in the context of a joke regarding a large turkey.""Bob is likely referenced as a character who may receive the turkey sent by Scrooge, highlighting the theme of generosity.""Bob is likely referenced as a character who may receive the turkey sent by Scrooge, highlighting the theme of generosity.""Bob is likely referenced as a character who may receive the turkey sent by Scrooge, highlighting the theme of generosity."', 'source_id': 'chunk-8f738cb25d60a7dab782162d9d0a25edchunk-91572b3cd42786ba4cb2f180ca25cbf4'} -2024-10-30 05:53:37,099 - lightrag - INFO - get_node:query:MATCH (n:`THE CAB`) RETURN n:result: -2024-10-30 05:53:37,232 - lightrag - INFO - _do_upsert:query: - MERGE (n:`THE CAB`) - SET n += $properties - RETURN n - :result:{'entity_type': '"EVENT"', 'description': '"The Cab is an event associated with transporting the turkey, illustrating the lengths to which Scrooge is willing to go to share joy."', 'source_id': 'chunk-8f738cb25d60a7dab782162d9d0a25ed'} -2024-10-30 05:53:37,361 - lightrag - INFO - get_node:query:MATCH (n:`THE KITCHEN`) RETURN n:result: -2024-10-30 05:53:37,497 - lightrag - INFO - _do_upsert:query: - MERGE (n:`THE KITCHEN`) - SET n += $properties - RETURN n - :result:{'entity_type': '"GEO"', 'description': '"The Kitchen is a location that Scrooge looks into, symbolizing warmth, family, and the spirit of hospitality during the holiday season."', 'source_id': 'chunk-8f738cb25d60a7dab782162d9d0a25ed'} -2024-10-30 05:53:37,628 - lightrag - INFO - get_node:query:MATCH (n:`MISTRESS`) RETURN n:result: -2024-10-30 05:53:37,763 - lightrag - INFO - _do_upsert:query: - MERGE (n:`MISTRESS`) - SET n += $properties - RETURN n - :result:{'entity_type': '"PERSON"', 'description': '"Mistress is referenced in relation to Fred, indicating the presence of family dynamics during the Christmas celebration."', 'source_id': 'chunk-8f738cb25d60a7dab782162d9d0a25ed'} -2024-10-30 05:53:37,917 - lightrag - INFO - get_node:query:MATCH (n:`THE FAMILY`) RETURN n:result: -2024-10-30 05:53:38,045 - lightrag - INFO - _do_upsert:query: - MERGE (n:`THE FAMILY`) - SET n += $properties - RETURN n - :result:{'entity_type': '"ORGANIZATION"', 'description': '"The Family includes Bob Cratchit and his loved ones, who represent themes of togetherness and support during Christmas."', 'source_id': 'chunk-94bea83e7153fc2064aa382b494936a1'} -2024-10-30 05:53:38,174 - lightrag - INFO - get_node:query:MATCH (n:`THE TANK`) RETURN n:result:"The Tank is the workplace setting where Bob Cratchit works under Scrooge, highlighting the power dynamics in their relationship.""The Tank refers to Bob Cratchit\'s work area, where he encounters Scrooge and faces the consequences of arriving late."', 'source_id': 'chunk-94bea83e7153fc2064aa382b494936a1'}> -2024-10-30 05:53:38,306 - lightrag - INFO - _do_upsert:query: - MERGE (n:`THE TANK`) - SET n += $properties - RETURN n - :result:{'entity_type': '"LOCATION"', 'description': '"The Tank is the workplace setting where Bob Cratchit works under Scrooge, highlighting the power dynamics in their relationship.""The Tank is the workplace setting where Bob Cratchit works under Scrooge, highlighting the power dynamics in their relationship.""The Tank is the workplace setting where Bob Cratchit works under Scrooge, highlighting the power dynamics in their relationship.""The Tank refers to Bob Cratchit\'s work area, where he encounters Scrooge and faces the consequences of arriving late."', 'source_id': 'chunk-94bea83e7153fc2064aa382b494936a1'} -2024-10-30 05:53:38,438 - lightrag - INFO - get_node:query:MATCH (n:`SMOKING BISHOP`) RETURN n:result: -2024-10-30 05:53:38,569 - lightrag - INFO - _do_upsert:query: - MERGE (n:`SMOKING BISHOP`) - SET n += $properties - RETURN n - :result:{'entity_type': '"CONCEPT"', 'description': '"Smoking Bishop is a traditional Christmas drink mentioned in the context of Scrooge and Bob\'s plans to celebrate together, symbolizing festive cheer."', 'source_id': 'chunk-94bea83e7153fc2064aa382b494936a1'} -2024-10-30 05:53:38,697 - lightrag - INFO - get_node:query:MATCH (n:`THE FOUNDATION`) RETURN n:result:"The Foundation, also known as the Project Gutenberg Literary Archive Foundation, owns the compilation copyright in the collection of Project Gutenberg electronic works.""The Foundation, referred to as the Project Gutenberg Literary Archive Foundation, owns the compilation copyright of Project Gutenberg\'s collection."', 'source_id': 'chunk-194cd9680f4967f48bea89678f7ece21'}> -2024-10-30 05:53:38,828 - lightrag - INFO - _do_upsert:query: - MERGE (n:`THE FOUNDATION`) - SET n += $properties - RETURN n - :result:{'entity_type': '"ORGANIZATION"', 'description': '"The Foundation, also known as the Project Gutenberg Literary Archive Foundation, owns the compilation copyright in the collection of Project Gutenberg electronic works.""The Foundation, also known as the Project Gutenberg Literary Archive Foundation, owns the compilation copyright in the collection of Project Gutenberg electronic works.""The Foundation, also known as the Project Gutenberg Literary Archive Foundation, owns the compilation copyright in the collection of Project Gutenberg electronic works.""The Foundation, referred to as the Project Gutenberg Literary Archive Foundation, owns the compilation copyright of Project Gutenberg\'s collection."', 'source_id': 'chunk-194cd9680f4967f48bea89678f7ece21'} -2024-10-30 05:53:38,960 - lightrag - INFO - get_node:query:MATCH (n:`TRANSCRIBER'S NOTE`) RETURN n:result:"The Transcriber\'s note indicates additional information provided by the transcriber of the Project Gutenberg eBook.""Transcriber\'s Note refers to the added content by the transcriber, indicating additional information or context regarding the work."', 'source_id': 'chunk-194cd9680f4967f48bea89678f7ece21'}> -2024-10-30 05:53:39,090 - lightrag - INFO - _do_upsert:query: - MERGE (n:`TRANSCRIBER'S NOTE`) - SET n += $properties - RETURN n - :result:{'entity_type': '"EVENT"', 'description': '"The Transcriber\'s note indicates additional information provided by the transcriber of the Project Gutenberg eBook.""The Transcriber\'s note indicates additional information provided by the transcriber of the Project Gutenberg eBook.""The Transcriber\'s note indicates additional information provided by the transcriber of the Project Gutenberg eBook.""Transcriber\'s Note refers to the added content by the transcriber, indicating additional information or context regarding the work."', 'source_id': 'chunk-194cd9680f4967f48bea89678f7ece21'} -2024-10-30 05:53:39,219 - lightrag - INFO - get_node:query:MATCH (n:`UNITED STATES COPYRIGHT`) RETURN n:result: -2024-10-30 05:53:39,353 - lightrag - INFO - _do_upsert:query: - MERGE (n:`UNITED STATES COPYRIGHT`) - SET n += $properties - RETURN n - :result:{'entity_type': '"CONCEPT"', 'description': '"United States copyright refers to the laws governing the protection of intellectual property, which influence the distribution of works within the U.S."', 'source_id': 'chunk-194cd9680f4967f48bea89678f7ece21'} -2024-10-30 05:53:39,486 - 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Hart is the originator of the Project Gutenberg concept, having produced and distributed eBooks for forty years."', 'source_id': 'chunk-85f77f5e3a9aba01133555a2d20e2fd8'} -2024-10-30 05:53:47,178 - lightrag - INFO - get_node:query:MATCH (n:`U.S. INTERNAL REVENUE SERVICE`) RETURN n:result: -2024-10-30 05:53:47,306 - lightrag - INFO - _do_upsert:query: - MERGE (n:`U.S. INTERNAL REVENUE SERVICE`) - SET n += $properties - RETURN n - :result:{'entity_type': '"ORGANIZATION"', 'description': '"The U.S. Internal Revenue Service is the government agency granting tax-exempt status to the Foundation."', 'source_id': 'chunk-85f77f5e3a9aba01133555a2d20e2fd8'} -2024-10-30 05:53:47,436 - lightrag - INFO - get_node:query:MATCH (n:`DONATIONS`) RETURN n:result:"Donations represent the financial support provided to the Project Gutenberg Literary Archive Foundation, essential for carrying out its mission.""Donations refer to the contributions made to the Project Gutenberg Literary Archive Foundation which are essential for its operation and maintaining tax-exempt status.""Donations refer to the contributions made to the Project Gutenberg Literary Archive Foundation which are essential for its operation and maintaining tax-exempt status."', 'source_id': 'chunk-85f77f5e3a9aba01133555a2d20e2fd8chunk-c51b3dc560b408cce12cdfe5c9c94f57'}> -2024-10-30 05:53:47,570 - 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lightrag - INFO - get_node:query:MATCH (n:`U.S. FEDERAL LAWS`) RETURN n:result:"U.S. federal laws govern the tax treatment of contributions made to the Project Gutenberg Literary Archive Foundation and those involved in charitable activities.""U.S. federal laws set the framework and conditions under which non-profit organizations like the Project Gutenberg Literary Archive Foundation operate and maintain tax-exempt status."', 'source_id': 'chunk-85f77f5e3a9aba01133555a2d20e2fd8'}> -2024-10-30 05:53:48,620 - lightrag - INFO - _do_upsert:query: - MERGE (n:`U.S. FEDERAL LAWS`) - SET n += $properties - RETURN n - :result:{'entity_type': '"GEO"', 'description': '"U.S. federal laws govern the tax treatment of contributions made to the Project Gutenberg Literary Archive Foundation and those involved in charitable activities.""U.S. federal laws govern the tax treatment of contributions made to the Project Gutenberg Literary Archive Foundation and those involved in charitable activities.""U.S. federal laws govern the tax treatment of contributions made to the Project Gutenberg Literary Archive Foundation and those involved in charitable activities.""U.S. federal laws set the framework and conditions under which non-profit organizations like the Project Gutenberg Literary Archive Foundation operate and maintain tax-exempt status."', 'source_id': 'chunk-85f77f5e3a9aba01133555a2d20e2fd8'} -2024-10-30 05:53:48,752 - lightrag - INFO - get_node:query:MATCH (n:`WEBSITE`) RETURN n:result:"The Project Gutenberg website serves as a hosting platform for eBooks, donation methods, and information regarding the Foundation\'s activities.""The Project Gutenberg website serves as the central platform for accessing eBooks, making donations, and providing information about the Foundation."', 'source_id': 'chunk-85f77f5e3a9aba01133555a2d20e2fd8'}> -2024-10-30 05:53:48,887 - lightrag - INFO - _do_upsert:query: - MERGE (n:`WEBSITE`) - SET n += $properties - RETURN n - :result:{'entity_type': '"ORGANIZATION"', 'description': '"The Project Gutenberg website serves as a hosting platform for eBooks, donation methods, and information regarding the Foundation\'s activities.""The Project Gutenberg website serves as a hosting platform for eBooks, donation methods, and information regarding the Foundation\'s activities.""The Project Gutenberg website serves as a hosting platform for eBooks, donation methods, and information regarding the Foundation\'s activities.""The Project Gutenberg website serves as the central platform for accessing eBooks, making donations, and providing information about the Foundation."', 'source_id': 'chunk-85f77f5e3a9aba01133555a2d20e2fd8'} -2024-10-30 05:53:49,019 - 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get_node:query:MATCH (n:`PUBLIC DOMAIN`) RETURN n:result: -2024-10-30 05:53:49,679 - lightrag - INFO - _do_upsert:query: - MERGE (n:`PUBLIC DOMAIN`) - SET n += $properties - RETURN n - :result:{'entity_type': '"CONCEPT"', 'description': '"Public Domain refers to works that are available for free use without copyright restrictions, a key focus of Project Gutenberg\'s mission to distribute such materials."', 'source_id': 'chunk-85f77f5e3a9aba01133555a2d20e2fd8'} -2024-10-30 05:53:52,141 - lightrag - INFO - _do_upsert:query: - MERGE (n:`FRED`) - SET n += $properties - RETURN n - :result:{'entity_type': '"PERSON"', 'description': "Fred is Ebenezer Scrooge's lively nephew, who embodies the spirit of Christmas and serves as a striking contrast to Scrooge's misanthropic nature. He represents familial love and joy, often inviting Scrooge to family gatherings and emphasizing the importance of familial connections during the holiday season. Fred expresses admiration for his uncle and raises a toast in his honor at Christmas gatherings, showcasing his warmth and festive spirit. His character highlights the warmth of family that Scrooge initially rejects, and he is depicted as a friendly figure who is surprised and pleased by Scrooge's unexpected visits. Overall, Fred exemplifies the joy and unity of Christmas, passionately inviting Scrooge to embrace the happiness associated with the holiday and family.", 'source_id': 'chunk-89777b838d5447c7bd1ec11282c4ee89chunk-8f738cb25d60a7dab782162d9d0a25edchunk-94bea83e7153fc2064aa382b494936a1chunk-e7637ff18c5ded77a68cce0a87883fadchunk-9e3921da66da5d761ab73cd849af6c43'} -2024-10-30 05:53:52,332 - lightrag - INFO - _do_upsert:query: - MERGE (n:`FEZZIWIG`) - SET n += $properties - RETURN n - :result:{'entity_type': '"PERSON"', 'description': "Fezziwig is a character renowned for his role as a joyful and jovial employer who hosts domestic balls, creating an atmosphere filled with happiness and merriment for his participants. He is depicted as a kind-hearted figure who organizes lively Christmas festivities for his employees, exemplifying kindness and generosity. Fezziwig plays a significant role in the memories of Ebenezer Scrooge, being portrayed as his former employer who embodies the true spirit of Christmas.\n\nHe is often seen dancing with his wife, Mrs. Fezziwig, which further illustrates his cheerful nature and the festive spirit surrounding the celebrations. As the owner of a business where these vibrant festivities take place, Fezziwig is celebrated for his ability to create a lively and joyful environment, leaving a lasting impression on those who encounter him during the festive seasons. His portrayal encapsulates the essence of joy, generosity, and the festive spirit, making him a beloved character in the narrative of Scrooge's past.", 'source_id': 'chunk-89777b838d5447c7bd1ec11282c4ee89chunk-8bc1edd983869352d14cf0886a9175a7chunk-b2f98bc7abb0c67d4c86055c7fd72218chunk-c6c248858d1b13ab7ee9ca13c1aeed6b'} -2024-10-30 05:53:52,611 - lightrag - INFO - _do_upsert:query: - MERGE (n:`MARLEY`) - SET n += $properties - RETURN n - :result:{'entity_type': '"PERSON"', 'description': "Marley is Scrooge's deceased business partner, whose presence looms over the narrative of the story, symbolizing the dire consequences of a life lived without compassion and care for others. His death serves as a significant event that sets the tone for the plot and reflects the overarching themes of regret and the supernatural.\n\nMarley passed away seven years prior to the events depicted, making his spectral appearance even more impactful. Despite being a character who is only mentioned throughout much of the story, his influence on Scrooge is profound, as reflections and memories of Marley shape Scrooge's perspective on life and relationships. This ghostly figure is depicted distinctly with a pigtail, waistcoat, tights, and boots, making him central to Scrooge's haunting experience.\n\nOverall, Marley represents the weight of past actions and the importance of empathy, acting as a harbinger of transformation for Scrooge. His ghostly manifestation evokes both fear and introspection, ultimately contributing to the moral lessons embedded in the tale.", 'source_id': 'chunk-89777b838d5447c7bd1ec11282c4ee89chunk-d9aac3484185ac66045df92214d245d5chunk-5dac41b3f9eeaf794f0147400b1718cdchunk-9c43dac2fcd5b578242d907ea6f8fc7bchunk-843b5b2f944c7413d9ca876e2e2f151f'} -2024-10-30 05:53:52,920 - lightrag - INFO - _do_upsert:query: - MERGE (n:`THE SPIRIT`) - SET n += $properties - RETURN n - :result:{'entity_type': '"ORGANIZATION"', 'description': '"The Spirit" is a multifaceted supernatural entity guiding Ebenezer Scrooge through a transformative journey during the Christmas season. It is portrayed as a ghostly figure, encompassing the Ghost of Christmas Present and the Ghost of Christmas Past, and serves to illuminate various themes including joy, generosity, and moral introspection. Throughout the narrative, The Spirit influences Scrooge\'s emotional journey, encouraging him to reflect on his past and understand the consequences of his actions.\n\nAs a guiding force, The Spirit prompts Scrooge to engage deeply with his memories, helping him realize the value of happiness and the importance of compassion and community in life. It plays a critical role in shaping the atmosphere of Christmas, promoting an environment filled with cheer and mirth as it leads Scrooge through moments of reflection and revelry. \n\nBy embodying the collective essence of the Christmas spirits, The Spirit acts as a moral compass for Scrooge, pushing him towards meaningful change and a reevaluation of his life choices. Ultimately, The Spirit serves as both a supernatural guide and an emotional influence, signifying the profound impact of reflection, memory, and personal transformation during the holiday season.', 'source_id': 'chunk-8590d9263cd2cd4fa583c432fc54e6c3chunk-91614df5cb74cbe5e109a338a82041e9chunk-19d72c57ae3408758b18d2568e86dc6bchunk-91572b3cd42786ba4cb2f180ca25cbf4chunk-bb21d58d36c6306fd8810ddd51c4a971chunk-b2f98bc7abb0c67d4c86055c7fd72218chunk-e1f29eeadc1d8ab46dc8a0bbd3c56b64chunk-503f0bfa5453467c7c61d160a3540ecachunk-43c9bee23adfa77aa9dedd22401bba7dchunk-da2472b4ef2a535b62908f14d0fb0ca9chunk-f1a4fbcf1ed86864b9bfd5e8dba4c683chunk-b0f459f5af1c3a5e0b92cbe4ee48b77b'} -2024-10-30 05:53:54,486 - lightrag - INFO - _do_upsert:query: - MERGE (n:`TINY TIM`) - SET n += $properties - RETURN n - :result:{'entity_type': '"PERSON"', 'description': 'Tiny Tim, whose real name is Tim Cratchit, is a significant character in Charles Dickens\' "A Christmas Carol" and is portrayed as Bob Cratchit\'s youngest son. He symbolizes hope, innocence, and resilience amidst the hardships faced by the Cratchit family, who struggle with poverty and illness. Described as a frail child and a cripple, Tiny Tim maintains an optimistic outlook and a joyful spirit, bringing joy to those around him and embodying the essence of goodness.\n\nTiny Tim\'s well-being is pivotal to the emotional state of his family, as he represents their hopes for the future and the love that unites them. His presence serves as a poignant reminder of the challenges posed by illness and poverty, evoking compassion from others, particularly Ebenezer Scrooge. Through Tiny Tim, the narrative conveys themes of family, generosity, and the potential for transformation, illustrating how acts of kindness can profoundly impact lives.\n\nDespite being acutely aware of his family\'s hardships, Tiny Tim participates in festive celebrations, such as the Christmas toast, showcasing his ability to embody the spirit of Christmas. Cherished by his family, particularly by his father, Bob Cratchit, Tiny Tim is often at the center of love and concern, reinforcing his role as a symbol of innocence and hope. Overall, Tiny Tim leaves a lasting impression on both other characters and readers, encapsulating the themes of hope and renewal that resonate throughout the story.', 'source_id': 'chunk-8f738cb25d60a7dab782162d9d0a25edchunk-19d72c57ae3408758b18d2568e86dc6bchunk-91572b3cd42786ba4cb2f180ca25cbf4chunk-94bea83e7153fc2064aa382b494936a1chunk-83ac129dc9b56f84c46760d153d68e93chunk-503f0bfa5453467c7c61d160a3540ecachunk-1d4b58de5429cd1261370c231c8673e8chunk-90b95db5c53e4364a6bee36b7aa4d70fchunk-7e2e7ebcc19a53b399dc03aded4743e7chunk-9e3921da66da5d761ab73cd849af6c43'} -2024-10-30 05:53:54,758 - lightrag - INFO - _do_upsert:query: - MERGE (n:`BOB CRATCHIT`) - SET n += $properties - RETURN n - :result:{'entity_type': '"PERSON"', 'description': 'Bob Cratchit is a significant character in Charles Dickens\' "A Christmas Carol," serving as Ebenezer Scrooge\'s dedicated clerk and an embodiment of the struggles faced by the working class. He is depicted as a struggling yet loving family man, whose household is blessed by the Spirit of Christmas. Despite his low wages, Cratchit exhibits warmth and joy at home, particularly during the festive season, striving to maintain a positive atmosphere amidst financial hardships. \n\nAs the father of Tiny Tim and head of the Cratchit family, Bob exemplifies deep familial love and concern, demonstrating kindness and emotional depth while caring for his children. He is portrayed as a mild-mannered character who expresses happiness and appreciation during family celebrations, capturing the essence of duty and love. Bob\'s affection for his children and his consistent concern for Tiny Tim\'s well-being highlight his dedication to family life.\n\nCratchit\'s arrival late to work after Christmas illustrates his trepidation about Scrooge, though it also signals Scrooge\'s newfound generosity towards him. This contrast underscores Cratchit\'s warm and positive demeanor, which remains steadfast despite his challenges. The Cratchit household radiates warmth, with Bob’s joy during their Christmas dinner sharply contrasting Scrooge\'s initial miserly attitude.\n\nIn summary, Bob Cratchit is not only a devoted father and husband but also a representation of resilience, hope, and the importance of family. He embodies the spirit of joy amidst adversity, making him a compelling and heartwarming character within the narrative of "A Christmas Carol."', 'source_id': 'chunk-d9aac3484185ac66045df92214d245d5chunk-19d72c57ae3408758b18d2568e86dc6bchunk-91572b3cd42786ba4cb2f180ca25cbf4chunk-94bea83e7153fc2064aa382b494936a1chunk-83ac129dc9b56f84c46760d153d68e93chunk-503f0bfa5453467c7c61d160a3540ecachunk-1d4b58de5429cd1261370c231c8673e8chunk-90b95db5c53e4364a6bee36b7aa4d70fchunk-b0f459f5af1c3a5e0b92cbe4ee48b77bchunk-7e2e7ebcc19a53b399dc03aded4743e7chunk-9e3921da66da5d761ab73cd849af6c43'} -2024-10-30 05:53:55,260 - lightrag - INFO - _do_upsert:query: - MERGE (n:`CHRISTMAS`) - SET n += $properties - RETURN n - :result:{'entity_type': '"EVENT"', 'description': 'Christmas is a significant and festive season that embodies themes of joy, love, generosity, and community. It plays a crucial role in the narrative, particularly through the experiences of the Cratchit family and the character of Ebenezer Scrooge. The holiday is depicted as a time for family togetherness, celebration, and emotional reflection. During this season, the Cratchit family experiences warmth, gratitude, and merriment, creating cherished memories despite their modest circumstances.\n\nIn stark contrast, Scrooge initially approaches Christmas with cynicism, dismissively referring to it as a "humbug" and rejecting the joy and goodwill that the season represents. His cold demeanor and disdain for the holiday stand in opposition to the spirit of generosity and community that prevails around him. The narrative highlights Christmas as a time of joy and giving, emphasizing the importance of social responsibility and emotional connections within a community.\n\nThroughout the story, Christmas serves as the backdrop for Scrooge’s transformation, forcing him to confront his past and the relationships he has neglected, which becomes a critical aspect of his character development. The holiday is also referenced as one that Scrooge\'s Nephew is passionate about, further contrasting with Scrooge\'s cynical views.\n\nAs the story unfolds, Christmas symbolizes redemption and change for Scrooge, who ultimately decides to embrace the holiday\'s spirit of goodwill and abandon his previous bitterness. Christmas emerges as a pivotal element that reinforces the story\'s exploration of redemption, generosity, and the transformative power of love and community. Joyful scenes of people celebrating, dancing, and engaging in festive activities starkly contrast with Scrooge\'s earlier solitude and disdain, highlighting the pervasive influence of this festive occasion on the thoughts and behaviors of all characters involved.', 'source_id': 'chunk-91614df5cb74cbe5e109a338a82041e9chunk-89777b838d5447c7bd1ec11282c4ee89chunk-8590d9263cd2cd4fa583c432fc54e6c3chunk-02baee20cc9463dbe08170a8e1043e32chunk-74e2466de2f67fd710ef2f20c0a8d9e0chunk-5dac41b3f9eeaf794f0147400b1718cdchunk-91572b3cd42786ba4cb2f180ca25cbf4chunk-43c9bee23adfa77aa9dedd22401bba7dchunk-da2472b4ef2a535b62908f14d0fb0ca9chunk-1d4b58de5429cd1261370c231c8673e8chunk-54bdd22db1f84a965b5f4c06c9216d8dchunk-e7637ff18c5ded77a68cce0a87883fadchunk-90d5764e301321c087f5a8f78b73a145chunk-99b0ec7f7e006561352b5d65e849611dchunk-773d0df1dd25c356f7b771d780583e09chunk-8f738cb25d60a7dab782162d9d0a25edchunk-94bea83e7153fc2064aa382b494936a1chunk-c6c248858d1b13ab7ee9ca13c1aeed6bchunk-503f0bfa5453467c7c61d160a3540eca'} -2024-10-30 05:53:55,438 - lightrag - INFO - _do_upsert:query: - MERGE (n:`THE GHOST`) - SET n += $properties - RETURN n - :result:{'entity_type': '"EVENT"', 'description': "The Ghost is a crucial supernatural being in the narrative that interacts with Ebenezer Scrooge, guiding him through a transformative journey. Described as a strange figure exhibiting qualities of both a child and an old man, The Ghost embodies the supernatural intervention in Scrooge's life, serving as a catalyst for self-reflection and moral realization. This spectral manifestation, identified as the apparition of Jacob Marley, instills dread in Scrooge while simultaneously delivering a critical message about the repercussions of his choices and the need for change.\n\nThroughout his encounters with The Ghost, Scrooge is shown various scenes from his past, which evoke deep emotions and highlight the joys of family and the significance of Christmas. The Ghost emphasizes themes of redemption, kindness, and the emotional consequences of one's actions, urging Scrooge to confront his past and reconsider his life choices. This supervision reveals lessons about the importance of human virtue and the need for compassion towards others.\n\nUltimately, The Ghost acts as a guiding presence, influencing Scrooge's emotional state and facilitating his journey toward redemption. By confronting his past and acknowledging the impending visits from three spirits, Scrooge begins to understand the value of kindness and the dire consequences of neglecting these moral values throughout his life. In summary, The Ghost serves as a key figure in Scrooge's transformation, encapsulating the overarching themes of change, redemption, and moral lessons.", 'source_id': 'chunk-8590d9263cd2cd4fa583c432fc54e6c3chunk-359187e7571bda4b0b08b2e0b6581e52chunk-cb661c37436355ccec2769b1d0350c5fchunk-54bdd22db1f84a965b5f4c06c9216d8dchunk-02baee20cc9463dbe08170a8e1043e32chunk-c7b10789a9cb0af6c553730b29bd9034chunk-c6c248858d1b13ab7ee9ca13c1aeed6bchunk-e7637ff18c5ded77a68cce0a87883fadchunk-83ac129dc9b56f84c46760d153d68e93chunk-43c9bee23adfa77aa9dedd22401bba7dchunk-9c43dac2fcd5b578242d907ea6f8fc7bchunk-da2472b4ef2a535b62908f14d0fb0ca9chunk-1aa50206d02ed89418f65f97c6441d1c'} -2024-10-30 05:53:55,634 - lightrag - INFO - _do_upsert:query: - MERGE (n:`SCROOGE`) - SET n += $properties - RETURN n - :result:{'entity_type': '"PERSON"', 'description': "Scrooge is a central character in the narrative, whose journey encapsulates profound emotional turmoil and transformation. Initially depicted as a miserly, cold-hearted individual characterized by greed and a disdain for Christmas, Scrooge is often referred to negatively as the “Ogre of the family” or a “tight-fisted old man.” His lack of compassion for others and reluctance to engage in charitable acts highlight his solitary nature and indifference to the festive spirit.\n\nThe turning point in Scrooge's journey begins with a haunting visit from the ghost of his former business partner, Jacob Marley. This encounter warns him of the dire consequences of his actions and sets off a series of supernatural visits from three spirits that guide Scrooge through his past, present, and future. As he reflects on his life during these encounters, he experiences horror, agitation, and regret, particularly as he contemplates the implications of his miserliness and recalls lonely moments from his childhood.\n\nThrough interactions with the spirits, Scrooge witnesses both joy and sorrow, particularly in his observations of the Cratchit family and Tiny Tim. These reflections ignite feelings of grief and a longing for connection, prompting Scrooge to recognize his mortality and the far-reaching impact of his life choices on others. This emotional struggle fosters a conflict between his prior skepticism and a burgeoning capacity for empathy.\n\nUltimately, by the conclusion of the story, Scrooge undergoes a significant transformation. Emerging from his encounters with a newfound sense of joy and commitment to kindness, he embraces the spirit of Christmas and strives to positively influence the lives of those around him, especially Bob Cratchit and his family. His evolution from a grumpy, indifferent man to one filled with goodwill encapsulates the narrative's themes of redemption, compassion, and community, demonstrating that change is not only possible but that love and generosity can triumph over isolation and greed.", 'source_id': 'chunk-91614df5cb74cbe5e109a338a82041e9chunk-83ac129dc9b56f84c46760d153d68e93chunk-b0f459f5af1c3a5e0b92cbe4ee48b77bchunk-359187e7571bda4b0b08b2e0b6581e52chunk-89777b838d5447c7bd1ec11282c4ee89chunk-8590d9263cd2cd4fa583c432fc54e6c3chunk-02baee20cc9463dbe08170a8e1043e32chunk-74e2466de2f67fd710ef2f20c0a8d9e0chunk-5dac41b3f9eeaf794f0147400b1718cdchunk-91572b3cd42786ba4cb2f180ca25cbf4chunk-bb21d58d36c6306fd8810ddd51c4a971chunk-43c9bee23adfa77aa9dedd22401bba7dchunk-da2472b4ef2a535b62908f14d0fb0ca9chunk-f1a4fbcf1ed86864b9bfd5e8dba4c683chunk-1aa50206d02ed89418f65f97c6441d1cchunk-cb661c37436355ccec2769b1d0350c5fchunk-54bdd22db1f84a965b5f4c06c9216d8dchunk-19d72c57ae3408758b18d2568e86dc6bchunk-b2f98bc7abb0c67d4c86055c7fd72218chunk-e7637ff18c5ded77a68cce0a87883fadchunk-e1f29eeadc1d8ab46dc8a0bbd3c56b64chunk-90d5764e301321c087f5a8f78b73a145chunk-9c43dac2fcd5b578242d907ea6f8fc7bchunk-90b95db5c53e4364a6bee36b7aa4d70fchunk-99b0ec7f7e006561352b5d65e849611dchunk-773d0df1dd25c356f7b771d780583e09chunk-d9aac3484185ac66045df92214d245d5chunk-8f738cb25d60a7dab782162d9d0a25edchunk-94bea83e7153fc2064aa382b494936a1chunk-c7b10789a9cb0af6c553730b29bd9034chunk-c6c248858d1b13ab7ee9ca13c1aeed6bchunk-503f0bfa5453467c7c61d160a3540ecachunk-843b5b2f944c7413d9ca876e2e2f151f'} -2024-10-30 05:53:55,826 - lightrag - INFO - _check_edge_existence:query:MATCH (a:`A CHRISTMAS CAROL`)-[r]-(b:`PROJECT GUTENBERG`) RETURN COUNT(r) > 0 AS edgeExists:result:True -2024-10-30 05:53:55,976 - lightrag - INFO - get_edge:query: - MATCH (source:`A CHRISTMAS CAROL`)-[r]-(target:`PROJECT GUTENBERG`) - RETURN r - :result:, ) type='DIRECTED' properties={'keywords': '"publication, accessibility"', 'description': '"A Christmas Carol is published and distributed freely through Project Gutenberg, making it accessible to a global audience."', 'weight': 9.0, 'source_id': 'chunk-9e3921da66da5d761ab73cd849af6c43'}> -2024-10-30 05:53:56,130 - lightrag - INFO - _check_edge_existence:query:MATCH (a:`A CHRISTMAS CAROL`)-[r]-(b:`CHARLES DICKENS`) RETURN COUNT(r) > 0 AS edgeExists:result:True -2024-10-30 05:53:56,267 - lightrag - INFO - get_edge:query: - MATCH (source:`A CHRISTMAS CAROL`)-[r]-(target:`CHARLES DICKENS`) - RETURN r - :result:, ) type='DIRECTED' properties={'keywords': '"author, literary impact"', 'description': '"Charles Dickens authored A Christmas Carol, which reflects his views on Victorian society and social issues."', 'weight': 10.0, 'source_id': 'chunk-9e3921da66da5d761ab73cd849af6c43'}> -2024-10-30 05:53:56,406 - lightrag - INFO - _check_edge_existence:query:MATCH (a:`A CHRISTMAS CAROL`)-[r]-(b:`ARTHUR RACKHAM`) RETURN COUNT(r) > 0 AS edgeExists:result:True -2024-10-30 05:53:56,538 - lightrag - INFO - get_edge:query: - MATCH (source:`A CHRISTMAS CAROL`)-[r]-(target:`ARTHUR RACKHAM`) - RETURN r - :result:, ) type='DIRECTED' properties={'keywords': '"illustration, artistic contribution"', 'description': '"Arthur Rackham illustrated A Christmas Carol, enhancing the visual experience of Dickens\' narrative."', 'weight': 8.0, 'source_id': 'chunk-9e3921da66da5d761ab73cd849af6c43'}> -2024-10-30 05:53:56,673 - lightrag - INFO - _check_edge_existence:query:MATCH (a:`BOB CRATCHIT`)-[r]-(b:`EBENEZER SCROOGE`) RETURN COUNT(r) > 0 AS edgeExists:result:True -2024-10-30 05:53:56,808 - lightrag - INFO - get_edge:query: - MATCH (source:`BOB CRATCHIT`)-[r]-(target:`EBENEZER SCROOGE`) - RETURN r - :result:, ) type='DIRECTED' properties={'keywords': '"workplace dynamics, social contrast"', 'description': '"Bob Cratchit works for Ebenezer Scrooge, embodying the struggles of the working class in contrast to Scrooge\'s miserliness."', 'weight': 7.0, 'source_id': 'chunk-9e3921da66da5d761ab73cd849af6c43'}> -2024-10-30 05:53:56,948 - lightrag - INFO - _check_edge_existence:query:MATCH (a:`BOB CRATCHIT`)-[r]-(b:`TINY TIM`) RETURN COUNT(r) > 0 AS edgeExists:result:True -2024-10-30 05:53:57,080 - lightrag - INFO - get_edge:query: - MATCH (source:`BOB CRATCHIT`)-[r]-(target:`TINY TIM`) - RETURN r - :result:, ) type='DIRECTED' properties={'keywords': '"family bond, care""family bond, love""family love, vulnerability""family, struggle""family, support""father-son bond, care"', 'description': '"Bob Cratchit deeply cares for Tiny Tim, demonstrating emotional support and love, especially in moments of distress.""Bob Cratchit expresses love and concern for his son Tiny Tim during the Christmas dinner, highlighting a strong familial bond.""Bob Cratchit is Tiny Tim\'s father, and the turkey Scrooge plans to send will impact Tiny Tim\'s well-being.""Bob Cratchit is Tiny Tim\'s father, and their relationship highlights the theme of family struggle and love, especially during Christmas.""Bob Cratchit shows deep care for Tiny Tim, helping him and expressing pride in his strength and character despite challenges.""Bob Cratchit\'s concern for Tiny Tim illustrates the deep familial love and the challenges facing the Cratchit family."', 'weight': 48.0, 'source_id': 'chunk-83ac129dc9b56f84c46760d153d68e93chunk-503f0bfa5453467c7c61d160a3540ecachunk-1d4b58de5429cd1261370c231c8673e8chunk-90b95db5c53e4364a6bee36b7aa4d70fchunk-94bea83e7153fc2064aa382b494936a1chunk-7e2e7ebcc19a53b399dc03aded4743e7'}> -2024-10-30 05:53:57,216 - lightrag - INFO - _check_edge_existence:query:MATCH (a:`EBENEZER SCROOGE`)-[r]-(b:`MR. FEZZIWIG`) RETURN COUNT(r) > 0 AS edgeExists:result:True -2024-10-30 05:53:57,350 - lightrag - INFO - get_edge:query: - MATCH (source:`EBENEZER SCROOGE`)-[r]-(target:`MR. FEZZIWIG`) - RETURN r - :result:, ) type='DIRECTED' properties={'keywords': '"contrast, influence"', 'description': '"Mr. Fezziwig represents a contrast to Ebenezer Scrooge\'s character, showing kindness and generosity in business."', 'weight': 7.0, 'source_id': 'chunk-9e3921da66da5d761ab73cd849af6c43'}> -2024-10-30 05:53:57,487 - lightrag - INFO - _check_edge_existence:query:MATCH (a:`GHOST OF CHRISTMAS PAST`)-[r]-(b:`SCROOGE`) RETURN COUNT(r) > 0 AS edgeExists:result:True -2024-10-30 05:53:57,621 - lightrag - INFO - get_edge:query: - MATCH (source:`GHOST OF CHRISTMAS PAST`)-[r]-(target:`SCROOGE`) - RETURN r - :result:, ) type='DIRECTED' properties={'keywords': '"reflection, past influence"', 'description': '"Scrooge engages with the Ghost of Christmas Past to explore his earlier life, seeking insight into his current state."', 'weight': 8.0, 'source_id': 'chunk-bb21d58d36c6306fd8810ddd51c4a971'}> -2024-10-30 05:53:57,763 - lightrag - INFO - _check_edge_existence:query:MATCH (a:`GHOST OF CHRISTMAS PRESENT`)-[r]-(b:`SCROOGE`) RETURN COUNT(r) > 0 AS edgeExists:result:True -2024-10-30 05:53:57,899 - lightrag - INFO - get_edge:query: - MATCH (source:`GHOST OF CHRISTMAS PRESENT`)-[r]-(target:`SCROOGE`) - RETURN r - :result:, ) type='DIRECTED' properties={'keywords': '"transformation, mentoring"', 'description': '"Scrooge is led by the Ghost of Christmas Present, who teaches him valuable lessons about generosity and compassion."', 'weight': 10.0, 'source_id': 'chunk-843b5b2f944c7413d9ca876e2e2f151f'}> -2024-10-30 05:53:58,042 - lightrag - INFO - _check_edge_existence:query:MATCH (a:`GHOST OF CHRISTMAS YET TO COME`)-[r]-(b:`SCROOGE`) RETURN COUNT(r) > 0 AS edgeExists:result:True -2024-10-30 05:53:58,178 - lightrag - INFO - get_edge:query: - MATCH (source:`GHOST OF CHRISTMAS YET TO COME`)-[r]-(target:`SCROOGE`) - RETURN r - :result:, ) type='DIRECTED' properties={'keywords': '"forewarning, change""future consequences, redemption"', 'description': '"The Ghost of Christmas Yet to Come presents a foreboding vision of Scrooge\'s future, driving home the need for personal change.""The Ghost shows Scrooge visions of the future, challenging him to change his ways to avoid a grim destiny."', 'weight': 19.0, 'source_id': 'chunk-02baee20cc9463dbe08170a8e1043e32chunk-9e3921da66da5d761ab73cd849af6c43'}> -2024-10-30 05:53:58,320 - lightrag - INFO - _check_edge_existence:query:MATCH (a:`FRED`)-[r]-(b:`SCROOGE`) RETURN COUNT(r) > 0 AS edgeExists:result:True -2024-10-30 05:53:58,452 - lightrag - INFO - get_edge:query: - MATCH (source:`FRED`)-[r]-(target:`SCROOGE`) - RETURN r - :result:, ) type='DIRECTED' properties={'keywords': '"family connection, goodwill""family connection, reconciliation""family, transformation""rejection, familial dynamics"', 'description': '"Scrooge and Fred share a familial bond, with Fred expressing goodwill and celebrating Scrooge despite his uncle\'s previous behavior.""Scrooge expresses a desire to visit Fred, which signifies a reconciliatory gesture toward his family.""Scrooge surprises Fred with his unexpected visit, indicating a shift in their familial relationship and Scrooge\'s attitude toward family.""Scrooge\'s interaction with Fred emphasizes his rejection of familial warmth during the Christmas season."', 'weight': 30.0, 'source_id': 'chunk-8f738cb25d60a7dab782162d9d0a25edchunk-94bea83e7153fc2064aa382b494936a1chunk-89777b838d5447c7bd1ec11282c4ee89chunk-e7637ff18c5ded77a68cce0a87883fad'}> -2024-10-30 05:53:58,585 - lightrag - INFO - _check_edge_existence:query:MATCH (a:`FRED`)-[r]-(b:`GHOST OF CHRISTMAS PRESENT`) RETURN COUNT(r) > 0 AS edgeExists:result:True -2024-10-30 05:53:58,720 - lightrag - INFO - get_edge:query: - MATCH (source:`FRED`)-[r]-(target:`GHOST OF CHRISTMAS PRESENT`) - RETURN r - :result:, ) type='DIRECTED' properties={'keywords': '"celebration, Christmas spirit"', 'description': '"Fred is celebrated by the Ghost of Christmas Present as a symbol of Christmas spirit, highlighting the contrast with Scrooge."', 'weight': 8.0, 'source_id': 'chunk-9e3921da66da5d761ab73cd849af6c43'}> -2024-10-30 05:53:58,862 - lightrag - INFO - _check_edge_existence:query:MATCH (a:`BOB CRATCHIT`)-[r]-(b:`MRS. CRATCHIT`) RETURN COUNT(r) > 0 AS edgeExists:result:True -2024-10-30 05:53:58,993 - lightrag - INFO - get_edge:query: - MATCH (source:`BOB CRATCHIT`)-[r]-(target:`MRS. CRATCHIT`) - RETURN r - :result:, ) type='DIRECTED' properties={'keywords': '"family unity, celebration""partnership, family unity"', 'description': '"Bob and Mrs. Cratchit represent a family working together to create a festive and warm environment despite their limited means.""Mrs. Cratchit supports Bob Cratchit in his parenting efforts and encourages the family’s unity during challenging times."', 'weight': 16.0, 'source_id': 'chunk-1d4b58de5429cd1261370c231c8673e8chunk-b0f459f5af1c3a5e0b92cbe4ee48b77b'}> -2024-10-30 05:53:59,130 - lightrag - INFO - _check_edge_existence:query:MATCH (a:`GHOST OF CHRISTMAS PRESENT`)-[r]-(b:`TINY TIM`) RETURN COUNT(r) > 0 AS edgeExists:result:True -2024-10-30 05:53:59,263 - lightrag - INFO - get_edge:query: - MATCH (source:`GHOST OF CHRISTMAS PRESENT`)-[r]-(target:`TINY TIM`) - RETURN r - :result:, ) type='DIRECTED' properties={'keywords': '"compassion, family"', 'description': '"The Ghost of Christmas Present reveals Tiny Tim’s struggles and optimism, emphasizing themes of compassion and family."', 'weight': 9.0, 'source_id': 'chunk-9e3921da66da5d761ab73cd849af6c43'}> -2024-10-30 05:53:59,399 - lightrag - INFO - _check_edge_existence:query:MATCH (a:`BOB CRATCHIT`)-[r]-(b:`MARTHA CRATCHIT`) RETURN COUNT(r) > 0 AS edgeExists:result:True -2024-10-30 05:53:59,535 - lightrag - INFO - get_edge:query: - MATCH (source:`BOB CRATCHIT`)-[r]-(target:`MARTHA CRATCHIT`) - RETURN r - :result:, ) type='DIRECTED' properties={'keywords': '"family bond, affection"', 'description': '"Martha shows affection for Bob Cratchit upon her arrival, indicating a warm father-daughter relationship within the family."', 'weight': 7.0, 'source_id': 'chunk-7e2e7ebcc19a53b399dc03aded4743e7'}> -2024-10-30 05:53:59,669 - lightrag - INFO - _check_edge_existence:query:MATCH (a:`MR. FEZZIWIG`)-[r]-(b:`SCROOGE`) RETURN COUNT(r) > 0 AS edgeExists:result:True -2024-10-30 05:53:59,800 - lightrag - INFO - get_edge:query: - MATCH (source:`MR. FEZZIWIG`)-[r]-(target:`SCROOGE`) - RETURN r - :result:, ) type='DIRECTED' properties={'keywords': '"kindness, influence"', 'description': '"Mr. Fezziwig\'s kindness towards employees influences Scrooge\'s eventual change in attitude toward generosity and business."', 'weight': 8.0, 'source_id': 'chunk-9e3921da66da5d761ab73cd849af6c43'}> -2024-10-30 05:53:59,940 - lightrag - INFO - _check_edge_existence:query:MATCH (a:`GHOST OF JACOB MARLEY`)-[r]-(b:`SCROOGE`) RETURN COUNT(r) > 0 AS edgeExists:result:True -2024-10-30 05:54:00,074 - lightrag - INFO - get_edge:query: - MATCH (source:`GHOST OF JACOB MARLEY`)-[r]-(target:`SCROOGE`) - RETURN r - :result:, ) type='DIRECTED' properties={'keywords': '"warning, transformation"', 'description': '"Jacob Marley appears to Scrooge as a warning and catalyst for his eventual transformation into a better person."', 'weight': 9.0, 'source_id': 'chunk-9e3921da66da5d761ab73cd849af6c43'}> -2024-10-30 05:54:00,216 - lightrag - INFO - _check_edge_existence:query:MATCH (a:`FAN`)-[r]-(b:`SCROOGE`) RETURN COUNT(r) > 0 AS edgeExists:result:True -2024-10-30 05:54:00,351 - lightrag - INFO - get_edge:query: - MATCH (source:`FAN`)-[r]-(target:`SCROOGE`) - RETURN r - :result:, ) type='DIRECTED' properties={'keywords': '"family, joy lost""sibling bond, nostalgia"', 'description': '"Fan\'s loving relationship with her brother Scrooge reflects the lost potential for joy in his life due to his choices.""Scrooge and Fan share a sibling bond, with Fan representing innocence and happiness from their childhood, which evokes fond memories for Scrooge."', 'weight': 14.0, 'source_id': 'chunk-c6c248858d1b13ab7ee9ca13c1aeed6bchunk-9e3921da66da5d761ab73cd849af6c43'}> -2024-10-30 05:54:00,487 - lightrag - INFO - _check_edge_existence:query:MATCH (a:`MR. FEZZIWIG`)-[r]-(b:`MRS. FEZZIWIG`) RETURN COUNT(r) > 0 AS edgeExists:result:True -2024-10-30 05:54:00,623 - lightrag - INFO - get_edge:query: - MATCH (source:`MR. FEZZIWIG`)-[r]-(target:`MRS. FEZZIWIG`) - RETURN r - :result:, ) type='DIRECTED' properties={'keywords': '"partnership, Christmas joy"', 'description': '"Mr. and Mrs. Fezziwig together create a joyful environment during Christmas, representing partnership and generosity."', 'weight': 8.0, 'source_id': 'chunk-9e3921da66da5d761ab73cd849af6c43'}> -2024-10-30 05:54:00,759 - lightrag - INFO - _check_edge_existence:query:MATCH (a:`FEZZIWIG`)-[r]-(b:`SCROOGE`) RETURN COUNT(r) > 0 AS edgeExists:result:True -2024-10-30 05:54:00,895 - lightrag - INFO - get_edge:query: - MATCH (source:`FEZZIWIG`)-[r]-(target:`SCROOGE`) - RETURN r - :result:, ) type='DIRECTED' properties={'keywords': '"kindness, mentorship""reflection, influence"', 'description': '"Scrooge reflects positively on Fezziwig\'s past actions, acknowledging the happiness and gratitude he inspired in people.""Scrooge reminisces about Fezziwig\'s kindness during his apprenticeship, comparing his past self to his current state."', 'weight': 16.0, 'source_id': 'chunk-b2f98bc7abb0c67d4c86055c7fd72218chunk-c6c248858d1b13ab7ee9ca13c1aeed6b'}> -2024-10-30 05:54:01,037 - lightrag - INFO - _check_edge_existence:query:MATCH (a:`MARLEY`)-[r]-(b:`SCROOGE`) RETURN COUNT(r) > 0 AS edgeExists:result:True -2024-10-30 05:54:01,172 - lightrag - INFO - get_edge:query: - MATCH (source:`MARLEY`)-[r]-(target:`SCROOGE`) - RETURN r - :result:, ) type='DIRECTED' properties={'keywords': '"mourning, partnership""past influence, personal history""redemption, confrontation""supernatural connection, past relationships"', 'description': '"Marley’s influence and past relationship with Scrooge is indicated, suggesting a connection that impacts Scrooge\'s character growth.""Scrooge is deeply affected by Marley\'s death, illustrated through his role as the sole executor and mourner of Marley.""Scrooge reflects on Marley, revealing his past connection and the haunting aspect of Marley\'s death, which influences Scrooge\'s character arc.""Scrooge\'s encounter with Marley’s Ghost serves as a confrontation with his past self and the life choices he regrets, depicting the theme of redemption."', 'weight': 32.0, 'source_id': 'chunk-d9aac3484185ac66045df92214d245d5chunk-843b5b2f944c7413d9ca876e2e2f151fchunk-89777b838d5447c7bd1ec11282c4ee89chunk-9c43dac2fcd5b578242d907ea6f8fc7b'}> -2024-10-30 05:54:01,313 - lightrag - INFO - _check_edge_existence:query:MATCH (a:`CHRISTMAS`)-[r]-(b:`SCROOGE`) RETURN COUNT(r) > 0 AS edgeExists:result:True -2024-10-30 05:54:01,444 - lightrag - INFO - get_edge:query: - MATCH (source:`CHRISTMAS`)-[r]-(target:`SCROOGE`) - RETURN r - :result:, ) type='DIRECTED' properties={'keywords': '"character development, festive spirit""conflict, holiday spirit""contrast, seasonal significance""disconnection, festive spirit""holiday significance, reflection""reflection, redemption""seasonal significance, emotional reflection""transformation, festive spirit""transformation, holiday significance""transformation, holiday spirit"', 'description': '"Christmas is a central theme that invokes Scrooge\'s memories of his past, his feelings of loneliness, and his desire to connect.""Christmas serves as a focal point for Scrooge\'s emotional reflections on joy and his disconnect from societal celebrations.""Christmas serves as the catalyst for Scrooge\'s transformation, highlighting themes of giving and compassion.""Scrooge expresses disdain for Christmas, viewing it as a burden rather than a celebration.""Scrooge\'s attitude towards Christmas highlights his disconnection from the festive spirit and charity associated with the holiday.""Scrooge\'s character contrasts sharply with the joy of Christmas, highlighting his disdain for the festive season.""Scrooge\'s experience during the Christmas event highlights the transformation of his character and the spirit of the holiday.""Scrooge\'s journey with the Spirit ultimately leads him to reflect on the meaning of Christmas and its impact on human connections.""Scrooge\'s transformation and newfound joy are directly linked to the spirit of Christmas.""Scrooge\'s transformation is centered around the spirit of Christmas, which he learns to embrace and celebrate.""Scrooge\'s views on Christmas evolve as he witnesses the joy and familial love associated with the holiday, marking a shift in his character."', 'weight': 95.0, 'source_id': 'chunk-91614df5cb74cbe5e109a338a82041e9chunk-8f738cb25d60a7dab782162d9d0a25edchunk-e7637ff18c5ded77a68cce0a87883fadchunk-8590d9263cd2cd4fa583c432fc54e6c3chunk-54bdd22db1f84a965b5f4c06c9216d8dchunk-90d5764e301321c087f5a8f78b73a145chunk-da2472b4ef2a535b62908f14d0fb0ca9chunk-94bea83e7153fc2064aa382b494936a1chunk-89777b838d5447c7bd1ec11282c4ee89chunk-99b0ec7f7e006561352b5d65e849611dchunk-74e2466de2f67fd710ef2f20c0a8d9e0'}> -2024-10-30 05:54:01,583 - lightrag - INFO - _check_edge_existence:query:MATCH (a:`SCROOGE`)-[r]-(b:`THE WAREHOUSE`) RETURN COUNT(r) > 0 AS edgeExists:result:True -2024-10-30 05:54:01,714 - lightrag - INFO - get_edge:query: - MATCH (source:`SCROOGE`)-[r]-(target:`THE WAREHOUSE`) - RETURN r - :result:, ) type='DIRECTED' properties={'keywords': '"memories, apprenticeship"', 'description': '"Scrooge\'s connection to the Warehouse emphasizes his memories of apprenticeship and his past experiences."', 'weight': 8.0, 'source_id': 'chunk-c6c248858d1b13ab7ee9ca13c1aeed6b'}> -2024-10-30 05:54:01,859 - lightrag - INFO - _check_edge_existence:query:MATCH (a:`JOE`)-[r]-(b:`THE WOMAN`) RETURN COUNT(r) > 0 AS edgeExists:result:True -2024-10-30 05:54:01,998 - lightrag - INFO - get_edge:query: - MATCH (source:`JOE`)-[r]-(target:`THE WOMAN`) - RETURN r - :result:, ) type='DIRECTED' properties={'keywords': '"dialogue, humor, death""humor, interaction"', 'description': '"Joe and The Woman engage in dialogue about the deceased\'s belongings, showcasing their interactions and differing attitudes towards death.""Joe and The Woman share a humorous exchange about the bed-curtains, reflecting the jovial spirit of the gathering."', 'weight': 12.0, 'source_id': 'chunk-89777b838d5447c7bd1ec11282c4ee89chunk-e1f29eeadc1d8ab46dc8a0bbd3c56b64'}> -2024-10-30 05:54:02,142 - lightrag - INFO - _check_edge_existence:query:MATCH (a:`SCROOGE`)-[r]-(b:`TIM`) RETURN COUNT(r) > 0 AS edgeExists:result:True -2024-10-30 05:54:02,278 - lightrag - INFO - get_edge:query: - MATCH (source:`SCROOGE`)-[r]-(target:`TIM`) - RETURN r - :result:, ) type='DIRECTED' properties={'keywords': '"familial connection, emotional depth"', 'description': '"Scrooge\'s connection to Tim emphasizes emotional depth, reflecting on family and lost connections as part of his character development."', 'weight': 8.0, 'source_id': 'chunk-89777b838d5447c7bd1ec11282c4ee89'}> -2024-10-30 05:54:02,414 - lightrag - INFO - _check_edge_existence:query:MATCH (a:`OLD SCROOGE`)-[r]-(b:`SCROOGE`) RETURN COUNT(r) > 0 AS edgeExists:result:True -2024-10-30 05:54:02,549 - lightrag - INFO - get_edge:query: - MATCH (source:`OLD SCROOGE`)-[r]-(target:`SCROOGE`) - RETURN r - :result:, ) type='DIRECTED' properties={'keywords': '"character history, development"', 'description': '"Scrooge\'s history is revealed through the mention of Old Scrooge, indicating his past beliefs and practices that shape his current persona."', 'weight': 7.0, 'source_id': 'chunk-89777b838d5447c7bd1ec11282c4ee89'}> -2024-10-30 05:54:02,688 - lightrag - INFO - _check_edge_existence:query:MATCH (a:`MARLEY'S FUNERAL`)-[r]-(b:`SCROOGE`) RETURN COUNT(r) > 0 AS edgeExists:result:True -2024-10-30 05:54:02,817 - lightrag - INFO - get_edge:query: - MATCH (source:`MARLEY'S FUNERAL`)-[r]-(target:`SCROOGE`) - RETURN r - :result:, ) type='DIRECTED' properties={'keywords': '"loss, character journey"', 'description': '"Marley\'s Funeral signifies the beginning of Scrooge\'s emotional journey, showcasing his reaction to loss and setting the stage for the narrative."', 'weight': 9.0, 'source_id': 'chunk-89777b838d5447c7bd1ec11282c4ee89'}> -2024-10-30 05:54:02,957 - lightrag - INFO - _check_edge_existence:query:MATCH (a:`SCROOGE`)-[r]-(b:`SCROOGE'S NEPHEW`) RETURN COUNT(r) > 0 AS edgeExists:result:True -2024-10-30 05:54:03,090 - lightrag - INFO - get_edge:query: - MATCH (source:`SCROOGE`)-[r]-(target:`SCROOGE'S NEPHEW`) - RETURN r - :result:, ) type='DIRECTED' properties={'keywords': '"family conflict, differing perspectives""family dynamics, contrasting views""family dynamics, opposing views"', 'description': '"Scrooge\'s Nephew contrasts with Scrooge, advocating for merriment and showing pity for his uncle\'s ill tempers.""Scrooge\'s Nephew tries to cheer Scrooge up and promote the joy of Christmas, but is met with rejection and negativity.""Scrooge\'s Nephew tries to convince Scrooge of the joys of Christmas, illustrating the conflict between their differing views on the holiday."', 'weight': 24.0, 'source_id': 'chunk-773d0df1dd25c356f7b771d780583e09chunk-74e2466de2f67fd710ef2f20c0a8d9e0chunk-5dac41b3f9eeaf794f0147400b1718cd'}> -2024-10-30 05:54:03,230 - lightrag - INFO - _check_edge_existence:query:MATCH (a:`CHRISTMAS`)-[r]-(b:`SCROOGE'S NEPHEW`) RETURN COUNT(r) > 0 AS edgeExists:result:True -2024-10-30 05:54:03,368 - lightrag - INFO - get_edge:query: - MATCH (source:`CHRISTMAS`)-[r]-(target:`SCROOGE'S NEPHEW`) - RETURN r - :result:, ) type='DIRECTED' properties={'keywords': '"advocacy for holiday spirit, family dynamics"', 'description': '"Scrooge\'s Nephew defends the positive aspects of Christmas, contrasting Scrooge\'s view that the holiday is pointless."', 'weight': 9.0, 'source_id': 'chunk-5dac41b3f9eeaf794f0147400b1718cd'}> -2024-10-30 05:54:03,502 - lightrag - INFO - _check_edge_existence:query:MATCH (a:`COUNTING-HOUSE`)-[r]-(b:`SCROOGE`) RETURN COUNT(r) > 0 AS edgeExists:result:True -2024-10-30 05:54:03,630 - lightrag - INFO - get_edge:query: - MATCH (source:`COUNTING-HOUSE`)-[r]-(target:`SCROOGE`) - RETURN r - :result:, ) type='DIRECTED' properties={'keywords': '"isolation, work environment""reflection, priorities"', 'description': '"Scrooge reflects on his life spent in the Counting-house, which represents his previous priorities focused on business over personal connections.""Scrooge\'s counting-house is a reflection of his cold character and attitude towards life, where he isolates himself from human interactions."', 'weight': 16.0, 'source_id': 'chunk-74e2466de2f67fd710ef2f20c0a8d9e0chunk-359187e7571bda4b0b08b2e0b6581e52'}> -2024-10-30 05:54:03,768 - lightrag - INFO - _check_edge_existence:query:MATCH (a:`BEGGARS`)-[r]-(b:`SCROOGE`) RETURN COUNT(r) > 0 AS edgeExists:result:True -2024-10-30 05:54:03,905 - lightrag - INFO - get_edge:query: - MATCH (source:`BEGGARS`)-[r]-(target:`SCROOGE`) - RETURN r - :result:, ) type='DIRECTED' properties={'keywords': '"lack of compassion, social isolation"', 'description': '"Beggars do not seek help from Scrooge due to his reputation, highlighting his inability to connect and empathize with those in need."', 'weight': 6.0, 'source_id': 'chunk-74e2466de2f67fd710ef2f20c0a8d9e0'}> -2024-10-30 05:54:04,045 - lightrag - INFO - _check_edge_existence:query:MATCH (a:`CHILDREN`)-[r]-(b:`SCROOGE`) RETURN COUNT(r) > 0 AS edgeExists:result:True -2024-10-30 05:54:04,179 - lightrag - INFO - get_edge:query: - MATCH (source:`CHILDREN`)-[r]-(target:`SCROOGE`) - RETURN r - :result:, ) type='DIRECTED' properties={'keywords': '"longing, innocence"', 'description': '"Scrooge\'s reaction to the Children he observes in his memories reveals his longing for the happiness he once knew but has since lost."', 'weight': 7.0, 'source_id': 'chunk-bb21d58d36c6306fd8810ddd51c4a971'}> -2024-10-30 05:54:04,321 - lightrag - INFO - _check_edge_existence:query:MATCH (a:`COLD WEATHER`)-[r]-(b:`SCROOGE`) RETURN COUNT(r) > 0 AS edgeExists:result:True -2024-10-30 05:54:04,461 - lightrag - INFO - get_edge:query: - MATCH (source:`COLD WEATHER`)-[r]-(target:`SCROOGE`) - RETURN r - :result:, ) type='DIRECTED' properties={'keywords': '"atmosphere, personality mirror"', 'description': '"The cold weather reflects Scrooge\'s icy demeanor, emphasizing his negative attitude towards life and others."', 'weight': 9.0, 'source_id': 'chunk-74e2466de2f67fd710ef2f20c0a8d9e0'}> -2024-10-30 05:54:04,608 - lightrag - INFO - _check_edge_existence:query:MATCH (a:`FOG`)-[r]-(b:`SCROOGE`) RETURN COUNT(r) > 0 AS edgeExists:result:True -2024-10-30 05:54:04,741 - lightrag - INFO - get_edge:query: - MATCH (source:`FOG`)-[r]-(target:`SCROOGE`) - RETURN r - :result:, ) type='DIRECTED' properties={'keywords': '"atmosphere, emotional reflection"', 'description': '"Fog represents the obscured vision of Scrooge\'s soul and emotions, aligning with his unknowable nature."', 'weight': 8.0, 'source_id': 'chunk-d9aac3484185ac66045df92214d245d5'}> -2024-10-30 05:54:04,875 - lightrag - INFO - _check_edge_existence:query:MATCH (a:`COURT`)-[r]-(b:`SCROOGE`) RETURN COUNT(r) > 0 AS edgeExists:result:True -2024-10-30 05:54:05,011 - lightrag - INFO - get_edge:query: - MATCH (source:`COURT`)-[r]-(target:`SCROOGE`) - RETURN r - :result:, ) type='DIRECTED' properties={'keywords': '"social contrast, isolation"', 'description': '"The court serves as a contrasting backdrop to Scrooge’s private space, where social warmth and interaction occur, which he actively avoids."', 'weight': 7.0, 'source_id': 'chunk-74e2466de2f67fd710ef2f20c0a8d9e0'}> -2024-10-30 05:54:05,151 - lightrag - INFO - _check_edge_existence:query:MATCH (a:`MARLEY`)-[r]-(b:`SCROOGE AND MARLEY'S`) RETURN COUNT(r) > 0 AS edgeExists:result:True -2024-10-30 05:54:05,291 - lightrag - INFO - get_edge:query: - MATCH (source:`MARLEY`)-[r]-(target:`SCROOGE AND MARLEY'S`) - RETURN r - :result:, ) type='DIRECTED' properties={'keywords': '"partnership, legacy"', 'description': '"Scrooge and Marley\'s is the business associated with Marley, emphasizing its history and the weight of Marley\'s legacy in shaping Scrooge\'s character."', 'weight': 6.0, 'source_id': 'chunk-5dac41b3f9eeaf794f0147400b1718cd'}> -2024-10-30 05:54:05,426 - lightrag - INFO - _check_edge_existence:query:MATCH (a:`CLERK`)-[r]-(b:`SCROOGE`) RETURN COUNT(r) > 0 AS edgeExists:result:True -2024-10-30 05:54:05,557 - lightrag - INFO - get_edge:query: - MATCH (source:`CLERK`)-[r]-(target:`SCROOGE`) - RETURN r - :result:, ) type='DIRECTED' properties={'keywords': '"employment relationship, respect"', 'description': '"The Clerk communicates with Scrooge about his work, highlighting the lack of mutual respect in their employer-employee relationship."', 'weight': 5.0, 'source_id': 'chunk-d9aac3484185ac66045df92214d245d5'}> -2024-10-30 05:54:05,691 - lightrag - INFO - _check_edge_existence:query:MATCH (a:`SCROOGE`)-[r]-(b:`THE GENTLEMEN`) RETURN COUNT(r) > 0 AS edgeExists:result:True -2024-10-30 05:54:05,825 - lightrag - INFO - get_edge:query: - MATCH (source:`SCROOGE`)-[r]-(target:`THE GENTLEMEN`) - RETURN r - :result:, ) type='DIRECTED' properties={'keywords': '"charity, social responsibility"', 'description': '"The Gentlemen approach Scrooge about donations for the poor, representing a charitable campaign that he strongly resists."', 'weight': 8.0, 'source_id': 'chunk-5dac41b3f9eeaf794f0147400b1718cd'}> -2024-10-30 05:54:05,960 - lightrag - INFO - _check_edge_existence:query:MATCH (a:`POOR AND DESTITUTE`)-[r]-(b:`SCROOGE`) RETURN COUNT(r) > 0 AS edgeExists:result:True -2024-10-30 05:54:06,095 - lightrag - INFO - get_edge:query: - MATCH (source:`POOR AND DESTITUTE`)-[r]-(target:`SCROOGE`) - RETURN r - :result:, ) type='DIRECTED' properties={'keywords': '"miserliness, social neglect"', 'description': '"Scrooge\'s reluctance to support the Poor and Destitute highlights his miserly nature and his antagonism toward societal responsibility."', 'weight': 7.0, 'source_id': 'chunk-5dac41b3f9eeaf794f0147400b1718cd'}> -2024-10-30 05:54:06,233 - lightrag - INFO - _check_edge_existence:query:MATCH (a:`CHRISTMAS-TIME`)-[r]-(b:`SCROOGE'S NEPHEW`) RETURN COUNT(r) > 0 AS edgeExists:result:True -2024-10-30 05:54:06,375 - lightrag - INFO - get_edge:query: - MATCH (source:`CHRISTMAS-TIME`)-[r]-(target:`SCROOGE'S NEPHEW`) - RETURN r - :result:, ) type='DIRECTED' properties={'keywords': '"celebration, family dynamics"', 'description': '"Scrooge\'s Nephew celebrates Christmas-Time as a period for kindness and charity, clashing with Scrooge\'s cynical view."', 'weight': 8.0, 'source_id': 'chunk-5dac41b3f9eeaf794f0147400b1718cd'}> -2024-10-30 05:54:06,511 - lightrag - INFO - _check_edge_existence:query:MATCH (a:`BEDLAM`)-[r]-(b:`SCROOGE`) RETURN COUNT(r) > 0 AS edgeExists:result:True -2024-10-30 05:54:06,645 - lightrag - INFO - get_edge:query: - MATCH (source:`BEDLAM`)-[r]-(target:`SCROOGE`) - RETURN r - :result:, ) type='DIRECTED' properties={'keywords': '"disdain, societal norms"', 'description': '"Scrooge invokes the concept of Bedlam to express his disbelief and frustration at the cheerfulness of others, implying a disdain for societal norms."', 'weight': 6.0, 'source_id': 'chunk-5dac41b3f9eeaf794f0147400b1718cd'}> -2024-10-30 05:54:06,779 - lightrag - INFO - _check_edge_existence:query:MATCH (a:`SCROOGE`)-[r]-(b:`THE GENTLEMAN`) RETURN COUNT(r) > 0 AS edgeExists:result:True -2024-10-30 05:54:06,918 - lightrag - INFO - get_edge:query: - MATCH (source:`SCROOGE`)-[r]-(target:`THE GENTLEMAN`) - RETURN r - :result:, ) type='DIRECTED' properties={'keywords': '"charity, conflict of values"', 'description': '"Scrooge and The Gentleman have opposing views on charity and helping the poor during Christmas, showing a stark contrast in values."', 'weight': 8.0, 'source_id': 'chunk-90d5764e301321c087f5a8f78b73a145'}> -2024-10-30 05:54:07,053 - lightrag - INFO - _check_edge_existence:query:MATCH (a:`THE GENTLEMAN`)-[r]-(b:`THE POOR LAW`) RETURN COUNT(r) > 0 AS edgeExists:result:True -2024-10-30 05:54:07,187 - lightrag - INFO - get_edge:query: - MATCH (source:`THE GENTLEMAN`)-[r]-(target:`THE POOR LAW`) - RETURN r - :result:, ) type='DIRECTED' properties={'keywords': '"charity, systemic support"', 'description': '"The Gentleman references the Poor Law as part of his argument for helping the needy, illustrating systemic support for the impoverished."', 'weight': 6.0, 'source_id': 'chunk-90d5764e301321c087f5a8f78b73a145'}> -2024-10-30 05:54:07,326 - lightrag - INFO - _check_edge_existence:query:MATCH (a:`THE POOR LAW`)-[r]-(b:`THE UNION WORKHOUSES`) RETURN COUNT(r) > 0 AS edgeExists:result:True -2024-10-30 05:54:07,465 - lightrag - INFO - get_edge:query: - MATCH (source:`THE POOR LAW`)-[r]-(target:`THE UNION WORKHOUSES`) - RETURN r - :result:, ) type='DIRECTED' properties={'keywords': '"support mechanisms, charity"', 'description': '"The Poor Law and Union Workhouses are connected as they both serve as mechanisms for helping the poor, albeit with differing implications for charity."', 'weight': 7.0, 'source_id': 'chunk-90d5764e301321c087f5a8f78b73a145'}> -2024-10-30 05:54:07,600 - lightrag - INFO - _check_edge_existence:query:MATCH (a:`THE LADY MAYOR`)-[r]-(b:`THE MANSION HOUSE`) RETURN COUNT(r) > 0 AS edgeExists:result:True -2024-10-30 05:54:07,734 - lightrag - INFO - get_edge:query: - MATCH (source:`THE LADY MAYOR`)-[r]-(target:`THE MANSION HOUSE`) - RETURN r - :result:, ) type='DIRECTED' properties={'keywords': '"holiday preparations, community significance"', 'description': '"The Lady Mayor prepares for Christmas festivities at the Mansion House, highlighting the importance of the event to the community."', 'weight': 8.0, 'source_id': 'chunk-90d5764e301321c087f5a8f78b73a145'}> -2024-10-30 05:54:07,874 - lightrag - INFO - _check_edge_existence:query:MATCH (a:`BOB CRATCHIT`)-[r]-(b:`SCROOGE`) RETURN COUNT(r) > 0 AS edgeExists:result:True -2024-10-30 05:54:08,008 - lightrag - INFO - get_edge:query: - MATCH (source:`BOB CRATCHIT`)-[r]-(target:`SCROOGE`) - RETURN r - :result:, ) type='DIRECTED' properties={'keywords': '"employment, generosity""employment, power dynamic""employment, social reflection""family dynamics, acknowledgment""generosity, relationship change""gratitude, redemption"', 'description': '"Bob Cratchit tries to maintain a positive atmosphere during the Christmas feast despite the negative association with Scrooge.""Bob praises Scrooge as \'The Founder of the Feast\', showing appreciation despite Scrooge’s previous miserliness.""Scrooge decides to send a turkey to Bob Cratchit, indicating a newfound kindness towards him and his family.""Scrooge is Bob Cratchit\'s employer, and he reflects on the challenges Bob faces regarding family and food on Christmas Day.".""Scrooge is the employer of Bob Cratchit, demonstrating a power dynamic characterized by Scrooge\'s harsh treatment and Bob\'s subservient role.""Scrooge reprimands Bob for arriving late, but ultimately decides to raise his salary, signaling a significant change in their employer-employee relationship."', 'weight': 40.0, 'source_id': 'chunk-503f0bfa5453467c7c61d160a3540ecachunk-90b95db5c53e4364a6bee36b7aa4d70fchunk-b0f459f5af1c3a5e0b92cbe4ee48b77bchunk-d9aac3484185ac66045df92214d245d5chunk-94bea83e7153fc2064aa382b494936a1chunk-19d72c57ae3408758b18d2568e86dc6b'}> -2024-10-30 05:54:08,147 - lightrag - INFO - _check_edge_existence:query:MATCH (a:`CHRISTMAS EVE`)-[r]-(b:`SCROOGE`) RETURN COUNT(r) > 0 AS edgeExists:result:True -2024-10-30 05:54:08,281 - lightrag - INFO - get_edge:query: - MATCH (source:`CHRISTMAS EVE`)-[r]-(target:`SCROOGE`) - RETURN r - :result:, ) type='DIRECTED' properties={'keywords': '"holiday spirit, character development"', 'description': '"Scrooge\'s actions and attitudes towards Christmas Eve highlight his disdain for traditional celebrations, setting the tone for his character arc."', 'weight': 8.0, 'source_id': 'chunk-d9aac3484185ac66045df92214d245d5'}> -2024-10-30 05:54:08,425 - lightrag - INFO - _check_edge_existence:query:MATCH (a:`BOB CRATCHIT`)-[r]-(b:`CHRISTMAS EVE`) RETURN COUNT(r) > 0 AS edgeExists:result:True -2024-10-30 05:54:08,559 - lightrag - INFO - get_edge:query: - MATCH (source:`BOB CRATCHIT`)-[r]-(target:`CHRISTMAS EVE`) - RETURN r - :result:, ) type='DIRECTED' properties={'keywords': '"celebration, contrast"', 'description': '"Bob Cratchit embodies the joy of Christmas Eve while Scrooge\'s perspective starkly contrasts with Bob\'s happiness during the holiday season."', 'weight': 5.0, 'source_id': 'chunk-d9aac3484185ac66045df92214d245d5'}> -2024-10-30 05:54:08,695 - lightrag - INFO - _check_edge_existence:query:MATCH (a:`SCROOGE`)-[r]-(b:`THE COUNTING-HOUSE`) RETURN COUNT(r) > 0 AS edgeExists:result:True -2024-10-30 05:54:08,828 - lightrag - INFO - get_edge:query: - MATCH (source:`SCROOGE`)-[r]-(target:`THE COUNTING-HOUSE`) - RETURN r - :result:, ) type='DIRECTED' properties={'keywords': '"work environment, character development""work environment, personality reflection"', 'description': '"Scrooge\'s work environment reflects his personality, being cold and uninviting, mirroring his discontent with life.""The Counting-House is where Scrooge works, illustrating the environment that shapes his bleak personality."', 'weight': 14.0, 'source_id': 'chunk-d9aac3484185ac66045df92214d245d5chunk-74e2466de2f67fd710ef2f20c0a8d9e0'}> -2024-10-30 05:54:08,968 - lightrag - INFO - _check_edge_existence:query:MATCH (a:`SCROOGE`)-[r]-(b:`THE KNOCKER`) RETURN COUNT(r) > 0 AS edgeExists:result:True -2024-10-30 05:54:09,101 - lightrag - INFO - get_edge:query: - MATCH (source:`SCROOGE`)-[r]-(target:`THE KNOCKER`) - RETURN r - :result:, ) type='DIRECTED' properties={'keywords': '"appreciation, transformation""symbolism, transformation"', 'description': '"Scrooge admires the knocker at his door, marking a positive change in his attitude towards life and surroundings.""The Knocker, transforming into Marley\'s face, symbolizes Scrooge\'s ghostly past and impending redemption challenges."', 'weight': 15.0, 'source_id': 'chunk-d9aac3484185ac66045df92214d245d5chunk-8f738cb25d60a7dab782162d9d0a25ed'}> -2024-10-30 05:54:09,235 - lightrag - INFO - _check_edge_existence:query:MATCH (a:`SCROOGE`)-[r]-(b:`THE YARD`) RETURN COUNT(r) > 0 AS edgeExists:result:True -2024-10-30 05:54:09,372 - lightrag - INFO - get_edge:query: - MATCH (source:`SCROOGE`)-[r]-(target:`THE YARD`) - RETURN r - :result:, ) type='DIRECTED' properties={'keywords': '"isolation, emotional landscape"', 'description': '"The Yard represents the isolation in Scrooge\'s life, physically and metaphorically reflecting his emotional state."', 'weight': 8.0, 'source_id': 'chunk-d9aac3484185ac66045df92214d245d5'}> -2024-10-30 05:54:09,510 - lightrag - INFO - _check_edge_existence:query:MATCH (a:`SCROOGE`)-[r]-(b:`THE FOG AND FROST`) RETURN COUNT(r) > 0 AS edgeExists:result:True -2024-10-30 05:54:09,640 - lightrag - INFO - get_edge:query: - MATCH (source:`SCROOGE`)-[r]-(target:`THE FOG AND FROST`) - RETURN r - :result:, ) type='DIRECTED' properties={'keywords': '"atmosphere, emotional coldness"', 'description': '"The Fog and Frost enveloping Scrooge\'s home reflect the chilling atmosphere of his life and his emotional coldness."', 'weight': 7.0, 'source_id': 'chunk-d9aac3484185ac66045df92214d245d5'}> -2024-10-30 05:54:09,771 - lightrag - INFO - _check_edge_existence:query:MATCH (a:`BOB CRATCHIT`)-[r]-(b:`THE COUNTING-HOUSE CLERK`) RETURN COUNT(r) > 0 AS edgeExists:result:True -2024-10-30 05:54:09,906 - lightrag - INFO - get_edge:query: - MATCH (source:`BOB CRATCHIT`)-[r]-(target:`THE COUNTING-HOUSE CLERK`) - RETURN r - :result:, ) type='DIRECTED' properties={'keywords': '"workforce dynamics, character contrast"', 'description': '"Bob Cratchit and The Counting-House Clerk represent the working class under Scrooge\'s employment, showcasing different character traits in the context of their work."', 'weight': 6.0, 'source_id': 'chunk-d9aac3484185ac66045df92214d245d5'}> -2024-10-30 05:54:10,050 - lightrag - INFO - _check_edge_existence:query:MATCH (a:`SCROOGE`)-[r]-(b:`THE GHOST OF MARLEY`) RETURN COUNT(r) > 0 AS edgeExists:result:True -2024-10-30 05:54:10,187 - lightrag - INFO - get_edge:query: - MATCH (source:`SCROOGE`)-[r]-(target:`THE GHOST OF MARLEY`) - RETURN r - :result:, ) type='DIRECTED' properties={'keywords': '"supernatural, moral reckoning"', 'description': '"The Ghost of Marley symbolizes Scrooge\'s past mistakes and serves as a catalyst for his transformation."', 'weight': 9.0, 'source_id': 'chunk-d9aac3484185ac66045df92214d245d5'}> -2024-10-30 05:54:10,329 - lightrag - INFO - _check_edge_existence:query:MATCH (a:`BOB CRATCHIT`)-[r]-(b:`CAMDEN TOWN`) RETURN COUNT(r) > 0 AS edgeExists:result:True -2024-10-30 05:54:10,466 - lightrag - INFO - get_edge:query: - MATCH (source:`BOB CRATCHIT`)-[r]-(target:`CAMDEN TOWN`) - RETURN r - :result:, ) type='DIRECTED' properties={'keywords': '"contrast, warmth"', 'description': '"Camden Town serves as a location representing warmth and family contrast to Scrooge\'s loneliness."', 'weight': 6.0, 'source_id': 'chunk-d9aac3484185ac66045df92214d245d5'}> -2024-10-30 05:54:10,601 - lightrag - INFO - _check_edge_existence:query:MATCH (a:`THE CANDLE`)-[r]-(b:`THE FOG AND FROST`) RETURN COUNT(r) > 0 AS edgeExists:result:True -2024-10-30 05:54:10,733 - lightrag - INFO - get_edge:query: - MATCH (source:`THE CANDLE`)-[r]-(target:`THE FOG AND FROST`) - RETURN r - :result:, ) type='DIRECTED' properties={'keywords': '"hope, contrast"', 'description': '"The Candle symbolizes a flicker of warmth and hope in the bleak setting of Fog and Frost, contrasting the overall atmosphere."', 'weight': 6.0, 'source_id': 'chunk-d9aac3484185ac66045df92214d245d5'}> -2024-10-30 05:54:10,872 - lightrag - INFO - _check_edge_existence:query:MATCH (a:`SCROOGE`)-[r]-(b:`THE HOUSE`) RETURN COUNT(r) > 0 AS edgeExists:result:True -2024-10-30 05:54:11,004 - lightrag - INFO - get_edge:query: - MATCH (source:`SCROOGE`)-[r]-(target:`THE HOUSE`) - RETURN r - :result:, ) type='DIRECTED' properties={'keywords': '"haunting, setting influence"', 'description': '"Scrooge\'s experiences with Marley\'s Ghost occur within The House, which plays a crucial role in the haunting atmosphere."', 'weight': 8.0, 'source_id': 'chunk-9c43dac2fcd5b578242d907ea6f8fc7b'}> -2024-10-30 05:54:11,138 - lightrag - INFO - _check_edge_existence:query:MATCH (a:`MARLEY`)-[r]-(b:`THE GHOST`) RETURN COUNT(r) > 0 AS edgeExists:result:True -2024-10-30 05:54:11,274 - lightrag - INFO - get_edge:query: - MATCH (source:`MARLEY`)-[r]-(target:`THE GHOST`) - RETURN r - :result:, ) type='DIRECTED' properties={'keywords': '"haunting, past choices"', 'description': '"Marley is the embodiment of The Ghost that appears to Scrooge, representing past choices and the consequences of his actions."', 'weight': 9.0, 'source_id': 'chunk-9c43dac2fcd5b578242d907ea6f8fc7b'}> -2024-10-30 05:54:11,414 - lightrag - INFO - _check_edge_existence:query:MATCH (a:`SCROOGE`)-[r]-(b:`THE BELL`) RETURN COUNT(r) > 0 AS edgeExists:result:True -2024-10-30 05:54:11,550 - lightrag - INFO - get_edge:query: - MATCH (source:`SCROOGE`)-[r]-(target:`THE BELL`) - RETURN r - :result:, ) type='DIRECTED' properties={'keywords': '"foreboding, supernatural"', 'description': '"The Bell\'s movement and sound foreshadow Marley\'s Ghost\'s appearance, enhancing the sense of impending supernatural activity in Scrooge\'s environment."', 'weight': 8.0, 'source_id': 'chunk-9c43dac2fcd5b578242d907ea6f8fc7b'}> -2024-10-30 05:54:11,685 - lightrag - INFO - _check_edge_existence:query:MATCH (a:`MARLEY`)-[r]-(b:`THE HEAVY CHAIN`) RETURN COUNT(r) > 0 AS edgeExists:result:True -2024-10-30 05:54:11,820 - lightrag - INFO - get_edge:query: - MATCH (source:`MARLEY`)-[r]-(target:`THE HEAVY CHAIN`) - RETURN r - :result:, ) type='DIRECTED' properties={'keywords': '"burden, consequence"', 'description': '"The Heavy Chain is linked to Marley as it suggests the burdens he carries from his earthly life, which he now haunts Scrooge with."', 'weight': 9.0, 'source_id': 'chunk-9c43dac2fcd5b578242d907ea6f8fc7b'}> -2024-10-30 05:54:11,958 - lightrag - INFO - _check_edge_existence:query:MATCH (a:`SCROOGE`)-[r]-(b:`THE WINE-MERCHANT'S CELLAR`) RETURN COUNT(r) > 0 AS edgeExists:result:True -2024-10-30 05:54:12,092 - lightrag - INFO - get_edge:query: - MATCH (source:`SCROOGE`)-[r]-(target:`THE WINE-MERCHANT'S CELLAR`) - RETURN r - :result:, ) type='DIRECTED' properties={'keywords': '"atmosphere, haunting"', 'description': '"Scrooge hears the dragging chains from The Wine-Merchant\'s Cellar, indicating that the haunting presence is felt throughout The House."', 'weight': 8.0, 'source_id': 'chunk-9c43dac2fcd5b578242d907ea6f8fc7b'}> -2024-10-30 05:54:12,227 - lightrag - INFO - _check_edge_existence:query:MATCH (a:`SCROOGE`)-[r]-(b:`THE GRATE`) RETURN COUNT(r) > 0 AS edgeExists:result:True -2024-10-30 05:54:12,363 - lightrag - INFO - get_edge:query: - MATCH (source:`SCROOGE`)-[r]-(target:`THE GRATE`) - RETURN r - :result:, ) type='DIRECTED' properties={'keywords': '"isolation, setting mood"', 'description': '"The Grate\'s cold fire adds to the bleak setting of Scrooge\'s home, illustrating his disconnection from warmth and comfort before the supernatural events unfold."', 'weight': 6.0, 'source_id': 'chunk-9c43dac2fcd5b578242d907ea6f8fc7b'}> -2024-10-30 05:54:12,502 - lightrag - INFO - _check_edge_existence:query:MATCH (a:`SCROOGE`)-[r]-(b:`THE DYING FLAME`) RETURN COUNT(r) > 0 AS edgeExists:result:True -2024-10-30 05:54:12,635 - lightrag - INFO - get_edge:query: - MATCH (source:`SCROOGE`)-[r]-(target:`THE DYING FLAME`) - RETURN r - :result:, ) type='DIRECTED' properties={'keywords': '"fear, conflict"', 'description': '"The Dying Flame\'s flickering is reflective of Scrooge\'s fear and mental state in the presence of the ghost, amplifying his internal conflict."', 'weight': 8.0, 'source_id': 'chunk-9c43dac2fcd5b578242d907ea6f8fc7b'}> -2024-10-30 05:54:12,770 - lightrag - INFO - _check_edge_existence:query:MATCH (a:`MARLEY'S GHOST`)-[r]-(b:`SCROOGE`) RETURN COUNT(r) > 0 AS edgeExists:result:True -2024-10-30 05:54:12,902 - lightrag - INFO - get_edge:query: - MATCH (source:`MARLEY'S GHOST`)-[r]-(target:`SCROOGE`) - RETURN r - :result:, ) type='DIRECTED' properties={'keywords': '"supernatural confrontation, regret""warning, fate"', 'description': '"Marley\'s Ghost warns Scrooge about the consequences of his actions and the visits of the three spirits, setting the stage for his transformation.""Scrooge is haunted by Marley\'s Ghost, which confronts him as a part of a supernatural occurrence meant to incite fear and reflection on his life choices."', 'weight': 18.0, 'source_id': 'chunk-9c43dac2fcd5b578242d907ea6f8fc7bchunk-cb661c37436355ccec2769b1d0350c5f'}> -2024-10-30 05:54:13,040 - lightrag - INFO - _check_edge_existence:query:MATCH (a:`JACOB MARLEY`)-[r]-(b:`MARLEY'S GHOST`) RETURN COUNT(r) > 0 AS edgeExists:result:True -2024-10-30 05:54:13,183 - lightrag - INFO - get_edge:query: - MATCH (source:`JACOB MARLEY`)-[r]-(target:`MARLEY'S GHOST`) - RETURN r - :result:, ) type='DIRECTED' properties={'keywords': '"past partnership, redemption"', 'description': '"Jacob Marley is the entity represented by Marley\'s Ghost, embodying the warning about the repercussions of a life focused solely on material gain."', 'weight': 9.0, 'source_id': 'chunk-1aa50206d02ed89418f65f97c6441d1c'}> -2024-10-30 05:54:13,327 - lightrag - INFO - _check_edge_existence:query:MATCH (a:`GHOST`)-[r]-(b:`SCROOGE`) RETURN COUNT(r) > 0 AS edgeExists:result:True -2024-10-30 05:54:13,465 - lightrag - INFO - get_edge:query: - MATCH (source:`GHOST`)-[r]-(target:`SCROOGE`) - RETURN r - :result:, ) type='DIRECTED' properties={'keywords': '"reflection, self-discovery""spiritual guidance, transformation"', 'description': '"The Ghost guides Scrooge through reflections of his past, influencing his journey toward redemption.""The Ghost takes Scrooge on a journey to teach him lessons about generosity and compassion towards others."', 'weight': 17.0, 'source_id': 'chunk-c6c248858d1b13ab7ee9ca13c1aeed6bchunk-e7637ff18c5ded77a68cce0a87883fad'}> -2024-10-30 05:54:13,607 - lightrag - INFO - _check_edge_existence:query:MATCH (a:`GHOST`)-[r]-(b:`JACOB MARLEY`) RETURN COUNT(r) > 0 AS edgeExists:result:True -2024-10-30 05:54:13,739 - lightrag - INFO - get_edge:query: - MATCH (source:`GHOST`)-[r]-(target:`JACOB MARLEY`) - RETURN r - :result:, ) type='DIRECTED' properties={'keywords': '"identity, remorse"', 'description': '"The Ghost is revealed to be Jacob Marley, who embodies the regret of a wasted life and the importance of personal responsibility."', 'weight': 10.0, 'source_id': 'chunk-359187e7571bda4b0b08b2e0b6581e52'}> -2024-10-30 05:54:13,878 - lightrag - INFO - _check_edge_existence:query:MATCH (a:`JACOB MARLEY`)-[r]-(b:`SCROOGE`) RETURN COUNT(r) > 0 AS edgeExists:result:True -2024-10-30 05:54:14,009 - lightrag - INFO - get_edge:query: - MATCH (source:`JACOB MARLEY`)-[r]-(target:`SCROOGE`) - RETURN r - :result:, ) type='DIRECTED' properties={'keywords': '"catalyst for change, supernatural guidance""past influence, warning""redemption, moral lesson""supernatural encounter, past ties""transformation, influence""warning, transformation"', 'description': '"Jacob Marley is the spirit who brings forth the need for Scrooge to change his ways, impacting his character development.""Scrooge confronts Jacob Marley, his former business partner, who returns as a ghost to influence Scrooge\'s perspective on life and his actions.""Scrooge converses with the ghost of Jacob Marley, who tries to guide him toward understanding the importance of compassion and the consequences of his actions.""Scrooge interacts with Jacob Marley, who serves as a critical warning for Scrooge to change his ways before it\'s too late.""Scrooge reflects on Jacob Marley’s past warnings, which serve as a catalyst for his transformation.""Scrooge\'s transformation is prompted by the appearance and message of Jacob Marley, his former business partner."', 'weight': 54.0, 'source_id': 'chunk-90b95db5c53e4364a6bee36b7aa4d70fchunk-1aa50206d02ed89418f65f97c6441d1cchunk-02baee20cc9463dbe08170a8e1043e32chunk-91572b3cd42786ba4cb2f180ca25cbf4chunk-da2472b4ef2a535b62908f14d0fb0ca9chunk-359187e7571bda4b0b08b2e0b6581e52'}> -2024-10-30 05:54:14,145 - lightrag - INFO - _check_edge_existence:query:MATCH (a:`GHOST`)-[r]-(b:`MANKIND`) RETURN COUNT(r) > 0 AS edgeExists:result:True -2024-10-30 05:54:14,280 - lightrag - INFO - get_edge:query: - MATCH (source:`GHOST`)-[r]-(target:`MANKIND`) - RETURN r - :result:, ) type='DIRECTED' properties={'keywords': '"moral duty, call to action"', 'description': '"The Ghost emphasizes that Mankind was his true business in life, urging Scrooge to focus on the welfare of others."', 'weight': 9.0, 'source_id': 'chunk-359187e7571bda4b0b08b2e0b6581e52'}> -2024-10-30 05:54:14,421 - lightrag - INFO - _check_edge_existence:query:MATCH (a:`CHRISTMAS EVES`)-[r]-(b:`SCROOGE`) RETURN COUNT(r) > 0 AS edgeExists:result:True -2024-10-30 05:54:14,557 - lightrag - INFO - get_edge:query: - MATCH (source:`CHRISTMAS EVES`)-[r]-(target:`SCROOGE`) - RETURN r - :result:, ) type='DIRECTED' properties={'keywords': '"time of reflection, redemption"', 'description': '"Christmas Eves symbolize a critical time for self-reflection and understanding one\'s past decisions, linking to Scrooge\'s journey of redemption."', 'weight': 7.0, 'source_id': 'chunk-359187e7571bda4b0b08b2e0b6581e52'}> -2024-10-30 05:54:14,698 - lightrag - INFO - _check_edge_existence:query:MATCH (a:`ETERNAL CHAIN`)-[r]-(b:`GHOST`) RETURN COUNT(r) > 0 AS edgeExists:result:True -2024-10-30 05:54:14,829 - lightrag - INFO - get_edge:query: - MATCH (source:`ETERNAL CHAIN`)-[r]-(target:`GHOST`) - RETURN r - :result:, ) type='DIRECTED' properties={'keywords': '"burden, regret"', 'description': '"The Ghost describes the Eternal Chain as a symbol of the burdens he carries due to his life choices, emphasizing the consequences of neglecting humanity."', 'weight': 9.0, 'source_id': 'chunk-359187e7571bda4b0b08b2e0b6581e52'}> -2024-10-30 05:54:14,975 - lightrag - INFO - _check_edge_existence:query:MATCH (a:`STAR`)-[r]-(b:`WISE MEN`) RETURN COUNT(r) > 0 AS edgeExists:result:True -2024-10-30 05:54:15,114 - lightrag - INFO - get_edge:query: - MATCH (source:`STAR`)-[r]-(target:`WISE MEN`) - RETURN r - :result:, ) type='DIRECTED' properties={'keywords': '"guidance, generosity"', 'description': '"The Star guided the Wise Men to recognize the importance of giving, which relates to the values that the Ghost tries to impart to Scrooge."', 'weight': 7.0, 'source_id': 'chunk-359187e7571bda4b0b08b2e0b6581e52'}> -2024-10-30 05:54:15,252 - lightrag - INFO - _check_edge_existence:query:MATCH (a:`FELLOW-BEINGS`)-[r]-(b:`SCROOGE`) RETURN COUNT(r) > 0 AS edgeExists:result:True -2024-10-30 05:54:15,383 - lightrag - INFO - get_edge:query: - MATCH (source:`FELLOW-BEINGS`)-[r]-(target:`SCROOGE`) - RETURN r - :result:, ) type='DIRECTED' properties={'keywords': '"neglect, realization"', 'description': '"Scrooge is confronted with his past choices to ignore Fellow-beings, leading to a realization of his moral failures."', 'weight': 8.0, 'source_id': 'chunk-359187e7571bda4b0b08b2e0b6581e52'}> -2024-10-30 05:54:15,525 - lightrag - INFO - _check_edge_existence:query:MATCH (a:`CHRISTMAS SPIRIT`)-[r]-(b:`GHOST`) RETURN COUNT(r) > 0 AS edgeExists:result:True -2024-10-30 05:54:15,668 - lightrag - INFO - get_edge:query: - MATCH (source:`CHRISTMAS SPIRIT`)-[r]-(target:`GHOST`) - RETURN r - :result:, ) type='DIRECTED' properties={'keywords': '"values, transformation"', 'description': '"The Ghost embodies the Christmas Spirit\'s values of compassion and kindness, urging Scrooge to reconsider his way of living."', 'weight': 9.0, 'source_id': 'chunk-359187e7571bda4b0b08b2e0b6581e52'}> -2024-10-30 05:54:15,804 - lightrag - INFO - _check_edge_existence:query:MATCH (a:`GHOST`)-[r]-(b:`SPECTRE`) RETURN COUNT(r) > 0 AS edgeExists:result:True -2024-10-30 05:54:15,932 - lightrag - INFO - get_edge:query: - MATCH (source:`GHOST`)-[r]-(target:`SPECTRE`) - RETURN r - :result:, ) type='DIRECTED' properties={'keywords': '"identity, motivation"', 'description': '"The Spectre is synonymous with the Ghost, representing the collective spirit urging Scrooge to change his ways."', 'weight': 10.0, 'source_id': 'chunk-359187e7571bda4b0b08b2e0b6581e52'}> -2024-10-30 05:54:16,067 - lightrag - INFO - _check_edge_existence:query:MATCH (a:`JACOB MARLEY`)-[r]-(b:`THE THREE SPIRITS`) RETURN COUNT(r) > 0 AS edgeExists:result:True -2024-10-30 05:54:16,203 - lightrag - INFO - get_edge:query: - MATCH (source:`JACOB MARLEY`)-[r]-(target:`THE THREE SPIRITS`) - RETURN r - :result:, ) type='DIRECTED' properties={'keywords': '"guidance, redemption"', 'description': '"Jacob Marley indicates that Scrooge will be visited by The Three Spirits to offer him guidance and the chance for redemption."', 'weight': 8.0, 'source_id': 'chunk-cb661c37436355ccec2769b1d0350c5f'}> -2024-10-30 05:54:16,350 - lightrag - INFO - _check_edge_existence:query:MATCH (a:`SCROOGE`)-[r]-(b:`THE GHOST`) RETURN COUNT(r) > 0 AS edgeExists:result:True -2024-10-30 05:54:16,485 - lightrag - INFO - get_edge:query: - MATCH (source:`SCROOGE`)-[r]-(target:`THE GHOST`) - RETURN r - :result:, ) type='DIRECTED' properties={'keywords': '"guidance, transformation""memory, influence""reflection, guidance""self-reflection, transformation"', 'description': '"Scrooge\'s engagement with The Ghost prompts a significant emotional and psychological transformation as he confronts his past.""The Ghost guides Scrooge through visions of his past, forcing him to confront his choices and their consequences.""The Ghost influences Scrooge\'s reflections on his past and his current emotions regarding Christmas festivities.""The Ghost serves as a catalyst for Scrooge\'s reflections, guiding him to confront his past and feelings about Christmas."', 'weight': 35.0, 'source_id': 'chunk-da2472b4ef2a535b62908f14d0fb0ca9chunk-43c9bee23adfa77aa9dedd22401bba7dchunk-54bdd22db1f84a965b5f4c06c9216d8dchunk-8590d9263cd2cd4fa583c432fc54e6c3'}> -2024-10-30 05:54:16,624 - lightrag - INFO - _check_edge_existence:query:MATCH (a:`SCROOGE`)-[r]-(b:`THE PHANTOM VOICES`) RETURN COUNT(r) > 0 AS edgeExists:result:True -2024-10-30 05:54:16,758 - lightrag - INFO - get_edge:query: - MATCH (source:`SCROOGE`)-[r]-(target:`THE PHANTOM VOICES`) - RETURN r - :result:, ) type='DIRECTED' properties={'keywords': '"regret, lost opportunities"', 'description': '"Scrooge hears the lamentations of The Phantom Voices, reflecting his connection to the spirits of the lost and the consequences of his life choices."', 'weight': 6.0, 'source_id': 'chunk-cb661c37436355ccec2769b1d0350c5f'}> -2024-10-30 05:54:16,899 - lightrag - INFO - _check_edge_existence:query:MATCH (a:`SCROOGE`)-[r]-(b:`THE WINDOW`) RETURN COUNT(r) > 0 AS edgeExists:result:True -2024-10-30 05:54:17,036 - lightrag - INFO - get_edge:query: - MATCH (source:`SCROOGE`)-[r]-(target:`THE WINDOW`) - RETURN r - :result:, ) type='DIRECTED' properties={'keywords': '"curiosity, fear"', 'description': '"Scrooge approaches The Window, which acts as a portal to the outside world and the supernatural, illustrating his curiosity and fear."', 'weight': 5.0, 'source_id': 'chunk-cb661c37436355ccec2769b1d0350c5f'}> -2024-10-30 05:54:17,176 - lightrag - INFO - _check_edge_existence:query:MATCH (a:`MARLEY'S GHOST`)-[r]-(b:`THE CHAIN`) RETURN COUNT(r) > 0 AS edgeExists:result:True -2024-10-30 05:54:17,312 - lightrag - INFO - get_edge:query: - MATCH (source:`MARLEY'S GHOST`)-[r]-(target:`THE CHAIN`) - RETURN r - :result:, ) type='DIRECTED' properties={'keywords': '"regret, warning"', 'description': '"Marley\'s Ghost is bound by The Chain, which symbolizes his regrets and serves as a warning to Scrooge about the consequences of his own actions."', 'weight': 9.0, 'source_id': 'chunk-cb661c37436355ccec2769b1d0350c5f'}> -2024-10-30 05:54:17,452 - lightrag - INFO - _check_edge_existence:query:MATCH (a:`SCROOGE`)-[r]-(b:`THE CLOCK`) RETURN COUNT(r) > 0 AS edgeExists:result:True -2024-10-30 05:54:17,587 - lightrag - INFO - get_edge:query: - MATCH (source:`SCROOGE`)-[r]-(target:`THE CLOCK`) - RETURN r - :result:, ) type='DIRECTED' properties={'keywords': '"time distortion, confusion"', 'description': '"Scrooge\'s interaction with the faulty clock symbolizes his disconnection from time and reality, as he struggles to comprehend his experiences."', 'weight': 6.0, 'source_id': 'chunk-cb661c37436355ccec2769b1d0350c5f'}> -2024-10-30 05:54:17,720 - lightrag - INFO - _check_edge_existence:query:MATCH (a:`SCROOGE`)-[r]-(b:`THE DARKNESS`) RETURN COUNT(r) > 0 AS edgeExists:result:True -2024-10-30 05:54:17,855 - lightrag - INFO - get_edge:query: - MATCH (source:`SCROOGE`)-[r]-(target:`THE DARKNESS`) - RETURN r - :result:, ) type='DIRECTED' properties={'keywords': '"internal struggle, unknown"', 'description': '"Scrooge finds himself enveloped by The Darkness, representing his internal struggle and the unknown future he faces."', 'weight': 6.0, 'source_id': 'chunk-cb661c37436355ccec2769b1d0350c5f'}> -2024-10-30 05:54:17,992 - lightrag - INFO - _check_edge_existence:query:MATCH (a:`CLOCK`)-[r]-(b:`SCROOGE`) RETURN COUNT(r) > 0 AS edgeExists:result:True -2024-10-30 05:54:18,125 - lightrag - INFO - get_edge:query: - MATCH (source:`CLOCK`)-[r]-(target:`SCROOGE`) - RETURN r - :result:, ) type='DIRECTED' properties={'keywords': '"time symbolism, anxiety"', 'description': '"Scrooge\'s observations of the Clock reflect his anxiety over time and the supernatural events unfolding around him."', 'weight': 7.0, 'source_id': 'chunk-c7b10789a9cb0af6c553730b29bd9034'}> -2024-10-30 05:54:18,263 - lightrag - INFO - _check_edge_existence:query:MATCH (a:`SCROOGE`)-[r]-(b:`SPIRIT`) RETURN COUNT(r) > 0 AS edgeExists:result:True -2024-10-30 05:54:18,395 - lightrag - INFO - get_edge:query: - MATCH (source:`SCROOGE`)-[r]-(target:`SPIRIT`) - RETURN r - :result:, ) type='DIRECTED' properties={'keywords': '"guidance, emotional journey""guidance, transformation""personal growth, spiritual journey""reflection, guidance"', 'description': '"Scrooge engages with the Spirit, who guides him through reflections on his life and warns him of societal issues.""Scrooge learns from the Spirit about the consequences of his actions and the sentiments evoked by death, leading to personal growth.""Scrooge’s interaction with the Spirit emphasizes the emotional weight of his past decisions and feelings as they relate to his transformation.""The Spirit directly influences Scrooge’s transformation and highlights the importance of compassion in human life."', 'weight': 34.0, 'source_id': 'chunk-02baee20cc9463dbe08170a8e1043e32chunk-bb21d58d36c6306fd8810ddd51c4a971chunk-83ac129dc9b56f84c46760d153d68e93chunk-e7637ff18c5ded77a68cce0a87883fad'}> -2024-10-30 05:54:18,531 - lightrag - INFO - _check_edge_existence:query:MATCH (a:`GHOST OF CHRISTMAS PAST`)-[r]-(b:`WINTER DAY`) RETURN COUNT(r) > 0 AS edgeExists:result:True -2024-10-30 05:54:18,665 - lightrag - INFO - get_edge:query: - MATCH (source:`GHOST OF CHRISTMAS PAST`)-[r]-(target:`WINTER DAY`) - RETURN r - :result:, ) type='DIRECTED' properties={'keywords': '"nostalgia, memory"', 'description': '"The Ghost leads Scrooge to experience a winter day from his memories, emphasizing feelings of nostalgia and longing."', 'weight': 9.0, 'source_id': 'chunk-bb21d58d36c6306fd8810ddd51c4a971'}> -2024-10-30 05:54:18,799 - lightrag - INFO - _check_edge_existence:query:MATCH (a:`MARKET-TOWN`)-[r]-(b:`SCROOGE`) RETURN COUNT(r) > 0 AS edgeExists:result:True -2024-10-30 05:54:18,933 - lightrag - INFO - get_edge:query: - MATCH (source:`MARKET-TOWN`)-[r]-(target:`SCROOGE`) - RETURN r - :result:, ) type='DIRECTED' properties={'keywords': '"nostalgia, memory"', 'description': '"Scrooge recognizes the Market-Town, eliciting fond memories from his childhood and emphasizing his emotional response to the past."', 'weight': 7.0, 'source_id': 'chunk-bb21d58d36c6306fd8810ddd51c4a971'}> -2024-10-30 05:54:19,070 - lightrag - INFO - _check_edge_existence:query:MATCH (a:`BOYS`)-[r]-(b:`SCROOGE`) RETURN COUNT(r) > 0 AS edgeExists:result:True -2024-10-30 05:54:19,205 - lightrag - INFO - get_edge:query: - MATCH (source:`BOYS`)-[r]-(target:`SCROOGE`) - RETURN r - :result:, ) type='DIRECTED' properties={'keywords': '"joy, childhood memories"', 'description': '"Scrooge feels joy upon seeing the boys, evoking memories of childhood experiences and emotions associated with them."', 'weight': 7.0, 'source_id': 'chunk-bb21d58d36c6306fd8810ddd51c4a971'}> -2024-10-30 05:54:19,343 - lightrag - INFO - _check_edge_existence:query:MATCH (a:`BOYS`)-[r]-(b:`SHAGGY PONIES`) RETURN COUNT(r) > 0 AS edgeExists:result:True -2024-10-30 05:54:19,480 - lightrag - INFO - get_edge:query: - MATCH (source:`BOYS`)-[r]-(target:`SHAGGY PONIES`) - RETURN r - :result:, ) type='DIRECTED' properties={'keywords': '"playfulness, childhood"', 'description': '"The boys interact with the shaggy ponies, highlighting the carefree and playful nature of youth in Scrooge\'s memories."', 'weight': 6.0, 'source_id': 'chunk-bb21d58d36c6306fd8810ddd51c4a971'}> -2024-10-30 05:54:19,621 - lightrag - INFO - _check_edge_existence:query:MATCH (a:`BRIDGE`)-[r]-(b:`SCROOGE`) RETURN COUNT(r) > 0 AS edgeExists:result:True -2024-10-30 05:54:19,757 - lightrag - INFO - get_edge:query: - MATCH (source:`BRIDGE`)-[r]-(target:`SCROOGE`) - RETURN r - :result:, ) type='DIRECTED' properties={'keywords': '"memory, landmark"', 'description': '"The bridge serves as a significant landmark in Scrooge\'s past, reminding him of his childhood and former happiness."', 'weight': 7.0, 'source_id': 'chunk-bb21d58d36c6306fd8810ddd51c4a971'}> -2024-10-30 05:54:19,894 - lightrag - INFO - _check_edge_existence:query:MATCH (a:`CHURCH`)-[r]-(b:`SCROOGE`) RETURN COUNT(r) > 0 AS edgeExists:result:True -2024-10-30 05:54:20,029 - lightrag - INFO - get_edge:query: - MATCH (source:`CHURCH`)-[r]-(target:`SCROOGE`) - RETURN r - :result:, ) type='DIRECTED' properties={'keywords': '"community, contrast"', 'description': '"The church symbolizes the community and settings of Scrooge\'s past, highlighting the contrast between then and now."', 'weight': 8.0, 'source_id': 'chunk-bb21d58d36c6306fd8810ddd51c4a971'}> -2024-10-30 05:54:20,171 - lightrag - INFO - _check_edge_existence:query:MATCH (a:`SCROOGE`)-[r]-(b:`WINDING RIVER`) RETURN COUNT(r) > 0 AS edgeExists:result:True -2024-10-30 05:54:20,306 - lightrag - INFO - get_edge:query: - MATCH (source:`SCROOGE`)-[r]-(target:`WINDING RIVER`) - RETURN r - :result:, ) type='DIRECTED' properties={'keywords': '"nostalgia, memory"', 'description': '"The winding river evokes memories and emotions for Scrooge, connecting him to his past experiences and places."', 'weight': 8.0, 'source_id': 'chunk-bb21d58d36c6306fd8810ddd51c4a971'}> -2024-10-30 05:54:20,443 - lightrag - INFO - _check_edge_existence:query:MATCH (a:`GHOST OF CHRISTMAS PAST`)-[r]-(b:`SCROOGE'S MEMORIES`) RETURN COUNT(r) > 0 AS edgeExists:result:True -2024-10-30 05:54:20,579 - lightrag - INFO - get_edge:query: - MATCH (source:`GHOST OF CHRISTMAS PAST`)-[r]-(target:`SCROOGE'S MEMORIES`) - RETURN r - :result:, ) type='DIRECTED' properties={'keywords': '"memory, confrontation"', 'description': '"The Ghost facilitates Scrooge\'s recollection of his memories, allowing him to confront his past choices."', 'weight': 9.0, 'source_id': 'chunk-bb21d58d36c6306fd8810ddd51c4a971'}> -2024-10-30 05:54:20,716 - lightrag - INFO - _check_edge_existence:query:MATCH (a:`SCROOGE`)-[r]-(b:`THE SPIRIT`) RETURN COUNT(r) > 0 AS edgeExists:result:True -2024-10-30 05:54:20,849 - lightrag - INFO - get_edge:query: - MATCH (source:`SCROOGE`)-[r]-(target:`THE SPIRIT`) - RETURN r - :result:, ) type='DIRECTED' properties={'keywords': '"guidance, transformation""moral guidance, transformation""self-reflection, transformation""supernatural guidance, self-reflection""supernatural intervention, guidance"', 'description': '"Scrooge engages with the Spirit as it reveals memories that prompt significant self-reflection and consideration of change.""Scrooge is guided by the Spirit, who shows him different scenes related to the joy and struggles of Christmas, aiming to change his heart.""The Spirit challenges Scrooge\'s perspective on life, urging him to consider the implications of his actions in light of death.""The Spirit represents an upcoming change in Scrooge\'s life, aiming to guide him towards redemption.""The Spirit represents moral lessons and urges Scrooge to change his ways for a better future."', 'weight': 47.0, 'source_id': 'chunk-b2f98bc7abb0c67d4c86055c7fd72218chunk-e1f29eeadc1d8ab46dc8a0bbd3c56b64chunk-91572b3cd42786ba4cb2f180ca25cbf4chunk-da2472b4ef2a535b62908f14d0fb0ca9chunk-91614df5cb74cbe5e109a338a82041e9'}> -2024-10-30 05:54:20,986 - lightrag - INFO - _check_edge_existence:query:MATCH (a:`ALI BABA`)-[r]-(b:`SCROOGE`) RETURN COUNT(r) > 0 AS edgeExists:result:True -2024-10-30 05:54:21,121 - lightrag - INFO - get_edge:query: - MATCH (source:`ALI BABA`)-[r]-(target:`SCROOGE`) - RETURN r - :result:, ) type='DIRECTED' properties={'keywords': '"nostalgia, childhood stories"', 'description': '"Scrooge recalls Ali Baba while reflecting on memories of Christmas, indicating a strong personal connection to the story and its impact on him."', 'weight': 8.0, 'source_id': 'chunk-8590d9263cd2cd4fa583c432fc54e6c3'}> -2024-10-30 05:54:21,256 - lightrag - INFO - _check_edge_existence:query:MATCH (a:`SCROOGE`)-[r]-(b:`VALENTINE`) RETURN COUNT(r) > 0 AS edgeExists:result:True -2024-10-30 05:54:21,392 - lightrag - INFO - get_edge:query: - MATCH (source:`SCROOGE`)-[r]-(target:`VALENTINE`) - RETURN r - :result:, ) type='DIRECTED' properties={'keywords': '"family memories, nostalgia"', 'description': '"Scrooge\'s mention of Valentine signifies his memories of familial ties and childhood experiences during Christmas."', 'weight': 6.0, 'source_id': 'chunk-8590d9263cd2cd4fa583c432fc54e6c3'}> -2024-10-30 05:54:21,537 - lightrag - INFO - _check_edge_existence:query:MATCH (a:`ORSON`)-[r]-(b:`VALENTINE`) RETURN COUNT(r) > 0 AS edgeExists:result:True -2024-10-30 05:54:21,668 - lightrag - INFO - get_edge:query: - MATCH (source:`ORSON`)-[r]-(target:`VALENTINE`) - RETURN r - :result:, ) type='DIRECTED' properties={'keywords': '"family, nostalgia"', 'description': '"Orson and Valentine are brothers in the stories remembered by Scrooge, representing familial bonds in his past."', 'weight': 8.0, 'source_id': 'chunk-8590d9263cd2cd4fa583c432fc54e6c3'}> -2024-10-30 05:54:21,808 - lightrag - INFO - _check_edge_existence:query:MATCH (a:`CHILD`)-[r]-(b:`SCROOGE`) RETURN COUNT(r) > 0 AS edgeExists:result:True -2024-10-30 05:54:21,936 - lightrag - INFO - get_edge:query: - MATCH (source:`CHILD`)-[r]-(target:`SCROOGE`) - RETURN r - :result:, ) type='DIRECTED' properties={'keywords': '"self-reflection, past connection"', 'description': '"Scrooge sees his younger self in the solitary child, sparking deep emotional reflections about his past and choices."', 'weight': 8.0, 'source_id': 'chunk-8590d9263cd2cd4fa583c432fc54e6c3'}> -2024-10-30 05:54:22,071 - lightrag - INFO - _check_edge_existence:query:MATCH (a:`ALI BABA`)-[r]-(b:`ROBIN CRUSOE`) RETURN COUNT(r) > 0 AS edgeExists:result:True -2024-10-30 05:54:22,199 - lightrag - INFO - get_edge:query: - MATCH (source:`ALI BABA`)-[r]-(target:`ROBIN CRUSOE`) - RETURN r - :result:, ) type='DIRECTED' properties={'keywords': '"literary connection, childhood memories"', 'description': '"Both Ali Baba and Robin Crusoe represent figures from stories that shaped Scrooge\'s childhood memories and sentiments towards Christmas."', 'weight': 7.0, 'source_id': 'chunk-8590d9263cd2cd4fa583c432fc54e6c3'}> -2024-10-30 05:54:22,338 - lightrag - INFO - _check_edge_existence:query:MATCH (a:`MANSION`)-[r]-(b:`SCROOGE`) RETURN COUNT(r) > 0 AS edgeExists:result:True -2024-10-30 05:54:22,476 - lightrag - INFO - get_edge:query: - MATCH (source:`MANSION`)-[r]-(target:`SCROOGE`) - RETURN r - :result:, ) type='DIRECTED' properties={'keywords': '"symbolism, emotional state"', 'description': '"The Mansion symbolizes the neglect and decay that parallels Scrooge\'s own emotional state and memories of his past."', 'weight': 8.0, 'source_id': 'chunk-8590d9263cd2cd4fa583c432fc54e6c3'}> -2024-10-30 05:54:22,615 - lightrag - INFO - _check_edge_existence:query:MATCH (a:`MANSION`)-[r]-(b:`THE GHOST`) RETURN COUNT(r) > 0 AS edgeExists:result:True -2024-10-30 05:54:22,750 - lightrag - INFO - get_edge:query: - MATCH (source:`MANSION`)-[r]-(target:`THE GHOST`) - RETURN r - :result:, ) type='DIRECTED' properties={'keywords': '"guidance, contrast"', 'description': '"The Ghost guides Scrooge through the Mansion, illustrating the contrast between past warmth and present decay."', 'weight': 9.0, 'source_id': 'chunk-8590d9263cd2cd4fa583c432fc54e6c3'}> -2024-10-30 05:54:22,887 - lightrag - INFO - _check_edge_existence:query:MATCH (a:`FRIDAY`)-[r]-(b:`ROBIN CRUSOE`) RETURN COUNT(r) > 0 AS edgeExists:result:True -2024-10-30 05:54:23,019 - lightrag - INFO - get_edge:query: - MATCH (source:`FRIDAY`)-[r]-(target:`ROBIN CRUSOE`) - RETURN r - :result:, ) type='DIRECTED' properties={'keywords': '"friendship, adventure"', 'description': '"Friday serves alongside Robin Crusoe in the stories remembered by Scrooge, representing loyalty and friendship in adventure."', 'weight': 7.0, 'source_id': 'chunk-8590d9263cd2cd4fa583c432fc54e6c3'}> -2024-10-30 05:54:23,157 - lightrag - INFO - _check_edge_existence:query:MATCH (a:`SCROOGE`)-[r]-(b:`THE PARROT`) RETURN COUNT(r) > 0 AS edgeExists:result:True -2024-10-30 05:54:23,293 - lightrag - INFO - get_edge:query: - MATCH (source:`SCROOGE`)-[r]-(target:`THE PARROT`) - RETURN r - :result:, ) type='DIRECTED' properties={'keywords': '"nostalgia, whimsy"', 'description': '"Scrooge recalls the Parrot associated with his memories of Robin Crusoe, highlighting the whimsical and nostalgic aspects of his reflections."', 'weight': 6.0, 'source_id': 'chunk-8590d9263cd2cd4fa583c432fc54e6c3'}> -2024-10-30 05:54:23,436 - lightrag - INFO - _check_edge_existence:query:MATCH (a:`CHILD`)-[r]-(b:`THE SPIRIT`) RETURN COUNT(r) > 0 AS edgeExists:result:True -2024-10-30 05:54:23,570 - lightrag - INFO - get_edge:query: - MATCH (source:`CHILD`)-[r]-(target:`THE SPIRIT`) - RETURN r - :result:, ) type='DIRECTED' properties={'keywords': '"remembrance, neglect"', 'description': '"The Spirit points Scrooge to the Child, emphasizing themes of neglect, remembrance, and the importance of past experiences."', 'weight': 8.0, 'source_id': 'chunk-8590d9263cd2cd4fa583c432fc54e6c3'}> -2024-10-30 05:54:23,709 - lightrag - INFO - _check_edge_existence:query:MATCH (a:`DICK WILKINS`)-[r]-(b:`FEZZIWIG`) RETURN COUNT(r) > 0 AS edgeExists:result:True -2024-10-30 05:54:23,843 - lightrag - INFO - get_edge:query: - MATCH (source:`DICK WILKINS`)-[r]-(target:`FEZZIWIG`) - RETURN r - :result:, ) type='DIRECTED' properties={'keywords': '"apprenticeship, camaraderie"', 'description': '"Fezziwig and Dick Wilkins are connected through their roles in Scrooge\'s past, representing camaraderie and joyful experiences at work."', 'weight': 7.0, 'source_id': 'chunk-c6c248858d1b13ab7ee9ca13c1aeed6b'}> -2024-10-30 05:54:23,981 - lightrag - INFO - _check_edge_existence:query:MATCH (a:`DICK WILKINS`)-[r]-(b:`SCROOGE`) RETURN COUNT(r) > 0 AS edgeExists:result:True -2024-10-30 05:54:24,115 - lightrag - INFO - get_edge:query: - MATCH (source:`DICK WILKINS`)-[r]-(target:`SCROOGE`) - RETURN r - :result:, ) type='DIRECTED' properties={'keywords': '"friendship, apprenticeship"', 'description': '"Scrooge recalls his friendship with Dick Wilkins, highlighting the connections of youth and support during their apprenticeship."', 'weight': 7.0, 'source_id': 'chunk-c6c248858d1b13ab7ee9ca13c1aeed6b'}> -2024-10-30 05:54:24,249 - lightrag - INFO - _check_edge_existence:query:MATCH (a:`CHRISTMAS-TIME`)-[r]-(b:`SCROOGE`) RETURN COUNT(r) > 0 AS edgeExists:result:True -2024-10-30 05:54:24,382 - lightrag - INFO - get_edge:query: - MATCH (source:`CHRISTMAS-TIME`)-[r]-(target:`SCROOGE`) - RETURN r - :result:, ) type='DIRECTED' properties={'keywords': '"cynicism, holiday spirit conflict"', 'description': '"Scrooge views Christmas-time as a burden rather than a celebration, contrasting with the feelings of others around him."', 'weight': 9.0, 'source_id': 'chunk-5dac41b3f9eeaf794f0147400b1718cd'}> -2024-10-30 05:54:24,525 - lightrag - INFO - _check_edge_existence:query:MATCH (a:`SCROOGE`)-[r]-(b:`THE CITY`) RETURN COUNT(r) > 0 AS edgeExists:result:True -2024-10-30 05:54:24,656 - lightrag - INFO - get_edge:query: - MATCH (source:`SCROOGE`)-[r]-(target:`THE CITY`) - RETURN r - :result:, ) type='DIRECTED' properties={'keywords': '"disconnection, personal evolution""reflection, urban life"', 'description': '"Scrooge\'s reflections in the City highlight his relationship with his past and the contrast of his current life.""Scrooge\'s relationship with The City is marked by detachment, representing his lost connection to his past self and experiences."', 'weight': 10.0, 'source_id': 'chunk-bb21d58d36c6306fd8810ddd51c4a971chunk-c6c248858d1b13ab7ee9ca13c1aeed6b'}> -2024-10-30 05:54:24,791 - lightrag - INFO - _check_edge_existence:query:MATCH (a:`DICK WILKINS`)-[r]-(b:`EBENEZER SCROOGE`) RETURN COUNT(r) > 0 AS edgeExists:result:True -2024-10-30 05:54:24,927 - lightrag - INFO - get_edge:query: - MATCH (source:`DICK WILKINS`)-[r]-(target:`EBENEZER SCROOGE`) - RETURN r - :result:, ) type='DIRECTED' properties={'keywords': '"nostalgia, past friendship"', 'description': '"Scrooge remembers Dick Wilkins fondly, showing a connection from their past as apprentices together."', 'weight': 8.0, 'source_id': 'chunk-8bc1edd983869352d14cf0886a9175a7'}> -2024-10-30 05:54:25,064 - lightrag - INFO - _check_edge_existence:query:MATCH (a:`EBENEZER SCROOGE`)-[r]-(b:`FEZZIWIG`) RETURN COUNT(r) > 0 AS edgeExists:result:True -2024-10-30 05:54:25,199 - lightrag - INFO - get_edge:query: - MATCH (source:`EBENEZER SCROOGE`)-[r]-(target:`FEZZIWIG`) - RETURN r - :result:, ) type='DIRECTED' properties={'keywords': '"mentorship, celebration""reflection, mentorship"', 'description': '"Fezziwig created a memorable and joyful atmosphere for Scrooge and his fellow apprentices during the celebration.""Scrooge reflects on his positive memories of Fezziwig, contributing to the theme of mentorship and joy in the past."', 'weight': 17.0, 'source_id': 'chunk-8bc1edd983869352d14cf0886a9175a7'}> -2024-10-30 05:54:25,337 - lightrag - INFO - _check_edge_existence:query:MATCH (a:`CHRISTMAS EVE`)-[r]-(b:`FEZZIWIG`) RETURN COUNT(r) > 0 AS edgeExists:result:True -2024-10-30 05:54:25,472 - lightrag - INFO - get_edge:query: - MATCH (source:`CHRISTMAS EVE`)-[r]-(target:`FEZZIWIG`) - RETURN r - :result:, ) type='DIRECTED' properties={'keywords': '"event significance, festivity"', 'description': '"Fezziwig\'s celebrations take place on Christmas Eve, highlighting the special significance of this event."', 'weight': 10.0, 'source_id': 'chunk-8bc1edd983869352d14cf0886a9175a7'}> -2024-10-30 05:54:25,612 - lightrag - INFO - _check_edge_existence:query:MATCH (a:`FEZZIWIG`)-[r]-(b:`MRS. FEZZIWIG`) RETURN COUNT(r) > 0 AS edgeExists:result:True -2024-10-30 05:54:25,747 - lightrag - INFO - get_edge:query: - MATCH (source:`FEZZIWIG`)-[r]-(target:`MRS. FEZZIWIG`) - RETURN r - :result:, ) type='DIRECTED' properties={'keywords': '"festivity, companionship""partnership, celebration"', 'description': '"Fezziwig and Mrs. Fezziwig dance together, showcasing their joyful relationship and the spirit of togetherness during Christmas.""Fezziwig and Mrs. Fezziwig work together to create a festive and welcoming environment during the domestic ball.""Mrs. Fezziwig partners with Fezziwig in the festivities, highlighting their companionship during the celebrations."', 'weight': 25.0, 'source_id': 'chunk-b2f98bc7abb0c67d4c86055c7fd72218chunk-89777b838d5447c7bd1ec11282c4ee89chunk-8bc1edd983869352d14cf0886a9175a7'}> -2024-10-30 05:54:25,881 - lightrag - INFO - _check_edge_existence:query:MATCH (a:`FEZZIWIG`)-[r]-(b:`THE DANCERS`) RETURN COUNT(r) > 0 AS edgeExists:result:True -2024-10-30 05:54:26,015 - lightrag - INFO - get_edge:query: - MATCH (source:`FEZZIWIG`)-[r]-(target:`THE DANCERS`) - RETURN r - :result:, ) type='DIRECTED' properties={'keywords': '"celebration, community"', 'description': '"The Dancers participate in the lively celebrations orchestrated by Fezziwig, showcasing the joyous atmosphere of the event."', 'weight': 9.0, 'source_id': 'chunk-8bc1edd983869352d14cf0886a9175a7'}> -2024-10-30 05:54:26,150 - lightrag - INFO - _check_edge_existence:query:MATCH (a:`FEZZIWIG`)-[r]-(b:`THE FIDDLER`) RETURN COUNT(r) > 0 AS edgeExists:result:True -2024-10-30 05:54:26,284 - lightrag - INFO - get_edge:query: - MATCH (source:`FEZZIWIG`)-[r]-(target:`THE FIDDLER`) - RETURN r - :result:, ) type='DIRECTED' properties={'keywords': '"musical contribution, festive atmosphere"', 'description': '"The Fiddler provides music for the dance, playing a crucial role in enhancing the festive atmosphere created by Fezziwig."', 'weight': 9.0, 'source_id': 'chunk-8bc1edd983869352d14cf0886a9175a7'}> -2024-10-30 05:54:26,422 - lightrag - INFO - _check_edge_existence:query:MATCH (a:`THE THREE MISS FEZZIWIGS`)-[r]-(b:`THE YOUNG FOLLOWERS`) RETURN COUNT(r) > 0 AS edgeExists:result:True -2024-10-30 05:54:26,557 - lightrag - INFO - get_edge:query: - MATCH (source:`THE THREE MISS FEZZIWIGS`)-[r]-(target:`THE YOUNG FOLLOWERS`) - RETURN r - :result:, ) type='DIRECTED' properties={'keywords': '"community, interactions"', 'description': '"The Three Miss Fezziwigs interact with the Young Followers during the dance, highlighting the communal joy of the celebration."', 'weight': 8.0, 'source_id': 'chunk-8bc1edd983869352d14cf0886a9175a7'}> -2024-10-30 05:54:26,698 - lightrag - INFO - _check_edge_existence:query:MATCH (a:`THE COOK`)-[r]-(b:`THE HOUSEMAID`) RETURN COUNT(r) > 0 AS edgeExists:result:True -2024-10-30 05:54:26,835 - lightrag - INFO - get_edge:query: - MATCH (source:`THE COOK`)-[r]-(target:`THE HOUSEMAID`) - RETURN r - :result:, ) type='DIRECTED' properties={'keywords': '"inclusion, participation"', 'description': '"The Housemaid and The Cook are both present at Fezziwig\'s celebration, participating in the festivities and showcasing the inclusive environment."', 'weight': 7.0, 'source_id': 'chunk-8bc1edd983869352d14cf0886a9175a7'}> -2024-10-30 05:54:26,972 - lightrag - INFO - _check_edge_existence:query:MATCH (a:`THE BOY FROM OVER THE WAY`)-[r]-(b:`THE GIRL FROM NEXT DOOR`) RETURN COUNT(r) > 0 AS edgeExists:result:True -2024-10-30 05:54:27,105 - lightrag - INFO - get_edge:query: - MATCH (source:`THE BOY FROM OVER THE WAY`)-[r]-(target:`THE GIRL FROM NEXT DOOR`) - RETURN r - :result:, ) type='DIRECTED' properties={'keywords': '"youthful antics, dynamics"', 'description': '"The Boy\'s attempts to hide from The Girl demonstrate the youthful interactions and dynamics during the festive event."', 'weight': 6.0, 'source_id': 'chunk-8bc1edd983869352d14cf0886a9175a7'}> -2024-10-30 05:54:27,240 - lightrag - INFO - _check_edge_existence:query:MATCH (a:`SCROOGE`)-[r]-(b:`THE GHOST OF CHRISTMAS PAST`) RETURN COUNT(r) > 0 AS edgeExists:result:True -2024-10-30 05:54:27,380 - lightrag - INFO - get_edge:query: - MATCH (source:`SCROOGE`)-[r]-(target:`THE GHOST OF CHRISTMAS PAST`) - RETURN r - :result:, ) type='DIRECTED' properties={'keywords': '"introspection, memory"', 'description': '"The Ghost of Christmas Past guides Scrooge through recollections, prompting his introspection about his former self and choices."', 'weight': 10.0, 'source_id': 'chunk-b2f98bc7abb0c67d4c86055c7fd72218'}> -2024-10-30 05:54:27,517 - lightrag - INFO - _check_edge_existence:query:MATCH (a:`FEZZIWIG`)-[r]-(b:`THE DOMESTIC BALL`) RETURN COUNT(r) > 0 AS edgeExists:result:True -2024-10-30 05:54:27,651 - lightrag - INFO - get_edge:query: - MATCH (source:`FEZZIWIG`)-[r]-(target:`THE DOMESTIC BALL`) - RETURN r - :result:, ) type='DIRECTED' properties={'keywords': '"event organization, joy"', 'description': '"Fezziwig organizes the Domestic Ball, showcasing his ability to create joy and camaraderie among guests."', 'weight': 10.0, 'source_id': 'chunk-b2f98bc7abb0c67d4c86055c7fd72218'}> -2024-10-30 05:54:27,796 - lightrag - INFO - _check_edge_existence:query:MATCH (a:`DICK`)-[r]-(b:`SCROOGE`) RETURN COUNT(r) > 0 AS edgeExists:result:True -2024-10-30 05:54:27,931 - lightrag - INFO - get_edge:query: - MATCH (source:`DICK`)-[r]-(target:`SCROOGE`) - RETURN r - :result:, ) type='DIRECTED' properties={'keywords': '"nostalgia, friendship"', 'description': '"Scrooge remembers Dick as a part of his past, highlighting their shared experiences during happier times."', 'weight': 7.0, 'source_id': 'chunk-b2f98bc7abb0c67d4c86055c7fd72218'}> -2024-10-30 05:54:28,068 - lightrag - INFO - _check_edge_existence:query:MATCH (a:`FEZZIWIG`)-[r]-(b:`THE TWO APPRENTICES`) RETURN COUNT(r) > 0 AS edgeExists:result:True -2024-10-30 05:54:28,200 - lightrag - INFO - get_edge:query: - MATCH (source:`FEZZIWIG`)-[r]-(target:`THE TWO APPRENTICES`) - RETURN r - :result:, ) type='DIRECTED' properties={'keywords': '"gratitude, mentorship"', 'description': '"Fezziwig inspires deep gratitude and respect from his apprentices, who appreciate his kindness during their interactions at the ball."', 'weight': 8.0, 'source_id': 'chunk-b2f98bc7abb0c67d4c86055c7fd72218'}> -2024-10-30 05:54:28,337 - lightrag - INFO - _check_edge_existence:query:MATCH (a:`SCROOGE`)-[r]-(b:`THE GOLDEN IDOL`) RETURN COUNT(r) > 0 AS edgeExists:result:True -2024-10-30 05:54:28,465 - lightrag - INFO - get_edge:query: - MATCH (source:`SCROOGE`)-[r]-(target:`THE GOLDEN IDOL`) - RETURN r - :result:, ) type='DIRECTED' properties={'keywords': '"materialism, lost connections"', 'description': '"The Golden Idol represents the materialistic pursuits that have displaced meaningful connections in Scrooge\'s life."', 'weight': 10.0, 'source_id': 'chunk-b2f98bc7abb0c67d4c86055c7fd72218'}> -2024-10-30 05:54:28,600 - lightrag - INFO - _check_edge_existence:query:MATCH (a:`SCROOGE`)-[r]-(b:`THE MOURNING DRESS`) RETURN COUNT(r) > 0 AS edgeExists:result:True -2024-10-30 05:54:28,732 - lightrag - INFO - get_edge:query: - MATCH (source:`SCROOGE`)-[r]-(target:`THE MOURNING DRESS`) - RETURN r - :result:, ) type='DIRECTED' properties={'keywords': '"loss, emotional distance"', 'description': '"The Mourning Dress symbolizes Scrooge\'s unfulfilled relationships and the emotional consequences of his choices."', 'weight': 8.0, 'source_id': 'chunk-b2f98bc7abb0c67d4c86055c7fd72218'}> -2024-10-30 05:54:28,867 - lightrag - INFO - _check_edge_existence:query:MATCH (a:`SCROOGE`)-[r]-(b:`THE PRIME OF LIFE`) RETURN COUNT(r) > 0 AS edgeExists:result:True -2024-10-30 05:54:29,004 - lightrag - INFO - get_edge:query: - MATCH (source:`SCROOGE`)-[r]-(target:`THE PRIME OF LIFE`) - RETURN r - :result:, ) type='DIRECTED' properties={'keywords': '"reflection, life choices"', 'description': '"Scrooge reflects on his Prime of Life, contrasting it with his current state and the sacrifices he has made for wealth."', 'weight': 9.0, 'source_id': 'chunk-b2f98bc7abb0c67d4c86055c7fd72218'}> -2024-10-30 05:54:29,140 - lightrag - INFO - _check_edge_existence:query:MATCH (a:`SCROOGE`)-[r]-(b:`THE BEAUTIFUL YOUNG GIRL`) RETURN COUNT(r) > 0 AS edgeExists:result:True -2024-10-30 05:54:29,272 - lightrag - INFO - get_edge:query: - MATCH (source:`SCROOGE`)-[r]-(target:`THE BEAUTIFUL YOUNG GIRL`) - RETURN r - :result:, ) type='DIRECTED' properties={'keywords': '"nostalgia, lost love"', 'description': '"Scrooge reflects on his past relationship with the young girl, which holds significance in understanding his character\'s regrets."', 'weight': 8.0, 'source_id': 'chunk-54bdd22db1f84a965b5f4c06c9216d8d'}> -2024-10-30 05:54:29,406 - lightrag - INFO - _check_edge_existence:query:MATCH (a:`THE BEAUTIFUL YOUNG GIRL`)-[r]-(b:`THE COMELY MATRON`) RETURN COUNT(r) > 0 AS edgeExists:result:True -2024-10-30 05:54:29,538 - lightrag - INFO - get_edge:query: - MATCH (source:`THE BEAUTIFUL YOUNG GIRL`)-[r]-(target:`THE COMELY MATRON`) - RETURN r - :result:, ) type='DIRECTED' properties={'keywords': '"change, passage of time"', 'description': '"The Beautiful Young Girl evolves into The Comely Matron, representing the effects of time and choices made."', 'weight': 7.0, 'source_id': 'chunk-54bdd22db1f84a965b5f4c06c9216d8d'}> -2024-10-30 05:54:29,677 - lightrag - INFO - _check_edge_existence:query:MATCH (a:`THE CHILDREN`)-[r]-(b:`THE COMELY MATRON`) RETURN COUNT(r) > 0 AS edgeExists:result:True -2024-10-30 05:54:29,812 - lightrag - INFO - get_edge:query: - MATCH (source:`THE CHILDREN`)-[r]-(target:`THE COMELY MATRON`) - RETURN r - :result:, ) type='DIRECTED' properties={'keywords': '"family bonds, joy"', 'description': '"The Comely Matron fosters a lively environment with The Children, highlighting familial love and joy."', 'weight': 8.0, 'source_id': 'chunk-54bdd22db1f84a965b5f4c06c9216d8d'}> -2024-10-30 05:54:29,950 - lightrag - INFO - _check_edge_existence:query:MATCH (a:`THE CHILDREN`)-[r]-(b:`THE FATHER`) RETURN COUNT(r) > 0 AS edgeExists:result:True -2024-10-30 05:54:30,080 - lightrag - INFO - get_edge:query: - MATCH (source:`THE CHILDREN`)-[r]-(target:`THE FATHER`) - RETURN r - :result:, ) type='DIRECTED' properties={'keywords': '"familial joy, celebration"', 'description': '"The Father engages with the children, highlighting familial bonds and the excitement of Christmas celebrations."', 'weight': 8.0, 'source_id': 'chunk-da2472b4ef2a535b62908f14d0fb0ca9'}> -2024-10-30 05:54:30,216 - lightrag - INFO - _check_edge_existence:query:MATCH (a:`SCROOGE`)-[r]-(b:`THE DOWERLESS GIRL`) RETURN COUNT(r) > 0 AS edgeExists:result:True -2024-10-30 05:54:30,355 - lightrag - INFO - get_edge:query: - MATCH (source:`SCROOGE`)-[r]-(target:`THE DOWERLESS GIRL`) - RETURN r - :result:, ) type='DIRECTED' properties={'keywords': '"social constraints, regret"', 'description': '"Scrooge\'s reflections on the dowerless girl highlight the social constraints influencing his choices and feelings of regret."', 'weight': 6.0, 'source_id': 'chunk-54bdd22db1f84a965b5f4c06c9216d8d'}> -2024-10-30 05:54:30,493 - lightrag - INFO - _check_edge_existence:query:MATCH (a:`SCROOGE`)-[r]-(b:`THE MEMORY`) RETURN COUNT(r) > 0 AS edgeExists:result:True -2024-10-30 05:54:30,628 - lightrag - INFO - get_edge:query: - MATCH (source:`SCROOGE`)-[r]-(target:`THE MEMORY`) - RETURN r - :result:, ) type='DIRECTED' properties={'keywords': '"reflection, impact of past"', 'description': '"Scrooge\'s memories play a crucial role in shaping his perspective on love and happiness as he confronts his past."', 'weight': 8.0, 'source_id': 'chunk-54bdd22db1f84a965b5f4c06c9216d8d'}> -2024-10-30 05:54:30,770 - lightrag - INFO - _check_edge_existence:query:MATCH (a:`THE FATHER`)-[r]-(b:`THE WINTER FIRE`) RETURN COUNT(r) > 0 AS edgeExists:result:True -2024-10-30 05:54:30,905 - lightrag - INFO - get_edge:query: - MATCH (source:`THE FATHER`)-[r]-(target:`THE WINTER FIRE`) - RETURN r - :result:, ) type='DIRECTED' properties={'keywords': '"family reunion, warmth"', 'description': '"The Father\'s return to The Winter Fire represents the reunion of family and the warmth of home during the holiday season."', 'weight': 9.0, 'source_id': 'chunk-54bdd22db1f84a965b5f4c06c9216d8d'}> -2024-10-30 05:54:31,040 - lightrag - INFO - _check_edge_existence:query:MATCH (a:`HAPPINESS`)-[r]-(b:`THE BEAUTIFUL YOUNG GIRL`) RETURN COUNT(r) > 0 AS edgeExists:result:True -2024-10-30 05:54:31,174 - lightrag - INFO - get_edge:query: - MATCH (source:`HAPPINESS`)-[r]-(target:`THE BEAUTIFUL YOUNG GIRL`) - RETURN r - :result:, ) type='DIRECTED' properties={'keywords': '"lost happiness, longing"', 'description': '"The Beautiful Young Girl embodies the happiness that Scrooge once sought and now feels he has lost."', 'weight': 7.0, 'source_id': 'chunk-54bdd22db1f84a965b5f4c06c9216d8d'}> -2024-10-30 05:54:31,309 - lightrag - INFO - _check_edge_existence:query:MATCH (a:`HOPE`)-[r]-(b:`THE COMELY MATRON`) RETURN COUNT(r) > 0 AS edgeExists:result:True -2024-10-30 05:54:31,444 - lightrag - INFO - get_edge:query: - MATCH (source:`HOPE`)-[r]-(target:`THE COMELY MATRON`) - RETURN r - :result:, ) type='DIRECTED' properties={'keywords': '"hope, family love"', 'description': '"The Comely Matron represents the hope for a joyful and fulfilling family life, enhancing the themes of love and connection."', 'weight': 8.0, 'source_id': 'chunk-54bdd22db1f84a965b5f4c06c9216d8d'}> -2024-10-30 05:54:31,582 - lightrag - INFO - _check_edge_existence:query:MATCH (a:`THE COMELY MATRON`)-[r]-(b:`THE YOUNG BRIGANDS`) RETURN COUNT(r) > 0 AS edgeExists:result:True -2024-10-30 05:54:31,710 - lightrag - INFO - get_edge:query: - MATCH (source:`THE COMELY MATRON`)-[r]-(target:`THE YOUNG BRIGANDS`) - RETURN r - :result:, ) type='DIRECTED' properties={'keywords': '"chaos, joy of childhood"', 'description': '"The Comely Matron encourages the Young Brigands\' playfulness, highlighting the joy and chaos of family life."', 'weight': 7.0, 'source_id': 'chunk-54bdd22db1f84a965b5f4c06c9216d8d'}> -2024-10-30 05:54:31,861 - lightrag - INFO - _check_edge_existence:query:MATCH (a:`BELLE`)-[r]-(b:`SCROOGE`) RETURN COUNT(r) > 0 AS edgeExists:result:True -2024-10-30 05:54:32,000 - lightrag - INFO - get_edge:query: - MATCH (source:`BELLE`)-[r]-(target:`SCROOGE`) - RETURN r - :result:, ) type='DIRECTED' properties={'keywords': '"lost love, regret"', 'description': '"Scrooge reflects on his lost relationship with Belle, highlighting his feelings of regret and emotional pain."', 'weight': 8.0, 'source_id': 'chunk-da2472b4ef2a535b62908f14d0fb0ca9'}> -2024-10-30 05:54:32,135 - lightrag - INFO - _check_edge_existence:query:MATCH (a:`CHRISTMAS`)-[r]-(b:`THE SPIRIT`) RETURN COUNT(r) > 0 AS edgeExists:result:True -2024-10-30 05:54:32,266 - lightrag - INFO - get_edge:query: - MATCH (source:`CHRISTMAS`)-[r]-(target:`THE SPIRIT`) - RETURN r - :result:, ) type='DIRECTED' properties={'keywords': '"holiday spirit, compassion""seasonal influence, moral reflection"', 'description': '"The Spirit connects various scenes to the theme of Christmas, emphasizing its impact on individuals’ attitudes and behaviors.""The Spirit\'s appearances highlight the themes of Christmas and the importance of compassion and community."', 'weight': 17.0, 'source_id': 'chunk-91614df5cb74cbe5e109a338a82041e9chunk-da2472b4ef2a535b62908f14d0fb0ca9'}> -2024-10-30 05:54:32,406 - lightrag - INFO - _check_edge_existence:query:MATCH (a:`SCROOGE`)-[r]-(b:`THE OFFICE`) RETURN COUNT(r) > 0 AS edgeExists:result:True -2024-10-30 05:54:32,542 - lightrag - INFO - get_edge:query: - MATCH (source:`SCROOGE`)-[r]-(target:`THE OFFICE`) - RETURN r - :result:, ) type='DIRECTED' properties={'keywords': '"isolation, work ethic"', 'description': '"Scrooge\'s office reflects his solitary and business-driven life, showcasing his disconnection from familial and social ties."', 'weight': 6.0, 'source_id': 'chunk-da2472b4ef2a535b62908f14d0fb0ca9'}> -2024-10-30 05:54:32,679 - lightrag - INFO - _check_edge_existence:query:MATCH (a:`THE FATHER`)-[r]-(b:`THE MOTHER`) RETURN COUNT(r) > 0 AS edgeExists:result:True -2024-10-30 05:54:32,811 - lightrag - INFO - get_edge:query: - MATCH (source:`THE FATHER`)-[r]-(target:`THE MOTHER`) - RETURN r - :result:, ) type='DIRECTED' properties={'keywords': '"family dynamics, togetherness"', 'description': '"The Mother and Father are depicted together, emphasizing family dynamics during the festive occasion."', 'weight': 6.0, 'source_id': 'chunk-da2472b4ef2a535b62908f14d0fb0ca9'}> -2024-10-30 05:54:32,951 - lightrag - INFO - _check_edge_existence:query:MATCH (a:`THE BABY`)-[r]-(b:`THE CHILDREN`) RETURN COUNT(r) > 0 AS edgeExists:result:True -2024-10-30 05:54:33,083 - lightrag - INFO - get_edge:query: - MATCH (source:`THE BABY`)-[r]-(target:`THE CHILDREN`) - RETURN r - :result:, ) type='DIRECTED' properties={'keywords': '"playfulness, innocence"', 'description': '"The Children interact with The Baby in a playful manner, illustrating the innocence of youth during Christmas."', 'weight': 6.0, 'source_id': 'chunk-da2472b4ef2a535b62908f14d0fb0ca9'}> -2024-10-30 05:54:33,218 - lightrag - INFO - _check_edge_existence:query:MATCH (a:`THE CHILDREN`)-[r]-(b:`THE PORTER`) RETURN COUNT(r) > 0 AS edgeExists:result:True -2024-10-30 05:54:33,358 - lightrag - INFO - get_edge:query: - MATCH (source:`THE CHILDREN`)-[r]-(target:`THE PORTER`) - RETURN r - :result:, ) type='DIRECTED' properties={'keywords': '"playfulness, joy"', 'description': '"The Children playfully interact with the Porter, creating a scene of joyous chaos and affection."', 'weight': 9.0, 'source_id': 'chunk-da2472b4ef2a535b62908f14d0fb0ca9'}> -2024-10-30 05:54:33,495 - lightrag - INFO - _check_edge_existence:query:MATCH (a:`THE CHILDREN`)-[r]-(b:`THE MOTHER`) RETURN COUNT(r) > 0 AS edgeExists:result:True -2024-10-30 05:54:33,627 - lightrag - INFO - get_edge:query: - MATCH (source:`THE CHILDREN`)-[r]-(target:`THE MOTHER`) - RETURN r - :result:, ) type='DIRECTED' properties={'keywords': '"family care, joy"', 'description': '"The Mother facilitates the family celebrations, ensuring that her children experience joy during Christmas."', 'weight': 7.0, 'source_id': 'chunk-da2472b4ef2a535b62908f14d0fb0ca9'}> -2024-10-30 05:54:33,765 - lightrag - INFO - _check_edge_existence:query:MATCH (a:`HOME`)-[r]-(b:`THE MOTHER`) RETURN COUNT(r) > 0 AS edgeExists:result:True -2024-10-30 05:54:33,900 - lightrag - INFO - get_edge:query: - MATCH (source:`HOME`)-[r]-(target:`THE MOTHER`) - RETURN r - :result:, ) type='DIRECTED' properties={'keywords': '"family unity, celebration"', 'description': '"Home is where The Mother organizes the family Christmas celebration, serving as the heart of their togetherness."', 'weight': 9.0, 'source_id': 'chunk-da2472b4ef2a535b62908f14d0fb0ca9'}> -2024-10-30 05:54:34,033 - lightrag - INFO - _check_edge_existence:query:MATCH (a:`GHOST OF CHRISTMAS PRESENT`)-[r]-(b:`HOLLY`) RETURN COUNT(r) > 0 AS edgeExists:result:True -2024-10-30 05:54:34,166 - lightrag - INFO - get_edge:query: - MATCH (source:`GHOST OF CHRISTMAS PRESENT`)-[r]-(target:`HOLLY`) - RETURN r - :result:, ) type='DIRECTED' properties={'keywords': '"festive spirit, symbolism"', 'description': '"Holly is part of the Ghost\'s attire, reinforcing the themes of joy and celebration during Christmas."', 'weight': 9.0, 'source_id': 'chunk-843b5b2f944c7413d9ca876e2e2f151f'}> -2024-10-30 05:54:34,307 - lightrag - INFO - _check_edge_existence:query:MATCH (a:`GHOST OF CHRISTMAS PRESENT`)-[r]-(b:`MISTLETOE`) RETURN COUNT(r) > 0 AS edgeExists:result:True -2024-10-30 05:54:34,442 - lightrag - INFO - get_edge:query: - MATCH (source:`GHOST OF CHRISTMAS PRESENT`)-[r]-(target:`MISTLETOE`) - RETURN r - :result:, ) type='DIRECTED' properties={'keywords': '"tradition, symbolism"', 'description': '"The Spirit’s presence is enhanced by Mistletoe, a traditional decoration symbolizing love and goodwill."', 'weight': 7.0, 'source_id': 'chunk-843b5b2f944c7413d9ca876e2e2f151f'}> -2024-10-30 05:54:34,585 - lightrag - INFO - _check_edge_existence:query:MATCH (a:`GHOST OF CHRISTMAS PRESENT`)-[r]-(b:`RED BERRIES`) RETURN COUNT(r) > 0 AS edgeExists:result:True -2024-10-30 05:54:34,720 - lightrag - INFO - get_edge:query: - MATCH (source:`GHOST OF CHRISTMAS PRESENT`)-[r]-(target:`RED BERRIES`) - RETURN r - :result:, ) type='DIRECTED' properties={'keywords': '"festivity, abundance"', 'description': '"The Ghost is surrounded by Red Berries, reinforcing the imagery of Christmas abundance and decoration."', 'weight': 7.0, 'source_id': 'chunk-843b5b2f944c7413d9ca876e2e2f151f'}> -2024-10-30 05:54:34,860 - lightrag - INFO - _check_edge_existence:query:MATCH (a:`GHOST OF CHRISTMAS PRESENT`)-[r]-(b:`TURKEYS`) RETURN COUNT(r) > 0 AS edgeExists:result:True -2024-10-30 05:54:34,993 - lightrag - INFO - get_edge:query: - MATCH (source:`GHOST OF CHRISTMAS PRESENT`)-[r]-(target:`TURKEYS`) - RETURN r - :result:, ) type='DIRECTED' properties={'keywords': '"feasting, abundance"', 'description': '"The Ghost highlights the presence of Turkeys at the feast, emphasizing the spirit of generosity during Christmas."', 'weight': 8.0, 'source_id': 'chunk-843b5b2f944c7413d9ca876e2e2f151f'}> -2024-10-30 05:54:35,132 - lightrag - INFO - _check_edge_existence:query:MATCH (a:`GHOST OF CHRISTMAS PRESENT`)-[r]-(b:`POULTRY`) RETURN COUNT(r) > 0 AS edgeExists:result:True -2024-10-30 05:54:35,264 - lightrag - INFO - get_edge:query: - MATCH (source:`GHOST OF CHRISTMAS PRESENT`)-[r]-(target:`POULTRY`) - RETURN r - :result:, ) type='DIRECTED' properties={'keywords': '"feast, tradition"', 'description': '"The Ghost presents Poultry as part of the Christmas spread, highlighting the traditional meals associated with the holiday."', 'weight': 8.0, 'source_id': 'chunk-843b5b2f944c7413d9ca876e2e2f151f'}> -2024-10-30 05:54:35,402 - lightrag - INFO - _check_edge_existence:query:MATCH (a:`GHOST OF CHRISTMAS PRESENT`)-[r]-(b:`MEAT`) RETURN COUNT(r) > 0 AS edgeExists:result:True -2024-10-30 05:54:35,539 - lightrag - INFO - get_edge:query: - MATCH (source:`GHOST OF CHRISTMAS PRESENT`)-[r]-(target:`MEAT`) - RETURN r - :result:, ) type='DIRECTED' properties={'keywords': '"abundance, generosity"', 'description': '"The included Meat within the Ghost\'s feast symbolizes abundance and the spirit of generosity during Christmas."', 'weight': 8.0, 'source_id': 'chunk-843b5b2f944c7413d9ca876e2e2f151f'}> -2024-10-30 05:54:35,677 - lightrag - INFO - _check_edge_existence:query:MATCH (a:`GHOST OF CHRISTMAS PRESENT`)-[r]-(b:`SAUSAGES`) RETURN COUNT(r) > 0 AS edgeExists:result:True -2024-10-30 05:54:35,812 - lightrag - INFO - get_edge:query: - MATCH (source:`GHOST OF CHRISTMAS PRESENT`)-[r]-(target:`SAUSAGES`) - RETURN r - :result:, ) type='DIRECTED' properties={'keywords': '"celebration, abundance"', 'description': '"Sausages contribute to the lavish spread, symbolizing the abundance of the Christmas feast."', 'weight': 7.0, 'source_id': 'chunk-843b5b2f944c7413d9ca876e2e2f151f'}> -2024-10-30 05:54:35,951 - lightrag - INFO - _check_edge_existence:query:MATCH (a:`GHOST OF CHRISTMAS PRESENT`)-[r]-(b:`OYSTERS`) RETURN COUNT(r) > 0 AS edgeExists:result:True -2024-10-30 05:54:36,083 - lightrag - INFO - get_edge:query: - MATCH (source:`GHOST OF CHRISTMAS PRESENT`)-[r]-(target:`OYSTERS`) - RETURN r - :result:, ) type='DIRECTED' properties={'keywords': '"luxury, celebration"', 'description': '"The inclusion of Oysters in the Christmas feast illustrates the luxury and indulgence during festive celebrations."', 'weight': 8.0, 'source_id': 'chunk-843b5b2f944c7413d9ca876e2e2f151f'}> -2024-10-30 05:54:36,218 - lightrag - INFO - _check_edge_existence:query:MATCH (a:`GHOST OF CHRISTMAS PRESENT`)-[r]-(b:`PIES`) RETURN COUNT(r) > 0 AS edgeExists:result:True -2024-10-30 05:54:36,352 - lightrag - INFO - get_edge:query: - MATCH (source:`GHOST OF CHRISTMAS PRESENT`)-[r]-(target:`PIES`) - RETURN r - :result:, ) type='DIRECTED' properties={'keywords': '"tradition, dessert"', 'description': '"Pies presented by the Ghost highlight the traditions of holiday desserts shared among families."', 'weight': 8.0, 'source_id': 'chunk-843b5b2f944c7413d9ca876e2e2f151f'}> -2024-10-30 05:54:36,489 - lightrag - INFO - _check_edge_existence:query:MATCH (a:`GHOST OF CHRISTMAS PRESENT`)-[r]-(b:`PUDDINGS`) RETURN COUNT(r) > 0 AS edgeExists:result:True -2024-10-30 05:54:36,629 - lightrag - INFO - get_edge:query: - MATCH (source:`GHOST OF CHRISTMAS PRESENT`)-[r]-(target:`PUDDINGS`) - RETURN r - :result:, ) type='DIRECTED' properties={'keywords': '"warmth, comfort"', 'description': '"Puddings are part of the Ghost’s feast, embodying warmth and comfort during the Christmas season."', 'weight': 8.0, 'source_id': 'chunk-843b5b2f944c7413d9ca876e2e2f151f'}> -2024-10-30 05:54:36,763 - lightrag - INFO - _check_edge_existence:query:MATCH (a:`FRUIT`)-[r]-(b:`GHOST OF CHRISTMAS PRESENT`) RETURN COUNT(r) > 0 AS edgeExists:result:True -2024-10-30 05:54:36,906 - lightrag - INFO - get_edge:query: - MATCH (source:`FRUIT`)-[r]-(target:`GHOST OF CHRISTMAS PRESENT`) - RETURN r - :result:, ) type='DIRECTED' properties={'keywords': '"sharing, abundance"', 'description': '"Fruit served by the Ghost reinforces the joy of sharing and the abundance of the Christmas season."', 'weight': 8.0, 'source_id': 'chunk-843b5b2f944c7413d9ca876e2e2f151f'}> -2024-10-30 05:54:37,046 - lightrag - INFO - _check_edge_existence:query:MATCH (a:`GHOST OF CHRISTMAS PRESENT`)-[r]-(b:`PUNCH`) RETURN COUNT(r) > 0 AS edgeExists:result:True -2024-10-30 05:54:37,177 - lightrag - INFO - get_edge:query: - MATCH (source:`GHOST OF CHRISTMAS PRESENT`)-[r]-(target:`PUNCH`) - RETURN r - :result:, ) type='DIRECTED' properties={'keywords': '"celebration, festivity"', 'description': '"Punch serves as a festive drink shared during Christmas, enhancing the celebratory atmosphere."', 'weight': 8.0, 'source_id': 'chunk-843b5b2f944c7413d9ca876e2e2f151f'}> -2024-10-30 05:54:37,315 - lightrag - INFO - _check_edge_existence:query:MATCH (a:`ANTIQUE SCABBARD`)-[r]-(b:`GHOST OF CHRISTMAS PRESENT`) RETURN COUNT(r) > 0 AS edgeExists:result:True -2024-10-30 05:54:37,447 - lightrag - INFO - get_edge:query: - MATCH (source:`ANTIQUE SCABBARD`)-[r]-(target:`GHOST OF CHRISTMAS PRESENT`) - RETURN r - :result:, ) type='DIRECTED' properties={'keywords': '"history, guardianship"', 'description': '"The Antique Scabbard worn by the Spirit symbolizes history and the guardianship of Christmas traditions."', 'weight': 7.0, 'source_id': 'chunk-843b5b2f944c7413d9ca876e2e2f151f'}> -2024-10-30 05:54:37,582 - lightrag - INFO - _check_edge_existence:query:MATCH (a:`CHRISTMAS`)-[r]-(b:`GROCERS'`) RETURN COUNT(r) > 0 AS edgeExists:result:True -2024-10-30 05:54:37,713 - lightrag - INFO - get_edge:query: - MATCH (source:`CHRISTMAS`)-[r]-(target:`GROCERS'`) - RETURN r - :result:, ) type='DIRECTED' properties={'keywords': '"retail, festive celebration"', 'description': '"The Grocers\' organization plays a crucial role during Christmas by providing goods that contribute to the festive spirit."', 'weight': 8.0, 'source_id': 'chunk-99b0ec7f7e006561352b5d65e849611d'}> -2024-10-30 05:54:37,849 - lightrag - INFO - _check_edge_existence:query:MATCH (a:`CHRISTMAS`)-[r]-(b:`PEOPLE`) RETURN COUNT(r) > 0 AS edgeExists:result:True -2024-10-30 05:54:37,986 - lightrag - INFO - get_edge:query: - MATCH (source:`CHRISTMAS`)-[r]-(target:`PEOPLE`) - RETURN r - :result:, ) type='DIRECTED' properties={'keywords': '"community celebration, joy"', 'description': '"The People are actively engaged in the celebration of Christmas, demonstrating joy and festivity despite the harsh weather conditions."', 'weight': 9.0, 'source_id': 'chunk-99b0ec7f7e006561352b5d65e849611d'}> -2024-10-30 05:54:38,128 - lightrag - INFO - _check_edge_existence:query:MATCH (a:`CHRISTMAS`)-[r]-(b:`GREAT BRITAIN`) RETURN COUNT(r) > 0 AS edgeExists:result:True -2024-10-30 05:54:38,256 - lightrag - INFO - get_edge:query: - MATCH (source:`CHRISTMAS`)-[r]-(target:`GREAT BRITAIN`) - RETURN r - :result:, ) type='DIRECTED' properties={'keywords': '"celebration, societal mood"', 'description': '"The celebration of Christmas brings a cheerful atmosphere to Great Britain despite the gloomy weather conditions."', 'weight': 7.0, 'source_id': 'chunk-99b0ec7f7e006561352b5d65e849611d'}> -2024-10-30 05:54:38,395 - lightrag - INFO - _check_edge_existence:query:MATCH (a:`SCROOGE`)-[r]-(b:`SPIRIT OF CHRISTMAS PRESENT`) RETURN COUNT(r) > 0 AS edgeExists:result:True -2024-10-30 05:54:38,530 - lightrag - INFO - get_edge:query: - MATCH (source:`SCROOGE`)-[r]-(target:`SPIRIT OF CHRISTMAS PRESENT`) - RETURN r - :result:, ) type='DIRECTED' properties={'keywords': '"transformation, generosity"', 'description': '"Scrooge interacts with the Spirit of Christmas Present, who shows him the joys of Christmas and the importance of generosity."', 'weight': 8.0, 'source_id': 'chunk-b0f459f5af1c3a5e0b92cbe4ee48b77b'}> -2024-10-30 05:54:38,669 - lightrag - INFO - _check_edge_existence:query:MATCH (a:`BOB CRATCHIT`)-[r]-(b:`SPIRIT OF CHRISTMAS PRESENT`) RETURN COUNT(r) > 0 AS edgeExists:result:True -2024-10-30 05:54:38,804 - lightrag - INFO - get_edge:query: - MATCH (source:`BOB CRATCHIT`)-[r]-(target:`SPIRIT OF CHRISTMAS PRESENT`) - RETURN r - :result:, ) type='DIRECTED' properties={'keywords': '"blessing, compassion"', 'description': '"The Spirit blesses Bob Cratchit’s dwelling, symbolizing the recognition of the Cratchit family\'s struggles and joys on Christmas Day."', 'weight': 9.0, 'source_id': 'chunk-b0f459f5af1c3a5e0b92cbe4ee48b77b'}> -2024-10-30 05:54:38,943 - lightrag - INFO - _check_edge_existence:query:MATCH (a:`BOB CRATCHIT`)-[r]-(b:`THE CRATCHIT HOUSEHOLD`) RETURN COUNT(r) > 0 AS edgeExists:result:True -2024-10-30 05:54:39,074 - lightrag - INFO - get_edge:query: - MATCH (source:`BOB CRATCHIT`)-[r]-(target:`THE CRATCHIT HOUSEHOLD`) - RETURN r - :result:, ) type='DIRECTED' properties={'keywords': '"family, support"', 'description': '"Bob Cratchit leads his family, representing resilience and love in the face of hardship, which is celebrated by the Spirit."', 'weight': 8.0, 'source_id': 'chunk-b0f459f5af1c3a5e0b92cbe4ee48b77b'}> -2024-10-30 05:54:39,207 - lightrag - INFO - _check_edge_existence:query:MATCH (a:`MRS. CRATCHIT`)-[r]-(b:`THE CRATCHIT HOUSEHOLD`) RETURN COUNT(r) > 0 AS edgeExists:result:True -2024-10-30 05:54:39,340 - lightrag - INFO - get_edge:query: - MATCH (source:`MRS. CRATCHIT`)-[r]-(target:`THE CRATCHIT HOUSEHOLD`) - RETURN r - :result:, ) type='DIRECTED' properties={'keywords': '"dedication, familial love"', 'description': '"Mrs. Cratchit contributes to the family’s efforts to celebrate Christmas, demonstrating dedication and caring."', 'weight': 7.0, 'source_id': 'chunk-b0f459f5af1c3a5e0b92cbe4ee48b77b'}> -2024-10-30 05:54:39,480 - lightrag - INFO - _check_edge_existence:query:MATCH (a:`BELINDA CRATCHIT`)-[r]-(b:`THE CRATCHIT HOUSEHOLD`) RETURN COUNT(r) > 0 AS edgeExists:result:True -2024-10-30 05:54:39,609 - lightrag - INFO - get_edge:query: - MATCH (source:`BELINDA CRATCHIT`)-[r]-(target:`THE CRATCHIT HOUSEHOLD`) - RETURN r - :result:, ) type='DIRECTED' properties={'keywords': '"cooperation, family bonds"', 'description': '"Belinda plays an active role in the household duties, reinforcing the theme of cooperation and togetherness."', 'weight': 6.0, 'source_id': 'chunk-b0f459f5af1c3a5e0b92cbe4ee48b77b'}> -2024-10-30 05:54:39,749 - lightrag - INFO - _check_edge_existence:query:MATCH (a:`MRS. CRATCHIT`)-[r]-(b:`PETER CRATCHIT`) RETURN COUNT(r) > 0 AS edgeExists:result:True -2024-10-30 05:54:39,887 - lightrag - INFO - get_edge:query: - MATCH (source:`MRS. CRATCHIT`)-[r]-(target:`PETER CRATCHIT`) - RETURN r - :result:, ) type='DIRECTED' properties={'keywords': '"family participation, dynamic"', 'description': '"Peter Cratchit assists his mother, reflecting the family dynamic and contribution of children during festive preparations."', 'weight': 7.0, 'source_id': 'chunk-b0f459f5af1c3a5e0b92cbe4ee48b77b'}> -2024-10-30 05:54:40,031 - lightrag - INFO - _check_edge_existence:query:MATCH (a:`THE GROCER`)-[r]-(b:`THE PEOPLE`) RETURN COUNT(r) > 0 AS edgeExists:result:True -2024-10-30 05:54:40,161 - lightrag - INFO - get_edge:query: - MATCH (source:`THE GROCER`)-[r]-(target:`THE PEOPLE`) - RETURN r - :result:, ) type='DIRECTED' properties={'keywords': '"community spirit, warmth"', 'description': '"The Grocer interacts warmly with The People, fostering a sense of community and celebration during Christmas."', 'weight': 8.0, 'source_id': 'chunk-b0f459f5af1c3a5e0b92cbe4ee48b77b'}> -2024-10-30 05:54:40,298 - lightrag - INFO - _check_edge_existence:query:MATCH (a:`THE CRATCHIT HOUSEHOLD`)-[r]-(b:`THE SPIRIT OF CHRISTMAS PRESENT`) RETURN COUNT(r) > 0 AS edgeExists:result:True -2024-10-30 05:54:40,429 - lightrag - INFO - get_edge:query: - MATCH (source:`THE CRATCHIT HOUSEHOLD`)-[r]-(target:`THE SPIRIT OF CHRISTMAS PRESENT`) - RETURN r - :result:, ) type='DIRECTED' properties={'keywords': '"observation, blessing"', 'description': '"The Spirit observes and blesses The Cratchit Household, showcasing the joy and struggles of families during Christmas."', 'weight': 9.0, 'source_id': 'chunk-b0f459f5af1c3a5e0b92cbe4ee48b77b'}> -2024-10-30 05:54:40,568 - lightrag - INFO - _check_edge_existence:query:MATCH (a:`THE BAKER'S SHOP`)-[r]-(b:`THE PEOPLE`) RETURN COUNT(r) > 0 AS edgeExists:result:True -2024-10-30 05:54:40,703 - lightrag - INFO - get_edge:query: - MATCH (source:`THE BAKER'S SHOP`)-[r]-(target:`THE PEOPLE`) - RETURN r - :result:, ) type='DIRECTED' properties={'keywords': '"community, gathering place"', 'description': '"The Baker\'s Shop serves as a gathering place for The People, symbolizing community and shared meals on Christmas Day."', 'weight': 7.0, 'source_id': 'chunk-b0f459f5af1c3a5e0b92cbe4ee48b77b'}> -2024-10-30 05:54:40,842 - lightrag - INFO - _check_edge_existence:query:MATCH (a:`THE SPIRIT OF CHRISTMAS PRESENT`)-[r]-(b:`THE STREETS`) RETURN COUNT(r) > 0 AS edgeExists:result:True -2024-10-30 05:54:40,977 - lightrag - INFO - get_edge:query: - MATCH (source:`THE SPIRIT OF CHRISTMAS PRESENT`)-[r]-(target:`THE STREETS`) - RETURN r - :result:, ) type='DIRECTED' properties={'keywords': '"guidance, social awareness"', 'description': '"The Spirit guides Scrooge through The Streets, revealing the festive nature and challenges faced by the townsfolk."', 'weight': 8.0, 'source_id': 'chunk-b0f459f5af1c3a5e0b92cbe4ee48b77b'}> -2024-10-30 05:54:41,115 - lightrag - INFO - _check_edge_existence:query:MATCH (a:`THE CRATCHIT HOUSEHOLD`)-[r]-(b:`THE SUBURBS`) RETURN COUNT(r) > 0 AS edgeExists:result:True -2024-10-30 05:54:41,248 - lightrag - INFO - get_edge:query: - MATCH (source:`THE CRATCHIT HOUSEHOLD`)-[r]-(target:`THE SUBURBS`) - RETURN r - :result:, ) type='DIRECTED' properties={'keywords': '"social commentary, inequality"', 'description': '"The Suburbs illustrate the challenges faced by families like The Cratchit Household, emphasizing social inequality."', 'weight': 6.0, 'source_id': 'chunk-b0f459f5af1c3a5e0b92cbe4ee48b77b'}> -2024-10-30 05:54:41,383 - lightrag - INFO - _check_edge_existence:query:MATCH (a:`DINNERS`)-[r]-(b:`THE CRATCHIT HOUSEHOLD`) RETURN COUNT(r) > 0 AS edgeExists:result:True -2024-10-30 05:54:41,517 - lightrag - INFO - get_edge:query: - MATCH (source:`DINNERS`)-[r]-(target:`THE CRATCHIT HOUSEHOLD`) - RETURN r - :result:, ) type='DIRECTED' properties={'keywords': '"togetherness, familial love"', 'description': '"The dinners prepared by The Cratchit Household signify love and togetherness, reflecting on the importance of family meals during the holidays."', 'weight': 8.0, 'source_id': 'chunk-b0f459f5af1c3a5e0b92cbe4ee48b77b'}> -2024-10-30 05:54:41,655 - lightrag - INFO - _check_edge_existence:query:MATCH (a:`BOB CRATCHIT`)-[r]-(b:`MARTHA`) RETURN COUNT(r) > 0 AS edgeExists:result:True -2024-10-30 05:54:41,787 - lightrag - INFO - get_edge:query: - MATCH (source:`BOB CRATCHIT`)-[r]-(target:`MARTHA`) - RETURN r - :result:, ) type='DIRECTED' properties={'keywords': '"family reunion, surprise"', 'description': '"Martha surprises Bob Cratchit by coming home late for Christmas dinner, showing the family\'s love and warmth in reunions."', 'weight': 8.0, 'source_id': 'chunk-7e2e7ebcc19a53b399dc03aded4743e7'}> -2024-10-30 05:54:41,927 - lightrag - INFO - _check_edge_existence:query:MATCH (a:`CRATCHIT CHRISTMAS DINNER`)-[r]-(b:`CRATCHIT FAMILY`) RETURN COUNT(r) > 0 AS edgeExists:result:True -2024-10-30 05:54:42,061 - lightrag - INFO - get_edge:query: - MATCH (source:`CRATCHIT CHRISTMAS DINNER`)-[r]-(target:`CRATCHIT FAMILY`) - RETURN r - :result:, ) type='DIRECTED' properties={'keywords': '"family celebration, togetherness"', 'description': '"The Cratchit Family comes together to celebrate Christmas dinner, encapsulating their unity and joyful spirit during the holiday season."', 'weight': 10.0, 'source_id': 'chunk-7e2e7ebcc19a53b399dc03aded4743e7'}> -2024-10-30 05:54:42,194 - lightrag - INFO - _check_edge_existence:query:MATCH (a:`CRATCHIT FAMILY`)-[r]-(b:`TINY TIM`) RETURN COUNT(r) > 0 AS edgeExists:result:True -2024-10-30 05:54:42,327 - lightrag - INFO - get_edge:query: - MATCH (source:`CRATCHIT FAMILY`)-[r]-(target:`TINY TIM`) - RETURN r - :result:, ) type='DIRECTED' properties={'keywords': '"family bond, celebration""family ties, innocence"', 'description': '"Tiny Tim\'s presence in the Cratchit family adds to their joy and highlights the family\'s spirit of togetherness during Christmas.""Tiny Tim, as part of the Cratchit Family, represents the innocence and vulnerability of the family, affecting their dynamics during Christmas."', 'weight': 15.0, 'source_id': 'chunk-7e2e7ebcc19a53b399dc03aded4743e7chunk-19d72c57ae3408758b18d2568e86dc6b'}> -2024-10-30 05:54:42,464 - lightrag - INFO - _check_edge_existence:query:MATCH (a:`CRATCHIT CHRISTMAS DINNER`)-[r]-(b:`MRS. CRATCHIT`) RETURN COUNT(r) > 0 AS edgeExists:result:True -2024-10-30 05:54:42,600 - lightrag - INFO - get_edge:query: - MATCH (source:`CRATCHIT CHRISTMAS DINNER`)-[r]-(target:`MRS. CRATCHIT`) - RETURN r - :result:, ) type='DIRECTED' properties={'keywords': '"family dedication, celebration"', 'description': '"Mrs. Cratchit plays a vital role in organizing and preparing the Christmas dinner, showcasing her dedication to the family."', 'weight': 9.0, 'source_id': 'chunk-7e2e7ebcc19a53b399dc03aded4743e7'}> -2024-10-30 05:54:42,739 - lightrag - INFO - _check_edge_existence:query:MATCH (a:`CRATCHIT CHRISTMAS DINNER`)-[r]-(b:`THE GOOSE`) RETURN COUNT(r) > 0 AS edgeExists:result:True -2024-10-30 05:54:42,870 - lightrag - INFO - get_edge:query: - MATCH (source:`CRATCHIT CHRISTMAS DINNER`)-[r]-(target:`THE GOOSE`) - RETURN r - :result:, ) type='DIRECTED' properties={'keywords': '"central dish, festive tradition"', 'description': '"The Goose is the centerpiece of the Cratchit Christmas dinner, symbolizing the family\'s festive spirit and shared joy."', 'weight': 10.0, 'source_id': 'chunk-7e2e7ebcc19a53b399dc03aded4743e7'}> -2024-10-30 05:54:43,009 - lightrag - INFO - _check_edge_existence:query:MATCH (a:`THE YOUNG CRATCHITS`)-[r]-(b:`TINY TIM`) RETURN COUNT(r) > 0 AS edgeExists:result:True -2024-10-30 05:54:43,143 - lightrag - INFO - get_edge:query: - MATCH (source:`THE YOUNG CRATCHITS`)-[r]-(target:`TINY TIM`) - RETURN r - :result:, ) type='DIRECTED' properties={'keywords': '"sibling bond, family dynamics"', 'description': '"The Young Cratchits enthusiastically engage with Tiny Tim during the celebrations, highlighting the loving dynamics of the Cratchit family."', 'weight': 8.0, 'source_id': 'chunk-7e2e7ebcc19a53b399dc03aded4743e7'}> -2024-10-30 05:54:43,278 - lightrag - INFO - _check_edge_existence:query:MATCH (a:`THE FIRE`)-[r]-(b:`TINY TIM`) RETURN COUNT(r) > 0 AS edgeExists:result:True -2024-10-30 05:54:43,409 - lightrag - INFO - get_edge:query: - MATCH (source:`THE FIRE`)-[r]-(target:`TINY TIM`) - RETURN r - :result:, ) type='DIRECTED' properties={'keywords': '"warmth, family support"', 'description': '"Tiny Tim is seen being supported by the family at the warmth of the Fire, which adds comfort and cheer to their gathering."', 'weight': 8.0, 'source_id': 'chunk-7e2e7ebcc19a53b399dc03aded4743e7'}> -2024-10-30 05:54:43,544 - lightrag - INFO - _check_edge_existence:query:MATCH (a:`CRATCHIT CHRISTMAS DINNER`)-[r]-(b:`THE PUDDING`) RETURN COUNT(r) > 0 AS edgeExists:result:True -2024-10-30 05:54:43,675 - lightrag - INFO - get_edge:query: - MATCH (source:`CRATCHIT CHRISTMAS DINNER`)-[r]-(target:`THE PUDDING`) - RETURN r - :result:, ) type='DIRECTED' properties={'keywords': '"traditional dish, celebration"', 'description': '"The Pudding is an important dish that signals the culmination of the Cratchit Christmas dinner, emphasizing the joy and festivity of the occasion."', 'weight': 9.0, 'source_id': 'chunk-7e2e7ebcc19a53b399dc03aded4743e7'}> -2024-10-30 05:54:43,814 - lightrag - INFO - _check_edge_existence:query:MATCH (a:`MRS. CRATCHIT`)-[r]-(b:`THE DINNER`) RETURN COUNT(r) > 0 AS edgeExists:result:True -2024-10-30 05:54:43,951 - lightrag - INFO - get_edge:query: - MATCH (source:`MRS. CRATCHIT`)-[r]-(target:`THE DINNER`) - RETURN r - :result:, ) type='DIRECTED' properties={'keywords': '"food preparation, holiday tradition"', 'description': '"Mrs. Cratchit prepares the dinner with pride, particularly the pudding, making it a highlight of the family\'s Christmas celebration."', 'weight': 9.0, 'source_id': 'chunk-503f0bfa5453467c7c61d160a3540eca'}> -2024-10-30 05:54:44,087 - lightrag - INFO - _check_edge_existence:query:MATCH (a:`THE CRATCHIT FAMILY`)-[r]-(b:`THE DINNER`) RETURN COUNT(r) > 0 AS edgeExists:result:True -2024-10-30 05:54:44,218 - lightrag - INFO - get_edge:query: - MATCH (source:`THE CRATCHIT FAMILY`)-[r]-(target:`THE DINNER`) - RETURN r - :result:, ) type='DIRECTED' properties={'keywords': '"family unity, celebration"', 'description': '"The Cratchit Family comes together for The Dinner, showcasing their unity and holiday spirit, despite their modest means."', 'weight': 10.0, 'source_id': 'chunk-503f0bfa5453467c7c61d160a3540eca'}> -2024-10-30 05:54:44,359 - lightrag - INFO - _check_edge_existence:query:MATCH (a:`SCROOGE`)-[r]-(b:`TINY TIM`) RETURN COUNT(r) > 0 AS edgeExists:result:True -2024-10-30 05:54:44,499 - lightrag - INFO - get_edge:query: - MATCH (source:`SCROOGE`)-[r]-(target:`TINY TIM`) - RETURN r - :result:, ) type='DIRECTED' properties={'keywords': '"personal transformation, empathy""transformation, mentorship""transformation, redemption"', 'description': '"Scrooge becomes a father figure to Tiny Tim, showing a deep commitment to his well-being after realizing the importance of family and caring for others.""Scrooge reflects on Tiny Tim and expresses concern for his wellbeing, indicating a pivotal change in his character and attitudes towards the less fortunate.""Scrooge\'s transformation is influenced by his reflections on the impact of Tiny Tim\'s life and death."', 'weight': 26.0, 'source_id': 'chunk-94bea83e7153fc2064aa382b494936a1chunk-503f0bfa5453467c7c61d160a3540ecachunk-91572b3cd42786ba4cb2f180ca25cbf4'}> -2024-10-30 05:54:44,634 - lightrag - INFO - _check_edge_existence:query:MATCH (a:`THE DINNER`)-[r]-(b:`THE GOOSE`) RETURN COUNT(r) > 0 AS edgeExists:result:True -2024-10-30 05:54:44,762 - lightrag - INFO - get_edge:query: - MATCH (source:`THE DINNER`)-[r]-(target:`THE GOOSE`) - RETURN r - :result:, ) type='DIRECTED' properties={'keywords': '"holiday meal, celebration"', 'description': '"The Goose is a significant part of The Dinner, representing the main course that brings joy and satisfaction to the Cratchit family."', 'weight': 8.0, 'source_id': 'chunk-503f0bfa5453467c7c61d160a3540eca'}> -2024-10-30 05:54:44,902 - lightrag - INFO - _check_edge_existence:query:MATCH (a:`THE DINNER`)-[r]-(b:`THE PUDDING`) RETURN COUNT(r) > 0 AS edgeExists:result:True -2024-10-30 05:54:45,036 - lightrag - INFO - get_edge:query: - MATCH (source:`THE DINNER`)-[r]-(target:`THE PUDDING`) - RETURN r - :result:, ) type='DIRECTED' properties={'keywords': '"dessert, holiday tradition"', 'description': '"The Pudding is a highlight of The Dinner, showcasing Mrs. Cratchit\'s skill and adding to the festive atmosphere."', 'weight': 9.0, 'source_id': 'chunk-503f0bfa5453467c7c61d160a3540eca'}> -2024-10-30 05:54:45,179 - lightrag - INFO - _check_edge_existence:query:MATCH (a:`MISS BELINDA`)-[r]-(b:`THE DINNER`) RETURN COUNT(r) > 0 AS edgeExists:result:True -2024-10-30 05:54:45,308 - lightrag - INFO - get_edge:query: - MATCH (source:`MISS BELINDA`)-[r]-(target:`THE DINNER`) - RETURN r - :result:, ) type='DIRECTED' properties={'keywords': '"family contribution, teamwork"', 'description': '"Miss Belinda\'s role in changing the plates represents her contribution to the family effort in celebrating The Dinner."', 'weight': 7.0, 'source_id': 'chunk-503f0bfa5453467c7c61d160a3540eca'}> -2024-10-30 05:54:45,446 - lightrag - INFO - _check_edge_existence:query:MATCH (a:`CHRISTMAS`)-[r]-(b:`THE DINNER`) RETURN COUNT(r) > 0 AS edgeExists:result:True -2024-10-30 05:54:45,582 - lightrag - INFO - get_edge:query: - MATCH (source:`CHRISTMAS`)-[r]-(target:`THE DINNER`) - RETURN r - :result:, ) type='DIRECTED' properties={'keywords': '"festive occasion, celebration"', 'description': '"The Dinner is part of the Christmas celebration, reflecting the traditions and spirit associated with this holiday."', 'weight': 10.0, 'source_id': 'chunk-503f0bfa5453467c7c61d160a3540eca'}> -2024-10-30 05:54:45,721 - lightrag - INFO - _check_edge_existence:query:MATCH (a:`SCROOGE`)-[r]-(b:`THE FOUNDER OF THE FEAST`) RETURN COUNT(r) > 0 AS edgeExists:result:True -2024-10-30 05:54:45,855 - lightrag - INFO - get_edge:query: - MATCH (source:`SCROOGE`)-[r]-(target:`THE FOUNDER OF THE FEAST`) - RETURN r - :result:, ) type='DIRECTED' properties={'keywords': '"gratitude, recognition"', 'description': '"Scrooge\'s contribution as The Founder of the Feast is acknowledged by Bob, highlighting the connection between Scrooge and the Cratchit family\'s Christmas dinner."', 'weight': 8.0, 'source_id': 'chunk-503f0bfa5453467c7c61d160a3540eca'}> -2024-10-30 05:54:45,996 - lightrag - INFO - _check_edge_existence:query:MATCH (a:`MRS. CRATCHIT`)-[r]-(b:`SCROOGE`) RETURN COUNT(r) > 0 AS edgeExists:result:True -2024-10-30 05:54:46,130 - lightrag - INFO - get_edge:query: - MATCH (source:`MRS. CRATCHIT`)-[r]-(target:`SCROOGE`) - RETURN r - :result:, ) type='DIRECTED' properties={'keywords': '"criticism, emotional conflict"', 'description': '"Mrs. Cratchit openly criticizes Scrooge during the Christmas dinner, expressing her feelings towards him and emphasizing the family\'s resentment."', 'weight': 8.0, 'source_id': 'chunk-19d72c57ae3408758b18d2568e86dc6b'}> -2024-10-30 05:54:46,267 - lightrag - INFO - _check_edge_existence:query:MATCH (a:`CRATCHIT FAMILY`)-[r]-(b:`THE SPIRIT`) RETURN COUNT(r) > 0 AS edgeExists:result:True -2024-10-30 05:54:46,399 - lightrag - INFO - get_edge:query: - MATCH (source:`CRATCHIT FAMILY`)-[r]-(target:`THE SPIRIT`) - RETURN r - :result:, ) type='DIRECTED' properties={'keywords': '"holiday spirit, influence"', 'description': '"The Spirit influences the Christmas gathering of the Cratchit family by promoting joy and generosity, impacting their celebration."', 'weight': 9.0, 'source_id': 'chunk-19d72c57ae3408758b18d2568e86dc6b'}> -2024-10-30 05:54:46,535 - lightrag - INFO - _check_edge_existence:query:MATCH (a:`CHRISTMAS DAY`)-[r]-(b:`CRATCHIT FAMILY`) RETURN COUNT(r) > 0 AS edgeExists:result:True -2024-10-30 05:54:46,668 - lightrag - INFO - get_edge:query: - MATCH (source:`CHRISTMAS DAY`)-[r]-(target:`CRATCHIT FAMILY`) - RETURN r - :result:, ) type='DIRECTED' properties={'keywords': '"celebration, tradition""celebration, unity"', 'description': '"The Cratchit Family gathers to celebrate Christmas Day, reflecting their togetherness and joy despite their hardships.""The Cratchit Family\'s celebration on Christmas Day emphasizes their unity and joy in sharing the holiday together."', 'weight': 19.0, 'source_id': 'chunk-7e2e7ebcc19a53b399dc03aded4743e7chunk-19d72c57ae3408758b18d2568e86dc6b'}> -2024-10-30 05:54:46,808 - lightrag - INFO - _check_edge_existence:query:MATCH (a:`MARTHA CRATCHIT`)-[r]-(b:`PETER CRATCHIT`) RETURN COUNT(r) > 0 AS edgeExists:result:True -2024-10-30 05:54:46,942 - lightrag - INFO - get_edge:query: - MATCH (source:`MARTHA CRATCHIT`)-[r]-(target:`PETER CRATCHIT`) - RETURN r - :result:, ) type='DIRECTED' properties={'keywords': '"sibling relationship, family dynamics"', 'description': '"Peter and Martha interact as siblings during the Christmas gathering, reflecting familial bonds and shared experiences."', 'weight': 7.0, 'source_id': 'chunk-19d72c57ae3408758b18d2568e86dc6b'}> -2024-10-30 05:54:47,081 - lightrag - INFO - _check_edge_existence:query:MATCH (a:`MARTHA CRATCHIT`)-[r]-(b:`THE COUNTESS`) RETURN COUNT(r) > 0 AS edgeExists:result:True -2024-10-30 05:54:47,215 - lightrag - INFO - get_edge:query: - MATCH (source:`MARTHA CRATCHIT`)-[r]-(target:`THE COUNTESS`) - RETURN r - :result:, ) type='DIRECTED' properties={'keywords': '"social aspirations, class contrast"', 'description': '"Martha’s mention of having seen the Countess represents her connection to higher social circles and dreams beyond her current situation."', 'weight': 5.0, 'source_id': 'chunk-19d72c57ae3408758b18d2568e86dc6b'}> -2024-10-30 05:54:47,351 - lightrag - INFO - _check_edge_existence:query:MATCH (a:`THE CRATCHIT FAMILY`)-[r]-(b:`TINY TIM`) RETURN COUNT(r) > 0 AS edgeExists:result:True -2024-10-30 05:54:47,485 - lightrag - INFO - get_edge:query: - MATCH (source:`THE CRATCHIT FAMILY`)-[r]-(target:`TINY TIM`) - RETURN r - :result:, ) type='DIRECTED' properties={'keywords': '"family unity, hope"', 'description': '"Tiny Tim is an integral part of the Cratchit family, embodying their hopes and joys during the Christmas festivities."', 'weight': 9.0, 'source_id': 'chunk-19d72c57ae3408758b18d2568e86dc6b'}> -2024-10-30 05:54:47,624 - lightrag - INFO - _check_edge_existence:query:MATCH (a:`BOB CRATCHIT`)-[r]-(b:`THE GATHERING`) RETURN COUNT(r) > 0 AS edgeExists:result:True -2024-10-30 05:54:47,758 - lightrag - INFO - get_edge:query: - MATCH (source:`BOB CRATCHIT`)-[r]-(target:`THE GATHERING`) - RETURN r - :result:, ) type='DIRECTED' properties={'keywords': '"family commitment, celebration"', 'description': '"Bob Cratchit leads his family in the Christmas Gathering, showcasing their love and commitment to celebrating together despite worries."', 'weight': 8.0, 'source_id': 'chunk-19d72c57ae3408758b18d2568e86dc6b'}> -2024-10-30 05:54:47,897 - lightrag - INFO - _check_edge_existence:query:MATCH (a:`THE GATHERING`)-[r]-(b:`THE SPIRIT`) RETURN COUNT(r) > 0 AS edgeExists:result:True -2024-10-30 05:54:48,032 - lightrag - INFO - get_edge:query: - MATCH (source:`THE GATHERING`)-[r]-(target:`THE SPIRIT`) - RETURN r - :result:, ) type='DIRECTED' properties={'keywords': '"holiday influence, spirit embodiment"', 'description': '"The Spirit enhances The Gathering by infusing it with joy and positivity, transforming the atmosphere into one of celebration."', 'weight': 9.0, 'source_id': 'chunk-19d72c57ae3408758b18d2568e86dc6b'}> -2024-10-30 05:54:48,173 - lightrag - INFO - _check_edge_existence:query:MATCH (a:`CHRISTMAS`)-[r]-(b:`THE LIGHTHOUSE`) RETURN COUNT(r) > 0 AS edgeExists:result:True -2024-10-30 05:54:48,306 - lightrag - INFO - get_edge:query: - MATCH (source:`CHRISTMAS`)-[r]-(target:`THE LIGHTHOUSE`) - RETURN r - :result:, ) type='DIRECTED' properties={'keywords': '"hope, celebration"', 'description': '"The Lighthouse is a site where Christmas is celebrated, symbolizing hope and warmth in a bleak environment."', 'weight': 7.0, 'source_id': 'chunk-91614df5cb74cbe5e109a338a82041e9'}> -2024-10-30 05:54:48,443 - lightrag - INFO - _check_edge_existence:query:MATCH (a:`CHRISTMAS`)-[r]-(b:`THE SHIP`) RETURN COUNT(r) > 0 AS edgeExists:result:True -2024-10-30 05:54:48,575 - lightrag - INFO - get_edge:query: - MATCH (source:`CHRISTMAS`)-[r]-(target:`THE SHIP`) - RETURN r - :result:, ) type='DIRECTED' properties={'keywords': '"unity, shared experience"', 'description': '"The Ship\'s crew celebrates Christmas together, creating a sense of unity and shared joy despite their circumstances."', 'weight': 8.0, 'source_id': 'chunk-91614df5cb74cbe5e109a338a82041e9'}> -2024-10-30 05:54:48,710 - lightrag - INFO - _check_edge_existence:query:MATCH (a:`SCROOGE`)-[r]-(b:`THE LAMPLIGHTER`) RETURN COUNT(r) > 0 AS edgeExists:result:True -2024-10-30 05:54:48,842 - lightrag - INFO - get_edge:query: - MATCH (source:`SCROOGE`)-[r]-(target:`THE LAMPLIGHTER`) - RETURN r - :result:, ) type='DIRECTED' properties={'keywords': '"contrast, positivity"', 'description': '"The Lamplighter\'s cheerful demeanor contrasts with Scrooge\'s initial outlook, highlighting the possibility of joy in life."', 'weight': 6.0, 'source_id': 'chunk-91614df5cb74cbe5e109a338a82041e9'}> -2024-10-30 05:54:48,981 - lightrag - INFO - _check_edge_existence:query:MATCH (a:`THE HUT`)-[r]-(b:`THE OLD MAN`) RETURN COUNT(r) > 0 AS edgeExists:result:True -2024-10-30 05:54:49,114 - lightrag - INFO - get_edge:query: - MATCH (source:`THE HUT`)-[r]-(target:`THE OLD MAN`) - RETURN r - :result:, ) type='DIRECTED' properties={'keywords': '"tradition, family gathering"', 'description': '"The Old Man leads the gathering in song within the Hut, showcasing the warmth of family during Christmas."', 'weight': 8.0, 'source_id': 'chunk-91614df5cb74cbe5e109a338a82041e9'}> -2024-10-30 05:54:49,252 - lightrag - INFO - _check_edge_existence:query:MATCH (a:`THE HUT`)-[r]-(b:`THE MINERS`) RETURN COUNT(r) > 0 AS edgeExists:result:True -2024-10-30 05:54:49,384 - lightrag - INFO - get_edge:query: - MATCH (source:`THE HUT`)-[r]-(target:`THE MINERS`) - RETURN r - :result:, ) type='DIRECTED' properties={'keywords': '"community, resilience"', 'description': '"The Miners find solace and community in the Hut during Christmas, emphasizing the importance of gathering during difficult times."', 'weight': 7.0, 'source_id': 'chunk-91614df5cb74cbe5e109a338a82041e9'}> -2024-10-30 05:54:49,524 - lightrag - INFO - _check_edge_existence:query:MATCH (a:`THE OFFICERS`)-[r]-(b:`THE SHIP`) RETURN COUNT(r) > 0 AS edgeExists:result:True -2024-10-30 05:54:49,655 - lightrag - INFO - get_edge:query: - MATCH (source:`THE OFFICERS`)-[r]-(target:`THE SHIP`) - RETURN r - :result:, ) type='DIRECTED' properties={'keywords': '"camaraderie, festive spirit"', 'description': '"The Officers aboard the Ship share in the collective spirit of Christmas, contributing to the festive atmosphere during their duty."', 'weight': 8.0, 'source_id': 'chunk-91614df5cb74cbe5e109a338a82041e9'}> -2024-10-30 05:54:49,790 - lightrag - INFO - _check_edge_existence:query:MATCH (a:`THE LIGHTHOUSE`)-[r]-(b:`THE WAVE`) RETURN COUNT(r) > 0 AS edgeExists:result:True -2024-10-30 05:54:49,921 - lightrag - INFO - get_edge:query: - MATCH (source:`THE LIGHTHOUSE`)-[r]-(target:`THE WAVE`) - RETURN r - :result:, ) type='DIRECTED' properties={'keywords': '"struggle, isolation"', 'description': '"The Wave\'s constant battering of the Lighthouse highlights the isolation and challenges faced by those in such remote environments."', 'weight': 7.0, 'source_id': 'chunk-91614df5cb74cbe5e109a338a82041e9'}> -2024-10-30 05:54:50,056 - lightrag - INFO - _check_edge_existence:query:MATCH (a:`STORM-BIRDS`)-[r]-(b:`THE LIGHTHOUSE`) RETURN COUNT(r) > 0 AS edgeExists:result:True -2024-10-30 05:54:50,188 - lightrag - INFO - get_edge:query: - MATCH (source:`STORM-BIRDS`)-[r]-(target:`THE LIGHTHOUSE`) - RETURN r - :result:, ) type='DIRECTED' properties={'keywords': '"wildness, nature"', 'description': '"Storm-Birds surrounding the Lighthouse reflect the wildness and unpredictability of the sea, enhancing the sense of danger and solitude."', 'weight': 6.0, 'source_id': 'chunk-91614df5cb74cbe5e109a338a82041e9'}> -2024-10-30 05:54:50,326 - lightrag - INFO - _check_edge_existence:query:MATCH (a:`SCROOGE`)-[r]-(b:`SCROOGE'S NIECE`) RETURN COUNT(r) > 0 AS edgeExists:result:True -2024-10-30 05:54:50,459 - lightrag - INFO - get_edge:query: - MATCH (source:`SCROOGE`)-[r]-(target:`SCROOGE'S NIECE`) - RETURN r - :result:, ) type='DIRECTED' properties={'keywords': '"family bonds, celebration""ideological conflict, family dynamics"', 'description': '"Scrooge\'s Niece expresses indignation towards Scrooge\'s belief that Christmas is a humbug, demonstrating her strong opinions against his views.""Scrooge\'s niece embraces the joyful atmosphere of the celebration, engaging with family and inviting good-natured fun."', 'weight': 15.0, 'source_id': 'chunk-773d0df1dd25c356f7b771d780583e09chunk-43c9bee23adfa77aa9dedd22401bba7d'}> -2024-10-30 05:54:50,600 - lightrag - INFO - _check_edge_existence:query:MATCH (a:`SCROOGE'S NEPHEW`)-[r]-(b:`SCROOGE'S NIECE`) RETURN COUNT(r) > 0 AS edgeExists:result:True -2024-10-30 05:54:50,735 - lightrag - INFO - get_edge:query: - MATCH (source:`SCROOGE'S NEPHEW`)-[r]-(target:`SCROOGE'S NIECE`) - RETURN r - :result:, ) type='DIRECTED' properties={'keywords': '"family interaction, playful rivalry""shared humor, family bonding"', 'description': '"Scrooge\'s Nephew and Scrooge\'s Niece share a humorous dynamic, both laughing and contrasting with Scrooge\'s grim outlook.""Scrooge\'s nephew and niece engage in playful banter and competition during the games, enhancing their familial bond."', 'weight': 15.0, 'source_id': 'chunk-773d0df1dd25c356f7b771d780583e09chunk-43c9bee23adfa77aa9dedd22401bba7d'}> -2024-10-30 05:54:50,875 - lightrag - INFO - _check_edge_existence:query:MATCH (a:`SCROOGE'S NIECE`)-[r]-(b:`TOPPER`) RETURN COUNT(r) > 0 AS edgeExists:result:True -2024-10-30 05:54:51,012 - lightrag - INFO - get_edge:query: - MATCH (source:`SCROOGE'S NIECE`)-[r]-(target:`TOPPER`) - RETURN r - :result:, ) type='DIRECTED' properties={'keywords': '"romantic interest, social dynamics"', 'description': '"Topper shows interest in Scrooge\'s Niece, indicating a budding romantic interest during the family gathering."', 'weight': 6.0, 'source_id': 'chunk-773d0df1dd25c356f7b771d780583e09'}> -2024-10-30 05:54:51,150 - lightrag - INFO - _check_edge_existence:query:MATCH (a:`SCROOGE'S NIECE`)-[r]-(b:`SCROOGE'S NIECE'S SISTERS`) RETURN COUNT(r) > 0 AS edgeExists:result:True -2024-10-30 05:54:51,286 - lightrag - INFO - get_edge:query: - MATCH (source:`SCROOGE'S NIECE`)-[r]-(target:`SCROOGE'S NIECE'S SISTERS`) - RETURN r - :result:, ) type='DIRECTED' properties={'keywords': '"sisterly bond, shared sentiment"', 'description': '"Scrooge\'s Niece\'s Sisters share the same lively spirit and engage in laughter, supporting her sentiments towards their uncle Scrooge."', 'weight': 8.0, 'source_id': 'chunk-773d0df1dd25c356f7b771d780583e09'}> -2024-10-30 05:54:51,420 - lightrag - INFO - _check_edge_existence:query:MATCH (a:`DINNER`)-[r]-(b:`SCROOGE'S NEPHEW`) RETURN COUNT(r) > 0 AS edgeExists:result:True -2024-10-30 05:54:51,552 - lightrag - INFO - get_edge:query: - MATCH (source:`DINNER`)-[r]-(target:`SCROOGE'S NEPHEW`) - RETURN r - :result:, ) type='DIRECTED' properties={'keywords': '"family, celebration"', 'description': '"Scrooge\'s Nephew emphasizes the pleasure of sharing Dinner with loved ones, highlighting the importance of family connections during holiday gatherings."', 'weight': 9.0, 'source_id': 'chunk-773d0df1dd25c356f7b771d780583e09'}> -2024-10-30 05:54:51,689 - lightrag - INFO - _check_edge_existence:query:MATCH (a:`SCROOGE'S NEPHEW`)-[r]-(b:`TOPPER`) RETURN COUNT(r) > 0 AS edgeExists:result:True -2024-10-30 05:54:51,822 - lightrag - INFO - get_edge:query: - MATCH (source:`SCROOGE'S NEPHEW`)-[r]-(target:`TOPPER`) - RETURN r - :result:, ) type='DIRECTED' properties={'keywords': '"social interaction, camaraderie"', 'description': '"Topper interacts with Scrooge\'s Nephew during the festivities, engaging in dialogue that enhances the light-hearted atmosphere of the gathering."', 'weight': 6.0, 'source_id': 'chunk-773d0df1dd25c356f7b771d780583e09'}> -2024-10-30 05:54:51,962 - lightrag - INFO - _check_edge_existence:query:MATCH (a:`SCROOGE`)-[r]-(b:`TOPPER`) RETURN COUNT(r) > 0 AS edgeExists:result:True -2024-10-30 05:54:52,097 - lightrag - INFO - get_edge:query: - MATCH (source:`SCROOGE`)-[r]-(target:`TOPPER`) - RETURN r - :result:, ) type='DIRECTED' properties={'keywords': '"observation, merriment"', 'description': '"Scrooge observes Topper\'s antics and expressions of joy during the games, revealing a reflection on human nature and merriment."', 'weight': 6.0, 'source_id': 'chunk-43c9bee23adfa77aa9dedd22401bba7d'}> -2024-10-30 05:54:52,233 - lightrag - INFO - _check_edge_existence:query:MATCH (a:`CHRISTMAS HOLIDAYS`)-[r]-(b:`SCROOGE`) RETURN COUNT(r) > 0 AS edgeExists:result:True -2024-10-30 05:54:52,367 - lightrag - INFO - get_edge:query: - MATCH (source:`CHRISTMAS HOLIDAYS`)-[r]-(target:`SCROOGE`) - RETURN r - :result:, ) type='DIRECTED' properties={'keywords': '"transformation, significance of time"', 'description': '"Christmas Holidays are integral to Scrooge\'s journey, representing the time of year that prompts his change and reinstates joy."', 'weight': 8.0, 'source_id': 'chunk-e7637ff18c5ded77a68cce0a87883fad'}> -2024-10-30 05:54:52,503 - lightrag - INFO - _check_edge_existence:query:MATCH (a:`IGNORANCE`)-[r]-(b:`SPIRIT`) RETURN COUNT(r) > 0 AS edgeExists:result:True -2024-10-30 05:54:52,636 - lightrag - INFO - get_edge:query: - MATCH (source:`IGNORANCE`)-[r]-(target:`SPIRIT`) - RETURN r - :result:, ) type='DIRECTED' properties={'keywords': '"social issues, awareness""social warning, awareness"', 'description': '"The Spirit introduces Ignorance to Scrooge as a representation of societal failures, urging him to acknowledge and address these issues.""The Spirit points out Ignorance, highlighting the need for awareness and responsibility toward societal issues."', 'weight': 15.0, 'source_id': 'chunk-e7637ff18c5ded77a68cce0a87883fadchunk-02baee20cc9463dbe08170a8e1043e32'}> -2024-10-30 05:54:52,775 - lightrag - INFO - _check_edge_existence:query:MATCH (a:`SPIRIT`)-[r]-(b:`WANT`) RETURN COUNT(r) > 0 AS edgeExists:result:True -2024-10-30 05:54:52,904 - lightrag - INFO - get_edge:query: - MATCH (source:`SPIRIT`)-[r]-(target:`WANT`) - RETURN r - :result:, ) type='DIRECTED' properties={'keywords': '"social issues, need for compassion""social warning, deprivation"', 'description': '"The Spirit points out Want, symbolizing the dire consequences of neglecting societal needs.""The Spirit presents Want along with Ignorance, symbolizing the plight of the less fortunate and appealing for compassion."', 'weight': 15.0, 'source_id': 'chunk-e7637ff18c5ded77a68cce0a87883fadchunk-02baee20cc9463dbe08170a8e1043e32'}> -2024-10-30 05:54:53,041 - lightrag - INFO - _check_edge_existence:query:MATCH (a:`CITY`)-[r]-(b:`SPIRIT`) RETURN COUNT(r) > 0 AS edgeExists:result:True -2024-10-30 05:54:53,171 - lightrag - INFO - get_edge:query: - MATCH (source:`CITY`)-[r]-(target:`SPIRIT`) - RETURN r - :result:, ) type='DIRECTED' properties={'keywords': '"atmospheric change, reality"', 'description': '"The Spirit’s presence affects the atmosphere of the City, showcasing the stark realities of life and death surrounding Scrooge."', 'weight': 6.0, 'source_id': 'chunk-02baee20cc9463dbe08170a8e1043e32'}> -2024-10-30 05:54:53,311 - lightrag - INFO - _check_edge_existence:query:MATCH (a:`JACOB`)-[r]-(b:`SCROOGE`) RETURN COUNT(r) > 0 AS edgeExists:result:True -2024-10-30 05:54:53,444 - lightrag - INFO - get_edge:query: - MATCH (source:`JACOB`)-[r]-(target:`SCROOGE`) - RETURN r - :result:, ) type='DIRECTED' properties={'keywords': '"reflection, past relationship"', 'description': '"Scrooge reflects on his past relationship with Jacob, influenced by feelings of guilt and loss after Jacob\'s death."', 'weight': 8.0, 'source_id': 'chunk-f1a4fbcf1ed86864b9bfd5e8dba4c683'}> -2024-10-30 05:54:53,579 - lightrag - INFO - _check_edge_existence:query:MATCH (a:`THE LOW-BROWED SHOP`)-[r]-(b:`THE TOWN`) RETURN COUNT(r) > 0 AS edgeExists:result:True -2024-10-30 05:54:53,709 - lightrag - INFO - get_edge:query: - MATCH (source:`THE LOW-BROWED SHOP`)-[r]-(target:`THE TOWN`) - RETURN r - :result:, ) type='DIRECTED' properties={'keywords': '"socioeconomic issues, decay"', 'description': '"The Low-Browed Shop exists within The Town, reflecting its degradation and the poor conditions of its inhabitants."', 'weight': 7.0, 'source_id': 'chunk-f1a4fbcf1ed86864b9bfd5e8dba4c683'}> -2024-10-30 05:54:53,850 - lightrag - INFO - _check_edge_existence:query:MATCH (a:`RED-FACED GENTLEMAN`)-[r]-(b:`SCROOGE`) RETURN COUNT(r) > 0 AS edgeExists:result:True -2024-10-30 05:54:53,983 - lightrag - INFO - get_edge:query: - MATCH (source:`RED-FACED GENTLEMAN`)-[r]-(target:`SCROOGE`) - RETURN r - :result:, ) type='DIRECTED' properties={'keywords': '"humor, communal context"', 'description': '"Scrooge observes the conversation of the Red-faced Gentleman, which offers humorous insights into communal attitudes toward death."', 'weight': 6.0, 'source_id': 'chunk-f1a4fbcf1ed86864b9bfd5e8dba4c683'}> -2024-10-30 05:54:54,121 - lightrag - INFO - _check_edge_existence:query:MATCH (a:`GENTLEMAN WITH THE EXCRESCENCE`)-[r]-(b:`RED-FACED GENTLEMAN`) RETURN COUNT(r) > 0 AS edgeExists:result:True -2024-10-30 05:54:54,261 - lightrag - INFO - get_edge:query: - MATCH (source:`GENTLEMAN WITH THE EXCRESCENCE`)-[r]-(target:`RED-FACED GENTLEMAN`) - RETURN r - :result:, ) type='DIRECTED' properties={'keywords': '"social interaction, humor"', 'description': '"Both gentlemen engage in light-hearted banter about the funeral, reflecting casual societal norms in their discussion."', 'weight': 7.0, 'source_id': 'chunk-f1a4fbcf1ed86864b9bfd5e8dba4c683'}> -2024-10-30 05:54:54,416 - lightrag - INFO - _check_edge_existence:query:MATCH (a:`SCROOGE`)-[r]-(b:`THE PHANTOM`) RETURN COUNT(r) > 0 AS edgeExists:result:True -2024-10-30 05:54:54,552 - lightrag - INFO - get_edge:query: - MATCH (source:`SCROOGE`)-[r]-(target:`THE PHANTOM`) - RETURN r - :result:, ) type='DIRECTED' properties={'keywords': '"guidance, self-reflection"', 'description': '"Scrooge interacts with the Phantom, which guides him through reflections on his life and future, emphasizing his journey of change."', 'weight': 9.0, 'source_id': 'chunk-f1a4fbcf1ed86864b9bfd5e8dba4c683'}> -2024-10-30 05:54:54,689 - lightrag - INFO - _check_edge_existence:query:MATCH (a:`THE PEOPLE`)-[r]-(b:`THE QUARTER`) RETURN COUNT(r) > 0 AS edgeExists:result:True -2024-10-30 05:54:54,820 - lightrag - INFO - get_edge:query: - MATCH (source:`THE PEOPLE`)-[r]-(target:`THE QUARTER`) - RETURN r - :result:, ) type='DIRECTED' properties={'keywords': '"socioeconomic struggle, societal neglect"', 'description': '"The People inhabit The Quarter, which is characterized by poverty, crime, and a sense of neglect."', 'weight': 9.0, 'source_id': 'chunk-f1a4fbcf1ed86864b9bfd5e8dba4c683'}> -2024-10-30 05:54:54,961 - lightrag - INFO - _check_edge_existence:query:MATCH (a:`THE LOW-BROWED SHOP`)-[r]-(b:`THE PEOPLE`) RETURN COUNT(r) > 0 AS edgeExists:result:True -2024-10-30 05:54:55,097 - lightrag - INFO - get_edge:query: - MATCH (source:`THE LOW-BROWED SHOP`)-[r]-(target:`THE PEOPLE`) - RETURN r - :result:, ) type='DIRECTED' properties={'keywords': '"desperation, commerce"', 'description': '"The Low-Browed Shop serves the needs of The People, representing the harsh realities of their lives in the quarter."', 'weight': 8.0, 'source_id': 'chunk-f1a4fbcf1ed86864b9bfd5e8dba4c683'}> -2024-10-30 05:54:55,235 - lightrag - INFO - _check_edge_existence:query:MATCH (a:`OLD SCRATCH`)-[r]-(b:`THE FUNERAL`) RETURN COUNT(r) > 0 AS edgeExists:result:True -2024-10-30 05:54:55,373 - lightrag - INFO - get_edge:query: - MATCH (source:`OLD SCRATCH`)-[r]-(target:`THE FUNERAL`) - RETURN r - :result:, ) type='DIRECTED' properties={'keywords': '"morbid humor, societal views"', 'description': '"The concept of Old Scratch is invoked in the context of discussions about The Funeral, highlighting societal attitudes towards death."', 'weight': 7.0, 'source_id': 'chunk-f1a4fbcf1ed86864b9bfd5e8dba4c683'}> -2024-10-30 05:54:55,519 - lightrag - INFO - _check_edge_existence:query:MATCH (a:`MRS. DILBER`)-[r]-(b:`OLD JOE`) RETURN COUNT(r) > 0 AS edgeExists:result:True -2024-10-30 05:54:55,650 - lightrag - INFO - get_edge:query: - MATCH (source:`MRS. DILBER`)-[r]-(target:`OLD JOE`) - RETURN r - :result:, ) type='DIRECTED' properties={'keywords': '"business interaction, appraisal"', 'description': '"Old Joe assesses the belongings of Mrs. Dilber, reinforcing his role as an appraiser of stolen goods and demonstrating a tendency to be generous towards women."', 'weight': 6.0, 'source_id': 'chunk-60fc063c79fc0d4acc91a57e79de04dc'}> -2024-10-30 05:54:55,784 - lightrag - INFO - _check_edge_existence:query:MATCH (a:`MRS. DILBER`)-[r]-(b:`THE WOMAN`) RETURN COUNT(r) > 0 AS edgeExists:result:True -2024-10-30 05:54:55,914 - lightrag - INFO - get_edge:query: - MATCH (source:`MRS. DILBER`)-[r]-(target:`THE WOMAN`) - RETURN r - :result:, ) type='DIRECTED' properties={'keywords': '"moral discussion, camaraderie"', 'description': '"Mrs. Dilber and The Woman share a conversational dynamic that touches on the moral implications of their actions, creating a camaraderie as they discuss the deceased."', 'weight': 5.0, 'source_id': 'chunk-60fc063c79fc0d4acc91a57e79de04dc'}> -2024-10-30 05:54:56,051 - lightrag - INFO - _check_edge_existence:query:MATCH (a:`OLD JOE`)-[r]-(b:`THE WOMAN`) RETURN COUNT(r) > 0 AS edgeExists:result:True -2024-10-30 05:54:56,183 - lightrag - INFO - get_edge:query: - MATCH (source:`OLD JOE`)-[r]-(target:`THE WOMAN`) - RETURN r - :result:, ) type='DIRECTED' properties={'keywords': '"business interaction, appraisal"', 'description': '"Old Joe interacts with The Woman as she encourages him to evaluate her stolen bundle, indicating a business-like relationship based on appraisal and exchange."', 'weight': 7.0, 'source_id': 'chunk-60fc063c79fc0d4acc91a57e79de04dc'}> -2024-10-30 05:54:56,321 - lightrag - INFO - _check_edge_existence:query:MATCH (a:`THE MAN IN FADED BLACK`)-[r]-(b:`THE WOMAN`) RETURN COUNT(r) > 0 AS edgeExists:result:True -2024-10-30 05:54:56,457 - lightrag - INFO - get_edge:query: - MATCH (source:`THE MAN IN FADED BLACK`)-[r]-(target:`THE WOMAN`) - RETURN r - :result:, ) type='DIRECTED' properties={'keywords': '"shared activity, community"', 'description': '"The Man in Faded Black shares his modest plunder with The Woman, building a sense of community among the characters involved."', 'weight': 5.0, 'source_id': 'chunk-60fc063c79fc0d4acc91a57e79de04dc'}> -2024-10-30 05:54:56,594 - lightrag - INFO - _check_edge_existence:query:MATCH (a:`OLD JOE`)-[r]-(b:`THE GATHERING`) RETURN COUNT(r) > 0 AS edgeExists:result:True -2024-10-30 05:54:56,725 - lightrag - INFO - get_edge:query: - MATCH (source:`OLD JOE`)-[r]-(target:`THE GATHERING`) - RETURN r - :result:, ) type='DIRECTED' properties={'keywords': '"facilitation, social dynamics"', 'description': '"Old Joe facilitates The Gathering by appraising the items brought by each character, serving as a focal point for their interactions."', 'weight': 9.0, 'source_id': 'chunk-60fc063c79fc0d4acc91a57e79de04dc'}> -2024-10-30 05:54:56,862 - lightrag - INFO - _check_edge_existence:query:MATCH (a:`SCROOGE`)-[r]-(b:`THE DECEASED MAN`) RETURN COUNT(r) > 0 AS edgeExists:result:True -2024-10-30 05:54:56,997 - lightrag - INFO - get_edge:query: - MATCH (source:`SCROOGE`)-[r]-(target:`THE DECEASED MAN`) - RETURN r - :result:, ) type='DIRECTED' properties={'keywords': '"moral reflection, consequence"', 'description': '"Scrooge reflects on the life and death of The Deceased Man, prompting introspection about his own life choices."', 'weight': 9.0, 'source_id': 'chunk-e1f29eeadc1d8ab46dc8a0bbd3c56b64'}> -2024-10-30 05:54:57,137 - lightrag - INFO - _check_edge_existence:query:MATCH (a:`JOE`)-[r]-(b:`SCROOGE`) RETURN COUNT(r) > 0 AS edgeExists:result:True -2024-10-30 05:54:57,273 - lightrag - INFO - get_edge:query: - MATCH (source:`JOE`)-[r]-(target:`SCROOGE`) - RETURN r - :result:, ) type='DIRECTED' properties={'keywords': '"perspective contrast, moral dilemma"', 'description': '"Joe\'s cynical attitude towards death and belongings contrasts with Scrooge\'s moral horror, creating a tension between their perspectives."', 'weight': 6.0, 'source_id': 'chunk-e1f29eeadc1d8ab46dc8a0bbd3c56b64'}> -2024-10-30 05:54:57,414 - lightrag - INFO - _check_edge_existence:query:MATCH (a:`DEATH`)-[r]-(b:`THE BED`) RETURN COUNT(r) > 0 AS edgeExists:result:True -2024-10-30 05:54:57,549 - lightrag - INFO - get_edge:query: - MATCH (source:`DEATH`)-[r]-(target:`THE BED`) - RETURN r - :result:, ) type='DIRECTED' properties={'keywords': '"finality, mortality"', 'description': '"Death is inherently linked to The Bed as the resting place of the deceased, symbolizing the finality of life and the legacy left behind."', 'weight': 8.0, 'source_id': 'chunk-e1f29eeadc1d8ab46dc8a0bbd3c56b64'}> -2024-10-30 05:54:57,683 - lightrag - INFO - _check_edge_existence:query:MATCH (a:`THE BUNDLE`)-[r]-(b:`THE DECEASED MAN`) RETURN COUNT(r) > 0 AS edgeExists:result:True -2024-10-30 05:54:57,816 - lightrag - INFO - get_edge:query: - MATCH (source:`THE BUNDLE`)-[r]-(target:`THE DECEASED MAN`) - RETURN r - :result:, ) type='DIRECTED' properties={'keywords': '"material legacy, value"', 'description': '"The Bundle contains the belongings that once belonged to The Deceased Man, illustrating the material value placed on his life after death."', 'weight': 7.0, 'source_id': 'chunk-e1f29eeadc1d8ab46dc8a0bbd3c56b64'}> -2024-10-30 05:54:57,956 - lightrag - INFO - _check_edge_existence:query:MATCH (a:`THE BLANKETS`)-[r]-(b:`THE CORPSE`) RETURN COUNT(r) > 0 AS edgeExists:result:True -2024-10-30 05:54:58,088 - lightrag - INFO - get_edge:query: - MATCH (source:`THE BLANKETS`)-[r]-(target:`THE CORPSE`) - RETURN r - :result:, ) type='DIRECTED' properties={'keywords': '"care, human connection"', 'description': '"The Blankets are directly associated with The Corpse, indicating the human connections and care traditionally shown to the dead."', 'weight': 8.0, 'source_id': 'chunk-e1f29eeadc1d8ab46dc8a0bbd3c56b64'}> -2024-10-30 05:54:58,226 - lightrag - INFO - _check_edge_existence:query:MATCH (a:`THE BLANKET`)-[r]-(b:`THE OIL`) RETURN COUNT(r) > 0 AS edgeExists:result:True -2024-10-30 05:54:58,357 - lightrag - INFO - get_edge:query: - MATCH (source:`THE BLANKET`)-[r]-(target:`THE OIL`) - RETURN r - :result:, ) type='DIRECTED' properties={'keywords': '"materialism, carelessness"', 'description': '"The Oil’s presence suggests a practical yet insensitive attitude towards the care of The Blanket and the deceased."', 'weight': 6.0, 'source_id': 'chunk-e1f29eeadc1d8ab46dc8a0bbd3c56b64'}> -2024-10-30 05:54:58,493 - lightrag - INFO - _check_edge_existence:query:MATCH (a:`SCROOGE`)-[r]-(b:`THE CORPSE`) RETURN COUNT(r) > 0 AS edgeExists:result:True -2024-10-30 05:54:58,627 - lightrag - INFO - get_edge:query: - MATCH (source:`SCROOGE`)-[r]-(target:`THE CORPSE`) - RETURN r - :result:, ) type='DIRECTED' properties={'keywords': '"introspection, life choices"', 'description': '"Scrooge’s horror upon seeing The Corpse prompts deep reflection on his own life choices and morality."', 'weight': 9.0, 'source_id': 'chunk-e1f29eeadc1d8ab46dc8a0bbd3c56b64'}> -2024-10-30 05:54:58,764 - lightrag - INFO - _check_edge_existence:query:MATCH (a:`BOB CRATCHIT`)-[r]-(b:`CAROLINE`) RETURN COUNT(r) > 0 AS edgeExists:result:True -2024-10-30 05:54:58,897 - lightrag - INFO - get_edge:query: - MATCH (source:`BOB CRATCHIT`)-[r]-(target:`CAROLINE`) - RETURN r - :result:, ) type='DIRECTED' properties={'keywords': '"hope, financial strain"', 'description': '"Caroline expresses hope combined with anxiety regarding their financial situation, affecting her relationship with Bob Cratchit."', 'weight': 7.0, 'source_id': 'chunk-83ac129dc9b56f84c46760d153d68e93'}> -2024-10-30 05:54:59,031 - lightrag - INFO - _check_edge_existence:query:MATCH (a:`SPIRIT`)-[r]-(b:`THE EVENT OF DEATH`) RETURN COUNT(r) > 0 AS edgeExists:result:True -2024-10-30 05:54:59,166 - lightrag - INFO - get_edge:query: - MATCH (source:`SPIRIT`)-[r]-(target:`THE EVENT OF DEATH`) - RETURN r - :result:, ) type='DIRECTED' properties={'keywords': '"emotional impact, mortality"', 'description': '"The Spirit highlights the emotional repercussions of The Event of Death, demonstrating the profound effects on those left behind."', 'weight': 8.0, 'source_id': 'chunk-83ac129dc9b56f84c46760d153d68e93'}> -2024-10-30 05:54:59,306 - lightrag - INFO - _check_edge_existence:query:MATCH (a:`SCROOGE`)-[r]-(b:`THE CRATCHIT HOUSE`) RETURN COUNT(r) > 0 AS edgeExists:result:True -2024-10-30 05:54:59,439 - lightrag - INFO - get_edge:query: - MATCH (source:`SCROOGE`)-[r]-(target:`THE CRATCHIT HOUSE`) - RETURN r - :result:, ) type='DIRECTED' properties={'keywords': '"compassion, familial connection"', 'description': '"Scrooge\'s reflections in The Cratchit House illustrate his evolving understanding of compassion and connection to others."', 'weight': 9.0, 'source_id': 'chunk-83ac129dc9b56f84c46760d153d68e93'}> -2024-10-30 05:54:59,574 - lightrag - INFO - _check_edge_existence:query:MATCH (a:`THE HUSBAND`)-[r]-(b:`THE MOTHER`) RETURN COUNT(r) > 0 AS edgeExists:result:True -2024-10-30 05:54:59,709 - lightrag - INFO - get_edge:query: - MATCH (source:`THE HUSBAND`)-[r]-(target:`THE MOTHER`) - RETURN r - :result:, ) type='DIRECTED' properties={'keywords': '"marital dynamics, emotional strain"', 'description': '"The Mother expresses anxiety and eagerness as she interacts with her husband, showcasing the emotional strain caused by uncertainty."', 'weight': 8.0, 'source_id': 'chunk-83ac129dc9b56f84c46760d153d68e93'}> -2024-10-30 05:54:59,845 - lightrag - INFO - _check_edge_existence:query:MATCH (a:`CAROLINE`)-[r]-(b:`THE HUSBAND`) RETURN COUNT(r) > 0 AS edgeExists:result:True -2024-10-30 05:54:59,980 - lightrag - INFO - get_edge:query: - MATCH (source:`CAROLINE`)-[r]-(target:`THE HUSBAND`) - RETURN r - :result:, ) type='DIRECTED' properties={'keywords': '"communication, emotional burden"', 'description': '"The Husband and Caroline\'s conversation illustrates the tension between optimism and the reality of their situation after receiving distressing news."', 'weight': 7.0, 'source_id': 'chunk-83ac129dc9b56f84c46760d153d68e93'}> -2024-10-30 05:55:00,117 - lightrag - INFO - _check_edge_existence:query:MATCH (a:`PETER`)-[r]-(b:`THE CHILDREN`) RETURN COUNT(r) > 0 AS edgeExists:result:True -2024-10-30 05:55:00,251 - lightrag - INFO - get_edge:query: - MATCH (source:`PETER`)-[r]-(target:`THE CHILDREN`) - RETURN r - :result:, ) type='DIRECTED' properties={'keywords': '"leadership, sibling dynamics"', 'description': '"Peter acts as a stabilizing force among The Children, leading them in moments of uncertainty and representing familial responsibility."', 'weight': 6.0, 'source_id': 'chunk-83ac129dc9b56f84c46760d153d68e93'}> -2024-10-30 05:55:00,386 - lightrag - INFO - _check_edge_existence:query:MATCH (a:`THE CRATCHIT HOUSE`)-[r]-(b:`THE DEBT`) RETURN COUNT(r) > 0 AS edgeExists:result:True -2024-10-30 05:55:00,526 - lightrag - INFO - get_edge:query: - MATCH (source:`THE CRATCHIT HOUSE`)-[r]-(target:`THE DEBT`) - RETURN r - :result:, ) type='DIRECTED' properties={'keywords': '"financial burden, atmosphere"', 'description': '"The Debt looms over The Cratchit House, contributing to the emotional atmosphere and fears of its inhabitants during the story."', 'weight': 9.0, 'source_id': 'chunk-83ac129dc9b56f84c46760d153d68e93'}> -2024-10-30 05:55:00,660 - lightrag - INFO - _check_edge_existence:query:MATCH (a:`CAROLINE`)-[r]-(b:`HOPE`) RETURN COUNT(r) > 0 AS edgeExists:result:True -2024-10-30 05:55:00,791 - lightrag - INFO - get_edge:query: - MATCH (source:`CAROLINE`)-[r]-(target:`HOPE`) - RETURN r - :result:, ) type='DIRECTED' properties={'keywords': '"emotional resilience, motivation"', 'description': '"Hope influences Caroline\'s reactions and actions throughout the story, serving as both a motivator and a source of inner conflict."', 'weight': 8.0, 'source_id': 'chunk-83ac129dc9b56f84c46760d153d68e93'}> -2024-10-30 05:55:00,930 - lightrag - INFO - _check_edge_existence:query:MATCH (a:`BOB CRATCHIT`)-[r]-(b:`MR. SCROOGE'S NEPHEW`) RETURN COUNT(r) > 0 AS edgeExists:result:True -2024-10-30 05:55:01,064 - lightrag - INFO - get_edge:query: - MATCH (source:`BOB CRATCHIT`)-[r]-(target:`MR. SCROOGE'S NEPHEW`) - RETURN r - :result:, ) type='DIRECTED' properties={'keywords': '"kindness, support"', 'description': '"Bob Cratchit shares a positive interaction with Mr. Scrooge\'s Nephew, who expresses kindness and concern for his family."', 'weight': 7.0, 'source_id': 'chunk-1d4b58de5429cd1261370c231c8673e8'}> -2024-10-30 05:55:01,201 - lightrag - INFO - _check_edge_existence:query:MATCH (a:`BOB CRATCHIT`)-[r]-(b:`PETER`) RETURN COUNT(r) > 0 AS edgeExists:result:True -2024-10-30 05:55:01,334 - lightrag - INFO - get_edge:query: - MATCH (source:`BOB CRATCHIT`)-[r]-(target:`PETER`) - RETURN r - :result:, ) type='DIRECTED' properties={'keywords': '"family discussions, support"', 'description': '"Peter interacts with Bob Cratchit, showing the dynamics of a supportive family unit while discussing aspirations."', 'weight': 6.0, 'source_id': 'chunk-1d4b58de5429cd1261370c231c8673e8'}> -2024-10-30 05:55:01,471 - lightrag - INFO - _check_edge_existence:query:MATCH (a:`CHRISTMAS`)-[r]-(b:`TINY TIM`) RETURN COUNT(r) > 0 AS edgeExists:result:True -2024-10-30 05:55:01,604 - lightrag - INFO - get_edge:query: - MATCH (source:`CHRISTMAS`)-[r]-(target:`TINY TIM`) - RETURN r - :result:, ) type='DIRECTED' properties={'keywords': '"innocence, holiday spirit"', 'description': '"Tiny Tim represents the spirit of Christmas, being cherished by family during this festive occasion."', 'weight': 9.0, 'source_id': 'chunk-1d4b58de5429cd1261370c231c8673e8'}> -2024-10-30 05:55:01,739 - lightrag - INFO - _check_edge_existence:query:MATCH (a:`SCROOGE`)-[r]-(b:`THE GHOST OF CHRISTMAS YET TO COME`) RETURN COUNT(r) > 0 AS edgeExists:result:True -2024-10-30 05:55:01,872 - lightrag - INFO - get_edge:query: - MATCH (source:`SCROOGE`)-[r]-(target:`THE GHOST OF CHRISTMAS YET TO COME`) - RETURN r - :result:, ) type='DIRECTED' properties={'keywords': '"consequences, change""guidance, self-confrontation"', 'description': '"The Ghost guides Scrooge to confront his potential future that threatens his existence.""The Ghost is critical in revealing the consequences of Scrooge\'s life choices, pushing for change."', 'weight': 19.0, 'source_id': 'chunk-91572b3cd42786ba4cb2f180ca25cbf4'}> -2024-10-30 05:55:02,012 - lightrag - INFO - _check_edge_existence:query:MATCH (a:`GRAVE`)-[r]-(b:`SCROOGE`) RETURN COUNT(r) > 0 AS edgeExists:result:True -2024-10-30 05:55:02,145 - lightrag - INFO - get_edge:query: - MATCH (source:`GRAVE`)-[r]-(target:`SCROOGE`) - RETURN r - :result:, ) type='DIRECTED' properties={'keywords': '"mortality, reflection"', 'description': '"Scrooge is confronted with his own grave, symbolizing the ultimate outcome of his current lifestyle and actions."', 'weight': 10.0, 'source_id': 'chunk-91572b3cd42786ba4cb2f180ca25cbf4'}> -2024-10-30 05:55:02,279 - lightrag - INFO - _check_edge_existence:query:MATCH (a:`CHRISTMAS DAY`)-[r]-(b:`SCROOGE`) RETURN COUNT(r) > 0 AS edgeExists:result:True -2024-10-30 05:55:02,414 - lightrag - INFO - get_edge:query: - MATCH (source:`CHRISTMAS DAY`)-[r]-(target:`SCROOGE`) - RETURN r - :result:, ) type='DIRECTED' properties={'keywords': '"seasonal significance, renewal"', 'description': '"Scrooge\'s change in attitude and actions occur on Christmas Day, making it a pivotal event in his story."', 'weight': 9.0, 'source_id': 'chunk-90b95db5c53e4364a6bee36b7aa4d70f'}> -2024-10-30 05:55:02,554 - lightrag - INFO - _check_edge_existence:query:MATCH (a:`BOB CRATCHIT`)-[r]-(b:`THE POULTERER'S`) RETURN COUNT(r) > 0 AS edgeExists:result:True -2024-10-30 05:55:02,686 - lightrag - INFO - get_edge:query: - MATCH (source:`BOB CRATCHIT`)-[r]-(target:`THE POULTERER'S`) - RETURN r - :result:, ) type='DIRECTED' properties={'keywords': '"commerce, generosity"', 'description': '"The Poulterer\'s shop is where Scrooge instructs the boy to buy a turkey for the Cratchit family, linking commerce to kindness."', 'weight': 6.0, 'source_id': 'chunk-90b95db5c53e4364a6bee36b7aa4d70f'}> -2024-10-30 05:55:02,826 - lightrag - INFO - _check_edge_existence:query:MATCH (a:`SCROOGE`)-[r]-(b:`THE GHOST OF CHRISTMAS PRESENT`) RETURN COUNT(r) > 0 AS edgeExists:result:True -2024-10-30 05:55:02,957 - lightrag - INFO - get_edge:query: - MATCH (source:`SCROOGE`)-[r]-(target:`THE GHOST OF CHRISTMAS PRESENT`) - RETURN r - :result:, ) type='DIRECTED' properties={'keywords': '"awareness, joy""supernatural guidance, social impact""transformation, guidance"', 'description': '"The Ghost of Christmas Present exposes Scrooge to the joy and generosity he has been missing.""The Ghost of Christmas Present observes Scrooge\'s transformation and emotional engagement with his memories of Christmas.""The Ghost of Christmas Present shows Scrooge the joy and importance of kindness during Christmas, impacting his perspective on social issues."', 'weight': 26.0, 'source_id': 'chunk-90b95db5c53e4364a6bee36b7aa4d70fchunk-43c9bee23adfa77aa9dedd22401bba7dchunk-b0f459f5af1c3a5e0b92cbe4ee48b77b'}> -2024-10-30 05:55:03,094 - lightrag - INFO - _check_edge_existence:query:MATCH (a:`SCROOGE`)-[r]-(b:`THE BOY`) RETURN COUNT(r) > 0 AS edgeExists:result:True -2024-10-30 05:55:03,229 - lightrag - INFO - get_edge:query: - MATCH (source:`SCROOGE`)-[r]-(target:`THE BOY`) - RETURN r - :result:, ) type='DIRECTED' properties={'keywords': '"generosity, kindness"', 'description': '"Scrooge interacts with The Boy to deliver the turkey, showing a newfound generosity and connection to others."', 'weight': 8.0, 'source_id': 'chunk-8f738cb25d60a7dab782162d9d0a25ed'}> -2024-10-30 05:55:03,368 - lightrag - INFO - _check_edge_existence:query:MATCH (a:`BOB CRATCHIT`)-[r]-(b:`THE CHRISTMAS DINNER`) RETURN COUNT(r) > 0 AS edgeExists:result:True -2024-10-30 05:55:03,502 - lightrag - INFO - get_edge:query: - MATCH (source:`BOB CRATCHIT`)-[r]-(target:`THE CHRISTMAS DINNER`) - RETURN r - :result:, ) type='DIRECTED' properties={'keywords': '"family, celebration"', 'description': '"The Christmas Dinner represents the Cratchit family\'s celebration, with Bob Cratchit at the center of this warm gathering."', 'weight': 8.0, 'source_id': 'chunk-90b95db5c53e4364a6bee36b7aa4d70f'}> -2024-10-30 05:55:03,635 - lightrag - INFO - _check_edge_existence:query:MATCH (a:`SCROOGE`)-[r]-(b:`THE OLD GENTLEMAN`) RETURN COUNT(r) > 0 AS edgeExists:result:True -2024-10-30 05:55:03,767 - lightrag - INFO - get_edge:query: - MATCH (source:`SCROOGE`)-[r]-(target:`THE OLD GENTLEMAN`) - RETURN r - :result:, ) type='DIRECTED' properties={'keywords': '"kindness, transformation"', 'description': '"Scrooge shows kindness and generosity to The Old Gentleman, marking a significant change in his character and relationships."', 'weight': 9.0, 'source_id': 'chunk-8f738cb25d60a7dab782162d9d0a25ed'}> -2024-10-30 05:55:03,904 - lightrag - INFO - _check_edge_existence:query:MATCH (a:`BOB CRATCHIT`)-[r]-(b:`THE FAMILY`) RETURN COUNT(r) > 0 AS edgeExists:result:True -2024-10-30 05:55:04,037 - lightrag - INFO - get_edge:query: - MATCH (source:`BOB CRATCHIT`)-[r]-(target:`THE FAMILY`) - RETURN r - :result:, ) type='DIRECTED' properties={'keywords': '"family, responsibility"', 'description': '"Bob Cratchit is a central figure in The Family, demonstrating love and responsibility towards his children during Christmas."', 'weight': 8.0, 'source_id': 'chunk-94bea83e7153fc2064aa382b494936a1'}> -2024-10-30 05:55:04,173 - lightrag - INFO - _check_edge_existence:query:MATCH (a:`BOB CRATCHIT`)-[r]-(b:`THE TANK`) RETURN COUNT(r) > 0 AS edgeExists:result:True -2024-10-30 05:55:04,307 - lightrag - INFO - get_edge:query: - MATCH (source:`BOB CRATCHIT`)-[r]-(target:`THE TANK`) - RETURN r - :result:, ) type='DIRECTED' properties={'keywords': '"workplace, struggle"', 'description': '"Bob\'s working conditions in The Tank under Scrooge reflect the challenges he faces as a struggling employee supporting his family."', 'weight': 7.0, 'source_id': 'chunk-94bea83e7153fc2064aa382b494936a1'}> -2024-10-30 05:55:04,444 - lightrag - INFO - _check_edge_existence:query:MATCH (a:`SCROOGE`)-[r]-(b:`SMOKING BISHOP`) RETURN COUNT(r) > 0 AS edgeExists:result:True -2024-10-30 05:55:04,578 - lightrag - INFO - get_edge:query: - MATCH (source:`SCROOGE`)-[r]-(target:`SMOKING BISHOP`) - RETURN r - :result:, ) type='DIRECTED' properties={'keywords': '"celebration, warmth"', 'description': '"Scrooge and Bob\'s plans to enjoy Smoking Bishop together symbolize the welcoming of joy and warmth during the Christmas season."', 'weight': 9.0, 'source_id': 'chunk-94bea83e7153fc2064aa382b494936a1'}> -2024-10-30 05:55:04,715 - lightrag - INFO - _check_edge_existence:query:MATCH (a:`PROJECT GUTENBERG`)-[r]-(b:`THE FOUNDATION`) RETURN COUNT(r) > 0 AS edgeExists:result:True -2024-10-30 05:55:04,847 - lightrag - INFO - get_edge:query: - MATCH (source:`PROJECT GUTENBERG`)-[r]-(target:`THE FOUNDATION`) - RETURN r - :result:, ) type='DIRECTED' properties={'keywords': '"organizational governance, copyright management"', 'description': '"Project Gutenberg is operated and managed by The Foundation, which governs its copyright and licensing aspects."', 'weight': 9.0, 'source_id': 'chunk-194cd9680f4967f48bea89678f7ece21'}> -2024-10-30 05:55:04,982 - lightrag - INFO - _check_edge_existence:query:MATCH (a:`GENERAL TERMS OF USE`)-[r]-(b:`PROJECT GUTENBERG`) RETURN COUNT(r) > 0 AS edgeExists:result:True -2024-10-30 05:55:05,116 - lightrag - INFO - get_edge:query: - MATCH (source:`GENERAL TERMS OF USE`)-[r]-(target:`PROJECT GUTENBERG`) - RETURN r - :result:, ) type='DIRECTED' properties={'keywords': '"regulatory framework, operational guidelines"', 'description': '"Project Gutenberg operates under specific General Terms of Use that govern the distribution and utilization of its electronic works."', 'weight': 7.0, 'source_id': 'chunk-194cd9680f4967f48bea89678f7ece21'}> -2024-10-30 05:55:05,255 - lightrag - INFO - _check_edge_existence:query:MATCH (a:`PROJECT GUTENBERG`)-[r]-(b:`TRANSCRIBER'S NOTE`) RETURN COUNT(r) > 0 AS edgeExists:result:True -2024-10-30 05:55:05,392 - lightrag - INFO - get_edge:query: - MATCH (source:`PROJECT GUTENBERG`)-[r]-(target:`TRANSCRIBER'S NOTE`) - RETURN r - :result:, ) type='DIRECTED' properties={'keywords': '"contextual enhancement, editorial contribution"', 'description': '"The transcriber\'s note provides additional context about the eBook created and distributed by Project Gutenberg."', 'weight': 6.0, 'source_id': 'chunk-194cd9680f4967f48bea89678f7ece21'}> -2024-10-30 05:55:05,527 - lightrag - INFO - _check_edge_existence:query:MATCH (a:`THE FOUNDATION`)-[r]-(b:`UNITED STATES COPYRIGHT`) RETURN COUNT(r) > 0 AS edgeExists:result:True -2024-10-30 05:55:05,659 - lightrag - INFO - get_edge:query: - MATCH (source:`THE FOUNDATION`)-[r]-(target:`UNITED STATES COPYRIGHT`) - RETURN r - :result:, ) type='DIRECTED' properties={'keywords': '"legal compliance, governance"', 'description': '"The Foundation operates within the framework of United States copyright laws, which govern its activities and permissions."', 'weight': 8.0, 'source_id': 'chunk-194cd9680f4967f48bea89678f7ece21'}> -2024-10-30 05:55:05,794 - lightrag - INFO - _check_edge_existence:query:MATCH (a:`ELECTRONIC WORKS`)-[r]-(b:`PROJECT GUTENBERG`) RETURN COUNT(r) > 0 AS edgeExists:result:True -2024-10-30 05:55:05,926 - lightrag - INFO - get_edge:query: - MATCH (source:`ELECTRONIC WORKS`)-[r]-(target:`PROJECT GUTENBERG`) - RETURN r - :result:, ) type='DIRECTED' properties={'keywords': '"digital access, literary promotion"', 'description': '"Project Gutenberg is dedicated to the distribution of electronic works, which are core to its mission."', 'weight': 10.0, 'source_id': 'chunk-194cd9680f4967f48bea89678f7ece21'}> -2024-10-30 05:55:06,064 - lightrag - INFO - _check_edge_existence:query:MATCH (a:`COPYRIGHT ROYALTIES`)-[r]-(b:`PROJECT GUTENBERG`) RETURN COUNT(r) > 0 AS edgeExists:result:True -2024-10-30 05:55:06,198 - lightrag - INFO - get_edge:query: - MATCH (source:`COPYRIGHT ROYALTIES`)-[r]-(target:`PROJECT GUTENBERG`) - RETURN r - :result:, ) type='DIRECTED' properties={'keywords': '"copyright policy, free access"', 'description': '"Project Gutenberg states that works not protected by U.S. copyright can be distributed without paying copyright royalties."', 'weight': 9.0, 'source_id': 'chunk-194cd9680f4967f48bea89678f7ece21'}> -2024-10-30 05:55:06,336 - lightrag - INFO - _check_edge_existence:query:MATCH (a:`GENERAL TERMS OF USE`)-[r]-(b:`TRADEMARK LICENSE`) RETURN COUNT(r) > 0 AS edgeExists:result:True -2024-10-30 05:55:06,475 - lightrag - INFO - get_edge:query: - MATCH (source:`GENERAL TERMS OF USE`)-[r]-(target:`TRADEMARK LICENSE`) - RETURN r - :result:, ) type='DIRECTED' properties={'keywords': '"operational policy, trademark protection"', 'description': '"The General Terms of Use outlines the conditions that must be adhered to regarding the use of the Project Gutenberg trademark."', 'weight': 7.0, 'source_id': 'chunk-194cd9680f4967f48bea89678f7ece21'}> -2024-10-30 05:55:06,618 - lightrag - INFO - _check_edge_existence:query:MATCH (a:`PROJECT GUTENBERG LITERARY ARCHIVE FOUNDATION`)-[r]-(b:`PROJECT GUTENBERG`) RETURN COUNT(r) > 0 AS edgeExists:result:True -2024-10-30 05:55:06,751 - lightrag - INFO - get_edge:query: - MATCH (source:`PROJECT GUTENBERG LITERARY ARCHIVE FOUNDATION`)-[r]-(target:`PROJECT GUTENBERG`) - RETURN r - :result:, ) type='DIRECTED' properties={'keywords': '"management, oversight"', 'description': '"The Project Gutenberg Literary Archive Foundation is responsible for managing the trademark of Project Gutenberg and ensuring compliance with its licensing terms."', 'weight': 8.0, 'source_id': 'chunk-af4ae173c561e4594c5aea96198cce9d'}> -2024-10-30 05:55:06,896 - lightrag - INFO - _check_edge_existence:query:MATCH (a:`PROJECT GUTENBERG`)-[r]-(b:`U.S. COPYRIGHT LAW`) RETURN COUNT(r) > 0 AS edgeExists:result:True -2024-10-30 05:55:07,033 - lightrag - INFO - get_edge:query: - MATCH (source:`PROJECT GUTENBERG`)-[r]-(target:`U.S. COPYRIGHT LAW`) - RETURN r - :result:, ) type='DIRECTED' properties={'keywords': '"legal compliance, copyright influence""legal compliance, operational limitations"', 'description': '"Project Gutenberg operates within the parameters of U.S. Copyright Law to ensure that its activities align with legal standards.""Project Gutenberg\'s operations are significantly influenced by U.S. Copyright Law, which dictates how works can be shared and accessed."', 'weight': 16.0, 'source_id': 'chunk-af4ae173c561e4594c5aea96198cce9dchunk-c51b3dc560b408cce12cdfe5c9c94f57'}> -2024-10-30 05:55:07,172 - lightrag - INFO - _check_edge_existence:query:MATCH (a:`EBOOK`)-[r]-(b:`PROJECT GUTENBERG`) RETURN COUNT(r) > 0 AS edgeExists:result:True -2024-10-30 05:55:07,306 - lightrag - INFO - get_edge:query: - MATCH (source:`EBOOK`)-[r]-(target:`PROJECT GUTENBERG`) - RETURN r - :result:, ) type='DIRECTED' properties={'keywords': '"digital library, access"', 'description': '"Project Gutenberg provides access to eBooks that follow specific terms of distribution as established in its license."', 'weight': 9.0, 'source_id': 'chunk-af4ae173c561e4594c5aea96198cce9d'}> -2024-10-30 05:55:07,442 - lightrag - INFO - _check_edge_existence:query:MATCH (a:`PROJECT GUTENBERG`)-[r]-(b:`UNITED STATES`) RETURN COUNT(r) > 0 AS edgeExists:result:True -2024-10-30 05:55:07,576 - lightrag - INFO - get_edge:query: - MATCH (source:`PROJECT GUTENBERG`)-[r]-(target:`UNITED STATES`) - RETURN r - :result:, ) type='DIRECTED' properties={'keywords': '"legal framework, copyright law"', 'description': '"Project Gutenberg operates within the legal framework of the United States, influencing its copyright policies and user access."', 'weight': 8.0, 'source_id': 'chunk-194cd9680f4967f48bea89678f7ece21'}> -2024-10-30 05:55:07,714 - lightrag - INFO - _check_edge_existence:query:MATCH (a:`PROJECT GUTENBERG LITERARY ARCHIVE FOUNDATION`)-[r]-(b:`ROYALTY PAYMENTS`) RETURN COUNT(r) > 0 AS edgeExists:result:True -2024-10-30 05:55:07,851 - lightrag - INFO - get_edge:query: - MATCH (source:`PROJECT GUTENBERG LITERARY ARCHIVE FOUNDATION`)-[r]-(target:`ROYALTY PAYMENTS`) - RETURN r - :result:, ) type='DIRECTED' properties={'keywords': '"financial management, trademark"', 'description': '"The Project Gutenberg Literary Archive Foundation oversees the management and collection of Royalty Payments for the use of their trademark."', 'weight': 7.0, 'source_id': 'chunk-af4ae173c561e4594c5aea96198cce9d'}> -2024-10-30 05:55:07,985 - lightrag - INFO - _check_edge_existence:query:MATCH (a:`COPYRIGHT HOLDER`)-[r]-(b:`PROJECT GUTENBERG`) RETURN COUNT(r) > 0 AS edgeExists:result:True -2024-10-30 05:55:08,120 - lightrag - INFO - get_edge:query: - MATCH (source:`COPYRIGHT HOLDER`)-[r]-(target:`PROJECT GUTENBERG`) - RETURN r - :result:, ) type='DIRECTED' properties={'keywords': '"permission, rights management"', 'description': '"Copyright Holders have the authority to grant permission for works posted on Project Gutenberg, influencing availability and distribution."', 'weight': 8.0, 'source_id': 'chunk-af4ae173c561e4594c5aea96198cce9d'}> -2024-10-30 05:55:08,257 - lightrag - INFO - _check_edge_existence:query:MATCH (a:`DISTRIBUTION TERMS`)-[r]-(b:`PARAGRAPHS 1.E.1 THROUGH 1.E.9`) RETURN COUNT(r) > 0 AS edgeExists:result:True -2024-10-30 05:55:08,391 - lightrag - INFO - get_edge:query: - MATCH (source:`DISTRIBUTION TERMS`)-[r]-(target:`PARAGRAPHS 1.E.1 THROUGH 1.E.9`) - RETURN r - :result:, ) type='DIRECTED' properties={'keywords': '"guidelines, usage conditions"', 'description': '"Paragraphs 1.E.1 through 1.E.9 specify the Distribution Terms that govern how Project Gutenberg\'s works can be used and shared."', 'weight': 9.0, 'source_id': 'chunk-af4ae173c561e4594c5aea96198cce9d'}> -2024-10-30 05:55:08,533 - lightrag - INFO - _check_edge_existence:query:MATCH (a:`PROJECT GUTENBERG`)-[r]-(b:`VOLUNTEERS`) RETURN COUNT(r) > 0 AS edgeExists:result:True -2024-10-30 05:55:08,672 - lightrag - INFO - get_edge:query: - MATCH (source:`PROJECT GUTENBERG`)-[r]-(target:`VOLUNTEERS`) - RETURN r - :result:, ) type='DIRECTED' properties={'keywords': '"volunteer contributions, organizational structure"', 'description': '"Volunteers are essential to the mission of Project Gutenberg, contributing significantly to the maintenance and distribution of the collection."', 'weight': 9.0, 'source_id': 'chunk-c51b3dc560b408cce12cdfe5c9c94f57'}> -2024-10-30 05:55:08,811 - lightrag - INFO - _check_edge_existence:query:MATCH (a:`MISSISSIPPI`)-[r]-(b:`PROJECT GUTENBERG LITERARY ARCHIVE FOUNDATION`) RETURN COUNT(r) > 0 AS edgeExists:result:True -2024-10-30 05:55:08,944 - lightrag - INFO - get_edge:query: - MATCH (source:`MISSISSIPPI`)-[r]-(target:`PROJECT GUTENBERG LITERARY ARCHIVE FOUNDATION`) - RETURN r - :result:, ) type='DIRECTED' properties={'keywords': '"legal framework, organizational base""legal identity, location"', 'description': '"The Foundation is organized under the laws of Mississippi, establishing its legal framework.""The Project Gutenberg Literary Archive Foundation is organized under the laws of Mississippi, linking its operations to the state."', 'weight': 13.0, 'source_id': 'chunk-c51b3dc560b408cce12cdfe5c9c94f57chunk-85f77f5e3a9aba01133555a2d20e2fd8'}> -2024-10-30 05:55:09,078 - lightrag - INFO - _check_edge_existence:query:MATCH (a:`PROJECT GUTENBERG LITERARY ARCHIVE FOUNDATION`)-[r]-(b:`SALT LAKE CITY`) RETURN COUNT(r) > 0 AS edgeExists:result:True -2024-10-30 05:55:09,212 - lightrag - INFO - get_edge:query: - MATCH (source:`PROJECT GUTENBERG LITERARY ARCHIVE FOUNDATION`)-[r]-(target:`SALT LAKE CITY`) - RETURN r - :result:, ) type='DIRECTED' properties={'keywords': '"operational base, location""organizational presence, location"', 'description': '"The Foundation has its business office in Salt Lake City, establishing a geographic link to its operations.""The Project Gutenberg Literary Archive Foundation has its business office located in Salt Lake City, establishing a physical presence there."', 'weight': 15.0, 'source_id': 'chunk-c51b3dc560b408cce12cdfe5c9c94f57chunk-85f77f5e3a9aba01133555a2d20e2fd8'}> -2024-10-30 05:55:09,349 - lightrag - INFO - _check_edge_existence:query:MATCH (a:`DEFECTS`)-[r]-(b:`PROJECT GUTENBERG`) RETURN COUNT(r) > 0 AS edgeExists:result:True -2024-10-30 05:55:09,482 - lightrag - INFO - get_edge:query: - MATCH (source:`DEFECTS`)-[r]-(target:`PROJECT GUTENBERG`) - RETURN r - :result:, ) type='DIRECTED' properties={'keywords': '"quality assurance, operational challenges"', 'description': '"The existence of Defects poses challenges to Project Gutenberg\'s integrity and reliability as it seeks to provide quality electronic works."', 'weight': 6.0, 'source_id': 'chunk-c51b3dc560b408cce12cdfe5c9c94f57'}> -2024-10-30 05:55:09,617 - lightrag - INFO - _check_edge_existence:query:MATCH (a:`LEGAL FEES`)-[r]-(b:`VOLUNTEERS`) RETURN COUNT(r) > 0 AS edgeExists:result:True -2024-10-30 05:55:09,751 - lightrag - INFO - get_edge:query: - MATCH (source:`LEGAL FEES`)-[r]-(target:`VOLUNTEERS`) - RETURN r - :result:, ) type='DIRECTED' properties={'keywords': '"legal implications, volunteer risks"', 'description': '"Volunteers may incur Legal Fees if involved in litigation regarding the distribution of Project Gutenberg works or related matters."', 'weight': 5.0, 'source_id': 'chunk-c51b3dc560b408cce12cdfe5c9c94f57'}> -2024-10-30 05:55:09,895 - lightrag - INFO - _check_edge_existence:query:MATCH (a:`CONTRIBUTIONS`)-[r]-(b:`PROJECT GUTENBERG LITERARY ARCHIVE FOUNDATION`) RETURN COUNT(r) > 0 AS edgeExists:result:True -2024-10-30 05:55:10,029 - lightrag - INFO - get_edge:query: - MATCH (source:`CONTRIBUTIONS`)-[r]-(target:`PROJECT GUTENBERG LITERARY ARCHIVE FOUNDATION`) - RETURN r - :result:, ) type='DIRECTED' properties={'keywords': '"funding, operational sustainability"', 'description': '"Contributions are essential for the operational viability of the Foundation, directly supporting its mission."', 'weight': 9.0, 'source_id': 'chunk-85f77f5e3a9aba01133555a2d20e2fd8'}> -2024-10-30 05:55:10,171 - lightrag - INFO - _check_edge_existence:query:MATCH (a:`PROJECT GUTENBERG LITERARY ARCHIVE FOUNDATION`)-[r]-(b:`U.S. INTERNAL REVENUE SERVICE`) RETURN COUNT(r) > 0 AS edgeExists:result:True -2024-10-30 05:55:10,306 - lightrag - INFO - get_edge:query: - MATCH (source:`PROJECT GUTENBERG LITERARY ARCHIVE FOUNDATION`)-[r]-(target:`U.S. INTERNAL REVENUE SERVICE`) - RETURN r - :result:, ) type='DIRECTED' properties={'keywords': '"financial oversight, tax compliance"', 'description': '"The Foundation\'s tax-exempt status is granted by the U.S. Internal Revenue Service, which oversees its financial compliance."', 'weight': 10.0, 'source_id': 'chunk-85f77f5e3a9aba01133555a2d20e2fd8'}> -2024-10-30 05:55:10,441 - lightrag - INFO - _check_edge_existence:query:MATCH (a:`MICHAEL S. HART`)-[r]-(b:`PROJECT GUTENBERG LITERARY ARCHIVE FOUNDATION`) RETURN COUNT(r) > 0 AS edgeExists:result:True -2024-10-30 05:55:10,576 - lightrag - INFO - get_edge:query: - MATCH (source:`MICHAEL S. HART`)-[r]-(target:`PROJECT GUTENBERG LITERARY ARCHIVE FOUNDATION`) - RETURN r - :result:, ) type='DIRECTED' properties={'keywords': '"founder, mission creation"', 'description': '"Michael S. Hart is the originator of the Project Gutenberg concept, instrumental in establishing its mission and operations."', 'weight': 9.0, 'source_id': 'chunk-85f77f5e3a9aba01133555a2d20e2fd8'}> -2024-10-30 05:55:10,710 - lightrag - INFO - _check_edge_existence:query:MATCH (a:`DONATIONS`)-[r]-(b:`PROJECT GUTENBERG LITERARY ARCHIVE FOUNDATION`) RETURN COUNT(r) > 0 AS edgeExists:result:True -2024-10-30 05:55:10,835 - lightrag - INFO - get_edge:query: - MATCH (source:`DONATIONS`)-[r]-(target:`PROJECT GUTENBERG LITERARY ARCHIVE FOUNDATION`) - RETURN r - :result:, ) type='DIRECTED' properties={'keywords': '"financial support, project funding"', 'description': '"Donations are critical financial support for the Foundation, enabling its initiatives and projects."', 'weight': 9.0, 'source_id': 'chunk-85f77f5e3a9aba01133555a2d20e2fd8'}> -2024-10-30 05:55:10,968 - lightrag - INFO - _check_edge_existence:query:MATCH (a:`MICHAEL S. HART`)-[r]-(b:`PROJECT GUTENBERG EBOOKS`) RETURN COUNT(r) > 0 AS edgeExists:result:True -2024-10-30 05:55:11,100 - lightrag - INFO - get_edge:query: - MATCH (source:`MICHAEL S. HART`)-[r]-(target:`PROJECT GUTENBERG EBOOKS`) - RETURN r - :result:, ) type='DIRECTED' properties={'keywords': '"content creation, legacy"', 'description': '"Michael S. Hart has been instrumental in the production and distribution of Project Gutenberg eBooks over forty years."', 'weight': 8.0, 'source_id': 'chunk-85f77f5e3a9aba01133555a2d20e2fd8'}> -2024-10-30 05:55:11,240 - lightrag - INFO - _check_edge_existence:query:MATCH (a:`501(C)(3)`)-[r]-(b:`PROJECT GUTENBERG LITERARY ARCHIVE FOUNDATION`) RETURN COUNT(r) > 0 AS edgeExists:result:True -2024-10-30 05:55:11,376 - lightrag - INFO - get_edge:query: - MATCH (source:`501(C)(3)`)-[r]-(target:`PROJECT GUTENBERG LITERARY ARCHIVE FOUNDATION`) - RETURN r - :result:, ) type='DIRECTED' properties={'keywords': '"tax status, charitable organization"', 'description': '"The Project Gutenberg Literary Archive Foundation operates under the 501(c)(3) tax-exempt status, allowing it to receive tax-deductible donations."', 'weight': 9.0, 'source_id': 'chunk-85f77f5e3a9aba01133555a2d20e2fd8'}> -2024-10-30 05:55:11,513 - lightrag - INFO - _check_edge_existence:query:MATCH (a:`EIN 64-6221541`)-[r]-(b:`PROJECT GUTENBERG LITERARY ARCHIVE FOUNDATION`) RETURN COUNT(r) > 0 AS edgeExists:result:True -2024-10-30 05:55:11,648 - lightrag - INFO - get_edge:query: - MATCH (source:`EIN 64-6221541`)-[r]-(target:`PROJECT GUTENBERG LITERARY ARCHIVE FOUNDATION`) - RETURN r - :result:, ) type='DIRECTED' properties={'keywords': '"tax identification, compliance"', 'description': '"The EIN serves as the foundation\'s identification for tax purposes, linking it to federal tax compliance."', 'weight': 8.0, 'source_id': 'chunk-85f77f5e3a9aba01133555a2d20e2fd8'}> -2024-10-30 05:55:11,787 - lightrag - INFO - _check_edge_existence:query:MATCH (a:`PROJECT GUTENBERG LITERARY ARCHIVE FOUNDATION`)-[r]-(b:`U.S. FEDERAL LAWS`) RETURN COUNT(r) > 0 AS edgeExists:result:True -2024-10-30 05:55:11,915 - lightrag - INFO - get_edge:query: - MATCH (source:`PROJECT GUTENBERG LITERARY ARCHIVE FOUNDATION`)-[r]-(target:`U.S. FEDERAL LAWS`) - RETURN r - :result:, ) type='DIRECTED' properties={'keywords': '"legal compliance, federal regulations"', 'description': '"The Foundation must comply with U.S. federal laws regarding charitable donations and tax-exempt status."', 'weight': 9.0, 'source_id': 'chunk-85f77f5e3a9aba01133555a2d20e2fd8'}> -2024-10-30 05:55:12,051 - lightrag - INFO - _check_edge_existence:query:MATCH (a:`PROJECT GUTENBERG LITERARY ARCHIVE FOUNDATION`)-[r]-(b:`WEBSITE`) RETURN COUNT(r) > 0 AS edgeExists:result:True -2024-10-30 05:55:12,181 - lightrag - INFO - get_edge:query: - MATCH (source:`PROJECT GUTENBERG LITERARY ARCHIVE FOUNDATION`)-[r]-(target:`WEBSITE`) - RETURN r - :result:, ) type='DIRECTED' properties={'keywords': '"information dissemination, online presence"', 'description': '"The Foundation uses its website to facilitate donations and disseminate information about its services and eBooks."', 'weight': 8.0, 'source_id': 'chunk-85f77f5e3a9aba01133555a2d20e2fd8'}> -2024-10-30 05:55:12,320 - lightrag - INFO - _check_edge_existence:query:MATCH (a:`PROJECT GUTENBERG LITERARY ARCHIVE FOUNDATION`)-[r]-(b:`PUBLIC DOMAIN`) RETURN COUNT(r) > 0 AS edgeExists:result:True -2024-10-30 05:55:12,452 - lightrag - INFO - get_edge:query: - MATCH (source:`PROJECT GUTENBERG LITERARY ARCHIVE FOUNDATION`)-[r]-(target:`PUBLIC DOMAIN`) - RETURN r - :result:, ) type='DIRECTED' properties={'keywords': '"accessibility, distribution"', 'description': '"The Foundation\'s mission is focused on distributing works that are in the Public Domain, enhancing accessibility for the public."', 'weight': 9.0, 'source_id': 'chunk-85f77f5e3a9aba01133555a2d20e2fd8'}> -2024-10-30 06:03:54,682 - lightrag - INFO - Logger initialized for working directory: ./neo4jWorkDir -2024-10-30 06:03:54,682 - lightrag - DEBUG - LightRAG init with param: - working_dir = ./neo4jWorkDir, - chunk_token_size = 1200, - chunk_overlap_token_size = 100, - tiktoken_model_name = gpt-4o-mini, - entity_extract_max_gleaning = 1, - entity_summary_to_max_tokens = 500, - node_embedding_algorithm = node2vec, - node2vec_params = {'dimensions': 1536, 'num_walks': 10, 'walk_length': 40, 'window_size': 2, 'iterations': 3, 'random_seed': 3}, - embedding_func = {'embedding_dim': 1536, 'max_token_size': 8192, 'func': }, - embedding_batch_num = 32, - embedding_func_max_async = 16, - llm_model_func = , - llm_model_name = meta-llama/Llama-3.2-1B-Instruct, - llm_model_max_token_size = 32768, - llm_model_max_async = 16, - key_string_value_json_storage_cls = , - vector_db_storage_cls = , - vector_db_storage_cls_kwargs = {}, - graph_storage_cls = , - enable_llm_cache = True, - addon_params = {}, - convert_response_to_json_func = - -2024-10-30 06:03:54,682 - lightrag - INFO - Load KV full_docs with 0 data -2024-10-30 06:03:54,683 - lightrag - INFO - Load KV text_chunks with 0 data -2024-10-30 06:03:54,684 - lightrag - INFO - Load KV llm_response_cache with 105 data -2024-10-30 06:03:54,687 - lightrag - INFO - Creating a new event loop in a sub-thread. -2024-10-30 06:03:54,688 - lightrag - INFO - [New Docs] inserting 1 docs -2024-10-30 06:03:54,864 - lightrag - INFO - [New Chunks] inserting 42 chunks -2024-10-30 06:03:54,864 - lightrag - INFO - Inserting 42 vectors to chunks -2024-10-30 06:03:56,387 - lightrag - INFO - [Entity Extraction]... -2024-10-30 06:03:57,188 - lightrag - INFO - get_node:query:MATCH (n:`PROJECT GUTENBERG`) RETURN n:result:"Project Gutenberg is a digital library offering free access to a vast array of eBooks, particularly those not protected by U.S. copyright law, allowing for worldwide distribution under specific conditions.""Project Gutenberg is a digital library offering free access to a vast array of eBooks, particularly those not protected by U.S. copyright law, allowing for worldwide distribution under specific conditions.""Project Gutenberg is a digital library offering free eBooks, allowing anyone to access literature in various formats without restrictions.""Project Gutenberg is a digital library providing free access to a wide range of eBooks, primarily in the United States and other regions, under specific licensing terms.""Project Gutenberg is an organization dedicated to the free distribution of electronic works and the preservation of the cultural heritage by providing access to public domain literature.""Project Gutenberg is an organization dedicated to the free distribution of electronic works, relying on volunteers and donations to maintain its collection.""Project Gutenberg is an organization that promotes the free distribution of electronic works and holds a compilation copyright for its collection.""Project Gutenberg is an organization that provides free eBooks, promoting accessibility to literature without restrictions.""Project Gutenberg is an organization dedicated to the free distribution of electronic works, relying on volunteers and donations to maintain its collection.""Project Gutenberg is an organization that promotes the free distribution of electronic works and holds a compilation copyright for its collection.""Project Gutenberg is an organization that provides free eBooks, promoting accessibility to literature without restrictions.""Project Gutenberg is an organization dedicated to the free distribution of electronic works, relying on volunteers and donations to maintain its collection.""Project Gutenberg is an organization that promotes the free distribution of electronic works and holds a compilation copyright for its collection.""Project Gutenberg is an organization that provides free eBooks, promoting accessibility to literature without restrictions."', 'source_id': 'chunk-194cd9680f4967f48bea89678f7ece21chunk-c51b3dc560b408cce12cdfe5c9c94f57chunk-af4ae173c561e4594c5aea96198cce9dchunk-9e3921da66da5d761ab73cd849af6c43'}> -2024-10-30 06:03:57,190 - lightrag - DEBUG - Trigger summary: "PROJECT GUTENBERG" -2024-10-30 06:03:57,292 - lightrag - INFO - get_node:query:MATCH (n:`A CHRISTMAS CAROL`) RETURN n:result:"A Christmas Carol is a famous novella by Charles Dickens that tells the story of Ebenezer Scrooge\'s transformation and redemption, particularly around the Christmas season.""A Christmas Carol is a famous novella by Charles Dickens that tells the story of Ebenezer Scrooge\'s transformation and redemption, particularly around the Christmas season.""A Christmas Carol is a literary work available through Project Gutenberg, indicating its role in literature and public access.""A Christmas Carol is a novella by Charles Dickens that explores themes of redemption, compassion, and the spirit of Christmas, first published in 1843.""A Christmas Carol is a literary work available through Project Gutenberg, indicating its role in literature and public access.""A Christmas Carol is a literary work available through Project Gutenberg, indicating its role in literature and public access."', 'source_id': 'chunk-194cd9680f4967f48bea89678f7ece21chunk-9e3921da66da5d761ab73cd849af6c43'}> -2024-10-30 06:03:57,435 - lightrag - INFO - _do_upsert:query: - MERGE (n:`A CHRISTMAS CAROL`) - SET n += $properties - RETURN n - :result:{'entity_type': '"EVENT"', 'description': '"A Christmas Carol is a famous novella by Charles Dickens that tells the story of Ebenezer Scrooge\'s transformation and redemption, particularly around the Christmas season.""A Christmas Carol is a famous novella by Charles Dickens that tells the story of Ebenezer Scrooge\'s transformation and redemption, particularly around the Christmas season.""A Christmas Carol is a famous novella by Charles Dickens that tells the story of Ebenezer Scrooge\'s transformation and redemption, particularly around the Christmas season.""A Christmas Carol is a famous novella by Charles Dickens that tells the story of Ebenezer Scrooge\'s transformation and redemption, particularly around the Christmas season.""A Christmas Carol is a literary work available through Project Gutenberg, indicating its role in literature and public access.""A Christmas Carol is a novella by Charles Dickens that explores themes of redemption, compassion, and the spirit of Christmas, first published in 1843.""A Christmas Carol is a literary work available through Project Gutenberg, indicating its role in literature and public access.""A Christmas Carol is a literary work available through Project Gutenberg, indicating its role in literature and public access.""A Christmas Carol is a literary work available through Project Gutenberg, indicating its role in literature and public access."', 'source_id': 'chunk-194cd9680f4967f48bea89678f7ece21chunk-9e3921da66da5d761ab73cd849af6c43'} -2024-10-30 06:03:57,566 - lightrag - INFO - get_node:query:MATCH (n:`CHARLES DICKENS`) RETURN n:result:"Charles Dickens is the author of A Christmas Carol, a prominent English writer known for his literary contributions in the 19th century.""Charles Dickens is the author of A Christmas Carol, a prominent English writer known for his literary contributions in the 19th century.""Charles Dickens is the author of A Christmas Carol, a prominent English writer known for his literary contributions in the 19th century."', 'source_id': 'chunk-9e3921da66da5d761ab73cd849af6c43'}> -2024-10-30 06:03:57,701 - lightrag - INFO - _do_upsert:query: - MERGE (n:`CHARLES DICKENS`) - SET n += $properties - RETURN n - :result:{'entity_type': '"PERSON"', 'description': '"Charles Dickens is a renowned English writer and social critic, best known for his novels depicting Victorian society, including A Christmas Carol.""Charles Dickens is the author of A Christmas Carol, a prominent English writer known for his literary contributions in the 19th century.""Charles Dickens is the author of A Christmas Carol, a prominent English writer known for his literary contributions in the 19th century.""Charles Dickens is the author of A Christmas Carol, a prominent English writer known for his literary contributions in the 19th century.""Charles Dickens is the author of A Christmas Carol, a prominent English writer known for his literary contributions in the 19th century."', 'source_id': 'chunk-9e3921da66da5d761ab73cd849af6c43'} -2024-10-30 06:03:57,833 - lightrag - INFO - get_node:query:MATCH (n:`ARTHUR RACKHAM`) RETURN n:result:"Arthur Rackham is the illustrator of A Christmas Carol, renowned for his distinctive style in illustrating classic literature.""Arthur Rackham is the illustrator of A Christmas Carol, renowned for his distinctive style in illustrating classic literature.""Arthur Rackham was an English illustrator known for his imaginative and detailed illustrations for children\'s books, including A Christmas Carol."', 'source_id': 'chunk-9e3921da66da5d761ab73cd849af6c43'}> -2024-10-30 06:03:57,964 - lightrag - INFO - _do_upsert:query: - MERGE (n:`ARTHUR RACKHAM`) - SET n += $properties - RETURN n - :result:{'entity_type': '"PERSON"', 'description': '"Arthur Rackham is the illustrator of A Christmas Carol, renowned for his distinctive style in illustrating classic literature.""Arthur Rackham is the illustrator of A Christmas Carol, renowned for his distinctive style in illustrating classic literature.""Arthur Rackham is the illustrator of A Christmas Carol, renowned for his distinctive style in illustrating classic literature.""Arthur Rackham is the illustrator of A Christmas Carol, renowned for his distinctive style in illustrating classic literature.""Arthur Rackham was an English illustrator known for his imaginative and detailed illustrations for children\'s books, including A Christmas Carol."', 'source_id': 'chunk-9e3921da66da5d761ab73cd849af6c43'} -2024-10-30 06:03:58,098 - lightrag - INFO - get_node:query:MATCH (n:`EBENEZER SCROOGE`) RETURN n:result:"Ebenezer Scrooge is a central character known for his past connections and interactions, especially with Fezziwig and Dick Wilkins.""Ebenezer Scrooge is a central character known for his past connections and interactions, especially with Fezziwig and Dick Wilkins.""Ebenezer Scrooge is a protagonist who experiences confusion and fear regarding the passage of time and supernatural events, especially concerned about a ghostly visitation.""Ebenezer Scrooge is the main character of A Christmas Carol, portrayed as a miserly and greedy old man who experiences a transformation through the visitation of spirits.""Ebenezer Scrooge is the main character of A Christmas Carol, depicted as a miserly and cold-hearted man who undergoes a significant transformation.""Ebenezer Scrooge is the main character who experiences a profound transformation through his encounters with supernatural entities.""Ebenezer Scrooge is the main character of A Christmas Carol, depicted as a miserly and cold-hearted man who undergoes a significant transformation.""Ebenezer Scrooge is the main character who experiences a profound transformation through his encounters with supernatural entities.""Ebenezer Scrooge is the main character of A Christmas Carol, depicted as a miserly and cold-hearted man who undergoes a significant transformation.""Ebenezer Scrooge is the main character who experiences a profound transformation through his encounters with supernatural entities."', 'source_id': 'chunk-8bc1edd983869352d14cf0886a9175a7chunk-c7b10789a9cb0af6c553730b29bd9034chunk-9e3921da66da5d761ab73cd849af6c43'}> -2024-10-30 06:03:58,232 - lightrag - INFO - _do_upsert:query: - MERGE (n:`EBENEZER SCROOGE`) - SET n += $properties - RETURN n - :result:{'entity_type': '"PERSON"', 'description': '"Ebenezer Scrooge is a central character known for his past connections and interactions, especially with Fezziwig and Dick Wilkins.""Ebenezer Scrooge is a central character known for his past connections and interactions, especially with Fezziwig and Dick Wilkins.""Ebenezer Scrooge is a central character known for his past connections and interactions, especially with Fezziwig and Dick Wilkins.""Ebenezer Scrooge is a central character known for his past connections and interactions, especially with Fezziwig and Dick Wilkins.""Ebenezer Scrooge is a protagonist who experiences confusion and fear regarding the passage of time and supernatural events, especially concerned about a ghostly visitation.""Ebenezer Scrooge is the main character of A Christmas Carol, portrayed as a miserly and greedy old man who experiences a transformation through the visitation of spirits.""Ebenezer Scrooge is the main character of A Christmas Carol, depicted as a miserly and cold-hearted man who undergoes a significant transformation.""Ebenezer Scrooge is the main character who experiences a profound transformation through his encounters with supernatural entities.""Ebenezer Scrooge is the main character of A Christmas Carol, depicted as a miserly and cold-hearted man who undergoes a significant transformation.""Ebenezer Scrooge is the main character who experiences a profound transformation through his encounters with supernatural entities.""Ebenezer Scrooge is the main character of A Christmas Carol, depicted as a miserly and cold-hearted man who undergoes a significant transformation.""Ebenezer Scrooge is the main character who experiences a profound transformation through his encounters with supernatural entities.""Ebenezer Scrooge is the main character of A Christmas Carol, depicted as a miserly and cold-hearted man who undergoes a significant transformation.""Ebenezer Scrooge is the main character who experiences a profound transformation through his encounters with supernatural entities."', 'source_id': 'chunk-c7b10789a9cb0af6c553730b29bd9034chunk-9e3921da66da5d761ab73cd849af6c43chunk-8bc1edd983869352d14cf0886a9175a7'} -2024-10-30 06:03:58,362 - lightrag - INFO - get_node:query:MATCH (n:`BOB CRATCHIT`) RETURN n:result:chunk-19d72c57ae3408758b18d2568e86dc6bchunk-91572b3cd42786ba4cb2f180ca25cbf4chunk-94bea83e7153fc2064aa382b494936a1chunk-83ac129dc9b56f84c46760d153d68e93chunk-503f0bfa5453467c7c61d160a3540ecachunk-1d4b58de5429cd1261370c231c8673e8chunk-90b95db5c53e4364a6bee36b7aa4d70fchunk-b0f459f5af1c3a5e0b92cbe4ee48b77bchunk-7e2e7ebcc19a53b399dc03aded4743e7chunk-9e3921da66da5d761ab73cd849af6c43'}> -2024-10-30 06:03:58,364 - lightrag - DEBUG - Trigger summary: "BOB CRATCHIT" -2024-10-30 06:03:58,464 - lightrag - INFO - get_node:query:MATCH (n:`TINY TIM`) RETURN n:result:chunk-19d72c57ae3408758b18d2568e86dc6bchunk-91572b3cd42786ba4cb2f180ca25cbf4chunk-94bea83e7153fc2064aa382b494936a1chunk-83ac129dc9b56f84c46760d153d68e93chunk-503f0bfa5453467c7c61d160a3540ecachunk-1d4b58de5429cd1261370c231c8673e8chunk-90b95db5c53e4364a6bee36b7aa4d70fchunk-7e2e7ebcc19a53b399dc03aded4743e7chunk-9e3921da66da5d761ab73cd849af6c43'}> -2024-10-30 06:03:58,467 - lightrag - DEBUG - Trigger summary: "TINY TIM" -2024-10-30 06:03:58,567 - lightrag - INFO - get_node:query:MATCH (n:`MR. FEZZIWIG`) RETURN n:result:"Mr. Fezziwig is a kind-hearted merchant and former employer of Scrooge, representing joy and generosity in contrast to Scrooge\'s character.""Mr. Fezziwig is a kind-hearted merchant and former employer of Scrooge, representing joy and generosity in contrast to Scrooge\'s character.""Mr. Fezziwig is a kind-hearted old merchant who served as a mentor to Scrooge, representing generosity and the joy of Christmas through his festive parties."', 'source_id': 'chunk-9e3921da66da5d761ab73cd849af6c43'}> -2024-10-30 06:03:58,700 - lightrag - INFO - _do_upsert:query: - MERGE (n:`MR. FEZZIWIG`) - SET n += $properties - RETURN n - :result:{'entity_type': '"PERSON"', 'description': '"Mr. Fezziwig is a kind-hearted merchant and former employer of Scrooge, representing joy and generosity in contrast to Scrooge\'s character.""Mr. Fezziwig is a kind-hearted merchant and former employer of Scrooge, representing joy and generosity in contrast to Scrooge\'s character.""Mr. Fezziwig is a kind-hearted merchant and former employer of Scrooge, representing joy and generosity in contrast to Scrooge\'s character.""Mr. Fezziwig is a kind-hearted merchant and former employer of Scrooge, representing joy and generosity in contrast to Scrooge\'s character.""Mr. Fezziwig is a kind-hearted old merchant who served as a mentor to Scrooge, representing generosity and the joy of Christmas through his festive parties."', 'source_id': 'chunk-9e3921da66da5d761ab73cd849af6c43'} -2024-10-30 06:03:58,829 - lightrag - INFO - get_node:query:MATCH (n:`GHOST OF CHRISTMAS PAST`) RETURN n:result:"The Ghost of Christmas Past is a supernatural entity that aids Scrooge in reflecting on his past experiences and emotions.""The Ghost of Christmas Past is one of the spirits in A Christmas Carol that shows Scrooge his past, prompting reflection and change.""The Ghost of Christmas Past represents a spirit that guides Scrooge to revisit and reflect on his past experiences and memories.""The Ghost of Christmas Past is one of the spirits in A Christmas Carol that shows Scrooge his past, prompting reflection and change.""The Ghost of Christmas Past represents a spirit that guides Scrooge to revisit and reflect on his past experiences and memories.""The Ghost of Christmas Past is one of the spirits in A Christmas Carol that shows Scrooge his past, prompting reflection and change.""The Ghost of Christmas Past represents a spirit that guides Scrooge to revisit and reflect on his past experiences and memories."', 'source_id': 'chunk-bb21d58d36c6306fd8810ddd51c4a971chunk-9e3921da66da5d761ab73cd849af6c43'}> -2024-10-30 06:03:58,964 - lightrag - INFO - _do_upsert:query: - MERGE (n:`GHOST OF CHRISTMAS PAST`) - SET n += $properties - RETURN n - :result:{'entity_type': '"EVENT"', 'description': '"The Ghost of Christmas Past is a supernatural character that shows Scrooge his past, helping him understand the roots of his current miserliness.""The Ghost of Christmas Past is a supernatural entity that aids Scrooge in reflecting on his past experiences and emotions.""The Ghost of Christmas Past is one of the spirits in A Christmas Carol that shows Scrooge his past, prompting reflection and change.""The Ghost of Christmas Past represents a spirit that guides Scrooge to revisit and reflect on his past experiences and memories.""The Ghost of Christmas Past is one of the spirits in A Christmas Carol that shows Scrooge his past, prompting reflection and change.""The Ghost of Christmas Past represents a spirit that guides Scrooge to revisit and reflect on his past experiences and memories.""The Ghost of Christmas Past is one of the spirits in A Christmas Carol that shows Scrooge his past, prompting reflection and change.""The Ghost of Christmas Past represents a spirit that guides Scrooge to revisit and reflect on his past experiences and memories.""The Ghost of Christmas Past is one of the spirits in A Christmas Carol that shows Scrooge his past, prompting reflection and change.""The Ghost of Christmas Past represents a spirit that guides Scrooge to revisit and reflect on his past experiences and memories."', 'source_id': 'chunk-bb21d58d36c6306fd8810ddd51c4a971chunk-9e3921da66da5d761ab73cd849af6c43'} -2024-10-30 06:03:59,095 - lightrag - INFO - get_node:query:MATCH (n:`GHOST OF CHRISTMAS PRESENT`) RETURN n:result:"The Ghost of Christmas Present is a spirit that reveals to Scrooge the joys and struggles of the present Christmas season, emphasizing generosity and compassion.""The Ghost of Christmas Present is a spirit that represents generosity and joy, playing a pivotal role in teaching Scrooge valuable lessons about kindness and the Christmas spirit.""The Ghost of Christmas Present is a spirit that reveals the current struggles and joys of others, influencing Scrooge\'s perspective.""The Ghost of Christmas Present is a spirit that represents generosity and joy, playing a pivotal role in teaching Scrooge valuable lessons about kindness and the Christmas spirit.""The Ghost of Christmas Present is a spirit that reveals the current struggles and joys of others, influencing Scrooge\'s perspective.""The Ghost of Christmas Present is a spirit that represents generosity and joy, playing a pivotal role in teaching Scrooge valuable lessons about kindness and the Christmas spirit.""The Ghost of Christmas Present is a spirit that reveals the current struggles and joys of others, influencing Scrooge\'s perspective."', 'source_id': 'chunk-843b5b2f944c7413d9ca876e2e2f151fchunk-9e3921da66da5d761ab73cd849af6c43'}> -2024-10-30 06:03:59,234 - lightrag - INFO - _do_upsert:query: - MERGE (n:`GHOST OF CHRISTMAS PRESENT`) - SET n += $properties - RETURN n - :result:{'entity_type': '"EVENT"', 'description': '"The Ghost of Christmas Present is a spirit that embodies generosity and abundance, leading Scrooge to self-reflection and understanding.""The Ghost of Christmas Present is a spirit that reveals to Scrooge the joys and struggles of the present Christmas season, emphasizing generosity and compassion.""The Ghost of Christmas Present is a spirit that represents generosity and joy, playing a pivotal role in teaching Scrooge valuable lessons about kindness and the Christmas spirit.""The Ghost of Christmas Present is a spirit that reveals the current struggles and joys of others, influencing Scrooge\'s perspective.""The Ghost of Christmas Present is a spirit that represents generosity and joy, playing a pivotal role in teaching Scrooge valuable lessons about kindness and the Christmas spirit.""The Ghost of Christmas Present is a spirit that reveals the current struggles and joys of others, influencing Scrooge\'s perspective.""The Ghost of Christmas Present is a spirit that represents generosity and joy, playing a pivotal role in teaching Scrooge valuable lessons about kindness and the Christmas spirit.""The Ghost of Christmas Present is a spirit that reveals the current struggles and joys of others, influencing Scrooge\'s perspective.""The Ghost of Christmas Present is a spirit that represents generosity and joy, playing a pivotal role in teaching Scrooge valuable lessons about kindness and the Christmas spirit.""The Ghost of Christmas Present is a spirit that reveals the current struggles and joys of others, influencing Scrooge\'s perspective."', 'source_id': 'chunk-843b5b2f944c7413d9ca876e2e2f151fchunk-9e3921da66da5d761ab73cd849af6c43'} -2024-10-30 06:03:59,361 - lightrag - INFO - get_node:query:MATCH (n:`GHOST OF CHRISTMAS YET TO COME`) RETURN n:result:"The Ghost of Christmas Yet to Come is a foreboding spirit that shows Scrooge the potential consequences of his actions if he does not change.""The Ghost of Christmas Yet to Come is a foreboding spirit that shows Scrooge the potential consequences of his actions if he does not change.""The Ghost of Christmas Yet to Come is an apparition that presents Scrooge with a grim vision of his possible future if he doesn\'t change his ways.""The Ghost of Christmas Yet to Come is an event within the story that signifies Scrooge\'s confrontation with the future consequences of his actions.""The Ghost of Christmas Yet to Come signifies a pivotal moment where Scrooge is confronted with the potential futures resulting from his life choices.""The Ghost of Christmas Yet to Come signifies a pivotal moment where Scrooge is confronted with the potential futures resulting from his life choices.""The Ghost of Christmas Yet to Come signifies a pivotal moment where Scrooge is confronted with the potential futures resulting from his life choices."', 'source_id': 'chunk-02baee20cc9463dbe08170a8e1043e32chunk-9e3921da66da5d761ab73cd849af6c43'}> -2024-10-30 06:03:59,500 - lightrag - INFO - _do_upsert:query: - MERGE (n:`GHOST OF CHRISTMAS YET TO COME`) - SET n += $properties - RETURN n - :result:{'entity_type': '"EVENT"', 'description': '"The Ghost of Christmas Yet to Come is a foreboding spirit that shows Scrooge the potential consequences of his actions if he does not change.""The Ghost of Christmas Yet to Come is a foreboding spirit that shows Scrooge the potential consequences of his actions if he does not change.""The Ghost of Christmas Yet to Come is a foreboding spirit that shows Scrooge the potential consequences of his actions if he does not change.""The Ghost of Christmas Yet to Come is a foreboding spirit that shows Scrooge the potential consequences of his actions if he does not change.""The Ghost of Christmas Yet to Come is an apparition that presents Scrooge with a grim vision of his possible future if he doesn\'t change his ways.""The Ghost of Christmas Yet to Come is an event within the story that signifies Scrooge\'s confrontation with the future consequences of his actions.""The Ghost of Christmas Yet to Come signifies a pivotal moment where Scrooge is confronted with the potential futures resulting from his life choices.""The Ghost of Christmas Yet to Come signifies a pivotal moment where Scrooge is confronted with the potential futures resulting from his life choices.""The Ghost of Christmas Yet to Come signifies a pivotal moment where Scrooge is confronted with the potential futures resulting from his life choices.""The Ghost of Christmas Yet to Come signifies a pivotal moment where Scrooge is confronted with the potential futures resulting from his life choices."', 'source_id': 'chunk-9e3921da66da5d761ab73cd849af6c43chunk-02baee20cc9463dbe08170a8e1043e32'} -2024-10-30 06:03:59,632 - lightrag - INFO - get_node:query:MATCH (n:`FRED`) RETURN n:result:chunk-8f738cb25d60a7dab782162d9d0a25edchunk-94bea83e7153fc2064aa382b494936a1chunk-e7637ff18c5ded77a68cce0a87883fadchunk-9e3921da66da5d761ab73cd849af6c43'}> -2024-10-30 06:03:59,767 - lightrag - INFO - _do_upsert:query: - MERGE (n:`FRED`) - SET n += $properties - RETURN n - :result:{'entity_type': '"PERSON"', 'description': '"Fred is Ebenezer Scrooge\'s nephew, who embodies the spirit of Christmas and represents familial love and joy.""Fred is Scrooge\'s nephew who expresses admiration for Scrooge and raises a toast to his uncle during a Christmas gathering.""Fred is Scrooge\'s nephew, representing familial love and the joy of Christmas gatherings.""Fred is Scrooge\'s nephew, who invites Scrooge to dinner, emphasizing familial connections and the spirit of Christmas.""Fred is Scrooge\'s nephew, who is surprised by Scrooge\'s visit and is depicted as a friendly figure during the Christmas gathering."Fred is Ebenezer Scrooge\'s lively nephew, who embodies the spirit of Christmas and serves as a striking contrast to Scrooge\'s misanthropic nature. He represents familial love and joy, often inviting Scrooge to family gatherings and emphasizing the importance of familial connections during the holiday season. Fred expresses admiration for his uncle and raises a toast in his honor at Christmas gatherings, showcasing his warmth and festive spirit. His character highlights the warmth of family that Scrooge initially rejects, and he is depicted as a friendly figure who is surprised and pleased by Scrooge\'s unexpected visits. Overall, Fred exemplifies the joy and unity of Christmas, passionately inviting Scrooge to embrace the happiness associated with the holiday and family.', 'source_id': 'chunk-e7637ff18c5ded77a68cce0a87883fadchunk-94bea83e7153fc2064aa382b494936a1chunk-9e3921da66da5d761ab73cd849af6c43chunk-8f738cb25d60a7dab782162d9d0a25edchunk-89777b838d5447c7bd1ec11282c4ee89'} -2024-10-30 06:03:59,903 - lightrag - INFO - get_node:query:MATCH (n:`MRS. CRATCHIT`) RETURN n:result:"Mrs. Cratchit is Bob\'s wife, proud of her cooking skills, particularly the Christmas pudding, and plays a central role in the family\'s holiday celebration.""Mrs. Cratchit is Bob\'s wife, who expresses care for her family and shares in the emotional moments surrounding Tiny Tim\'s health.""Mrs. Cratchit is portrayed as outspoken and resentful towards Scrooge, yet ultimately participates in the Christmas festivities for her family\'s sake.""Mrs. Cratchit is the mother of the Cratchit family, depicted as nurturing and energetic, managing the Christmas preparations and caring for her children.""Mrs. Cratchit is the wife of Bob Cratchit, who supports her family and embodies warmth and resilience despite their struggles.""Mrs. Cratchit, the wife of Bob, is industrious and caring, focused on the well-being of her family."Mrs. Cratchit is depicted as Bob Cratchit\'s supportive and industrious wife, embodying warmth and resilience amidst their financial struggles. She plays a central role in managing the household and preparing festive meals, notably the Christmas pudding, showcasing her pride in family traditions and her cooking skills. Despite feeling strong disdain for Scrooge, she passionately engages in the Christmas festivities for the sake of her family, reflecting her nurturing nature and concern for her children\'s well-being, particularly in regard to Tiny Tim\'s health. Throughout the holiday preparations, Mrs. Cratchit displays her devotion and care, striving to create a joyous atmosphere despite their limited resources. She is portrayed as both outspoken and energetic, contributing to the emotional dynamics of the family while remaining focused on their shared experiences during the Christmas celebration.', 'source_id': 'chunk-19d72c57ae3408758b18d2568e86dc6bchunk-91572b3cd42786ba4cb2f180ca25cbf4chunk-503f0bfa5453467c7c61d160a3540ecachunk-1d4b58de5429cd1261370c231c8673e8chunk-b0f459f5af1c3a5e0b92cbe4ee48b77bchunk-7e2e7ebcc19a53b399dc03aded4743e7chunk-9e3921da66da5d761ab73cd849af6c43'}> -2024-10-30 06:03:59,905 - lightrag - DEBUG - Trigger summary: "MRS. CRATCHIT" -2024-10-30 06:04:00,005 - lightrag - INFO - get_node:query:MATCH (n:`BELINDA CRATCHIT`) RETURN n:result:"Belinda Cratchit is one of Bob Cratchit\'s daughters, assisting her mother in laying the dining cloth.""Belinda is a daughter of Bob and Mrs. Cratchit, representing the Cratchit family\'s love and unity during difficult times.""Belinda Cratchit is one of Bob\'s daughters, assisting in household tasks and showing a strong familial bond.""Belinda is the daughter of Bob and Mrs. Cratchit, representing the innocence and joyful spirit of the Cratchit family.""Belinda Cratchit is one of Bob\'s daughters, assisting in household tasks and showing a strong familial bond.""Belinda is the daughter of Bob and Mrs. Cratchit, representing the innocence and joyful spirit of the Cratchit family.""Belinda Cratchit is one of Bob\'s daughters, assisting in household tasks and showing a strong familial bond.""Belinda is the daughter of Bob and Mrs. Cratchit, representing the innocence and joyful spirit of the Cratchit family."', 'source_id': 'chunk-b0f459f5af1c3a5e0b92cbe4ee48b77bchunk-7e2e7ebcc19a53b399dc03aded4743e7chunk-9e3921da66da5d761ab73cd849af6c43'}> -2024-10-30 06:04:00,141 - lightrag - INFO - _do_upsert:query: - MERGE (n:`BELINDA CRATCHIT`) - SET n += $properties - RETURN n - :result:{'entity_type': '"PERSON"', 'description': '"Belinda Cratchit is another daughter in the Cratchit family, depicted as participating in the festive meal by sweetening the apple sauce, showcasing her involvement in family traditions.""Belinda Cratchit is one of Bob Cratchit\'s daughters, assisting her mother in laying the dining cloth.""Belinda is a daughter of Bob and Mrs. Cratchit, representing the Cratchit family\'s love and unity during difficult times.""Belinda Cratchit is one of Bob\'s daughters, assisting in household tasks and showing a strong familial bond.""Belinda is the daughter of Bob and Mrs. Cratchit, representing the innocence and joyful spirit of the Cratchit family.""Belinda Cratchit is one of Bob\'s daughters, assisting in household tasks and showing a strong familial bond.""Belinda is the daughter of Bob and Mrs. Cratchit, representing the innocence and joyful spirit of the Cratchit family.""Belinda Cratchit is one of Bob\'s daughters, assisting in household tasks and showing a strong familial bond.""Belinda is the daughter of Bob and Mrs. Cratchit, representing the innocence and joyful spirit of the Cratchit family.""Belinda Cratchit is one of Bob\'s daughters, assisting in household tasks and showing a strong familial bond.""Belinda is the daughter of Bob and Mrs. Cratchit, representing the innocence and joyful spirit of the Cratchit family."', 'source_id': 'chunk-7e2e7ebcc19a53b399dc03aded4743e7chunk-b0f459f5af1c3a5e0b92cbe4ee48b77bchunk-9e3921da66da5d761ab73cd849af6c43'} -2024-10-30 06:04:00,276 - lightrag - INFO - get_node:query:MATCH (n:`MARTHA CRATCHIT`) RETURN n:result:"Martha is another daughter of Bob and Mrs. Cratchit, who, like her sister Belinda, symbolizes the warmth and togetherness in the Cratchit household.""Martha Cratchit is a daughter of Bob and Mrs. Cratchit, working as an apprentice at a milliner\'s and looking forward to the holiday for a good rest.""Martha is another daughter of Bob and Mrs. Cratchit, who shows love and care for her family.""Martha Cratchit is a daughter of Bob and Mrs. Cratchit, working as an apprentice at a milliner\'s and looking forward to the holiday for a good rest.""Martha is another daughter of Bob and Mrs. Cratchit, who shows love and care for her family.""Martha Cratchit is a daughter of Bob and Mrs. Cratchit, working as an apprentice at a milliner\'s and looking forward to the holiday for a good rest.""Martha is another daughter of Bob and Mrs. Cratchit, who shows love and care for her family."', 'source_id': 'chunk-7e2e7ebcc19a53b399dc03aded4743e7chunk-19d72c57ae3408758b18d2568e86dc6bchunk-9e3921da66da5d761ab73cd849af6c43'}> -2024-10-30 06:04:00,418 - lightrag - INFO - _do_upsert:query: - MERGE (n:`MARTHA CRATCHIT`) - SET n += $properties - RETURN n - :result:{'entity_type': '"PERSON"', 'description': '"Martha Cratchit is a daughter in the Cratchit family who contributes to the household and shows affection for her family, particularly her father Bob.""Martha is another daughter of Bob and Mrs. Cratchit, who, like her sister Belinda, symbolizes the warmth and togetherness in the Cratchit household.""Martha Cratchit is a daughter of Bob and Mrs. Cratchit, working as an apprentice at a milliner\'s and looking forward to the holiday for a good rest.""Martha is another daughter of Bob and Mrs. Cratchit, who shows love and care for her family.""Martha Cratchit is a daughter of Bob and Mrs. Cratchit, working as an apprentice at a milliner\'s and looking forward to the holiday for a good rest.""Martha is another daughter of Bob and Mrs. Cratchit, who shows love and care for her family.""Martha Cratchit is a daughter of Bob and Mrs. Cratchit, working as an apprentice at a milliner\'s and looking forward to the holiday for a good rest.""Martha is another daughter of Bob and Mrs. Cratchit, who shows love and care for her family.""Martha Cratchit is a daughter of Bob and Mrs. Cratchit, working as an apprentice at a milliner\'s and looking forward to the holiday for a good rest.""Martha is another daughter of Bob and Mrs. Cratchit, who shows love and care for her family."', 'source_id': 'chunk-7e2e7ebcc19a53b399dc03aded4743e7chunk-19d72c57ae3408758b18d2568e86dc6bchunk-9e3921da66da5d761ab73cd849af6c43'} -2024-10-30 06:04:00,551 - lightrag - INFO - get_node:query:MATCH (n:`JOE`) RETURN n:result:"Joe is a marine-store dealer depicted as receiving stolen goods, illustrating the consequences of crime and the darker sides of society.""Joe is portrayed as a character engaged in a conversation about the deceased, displaying a mix of humor and practicality in dealing with the possessions of the dead.""Joe is a character who interacts with others, demonstrating a sense of curiosity and disbelief regarding certain situations and comments.""Joe is a marine-store dealer and receiver of stolen goods, indicative of the darker, more unscrupulous elements of society.""Joe is an old character who engages in conversation about the deceased man\'s belongings, revealing his pragmatic and somewhat cynical perspective on life and death.""Joe is a character who interacts with others, demonstrating a sense of curiosity and disbelief regarding certain situations and comments.""Joe is a marine-store dealer and receiver of stolen goods, indicative of the darker, more unscrupulous elements of society.""Joe is an old character who engages in conversation about the deceased man\'s belongings, revealing his pragmatic and somewhat cynical perspective on life and death.""Joe is a character who interacts with others, demonstrating a sense of curiosity and disbelief regarding certain situations and comments.""Joe is a marine-store dealer and receiver of stolen goods, indicative of the darker, more unscrupulous elements of society.""Joe is an old character who engages in conversation about the deceased man\'s belongings, revealing his pragmatic and somewhat cynical perspective on life and death."', 'source_id': 'chunk-89777b838d5447c7bd1ec11282c4ee89chunk-e1f29eeadc1d8ab46dc8a0bbd3c56b64chunk-9e3921da66da5d761ab73cd849af6c43'}> -2024-10-30 06:04:00,688 - lightrag - INFO - _do_upsert:query: - MERGE (n:`JOE`) - SET n += $properties - RETURN n - :result:{'entity_type': '"PERSON"', 'description': '"Joe is a character engaged in a conversation, displaying curiosity and a sense of humor regarding a situation related to \'bed-curtains\'.""Joe is a marine-store dealer depicted as receiving stolen goods, illustrating the consequences of crime and the darker sides of society.""Joe is portrayed as a character engaged in a conversation about the deceased, displaying a mix of humor and practicality in dealing with the possessions of the dead.""Joe is a character who interacts with others, demonstrating a sense of curiosity and disbelief regarding certain situations and comments.""Joe is a marine-store dealer and receiver of stolen goods, indicative of the darker, more unscrupulous elements of society.""Joe is an old character who engages in conversation about the deceased man\'s belongings, revealing his pragmatic and somewhat cynical perspective on life and death.""Joe is a character who interacts with others, demonstrating a sense of curiosity and disbelief regarding certain situations and comments.""Joe is a marine-store dealer and receiver of stolen goods, indicative of the darker, more unscrupulous elements of society.""Joe is an old character who engages in conversation about the deceased man\'s belongings, revealing his pragmatic and somewhat cynical perspective on life and death.""Joe is a character who interacts with others, demonstrating a sense of curiosity and disbelief regarding certain situations and comments.""Joe is a marine-store dealer and receiver of stolen goods, indicative of the darker, more unscrupulous elements of society.""Joe is an old character who engages in conversation about the deceased man\'s belongings, revealing his pragmatic and somewhat cynical perspective on life and death.""Joe is a character who interacts with others, demonstrating a sense of curiosity and disbelief regarding certain situations and comments.""Joe is a marine-store dealer and receiver of stolen goods, indicative of the darker, more unscrupulous elements of society.""Joe is an old character who engages in conversation about the deceased man\'s belongings, revealing his pragmatic and somewhat cynical perspective on life and death."', 'source_id': 'chunk-89777b838d5447c7bd1ec11282c4ee89chunk-e1f29eeadc1d8ab46dc8a0bbd3c56b64chunk-9e3921da66da5d761ab73cd849af6c43'} -2024-10-30 06:04:00,820 - lightrag - INFO - get_node:query:MATCH (n:`GHOST OF JACOB MARLEY`) RETURN n:result:"The Ghost of Jacob Marley is the specter of Scrooge\'s former business partner, who warns Scrooge to change his ways.""The Ghost of Jacob Marley is the specter of Scrooge\'s former business partner, who warns Scrooge to change his ways.""The Ghost of Jacob Marley is the specter of Scrooge\'s former business partner, who warns Scrooge to change his ways."', 'source_id': 'chunk-9e3921da66da5d761ab73cd849af6c43'}> -2024-10-30 06:04:00,955 - lightrag - INFO - _do_upsert:query: - MERGE (n:`GHOST OF JACOB MARLEY`) - SET n += $properties - RETURN n - :result:{'entity_type': '"EVENT"', 'description': '"The Ghost of Jacob Marley is Scrooge\'s deceased business partner who returns as a spirit to warn Scrooge about the consequences of his life choices and to encourage change.""The Ghost of Jacob Marley is the specter of Scrooge\'s former business partner, who warns Scrooge to change his ways.""The Ghost of Jacob Marley is the specter of Scrooge\'s former business partner, who warns Scrooge to change his ways.""The Ghost of Jacob Marley is the specter of Scrooge\'s former business partner, who warns Scrooge to change his ways.""The Ghost of Jacob Marley is the specter of Scrooge\'s former business partner, who warns Scrooge to change his ways."', 'source_id': 'chunk-9e3921da66da5d761ab73cd849af6c43'} -2024-10-30 06:04:01,087 - lightrag - INFO - get_node:query:MATCH (n:`FAN`) RETURN n:result:"Fan is Ebenezer Scrooge\'s sister, who represents love and kindness from Scrooge\'s past, influencing his character development.""Fan is Ebenezer Scrooge\'s sister, who represents love and kindness from Scrooge\'s past, influencing his character development.""Fan is Scrooge\'s caring sister who represents innocence and love, showcasing a more tender side of Scrooge’s past.""Fan is Scrooge\'s younger sister, who brings joy and the promise of a happier home, reflecting on their childhood relationship.""Fan is Scrooge\'s younger sister, who brings joy and the promise of a happier home, reflecting on their childhood relationship.""Fan is Scrooge\'s younger sister, who brings joy and the promise of a happier home, reflecting on their childhood relationship."', 'source_id': 'chunk-c6c248858d1b13ab7ee9ca13c1aeed6bchunk-9e3921da66da5d761ab73cd849af6c43'}> -2024-10-30 06:04:01,222 - lightrag - INFO - _do_upsert:query: - MERGE (n:`FAN`) - SET n += $properties - RETURN n - :result:{'entity_type': '"PERSON"', 'description': '"Fan is Ebenezer Scrooge\'s sister, who represents love and kindness from Scrooge\'s past, influencing his character development.""Fan is Ebenezer Scrooge\'s sister, who represents love and kindness from Scrooge\'s past, influencing his character development.""Fan is Ebenezer Scrooge\'s sister, who represents love and kindness from Scrooge\'s past, influencing his character development.""Fan is Ebenezer Scrooge\'s sister, who represents love and kindness from Scrooge\'s past, influencing his character development.""Fan is Scrooge\'s caring sister who represents innocence and love, showcasing a more tender side of Scrooge’s past.""Fan is Scrooge\'s younger sister, who brings joy and the promise of a happier home, reflecting on their childhood relationship.""Fan is Scrooge\'s younger sister, who brings joy and the promise of a happier home, reflecting on their childhood relationship.""Fan is Scrooge\'s younger sister, who brings joy and the promise of a happier home, reflecting on their childhood relationship.""Fan is Scrooge\'s younger sister, who brings joy and the promise of a happier home, reflecting on their childhood relationship."', 'source_id': 'chunk-9e3921da66da5d761ab73cd849af6c43chunk-c6c248858d1b13ab7ee9ca13c1aeed6b'} -2024-10-30 06:04:01,353 - lightrag - INFO - get_node:query:MATCH (n:`MRS. FEZZIWIG`) RETURN n:result:"Mrs. Fezziwig is the kind partner of Mr. Fezziwig, contributing to the festive atmosphere of their celebrations, emphasizing the importance of joyous gatherings.""Mrs. Fezziwig is the wife of Fezziwig, joining him in celebrations and dances, embodying warmth and partnership.""Mrs. Fezziwig is the wife of Fezziwig, participating in the dance, representing companionship and festive cheer.""Mrs. Fezziwig is noted for her smile and participation in the festivities, particularly in dancing with Fezziwig.""Mrs. Fezziwig is the partner of Mr. Fezziwig, known for her warmth and joyous nature during Christmas celebrations.""Mrs. Fezziwig partners with Fezziwig in hosting the domestic ball, contributing to the warmth and cheer of the event.""Mrs. Fezziwig is noted for her smile and participation in the festivities, particularly in dancing with Fezziwig.""Mrs. Fezziwig is the partner of Mr. Fezziwig, known for her warmth and joyous nature during Christmas celebrations.""Mrs. Fezziwig partners with Fezziwig in hosting the domestic ball, contributing to the warmth and cheer of the event.""Mrs. Fezziwig is noted for her smile and participation in the festivities, particularly in dancing with Fezziwig.""Mrs. Fezziwig is the partner of Mr. Fezziwig, known for her warmth and joyous nature during Christmas celebrations.""Mrs. Fezziwig partners with Fezziwig in hosting the domestic ball, contributing to the warmth and cheer of the event."', 'source_id': 'chunk-89777b838d5447c7bd1ec11282c4ee89chunk-8bc1edd983869352d14cf0886a9175a7chunk-b2f98bc7abb0c67d4c86055c7fd72218chunk-9e3921da66da5d761ab73cd849af6c43'}> -2024-10-30 06:04:01,489 - lightrag - INFO - _do_upsert:query: - MERGE (n:`MRS. FEZZIWIG`) - SET n += $properties - RETURN n - :result:{'entity_type': '"PERSON"', 'description': '"Mrs. Fezziwig is Fezziwig\'s partner at the domestic ball, contributing to the festive atmosphere alongside her husband.""Mrs. Fezziwig is the kind partner of Mr. Fezziwig, contributing to the festive atmosphere of their celebrations, emphasizing the importance of joyous gatherings.""Mrs. Fezziwig is the wife of Fezziwig, joining him in celebrations and dances, embodying warmth and partnership.""Mrs. Fezziwig is the wife of Fezziwig, participating in the dance, representing companionship and festive cheer.""Mrs. Fezziwig is noted for her smile and participation in the festivities, particularly in dancing with Fezziwig.""Mrs. Fezziwig is the partner of Mr. Fezziwig, known for her warmth and joyous nature during Christmas celebrations.""Mrs. Fezziwig partners with Fezziwig in hosting the domestic ball, contributing to the warmth and cheer of the event.""Mrs. Fezziwig is noted for her smile and participation in the festivities, particularly in dancing with Fezziwig.""Mrs. Fezziwig is the partner of Mr. Fezziwig, known for her warmth and joyous nature during Christmas celebrations.""Mrs. Fezziwig partners with Fezziwig in hosting the domestic ball, contributing to the warmth and cheer of the event.""Mrs. Fezziwig is noted for her smile and participation in the festivities, particularly in dancing with Fezziwig.""Mrs. Fezziwig is the partner of Mr. Fezziwig, known for her warmth and joyous nature during Christmas celebrations.""Mrs. Fezziwig partners with Fezziwig in hosting the domestic ball, contributing to the warmth and cheer of the event.""Mrs. Fezziwig is noted for her smile and participation in the festivities, particularly in dancing with Fezziwig.""Mrs. Fezziwig is the partner of Mr. Fezziwig, known for her warmth and joyous nature during Christmas celebrations.""Mrs. Fezziwig partners with Fezziwig in hosting the domestic ball, contributing to the warmth and cheer of the event."', 'source_id': 'chunk-b2f98bc7abb0c67d4c86055c7fd72218chunk-89777b838d5447c7bd1ec11282c4ee89chunk-9e3921da66da5d761ab73cd849af6c43chunk-8bc1edd983869352d14cf0886a9175a7'} -2024-10-30 06:04:01,620 - lightrag - INFO - get_node:query:MATCH (n:`FEZZIWIG`) RETURN n:result:chunk-8bc1edd983869352d14cf0886a9175a7chunk-b2f98bc7abb0c67d4c86055c7fd72218chunk-c6c248858d1b13ab7ee9ca13c1aeed6b'}> -2024-10-30 06:04:01,754 - lightrag - INFO - _do_upsert:query: - MERGE (n:`FEZZIWIG`) - SET n += $properties - RETURN n - :result:{'entity_type': '"PERSON"', 'description': '"Fezziwig is a character known for hosting a domestic ball that brings joy and merriment to the participants, showcasing his ability to create happiness.""Fezziwig is a joyful and lively character who dances with Mrs. Fezziwig, embodying the festive spirit of Christmas.""Fezziwig is presented as Scrooge\'s former employer, known for his jovial nature and generous spirit, who plays a significant role in Scrooge\'s memories.""Fezziwig is the owner of a business where festive celebrations take place, known for his jovial character and ability to create a lively atmosphere."Fezziwig is a character renowned for his role as a joyful and jovial employer who hosts domestic balls, creating an atmosphere filled with happiness and merriment for his participants. He is depicted as a kind-hearted figure who organizes lively Christmas festivities for his employees, exemplifying kindness and generosity. Fezziwig plays a significant role in the memories of Ebenezer Scrooge, being portrayed as his former employer who embodies the true spirit of Christmas.\n\nHe is often seen dancing with his wife, Mrs. Fezziwig, which further illustrates his cheerful nature and the festive spirit surrounding the celebrations. As the owner of a business where these vibrant festivities take place, Fezziwig is celebrated for his ability to create a lively and joyful environment, leaving a lasting impression on those who encounter him during the festive seasons. His portrayal encapsulates the essence of joy, generosity, and the festive spirit, making him a beloved character in the narrative of Scrooge\'s past.', 'source_id': 'chunk-89777b838d5447c7bd1ec11282c4ee89chunk-b2f98bc7abb0c67d4c86055c7fd72218chunk-8bc1edd983869352d14cf0886a9175a7chunk-c6c248858d1b13ab7ee9ca13c1aeed6b'} -2024-10-30 06:04:01,886 - lightrag - INFO - get_node:query:MATCH (n:`SCROOGE`) RETURN n:result:chunk-83ac129dc9b56f84c46760d153d68e93chunk-b0f459f5af1c3a5e0b92cbe4ee48b77bchunk-359187e7571bda4b0b08b2e0b6581e52chunk-89777b838d5447c7bd1ec11282c4ee89chunk-8590d9263cd2cd4fa583c432fc54e6c3chunk-02baee20cc9463dbe08170a8e1043e32chunk-74e2466de2f67fd710ef2f20c0a8d9e0chunk-5dac41b3f9eeaf794f0147400b1718cdchunk-91572b3cd42786ba4cb2f180ca25cbf4chunk-bb21d58d36c6306fd8810ddd51c4a971chunk-43c9bee23adfa77aa9dedd22401bba7dchunk-da2472b4ef2a535b62908f14d0fb0ca9chunk-f1a4fbcf1ed86864b9bfd5e8dba4c683chunk-1aa50206d02ed89418f65f97c6441d1cchunk-cb661c37436355ccec2769b1d0350c5fchunk-54bdd22db1f84a965b5f4c06c9216d8dchunk-19d72c57ae3408758b18d2568e86dc6bchunk-b2f98bc7abb0c67d4c86055c7fd72218chunk-e7637ff18c5ded77a68cce0a87883fadchunk-e1f29eeadc1d8ab46dc8a0bbd3c56b64chunk-90d5764e301321c087f5a8f78b73a145chunk-9c43dac2fcd5b578242d907ea6f8fc7bchunk-90b95db5c53e4364a6bee36b7aa4d70fchunk-99b0ec7f7e006561352b5d65e849611dchunk-773d0df1dd25c356f7b771d780583e09chunk-d9aac3484185ac66045df92214d245d5chunk-8f738cb25d60a7dab782162d9d0a25edchunk-94bea83e7153fc2064aa382b494936a1chunk-c7b10789a9cb0af6c553730b29bd9034chunk-c6c248858d1b13ab7ee9ca13c1aeed6bchunk-503f0bfa5453467c7c61d160a3540ecachunk-843b5b2f944c7413d9ca876e2e2f151f'}> -2024-10-30 06:04:01,890 - lightrag - DEBUG - Trigger summary: "SCROOGE" -2024-10-30 06:04:01,990 - lightrag - INFO - get_node:query:MATCH (n:`MARLEY`) RETURN n:result:chunk-d9aac3484185ac66045df92214d245d5chunk-5dac41b3f9eeaf794f0147400b1718cdchunk-9c43dac2fcd5b578242d907ea6f8fc7bchunk-843b5b2f944c7413d9ca876e2e2f151f'}> -2024-10-30 06:04:02,128 - lightrag - INFO - _do_upsert:query: - MERGE (n:`MARLEY`) - SET n += $properties - RETURN n - :result:{'entity_type': '"PERSON"', 'description': '"Marley is Scrooge\'s deceased business partner whose presence looms over the story, symbolizing the consequences of a life similar to Scrooge\'s.""Marley is Scrooge\'s deceased business partner, whose death is a significant event that sets the tone for the story.""Marley is Scrooge\'s deceased business partner, whose death is mentioned as impactful, having passed seven years prior to the events in the text.""Marley is depicted as a ghost, having a pigtail, waistcoat, tights, and boots, and is central to Scrooge\'s haunting experience."Marley is Scrooge\'s deceased business partner, whose presence looms over the narrative of the story, symbolizing the dire consequences of a life lived without compassion and care for others. His death serves as a significant event that sets the tone for the plot and reflects the overarching themes of regret and the supernatural.\n\nMarley passed away seven years prior to the events depicted, making his spectral appearance even more impactful. Despite being a character who is only mentioned throughout much of the story, his influence on Scrooge is profound, as reflections and memories of Marley shape Scrooge\'s perspective on life and relationships. This ghostly figure is depicted distinctly with a pigtail, waistcoat, tights, and boots, making him central to Scrooge\'s haunting experience.\n\nOverall, Marley represents the weight of past actions and the importance of empathy, acting as a harbinger of transformation for Scrooge. His ghostly manifestation evokes both fear and introspection, ultimately contributing to the moral lessons embedded in the tale.', 'source_id': 'chunk-9c43dac2fcd5b578242d907ea6f8fc7bchunk-843b5b2f944c7413d9ca876e2e2f151fchunk-5dac41b3f9eeaf794f0147400b1718cdchunk-d9aac3484185ac66045df92214d245d5chunk-89777b838d5447c7bd1ec11282c4ee89'} -2024-10-30 06:04:02,264 - lightrag - INFO - get_node:query:MATCH (n:`CHRISTMAS`) RETURN n:result:chunk-89777b838d5447c7bd1ec11282c4ee89chunk-8590d9263cd2cd4fa583c432fc54e6c3chunk-02baee20cc9463dbe08170a8e1043e32chunk-74e2466de2f67fd710ef2f20c0a8d9e0chunk-5dac41b3f9eeaf794f0147400b1718cdchunk-91572b3cd42786ba4cb2f180ca25cbf4chunk-43c9bee23adfa77aa9dedd22401bba7dchunk-da2472b4ef2a535b62908f14d0fb0ca9chunk-1d4b58de5429cd1261370c231c8673e8chunk-54bdd22db1f84a965b5f4c06c9216d8dchunk-e7637ff18c5ded77a68cce0a87883fadchunk-90d5764e301321c087f5a8f78b73a145chunk-99b0ec7f7e006561352b5d65e849611dchunk-773d0df1dd25c356f7b771d780583e09chunk-8f738cb25d60a7dab782162d9d0a25edchunk-94bea83e7153fc2064aa382b494936a1chunk-c6c248858d1b13ab7ee9ca13c1aeed6bchunk-503f0bfa5453467c7c61d160a3540eca'}> -2024-10-30 06:04:02,267 - lightrag - DEBUG - Trigger summary: "CHRISTMAS" -2024-10-30 06:04:02,367 - lightrag - INFO - get_node:query:MATCH (n:`THE WAREHOUSE`) RETURN n:result:"The Warehouse is the setting for Fezziwig\'s celebrations, transformed into a ballroom for the festivities.""The Warehouse is the place of business shared by Scrooge and Marley, a symbol of their partnership in life and business.""The Warehouse serves as the setting for Scrooge\'s memories of Fezziwig\'s jovial nature and the lively gatherings during his apprenticeship.""The Warehouse is the place of business shared by Scrooge and Marley, a symbol of their partnership in life and business.""The Warehouse serves as the setting for Scrooge\'s memories of Fezziwig\'s jovial nature and the lively gatherings during his apprenticeship.""The Warehouse is the place of business shared by Scrooge and Marley, a symbol of their partnership in life and business.""The Warehouse serves as the setting for Scrooge\'s memories of Fezziwig\'s jovial nature and the lively gatherings during his apprenticeship."', 'source_id': 'chunk-89777b838d5447c7bd1ec11282c4ee89chunk-8bc1edd983869352d14cf0886a9175a7chunk-c6c248858d1b13ab7ee9ca13c1aeed6b'}> -2024-10-30 06:04:02,503 - lightrag - INFO - _do_upsert:query: - MERGE (n:`THE WAREHOUSE`) - SET n += $properties - RETURN n - :result:{'entity_type': '"ORGANIZATION"', 'description': '"The Warehouse is a specific location where Scrooge had previously apprenticed and holds significant memories for him.""The Warehouse is the setting for Fezziwig\'s celebrations, transformed into a ballroom for the festivities.""The Warehouse is the place of business shared by Scrooge and Marley, a symbol of their partnership in life and business.""The Warehouse serves as the setting for Scrooge\'s memories of Fezziwig\'s jovial nature and the lively gatherings during his apprenticeship.""The Warehouse is the place of business shared by Scrooge and Marley, a symbol of their partnership in life and business.""The Warehouse serves as the setting for Scrooge\'s memories of Fezziwig\'s jovial nature and the lively gatherings during his apprenticeship.""The Warehouse is the place of business shared by Scrooge and Marley, a symbol of their partnership in life and business.""The Warehouse serves as the setting for Scrooge\'s memories of Fezziwig\'s jovial nature and the lively gatherings during his apprenticeship.""The Warehouse is the place of business shared by Scrooge and Marley, a symbol of their partnership in life and business.""The Warehouse serves as the setting for Scrooge\'s memories of Fezziwig\'s jovial nature and the lively gatherings during his apprenticeship."', 'source_id': 'chunk-89777b838d5447c7bd1ec11282c4ee89chunk-8bc1edd983869352d14cf0886a9175a7chunk-c6c248858d1b13ab7ee9ca13c1aeed6b'} -2024-10-30 06:04:02,637 - lightrag - INFO - get_node:query:MATCH (n:`THE WOMAN`) RETURN n:result:"The Woman is a character involved in the dialogue about the deceased\'s belongings, showing a carefree attitude towards their former owner.""The Woman is a character who enters the shop with a heavy bundle and demonstrates a bold and defiant demeanor, eager to take part in the conversation about the deceased\'s belongings.""The Woman engages in conversation with Joe, providing light-hearted responses and laughing at the absurdity of their discussions.""The Woman is an unknown character, bold and defiant, who instigates the gathering and discusses the deceased with a lack of reverence.""The Woman is another character who interacts with Joe, demonstrating a lack of reverence for the deceased and a focus on material gain.""The Woman engages in conversation with Joe, providing light-hearted responses and laughing at the absurdity of their discussions.""The Woman is an unknown character, bold and defiant, who instigates the gathering and discusses the deceased with a lack of reverence.""The Woman is another character who interacts with Joe, demonstrating a lack of reverence for the deceased and a focus on material gain.""The Woman engages in conversation with Joe, providing light-hearted responses and laughing at the absurdity of their discussions.""The Woman is an unknown character, bold and defiant, who instigates the gathering and discusses the deceased with a lack of reverence.""The Woman is another character who interacts with Joe, demonstrating a lack of reverence for the deceased and a focus on material gain."', 'source_id': 'chunk-89777b838d5447c7bd1ec11282c4ee89chunk-60fc063c79fc0d4acc91a57e79de04dcchunk-e1f29eeadc1d8ab46dc8a0bbd3c56b64'}> -2024-10-30 06:04:02,771 - lightrag - INFO - _do_upsert:query: - MERGE (n:`THE WOMAN`) - SET n += $properties - RETURN n - :result:{'entity_type': '"PERSON"', 'description': '"The Woman engages in a humorous exchange with Joe about taking down bed-curtains, showcasing lively communication among characters.""The Woman is a character involved in the dialogue about the deceased\'s belongings, showing a carefree attitude towards their former owner.""The Woman is a character who enters the shop with a heavy bundle and demonstrates a bold and defiant demeanor, eager to take part in the conversation about the deceased\'s belongings.""The Woman engages in conversation with Joe, providing light-hearted responses and laughing at the absurdity of their discussions.""The Woman is an unknown character, bold and defiant, who instigates the gathering and discusses the deceased with a lack of reverence.""The Woman is another character who interacts with Joe, demonstrating a lack of reverence for the deceased and a focus on material gain.""The Woman engages in conversation with Joe, providing light-hearted responses and laughing at the absurdity of their discussions.""The Woman is an unknown character, bold and defiant, who instigates the gathering and discusses the deceased with a lack of reverence.""The Woman is another character who interacts with Joe, demonstrating a lack of reverence for the deceased and a focus on material gain.""The Woman engages in conversation with Joe, providing light-hearted responses and laughing at the absurdity of their discussions.""The Woman is an unknown character, bold and defiant, who instigates the gathering and discusses the deceased with a lack of reverence.""The Woman is another character who interacts with Joe, demonstrating a lack of reverence for the deceased and a focus on material gain.""The Woman engages in conversation with Joe, providing light-hearted responses and laughing at the absurdity of their discussions.""The Woman is an unknown character, bold and defiant, who instigates the gathering and discusses the deceased with a lack of reverence.""The Woman is another character who interacts with Joe, demonstrating a lack of reverence for the deceased and a focus on material gain."', 'source_id': 'chunk-89777b838d5447c7bd1ec11282c4ee89chunk-e1f29eeadc1d8ab46dc8a0bbd3c56b64chunk-60fc063c79fc0d4acc91a57e79de04dc'} -2024-10-30 06:04:02,907 - lightrag - INFO - get_node:query:MATCH (n:`TIM`) RETURN n:result: -2024-10-30 06:04:03,044 - lightrag - INFO - _do_upsert:query: - MERGE (n:`TIM`) - SET n += $properties - RETURN n - :result:{'entity_type': '"PERSON"', 'description': '"Tim is mentioned as someone important to Scrooge, indicating familial ties and possibly evoking sympathy and regret from Scrooge\'s character."', 'source_id': 'chunk-89777b838d5447c7bd1ec11282c4ee89'} -2024-10-30 06:04:03,176 - lightrag - INFO - get_node:query:MATCH (n:`THE LACE TUCKER`) RETURN n:result:"The Lace Tucker is a fashionable accessory worn by one of Scrooge\'s Niece\'s sisters, representing the social settings and themes of appearance in the gathering.""The Lace Tucker is a fashionable accessory worn by one of Scrooge\'s Niece\'s sisters, representing the social settings and themes of appearance in the gathering.""The Lace Tucker is a small event within the text, illustrating moments of humor and social interactions among characters.""The Lace Tucker is a small event within the text, illustrating moments of humor and social interactions among characters.""The Lace Tucker is a small event within the text, illustrating moments of humor and social interactions among characters."', 'source_id': 'chunk-89777b838d5447c7bd1ec11282c4ee89chunk-773d0df1dd25c356f7b771d780583e09'}> -2024-10-30 06:04:03,313 - lightrag - INFO - _do_upsert:query: - MERGE (n:`THE LACE TUCKER`) - SET n += $properties - RETURN n - :result:{'entity_type': '"EVENT"', 'description': '"The Lace Tucker is a fashionable accessory worn by one of Scrooge\'s Niece\'s sisters, representing the social settings and themes of appearance in the gathering.""The Lace Tucker is a fashionable accessory worn by one of Scrooge\'s Niece\'s sisters, representing the social settings and themes of appearance in the gathering.""The Lace Tucker is a fashionable accessory worn by one of Scrooge\'s Niece\'s sisters, representing the social settings and themes of appearance in the gathering.""The Lace Tucker is a fashionable accessory worn by one of Scrooge\'s Niece\'s sisters, representing the social settings and themes of appearance in the gathering.""The Lace Tucker is a small event within the text, illustrating moments of humor and social interactions among characters.""The Lace Tucker is a small event within the text, illustrating moments of humor and social interactions among characters.""The Lace Tucker is a small event within the text, illustrating moments of humor and social interactions among characters.""The Lace Tucker is a small event within the text, illustrating moments of humor and social interactions among characters."', 'source_id': 'chunk-89777b838d5447c7bd1ec11282c4ee89chunk-773d0df1dd25c356f7b771d780583e09'} -2024-10-30 06:04:03,444 - lightrag - INFO - get_node:query:MATCH (n:`OLD SCROOGE`) RETURN n:result: -2024-10-30 06:04:03,580 - lightrag - INFO - _do_upsert:query: - MERGE (n:`OLD SCROOGE`) - SET n += $properties - RETURN n - :result:{'entity_type': '"PERSON"', 'description': '"Old Scrooge represents an earlier version of Scrooge, depicted in memories or recollections and emphasizing his character\'s history."', 'source_id': 'chunk-89777b838d5447c7bd1ec11282c4ee89'} -2024-10-30 06:04:03,710 - lightrag - INFO - get_node:query:MATCH (n:`THE FUNERAL`) RETURN n:result:"The Funeral is a context for conversation among characters, reflecting on mortality and social connections surrounding death.""The Funeral is a context for conversation among characters, reflecting on mortality and social connections surrounding death.""The Funeral of Marley is a significant event that highlights Scrooge\'s relationship with Marley and sets the tone for their partnership and Scrooge\'s eventual path.""The Funeral serves as a significant event reflecting on Marley\'s death, noted for its business-like atmosphere as perceived by Scrooge.""The Funeral of Marley is a significant event that highlights Scrooge\'s relationship with Marley and sets the tone for their partnership and Scrooge\'s eventual path.""The Funeral of Marley is a significant event that highlights Scrooge\'s relationship with Marley and sets the tone for their partnership and Scrooge\'s eventual path."', 'source_id': 'chunk-89777b838d5447c7bd1ec11282c4ee89chunk-f1a4fbcf1ed86864b9bfd5e8dba4c683'}> -2024-10-30 06:04:03,844 - lightrag - INFO - _do_upsert:query: - MERGE (n:`THE FUNERAL`) - SET n += $properties - RETURN n - :result:{'entity_type': '"EVENT"', 'description': '"The Funeral is a context for conversation among characters, reflecting on mortality and social connections surrounding death.""The Funeral is a context for conversation among characters, reflecting on mortality and social connections surrounding death.""The Funeral is a context for conversation among characters, reflecting on mortality and social connections surrounding death.""The Funeral is a context for conversation among characters, reflecting on mortality and social connections surrounding death.""The Funeral of Marley is a significant event that highlights Scrooge\'s relationship with Marley and sets the tone for their partnership and Scrooge\'s eventual path.""The Funeral serves as a significant event reflecting on Marley\'s death, noted for its business-like atmosphere as perceived by Scrooge.""The Funeral of Marley is a significant event that highlights Scrooge\'s relationship with Marley and sets the tone for their partnership and Scrooge\'s eventual path.""The Funeral of Marley is a significant event that highlights Scrooge\'s relationship with Marley and sets the tone for their partnership and Scrooge\'s eventual path.""The Funeral of Marley is a significant event that highlights Scrooge\'s relationship with Marley and sets the tone for their partnership and Scrooge\'s eventual path."', 'source_id': 'chunk-f1a4fbcf1ed86864b9bfd5e8dba4c683chunk-89777b838d5447c7bd1ec11282c4ee89'} -2024-10-30 06:04:03,974 - lightrag - INFO - get_node:query:MATCH (n:`SCROOGE'S NEPHEW`) RETURN n:result:"Scrooge\'s Nephew is a cheerful and optimistic character who challenges Scrooge\'s gloomy outlook on Christmas and life.""Scrooge\'s Nephew is a cheerful and optimistic character who challenges Scrooge\'s gloomy outlook on Christmas and life.""Scrooge\'s Nephew is a cheerful and optimistic character who represents the spirit of Christmas, opposing Scrooge\'s views.""Scrooge\'s Nephew is characterized by his contagious laughter and good humor, contrasting with his uncle\'s miserliness.""Scrooge\'s Nephew is portrayed as optimistic about Christmas, emphasizing its positive qualities despite Scrooge\'s negativity.""Scrooge\'s nephew is a character present at the gathering who actively participates in the games and engages with his family.""Scrooge\'s Nephew is a jovial character known for his infectious laughter and optimistic attitude towards Christmas, finding humor in Scrooge\'s ill temper and wealth.""Scrooge\'s Nephew is portrayed as warm-hearted and attempts to engage his uncle in the spirit of Christmas, despite Scrooge\'s rebuff.""Scrooge\'s nephew is portrayed as a joyful character who embodies laughter and good-humor, contrasting with Scrooge\'s initial persona.""Scrooge\'s Nephew is a jovial character known for his infectious laughter and optimistic attitude towards Christmas, finding humor in Scrooge\'s ill temper and wealth.""Scrooge\'s Nephew is portrayed as warm-hearted and attempts to engage his uncle in the spirit of Christmas, despite Scrooge\'s rebuff.""Scrooge\'s nephew is portrayed as a joyful character who embodies laughter and good-humor, contrasting with Scrooge\'s initial persona.""Scrooge\'s Nephew is a jovial character known for his infectious laughter and optimistic attitude towards Christmas, finding humor in Scrooge\'s ill temper and wealth.""Scrooge\'s Nephew is portrayed as warm-hearted and attempts to engage his uncle in the spirit of Christmas, despite Scrooge\'s rebuff.""Scrooge\'s nephew is portrayed as a joyful character who embodies laughter and good-humor, contrasting with Scrooge\'s initial persona."', 'source_id': 'chunk-91614df5cb74cbe5e109a338a82041e9chunk-74e2466de2f67fd710ef2f20c0a8d9e0chunk-5dac41b3f9eeaf794f0147400b1718cdchunk-43c9bee23adfa77aa9dedd22401bba7dchunk-773d0df1dd25c356f7b771d780583e09'}> -2024-10-30 06:04:03,976 - lightrag - DEBUG - Trigger summary: "SCROOGE'S NEPHEW" -2024-10-30 06:04:04,076 - lightrag - INFO - get_node:query:MATCH (n:`COUNTING-HOUSE`) RETURN n:result:"Scrooge\'s counting-house is the place of his work, characterized by coldness and a lack of warmth or holiday spirit.""Scrooge\'s counting-house is the place of his work, characterized by coldness and a lack of warmth or holiday spirit.""The Counting-House is a physical space representing the business environment where Scrooge and Marley engaged in trade but also symbolizes their limited worldview.""The Counting-house is the place where Scrooge conducted his business and represents the limitations of his previous life.""The Counting-house is the place where Scrooge conducted his business and represents the limitations of his previous life.""The Counting-house is the place where Scrooge conducted his business and represents the limitations of his previous life."', 'source_id': 'chunk-74e2466de2f67fd710ef2f20c0a8d9e0chunk-359187e7571bda4b0b08b2e0b6581e52'}> -2024-10-30 06:04:04,211 - lightrag - INFO - _do_upsert:query: - MERGE (n:`COUNTING-HOUSE`) - SET n += $properties - RETURN n - :result:{'entity_type': '"LOCATION"', 'description': '"Scrooge\'s counting-house is the place of his work, characterized by coldness and a lack of warmth or holiday spirit.""Scrooge\'s counting-house is the place of his work, characterized by coldness and a lack of warmth or holiday spirit.""Scrooge\'s counting-house is the place of his work, characterized by coldness and a lack of warmth or holiday spirit.""Scrooge\'s counting-house is the place of his work, characterized by coldness and a lack of warmth or holiday spirit.""The Counting-House is a physical space representing the business environment where Scrooge and Marley engaged in trade but also symbolizes their limited worldview.""The Counting-house is the place where Scrooge conducted his business and represents the limitations of his previous life.""The Counting-house is the place where Scrooge conducted his business and represents the limitations of his previous life.""The Counting-house is the place where Scrooge conducted his business and represents the limitations of his previous life.""The Counting-house is the place where Scrooge conducted his business and represents the limitations of his previous life."', 'source_id': 'chunk-74e2466de2f67fd710ef2f20c0a8d9e0chunk-359187e7571bda4b0b08b2e0b6581e52'} -2024-10-30 06:04:04,343 - lightrag - INFO - get_node:query:MATCH (n:`BEGGARS`) RETURN n:result: -2024-10-30 06:04:04,476 - lightrag - INFO - _do_upsert:query: - MERGE (n:`BEGGARS`) - SET n += $properties - RETURN n - :result:{'entity_type': '"PERSON"', 'description': '"Beggars are individuals who implore Scrooge for charity, symbolizing the lack of compassion and generosity in his character."', 'source_id': 'chunk-74e2466de2f67fd710ef2f20c0a8d9e0'} -2024-10-30 06:04:04,603 - lightrag - INFO - get_node:query:MATCH (n:`CHILDREN`) RETURN n:result:"Children represent innocence and joy, often seen as seeking affection and connection with adults like Scrooge.""Children represent innocence and joy, often seen as seeking affection and connection with adults like Scrooge.""The Children represent innocence and purity, highlighted as victims of societal neglect and calling for compassion from Scrooge.""The Children represent the joyful, carefree aspects of Scrooge\'s past, embodying happiness and the innocence of youth that he has long forgotten.""The Children represent innocence and the impact of societal neglect, embodied by Ignorance and Want as personified by the Spirit.""The Children represent innocence and the impact of societal neglect, embodied by Ignorance and Want as personified by the Spirit.""The Children represent innocence and the impact of societal neglect, embodied by Ignorance and Want as personified by the Spirit."', 'source_id': 'chunk-bb21d58d36c6306fd8810ddd51c4a971chunk-e7637ff18c5ded77a68cce0a87883fadchunk-74e2466de2f67fd710ef2f20c0a8d9e0'}> -2024-10-30 06:04:04,735 - lightrag - INFO - _do_upsert:query: - MERGE (n:`CHILDREN`) - SET n += $properties - RETURN n - :result:{'entity_type': '"PERSON"', 'description': '"Children represent innocence and joy, often seen as seeking affection and connection with adults like Scrooge.""Children represent innocence and joy, often seen as seeking affection and connection with adults like Scrooge.""Children represent innocence and joy, often seen as seeking affection and connection with adults like Scrooge.""Children represent innocence and joy, often seen as seeking affection and connection with adults like Scrooge.""The Children represent innocence and purity, highlighted as victims of societal neglect and calling for compassion from Scrooge.""The Children represent the joyful, carefree aspects of Scrooge\'s past, embodying happiness and the innocence of youth that he has long forgotten.""The Children represent innocence and the impact of societal neglect, embodied by Ignorance and Want as personified by the Spirit.""The Children represent innocence and the impact of societal neglect, embodied by Ignorance and Want as personified by the Spirit.""The Children represent innocence and the impact of societal neglect, embodied by Ignorance and Want as personified by the Spirit.""The Children represent innocence and the impact of societal neglect, embodied by Ignorance and Want as personified by the Spirit."', 'source_id': 'chunk-bb21d58d36c6306fd8810ddd51c4a971chunk-74e2466de2f67fd710ef2f20c0a8d9e0chunk-e7637ff18c5ded77a68cce0a87883fad'} -2024-10-30 06:04:04,867 - lightrag - INFO - get_node:query:MATCH (n:`COLD WEATHER`) RETURN n:result:"Cold Weather sets the bleak and unforgiving atmosphere, reflecting Scrooge’s own personality and state of mind.""Cold Weather sets the bleak and unforgiving atmosphere, reflecting Scrooge’s own personality and state of mind.""Cold Weather sets the bleak and unforgiving atmosphere, reflecting Scrooge’s own personality and state of mind."', 'source_id': 'chunk-f1a4fbcf1ed86864b9bfd5e8dba4c683chunk-74e2466de2f67fd710ef2f20c0a8d9e0'}> -2024-10-30 06:04:05,003 - lightrag - INFO - _do_upsert:query: - MERGE (n:`COLD WEATHER`) - SET n += $properties - RETURN n - :result:{'entity_type': '"GEO"', 'description': '"Cold Weather is noted in the conversation between the businessmen, serving as a backdrop to their trivial interactions.""Cold Weather sets the bleak and unforgiving atmosphere, reflecting Scrooge’s own personality and state of mind.""Cold Weather sets the bleak and unforgiving atmosphere, reflecting Scrooge’s own personality and state of mind.""Cold Weather sets the bleak and unforgiving atmosphere, reflecting Scrooge’s own personality and state of mind.""Cold Weather sets the bleak and unforgiving atmosphere, reflecting Scrooge’s own personality and state of mind."', 'source_id': 'chunk-f1a4fbcf1ed86864b9bfd5e8dba4c683chunk-74e2466de2f67fd710ef2f20c0a8d9e0'} -2024-10-30 06:04:05,132 - lightrag - INFO - get_node:query:MATCH (n:`FOG`) RETURN n:result:"Fog is a weather phenomenon that adds to the bleak atmosphere, reflecting the obscurity and confusion in Scrooge\'s life.""Fog represents the obscured visibility and confusion in Scrooge\'s surroundings, enhancing the atmosphere of uncertainty and apprehension.""Fog represents the obscurity and isolation in the environment, mirroring Scrooge’s emotional distance and isolation from society.""Fog represents the obscured visibility and confusion in Scrooge\'s surroundings, enhancing the atmosphere of uncertainty and apprehension.""Fog represents the obscurity and isolation in the environment, mirroring Scrooge’s emotional distance and isolation from society.""Fog represents the obscured visibility and confusion in Scrooge\'s surroundings, enhancing the atmosphere of uncertainty and apprehension.""Fog represents the obscurity and isolation in the environment, mirroring Scrooge’s emotional distance and isolation from society."', 'source_id': 'chunk-d9aac3484185ac66045df92214d245d5chunk-c7b10789a9cb0af6c553730b29bd9034chunk-74e2466de2f67fd710ef2f20c0a8d9e0'}> -2024-10-30 06:04:05,266 - lightrag - INFO - _do_upsert:query: - MERGE (n:`FOG`) - SET n += $properties - RETURN n - :result:{'entity_type': '"GEO"', 'description': '"Fog is a weather condition mentioned that enhances the dreary atmosphere surrounding Scrooge\'s home and workplace.""Fog is a weather phenomenon that adds to the bleak atmosphere, reflecting the obscurity and confusion in Scrooge\'s life.""Fog represents the obscured visibility and confusion in Scrooge\'s surroundings, enhancing the atmosphere of uncertainty and apprehension.""Fog represents the obscurity and isolation in the environment, mirroring Scrooge’s emotional distance and isolation from society.""Fog represents the obscured visibility and confusion in Scrooge\'s surroundings, enhancing the atmosphere of uncertainty and apprehension.""Fog represents the obscurity and isolation in the environment, mirroring Scrooge’s emotional distance and isolation from society.""Fog represents the obscured visibility and confusion in Scrooge\'s surroundings, enhancing the atmosphere of uncertainty and apprehension.""Fog represents the obscurity and isolation in the environment, mirroring Scrooge’s emotional distance and isolation from society.""Fog represents the obscured visibility and confusion in Scrooge\'s surroundings, enhancing the atmosphere of uncertainty and apprehension.""Fog represents the obscurity and isolation in the environment, mirroring Scrooge’s emotional distance and isolation from society."', 'source_id': 'chunk-74e2466de2f67fd710ef2f20c0a8d9e0chunk-c7b10789a9cb0af6c553730b29bd9034chunk-d9aac3484185ac66045df92214d245d5'} -2024-10-30 06:04:05,395 - lightrag - INFO - get_node:query:MATCH (n:`COURT`) RETURN n:result: -2024-10-30 06:04:05,526 - lightrag - INFO - _do_upsert:query: - MERGE (n:`COURT`) - SET n += $properties - RETURN n - :result:{'entity_type': '"GEO"', 'description': '"The Court is a location described as a space outside Scrooge\'s office where people pass by, emphasizing the contrast between Scrooge\'s inside world and the outside social interactions."', 'source_id': 'chunk-74e2466de2f67fd710ef2f20c0a8d9e0'} -2024-10-30 06:04:05,656 - lightrag - INFO - get_node:query:MATCH (n:`SCROOGE AND MARLEY'S`) RETURN n:result: -2024-10-30 06:04:05,792 - lightrag - INFO - _do_upsert:query: - MERGE (n:`SCROOGE AND MARLEY'S`) - SET n += $properties - RETURN n - :result:{'entity_type': '"ORGANIZATION"', 'description': '"Scrooge and Marley\'s is the name of the business run by Scrooge, signifying a partnership that existed before Marley’s death."', 'source_id': 'chunk-5dac41b3f9eeaf794f0147400b1718cd'} -2024-10-30 06:04:05,924 - lightrag - INFO - get_node:query:MATCH (n:`CLERK`) RETURN n:result:"The Clerk is a minor character who provides a contrast to Scrooge\'s character, expressing warmth and kindness during the holiday season.""The Clerk is a minor character who provides a contrast to Scrooge\'s character, expressing warmth and kindness during the holiday season.""The Clerk is an unnamed character who serves Scrooge, exhibiting a hopeful disposition despite Scrooge\'s ill-tempered management."', 'source_id': 'chunk-d9aac3484185ac66045df92214d245d5chunk-5dac41b3f9eeaf794f0147400b1718cd'}> -2024-10-30 06:04:06,058 - lightrag - INFO - _do_upsert:query: - MERGE (n:`CLERK`) - SET n += $properties - RETURN n - :result:{'entity_type': '"PERSON"', 'description': '"The Clerk is a minor character who provides a contrast to Scrooge\'s character, expressing warmth and kindness during the holiday season.""The Clerk is a minor character who provides a contrast to Scrooge\'s character, expressing warmth and kindness during the holiday season.""The Clerk is a minor character who provides a contrast to Scrooge\'s character, expressing warmth and kindness during the holiday season.""The Clerk is a minor character who provides a contrast to Scrooge\'s character, expressing warmth and kindness during the holiday season.""The Clerk is an unnamed character who serves Scrooge, exhibiting a hopeful disposition despite Scrooge\'s ill-tempered management."', 'source_id': 'chunk-5dac41b3f9eeaf794f0147400b1718cdchunk-d9aac3484185ac66045df92214d245d5'} -2024-10-30 06:04:06,192 - lightrag - INFO - get_node:query:MATCH (n:`THE GENTLEMEN`) RETURN n:result: -2024-10-30 06:04:06,344 - lightrag - INFO - _do_upsert:query: - MERGE (n:`THE GENTLEMEN`) - SET n += $properties - RETURN n - :result:{'entity_type': '"ORGANIZATION"', 'description': '"The Gentlemen are portrayed as representatives who arrive at Scrooge\'s office to collect donations for the poor during Christmas."', 'source_id': 'chunk-5dac41b3f9eeaf794f0147400b1718cd'} -2024-10-30 06:04:06,472 - lightrag - INFO - get_node:query:MATCH (n:`POOR AND DESTITUTE`) RETURN n:result: -2024-10-30 06:04:06,606 - lightrag - INFO - _do_upsert:query: - MERGE (n:`POOR AND DESTITUTE`) - SET n += $properties - RETURN n - :result:{'entity_type': '"CONCEPT"', 'description': '"The Poor and Destitute refer to those in need, highlighting the themes of charity and social responsibility that are emphasized during the Christmas season."', 'source_id': 'chunk-5dac41b3f9eeaf794f0147400b1718cd'} -2024-10-30 06:04:06,735 - lightrag - INFO - get_node:query:MATCH (n:`CHRISTMAS-TIME`) RETURN n:result:"Christmas-Time refers to the period surrounding Christmas, laden with connotations of joy, generosity, and family gatherings, which Scrooge vehemently criticizes.""Christmas-Time refers to the period surrounding Christmas, laden with connotations of joy, generosity, and family gatherings, which Scrooge vehemently criticizes.""Christmas-time is characterized as a period filled with festivities, joy, and community engagement, which Scrooge regards cynically.""Christmas-time represents the festive season, a recurring theme that evokes memories and emotions in Scrooge’s reflections.""Christmas-time serves as a backdrop for the narrative, emphasizing themes of reflection, mortality, and social interactions.""Christmas-time symbolizes a period of joy and reunion, characterized by scenes of celebration and warmth in the story.""Christmas-time symbolizes a period of joy and reunion, characterized by scenes of celebration and warmth in the story.""Christmas-time symbolizes a period of joy and reunion, characterized by scenes of celebration and warmth in the story."', 'source_id': 'chunk-f1a4fbcf1ed86864b9bfd5e8dba4c683chunk-c6c248858d1b13ab7ee9ca13c1aeed6bchunk-5dac41b3f9eeaf794f0147400b1718cd'}> -2024-10-30 06:04:06,875 - lightrag - INFO - _do_upsert:query: - MERGE (n:`CHRISTMAS-TIME`) - SET n += $properties - RETURN n - :result:{'entity_type': '"EVENT"', 'description': '"Christmas-Time refers to the period surrounding Christmas, laden with connotations of joy, generosity, and family gatherings, which Scrooge vehemently criticizes.""Christmas-Time refers to the period surrounding Christmas, laden with connotations of joy, generosity, and family gatherings, which Scrooge vehemently criticizes.""Christmas-Time refers to the period surrounding Christmas, laden with connotations of joy, generosity, and family gatherings, which Scrooge vehemently criticizes.""Christmas-Time refers to the period surrounding Christmas, laden with connotations of joy, generosity, and family gatherings, which Scrooge vehemently criticizes.""Christmas-time is characterized as a period filled with festivities, joy, and community engagement, which Scrooge regards cynically.""Christmas-time represents the festive season, a recurring theme that evokes memories and emotions in Scrooge’s reflections.""Christmas-time serves as a backdrop for the narrative, emphasizing themes of reflection, mortality, and social interactions.""Christmas-time symbolizes a period of joy and reunion, characterized by scenes of celebration and warmth in the story.""Christmas-time symbolizes a period of joy and reunion, characterized by scenes of celebration and warmth in the story.""Christmas-time symbolizes a period of joy and reunion, characterized by scenes of celebration and warmth in the story.""Christmas-time symbolizes a period of joy and reunion, characterized by scenes of celebration and warmth in the story."', 'source_id': 'chunk-f1a4fbcf1ed86864b9bfd5e8dba4c683chunk-5dac41b3f9eeaf794f0147400b1718cdchunk-c6c248858d1b13ab7ee9ca13c1aeed6b'} -2024-10-30 06:04:07,005 - lightrag - INFO - get_node:query:MATCH (n:`BEDLAM`) RETURN n:result:"Bedlam is referenced as a metaphorical expression of madness, illustrating Scrooge\'s disdain for cheerful attitudes he finds absurd.""Bedlam is referenced as a metaphorical expression of madness, illustrating Scrooge\'s disdain for cheerful attitudes he finds absurd.""Bedlam is referenced as a metaphorical place for madness, illustrating Scrooge\'s disdain for the cheerful nature of Christmas and his sense of isolation."', 'source_id': 'chunk-5dac41b3f9eeaf794f0147400b1718cd'}> -2024-10-30 06:04:07,139 - lightrag - INFO - _do_upsert:query: - MERGE (n:`BEDLAM`) - SET n += $properties - RETURN n - :result:{'entity_type': '"GEO"', 'description': '"Bedlam is referenced as a metaphorical expression of madness, illustrating Scrooge\'s disdain for cheerful attitudes he finds absurd.""Bedlam is referenced as a metaphorical expression of madness, illustrating Scrooge\'s disdain for cheerful attitudes he finds absurd.""Bedlam is referenced as a metaphorical expression of madness, illustrating Scrooge\'s disdain for cheerful attitudes he finds absurd.""Bedlam is referenced as a metaphorical expression of madness, illustrating Scrooge\'s disdain for cheerful attitudes he finds absurd.""Bedlam is referenced as a metaphorical place for madness, illustrating Scrooge\'s disdain for the cheerful nature of Christmas and his sense of isolation."', 'source_id': 'chunk-5dac41b3f9eeaf794f0147400b1718cd'} -2024-10-30 06:04:07,301 - lightrag - INFO - get_node:query:MATCH (n:`THE GENTLEMAN`) RETURN n:result:"The Gentleman is a character attempting to persuade Scrooge to contribute to charity for the poor during Christmas.""The Gentleman is a character attempting to persuade Scrooge to contribute to charity for the poor during Christmas.""The Gentleman is a character who advocates for helping the poor and trying to raise a fund for those in need during Christmas."', 'source_id': 'chunk-90d5764e301321c087f5a8f78b73a145'}> -2024-10-30 06:04:07,437 - lightrag - INFO - _do_upsert:query: - MERGE (n:`THE GENTLEMAN`) - SET n += $properties - RETURN n - :result:{'entity_type': '"PERSON"', 'description': '"The Gentleman is a character attempting to persuade Scrooge to contribute to charity for the poor during Christmas.""The Gentleman is a character attempting to persuade Scrooge to contribute to charity for the poor during Christmas.""The Gentleman is a character attempting to persuade Scrooge to contribute to charity for the poor during Christmas.""The Gentleman is a character attempting to persuade Scrooge to contribute to charity for the poor during Christmas.""The Gentleman is a character who advocates for helping the poor and trying to raise a fund for those in need during Christmas."', 'source_id': 'chunk-90d5764e301321c087f5a8f78b73a145'} -2024-10-30 06:04:07,567 - lightrag - INFO - get_node:query:MATCH (n:`THE POOR LAW`) RETURN n:result: -2024-10-30 06:04:07,702 - lightrag - INFO - _do_upsert:query: - MERGE (n:`THE POOR LAW`) - SET n += $properties - RETURN n - :result:{'entity_type': '"ORGANIZATION"', 'description': '"The Poor Law refers to a governmental system in place intended to support the impoverished, which Scrooge references to indicate his views on responsibility and charity."', 'source_id': 'chunk-90d5764e301321c087f5a8f78b73a145'} -2024-10-30 06:04:07,830 - lightrag - INFO - get_node:query:MATCH (n:`THE UNION WORKHOUSES`) RETURN n:result:"The Union Workhouses are facilities that provide aid to the poor, still operational as confirmed by the Gentleman during the discussion with Scrooge.""The Union Workhouses are facilities that provide aid to the poor, still operational as confirmed by the Gentleman during the discussion with Scrooge.""The Union Workhouses are institutions mentioned as a means of supporting the poor, still operational during Scrooge\'s time."', 'source_id': 'chunk-90d5764e301321c087f5a8f78b73a145'}> -2024-10-30 06:04:07,966 - lightrag - INFO - _do_upsert:query: - MERGE (n:`THE UNION WORKHOUSES`) - SET n += $properties - RETURN n - :result:{'entity_type': '"ORGANIZATION"', 'description': '"The Union Workhouses are facilities that provide aid to the poor, still operational as confirmed by the Gentleman during the discussion with Scrooge.""The Union Workhouses are facilities that provide aid to the poor, still operational as confirmed by the Gentleman during the discussion with Scrooge.""The Union Workhouses are facilities that provide aid to the poor, still operational as confirmed by the Gentleman during the discussion with Scrooge.""The Union Workhouses are facilities that provide aid to the poor, still operational as confirmed by the Gentleman during the discussion with Scrooge.""The Union Workhouses are institutions mentioned as a means of supporting the poor, still operational during Scrooge\'s time."', 'source_id': 'chunk-90d5764e301321c087f5a8f78b73a145'} -2024-10-30 06:04:08,097 - lightrag - INFO - get_node:query:MATCH (n:`THE MANSION HOUSE`) RETURN n:result:"The Mansion House is the official residence of the Lord Mayor, where festive preparations for Christmas are being made.""The Mansion House is the official residence of the Lord Mayor, where festive preparations for Christmas are being made.""The Mansion House is the official residence of the Lord Mayor, where festive preparations for Christmas are being made."', 'source_id': 'chunk-90d5764e301321c087f5a8f78b73a145'}> -2024-10-30 06:04:08,232 - lightrag - INFO - _do_upsert:query: - MERGE (n:`THE MANSION HOUSE`) - SET n += $properties - RETURN n - :result:{'entity_type': '"LOCATION"', 'description': '"The Mansion House is identified as the residence of the Lord Mayor, a place associated with Christmas festivities and order.""The Mansion House is the official residence of the Lord Mayor, where festive preparations for Christmas are being made.""The Mansion House is the official residence of the Lord Mayor, where festive preparations for Christmas are being made.""The Mansion House is the official residence of the Lord Mayor, where festive preparations for Christmas are being made.""The Mansion House is the official residence of the Lord Mayor, where festive preparations for Christmas are being made."', 'source_id': 'chunk-90d5764e301321c087f5a8f78b73a145'} -2024-10-30 06:04:08,392 - lightrag - INFO - get_node:query:MATCH (n:`THE POOR`) RETURN n:result:"The Poor refer to those individuals in society who face economic hardship and are in need of help, as indicated by their absence from the workhouses and their desperate circumstances during the festive season.""The Poor refer to those individuals in society who face economic hardship and are in need of help, as indicated by their absence from the workhouses and their desperate circumstances during the festive season.""The Poor refers to the individuals in society who are destitute and in need of assistance, often highlighted in discussions about charity during Christmas."', 'source_id': 'chunk-90d5764e301321c087f5a8f78b73a145'}> -2024-10-30 06:04:08,525 - lightrag - INFO - _do_upsert:query: - MERGE (n:`THE POOR`) - SET n += $properties - RETURN n - :result:{'entity_type': '"PERSON"', 'description': '"The Poor refer to those individuals in society who face economic hardship and are in need of help, as indicated by their absence from the workhouses and their desperate circumstances during the festive season.""The Poor refer to those individuals in society who face economic hardship and are in need of help, as indicated by their absence from the workhouses and their desperate circumstances during the festive season.""The Poor refer to those individuals in society who face economic hardship and are in need of help, as indicated by their absence from the workhouses and their desperate circumstances during the festive season.""The Poor refer to those individuals in society who face economic hardship and are in need of help, as indicated by their absence from the workhouses and their desperate circumstances during the festive season.""The Poor refers to the individuals in society who are destitute and in need of assistance, often highlighted in discussions about charity during Christmas."', 'source_id': 'chunk-90d5764e301321c087f5a8f78b73a145'} -2024-10-30 06:04:08,654 - lightrag - INFO - get_node:query:MATCH (n:`SCROOGE'S COUNTING-HOUSE`) RETURN n:result: -2024-10-30 06:04:08,787 - lightrag - INFO - _do_upsert:query: - MERGE (n:`SCROOGE'S COUNTING-HOUSE`) - SET n += $properties - RETURN n - :result:{'entity_type': '"LOCATION"', 'description': '"Scrooge\'s Counting-House is the workspace of Scrooge where he conducts his business, symbolizing his frugality and solitary nature."', 'source_id': 'chunk-90d5764e301321c087f5a8f78b73a145'} -2024-10-30 06:04:08,916 - lightrag - INFO - get_node:query:MATCH (n:`THE LORD MAYOR`) RETURN n:result:"The Lord Mayor oversees the festivities during Christmas at the Mansion House, representing authority and public celebration.""The Lord Mayor oversees the festivities during Christmas at the Mansion House, representing authority and public celebration.""The Lord Mayor oversees the festivities during Christmas at the Mansion House, representing authority and public celebration."', 'source_id': 'chunk-90d5764e301321c087f5a8f78b73a145'}> -2024-10-30 06:04:09,050 - lightrag - INFO - _do_upsert:query: - MERGE (n:`THE LORD MAYOR`) - SET n += $properties - RETURN n - :result:{'entity_type': '"PERSON"', 'description': '"The Lord Mayor is a civic leader responsible for overseeing Christmas festivities and ensuring proper celebrations in the town.""The Lord Mayor oversees the festivities during Christmas at the Mansion House, representing authority and public celebration.""The Lord Mayor oversees the festivities during Christmas at the Mansion House, representing authority and public celebration.""The Lord Mayor oversees the festivities during Christmas at the Mansion House, representing authority and public celebration.""The Lord Mayor oversees the festivities during Christmas at the Mansion House, representing authority and public celebration."', 'source_id': 'chunk-90d5764e301321c087f5a8f78b73a145'} -2024-10-30 06:04:09,179 - lightrag - INFO - get_node:query:MATCH (n:`CHRISTMAS PUDDING`) RETURN n:result:"Christmas Pudding is a dish being prepared for the festive celebration, embodying the spirit of Christmas and family gatherings.""Christmas Pudding is a dish being prepared for the festive celebration, embodying the spirit of Christmas and family gatherings.""The Christmas Pudding is a significant dish prepared by Mrs. Cratchit, symbolizing the family\'s festive celebration and unity."', 'source_id': 'chunk-503f0bfa5453467c7c61d160a3540ecachunk-90d5764e301321c087f5a8f78b73a145'}> -2024-10-30 06:04:09,313 - lightrag - INFO - _do_upsert:query: - MERGE (n:`CHRISTMAS PUDDING`) - SET n += $properties - RETURN n - :result:{'entity_type': '"EVENT"', 'description': '"Christmas Pudding is a dish being prepared for the festive celebration, embodying the spirit of Christmas and family gatherings.""Christmas Pudding is a dish being prepared for the festive celebration, embodying the spirit of Christmas and family gatherings.""Christmas Pudding is a dish being prepared for the festive celebration, embodying the spirit of Christmas and family gatherings.""Christmas Pudding is a dish being prepared for the festive celebration, embodying the spirit of Christmas and family gatherings.""The Christmas Pudding is a significant dish prepared by Mrs. Cratchit, symbolizing the family\'s festive celebration and unity."', 'source_id': 'chunk-90d5764e301321c087f5a8f78b73a145chunk-503f0bfa5453467c7c61d160a3540eca'} -2024-10-30 06:04:09,444 - lightrag - INFO - get_node:query:MATCH (n:`THE GAS-PIPES`) RETURN n:result:"The Gas-Pipes represent the infrastructure of the city, which signifies the industrial and economic activity during the cold winter season.""The Gas-Pipes represent the infrastructure of the city, which signifies the industrial and economic activity during the cold winter season.""The Gas-pipes are mentioned as undergoing repairs in The Main Street, indicating the infrastructure\'s role in the community during winter."', 'source_id': 'chunk-90d5764e301321c087f5a8f78b73a145'}> -2024-10-30 06:04:09,580 - lightrag - INFO - _do_upsert:query: - MERGE (n:`THE GAS-PIPES`) - SET n += $properties - RETURN n - :result:{'entity_type': '"ORGANIZATION"', 'description': '"The Gas-Pipes represent the infrastructure of the city, which signifies the industrial and economic activity during the cold winter season.""The Gas-Pipes represent the infrastructure of the city, which signifies the industrial and economic activity during the cold winter season.""The Gas-Pipes represent the infrastructure of the city, which signifies the industrial and economic activity during the cold winter season.""The Gas-Pipes represent the infrastructure of the city, which signifies the industrial and economic activity during the cold winter season.""The Gas-pipes are mentioned as undergoing repairs in The Main Street, indicating the infrastructure\'s role in the community during winter."', 'source_id': 'chunk-90d5764e301321c087f5a8f78b73a145'} -2024-10-30 06:04:09,708 - lightrag - INFO - get_node:query:MATCH (n:`THE CHURCH`) RETURN n:result:"The Church is a location from where the clock chimes are heard, marking the passage of time and contributing to the atmosphere of the scene.""The Church is a location from where the clock chimes are heard, marking the passage of time and contributing to the atmosphere of the scene.""The Church is a place Scrooge visits, indicating his desire to engage in the Christmas spirit and community.""The Church is a place referenced in the context of the community\'s sentiments toward Christmas and social welfare.""The Church is a place referenced in the context of the community\'s sentiments toward Christmas and social welfare.""The Church is a place referenced in the context of the community\'s sentiments toward Christmas and social welfare."', 'source_id': 'chunk-8f738cb25d60a7dab782162d9d0a25edchunk-cb661c37436355ccec2769b1d0350c5fchunk-90d5764e301321c087f5a8f78b73a145'}> -2024-10-30 06:04:09,842 - lightrag - INFO - _do_upsert:query: - MERGE (n:`THE CHURCH`) - SET n += $properties - RETURN n - :result:{'entity_type': '"ORGANIZATION"', 'description': '"The Church is a location from where the clock chimes are heard, marking the passage of time and contributing to the atmosphere of the scene.""The Church is a location from where the clock chimes are heard, marking the passage of time and contributing to the atmosphere of the scene.""The Church is a location from where the clock chimes are heard, marking the passage of time and contributing to the atmosphere of the scene.""The Church is a location from where the clock chimes are heard, marking the passage of time and contributing to the atmosphere of the scene.""The Church is a place Scrooge visits, indicating his desire to engage in the Christmas spirit and community.""The Church is a place referenced in the context of the community\'s sentiments toward Christmas and social welfare.""The Church is a place referenced in the context of the community\'s sentiments toward Christmas and social welfare.""The Church is a place referenced in the context of the community\'s sentiments toward Christmas and social welfare.""The Church is a place referenced in the context of the community\'s sentiments toward Christmas and social welfare."', 'source_id': 'chunk-90d5764e301321c087f5a8f78b73a145chunk-8f738cb25d60a7dab782162d9d0a25edchunk-cb661c37436355ccec2769b1d0350c5f'} -2024-10-30 06:04:09,977 - lightrag - INFO - get_node:query:MATCH (n:`THE CRATCHIT FAMILY`) RETURN n:result:"The Cratchit Family consists of Bob, Mrs. Cratchit, Tiny Tim, and their children, characterized by their strong familial bonds and love for one another despite financial struggles.""The Cratchit Family consists of Bob, Mrs. Cratchit, Tiny Tim, and their children, characterized by their strong familial bonds and love for one another despite financial struggles.""The Cratchit Family consists of Bob, Mrs. Cratchit, and their children, highlighting themes of familial love and support amidst hardship.""The Cratchit Family is a close-knit family depicted in the text, characterized by love and warmth, celebrating Christmas together despite their difficulties.""The Cratchit Family represents a typical struggling family in the text, highlighting the theme of social disparity during Christmas.""The Cratchit Family is a close-knit family depicted in the text, characterized by love and warmth, celebrating Christmas together despite their difficulties.""The Cratchit Family represents a typical struggling family in the text, highlighting the theme of social disparity during Christmas.""The Cratchit Family is a close-knit family depicted in the text, characterized by love and warmth, celebrating Christmas together despite their difficulties.""The Cratchit Family represents a typical struggling family in the text, highlighting the theme of social disparity during Christmas."', 'source_id': 'chunk-503f0bfa5453467c7c61d160a3540ecachunk-1d4b58de5429cd1261370c231c8673e8chunk-90d5764e301321c087f5a8f78b73a145'}> -2024-10-30 06:04:10,112 - lightrag - INFO - _do_upsert:query: - MERGE (n:`THE CRATCHIT FAMILY`) - SET n += $properties - RETURN n - :result:{'entity_type': '"ORGANIZATION"', 'description': '"The Cratchit Family consists of Bob, Mrs. Cratchit, Tiny Tim, and their children, characterized by their strong familial bonds and love for one another despite financial struggles.""The Cratchit Family consists of Bob, Mrs. Cratchit, Tiny Tim, and their children, characterized by their strong familial bonds and love for one another despite financial struggles.""The Cratchit Family consists of Bob, Mrs. Cratchit, Tiny Tim, and their children, characterized by their strong familial bonds and love for one another despite financial struggles.""The Cratchit Family consists of Bob, Mrs. Cratchit, Tiny Tim, and their children, characterized by their strong familial bonds and love for one another despite financial struggles.""The Cratchit Family consists of Bob, Mrs. Cratchit, and their children, highlighting themes of familial love and support amidst hardship.""The Cratchit Family is a close-knit family depicted in the text, characterized by love and warmth, celebrating Christmas together despite their difficulties.""The Cratchit Family represents a typical struggling family in the text, highlighting the theme of social disparity during Christmas.""The Cratchit Family is a close-knit family depicted in the text, characterized by love and warmth, celebrating Christmas together despite their difficulties.""The Cratchit Family represents a typical struggling family in the text, highlighting the theme of social disparity during Christmas.""The Cratchit Family is a close-knit family depicted in the text, characterized by love and warmth, celebrating Christmas together despite their difficulties.""The Cratchit Family represents a typical struggling family in the text, highlighting the theme of social disparity during Christmas.""The Cratchit Family is a close-knit family depicted in the text, characterized by love and warmth, celebrating Christmas together despite their difficulties.""The Cratchit Family represents a typical struggling family in the text, highlighting the theme of social disparity during Christmas."', 'source_id': 'chunk-90d5764e301321c087f5a8f78b73a145chunk-1d4b58de5429cd1261370c231c8673e8chunk-503f0bfa5453467c7c61d160a3540eca'} -2024-10-30 06:04:10,244 - lightrag - INFO - get_node:query:MATCH (n:`CHRISTMAS EVE`) RETURN n:result:"Christmas Eve is a significant time in the story, marked by celebrations and gatherings led by Fezziwig.""Christmas Eve is a significant time in the story, marked by celebrations and gatherings led by Fezziwig.""Christmas Eve is depicted as a significant time, bringing about joyful activities like sliding down snow hills, contrasting with Scrooge\'s dour demeanor.""Christmas Eve is the night before Christmas, serving as the backdrop for the lively celebrations and dances hosted by Fezziwig.""Christmas Eve is the specific time setting in the story, highlighting the contrast between the joy of the holiday and Scrooge\'s negativity.""Christmas Eve is the day prior to Christmas, a time that carries festive significance and anticipation in the narrative.""Christmas Eve is the day prior to Christmas, a time that carries festive significance and anticipation in the narrative.""Christmas Eve is the day prior to Christmas, a time that carries festive significance and anticipation in the narrative."', 'source_id': 'chunk-74e2466de2f67fd710ef2f20c0a8d9e0chunk-d9aac3484185ac66045df92214d245d5chunk-8bc1edd983869352d14cf0886a9175a7'}> -2024-10-30 06:04:10,383 - lightrag - INFO - _do_upsert:query: - MERGE (n:`CHRISTMAS EVE`) - SET n += $properties - RETURN n - :result:{'entity_type': '"EVENT"', 'description': '"Christmas Eve is a significant time in the story, marked by celebrations and gatherings led by Fezziwig.""Christmas Eve is a significant time in the story, marked by celebrations and gatherings led by Fezziwig.""Christmas Eve is a significant time in the story, marked by celebrations and gatherings led by Fezziwig.""Christmas Eve is a significant time in the story, marked by celebrations and gatherings led by Fezziwig.""Christmas Eve is depicted as a significant time, bringing about joyful activities like sliding down snow hills, contrasting with Scrooge\'s dour demeanor.""Christmas Eve is the night before Christmas, serving as the backdrop for the lively celebrations and dances hosted by Fezziwig.""Christmas Eve is the specific time setting in the story, highlighting the contrast between the joy of the holiday and Scrooge\'s negativity.""Christmas Eve is the day prior to Christmas, a time that carries festive significance and anticipation in the narrative.""Christmas Eve is the day prior to Christmas, a time that carries festive significance and anticipation in the narrative.""Christmas Eve is the day prior to Christmas, a time that carries festive significance and anticipation in the narrative.""Christmas Eve is the day prior to Christmas, a time that carries festive significance and anticipation in the narrative."', 'source_id': 'chunk-74e2466de2f67fd710ef2f20c0a8d9e0chunk-d9aac3484185ac66045df92214d245d5chunk-8bc1edd983869352d14cf0886a9175a7'} -2024-10-30 06:04:10,516 - lightrag - INFO - get_node:query:MATCH (n:`CAMDEN TOWN`) RETURN n:result:"Camden Town is a location mentioned as Bob Cratchit\'s home, highlighting the setting of his personal life.""Camden Town is a location mentioned as Bob Cratchit\'s home, highlighting the setting of his personal life.""Camden Town is a location mentioned in relation to the logistics of transporting a large turkey.""Camden Town is a location where Bob Cratchit runs home to celebrate Christmas Eve, representing a more joyful and lively setting.""Camden Town is mentioned as a location related to the transportation of a turkey in a humorous context during the holiday season.""Camden Town is mentioned as a location related to the transportation of a turkey in a humorous context during the holiday season.""Camden Town is mentioned as a location related to the transportation of a turkey in a humorous context during the holiday season."', 'source_id': 'chunk-d9aac3484185ac66045df92214d245d5chunk-8f738cb25d60a7dab782162d9d0a25ed'}> -2024-10-30 06:04:10,653 - lightrag - INFO - _do_upsert:query: - MERGE (n:`CAMDEN TOWN`) - SET n += $properties - RETURN n - :result:{'entity_type': '"GEO"', 'description': '"Camden Town is a location mentioned as Bob Cratchit\'s home, highlighting the setting of his personal life.""Camden Town is a location mentioned as Bob Cratchit\'s home, highlighting the setting of his personal life.""Camden Town is a location mentioned as Bob Cratchit\'s home, highlighting the setting of his personal life.""Camden Town is a location mentioned as Bob Cratchit\'s home, highlighting the setting of his personal life.""Camden Town is a location mentioned in relation to the logistics of transporting a large turkey.""Camden Town is a location where Bob Cratchit runs home to celebrate Christmas Eve, representing a more joyful and lively setting.""Camden Town is mentioned as a location related to the transportation of a turkey in a humorous context during the holiday season.""Camden Town is mentioned as a location related to the transportation of a turkey in a humorous context during the holiday season.""Camden Town is mentioned as a location related to the transportation of a turkey in a humorous context during the holiday season.""Camden Town is mentioned as a location related to the transportation of a turkey in a humorous context during the holiday season."', 'source_id': 'chunk-d9aac3484185ac66045df92214d245d5chunk-8f738cb25d60a7dab782162d9d0a25ed'} -2024-10-30 06:04:10,781 - lightrag - INFO - get_node:query:MATCH (n:`THE COUNTING-HOUSE`) RETURN n:result:"The Counting-House is where Scrooge works and is characterized by its cold and unwelcoming environment.""The Counting-House is the place where Scrooge works, reflecting a business environment lacking warmth or joy.""The Counting-House is the place where Scrooge works, reflecting a business environment lacking warmth or joy.""The Counting-House is the place where Scrooge works, reflecting a business environment lacking warmth or joy."', 'source_id': 'chunk-d9aac3484185ac66045df92214d245d5chunk-74e2466de2f67fd710ef2f20c0a8d9e0'}> -2024-10-30 06:04:10,916 - lightrag - INFO - _do_upsert:query: - MERGE (n:`THE COUNTING-HOUSE`) - SET n += $properties - RETURN n - :result:{'entity_type': '"ORGANIZATION"', 'description': '"The Counting-House is Scrooge\'s place of work, characterized by a gloomy demeanor and an atmosphere that reflects Scrooge\'s character.""The Counting-House is where Scrooge works and is characterized by its cold and unwelcoming environment.""The Counting-House is the place where Scrooge works, reflecting a business environment lacking warmth or joy.""The Counting-House is the place where Scrooge works, reflecting a business environment lacking warmth or joy.""The Counting-House is the place where Scrooge works, reflecting a business environment lacking warmth or joy.""The Counting-House is the place where Scrooge works, reflecting a business environment lacking warmth or joy."', 'source_id': 'chunk-74e2466de2f67fd710ef2f20c0a8d9e0chunk-d9aac3484185ac66045df92214d245d5'} -2024-10-30 06:04:11,045 - lightrag - INFO - get_node:query:MATCH (n:`THE KNOCKER`) RETURN n:result:"The Knocker is a feature on Scrooge\'s door, which takes on a mystical quality when Scrooge perceives Marley\'s face in it.""The Knocker is a feature on Scrooge\'s door, which takes on a mystical quality when Scrooge perceives Marley\'s face in it.""The Knocker is a physical object that becomes a symbol of Scrooge\'s psyche, transforming into Marley\'s face, representing his guilt and past.""The Knocker is an ornate door knocker that Scrooge admires, reflecting his newfound appreciation for simple joys.""The Knocker on the door serves as a symbolic gateway to the supernatural events, being the first point of eerie interaction for Scrooge.""The Knocker is a physical object that symbolizes Scrooge\'s newfound appreciation for the simple, honest joys of life during Christmas.""The Knocker is a physical object that symbolizes Scrooge\'s newfound appreciation for the simple, honest joys of life during Christmas.""The Knocker is a physical object that symbolizes Scrooge\'s newfound appreciation for the simple, honest joys of life during Christmas."', 'source_id': 'chunk-9c43dac2fcd5b578242d907ea6f8fc7bchunk-d9aac3484185ac66045df92214d245d5chunk-8f738cb25d60a7dab782162d9d0a25ed'}> -2024-10-30 06:04:11,180 - lightrag - INFO - _do_upsert:query: - MERGE (n:`THE KNOCKER`) - SET n += $properties - RETURN n - :result:{'entity_type': '"ORGANIZATION"', 'description': '"The Knocker is a feature on Scrooge\'s door, which takes on a mystical quality when Scrooge perceives Marley\'s face in it.""The Knocker is a feature on Scrooge\'s door, which takes on a mystical quality when Scrooge perceives Marley\'s face in it.""The Knocker is a feature on Scrooge\'s door, which takes on a mystical quality when Scrooge perceives Marley\'s face in it.""The Knocker is a feature on Scrooge\'s door, which takes on a mystical quality when Scrooge perceives Marley\'s face in it.""The Knocker is a physical object that becomes a symbol of Scrooge\'s psyche, transforming into Marley\'s face, representing his guilt and past.""The Knocker is an ornate door knocker that Scrooge admires, reflecting his newfound appreciation for simple joys.""The Knocker on the door serves as a symbolic gateway to the supernatural events, being the first point of eerie interaction for Scrooge.""The Knocker is a physical object that symbolizes Scrooge\'s newfound appreciation for the simple, honest joys of life during Christmas.""The Knocker is a physical object that symbolizes Scrooge\'s newfound appreciation for the simple, honest joys of life during Christmas.""The Knocker is a physical object that symbolizes Scrooge\'s newfound appreciation for the simple, honest joys of life during Christmas.""The Knocker is a physical object that symbolizes Scrooge\'s newfound appreciation for the simple, honest joys of life during Christmas."', 'source_id': 'chunk-9c43dac2fcd5b578242d907ea6f8fc7bchunk-d9aac3484185ac66045df92214d245d5chunk-8f738cb25d60a7dab782162d9d0a25ed'} -2024-10-30 06:04:11,313 - lightrag - INFO - get_node:query:MATCH (n:`THE COUNTING-HOUSE CLERK`) RETURN n:result: -2024-10-30 06:04:11,452 - lightrag - INFO - _do_upsert:query: - MERGE (n:`THE COUNTING-HOUSE CLERK`) - SET n += $properties - RETURN n - :result:{'entity_type': '"PERSON"', 'description': '"The Counting-House Clerk is an unnamed character who interacts with Scrooge, representing the workforce under Scrooge\'s employment."', 'source_id': 'chunk-d9aac3484185ac66045df92214d245d5'} -2024-10-30 06:04:11,582 - lightrag - INFO - get_node:query:MATCH (n:`THE CANDLE`) RETURN n:result:"The Candle is a source of light that Scrooge lights as he enters his home, symbolizing the struggle against darkness and isolation.""The Candle is a source of light that Scrooge lights as he enters his home, symbolizing the struggle against darkness and isolation.""The Candle represents a source of light in Scrooge\'s dark life, emphasizing the contrast between warmth and isolation."', 'source_id': 'chunk-d9aac3484185ac66045df92214d245d5chunk-9c43dac2fcd5b578242d907ea6f8fc7b'}> -2024-10-30 06:04:11,716 - lightrag - INFO - _do_upsert:query: - MERGE (n:`THE CANDLE`) - SET n += $properties - RETURN n - :result:{'entity_type': '"TECHNOLOGY"', 'description': '"The Candle is a source of light that Scrooge lights as he enters his home, symbolizing the struggle against darkness and isolation.""The Candle is a source of light that Scrooge lights as he enters his home, symbolizing the struggle against darkness and isolation.""The Candle is a source of light that Scrooge lights as he enters his home, symbolizing the struggle against darkness and isolation.""The Candle is a source of light that Scrooge lights as he enters his home, symbolizing the struggle against darkness and isolation.""The Candle represents a source of light in Scrooge\'s dark life, emphasizing the contrast between warmth and isolation."', 'source_id': 'chunk-9c43dac2fcd5b578242d907ea6f8fc7bchunk-d9aac3484185ac66045df92214d245d5'} -2024-10-30 06:04:11,844 - lightrag - INFO - get_node:query:MATCH (n:`THE YARD`) RETURN n:result: -2024-10-30 06:04:11,980 - lightrag - INFO - _do_upsert:query: - MERGE (n:`THE YARD`) - SET n += $properties - RETURN n - :result:{'entity_type': '"GEO"', 'description': '"The Yard refers to the dark and gloomy space behind Scrooge\'s residence, creating an atmosphere of loneliness and despair."', 'source_id': 'chunk-d9aac3484185ac66045df92214d245d5'} -2024-10-30 06:04:12,115 - lightrag - INFO - get_node:query:MATCH (n:`THE FOG AND FROST`) RETURN n:result: -2024-10-30 06:04:12,250 - lightrag - INFO - _do_upsert:query: - MERGE (n:`THE FOG AND FROST`) - SET n += $properties - RETURN n - :result:{'entity_type': '"CONCEPT"', 'description': '"The Fog and Frost symbolize the coldness and obscurity surrounding Scrooge\'s life and mindset, enhancing the gloomy atmosphere."', 'source_id': 'chunk-d9aac3484185ac66045df92214d245d5'} -2024-10-30 06:04:12,378 - lightrag - INFO - get_node:query:MATCH (n:`THE GHOST OF MARLEY`) RETURN n:result:"The Ghost of Marley refers to the apparition that appears to Scrooge, serving as a catalyst for his transformation and moral reckoning.""The Ghost of Marley refers to the apparition that appears to Scrooge, serving as a catalyst for his transformation and moral reckoning.""The Ghost of Marley refers to the apparition that appears to Scrooge, serving as a catalyst for his transformation and moral reckoning."', 'source_id': 'chunk-d9aac3484185ac66045df92214d245d5'}> -2024-10-30 06:04:12,514 - lightrag - INFO - _do_upsert:query: - MERGE (n:`THE GHOST OF MARLEY`) - SET n += $properties - RETURN n - :result:{'entity_type': '"EVENT"', 'description': '"The Ghost of Marley is an event that is anticipated in the narrative, representing Scrooge\'s confrontation with his past and the supernatural.""The Ghost of Marley refers to the apparition that appears to Scrooge, serving as a catalyst for his transformation and moral reckoning.""The Ghost of Marley refers to the apparition that appears to Scrooge, serving as a catalyst for his transformation and moral reckoning.""The Ghost of Marley refers to the apparition that appears to Scrooge, serving as a catalyst for his transformation and moral reckoning.""The Ghost of Marley refers to the apparition that appears to Scrooge, serving as a catalyst for his transformation and moral reckoning."', 'source_id': 'chunk-d9aac3484185ac66045df92214d245d5'} -2024-10-30 06:04:12,647 - lightrag - INFO - get_node:query:MATCH (n:`LONDON`) RETURN n:result:"London is the city where the narrative takes place, representing a central location in the story.""London is the city where the narrative takes place, representing a central location in the story.""London serves as the general setting for the story, although its specific mention relates to an animal in the context of a game.""London serves as the geographical setting for the story, encapsulating the harsh winter atmosphere and the life of its inhabitants during the festive season.""London serves as the setting where the events take place, adding a cultural backdrop to the Christmas gathering.""London serves as the setting for the story, highlighting the bustling yet isolating environment in which Scrooge lives.""London serves as the general setting for the story, although its specific mention relates to an animal in the context of a game.""London serves as the setting for the story, highlighting the bustling yet isolating environment in which Scrooge lives.""London serves as the general setting for the story, although its specific mention relates to an animal in the context of a game.""London serves as the setting for the story, highlighting the bustling yet isolating environment in which Scrooge lives."', 'source_id': 'chunk-d9aac3484185ac66045df92214d245d5chunk-e7637ff18c5ded77a68cce0a87883fadchunk-43c9bee23adfa77aa9dedd22401bba7d'}> -2024-10-30 06:04:12,781 - lightrag - INFO - _do_upsert:query: - MERGE (n:`LONDON`) - SET n += $properties - RETURN n - :result:{'entity_type': '"GEO"', 'description': '"London is the city where the narrative takes place, representing a central location in the story.""London is the city where the narrative takes place, representing a central location in the story.""London is the city where the narrative takes place, representing a central location in the story.""London is the city where the narrative takes place, representing a central location in the story.""London serves as the general setting for the story, although its specific mention relates to an animal in the context of a game.""London serves as the geographical setting for the story, encapsulating the harsh winter atmosphere and the life of its inhabitants during the festive season.""London serves as the setting where the events take place, adding a cultural backdrop to the Christmas gathering.""London serves as the setting for the story, highlighting the bustling yet isolating environment in which Scrooge lives.""London serves as the general setting for the story, although its specific mention relates to an animal in the context of a game.""London serves as the setting for the story, highlighting the bustling yet isolating environment in which Scrooge lives.""London serves as the general setting for the story, although its specific mention relates to an animal in the context of a game.""London serves as the setting for the story, highlighting the bustling yet isolating environment in which Scrooge lives.""London serves as the general setting for the story, although its specific mention relates to an animal in the context of a game.""London serves as the setting for the story, highlighting the bustling yet isolating environment in which Scrooge lives."', 'source_id': 'chunk-43c9bee23adfa77aa9dedd22401bba7dchunk-e7637ff18c5ded77a68cce0a87883fadchunk-d9aac3484185ac66045df92214d245d5'} -2024-10-30 06:04:12,914 - lightrag - INFO - get_node:query:MATCH (n:`THE HOUSE`) RETURN n:result:"The House is the setting for Scrooge\'s encounters, characterized by its darkness, the creaking sounds, and the presence of the ghost.""The House is the setting for Scrooge\'s encounters, characterized by its darkness, the creaking sounds, and the presence of the ghost.""The House is the setting for the Christmas celebration and interactions among the characters, embodying warmth and family togetherness.""The House is the setting where Scrooge experiences the haunting, with a description of its features contributing to the eerie atmosphere."', 'source_id': 'chunk-9c43dac2fcd5b578242d907ea6f8fc7bchunk-da2472b4ef2a535b62908f14d0fb0ca9'}> -2024-10-30 06:04:13,048 - lightrag - INFO - _do_upsert:query: - MERGE (n:`THE HOUSE`) - SET n += $properties - RETURN n - :result:{'entity_type': '"GEO"', 'description': '"The House is the setting for Scrooge\'s encounters, characterized by its darkness, the creaking sounds, and the presence of the ghost.""The House is the setting for Scrooge\'s encounters, characterized by its darkness, the creaking sounds, and the presence of the ghost.""The House is the setting for Scrooge\'s encounters, characterized by its darkness, the creaking sounds, and the presence of the ghost.""The House is the setting for Scrooge\'s encounters, characterized by its darkness, the creaking sounds, and the presence of the ghost.""The House is the setting for the Christmas celebration and interactions among the characters, embodying warmth and family togetherness.""The House is the setting where Scrooge experiences the haunting, with a description of its features contributing to the eerie atmosphere."', 'source_id': 'chunk-9c43dac2fcd5b578242d907ea6f8fc7bchunk-da2472b4ef2a535b62908f14d0fb0ca9'} -2024-10-30 06:04:13,183 - lightrag - INFO - get_node:query:MATCH (n:`THE GHOST`) RETURN n:result:chunk-359187e7571bda4b0b08b2e0b6581e52chunk-cb661c37436355ccec2769b1d0350c5fchunk-54bdd22db1f84a965b5f4c06c9216d8dchunk-02baee20cc9463dbe08170a8e1043e32chunk-c7b10789a9cb0af6c553730b29bd9034chunk-c6c248858d1b13ab7ee9ca13c1aeed6bchunk-e7637ff18c5ded77a68cce0a87883fadchunk-83ac129dc9b56f84c46760d153d68e93chunk-43c9bee23adfa77aa9dedd22401bba7dchunk-9c43dac2fcd5b578242d907ea6f8fc7bchunk-da2472b4ef2a535b62908f14d0fb0ca9chunk-1aa50206d02ed89418f65f97c6441d1c'}> -2024-10-30 06:04:13,186 - lightrag - DEBUG - Trigger summary: "THE GHOST" -2024-10-30 06:04:13,287 - lightrag - INFO - get_node:query:MATCH (n:`THE BELL`) RETURN n:result:"The Bell is described as a disused bell that starts to swing and ring during the haunting, signifying the onset of supernatural occurrences.""The Bell is a disused bell in Scrooge\'s room, which begins to swing and rings out loudly, heralding the appearance of Marley\'s Ghost.""The Bell is a disused bell in Scrooge\'s room, which begins to swing and rings out loudly, heralding the appearance of Marley\'s Ghost.""The Bell is a disused bell in Scrooge\'s room, which begins to swing and rings out loudly, heralding the appearance of Marley\'s Ghost."', 'source_id': 'chunk-cb661c37436355ccec2769b1d0350c5fchunk-9c43dac2fcd5b578242d907ea6f8fc7b'}> -2024-10-30 06:04:13,421 - lightrag - INFO - _do_upsert:query: - MERGE (n:`THE BELL`) - SET n += $properties - RETURN n - :result:{'entity_type': '"GEO"', 'description': '"The Bell is a church bell that signifies the time passing and marks the moments of Scrooge\'s encounters with the ghosts.""The Bell is described as a disused bell that starts to swing and ring during the haunting, signifying the onset of supernatural occurrences.""The Bell is a disused bell in Scrooge\'s room, which begins to swing and rings out loudly, heralding the appearance of Marley\'s Ghost.""The Bell is a disused bell in Scrooge\'s room, which begins to swing and rings out loudly, heralding the appearance of Marley\'s Ghost.""The Bell is a disused bell in Scrooge\'s room, which begins to swing and rings out loudly, heralding the appearance of Marley\'s Ghost.""The Bell is a disused bell in Scrooge\'s room, which begins to swing and rings out loudly, heralding the appearance of Marley\'s Ghost."', 'source_id': 'chunk-9c43dac2fcd5b578242d907ea6f8fc7bchunk-cb661c37436355ccec2769b1d0350c5f'} -2024-10-30 06:04:13,553 - lightrag - INFO - get_node:query:MATCH (n:`THE WINE-MERCHANT'S CELLAR`) RETURN n:result:"The Wine-Merchant\'s Cellar is a location within The House where sounds of dragging chains are heard, signifying a haunted presence.""The Wine-Merchant\'s Cellar is a location within The House where sounds of dragging chains are heard, signifying a haunted presence.""The Wine-Merchant\'s Cellar is a location within The House where sounds of dragging chains are heard, signifying a haunted presence."', 'source_id': 'chunk-9c43dac2fcd5b578242d907ea6f8fc7b'}> -2024-10-30 06:04:13,685 - lightrag - INFO - _do_upsert:query: - MERGE (n:`THE WINE-MERCHANT'S CELLAR`) - SET n += $properties - RETURN n - :result:{'entity_type': '"GEO"', 'description': '"The Wine-Merchant\'s Cellar is a location that holds significance in the story, where sounds of dragging chains are heard, adding to the ghostly ambiance.""The Wine-Merchant\'s Cellar is a location within The House where sounds of dragging chains are heard, signifying a haunted presence.""The Wine-Merchant\'s Cellar is a location within The House where sounds of dragging chains are heard, signifying a haunted presence.""The Wine-Merchant\'s Cellar is a location within The House where sounds of dragging chains are heard, signifying a haunted presence.""The Wine-Merchant\'s Cellar is a location within The House where sounds of dragging chains are heard, signifying a haunted presence."', 'source_id': 'chunk-9c43dac2fcd5b578242d907ea6f8fc7b'} -2024-10-30 06:04:13,815 - lightrag - INFO - get_node:query:MATCH (n:`THE DYING FLAME`) RETURN n:result:"The Dying Flame represents the fear and uncertainty in Scrooge as it reacts to the presence of Marley’s Ghost, adding to the eerie atmosphere.""The Dying Flame represents the fear and uncertainty in Scrooge as it reacts to the presence of Marley’s Ghost, adding to the eerie atmosphere.""The Dying Flame signifies the waning spirit of Scrooge, momentarily invigorated by the arrival of the ghost as a metaphor for his fading humanity.""The Dying Flame signifies the waning spirit of Scrooge, momentarily invigorated by the arrival of the ghost as a metaphor for his fading humanity.""The Dying Flame signifies the waning spirit of Scrooge, momentarily invigorated by the arrival of the ghost as a metaphor for his fading humanity."', 'source_id': 'chunk-9c43dac2fcd5b578242d907ea6f8fc7bchunk-1aa50206d02ed89418f65f97c6441d1c'}> -2024-10-30 06:04:13,951 - lightrag - INFO - _do_upsert:query: - MERGE (n:`THE DYING FLAME`) - SET n += $properties - RETURN n - :result:{'entity_type': '"CONCEPT"', 'description': '"The Dying Flame represents the fear and uncertainty in Scrooge as it reacts to the presence of Marley’s Ghost, adding to the eerie atmosphere.""The Dying Flame represents the fear and uncertainty in Scrooge as it reacts to the presence of Marley’s Ghost, adding to the eerie atmosphere.""The Dying Flame represents the fear and uncertainty in Scrooge as it reacts to the presence of Marley’s Ghost, adding to the eerie atmosphere.""The Dying Flame represents the fear and uncertainty in Scrooge as it reacts to the presence of Marley’s Ghost, adding to the eerie atmosphere.""The Dying Flame signifies the waning spirit of Scrooge, momentarily invigorated by the arrival of the ghost as a metaphor for his fading humanity.""The Dying Flame signifies the waning spirit of Scrooge, momentarily invigorated by the arrival of the ghost as a metaphor for his fading humanity.""The Dying Flame signifies the waning spirit of Scrooge, momentarily invigorated by the arrival of the ghost as a metaphor for his fading humanity.""The Dying Flame signifies the waning spirit of Scrooge, momentarily invigorated by the arrival of the ghost as a metaphor for his fading humanity."', 'source_id': 'chunk-9c43dac2fcd5b578242d907ea6f8fc7bchunk-1aa50206d02ed89418f65f97c6441d1c'} -2024-10-30 06:04:14,082 - lightrag - INFO - get_node:query:MATCH (n:`THE GRATE`) RETURN n:result:"The Grate is a small fire in Scrooge\'s room that provides meager warmth, symbolizing Scrooge\'s cold disposition.""The Grate is a small fire in Scrooge\'s room that provides meager warmth, symbolizing Scrooge\'s cold disposition.""The Grate is part of Scrooge\'s room where a small fire burns, contributing to the bleak and cold atmosphere of his setting."', 'source_id': 'chunk-9c43dac2fcd5b578242d907ea6f8fc7b'}> -2024-10-30 06:04:14,215 - lightrag - INFO - _do_upsert:query: - MERGE (n:`THE GRATE`) - SET n += $properties - RETURN n - :result:{'entity_type': '"GEO"', 'description': '"The Grate is a small fire in Scrooge\'s room that provides meager warmth, symbolizing Scrooge\'s cold disposition.""The Grate is a small fire in Scrooge\'s room that provides meager warmth, symbolizing Scrooge\'s cold disposition.""The Grate is a small fire in Scrooge\'s room that provides meager warmth, symbolizing Scrooge\'s cold disposition.""The Grate is a small fire in Scrooge\'s room that provides meager warmth, symbolizing Scrooge\'s cold disposition.""The Grate is part of Scrooge\'s room where a small fire burns, contributing to the bleak and cold atmosphere of his setting."', 'source_id': 'chunk-9c43dac2fcd5b578242d907ea6f8fc7b'} -2024-10-30 06:04:14,348 - lightrag - INFO - get_node:query:MATCH (n:`SCROOGE'S DRESSING-GOWN`) RETURN n:result: -2024-10-30 06:04:14,483 - lightrag - INFO - _do_upsert:query: - MERGE (n:`SCROOGE'S DRESSING-GOWN`) - SET n += $properties - RETURN n - :result:{'entity_type': '"CONCEPT"', 'description': '"Scrooge\'s Dressing-Gown represents his reluctance to engage with the world outside, emphasizing his isolation and contentment with solitude."', 'source_id': 'chunk-9c43dac2fcd5b578242d907ea6f8fc7b'} -2024-10-30 06:04:14,614 - lightrag - INFO - get_node:query:MATCH (n:`GRUE`) RETURN n:result: -2024-10-30 06:04:14,752 - lightrag - INFO - _do_upsert:query: - MERGE (n:`GRUE`) - SET n += $properties - RETURN n - :result:{'entity_type': '"GEO"', 'description': '"Grue is the small saucepan of gruel prepared by Scrooge, indicating his minimalistic lifestyle and frugality."', 'source_id': 'chunk-9c43dac2fcd5b578242d907ea6f8fc7b'} -2024-10-30 06:04:14,888 - lightrag - INFO - get_node:query:MATCH (n:`THE HEAVY CHAIN`) RETURN n:result: -2024-10-30 06:04:15,025 - lightrag - INFO - _do_upsert:query: - MERGE (n:`THE HEAVY CHAIN`) - SET n += $properties - RETURN n - :result:{'entity_type': '"CONCEPT"', 'description': '"The Heavy Chain is associated with the dragging noise heard by Scrooge, symbolizing the burdens of his past actions."', 'source_id': 'chunk-9c43dac2fcd5b578242d907ea6f8fc7b'} -2024-10-30 06:04:15,157 - lightrag - INFO - get_node:query:MATCH (n:`THE CASK`) RETURN n:result:"The Cask is part of the sounds emerging from the cellar, contributing to the eerie atmosphere surrounding Marley’s Ghost.""The Cask is part of the sounds emerging from the cellar, contributing to the eerie atmosphere surrounding Marley’s Ghost.""The Cask is part of the sounds emerging from the cellar, contributing to the eerie atmosphere surrounding Marley’s Ghost."', 'source_id': 'chunk-9c43dac2fcd5b578242d907ea6f8fc7b'}> -2024-10-30 06:04:15,292 - lightrag - INFO - _do_upsert:query: - MERGE (n:`THE CASK`) - SET n += $properties - RETURN n - :result:{'entity_type': '"GEO"', 'description': '"The Cask is part of the cellar, contributing to the sounds associated with Marley\'s Ghost and aiding in creating a sense of dread.""The Cask is part of the sounds emerging from the cellar, contributing to the eerie atmosphere surrounding Marley’s Ghost.""The Cask is part of the sounds emerging from the cellar, contributing to the eerie atmosphere surrounding Marley’s Ghost.""The Cask is part of the sounds emerging from the cellar, contributing to the eerie atmosphere surrounding Marley’s Ghost.""The Cask is part of the sounds emerging from the cellar, contributing to the eerie atmosphere surrounding Marley’s Ghost."', 'source_id': 'chunk-9c43dac2fcd5b578242d907ea6f8fc7b'} -2024-10-30 06:04:15,429 - lightrag - INFO - get_node:query:MATCH (n:`MARLEY'S GHOST`) RETURN n:result:"Marley\'s Ghost is a spectral figure that represents Scrooge\'s past partner who has returned to convey a message, encapsulating themes of guilt and redemption.""Marley\'s Ghost is a spectral figure that represents Scrooge\'s past partner who has returned to convey a message, encapsulating themes of guilt and redemption.""Marley\'s Ghost is a spectral figure who appears to Scrooge to warn him of the impending visits from three spirits, representing remorse for his past deeds.""Marley\'s Ghost is a spectral visitation that deeply troubles Scrooge and causes him great perplexity, leading him to question the reality of his experiences.""Marley\'s Ghost represents the supernatural apparition of Marley, who has been dead for seven years and symbolizes regret and warning to Scrooge.""Marley\'s Ghost is an unearthly visitor that appears to Scrooge, causing him to question the nature of reality and dreams.""Marley\'s Ghost is the spectral figure of Jacob Marley, who appears to forewarn Scrooge about his fate and the necessity of change in his life.""Marley\'s Ghost is an unearthly visitor that appears to Scrooge, causing him to question the nature of reality and dreams.""Marley\'s Ghost is the spectral figure of Jacob Marley, who appears to forewarn Scrooge about his fate and the necessity of change in his life.""Marley\'s Ghost is an unearthly visitor that appears to Scrooge, causing him to question the nature of reality and dreams.""Marley\'s Ghost is the spectral figure of Jacob Marley, who appears to forewarn Scrooge about his fate and the necessity of change in his life."', 'source_id': 'chunk-c7b10789a9cb0af6c553730b29bd9034chunk-cb661c37436355ccec2769b1d0350c5fchunk-9c43dac2fcd5b578242d907ea6f8fc7bchunk-1aa50206d02ed89418f65f97c6441d1c'}> -2024-10-30 06:04:15,567 - lightrag - INFO - _do_upsert:query: - MERGE (n:`MARLEY'S GHOST`) - SET n += $properties - RETURN n - :result:{'entity_type': '"EVENT"', 'description': '"Marley\'s Ghost is a spectral figure that represents Scrooge\'s past partner who has returned to convey a message, encapsulating themes of guilt and redemption.""Marley\'s Ghost is a spectral figure that represents Scrooge\'s past partner who has returned to convey a message, encapsulating themes of guilt and redemption.""Marley\'s Ghost is a spectral figure that represents Scrooge\'s past partner who has returned to convey a message, encapsulating themes of guilt and redemption.""Marley\'s Ghost is a spectral figure that represents Scrooge\'s past partner who has returned to convey a message, encapsulating themes of guilt and redemption.""Marley\'s Ghost is a spectral figure who appears to Scrooge to warn him of the impending visits from three spirits, representing remorse for his past deeds.""Marley\'s Ghost is a spectral visitation that deeply troubles Scrooge and causes him great perplexity, leading him to question the reality of his experiences.""Marley\'s Ghost represents the supernatural apparition of Marley, who has been dead for seven years and symbolizes regret and warning to Scrooge.""Marley\'s Ghost is an unearthly visitor that appears to Scrooge, causing him to question the nature of reality and dreams.""Marley\'s Ghost is the spectral figure of Jacob Marley, who appears to forewarn Scrooge about his fate and the necessity of change in his life.""Marley\'s Ghost is an unearthly visitor that appears to Scrooge, causing him to question the nature of reality and dreams.""Marley\'s Ghost is the spectral figure of Jacob Marley, who appears to forewarn Scrooge about his fate and the necessity of change in his life.""Marley\'s Ghost is an unearthly visitor that appears to Scrooge, causing him to question the nature of reality and dreams.""Marley\'s Ghost is the spectral figure of Jacob Marley, who appears to forewarn Scrooge about his fate and the necessity of change in his life.""Marley\'s Ghost is an unearthly visitor that appears to Scrooge, causing him to question the nature of reality and dreams.""Marley\'s Ghost is the spectral figure of Jacob Marley, who appears to forewarn Scrooge about his fate and the necessity of change in his life."', 'source_id': 'chunk-1aa50206d02ed89418f65f97c6441d1cchunk-cb661c37436355ccec2769b1d0350c5fchunk-c7b10789a9cb0af6c553730b29bd9034chunk-9c43dac2fcd5b578242d907ea6f8fc7b'} -2024-10-30 06:04:15,699 - lightrag - INFO - get_node:query:MATCH (n:`JACOB MARLEY`) RETURN n:result:"Jacob Marley is Scrooge\'s deceased partner, who appears in spirit to influence Scrooge\'s journey towards redemption.""Jacob Marley is a spirit who influences Scrooge\'s change of heart, representing a connection to Scrooge\'s past and the theme of redemption.""Jacob Marley is the deceased business partner of Scrooge, whose ghost visits him to convey a message about the importance of charity and kindness.""Jacob Marley is the deceased partner of Scrooge who shows concern for Scrooge\'s fate and the importance of change in his life.""Jacob Marley is the ghost of Scrooge\'s former business partner, who foretells the consequences of Scrooge\'s selfishness and warns him to change his ways.""Jacob Marley is the ghost of Scrooge\'s former partner, who appears to warn Scrooge about his fate and the need for change in his life."Jacob Marley is the deceased business partner of Ebenezer Scrooge, who appears as a ghost to convey significant messages about the consequences of a life lived without compassion. He is depicted as wearing chains, which symbolize the burden of his past misdeeds and the regrets that haunt him. Marley plays a crucial role in introducing the spirits that guide Scrooge on his journey toward redemption.\n\nAs a ghost, Jacob Marley warns Scrooge about his impending fate if he continues on his selfish path, highlighting the importance of charity, kindness, and connection to humanity. Through his visitation, Marley seeks to influence Scrooge\'s change of heart by representing both the weight of one\'s past actions and the potential for transformation. His presence serves as a catalyst for Scrooge’s eventual realization of the need for change, compelling him to reflect on his life choices and the impact they have on others.', 'source_id': 'chunk-02baee20cc9463dbe08170a8e1043e32chunk-cb661c37436355ccec2769b1d0350c5fchunk-1aa50206d02ed89418f65f97c6441d1cchunk-91572b3cd42786ba4cb2f180ca25cbf4chunk-da2472b4ef2a535b62908f14d0fb0ca9chunk-90b95db5c53e4364a6bee36b7aa4d70fchunk-359187e7571bda4b0b08b2e0b6581e52'}> -2024-10-30 06:04:15,701 - lightrag - DEBUG - Trigger summary: "JACOB MARLEY" -2024-10-30 06:04:15,799 - lightrag - INFO - get_node:query:MATCH (n:`THE CHAIN`) RETURN n:result:"The Chain symbolizes the burdens of the past that haunt the spirits, showcasing the consequences of one\'s actions in life.""The Chain represents the burdens of greed and the consequences of one\'s actions, worn by Marley\'s Ghost as a physical manifestation of his regrets.""The Chain represents the burdens of regret and guilt that haunt Marley and serve as a warning to Scrooge about the consequences of a life poorly lived.""The Chain represents the burdens of greed and the consequences of one\'s actions, worn by Marley\'s Ghost as a physical manifestation of his regrets.""The Chain represents the burdens of regret and guilt that haunt Marley and serve as a warning to Scrooge about the consequences of a life poorly lived.""The Chain represents the burdens of greed and the consequences of one\'s actions, worn by Marley\'s Ghost as a physical manifestation of his regrets.""The Chain represents the burdens of regret and guilt that haunt Marley and serve as a warning to Scrooge about the consequences of a life poorly lived."', 'source_id': 'chunk-359187e7571bda4b0b08b2e0b6581e52chunk-cb661c37436355ccec2769b1d0350c5fchunk-1aa50206d02ed89418f65f97c6441d1c'}> -2024-10-30 06:04:15,935 - lightrag - INFO - _do_upsert:query: - MERGE (n:`THE CHAIN`) - SET n += $properties - RETURN n - :result:{'entity_type': '"CONCEPT"', 'description': '"The Chain refers to the symbolic burden that Marley carries, representing the consequences of his actions and the remorse that traps him in his spectral form.""The Chain symbolizes the burdens of the past that haunt the spirits, showcasing the consequences of one\'s actions in life.""The Chain represents the burdens of greed and the consequences of one\'s actions, worn by Marley\'s Ghost as a physical manifestation of his regrets.""The Chain represents the burdens of regret and guilt that haunt Marley and serve as a warning to Scrooge about the consequences of a life poorly lived.""The Chain represents the burdens of greed and the consequences of one\'s actions, worn by Marley\'s Ghost as a physical manifestation of his regrets.""The Chain represents the burdens of regret and guilt that haunt Marley and serve as a warning to Scrooge about the consequences of a life poorly lived.""The Chain represents the burdens of greed and the consequences of one\'s actions, worn by Marley\'s Ghost as a physical manifestation of his regrets.""The Chain represents the burdens of regret and guilt that haunt Marley and serve as a warning to Scrooge about the consequences of a life poorly lived.""The Chain represents the burdens of greed and the consequences of one\'s actions, worn by Marley\'s Ghost as a physical manifestation of his regrets.""The Chain represents the burdens of regret and guilt that haunt Marley and serve as a warning to Scrooge about the consequences of a life poorly lived."', 'source_id': 'chunk-1aa50206d02ed89418f65f97c6441d1cchunk-cb661c37436355ccec2769b1d0350c5fchunk-359187e7571bda4b0b08b2e0b6581e52'} -2024-10-30 06:04:16,070 - lightrag - INFO - get_node:query:MATCH (n:`THE HEAVY DOOR`) RETURN n:result:"The Heavy Door symbolizes the threshold between life and death, as well as the barriers between Scrooge and the supernatural world.""The Heavy Door symbolizes the threshold between life and death, as well as the barriers between Scrooge and the supernatural world.""The heavy door is a physical boundary encountered by Scrooge, marking the transition between the ordinary world and the supernatural visitation."', 'source_id': 'chunk-1aa50206d02ed89418f65f97c6441d1c'}> -2024-10-30 06:04:16,205 - lightrag - INFO - _do_upsert:query: - MERGE (n:`THE HEAVY DOOR`) - SET n += $properties - RETURN n - :result:{'entity_type': '"CONCEPT"', 'description': '"The Heavy Door symbolizes the threshold between life and death, as well as the barriers between Scrooge and the supernatural world.""The Heavy Door symbolizes the threshold between life and death, as well as the barriers between Scrooge and the supernatural world.""The Heavy Door symbolizes the threshold between life and death, as well as the barriers between Scrooge and the supernatural world.""The Heavy Door symbolizes the threshold between life and death, as well as the barriers between Scrooge and the supernatural world.""The heavy door is a physical boundary encountered by Scrooge, marking the transition between the ordinary world and the supernatural visitation."', 'source_id': 'chunk-1aa50206d02ed89418f65f97c6441d1c'} -2024-10-30 06:04:16,337 - lightrag - INFO - get_node:query:MATCH (n:`THE SPECTRE`) RETURN n:result: -2024-10-30 06:04:16,475 - lightrag - INFO - _do_upsert:query: - MERGE (n:`THE SPECTRE`) - SET n += $properties - RETURN n - :result:{'entity_type': '"CONCEPT"', 'description': '"The Spectre refers to the ghostly presence of Marley that embodies the themes of haunting and reflection on one\'s life choices."', 'source_id': 'chunk-1aa50206d02ed89418f65f97c6441d1c'} -2024-10-30 06:04:16,605 - lightrag - INFO - get_node:query:MATCH (n:`INFERNAL ATMOSPHERE`) RETURN n:result: -2024-10-30 06:04:16,739 - lightrag - INFO - _do_upsert:query: - MERGE (n:`INFERNAL ATMOSPHERE`) - SET n += $properties - RETURN n - :result:{'entity_type': '"CONCEPT"', 'description': '"The Infernal Atmosphere refers to the unsettling environment surrounding Marley\'s Ghost, indicating the discomfort and fear associated with his presence."', 'source_id': 'chunk-1aa50206d02ed89418f65f97c6441d1c'} -2024-10-30 06:04:16,870 - lightrag - INFO - get_node:query:MATCH (n:`THE CHAIR`) RETURN n:result: -2024-10-30 06:04:17,007 - lightrag - INFO - _do_upsert:query: - MERGE (n:`THE CHAIR`) - SET n += $properties - RETURN n - :result:{'entity_type': '"CONCEPT"', 'description': '"The Chair represents the symbol of comfort and safety that Scrooge clings to while facing the terrifying apparition."', 'source_id': 'chunk-1aa50206d02ed89418f65f97c6441d1c'} -2024-10-30 06:04:17,135 - lightrag - INFO - get_node:query:MATCH (n:`THE VISION`) RETURN n:result: -2024-10-30 06:04:17,270 - lightrag - INFO - _do_upsert:query: - MERGE (n:`THE VISION`) - SET n += $properties - RETURN n - :result:{'entity_type': '"CONCEPT"', 'description': '"The Vision refers to the haunting imagery that Scrooge perceives, reflecting his inner turmoil and conflict with reality."', 'source_id': 'chunk-1aa50206d02ed89418f65f97c6441d1c'} -2024-10-30 06:04:17,397 - lightrag - INFO - get_node:query:MATCH (n:`THE BANDAGE`) RETURN n:result:"The Bandage represents the ghost\'s attempt to maintain semblance in his appearance while revealing his true ghostly form.""The Bandage represents the ghost\'s attempt to maintain semblance in his appearance while revealing his true ghostly form.""The bandage is an item used by the ghost, symbolizing decay and the remnants of Marley’s struggle with his own existence post-death."', 'source_id': 'chunk-1aa50206d02ed89418f65f97c6441d1c'}> -2024-10-30 06:04:17,534 - lightrag - INFO - _do_upsert:query: - MERGE (n:`THE BANDAGE`) - SET n += $properties - RETURN n - :result:{'entity_type': '"CONCEPT"', 'description': '"The Bandage represents the ghost\'s attempt to maintain semblance in his appearance while revealing his true ghostly form.""The Bandage represents the ghost\'s attempt to maintain semblance in his appearance while revealing his true ghostly form.""The Bandage represents the ghost\'s attempt to maintain semblance in his appearance while revealing his true ghostly form.""The Bandage represents the ghost\'s attempt to maintain semblance in his appearance while revealing his true ghostly form.""The bandage is an item used by the ghost, symbolizing decay and the remnants of Marley’s struggle with his own existence post-death."', 'source_id': 'chunk-1aa50206d02ed89418f65f97c6441d1c'} -2024-10-30 06:04:17,668 - lightrag - INFO - get_node:query:MATCH (n:`GHOST`) RETURN n:result:"The Ghost refers to the spirit guiding Scrooge, embodying the themes of memory and reflection on the joys of Christmas.""The Ghost represents a spiritual guide that takes Scrooge on a journey to learn important lessons about compassion and humanity.""The Ghost serves as a supernatural guide for Scrooge, prompting him to reflect on his life and choices.""The Ghost is the spirit of Jacob Marley, who expresses remorse for his life and warns Scrooge about the consequences of ignoring his moral duties.""The Ghost is the spirit of Jacob Marley, who expresses remorse for his life and warns Scrooge about the consequences of ignoring his moral duties.""The Ghost is the spirit of Jacob Marley, who expresses remorse for his life and warns Scrooge about the consequences of ignoring his moral duties."', 'source_id': 'chunk-e7637ff18c5ded77a68cce0a87883fadchunk-c6c248858d1b13ab7ee9ca13c1aeed6bchunk-43c9bee23adfa77aa9dedd22401bba7dchunk-503f0bfa5453467c7c61d160a3540ecachunk-359187e7571bda4b0b08b2e0b6581e52'}> -2024-10-30 06:04:17,801 - lightrag - INFO - _do_upsert:query: - MERGE (n:`GHOST`) - SET n += $properties - RETURN n - :result:{'entity_type': '"PERSON"', 'description': '"The Ghost is a supernatural entity that provides guidance and reflection on Scrooge\'s past, representing moral and societal themes.""The Ghost refers to the spirit guiding Scrooge, embodying the themes of memory and reflection on the joys of Christmas.""The Ghost represents a spiritual guide that takes Scrooge on a journey to learn important lessons about compassion and humanity.""The Ghost serves as a supernatural guide for Scrooge, prompting him to reflect on his life and choices.""The Ghost is the spirit of Jacob Marley, who expresses remorse for his life and warns Scrooge about the consequences of ignoring his moral duties.""The Ghost is the spirit of Jacob Marley, who expresses remorse for his life and warns Scrooge about the consequences of ignoring his moral duties.""The Ghost is the spirit of Jacob Marley, who expresses remorse for his life and warns Scrooge about the consequences of ignoring his moral duties.""The Ghost is the spirit of Jacob Marley, who expresses remorse for his life and warns Scrooge about the consequences of ignoring his moral duties."', 'source_id': 'chunk-e7637ff18c5ded77a68cce0a87883fadchunk-503f0bfa5453467c7c61d160a3540ecachunk-359187e7571bda4b0b08b2e0b6581e52chunk-43c9bee23adfa77aa9dedd22401bba7dchunk-c6c248858d1b13ab7ee9ca13c1aeed6b'} -2024-10-30 06:04:17,933 - lightrag - INFO - get_node:query:MATCH (n:`CHRISTMAS EVES`) RETURN n:result:"Christmas Eves refer to the time periods associated with the spirits\' visits, specifically connecting to themes of reflection and redemption during the festive season.""Christmas Eves refer to the time periods associated with the spirits\' visits, specifically connecting to themes of reflection and redemption during the festive season.""Christmas Eves refers to the recurring time periods that Marley reflects upon, indicating the weight of his past decisions leading to regret."', 'source_id': 'chunk-359187e7571bda4b0b08b2e0b6581e52'}> -2024-10-30 06:04:18,068 - lightrag - INFO - _do_upsert:query: - MERGE (n:`CHRISTMAS EVES`) - SET n += $properties - RETURN n - :result:{'entity_type': '"EVENT"', 'description': '"Christmas Eves refer to the time periods associated with the spirits\' visits, specifically connecting to themes of reflection and redemption during the festive season.""Christmas Eves refer to the time periods associated with the spirits\' visits, specifically connecting to themes of reflection and redemption during the festive season.""Christmas Eves refer to the time periods associated with the spirits\' visits, specifically connecting to themes of reflection and redemption during the festive season.""Christmas Eves refer to the time periods associated with the spirits\' visits, specifically connecting to themes of reflection and redemption during the festive season.""Christmas Eves refers to the recurring time periods that Marley reflects upon, indicating the weight of his past decisions leading to regret."', 'source_id': 'chunk-359187e7571bda4b0b08b2e0b6581e52'} -2024-10-30 06:04:18,200 - lightrag - INFO - get_node:query:MATCH (n:`MANKIND`) RETURN n:result:"Mankind is referenced as a significant concern that should have been the focus of Scrooge\'s life, highlighting the importance of universal compassion and care.""Mankind is referenced as a significant concern that should have been the focus of Scrooge\'s life, highlighting the importance of universal compassion and care.""Mankind signifies the broader human community, which Marley claims should be the focus of compassionate effort rather than mere business pursuits."', 'source_id': 'chunk-359187e7571bda4b0b08b2e0b6581e52'}> -2024-10-30 06:04:18,355 - lightrag - INFO - _do_upsert:query: - MERGE (n:`MANKIND`) - SET n += $properties - RETURN n - :result:{'entity_type': '"CONCEPT"', 'description': '"Mankind is referenced as a significant concern that should have been the focus of Scrooge\'s life, highlighting the importance of universal compassion and care.""Mankind is referenced as a significant concern that should have been the focus of Scrooge\'s life, highlighting the importance of universal compassion and care.""Mankind is referenced as a significant concern that should have been the focus of Scrooge\'s life, highlighting the importance of universal compassion and care.""Mankind is referenced as a significant concern that should have been the focus of Scrooge\'s life, highlighting the importance of universal compassion and care.""Mankind signifies the broader human community, which Marley claims should be the focus of compassionate effort rather than mere business pursuits."', 'source_id': 'chunk-359187e7571bda4b0b08b2e0b6581e52'} -2024-10-30 06:04:18,485 - lightrag - INFO - get_node:query:MATCH (n:`ETERNAL CHAIN`) RETURN n:result: -2024-10-30 06:04:18,621 - lightrag - INFO - _do_upsert:query: - MERGE (n:`ETERNAL CHAIN`) - SET n += $properties - RETURN n - :result:{'entity_type': '"CONCEPT"', 'description': '"The Eternal Chain represents the burdens and consequences of one\'s actions in life, symbolizing the weight of regret carried by the Ghost."', 'source_id': 'chunk-359187e7571bda4b0b08b2e0b6581e52'} -2024-10-30 06:04:18,751 - lightrag - INFO - get_node:query:MATCH (n:`STAR`) RETURN n:result: -2024-10-30 06:04:18,887 - lightrag - INFO - _do_upsert:query: - MERGE (n:`STAR`) - SET n += $properties - RETURN n - :result:{'entity_type': '"GEO"', 'description': '"The Star symbolizes guidance and hope, referenced in connection with the Wise Men, representing the potential for enlightenment and moral direction."', 'source_id': 'chunk-359187e7571bda4b0b08b2e0b6581e52'} -2024-10-30 06:04:19,017 - lightrag - INFO - get_node:query:MATCH (n:`WISE MEN`) RETURN n:result: -2024-10-30 06:04:19,151 - lightrag - INFO - _do_upsert:query: - MERGE (n:`WISE MEN`) - SET n += $properties - RETURN n - :result:{'entity_type': '"PERSON"', 'description': '"The Wise Men are figures who followed the Star to bring gifts, embodying the values of recognition and generosity that Scrooge has neglected."', 'source_id': 'chunk-359187e7571bda4b0b08b2e0b6581e52'} -2024-10-30 06:04:19,283 - lightrag - INFO - get_node:query:MATCH (n:`FELLOW-BEINGS`) RETURN n:result: -2024-10-30 06:04:19,418 - lightrag - INFO - _do_upsert:query: - MERGE (n:`FELLOW-BEINGS`) - SET n += $properties - RETURN n - :result:{'entity_type': '"CONCEPT"', 'description': '"Fellow-beings are the people whom Scrooge ignored in life, representing the importance of community and connection."', 'source_id': 'chunk-359187e7571bda4b0b08b2e0b6581e52'} -2024-10-30 06:04:19,547 - lightrag - INFO - get_node:query:MATCH (n:`CHRISTMAS SPIRIT`) RETURN n:result: -2024-10-30 06:04:19,680 - lightrag - INFO - _do_upsert:query: - MERGE (n:`CHRISTMAS SPIRIT`) - SET n += $properties - RETURN n - :result:{'entity_type': '"CONCEPT"', 'description': '"The Christmas Spirit represents the ideals of generosity and kindness associated with the holiday season, which the Ghost encourages Scrooge to embrace."', 'source_id': 'chunk-359187e7571bda4b0b08b2e0b6581e52'} -2024-10-30 06:04:19,809 - lightrag - INFO - get_node:query:MATCH (n:`SPECTRE`) RETURN n:result: -2024-10-30 06:04:19,944 - lightrag - INFO - _do_upsert:query: - MERGE (n:`SPECTRE`) - SET n += $properties - RETURN n - :result:{'entity_type': '"PERSON"', 'description': '"The Spectre is another term for the Ghost, representing a manifestation of guilt and the need for change in Scrooge\'s life."', 'source_id': 'chunk-359187e7571bda4b0b08b2e0b6581e52'} -2024-10-30 06:04:20,072 - lightrag - INFO - get_node:query:MATCH (n:`THE THREE SPIRITS`) RETURN n:result:"The Three Spirits are the apparitions that Jacob Marley warns Scrooge about, who will visit him to guide him toward redemption.""The Three Spirits are the apparitions that Jacob Marley warns Scrooge about, who will visit him to guide him toward redemption.""The Three Spirits refer to the supernatural beings that are prophesied to visit Scrooge, each representing different aspects of time and morality."', 'source_id': 'chunk-cb661c37436355ccec2769b1d0350c5f'}> -2024-10-30 06:04:20,206 - lightrag - INFO - _do_upsert:query: - MERGE (n:`THE THREE SPIRITS`) - SET n += $properties - RETURN n - :result:{'entity_type': '"EVENT"', 'description': '"The Three Spirits are the apparitions that Jacob Marley warns Scrooge about, who will visit him to guide him toward redemption.""The Three Spirits are the apparitions that Jacob Marley warns Scrooge about, who will visit him to guide him toward redemption.""The Three Spirits are the apparitions that Jacob Marley warns Scrooge about, who will visit him to guide him toward redemption.""The Three Spirits are the apparitions that Jacob Marley warns Scrooge about, who will visit him to guide him toward redemption.""The Three Spirits refer to the supernatural beings that are prophesied to visit Scrooge, each representing different aspects of time and morality."', 'source_id': 'chunk-cb661c37436355ccec2769b1d0350c5f'} -2024-10-30 06:04:20,335 - lightrag - INFO - get_node:query:MATCH (n:`THE PHANTOM VOICES`) RETURN n:result: -2024-10-30 06:04:20,471 - lightrag - INFO - _do_upsert:query: - MERGE (n:`THE PHANTOM VOICES`) - SET n += $properties - RETURN n - :result:{'entity_type': '"EVENT"', 'description': '"The Phantom Voices refer to the sorrowful sounds of lamentation that Scrooge hears as the apparitions wander, representing lost opportunities and regret."', 'source_id': 'chunk-cb661c37436355ccec2769b1d0350c5f'} -2024-10-30 06:04:20,602 - lightrag - INFO - get_node:query:MATCH (n:`THE WINDOW`) RETURN n:result:"The Window is a physical presence in Scrooge\'s chamber that he approaches to observe the supernatural occurrences outside.""The Window is a physical presence in Scrooge\'s chamber that he approaches to observe the supernatural occurrences outside.""The Window represents a threshold between the visible and invisible worlds, allowing Scrooge a view into the realm of spirits and their lamentations."', 'source_id': 'chunk-cb661c37436355ccec2769b1d0350c5f'}> -2024-10-30 06:04:20,731 - lightrag - INFO - _do_upsert:query: - MERGE (n:`THE WINDOW`) - SET n += $properties - RETURN n - :result:{'entity_type': '"GEO"', 'description': '"The Window is a physical presence in Scrooge\'s chamber that he approaches to observe the supernatural occurrences outside.""The Window is a physical presence in Scrooge\'s chamber that he approaches to observe the supernatural occurrences outside.""The Window is a physical presence in Scrooge\'s chamber that he approaches to observe the supernatural occurrences outside.""The Window is a physical presence in Scrooge\'s chamber that he approaches to observe the supernatural occurrences outside.""The Window represents a threshold between the visible and invisible worlds, allowing Scrooge a view into the realm of spirits and their lamentations."', 'source_id': 'chunk-cb661c37436355ccec2769b1d0350c5f'} -2024-10-30 06:04:20,861 - lightrag - INFO - get_node:query:MATCH (n:`THE CLOCK`) RETURN n:result:"The Clock is mentioned as malfunctioning, which symbolizes the confusion and distortion of time that Scrooge experiences during his nighttime visitations.""The Clock serves as a symbol of time passing, reflecting Scrooge\'s disorientation regarding time as he transitions between reality and the supernatural.""The Clock signifies the passage of time during the Domestic Ball and plays a role in marking the end of the celebration.""The Clock serves as a symbol of time passing, reflecting Scrooge\'s disorientation regarding time as he transitions between reality and the supernatural.""The Clock signifies the passage of time during the Domestic Ball and plays a role in marking the end of the celebration.""The Clock serves as a symbol of time passing, reflecting Scrooge\'s disorientation regarding time as he transitions between reality and the supernatural.""The Clock signifies the passage of time during the Domestic Ball and plays a role in marking the end of the celebration."', 'source_id': 'chunk-c7b10789a9cb0af6c553730b29bd9034chunk-cb661c37436355ccec2769b1d0350c5fchunk-b2f98bc7abb0c67d4c86055c7fd72218'}> -2024-10-30 06:04:20,996 - lightrag - INFO - _do_upsert:query: - MERGE (n:`THE CLOCK`) - SET n += $properties - RETURN n - :result:{'entity_type': '"GEO"', 'description': '"The Clock is a device that malfunctions, contributing to Scrooge\'s confusion about time and reality in the narrative.""The Clock is mentioned as malfunctioning, which symbolizes the confusion and distortion of time that Scrooge experiences during his nighttime visitations.""The Clock serves as a symbol of time passing, reflecting Scrooge\'s disorientation regarding time as he transitions between reality and the supernatural.""The Clock signifies the passage of time during the Domestic Ball and plays a role in marking the end of the celebration.""The Clock serves as a symbol of time passing, reflecting Scrooge\'s disorientation regarding time as he transitions between reality and the supernatural.""The Clock signifies the passage of time during the Domestic Ball and plays a role in marking the end of the celebration.""The Clock serves as a symbol of time passing, reflecting Scrooge\'s disorientation regarding time as he transitions between reality and the supernatural.""The Clock signifies the passage of time during the Domestic Ball and plays a role in marking the end of the celebration.""The Clock serves as a symbol of time passing, reflecting Scrooge\'s disorientation regarding time as he transitions between reality and the supernatural.""The Clock signifies the passage of time during the Domestic Ball and plays a role in marking the end of the celebration."', 'source_id': 'chunk-cb661c37436355ccec2769b1d0350c5fchunk-c7b10789a9cb0af6c553730b29bd9034chunk-b2f98bc7abb0c67d4c86055c7fd72218'} -2024-10-30 06:04:21,127 - lightrag - INFO - get_node:query:MATCH (n:`THE DARKNESS`) RETURN n:result:"The Darkness symbolizes the confusion and the unknown that envelops Scrooge as he faces the reality of his past, present, and future.""The Darkness symbolizes the confusion and the unknown that envelops Scrooge as he faces the reality of his past, present, and future.""The Darkness symbolizes the confusion and the unknown that envelops Scrooge as he faces the reality of his past, present, and future."', 'source_id': 'chunk-cb661c37436355ccec2769b1d0350c5f'}> -2024-10-30 06:04:21,265 - lightrag - INFO - _do_upsert:query: - MERGE (n:`THE DARKNESS`) - SET n += $properties - RETURN n - :result:{'entity_type': '"CONCEPT"', 'description': '"The Darkness refers to the absence of light, signifying uncertainty and fear in Scrooge\'s transformation journey.""The Darkness symbolizes the confusion and the unknown that envelops Scrooge as he faces the reality of his past, present, and future.""The Darkness symbolizes the confusion and the unknown that envelops Scrooge as he faces the reality of his past, present, and future.""The Darkness symbolizes the confusion and the unknown that envelops Scrooge as he faces the reality of his past, present, and future.""The Darkness symbolizes the confusion and the unknown that envelops Scrooge as he faces the reality of his past, present, and future."', 'source_id': 'chunk-cb661c37436355ccec2769b1d0350c5f'} -2024-10-30 06:04:21,402 - lightrag - INFO - get_node:query:MATCH (n:`CLOCK`) RETURN n:result: -2024-10-30 06:04:21,540 - lightrag - INFO - _do_upsert:query: - MERGE (n:`CLOCK`) - SET n += $properties - RETURN n - :result:{'entity_type': '"ORGANIZATION"', 'description': '"The Clock symbolizes the passage of time and plays a pivotal role in establishing the moments of Scrooge\'s experience with the Ghost."', 'source_id': 'chunk-c7b10789a9cb0af6c553730b29bd9034'} -2024-10-30 06:04:21,670 - lightrag - INFO - get_node:query:MATCH (n:`HOLLY`) RETURN n:result:"Holly is a plant associated with Christmas, mentioned among other decorations that contribute to the festive atmosphere.""Holly is a symbol held by The Ghost, representing peace and goodwill, contrasting with the cold wintry atmosphere around Scrooge.""Holly is mentioned as part of the traditional decorations associated with Christmas, symbolizing festivity.""Holly represents a traditional decoration associated with Christmas, symbolizing festivity and the presence of the Christmas spirit.""Holly is a symbol held by The Ghost, representing peace and goodwill, contrasting with the cold wintry atmosphere around Scrooge.""Holly is mentioned as part of the traditional decorations associated with Christmas, symbolizing festivity.""Holly represents a traditional decoration associated with Christmas, symbolizing festivity and the presence of the Christmas spirit.""Holly is a symbol held by The Ghost, representing peace and goodwill, contrasting with the cold wintry atmosphere around Scrooge.""Holly is mentioned as part of the traditional decorations associated with Christmas, symbolizing festivity.""Holly represents a traditional decoration associated with Christmas, symbolizing festivity and the presence of the Christmas spirit."', 'source_id': 'chunk-c7b10789a9cb0af6c553730b29bd9034chunk-843b5b2f944c7413d9ca876e2e2f151fchunk-99b0ec7f7e006561352b5d65e849611d'}> -2024-10-30 06:04:21,809 - lightrag - INFO - _do_upsert:query: - MERGE (n:`HOLLY`) - SET n += $properties - RETURN n - :result:{'entity_type': '"ORGANIZATION"', 'description': '"Holly is a plant associated with Christmas, featured prominently in the Spirit\'s attire, symbolizing joy and celebration during the festive season.""Holly is a plant associated with Christmas, mentioned among other decorations that contribute to the festive atmosphere.""Holly is a symbol held by The Ghost, representing peace and goodwill, contrasting with the cold wintry atmosphere around Scrooge.""Holly is mentioned as part of the traditional decorations associated with Christmas, symbolizing festivity.""Holly represents a traditional decoration associated with Christmas, symbolizing festivity and the presence of the Christmas spirit.""Holly is a symbol held by The Ghost, representing peace and goodwill, contrasting with the cold wintry atmosphere around Scrooge.""Holly is mentioned as part of the traditional decorations associated with Christmas, symbolizing festivity.""Holly represents a traditional decoration associated with Christmas, symbolizing festivity and the presence of the Christmas spirit.""Holly is a symbol held by The Ghost, representing peace and goodwill, contrasting with the cold wintry atmosphere around Scrooge.""Holly is mentioned as part of the traditional decorations associated with Christmas, symbolizing festivity.""Holly represents a traditional decoration associated with Christmas, symbolizing festivity and the presence of the Christmas spirit.""Holly is a symbol held by The Ghost, representing peace and goodwill, contrasting with the cold wintry atmosphere around Scrooge.""Holly is mentioned as part of the traditional decorations associated with Christmas, symbolizing festivity.""Holly represents a traditional decoration associated with Christmas, symbolizing festivity and the presence of the Christmas spirit."', 'source_id': 'chunk-843b5b2f944c7413d9ca876e2e2f151fchunk-c7b10789a9cb0af6c553730b29bd9034chunk-99b0ec7f7e006561352b5d65e849611d'} -2024-10-30 06:04:21,941 - lightrag - INFO - get_node:query:MATCH (n:`LIGHT`) RETURN n:result:"Light is a prominent feature associated with The Ghost, symbolizing knowledge and revelation, illuminating the darkness of Scrooge\'s ignorance.""Light is a prominent feature associated with The Ghost, symbolizing knowledge and revelation, illuminating the darkness of Scrooge\'s ignorance.""Light is a prominent feature associated with The Ghost, symbolizing knowledge and revelation, illuminating the darkness of Scrooge\'s ignorance."', 'source_id': 'chunk-c7b10789a9cb0af6c553730b29bd9034'}> -2024-10-30 06:04:22,075 - lightrag - INFO - _do_upsert:query: - MERGE (n:`LIGHT`) - SET n += $properties - RETURN n - :result:{'entity_type': '"CONCEPT"', 'description': '"Light emanates from The Visitor, symbolizing clarity, revelation, and the supernatural, contrasting with the darkness around Scrooge\'s situation.""Light is a prominent feature associated with The Ghost, symbolizing knowledge and revelation, illuminating the darkness of Scrooge\'s ignorance.""Light is a prominent feature associated with The Ghost, symbolizing knowledge and revelation, illuminating the darkness of Scrooge\'s ignorance.""Light is a prominent feature associated with The Ghost, symbolizing knowledge and revelation, illuminating the darkness of Scrooge\'s ignorance.""Light is a prominent feature associated with The Ghost, symbolizing knowledge and revelation, illuminating the darkness of Scrooge\'s ignorance."', 'source_id': 'chunk-c7b10789a9cb0af6c553730b29bd9034'} -2024-10-30 06:04:22,203 - lightrag - INFO - get_node:query:MATCH (n:`WINTER`) RETURN n:result: -2024-10-30 06:04:22,338 - lightrag - INFO - _do_upsert:query: - MERGE (n:`WINTER`) - SET n += $properties - RETURN n - :result:{'entity_type': '"GEO"', 'description': '"Winter represents the cold and bleak environment that surrounds Scrooge during his nighttime encounters with the supernatural."', 'source_id': 'chunk-c7b10789a9cb0af6c553730b29bd9034'} -2024-10-30 06:04:22,467 - lightrag - INFO - get_node:query:MATCH (n:`THE DRESSING-GOWN`) RETURN n:result:"The Dressing-Gown is worn by Scrooge, symbolizing his state of vulnerability and introspection as he grapples with profound ideas in the narrative.""The Dressing-Gown is worn by Scrooge, symbolizing his state of vulnerability and introspection as he grapples with profound ideas in the narrative.""The Dressing-Gown is worn by Scrooge, symbolizing his state of vulnerability and introspection as he grapples with profound ideas in the narrative."', 'source_id': 'chunk-c7b10789a9cb0af6c553730b29bd9034chunk-9c43dac2fcd5b578242d907ea6f8fc7b'}> -2024-10-30 06:04:22,601 - lightrag - INFO - _do_upsert:query: - MERGE (n:`THE DRESSING-GOWN`) - SET n += $properties - RETURN n - :result:{'entity_type': '"ORGANIZATION"', 'description': '"The Dressing-Gown is worn by Scrooge, illustrating his solitary, night-time routine and emphasizing his isolation.""The Dressing-Gown is worn by Scrooge, symbolizing his state of vulnerability and introspection as he grapples with profound ideas in the narrative.""The Dressing-Gown is worn by Scrooge, symbolizing his state of vulnerability and introspection as he grapples with profound ideas in the narrative.""The Dressing-Gown is worn by Scrooge, symbolizing his state of vulnerability and introspection as he grapples with profound ideas in the narrative.""The Dressing-Gown is worn by Scrooge, symbolizing his state of vulnerability and introspection as he grapples with profound ideas in the narrative."', 'source_id': 'chunk-9c43dac2fcd5b578242d907ea6f8fc7bchunk-c7b10789a9cb0af6c553730b29bd9034'} -2024-10-30 06:04:22,732 - lightrag - INFO - get_node:query:MATCH (n:`TUNIC`) RETURN n:result: -2024-10-30 06:04:22,866 - lightrag - INFO - _do_upsert:query: - MERGE (n:`TUNIC`) - SET n += $properties - RETURN n - :result:{'entity_type': '"CONCEPT"', 'description': '"The Tunic is part of The Ghost\'s attire, signifying purity and heavenly qualities in contrast to Scrooge\'s current state."', 'source_id': 'chunk-c7b10789a9cb0af6c553730b29bd9034'} -2024-10-30 06:04:22,996 - lightrag - INFO - get_node:query:MATCH (n:`BELL`) RETURN n:result: -2024-10-30 06:04:23,130 - lightrag - INFO - _do_upsert:query: - MERGE (n:`BELL`) - SET n += $properties - RETURN n - :result:{'entity_type': '"EVENT"', 'description': '"The Bell signifies the passage of time and is crucial in alerting Scrooge to the hour of visitation by The Ghost."', 'source_id': 'chunk-c7b10789a9cb0af6c553730b29bd9034'} -2024-10-30 06:04:23,261 - lightrag - INFO - get_node:query:MATCH (n:`CLOCK'S STRIKE`) RETURN n:result: -2024-10-30 06:04:23,396 - lightrag - INFO - _do_upsert:query: - MERGE (n:`CLOCK'S STRIKE`) - SET n += $properties - RETURN n - :result:{'entity_type': '"EVENT"', 'description': '"The Clock\'s Strike is an event marking significant moments throughout the narrative, emphasizing the theme of time."', 'source_id': 'chunk-c7b10789a9cb0af6c553730b29bd9034'} -2024-10-30 06:04:23,526 - lightrag - INFO - get_node:query:MATCH (n:`DREAM`) RETURN n:result:"Dream refers to Scrooge\'s mental conflict regarding whether the spectral encounters are real or figments of his imagination.""Dream refers to Scrooge\'s mental conflict regarding whether the spectral encounters are real or figments of his imagination.""Dream refers to the possibility that Scrooge\'s experiences are a figment of his imagination, reflecting his internal struggle with reality and perception."', 'source_id': 'chunk-c7b10789a9cb0af6c553730b29bd9034'}> -2024-10-30 06:04:23,663 - lightrag - INFO - _do_upsert:query: - MERGE (n:`DREAM`) - SET n += $properties - RETURN n - :result:{'entity_type': '"CONCEPT"', 'description': '"Dream refers to Scrooge\'s mental conflict regarding whether the spectral encounters are real or figments of his imagination.""Dream refers to Scrooge\'s mental conflict regarding whether the spectral encounters are real or figments of his imagination.""Dream refers to Scrooge\'s mental conflict regarding whether the spectral encounters are real or figments of his imagination.""Dream refers to Scrooge\'s mental conflict regarding whether the spectral encounters are real or figments of his imagination.""Dream refers to the possibility that Scrooge\'s experiences are a figment of his imagination, reflecting his internal struggle with reality and perception."', 'source_id': 'chunk-c7b10789a9cb0af6c553730b29bd9034'} -2024-10-30 06:04:23,794 - lightrag - INFO - get_node:query:MATCH (n:`DING DONG`) RETURN n:result: -2024-10-30 06:04:23,926 - lightrag - INFO - _do_upsert:query: - MERGE (n:`DING DONG`) - SET n += $properties - RETURN n - :result:{'entity_type': '"EVENT"', 'description': '"Ding Dong represents the sound of the clock chimes, anchoring the reader in time and emphasizing the moments of realization for Scrooge."', 'source_id': 'chunk-c7b10789a9cb0af6c553730b29bd9034'} -2024-10-30 06:04:24,053 - lightrag - INFO - get_node:query:MATCH (n:`TIME`) RETURN n:result: -2024-10-30 06:04:24,191 - lightrag - INFO - _do_upsert:query: - MERGE (n:`TIME`) - SET n += $properties - RETURN n - :result:{'entity_type': '"CONCEPT"', 'description': '"Time is a central theme, with characters reflecting on its passage and significance in relation to life and revelations."', 'source_id': 'chunk-c7b10789a9cb0af6c553730b29bd9034'} -2024-10-30 06:04:24,321 - lightrag - INFO - get_node:query:MATCH (n:`THE SPIRIT`) RETURN n:result:chunk-91614df5cb74cbe5e109a338a82041e9chunk-19d72c57ae3408758b18d2568e86dc6bchunk-91572b3cd42786ba4cb2f180ca25cbf4chunk-bb21d58d36c6306fd8810ddd51c4a971chunk-b2f98bc7abb0c67d4c86055c7fd72218chunk-e1f29eeadc1d8ab46dc8a0bbd3c56b64chunk-503f0bfa5453467c7c61d160a3540ecachunk-43c9bee23adfa77aa9dedd22401bba7dchunk-da2472b4ef2a535b62908f14d0fb0ca9chunk-f1a4fbcf1ed86864b9bfd5e8dba4c683chunk-b0f459f5af1c3a5e0b92cbe4ee48b77b'}> -2024-10-30 06:04:24,459 - lightrag - INFO - _do_upsert:query: - MERGE (n:`THE SPIRIT`) - SET n += $properties - RETURN n - :result:{'entity_type': '"ORGANIZATION"', 'description': '"The Spirit is a supernatural entity guiding Scrooge through various scenarios, pushing him towards reflection and change.""The Spirit is portrayed as a phantom guiding Scrooge, representing the moral and existential queries of his life.""The Spirit refers to a ghostly figure guiding Scrooge through his memories, playing a vital role in his transformation.""The Spirit refers to the Ghost of Christmas Present, who observes and interacts with the gathering, influencing Scrooge\'s emotional journey.""The Spirit refers to the ghostly apparitions that guide Scrooge through his reflections on life, past, present, and future.""The Spirit refers to the moral lesson embodied by the Ghost that visits Scrooge, emphasizing compassion and the value of life.""The Spirit represents a guiding force encouraging Scrooge to introspect on his past and recognize the value of happiness.""The Spirit represents a supernatural presence that influences the mood of Christmas, promoting generosity and mirth during the holiday season.""The Spirit represents the collective essence of the Christmas spirits, signifying guidance, memory, and influence over personal transformation.""The Spirit serves as a guiding force in the narrative, helping Scrooge understand his history and the impact of his actions.""The Spirit" is a multifaceted supernatural entity guiding Ebenezer Scrooge through a transformative journey during the Christmas season. It is portrayed as a ghostly figure, encompassing the Ghost of Christmas Present and the Ghost of Christmas Past, and serves to illuminate various themes including joy, generosity, and moral introspection. Throughout the narrative, The Spirit influences Scrooge\'s emotional journey, encouraging him to reflect on his past and understand the consequences of his actions.\n\nAs a guiding force, The Spirit prompts Scrooge to engage deeply with his memories, helping him realize the value of happiness and the importance of compassion and community in life. It plays a critical role in shaping the atmosphere of Christmas, promoting an environment filled with cheer and mirth as it leads Scrooge through moments of reflection and revelry. \n\nBy embodying the collective essence of the Christmas spirits, The Spirit acts as a moral compass for Scrooge, pushing him towards meaningful change and a reevaluation of his life choices. Ultimately, The Spirit serves as both a supernatural guide and an emotional influence, signifying the profound impact of reflection, memory, and personal transformation during the holiday season.', 'source_id': 'chunk-8590d9263cd2cd4fa583c432fc54e6c3chunk-b0f459f5af1c3a5e0b92cbe4ee48b77bchunk-da2472b4ef2a535b62908f14d0fb0ca9chunk-e1f29eeadc1d8ab46dc8a0bbd3c56b64chunk-91614df5cb74cbe5e109a338a82041e9chunk-503f0bfa5453467c7c61d160a3540ecachunk-19d72c57ae3408758b18d2568e86dc6bchunk-91572b3cd42786ba4cb2f180ca25cbf4chunk-bb21d58d36c6306fd8810ddd51c4a971chunk-f1a4fbcf1ed86864b9bfd5e8dba4c683chunk-43c9bee23adfa77aa9dedd22401bba7dchunk-b2f98bc7abb0c67d4c86055c7fd72218'} -2024-10-30 06:04:24,595 - lightrag - INFO - get_node:query:MATCH (n:`WINTER DAY`) RETURN n:result:"The winter day serves as the setting for Scrooge\'s journey with the Ghost, representing a time for reflection and nostalgia.""The winter day serves as the setting for Scrooge\'s journey with the Ghost, representing a time for reflection and nostalgia.""The winter day serves as the setting for Scrooge\'s journey with the Ghost, representing a time for reflection and nostalgia."', 'source_id': 'chunk-bb21d58d36c6306fd8810ddd51c4a971'}> -2024-10-30 06:04:24,728 - lightrag - INFO - _do_upsert:query: - MERGE (n:`WINTER DAY`) - SET n += $properties - RETURN n - :result:{'entity_type': '"EVENT"', 'description': '"The Winter Day signifies the seasonal setting during Scrooge\'s journey through his memories, highlighting a clear, cold atmosphere filled with nostalgia.""The winter day serves as the setting for Scrooge\'s journey with the Ghost, representing a time for reflection and nostalgia.""The winter day serves as the setting for Scrooge\'s journey with the Ghost, representing a time for reflection and nostalgia.""The winter day serves as the setting for Scrooge\'s journey with the Ghost, representing a time for reflection and nostalgia.""The winter day serves as the setting for Scrooge\'s journey with the Ghost, representing a time for reflection and nostalgia."', 'source_id': 'chunk-bb21d58d36c6306fd8810ddd51c4a971'} -2024-10-30 06:04:24,859 - lightrag - INFO - get_node:query:MATCH (n:`MARKET-TOWN`) RETURN n:result:"The market-town appears in Scrooge\'s memories as a significant place from his childhood, representing a connection to his past.""The market-town appears in Scrooge\'s memories as a significant place from his childhood, representing a connection to his past.""The market-town appears in Scrooge\'s memories as a significant place from his childhood, representing a connection to his past."', 'source_id': 'chunk-bb21d58d36c6306fd8810ddd51c4a971'}> -2024-10-30 06:04:24,998 - lightrag - INFO - _do_upsert:query: - MERGE (n:`MARKET-TOWN`) - SET n += $properties - RETURN n - :result:{'entity_type': '"GEO"', 'description': '"The Market-Town is a nostalgic location from Scrooge\'s youth, evoking memories and emotions tied to his childhood.""The market-town appears in Scrooge\'s memories as a significant place from his childhood, representing a connection to his past.""The market-town appears in Scrooge\'s memories as a significant place from his childhood, representing a connection to his past.""The market-town appears in Scrooge\'s memories as a significant place from his childhood, representing a connection to his past.""The market-town appears in Scrooge\'s memories as a significant place from his childhood, representing a connection to his past."', 'source_id': 'chunk-bb21d58d36c6306fd8810ddd51c4a971'} -2024-10-30 06:04:25,129 - lightrag - INFO - get_node:query:MATCH (n:`BOYS`) RETURN n:result: -2024-10-30 06:04:25,260 - lightrag - INFO - _do_upsert:query: - MERGE (n:`BOYS`) - SET n += $properties - RETURN n - :result:{'entity_type': '"PERSON"', 'description': '"The boys are depicted as cheerful characters riding ponies, contributing to the joyful atmosphere and memories of Scrooge\'s past."', 'source_id': 'chunk-bb21d58d36c6306fd8810ddd51c4a971'} -2024-10-30 06:04:25,391 - lightrag - INFO - get_node:query:MATCH (n:`SHAGGY PONIES`) RETURN n:result: -2024-10-30 06:04:25,531 - lightrag - INFO - _do_upsert:query: - MERGE (n:`SHAGGY PONIES`) - SET n += $properties - RETURN n - :result:{'entity_type': '"GEO"', 'description': '"Shaggy ponies are mentioned as part of the scene, representing the innocent and playful aspects of Scrooge\'s childhood."', 'source_id': 'chunk-bb21d58d36c6306fd8810ddd51c4a971'} -2024-10-30 06:04:25,665 - lightrag - INFO - get_node:query:MATCH (n:`BRIDGE`) RETURN n:result: -2024-10-30 06:04:25,800 - lightrag - INFO - _do_upsert:query: - MERGE (n:`BRIDGE`) - SET n += $properties - RETURN n - :result:{'entity_type': '"GEO"', 'description': '"The bridge is a landmark in the market-town that Scrooge recognizes from his childhood, symbolizing a connection to his past."', 'source_id': 'chunk-bb21d58d36c6306fd8810ddd51c4a971'} -2024-10-30 06:04:25,928 - lightrag - INFO - get_node:query:MATCH (n:`CHURCH`) RETURN n:result: -2024-10-30 06:04:26,057 - lightrag - INFO - _do_upsert:query: - MERGE (n:`CHURCH`) - SET n += $properties - RETURN n - :result:{'entity_type': '"GEO"', 'description': '"The church is another landmark in the market-town representing tradition and community significant to Scrooge\'s memories."', 'source_id': 'chunk-bb21d58d36c6306fd8810ddd51c4a971'} -2024-10-30 06:04:26,183 - lightrag - INFO - get_node:query:MATCH (n:`WINDING RIVER`) RETURN n:result: -2024-10-30 06:04:26,323 - lightrag - INFO - _do_upsert:query: - MERGE (n:`WINDING RIVER`) - SET n += $properties - RETURN n - :result:{'entity_type': '"GEO"', 'description': '"The winding river is part of the landscape Scrooge recalls, tying into his emotions of nostalgia and remembrance of home."', 'source_id': 'chunk-bb21d58d36c6306fd8810ddd51c4a971'} -2024-10-30 06:04:26,456 - lightrag - INFO - get_node:query:MATCH (n:`ALI BABA`) RETURN n:result:"Ali Baba is a character from a story recalled by Scrooge, representing memories of adventure and kindness during Christmas.""Ali Baba is a character from a story recalled by Scrooge, representing memories of adventure and kindness during Christmas.""Ali Baba is mentioned as a character from a story that impacts Scrooge during his reflection on Christmas and childhood."', 'source_id': 'chunk-8590d9263cd2cd4fa583c432fc54e6c3'}> -2024-10-30 06:04:26,590 - lightrag - INFO - _do_upsert:query: - MERGE (n:`ALI BABA`) - SET n += $properties - RETURN n - :result:{'entity_type': '"PERSON"', 'description': '"Ali Baba is a character from a story recalled by Scrooge, representing memories of adventure and kindness during Christmas.""Ali Baba is a character from a story recalled by Scrooge, representing memories of adventure and kindness during Christmas.""Ali Baba is a character from a story recalled by Scrooge, representing memories of adventure and kindness during Christmas.""Ali Baba is a character from a story recalled by Scrooge, representing memories of adventure and kindness during Christmas.""Ali Baba is mentioned as a character from a story that impacts Scrooge during his reflection on Christmas and childhood."', 'source_id': 'chunk-8590d9263cd2cd4fa583c432fc54e6c3'} -2024-10-30 06:04:26,721 - lightrag - INFO - get_node:query:MATCH (n:`VALENTINE`) RETURN n:result:"Valentine is mentioned as a character associated with Scrooge\'s childhood memories, indicating the depth of his nostalgia.""Valentine is mentioned as a character associated with Scrooge\'s childhood memories, indicating the depth of his nostalgia.""Valentine is referenced as a brother of a character, and his presence contributes to the holiday memories Scrooge recalls."', 'source_id': 'chunk-8590d9263cd2cd4fa583c432fc54e6c3'}> -2024-10-30 06:04:26,858 - lightrag - INFO - _do_upsert:query: - MERGE (n:`VALENTINE`) - SET n += $properties - RETURN n - :result:{'entity_type': '"PERSON"', 'description': '"Valentine is mentioned as a character associated with Scrooge\'s childhood memories, indicating the depth of his nostalgia.""Valentine is mentioned as a character associated with Scrooge\'s childhood memories, indicating the depth of his nostalgia.""Valentine is mentioned as a character associated with Scrooge\'s childhood memories, indicating the depth of his nostalgia.""Valentine is mentioned as a character associated with Scrooge\'s childhood memories, indicating the depth of his nostalgia.""Valentine is referenced as a brother of a character, and his presence contributes to the holiday memories Scrooge recalls."', 'source_id': 'chunk-8590d9263cd2cd4fa583c432fc54e6c3'} -2024-10-30 06:04:26,991 - lightrag - INFO - get_node:query:MATCH (n:`ORSON`) RETURN n:result:"Orson, the wild brother of Valentine, is another figure from Scrooge\'s past, representing familial connections and memories.""Orson, the wild brother of Valentine, is another figure from Scrooge\'s past, representing familial connections and memories.""Orson, the wild brother of Valentine, is another figure from Scrooge\'s past, representing familial connections and memories."', 'source_id': 'chunk-8590d9263cd2cd4fa583c432fc54e6c3'}> -2024-10-30 06:04:27,124 - lightrag - INFO - _do_upsert:query: - MERGE (n:`ORSON`) - SET n += $properties - RETURN n - :result:{'entity_type': '"PERSON"', 'description': '"Orson is mentioned as another brother mentioned by Scrooge, recalling his childhood tales and adventures.""Orson, the wild brother of Valentine, is another figure from Scrooge\'s past, representing familial connections and memories.""Orson, the wild brother of Valentine, is another figure from Scrooge\'s past, representing familial connections and memories.""Orson, the wild brother of Valentine, is another figure from Scrooge\'s past, representing familial connections and memories.""Orson, the wild brother of Valentine, is another figure from Scrooge\'s past, representing familial connections and memories."', 'source_id': 'chunk-8590d9263cd2cd4fa583c432fc54e6c3'} -2024-10-30 06:04:27,263 - lightrag - INFO - get_node:query:MATCH (n:`MANSION`) RETURN n:result: -2024-10-30 06:04:27,397 - lightrag - INFO - _do_upsert:query: - MERGE (n:`MANSION`) - SET n += $properties - RETURN n - :result:{'entity_type': '"GEO"', 'description': '"The Mansion is a large house described as being in a state of decay and neglect, serving as a setting for Scrooge\'s memories."', 'source_id': 'chunk-8590d9263cd2cd4fa583c432fc54e6c3'} -2024-10-30 06:04:27,529 - lightrag - INFO - get_node:query:MATCH (n:`CHILD`) RETURN n:result: -2024-10-30 06:04:27,664 - lightrag - INFO - _do_upsert:query: - MERGE (n:`CHILD`) - SET n += $properties - RETURN n - :result:{'entity_type': '"PERSON"', 'description': '"The Child is a solitary figure leaving in the school, representing loneliness and the emotions tied to Scrooge\'s memories of his younger self."', 'source_id': 'chunk-8590d9263cd2cd4fa583c432fc54e6c3'} -2024-10-30 06:04:27,796 - lightrag - INFO - get_node:query:MATCH (n:`ROBIN CRUSOE`) RETURN n:result:"Robin Crusoe is a character from literature that Scrooge remembers fondly, illustrating his connection to stories of adventure and survival.""Robin Crusoe is a character from literature that Scrooge remembers fondly, illustrating his connection to stories of adventure and survival.""Robin Crusoe is a character referenced by Scrooge as part of his memories, signifying tales of adventure and nostalgia."', 'source_id': 'chunk-8590d9263cd2cd4fa583c432fc54e6c3'}> -2024-10-30 06:04:27,930 - lightrag - INFO - _do_upsert:query: - MERGE (n:`ROBIN CRUSOE`) - SET n += $properties - RETURN n - :result:{'entity_type': '"PERSON"', 'description': '"Robin Crusoe is a character from literature that Scrooge remembers fondly, illustrating his connection to stories of adventure and survival.""Robin Crusoe is a character from literature that Scrooge remembers fondly, illustrating his connection to stories of adventure and survival.""Robin Crusoe is a character from literature that Scrooge remembers fondly, illustrating his connection to stories of adventure and survival.""Robin Crusoe is a character from literature that Scrooge remembers fondly, illustrating his connection to stories of adventure and survival.""Robin Crusoe is a character referenced by Scrooge as part of his memories, signifying tales of adventure and nostalgia."', 'source_id': 'chunk-8590d9263cd2cd4fa583c432fc54e6c3'} -2024-10-30 06:04:28,062 - lightrag - INFO - get_node:query:MATCH (n:`FRIDAY`) RETURN n:result:"Friday is another character from the story of Robin Crusoe, noted in Scrooge\'s memories, indicating the impact of literature on his nostalgia.""Friday is another character from the story of Robin Crusoe, noted in Scrooge\'s memories, indicating the impact of literature on his nostalgia.""Friday is another character from the story of Robin Crusoe, noted in Scrooge\'s memories, indicating the impact of literature on his nostalgia."', 'source_id': 'chunk-8590d9263cd2cd4fa583c432fc54e6c3'}> -2024-10-30 06:04:28,231 - lightrag - INFO - _do_upsert:query: - MERGE (n:`FRIDAY`) - SET n += $properties - RETURN n - :result:{'entity_type': '"PERSON"', 'description': '"Friday is another character from a story mentioned by Scrooge during his nostalgic recollections of childhood.""Friday is another character from the story of Robin Crusoe, noted in Scrooge\'s memories, indicating the impact of literature on his nostalgia.""Friday is another character from the story of Robin Crusoe, noted in Scrooge\'s memories, indicating the impact of literature on his nostalgia.""Friday is another character from the story of Robin Crusoe, noted in Scrooge\'s memories, indicating the impact of literature on his nostalgia.""Friday is another character from the story of Robin Crusoe, noted in Scrooge\'s memories, indicating the impact of literature on his nostalgia."', 'source_id': 'chunk-8590d9263cd2cd4fa583c432fc54e6c3'} -2024-10-30 06:04:28,358 - lightrag - INFO - get_node:query:MATCH (n:`THE PARROT`) RETURN n:result: -2024-10-30 06:04:28,493 - lightrag - INFO - _do_upsert:query: - MERGE (n:`THE PARROT`) - SET n += $properties - RETURN n - :result:{'entity_type': '"PERSON"', 'description': '"The Parrot is a character in Scrooge\'s memory tied to Robin Crusoe, representing Scrooge\'s whimsical recollections."', 'source_id': 'chunk-8590d9263cd2cd4fa583c432fc54e6c3'} -2024-10-30 06:04:28,621 - lightrag - INFO - get_node:query:MATCH (n:`DICK WILKINS`) RETURN n:result:"Dick Wilkins is Scrooge\'s fellow apprentice and close companion during his younger years, indicating camaraderie during their apprenticeship.""Dick Wilkins is Scrooge\'s fellow apprentice, associated with Scrooge\'s past and the context of his earlier, more carefree life.""Dick Wilkins is a former apprentice of Scrooge, remembered fondly for his attachment to Scrooge.""Dick Wilkins is Scrooge\'s fellow apprentice, associated with Scrooge\'s past and the context of his earlier, more carefree life.""Dick Wilkins is a former apprentice of Scrooge, remembered fondly for his attachment to Scrooge.""Dick Wilkins is Scrooge\'s fellow apprentice, associated with Scrooge\'s past and the context of his earlier, more carefree life.""Dick Wilkins is a former apprentice of Scrooge, remembered fondly for his attachment to Scrooge."', 'source_id': 'chunk-8bc1edd983869352d14cf0886a9175a7chunk-c6c248858d1b13ab7ee9ca13c1aeed6b'}> -2024-10-30 06:04:28,756 - lightrag - INFO - _do_upsert:query: - MERGE (n:`DICK WILKINS`) - SET n += $properties - RETURN n - :result:{'entity_type': '"PERSON"', 'description': '"Dick Wilkins is Ebenezer\'s fellow apprentice, with whom he shared a strong attachment during their youth.""Dick Wilkins is Scrooge\'s fellow apprentice and close companion during his younger years, indicating camaraderie during their apprenticeship.""Dick Wilkins is Scrooge\'s fellow apprentice, associated with Scrooge\'s past and the context of his earlier, more carefree life.""Dick Wilkins is a former apprentice of Scrooge, remembered fondly for his attachment to Scrooge.""Dick Wilkins is Scrooge\'s fellow apprentice, associated with Scrooge\'s past and the context of his earlier, more carefree life.""Dick Wilkins is a former apprentice of Scrooge, remembered fondly for his attachment to Scrooge.""Dick Wilkins is Scrooge\'s fellow apprentice, associated with Scrooge\'s past and the context of his earlier, more carefree life.""Dick Wilkins is a former apprentice of Scrooge, remembered fondly for his attachment to Scrooge.""Dick Wilkins is Scrooge\'s fellow apprentice, associated with Scrooge\'s past and the context of his earlier, more carefree life.""Dick Wilkins is a former apprentice of Scrooge, remembered fondly for his attachment to Scrooge."', 'source_id': 'chunk-8bc1edd983869352d14cf0886a9175a7chunk-c6c248858d1b13ab7ee9ca13c1aeed6b'} -2024-10-30 06:04:28,888 - lightrag - INFO - get_node:query:MATCH (n:`THE CITY`) RETURN n:result:"The City represents the bustling urban environment where Scrooge reflects on his past, filled with activity and shadowy figures.""The City, from which Scrooge is transported, represents his past life and is contrasted with the open country road that signifies his memories.""The City refers to the broader urban environment in which Scrooge operates and signifies the societal norms and attitudes towards Christmas.""The City represents the bustling urban environment where Scrooge\'s memories unfold, highlighting the contrast between his past and present.""The City refers to the broader urban environment in which Scrooge operates and signifies the societal norms and attitudes towards Christmas.""The City represents the bustling urban environment where Scrooge\'s memories unfold, highlighting the contrast between his past and present.""The City refers to the broader urban environment in which Scrooge operates and signifies the societal norms and attitudes towards Christmas.""The City represents the bustling urban environment where Scrooge\'s memories unfold, highlighting the contrast between his past and present."', 'source_id': 'chunk-94bea83e7153fc2064aa382b494936a1chunk-bb21d58d36c6306fd8810ddd51c4a971chunk-c6c248858d1b13ab7ee9ca13c1aeed6bchunk-74e2466de2f67fd710ef2f20c0a8d9e0'}> -2024-10-30 06:04:29,024 - lightrag - INFO - _do_upsert:query: - MERGE (n:`THE CITY`) - SET n += $properties - RETURN n - :result:{'entity_type': '"GEO"', 'description': '"The City provides the backdrop for Scrooge\'s story, representing the bustling environment that underscores his loneliness and detachment from society.""The City represents the bustling urban environment where Scrooge reflects on his past, filled with activity and shadowy figures.""The City, from which Scrooge is transported, represents his past life and is contrasted with the open country road that signifies his memories.""The City refers to the broader urban environment in which Scrooge operates and signifies the societal norms and attitudes towards Christmas.""The City represents the bustling urban environment where Scrooge\'s memories unfold, highlighting the contrast between his past and present.""The City refers to the broader urban environment in which Scrooge operates and signifies the societal norms and attitudes towards Christmas.""The City represents the bustling urban environment where Scrooge\'s memories unfold, highlighting the contrast between his past and present.""The City refers to the broader urban environment in which Scrooge operates and signifies the societal norms and attitudes towards Christmas.""The City represents the bustling urban environment where Scrooge\'s memories unfold, highlighting the contrast between his past and present.""The City refers to the broader urban environment in which Scrooge operates and signifies the societal norms and attitudes towards Christmas.""The City represents the bustling urban environment where Scrooge\'s memories unfold, highlighting the contrast between his past and present."', 'source_id': 'chunk-94bea83e7153fc2064aa382b494936a1chunk-74e2466de2f67fd710ef2f20c0a8d9e0chunk-c6c248858d1b13ab7ee9ca13c1aeed6bchunk-bb21d58d36c6306fd8810ddd51c4a971'} -2024-10-30 06:04:29,154 - lightrag - INFO - get_node:query:MATCH (n:`HOME`) RETURN n:result:"Home represents the physical and emotional center for the family, where the Christmas celebration takes place.""Home represents the physical and emotional center for the family, where the Christmas celebration takes place.""Home symbolizes warmth, safety, and family connection, representing what Scrooge yearns for but has lost in his life.""Home symbolizes warmth, safety, and family connection, representing what Scrooge yearns for but has lost in his life.""Home symbolizes warmth, safety, and family connection, representing what Scrooge yearns for but has lost in his life."', 'source_id': 'chunk-c6c248858d1b13ab7ee9ca13c1aeed6bchunk-da2472b4ef2a535b62908f14d0fb0ca9'}> -2024-10-30 06:04:29,288 - lightrag - INFO - _do_upsert:query: - MERGE (n:`HOME`) - SET n += $properties - RETURN n - :result:{'entity_type': '"CONCEPT"', 'description': '"Home represents the physical and emotional center for the family, where the Christmas celebration takes place.""Home represents the physical and emotional center for the family, where the Christmas celebration takes place.""Home represents the physical and emotional center for the family, where the Christmas celebration takes place.""Home represents the physical and emotional center for the family, where the Christmas celebration takes place.""Home symbolizes warmth, safety, and family connection, representing what Scrooge yearns for but has lost in his life.""Home symbolizes warmth, safety, and family connection, representing what Scrooge yearns for but has lost in his life.""Home symbolizes warmth, safety, and family connection, representing what Scrooge yearns for but has lost in his life.""Home symbolizes warmth, safety, and family connection, representing what Scrooge yearns for but has lost in his life."', 'source_id': 'chunk-da2472b4ef2a535b62908f14d0fb0ca9chunk-c6c248858d1b13ab7ee9ca13c1aeed6b'} -2024-10-30 06:04:29,418 - lightrag - INFO - get_node:query:MATCH (n:`COACH`) RETURN n:result: -2024-10-30 06:04:29,553 - lightrag - INFO - _do_upsert:query: - MERGE (n:`COACH`) - SET n += $properties - RETURN n - :result:{'entity_type': '"CONCEPT"', 'description': '"The Coach is a means of transport that signifies the transition from Scrooge\'s lonely past to the possibility of companionship and warmth."', 'source_id': 'chunk-c6c248858d1b13ab7ee9ca13c1aeed6b'} -2024-10-30 06:04:29,682 - lightrag - INFO - get_node:query:MATCH (n:`THE SCHOOL`) RETURN n:result: -2024-10-30 06:04:29,815 - lightrag - INFO - _do_upsert:query: - MERGE (n:`THE SCHOOL`) - SET n += $properties - RETURN n - :result:{'entity_type': '"ORGANIZATION"', 'description': '"The School represents the institutional aspect of Scrooge\'s childhood, contrasting with the warmth and love represented by Fan."', 'source_id': 'chunk-c6c248858d1b13ab7ee9ca13c1aeed6b'} -2024-10-30 06:04:29,943 - lightrag - INFO - get_node:query:MATCH (n:`COLD`) RETURN n:result: -2024-10-30 06:04:30,078 - lightrag - INFO - _do_upsert:query: - MERGE (n:`COLD`) - SET n += $properties - RETURN n - :result:{'entity_type': '"CONCEPT"', 'description': '"Cold symbolizes the emotional detachment and isolation present in Scrooge\'s life, contrasting with the warmth of family and connection that he longs for."', 'source_id': 'chunk-c6c248858d1b13ab7ee9ca13c1aeed6b'} -2024-10-30 06:04:30,207 - lightrag - INFO - get_node:query:MATCH (n:`EVENING`) RETURN n:result: -2024-10-30 06:04:30,340 - lightrag - INFO - _do_upsert:query: - MERGE (n:`EVENING`) - SET n += $properties - RETURN n - :result:{'entity_type': '"EVENT"', 'description': '"Evening represents a time of transition and reflection as Scrooge recalls his past and seeks transformation."', 'source_id': 'chunk-c6c248858d1b13ab7ee9ca13c1aeed6b'} -2024-10-30 06:04:30,470 - lightrag - INFO - get_node:query:MATCH (n:`THE PARTY`) RETURN n:result:"The Party refers to the potential gathering for the funeral, which the characters consider with amusement rather than sincerity.""The Party refers to festive gatherings that Fezziwig hosts, showcasing joy and camaraderie during the Christmas season.""The Party refers to festive gatherings that Fezziwig hosts, showcasing joy and camaraderie during the Christmas season.""The Party refers to festive gatherings that Fezziwig hosts, showcasing joy and camaraderie during the Christmas season."', 'source_id': 'chunk-f1a4fbcf1ed86864b9bfd5e8dba4c683chunk-94bea83e7153fc2064aa382b494936a1chunk-c6c248858d1b13ab7ee9ca13c1aeed6b'}> -2024-10-30 06:04:30,605 - lightrag - INFO - _do_upsert:query: - MERGE (n:`THE PARTY`) - SET n += $properties - RETURN n - :result:{'entity_type': '"EVENT"', 'description': '"The Party is a festive gathering that celebrates Christmas, filled with games and joyful unity among friends and family.""The Party refers to the potential gathering for the funeral, which the characters consider with amusement rather than sincerity.""The Party refers to festive gatherings that Fezziwig hosts, showcasing joy and camaraderie during the Christmas season.""The Party refers to festive gatherings that Fezziwig hosts, showcasing joy and camaraderie during the Christmas season.""The Party refers to festive gatherings that Fezziwig hosts, showcasing joy and camaraderie during the Christmas season.""The Party refers to festive gatherings that Fezziwig hosts, showcasing joy and camaraderie during the Christmas season."', 'source_id': 'chunk-94bea83e7153fc2064aa382b494936a1chunk-f1a4fbcf1ed86864b9bfd5e8dba4c683chunk-c6c248858d1b13ab7ee9ca13c1aeed6b'} -2024-10-30 06:04:30,739 - lightrag - INFO - get_node:query:MATCH (n:`THE CHILDREN`) RETURN n:result:"The Children are a group experiencing feelings of wonder and delight during the gift-giving scene, highlighting innocence and joy.""The Children are a group experiencing feelings of wonder and delight during the gift-giving scene, highlighting innocence and joy.""The Children are a lively group in the matron\'s home, symbolizing joy, chaos, and familial warmth.""The Children in the Cratchit family represent innocence and curiosity, highlighting the effects of their family\'s struggles on their happiness.""The Children refer to the group of young individuals filled with wonder and delight during the Christmas festivities.""The Children serve as symbols of innocence and joy, representing the untainted happiness of childhood that Scrooge longs to reconnect with.""The children are the offspring of the Cratchit family, showcasing innocence and joy during the Christmas celebrations, reacting with laughter and cheer.""The Children are a lively group in the matron\'s home, symbolizing joy, chaos, and familial warmth.""The Children in the Cratchit family represent innocence and curiosity, highlighting the effects of their family\'s struggles on their happiness.""The Children serve as symbols of innocence and joy, representing the untainted happiness of childhood that Scrooge longs to reconnect with.""The children are the offspring of the Cratchit family, showcasing innocence and joy during the Christmas celebrations, reacting with laughter and cheer.""The Children are a lively group in the matron\'s home, symbolizing joy, chaos, and familial warmth.""The Children in the Cratchit family represent innocence and curiosity, highlighting the effects of their family\'s struggles on their happiness.""The Children serve as symbols of innocence and joy, representing the untainted happiness of childhood that Scrooge longs to reconnect with.""The children are the offspring of the Cratchit family, showcasing innocence and joy during the Christmas celebrations, reacting with laughter and cheer."', 'source_id': 'chunk-54bdd22db1f84a965b5f4c06c9216d8dchunk-19d72c57ae3408758b18d2568e86dc6bchunk-c6c248858d1b13ab7ee9ca13c1aeed6bchunk-83ac129dc9b56f84c46760d153d68e93chunk-da2472b4ef2a535b62908f14d0fb0ca9'}> -2024-10-30 06:04:30,741 - lightrag - DEBUG - Trigger summary: "THE CHILDREN" -2024-10-30 06:04:30,840 - lightrag - INFO - get_node:query:MATCH (n:`A COACH TO BRING YOU HOME`) RETURN n:result: -2024-10-30 06:04:30,974 - lightrag - INFO - _do_upsert:query: - MERGE (n:`A COACH TO BRING YOU HOME`) - SET n += $properties - RETURN n - :result:{'entity_type': '"CONCEPT"', 'description': '"A Coach to Bring You Home symbolizes the hope and opportunity for reconnection and warmth in Scrooge\'s life."', 'source_id': 'chunk-c6c248858d1b13ab7ee9ca13c1aeed6b'} -2024-10-30 06:04:31,102 - lightrag - INFO - get_node:query:MATCH (n:`THE DANCERS`) RETURN n:result: -2024-10-30 06:04:31,235 - lightrag - INFO - _do_upsert:query: - MERGE (n:`THE DANCERS`) - SET n += $properties - RETURN n - :result:{'entity_type': '"ORGANIZATION"', 'description': '"The Dancers represent the lively group of people celebrating and participating in the festivities organized by Fezziwig."', 'source_id': 'chunk-8bc1edd983869352d14cf0886a9175a7'} -2024-10-30 06:04:31,364 - lightrag - INFO - get_node:query:MATCH (n:`THE FIDDLER`) RETURN n:result:"The Fiddler is a musician who plays at Fezziwig\'s celebration, providing music for the dancers and contributing to the festive atmosphere.""The Fiddler is a musician who plays at Fezziwig\'s celebration, providing music for the dancers and contributing to the festive atmosphere.""The Fiddler is a musician who plays during the festivities, contributing to the atmosphere of joy and celebration."', 'source_id': 'chunk-8bc1edd983869352d14cf0886a9175a7'}> -2024-10-30 06:04:31,498 - lightrag - INFO - _do_upsert:query: - MERGE (n:`THE FIDDLER`) - SET n += $properties - RETURN n - :result:{'entity_type': '"PERSON"', 'description': '"The Fiddler is a musician who plays at Fezziwig\'s celebration, providing music for the dancers and contributing to the festive atmosphere.""The Fiddler is a musician who plays at Fezziwig\'s celebration, providing music for the dancers and contributing to the festive atmosphere.""The Fiddler is a musician who plays at Fezziwig\'s celebration, providing music for the dancers and contributing to the festive atmosphere.""The Fiddler is a musician who plays at Fezziwig\'s celebration, providing music for the dancers and contributing to the festive atmosphere.""The Fiddler is a musician who plays during the festivities, contributing to the atmosphere of joy and celebration."', 'source_id': 'chunk-8bc1edd983869352d14cf0886a9175a7'} -2024-10-30 06:04:31,631 - lightrag - INFO - get_node:query:MATCH (n:`THE THREE MISS FEZZIWIGS`) RETURN n:result: -2024-10-30 06:04:31,766 - lightrag - INFO - _do_upsert:query: - MERGE (n:`THE THREE MISS FEZZIWIGS`) - SET n += $properties - RETURN n - :result:{'entity_type': '"PERSON"', 'description': '"The Three Miss Fezziwigs are jovial participants in the celebration, characterized by their lovable demeanor."', 'source_id': 'chunk-8bc1edd983869352d14cf0886a9175a7'} -2024-10-30 06:04:31,898 - lightrag - INFO - get_node:query:MATCH (n:`YOUNG FOLLOWERS`) RETURN n:result: -2024-10-30 06:04:32,038 - lightrag - INFO - _do_upsert:query: - MERGE (n:`YOUNG FOLLOWERS`) - SET n += $properties - RETURN n - :result:{'entity_type': '"ORGANIZATION"', 'description': '"The Young Followers consist of several young men and women who are employed in Fezziwig\'s business and participate in the festivities."', 'source_id': 'chunk-8bc1edd983869352d14cf0886a9175a7'} -2024-10-30 06:04:32,168 - lightrag - INFO - get_node:query:MATCH (n:`THE HOUSEMAID`) RETURN n:result:"The Housemaid is a character present during the celebrations, contributing to the lively atmosphere of the evening.""The Housemaid is a character present during the celebrations, contributing to the lively atmosphere of the evening.""The Housemaid is mentioned as part of the domestic staff involved in the celebration, contributing to the jovial atmosphere."', 'source_id': 'chunk-8bc1edd983869352d14cf0886a9175a7'}> -2024-10-30 06:04:32,301 - lightrag - INFO - _do_upsert:query: - MERGE (n:`THE HOUSEMAID`) - SET n += $properties - RETURN n - :result:{'entity_type': '"PERSON"', 'description': '"The Housemaid is a character present during the celebrations, contributing to the lively atmosphere of the evening.""The Housemaid is a character present during the celebrations, contributing to the lively atmosphere of the evening.""The Housemaid is a character present during the celebrations, contributing to the lively atmosphere of the evening.""The Housemaid is a character present during the celebrations, contributing to the lively atmosphere of the evening.""The Housemaid is mentioned as part of the domestic staff involved in the celebration, contributing to the jovial atmosphere."', 'source_id': 'chunk-8bc1edd983869352d14cf0886a9175a7'} -2024-10-30 06:04:32,431 - lightrag - INFO - get_node:query:MATCH (n:`THE COOK`) RETURN n:result:"The Cook is another character involved in the celebrations, participating in the festivities alongside other guests.""The Cook is another character involved in the celebrations, participating in the festivities alongside other guests.""The Cook is part of the household and participates in the festive gathering, alongside other staff."', 'source_id': 'chunk-8bc1edd983869352d14cf0886a9175a7'}> -2024-10-30 06:04:32,569 - lightrag - INFO - _do_upsert:query: - MERGE (n:`THE COOK`) - SET n += $properties - RETURN n - :result:{'entity_type': '"PERSON"', 'description': '"The Cook is another character involved in the celebrations, participating in the festivities alongside other guests.""The Cook is another character involved in the celebrations, participating in the festivities alongside other guests.""The Cook is another character involved in the celebrations, participating in the festivities alongside other guests.""The Cook is another character involved in the celebrations, participating in the festivities alongside other guests.""The Cook is part of the household and participates in the festive gathering, alongside other staff."', 'source_id': 'chunk-8bc1edd983869352d14cf0886a9175a7'} -2024-10-30 06:04:32,700 - lightrag - INFO - get_node:query:MATCH (n:`THE BAKER`) RETURN n:result:"The Baker is related to the Housemaid and present during the celebrations, adding to the communal aspect of the event.""The Baker is related to the Housemaid and present during the celebrations, adding to the communal aspect of the event.""The Baker is related to the Housemaid and present during the celebrations, adding to the communal aspect of the event."', 'source_id': 'chunk-8bc1edd983869352d14cf0886a9175a7'}> -2024-10-30 06:04:32,835 - lightrag - INFO - _do_upsert:query: - MERGE (n:`THE BAKER`) - SET n += $properties - RETURN n - :result:{'entity_type': '"PERSON"', 'description': '"The Baker is a cousin to the housemaid, indicating the interconnectedness of the household staff during the festivities.""The Baker is related to the Housemaid and present during the celebrations, adding to the communal aspect of the event.""The Baker is related to the Housemaid and present during the celebrations, adding to the communal aspect of the event.""The Baker is related to the Housemaid and present during the celebrations, adding to the communal aspect of the event.""The Baker is related to the Housemaid and present during the celebrations, adding to the communal aspect of the event."', 'source_id': 'chunk-8bc1edd983869352d14cf0886a9175a7'} -2024-10-30 06:04:32,967 - lightrag - INFO - get_node:query:MATCH (n:`THE BOY FROM OVER THE WAY`) RETURN n:result: -2024-10-30 06:04:33,099 - lightrag - INFO - _do_upsert:query: - MERGE (n:`THE BOY FROM OVER THE WAY`) - SET n += $properties - RETURN n - :result:{'entity_type': '"PERSON"', 'description': '"The Boy from Over the Way is a humorous character trying to hide behind another participant, showcasing the inclusiveness of the celebrations."', 'source_id': 'chunk-8bc1edd983869352d14cf0886a9175a7'} -2024-10-30 06:04:33,225 - lightrag - INFO - get_node:query:MATCH (n:`THE GIRL FROM NEXT DOOR`) RETURN n:result: -2024-10-30 06:04:33,357 - lightrag - INFO - _do_upsert:query: - MERGE (n:`THE GIRL FROM NEXT DOOR`) - SET n += $properties - RETURN n - :result:{'entity_type': '"PERSON"', 'description': '"The Girl from Next Door is referenced as hiding from the Boy, illustrating the interactions during the event."', 'source_id': 'chunk-8bc1edd983869352d14cf0886a9175a7'} -2024-10-30 06:04:33,488 - lightrag - INFO - get_node:query:MATCH (n:`DICK`) RETURN n:result:"Dick is associated with Scrooge\'s former self, evoking nostalgic memories as Scrooge witnesses the past.""Dick is associated with Scrooge\'s former self, evoking nostalgic memories as Scrooge witnesses the past.""Dick is associated with Scrooge\'s former self, evoking nostalgic memories as Scrooge witnesses the past."', 'source_id': 'chunk-b2f98bc7abb0c67d4c86055c7fd72218'}> -2024-10-30 06:04:33,625 - lightrag - INFO - _do_upsert:query: - MERGE (n:`DICK`) - SET n += $properties - RETURN n - :result:{'entity_type': '"PERSON"', 'description': '"Dick is a character from Scrooge\'s past, reminisced about during the scene, representing the camaraderie shared during the ball.""Dick is associated with Scrooge\'s former self, evoking nostalgic memories as Scrooge witnesses the past.""Dick is associated with Scrooge\'s former self, evoking nostalgic memories as Scrooge witnesses the past.""Dick is associated with Scrooge\'s former self, evoking nostalgic memories as Scrooge witnesses the past.""Dick is associated with Scrooge\'s former self, evoking nostalgic memories as Scrooge witnesses the past."', 'source_id': 'chunk-b2f98bc7abb0c67d4c86055c7fd72218'} -2024-10-30 06:04:33,754 - lightrag - INFO - get_node:query:MATCH (n:`THE GHOST OF CHRISTMAS PAST`) RETURN n:result:"The Ghost of Christmas Past is a supernatural entity that allows Scrooge to revisit and reflect on his previous life experiences.""The Ghost of Christmas Past is a supernatural entity that allows Scrooge to revisit and reflect on his previous life experiences.""The Ghost of Christmas Past is a supernatural entity that shows Scrooge moments from his past, eliciting reflection and emotion.""The Ghost of Christmas Past represents Scrooge\'s history and helps him confront his former self and decisions made in life.""The Ghost of Christmas Past represents Scrooge\'s history and helps him confront his former self and decisions made in life.""The Ghost of Christmas Past represents Scrooge\'s history and helps him confront his former self and decisions made in life."', 'source_id': 'chunk-90b95db5c53e4364a6bee36b7aa4d70fchunk-b2f98bc7abb0c67d4c86055c7fd72218'}> -2024-10-30 06:04:33,889 - lightrag - INFO - _do_upsert:query: - MERGE (n:`THE GHOST OF CHRISTMAS PAST`) - SET n += $properties - RETURN n - :result:{'entity_type': '"EVENT"', 'description': '"The Ghost of Christmas Past is a supernatural entity that allows Scrooge to revisit and reflect on his previous life experiences.""The Ghost of Christmas Past is a supernatural entity that allows Scrooge to revisit and reflect on his previous life experiences.""The Ghost of Christmas Past is a supernatural entity that allows Scrooge to revisit and reflect on his previous life experiences.""The Ghost of Christmas Past is a supernatural entity that allows Scrooge to revisit and reflect on his previous life experiences.""The Ghost of Christmas Past is a supernatural entity that shows Scrooge moments from his past, eliciting reflection and emotion.""The Ghost of Christmas Past represents Scrooge\'s history and helps him confront his former self and decisions made in life.""The Ghost of Christmas Past represents Scrooge\'s history and helps him confront his former self and decisions made in life.""The Ghost of Christmas Past represents Scrooge\'s history and helps him confront his former self and decisions made in life.""The Ghost of Christmas Past represents Scrooge\'s history and helps him confront his former self and decisions made in life."', 'source_id': 'chunk-90b95db5c53e4364a6bee36b7aa4d70fchunk-b2f98bc7abb0c67d4c86055c7fd72218'} -2024-10-30 06:04:34,015 - lightrag - INFO - get_node:query:MATCH (n:`THE DOMESTIC BALL`) RETURN n:result:"The Domestic Ball represents a joyful gathering, fostering a sense of community and happiness among the participants.""The Domestic Ball represents a joyful gathering, fostering a sense of community and happiness among the participants.""The Domestic Ball represents a joyful gathering, fostering a sense of community and happiness among the participants."', 'source_id': 'chunk-b2f98bc7abb0c67d4c86055c7fd72218'}> -2024-10-30 06:04:34,150 - lightrag - INFO - _do_upsert:query: - MERGE (n:`THE DOMESTIC BALL`) - SET n += $properties - RETURN n - :result:{'entity_type': '"EVENT"', 'description': '"The Domestic Ball is a joyful celebration organized by Fezziwig, where guests enjoy dancing and merry exchanges.""The Domestic Ball represents a joyful gathering, fostering a sense of community and happiness among the participants.""The Domestic Ball represents a joyful gathering, fostering a sense of community and happiness among the participants.""The Domestic Ball represents a joyful gathering, fostering a sense of community and happiness among the participants.""The Domestic Ball represents a joyful gathering, fostering a sense of community and happiness among the participants."', 'source_id': 'chunk-b2f98bc7abb0c67d4c86055c7fd72218'} -2024-10-30 06:04:34,278 - lightrag - INFO - get_node:query:MATCH (n:`THE TWO APPRENTICES`) RETURN n:result:"The Two Apprentices are characters present at the Domestic Ball, who express gratitude and admiration for Fezziwig after the event.""The Two Apprentices are characters present at the Domestic Ball, who express gratitude and admiration for Fezziwig after the event.""The Two Apprentices are characters present at the Domestic Ball, who express gratitude and admiration for Fezziwig after the event."', 'source_id': 'chunk-b2f98bc7abb0c67d4c86055c7fd72218'}> -2024-10-30 06:04:34,411 - lightrag - INFO - _do_upsert:query: - MERGE (n:`THE TWO APPRENTICES`) - SET n += $properties - RETURN n - :result:{'entity_type': '"PERSON"', 'description': '"The Two Apprentices are characters from Fezziwig\'s establishment who express gratitude and admiration for Fezziwig\'s positive influence during the Domestic Ball.""The Two Apprentices are characters present at the Domestic Ball, who express gratitude and admiration for Fezziwig after the event.""The Two Apprentices are characters present at the Domestic Ball, who express gratitude and admiration for Fezziwig after the event.""The Two Apprentices are characters present at the Domestic Ball, who express gratitude and admiration for Fezziwig after the event.""The Two Apprentices are characters present at the Domestic Ball, who express gratitude and admiration for Fezziwig after the event."', 'source_id': 'chunk-b2f98bc7abb0c67d4c86055c7fd72218'} -2024-10-30 06:04:34,544 - lightrag - INFO - get_node:query:MATCH (n:`THE GOLDEN IDOL`) RETURN n:result: -2024-10-30 06:04:34,682 - lightrag - INFO - _do_upsert:query: - MERGE (n:`THE GOLDEN IDOL`) - SET n += $properties - RETURN n - :result:{'entity_type': '"CONCEPT"', 'description': '"The Golden Idol symbolizes materialism and the pursuit of wealth, indicating a shift in Scrooge\'s values over time."', 'source_id': 'chunk-b2f98bc7abb0c67d4c86055c7fd72218'} -2024-10-30 06:04:34,813 - lightrag - INFO - get_node:query:MATCH (n:`THE PRIME OF LIFE`) RETURN n:result: -2024-10-30 06:04:34,947 - lightrag - INFO - _do_upsert:query: - MERGE (n:`THE PRIME OF LIFE`) - SET n += $properties - RETURN n - :result:{'entity_type': '"EVENT"', 'description': '"The Prime of Life refers to a phase in Scrooge\'s youth when he was more carefree before becoming hardened by greed."', 'source_id': 'chunk-b2f98bc7abb0c67d4c86055c7fd72218'} -2024-10-30 06:04:35,076 - lightrag - INFO - get_node:query:MATCH (n:`THE MOURNING DRESS`) RETURN n:result: -2024-10-30 06:04:35,210 - lightrag - INFO - _do_upsert:query: - MERGE (n:`THE MOURNING DRESS`) - SET n += $properties - RETURN n - :result:{'entity_type': '"CONCEPT"', 'description': '"The Mourning Dress symbolizes loss and separation, highlighting the emotional distance between Scrooge and his former love."', 'source_id': 'chunk-b2f98bc7abb0c67d4c86055c7fd72218'} -2024-10-30 06:04:35,338 - lightrag - INFO - get_node:query:MATCH (n:`THE BEAUTIFUL YOUNG GIRL`) RETURN n:result: -2024-10-30 06:04:35,476 - lightrag - INFO - _do_upsert:query: - MERGE (n:`THE BEAUTIFUL YOUNG GIRL`) - SET n += $properties - RETURN n - :result:{'entity_type': '"PERSON"', 'description': '"The Beautiful Young Girl is a figure from Scrooge\'s past, representing lost opportunities and innocence."', 'source_id': 'chunk-54bdd22db1f84a965b5f4c06c9216d8d'} -2024-10-30 06:04:35,606 - lightrag - INFO - get_node:query:MATCH (n:`THE COMELY MATRON`) RETURN n:result: -2024-10-30 06:04:35,739 - lightrag - INFO - _do_upsert:query: - MERGE (n:`THE COMELY MATRON`) - SET n += $properties - RETURN n - :result:{'entity_type': '"PERSON"', 'description': '"The Comely Matron is the grown-up version of the Beautiful Young Girl, emphasizing change and the passage of time."', 'source_id': 'chunk-54bdd22db1f84a965b5f4c06c9216d8d'} -2024-10-30 06:04:35,876 - lightrag - INFO - get_node:query:MATCH (n:`CHRISTMAS TOYS AND PRESENTS`) RETURN n:result:"Christmas Toys and Presents are associated with familial love and joy, as they arrive with the father, enhancing the holiday spirit.""Christmas Toys and Presents are associated with familial love and joy, as they arrive with the father, enhancing the holiday spirit.""Christmas Toys and Presents are associated with joy and celebration, marking the festive occasion and the love shared among family.""Christmas Toys and Presents signify the spirit of giving and the excitement that surrounds the holiday season, especially for children.""Christmas Toys and Presents signify the spirit of giving and the excitement that surrounds the holiday season, especially for children.""Christmas Toys and Presents signify the spirit of giving and the excitement that surrounds the holiday season, especially for children."', 'source_id': 'chunk-54bdd22db1f84a965b5f4c06c9216d8dchunk-da2472b4ef2a535b62908f14d0fb0ca9'}> -2024-10-30 06:04:36,013 - lightrag - INFO - _do_upsert:query: - MERGE (n:`CHRISTMAS TOYS AND PRESENTS`) - SET n += $properties - RETURN n - :result:{'entity_type': '"EVENT"', 'description': '"Christmas Toys and Presents are associated with familial love and joy, as they arrive with the father, enhancing the holiday spirit.""Christmas Toys and Presents are associated with familial love and joy, as they arrive with the father, enhancing the holiday spirit.""Christmas Toys and Presents are associated with familial love and joy, as they arrive with the father, enhancing the holiday spirit.""Christmas Toys and Presents are associated with familial love and joy, as they arrive with the father, enhancing the holiday spirit.""Christmas Toys and Presents are associated with joy and celebration, marking the festive occasion and the love shared among family.""Christmas Toys and Presents signify the spirit of giving and the excitement that surrounds the holiday season, especially for children.""Christmas Toys and Presents signify the spirit of giving and the excitement that surrounds the holiday season, especially for children.""Christmas Toys and Presents signify the spirit of giving and the excitement that surrounds the holiday season, especially for children.""Christmas Toys and Presents signify the spirit of giving and the excitement that surrounds the holiday season, especially for children."', 'source_id': 'chunk-da2472b4ef2a535b62908f14d0fb0ca9chunk-54bdd22db1f84a965b5f4c06c9216d8d'} -2024-10-30 06:04:36,140 - lightrag - INFO - get_node:query:MATCH (n:`THE ROOM`) RETURN n:result: -2024-10-30 06:04:36,275 - lightrag - INFO - _do_upsert:query: - MERGE (n:`THE ROOM`) - SET n += $properties - RETURN n - :result:{'entity_type': '"GEO"', 'description': '"The Room is described as a cozy, comfortable setting where the comely matron and her children interact during festive times."', 'source_id': 'chunk-54bdd22db1f84a965b5f4c06c9216d8d'} -2024-10-30 06:04:36,405 - lightrag - INFO - get_node:query:MATCH (n:`THE WINTER FIRE`) RETURN n:result: -2024-10-30 06:04:36,543 - lightrag - INFO - _do_upsert:query: - MERGE (n:`THE WINTER FIRE`) - SET n += $properties - RETURN n - :result:{'entity_type': '"EVENT"', 'description': '"The Winter Fire represents warmth and comfort in the room where the matron and children gather, enhancing the festive atmosphere."', 'source_id': 'chunk-54bdd22db1f84a965b5f4c06c9216d8d'} -2024-10-30 06:04:36,675 - lightrag - INFO - get_node:query:MATCH (n:`THE FATHER`) RETURN n:result:"The Father is a character who returns home and is greeted with excitement, embodying family warmth and joy during Christmas celebrations.""The Father is a character who returns home with presents, symbolizing the joy of family and the spirit of giving during Christmas.""The Father is a character who returns home and is greeted with excitement, embodying family warmth and joy during Christmas celebrations.""The Father is a character who returns home with presents, symbolizing the joy of family and the spirit of giving during Christmas.""The Father is a character who returns home and is greeted with excitement, embodying family warmth and joy during Christmas celebrations.""The Father is a character who returns home with presents, symbolizing the joy of family and the spirit of giving during Christmas."', 'source_id': 'chunk-54bdd22db1f84a965b5f4c06c9216d8dchunk-da2472b4ef2a535b62908f14d0fb0ca9'}> -2024-10-30 06:04:36,813 - lightrag - INFO - _do_upsert:query: - MERGE (n:`THE FATHER`) - SET n += $properties - RETURN n - :result:{'entity_type': '"PERSON"', 'description': '"The Father is a character who arrives home with Christmas presents, symbolizing familial joy and festive spirit.""The Father is a character who returns home and is greeted with excitement, embodying family warmth and joy during Christmas celebrations.""The Father is a character who returns home with presents, symbolizing the joy of family and the spirit of giving during Christmas.""The Father is a character who returns home and is greeted with excitement, embodying family warmth and joy during Christmas celebrations.""The Father is a character who returns home with presents, symbolizing the joy of family and the spirit of giving during Christmas.""The Father is a character who returns home and is greeted with excitement, embodying family warmth and joy during Christmas celebrations.""The Father is a character who returns home with presents, symbolizing the joy of family and the spirit of giving during Christmas.""The Father is a character who returns home and is greeted with excitement, embodying family warmth and joy during Christmas celebrations.""The Father is a character who returns home with presents, symbolizing the joy of family and the spirit of giving during Christmas."', 'source_id': 'chunk-da2472b4ef2a535b62908f14d0fb0ca9chunk-54bdd22db1f84a965b5f4c06c9216d8d'} -2024-10-30 06:04:36,947 - lightrag - INFO - get_node:query:MATCH (n:`THE YOUNG BRIGANDS`) RETURN n:result: -2024-10-30 06:04:37,104 - lightrag - INFO - _do_upsert:query: - MERGE (n:`THE YOUNG BRIGANDS`) - SET n += $properties - RETURN n - :result:{'entity_type': '"PERSON"', 'description': '"The Young Brigands are a playful group of children engaged in merriment and mischief during the festive celebration."', 'source_id': 'chunk-54bdd22db1f84a965b5f4c06c9216d8d'} -2024-10-30 06:04:37,233 - lightrag - INFO - get_node:query:MATCH (n:`THE DOWERLESS GIRL`) RETURN n:result: -2024-10-30 06:04:37,369 - lightrag - INFO - _do_upsert:query: - MERGE (n:`THE DOWERLESS GIRL`) - SET n += $properties - RETURN n - :result:{'entity_type': '"PERSON"', 'description': '"The Dowerless Girl is a symbolic representation of the limitations in relationships based on social and economic status as reflected in Scrooge\'s dialogue."', 'source_id': 'chunk-54bdd22db1f84a965b5f4c06c9216d8d'} -2024-10-30 06:04:37,500 - lightrag - INFO - get_node:query:MATCH (n:`THE MEMORY`) RETURN n:result: -2024-10-30 06:04:37,635 - lightrag - INFO - _do_upsert:query: - MERGE (n:`THE MEMORY`) - SET n += $properties - RETURN n - :result:{'entity_type': '"CONCEPT"', 'description': '"The Memory refers to the recollections of past relationships and feelings that haunt Scrooge as he contemplates his choices."', 'source_id': 'chunk-54bdd22db1f84a965b5f4c06c9216d8d'} -2024-10-30 06:04:37,764 - lightrag - INFO - get_node:query:MATCH (n:`HAPPINESS`) RETURN n:result: -2024-10-30 06:04:37,900 - lightrag - INFO - _do_upsert:query: - MERGE (n:`HAPPINESS`) - SET n += $properties - RETURN n - :result:{'entity_type': '"CONCEPT"', 'description': '"Happiness signifies the conflicting emotions Scrooge feels regarding past love and the reality of his current life choices."', 'source_id': 'chunk-54bdd22db1f84a965b5f4c06c9216d8d'} -2024-10-30 06:04:38,031 - lightrag - INFO - get_node:query:MATCH (n:`HOPE`) RETURN n:result:"Hope emerges as a central theme in the characters\' lives, particularly through Caroline\'s reaction to news about the husband and the family\'s future.""Hope emerges as a central theme in the characters\' lives, particularly through Caroline\'s reaction to news about the husband and the family\'s future.""Hope represents the aspirations and dreams that characters have, particularly in the context of the matron\'s optimistic nature.""Hope represents the aspirations and dreams that characters have, particularly in the context of the matron\'s optimistic nature.""Hope represents the aspirations and dreams that characters have, particularly in the context of the matron\'s optimistic nature."', 'source_id': 'chunk-54bdd22db1f84a965b5f4c06c9216d8dchunk-83ac129dc9b56f84c46760d153d68e93'}> -2024-10-30 06:04:38,165 - lightrag - INFO - _do_upsert:query: - MERGE (n:`HOPE`) - SET n += $properties - RETURN n - :result:{'entity_type': '"CONCEPT"', 'description': '"Hope emerges as a central theme in the characters\' lives, particularly through Caroline\'s reaction to news about the husband and the family\'s future.""Hope emerges as a central theme in the characters\' lives, particularly through Caroline\'s reaction to news about the husband and the family\'s future.""Hope emerges as a central theme in the characters\' lives, particularly through Caroline\'s reaction to news about the husband and the family\'s future.""Hope emerges as a central theme in the characters\' lives, particularly through Caroline\'s reaction to news about the husband and the family\'s future.""Hope represents the aspirations and dreams that characters have, particularly in the context of the matron\'s optimistic nature.""Hope represents the aspirations and dreams that characters have, particularly in the context of the matron\'s optimistic nature.""Hope represents the aspirations and dreams that characters have, particularly in the context of the matron\'s optimistic nature.""Hope represents the aspirations and dreams that characters have, particularly in the context of the matron\'s optimistic nature."', 'source_id': 'chunk-83ac129dc9b56f84c46760d153d68e93chunk-54bdd22db1f84a965b5f4c06c9216d8d'} -2024-10-30 06:04:38,297 - lightrag - INFO - get_node:query:MATCH (n:`BELLE`) RETURN n:result:"Belle is Scrooge\'s former love, evidence of care and affection, now mentioned in the context of Scrooge’s memories.""Belle is Scrooge\'s former love, evidence of care and affection, now mentioned in the context of Scrooge’s memories.""Belle is Scrooge\'s former love, evidence of care and affection, now mentioned in the context of Scrooge’s memories."', 'source_id': 'chunk-da2472b4ef2a535b62908f14d0fb0ca9'}> -2024-10-30 06:04:38,434 - lightrag - INFO - _do_upsert:query: - MERGE (n:`BELLE`) - SET n += $properties - RETURN n - :result:{'entity_type': '"PERSON"', 'description': '"Belle is Scrooge\'s former love whose presence evokes strong feelings of longing and sorrow in Scrooge.""Belle is Scrooge\'s former love, evidence of care and affection, now mentioned in the context of Scrooge’s memories.""Belle is Scrooge\'s former love, evidence of care and affection, now mentioned in the context of Scrooge’s memories.""Belle is Scrooge\'s former love, evidence of care and affection, now mentioned in the context of Scrooge’s memories.""Belle is Scrooge\'s former love, evidence of care and affection, now mentioned in the context of Scrooge’s memories."', 'source_id': 'chunk-da2472b4ef2a535b62908f14d0fb0ca9'} -2024-10-30 06:04:38,566 - lightrag - INFO - get_node:query:MATCH (n:`THE OFFICE`) RETURN n:result:"The Office is Scrooge\'s workplace, signifying his past life and the memories associated with his business dealings.""The Office is Scrooge\'s workplace, signifying his past life and the memories associated with his business dealings.""The Office refers to Scrooge\'s workplace, emphasizing his isolation and the business-focused nature of his life.""The Office refers to the workplace where Scrooge and Bob Cratchit interact, highlighting the power dynamics and work-related tension.""The Office refers to Scrooge\'s workplace, emphasizing his isolation and the business-focused nature of his life.""The Office refers to the workplace where Scrooge and Bob Cratchit interact, highlighting the power dynamics and work-related tension.""The Office refers to Scrooge\'s workplace, emphasizing his isolation and the business-focused nature of his life.""The Office refers to the workplace where Scrooge and Bob Cratchit interact, highlighting the power dynamics and work-related tension."', 'source_id': 'chunk-94bea83e7153fc2064aa382b494936a1chunk-91572b3cd42786ba4cb2f180ca25cbf4chunk-da2472b4ef2a535b62908f14d0fb0ca9'}> -2024-10-30 06:04:38,699 - lightrag - INFO - _do_upsert:query: - MERGE (n:`THE OFFICE`) - SET n += $properties - RETURN n - :result:{'entity_type': '"ORGANIZATION"', 'description': '"The Office is Scrooge\'s workplace, signifying his past life and the memories associated with his business dealings.""The Office is Scrooge\'s workplace, signifying his past life and the memories associated with his business dealings.""The Office is Scrooge\'s workplace, signifying his past life and the memories associated with his business dealings.""The Office is Scrooge\'s workplace, signifying his past life and the memories associated with his business dealings.""The Office refers to Scrooge\'s workplace, emphasizing his isolation and the business-focused nature of his life.""The Office refers to the workplace where Scrooge and Bob Cratchit interact, highlighting the power dynamics and work-related tension.""The Office refers to Scrooge\'s workplace, emphasizing his isolation and the business-focused nature of his life.""The Office refers to the workplace where Scrooge and Bob Cratchit interact, highlighting the power dynamics and work-related tension.""The Office refers to Scrooge\'s workplace, emphasizing his isolation and the business-focused nature of his life.""The Office refers to the workplace where Scrooge and Bob Cratchit interact, highlighting the power dynamics and work-related tension.""The Office refers to Scrooge\'s workplace, emphasizing his isolation and the business-focused nature of his life.""The Office refers to the workplace where Scrooge and Bob Cratchit interact, highlighting the power dynamics and work-related tension."', 'source_id': 'chunk-94bea83e7153fc2064aa382b494936a1chunk-91572b3cd42786ba4cb2f180ca25cbf4chunk-da2472b4ef2a535b62908f14d0fb0ca9'} -2024-10-30 06:04:38,830 - lightrag - INFO - get_node:query:MATCH (n:`THE PORTER`) RETURN n:result:"The Porter is depicted as a defenseless character being playfully assaulted by the children during their festive excitement.""The Porter is depicted as a defenseless character being playfully assaulted by the children during their festive excitement.""The Porter is depicted as a defenseless character being playfully assaulted by the children during their festive excitement."', 'source_id': 'chunk-da2472b4ef2a535b62908f14d0fb0ca9'}> -2024-10-30 06:04:38,967 - lightrag - INFO - _do_upsert:query: - MERGE (n:`THE PORTER`) - SET n += $properties - RETURN n - :result:{'entity_type': '"PERSON"', 'description': '"The Porter is a character who becomes the target of playful affection from the children, showcasing innocence and chaos during celebrations.""The Porter is depicted as a defenseless character being playfully assaulted by the children during their festive excitement.""The Porter is depicted as a defenseless character being playfully assaulted by the children during their festive excitement.""The Porter is depicted as a defenseless character being playfully assaulted by the children during their festive excitement.""The Porter is depicted as a defenseless character being playfully assaulted by the children during their festive excitement."', 'source_id': 'chunk-da2472b4ef2a535b62908f14d0fb0ca9'} -2024-10-30 06:04:39,094 - lightrag - INFO - get_node:query:MATCH (n:`THE BABY`) RETURN n:result: -2024-10-30 06:04:39,229 - lightrag - INFO - _do_upsert:query: - MERGE (n:`THE BABY`) - SET n += $properties - RETURN n - :result:{'entity_type': '"PERSON"', 'description': '"The Baby is involved in a comical mishap concerning a doll\'s frying pan, symbolizing the innocence and curiosity of childhood."', 'source_id': 'chunk-da2472b4ef2a535b62908f14d0fb0ca9'} -2024-10-30 06:04:39,360 - lightrag - INFO - get_node:query:MATCH (n:`THE MOTHER`) RETURN n:result:"The Mother is a character associated with the family dynamics during the Christmas scene, though her actions are not explicitly detailed.""The Mother is depicted as a comely matron, who enjoys the laughter and chaos with her children, showing warmth and family value.""The Mother is a character who exhibits anxiety and hope as she awaits her husband\'s return, embodying the emotional depth of family relations during hardship.""The Mother is a character who shares a tender moment with her husband and daughter, representing familial love and connection.""The Mother is a character who exhibits anxiety and hope as she awaits her husband\'s return, embodying the emotional depth of family relations during hardship.""The Mother is a character who shares a tender moment with her husband and daughter, representing familial love and connection.""The Mother is a character who exhibits anxiety and hope as she awaits her husband\'s return, embodying the emotional depth of family relations during hardship.""The Mother is a character who shares a tender moment with her husband and daughter, representing familial love and connection."', 'source_id': 'chunk-54bdd22db1f84a965b5f4c06c9216d8dchunk-da2472b4ef2a535b62908f14d0fb0ca9chunk-83ac129dc9b56f84c46760d153d68e93'}> -2024-10-30 06:04:39,493 - lightrag - INFO - _do_upsert:query: - MERGE (n:`THE MOTHER`) - SET n += $properties - RETURN n - :result:{'entity_type': '"PERSON"', 'description': '"The Mother exemplifies apprehension and hope regarding her husband\'s return, depicting the emotional burden of waiting and uncertainty.""The Mother is a character associated with the family dynamics during the Christmas scene, though her actions are not explicitly detailed.""The Mother is depicted as a comely matron, who enjoys the laughter and chaos with her children, showing warmth and family value.""The Mother is a character who exhibits anxiety and hope as she awaits her husband\'s return, embodying the emotional depth of family relations during hardship.""The Mother is a character who shares a tender moment with her husband and daughter, representing familial love and connection.""The Mother is a character who exhibits anxiety and hope as she awaits her husband\'s return, embodying the emotional depth of family relations during hardship.""The Mother is a character who shares a tender moment with her husband and daughter, representing familial love and connection.""The Mother is a character who exhibits anxiety and hope as she awaits her husband\'s return, embodying the emotional depth of family relations during hardship.""The Mother is a character who shares a tender moment with her husband and daughter, representing familial love and connection.""The Mother is a character who exhibits anxiety and hope as she awaits her husband\'s return, embodying the emotional depth of family relations during hardship.""The Mother is a character who shares a tender moment with her husband and daughter, representing familial love and connection."', 'source_id': 'chunk-da2472b4ef2a535b62908f14d0fb0ca9chunk-83ac129dc9b56f84c46760d153d68e93chunk-54bdd22db1f84a965b5f4c06c9216d8d'} -2024-10-30 06:04:39,625 - lightrag - INFO - get_node:query:MATCH (n:`CITY`) RETURN n:result:"The City represents the urban setting where Scrooge witnesses the indifference of its inhabitants regarding his death.""The City represents the urban setting where Scrooge\'s transformation takes place, symbolizing the broader society impacted by his changes.""The City serves as a backdrop where various scenes unfold, representing the hustle of life and economic concerns.""The City symbolizes the urban setting where Scrooge\'s transformation takes place, primarily depicting the contrast between Scrooge\'s isolation and the outer world filled with festivities.""The City serves as a backdrop where various scenes unfold, representing the hustle of life and economic concerns.""The City symbolizes the urban setting where Scrooge\'s transformation takes place, primarily depicting the contrast between Scrooge\'s isolation and the outer world filled with festivities.""The City serves as a backdrop where various scenes unfold, representing the hustle of life and economic concerns.""The City symbolizes the urban setting where Scrooge\'s transformation takes place, primarily depicting the contrast between Scrooge\'s isolation and the outer world filled with festivities."', 'source_id': 'chunk-94bea83e7153fc2064aa382b494936a1chunk-02baee20cc9463dbe08170a8e1043e32chunk-843b5b2f944c7413d9ca876e2e2f151f'}> -2024-10-30 06:04:39,759 - lightrag - INFO - _do_upsert:query: - MERGE (n:`CITY`) - SET n += $properties - RETURN n - :result:{'entity_type': '"GEO"', 'description': '"The City refers to a generic location embodying the community and societal norms, with which Scrooge has a complex relationship.""The City represents the urban setting where Scrooge witnesses the indifference of its inhabitants regarding his death.""The City represents the urban setting where Scrooge\'s transformation takes place, symbolizing the broader society impacted by his changes.""The City serves as a backdrop where various scenes unfold, representing the hustle of life and economic concerns.""The City symbolizes the urban setting where Scrooge\'s transformation takes place, primarily depicting the contrast between Scrooge\'s isolation and the outer world filled with festivities.""The City serves as a backdrop where various scenes unfold, representing the hustle of life and economic concerns.""The City symbolizes the urban setting where Scrooge\'s transformation takes place, primarily depicting the contrast between Scrooge\'s isolation and the outer world filled with festivities.""The City serves as a backdrop where various scenes unfold, representing the hustle of life and economic concerns.""The City symbolizes the urban setting where Scrooge\'s transformation takes place, primarily depicting the contrast between Scrooge\'s isolation and the outer world filled with festivities.""The City serves as a backdrop where various scenes unfold, representing the hustle of life and economic concerns.""The City symbolizes the urban setting where Scrooge\'s transformation takes place, primarily depicting the contrast between Scrooge\'s isolation and the outer world filled with festivities."', 'source_id': 'chunk-94bea83e7153fc2064aa382b494936a1chunk-843b5b2f944c7413d9ca876e2e2f151fchunk-02baee20cc9463dbe08170a8e1043e32'} -2024-10-30 06:04:39,890 - lightrag - INFO - get_node:query:MATCH (n:`SPIRIT`) RETURN n:result:"The Spirit embodies the lessons of compassion and social responsibility, guiding Scrooge through his reflections and realizations.""The Spirit is the manifestation of Scrooge\'s past that guides him through his memories, representing his former self and the influence of time.""The Spirit represents a ghostly entity, guiding Scrooge through visions of potential future events and urging him to acknowledge societal issues.""The Spirit represents a supernatural entity guiding Scrooge through his reflections on life, death, and human emotions, prompting self-awareness.""The Spirit represents the embodiment of the Christmas present, personifying the themes of generosity and merriment.""The Spirit refers to the Ghost of Christmas Present, which embodies the essence of the Christmas season and serves as a guide for Scrooge.""The Spirit represents a ghostly figure guiding Scrooge through reflections related to a death, illustrating lessons about life and mortality.""The Spirit represents a supernatural being guiding Scrooge through lessons about the consequences of his actions and the future.""The Spirit represents a supernatural entity guiding Scrooge and teaching him lessons about compassion and humanity.""The Spirit refers to the Ghost of Christmas Present, which embodies the essence of the Christmas season and serves as a guide for Scrooge.""The Spirit represents a ghostly figure guiding Scrooge through reflections related to a death, illustrating lessons about life and mortality.""The Spirit represents a supernatural being guiding Scrooge through lessons about the consequences of his actions and the future.""The Spirit represents a supernatural entity guiding Scrooge and teaching him lessons about compassion and humanity.""The Spirit refers to the Ghost of Christmas Present, which embodies the essence of the Christmas season and serves as a guide for Scrooge.""The Spirit represents a ghostly figure guiding Scrooge through reflections related to a death, illustrating lessons about life and mortality.""The Spirit represents a supernatural being guiding Scrooge through lessons about the consequences of his actions and the future.""The Spirit represents a supernatural entity guiding Scrooge and teaching him lessons about compassion and humanity."', 'source_id': 'chunk-02baee20cc9463dbe08170a8e1043e32chunk-bb21d58d36c6306fd8810ddd51c4a971chunk-e7637ff18c5ded77a68cce0a87883fadchunk-83ac129dc9b56f84c46760d153d68e93chunk-843b5b2f944c7413d9ca876e2e2f151fchunk-1aa50206d02ed89418f65f97c6441d1c'}> -2024-10-30 06:04:39,893 - lightrag - DEBUG - Trigger summary: "SPIRIT" -2024-10-30 06:04:39,995 - lightrag - INFO - get_node:query:MATCH (n:`MISTLETOE`) RETURN n:result:"Mistletoe is a plant used as a Christmas decoration, symbolizing love and goodwill during the holiday season.""Mistletoe is a plant used as a Christmas decoration, symbolizing love and goodwill during the holiday season.""Mistletoe is a traditional plant used for decoration during Christmas, symbolizing joy and a festive spirit.""Mistletoe is described in the context of Christmas decorations, often used for kissing and holiday celebrations.""Mistletoe is described in the context of Christmas decorations, often used for kissing and holiday celebrations.""Mistletoe is described in the context of Christmas decorations, often used for kissing and holiday celebrations."', 'source_id': 'chunk-99b0ec7f7e006561352b5d65e849611dchunk-843b5b2f944c7413d9ca876e2e2f151f'}> -2024-10-30 06:04:40,130 - lightrag - INFO - _do_upsert:query: - MERGE (n:`MISTLETOE`) - SET n += $properties - RETURN n - :result:{'entity_type': '"ORGANIZATION"', 'description': '"Mistletoe is a plant used as a Christmas decoration, symbolizing love and goodwill during the holiday season.""Mistletoe is a plant used as a Christmas decoration, symbolizing love and goodwill during the holiday season.""Mistletoe is a plant used as a Christmas decoration, symbolizing love and goodwill during the holiday season.""Mistletoe is a plant used as a Christmas decoration, symbolizing love and goodwill during the holiday season.""Mistletoe is a traditional plant used for decoration during Christmas, symbolizing joy and a festive spirit.""Mistletoe is described in the context of Christmas decorations, often used for kissing and holiday celebrations.""Mistletoe is described in the context of Christmas decorations, often used for kissing and holiday celebrations.""Mistletoe is described in the context of Christmas decorations, often used for kissing and holiday celebrations.""Mistletoe is described in the context of Christmas decorations, often used for kissing and holiday celebrations."', 'source_id': 'chunk-843b5b2f944c7413d9ca876e2e2f151fchunk-99b0ec7f7e006561352b5d65e849611d'} -2024-10-30 06:04:40,265 - lightrag - INFO - get_node:query:MATCH (n:`RED BERRIES`) RETURN n:result:"Red Berries are decorative elements commonly used during Christmas decorations, adding color and festivity.""Red Berries are decorative elements commonly used during Christmas decorations, adding color and festivity.""Red Berries are festive decorations representing the colors of Christmas, enhancing the holiday atmosphere.""Red Berries are festive decorations representing the colors of Christmas, enhancing the holiday atmosphere.""Red Berries are festive decorations representing the colors of Christmas, enhancing the holiday atmosphere."', 'source_id': 'chunk-99b0ec7f7e006561352b5d65e849611dchunk-843b5b2f944c7413d9ca876e2e2f151f'}> -2024-10-30 06:04:40,405 - lightrag - INFO - _do_upsert:query: - MERGE (n:`RED BERRIES`) - SET n += $properties - RETURN n - :result:{'entity_type': '"ORGANIZATION"', 'description': '"Red Berries are decorative elements commonly used during Christmas decorations, adding color and festivity.""Red Berries are decorative elements commonly used during Christmas decorations, adding color and festivity.""Red Berries are decorative elements commonly used during Christmas decorations, adding color and festivity.""Red Berries are decorative elements commonly used during Christmas decorations, adding color and festivity.""Red Berries are festive decorations representing the colors of Christmas, enhancing the holiday atmosphere.""Red Berries are festive decorations representing the colors of Christmas, enhancing the holiday atmosphere.""Red Berries are festive decorations representing the colors of Christmas, enhancing the holiday atmosphere.""Red Berries are festive decorations representing the colors of Christmas, enhancing the holiday atmosphere."', 'source_id': 'chunk-843b5b2f944c7413d9ca876e2e2f151fchunk-99b0ec7f7e006561352b5d65e849611d'} -2024-10-30 06:04:40,536 - lightrag - INFO - get_node:query:MATCH (n:`TURKEYS`) RETURN n:result:"Turkeys represent a common food item associated with the Christmas feast, highlighting the culinary aspects of the celebration.""Turkeys are food items prominently featured in Christmas meals, representing a festive celebration of the holiday.""Turkeys are part of the Christmas feast, symbolizing the abundance and sharing associated with the holiday.""Turkeys are food items prominently featured in Christmas meals, representing a festive celebration of the holiday.""Turkeys are part of the Christmas feast, symbolizing the abundance and sharing associated with the holiday.""Turkeys are food items prominently featured in Christmas meals, representing a festive celebration of the holiday.""Turkeys are part of the Christmas feast, symbolizing the abundance and sharing associated with the holiday."', 'source_id': 'chunk-99b0ec7f7e006561352b5d65e849611dchunk-843b5b2f944c7413d9ca876e2e2f151f'}> -2024-10-30 06:04:40,668 - lightrag - INFO - _do_upsert:query: - MERGE (n:`TURKEYS`) - SET n += $properties - RETURN n - :result:{'entity_type': '"ORGANIZATION"', 'description': '"Turkeys are described as part of a lavish spread that symbolizes the abundance and joy of the Christmas season.""Turkeys represent a common food item associated with the Christmas feast, highlighting the culinary aspects of the celebration.""Turkeys are food items prominently featured in Christmas meals, representing a festive celebration of the holiday.""Turkeys are part of the Christmas feast, symbolizing the abundance and sharing associated with the holiday.""Turkeys are food items prominently featured in Christmas meals, representing a festive celebration of the holiday.""Turkeys are part of the Christmas feast, symbolizing the abundance and sharing associated with the holiday.""Turkeys are food items prominently featured in Christmas meals, representing a festive celebration of the holiday.""Turkeys are part of the Christmas feast, symbolizing the abundance and sharing associated with the holiday.""Turkeys are food items prominently featured in Christmas meals, representing a festive celebration of the holiday.""Turkeys are part of the Christmas feast, symbolizing the abundance and sharing associated with the holiday."', 'source_id': 'chunk-843b5b2f944c7413d9ca876e2e2f151fchunk-99b0ec7f7e006561352b5d65e849611d'} -2024-10-30 06:04:40,800 - lightrag - INFO - get_node:query:MATCH (n:`POULTRY`) RETURN n:result:"Poultry is another aspect of the Christmas feast, representing the various traditions of holiday meals.""Poultry is another aspect of the Christmas feast, representing the various traditions of holiday meals.""Poultry refers to various birds used for Christmas meals, representing the culinary traditions of the holiday.""Poultry represents a variety of birds that are often prepared for Christmas dinners, enhancing the festive festivities.""Poultry represents a variety of birds that are often prepared for Christmas dinners, enhancing the festive festivities.""Poultry represents a variety of birds that are often prepared for Christmas dinners, enhancing the festive festivities."', 'source_id': 'chunk-99b0ec7f7e006561352b5d65e849611dchunk-843b5b2f944c7413d9ca876e2e2f151f'}> -2024-10-30 06:04:40,934 - lightrag - INFO - _do_upsert:query: - MERGE (n:`POULTRY`) - SET n += $properties - RETURN n - :result:{'entity_type': '"ORGANIZATION"', 'description': '"Poultry is another aspect of the Christmas feast, representing the various traditions of holiday meals.""Poultry is another aspect of the Christmas feast, representing the various traditions of holiday meals.""Poultry is another aspect of the Christmas feast, representing the various traditions of holiday meals.""Poultry is another aspect of the Christmas feast, representing the various traditions of holiday meals.""Poultry refers to various birds used for Christmas meals, representing the culinary traditions of the holiday.""Poultry represents a variety of birds that are often prepared for Christmas dinners, enhancing the festive festivities.""Poultry represents a variety of birds that are often prepared for Christmas dinners, enhancing the festive festivities.""Poultry represents a variety of birds that are often prepared for Christmas dinners, enhancing the festive festivities.""Poultry represents a variety of birds that are often prepared for Christmas dinners, enhancing the festive festivities."', 'source_id': 'chunk-843b5b2f944c7413d9ca876e2e2f151fchunk-99b0ec7f7e006561352b5d65e849611d'} -2024-10-30 06:04:41,068 - lightrag - INFO - get_node:query:MATCH (n:`MEAT`) RETURN n:result:"Meat refers to a significant part of the Christmas feast, further emphasizing the theme of abundance during the holiday.""Meat refers to a significant part of the Christmas feast, further emphasizing the theme of abundance during the holiday.""Meat serves as a general representation of the food consumed during Christmas celebrations, contributing to the holiday meals.""Meat serves as a general representation of the food consumed during Christmas celebrations, contributing to the holiday meals.""Meat serves as a general representation of the food consumed during Christmas celebrations, contributing to the holiday meals."', 'source_id': 'chunk-99b0ec7f7e006561352b5d65e849611dchunk-843b5b2f944c7413d9ca876e2e2f151f'}> -2024-10-30 06:04:41,202 - lightrag - INFO - _do_upsert:query: - MERGE (n:`MEAT`) - SET n += $properties - RETURN n - :result:{'entity_type': '"ORGANIZATION"', 'description': '"Meat refers to a significant part of the Christmas feast, further emphasizing the theme of abundance during the holiday.""Meat refers to a significant part of the Christmas feast, further emphasizing the theme of abundance during the holiday.""Meat refers to a significant part of the Christmas feast, further emphasizing the theme of abundance during the holiday.""Meat refers to a significant part of the Christmas feast, further emphasizing the theme of abundance during the holiday.""Meat serves as a general representation of the food consumed during Christmas celebrations, contributing to the holiday meals.""Meat serves as a general representation of the food consumed during Christmas celebrations, contributing to the holiday meals.""Meat serves as a general representation of the food consumed during Christmas celebrations, contributing to the holiday meals.""Meat serves as a general representation of the food consumed during Christmas celebrations, contributing to the holiday meals."', 'source_id': 'chunk-843b5b2f944c7413d9ca876e2e2f151fchunk-99b0ec7f7e006561352b5d65e849611d'} -2024-10-30 06:04:41,335 - lightrag - INFO - get_node:query:MATCH (n:`SAUSAGES`) RETURN n:result:"Sausages are festive foods that complement the traditional Christmas meal, adding to the variety of the feast.""Sausages are festive foods that complement the traditional Christmas meal, adding to the variety of the feast.""Sausages are food items mentioned that may be served during Christmas festivities, adding to the variety of traditional foods.""Sausages contribute to the rich variety of foods present at the celebration, reflecting festive abundance.""Sausages are food items mentioned that may be served during Christmas festivities, adding to the variety of traditional foods.""Sausages are food items mentioned that may be served during Christmas festivities, adding to the variety of traditional foods."', 'source_id': 'chunk-99b0ec7f7e006561352b5d65e849611dchunk-843b5b2f944c7413d9ca876e2e2f151f'}> -2024-10-30 06:04:41,472 - lightrag - INFO - _do_upsert:query: - MERGE (n:`SAUSAGES`) - SET n += $properties - RETURN n - :result:{'entity_type': '"ORGANIZATION"', 'description': '"Sausages are festive foods that complement the traditional Christmas meal, adding to the variety of the feast.""Sausages are festive foods that complement the traditional Christmas meal, adding to the variety of the feast.""Sausages are festive foods that complement the traditional Christmas meal, adding to the variety of the feast.""Sausages are festive foods that complement the traditional Christmas meal, adding to the variety of the feast.""Sausages are food items mentioned that may be served during Christmas festivities, adding to the variety of traditional foods.""Sausages contribute to the rich variety of foods present at the celebration, reflecting festive abundance.""Sausages are food items mentioned that may be served during Christmas festivities, adding to the variety of traditional foods.""Sausages are food items mentioned that may be served during Christmas festivities, adding to the variety of traditional foods.""Sausages are food items mentioned that may be served during Christmas festivities, adding to the variety of traditional foods."', 'source_id': 'chunk-843b5b2f944c7413d9ca876e2e2f151fchunk-99b0ec7f7e006561352b5d65e849611d'} -2024-10-30 06:04:41,603 - lightrag - INFO - get_node:query:MATCH (n:`OYSTERS`) RETURN n:result:"Oysters are considered delicacies that can enhance special occasions such as Christmas, indicating celebratory dining.""Oysters are considered delicacies that can enhance special occasions such as Christmas, indicating celebratory dining.""Oysters represent a delicacy often served during Christmas, symbolizing luxury and celebration.""Oysters represent a delicacy often served during Christmas, symbolizing luxury and celebration.""Oysters represent a delicacy often served during Christmas, symbolizing luxury and celebration."', 'source_id': 'chunk-99b0ec7f7e006561352b5d65e849611dchunk-843b5b2f944c7413d9ca876e2e2f151f'}> -2024-10-30 06:04:41,739 - lightrag - INFO - _do_upsert:query: - MERGE (n:`OYSTERS`) - SET n += $properties - RETURN n - :result:{'entity_type': '"ORGANIZATION"', 'description': '"Oysters are considered delicacies that can enhance special occasions such as Christmas, indicating celebratory dining.""Oysters are considered delicacies that can enhance special occasions such as Christmas, indicating celebratory dining.""Oysters are considered delicacies that can enhance special occasions such as Christmas, indicating celebratory dining.""Oysters are considered delicacies that can enhance special occasions such as Christmas, indicating celebratory dining.""Oysters represent a delicacy often served during Christmas, symbolizing luxury and celebration.""Oysters represent a delicacy often served during Christmas, symbolizing luxury and celebration.""Oysters represent a delicacy often served during Christmas, symbolizing luxury and celebration.""Oysters represent a delicacy often served during Christmas, symbolizing luxury and celebration."', 'source_id': 'chunk-843b5b2f944c7413d9ca876e2e2f151fchunk-99b0ec7f7e006561352b5d65e849611d'} -2024-10-30 06:04:41,872 - lightrag - INFO - get_node:query:MATCH (n:`PIES`) RETURN n:result:"Pies are a traditional dessert during the Christmas season, embodying the spirit of sharing and celebration.""Pies are a traditional dessert during the Christmas season, embodying the spirit of sharing and celebration.""Pies, often sweet, are traditional desserts served during Christmas, symbolizing festive dessert offerings.""Pies, often sweet, are traditional desserts served during Christmas, symbolizing festive dessert offerings.""Pies, often sweet, are traditional desserts served during Christmas, symbolizing festive dessert offerings."', 'source_id': 'chunk-99b0ec7f7e006561352b5d65e849611dchunk-843b5b2f944c7413d9ca876e2e2f151f'}> -2024-10-30 06:04:42,008 - lightrag - INFO - _do_upsert:query: - MERGE (n:`PIES`) - SET n += $properties - RETURN n - :result:{'entity_type': '"ORGANIZATION"', 'description': '"Pies are a traditional dessert during the Christmas season, embodying the spirit of sharing and celebration.""Pies are a traditional dessert during the Christmas season, embodying the spirit of sharing and celebration.""Pies are a traditional dessert during the Christmas season, embodying the spirit of sharing and celebration.""Pies are a traditional dessert during the Christmas season, embodying the spirit of sharing and celebration.""Pies, often sweet, are traditional desserts served during Christmas, symbolizing festive dessert offerings.""Pies, often sweet, are traditional desserts served during Christmas, symbolizing festive dessert offerings.""Pies, often sweet, are traditional desserts served during Christmas, symbolizing festive dessert offerings.""Pies, often sweet, are traditional desserts served during Christmas, symbolizing festive dessert offerings."', 'source_id': 'chunk-843b5b2f944c7413d9ca876e2e2f151fchunk-99b0ec7f7e006561352b5d65e849611d'} -2024-10-30 06:04:42,137 - lightrag - INFO - get_node:query:MATCH (n:`PUDDINGS`) RETURN n:result:"Puddings are a classic Christmas dessert, symbolizing warmth and indulgence during the holiday.""Puddings are a classic Christmas dessert, symbolizing warmth and indulgence during the holiday.""Puddings are showcased as a traditional dessert during Christmas celebrations, central to holiday meals.""Puddings are showcased as a traditional dessert during Christmas celebrations, central to holiday meals.""Puddings are showcased as a traditional dessert during Christmas celebrations, central to holiday meals."', 'source_id': 'chunk-99b0ec7f7e006561352b5d65e849611dchunk-843b5b2f944c7413d9ca876e2e2f151f'}> -2024-10-30 06:04:42,271 - lightrag - INFO - _do_upsert:query: - MERGE (n:`PUDDINGS`) - SET n += $properties - RETURN n - :result:{'entity_type': '"ORGANIZATION"', 'description': '"Puddings are a classic Christmas dessert, symbolizing warmth and indulgence during the holiday.""Puddings are a classic Christmas dessert, symbolizing warmth and indulgence during the holiday.""Puddings are a classic Christmas dessert, symbolizing warmth and indulgence during the holiday.""Puddings are a classic Christmas dessert, symbolizing warmth and indulgence during the holiday.""Puddings are showcased as a traditional dessert during Christmas celebrations, central to holiday meals.""Puddings are showcased as a traditional dessert during Christmas celebrations, central to holiday meals.""Puddings are showcased as a traditional dessert during Christmas celebrations, central to holiday meals.""Puddings are showcased as a traditional dessert during Christmas celebrations, central to holiday meals."', 'source_id': 'chunk-843b5b2f944c7413d9ca876e2e2f151fchunk-99b0ec7f7e006561352b5d65e849611d'} -2024-10-30 06:04:42,400 - lightrag - INFO - get_node:query:MATCH (n:`FRUIT`) RETURN n:result:"Fruit represents a staple part of the Christmas spread, emphasizing freshness and the joy of sharing.""Fruit represents a staple part of the Christmas spread, emphasizing freshness and the joy of sharing.""Fruit represents the fresh produce that accompanies holiday meals, bringing color and variety to the Christmas table.""Fruit represents the fresh produce that accompanies holiday meals, bringing color and variety to the Christmas table.""Fruit represents the fresh produce that accompanies holiday meals, bringing color and variety to the Christmas table."', 'source_id': 'chunk-99b0ec7f7e006561352b5d65e849611dchunk-843b5b2f944c7413d9ca876e2e2f151f'}> -2024-10-30 06:04:42,535 - lightrag - INFO - _do_upsert:query: - MERGE (n:`FRUIT`) - SET n += $properties - RETURN n - :result:{'entity_type': '"ORGANIZATION"', 'description': '"Fruit represents a staple part of the Christmas spread, emphasizing freshness and the joy of sharing.""Fruit represents a staple part of the Christmas spread, emphasizing freshness and the joy of sharing.""Fruit represents a staple part of the Christmas spread, emphasizing freshness and the joy of sharing.""Fruit represents a staple part of the Christmas spread, emphasizing freshness and the joy of sharing.""Fruit represents the fresh produce that accompanies holiday meals, bringing color and variety to the Christmas table.""Fruit represents the fresh produce that accompanies holiday meals, bringing color and variety to the Christmas table.""Fruit represents the fresh produce that accompanies holiday meals, bringing color and variety to the Christmas table.""Fruit represents the fresh produce that accompanies holiday meals, bringing color and variety to the Christmas table."', 'source_id': 'chunk-843b5b2f944c7413d9ca876e2e2f151fchunk-99b0ec7f7e006561352b5d65e849611d'} -2024-10-30 06:04:42,663 - lightrag - INFO - get_node:query:MATCH (n:`PUNCH`) RETURN n:result:"Punch is a festive beverage that is often served during Christmas celebrations, adding to the holiday spirit.""Punch is a festive beverage that is often served during Christmas celebrations, adding to the holiday spirit.""Punch refers to a festive drink that is often served at Christmas gatherings, contributing to the celebration.""Punch refers to a festive drink that is often served at Christmas gatherings, contributing to the celebration.""Punch refers to a festive drink that is often served at Christmas gatherings, contributing to the celebration."', 'source_id': 'chunk-99b0ec7f7e006561352b5d65e849611dchunk-843b5b2f944c7413d9ca876e2e2f151f'}> -2024-10-30 06:04:42,797 - lightrag - INFO - _do_upsert:query: - MERGE (n:`PUNCH`) - SET n += $properties - RETURN n - :result:{'entity_type': '"ORGANIZATION"', 'description': '"Punch is a festive beverage that is often served during Christmas celebrations, adding to the holiday spirit.""Punch is a festive beverage that is often served during Christmas celebrations, adding to the holiday spirit.""Punch is a festive beverage that is often served during Christmas celebrations, adding to the holiday spirit.""Punch is a festive beverage that is often served during Christmas celebrations, adding to the holiday spirit.""Punch refers to a festive drink that is often served at Christmas gatherings, contributing to the celebration.""Punch refers to a festive drink that is often served at Christmas gatherings, contributing to the celebration.""Punch refers to a festive drink that is often served at Christmas gatherings, contributing to the celebration.""Punch refers to a festive drink that is often served at Christmas gatherings, contributing to the celebration."', 'source_id': 'chunk-843b5b2f944c7413d9ca876e2e2f151fchunk-99b0ec7f7e006561352b5d65e849611d'} -2024-10-30 06:04:42,931 - lightrag - INFO - get_node:query:MATCH (n:`ANTIQUE SCABBARD`) RETURN n:result: -2024-10-30 06:04:43,065 - lightrag - INFO - _do_upsert:query: - MERGE (n:`ANTIQUE SCABBARD`) - SET n += $properties - RETURN n - :result:{'entity_type': '"ORGANIZATION"', 'description': '"The Antique Scabbard is a symbolic object seen on the Ghost, representing the notion of protection and history."', 'source_id': 'chunk-843b5b2f944c7413d9ca876e2e2f151f'} -2024-10-30 06:04:43,192 - lightrag - INFO - get_node:query:MATCH (n:`GREAT BRITAIN`) RETURN n:result:"Great Britain is a location mentioned as having chimneys that appear to be catching fire and is the setting for a gloomy climate during Christmas time.""Great Britain is a location mentioned as having chimneys that appear to be catching fire and is the setting for a gloomy climate during Christmas time.""Great Britain is referenced as a location suffering from severe weather, which contrasts with the cheerful activities of its people during Christmas."', 'source_id': 'chunk-99b0ec7f7e006561352b5d65e849611d'}> -2024-10-30 06:04:43,328 - lightrag - INFO - _do_upsert:query: - MERGE (n:`GREAT BRITAIN`) - SET n += $properties - RETURN n - :result:{'entity_type': '"GEO"', 'description': '"Great Britain is a location mentioned as having chimneys that appear to be catching fire and is the setting for a gloomy climate during Christmas time.""Great Britain is a location mentioned as having chimneys that appear to be catching fire and is the setting for a gloomy climate during Christmas time.""Great Britain is a location mentioned as having chimneys that appear to be catching fire and is the setting for a gloomy climate during Christmas time.""Great Britain is a location mentioned as having chimneys that appear to be catching fire and is the setting for a gloomy climate during Christmas time.""Great Britain is referenced as a location suffering from severe weather, which contrasts with the cheerful activities of its people during Christmas."', 'source_id': 'chunk-99b0ec7f7e006561352b5d65e849611d'} -2024-10-30 06:04:43,458 - lightrag - INFO - get_node:query:MATCH (n:`GROCERS'`) RETURN n:result: -2024-10-30 06:04:43,594 - lightrag - INFO - _do_upsert:query: - MERGE (n:`GROCERS'`) - SET n += $properties - RETURN n - :result:{'entity_type': '"ORGANIZATION"', 'description': '"Grocers\' is an organization described as nearly closed yet bustling with eager customers, showcasing a variety of goods typical for Christmas time."', 'source_id': 'chunk-99b0ec7f7e006561352b5d65e849611d'} -2024-10-30 06:04:43,722 - lightrag - INFO - get_node:query:MATCH (n:`PEOPLE`) RETURN n:result: -2024-10-30 06:04:43,857 - lightrag - INFO - _do_upsert:query: - MERGE (n:`PEOPLE`) - SET n += $properties - RETURN n - :result:{'entity_type': '"ORGANIZATION"', 'description': '"The People represent the community celebrating Christmas, exhibiting joy, humor, and eagerness amidst the dreary weather."', 'source_id': 'chunk-99b0ec7f7e006561352b5d65e849611d'} -2024-10-30 06:04:43,990 - lightrag - INFO - get_node:query:MATCH (n:`GEESE`) RETURN n:result:"Geese are also traditional food items that may be included in Christmas feasts, adding to the holiday cheer.""Geese are also traditional food items that may be included in Christmas feasts, adding to the holiday cheer.""Geese are another traditional food item during Christmas, contributing to the festive dining experiences.""Geese are included in the festive feast, representing the bounty and celebration associated with Christmas."', 'source_id': 'chunk-843b5b2f944c7413d9ca876e2e2f151fchunk-99b0ec7f7e006561352b5d65e849611d'}> -2024-10-30 06:04:44,126 - lightrag - INFO - _do_upsert:query: - MERGE (n:`GEESE`) - SET n += $properties - RETURN n - :result:{'entity_type': '"ORGANIZATION"', 'description': '"Geese are also traditional food items that may be included in Christmas feasts, adding to the holiday cheer.""Geese are also traditional food items that may be included in Christmas feasts, adding to the holiday cheer.""Geese are also traditional food items that may be included in Christmas feasts, adding to the holiday cheer.""Geese are also traditional food items that may be included in Christmas feasts, adding to the holiday cheer.""Geese are another traditional food item during Christmas, contributing to the festive dining experiences.""Geese are included in the festive feast, representing the bounty and celebration associated with Christmas."', 'source_id': 'chunk-843b5b2f944c7413d9ca876e2e2f151fchunk-99b0ec7f7e006561352b5d65e849611d'} -2024-10-30 06:04:44,255 - lightrag - INFO - get_node:query:MATCH (n:`BRAWN`) RETURN n:result:"Brawn refers to a traditional meat dish that may be part of Christmas festivities, highlighting culinary practices of the season.""Brawn refers to a traditional meat dish that may be part of Christmas festivities, highlighting culinary practices of the season.""Brawn refers to a traditional meat dish that may be part of Christmas festivities, highlighting culinary practices of the season."', 'source_id': 'chunk-843b5b2f944c7413d9ca876e2e2f151fchunk-99b0ec7f7e006561352b5d65e849611d'}> -2024-10-30 06:04:44,389 - lightrag - INFO - _do_upsert:query: - MERGE (n:`BRAWN`) - SET n += $properties - RETURN n - :result:{'entity_type': '"ORGANIZATION"', 'description': '"Brawn is a type of meat included in the festive gathering, representing the richness of the Christmas feast.""Brawn refers to a traditional meat dish that may be part of Christmas festivities, highlighting culinary practices of the season.""Brawn refers to a traditional meat dish that may be part of Christmas festivities, highlighting culinary practices of the season.""Brawn refers to a traditional meat dish that may be part of Christmas festivities, highlighting culinary practices of the season.""Brawn refers to a traditional meat dish that may be part of Christmas festivities, highlighting culinary practices of the season."', 'source_id': 'chunk-843b5b2f944c7413d9ca876e2e2f151fchunk-99b0ec7f7e006561352b5d65e849611d'} -2024-10-30 06:04:44,521 - lightrag - INFO - get_node:query:MATCH (n:`CITY STREETS`) RETURN n:result: -2024-10-30 06:04:44,656 - lightrag - INFO - _do_upsert:query: - MERGE (n:`CITY STREETS`) - SET n += $properties - RETURN n - :result:{'entity_type': '"GEO"', 'description': '"City Streets are referenced as the setting where people are celebrating and making music, contributing to the festive atmosphere of Christmas morning."', 'source_id': 'chunk-99b0ec7f7e006561352b5d65e849611d'} -2024-10-30 06:04:44,785 - lightrag - INFO - get_node:query:MATCH (n:`SNOW`) RETURN n:result: -2024-10-30 06:04:44,919 - lightrag - INFO - _do_upsert:query: - MERGE (n:`SNOW`) - SET n += $properties - RETURN n - :result:{'entity_type': '"GEO"', 'description': '"Snow is a significant element of the Christmas setting, emphasizing the winter atmosphere and contributing to the imagery of the holiday."', 'source_id': 'chunk-99b0ec7f7e006561352b5d65e849611d'} -2024-10-30 06:04:45,048 - lightrag - INFO - get_node:query:MATCH (n:`PARAPETS`) RETURN n:result: -2024-10-30 06:04:45,180 - lightrag - INFO - _do_upsert:query: - MERGE (n:`PARAPETS`) - SET n += $properties - RETURN n - :result:{'entity_type': '"GEO"', 'description': '"Parapets are structures that people use to engage in playful activities, such as throwing snowballs during Christmas celebrations."', 'source_id': 'chunk-99b0ec7f7e006561352b5d65e849611d'} -2024-10-30 06:04:45,310 - lightrag - INFO - get_node:query:MATCH (n:`SPIRIT OF CHRISTMAS PRESENT`) RETURN n:result: -2024-10-30 06:04:45,447 - lightrag - INFO - _do_upsert:query: - MERGE (n:`SPIRIT OF CHRISTMAS PRESENT`) - SET n += $properties - RETURN n - :result:{'entity_type': '"PERSON"', 'description': '"The Spirit of Christmas Present embodies the spirit of generosity and compassion, showing Scrooge scenes of joy and festivity among the poor."', 'source_id': 'chunk-b0f459f5af1c3a5e0b92cbe4ee48b77b'} -2024-10-30 06:04:45,577 - lightrag - INFO - get_node:query:MATCH (n:`PETER CRATCHIT`) RETURN n:result:"Peter Cratchit is a member of the Cratchit family who participates in expressing their unity and happiness.""Peter Cratchit is Bob\'s son, excited about his clothing and preparing a festive meal, symbolizing youthful innocence and hope.""Peter Cratchit is one of Bob Cratchit\'s children, involved in family dynamics and interactions surrounding Tiny Tim.""Peter Cratchit is one of the Cratchit children, shown to be active and enthusiastic during the Christmas celebration.""Peter Cratchit is the eldest son of Bob and Mrs. Cratchit, who is portrayed as contemplative about his future as he considers a potential job opportunity.""Peter Cratchit is Bob\'s son, excited about his clothing and preparing a festive meal, symbolizing youthful innocence and hope.""Peter Cratchit is one of Bob Cratchit\'s children, involved in family dynamics and interactions surrounding Tiny Tim.""Peter Cratchit is one of the Cratchit children, shown to be active and enthusiastic during the Christmas celebration.""Peter Cratchit is the eldest son of Bob and Mrs. Cratchit, who is portrayed as contemplative about his future as he considers a potential job opportunity.""Peter Cratchit is Bob\'s son, excited about his clothing and preparing a festive meal, symbolizing youthful innocence and hope.""Peter Cratchit is one of Bob Cratchit\'s children, involved in family dynamics and interactions surrounding Tiny Tim.""Peter Cratchit is one of the Cratchit children, shown to be active and enthusiastic during the Christmas celebration.""Peter Cratchit is the eldest son of Bob and Mrs. Cratchit, who is portrayed as contemplative about his future as he considers a potential job opportunity."', 'source_id': 'chunk-91572b3cd42786ba4cb2f180ca25cbf4chunk-b0f459f5af1c3a5e0b92cbe4ee48b77bchunk-7e2e7ebcc19a53b399dc03aded4743e7chunk-19d72c57ae3408758b18d2568e86dc6b'}> -2024-10-30 06:04:45,579 - lightrag - DEBUG - Trigger summary: "PETER CRATCHIT" -2024-10-30 06:04:45,678 - lightrag - INFO - get_node:query:MATCH (n:`THE CRATCHIT HOUSEHOLD`) RETURN n:result: -2024-10-30 06:04:45,811 - lightrag - INFO - _do_upsert:query: - MERGE (n:`THE CRATCHIT HOUSEHOLD`) - SET n += $properties - RETURN n - :result:{'entity_type': '"ORGANIZATION"', 'description': '"The Cratchit Household represents a loving family unit, managing to find joy despite their financial struggles."', 'source_id': 'chunk-b0f459f5af1c3a5e0b92cbe4ee48b77b'} -2024-10-30 06:04:45,940 - lightrag - INFO - get_node:query:MATCH (n:`CHRISTMAS DAY`) RETURN n:result:"Christmas Day is a significant holiday that marks the time of Scrooge\'s revelation and intent to change.""Christmas Day is celebrated by the Cratchit family with a communal meal and expressions of joy and togetherness, highlighting the importance of family and gratitude.""Christmas Day serves as the central event around which the family gathers and reflects on their feelings towards Scrooge.""Christmas Day is portrayed as a day of celebration and gathering, emphasizing themes of togetherness and generosity.""Christmas Day serves as a central event for the gathering of the Cratchit family, filled with mixed feelings about their employer, Scrooge.""Christmas Day serves as the backdrop for Scrooge\'s transformation, representing joy, celebration, and new beginnings.""Christmas Day is portrayed as a day of celebration and gathering, emphasizing themes of togetherness and generosity.""Christmas Day serves as a central event for the gathering of the Cratchit family, filled with mixed feelings about their employer, Scrooge.""Christmas Day serves as the backdrop for Scrooge\'s transformation, representing joy, celebration, and new beginnings.""Christmas Day is portrayed as a day of celebration and gathering, emphasizing themes of togetherness and generosity.""Christmas Day serves as a central event for the gathering of the Cratchit family, filled with mixed feelings about their employer, Scrooge.""Christmas Day serves as the backdrop for Scrooge\'s transformation, representing joy, celebration, and new beginnings."', 'source_id': 'chunk-90b95db5c53e4364a6bee36b7aa4d70fchunk-7e2e7ebcc19a53b399dc03aded4743e7chunk-b0f459f5af1c3a5e0b92cbe4ee48b77bchunk-19d72c57ae3408758b18d2568e86dc6b'}> -2024-10-30 06:04:46,074 - lightrag - INFO - _do_upsert:query: - MERGE (n:`CHRISTMAS DAY`) - SET n += $properties - RETURN n - :result:{'entity_type': '"EVENT"', 'description': '"Christmas Day is a holiday during which the characters express joy and the significance of communal dining.""Christmas Day is a significant holiday that marks the time of Scrooge\'s revelation and intent to change.""Christmas Day is celebrated by the Cratchit family with a communal meal and expressions of joy and togetherness, highlighting the importance of family and gratitude.""Christmas Day serves as the central event around which the family gathers and reflects on their feelings towards Scrooge.""Christmas Day is portrayed as a day of celebration and gathering, emphasizing themes of togetherness and generosity.""Christmas Day serves as a central event for the gathering of the Cratchit family, filled with mixed feelings about their employer, Scrooge.""Christmas Day serves as the backdrop for Scrooge\'s transformation, representing joy, celebration, and new beginnings.""Christmas Day is portrayed as a day of celebration and gathering, emphasizing themes of togetherness and generosity.""Christmas Day serves as a central event for the gathering of the Cratchit family, filled with mixed feelings about their employer, Scrooge.""Christmas Day serves as the backdrop for Scrooge\'s transformation, representing joy, celebration, and new beginnings.""Christmas Day is portrayed as a day of celebration and gathering, emphasizing themes of togetherness and generosity.""Christmas Day serves as a central event for the gathering of the Cratchit family, filled with mixed feelings about their employer, Scrooge.""Christmas Day serves as the backdrop for Scrooge\'s transformation, representing joy, celebration, and new beginnings.""Christmas Day is portrayed as a day of celebration and gathering, emphasizing themes of togetherness and generosity.""Christmas Day serves as a central event for the gathering of the Cratchit family, filled with mixed feelings about their employer, Scrooge.""Christmas Day serves as the backdrop for Scrooge\'s transformation, representing joy, celebration, and new beginnings."', 'source_id': 'chunk-7e2e7ebcc19a53b399dc03aded4743e7chunk-b0f459f5af1c3a5e0b92cbe4ee48b77bchunk-19d72c57ae3408758b18d2568e86dc6bchunk-90b95db5c53e4364a6bee36b7aa4d70f'} -2024-10-30 06:04:46,205 - lightrag - INFO - get_node:query:MATCH (n:`THE GROCER`) RETURN n:result: -2024-10-30 06:04:46,342 - lightrag - INFO - _do_upsert:query: - MERGE (n:`THE GROCER`) - SET n += $properties - RETURN n - :result:{'entity_type': '"PERSON"', 'description': '"The Grocer is depicted as a welcoming figure who interacts with customers in a friendly manner, symbolizing community spirit."', 'source_id': 'chunk-b0f459f5af1c3a5e0b92cbe4ee48b77b'} -2024-10-30 06:04:46,472 - lightrag - INFO - get_node:query:MATCH (n:`THE PEOPLE`) RETURN n:result:"The People refer to the townsfolk whom Scrooge encounters, showcasing the communal spirit of Christmas.""The People refer to the townsfolk whom Scrooge encounters, showcasing the communal spirit of Christmas.""The People refers to the inhabitants of the quarter, characterized by their desperate living conditions and societal challenges.""The People represent the townsfolk who come together in celebration during the Christmas season, highlighting communal joy and participation.""The People represent the various individuals Scrooge encounters during his joyful walk, symbolizing community and shared happiness.""The People refers to the inhabitants of the quarter, characterized by their desperate living conditions and societal challenges.""The People represent the townsfolk who come together in celebration during the Christmas season, highlighting communal joy and participation.""The People refers to the inhabitants of the quarter, characterized by their desperate living conditions and societal challenges.""The People represent the townsfolk who come together in celebration during the Christmas season, highlighting communal joy and participation."', 'source_id': 'chunk-f1a4fbcf1ed86864b9bfd5e8dba4c683chunk-8f738cb25d60a7dab782162d9d0a25edchunk-b0f459f5af1c3a5e0b92cbe4ee48b77b'}> -2024-10-30 06:04:46,607 - lightrag - INFO - _do_upsert:query: - MERGE (n:`THE PEOPLE`) - SET n += $properties - RETURN n - :result:{'entity_type': '"ORGANIZATION"', 'description': '"The People refer to the townsfolk whom Scrooge encounters, showcasing the communal spirit of Christmas.""The People refer to the townsfolk whom Scrooge encounters, showcasing the communal spirit of Christmas.""The People refer to the townsfolk whom Scrooge encounters, showcasing the communal spirit of Christmas.""The People refer to the townsfolk whom Scrooge encounters, showcasing the communal spirit of Christmas.""The People refers to the inhabitants of the quarter, characterized by their desperate living conditions and societal challenges.""The People represent the townsfolk who come together in celebration during the Christmas season, highlighting communal joy and participation.""The People represent the various individuals Scrooge encounters during his joyful walk, symbolizing community and shared happiness.""The People refers to the inhabitants of the quarter, characterized by their desperate living conditions and societal challenges.""The People represent the townsfolk who come together in celebration during the Christmas season, highlighting communal joy and participation.""The People refers to the inhabitants of the quarter, characterized by their desperate living conditions and societal challenges.""The People represent the townsfolk who come together in celebration during the Christmas season, highlighting communal joy and participation.""The People refers to the inhabitants of the quarter, characterized by their desperate living conditions and societal challenges.""The People represent the townsfolk who come together in celebration during the Christmas season, highlighting communal joy and participation."', 'source_id': 'chunk-f1a4fbcf1ed86864b9bfd5e8dba4c683chunk-b0f459f5af1c3a5e0b92cbe4ee48b77bchunk-8f738cb25d60a7dab782162d9d0a25ed'} -2024-10-30 06:04:46,739 - lightrag - INFO - get_node:query:MATCH (n:`THE SPIRIT'S TORCH`) RETURN n:result:"The Spirit\'s Torch is a unique tool used by the Spirit of Christmas Present to sprinkle blessings and create goodwill among people.""The Spirit\'s Torch is a unique tool used by the Spirit of Christmas Present to sprinkle blessings and create goodwill among people.""The Spirit\'s Torch symbolizes the joy and magic of the Christmas spirit, illuminating the family\'s happiness despite their hardships.""The Spirit\'s Torch symbolizes the joy and magic of the Christmas spirit, illuminating the family\'s happiness despite their hardships.""The Spirit\'s Torch symbolizes the joy and magic of the Christmas spirit, illuminating the family\'s happiness despite their hardships."', 'source_id': 'chunk-b0f459f5af1c3a5e0b92cbe4ee48b77bchunk-19d72c57ae3408758b18d2568e86dc6b'}> -2024-10-30 06:04:46,875 - lightrag - INFO - _do_upsert:query: - MERGE (n:`THE SPIRIT'S TORCH`) - SET n += $properties - RETURN n - :result:{'entity_type': '"TECHNOLOGY"', 'description': '"The Spirit\'s Torch is a unique tool used by the Spirit of Christmas Present to sprinkle blessings and create goodwill among people.""The Spirit\'s Torch is a unique tool used by the Spirit of Christmas Present to sprinkle blessings and create goodwill among people.""The Spirit\'s Torch is a unique tool used by the Spirit of Christmas Present to sprinkle blessings and create goodwill among people.""The Spirit\'s Torch is a unique tool used by the Spirit of Christmas Present to sprinkle blessings and create goodwill among people.""The Spirit\'s Torch symbolizes the joy and magic of the Christmas spirit, illuminating the family\'s happiness despite their hardships.""The Spirit\'s Torch symbolizes the joy and magic of the Christmas spirit, illuminating the family\'s happiness despite their hardships.""The Spirit\'s Torch symbolizes the joy and magic of the Christmas spirit, illuminating the family\'s happiness despite their hardships.""The Spirit\'s Torch symbolizes the joy and magic of the Christmas spirit, illuminating the family\'s happiness despite their hardships."', 'source_id': 'chunk-b0f459f5af1c3a5e0b92cbe4ee48b77bchunk-19d72c57ae3408758b18d2568e86dc6b'} -2024-10-30 06:04:47,006 - lightrag - INFO - get_node:query:MATCH (n:`THE BAKER'S SHOP`) RETURN n:result: -2024-10-30 06:04:47,139 - lightrag - INFO - _do_upsert:query: - MERGE (n:`THE BAKER'S SHOP`) - SET n += $properties - RETURN n - :result:{'entity_type': '"ORGANIZATION"', 'description': '"The Baker\'s Shop is a significant location where townspeople gather to procure their meals, indicating a hub of community activity."', 'source_id': 'chunk-b0f459f5af1c3a5e0b92cbe4ee48b77b'} -2024-10-30 06:04:47,267 - lightrag - INFO - get_node:query:MATCH (n:`DINNERS`) RETURN n:result:"Dinners refer to the meals shared by families on Christmas Day, representing the joy and nourishment that bring people together.""Dinners refer to the meals shared by families on Christmas Day, representing the joy and nourishment that bring people together.""Dinners represent the communal and familial gatherings that occur during Christmas, emphasized in the text as significant for enjoyment and sharing."', 'source_id': 'chunk-b0f459f5af1c3a5e0b92cbe4ee48b77b'}> -2024-10-30 06:04:47,402 - lightrag - INFO - _do_upsert:query: - MERGE (n:`DINNERS`) - SET n += $properties - RETURN n - :result:{'entity_type': '"EVENT"', 'description': '"Dinners refer to the meals shared by families on Christmas Day, representing the joy and nourishment that bring people together.""Dinners refer to the meals shared by families on Christmas Day, representing the joy and nourishment that bring people together.""Dinners refer to the meals shared by families on Christmas Day, representing the joy and nourishment that bring people together.""Dinners refer to the meals shared by families on Christmas Day, representing the joy and nourishment that bring people together.""Dinners represent the communal and familial gatherings that occur during Christmas, emphasized in the text as significant for enjoyment and sharing."', 'source_id': 'chunk-b0f459f5af1c3a5e0b92cbe4ee48b77b'} -2024-10-30 06:04:47,531 - lightrag - INFO - get_node:query:MATCH (n:`THE STREETS`) RETURN n:result: -2024-10-30 06:04:47,666 - lightrag - INFO - _do_upsert:query: - MERGE (n:`THE STREETS`) - SET n += $properties - RETURN n - :result:{'entity_type': '"GEO"', 'description': '"The Streets are the setting for the gatherings and interactions of townspeople during Christmas, showcasing the festive atmosphere."', 'source_id': 'chunk-b0f459f5af1c3a5e0b92cbe4ee48b77b'} -2024-10-30 06:04:47,797 - lightrag - INFO - get_node:query:MATCH (n:`THE SUBURBS`) RETURN n:result: -2024-10-30 06:04:47,932 - lightrag - INFO - _do_upsert:query: - MERGE (n:`THE SUBURBS`) - SET n += $properties - RETURN n - :result:{'entity_type': '"GEO"', 'description': '"The Suburbs are depicted as the area where the Spirit takes Scrooge to observe the lives of the less fortunate, emphasizing social issues."', 'source_id': 'chunk-b0f459f5af1c3a5e0b92cbe4ee48b77b'} -2024-10-30 06:04:48,065 - lightrag - INFO - get_node:query:MATCH (n:`THE NIGHT`) RETURN n:result: -2024-10-30 06:04:48,197 - lightrag - INFO - _do_upsert:query: - MERGE (n:`THE NIGHT`) - SET n += $properties - RETURN n - :result:{'entity_type': '"EVENT"', 'description': '"The Night, particularly Christmas Eve, is framed as a time for reflection and celebration as families prepare for the festivities."', 'source_id': 'chunk-b0f459f5af1c3a5e0b92cbe4ee48b77b'} -2024-10-30 06:04:48,329 - lightrag - INFO - get_node:query:MATCH (n:`CRATCHIT FAMILY`) RETURN n:result:"The Cratchit Family consists of Bob, Mrs. Cratchit, and their children, embodying themes of family unity and contentment despite hardships.""The Cratchit Family consists of Bob, Mrs. Cratchit, and their children, embodying themes of family unity and contentment despite hardships.""The Cratchit Family is a close-knit family characterized by love and togetherness, celebrating Christmas with simple but joyful traditions.""The Cratchit Family is portrayed as a close-knit group who, despite their hardships, find joy and gratitude during the Christmas gathering.""The Cratchit Family is portrayed as a loving unit celebrating Christmas together, with various members actively participating in the festivities.""The Cratchit family represents a unit bound by love and resilience in the face of adversity, dealing with emotional and financial struggles.""The Cratchit Family is depicted as a warm and loving household celebrating Christmas together, with various members actively participating in the festivities.""The Cratchit Family is depicted as a warm and loving household celebrating Christmas together, with various members actively participating in the festivities.""The Cratchit Family is depicted as a warm and loving household celebrating Christmas together, with various members actively participating in the festivities."', 'source_id': 'chunk-503f0bfa5453467c7c61d160a3540ecachunk-7e2e7ebcc19a53b399dc03aded4743e7chunk-19d72c57ae3408758b18d2568e86dc6bchunk-83ac129dc9b56f84c46760d153d68e93'}> -2024-10-30 06:04:48,465 - lightrag - INFO - _do_upsert:query: - MERGE (n:`CRATCHIT FAMILY`) - SET n += $properties - RETURN n - :result:{'entity_type': '"ORGANIZATION"', 'description': '"The Cratchit Family consists of Bob, Mrs. Cratchit, and their children, embodying themes of family unity and contentment despite hardships.""The Cratchit Family consists of Bob, Mrs. Cratchit, and their children, embodying themes of family unity and contentment despite hardships.""The Cratchit Family consists of Bob, Mrs. Cratchit, and their children, embodying themes of family unity and contentment despite hardships.""The Cratchit Family consists of Bob, Mrs. Cratchit, and their children, embodying themes of family unity and contentment despite hardships.""The Cratchit Family is a close-knit family characterized by love and togetherness, celebrating Christmas with simple but joyful traditions.""The Cratchit Family is portrayed as a close-knit group who, despite their hardships, find joy and gratitude during the Christmas gathering.""The Cratchit Family is portrayed as a loving unit celebrating Christmas together, with various members actively participating in the festivities.""The Cratchit family represents a unit bound by love and resilience in the face of adversity, dealing with emotional and financial struggles.""The Cratchit Family is depicted as a warm and loving household celebrating Christmas together, with various members actively participating in the festivities.""The Cratchit Family is depicted as a warm and loving household celebrating Christmas together, with various members actively participating in the festivities.""The Cratchit Family is depicted as a warm and loving household celebrating Christmas together, with various members actively participating in the festivities.""The Cratchit Family is depicted as a warm and loving household celebrating Christmas together, with various members actively participating in the festivities."', 'source_id': 'chunk-7e2e7ebcc19a53b399dc03aded4743e7chunk-19d72c57ae3408758b18d2568e86dc6bchunk-503f0bfa5453467c7c61d160a3540ecachunk-83ac129dc9b56f84c46760d153d68e93'} -2024-10-30 06:04:48,599 - lightrag - INFO - get_node:query:MATCH (n:`MARTHA`) RETURN n:result:"Martha is the daughter in the Cratchit family, who makes a dramatic entrance to surprise her family, highlighting the family\'s closeness.""Martha is the daughter in the Cratchit family, who makes a dramatic entrance to surprise her family, highlighting the family\'s closeness.""Martha is the daughter in the Cratchit family, who makes a dramatic entrance to surprise her family, highlighting the family\'s closeness."', 'source_id': 'chunk-7e2e7ebcc19a53b399dc03aded4743e7chunk-19d72c57ae3408758b18d2568e86dc6b'}> -2024-10-30 06:04:48,733 - lightrag - INFO - _do_upsert:query: - MERGE (n:`MARTHA`) - SET n += $properties - RETURN n - :result:{'entity_type': '"PERSON"', 'description': '"Martha is a poor apprentice at a milliner\'s and shares her experience with the family during their Christmas gathering, contributing to the family atmosphere.""Martha is the daughter in the Cratchit family, who makes a dramatic entrance to surprise her family, highlighting the family\'s closeness.""Martha is the daughter in the Cratchit family, who makes a dramatic entrance to surprise her family, highlighting the family\'s closeness.""Martha is the daughter in the Cratchit family, who makes a dramatic entrance to surprise her family, highlighting the family\'s closeness.""Martha is the daughter in the Cratchit family, who makes a dramatic entrance to surprise her family, highlighting the family\'s closeness."', 'source_id': 'chunk-7e2e7ebcc19a53b399dc03aded4743e7chunk-19d72c57ae3408758b18d2568e86dc6b'} -2024-10-30 06:04:48,866 - lightrag - INFO - get_node:query:MATCH (n:`CRATCHIT CHRISTMAS DINNER`) RETURN n:result: -2024-10-30 06:04:49,001 - lightrag - INFO - _do_upsert:query: - MERGE (n:`CRATCHIT CHRISTMAS DINNER`) - SET n += $properties - RETURN n - :result:{'entity_type': '"EVENT"', 'description': '"Cratchit Christmas Dinner is a festive occasion filled with joy, love, and togetherness as the family celebrates the holiday."', 'source_id': 'chunk-7e2e7ebcc19a53b399dc03aded4743e7'} -2024-10-30 06:04:49,130 - lightrag - INFO - get_node:query:MATCH (n:`THE GOOSE`) RETURN n:result:"The Goose is a central dish enjoyed by the Cratchit family during their Christmas dinner, symbolizing abundance and celebration.""The Goose is a central dish enjoyed by the Cratchit family during their Christmas dinner, symbolizing abundance and celebration.""The Goose is a central element of the Cratchit Christmas dinner, representing abundance and the joy of the holiday as the family eagerly anticipates its serving.""The Goose is a central part of the Cratchit family Christmas dinner, which they celebrate with excitement and anticipation, symbolizing abundance and joy.""The Goose is a central element of the Cratchit Christmas dinner, representing abundance and the joy of the holiday as the family eagerly anticipates its serving.""The Goose is a central element of the Cratchit Christmas dinner, representing abundance and the joy of the holiday as the family eagerly anticipates its serving."', 'source_id': 'chunk-503f0bfa5453467c7c61d160a3540ecachunk-7e2e7ebcc19a53b399dc03aded4743e7'}> -2024-10-30 06:04:49,262 - lightrag - INFO - _do_upsert:query: - MERGE (n:`THE GOOSE`) - SET n += $properties - RETURN n - :result:{'entity_type': '"EVENT"', 'description': '"The Goose is a central dish enjoyed by the Cratchit family during their Christmas dinner, symbolizing abundance and celebration.""The Goose is a central dish enjoyed by the Cratchit family during their Christmas dinner, symbolizing abundance and celebration.""The Goose is a central dish enjoyed by the Cratchit family during their Christmas dinner, symbolizing abundance and celebration.""The Goose is a central dish enjoyed by the Cratchit family during their Christmas dinner, symbolizing abundance and celebration.""The Goose is a central element of the Cratchit Christmas dinner, representing abundance and the joy of the holiday as the family eagerly anticipates its serving.""The Goose is a central part of the Cratchit family Christmas dinner, which they celebrate with excitement and anticipation, symbolizing abundance and joy.""The Goose is a central element of the Cratchit Christmas dinner, representing abundance and the joy of the holiday as the family eagerly anticipates its serving.""The Goose is a central element of the Cratchit Christmas dinner, representing abundance and the joy of the holiday as the family eagerly anticipates its serving.""The Goose is a central element of the Cratchit Christmas dinner, representing abundance and the joy of the holiday as the family eagerly anticipates its serving."', 'source_id': 'chunk-7e2e7ebcc19a53b399dc03aded4743e7chunk-503f0bfa5453467c7c61d160a3540eca'} -2024-10-30 06:04:49,391 - lightrag - INFO - get_node:query:MATCH (n:`THE YOUNG CRATCHITS`) RETURN n:result: -2024-10-30 06:04:49,526 - lightrag - INFO - _do_upsert:query: - MERGE (n:`THE YOUNG CRATCHITS`) - SET n += $properties - RETURN n - :result:{'entity_type': '"ORGANIZATION"', 'description': '"The Young Cratchits are the children in the Cratchit family who contribute to the lively atmosphere, expressing excitement and involvement in the Christmas celebrations."', 'source_id': 'chunk-7e2e7ebcc19a53b399dc03aded4743e7'} -2024-10-30 06:04:49,655 - lightrag - INFO - get_node:query:MATCH (n:`THE PUDDING`) RETURN n:result:"The Pudding is a special dessert made by Mrs. Cratchit, described as hard and firm, and is a source of pride and excitement for the family.""The Pudding is a special dessert made by Mrs. Cratchit, described as hard and firm, and is a source of pride and excitement for the family.""The Pudding is a traditional dish prepared for Christmas, symbolizing festivity and the warmth of family gatherings.""The Pudding is a traditional dish served at the Cratchit Christmas dinner, symbolizing festive joy and family gatherings.""The Pudding is a traditional dish served at the Cratchit Christmas dinner, symbolizing festive joy and family gatherings.""The Pudding is a traditional dish served at the Cratchit Christmas dinner, symbolizing festive joy and family gatherings."', 'source_id': 'chunk-503f0bfa5453467c7c61d160a3540ecachunk-7e2e7ebcc19a53b399dc03aded4743e7chunk-90d5764e301321c087f5a8f78b73a145'}> -2024-10-30 06:04:49,789 - lightrag - INFO - _do_upsert:query: - MERGE (n:`THE PUDDING`) - SET n += $properties - RETURN n - :result:{'entity_type': '"EVENT"', 'description': '"The Pudding is a special dessert made by Mrs. Cratchit, described as hard and firm, and is a source of pride and excitement for the family.""The Pudding is a special dessert made by Mrs. Cratchit, described as hard and firm, and is a source of pride and excitement for the family.""The Pudding is a special dessert made by Mrs. Cratchit, described as hard and firm, and is a source of pride and excitement for the family.""The Pudding is a special dessert made by Mrs. Cratchit, described as hard and firm, and is a source of pride and excitement for the family.""The Pudding is a traditional dish prepared for Christmas, symbolizing festivity and the warmth of family gatherings.""The Pudding is a traditional dish served at the Cratchit Christmas dinner, symbolizing festive joy and family gatherings.""The Pudding is a traditional dish served at the Cratchit Christmas dinner, symbolizing festive joy and family gatherings.""The Pudding is a traditional dish served at the Cratchit Christmas dinner, symbolizing festive joy and family gatherings.""The Pudding is a traditional dish served at the Cratchit Christmas dinner, symbolizing festive joy and family gatherings."', 'source_id': 'chunk-7e2e7ebcc19a53b399dc03aded4743e7chunk-90d5764e301321c087f5a8f78b73a145chunk-503f0bfa5453467c7c61d160a3540eca'} -2024-10-30 06:04:49,924 - lightrag - INFO - get_node:query:MATCH (n:`THE FIRE`) RETURN n:result:"The Fire represents warmth and comfort in the Cratchit household, inviting family members to gather around during their Christmas celebration.""The Fire represents warmth and comfort in the Cratchit household, inviting family members to gather around during their Christmas celebration.""The Fire represents warmth and comfort in the Cratchit household, inviting family members to gather around during their Christmas celebration."', 'source_id': 'chunk-7e2e7ebcc19a53b399dc03aded4743e7chunk-773d0df1dd25c356f7b771d780583e09'}> -2024-10-30 06:04:50,058 - lightrag - INFO - _do_upsert:query: - MERGE (n:`THE FIRE`) - SET n += $properties - RETURN n - :result:{'entity_type': '"EVENT"', 'description': '"The Fire represents warmth and comfort during the family gathering, enhancing the atmosphere of camaraderie.""The Fire represents warmth and comfort in the Cratchit household, inviting family members to gather around during their Christmas celebration.""The Fire represents warmth and comfort in the Cratchit household, inviting family members to gather around during their Christmas celebration.""The Fire represents warmth and comfort in the Cratchit household, inviting family members to gather around during their Christmas celebration.""The Fire represents warmth and comfort in the Cratchit household, inviting family members to gather around during their Christmas celebration."', 'source_id': 'chunk-7e2e7ebcc19a53b399dc03aded4743e7chunk-773d0df1dd25c356f7b771d780583e09'} -2024-10-30 06:04:50,192 - lightrag - INFO - get_node:query:MATCH (n:`THE DINNER`) RETURN n:result:"The Dinner is a festive event where the Cratchit family gathers to enjoy a meal, including a special goose and pudding, symbolizing their togetherness.""The Dinner is a festive event where the Cratchit family gathers to enjoy a meal, including a special goose and pudding, symbolizing their togetherness.""The Dinner is a social event characterized by laughter, music, and discussions about Scrooge, portraying a festive Christmas gathering."', 'source_id': 'chunk-503f0bfa5453467c7c61d160a3540ecachunk-773d0df1dd25c356f7b771d780583e09'}> -2024-10-30 06:04:50,328 - lightrag - INFO - _do_upsert:query: - MERGE (n:`THE DINNER`) - SET n += $properties - RETURN n - :result:{'entity_type': '"EVENT"', 'description': '"The Dinner is a festive event where the Cratchit family gathers to enjoy a meal, including a special goose and pudding, symbolizing their togetherness.""The Dinner is a festive event where the Cratchit family gathers to enjoy a meal, including a special goose and pudding, symbolizing their togetherness.""The Dinner is a festive event where the Cratchit family gathers to enjoy a meal, including a special goose and pudding, symbolizing their togetherness.""The Dinner is a festive event where the Cratchit family gathers to enjoy a meal, including a special goose and pudding, symbolizing their togetherness.""The Dinner is a social event characterized by laughter, music, and discussions about Scrooge, portraying a festive Christmas gathering."', 'source_id': 'chunk-503f0bfa5453467c7c61d160a3540ecachunk-773d0df1dd25c356f7b771d780583e09'} -2024-10-30 06:04:50,461 - lightrag - INFO - get_node:query:MATCH (n:`MISS BELINDA`) RETURN n:result: -2024-10-30 06:04:50,594 - lightrag - INFO - _do_upsert:query: - MERGE (n:`MISS BELINDA`) - SET n += $properties - RETURN n - :result:{'entity_type': '"PERSON"', 'description': '"Miss Belinda is a member of the Cratchit family who assists in the dinner preparations, specifically changing the plates."', 'source_id': 'chunk-503f0bfa5453467c7c61d160a3540eca'} -2024-10-30 06:04:50,723 - lightrag - INFO - get_node:query:MATCH (n:`THE FOUNDER OF THE FEAST`) RETURN n:result: -2024-10-30 06:04:50,857 - lightrag - INFO - _do_upsert:query: - MERGE (n:`THE FOUNDER OF THE FEAST`) - SET n += $properties - RETURN n - :result:{'entity_type': '"TITLE"', 'description': '"The Founder of the Feast refers to Scrooge, whom Bob Cratchit acknowledges during the Christmas dinner, signifying gratitude toward Scrooge\'s provision for the meal."', 'source_id': 'chunk-503f0bfa5453467c7c61d160a3540eca'} -2024-10-30 06:04:50,986 - lightrag - INFO - get_node:query:MATCH (n:`THE COUNTESS`) RETURN n:result:"The Countess is mentioned by Martha, indicating an encounter that highlights the social stratification and aspirations of the Cratchit family.""The Countess is mentioned by Martha, indicating an encounter that highlights the social stratification and aspirations of the Cratchit family.""The Countess is referenced by Martha, showcasing her interaction with figures of higher social status, contrasting with the Cratchit family\'s situation."', 'source_id': 'chunk-19d72c57ae3408758b18d2568e86dc6b'}> -2024-10-30 06:04:51,123 - lightrag - INFO - _do_upsert:query: - MERGE (n:`THE COUNTESS`) - SET n += $properties - RETURN n - :result:{'entity_type': '"PERSON"', 'description': '"The Countess is mentioned by Martha, indicating an encounter that highlights the social stratification and aspirations of the Cratchit family.""The Countess is mentioned by Martha, indicating an encounter that highlights the social stratification and aspirations of the Cratchit family.""The Countess is mentioned by Martha, indicating an encounter that highlights the social stratification and aspirations of the Cratchit family.""The Countess is mentioned by Martha, indicating an encounter that highlights the social stratification and aspirations of the Cratchit family.""The Countess is referenced by Martha, showcasing her interaction with figures of higher social status, contrasting with the Cratchit family\'s situation."', 'source_id': 'chunk-19d72c57ae3408758b18d2568e86dc6b'} -2024-10-30 06:04:51,253 - lightrag - INFO - get_node:query:MATCH (n:`THE LORD`) RETURN n:result:"The Lord is referenced in Martha\'s account of her work, underscoring the contrast between the Cratchit family\'s modest means and the nobility.""The Lord is referenced in Martha\'s account of her work, underscoring the contrast between the Cratchit family\'s modest means and the nobility.""The Lord is referenced in Martha\'s account of her work, underscoring the contrast between the Cratchit family\'s modest means and the nobility."', 'source_id': 'chunk-19d72c57ae3408758b18d2568e86dc6b'}> -2024-10-30 06:04:51,388 - lightrag - INFO - _do_upsert:query: - MERGE (n:`THE LORD`) - SET n += $properties - RETURN n - :result:{'entity_type': '"PERSON"', 'description': '"The Lord is mentioned by Martha as someone she encountered, illustrating her experiences outside her family\'s struggles.""The Lord is referenced in Martha\'s account of her work, underscoring the contrast between the Cratchit family\'s modest means and the nobility.""The Lord is referenced in Martha\'s account of her work, underscoring the contrast between the Cratchit family\'s modest means and the nobility.""The Lord is referenced in Martha\'s account of her work, underscoring the contrast between the Cratchit family\'s modest means and the nobility.""The Lord is referenced in Martha\'s account of her work, underscoring the contrast between the Cratchit family\'s modest means and the nobility."', 'source_id': 'chunk-19d72c57ae3408758b18d2568e86dc6b'} -2024-10-30 06:04:51,521 - lightrag - INFO - get_node:query:MATCH (n:`THE GATHERING`) RETURN n:result: -2024-10-30 06:04:51,653 - lightrag - INFO - _do_upsert:query: - MERGE (n:`THE GATHERING`) - SET n += $properties - RETURN n - :result:{'entity_type': '"EVENT"', 'description': '"The Gathering refers to the collective event of the family coming together to celebrate Christmas, filled with warmth and camaraderie despite their struggles."', 'source_id': 'chunk-19d72c57ae3408758b18d2568e86dc6b'} -2024-10-30 06:04:51,788 - lightrag - INFO - get_node:query:MATCH (n:`THE LIGHTHOUSE`) RETURN n:result:"The Lighthouse serves as a solitary structure representing hope and guidance amid a stormy sea, populated by individuals celebrating Christmas.""The Lighthouse serves as a solitary structure representing hope and guidance amid a stormy sea, populated by individuals celebrating Christmas.""The Lighthouse serves as a solitary structure representing hope and guidance amid a stormy sea, populated by individuals celebrating Christmas."', 'source_id': 'chunk-91614df5cb74cbe5e109a338a82041e9'}> -2024-10-30 06:04:51,925 - lightrag - INFO - _do_upsert:query: - MERGE (n:`THE LIGHTHOUSE`) - SET n += $properties - RETURN n - :result:{'entity_type': '"GEO"', 'description': '"The Lighthouse is a solitary structure standing on a reef, symbolizing hope and guidance amidst the tumultuous sea.""The Lighthouse serves as a solitary structure representing hope and guidance amid a stormy sea, populated by individuals celebrating Christmas.""The Lighthouse serves as a solitary structure representing hope and guidance amid a stormy sea, populated by individuals celebrating Christmas.""The Lighthouse serves as a solitary structure representing hope and guidance amid a stormy sea, populated by individuals celebrating Christmas.""The Lighthouse serves as a solitary structure representing hope and guidance amid a stormy sea, populated by individuals celebrating Christmas."', 'source_id': 'chunk-91614df5cb74cbe5e109a338a82041e9'} -2024-10-30 06:04:52,060 - lightrag - INFO - get_node:query:MATCH (n:`THE SHIP`) RETURN n:result:"The Ship is a vessel where the crew shares moments of kindness and reflection during Christmas, symbolizing unity and camaraderie.""The Ship is a vessel where the crew shares moments of kindness and reflection during Christmas, symbolizing unity and camaraderie.""The Ship is described as a vessel on the open sea, where the crew reflects on Christmas, showcasing camaraderie and a sense of belonging."', 'source_id': 'chunk-91614df5cb74cbe5e109a338a82041e9'}> -2024-10-30 06:04:52,193 - lightrag - INFO - _do_upsert:query: - MERGE (n:`THE SHIP`) - SET n += $properties - RETURN n - :result:{'entity_type': '"GEO"', 'description': '"The Ship is a vessel where the crew shares moments of kindness and reflection during Christmas, symbolizing unity and camaraderie.""The Ship is a vessel where the crew shares moments of kindness and reflection during Christmas, symbolizing unity and camaraderie.""The Ship is a vessel where the crew shares moments of kindness and reflection during Christmas, symbolizing unity and camaraderie.""The Ship is a vessel where the crew shares moments of kindness and reflection during Christmas, symbolizing unity and camaraderie.""The Ship is described as a vessel on the open sea, where the crew reflects on Christmas, showcasing camaraderie and a sense of belonging."', 'source_id': 'chunk-91614df5cb74cbe5e109a338a82041e9'} -2024-10-30 06:04:52,321 - lightrag - INFO - get_node:query:MATCH (n:`THE LAMPLIGHTER`) RETURN n:result:"The Lamplighter is a character who brings light to the street, symbolizing hope and joy as he dotting the dusky street with specks of light.""The Lamplighter is a character who brings light to the street, symbolizing hope and joy as he dotting the dusky street with specks of light.""The Lamplighter is a character who fills the street with light, representing the warmth and joy of the holiday season."', 'source_id': 'chunk-91614df5cb74cbe5e109a338a82041e9'}> -2024-10-30 06:04:52,455 - lightrag - INFO - _do_upsert:query: - MERGE (n:`THE LAMPLIGHTER`) - SET n += $properties - RETURN n - :result:{'entity_type': '"PERSON"', 'description': '"The Lamplighter is a character who brings light to the street, symbolizing hope and joy as he dotting the dusky street with specks of light.""The Lamplighter is a character who brings light to the street, symbolizing hope and joy as he dotting the dusky street with specks of light.""The Lamplighter is a character who brings light to the street, symbolizing hope and joy as he dotting the dusky street with specks of light.""The Lamplighter is a character who brings light to the street, symbolizing hope and joy as he dotting the dusky street with specks of light.""The Lamplighter is a character who fills the street with light, representing the warmth and joy of the holiday season."', 'source_id': 'chunk-91614df5cb74cbe5e109a338a82041e9'} -2024-10-30 06:04:52,583 - lightrag - INFO - get_node:query:MATCH (n:`THE MOOR`) RETURN n:result: -2024-10-30 06:04:52,718 - lightrag - INFO - _do_upsert:query: - MERGE (n:`THE MOOR`) - SET n += $properties - RETURN n - :result:{'entity_type': '"GEO"', 'description': '"The Moor is depicted as a bleak and desolate landscape, symbolizing the harsh conditions where miners live."', 'source_id': 'chunk-91614df5cb74cbe5e109a338a82041e9'} -2024-10-30 06:04:52,850 - lightrag - INFO - get_node:query:MATCH (n:`THE OLD MAN`) RETURN n:result:"The Old Man is a character who sings a Christmas song, providing a sense of tradition and warmth amidst the desolate environment.""The Old Man is a character who sings a Christmas song, providing a sense of tradition and warmth amidst the desolate environment.""The Old Man is portrayed as a figure of light and joy among his family, singing a Christmas song that connects generations."', 'source_id': 'chunk-91614df5cb74cbe5e109a338a82041e9'}> -2024-10-30 06:04:52,984 - lightrag - INFO - _do_upsert:query: - MERGE (n:`THE OLD MAN`) - SET n += $properties - RETURN n - :result:{'entity_type': '"PERSON"', 'description': '"The Old Man is a character who sings a Christmas song, providing a sense of tradition and warmth amidst the desolate environment.""The Old Man is a character who sings a Christmas song, providing a sense of tradition and warmth amidst the desolate environment.""The Old Man is a character who sings a Christmas song, providing a sense of tradition and warmth amidst the desolate environment.""The Old Man is a character who sings a Christmas song, providing a sense of tradition and warmth amidst the desolate environment.""The Old Man is portrayed as a figure of light and joy among his family, singing a Christmas song that connects generations."', 'source_id': 'chunk-91614df5cb74cbe5e109a338a82041e9'} -2024-10-30 06:04:53,116 - lightrag - INFO - get_node:query:MATCH (n:`THE HUT`) RETURN n:result:"The Hut is a place where miners and their families gather to celebrate Christmas, representing warmth and community.""The Hut is a place where miners and their families gather to celebrate Christmas, representing warmth and community.""The Hut is a shelter for the miners that provides warmth and a gathering space for family during the winter, serving as a symbol of refuge."', 'source_id': 'chunk-91614df5cb74cbe5e109a338a82041e9'}> -2024-10-30 06:04:53,251 - lightrag - INFO - _do_upsert:query: - MERGE (n:`THE HUT`) - SET n += $properties - RETURN n - :result:{'entity_type': '"GEO"', 'description': '"The Hut is a place where miners and their families gather to celebrate Christmas, representing warmth and community.""The Hut is a place where miners and their families gather to celebrate Christmas, representing warmth and community.""The Hut is a place where miners and their families gather to celebrate Christmas, representing warmth and community.""The Hut is a place where miners and their families gather to celebrate Christmas, representing warmth and community.""The Hut is a shelter for the miners that provides warmth and a gathering space for family during the winter, serving as a symbol of refuge."', 'source_id': 'chunk-91614df5cb74cbe5e109a338a82041e9'} -2024-10-30 06:04:53,379 - lightrag - INFO - get_node:query:MATCH (n:`THE MINERS`) RETURN n:result:"The Miners are individuals who labor in the moor, showcasing their resilience and connection to Christmas despite their harsh living conditions.""The Miners are individuals who labor in the moor, showcasing their resilience and connection to Christmas despite their harsh living conditions.""The Miners refer to a group of laborers living in a bleak landscape, embodying the struggles and resilience of working-class life."', 'source_id': 'chunk-91614df5cb74cbe5e109a338a82041e9'}> -2024-10-30 06:04:53,513 - lightrag - INFO - _do_upsert:query: - MERGE (n:`THE MINERS`) - SET n += $properties - RETURN n - :result:{'entity_type': '"ORGANIZATION"', 'description': '"The Miners are individuals who labor in the moor, showcasing their resilience and connection to Christmas despite their harsh living conditions.""The Miners are individuals who labor in the moor, showcasing their resilience and connection to Christmas despite their harsh living conditions.""The Miners are individuals who labor in the moor, showcasing their resilience and connection to Christmas despite their harsh living conditions.""The Miners are individuals who labor in the moor, showcasing their resilience and connection to Christmas despite their harsh living conditions.""The Miners refer to a group of laborers living in a bleak landscape, embodying the struggles and resilience of working-class life."', 'source_id': 'chunk-91614df5cb74cbe5e109a338a82041e9'} -2024-10-30 06:04:53,647 - lightrag - INFO - get_node:query:MATCH (n:`THE OFFICERS`) RETURN n:result: -2024-10-30 06:04:53,780 - lightrag - INFO - _do_upsert:query: - MERGE (n:`THE OFFICERS`) - SET n += $properties - RETURN n - :result:{'entity_type': '"ORGANIZATION"', 'description': '"The Officers are dark, ghostly figures aboard the ship, participating in the shared camaraderie of the Christmas spirit."', 'source_id': 'chunk-91614df5cb74cbe5e109a338a82041e9'} -2024-10-30 06:04:53,911 - lightrag - INFO - get_node:query:MATCH (n:`THE WAVE`) RETURN n:result: -2024-10-30 06:04:54,050 - lightrag - INFO - _do_upsert:query: - MERGE (n:`THE WAVE`) - SET n += $properties - RETURN n - :result:{'entity_type': '"GEO"', 'description': '"The Wave is described as thundering and raging, representing the overwhelming natural forces present in the sea setting."', 'source_id': 'chunk-91614df5cb74cbe5e109a338a82041e9'} -2024-10-30 06:04:54,178 - lightrag - INFO - get_node:query:MATCH (n:`STORM-BIRDS`) RETURN n:result:"Storm-Birds are creatures associated with the wild sea, symbolizing the untamed nature of the environment around the lighthouse.""Storm-Birds are creatures associated with the wild sea, symbolizing the untamed nature of the environment around the lighthouse.""Storm-Birds are depicted as creatures that rise and fall with the waves, symbolizing the harshness of the environment and the connection to the sea."', 'source_id': 'chunk-91614df5cb74cbe5e109a338a82041e9'}> -2024-10-30 06:04:54,314 - lightrag - INFO - _do_upsert:query: - MERGE (n:`STORM-BIRDS`) - SET n += $properties - RETURN n - :result:{'entity_type': '"GEO"', 'description': '"Storm-Birds are creatures associated with the wild sea, symbolizing the untamed nature of the environment around the lighthouse.""Storm-Birds are creatures associated with the wild sea, symbolizing the untamed nature of the environment around the lighthouse.""Storm-Birds are creatures associated with the wild sea, symbolizing the untamed nature of the environment around the lighthouse.""Storm-Birds are creatures associated with the wild sea, symbolizing the untamed nature of the environment around the lighthouse.""Storm-Birds are depicted as creatures that rise and fall with the waves, symbolizing the harshness of the environment and the connection to the sea."', 'source_id': 'chunk-91614df5cb74cbe5e109a338a82041e9'} -2024-10-30 06:04:54,443 - lightrag - INFO - get_node:query:MATCH (n:`SCROOGE'S NIECE`) RETURN n:result:"Scrooge\'s Niece is a lively character who expresses indignation towards Scrooge\'s disdain for Christmas and embodies warmth and charm, showing affection and concern for family.""Scrooge\'s Niece is a lively character who expresses indignation towards Scrooge\'s disdain for Christmas and embodies warmth and charm, showing affection and concern for family.""Scrooge\'s Niece is depicted as a beautiful and lively character who expresses strong opinions about her uncle Scrooge.""Scrooge\'s niece is depicted as a joyful participant in the evening\'s festivities, engaging in games and music.""Scrooge\'s niece is a central figure in the family gathering, enjoying the festivities and games, showing a loving and vibrant personality.""Scrooge\'s niece is a central figure in the family gathering, enjoying the festivities and games, showing a loving and vibrant personality.""Scrooge\'s niece is a central figure in the family gathering, enjoying the festivities and games, showing a loving and vibrant personality."', 'source_id': 'chunk-43c9bee23adfa77aa9dedd22401bba7dchunk-773d0df1dd25c356f7b771d780583e09'}> -2024-10-30 06:04:54,577 - lightrag - INFO - _do_upsert:query: - MERGE (n:`SCROOGE'S NIECE`) - SET n += $properties - RETURN n - :result:{'entity_type': '"PERSON"', 'description': '"Scrooge\'s Niece is a lively character who expresses indignation towards Scrooge\'s disdain for Christmas and embodies warmth and charm, showing affection and concern for family.""Scrooge\'s Niece is a lively character who expresses indignation towards Scrooge\'s disdain for Christmas and embodies warmth and charm, showing affection and concern for family.""Scrooge\'s Niece is a lively character who expresses indignation towards Scrooge\'s disdain for Christmas and embodies warmth and charm, showing affection and concern for family.""Scrooge\'s Niece is a lively character who expresses indignation towards Scrooge\'s disdain for Christmas and embodies warmth and charm, showing affection and concern for family.""Scrooge\'s Niece is depicted as a beautiful and lively character who expresses strong opinions about her uncle Scrooge.""Scrooge\'s niece is depicted as a joyful participant in the evening\'s festivities, engaging in games and music.""Scrooge\'s niece is a central figure in the family gathering, enjoying the festivities and games, showing a loving and vibrant personality.""Scrooge\'s niece is a central figure in the family gathering, enjoying the festivities and games, showing a loving and vibrant personality.""Scrooge\'s niece is a central figure in the family gathering, enjoying the festivities and games, showing a loving and vibrant personality.""Scrooge\'s niece is a central figure in the family gathering, enjoying the festivities and games, showing a loving and vibrant personality."', 'source_id': 'chunk-43c9bee23adfa77aa9dedd22401bba7dchunk-773d0df1dd25c356f7b771d780583e09'} -2024-10-30 06:04:54,708 - lightrag - INFO - get_node:query:MATCH (n:`TOPPER`) RETURN n:result:"Topper is a character who participates in the dinner and seems to have an interest in one of Scrooge\'s niece\'s sisters.""Topper is a guest at the Christmas party, representing the jovial and festive spirit of the gathering with Fred and Scrooge.""Topper is a jovial character who participates in games and is known for his playful and somewhat roguish behavior during the festivities.""Topper is a member of Scrooge\'s Niece\'s social group, characterized by his playful manner and romantic interests, notably towards one of Scrooge\'s Niece\'s sisters.""Topper is one of Fred\'s friends who attends the Christmas gathering, contributing to the joyful atmosphere of the celebration.""Topper is a jovial character who participates in games and is known for his playful and somewhat roguish behavior during the festivities.""Topper is a member of Scrooge\'s Niece\'s social group, characterized by his playful manner and romantic interests, notably towards one of Scrooge\'s Niece\'s sisters.""Topper is one of Fred\'s friends who attends the Christmas gathering, contributing to the joyful atmosphere of the celebration.""Topper is a jovial character who participates in games and is known for his playful and somewhat roguish behavior during the festivities.""Topper is a member of Scrooge\'s Niece\'s social group, characterized by his playful manner and romantic interests, notably towards one of Scrooge\'s Niece\'s sisters.""Topper is one of Fred\'s friends who attends the Christmas gathering, contributing to the joyful atmosphere of the celebration."', 'source_id': 'chunk-43c9bee23adfa77aa9dedd22401bba7dchunk-94bea83e7153fc2064aa382b494936a1chunk-773d0df1dd25c356f7b771d780583e09'}> -2024-10-30 06:04:54,846 - lightrag - INFO - _do_upsert:query: - MERGE (n:`TOPPER`) - SET n += $properties - RETURN n - :result:{'entity_type': '"PERSON"', 'description': '"Topper is a character known for his lively and mischievous behavior during the games at the festive gathering.""Topper is a character who participates in the dinner and seems to have an interest in one of Scrooge\'s niece\'s sisters.""Topper is a guest at the Christmas party, representing the jovial and festive spirit of the gathering with Fred and Scrooge.""Topper is a jovial character who participates in games and is known for his playful and somewhat roguish behavior during the festivities.""Topper is a member of Scrooge\'s Niece\'s social group, characterized by his playful manner and romantic interests, notably towards one of Scrooge\'s Niece\'s sisters.""Topper is one of Fred\'s friends who attends the Christmas gathering, contributing to the joyful atmosphere of the celebration.""Topper is a jovial character who participates in games and is known for his playful and somewhat roguish behavior during the festivities.""Topper is a member of Scrooge\'s Niece\'s social group, characterized by his playful manner and romantic interests, notably towards one of Scrooge\'s Niece\'s sisters.""Topper is one of Fred\'s friends who attends the Christmas gathering, contributing to the joyful atmosphere of the celebration.""Topper is a jovial character who participates in games and is known for his playful and somewhat roguish behavior during the festivities.""Topper is a member of Scrooge\'s Niece\'s social group, characterized by his playful manner and romantic interests, notably towards one of Scrooge\'s Niece\'s sisters.""Topper is one of Fred\'s friends who attends the Christmas gathering, contributing to the joyful atmosphere of the celebration.""Topper is a jovial character who participates in games and is known for his playful and somewhat roguish behavior during the festivities.""Topper is a member of Scrooge\'s Niece\'s social group, characterized by his playful manner and romantic interests, notably towards one of Scrooge\'s Niece\'s sisters.""Topper is one of Fred\'s friends who attends the Christmas gathering, contributing to the joyful atmosphere of the celebration."', 'source_id': 'chunk-43c9bee23adfa77aa9dedd22401bba7dchunk-94bea83e7153fc2064aa382b494936a1chunk-773d0df1dd25c356f7b771d780583e09'} -2024-10-30 06:04:54,979 - lightrag - INFO - get_node:query:MATCH (n:`SCROOGE'S NIECE'S SISTERS`) RETURN n:result:"Scrooge\'s Niece\'s Sisters are a part of the family gathering, expressing their opinions and adding to the lively atmosphere with their laughter and good humor.""Scrooge\'s Niece\'s Sisters are a part of the family gathering, expressing their opinions and adding to the lively atmosphere with their laughter and good humor.""Scrooge\'s Niece\'s Sisters are part of the family gathering, contributing to the lively atmosphere and expressing opinions about Scrooge."', 'source_id': 'chunk-773d0df1dd25c356f7b771d780583e09'}> -2024-10-30 06:04:55,113 - lightrag - INFO - _do_upsert:query: - MERGE (n:`SCROOGE'S NIECE'S SISTERS`) - SET n += $properties - RETURN n - :result:{'entity_type': '"PERSON"', 'description': '"Scrooge\'s Niece\'s Sisters are a part of the family gathering, expressing their opinions and adding to the lively atmosphere with their laughter and good humor.""Scrooge\'s Niece\'s Sisters are a part of the family gathering, expressing their opinions and adding to the lively atmosphere with their laughter and good humor.""Scrooge\'s Niece\'s Sisters are a part of the family gathering, expressing their opinions and adding to the lively atmosphere with their laughter and good humor.""Scrooge\'s Niece\'s Sisters are a part of the family gathering, expressing their opinions and adding to the lively atmosphere with their laughter and good humor.""Scrooge\'s Niece\'s Sisters are part of the family gathering, contributing to the lively atmosphere and expressing opinions about Scrooge."', 'source_id': 'chunk-773d0df1dd25c356f7b771d780583e09'} -2024-10-30 06:04:55,246 - lightrag - INFO - get_node:query:MATCH (n:`THE PLUMP SISTER`) RETURN n:result:"The Plump Sister is a character in the gathering who becomes the focus of Topper\'s playful advances during the games, contributing to the comedic aspects of the gathering.""The Plump Sister is a character in the gathering who becomes the focus of Topper\'s playful advances during the games, contributing to the comedic aspects of the gathering.""The Plump Sister is depicted in a light-hearted and humorous context, illustrating the fun of Christmas gatherings.""The plump sister is a character involved in the games, specifically blind man\'s-buff, and captures Topper\'s attention during the festivities.""The Plump Sister is one of Scrooge\'s Niece\'s sisters, characterized by her bashfulness and her attempts to maintain decorum amidst the laughter.""The Plump Sister is one of Scrooge\'s Niece\'s sisters, characterized by her bashfulness and her attempts to maintain decorum amidst the laughter.""The Plump Sister is one of Scrooge\'s Niece\'s sisters, characterized by her bashfulness and her attempts to maintain decorum amidst the laughter."', 'source_id': 'chunk-89777b838d5447c7bd1ec11282c4ee89chunk-43c9bee23adfa77aa9dedd22401bba7dchunk-773d0df1dd25c356f7b771d780583e09'}> -2024-10-30 06:04:55,383 - lightrag - INFO - _do_upsert:query: - MERGE (n:`THE PLUMP SISTER`) - SET n += $properties - RETURN n - :result:{'entity_type': '"PERSON"', 'description': '"The Plump Sister is a character in the gathering who becomes the focus of Topper\'s playful advances during the games, contributing to the comedic aspects of the gathering.""The Plump Sister is a character in the gathering who becomes the focus of Topper\'s playful advances during the games, contributing to the comedic aspects of the gathering.""The Plump Sister is a character in the gathering who becomes the focus of Topper\'s playful advances during the games, contributing to the comedic aspects of the gathering.""The Plump Sister is a character in the gathering who becomes the focus of Topper\'s playful advances during the games, contributing to the comedic aspects of the gathering.""The Plump Sister is depicted in a light-hearted and humorous context, illustrating the fun of Christmas gatherings.""The plump sister is a character involved in the games, specifically blind man\'s-buff, and captures Topper\'s attention during the festivities.""The Plump Sister is one of Scrooge\'s Niece\'s sisters, characterized by her bashfulness and her attempts to maintain decorum amidst the laughter.""The Plump Sister is one of Scrooge\'s Niece\'s sisters, characterized by her bashfulness and her attempts to maintain decorum amidst the laughter.""The Plump Sister is one of Scrooge\'s Niece\'s sisters, characterized by her bashfulness and her attempts to maintain decorum amidst the laughter.""The Plump Sister is one of Scrooge\'s Niece\'s sisters, characterized by her bashfulness and her attempts to maintain decorum amidst the laughter."', 'source_id': 'chunk-43c9bee23adfa77aa9dedd22401bba7dchunk-89777b838d5447c7bd1ec11282c4ee89chunk-773d0df1dd25c356f7b771d780583e09'} -2024-10-30 06:04:55,515 - lightrag - INFO - get_node:query:MATCH (n:`DINNER`) RETURN n:result: -2024-10-30 06:04:55,648 - lightrag - INFO - _do_upsert:query: - MERGE (n:`DINNER`) - SET n += $properties - RETURN n - :result:{'entity_type': '"EVENT"', 'description': '"Dinner is the festive meal that is shared among the characters, symbolizing the warmth of family and celebration that contrasts with Scrooge\'s isolated demeanor."', 'source_id': 'chunk-773d0df1dd25c356f7b771d780583e09'} -2024-10-30 06:04:55,778 - lightrag - INFO - get_node:query:MATCH (n:`MERRIMENT`) RETURN n:result:"Merriment embodies the joy and celebration associated with the holiday season and the gathering of family and friends in the narrative.""Merriment embodies the joy and celebration associated with the holiday season and the gathering of family and friends in the narrative.""Merriment refers to the joyful and festive atmosphere that the characters aim to create, opposing Scrooge\'s jaded perspective on social gatherings.""Merriment refers to the joyful and festive atmosphere that the characters aim to create, opposing Scrooge\'s jaded perspective on social gatherings.""Merriment refers to the joyful and festive atmosphere that the characters aim to create, opposing Scrooge\'s jaded perspective on social gatherings."', 'source_id': 'chunk-e7637ff18c5ded77a68cce0a87883fadchunk-773d0df1dd25c356f7b771d780583e09'}> -2024-10-30 06:04:55,913 - lightrag - INFO - _do_upsert:query: - MERGE (n:`MERRIMENT`) - SET n += $properties - RETURN n - :result:{'entity_type': '"CONCEPT"', 'description': '"Merriment embodies the joy and celebration associated with the holiday season and the gathering of family and friends in the narrative.""Merriment embodies the joy and celebration associated with the holiday season and the gathering of family and friends in the narrative.""Merriment embodies the joy and celebration associated with the holiday season and the gathering of family and friends in the narrative.""Merriment embodies the joy and celebration associated with the holiday season and the gathering of family and friends in the narrative.""Merriment refers to the joyful and festive atmosphere that the characters aim to create, opposing Scrooge\'s jaded perspective on social gatherings.""Merriment refers to the joyful and festive atmosphere that the characters aim to create, opposing Scrooge\'s jaded perspective on social gatherings.""Merriment refers to the joyful and festive atmosphere that the characters aim to create, opposing Scrooge\'s jaded perspective on social gatherings.""Merriment refers to the joyful and festive atmosphere that the characters aim to create, opposing Scrooge\'s jaded perspective on social gatherings."', 'source_id': 'chunk-e7637ff18c5ded77a68cce0a87883fadchunk-773d0df1dd25c356f7b771d780583e09'} -2024-10-30 06:04:56,041 - lightrag - INFO - get_node:query:MATCH (n:`BLIND MAN'S BUFF`) RETURN n:result: -2024-10-30 06:04:56,175 - lightrag - INFO - _do_upsert:query: - MERGE (n:`BLIND MAN'S BUFF`) - SET n += $properties - RETURN n - :result:{'entity_type': '"EVENT"', 'description': '"Blind Man\'s Buff is a traditional game played during the gathering, contributing to the festive atmosphere and interactions among the guests."', 'source_id': 'chunk-43c9bee23adfa77aa9dedd22401bba7d'} -2024-10-30 06:04:56,304 - lightrag - INFO - get_node:query:MATCH (n:`FORFEITS`) RETURN n:result:"Forfeits is another social game played by the characters, emphasizing the playful nature of their Christmas celebration.""Forfeits is another social game played by the characters, emphasizing the playful nature of their Christmas celebration.""Forfeits is another social game played by the characters, emphasizing the playful nature of their Christmas celebration."', 'source_id': 'chunk-43c9bee23adfa77aa9dedd22401bba7d'}> -2024-10-30 06:04:56,443 - lightrag - INFO - _do_upsert:query: - MERGE (n:`FORFEITS`) - SET n += $properties - RETURN n - :result:{'entity_type': '"EVENT"', 'description': '"Forfeits is another game played that allows participants to engage in fun activities, emphasizing the spirit of the gathering.""Forfeits is another social game played by the characters, emphasizing the playful nature of their Christmas celebration.""Forfeits is another social game played by the characters, emphasizing the playful nature of their Christmas celebration.""Forfeits is another social game played by the characters, emphasizing the playful nature of their Christmas celebration.""Forfeits is another social game played by the characters, emphasizing the playful nature of their Christmas celebration."', 'source_id': 'chunk-43c9bee23adfa77aa9dedd22401bba7d'} -2024-10-30 06:04:56,577 - lightrag - INFO - get_node:query:MATCH (n:`THE HARP`) RETURN n:result: -2024-10-30 06:04:56,711 - lightrag - INFO - _do_upsert:query: - MERGE (n:`THE HARP`) - SET n += $properties - RETURN n - :result:{'entity_type': '"TECHNOLOGY"', 'description': '"The Harp is a musical instrument played by Scrooge\'s niece, contributing to the evening\'s entertainment and illustrating the family\'s musical talents."', 'source_id': 'chunk-43c9bee23adfa77aa9dedd22401bba7d'} -2024-10-30 06:04:56,840 - lightrag - INFO - get_node:query:MATCH (n:`CHRISTMAS HOLIDAYS`) RETURN n:result:"Christmas Holidays signify a time for celebration, reflection, and reconciliation, playing a critical role in Scrooge\'s transformation.""Christmas Holidays signify a time for celebration, reflection, and reconciliation, playing a critical role in Scrooge\'s transformation.""The Christmas Holidays serve as a crucial backdrop for the narrative, representing themes of generosity, family, and redemption."', 'source_id': 'chunk-e7637ff18c5ded77a68cce0a87883fad'}> -2024-10-30 06:04:56,974 - lightrag - INFO - _do_upsert:query: - MERGE (n:`CHRISTMAS HOLIDAYS`) - SET n += $properties - RETURN n - :result:{'entity_type': '"EVENT"', 'description': '"Christmas Holidays signify a time for celebration, reflection, and reconciliation, playing a critical role in Scrooge\'s transformation.""Christmas Holidays signify a time for celebration, reflection, and reconciliation, playing a critical role in Scrooge\'s transformation.""Christmas Holidays signify a time for celebration, reflection, and reconciliation, playing a critical role in Scrooge\'s transformation.""Christmas Holidays signify a time for celebration, reflection, and reconciliation, playing a critical role in Scrooge\'s transformation.""The Christmas Holidays serve as a crucial backdrop for the narrative, representing themes of generosity, family, and redemption."', 'source_id': 'chunk-e7637ff18c5ded77a68cce0a87883fad'} -2024-10-30 06:04:57,106 - lightrag - INFO - get_node:query:MATCH (n:`IGNORANCE`) RETURN n:result:"Ignorance is personified as a boy that symbolizes the dangers of ignoring social issues and the consequences of a lack of awareness.""Ignorance personifies a societal failing, depicted as a child, warning of the dangers of neglect and moral responsibility.""Ignorance refers to one of the two children presented by the Spirit, symbolizing societal neglect and the consequences of lack of awareness.""Ignorance personifies a societal failing, depicted as a child, warning of the dangers of neglect and moral responsibility.""Ignorance refers to one of the two children presented by the Spirit, symbolizing societal neglect and the consequences of lack of awareness.""Ignorance personifies a societal failing, depicted as a child, warning of the dangers of neglect and moral responsibility.""Ignorance refers to one of the two children presented by the Spirit, symbolizing societal neglect and the consequences of lack of awareness."', 'source_id': 'chunk-02baee20cc9463dbe08170a8e1043e32chunk-e7637ff18c5ded77a68cce0a87883fad'}> -2024-10-30 06:04:57,240 - lightrag - INFO - _do_upsert:query: - MERGE (n:`IGNORANCE`) - SET n += $properties - RETURN n - :result:{'entity_type': '"CONCEPT"', 'description': '"Ignorance is personified as a boy shown to Scrooge by the Spirit, representing a societal issue that appeals for attention and change.""Ignorance is personified as a boy that symbolizes the dangers of ignoring social issues and the consequences of a lack of awareness.""Ignorance personifies a societal failing, depicted as a child, warning of the dangers of neglect and moral responsibility.""Ignorance refers to one of the two children presented by the Spirit, symbolizing societal neglect and the consequences of lack of awareness.""Ignorance personifies a societal failing, depicted as a child, warning of the dangers of neglect and moral responsibility.""Ignorance refers to one of the two children presented by the Spirit, symbolizing societal neglect and the consequences of lack of awareness.""Ignorance personifies a societal failing, depicted as a child, warning of the dangers of neglect and moral responsibility.""Ignorance refers to one of the two children presented by the Spirit, symbolizing societal neglect and the consequences of lack of awareness.""Ignorance personifies a societal failing, depicted as a child, warning of the dangers of neglect and moral responsibility.""Ignorance refers to one of the two children presented by the Spirit, symbolizing societal neglect and the consequences of lack of awareness."', 'source_id': 'chunk-e7637ff18c5ded77a68cce0a87883fadchunk-02baee20cc9463dbe08170a8e1043e32'} -2024-10-30 06:04:57,373 - lightrag - INFO - get_node:query:MATCH (n:`WANT`) RETURN n:result:"Want is represented as the second child shown by the Spirit, symbolizing the dire social conditions and needs of the impoverished.""Want represents another societal failing, portrayed as a girl, symbolizing deprivation and yearning for basic needs.""Want is represented as the second child shown by the Spirit, symbolizing the dire social conditions and needs of the impoverished.""Want represents another societal failing, portrayed as a girl, symbolizing deprivation and yearning for basic needs.""Want is represented as the second child shown by the Spirit, symbolizing the dire social conditions and needs of the impoverished.""Want represents another societal failing, portrayed as a girl, symbolizing deprivation and yearning for basic needs."', 'source_id': 'chunk-02baee20cc9463dbe08170a8e1043e32chunk-e7637ff18c5ded77a68cce0a87883fad'}> -2024-10-30 06:04:57,507 - lightrag - INFO - _do_upsert:query: - MERGE (n:`WANT`) - SET n += $properties - RETURN n - :result:{'entity_type': '"CONCEPT"', 'description': '"Want is depicted as a girl, representing the consequences of poverty and desire in society, warning against neglecting these issues.""Want is represented as the second child shown by the Spirit, symbolizing the dire social conditions and needs of the impoverished.""Want represents another societal failing, portrayed as a girl, symbolizing deprivation and yearning for basic needs.""Want is represented as the second child shown by the Spirit, symbolizing the dire social conditions and needs of the impoverished.""Want represents another societal failing, portrayed as a girl, symbolizing deprivation and yearning for basic needs.""Want is represented as the second child shown by the Spirit, symbolizing the dire social conditions and needs of the impoverished.""Want represents another societal failing, portrayed as a girl, symbolizing deprivation and yearning for basic needs.""Want is represented as the second child shown by the Spirit, symbolizing the dire social conditions and needs of the impoverished.""Want represents another societal failing, portrayed as a girl, symbolizing deprivation and yearning for basic needs."', 'source_id': 'chunk-e7637ff18c5ded77a68cce0a87883fadchunk-02baee20cc9463dbe08170a8e1043e32'} -2024-10-30 06:04:57,635 - lightrag - INFO - get_node:query:MATCH (n:`ALMS HOUSE`) RETURN n:result: -2024-10-30 06:04:57,767 - lightrag - INFO - _do_upsert:query: - MERGE (n:`ALMS HOUSE`) - SET n += $properties - RETURN n - :result:{'entity_type': '"ORGANIZATION"', 'description': '"Alms House refers to a charitable institution visited by the Spirit, where the poor receive support and care."', 'source_id': 'chunk-e7637ff18c5ded77a68cce0a87883fad'} -2024-10-30 06:04:57,895 - lightrag - INFO - get_node:query:MATCH (n:`HOSPITAL`) RETURN n:result:"Hospital signifies a place of healing and care, visited by the Spirit in the story.""Hospital signifies a place of healing and care, visited by the Spirit in the story.""The Hospital represents a location of care and compassion, highlighting the human condition and the need for kindness."', 'source_id': 'chunk-e7637ff18c5ded77a68cce0a87883fad'}> -2024-10-30 06:04:58,029 - lightrag - INFO - _do_upsert:query: - MERGE (n:`HOSPITAL`) - SET n += $properties - RETURN n - :result:{'entity_type': '"ORGANIZATION"', 'description': '"Hospital signifies a place of healing and care, visited by the Spirit in the story.""Hospital signifies a place of healing and care, visited by the Spirit in the story.""Hospital signifies a place of healing and care, visited by the Spirit in the story.""Hospital signifies a place of healing and care, visited by the Spirit in the story.""The Hospital represents a location of care and compassion, highlighting the human condition and the need for kindness."', 'source_id': 'chunk-e7637ff18c5ded77a68cce0a87883fad'} -2024-10-30 06:04:58,158 - lightrag - INFO - get_node:query:MATCH (n:`GAOL`) RETURN n:result:"Gaol refers to a prison, illustrating the theme of social justice and the conditions of the impoverished in society.""Gaol refers to a prison, illustrating the theme of social justice and the conditions of the impoverished in society.""The Gaol symbolizes imprisonment and despair, representing the societal failings and the need for mercy and understanding."', 'source_id': 'chunk-e7637ff18c5ded77a68cce0a87883fad'}> -2024-10-30 06:04:58,292 - lightrag - INFO - _do_upsert:query: - MERGE (n:`GAOL`) - SET n += $properties - RETURN n - :result:{'entity_type': '"ORGANIZATION"', 'description': '"Gaol refers to a prison, illustrating the theme of social justice and the conditions of the impoverished in society.""Gaol refers to a prison, illustrating the theme of social justice and the conditions of the impoverished in society.""Gaol refers to a prison, illustrating the theme of social justice and the conditions of the impoverished in society.""Gaol refers to a prison, illustrating the theme of social justice and the conditions of the impoverished in society.""The Gaol symbolizes imprisonment and despair, representing the societal failings and the need for mercy and understanding."', 'source_id': 'chunk-e7637ff18c5ded77a68cce0a87883fad'} -2024-10-30 06:04:58,425 - lightrag - INFO - get_node:query:MATCH (n:`TWELFTH NIGHT`) RETURN n:result: -2024-10-30 06:04:58,558 - lightrag - INFO - _do_upsert:query: - MERGE (n:`TWELFTH NIGHT`) - SET n += $properties - RETURN n - :result:{'entity_type': '"EVENT"', 'description': '"Twelfth Night is a festive occasion celebrated in the story, showcasing family gatherings and merriment during the holiday season."', 'source_id': 'chunk-e7637ff18c5ded77a68cce0a87883fad'} -2024-10-30 06:04:58,688 - lightrag - INFO - get_node:query:MATCH (n:`MULLED WINE`) RETURN n:result:"Mulled Wine is a festive drink mentioned in the context of celebration during the Christmas gathering.""Mulled Wine is a festive drink mentioned in the context of celebration during the Christmas gathering.""Mulled Wine symbolizes warmth and cheer, often associated with celebrations during the holiday season, particularly in the context of family gatherings."', 'source_id': 'chunk-e7637ff18c5ded77a68cce0a87883fad'}> -2024-10-30 06:04:58,823 - lightrag - INFO - _do_upsert:query: - MERGE (n:`MULLED WINE`) - SET n += $properties - RETURN n - :result:{'entity_type': '"EVENT"', 'description': '"Mulled Wine is a festive drink mentioned in the context of celebration during the Christmas gathering.""Mulled Wine is a festive drink mentioned in the context of celebration during the Christmas gathering.""Mulled Wine is a festive drink mentioned in the context of celebration during the Christmas gathering.""Mulled Wine is a festive drink mentioned in the context of celebration during the Christmas gathering.""Mulled Wine symbolizes warmth and cheer, often associated with celebrations during the holiday season, particularly in the context of family gatherings."', 'source_id': 'chunk-e7637ff18c5ded77a68cce0a87883fad'} -2024-10-30 06:04:58,955 - lightrag - INFO - get_node:query:MATCH (n:`PHANTOM`) RETURN n:result: -2024-10-30 06:04:59,087 - lightrag - INFO - _do_upsert:query: - MERGE (n:`PHANTOM`) - SET n += $properties - RETURN n - :result:{'entity_type': '"ORGANIZATION"', 'description': '"The Phantom is a representation of death and the unknown future, appearing to Scrooge with a mysterious and intimidating presence."', 'source_id': 'chunk-02baee20cc9463dbe08170a8e1043e32'} -2024-10-30 06:04:59,219 - lightrag - INFO - get_node:query:MATCH (n:`BUSINESS MEN`) RETURN n:result: -2024-10-30 06:04:59,355 - lightrag - INFO - _do_upsert:query: - MERGE (n:`BUSINESS MEN`) - SET n += $properties - RETURN n - :result:{'entity_type': '"ORGANIZATION"', 'description': '"The business men are a group discussing Scrooge\'s death, reflecting society\'s indifference and the consequential nature of wealth."', 'source_id': 'chunk-02baee20cc9463dbe08170a8e1043e32'} -2024-10-30 06:04:59,482 - lightrag - INFO - get_node:query:MATCH (n:`THE DEAD MAN`) RETURN n:result:"The Dead man is the subject of discussion among the business men, representing Scrooge himself and the consequences of his life.""The Dead man is the subject of discussion among the business men, representing Scrooge himself and the consequences of his life.""The Dead man is the subject of discussion among the business men, representing Scrooge himself and the consequences of his life."', 'source_id': 'chunk-02baee20cc9463dbe08170a8e1043e32chunk-60fc063c79fc0d4acc91a57e79de04dc'}> -2024-10-30 06:04:59,617 - lightrag - INFO - _do_upsert:query: - MERGE (n:`THE DEAD MAN`) - SET n += $properties - RETURN n - :result:{'entity_type': '"PERSON"', 'description': '"The Dead Man is mentioned as the previous owner of the items being appraised, embodying the consequences of greed and isolation.""The Dead man is the subject of discussion among the business men, representing Scrooge himself and the consequences of his life.""The Dead man is the subject of discussion among the business men, representing Scrooge himself and the consequences of his life.""The Dead man is the subject of discussion among the business men, representing Scrooge himself and the consequences of his life.""The Dead man is the subject of discussion among the business men, representing Scrooge himself and the consequences of his life."', 'source_id': 'chunk-60fc063c79fc0d4acc91a57e79de04dcchunk-02baee20cc9463dbe08170a8e1043e32'} -2024-10-30 06:04:59,745 - lightrag - INFO - get_node:query:MATCH (n:`JACOB`) RETURN n:result:"Jacob is Scrooge\'s old partner whose death is acknowledged, influencing Scrooge\'s reflections on his own life and future.""Jacob is Scrooge\'s old partner whose death is acknowledged, influencing Scrooge\'s reflections on his own life and future.""Jacob is referenced as Scrooge\'s old partner, significant for his recent death and the impact of this event on Scrooge\'s reflections."', 'source_id': 'chunk-f1a4fbcf1ed86864b9bfd5e8dba4c683'}> -2024-10-30 06:04:59,880 - lightrag - INFO - _do_upsert:query: - MERGE (n:`JACOB`) - SET n += $properties - RETURN n - :result:{'entity_type': '"PERSON"', 'description': '"Jacob is Scrooge\'s old partner whose death is acknowledged, influencing Scrooge\'s reflections on his own life and future.""Jacob is Scrooge\'s old partner whose death is acknowledged, influencing Scrooge\'s reflections on his own life and future.""Jacob is Scrooge\'s old partner whose death is acknowledged, influencing Scrooge\'s reflections on his own life and future.""Jacob is Scrooge\'s old partner whose death is acknowledged, influencing Scrooge\'s reflections on his own life and future.""Jacob is referenced as Scrooge\'s old partner, significant for his recent death and the impact of this event on Scrooge\'s reflections."', 'source_id': 'chunk-f1a4fbcf1ed86864b9bfd5e8dba4c683'} -2024-10-30 06:05:00,010 - lightrag - INFO - get_node:query:MATCH (n:`THE TOWN`) RETURN n:result: -2024-10-30 06:05:00,144 - lightrag - INFO - _do_upsert:query: - MERGE (n:`THE TOWN`) - SET n += $properties - RETURN n - :result:{'entity_type': '"GEO"', 'description': '"The Town is depicted as an obscure and morally degraded area contrasting with the lively scenes, indicating deep societal issues."', 'source_id': 'chunk-f1a4fbcf1ed86864b9bfd5e8dba4c683'} -2024-10-30 06:05:00,277 - lightrag - INFO - get_node:query:MATCH (n:`THE LOW-BROWED SHOP`) RETURN n:result:"The Low-Browed Shop is a grim establishment in the town dealing in various unwanted goods, representing decay and desperation.""The Low-Browed Shop is a grim establishment in the town dealing in various unwanted goods, representing decay and desperation.""The Low-Browed Shop is a setting that symbolizes neglect and degradation, filled with discarded items and representing societal decay."', 'source_id': 'chunk-f1a4fbcf1ed86864b9bfd5e8dba4c683'}> -2024-10-30 06:05:00,414 - lightrag - INFO - _do_upsert:query: - MERGE (n:`THE LOW-BROWED SHOP`) - SET n += $properties - RETURN n - :result:{'entity_type': '"ORGANIZATION"', 'description': '"The Low-Browed Shop is a grim establishment in the town dealing in various unwanted goods, representing decay and desperation.""The Low-Browed Shop is a grim establishment in the town dealing in various unwanted goods, representing decay and desperation.""The Low-Browed Shop is a grim establishment in the town dealing in various unwanted goods, representing decay and desperation.""The Low-Browed Shop is a grim establishment in the town dealing in various unwanted goods, representing decay and desperation.""The Low-Browed Shop is a setting that symbolizes neglect and degradation, filled with discarded items and representing societal decay."', 'source_id': 'chunk-f1a4fbcf1ed86864b9bfd5e8dba4c683'} -2024-10-30 06:05:00,542 - lightrag - INFO - get_node:query:MATCH (n:`RED-FACED GENTLEMAN`) RETURN n:result: -2024-10-30 06:05:00,680 - lightrag - INFO - _do_upsert:query: - MERGE (n:`RED-FACED GENTLEMAN`) - SET n += $properties - RETURN n - :result:{'entity_type': '"PERSON"', 'description': '"The Red-faced Gentleman is a character who humorously discusses the potential nature of a cheap funeral at the gathering."', 'source_id': 'chunk-f1a4fbcf1ed86864b9bfd5e8dba4c683'} -2024-10-30 06:05:00,811 - lightrag - INFO - get_node:query:MATCH (n:`GENTLEMAN WITH THE EXCRESCENCE`) RETURN n:result: -2024-10-30 06:05:00,946 - lightrag - INFO - _do_upsert:query: - MERGE (n:`GENTLEMAN WITH THE EXCRESCENCE`) - SET n += $properties - RETURN n - :result:{'entity_type': '"PERSON"', 'description': '"The Gentleman with the Excrescence is characterized by a physical trait and provides humorous remarks about attending a funeral."', 'source_id': 'chunk-f1a4fbcf1ed86864b9bfd5e8dba4c683'} -2024-10-30 06:05:01,080 - lightrag - INFO - get_node:query:MATCH (n:`OLD SCRATCH`) RETURN n:result:"Old Scratch is a colloquial term used in reference to the devil, indicating a grim context in discussions about death.""Old Scratch is a colloquial term used in reference to the devil, indicating a grim context in discussions about death.""Old Scratch is mentioned as a figure related to the conversation, symbolizing mischief and humor."', 'source_id': 'chunk-f1a4fbcf1ed86864b9bfd5e8dba4c683chunk-89777b838d5447c7bd1ec11282c4ee89'}> -2024-10-30 06:05:01,219 - lightrag - INFO - _do_upsert:query: - MERGE (n:`OLD SCRATCH`) - SET n += $properties - RETURN n - :result:{'entity_type': '"CONCEPT"', 'description': '"Old Scratch is a colloquial term used in reference to the devil, indicating a grim context in discussions about death.""Old Scratch is a colloquial term used in reference to the devil, indicating a grim context in discussions about death.""Old Scratch is a colloquial term used in reference to the devil, indicating a grim context in discussions about death.""Old Scratch is a colloquial term used in reference to the devil, indicating a grim context in discussions about death.""Old Scratch is mentioned as a figure related to the conversation, symbolizing mischief and humor."', 'source_id': 'chunk-f1a4fbcf1ed86864b9bfd5e8dba4c683chunk-89777b838d5447c7bd1ec11282c4ee89'} -2024-10-30 06:05:01,349 - lightrag - INFO - get_node:query:MATCH (n:`THE MEETING`) RETURN n:result: -2024-10-30 06:05:01,485 - lightrag - INFO - _do_upsert:query: - MERGE (n:`THE MEETING`) - SET n += $properties - RETURN n - :result:{'entity_type': '"EVENT"', 'description': '"The Meeting is characterized by light-hearted banter among characters regarding the funeral and their connections to the deceased."', 'source_id': 'chunk-f1a4fbcf1ed86864b9bfd5e8dba4c683'} -2024-10-30 06:05:01,613 - lightrag - INFO - get_node:query:MATCH (n:`THE PHANTOM`) RETURN n:result:"The Phantom represents a ghostly presence guiding Scrooge through reflections on his life and future decisions.""The Phantom represents a ghostly presence guiding Scrooge through reflections on his life and future decisions.""The Phantom represents the supernatural element in Scrooge\'s journey of self-reflection and moral awakening."', 'source_id': 'chunk-f1a4fbcf1ed86864b9bfd5e8dba4c683'}> -2024-10-30 06:05:01,744 - lightrag - INFO - _do_upsert:query: - MERGE (n:`THE PHANTOM`) - SET n += $properties - RETURN n - :result:{'entity_type': '"ORGANIZATION"', 'description': '"The Phantom represents a ghostly presence guiding Scrooge through reflections on his life and future decisions.""The Phantom represents a ghostly presence guiding Scrooge through reflections on his life and future decisions.""The Phantom represents a ghostly presence guiding Scrooge through reflections on his life and future decisions.""The Phantom represents a ghostly presence guiding Scrooge through reflections on his life and future decisions.""The Phantom represents the supernatural element in Scrooge\'s journey of self-reflection and moral awakening."', 'source_id': 'chunk-f1a4fbcf1ed86864b9bfd5e8dba4c683'} -2024-10-30 06:05:01,877 - lightrag - INFO - get_node:query:MATCH (n:`THE QUARTER`) RETURN n:result: -2024-10-30 06:05:02,019 - lightrag - INFO - _do_upsert:query: - MERGE (n:`THE QUARTER`) - SET n += $properties - RETURN n - :result:{'entity_type': '"GEO"', 'description': '"The Quarter is a depiction of an impoverished and crime-ridden area of the town, emphasizing societal neglect."', 'source_id': 'chunk-f1a4fbcf1ed86864b9bfd5e8dba4c683'} -2024-10-30 06:05:02,147 - lightrag - INFO - get_node:query:MATCH (n:`THE COAL SHOP`) RETURN n:result: -2024-10-30 06:05:02,282 - lightrag - INFO - _do_upsert:query: - MERGE (n:`THE COAL SHOP`) - SET n += $properties - RETURN n - :result:{'entity_type': '"ORGANIZATION"', 'description': '"The Coal Shop is a den of lowly transactions that signifies the harsh living conditions experienced by the characters in the quarter."', 'source_id': 'chunk-f1a4fbcf1ed86864b9bfd5e8dba4c683'} -2024-10-30 06:05:02,413 - lightrag - INFO - get_node:query:MATCH (n:`MISCELLANEOUS TATTERS`) RETURN n:result: -2024-10-30 06:05:02,548 - lightrag - INFO - _do_upsert:query: - MERGE (n:`MISCELLANEOUS TATTERS`) - SET n += $properties - RETURN n - :result:{'entity_type': '"CONCEPT"', 'description': '"Miscellaneous Tatters symbolize the shabby and worn conditions surrounding the characters in the Low-Browed Shop."', 'source_id': 'chunk-f1a4fbcf1ed86864b9bfd5e8dba4c683'} -2024-10-30 06:05:02,675 - lightrag - INFO - get_node:query:MATCH (n:`THE CHARCOAL STOVE`) RETURN n:result: -2024-10-30 06:05:02,810 - lightrag - INFO - _do_upsert:query: - MERGE (n:`THE CHARCOAL STOVE`) - SET n += $properties - RETURN n - :result:{'entity_type': '"TECHNOLOGY"', 'description': '"The Charcoal Stove is a humble source of warmth within the Low-Browed Shop, indicative of the bleak environment."', 'source_id': 'chunk-f1a4fbcf1ed86864b9bfd5e8dba4c683'} -2024-10-30 06:05:02,940 - lightrag - INFO - get_node:query:MATCH (n:`OLD JOE`) RETURN n:result:"Old Joe is a grey-haired man who runs a shop where people come to sell their belongings after a death, embodying a rough, pragmatic character.""Old Joe is a grey-haired man who runs a shop where people come to sell their belongings after a death, embodying a rough, pragmatic character.""Old Joe is a grey-haired man, nearly seventy years old, who runs a shop and conducts business in a rather nonchalant manner, showcasing a certain charm amidst his questionable dealings."', 'source_id': 'chunk-60fc063c79fc0d4acc91a57e79de04dc'}> -2024-10-30 06:05:03,073 - lightrag - INFO - _do_upsert:query: - MERGE (n:`OLD JOE`) - SET n += $properties - RETURN n - :result:{'entity_type': '"PERSON"', 'description': '"Old Joe is a grey-haired man who runs a shop where people come to sell their belongings after a death, embodying a rough, pragmatic character.""Old Joe is a grey-haired man who runs a shop where people come to sell their belongings after a death, embodying a rough, pragmatic character.""Old Joe is a grey-haired man who runs a shop where people come to sell their belongings after a death, embodying a rough, pragmatic character.""Old Joe is a grey-haired man who runs a shop where people come to sell their belongings after a death, embodying a rough, pragmatic character.""Old Joe is a grey-haired man, nearly seventy years old, who runs a shop and conducts business in a rather nonchalant manner, showcasing a certain charm amidst his questionable dealings."', 'source_id': 'chunk-60fc063c79fc0d4acc91a57e79de04dc'} -2024-10-30 06:05:03,202 - lightrag - INFO - get_node:query:MATCH (n:`MRS. DILBER`) RETURN n:result:"Mrs. Dilber is a laundress who participates in the gathering, commenting on the morality of their actions with a laugh.""Mrs. Dilber is a laundress who participates in the gathering, commenting on the morality of their actions with a laugh.""Mrs. Dilber is a laundress who participates in the gathering, commenting on the morality of their actions with a laugh."', 'source_id': 'chunk-60fc063c79fc0d4acc91a57e79de04dc'}> -2024-10-30 06:05:03,337 - lightrag - INFO - _do_upsert:query: - MERGE (n:`MRS. DILBER`) - SET n += $properties - RETURN n - :result:{'entity_type': '"PERSON"', 'description': '"Mrs. Dilber is a laundress who is involved in the discussion about the belongings they are handling, exhibiting a pragmatic attitude towards the situation.""Mrs. Dilber is a laundress who participates in the gathering, commenting on the morality of their actions with a laugh.""Mrs. Dilber is a laundress who participates in the gathering, commenting on the morality of their actions with a laugh.""Mrs. Dilber is a laundress who participates in the gathering, commenting on the morality of their actions with a laugh.""Mrs. Dilber is a laundress who participates in the gathering, commenting on the morality of their actions with a laugh."', 'source_id': 'chunk-60fc063c79fc0d4acc91a57e79de04dc'} -2024-10-30 06:05:03,467 - lightrag - INFO - get_node:query:MATCH (n:`THE MAN IN FADED BLACK`) RETURN n:result: -2024-10-30 06:05:03,601 - lightrag - INFO - _do_upsert:query: - MERGE (n:`THE MAN IN FADED BLACK`) - SET n += $properties - RETURN n - :result:{'entity_type': '"PERSON"', 'description': '"The Man in Faded Black is a character who, echoing the sentiments of the others, reveals his modest haul of stolen goods during the gathering."', 'source_id': 'chunk-60fc063c79fc0d4acc91a57e79de04dc'} -2024-10-30 06:05:03,733 - lightrag - INFO - get_node:query:MATCH (n:`THE SHOP`) RETURN n:result:"The Shop is a setting where characters gather to appraise items they have taken from the deceased, reflecting their attitudes towards death and morality.""The Shop is a setting where characters gather to appraise items they have taken from the deceased, reflecting their attitudes towards death and morality.""The Shop is a setting where characters gather to appraise items they have taken from the deceased, reflecting their attitudes towards death and morality."', 'source_id': 'chunk-60fc063c79fc0d4acc91a57e79de04dc'}> -2024-10-30 06:05:03,869 - lightrag - INFO - _do_upsert:query: - MERGE (n:`THE SHOP`) - SET n += $properties - RETURN n - :result:{'entity_type': '"ORGANIZATION"', 'description': '"The Shop is Old Joe\'s place of business and serves as the meeting location for the characters, where they evaluate and exchange stolen items.""The Shop is a setting where characters gather to appraise items they have taken from the deceased, reflecting their attitudes towards death and morality.""The Shop is a setting where characters gather to appraise items they have taken from the deceased, reflecting their attitudes towards death and morality.""The Shop is a setting where characters gather to appraise items they have taken from the deceased, reflecting their attitudes towards death and morality.""The Shop is a setting where characters gather to appraise items they have taken from the deceased, reflecting their attitudes towards death and morality."', 'source_id': 'chunk-60fc063c79fc0d4acc91a57e79de04dc'} -2024-10-30 06:05:04,004 - lightrag - INFO - get_node:query:MATCH (n:`THE BUNDLE`) RETURN n:result:"The Bundle contains the belongings of the deceased man, which serve as a focal point for discussion among the characters regarding value and morality.""The Bundle contains the belongings of the deceased man, which serve as a focal point for discussion among the characters regarding value and morality.""The Bundle refers to the collection of stolen items brought by the characters to Old Joe\'s shop for appraisal, symbolizing their actions post-death.""The Bundle refers to the collection of stolen items that the characters present to Old Joe for appraisal.""The Bundle refers to the collection of stolen items brought by the characters to Old Joe\'s shop for appraisal, symbolizing their actions post-death.""The Bundle refers to the collection of stolen items brought by the characters to Old Joe\'s shop for appraisal, symbolizing their actions post-death."', 'source_id': 'chunk-60fc063c79fc0d4acc91a57e79de04dcchunk-e1f29eeadc1d8ab46dc8a0bbd3c56b64'}> -2024-10-30 06:05:04,139 - lightrag - INFO - _do_upsert:query: - MERGE (n:`THE BUNDLE`) - SET n += $properties - RETURN n - :result:{'entity_type': '"EVENT"', 'description': '"The Bundle contains the belongings of the deceased man, which serve as a focal point for discussion among the characters regarding value and morality.""The Bundle contains the belongings of the deceased man, which serve as a focal point for discussion among the characters regarding value and morality.""The Bundle contains the belongings of the deceased man, which serve as a focal point for discussion among the characters regarding value and morality.""The Bundle contains the belongings of the deceased man, which serve as a focal point for discussion among the characters regarding value and morality.""The Bundle refers to the collection of stolen items brought by the characters to Old Joe\'s shop for appraisal, symbolizing their actions post-death.""The Bundle refers to the collection of stolen items that the characters present to Old Joe for appraisal.""The Bundle refers to the collection of stolen items brought by the characters to Old Joe\'s shop for appraisal, symbolizing their actions post-death.""The Bundle refers to the collection of stolen items brought by the characters to Old Joe\'s shop for appraisal, symbolizing their actions post-death.""The Bundle refers to the collection of stolen items brought by the characters to Old Joe\'s shop for appraisal, symbolizing their actions post-death."', 'source_id': 'chunk-e1f29eeadc1d8ab46dc8a0bbd3c56b64chunk-60fc063c79fc0d4acc91a57e79de04dc'} -2024-10-30 06:05:04,269 - lightrag - INFO - get_node:query:MATCH (n:`THE DEATH`) RETURN n:result: -2024-10-30 06:05:04,405 - lightrag - INFO - _do_upsert:query: - MERGE (n:`THE DEATH`) - SET n += $properties - RETURN n - :result:{'entity_type': '"EVENT"', 'description': '"The Death signifies the passing of a man whose belongings are being appraised, influencing the motivations and actions of the characters."', 'source_id': 'chunk-60fc063c79fc0d4acc91a57e79de04dc'} -2024-10-30 06:05:04,535 - lightrag - INFO - get_node:query:MATCH (n:`THE STOLEN GOODS`) RETURN n:result: -2024-10-30 06:05:04,668 - lightrag - INFO - _do_upsert:query: - MERGE (n:`THE STOLEN GOODS`) - SET n += $properties - RETURN n - :result:{'entity_type': '"EVENT"', 'description': '"The Stolen Goods are the items that the characters bring to Old Joe for evaluation, highlighting their moral stance and the circumstances surrounding the death."', 'source_id': 'chunk-60fc063c79fc0d4acc91a57e79de04dc'} -2024-10-30 06:05:04,795 - lightrag - INFO - get_node:query:MATCH (n:`THE ACCUSATION`) RETURN n:result: -2024-10-30 06:05:04,929 - lightrag - INFO - _do_upsert:query: - MERGE (n:`THE ACCUSATION`) - SET n += $properties - RETURN n - :result:{'entity_type': '"EVENT"', 'description': '"The Accusation refers to the implied judgement of the deceased\'s character that the characters discuss while evaluating their actions."', 'source_id': 'chunk-60fc063c79fc0d4acc91a57e79de04dc'} -2024-10-30 06:05:05,058 - lightrag - INFO - get_node:query:MATCH (n:`THE PARLOUR`) RETURN n:result: -2024-10-30 06:05:05,192 - lightrag - INFO - _do_upsert:query: - MERGE (n:`THE PARLOUR`) - SET n += $properties - RETURN n - :result:{'entity_type': '"LOCATION"', 'description': '"The Parlour is the private space behind the shop curtain where the characters engage in conversation and appraisal, symbolizing a shift from public to private."', 'source_id': 'chunk-60fc063c79fc0d4acc91a57e79de04dc'} -2024-10-30 06:05:05,322 - lightrag - INFO - get_node:query:MATCH (n:`THE RAGS`) RETURN n:result: -2024-10-30 06:05:05,459 - lightrag - INFO - _do_upsert:query: - MERGE (n:`THE RAGS`) - SET n += $properties - RETURN n - :result:{'entity_type': '"CONCEPT"', 'description': '"The Rags serve as a metaphor for the characters\' grim circumstances and the societal implications of their gathering, accentuating the theme of decay and neglect."', 'source_id': 'chunk-60fc063c79fc0d4acc91a57e79de04dc'} -2024-10-30 06:05:05,590 - lightrag - INFO - get_node:query:MATCH (n:`THE COLD AIR`) RETURN n:result: -2024-10-30 06:05:05,727 - lightrag - INFO - _do_upsert:query: - MERGE (n:`THE COLD AIR`) - SET n += $properties - RETURN n - :result:{'entity_type': '"CONCEPT"', 'description': '"The Cold Air symbolizes the harsh realities surrounding the characters and their actions, emphasizing the atmosphere of deprivation."', 'source_id': 'chunk-60fc063c79fc0d4acc91a57e79de04dc'} -2024-10-30 06:05:05,858 - lightrag - INFO - get_node:query:MATCH (n:`JUDGMENT`) RETURN n:result: -2024-10-30 06:05:05,994 - lightrag - INFO - _do_upsert:query: - MERGE (n:`JUDGMENT`) - SET n += $properties - RETURN n - :result:{'entity_type': '"CONCEPT"', 'description': '"Judgment here refers to the characters\' reflections on morality regarding their actions after the death, questioning societal norms and individual ethics."', 'source_id': 'chunk-60fc063c79fc0d4acc91a57e79de04dc'} -2024-10-30 06:05:06,170 - lightrag - INFO - get_node:query:MATCH (n:`THE LAUGHTER`) RETURN n:result: -2024-10-30 06:05:06,308 - lightrag - INFO - _do_upsert:query: - MERGE (n:`THE LAUGHTER`) - SET n += $properties - RETURN n - :result:{'entity_type': '"EVENT"', 'description': '"The Laughter represents a shared moment among the characters that highlights their camaraderie in the struggle against their grim realities."', 'source_id': 'chunk-60fc063c79fc0d4acc91a57e79de04dc'} -2024-10-30 06:05:06,441 - lightrag - INFO - get_node:query:MATCH (n:`THE DECEASED MAN`) RETURN n:result: -2024-10-30 06:05:06,575 - lightrag - INFO - _do_upsert:query: - MERGE (n:`THE DECEASED MAN`) - SET n += $properties - RETURN n - :result:{'entity_type': '"PERSON"', 'description': '"The Deceased Man is a character whose belongings are being discussed and whose death prompts reactions of horror and contemplation from Scrooge."', 'source_id': 'chunk-e1f29eeadc1d8ab46dc8a0bbd3c56b64'} -2024-10-30 06:05:06,701 - lightrag - INFO - get_node:query:MATCH (n:`DEATH`) RETURN n:result:"Death is described as a powerful force in the narrative, represented through the imagery of a cold, rigid presence and the contemplation of mortality.""Death refers to the passing of a character that triggers a range of emotions and reflections among the living, influencing their lives and relationships.""Death is depicted as a cold, inevitable force, prompting reflections on the value of life and the consequences of avarice.""Death is depicted as a cold, inevitable force, prompting reflections on the value of life and the consequences of avarice.""Death is depicted as a cold, inevitable force, prompting reflections on the value of life and the consequences of avarice."', 'source_id': 'chunk-02baee20cc9463dbe08170a8e1043e32chunk-83ac129dc9b56f84c46760d153d68e93chunk-e1f29eeadc1d8ab46dc8a0bbd3c56b64'}> -2024-10-30 06:05:06,837 - lightrag - INFO - _do_upsert:query: - MERGE (n:`DEATH`) - SET n += $properties - RETURN n - :result:{'entity_type': '"CONCEPT"', 'description': '"Death in the story is a significant event that triggers discussion among the Businessmen and prompts Scrooge\'s reflections.""Death is described as a powerful force in the narrative, represented through the imagery of a cold, rigid presence and the contemplation of mortality.""Death refers to the passing of a character that triggers a range of emotions and reflections among the living, influencing their lives and relationships.""Death is depicted as a cold, inevitable force, prompting reflections on the value of life and the consequences of avarice.""Death is depicted as a cold, inevitable force, prompting reflections on the value of life and the consequences of avarice.""Death is depicted as a cold, inevitable force, prompting reflections on the value of life and the consequences of avarice.""Death is depicted as a cold, inevitable force, prompting reflections on the value of life and the consequences of avarice."', 'source_id': 'chunk-83ac129dc9b56f84c46760d153d68e93chunk-e1f29eeadc1d8ab46dc8a0bbd3c56b64chunk-02baee20cc9463dbe08170a8e1043e32'} -2024-10-30 06:05:06,976 - lightrag - INFO - get_node:query:MATCH (n:`THE BED`) RETURN n:result:"The Bed represents a significant scene where the deceased man\'s body is laid, evoking deep emotions and realizations about life and morality.""The Bed represents a significant scene where the deceased man\'s body is laid, evoking deep emotions and realizations about life and morality.""The Bed represents a significant scene where the deceased man\'s body is laid, evoking deep emotions and realizations about life and morality."', 'source_id': 'chunk-e1f29eeadc1d8ab46dc8a0bbd3c56b64'}> -2024-10-30 06:05:07,113 - lightrag - INFO - _do_upsert:query: - MERGE (n:`THE BED`) - SET n += $properties - RETURN n - :result:{'entity_type': '"EVENT"', 'description': '"The Bed represents a central object in the scene, symbolizing the final resting place of The Deceased and contributing to the themes of mortality and neglect.""The Bed represents a significant scene where the deceased man\'s body is laid, evoking deep emotions and realizations about life and morality.""The Bed represents a significant scene where the deceased man\'s body is laid, evoking deep emotions and realizations about life and morality.""The Bed represents a significant scene where the deceased man\'s body is laid, evoking deep emotions and realizations about life and morality.""The Bed represents a significant scene where the deceased man\'s body is laid, evoking deep emotions and realizations about life and morality."', 'source_id': 'chunk-e1f29eeadc1d8ab46dc8a0bbd3c56b64'} -2024-10-30 06:05:07,241 - lightrag - INFO - get_node:query:MATCH (n:`THE BLANKETS`) RETURN n:result:"The Blankets are associated with the deceased man\'s body, symbolizing care and the human connection to the dead.""The Blankets are associated with the deceased man\'s body, symbolizing care and the human connection to the dead.""The Blankets are discussed in the context of the deceased\'s possessions, highlighting themes of care and abandonment after death."', 'source_id': 'chunk-e1f29eeadc1d8ab46dc8a0bbd3c56b64'}> -2024-10-30 06:05:07,377 - lightrag - INFO - _do_upsert:query: - MERGE (n:`THE BLANKETS`) - SET n += $properties - RETURN n - :result:{'entity_type': '"CONCEPT"', 'description': '"The Blankets are associated with the deceased man\'s body, symbolizing care and the human connection to the dead.""The Blankets are associated with the deceased man\'s body, symbolizing care and the human connection to the dead.""The Blankets are associated with the deceased man\'s body, symbolizing care and the human connection to the dead.""The Blankets are associated with the deceased man\'s body, symbolizing care and the human connection to the dead.""The Blankets are discussed in the context of the deceased\'s possessions, highlighting themes of care and abandonment after death."', 'source_id': 'chunk-e1f29eeadc1d8ab46dc8a0bbd3c56b64'} -2024-10-30 06:05:07,511 - lightrag - INFO - get_node:query:MATCH (n:`THE OIL`) RETURN n:result: -2024-10-30 06:05:07,645 - lightrag - INFO - _do_upsert:query: - MERGE (n:`THE OIL`) - SET n += $properties - RETURN n - :result:{'entity_type': '"CONCEPT"', 'description': '"The Oil is a material that the woman is cautious about spilling, representing the practical and sometimes distasteful attitude towards the deceased\'s belongings."', 'source_id': 'chunk-e1f29eeadc1d8ab46dc8a0bbd3c56b64'} -2024-10-30 06:05:07,774 - lightrag - INFO - get_node:query:MATCH (n:`THE SHIRT`) RETURN n:result: -2024-10-30 06:05:07,909 - lightrag - INFO - _do_upsert:query: - MERGE (n:`THE SHIRT`) - SET n += $properties - RETURN n - :result:{'entity_type': '"CONCEPT"', 'description': '"The Shirt belonged to the deceased man and is evaluated by the woman who claims it is in good condition, further emphasizing her pragmatic approach to death."', 'source_id': 'chunk-e1f29eeadc1d8ab46dc8a0bbd3c56b64'} -2024-10-30 06:05:08,038 - lightrag - INFO - get_node:query:MATCH (n:`THE FLANNEL BAG`) RETURN n:result:"The Flannel Bag is used by Joe to show the money gained from their dealings with the deceased, highlighting the theme of profit from death.""The Flannel Bag is used by Joe to show the money gained from their dealings with the deceased, highlighting the theme of profit from death.""The Flannel Bag is used by Joe to show the money gained from their dealings with the deceased, highlighting the theme of profit from death."', 'source_id': 'chunk-e1f29eeadc1d8ab46dc8a0bbd3c56b64'}> -2024-10-30 06:05:08,172 - lightrag - INFO - _do_upsert:query: - MERGE (n:`THE FLANNEL BAG`) - SET n += $properties - RETURN n - :result:{'entity_type': '"CONCEPT"', 'description': '"The Flannel Bag contains money and symbolizes the materialistic aspects of life and the relationships surrounding The Deceased’s possessions.""The Flannel Bag is used by Joe to show the money gained from their dealings with the deceased, highlighting the theme of profit from death.""The Flannel Bag is used by Joe to show the money gained from their dealings with the deceased, highlighting the theme of profit from death.""The Flannel Bag is used by Joe to show the money gained from their dealings with the deceased, highlighting the theme of profit from death.""The Flannel Bag is used by Joe to show the money gained from their dealings with the deceased, highlighting the theme of profit from death."', 'source_id': 'chunk-e1f29eeadc1d8ab46dc8a0bbd3c56b64'} -2024-10-30 06:05:08,308 - lightrag - INFO - get_node:query:MATCH (n:`OLD MAN'S LAMP`) RETURN n:result: -2024-10-30 06:05:08,442 - lightrag - INFO - _do_upsert:query: - MERGE (n:`OLD MAN'S LAMP`) - SET n += $properties - RETURN n - :result:{'entity_type': '"CONCEPT"', 'description': '"The Old Man\'s Lamp provides scant light in the scene, contributing to the mood of tension and eeriness surrounding the deceased."', 'source_id': 'chunk-e1f29eeadc1d8ab46dc8a0bbd3c56b64'} -2024-10-30 06:05:08,574 - lightrag - INFO - get_node:query:MATCH (n:`THE CORPSE`) RETURN n:result: -2024-10-30 06:05:08,708 - lightrag - INFO - _do_upsert:query: - MERGE (n:`THE CORPSE`) - SET n += $properties - RETURN n - :result:{'entity_type': '"PERSON"', 'description': '"The Corpse represents the deceased man whose belongings are being discussed, serving as a stark reminder of mortality."', 'source_id': 'chunk-e1f29eeadc1d8ab46dc8a0bbd3c56b64'} -2024-10-30 06:05:08,835 - lightrag - INFO - get_node:query:MATCH (n:`THE DARK ROOM`) RETURN n:result:"The Dark Room is where the corpse lies, symbolizing isolation and the lack of care for the deceased.""The Dark Room is where the corpse lies, symbolizing isolation and the lack of care for the deceased.""The Dark Room serves as the setting for the scene, enhancing the atmosphere of dread and the theme of impending death."', 'source_id': 'chunk-e1f29eeadc1d8ab46dc8a0bbd3c56b64'}> -2024-10-30 06:05:08,972 - lightrag - INFO - _do_upsert:query: - MERGE (n:`THE DARK ROOM`) - SET n += $properties - RETURN n - :result:{'entity_type': '"GEO"', 'description': '"The Dark Room is where the corpse lies, symbolizing isolation and the lack of care for the deceased.""The Dark Room is where the corpse lies, symbolizing isolation and the lack of care for the deceased.""The Dark Room is where the corpse lies, symbolizing isolation and the lack of care for the deceased.""The Dark Room is where the corpse lies, symbolizing isolation and the lack of care for the deceased.""The Dark Room serves as the setting for the scene, enhancing the atmosphere of dread and the theme of impending death."', 'source_id': 'chunk-e1f29eeadc1d8ab46dc8a0bbd3c56b64'} -2024-10-30 06:05:09,103 - lightrag - INFO - get_node:query:MATCH (n:`CAROLINE`) RETURN n:result:"Caroline is portrayed as a mother filled with hope and emotion regarding her husband’s situation, revealing her character through her reactions to news.""Caroline is portrayed as a mother filled with hope and emotion regarding her husband’s situation, revealing her character through her reactions to news.""Caroline is portrayed as a mother filled with hope and emotion regarding her husband’s situation, revealing her character through her reactions to news."', 'source_id': 'chunk-83ac129dc9b56f84c46760d153d68e93'}> -2024-10-30 06:05:09,241 - lightrag - INFO - _do_upsert:query: - MERGE (n:`CAROLINE`) - SET n += $properties - RETURN n - :result:{'entity_type': '"PERSON"', 'description': '"Caroline is a character representing hope and emotional depth, reacting to her husband\'s news about their financial situation with a mixture of dread and optimism.""Caroline is portrayed as a mother filled with hope and emotion regarding her husband’s situation, revealing her character through her reactions to news.""Caroline is portrayed as a mother filled with hope and emotion regarding her husband’s situation, revealing her character through her reactions to news.""Caroline is portrayed as a mother filled with hope and emotion regarding her husband’s situation, revealing her character through her reactions to news.""Caroline is portrayed as a mother filled with hope and emotion regarding her husband’s situation, revealing her character through her reactions to news."', 'source_id': 'chunk-83ac129dc9b56f84c46760d153d68e93'} -2024-10-30 06:05:09,371 - lightrag - INFO - get_node:query:MATCH (n:`THE CRATCHIT HOUSE`) RETURN n:result: -2024-10-30 06:05:09,504 - lightrag - INFO - _do_upsert:query: - MERGE (n:`THE CRATCHIT HOUSE`) - SET n += $properties - RETURN n - :result:{'entity_type': '"ORGANIZATION"', 'description': '"The Cratchit House symbolizes a place of familial connection and warmth, despite the hardships faced by its inhabitants."', 'source_id': 'chunk-83ac129dc9b56f84c46760d153d68e93'} -2024-10-30 06:05:09,632 - lightrag - INFO - get_node:query:MATCH (n:`THE EVENT OF DEATH`) RETURN n:result: -2024-10-30 06:05:09,766 - lightrag - INFO - _do_upsert:query: - MERGE (n:`THE EVENT OF DEATH`) - SET n += $properties - RETURN n - :result:{'entity_type': '"EVENT"', 'description': '"The Event of Death signifies a pivotal moment affecting the characters, transitioning their emotional state and family dynamics."', 'source_id': 'chunk-83ac129dc9b56f84c46760d153d68e93'} -2024-10-30 06:05:09,896 - lightrag - INFO - get_node:query:MATCH (n:`THE HUSBAND`) RETURN n:result: -2024-10-30 06:05:10,033 - lightrag - INFO - _do_upsert:query: - MERGE (n:`THE HUSBAND`) - SET n += $properties - RETURN n - :result:{'entity_type': '"PERSON"', 'description': '"The Husband is depicted as a careworn man, bringing news that impacts his family\'s emotional state, symbolizing the struggle between hope and despair."', 'source_id': 'chunk-83ac129dc9b56f84c46760d153d68e93'} -2024-10-30 06:05:10,161 - lightrag - INFO - get_node:query:MATCH (n:`PETER`) RETURN n:result:"Peter is one of the Cratchit children, who occasionally expresses a sense of duty and future aspirations, contributing to family discussions.""Peter is a son in the Cratchit family, responsible and calm, attempting to engage his siblings amidst a tense family situation and financial uncertainty.""Peter is the son of Bob and Mrs. Cratchit, showing concern and support for his father and siblings.""Peter is a son in the Cratchit family, responsible and calm, attempting to engage his siblings amidst a tense family situation and financial uncertainty.""Peter is the son of Bob and Mrs. Cratchit, showing concern and support for his father and siblings.""Peter is a son in the Cratchit family, responsible and calm, attempting to engage his siblings amidst a tense family situation and financial uncertainty.""Peter is the son of Bob and Mrs. Cratchit, showing concern and support for his father and siblings."', 'source_id': 'chunk-1d4b58de5429cd1261370c231c8673e8chunk-83ac129dc9b56f84c46760d153d68e93'}> -2024-10-30 06:05:10,298 - lightrag - INFO - _do_upsert:query: - MERGE (n:`PETER`) - SET n += $properties - RETURN n - :result:{'entity_type': '"PERSON"', 'description': '"Peter is a member of the Cratchit family, characterized by his quiet demeanor while being engaged in reading, representing the next generation\'s concern.""Peter is one of the Cratchit children, who occasionally expresses a sense of duty and future aspirations, contributing to family discussions.""Peter is a son in the Cratchit family, responsible and calm, attempting to engage his siblings amidst a tense family situation and financial uncertainty.""Peter is the son of Bob and Mrs. Cratchit, showing concern and support for his father and siblings.""Peter is a son in the Cratchit family, responsible and calm, attempting to engage his siblings amidst a tense family situation and financial uncertainty.""Peter is the son of Bob and Mrs. Cratchit, showing concern and support for his father and siblings.""Peter is a son in the Cratchit family, responsible and calm, attempting to engage his siblings amidst a tense family situation and financial uncertainty.""Peter is the son of Bob and Mrs. Cratchit, showing concern and support for his father and siblings.""Peter is a son in the Cratchit family, responsible and calm, attempting to engage his siblings amidst a tense family situation and financial uncertainty.""Peter is the son of Bob and Mrs. Cratchit, showing concern and support for his father and siblings."', 'source_id': 'chunk-1d4b58de5429cd1261370c231c8673e8chunk-83ac129dc9b56f84c46760d153d68e93'} -2024-10-30 06:05:10,435 - lightrag - INFO - get_node:query:MATCH (n:`THE DEBT`) RETURN n:result: -2024-10-30 06:05:10,566 - lightrag - INFO - _do_upsert:query: - MERGE (n:`THE DEBT`) - SET n += $properties - RETURN n - :result:{'entity_type': '"CONCEPT"', 'description': '"The Debt symbolizes the financial burdens faced by the Cratchit family, a source of anxiety and tension impacting their morale and outlook."', 'source_id': 'chunk-83ac129dc9b56f84c46760d153d68e93'} -2024-10-30 06:05:10,696 - lightrag - INFO - get_node:query:MATCH (n:`MR. SCROOGE'S NEPHEW`) RETURN n:result:"Mr. Scrooge\'s Nephew is a kind gentleman who expresses sympathy for Bob Cratchit and offers help, reflecting goodwill.""Mr. Scrooge\'s Nephew is a kind gentleman who expresses sympathy for Bob Cratchit and offers help, reflecting goodwill.""Mr. Scrooge\'s Nephew is a kind gentleman who shows concern for Bob Cratchit and offers support, symbolizing generosity and compassion."', 'source_id': 'chunk-1d4b58de5429cd1261370c231c8673e8'}> -2024-10-30 06:05:10,830 - lightrag - INFO - _do_upsert:query: - MERGE (n:`MR. SCROOGE'S NEPHEW`) - SET n += $properties - RETURN n - :result:{'entity_type': '"PERSON"', 'description': '"Mr. Scrooge\'s Nephew is a kind gentleman who expresses sympathy for Bob Cratchit and offers help, reflecting goodwill.""Mr. Scrooge\'s Nephew is a kind gentleman who expresses sympathy for Bob Cratchit and offers help, reflecting goodwill.""Mr. Scrooge\'s Nephew is a kind gentleman who expresses sympathy for Bob Cratchit and offers help, reflecting goodwill.""Mr. Scrooge\'s Nephew is a kind gentleman who expresses sympathy for Bob Cratchit and offers help, reflecting goodwill.""Mr. Scrooge\'s Nephew is a kind gentleman who shows concern for Bob Cratchit and offers support, symbolizing generosity and compassion."', 'source_id': 'chunk-1d4b58de5429cd1261370c231c8673e8'} -2024-10-30 06:05:10,959 - lightrag - INFO - get_node:query:MATCH (n:`THE TWO YOUNG CRATCHITS`) RETURN n:result:"The Two Young Cratchits are siblings who show affection for their father, demonstrating the innocence and unity of childhood.""The Two Young Cratchits are siblings who show affection for their father, demonstrating the innocence and unity of childhood.""The Two Young Cratchits are the younger children in the Cratchit family, who express affection towards their father, Bob."', 'source_id': 'chunk-1d4b58de5429cd1261370c231c8673e8'}> -2024-10-30 06:05:11,092 - lightrag - INFO - _do_upsert:query: - MERGE (n:`THE TWO YOUNG CRATCHITS`) - SET n += $properties - RETURN n - :result:{'entity_type': '"PERSON"', 'description': '"The Two Young Cratchits are siblings who show affection for their father, demonstrating the innocence and unity of childhood.""The Two Young Cratchits are siblings who show affection for their father, demonstrating the innocence and unity of childhood.""The Two Young Cratchits are siblings who show affection for their father, demonstrating the innocence and unity of childhood.""The Two Young Cratchits are siblings who show affection for their father, demonstrating the innocence and unity of childhood.""The Two Young Cratchits are the younger children in the Cratchit family, who express affection towards their father, Bob."', 'source_id': 'chunk-1d4b58de5429cd1261370c231c8673e8'} -2024-10-30 06:05:11,221 - lightrag - INFO - get_node:query:MATCH (n:`THE TABLE`) RETURN n:result: -2024-10-30 06:05:11,353 - lightrag - INFO - _do_upsert:query: - MERGE (n:`THE TABLE`) - SET n += $properties - RETURN n - :result:{'entity_type': '"GEO"', 'description': '"The Table is where the Cratchit family gathers, representing their domestic life and togetherness."', 'source_id': 'chunk-1d4b58de5429cd1261370c231c8673e8'} -2024-10-30 06:05:11,483 - lightrag - INFO - get_node:query:MATCH (n:`THE ROOM ABOVE`) RETURN n:result: -2024-10-30 06:05:11,618 - lightrag - INFO - _do_upsert:query: - MERGE (n:`THE ROOM ABOVE`) - SET n += $properties - RETURN n - :result:{'entity_type': '"GEO"', 'description': '"The Room Above is a space in the Cratchit household which is illuminated cheerfully, suggesting a haven despite their hardships."', 'source_id': 'chunk-1d4b58de5429cd1261370c231c8673e8'} -2024-10-30 06:05:11,746 - lightrag - INFO - get_node:query:MATCH (n:`THE GHOST OF CHRISTMAS YET TO COME`) RETURN n:result:"The Ghost of Christmas Yet to Come is a spirit that shows Scrooge the consequences of his actions, pointing toward his eventual demise.""The Ghost of Christmas Yet to Come reveals the potential consequences of Scrooge\'s current life choices, emphasizing themes of mortality and legacy.""The Ghost of Christmas Yet to Come is a spirit that shows Scrooge the consequences of his actions, pointing toward his eventual demise.""The Ghost of Christmas Yet to Come reveals the potential consequences of Scrooge\'s current life choices, emphasizing themes of mortality and legacy.""The Ghost of Christmas Yet to Come is a spirit that shows Scrooge the consequences of his actions, pointing toward his eventual demise.""The Ghost of Christmas Yet to Come reveals the potential consequences of Scrooge\'s current life choices, emphasizing themes of mortality and legacy."', 'source_id': 'chunk-90b95db5c53e4364a6bee36b7aa4d70fchunk-91572b3cd42786ba4cb2f180ca25cbf4'}> -2024-10-30 06:05:11,881 - lightrag - INFO - _do_upsert:query: - MERGE (n:`THE GHOST OF CHRISTMAS YET TO COME`) - SET n += $properties - RETURN n - :result:{'entity_type': '"ORGANIZATION"', 'description': '"The Ghost of Christmas Yet to Come is a spectral being that guides Scrooge through visions of his potential future.""The Ghost of Christmas Yet to Come is a spirit that shows Scrooge the consequences of his actions, pointing toward his eventual demise.""The Ghost of Christmas Yet to Come reveals the potential consequences of Scrooge\'s current life choices, emphasizing themes of mortality and legacy.""The Ghost of Christmas Yet to Come is a spirit that shows Scrooge the consequences of his actions, pointing toward his eventual demise.""The Ghost of Christmas Yet to Come reveals the potential consequences of Scrooge\'s current life choices, emphasizing themes of mortality and legacy.""The Ghost of Christmas Yet to Come is a spirit that shows Scrooge the consequences of his actions, pointing toward his eventual demise.""The Ghost of Christmas Yet to Come reveals the potential consequences of Scrooge\'s current life choices, emphasizing themes of mortality and legacy.""The Ghost of Christmas Yet to Come is a spirit that shows Scrooge the consequences of his actions, pointing toward his eventual demise.""The Ghost of Christmas Yet to Come reveals the potential consequences of Scrooge\'s current life choices, emphasizing themes of mortality and legacy."', 'source_id': 'chunk-90b95db5c53e4364a6bee36b7aa4d70fchunk-91572b3cd42786ba4cb2f180ca25cbf4'} -2024-10-30 06:05:12,013 - lightrag - INFO - get_node:query:MATCH (n:`GRAVE`) RETURN n:result: -2024-10-30 06:05:12,146 - lightrag - INFO - _do_upsert:query: - MERGE (n:`GRAVE`) - SET n += $properties - RETURN n - :result:{'entity_type': '"GEO"', 'description': '"The Grave represents a place where Scrooge\'s future self lies, symbolizing death and the consequences of a life unexamined."', 'source_id': 'chunk-91572b3cd42786ba4cb2f180ca25cbf4'} -2024-10-30 06:05:12,276 - lightrag - INFO - get_node:query:MATCH (n:`THE GRAVESTONE`) RETURN n:result: -2024-10-30 06:05:12,410 - lightrag - INFO - _do_upsert:query: - MERGE (n:`THE GRAVESTONE`) - SET n += $properties - RETURN n - :result:{'entity_type': '"GEO"', 'description': '"The Gravestone bears Scrooge\'s name and symbolizes mortality and the legacy of his actions during his lifetime."', 'source_id': 'chunk-91572b3cd42786ba4cb2f180ca25cbf4'} -2024-10-30 06:05:12,539 - lightrag - INFO - get_node:query:MATCH (n:`THE FUTURE`) RETURN n:result:"The Future represents the potential outcomes of Scrooge’s life choices, depicted through the visions shown by the Spirits.""The Future refers to the outcomes that Scrooge may face based on his current actions, raising themes of choice and consequence.""The Future refers to the outcomes that Scrooge may face based on his current actions, raising themes of choice and consequence.""The Future refers to the outcomes that Scrooge may face based on his current actions, raising themes of choice and consequence."', 'source_id': 'chunk-91572b3cd42786ba4cb2f180ca25cbf4chunk-02baee20cc9463dbe08170a8e1043e32'}> -2024-10-30 06:05:12,674 - lightrag - INFO - _do_upsert:query: - MERGE (n:`THE FUTURE`) - SET n += $properties - RETURN n - :result:{'entity_type': '"CONCEPT"', 'description': '"The Future is represented as a realm of possibility and consequence that concerns Scrooge\'s fate and choices.""The Future represents the potential outcomes of Scrooge’s life choices, depicted through the visions shown by the Spirits.""The Future refers to the outcomes that Scrooge may face based on his current actions, raising themes of choice and consequence.""The Future refers to the outcomes that Scrooge may face based on his current actions, raising themes of choice and consequence.""The Future refers to the outcomes that Scrooge may face based on his current actions, raising themes of choice and consequence.""The Future refers to the outcomes that Scrooge may face based on his current actions, raising themes of choice and consequence."', 'source_id': 'chunk-91572b3cd42786ba4cb2f180ca25cbf4chunk-02baee20cc9463dbe08170a8e1043e32'} -2024-10-30 06:05:12,801 - lightrag - INFO - get_node:query:MATCH (n:`THE PAST`) RETURN n:result:"The Past reflects on Scrooge\'s earlier life choices and experiences that shaped who he has become.""The Past reflects on Scrooge\'s earlier life choices and experiences that shaped who he has become.""The Past reflects on Scrooge\'s earlier life choices and experiences that shaped who he has become."', 'source_id': 'chunk-91572b3cd42786ba4cb2f180ca25cbf4'}> -2024-10-30 06:05:12,936 - lightrag - INFO - _do_upsert:query: - MERGE (n:`THE PAST`) - SET n += $properties - RETURN n - :result:{'entity_type': '"CONCEPT"', 'description': '"The Past is a concept that reflects Scrooge\'s memories and previous actions that influence his current state and future decisions.""The Past reflects on Scrooge\'s earlier life choices and experiences that shaped who he has become.""The Past reflects on Scrooge\'s earlier life choices and experiences that shaped who he has become.""The Past reflects on Scrooge\'s earlier life choices and experiences that shaped who he has become.""The Past reflects on Scrooge\'s earlier life choices and experiences that shaped who he has become."', 'source_id': 'chunk-91572b3cd42786ba4cb2f180ca25cbf4'} -2024-10-30 06:05:13,067 - lightrag - INFO - get_node:query:MATCH (n:`THE PRESENT`) RETURN n:result:"The Present emphasizes the importance of living in the moment and embracing current opportunities for change.""The Present emphasizes the importance of living in the moment and embracing current opportunities for change.""The Present represents the current moment in Scrooge\'s life that he must recognize and change to achieve redemption."', 'source_id': 'chunk-91572b3cd42786ba4cb2f180ca25cbf4'}> -2024-10-30 06:05:13,202 - lightrag - INFO - _do_upsert:query: - MERGE (n:`THE PRESENT`) - SET n += $properties - RETURN n - :result:{'entity_type': '"CONCEPT"', 'description': '"The Present emphasizes the importance of living in the moment and embracing current opportunities for change.""The Present emphasizes the importance of living in the moment and embracing current opportunities for change.""The Present emphasizes the importance of living in the moment and embracing current opportunities for change.""The Present emphasizes the importance of living in the moment and embracing current opportunities for change.""The Present represents the current moment in Scrooge\'s life that he must recognize and change to achieve redemption."', 'source_id': 'chunk-91572b3cd42786ba4cb2f180ca25cbf4'} -2024-10-30 06:05:13,331 - lightrag - INFO - get_node:query:MATCH (n:`THE POULTERER'S`) RETURN n:result:"The Poulterer\'s is a shop mentioned by Scrooge, relevant in the context of his generous actions towards the Cratchit family.""The Poulterer\'s is a shop mentioned by Scrooge, relevant in the context of his generous actions towards the Cratchit family.""The Poulterer\'s is a shop where Scrooge intends to buy a turkey for the Cratchit family."', 'source_id': 'chunk-90b95db5c53e4364a6bee36b7aa4d70f'}> -2024-10-30 06:05:13,466 - lightrag - INFO - _do_upsert:query: - MERGE (n:`THE POULTERER'S`) - SET n += $properties - RETURN n - :result:{'entity_type': '"ORGANIZATION"', 'description': '"The Poulterer\'s is a shop mentioned by Scrooge, relevant in the context of his generous actions towards the Cratchit family.""The Poulterer\'s is a shop mentioned by Scrooge, relevant in the context of his generous actions towards the Cratchit family.""The Poulterer\'s is a shop mentioned by Scrooge, relevant in the context of his generous actions towards the Cratchit family.""The Poulterer\'s is a shop mentioned by Scrooge, relevant in the context of his generous actions towards the Cratchit family.""The Poulterer\'s is a shop where Scrooge intends to buy a turkey for the Cratchit family."', 'source_id': 'chunk-90b95db5c53e4364a6bee36b7aa4d70f'} -2024-10-30 06:05:13,598 - lightrag - INFO - get_node:query:MATCH (n:`THE SPIRITS`) RETURN n:result:"The Spirits represent the past, present, and future in Scrooge\'s life, guiding him toward redemption and self-reflection.""The Spirits represent the forces that guide Scrooge towards his transformation and are instrumental in his journey of redemption.""The Spirits represent the forces that guide Scrooge towards his transformation and are instrumental in his journey of redemption.""The Spirits represent the forces that guide Scrooge towards his transformation and are instrumental in his journey of redemption."', 'source_id': 'chunk-90b95db5c53e4364a6bee36b7aa4d70fchunk-cb661c37436355ccec2769b1d0350c5f'}> -2024-10-30 06:05:13,733 - lightrag - INFO - _do_upsert:query: - MERGE (n:`THE SPIRITS`) - SET n += $properties - RETURN n - :result:{'entity_type': '"CONCEPT"', 'description': '"The Spirits collectively represent the supernatural forces that seek to guide and teach Scrooge about the impact of his life choices.""The Spirits represent the past, present, and future in Scrooge\'s life, guiding him toward redemption and self-reflection.""The Spirits represent the forces that guide Scrooge towards his transformation and are instrumental in his journey of redemption.""The Spirits represent the forces that guide Scrooge towards his transformation and are instrumental in his journey of redemption.""The Spirits represent the forces that guide Scrooge towards his transformation and are instrumental in his journey of redemption.""The Spirits represent the forces that guide Scrooge towards his transformation and are instrumental in his journey of redemption."', 'source_id': 'chunk-cb661c37436355ccec2769b1d0350c5fchunk-90b95db5c53e4364a6bee36b7aa4d70f'} -2024-10-30 06:05:13,863 - lightrag - INFO - get_node:query:MATCH (n:`THE GHOST OF CHRISTMAS PRESENT`) RETURN n:result:"The Ghost of Christmas Present is a supernatural being that shows Scrooge the true spirit of Christmas, including kindness towards the poor.""The Ghost of Christmas Present signifies abundance and the spirit of joy that Scrooge is encouraged to embrace.""The Ghost of Christmas Present is one of the spirits that help Scrooge understand the importance of generosity and compassion during the festive season.""The Ghost of Christmas Present is one of the spirits that help Scrooge understand the importance of generosity and compassion during the festive season.""The Ghost of Christmas Present is one of the spirits that help Scrooge understand the importance of generosity and compassion during the festive season."', 'source_id': 'chunk-90b95db5c53e4364a6bee36b7aa4d70fchunk-43c9bee23adfa77aa9dedd22401bba7dchunk-b0f459f5af1c3a5e0b92cbe4ee48b77b'}> -2024-10-30 06:05:14,000 - lightrag - INFO - _do_upsert:query: - MERGE (n:`THE GHOST OF CHRISTMAS PRESENT`) - SET n += $properties - RETURN n - :result:{'entity_type': '"PERSON"', 'description': '"The Ghost of Christmas Present is a spirit that guides Scrooge through his memories and the joy of the present Christmas celebration.""The Ghost of Christmas Present is a supernatural being that shows Scrooge the true spirit of Christmas, including kindness towards the poor.""The Ghost of Christmas Present signifies abundance and the spirit of joy that Scrooge is encouraged to embrace.""The Ghost of Christmas Present is one of the spirits that help Scrooge understand the importance of generosity and compassion during the festive season.""The Ghost of Christmas Present is one of the spirits that help Scrooge understand the importance of generosity and compassion during the festive season.""The Ghost of Christmas Present is one of the spirits that help Scrooge understand the importance of generosity and compassion during the festive season.""The Ghost of Christmas Present is one of the spirits that help Scrooge understand the importance of generosity and compassion during the festive season."', 'source_id': 'chunk-43c9bee23adfa77aa9dedd22401bba7dchunk-b0f459f5af1c3a5e0b92cbe4ee48b77bchunk-90b95db5c53e4364a6bee36b7aa4d70f'} -2024-10-30 06:05:14,133 - lightrag - INFO - get_node:query:MATCH (n:`THE CHRISTMAS DINNER`) RETURN n:result: -2024-10-30 06:05:14,267 - lightrag - INFO - _do_upsert:query: - MERGE (n:`THE CHRISTMAS DINNER`) - SET n += $properties - RETURN n - :result:{'entity_type': '"EVENT"', 'description': '"The Christmas Dinner signifies the gathering of the Cratchit family, highlighting themes of togetherness and the warmth of family during the holiday season."', 'source_id': 'chunk-90b95db5c53e4364a6bee36b7aa4d70f'} -2024-10-30 06:05:14,394 - lightrag - INFO - get_node:query:MATCH (n:`THE STREET`) RETURN n:result:"The Street is the setting where Scrooge interacts with the boy and demonstrates his newfound generosity after his transformation.""The Street is the setting where Scrooge interacts with the boy and demonstrates his newfound generosity after his transformation.""The Street is where Mr. Scrooge\'s Nephew encounters Bob Cratchit, facilitating a significant moment of kindness in the narrative.""The Street represents the setting where Scrooge interacts with various characters and experiences joy, emphasizing the festive atmosphere.""The Street represents the setting where Scrooge interacts with various characters and experiences joy, emphasizing the festive atmosphere.""The Street represents the setting where Scrooge interacts with various characters and experiences joy, emphasizing the festive atmosphere."', 'source_id': 'chunk-90b95db5c53e4364a6bee36b7aa4d70fchunk-8f738cb25d60a7dab782162d9d0a25edchunk-1d4b58de5429cd1261370c231c8673e8'}> -2024-10-30 06:05:14,532 - lightrag - INFO - _do_upsert:query: - MERGE (n:`THE STREET`) - SET n += $properties - RETURN n - :result:{'entity_type': '"GEO"', 'description': '"The Street is the setting where Scrooge interacts with the boy and demonstrates his newfound generosity after his transformation.""The Street is the setting where Scrooge interacts with the boy and demonstrates his newfound generosity after his transformation.""The Street is the setting where Scrooge interacts with the boy and demonstrates his newfound generosity after his transformation.""The Street is the setting where Scrooge interacts with the boy and demonstrates his newfound generosity after his transformation.""The Street is where Mr. Scrooge\'s Nephew encounters Bob Cratchit, facilitating a significant moment of kindness in the narrative.""The Street represents the setting where Scrooge interacts with various characters and experiences joy, emphasizing the festive atmosphere.""The Street represents the setting where Scrooge interacts with various characters and experiences joy, emphasizing the festive atmosphere.""The Street represents the setting where Scrooge interacts with various characters and experiences joy, emphasizing the festive atmosphere.""The Street represents the setting where Scrooge interacts with various characters and experiences joy, emphasizing the festive atmosphere."', 'source_id': 'chunk-1d4b58de5429cd1261370c231c8673e8chunk-90b95db5c53e4364a6bee36b7aa4d70fchunk-8f738cb25d60a7dab782162d9d0a25ed'} -2024-10-30 06:05:14,665 - lightrag - INFO - get_node:query:MATCH (n:`THE BOY`) RETURN n:result:"The Boy is a young messenger who interacts with Scrooge during his purchase of the turkey.""The Boy represents innocence and curiosity, serving as a catalyst for Scrooge\'s generous act by purchasing the turkey.""The Boy represents innocence and curiosity, serving as a catalyst for Scrooge\'s generous act by purchasing the turkey.""The Boy represents innocence and curiosity, serving as a catalyst for Scrooge\'s generous act by purchasing the turkey."', 'source_id': 'chunk-90b95db5c53e4364a6bee36b7aa4d70fchunk-8f738cb25d60a7dab782162d9d0a25edchunk-8bc1edd983869352d14cf0886a9175a7'}> -2024-10-30 06:05:14,799 - lightrag - INFO - _do_upsert:query: - MERGE (n:`THE BOY`) - SET n += $properties - RETURN n - :result:{'entity_type': '"PERSON"', 'description': '"The Boy is a character mentioned briefly, who tries to hide behind another girl, indicating shyness among the festive crowd.""The Boy is a young messenger who interacts with Scrooge during his purchase of the turkey.""The Boy represents innocence and curiosity, serving as a catalyst for Scrooge\'s generous act by purchasing the turkey.""The Boy represents innocence and curiosity, serving as a catalyst for Scrooge\'s generous act by purchasing the turkey.""The Boy represents innocence and curiosity, serving as a catalyst for Scrooge\'s generous act by purchasing the turkey.""The Boy represents innocence and curiosity, serving as a catalyst for Scrooge\'s generous act by purchasing the turkey."', 'source_id': 'chunk-90b95db5c53e4364a6bee36b7aa4d70fchunk-8bc1edd983869352d14cf0886a9175a7chunk-8f738cb25d60a7dab782162d9d0a25ed'} -2024-10-30 06:05:14,933 - lightrag - INFO - get_node:query:MATCH (n:`THE TURKEY`) RETURN n:result:"The Turkey represents a key symbol of generosity and festivity during Christmas, as Scrooge purchases it to spread joy.""The Turkey symbolizes the generosity and festive spirit that Scrooge embraces following his transformation.""The Turkey represents a key symbol of generosity and festivity during Christmas, as Scrooge purchases it to spread joy.""The Turkey symbolizes the generosity and festive spirit that Scrooge embraces following his transformation.""The Turkey represents a key symbol of generosity and festivity during Christmas, as Scrooge purchases it to spread joy.""The Turkey symbolizes the generosity and festive spirit that Scrooge embraces following his transformation."', 'source_id': 'chunk-90b95db5c53e4364a6bee36b7aa4d70fchunk-8f738cb25d60a7dab782162d9d0a25ed'}> -2024-10-30 06:05:15,072 - lightrag - INFO - _do_upsert:query: - MERGE (n:`THE TURKEY`) - SET n += $properties - RETURN n - :result:{'entity_type': '"EVENT"', 'description': '"The Turkey is a large bird that Scrooge has humorously commented on sending to Bob, symbolizing generosity and Christmas spirit.""The Turkey represents a key symbol of generosity and festivity during Christmas, as Scrooge purchases it to spread joy.""The Turkey symbolizes the generosity and festive spirit that Scrooge embraces following his transformation.""The Turkey represents a key symbol of generosity and festivity during Christmas, as Scrooge purchases it to spread joy.""The Turkey symbolizes the generosity and festive spirit that Scrooge embraces following his transformation.""The Turkey represents a key symbol of generosity and festivity during Christmas, as Scrooge purchases it to spread joy.""The Turkey symbolizes the generosity and festive spirit that Scrooge embraces following his transformation.""The Turkey represents a key symbol of generosity and festivity during Christmas, as Scrooge purchases it to spread joy.""The Turkey symbolizes the generosity and festive spirit that Scrooge embraces following his transformation."', 'source_id': 'chunk-90b95db5c53e4364a6bee36b7aa4d70fchunk-8f738cb25d60a7dab782162d9d0a25ed'} -2024-10-30 06:05:15,206 - lightrag - INFO - get_node:query:MATCH (n:`THE OLD GENTLEMAN`) RETURN n:result: -2024-10-30 06:05:15,340 - lightrag - INFO - _do_upsert:query: - MERGE (n:`THE OLD GENTLEMAN`) - SET n += $properties - RETURN n - :result:{'entity_type': '"PERSON"', 'description': '"The Old Gentleman is a character with whom Scrooge interacts, showcasing the themes of kindness and forgiveness."', 'source_id': 'chunk-8f738cb25d60a7dab782162d9d0a25ed'} -2024-10-30 06:05:15,470 - lightrag - INFO - get_node:query:MATCH (n:`BOB`) RETURN n:result:"Bob is referenced humorously by Scrooge in the context of a joke regarding a large turkey.""Bob is likely referenced as a character who may receive the turkey sent by Scrooge, highlighting the theme of generosity.""Bob is likely referenced as a character who may receive the turkey sent by Scrooge, highlighting the theme of generosity.""Bob is likely referenced as a character who may receive the turkey sent by Scrooge, highlighting the theme of generosity."', 'source_id': 'chunk-8f738cb25d60a7dab782162d9d0a25edchunk-91572b3cd42786ba4cb2f180ca25cbf4'}> -2024-10-30 06:05:15,609 - lightrag - INFO - _do_upsert:query: - MERGE (n:`BOB`) - SET n += $properties - RETURN n - :result:{'entity_type': '"PERSON"', 'description': '"Bob is a character who reflects on the importance of unity and remembering Tiny Tim among his family.""Bob is referenced humorously by Scrooge in the context of a joke regarding a large turkey.""Bob is likely referenced as a character who may receive the turkey sent by Scrooge, highlighting the theme of generosity.""Bob is likely referenced as a character who may receive the turkey sent by Scrooge, highlighting the theme of generosity.""Bob is likely referenced as a character who may receive the turkey sent by Scrooge, highlighting the theme of generosity.""Bob is likely referenced as a character who may receive the turkey sent by Scrooge, highlighting the theme of generosity."', 'source_id': 'chunk-91572b3cd42786ba4cb2f180ca25cbf4chunk-8f738cb25d60a7dab782162d9d0a25ed'} -2024-10-30 06:05:15,742 - lightrag - INFO - get_node:query:MATCH (n:`THE CAB`) RETURN n:result: -2024-10-30 06:05:15,870 - lightrag - INFO - _do_upsert:query: - MERGE (n:`THE CAB`) - SET n += $properties - RETURN n - :result:{'entity_type': '"EVENT"', 'description': '"The Cab is an event associated with transporting the turkey, illustrating the lengths to which Scrooge is willing to go to share joy."', 'source_id': 'chunk-8f738cb25d60a7dab782162d9d0a25ed'} -2024-10-30 06:05:15,995 - lightrag - INFO - get_node:query:MATCH (n:`THE KITCHEN`) RETURN n:result: -2024-10-30 06:05:16,128 - lightrag - INFO - _do_upsert:query: - MERGE (n:`THE KITCHEN`) - SET n += $properties - RETURN n - :result:{'entity_type': '"GEO"', 'description': '"The Kitchen is a location that Scrooge looks into, symbolizing warmth, family, and the spirit of hospitality during the holiday season."', 'source_id': 'chunk-8f738cb25d60a7dab782162d9d0a25ed'} -2024-10-30 06:05:16,255 - lightrag - INFO - get_node:query:MATCH (n:`MISTRESS`) RETURN n:result: -2024-10-30 06:05:16,390 - lightrag - INFO - _do_upsert:query: - MERGE (n:`MISTRESS`) - SET n += $properties - RETURN n - :result:{'entity_type': '"PERSON"', 'description': '"Mistress is referenced in relation to Fred, indicating the presence of family dynamics during the Christmas celebration."', 'source_id': 'chunk-8f738cb25d60a7dab782162d9d0a25ed'} -2024-10-30 06:05:16,521 - lightrag - INFO - get_node:query:MATCH (n:`THE FAMILY`) RETURN n:result: -2024-10-30 06:05:16,655 - lightrag - INFO - _do_upsert:query: - MERGE (n:`THE FAMILY`) - SET n += $properties - RETURN n - :result:{'entity_type': '"ORGANIZATION"', 'description': '"The Family includes Bob Cratchit and his loved ones, who represent themes of togetherness and support during Christmas."', 'source_id': 'chunk-94bea83e7153fc2064aa382b494936a1'} -2024-10-30 06:05:16,783 - lightrag - INFO - get_node:query:MATCH (n:`THE TANK`) RETURN n:result:"The Tank is the workplace setting where Bob Cratchit works under Scrooge, highlighting the power dynamics in their relationship.""The Tank is the workplace setting where Bob Cratchit works under Scrooge, highlighting the power dynamics in their relationship.""The Tank refers to Bob Cratchit\'s work area, where he encounters Scrooge and faces the consequences of arriving late."', 'source_id': 'chunk-94bea83e7153fc2064aa382b494936a1'}> -2024-10-30 06:05:16,919 - lightrag - INFO - _do_upsert:query: - MERGE (n:`THE TANK`) - SET n += $properties - RETURN n - :result:{'entity_type': '"LOCATION"', 'description': '"The Tank is the workplace setting where Bob Cratchit works under Scrooge, highlighting the power dynamics in their relationship.""The Tank is the workplace setting where Bob Cratchit works under Scrooge, highlighting the power dynamics in their relationship.""The Tank is the workplace setting where Bob Cratchit works under Scrooge, highlighting the power dynamics in their relationship.""The Tank is the workplace setting where Bob Cratchit works under Scrooge, highlighting the power dynamics in their relationship.""The Tank refers to Bob Cratchit\'s work area, where he encounters Scrooge and faces the consequences of arriving late."', 'source_id': 'chunk-94bea83e7153fc2064aa382b494936a1'} -2024-10-30 06:05:17,051 - lightrag - INFO - get_node:query:MATCH (n:`SMOKING BISHOP`) RETURN n:result: -2024-10-30 06:05:17,184 - lightrag - INFO - _do_upsert:query: - MERGE (n:`SMOKING BISHOP`) - SET n += $properties - RETURN n - :result:{'entity_type': '"CONCEPT"', 'description': '"Smoking Bishop is a traditional Christmas drink mentioned in the context of Scrooge and Bob\'s plans to celebrate together, symbolizing festive cheer."', 'source_id': 'chunk-94bea83e7153fc2064aa382b494936a1'} -2024-10-30 06:05:17,314 - lightrag - INFO - get_node:query:MATCH (n:`THE FOUNDATION`) RETURN n:result:"The Foundation, also known as the Project Gutenberg Literary Archive Foundation, owns the compilation copyright in the collection of Project Gutenberg electronic works.""The Foundation, also known as the Project Gutenberg Literary Archive Foundation, owns the compilation copyright in the collection of Project Gutenberg electronic works.""The Foundation, referred to as the Project Gutenberg Literary Archive Foundation, owns the compilation copyright of Project Gutenberg\'s collection."', 'source_id': 'chunk-194cd9680f4967f48bea89678f7ece21'}> -2024-10-30 06:05:17,452 - lightrag - INFO - _do_upsert:query: - MERGE (n:`THE FOUNDATION`) - SET n += $properties - RETURN n - :result:{'entity_type': '"ORGANIZATION"', 'description': '"The Foundation, also known as the Project Gutenberg Literary Archive Foundation, owns the compilation copyright in the collection of Project Gutenberg electronic works.""The Foundation, also known as the Project Gutenberg Literary Archive Foundation, owns the compilation copyright in the collection of Project Gutenberg electronic works.""The Foundation, also known as the Project Gutenberg Literary Archive Foundation, owns the compilation copyright in the collection of Project Gutenberg electronic works.""The Foundation, also known as the Project Gutenberg Literary Archive Foundation, owns the compilation copyright in the collection of Project Gutenberg electronic works.""The Foundation, referred to as the Project Gutenberg Literary Archive Foundation, owns the compilation copyright of Project Gutenberg\'s collection."', 'source_id': 'chunk-194cd9680f4967f48bea89678f7ece21'} -2024-10-30 06:05:17,585 - lightrag - INFO - get_node:query:MATCH (n:`TRANSCRIBER'S NOTE`) RETURN n:result:"The Transcriber\'s note indicates additional information provided by the transcriber of the Project Gutenberg eBook.""The Transcriber\'s note indicates additional information provided by the transcriber of the Project Gutenberg eBook.""Transcriber\'s Note refers to the added content by the transcriber, indicating additional information or context regarding the work."', 'source_id': 'chunk-194cd9680f4967f48bea89678f7ece21'}> -2024-10-30 06:05:17,729 - lightrag - INFO - _do_upsert:query: - MERGE (n:`TRANSCRIBER'S NOTE`) - SET n += $properties - RETURN n - :result:{'entity_type': '"EVENT"', 'description': '"The Transcriber\'s note indicates additional information provided by the transcriber of the Project Gutenberg eBook.""The Transcriber\'s note indicates additional information provided by the transcriber of the Project Gutenberg eBook.""The Transcriber\'s note indicates additional information provided by the transcriber of the Project Gutenberg eBook.""The Transcriber\'s note indicates additional information provided by the transcriber of the Project Gutenberg eBook.""Transcriber\'s Note refers to the added content by the transcriber, indicating additional information or context regarding the work."', 'source_id': 'chunk-194cd9680f4967f48bea89678f7ece21'} -2024-10-30 06:05:17,860 - lightrag - INFO - get_node:query:MATCH (n:`UNITED STATES COPYRIGHT`) RETURN n:result: -2024-10-30 06:05:17,994 - lightrag - INFO - _do_upsert:query: - MERGE (n:`UNITED STATES COPYRIGHT`) - SET n += $properties - RETURN n - :result:{'entity_type': '"CONCEPT"', 'description': '"United States copyright refers to the laws governing the protection of intellectual property, which influence the distribution of works within the U.S."', 'source_id': 'chunk-194cd9680f4967f48bea89678f7ece21'} -2024-10-30 06:05:18,123 - lightrag - INFO - get_node:query:MATCH (n:`GENERAL TERMS OF USE`) RETURN n:result:"The General Terms of Use outlines regulations for using and distributing Project Gutenberg works.""The General Terms of Use outlines regulations for using and distributing Project Gutenberg works.""The General Terms of Use outlines regulations for using and distributing Project Gutenberg works."', 'source_id': 'chunk-194cd9680f4967f48bea89678f7ece21'}> -2024-10-30 06:05:18,258 - lightrag - INFO - _do_upsert:query: - MERGE (n:`GENERAL TERMS OF USE`) - SET n += $properties - RETURN n - :result:{'entity_type': '"CONCEPT"', 'description': '"General Terms of Use details the overall framework and guidelines for using Project Gutenberg\'s works and services.""The General Terms of Use outlines regulations for using and distributing Project Gutenberg works.""The General Terms of Use outlines regulations for using and distributing Project Gutenberg works.""The General Terms of Use outlines regulations for using and distributing Project Gutenberg works.""The General Terms of Use outlines regulations for using and distributing Project Gutenberg works."', 'source_id': 'chunk-194cd9680f4967f48bea89678f7ece21'} -2024-10-30 06:05:18,392 - lightrag - INFO - get_node:query:MATCH (n:`ELECTRONIC WORKS`) RETURN n:result: -2024-10-30 06:05:18,528 - lightrag - INFO - _do_upsert:query: - MERGE (n:`ELECTRONIC WORKS`) - SET n += $properties - RETURN n - :result:{'entity_type': '"CONCEPT"', 'description': '"Electronic works refer to digital versions of literary texts that can be freely accessed and shared without restriction."', 'source_id': 'chunk-194cd9680f4967f48bea89678f7ece21'} -2024-10-30 06:05:18,656 - lightrag - INFO - get_node:query:MATCH (n:`TRADEMARK LICENSE`) RETURN n:result:"The trademark license governs the usage of the Project Gutenberg trademark, ensuring its protection during distribution.""The trademark license governs the usage of the Project Gutenberg trademark, ensuring its protection during distribution.""Trademark license describes the regulations for using the Project Gutenberg trademark and ensures its protection in distributions."', 'source_id': 'chunk-194cd9680f4967f48bea89678f7ece21'}> -2024-10-30 06:05:18,790 - lightrag - INFO - _do_upsert:query: - MERGE (n:`TRADEMARK LICENSE`) - SET n += $properties - RETURN n - :result:{'entity_type': '"CONCEPT"', 'description': '"The trademark license governs the usage of the Project Gutenberg trademark, ensuring its protection during distribution.""The trademark license governs the usage of the Project Gutenberg trademark, ensuring its protection during distribution.""The trademark license governs the usage of the Project Gutenberg trademark, ensuring its protection during distribution.""The trademark license governs the usage of the Project Gutenberg trademark, ensuring its protection during distribution.""Trademark license describes the regulations for using the Project Gutenberg trademark and ensures its protection in distributions."', 'source_id': 'chunk-194cd9680f4967f48bea89678f7ece21'} -2024-10-30 06:05:18,919 - lightrag - INFO - get_node:query:MATCH (n:`COPYRIGHT ROYALTIES`) RETURN n:result: -2024-10-30 06:05:19,054 - lightrag - INFO - _do_upsert:query: - MERGE (n:`COPYRIGHT ROYALTIES`) - SET n += $properties - RETURN n - :result:{'entity_type': '"CONCEPT"', 'description': '"Copyright royalties refer to the fees owed for the use of copyrighted material, which generally do not apply to works in the public domain."', 'source_id': 'chunk-194cd9680f4967f48bea89678f7ece21'} -2024-10-30 06:05:19,181 - lightrag - INFO - get_node:query:MATCH (n:`DERIVATIVE WORKS`) RETURN n:result:"Derivative works are adaptations or modifications of original works that may be created and shared under specific conditions.""Derivative works are adaptations or modifications of original works that may be created and shared under specific conditions.""Derivative works refer to adaptations or creations based on original texts, allowed under certain conditions set by Project Gutenberg."', 'source_id': 'chunk-194cd9680f4967f48bea89678f7ece21'}> -2024-10-30 06:05:19,315 - lightrag - INFO - _do_upsert:query: - MERGE (n:`DERIVATIVE WORKS`) - SET n += $properties - RETURN n - :result:{'entity_type': '"CONCEPT"', 'description': '"Derivative works are adaptations or modifications of original works that may be created and shared under specific conditions.""Derivative works are adaptations or modifications of original works that may be created and shared under specific conditions.""Derivative works are adaptations or modifications of original works that may be created and shared under specific conditions.""Derivative works are adaptations or modifications of original works that may be created and shared under specific conditions.""Derivative works refer to adaptations or creations based on original texts, allowed under certain conditions set by Project Gutenberg."', 'source_id': 'chunk-194cd9680f4967f48bea89678f7ece21'} -2024-10-30 06:05:19,444 - lightrag - INFO - get_node:query:MATCH (n:`NON-COPYRIGHTED WORKS`) RETURN n:result: -2024-10-30 06:05:19,585 - lightrag - 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Hart is the originator of the Project Gutenberg concept, having produced and distributed eBooks for forty years.""Michael S. Hart is the originator of the Project Gutenberg concept, having produced and distributed eBooks for forty years.""Michael S. Hart is the originator of the Project Gutenberg concept, having produced and distributed eBooks for forty years."', 'source_id': 'chunk-85f77f5e3a9aba01133555a2d20e2fd8'} -2024-10-30 06:05:25,831 - lightrag - INFO - get_node:query:MATCH (n:`U.S. INTERNAL REVENUE SERVICE`) RETURN n:result: -2024-10-30 06:05:25,964 - lightrag - INFO - _do_upsert:query: - MERGE (n:`U.S. INTERNAL REVENUE SERVICE`) - SET n += $properties - RETURN n - :result:{'entity_type': '"ORGANIZATION"', 'description': '"The U.S. Internal Revenue Service is the government agency granting tax-exempt status to the Foundation."', 'source_id': 'chunk-85f77f5e3a9aba01133555a2d20e2fd8'} -2024-10-30 06:05:26,092 - lightrag - INFO - get_node:query:MATCH (n:`DONATIONS`) RETURN n:result:"Donations represent the financial support provided to the Project Gutenberg Literary Archive Foundation, essential for carrying out its mission.""Donations refer to the contributions made to the Project Gutenberg Literary Archive Foundation which are essential for its operation and maintaining tax-exempt status.""Donations refer to the contributions made to the Project Gutenberg Literary Archive Foundation which are essential for its operation and maintaining tax-exempt status.""Donations refer to the contributions made to the Project Gutenberg Literary Archive Foundation which are essential for its operation and maintaining tax-exempt status."', 'source_id': 'chunk-c51b3dc560b408cce12cdfe5c9c94f57chunk-85f77f5e3a9aba01133555a2d20e2fd8'}> -2024-10-30 06:05:26,223 - 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lightrag - INFO - get_node:query:MATCH (n:`U.S. FEDERAL LAWS`) RETURN n:result:"U.S. federal laws govern the tax treatment of contributions made to the Project Gutenberg Literary Archive Foundation and those involved in charitable activities.""U.S. federal laws govern the tax treatment of contributions made to the Project Gutenberg Literary Archive Foundation and those involved in charitable activities.""U.S. federal laws set the framework and conditions under which non-profit organizations like the Project Gutenberg Literary Archive Foundation operate and maintain tax-exempt status."', 'source_id': 'chunk-85f77f5e3a9aba01133555a2d20e2fd8'}> -2024-10-30 06:05:27,289 - lightrag - INFO - _do_upsert:query: - MERGE (n:`U.S. FEDERAL LAWS`) - SET n += $properties - RETURN n - :result:{'entity_type': '"GEO"', 'description': '"U.S. federal laws govern the tax treatment of contributions made to the Project Gutenberg Literary Archive Foundation and those involved in charitable activities.""U.S. federal laws govern the tax treatment of contributions made to the Project Gutenberg Literary Archive Foundation and those involved in charitable activities.""U.S. federal laws govern the tax treatment of contributions made to the Project Gutenberg Literary Archive Foundation and those involved in charitable activities.""U.S. federal laws govern the tax treatment of contributions made to the Project Gutenberg Literary Archive Foundation and those involved in charitable activities.""U.S. federal laws set the framework and conditions under which non-profit organizations like the Project Gutenberg Literary Archive Foundation operate and maintain tax-exempt status."', 'source_id': 'chunk-85f77f5e3a9aba01133555a2d20e2fd8'} -2024-10-30 06:05:27,421 - lightrag - INFO - get_node:query:MATCH (n:`WEBSITE`) RETURN n:result:"The Project Gutenberg website serves as a hosting platform for eBooks, donation methods, and information regarding the Foundation\'s activities.""The Project Gutenberg website serves as a hosting platform for eBooks, donation methods, and information regarding the Foundation\'s activities.""The Project Gutenberg website serves as the central platform for accessing eBooks, making donations, and providing information about the Foundation."', 'source_id': 'chunk-85f77f5e3a9aba01133555a2d20e2fd8'}> -2024-10-30 06:05:27,557 - lightrag - INFO - _do_upsert:query: - MERGE (n:`WEBSITE`) - SET n += $properties - RETURN n - :result:{'entity_type': '"ORGANIZATION"', 'description': '"The Project Gutenberg website serves as a hosting platform for eBooks, donation methods, and information regarding the Foundation\'s activities.""The Project Gutenberg website serves as a hosting platform for eBooks, donation methods, and information regarding the Foundation\'s activities.""The Project Gutenberg website serves as a hosting platform for eBooks, donation methods, and information regarding the Foundation\'s activities.""The Project Gutenberg website serves as a hosting platform for eBooks, donation methods, and information regarding the Foundation\'s activities.""The Project Gutenberg website serves as the central platform for accessing eBooks, making donations, and providing information about the Foundation."', 'source_id': 'chunk-85f77f5e3a9aba01133555a2d20e2fd8'} -2024-10-30 06:05:27,691 - 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get_node:query:MATCH (n:`PUBLIC DOMAIN`) RETURN n:result: -2024-10-30 06:05:28,347 - lightrag - INFO - _do_upsert:query: - MERGE (n:`PUBLIC DOMAIN`) - SET n += $properties - RETURN n - :result:{'entity_type': '"CONCEPT"', 'description': '"Public Domain refers to works that are available for free use without copyright restrictions, a key focus of Project Gutenberg\'s mission to distribute such materials."', 'source_id': 'chunk-85f77f5e3a9aba01133555a2d20e2fd8'} -2024-10-30 06:05:30,956 - lightrag - INFO - _do_upsert:query: - MERGE (n:`PETER CRATCHIT`) - SET n += $properties - RETURN n - :result:{'entity_type': '"PERSON"', 'description': "Peter Cratchit is the eldest son of Bob and Mrs. Cratchit, characterized by his youthful innocence and enthusiasm. He actively participates in the festive meal preparation, expressing excitement about dressing up and contributing to the family's Christmas celebration. As a member of the Cratchit family, Peter embodies the joy and unity of the household, particularly highlighted during their interactions surrounding Tiny Tim, his ailing younger brother. Additionally, Peter is portrayed as contemplative regarding his future, considering a potential job opportunity. This combination of excitement for the present and reflection on the future underscores his dynamic role within the family, illustrating the themes of hope and resilience amidst their challenges.", 'source_id': 'chunk-7e2e7ebcc19a53b399dc03aded4743e7chunk-b0f459f5af1c3a5e0b92cbe4ee48b77bchunk-19d72c57ae3408758b18d2568e86dc6bchunk-91572b3cd42786ba4cb2f180ca25cbf4'} -2024-10-30 06:05:31,137 - lightrag - INFO - _do_upsert:query: - MERGE (n:`THE CHILDREN`) - SET n += $properties - RETURN n - :result:{'entity_type': '"PERSON"', 'description': "The Children are a lively and joyful group experiencing wonder and delight, especially during the gift-giving scenes of the Christmas festivities. They embody innocence and joy, highlighting the untainted happiness of childhood, a happiness that Ebenezer Scrooge longs to reconnect with. Among them are the offspring of the Cratchit family, who, despite the struggles their family faces, react with laughter and cheer during the Christmas celebrations. The Children symbolize familial warmth and chaotic joy in various settings, including the matron's home and their own family's environment, showcasing their carefree nature and the profound effects of their circumstances on their happiness. Overall, they represent the pure and curious essence of childhood, serving as a reminder of the happiness that can persist even amidst adversity.", 'source_id': 'chunk-da2472b4ef2a535b62908f14d0fb0ca9chunk-54bdd22db1f84a965b5f4c06c9216d8dchunk-83ac129dc9b56f84c46760d153d68e93chunk-19d72c57ae3408758b18d2568e86dc6bchunk-c6c248858d1b13ab7ee9ca13c1aeed6b'} -2024-10-30 06:05:31,523 - lightrag - INFO - _do_upsert:query: - MERGE (n:`SCROOGE'S NEPHEW`) - SET n += $properties - RETURN n - :result:{'entity_type': '"PERSON"', 'description': "Scrooge's Nephew is a cheerful and optimistic character who embodies the spirit of Christmas, consistently challenging his uncle Scrooge's gloomy outlook on both Christmas and life. He is characterized by his contagious laughter and good humor, starkly contrasting with Scrooge's miserliness and pessimism. This jovial character actively participates in family gatherings, engaging in games and displaying a joyful demeanor. He finds humor in Scrooge's ill temper and wealth, often emphasizing the positive qualities of Christmas despite his uncle's negativity. Warm-hearted and determined, Scrooge's Nephew makes repeated attempts to involve Scrooge in the festive spirit, even in the face of his uncle's rebuffs. Overall, he represents a vibrant spirit of joy and laughter, serving as a lively counterpoint to Scrooge's initial persona.", 'source_id': 'chunk-91614df5cb74cbe5e109a338a82041e9chunk-74e2466de2f67fd710ef2f20c0a8d9e0chunk-5dac41b3f9eeaf794f0147400b1718cdchunk-43c9bee23adfa77aa9dedd22401bba7dchunk-773d0df1dd25c356f7b771d780583e09'} -2024-10-30 06:05:32,997 - lightrag - INFO - _do_upsert:query: - MERGE (n:`PROJECT GUTENBERG`) - SET n += $properties - RETURN n - :result:{'entity_type': '"ORGANIZATION"', 'description': 'Project Gutenberg is a digital library and organization dedicated to the free distribution of electronic works, particularly eBooks that are not protected by U.S. copyright law. It offers access to a vast array of literature, allowing for worldwide distribution under specific conditions. The organization aims to promote accessibility to literature without restrictions, providing eBooks in various formats to users globally.\n\nProject Gutenberg relies on the support of volunteers and donations to maintain its extensive collection, which serves the purpose of preserving cultural heritage through public domain literature. Additionally, the organization holds a compilation copyright for its collection, ensuring that its offerings are both legally sound and accessible to the public.\n\nIn essence, Project Gutenberg is committed to making literature freely available to everyone, championing the cause of open access to knowledge and cultural works.', 'source_id': 'chunk-194cd9680f4967f48bea89678f7ece21chunk-c51b3dc560b408cce12cdfe5c9c94f57chunk-9e3921da66da5d761ab73cd849af6c43chunk-af4ae173c561e4594c5aea96198cce9d'} -2024-10-30 06:05:34,045 - lightrag - INFO - _do_upsert:query: - MERGE (n:`MRS. CRATCHIT`) - SET n += $properties - RETURN n - :result:{'entity_type': '"PERSON"', 'description': "Mrs. Cratchit is Bob Cratchit's devoted and hardworking wife, who plays a vital role in nurturing their family. She is characterized by her strong dedication to creating a joyous atmosphere in their home, despite the financial difficulties they face. As the mother of the Cratchit family, Mrs. Cratchit is nurturing and energetic, diligently managing Christmas preparations and ensuring that her children are well taken care of.\n\nProud of her cooking skills, particularly her Christmas pudding, Mrs. Cratchit showcases her commitment to family traditions. During the holiday festivities, she is actively involved, embodying warmth and resilience as she prepares meals and engages in celebrations that lift her family’s spirits. Her love for her family is evident as she expresses concern for her children, especially Tiny Tim, whose health brings emotional depth to their Christmas gathering.\n\nWhile she is portrayed as outspoken and harboring resentment towards Scrooge, she ultimately puts aside her feelings to fully participate in the Christmas festivities for the sake of her family. Her character embodies a blend of strength and vulnerability, reflecting both her pride and her struggles, and she remains a pivotal figure in the family's emotional dynamics during the holiday season.", 'source_id': 'chunk-1d4b58de5429cd1261370c231c8673e8chunk-7e2e7ebcc19a53b399dc03aded4743e7chunk-503f0bfa5453467c7c61d160a3540ecachunk-19d72c57ae3408758b18d2568e86dc6bchunk-9e3921da66da5d761ab73cd849af6c43chunk-b0f459f5af1c3a5e0b92cbe4ee48b77bchunk-91572b3cd42786ba4cb2f180ca25cbf4'} -2024-10-30 06:05:34,222 - lightrag - INFO - _do_upsert:query: - MERGE (n:`CHRISTMAS`) - SET n += $properties - RETURN n - :result:{'entity_type': '"EVENT"', 'description': 'Christmas is a significant and festive season that embodies themes of joy, love, generosity, and community, playing a crucial role in the narrative, particularly through the experiences of the Cratchit family and Ebenezer Scrooge. It is depicted as a time for family togetherness, celebration, and emotional reflection. For the Cratchit family, Christmas is a period marked by warmth, gratitude, and merriment, creating cherished memories despite their modest circumstances.\n\nIn contrast, Scrooge initially approaches Christmas with cynicism, referring to it dismissively as a "humbug" and rejecting the joy and goodwill that the season represents. His cold demeanor and disdain starkly oppose the spirit of generosity and community that permeates the holiday. The narrative emphasizes Christmas as a time of celebration and change, showcasing social responsibility and the importance of emotional connections within a community.\n\nChristmas serves as the backdrop for Scrooge\'s transformation, compelling him to confront his neglected relationships and past choices, which is integral to his character development. It is also associated with his Nephew, who passionately advocates for the holiday, further highlighting the contrast with Scrooge\'s cynical views.\n\nAs the story progresses, Christmas symbolizes redemption and change for Scrooge, who ultimately embraces the holiday\'s spirit of goodwill and abandons his bitterness. The festive occasion emerges as a pivotal element that reinforces exploration of redemption, generosity, and the transformative power of love and community. Joyful scenes of people celebrating, dancing, and engaging in festive activities sharply contrast with Scrooge\'s earlier solitude and disdain, underscoring the profound influence of Christmas on the thoughts and behaviors of all characters involved.', 'source_id': 'chunk-90d5764e301321c087f5a8f78b73a145chunk-5dac41b3f9eeaf794f0147400b1718cdchunk-8f738cb25d60a7dab782162d9d0a25edchunk-89777b838d5447c7bd1ec11282c4ee89chunk-8590d9263cd2cd4fa583c432fc54e6c3chunk-94bea83e7153fc2064aa382b494936a1chunk-91614df5cb74cbe5e109a338a82041e9chunk-43c9bee23adfa77aa9dedd22401bba7dchunk-773d0df1dd25c356f7b771d780583e09chunk-e7637ff18c5ded77a68cce0a87883fadchunk-da2472b4ef2a535b62908f14d0fb0ca9chunk-54bdd22db1f84a965b5f4c06c9216d8dchunk-74e2466de2f67fd710ef2f20c0a8d9e0chunk-99b0ec7f7e006561352b5d65e849611dchunk-1d4b58de5429cd1261370c231c8673e8chunk-91572b3cd42786ba4cb2f180ca25cbf4chunk-c6c248858d1b13ab7ee9ca13c1aeed6bchunk-503f0bfa5453467c7c61d160a3540ecachunk-02baee20cc9463dbe08170a8e1043e32'} -2024-10-30 06:05:34,543 - lightrag - INFO - _do_upsert:query: - MERGE (n:`JACOB MARLEY`) - SET n += $properties - RETURN n - :result:{'entity_type': '"PERSON"', 'description': "Jacob Marley is Scrooge's deceased business partner, who appears as a ghost, prominently wearing chains that symbolize the burdens of his past misdeeds and the weight of his regrets. As a spirit, Marley plays a pivotal role in influencing Ebenezer Scrooge's journey toward redemption. He visits Scrooge to convey significant messages about the dire consequences of a life devoid of compassion and the critical importance of charity and kindness.\n\nMarley's haunting presence serves as a warning to Scrooge about his impending fate if he continues on his selfish and isolated path. He is depicted as showing genuine concern for Scrooge's welfare and the necessity for transformative change in his life. Through his visitation, Marley acts as a catalyst, compelling Scrooge to reflect on his past actions and their impact on others. His connection to Scrooge's history reinforces the themes of redemption and personal responsibility, emphasizing the potential for transformation and renewal in the face of prior wrongdoings. Ultimately, Jacob Marley's spirit not only acts as a reminder of the consequences of one's choices but also highlights the possibility of change and growth through self-awareness and connection to humanity.", 'source_id': 'chunk-1aa50206d02ed89418f65f97c6441d1cchunk-cb661c37436355ccec2769b1d0350c5fchunk-da2472b4ef2a535b62908f14d0fb0ca9chunk-90b95db5c53e4364a6bee36b7aa4d70fchunk-359187e7571bda4b0b08b2e0b6581e52chunk-02baee20cc9463dbe08170a8e1043e32chunk-91572b3cd42786ba4cb2f180ca25cbf4'} -2024-10-30 06:05:34,720 - lightrag - INFO - _do_upsert:query: - MERGE (n:`SPIRIT`) - SET n += $properties - RETURN n - :result:{'entity_type': '"EVENT"', 'description': 'The "Spirit" represents a multifaceted supernatural entity that plays a crucial role in guiding Ebenezer Scrooge through profound reflections on his life, death, and human emotions. Central to the narrative is the Spirit\'s embodiment of the essence of Marley, which interacts with Scrooge to highlight themes related to the afterlife and unresolved issues. The Spirit manifests as various figures, most notably the Ghost of Christmas Present, who personifies the themes of generosity, merriment, and the true spirit of the Christmas season.\n\nThroughout Scrooge\'s journey, the Spirit serves as a guide, leading him through memories of his past, reflecting his former self and the influence of time on his character. The entity illustrates important lessons about compassion, social responsibility, and the consequences of his actions, urging Scrooge to confront societal issues and fostering self-awareness.\n\nThe Spirit also emphasizes the somber aspects of life, illustrating lessons about mortality and the inevitability of death, prompting Scrooge to reflect on the implications of his life choices. Overall, the Spirit encapsulates the intersection of compassion, humanity, and the moral lessons inherent in the experience of life, serving as a catalyst for Scrooge\'s transformation and awakening.', 'source_id': 'chunk-1aa50206d02ed89418f65f97c6441d1cchunk-e7637ff18c5ded77a68cce0a87883fadchunk-843b5b2f944c7413d9ca876e2e2f151fchunk-83ac129dc9b56f84c46760d153d68e93chunk-02baee20cc9463dbe08170a8e1043e32chunk-bb21d58d36c6306fd8810ddd51c4a971'} -2024-10-30 06:05:34,912 - lightrag - INFO - _do_upsert:query: - MERGE (n:`THE GHOST`) - SET n += $properties - RETURN n - :result:{'entity_type': '"EVENT"', 'description': "The Ghost is a crucial supernatural being in the narrative of Ebenezer Scrooge, playing a significant role in his transformative journey. Described as a strange figure that embodies qualities of both a child and an old man, The Ghost represents supernatural intervention in Scrooge's life and serves as a catalyst for self-reflection and moral realization. This spectral manifestation is identified as the apparition of Jacob Marley, who instills a sense of dread in Scrooge while delivering an important message about the repercussions of his actions and the necessity for change.\n\nThroughout their encounters, The Ghost guides Scrooge by revealing various scenes from his past, which evoke poignant emotions and highlight the joys of family and the significance of Christmas. It emphasizes key themes of redemption, kindness, and the emotional consequences of one's actions, urging Scrooge to confront his past and reconsider his life choices. This guidance underscores the importance of human virtue and the need for compassion towards others.\n\nUltimately, The Ghost acts as a guiding presence that influences Scrooge's emotional state and facilitates his journey toward redemption. By facing his past and opening himself to the lessons imparted by The Ghost, Scrooge begins to understand the value of kindness and the severe consequences of neglecting these moral principles throughout his life. In summary, The Ghost is a vital figure in Scrooge's transformation, encapsulating the overarching themes of change, redemption, and moral lessons.", 'source_id': 'chunk-9c43dac2fcd5b578242d907ea6f8fc7bchunk-cb661c37436355ccec2769b1d0350c5fchunk-8590d9263cd2cd4fa583c432fc54e6c3chunk-1aa50206d02ed89418f65f97c6441d1cchunk-e7637ff18c5ded77a68cce0a87883fadchunk-da2472b4ef2a535b62908f14d0fb0ca9chunk-54bdd22db1f84a965b5f4c06c9216d8dchunk-83ac129dc9b56f84c46760d153d68e93chunk-c7b10789a9cb0af6c553730b29bd9034chunk-359187e7571bda4b0b08b2e0b6581e52chunk-02baee20cc9463dbe08170a8e1043e32chunk-43c9bee23adfa77aa9dedd22401bba7dchunk-c6c248858d1b13ab7ee9ca13c1aeed6b'} -2024-10-30 06:05:35,093 - lightrag - INFO - _do_upsert:query: - MERGE (n:`SCROOGE`) - SET n += $properties - RETURN n - :result:{'entity_type': '"PERSON"', 'description': 'Scrooge is a central character in the narrative, initially depicted as a miserly, cold-hearted individual characterized by greed and a disdain for Christmas. Often referred to negatively as the "Ogre of the family" or a "tight-fisted old man," Scrooge exemplifies a lack of compassion for others and a reluctance to engage in charitable acts, reflecting his solitary nature and indifference to the festive spirit.\n\nThe turning point in Scrooge\'s journey occurs with a haunting visit from the ghost of his former business partner, Jacob Marley. This encounter serves as a warning of the dire consequences of his actions and sets off a series of supernatural visits from three spirits, which guide Scrooge through his past, present, and future. During these encounters, Scrooge experiences horror, agitation, and regret, particularly as he grapples with the implications of his miserliness and recalls lonely moments from his childhood.\n\nThrough his interactions with the spirits, Scrooge witnesses both joy and sorrow, becoming especially affected by the plight of the Cratchit family and Tiny Tim. These reflections ignite feelings of grief and a longing for connection, prompting him to recognize his mortality and the far-reaching impact of his life choices on those around him. This emotional struggle fosters a conflict between Scrooge\'s prior skepticism about the supernatural and a developing capacity for empathy.\n\nUltimately, by the conclusion of the story, Scrooge undergoes a profound transformation. Emerging from his encounters with a newfound sense of joy and commitment to kindness, he fully embraces the spirit of Christmas and strives to positively influence the lives of those around him, particularly his employee Bob Cratchit and his family. Scrooge\'s evolution from a grumpy, indifferent man to one filled with goodwill encapsulates the narrative\'s themes of redemption, compassion, and community, demonstrating that change is not only possible, but that love and generosity can triumph over isolation and greed.', 'source_id': 'chunk-1aa50206d02ed89418f65f97c6441d1cchunk-90d5764e301321c087f5a8f78b73a145chunk-90b95db5c53e4364a6bee36b7aa4d70fchunk-5dac41b3f9eeaf794f0147400b1718cdchunk-d9aac3484185ac66045df92214d245d5chunk-359187e7571bda4b0b08b2e0b6581e52chunk-8f738cb25d60a7dab782162d9d0a25edchunk-89777b838d5447c7bd1ec11282c4ee89chunk-b2f98bc7abb0c67d4c86055c7fd72218chunk-cb661c37436355ccec2769b1d0350c5fchunk-8590d9263cd2cd4fa583c432fc54e6c3chunk-94bea83e7153fc2064aa382b494936a1chunk-83ac129dc9b56f84c46760d153d68e93chunk-91614df5cb74cbe5e109a338a82041e9chunk-19d72c57ae3408758b18d2568e86dc6bchunk-c7b10789a9cb0af6c553730b29bd9034chunk-bb21d58d36c6306fd8810ddd51c4a971chunk-43c9bee23adfa77aa9dedd22401bba7dchunk-f1a4fbcf1ed86864b9bfd5e8dba4c683chunk-773d0df1dd25c356f7b771d780583e09chunk-e7637ff18c5ded77a68cce0a87883fadchunk-da2472b4ef2a535b62908f14d0fb0ca9chunk-54bdd22db1f84a965b5f4c06c9216d8dchunk-74e2466de2f67fd710ef2f20c0a8d9e0chunk-99b0ec7f7e006561352b5d65e849611dchunk-91572b3cd42786ba4cb2f180ca25cbf4chunk-c6c248858d1b13ab7ee9ca13c1aeed6bchunk-9c43dac2fcd5b578242d907ea6f8fc7bchunk-843b5b2f944c7413d9ca876e2e2f151fchunk-e1f29eeadc1d8ab46dc8a0bbd3c56b64chunk-503f0bfa5453467c7c61d160a3540ecachunk-02baee20cc9463dbe08170a8e1043e32chunk-b0f459f5af1c3a5e0b92cbe4ee48b77b'} -2024-10-30 06:05:35,265 - lightrag - INFO - _do_upsert:query: - MERGE (n:`BOB CRATCHIT`) - SET n += $properties - RETURN n - :result:{'entity_type': '"PERSON"', 'description': 'Bob Cratchit is a significant character in Charles Dickens\' "A Christmas Carol," serving as Ebenezer Scrooge\'s dedicated clerk. He is depicted as a struggling yet loving family man who embodies the challenges faced by the working class, highlighting the importance of family in the narrative. Despite enduring low wages, Cratchit demonstrates warmth and joy during the Christmas season, striving to maintain a positive atmosphere at home amidst financial hardships.\n\nAs the father of Tiny Tim and head of the Cratchit family, Bob exemplifies deep familial love and concern. He is characterized by his kindness and emotional depth, caring for his children and expressing affection for them, particularly during family celebrations. His happiness during the festive season underscores his duty as a father and husband, showcasing his resilience in the face of adversity.\n\nCratchit’s late arrival to work after Christmas illustrates his anxiety about Scrooge, which contrasts with the newfound generosity Scrooge begins to show him. This contrast further emphasizes Cratchit\'s positive demeanor, which remains unwavering despite his struggles. The warmth of the Cratchit household, particularly during their Christmas dinner, sharply contrasts with Scrooge\'s initial miserly attitude, highlighting the spirit of joy that Cratchit embodies.\n\nOverall, Bob Cratchit is not only a devoted father and husband but also a poignant symbol of resilience, hope, and the profound significance of family within the narrative, making him a compelling and heartwarming figure in "A Christmas Carol."', 'source_id': 'chunk-1d4b58de5429cd1261370c231c8673e8chunk-94bea83e7153fc2064aa382b494936a1chunk-90b95db5c53e4364a6bee36b7aa4d70fchunk-83ac129dc9b56f84c46760d153d68e93chunk-7e2e7ebcc19a53b399dc03aded4743e7chunk-503f0bfa5453467c7c61d160a3540ecachunk-19d72c57ae3408758b18d2568e86dc6bchunk-9e3921da66da5d761ab73cd849af6c43chunk-d9aac3484185ac66045df92214d245d5chunk-b0f459f5af1c3a5e0b92cbe4ee48b77bchunk-91572b3cd42786ba4cb2f180ca25cbf4'} -2024-10-30 06:05:35,696 - lightrag - INFO - _do_upsert:query: - MERGE (n:`TINY TIM`) - SET n += $properties - RETURN n - :result:{'entity_type': '"PERSON"', 'description': 'Tiny Tim, whose real name is Tim Cratchit, is a poignant character in Charles Dickens\' "A Christmas Carol." He is depicted as the youngest son of Bob Cratchit and symbolizes hope, innocence, and resilience amidst the hardships faced by the Cratchit family, who struggle with poverty and illness. Tiny Tim is characterized by his frail health and is described as a cripple; despite this, he possesses a joyful spirit and maintains an optimistic outlook, serving as a source of joy for those around him.\n\nTiny Tim\'s well-being is central to the emotional landscape of the Cratchit family, representing their hopes for a better future and the love that bonds them together. His presence reminds others of the challenges posed by illness and poverty, evoking compassion, particularly from Ebenezer Scrooge, who transforms from a miser into a more generous figure through his reflections on Tiny Tim\'s situation.\n\nThe character is often referenced by Scrooge and serves as a symbol of innocence and the spirit of Christmas. Tiny Tim participates in festive celebrations, such as the Christmas toast, displaying his ability to embody the true essence of the holiday season despite his family\'s struggles. Cherished by his father, Bob Cratchit, and his family, Tiny Tim reinforces the narrative\'s themes of family, generosity, and the transformative power of kindness.\n\nUltimately, Tiny Tim leaves a lasting impression on both the characters within the story and the readers, encapsulating the themes of hope and renewal that resonate throughout "A Christmas Carol." His legacy is not only of innocence and vulnerability but also of the indomitable spirit that inspires hope in times of adversity.', 'source_id': 'chunk-94bea83e7153fc2064aa382b494936a1chunk-90b95db5c53e4364a6bee36b7aa4d70fchunk-83ac129dc9b56f84c46760d153d68e93chunk-7e2e7ebcc19a53b399dc03aded4743e7chunk-19d72c57ae3408758b18d2568e86dc6bchunk-503f0bfa5453467c7c61d160a3540ecachunk-9e3921da66da5d761ab73cd849af6c43chunk-8f738cb25d60a7dab782162d9d0a25edchunk-1d4b58de5429cd1261370c231c8673e8chunk-91572b3cd42786ba4cb2f180ca25cbf4'} -2024-10-30 06:05:35,891 - lightrag - INFO - _check_edge_existence:query:MATCH (a:`A CHRISTMAS CAROL`)-[r]-(b:`PROJECT GUTENBERG`) RETURN COUNT(r) > 0 AS edgeExists:result:True -2024-10-30 06:05:36,029 - lightrag - INFO - get_edge:query: - MATCH (source:`A CHRISTMAS CAROL`)-[r]-(target:`PROJECT GUTENBERG`) - RETURN r - :result:, ) type='DIRECTED' properties={'keywords': '"publication, accessibility"', 'description': '"A Christmas Carol is published and distributed freely through Project Gutenberg, making it accessible to a global audience."', 'weight': 9.0, 'source_id': 'chunk-9e3921da66da5d761ab73cd849af6c43'}> -2024-10-30 06:05:36,169 - lightrag - INFO - _check_edge_existence:query:MATCH (a:`A CHRISTMAS CAROL`)-[r]-(b:`CHARLES DICKENS`) RETURN COUNT(r) > 0 AS edgeExists:result:True -2024-10-30 06:05:36,302 - lightrag - INFO - get_edge:query: - MATCH (source:`A CHRISTMAS CAROL`)-[r]-(target:`CHARLES DICKENS`) - RETURN r - :result:, ) type='DIRECTED' properties={'keywords': '"author, literary impact"', 'description': '"Charles Dickens authored A Christmas Carol, which reflects his views on Victorian society and social issues."', 'weight': 10.0, 'source_id': 'chunk-9e3921da66da5d761ab73cd849af6c43'}> -2024-10-30 06:05:36,439 - lightrag - INFO - _check_edge_existence:query:MATCH (a:`A CHRISTMAS CAROL`)-[r]-(b:`ARTHUR RACKHAM`) RETURN COUNT(r) > 0 AS edgeExists:result:True -2024-10-30 06:05:36,582 - lightrag - INFO - get_edge:query: - MATCH (source:`A CHRISTMAS CAROL`)-[r]-(target:`ARTHUR RACKHAM`) - RETURN r - :result:, ) type='DIRECTED' properties={'keywords': '"illustration, artistic contribution"', 'description': '"Arthur Rackham illustrated A Christmas Carol, enhancing the visual experience of Dickens\' narrative."', 'weight': 8.0, 'source_id': 'chunk-9e3921da66da5d761ab73cd849af6c43'}> -2024-10-30 06:05:36,723 - lightrag - INFO - _check_edge_existence:query:MATCH (a:`BOB CRATCHIT`)-[r]-(b:`EBENEZER SCROOGE`) RETURN COUNT(r) > 0 AS edgeExists:result:True -2024-10-30 06:05:36,862 - lightrag - INFO - get_edge:query: - MATCH (source:`BOB CRATCHIT`)-[r]-(target:`EBENEZER SCROOGE`) - RETURN r - :result:, ) type='DIRECTED' properties={'keywords': '"workplace dynamics, social contrast"', 'description': '"Bob Cratchit works for Ebenezer Scrooge, embodying the struggles of the working class in contrast to Scrooge\'s miserliness."', 'weight': 7.0, 'source_id': 'chunk-9e3921da66da5d761ab73cd849af6c43'}> -2024-10-30 06:05:37,001 - lightrag - INFO - _check_edge_existence:query:MATCH (a:`BOB CRATCHIT`)-[r]-(b:`TINY TIM`) RETURN COUNT(r) > 0 AS edgeExists:result:True -2024-10-30 06:05:37,135 - lightrag - INFO - get_edge:query: - MATCH (source:`BOB CRATCHIT`)-[r]-(target:`TINY TIM`) - RETURN r - :result:, ) type='DIRECTED' properties={'keywords': '"family bond, care""family bond, love""family love, vulnerability""family, struggle""family, support""father-son bond, care"', 'description': '"Bob Cratchit deeply cares for Tiny Tim, demonstrating emotional support and love, especially in moments of distress.""Bob Cratchit expresses love and concern for his son Tiny Tim during the Christmas dinner, highlighting a strong familial bond.""Bob Cratchit is Tiny Tim\'s father, and the turkey Scrooge plans to send will impact Tiny Tim\'s well-being.""Bob Cratchit is Tiny Tim\'s father, and their relationship highlights the theme of family struggle and love, especially during Christmas.""Bob Cratchit shows deep care for Tiny Tim, helping him and expressing pride in his strength and character despite challenges.""Bob Cratchit\'s concern for Tiny Tim illustrates the deep familial love and the challenges facing the Cratchit family."', 'weight': 48.0, 'source_id': 'chunk-83ac129dc9b56f84c46760d153d68e93chunk-503f0bfa5453467c7c61d160a3540ecachunk-1d4b58de5429cd1261370c231c8673e8chunk-90b95db5c53e4364a6bee36b7aa4d70fchunk-94bea83e7153fc2064aa382b494936a1chunk-7e2e7ebcc19a53b399dc03aded4743e7'}> -2024-10-30 06:05:37,276 - lightrag - INFO - _check_edge_existence:query:MATCH (a:`EBENEZER SCROOGE`)-[r]-(b:`MR. FEZZIWIG`) RETURN COUNT(r) > 0 AS edgeExists:result:True -2024-10-30 06:05:37,408 - lightrag - INFO - get_edge:query: - MATCH (source:`EBENEZER SCROOGE`)-[r]-(target:`MR. FEZZIWIG`) - RETURN r - :result:, ) type='DIRECTED' properties={'keywords': '"contrast, influence"', 'description': '"Mr. Fezziwig represents a contrast to Ebenezer Scrooge\'s character, showing kindness and generosity in business."', 'weight': 7.0, 'source_id': 'chunk-9e3921da66da5d761ab73cd849af6c43'}> -2024-10-30 06:05:37,552 - lightrag - INFO - _check_edge_existence:query:MATCH (a:`GHOST OF CHRISTMAS PAST`)-[r]-(b:`SCROOGE`) RETURN COUNT(r) > 0 AS edgeExists:result:True -2024-10-30 06:05:37,685 - lightrag - INFO - get_edge:query: - MATCH (source:`GHOST OF CHRISTMAS PAST`)-[r]-(target:`SCROOGE`) - RETURN r - :result:, ) type='DIRECTED' properties={'keywords': '"reflection, past influence"', 'description': '"Scrooge engages with the Ghost of Christmas Past to explore his earlier life, seeking insight into his current state."', 'weight': 8.0, 'source_id': 'chunk-bb21d58d36c6306fd8810ddd51c4a971'}> -2024-10-30 06:05:37,824 - lightrag - INFO - _check_edge_existence:query:MATCH (a:`GHOST OF CHRISTMAS PRESENT`)-[r]-(b:`SCROOGE`) RETURN COUNT(r) > 0 AS edgeExists:result:True -2024-10-30 06:05:37,961 - lightrag - INFO - get_edge:query: - MATCH (source:`GHOST OF CHRISTMAS PRESENT`)-[r]-(target:`SCROOGE`) - RETURN r - :result:, ) type='DIRECTED' properties={'keywords': '"transformation, mentoring"', 'description': '"Scrooge is led by the Ghost of Christmas Present, who teaches him valuable lessons about generosity and compassion."', 'weight': 10.0, 'source_id': 'chunk-843b5b2f944c7413d9ca876e2e2f151f'}> -2024-10-30 06:05:38,100 - lightrag - INFO - _check_edge_existence:query:MATCH (a:`GHOST OF CHRISTMAS YET TO COME`)-[r]-(b:`SCROOGE`) RETURN COUNT(r) > 0 AS edgeExists:result:True -2024-10-30 06:05:38,240 - lightrag - INFO - get_edge:query: - MATCH (source:`GHOST OF CHRISTMAS YET TO COME`)-[r]-(target:`SCROOGE`) - RETURN r - :result:, ) type='DIRECTED' properties={'keywords': '"forewarning, change""future consequences, redemption"', 'description': '"The Ghost of Christmas Yet to Come presents a foreboding vision of Scrooge\'s future, driving home the need for personal change.""The Ghost shows Scrooge visions of the future, challenging him to change his ways to avoid a grim destiny."', 'weight': 19.0, 'source_id': 'chunk-02baee20cc9463dbe08170a8e1043e32chunk-9e3921da66da5d761ab73cd849af6c43'}> -2024-10-30 06:05:38,381 - lightrag - INFO - _check_edge_existence:query:MATCH (a:`FRED`)-[r]-(b:`SCROOGE`) RETURN COUNT(r) > 0 AS edgeExists:result:True -2024-10-30 06:05:38,516 - lightrag - INFO - get_edge:query: - MATCH (source:`FRED`)-[r]-(target:`SCROOGE`) - RETURN r - :result:, ) type='DIRECTED' properties={'keywords': '"family connection, goodwill""family connection, reconciliation""family, transformation""rejection, familial dynamics"', 'description': '"Scrooge and Fred share a familial bond, with Fred expressing goodwill and celebrating Scrooge despite his uncle\'s previous behavior.""Scrooge expresses a desire to visit Fred, which signifies a reconciliatory gesture toward his family.""Scrooge surprises Fred with his unexpected visit, indicating a shift in their familial relationship and Scrooge\'s attitude toward family.""Scrooge\'s interaction with Fred emphasizes his rejection of familial warmth during the Christmas season."', 'weight': 30.0, 'source_id': 'chunk-8f738cb25d60a7dab782162d9d0a25edchunk-94bea83e7153fc2064aa382b494936a1chunk-89777b838d5447c7bd1ec11282c4ee89chunk-e7637ff18c5ded77a68cce0a87883fad'}> -2024-10-30 06:05:38,655 - lightrag - INFO - _check_edge_existence:query:MATCH (a:`FRED`)-[r]-(b:`GHOST OF CHRISTMAS PRESENT`) RETURN COUNT(r) > 0 AS edgeExists:result:True -2024-10-30 06:05:38,794 - lightrag - INFO - get_edge:query: - MATCH (source:`FRED`)-[r]-(target:`GHOST OF CHRISTMAS PRESENT`) - RETURN r - :result:, ) type='DIRECTED' properties={'keywords': '"celebration, Christmas spirit"', 'description': '"Fred is celebrated by the Ghost of Christmas Present as a symbol of Christmas spirit, highlighting the contrast with Scrooge."', 'weight': 8.0, 'source_id': 'chunk-9e3921da66da5d761ab73cd849af6c43'}> -2024-10-30 06:05:38,937 - lightrag - INFO - _check_edge_existence:query:MATCH (a:`BOB CRATCHIT`)-[r]-(b:`MRS. CRATCHIT`) RETURN COUNT(r) > 0 AS edgeExists:result:True -2024-10-30 06:05:39,073 - lightrag - INFO - get_edge:query: - MATCH (source:`BOB CRATCHIT`)-[r]-(target:`MRS. CRATCHIT`) - RETURN r - :result:, ) type='DIRECTED' properties={'keywords': '"family unity, celebration""partnership, family unity"', 'description': '"Bob and Mrs. Cratchit represent a family working together to create a festive and warm environment despite their limited means.""Mrs. Cratchit supports Bob Cratchit in his parenting efforts and encourages the family’s unity during challenging times."', 'weight': 16.0, 'source_id': 'chunk-1d4b58de5429cd1261370c231c8673e8chunk-b0f459f5af1c3a5e0b92cbe4ee48b77b'}> -2024-10-30 06:05:39,215 - lightrag - INFO - _check_edge_existence:query:MATCH (a:`GHOST OF CHRISTMAS PRESENT`)-[r]-(b:`TINY TIM`) RETURN COUNT(r) > 0 AS edgeExists:result:True -2024-10-30 06:05:39,349 - lightrag - INFO - get_edge:query: - MATCH (source:`GHOST OF CHRISTMAS PRESENT`)-[r]-(target:`TINY TIM`) - RETURN r - :result:, ) type='DIRECTED' properties={'keywords': '"compassion, family"', 'description': '"The Ghost of Christmas Present reveals Tiny Tim’s struggles and optimism, emphasizing themes of compassion and family."', 'weight': 9.0, 'source_id': 'chunk-9e3921da66da5d761ab73cd849af6c43'}> -2024-10-30 06:05:39,487 - lightrag - INFO - _check_edge_existence:query:MATCH (a:`BOB CRATCHIT`)-[r]-(b:`MARTHA CRATCHIT`) RETURN COUNT(r) > 0 AS edgeExists:result:True -2024-10-30 06:05:39,622 - lightrag - INFO - get_edge:query: - MATCH (source:`BOB CRATCHIT`)-[r]-(target:`MARTHA CRATCHIT`) - RETURN r - :result:, ) type='DIRECTED' properties={'keywords': '"family bond, affection"', 'description': '"Martha shows affection for Bob Cratchit upon her arrival, indicating a warm father-daughter relationship within the family."', 'weight': 7.0, 'source_id': 'chunk-7e2e7ebcc19a53b399dc03aded4743e7'}> -2024-10-30 06:05:39,760 - lightrag - INFO - _check_edge_existence:query:MATCH (a:`MR. FEZZIWIG`)-[r]-(b:`SCROOGE`) RETURN COUNT(r) > 0 AS edgeExists:result:True -2024-10-30 06:05:39,896 - lightrag - INFO - get_edge:query: - MATCH (source:`MR. FEZZIWIG`)-[r]-(target:`SCROOGE`) - RETURN r - :result:, ) type='DIRECTED' properties={'keywords': '"kindness, influence"', 'description': '"Mr. Fezziwig\'s kindness towards employees influences Scrooge\'s eventual change in attitude toward generosity and business."', 'weight': 8.0, 'source_id': 'chunk-9e3921da66da5d761ab73cd849af6c43'}> -2024-10-30 06:05:40,034 - lightrag - INFO - _check_edge_existence:query:MATCH (a:`GHOST OF JACOB MARLEY`)-[r]-(b:`SCROOGE`) RETURN COUNT(r) > 0 AS edgeExists:result:True -2024-10-30 06:05:40,169 - lightrag - INFO - get_edge:query: - MATCH (source:`GHOST OF JACOB MARLEY`)-[r]-(target:`SCROOGE`) - RETURN r - :result:, ) type='DIRECTED' properties={'keywords': '"warning, transformation"', 'description': '"Jacob Marley appears to Scrooge as a warning and catalyst for his eventual transformation into a better person."', 'weight': 9.0, 'source_id': 'chunk-9e3921da66da5d761ab73cd849af6c43'}> -2024-10-30 06:05:40,304 - lightrag - INFO - _check_edge_existence:query:MATCH (a:`FAN`)-[r]-(b:`SCROOGE`) RETURN COUNT(r) > 0 AS edgeExists:result:True -2024-10-30 06:05:40,443 - lightrag - INFO - get_edge:query: - MATCH (source:`FAN`)-[r]-(target:`SCROOGE`) - RETURN r - :result:, ) type='DIRECTED' properties={'keywords': '"family, joy lost""sibling bond, nostalgia"', 'description': '"Fan\'s loving relationship with her brother Scrooge reflects the lost potential for joy in his life due to his choices.""Scrooge and Fan share a sibling bond, with Fan representing innocence and happiness from their childhood, which evokes fond memories for Scrooge."', 'weight': 14.0, 'source_id': 'chunk-c6c248858d1b13ab7ee9ca13c1aeed6bchunk-9e3921da66da5d761ab73cd849af6c43'}> -2024-10-30 06:05:40,583 - lightrag - INFO - _check_edge_existence:query:MATCH (a:`MR. FEZZIWIG`)-[r]-(b:`MRS. FEZZIWIG`) RETURN COUNT(r) > 0 AS edgeExists:result:True -2024-10-30 06:05:40,718 - lightrag - INFO - get_edge:query: - MATCH (source:`MR. FEZZIWIG`)-[r]-(target:`MRS. FEZZIWIG`) - RETURN r - :result:, ) type='DIRECTED' properties={'keywords': '"partnership, Christmas joy"', 'description': '"Mr. and Mrs. Fezziwig together create a joyful environment during Christmas, representing partnership and generosity."', 'weight': 8.0, 'source_id': 'chunk-9e3921da66da5d761ab73cd849af6c43'}> -2024-10-30 06:05:40,856 - lightrag - INFO - _check_edge_existence:query:MATCH (a:`FEZZIWIG`)-[r]-(b:`SCROOGE`) RETURN COUNT(r) > 0 AS edgeExists:result:True -2024-10-30 06:05:40,993 - lightrag - INFO - get_edge:query: - MATCH (source:`FEZZIWIG`)-[r]-(target:`SCROOGE`) - RETURN r - :result:, ) type='DIRECTED' properties={'keywords': '"kindness, mentorship""reflection, influence"', 'description': '"Scrooge reflects positively on Fezziwig\'s past actions, acknowledging the happiness and gratitude he inspired in people.""Scrooge reminisces about Fezziwig\'s kindness during his apprenticeship, comparing his past self to his current state."', 'weight': 16.0, 'source_id': 'chunk-b2f98bc7abb0c67d4c86055c7fd72218chunk-c6c248858d1b13ab7ee9ca13c1aeed6b'}> -2024-10-30 06:05:41,132 - lightrag - INFO - _check_edge_existence:query:MATCH (a:`MARLEY`)-[r]-(b:`SCROOGE`) RETURN COUNT(r) > 0 AS edgeExists:result:True -2024-10-30 06:05:41,265 - lightrag - INFO - get_edge:query: - MATCH (source:`MARLEY`)-[r]-(target:`SCROOGE`) - RETURN r - :result:, ) type='DIRECTED' properties={'keywords': '"mourning, partnership""past influence, personal history""redemption, confrontation""supernatural connection, past relationships"', 'description': '"Marley’s influence and past relationship with Scrooge is indicated, suggesting a connection that impacts Scrooge\'s character growth.""Scrooge is deeply affected by Marley\'s death, illustrated through his role as the sole executor and mourner of Marley.""Scrooge reflects on Marley, revealing his past connection and the haunting aspect of Marley\'s death, which influences Scrooge\'s character arc.""Scrooge\'s encounter with Marley’s Ghost serves as a confrontation with his past self and the life choices he regrets, depicting the theme of redemption."', 'weight': 32.0, 'source_id': 'chunk-d9aac3484185ac66045df92214d245d5chunk-843b5b2f944c7413d9ca876e2e2f151fchunk-89777b838d5447c7bd1ec11282c4ee89chunk-9c43dac2fcd5b578242d907ea6f8fc7b'}> -2024-10-30 06:05:41,401 - lightrag - INFO - _check_edge_existence:query:MATCH (a:`CHRISTMAS`)-[r]-(b:`SCROOGE`) RETURN COUNT(r) > 0 AS edgeExists:result:True -2024-10-30 06:05:41,537 - lightrag - INFO - get_edge:query: - MATCH (source:`CHRISTMAS`)-[r]-(target:`SCROOGE`) - RETURN r - :result:, ) type='DIRECTED' properties={'keywords': '"character development, festive spirit""conflict, holiday spirit""contrast, seasonal significance""disconnection, festive spirit""holiday significance, reflection""reflection, redemption""seasonal significance, emotional reflection""transformation, festive spirit""transformation, holiday significance""transformation, holiday spirit"', 'description': '"Christmas is a central theme that invokes Scrooge\'s memories of his past, his feelings of loneliness, and his desire to connect.""Christmas serves as a focal point for Scrooge\'s emotional reflections on joy and his disconnect from societal celebrations.""Christmas serves as the catalyst for Scrooge\'s transformation, highlighting themes of giving and compassion.""Scrooge expresses disdain for Christmas, viewing it as a burden rather than a celebration.""Scrooge\'s attitude towards Christmas highlights his disconnection from the festive spirit and charity associated with the holiday.""Scrooge\'s character contrasts sharply with the joy of Christmas, highlighting his disdain for the festive season.""Scrooge\'s experience during the Christmas event highlights the transformation of his character and the spirit of the holiday.""Scrooge\'s journey with the Spirit ultimately leads him to reflect on the meaning of Christmas and its impact on human connections.""Scrooge\'s transformation and newfound joy are directly linked to the spirit of Christmas.""Scrooge\'s transformation is centered around the spirit of Christmas, which he learns to embrace and celebrate.""Scrooge\'s views on Christmas evolve as he witnesses the joy and familial love associated with the holiday, marking a shift in his character."', 'weight': 95.0, 'source_id': 'chunk-91614df5cb74cbe5e109a338a82041e9chunk-8f738cb25d60a7dab782162d9d0a25edchunk-e7637ff18c5ded77a68cce0a87883fadchunk-8590d9263cd2cd4fa583c432fc54e6c3chunk-54bdd22db1f84a965b5f4c06c9216d8dchunk-90d5764e301321c087f5a8f78b73a145chunk-da2472b4ef2a535b62908f14d0fb0ca9chunk-94bea83e7153fc2064aa382b494936a1chunk-89777b838d5447c7bd1ec11282c4ee89chunk-99b0ec7f7e006561352b5d65e849611dchunk-74e2466de2f67fd710ef2f20c0a8d9e0'}> -2024-10-30 06:05:41,677 - lightrag - INFO - _check_edge_existence:query:MATCH (a:`SCROOGE`)-[r]-(b:`THE WAREHOUSE`) RETURN COUNT(r) > 0 AS edgeExists:result:True -2024-10-30 06:05:41,807 - lightrag - INFO - get_edge:query: - MATCH (source:`SCROOGE`)-[r]-(target:`THE WAREHOUSE`) - RETURN r - :result:, ) type='DIRECTED' properties={'keywords': '"memories, apprenticeship"', 'description': '"Scrooge\'s connection to the Warehouse emphasizes his memories of apprenticeship and his past experiences."', 'weight': 8.0, 'source_id': 'chunk-c6c248858d1b13ab7ee9ca13c1aeed6b'}> -2024-10-30 06:05:41,949 - lightrag - INFO - _check_edge_existence:query:MATCH (a:`JOE`)-[r]-(b:`THE WOMAN`) RETURN COUNT(r) > 0 AS edgeExists:result:True -2024-10-30 06:05:42,084 - lightrag - INFO - get_edge:query: - MATCH (source:`JOE`)-[r]-(target:`THE WOMAN`) - RETURN r - :result:, ) type='DIRECTED' properties={'keywords': '"dialogue, humor, death""humor, interaction"', 'description': '"Joe and The Woman engage in dialogue about the deceased\'s belongings, showcasing their interactions and differing attitudes towards death.""Joe and The Woman share a humorous exchange about the bed-curtains, reflecting the jovial spirit of the gathering."', 'weight': 12.0, 'source_id': 'chunk-89777b838d5447c7bd1ec11282c4ee89chunk-e1f29eeadc1d8ab46dc8a0bbd3c56b64'}> -2024-10-30 06:05:42,225 - lightrag - INFO - _check_edge_existence:query:MATCH (a:`SCROOGE`)-[r]-(b:`TIM`) RETURN COUNT(r) > 0 AS edgeExists:result:True -2024-10-30 06:05:42,355 - lightrag - INFO - get_edge:query: - MATCH (source:`SCROOGE`)-[r]-(target:`TIM`) - RETURN r - :result:, ) type='DIRECTED' properties={'keywords': '"familial connection, emotional depth"', 'description': '"Scrooge\'s connection to Tim emphasizes emotional depth, reflecting on family and lost connections as part of his character development."', 'weight': 8.0, 'source_id': 'chunk-89777b838d5447c7bd1ec11282c4ee89'}> -2024-10-30 06:05:42,496 - lightrag - INFO - _check_edge_existence:query:MATCH (a:`OLD SCROOGE`)-[r]-(b:`SCROOGE`) RETURN COUNT(r) > 0 AS edgeExists:result:True -2024-10-30 06:05:42,632 - lightrag - INFO - get_edge:query: - MATCH (source:`OLD SCROOGE`)-[r]-(target:`SCROOGE`) - RETURN r - :result:, ) type='DIRECTED' properties={'keywords': '"character history, development"', 'description': '"Scrooge\'s history is revealed through the mention of Old Scrooge, indicating his past beliefs and practices that shape his current persona."', 'weight': 7.0, 'source_id': 'chunk-89777b838d5447c7bd1ec11282c4ee89'}> -2024-10-30 06:05:42,771 - lightrag - INFO - _check_edge_existence:query:MATCH (a:`MARLEY'S FUNERAL`)-[r]-(b:`SCROOGE`) RETURN COUNT(r) > 0 AS edgeExists:result:True -2024-10-30 06:05:42,907 - lightrag - INFO - get_edge:query: - MATCH (source:`MARLEY'S FUNERAL`)-[r]-(target:`SCROOGE`) - RETURN r - :result:, ) type='DIRECTED' properties={'keywords': '"loss, character journey"', 'description': '"Marley\'s Funeral signifies the beginning of Scrooge\'s emotional journey, showcasing his reaction to loss and setting the stage for the narrative."', 'weight': 9.0, 'source_id': 'chunk-89777b838d5447c7bd1ec11282c4ee89'}> -2024-10-30 06:05:43,048 - lightrag - INFO - _check_edge_existence:query:MATCH (a:`SCROOGE`)-[r]-(b:`SCROOGE'S NEPHEW`) RETURN COUNT(r) > 0 AS edgeExists:result:True -2024-10-30 06:05:43,186 - lightrag - INFO - get_edge:query: - MATCH (source:`SCROOGE`)-[r]-(target:`SCROOGE'S NEPHEW`) - RETURN r - :result:, ) type='DIRECTED' properties={'keywords': '"family conflict, differing perspectives""family dynamics, contrasting views""family dynamics, opposing views"', 'description': '"Scrooge\'s Nephew contrasts with Scrooge, advocating for merriment and showing pity for his uncle\'s ill tempers.""Scrooge\'s Nephew tries to cheer Scrooge up and promote the joy of Christmas, but is met with rejection and negativity.""Scrooge\'s Nephew tries to convince Scrooge of the joys of Christmas, illustrating the conflict between their differing views on the holiday."', 'weight': 24.0, 'source_id': 'chunk-773d0df1dd25c356f7b771d780583e09chunk-74e2466de2f67fd710ef2f20c0a8d9e0chunk-5dac41b3f9eeaf794f0147400b1718cd'}> -2024-10-30 06:05:43,323 - lightrag - INFO - _check_edge_existence:query:MATCH (a:`CHRISTMAS`)-[r]-(b:`SCROOGE'S NEPHEW`) RETURN COUNT(r) > 0 AS edgeExists:result:True -2024-10-30 06:05:43,459 - lightrag - INFO - get_edge:query: - MATCH (source:`CHRISTMAS`)-[r]-(target:`SCROOGE'S NEPHEW`) - RETURN r - :result:, ) type='DIRECTED' properties={'keywords': '"advocacy for holiday spirit, family dynamics"', 'description': '"Scrooge\'s Nephew defends the positive aspects of Christmas, contrasting Scrooge\'s view that the holiday is pointless."', 'weight': 9.0, 'source_id': 'chunk-5dac41b3f9eeaf794f0147400b1718cd'}> -2024-10-30 06:05:43,595 - lightrag - INFO - _check_edge_existence:query:MATCH (a:`COUNTING-HOUSE`)-[r]-(b:`SCROOGE`) RETURN COUNT(r) > 0 AS edgeExists:result:True -2024-10-30 06:05:43,726 - lightrag - INFO - get_edge:query: - MATCH (source:`COUNTING-HOUSE`)-[r]-(target:`SCROOGE`) - RETURN r - :result:, ) type='DIRECTED' properties={'keywords': '"isolation, work environment""reflection, priorities"', 'description': '"Scrooge reflects on his life spent in the Counting-house, which represents his previous priorities focused on business over personal connections.""Scrooge\'s counting-house is a reflection of his cold character and attitude towards life, where he isolates himself from human interactions."', 'weight': 16.0, 'source_id': 'chunk-74e2466de2f67fd710ef2f20c0a8d9e0chunk-359187e7571bda4b0b08b2e0b6581e52'}> -2024-10-30 06:05:43,863 - lightrag - INFO - _check_edge_existence:query:MATCH (a:`BEGGARS`)-[r]-(b:`SCROOGE`) RETURN COUNT(r) > 0 AS edgeExists:result:True -2024-10-30 06:05:43,999 - lightrag - INFO - get_edge:query: - MATCH (source:`BEGGARS`)-[r]-(target:`SCROOGE`) - RETURN r - :result:, ) type='DIRECTED' properties={'keywords': '"lack of compassion, social isolation"', 'description': '"Beggars do not seek help from Scrooge due to his reputation, highlighting his inability to connect and empathize with those in need."', 'weight': 6.0, 'source_id': 'chunk-74e2466de2f67fd710ef2f20c0a8d9e0'}> -2024-10-30 06:05:44,136 - lightrag - INFO - _check_edge_existence:query:MATCH (a:`CHILDREN`)-[r]-(b:`SCROOGE`) RETURN COUNT(r) > 0 AS edgeExists:result:True -2024-10-30 06:05:44,269 - lightrag - INFO - get_edge:query: - MATCH (source:`CHILDREN`)-[r]-(target:`SCROOGE`) - RETURN r - :result:, ) type='DIRECTED' properties={'keywords': '"longing, innocence"', 'description': '"Scrooge\'s reaction to the Children he observes in his memories reveals his longing for the happiness he once knew but has since lost."', 'weight': 7.0, 'source_id': 'chunk-bb21d58d36c6306fd8810ddd51c4a971'}> -2024-10-30 06:05:44,410 - lightrag - INFO - _check_edge_existence:query:MATCH (a:`COLD WEATHER`)-[r]-(b:`SCROOGE`) RETURN COUNT(r) > 0 AS edgeExists:result:True -2024-10-30 06:05:44,543 - lightrag - INFO - get_edge:query: - MATCH (source:`COLD WEATHER`)-[r]-(target:`SCROOGE`) - RETURN r - :result:, ) type='DIRECTED' properties={'keywords': '"atmosphere, personality mirror"', 'description': '"The cold weather reflects Scrooge\'s icy demeanor, emphasizing his negative attitude towards life and others."', 'weight': 9.0, 'source_id': 'chunk-74e2466de2f67fd710ef2f20c0a8d9e0'}> -2024-10-30 06:05:44,680 - lightrag - INFO - _check_edge_existence:query:MATCH (a:`FOG`)-[r]-(b:`SCROOGE`) RETURN COUNT(r) > 0 AS edgeExists:result:True -2024-10-30 06:05:44,812 - lightrag - INFO - get_edge:query: - MATCH (source:`FOG`)-[r]-(target:`SCROOGE`) - RETURN r - :result:, ) type='DIRECTED' properties={'keywords': '"atmosphere, emotional reflection"', 'description': '"Fog represents the obscured vision of Scrooge\'s soul and emotions, aligning with his unknowable nature."', 'weight': 8.0, 'source_id': 'chunk-d9aac3484185ac66045df92214d245d5'}> -2024-10-30 06:05:44,951 - lightrag - INFO - _check_edge_existence:query:MATCH (a:`COURT`)-[r]-(b:`SCROOGE`) RETURN COUNT(r) > 0 AS edgeExists:result:True -2024-10-30 06:05:45,085 - lightrag - INFO - get_edge:query: - MATCH (source:`COURT`)-[r]-(target:`SCROOGE`) - RETURN r - :result:, ) type='DIRECTED' properties={'keywords': '"social contrast, isolation"', 'description': '"The court serves as a contrasting backdrop to Scrooge’s private space, where social warmth and interaction occur, which he actively avoids."', 'weight': 7.0, 'source_id': 'chunk-74e2466de2f67fd710ef2f20c0a8d9e0'}> -2024-10-30 06:05:45,223 - lightrag - INFO - _check_edge_existence:query:MATCH (a:`MARLEY`)-[r]-(b:`SCROOGE AND MARLEY'S`) RETURN COUNT(r) > 0 AS edgeExists:result:True -2024-10-30 06:05:45,357 - lightrag - INFO - get_edge:query: - MATCH (source:`MARLEY`)-[r]-(target:`SCROOGE AND MARLEY'S`) - RETURN r - :result:, ) type='DIRECTED' properties={'keywords': '"partnership, legacy"', 'description': '"Scrooge and Marley\'s is the business associated with Marley, emphasizing its history and the weight of Marley\'s legacy in shaping Scrooge\'s character."', 'weight': 6.0, 'source_id': 'chunk-5dac41b3f9eeaf794f0147400b1718cd'}> -2024-10-30 06:05:45,495 - lightrag - INFO - _check_edge_existence:query:MATCH (a:`CLERK`)-[r]-(b:`SCROOGE`) RETURN COUNT(r) > 0 AS edgeExists:result:True -2024-10-30 06:05:45,628 - lightrag - INFO - get_edge:query: - MATCH (source:`CLERK`)-[r]-(target:`SCROOGE`) - RETURN r - :result:, ) type='DIRECTED' properties={'keywords': '"employment relationship, respect"', 'description': '"The Clerk communicates with Scrooge about his work, highlighting the lack of mutual respect in their employer-employee relationship."', 'weight': 5.0, 'source_id': 'chunk-d9aac3484185ac66045df92214d245d5'}> -2024-10-30 06:05:45,765 - lightrag - INFO - _check_edge_existence:query:MATCH (a:`SCROOGE`)-[r]-(b:`THE GENTLEMEN`) RETURN COUNT(r) > 0 AS edgeExists:result:True -2024-10-30 06:05:45,898 - lightrag - INFO - get_edge:query: - MATCH (source:`SCROOGE`)-[r]-(target:`THE GENTLEMEN`) - RETURN r - :result:, ) type='DIRECTED' properties={'keywords': '"charity, social responsibility"', 'description': '"The Gentlemen approach Scrooge about donations for the poor, representing a charitable campaign that he strongly resists."', 'weight': 8.0, 'source_id': 'chunk-5dac41b3f9eeaf794f0147400b1718cd'}> -2024-10-30 06:05:46,041 - lightrag - INFO - _check_edge_existence:query:MATCH (a:`POOR AND DESTITUTE`)-[r]-(b:`SCROOGE`) RETURN COUNT(r) > 0 AS edgeExists:result:True -2024-10-30 06:05:46,176 - lightrag - INFO - get_edge:query: - MATCH (source:`POOR AND DESTITUTE`)-[r]-(target:`SCROOGE`) - RETURN r - :result:, ) type='DIRECTED' properties={'keywords': '"miserliness, social neglect"', 'description': '"Scrooge\'s reluctance to support the Poor and Destitute highlights his miserly nature and his antagonism toward societal responsibility."', 'weight': 7.0, 'source_id': 'chunk-5dac41b3f9eeaf794f0147400b1718cd'}> -2024-10-30 06:05:46,317 - lightrag - INFO - _check_edge_existence:query:MATCH (a:`CHRISTMAS-TIME`)-[r]-(b:`SCROOGE'S NEPHEW`) RETURN COUNT(r) > 0 AS edgeExists:result:True -2024-10-30 06:05:46,451 - lightrag - INFO - get_edge:query: - MATCH (source:`CHRISTMAS-TIME`)-[r]-(target:`SCROOGE'S NEPHEW`) - RETURN r - :result:, ) type='DIRECTED' properties={'keywords': '"celebration, family dynamics"', 'description': '"Scrooge\'s Nephew celebrates Christmas-Time as a period for kindness and charity, clashing with Scrooge\'s cynical view."', 'weight': 8.0, 'source_id': 'chunk-5dac41b3f9eeaf794f0147400b1718cd'}> -2024-10-30 06:05:46,588 - lightrag - INFO - _check_edge_existence:query:MATCH (a:`BEDLAM`)-[r]-(b:`SCROOGE`) RETURN COUNT(r) > 0 AS edgeExists:result:True -2024-10-30 06:05:46,721 - lightrag - INFO - get_edge:query: - MATCH (source:`BEDLAM`)-[r]-(target:`SCROOGE`) - RETURN r - :result:, ) type='DIRECTED' properties={'keywords': '"disdain, societal norms"', 'description': '"Scrooge invokes the concept of Bedlam to express his disbelief and frustration at the cheerfulness of others, implying a disdain for societal norms."', 'weight': 6.0, 'source_id': 'chunk-5dac41b3f9eeaf794f0147400b1718cd'}> -2024-10-30 06:05:46,864 - lightrag - INFO - _check_edge_existence:query:MATCH (a:`SCROOGE`)-[r]-(b:`THE GENTLEMAN`) RETURN COUNT(r) > 0 AS edgeExists:result:True -2024-10-30 06:05:46,999 - lightrag - INFO - get_edge:query: - MATCH (source:`SCROOGE`)-[r]-(target:`THE GENTLEMAN`) - RETURN r - :result:, ) type='DIRECTED' properties={'keywords': '"charity, conflict of values"', 'description': '"Scrooge and The Gentleman have opposing views on charity and helping the poor during Christmas, showing a stark contrast in values."', 'weight': 8.0, 'source_id': 'chunk-90d5764e301321c087f5a8f78b73a145'}> -2024-10-30 06:05:47,140 - lightrag - INFO - _check_edge_existence:query:MATCH (a:`THE GENTLEMAN`)-[r]-(b:`THE POOR LAW`) RETURN COUNT(r) > 0 AS edgeExists:result:True -2024-10-30 06:05:47,274 - lightrag - INFO - get_edge:query: - MATCH (source:`THE GENTLEMAN`)-[r]-(target:`THE POOR LAW`) - RETURN r - :result:, ) type='DIRECTED' properties={'keywords': '"charity, systemic support"', 'description': '"The Gentleman references the Poor Law as part of his argument for helping the needy, illustrating systemic support for the impoverished."', 'weight': 6.0, 'source_id': 'chunk-90d5764e301321c087f5a8f78b73a145'}> -2024-10-30 06:05:47,421 - lightrag - INFO - _check_edge_existence:query:MATCH (a:`THE POOR LAW`)-[r]-(b:`THE UNION WORKHOUSES`) RETURN COUNT(r) > 0 AS edgeExists:result:True -2024-10-30 06:05:47,556 - lightrag - INFO - get_edge:query: - MATCH (source:`THE POOR LAW`)-[r]-(target:`THE UNION WORKHOUSES`) - RETURN r - :result:, ) type='DIRECTED' properties={'keywords': '"support mechanisms, charity"', 'description': '"The Poor Law and Union Workhouses are connected as they both serve as mechanisms for helping the poor, albeit with differing implications for charity."', 'weight': 7.0, 'source_id': 'chunk-90d5764e301321c087f5a8f78b73a145'}> -2024-10-30 06:05:47,695 - lightrag - INFO - _check_edge_existence:query:MATCH (a:`THE LADY MAYOR`)-[r]-(b:`THE MANSION HOUSE`) RETURN COUNT(r) > 0 AS edgeExists:result:True -2024-10-30 06:05:47,831 - lightrag - INFO - get_edge:query: - MATCH (source:`THE LADY MAYOR`)-[r]-(target:`THE MANSION HOUSE`) - RETURN r - :result:, ) type='DIRECTED' properties={'keywords': '"holiday preparations, community significance"', 'description': '"The Lady Mayor prepares for Christmas festivities at the Mansion House, highlighting the importance of the event to the community."', 'weight': 8.0, 'source_id': 'chunk-90d5764e301321c087f5a8f78b73a145'}> -2024-10-30 06:05:47,970 - lightrag - INFO - _check_edge_existence:query:MATCH (a:`BOB CRATCHIT`)-[r]-(b:`SCROOGE`) RETURN COUNT(r) > 0 AS edgeExists:result:True -2024-10-30 06:05:48,105 - lightrag - INFO - get_edge:query: - MATCH (source:`BOB CRATCHIT`)-[r]-(target:`SCROOGE`) - RETURN r - :result:, ) type='DIRECTED' properties={'keywords': '"employment, generosity""employment, power dynamic""employment, social reflection""family dynamics, acknowledgment""generosity, relationship change""gratitude, redemption"', 'description': '"Bob Cratchit tries to maintain a positive atmosphere during the Christmas feast despite the negative association with Scrooge.""Bob praises Scrooge as \'The Founder of the Feast\', showing appreciation despite Scrooge’s previous miserliness.""Scrooge decides to send a turkey to Bob Cratchit, indicating a newfound kindness towards him and his family.""Scrooge is Bob Cratchit\'s employer, and he reflects on the challenges Bob faces regarding family and food on Christmas Day.".""Scrooge is the employer of Bob Cratchit, demonstrating a power dynamic characterized by Scrooge\'s harsh treatment and Bob\'s subservient role.""Scrooge reprimands Bob for arriving late, but ultimately decides to raise his salary, signaling a significant change in their employer-employee relationship."', 'weight': 40.0, 'source_id': 'chunk-503f0bfa5453467c7c61d160a3540ecachunk-90b95db5c53e4364a6bee36b7aa4d70fchunk-b0f459f5af1c3a5e0b92cbe4ee48b77bchunk-d9aac3484185ac66045df92214d245d5chunk-94bea83e7153fc2064aa382b494936a1chunk-19d72c57ae3408758b18d2568e86dc6b'}> -2024-10-30 06:05:48,247 - lightrag - INFO - _check_edge_existence:query:MATCH (a:`CHRISTMAS EVE`)-[r]-(b:`SCROOGE`) RETURN COUNT(r) > 0 AS edgeExists:result:True -2024-10-30 06:05:48,382 - lightrag - INFO - get_edge:query: - MATCH (source:`CHRISTMAS EVE`)-[r]-(target:`SCROOGE`) - RETURN r - :result:, ) type='DIRECTED' properties={'keywords': '"holiday spirit, character development"', 'description': '"Scrooge\'s actions and attitudes towards Christmas Eve highlight his disdain for traditional celebrations, setting the tone for his character arc."', 'weight': 8.0, 'source_id': 'chunk-d9aac3484185ac66045df92214d245d5'}> -2024-10-30 06:05:48,519 - lightrag - INFO - _check_edge_existence:query:MATCH (a:`BOB CRATCHIT`)-[r]-(b:`CHRISTMAS EVE`) RETURN COUNT(r) > 0 AS edgeExists:result:True -2024-10-30 06:05:48,651 - lightrag - INFO - get_edge:query: - MATCH (source:`BOB CRATCHIT`)-[r]-(target:`CHRISTMAS EVE`) - RETURN r - :result:, ) type='DIRECTED' properties={'keywords': '"celebration, contrast"', 'description': '"Bob Cratchit embodies the joy of Christmas Eve while Scrooge\'s perspective starkly contrasts with Bob\'s happiness during the holiday season."', 'weight': 5.0, 'source_id': 'chunk-d9aac3484185ac66045df92214d245d5'}> -2024-10-30 06:05:48,790 - lightrag - INFO - _check_edge_existence:query:MATCH (a:`SCROOGE`)-[r]-(b:`THE COUNTING-HOUSE`) RETURN COUNT(r) > 0 AS edgeExists:result:True -2024-10-30 06:05:48,927 - lightrag - INFO - get_edge:query: - MATCH (source:`SCROOGE`)-[r]-(target:`THE COUNTING-HOUSE`) - RETURN r - :result:, ) type='DIRECTED' properties={'keywords': '"work environment, character development""work environment, personality reflection"', 'description': '"Scrooge\'s work environment reflects his personality, being cold and uninviting, mirroring his discontent with life.""The Counting-House is where Scrooge works, illustrating the environment that shapes his bleak personality."', 'weight': 14.0, 'source_id': 'chunk-d9aac3484185ac66045df92214d245d5chunk-74e2466de2f67fd710ef2f20c0a8d9e0'}> -2024-10-30 06:05:49,069 - lightrag - INFO - _check_edge_existence:query:MATCH (a:`SCROOGE`)-[r]-(b:`THE KNOCKER`) RETURN COUNT(r) > 0 AS edgeExists:result:True -2024-10-30 06:05:49,205 - lightrag - INFO - get_edge:query: - MATCH (source:`SCROOGE`)-[r]-(target:`THE KNOCKER`) - RETURN r - :result:, ) type='DIRECTED' properties={'keywords': '"appreciation, transformation""symbolism, transformation"', 'description': '"Scrooge admires the knocker at his door, marking a positive change in his attitude towards life and surroundings.""The Knocker, transforming into Marley\'s face, symbolizes Scrooge\'s ghostly past and impending redemption challenges."', 'weight': 15.0, 'source_id': 'chunk-d9aac3484185ac66045df92214d245d5chunk-8f738cb25d60a7dab782162d9d0a25ed'}> -2024-10-30 06:05:49,348 - lightrag - INFO - _check_edge_existence:query:MATCH (a:`SCROOGE`)-[r]-(b:`THE YARD`) RETURN COUNT(r) > 0 AS edgeExists:result:True -2024-10-30 06:05:49,478 - lightrag - INFO - get_edge:query: - MATCH (source:`SCROOGE`)-[r]-(target:`THE YARD`) - RETURN r - :result:, ) type='DIRECTED' properties={'keywords': '"isolation, emotional landscape"', 'description': '"The Yard represents the isolation in Scrooge\'s life, physically and metaphorically reflecting his emotional state."', 'weight': 8.0, 'source_id': 'chunk-d9aac3484185ac66045df92214d245d5'}> -2024-10-30 06:05:49,616 - lightrag - INFO - _check_edge_existence:query:MATCH (a:`SCROOGE`)-[r]-(b:`THE FOG AND FROST`) RETURN COUNT(r) > 0 AS edgeExists:result:True -2024-10-30 06:05:49,751 - lightrag - INFO - get_edge:query: - MATCH (source:`SCROOGE`)-[r]-(target:`THE FOG AND FROST`) - RETURN r - :result:, ) type='DIRECTED' properties={'keywords': '"atmosphere, emotional coldness"', 'description': '"The Fog and Frost enveloping Scrooge\'s home reflect the chilling atmosphere of his life and his emotional coldness."', 'weight': 7.0, 'source_id': 'chunk-d9aac3484185ac66045df92214d245d5'}> -2024-10-30 06:05:49,888 - lightrag - INFO - _check_edge_existence:query:MATCH (a:`BOB CRATCHIT`)-[r]-(b:`THE COUNTING-HOUSE CLERK`) RETURN COUNT(r) > 0 AS edgeExists:result:True -2024-10-30 06:05:50,023 - lightrag - INFO - get_edge:query: - MATCH (source:`BOB CRATCHIT`)-[r]-(target:`THE COUNTING-HOUSE CLERK`) - RETURN r - :result:, ) type='DIRECTED' properties={'keywords': '"workforce dynamics, character contrast"', 'description': '"Bob Cratchit and The Counting-House Clerk represent the working class under Scrooge\'s employment, showcasing different character traits in the context of their work."', 'weight': 6.0, 'source_id': 'chunk-d9aac3484185ac66045df92214d245d5'}> -2024-10-30 06:05:50,160 - lightrag - INFO - _check_edge_existence:query:MATCH (a:`SCROOGE`)-[r]-(b:`THE GHOST OF MARLEY`) RETURN COUNT(r) > 0 AS edgeExists:result:True -2024-10-30 06:05:50,295 - lightrag - INFO - get_edge:query: - MATCH (source:`SCROOGE`)-[r]-(target:`THE GHOST OF MARLEY`) - RETURN r - :result:, ) type='DIRECTED' properties={'keywords': '"supernatural, moral reckoning"', 'description': '"The Ghost of Marley symbolizes Scrooge\'s past mistakes and serves as a catalyst for his transformation."', 'weight': 9.0, 'source_id': 'chunk-d9aac3484185ac66045df92214d245d5'}> -2024-10-30 06:05:50,437 - lightrag - INFO - _check_edge_existence:query:MATCH (a:`BOB CRATCHIT`)-[r]-(b:`CAMDEN TOWN`) RETURN COUNT(r) > 0 AS edgeExists:result:True -2024-10-30 06:05:50,570 - lightrag - INFO - get_edge:query: - MATCH (source:`BOB CRATCHIT`)-[r]-(target:`CAMDEN TOWN`) - RETURN r - :result:, ) type='DIRECTED' properties={'keywords': '"contrast, warmth"', 'description': '"Camden Town serves as a location representing warmth and family contrast to Scrooge\'s loneliness."', 'weight': 6.0, 'source_id': 'chunk-d9aac3484185ac66045df92214d245d5'}> -2024-10-30 06:05:50,711 - lightrag - INFO - _check_edge_existence:query:MATCH (a:`THE CANDLE`)-[r]-(b:`THE FOG AND FROST`) RETURN COUNT(r) > 0 AS edgeExists:result:True -2024-10-30 06:05:50,845 - lightrag - INFO - get_edge:query: - MATCH (source:`THE CANDLE`)-[r]-(target:`THE FOG AND FROST`) - RETURN r - :result:, ) type='DIRECTED' properties={'keywords': '"hope, contrast"', 'description': '"The Candle symbolizes a flicker of warmth and hope in the bleak setting of Fog and Frost, contrasting the overall atmosphere."', 'weight': 6.0, 'source_id': 'chunk-d9aac3484185ac66045df92214d245d5'}> -2024-10-30 06:05:50,986 - lightrag - INFO - _check_edge_existence:query:MATCH (a:`SCROOGE`)-[r]-(b:`THE HOUSE`) RETURN COUNT(r) > 0 AS edgeExists:result:True -2024-10-30 06:05:51,122 - lightrag - INFO - get_edge:query: - MATCH (source:`SCROOGE`)-[r]-(target:`THE HOUSE`) - RETURN r - :result:, ) type='DIRECTED' properties={'keywords': '"haunting, setting influence"', 'description': '"Scrooge\'s experiences with Marley\'s Ghost occur within The House, which plays a crucial role in the haunting atmosphere."', 'weight': 8.0, 'source_id': 'chunk-9c43dac2fcd5b578242d907ea6f8fc7b'}> -2024-10-30 06:05:51,260 - lightrag - INFO - _check_edge_existence:query:MATCH (a:`MARLEY`)-[r]-(b:`THE GHOST`) RETURN COUNT(r) > 0 AS edgeExists:result:True -2024-10-30 06:05:51,395 - lightrag - INFO - get_edge:query: - MATCH (source:`MARLEY`)-[r]-(target:`THE GHOST`) - RETURN r - :result:, ) type='DIRECTED' properties={'keywords': '"haunting, past choices"', 'description': '"Marley is the embodiment of The Ghost that appears to Scrooge, representing past choices and the consequences of his actions."', 'weight': 9.0, 'source_id': 'chunk-9c43dac2fcd5b578242d907ea6f8fc7b'}> -2024-10-30 06:05:51,535 - lightrag - INFO - _check_edge_existence:query:MATCH (a:`SCROOGE`)-[r]-(b:`THE BELL`) RETURN COUNT(r) > 0 AS edgeExists:result:True -2024-10-30 06:05:51,669 - lightrag - INFO - get_edge:query: - MATCH (source:`SCROOGE`)-[r]-(target:`THE BELL`) - RETURN r - :result:, ) type='DIRECTED' properties={'keywords': '"foreboding, supernatural"', 'description': '"The Bell\'s movement and sound foreshadow Marley\'s Ghost\'s appearance, enhancing the sense of impending supernatural activity in Scrooge\'s environment."', 'weight': 8.0, 'source_id': 'chunk-9c43dac2fcd5b578242d907ea6f8fc7b'}> -2024-10-30 06:05:51,807 - lightrag - INFO - _check_edge_existence:query:MATCH (a:`MARLEY`)-[r]-(b:`THE HEAVY CHAIN`) RETURN COUNT(r) > 0 AS edgeExists:result:True -2024-10-30 06:05:51,946 - lightrag - INFO - get_edge:query: - MATCH (source:`MARLEY`)-[r]-(target:`THE HEAVY CHAIN`) - RETURN r - :result:, ) type='DIRECTED' properties={'keywords': '"burden, consequence"', 'description': '"The Heavy Chain is linked to Marley as it suggests the burdens he carries from his earthly life, which he now haunts Scrooge with."', 'weight': 9.0, 'source_id': 'chunk-9c43dac2fcd5b578242d907ea6f8fc7b'}> -2024-10-30 06:05:52,088 - lightrag - INFO - _check_edge_existence:query:MATCH (a:`SCROOGE`)-[r]-(b:`THE WINE-MERCHANT'S CELLAR`) RETURN COUNT(r) > 0 AS edgeExists:result:True -2024-10-30 06:05:52,222 - lightrag - INFO - get_edge:query: - MATCH (source:`SCROOGE`)-[r]-(target:`THE WINE-MERCHANT'S CELLAR`) - RETURN r - :result:, ) type='DIRECTED' properties={'keywords': '"atmosphere, haunting"', 'description': '"Scrooge hears the dragging chains from The Wine-Merchant\'s Cellar, indicating that the haunting presence is felt throughout The House."', 'weight': 8.0, 'source_id': 'chunk-9c43dac2fcd5b578242d907ea6f8fc7b'}> -2024-10-30 06:05:52,360 - lightrag - INFO - _check_edge_existence:query:MATCH (a:`SCROOGE`)-[r]-(b:`THE GRATE`) RETURN COUNT(r) > 0 AS edgeExists:result:True -2024-10-30 06:05:52,495 - lightrag - INFO - get_edge:query: - MATCH (source:`SCROOGE`)-[r]-(target:`THE GRATE`) - RETURN r - :result:, ) type='DIRECTED' properties={'keywords': '"isolation, setting mood"', 'description': '"The Grate\'s cold fire adds to the bleak setting of Scrooge\'s home, illustrating his disconnection from warmth and comfort before the supernatural events unfold."', 'weight': 6.0, 'source_id': 'chunk-9c43dac2fcd5b578242d907ea6f8fc7b'}> -2024-10-30 06:05:52,634 - lightrag - INFO - _check_edge_existence:query:MATCH (a:`SCROOGE`)-[r]-(b:`THE DYING FLAME`) RETURN COUNT(r) > 0 AS edgeExists:result:True -2024-10-30 06:05:52,765 - lightrag - INFO - get_edge:query: - MATCH (source:`SCROOGE`)-[r]-(target:`THE DYING FLAME`) - RETURN r - :result:, ) type='DIRECTED' properties={'keywords': '"fear, conflict"', 'description': '"The Dying Flame\'s flickering is reflective of Scrooge\'s fear and mental state in the presence of the ghost, amplifying his internal conflict."', 'weight': 8.0, 'source_id': 'chunk-9c43dac2fcd5b578242d907ea6f8fc7b'}> -2024-10-30 06:05:52,902 - lightrag - INFO - _check_edge_existence:query:MATCH (a:`MARLEY'S GHOST`)-[r]-(b:`SCROOGE`) RETURN COUNT(r) > 0 AS edgeExists:result:True -2024-10-30 06:05:53,034 - lightrag - INFO - get_edge:query: - MATCH (source:`MARLEY'S GHOST`)-[r]-(target:`SCROOGE`) - RETURN r - :result:, ) type='DIRECTED' properties={'keywords': '"supernatural confrontation, regret""warning, fate"', 'description': '"Marley\'s Ghost warns Scrooge about the consequences of his actions and the visits of the three spirits, setting the stage for his transformation.""Scrooge is haunted by Marley\'s Ghost, which confronts him as a part of a supernatural occurrence meant to incite fear and reflection on his life choices."', 'weight': 18.0, 'source_id': 'chunk-9c43dac2fcd5b578242d907ea6f8fc7bchunk-cb661c37436355ccec2769b1d0350c5f'}> -2024-10-30 06:05:53,176 - lightrag - INFO - _check_edge_existence:query:MATCH (a:`JACOB MARLEY`)-[r]-(b:`MARLEY'S GHOST`) RETURN COUNT(r) > 0 AS edgeExists:result:True -2024-10-30 06:05:53,314 - lightrag - INFO - get_edge:query: - MATCH (source:`JACOB MARLEY`)-[r]-(target:`MARLEY'S GHOST`) - RETURN r - :result:, ) type='DIRECTED' properties={'keywords': '"past partnership, redemption"', 'description': '"Jacob Marley is the entity represented by Marley\'s Ghost, embodying the warning about the repercussions of a life focused solely on material gain."', 'weight': 9.0, 'source_id': 'chunk-1aa50206d02ed89418f65f97c6441d1c'}> -2024-10-30 06:05:53,459 - lightrag - INFO - _check_edge_existence:query:MATCH (a:`GHOST`)-[r]-(b:`SCROOGE`) RETURN COUNT(r) > 0 AS edgeExists:result:True -2024-10-30 06:05:53,593 - lightrag - INFO - get_edge:query: - MATCH (source:`GHOST`)-[r]-(target:`SCROOGE`) - RETURN r - :result:, ) type='DIRECTED' properties={'keywords': '"reflection, self-discovery""spiritual guidance, transformation"', 'description': '"The Ghost guides Scrooge through reflections of his past, influencing his journey toward redemption.""The Ghost takes Scrooge on a journey to teach him lessons about generosity and compassion towards others."', 'weight': 17.0, 'source_id': 'chunk-c6c248858d1b13ab7ee9ca13c1aeed6bchunk-e7637ff18c5ded77a68cce0a87883fad'}> -2024-10-30 06:05:53,732 - lightrag - INFO - _check_edge_existence:query:MATCH (a:`GHOST`)-[r]-(b:`JACOB MARLEY`) RETURN COUNT(r) > 0 AS edgeExists:result:True -2024-10-30 06:05:53,863 - lightrag - INFO - get_edge:query: - MATCH (source:`GHOST`)-[r]-(target:`JACOB MARLEY`) - RETURN r - :result:, ) type='DIRECTED' properties={'keywords': '"identity, remorse"', 'description': '"The Ghost is revealed to be Jacob Marley, who embodies the regret of a wasted life and the importance of personal responsibility."', 'weight': 10.0, 'source_id': 'chunk-359187e7571bda4b0b08b2e0b6581e52'}> -2024-10-30 06:05:54,004 - lightrag - INFO - _check_edge_existence:query:MATCH (a:`JACOB MARLEY`)-[r]-(b:`SCROOGE`) RETURN COUNT(r) > 0 AS edgeExists:result:True -2024-10-30 06:05:54,141 - lightrag - INFO - get_edge:query: - MATCH (source:`JACOB MARLEY`)-[r]-(target:`SCROOGE`) - RETURN r - :result:, ) type='DIRECTED' properties={'keywords': '"catalyst for change, supernatural guidance""past influence, warning""redemption, moral lesson""supernatural encounter, past ties""transformation, influence""warning, transformation"', 'description': '"Jacob Marley is the spirit who brings forth the need for Scrooge to change his ways, impacting his character development.""Scrooge confronts Jacob Marley, his former business partner, who returns as a ghost to influence Scrooge\'s perspective on life and his actions.""Scrooge converses with the ghost of Jacob Marley, who tries to guide him toward understanding the importance of compassion and the consequences of his actions.""Scrooge interacts with Jacob Marley, who serves as a critical warning for Scrooge to change his ways before it\'s too late.""Scrooge reflects on Jacob Marley’s past warnings, which serve as a catalyst for his transformation.""Scrooge\'s transformation is prompted by the appearance and message of Jacob Marley, his former business partner."', 'weight': 54.0, 'source_id': 'chunk-90b95db5c53e4364a6bee36b7aa4d70fchunk-1aa50206d02ed89418f65f97c6441d1cchunk-02baee20cc9463dbe08170a8e1043e32chunk-91572b3cd42786ba4cb2f180ca25cbf4chunk-da2472b4ef2a535b62908f14d0fb0ca9chunk-359187e7571bda4b0b08b2e0b6581e52'}> -2024-10-30 06:05:54,291 - lightrag - INFO - _check_edge_existence:query:MATCH (a:`GHOST`)-[r]-(b:`MANKIND`) RETURN COUNT(r) > 0 AS edgeExists:result:True -2024-10-30 06:05:54,435 - lightrag - INFO - get_edge:query: - MATCH (source:`GHOST`)-[r]-(target:`MANKIND`) - RETURN r - :result:, ) type='DIRECTED' properties={'keywords': '"moral duty, call to action"', 'description': '"The Ghost emphasizes that Mankind was his true business in life, urging Scrooge to focus on the welfare of others."', 'weight': 9.0, 'source_id': 'chunk-359187e7571bda4b0b08b2e0b6581e52'}> -2024-10-30 06:05:54,575 - lightrag - INFO - _check_edge_existence:query:MATCH (a:`CHRISTMAS EVES`)-[r]-(b:`SCROOGE`) RETURN COUNT(r) > 0 AS edgeExists:result:True -2024-10-30 06:05:54,705 - lightrag - INFO - get_edge:query: - MATCH (source:`CHRISTMAS EVES`)-[r]-(target:`SCROOGE`) - RETURN r - :result:, ) type='DIRECTED' properties={'keywords': '"time of reflection, redemption"', 'description': '"Christmas Eves symbolize a critical time for self-reflection and understanding one\'s past decisions, linking to Scrooge\'s journey of redemption."', 'weight': 7.0, 'source_id': 'chunk-359187e7571bda4b0b08b2e0b6581e52'}> -2024-10-30 06:05:54,843 - lightrag - INFO - _check_edge_existence:query:MATCH (a:`ETERNAL CHAIN`)-[r]-(b:`GHOST`) RETURN COUNT(r) > 0 AS edgeExists:result:True -2024-10-30 06:05:54,981 - lightrag - INFO - get_edge:query: - MATCH (source:`ETERNAL CHAIN`)-[r]-(target:`GHOST`) - RETURN r - :result:, ) type='DIRECTED' properties={'keywords': '"burden, regret"', 'description': '"The Ghost describes the Eternal Chain as a symbol of the burdens he carries due to his life choices, emphasizing the consequences of neglecting humanity."', 'weight': 9.0, 'source_id': 'chunk-359187e7571bda4b0b08b2e0b6581e52'}> -2024-10-30 06:05:55,130 - lightrag - INFO - _check_edge_existence:query:MATCH (a:`STAR`)-[r]-(b:`WISE MEN`) RETURN COUNT(r) > 0 AS edgeExists:result:True -2024-10-30 06:05:55,270 - lightrag - INFO - get_edge:query: - MATCH (source:`STAR`)-[r]-(target:`WISE MEN`) - RETURN r - :result:, ) type='DIRECTED' properties={'keywords': '"guidance, generosity"', 'description': '"The Star guided the Wise Men to recognize the importance of giving, which relates to the values that the Ghost tries to impart to Scrooge."', 'weight': 7.0, 'source_id': 'chunk-359187e7571bda4b0b08b2e0b6581e52'}> -2024-10-30 06:05:55,416 - lightrag - INFO - _check_edge_existence:query:MATCH (a:`FELLOW-BEINGS`)-[r]-(b:`SCROOGE`) RETURN COUNT(r) > 0 AS edgeExists:result:True -2024-10-30 06:05:55,548 - lightrag - INFO - get_edge:query: - MATCH (source:`FELLOW-BEINGS`)-[r]-(target:`SCROOGE`) - RETURN r - :result:, ) type='DIRECTED' properties={'keywords': '"neglect, realization"', 'description': '"Scrooge is confronted with his past choices to ignore Fellow-beings, leading to a realization of his moral failures."', 'weight': 8.0, 'source_id': 'chunk-359187e7571bda4b0b08b2e0b6581e52'}> -2024-10-30 06:05:55,689 - lightrag - INFO - _check_edge_existence:query:MATCH (a:`CHRISTMAS SPIRIT`)-[r]-(b:`GHOST`) RETURN COUNT(r) > 0 AS edgeExists:result:True -2024-10-30 06:05:55,821 - lightrag - INFO - get_edge:query: - MATCH (source:`CHRISTMAS SPIRIT`)-[r]-(target:`GHOST`) - RETURN r - :result:, ) type='DIRECTED' properties={'keywords': '"values, transformation"', 'description': '"The Ghost embodies the Christmas Spirit\'s values of compassion and kindness, urging Scrooge to reconsider his way of living."', 'weight': 9.0, 'source_id': 'chunk-359187e7571bda4b0b08b2e0b6581e52'}> -2024-10-30 06:05:55,961 - lightrag - INFO - _check_edge_existence:query:MATCH (a:`GHOST`)-[r]-(b:`SPECTRE`) RETURN COUNT(r) > 0 AS edgeExists:result:True -2024-10-30 06:05:56,096 - lightrag - INFO - get_edge:query: - MATCH (source:`GHOST`)-[r]-(target:`SPECTRE`) - RETURN r - :result:, ) type='DIRECTED' properties={'keywords': '"identity, motivation"', 'description': '"The Spectre is synonymous with the Ghost, representing the collective spirit urging Scrooge to change his ways."', 'weight': 10.0, 'source_id': 'chunk-359187e7571bda4b0b08b2e0b6581e52'}> -2024-10-30 06:05:56,237 - lightrag - INFO - _check_edge_existence:query:MATCH (a:`JACOB MARLEY`)-[r]-(b:`THE THREE SPIRITS`) RETURN COUNT(r) > 0 AS edgeExists:result:True -2024-10-30 06:05:56,375 - lightrag - INFO - get_edge:query: - MATCH (source:`JACOB MARLEY`)-[r]-(target:`THE THREE SPIRITS`) - RETURN r - :result:, ) type='DIRECTED' properties={'keywords': '"guidance, redemption"', 'description': '"Jacob Marley indicates that Scrooge will be visited by The Three Spirits to offer him guidance and the chance for redemption."', 'weight': 8.0, 'source_id': 'chunk-cb661c37436355ccec2769b1d0350c5f'}> -2024-10-30 06:05:56,517 - lightrag - INFO - _check_edge_existence:query:MATCH (a:`SCROOGE`)-[r]-(b:`THE GHOST`) RETURN COUNT(r) > 0 AS edgeExists:result:True -2024-10-30 06:05:56,652 - lightrag - INFO - get_edge:query: - MATCH (source:`SCROOGE`)-[r]-(target:`THE GHOST`) - RETURN r - :result:, ) type='DIRECTED' properties={'keywords': '"guidance, transformation""memory, influence""reflection, guidance""self-reflection, transformation"', 'description': '"Scrooge\'s engagement with The Ghost prompts a significant emotional and psychological transformation as he confronts his past.""The Ghost guides Scrooge through visions of his past, forcing him to confront his choices and their consequences.""The Ghost influences Scrooge\'s reflections on his past and his current emotions regarding Christmas festivities.""The Ghost serves as a catalyst for Scrooge\'s reflections, guiding him to confront his past and feelings about Christmas."', 'weight': 35.0, 'source_id': 'chunk-da2472b4ef2a535b62908f14d0fb0ca9chunk-43c9bee23adfa77aa9dedd22401bba7dchunk-54bdd22db1f84a965b5f4c06c9216d8dchunk-8590d9263cd2cd4fa583c432fc54e6c3'}> -2024-10-30 06:05:56,793 - lightrag - INFO - _check_edge_existence:query:MATCH (a:`SCROOGE`)-[r]-(b:`THE PHANTOM VOICES`) RETURN COUNT(r) > 0 AS edgeExists:result:True -2024-10-30 06:05:56,930 - lightrag - INFO - get_edge:query: - MATCH (source:`SCROOGE`)-[r]-(target:`THE PHANTOM VOICES`) - RETURN r - :result:, ) type='DIRECTED' properties={'keywords': '"regret, lost opportunities"', 'description': '"Scrooge hears the lamentations of The Phantom Voices, reflecting his connection to the spirits of the lost and the consequences of his life choices."', 'weight': 6.0, 'source_id': 'chunk-cb661c37436355ccec2769b1d0350c5f'}> -2024-10-30 06:05:57,070 - lightrag - INFO - _check_edge_existence:query:MATCH (a:`SCROOGE`)-[r]-(b:`THE WINDOW`) RETURN COUNT(r) > 0 AS edgeExists:result:True -2024-10-30 06:05:57,205 - lightrag - INFO - get_edge:query: - MATCH (source:`SCROOGE`)-[r]-(target:`THE WINDOW`) - RETURN r - :result:, ) type='DIRECTED' properties={'keywords': '"curiosity, fear"', 'description': '"Scrooge approaches The Window, which acts as a portal to the outside world and the supernatural, illustrating his curiosity and fear."', 'weight': 5.0, 'source_id': 'chunk-cb661c37436355ccec2769b1d0350c5f'}> -2024-10-30 06:05:57,344 - lightrag - INFO - _check_edge_existence:query:MATCH (a:`MARLEY'S GHOST`)-[r]-(b:`THE CHAIN`) RETURN COUNT(r) > 0 AS edgeExists:result:True -2024-10-30 06:05:57,478 - lightrag - INFO - get_edge:query: - MATCH (source:`MARLEY'S GHOST`)-[r]-(target:`THE CHAIN`) - RETURN r - :result:, ) type='DIRECTED' properties={'keywords': '"regret, warning"', 'description': '"Marley\'s Ghost is bound by The Chain, which symbolizes his regrets and serves as a warning to Scrooge about the consequences of his own actions."', 'weight': 9.0, 'source_id': 'chunk-cb661c37436355ccec2769b1d0350c5f'}> -2024-10-30 06:05:57,616 - lightrag - INFO - _check_edge_existence:query:MATCH (a:`SCROOGE`)-[r]-(b:`THE CLOCK`) RETURN COUNT(r) > 0 AS edgeExists:result:True -2024-10-30 06:05:57,746 - lightrag - INFO - get_edge:query: - MATCH (source:`SCROOGE`)-[r]-(target:`THE CLOCK`) - RETURN r - :result:, ) type='DIRECTED' properties={'keywords': '"time distortion, confusion"', 'description': '"Scrooge\'s interaction with the faulty clock symbolizes his disconnection from time and reality, as he struggles to comprehend his experiences."', 'weight': 6.0, 'source_id': 'chunk-cb661c37436355ccec2769b1d0350c5f'}> -2024-10-30 06:05:57,879 - lightrag - INFO - _check_edge_existence:query:MATCH (a:`SCROOGE`)-[r]-(b:`THE DARKNESS`) RETURN COUNT(r) > 0 AS edgeExists:result:True -2024-10-30 06:05:58,012 - lightrag - INFO - get_edge:query: - MATCH (source:`SCROOGE`)-[r]-(target:`THE DARKNESS`) - RETURN r - :result:, ) type='DIRECTED' properties={'keywords': '"internal struggle, unknown"', 'description': '"Scrooge finds himself enveloped by The Darkness, representing his internal struggle and the unknown future he faces."', 'weight': 6.0, 'source_id': 'chunk-cb661c37436355ccec2769b1d0350c5f'}> -2024-10-30 06:05:58,156 - lightrag - INFO - _check_edge_existence:query:MATCH (a:`CLOCK`)-[r]-(b:`SCROOGE`) RETURN COUNT(r) > 0 AS edgeExists:result:True -2024-10-30 06:05:58,288 - lightrag - INFO - get_edge:query: - MATCH (source:`CLOCK`)-[r]-(target:`SCROOGE`) - RETURN r - :result:, ) type='DIRECTED' properties={'keywords': '"time symbolism, anxiety"', 'description': '"Scrooge\'s observations of the Clock reflect his anxiety over time and the supernatural events unfolding around him."', 'weight': 7.0, 'source_id': 'chunk-c7b10789a9cb0af6c553730b29bd9034'}> -2024-10-30 06:05:58,428 - lightrag - INFO - _check_edge_existence:query:MATCH (a:`SCROOGE`)-[r]-(b:`SPIRIT`) RETURN COUNT(r) > 0 AS edgeExists:result:True -2024-10-30 06:05:58,563 - lightrag - INFO - get_edge:query: - MATCH (source:`SCROOGE`)-[r]-(target:`SPIRIT`) - RETURN r - :result:, ) type='DIRECTED' properties={'keywords': '"guidance, emotional journey""guidance, transformation""personal growth, spiritual journey""reflection, guidance"', 'description': '"Scrooge engages with the Spirit, who guides him through reflections on his life and warns him of societal issues.""Scrooge learns from the Spirit about the consequences of his actions and the sentiments evoked by death, leading to personal growth.""Scrooge’s interaction with the Spirit emphasizes the emotional weight of his past decisions and feelings as they relate to his transformation.""The Spirit directly influences Scrooge’s transformation and highlights the importance of compassion in human life."', 'weight': 34.0, 'source_id': 'chunk-02baee20cc9463dbe08170a8e1043e32chunk-bb21d58d36c6306fd8810ddd51c4a971chunk-83ac129dc9b56f84c46760d153d68e93chunk-e7637ff18c5ded77a68cce0a87883fad'}> -2024-10-30 06:05:58,702 - lightrag - INFO - _check_edge_existence:query:MATCH (a:`GHOST OF CHRISTMAS PAST`)-[r]-(b:`WINTER DAY`) RETURN COUNT(r) > 0 AS edgeExists:result:True -2024-10-30 06:05:58,834 - lightrag - INFO - get_edge:query: - MATCH (source:`GHOST OF CHRISTMAS PAST`)-[r]-(target:`WINTER DAY`) - RETURN r - :result:, ) type='DIRECTED' properties={'keywords': '"nostalgia, memory"', 'description': '"The Ghost leads Scrooge to experience a winter day from his memories, emphasizing feelings of nostalgia and longing."', 'weight': 9.0, 'source_id': 'chunk-bb21d58d36c6306fd8810ddd51c4a971'}> -2024-10-30 06:05:58,973 - lightrag - INFO - _check_edge_existence:query:MATCH (a:`MARKET-TOWN`)-[r]-(b:`SCROOGE`) RETURN COUNT(r) > 0 AS edgeExists:result:True -2024-10-30 06:05:59,107 - lightrag - INFO - get_edge:query: - MATCH (source:`MARKET-TOWN`)-[r]-(target:`SCROOGE`) - RETURN r - :result:, ) type='DIRECTED' properties={'keywords': '"nostalgia, memory"', 'description': '"Scrooge recognizes the Market-Town, eliciting fond memories from his childhood and emphasizing his emotional response to the past."', 'weight': 7.0, 'source_id': 'chunk-bb21d58d36c6306fd8810ddd51c4a971'}> -2024-10-30 06:05:59,245 - lightrag - INFO - _check_edge_existence:query:MATCH (a:`BOYS`)-[r]-(b:`SCROOGE`) RETURN COUNT(r) > 0 AS edgeExists:result:True -2024-10-30 06:05:59,379 - lightrag - INFO - get_edge:query: - MATCH (source:`BOYS`)-[r]-(target:`SCROOGE`) - RETURN r - :result:, ) type='DIRECTED' properties={'keywords': '"joy, childhood memories"', 'description': '"Scrooge feels joy upon seeing the boys, evoking memories of childhood experiences and emotions associated with them."', 'weight': 7.0, 'source_id': 'chunk-bb21d58d36c6306fd8810ddd51c4a971'}> -2024-10-30 06:05:59,523 - lightrag - INFO - _check_edge_existence:query:MATCH (a:`BOYS`)-[r]-(b:`SHAGGY PONIES`) RETURN COUNT(r) > 0 AS edgeExists:result:True -2024-10-30 06:05:59,660 - lightrag - INFO - get_edge:query: - MATCH (source:`BOYS`)-[r]-(target:`SHAGGY PONIES`) - RETURN r - :result:, ) type='DIRECTED' properties={'keywords': '"playfulness, childhood"', 'description': '"The boys interact with the shaggy ponies, highlighting the carefree and playful nature of youth in Scrooge\'s memories."', 'weight': 6.0, 'source_id': 'chunk-bb21d58d36c6306fd8810ddd51c4a971'}> -2024-10-30 06:05:59,793 - lightrag - INFO - _check_edge_existence:query:MATCH (a:`BRIDGE`)-[r]-(b:`SCROOGE`) RETURN COUNT(r) > 0 AS edgeExists:result:True -2024-10-30 06:05:59,928 - lightrag - INFO - get_edge:query: - MATCH (source:`BRIDGE`)-[r]-(target:`SCROOGE`) - RETURN r - :result:, ) type='DIRECTED' properties={'keywords': '"memory, landmark"', 'description': '"The bridge serves as a significant landmark in Scrooge\'s past, reminding him of his childhood and former happiness."', 'weight': 7.0, 'source_id': 'chunk-bb21d58d36c6306fd8810ddd51c4a971'}> -2024-10-30 06:06:00,066 - lightrag - INFO - _check_edge_existence:query:MATCH (a:`CHURCH`)-[r]-(b:`SCROOGE`) RETURN COUNT(r) > 0 AS edgeExists:result:True -2024-10-30 06:06:00,202 - lightrag - INFO - get_edge:query: - MATCH (source:`CHURCH`)-[r]-(target:`SCROOGE`) - RETURN r - :result:, ) type='DIRECTED' properties={'keywords': '"community, contrast"', 'description': '"The church symbolizes the community and settings of Scrooge\'s past, highlighting the contrast between then and now."', 'weight': 8.0, 'source_id': 'chunk-bb21d58d36c6306fd8810ddd51c4a971'}> -2024-10-30 06:06:00,339 - lightrag - INFO - _check_edge_existence:query:MATCH (a:`SCROOGE`)-[r]-(b:`WINDING RIVER`) RETURN COUNT(r) > 0 AS edgeExists:result:True -2024-10-30 06:06:00,476 - lightrag - INFO - get_edge:query: - MATCH (source:`SCROOGE`)-[r]-(target:`WINDING RIVER`) - RETURN r - :result:, ) type='DIRECTED' properties={'keywords': '"nostalgia, memory"', 'description': '"The winding river evokes memories and emotions for Scrooge, connecting him to his past experiences and places."', 'weight': 8.0, 'source_id': 'chunk-bb21d58d36c6306fd8810ddd51c4a971'}> -2024-10-30 06:06:00,615 - lightrag - INFO - _check_edge_existence:query:MATCH (a:`GHOST OF CHRISTMAS PAST`)-[r]-(b:`SCROOGE'S MEMORIES`) RETURN COUNT(r) > 0 AS edgeExists:result:True -2024-10-30 06:06:00,750 - lightrag - INFO - get_edge:query: - MATCH (source:`GHOST OF CHRISTMAS PAST`)-[r]-(target:`SCROOGE'S MEMORIES`) - RETURN r - :result:, ) type='DIRECTED' properties={'keywords': '"memory, confrontation"', 'description': '"The Ghost facilitates Scrooge\'s recollection of his memories, allowing him to confront his past choices."', 'weight': 9.0, 'source_id': 'chunk-bb21d58d36c6306fd8810ddd51c4a971'}> -2024-10-30 06:06:00,888 - lightrag - INFO - _check_edge_existence:query:MATCH (a:`SCROOGE`)-[r]-(b:`THE SPIRIT`) RETURN COUNT(r) > 0 AS edgeExists:result:True -2024-10-30 06:06:01,021 - lightrag - INFO - get_edge:query: - MATCH (source:`SCROOGE`)-[r]-(target:`THE SPIRIT`) - RETURN r - :result:, ) type='DIRECTED' properties={'keywords': '"guidance, transformation""moral guidance, transformation""self-reflection, transformation""supernatural guidance, self-reflection""supernatural intervention, guidance"', 'description': '"Scrooge engages with the Spirit as it reveals memories that prompt significant self-reflection and consideration of change.""Scrooge is guided by the Spirit, who shows him different scenes related to the joy and struggles of Christmas, aiming to change his heart.""The Spirit challenges Scrooge\'s perspective on life, urging him to consider the implications of his actions in light of death.""The Spirit represents an upcoming change in Scrooge\'s life, aiming to guide him towards redemption.""The Spirit represents moral lessons and urges Scrooge to change his ways for a better future."', 'weight': 47.0, 'source_id': 'chunk-b2f98bc7abb0c67d4c86055c7fd72218chunk-e1f29eeadc1d8ab46dc8a0bbd3c56b64chunk-91572b3cd42786ba4cb2f180ca25cbf4chunk-da2472b4ef2a535b62908f14d0fb0ca9chunk-91614df5cb74cbe5e109a338a82041e9'}> -2024-10-30 06:06:01,155 - lightrag - INFO - _check_edge_existence:query:MATCH (a:`ALI BABA`)-[r]-(b:`SCROOGE`) RETURN COUNT(r) > 0 AS edgeExists:result:True -2024-10-30 06:06:01,291 - lightrag - INFO - get_edge:query: - MATCH (source:`ALI BABA`)-[r]-(target:`SCROOGE`) - RETURN r - :result:, ) type='DIRECTED' properties={'keywords': '"nostalgia, childhood stories"', 'description': '"Scrooge recalls Ali Baba while reflecting on memories of Christmas, indicating a strong personal connection to the story and its impact on him."', 'weight': 8.0, 'source_id': 'chunk-8590d9263cd2cd4fa583c432fc54e6c3'}> -2024-10-30 06:06:01,431 - lightrag - INFO - _check_edge_existence:query:MATCH (a:`SCROOGE`)-[r]-(b:`VALENTINE`) RETURN COUNT(r) > 0 AS edgeExists:result:True -2024-10-30 06:06:01,564 - lightrag - INFO - get_edge:query: - MATCH (source:`SCROOGE`)-[r]-(target:`VALENTINE`) - RETURN r - :result:, ) type='DIRECTED' properties={'keywords': '"family memories, nostalgia"', 'description': '"Scrooge\'s mention of Valentine signifies his memories of familial ties and childhood experiences during Christmas."', 'weight': 6.0, 'source_id': 'chunk-8590d9263cd2cd4fa583c432fc54e6c3'}> -2024-10-30 06:06:01,698 - lightrag - INFO - _check_edge_existence:query:MATCH (a:`ORSON`)-[r]-(b:`VALENTINE`) RETURN COUNT(r) > 0 AS edgeExists:result:True -2024-10-30 06:06:01,833 - lightrag - INFO - get_edge:query: - MATCH (source:`ORSON`)-[r]-(target:`VALENTINE`) - RETURN r - :result:, ) type='DIRECTED' properties={'keywords': '"family, nostalgia"', 'description': '"Orson and Valentine are brothers in the stories remembered by Scrooge, representing familial bonds in his past."', 'weight': 8.0, 'source_id': 'chunk-8590d9263cd2cd4fa583c432fc54e6c3'}> -2024-10-30 06:06:01,974 - lightrag - INFO - _check_edge_existence:query:MATCH (a:`CHILD`)-[r]-(b:`SCROOGE`) RETURN COUNT(r) > 0 AS edgeExists:result:True -2024-10-30 06:06:02,110 - lightrag - INFO - get_edge:query: - MATCH (source:`CHILD`)-[r]-(target:`SCROOGE`) - RETURN r - :result:, ) type='DIRECTED' properties={'keywords': '"self-reflection, past connection"', 'description': '"Scrooge sees his younger self in the solitary child, sparking deep emotional reflections about his past and choices."', 'weight': 8.0, 'source_id': 'chunk-8590d9263cd2cd4fa583c432fc54e6c3'}> -2024-10-30 06:06:02,248 - lightrag - INFO - _check_edge_existence:query:MATCH (a:`ALI BABA`)-[r]-(b:`ROBIN CRUSOE`) RETURN COUNT(r) > 0 AS edgeExists:result:True -2024-10-30 06:06:02,384 - lightrag - INFO - get_edge:query: - MATCH (source:`ALI BABA`)-[r]-(target:`ROBIN CRUSOE`) - RETURN r - :result:, ) type='DIRECTED' properties={'keywords': '"literary connection, childhood memories"', 'description': '"Both Ali Baba and Robin Crusoe represent figures from stories that shaped Scrooge\'s childhood memories and sentiments towards Christmas."', 'weight': 7.0, 'source_id': 'chunk-8590d9263cd2cd4fa583c432fc54e6c3'}> -2024-10-30 06:06:02,525 - lightrag - INFO - _check_edge_existence:query:MATCH (a:`MANSION`)-[r]-(b:`SCROOGE`) RETURN COUNT(r) > 0 AS edgeExists:result:True -2024-10-30 06:06:02,659 - lightrag - INFO - get_edge:query: - MATCH (source:`MANSION`)-[r]-(target:`SCROOGE`) - RETURN r - :result:, ) type='DIRECTED' properties={'keywords': '"symbolism, emotional state"', 'description': '"The Mansion symbolizes the neglect and decay that parallels Scrooge\'s own emotional state and memories of his past."', 'weight': 8.0, 'source_id': 'chunk-8590d9263cd2cd4fa583c432fc54e6c3'}> -2024-10-30 06:06:02,796 - lightrag - INFO - _check_edge_existence:query:MATCH (a:`MANSION`)-[r]-(b:`THE GHOST`) RETURN COUNT(r) > 0 AS edgeExists:result:True -2024-10-30 06:06:02,931 - lightrag - INFO - get_edge:query: - MATCH (source:`MANSION`)-[r]-(target:`THE GHOST`) - RETURN r - :result:, ) type='DIRECTED' properties={'keywords': '"guidance, contrast"', 'description': '"The Ghost guides Scrooge through the Mansion, illustrating the contrast between past warmth and present decay."', 'weight': 9.0, 'source_id': 'chunk-8590d9263cd2cd4fa583c432fc54e6c3'}> -2024-10-30 06:06:03,068 - lightrag - INFO - _check_edge_existence:query:MATCH (a:`FRIDAY`)-[r]-(b:`ROBIN CRUSOE`) RETURN COUNT(r) > 0 AS edgeExists:result:True -2024-10-30 06:06:03,204 - lightrag - INFO - get_edge:query: - MATCH (source:`FRIDAY`)-[r]-(target:`ROBIN CRUSOE`) - RETURN r - :result:, ) type='DIRECTED' properties={'keywords': '"friendship, adventure"', 'description': '"Friday serves alongside Robin Crusoe in the stories remembered by Scrooge, representing loyalty and friendship in adventure."', 'weight': 7.0, 'source_id': 'chunk-8590d9263cd2cd4fa583c432fc54e6c3'}> -2024-10-30 06:06:03,343 - lightrag - INFO - _check_edge_existence:query:MATCH (a:`SCROOGE`)-[r]-(b:`THE PARROT`) RETURN COUNT(r) > 0 AS edgeExists:result:True -2024-10-30 06:06:03,477 - lightrag - INFO - get_edge:query: - MATCH (source:`SCROOGE`)-[r]-(target:`THE PARROT`) - RETURN r - :result:, ) type='DIRECTED' properties={'keywords': '"nostalgia, whimsy"', 'description': '"Scrooge recalls the Parrot associated with his memories of Robin Crusoe, highlighting the whimsical and nostalgic aspects of his reflections."', 'weight': 6.0, 'source_id': 'chunk-8590d9263cd2cd4fa583c432fc54e6c3'}> -2024-10-30 06:06:03,615 - lightrag - INFO - _check_edge_existence:query:MATCH (a:`CHILD`)-[r]-(b:`THE SPIRIT`) RETURN COUNT(r) > 0 AS edgeExists:result:True -2024-10-30 06:06:03,750 - lightrag - INFO - get_edge:query: - MATCH (source:`CHILD`)-[r]-(target:`THE SPIRIT`) - RETURN r - :result:, ) type='DIRECTED' properties={'keywords': '"remembrance, neglect"', 'description': '"The Spirit points Scrooge to the Child, emphasizing themes of neglect, remembrance, and the importance of past experiences."', 'weight': 8.0, 'source_id': 'chunk-8590d9263cd2cd4fa583c432fc54e6c3'}> -2024-10-30 06:06:03,887 - lightrag - INFO - _check_edge_existence:query:MATCH (a:`DICK WILKINS`)-[r]-(b:`FEZZIWIG`) RETURN COUNT(r) > 0 AS edgeExists:result:True -2024-10-30 06:06:04,024 - lightrag - INFO - get_edge:query: - MATCH (source:`DICK WILKINS`)-[r]-(target:`FEZZIWIG`) - RETURN r - :result:, ) type='DIRECTED' properties={'keywords': '"apprenticeship, camaraderie"', 'description': '"Fezziwig and Dick Wilkins are connected through their roles in Scrooge\'s past, representing camaraderie and joyful experiences at work."', 'weight': 7.0, 'source_id': 'chunk-c6c248858d1b13ab7ee9ca13c1aeed6b'}> -2024-10-30 06:06:04,163 - lightrag - INFO - _check_edge_existence:query:MATCH (a:`DICK WILKINS`)-[r]-(b:`SCROOGE`) RETURN COUNT(r) > 0 AS edgeExists:result:True -2024-10-30 06:06:04,296 - lightrag - INFO - get_edge:query: - MATCH (source:`DICK WILKINS`)-[r]-(target:`SCROOGE`) - RETURN r - :result:, ) type='DIRECTED' properties={'keywords': '"friendship, apprenticeship"', 'description': '"Scrooge recalls his friendship with Dick Wilkins, highlighting the connections of youth and support during their apprenticeship."', 'weight': 7.0, 'source_id': 'chunk-c6c248858d1b13ab7ee9ca13c1aeed6b'}> -2024-10-30 06:06:04,441 - lightrag - INFO - _check_edge_existence:query:MATCH (a:`CHRISTMAS-TIME`)-[r]-(b:`SCROOGE`) RETURN COUNT(r) > 0 AS edgeExists:result:True -2024-10-30 06:06:04,575 - lightrag - INFO - get_edge:query: - MATCH (source:`CHRISTMAS-TIME`)-[r]-(target:`SCROOGE`) - RETURN r - :result:, ) type='DIRECTED' properties={'keywords': '"cynicism, holiday spirit conflict"', 'description': '"Scrooge views Christmas-time as a burden rather than a celebration, contrasting with the feelings of others around him."', 'weight': 9.0, 'source_id': 'chunk-5dac41b3f9eeaf794f0147400b1718cd'}> -2024-10-30 06:06:04,712 - lightrag - INFO - _check_edge_existence:query:MATCH (a:`SCROOGE`)-[r]-(b:`THE CITY`) RETURN COUNT(r) > 0 AS edgeExists:result:True -2024-10-30 06:06:04,847 - lightrag - INFO - get_edge:query: - MATCH (source:`SCROOGE`)-[r]-(target:`THE CITY`) - RETURN r - :result:, ) type='DIRECTED' properties={'keywords': '"disconnection, personal evolution""reflection, urban life"', 'description': '"Scrooge\'s reflections in the City highlight his relationship with his past and the contrast of his current life.""Scrooge\'s relationship with The City is marked by detachment, representing his lost connection to his past self and experiences."', 'weight': 10.0, 'source_id': 'chunk-bb21d58d36c6306fd8810ddd51c4a971chunk-c6c248858d1b13ab7ee9ca13c1aeed6b'}> -2024-10-30 06:06:04,984 - lightrag - INFO - _check_edge_existence:query:MATCH (a:`DICK WILKINS`)-[r]-(b:`EBENEZER SCROOGE`) RETURN COUNT(r) > 0 AS edgeExists:result:True -2024-10-30 06:06:05,115 - lightrag - INFO - get_edge:query: - MATCH (source:`DICK WILKINS`)-[r]-(target:`EBENEZER SCROOGE`) - RETURN r - :result:, ) type='DIRECTED' properties={'keywords': '"nostalgia, past friendship"', 'description': '"Scrooge remembers Dick Wilkins fondly, showing a connection from their past as apprentices together."', 'weight': 8.0, 'source_id': 'chunk-8bc1edd983869352d14cf0886a9175a7'}> -2024-10-30 06:06:05,253 - lightrag - INFO - _check_edge_existence:query:MATCH (a:`EBENEZER SCROOGE`)-[r]-(b:`FEZZIWIG`) RETURN COUNT(r) > 0 AS edgeExists:result:True -2024-10-30 06:06:05,387 - lightrag - INFO - get_edge:query: - MATCH (source:`EBENEZER SCROOGE`)-[r]-(target:`FEZZIWIG`) - RETURN r - :result:, ) type='DIRECTED' properties={'keywords': '"mentorship, celebration""reflection, mentorship"', 'description': '"Fezziwig created a memorable and joyful atmosphere for Scrooge and his fellow apprentices during the celebration.""Scrooge reflects on his positive memories of Fezziwig, contributing to the theme of mentorship and joy in the past."', 'weight': 17.0, 'source_id': 'chunk-8bc1edd983869352d14cf0886a9175a7'}> -2024-10-30 06:06:05,527 - lightrag - INFO - _check_edge_existence:query:MATCH (a:`CHRISTMAS EVE`)-[r]-(b:`FEZZIWIG`) RETURN COUNT(r) > 0 AS edgeExists:result:True -2024-10-30 06:06:05,662 - lightrag - INFO - get_edge:query: - MATCH (source:`CHRISTMAS EVE`)-[r]-(target:`FEZZIWIG`) - RETURN r - :result:, ) type='DIRECTED' properties={'keywords': '"event significance, festivity"', 'description': '"Fezziwig\'s celebrations take place on Christmas Eve, highlighting the special significance of this event."', 'weight': 10.0, 'source_id': 'chunk-8bc1edd983869352d14cf0886a9175a7'}> -2024-10-30 06:06:05,800 - lightrag - INFO - _check_edge_existence:query:MATCH (a:`FEZZIWIG`)-[r]-(b:`MRS. FEZZIWIG`) RETURN COUNT(r) > 0 AS edgeExists:result:True -2024-10-30 06:06:05,935 - lightrag - INFO - get_edge:query: - MATCH (source:`FEZZIWIG`)-[r]-(target:`MRS. FEZZIWIG`) - RETURN r - :result:, ) type='DIRECTED' properties={'keywords': '"festivity, companionship""partnership, celebration"', 'description': '"Fezziwig and Mrs. Fezziwig dance together, showcasing their joyful relationship and the spirit of togetherness during Christmas.""Fezziwig and Mrs. Fezziwig work together to create a festive and welcoming environment during the domestic ball.""Mrs. Fezziwig partners with Fezziwig in the festivities, highlighting their companionship during the celebrations."', 'weight': 25.0, 'source_id': 'chunk-b2f98bc7abb0c67d4c86055c7fd72218chunk-89777b838d5447c7bd1ec11282c4ee89chunk-8bc1edd983869352d14cf0886a9175a7'}> -2024-10-30 06:06:06,076 - lightrag - INFO - _check_edge_existence:query:MATCH (a:`FEZZIWIG`)-[r]-(b:`THE DANCERS`) RETURN COUNT(r) > 0 AS edgeExists:result:True -2024-10-30 06:06:06,228 - lightrag - INFO - get_edge:query: - MATCH (source:`FEZZIWIG`)-[r]-(target:`THE DANCERS`) - RETURN r - :result:, ) type='DIRECTED' properties={'keywords': '"celebration, community"', 'description': '"The Dancers participate in the lively celebrations orchestrated by Fezziwig, showcasing the joyous atmosphere of the event."', 'weight': 9.0, 'source_id': 'chunk-8bc1edd983869352d14cf0886a9175a7'}> -2024-10-30 06:06:06,377 - lightrag - INFO - _check_edge_existence:query:MATCH (a:`FEZZIWIG`)-[r]-(b:`THE FIDDLER`) RETURN COUNT(r) > 0 AS edgeExists:result:True -2024-10-30 06:06:06,515 - lightrag - INFO - get_edge:query: - MATCH (source:`FEZZIWIG`)-[r]-(target:`THE FIDDLER`) - RETURN r - :result:, ) type='DIRECTED' properties={'keywords': '"musical contribution, festive atmosphere"', 'description': '"The Fiddler provides music for the dance, playing a crucial role in enhancing the festive atmosphere created by Fezziwig."', 'weight': 9.0, 'source_id': 'chunk-8bc1edd983869352d14cf0886a9175a7'}> -2024-10-30 06:06:06,656 - lightrag - INFO - _check_edge_existence:query:MATCH (a:`THE THREE MISS FEZZIWIGS`)-[r]-(b:`THE YOUNG FOLLOWERS`) RETURN COUNT(r) > 0 AS edgeExists:result:True -2024-10-30 06:06:06,792 - lightrag - INFO - get_edge:query: - MATCH (source:`THE THREE MISS FEZZIWIGS`)-[r]-(target:`THE YOUNG FOLLOWERS`) - RETURN r - :result:, ) type='DIRECTED' properties={'keywords': '"community, interactions"', 'description': '"The Three Miss Fezziwigs interact with the Young Followers during the dance, highlighting the communal joy of the celebration."', 'weight': 8.0, 'source_id': 'chunk-8bc1edd983869352d14cf0886a9175a7'}> -2024-10-30 06:06:06,931 - lightrag - INFO - _check_edge_existence:query:MATCH (a:`THE COOK`)-[r]-(b:`THE HOUSEMAID`) RETURN COUNT(r) > 0 AS edgeExists:result:True -2024-10-30 06:06:07,065 - lightrag - INFO - get_edge:query: - MATCH (source:`THE COOK`)-[r]-(target:`THE HOUSEMAID`) - RETURN r - :result:, ) type='DIRECTED' properties={'keywords': '"inclusion, participation"', 'description': '"The Housemaid and The Cook are both present at Fezziwig\'s celebration, participating in the festivities and showcasing the inclusive environment."', 'weight': 7.0, 'source_id': 'chunk-8bc1edd983869352d14cf0886a9175a7'}> -2024-10-30 06:06:07,204 - lightrag - INFO - _check_edge_existence:query:MATCH (a:`THE BOY FROM OVER THE WAY`)-[r]-(b:`THE GIRL FROM NEXT DOOR`) RETURN COUNT(r) > 0 AS edgeExists:result:True -2024-10-30 06:06:07,374 - lightrag - INFO - get_edge:query: - MATCH (source:`THE BOY FROM OVER THE WAY`)-[r]-(target:`THE GIRL FROM NEXT DOOR`) - RETURN r - :result:, ) type='DIRECTED' properties={'keywords': '"youthful antics, dynamics"', 'description': '"The Boy\'s attempts to hide from The Girl demonstrate the youthful interactions and dynamics during the festive event."', 'weight': 6.0, 'source_id': 'chunk-8bc1edd983869352d14cf0886a9175a7'}> -2024-10-30 06:06:07,512 - lightrag - INFO - _check_edge_existence:query:MATCH (a:`SCROOGE`)-[r]-(b:`THE GHOST OF CHRISTMAS PAST`) RETURN COUNT(r) > 0 AS edgeExists:result:True -2024-10-30 06:06:07,648 - lightrag - INFO - get_edge:query: - MATCH (source:`SCROOGE`)-[r]-(target:`THE GHOST OF CHRISTMAS PAST`) - RETURN r - :result:, ) type='DIRECTED' properties={'keywords': '"introspection, memory"', 'description': '"The Ghost of Christmas Past guides Scrooge through recollections, prompting his introspection about his former self and choices."', 'weight': 10.0, 'source_id': 'chunk-b2f98bc7abb0c67d4c86055c7fd72218'}> -2024-10-30 06:06:07,785 - lightrag - INFO - _check_edge_existence:query:MATCH (a:`FEZZIWIG`)-[r]-(b:`THE DOMESTIC BALL`) RETURN COUNT(r) > 0 AS edgeExists:result:True -2024-10-30 06:06:07,921 - lightrag - INFO - get_edge:query: - MATCH (source:`FEZZIWIG`)-[r]-(target:`THE DOMESTIC BALL`) - RETURN r - :result:, ) type='DIRECTED' properties={'keywords': '"event organization, joy"', 'description': '"Fezziwig organizes the Domestic Ball, showcasing his ability to create joy and camaraderie among guests."', 'weight': 10.0, 'source_id': 'chunk-b2f98bc7abb0c67d4c86055c7fd72218'}> -2024-10-30 06:06:08,059 - lightrag - INFO - _check_edge_existence:query:MATCH (a:`DICK`)-[r]-(b:`SCROOGE`) RETURN COUNT(r) > 0 AS edgeExists:result:True -2024-10-30 06:06:08,196 - lightrag - INFO - get_edge:query: - MATCH (source:`DICK`)-[r]-(target:`SCROOGE`) - RETURN r - :result:, ) type='DIRECTED' properties={'keywords': '"nostalgia, friendship"', 'description': '"Scrooge remembers Dick as a part of his past, highlighting their shared experiences during happier times."', 'weight': 7.0, 'source_id': 'chunk-b2f98bc7abb0c67d4c86055c7fd72218'}> -2024-10-30 06:06:08,343 - lightrag - INFO - _check_edge_existence:query:MATCH (a:`FEZZIWIG`)-[r]-(b:`THE TWO APPRENTICES`) RETURN COUNT(r) > 0 AS edgeExists:result:True -2024-10-30 06:06:08,479 - lightrag - INFO - get_edge:query: - MATCH (source:`FEZZIWIG`)-[r]-(target:`THE TWO APPRENTICES`) - RETURN r - :result:, ) type='DIRECTED' properties={'keywords': '"gratitude, mentorship"', 'description': '"Fezziwig inspires deep gratitude and respect from his apprentices, who appreciate his kindness during their interactions at the ball."', 'weight': 8.0, 'source_id': 'chunk-b2f98bc7abb0c67d4c86055c7fd72218'}> -2024-10-30 06:06:08,623 - lightrag - INFO - _check_edge_existence:query:MATCH (a:`SCROOGE`)-[r]-(b:`THE GOLDEN IDOL`) RETURN COUNT(r) > 0 AS edgeExists:result:True -2024-10-30 06:06:08,758 - lightrag - INFO - get_edge:query: - MATCH (source:`SCROOGE`)-[r]-(target:`THE GOLDEN IDOL`) - RETURN r - :result:, ) type='DIRECTED' properties={'keywords': '"materialism, lost connections"', 'description': '"The Golden Idol represents the materialistic pursuits that have displaced meaningful connections in Scrooge\'s life."', 'weight': 10.0, 'source_id': 'chunk-b2f98bc7abb0c67d4c86055c7fd72218'}> -2024-10-30 06:06:08,896 - lightrag - INFO - _check_edge_existence:query:MATCH (a:`SCROOGE`)-[r]-(b:`THE MOURNING DRESS`) RETURN COUNT(r) > 0 AS edgeExists:result:True -2024-10-30 06:06:09,030 - lightrag - INFO - get_edge:query: - MATCH (source:`SCROOGE`)-[r]-(target:`THE MOURNING DRESS`) - RETURN r - :result:, ) type='DIRECTED' properties={'keywords': '"loss, emotional distance"', 'description': '"The Mourning Dress symbolizes Scrooge\'s unfulfilled relationships and the emotional consequences of his choices."', 'weight': 8.0, 'source_id': 'chunk-b2f98bc7abb0c67d4c86055c7fd72218'}> -2024-10-30 06:06:09,169 - lightrag - INFO - _check_edge_existence:query:MATCH (a:`SCROOGE`)-[r]-(b:`THE PRIME OF LIFE`) RETURN COUNT(r) > 0 AS edgeExists:result:True -2024-10-30 06:06:09,304 - lightrag - INFO - get_edge:query: - MATCH (source:`SCROOGE`)-[r]-(target:`THE PRIME OF LIFE`) - RETURN r - :result:, ) type='DIRECTED' properties={'keywords': '"reflection, life choices"', 'description': '"Scrooge reflects on his Prime of Life, contrasting it with his current state and the sacrifices he has made for wealth."', 'weight': 9.0, 'source_id': 'chunk-b2f98bc7abb0c67d4c86055c7fd72218'}> -2024-10-30 06:06:09,443 - lightrag - INFO - _check_edge_existence:query:MATCH (a:`SCROOGE`)-[r]-(b:`THE BEAUTIFUL YOUNG GIRL`) RETURN COUNT(r) > 0 AS edgeExists:result:True -2024-10-30 06:06:09,578 - lightrag - INFO - get_edge:query: - MATCH (source:`SCROOGE`)-[r]-(target:`THE BEAUTIFUL YOUNG GIRL`) - RETURN r - :result:, ) type='DIRECTED' properties={'keywords': '"nostalgia, lost love"', 'description': '"Scrooge reflects on his past relationship with the young girl, which holds significance in understanding his character\'s regrets."', 'weight': 8.0, 'source_id': 'chunk-54bdd22db1f84a965b5f4c06c9216d8d'}> -2024-10-30 06:06:09,716 - lightrag - INFO - _check_edge_existence:query:MATCH (a:`THE BEAUTIFUL YOUNG GIRL`)-[r]-(b:`THE COMELY MATRON`) RETURN COUNT(r) > 0 AS edgeExists:result:True -2024-10-30 06:06:09,850 - lightrag - INFO - get_edge:query: - MATCH (source:`THE BEAUTIFUL YOUNG GIRL`)-[r]-(target:`THE COMELY MATRON`) - RETURN r - :result:, ) type='DIRECTED' properties={'keywords': '"change, passage of time"', 'description': '"The Beautiful Young Girl evolves into The Comely Matron, representing the effects of time and choices made."', 'weight': 7.0, 'source_id': 'chunk-54bdd22db1f84a965b5f4c06c9216d8d'}> -2024-10-30 06:06:09,990 - lightrag - INFO - _check_edge_existence:query:MATCH (a:`THE CHILDREN`)-[r]-(b:`THE COMELY MATRON`) RETURN COUNT(r) > 0 AS edgeExists:result:True -2024-10-30 06:06:10,126 - lightrag - INFO - get_edge:query: - MATCH (source:`THE CHILDREN`)-[r]-(target:`THE COMELY MATRON`) - RETURN r - :result:, ) type='DIRECTED' properties={'keywords': '"family bonds, joy"', 'description': '"The Comely Matron fosters a lively environment with The Children, highlighting familial love and joy."', 'weight': 8.0, 'source_id': 'chunk-54bdd22db1f84a965b5f4c06c9216d8d'}> -2024-10-30 06:06:10,261 - lightrag - INFO - _check_edge_existence:query:MATCH (a:`THE CHILDREN`)-[r]-(b:`THE FATHER`) RETURN COUNT(r) > 0 AS edgeExists:result:True -2024-10-30 06:06:10,399 - lightrag - INFO - get_edge:query: - MATCH (source:`THE CHILDREN`)-[r]-(target:`THE FATHER`) - RETURN r - :result:, ) type='DIRECTED' properties={'keywords': '"familial joy, celebration"', 'description': '"The Father engages with the children, highlighting familial bonds and the excitement of Christmas celebrations."', 'weight': 8.0, 'source_id': 'chunk-da2472b4ef2a535b62908f14d0fb0ca9'}> -2024-10-30 06:06:10,542 - lightrag - INFO - _check_edge_existence:query:MATCH (a:`SCROOGE`)-[r]-(b:`THE DOWERLESS GIRL`) RETURN COUNT(r) > 0 AS edgeExists:result:True -2024-10-30 06:06:10,677 - lightrag - INFO - get_edge:query: - MATCH (source:`SCROOGE`)-[r]-(target:`THE DOWERLESS GIRL`) - RETURN r - :result:, ) type='DIRECTED' properties={'keywords': '"social constraints, regret"', 'description': '"Scrooge\'s reflections on the dowerless girl highlight the social constraints influencing his choices and feelings of regret."', 'weight': 6.0, 'source_id': 'chunk-54bdd22db1f84a965b5f4c06c9216d8d'}> -2024-10-30 06:06:10,819 - lightrag - INFO - _check_edge_existence:query:MATCH (a:`SCROOGE`)-[r]-(b:`THE MEMORY`) RETURN COUNT(r) > 0 AS edgeExists:result:True -2024-10-30 06:06:10,952 - lightrag - INFO - get_edge:query: - MATCH (source:`SCROOGE`)-[r]-(target:`THE MEMORY`) - RETURN r - :result:, ) type='DIRECTED' properties={'keywords': '"reflection, impact of past"', 'description': '"Scrooge\'s memories play a crucial role in shaping his perspective on love and happiness as he confronts his past."', 'weight': 8.0, 'source_id': 'chunk-54bdd22db1f84a965b5f4c06c9216d8d'}> -2024-10-30 06:06:11,089 - lightrag - INFO - _check_edge_existence:query:MATCH (a:`THE FATHER`)-[r]-(b:`THE WINTER FIRE`) RETURN COUNT(r) > 0 AS edgeExists:result:True -2024-10-30 06:06:11,223 - lightrag - INFO - get_edge:query: - MATCH (source:`THE FATHER`)-[r]-(target:`THE WINTER FIRE`) - RETURN r - :result:, ) type='DIRECTED' properties={'keywords': '"family reunion, warmth"', 'description': '"The Father\'s return to The Winter Fire represents the reunion of family and the warmth of home during the holiday season."', 'weight': 9.0, 'source_id': 'chunk-54bdd22db1f84a965b5f4c06c9216d8d'}> -2024-10-30 06:06:11,362 - lightrag - INFO - _check_edge_existence:query:MATCH (a:`HAPPINESS`)-[r]-(b:`THE BEAUTIFUL YOUNG GIRL`) RETURN COUNT(r) > 0 AS edgeExists:result:True -2024-10-30 06:06:11,500 - lightrag - INFO - get_edge:query: - MATCH (source:`HAPPINESS`)-[r]-(target:`THE BEAUTIFUL YOUNG GIRL`) - RETURN r - :result:, ) type='DIRECTED' properties={'keywords': '"lost happiness, longing"', 'description': '"The Beautiful Young Girl embodies the happiness that Scrooge once sought and now feels he has lost."', 'weight': 7.0, 'source_id': 'chunk-54bdd22db1f84a965b5f4c06c9216d8d'}> -2024-10-30 06:06:11,643 - lightrag - INFO - _check_edge_existence:query:MATCH (a:`HOPE`)-[r]-(b:`THE COMELY MATRON`) RETURN COUNT(r) > 0 AS edgeExists:result:True -2024-10-30 06:06:11,779 - lightrag - INFO - get_edge:query: - MATCH (source:`HOPE`)-[r]-(target:`THE COMELY MATRON`) - RETURN r - :result:, ) type='DIRECTED' properties={'keywords': '"hope, family love"', 'description': '"The Comely Matron represents the hope for a joyful and fulfilling family life, enhancing the themes of love and connection."', 'weight': 8.0, 'source_id': 'chunk-54bdd22db1f84a965b5f4c06c9216d8d'}> -2024-10-30 06:06:11,917 - lightrag - INFO - _check_edge_existence:query:MATCH (a:`THE COMELY MATRON`)-[r]-(b:`THE YOUNG BRIGANDS`) RETURN COUNT(r) > 0 AS edgeExists:result:True -2024-10-30 06:06:12,051 - lightrag - INFO - get_edge:query: - MATCH (source:`THE COMELY MATRON`)-[r]-(target:`THE YOUNG BRIGANDS`) - RETURN r - :result:, ) type='DIRECTED' properties={'keywords': '"chaos, joy of childhood"', 'description': '"The Comely Matron encourages the Young Brigands\' playfulness, highlighting the joy and chaos of family life."', 'weight': 7.0, 'source_id': 'chunk-54bdd22db1f84a965b5f4c06c9216d8d'}> -2024-10-30 06:06:12,191 - lightrag - INFO - _check_edge_existence:query:MATCH (a:`BELLE`)-[r]-(b:`SCROOGE`) RETURN COUNT(r) > 0 AS edgeExists:result:True -2024-10-30 06:06:12,325 - lightrag - INFO - get_edge:query: - MATCH (source:`BELLE`)-[r]-(target:`SCROOGE`) - RETURN r - :result:, ) type='DIRECTED' properties={'keywords': '"lost love, regret"', 'description': '"Scrooge reflects on his lost relationship with Belle, highlighting his feelings of regret and emotional pain."', 'weight': 8.0, 'source_id': 'chunk-da2472b4ef2a535b62908f14d0fb0ca9'}> -2024-10-30 06:06:12,469 - lightrag - INFO - _check_edge_existence:query:MATCH (a:`CHRISTMAS`)-[r]-(b:`THE SPIRIT`) RETURN COUNT(r) > 0 AS edgeExists:result:True -2024-10-30 06:06:12,604 - lightrag - INFO - get_edge:query: - MATCH (source:`CHRISTMAS`)-[r]-(target:`THE SPIRIT`) - RETURN r - :result:, ) type='DIRECTED' properties={'keywords': '"holiday spirit, compassion""seasonal influence, moral reflection"', 'description': '"The Spirit connects various scenes to the theme of Christmas, emphasizing its impact on individuals’ attitudes and behaviors.""The Spirit\'s appearances highlight the themes of Christmas and the importance of compassion and community."', 'weight': 17.0, 'source_id': 'chunk-91614df5cb74cbe5e109a338a82041e9chunk-da2472b4ef2a535b62908f14d0fb0ca9'}> -2024-10-30 06:06:12,744 - lightrag - INFO - _check_edge_existence:query:MATCH (a:`SCROOGE`)-[r]-(b:`THE OFFICE`) RETURN COUNT(r) > 0 AS edgeExists:result:True -2024-10-30 06:06:12,885 - lightrag - INFO - get_edge:query: - MATCH (source:`SCROOGE`)-[r]-(target:`THE OFFICE`) - RETURN r - :result:, ) type='DIRECTED' properties={'keywords': '"isolation, work ethic"', 'description': '"Scrooge\'s office reflects his solitary and business-driven life, showcasing his disconnection from familial and social ties."', 'weight': 6.0, 'source_id': 'chunk-da2472b4ef2a535b62908f14d0fb0ca9'}> -2024-10-30 06:06:13,025 - lightrag - INFO - _check_edge_existence:query:MATCH (a:`THE FATHER`)-[r]-(b:`THE MOTHER`) RETURN COUNT(r) > 0 AS edgeExists:result:True -2024-10-30 06:06:13,160 - lightrag - INFO - get_edge:query: - MATCH (source:`THE FATHER`)-[r]-(target:`THE MOTHER`) - RETURN r - :result:, ) type='DIRECTED' properties={'keywords': '"family dynamics, togetherness"', 'description': '"The Mother and Father are depicted together, emphasizing family dynamics during the festive occasion."', 'weight': 6.0, 'source_id': 'chunk-da2472b4ef2a535b62908f14d0fb0ca9'}> -2024-10-30 06:06:13,298 - lightrag - INFO - _check_edge_existence:query:MATCH (a:`THE BABY`)-[r]-(b:`THE CHILDREN`) RETURN COUNT(r) > 0 AS edgeExists:result:True -2024-10-30 06:06:13,432 - lightrag - INFO - get_edge:query: - MATCH (source:`THE BABY`)-[r]-(target:`THE CHILDREN`) - RETURN r - :result:, ) type='DIRECTED' properties={'keywords': '"playfulness, innocence"', 'description': '"The Children interact with The Baby in a playful manner, illustrating the innocence of youth during Christmas."', 'weight': 6.0, 'source_id': 'chunk-da2472b4ef2a535b62908f14d0fb0ca9'}> -2024-10-30 06:06:13,574 - lightrag - INFO - _check_edge_existence:query:MATCH (a:`THE CHILDREN`)-[r]-(b:`THE PORTER`) RETURN COUNT(r) > 0 AS edgeExists:result:True -2024-10-30 06:06:13,710 - lightrag - INFO - get_edge:query: - MATCH (source:`THE CHILDREN`)-[r]-(target:`THE PORTER`) - RETURN r - :result:, ) type='DIRECTED' properties={'keywords': '"playfulness, joy"', 'description': '"The Children playfully interact with the Porter, creating a scene of joyous chaos and affection."', 'weight': 9.0, 'source_id': 'chunk-da2472b4ef2a535b62908f14d0fb0ca9'}> -2024-10-30 06:06:13,847 - lightrag - INFO - _check_edge_existence:query:MATCH (a:`THE CHILDREN`)-[r]-(b:`THE MOTHER`) RETURN COUNT(r) > 0 AS edgeExists:result:True -2024-10-30 06:06:13,979 - lightrag - INFO - get_edge:query: - MATCH (source:`THE CHILDREN`)-[r]-(target:`THE MOTHER`) - RETURN r - :result:, ) type='DIRECTED' properties={'keywords': '"family care, joy"', 'description': '"The Mother facilitates the family celebrations, ensuring that her children experience joy during Christmas."', 'weight': 7.0, 'source_id': 'chunk-da2472b4ef2a535b62908f14d0fb0ca9'}> -2024-10-30 06:06:14,118 - lightrag - INFO - _check_edge_existence:query:MATCH (a:`HOME`)-[r]-(b:`THE MOTHER`) RETURN COUNT(r) > 0 AS edgeExists:result:True -2024-10-30 06:06:14,252 - lightrag - INFO - get_edge:query: - MATCH (source:`HOME`)-[r]-(target:`THE MOTHER`) - RETURN r - :result:, ) type='DIRECTED' properties={'keywords': '"family unity, celebration"', 'description': '"Home is where The Mother organizes the family Christmas celebration, serving as the heart of their togetherness."', 'weight': 9.0, 'source_id': 'chunk-da2472b4ef2a535b62908f14d0fb0ca9'}> -2024-10-30 06:06:14,391 - lightrag - INFO - _check_edge_existence:query:MATCH (a:`GHOST OF CHRISTMAS PRESENT`)-[r]-(b:`HOLLY`) RETURN COUNT(r) > 0 AS edgeExists:result:True -2024-10-30 06:06:14,526 - lightrag - INFO - get_edge:query: - MATCH (source:`GHOST OF CHRISTMAS PRESENT`)-[r]-(target:`HOLLY`) - RETURN r - :result:, ) type='DIRECTED' properties={'keywords': '"festive spirit, symbolism"', 'description': '"Holly is part of the Ghost\'s attire, reinforcing the themes of joy and celebration during Christmas."', 'weight': 9.0, 'source_id': 'chunk-843b5b2f944c7413d9ca876e2e2f151f'}> -2024-10-30 06:06:14,670 - lightrag - INFO - _check_edge_existence:query:MATCH (a:`GHOST OF CHRISTMAS PRESENT`)-[r]-(b:`MISTLETOE`) RETURN COUNT(r) > 0 AS edgeExists:result:True -2024-10-30 06:06:14,804 - lightrag - INFO - get_edge:query: - MATCH (source:`GHOST OF CHRISTMAS PRESENT`)-[r]-(target:`MISTLETOE`) - RETURN r - :result:, ) type='DIRECTED' properties={'keywords': '"tradition, symbolism"', 'description': '"The Spirit’s presence is enhanced by Mistletoe, a traditional decoration symbolizing love and goodwill."', 'weight': 7.0, 'source_id': 'chunk-843b5b2f944c7413d9ca876e2e2f151f'}> -2024-10-30 06:06:14,953 - lightrag - INFO - _check_edge_existence:query:MATCH (a:`GHOST OF CHRISTMAS PRESENT`)-[r]-(b:`RED BERRIES`) RETURN COUNT(r) > 0 AS edgeExists:result:True -2024-10-30 06:06:15,092 - lightrag - INFO - get_edge:query: - MATCH (source:`GHOST OF CHRISTMAS PRESENT`)-[r]-(target:`RED BERRIES`) - RETURN r - :result:, ) type='DIRECTED' properties={'keywords': '"festivity, abundance"', 'description': '"The Ghost is surrounded by Red Berries, reinforcing the imagery of Christmas abundance and decoration."', 'weight': 7.0, 'source_id': 'chunk-843b5b2f944c7413d9ca876e2e2f151f'}> -2024-10-30 06:06:15,235 - lightrag - INFO - _check_edge_existence:query:MATCH (a:`GHOST OF CHRISTMAS PRESENT`)-[r]-(b:`TURKEYS`) RETURN COUNT(r) > 0 AS edgeExists:result:True -2024-10-30 06:06:15,370 - lightrag - INFO - get_edge:query: - MATCH (source:`GHOST OF CHRISTMAS PRESENT`)-[r]-(target:`TURKEYS`) - RETURN r - :result:, ) type='DIRECTED' properties={'keywords': '"feasting, abundance"', 'description': '"The Ghost highlights the presence of Turkeys at the feast, emphasizing the spirit of generosity during Christmas."', 'weight': 8.0, 'source_id': 'chunk-843b5b2f944c7413d9ca876e2e2f151f'}> -2024-10-30 06:06:15,507 - lightrag - INFO - _check_edge_existence:query:MATCH (a:`GHOST OF CHRISTMAS PRESENT`)-[r]-(b:`POULTRY`) RETURN COUNT(r) > 0 AS edgeExists:result:True -2024-10-30 06:06:15,645 - lightrag - INFO - get_edge:query: - MATCH (source:`GHOST OF CHRISTMAS PRESENT`)-[r]-(target:`POULTRY`) - RETURN r - :result:, ) type='DIRECTED' properties={'keywords': '"feast, tradition"', 'description': '"The Ghost presents Poultry as part of the Christmas spread, highlighting the traditional meals associated with the holiday."', 'weight': 8.0, 'source_id': 'chunk-843b5b2f944c7413d9ca876e2e2f151f'}> -2024-10-30 06:06:15,785 - lightrag - INFO - _check_edge_existence:query:MATCH (a:`GHOST OF CHRISTMAS PRESENT`)-[r]-(b:`MEAT`) RETURN COUNT(r) > 0 AS edgeExists:result:True -2024-10-30 06:06:15,920 - lightrag - INFO - get_edge:query: - MATCH (source:`GHOST OF CHRISTMAS PRESENT`)-[r]-(target:`MEAT`) - RETURN r - :result:, ) type='DIRECTED' properties={'keywords': '"abundance, generosity"', 'description': '"The included Meat within the Ghost\'s feast symbolizes abundance and the spirit of generosity during Christmas."', 'weight': 8.0, 'source_id': 'chunk-843b5b2f944c7413d9ca876e2e2f151f'}> -2024-10-30 06:06:16,081 - lightrag - INFO - _check_edge_existence:query:MATCH (a:`GHOST OF CHRISTMAS PRESENT`)-[r]-(b:`SAUSAGES`) RETURN COUNT(r) > 0 AS edgeExists:result:True -2024-10-30 06:06:16,215 - lightrag - INFO - get_edge:query: - MATCH (source:`GHOST OF CHRISTMAS PRESENT`)-[r]-(target:`SAUSAGES`) - RETURN r - :result:, ) type='DIRECTED' properties={'keywords': '"celebration, abundance"', 'description': '"Sausages contribute to the lavish spread, symbolizing the abundance of the Christmas feast."', 'weight': 7.0, 'source_id': 'chunk-843b5b2f944c7413d9ca876e2e2f151f'}> -2024-10-30 06:06:16,358 - lightrag - INFO - _check_edge_existence:query:MATCH (a:`GHOST OF CHRISTMAS PRESENT`)-[r]-(b:`OYSTERS`) RETURN COUNT(r) > 0 AS edgeExists:result:True -2024-10-30 06:06:16,491 - lightrag - INFO - get_edge:query: - MATCH (source:`GHOST OF CHRISTMAS PRESENT`)-[r]-(target:`OYSTERS`) - RETURN r - :result:, ) type='DIRECTED' properties={'keywords': '"luxury, celebration"', 'description': '"The inclusion of Oysters in the Christmas feast illustrates the luxury and indulgence during festive celebrations."', 'weight': 8.0, 'source_id': 'chunk-843b5b2f944c7413d9ca876e2e2f151f'}> -2024-10-30 06:06:16,629 - lightrag - INFO - _check_edge_existence:query:MATCH (a:`GHOST OF CHRISTMAS PRESENT`)-[r]-(b:`PIES`) RETURN COUNT(r) > 0 AS edgeExists:result:True -2024-10-30 06:06:16,765 - lightrag - INFO - get_edge:query: - MATCH (source:`GHOST OF CHRISTMAS PRESENT`)-[r]-(target:`PIES`) - RETURN r - :result:, ) type='DIRECTED' properties={'keywords': '"tradition, dessert"', 'description': '"Pies presented by the Ghost highlight the traditions of holiday desserts shared among families."', 'weight': 8.0, 'source_id': 'chunk-843b5b2f944c7413d9ca876e2e2f151f'}> -2024-10-30 06:06:16,911 - lightrag - INFO - _check_edge_existence:query:MATCH (a:`GHOST OF CHRISTMAS PRESENT`)-[r]-(b:`PUDDINGS`) RETURN COUNT(r) > 0 AS edgeExists:result:True -2024-10-30 06:06:17,044 - lightrag - INFO - get_edge:query: - MATCH (source:`GHOST OF CHRISTMAS PRESENT`)-[r]-(target:`PUDDINGS`) - RETURN r - :result:, ) type='DIRECTED' properties={'keywords': '"warmth, comfort"', 'description': '"Puddings are part of the Ghost’s feast, embodying warmth and comfort during the Christmas season."', 'weight': 8.0, 'source_id': 'chunk-843b5b2f944c7413d9ca876e2e2f151f'}> -2024-10-30 06:06:17,194 - lightrag - INFO - _check_edge_existence:query:MATCH (a:`FRUIT`)-[r]-(b:`GHOST OF CHRISTMAS PRESENT`) RETURN COUNT(r) > 0 AS edgeExists:result:True -2024-10-30 06:06:17,327 - lightrag - INFO - get_edge:query: - MATCH (source:`FRUIT`)-[r]-(target:`GHOST OF CHRISTMAS PRESENT`) - RETURN r - :result:, ) type='DIRECTED' properties={'keywords': '"sharing, abundance"', 'description': '"Fruit served by the Ghost reinforces the joy of sharing and the abundance of the Christmas season."', 'weight': 8.0, 'source_id': 'chunk-843b5b2f944c7413d9ca876e2e2f151f'}> -2024-10-30 06:06:17,470 - lightrag - INFO - _check_edge_existence:query:MATCH (a:`GHOST OF CHRISTMAS PRESENT`)-[r]-(b:`PUNCH`) RETURN COUNT(r) > 0 AS edgeExists:result:True -2024-10-30 06:06:17,602 - lightrag - INFO - get_edge:query: - MATCH (source:`GHOST OF CHRISTMAS PRESENT`)-[r]-(target:`PUNCH`) - RETURN r - :result:, ) type='DIRECTED' properties={'keywords': '"celebration, festivity"', 'description': '"Punch serves as a festive drink shared during Christmas, enhancing the celebratory atmosphere."', 'weight': 8.0, 'source_id': 'chunk-843b5b2f944c7413d9ca876e2e2f151f'}> -2024-10-30 06:06:17,745 - lightrag - INFO - _check_edge_existence:query:MATCH (a:`ANTIQUE SCABBARD`)-[r]-(b:`GHOST OF CHRISTMAS PRESENT`) RETURN COUNT(r) > 0 AS edgeExists:result:True -2024-10-30 06:06:17,881 - lightrag - INFO - get_edge:query: - MATCH (source:`ANTIQUE SCABBARD`)-[r]-(target:`GHOST OF CHRISTMAS PRESENT`) - RETURN r - :result:, ) type='DIRECTED' properties={'keywords': '"history, guardianship"', 'description': '"The Antique Scabbard worn by the Spirit symbolizes history and the guardianship of Christmas traditions."', 'weight': 7.0, 'source_id': 'chunk-843b5b2f944c7413d9ca876e2e2f151f'}> -2024-10-30 06:06:18,026 - lightrag - INFO - _check_edge_existence:query:MATCH (a:`CHRISTMAS`)-[r]-(b:`GROCERS'`) RETURN COUNT(r) > 0 AS edgeExists:result:True -2024-10-30 06:06:18,192 - lightrag - INFO - get_edge:query: - MATCH (source:`CHRISTMAS`)-[r]-(target:`GROCERS'`) - RETURN r - :result:, ) type='DIRECTED' properties={'keywords': '"retail, festive celebration"', 'description': '"The Grocers\' organization plays a crucial role during Christmas by providing goods that contribute to the festive spirit."', 'weight': 8.0, 'source_id': 'chunk-99b0ec7f7e006561352b5d65e849611d'}> -2024-10-30 06:06:18,331 - lightrag - INFO - _check_edge_existence:query:MATCH (a:`CHRISTMAS`)-[r]-(b:`PEOPLE`) RETURN COUNT(r) > 0 AS edgeExists:result:True -2024-10-30 06:06:18,465 - lightrag - INFO - get_edge:query: - MATCH (source:`CHRISTMAS`)-[r]-(target:`PEOPLE`) - RETURN r - :result:, ) type='DIRECTED' properties={'keywords': '"community celebration, joy"', 'description': '"The People are actively engaged in the celebration of Christmas, demonstrating joy and festivity despite the harsh weather conditions."', 'weight': 9.0, 'source_id': 'chunk-99b0ec7f7e006561352b5d65e849611d'}> -2024-10-30 06:06:18,605 - lightrag - INFO - _check_edge_existence:query:MATCH (a:`CHRISTMAS`)-[r]-(b:`GREAT BRITAIN`) RETURN COUNT(r) > 0 AS edgeExists:result:True -2024-10-30 06:06:18,738 - lightrag - INFO - get_edge:query: - MATCH (source:`CHRISTMAS`)-[r]-(target:`GREAT BRITAIN`) - RETURN r - :result:, ) type='DIRECTED' properties={'keywords': '"celebration, societal mood"', 'description': '"The celebration of Christmas brings a cheerful atmosphere to Great Britain despite the gloomy weather conditions."', 'weight': 7.0, 'source_id': 'chunk-99b0ec7f7e006561352b5d65e849611d'}> -2024-10-30 06:06:18,877 - lightrag - INFO - _check_edge_existence:query:MATCH (a:`SCROOGE`)-[r]-(b:`SPIRIT OF CHRISTMAS PRESENT`) RETURN COUNT(r) > 0 AS edgeExists:result:True -2024-10-30 06:06:19,014 - lightrag - INFO - get_edge:query: - MATCH (source:`SCROOGE`)-[r]-(target:`SPIRIT OF CHRISTMAS PRESENT`) - RETURN r - :result:, ) type='DIRECTED' properties={'keywords': '"transformation, generosity"', 'description': '"Scrooge interacts with the Spirit of Christmas Present, who shows him the joys of Christmas and the importance of generosity."', 'weight': 8.0, 'source_id': 'chunk-b0f459f5af1c3a5e0b92cbe4ee48b77b'}> -2024-10-30 06:06:19,154 - lightrag - INFO - _check_edge_existence:query:MATCH (a:`BOB CRATCHIT`)-[r]-(b:`SPIRIT OF CHRISTMAS PRESENT`) RETURN COUNT(r) > 0 AS edgeExists:result:True -2024-10-30 06:06:19,292 - lightrag - INFO - get_edge:query: - MATCH (source:`BOB CRATCHIT`)-[r]-(target:`SPIRIT OF CHRISTMAS PRESENT`) - RETURN r - :result:, ) type='DIRECTED' properties={'keywords': '"blessing, compassion"', 'description': '"The Spirit blesses Bob Cratchit’s dwelling, symbolizing the recognition of the Cratchit family\'s struggles and joys on Christmas Day."', 'weight': 9.0, 'source_id': 'chunk-b0f459f5af1c3a5e0b92cbe4ee48b77b'}> -2024-10-30 06:06:19,432 - lightrag - INFO - _check_edge_existence:query:MATCH (a:`BOB CRATCHIT`)-[r]-(b:`THE CRATCHIT HOUSEHOLD`) RETURN COUNT(r) > 0 AS edgeExists:result:True -2024-10-30 06:06:19,567 - lightrag - INFO - get_edge:query: - MATCH (source:`BOB CRATCHIT`)-[r]-(target:`THE CRATCHIT HOUSEHOLD`) - RETURN r - :result:, ) type='DIRECTED' properties={'keywords': '"family, support"', 'description': '"Bob Cratchit leads his family, representing resilience and love in the face of hardship, which is celebrated by the Spirit."', 'weight': 8.0, 'source_id': 'chunk-b0f459f5af1c3a5e0b92cbe4ee48b77b'}> -2024-10-30 06:06:19,709 - lightrag - INFO - _check_edge_existence:query:MATCH (a:`MRS. CRATCHIT`)-[r]-(b:`THE CRATCHIT HOUSEHOLD`) RETURN COUNT(r) > 0 AS edgeExists:result:True -2024-10-30 06:06:19,843 - lightrag - INFO - get_edge:query: - MATCH (source:`MRS. CRATCHIT`)-[r]-(target:`THE CRATCHIT HOUSEHOLD`) - RETURN r - :result:, ) type='DIRECTED' properties={'keywords': '"dedication, familial love"', 'description': '"Mrs. Cratchit contributes to the family’s efforts to celebrate Christmas, demonstrating dedication and caring."', 'weight': 7.0, 'source_id': 'chunk-b0f459f5af1c3a5e0b92cbe4ee48b77b'}> -2024-10-30 06:06:19,988 - lightrag - INFO - _check_edge_existence:query:MATCH (a:`BELINDA CRATCHIT`)-[r]-(b:`THE CRATCHIT HOUSEHOLD`) RETURN COUNT(r) > 0 AS edgeExists:result:True -2024-10-30 06:06:20,120 - lightrag - INFO - get_edge:query: - MATCH (source:`BELINDA CRATCHIT`)-[r]-(target:`THE CRATCHIT HOUSEHOLD`) - RETURN r - :result:, ) type='DIRECTED' properties={'keywords': '"cooperation, family bonds"', 'description': '"Belinda plays an active role in the household duties, reinforcing the theme of cooperation and togetherness."', 'weight': 6.0, 'source_id': 'chunk-b0f459f5af1c3a5e0b92cbe4ee48b77b'}> -2024-10-30 06:06:20,259 - lightrag - INFO - _check_edge_existence:query:MATCH (a:`MRS. CRATCHIT`)-[r]-(b:`PETER CRATCHIT`) RETURN COUNT(r) > 0 AS edgeExists:result:True -2024-10-30 06:06:20,394 - lightrag - INFO - get_edge:query: - MATCH (source:`MRS. CRATCHIT`)-[r]-(target:`PETER CRATCHIT`) - RETURN r - :result:, ) type='DIRECTED' properties={'keywords': '"family participation, dynamic"', 'description': '"Peter Cratchit assists his mother, reflecting the family dynamic and contribution of children during festive preparations."', 'weight': 7.0, 'source_id': 'chunk-b0f459f5af1c3a5e0b92cbe4ee48b77b'}> -2024-10-30 06:06:20,535 - lightrag - INFO - _check_edge_existence:query:MATCH (a:`THE GROCER`)-[r]-(b:`THE PEOPLE`) RETURN COUNT(r) > 0 AS edgeExists:result:True -2024-10-30 06:06:20,672 - lightrag - INFO - get_edge:query: - MATCH (source:`THE GROCER`)-[r]-(target:`THE PEOPLE`) - RETURN r - :result:, ) type='DIRECTED' properties={'keywords': '"community spirit, warmth"', 'description': '"The Grocer interacts warmly with The People, fostering a sense of community and celebration during Christmas."', 'weight': 8.0, 'source_id': 'chunk-b0f459f5af1c3a5e0b92cbe4ee48b77b'}> -2024-10-30 06:06:20,813 - lightrag - INFO - _check_edge_existence:query:MATCH (a:`THE CRATCHIT HOUSEHOLD`)-[r]-(b:`THE SPIRIT OF CHRISTMAS PRESENT`) RETURN COUNT(r) > 0 AS edgeExists:result:True -2024-10-30 06:06:20,950 - lightrag - INFO - get_edge:query: - MATCH (source:`THE CRATCHIT HOUSEHOLD`)-[r]-(target:`THE SPIRIT OF CHRISTMAS PRESENT`) - RETURN r - :result:, ) type='DIRECTED' properties={'keywords': '"observation, blessing"', 'description': '"The Spirit observes and blesses The Cratchit Household, showcasing the joy and struggles of families during Christmas."', 'weight': 9.0, 'source_id': 'chunk-b0f459f5af1c3a5e0b92cbe4ee48b77b'}> -2024-10-30 06:06:21,092 - lightrag - INFO - _check_edge_existence:query:MATCH (a:`THE BAKER'S SHOP`)-[r]-(b:`THE PEOPLE`) RETURN COUNT(r) > 0 AS edgeExists:result:True -2024-10-30 06:06:21,224 - lightrag - INFO - get_edge:query: - MATCH (source:`THE BAKER'S SHOP`)-[r]-(target:`THE PEOPLE`) - RETURN r - :result:, ) type='DIRECTED' properties={'keywords': '"community, gathering place"', 'description': '"The Baker\'s Shop serves as a gathering place for The People, symbolizing community and shared meals on Christmas Day."', 'weight': 7.0, 'source_id': 'chunk-b0f459f5af1c3a5e0b92cbe4ee48b77b'}> -2024-10-30 06:06:21,364 - lightrag - INFO - _check_edge_existence:query:MATCH (a:`THE SPIRIT OF CHRISTMAS PRESENT`)-[r]-(b:`THE STREETS`) RETURN COUNT(r) > 0 AS edgeExists:result:True -2024-10-30 06:06:21,502 - lightrag - INFO - get_edge:query: - MATCH (source:`THE SPIRIT OF CHRISTMAS PRESENT`)-[r]-(target:`THE STREETS`) - RETURN r - :result:, ) type='DIRECTED' properties={'keywords': '"guidance, social awareness"', 'description': '"The Spirit guides Scrooge through The Streets, revealing the festive nature and challenges faced by the townsfolk."', 'weight': 8.0, 'source_id': 'chunk-b0f459f5af1c3a5e0b92cbe4ee48b77b'}> -2024-10-30 06:06:21,642 - lightrag - INFO - _check_edge_existence:query:MATCH (a:`THE CRATCHIT HOUSEHOLD`)-[r]-(b:`THE SUBURBS`) RETURN COUNT(r) > 0 AS edgeExists:result:True -2024-10-30 06:06:21,783 - lightrag - INFO - get_edge:query: - MATCH (source:`THE CRATCHIT HOUSEHOLD`)-[r]-(target:`THE SUBURBS`) - RETURN r - :result:, ) type='DIRECTED' properties={'keywords': '"social commentary, inequality"', 'description': '"The Suburbs illustrate the challenges faced by families like The Cratchit Household, emphasizing social inequality."', 'weight': 6.0, 'source_id': 'chunk-b0f459f5af1c3a5e0b92cbe4ee48b77b'}> -2024-10-30 06:06:21,925 - lightrag - INFO - _check_edge_existence:query:MATCH (a:`DINNERS`)-[r]-(b:`THE CRATCHIT HOUSEHOLD`) RETURN COUNT(r) > 0 AS edgeExists:result:True -2024-10-30 06:06:22,062 - lightrag - INFO - get_edge:query: - MATCH (source:`DINNERS`)-[r]-(target:`THE CRATCHIT HOUSEHOLD`) - RETURN r - :result:, ) type='DIRECTED' properties={'keywords': '"togetherness, familial love"', 'description': '"The dinners prepared by The Cratchit Household signify love and togetherness, reflecting on the importance of family meals during the holidays."', 'weight': 8.0, 'source_id': 'chunk-b0f459f5af1c3a5e0b92cbe4ee48b77b'}> -2024-10-30 06:06:22,202 - lightrag - INFO - _check_edge_existence:query:MATCH (a:`BOB CRATCHIT`)-[r]-(b:`MARTHA`) RETURN COUNT(r) > 0 AS edgeExists:result:True -2024-10-30 06:06:22,390 - lightrag - INFO - get_edge:query: - MATCH (source:`BOB CRATCHIT`)-[r]-(target:`MARTHA`) - RETURN r - :result:, ) type='DIRECTED' properties={'keywords': '"family reunion, surprise"', 'description': '"Martha surprises Bob Cratchit by coming home late for Christmas dinner, showing the family\'s love and warmth in reunions."', 'weight': 8.0, 'source_id': 'chunk-7e2e7ebcc19a53b399dc03aded4743e7'}> -2024-10-30 06:06:22,530 - lightrag - INFO - _check_edge_existence:query:MATCH (a:`CRATCHIT CHRISTMAS DINNER`)-[r]-(b:`CRATCHIT FAMILY`) RETURN COUNT(r) > 0 AS edgeExists:result:True -2024-10-30 06:06:22,664 - lightrag - INFO - get_edge:query: - MATCH (source:`CRATCHIT CHRISTMAS DINNER`)-[r]-(target:`CRATCHIT FAMILY`) - RETURN r - :result:, ) type='DIRECTED' properties={'keywords': '"family celebration, togetherness"', 'description': '"The Cratchit Family comes together to celebrate Christmas dinner, encapsulating their unity and joyful spirit during the holiday season."', 'weight': 10.0, 'source_id': 'chunk-7e2e7ebcc19a53b399dc03aded4743e7'}> -2024-10-30 06:06:22,804 - lightrag - INFO - _check_edge_existence:query:MATCH (a:`CRATCHIT FAMILY`)-[r]-(b:`TINY TIM`) RETURN COUNT(r) > 0 AS edgeExists:result:True -2024-10-30 06:06:22,943 - lightrag - INFO - get_edge:query: - MATCH (source:`CRATCHIT FAMILY`)-[r]-(target:`TINY TIM`) - RETURN r - :result:, ) type='DIRECTED' properties={'keywords': '"family bond, celebration""family ties, innocence"', 'description': '"Tiny Tim\'s presence in the Cratchit family adds to their joy and highlights the family\'s spirit of togetherness during Christmas.""Tiny Tim, as part of the Cratchit Family, represents the innocence and vulnerability of the family, affecting their dynamics during Christmas."', 'weight': 15.0, 'source_id': 'chunk-7e2e7ebcc19a53b399dc03aded4743e7chunk-19d72c57ae3408758b18d2568e86dc6b'}> -2024-10-30 06:06:23,083 - lightrag - INFO - _check_edge_existence:query:MATCH (a:`CRATCHIT CHRISTMAS DINNER`)-[r]-(b:`MRS. CRATCHIT`) RETURN COUNT(r) > 0 AS edgeExists:result:True -2024-10-30 06:06:23,218 - lightrag - INFO - get_edge:query: - MATCH (source:`CRATCHIT CHRISTMAS DINNER`)-[r]-(target:`MRS. CRATCHIT`) - RETURN r - :result:, ) type='DIRECTED' properties={'keywords': '"family dedication, celebration"', 'description': '"Mrs. Cratchit plays a vital role in organizing and preparing the Christmas dinner, showcasing her dedication to the family."', 'weight': 9.0, 'source_id': 'chunk-7e2e7ebcc19a53b399dc03aded4743e7'}> -2024-10-30 06:06:23,357 - lightrag - INFO - _check_edge_existence:query:MATCH (a:`CRATCHIT CHRISTMAS DINNER`)-[r]-(b:`THE GOOSE`) RETURN COUNT(r) > 0 AS edgeExists:result:True -2024-10-30 06:06:23,494 - lightrag - INFO - get_edge:query: - MATCH (source:`CRATCHIT CHRISTMAS DINNER`)-[r]-(target:`THE GOOSE`) - RETURN r - :result:, ) type='DIRECTED' properties={'keywords': '"central dish, festive tradition"', 'description': '"The Goose is the centerpiece of the Cratchit Christmas dinner, symbolizing the family\'s festive spirit and shared joy."', 'weight': 10.0, 'source_id': 'chunk-7e2e7ebcc19a53b399dc03aded4743e7'}> -2024-10-30 06:06:23,634 - lightrag - INFO - _check_edge_existence:query:MATCH (a:`THE YOUNG CRATCHITS`)-[r]-(b:`TINY TIM`) RETURN COUNT(r) > 0 AS edgeExists:result:True -2024-10-30 06:06:23,770 - lightrag - INFO - get_edge:query: - MATCH (source:`THE YOUNG CRATCHITS`)-[r]-(target:`TINY TIM`) - RETURN r - :result:, ) type='DIRECTED' properties={'keywords': '"sibling bond, family dynamics"', 'description': '"The Young Cratchits enthusiastically engage with Tiny Tim during the celebrations, highlighting the loving dynamics of the Cratchit family."', 'weight': 8.0, 'source_id': 'chunk-7e2e7ebcc19a53b399dc03aded4743e7'}> -2024-10-30 06:06:23,910 - lightrag - INFO - _check_edge_existence:query:MATCH (a:`THE FIRE`)-[r]-(b:`TINY TIM`) RETURN COUNT(r) > 0 AS edgeExists:result:True -2024-10-30 06:06:24,047 - lightrag - INFO - get_edge:query: - MATCH (source:`THE FIRE`)-[r]-(target:`TINY TIM`) - RETURN r - :result:, ) type='DIRECTED' properties={'keywords': '"warmth, family support"', 'description': '"Tiny Tim is seen being supported by the family at the warmth of the Fire, which adds comfort and cheer to their gathering."', 'weight': 8.0, 'source_id': 'chunk-7e2e7ebcc19a53b399dc03aded4743e7'}> -2024-10-30 06:06:24,183 - lightrag - INFO - _check_edge_existence:query:MATCH (a:`CRATCHIT CHRISTMAS DINNER`)-[r]-(b:`THE PUDDING`) RETURN COUNT(r) > 0 AS edgeExists:result:True -2024-10-30 06:06:24,313 - lightrag - INFO - get_edge:query: - MATCH (source:`CRATCHIT CHRISTMAS DINNER`)-[r]-(target:`THE PUDDING`) - RETURN r - :result:, ) type='DIRECTED' properties={'keywords': '"traditional dish, celebration"', 'description': '"The Pudding is an important dish that signals the culmination of the Cratchit Christmas dinner, emphasizing the joy and festivity of the occasion."', 'weight': 9.0, 'source_id': 'chunk-7e2e7ebcc19a53b399dc03aded4743e7'}> -2024-10-30 06:06:24,455 - lightrag - INFO - _check_edge_existence:query:MATCH (a:`MRS. CRATCHIT`)-[r]-(b:`THE DINNER`) RETURN COUNT(r) > 0 AS edgeExists:result:True -2024-10-30 06:06:24,589 - lightrag - INFO - get_edge:query: - MATCH (source:`MRS. CRATCHIT`)-[r]-(target:`THE DINNER`) - RETURN r - :result:, ) type='DIRECTED' properties={'keywords': '"food preparation, holiday tradition"', 'description': '"Mrs. Cratchit prepares the dinner with pride, particularly the pudding, making it a highlight of the family\'s Christmas celebration."', 'weight': 9.0, 'source_id': 'chunk-503f0bfa5453467c7c61d160a3540eca'}> -2024-10-30 06:06:24,729 - lightrag - INFO - _check_edge_existence:query:MATCH (a:`THE CRATCHIT FAMILY`)-[r]-(b:`THE DINNER`) RETURN COUNT(r) > 0 AS edgeExists:result:True -2024-10-30 06:06:24,862 - lightrag - INFO - get_edge:query: - MATCH (source:`THE CRATCHIT FAMILY`)-[r]-(target:`THE DINNER`) - RETURN r - :result:, ) type='DIRECTED' properties={'keywords': '"family unity, celebration"', 'description': '"The Cratchit Family comes together for The Dinner, showcasing their unity and holiday spirit, despite their modest means."', 'weight': 10.0, 'source_id': 'chunk-503f0bfa5453467c7c61d160a3540eca'}> -2024-10-30 06:06:25,003 - lightrag - INFO - _check_edge_existence:query:MATCH (a:`SCROOGE`)-[r]-(b:`TINY TIM`) RETURN COUNT(r) > 0 AS edgeExists:result:True -2024-10-30 06:06:25,136 - lightrag - INFO - get_edge:query: - MATCH (source:`SCROOGE`)-[r]-(target:`TINY TIM`) - RETURN r - :result:, ) type='DIRECTED' properties={'keywords': '"personal transformation, empathy""transformation, mentorship""transformation, redemption"', 'description': '"Scrooge becomes a father figure to Tiny Tim, showing a deep commitment to his well-being after realizing the importance of family and caring for others.""Scrooge reflects on Tiny Tim and expresses concern for his wellbeing, indicating a pivotal change in his character and attitudes towards the less fortunate.""Scrooge\'s transformation is influenced by his reflections on the impact of Tiny Tim\'s life and death."', 'weight': 26.0, 'source_id': 'chunk-94bea83e7153fc2064aa382b494936a1chunk-503f0bfa5453467c7c61d160a3540ecachunk-91572b3cd42786ba4cb2f180ca25cbf4'}> -2024-10-30 06:06:25,275 - lightrag - INFO - _check_edge_existence:query:MATCH (a:`THE DINNER`)-[r]-(b:`THE GOOSE`) RETURN COUNT(r) > 0 AS edgeExists:result:True -2024-10-30 06:06:25,415 - lightrag - INFO - get_edge:query: - MATCH (source:`THE DINNER`)-[r]-(target:`THE GOOSE`) - RETURN r - :result:, ) type='DIRECTED' properties={'keywords': '"holiday meal, celebration"', 'description': '"The Goose is a significant part of The Dinner, representing the main course that brings joy and satisfaction to the Cratchit family."', 'weight': 8.0, 'source_id': 'chunk-503f0bfa5453467c7c61d160a3540eca'}> -2024-10-30 06:06:25,553 - lightrag - INFO - _check_edge_existence:query:MATCH (a:`THE DINNER`)-[r]-(b:`THE PUDDING`) RETURN COUNT(r) > 0 AS edgeExists:result:True -2024-10-30 06:06:25,686 - lightrag - INFO - get_edge:query: - MATCH (source:`THE DINNER`)-[r]-(target:`THE PUDDING`) - RETURN r - :result:, ) type='DIRECTED' properties={'keywords': '"dessert, holiday tradition"', 'description': '"The Pudding is a highlight of The Dinner, showcasing Mrs. Cratchit\'s skill and adding to the festive atmosphere."', 'weight': 9.0, 'source_id': 'chunk-503f0bfa5453467c7c61d160a3540eca'}> -2024-10-30 06:06:25,828 - lightrag - INFO - _check_edge_existence:query:MATCH (a:`MISS BELINDA`)-[r]-(b:`THE DINNER`) RETURN COUNT(r) > 0 AS edgeExists:result:True -2024-10-30 06:06:25,964 - lightrag - INFO - get_edge:query: - MATCH (source:`MISS BELINDA`)-[r]-(target:`THE DINNER`) - RETURN r - :result:, ) type='DIRECTED' properties={'keywords': '"family contribution, teamwork"', 'description': '"Miss Belinda\'s role in changing the plates represents her contribution to the family effort in celebrating The Dinner."', 'weight': 7.0, 'source_id': 'chunk-503f0bfa5453467c7c61d160a3540eca'}> -2024-10-30 06:06:26,106 - lightrag - INFO - _check_edge_existence:query:MATCH (a:`CHRISTMAS`)-[r]-(b:`THE DINNER`) RETURN COUNT(r) > 0 AS edgeExists:result:True -2024-10-30 06:06:26,239 - lightrag - INFO - get_edge:query: - MATCH (source:`CHRISTMAS`)-[r]-(target:`THE DINNER`) - RETURN r - :result:, ) type='DIRECTED' properties={'keywords': '"festive occasion, celebration"', 'description': '"The Dinner is part of the Christmas celebration, reflecting the traditions and spirit associated with this holiday."', 'weight': 10.0, 'source_id': 'chunk-503f0bfa5453467c7c61d160a3540eca'}> -2024-10-30 06:06:26,383 - lightrag - INFO - _check_edge_existence:query:MATCH (a:`SCROOGE`)-[r]-(b:`THE FOUNDER OF THE FEAST`) RETURN COUNT(r) > 0 AS edgeExists:result:True -2024-10-30 06:06:26,517 - lightrag - INFO - get_edge:query: - MATCH (source:`SCROOGE`)-[r]-(target:`THE FOUNDER OF THE FEAST`) - RETURN r - :result:, ) type='DIRECTED' properties={'keywords': '"gratitude, recognition"', 'description': '"Scrooge\'s contribution as The Founder of the Feast is acknowledged by Bob, highlighting the connection between Scrooge and the Cratchit family\'s Christmas dinner."', 'weight': 8.0, 'source_id': 'chunk-503f0bfa5453467c7c61d160a3540eca'}> -2024-10-30 06:06:26,656 - lightrag - INFO - _check_edge_existence:query:MATCH (a:`MRS. CRATCHIT`)-[r]-(b:`SCROOGE`) RETURN COUNT(r) > 0 AS edgeExists:result:True -2024-10-30 06:06:26,789 - lightrag - INFO - get_edge:query: - MATCH (source:`MRS. CRATCHIT`)-[r]-(target:`SCROOGE`) - RETURN r - :result:, ) type='DIRECTED' properties={'keywords': '"criticism, emotional conflict"', 'description': '"Mrs. Cratchit openly criticizes Scrooge during the Christmas dinner, expressing her feelings towards him and emphasizing the family\'s resentment."', 'weight': 8.0, 'source_id': 'chunk-19d72c57ae3408758b18d2568e86dc6b'}> -2024-10-30 06:06:26,930 - lightrag - INFO - _check_edge_existence:query:MATCH (a:`CRATCHIT FAMILY`)-[r]-(b:`THE SPIRIT`) RETURN COUNT(r) > 0 AS edgeExists:result:True -2024-10-30 06:06:27,064 - lightrag - INFO - get_edge:query: - MATCH (source:`CRATCHIT FAMILY`)-[r]-(target:`THE SPIRIT`) - RETURN r - :result:, ) type='DIRECTED' properties={'keywords': '"holiday spirit, influence"', 'description': '"The Spirit influences the Christmas gathering of the Cratchit family by promoting joy and generosity, impacting their celebration."', 'weight': 9.0, 'source_id': 'chunk-19d72c57ae3408758b18d2568e86dc6b'}> -2024-10-30 06:06:27,204 - lightrag - INFO - _check_edge_existence:query:MATCH (a:`CHRISTMAS DAY`)-[r]-(b:`CRATCHIT FAMILY`) RETURN COUNT(r) > 0 AS edgeExists:result:True -2024-10-30 06:06:27,365 - lightrag - INFO - get_edge:query: - MATCH (source:`CHRISTMAS DAY`)-[r]-(target:`CRATCHIT FAMILY`) - RETURN r - :result:, ) type='DIRECTED' properties={'keywords': '"celebration, tradition""celebration, unity"', 'description': '"The Cratchit Family gathers to celebrate Christmas Day, reflecting their togetherness and joy despite their hardships.""The Cratchit Family\'s celebration on Christmas Day emphasizes their unity and joy in sharing the holiday together."', 'weight': 19.0, 'source_id': 'chunk-7e2e7ebcc19a53b399dc03aded4743e7chunk-19d72c57ae3408758b18d2568e86dc6b'}> -2024-10-30 06:06:27,505 - lightrag - INFO - _check_edge_existence:query:MATCH (a:`MARTHA CRATCHIT`)-[r]-(b:`PETER CRATCHIT`) RETURN COUNT(r) > 0 AS edgeExists:result:True -2024-10-30 06:06:27,641 - lightrag - INFO - get_edge:query: - MATCH (source:`MARTHA CRATCHIT`)-[r]-(target:`PETER CRATCHIT`) - RETURN r - :result:, ) type='DIRECTED' properties={'keywords': '"sibling relationship, family dynamics"', 'description': '"Peter and Martha interact as siblings during the Christmas gathering, reflecting familial bonds and shared experiences."', 'weight': 7.0, 'source_id': 'chunk-19d72c57ae3408758b18d2568e86dc6b'}> -2024-10-30 06:06:27,779 - lightrag - INFO - _check_edge_existence:query:MATCH (a:`MARTHA CRATCHIT`)-[r]-(b:`THE COUNTESS`) RETURN COUNT(r) > 0 AS edgeExists:result:True -2024-10-30 06:06:27,915 - lightrag - INFO - get_edge:query: - MATCH (source:`MARTHA CRATCHIT`)-[r]-(target:`THE COUNTESS`) - RETURN r - :result:, ) type='DIRECTED' properties={'keywords': '"social aspirations, class contrast"', 'description': '"Martha’s mention of having seen the Countess represents her connection to higher social circles and dreams beyond her current situation."', 'weight': 5.0, 'source_id': 'chunk-19d72c57ae3408758b18d2568e86dc6b'}> -2024-10-30 06:06:28,057 - lightrag - INFO - _check_edge_existence:query:MATCH (a:`THE CRATCHIT FAMILY`)-[r]-(b:`TINY TIM`) RETURN COUNT(r) > 0 AS edgeExists:result:True -2024-10-30 06:06:28,192 - lightrag - INFO - get_edge:query: - MATCH (source:`THE CRATCHIT FAMILY`)-[r]-(target:`TINY TIM`) - RETURN r - :result:, ) type='DIRECTED' properties={'keywords': '"family unity, hope"', 'description': '"Tiny Tim is an integral part of the Cratchit family, embodying their hopes and joys during the Christmas festivities."', 'weight': 9.0, 'source_id': 'chunk-19d72c57ae3408758b18d2568e86dc6b'}> -2024-10-30 06:06:28,364 - lightrag - INFO - _check_edge_existence:query:MATCH (a:`BOB CRATCHIT`)-[r]-(b:`THE GATHERING`) RETURN COUNT(r) > 0 AS edgeExists:result:True -2024-10-30 06:06:28,498 - lightrag - INFO - get_edge:query: - MATCH (source:`BOB CRATCHIT`)-[r]-(target:`THE GATHERING`) - RETURN r - :result:, ) type='DIRECTED' properties={'keywords': '"family commitment, celebration"', 'description': '"Bob Cratchit leads his family in the Christmas Gathering, showcasing their love and commitment to celebrating together despite worries."', 'weight': 8.0, 'source_id': 'chunk-19d72c57ae3408758b18d2568e86dc6b'}> -2024-10-30 06:06:28,635 - lightrag - INFO - _check_edge_existence:query:MATCH (a:`THE GATHERING`)-[r]-(b:`THE SPIRIT`) RETURN COUNT(r) > 0 AS edgeExists:result:True -2024-10-30 06:06:28,768 - lightrag - INFO - get_edge:query: - MATCH (source:`THE GATHERING`)-[r]-(target:`THE SPIRIT`) - RETURN r - :result:, ) type='DIRECTED' properties={'keywords': '"holiday influence, spirit embodiment"', 'description': '"The Spirit enhances The Gathering by infusing it with joy and positivity, transforming the atmosphere into one of celebration."', 'weight': 9.0, 'source_id': 'chunk-19d72c57ae3408758b18d2568e86dc6b'}> -2024-10-30 06:06:28,903 - lightrag - INFO - _check_edge_existence:query:MATCH (a:`CHRISTMAS`)-[r]-(b:`THE LIGHTHOUSE`) RETURN COUNT(r) > 0 AS edgeExists:result:True -2024-10-30 06:06:29,038 - lightrag - INFO - get_edge:query: - MATCH (source:`CHRISTMAS`)-[r]-(target:`THE LIGHTHOUSE`) - RETURN r - :result:, ) type='DIRECTED' properties={'keywords': '"hope, celebration"', 'description': '"The Lighthouse is a site where Christmas is celebrated, symbolizing hope and warmth in a bleak environment."', 'weight': 7.0, 'source_id': 'chunk-91614df5cb74cbe5e109a338a82041e9'}> -2024-10-30 06:06:29,177 - lightrag - INFO - _check_edge_existence:query:MATCH (a:`CHRISTMAS`)-[r]-(b:`THE SHIP`) RETURN COUNT(r) > 0 AS edgeExists:result:True -2024-10-30 06:06:29,311 - lightrag - INFO - get_edge:query: - MATCH (source:`CHRISTMAS`)-[r]-(target:`THE SHIP`) - RETURN r - :result:, ) type='DIRECTED' properties={'keywords': '"unity, shared experience"', 'description': '"The Ship\'s crew celebrates Christmas together, creating a sense of unity and shared joy despite their circumstances."', 'weight': 8.0, 'source_id': 'chunk-91614df5cb74cbe5e109a338a82041e9'}> -2024-10-30 06:06:29,452 - lightrag - INFO - _check_edge_existence:query:MATCH (a:`SCROOGE`)-[r]-(b:`THE LAMPLIGHTER`) RETURN COUNT(r) > 0 AS edgeExists:result:True -2024-10-30 06:06:29,585 - lightrag - INFO - get_edge:query: - MATCH (source:`SCROOGE`)-[r]-(target:`THE LAMPLIGHTER`) - RETURN r - :result:, ) type='DIRECTED' properties={'keywords': '"contrast, positivity"', 'description': '"The Lamplighter\'s cheerful demeanor contrasts with Scrooge\'s initial outlook, highlighting the possibility of joy in life."', 'weight': 6.0, 'source_id': 'chunk-91614df5cb74cbe5e109a338a82041e9'}> -2024-10-30 06:06:29,723 - lightrag - INFO - _check_edge_existence:query:MATCH (a:`THE HUT`)-[r]-(b:`THE OLD MAN`) RETURN COUNT(r) > 0 AS edgeExists:result:True -2024-10-30 06:06:29,858 - lightrag - INFO - get_edge:query: - MATCH (source:`THE HUT`)-[r]-(target:`THE OLD MAN`) - RETURN r - :result:, ) type='DIRECTED' properties={'keywords': '"tradition, family gathering"', 'description': '"The Old Man leads the gathering in song within the Hut, showcasing the warmth of family during Christmas."', 'weight': 8.0, 'source_id': 'chunk-91614df5cb74cbe5e109a338a82041e9'}> -2024-10-30 06:06:30,000 - lightrag - INFO - _check_edge_existence:query:MATCH (a:`THE HUT`)-[r]-(b:`THE MINERS`) RETURN COUNT(r) > 0 AS edgeExists:result:True -2024-10-30 06:06:30,135 - lightrag - INFO - get_edge:query: - MATCH (source:`THE HUT`)-[r]-(target:`THE MINERS`) - RETURN r - :result:, ) type='DIRECTED' properties={'keywords': '"community, resilience"', 'description': '"The Miners find solace and community in the Hut during Christmas, emphasizing the importance of gathering during difficult times."', 'weight': 7.0, 'source_id': 'chunk-91614df5cb74cbe5e109a338a82041e9'}> -2024-10-30 06:06:30,269 - lightrag - INFO - _check_edge_existence:query:MATCH (a:`THE OFFICERS`)-[r]-(b:`THE SHIP`) RETURN COUNT(r) > 0 AS edgeExists:result:True -2024-10-30 06:06:30,405 - lightrag - INFO - get_edge:query: - MATCH (source:`THE OFFICERS`)-[r]-(target:`THE SHIP`) - RETURN r - :result:, ) type='DIRECTED' properties={'keywords': '"camaraderie, festive spirit"', 'description': '"The Officers aboard the Ship share in the collective spirit of Christmas, contributing to the festive atmosphere during their duty."', 'weight': 8.0, 'source_id': 'chunk-91614df5cb74cbe5e109a338a82041e9'}> -2024-10-30 06:06:30,550 - lightrag - INFO - _check_edge_existence:query:MATCH (a:`THE LIGHTHOUSE`)-[r]-(b:`THE WAVE`) RETURN COUNT(r) > 0 AS edgeExists:result:True -2024-10-30 06:06:30,686 - lightrag - INFO - get_edge:query: - MATCH (source:`THE LIGHTHOUSE`)-[r]-(target:`THE WAVE`) - RETURN r - :result:, ) type='DIRECTED' properties={'keywords': '"struggle, isolation"', 'description': '"The Wave\'s constant battering of the Lighthouse highlights the isolation and challenges faced by those in such remote environments."', 'weight': 7.0, 'source_id': 'chunk-91614df5cb74cbe5e109a338a82041e9'}> -2024-10-30 06:06:30,825 - lightrag - INFO - _check_edge_existence:query:MATCH (a:`STORM-BIRDS`)-[r]-(b:`THE LIGHTHOUSE`) RETURN COUNT(r) > 0 AS edgeExists:result:True -2024-10-30 06:06:30,960 - lightrag - INFO - get_edge:query: - MATCH (source:`STORM-BIRDS`)-[r]-(target:`THE LIGHTHOUSE`) - RETURN r - :result:, ) type='DIRECTED' properties={'keywords': '"wildness, nature"', 'description': '"Storm-Birds surrounding the Lighthouse reflect the wildness and unpredictability of the sea, enhancing the sense of danger and solitude."', 'weight': 6.0, 'source_id': 'chunk-91614df5cb74cbe5e109a338a82041e9'}> -2024-10-30 06:06:31,100 - lightrag - INFO - _check_edge_existence:query:MATCH (a:`SCROOGE`)-[r]-(b:`SCROOGE'S NIECE`) RETURN COUNT(r) > 0 AS edgeExists:result:True -2024-10-30 06:06:31,233 - lightrag - INFO - get_edge:query: - MATCH (source:`SCROOGE`)-[r]-(target:`SCROOGE'S NIECE`) - RETURN r - :result:, ) type='DIRECTED' properties={'keywords': '"family bonds, celebration""ideological conflict, family dynamics"', 'description': '"Scrooge\'s Niece expresses indignation towards Scrooge\'s belief that Christmas is a humbug, demonstrating her strong opinions against his views.""Scrooge\'s niece embraces the joyful atmosphere of the celebration, engaging with family and inviting good-natured fun."', 'weight': 15.0, 'source_id': 'chunk-773d0df1dd25c356f7b771d780583e09chunk-43c9bee23adfa77aa9dedd22401bba7d'}> -2024-10-30 06:06:31,368 - lightrag - INFO - _check_edge_existence:query:MATCH (a:`SCROOGE'S NEPHEW`)-[r]-(b:`SCROOGE'S NIECE`) RETURN COUNT(r) > 0 AS edgeExists:result:True -2024-10-30 06:06:31,506 - lightrag - INFO - get_edge:query: - MATCH (source:`SCROOGE'S NEPHEW`)-[r]-(target:`SCROOGE'S NIECE`) - RETURN r - :result:, ) type='DIRECTED' properties={'keywords': '"family interaction, playful rivalry""shared humor, family bonding"', 'description': '"Scrooge\'s Nephew and Scrooge\'s Niece share a humorous dynamic, both laughing and contrasting with Scrooge\'s grim outlook.""Scrooge\'s nephew and niece engage in playful banter and competition during the games, enhancing their familial bond."', 'weight': 15.0, 'source_id': 'chunk-773d0df1dd25c356f7b771d780583e09chunk-43c9bee23adfa77aa9dedd22401bba7d'}> -2024-10-30 06:06:31,645 - lightrag - INFO - _check_edge_existence:query:MATCH (a:`SCROOGE'S NIECE`)-[r]-(b:`TOPPER`) RETURN COUNT(r) > 0 AS edgeExists:result:True -2024-10-30 06:06:31,781 - lightrag - INFO - get_edge:query: - MATCH (source:`SCROOGE'S NIECE`)-[r]-(target:`TOPPER`) - RETURN r - :result:, ) type='DIRECTED' properties={'keywords': '"romantic interest, social dynamics"', 'description': '"Topper shows interest in Scrooge\'s Niece, indicating a budding romantic interest during the family gathering."', 'weight': 6.0, 'source_id': 'chunk-773d0df1dd25c356f7b771d780583e09'}> -2024-10-30 06:06:31,929 - lightrag - INFO - _check_edge_existence:query:MATCH (a:`SCROOGE'S NIECE`)-[r]-(b:`SCROOGE'S NIECE'S SISTERS`) RETURN COUNT(r) > 0 AS edgeExists:result:True -2024-10-30 06:06:32,068 - lightrag - INFO - get_edge:query: - MATCH (source:`SCROOGE'S NIECE`)-[r]-(target:`SCROOGE'S NIECE'S SISTERS`) - RETURN r - :result:, ) type='DIRECTED' properties={'keywords': '"sisterly bond, shared sentiment"', 'description': '"Scrooge\'s Niece\'s Sisters share the same lively spirit and engage in laughter, supporting her sentiments towards their uncle Scrooge."', 'weight': 8.0, 'source_id': 'chunk-773d0df1dd25c356f7b771d780583e09'}> -2024-10-30 06:06:32,206 - lightrag - INFO - _check_edge_existence:query:MATCH (a:`DINNER`)-[r]-(b:`SCROOGE'S NEPHEW`) RETURN COUNT(r) > 0 AS edgeExists:result:True -2024-10-30 06:06:32,341 - lightrag - INFO - get_edge:query: - MATCH (source:`DINNER`)-[r]-(target:`SCROOGE'S NEPHEW`) - RETURN r - :result:, ) type='DIRECTED' properties={'keywords': '"family, celebration"', 'description': '"Scrooge\'s Nephew emphasizes the pleasure of sharing Dinner with loved ones, highlighting the importance of family connections during holiday gatherings."', 'weight': 9.0, 'source_id': 'chunk-773d0df1dd25c356f7b771d780583e09'}> -2024-10-30 06:06:32,484 - lightrag - INFO - _check_edge_existence:query:MATCH (a:`SCROOGE'S NEPHEW`)-[r]-(b:`TOPPER`) RETURN COUNT(r) > 0 AS edgeExists:result:True -2024-10-30 06:06:32,618 - lightrag - INFO - get_edge:query: - MATCH (source:`SCROOGE'S NEPHEW`)-[r]-(target:`TOPPER`) - RETURN r - :result:, ) type='DIRECTED' properties={'keywords': '"social interaction, camaraderie"', 'description': '"Topper interacts with Scrooge\'s Nephew during the festivities, engaging in dialogue that enhances the light-hearted atmosphere of the gathering."', 'weight': 6.0, 'source_id': 'chunk-773d0df1dd25c356f7b771d780583e09'}> -2024-10-30 06:06:32,759 - lightrag - INFO - _check_edge_existence:query:MATCH (a:`SCROOGE`)-[r]-(b:`TOPPER`) RETURN COUNT(r) > 0 AS edgeExists:result:True -2024-10-30 06:06:32,891 - lightrag - INFO - get_edge:query: - MATCH (source:`SCROOGE`)-[r]-(target:`TOPPER`) - RETURN r - :result:, ) type='DIRECTED' properties={'keywords': '"observation, merriment"', 'description': '"Scrooge observes Topper\'s antics and expressions of joy during the games, revealing a reflection on human nature and merriment."', 'weight': 6.0, 'source_id': 'chunk-43c9bee23adfa77aa9dedd22401bba7d'}> -2024-10-30 06:06:33,030 - lightrag - INFO - _check_edge_existence:query:MATCH (a:`CHRISTMAS HOLIDAYS`)-[r]-(b:`SCROOGE`) RETURN COUNT(r) > 0 AS edgeExists:result:True -2024-10-30 06:06:33,165 - lightrag - INFO - get_edge:query: - MATCH (source:`CHRISTMAS HOLIDAYS`)-[r]-(target:`SCROOGE`) - RETURN r - :result:, ) type='DIRECTED' properties={'keywords': '"transformation, significance of time"', 'description': '"Christmas Holidays are integral to Scrooge\'s journey, representing the time of year that prompts his change and reinstates joy."', 'weight': 8.0, 'source_id': 'chunk-e7637ff18c5ded77a68cce0a87883fad'}> -2024-10-30 06:06:33,306 - lightrag - INFO - _check_edge_existence:query:MATCH (a:`IGNORANCE`)-[r]-(b:`SPIRIT`) RETURN COUNT(r) > 0 AS edgeExists:result:True -2024-10-30 06:06:33,437 - lightrag - INFO - get_edge:query: - MATCH (source:`IGNORANCE`)-[r]-(target:`SPIRIT`) - RETURN r - :result:, ) type='DIRECTED' properties={'keywords': '"social issues, awareness""social warning, awareness"', 'description': '"The Spirit introduces Ignorance to Scrooge as a representation of societal failures, urging him to acknowledge and address these issues.""The Spirit points out Ignorance, highlighting the need for awareness and responsibility toward societal issues."', 'weight': 15.0, 'source_id': 'chunk-e7637ff18c5ded77a68cce0a87883fadchunk-02baee20cc9463dbe08170a8e1043e32'}> -2024-10-30 06:06:33,575 - lightrag - INFO - _check_edge_existence:query:MATCH (a:`SPIRIT`)-[r]-(b:`WANT`) RETURN COUNT(r) > 0 AS edgeExists:result:True -2024-10-30 06:06:33,706 - lightrag - INFO - get_edge:query: - MATCH (source:`SPIRIT`)-[r]-(target:`WANT`) - RETURN r - :result:, ) type='DIRECTED' properties={'keywords': '"social issues, need for compassion""social warning, deprivation"', 'description': '"The Spirit points out Want, symbolizing the dire consequences of neglecting societal needs.""The Spirit presents Want along with Ignorance, symbolizing the plight of the less fortunate and appealing for compassion."', 'weight': 15.0, 'source_id': 'chunk-e7637ff18c5ded77a68cce0a87883fadchunk-02baee20cc9463dbe08170a8e1043e32'}> -2024-10-30 06:06:33,847 - lightrag - INFO - _check_edge_existence:query:MATCH (a:`CITY`)-[r]-(b:`SPIRIT`) RETURN COUNT(r) > 0 AS edgeExists:result:True -2024-10-30 06:06:33,982 - lightrag - INFO - get_edge:query: - MATCH (source:`CITY`)-[r]-(target:`SPIRIT`) - RETURN r - :result:, ) type='DIRECTED' properties={'keywords': '"atmospheric change, reality"', 'description': '"The Spirit’s presence affects the atmosphere of the City, showcasing the stark realities of life and death surrounding Scrooge."', 'weight': 6.0, 'source_id': 'chunk-02baee20cc9463dbe08170a8e1043e32'}> -2024-10-30 06:06:34,123 - lightrag - INFO - _check_edge_existence:query:MATCH (a:`JACOB`)-[r]-(b:`SCROOGE`) RETURN COUNT(r) > 0 AS edgeExists:result:True -2024-10-30 06:06:34,261 - lightrag - INFO - get_edge:query: - MATCH (source:`JACOB`)-[r]-(target:`SCROOGE`) - RETURN r - :result:, ) type='DIRECTED' properties={'keywords': '"reflection, past relationship"', 'description': '"Scrooge reflects on his past relationship with Jacob, influenced by feelings of guilt and loss after Jacob\'s death."', 'weight': 8.0, 'source_id': 'chunk-f1a4fbcf1ed86864b9bfd5e8dba4c683'}> -2024-10-30 06:06:34,399 - lightrag - INFO - _check_edge_existence:query:MATCH (a:`THE LOW-BROWED SHOP`)-[r]-(b:`THE TOWN`) RETURN COUNT(r) > 0 AS edgeExists:result:True -2024-10-30 06:06:34,531 - lightrag - INFO - get_edge:query: - MATCH (source:`THE LOW-BROWED SHOP`)-[r]-(target:`THE TOWN`) - RETURN r - :result:, ) type='DIRECTED' properties={'keywords': '"socioeconomic issues, decay"', 'description': '"The Low-Browed Shop exists within The Town, reflecting its degradation and the poor conditions of its inhabitants."', 'weight': 7.0, 'source_id': 'chunk-f1a4fbcf1ed86864b9bfd5e8dba4c683'}> -2024-10-30 06:06:34,675 - lightrag - INFO - _check_edge_existence:query:MATCH (a:`RED-FACED GENTLEMAN`)-[r]-(b:`SCROOGE`) RETURN COUNT(r) > 0 AS edgeExists:result:True -2024-10-30 06:06:34,808 - lightrag - INFO - get_edge:query: - MATCH (source:`RED-FACED GENTLEMAN`)-[r]-(target:`SCROOGE`) - RETURN r - :result:, ) type='DIRECTED' properties={'keywords': '"humor, communal context"', 'description': '"Scrooge observes the conversation of the Red-faced Gentleman, which offers humorous insights into communal attitudes toward death."', 'weight': 6.0, 'source_id': 'chunk-f1a4fbcf1ed86864b9bfd5e8dba4c683'}> -2024-10-30 06:06:34,943 - lightrag - INFO - _check_edge_existence:query:MATCH (a:`GENTLEMAN WITH THE EXCRESCENCE`)-[r]-(b:`RED-FACED GENTLEMAN`) RETURN COUNT(r) > 0 AS edgeExists:result:True -2024-10-30 06:06:35,079 - lightrag - INFO - get_edge:query: - MATCH (source:`GENTLEMAN WITH THE EXCRESCENCE`)-[r]-(target:`RED-FACED GENTLEMAN`) - RETURN r - :result:, ) type='DIRECTED' properties={'keywords': '"social interaction, humor"', 'description': '"Both gentlemen engage in light-hearted banter about the funeral, reflecting casual societal norms in their discussion."', 'weight': 7.0, 'source_id': 'chunk-f1a4fbcf1ed86864b9bfd5e8dba4c683'}> -2024-10-30 06:06:35,221 - lightrag - INFO - _check_edge_existence:query:MATCH (a:`SCROOGE`)-[r]-(b:`THE PHANTOM`) RETURN COUNT(r) > 0 AS edgeExists:result:True -2024-10-30 06:06:35,354 - lightrag - INFO - get_edge:query: - MATCH (source:`SCROOGE`)-[r]-(target:`THE PHANTOM`) - RETURN r - :result:, ) type='DIRECTED' properties={'keywords': '"guidance, self-reflection"', 'description': '"Scrooge interacts with the Phantom, which guides him through reflections on his life and future, emphasizing his journey of change."', 'weight': 9.0, 'source_id': 'chunk-f1a4fbcf1ed86864b9bfd5e8dba4c683'}> -2024-10-30 06:06:35,494 - lightrag - INFO - _check_edge_existence:query:MATCH (a:`THE PEOPLE`)-[r]-(b:`THE QUARTER`) RETURN COUNT(r) > 0 AS edgeExists:result:True -2024-10-30 06:06:35,627 - lightrag - INFO - get_edge:query: - MATCH (source:`THE PEOPLE`)-[r]-(target:`THE QUARTER`) - RETURN r - :result:, ) type='DIRECTED' properties={'keywords': '"socioeconomic struggle, societal neglect"', 'description': '"The People inhabit The Quarter, which is characterized by poverty, crime, and a sense of neglect."', 'weight': 9.0, 'source_id': 'chunk-f1a4fbcf1ed86864b9bfd5e8dba4c683'}> -2024-10-30 06:06:35,766 - lightrag - INFO - _check_edge_existence:query:MATCH (a:`THE LOW-BROWED SHOP`)-[r]-(b:`THE PEOPLE`) RETURN COUNT(r) > 0 AS edgeExists:result:True -2024-10-30 06:06:35,898 - lightrag - INFO - get_edge:query: - MATCH (source:`THE LOW-BROWED SHOP`)-[r]-(target:`THE PEOPLE`) - RETURN r - :result:, ) type='DIRECTED' properties={'keywords': '"desperation, commerce"', 'description': '"The Low-Browed Shop serves the needs of The People, representing the harsh realities of their lives in the quarter."', 'weight': 8.0, 'source_id': 'chunk-f1a4fbcf1ed86864b9bfd5e8dba4c683'}> -2024-10-30 06:06:36,036 - lightrag - INFO - _check_edge_existence:query:MATCH (a:`OLD SCRATCH`)-[r]-(b:`THE FUNERAL`) RETURN COUNT(r) > 0 AS edgeExists:result:True -2024-10-30 06:06:36,172 - lightrag - INFO - get_edge:query: - MATCH (source:`OLD SCRATCH`)-[r]-(target:`THE FUNERAL`) - RETURN r - :result:, ) type='DIRECTED' properties={'keywords': '"morbid humor, societal views"', 'description': '"The concept of Old Scratch is invoked in the context of discussions about The Funeral, highlighting societal attitudes towards death."', 'weight': 7.0, 'source_id': 'chunk-f1a4fbcf1ed86864b9bfd5e8dba4c683'}> -2024-10-30 06:06:36,316 - lightrag - INFO - _check_edge_existence:query:MATCH (a:`MRS. DILBER`)-[r]-(b:`OLD JOE`) RETURN COUNT(r) > 0 AS edgeExists:result:True -2024-10-30 06:06:36,450 - lightrag - INFO - get_edge:query: - MATCH (source:`MRS. DILBER`)-[r]-(target:`OLD JOE`) - RETURN r - :result:, ) type='DIRECTED' properties={'keywords': '"business interaction, appraisal"', 'description': '"Old Joe assesses the belongings of Mrs. Dilber, reinforcing his role as an appraiser of stolen goods and demonstrating a tendency to be generous towards women."', 'weight': 6.0, 'source_id': 'chunk-60fc063c79fc0d4acc91a57e79de04dc'}> -2024-10-30 06:06:36,590 - lightrag - INFO - _check_edge_existence:query:MATCH (a:`MRS. DILBER`)-[r]-(b:`THE WOMAN`) RETURN COUNT(r) > 0 AS edgeExists:result:True -2024-10-30 06:06:36,730 - lightrag - INFO - get_edge:query: - MATCH (source:`MRS. DILBER`)-[r]-(target:`THE WOMAN`) - RETURN r - :result:, ) type='DIRECTED' properties={'keywords': '"moral discussion, camaraderie"', 'description': '"Mrs. Dilber and The Woman share a conversational dynamic that touches on the moral implications of their actions, creating a camaraderie as they discuss the deceased."', 'weight': 5.0, 'source_id': 'chunk-60fc063c79fc0d4acc91a57e79de04dc'}> -2024-10-30 06:06:36,869 - lightrag - INFO - _check_edge_existence:query:MATCH (a:`OLD JOE`)-[r]-(b:`THE WOMAN`) RETURN COUNT(r) > 0 AS edgeExists:result:True -2024-10-30 06:06:37,003 - lightrag - INFO - get_edge:query: - MATCH (source:`OLD JOE`)-[r]-(target:`THE WOMAN`) - RETURN r - :result:, ) type='DIRECTED' properties={'keywords': '"business interaction, appraisal"', 'description': '"Old Joe interacts with The Woman as she encourages him to evaluate her stolen bundle, indicating a business-like relationship based on appraisal and exchange."', 'weight': 7.0, 'source_id': 'chunk-60fc063c79fc0d4acc91a57e79de04dc'}> -2024-10-30 06:06:37,143 - lightrag - INFO - _check_edge_existence:query:MATCH (a:`THE MAN IN FADED BLACK`)-[r]-(b:`THE WOMAN`) RETURN COUNT(r) > 0 AS edgeExists:result:True -2024-10-30 06:06:37,276 - lightrag - INFO - get_edge:query: - MATCH (source:`THE MAN IN FADED BLACK`)-[r]-(target:`THE WOMAN`) - RETURN r - :result:, ) type='DIRECTED' properties={'keywords': '"shared activity, community"', 'description': '"The Man in Faded Black shares his modest plunder with The Woman, building a sense of community among the characters involved."', 'weight': 5.0, 'source_id': 'chunk-60fc063c79fc0d4acc91a57e79de04dc'}> -2024-10-30 06:06:37,423 - lightrag - INFO - _check_edge_existence:query:MATCH (a:`OLD JOE`)-[r]-(b:`THE GATHERING`) RETURN COUNT(r) > 0 AS edgeExists:result:True -2024-10-30 06:06:37,560 - lightrag - INFO - get_edge:query: - MATCH (source:`OLD JOE`)-[r]-(target:`THE GATHERING`) - RETURN r - :result:, ) type='DIRECTED' properties={'keywords': '"facilitation, social dynamics"', 'description': '"Old Joe facilitates The Gathering by appraising the items brought by each character, serving as a focal point for their interactions."', 'weight': 9.0, 'source_id': 'chunk-60fc063c79fc0d4acc91a57e79de04dc'}> -2024-10-30 06:06:37,694 - lightrag - INFO - _check_edge_existence:query:MATCH (a:`SCROOGE`)-[r]-(b:`THE DECEASED MAN`) RETURN COUNT(r) > 0 AS edgeExists:result:True -2024-10-30 06:06:37,829 - lightrag - INFO - get_edge:query: - MATCH (source:`SCROOGE`)-[r]-(target:`THE DECEASED MAN`) - RETURN r - :result:, ) type='DIRECTED' properties={'keywords': '"moral reflection, consequence"', 'description': '"Scrooge reflects on the life and death of The Deceased Man, prompting introspection about his own life choices."', 'weight': 9.0, 'source_id': 'chunk-e1f29eeadc1d8ab46dc8a0bbd3c56b64'}> -2024-10-30 06:06:37,971 - lightrag - INFO - _check_edge_existence:query:MATCH (a:`JOE`)-[r]-(b:`SCROOGE`) RETURN COUNT(r) > 0 AS edgeExists:result:True -2024-10-30 06:06:38,108 - lightrag - INFO - get_edge:query: - MATCH (source:`JOE`)-[r]-(target:`SCROOGE`) - RETURN r - :result:, ) type='DIRECTED' properties={'keywords': '"perspective contrast, moral dilemma"', 'description': '"Joe\'s cynical attitude towards death and belongings contrasts with Scrooge\'s moral horror, creating a tension between their perspectives."', 'weight': 6.0, 'source_id': 'chunk-e1f29eeadc1d8ab46dc8a0bbd3c56b64'}> -2024-10-30 06:06:38,250 - lightrag - INFO - _check_edge_existence:query:MATCH (a:`DEATH`)-[r]-(b:`THE BED`) RETURN COUNT(r) > 0 AS edgeExists:result:True -2024-10-30 06:06:38,420 - lightrag - INFO - get_edge:query: - MATCH (source:`DEATH`)-[r]-(target:`THE BED`) - RETURN r - :result:, ) type='DIRECTED' properties={'keywords': '"finality, mortality"', 'description': '"Death is inherently linked to The Bed as the resting place of the deceased, symbolizing the finality of life and the legacy left behind."', 'weight': 8.0, 'source_id': 'chunk-e1f29eeadc1d8ab46dc8a0bbd3c56b64'}> -2024-10-30 06:06:38,562 - lightrag - INFO - _check_edge_existence:query:MATCH (a:`THE BUNDLE`)-[r]-(b:`THE DECEASED MAN`) RETURN COUNT(r) > 0 AS edgeExists:result:True -2024-10-30 06:06:38,699 - lightrag - INFO - get_edge:query: - MATCH (source:`THE BUNDLE`)-[r]-(target:`THE DECEASED MAN`) - RETURN r - :result:, ) type='DIRECTED' properties={'keywords': '"material legacy, value"', 'description': '"The Bundle contains the belongings that once belonged to The Deceased Man, illustrating the material value placed on his life after death."', 'weight': 7.0, 'source_id': 'chunk-e1f29eeadc1d8ab46dc8a0bbd3c56b64'}> -2024-10-30 06:06:38,840 - lightrag - INFO - _check_edge_existence:query:MATCH (a:`THE BLANKETS`)-[r]-(b:`THE CORPSE`) RETURN COUNT(r) > 0 AS edgeExists:result:True -2024-10-30 06:06:38,975 - lightrag - INFO - get_edge:query: - MATCH (source:`THE BLANKETS`)-[r]-(target:`THE CORPSE`) - RETURN r - :result:, ) type='DIRECTED' properties={'keywords': '"care, human connection"', 'description': '"The Blankets are directly associated with The Corpse, indicating the human connections and care traditionally shown to the dead."', 'weight': 8.0, 'source_id': 'chunk-e1f29eeadc1d8ab46dc8a0bbd3c56b64'}> -2024-10-30 06:06:39,112 - lightrag - INFO - _check_edge_existence:query:MATCH (a:`THE BLANKET`)-[r]-(b:`THE OIL`) RETURN COUNT(r) > 0 AS edgeExists:result:True -2024-10-30 06:06:39,247 - lightrag - INFO - get_edge:query: - MATCH (source:`THE BLANKET`)-[r]-(target:`THE OIL`) - RETURN r - :result:, ) type='DIRECTED' properties={'keywords': '"materialism, carelessness"', 'description': '"The Oil’s presence suggests a practical yet insensitive attitude towards the care of The Blanket and the deceased."', 'weight': 6.0, 'source_id': 'chunk-e1f29eeadc1d8ab46dc8a0bbd3c56b64'}> -2024-10-30 06:06:39,389 - lightrag - INFO - _check_edge_existence:query:MATCH (a:`SCROOGE`)-[r]-(b:`THE CORPSE`) RETURN COUNT(r) > 0 AS edgeExists:result:True -2024-10-30 06:06:39,525 - lightrag - INFO - get_edge:query: - MATCH (source:`SCROOGE`)-[r]-(target:`THE CORPSE`) - RETURN r - :result:, ) type='DIRECTED' properties={'keywords': '"introspection, life choices"', 'description': '"Scrooge’s horror upon seeing The Corpse prompts deep reflection on his own life choices and morality."', 'weight': 9.0, 'source_id': 'chunk-e1f29eeadc1d8ab46dc8a0bbd3c56b64'}> -2024-10-30 06:06:39,665 - lightrag - INFO - _check_edge_existence:query:MATCH (a:`BOB CRATCHIT`)-[r]-(b:`CAROLINE`) RETURN COUNT(r) > 0 AS edgeExists:result:True -2024-10-30 06:06:39,802 - lightrag - INFO - get_edge:query: - MATCH (source:`BOB CRATCHIT`)-[r]-(target:`CAROLINE`) - RETURN r - :result:, ) type='DIRECTED' properties={'keywords': '"hope, financial strain"', 'description': '"Caroline expresses hope combined with anxiety regarding their financial situation, affecting her relationship with Bob Cratchit."', 'weight': 7.0, 'source_id': 'chunk-83ac129dc9b56f84c46760d153d68e93'}> -2024-10-30 06:06:39,942 - lightrag - INFO - _check_edge_existence:query:MATCH (a:`SPIRIT`)-[r]-(b:`THE EVENT OF DEATH`) RETURN COUNT(r) > 0 AS edgeExists:result:True -2024-10-30 06:06:40,080 - lightrag - INFO - get_edge:query: - MATCH (source:`SPIRIT`)-[r]-(target:`THE EVENT OF DEATH`) - RETURN r - :result:, ) type='DIRECTED' properties={'keywords': '"emotional impact, mortality"', 'description': '"The Spirit highlights the emotional repercussions of The Event of Death, demonstrating the profound effects on those left behind."', 'weight': 8.0, 'source_id': 'chunk-83ac129dc9b56f84c46760d153d68e93'}> -2024-10-30 06:06:40,221 - lightrag - INFO - _check_edge_existence:query:MATCH (a:`SCROOGE`)-[r]-(b:`THE CRATCHIT HOUSE`) RETURN COUNT(r) > 0 AS edgeExists:result:True -2024-10-30 06:06:40,356 - lightrag - INFO - get_edge:query: - MATCH (source:`SCROOGE`)-[r]-(target:`THE CRATCHIT HOUSE`) - RETURN r - :result:, ) type='DIRECTED' properties={'keywords': '"compassion, familial connection"', 'description': '"Scrooge\'s reflections in The Cratchit House illustrate his evolving understanding of compassion and connection to others."', 'weight': 9.0, 'source_id': 'chunk-83ac129dc9b56f84c46760d153d68e93'}> -2024-10-30 06:06:40,496 - lightrag - INFO - _check_edge_existence:query:MATCH (a:`THE HUSBAND`)-[r]-(b:`THE MOTHER`) RETURN COUNT(r) > 0 AS edgeExists:result:True -2024-10-30 06:06:40,632 - lightrag - INFO - get_edge:query: - MATCH (source:`THE HUSBAND`)-[r]-(target:`THE MOTHER`) - RETURN r - :result:, ) type='DIRECTED' properties={'keywords': '"marital dynamics, emotional strain"', 'description': '"The Mother expresses anxiety and eagerness as she interacts with her husband, showcasing the emotional strain caused by uncertainty."', 'weight': 8.0, 'source_id': 'chunk-83ac129dc9b56f84c46760d153d68e93'}> -2024-10-30 06:06:40,773 - lightrag - INFO - _check_edge_existence:query:MATCH (a:`CAROLINE`)-[r]-(b:`THE HUSBAND`) RETURN COUNT(r) > 0 AS edgeExists:result:True -2024-10-30 06:06:40,909 - lightrag - INFO - get_edge:query: - MATCH (source:`CAROLINE`)-[r]-(target:`THE HUSBAND`) - RETURN r - :result:, ) type='DIRECTED' properties={'keywords': '"communication, emotional burden"', 'description': '"The Husband and Caroline\'s conversation illustrates the tension between optimism and the reality of their situation after receiving distressing news."', 'weight': 7.0, 'source_id': 'chunk-83ac129dc9b56f84c46760d153d68e93'}> -2024-10-30 06:06:41,048 - lightrag - INFO - _check_edge_existence:query:MATCH (a:`PETER`)-[r]-(b:`THE CHILDREN`) RETURN COUNT(r) > 0 AS edgeExists:result:True -2024-10-30 06:06:41,183 - lightrag - INFO - get_edge:query: - MATCH (source:`PETER`)-[r]-(target:`THE CHILDREN`) - RETURN r - :result:, ) type='DIRECTED' properties={'keywords': '"leadership, sibling dynamics"', 'description': '"Peter acts as a stabilizing force among The Children, leading them in moments of uncertainty and representing familial responsibility."', 'weight': 6.0, 'source_id': 'chunk-83ac129dc9b56f84c46760d153d68e93'}> -2024-10-30 06:06:41,324 - lightrag - INFO - _check_edge_existence:query:MATCH (a:`THE CRATCHIT HOUSE`)-[r]-(b:`THE DEBT`) RETURN COUNT(r) > 0 AS edgeExists:result:True -2024-10-30 06:06:41,463 - lightrag - INFO - get_edge:query: - MATCH (source:`THE CRATCHIT HOUSE`)-[r]-(target:`THE DEBT`) - RETURN r - :result:, ) type='DIRECTED' properties={'keywords': '"financial burden, atmosphere"', 'description': '"The Debt looms over The Cratchit House, contributing to the emotional atmosphere and fears of its inhabitants during the story."', 'weight': 9.0, 'source_id': 'chunk-83ac129dc9b56f84c46760d153d68e93'}> -2024-10-30 06:06:41,603 - lightrag - INFO - _check_edge_existence:query:MATCH (a:`CAROLINE`)-[r]-(b:`HOPE`) RETURN COUNT(r) > 0 AS edgeExists:result:True -2024-10-30 06:06:41,732 - lightrag - INFO - get_edge:query: - MATCH (source:`CAROLINE`)-[r]-(target:`HOPE`) - RETURN r - :result:, ) type='DIRECTED' properties={'keywords': '"emotional resilience, motivation"', 'description': '"Hope influences Caroline\'s reactions and actions throughout the story, serving as both a motivator and a source of inner conflict."', 'weight': 8.0, 'source_id': 'chunk-83ac129dc9b56f84c46760d153d68e93'}> -2024-10-30 06:06:41,873 - lightrag - INFO - _check_edge_existence:query:MATCH (a:`BOB CRATCHIT`)-[r]-(b:`MR. SCROOGE'S NEPHEW`) RETURN COUNT(r) > 0 AS edgeExists:result:True -2024-10-30 06:06:42,009 - lightrag - INFO - get_edge:query: - MATCH (source:`BOB CRATCHIT`)-[r]-(target:`MR. SCROOGE'S NEPHEW`) - RETURN r - :result:, ) type='DIRECTED' properties={'keywords': '"kindness, support"', 'description': '"Bob Cratchit shares a positive interaction with Mr. Scrooge\'s Nephew, who expresses kindness and concern for his family."', 'weight': 7.0, 'source_id': 'chunk-1d4b58de5429cd1261370c231c8673e8'}> -2024-10-30 06:06:42,145 - lightrag - INFO - _check_edge_existence:query:MATCH (a:`BOB CRATCHIT`)-[r]-(b:`PETER`) RETURN COUNT(r) > 0 AS edgeExists:result:True -2024-10-30 06:06:42,279 - lightrag - INFO - get_edge:query: - MATCH (source:`BOB CRATCHIT`)-[r]-(target:`PETER`) - RETURN r - :result:, ) type='DIRECTED' properties={'keywords': '"family discussions, support"', 'description': '"Peter interacts with Bob Cratchit, showing the dynamics of a supportive family unit while discussing aspirations."', 'weight': 6.0, 'source_id': 'chunk-1d4b58de5429cd1261370c231c8673e8'}> -2024-10-30 06:06:42,417 - lightrag - INFO - _check_edge_existence:query:MATCH (a:`CHRISTMAS`)-[r]-(b:`TINY TIM`) RETURN COUNT(r) > 0 AS edgeExists:result:True -2024-10-30 06:06:42,548 - lightrag - INFO - get_edge:query: - MATCH (source:`CHRISTMAS`)-[r]-(target:`TINY TIM`) - RETURN r - :result:, ) type='DIRECTED' properties={'keywords': '"innocence, holiday spirit"', 'description': '"Tiny Tim represents the spirit of Christmas, being cherished by family during this festive occasion."', 'weight': 9.0, 'source_id': 'chunk-1d4b58de5429cd1261370c231c8673e8'}> -2024-10-30 06:06:42,685 - lightrag - INFO - _check_edge_existence:query:MATCH (a:`SCROOGE`)-[r]-(b:`THE GHOST OF CHRISTMAS YET TO COME`) RETURN COUNT(r) > 0 AS edgeExists:result:True -2024-10-30 06:06:42,818 - lightrag - INFO - get_edge:query: - MATCH (source:`SCROOGE`)-[r]-(target:`THE GHOST OF CHRISTMAS YET TO COME`) - RETURN r - :result:, ) type='DIRECTED' properties={'keywords': '"consequences, change""guidance, self-confrontation"', 'description': '"The Ghost guides Scrooge to confront his potential future that threatens his existence.""The Ghost is critical in revealing the consequences of Scrooge\'s life choices, pushing for change."', 'weight': 19.0, 'source_id': 'chunk-91572b3cd42786ba4cb2f180ca25cbf4'}> -2024-10-30 06:06:42,957 - lightrag - INFO - _check_edge_existence:query:MATCH (a:`GRAVE`)-[r]-(b:`SCROOGE`) RETURN COUNT(r) > 0 AS edgeExists:result:True -2024-10-30 06:06:43,090 - lightrag - INFO - get_edge:query: - MATCH (source:`GRAVE`)-[r]-(target:`SCROOGE`) - RETURN r - :result:, ) type='DIRECTED' properties={'keywords': '"mortality, reflection"', 'description': '"Scrooge is confronted with his own grave, symbolizing the ultimate outcome of his current lifestyle and actions."', 'weight': 10.0, 'source_id': 'chunk-91572b3cd42786ba4cb2f180ca25cbf4'}> -2024-10-30 06:06:43,230 - lightrag - INFO - _check_edge_existence:query:MATCH (a:`CHRISTMAS DAY`)-[r]-(b:`SCROOGE`) RETURN COUNT(r) > 0 AS edgeExists:result:True -2024-10-30 06:06:43,364 - lightrag - INFO - get_edge:query: - MATCH (source:`CHRISTMAS DAY`)-[r]-(target:`SCROOGE`) - RETURN r - :result:, ) type='DIRECTED' properties={'keywords': '"seasonal significance, renewal"', 'description': '"Scrooge\'s change in attitude and actions occur on Christmas Day, making it a pivotal event in his story."', 'weight': 9.0, 'source_id': 'chunk-90b95db5c53e4364a6bee36b7aa4d70f'}> -2024-10-30 06:06:43,497 - lightrag - INFO - _check_edge_existence:query:MATCH (a:`BOB CRATCHIT`)-[r]-(b:`THE POULTERER'S`) RETURN COUNT(r) > 0 AS edgeExists:result:True -2024-10-30 06:06:43,629 - lightrag - INFO - get_edge:query: - MATCH (source:`BOB CRATCHIT`)-[r]-(target:`THE POULTERER'S`) - RETURN r - :result:, ) type='DIRECTED' properties={'keywords': '"commerce, generosity"', 'description': '"The Poulterer\'s shop is where Scrooge instructs the boy to buy a turkey for the Cratchit family, linking commerce to kindness."', 'weight': 6.0, 'source_id': 'chunk-90b95db5c53e4364a6bee36b7aa4d70f'}> -2024-10-30 06:06:43,769 - lightrag - INFO - _check_edge_existence:query:MATCH (a:`SCROOGE`)-[r]-(b:`THE GHOST OF CHRISTMAS PRESENT`) RETURN COUNT(r) > 0 AS edgeExists:result:True -2024-10-30 06:06:43,899 - lightrag - INFO - get_edge:query: - MATCH (source:`SCROOGE`)-[r]-(target:`THE GHOST OF CHRISTMAS PRESENT`) - RETURN r - :result:, ) type='DIRECTED' properties={'keywords': '"awareness, joy""supernatural guidance, social impact""transformation, guidance"', 'description': '"The Ghost of Christmas Present exposes Scrooge to the joy and generosity he has been missing.""The Ghost of Christmas Present observes Scrooge\'s transformation and emotional engagement with his memories of Christmas.""The Ghost of Christmas Present shows Scrooge the joy and importance of kindness during Christmas, impacting his perspective on social issues."', 'weight': 26.0, 'source_id': 'chunk-90b95db5c53e4364a6bee36b7aa4d70fchunk-43c9bee23adfa77aa9dedd22401bba7dchunk-b0f459f5af1c3a5e0b92cbe4ee48b77b'}> -2024-10-30 06:06:44,041 - lightrag - INFO - _check_edge_existence:query:MATCH (a:`SCROOGE`)-[r]-(b:`THE BOY`) RETURN COUNT(r) > 0 AS edgeExists:result:True -2024-10-30 06:06:44,172 - lightrag - INFO - get_edge:query: - MATCH (source:`SCROOGE`)-[r]-(target:`THE BOY`) - RETURN r - :result:, ) type='DIRECTED' properties={'keywords': '"generosity, kindness"', 'description': '"Scrooge interacts with The Boy to deliver the turkey, showing a newfound generosity and connection to others."', 'weight': 8.0, 'source_id': 'chunk-8f738cb25d60a7dab782162d9d0a25ed'}> -2024-10-30 06:06:44,309 - lightrag - INFO - _check_edge_existence:query:MATCH (a:`BOB CRATCHIT`)-[r]-(b:`THE CHRISTMAS DINNER`) RETURN COUNT(r) > 0 AS edgeExists:result:True -2024-10-30 06:06:44,440 - lightrag - INFO - get_edge:query: - MATCH (source:`BOB CRATCHIT`)-[r]-(target:`THE CHRISTMAS DINNER`) - RETURN r - :result:, ) type='DIRECTED' properties={'keywords': '"family, celebration"', 'description': '"The Christmas Dinner represents the Cratchit family\'s celebration, with Bob Cratchit at the center of this warm gathering."', 'weight': 8.0, 'source_id': 'chunk-90b95db5c53e4364a6bee36b7aa4d70f'}> -2024-10-30 06:06:44,584 - lightrag - INFO - _check_edge_existence:query:MATCH (a:`SCROOGE`)-[r]-(b:`THE OLD GENTLEMAN`) RETURN COUNT(r) > 0 AS edgeExists:result:True -2024-10-30 06:06:44,717 - lightrag - INFO - get_edge:query: - MATCH (source:`SCROOGE`)-[r]-(target:`THE OLD GENTLEMAN`) - RETURN r - :result:, ) type='DIRECTED' properties={'keywords': '"kindness, transformation"', 'description': '"Scrooge shows kindness and generosity to The Old Gentleman, marking a significant change in his character and relationships."', 'weight': 9.0, 'source_id': 'chunk-8f738cb25d60a7dab782162d9d0a25ed'}> -2024-10-30 06:06:44,873 - lightrag - INFO - _check_edge_existence:query:MATCH (a:`BOB CRATCHIT`)-[r]-(b:`THE FAMILY`) RETURN COUNT(r) > 0 AS edgeExists:result:True -2024-10-30 06:06:45,047 - lightrag - INFO - get_edge:query: - MATCH (source:`BOB CRATCHIT`)-[r]-(target:`THE FAMILY`) - RETURN r - :result:, ) type='DIRECTED' properties={'keywords': '"family, responsibility"', 'description': '"Bob Cratchit is a central figure in The Family, demonstrating love and responsibility towards his children during Christmas."', 'weight': 8.0, 'source_id': 'chunk-94bea83e7153fc2064aa382b494936a1'}> -2024-10-30 06:06:45,192 - lightrag - INFO - _check_edge_existence:query:MATCH (a:`BOB CRATCHIT`)-[r]-(b:`THE TANK`) RETURN COUNT(r) > 0 AS edgeExists:result:True -2024-10-30 06:06:45,327 - lightrag - INFO - get_edge:query: - MATCH (source:`BOB CRATCHIT`)-[r]-(target:`THE TANK`) - RETURN r - :result:, ) type='DIRECTED' properties={'keywords': '"workplace, struggle"', 'description': '"Bob\'s working conditions in The Tank under Scrooge reflect the challenges he faces as a struggling employee supporting his family."', 'weight': 7.0, 'source_id': 'chunk-94bea83e7153fc2064aa382b494936a1'}> -2024-10-30 06:06:45,469 - lightrag - INFO - _check_edge_existence:query:MATCH (a:`SCROOGE`)-[r]-(b:`SMOKING BISHOP`) RETURN COUNT(r) > 0 AS edgeExists:result:True -2024-10-30 06:06:45,598 - lightrag - INFO - get_edge:query: - MATCH (source:`SCROOGE`)-[r]-(target:`SMOKING BISHOP`) - RETURN r - :result:, ) type='DIRECTED' properties={'keywords': '"celebration, warmth"', 'description': '"Scrooge and Bob\'s plans to enjoy Smoking Bishop together symbolize the welcoming of joy and warmth during the Christmas season."', 'weight': 9.0, 'source_id': 'chunk-94bea83e7153fc2064aa382b494936a1'}> -2024-10-30 06:06:45,733 - lightrag - INFO - _check_edge_existence:query:MATCH (a:`PROJECT GUTENBERG`)-[r]-(b:`THE FOUNDATION`) RETURN COUNT(r) > 0 AS edgeExists:result:True -2024-10-30 06:06:45,867 - lightrag - INFO - get_edge:query: - MATCH (source:`PROJECT GUTENBERG`)-[r]-(target:`THE FOUNDATION`) - RETURN r - :result:, ) type='DIRECTED' properties={'keywords': '"organizational governance, copyright management"', 'description': '"Project Gutenberg is operated and managed by The Foundation, which governs its copyright and licensing aspects."', 'weight': 9.0, 'source_id': 'chunk-194cd9680f4967f48bea89678f7ece21'}> -2024-10-30 06:06:46,005 - lightrag - INFO - _check_edge_existence:query:MATCH (a:`GENERAL TERMS OF USE`)-[r]-(b:`PROJECT GUTENBERG`) RETURN COUNT(r) > 0 AS edgeExists:result:True -2024-10-30 06:06:46,140 - lightrag - INFO - get_edge:query: - MATCH (source:`GENERAL TERMS OF USE`)-[r]-(target:`PROJECT GUTENBERG`) - RETURN r - :result:, ) type='DIRECTED' properties={'keywords': '"regulatory framework, operational guidelines"', 'description': '"Project Gutenberg operates under specific General Terms of Use that govern the distribution and utilization of its electronic works."', 'weight': 7.0, 'source_id': 'chunk-194cd9680f4967f48bea89678f7ece21'}> -2024-10-30 06:06:46,280 - lightrag - INFO - _check_edge_existence:query:MATCH (a:`PROJECT GUTENBERG`)-[r]-(b:`TRANSCRIBER'S NOTE`) RETURN COUNT(r) > 0 AS edgeExists:result:True -2024-10-30 06:06:46,421 - lightrag - INFO - get_edge:query: - MATCH (source:`PROJECT GUTENBERG`)-[r]-(target:`TRANSCRIBER'S NOTE`) - RETURN r - :result:, ) type='DIRECTED' properties={'keywords': '"contextual enhancement, editorial contribution"', 'description': '"The transcriber\'s note provides additional context about the eBook created and distributed by Project Gutenberg."', 'weight': 6.0, 'source_id': 'chunk-194cd9680f4967f48bea89678f7ece21'}> -2024-10-30 06:06:46,559 - lightrag - INFO - _check_edge_existence:query:MATCH (a:`THE FOUNDATION`)-[r]-(b:`UNITED STATES COPYRIGHT`) RETURN COUNT(r) > 0 AS edgeExists:result:True -2024-10-30 06:06:46,695 - lightrag - INFO - get_edge:query: - MATCH (source:`THE FOUNDATION`)-[r]-(target:`UNITED STATES COPYRIGHT`) - RETURN r - :result:, ) type='DIRECTED' properties={'keywords': '"legal compliance, governance"', 'description': '"The Foundation operates within the framework of United States copyright laws, which govern its activities and permissions."', 'weight': 8.0, 'source_id': 'chunk-194cd9680f4967f48bea89678f7ece21'}> -2024-10-30 06:06:46,831 - lightrag - INFO - _check_edge_existence:query:MATCH (a:`ELECTRONIC WORKS`)-[r]-(b:`PROJECT GUTENBERG`) RETURN COUNT(r) > 0 AS edgeExists:result:True -2024-10-30 06:06:46,964 - lightrag - INFO - get_edge:query: - MATCH (source:`ELECTRONIC WORKS`)-[r]-(target:`PROJECT GUTENBERG`) - RETURN r - :result:, ) type='DIRECTED' properties={'keywords': '"digital access, literary promotion"', 'description': '"Project Gutenberg is dedicated to the distribution of electronic works, which are core to its mission."', 'weight': 10.0, 'source_id': 'chunk-194cd9680f4967f48bea89678f7ece21'}> -2024-10-30 06:06:47,103 - lightrag - INFO - _check_edge_existence:query:MATCH (a:`COPYRIGHT ROYALTIES`)-[r]-(b:`PROJECT GUTENBERG`) RETURN COUNT(r) > 0 AS edgeExists:result:True -2024-10-30 06:06:47,235 - lightrag - INFO - get_edge:query: - MATCH (source:`COPYRIGHT ROYALTIES`)-[r]-(target:`PROJECT GUTENBERG`) - RETURN r - :result:, ) type='DIRECTED' properties={'keywords': '"copyright policy, free access"', 'description': '"Project Gutenberg states that works not protected by U.S. copyright can be distributed without paying copyright royalties."', 'weight': 9.0, 'source_id': 'chunk-194cd9680f4967f48bea89678f7ece21'}> -2024-10-30 06:06:47,377 - lightrag - INFO - _check_edge_existence:query:MATCH (a:`GENERAL TERMS OF USE`)-[r]-(b:`TRADEMARK LICENSE`) RETURN COUNT(r) > 0 AS edgeExists:result:True -2024-10-30 06:06:47,515 - lightrag - INFO - get_edge:query: - MATCH (source:`GENERAL TERMS OF USE`)-[r]-(target:`TRADEMARK LICENSE`) - RETURN r - :result:, ) type='DIRECTED' properties={'keywords': '"operational policy, trademark protection"', 'description': '"The General Terms of Use outlines the conditions that must be adhered to regarding the use of the Project Gutenberg trademark."', 'weight': 7.0, 'source_id': 'chunk-194cd9680f4967f48bea89678f7ece21'}> -2024-10-30 06:06:47,649 - lightrag - INFO - _check_edge_existence:query:MATCH (a:`PROJECT GUTENBERG LITERARY ARCHIVE FOUNDATION`)-[r]-(b:`PROJECT GUTENBERG`) RETURN COUNT(r) > 0 AS edgeExists:result:True -2024-10-30 06:06:47,787 - lightrag - INFO - get_edge:query: - MATCH (source:`PROJECT GUTENBERG LITERARY ARCHIVE FOUNDATION`)-[r]-(target:`PROJECT GUTENBERG`) - RETURN r - :result:, ) type='DIRECTED' properties={'keywords': '"management, oversight"', 'description': '"The Project Gutenberg Literary Archive Foundation is responsible for managing the trademark of Project Gutenberg and ensuring compliance with its licensing terms."', 'weight': 8.0, 'source_id': 'chunk-af4ae173c561e4594c5aea96198cce9d'}> -2024-10-30 06:06:47,922 - lightrag - INFO - _check_edge_existence:query:MATCH (a:`PROJECT GUTENBERG`)-[r]-(b:`U.S. COPYRIGHT LAW`) RETURN COUNT(r) > 0 AS edgeExists:result:True -2024-10-30 06:06:48,062 - lightrag - INFO - get_edge:query: - MATCH (source:`PROJECT GUTENBERG`)-[r]-(target:`U.S. COPYRIGHT LAW`) - RETURN r - :result:, ) type='DIRECTED' properties={'keywords': '"legal compliance, copyright influence""legal compliance, operational limitations"', 'description': '"Project Gutenberg operates within the parameters of U.S. Copyright Law to ensure that its activities align with legal standards.""Project Gutenberg\'s operations are significantly influenced by U.S. Copyright Law, which dictates how works can be shared and accessed."', 'weight': 16.0, 'source_id': 'chunk-af4ae173c561e4594c5aea96198cce9dchunk-c51b3dc560b408cce12cdfe5c9c94f57'}> -2024-10-30 06:06:48,203 - lightrag - INFO - _check_edge_existence:query:MATCH (a:`EBOOK`)-[r]-(b:`PROJECT GUTENBERG`) RETURN COUNT(r) > 0 AS edgeExists:result:True -2024-10-30 06:06:48,337 - lightrag - INFO - get_edge:query: - MATCH (source:`EBOOK`)-[r]-(target:`PROJECT GUTENBERG`) - RETURN r - :result:, ) type='DIRECTED' properties={'keywords': '"digital library, access"', 'description': '"Project Gutenberg provides access to eBooks that follow specific terms of distribution as established in its license."', 'weight': 9.0, 'source_id': 'chunk-af4ae173c561e4594c5aea96198cce9d'}> -2024-10-30 06:06:48,479 - lightrag - INFO - _check_edge_existence:query:MATCH (a:`PROJECT GUTENBERG`)-[r]-(b:`UNITED STATES`) RETURN COUNT(r) > 0 AS edgeExists:result:True -2024-10-30 06:06:48,611 - lightrag - INFO - get_edge:query: - MATCH (source:`PROJECT GUTENBERG`)-[r]-(target:`UNITED STATES`) - RETURN r - :result:, ) type='DIRECTED' properties={'keywords': '"legal framework, copyright law"', 'description': '"Project Gutenberg operates within the legal framework of the United States, influencing its copyright policies and user access."', 'weight': 8.0, 'source_id': 'chunk-194cd9680f4967f48bea89678f7ece21'}> -2024-10-30 06:06:48,756 - lightrag - INFO - _check_edge_existence:query:MATCH (a:`PROJECT GUTENBERG LITERARY ARCHIVE FOUNDATION`)-[r]-(b:`ROYALTY PAYMENTS`) RETURN COUNT(r) > 0 AS edgeExists:result:True -2024-10-30 06:06:48,890 - lightrag - INFO - get_edge:query: - MATCH (source:`PROJECT GUTENBERG LITERARY ARCHIVE FOUNDATION`)-[r]-(target:`ROYALTY PAYMENTS`) - RETURN r - :result:, ) type='DIRECTED' properties={'keywords': '"financial management, trademark"', 'description': '"The Project Gutenberg Literary Archive Foundation oversees the management and collection of Royalty Payments for the use of their trademark."', 'weight': 7.0, 'source_id': 'chunk-af4ae173c561e4594c5aea96198cce9d'}> -2024-10-30 06:06:49,027 - lightrag - INFO - _check_edge_existence:query:MATCH (a:`COPYRIGHT HOLDER`)-[r]-(b:`PROJECT GUTENBERG`) RETURN COUNT(r) > 0 AS edgeExists:result:True -2024-10-30 06:06:49,164 - lightrag - INFO - get_edge:query: - MATCH (source:`COPYRIGHT HOLDER`)-[r]-(target:`PROJECT GUTENBERG`) - RETURN r - :result:, ) type='DIRECTED' properties={'keywords': '"permission, rights management"', 'description': '"Copyright Holders have the authority to grant permission for works posted on Project Gutenberg, influencing availability and distribution."', 'weight': 8.0, 'source_id': 'chunk-af4ae173c561e4594c5aea96198cce9d'}> -2024-10-30 06:06:49,303 - lightrag - INFO - _check_edge_existence:query:MATCH (a:`DISTRIBUTION TERMS`)-[r]-(b:`PARAGRAPHS 1.E.1 THROUGH 1.E.9`) RETURN COUNT(r) > 0 AS edgeExists:result:True -2024-10-30 06:06:49,438 - lightrag - INFO - get_edge:query: - MATCH (source:`DISTRIBUTION TERMS`)-[r]-(target:`PARAGRAPHS 1.E.1 THROUGH 1.E.9`) - RETURN r - :result:, ) type='DIRECTED' properties={'keywords': '"guidelines, usage conditions"', 'description': '"Paragraphs 1.E.1 through 1.E.9 specify the Distribution Terms that govern how Project Gutenberg\'s works can be used and shared."', 'weight': 9.0, 'source_id': 'chunk-af4ae173c561e4594c5aea96198cce9d'}> -2024-10-30 06:06:49,577 - lightrag - INFO - _check_edge_existence:query:MATCH (a:`PROJECT GUTENBERG`)-[r]-(b:`VOLUNTEERS`) RETURN COUNT(r) > 0 AS edgeExists:result:True -2024-10-30 06:06:49,707 - lightrag - INFO - get_edge:query: - MATCH (source:`PROJECT GUTENBERG`)-[r]-(target:`VOLUNTEERS`) - RETURN r - :result:, ) type='DIRECTED' properties={'keywords': '"volunteer contributions, organizational structure"', 'description': '"Volunteers are essential to the mission of Project Gutenberg, contributing significantly to the maintenance and distribution of the collection."', 'weight': 9.0, 'source_id': 'chunk-c51b3dc560b408cce12cdfe5c9c94f57'}> -2024-10-30 06:06:49,843 - lightrag - INFO - _check_edge_existence:query:MATCH (a:`MISSISSIPPI`)-[r]-(b:`PROJECT GUTENBERG LITERARY ARCHIVE FOUNDATION`) RETURN COUNT(r) > 0 AS edgeExists:result:True -2024-10-30 06:06:49,974 - lightrag - INFO - get_edge:query: - MATCH (source:`MISSISSIPPI`)-[r]-(target:`PROJECT GUTENBERG LITERARY ARCHIVE FOUNDATION`) - RETURN r - :result:, ) type='DIRECTED' properties={'keywords': '"legal framework, organizational base""legal identity, location"', 'description': '"The Foundation is organized under the laws of Mississippi, establishing its legal framework.""The Project Gutenberg Literary Archive Foundation is organized under the laws of Mississippi, linking its operations to the state."', 'weight': 13.0, 'source_id': 'chunk-c51b3dc560b408cce12cdfe5c9c94f57chunk-85f77f5e3a9aba01133555a2d20e2fd8'}> -2024-10-30 06:06:50,109 - lightrag - INFO - _check_edge_existence:query:MATCH (a:`PROJECT GUTENBERG LITERARY ARCHIVE FOUNDATION`)-[r]-(b:`SALT LAKE CITY`) RETURN COUNT(r) > 0 AS edgeExists:result:True -2024-10-30 06:06:50,245 - lightrag - INFO - get_edge:query: - MATCH (source:`PROJECT GUTENBERG LITERARY ARCHIVE FOUNDATION`)-[r]-(target:`SALT LAKE CITY`) - RETURN r - :result:, ) type='DIRECTED' properties={'keywords': '"operational base, location""organizational presence, location"', 'description': '"The Foundation has its business office in Salt Lake City, establishing a geographic link to its operations.""The Project Gutenberg Literary Archive Foundation has its business office located in Salt Lake City, establishing a physical presence there."', 'weight': 15.0, 'source_id': 'chunk-c51b3dc560b408cce12cdfe5c9c94f57chunk-85f77f5e3a9aba01133555a2d20e2fd8'}> -2024-10-30 06:06:50,387 - lightrag - INFO - _check_edge_existence:query:MATCH (a:`DEFECTS`)-[r]-(b:`PROJECT GUTENBERG`) RETURN COUNT(r) > 0 AS edgeExists:result:True -2024-10-30 06:06:50,524 - lightrag - INFO - get_edge:query: - MATCH (source:`DEFECTS`)-[r]-(target:`PROJECT GUTENBERG`) - RETURN r - :result:, ) type='DIRECTED' properties={'keywords': '"quality assurance, operational challenges"', 'description': '"The existence of Defects poses challenges to Project Gutenberg\'s integrity and reliability as it seeks to provide quality electronic works."', 'weight': 6.0, 'source_id': 'chunk-c51b3dc560b408cce12cdfe5c9c94f57'}> -2024-10-30 06:06:50,660 - lightrag - INFO - _check_edge_existence:query:MATCH (a:`LEGAL FEES`)-[r]-(b:`VOLUNTEERS`) RETURN COUNT(r) > 0 AS edgeExists:result:True -2024-10-30 06:06:50,793 - lightrag - INFO - get_edge:query: - MATCH (source:`LEGAL FEES`)-[r]-(target:`VOLUNTEERS`) - RETURN r - :result:, ) type='DIRECTED' properties={'keywords': '"legal implications, volunteer risks"', 'description': '"Volunteers may incur Legal Fees if involved in litigation regarding the distribution of Project Gutenberg works or related matters."', 'weight': 5.0, 'source_id': 'chunk-c51b3dc560b408cce12cdfe5c9c94f57'}> -2024-10-30 06:06:50,929 - lightrag - INFO - _check_edge_existence:query:MATCH (a:`CONTRIBUTIONS`)-[r]-(b:`PROJECT GUTENBERG LITERARY ARCHIVE FOUNDATION`) RETURN COUNT(r) > 0 AS edgeExists:result:True -2024-10-30 06:06:51,067 - lightrag - INFO - get_edge:query: - MATCH (source:`CONTRIBUTIONS`)-[r]-(target:`PROJECT GUTENBERG LITERARY ARCHIVE FOUNDATION`) - RETURN r - :result:, ) type='DIRECTED' properties={'keywords': '"funding, operational sustainability"', 'description': '"Contributions are essential for the operational viability of the Foundation, directly supporting its mission."', 'weight': 9.0, 'source_id': 'chunk-85f77f5e3a9aba01133555a2d20e2fd8'}> -2024-10-30 06:06:51,205 - lightrag - INFO - _check_edge_existence:query:MATCH (a:`PROJECT GUTENBERG LITERARY ARCHIVE FOUNDATION`)-[r]-(b:`U.S. INTERNAL REVENUE SERVICE`) RETURN COUNT(r) > 0 AS edgeExists:result:True -2024-10-30 06:06:51,338 - lightrag - INFO - get_edge:query: - MATCH (source:`PROJECT GUTENBERG LITERARY ARCHIVE FOUNDATION`)-[r]-(target:`U.S. INTERNAL REVENUE SERVICE`) - RETURN r - :result:, ) type='DIRECTED' properties={'keywords': '"financial oversight, tax compliance"', 'description': '"The Foundation\'s tax-exempt status is granted by the U.S. Internal Revenue Service, which oversees its financial compliance."', 'weight': 10.0, 'source_id': 'chunk-85f77f5e3a9aba01133555a2d20e2fd8'}> -2024-10-30 06:06:51,485 - lightrag - INFO - _check_edge_existence:query:MATCH (a:`MICHAEL S. HART`)-[r]-(b:`PROJECT GUTENBERG LITERARY ARCHIVE FOUNDATION`) RETURN COUNT(r) > 0 AS edgeExists:result:True -2024-10-30 06:06:51,624 - lightrag - INFO - get_edge:query: - MATCH (source:`MICHAEL S. HART`)-[r]-(target:`PROJECT GUTENBERG LITERARY ARCHIVE FOUNDATION`) - RETURN r - :result:, ) type='DIRECTED' properties={'keywords': '"founder, mission creation"', 'description': '"Michael S. Hart is the originator of the Project Gutenberg concept, instrumental in establishing its mission and operations."', 'weight': 9.0, 'source_id': 'chunk-85f77f5e3a9aba01133555a2d20e2fd8'}> -2024-10-30 06:06:51,765 - lightrag - INFO - _check_edge_existence:query:MATCH (a:`DONATIONS`)-[r]-(b:`PROJECT GUTENBERG LITERARY ARCHIVE FOUNDATION`) RETURN COUNT(r) > 0 AS edgeExists:result:True -2024-10-30 06:06:51,902 - lightrag - INFO - get_edge:query: - MATCH (source:`DONATIONS`)-[r]-(target:`PROJECT GUTENBERG LITERARY ARCHIVE FOUNDATION`) - RETURN r - :result:, ) type='DIRECTED' properties={'keywords': '"financial support, project funding"', 'description': '"Donations are critical financial support for the Foundation, enabling its initiatives and projects."', 'weight': 9.0, 'source_id': 'chunk-85f77f5e3a9aba01133555a2d20e2fd8'}> -2024-10-30 06:06:52,044 - lightrag - INFO - _check_edge_existence:query:MATCH (a:`MICHAEL S. HART`)-[r]-(b:`PROJECT GUTENBERG EBOOKS`) RETURN COUNT(r) > 0 AS edgeExists:result:True -2024-10-30 06:06:52,178 - lightrag - INFO - get_edge:query: - MATCH (source:`MICHAEL S. HART`)-[r]-(target:`PROJECT GUTENBERG EBOOKS`) - RETURN r - :result:, ) type='DIRECTED' properties={'keywords': '"content creation, legacy"', 'description': '"Michael S. Hart has been instrumental in the production and distribution of Project Gutenberg eBooks over forty years."', 'weight': 8.0, 'source_id': 'chunk-85f77f5e3a9aba01133555a2d20e2fd8'}> -2024-10-30 06:06:52,317 - lightrag - INFO - _check_edge_existence:query:MATCH (a:`501(C)(3)`)-[r]-(b:`PROJECT GUTENBERG LITERARY ARCHIVE FOUNDATION`) RETURN COUNT(r) > 0 AS edgeExists:result:True -2024-10-30 06:06:52,454 - lightrag - INFO - get_edge:query: - MATCH (source:`501(C)(3)`)-[r]-(target:`PROJECT GUTENBERG LITERARY ARCHIVE FOUNDATION`) - RETURN r - :result:, ) type='DIRECTED' properties={'keywords': '"tax status, charitable organization"', 'description': '"The Project Gutenberg Literary Archive Foundation operates under the 501(c)(3) tax-exempt status, allowing it to receive tax-deductible donations."', 'weight': 9.0, 'source_id': 'chunk-85f77f5e3a9aba01133555a2d20e2fd8'}> -2024-10-30 06:06:52,595 - lightrag - INFO - _check_edge_existence:query:MATCH (a:`EIN 64-6221541`)-[r]-(b:`PROJECT GUTENBERG LITERARY ARCHIVE FOUNDATION`) RETURN COUNT(r) > 0 AS edgeExists:result:True -2024-10-30 06:06:52,729 - lightrag - INFO - get_edge:query: - MATCH (source:`EIN 64-6221541`)-[r]-(target:`PROJECT GUTENBERG LITERARY ARCHIVE FOUNDATION`) - RETURN r - :result:, ) type='DIRECTED' properties={'keywords': '"tax identification, compliance"', 'description': '"The EIN serves as the foundation\'s identification for tax purposes, linking it to federal tax compliance."', 'weight': 8.0, 'source_id': 'chunk-85f77f5e3a9aba01133555a2d20e2fd8'}> -2024-10-30 06:06:52,869 - lightrag - INFO - _check_edge_existence:query:MATCH (a:`PROJECT GUTENBERG LITERARY ARCHIVE FOUNDATION`)-[r]-(b:`U.S. FEDERAL LAWS`) RETURN COUNT(r) > 0 AS edgeExists:result:True -2024-10-30 06:06:53,007 - lightrag - INFO - get_edge:query: - MATCH (source:`PROJECT GUTENBERG LITERARY ARCHIVE FOUNDATION`)-[r]-(target:`U.S. FEDERAL LAWS`) - RETURN r - :result:, ) type='DIRECTED' properties={'keywords': '"legal compliance, federal regulations"', 'description': '"The Foundation must comply with U.S. federal laws regarding charitable donations and tax-exempt status."', 'weight': 9.0, 'source_id': 'chunk-85f77f5e3a9aba01133555a2d20e2fd8'}> -2024-10-30 06:06:53,149 - lightrag - INFO - _check_edge_existence:query:MATCH (a:`PROJECT GUTENBERG LITERARY ARCHIVE FOUNDATION`)-[r]-(b:`WEBSITE`) RETURN COUNT(r) > 0 AS edgeExists:result:True -2024-10-30 06:06:53,288 - lightrag - INFO - get_edge:query: - MATCH (source:`PROJECT GUTENBERG LITERARY ARCHIVE FOUNDATION`)-[r]-(target:`WEBSITE`) - RETURN r - :result:, ) type='DIRECTED' properties={'keywords': '"information dissemination, online presence"', 'description': '"The Foundation uses its website to facilitate donations and disseminate information about its services and eBooks."', 'weight': 8.0, 'source_id': 'chunk-85f77f5e3a9aba01133555a2d20e2fd8'}> -2024-10-30 06:06:53,429 - lightrag - INFO - _check_edge_existence:query:MATCH (a:`PROJECT GUTENBERG LITERARY ARCHIVE FOUNDATION`)-[r]-(b:`PUBLIC DOMAIN`) RETURN COUNT(r) > 0 AS edgeExists:result:True -2024-10-30 06:06:53,563 - lightrag - INFO - get_edge:query: - MATCH (source:`PROJECT GUTENBERG LITERARY ARCHIVE FOUNDATION`)-[r]-(target:`PUBLIC DOMAIN`) - RETURN r - :result:, ) type='DIRECTED' properties={'keywords': '"accessibility, distribution"', 'description': '"The Foundation\'s mission is focused on distributing works that are in the Public Domain, enhancing accessibility for the public."', 'weight': 9.0, 'source_id': 'chunk-85f77f5e3a9aba01133555a2d20e2fd8'}> -2024-10-30 06:44:06,799 - lightrag - INFO - Logger initialized for working directory: ./neo4jWorkDir -2024-10-30 06:44:06,799 - lightrag - DEBUG - LightRAG init with param: - working_dir = ./neo4jWorkDir, - chunk_token_size = 1200, - chunk_overlap_token_size = 100, - tiktoken_model_name = gpt-4o-mini, - entity_extract_max_gleaning = 1, - entity_summary_to_max_tokens = 500, - node_embedding_algorithm = node2vec, - node2vec_params = {'dimensions': 1536, 'num_walks': 10, 'walk_length': 40, 'window_size': 2, 'iterations': 3, 'random_seed': 3}, - embedding_func = {'embedding_dim': 1536, 'max_token_size': 8192, 'func': }, - embedding_batch_num = 32, - embedding_func_max_async = 16, - llm_model_func = , - llm_model_name = meta-llama/Llama-3.2-1B-Instruct, - llm_model_max_token_size = 32768, - llm_model_max_async = 16, - key_string_value_json_storage_cls = , - vector_db_storage_cls = , - vector_db_storage_cls_kwargs = {}, - graph_storage_cls = , - enable_llm_cache = True, - addon_params = {}, - convert_response_to_json_func = - -2024-10-30 06:44:06,800 - lightrag - INFO - Load KV full_docs with 0 data -2024-10-30 06:44:06,800 - lightrag - INFO - Load KV text_chunks with 0 data -2024-10-30 06:44:06,801 - lightrag - INFO - Load KV llm_response_cache with 117 data -2024-10-30 06:44:06,803 - lightrag - INFO - Creating a new event loop in a sub-thread. -2024-10-30 06:44:06,804 - lightrag - INFO - [New Docs] inserting 1 docs -2024-10-30 06:44:06,985 - lightrag - INFO - [New Chunks] inserting 42 chunks -2024-10-30 06:44:06,985 - lightrag - INFO - Inserting 42 vectors to chunks -2024-10-30 06:44:08,532 - lightrag - INFO - [Entity Extraction]... -2024-10-30 06:44:09,310 - lightrag - INFO - get_node:query:MATCH (n:`PROJECT GUTENBERG`) RETURN n:result:chunk-c51b3dc560b408cce12cdfe5c9c94f57chunk-9e3921da66da5d761ab73cd849af6c43chunk-af4ae173c561e4594c5aea96198cce9d'}> -2024-10-30 06:44:09,444 - lightrag - INFO - _do_upsert:query: - MERGE (n:`PROJECT GUTENBERG`) - SET n += $properties - RETURN n - :result:{'entity_type': '"ORGANIZATION"', 'description': '"Project Gutenberg is a digital library offering free access to a vast array of eBooks, particularly those not protected by U.S. copyright law, allowing for worldwide distribution under specific conditions.""Project Gutenberg is an organization dedicated to the free distribution of electronic works, relying on volunteers and donations to maintain its collection.""Project Gutenberg is an organization that promotes the free distribution of electronic works and holds a compilation copyright for its collection.""Project Gutenberg is an organization that provides free eBooks, promoting accessibility to literature without restrictions."Project Gutenberg is a digital library and organization dedicated to the free distribution of electronic works, particularly eBooks that are not protected by U.S. copyright law. It offers access to a vast array of literature, allowing for worldwide distribution under specific conditions. The organization aims to promote accessibility to literature without restrictions, providing eBooks in various formats to users globally.\n\nProject Gutenberg relies on the support of volunteers and donations to maintain its extensive collection, which serves the purpose of preserving cultural heritage through public domain literature. Additionally, the organization holds a compilation copyright for its collection, ensuring that its offerings are both legally sound and accessible to the public.\n\nIn essence, Project Gutenberg is committed to making literature freely available to everyone, championing the cause of open access to knowledge and cultural works.', 'source_id': 'chunk-af4ae173c561e4594c5aea96198cce9dchunk-194cd9680f4967f48bea89678f7ece21chunk-9e3921da66da5d761ab73cd849af6c43chunk-c51b3dc560b408cce12cdfe5c9c94f57'} -2024-10-30 06:44:09,587 - lightrag - INFO - get_node:query:MATCH (n:`A CHRISTMAS CAROL`) RETURN n:result:"A Christmas Carol is a famous novella by Charles Dickens that tells the story of Ebenezer Scrooge\'s transformation and redemption, particularly around the Christmas season.""A Christmas Carol is a famous novella by Charles Dickens that tells the story of Ebenezer Scrooge\'s transformation and redemption, particularly around the Christmas season.""A Christmas Carol is a famous novella by Charles Dickens that tells the story of Ebenezer Scrooge\'s transformation and redemption, particularly around the Christmas season.""A Christmas Carol is a literary work available through Project Gutenberg, indicating its role in literature and public access.""A Christmas Carol is a novella by Charles Dickens that explores themes of redemption, compassion, and the spirit of Christmas, first published in 1843.""A Christmas Carol is a literary work available through Project Gutenberg, indicating its role in literature and public access.""A Christmas Carol is a literary work available through Project Gutenberg, indicating its role in literature and public access.""A Christmas Carol is a literary work available through Project Gutenberg, indicating its role in literature and public access."', 'source_id': 'chunk-194cd9680f4967f48bea89678f7ece21chunk-9e3921da66da5d761ab73cd849af6c43'}> -2024-10-30 06:44:09,722 - lightrag - INFO - _do_upsert:query: - MERGE (n:`A CHRISTMAS CAROL`) - SET n += $properties - RETURN n - :result:{'entity_type': '"EVENT"', 'description': '"A Christmas Carol is a famous novella by Charles Dickens that tells the story of Ebenezer Scrooge\'s transformation and redemption, particularly around the Christmas season.""A Christmas Carol is a famous novella by Charles Dickens that tells the story of Ebenezer Scrooge\'s transformation and redemption, particularly around the Christmas season.""A Christmas Carol is a famous novella by Charles Dickens that tells the story of Ebenezer Scrooge\'s transformation and redemption, particularly around the Christmas season.""A Christmas Carol is a famous novella by Charles Dickens that tells the story of Ebenezer Scrooge\'s transformation and redemption, particularly around the Christmas season.""A Christmas Carol is a famous novella by Charles Dickens that tells the story of Ebenezer Scrooge\'s transformation and redemption, particularly around the Christmas season.""A Christmas Carol is a literary work available through Project Gutenberg, indicating its role in literature and public access.""A Christmas Carol is a novella by Charles Dickens that explores themes of redemption, compassion, and the spirit of Christmas, first published in 1843.""A Christmas Carol is a literary work available through Project Gutenberg, indicating its role in literature and public access.""A Christmas Carol is a literary work available through Project Gutenberg, indicating its role in literature and public access.""A Christmas Carol is a literary work available through Project Gutenberg, indicating its role in literature and public access.""A Christmas Carol is a literary work available through Project Gutenberg, indicating its role in literature and public access."', 'source_id': 'chunk-194cd9680f4967f48bea89678f7ece21chunk-9e3921da66da5d761ab73cd849af6c43'} -2024-10-30 06:44:09,851 - lightrag - INFO - get_node:query:MATCH (n:`CHARLES DICKENS`) RETURN n:result:"Charles Dickens is the author of A Christmas Carol, a prominent English writer known for his literary contributions in the 19th century.""Charles Dickens is the author of A Christmas Carol, a prominent English writer known for his literary contributions in the 19th century.""Charles Dickens is the author of A Christmas Carol, a prominent English writer known for his literary contributions in the 19th century.""Charles Dickens is the author of A Christmas Carol, a prominent English writer known for his literary contributions in the 19th century."', 'source_id': 'chunk-9e3921da66da5d761ab73cd849af6c43'}> -2024-10-30 06:44:09,986 - lightrag - INFO - _do_upsert:query: - MERGE (n:`CHARLES DICKENS`) - SET n += $properties - RETURN n - :result:{'entity_type': '"PERSON"', 'description': '"Charles Dickens is a renowned English writer and social critic, best known for his novels depicting Victorian society, including A Christmas Carol.""Charles Dickens is the author of A Christmas Carol, a prominent English writer known for his literary contributions in the 19th century.""Charles Dickens is the author of A Christmas Carol, a prominent English writer known for his literary contributions in the 19th century.""Charles Dickens is the author of A Christmas Carol, a prominent English writer known for his literary contributions in the 19th century.""Charles Dickens is the author of A Christmas Carol, a prominent English writer known for his literary contributions in the 19th century.""Charles Dickens is the author of A Christmas Carol, a prominent English writer known for his literary contributions in the 19th century."', 'source_id': 'chunk-9e3921da66da5d761ab73cd849af6c43'} -2024-10-30 06:44:10,122 - lightrag - INFO - get_node:query:MATCH (n:`ARTHUR RACKHAM`) RETURN n:result:"Arthur Rackham is the illustrator of A Christmas Carol, renowned for his distinctive style in illustrating classic literature.""Arthur Rackham is the illustrator of A Christmas Carol, renowned for his distinctive style in illustrating classic literature.""Arthur Rackham is the illustrator of A Christmas Carol, renowned for his distinctive style in illustrating classic literature.""Arthur Rackham was an English illustrator known for his imaginative and detailed illustrations for children\'s books, including A Christmas Carol."', 'source_id': 'chunk-9e3921da66da5d761ab73cd849af6c43'}> -2024-10-30 06:44:10,250 - lightrag - INFO - _do_upsert:query: - MERGE (n:`ARTHUR RACKHAM`) - SET n += $properties - RETURN n - :result:{'entity_type': '"PERSON"', 'description': '"Arthur Rackham is the illustrator of A Christmas Carol, renowned for his distinctive style in illustrating classic literature.""Arthur Rackham is the illustrator of A Christmas Carol, renowned for his distinctive style in illustrating classic literature.""Arthur Rackham is the illustrator of A Christmas Carol, renowned for his distinctive style in illustrating classic literature.""Arthur Rackham is the illustrator of A Christmas Carol, renowned for his distinctive style in illustrating classic literature.""Arthur Rackham is the illustrator of A Christmas Carol, renowned for his distinctive style in illustrating classic literature.""Arthur Rackham was an English illustrator known for his imaginative and detailed illustrations for children\'s books, including A Christmas Carol."', 'source_id': 'chunk-9e3921da66da5d761ab73cd849af6c43'} -2024-10-30 06:44:10,381 - lightrag - INFO - get_node:query:MATCH (n:`EBENEZER SCROOGE`) RETURN n:result:"Ebenezer Scrooge is a central character known for his past connections and interactions, especially with Fezziwig and Dick Wilkins.""Ebenezer Scrooge is a central character known for his past connections and interactions, especially with Fezziwig and Dick Wilkins.""Ebenezer Scrooge is a central character known for his past connections and interactions, especially with Fezziwig and Dick Wilkins.""Ebenezer Scrooge is a protagonist who experiences confusion and fear regarding the passage of time and supernatural events, especially concerned about a ghostly visitation.""Ebenezer Scrooge is the main character of A Christmas Carol, portrayed as a miserly and greedy old man who experiences a transformation through the visitation of spirits.""Ebenezer Scrooge is the main character of A Christmas Carol, depicted as a miserly and cold-hearted man who undergoes a significant transformation.""Ebenezer Scrooge is the main character who experiences a profound transformation through his encounters with supernatural entities.""Ebenezer Scrooge is the main character of A Christmas Carol, depicted as a miserly and cold-hearted man who undergoes a significant transformation.""Ebenezer Scrooge is the main character who experiences a profound transformation through his encounters with supernatural entities.""Ebenezer Scrooge is the main character of A Christmas Carol, depicted as a miserly and cold-hearted man who undergoes a significant transformation.""Ebenezer Scrooge is the main character who experiences a profound transformation through his encounters with supernatural entities.""Ebenezer Scrooge is the main character of A Christmas Carol, depicted as a miserly and cold-hearted man who undergoes a significant transformation.""Ebenezer Scrooge is the main character who experiences a profound transformation through his encounters with supernatural entities."', 'source_id': 'chunk-c7b10789a9cb0af6c553730b29bd9034chunk-9e3921da66da5d761ab73cd849af6c43chunk-8bc1edd983869352d14cf0886a9175a7'}> -2024-10-30 06:44:10,384 - lightrag - DEBUG - Trigger summary: "EBENEZER SCROOGE" -2024-10-30 06:44:10,483 - lightrag - INFO - get_node:query:MATCH (n:`BOB CRATCHIT`) RETURN n:result:chunk-94bea83e7153fc2064aa382b494936a1chunk-90b95db5c53e4364a6bee36b7aa4d70fchunk-83ac129dc9b56f84c46760d153d68e93chunk-7e2e7ebcc19a53b399dc03aded4743e7chunk-503f0bfa5453467c7c61d160a3540ecachunk-19d72c57ae3408758b18d2568e86dc6bchunk-9e3921da66da5d761ab73cd849af6c43chunk-d9aac3484185ac66045df92214d245d5chunk-b0f459f5af1c3a5e0b92cbe4ee48b77bchunk-91572b3cd42786ba4cb2f180ca25cbf4'}> -2024-10-30 06:44:10,486 - lightrag - DEBUG - Trigger summary: "BOB CRATCHIT" -2024-10-30 06:44:10,586 - lightrag - INFO - get_node:query:MATCH (n:`TINY TIM`) RETURN n:result:chunk-90b95db5c53e4364a6bee36b7aa4d70fchunk-83ac129dc9b56f84c46760d153d68e93chunk-7e2e7ebcc19a53b399dc03aded4743e7chunk-19d72c57ae3408758b18d2568e86dc6bchunk-503f0bfa5453467c7c61d160a3540ecachunk-9e3921da66da5d761ab73cd849af6c43chunk-8f738cb25d60a7dab782162d9d0a25edchunk-1d4b58de5429cd1261370c231c8673e8chunk-91572b3cd42786ba4cb2f180ca25cbf4'}> -2024-10-30 06:44:10,589 - lightrag - DEBUG - Trigger summary: "TINY TIM" -2024-10-30 06:44:10,686 - lightrag - INFO - get_node:query:MATCH (n:`MR. FEZZIWIG`) RETURN n:result:"Mr. Fezziwig is a kind-hearted merchant and former employer of Scrooge, representing joy and generosity in contrast to Scrooge\'s character.""Mr. Fezziwig is a kind-hearted merchant and former employer of Scrooge, representing joy and generosity in contrast to Scrooge\'s character.""Mr. Fezziwig is a kind-hearted merchant and former employer of Scrooge, representing joy and generosity in contrast to Scrooge\'s character.""Mr. Fezziwig is a kind-hearted old merchant who served as a mentor to Scrooge, representing generosity and the joy of Christmas through his festive parties."', 'source_id': 'chunk-9e3921da66da5d761ab73cd849af6c43'}> -2024-10-30 06:44:10,820 - lightrag - INFO - _do_upsert:query: - MERGE (n:`MR. FEZZIWIG`) - SET n += $properties - RETURN n - :result:{'entity_type': '"PERSON"', 'description': '"Mr. Fezziwig is a kind-hearted merchant and former employer of Scrooge, representing joy and generosity in contrast to Scrooge\'s character.""Mr. Fezziwig is a kind-hearted merchant and former employer of Scrooge, representing joy and generosity in contrast to Scrooge\'s character.""Mr. Fezziwig is a kind-hearted merchant and former employer of Scrooge, representing joy and generosity in contrast to Scrooge\'s character.""Mr. Fezziwig is a kind-hearted merchant and former employer of Scrooge, representing joy and generosity in contrast to Scrooge\'s character.""Mr. Fezziwig is a kind-hearted merchant and former employer of Scrooge, representing joy and generosity in contrast to Scrooge\'s character.""Mr. Fezziwig is a kind-hearted old merchant who served as a mentor to Scrooge, representing generosity and the joy of Christmas through his festive parties."', 'source_id': 'chunk-9e3921da66da5d761ab73cd849af6c43'} -2024-10-30 06:44:10,951 - lightrag - INFO - get_node:query:MATCH (n:`GHOST OF CHRISTMAS PAST`) RETURN n:result:"The Ghost of Christmas Past is a supernatural entity that aids Scrooge in reflecting on his past experiences and emotions.""The Ghost of Christmas Past is one of the spirits in A Christmas Carol that shows Scrooge his past, prompting reflection and change.""The Ghost of Christmas Past represents a spirit that guides Scrooge to revisit and reflect on his past experiences and memories.""The Ghost of Christmas Past is one of the spirits in A Christmas Carol that shows Scrooge his past, prompting reflection and change.""The Ghost of Christmas Past represents a spirit that guides Scrooge to revisit and reflect on his past experiences and memories.""The Ghost of Christmas Past is one of the spirits in A Christmas Carol that shows Scrooge his past, prompting reflection and change.""The Ghost of Christmas Past represents a spirit that guides Scrooge to revisit and reflect on his past experiences and memories.""The Ghost of Christmas Past is one of the spirits in A Christmas Carol that shows Scrooge his past, prompting reflection and change.""The Ghost of Christmas Past represents a spirit that guides Scrooge to revisit and reflect on his past experiences and memories."', 'source_id': 'chunk-bb21d58d36c6306fd8810ddd51c4a971chunk-9e3921da66da5d761ab73cd849af6c43'}> -2024-10-30 06:44:11,085 - lightrag - INFO - _do_upsert:query: - MERGE (n:`GHOST OF CHRISTMAS PAST`) - SET n += $properties - RETURN n - :result:{'entity_type': '"EVENT"', 'description': '"The Ghost of Christmas Past is a supernatural character that shows Scrooge his past, helping him understand the roots of his current miserliness.""The Ghost of Christmas Past is a supernatural entity that aids Scrooge in reflecting on his past experiences and emotions.""The Ghost of Christmas Past is one of the spirits in A Christmas Carol that shows Scrooge his past, prompting reflection and change.""The Ghost of Christmas Past represents a spirit that guides Scrooge to revisit and reflect on his past experiences and memories.""The Ghost of Christmas Past is one of the spirits in A Christmas Carol that shows Scrooge his past, prompting reflection and change.""The Ghost of Christmas Past represents a spirit that guides Scrooge to revisit and reflect on his past experiences and memories.""The Ghost of Christmas Past is one of the spirits in A Christmas Carol that shows Scrooge his past, prompting reflection and change.""The Ghost of Christmas Past represents a spirit that guides Scrooge to revisit and reflect on his past experiences and memories.""The Ghost of Christmas Past is one of the spirits in A Christmas Carol that shows Scrooge his past, prompting reflection and change.""The Ghost of Christmas Past represents a spirit that guides Scrooge to revisit and reflect on his past experiences and memories.""The Ghost of Christmas Past is one of the spirits in A Christmas Carol that shows Scrooge his past, prompting reflection and change.""The Ghost of Christmas Past represents a spirit that guides Scrooge to revisit and reflect on his past experiences and memories."', 'source_id': 'chunk-9e3921da66da5d761ab73cd849af6c43chunk-bb21d58d36c6306fd8810ddd51c4a971'} -2024-10-30 06:44:11,209 - lightrag - INFO - get_node:query:MATCH (n:`GHOST OF CHRISTMAS PRESENT`) RETURN n:result:"The Ghost of Christmas Present is a spirit that reveals to Scrooge the joys and struggles of the present Christmas season, emphasizing generosity and compassion.""The Ghost of Christmas Present is a spirit that represents generosity and joy, playing a pivotal role in teaching Scrooge valuable lessons about kindness and the Christmas spirit.""The Ghost of Christmas Present is a spirit that reveals the current struggles and joys of others, influencing Scrooge\'s perspective.""The Ghost of Christmas Present is a spirit that represents generosity and joy, playing a pivotal role in teaching Scrooge valuable lessons about kindness and the Christmas spirit.""The Ghost of Christmas Present is a spirit that reveals the current struggles and joys of others, influencing Scrooge\'s perspective.""The Ghost of Christmas Present is a spirit that represents generosity and joy, playing a pivotal role in teaching Scrooge valuable lessons about kindness and the Christmas spirit.""The Ghost of Christmas Present is a spirit that reveals the current struggles and joys of others, influencing Scrooge\'s perspective.""The Ghost of Christmas Present is a spirit that represents generosity and joy, playing a pivotal role in teaching Scrooge valuable lessons about kindness and the Christmas spirit.""The Ghost of Christmas Present is a spirit that reveals the current struggles and joys of others, influencing Scrooge\'s perspective."', 'source_id': 'chunk-843b5b2f944c7413d9ca876e2e2f151fchunk-9e3921da66da5d761ab73cd849af6c43'}> -2024-10-30 06:44:11,342 - lightrag - INFO - _do_upsert:query: - MERGE (n:`GHOST OF CHRISTMAS PRESENT`) - SET n += $properties - RETURN n - :result:{'entity_type': '"EVENT"', 'description': '"The Ghost of Christmas Present is a spirit that embodies generosity and abundance, leading Scrooge to self-reflection and understanding.""The Ghost of Christmas Present is a spirit that reveals to Scrooge the joys and struggles of the present Christmas season, emphasizing generosity and compassion.""The Ghost of Christmas Present is a spirit that represents generosity and joy, playing a pivotal role in teaching Scrooge valuable lessons about kindness and the Christmas spirit.""The Ghost of Christmas Present is a spirit that reveals the current struggles and joys of others, influencing Scrooge\'s perspective.""The Ghost of Christmas Present is a spirit that represents generosity and joy, playing a pivotal role in teaching Scrooge valuable lessons about kindness and the Christmas spirit.""The Ghost of Christmas Present is a spirit that reveals the current struggles and joys of others, influencing Scrooge\'s perspective.""The Ghost of Christmas Present is a spirit that represents generosity and joy, playing a pivotal role in teaching Scrooge valuable lessons about kindness and the Christmas spirit.""The Ghost of Christmas Present is a spirit that reveals the current struggles and joys of others, influencing Scrooge\'s perspective.""The Ghost of Christmas Present is a spirit that represents generosity and joy, playing a pivotal role in teaching Scrooge valuable lessons about kindness and the Christmas spirit.""The Ghost of Christmas Present is a spirit that reveals the current struggles and joys of others, influencing Scrooge\'s perspective.""The Ghost of Christmas Present is a spirit that represents generosity and joy, playing a pivotal role in teaching Scrooge valuable lessons about kindness and the Christmas spirit.""The Ghost of Christmas Present is a spirit that reveals the current struggles and joys of others, influencing Scrooge\'s perspective."', 'source_id': 'chunk-843b5b2f944c7413d9ca876e2e2f151fchunk-9e3921da66da5d761ab73cd849af6c43'} -2024-10-30 06:44:11,474 - lightrag - INFO - get_node:query:MATCH (n:`GHOST OF CHRISTMAS YET TO COME`) RETURN n:result:"The Ghost of Christmas Yet to Come is a foreboding spirit that shows Scrooge the potential consequences of his actions if he does not change.""The Ghost of Christmas Yet to Come is a foreboding spirit that shows Scrooge the potential consequences of his actions if he does not change.""The Ghost of Christmas Yet to Come is a foreboding spirit that shows Scrooge the potential consequences of his actions if he does not change.""The Ghost of Christmas Yet to Come is an apparition that presents Scrooge with a grim vision of his possible future if he doesn\'t change his ways.""The Ghost of Christmas Yet to Come is an event within the story that signifies Scrooge\'s confrontation with the future consequences of his actions.""The Ghost of Christmas Yet to Come signifies a pivotal moment where Scrooge is confronted with the potential futures resulting from his life choices.""The Ghost of Christmas Yet to Come signifies a pivotal moment where Scrooge is confronted with the potential futures resulting from his life choices.""The Ghost of Christmas Yet to Come signifies a pivotal moment where Scrooge is confronted with the potential futures resulting from his life choices.""The Ghost of Christmas Yet to Come signifies a pivotal moment where Scrooge is confronted with the potential futures resulting from his life choices."', 'source_id': 'chunk-9e3921da66da5d761ab73cd849af6c43chunk-02baee20cc9463dbe08170a8e1043e32'}> -2024-10-30 06:44:11,603 - lightrag - INFO - _do_upsert:query: - MERGE (n:`GHOST OF CHRISTMAS YET TO COME`) - SET n += $properties - RETURN n - :result:{'entity_type': '"EVENT"', 'description': '"The Ghost of Christmas Yet to Come is a foreboding spirit that shows Scrooge the potential consequences of his actions if he does not change.""The Ghost of Christmas Yet to Come is a foreboding spirit that shows Scrooge the potential consequences of his actions if he does not change.""The Ghost of Christmas Yet to Come is a foreboding spirit that shows Scrooge the potential consequences of his actions if he does not change.""The Ghost of Christmas Yet to Come is a foreboding spirit that shows Scrooge the potential consequences of his actions if he does not change.""The Ghost of Christmas Yet to Come is a foreboding spirit that shows Scrooge the potential consequences of his actions if he does not change.""The Ghost of Christmas Yet to Come is an apparition that presents Scrooge with a grim vision of his possible future if he doesn\'t change his ways.""The Ghost of Christmas Yet to Come is an event within the story that signifies Scrooge\'s confrontation with the future consequences of his actions.""The Ghost of Christmas Yet to Come signifies a pivotal moment where Scrooge is confronted with the potential futures resulting from his life choices.""The Ghost of Christmas Yet to Come signifies a pivotal moment where Scrooge is confronted with the potential futures resulting from his life choices.""The Ghost of Christmas Yet to Come signifies a pivotal moment where Scrooge is confronted with the potential futures resulting from his life choices.""The Ghost of Christmas Yet to Come signifies a pivotal moment where Scrooge is confronted with the potential futures resulting from his life choices.""The Ghost of Christmas Yet to Come signifies a pivotal moment where Scrooge is confronted with the potential futures resulting from his life choices."', 'source_id': 'chunk-02baee20cc9463dbe08170a8e1043e32chunk-9e3921da66da5d761ab73cd849af6c43'} -2024-10-30 06:44:11,736 - lightrag - INFO - get_node:query:MATCH (n:`FRED`) RETURN n:result:"Fred is Scrooge\'s nephew who expresses admiration for Scrooge and raises a toast to his uncle during a Christmas gathering.""Fred is Scrooge\'s nephew, representing familial love and the joy of Christmas gatherings.""Fred is Scrooge\'s nephew, who invites Scrooge to dinner, emphasizing familial connections and the spirit of Christmas.""Fred is Scrooge\'s nephew, who is surprised by Scrooge\'s visit and is depicted as a friendly figure during the Christmas gathering."Fred is Ebenezer Scrooge\'s lively nephew, who embodies the spirit of Christmas and serves as a striking contrast to Scrooge\'s misanthropic nature. He represents familial love and joy, often inviting Scrooge to family gatherings and emphasizing the importance of familial connections during the holiday season. Fred expresses admiration for his uncle and raises a toast in his honor at Christmas gatherings, showcasing his warmth and festive spirit. His character highlights the warmth of family that Scrooge initially rejects, and he is depicted as a friendly figure who is surprised and pleased by Scrooge\'s unexpected visits. Overall, Fred exemplifies the joy and unity of Christmas, passionately inviting Scrooge to embrace the happiness associated with the holiday and family.', 'source_id': 'chunk-e7637ff18c5ded77a68cce0a87883fadchunk-94bea83e7153fc2064aa382b494936a1chunk-9e3921da66da5d761ab73cd849af6c43chunk-8f738cb25d60a7dab782162d9d0a25edchunk-89777b838d5447c7bd1ec11282c4ee89'}> -2024-10-30 06:44:11,873 - lightrag - INFO - _do_upsert:query: - MERGE (n:`FRED`) - SET n += $properties - RETURN n - :result:{'entity_type': '"PERSON"', 'description': '"Fred is Ebenezer Scrooge\'s nephew, who embodies the spirit of Christmas and represents familial love and joy.""Fred is Ebenezer Scrooge\'s nephew, who embodies the spirit of Christmas and represents familial love and joy.""Fred is Scrooge\'s nephew who expresses admiration for Scrooge and raises a toast to his uncle during a Christmas gathering.""Fred is Scrooge\'s nephew, representing familial love and the joy of Christmas gatherings.""Fred is Scrooge\'s nephew, who invites Scrooge to dinner, emphasizing familial connections and the spirit of Christmas.""Fred is Scrooge\'s nephew, who is surprised by Scrooge\'s visit and is depicted as a friendly figure during the Christmas gathering."Fred is Ebenezer Scrooge\'s lively nephew, who embodies the spirit of Christmas and serves as a striking contrast to Scrooge\'s misanthropic nature. He represents familial love and joy, often inviting Scrooge to family gatherings and emphasizing the importance of familial connections during the holiday season. Fred expresses admiration for his uncle and raises a toast in his honor at Christmas gatherings, showcasing his warmth and festive spirit. His character highlights the warmth of family that Scrooge initially rejects, and he is depicted as a friendly figure who is surprised and pleased by Scrooge\'s unexpected visits. Overall, Fred exemplifies the joy and unity of Christmas, passionately inviting Scrooge to embrace the happiness associated with the holiday and family."Fred is Scrooge\'s nephew who expresses admiration for Scrooge and raises a toast to his uncle during a Christmas gathering.""Fred is Scrooge\'s nephew, representing familial love and the joy of Christmas gatherings.""Fred is Scrooge\'s nephew, who invites Scrooge to dinner, emphasizing familial connections and the spirit of Christmas.""Fred is Scrooge\'s nephew, who is surprised by Scrooge\'s visit and is depicted as a friendly figure during the Christmas gathering."', 'source_id': 'chunk-89777b838d5447c7bd1ec11282c4ee89chunk-e7637ff18c5ded77a68cce0a87883fadchunk-9e3921da66da5d761ab73cd849af6c43chunk-94bea83e7153fc2064aa382b494936a1chunk-8f738cb25d60a7dab782162d9d0a25ed'} -2024-10-30 06:44:12,003 - lightrag - INFO - get_node:query:MATCH (n:`MRS. CRATCHIT`) RETURN n:result:chunk-7e2e7ebcc19a53b399dc03aded4743e7chunk-503f0bfa5453467c7c61d160a3540ecachunk-19d72c57ae3408758b18d2568e86dc6bchunk-9e3921da66da5d761ab73cd849af6c43chunk-b0f459f5af1c3a5e0b92cbe4ee48b77bchunk-91572b3cd42786ba4cb2f180ca25cbf4'}> -2024-10-30 06:44:12,136 - lightrag - INFO - _do_upsert:query: - MERGE (n:`MRS. CRATCHIT`) - SET n += $properties - RETURN n - :result:{'entity_type': '"PERSON"', 'description': '"Mrs. Cratchit is Bob\'s wife, portrayed as devoted and hardworking, striving to create a joyous atmosphere for her family despite limited resources.""Mrs. Cratchit is Bob\'s wife, proud of her cooking skills, particularly the Christmas pudding, and plays a central role in the family\'s holiday celebration.""Mrs. Cratchit is Bob\'s wife, who expresses care for her family and shares in the emotional moments surrounding Tiny Tim\'s health.""Mrs. Cratchit is portrayed as outspoken and resentful towards Scrooge, yet ultimately participates in the Christmas festivities for her family\'s sake.""Mrs. Cratchit is the mother of the Cratchit family, depicted as nurturing and energetic, managing the Christmas preparations and caring for her children.""Mrs. Cratchit is the wife of Bob Cratchit, who supports her family and embodies warmth and resilience despite their struggles.""Mrs. Cratchit, the wife of Bob, is industrious and caring, focused on the well-being of her family."Mrs. Cratchit is Bob Cratchit\'s devoted and hardworking wife, who plays a vital role in nurturing their family. She is characterized by her strong dedication to creating a joyous atmosphere in their home, despite the financial difficulties they face. As the mother of the Cratchit family, Mrs. Cratchit is nurturing and energetic, diligently managing Christmas preparations and ensuring that her children are well taken care of.\n\nProud of her cooking skills, particularly her Christmas pudding, Mrs. Cratchit showcases her commitment to family traditions. During the holiday festivities, she is actively involved, embodying warmth and resilience as she prepares meals and engages in celebrations that lift her family’s spirits. Her love for her family is evident as she expresses concern for her children, especially Tiny Tim, whose health brings emotional depth to their Christmas gathering.\n\nWhile she is portrayed as outspoken and harboring resentment towards Scrooge, she ultimately puts aside her feelings to fully participate in the Christmas festivities for the sake of her family. Her character embodies a blend of strength and vulnerability, reflecting both her pride and her struggles, and she remains a pivotal figure in the family\'s emotional dynamics during the holiday season.', 'source_id': 'chunk-b0f459f5af1c3a5e0b92cbe4ee48b77bchunk-19d72c57ae3408758b18d2568e86dc6bchunk-503f0bfa5453467c7c61d160a3540ecachunk-91572b3cd42786ba4cb2f180ca25cbf4chunk-9e3921da66da5d761ab73cd849af6c43chunk-7e2e7ebcc19a53b399dc03aded4743e7chunk-1d4b58de5429cd1261370c231c8673e8'} -2024-10-30 06:44:12,263 - lightrag - INFO - get_node:query:MATCH (n:`BELINDA CRATCHIT`) RETURN n:result:"Belinda Cratchit is one of Bob Cratchit\'s daughters, assisting her mother in laying the dining cloth.""Belinda is a daughter of Bob and Mrs. Cratchit, representing the Cratchit family\'s love and unity during difficult times.""Belinda Cratchit is one of Bob\'s daughters, assisting in household tasks and showing a strong familial bond.""Belinda is the daughter of Bob and Mrs. Cratchit, representing the innocence and joyful spirit of the Cratchit family.""Belinda Cratchit is one of Bob\'s daughters, assisting in household tasks and showing a strong familial bond.""Belinda is the daughter of Bob and Mrs. Cratchit, representing the innocence and joyful spirit of the Cratchit family.""Belinda Cratchit is one of Bob\'s daughters, assisting in household tasks and showing a strong familial bond.""Belinda is the daughter of Bob and Mrs. Cratchit, representing the innocence and joyful spirit of the Cratchit family.""Belinda Cratchit is one of Bob\'s daughters, assisting in household tasks and showing a strong familial bond.""Belinda is the daughter of Bob and Mrs. Cratchit, representing the innocence and joyful spirit of the Cratchit family."', 'source_id': 'chunk-7e2e7ebcc19a53b399dc03aded4743e7chunk-b0f459f5af1c3a5e0b92cbe4ee48b77bchunk-9e3921da66da5d761ab73cd849af6c43'}> -2024-10-30 06:44:12,393 - lightrag - INFO - _do_upsert:query: - MERGE (n:`BELINDA CRATCHIT`) - SET n += $properties - RETURN n - :result:{'entity_type': '"PERSON"', 'description': '"Belinda Cratchit is another daughter in the Cratchit family, depicted as participating in the festive meal by sweetening the apple sauce, showcasing her involvement in family traditions.""Belinda Cratchit is one of Bob Cratchit\'s daughters, assisting her mother in laying the dining cloth.""Belinda is a daughter of Bob and Mrs. Cratchit, representing the Cratchit family\'s love and unity during difficult times.""Belinda Cratchit is one of Bob\'s daughters, assisting in household tasks and showing a strong familial bond.""Belinda is the daughter of Bob and Mrs. Cratchit, representing the innocence and joyful spirit of the Cratchit family.""Belinda Cratchit is one of Bob\'s daughters, assisting in household tasks and showing a strong familial bond.""Belinda is the daughter of Bob and Mrs. Cratchit, representing the innocence and joyful spirit of the Cratchit family.""Belinda Cratchit is one of Bob\'s daughters, assisting in household tasks and showing a strong familial bond.""Belinda is the daughter of Bob and Mrs. Cratchit, representing the innocence and joyful spirit of the Cratchit family.""Belinda Cratchit is one of Bob\'s daughters, assisting in household tasks and showing a strong familial bond.""Belinda is the daughter of Bob and Mrs. Cratchit, representing the innocence and joyful spirit of the Cratchit family.""Belinda Cratchit is one of Bob\'s daughters, assisting in household tasks and showing a strong familial bond.""Belinda is the daughter of Bob and Mrs. Cratchit, representing the innocence and joyful spirit of the Cratchit family."', 'source_id': 'chunk-7e2e7ebcc19a53b399dc03aded4743e7chunk-9e3921da66da5d761ab73cd849af6c43chunk-b0f459f5af1c3a5e0b92cbe4ee48b77b'} -2024-10-30 06:44:12,520 - lightrag - INFO - get_node:query:MATCH (n:`MARTHA CRATCHIT`) RETURN n:result:"Martha is another daughter of Bob and Mrs. Cratchit, who, like her sister Belinda, symbolizes the warmth and togetherness in the Cratchit household.""Martha Cratchit is a daughter of Bob and Mrs. Cratchit, working as an apprentice at a milliner\'s and looking forward to the holiday for a good rest.""Martha is another daughter of Bob and Mrs. Cratchit, who shows love and care for her family.""Martha Cratchit is a daughter of Bob and Mrs. Cratchit, working as an apprentice at a milliner\'s and looking forward to the holiday for a good rest.""Martha is another daughter of Bob and Mrs. Cratchit, who shows love and care for her family.""Martha Cratchit is a daughter of Bob and Mrs. Cratchit, working as an apprentice at a milliner\'s and looking forward to the holiday for a good rest.""Martha is another daughter of Bob and Mrs. Cratchit, who shows love and care for her family.""Martha Cratchit is a daughter of Bob and Mrs. Cratchit, working as an apprentice at a milliner\'s and looking forward to the holiday for a good rest.""Martha is another daughter of Bob and Mrs. Cratchit, who shows love and care for her family."', 'source_id': 'chunk-7e2e7ebcc19a53b399dc03aded4743e7chunk-19d72c57ae3408758b18d2568e86dc6bchunk-9e3921da66da5d761ab73cd849af6c43'}> -2024-10-30 06:44:12,653 - lightrag - INFO - _do_upsert:query: - MERGE (n:`MARTHA CRATCHIT`) - SET n += $properties - RETURN n - :result:{'entity_type': '"PERSON"', 'description': '"Martha Cratchit is a daughter in the Cratchit family who contributes to the household and shows affection for her family, particularly her father Bob.""Martha is another daughter of Bob and Mrs. Cratchit, who, like her sister Belinda, symbolizes the warmth and togetherness in the Cratchit household.""Martha Cratchit is a daughter of Bob and Mrs. Cratchit, working as an apprentice at a milliner\'s and looking forward to the holiday for a good rest.""Martha is another daughter of Bob and Mrs. Cratchit, who shows love and care for her family.""Martha Cratchit is a daughter of Bob and Mrs. Cratchit, working as an apprentice at a milliner\'s and looking forward to the holiday for a good rest.""Martha is another daughter of Bob and Mrs. Cratchit, who shows love and care for her family.""Martha Cratchit is a daughter of Bob and Mrs. Cratchit, working as an apprentice at a milliner\'s and looking forward to the holiday for a good rest.""Martha is another daughter of Bob and Mrs. Cratchit, who shows love and care for her family.""Martha Cratchit is a daughter of Bob and Mrs. Cratchit, working as an apprentice at a milliner\'s and looking forward to the holiday for a good rest.""Martha is another daughter of Bob and Mrs. Cratchit, who shows love and care for her family.""Martha Cratchit is a daughter of Bob and Mrs. Cratchit, working as an apprentice at a milliner\'s and looking forward to the holiday for a good rest.""Martha is another daughter of Bob and Mrs. Cratchit, who shows love and care for her family."', 'source_id': 'chunk-19d72c57ae3408758b18d2568e86dc6bchunk-7e2e7ebcc19a53b399dc03aded4743e7chunk-9e3921da66da5d761ab73cd849af6c43'} -2024-10-30 06:44:12,780 - lightrag - INFO - get_node:query:MATCH (n:`JOE`) RETURN n:result:"Joe is a marine-store dealer depicted as receiving stolen goods, illustrating the consequences of crime and the darker sides of society.""Joe is portrayed as a character engaged in a conversation about the deceased, displaying a mix of humor and practicality in dealing with the possessions of the dead.""Joe is a character who interacts with others, demonstrating a sense of curiosity and disbelief regarding certain situations and comments.""Joe is a marine-store dealer and receiver of stolen goods, indicative of the darker, more unscrupulous elements of society.""Joe is an old character who engages in conversation about the deceased man\'s belongings, revealing his pragmatic and somewhat cynical perspective on life and death.""Joe is a character who interacts with others, demonstrating a sense of curiosity and disbelief regarding certain situations and comments.""Joe is a marine-store dealer and receiver of stolen goods, indicative of the darker, more unscrupulous elements of society.""Joe is an old character who engages in conversation about the deceased man\'s belongings, revealing his pragmatic and somewhat cynical perspective on life and death.""Joe is a character who interacts with others, demonstrating a sense of curiosity and disbelief regarding certain situations and comments.""Joe is a marine-store dealer and receiver of stolen goods, indicative of the darker, more unscrupulous elements of society.""Joe is an old character who engages in conversation about the deceased man\'s belongings, revealing his pragmatic and somewhat cynical perspective on life and death.""Joe is a character who interacts with others, demonstrating a sense of curiosity and disbelief regarding certain situations and comments.""Joe is a marine-store dealer and receiver of stolen goods, indicative of the darker, more unscrupulous elements of society.""Joe is an old character who engages in conversation about the deceased man\'s belongings, revealing his pragmatic and somewhat cynical perspective on life and death."', 'source_id': 'chunk-89777b838d5447c7bd1ec11282c4ee89chunk-e1f29eeadc1d8ab46dc8a0bbd3c56b64chunk-9e3921da66da5d761ab73cd849af6c43'}> -2024-10-30 06:44:12,908 - lightrag - INFO - _do_upsert:query: - MERGE (n:`JOE`) - SET n += $properties - RETURN n - :result:{'entity_type': '"PERSON"', 'description': '"Joe is a character engaged in a conversation, displaying curiosity and a sense of humor regarding a situation related to \'bed-curtains\'.""Joe is a marine-store dealer depicted as receiving stolen goods, illustrating the consequences of crime and the darker sides of society.""Joe is portrayed as a character engaged in a conversation about the deceased, displaying a mix of humor and practicality in dealing with the possessions of the dead.""Joe is a character who interacts with others, demonstrating a sense of curiosity and disbelief regarding certain situations and comments.""Joe is a marine-store dealer and receiver of stolen goods, indicative of the darker, more unscrupulous elements of society.""Joe is an old character who engages in conversation about the deceased man\'s belongings, revealing his pragmatic and somewhat cynical perspective on life and death.""Joe is a character who interacts with others, demonstrating a sense of curiosity and disbelief regarding certain situations and comments.""Joe is a marine-store dealer and receiver of stolen goods, indicative of the darker, more unscrupulous elements of society.""Joe is an old character who engages in conversation about the deceased man\'s belongings, revealing his pragmatic and somewhat cynical perspective on life and death.""Joe is a character who interacts with others, demonstrating a sense of curiosity and disbelief regarding certain situations and comments.""Joe is a marine-store dealer and receiver of stolen goods, indicative of the darker, more unscrupulous elements of society.""Joe is an old character who engages in conversation about the deceased man\'s belongings, revealing his pragmatic and somewhat cynical perspective on life and death.""Joe is a character who interacts with others, demonstrating a sense of curiosity and disbelief regarding certain situations and comments.""Joe is a marine-store dealer and receiver of stolen goods, indicative of the darker, more unscrupulous elements of society.""Joe is an old character who engages in conversation about the deceased man\'s belongings, revealing his pragmatic and somewhat cynical perspective on life and death.""Joe is a character who interacts with others, demonstrating a sense of curiosity and disbelief regarding certain situations and comments.""Joe is a marine-store dealer and receiver of stolen goods, indicative of the darker, more unscrupulous elements of society.""Joe is an old character who engages in conversation about the deceased man\'s belongings, revealing his pragmatic and somewhat cynical perspective on life and death."', 'source_id': 'chunk-e1f29eeadc1d8ab46dc8a0bbd3c56b64chunk-9e3921da66da5d761ab73cd849af6c43chunk-89777b838d5447c7bd1ec11282c4ee89'} -2024-10-30 06:44:13,040 - lightrag - INFO - get_node:query:MATCH (n:`GHOST OF JACOB MARLEY`) RETURN n:result:"The Ghost of Jacob Marley is the specter of Scrooge\'s former business partner, who warns Scrooge to change his ways.""The Ghost of Jacob Marley is the specter of Scrooge\'s former business partner, who warns Scrooge to change his ways.""The Ghost of Jacob Marley is the specter of Scrooge\'s former business partner, who warns Scrooge to change his ways.""The Ghost of Jacob Marley is the specter of Scrooge\'s former business partner, who warns Scrooge to change his ways."', 'source_id': 'chunk-9e3921da66da5d761ab73cd849af6c43'}> -2024-10-30 06:44:13,170 - lightrag - INFO - _do_upsert:query: - MERGE (n:`GHOST OF JACOB MARLEY`) - SET n += $properties - RETURN n - :result:{'entity_type': '"EVENT"', 'description': '"The Ghost of Jacob Marley is Scrooge\'s deceased business partner who returns as a spirit to warn Scrooge about the consequences of his life choices and to encourage change.""The Ghost of Jacob Marley is the specter of Scrooge\'s former business partner, who warns Scrooge to change his ways.""The Ghost of Jacob Marley is the specter of Scrooge\'s former business partner, who warns Scrooge to change his ways.""The Ghost of Jacob Marley is the specter of Scrooge\'s former business partner, who warns Scrooge to change his ways.""The Ghost of Jacob Marley is the specter of Scrooge\'s former business partner, who warns Scrooge to change his ways.""The Ghost of Jacob Marley is the specter of Scrooge\'s former business partner, who warns Scrooge to change his ways."', 'source_id': 'chunk-9e3921da66da5d761ab73cd849af6c43'} -2024-10-30 06:44:13,291 - lightrag - INFO - get_node:query:MATCH (n:`FAN`) RETURN n:result:"Fan is Ebenezer Scrooge\'s sister, who represents love and kindness from Scrooge\'s past, influencing his character development.""Fan is Ebenezer Scrooge\'s sister, who represents love and kindness from Scrooge\'s past, influencing his character development.""Fan is Ebenezer Scrooge\'s sister, who represents love and kindness from Scrooge\'s past, influencing his character development.""Fan is Scrooge\'s caring sister who represents innocence and love, showcasing a more tender side of Scrooge’s past.""Fan is Scrooge\'s younger sister, who brings joy and the promise of a happier home, reflecting on their childhood relationship.""Fan is Scrooge\'s younger sister, who brings joy and the promise of a happier home, reflecting on their childhood relationship.""Fan is Scrooge\'s younger sister, who brings joy and the promise of a happier home, reflecting on their childhood relationship.""Fan is Scrooge\'s younger sister, who brings joy and the promise of a happier home, reflecting on their childhood relationship."', 'source_id': 'chunk-9e3921da66da5d761ab73cd849af6c43chunk-c6c248858d1b13ab7ee9ca13c1aeed6b'}> -2024-10-30 06:44:13,418 - lightrag - INFO - _do_upsert:query: - MERGE (n:`FAN`) - SET n += $properties - RETURN n - :result:{'entity_type': '"PERSON"', 'description': '"Fan is Ebenezer Scrooge\'s sister, who represents love and kindness from Scrooge\'s past, influencing his character development.""Fan is Ebenezer Scrooge\'s sister, who represents love and kindness from Scrooge\'s past, influencing his character development.""Fan is Ebenezer Scrooge\'s sister, who represents love and kindness from Scrooge\'s past, influencing his character development.""Fan is Ebenezer Scrooge\'s sister, who represents love and kindness from Scrooge\'s past, influencing his character development.""Fan is Ebenezer Scrooge\'s sister, who represents love and kindness from Scrooge\'s past, influencing his character development.""Fan is Scrooge\'s caring sister who represents innocence and love, showcasing a more tender side of Scrooge’s past.""Fan is Scrooge\'s younger sister, who brings joy and the promise of a happier home, reflecting on their childhood relationship.""Fan is Scrooge\'s younger sister, who brings joy and the promise of a happier home, reflecting on their childhood relationship.""Fan is Scrooge\'s younger sister, who brings joy and the promise of a happier home, reflecting on their childhood relationship.""Fan is Scrooge\'s younger sister, who brings joy and the promise of a happier home, reflecting on their childhood relationship.""Fan is Scrooge\'s younger sister, who brings joy and the promise of a happier home, reflecting on their childhood relationship."', 'source_id': 'chunk-c6c248858d1b13ab7ee9ca13c1aeed6bchunk-9e3921da66da5d761ab73cd849af6c43'} -2024-10-30 06:44:13,544 - lightrag - INFO - get_node:query:MATCH (n:`MRS. FEZZIWIG`) RETURN n:result:"Mrs. Fezziwig is the kind partner of Mr. Fezziwig, contributing to the festive atmosphere of their celebrations, emphasizing the importance of joyous gatherings.""Mrs. Fezziwig is the wife of Fezziwig, joining him in celebrations and dances, embodying warmth and partnership.""Mrs. Fezziwig is the wife of Fezziwig, participating in the dance, representing companionship and festive cheer.""Mrs. Fezziwig is noted for her smile and participation in the festivities, particularly in dancing with Fezziwig.""Mrs. Fezziwig is the partner of Mr. Fezziwig, known for her warmth and joyous nature during Christmas celebrations.""Mrs. Fezziwig partners with Fezziwig in hosting the domestic ball, contributing to the warmth and cheer of the event.""Mrs. Fezziwig is noted for her smile and participation in the festivities, particularly in dancing with Fezziwig.""Mrs. Fezziwig is the partner of Mr. Fezziwig, known for her warmth and joyous nature during Christmas celebrations.""Mrs. Fezziwig partners with Fezziwig in hosting the domestic ball, contributing to the warmth and cheer of the event.""Mrs. Fezziwig is noted for her smile and participation in the festivities, particularly in dancing with Fezziwig.""Mrs. Fezziwig is the partner of Mr. Fezziwig, known for her warmth and joyous nature during Christmas celebrations.""Mrs. Fezziwig partners with Fezziwig in hosting the domestic ball, contributing to the warmth and cheer of the event.""Mrs. Fezziwig is noted for her smile and participation in the festivities, particularly in dancing with Fezziwig.""Mrs. Fezziwig is the partner of Mr. Fezziwig, known for her warmth and joyous nature during Christmas celebrations.""Mrs. Fezziwig partners with Fezziwig in hosting the domestic ball, contributing to the warmth and cheer of the event."', 'source_id': 'chunk-b2f98bc7abb0c67d4c86055c7fd72218chunk-89777b838d5447c7bd1ec11282c4ee89chunk-9e3921da66da5d761ab73cd849af6c43chunk-8bc1edd983869352d14cf0886a9175a7'}> -2024-10-30 06:44:13,546 - lightrag - DEBUG - Trigger summary: "MRS. FEZZIWIG" -2024-10-30 06:44:13,643 - lightrag - INFO - get_node:query:MATCH (n:`FEZZIWIG`) RETURN n:result:"Fezziwig is a joyful and lively character who dances with Mrs. Fezziwig, embodying the festive spirit of Christmas.""Fezziwig is presented as Scrooge\'s former employer, known for his jovial nature and generous spirit, who plays a significant role in Scrooge\'s memories.""Fezziwig is the owner of a business where festive celebrations take place, known for his jovial character and ability to create a lively atmosphere."Fezziwig is a character renowned for his role as a joyful and jovial employer who hosts domestic balls, creating an atmosphere filled with happiness and merriment for his participants. He is depicted as a kind-hearted figure who organizes lively Christmas festivities for his employees, exemplifying kindness and generosity. Fezziwig plays a significant role in the memories of Ebenezer Scrooge, being portrayed as his former employer who embodies the true spirit of Christmas.\n\nHe is often seen dancing with his wife, Mrs. Fezziwig, which further illustrates his cheerful nature and the festive spirit surrounding the celebrations. As the owner of a business where these vibrant festivities take place, Fezziwig is celebrated for his ability to create a lively and joyful environment, leaving a lasting impression on those who encounter him during the festive seasons. His portrayal encapsulates the essence of joy, generosity, and the festive spirit, making him a beloved character in the narrative of Scrooge\'s past.', 'source_id': 'chunk-89777b838d5447c7bd1ec11282c4ee89chunk-b2f98bc7abb0c67d4c86055c7fd72218chunk-8bc1edd983869352d14cf0886a9175a7chunk-c6c248858d1b13ab7ee9ca13c1aeed6b'}> -2024-10-30 06:44:13,775 - lightrag - INFO - _do_upsert:query: - MERGE (n:`FEZZIWIG`) - SET n += $properties - RETURN n - :result:{'entity_type': '"PERSON"', 'description': '"Fezziwig is a character known for hosting a domestic ball that brings joy and merriment to the participants, showcasing his ability to create happiness.""Fezziwig is a character known for hosting a domestic ball that brings joy and merriment to the participants, showcasing his ability to create happiness.""Fezziwig is a joyful and lively character who dances with Mrs. Fezziwig, embodying the festive spirit of Christmas.""Fezziwig is presented as Scrooge\'s former employer, known for his jovial nature and generous spirit, who plays a significant role in Scrooge\'s memories.""Fezziwig is the owner of a business where festive celebrations take place, known for his jovial character and ability to create a lively atmosphere."Fezziwig is a character renowned for his role as a joyful and jovial employer who hosts domestic balls, creating an atmosphere filled with happiness and merriment for his participants. He is depicted as a kind-hearted figure who organizes lively Christmas festivities for his employees, exemplifying kindness and generosity. Fezziwig plays a significant role in the memories of Ebenezer Scrooge, being portrayed as his former employer who embodies the true spirit of Christmas.\n\nHe is often seen dancing with his wife, Mrs. Fezziwig, which further illustrates his cheerful nature and the festive spirit surrounding the celebrations. As the owner of a business where these vibrant festivities take place, Fezziwig is celebrated for his ability to create a lively and joyful environment, leaving a lasting impression on those who encounter him during the festive seasons. His portrayal encapsulates the essence of joy, generosity, and the festive spirit, making him a beloved character in the narrative of Scrooge\'s past."Fezziwig is a joyful and lively character who dances with Mrs. Fezziwig, embodying the festive spirit of Christmas.""Fezziwig is presented as Scrooge\'s former employer, known for his jovial nature and generous spirit, who plays a significant role in Scrooge\'s memories.""Fezziwig is the owner of a business where festive celebrations take place, known for his jovial character and ability to create a lively atmosphere."', 'source_id': 'chunk-b2f98bc7abb0c67d4c86055c7fd72218chunk-c6c248858d1b13ab7ee9ca13c1aeed6bchunk-8bc1edd983869352d14cf0886a9175a7chunk-89777b838d5447c7bd1ec11282c4ee89'} -2024-10-30 06:44:13,903 - lightrag - INFO - get_node:query:MATCH (n:`SCROOGE`) RETURN n:result:chunk-90d5764e301321c087f5a8f78b73a145chunk-90b95db5c53e4364a6bee36b7aa4d70fchunk-5dac41b3f9eeaf794f0147400b1718cdchunk-d9aac3484185ac66045df92214d245d5chunk-359187e7571bda4b0b08b2e0b6581e52chunk-8f738cb25d60a7dab782162d9d0a25edchunk-89777b838d5447c7bd1ec11282c4ee89chunk-b2f98bc7abb0c67d4c86055c7fd72218chunk-cb661c37436355ccec2769b1d0350c5fchunk-8590d9263cd2cd4fa583c432fc54e6c3chunk-94bea83e7153fc2064aa382b494936a1chunk-83ac129dc9b56f84c46760d153d68e93chunk-91614df5cb74cbe5e109a338a82041e9chunk-19d72c57ae3408758b18d2568e86dc6bchunk-c7b10789a9cb0af6c553730b29bd9034chunk-bb21d58d36c6306fd8810ddd51c4a971chunk-43c9bee23adfa77aa9dedd22401bba7dchunk-f1a4fbcf1ed86864b9bfd5e8dba4c683chunk-773d0df1dd25c356f7b771d780583e09chunk-e7637ff18c5ded77a68cce0a87883fadchunk-da2472b4ef2a535b62908f14d0fb0ca9chunk-54bdd22db1f84a965b5f4c06c9216d8dchunk-74e2466de2f67fd710ef2f20c0a8d9e0chunk-99b0ec7f7e006561352b5d65e849611dchunk-91572b3cd42786ba4cb2f180ca25cbf4chunk-c6c248858d1b13ab7ee9ca13c1aeed6bchunk-9c43dac2fcd5b578242d907ea6f8fc7bchunk-843b5b2f944c7413d9ca876e2e2f151fchunk-e1f29eeadc1d8ab46dc8a0bbd3c56b64chunk-503f0bfa5453467c7c61d160a3540ecachunk-02baee20cc9463dbe08170a8e1043e32chunk-b0f459f5af1c3a5e0b92cbe4ee48b77b'}> -2024-10-30 06:44:13,907 - lightrag - DEBUG - Trigger summary: "SCROOGE" -2024-10-30 06:44:14,004 - lightrag - INFO - get_node:query:MATCH (n:`MARLEY`) RETURN n:result:"Marley is Scrooge\'s deceased business partner, whose death is a significant event that sets the tone for the story.""Marley is Scrooge\'s deceased business partner, whose death is mentioned as impactful, having passed seven years prior to the events in the text.""Marley is depicted as a ghost, having a pigtail, waistcoat, tights, and boots, and is central to Scrooge\'s haunting experience."Marley is Scrooge\'s deceased business partner, whose presence looms over the narrative of the story, symbolizing the dire consequences of a life lived without compassion and care for others. His death serves as a significant event that sets the tone for the plot and reflects the overarching themes of regret and the supernatural.\n\nMarley passed away seven years prior to the events depicted, making his spectral appearance even more impactful. Despite being a character who is only mentioned throughout much of the story, his influence on Scrooge is profound, as reflections and memories of Marley shape Scrooge\'s perspective on life and relationships. This ghostly figure is depicted distinctly with a pigtail, waistcoat, tights, and boots, making him central to Scrooge\'s haunting experience.\n\nOverall, Marley represents the weight of past actions and the importance of empathy, acting as a harbinger of transformation for Scrooge. His ghostly manifestation evokes both fear and introspection, ultimately contributing to the moral lessons embedded in the tale.', 'source_id': 'chunk-9c43dac2fcd5b578242d907ea6f8fc7bchunk-843b5b2f944c7413d9ca876e2e2f151fchunk-5dac41b3f9eeaf794f0147400b1718cdchunk-d9aac3484185ac66045df92214d245d5chunk-89777b838d5447c7bd1ec11282c4ee89'}> -2024-10-30 06:44:14,134 - lightrag - INFO - _do_upsert:query: - MERGE (n:`MARLEY`) - SET n += $properties - RETURN n - :result:{'entity_type': '"PERSON"', 'description': '"Marley is Scrooge\'s deceased business partner whose presence looms over the story, symbolizing the consequences of a life similar to Scrooge\'s.""Marley is Scrooge\'s deceased business partner whose presence looms over the story, symbolizing the consequences of a life similar to Scrooge\'s.""Marley is Scrooge\'s deceased business partner, whose death is a significant event that sets the tone for the story.""Marley is Scrooge\'s deceased business partner, whose death is mentioned as impactful, having passed seven years prior to the events in the text.""Marley is depicted as a ghost, having a pigtail, waistcoat, tights, and boots, and is central to Scrooge\'s haunting experience."Marley is Scrooge\'s deceased business partner, whose presence looms over the narrative of the story, symbolizing the dire consequences of a life lived without compassion and care for others. His death serves as a significant event that sets the tone for the plot and reflects the overarching themes of regret and the supernatural.\n\nMarley passed away seven years prior to the events depicted, making his spectral appearance even more impactful. Despite being a character who is only mentioned throughout much of the story, his influence on Scrooge is profound, as reflections and memories of Marley shape Scrooge\'s perspective on life and relationships. This ghostly figure is depicted distinctly with a pigtail, waistcoat, tights, and boots, making him central to Scrooge\'s haunting experience.\n\nOverall, Marley represents the weight of past actions and the importance of empathy, acting as a harbinger of transformation for Scrooge. His ghostly manifestation evokes both fear and introspection, ultimately contributing to the moral lessons embedded in the tale."Marley is Scrooge\'s deceased business partner, whose death is a significant event that sets the tone for the story.""Marley is Scrooge\'s deceased business partner, whose death is mentioned as impactful, having passed seven years prior to the events in the text.""Marley is depicted as a ghost, having a pigtail, waistcoat, tights, and boots, and is central to Scrooge\'s haunting experience."', 'source_id': 'chunk-5dac41b3f9eeaf794f0147400b1718cdchunk-89777b838d5447c7bd1ec11282c4ee89chunk-d9aac3484185ac66045df92214d245d5chunk-9c43dac2fcd5b578242d907ea6f8fc7bchunk-843b5b2f944c7413d9ca876e2e2f151f'} -2024-10-30 06:44:14,259 - lightrag - INFO - get_node:query:MATCH (n:`CHRISTMAS`) RETURN n:result:chunk-5dac41b3f9eeaf794f0147400b1718cdchunk-8f738cb25d60a7dab782162d9d0a25edchunk-89777b838d5447c7bd1ec11282c4ee89chunk-8590d9263cd2cd4fa583c432fc54e6c3chunk-94bea83e7153fc2064aa382b494936a1chunk-91614df5cb74cbe5e109a338a82041e9chunk-43c9bee23adfa77aa9dedd22401bba7dchunk-773d0df1dd25c356f7b771d780583e09chunk-e7637ff18c5ded77a68cce0a87883fadchunk-da2472b4ef2a535b62908f14d0fb0ca9chunk-54bdd22db1f84a965b5f4c06c9216d8dchunk-74e2466de2f67fd710ef2f20c0a8d9e0chunk-99b0ec7f7e006561352b5d65e849611dchunk-1d4b58de5429cd1261370c231c8673e8chunk-91572b3cd42786ba4cb2f180ca25cbf4chunk-c6c248858d1b13ab7ee9ca13c1aeed6bchunk-503f0bfa5453467c7c61d160a3540ecachunk-02baee20cc9463dbe08170a8e1043e32'}> -2024-10-30 06:44:14,266 - lightrag - DEBUG - Trigger summary: "CHRISTMAS" -2024-10-30 06:44:14,362 - lightrag - INFO - get_node:query:MATCH (n:`THE WAREHOUSE`) RETURN n:result:"The Warehouse is the setting for Fezziwig\'s celebrations, transformed into a ballroom for the festivities.""The Warehouse is the place of business shared by Scrooge and Marley, a symbol of their partnership in life and business.""The Warehouse serves as the setting for Scrooge\'s memories of Fezziwig\'s jovial nature and the lively gatherings during his apprenticeship.""The Warehouse is the place of business shared by Scrooge and Marley, a symbol of their partnership in life and business.""The Warehouse serves as the setting for Scrooge\'s memories of Fezziwig\'s jovial nature and the lively gatherings during his apprenticeship.""The Warehouse is the place of business shared by Scrooge and Marley, a symbol of their partnership in life and business.""The Warehouse serves as the setting for Scrooge\'s memories of Fezziwig\'s jovial nature and the lively gatherings during his apprenticeship.""The Warehouse is the place of business shared by Scrooge and Marley, a symbol of their partnership in life and business.""The Warehouse serves as the setting for Scrooge\'s memories of Fezziwig\'s jovial nature and the lively gatherings during his apprenticeship."', 'source_id': 'chunk-89777b838d5447c7bd1ec11282c4ee89chunk-8bc1edd983869352d14cf0886a9175a7chunk-c6c248858d1b13ab7ee9ca13c1aeed6b'}> -2024-10-30 06:44:14,490 - lightrag - INFO - _do_upsert:query: - MERGE (n:`THE WAREHOUSE`) - SET n += $properties - RETURN n - :result:{'entity_type': '"ORGANIZATION"', 'description': '"The Warehouse is a specific location where Scrooge had previously apprenticed and holds significant memories for him.""The Warehouse is the setting for Fezziwig\'s celebrations, transformed into a ballroom for the festivities.""The Warehouse is the place of business shared by Scrooge and Marley, a symbol of their partnership in life and business.""The Warehouse serves as the setting for Scrooge\'s memories of Fezziwig\'s jovial nature and the lively gatherings during his apprenticeship.""The Warehouse is the place of business shared by Scrooge and Marley, a symbol of their partnership in life and business.""The Warehouse serves as the setting for Scrooge\'s memories of Fezziwig\'s jovial nature and the lively gatherings during his apprenticeship.""The Warehouse is the place of business shared by Scrooge and Marley, a symbol of their partnership in life and business.""The Warehouse serves as the setting for Scrooge\'s memories of Fezziwig\'s jovial nature and the lively gatherings during his apprenticeship.""The Warehouse is the place of business shared by Scrooge and Marley, a symbol of their partnership in life and business.""The Warehouse serves as the setting for Scrooge\'s memories of Fezziwig\'s jovial nature and the lively gatherings during his apprenticeship.""The Warehouse is the place of business shared by Scrooge and Marley, a symbol of their partnership in life and business.""The Warehouse serves as the setting for Scrooge\'s memories of Fezziwig\'s jovial nature and the lively gatherings during his apprenticeship."', 'source_id': 'chunk-c6c248858d1b13ab7ee9ca13c1aeed6bchunk-8bc1edd983869352d14cf0886a9175a7chunk-89777b838d5447c7bd1ec11282c4ee89'} -2024-10-30 06:44:14,619 - lightrag - INFO - get_node:query:MATCH (n:`THE WOMAN`) RETURN n:result:"The Woman is a character involved in the dialogue about the deceased\'s belongings, showing a carefree attitude towards their former owner.""The Woman is a character who enters the shop with a heavy bundle and demonstrates a bold and defiant demeanor, eager to take part in the conversation about the deceased\'s belongings.""The Woman engages in conversation with Joe, providing light-hearted responses and laughing at the absurdity of their discussions.""The Woman is an unknown character, bold and defiant, who instigates the gathering and discusses the deceased with a lack of reverence.""The Woman is another character who interacts with Joe, demonstrating a lack of reverence for the deceased and a focus on material gain.""The Woman engages in conversation with Joe, providing light-hearted responses and laughing at the absurdity of their discussions.""The Woman is an unknown character, bold and defiant, who instigates the gathering and discusses the deceased with a lack of reverence.""The Woman is another character who interacts with Joe, demonstrating a lack of reverence for the deceased and a focus on material gain.""The Woman engages in conversation with Joe, providing light-hearted responses and laughing at the absurdity of their discussions.""The Woman is an unknown character, bold and defiant, who instigates the gathering and discusses the deceased with a lack of reverence.""The Woman is another character who interacts with Joe, demonstrating a lack of reverence for the deceased and a focus on material gain.""The Woman engages in conversation with Joe, providing light-hearted responses and laughing at the absurdity of their discussions.""The Woman is an unknown character, bold and defiant, who instigates the gathering and discusses the deceased with a lack of reverence.""The Woman is another character who interacts with Joe, demonstrating a lack of reverence for the deceased and a focus on material gain."', 'source_id': 'chunk-89777b838d5447c7bd1ec11282c4ee89chunk-e1f29eeadc1d8ab46dc8a0bbd3c56b64chunk-60fc063c79fc0d4acc91a57e79de04dc'}> -2024-10-30 06:44:14,622 - lightrag - DEBUG - Trigger summary: "THE WOMAN" -2024-10-30 06:44:14,722 - lightrag - INFO - get_node:query:MATCH (n:`TIM`) RETURN n:result: -2024-10-30 06:44:14,857 - lightrag - INFO - _do_upsert:query: - MERGE (n:`TIM`) - SET n += $properties - RETURN n - :result:{'entity_type': '"PERSON"', 'description': '"Tim is mentioned as someone important to Scrooge, indicating familial ties and possibly evoking sympathy and regret from Scrooge\'s character."', 'source_id': 'chunk-89777b838d5447c7bd1ec11282c4ee89'} -2024-10-30 06:44:14,987 - lightrag - INFO - get_node:query:MATCH (n:`THE LACE TUCKER`) RETURN n:result:"The Lace Tucker is a fashionable accessory worn by one of Scrooge\'s Niece\'s sisters, representing the social settings and themes of appearance in the gathering.""The Lace Tucker is a fashionable accessory worn by one of Scrooge\'s Niece\'s sisters, representing the social settings and themes of appearance in the gathering.""The Lace Tucker is a fashionable accessory worn by one of Scrooge\'s Niece\'s sisters, representing the social settings and themes of appearance in the gathering.""The Lace Tucker is a small event within the text, illustrating moments of humor and social interactions among characters.""The Lace Tucker is a small event within the text, illustrating moments of humor and social interactions among characters.""The Lace Tucker is a small event within the text, illustrating moments of humor and social interactions among characters.""The Lace Tucker is a small event within the text, illustrating moments of humor and social interactions among characters."', 'source_id': 'chunk-89777b838d5447c7bd1ec11282c4ee89chunk-773d0df1dd25c356f7b771d780583e09'}> -2024-10-30 06:44:15,124 - lightrag - INFO - _do_upsert:query: - MERGE (n:`THE LACE TUCKER`) - SET n += $properties - RETURN n - :result:{'entity_type': '"EVENT"', 'description': '"The Lace Tucker is a fashionable accessory worn by one of Scrooge\'s Niece\'s sisters, representing the social settings and themes of appearance in the gathering.""The Lace Tucker is a fashionable accessory worn by one of Scrooge\'s Niece\'s sisters, representing the social settings and themes of appearance in the gathering.""The Lace Tucker is a fashionable accessory worn by one of Scrooge\'s Niece\'s sisters, representing the social settings and themes of appearance in the gathering.""The Lace Tucker is a fashionable accessory worn by one of Scrooge\'s Niece\'s sisters, representing the social settings and themes of appearance in the gathering.""The Lace Tucker is a fashionable accessory worn by one of Scrooge\'s Niece\'s sisters, representing the social settings and themes of appearance in the gathering.""The Lace Tucker is a small event within the text, illustrating moments of humor and social interactions among characters.""The Lace Tucker is a small event within the text, illustrating moments of humor and social interactions among characters.""The Lace Tucker is a small event within the text, illustrating moments of humor and social interactions among characters.""The Lace Tucker is a small event within the text, illustrating moments of humor and social interactions among characters.""The Lace Tucker is a small event within the text, illustrating moments of humor and social interactions among characters."', 'source_id': 'chunk-773d0df1dd25c356f7b771d780583e09chunk-89777b838d5447c7bd1ec11282c4ee89'} -2024-10-30 06:44:15,255 - lightrag - INFO - get_node:query:MATCH (n:`OLD SCROOGE`) RETURN n:result: -2024-10-30 06:44:15,385 - lightrag - INFO - _do_upsert:query: - MERGE (n:`OLD SCROOGE`) - SET n += $properties - RETURN n - :result:{'entity_type': '"PERSON"', 'description': '"Old Scrooge represents an earlier version of Scrooge, depicted in memories or recollections and emphasizing his character\'s history."', 'source_id': 'chunk-89777b838d5447c7bd1ec11282c4ee89'} -2024-10-30 06:44:15,510 - lightrag - INFO - get_node:query:MATCH (n:`THE FUNERAL`) RETURN n:result:"The Funeral is a context for conversation among characters, reflecting on mortality and social connections surrounding death.""The Funeral is a context for conversation among characters, reflecting on mortality and social connections surrounding death.""The Funeral is a context for conversation among characters, reflecting on mortality and social connections surrounding death.""The Funeral of Marley is a significant event that highlights Scrooge\'s relationship with Marley and sets the tone for their partnership and Scrooge\'s eventual path.""The Funeral serves as a significant event reflecting on Marley\'s death, noted for its business-like atmosphere as perceived by Scrooge.""The Funeral of Marley is a significant event that highlights Scrooge\'s relationship with Marley and sets the tone for their partnership and Scrooge\'s eventual path.""The Funeral of Marley is a significant event that highlights Scrooge\'s relationship with Marley and sets the tone for their partnership and Scrooge\'s eventual path.""The Funeral of Marley is a significant event that highlights Scrooge\'s relationship with Marley and sets the tone for their partnership and Scrooge\'s eventual path."', 'source_id': 'chunk-f1a4fbcf1ed86864b9bfd5e8dba4c683chunk-89777b838d5447c7bd1ec11282c4ee89'}> -2024-10-30 06:44:15,646 - lightrag - INFO - _do_upsert:query: - MERGE (n:`THE FUNERAL`) - SET n += $properties - RETURN n - :result:{'entity_type': '"EVENT"', 'description': '"The Funeral is a context for conversation among characters, reflecting on mortality and social connections surrounding death.""The Funeral is a context for conversation among characters, reflecting on mortality and social connections surrounding death.""The Funeral is a context for conversation among characters, reflecting on mortality and social connections surrounding death.""The Funeral is a context for conversation among characters, reflecting on mortality and social connections surrounding death.""The Funeral is a context for conversation among characters, reflecting on mortality and social connections surrounding death.""The Funeral of Marley is a significant event that highlights Scrooge\'s relationship with Marley and sets the tone for their partnership and Scrooge\'s eventual path.""The Funeral serves as a significant event reflecting on Marley\'s death, noted for its business-like atmosphere as perceived by Scrooge.""The Funeral of Marley is a significant event that highlights Scrooge\'s relationship with Marley and sets the tone for their partnership and Scrooge\'s eventual path.""The Funeral of Marley is a significant event that highlights Scrooge\'s relationship with Marley and sets the tone for their partnership and Scrooge\'s eventual path.""The Funeral of Marley is a significant event that highlights Scrooge\'s relationship with Marley and sets the tone for their partnership and Scrooge\'s eventual path.""The Funeral of Marley is a significant event that highlights Scrooge\'s relationship with Marley and sets the tone for their partnership and Scrooge\'s eventual path."', 'source_id': 'chunk-f1a4fbcf1ed86864b9bfd5e8dba4c683chunk-89777b838d5447c7bd1ec11282c4ee89'} -2024-10-30 06:44:15,775 - lightrag - INFO - get_node:query:MATCH (n:`SCROOGE'S NEPHEW`) RETURN n:result:chunk-74e2466de2f67fd710ef2f20c0a8d9e0chunk-5dac41b3f9eeaf794f0147400b1718cdchunk-43c9bee23adfa77aa9dedd22401bba7dchunk-773d0df1dd25c356f7b771d780583e09'}> -2024-10-30 06:44:15,905 - lightrag - INFO - _do_upsert:query: - MERGE (n:`SCROOGE'S NEPHEW`) - SET n += $properties - RETURN n - :result:{'entity_type': '"PERSON"', 'description': '"Scrooge\'s Nephew is a cheerful and optimistic character who challenges Scrooge\'s gloomy outlook on Christmas and life.""Scrooge\'s Nephew is a jovial character known for his infectious laughter and optimistic attitude towards Christmas, finding humor in Scrooge\'s ill temper and wealth.""Scrooge\'s Nephew is portrayed as warm-hearted and attempts to engage his uncle in the spirit of Christmas, despite Scrooge\'s rebuff.""Scrooge\'s nephew is portrayed as a joyful character who embodies laughter and good-humor, contrasting with Scrooge\'s initial persona."Scrooge\'s Nephew is a cheerful and optimistic character who embodies the spirit of Christmas, consistently challenging his uncle Scrooge\'s gloomy outlook on both Christmas and life. He is characterized by his contagious laughter and good humor, starkly contrasting with Scrooge\'s miserliness and pessimism. This jovial character actively participates in family gatherings, engaging in games and displaying a joyful demeanor. He finds humor in Scrooge\'s ill temper and wealth, often emphasizing the positive qualities of Christmas despite his uncle\'s negativity. Warm-hearted and determined, Scrooge\'s Nephew makes repeated attempts to involve Scrooge in the festive spirit, even in the face of his uncle\'s rebuffs. Overall, he represents a vibrant spirit of joy and laughter, serving as a lively counterpoint to Scrooge\'s initial persona.', 'source_id': 'chunk-43c9bee23adfa77aa9dedd22401bba7dchunk-5dac41b3f9eeaf794f0147400b1718cdchunk-74e2466de2f67fd710ef2f20c0a8d9e0chunk-91614df5cb74cbe5e109a338a82041e9chunk-773d0df1dd25c356f7b771d780583e09'} -2024-10-30 06:44:16,032 - lightrag - INFO - get_node:query:MATCH (n:`COUNTING-HOUSE`) RETURN n:result:"Scrooge\'s counting-house is the place of his work, characterized by coldness and a lack of warmth or holiday spirit.""Scrooge\'s counting-house is the place of his work, characterized by coldness and a lack of warmth or holiday spirit.""Scrooge\'s counting-house is the place of his work, characterized by coldness and a lack of warmth or holiday spirit.""The Counting-House is a physical space representing the business environment where Scrooge and Marley engaged in trade but also symbolizes their limited worldview.""The Counting-house is the place where Scrooge conducted his business and represents the limitations of his previous life.""The Counting-house is the place where Scrooge conducted his business and represents the limitations of his previous life.""The Counting-house is the place where Scrooge conducted his business and represents the limitations of his previous life.""The Counting-house is the place where Scrooge conducted his business and represents the limitations of his previous life."', 'source_id': 'chunk-74e2466de2f67fd710ef2f20c0a8d9e0chunk-359187e7571bda4b0b08b2e0b6581e52'}> -2024-10-30 06:44:16,166 - lightrag - INFO - _do_upsert:query: - MERGE (n:`COUNTING-HOUSE`) - SET n += $properties - RETURN n - :result:{'entity_type': '"LOCATION"', 'description': '"Scrooge\'s counting-house is the place of his work, characterized by coldness and a lack of warmth or holiday spirit.""Scrooge\'s counting-house is the place of his work, characterized by coldness and a lack of warmth or holiday spirit.""Scrooge\'s counting-house is the place of his work, characterized by coldness and a lack of warmth or holiday spirit.""Scrooge\'s counting-house is the place of his work, characterized by coldness and a lack of warmth or holiday spirit.""Scrooge\'s counting-house is the place of his work, characterized by coldness and a lack of warmth or holiday spirit.""The Counting-House is a physical space representing the business environment where Scrooge and Marley engaged in trade but also symbolizes their limited worldview.""The Counting-house is the place where Scrooge conducted his business and represents the limitations of his previous life.""The Counting-house is the place where Scrooge conducted his business and represents the limitations of his previous life.""The Counting-house is the place where Scrooge conducted his business and represents the limitations of his previous life.""The Counting-house is the place where Scrooge conducted his business and represents the limitations of his previous life.""The Counting-house is the place where Scrooge conducted his business and represents the limitations of his previous life."', 'source_id': 'chunk-359187e7571bda4b0b08b2e0b6581e52chunk-74e2466de2f67fd710ef2f20c0a8d9e0'} -2024-10-30 06:44:16,292 - lightrag - INFO - get_node:query:MATCH (n:`BEGGARS`) RETURN n:result: -2024-10-30 06:44:16,422 - lightrag - INFO - _do_upsert:query: - MERGE (n:`BEGGARS`) - SET n += $properties - RETURN n - :result:{'entity_type': '"PERSON"', 'description': '"Beggars are individuals who implore Scrooge for charity, symbolizing the lack of compassion and generosity in his character."', 'source_id': 'chunk-74e2466de2f67fd710ef2f20c0a8d9e0'} -2024-10-30 06:44:16,547 - lightrag - INFO - get_node:query:MATCH (n:`CHILDREN`) RETURN n:result:"Children represent innocence and joy, often seen as seeking affection and connection with adults like Scrooge.""Children represent innocence and joy, often seen as seeking affection and connection with adults like Scrooge.""Children represent innocence and joy, often seen as seeking affection and connection with adults like Scrooge.""The Children represent innocence and purity, highlighted as victims of societal neglect and calling for compassion from Scrooge.""The Children represent the joyful, carefree aspects of Scrooge\'s past, embodying happiness and the innocence of youth that he has long forgotten.""The Children represent innocence and the impact of societal neglect, embodied by Ignorance and Want as personified by the Spirit.""The Children represent innocence and the impact of societal neglect, embodied by Ignorance and Want as personified by the Spirit.""The Children represent innocence and the impact of societal neglect, embodied by Ignorance and Want as personified by the Spirit.""The Children represent innocence and the impact of societal neglect, embodied by Ignorance and Want as personified by the Spirit."', 'source_id': 'chunk-bb21d58d36c6306fd8810ddd51c4a971chunk-74e2466de2f67fd710ef2f20c0a8d9e0chunk-e7637ff18c5ded77a68cce0a87883fad'}> -2024-10-30 06:44:16,676 - lightrag - INFO - _do_upsert:query: - MERGE (n:`CHILDREN`) - SET n += $properties - RETURN n - :result:{'entity_type': '"PERSON"', 'description': '"Children represent innocence and joy, often seen as seeking affection and connection with adults like Scrooge.""Children represent innocence and joy, often seen as seeking affection and connection with adults like Scrooge.""Children represent innocence and joy, often seen as seeking affection and connection with adults like Scrooge.""Children represent innocence and joy, often seen as seeking affection and connection with adults like Scrooge.""Children represent innocence and joy, often seen as seeking affection and connection with adults like Scrooge.""The Children represent innocence and purity, highlighted as victims of societal neglect and calling for compassion from Scrooge.""The Children represent the joyful, carefree aspects of Scrooge\'s past, embodying happiness and the innocence of youth that he has long forgotten.""The Children represent innocence and the impact of societal neglect, embodied by Ignorance and Want as personified by the Spirit.""The Children represent innocence and the impact of societal neglect, embodied by Ignorance and Want as personified by the Spirit.""The Children represent innocence and the impact of societal neglect, embodied by Ignorance and Want as personified by the Spirit.""The Children represent innocence and the impact of societal neglect, embodied by Ignorance and Want as personified by the Spirit.""The Children represent innocence and the impact of societal neglect, embodied by Ignorance and Want as personified by the Spirit."', 'source_id': 'chunk-bb21d58d36c6306fd8810ddd51c4a971chunk-74e2466de2f67fd710ef2f20c0a8d9e0chunk-e7637ff18c5ded77a68cce0a87883fad'} -2024-10-30 06:44:16,806 - lightrag - INFO - get_node:query:MATCH (n:`COLD WEATHER`) RETURN n:result:"Cold Weather sets the bleak and unforgiving atmosphere, reflecting Scrooge’s own personality and state of mind.""Cold Weather sets the bleak and unforgiving atmosphere, reflecting Scrooge’s own personality and state of mind.""Cold Weather sets the bleak and unforgiving atmosphere, reflecting Scrooge’s own personality and state of mind.""Cold Weather sets the bleak and unforgiving atmosphere, reflecting Scrooge’s own personality and state of mind."', 'source_id': 'chunk-f1a4fbcf1ed86864b9bfd5e8dba4c683chunk-74e2466de2f67fd710ef2f20c0a8d9e0'}> -2024-10-30 06:44:16,937 - lightrag - INFO - _do_upsert:query: - MERGE (n:`COLD WEATHER`) - SET n += $properties - RETURN n - :result:{'entity_type': '"GEO"', 'description': '"Cold Weather is noted in the conversation between the businessmen, serving as a backdrop to their trivial interactions.""Cold Weather sets the bleak and unforgiving atmosphere, reflecting Scrooge’s own personality and state of mind.""Cold Weather sets the bleak and unforgiving atmosphere, reflecting Scrooge’s own personality and state of mind.""Cold Weather sets the bleak and unforgiving atmosphere, reflecting Scrooge’s own personality and state of mind.""Cold Weather sets the bleak and unforgiving atmosphere, reflecting Scrooge’s own personality and state of mind.""Cold Weather sets the bleak and unforgiving atmosphere, reflecting Scrooge’s own personality and state of mind."', 'source_id': 'chunk-f1a4fbcf1ed86864b9bfd5e8dba4c683chunk-74e2466de2f67fd710ef2f20c0a8d9e0'} -2024-10-30 06:44:17,064 - lightrag - INFO - get_node:query:MATCH (n:`FOG`) RETURN n:result:"Fog is a weather phenomenon that adds to the bleak atmosphere, reflecting the obscurity and confusion in Scrooge\'s life.""Fog represents the obscured visibility and confusion in Scrooge\'s surroundings, enhancing the atmosphere of uncertainty and apprehension.""Fog represents the obscurity and isolation in the environment, mirroring Scrooge’s emotional distance and isolation from society.""Fog represents the obscured visibility and confusion in Scrooge\'s surroundings, enhancing the atmosphere of uncertainty and apprehension.""Fog represents the obscurity and isolation in the environment, mirroring Scrooge’s emotional distance and isolation from society.""Fog represents the obscured visibility and confusion in Scrooge\'s surroundings, enhancing the atmosphere of uncertainty and apprehension.""Fog represents the obscurity and isolation in the environment, mirroring Scrooge’s emotional distance and isolation from society.""Fog represents the obscured visibility and confusion in Scrooge\'s surroundings, enhancing the atmosphere of uncertainty and apprehension.""Fog represents the obscurity and isolation in the environment, mirroring Scrooge’s emotional distance and isolation from society."', 'source_id': 'chunk-74e2466de2f67fd710ef2f20c0a8d9e0chunk-c7b10789a9cb0af6c553730b29bd9034chunk-d9aac3484185ac66045df92214d245d5'}> -2024-10-30 06:44:17,193 - lightrag - INFO - _do_upsert:query: - MERGE (n:`FOG`) - SET n += $properties - RETURN n - :result:{'entity_type': '"GEO"', 'description': '"Fog is a weather condition mentioned that enhances the dreary atmosphere surrounding Scrooge\'s home and workplace.""Fog is a weather phenomenon that adds to the bleak atmosphere, reflecting the obscurity and confusion in Scrooge\'s life.""Fog represents the obscured visibility and confusion in Scrooge\'s surroundings, enhancing the atmosphere of uncertainty and apprehension.""Fog represents the obscurity and isolation in the environment, mirroring Scrooge’s emotional distance and isolation from society.""Fog represents the obscured visibility and confusion in Scrooge\'s surroundings, enhancing the atmosphere of uncertainty and apprehension.""Fog represents the obscurity and isolation in the environment, mirroring Scrooge’s emotional distance and isolation from society.""Fog represents the obscured visibility and confusion in Scrooge\'s surroundings, enhancing the atmosphere of uncertainty and apprehension.""Fog represents the obscurity and isolation in the environment, mirroring Scrooge’s emotional distance and isolation from society.""Fog represents the obscured visibility and confusion in Scrooge\'s surroundings, enhancing the atmosphere of uncertainty and apprehension.""Fog represents the obscurity and isolation in the environment, mirroring Scrooge’s emotional distance and isolation from society.""Fog represents the obscured visibility and confusion in Scrooge\'s surroundings, enhancing the atmosphere of uncertainty and apprehension.""Fog represents the obscurity and isolation in the environment, mirroring Scrooge’s emotional distance and isolation from society."', 'source_id': 'chunk-c7b10789a9cb0af6c553730b29bd9034chunk-d9aac3484185ac66045df92214d245d5chunk-74e2466de2f67fd710ef2f20c0a8d9e0'} -2024-10-30 06:44:17,320 - lightrag - INFO - get_node:query:MATCH (n:`COURT`) RETURN n:result: -2024-10-30 06:44:17,448 - lightrag - INFO - _do_upsert:query: - MERGE (n:`COURT`) - SET n += $properties - RETURN n - :result:{'entity_type': '"GEO"', 'description': '"The Court is a location described as a space outside Scrooge\'s office where people pass by, emphasizing the contrast between Scrooge\'s inside world and the outside social interactions."', 'source_id': 'chunk-74e2466de2f67fd710ef2f20c0a8d9e0'} -2024-10-30 06:44:17,572 - lightrag - INFO - get_node:query:MATCH (n:`SCROOGE AND MARLEY'S`) RETURN n:result: -2024-10-30 06:44:17,702 - lightrag - INFO - _do_upsert:query: - MERGE (n:`SCROOGE AND MARLEY'S`) - SET n += $properties - RETURN n - :result:{'entity_type': '"ORGANIZATION"', 'description': '"Scrooge and Marley\'s is the name of the business run by Scrooge, signifying a partnership that existed before Marley’s death."', 'source_id': 'chunk-5dac41b3f9eeaf794f0147400b1718cd'} -2024-10-30 06:44:17,826 - lightrag - INFO - get_node:query:MATCH (n:`CLERK`) RETURN n:result:"The Clerk is a minor character who provides a contrast to Scrooge\'s character, expressing warmth and kindness during the holiday season.""The Clerk is a minor character who provides a contrast to Scrooge\'s character, expressing warmth and kindness during the holiday season.""The Clerk is a minor character who provides a contrast to Scrooge\'s character, expressing warmth and kindness during the holiday season.""The Clerk is an unnamed character who serves Scrooge, exhibiting a hopeful disposition despite Scrooge\'s ill-tempered management."', 'source_id': 'chunk-5dac41b3f9eeaf794f0147400b1718cdchunk-d9aac3484185ac66045df92214d245d5'}> -2024-10-30 06:44:17,961 - lightrag - INFO - _do_upsert:query: - MERGE (n:`CLERK`) - SET n += $properties - RETURN n - :result:{'entity_type': '"PERSON"', 'description': '"The Clerk is a minor character who provides a contrast to Scrooge\'s character, expressing warmth and kindness during the holiday season.""The Clerk is a minor character who provides a contrast to Scrooge\'s character, expressing warmth and kindness during the holiday season.""The Clerk is a minor character who provides a contrast to Scrooge\'s character, expressing warmth and kindness during the holiday season.""The Clerk is a minor character who provides a contrast to Scrooge\'s character, expressing warmth and kindness during the holiday season.""The Clerk is a minor character who provides a contrast to Scrooge\'s character, expressing warmth and kindness during the holiday season.""The Clerk is an unnamed character who serves Scrooge, exhibiting a hopeful disposition despite Scrooge\'s ill-tempered management."', 'source_id': 'chunk-d9aac3484185ac66045df92214d245d5chunk-5dac41b3f9eeaf794f0147400b1718cd'} -2024-10-30 06:44:18,090 - lightrag - INFO - get_node:query:MATCH (n:`THE GENTLEMEN`) RETURN n:result: -2024-10-30 06:44:18,222 - lightrag - INFO - _do_upsert:query: - MERGE (n:`THE GENTLEMEN`) - SET n += $properties - RETURN n - :result:{'entity_type': '"ORGANIZATION"', 'description': '"The Gentlemen are portrayed as representatives who arrive at Scrooge\'s office to collect donations for the poor during Christmas."', 'source_id': 'chunk-5dac41b3f9eeaf794f0147400b1718cd'} -2024-10-30 06:44:18,350 - lightrag - INFO - get_node:query:MATCH (n:`POOR AND DESTITUTE`) RETURN n:result: -2024-10-30 06:44:18,479 - lightrag - INFO - _do_upsert:query: - MERGE (n:`POOR AND DESTITUTE`) - SET n += $properties - RETURN n - :result:{'entity_type': '"CONCEPT"', 'description': '"The Poor and Destitute refer to those in need, highlighting the themes of charity and social responsibility that are emphasized during the Christmas season."', 'source_id': 'chunk-5dac41b3f9eeaf794f0147400b1718cd'} -2024-10-30 06:44:18,603 - lightrag - INFO - get_node:query:MATCH (n:`CHRISTMAS-TIME`) RETURN n:result:"Christmas-Time refers to the period surrounding Christmas, laden with connotations of joy, generosity, and family gatherings, which Scrooge vehemently criticizes.""Christmas-Time refers to the period surrounding Christmas, laden with connotations of joy, generosity, and family gatherings, which Scrooge vehemently criticizes.""Christmas-Time refers to the period surrounding Christmas, laden with connotations of joy, generosity, and family gatherings, which Scrooge vehemently criticizes.""Christmas-time is characterized as a period filled with festivities, joy, and community engagement, which Scrooge regards cynically.""Christmas-time represents the festive season, a recurring theme that evokes memories and emotions in Scrooge’s reflections.""Christmas-time serves as a backdrop for the narrative, emphasizing themes of reflection, mortality, and social interactions.""Christmas-time symbolizes a period of joy and reunion, characterized by scenes of celebration and warmth in the story.""Christmas-time symbolizes a period of joy and reunion, characterized by scenes of celebration and warmth in the story.""Christmas-time symbolizes a period of joy and reunion, characterized by scenes of celebration and warmth in the story.""Christmas-time symbolizes a period of joy and reunion, characterized by scenes of celebration and warmth in the story."', 'source_id': 'chunk-f1a4fbcf1ed86864b9bfd5e8dba4c683chunk-5dac41b3f9eeaf794f0147400b1718cdchunk-c6c248858d1b13ab7ee9ca13c1aeed6b'}> -2024-10-30 06:44:18,738 - lightrag - INFO - _do_upsert:query: - MERGE (n:`CHRISTMAS-TIME`) - SET n += $properties - RETURN n - :result:{'entity_type': '"EVENT"', 'description': '"Christmas-Time refers to the period surrounding Christmas, laden with connotations of joy, generosity, and family gatherings, which Scrooge vehemently criticizes.""Christmas-Time refers to the period surrounding Christmas, laden with connotations of joy, generosity, and family gatherings, which Scrooge vehemently criticizes.""Christmas-Time refers to the period surrounding Christmas, laden with connotations of joy, generosity, and family gatherings, which Scrooge vehemently criticizes.""Christmas-Time refers to the period surrounding Christmas, laden with connotations of joy, generosity, and family gatherings, which Scrooge vehemently criticizes.""Christmas-Time refers to the period surrounding Christmas, laden with connotations of joy, generosity, and family gatherings, which Scrooge vehemently criticizes.""Christmas-time is characterized as a period filled with festivities, joy, and community engagement, which Scrooge regards cynically.""Christmas-time represents the festive season, a recurring theme that evokes memories and emotions in Scrooge’s reflections.""Christmas-time serves as a backdrop for the narrative, emphasizing themes of reflection, mortality, and social interactions.""Christmas-time symbolizes a period of joy and reunion, characterized by scenes of celebration and warmth in the story.""Christmas-time symbolizes a period of joy and reunion, characterized by scenes of celebration and warmth in the story.""Christmas-time symbolizes a period of joy and reunion, characterized by scenes of celebration and warmth in the story.""Christmas-time symbolizes a period of joy and reunion, characterized by scenes of celebration and warmth in the story.""Christmas-time symbolizes a period of joy and reunion, characterized by scenes of celebration and warmth in the story."', 'source_id': 'chunk-f1a4fbcf1ed86864b9bfd5e8dba4c683chunk-5dac41b3f9eeaf794f0147400b1718cdchunk-c6c248858d1b13ab7ee9ca13c1aeed6b'} -2024-10-30 06:44:18,871 - lightrag - INFO - get_node:query:MATCH (n:`BEDLAM`) RETURN n:result:"Bedlam is referenced as a metaphorical expression of madness, illustrating Scrooge\'s disdain for cheerful attitudes he finds absurd.""Bedlam is referenced as a metaphorical expression of madness, illustrating Scrooge\'s disdain for cheerful attitudes he finds absurd.""Bedlam is referenced as a metaphorical expression of madness, illustrating Scrooge\'s disdain for cheerful attitudes he finds absurd.""Bedlam is referenced as a metaphorical place for madness, illustrating Scrooge\'s disdain for the cheerful nature of Christmas and his sense of isolation."', 'source_id': 'chunk-5dac41b3f9eeaf794f0147400b1718cd'}> -2024-10-30 06:44:19,003 - lightrag - INFO - _do_upsert:query: - MERGE (n:`BEDLAM`) - SET n += $properties - RETURN n - :result:{'entity_type': '"GEO"', 'description': '"Bedlam is referenced as a metaphorical expression of madness, illustrating Scrooge\'s disdain for cheerful attitudes he finds absurd.""Bedlam is referenced as a metaphorical expression of madness, illustrating Scrooge\'s disdain for cheerful attitudes he finds absurd.""Bedlam is referenced as a metaphorical expression of madness, illustrating Scrooge\'s disdain for cheerful attitudes he finds absurd.""Bedlam is referenced as a metaphorical expression of madness, illustrating Scrooge\'s disdain for cheerful attitudes he finds absurd.""Bedlam is referenced as a metaphorical expression of madness, illustrating Scrooge\'s disdain for cheerful attitudes he finds absurd.""Bedlam is referenced as a metaphorical place for madness, illustrating Scrooge\'s disdain for the cheerful nature of Christmas and his sense of isolation."', 'source_id': 'chunk-5dac41b3f9eeaf794f0147400b1718cd'} -2024-10-30 06:44:19,134 - lightrag - INFO - get_node:query:MATCH (n:`THE GENTLEMAN`) RETURN n:result:"The Gentleman is a character attempting to persuade Scrooge to contribute to charity for the poor during Christmas.""The Gentleman is a character attempting to persuade Scrooge to contribute to charity for the poor during Christmas.""The Gentleman is a character attempting to persuade Scrooge to contribute to charity for the poor during Christmas.""The Gentleman is a character who advocates for helping the poor and trying to raise a fund for those in need during Christmas."', 'source_id': 'chunk-90d5764e301321c087f5a8f78b73a145'}> -2024-10-30 06:44:19,268 - lightrag - INFO - _do_upsert:query: - MERGE (n:`THE GENTLEMAN`) - SET n += $properties - RETURN n - :result:{'entity_type': '"PERSON"', 'description': '"The Gentleman is a character attempting to persuade Scrooge to contribute to charity for the poor during Christmas.""The Gentleman is a character attempting to persuade Scrooge to contribute to charity for the poor during Christmas.""The Gentleman is a character attempting to persuade Scrooge to contribute to charity for the poor during Christmas.""The Gentleman is a character attempting to persuade Scrooge to contribute to charity for the poor during Christmas.""The Gentleman is a character attempting to persuade Scrooge to contribute to charity for the poor during Christmas.""The Gentleman is a character who advocates for helping the poor and trying to raise a fund for those in need during Christmas."', 'source_id': 'chunk-90d5764e301321c087f5a8f78b73a145'} -2024-10-30 06:44:19,397 - lightrag - INFO - get_node:query:MATCH (n:`THE POOR LAW`) RETURN n:result: -2024-10-30 06:44:19,527 - lightrag - INFO - _do_upsert:query: - MERGE (n:`THE POOR LAW`) - SET n += $properties - RETURN n - :result:{'entity_type': '"ORGANIZATION"', 'description': '"The Poor Law refers to a governmental system in place intended to support the impoverished, which Scrooge references to indicate his views on responsibility and charity."', 'source_id': 'chunk-90d5764e301321c087f5a8f78b73a145'} -2024-10-30 06:44:19,653 - lightrag - INFO - get_node:query:MATCH (n:`THE UNION WORKHOUSES`) RETURN n:result:"The Union Workhouses are facilities that provide aid to the poor, still operational as confirmed by the Gentleman during the discussion with Scrooge.""The Union Workhouses are facilities that provide aid to the poor, still operational as confirmed by the Gentleman during the discussion with Scrooge.""The Union Workhouses are facilities that provide aid to the poor, still operational as confirmed by the Gentleman during the discussion with Scrooge.""The Union Workhouses are institutions mentioned as a means of supporting the poor, still operational during Scrooge\'s time."', 'source_id': 'chunk-90d5764e301321c087f5a8f78b73a145'}> -2024-10-30 06:44:19,784 - lightrag - INFO - _do_upsert:query: - MERGE (n:`THE UNION WORKHOUSES`) - SET n += $properties - RETURN n - :result:{'entity_type': '"ORGANIZATION"', 'description': '"The Union Workhouses are facilities that provide aid to the poor, still operational as confirmed by the Gentleman during the discussion with Scrooge.""The Union Workhouses are facilities that provide aid to the poor, still operational as confirmed by the Gentleman during the discussion with Scrooge.""The Union Workhouses are facilities that provide aid to the poor, still operational as confirmed by the Gentleman during the discussion with Scrooge.""The Union Workhouses are facilities that provide aid to the poor, still operational as confirmed by the Gentleman during the discussion with Scrooge.""The Union Workhouses are facilities that provide aid to the poor, still operational as confirmed by the Gentleman during the discussion with Scrooge.""The Union Workhouses are institutions mentioned as a means of supporting the poor, still operational during Scrooge\'s time."', 'source_id': 'chunk-90d5764e301321c087f5a8f78b73a145'} -2024-10-30 06:44:19,913 - lightrag - INFO - get_node:query:MATCH (n:`THE MANSION HOUSE`) RETURN n:result:"The Mansion House is the official residence of the Lord Mayor, where festive preparations for Christmas are being made.""The Mansion House is the official residence of the Lord Mayor, where festive preparations for Christmas are being made.""The Mansion House is the official residence of the Lord Mayor, where festive preparations for Christmas are being made.""The Mansion House is the official residence of the Lord Mayor, where festive preparations for Christmas are being made."', 'source_id': 'chunk-90d5764e301321c087f5a8f78b73a145'}> -2024-10-30 06:44:20,050 - lightrag - INFO - _do_upsert:query: - MERGE (n:`THE MANSION HOUSE`) - SET n += $properties - RETURN n - :result:{'entity_type': '"LOCATION"', 'description': '"The Mansion House is identified as the residence of the Lord Mayor, a place associated with Christmas festivities and order.""The Mansion House is the official residence of the Lord Mayor, where festive preparations for Christmas are being made.""The Mansion House is the official residence of the Lord Mayor, where festive preparations for Christmas are being made.""The Mansion House is the official residence of the Lord Mayor, where festive preparations for Christmas are being made.""The Mansion House is the official residence of the Lord Mayor, where festive preparations for Christmas are being made.""The Mansion House is the official residence of the Lord Mayor, where festive preparations for Christmas are being made."', 'source_id': 'chunk-90d5764e301321c087f5a8f78b73a145'} -2024-10-30 06:44:20,177 - lightrag - INFO - get_node:query:MATCH (n:`THE POOR`) RETURN n:result:"The Poor refer to those individuals in society who face economic hardship and are in need of help, as indicated by their absence from the workhouses and their desperate circumstances during the festive season.""The Poor refer to those individuals in society who face economic hardship and are in need of help, as indicated by their absence from the workhouses and their desperate circumstances during the festive season.""The Poor refer to those individuals in society who face economic hardship and are in need of help, as indicated by their absence from the workhouses and their desperate circumstances during the festive season.""The Poor refers to the individuals in society who are destitute and in need of assistance, often highlighted in discussions about charity during Christmas."', 'source_id': 'chunk-90d5764e301321c087f5a8f78b73a145'}> -2024-10-30 06:44:20,313 - lightrag - INFO - _do_upsert:query: - MERGE (n:`THE POOR`) - SET n += $properties - RETURN n - :result:{'entity_type': '"PERSON"', 'description': '"The Poor refer to those individuals in society who face economic hardship and are in need of help, as indicated by their absence from the workhouses and their desperate circumstances during the festive season.""The Poor refer to those individuals in society who face economic hardship and are in need of help, as indicated by their absence from the workhouses and their desperate circumstances during the festive season.""The Poor refer to those individuals in society who face economic hardship and are in need of help, as indicated by their absence from the workhouses and their desperate circumstances during the festive season.""The Poor refer to those individuals in society who face economic hardship and are in need of help, as indicated by their absence from the workhouses and their desperate circumstances during the festive season.""The Poor refer to those individuals in society who face economic hardship and are in need of help, as indicated by their absence from the workhouses and their desperate circumstances during the festive season.""The Poor refers to the individuals in society who are destitute and in need of assistance, often highlighted in discussions about charity during Christmas."', 'source_id': 'chunk-90d5764e301321c087f5a8f78b73a145'} -2024-10-30 06:44:20,444 - lightrag - INFO - get_node:query:MATCH (n:`SCROOGE'S COUNTING-HOUSE`) RETURN n:result: -2024-10-30 06:44:20,574 - lightrag - INFO - _do_upsert:query: - MERGE (n:`SCROOGE'S COUNTING-HOUSE`) - SET n += $properties - RETURN n - :result:{'entity_type': '"LOCATION"', 'description': '"Scrooge\'s Counting-House is the workspace of Scrooge where he conducts his business, symbolizing his frugality and solitary nature."', 'source_id': 'chunk-90d5764e301321c087f5a8f78b73a145'} -2024-10-30 06:44:20,698 - lightrag - INFO - get_node:query:MATCH (n:`THE LORD MAYOR`) RETURN n:result:"The Lord Mayor oversees the festivities during Christmas at the Mansion House, representing authority and public celebration.""The Lord Mayor oversees the festivities during Christmas at the Mansion House, representing authority and public celebration.""The Lord Mayor oversees the festivities during Christmas at the Mansion House, representing authority and public celebration.""The Lord Mayor oversees the festivities during Christmas at the Mansion House, representing authority and public celebration."', 'source_id': 'chunk-90d5764e301321c087f5a8f78b73a145'}> -2024-10-30 06:44:20,830 - lightrag - INFO - _do_upsert:query: - MERGE (n:`THE LORD MAYOR`) - SET n += $properties - RETURN n - :result:{'entity_type': '"PERSON"', 'description': '"The Lord Mayor is a civic leader responsible for overseeing Christmas festivities and ensuring proper celebrations in the town.""The Lord Mayor oversees the festivities during Christmas at the Mansion House, representing authority and public celebration.""The Lord Mayor oversees the festivities during Christmas at the Mansion House, representing authority and public celebration.""The Lord Mayor oversees the festivities during Christmas at the Mansion House, representing authority and public celebration.""The Lord Mayor oversees the festivities during Christmas at the Mansion House, representing authority and public celebration.""The Lord Mayor oversees the festivities during Christmas at the Mansion House, representing authority and public celebration."', 'source_id': 'chunk-90d5764e301321c087f5a8f78b73a145'} -2024-10-30 06:44:20,960 - lightrag - INFO - get_node:query:MATCH (n:`CHRISTMAS PUDDING`) RETURN n:result:"Christmas Pudding is a dish being prepared for the festive celebration, embodying the spirit of Christmas and family gatherings.""Christmas Pudding is a dish being prepared for the festive celebration, embodying the spirit of Christmas and family gatherings.""Christmas Pudding is a dish being prepared for the festive celebration, embodying the spirit of Christmas and family gatherings.""The Christmas Pudding is a significant dish prepared by Mrs. Cratchit, symbolizing the family\'s festive celebration and unity."', 'source_id': 'chunk-90d5764e301321c087f5a8f78b73a145chunk-503f0bfa5453467c7c61d160a3540eca'}> -2024-10-30 06:44:21,089 - lightrag - INFO - _do_upsert:query: - MERGE (n:`CHRISTMAS PUDDING`) - SET n += $properties - RETURN n - :result:{'entity_type': '"EVENT"', 'description': '"Christmas Pudding is a dish being prepared for the festive celebration, embodying the spirit of Christmas and family gatherings.""Christmas Pudding is a dish being prepared for the festive celebration, embodying the spirit of Christmas and family gatherings.""Christmas Pudding is a dish being prepared for the festive celebration, embodying the spirit of Christmas and family gatherings.""Christmas Pudding is a dish being prepared for the festive celebration, embodying the spirit of Christmas and family gatherings.""Christmas Pudding is a dish being prepared for the festive celebration, embodying the spirit of Christmas and family gatherings.""The Christmas Pudding is a significant dish prepared by Mrs. Cratchit, symbolizing the family\'s festive celebration and unity."', 'source_id': 'chunk-503f0bfa5453467c7c61d160a3540ecachunk-90d5764e301321c087f5a8f78b73a145'} -2024-10-30 06:44:21,218 - lightrag - INFO - get_node:query:MATCH (n:`THE GAS-PIPES`) RETURN n:result:"The Gas-Pipes represent the infrastructure of the city, which signifies the industrial and economic activity during the cold winter season.""The Gas-Pipes represent the infrastructure of the city, which signifies the industrial and economic activity during the cold winter season.""The Gas-Pipes represent the infrastructure of the city, which signifies the industrial and economic activity during the cold winter season.""The Gas-pipes are mentioned as undergoing repairs in The Main Street, indicating the infrastructure\'s role in the community during winter."', 'source_id': 'chunk-90d5764e301321c087f5a8f78b73a145'}> -2024-10-30 06:44:21,349 - lightrag - INFO - _do_upsert:query: - MERGE (n:`THE GAS-PIPES`) - SET n += $properties - RETURN n - :result:{'entity_type': '"ORGANIZATION"', 'description': '"The Gas-Pipes represent the infrastructure of the city, which signifies the industrial and economic activity during the cold winter season.""The Gas-Pipes represent the infrastructure of the city, which signifies the industrial and economic activity during the cold winter season.""The Gas-Pipes represent the infrastructure of the city, which signifies the industrial and economic activity during the cold winter season.""The Gas-Pipes represent the infrastructure of the city, which signifies the industrial and economic activity during the cold winter season.""The Gas-Pipes represent the infrastructure of the city, which signifies the industrial and economic activity during the cold winter season.""The Gas-pipes are mentioned as undergoing repairs in The Main Street, indicating the infrastructure\'s role in the community during winter."', 'source_id': 'chunk-90d5764e301321c087f5a8f78b73a145'} -2024-10-30 06:44:21,480 - lightrag - INFO - get_node:query:MATCH (n:`THE CHURCH`) RETURN n:result:"The Church is a location from where the clock chimes are heard, marking the passage of time and contributing to the atmosphere of the scene.""The Church is a location from where the clock chimes are heard, marking the passage of time and contributing to the atmosphere of the scene.""The Church is a location from where the clock chimes are heard, marking the passage of time and contributing to the atmosphere of the scene.""The Church is a place Scrooge visits, indicating his desire to engage in the Christmas spirit and community.""The Church is a place referenced in the context of the community\'s sentiments toward Christmas and social welfare.""The Church is a place referenced in the context of the community\'s sentiments toward Christmas and social welfare.""The Church is a place referenced in the context of the community\'s sentiments toward Christmas and social welfare.""The Church is a place referenced in the context of the community\'s sentiments toward Christmas and social welfare."', 'source_id': 'chunk-90d5764e301321c087f5a8f78b73a145chunk-8f738cb25d60a7dab782162d9d0a25edchunk-cb661c37436355ccec2769b1d0350c5f'}> -2024-10-30 06:44:21,613 - lightrag - INFO - _do_upsert:query: - MERGE (n:`THE CHURCH`) - SET n += $properties - RETURN n - :result:{'entity_type': '"ORGANIZATION"', 'description': '"The Church is a location from where the clock chimes are heard, marking the passage of time and contributing to the atmosphere of the scene.""The Church is a location from where the clock chimes are heard, marking the passage of time and contributing to the atmosphere of the scene.""The Church is a location from where the clock chimes are heard, marking the passage of time and contributing to the atmosphere of the scene.""The Church is a location from where the clock chimes are heard, marking the passage of time and contributing to the atmosphere of the scene.""The Church is a location from where the clock chimes are heard, marking the passage of time and contributing to the atmosphere of the scene.""The Church is a place Scrooge visits, indicating his desire to engage in the Christmas spirit and community.""The Church is a place referenced in the context of the community\'s sentiments toward Christmas and social welfare.""The Church is a place referenced in the context of the community\'s sentiments toward Christmas and social welfare.""The Church is a place referenced in the context of the community\'s sentiments toward Christmas and social welfare.""The Church is a place referenced in the context of the community\'s sentiments toward Christmas and social welfare.""The Church is a place referenced in the context of the community\'s sentiments toward Christmas and social welfare."', 'source_id': 'chunk-cb661c37436355ccec2769b1d0350c5fchunk-8f738cb25d60a7dab782162d9d0a25edchunk-90d5764e301321c087f5a8f78b73a145'} -2024-10-30 06:44:21,740 - lightrag - INFO - get_node:query:MATCH (n:`THE CRATCHIT FAMILY`) RETURN n:result:"The Cratchit Family consists of Bob, Mrs. Cratchit, Tiny Tim, and their children, characterized by their strong familial bonds and love for one another despite financial struggles.""The Cratchit Family consists of Bob, Mrs. Cratchit, Tiny Tim, and their children, characterized by their strong familial bonds and love for one another despite financial struggles.""The Cratchit Family consists of Bob, Mrs. Cratchit, Tiny Tim, and their children, characterized by their strong familial bonds and love for one another despite financial struggles.""The Cratchit Family consists of Bob, Mrs. Cratchit, and their children, highlighting themes of familial love and support amidst hardship.""The Cratchit Family is a close-knit family depicted in the text, characterized by love and warmth, celebrating Christmas together despite their difficulties.""The Cratchit Family represents a typical struggling family in the text, highlighting the theme of social disparity during Christmas.""The Cratchit Family is a close-knit family depicted in the text, characterized by love and warmth, celebrating Christmas together despite their difficulties.""The Cratchit Family represents a typical struggling family in the text, highlighting the theme of social disparity during Christmas.""The Cratchit Family is a close-knit family depicted in the text, characterized by love and warmth, celebrating Christmas together despite their difficulties.""The Cratchit Family represents a typical struggling family in the text, highlighting the theme of social disparity during Christmas.""The Cratchit Family is a close-knit family depicted in the text, characterized by love and warmth, celebrating Christmas together despite their difficulties.""The Cratchit Family represents a typical struggling family in the text, highlighting the theme of social disparity during Christmas."', 'source_id': 'chunk-90d5764e301321c087f5a8f78b73a145chunk-1d4b58de5429cd1261370c231c8673e8chunk-503f0bfa5453467c7c61d160a3540eca'}> -2024-10-30 06:44:21,877 - lightrag - INFO - _do_upsert:query: - MERGE (n:`THE CRATCHIT FAMILY`) - SET n += $properties - RETURN n - :result:{'entity_type': '"ORGANIZATION"', 'description': '"The Cratchit Family consists of Bob, Mrs. Cratchit, Tiny Tim, and their children, characterized by their strong familial bonds and love for one another despite financial struggles.""The Cratchit Family consists of Bob, Mrs. Cratchit, Tiny Tim, and their children, characterized by their strong familial bonds and love for one another despite financial struggles.""The Cratchit Family consists of Bob, Mrs. Cratchit, Tiny Tim, and their children, characterized by their strong familial bonds and love for one another despite financial struggles.""The Cratchit Family consists of Bob, Mrs. Cratchit, Tiny Tim, and their children, characterized by their strong familial bonds and love for one another despite financial struggles.""The Cratchit Family consists of Bob, Mrs. Cratchit, Tiny Tim, and their children, characterized by their strong familial bonds and love for one another despite financial struggles.""The Cratchit Family consists of Bob, Mrs. Cratchit, and their children, highlighting themes of familial love and support amidst hardship.""The Cratchit Family is a close-knit family depicted in the text, characterized by love and warmth, celebrating Christmas together despite their difficulties.""The Cratchit Family represents a typical struggling family in the text, highlighting the theme of social disparity during Christmas.""The Cratchit Family is a close-knit family depicted in the text, characterized by love and warmth, celebrating Christmas together despite their difficulties.""The Cratchit Family represents a typical struggling family in the text, highlighting the theme of social disparity during Christmas.""The Cratchit Family is a close-knit family depicted in the text, characterized by love and warmth, celebrating Christmas together despite their difficulties.""The Cratchit Family represents a typical struggling family in the text, highlighting the theme of social disparity during Christmas.""The Cratchit Family is a close-knit family depicted in the text, characterized by love and warmth, celebrating Christmas together despite their difficulties.""The Cratchit Family represents a typical struggling family in the text, highlighting the theme of social disparity during Christmas.""The Cratchit Family is a close-knit family depicted in the text, characterized by love and warmth, celebrating Christmas together despite their difficulties.""The Cratchit Family represents a typical struggling family in the text, highlighting the theme of social disparity during Christmas."', 'source_id': 'chunk-503f0bfa5453467c7c61d160a3540ecachunk-90d5764e301321c087f5a8f78b73a145chunk-1d4b58de5429cd1261370c231c8673e8'} -2024-10-30 06:44:22,011 - lightrag - INFO - get_node:query:MATCH (n:`CHRISTMAS EVE`) RETURN n:result:"Christmas Eve is a significant time in the story, marked by celebrations and gatherings led by Fezziwig.""Christmas Eve is a significant time in the story, marked by celebrations and gatherings led by Fezziwig.""Christmas Eve is a significant time in the story, marked by celebrations and gatherings led by Fezziwig.""Christmas Eve is depicted as a significant time, bringing about joyful activities like sliding down snow hills, contrasting with Scrooge\'s dour demeanor.""Christmas Eve is the night before Christmas, serving as the backdrop for the lively celebrations and dances hosted by Fezziwig.""Christmas Eve is the specific time setting in the story, highlighting the contrast between the joy of the holiday and Scrooge\'s negativity.""Christmas Eve is the day prior to Christmas, a time that carries festive significance and anticipation in the narrative.""Christmas Eve is the day prior to Christmas, a time that carries festive significance and anticipation in the narrative.""Christmas Eve is the day prior to Christmas, a time that carries festive significance and anticipation in the narrative.""Christmas Eve is the day prior to Christmas, a time that carries festive significance and anticipation in the narrative."', 'source_id': 'chunk-74e2466de2f67fd710ef2f20c0a8d9e0chunk-d9aac3484185ac66045df92214d245d5chunk-8bc1edd983869352d14cf0886a9175a7'}> -2024-10-30 06:44:22,147 - lightrag - INFO - _do_upsert:query: - MERGE (n:`CHRISTMAS EVE`) - SET n += $properties - RETURN n - :result:{'entity_type': '"EVENT"', 'description': '"Christmas Eve is a significant time in the story, marked by celebrations and gatherings led by Fezziwig.""Christmas Eve is a significant time in the story, marked by celebrations and gatherings led by Fezziwig.""Christmas Eve is a significant time in the story, marked by celebrations and gatherings led by Fezziwig.""Christmas Eve is a significant time in the story, marked by celebrations and gatherings led by Fezziwig.""Christmas Eve is a significant time in the story, marked by celebrations and gatherings led by Fezziwig.""Christmas Eve is depicted as a significant time, bringing about joyful activities like sliding down snow hills, contrasting with Scrooge\'s dour demeanor.""Christmas Eve is the night before Christmas, serving as the backdrop for the lively celebrations and dances hosted by Fezziwig.""Christmas Eve is the specific time setting in the story, highlighting the contrast between the joy of the holiday and Scrooge\'s negativity.""Christmas Eve is the day prior to Christmas, a time that carries festive significance and anticipation in the narrative.""Christmas Eve is the day prior to Christmas, a time that carries festive significance and anticipation in the narrative.""Christmas Eve is the day prior to Christmas, a time that carries festive significance and anticipation in the narrative.""Christmas Eve is the day prior to Christmas, a time that carries festive significance and anticipation in the narrative.""Christmas Eve is the day prior to Christmas, a time that carries festive significance and anticipation in the narrative."', 'source_id': 'chunk-d9aac3484185ac66045df92214d245d5chunk-8bc1edd983869352d14cf0886a9175a7chunk-74e2466de2f67fd710ef2f20c0a8d9e0'} -2024-10-30 06:44:22,277 - lightrag - INFO - get_node:query:MATCH (n:`CAMDEN TOWN`) RETURN n:result:"Camden Town is a location mentioned as Bob Cratchit\'s home, highlighting the setting of his personal life.""Camden Town is a location mentioned as Bob Cratchit\'s home, highlighting the setting of his personal life.""Camden Town is a location mentioned as Bob Cratchit\'s home, highlighting the setting of his personal life.""Camden Town is a location mentioned in relation to the logistics of transporting a large turkey.""Camden Town is a location where Bob Cratchit runs home to celebrate Christmas Eve, representing a more joyful and lively setting.""Camden Town is mentioned as a location related to the transportation of a turkey in a humorous context during the holiday season.""Camden Town is mentioned as a location related to the transportation of a turkey in a humorous context during the holiday season.""Camden Town is mentioned as a location related to the transportation of a turkey in a humorous context during the holiday season.""Camden Town is mentioned as a location related to the transportation of a turkey in a humorous context during the holiday season."', 'source_id': 'chunk-d9aac3484185ac66045df92214d245d5chunk-8f738cb25d60a7dab782162d9d0a25ed'}> -2024-10-30 06:44:22,406 - lightrag - INFO - _do_upsert:query: - MERGE (n:`CAMDEN TOWN`) - SET n += $properties - RETURN n - :result:{'entity_type': '"GEO"', 'description': '"Camden Town is a location mentioned as Bob Cratchit\'s home, highlighting the setting of his personal life.""Camden Town is a location mentioned as Bob Cratchit\'s home, highlighting the setting of his personal life.""Camden Town is a location mentioned as Bob Cratchit\'s home, highlighting the setting of his personal life.""Camden Town is a location mentioned as Bob Cratchit\'s home, highlighting the setting of his personal life.""Camden Town is a location mentioned as Bob Cratchit\'s home, highlighting the setting of his personal life.""Camden Town is a location mentioned in relation to the logistics of transporting a large turkey.""Camden Town is a location where Bob Cratchit runs home to celebrate Christmas Eve, representing a more joyful and lively setting.""Camden Town is mentioned as a location related to the transportation of a turkey in a humorous context during the holiday season.""Camden Town is mentioned as a location related to the transportation of a turkey in a humorous context during the holiday season.""Camden Town is mentioned as a location related to the transportation of a turkey in a humorous context during the holiday season.""Camden Town is mentioned as a location related to the transportation of a turkey in a humorous context during the holiday season.""Camden Town is mentioned as a location related to the transportation of a turkey in a humorous context during the holiday season."', 'source_id': 'chunk-d9aac3484185ac66045df92214d245d5chunk-8f738cb25d60a7dab782162d9d0a25ed'} -2024-10-30 06:44:22,535 - lightrag - INFO - get_node:query:MATCH (n:`THE COUNTING-HOUSE`) RETURN n:result:"The Counting-House is where Scrooge works and is characterized by its cold and unwelcoming environment.""The Counting-House is the place where Scrooge works, reflecting a business environment lacking warmth or joy.""The Counting-House is the place where Scrooge works, reflecting a business environment lacking warmth or joy.""The Counting-House is the place where Scrooge works, reflecting a business environment lacking warmth or joy.""The Counting-House is the place where Scrooge works, reflecting a business environment lacking warmth or joy."', 'source_id': 'chunk-74e2466de2f67fd710ef2f20c0a8d9e0chunk-d9aac3484185ac66045df92214d245d5'}> -2024-10-30 06:44:22,673 - lightrag - INFO - _do_upsert:query: - MERGE (n:`THE COUNTING-HOUSE`) - SET n += $properties - RETURN n - :result:{'entity_type': '"ORGANIZATION"', 'description': '"The Counting-House is Scrooge\'s place of work, characterized by a gloomy demeanor and an atmosphere that reflects Scrooge\'s character.""The Counting-House is where Scrooge works and is characterized by its cold and unwelcoming environment.""The Counting-House is the place where Scrooge works, reflecting a business environment lacking warmth or joy.""The Counting-House is the place where Scrooge works, reflecting a business environment lacking warmth or joy.""The Counting-House is the place where Scrooge works, reflecting a business environment lacking warmth or joy.""The Counting-House is the place where Scrooge works, reflecting a business environment lacking warmth or joy.""The Counting-House is the place where Scrooge works, reflecting a business environment lacking warmth or joy."', 'source_id': 'chunk-d9aac3484185ac66045df92214d245d5chunk-74e2466de2f67fd710ef2f20c0a8d9e0'} -2024-10-30 06:44:22,801 - lightrag - INFO - get_node:query:MATCH (n:`THE KNOCKER`) RETURN n:result:"The Knocker is a feature on Scrooge\'s door, which takes on a mystical quality when Scrooge perceives Marley\'s face in it.""The Knocker is a feature on Scrooge\'s door, which takes on a mystical quality when Scrooge perceives Marley\'s face in it.""The Knocker is a feature on Scrooge\'s door, which takes on a mystical quality when Scrooge perceives Marley\'s face in it.""The Knocker is a physical object that becomes a symbol of Scrooge\'s psyche, transforming into Marley\'s face, representing his guilt and past.""The Knocker is an ornate door knocker that Scrooge admires, reflecting his newfound appreciation for simple joys.""The Knocker on the door serves as a symbolic gateway to the supernatural events, being the first point of eerie interaction for Scrooge.""The Knocker is a physical object that symbolizes Scrooge\'s newfound appreciation for the simple, honest joys of life during Christmas.""The Knocker is a physical object that symbolizes Scrooge\'s newfound appreciation for the simple, honest joys of life during Christmas.""The Knocker is a physical object that symbolizes Scrooge\'s newfound appreciation for the simple, honest joys of life during Christmas.""The Knocker is a physical object that symbolizes Scrooge\'s newfound appreciation for the simple, honest joys of life during Christmas."', 'source_id': 'chunk-9c43dac2fcd5b578242d907ea6f8fc7bchunk-d9aac3484185ac66045df92214d245d5chunk-8f738cb25d60a7dab782162d9d0a25ed'}> -2024-10-30 06:44:22,942 - lightrag - INFO - _do_upsert:query: - MERGE (n:`THE KNOCKER`) - SET n += $properties - RETURN n - :result:{'entity_type': '"ORGANIZATION"', 'description': '"The Knocker is a feature on Scrooge\'s door, which takes on a mystical quality when Scrooge perceives Marley\'s face in it.""The Knocker is a feature on Scrooge\'s door, which takes on a mystical quality when Scrooge perceives Marley\'s face in it.""The Knocker is a feature on Scrooge\'s door, which takes on a mystical quality when Scrooge perceives Marley\'s face in it.""The Knocker is a feature on Scrooge\'s door, which takes on a mystical quality when Scrooge perceives Marley\'s face in it.""The Knocker is a feature on Scrooge\'s door, which takes on a mystical quality when Scrooge perceives Marley\'s face in it.""The Knocker is a physical object that becomes a symbol of Scrooge\'s psyche, transforming into Marley\'s face, representing his guilt and past.""The Knocker is an ornate door knocker that Scrooge admires, reflecting his newfound appreciation for simple joys.""The Knocker on the door serves as a symbolic gateway to the supernatural events, being the first point of eerie interaction for Scrooge.""The Knocker is a physical object that symbolizes Scrooge\'s newfound appreciation for the simple, honest joys of life during Christmas.""The Knocker is a physical object that symbolizes Scrooge\'s newfound appreciation for the simple, honest joys of life during Christmas.""The Knocker is a physical object that symbolizes Scrooge\'s newfound appreciation for the simple, honest joys of life during Christmas.""The Knocker is a physical object that symbolizes Scrooge\'s newfound appreciation for the simple, honest joys of life during Christmas.""The Knocker is a physical object that symbolizes Scrooge\'s newfound appreciation for the simple, honest joys of life during Christmas."', 'source_id': 'chunk-d9aac3484185ac66045df92214d245d5chunk-9c43dac2fcd5b578242d907ea6f8fc7bchunk-8f738cb25d60a7dab782162d9d0a25ed'} -2024-10-30 06:44:23,070 - lightrag - INFO - get_node:query:MATCH (n:`THE COUNTING-HOUSE CLERK`) RETURN n:result: -2024-10-30 06:44:23,200 - lightrag - INFO - _do_upsert:query: - MERGE (n:`THE COUNTING-HOUSE CLERK`) - SET n += $properties - RETURN n - :result:{'entity_type': '"PERSON"', 'description': '"The Counting-House Clerk is an unnamed character who interacts with Scrooge, representing the workforce under Scrooge\'s employment."', 'source_id': 'chunk-d9aac3484185ac66045df92214d245d5'} -2024-10-30 06:44:23,329 - lightrag - INFO - get_node:query:MATCH (n:`THE CANDLE`) RETURN n:result:"The Candle is a source of light that Scrooge lights as he enters his home, symbolizing the struggle against darkness and isolation.""The Candle is a source of light that Scrooge lights as he enters his home, symbolizing the struggle against darkness and isolation.""The Candle is a source of light that Scrooge lights as he enters his home, symbolizing the struggle against darkness and isolation.""The Candle represents a source of light in Scrooge\'s dark life, emphasizing the contrast between warmth and isolation."', 'source_id': 'chunk-9c43dac2fcd5b578242d907ea6f8fc7bchunk-d9aac3484185ac66045df92214d245d5'}> -2024-10-30 06:44:23,457 - lightrag - INFO - _do_upsert:query: - MERGE (n:`THE CANDLE`) - SET n += $properties - RETURN n - :result:{'entity_type': '"TECHNOLOGY"', 'description': '"The Candle is a source of light that Scrooge lights as he enters his home, symbolizing the struggle against darkness and isolation.""The Candle is a source of light that Scrooge lights as he enters his home, symbolizing the struggle against darkness and isolation.""The Candle is a source of light that Scrooge lights as he enters his home, symbolizing the struggle against darkness and isolation.""The Candle is a source of light that Scrooge lights as he enters his home, symbolizing the struggle against darkness and isolation.""The Candle is a source of light that Scrooge lights as he enters his home, symbolizing the struggle against darkness and isolation.""The Candle represents a source of light in Scrooge\'s dark life, emphasizing the contrast between warmth and isolation."', 'source_id': 'chunk-d9aac3484185ac66045df92214d245d5chunk-9c43dac2fcd5b578242d907ea6f8fc7b'} -2024-10-30 06:44:23,584 - lightrag - INFO - get_node:query:MATCH (n:`THE YARD`) RETURN n:result: -2024-10-30 06:44:23,714 - lightrag - INFO - _do_upsert:query: - MERGE (n:`THE YARD`) - SET n += $properties - RETURN n - :result:{'entity_type': '"GEO"', 'description': '"The Yard refers to the dark and gloomy space behind Scrooge\'s residence, creating an atmosphere of loneliness and despair."', 'source_id': 'chunk-d9aac3484185ac66045df92214d245d5'} -2024-10-30 06:44:23,844 - lightrag - INFO - get_node:query:MATCH (n:`THE FOG AND FROST`) RETURN n:result: -2024-10-30 06:44:23,978 - lightrag - INFO - _do_upsert:query: - MERGE (n:`THE FOG AND FROST`) - SET n += $properties - RETURN n - :result:{'entity_type': '"CONCEPT"', 'description': '"The Fog and Frost symbolize the coldness and obscurity surrounding Scrooge\'s life and mindset, enhancing the gloomy atmosphere."', 'source_id': 'chunk-d9aac3484185ac66045df92214d245d5'} -2024-10-30 06:44:24,106 - lightrag - INFO - get_node:query:MATCH (n:`THE GHOST OF MARLEY`) RETURN n:result:"The Ghost of Marley refers to the apparition that appears to Scrooge, serving as a catalyst for his transformation and moral reckoning.""The Ghost of Marley refers to the apparition that appears to Scrooge, serving as a catalyst for his transformation and moral reckoning.""The Ghost of Marley refers to the apparition that appears to Scrooge, serving as a catalyst for his transformation and moral reckoning.""The Ghost of Marley refers to the apparition that appears to Scrooge, serving as a catalyst for his transformation and moral reckoning."', 'source_id': 'chunk-d9aac3484185ac66045df92214d245d5'}> -2024-10-30 06:44:24,238 - lightrag - INFO - _do_upsert:query: - MERGE (n:`THE GHOST OF MARLEY`) - SET n += $properties - RETURN n - :result:{'entity_type': '"EVENT"', 'description': '"The Ghost of Marley is an event that is anticipated in the narrative, representing Scrooge\'s confrontation with his past and the supernatural.""The Ghost of Marley refers to the apparition that appears to Scrooge, serving as a catalyst for his transformation and moral reckoning.""The Ghost of Marley refers to the apparition that appears to Scrooge, serving as a catalyst for his transformation and moral reckoning.""The Ghost of Marley refers to the apparition that appears to Scrooge, serving as a catalyst for his transformation and moral reckoning.""The Ghost of Marley refers to the apparition that appears to Scrooge, serving as a catalyst for his transformation and moral reckoning.""The Ghost of Marley refers to the apparition that appears to Scrooge, serving as a catalyst for his transformation and moral reckoning."', 'source_id': 'chunk-d9aac3484185ac66045df92214d245d5'} -2024-10-30 06:44:24,365 - lightrag - INFO - get_node:query:MATCH (n:`LONDON`) RETURN n:result:"London is the city where the narrative takes place, representing a central location in the story.""London is the city where the narrative takes place, representing a central location in the story.""London is the city where the narrative takes place, representing a central location in the story.""London serves as the general setting for the story, although its specific mention relates to an animal in the context of a game.""London serves as the geographical setting for the story, encapsulating the harsh winter atmosphere and the life of its inhabitants during the festive season.""London serves as the setting where the events take place, adding a cultural backdrop to the Christmas gathering.""London serves as the setting for the story, highlighting the bustling yet isolating environment in which Scrooge lives.""London serves as the general setting for the story, although its specific mention relates to an animal in the context of a game.""London serves as the setting for the story, highlighting the bustling yet isolating environment in which Scrooge lives.""London serves as the general setting for the story, although its specific mention relates to an animal in the context of a game.""London serves as the setting for the story, highlighting the bustling yet isolating environment in which Scrooge lives.""London serves as the general setting for the story, although its specific mention relates to an animal in the context of a game.""London serves as the setting for the story, highlighting the bustling yet isolating environment in which Scrooge lives."', 'source_id': 'chunk-43c9bee23adfa77aa9dedd22401bba7dchunk-e7637ff18c5ded77a68cce0a87883fadchunk-d9aac3484185ac66045df92214d245d5'}> -2024-10-30 06:44:24,497 - lightrag - INFO - _do_upsert:query: - MERGE (n:`LONDON`) - SET n += $properties - RETURN n - :result:{'entity_type': '"GEO"', 'description': '"London is the city where the narrative takes place, representing a central location in the story.""London is the city where the narrative takes place, representing a central location in the story.""London is the city where the narrative takes place, representing a central location in the story.""London is the city where the narrative takes place, representing a central location in the story.""London is the city where the narrative takes place, representing a central location in the story.""London serves as the general setting for the story, although its specific mention relates to an animal in the context of a game.""London serves as the geographical setting for the story, encapsulating the harsh winter atmosphere and the life of its inhabitants during the festive season.""London serves as the setting where the events take place, adding a cultural backdrop to the Christmas gathering.""London serves as the setting for the story, highlighting the bustling yet isolating environment in which Scrooge lives.""London serves as the general setting for the story, although its specific mention relates to an animal in the context of a game.""London serves as the setting for the story, highlighting the bustling yet isolating environment in which Scrooge lives.""London serves as the general setting for the story, although its specific mention relates to an animal in the context of a game.""London serves as the setting for the story, highlighting the bustling yet isolating environment in which Scrooge lives.""London serves as the general setting for the story, although its specific mention relates to an animal in the context of a game.""London serves as the setting for the story, highlighting the bustling yet isolating environment in which Scrooge lives.""London serves as the general setting for the story, although its specific mention relates to an animal in the context of a game.""London serves as the setting for the story, highlighting the bustling yet isolating environment in which Scrooge lives."', 'source_id': 'chunk-d9aac3484185ac66045df92214d245d5chunk-43c9bee23adfa77aa9dedd22401bba7dchunk-e7637ff18c5ded77a68cce0a87883fad'} -2024-10-30 06:44:24,624 - lightrag - INFO - get_node:query:MATCH (n:`THE HOUSE`) RETURN n:result:"The House is the setting for Scrooge\'s encounters, characterized by its darkness, the creaking sounds, and the presence of the ghost.""The House is the setting for Scrooge\'s encounters, characterized by its darkness, the creaking sounds, and the presence of the ghost.""The House is the setting for Scrooge\'s encounters, characterized by its darkness, the creaking sounds, and the presence of the ghost.""The House is the setting for the Christmas celebration and interactions among the characters, embodying warmth and family togetherness.""The House is the setting where Scrooge experiences the haunting, with a description of its features contributing to the eerie atmosphere."', 'source_id': 'chunk-9c43dac2fcd5b578242d907ea6f8fc7bchunk-da2472b4ef2a535b62908f14d0fb0ca9'}> -2024-10-30 06:44:24,755 - lightrag - INFO - _do_upsert:query: - MERGE (n:`THE HOUSE`) - SET n += $properties - RETURN n - :result:{'entity_type': '"GEO"', 'description': '"The House is the setting for Scrooge\'s encounters, characterized by its darkness, the creaking sounds, and the presence of the ghost.""The House is the setting for Scrooge\'s encounters, characterized by its darkness, the creaking sounds, and the presence of the ghost.""The House is the setting for Scrooge\'s encounters, characterized by its darkness, the creaking sounds, and the presence of the ghost.""The House is the setting for Scrooge\'s encounters, characterized by its darkness, the creaking sounds, and the presence of the ghost.""The House is the setting for Scrooge\'s encounters, characterized by its darkness, the creaking sounds, and the presence of the ghost.""The House is the setting for the Christmas celebration and interactions among the characters, embodying warmth and family togetherness.""The House is the setting where Scrooge experiences the haunting, with a description of its features contributing to the eerie atmosphere."', 'source_id': 'chunk-da2472b4ef2a535b62908f14d0fb0ca9chunk-9c43dac2fcd5b578242d907ea6f8fc7b'} -2024-10-30 06:44:24,885 - lightrag - INFO - get_node:query:MATCH (n:`THE GHOST`) RETURN n:result:chunk-cb661c37436355ccec2769b1d0350c5fchunk-8590d9263cd2cd4fa583c432fc54e6c3chunk-1aa50206d02ed89418f65f97c6441d1cchunk-e7637ff18c5ded77a68cce0a87883fadchunk-da2472b4ef2a535b62908f14d0fb0ca9chunk-54bdd22db1f84a965b5f4c06c9216d8dchunk-83ac129dc9b56f84c46760d153d68e93chunk-c7b10789a9cb0af6c553730b29bd9034chunk-359187e7571bda4b0b08b2e0b6581e52chunk-02baee20cc9463dbe08170a8e1043e32chunk-43c9bee23adfa77aa9dedd22401bba7dchunk-c6c248858d1b13ab7ee9ca13c1aeed6b'}> -2024-10-30 06:44:24,887 - lightrag - DEBUG - Trigger summary: "THE GHOST" -2024-10-30 06:44:24,985 - lightrag - INFO - get_node:query:MATCH (n:`THE BELL`) RETURN n:result:"The Bell is described as a disused bell that starts to swing and ring during the haunting, signifying the onset of supernatural occurrences.""The Bell is a disused bell in Scrooge\'s room, which begins to swing and rings out loudly, heralding the appearance of Marley\'s Ghost.""The Bell is a disused bell in Scrooge\'s room, which begins to swing and rings out loudly, heralding the appearance of Marley\'s Ghost.""The Bell is a disused bell in Scrooge\'s room, which begins to swing and rings out loudly, heralding the appearance of Marley\'s Ghost.""The Bell is a disused bell in Scrooge\'s room, which begins to swing and rings out loudly, heralding the appearance of Marley\'s Ghost."', 'source_id': 'chunk-9c43dac2fcd5b578242d907ea6f8fc7bchunk-cb661c37436355ccec2769b1d0350c5f'}> -2024-10-30 06:44:25,116 - lightrag - INFO - _do_upsert:query: - MERGE (n:`THE BELL`) - SET n += $properties - RETURN n - :result:{'entity_type': '"GEO"', 'description': '"The Bell is a church bell that signifies the time passing and marks the moments of Scrooge\'s encounters with the ghosts.""The Bell is described as a disused bell that starts to swing and ring during the haunting, signifying the onset of supernatural occurrences.""The Bell is a disused bell in Scrooge\'s room, which begins to swing and rings out loudly, heralding the appearance of Marley\'s Ghost.""The Bell is a disused bell in Scrooge\'s room, which begins to swing and rings out loudly, heralding the appearance of Marley\'s Ghost.""The Bell is a disused bell in Scrooge\'s room, which begins to swing and rings out loudly, heralding the appearance of Marley\'s Ghost.""The Bell is a disused bell in Scrooge\'s room, which begins to swing and rings out loudly, heralding the appearance of Marley\'s Ghost.""The Bell is a disused bell in Scrooge\'s room, which begins to swing and rings out loudly, heralding the appearance of Marley\'s Ghost."', 'source_id': 'chunk-9c43dac2fcd5b578242d907ea6f8fc7bchunk-cb661c37436355ccec2769b1d0350c5f'} -2024-10-30 06:44:25,247 - lightrag - INFO - get_node:query:MATCH (n:`THE WINE-MERCHANT'S CELLAR`) RETURN n:result:"The Wine-Merchant\'s Cellar is a location within The House where sounds of dragging chains are heard, signifying a haunted presence.""The Wine-Merchant\'s Cellar is a location within The House where sounds of dragging chains are heard, signifying a haunted presence.""The Wine-Merchant\'s Cellar is a location within The House where sounds of dragging chains are heard, signifying a haunted presence.""The Wine-Merchant\'s Cellar is a location within The House where sounds of dragging chains are heard, signifying a haunted presence."', 'source_id': 'chunk-9c43dac2fcd5b578242d907ea6f8fc7b'}> -2024-10-30 06:44:25,379 - lightrag - INFO - _do_upsert:query: - MERGE (n:`THE WINE-MERCHANT'S CELLAR`) - SET n += $properties - RETURN n - :result:{'entity_type': '"GEO"', 'description': '"The Wine-Merchant\'s Cellar is a location that holds significance in the story, where sounds of dragging chains are heard, adding to the ghostly ambiance.""The Wine-Merchant\'s Cellar is a location within The House where sounds of dragging chains are heard, signifying a haunted presence.""The Wine-Merchant\'s Cellar is a location within The House where sounds of dragging chains are heard, signifying a haunted presence.""The Wine-Merchant\'s Cellar is a location within The House where sounds of dragging chains are heard, signifying a haunted presence.""The Wine-Merchant\'s Cellar is a location within The House where sounds of dragging chains are heard, signifying a haunted presence.""The Wine-Merchant\'s Cellar is a location within The House where sounds of dragging chains are heard, signifying a haunted presence."', 'source_id': 'chunk-9c43dac2fcd5b578242d907ea6f8fc7b'} -2024-10-30 06:44:25,507 - lightrag - INFO - get_node:query:MATCH (n:`THE DYING FLAME`) RETURN n:result:"The Dying Flame represents the fear and uncertainty in Scrooge as it reacts to the presence of Marley’s Ghost, adding to the eerie atmosphere.""The Dying Flame represents the fear and uncertainty in Scrooge as it reacts to the presence of Marley’s Ghost, adding to the eerie atmosphere.""The Dying Flame represents the fear and uncertainty in Scrooge as it reacts to the presence of Marley’s Ghost, adding to the eerie atmosphere.""The Dying Flame signifies the waning spirit of Scrooge, momentarily invigorated by the arrival of the ghost as a metaphor for his fading humanity.""The Dying Flame signifies the waning spirit of Scrooge, momentarily invigorated by the arrival of the ghost as a metaphor for his fading humanity.""The Dying Flame signifies the waning spirit of Scrooge, momentarily invigorated by the arrival of the ghost as a metaphor for his fading humanity.""The Dying Flame signifies the waning spirit of Scrooge, momentarily invigorated by the arrival of the ghost as a metaphor for his fading humanity."', 'source_id': 'chunk-9c43dac2fcd5b578242d907ea6f8fc7bchunk-1aa50206d02ed89418f65f97c6441d1c'}> -2024-10-30 06:44:25,634 - lightrag - INFO - _do_upsert:query: - MERGE (n:`THE DYING FLAME`) - SET n += $properties - RETURN n - :result:{'entity_type': '"CONCEPT"', 'description': '"The Dying Flame represents the fear and uncertainty in Scrooge as it reacts to the presence of Marley’s Ghost, adding to the eerie atmosphere.""The Dying Flame represents the fear and uncertainty in Scrooge as it reacts to the presence of Marley’s Ghost, adding to the eerie atmosphere.""The Dying Flame represents the fear and uncertainty in Scrooge as it reacts to the presence of Marley’s Ghost, adding to the eerie atmosphere.""The Dying Flame represents the fear and uncertainty in Scrooge as it reacts to the presence of Marley’s Ghost, adding to the eerie atmosphere.""The Dying Flame represents the fear and uncertainty in Scrooge as it reacts to the presence of Marley’s Ghost, adding to the eerie atmosphere.""The Dying Flame signifies the waning spirit of Scrooge, momentarily invigorated by the arrival of the ghost as a metaphor for his fading humanity.""The Dying Flame signifies the waning spirit of Scrooge, momentarily invigorated by the arrival of the ghost as a metaphor for his fading humanity.""The Dying Flame signifies the waning spirit of Scrooge, momentarily invigorated by the arrival of the ghost as a metaphor for his fading humanity.""The Dying Flame signifies the waning spirit of Scrooge, momentarily invigorated by the arrival of the ghost as a metaphor for his fading humanity.""The Dying Flame signifies the waning spirit of Scrooge, momentarily invigorated by the arrival of the ghost as a metaphor for his fading humanity."', 'source_id': 'chunk-9c43dac2fcd5b578242d907ea6f8fc7bchunk-1aa50206d02ed89418f65f97c6441d1c'} -2024-10-30 06:44:25,762 - lightrag - INFO - get_node:query:MATCH (n:`THE GRATE`) RETURN n:result:"The Grate is a small fire in Scrooge\'s room that provides meager warmth, symbolizing Scrooge\'s cold disposition.""The Grate is a small fire in Scrooge\'s room that provides meager warmth, symbolizing Scrooge\'s cold disposition.""The Grate is a small fire in Scrooge\'s room that provides meager warmth, symbolizing Scrooge\'s cold disposition.""The Grate is part of Scrooge\'s room where a small fire burns, contributing to the bleak and cold atmosphere of his setting."', 'source_id': 'chunk-9c43dac2fcd5b578242d907ea6f8fc7b'}> -2024-10-30 06:44:25,896 - lightrag - INFO - _do_upsert:query: - MERGE (n:`THE GRATE`) - SET n += $properties - RETURN n - :result:{'entity_type': '"GEO"', 'description': '"The Grate is a small fire in Scrooge\'s room that provides meager warmth, symbolizing Scrooge\'s cold disposition.""The Grate is a small fire in Scrooge\'s room that provides meager warmth, symbolizing Scrooge\'s cold disposition.""The Grate is a small fire in Scrooge\'s room that provides meager warmth, symbolizing Scrooge\'s cold disposition.""The Grate is a small fire in Scrooge\'s room that provides meager warmth, symbolizing Scrooge\'s cold disposition.""The Grate is a small fire in Scrooge\'s room that provides meager warmth, symbolizing Scrooge\'s cold disposition.""The Grate is part of Scrooge\'s room where a small fire burns, contributing to the bleak and cold atmosphere of his setting."', 'source_id': 'chunk-9c43dac2fcd5b578242d907ea6f8fc7b'} -2024-10-30 06:44:26,023 - lightrag - INFO - get_node:query:MATCH (n:`SCROOGE'S DRESSING-GOWN`) RETURN n:result: -2024-10-30 06:44:26,158 - lightrag - INFO - _do_upsert:query: - MERGE (n:`SCROOGE'S DRESSING-GOWN`) - SET n += $properties - RETURN n - :result:{'entity_type': '"CONCEPT"', 'description': '"Scrooge\'s Dressing-Gown represents his reluctance to engage with the world outside, emphasizing his isolation and contentment with solitude."', 'source_id': 'chunk-9c43dac2fcd5b578242d907ea6f8fc7b'} -2024-10-30 06:44:26,286 - lightrag - INFO - get_node:query:MATCH (n:`GRUE`) RETURN n:result: -2024-10-30 06:44:26,423 - lightrag - INFO - _do_upsert:query: - MERGE (n:`GRUE`) - SET n += $properties - RETURN n - :result:{'entity_type': '"GEO"', 'description': '"Grue is the small saucepan of gruel prepared by Scrooge, indicating his minimalistic lifestyle and frugality."', 'source_id': 'chunk-9c43dac2fcd5b578242d907ea6f8fc7b'} -2024-10-30 06:44:26,544 - lightrag - INFO - get_node:query:MATCH (n:`THE HEAVY CHAIN`) RETURN n:result: -2024-10-30 06:44:26,674 - lightrag - INFO - _do_upsert:query: - MERGE (n:`THE HEAVY CHAIN`) - SET n += $properties - RETURN n - :result:{'entity_type': '"CONCEPT"', 'description': '"The Heavy Chain is associated with the dragging noise heard by Scrooge, symbolizing the burdens of his past actions."', 'source_id': 'chunk-9c43dac2fcd5b578242d907ea6f8fc7b'} -2024-10-30 06:44:26,799 - lightrag - INFO - get_node:query:MATCH (n:`THE CASK`) RETURN n:result:"The Cask is part of the sounds emerging from the cellar, contributing to the eerie atmosphere surrounding Marley’s Ghost.""The Cask is part of the sounds emerging from the cellar, contributing to the eerie atmosphere surrounding Marley’s Ghost.""The Cask is part of the sounds emerging from the cellar, contributing to the eerie atmosphere surrounding Marley’s Ghost.""The Cask is part of the sounds emerging from the cellar, contributing to the eerie atmosphere surrounding Marley’s Ghost."', 'source_id': 'chunk-9c43dac2fcd5b578242d907ea6f8fc7b'}> -2024-10-30 06:44:26,932 - lightrag - INFO - _do_upsert:query: - MERGE (n:`THE CASK`) - SET n += $properties - RETURN n - :result:{'entity_type': '"GEO"', 'description': '"The Cask is part of the cellar, contributing to the sounds associated with Marley\'s Ghost and aiding in creating a sense of dread.""The Cask is part of the sounds emerging from the cellar, contributing to the eerie atmosphere surrounding Marley’s Ghost.""The Cask is part of the sounds emerging from the cellar, contributing to the eerie atmosphere surrounding Marley’s Ghost.""The Cask is part of the sounds emerging from the cellar, contributing to the eerie atmosphere surrounding Marley’s Ghost.""The Cask is part of the sounds emerging from the cellar, contributing to the eerie atmosphere surrounding Marley’s Ghost.""The Cask is part of the sounds emerging from the cellar, contributing to the eerie atmosphere surrounding Marley’s Ghost."', 'source_id': 'chunk-9c43dac2fcd5b578242d907ea6f8fc7b'} -2024-10-30 06:44:27,060 - lightrag - INFO - get_node:query:MATCH (n:`MARLEY'S GHOST`) RETURN n:result:"Marley\'s Ghost is a spectral figure that represents Scrooge\'s past partner who has returned to convey a message, encapsulating themes of guilt and redemption.""Marley\'s Ghost is a spectral figure that represents Scrooge\'s past partner who has returned to convey a message, encapsulating themes of guilt and redemption.""Marley\'s Ghost is a spectral figure that represents Scrooge\'s past partner who has returned to convey a message, encapsulating themes of guilt and redemption.""Marley\'s Ghost is a spectral figure who appears to Scrooge to warn him of the impending visits from three spirits, representing remorse for his past deeds.""Marley\'s Ghost is a spectral visitation that deeply troubles Scrooge and causes him great perplexity, leading him to question the reality of his experiences.""Marley\'s Ghost represents the supernatural apparition of Marley, who has been dead for seven years and symbolizes regret and warning to Scrooge.""Marley\'s Ghost is an unearthly visitor that appears to Scrooge, causing him to question the nature of reality and dreams.""Marley\'s Ghost is the spectral figure of Jacob Marley, who appears to forewarn Scrooge about his fate and the necessity of change in his life.""Marley\'s Ghost is an unearthly visitor that appears to Scrooge, causing him to question the nature of reality and dreams.""Marley\'s Ghost is the spectral figure of Jacob Marley, who appears to forewarn Scrooge about his fate and the necessity of change in his life.""Marley\'s Ghost is an unearthly visitor that appears to Scrooge, causing him to question the nature of reality and dreams.""Marley\'s Ghost is the spectral figure of Jacob Marley, who appears to forewarn Scrooge about his fate and the necessity of change in his life.""Marley\'s Ghost is an unearthly visitor that appears to Scrooge, causing him to question the nature of reality and dreams.""Marley\'s Ghost is the spectral figure of Jacob Marley, who appears to forewarn Scrooge about his fate and the necessity of change in his life."', 'source_id': 'chunk-1aa50206d02ed89418f65f97c6441d1cchunk-cb661c37436355ccec2769b1d0350c5fchunk-c7b10789a9cb0af6c553730b29bd9034chunk-9c43dac2fcd5b578242d907ea6f8fc7b'}> -2024-10-30 06:44:27,062 - lightrag - DEBUG - Trigger summary: "MARLEY'S GHOST" -2024-10-30 06:44:27,160 - lightrag - INFO - get_node:query:MATCH (n:`JACOB MARLEY`) RETURN n:result:chunk-cb661c37436355ccec2769b1d0350c5fchunk-da2472b4ef2a535b62908f14d0fb0ca9chunk-90b95db5c53e4364a6bee36b7aa4d70fchunk-359187e7571bda4b0b08b2e0b6581e52chunk-02baee20cc9463dbe08170a8e1043e32chunk-91572b3cd42786ba4cb2f180ca25cbf4'}> -2024-10-30 06:44:27,297 - lightrag - INFO - _do_upsert:query: - MERGE (n:`JACOB MARLEY`) - SET n += $properties - RETURN n - :result:{'entity_type': '"PERSON"', 'description': '"Jacob Marley is Scrooge\'s deceased business partner who appears as a ghost, wearing chains that symbolize his past misdeeds and the burden of his regrets.""Jacob Marley is Scrooge\'s deceased partner, who appears in spirit to influence Scrooge\'s journey towards redemption.""Jacob Marley is a spirit who influences Scrooge\'s change of heart, representing a connection to Scrooge\'s past and the theme of redemption.""Jacob Marley is the deceased business partner of Scrooge, whose ghost visits him to convey a message about the importance of charity and kindness.""Jacob Marley is the deceased partner of Scrooge who shows concern for Scrooge\'s fate and the importance of change in his life.""Jacob Marley is the ghost of Scrooge\'s former business partner, who foretells the consequences of Scrooge\'s selfishness and warns him to change his ways.""Jacob Marley is the ghost of Scrooge\'s former partner, who appears to warn Scrooge about his fate and the need for change in his life."Jacob Marley is Scrooge\'s deceased business partner, who appears as a ghost, prominently wearing chains that symbolize the burdens of his past misdeeds and the weight of his regrets. As a spirit, Marley plays a pivotal role in influencing Ebenezer Scrooge\'s journey toward redemption. He visits Scrooge to convey significant messages about the dire consequences of a life devoid of compassion and the critical importance of charity and kindness.\n\nMarley\'s haunting presence serves as a warning to Scrooge about his impending fate if he continues on his selfish and isolated path. He is depicted as showing genuine concern for Scrooge\'s welfare and the necessity for transformative change in his life. Through his visitation, Marley acts as a catalyst, compelling Scrooge to reflect on his past actions and their impact on others. His connection to Scrooge\'s history reinforces the themes of redemption and personal responsibility, emphasizing the potential for transformation and renewal in the face of prior wrongdoings. Ultimately, Jacob Marley\'s spirit not only acts as a reminder of the consequences of one\'s choices but also highlights the possibility of change and growth through self-awareness and connection to humanity.', 'source_id': 'chunk-90b95db5c53e4364a6bee36b7aa4d70fchunk-359187e7571bda4b0b08b2e0b6581e52chunk-da2472b4ef2a535b62908f14d0fb0ca9chunk-02baee20cc9463dbe08170a8e1043e32chunk-1aa50206d02ed89418f65f97c6441d1cchunk-91572b3cd42786ba4cb2f180ca25cbf4chunk-cb661c37436355ccec2769b1d0350c5f'} -2024-10-30 06:44:27,430 - lightrag - INFO - get_node:query:MATCH (n:`THE CHAIN`) RETURN n:result:"The Chain symbolizes the burdens of the past that haunt the spirits, showcasing the consequences of one\'s actions in life.""The Chain represents the burdens of greed and the consequences of one\'s actions, worn by Marley\'s Ghost as a physical manifestation of his regrets.""The Chain represents the burdens of regret and guilt that haunt Marley and serve as a warning to Scrooge about the consequences of a life poorly lived.""The Chain represents the burdens of greed and the consequences of one\'s actions, worn by Marley\'s Ghost as a physical manifestation of his regrets.""The Chain represents the burdens of regret and guilt that haunt Marley and serve as a warning to Scrooge about the consequences of a life poorly lived.""The Chain represents the burdens of greed and the consequences of one\'s actions, worn by Marley\'s Ghost as a physical manifestation of his regrets.""The Chain represents the burdens of regret and guilt that haunt Marley and serve as a warning to Scrooge about the consequences of a life poorly lived.""The Chain represents the burdens of greed and the consequences of one\'s actions, worn by Marley\'s Ghost as a physical manifestation of his regrets.""The Chain represents the burdens of regret and guilt that haunt Marley and serve as a warning to Scrooge about the consequences of a life poorly lived."', 'source_id': 'chunk-1aa50206d02ed89418f65f97c6441d1cchunk-cb661c37436355ccec2769b1d0350c5fchunk-359187e7571bda4b0b08b2e0b6581e52'}> -2024-10-30 06:44:27,558 - lightrag - INFO - _do_upsert:query: - MERGE (n:`THE CHAIN`) - SET n += $properties - RETURN n - :result:{'entity_type': '"CONCEPT"', 'description': '"The Chain refers to the symbolic burden that Marley carries, representing the consequences of his actions and the remorse that traps him in his spectral form.""The Chain symbolizes the burdens of the past that haunt the spirits, showcasing the consequences of one\'s actions in life.""The Chain represents the burdens of greed and the consequences of one\'s actions, worn by Marley\'s Ghost as a physical manifestation of his regrets.""The Chain represents the burdens of regret and guilt that haunt Marley and serve as a warning to Scrooge about the consequences of a life poorly lived.""The Chain represents the burdens of greed and the consequences of one\'s actions, worn by Marley\'s Ghost as a physical manifestation of his regrets.""The Chain represents the burdens of regret and guilt that haunt Marley and serve as a warning to Scrooge about the consequences of a life poorly lived.""The Chain represents the burdens of greed and the consequences of one\'s actions, worn by Marley\'s Ghost as a physical manifestation of his regrets.""The Chain represents the burdens of regret and guilt that haunt Marley and serve as a warning to Scrooge about the consequences of a life poorly lived.""The Chain represents the burdens of greed and the consequences of one\'s actions, worn by Marley\'s Ghost as a physical manifestation of his regrets.""The Chain represents the burdens of regret and guilt that haunt Marley and serve as a warning to Scrooge about the consequences of a life poorly lived.""The Chain represents the burdens of greed and the consequences of one\'s actions, worn by Marley\'s Ghost as a physical manifestation of his regrets.""The Chain represents the burdens of regret and guilt that haunt Marley and serve as a warning to Scrooge about the consequences of a life poorly lived."', 'source_id': 'chunk-359187e7571bda4b0b08b2e0b6581e52chunk-cb661c37436355ccec2769b1d0350c5fchunk-1aa50206d02ed89418f65f97c6441d1c'} -2024-10-30 06:44:27,686 - lightrag - INFO - get_node:query:MATCH (n:`THE HEAVY DOOR`) RETURN n:result:"The Heavy Door symbolizes the threshold between life and death, as well as the barriers between Scrooge and the supernatural world.""The Heavy Door symbolizes the threshold between life and death, as well as the barriers between Scrooge and the supernatural world.""The Heavy Door symbolizes the threshold between life and death, as well as the barriers between Scrooge and the supernatural world.""The heavy door is a physical boundary encountered by Scrooge, marking the transition between the ordinary world and the supernatural visitation."', 'source_id': 'chunk-1aa50206d02ed89418f65f97c6441d1c'}> -2024-10-30 06:44:27,815 - lightrag - INFO - _do_upsert:query: - MERGE (n:`THE HEAVY DOOR`) - SET n += $properties - RETURN n - :result:{'entity_type': '"CONCEPT"', 'description': '"The Heavy Door symbolizes the threshold between life and death, as well as the barriers between Scrooge and the supernatural world.""The Heavy Door symbolizes the threshold between life and death, as well as the barriers between Scrooge and the supernatural world.""The Heavy Door symbolizes the threshold between life and death, as well as the barriers between Scrooge and the supernatural world.""The Heavy Door symbolizes the threshold between life and death, as well as the barriers between Scrooge and the supernatural world.""The Heavy Door symbolizes the threshold between life and death, as well as the barriers between Scrooge and the supernatural world.""The heavy door is a physical boundary encountered by Scrooge, marking the transition between the ordinary world and the supernatural visitation."', 'source_id': 'chunk-1aa50206d02ed89418f65f97c6441d1c'} -2024-10-30 06:44:27,943 - lightrag - INFO - get_node:query:MATCH (n:`THE SPECTRE`) RETURN n:result: -2024-10-30 06:44:28,076 - lightrag - INFO - _do_upsert:query: - MERGE (n:`THE SPECTRE`) - SET n += $properties - RETURN n - :result:{'entity_type': '"CONCEPT"', 'description': '"The Spectre refers to the ghostly presence of Marley that embodies the themes of haunting and reflection on one\'s life choices."', 'source_id': 'chunk-1aa50206d02ed89418f65f97c6441d1c'} -2024-10-30 06:44:28,202 - lightrag - INFO - get_node:query:MATCH (n:`INFERNAL ATMOSPHERE`) RETURN n:result: -2024-10-30 06:44:28,333 - lightrag - INFO - _do_upsert:query: - MERGE (n:`INFERNAL ATMOSPHERE`) - SET n += $properties - RETURN n - :result:{'entity_type': '"CONCEPT"', 'description': '"The Infernal Atmosphere refers to the unsettling environment surrounding Marley\'s Ghost, indicating the discomfort and fear associated with his presence."', 'source_id': 'chunk-1aa50206d02ed89418f65f97c6441d1c'} -2024-10-30 06:44:28,465 - lightrag - INFO - get_node:query:MATCH (n:`THE CHAIR`) RETURN n:result: -2024-10-30 06:44:28,594 - lightrag - INFO - _do_upsert:query: - MERGE (n:`THE CHAIR`) - SET n += $properties - RETURN n - :result:{'entity_type': '"CONCEPT"', 'description': '"The Chair represents the symbol of comfort and safety that Scrooge clings to while facing the terrifying apparition."', 'source_id': 'chunk-1aa50206d02ed89418f65f97c6441d1c'} -2024-10-30 06:44:28,720 - lightrag - INFO - get_node:query:MATCH (n:`THE VISION`) RETURN n:result: -2024-10-30 06:44:28,851 - lightrag - INFO - _do_upsert:query: - MERGE (n:`THE VISION`) - SET n += $properties - RETURN n - :result:{'entity_type': '"CONCEPT"', 'description': '"The Vision refers to the haunting imagery that Scrooge perceives, reflecting his inner turmoil and conflict with reality."', 'source_id': 'chunk-1aa50206d02ed89418f65f97c6441d1c'} -2024-10-30 06:44:28,978 - lightrag - INFO - get_node:query:MATCH (n:`THE BANDAGE`) RETURN n:result:"The Bandage represents the ghost\'s attempt to maintain semblance in his appearance while revealing his true ghostly form.""The Bandage represents the ghost\'s attempt to maintain semblance in his appearance while revealing his true ghostly form.""The Bandage represents the ghost\'s attempt to maintain semblance in his appearance while revealing his true ghostly form.""The bandage is an item used by the ghost, symbolizing decay and the remnants of Marley’s struggle with his own existence post-death."', 'source_id': 'chunk-1aa50206d02ed89418f65f97c6441d1c'}> -2024-10-30 06:44:29,116 - lightrag - INFO - _do_upsert:query: - MERGE (n:`THE BANDAGE`) - SET n += $properties - RETURN n - :result:{'entity_type': '"CONCEPT"', 'description': '"The Bandage represents the ghost\'s attempt to maintain semblance in his appearance while revealing his true ghostly form.""The Bandage represents the ghost\'s attempt to maintain semblance in his appearance while revealing his true ghostly form.""The Bandage represents the ghost\'s attempt to maintain semblance in his appearance while revealing his true ghostly form.""The Bandage represents the ghost\'s attempt to maintain semblance in his appearance while revealing his true ghostly form.""The Bandage represents the ghost\'s attempt to maintain semblance in his appearance while revealing his true ghostly form.""The bandage is an item used by the ghost, symbolizing decay and the remnants of Marley’s struggle with his own existence post-death."', 'source_id': 'chunk-1aa50206d02ed89418f65f97c6441d1c'} -2024-10-30 06:44:29,278 - lightrag - INFO - get_node:query:MATCH (n:`GHOST`) RETURN n:result:"The Ghost refers to the spirit guiding Scrooge, embodying the themes of memory and reflection on the joys of Christmas.""The Ghost represents a spiritual guide that takes Scrooge on a journey to learn important lessons about compassion and humanity.""The Ghost serves as a supernatural guide for Scrooge, prompting him to reflect on his life and choices.""The Ghost is the spirit of Jacob Marley, who expresses remorse for his life and warns Scrooge about the consequences of ignoring his moral duties.""The Ghost is the spirit of Jacob Marley, who expresses remorse for his life and warns Scrooge about the consequences of ignoring his moral duties.""The Ghost is the spirit of Jacob Marley, who expresses remorse for his life and warns Scrooge about the consequences of ignoring his moral duties.""The Ghost is the spirit of Jacob Marley, who expresses remorse for his life and warns Scrooge about the consequences of ignoring his moral duties."', 'source_id': 'chunk-e7637ff18c5ded77a68cce0a87883fadchunk-503f0bfa5453467c7c61d160a3540ecachunk-359187e7571bda4b0b08b2e0b6581e52chunk-43c9bee23adfa77aa9dedd22401bba7dchunk-c6c248858d1b13ab7ee9ca13c1aeed6b'}> -2024-10-30 06:44:29,410 - lightrag - INFO - _do_upsert:query: - MERGE (n:`GHOST`) - SET n += $properties - RETURN n - :result:{'entity_type': '"PERSON"', 'description': '"The Ghost is a supernatural entity that provides guidance and reflection on Scrooge\'s past, representing moral and societal themes.""The Ghost refers to the spirit guiding Scrooge, embodying the themes of memory and reflection on the joys of Christmas.""The Ghost represents a spiritual guide that takes Scrooge on a journey to learn important lessons about compassion and humanity.""The Ghost serves as a supernatural guide for Scrooge, prompting him to reflect on his life and choices.""The Ghost is the spirit of Jacob Marley, who expresses remorse for his life and warns Scrooge about the consequences of ignoring his moral duties.""The Ghost is the spirit of Jacob Marley, who expresses remorse for his life and warns Scrooge about the consequences of ignoring his moral duties.""The Ghost is the spirit of Jacob Marley, who expresses remorse for his life and warns Scrooge about the consequences of ignoring his moral duties.""The Ghost is the spirit of Jacob Marley, who expresses remorse for his life and warns Scrooge about the consequences of ignoring his moral duties.""The Ghost is the spirit of Jacob Marley, who expresses remorse for his life and warns Scrooge about the consequences of ignoring his moral duties."', 'source_id': 'chunk-43c9bee23adfa77aa9dedd22401bba7dchunk-e7637ff18c5ded77a68cce0a87883fadchunk-359187e7571bda4b0b08b2e0b6581e52chunk-c6c248858d1b13ab7ee9ca13c1aeed6bchunk-503f0bfa5453467c7c61d160a3540eca'} -2024-10-30 06:44:29,536 - lightrag - INFO - get_node:query:MATCH (n:`CHRISTMAS EVES`) RETURN n:result:"Christmas Eves refer to the time periods associated with the spirits\' visits, specifically connecting to themes of reflection and redemption during the festive season.""Christmas Eves refer to the time periods associated with the spirits\' visits, specifically connecting to themes of reflection and redemption during the festive season.""Christmas Eves refer to the time periods associated with the spirits\' visits, specifically connecting to themes of reflection and redemption during the festive season.""Christmas Eves refers to the recurring time periods that Marley reflects upon, indicating the weight of his past decisions leading to regret."', 'source_id': 'chunk-359187e7571bda4b0b08b2e0b6581e52'}> -2024-10-30 06:44:29,674 - lightrag - INFO - _do_upsert:query: - MERGE (n:`CHRISTMAS EVES`) - SET n += $properties - RETURN n - :result:{'entity_type': '"EVENT"', 'description': '"Christmas Eves refer to the time periods associated with the spirits\' visits, specifically connecting to themes of reflection and redemption during the festive season.""Christmas Eves refer to the time periods associated with the spirits\' visits, specifically connecting to themes of reflection and redemption during the festive season.""Christmas Eves refer to the time periods associated with the spirits\' visits, specifically connecting to themes of reflection and redemption during the festive season.""Christmas Eves refer to the time periods associated with the spirits\' visits, specifically connecting to themes of reflection and redemption during the festive season.""Christmas Eves refer to the time periods associated with the spirits\' visits, specifically connecting to themes of reflection and redemption during the festive season.""Christmas Eves refers to the recurring time periods that Marley reflects upon, indicating the weight of his past decisions leading to regret."', 'source_id': 'chunk-359187e7571bda4b0b08b2e0b6581e52'} -2024-10-30 06:44:29,803 - lightrag - INFO - get_node:query:MATCH (n:`MANKIND`) RETURN n:result:"Mankind is referenced as a significant concern that should have been the focus of Scrooge\'s life, highlighting the importance of universal compassion and care.""Mankind is referenced as a significant concern that should have been the focus of Scrooge\'s life, highlighting the importance of universal compassion and care.""Mankind is referenced as a significant concern that should have been the focus of Scrooge\'s life, highlighting the importance of universal compassion and care.""Mankind signifies the broader human community, which Marley claims should be the focus of compassionate effort rather than mere business pursuits."', 'source_id': 'chunk-359187e7571bda4b0b08b2e0b6581e52'}> -2024-10-30 06:44:29,939 - lightrag - INFO - _do_upsert:query: - MERGE (n:`MANKIND`) - SET n += $properties - RETURN n - :result:{'entity_type': '"CONCEPT"', 'description': '"Mankind is referenced as a significant concern that should have been the focus of Scrooge\'s life, highlighting the importance of universal compassion and care.""Mankind is referenced as a significant concern that should have been the focus of Scrooge\'s life, highlighting the importance of universal compassion and care.""Mankind is referenced as a significant concern that should have been the focus of Scrooge\'s life, highlighting the importance of universal compassion and care.""Mankind is referenced as a significant concern that should have been the focus of Scrooge\'s life, highlighting the importance of universal compassion and care.""Mankind is referenced as a significant concern that should have been the focus of Scrooge\'s life, highlighting the importance of universal compassion and care.""Mankind signifies the broader human community, which Marley claims should be the focus of compassionate effort rather than mere business pursuits."', 'source_id': 'chunk-359187e7571bda4b0b08b2e0b6581e52'} -2024-10-30 06:44:30,066 - lightrag - INFO - get_node:query:MATCH (n:`ETERNAL CHAIN`) RETURN n:result: -2024-10-30 06:44:30,201 - lightrag - INFO - _do_upsert:query: - MERGE (n:`ETERNAL CHAIN`) - SET n += $properties - RETURN n - :result:{'entity_type': '"CONCEPT"', 'description': '"The Eternal Chain represents the burdens and consequences of one\'s actions in life, symbolizing the weight of regret carried by the Ghost."', 'source_id': 'chunk-359187e7571bda4b0b08b2e0b6581e52'} -2024-10-30 06:44:30,327 - lightrag - INFO - get_node:query:MATCH (n:`STAR`) RETURN n:result: -2024-10-30 06:44:30,464 - lightrag - INFO - _do_upsert:query: - MERGE (n:`STAR`) - SET n += $properties - RETURN n - :result:{'entity_type': '"GEO"', 'description': '"The Star symbolizes guidance and hope, referenced in connection with the Wise Men, representing the potential for enlightenment and moral direction."', 'source_id': 'chunk-359187e7571bda4b0b08b2e0b6581e52'} -2024-10-30 06:44:30,588 - lightrag - INFO - get_node:query:MATCH (n:`WISE MEN`) RETURN n:result: -2024-10-30 06:44:30,718 - lightrag - INFO - _do_upsert:query: - MERGE (n:`WISE MEN`) - SET n += $properties - RETURN n - :result:{'entity_type': '"PERSON"', 'description': '"The Wise Men are figures who followed the Star to bring gifts, embodying the values of recognition and generosity that Scrooge has neglected."', 'source_id': 'chunk-359187e7571bda4b0b08b2e0b6581e52'} -2024-10-30 06:44:30,842 - lightrag - INFO - get_node:query:MATCH (n:`FELLOW-BEINGS`) RETURN n:result: -2024-10-30 06:44:30,976 - lightrag - INFO - _do_upsert:query: - MERGE (n:`FELLOW-BEINGS`) - SET n += $properties - RETURN n - :result:{'entity_type': '"CONCEPT"', 'description': '"Fellow-beings are the people whom Scrooge ignored in life, representing the importance of community and connection."', 'source_id': 'chunk-359187e7571bda4b0b08b2e0b6581e52'} -2024-10-30 06:44:31,101 - lightrag - INFO - get_node:query:MATCH (n:`CHRISTMAS SPIRIT`) RETURN n:result: -2024-10-30 06:44:31,233 - lightrag - INFO - _do_upsert:query: - MERGE (n:`CHRISTMAS SPIRIT`) - SET n += $properties - RETURN n - :result:{'entity_type': '"CONCEPT"', 'description': '"The Christmas Spirit represents the ideals of generosity and kindness associated with the holiday season, which the Ghost encourages Scrooge to embrace."', 'source_id': 'chunk-359187e7571bda4b0b08b2e0b6581e52'} -2024-10-30 06:44:31,361 - lightrag - INFO - get_node:query:MATCH (n:`SPECTRE`) RETURN n:result: -2024-10-30 06:44:31,494 - lightrag - INFO - _do_upsert:query: - MERGE (n:`SPECTRE`) - SET n += $properties - RETURN n - :result:{'entity_type': '"PERSON"', 'description': '"The Spectre is another term for the Ghost, representing a manifestation of guilt and the need for change in Scrooge\'s life."', 'source_id': 'chunk-359187e7571bda4b0b08b2e0b6581e52'} -2024-10-30 06:44:31,619 - lightrag - INFO - get_node:query:MATCH (n:`THE THREE SPIRITS`) RETURN n:result:"The Three Spirits are the apparitions that Jacob Marley warns Scrooge about, who will visit him to guide him toward redemption.""The Three Spirits are the apparitions that Jacob Marley warns Scrooge about, who will visit him to guide him toward redemption.""The Three Spirits are the apparitions that Jacob Marley warns Scrooge about, who will visit him to guide him toward redemption.""The Three Spirits refer to the supernatural beings that are prophesied to visit Scrooge, each representing different aspects of time and morality."', 'source_id': 'chunk-cb661c37436355ccec2769b1d0350c5f'}> -2024-10-30 06:44:31,747 - lightrag - INFO - _do_upsert:query: - MERGE (n:`THE THREE SPIRITS`) - SET n += $properties - RETURN n - :result:{'entity_type': '"EVENT"', 'description': '"The Three Spirits are the apparitions that Jacob Marley warns Scrooge about, who will visit him to guide him toward redemption.""The Three Spirits are the apparitions that Jacob Marley warns Scrooge about, who will visit him to guide him toward redemption.""The Three Spirits are the apparitions that Jacob Marley warns Scrooge about, who will visit him to guide him toward redemption.""The Three Spirits are the apparitions that Jacob Marley warns Scrooge about, who will visit him to guide him toward redemption.""The Three Spirits are the apparitions that Jacob Marley warns Scrooge about, who will visit him to guide him toward redemption.""The Three Spirits refer to the supernatural beings that are prophesied to visit Scrooge, each representing different aspects of time and morality."', 'source_id': 'chunk-cb661c37436355ccec2769b1d0350c5f'} -2024-10-30 06:44:31,890 - lightrag - INFO - get_node:query:MATCH (n:`THE PHANTOM VOICES`) RETURN n:result: -2024-10-30 06:44:32,021 - lightrag - INFO - _do_upsert:query: - MERGE (n:`THE PHANTOM VOICES`) - SET n += $properties - RETURN n - :result:{'entity_type': '"EVENT"', 'description': '"The Phantom Voices refer to the sorrowful sounds of lamentation that Scrooge hears as the apparitions wander, representing lost opportunities and regret."', 'source_id': 'chunk-cb661c37436355ccec2769b1d0350c5f'} -2024-10-30 06:44:32,146 - lightrag - INFO - get_node:query:MATCH (n:`THE WINDOW`) RETURN n:result:"The Window is a physical presence in Scrooge\'s chamber that he approaches to observe the supernatural occurrences outside.""The Window is a physical presence in Scrooge\'s chamber that he approaches to observe the supernatural occurrences outside.""The Window is a physical presence in Scrooge\'s chamber that he approaches to observe the supernatural occurrences outside.""The Window represents a threshold between the visible and invisible worlds, allowing Scrooge a view into the realm of spirits and their lamentations."', 'source_id': 'chunk-cb661c37436355ccec2769b1d0350c5f'}> -2024-10-30 06:44:32,279 - lightrag - INFO - _do_upsert:query: - MERGE (n:`THE WINDOW`) - SET n += $properties - RETURN n - :result:{'entity_type': '"GEO"', 'description': '"The Window is a physical presence in Scrooge\'s chamber that he approaches to observe the supernatural occurrences outside.""The Window is a physical presence in Scrooge\'s chamber that he approaches to observe the supernatural occurrences outside.""The Window is a physical presence in Scrooge\'s chamber that he approaches to observe the supernatural occurrences outside.""The Window is a physical presence in Scrooge\'s chamber that he approaches to observe the supernatural occurrences outside.""The Window is a physical presence in Scrooge\'s chamber that he approaches to observe the supernatural occurrences outside.""The Window represents a threshold between the visible and invisible worlds, allowing Scrooge a view into the realm of spirits and their lamentations."', 'source_id': 'chunk-cb661c37436355ccec2769b1d0350c5f'} -2024-10-30 06:44:32,414 - lightrag - INFO - get_node:query:MATCH (n:`THE CLOCK`) RETURN n:result:"The Clock is mentioned as malfunctioning, which symbolizes the confusion and distortion of time that Scrooge experiences during his nighttime visitations.""The Clock serves as a symbol of time passing, reflecting Scrooge\'s disorientation regarding time as he transitions between reality and the supernatural.""The Clock signifies the passage of time during the Domestic Ball and plays a role in marking the end of the celebration.""The Clock serves as a symbol of time passing, reflecting Scrooge\'s disorientation regarding time as he transitions between reality and the supernatural.""The Clock signifies the passage of time during the Domestic Ball and plays a role in marking the end of the celebration.""The Clock serves as a symbol of time passing, reflecting Scrooge\'s disorientation regarding time as he transitions between reality and the supernatural.""The Clock signifies the passage of time during the Domestic Ball and plays a role in marking the end of the celebration.""The Clock serves as a symbol of time passing, reflecting Scrooge\'s disorientation regarding time as he transitions between reality and the supernatural.""The Clock signifies the passage of time during the Domestic Ball and plays a role in marking the end of the celebration."', 'source_id': 'chunk-cb661c37436355ccec2769b1d0350c5fchunk-c7b10789a9cb0af6c553730b29bd9034chunk-b2f98bc7abb0c67d4c86055c7fd72218'}> -2024-10-30 06:44:32,546 - lightrag - INFO - _do_upsert:query: - MERGE (n:`THE CLOCK`) - SET n += $properties - RETURN n - :result:{'entity_type': '"GEO"', 'description': '"The Clock is a device that malfunctions, contributing to Scrooge\'s confusion about time and reality in the narrative.""The Clock is mentioned as malfunctioning, which symbolizes the confusion and distortion of time that Scrooge experiences during his nighttime visitations.""The Clock serves as a symbol of time passing, reflecting Scrooge\'s disorientation regarding time as he transitions between reality and the supernatural.""The Clock signifies the passage of time during the Domestic Ball and plays a role in marking the end of the celebration.""The Clock serves as a symbol of time passing, reflecting Scrooge\'s disorientation regarding time as he transitions between reality and the supernatural.""The Clock signifies the passage of time during the Domestic Ball and plays a role in marking the end of the celebration.""The Clock serves as a symbol of time passing, reflecting Scrooge\'s disorientation regarding time as he transitions between reality and the supernatural.""The Clock signifies the passage of time during the Domestic Ball and plays a role in marking the end of the celebration.""The Clock serves as a symbol of time passing, reflecting Scrooge\'s disorientation regarding time as he transitions between reality and the supernatural.""The Clock signifies the passage of time during the Domestic Ball and plays a role in marking the end of the celebration.""The Clock serves as a symbol of time passing, reflecting Scrooge\'s disorientation regarding time as he transitions between reality and the supernatural.""The Clock signifies the passage of time during the Domestic Ball and plays a role in marking the end of the celebration."', 'source_id': 'chunk-c7b10789a9cb0af6c553730b29bd9034chunk-b2f98bc7abb0c67d4c86055c7fd72218chunk-cb661c37436355ccec2769b1d0350c5f'} -2024-10-30 06:44:32,674 - lightrag - INFO - get_node:query:MATCH (n:`THE DARKNESS`) RETURN n:result:"The Darkness symbolizes the confusion and the unknown that envelops Scrooge as he faces the reality of his past, present, and future.""The Darkness symbolizes the confusion and the unknown that envelops Scrooge as he faces the reality of his past, present, and future.""The Darkness symbolizes the confusion and the unknown that envelops Scrooge as he faces the reality of his past, present, and future.""The Darkness symbolizes the confusion and the unknown that envelops Scrooge as he faces the reality of his past, present, and future."', 'source_id': 'chunk-cb661c37436355ccec2769b1d0350c5f'}> -2024-10-30 06:44:32,806 - lightrag - INFO - _do_upsert:query: - MERGE (n:`THE DARKNESS`) - SET n += $properties - RETURN n - :result:{'entity_type': '"CONCEPT"', 'description': '"The Darkness refers to the absence of light, signifying uncertainty and fear in Scrooge\'s transformation journey.""The Darkness symbolizes the confusion and the unknown that envelops Scrooge as he faces the reality of his past, present, and future.""The Darkness symbolizes the confusion and the unknown that envelops Scrooge as he faces the reality of his past, present, and future.""The Darkness symbolizes the confusion and the unknown that envelops Scrooge as he faces the reality of his past, present, and future.""The Darkness symbolizes the confusion and the unknown that envelops Scrooge as he faces the reality of his past, present, and future.""The Darkness symbolizes the confusion and the unknown that envelops Scrooge as he faces the reality of his past, present, and future."', 'source_id': 'chunk-cb661c37436355ccec2769b1d0350c5f'} -2024-10-30 06:44:32,934 - lightrag - INFO - get_node:query:MATCH (n:`CLOCK`) RETURN n:result: -2024-10-30 06:44:33,061 - lightrag - INFO - _do_upsert:query: - MERGE (n:`CLOCK`) - SET n += $properties - RETURN n - :result:{'entity_type': '"ORGANIZATION"', 'description': '"The Clock symbolizes the passage of time and plays a pivotal role in establishing the moments of Scrooge\'s experience with the Ghost."', 'source_id': 'chunk-c7b10789a9cb0af6c553730b29bd9034'} -2024-10-30 06:44:33,187 - lightrag - INFO - get_node:query:MATCH (n:`HOLLY`) RETURN n:result:"Holly is a plant associated with Christmas, mentioned among other decorations that contribute to the festive atmosphere.""Holly is a symbol held by The Ghost, representing peace and goodwill, contrasting with the cold wintry atmosphere around Scrooge.""Holly is mentioned as part of the traditional decorations associated with Christmas, symbolizing festivity.""Holly represents a traditional decoration associated with Christmas, symbolizing festivity and the presence of the Christmas spirit.""Holly is a symbol held by The Ghost, representing peace and goodwill, contrasting with the cold wintry atmosphere around Scrooge.""Holly is mentioned as part of the traditional decorations associated with Christmas, symbolizing festivity.""Holly represents a traditional decoration associated with Christmas, symbolizing festivity and the presence of the Christmas spirit.""Holly is a symbol held by The Ghost, representing peace and goodwill, contrasting with the cold wintry atmosphere around Scrooge.""Holly is mentioned as part of the traditional decorations associated with Christmas, symbolizing festivity.""Holly represents a traditional decoration associated with Christmas, symbolizing festivity and the presence of the Christmas spirit.""Holly is a symbol held by The Ghost, representing peace and goodwill, contrasting with the cold wintry atmosphere around Scrooge.""Holly is mentioned as part of the traditional decorations associated with Christmas, symbolizing festivity.""Holly represents a traditional decoration associated with Christmas, symbolizing festivity and the presence of the Christmas spirit."', 'source_id': 'chunk-843b5b2f944c7413d9ca876e2e2f151fchunk-c7b10789a9cb0af6c553730b29bd9034chunk-99b0ec7f7e006561352b5d65e849611d'}> -2024-10-30 06:44:33,328 - lightrag - INFO - _do_upsert:query: - MERGE (n:`HOLLY`) - SET n += $properties - RETURN n - :result:{'entity_type': '"ORGANIZATION"', 'description': '"Holly is a plant associated with Christmas, featured prominently in the Spirit\'s attire, symbolizing joy and celebration during the festive season.""Holly is a plant associated with Christmas, mentioned among other decorations that contribute to the festive atmosphere.""Holly is a symbol held by The Ghost, representing peace and goodwill, contrasting with the cold wintry atmosphere around Scrooge.""Holly is mentioned as part of the traditional decorations associated with Christmas, symbolizing festivity.""Holly represents a traditional decoration associated with Christmas, symbolizing festivity and the presence of the Christmas spirit.""Holly is a symbol held by The Ghost, representing peace and goodwill, contrasting with the cold wintry atmosphere around Scrooge.""Holly is mentioned as part of the traditional decorations associated with Christmas, symbolizing festivity.""Holly represents a traditional decoration associated with Christmas, symbolizing festivity and the presence of the Christmas spirit.""Holly is a symbol held by The Ghost, representing peace and goodwill, contrasting with the cold wintry atmosphere around Scrooge.""Holly is mentioned as part of the traditional decorations associated with Christmas, symbolizing festivity.""Holly represents a traditional decoration associated with Christmas, symbolizing festivity and the presence of the Christmas spirit.""Holly is a symbol held by The Ghost, representing peace and goodwill, contrasting with the cold wintry atmosphere around Scrooge.""Holly is mentioned as part of the traditional decorations associated with Christmas, symbolizing festivity.""Holly represents a traditional decoration associated with Christmas, symbolizing festivity and the presence of the Christmas spirit.""Holly is a symbol held by The Ghost, representing peace and goodwill, contrasting with the cold wintry atmosphere around Scrooge.""Holly is mentioned as part of the traditional decorations associated with Christmas, symbolizing festivity.""Holly represents a traditional decoration associated with Christmas, symbolizing festivity and the presence of the Christmas spirit."', 'source_id': 'chunk-c7b10789a9cb0af6c553730b29bd9034chunk-99b0ec7f7e006561352b5d65e849611dchunk-843b5b2f944c7413d9ca876e2e2f151f'} -2024-10-30 06:44:33,465 - lightrag - INFO - get_node:query:MATCH (n:`LIGHT`) RETURN n:result:"Light is a prominent feature associated with The Ghost, symbolizing knowledge and revelation, illuminating the darkness of Scrooge\'s ignorance.""Light is a prominent feature associated with The Ghost, symbolizing knowledge and revelation, illuminating the darkness of Scrooge\'s ignorance.""Light is a prominent feature associated with The Ghost, symbolizing knowledge and revelation, illuminating the darkness of Scrooge\'s ignorance.""Light is a prominent feature associated with The Ghost, symbolizing knowledge and revelation, illuminating the darkness of Scrooge\'s ignorance."', 'source_id': 'chunk-c7b10789a9cb0af6c553730b29bd9034'}> -2024-10-30 06:44:33,594 - lightrag - INFO - _do_upsert:query: - MERGE (n:`LIGHT`) - SET n += $properties - RETURN n - :result:{'entity_type': '"CONCEPT"', 'description': '"Light emanates from The Visitor, symbolizing clarity, revelation, and the supernatural, contrasting with the darkness around Scrooge\'s situation.""Light is a prominent feature associated with The Ghost, symbolizing knowledge and revelation, illuminating the darkness of Scrooge\'s ignorance.""Light is a prominent feature associated with The Ghost, symbolizing knowledge and revelation, illuminating the darkness of Scrooge\'s ignorance.""Light is a prominent feature associated with The Ghost, symbolizing knowledge and revelation, illuminating the darkness of Scrooge\'s ignorance.""Light is a prominent feature associated with The Ghost, symbolizing knowledge and revelation, illuminating the darkness of Scrooge\'s ignorance.""Light is a prominent feature associated with The Ghost, symbolizing knowledge and revelation, illuminating the darkness of Scrooge\'s ignorance."', 'source_id': 'chunk-c7b10789a9cb0af6c553730b29bd9034'} -2024-10-30 06:44:33,722 - lightrag - INFO - get_node:query:MATCH (n:`WINTER`) RETURN n:result: -2024-10-30 06:44:33,851 - lightrag - INFO - _do_upsert:query: - MERGE (n:`WINTER`) - SET n += $properties - RETURN n - :result:{'entity_type': '"GEO"', 'description': '"Winter represents the cold and bleak environment that surrounds Scrooge during his nighttime encounters with the supernatural."', 'source_id': 'chunk-c7b10789a9cb0af6c553730b29bd9034'} -2024-10-30 06:44:33,980 - lightrag - INFO - get_node:query:MATCH (n:`THE DRESSING-GOWN`) RETURN n:result:"The Dressing-Gown is worn by Scrooge, symbolizing his state of vulnerability and introspection as he grapples with profound ideas in the narrative.""The Dressing-Gown is worn by Scrooge, symbolizing his state of vulnerability and introspection as he grapples with profound ideas in the narrative.""The Dressing-Gown is worn by Scrooge, symbolizing his state of vulnerability and introspection as he grapples with profound ideas in the narrative.""The Dressing-Gown is worn by Scrooge, symbolizing his state of vulnerability and introspection as he grapples with profound ideas in the narrative."', 'source_id': 'chunk-9c43dac2fcd5b578242d907ea6f8fc7bchunk-c7b10789a9cb0af6c553730b29bd9034'}> -2024-10-30 06:44:34,110 - lightrag - INFO - _do_upsert:query: - MERGE (n:`THE DRESSING-GOWN`) - SET n += $properties - RETURN n - :result:{'entity_type': '"ORGANIZATION"', 'description': '"The Dressing-Gown is worn by Scrooge, illustrating his solitary, night-time routine and emphasizing his isolation.""The Dressing-Gown is worn by Scrooge, symbolizing his state of vulnerability and introspection as he grapples with profound ideas in the narrative.""The Dressing-Gown is worn by Scrooge, symbolizing his state of vulnerability and introspection as he grapples with profound ideas in the narrative.""The Dressing-Gown is worn by Scrooge, symbolizing his state of vulnerability and introspection as he grapples with profound ideas in the narrative.""The Dressing-Gown is worn by Scrooge, symbolizing his state of vulnerability and introspection as he grapples with profound ideas in the narrative.""The Dressing-Gown is worn by Scrooge, symbolizing his state of vulnerability and introspection as he grapples with profound ideas in the narrative."', 'source_id': 'chunk-c7b10789a9cb0af6c553730b29bd9034chunk-9c43dac2fcd5b578242d907ea6f8fc7b'} -2024-10-30 06:44:34,239 - lightrag - INFO - get_node:query:MATCH (n:`TUNIC`) RETURN n:result: -2024-10-30 06:44:34,370 - lightrag - INFO - _do_upsert:query: - MERGE (n:`TUNIC`) - SET n += $properties - RETURN n - :result:{'entity_type': '"CONCEPT"', 'description': '"The Tunic is part of The Ghost\'s attire, signifying purity and heavenly qualities in contrast to Scrooge\'s current state."', 'source_id': 'chunk-c7b10789a9cb0af6c553730b29bd9034'} -2024-10-30 06:44:34,499 - lightrag - INFO - get_node:query:MATCH (n:`BELL`) RETURN n:result: -2024-10-30 06:44:34,631 - lightrag - INFO - _do_upsert:query: - MERGE (n:`BELL`) - SET n += $properties - RETURN n - :result:{'entity_type': '"EVENT"', 'description': '"The Bell signifies the passage of time and is crucial in alerting Scrooge to the hour of visitation by The Ghost."', 'source_id': 'chunk-c7b10789a9cb0af6c553730b29bd9034'} -2024-10-30 06:44:34,754 - lightrag - INFO - get_node:query:MATCH (n:`CLOCK'S STRIKE`) RETURN n:result: -2024-10-30 06:44:34,885 - lightrag - INFO - _do_upsert:query: - MERGE (n:`CLOCK'S STRIKE`) - SET n += $properties - RETURN n - :result:{'entity_type': '"EVENT"', 'description': '"The Clock\'s Strike is an event marking significant moments throughout the narrative, emphasizing the theme of time."', 'source_id': 'chunk-c7b10789a9cb0af6c553730b29bd9034'} -2024-10-30 06:44:35,011 - lightrag - INFO - get_node:query:MATCH (n:`DREAM`) RETURN n:result:"Dream refers to Scrooge\'s mental conflict regarding whether the spectral encounters are real or figments of his imagination.""Dream refers to Scrooge\'s mental conflict regarding whether the spectral encounters are real or figments of his imagination.""Dream refers to Scrooge\'s mental conflict regarding whether the spectral encounters are real or figments of his imagination.""Dream refers to the possibility that Scrooge\'s experiences are a figment of his imagination, reflecting his internal struggle with reality and perception."', 'source_id': 'chunk-c7b10789a9cb0af6c553730b29bd9034'}> -2024-10-30 06:44:35,148 - lightrag - INFO - _do_upsert:query: - MERGE (n:`DREAM`) - SET n += $properties - RETURN n - :result:{'entity_type': '"CONCEPT"', 'description': '"Dream refers to Scrooge\'s mental conflict regarding whether the spectral encounters are real or figments of his imagination.""Dream refers to Scrooge\'s mental conflict regarding whether the spectral encounters are real or figments of his imagination.""Dream refers to Scrooge\'s mental conflict regarding whether the spectral encounters are real or figments of his imagination.""Dream refers to Scrooge\'s mental conflict regarding whether the spectral encounters are real or figments of his imagination.""Dream refers to Scrooge\'s mental conflict regarding whether the spectral encounters are real or figments of his imagination.""Dream refers to the possibility that Scrooge\'s experiences are a figment of his imagination, reflecting his internal struggle with reality and perception."', 'source_id': 'chunk-c7b10789a9cb0af6c553730b29bd9034'} -2024-10-30 06:44:35,276 - lightrag - INFO - get_node:query:MATCH (n:`DING DONG`) RETURN n:result: -2024-10-30 06:44:35,407 - lightrag - INFO - _do_upsert:query: - MERGE (n:`DING DONG`) - SET n += $properties - RETURN n - :result:{'entity_type': '"EVENT"', 'description': '"Ding Dong represents the sound of the clock chimes, anchoring the reader in time and emphasizing the moments of realization for Scrooge."', 'source_id': 'chunk-c7b10789a9cb0af6c553730b29bd9034'} -2024-10-30 06:44:35,537 - lightrag - INFO - get_node:query:MATCH (n:`TIME`) RETURN n:result: -2024-10-30 06:44:35,666 - lightrag - INFO - _do_upsert:query: - MERGE (n:`TIME`) - SET n += $properties - RETURN n - :result:{'entity_type': '"CONCEPT"', 'description': '"Time is a central theme, with characters reflecting on its passage and significance in relation to life and revelations."', 'source_id': 'chunk-c7b10789a9cb0af6c553730b29bd9034'} -2024-10-30 06:44:35,792 - lightrag - INFO - get_node:query:MATCH (n:`THE SPIRIT`) RETURN n:result:"The Spirit is portrayed as a phantom guiding Scrooge, representing the moral and existential queries of his life.""The Spirit refers to a ghostly figure guiding Scrooge through his memories, playing a vital role in his transformation.""The Spirit refers to the Ghost of Christmas Present, who observes and interacts with the gathering, influencing Scrooge\'s emotional journey.""The Spirit refers to the ghostly apparitions that guide Scrooge through his reflections on life, past, present, and future.""The Spirit refers to the moral lesson embodied by the Ghost that visits Scrooge, emphasizing compassion and the value of life.""The Spirit represents a guiding force encouraging Scrooge to introspect on his past and recognize the value of happiness.""The Spirit represents a supernatural presence that influences the mood of Christmas, promoting generosity and mirth during the holiday season.""The Spirit represents the collective essence of the Christmas spirits, signifying guidance, memory, and influence over personal transformation.""The Spirit serves as a guiding force in the narrative, helping Scrooge understand his history and the impact of his actions.""The Spirit" is a multifaceted supernatural entity guiding Ebenezer Scrooge through a transformative journey during the Christmas season. It is portrayed as a ghostly figure, encompassing the Ghost of Christmas Present and the Ghost of Christmas Past, and serves to illuminate various themes including joy, generosity, and moral introspection. Throughout the narrative, The Spirit influences Scrooge\'s emotional journey, encouraging him to reflect on his past and understand the consequences of his actions.\n\nAs a guiding force, The Spirit prompts Scrooge to engage deeply with his memories, helping him realize the value of happiness and the importance of compassion and community in life. It plays a critical role in shaping the atmosphere of Christmas, promoting an environment filled with cheer and mirth as it leads Scrooge through moments of reflection and revelry. \n\nBy embodying the collective essence of the Christmas spirits, The Spirit acts as a moral compass for Scrooge, pushing him towards meaningful change and a reevaluation of his life choices. Ultimately, The Spirit serves as both a supernatural guide and an emotional influence, signifying the profound impact of reflection, memory, and personal transformation during the holiday season.', 'source_id': 'chunk-8590d9263cd2cd4fa583c432fc54e6c3chunk-b0f459f5af1c3a5e0b92cbe4ee48b77bchunk-da2472b4ef2a535b62908f14d0fb0ca9chunk-e1f29eeadc1d8ab46dc8a0bbd3c56b64chunk-91614df5cb74cbe5e109a338a82041e9chunk-503f0bfa5453467c7c61d160a3540ecachunk-19d72c57ae3408758b18d2568e86dc6bchunk-91572b3cd42786ba4cb2f180ca25cbf4chunk-bb21d58d36c6306fd8810ddd51c4a971chunk-f1a4fbcf1ed86864b9bfd5e8dba4c683chunk-43c9bee23adfa77aa9dedd22401bba7dchunk-b2f98bc7abb0c67d4c86055c7fd72218'}> -2024-10-30 06:44:35,795 - lightrag - DEBUG - Trigger summary: "THE SPIRIT" -2024-10-30 06:44:35,895 - lightrag - INFO - get_node:query:MATCH (n:`WINTER DAY`) RETURN n:result:"The winter day serves as the setting for Scrooge\'s journey with the Ghost, representing a time for reflection and nostalgia.""The winter day serves as the setting for Scrooge\'s journey with the Ghost, representing a time for reflection and nostalgia.""The winter day serves as the setting for Scrooge\'s journey with the Ghost, representing a time for reflection and nostalgia.""The winter day serves as the setting for Scrooge\'s journey with the Ghost, representing a time for reflection and nostalgia."', 'source_id': 'chunk-bb21d58d36c6306fd8810ddd51c4a971'}> -2024-10-30 06:44:36,030 - lightrag - INFO - _do_upsert:query: - MERGE (n:`WINTER DAY`) - SET n += $properties - RETURN n - :result:{'entity_type': '"EVENT"', 'description': '"The Winter Day signifies the seasonal setting during Scrooge\'s journey through his memories, highlighting a clear, cold atmosphere filled with nostalgia.""The winter day serves as the setting for Scrooge\'s journey with the Ghost, representing a time for reflection and nostalgia.""The winter day serves as the setting for Scrooge\'s journey with the Ghost, representing a time for reflection and nostalgia.""The winter day serves as the setting for Scrooge\'s journey with the Ghost, representing a time for reflection and nostalgia.""The winter day serves as the setting for Scrooge\'s journey with the Ghost, representing a time for reflection and nostalgia.""The winter day serves as the setting for Scrooge\'s journey with the Ghost, representing a time for reflection and nostalgia."', 'source_id': 'chunk-bb21d58d36c6306fd8810ddd51c4a971'} -2024-10-30 06:44:36,158 - lightrag - INFO - get_node:query:MATCH (n:`MARKET-TOWN`) RETURN n:result:"The market-town appears in Scrooge\'s memories as a significant place from his childhood, representing a connection to his past.""The market-town appears in Scrooge\'s memories as a significant place from his childhood, representing a connection to his past.""The market-town appears in Scrooge\'s memories as a significant place from his childhood, representing a connection to his past.""The market-town appears in Scrooge\'s memories as a significant place from his childhood, representing a connection to his past."', 'source_id': 'chunk-bb21d58d36c6306fd8810ddd51c4a971'}> -2024-10-30 06:44:36,285 - lightrag - INFO - _do_upsert:query: - MERGE (n:`MARKET-TOWN`) - SET n += $properties - RETURN n - :result:{'entity_type': '"GEO"', 'description': '"The Market-Town is a nostalgic location from Scrooge\'s youth, evoking memories and emotions tied to his childhood.""The market-town appears in Scrooge\'s memories as a significant place from his childhood, representing a connection to his past.""The market-town appears in Scrooge\'s memories as a significant place from his childhood, representing a connection to his past.""The market-town appears in Scrooge\'s memories as a significant place from his childhood, representing a connection to his past.""The market-town appears in Scrooge\'s memories as a significant place from his childhood, representing a connection to his past.""The market-town appears in Scrooge\'s memories as a significant place from his childhood, representing a connection to his past."', 'source_id': 'chunk-bb21d58d36c6306fd8810ddd51c4a971'} -2024-10-30 06:44:36,417 - lightrag - INFO - get_node:query:MATCH (n:`BOYS`) RETURN n:result: -2024-10-30 06:44:36,551 - lightrag - INFO - _do_upsert:query: - MERGE (n:`BOYS`) - SET n += $properties - RETURN n - :result:{'entity_type': '"PERSON"', 'description': '"The boys are depicted as cheerful characters riding ponies, contributing to the joyful atmosphere and memories of Scrooge\'s past."', 'source_id': 'chunk-bb21d58d36c6306fd8810ddd51c4a971'} -2024-10-30 06:44:36,676 - lightrag - INFO - get_node:query:MATCH (n:`SHAGGY PONIES`) RETURN n:result: -2024-10-30 06:44:36,807 - lightrag - INFO - _do_upsert:query: - MERGE (n:`SHAGGY PONIES`) - SET n += $properties - RETURN n - :result:{'entity_type': '"GEO"', 'description': '"Shaggy ponies are mentioned as part of the scene, representing the innocent and playful aspects of Scrooge\'s childhood."', 'source_id': 'chunk-bb21d58d36c6306fd8810ddd51c4a971'} -2024-10-30 06:44:36,930 - lightrag - INFO - get_node:query:MATCH (n:`BRIDGE`) RETURN n:result: -2024-10-30 06:44:37,064 - lightrag - INFO - _do_upsert:query: - MERGE (n:`BRIDGE`) - SET n += $properties - RETURN n - :result:{'entity_type': '"GEO"', 'description': '"The bridge is a landmark in the market-town that Scrooge recognizes from his childhood, symbolizing a connection to his past."', 'source_id': 'chunk-bb21d58d36c6306fd8810ddd51c4a971'} -2024-10-30 06:44:37,190 - lightrag - INFO - get_node:query:MATCH (n:`CHURCH`) RETURN n:result: -2024-10-30 06:44:37,317 - lightrag - INFO - _do_upsert:query: - MERGE (n:`CHURCH`) - SET n += $properties - RETURN n - :result:{'entity_type': '"GEO"', 'description': '"The church is another landmark in the market-town representing tradition and community significant to Scrooge\'s memories."', 'source_id': 'chunk-bb21d58d36c6306fd8810ddd51c4a971'} -2024-10-30 06:44:37,450 - lightrag - INFO - get_node:query:MATCH (n:`WINDING RIVER`) RETURN n:result: -2024-10-30 06:44:37,584 - lightrag - INFO - _do_upsert:query: - MERGE (n:`WINDING RIVER`) - SET n += $properties - RETURN n - :result:{'entity_type': '"GEO"', 'description': '"The winding river is part of the landscape Scrooge recalls, tying into his emotions of nostalgia and remembrance of home."', 'source_id': 'chunk-bb21d58d36c6306fd8810ddd51c4a971'} -2024-10-30 06:44:37,707 - lightrag - INFO - get_node:query:MATCH (n:`ALI BABA`) RETURN n:result:"Ali Baba is a character from a story recalled by Scrooge, representing memories of adventure and kindness during Christmas.""Ali Baba is a character from a story recalled by Scrooge, representing memories of adventure and kindness during Christmas.""Ali Baba is a character from a story recalled by Scrooge, representing memories of adventure and kindness during Christmas.""Ali Baba is mentioned as a character from a story that impacts Scrooge during his reflection on Christmas and childhood."', 'source_id': 'chunk-8590d9263cd2cd4fa583c432fc54e6c3'}> -2024-10-30 06:44:37,837 - lightrag - INFO - _do_upsert:query: - MERGE (n:`ALI BABA`) - SET n += $properties - RETURN n - :result:{'entity_type': '"PERSON"', 'description': '"Ali Baba is a character from a story recalled by Scrooge, representing memories of adventure and kindness during Christmas.""Ali Baba is a character from a story recalled by Scrooge, representing memories of adventure and kindness during Christmas.""Ali Baba is a character from a story recalled by Scrooge, representing memories of adventure and kindness during Christmas.""Ali Baba is a character from a story recalled by Scrooge, representing memories of adventure and kindness during Christmas.""Ali Baba is a character from a story recalled by Scrooge, representing memories of adventure and kindness during Christmas.""Ali Baba is mentioned as a character from a story that impacts Scrooge during his reflection on Christmas and childhood."', 'source_id': 'chunk-8590d9263cd2cd4fa583c432fc54e6c3'} -2024-10-30 06:44:37,962 - lightrag - INFO - get_node:query:MATCH (n:`VALENTINE`) RETURN n:result:"Valentine is mentioned as a character associated with Scrooge\'s childhood memories, indicating the depth of his nostalgia.""Valentine is mentioned as a character associated with Scrooge\'s childhood memories, indicating the depth of his nostalgia.""Valentine is mentioned as a character associated with Scrooge\'s childhood memories, indicating the depth of his nostalgia.""Valentine is referenced as a brother of a character, and his presence contributes to the holiday memories Scrooge recalls."', 'source_id': 'chunk-8590d9263cd2cd4fa583c432fc54e6c3'}> -2024-10-30 06:44:38,089 - lightrag - INFO - _do_upsert:query: - MERGE (n:`VALENTINE`) - SET n += $properties - RETURN n - :result:{'entity_type': '"PERSON"', 'description': '"Valentine is mentioned as a character associated with Scrooge\'s childhood memories, indicating the depth of his nostalgia.""Valentine is mentioned as a character associated with Scrooge\'s childhood memories, indicating the depth of his nostalgia.""Valentine is mentioned as a character associated with Scrooge\'s childhood memories, indicating the depth of his nostalgia.""Valentine is mentioned as a character associated with Scrooge\'s childhood memories, indicating the depth of his nostalgia.""Valentine is mentioned as a character associated with Scrooge\'s childhood memories, indicating the depth of his nostalgia.""Valentine is referenced as a brother of a character, and his presence contributes to the holiday memories Scrooge recalls."', 'source_id': 'chunk-8590d9263cd2cd4fa583c432fc54e6c3'} -2024-10-30 06:44:38,216 - lightrag - INFO - get_node:query:MATCH (n:`ORSON`) RETURN n:result:"Orson, the wild brother of Valentine, is another figure from Scrooge\'s past, representing familial connections and memories.""Orson, the wild brother of Valentine, is another figure from Scrooge\'s past, representing familial connections and memories.""Orson, the wild brother of Valentine, is another figure from Scrooge\'s past, representing familial connections and memories.""Orson, the wild brother of Valentine, is another figure from Scrooge\'s past, representing familial connections and memories."', 'source_id': 'chunk-8590d9263cd2cd4fa583c432fc54e6c3'}> -2024-10-30 06:44:38,348 - lightrag - INFO - _do_upsert:query: - MERGE (n:`ORSON`) - SET n += $properties - RETURN n - :result:{'entity_type': '"PERSON"', 'description': '"Orson is mentioned as another brother mentioned by Scrooge, recalling his childhood tales and adventures.""Orson, the wild brother of Valentine, is another figure from Scrooge\'s past, representing familial connections and memories.""Orson, the wild brother of Valentine, is another figure from Scrooge\'s past, representing familial connections and memories.""Orson, the wild brother of Valentine, is another figure from Scrooge\'s past, representing familial connections and memories.""Orson, the wild brother of Valentine, is another figure from Scrooge\'s past, representing familial connections and memories.""Orson, the wild brother of Valentine, is another figure from Scrooge\'s past, representing familial connections and memories."', 'source_id': 'chunk-8590d9263cd2cd4fa583c432fc54e6c3'} -2024-10-30 06:44:38,481 - lightrag - INFO - get_node:query:MATCH (n:`MANSION`) RETURN n:result: -2024-10-30 06:44:38,615 - lightrag - INFO - _do_upsert:query: - MERGE (n:`MANSION`) - SET n += $properties - RETURN n - :result:{'entity_type': '"GEO"', 'description': '"The Mansion is a large house described as being in a state of decay and neglect, serving as a setting for Scrooge\'s memories."', 'source_id': 'chunk-8590d9263cd2cd4fa583c432fc54e6c3'} -2024-10-30 06:44:38,739 - lightrag - INFO - get_node:query:MATCH (n:`CHILD`) RETURN n:result: -2024-10-30 06:44:38,869 - lightrag - INFO - _do_upsert:query: - MERGE (n:`CHILD`) - SET n += $properties - RETURN n - :result:{'entity_type': '"PERSON"', 'description': '"The Child is a solitary figure leaving in the school, representing loneliness and the emotions tied to Scrooge\'s memories of his younger self."', 'source_id': 'chunk-8590d9263cd2cd4fa583c432fc54e6c3'} -2024-10-30 06:44:38,995 - lightrag - INFO - get_node:query:MATCH (n:`ROBIN CRUSOE`) RETURN n:result:"Robin Crusoe is a character from literature that Scrooge remembers fondly, illustrating his connection to stories of adventure and survival.""Robin Crusoe is a character from literature that Scrooge remembers fondly, illustrating his connection to stories of adventure and survival.""Robin Crusoe is a character from literature that Scrooge remembers fondly, illustrating his connection to stories of adventure and survival.""Robin Crusoe is a character referenced by Scrooge as part of his memories, signifying tales of adventure and nostalgia."', 'source_id': 'chunk-8590d9263cd2cd4fa583c432fc54e6c3'}> -2024-10-30 06:44:39,126 - lightrag - INFO - _do_upsert:query: - MERGE (n:`ROBIN CRUSOE`) - SET n += $properties - RETURN n - :result:{'entity_type': '"PERSON"', 'description': '"Robin Crusoe is a character from literature that Scrooge remembers fondly, illustrating his connection to stories of adventure and survival.""Robin Crusoe is a character from literature that Scrooge remembers fondly, illustrating his connection to stories of adventure and survival.""Robin Crusoe is a character from literature that Scrooge remembers fondly, illustrating his connection to stories of adventure and survival.""Robin Crusoe is a character from literature that Scrooge remembers fondly, illustrating his connection to stories of adventure and survival.""Robin Crusoe is a character from literature that Scrooge remembers fondly, illustrating his connection to stories of adventure and survival.""Robin Crusoe is a character referenced by Scrooge as part of his memories, signifying tales of adventure and nostalgia."', 'source_id': 'chunk-8590d9263cd2cd4fa583c432fc54e6c3'} -2024-10-30 06:44:39,251 - lightrag - INFO - get_node:query:MATCH (n:`FRIDAY`) RETURN n:result:"Friday is another character from the story of Robin Crusoe, noted in Scrooge\'s memories, indicating the impact of literature on his nostalgia.""Friday is another character from the story of Robin Crusoe, noted in Scrooge\'s memories, indicating the impact of literature on his nostalgia.""Friday is another character from the story of Robin Crusoe, noted in Scrooge\'s memories, indicating the impact of literature on his nostalgia.""Friday is another character from the story of Robin Crusoe, noted in Scrooge\'s memories, indicating the impact of literature on his nostalgia."', 'source_id': 'chunk-8590d9263cd2cd4fa583c432fc54e6c3'}> -2024-10-30 06:44:39,382 - lightrag - INFO - _do_upsert:query: - MERGE (n:`FRIDAY`) - SET n += $properties - RETURN n - :result:{'entity_type': '"PERSON"', 'description': '"Friday is another character from a story mentioned by Scrooge during his nostalgic recollections of childhood.""Friday is another character from the story of Robin Crusoe, noted in Scrooge\'s memories, indicating the impact of literature on his nostalgia.""Friday is another character from the story of Robin Crusoe, noted in Scrooge\'s memories, indicating the impact of literature on his nostalgia.""Friday is another character from the story of Robin Crusoe, noted in Scrooge\'s memories, indicating the impact of literature on his nostalgia.""Friday is another character from the story of Robin Crusoe, noted in Scrooge\'s memories, indicating the impact of literature on his nostalgia.""Friday is another character from the story of Robin Crusoe, noted in Scrooge\'s memories, indicating the impact of literature on his nostalgia."', 'source_id': 'chunk-8590d9263cd2cd4fa583c432fc54e6c3'} -2024-10-30 06:44:39,511 - lightrag - INFO - get_node:query:MATCH (n:`THE PARROT`) RETURN n:result: -2024-10-30 06:44:39,645 - lightrag - INFO - _do_upsert:query: - MERGE (n:`THE PARROT`) - SET n += $properties - RETURN n - :result:{'entity_type': '"PERSON"', 'description': '"The Parrot is a character in Scrooge\'s memory tied to Robin Crusoe, representing Scrooge\'s whimsical recollections."', 'source_id': 'chunk-8590d9263cd2cd4fa583c432fc54e6c3'} -2024-10-30 06:44:39,773 - lightrag - INFO - get_node:query:MATCH (n:`DICK WILKINS`) RETURN n:result:"Dick Wilkins is Scrooge\'s fellow apprentice and close companion during his younger years, indicating camaraderie during their apprenticeship.""Dick Wilkins is Scrooge\'s fellow apprentice, associated with Scrooge\'s past and the context of his earlier, more carefree life.""Dick Wilkins is a former apprentice of Scrooge, remembered fondly for his attachment to Scrooge.""Dick Wilkins is Scrooge\'s fellow apprentice, associated with Scrooge\'s past and the context of his earlier, more carefree life.""Dick Wilkins is a former apprentice of Scrooge, remembered fondly for his attachment to Scrooge.""Dick Wilkins is Scrooge\'s fellow apprentice, associated with Scrooge\'s past and the context of his earlier, more carefree life.""Dick Wilkins is a former apprentice of Scrooge, remembered fondly for his attachment to Scrooge.""Dick Wilkins is Scrooge\'s fellow apprentice, associated with Scrooge\'s past and the context of his earlier, more carefree life.""Dick Wilkins is a former apprentice of Scrooge, remembered fondly for his attachment to Scrooge."', 'source_id': 'chunk-8bc1edd983869352d14cf0886a9175a7chunk-c6c248858d1b13ab7ee9ca13c1aeed6b'}> -2024-10-30 06:44:39,910 - lightrag - INFO - _do_upsert:query: - MERGE (n:`DICK WILKINS`) - SET n += $properties - RETURN n - :result:{'entity_type': '"PERSON"', 'description': '"Dick Wilkins is Ebenezer\'s fellow apprentice, with whom he shared a strong attachment during their youth.""Dick Wilkins is Scrooge\'s fellow apprentice and close companion during his younger years, indicating camaraderie during their apprenticeship.""Dick Wilkins is Scrooge\'s fellow apprentice, associated with Scrooge\'s past and the context of his earlier, more carefree life.""Dick Wilkins is a former apprentice of Scrooge, remembered fondly for his attachment to Scrooge.""Dick Wilkins is Scrooge\'s fellow apprentice, associated with Scrooge\'s past and the context of his earlier, more carefree life.""Dick Wilkins is a former apprentice of Scrooge, remembered fondly for his attachment to Scrooge.""Dick Wilkins is Scrooge\'s fellow apprentice, associated with Scrooge\'s past and the context of his earlier, more carefree life.""Dick Wilkins is a former apprentice of Scrooge, remembered fondly for his attachment to Scrooge.""Dick Wilkins is Scrooge\'s fellow apprentice, associated with Scrooge\'s past and the context of his earlier, more carefree life.""Dick Wilkins is a former apprentice of Scrooge, remembered fondly for his attachment to Scrooge.""Dick Wilkins is Scrooge\'s fellow apprentice, associated with Scrooge\'s past and the context of his earlier, more carefree life.""Dick Wilkins is a former apprentice of Scrooge, remembered fondly for his attachment to Scrooge."', 'source_id': 'chunk-c6c248858d1b13ab7ee9ca13c1aeed6bchunk-8bc1edd983869352d14cf0886a9175a7'} -2024-10-30 06:44:40,038 - lightrag - INFO - get_node:query:MATCH (n:`THE CITY`) RETURN n:result:"The City represents the bustling urban environment where Scrooge reflects on his past, filled with activity and shadowy figures.""The City, from which Scrooge is transported, represents his past life and is contrasted with the open country road that signifies his memories.""The City refers to the broader urban environment in which Scrooge operates and signifies the societal norms and attitudes towards Christmas.""The City represents the bustling urban environment where Scrooge\'s memories unfold, highlighting the contrast between his past and present.""The City refers to the broader urban environment in which Scrooge operates and signifies the societal norms and attitudes towards Christmas.""The City represents the bustling urban environment where Scrooge\'s memories unfold, highlighting the contrast between his past and present.""The City refers to the broader urban environment in which Scrooge operates and signifies the societal norms and attitudes towards Christmas.""The City represents the bustling urban environment where Scrooge\'s memories unfold, highlighting the contrast between his past and present.""The City refers to the broader urban environment in which Scrooge operates and signifies the societal norms and attitudes towards Christmas.""The City represents the bustling urban environment where Scrooge\'s memories unfold, highlighting the contrast between his past and present."', 'source_id': 'chunk-94bea83e7153fc2064aa382b494936a1chunk-74e2466de2f67fd710ef2f20c0a8d9e0chunk-c6c248858d1b13ab7ee9ca13c1aeed6bchunk-bb21d58d36c6306fd8810ddd51c4a971'}> -2024-10-30 06:44:40,169 - lightrag - INFO - _do_upsert:query: - MERGE (n:`THE CITY`) - SET n += $properties - RETURN n - :result:{'entity_type': '"GEO"', 'description': '"The City provides the backdrop for Scrooge\'s story, representing the bustling environment that underscores his loneliness and detachment from society.""The City represents the bustling urban environment where Scrooge reflects on his past, filled with activity and shadowy figures.""The City, from which Scrooge is transported, represents his past life and is contrasted with the open country road that signifies his memories.""The City refers to the broader urban environment in which Scrooge operates and signifies the societal norms and attitudes towards Christmas.""The City represents the bustling urban environment where Scrooge\'s memories unfold, highlighting the contrast between his past and present.""The City refers to the broader urban environment in which Scrooge operates and signifies the societal norms and attitudes towards Christmas.""The City represents the bustling urban environment where Scrooge\'s memories unfold, highlighting the contrast between his past and present.""The City refers to the broader urban environment in which Scrooge operates and signifies the societal norms and attitudes towards Christmas.""The City represents the bustling urban environment where Scrooge\'s memories unfold, highlighting the contrast between his past and present.""The City refers to the broader urban environment in which Scrooge operates and signifies the societal norms and attitudes towards Christmas.""The City represents the bustling urban environment where Scrooge\'s memories unfold, highlighting the contrast between his past and present.""The City refers to the broader urban environment in which Scrooge operates and signifies the societal norms and attitudes towards Christmas.""The City represents the bustling urban environment where Scrooge\'s memories unfold, highlighting the contrast between his past and present."', 'source_id': 'chunk-74e2466de2f67fd710ef2f20c0a8d9e0chunk-c6c248858d1b13ab7ee9ca13c1aeed6bchunk-94bea83e7153fc2064aa382b494936a1chunk-bb21d58d36c6306fd8810ddd51c4a971'} -2024-10-30 06:44:40,296 - lightrag - INFO - get_node:query:MATCH (n:`HOME`) RETURN n:result:"Home represents the physical and emotional center for the family, where the Christmas celebration takes place.""Home represents the physical and emotional center for the family, where the Christmas celebration takes place.""Home represents the physical and emotional center for the family, where the Christmas celebration takes place.""Home symbolizes warmth, safety, and family connection, representing what Scrooge yearns for but has lost in his life.""Home symbolizes warmth, safety, and family connection, representing what Scrooge yearns for but has lost in his life.""Home symbolizes warmth, safety, and family connection, representing what Scrooge yearns for but has lost in his life.""Home symbolizes warmth, safety, and family connection, representing what Scrooge yearns for but has lost in his life."', 'source_id': 'chunk-da2472b4ef2a535b62908f14d0fb0ca9chunk-c6c248858d1b13ab7ee9ca13c1aeed6b'}> -2024-10-30 06:44:40,429 - lightrag - INFO - _do_upsert:query: - MERGE (n:`HOME`) - SET n += $properties - RETURN n - :result:{'entity_type': '"CONCEPT"', 'description': '"Home represents the physical and emotional center for the family, where the Christmas celebration takes place.""Home represents the physical and emotional center for the family, where the Christmas celebration takes place.""Home represents the physical and emotional center for the family, where the Christmas celebration takes place.""Home represents the physical and emotional center for the family, where the Christmas celebration takes place.""Home represents the physical and emotional center for the family, where the Christmas celebration takes place.""Home symbolizes warmth, safety, and family connection, representing what Scrooge yearns for but has lost in his life.""Home symbolizes warmth, safety, and family connection, representing what Scrooge yearns for but has lost in his life.""Home symbolizes warmth, safety, and family connection, representing what Scrooge yearns for but has lost in his life.""Home symbolizes warmth, safety, and family connection, representing what Scrooge yearns for but has lost in his life.""Home symbolizes warmth, safety, and family connection, representing what Scrooge yearns for but has lost in his life."', 'source_id': 'chunk-da2472b4ef2a535b62908f14d0fb0ca9chunk-c6c248858d1b13ab7ee9ca13c1aeed6b'} -2024-10-30 06:44:40,562 - lightrag - INFO - get_node:query:MATCH (n:`COACH`) RETURN n:result: -2024-10-30 06:44:40,692 - lightrag - INFO - _do_upsert:query: - MERGE (n:`COACH`) - SET n += $properties - RETURN n - :result:{'entity_type': '"CONCEPT"', 'description': '"The Coach is a means of transport that signifies the transition from Scrooge\'s lonely past to the possibility of companionship and warmth."', 'source_id': 'chunk-c6c248858d1b13ab7ee9ca13c1aeed6b'} -2024-10-30 06:44:40,817 - lightrag - INFO - get_node:query:MATCH (n:`THE SCHOOL`) RETURN n:result: -2024-10-30 06:44:40,948 - lightrag - INFO - _do_upsert:query: - MERGE (n:`THE SCHOOL`) - SET n += $properties - RETURN n - :result:{'entity_type': '"ORGANIZATION"', 'description': '"The School represents the institutional aspect of Scrooge\'s childhood, contrasting with the warmth and love represented by Fan."', 'source_id': 'chunk-c6c248858d1b13ab7ee9ca13c1aeed6b'} -2024-10-30 06:44:41,073 - lightrag - INFO - get_node:query:MATCH (n:`COLD`) RETURN n:result: -2024-10-30 06:44:41,204 - lightrag - INFO - _do_upsert:query: - MERGE (n:`COLD`) - SET n += $properties - RETURN n - :result:{'entity_type': '"CONCEPT"', 'description': '"Cold symbolizes the emotional detachment and isolation present in Scrooge\'s life, contrasting with the warmth of family and connection that he longs for."', 'source_id': 'chunk-c6c248858d1b13ab7ee9ca13c1aeed6b'} -2024-10-30 06:44:41,330 - lightrag - INFO - get_node:query:MATCH (n:`EVENING`) RETURN n:result: -2024-10-30 06:44:41,462 - lightrag - INFO - _do_upsert:query: - MERGE (n:`EVENING`) - SET n += $properties - RETURN n - :result:{'entity_type': '"EVENT"', 'description': '"Evening represents a time of transition and reflection as Scrooge recalls his past and seeks transformation."', 'source_id': 'chunk-c6c248858d1b13ab7ee9ca13c1aeed6b'} -2024-10-30 06:44:41,591 - lightrag - INFO - get_node:query:MATCH (n:`THE PARTY`) RETURN n:result:"The Party refers to the potential gathering for the funeral, which the characters consider with amusement rather than sincerity.""The Party refers to festive gatherings that Fezziwig hosts, showcasing joy and camaraderie during the Christmas season.""The Party refers to festive gatherings that Fezziwig hosts, showcasing joy and camaraderie during the Christmas season.""The Party refers to festive gatherings that Fezziwig hosts, showcasing joy and camaraderie during the Christmas season.""The Party refers to festive gatherings that Fezziwig hosts, showcasing joy and camaraderie during the Christmas season."', 'source_id': 'chunk-94bea83e7153fc2064aa382b494936a1chunk-f1a4fbcf1ed86864b9bfd5e8dba4c683chunk-c6c248858d1b13ab7ee9ca13c1aeed6b'}> -2024-10-30 06:44:41,720 - lightrag - INFO - _do_upsert:query: - MERGE (n:`THE PARTY`) - SET n += $properties - RETURN n - :result:{'entity_type': '"EVENT"', 'description': '"The Party is a festive gathering that celebrates Christmas, filled with games and joyful unity among friends and family.""The Party refers to the potential gathering for the funeral, which the characters consider with amusement rather than sincerity.""The Party refers to festive gatherings that Fezziwig hosts, showcasing joy and camaraderie during the Christmas season.""The Party refers to festive gatherings that Fezziwig hosts, showcasing joy and camaraderie during the Christmas season.""The Party refers to festive gatherings that Fezziwig hosts, showcasing joy and camaraderie during the Christmas season.""The Party refers to festive gatherings that Fezziwig hosts, showcasing joy and camaraderie during the Christmas season.""The Party refers to festive gatherings that Fezziwig hosts, showcasing joy and camaraderie during the Christmas season."', 'source_id': 'chunk-f1a4fbcf1ed86864b9bfd5e8dba4c683chunk-c6c248858d1b13ab7ee9ca13c1aeed6bchunk-94bea83e7153fc2064aa382b494936a1'} -2024-10-30 06:44:41,850 - lightrag - INFO - get_node:query:MATCH (n:`THE CHILDREN`) RETURN n:result:chunk-54bdd22db1f84a965b5f4c06c9216d8dchunk-83ac129dc9b56f84c46760d153d68e93chunk-19d72c57ae3408758b18d2568e86dc6bchunk-c6c248858d1b13ab7ee9ca13c1aeed6b'}> -2024-10-30 06:44:41,984 - lightrag - INFO - _do_upsert:query: - MERGE (n:`THE CHILDREN`) - SET n += $properties - RETURN n - :result:{'entity_type': '"PERSON"', 'description': '"The Children are a group experiencing feelings of wonder and delight during the gift-giving scene, highlighting innocence and joy.""The Children are a lively group in the matron\'s home, symbolizing joy, chaos, and familial warmth.""The Children in the Cratchit family represent innocence and curiosity, highlighting the effects of their family\'s struggles on their happiness.""The Children serve as symbols of innocence and joy, representing the untainted happiness of childhood that Scrooge longs to reconnect with.""The children are the offspring of the Cratchit family, showcasing innocence and joy during the Christmas celebrations, reacting with laughter and cheer."The Children are a lively and joyful group experiencing wonder and delight, especially during the gift-giving scenes of the Christmas festivities. They embody innocence and joy, highlighting the untainted happiness of childhood, a happiness that Ebenezer Scrooge longs to reconnect with. Among them are the offspring of the Cratchit family, who, despite the struggles their family faces, react with laughter and cheer during the Christmas celebrations. The Children symbolize familial warmth and chaotic joy in various settings, including the matron\'s home and their own family\'s environment, showcasing their carefree nature and the profound effects of their circumstances on their happiness. Overall, they represent the pure and curious essence of childhood, serving as a reminder of the happiness that can persist even amidst adversity.', 'source_id': 'chunk-da2472b4ef2a535b62908f14d0fb0ca9chunk-19d72c57ae3408758b18d2568e86dc6bchunk-c6c248858d1b13ab7ee9ca13c1aeed6bchunk-54bdd22db1f84a965b5f4c06c9216d8dchunk-83ac129dc9b56f84c46760d153d68e93'} -2024-10-30 06:44:42,112 - lightrag - INFO - get_node:query:MATCH (n:`A COACH TO BRING YOU HOME`) RETURN n:result: -2024-10-30 06:44:42,249 - lightrag - INFO - _do_upsert:query: - MERGE (n:`A COACH TO BRING YOU HOME`) - SET n += $properties - RETURN n - :result:{'entity_type': '"CONCEPT"', 'description': '"A Coach to Bring You Home symbolizes the hope and opportunity for reconnection and warmth in Scrooge\'s life."', 'source_id': 'chunk-c6c248858d1b13ab7ee9ca13c1aeed6b'} -2024-10-30 06:44:42,375 - lightrag - INFO - get_node:query:MATCH (n:`THE DANCERS`) RETURN n:result: -2024-10-30 06:44:42,507 - lightrag - INFO - _do_upsert:query: - MERGE (n:`THE DANCERS`) - SET n += $properties - RETURN n - :result:{'entity_type': '"ORGANIZATION"', 'description': '"The Dancers represent the lively group of people celebrating and participating in the festivities organized by Fezziwig."', 'source_id': 'chunk-8bc1edd983869352d14cf0886a9175a7'} -2024-10-30 06:44:42,634 - lightrag - INFO - get_node:query:MATCH (n:`THE FIDDLER`) RETURN n:result:"The Fiddler is a musician who plays at Fezziwig\'s celebration, providing music for the dancers and contributing to the festive atmosphere.""The Fiddler is a musician who plays at Fezziwig\'s celebration, providing music for the dancers and contributing to the festive atmosphere.""The Fiddler is a musician who plays at Fezziwig\'s celebration, providing music for the dancers and contributing to the festive atmosphere.""The Fiddler is a musician who plays during the festivities, contributing to the atmosphere of joy and celebration."', 'source_id': 'chunk-8bc1edd983869352d14cf0886a9175a7'}> -2024-10-30 06:44:42,761 - lightrag - INFO - _do_upsert:query: - MERGE (n:`THE FIDDLER`) - SET n += $properties - RETURN n - :result:{'entity_type': '"PERSON"', 'description': '"The Fiddler is a musician who plays at Fezziwig\'s celebration, providing music for the dancers and contributing to the festive atmosphere.""The Fiddler is a musician who plays at Fezziwig\'s celebration, providing music for the dancers and contributing to the festive atmosphere.""The Fiddler is a musician who plays at Fezziwig\'s celebration, providing music for the dancers and contributing to the festive atmosphere.""The Fiddler is a musician who plays at Fezziwig\'s celebration, providing music for the dancers and contributing to the festive atmosphere.""The Fiddler is a musician who plays at Fezziwig\'s celebration, providing music for the dancers and contributing to the festive atmosphere.""The Fiddler is a musician who plays during the festivities, contributing to the atmosphere of joy and celebration."', 'source_id': 'chunk-8bc1edd983869352d14cf0886a9175a7'} -2024-10-30 06:44:42,885 - lightrag - INFO - get_node:query:MATCH (n:`THE THREE MISS FEZZIWIGS`) RETURN n:result: -2024-10-30 06:44:43,013 - lightrag - INFO - _do_upsert:query: - MERGE (n:`THE THREE MISS FEZZIWIGS`) - SET n += $properties - RETURN n - :result:{'entity_type': '"PERSON"', 'description': '"The Three Miss Fezziwigs are jovial participants in the celebration, characterized by their lovable demeanor."', 'source_id': 'chunk-8bc1edd983869352d14cf0886a9175a7'} -2024-10-30 06:44:43,142 - lightrag - INFO - get_node:query:MATCH (n:`YOUNG FOLLOWERS`) RETURN n:result: -2024-10-30 06:44:43,274 - lightrag - INFO - _do_upsert:query: - MERGE (n:`YOUNG FOLLOWERS`) - SET n += $properties - RETURN n - :result:{'entity_type': '"ORGANIZATION"', 'description': '"The Young Followers consist of several young men and women who are employed in Fezziwig\'s business and participate in the festivities."', 'source_id': 'chunk-8bc1edd983869352d14cf0886a9175a7'} -2024-10-30 06:44:43,401 - lightrag - INFO - get_node:query:MATCH (n:`THE HOUSEMAID`) RETURN n:result:"The Housemaid is a character present during the celebrations, contributing to the lively atmosphere of the evening.""The Housemaid is a character present during the celebrations, contributing to the lively atmosphere of the evening.""The Housemaid is a character present during the celebrations, contributing to the lively atmosphere of the evening.""The Housemaid is mentioned as part of the domestic staff involved in the celebration, contributing to the jovial atmosphere."', 'source_id': 'chunk-8bc1edd983869352d14cf0886a9175a7'}> -2024-10-30 06:44:43,535 - lightrag - INFO - _do_upsert:query: - MERGE (n:`THE HOUSEMAID`) - SET n += $properties - RETURN n - :result:{'entity_type': '"PERSON"', 'description': '"The Housemaid is a character present during the celebrations, contributing to the lively atmosphere of the evening.""The Housemaid is a character present during the celebrations, contributing to the lively atmosphere of the evening.""The Housemaid is a character present during the celebrations, contributing to the lively atmosphere of the evening.""The Housemaid is a character present during the celebrations, contributing to the lively atmosphere of the evening.""The Housemaid is a character present during the celebrations, contributing to the lively atmosphere of the evening.""The Housemaid is mentioned as part of the domestic staff involved in the celebration, contributing to the jovial atmosphere."', 'source_id': 'chunk-8bc1edd983869352d14cf0886a9175a7'} -2024-10-30 06:44:43,664 - lightrag - INFO - get_node:query:MATCH (n:`THE COOK`) RETURN n:result:"The Cook is another character involved in the celebrations, participating in the festivities alongside other guests.""The Cook is another character involved in the celebrations, participating in the festivities alongside other guests.""The Cook is another character involved in the celebrations, participating in the festivities alongside other guests.""The Cook is part of the household and participates in the festive gathering, alongside other staff."', 'source_id': 'chunk-8bc1edd983869352d14cf0886a9175a7'}> -2024-10-30 06:44:43,797 - lightrag - INFO - _do_upsert:query: - MERGE (n:`THE COOK`) - SET n += $properties - RETURN n - :result:{'entity_type': '"PERSON"', 'description': '"The Cook is another character involved in the celebrations, participating in the festivities alongside other guests.""The Cook is another character involved in the celebrations, participating in the festivities alongside other guests.""The Cook is another character involved in the celebrations, participating in the festivities alongside other guests.""The Cook is another character involved in the celebrations, participating in the festivities alongside other guests.""The Cook is another character involved in the celebrations, participating in the festivities alongside other guests.""The Cook is part of the household and participates in the festive gathering, alongside other staff."', 'source_id': 'chunk-8bc1edd983869352d14cf0886a9175a7'} -2024-10-30 06:44:43,928 - lightrag - INFO - get_node:query:MATCH (n:`THE BAKER`) RETURN n:result:"The Baker is related to the Housemaid and present during the celebrations, adding to the communal aspect of the event.""The Baker is related to the Housemaid and present during the celebrations, adding to the communal aspect of the event.""The Baker is related to the Housemaid and present during the celebrations, adding to the communal aspect of the event.""The Baker is related to the Housemaid and present during the celebrations, adding to the communal aspect of the event."', 'source_id': 'chunk-8bc1edd983869352d14cf0886a9175a7'}> -2024-10-30 06:44:44,060 - lightrag - INFO - _do_upsert:query: - MERGE (n:`THE BAKER`) - SET n += $properties - RETURN n - :result:{'entity_type': '"PERSON"', 'description': '"The Baker is a cousin to the housemaid, indicating the interconnectedness of the household staff during the festivities.""The Baker is related to the Housemaid and present during the celebrations, adding to the communal aspect of the event.""The Baker is related to the Housemaid and present during the celebrations, adding to the communal aspect of the event.""The Baker is related to the Housemaid and present during the celebrations, adding to the communal aspect of the event.""The Baker is related to the Housemaid and present during the celebrations, adding to the communal aspect of the event.""The Baker is related to the Housemaid and present during the celebrations, adding to the communal aspect of the event."', 'source_id': 'chunk-8bc1edd983869352d14cf0886a9175a7'} -2024-10-30 06:44:44,187 - lightrag - INFO - get_node:query:MATCH (n:`THE BOY FROM OVER THE WAY`) RETURN n:result: -2024-10-30 06:44:44,321 - lightrag - INFO - _do_upsert:query: - MERGE (n:`THE BOY FROM OVER THE WAY`) - SET n += $properties - RETURN n - :result:{'entity_type': '"PERSON"', 'description': '"The Boy from Over the Way is a humorous character trying to hide behind another participant, showcasing the inclusiveness of the celebrations."', 'source_id': 'chunk-8bc1edd983869352d14cf0886a9175a7'} -2024-10-30 06:44:44,445 - lightrag - INFO - get_node:query:MATCH (n:`THE GIRL FROM NEXT DOOR`) RETURN n:result: -2024-10-30 06:44:44,577 - lightrag - INFO - _do_upsert:query: - MERGE (n:`THE GIRL FROM NEXT DOOR`) - SET n += $properties - RETURN n - :result:{'entity_type': '"PERSON"', 'description': '"The Girl from Next Door is referenced as hiding from the Boy, illustrating the interactions during the event."', 'source_id': 'chunk-8bc1edd983869352d14cf0886a9175a7'} -2024-10-30 06:44:44,702 - lightrag - INFO - get_node:query:MATCH (n:`DICK`) RETURN n:result:"Dick is associated with Scrooge\'s former self, evoking nostalgic memories as Scrooge witnesses the past.""Dick is associated with Scrooge\'s former self, evoking nostalgic memories as Scrooge witnesses the past.""Dick is associated with Scrooge\'s former self, evoking nostalgic memories as Scrooge witnesses the past.""Dick is associated with Scrooge\'s former self, evoking nostalgic memories as Scrooge witnesses the past."', 'source_id': 'chunk-b2f98bc7abb0c67d4c86055c7fd72218'}> -2024-10-30 06:44:44,833 - lightrag - INFO - _do_upsert:query: - MERGE (n:`DICK`) - SET n += $properties - RETURN n - :result:{'entity_type': '"PERSON"', 'description': '"Dick is a character from Scrooge\'s past, reminisced about during the scene, representing the camaraderie shared during the ball.""Dick is associated with Scrooge\'s former self, evoking nostalgic memories as Scrooge witnesses the past.""Dick is associated with Scrooge\'s former self, evoking nostalgic memories as Scrooge witnesses the past.""Dick is associated with Scrooge\'s former self, evoking nostalgic memories as Scrooge witnesses the past.""Dick is associated with Scrooge\'s former self, evoking nostalgic memories as Scrooge witnesses the past.""Dick is associated with Scrooge\'s former self, evoking nostalgic memories as Scrooge witnesses the past."', 'source_id': 'chunk-b2f98bc7abb0c67d4c86055c7fd72218'} -2024-10-30 06:44:44,961 - lightrag - INFO - get_node:query:MATCH (n:`THE GHOST OF CHRISTMAS PAST`) RETURN n:result:"The Ghost of Christmas Past is a supernatural entity that allows Scrooge to revisit and reflect on his previous life experiences.""The Ghost of Christmas Past is a supernatural entity that allows Scrooge to revisit and reflect on his previous life experiences.""The Ghost of Christmas Past is a supernatural entity that allows Scrooge to revisit and reflect on his previous life experiences.""The Ghost of Christmas Past is a supernatural entity that shows Scrooge moments from his past, eliciting reflection and emotion.""The Ghost of Christmas Past represents Scrooge\'s history and helps him confront his former self and decisions made in life.""The Ghost of Christmas Past represents Scrooge\'s history and helps him confront his former self and decisions made in life.""The Ghost of Christmas Past represents Scrooge\'s history and helps him confront his former self and decisions made in life.""The Ghost of Christmas Past represents Scrooge\'s history and helps him confront his former self and decisions made in life."', 'source_id': 'chunk-90b95db5c53e4364a6bee36b7aa4d70fchunk-b2f98bc7abb0c67d4c86055c7fd72218'}> -2024-10-30 06:44:45,096 - lightrag - INFO - _do_upsert:query: - MERGE (n:`THE GHOST OF CHRISTMAS PAST`) - SET n += $properties - RETURN n - :result:{'entity_type': '"EVENT"', 'description': '"The Ghost of Christmas Past is a supernatural entity that allows Scrooge to revisit and reflect on his previous life experiences.""The Ghost of Christmas Past is a supernatural entity that allows Scrooge to revisit and reflect on his previous life experiences.""The Ghost of Christmas Past is a supernatural entity that allows Scrooge to revisit and reflect on his previous life experiences.""The Ghost of Christmas Past is a supernatural entity that allows Scrooge to revisit and reflect on his previous life experiences.""The Ghost of Christmas Past is a supernatural entity that allows Scrooge to revisit and reflect on his previous life experiences.""The Ghost of Christmas Past is a supernatural entity that shows Scrooge moments from his past, eliciting reflection and emotion.""The Ghost of Christmas Past represents Scrooge\'s history and helps him confront his former self and decisions made in life.""The Ghost of Christmas Past represents Scrooge\'s history and helps him confront his former self and decisions made in life.""The Ghost of Christmas Past represents Scrooge\'s history and helps him confront his former self and decisions made in life.""The Ghost of Christmas Past represents Scrooge\'s history and helps him confront his former self and decisions made in life.""The Ghost of Christmas Past represents Scrooge\'s history and helps him confront his former self and decisions made in life."', 'source_id': 'chunk-b2f98bc7abb0c67d4c86055c7fd72218chunk-90b95db5c53e4364a6bee36b7aa4d70f'} -2024-10-30 06:44:45,222 - lightrag - INFO - get_node:query:MATCH (n:`THE DOMESTIC BALL`) RETURN n:result:"The Domestic Ball represents a joyful gathering, fostering a sense of community and happiness among the participants.""The Domestic Ball represents a joyful gathering, fostering a sense of community and happiness among the participants.""The Domestic Ball represents a joyful gathering, fostering a sense of community and happiness among the participants.""The Domestic Ball represents a joyful gathering, fostering a sense of community and happiness among the participants."', 'source_id': 'chunk-b2f98bc7abb0c67d4c86055c7fd72218'}> -2024-10-30 06:44:45,353 - lightrag - INFO - _do_upsert:query: - MERGE (n:`THE DOMESTIC BALL`) - SET n += $properties - RETURN n - :result:{'entity_type': '"EVENT"', 'description': '"The Domestic Ball is a joyful celebration organized by Fezziwig, where guests enjoy dancing and merry exchanges.""The Domestic Ball represents a joyful gathering, fostering a sense of community and happiness among the participants.""The Domestic Ball represents a joyful gathering, fostering a sense of community and happiness among the participants.""The Domestic Ball represents a joyful gathering, fostering a sense of community and happiness among the participants.""The Domestic Ball represents a joyful gathering, fostering a sense of community and happiness among the participants.""The Domestic Ball represents a joyful gathering, fostering a sense of community and happiness among the participants."', 'source_id': 'chunk-b2f98bc7abb0c67d4c86055c7fd72218'} -2024-10-30 06:44:45,482 - lightrag - INFO - get_node:query:MATCH (n:`THE TWO APPRENTICES`) RETURN n:result:"The Two Apprentices are characters present at the Domestic Ball, who express gratitude and admiration for Fezziwig after the event.""The Two Apprentices are characters present at the Domestic Ball, who express gratitude and admiration for Fezziwig after the event.""The Two Apprentices are characters present at the Domestic Ball, who express gratitude and admiration for Fezziwig after the event.""The Two Apprentices are characters present at the Domestic Ball, who express gratitude and admiration for Fezziwig after the event."', 'source_id': 'chunk-b2f98bc7abb0c67d4c86055c7fd72218'}> -2024-10-30 06:44:45,613 - lightrag - INFO - _do_upsert:query: - MERGE (n:`THE TWO APPRENTICES`) - SET n += $properties - RETURN n - :result:{'entity_type': '"PERSON"', 'description': '"The Two Apprentices are characters from Fezziwig\'s establishment who express gratitude and admiration for Fezziwig\'s positive influence during the Domestic Ball.""The Two Apprentices are characters present at the Domestic Ball, who express gratitude and admiration for Fezziwig after the event.""The Two Apprentices are characters present at the Domestic Ball, who express gratitude and admiration for Fezziwig after the event.""The Two Apprentices are characters present at the Domestic Ball, who express gratitude and admiration for Fezziwig after the event.""The Two Apprentices are characters present at the Domestic Ball, who express gratitude and admiration for Fezziwig after the event.""The Two Apprentices are characters present at the Domestic Ball, who express gratitude and admiration for Fezziwig after the event."', 'source_id': 'chunk-b2f98bc7abb0c67d4c86055c7fd72218'} -2024-10-30 06:44:45,741 - lightrag - INFO - get_node:query:MATCH (n:`THE GOLDEN IDOL`) RETURN n:result: -2024-10-30 06:44:45,871 - lightrag - INFO - _do_upsert:query: - MERGE (n:`THE GOLDEN IDOL`) - SET n += $properties - RETURN n - :result:{'entity_type': '"CONCEPT"', 'description': '"The Golden Idol symbolizes materialism and the pursuit of wealth, indicating a shift in Scrooge\'s values over time."', 'source_id': 'chunk-b2f98bc7abb0c67d4c86055c7fd72218'} -2024-10-30 06:44:46,001 - lightrag - INFO - get_node:query:MATCH (n:`THE PRIME OF LIFE`) RETURN n:result: -2024-10-30 06:44:46,125 - lightrag - INFO - _do_upsert:query: - MERGE (n:`THE PRIME OF LIFE`) - SET n += $properties - RETURN n - :result:{'entity_type': '"EVENT"', 'description': '"The Prime of Life refers to a phase in Scrooge\'s youth when he was more carefree before becoming hardened by greed."', 'source_id': 'chunk-b2f98bc7abb0c67d4c86055c7fd72218'} -2024-10-30 06:44:46,252 - lightrag - INFO - get_node:query:MATCH (n:`THE MOURNING DRESS`) RETURN n:result: -2024-10-30 06:44:46,380 - lightrag - INFO - _do_upsert:query: - MERGE (n:`THE MOURNING DRESS`) - SET n += $properties - RETURN n - :result:{'entity_type': '"CONCEPT"', 'description': '"The Mourning Dress symbolizes loss and separation, highlighting the emotional distance between Scrooge and his former love."', 'source_id': 'chunk-b2f98bc7abb0c67d4c86055c7fd72218'} -2024-10-30 06:44:46,507 - lightrag - INFO - get_node:query:MATCH (n:`THE BEAUTIFUL YOUNG GIRL`) RETURN n:result: -2024-10-30 06:44:46,636 - lightrag - INFO - _do_upsert:query: - MERGE (n:`THE BEAUTIFUL YOUNG GIRL`) - SET n += $properties - RETURN n - :result:{'entity_type': '"PERSON"', 'description': '"The Beautiful Young Girl is a figure from Scrooge\'s past, representing lost opportunities and innocence."', 'source_id': 'chunk-54bdd22db1f84a965b5f4c06c9216d8d'} -2024-10-30 06:44:46,766 - lightrag - INFO - get_node:query:MATCH (n:`THE COMELY MATRON`) RETURN n:result: -2024-10-30 06:44:46,900 - lightrag - INFO - _do_upsert:query: - MERGE (n:`THE COMELY MATRON`) - SET n += $properties - RETURN n - :result:{'entity_type': '"PERSON"', 'description': '"The Comely Matron is the grown-up version of the Beautiful Young Girl, emphasizing change and the passage of time."', 'source_id': 'chunk-54bdd22db1f84a965b5f4c06c9216d8d'} -2024-10-30 06:44:47,024 - lightrag - INFO - get_node:query:MATCH (n:`CHRISTMAS TOYS AND PRESENTS`) RETURN n:result:"Christmas Toys and Presents are associated with familial love and joy, as they arrive with the father, enhancing the holiday spirit.""Christmas Toys and Presents are associated with familial love and joy, as they arrive with the father, enhancing the holiday spirit.""Christmas Toys and Presents are associated with familial love and joy, as they arrive with the father, enhancing the holiday spirit.""Christmas Toys and Presents are associated with joy and celebration, marking the festive occasion and the love shared among family.""Christmas Toys and Presents signify the spirit of giving and the excitement that surrounds the holiday season, especially for children.""Christmas Toys and Presents signify the spirit of giving and the excitement that surrounds the holiday season, especially for children.""Christmas Toys and Presents signify the spirit of giving and the excitement that surrounds the holiday season, especially for children.""Christmas Toys and Presents signify the spirit of giving and the excitement that surrounds the holiday season, especially for children."', 'source_id': 'chunk-da2472b4ef2a535b62908f14d0fb0ca9chunk-54bdd22db1f84a965b5f4c06c9216d8d'}> -2024-10-30 06:44:47,151 - lightrag - INFO - _do_upsert:query: - MERGE (n:`CHRISTMAS TOYS AND PRESENTS`) - SET n += $properties - RETURN n - :result:{'entity_type': '"EVENT"', 'description': '"Christmas Toys and Presents are associated with familial love and joy, as they arrive with the father, enhancing the holiday spirit.""Christmas Toys and Presents are associated with familial love and joy, as they arrive with the father, enhancing the holiday spirit.""Christmas Toys and Presents are associated with familial love and joy, as they arrive with the father, enhancing the holiday spirit.""Christmas Toys and Presents are associated with familial love and joy, as they arrive with the father, enhancing the holiday spirit.""Christmas Toys and Presents are associated with familial love and joy, as they arrive with the father, enhancing the holiday spirit.""Christmas Toys and Presents are associated with joy and celebration, marking the festive occasion and the love shared among family.""Christmas Toys and Presents signify the spirit of giving and the excitement that surrounds the holiday season, especially for children.""Christmas Toys and Presents signify the spirit of giving and the excitement that surrounds the holiday season, especially for children.""Christmas Toys and Presents signify the spirit of giving and the excitement that surrounds the holiday season, especially for children.""Christmas Toys and Presents signify the spirit of giving and the excitement that surrounds the holiday season, especially for children.""Christmas Toys and Presents signify the spirit of giving and the excitement that surrounds the holiday season, especially for children."', 'source_id': 'chunk-54bdd22db1f84a965b5f4c06c9216d8dchunk-da2472b4ef2a535b62908f14d0fb0ca9'} -2024-10-30 06:44:47,280 - lightrag - INFO - get_node:query:MATCH (n:`THE ROOM`) RETURN n:result: -2024-10-30 06:44:47,414 - lightrag - INFO - _do_upsert:query: - MERGE (n:`THE ROOM`) - SET n += $properties - RETURN n - :result:{'entity_type': '"GEO"', 'description': '"The Room is described as a cozy, comfortable setting where the comely matron and her children interact during festive times."', 'source_id': 'chunk-54bdd22db1f84a965b5f4c06c9216d8d'} -2024-10-30 06:44:47,543 - lightrag - INFO - get_node:query:MATCH (n:`THE WINTER FIRE`) RETURN n:result: -2024-10-30 06:44:47,670 - lightrag - INFO - _do_upsert:query: - MERGE (n:`THE WINTER FIRE`) - SET n += $properties - RETURN n - :result:{'entity_type': '"EVENT"', 'description': '"The Winter Fire represents warmth and comfort in the room where the matron and children gather, enhancing the festive atmosphere."', 'source_id': 'chunk-54bdd22db1f84a965b5f4c06c9216d8d'} -2024-10-30 06:44:47,795 - lightrag - INFO - get_node:query:MATCH (n:`THE FATHER`) RETURN n:result:"The Father is a character who returns home and is greeted with excitement, embodying family warmth and joy during Christmas celebrations.""The Father is a character who returns home with presents, symbolizing the joy of family and the spirit of giving during Christmas.""The Father is a character who returns home and is greeted with excitement, embodying family warmth and joy during Christmas celebrations.""The Father is a character who returns home with presents, symbolizing the joy of family and the spirit of giving during Christmas.""The Father is a character who returns home and is greeted with excitement, embodying family warmth and joy during Christmas celebrations.""The Father is a character who returns home with presents, symbolizing the joy of family and the spirit of giving during Christmas.""The Father is a character who returns home and is greeted with excitement, embodying family warmth and joy during Christmas celebrations.""The Father is a character who returns home with presents, symbolizing the joy of family and the spirit of giving during Christmas."', 'source_id': 'chunk-da2472b4ef2a535b62908f14d0fb0ca9chunk-54bdd22db1f84a965b5f4c06c9216d8d'}> -2024-10-30 06:44:47,925 - lightrag - INFO - _do_upsert:query: - MERGE (n:`THE FATHER`) - SET n += $properties - RETURN n - :result:{'entity_type': '"PERSON"', 'description': '"The Father is a character who arrives home with Christmas presents, symbolizing familial joy and festive spirit.""The Father is a character who returns home and is greeted with excitement, embodying family warmth and joy during Christmas celebrations.""The Father is a character who returns home with presents, symbolizing the joy of family and the spirit of giving during Christmas.""The Father is a character who returns home and is greeted with excitement, embodying family warmth and joy during Christmas celebrations.""The Father is a character who returns home with presents, symbolizing the joy of family and the spirit of giving during Christmas.""The Father is a character who returns home and is greeted with excitement, embodying family warmth and joy during Christmas celebrations.""The Father is a character who returns home with presents, symbolizing the joy of family and the spirit of giving during Christmas.""The Father is a character who returns home and is greeted with excitement, embodying family warmth and joy during Christmas celebrations.""The Father is a character who returns home with presents, symbolizing the joy of family and the spirit of giving during Christmas.""The Father is a character who returns home and is greeted with excitement, embodying family warmth and joy during Christmas celebrations.""The Father is a character who returns home with presents, symbolizing the joy of family and the spirit of giving during Christmas."', 'source_id': 'chunk-54bdd22db1f84a965b5f4c06c9216d8dchunk-da2472b4ef2a535b62908f14d0fb0ca9'} -2024-10-30 06:44:48,048 - lightrag - INFO - get_node:query:MATCH (n:`THE YOUNG BRIGANDS`) RETURN n:result: -2024-10-30 06:44:48,174 - lightrag - INFO - _do_upsert:query: - MERGE (n:`THE YOUNG BRIGANDS`) - SET n += $properties - RETURN n - :result:{'entity_type': '"PERSON"', 'description': '"The Young Brigands are a playful group of children engaged in merriment and mischief during the festive celebration."', 'source_id': 'chunk-54bdd22db1f84a965b5f4c06c9216d8d'} -2024-10-30 06:44:48,297 - lightrag - INFO - get_node:query:MATCH (n:`THE DOWERLESS GIRL`) RETURN n:result: -2024-10-30 06:44:48,428 - lightrag - INFO - _do_upsert:query: - MERGE (n:`THE DOWERLESS GIRL`) - SET n += $properties - RETURN n - :result:{'entity_type': '"PERSON"', 'description': '"The Dowerless Girl is a symbolic representation of the limitations in relationships based on social and economic status as reflected in Scrooge\'s dialogue."', 'source_id': 'chunk-54bdd22db1f84a965b5f4c06c9216d8d'} -2024-10-30 06:44:48,557 - lightrag - INFO - get_node:query:MATCH (n:`THE MEMORY`) RETURN n:result: -2024-10-30 06:44:48,690 - lightrag - INFO - _do_upsert:query: - MERGE (n:`THE MEMORY`) - SET n += $properties - RETURN n - :result:{'entity_type': '"CONCEPT"', 'description': '"The Memory refers to the recollections of past relationships and feelings that haunt Scrooge as he contemplates his choices."', 'source_id': 'chunk-54bdd22db1f84a965b5f4c06c9216d8d'} -2024-10-30 06:44:48,813 - lightrag - INFO - get_node:query:MATCH (n:`HAPPINESS`) RETURN n:result: -2024-10-30 06:44:48,946 - lightrag - INFO - _do_upsert:query: - MERGE (n:`HAPPINESS`) - SET n += $properties - RETURN n - :result:{'entity_type': '"CONCEPT"', 'description': '"Happiness signifies the conflicting emotions Scrooge feels regarding past love and the reality of his current life choices."', 'source_id': 'chunk-54bdd22db1f84a965b5f4c06c9216d8d'} -2024-10-30 06:44:49,068 - lightrag - INFO - get_node:query:MATCH (n:`HOPE`) RETURN n:result:"Hope emerges as a central theme in the characters\' lives, particularly through Caroline\'s reaction to news about the husband and the family\'s future.""Hope emerges as a central theme in the characters\' lives, particularly through Caroline\'s reaction to news about the husband and the family\'s future.""Hope emerges as a central theme in the characters\' lives, particularly through Caroline\'s reaction to news about the husband and the family\'s future.""Hope represents the aspirations and dreams that characters have, particularly in the context of the matron\'s optimistic nature.""Hope represents the aspirations and dreams that characters have, particularly in the context of the matron\'s optimistic nature.""Hope represents the aspirations and dreams that characters have, particularly in the context of the matron\'s optimistic nature.""Hope represents the aspirations and dreams that characters have, particularly in the context of the matron\'s optimistic nature."', 'source_id': 'chunk-83ac129dc9b56f84c46760d153d68e93chunk-54bdd22db1f84a965b5f4c06c9216d8d'}> -2024-10-30 06:44:49,198 - lightrag - INFO - _do_upsert:query: - MERGE (n:`HOPE`) - SET n += $properties - RETURN n - :result:{'entity_type': '"CONCEPT"', 'description': '"Hope emerges as a central theme in the characters\' lives, particularly through Caroline\'s reaction to news about the husband and the family\'s future.""Hope emerges as a central theme in the characters\' lives, particularly through Caroline\'s reaction to news about the husband and the family\'s future.""Hope emerges as a central theme in the characters\' lives, particularly through Caroline\'s reaction to news about the husband and the family\'s future.""Hope emerges as a central theme in the characters\' lives, particularly through Caroline\'s reaction to news about the husband and the family\'s future.""Hope emerges as a central theme in the characters\' lives, particularly through Caroline\'s reaction to news about the husband and the family\'s future.""Hope represents the aspirations and dreams that characters have, particularly in the context of the matron\'s optimistic nature.""Hope represents the aspirations and dreams that characters have, particularly in the context of the matron\'s optimistic nature.""Hope represents the aspirations and dreams that characters have, particularly in the context of the matron\'s optimistic nature.""Hope represents the aspirations and dreams that characters have, particularly in the context of the matron\'s optimistic nature.""Hope represents the aspirations and dreams that characters have, particularly in the context of the matron\'s optimistic nature."', 'source_id': 'chunk-54bdd22db1f84a965b5f4c06c9216d8dchunk-83ac129dc9b56f84c46760d153d68e93'} -2024-10-30 06:44:49,323 - lightrag - INFO - get_node:query:MATCH (n:`BELLE`) RETURN n:result:"Belle is Scrooge\'s former love, evidence of care and affection, now mentioned in the context of Scrooge’s memories.""Belle is Scrooge\'s former love, evidence of care and affection, now mentioned in the context of Scrooge’s memories.""Belle is Scrooge\'s former love, evidence of care and affection, now mentioned in the context of Scrooge’s memories.""Belle is Scrooge\'s former love, evidence of care and affection, now mentioned in the context of Scrooge’s memories."', 'source_id': 'chunk-da2472b4ef2a535b62908f14d0fb0ca9'}> -2024-10-30 06:44:49,453 - lightrag - INFO - _do_upsert:query: - MERGE (n:`BELLE`) - SET n += $properties - RETURN n - :result:{'entity_type': '"PERSON"', 'description': '"Belle is Scrooge\'s former love whose presence evokes strong feelings of longing and sorrow in Scrooge.""Belle is Scrooge\'s former love, evidence of care and affection, now mentioned in the context of Scrooge’s memories.""Belle is Scrooge\'s former love, evidence of care and affection, now mentioned in the context of Scrooge’s memories.""Belle is Scrooge\'s former love, evidence of care and affection, now mentioned in the context of Scrooge’s memories.""Belle is Scrooge\'s former love, evidence of care and affection, now mentioned in the context of Scrooge’s memories.""Belle is Scrooge\'s former love, evidence of care and affection, now mentioned in the context of Scrooge’s memories."', 'source_id': 'chunk-da2472b4ef2a535b62908f14d0fb0ca9'} -2024-10-30 06:44:49,580 - lightrag - INFO - get_node:query:MATCH (n:`THE OFFICE`) RETURN n:result:"The Office is Scrooge\'s workplace, signifying his past life and the memories associated with his business dealings.""The Office is Scrooge\'s workplace, signifying his past life and the memories associated with his business dealings.""The Office is Scrooge\'s workplace, signifying his past life and the memories associated with his business dealings.""The Office refers to Scrooge\'s workplace, emphasizing his isolation and the business-focused nature of his life.""The Office refers to the workplace where Scrooge and Bob Cratchit interact, highlighting the power dynamics and work-related tension.""The Office refers to Scrooge\'s workplace, emphasizing his isolation and the business-focused nature of his life.""The Office refers to the workplace where Scrooge and Bob Cratchit interact, highlighting the power dynamics and work-related tension.""The Office refers to Scrooge\'s workplace, emphasizing his isolation and the business-focused nature of his life.""The Office refers to the workplace where Scrooge and Bob Cratchit interact, highlighting the power dynamics and work-related tension.""The Office refers to Scrooge\'s workplace, emphasizing his isolation and the business-focused nature of his life.""The Office refers to the workplace where Scrooge and Bob Cratchit interact, highlighting the power dynamics and work-related tension."', 'source_id': 'chunk-94bea83e7153fc2064aa382b494936a1chunk-91572b3cd42786ba4cb2f180ca25cbf4chunk-da2472b4ef2a535b62908f14d0fb0ca9'}> -2024-10-30 06:44:49,714 - lightrag - INFO - _do_upsert:query: - MERGE (n:`THE OFFICE`) - SET n += $properties - RETURN n - :result:{'entity_type': '"ORGANIZATION"', 'description': '"The Office is Scrooge\'s workplace, signifying his past life and the memories associated with his business dealings.""The Office is Scrooge\'s workplace, signifying his past life and the memories associated with his business dealings.""The Office is Scrooge\'s workplace, signifying his past life and the memories associated with his business dealings.""The Office is Scrooge\'s workplace, signifying his past life and the memories associated with his business dealings.""The Office is Scrooge\'s workplace, signifying his past life and the memories associated with his business dealings.""The Office refers to Scrooge\'s workplace, emphasizing his isolation and the business-focused nature of his life.""The Office refers to the workplace where Scrooge and Bob Cratchit interact, highlighting the power dynamics and work-related tension.""The Office refers to Scrooge\'s workplace, emphasizing his isolation and the business-focused nature of his life.""The Office refers to the workplace where Scrooge and Bob Cratchit interact, highlighting the power dynamics and work-related tension.""The Office refers to Scrooge\'s workplace, emphasizing his isolation and the business-focused nature of his life.""The Office refers to the workplace where Scrooge and Bob Cratchit interact, highlighting the power dynamics and work-related tension.""The Office refers to Scrooge\'s workplace, emphasizing his isolation and the business-focused nature of his life.""The Office refers to the workplace where Scrooge and Bob Cratchit interact, highlighting the power dynamics and work-related tension.""The Office refers to Scrooge\'s workplace, emphasizing his isolation and the business-focused nature of his life.""The Office refers to the workplace where Scrooge and Bob Cratchit interact, highlighting the power dynamics and work-related tension."', 'source_id': 'chunk-da2472b4ef2a535b62908f14d0fb0ca9chunk-91572b3cd42786ba4cb2f180ca25cbf4chunk-94bea83e7153fc2064aa382b494936a1'} -2024-10-30 06:44:49,844 - lightrag - INFO - get_node:query:MATCH (n:`THE PORTER`) RETURN n:result:"The Porter is depicted as a defenseless character being playfully assaulted by the children during their festive excitement.""The Porter is depicted as a defenseless character being playfully assaulted by the children during their festive excitement.""The Porter is depicted as a defenseless character being playfully assaulted by the children during their festive excitement.""The Porter is depicted as a defenseless character being playfully assaulted by the children during their festive excitement."', 'source_id': 'chunk-da2472b4ef2a535b62908f14d0fb0ca9'}> -2024-10-30 06:44:49,974 - lightrag - INFO - _do_upsert:query: - MERGE (n:`THE PORTER`) - SET n += $properties - RETURN n - :result:{'entity_type': '"PERSON"', 'description': '"The Porter is a character who becomes the target of playful affection from the children, showcasing innocence and chaos during celebrations.""The Porter is depicted as a defenseless character being playfully assaulted by the children during their festive excitement.""The Porter is depicted as a defenseless character being playfully assaulted by the children during their festive excitement.""The Porter is depicted as a defenseless character being playfully assaulted by the children during their festive excitement.""The Porter is depicted as a defenseless character being playfully assaulted by the children during their festive excitement.""The Porter is depicted as a defenseless character being playfully assaulted by the children during their festive excitement."', 'source_id': 'chunk-da2472b4ef2a535b62908f14d0fb0ca9'} -2024-10-30 06:44:50,099 - lightrag - INFO - get_node:query:MATCH (n:`THE BABY`) RETURN n:result: -2024-10-30 06:44:50,225 - lightrag - INFO - _do_upsert:query: - MERGE (n:`THE BABY`) - SET n += $properties - RETURN n - :result:{'entity_type': '"PERSON"', 'description': '"The Baby is involved in a comical mishap concerning a doll\'s frying pan, symbolizing the innocence and curiosity of childhood."', 'source_id': 'chunk-da2472b4ef2a535b62908f14d0fb0ca9'} -2024-10-30 06:44:50,351 - lightrag - INFO - get_node:query:MATCH (n:`THE MOTHER`) RETURN n:result:"The Mother is a character associated with the family dynamics during the Christmas scene, though her actions are not explicitly detailed.""The Mother is depicted as a comely matron, who enjoys the laughter and chaos with her children, showing warmth and family value.""The Mother is a character who exhibits anxiety and hope as she awaits her husband\'s return, embodying the emotional depth of family relations during hardship.""The Mother is a character who shares a tender moment with her husband and daughter, representing familial love and connection.""The Mother is a character who exhibits anxiety and hope as she awaits her husband\'s return, embodying the emotional depth of family relations during hardship.""The Mother is a character who shares a tender moment with her husband and daughter, representing familial love and connection.""The Mother is a character who exhibits anxiety and hope as she awaits her husband\'s return, embodying the emotional depth of family relations during hardship.""The Mother is a character who shares a tender moment with her husband and daughter, representing familial love and connection.""The Mother is a character who exhibits anxiety and hope as she awaits her husband\'s return, embodying the emotional depth of family relations during hardship.""The Mother is a character who shares a tender moment with her husband and daughter, representing familial love and connection."', 'source_id': 'chunk-da2472b4ef2a535b62908f14d0fb0ca9chunk-83ac129dc9b56f84c46760d153d68e93chunk-54bdd22db1f84a965b5f4c06c9216d8d'}> -2024-10-30 06:44:50,484 - lightrag - INFO - _do_upsert:query: - MERGE (n:`THE MOTHER`) - SET n += $properties - RETURN n - :result:{'entity_type': '"PERSON"', 'description': '"The Mother exemplifies apprehension and hope regarding her husband\'s return, depicting the emotional burden of waiting and uncertainty.""The Mother is a character associated with the family dynamics during the Christmas scene, though her actions are not explicitly detailed.""The Mother is depicted as a comely matron, who enjoys the laughter and chaos with her children, showing warmth and family value.""The Mother is a character who exhibits anxiety and hope as she awaits her husband\'s return, embodying the emotional depth of family relations during hardship.""The Mother is a character who shares a tender moment with her husband and daughter, representing familial love and connection.""The Mother is a character who exhibits anxiety and hope as she awaits her husband\'s return, embodying the emotional depth of family relations during hardship.""The Mother is a character who shares a tender moment with her husband and daughter, representing familial love and connection.""The Mother is a character who exhibits anxiety and hope as she awaits her husband\'s return, embodying the emotional depth of family relations during hardship.""The Mother is a character who shares a tender moment with her husband and daughter, representing familial love and connection.""The Mother is a character who exhibits anxiety and hope as she awaits her husband\'s return, embodying the emotional depth of family relations during hardship.""The Mother is a character who shares a tender moment with her husband and daughter, representing familial love and connection.""The Mother is a character who exhibits anxiety and hope as she awaits her husband\'s return, embodying the emotional depth of family relations during hardship.""The Mother is a character who shares a tender moment with her husband and daughter, representing familial love and connection."', 'source_id': 'chunk-54bdd22db1f84a965b5f4c06c9216d8dchunk-da2472b4ef2a535b62908f14d0fb0ca9chunk-83ac129dc9b56f84c46760d153d68e93'} -2024-10-30 06:44:50,613 - lightrag - INFO - get_node:query:MATCH (n:`CITY`) RETURN n:result:"The City represents the urban setting where Scrooge witnesses the indifference of its inhabitants regarding his death.""The City represents the urban setting where Scrooge\'s transformation takes place, symbolizing the broader society impacted by his changes.""The City serves as a backdrop where various scenes unfold, representing the hustle of life and economic concerns.""The City symbolizes the urban setting where Scrooge\'s transformation takes place, primarily depicting the contrast between Scrooge\'s isolation and the outer world filled with festivities.""The City serves as a backdrop where various scenes unfold, representing the hustle of life and economic concerns.""The City symbolizes the urban setting where Scrooge\'s transformation takes place, primarily depicting the contrast between Scrooge\'s isolation and the outer world filled with festivities.""The City serves as a backdrop where various scenes unfold, representing the hustle of life and economic concerns.""The City symbolizes the urban setting where Scrooge\'s transformation takes place, primarily depicting the contrast between Scrooge\'s isolation and the outer world filled with festivities.""The City serves as a backdrop where various scenes unfold, representing the hustle of life and economic concerns.""The City symbolizes the urban setting where Scrooge\'s transformation takes place, primarily depicting the contrast between Scrooge\'s isolation and the outer world filled with festivities."', 'source_id': 'chunk-94bea83e7153fc2064aa382b494936a1chunk-843b5b2f944c7413d9ca876e2e2f151fchunk-02baee20cc9463dbe08170a8e1043e32'}> -2024-10-30 06:44:50,746 - lightrag - INFO - _do_upsert:query: - MERGE (n:`CITY`) - SET n += $properties - RETURN n - :result:{'entity_type': '"GEO"', 'description': '"The City refers to a generic location embodying the community and societal norms, with which Scrooge has a complex relationship.""The City represents the urban setting where Scrooge witnesses the indifference of its inhabitants regarding his death.""The City represents the urban setting where Scrooge\'s transformation takes place, symbolizing the broader society impacted by his changes.""The City serves as a backdrop where various scenes unfold, representing the hustle of life and economic concerns.""The City symbolizes the urban setting where Scrooge\'s transformation takes place, primarily depicting the contrast between Scrooge\'s isolation and the outer world filled with festivities.""The City serves as a backdrop where various scenes unfold, representing the hustle of life and economic concerns.""The City symbolizes the urban setting where Scrooge\'s transformation takes place, primarily depicting the contrast between Scrooge\'s isolation and the outer world filled with festivities.""The City serves as a backdrop where various scenes unfold, representing the hustle of life and economic concerns.""The City symbolizes the urban setting where Scrooge\'s transformation takes place, primarily depicting the contrast between Scrooge\'s isolation and the outer world filled with festivities.""The City serves as a backdrop where various scenes unfold, representing the hustle of life and economic concerns.""The City symbolizes the urban setting where Scrooge\'s transformation takes place, primarily depicting the contrast between Scrooge\'s isolation and the outer world filled with festivities.""The City serves as a backdrop where various scenes unfold, representing the hustle of life and economic concerns.""The City symbolizes the urban setting where Scrooge\'s transformation takes place, primarily depicting the contrast between Scrooge\'s isolation and the outer world filled with festivities."', 'source_id': 'chunk-02baee20cc9463dbe08170a8e1043e32chunk-843b5b2f944c7413d9ca876e2e2f151fchunk-94bea83e7153fc2064aa382b494936a1'} -2024-10-30 06:44:50,874 - lightrag - INFO - get_node:query:MATCH (n:`SPIRIT`) RETURN n:result:chunk-e7637ff18c5ded77a68cce0a87883fadchunk-843b5b2f944c7413d9ca876e2e2f151fchunk-83ac129dc9b56f84c46760d153d68e93chunk-02baee20cc9463dbe08170a8e1043e32chunk-bb21d58d36c6306fd8810ddd51c4a971'}> -2024-10-30 06:44:51,004 - lightrag - INFO - _do_upsert:query: - MERGE (n:`SPIRIT`) - SET n += $properties - RETURN n - :result:{'entity_type': '"EVENT"', 'description': '"The Spirit refers to the Ghost of Christmas Present, which embodies the essence of the Christmas season and serves as a guide for Scrooge.""The Spirit represents a ghostly figure guiding Scrooge through reflections related to a death, illustrating lessons about life and mortality.""The Spirit represents a supernatural being guiding Scrooge through lessons about the consequences of his actions and the future.""The Spirit represents a supernatural entity guiding Scrooge and teaching him lessons about compassion and humanity."The "Spirit" represents a multifaceted supernatural entity that plays a crucial role in guiding Ebenezer Scrooge through profound reflections on his life, death, and human emotions. Central to the narrative is the Spirit\'s embodiment of the essence of Marley, which interacts with Scrooge to highlight themes related to the afterlife and unresolved issues. The Spirit manifests as various figures, most notably the Ghost of Christmas Present, who personifies the themes of generosity, merriment, and the true spirit of the Christmas season.\n\nThroughout Scrooge\'s journey, the Spirit serves as a guide, leading him through memories of his past, reflecting his former self and the influence of time on his character. The entity illustrates important lessons about compassion, social responsibility, and the consequences of his actions, urging Scrooge to confront societal issues and fostering self-awareness.\n\nThe Spirit also emphasizes the somber aspects of life, illustrating lessons about mortality and the inevitability of death, prompting Scrooge to reflect on the implications of his life choices. Overall, the Spirit encapsulates the intersection of compassion, humanity, and the moral lessons inherent in the experience of life, serving as a catalyst for Scrooge\'s transformation and awakening.', 'source_id': 'chunk-e7637ff18c5ded77a68cce0a87883fadchunk-02baee20cc9463dbe08170a8e1043e32chunk-1aa50206d02ed89418f65f97c6441d1cchunk-83ac129dc9b56f84c46760d153d68e93chunk-843b5b2f944c7413d9ca876e2e2f151fchunk-bb21d58d36c6306fd8810ddd51c4a971'} -2024-10-30 06:44:51,132 - lightrag - INFO - get_node:query:MATCH (n:`MISTLETOE`) RETURN n:result:"Mistletoe is a plant used as a Christmas decoration, symbolizing love and goodwill during the holiday season.""Mistletoe is a plant used as a Christmas decoration, symbolizing love and goodwill during the holiday season.""Mistletoe is a plant used as a Christmas decoration, symbolizing love and goodwill during the holiday season.""Mistletoe is a traditional plant used for decoration during Christmas, symbolizing joy and a festive spirit.""Mistletoe is described in the context of Christmas decorations, often used for kissing and holiday celebrations.""Mistletoe is described in the context of Christmas decorations, often used for kissing and holiday celebrations.""Mistletoe is described in the context of Christmas decorations, often used for kissing and holiday celebrations.""Mistletoe is described in the context of Christmas decorations, often used for kissing and holiday celebrations."', 'source_id': 'chunk-843b5b2f944c7413d9ca876e2e2f151fchunk-99b0ec7f7e006561352b5d65e849611d'}> -2024-10-30 06:44:51,262 - lightrag - INFO - _do_upsert:query: - MERGE (n:`MISTLETOE`) - SET n += $properties - RETURN n - :result:{'entity_type': '"ORGANIZATION"', 'description': '"Mistletoe is a plant used as a Christmas decoration, symbolizing love and goodwill during the holiday season.""Mistletoe is a plant used as a Christmas decoration, symbolizing love and goodwill during the holiday season.""Mistletoe is a plant used as a Christmas decoration, symbolizing love and goodwill during the holiday season.""Mistletoe is a plant used as a Christmas decoration, symbolizing love and goodwill during the holiday season.""Mistletoe is a plant used as a Christmas decoration, symbolizing love and goodwill during the holiday season.""Mistletoe is a traditional plant used for decoration during Christmas, symbolizing joy and a festive spirit.""Mistletoe is described in the context of Christmas decorations, often used for kissing and holiday celebrations.""Mistletoe is described in the context of Christmas decorations, often used for kissing and holiday celebrations.""Mistletoe is described in the context of Christmas decorations, often used for kissing and holiday celebrations.""Mistletoe is described in the context of Christmas decorations, often used for kissing and holiday celebrations.""Mistletoe is described in the context of Christmas decorations, often used for kissing and holiday celebrations."', 'source_id': 'chunk-99b0ec7f7e006561352b5d65e849611dchunk-843b5b2f944c7413d9ca876e2e2f151f'} -2024-10-30 06:44:51,392 - lightrag - INFO - get_node:query:MATCH (n:`RED BERRIES`) RETURN n:result:"Red Berries are decorative elements commonly used during Christmas decorations, adding color and festivity.""Red Berries are decorative elements commonly used during Christmas decorations, adding color and festivity.""Red Berries are decorative elements commonly used during Christmas decorations, adding color and festivity.""Red Berries are festive decorations representing the colors of Christmas, enhancing the holiday atmosphere.""Red Berries are festive decorations representing the colors of Christmas, enhancing the holiday atmosphere.""Red Berries are festive decorations representing the colors of Christmas, enhancing the holiday atmosphere.""Red Berries are festive decorations representing the colors of Christmas, enhancing the holiday atmosphere."', 'source_id': 'chunk-843b5b2f944c7413d9ca876e2e2f151fchunk-99b0ec7f7e006561352b5d65e849611d'}> -2024-10-30 06:44:51,522 - lightrag - INFO - _do_upsert:query: - MERGE (n:`RED BERRIES`) - SET n += $properties - RETURN n - :result:{'entity_type': '"ORGANIZATION"', 'description': '"Red Berries are decorative elements commonly used during Christmas decorations, adding color and festivity.""Red Berries are decorative elements commonly used during Christmas decorations, adding color and festivity.""Red Berries are decorative elements commonly used during Christmas decorations, adding color and festivity.""Red Berries are decorative elements commonly used during Christmas decorations, adding color and festivity.""Red Berries are decorative elements commonly used during Christmas decorations, adding color and festivity.""Red Berries are festive decorations representing the colors of Christmas, enhancing the holiday atmosphere.""Red Berries are festive decorations representing the colors of Christmas, enhancing the holiday atmosphere.""Red Berries are festive decorations representing the colors of Christmas, enhancing the holiday atmosphere.""Red Berries are festive decorations representing the colors of Christmas, enhancing the holiday atmosphere.""Red Berries are festive decorations representing the colors of Christmas, enhancing the holiday atmosphere."', 'source_id': 'chunk-99b0ec7f7e006561352b5d65e849611dchunk-843b5b2f944c7413d9ca876e2e2f151f'} -2024-10-30 06:44:51,651 - lightrag - INFO - get_node:query:MATCH (n:`TURKEYS`) RETURN n:result:"Turkeys represent a common food item associated with the Christmas feast, highlighting the culinary aspects of the celebration.""Turkeys are food items prominently featured in Christmas meals, representing a festive celebration of the holiday.""Turkeys are part of the Christmas feast, symbolizing the abundance and sharing associated with the holiday.""Turkeys are food items prominently featured in Christmas meals, representing a festive celebration of the holiday.""Turkeys are part of the Christmas feast, symbolizing the abundance and sharing associated with the holiday.""Turkeys are food items prominently featured in Christmas meals, representing a festive celebration of the holiday.""Turkeys are part of the Christmas feast, symbolizing the abundance and sharing associated with the holiday.""Turkeys are food items prominently featured in Christmas meals, representing a festive celebration of the holiday.""Turkeys are part of the Christmas feast, symbolizing the abundance and sharing associated with the holiday."', 'source_id': 'chunk-843b5b2f944c7413d9ca876e2e2f151fchunk-99b0ec7f7e006561352b5d65e849611d'}> -2024-10-30 06:44:51,786 - lightrag - INFO - _do_upsert:query: - MERGE (n:`TURKEYS`) - SET n += $properties - RETURN n - :result:{'entity_type': '"ORGANIZATION"', 'description': '"Turkeys are described as part of a lavish spread that symbolizes the abundance and joy of the Christmas season.""Turkeys represent a common food item associated with the Christmas feast, highlighting the culinary aspects of the celebration.""Turkeys are food items prominently featured in Christmas meals, representing a festive celebration of the holiday.""Turkeys are part of the Christmas feast, symbolizing the abundance and sharing associated with the holiday.""Turkeys are food items prominently featured in Christmas meals, representing a festive celebration of the holiday.""Turkeys are part of the Christmas feast, symbolizing the abundance and sharing associated with the holiday.""Turkeys are food items prominently featured in Christmas meals, representing a festive celebration of the holiday.""Turkeys are part of the Christmas feast, symbolizing the abundance and sharing associated with the holiday.""Turkeys are food items prominently featured in Christmas meals, representing a festive celebration of the holiday.""Turkeys are part of the Christmas feast, symbolizing the abundance and sharing associated with the holiday.""Turkeys are food items prominently featured in Christmas meals, representing a festive celebration of the holiday.""Turkeys are part of the Christmas feast, symbolizing the abundance and sharing associated with the holiday."', 'source_id': 'chunk-99b0ec7f7e006561352b5d65e849611dchunk-843b5b2f944c7413d9ca876e2e2f151f'} -2024-10-30 06:44:51,914 - lightrag - INFO - get_node:query:MATCH (n:`POULTRY`) RETURN n:result:"Poultry is another aspect of the Christmas feast, representing the various traditions of holiday meals.""Poultry is another aspect of the Christmas feast, representing the various traditions of holiday meals.""Poultry is another aspect of the Christmas feast, representing the various traditions of holiday meals.""Poultry refers to various birds used for Christmas meals, representing the culinary traditions of the holiday.""Poultry represents a variety of birds that are often prepared for Christmas dinners, enhancing the festive festivities.""Poultry represents a variety of birds that are often prepared for Christmas dinners, enhancing the festive festivities.""Poultry represents a variety of birds that are often prepared for Christmas dinners, enhancing the festive festivities.""Poultry represents a variety of birds that are often prepared for Christmas dinners, enhancing the festive festivities."', 'source_id': 'chunk-843b5b2f944c7413d9ca876e2e2f151fchunk-99b0ec7f7e006561352b5d65e849611d'}> -2024-10-30 06:44:52,047 - lightrag - INFO - _do_upsert:query: - MERGE (n:`POULTRY`) - SET n += $properties - RETURN n - :result:{'entity_type': '"ORGANIZATION"', 'description': '"Poultry is another aspect of the Christmas feast, representing the various traditions of holiday meals.""Poultry is another aspect of the Christmas feast, representing the various traditions of holiday meals.""Poultry is another aspect of the Christmas feast, representing the various traditions of holiday meals.""Poultry is another aspect of the Christmas feast, representing the various traditions of holiday meals.""Poultry is another aspect of the Christmas feast, representing the various traditions of holiday meals.""Poultry refers to various birds used for Christmas meals, representing the culinary traditions of the holiday.""Poultry represents a variety of birds that are often prepared for Christmas dinners, enhancing the festive festivities.""Poultry represents a variety of birds that are often prepared for Christmas dinners, enhancing the festive festivities.""Poultry represents a variety of birds that are often prepared for Christmas dinners, enhancing the festive festivities.""Poultry represents a variety of birds that are often prepared for Christmas dinners, enhancing the festive festivities.""Poultry represents a variety of birds that are often prepared for Christmas dinners, enhancing the festive festivities."', 'source_id': 'chunk-99b0ec7f7e006561352b5d65e849611dchunk-843b5b2f944c7413d9ca876e2e2f151f'} -2024-10-30 06:44:52,172 - lightrag - INFO - get_node:query:MATCH (n:`MEAT`) RETURN n:result:"Meat refers to a significant part of the Christmas feast, further emphasizing the theme of abundance during the holiday.""Meat refers to a significant part of the Christmas feast, further emphasizing the theme of abundance during the holiday.""Meat refers to a significant part of the Christmas feast, further emphasizing the theme of abundance during the holiday.""Meat serves as a general representation of the food consumed during Christmas celebrations, contributing to the holiday meals.""Meat serves as a general representation of the food consumed during Christmas celebrations, contributing to the holiday meals.""Meat serves as a general representation of the food consumed during Christmas celebrations, contributing to the holiday meals.""Meat serves as a general representation of the food consumed during Christmas celebrations, contributing to the holiday meals."', 'source_id': 'chunk-843b5b2f944c7413d9ca876e2e2f151fchunk-99b0ec7f7e006561352b5d65e849611d'}> -2024-10-30 06:44:52,304 - lightrag - INFO - _do_upsert:query: - MERGE (n:`MEAT`) - SET n += $properties - RETURN n - :result:{'entity_type': '"ORGANIZATION"', 'description': '"Meat refers to a significant part of the Christmas feast, further emphasizing the theme of abundance during the holiday.""Meat refers to a significant part of the Christmas feast, further emphasizing the theme of abundance during the holiday.""Meat refers to a significant part of the Christmas feast, further emphasizing the theme of abundance during the holiday.""Meat refers to a significant part of the Christmas feast, further emphasizing the theme of abundance during the holiday.""Meat refers to a significant part of the Christmas feast, further emphasizing the theme of abundance during the holiday.""Meat serves as a general representation of the food consumed during Christmas celebrations, contributing to the holiday meals.""Meat serves as a general representation of the food consumed during Christmas celebrations, contributing to the holiday meals.""Meat serves as a general representation of the food consumed during Christmas celebrations, contributing to the holiday meals.""Meat serves as a general representation of the food consumed during Christmas celebrations, contributing to the holiday meals.""Meat serves as a general representation of the food consumed during Christmas celebrations, contributing to the holiday meals."', 'source_id': 'chunk-99b0ec7f7e006561352b5d65e849611dchunk-843b5b2f944c7413d9ca876e2e2f151f'} -2024-10-30 06:44:52,433 - lightrag - INFO - get_node:query:MATCH (n:`SAUSAGES`) RETURN n:result:"Sausages are festive foods that complement the traditional Christmas meal, adding to the variety of the feast.""Sausages are festive foods that complement the traditional Christmas meal, adding to the variety of the feast.""Sausages are festive foods that complement the traditional Christmas meal, adding to the variety of the feast.""Sausages are food items mentioned that may be served during Christmas festivities, adding to the variety of traditional foods.""Sausages contribute to the rich variety of foods present at the celebration, reflecting festive abundance.""Sausages are food items mentioned that may be served during Christmas festivities, adding to the variety of traditional foods.""Sausages are food items mentioned that may be served during Christmas festivities, adding to the variety of traditional foods.""Sausages are food items mentioned that may be served during Christmas festivities, adding to the variety of traditional foods."', 'source_id': 'chunk-843b5b2f944c7413d9ca876e2e2f151fchunk-99b0ec7f7e006561352b5d65e849611d'}> -2024-10-30 06:44:52,566 - lightrag - INFO - _do_upsert:query: - MERGE (n:`SAUSAGES`) - SET n += $properties - RETURN n - :result:{'entity_type': '"ORGANIZATION"', 'description': '"Sausages are festive foods that complement the traditional Christmas meal, adding to the variety of the feast.""Sausages are festive foods that complement the traditional Christmas meal, adding to the variety of the feast.""Sausages are festive foods that complement the traditional Christmas meal, adding to the variety of the feast.""Sausages are festive foods that complement the traditional Christmas meal, adding to the variety of the feast.""Sausages are festive foods that complement the traditional Christmas meal, adding to the variety of the feast.""Sausages are food items mentioned that may be served during Christmas festivities, adding to the variety of traditional foods.""Sausages contribute to the rich variety of foods present at the celebration, reflecting festive abundance.""Sausages are food items mentioned that may be served during Christmas festivities, adding to the variety of traditional foods.""Sausages are food items mentioned that may be served during Christmas festivities, adding to the variety of traditional foods.""Sausages are food items mentioned that may be served during Christmas festivities, adding to the variety of traditional foods.""Sausages are food items mentioned that may be served during Christmas festivities, adding to the variety of traditional foods."', 'source_id': 'chunk-99b0ec7f7e006561352b5d65e849611dchunk-843b5b2f944c7413d9ca876e2e2f151f'} -2024-10-30 06:44:52,696 - lightrag - INFO - get_node:query:MATCH (n:`OYSTERS`) RETURN n:result:"Oysters are considered delicacies that can enhance special occasions such as Christmas, indicating celebratory dining.""Oysters are considered delicacies that can enhance special occasions such as Christmas, indicating celebratory dining.""Oysters are considered delicacies that can enhance special occasions such as Christmas, indicating celebratory dining.""Oysters represent a delicacy often served during Christmas, symbolizing luxury and celebration.""Oysters represent a delicacy often served during Christmas, symbolizing luxury and celebration.""Oysters represent a delicacy often served during Christmas, symbolizing luxury and celebration.""Oysters represent a delicacy often served during Christmas, symbolizing luxury and celebration."', 'source_id': 'chunk-843b5b2f944c7413d9ca876e2e2f151fchunk-99b0ec7f7e006561352b5d65e849611d'}> -2024-10-30 06:44:52,824 - lightrag - INFO - _do_upsert:query: - MERGE (n:`OYSTERS`) - SET n += $properties - RETURN n - :result:{'entity_type': '"ORGANIZATION"', 'description': '"Oysters are considered delicacies that can enhance special occasions such as Christmas, indicating celebratory dining.""Oysters are considered delicacies that can enhance special occasions such as Christmas, indicating celebratory dining.""Oysters are considered delicacies that can enhance special occasions such as Christmas, indicating celebratory dining.""Oysters are considered delicacies that can enhance special occasions such as Christmas, indicating celebratory dining.""Oysters are considered delicacies that can enhance special occasions such as Christmas, indicating celebratory dining.""Oysters represent a delicacy often served during Christmas, symbolizing luxury and celebration.""Oysters represent a delicacy often served during Christmas, symbolizing luxury and celebration.""Oysters represent a delicacy often served during Christmas, symbolizing luxury and celebration.""Oysters represent a delicacy often served during Christmas, symbolizing luxury and celebration.""Oysters represent a delicacy often served during Christmas, symbolizing luxury and celebration."', 'source_id': 'chunk-99b0ec7f7e006561352b5d65e849611dchunk-843b5b2f944c7413d9ca876e2e2f151f'} -2024-10-30 06:44:52,951 - lightrag - INFO - get_node:query:MATCH (n:`PIES`) RETURN n:result:"Pies are a traditional dessert during the Christmas season, embodying the spirit of sharing and celebration.""Pies are a traditional dessert during the Christmas season, embodying the spirit of sharing and celebration.""Pies are a traditional dessert during the Christmas season, embodying the spirit of sharing and celebration.""Pies, often sweet, are traditional desserts served during Christmas, symbolizing festive dessert offerings.""Pies, often sweet, are traditional desserts served during Christmas, symbolizing festive dessert offerings.""Pies, often sweet, are traditional desserts served during Christmas, symbolizing festive dessert offerings.""Pies, often sweet, are traditional desserts served during Christmas, symbolizing festive dessert offerings."', 'source_id': 'chunk-843b5b2f944c7413d9ca876e2e2f151fchunk-99b0ec7f7e006561352b5d65e849611d'}> -2024-10-30 06:44:53,079 - lightrag - INFO - _do_upsert:query: - MERGE (n:`PIES`) - SET n += $properties - RETURN n - :result:{'entity_type': '"ORGANIZATION"', 'description': '"Pies are a traditional dessert during the Christmas season, embodying the spirit of sharing and celebration.""Pies are a traditional dessert during the Christmas season, embodying the spirit of sharing and celebration.""Pies are a traditional dessert during the Christmas season, embodying the spirit of sharing and celebration.""Pies are a traditional dessert during the Christmas season, embodying the spirit of sharing and celebration.""Pies are a traditional dessert during the Christmas season, embodying the spirit of sharing and celebration.""Pies, often sweet, are traditional desserts served during Christmas, symbolizing festive dessert offerings.""Pies, often sweet, are traditional desserts served during Christmas, symbolizing festive dessert offerings.""Pies, often sweet, are traditional desserts served during Christmas, symbolizing festive dessert offerings.""Pies, often sweet, are traditional desserts served during Christmas, symbolizing festive dessert offerings.""Pies, often sweet, are traditional desserts served during Christmas, symbolizing festive dessert offerings."', 'source_id': 'chunk-99b0ec7f7e006561352b5d65e849611dchunk-843b5b2f944c7413d9ca876e2e2f151f'} -2024-10-30 06:44:53,204 - lightrag - INFO - get_node:query:MATCH (n:`PUDDINGS`) RETURN n:result:"Puddings are a classic Christmas dessert, symbolizing warmth and indulgence during the holiday.""Puddings are a classic Christmas dessert, symbolizing warmth and indulgence during the holiday.""Puddings are a classic Christmas dessert, symbolizing warmth and indulgence during the holiday.""Puddings are showcased as a traditional dessert during Christmas celebrations, central to holiday meals.""Puddings are showcased as a traditional dessert during Christmas celebrations, central to holiday meals.""Puddings are showcased as a traditional dessert during Christmas celebrations, central to holiday meals.""Puddings are showcased as a traditional dessert during Christmas celebrations, central to holiday meals."', 'source_id': 'chunk-843b5b2f944c7413d9ca876e2e2f151fchunk-99b0ec7f7e006561352b5d65e849611d'}> -2024-10-30 06:44:53,340 - lightrag - INFO - _do_upsert:query: - MERGE (n:`PUDDINGS`) - SET n += $properties - RETURN n - :result:{'entity_type': '"ORGANIZATION"', 'description': '"Puddings are a classic Christmas dessert, symbolizing warmth and indulgence during the holiday.""Puddings are a classic Christmas dessert, symbolizing warmth and indulgence during the holiday.""Puddings are a classic Christmas dessert, symbolizing warmth and indulgence during the holiday.""Puddings are a classic Christmas dessert, symbolizing warmth and indulgence during the holiday.""Puddings are a classic Christmas dessert, symbolizing warmth and indulgence during the holiday.""Puddings are showcased as a traditional dessert during Christmas celebrations, central to holiday meals.""Puddings are showcased as a traditional dessert during Christmas celebrations, central to holiday meals.""Puddings are showcased as a traditional dessert during Christmas celebrations, central to holiday meals.""Puddings are showcased as a traditional dessert during Christmas celebrations, central to holiday meals.""Puddings are showcased as a traditional dessert during Christmas celebrations, central to holiday meals."', 'source_id': 'chunk-99b0ec7f7e006561352b5d65e849611dchunk-843b5b2f944c7413d9ca876e2e2f151f'} -2024-10-30 06:44:53,469 - lightrag - INFO - get_node:query:MATCH (n:`FRUIT`) RETURN n:result:"Fruit represents a staple part of the Christmas spread, emphasizing freshness and the joy of sharing.""Fruit represents a staple part of the Christmas spread, emphasizing freshness and the joy of sharing.""Fruit represents a staple part of the Christmas spread, emphasizing freshness and the joy of sharing.""Fruit represents the fresh produce that accompanies holiday meals, bringing color and variety to the Christmas table.""Fruit represents the fresh produce that accompanies holiday meals, bringing color and variety to the Christmas table.""Fruit represents the fresh produce that accompanies holiday meals, bringing color and variety to the Christmas table.""Fruit represents the fresh produce that accompanies holiday meals, bringing color and variety to the Christmas table."', 'source_id': 'chunk-843b5b2f944c7413d9ca876e2e2f151fchunk-99b0ec7f7e006561352b5d65e849611d'}> -2024-10-30 06:44:53,598 - lightrag - INFO - _do_upsert:query: - MERGE (n:`FRUIT`) - SET n += $properties - RETURN n - :result:{'entity_type': '"ORGANIZATION"', 'description': '"Fruit represents a staple part of the Christmas spread, emphasizing freshness and the joy of sharing.""Fruit represents a staple part of the Christmas spread, emphasizing freshness and the joy of sharing.""Fruit represents a staple part of the Christmas spread, emphasizing freshness and the joy of sharing.""Fruit represents a staple part of the Christmas spread, emphasizing freshness and the joy of sharing.""Fruit represents a staple part of the Christmas spread, emphasizing freshness and the joy of sharing.""Fruit represents the fresh produce that accompanies holiday meals, bringing color and variety to the Christmas table.""Fruit represents the fresh produce that accompanies holiday meals, bringing color and variety to the Christmas table.""Fruit represents the fresh produce that accompanies holiday meals, bringing color and variety to the Christmas table.""Fruit represents the fresh produce that accompanies holiday meals, bringing color and variety to the Christmas table.""Fruit represents the fresh produce that accompanies holiday meals, bringing color and variety to the Christmas table."', 'source_id': 'chunk-99b0ec7f7e006561352b5d65e849611dchunk-843b5b2f944c7413d9ca876e2e2f151f'} -2024-10-30 06:44:53,727 - lightrag - INFO - get_node:query:MATCH (n:`PUNCH`) RETURN n:result:"Punch is a festive beverage that is often served during Christmas celebrations, adding to the holiday spirit.""Punch is a festive beverage that is often served during Christmas celebrations, adding to the holiday spirit.""Punch is a festive beverage that is often served during Christmas celebrations, adding to the holiday spirit.""Punch refers to a festive drink that is often served at Christmas gatherings, contributing to the celebration.""Punch refers to a festive drink that is often served at Christmas gatherings, contributing to the celebration.""Punch refers to a festive drink that is often served at Christmas gatherings, contributing to the celebration.""Punch refers to a festive drink that is often served at Christmas gatherings, contributing to the celebration."', 'source_id': 'chunk-843b5b2f944c7413d9ca876e2e2f151fchunk-99b0ec7f7e006561352b5d65e849611d'}> -2024-10-30 06:44:53,859 - lightrag - INFO - _do_upsert:query: - MERGE (n:`PUNCH`) - SET n += $properties - RETURN n - :result:{'entity_type': '"ORGANIZATION"', 'description': '"Punch is a festive beverage that is often served during Christmas celebrations, adding to the holiday spirit.""Punch is a festive beverage that is often served during Christmas celebrations, adding to the holiday spirit.""Punch is a festive beverage that is often served during Christmas celebrations, adding to the holiday spirit.""Punch is a festive beverage that is often served during Christmas celebrations, adding to the holiday spirit.""Punch is a festive beverage that is often served during Christmas celebrations, adding to the holiday spirit.""Punch refers to a festive drink that is often served at Christmas gatherings, contributing to the celebration.""Punch refers to a festive drink that is often served at Christmas gatherings, contributing to the celebration.""Punch refers to a festive drink that is often served at Christmas gatherings, contributing to the celebration.""Punch refers to a festive drink that is often served at Christmas gatherings, contributing to the celebration.""Punch refers to a festive drink that is often served at Christmas gatherings, contributing to the celebration."', 'source_id': 'chunk-99b0ec7f7e006561352b5d65e849611dchunk-843b5b2f944c7413d9ca876e2e2f151f'} -2024-10-30 06:44:53,987 - lightrag - INFO - get_node:query:MATCH (n:`ANTIQUE SCABBARD`) RETURN n:result: -2024-10-30 06:44:54,118 - lightrag - INFO - _do_upsert:query: - MERGE (n:`ANTIQUE SCABBARD`) - SET n += $properties - RETURN n - :result:{'entity_type': '"ORGANIZATION"', 'description': '"The Antique Scabbard is a symbolic object seen on the Ghost, representing the notion of protection and history."', 'source_id': 'chunk-843b5b2f944c7413d9ca876e2e2f151f'} -2024-10-30 06:44:54,242 - lightrag - INFO - get_node:query:MATCH (n:`GREAT BRITAIN`) RETURN n:result:"Great Britain is a location mentioned as having chimneys that appear to be catching fire and is the setting for a gloomy climate during Christmas time.""Great Britain is a location mentioned as having chimneys that appear to be catching fire and is the setting for a gloomy climate during Christmas time.""Great Britain is a location mentioned as having chimneys that appear to be catching fire and is the setting for a gloomy climate during Christmas time.""Great Britain is referenced as a location suffering from severe weather, which contrasts with the cheerful activities of its people during Christmas."', 'source_id': 'chunk-99b0ec7f7e006561352b5d65e849611d'}> -2024-10-30 06:44:54,378 - lightrag - INFO - _do_upsert:query: - MERGE (n:`GREAT BRITAIN`) - SET n += $properties - RETURN n - :result:{'entity_type': '"GEO"', 'description': '"Great Britain is a location mentioned as having chimneys that appear to be catching fire and is the setting for a gloomy climate during Christmas time.""Great Britain is a location mentioned as having chimneys that appear to be catching fire and is the setting for a gloomy climate during Christmas time.""Great Britain is a location mentioned as having chimneys that appear to be catching fire and is the setting for a gloomy climate during Christmas time.""Great Britain is a location mentioned as having chimneys that appear to be catching fire and is the setting for a gloomy climate during Christmas time.""Great Britain is a location mentioned as having chimneys that appear to be catching fire and is the setting for a gloomy climate during Christmas time.""Great Britain is referenced as a location suffering from severe weather, which contrasts with the cheerful activities of its people during Christmas."', 'source_id': 'chunk-99b0ec7f7e006561352b5d65e849611d'} -2024-10-30 06:44:54,514 - lightrag - INFO - get_node:query:MATCH (n:`GROCERS'`) RETURN n:result: -2024-10-30 06:44:54,642 - lightrag - INFO - _do_upsert:query: - MERGE (n:`GROCERS'`) - SET n += $properties - RETURN n - :result:{'entity_type': '"ORGANIZATION"', 'description': '"Grocers\' is an organization described as nearly closed yet bustling with eager customers, showcasing a variety of goods typical for Christmas time."', 'source_id': 'chunk-99b0ec7f7e006561352b5d65e849611d'} -2024-10-30 06:44:54,768 - lightrag - INFO - get_node:query:MATCH (n:`PEOPLE`) RETURN n:result: -2024-10-30 06:44:54,905 - lightrag - INFO - _do_upsert:query: - MERGE (n:`PEOPLE`) - SET n += $properties - RETURN n - :result:{'entity_type': '"ORGANIZATION"', 'description': '"The People represent the community celebrating Christmas, exhibiting joy, humor, and eagerness amidst the dreary weather."', 'source_id': 'chunk-99b0ec7f7e006561352b5d65e849611d'} -2024-10-30 06:44:55,034 - lightrag - INFO - get_node:query:MATCH (n:`GEESE`) RETURN n:result:"Geese are also traditional food items that may be included in Christmas feasts, adding to the holiday cheer.""Geese are also traditional food items that may be included in Christmas feasts, adding to the holiday cheer.""Geese are also traditional food items that may be included in Christmas feasts, adding to the holiday cheer.""Geese are another traditional food item during Christmas, contributing to the festive dining experiences.""Geese are included in the festive feast, representing the bounty and celebration associated with Christmas."', 'source_id': 'chunk-843b5b2f944c7413d9ca876e2e2f151fchunk-99b0ec7f7e006561352b5d65e849611d'}> -2024-10-30 06:44:55,170 - lightrag - INFO - _do_upsert:query: - MERGE (n:`GEESE`) - SET n += $properties - RETURN n - :result:{'entity_type': '"ORGANIZATION"', 'description': '"Geese are also traditional food items that may be included in Christmas feasts, adding to the holiday cheer.""Geese are also traditional food items that may be included in Christmas feasts, adding to the holiday cheer.""Geese are also traditional food items that may be included in Christmas feasts, adding to the holiday cheer.""Geese are also traditional food items that may be included in Christmas feasts, adding to the holiday cheer.""Geese are also traditional food items that may be included in Christmas feasts, adding to the holiday cheer.""Geese are another traditional food item during Christmas, contributing to the festive dining experiences.""Geese are included in the festive feast, representing the bounty and celebration associated with Christmas."', 'source_id': 'chunk-99b0ec7f7e006561352b5d65e849611dchunk-843b5b2f944c7413d9ca876e2e2f151f'} -2024-10-30 06:44:55,296 - lightrag - INFO - get_node:query:MATCH (n:`BRAWN`) RETURN n:result:"Brawn refers to a traditional meat dish that may be part of Christmas festivities, highlighting culinary practices of the season.""Brawn refers to a traditional meat dish that may be part of Christmas festivities, highlighting culinary practices of the season.""Brawn refers to a traditional meat dish that may be part of Christmas festivities, highlighting culinary practices of the season.""Brawn refers to a traditional meat dish that may be part of Christmas festivities, highlighting culinary practices of the season."', 'source_id': 'chunk-843b5b2f944c7413d9ca876e2e2f151fchunk-99b0ec7f7e006561352b5d65e849611d'}> -2024-10-30 06:44:55,430 - lightrag - INFO - _do_upsert:query: - MERGE (n:`BRAWN`) - SET n += $properties - RETURN n - :result:{'entity_type': '"ORGANIZATION"', 'description': '"Brawn is a type of meat included in the festive gathering, representing the richness of the Christmas feast.""Brawn refers to a traditional meat dish that may be part of Christmas festivities, highlighting culinary practices of the season.""Brawn refers to a traditional meat dish that may be part of Christmas festivities, highlighting culinary practices of the season.""Brawn refers to a traditional meat dish that may be part of Christmas festivities, highlighting culinary practices of the season.""Brawn refers to a traditional meat dish that may be part of Christmas festivities, highlighting culinary practices of the season.""Brawn refers to a traditional meat dish that may be part of Christmas festivities, highlighting culinary practices of the season."', 'source_id': 'chunk-99b0ec7f7e006561352b5d65e849611dchunk-843b5b2f944c7413d9ca876e2e2f151f'} -2024-10-30 06:44:55,558 - lightrag - INFO - get_node:query:MATCH (n:`CITY STREETS`) RETURN n:result: -2024-10-30 06:44:55,688 - lightrag - INFO - _do_upsert:query: - MERGE (n:`CITY STREETS`) - SET n += $properties - RETURN n - :result:{'entity_type': '"GEO"', 'description': '"City Streets are referenced as the setting where people are celebrating and making music, contributing to the festive atmosphere of Christmas morning."', 'source_id': 'chunk-99b0ec7f7e006561352b5d65e849611d'} -2024-10-30 06:44:55,815 - lightrag - INFO - get_node:query:MATCH (n:`SNOW`) RETURN n:result: -2024-10-30 06:44:55,966 - lightrag - INFO - _do_upsert:query: - MERGE (n:`SNOW`) - SET n += $properties - RETURN n - :result:{'entity_type': '"GEO"', 'description': '"Snow is a significant element of the Christmas setting, emphasizing the winter atmosphere and contributing to the imagery of the holiday."', 'source_id': 'chunk-99b0ec7f7e006561352b5d65e849611d'} -2024-10-30 06:44:56,092 - lightrag - INFO - get_node:query:MATCH (n:`PARAPETS`) RETURN n:result: -2024-10-30 06:44:56,221 - lightrag - INFO - _do_upsert:query: - MERGE (n:`PARAPETS`) - SET n += $properties - RETURN n - :result:{'entity_type': '"GEO"', 'description': '"Parapets are structures that people use to engage in playful activities, such as throwing snowballs during Christmas celebrations."', 'source_id': 'chunk-99b0ec7f7e006561352b5d65e849611d'} -2024-10-30 06:44:56,350 - lightrag - INFO - get_node:query:MATCH (n:`SPIRIT OF CHRISTMAS PRESENT`) RETURN n:result: -2024-10-30 06:44:56,482 - lightrag - INFO - _do_upsert:query: - MERGE (n:`SPIRIT OF CHRISTMAS PRESENT`) - SET n += $properties - RETURN n - :result:{'entity_type': '"PERSON"', 'description': '"The Spirit of Christmas Present embodies the spirit of generosity and compassion, showing Scrooge scenes of joy and festivity among the poor."', 'source_id': 'chunk-b0f459f5af1c3a5e0b92cbe4ee48b77b'} -2024-10-30 06:44:56,607 - lightrag - INFO - get_node:query:MATCH (n:`PETER CRATCHIT`) RETURN n:result:chunk-b0f459f5af1c3a5e0b92cbe4ee48b77bchunk-19d72c57ae3408758b18d2568e86dc6bchunk-91572b3cd42786ba4cb2f180ca25cbf4'}> -2024-10-30 06:44:56,738 - lightrag - INFO - _do_upsert:query: - MERGE (n:`PETER CRATCHIT`) - SET n += $properties - RETURN n - :result:{'entity_type': '"PERSON"', 'description': '"Peter Cratchit is Bob\'s son, excited about his clothing and preparing a festive meal, symbolizing youthful innocence and hope.""Peter Cratchit is one of Bob Cratchit\'s children, involved in family dynamics and interactions surrounding Tiny Tim.""Peter Cratchit is one of the Cratchit children, shown to be active and enthusiastic during the Christmas celebration.""Peter Cratchit is the eldest son of Bob and Mrs. Cratchit, who is portrayed as contemplative about his future as he considers a potential job opportunity."Peter Cratchit is the eldest son of Bob and Mrs. Cratchit, characterized by his youthful innocence and enthusiasm. He actively participates in the festive meal preparation, expressing excitement about dressing up and contributing to the family\'s Christmas celebration. As a member of the Cratchit family, Peter embodies the joy and unity of the household, particularly highlighted during their interactions surrounding Tiny Tim, his ailing younger brother. Additionally, Peter is portrayed as contemplative regarding his future, considering a potential job opportunity. This combination of excitement for the present and reflection on the future underscores his dynamic role within the family, illustrating the themes of hope and resilience amidst their challenges.', 'source_id': 'chunk-91572b3cd42786ba4cb2f180ca25cbf4chunk-19d72c57ae3408758b18d2568e86dc6bchunk-7e2e7ebcc19a53b399dc03aded4743e7chunk-b0f459f5af1c3a5e0b92cbe4ee48b77b'} -2024-10-30 06:44:56,888 - lightrag - INFO - get_node:query:MATCH (n:`THE CRATCHIT HOUSEHOLD`) RETURN n:result: -2024-10-30 06:44:57,017 - lightrag - INFO - _do_upsert:query: - MERGE (n:`THE CRATCHIT HOUSEHOLD`) - SET n += $properties - RETURN n - :result:{'entity_type': '"ORGANIZATION"', 'description': '"The Cratchit Household represents a loving family unit, managing to find joy despite their financial struggles."', 'source_id': 'chunk-b0f459f5af1c3a5e0b92cbe4ee48b77b'} -2024-10-30 06:44:57,143 - lightrag - INFO - get_node:query:MATCH (n:`CHRISTMAS DAY`) RETURN n:result:"Christmas Day is a significant holiday that marks the time of Scrooge\'s revelation and intent to change.""Christmas Day is celebrated by the Cratchit family with a communal meal and expressions of joy and togetherness, highlighting the importance of family and gratitude.""Christmas Day serves as the central event around which the family gathers and reflects on their feelings towards Scrooge.""Christmas Day is portrayed as a day of celebration and gathering, emphasizing themes of togetherness and generosity.""Christmas Day serves as a central event for the gathering of the Cratchit family, filled with mixed feelings about their employer, Scrooge.""Christmas Day serves as the backdrop for Scrooge\'s transformation, representing joy, celebration, and new beginnings.""Christmas Day is portrayed as a day of celebration and gathering, emphasizing themes of togetherness and generosity.""Christmas Day serves as a central event for the gathering of the Cratchit family, filled with mixed feelings about their employer, Scrooge.""Christmas Day serves as the backdrop for Scrooge\'s transformation, representing joy, celebration, and new beginnings.""Christmas Day is portrayed as a day of celebration and gathering, emphasizing themes of togetherness and generosity.""Christmas Day serves as a central event for the gathering of the Cratchit family, filled with mixed feelings about their employer, Scrooge.""Christmas Day serves as the backdrop for Scrooge\'s transformation, representing joy, celebration, and new beginnings.""Christmas Day is portrayed as a day of celebration and gathering, emphasizing themes of togetherness and generosity.""Christmas Day serves as a central event for the gathering of the Cratchit family, filled with mixed feelings about their employer, Scrooge.""Christmas Day serves as the backdrop for Scrooge\'s transformation, representing joy, celebration, and new beginnings."', 'source_id': 'chunk-7e2e7ebcc19a53b399dc03aded4743e7chunk-b0f459f5af1c3a5e0b92cbe4ee48b77bchunk-19d72c57ae3408758b18d2568e86dc6bchunk-90b95db5c53e4364a6bee36b7aa4d70f'}> -2024-10-30 06:44:57,280 - lightrag - INFO - _do_upsert:query: - MERGE (n:`CHRISTMAS DAY`) - SET n += $properties - RETURN n - :result:{'entity_type': '"EVENT"', 'description': '"Christmas Day is a holiday during which the characters express joy and the significance of communal dining.""Christmas Day is a significant holiday that marks the time of Scrooge\'s revelation and intent to change.""Christmas Day is celebrated by the Cratchit family with a communal meal and expressions of joy and togetherness, highlighting the importance of family and gratitude.""Christmas Day serves as the central event around which the family gathers and reflects on their feelings towards Scrooge.""Christmas Day is portrayed as a day of celebration and gathering, emphasizing themes of togetherness and generosity.""Christmas Day serves as a central event for the gathering of the Cratchit family, filled with mixed feelings about their employer, Scrooge.""Christmas Day serves as the backdrop for Scrooge\'s transformation, representing joy, celebration, and new beginnings.""Christmas Day is portrayed as a day of celebration and gathering, emphasizing themes of togetherness and generosity.""Christmas Day serves as a central event for the gathering of the Cratchit family, filled with mixed feelings about their employer, Scrooge.""Christmas Day serves as the backdrop for Scrooge\'s transformation, representing joy, celebration, and new beginnings.""Christmas Day is portrayed as a day of celebration and gathering, emphasizing themes of togetherness and generosity.""Christmas Day serves as a central event for the gathering of the Cratchit family, filled with mixed feelings about their employer, Scrooge.""Christmas Day serves as the backdrop for Scrooge\'s transformation, representing joy, celebration, and new beginnings.""Christmas Day is portrayed as a day of celebration and gathering, emphasizing themes of togetherness and generosity.""Christmas Day serves as a central event for the gathering of the Cratchit family, filled with mixed feelings about their employer, Scrooge.""Christmas Day serves as the backdrop for Scrooge\'s transformation, representing joy, celebration, and new beginnings.""Christmas Day is portrayed as a day of celebration and gathering, emphasizing themes of togetherness and generosity.""Christmas Day serves as a central event for the gathering of the Cratchit family, filled with mixed feelings about their employer, Scrooge.""Christmas Day serves as the backdrop for Scrooge\'s transformation, representing joy, celebration, and new beginnings."', 'source_id': 'chunk-19d72c57ae3408758b18d2568e86dc6bchunk-90b95db5c53e4364a6bee36b7aa4d70fchunk-7e2e7ebcc19a53b399dc03aded4743e7chunk-b0f459f5af1c3a5e0b92cbe4ee48b77b'} -2024-10-30 06:44:57,411 - lightrag - INFO - get_node:query:MATCH (n:`THE GROCER`) RETURN n:result: -2024-10-30 06:44:57,544 - lightrag - INFO - _do_upsert:query: - MERGE (n:`THE GROCER`) - SET n += $properties - RETURN n - :result:{'entity_type': '"PERSON"', 'description': '"The Grocer is depicted as a welcoming figure who interacts with customers in a friendly manner, symbolizing community spirit."', 'source_id': 'chunk-b0f459f5af1c3a5e0b92cbe4ee48b77b'} -2024-10-30 06:44:57,672 - lightrag - INFO - get_node:query:MATCH (n:`THE PEOPLE`) RETURN n:result:"The People refer to the townsfolk whom Scrooge encounters, showcasing the communal spirit of Christmas.""The People refer to the townsfolk whom Scrooge encounters, showcasing the communal spirit of Christmas.""The People refer to the townsfolk whom Scrooge encounters, showcasing the communal spirit of Christmas.""The People refers to the inhabitants of the quarter, characterized by their desperate living conditions and societal challenges.""The People represent the townsfolk who come together in celebration during the Christmas season, highlighting communal joy and participation.""The People represent the various individuals Scrooge encounters during his joyful walk, symbolizing community and shared happiness.""The People refers to the inhabitants of the quarter, characterized by their desperate living conditions and societal challenges.""The People represent the townsfolk who come together in celebration during the Christmas season, highlighting communal joy and participation.""The People refers to the inhabitants of the quarter, characterized by their desperate living conditions and societal challenges.""The People represent the townsfolk who come together in celebration during the Christmas season, highlighting communal joy and participation.""The People refers to the inhabitants of the quarter, characterized by their desperate living conditions and societal challenges.""The People represent the townsfolk who come together in celebration during the Christmas season, highlighting communal joy and participation."', 'source_id': 'chunk-f1a4fbcf1ed86864b9bfd5e8dba4c683chunk-b0f459f5af1c3a5e0b92cbe4ee48b77bchunk-8f738cb25d60a7dab782162d9d0a25ed'}> -2024-10-30 06:44:57,807 - lightrag - INFO - _do_upsert:query: - MERGE (n:`THE PEOPLE`) - SET n += $properties - RETURN n - :result:{'entity_type': '"ORGANIZATION"', 'description': '"The People refer to the townsfolk whom Scrooge encounters, showcasing the communal spirit of Christmas.""The People refer to the townsfolk whom Scrooge encounters, showcasing the communal spirit of Christmas.""The People refer to the townsfolk whom Scrooge encounters, showcasing the communal spirit of Christmas.""The People refer to the townsfolk whom Scrooge encounters, showcasing the communal spirit of Christmas.""The People refer to the townsfolk whom Scrooge encounters, showcasing the communal spirit of Christmas.""The People refers to the inhabitants of the quarter, characterized by their desperate living conditions and societal challenges.""The People represent the townsfolk who come together in celebration during the Christmas season, highlighting communal joy and participation.""The People represent the various individuals Scrooge encounters during his joyful walk, symbolizing community and shared happiness.""The People refers to the inhabitants of the quarter, characterized by their desperate living conditions and societal challenges.""The People represent the townsfolk who come together in celebration during the Christmas season, highlighting communal joy and participation.""The People refers to the inhabitants of the quarter, characterized by their desperate living conditions and societal challenges.""The People represent the townsfolk who come together in celebration during the Christmas season, highlighting communal joy and participation.""The People refers to the inhabitants of the quarter, characterized by their desperate living conditions and societal challenges.""The People represent the townsfolk who come together in celebration during the Christmas season, highlighting communal joy and participation.""The People refers to the inhabitants of the quarter, characterized by their desperate living conditions and societal challenges.""The People represent the townsfolk who come together in celebration during the Christmas season, highlighting communal joy and participation."', 'source_id': 'chunk-f1a4fbcf1ed86864b9bfd5e8dba4c683chunk-8f738cb25d60a7dab782162d9d0a25edchunk-b0f459f5af1c3a5e0b92cbe4ee48b77b'} -2024-10-30 06:44:57,971 - lightrag - INFO - get_node:query:MATCH (n:`THE SPIRIT'S TORCH`) RETURN n:result:"The Spirit\'s Torch is a unique tool used by the Spirit of Christmas Present to sprinkle blessings and create goodwill among people.""The Spirit\'s Torch is a unique tool used by the Spirit of Christmas Present to sprinkle blessings and create goodwill among people.""The Spirit\'s Torch is a unique tool used by the Spirit of Christmas Present to sprinkle blessings and create goodwill among people.""The Spirit\'s Torch symbolizes the joy and magic of the Christmas spirit, illuminating the family\'s happiness despite their hardships.""The Spirit\'s Torch symbolizes the joy and magic of the Christmas spirit, illuminating the family\'s happiness despite their hardships.""The Spirit\'s Torch symbolizes the joy and magic of the Christmas spirit, illuminating the family\'s happiness despite their hardships.""The Spirit\'s Torch symbolizes the joy and magic of the Christmas spirit, illuminating the family\'s happiness despite their hardships."', 'source_id': 'chunk-b0f459f5af1c3a5e0b92cbe4ee48b77bchunk-19d72c57ae3408758b18d2568e86dc6b'}> -2024-10-30 06:44:58,100 - lightrag - INFO - _do_upsert:query: - MERGE (n:`THE SPIRIT'S TORCH`) - SET n += $properties - RETURN n - :result:{'entity_type': '"TECHNOLOGY"', 'description': '"The Spirit\'s Torch is a unique tool used by the Spirit of Christmas Present to sprinkle blessings and create goodwill among people.""The Spirit\'s Torch is a unique tool used by the Spirit of Christmas Present to sprinkle blessings and create goodwill among people.""The Spirit\'s Torch is a unique tool used by the Spirit of Christmas Present to sprinkle blessings and create goodwill among people.""The Spirit\'s Torch is a unique tool used by the Spirit of Christmas Present to sprinkle blessings and create goodwill among people.""The Spirit\'s Torch is a unique tool used by the Spirit of Christmas Present to sprinkle blessings and create goodwill among people.""The Spirit\'s Torch symbolizes the joy and magic of the Christmas spirit, illuminating the family\'s happiness despite their hardships.""The Spirit\'s Torch symbolizes the joy and magic of the Christmas spirit, illuminating the family\'s happiness despite their hardships.""The Spirit\'s Torch symbolizes the joy and magic of the Christmas spirit, illuminating the family\'s happiness despite their hardships.""The Spirit\'s Torch symbolizes the joy and magic of the Christmas spirit, illuminating the family\'s happiness despite their hardships.""The Spirit\'s Torch symbolizes the joy and magic of the Christmas spirit, illuminating the family\'s happiness despite their hardships."', 'source_id': 'chunk-19d72c57ae3408758b18d2568e86dc6bchunk-b0f459f5af1c3a5e0b92cbe4ee48b77b'} -2024-10-30 06:44:58,229 - lightrag - INFO - get_node:query:MATCH (n:`THE BAKER'S SHOP`) RETURN n:result: -2024-10-30 06:44:58,363 - lightrag - INFO - _do_upsert:query: - MERGE (n:`THE BAKER'S SHOP`) - SET n += $properties - RETURN n - :result:{'entity_type': '"ORGANIZATION"', 'description': '"The Baker\'s Shop is a significant location where townspeople gather to procure their meals, indicating a hub of community activity."', 'source_id': 'chunk-b0f459f5af1c3a5e0b92cbe4ee48b77b'} -2024-10-30 06:44:58,489 - lightrag - INFO - get_node:query:MATCH (n:`DINNERS`) RETURN n:result:"Dinners refer to the meals shared by families on Christmas Day, representing the joy and nourishment that bring people together.""Dinners refer to the meals shared by families on Christmas Day, representing the joy and nourishment that bring people together.""Dinners refer to the meals shared by families on Christmas Day, representing the joy and nourishment that bring people together.""Dinners represent the communal and familial gatherings that occur during Christmas, emphasized in the text as significant for enjoyment and sharing."', 'source_id': 'chunk-b0f459f5af1c3a5e0b92cbe4ee48b77b'}> -2024-10-30 06:44:58,620 - lightrag - INFO - _do_upsert:query: - MERGE (n:`DINNERS`) - SET n += $properties - RETURN n - :result:{'entity_type': '"EVENT"', 'description': '"Dinners refer to the meals shared by families on Christmas Day, representing the joy and nourishment that bring people together.""Dinners refer to the meals shared by families on Christmas Day, representing the joy and nourishment that bring people together.""Dinners refer to the meals shared by families on Christmas Day, representing the joy and nourishment that bring people together.""Dinners refer to the meals shared by families on Christmas Day, representing the joy and nourishment that bring people together.""Dinners refer to the meals shared by families on Christmas Day, representing the joy and nourishment that bring people together.""Dinners represent the communal and familial gatherings that occur during Christmas, emphasized in the text as significant for enjoyment and sharing."', 'source_id': 'chunk-b0f459f5af1c3a5e0b92cbe4ee48b77b'} -2024-10-30 06:44:58,748 - lightrag - INFO - get_node:query:MATCH (n:`THE STREETS`) RETURN n:result: -2024-10-30 06:44:58,879 - lightrag - INFO - _do_upsert:query: - MERGE (n:`THE STREETS`) - SET n += $properties - RETURN n - :result:{'entity_type': '"GEO"', 'description': '"The Streets are the setting for the gatherings and interactions of townspeople during Christmas, showcasing the festive atmosphere."', 'source_id': 'chunk-b0f459f5af1c3a5e0b92cbe4ee48b77b'} -2024-10-30 06:44:59,005 - lightrag - INFO - get_node:query:MATCH (n:`THE SUBURBS`) RETURN n:result: -2024-10-30 06:44:59,138 - lightrag - INFO - _do_upsert:query: - MERGE (n:`THE SUBURBS`) - SET n += $properties - RETURN n - :result:{'entity_type': '"GEO"', 'description': '"The Suburbs are depicted as the area where the Spirit takes Scrooge to observe the lives of the less fortunate, emphasizing social issues."', 'source_id': 'chunk-b0f459f5af1c3a5e0b92cbe4ee48b77b'} -2024-10-30 06:44:59,260 - lightrag - INFO - get_node:query:MATCH (n:`THE NIGHT`) RETURN n:result: -2024-10-30 06:44:59,388 - lightrag - INFO - _do_upsert:query: - MERGE (n:`THE NIGHT`) - SET n += $properties - RETURN n - :result:{'entity_type': '"EVENT"', 'description': '"The Night, particularly Christmas Eve, is framed as a time for reflection and celebration as families prepare for the festivities."', 'source_id': 'chunk-b0f459f5af1c3a5e0b92cbe4ee48b77b'} -2024-10-30 06:44:59,514 - lightrag - INFO - get_node:query:MATCH (n:`CRATCHIT FAMILY`) RETURN n:result:"The Cratchit Family consists of Bob, Mrs. Cratchit, and their children, embodying themes of family unity and contentment despite hardships.""The Cratchit Family consists of Bob, Mrs. Cratchit, and their children, embodying themes of family unity and contentment despite hardships.""The Cratchit Family consists of Bob, Mrs. Cratchit, and their children, embodying themes of family unity and contentment despite hardships.""The Cratchit Family is a close-knit family characterized by love and togetherness, celebrating Christmas with simple but joyful traditions.""The Cratchit Family is portrayed as a close-knit group who, despite their hardships, find joy and gratitude during the Christmas gathering.""The Cratchit Family is portrayed as a loving unit celebrating Christmas together, with various members actively participating in the festivities.""The Cratchit family represents a unit bound by love and resilience in the face of adversity, dealing with emotional and financial struggles.""The Cratchit Family is depicted as a warm and loving household celebrating Christmas together, with various members actively participating in the festivities.""The Cratchit Family is depicted as a warm and loving household celebrating Christmas together, with various members actively participating in the festivities.""The Cratchit Family is depicted as a warm and loving household celebrating Christmas together, with various members actively participating in the festivities.""The Cratchit Family is depicted as a warm and loving household celebrating Christmas together, with various members actively participating in the festivities."', 'source_id': 'chunk-7e2e7ebcc19a53b399dc03aded4743e7chunk-19d72c57ae3408758b18d2568e86dc6bchunk-503f0bfa5453467c7c61d160a3540ecachunk-83ac129dc9b56f84c46760d153d68e93'}> -2024-10-30 06:44:59,644 - lightrag - INFO - _do_upsert:query: - MERGE (n:`CRATCHIT FAMILY`) - SET n += $properties - RETURN n - :result:{'entity_type': '"ORGANIZATION"', 'description': '"The Cratchit Family consists of Bob, Mrs. Cratchit, and their children, embodying themes of family unity and contentment despite hardships.""The Cratchit Family consists of Bob, Mrs. Cratchit, and their children, embodying themes of family unity and contentment despite hardships.""The Cratchit Family consists of Bob, Mrs. Cratchit, and their children, embodying themes of family unity and contentment despite hardships.""The Cratchit Family consists of Bob, Mrs. Cratchit, and their children, embodying themes of family unity and contentment despite hardships.""The Cratchit Family consists of Bob, Mrs. Cratchit, and their children, embodying themes of family unity and contentment despite hardships.""The Cratchit Family is a close-knit family characterized by love and togetherness, celebrating Christmas with simple but joyful traditions.""The Cratchit Family is portrayed as a close-knit group who, despite their hardships, find joy and gratitude during the Christmas gathering.""The Cratchit Family is portrayed as a loving unit celebrating Christmas together, with various members actively participating in the festivities.""The Cratchit family represents a unit bound by love and resilience in the face of adversity, dealing with emotional and financial struggles.""The Cratchit Family is depicted as a warm and loving household celebrating Christmas together, with various members actively participating in the festivities.""The Cratchit Family is depicted as a warm and loving household celebrating Christmas together, with various members actively participating in the festivities.""The Cratchit Family is depicted as a warm and loving household celebrating Christmas together, with various members actively participating in the festivities.""The Cratchit Family is depicted as a warm and loving household celebrating Christmas together, with various members actively participating in the festivities.""The Cratchit Family is depicted as a warm and loving household celebrating Christmas together, with various members actively participating in the festivities."', 'source_id': 'chunk-503f0bfa5453467c7c61d160a3540ecachunk-19d72c57ae3408758b18d2568e86dc6bchunk-7e2e7ebcc19a53b399dc03aded4743e7chunk-83ac129dc9b56f84c46760d153d68e93'} -2024-10-30 06:44:59,773 - lightrag - INFO - get_node:query:MATCH (n:`MARTHA`) RETURN n:result:"Martha is the daughter in the Cratchit family, who makes a dramatic entrance to surprise her family, highlighting the family\'s closeness.""Martha is the daughter in the Cratchit family, who makes a dramatic entrance to surprise her family, highlighting the family\'s closeness.""Martha is the daughter in the Cratchit family, who makes a dramatic entrance to surprise her family, highlighting the family\'s closeness.""Martha is the daughter in the Cratchit family, who makes a dramatic entrance to surprise her family, highlighting the family\'s closeness."', 'source_id': 'chunk-7e2e7ebcc19a53b399dc03aded4743e7chunk-19d72c57ae3408758b18d2568e86dc6b'}> -2024-10-30 06:44:59,907 - lightrag - INFO - _do_upsert:query: - MERGE (n:`MARTHA`) - SET n += $properties - RETURN n - :result:{'entity_type': '"PERSON"', 'description': '"Martha is a poor apprentice at a milliner\'s and shares her experience with the family during their Christmas gathering, contributing to the family atmosphere.""Martha is the daughter in the Cratchit family, who makes a dramatic entrance to surprise her family, highlighting the family\'s closeness.""Martha is the daughter in the Cratchit family, who makes a dramatic entrance to surprise her family, highlighting the family\'s closeness.""Martha is the daughter in the Cratchit family, who makes a dramatic entrance to surprise her family, highlighting the family\'s closeness.""Martha is the daughter in the Cratchit family, who makes a dramatic entrance to surprise her family, highlighting the family\'s closeness.""Martha is the daughter in the Cratchit family, who makes a dramatic entrance to surprise her family, highlighting the family\'s closeness."', 'source_id': 'chunk-19d72c57ae3408758b18d2568e86dc6bchunk-7e2e7ebcc19a53b399dc03aded4743e7'} -2024-10-30 06:45:00,036 - lightrag - INFO - get_node:query:MATCH (n:`CRATCHIT CHRISTMAS DINNER`) RETURN n:result: -2024-10-30 06:45:00,162 - lightrag - INFO - _do_upsert:query: - MERGE (n:`CRATCHIT CHRISTMAS DINNER`) - SET n += $properties - RETURN n - :result:{'entity_type': '"EVENT"', 'description': '"Cratchit Christmas Dinner is a festive occasion filled with joy, love, and togetherness as the family celebrates the holiday."', 'source_id': 'chunk-7e2e7ebcc19a53b399dc03aded4743e7'} -2024-10-30 06:45:00,287 - lightrag - INFO - get_node:query:MATCH (n:`THE GOOSE`) RETURN n:result:"The Goose is a central dish enjoyed by the Cratchit family during their Christmas dinner, symbolizing abundance and celebration.""The Goose is a central dish enjoyed by the Cratchit family during their Christmas dinner, symbolizing abundance and celebration.""The Goose is a central dish enjoyed by the Cratchit family during their Christmas dinner, symbolizing abundance and celebration.""The Goose is a central element of the Cratchit Christmas dinner, representing abundance and the joy of the holiday as the family eagerly anticipates its serving.""The Goose is a central part of the Cratchit family Christmas dinner, which they celebrate with excitement and anticipation, symbolizing abundance and joy.""The Goose is a central element of the Cratchit Christmas dinner, representing abundance and the joy of the holiday as the family eagerly anticipates its serving.""The Goose is a central element of the Cratchit Christmas dinner, representing abundance and the joy of the holiday as the family eagerly anticipates its serving.""The Goose is a central element of the Cratchit Christmas dinner, representing abundance and the joy of the holiday as the family eagerly anticipates its serving."', 'source_id': 'chunk-7e2e7ebcc19a53b399dc03aded4743e7chunk-503f0bfa5453467c7c61d160a3540eca'}> -2024-10-30 06:45:00,421 - lightrag - INFO - _do_upsert:query: - MERGE (n:`THE GOOSE`) - SET n += $properties - RETURN n - :result:{'entity_type': '"EVENT"', 'description': '"The Goose is a central dish enjoyed by the Cratchit family during their Christmas dinner, symbolizing abundance and celebration.""The Goose is a central dish enjoyed by the Cratchit family during their Christmas dinner, symbolizing abundance and celebration.""The Goose is a central dish enjoyed by the Cratchit family during their Christmas dinner, symbolizing abundance and celebration.""The Goose is a central dish enjoyed by the Cratchit family during their Christmas dinner, symbolizing abundance and celebration.""The Goose is a central dish enjoyed by the Cratchit family during their Christmas dinner, symbolizing abundance and celebration.""The Goose is a central element of the Cratchit Christmas dinner, representing abundance and the joy of the holiday as the family eagerly anticipates its serving.""The Goose is a central part of the Cratchit family Christmas dinner, which they celebrate with excitement and anticipation, symbolizing abundance and joy.""The Goose is a central element of the Cratchit Christmas dinner, representing abundance and the joy of the holiday as the family eagerly anticipates its serving.""The Goose is a central element of the Cratchit Christmas dinner, representing abundance and the joy of the holiday as the family eagerly anticipates its serving.""The Goose is a central element of the Cratchit Christmas dinner, representing abundance and the joy of the holiday as the family eagerly anticipates its serving.""The Goose is a central element of the Cratchit Christmas dinner, representing abundance and the joy of the holiday as the family eagerly anticipates its serving."', 'source_id': 'chunk-503f0bfa5453467c7c61d160a3540ecachunk-7e2e7ebcc19a53b399dc03aded4743e7'} -2024-10-30 06:45:00,549 - lightrag - INFO - get_node:query:MATCH (n:`THE YOUNG CRATCHITS`) RETURN n:result: -2024-10-30 06:45:00,686 - lightrag - INFO - _do_upsert:query: - MERGE (n:`THE YOUNG CRATCHITS`) - SET n += $properties - RETURN n - :result:{'entity_type': '"ORGANIZATION"', 'description': '"The Young Cratchits are the children in the Cratchit family who contribute to the lively atmosphere, expressing excitement and involvement in the Christmas celebrations."', 'source_id': 'chunk-7e2e7ebcc19a53b399dc03aded4743e7'} -2024-10-30 06:45:00,810 - lightrag - INFO - get_node:query:MATCH (n:`THE PUDDING`) RETURN n:result:"The Pudding is a special dessert made by Mrs. Cratchit, described as hard and firm, and is a source of pride and excitement for the family.""The Pudding is a special dessert made by Mrs. Cratchit, described as hard and firm, and is a source of pride and excitement for the family.""The Pudding is a special dessert made by Mrs. Cratchit, described as hard and firm, and is a source of pride and excitement for the family.""The Pudding is a traditional dish prepared for Christmas, symbolizing festivity and the warmth of family gatherings.""The Pudding is a traditional dish served at the Cratchit Christmas dinner, symbolizing festive joy and family gatherings.""The Pudding is a traditional dish served at the Cratchit Christmas dinner, symbolizing festive joy and family gatherings.""The Pudding is a traditional dish served at the Cratchit Christmas dinner, symbolizing festive joy and family gatherings.""The Pudding is a traditional dish served at the Cratchit Christmas dinner, symbolizing festive joy and family gatherings."', 'source_id': 'chunk-7e2e7ebcc19a53b399dc03aded4743e7chunk-90d5764e301321c087f5a8f78b73a145chunk-503f0bfa5453467c7c61d160a3540eca'}> -2024-10-30 06:45:00,946 - lightrag - INFO - _do_upsert:query: - MERGE (n:`THE PUDDING`) - SET n += $properties - RETURN n - :result:{'entity_type': '"EVENT"', 'description': '"The Pudding is a special dessert made by Mrs. Cratchit, described as hard and firm, and is a source of pride and excitement for the family.""The Pudding is a special dessert made by Mrs. Cratchit, described as hard and firm, and is a source of pride and excitement for the family.""The Pudding is a special dessert made by Mrs. Cratchit, described as hard and firm, and is a source of pride and excitement for the family.""The Pudding is a special dessert made by Mrs. Cratchit, described as hard and firm, and is a source of pride and excitement for the family.""The Pudding is a special dessert made by Mrs. Cratchit, described as hard and firm, and is a source of pride and excitement for the family.""The Pudding is a traditional dish prepared for Christmas, symbolizing festivity and the warmth of family gatherings.""The Pudding is a traditional dish served at the Cratchit Christmas dinner, symbolizing festive joy and family gatherings.""The Pudding is a traditional dish served at the Cratchit Christmas dinner, symbolizing festive joy and family gatherings.""The Pudding is a traditional dish served at the Cratchit Christmas dinner, symbolizing festive joy and family gatherings.""The Pudding is a traditional dish served at the Cratchit Christmas dinner, symbolizing festive joy and family gatherings.""The Pudding is a traditional dish served at the Cratchit Christmas dinner, symbolizing festive joy and family gatherings."', 'source_id': 'chunk-503f0bfa5453467c7c61d160a3540ecachunk-7e2e7ebcc19a53b399dc03aded4743e7chunk-90d5764e301321c087f5a8f78b73a145'} -2024-10-30 06:45:01,073 - lightrag - INFO - get_node:query:MATCH (n:`THE FIRE`) RETURN n:result:"The Fire represents warmth and comfort in the Cratchit household, inviting family members to gather around during their Christmas celebration.""The Fire represents warmth and comfort in the Cratchit household, inviting family members to gather around during their Christmas celebration.""The Fire represents warmth and comfort in the Cratchit household, inviting family members to gather around during their Christmas celebration.""The Fire represents warmth and comfort in the Cratchit household, inviting family members to gather around during their Christmas celebration."', 'source_id': 'chunk-7e2e7ebcc19a53b399dc03aded4743e7chunk-773d0df1dd25c356f7b771d780583e09'}> -2024-10-30 06:45:01,203 - lightrag - INFO - _do_upsert:query: - MERGE (n:`THE FIRE`) - SET n += $properties - RETURN n - :result:{'entity_type': '"EVENT"', 'description': '"The Fire represents warmth and comfort during the family gathering, enhancing the atmosphere of camaraderie.""The Fire represents warmth and comfort in the Cratchit household, inviting family members to gather around during their Christmas celebration.""The Fire represents warmth and comfort in the Cratchit household, inviting family members to gather around during their Christmas celebration.""The Fire represents warmth and comfort in the Cratchit household, inviting family members to gather around during their Christmas celebration.""The Fire represents warmth and comfort in the Cratchit household, inviting family members to gather around during their Christmas celebration.""The Fire represents warmth and comfort in the Cratchit household, inviting family members to gather around during their Christmas celebration."', 'source_id': 'chunk-773d0df1dd25c356f7b771d780583e09chunk-7e2e7ebcc19a53b399dc03aded4743e7'} -2024-10-30 06:45:01,329 - lightrag - INFO - get_node:query:MATCH (n:`THE DINNER`) RETURN n:result:"The Dinner is a festive event where the Cratchit family gathers to enjoy a meal, including a special goose and pudding, symbolizing their togetherness.""The Dinner is a festive event where the Cratchit family gathers to enjoy a meal, including a special goose and pudding, symbolizing their togetherness.""The Dinner is a festive event where the Cratchit family gathers to enjoy a meal, including a special goose and pudding, symbolizing their togetherness.""The Dinner is a social event characterized by laughter, music, and discussions about Scrooge, portraying a festive Christmas gathering."', 'source_id': 'chunk-503f0bfa5453467c7c61d160a3540ecachunk-773d0df1dd25c356f7b771d780583e09'}> -2024-10-30 06:45:01,463 - lightrag - INFO - _do_upsert:query: - MERGE (n:`THE DINNER`) - SET n += $properties - RETURN n - :result:{'entity_type': '"EVENT"', 'description': '"The Dinner is a festive event where the Cratchit family gathers to enjoy a meal, including a special goose and pudding, symbolizing their togetherness.""The Dinner is a festive event where the Cratchit family gathers to enjoy a meal, including a special goose and pudding, symbolizing their togetherness.""The Dinner is a festive event where the Cratchit family gathers to enjoy a meal, including a special goose and pudding, symbolizing their togetherness.""The Dinner is a festive event where the Cratchit family gathers to enjoy a meal, including a special goose and pudding, symbolizing their togetherness.""The Dinner is a festive event where the Cratchit family gathers to enjoy a meal, including a special goose and pudding, symbolizing their togetherness.""The Dinner is a social event characterized by laughter, music, and discussions about Scrooge, portraying a festive Christmas gathering."', 'source_id': 'chunk-503f0bfa5453467c7c61d160a3540ecachunk-773d0df1dd25c356f7b771d780583e09'} -2024-10-30 06:45:01,592 - lightrag - INFO - get_node:query:MATCH (n:`MISS BELINDA`) RETURN n:result: -2024-10-30 06:45:01,728 - lightrag - INFO - _do_upsert:query: - MERGE (n:`MISS BELINDA`) - SET n += $properties - RETURN n - :result:{'entity_type': '"PERSON"', 'description': '"Miss Belinda is a member of the Cratchit family who assists in the dinner preparations, specifically changing the plates."', 'source_id': 'chunk-503f0bfa5453467c7c61d160a3540eca'} -2024-10-30 06:45:01,852 - lightrag - INFO - get_node:query:MATCH (n:`THE FOUNDER OF THE FEAST`) RETURN n:result: -2024-10-30 06:45:01,986 - lightrag - INFO - _do_upsert:query: - MERGE (n:`THE FOUNDER OF THE FEAST`) - SET n += $properties - RETURN n - :result:{'entity_type': '"TITLE"', 'description': '"The Founder of the Feast refers to Scrooge, whom Bob Cratchit acknowledges during the Christmas dinner, signifying gratitude toward Scrooge\'s provision for the meal."', 'source_id': 'chunk-503f0bfa5453467c7c61d160a3540eca'} -2024-10-30 06:45:02,115 - lightrag - INFO - get_node:query:MATCH (n:`THE COUNTESS`) RETURN n:result:"The Countess is mentioned by Martha, indicating an encounter that highlights the social stratification and aspirations of the Cratchit family.""The Countess is mentioned by Martha, indicating an encounter that highlights the social stratification and aspirations of the Cratchit family.""The Countess is mentioned by Martha, indicating an encounter that highlights the social stratification and aspirations of the Cratchit family.""The Countess is referenced by Martha, showcasing her interaction with figures of higher social status, contrasting with the Cratchit family\'s situation."', 'source_id': 'chunk-19d72c57ae3408758b18d2568e86dc6b'}> -2024-10-30 06:45:02,245 - lightrag - INFO - _do_upsert:query: - MERGE (n:`THE COUNTESS`) - SET n += $properties - RETURN n - :result:{'entity_type': '"PERSON"', 'description': '"The Countess is mentioned by Martha, indicating an encounter that highlights the social stratification and aspirations of the Cratchit family.""The Countess is mentioned by Martha, indicating an encounter that highlights the social stratification and aspirations of the Cratchit family.""The Countess is mentioned by Martha, indicating an encounter that highlights the social stratification and aspirations of the Cratchit family.""The Countess is mentioned by Martha, indicating an encounter that highlights the social stratification and aspirations of the Cratchit family.""The Countess is mentioned by Martha, indicating an encounter that highlights the social stratification and aspirations of the Cratchit family.""The Countess is referenced by Martha, showcasing her interaction with figures of higher social status, contrasting with the Cratchit family\'s situation."', 'source_id': 'chunk-19d72c57ae3408758b18d2568e86dc6b'} -2024-10-30 06:45:02,373 - lightrag - INFO - get_node:query:MATCH (n:`THE LORD`) RETURN n:result:"The Lord is referenced in Martha\'s account of her work, underscoring the contrast between the Cratchit family\'s modest means and the nobility.""The Lord is referenced in Martha\'s account of her work, underscoring the contrast between the Cratchit family\'s modest means and the nobility.""The Lord is referenced in Martha\'s account of her work, underscoring the contrast between the Cratchit family\'s modest means and the nobility.""The Lord is referenced in Martha\'s account of her work, underscoring the contrast between the Cratchit family\'s modest means and the nobility."', 'source_id': 'chunk-19d72c57ae3408758b18d2568e86dc6b'}> -2024-10-30 06:45:02,502 - lightrag - INFO - _do_upsert:query: - MERGE (n:`THE LORD`) - SET n += $properties - RETURN n - :result:{'entity_type': '"PERSON"', 'description': '"The Lord is mentioned by Martha as someone she encountered, illustrating her experiences outside her family\'s struggles.""The Lord is referenced in Martha\'s account of her work, underscoring the contrast between the Cratchit family\'s modest means and the nobility.""The Lord is referenced in Martha\'s account of her work, underscoring the contrast between the Cratchit family\'s modest means and the nobility.""The Lord is referenced in Martha\'s account of her work, underscoring the contrast between the Cratchit family\'s modest means and the nobility.""The Lord is referenced in Martha\'s account of her work, underscoring the contrast between the Cratchit family\'s modest means and the nobility.""The Lord is referenced in Martha\'s account of her work, underscoring the contrast between the Cratchit family\'s modest means and the nobility."', 'source_id': 'chunk-19d72c57ae3408758b18d2568e86dc6b'} -2024-10-30 06:45:02,629 - lightrag - INFO - get_node:query:MATCH (n:`THE GATHERING`) RETURN n:result: -2024-10-30 06:45:02,756 - lightrag - INFO - _do_upsert:query: - MERGE (n:`THE GATHERING`) - SET n += $properties - RETURN n - :result:{'entity_type': '"EVENT"', 'description': '"The Gathering refers to the collective event of the family coming together to celebrate Christmas, filled with warmth and camaraderie despite their struggles."', 'source_id': 'chunk-19d72c57ae3408758b18d2568e86dc6b'} -2024-10-30 06:45:02,882 - lightrag - INFO - get_node:query:MATCH (n:`THE LIGHTHOUSE`) RETURN n:result:"The Lighthouse serves as a solitary structure representing hope and guidance amid a stormy sea, populated by individuals celebrating Christmas.""The Lighthouse serves as a solitary structure representing hope and guidance amid a stormy sea, populated by individuals celebrating Christmas.""The Lighthouse serves as a solitary structure representing hope and guidance amid a stormy sea, populated by individuals celebrating Christmas.""The Lighthouse serves as a solitary structure representing hope and guidance amid a stormy sea, populated by individuals celebrating Christmas."', 'source_id': 'chunk-91614df5cb74cbe5e109a338a82041e9'}> -2024-10-30 06:45:03,013 - lightrag - INFO - _do_upsert:query: - MERGE (n:`THE LIGHTHOUSE`) - SET n += $properties - RETURN n - :result:{'entity_type': '"GEO"', 'description': '"The Lighthouse is a solitary structure standing on a reef, symbolizing hope and guidance amidst the tumultuous sea.""The Lighthouse serves as a solitary structure representing hope and guidance amid a stormy sea, populated by individuals celebrating Christmas.""The Lighthouse serves as a solitary structure representing hope and guidance amid a stormy sea, populated by individuals celebrating Christmas.""The Lighthouse serves as a solitary structure representing hope and guidance amid a stormy sea, populated by individuals celebrating Christmas.""The Lighthouse serves as a solitary structure representing hope and guidance amid a stormy sea, populated by individuals celebrating Christmas.""The Lighthouse serves as a solitary structure representing hope and guidance amid a stormy sea, populated by individuals celebrating Christmas."', 'source_id': 'chunk-91614df5cb74cbe5e109a338a82041e9'} -2024-10-30 06:45:03,142 - lightrag - INFO - get_node:query:MATCH (n:`THE SHIP`) RETURN n:result:"The Ship is a vessel where the crew shares moments of kindness and reflection during Christmas, symbolizing unity and camaraderie.""The Ship is a vessel where the crew shares moments of kindness and reflection during Christmas, symbolizing unity and camaraderie.""The Ship is a vessel where the crew shares moments of kindness and reflection during Christmas, symbolizing unity and camaraderie.""The Ship is described as a vessel on the open sea, where the crew reflects on Christmas, showcasing camaraderie and a sense of belonging."', 'source_id': 'chunk-91614df5cb74cbe5e109a338a82041e9'}> -2024-10-30 06:45:03,272 - lightrag - INFO - _do_upsert:query: - MERGE (n:`THE SHIP`) - SET n += $properties - RETURN n - :result:{'entity_type': '"GEO"', 'description': '"The Ship is a vessel where the crew shares moments of kindness and reflection during Christmas, symbolizing unity and camaraderie.""The Ship is a vessel where the crew shares moments of kindness and reflection during Christmas, symbolizing unity and camaraderie.""The Ship is a vessel where the crew shares moments of kindness and reflection during Christmas, symbolizing unity and camaraderie.""The Ship is a vessel where the crew shares moments of kindness and reflection during Christmas, symbolizing unity and camaraderie.""The Ship is a vessel where the crew shares moments of kindness and reflection during Christmas, symbolizing unity and camaraderie.""The Ship is described as a vessel on the open sea, where the crew reflects on Christmas, showcasing camaraderie and a sense of belonging."', 'source_id': 'chunk-91614df5cb74cbe5e109a338a82041e9'} -2024-10-30 06:45:03,398 - lightrag - INFO - get_node:query:MATCH (n:`THE LAMPLIGHTER`) RETURN n:result:"The Lamplighter is a character who brings light to the street, symbolizing hope and joy as he dotting the dusky street with specks of light.""The Lamplighter is a character who brings light to the street, symbolizing hope and joy as he dotting the dusky street with specks of light.""The Lamplighter is a character who brings light to the street, symbolizing hope and joy as he dotting the dusky street with specks of light.""The Lamplighter is a character who fills the street with light, representing the warmth and joy of the holiday season."', 'source_id': 'chunk-91614df5cb74cbe5e109a338a82041e9'}> -2024-10-30 06:45:03,529 - lightrag - INFO - _do_upsert:query: - MERGE (n:`THE LAMPLIGHTER`) - SET n += $properties - RETURN n - :result:{'entity_type': '"PERSON"', 'description': '"The Lamplighter is a character who brings light to the street, symbolizing hope and joy as he dotting the dusky street with specks of light.""The Lamplighter is a character who brings light to the street, symbolizing hope and joy as he dotting the dusky street with specks of light.""The Lamplighter is a character who brings light to the street, symbolizing hope and joy as he dotting the dusky street with specks of light.""The Lamplighter is a character who brings light to the street, symbolizing hope and joy as he dotting the dusky street with specks of light.""The Lamplighter is a character who brings light to the street, symbolizing hope and joy as he dotting the dusky street with specks of light.""The Lamplighter is a character who fills the street with light, representing the warmth and joy of the holiday season."', 'source_id': 'chunk-91614df5cb74cbe5e109a338a82041e9'} -2024-10-30 06:45:03,658 - lightrag - INFO - get_node:query:MATCH (n:`THE MOOR`) RETURN n:result: -2024-10-30 06:45:03,785 - lightrag - INFO - _do_upsert:query: - MERGE (n:`THE MOOR`) - SET n += $properties - RETURN n - :result:{'entity_type': '"GEO"', 'description': '"The Moor is depicted as a bleak and desolate landscape, symbolizing the harsh conditions where miners live."', 'source_id': 'chunk-91614df5cb74cbe5e109a338a82041e9'} -2024-10-30 06:45:03,912 - lightrag - INFO - get_node:query:MATCH (n:`THE OLD MAN`) RETURN n:result:"The Old Man is a character who sings a Christmas song, providing a sense of tradition and warmth amidst the desolate environment.""The Old Man is a character who sings a Christmas song, providing a sense of tradition and warmth amidst the desolate environment.""The Old Man is a character who sings a Christmas song, providing a sense of tradition and warmth amidst the desolate environment.""The Old Man is portrayed as a figure of light and joy among his family, singing a Christmas song that connects generations."', 'source_id': 'chunk-91614df5cb74cbe5e109a338a82041e9'}> -2024-10-30 06:45:04,045 - lightrag - INFO - _do_upsert:query: - MERGE (n:`THE OLD MAN`) - SET n += $properties - RETURN n - :result:{'entity_type': '"PERSON"', 'description': '"The Old Man is a character who sings a Christmas song, providing a sense of tradition and warmth amidst the desolate environment.""The Old Man is a character who sings a Christmas song, providing a sense of tradition and warmth amidst the desolate environment.""The Old Man is a character who sings a Christmas song, providing a sense of tradition and warmth amidst the desolate environment.""The Old Man is a character who sings a Christmas song, providing a sense of tradition and warmth amidst the desolate environment.""The Old Man is a character who sings a Christmas song, providing a sense of tradition and warmth amidst the desolate environment.""The Old Man is portrayed as a figure of light and joy among his family, singing a Christmas song that connects generations."', 'source_id': 'chunk-91614df5cb74cbe5e109a338a82041e9'} -2024-10-30 06:45:04,173 - lightrag - INFO - get_node:query:MATCH (n:`THE HUT`) RETURN n:result:"The Hut is a place where miners and their families gather to celebrate Christmas, representing warmth and community.""The Hut is a place where miners and their families gather to celebrate Christmas, representing warmth and community.""The Hut is a place where miners and their families gather to celebrate Christmas, representing warmth and community.""The Hut is a shelter for the miners that provides warmth and a gathering space for family during the winter, serving as a symbol of refuge."', 'source_id': 'chunk-91614df5cb74cbe5e109a338a82041e9'}> -2024-10-30 06:45:04,301 - lightrag - INFO - _do_upsert:query: - MERGE (n:`THE HUT`) - SET n += $properties - RETURN n - :result:{'entity_type': '"GEO"', 'description': '"The Hut is a place where miners and their families gather to celebrate Christmas, representing warmth and community.""The Hut is a place where miners and their families gather to celebrate Christmas, representing warmth and community.""The Hut is a place where miners and their families gather to celebrate Christmas, representing warmth and community.""The Hut is a place where miners and their families gather to celebrate Christmas, representing warmth and community.""The Hut is a place where miners and their families gather to celebrate Christmas, representing warmth and community.""The Hut is a shelter for the miners that provides warmth and a gathering space for family during the winter, serving as a symbol of refuge."', 'source_id': 'chunk-91614df5cb74cbe5e109a338a82041e9'} -2024-10-30 06:45:04,434 - lightrag - INFO - get_node:query:MATCH (n:`THE MINERS`) RETURN n:result:"The Miners are individuals who labor in the moor, showcasing their resilience and connection to Christmas despite their harsh living conditions.""The Miners are individuals who labor in the moor, showcasing their resilience and connection to Christmas despite their harsh living conditions.""The Miners are individuals who labor in the moor, showcasing their resilience and connection to Christmas despite their harsh living conditions.""The Miners refer to a group of laborers living in a bleak landscape, embodying the struggles and resilience of working-class life."', 'source_id': 'chunk-91614df5cb74cbe5e109a338a82041e9'}> -2024-10-30 06:45:04,566 - lightrag - INFO - _do_upsert:query: - MERGE (n:`THE MINERS`) - SET n += $properties - RETURN n - :result:{'entity_type': '"ORGANIZATION"', 'description': '"The Miners are individuals who labor in the moor, showcasing their resilience and connection to Christmas despite their harsh living conditions.""The Miners are individuals who labor in the moor, showcasing their resilience and connection to Christmas despite their harsh living conditions.""The Miners are individuals who labor in the moor, showcasing their resilience and connection to Christmas despite their harsh living conditions.""The Miners are individuals who labor in the moor, showcasing their resilience and connection to Christmas despite their harsh living conditions.""The Miners are individuals who labor in the moor, showcasing their resilience and connection to Christmas despite their harsh living conditions.""The Miners refer to a group of laborers living in a bleak landscape, embodying the struggles and resilience of working-class life."', 'source_id': 'chunk-91614df5cb74cbe5e109a338a82041e9'} -2024-10-30 06:45:04,693 - lightrag - INFO - get_node:query:MATCH (n:`THE OFFICERS`) RETURN n:result: -2024-10-30 06:45:04,827 - lightrag - INFO - _do_upsert:query: - MERGE (n:`THE OFFICERS`) - SET n += $properties - RETURN n - :result:{'entity_type': '"ORGANIZATION"', 'description': '"The Officers are dark, ghostly figures aboard the ship, participating in the shared camaraderie of the Christmas spirit."', 'source_id': 'chunk-91614df5cb74cbe5e109a338a82041e9'} -2024-10-30 06:45:04,957 - lightrag - INFO - get_node:query:MATCH (n:`THE WAVE`) RETURN n:result: -2024-10-30 06:45:05,091 - lightrag - INFO - _do_upsert:query: - MERGE (n:`THE WAVE`) - SET n += $properties - RETURN n - :result:{'entity_type': '"GEO"', 'description': '"The Wave is described as thundering and raging, representing the overwhelming natural forces present in the sea setting."', 'source_id': 'chunk-91614df5cb74cbe5e109a338a82041e9'} -2024-10-30 06:45:05,216 - lightrag - INFO - get_node:query:MATCH (n:`STORM-BIRDS`) RETURN n:result:"Storm-Birds are creatures associated with the wild sea, symbolizing the untamed nature of the environment around the lighthouse.""Storm-Birds are creatures associated with the wild sea, symbolizing the untamed nature of the environment around the lighthouse.""Storm-Birds are creatures associated with the wild sea, symbolizing the untamed nature of the environment around the lighthouse.""Storm-Birds are depicted as creatures that rise and fall with the waves, symbolizing the harshness of the environment and the connection to the sea."', 'source_id': 'chunk-91614df5cb74cbe5e109a338a82041e9'}> -2024-10-30 06:45:05,343 - lightrag - INFO - _do_upsert:query: - MERGE (n:`STORM-BIRDS`) - SET n += $properties - RETURN n - :result:{'entity_type': '"GEO"', 'description': '"Storm-Birds are creatures associated with the wild sea, symbolizing the untamed nature of the environment around the lighthouse.""Storm-Birds are creatures associated with the wild sea, symbolizing the untamed nature of the environment around the lighthouse.""Storm-Birds are creatures associated with the wild sea, symbolizing the untamed nature of the environment around the lighthouse.""Storm-Birds are creatures associated with the wild sea, symbolizing the untamed nature of the environment around the lighthouse.""Storm-Birds are creatures associated with the wild sea, symbolizing the untamed nature of the environment around the lighthouse.""Storm-Birds are depicted as creatures that rise and fall with the waves, symbolizing the harshness of the environment and the connection to the sea."', 'source_id': 'chunk-91614df5cb74cbe5e109a338a82041e9'} -2024-10-30 06:45:05,468 - lightrag - INFO - get_node:query:MATCH (n:`SCROOGE'S NIECE`) RETURN n:result:"Scrooge\'s Niece is a lively character who expresses indignation towards Scrooge\'s disdain for Christmas and embodies warmth and charm, showing affection and concern for family.""Scrooge\'s Niece is a lively character who expresses indignation towards Scrooge\'s disdain for Christmas and embodies warmth and charm, showing affection and concern for family.""Scrooge\'s Niece is a lively character who expresses indignation towards Scrooge\'s disdain for Christmas and embodies warmth and charm, showing affection and concern for family.""Scrooge\'s Niece is depicted as a beautiful and lively character who expresses strong opinions about her uncle Scrooge.""Scrooge\'s niece is depicted as a joyful participant in the evening\'s festivities, engaging in games and music.""Scrooge\'s niece is a central figure in the family gathering, enjoying the festivities and games, showing a loving and vibrant personality.""Scrooge\'s niece is a central figure in the family gathering, enjoying the festivities and games, showing a loving and vibrant personality.""Scrooge\'s niece is a central figure in the family gathering, enjoying the festivities and games, showing a loving and vibrant personality.""Scrooge\'s niece is a central figure in the family gathering, enjoying the festivities and games, showing a loving and vibrant personality."', 'source_id': 'chunk-43c9bee23adfa77aa9dedd22401bba7dchunk-773d0df1dd25c356f7b771d780583e09'}> -2024-10-30 06:45:05,598 - lightrag - INFO - _do_upsert:query: - MERGE (n:`SCROOGE'S NIECE`) - SET n += $properties - RETURN n - :result:{'entity_type': '"PERSON"', 'description': '"Scrooge\'s Niece is a lively character who expresses indignation towards Scrooge\'s disdain for Christmas and embodies warmth and charm, showing affection and concern for family.""Scrooge\'s Niece is a lively character who expresses indignation towards Scrooge\'s disdain for Christmas and embodies warmth and charm, showing affection and concern for family.""Scrooge\'s Niece is a lively character who expresses indignation towards Scrooge\'s disdain for Christmas and embodies warmth and charm, showing affection and concern for family.""Scrooge\'s Niece is a lively character who expresses indignation towards Scrooge\'s disdain for Christmas and embodies warmth and charm, showing affection and concern for family.""Scrooge\'s Niece is a lively character who expresses indignation towards Scrooge\'s disdain for Christmas and embodies warmth and charm, showing affection and concern for family.""Scrooge\'s Niece is depicted as a beautiful and lively character who expresses strong opinions about her uncle Scrooge.""Scrooge\'s niece is depicted as a joyful participant in the evening\'s festivities, engaging in games and music.""Scrooge\'s niece is a central figure in the family gathering, enjoying the festivities and games, showing a loving and vibrant personality.""Scrooge\'s niece is a central figure in the family gathering, enjoying the festivities and games, showing a loving and vibrant personality.""Scrooge\'s niece is a central figure in the family gathering, enjoying the festivities and games, showing a loving and vibrant personality.""Scrooge\'s niece is a central figure in the family gathering, enjoying the festivities and games, showing a loving and vibrant personality.""Scrooge\'s niece is a central figure in the family gathering, enjoying the festivities and games, showing a loving and vibrant personality."', 'source_id': 'chunk-773d0df1dd25c356f7b771d780583e09chunk-43c9bee23adfa77aa9dedd22401bba7d'} -2024-10-30 06:45:05,728 - lightrag - INFO - get_node:query:MATCH (n:`TOPPER`) RETURN n:result:"Topper is a character who participates in the dinner and seems to have an interest in one of Scrooge\'s niece\'s sisters.""Topper is a guest at the Christmas party, representing the jovial and festive spirit of the gathering with Fred and Scrooge.""Topper is a jovial character who participates in games and is known for his playful and somewhat roguish behavior during the festivities.""Topper is a member of Scrooge\'s Niece\'s social group, characterized by his playful manner and romantic interests, notably towards one of Scrooge\'s Niece\'s sisters.""Topper is one of Fred\'s friends who attends the Christmas gathering, contributing to the joyful atmosphere of the celebration.""Topper is a jovial character who participates in games and is known for his playful and somewhat roguish behavior during the festivities.""Topper is a member of Scrooge\'s Niece\'s social group, characterized by his playful manner and romantic interests, notably towards one of Scrooge\'s Niece\'s sisters.""Topper is one of Fred\'s friends who attends the Christmas gathering, contributing to the joyful atmosphere of the celebration.""Topper is a jovial character who participates in games and is known for his playful and somewhat roguish behavior during the festivities.""Topper is a member of Scrooge\'s Niece\'s social group, characterized by his playful manner and romantic interests, notably towards one of Scrooge\'s Niece\'s sisters.""Topper is one of Fred\'s friends who attends the Christmas gathering, contributing to the joyful atmosphere of the celebration.""Topper is a jovial character who participates in games and is known for his playful and somewhat roguish behavior during the festivities.""Topper is a member of Scrooge\'s Niece\'s social group, characterized by his playful manner and romantic interests, notably towards one of Scrooge\'s Niece\'s sisters.""Topper is one of Fred\'s friends who attends the Christmas gathering, contributing to the joyful atmosphere of the celebration."', 'source_id': 'chunk-43c9bee23adfa77aa9dedd22401bba7dchunk-94bea83e7153fc2064aa382b494936a1chunk-773d0df1dd25c356f7b771d780583e09'}> -2024-10-30 06:45:05,730 - lightrag - DEBUG - Trigger summary: "TOPPER" -2024-10-30 06:45:05,829 - lightrag - INFO - get_node:query:MATCH (n:`SCROOGE'S NIECE'S SISTERS`) RETURN n:result:"Scrooge\'s Niece\'s Sisters are a part of the family gathering, expressing their opinions and adding to the lively atmosphere with their laughter and good humor.""Scrooge\'s Niece\'s Sisters are a part of the family gathering, expressing their opinions and adding to the lively atmosphere with their laughter and good humor.""Scrooge\'s Niece\'s Sisters are a part of the family gathering, expressing their opinions and adding to the lively atmosphere with their laughter and good humor.""Scrooge\'s Niece\'s Sisters are part of the family gathering, contributing to the lively atmosphere and expressing opinions about Scrooge."', 'source_id': 'chunk-773d0df1dd25c356f7b771d780583e09'}> -2024-10-30 06:45:05,976 - lightrag - INFO - _do_upsert:query: - MERGE (n:`SCROOGE'S NIECE'S SISTERS`) - SET n += $properties - RETURN n - :result:{'entity_type': '"PERSON"', 'description': '"Scrooge\'s Niece\'s Sisters are a part of the family gathering, expressing their opinions and adding to the lively atmosphere with their laughter and good humor.""Scrooge\'s Niece\'s Sisters are a part of the family gathering, expressing their opinions and adding to the lively atmosphere with their laughter and good humor.""Scrooge\'s Niece\'s Sisters are a part of the family gathering, expressing their opinions and adding to the lively atmosphere with their laughter and good humor.""Scrooge\'s Niece\'s Sisters are a part of the family gathering, expressing their opinions and adding to the lively atmosphere with their laughter and good humor.""Scrooge\'s Niece\'s Sisters are a part of the family gathering, expressing their opinions and adding to the lively atmosphere with their laughter and good humor.""Scrooge\'s Niece\'s Sisters are part of the family gathering, contributing to the lively atmosphere and expressing opinions about Scrooge."', 'source_id': 'chunk-773d0df1dd25c356f7b771d780583e09'} -2024-10-30 06:45:06,105 - lightrag - INFO - get_node:query:MATCH (n:`THE PLUMP SISTER`) RETURN n:result:"The Plump Sister is a character in the gathering who becomes the focus of Topper\'s playful advances during the games, contributing to the comedic aspects of the gathering.""The Plump Sister is a character in the gathering who becomes the focus of Topper\'s playful advances during the games, contributing to the comedic aspects of the gathering.""The Plump Sister is a character in the gathering who becomes the focus of Topper\'s playful advances during the games, contributing to the comedic aspects of the gathering.""The Plump Sister is depicted in a light-hearted and humorous context, illustrating the fun of Christmas gatherings.""The plump sister is a character involved in the games, specifically blind man\'s-buff, and captures Topper\'s attention during the festivities.""The Plump Sister is one of Scrooge\'s Niece\'s sisters, characterized by her bashfulness and her attempts to maintain decorum amidst the laughter.""The Plump Sister is one of Scrooge\'s Niece\'s sisters, characterized by her bashfulness and her attempts to maintain decorum amidst the laughter.""The Plump Sister is one of Scrooge\'s Niece\'s sisters, characterized by her bashfulness and her attempts to maintain decorum amidst the laughter.""The Plump Sister is one of Scrooge\'s Niece\'s sisters, characterized by her bashfulness and her attempts to maintain decorum amidst the laughter."', 'source_id': 'chunk-43c9bee23adfa77aa9dedd22401bba7dchunk-89777b838d5447c7bd1ec11282c4ee89chunk-773d0df1dd25c356f7b771d780583e09'}> -2024-10-30 06:45:06,235 - lightrag - INFO - _do_upsert:query: - MERGE (n:`THE PLUMP SISTER`) - SET n += $properties - RETURN n - :result:{'entity_type': '"PERSON"', 'description': '"The Plump Sister is a character in the gathering who becomes the focus of Topper\'s playful advances during the games, contributing to the comedic aspects of the gathering.""The Plump Sister is a character in the gathering who becomes the focus of Topper\'s playful advances during the games, contributing to the comedic aspects of the gathering.""The Plump Sister is a character in the gathering who becomes the focus of Topper\'s playful advances during the games, contributing to the comedic aspects of the gathering.""The Plump Sister is a character in the gathering who becomes the focus of Topper\'s playful advances during the games, contributing to the comedic aspects of the gathering.""The Plump Sister is a character in the gathering who becomes the focus of Topper\'s playful advances during the games, contributing to the comedic aspects of the gathering.""The Plump Sister is depicted in a light-hearted and humorous context, illustrating the fun of Christmas gatherings.""The plump sister is a character involved in the games, specifically blind man\'s-buff, and captures Topper\'s attention during the festivities.""The Plump Sister is one of Scrooge\'s Niece\'s sisters, characterized by her bashfulness and her attempts to maintain decorum amidst the laughter.""The Plump Sister is one of Scrooge\'s Niece\'s sisters, characterized by her bashfulness and her attempts to maintain decorum amidst the laughter.""The Plump Sister is one of Scrooge\'s Niece\'s sisters, characterized by her bashfulness and her attempts to maintain decorum amidst the laughter.""The Plump Sister is one of Scrooge\'s Niece\'s sisters, characterized by her bashfulness and her attempts to maintain decorum amidst the laughter.""The Plump Sister is one of Scrooge\'s Niece\'s sisters, characterized by her bashfulness and her attempts to maintain decorum amidst the laughter."', 'source_id': 'chunk-773d0df1dd25c356f7b771d780583e09chunk-43c9bee23adfa77aa9dedd22401bba7dchunk-89777b838d5447c7bd1ec11282c4ee89'} -2024-10-30 06:45:06,360 - lightrag - INFO - get_node:query:MATCH (n:`DINNER`) RETURN n:result: -2024-10-30 06:45:06,488 - lightrag - INFO - _do_upsert:query: - MERGE (n:`DINNER`) - SET n += $properties - RETURN n - :result:{'entity_type': '"EVENT"', 'description': '"Dinner is the festive meal that is shared among the characters, symbolizing the warmth of family and celebration that contrasts with Scrooge\'s isolated demeanor."', 'source_id': 'chunk-773d0df1dd25c356f7b771d780583e09'} -2024-10-30 06:45:06,622 - lightrag - INFO - get_node:query:MATCH (n:`MERRIMENT`) RETURN n:result:"Merriment embodies the joy and celebration associated with the holiday season and the gathering of family and friends in the narrative.""Merriment embodies the joy and celebration associated with the holiday season and the gathering of family and friends in the narrative.""Merriment embodies the joy and celebration associated with the holiday season and the gathering of family and friends in the narrative.""Merriment refers to the joyful and festive atmosphere that the characters aim to create, opposing Scrooge\'s jaded perspective on social gatherings.""Merriment refers to the joyful and festive atmosphere that the characters aim to create, opposing Scrooge\'s jaded perspective on social gatherings.""Merriment refers to the joyful and festive atmosphere that the characters aim to create, opposing Scrooge\'s jaded perspective on social gatherings.""Merriment refers to the joyful and festive atmosphere that the characters aim to create, opposing Scrooge\'s jaded perspective on social gatherings."', 'source_id': 'chunk-e7637ff18c5ded77a68cce0a87883fadchunk-773d0df1dd25c356f7b771d780583e09'}> -2024-10-30 06:45:06,756 - lightrag - INFO - _do_upsert:query: - MERGE (n:`MERRIMENT`) - SET n += $properties - RETURN n - :result:{'entity_type': '"CONCEPT"', 'description': '"Merriment embodies the joy and celebration associated with the holiday season and the gathering of family and friends in the narrative.""Merriment embodies the joy and celebration associated with the holiday season and the gathering of family and friends in the narrative.""Merriment embodies the joy and celebration associated with the holiday season and the gathering of family and friends in the narrative.""Merriment embodies the joy and celebration associated with the holiday season and the gathering of family and friends in the narrative.""Merriment embodies the joy and celebration associated with the holiday season and the gathering of family and friends in the narrative.""Merriment refers to the joyful and festive atmosphere that the characters aim to create, opposing Scrooge\'s jaded perspective on social gatherings.""Merriment refers to the joyful and festive atmosphere that the characters aim to create, opposing Scrooge\'s jaded perspective on social gatherings.""Merriment refers to the joyful and festive atmosphere that the characters aim to create, opposing Scrooge\'s jaded perspective on social gatherings.""Merriment refers to the joyful and festive atmosphere that the characters aim to create, opposing Scrooge\'s jaded perspective on social gatherings.""Merriment refers to the joyful and festive atmosphere that the characters aim to create, opposing Scrooge\'s jaded perspective on social gatherings."', 'source_id': 'chunk-773d0df1dd25c356f7b771d780583e09chunk-e7637ff18c5ded77a68cce0a87883fad'} -2024-10-30 06:45:06,903 - lightrag - INFO - get_node:query:MATCH (n:`BLIND MAN'S BUFF`) RETURN n:result: -2024-10-30 06:45:07,035 - lightrag - INFO - _do_upsert:query: - MERGE (n:`BLIND MAN'S BUFF`) - SET n += $properties - RETURN n - :result:{'entity_type': '"EVENT"', 'description': '"Blind Man\'s Buff is a traditional game played during the gathering, contributing to the festive atmosphere and interactions among the guests."', 'source_id': 'chunk-43c9bee23adfa77aa9dedd22401bba7d'} -2024-10-30 06:45:07,161 - lightrag - INFO - get_node:query:MATCH (n:`FORFEITS`) RETURN n:result:"Forfeits is another social game played by the characters, emphasizing the playful nature of their Christmas celebration.""Forfeits is another social game played by the characters, emphasizing the playful nature of their Christmas celebration.""Forfeits is another social game played by the characters, emphasizing the playful nature of their Christmas celebration.""Forfeits is another social game played by the characters, emphasizing the playful nature of their Christmas celebration."', 'source_id': 'chunk-43c9bee23adfa77aa9dedd22401bba7d'}> -2024-10-30 06:45:07,290 - lightrag - INFO - _do_upsert:query: - MERGE (n:`FORFEITS`) - SET n += $properties - RETURN n - :result:{'entity_type': '"EVENT"', 'description': '"Forfeits is another game played that allows participants to engage in fun activities, emphasizing the spirit of the gathering.""Forfeits is another social game played by the characters, emphasizing the playful nature of their Christmas celebration.""Forfeits is another social game played by the characters, emphasizing the playful nature of their Christmas celebration.""Forfeits is another social game played by the characters, emphasizing the playful nature of their Christmas celebration.""Forfeits is another social game played by the characters, emphasizing the playful nature of their Christmas celebration.""Forfeits is another social game played by the characters, emphasizing the playful nature of their Christmas celebration."', 'source_id': 'chunk-43c9bee23adfa77aa9dedd22401bba7d'} -2024-10-30 06:45:07,416 - lightrag - INFO - get_node:query:MATCH (n:`THE HARP`) RETURN n:result: -2024-10-30 06:45:07,549 - lightrag - INFO - _do_upsert:query: - MERGE (n:`THE HARP`) - SET n += $properties - RETURN n - :result:{'entity_type': '"TECHNOLOGY"', 'description': '"The Harp is a musical instrument played by Scrooge\'s niece, contributing to the evening\'s entertainment and illustrating the family\'s musical talents."', 'source_id': 'chunk-43c9bee23adfa77aa9dedd22401bba7d'} -2024-10-30 06:45:07,673 - lightrag - INFO - get_node:query:MATCH (n:`CHRISTMAS HOLIDAYS`) RETURN n:result:"Christmas Holidays signify a time for celebration, reflection, and reconciliation, playing a critical role in Scrooge\'s transformation.""Christmas Holidays signify a time for celebration, reflection, and reconciliation, playing a critical role in Scrooge\'s transformation.""Christmas Holidays signify a time for celebration, reflection, and reconciliation, playing a critical role in Scrooge\'s transformation.""The Christmas Holidays serve as a crucial backdrop for the narrative, representing themes of generosity, family, and redemption."', 'source_id': 'chunk-e7637ff18c5ded77a68cce0a87883fad'}> -2024-10-30 06:45:07,803 - lightrag - INFO - _do_upsert:query: - MERGE (n:`CHRISTMAS HOLIDAYS`) - SET n += $properties - RETURN n - :result:{'entity_type': '"EVENT"', 'description': '"Christmas Holidays signify a time for celebration, reflection, and reconciliation, playing a critical role in Scrooge\'s transformation.""Christmas Holidays signify a time for celebration, reflection, and reconciliation, playing a critical role in Scrooge\'s transformation.""Christmas Holidays signify a time for celebration, reflection, and reconciliation, playing a critical role in Scrooge\'s transformation.""Christmas Holidays signify a time for celebration, reflection, and reconciliation, playing a critical role in Scrooge\'s transformation.""Christmas Holidays signify a time for celebration, reflection, and reconciliation, playing a critical role in Scrooge\'s transformation.""The Christmas Holidays serve as a crucial backdrop for the narrative, representing themes of generosity, family, and redemption."', 'source_id': 'chunk-e7637ff18c5ded77a68cce0a87883fad'} -2024-10-30 06:45:07,952 - lightrag - INFO - get_node:query:MATCH (n:`IGNORANCE`) RETURN n:result:"Ignorance is personified as a boy that symbolizes the dangers of ignoring social issues and the consequences of a lack of awareness.""Ignorance personifies a societal failing, depicted as a child, warning of the dangers of neglect and moral responsibility.""Ignorance refers to one of the two children presented by the Spirit, symbolizing societal neglect and the consequences of lack of awareness.""Ignorance personifies a societal failing, depicted as a child, warning of the dangers of neglect and moral responsibility.""Ignorance refers to one of the two children presented by the Spirit, symbolizing societal neglect and the consequences of lack of awareness.""Ignorance personifies a societal failing, depicted as a child, warning of the dangers of neglect and moral responsibility.""Ignorance refers to one of the two children presented by the Spirit, symbolizing societal neglect and the consequences of lack of awareness.""Ignorance personifies a societal failing, depicted as a child, warning of the dangers of neglect and moral responsibility.""Ignorance refers to one of the two children presented by the Spirit, symbolizing societal neglect and the consequences of lack of awareness."', 'source_id': 'chunk-e7637ff18c5ded77a68cce0a87883fadchunk-02baee20cc9463dbe08170a8e1043e32'}> -2024-10-30 06:45:08,084 - lightrag - INFO - _do_upsert:query: - MERGE (n:`IGNORANCE`) - SET n += $properties - RETURN n - :result:{'entity_type': '"CONCEPT"', 'description': '"Ignorance is personified as a boy shown to Scrooge by the Spirit, representing a societal issue that appeals for attention and change.""Ignorance is personified as a boy that symbolizes the dangers of ignoring social issues and the consequences of a lack of awareness.""Ignorance personifies a societal failing, depicted as a child, warning of the dangers of neglect and moral responsibility.""Ignorance refers to one of the two children presented by the Spirit, symbolizing societal neglect and the consequences of lack of awareness.""Ignorance personifies a societal failing, depicted as a child, warning of the dangers of neglect and moral responsibility.""Ignorance refers to one of the two children presented by the Spirit, symbolizing societal neglect and the consequences of lack of awareness.""Ignorance personifies a societal failing, depicted as a child, warning of the dangers of neglect and moral responsibility.""Ignorance refers to one of the two children presented by the Spirit, symbolizing societal neglect and the consequences of lack of awareness.""Ignorance personifies a societal failing, depicted as a child, warning of the dangers of neglect and moral responsibility.""Ignorance refers to one of the two children presented by the Spirit, symbolizing societal neglect and the consequences of lack of awareness.""Ignorance personifies a societal failing, depicted as a child, warning of the dangers of neglect and moral responsibility.""Ignorance refers to one of the two children presented by the Spirit, symbolizing societal neglect and the consequences of lack of awareness."', 'source_id': 'chunk-02baee20cc9463dbe08170a8e1043e32chunk-e7637ff18c5ded77a68cce0a87883fad'} -2024-10-30 06:45:08,219 - lightrag - INFO - get_node:query:MATCH (n:`WANT`) RETURN n:result:"Want is represented as the second child shown by the Spirit, symbolizing the dire social conditions and needs of the impoverished.""Want represents another societal failing, portrayed as a girl, symbolizing deprivation and yearning for basic needs.""Want is represented as the second child shown by the Spirit, symbolizing the dire social conditions and needs of the impoverished.""Want represents another societal failing, portrayed as a girl, symbolizing deprivation and yearning for basic needs.""Want is represented as the second child shown by the Spirit, symbolizing the dire social conditions and needs of the impoverished.""Want represents another societal failing, portrayed as a girl, symbolizing deprivation and yearning for basic needs.""Want is represented as the second child shown by the Spirit, symbolizing the dire social conditions and needs of the impoverished.""Want represents another societal failing, portrayed as a girl, symbolizing deprivation and yearning for basic needs."', 'source_id': 'chunk-e7637ff18c5ded77a68cce0a87883fadchunk-02baee20cc9463dbe08170a8e1043e32'}> -2024-10-30 06:45:08,350 - lightrag - INFO - _do_upsert:query: - MERGE (n:`WANT`) - SET n += $properties - RETURN n - :result:{'entity_type': '"CONCEPT"', 'description': '"Want is depicted as a girl, representing the consequences of poverty and desire in society, warning against neglecting these issues.""Want is represented as the second child shown by the Spirit, symbolizing the dire social conditions and needs of the impoverished.""Want represents another societal failing, portrayed as a girl, symbolizing deprivation and yearning for basic needs.""Want is represented as the second child shown by the Spirit, symbolizing the dire social conditions and needs of the impoverished.""Want represents another societal failing, portrayed as a girl, symbolizing deprivation and yearning for basic needs.""Want is represented as the second child shown by the Spirit, symbolizing the dire social conditions and needs of the impoverished.""Want represents another societal failing, portrayed as a girl, symbolizing deprivation and yearning for basic needs.""Want is represented as the second child shown by the Spirit, symbolizing the dire social conditions and needs of the impoverished.""Want represents another societal failing, portrayed as a girl, symbolizing deprivation and yearning for basic needs.""Want is represented as the second child shown by the Spirit, symbolizing the dire social conditions and needs of the impoverished.""Want represents another societal failing, portrayed as a girl, symbolizing deprivation and yearning for basic needs."', 'source_id': 'chunk-02baee20cc9463dbe08170a8e1043e32chunk-e7637ff18c5ded77a68cce0a87883fad'} -2024-10-30 06:45:08,480 - lightrag - INFO - get_node:query:MATCH (n:`ALMS HOUSE`) RETURN n:result: -2024-10-30 06:45:08,615 - lightrag - INFO - _do_upsert:query: - MERGE (n:`ALMS HOUSE`) - SET n += $properties - RETURN n - :result:{'entity_type': '"ORGANIZATION"', 'description': '"Alms House refers to a charitable institution visited by the Spirit, where the poor receive support and care."', 'source_id': 'chunk-e7637ff18c5ded77a68cce0a87883fad'} -2024-10-30 06:45:08,741 - lightrag - INFO - get_node:query:MATCH (n:`HOSPITAL`) RETURN n:result:"Hospital signifies a place of healing and care, visited by the Spirit in the story.""Hospital signifies a place of healing and care, visited by the Spirit in the story.""Hospital signifies a place of healing and care, visited by the Spirit in the story.""The Hospital represents a location of care and compassion, highlighting the human condition and the need for kindness."', 'source_id': 'chunk-e7637ff18c5ded77a68cce0a87883fad'}> -2024-10-30 06:45:08,874 - lightrag - INFO - _do_upsert:query: - MERGE (n:`HOSPITAL`) - SET n += $properties - RETURN n - :result:{'entity_type': '"ORGANIZATION"', 'description': '"Hospital signifies a place of healing and care, visited by the Spirit in the story.""Hospital signifies a place of healing and care, visited by the Spirit in the story.""Hospital signifies a place of healing and care, visited by the Spirit in the story.""Hospital signifies a place of healing and care, visited by the Spirit in the story.""Hospital signifies a place of healing and care, visited by the Spirit in the story.""The Hospital represents a location of care and compassion, highlighting the human condition and the need for kindness."', 'source_id': 'chunk-e7637ff18c5ded77a68cce0a87883fad'} -2024-10-30 06:45:09,002 - lightrag - INFO - get_node:query:MATCH (n:`GAOL`) RETURN n:result:"Gaol refers to a prison, illustrating the theme of social justice and the conditions of the impoverished in society.""Gaol refers to a prison, illustrating the theme of social justice and the conditions of the impoverished in society.""Gaol refers to a prison, illustrating the theme of social justice and the conditions of the impoverished in society.""The Gaol symbolizes imprisonment and despair, representing the societal failings and the need for mercy and understanding."', 'source_id': 'chunk-e7637ff18c5ded77a68cce0a87883fad'}> -2024-10-30 06:45:09,137 - lightrag - INFO - _do_upsert:query: - MERGE (n:`GAOL`) - SET n += $properties - RETURN n - :result:{'entity_type': '"ORGANIZATION"', 'description': '"Gaol refers to a prison, illustrating the theme of social justice and the conditions of the impoverished in society.""Gaol refers to a prison, illustrating the theme of social justice and the conditions of the impoverished in society.""Gaol refers to a prison, illustrating the theme of social justice and the conditions of the impoverished in society.""Gaol refers to a prison, illustrating the theme of social justice and the conditions of the impoverished in society.""Gaol refers to a prison, illustrating the theme of social justice and the conditions of the impoverished in society.""The Gaol symbolizes imprisonment and despair, representing the societal failings and the need for mercy and understanding."', 'source_id': 'chunk-e7637ff18c5ded77a68cce0a87883fad'} -2024-10-30 06:45:09,268 - lightrag - INFO - get_node:query:MATCH (n:`TWELFTH NIGHT`) RETURN n:result: -2024-10-30 06:45:09,395 - lightrag - INFO - _do_upsert:query: - MERGE (n:`TWELFTH NIGHT`) - SET n += $properties - RETURN n - :result:{'entity_type': '"EVENT"', 'description': '"Twelfth Night is a festive occasion celebrated in the story, showcasing family gatherings and merriment during the holiday season."', 'source_id': 'chunk-e7637ff18c5ded77a68cce0a87883fad'} -2024-10-30 06:45:09,521 - lightrag - INFO - get_node:query:MATCH (n:`MULLED WINE`) RETURN n:result:"Mulled Wine is a festive drink mentioned in the context of celebration during the Christmas gathering.""Mulled Wine is a festive drink mentioned in the context of celebration during the Christmas gathering.""Mulled Wine is a festive drink mentioned in the context of celebration during the Christmas gathering.""Mulled Wine symbolizes warmth and cheer, often associated with celebrations during the holiday season, particularly in the context of family gatherings."', 'source_id': 'chunk-e7637ff18c5ded77a68cce0a87883fad'}> -2024-10-30 06:45:09,651 - lightrag - INFO - _do_upsert:query: - MERGE (n:`MULLED WINE`) - SET n += $properties - RETURN n - :result:{'entity_type': '"EVENT"', 'description': '"Mulled Wine is a festive drink mentioned in the context of celebration during the Christmas gathering.""Mulled Wine is a festive drink mentioned in the context of celebration during the Christmas gathering.""Mulled Wine is a festive drink mentioned in the context of celebration during the Christmas gathering.""Mulled Wine is a festive drink mentioned in the context of celebration during the Christmas gathering.""Mulled Wine is a festive drink mentioned in the context of celebration during the Christmas gathering.""Mulled Wine symbolizes warmth and cheer, often associated with celebrations during the holiday season, particularly in the context of family gatherings."', 'source_id': 'chunk-e7637ff18c5ded77a68cce0a87883fad'} -2024-10-30 06:45:09,780 - lightrag - INFO - get_node:query:MATCH (n:`PHANTOM`) RETURN n:result: -2024-10-30 06:45:09,912 - lightrag - INFO - _do_upsert:query: - MERGE (n:`PHANTOM`) - SET n += $properties - RETURN n - :result:{'entity_type': '"ORGANIZATION"', 'description': '"The Phantom is a representation of death and the unknown future, appearing to Scrooge with a mysterious and intimidating presence."', 'source_id': 'chunk-02baee20cc9463dbe08170a8e1043e32'} -2024-10-30 06:45:10,038 - lightrag - INFO - get_node:query:MATCH (n:`BUSINESS MEN`) RETURN n:result: -2024-10-30 06:45:10,172 - lightrag - INFO - _do_upsert:query: - MERGE (n:`BUSINESS MEN`) - SET n += $properties - RETURN n - :result:{'entity_type': '"ORGANIZATION"', 'description': '"The business men are a group discussing Scrooge\'s death, reflecting society\'s indifference and the consequential nature of wealth."', 'source_id': 'chunk-02baee20cc9463dbe08170a8e1043e32'} -2024-10-30 06:45:10,295 - lightrag - INFO - get_node:query:MATCH (n:`THE DEAD MAN`) RETURN n:result:"The Dead man is the subject of discussion among the business men, representing Scrooge himself and the consequences of his life.""The Dead man is the subject of discussion among the business men, representing Scrooge himself and the consequences of his life.""The Dead man is the subject of discussion among the business men, representing Scrooge himself and the consequences of his life.""The Dead man is the subject of discussion among the business men, representing Scrooge himself and the consequences of his life."', 'source_id': 'chunk-60fc063c79fc0d4acc91a57e79de04dcchunk-02baee20cc9463dbe08170a8e1043e32'}> -2024-10-30 06:45:10,423 - lightrag - INFO - _do_upsert:query: - MERGE (n:`THE DEAD MAN`) - SET n += $properties - RETURN n - :result:{'entity_type': '"PERSON"', 'description': '"The Dead Man is mentioned as the previous owner of the items being appraised, embodying the consequences of greed and isolation.""The Dead man is the subject of discussion among the business men, representing Scrooge himself and the consequences of his life.""The Dead man is the subject of discussion among the business men, representing Scrooge himself and the consequences of his life.""The Dead man is the subject of discussion among the business men, representing Scrooge himself and the consequences of his life.""The Dead man is the subject of discussion among the business men, representing Scrooge himself and the consequences of his life.""The Dead man is the subject of discussion among the business men, representing Scrooge himself and the consequences of his life."', 'source_id': 'chunk-60fc063c79fc0d4acc91a57e79de04dcchunk-02baee20cc9463dbe08170a8e1043e32'} -2024-10-30 06:45:10,550 - lightrag - INFO - get_node:query:MATCH (n:`JACOB`) RETURN n:result:"Jacob is Scrooge\'s old partner whose death is acknowledged, influencing Scrooge\'s reflections on his own life and future.""Jacob is Scrooge\'s old partner whose death is acknowledged, influencing Scrooge\'s reflections on his own life and future.""Jacob is Scrooge\'s old partner whose death is acknowledged, influencing Scrooge\'s reflections on his own life and future.""Jacob is referenced as Scrooge\'s old partner, significant for his recent death and the impact of this event on Scrooge\'s reflections."', 'source_id': 'chunk-f1a4fbcf1ed86864b9bfd5e8dba4c683'}> -2024-10-30 06:45:10,681 - lightrag - INFO - _do_upsert:query: - MERGE (n:`JACOB`) - SET n += $properties - RETURN n - :result:{'entity_type': '"PERSON"', 'description': '"Jacob is Scrooge\'s old partner whose death is acknowledged, influencing Scrooge\'s reflections on his own life and future.""Jacob is Scrooge\'s old partner whose death is acknowledged, influencing Scrooge\'s reflections on his own life and future.""Jacob is Scrooge\'s old partner whose death is acknowledged, influencing Scrooge\'s reflections on his own life and future.""Jacob is Scrooge\'s old partner whose death is acknowledged, influencing Scrooge\'s reflections on his own life and future.""Jacob is Scrooge\'s old partner whose death is acknowledged, influencing Scrooge\'s reflections on his own life and future.""Jacob is referenced as Scrooge\'s old partner, significant for his recent death and the impact of this event on Scrooge\'s reflections."', 'source_id': 'chunk-f1a4fbcf1ed86864b9bfd5e8dba4c683'} -2024-10-30 06:45:10,810 - lightrag - INFO - get_node:query:MATCH (n:`THE TOWN`) RETURN n:result: -2024-10-30 06:45:10,948 - lightrag - INFO - _do_upsert:query: - MERGE (n:`THE TOWN`) - SET n += $properties - RETURN n - :result:{'entity_type': '"GEO"', 'description': '"The Town is depicted as an obscure and morally degraded area contrasting with the lively scenes, indicating deep societal issues."', 'source_id': 'chunk-f1a4fbcf1ed86864b9bfd5e8dba4c683'} -2024-10-30 06:45:11,077 - lightrag - INFO - get_node:query:MATCH (n:`THE LOW-BROWED SHOP`) RETURN n:result:"The Low-Browed Shop is a grim establishment in the town dealing in various unwanted goods, representing decay and desperation.""The Low-Browed Shop is a grim establishment in the town dealing in various unwanted goods, representing decay and desperation.""The Low-Browed Shop is a grim establishment in the town dealing in various unwanted goods, representing decay and desperation.""The Low-Browed Shop is a setting that symbolizes neglect and degradation, filled with discarded items and representing societal decay."', 'source_id': 'chunk-f1a4fbcf1ed86864b9bfd5e8dba4c683'}> -2024-10-30 06:45:11,211 - lightrag - INFO - _do_upsert:query: - MERGE (n:`THE LOW-BROWED SHOP`) - SET n += $properties - RETURN n - :result:{'entity_type': '"ORGANIZATION"', 'description': '"The Low-Browed Shop is a grim establishment in the town dealing in various unwanted goods, representing decay and desperation.""The Low-Browed Shop is a grim establishment in the town dealing in various unwanted goods, representing decay and desperation.""The Low-Browed Shop is a grim establishment in the town dealing in various unwanted goods, representing decay and desperation.""The Low-Browed Shop is a grim establishment in the town dealing in various unwanted goods, representing decay and desperation.""The Low-Browed Shop is a grim establishment in the town dealing in various unwanted goods, representing decay and desperation.""The Low-Browed Shop is a setting that symbolizes neglect and degradation, filled with discarded items and representing societal decay."', 'source_id': 'chunk-f1a4fbcf1ed86864b9bfd5e8dba4c683'} -2024-10-30 06:45:11,342 - lightrag - INFO - get_node:query:MATCH (n:`RED-FACED GENTLEMAN`) RETURN n:result: -2024-10-30 06:45:11,480 - lightrag - INFO - _do_upsert:query: - MERGE (n:`RED-FACED GENTLEMAN`) - SET n += $properties - RETURN n - :result:{'entity_type': '"PERSON"', 'description': '"The Red-faced Gentleman is a character who humorously discusses the potential nature of a cheap funeral at the gathering."', 'source_id': 'chunk-f1a4fbcf1ed86864b9bfd5e8dba4c683'} -2024-10-30 06:45:11,604 - lightrag - INFO - get_node:query:MATCH (n:`GENTLEMAN WITH THE EXCRESCENCE`) RETURN n:result: -2024-10-30 06:45:11,737 - lightrag - INFO - _do_upsert:query: - MERGE (n:`GENTLEMAN WITH THE EXCRESCENCE`) - SET n += $properties - RETURN n - :result:{'entity_type': '"PERSON"', 'description': '"The Gentleman with the Excrescence is characterized by a physical trait and provides humorous remarks about attending a funeral."', 'source_id': 'chunk-f1a4fbcf1ed86864b9bfd5e8dba4c683'} -2024-10-30 06:45:11,861 - lightrag - INFO - get_node:query:MATCH (n:`OLD SCRATCH`) RETURN n:result:"Old Scratch is a colloquial term used in reference to the devil, indicating a grim context in discussions about death.""Old Scratch is a colloquial term used in reference to the devil, indicating a grim context in discussions about death.""Old Scratch is a colloquial term used in reference to the devil, indicating a grim context in discussions about death.""Old Scratch is mentioned as a figure related to the conversation, symbolizing mischief and humor."', 'source_id': 'chunk-f1a4fbcf1ed86864b9bfd5e8dba4c683chunk-89777b838d5447c7bd1ec11282c4ee89'}> -2024-10-30 06:45:11,994 - lightrag - INFO - _do_upsert:query: - MERGE (n:`OLD SCRATCH`) - SET n += $properties - RETURN n - :result:{'entity_type': '"CONCEPT"', 'description': '"Old Scratch is a colloquial term used in reference to the devil, indicating a grim context in discussions about death.""Old Scratch is a colloquial term used in reference to the devil, indicating a grim context in discussions about death.""Old Scratch is a colloquial term used in reference to the devil, indicating a grim context in discussions about death.""Old Scratch is a colloquial term used in reference to the devil, indicating a grim context in discussions about death.""Old Scratch is a colloquial term used in reference to the devil, indicating a grim context in discussions about death.""Old Scratch is mentioned as a figure related to the conversation, symbolizing mischief and humor."', 'source_id': 'chunk-f1a4fbcf1ed86864b9bfd5e8dba4c683chunk-89777b838d5447c7bd1ec11282c4ee89'} -2024-10-30 06:45:12,123 - lightrag - INFO - get_node:query:MATCH (n:`THE MEETING`) RETURN n:result: -2024-10-30 06:45:12,257 - lightrag - INFO - _do_upsert:query: - MERGE (n:`THE MEETING`) - SET n += $properties - RETURN n - :result:{'entity_type': '"EVENT"', 'description': '"The Meeting is characterized by light-hearted banter among characters regarding the funeral and their connections to the deceased."', 'source_id': 'chunk-f1a4fbcf1ed86864b9bfd5e8dba4c683'} -2024-10-30 06:45:12,381 - lightrag - INFO - get_node:query:MATCH (n:`THE PHANTOM`) RETURN n:result:"The Phantom represents a ghostly presence guiding Scrooge through reflections on his life and future decisions.""The Phantom represents a ghostly presence guiding Scrooge through reflections on his life and future decisions.""The Phantom represents a ghostly presence guiding Scrooge through reflections on his life and future decisions.""The Phantom represents the supernatural element in Scrooge\'s journey of self-reflection and moral awakening."', 'source_id': 'chunk-f1a4fbcf1ed86864b9bfd5e8dba4c683'}> -2024-10-30 06:45:12,512 - lightrag - INFO - _do_upsert:query: - MERGE (n:`THE PHANTOM`) - SET n += $properties - RETURN n - :result:{'entity_type': '"ORGANIZATION"', 'description': '"The Phantom represents a ghostly presence guiding Scrooge through reflections on his life and future decisions.""The Phantom represents a ghostly presence guiding Scrooge through reflections on his life and future decisions.""The Phantom represents a ghostly presence guiding Scrooge through reflections on his life and future decisions.""The Phantom represents a ghostly presence guiding Scrooge through reflections on his life and future decisions.""The Phantom represents a ghostly presence guiding Scrooge through reflections on his life and future decisions.""The Phantom represents the supernatural element in Scrooge\'s journey of self-reflection and moral awakening."', 'source_id': 'chunk-f1a4fbcf1ed86864b9bfd5e8dba4c683'} -2024-10-30 06:45:12,637 - lightrag - INFO - get_node:query:MATCH (n:`THE QUARTER`) RETURN n:result: -2024-10-30 06:45:12,769 - lightrag - INFO - _do_upsert:query: - MERGE (n:`THE QUARTER`) - SET n += $properties - RETURN n - :result:{'entity_type': '"GEO"', 'description': '"The Quarter is a depiction of an impoverished and crime-ridden area of the town, emphasizing societal neglect."', 'source_id': 'chunk-f1a4fbcf1ed86864b9bfd5e8dba4c683'} -2024-10-30 06:45:12,897 - lightrag - INFO - get_node:query:MATCH (n:`THE COAL SHOP`) RETURN n:result: -2024-10-30 06:45:13,031 - lightrag - INFO - _do_upsert:query: - MERGE (n:`THE COAL SHOP`) - SET n += $properties - RETURN n - :result:{'entity_type': '"ORGANIZATION"', 'description': '"The Coal Shop is a den of lowly transactions that signifies the harsh living conditions experienced by the characters in the quarter."', 'source_id': 'chunk-f1a4fbcf1ed86864b9bfd5e8dba4c683'} -2024-10-30 06:45:13,165 - lightrag - INFO - get_node:query:MATCH (n:`MISCELLANEOUS TATTERS`) RETURN n:result: -2024-10-30 06:45:13,298 - lightrag - INFO - _do_upsert:query: - MERGE (n:`MISCELLANEOUS TATTERS`) - SET n += $properties - RETURN n - :result:{'entity_type': '"CONCEPT"', 'description': '"Miscellaneous Tatters symbolize the shabby and worn conditions surrounding the characters in the Low-Browed Shop."', 'source_id': 'chunk-f1a4fbcf1ed86864b9bfd5e8dba4c683'} -2024-10-30 06:45:13,421 - lightrag - INFO - get_node:query:MATCH (n:`THE CHARCOAL STOVE`) RETURN n:result: -2024-10-30 06:45:13,552 - lightrag - INFO - _do_upsert:query: - MERGE (n:`THE CHARCOAL STOVE`) - SET n += $properties - RETURN n - :result:{'entity_type': '"TECHNOLOGY"', 'description': '"The Charcoal Stove is a humble source of warmth within the Low-Browed Shop, indicative of the bleak environment."', 'source_id': 'chunk-f1a4fbcf1ed86864b9bfd5e8dba4c683'} -2024-10-30 06:45:13,677 - lightrag - INFO - get_node:query:MATCH (n:`OLD JOE`) RETURN n:result:"Old Joe is a grey-haired man who runs a shop where people come to sell their belongings after a death, embodying a rough, pragmatic character.""Old Joe is a grey-haired man who runs a shop where people come to sell their belongings after a death, embodying a rough, pragmatic character.""Old Joe is a grey-haired man who runs a shop where people come to sell their belongings after a death, embodying a rough, pragmatic character.""Old Joe is a grey-haired man, nearly seventy years old, who runs a shop and conducts business in a rather nonchalant manner, showcasing a certain charm amidst his questionable dealings."', 'source_id': 'chunk-60fc063c79fc0d4acc91a57e79de04dc'}> -2024-10-30 06:45:13,807 - lightrag - INFO - _do_upsert:query: - MERGE (n:`OLD JOE`) - SET n += $properties - RETURN n - :result:{'entity_type': '"PERSON"', 'description': '"Old Joe is a grey-haired man who runs a shop where people come to sell their belongings after a death, embodying a rough, pragmatic character.""Old Joe is a grey-haired man who runs a shop where people come to sell their belongings after a death, embodying a rough, pragmatic character.""Old Joe is a grey-haired man who runs a shop where people come to sell their belongings after a death, embodying a rough, pragmatic character.""Old Joe is a grey-haired man who runs a shop where people come to sell their belongings after a death, embodying a rough, pragmatic character.""Old Joe is a grey-haired man who runs a shop where people come to sell their belongings after a death, embodying a rough, pragmatic character.""Old Joe is a grey-haired man, nearly seventy years old, who runs a shop and conducts business in a rather nonchalant manner, showcasing a certain charm amidst his questionable dealings."', 'source_id': 'chunk-60fc063c79fc0d4acc91a57e79de04dc'} -2024-10-30 06:45:13,936 - lightrag - INFO - get_node:query:MATCH (n:`MRS. DILBER`) RETURN n:result:"Mrs. Dilber is a laundress who participates in the gathering, commenting on the morality of their actions with a laugh.""Mrs. Dilber is a laundress who participates in the gathering, commenting on the morality of their actions with a laugh.""Mrs. Dilber is a laundress who participates in the gathering, commenting on the morality of their actions with a laugh.""Mrs. Dilber is a laundress who participates in the gathering, commenting on the morality of their actions with a laugh."', 'source_id': 'chunk-60fc063c79fc0d4acc91a57e79de04dc'}> -2024-10-30 06:45:14,066 - lightrag - INFO - _do_upsert:query: - MERGE (n:`MRS. DILBER`) - SET n += $properties - RETURN n - :result:{'entity_type': '"PERSON"', 'description': '"Mrs. Dilber is a laundress who is involved in the discussion about the belongings they are handling, exhibiting a pragmatic attitude towards the situation.""Mrs. Dilber is a laundress who participates in the gathering, commenting on the morality of their actions with a laugh.""Mrs. Dilber is a laundress who participates in the gathering, commenting on the morality of their actions with a laugh.""Mrs. Dilber is a laundress who participates in the gathering, commenting on the morality of their actions with a laugh.""Mrs. Dilber is a laundress who participates in the gathering, commenting on the morality of their actions with a laugh.""Mrs. Dilber is a laundress who participates in the gathering, commenting on the morality of their actions with a laugh."', 'source_id': 'chunk-60fc063c79fc0d4acc91a57e79de04dc'} -2024-10-30 06:45:14,195 - lightrag - INFO - get_node:query:MATCH (n:`THE MAN IN FADED BLACK`) RETURN n:result: -2024-10-30 06:45:14,330 - lightrag - INFO - _do_upsert:query: - MERGE (n:`THE MAN IN FADED BLACK`) - SET n += $properties - RETURN n - :result:{'entity_type': '"PERSON"', 'description': '"The Man in Faded Black is a character who, echoing the sentiments of the others, reveals his modest haul of stolen goods during the gathering."', 'source_id': 'chunk-60fc063c79fc0d4acc91a57e79de04dc'} -2024-10-30 06:45:14,455 - lightrag - INFO - get_node:query:MATCH (n:`THE SHOP`) RETURN n:result:"The Shop is a setting where characters gather to appraise items they have taken from the deceased, reflecting their attitudes towards death and morality.""The Shop is a setting where characters gather to appraise items they have taken from the deceased, reflecting their attitudes towards death and morality.""The Shop is a setting where characters gather to appraise items they have taken from the deceased, reflecting their attitudes towards death and morality.""The Shop is a setting where characters gather to appraise items they have taken from the deceased, reflecting their attitudes towards death and morality."', 'source_id': 'chunk-60fc063c79fc0d4acc91a57e79de04dc'}> -2024-10-30 06:45:14,587 - lightrag - INFO - _do_upsert:query: - MERGE (n:`THE SHOP`) - SET n += $properties - RETURN n - :result:{'entity_type': '"ORGANIZATION"', 'description': '"The Shop is Old Joe\'s place of business and serves as the meeting location for the characters, where they evaluate and exchange stolen items.""The Shop is a setting where characters gather to appraise items they have taken from the deceased, reflecting their attitudes towards death and morality.""The Shop is a setting where characters gather to appraise items they have taken from the deceased, reflecting their attitudes towards death and morality.""The Shop is a setting where characters gather to appraise items they have taken from the deceased, reflecting their attitudes towards death and morality.""The Shop is a setting where characters gather to appraise items they have taken from the deceased, reflecting their attitudes towards death and morality.""The Shop is a setting where characters gather to appraise items they have taken from the deceased, reflecting their attitudes towards death and morality."', 'source_id': 'chunk-60fc063c79fc0d4acc91a57e79de04dc'} -2024-10-30 06:45:14,713 - lightrag - INFO - get_node:query:MATCH (n:`THE BUNDLE`) RETURN n:result:"The Bundle contains the belongings of the deceased man, which serve as a focal point for discussion among the characters regarding value and morality.""The Bundle contains the belongings of the deceased man, which serve as a focal point for discussion among the characters regarding value and morality.""The Bundle contains the belongings of the deceased man, which serve as a focal point for discussion among the characters regarding value and morality.""The Bundle refers to the collection of stolen items brought by the characters to Old Joe\'s shop for appraisal, symbolizing their actions post-death.""The Bundle refers to the collection of stolen items that the characters present to Old Joe for appraisal.""The Bundle refers to the collection of stolen items brought by the characters to Old Joe\'s shop for appraisal, symbolizing their actions post-death.""The Bundle refers to the collection of stolen items brought by the characters to Old Joe\'s shop for appraisal, symbolizing their actions post-death.""The Bundle refers to the collection of stolen items brought by the characters to Old Joe\'s shop for appraisal, symbolizing their actions post-death."', 'source_id': 'chunk-e1f29eeadc1d8ab46dc8a0bbd3c56b64chunk-60fc063c79fc0d4acc91a57e79de04dc'}> -2024-10-30 06:45:14,843 - lightrag - INFO - _do_upsert:query: - MERGE (n:`THE BUNDLE`) - SET n += $properties - RETURN n - :result:{'entity_type': '"EVENT"', 'description': '"The Bundle contains the belongings of the deceased man, which serve as a focal point for discussion among the characters regarding value and morality.""The Bundle contains the belongings of the deceased man, which serve as a focal point for discussion among the characters regarding value and morality.""The Bundle contains the belongings of the deceased man, which serve as a focal point for discussion among the characters regarding value and morality.""The Bundle contains the belongings of the deceased man, which serve as a focal point for discussion among the characters regarding value and morality.""The Bundle contains the belongings of the deceased man, which serve as a focal point for discussion among the characters regarding value and morality.""The Bundle refers to the collection of stolen items brought by the characters to Old Joe\'s shop for appraisal, symbolizing their actions post-death.""The Bundle refers to the collection of stolen items that the characters present to Old Joe for appraisal.""The Bundle refers to the collection of stolen items brought by the characters to Old Joe\'s shop for appraisal, symbolizing their actions post-death.""The Bundle refers to the collection of stolen items brought by the characters to Old Joe\'s shop for appraisal, symbolizing their actions post-death.""The Bundle refers to the collection of stolen items brought by the characters to Old Joe\'s shop for appraisal, symbolizing their actions post-death.""The Bundle refers to the collection of stolen items brought by the characters to Old Joe\'s shop for appraisal, symbolizing their actions post-death."', 'source_id': 'chunk-e1f29eeadc1d8ab46dc8a0bbd3c56b64chunk-60fc063c79fc0d4acc91a57e79de04dc'} -2024-10-30 06:45:14,975 - lightrag - INFO - get_node:query:MATCH (n:`THE DEATH`) RETURN n:result: -2024-10-30 06:45:15,109 - lightrag - INFO - _do_upsert:query: - MERGE (n:`THE DEATH`) - SET n += $properties - RETURN n - :result:{'entity_type': '"EVENT"', 'description': '"The Death signifies the passing of a man whose belongings are being appraised, influencing the motivations and actions of the characters."', 'source_id': 'chunk-60fc063c79fc0d4acc91a57e79de04dc'} -2024-10-30 06:45:15,231 - lightrag - INFO - get_node:query:MATCH (n:`THE STOLEN GOODS`) RETURN n:result: -2024-10-30 06:45:15,366 - lightrag - INFO - _do_upsert:query: - MERGE (n:`THE STOLEN GOODS`) - SET n += $properties - RETURN n - :result:{'entity_type': '"EVENT"', 'description': '"The Stolen Goods are the items that the characters bring to Old Joe for evaluation, highlighting their moral stance and the circumstances surrounding the death."', 'source_id': 'chunk-60fc063c79fc0d4acc91a57e79de04dc'} -2024-10-30 06:45:15,489 - lightrag - INFO - get_node:query:MATCH (n:`THE ACCUSATION`) RETURN n:result: -2024-10-30 06:45:15,616 - lightrag - INFO - _do_upsert:query: - MERGE (n:`THE ACCUSATION`) - SET n += $properties - RETURN n - :result:{'entity_type': '"EVENT"', 'description': '"The Accusation refers to the implied judgement of the deceased\'s character that the characters discuss while evaluating their actions."', 'source_id': 'chunk-60fc063c79fc0d4acc91a57e79de04dc'} -2024-10-30 06:45:15,741 - lightrag - INFO - get_node:query:MATCH (n:`THE PARLOUR`) RETURN n:result: -2024-10-30 06:45:15,873 - lightrag - INFO - _do_upsert:query: - MERGE (n:`THE PARLOUR`) - SET n += $properties - RETURN n - :result:{'entity_type': '"LOCATION"', 'description': '"The Parlour is the private space behind the shop curtain where the characters engage in conversation and appraisal, symbolizing a shift from public to private."', 'source_id': 'chunk-60fc063c79fc0d4acc91a57e79de04dc'} -2024-10-30 06:45:15,997 - lightrag - INFO - get_node:query:MATCH (n:`THE RAGS`) RETURN n:result: -2024-10-30 06:45:16,130 - lightrag - INFO - _do_upsert:query: - MERGE (n:`THE RAGS`) - SET n += $properties - RETURN n - :result:{'entity_type': '"CONCEPT"', 'description': '"The Rags serve as a metaphor for the characters\' grim circumstances and the societal implications of their gathering, accentuating the theme of decay and neglect."', 'source_id': 'chunk-60fc063c79fc0d4acc91a57e79de04dc'} -2024-10-30 06:45:16,257 - lightrag - INFO - get_node:query:MATCH (n:`THE COLD AIR`) RETURN n:result: -2024-10-30 06:45:16,392 - lightrag - INFO - _do_upsert:query: - MERGE (n:`THE COLD AIR`) - SET n += $properties - RETURN n - :result:{'entity_type': '"CONCEPT"', 'description': '"The Cold Air symbolizes the harsh realities surrounding the characters and their actions, emphasizing the atmosphere of deprivation."', 'source_id': 'chunk-60fc063c79fc0d4acc91a57e79de04dc'} -2024-10-30 06:45:16,516 - lightrag - INFO - get_node:query:MATCH (n:`JUDGMENT`) RETURN n:result: -2024-10-30 06:45:16,646 - lightrag - INFO - _do_upsert:query: - MERGE (n:`JUDGMENT`) - SET n += $properties - RETURN n - :result:{'entity_type': '"CONCEPT"', 'description': '"Judgment here refers to the characters\' reflections on morality regarding their actions after the death, questioning societal norms and individual ethics."', 'source_id': 'chunk-60fc063c79fc0d4acc91a57e79de04dc'} -2024-10-30 06:45:16,776 - lightrag - INFO - get_node:query:MATCH (n:`THE LAUGHTER`) RETURN n:result: -2024-10-30 06:45:16,903 - lightrag - INFO - _do_upsert:query: - MERGE (n:`THE LAUGHTER`) - SET n += $properties - RETURN n - :result:{'entity_type': '"EVENT"', 'description': '"The Laughter represents a shared moment among the characters that highlights their camaraderie in the struggle against their grim realities."', 'source_id': 'chunk-60fc063c79fc0d4acc91a57e79de04dc'} -2024-10-30 06:45:17,032 - lightrag - INFO - get_node:query:MATCH (n:`THE DECEASED MAN`) RETURN n:result: -2024-10-30 06:45:17,162 - lightrag - INFO - _do_upsert:query: - MERGE (n:`THE DECEASED MAN`) - SET n += $properties - RETURN n - :result:{'entity_type': '"PERSON"', 'description': '"The Deceased Man is a character whose belongings are being discussed and whose death prompts reactions of horror and contemplation from Scrooge."', 'source_id': 'chunk-e1f29eeadc1d8ab46dc8a0bbd3c56b64'} -2024-10-30 06:45:17,288 - lightrag - INFO - get_node:query:MATCH (n:`DEATH`) RETURN n:result:"Death is described as a powerful force in the narrative, represented through the imagery of a cold, rigid presence and the contemplation of mortality.""Death refers to the passing of a character that triggers a range of emotions and reflections among the living, influencing their lives and relationships.""Death is depicted as a cold, inevitable force, prompting reflections on the value of life and the consequences of avarice.""Death is depicted as a cold, inevitable force, prompting reflections on the value of life and the consequences of avarice.""Death is depicted as a cold, inevitable force, prompting reflections on the value of life and the consequences of avarice.""Death is depicted as a cold, inevitable force, prompting reflections on the value of life and the consequences of avarice."', 'source_id': 'chunk-83ac129dc9b56f84c46760d153d68e93chunk-e1f29eeadc1d8ab46dc8a0bbd3c56b64chunk-02baee20cc9463dbe08170a8e1043e32'}> -2024-10-30 06:45:17,424 - lightrag - INFO - _do_upsert:query: - MERGE (n:`DEATH`) - SET n += $properties - RETURN n - :result:{'entity_type': '"CONCEPT"', 'description': '"Death in the story is a significant event that triggers discussion among the Businessmen and prompts Scrooge\'s reflections.""Death is described as a powerful force in the narrative, represented through the imagery of a cold, rigid presence and the contemplation of mortality.""Death refers to the passing of a character that triggers a range of emotions and reflections among the living, influencing their lives and relationships.""Death is depicted as a cold, inevitable force, prompting reflections on the value of life and the consequences of avarice.""Death is depicted as a cold, inevitable force, prompting reflections on the value of life and the consequences of avarice.""Death is depicted as a cold, inevitable force, prompting reflections on the value of life and the consequences of avarice.""Death is depicted as a cold, inevitable force, prompting reflections on the value of life and the consequences of avarice.""Death is depicted as a cold, inevitable force, prompting reflections on the value of life and the consequences of avarice."', 'source_id': 'chunk-e1f29eeadc1d8ab46dc8a0bbd3c56b64chunk-83ac129dc9b56f84c46760d153d68e93chunk-02baee20cc9463dbe08170a8e1043e32'} -2024-10-30 06:45:17,550 - lightrag - INFO - get_node:query:MATCH (n:`THE BED`) RETURN n:result:"The Bed represents a significant scene where the deceased man\'s body is laid, evoking deep emotions and realizations about life and morality.""The Bed represents a significant scene where the deceased man\'s body is laid, evoking deep emotions and realizations about life and morality.""The Bed represents a significant scene where the deceased man\'s body is laid, evoking deep emotions and realizations about life and morality.""The Bed represents a significant scene where the deceased man\'s body is laid, evoking deep emotions and realizations about life and morality."', 'source_id': 'chunk-e1f29eeadc1d8ab46dc8a0bbd3c56b64'}> -2024-10-30 06:45:17,677 - lightrag - INFO - _do_upsert:query: - MERGE (n:`THE BED`) - SET n += $properties - RETURN n - :result:{'entity_type': '"EVENT"', 'description': '"The Bed represents a central object in the scene, symbolizing the final resting place of The Deceased and contributing to the themes of mortality and neglect.""The Bed represents a significant scene where the deceased man\'s body is laid, evoking deep emotions and realizations about life and morality.""The Bed represents a significant scene where the deceased man\'s body is laid, evoking deep emotions and realizations about life and morality.""The Bed represents a significant scene where the deceased man\'s body is laid, evoking deep emotions and realizations about life and morality.""The Bed represents a significant scene where the deceased man\'s body is laid, evoking deep emotions and realizations about life and morality.""The Bed represents a significant scene where the deceased man\'s body is laid, evoking deep emotions and realizations about life and morality."', 'source_id': 'chunk-e1f29eeadc1d8ab46dc8a0bbd3c56b64'} -2024-10-30 06:45:17,804 - lightrag - INFO - get_node:query:MATCH (n:`THE BLANKETS`) RETURN n:result:"The Blankets are associated with the deceased man\'s body, symbolizing care and the human connection to the dead.""The Blankets are associated with the deceased man\'s body, symbolizing care and the human connection to the dead.""The Blankets are associated with the deceased man\'s body, symbolizing care and the human connection to the dead.""The Blankets are discussed in the context of the deceased\'s possessions, highlighting themes of care and abandonment after death."', 'source_id': 'chunk-e1f29eeadc1d8ab46dc8a0bbd3c56b64'}> -2024-10-30 06:45:17,941 - lightrag - INFO - _do_upsert:query: - MERGE (n:`THE BLANKETS`) - SET n += $properties - RETURN n - :result:{'entity_type': '"CONCEPT"', 'description': '"The Blankets are associated with the deceased man\'s body, symbolizing care and the human connection to the dead.""The Blankets are associated with the deceased man\'s body, symbolizing care and the human connection to the dead.""The Blankets are associated with the deceased man\'s body, symbolizing care and the human connection to the dead.""The Blankets are associated with the deceased man\'s body, symbolizing care and the human connection to the dead.""The Blankets are associated with the deceased man\'s body, symbolizing care and the human connection to the dead.""The Blankets are discussed in the context of the deceased\'s possessions, highlighting themes of care and abandonment after death."', 'source_id': 'chunk-e1f29eeadc1d8ab46dc8a0bbd3c56b64'} -2024-10-30 06:45:18,075 - lightrag - INFO - get_node:query:MATCH (n:`THE OIL`) RETURN n:result: -2024-10-30 06:45:18,207 - lightrag - INFO - _do_upsert:query: - MERGE (n:`THE OIL`) - SET n += $properties - RETURN n - :result:{'entity_type': '"CONCEPT"', 'description': '"The Oil is a material that the woman is cautious about spilling, representing the practical and sometimes distasteful attitude towards the deceased\'s belongings."', 'source_id': 'chunk-e1f29eeadc1d8ab46dc8a0bbd3c56b64'} -2024-10-30 06:45:18,340 - lightrag - INFO - get_node:query:MATCH (n:`THE SHIRT`) RETURN n:result: -2024-10-30 06:45:18,473 - lightrag - INFO - _do_upsert:query: - MERGE (n:`THE SHIRT`) - SET n += $properties - RETURN n - :result:{'entity_type': '"CONCEPT"', 'description': '"The Shirt belonged to the deceased man and is evaluated by the woman who claims it is in good condition, further emphasizing her pragmatic approach to death."', 'source_id': 'chunk-e1f29eeadc1d8ab46dc8a0bbd3c56b64'} -2024-10-30 06:45:18,599 - lightrag - INFO - get_node:query:MATCH (n:`THE FLANNEL BAG`) RETURN n:result:"The Flannel Bag is used by Joe to show the money gained from their dealings with the deceased, highlighting the theme of profit from death.""The Flannel Bag is used by Joe to show the money gained from their dealings with the deceased, highlighting the theme of profit from death.""The Flannel Bag is used by Joe to show the money gained from their dealings with the deceased, highlighting the theme of profit from death.""The Flannel Bag is used by Joe to show the money gained from their dealings with the deceased, highlighting the theme of profit from death."', 'source_id': 'chunk-e1f29eeadc1d8ab46dc8a0bbd3c56b64'}> -2024-10-30 06:45:18,733 - lightrag - INFO - _do_upsert:query: - MERGE (n:`THE FLANNEL BAG`) - SET n += $properties - RETURN n - :result:{'entity_type': '"CONCEPT"', 'description': '"The Flannel Bag contains money and symbolizes the materialistic aspects of life and the relationships surrounding The Deceased’s possessions.""The Flannel Bag is used by Joe to show the money gained from their dealings with the deceased, highlighting the theme of profit from death.""The Flannel Bag is used by Joe to show the money gained from their dealings with the deceased, highlighting the theme of profit from death.""The Flannel Bag is used by Joe to show the money gained from their dealings with the deceased, highlighting the theme of profit from death.""The Flannel Bag is used by Joe to show the money gained from their dealings with the deceased, highlighting the theme of profit from death.""The Flannel Bag is used by Joe to show the money gained from their dealings with the deceased, highlighting the theme of profit from death."', 'source_id': 'chunk-e1f29eeadc1d8ab46dc8a0bbd3c56b64'} -2024-10-30 06:45:18,858 - lightrag - INFO - get_node:query:MATCH (n:`OLD MAN'S LAMP`) RETURN n:result: -2024-10-30 06:45:18,993 - lightrag - INFO - _do_upsert:query: - MERGE (n:`OLD MAN'S LAMP`) - SET n += $properties - RETURN n - :result:{'entity_type': '"CONCEPT"', 'description': '"The Old Man\'s Lamp provides scant light in the scene, contributing to the mood of tension and eeriness surrounding the deceased."', 'source_id': 'chunk-e1f29eeadc1d8ab46dc8a0bbd3c56b64'} -2024-10-30 06:45:19,121 - lightrag - INFO - get_node:query:MATCH (n:`THE CORPSE`) RETURN n:result: -2024-10-30 06:45:19,256 - lightrag - INFO - _do_upsert:query: - MERGE (n:`THE CORPSE`) - SET n += $properties - RETURN n - :result:{'entity_type': '"PERSON"', 'description': '"The Corpse represents the deceased man whose belongings are being discussed, serving as a stark reminder of mortality."', 'source_id': 'chunk-e1f29eeadc1d8ab46dc8a0bbd3c56b64'} -2024-10-30 06:45:19,385 - lightrag - INFO - get_node:query:MATCH (n:`THE DARK ROOM`) RETURN n:result:"The Dark Room is where the corpse lies, symbolizing isolation and the lack of care for the deceased.""The Dark Room is where the corpse lies, symbolizing isolation and the lack of care for the deceased.""The Dark Room is where the corpse lies, symbolizing isolation and the lack of care for the deceased.""The Dark Room serves as the setting for the scene, enhancing the atmosphere of dread and the theme of impending death."', 'source_id': 'chunk-e1f29eeadc1d8ab46dc8a0bbd3c56b64'}> -2024-10-30 06:45:19,516 - lightrag - INFO - _do_upsert:query: - MERGE (n:`THE DARK ROOM`) - SET n += $properties - RETURN n - :result:{'entity_type': '"GEO"', 'description': '"The Dark Room is where the corpse lies, symbolizing isolation and the lack of care for the deceased.""The Dark Room is where the corpse lies, symbolizing isolation and the lack of care for the deceased.""The Dark Room is where the corpse lies, symbolizing isolation and the lack of care for the deceased.""The Dark Room is where the corpse lies, symbolizing isolation and the lack of care for the deceased.""The Dark Room is where the corpse lies, symbolizing isolation and the lack of care for the deceased.""The Dark Room serves as the setting for the scene, enhancing the atmosphere of dread and the theme of impending death."', 'source_id': 'chunk-e1f29eeadc1d8ab46dc8a0bbd3c56b64'} -2024-10-30 06:45:19,644 - lightrag - INFO - get_node:query:MATCH (n:`CAROLINE`) RETURN n:result:"Caroline is portrayed as a mother filled with hope and emotion regarding her husband’s situation, revealing her character through her reactions to news.""Caroline is portrayed as a mother filled with hope and emotion regarding her husband’s situation, revealing her character through her reactions to news.""Caroline is portrayed as a mother filled with hope and emotion regarding her husband’s situation, revealing her character through her reactions to news.""Caroline is portrayed as a mother filled with hope and emotion regarding her husband’s situation, revealing her character through her reactions to news."', 'source_id': 'chunk-83ac129dc9b56f84c46760d153d68e93'}> -2024-10-30 06:45:19,778 - lightrag - INFO - _do_upsert:query: - MERGE (n:`CAROLINE`) - SET n += $properties - RETURN n - :result:{'entity_type': '"PERSON"', 'description': '"Caroline is a character representing hope and emotional depth, reacting to her husband\'s news about their financial situation with a mixture of dread and optimism.""Caroline is portrayed as a mother filled with hope and emotion regarding her husband’s situation, revealing her character through her reactions to news.""Caroline is portrayed as a mother filled with hope and emotion regarding her husband’s situation, revealing her character through her reactions to news.""Caroline is portrayed as a mother filled with hope and emotion regarding her husband’s situation, revealing her character through her reactions to news.""Caroline is portrayed as a mother filled with hope and emotion regarding her husband’s situation, revealing her character through her reactions to news.""Caroline is portrayed as a mother filled with hope and emotion regarding her husband’s situation, revealing her character through her reactions to news."', 'source_id': 'chunk-83ac129dc9b56f84c46760d153d68e93'} -2024-10-30 06:45:19,906 - lightrag - INFO - get_node:query:MATCH (n:`THE CRATCHIT HOUSE`) RETURN n:result: -2024-10-30 06:45:20,041 - lightrag - INFO - _do_upsert:query: - MERGE (n:`THE CRATCHIT HOUSE`) - SET n += $properties - RETURN n - :result:{'entity_type': '"ORGANIZATION"', 'description': '"The Cratchit House symbolizes a place of familial connection and warmth, despite the hardships faced by its inhabitants."', 'source_id': 'chunk-83ac129dc9b56f84c46760d153d68e93'} -2024-10-30 06:45:20,166 - lightrag - INFO - get_node:query:MATCH (n:`THE EVENT OF DEATH`) RETURN n:result: -2024-10-30 06:45:20,298 - lightrag - INFO - _do_upsert:query: - MERGE (n:`THE EVENT OF DEATH`) - SET n += $properties - RETURN n - :result:{'entity_type': '"EVENT"', 'description': '"The Event of Death signifies a pivotal moment affecting the characters, transitioning their emotional state and family dynamics."', 'source_id': 'chunk-83ac129dc9b56f84c46760d153d68e93'} -2024-10-30 06:45:20,426 - lightrag - INFO - get_node:query:MATCH (n:`THE HUSBAND`) RETURN n:result: -2024-10-30 06:45:20,556 - lightrag - INFO - _do_upsert:query: - MERGE (n:`THE HUSBAND`) - SET n += $properties - RETURN n - :result:{'entity_type': '"PERSON"', 'description': '"The Husband is depicted as a careworn man, bringing news that impacts his family\'s emotional state, symbolizing the struggle between hope and despair."', 'source_id': 'chunk-83ac129dc9b56f84c46760d153d68e93'} -2024-10-30 06:45:20,678 - lightrag - INFO - get_node:query:MATCH (n:`PETER`) RETURN n:result:"Peter is one of the Cratchit children, who occasionally expresses a sense of duty and future aspirations, contributing to family discussions.""Peter is a son in the Cratchit family, responsible and calm, attempting to engage his siblings amidst a tense family situation and financial uncertainty.""Peter is the son of Bob and Mrs. Cratchit, showing concern and support for his father and siblings.""Peter is a son in the Cratchit family, responsible and calm, attempting to engage his siblings amidst a tense family situation and financial uncertainty.""Peter is the son of Bob and Mrs. Cratchit, showing concern and support for his father and siblings.""Peter is a son in the Cratchit family, responsible and calm, attempting to engage his siblings amidst a tense family situation and financial uncertainty.""Peter is the son of Bob and Mrs. Cratchit, showing concern and support for his father and siblings.""Peter is a son in the Cratchit family, responsible and calm, attempting to engage his siblings amidst a tense family situation and financial uncertainty.""Peter is the son of Bob and Mrs. Cratchit, showing concern and support for his father and siblings."', 'source_id': 'chunk-1d4b58de5429cd1261370c231c8673e8chunk-83ac129dc9b56f84c46760d153d68e93'}> -2024-10-30 06:45:20,809 - lightrag - INFO - _do_upsert:query: - MERGE (n:`PETER`) - SET n += $properties - RETURN n - :result:{'entity_type': '"PERSON"', 'description': '"Peter is a member of the Cratchit family, characterized by his quiet demeanor while being engaged in reading, representing the next generation\'s concern.""Peter is one of the Cratchit children, who occasionally expresses a sense of duty and future aspirations, contributing to family discussions.""Peter is a son in the Cratchit family, responsible and calm, attempting to engage his siblings amidst a tense family situation and financial uncertainty.""Peter is the son of Bob and Mrs. Cratchit, showing concern and support for his father and siblings.""Peter is a son in the Cratchit family, responsible and calm, attempting to engage his siblings amidst a tense family situation and financial uncertainty.""Peter is the son of Bob and Mrs. Cratchit, showing concern and support for his father and siblings.""Peter is a son in the Cratchit family, responsible and calm, attempting to engage his siblings amidst a tense family situation and financial uncertainty.""Peter is the son of Bob and Mrs. Cratchit, showing concern and support for his father and siblings.""Peter is a son in the Cratchit family, responsible and calm, attempting to engage his siblings amidst a tense family situation and financial uncertainty.""Peter is the son of Bob and Mrs. Cratchit, showing concern and support for his father and siblings.""Peter is a son in the Cratchit family, responsible and calm, attempting to engage his siblings amidst a tense family situation and financial uncertainty.""Peter is the son of Bob and Mrs. Cratchit, showing concern and support for his father and siblings."', 'source_id': 'chunk-83ac129dc9b56f84c46760d153d68e93chunk-1d4b58de5429cd1261370c231c8673e8'} -2024-10-30 06:45:20,945 - lightrag - INFO - get_node:query:MATCH (n:`THE DEBT`) RETURN n:result: -2024-10-30 06:45:21,077 - lightrag - INFO - _do_upsert:query: - MERGE (n:`THE DEBT`) - SET n += $properties - RETURN n - :result:{'entity_type': '"CONCEPT"', 'description': '"The Debt symbolizes the financial burdens faced by the Cratchit family, a source of anxiety and tension impacting their morale and outlook."', 'source_id': 'chunk-83ac129dc9b56f84c46760d153d68e93'} -2024-10-30 06:45:21,207 - lightrag - INFO - get_node:query:MATCH (n:`MR. SCROOGE'S NEPHEW`) RETURN n:result:"Mr. Scrooge\'s Nephew is a kind gentleman who expresses sympathy for Bob Cratchit and offers help, reflecting goodwill.""Mr. Scrooge\'s Nephew is a kind gentleman who expresses sympathy for Bob Cratchit and offers help, reflecting goodwill.""Mr. Scrooge\'s Nephew is a kind gentleman who expresses sympathy for Bob Cratchit and offers help, reflecting goodwill.""Mr. Scrooge\'s Nephew is a kind gentleman who shows concern for Bob Cratchit and offers support, symbolizing generosity and compassion."', 'source_id': 'chunk-1d4b58de5429cd1261370c231c8673e8'}> -2024-10-30 06:45:21,340 - lightrag - INFO - _do_upsert:query: - MERGE (n:`MR. SCROOGE'S NEPHEW`) - SET n += $properties - RETURN n - :result:{'entity_type': '"PERSON"', 'description': '"Mr. Scrooge\'s Nephew is a kind gentleman who expresses sympathy for Bob Cratchit and offers help, reflecting goodwill.""Mr. Scrooge\'s Nephew is a kind gentleman who expresses sympathy for Bob Cratchit and offers help, reflecting goodwill.""Mr. Scrooge\'s Nephew is a kind gentleman who expresses sympathy for Bob Cratchit and offers help, reflecting goodwill.""Mr. Scrooge\'s Nephew is a kind gentleman who expresses sympathy for Bob Cratchit and offers help, reflecting goodwill.""Mr. Scrooge\'s Nephew is a kind gentleman who expresses sympathy for Bob Cratchit and offers help, reflecting goodwill.""Mr. Scrooge\'s Nephew is a kind gentleman who shows concern for Bob Cratchit and offers support, symbolizing generosity and compassion."', 'source_id': 'chunk-1d4b58de5429cd1261370c231c8673e8'} -2024-10-30 06:45:21,473 - lightrag - INFO - get_node:query:MATCH (n:`THE TWO YOUNG CRATCHITS`) RETURN n:result:"The Two Young Cratchits are siblings who show affection for their father, demonstrating the innocence and unity of childhood.""The Two Young Cratchits are siblings who show affection for their father, demonstrating the innocence and unity of childhood.""The Two Young Cratchits are siblings who show affection for their father, demonstrating the innocence and unity of childhood.""The Two Young Cratchits are the younger children in the Cratchit family, who express affection towards their father, Bob."', 'source_id': 'chunk-1d4b58de5429cd1261370c231c8673e8'}> -2024-10-30 06:45:21,605 - lightrag - INFO - _do_upsert:query: - MERGE (n:`THE TWO YOUNG CRATCHITS`) - SET n += $properties - RETURN n - :result:{'entity_type': '"PERSON"', 'description': '"The Two Young Cratchits are siblings who show affection for their father, demonstrating the innocence and unity of childhood.""The Two Young Cratchits are siblings who show affection for their father, demonstrating the innocence and unity of childhood.""The Two Young Cratchits are siblings who show affection for their father, demonstrating the innocence and unity of childhood.""The Two Young Cratchits are siblings who show affection for their father, demonstrating the innocence and unity of childhood.""The Two Young Cratchits are siblings who show affection for their father, demonstrating the innocence and unity of childhood.""The Two Young Cratchits are the younger children in the Cratchit family, who express affection towards their father, Bob."', 'source_id': 'chunk-1d4b58de5429cd1261370c231c8673e8'} -2024-10-30 06:45:21,732 - lightrag - INFO - get_node:query:MATCH (n:`THE TABLE`) RETURN n:result: -2024-10-30 06:45:21,863 - lightrag - INFO - _do_upsert:query: - MERGE (n:`THE TABLE`) - SET n += $properties - RETURN n - :result:{'entity_type': '"GEO"', 'description': '"The Table is where the Cratchit family gathers, representing their domestic life and togetherness."', 'source_id': 'chunk-1d4b58de5429cd1261370c231c8673e8'} -2024-10-30 06:45:21,991 - lightrag - INFO - get_node:query:MATCH (n:`THE ROOM ABOVE`) RETURN n:result: -2024-10-30 06:45:22,125 - lightrag - INFO - _do_upsert:query: - MERGE (n:`THE ROOM ABOVE`) - SET n += $properties - RETURN n - :result:{'entity_type': '"GEO"', 'description': '"The Room Above is a space in the Cratchit household which is illuminated cheerfully, suggesting a haven despite their hardships."', 'source_id': 'chunk-1d4b58de5429cd1261370c231c8673e8'} -2024-10-30 06:45:22,249 - lightrag - INFO - get_node:query:MATCH (n:`THE GHOST OF CHRISTMAS YET TO COME`) RETURN n:result:"The Ghost of Christmas Yet to Come is a spirit that shows Scrooge the consequences of his actions, pointing toward his eventual demise.""The Ghost of Christmas Yet to Come reveals the potential consequences of Scrooge\'s current life choices, emphasizing themes of mortality and legacy.""The Ghost of Christmas Yet to Come is a spirit that shows Scrooge the consequences of his actions, pointing toward his eventual demise.""The Ghost of Christmas Yet to Come reveals the potential consequences of Scrooge\'s current life choices, emphasizing themes of mortality and legacy.""The Ghost of Christmas Yet to Come is a spirit that shows Scrooge the consequences of his actions, pointing toward his eventual demise.""The Ghost of Christmas Yet to Come reveals the potential consequences of Scrooge\'s current life choices, emphasizing themes of mortality and legacy.""The Ghost of Christmas Yet to Come is a spirit that shows Scrooge the consequences of his actions, pointing toward his eventual demise.""The Ghost of Christmas Yet to Come reveals the potential consequences of Scrooge\'s current life choices, emphasizing themes of mortality and legacy."', 'source_id': 'chunk-90b95db5c53e4364a6bee36b7aa4d70fchunk-91572b3cd42786ba4cb2f180ca25cbf4'}> -2024-10-30 06:45:22,383 - lightrag - INFO - _do_upsert:query: - MERGE (n:`THE GHOST OF CHRISTMAS YET TO COME`) - SET n += $properties - RETURN n - :result:{'entity_type': '"ORGANIZATION"', 'description': '"The Ghost of Christmas Yet to Come is a spectral being that guides Scrooge through visions of his potential future.""The Ghost of Christmas Yet to Come is a spirit that shows Scrooge the consequences of his actions, pointing toward his eventual demise.""The Ghost of Christmas Yet to Come reveals the potential consequences of Scrooge\'s current life choices, emphasizing themes of mortality and legacy.""The Ghost of Christmas Yet to Come is a spirit that shows Scrooge the consequences of his actions, pointing toward his eventual demise.""The Ghost of Christmas Yet to Come reveals the potential consequences of Scrooge\'s current life choices, emphasizing themes of mortality and legacy.""The Ghost of Christmas Yet to Come is a spirit that shows Scrooge the consequences of his actions, pointing toward his eventual demise.""The Ghost of Christmas Yet to Come reveals the potential consequences of Scrooge\'s current life choices, emphasizing themes of mortality and legacy.""The Ghost of Christmas Yet to Come is a spirit that shows Scrooge the consequences of his actions, pointing toward his eventual demise.""The Ghost of Christmas Yet to Come reveals the potential consequences of Scrooge\'s current life choices, emphasizing themes of mortality and legacy.""The Ghost of Christmas Yet to Come is a spirit that shows Scrooge the consequences of his actions, pointing toward his eventual demise.""The Ghost of Christmas Yet to Come reveals the potential consequences of Scrooge\'s current life choices, emphasizing themes of mortality and legacy."', 'source_id': 'chunk-91572b3cd42786ba4cb2f180ca25cbf4chunk-90b95db5c53e4364a6bee36b7aa4d70f'} -2024-10-30 06:45:22,516 - lightrag - INFO - get_node:query:MATCH (n:`GRAVE`) RETURN n:result: -2024-10-30 06:45:22,648 - lightrag - INFO - _do_upsert:query: - MERGE (n:`GRAVE`) - SET n += $properties - RETURN n - :result:{'entity_type': '"GEO"', 'description': '"The Grave represents a place where Scrooge\'s future self lies, symbolizing death and the consequences of a life unexamined."', 'source_id': 'chunk-91572b3cd42786ba4cb2f180ca25cbf4'} -2024-10-30 06:45:22,771 - lightrag - INFO - get_node:query:MATCH (n:`THE GRAVESTONE`) RETURN n:result: -2024-10-30 06:45:22,900 - lightrag - INFO - _do_upsert:query: - MERGE (n:`THE GRAVESTONE`) - SET n += $properties - RETURN n - :result:{'entity_type': '"GEO"', 'description': '"The Gravestone bears Scrooge\'s name and symbolizes mortality and the legacy of his actions during his lifetime."', 'source_id': 'chunk-91572b3cd42786ba4cb2f180ca25cbf4'} -2024-10-30 06:45:23,025 - lightrag - INFO - get_node:query:MATCH (n:`THE FUTURE`) RETURN n:result:"The Future represents the potential outcomes of Scrooge’s life choices, depicted through the visions shown by the Spirits.""The Future refers to the outcomes that Scrooge may face based on his current actions, raising themes of choice and consequence.""The Future refers to the outcomes that Scrooge may face based on his current actions, raising themes of choice and consequence.""The Future refers to the outcomes that Scrooge may face based on his current actions, raising themes of choice and consequence.""The Future refers to the outcomes that Scrooge may face based on his current actions, raising themes of choice and consequence."', 'source_id': 'chunk-91572b3cd42786ba4cb2f180ca25cbf4chunk-02baee20cc9463dbe08170a8e1043e32'}> -2024-10-30 06:45:23,161 - lightrag - INFO - _do_upsert:query: - MERGE (n:`THE FUTURE`) - SET n += $properties - RETURN n - :result:{'entity_type': '"CONCEPT"', 'description': '"The Future is represented as a realm of possibility and consequence that concerns Scrooge\'s fate and choices.""The Future represents the potential outcomes of Scrooge’s life choices, depicted through the visions shown by the Spirits.""The Future refers to the outcomes that Scrooge may face based on his current actions, raising themes of choice and consequence.""The Future refers to the outcomes that Scrooge may face based on his current actions, raising themes of choice and consequence.""The Future refers to the outcomes that Scrooge may face based on his current actions, raising themes of choice and consequence.""The Future refers to the outcomes that Scrooge may face based on his current actions, raising themes of choice and consequence.""The Future refers to the outcomes that Scrooge may face based on his current actions, raising themes of choice and consequence."', 'source_id': 'chunk-91572b3cd42786ba4cb2f180ca25cbf4chunk-02baee20cc9463dbe08170a8e1043e32'} -2024-10-30 06:45:23,290 - lightrag - INFO - get_node:query:MATCH (n:`THE PAST`) RETURN n:result:"The Past reflects on Scrooge\'s earlier life choices and experiences that shaped who he has become.""The Past reflects on Scrooge\'s earlier life choices and experiences that shaped who he has become.""The Past reflects on Scrooge\'s earlier life choices and experiences that shaped who he has become.""The Past reflects on Scrooge\'s earlier life choices and experiences that shaped who he has become."', 'source_id': 'chunk-91572b3cd42786ba4cb2f180ca25cbf4'}> -2024-10-30 06:45:23,425 - lightrag - INFO - _do_upsert:query: - MERGE (n:`THE PAST`) - SET n += $properties - RETURN n - :result:{'entity_type': '"CONCEPT"', 'description': '"The Past is a concept that reflects Scrooge\'s memories and previous actions that influence his current state and future decisions.""The Past reflects on Scrooge\'s earlier life choices and experiences that shaped who he has become.""The Past reflects on Scrooge\'s earlier life choices and experiences that shaped who he has become.""The Past reflects on Scrooge\'s earlier life choices and experiences that shaped who he has become.""The Past reflects on Scrooge\'s earlier life choices and experiences that shaped who he has become.""The Past reflects on Scrooge\'s earlier life choices and experiences that shaped who he has become."', 'source_id': 'chunk-91572b3cd42786ba4cb2f180ca25cbf4'} -2024-10-30 06:45:23,555 - lightrag - INFO - get_node:query:MATCH (n:`THE PRESENT`) RETURN n:result:"The Present emphasizes the importance of living in the moment and embracing current opportunities for change.""The Present emphasizes the importance of living in the moment and embracing current opportunities for change.""The Present emphasizes the importance of living in the moment and embracing current opportunities for change.""The Present represents the current moment in Scrooge\'s life that he must recognize and change to achieve redemption."', 'source_id': 'chunk-91572b3cd42786ba4cb2f180ca25cbf4'}> -2024-10-30 06:45:23,683 - lightrag - INFO - _do_upsert:query: - MERGE (n:`THE PRESENT`) - SET n += $properties - RETURN n - :result:{'entity_type': '"CONCEPT"', 'description': '"The Present emphasizes the importance of living in the moment and embracing current opportunities for change.""The Present emphasizes the importance of living in the moment and embracing current opportunities for change.""The Present emphasizes the importance of living in the moment and embracing current opportunities for change.""The Present emphasizes the importance of living in the moment and embracing current opportunities for change.""The Present emphasizes the importance of living in the moment and embracing current opportunities for change.""The Present represents the current moment in Scrooge\'s life that he must recognize and change to achieve redemption."', 'source_id': 'chunk-91572b3cd42786ba4cb2f180ca25cbf4'} -2024-10-30 06:45:23,808 - lightrag - INFO - get_node:query:MATCH (n:`THE POULTERER'S`) RETURN n:result:"The Poulterer\'s is a shop mentioned by Scrooge, relevant in the context of his generous actions towards the Cratchit family.""The Poulterer\'s is a shop mentioned by Scrooge, relevant in the context of his generous actions towards the Cratchit family.""The Poulterer\'s is a shop mentioned by Scrooge, relevant in the context of his generous actions towards the Cratchit family.""The Poulterer\'s is a shop where Scrooge intends to buy a turkey for the Cratchit family."', 'source_id': 'chunk-90b95db5c53e4364a6bee36b7aa4d70f'}> -2024-10-30 06:45:23,938 - lightrag - INFO - _do_upsert:query: - MERGE (n:`THE POULTERER'S`) - SET n += $properties - RETURN n - :result:{'entity_type': '"ORGANIZATION"', 'description': '"The Poulterer\'s is a shop mentioned by Scrooge, relevant in the context of his generous actions towards the Cratchit family.""The Poulterer\'s is a shop mentioned by Scrooge, relevant in the context of his generous actions towards the Cratchit family.""The Poulterer\'s is a shop mentioned by Scrooge, relevant in the context of his generous actions towards the Cratchit family.""The Poulterer\'s is a shop mentioned by Scrooge, relevant in the context of his generous actions towards the Cratchit family.""The Poulterer\'s is a shop mentioned by Scrooge, relevant in the context of his generous actions towards the Cratchit family.""The Poulterer\'s is a shop where Scrooge intends to buy a turkey for the Cratchit family."', 'source_id': 'chunk-90b95db5c53e4364a6bee36b7aa4d70f'} -2024-10-30 06:45:24,065 - lightrag - INFO - get_node:query:MATCH (n:`THE SPIRITS`) RETURN n:result:"The Spirits represent the past, present, and future in Scrooge\'s life, guiding him toward redemption and self-reflection.""The Spirits represent the forces that guide Scrooge towards his transformation and are instrumental in his journey of redemption.""The Spirits represent the forces that guide Scrooge towards his transformation and are instrumental in his journey of redemption.""The Spirits represent the forces that guide Scrooge towards his transformation and are instrumental in his journey of redemption.""The Spirits represent the forces that guide Scrooge towards his transformation and are instrumental in his journey of redemption."', 'source_id': 'chunk-cb661c37436355ccec2769b1d0350c5fchunk-90b95db5c53e4364a6bee36b7aa4d70f'}> -2024-10-30 06:45:24,196 - lightrag - INFO - _do_upsert:query: - MERGE (n:`THE SPIRITS`) - SET n += $properties - RETURN n - :result:{'entity_type': '"CONCEPT"', 'description': '"The Spirits collectively represent the supernatural forces that seek to guide and teach Scrooge about the impact of his life choices.""The Spirits represent the past, present, and future in Scrooge\'s life, guiding him toward redemption and self-reflection.""The Spirits represent the forces that guide Scrooge towards his transformation and are instrumental in his journey of redemption.""The Spirits represent the forces that guide Scrooge towards his transformation and are instrumental in his journey of redemption.""The Spirits represent the forces that guide Scrooge towards his transformation and are instrumental in his journey of redemption.""The Spirits represent the forces that guide Scrooge towards his transformation and are instrumental in his journey of redemption.""The Spirits represent the forces that guide Scrooge towards his transformation and are instrumental in his journey of redemption."', 'source_id': 'chunk-cb661c37436355ccec2769b1d0350c5fchunk-90b95db5c53e4364a6bee36b7aa4d70f'} -2024-10-30 06:45:24,324 - lightrag - INFO - get_node:query:MATCH (n:`THE GHOST OF CHRISTMAS PRESENT`) RETURN n:result:"The Ghost of Christmas Present is a supernatural being that shows Scrooge the true spirit of Christmas, including kindness towards the poor.""The Ghost of Christmas Present signifies abundance and the spirit of joy that Scrooge is encouraged to embrace.""The Ghost of Christmas Present is one of the spirits that help Scrooge understand the importance of generosity and compassion during the festive season.""The Ghost of Christmas Present is one of the spirits that help Scrooge understand the importance of generosity and compassion during the festive season.""The Ghost of Christmas Present is one of the spirits that help Scrooge understand the importance of generosity and compassion during the festive season.""The Ghost of Christmas Present is one of the spirits that help Scrooge understand the importance of generosity and compassion during the festive season."', 'source_id': 'chunk-43c9bee23adfa77aa9dedd22401bba7dchunk-b0f459f5af1c3a5e0b92cbe4ee48b77bchunk-90b95db5c53e4364a6bee36b7aa4d70f'}> -2024-10-30 06:45:24,459 - lightrag - INFO - _do_upsert:query: - MERGE (n:`THE GHOST OF CHRISTMAS PRESENT`) - SET n += $properties - RETURN n - :result:{'entity_type': '"PERSON"', 'description': '"The Ghost of Christmas Present is a spirit that guides Scrooge through his memories and the joy of the present Christmas celebration.""The Ghost of Christmas Present is a supernatural being that shows Scrooge the true spirit of Christmas, including kindness towards the poor.""The Ghost of Christmas Present signifies abundance and the spirit of joy that Scrooge is encouraged to embrace.""The Ghost of Christmas Present is one of the spirits that help Scrooge understand the importance of generosity and compassion during the festive season.""The Ghost of Christmas Present is one of the spirits that help Scrooge understand the importance of generosity and compassion during the festive season.""The Ghost of Christmas Present is one of the spirits that help Scrooge understand the importance of generosity and compassion during the festive season.""The Ghost of Christmas Present is one of the spirits that help Scrooge understand the importance of generosity and compassion during the festive season.""The Ghost of Christmas Present is one of the spirits that help Scrooge understand the importance of generosity and compassion during the festive season."', 'source_id': 'chunk-43c9bee23adfa77aa9dedd22401bba7dchunk-90b95db5c53e4364a6bee36b7aa4d70fchunk-b0f459f5af1c3a5e0b92cbe4ee48b77b'} -2024-10-30 06:45:24,588 - lightrag - INFO - get_node:query:MATCH (n:`THE CHRISTMAS DINNER`) RETURN n:result: -2024-10-30 06:45:24,713 - lightrag - INFO - _do_upsert:query: - MERGE (n:`THE CHRISTMAS DINNER`) - SET n += $properties - RETURN n - :result:{'entity_type': '"EVENT"', 'description': '"The Christmas Dinner signifies the gathering of the Cratchit family, highlighting themes of togetherness and the warmth of family during the holiday season."', 'source_id': 'chunk-90b95db5c53e4364a6bee36b7aa4d70f'} -2024-10-30 06:45:24,836 - lightrag - INFO - get_node:query:MATCH (n:`THE STREET`) RETURN n:result:"The Street is the setting where Scrooge interacts with the boy and demonstrates his newfound generosity after his transformation.""The Street is the setting where Scrooge interacts with the boy and demonstrates his newfound generosity after his transformation.""The Street is the setting where Scrooge interacts with the boy and demonstrates his newfound generosity after his transformation.""The Street is where Mr. Scrooge\'s Nephew encounters Bob Cratchit, facilitating a significant moment of kindness in the narrative.""The Street represents the setting where Scrooge interacts with various characters and experiences joy, emphasizing the festive atmosphere.""The Street represents the setting where Scrooge interacts with various characters and experiences joy, emphasizing the festive atmosphere.""The Street represents the setting where Scrooge interacts with various characters and experiences joy, emphasizing the festive atmosphere.""The Street represents the setting where Scrooge interacts with various characters and experiences joy, emphasizing the festive atmosphere."', 'source_id': 'chunk-1d4b58de5429cd1261370c231c8673e8chunk-90b95db5c53e4364a6bee36b7aa4d70fchunk-8f738cb25d60a7dab782162d9d0a25ed'}> -2024-10-30 06:45:24,970 - lightrag - INFO - _do_upsert:query: - MERGE (n:`THE STREET`) - SET n += $properties - RETURN n - :result:{'entity_type': '"GEO"', 'description': '"The Street is the setting where Scrooge interacts with the boy and demonstrates his newfound generosity after his transformation.""The Street is the setting where Scrooge interacts with the boy and demonstrates his newfound generosity after his transformation.""The Street is the setting where Scrooge interacts with the boy and demonstrates his newfound generosity after his transformation.""The Street is the setting where Scrooge interacts with the boy and demonstrates his newfound generosity after his transformation.""The Street is the setting where Scrooge interacts with the boy and demonstrates his newfound generosity after his transformation.""The Street is where Mr. Scrooge\'s Nephew encounters Bob Cratchit, facilitating a significant moment of kindness in the narrative.""The Street represents the setting where Scrooge interacts with various characters and experiences joy, emphasizing the festive atmosphere.""The Street represents the setting where Scrooge interacts with various characters and experiences joy, emphasizing the festive atmosphere.""The Street represents the setting where Scrooge interacts with various characters and experiences joy, emphasizing the festive atmosphere.""The Street represents the setting where Scrooge interacts with various characters and experiences joy, emphasizing the festive atmosphere.""The Street represents the setting where Scrooge interacts with various characters and experiences joy, emphasizing the festive atmosphere."', 'source_id': 'chunk-8f738cb25d60a7dab782162d9d0a25edchunk-90b95db5c53e4364a6bee36b7aa4d70fchunk-1d4b58de5429cd1261370c231c8673e8'} -2024-10-30 06:45:25,095 - lightrag - INFO - get_node:query:MATCH (n:`THE BOY`) RETURN n:result:"The Boy is a young messenger who interacts with Scrooge during his purchase of the turkey.""The Boy represents innocence and curiosity, serving as a catalyst for Scrooge\'s generous act by purchasing the turkey.""The Boy represents innocence and curiosity, serving as a catalyst for Scrooge\'s generous act by purchasing the turkey.""The Boy represents innocence and curiosity, serving as a catalyst for Scrooge\'s generous act by purchasing the turkey.""The Boy represents innocence and curiosity, serving as a catalyst for Scrooge\'s generous act by purchasing the turkey."', 'source_id': 'chunk-90b95db5c53e4364a6bee36b7aa4d70fchunk-8bc1edd983869352d14cf0886a9175a7chunk-8f738cb25d60a7dab782162d9d0a25ed'}> -2024-10-30 06:45:25,230 - lightrag - INFO - _do_upsert:query: - MERGE (n:`THE BOY`) - SET n += $properties - RETURN n - :result:{'entity_type': '"PERSON"', 'description': '"The Boy is a character mentioned briefly, who tries to hide behind another girl, indicating shyness among the festive crowd.""The Boy is a young messenger who interacts with Scrooge during his purchase of the turkey.""The Boy represents innocence and curiosity, serving as a catalyst for Scrooge\'s generous act by purchasing the turkey.""The Boy represents innocence and curiosity, serving as a catalyst for Scrooge\'s generous act by purchasing the turkey.""The Boy represents innocence and curiosity, serving as a catalyst for Scrooge\'s generous act by purchasing the turkey.""The Boy represents innocence and curiosity, serving as a catalyst for Scrooge\'s generous act by purchasing the turkey.""The Boy represents innocence and curiosity, serving as a catalyst for Scrooge\'s generous act by purchasing the turkey."', 'source_id': 'chunk-8f738cb25d60a7dab782162d9d0a25edchunk-8bc1edd983869352d14cf0886a9175a7chunk-90b95db5c53e4364a6bee36b7aa4d70f'} -2024-10-30 06:45:25,362 - lightrag - INFO - get_node:query:MATCH (n:`THE TURKEY`) RETURN n:result:"The Turkey represents a key symbol of generosity and festivity during Christmas, as Scrooge purchases it to spread joy.""The Turkey symbolizes the generosity and festive spirit that Scrooge embraces following his transformation.""The Turkey represents a key symbol of generosity and festivity during Christmas, as Scrooge purchases it to spread joy.""The Turkey symbolizes the generosity and festive spirit that Scrooge embraces following his transformation.""The Turkey represents a key symbol of generosity and festivity during Christmas, as Scrooge purchases it to spread joy.""The Turkey symbolizes the generosity and festive spirit that Scrooge embraces following his transformation.""The Turkey represents a key symbol of generosity and festivity during Christmas, as Scrooge purchases it to spread joy.""The Turkey symbolizes the generosity and festive spirit that Scrooge embraces following his transformation."', 'source_id': 'chunk-90b95db5c53e4364a6bee36b7aa4d70fchunk-8f738cb25d60a7dab782162d9d0a25ed'}> -2024-10-30 06:45:25,499 - lightrag - INFO - _do_upsert:query: - MERGE (n:`THE TURKEY`) - SET n += $properties - RETURN n - :result:{'entity_type': '"EVENT"', 'description': '"The Turkey is a large bird that Scrooge has humorously commented on sending to Bob, symbolizing generosity and Christmas spirit.""The Turkey represents a key symbol of generosity and festivity during Christmas, as Scrooge purchases it to spread joy.""The Turkey symbolizes the generosity and festive spirit that Scrooge embraces following his transformation.""The Turkey represents a key symbol of generosity and festivity during Christmas, as Scrooge purchases it to spread joy.""The Turkey symbolizes the generosity and festive spirit that Scrooge embraces following his transformation.""The Turkey represents a key symbol of generosity and festivity during Christmas, as Scrooge purchases it to spread joy.""The Turkey symbolizes the generosity and festive spirit that Scrooge embraces following his transformation.""The Turkey represents a key symbol of generosity and festivity during Christmas, as Scrooge purchases it to spread joy.""The Turkey symbolizes the generosity and festive spirit that Scrooge embraces following his transformation.""The Turkey represents a key symbol of generosity and festivity during Christmas, as Scrooge purchases it to spread joy.""The Turkey symbolizes the generosity and festive spirit that Scrooge embraces following his transformation."', 'source_id': 'chunk-8f738cb25d60a7dab782162d9d0a25edchunk-90b95db5c53e4364a6bee36b7aa4d70f'} -2024-10-30 06:45:25,627 - lightrag - INFO - get_node:query:MATCH (n:`THE OLD GENTLEMAN`) RETURN n:result: -2024-10-30 06:45:25,755 - lightrag - INFO - _do_upsert:query: - MERGE (n:`THE OLD GENTLEMAN`) - SET n += $properties - RETURN n - :result:{'entity_type': '"PERSON"', 'description': '"The Old Gentleman is a character with whom Scrooge interacts, showcasing the themes of kindness and forgiveness."', 'source_id': 'chunk-8f738cb25d60a7dab782162d9d0a25ed'} -2024-10-30 06:45:25,887 - lightrag - INFO - get_node:query:MATCH (n:`BOB`) RETURN n:result:"Bob is referenced humorously by Scrooge in the context of a joke regarding a large turkey.""Bob is likely referenced as a character who may receive the turkey sent by Scrooge, highlighting the theme of generosity.""Bob is likely referenced as a character who may receive the turkey sent by Scrooge, highlighting the theme of generosity.""Bob is likely referenced as a character who may receive the turkey sent by Scrooge, highlighting the theme of generosity.""Bob is likely referenced as a character who may receive the turkey sent by Scrooge, highlighting the theme of generosity."', 'source_id': 'chunk-91572b3cd42786ba4cb2f180ca25cbf4chunk-8f738cb25d60a7dab782162d9d0a25ed'}> -2024-10-30 06:45:26,013 - lightrag - INFO - _do_upsert:query: - MERGE (n:`BOB`) - SET n += $properties - RETURN n - :result:{'entity_type': '"PERSON"', 'description': '"Bob is a character who reflects on the importance of unity and remembering Tiny Tim among his family.""Bob is referenced humorously by Scrooge in the context of a joke regarding a large turkey.""Bob is likely referenced as a character who may receive the turkey sent by Scrooge, highlighting the theme of generosity.""Bob is likely referenced as a character who may receive the turkey sent by Scrooge, highlighting the theme of generosity.""Bob is likely referenced as a character who may receive the turkey sent by Scrooge, highlighting the theme of generosity.""Bob is likely referenced as a character who may receive the turkey sent by Scrooge, highlighting the theme of generosity.""Bob is likely referenced as a character who may receive the turkey sent by Scrooge, highlighting the theme of generosity."', 'source_id': 'chunk-91572b3cd42786ba4cb2f180ca25cbf4chunk-8f738cb25d60a7dab782162d9d0a25ed'} -2024-10-30 06:45:26,163 - lightrag - INFO - get_node:query:MATCH (n:`THE CAB`) RETURN n:result: -2024-10-30 06:45:26,292 - lightrag - INFO - _do_upsert:query: - MERGE (n:`THE CAB`) - SET n += $properties - RETURN n - :result:{'entity_type': '"EVENT"', 'description': '"The Cab is an event associated with transporting the turkey, illustrating the lengths to which Scrooge is willing to go to share joy."', 'source_id': 'chunk-8f738cb25d60a7dab782162d9d0a25ed'} -2024-10-30 06:45:26,420 - lightrag - INFO - get_node:query:MATCH (n:`THE KITCHEN`) RETURN n:result: -2024-10-30 06:45:26,549 - lightrag - INFO - _do_upsert:query: - MERGE (n:`THE KITCHEN`) - SET n += $properties - RETURN n - :result:{'entity_type': '"GEO"', 'description': '"The Kitchen is a location that Scrooge looks into, symbolizing warmth, family, and the spirit of hospitality during the holiday season."', 'source_id': 'chunk-8f738cb25d60a7dab782162d9d0a25ed'} -2024-10-30 06:45:26,673 - lightrag - INFO - get_node:query:MATCH (n:`MISTRESS`) RETURN n:result: -2024-10-30 06:45:26,805 - lightrag - INFO - _do_upsert:query: - MERGE (n:`MISTRESS`) - SET n += $properties - RETURN n - :result:{'entity_type': '"PERSON"', 'description': '"Mistress is referenced in relation to Fred, indicating the presence of family dynamics during the Christmas celebration."', 'source_id': 'chunk-8f738cb25d60a7dab782162d9d0a25ed'} -2024-10-30 06:45:26,931 - lightrag - INFO - get_node:query:MATCH (n:`THE FAMILY`) RETURN n:result: -2024-10-30 06:45:27,083 - lightrag - INFO - _do_upsert:query: - MERGE (n:`THE FAMILY`) - SET n += $properties - RETURN n - :result:{'entity_type': '"ORGANIZATION"', 'description': '"The Family includes Bob Cratchit and his loved ones, who represent themes of togetherness and support during Christmas."', 'source_id': 'chunk-94bea83e7153fc2064aa382b494936a1'} -2024-10-30 06:45:27,210 - lightrag - INFO - get_node:query:MATCH (n:`THE TANK`) RETURN n:result:"The Tank is the workplace setting where Bob Cratchit works under Scrooge, highlighting the power dynamics in their relationship.""The Tank is the workplace setting where Bob Cratchit works under Scrooge, highlighting the power dynamics in their relationship.""The Tank is the workplace setting where Bob Cratchit works under Scrooge, highlighting the power dynamics in their relationship.""The Tank refers to Bob Cratchit\'s work area, where he encounters Scrooge and faces the consequences of arriving late."', 'source_id': 'chunk-94bea83e7153fc2064aa382b494936a1'}> -2024-10-30 06:45:27,343 - lightrag - INFO - _do_upsert:query: - MERGE (n:`THE TANK`) - SET n += $properties - RETURN n - :result:{'entity_type': '"LOCATION"', 'description': '"The Tank is the workplace setting where Bob Cratchit works under Scrooge, highlighting the power dynamics in their relationship.""The Tank is the workplace setting where Bob Cratchit works under Scrooge, highlighting the power dynamics in their relationship.""The Tank is the workplace setting where Bob Cratchit works under Scrooge, highlighting the power dynamics in their relationship.""The Tank is the workplace setting where Bob Cratchit works under Scrooge, highlighting the power dynamics in their relationship.""The Tank is the workplace setting where Bob Cratchit works under Scrooge, highlighting the power dynamics in their relationship.""The Tank refers to Bob Cratchit\'s work area, where he encounters Scrooge and faces the consequences of arriving late."', 'source_id': 'chunk-94bea83e7153fc2064aa382b494936a1'} -2024-10-30 06:45:27,473 - 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lightrag - INFO - _do_upsert:query: - MERGE (n:`THE FOUNDATION`) - SET n += $properties - RETURN n - :result:{'entity_type': '"ORGANIZATION"', 'description': '"The Foundation, also known as the Project Gutenberg Literary Archive Foundation, owns the compilation copyright in the collection of Project Gutenberg electronic works.""The Foundation, also known as the Project Gutenberg Literary Archive Foundation, owns the compilation copyright in the collection of Project Gutenberg electronic works.""The Foundation, also known as the Project Gutenberg Literary Archive Foundation, owns the compilation copyright in the collection of Project Gutenberg electronic works.""The Foundation, also known as the Project Gutenberg Literary Archive Foundation, owns the compilation copyright in the collection of Project Gutenberg electronic works.""The Foundation, also known as the Project Gutenberg Literary Archive Foundation, owns the compilation copyright in the collection of Project Gutenberg electronic works.""The Foundation, referred to as the Project Gutenberg Literary Archive Foundation, owns the compilation copyright of Project Gutenberg\'s collection."', 'source_id': 'chunk-194cd9680f4967f48bea89678f7ece21'} -2024-10-30 06:45:27,997 - 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MERGE (n:`ELECTRONIC WORKS`) - SET n += $properties - RETURN n - :result:{'entity_type': '"CONCEPT"', 'description': '"Electronic works refer to digital versions of literary texts that can be freely accessed and shared without restriction."', 'source_id': 'chunk-194cd9680f4967f48bea89678f7ece21'} -2024-10-30 06:45:29,034 - lightrag - INFO - get_node:query:MATCH (n:`TRADEMARK LICENSE`) RETURN n:result:"The trademark license governs the usage of the Project Gutenberg trademark, ensuring its protection during distribution.""The trademark license governs the usage of the Project Gutenberg trademark, ensuring its protection during distribution.""The trademark license governs the usage of the Project Gutenberg trademark, ensuring its protection during distribution.""Trademark license describes the regulations for using the Project Gutenberg trademark and ensures its protection in distributions."', 'source_id': 'chunk-194cd9680f4967f48bea89678f7ece21'}> -2024-10-30 06:45:29,165 - lightrag - INFO - 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lightrag - DEBUG - Trigger summary: "PROJECT GUTENBERG LITERARY ARCHIVE FOUNDATION" -2024-10-30 06:45:30,166 - lightrag - INFO - get_node:query:MATCH (n:`U.S. COPYRIGHT LAW`) RETURN n:result:"U.S. Copyright Law governs the usage, distribution, and copyright status of literary works in the United States, affecting how Project Gutenberg operates.""U.S. Copyright Law governs the usage, distribution, and copyright status of literary works in the United States, affecting how Project Gutenberg operates.""U.S. Copyright Law governs the usage, distribution, and copyright status of literary works in the United States, affecting how Project Gutenberg operates.""U.S. Copyright Law is the legal framework that Project Gutenberg navigates in its efforts to provide access to electronic works, ensuring compliance with copyright protections.""U.S. Copyright Law refers to the legal framework governing copyright protection in the United States, which impacts the distribution and usage of literary works and other creative content.""U.S. copyright law governs the protection of intellectual property in the United States, impacting how works can be distributed through Project Gutenberg™.""U.S. Copyright Law is the legal framework that Project Gutenberg navigates in its efforts to provide access to electronic works, ensuring compliance with copyright protections.""U.S. Copyright Law is the legal framework that Project Gutenberg navigates in its efforts to provide access to electronic works, ensuring compliance with copyright protections.""U.S. Copyright Law is the legal framework that Project Gutenberg navigates in its efforts to provide access to electronic works, ensuring compliance with copyright protections."', 'source_id': 'chunk-c51b3dc560b408cce12cdfe5c9c94f57chunk-af4ae173c561e4594c5aea96198cce9d'}> -2024-10-30 06:45:30,302 - 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lightrag - INFO - get_node:query:MATCH (n:`EBOOK`) RETURN n:result: -2024-10-30 06:45:30,565 - lightrag - INFO - _do_upsert:query: - MERGE (n:`EBOOK`) - SET n += $properties - RETURN n - :result:{'entity_type': '"EVENT"', 'description': '"An eBook refers to an electronic version of a book that can be accessed, displayed, or distributed according to the licensing terms of Project Gutenberg."', 'source_id': 'chunk-af4ae173c561e4594c5aea96198cce9d'} -2024-10-30 06:45:30,690 - lightrag - INFO - get_node:query:MATCH (n:`UNITED STATES`) RETURN n:result:"The United States is the primary geographic location referenced in the context of copyright laws and distribution terms for Project Gutenberg\'s eBooks.""The United States is the primary geographic location referenced in the context of copyright laws and distribution terms for Project Gutenberg\'s eBooks.""The United States is the primary geographic location referenced in the context of copyright laws and distribution terms for Project Gutenberg\'s eBooks.""The United States is the primary geographic location referenced in the context of copyright laws and distribution terms for Project Gutenberg\'s eBooks."', 'source_id': 'chunk-194cd9680f4967f48bea89678f7ece21chunk-af4ae173c561e4594c5aea96198cce9d'}> -2024-10-30 06:45:30,817 - 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lightrag - INFO - get_node:query:MATCH (n:`WWW.GUTENBERG.ORG/CONTACT`) RETURN n:result: -2024-10-30 06:45:37,834 - lightrag - INFO - _do_upsert:query: - MERGE (n:`WWW.GUTENBERG.ORG/CONTACT`) - SET n += $properties - RETURN n - :result:{'entity_type': '"ORGANIZATION"', 'description': '"The contact page provides up-to-date information on how to reach the Project Gutenberg Literary Archive Foundation."', 'source_id': 'chunk-85f77f5e3a9aba01133555a2d20e2fd8'} -2024-10-30 06:45:37,955 - lightrag - INFO - get_node:query:MATCH (n:`WWW.GUTENBERG.ORG/DONATE`) RETURN n:result: -2024-10-30 06:45:38,087 - lightrag - INFO - _do_upsert:query: - MERGE (n:`WWW.GUTENBERG.ORG/DONATE`) - SET n += $properties - RETURN n - :result:{'entity_type': '"ORGANIZATION"', 'description': '"The donation page on the Project Gutenberg website where individuals can contribute funds to support the Foundation\'s mission."', 'source_id': 'chunk-85f77f5e3a9aba01133555a2d20e2fd8'} -2024-10-30 06:45:38,214 - lightrag - INFO - get_node:query:MATCH (n:`PUBLIC DOMAIN`) RETURN n:result: -2024-10-30 06:45:38,344 - lightrag - INFO - _do_upsert:query: - MERGE (n:`PUBLIC DOMAIN`) - SET n += $properties - RETURN n - :result:{'entity_type': '"CONCEPT"', 'description': '"Public Domain refers to works that are available for free use without copyright restrictions, a key focus of Project Gutenberg\'s mission to distribute such materials."', 'source_id': 'chunk-85f77f5e3a9aba01133555a2d20e2fd8'} -2024-10-30 06:45:40,699 - lightrag - INFO - _do_upsert:query: - MERGE (n:`MRS. FEZZIWIG`) - SET n += $properties - RETURN n - :result:{'entity_type': '"PERSON"', 'description': 'Mrs. Fezziwig is the warm and kind partner of Mr. Fezziwig, playing a vital role in creating a festive atmosphere during their domestic celebrations, particularly at the Christmas ball. She embodies companionship and festive cheer, participating actively in the dances alongside her husband. Mrs. Fezziwig is known for her bright smile and joyous nature, contributing significantly to the warmth and cheer of the events they host together. Her presence and participation greatly enhance the overall ambiance, emphasizing the importance of joyous gatherings in their celebrations. Through her engagement in the festivities, Mrs. Fezziwig represents the spirit of holiday joy and communal celebration.', 'source_id': 'chunk-8bc1edd983869352d14cf0886a9175a7chunk-b2f98bc7abb0c67d4c86055c7fd72218chunk-9e3921da66da5d761ab73cd849af6c43chunk-89777b838d5447c7bd1ec11282c4ee89'} -2024-10-30 06:45:40,880 - lightrag - INFO - _do_upsert:query: - MERGE (n:`EBENEZER SCROOGE`) - SET n += $properties - RETURN n - :result:{'entity_type': '"PERSON"', 'description': 'Ebenezer Scrooge is a central character in Charles Dickens\' "A Christmas Carol," portrayed as a miserly and cold-hearted old man who undergoes a significant transformation. Known for his past connections and interactions, particularly with figures like Fezziwig and Dick Wilkins, Scrooge initially embodies selfishness and greed. Throughout the narrative, he experiences confusion and fear regarding the passage of time and is especially troubled by visitations from supernatural entities, which serve as catalysts for his change. Scrooge\'s journey illustrates his profound transformation, moving from a life of isolation and avarice to one filled with generosity and compassion, ultimately redefining his character from that of a miser to a benefactor.', 'source_id': 'chunk-8bc1edd983869352d14cf0886a9175a7chunk-c7b10789a9cb0af6c553730b29bd9034chunk-9e3921da66da5d761ab73cd849af6c43'} -2024-10-30 06:45:41,189 - lightrag - INFO - _do_upsert:query: - MERGE (n:`MARLEY'S GHOST`) - SET n += $properties - RETURN n - :result:{'entity_type': '"EVENT"', 'description': "Marley's Ghost is a spectral figure representing Jacob Marley, Ebenezer Scrooge's former business partner, who has returned to convey a crucial message about guilt, redemption, and the consequences of one's actions. This unearthly visitor appears to Scrooge to warn him of the impending visits from three spirits, intensifying themes of remorse and the necessity for transformation in Scrooge's life. Marley, having been dead for seven years, symbolizes the regret of a life poorly lived. His apparition deeply troubles Scrooge, prompting him to question the nature of reality and forcing him to confront the distressing realities of his past deeds. Ultimately, Marley's Ghost serves as a harbinger of change, urging Scrooge to reflect on his life choices and the potential for redemption.", 'source_id': 'chunk-c7b10789a9cb0af6c553730b29bd9034chunk-9c43dac2fcd5b578242d907ea6f8fc7bchunk-cb661c37436355ccec2769b1d0350c5fchunk-1aa50206d02ed89418f65f97c6441d1c'} -2024-10-30 06:45:41,359 - lightrag - INFO - _do_upsert:query: - MERGE (n:`THE WOMAN`) - SET n += $properties - RETURN n - :result:{'entity_type': '"PERSON"', 'description': 'The Woman is a bold and defiant character who engages in humorous and lively exchanges, particularly with Joe, concerning the deceased and their belongings. She showcases a carefree attitude towards the former owner of these belongings, instigating discussions with a notable lack of reverence for the deceased. Throughout their conversations, The Woman provides light-hearted responses and laughs at the absurdity of their discussions, emphasizing her humorous demeanor.\n\nShe enters a shop with a heavy bundle, which further illustrates her assertive presence. Despite her engaging nature, her interactions reflect a focus on material gain rather than solemnity, making her a central figure in the dialogue that unfolds. Overall, The Woman embodies both a lively and irreverent spirit, contributing significantly to the dynamics of the conversations surrounding the deceased and their possessions.', 'source_id': 'chunk-e1f29eeadc1d8ab46dc8a0bbd3c56b64chunk-60fc063c79fc0d4acc91a57e79de04dcchunk-89777b838d5447c7bd1ec11282c4ee89'} -2024-10-30 06:45:41,536 - lightrag - INFO - _do_upsert:query: - MERGE (n:`PROJECT GUTENBERG LITERARY ARCHIVE FOUNDATION`) - SET n += $properties - RETURN n - :result:{'entity_type': '"ORGANIZATION"', 'description': "The Project Gutenberg Literary Archive Foundation is a 501(c)(3) non-profit educational corporation dedicated to increasing access to public domain and licensed works in machine-readable form. Established to ensure the free distribution of electronic works, the Foundation is committed to maintaining the Project Gutenberg™ collection for future generations. It serves as the organization that manages the Project Gutenberg trademark and oversees rights, licensing, and royalty payments associated with the organization. Additionally, it is focused on securing the future of Project Gutenberg's activities and contributions, fostering the availability of literary works that can be freely enjoyed by the public. Through its initiatives, the Foundation aims to expand the reach of literature and education by advancing access to a vast array of works.", 'source_id': 'chunk-af4ae173c561e4594c5aea96198cce9dchunk-85f77f5e3a9aba01133555a2d20e2fd8chunk-c51b3dc560b408cce12cdfe5c9c94f57'} -2024-10-30 06:45:41,744 - lightrag - INFO - _do_upsert:query: - MERGE (n:`TOPPER`) - SET n += $properties - RETURN n - :result:{'entity_type': '"PERSON"', 'description': "Topper is a lively and mischievous character who plays a significant role in the festive gathering associated with Scrooge's family. He is known for his jovial nature and participates actively in games, embodying the celebratory spirit of the Christmas party. As a guest at the gathering, Topper contributes to the joyful atmosphere alongside Fred and Scrooge. He is also noted for his playful and somewhat roguish demeanor, which enhances the merriment of the events.\n\nIn addition to his role as a cheerful participant, Topper is a member of Scrooge's niece's social circle, where he showcases his romantic inclinations, particularly towards one of Scrooge's niece's sisters. This intersection of playful behavior and romantic interest further enriches his character, making him an integral part of the festive celebrations. Overall, Topper exemplifies the spirit of joviality and camaraderie during the holiday season, solidifying his place as a memorable guest at the Christmas festivities.", 'source_id': 'chunk-773d0df1dd25c356f7b771d780583e09chunk-43c9bee23adfa77aa9dedd22401bba7dchunk-94bea83e7153fc2064aa382b494936a1'} -2024-10-30 06:45:43,130 - lightrag - INFO - _do_upsert:query: - MERGE (n:`THE GHOST`) - SET n += $properties - RETURN n - :result:{'entity_type': '"EVENT"', 'description': '"The Ghost" is a crucial supernatural being in the narrative of Ebenezer Scrooge, playing a significant role in his transformative journey. Described as a strange figure that embodies qualities of both a child and an old man, The Ghost symbolizes supernatural intervention in Scrooge\'s life and serves as a catalyst for self-reflection and moral realization. This spectral manifestation is identified as the apparition of Jacob Marley, who instills a sense of dread in Scrooge while delivering an important message about the repercussions of his actions and the necessity for change.\n\nThroughout their encounters, The Ghost guides Scrooge by revealing various scenes from his past, which evoke poignant emotions and highlight the joys of family and the significance of Christmas. It emphasizes key themes of redemption, kindness, and the emotional consequences of one\'s actions, urging Scrooge to confront his past and reconsider his life choices. The Ghost serves as a supernatural guide, illustrating the importance of human virtue and the need for compassion towards others.\n\nUltimately, The Ghost acts as a guiding presence that influences Scrooge\'s emotional state and facilitates his journey toward redemption. By facing his past and opening himself to the lessons imparted by The Ghost, Scrooge begins to understand the value of kindness and the severe consequences of neglecting these moral principles throughout his life. In summary, The Ghost encapsulates the overarching themes of change, redemption, and moral lessons, proving vital in Scrooge\'s transformation.', 'source_id': 'chunk-c7b10789a9cb0af6c553730b29bd9034chunk-43c9bee23adfa77aa9dedd22401bba7dchunk-e7637ff18c5ded77a68cce0a87883fadchunk-359187e7571bda4b0b08b2e0b6581e52chunk-da2472b4ef2a535b62908f14d0fb0ca9chunk-c6c248858d1b13ab7ee9ca13c1aeed6bchunk-02baee20cc9463dbe08170a8e1043e32chunk-1aa50206d02ed89418f65f97c6441d1cchunk-cb661c37436355ccec2769b1d0350c5fchunk-54bdd22db1f84a965b5f4c06c9216d8dchunk-8590d9263cd2cd4fa583c432fc54e6c3chunk-83ac129dc9b56f84c46760d153d68e93chunk-9c43dac2fcd5b578242d907ea6f8fc7b'} -2024-10-30 06:45:43,683 - lightrag - INFO - _do_upsert:query: - MERGE (n:`TINY TIM`) - SET n += $properties - RETURN n - :result:{'entity_type': '"PERSON"', 'description': 'Tiny Tim, whose full name is Tim Cratchit, is a poignant character in Charles Dickens\' "A Christmas Carol." He is depicted as the youngest son of Bob Cratchit within a family that struggles with the hardships of poverty and illness. Tiny Tim symbolizes hope, innocence, and resilience amidst these challenges, with his frail health often leading him to be described as a cripple. Despite his physical limitations, he possesses a joyful spirit and maintains an optimistic outlook, which serves as a source of joy for those around him.\n\nTiny Tim\'s well-being is central to the emotional landscape of the Cratchit family, representing their hopes for a better future and the love that binds them together. His character evokes compassion and reflection from others, particularly Ebenezer Scrooge, who transforms from a miserly figure into a more generous person inspired by Tiny Tim\'s situation. Tiny Tim is often referenced by Scrooge and embodies the true essence of the Christmas spirit, participating in festive celebrations with a cheerful demeanor, embodying innocence and goodness despite the challenges presented by his health.\n\nCherished by his family, especially by his father, Bob Cratchit, Tiny Tim reinforces the narrative\'s themes of family, generosity, and the transformative power of kindness. His presence in the story serves as a reminder of the challenges faced by the vulnerable, and he leaves a lasting impression on both the characters within the narrative and the readers. Ultimately, he encapsulates the themes of hope and renewal that resonate throughout "A Christmas Carol," symbolizing the indomitable spirit that inspires hope even in times of adversity.', 'source_id': 'chunk-90b95db5c53e4364a6bee36b7aa4d70fchunk-19d72c57ae3408758b18d2568e86dc6bchunk-503f0bfa5453467c7c61d160a3540ecachunk-91572b3cd42786ba4cb2f180ca25cbf4chunk-9e3921da66da5d761ab73cd849af6c43chunk-8f738cb25d60a7dab782162d9d0a25edchunk-94bea83e7153fc2064aa382b494936a1chunk-83ac129dc9b56f84c46760d153d68e93chunk-7e2e7ebcc19a53b399dc03aded4743e7chunk-1d4b58de5429cd1261370c231c8673e8'} -2024-10-30 06:45:43,858 - lightrag - INFO - _do_upsert:query: - MERGE (n:`CHRISTMAS`) - SET n += $properties - RETURN n - :result:{'entity_type': '"EVENT"', 'description': 'Christmas is a significant and festive season that embodies themes of joy, love, generosity, and community. It plays a crucial role in the narrative, particularly through the experiences of the Cratchit family and the character development of Ebenezer Scrooge. Christmas is depicted as a joyful time of family togetherness, celebration, and emotional reflection, marked by warmth and gratitude, especially for the Cratchit family who create cherished memories despite their modest circumstances.\n\nIn contrast, Scrooge initially approaches Christmas with cynicism, dismissing it as a "humbug" and rejecting the joy and goodwill that the season represents. His cold demeanor and disdain sharply oppose the spirit of generosity and community that permeates the holiday. The narrative emphasizes Christmas as a time of celebration and social responsibility, showcasing the importance of emotional connections within a community.\n\nChristmas serves as the backdrop for Scrooge\'s transformation, compelling him to confront his neglected relationships and past choices, which is pivotal to his character development. His Nephew, who is passionate about the holiday, further highlights the contrast between Scrooge\'s cynical views and the festive spirit. As the story progresses, Christmas symbolizes redemption and change for Scrooge, who ultimately embraces the holiday\'s spirit of goodwill and abandons his bitterness.\n\nThe festive occasion emerges as a pivotal element that reinforces exploration of redemption, generosity, and the transformative power of love and community. Joyful scenes of people celebrating, dancing, and engaging in festive activities sharply contrast with Scrooge\'s earlier solitude and disdain, underscoring the profound influence of Christmas on the thoughts and behaviors of all characters involved.', 'source_id': 'chunk-e7637ff18c5ded77a68cce0a87883fadchunk-c6c248858d1b13ab7ee9ca13c1aeed6bchunk-99b0ec7f7e006561352b5d65e849611dchunk-02baee20cc9463dbe08170a8e1043e32chunk-503f0bfa5453467c7c61d160a3540ecachunk-91572b3cd42786ba4cb2f180ca25cbf4chunk-8f738cb25d60a7dab782162d9d0a25edchunk-94bea83e7153fc2064aa382b494936a1chunk-1d4b58de5429cd1261370c231c8673e8chunk-74e2466de2f67fd710ef2f20c0a8d9e0chunk-89777b838d5447c7bd1ec11282c4ee89chunk-90d5764e301321c087f5a8f78b73a145chunk-91614df5cb74cbe5e109a338a82041e9chunk-54bdd22db1f84a965b5f4c06c9216d8dchunk-773d0df1dd25c356f7b771d780583e09chunk-5dac41b3f9eeaf794f0147400b1718cdchunk-43c9bee23adfa77aa9dedd22401bba7dchunk-da2472b4ef2a535b62908f14d0fb0ca9chunk-8590d9263cd2cd4fa583c432fc54e6c3'} -2024-10-30 06:45:44,916 - lightrag - INFO - _do_upsert:query: - MERGE (n:`SCROOGE`) - SET n += $properties - RETURN n - :result:{'entity_type': '"PERSON"', 'description': 'Scrooge is a central character embodying a profound transformation throughout Charles Dickens\' narrative, initially depicted as a miserly, cold-hearted individual characterized by greed and a disdain for Christmas. Often referred to negatively as the "Ogre of the family" or a "tight-fisted old man," he exemplifies a lack of compassion and indifference toward others, reflecting his solitary nature and reluctance to engage in charitable acts.\n\nThe pivotal turning point in Scrooge\'s journey occurs with a haunting visit from the ghost of his former business partner, Jacob Marley, who warns him of the dire consequences of his actions. This encounter triggers a series of supernatural visits from three spirits, guiding Scrooge through reflections on his past, present, and future. During these encounters, he experiences horror, agitation, and regret as he grapples with the implications of his miserliness and recalls lonely moments from his childhood.\n\nThrough his interactions with the spirits, Scrooge witnesses both joy and sorrow, becoming especially affected by the plight of the Cratchit family and Tiny Tim. These reflections ignite feelings of grief and a longing for connection, compelling him to recognize his mortality and the extensive impact of his choices on those around him. This emotional struggle catalyzes a conflict between Scrooge\'s initial skepticism about the supernatural and a developing capacity for empathy.\n\nUltimately, by the conclusion of the story, Scrooge undergoes a significant transformation. Emerging from his supernatural encounters with a newfound joy and commitment to kindness, he fully embraces the spirit of Christmas. This evolution from a grumpy, indifferent figure to one filled with goodwill encapsulates the narrative\'s themes of redemption, compassion, and community. Scrooge’s journey illustrates that change is not only possible, but that love and generosity can triumph over isolation and greed, as he strives to positively influence the lives of others, particularly his employee Bob Cratchit and his family.', 'source_id': 'chunk-c7b10789a9cb0af6c553730b29bd9034chunk-b0f459f5af1c3a5e0b92cbe4ee48b77bchunk-e7637ff18c5ded77a68cce0a87883fadchunk-359187e7571bda4b0b08b2e0b6581e52chunk-e1f29eeadc1d8ab46dc8a0bbd3c56b64chunk-c6c248858d1b13ab7ee9ca13c1aeed6bchunk-cb661c37436355ccec2769b1d0350c5fchunk-f1a4fbcf1ed86864b9bfd5e8dba4c683chunk-99b0ec7f7e006561352b5d65e849611dchunk-843b5b2f944c7413d9ca876e2e2f151fchunk-90b95db5c53e4364a6bee36b7aa4d70fchunk-19d72c57ae3408758b18d2568e86dc6bchunk-02baee20cc9463dbe08170a8e1043e32chunk-503f0bfa5453467c7c61d160a3540ecachunk-91572b3cd42786ba4cb2f180ca25cbf4chunk-83ac129dc9b56f84c46760d153d68e93chunk-8f738cb25d60a7dab782162d9d0a25edchunk-94bea83e7153fc2064aa382b494936a1chunk-9c43dac2fcd5b578242d907ea6f8fc7bchunk-74e2466de2f67fd710ef2f20c0a8d9e0chunk-89777b838d5447c7bd1ec11282c4ee89chunk-d9aac3484185ac66045df92214d245d5chunk-90d5764e301321c087f5a8f78b73a145chunk-91614df5cb74cbe5e109a338a82041e9chunk-54bdd22db1f84a965b5f4c06c9216d8dchunk-773d0df1dd25c356f7b771d780583e09chunk-5dac41b3f9eeaf794f0147400b1718cdchunk-43c9bee23adfa77aa9dedd22401bba7dchunk-da2472b4ef2a535b62908f14d0fb0ca9chunk-1aa50206d02ed89418f65f97c6441d1cchunk-8590d9263cd2cd4fa583c432fc54e6c3chunk-b2f98bc7abb0c67d4c86055c7fd72218chunk-bb21d58d36c6306fd8810ddd51c4a971'} -2024-10-30 06:45:45,559 - lightrag - INFO - _do_upsert:query: - MERGE (n:`THE SPIRIT`) - SET n += $properties - RETURN n - :result:{'entity_type': '"ORGANIZATION"', 'description': '"The Spirit" is a multifaceted supernatural entity that guides Ebenezer Scrooge through a transformative journey during the Christmas season. It is often portrayed as a ghostly figure, encompassing the roles of the Ghost of Christmas Past and the Ghost of Christmas Present. This entity plays a vital role in illuminating various themes, including joy, generosity, and moral introspection.\n\nThroughout the narrative, The Spirit influences Scrooge\'s emotional journey, prompting him to reflect on his past and understand the consequences of his actions. By guiding him through memories, The Spirit helps Scrooge recognize the significance of happiness, compassion, and community in life. This guiding force not only encourages deep introspection but also highlights the moral lessons associated with the holiday season.\n\nThe Spirit embodies the collective essence of the Christmas spirits and serves as a moral compass for Scrooge. It promotes an environment filled with cheer and mirth, significantly shaping the mood of Christmas and emphasizing the importance of generosity. As Scrooge navigates his reflections on life—past, present, and future—The Spirit plays a critical role in his transformation, ultimately pushing him toward meaningful change and a reevaluation of his life choices.\n\nIn essence, The Spirit acts as both a supernatural guide and an emotional influence, signifying the profound impact of reflection, memory, and personal transformation during the holiday season. Through its guidance, Scrooge embarks on a journey towards understanding the value of life and embracing the spirit of Christmas.', 'source_id': 'chunk-43c9bee23adfa77aa9dedd22401bba7dchunk-b0f459f5af1c3a5e0b92cbe4ee48b77bchunk-da2472b4ef2a535b62908f14d0fb0ca9chunk-e1f29eeadc1d8ab46dc8a0bbd3c56b64chunk-19d72c57ae3408758b18d2568e86dc6bchunk-503f0bfa5453467c7c61d160a3540ecachunk-91614df5cb74cbe5e109a338a82041e9chunk-91572b3cd42786ba4cb2f180ca25cbf4chunk-f1a4fbcf1ed86864b9bfd5e8dba4c683chunk-8590d9263cd2cd4fa583c432fc54e6c3chunk-b2f98bc7abb0c67d4c86055c7fd72218chunk-bb21d58d36c6306fd8810ddd51c4a971'} -2024-10-30 06:45:47,198 - lightrag - INFO - _do_upsert:query: - MERGE (n:`BOB CRATCHIT`) - SET n += $properties - RETURN n - :result:{'entity_type': '"PERSON"', 'description': 'Bob Cratchit is a significant character in Charles Dickens\' "A Christmas Carol," serving as Ebenezer Scrooge\'s dedicated clerk. He is depicted as a struggling yet loving family man who embodies the challenges faced by the working class, highlighting the importance of family in the narrative. Despite enduring low wages, Bob demonstrates warmth and joy during the Christmas season, striving to maintain a positive atmosphere at home amidst financial hardships.\n\nAs the father of Tiny Tim and head of the Cratchit family, Bob exemplifies deep familial love and concern. He is characterized by his kindness and emotional depth, caring for his children and expressing affection for them, especially during family celebrations. His happiness during the festive season underscores his duty as a father and husband, showcasing his resilience in the face of adversity. Bob’s mild-mannered nature is evident as he enjoys Christmas dinner with his family, reflecting appreciation for even the smallest of blessings despite their struggles.\n\nCratchit\'s late arrival to work after Christmas illustrates his anxiety about Scrooge, contrasting with the newfound generosity Scrooge begins to show him. This dynamic emphasizes Bob\'s positive demeanor, which remains unwavering despite his challenges. The warmth of the Cratchit household, particularly during their Christmas dinner, sharply contrasts with Scrooge’s initial miserly attitude, highlighting the spirit of joy that Bob embodies.\n\nOverall, Bob Cratchit is not only a devoted father and husband but also a poignant symbol of resilience, hope, and the profound significance of family within the narrative, making him a compelling and heartwarming figure in "A Christmas Carol."', 'source_id': 'chunk-b0f459f5af1c3a5e0b92cbe4ee48b77bchunk-90b95db5c53e4364a6bee36b7aa4d70fchunk-d9aac3484185ac66045df92214d245d5chunk-19d72c57ae3408758b18d2568e86dc6bchunk-503f0bfa5453467c7c61d160a3540ecachunk-91572b3cd42786ba4cb2f180ca25cbf4chunk-9e3921da66da5d761ab73cd849af6c43chunk-94bea83e7153fc2064aa382b494936a1chunk-83ac129dc9b56f84c46760d153d68e93chunk-7e2e7ebcc19a53b399dc03aded4743e7chunk-1d4b58de5429cd1261370c231c8673e8'} -2024-10-30 06:45:47,383 - lightrag - INFO - _check_edge_existence:query:MATCH (a:`A CHRISTMAS CAROL`)-[r]-(b:`PROJECT GUTENBERG`) RETURN COUNT(r) > 0 AS edgeExists:result:True -2024-10-30 06:45:47,531 - lightrag - INFO - get_edge:query: - MATCH (start:`A CHRISTMAS CAROL`)-[r]->(end:`PROJECT GUTENBERG`) - RETURN properties(r) as edge_properties - LIMIT 1 - :result:{'keywords': '"publication, accessibility"', 'weight': 9.0, 'description': '"A Christmas Carol is published and distributed freely through Project Gutenberg, making it accessible to a global audience."', 'source_id': 'chunk-9e3921da66da5d761ab73cd849af6c43'} -2024-10-30 06:45:47,661 - lightrag - INFO - _check_node_exists:query:MATCH (n:`A CHRISTMAS CAROL`) RETURN count(n) > 0 AS node_exists:result:True -2024-10-30 06:45:47,823 - lightrag - INFO - _check_node_exists:query:MATCH (n:`PROJECT GUTENBERG`) RETURN count(n) > 0 AS node_exists:result:True -2024-10-30 06:45:48,012 - lightrag - INFO - _do_upsert_edge:query: - MATCH (source:`A CHRISTMAS CAROL`) - WITH source - MATCH (target:`PROJECT GUTENBERG`) - MERGE (source)-[r:DIRECTED]->(target) - SET r += $properties - RETURN r - :result:None -2024-10-30 06:45:48,191 - lightrag - INFO - _check_edge_existence:query:MATCH (a:`A CHRISTMAS CAROL`)-[r]-(b:`CHARLES DICKENS`) RETURN COUNT(r) > 0 AS edgeExists:result:True -2024-10-30 06:45:48,331 - lightrag - INFO - get_edge:query: - MATCH (start:`A CHRISTMAS CAROL`)-[r]->(end:`CHARLES DICKENS`) - RETURN properties(r) as edge_properties - LIMIT 1 - :result:{'keywords': '"author, literary impact"', 'weight': 10.0, 'description': '"Charles Dickens authored A Christmas Carol, which reflects his views on Victorian society and social issues."', 'source_id': 'chunk-9e3921da66da5d761ab73cd849af6c43'} -2024-10-30 06:45:48,460 - lightrag - INFO - _check_node_exists:query:MATCH (n:`A CHRISTMAS CAROL`) RETURN count(n) > 0 AS node_exists:result:True -2024-10-30 06:45:48,628 - lightrag - INFO - _check_node_exists:query:MATCH (n:`CHARLES DICKENS`) RETURN count(n) > 0 AS node_exists:result:True -2024-10-30 06:45:48,816 - lightrag - INFO - _do_upsert_edge:query: - MATCH (source:`A CHRISTMAS CAROL`) - WITH source - MATCH (target:`CHARLES DICKENS`) - MERGE (source)-[r:DIRECTED]->(target) - SET r += $properties - RETURN r - :result:None -2024-10-30 06:45:48,992 - lightrag - INFO - _check_edge_existence:query:MATCH (a:`A CHRISTMAS CAROL`)-[r]-(b:`ARTHUR RACKHAM`) RETURN COUNT(r) > 0 AS edgeExists:result:True -2024-10-30 06:45:49,130 - lightrag - INFO - get_edge:query: - MATCH (start:`A CHRISTMAS CAROL`)-[r]->(end:`ARTHUR RACKHAM`) - RETURN properties(r) as edge_properties - LIMIT 1 - :result:{'keywords': '"illustration, artistic contribution"', 'weight': 8.0, 'description': '"Arthur Rackham illustrated A Christmas Carol, enhancing the visual experience of Dickens\' narrative."', 'source_id': 'chunk-9e3921da66da5d761ab73cd849af6c43'} -2024-10-30 06:45:49,250 - lightrag - INFO - _check_node_exists:query:MATCH (n:`A CHRISTMAS CAROL`) RETURN count(n) > 0 AS node_exists:result:True -2024-10-30 06:45:49,425 - lightrag - INFO - _check_node_exists:query:MATCH (n:`ARTHUR RACKHAM`) RETURN count(n) > 0 AS node_exists:result:True -2024-10-30 06:45:49,609 - lightrag - INFO - _do_upsert_edge:query: - MATCH (source:`A CHRISTMAS CAROL`) - WITH source - MATCH (target:`ARTHUR RACKHAM`) - MERGE (source)-[r:DIRECTED]->(target) - SET r += $properties - RETURN r - :result:None -2024-10-30 06:45:49,786 - lightrag - INFO - _check_edge_existence:query:MATCH (a:`BOB CRATCHIT`)-[r]-(b:`EBENEZER SCROOGE`) RETURN COUNT(r) > 0 AS edgeExists:result:True -2024-10-30 06:45:49,923 - lightrag - INFO - get_edge:query: - MATCH (start:`BOB CRATCHIT`)-[r]->(end:`EBENEZER SCROOGE`) - RETURN properties(r) as edge_properties - LIMIT 1 - :result:{'keywords': '"workplace dynamics, social contrast"', 'weight': 7.0, 'description': '"Bob Cratchit works for Ebenezer Scrooge, embodying the struggles of the working class in contrast to Scrooge\'s miserliness."', 'source_id': 'chunk-9e3921da66da5d761ab73cd849af6c43'} -2024-10-30 06:45:50,057 - lightrag - INFO - _check_node_exists:query:MATCH (n:`BOB CRATCHIT`) RETURN count(n) > 0 AS node_exists:result:True -2024-10-30 06:45:50,224 - lightrag - INFO - _check_node_exists:query:MATCH (n:`EBENEZER SCROOGE`) RETURN count(n) > 0 AS node_exists:result:True -2024-10-30 06:45:50,400 - lightrag - INFO - _do_upsert_edge:query: - MATCH (source:`BOB CRATCHIT`) - WITH source - MATCH (target:`EBENEZER SCROOGE`) - MERGE (source)-[r:DIRECTED]->(target) - SET r += $properties - RETURN r - :result:None -2024-10-30 06:45:50,579 - lightrag - INFO - _check_edge_existence:query:MATCH (a:`BOB CRATCHIT`)-[r]-(b:`TINY TIM`) RETURN COUNT(r) > 0 AS edgeExists:result:True -2024-10-30 06:45:50,710 - lightrag - INFO - get_edge:query: - MATCH (start:`BOB CRATCHIT`)-[r]->(end:`TINY TIM`) - RETURN properties(r) as edge_properties - LIMIT 1 - :result:{'keywords': '"family bond, care""family bond, love""family love, vulnerability""family, struggle""family, support""father-son bond, care"', 'weight': 48.0, 'description': '"Bob Cratchit deeply cares for Tiny Tim, demonstrating emotional support and love, especially in moments of distress.""Bob Cratchit expresses love and concern for his son Tiny Tim during the Christmas dinner, highlighting a strong familial bond.""Bob Cratchit is Tiny Tim\'s father, and the turkey Scrooge plans to send will impact Tiny Tim\'s well-being.""Bob Cratchit is Tiny Tim\'s father, and their relationship highlights the theme of family struggle and love, especially during Christmas.""Bob Cratchit shows deep care for Tiny Tim, helping him and expressing pride in his strength and character despite challenges.""Bob Cratchit\'s concern for Tiny Tim illustrates the deep familial love and the challenges facing the Cratchit family."', 'source_id': 'chunk-83ac129dc9b56f84c46760d153d68e93chunk-503f0bfa5453467c7c61d160a3540ecachunk-1d4b58de5429cd1261370c231c8673e8chunk-90b95db5c53e4364a6bee36b7aa4d70fchunk-94bea83e7153fc2064aa382b494936a1chunk-7e2e7ebcc19a53b399dc03aded4743e7'} -2024-10-30 06:45:50,839 - lightrag - INFO - _check_node_exists:query:MATCH (n:`BOB CRATCHIT`) RETURN count(n) > 0 AS node_exists:result:True -2024-10-30 06:45:51,013 - lightrag - INFO - _check_node_exists:query:MATCH (n:`TINY TIM`) RETURN count(n) > 0 AS node_exists:result:True -2024-10-30 06:45:51,196 - lightrag - INFO - _do_upsert_edge:query: - MATCH (source:`BOB CRATCHIT`) - WITH source - MATCH (target:`TINY TIM`) - MERGE (source)-[r:DIRECTED]->(target) - SET r += $properties - RETURN r - :result:None -2024-10-30 06:45:51,371 - lightrag - INFO - _check_edge_existence:query:MATCH (a:`EBENEZER SCROOGE`)-[r]-(b:`MR. FEZZIWIG`) RETURN COUNT(r) > 0 AS edgeExists:result:True -2024-10-30 06:45:51,505 - lightrag - INFO - get_edge:query: - MATCH (start:`EBENEZER SCROOGE`)-[r]->(end:`MR. FEZZIWIG`) - RETURN properties(r) as edge_properties - LIMIT 1 - :result:{'keywords': '"contrast, influence"', 'weight': 7.0, 'description': '"Mr. Fezziwig represents a contrast to Ebenezer Scrooge\'s character, showing kindness and generosity in business."', 'source_id': 'chunk-9e3921da66da5d761ab73cd849af6c43'} -2024-10-30 06:45:51,640 - lightrag - INFO - _check_node_exists:query:MATCH (n:`EBENEZER SCROOGE`) RETURN count(n) > 0 AS node_exists:result:True -2024-10-30 06:45:51,809 - lightrag - INFO - _check_node_exists:query:MATCH (n:`MR. FEZZIWIG`) RETURN count(n) > 0 AS node_exists:result:True -2024-10-30 06:45:51,999 - lightrag - INFO - _do_upsert_edge:query: - MATCH (source:`EBENEZER SCROOGE`) - WITH source - MATCH (target:`MR. FEZZIWIG`) - MERGE (source)-[r:DIRECTED]->(target) - SET r += $properties - RETURN r - :result:None -2024-10-30 06:45:52,176 - lightrag - INFO - _check_edge_existence:query:MATCH (a:`GHOST OF CHRISTMAS PAST`)-[r]-(b:`SCROOGE`) RETURN COUNT(r) > 0 AS edgeExists:result:True -2024-10-30 06:45:52,307 - lightrag - INFO - get_edge:query: - MATCH (start:`GHOST OF CHRISTMAS PAST`)-[r]->(end:`SCROOGE`) - RETURN properties(r) as edge_properties - LIMIT 1 - :result:{'keywords': '"reflection, past influence"', 'weight': 8.0, 'description': '"Scrooge engages with the Ghost of Christmas Past to explore his earlier life, seeking insight into his current state."', 'source_id': 'chunk-bb21d58d36c6306fd8810ddd51c4a971'} -2024-10-30 06:45:52,439 - lightrag - INFO - _check_node_exists:query:MATCH (n:`GHOST OF CHRISTMAS PAST`) RETURN count(n) > 0 AS node_exists:result:True -2024-10-30 06:45:52,604 - lightrag - INFO - _check_node_exists:query:MATCH (n:`SCROOGE`) RETURN count(n) > 0 AS node_exists:result:True -2024-10-30 06:45:52,798 - lightrag - INFO - _do_upsert_edge:query: - MATCH (source:`GHOST OF CHRISTMAS PAST`) - WITH source - MATCH (target:`SCROOGE`) - MERGE (source)-[r:DIRECTED]->(target) - SET r += $properties - RETURN r - :result:None -2024-10-30 06:45:53,001 - lightrag - INFO - _check_edge_existence:query:MATCH (a:`GHOST OF CHRISTMAS PRESENT`)-[r]-(b:`SCROOGE`) RETURN COUNT(r) > 0 AS edgeExists:result:True -2024-10-30 06:45:53,134 - lightrag - INFO - get_edge:query: - MATCH (start:`GHOST OF CHRISTMAS PRESENT`)-[r]->(end:`SCROOGE`) - RETURN properties(r) as edge_properties - LIMIT 1 - :result:{'keywords': '"transformation, mentoring"', 'weight': 10.0, 'description': '"Scrooge is led by the Ghost of Christmas Present, who teaches him valuable lessons about generosity and compassion."', 'source_id': 'chunk-843b5b2f944c7413d9ca876e2e2f151f'} -2024-10-30 06:45:53,258 - lightrag - INFO - _check_node_exists:query:MATCH (n:`GHOST OF CHRISTMAS PRESENT`) RETURN count(n) > 0 AS node_exists:result:True -2024-10-30 06:45:53,426 - lightrag - INFO - _check_node_exists:query:MATCH (n:`SCROOGE`) RETURN count(n) > 0 AS node_exists:result:True -2024-10-30 06:45:53,609 - lightrag - INFO - _do_upsert_edge:query: - MATCH (source:`GHOST OF CHRISTMAS PRESENT`) - WITH source - MATCH (target:`SCROOGE`) - MERGE (source)-[r:DIRECTED]->(target) - SET r += $properties - RETURN r - :result:None -2024-10-30 06:45:53,789 - lightrag - INFO - _check_edge_existence:query:MATCH (a:`GHOST OF CHRISTMAS YET TO COME`)-[r]-(b:`SCROOGE`) RETURN COUNT(r) > 0 AS edgeExists:result:True -2024-10-30 06:45:53,922 - lightrag - INFO - get_edge:query: - MATCH (start:`GHOST OF CHRISTMAS YET TO COME`)-[r]->(end:`SCROOGE`) - RETURN properties(r) as edge_properties - LIMIT 1 - :result:{'keywords': '"forewarning, change""future consequences, redemption"', 'weight': 19.0, 'description': '"The Ghost of Christmas Yet to Come presents a foreboding vision of Scrooge\'s future, driving home the need for personal change.""The Ghost shows Scrooge visions of the future, challenging him to change his ways to avoid a grim destiny."', 'source_id': 'chunk-02baee20cc9463dbe08170a8e1043e32chunk-9e3921da66da5d761ab73cd849af6c43'} -2024-10-30 06:45:54,050 - lightrag - INFO - _check_node_exists:query:MATCH (n:`GHOST OF CHRISTMAS YET TO COME`) RETURN count(n) > 0 AS node_exists:result:True -2024-10-30 06:45:54,211 - lightrag - INFO - _check_node_exists:query:MATCH (n:`SCROOGE`) RETURN count(n) > 0 AS node_exists:result:True -2024-10-30 06:45:54,385 - lightrag - INFO - _do_upsert_edge:query: - MATCH (source:`GHOST OF CHRISTMAS YET TO COME`) - WITH source - MATCH (target:`SCROOGE`) - MERGE (source)-[r:DIRECTED]->(target) - SET r += $properties - RETURN r - :result:None -2024-10-30 06:45:54,569 - lightrag - INFO - _check_edge_existence:query:MATCH (a:`FRED`)-[r]-(b:`SCROOGE`) RETURN COUNT(r) > 0 AS edgeExists:result:True -2024-10-30 06:45:54,704 - lightrag - INFO - get_edge:query: - MATCH (start:`FRED`)-[r]->(end:`SCROOGE`) - RETURN properties(r) as edge_properties - LIMIT 1 - :result:{'keywords': '"family connection, goodwill""family connection, reconciliation""family, transformation""rejection, familial dynamics"', 'weight': 30.0, 'description': '"Scrooge and Fred share a familial bond, with Fred expressing goodwill and celebrating Scrooge despite his uncle\'s previous behavior.""Scrooge expresses a desire to visit Fred, which signifies a reconciliatory gesture toward his family.""Scrooge surprises Fred with his unexpected visit, indicating a shift in their familial relationship and Scrooge\'s attitude toward family.""Scrooge\'s interaction with Fred emphasizes his rejection of familial warmth during the Christmas season."', 'source_id': 'chunk-8f738cb25d60a7dab782162d9d0a25edchunk-94bea83e7153fc2064aa382b494936a1chunk-89777b838d5447c7bd1ec11282c4ee89chunk-e7637ff18c5ded77a68cce0a87883fad'} -2024-10-30 06:45:54,838 - lightrag - INFO - _check_node_exists:query:MATCH (n:`FRED`) RETURN count(n) > 0 AS node_exists:result:True -2024-10-30 06:45:54,992 - lightrag - INFO - _check_node_exists:query:MATCH (n:`SCROOGE`) RETURN count(n) > 0 AS node_exists:result:True -2024-10-30 06:45:55,178 - lightrag - INFO - _do_upsert_edge:query: - MATCH (source:`FRED`) - WITH source - MATCH (target:`SCROOGE`) - MERGE (source)-[r:DIRECTED]->(target) - SET r += $properties - RETURN r - :result:None -2024-10-30 06:45:55,361 - lightrag - INFO - _check_edge_existence:query:MATCH (a:`FRED`)-[r]-(b:`GHOST OF CHRISTMAS PRESENT`) RETURN COUNT(r) > 0 AS edgeExists:result:True -2024-10-30 06:45:55,490 - lightrag - INFO - get_edge:query: - MATCH (start:`FRED`)-[r]->(end:`GHOST OF CHRISTMAS PRESENT`) - RETURN properties(r) as edge_properties - LIMIT 1 - :result:{'keywords': '"celebration, Christmas spirit"', 'weight': 8.0, 'description': '"Fred is celebrated by the Ghost of Christmas Present as a symbol of Christmas spirit, highlighting the contrast with Scrooge."', 'source_id': 'chunk-9e3921da66da5d761ab73cd849af6c43'} -2024-10-30 06:45:55,621 - lightrag - INFO - _check_node_exists:query:MATCH (n:`FRED`) RETURN count(n) > 0 AS node_exists:result:True -2024-10-30 06:45:55,781 - lightrag - INFO - _check_node_exists:query:MATCH (n:`GHOST OF CHRISTMAS PRESENT`) RETURN count(n) > 0 AS node_exists:result:True -2024-10-30 06:45:55,966 - lightrag - INFO - _do_upsert_edge:query: - MATCH (source:`FRED`) - WITH source - MATCH (target:`GHOST OF CHRISTMAS PRESENT`) - MERGE (source)-[r:DIRECTED]->(target) - SET r += $properties - RETURN r - :result:None -2024-10-30 06:45:56,148 - lightrag - INFO - _check_edge_existence:query:MATCH (a:`BOB CRATCHIT`)-[r]-(b:`MRS. CRATCHIT`) RETURN COUNT(r) > 0 AS edgeExists:result:True -2024-10-30 06:45:56,278 - lightrag - INFO - get_edge:query: - MATCH (start:`BOB CRATCHIT`)-[r]->(end:`MRS. CRATCHIT`) - RETURN properties(r) as edge_properties - LIMIT 1 - :result:{'keywords': '"family unity, celebration""partnership, family unity"', 'weight': 16.0, 'description': '"Bob and Mrs. Cratchit represent a family working together to create a festive and warm environment despite their limited means.""Mrs. Cratchit supports Bob Cratchit in his parenting efforts and encourages the family’s unity during challenging times."', 'source_id': 'chunk-1d4b58de5429cd1261370c231c8673e8chunk-b0f459f5af1c3a5e0b92cbe4ee48b77b'} -2024-10-30 06:45:56,408 - lightrag - INFO - _check_node_exists:query:MATCH (n:`BOB CRATCHIT`) RETURN count(n) > 0 AS node_exists:result:True -2024-10-30 06:45:56,574 - lightrag - INFO - _check_node_exists:query:MATCH (n:`MRS. CRATCHIT`) RETURN count(n) > 0 AS node_exists:result:True -2024-10-30 06:45:56,755 - lightrag - INFO - _do_upsert_edge:query: - MATCH (source:`BOB CRATCHIT`) - WITH source - MATCH (target:`MRS. CRATCHIT`) - MERGE (source)-[r:DIRECTED]->(target) - SET r += $properties - RETURN r - :result:None -2024-10-30 06:45:56,938 - lightrag - INFO - _check_edge_existence:query:MATCH (a:`GHOST OF CHRISTMAS PRESENT`)-[r]-(b:`TINY TIM`) RETURN COUNT(r) > 0 AS edgeExists:result:True -2024-10-30 06:45:57,074 - lightrag - INFO - get_edge:query: - MATCH (start:`GHOST OF CHRISTMAS PRESENT`)-[r]->(end:`TINY TIM`) - RETURN properties(r) as edge_properties - LIMIT 1 - :result:{'keywords': '"compassion, family"', 'weight': 9.0, 'description': '"The Ghost of Christmas Present reveals Tiny Tim’s struggles and optimism, emphasizing themes of compassion and family."', 'source_id': 'chunk-9e3921da66da5d761ab73cd849af6c43'} -2024-10-30 06:45:57,200 - lightrag - INFO - _check_node_exists:query:MATCH (n:`GHOST OF CHRISTMAS PRESENT`) RETURN count(n) > 0 AS node_exists:result:True -2024-10-30 06:45:57,369 - lightrag - INFO - _check_node_exists:query:MATCH (n:`TINY TIM`) RETURN count(n) > 0 AS node_exists:result:True -2024-10-30 06:45:57,548 - lightrag - INFO - _do_upsert_edge:query: - MATCH (source:`GHOST OF CHRISTMAS PRESENT`) - WITH source - MATCH (target:`TINY TIM`) - MERGE (source)-[r:DIRECTED]->(target) - SET r += $properties - RETURN r - :result:None -2024-10-30 06:45:57,729 - lightrag - INFO - _check_edge_existence:query:MATCH (a:`BOB CRATCHIT`)-[r]-(b:`MARTHA CRATCHIT`) RETURN COUNT(r) > 0 AS edgeExists:result:True -2024-10-30 06:45:57,862 - lightrag - INFO - get_edge:query: - MATCH (start:`BOB CRATCHIT`)-[r]->(end:`MARTHA CRATCHIT`) - RETURN properties(r) as edge_properties - LIMIT 1 - :result:{'keywords': '"family bond, affection"', 'weight': 7.0, 'description': '"Martha shows affection for Bob Cratchit upon her arrival, indicating a warm father-daughter relationship within the family."', 'source_id': 'chunk-7e2e7ebcc19a53b399dc03aded4743e7'} -2024-10-30 06:45:57,983 - lightrag - INFO - _check_node_exists:query:MATCH (n:`BOB CRATCHIT`) RETURN count(n) > 0 AS node_exists:result:True -2024-10-30 06:45:58,157 - lightrag - INFO - _check_node_exists:query:MATCH (n:`MARTHA CRATCHIT`) RETURN count(n) > 0 AS node_exists:result:True -2024-10-30 06:45:58,335 - lightrag - INFO - _do_upsert_edge:query: - MATCH (source:`BOB CRATCHIT`) - WITH source - MATCH (target:`MARTHA CRATCHIT`) - MERGE (source)-[r:DIRECTED]->(target) - SET r += $properties - RETURN r - :result:None -2024-10-30 06:45:58,510 - lightrag - INFO - _check_edge_existence:query:MATCH (a:`MR. FEZZIWIG`)-[r]-(b:`SCROOGE`) RETURN COUNT(r) > 0 AS edgeExists:result:True -2024-10-30 06:45:58,641 - lightrag - INFO - get_edge:query: - MATCH (start:`MR. FEZZIWIG`)-[r]->(end:`SCROOGE`) - RETURN properties(r) as edge_properties - LIMIT 1 - :result:{'keywords': '"kindness, influence"', 'weight': 8.0, 'description': '"Mr. Fezziwig\'s kindness towards employees influences Scrooge\'s eventual change in attitude toward generosity and business."', 'source_id': 'chunk-9e3921da66da5d761ab73cd849af6c43'} -2024-10-30 06:45:58,769 - lightrag - INFO - _check_node_exists:query:MATCH (n:`MR. FEZZIWIG`) RETURN count(n) > 0 AS node_exists:result:True -2024-10-30 06:45:58,924 - lightrag - INFO - _check_node_exists:query:MATCH (n:`SCROOGE`) RETURN count(n) > 0 AS node_exists:result:True -2024-10-30 06:45:59,105 - lightrag - INFO - _do_upsert_edge:query: - MATCH (source:`MR. FEZZIWIG`) - WITH source - MATCH (target:`SCROOGE`) - MERGE (source)-[r:DIRECTED]->(target) - SET r += $properties - RETURN r - :result:None -2024-10-30 06:45:59,281 - lightrag - INFO - _check_edge_existence:query:MATCH (a:`GHOST OF JACOB MARLEY`)-[r]-(b:`SCROOGE`) RETURN COUNT(r) > 0 AS edgeExists:result:True -2024-10-30 06:45:59,416 - lightrag - INFO - get_edge:query: - MATCH (start:`GHOST OF JACOB MARLEY`)-[r]->(end:`SCROOGE`) - RETURN properties(r) as edge_properties - LIMIT 1 - :result:{'keywords': '"warning, transformation"', 'weight': 9.0, 'description': '"Jacob Marley appears to Scrooge as a warning and catalyst for his eventual transformation into a better person."', 'source_id': 'chunk-9e3921da66da5d761ab73cd849af6c43'} -2024-10-30 06:45:59,544 - lightrag - INFO - _check_node_exists:query:MATCH (n:`GHOST OF JACOB MARLEY`) RETURN count(n) > 0 AS node_exists:result:True -2024-10-30 06:45:59,699 - lightrag - INFO - _check_node_exists:query:MATCH (n:`SCROOGE`) RETURN count(n) > 0 AS node_exists:result:True -2024-10-30 06:45:59,877 - lightrag - INFO - _do_upsert_edge:query: - MATCH (source:`GHOST OF JACOB MARLEY`) - WITH source - MATCH (target:`SCROOGE`) - MERGE (source)-[r:DIRECTED]->(target) - SET r += $properties - RETURN r - :result:None -2024-10-30 06:46:00,057 - lightrag - INFO - _check_edge_existence:query:MATCH (a:`FAN`)-[r]-(b:`SCROOGE`) RETURN COUNT(r) > 0 AS edgeExists:result:True -2024-10-30 06:46:00,196 - lightrag - INFO - get_edge:query: - MATCH (start:`FAN`)-[r]->(end:`SCROOGE`) - RETURN properties(r) as edge_properties - LIMIT 1 - :result:{'keywords': '"family, joy lost""sibling bond, nostalgia"', 'weight': 14.0, 'description': '"Fan\'s loving relationship with her brother Scrooge reflects the lost potential for joy in his life due to his choices.""Scrooge and Fan share a sibling bond, with Fan representing innocence and happiness from their childhood, which evokes fond memories for Scrooge."', 'source_id': 'chunk-c6c248858d1b13ab7ee9ca13c1aeed6bchunk-9e3921da66da5d761ab73cd849af6c43'} -2024-10-30 06:46:00,329 - lightrag - INFO - _check_node_exists:query:MATCH (n:`FAN`) RETURN count(n) > 0 AS node_exists:result:True -2024-10-30 06:46:00,484 - lightrag - INFO - _check_node_exists:query:MATCH (n:`SCROOGE`) RETURN count(n) > 0 AS node_exists:result:True -2024-10-30 06:46:00,662 - lightrag - INFO - _do_upsert_edge:query: - MATCH (source:`FAN`) - WITH source - MATCH (target:`SCROOGE`) - MERGE (source)-[r:DIRECTED]->(target) - SET r += $properties - RETURN r - :result:None -2024-10-30 06:46:00,846 - lightrag - INFO - _check_edge_existence:query:MATCH (a:`MR. FEZZIWIG`)-[r]-(b:`MRS. FEZZIWIG`) RETURN COUNT(r) > 0 AS edgeExists:result:True -2024-10-30 06:46:00,989 - lightrag - INFO - get_edge:query: - MATCH (start:`MR. FEZZIWIG`)-[r]->(end:`MRS. FEZZIWIG`) - RETURN properties(r) as edge_properties - LIMIT 1 - :result:{'keywords': '"partnership, Christmas joy"', 'weight': 8.0, 'description': '"Mr. and Mrs. Fezziwig together create a joyful environment during Christmas, representing partnership and generosity."', 'source_id': 'chunk-9e3921da66da5d761ab73cd849af6c43'} -2024-10-30 06:46:01,125 - lightrag - INFO - _check_node_exists:query:MATCH (n:`MR. FEZZIWIG`) RETURN count(n) > 0 AS node_exists:result:True -2024-10-30 06:46:01,294 - lightrag - INFO - _check_node_exists:query:MATCH (n:`MRS. FEZZIWIG`) RETURN count(n) > 0 AS node_exists:result:True -2024-10-30 06:46:01,479 - lightrag - INFO - _do_upsert_edge:query: - MATCH (source:`MR. FEZZIWIG`) - WITH source - MATCH (target:`MRS. FEZZIWIG`) - MERGE (source)-[r:DIRECTED]->(target) - SET r += $properties - RETURN r - :result:None -2024-10-30 06:46:01,657 - lightrag - INFO - _check_edge_existence:query:MATCH (a:`FEZZIWIG`)-[r]-(b:`SCROOGE`) RETURN COUNT(r) > 0 AS edgeExists:result:True -2024-10-30 06:46:01,789 - lightrag - INFO - get_edge:query: - MATCH (start:`FEZZIWIG`)-[r]->(end:`SCROOGE`) - RETURN properties(r) as edge_properties - LIMIT 1 - :result:{'keywords': '"kindness, mentorship""reflection, influence"', 'weight': 16.0, 'description': '"Scrooge reflects positively on Fezziwig\'s past actions, acknowledging the happiness and gratitude he inspired in people.""Scrooge reminisces about Fezziwig\'s kindness during his apprenticeship, comparing his past self to his current state."', 'source_id': 'chunk-b2f98bc7abb0c67d4c86055c7fd72218chunk-c6c248858d1b13ab7ee9ca13c1aeed6b'} -2024-10-30 06:46:01,921 - lightrag - INFO - _check_node_exists:query:MATCH (n:`FEZZIWIG`) RETURN count(n) > 0 AS node_exists:result:True -2024-10-30 06:46:02,082 - lightrag - INFO - _check_node_exists:query:MATCH (n:`SCROOGE`) RETURN count(n) > 0 AS node_exists:result:True -2024-10-30 06:46:02,266 - lightrag - INFO - _do_upsert_edge:query: - MATCH (source:`FEZZIWIG`) - WITH source - MATCH (target:`SCROOGE`) - MERGE (source)-[r:DIRECTED]->(target) - SET r += $properties - RETURN r - :result:None -2024-10-30 06:46:02,440 - lightrag - INFO - _check_edge_existence:query:MATCH (a:`MARLEY`)-[r]-(b:`SCROOGE`) RETURN COUNT(r) > 0 AS edgeExists:result:True -2024-10-30 06:46:02,570 - lightrag - INFO - get_edge:query: - MATCH (start:`MARLEY`)-[r]->(end:`SCROOGE`) - RETURN properties(r) as edge_properties - LIMIT 1 - :result:{'keywords': '"mourning, partnership""past influence, personal history""redemption, confrontation""supernatural connection, past relationships"', 'weight': 32.0, 'description': '"Marley’s influence and past relationship with Scrooge is indicated, suggesting a connection that impacts Scrooge\'s character growth.""Scrooge is deeply affected by Marley\'s death, illustrated through his role as the sole executor and mourner of Marley.""Scrooge reflects on Marley, revealing his past connection and the haunting aspect of Marley\'s death, which influences Scrooge\'s character arc.""Scrooge\'s encounter with Marley’s Ghost serves as a confrontation with his past self and the life choices he regrets, depicting the theme of redemption."', 'source_id': 'chunk-d9aac3484185ac66045df92214d245d5chunk-843b5b2f944c7413d9ca876e2e2f151fchunk-89777b838d5447c7bd1ec11282c4ee89chunk-9c43dac2fcd5b578242d907ea6f8fc7b'} -2024-10-30 06:46:02,697 - lightrag - INFO - _check_node_exists:query:MATCH (n:`MARLEY`) RETURN count(n) > 0 AS node_exists:result:True -2024-10-30 06:46:02,850 - lightrag - INFO - _check_node_exists:query:MATCH (n:`SCROOGE`) RETURN count(n) > 0 AS node_exists:result:True -2024-10-30 06:46:03,029 - lightrag - INFO - _do_upsert_edge:query: - MATCH (source:`MARLEY`) - WITH source - MATCH (target:`SCROOGE`) - MERGE (source)-[r:DIRECTED]->(target) - SET r += $properties - RETURN r - :result:None -2024-10-30 06:46:03,207 - lightrag - INFO - _check_edge_existence:query:MATCH (a:`CHRISTMAS`)-[r]-(b:`SCROOGE`) RETURN COUNT(r) > 0 AS edgeExists:result:True -2024-10-30 06:46:03,340 - lightrag - INFO - get_edge:query: - MATCH (start:`CHRISTMAS`)-[r]->(end:`SCROOGE`) - RETURN properties(r) as edge_properties - LIMIT 1 - :result:{'keywords': '"character development, festive spirit""conflict, holiday spirit""contrast, seasonal significance""disconnection, festive spirit""holiday significance, reflection""reflection, redemption""seasonal significance, emotional reflection""transformation, festive spirit""transformation, holiday significance""transformation, holiday spirit"', 'weight': 95.0, 'description': '"Christmas is a central theme that invokes Scrooge\'s memories of his past, his feelings of loneliness, and his desire to connect.""Christmas serves as a focal point for Scrooge\'s emotional reflections on joy and his disconnect from societal celebrations.""Christmas serves as the catalyst for Scrooge\'s transformation, highlighting themes of giving and compassion.""Scrooge expresses disdain for Christmas, viewing it as a burden rather than a celebration.""Scrooge\'s attitude towards Christmas highlights his disconnection from the festive spirit and charity associated with the holiday.""Scrooge\'s character contrasts sharply with the joy of Christmas, highlighting his disdain for the festive season.""Scrooge\'s experience during the Christmas event highlights the transformation of his character and the spirit of the holiday.""Scrooge\'s journey with the Spirit ultimately leads him to reflect on the meaning of Christmas and its impact on human connections.""Scrooge\'s transformation and newfound joy are directly linked to the spirit of Christmas.""Scrooge\'s transformation is centered around the spirit of Christmas, which he learns to embrace and celebrate.""Scrooge\'s views on Christmas evolve as he witnesses the joy and familial love associated with the holiday, marking a shift in his character."', 'source_id': 'chunk-91614df5cb74cbe5e109a338a82041e9chunk-8f738cb25d60a7dab782162d9d0a25edchunk-e7637ff18c5ded77a68cce0a87883fadchunk-8590d9263cd2cd4fa583c432fc54e6c3chunk-54bdd22db1f84a965b5f4c06c9216d8dchunk-90d5764e301321c087f5a8f78b73a145chunk-da2472b4ef2a535b62908f14d0fb0ca9chunk-94bea83e7153fc2064aa382b494936a1chunk-89777b838d5447c7bd1ec11282c4ee89chunk-99b0ec7f7e006561352b5d65e849611dchunk-74e2466de2f67fd710ef2f20c0a8d9e0'} -2024-10-30 06:46:03,461 - lightrag - INFO - _check_node_exists:query:MATCH (n:`CHRISTMAS`) RETURN count(n) > 0 AS node_exists:result:True -2024-10-30 06:46:03,616 - lightrag - INFO - _check_node_exists:query:MATCH (n:`SCROOGE`) RETURN count(n) > 0 AS node_exists:result:True -2024-10-30 06:46:03,800 - lightrag - INFO - _do_upsert_edge:query: - MATCH (source:`CHRISTMAS`) - WITH source - MATCH (target:`SCROOGE`) - MERGE (source)-[r:DIRECTED]->(target) - SET r += $properties - RETURN r - :result:None -2024-10-30 06:46:03,975 - lightrag - INFO - _check_edge_existence:query:MATCH (a:`SCROOGE`)-[r]-(b:`THE WAREHOUSE`) RETURN COUNT(r) > 0 AS edgeExists:result:True -2024-10-30 06:46:04,109 - lightrag - INFO - get_edge:query: - MATCH (start:`SCROOGE`)-[r]->(end:`THE WAREHOUSE`) - RETURN properties(r) as edge_properties - LIMIT 1 - :result:{'keywords': '"memories, apprenticeship"', 'weight': 8.0, 'description': '"Scrooge\'s connection to the Warehouse emphasizes his memories of apprenticeship and his past experiences."', 'source_id': 'chunk-c6c248858d1b13ab7ee9ca13c1aeed6b'} -2024-10-30 06:46:04,233 - lightrag - INFO - _check_node_exists:query:MATCH (n:`SCROOGE`) RETURN count(n) > 0 AS node_exists:result:True -2024-10-30 06:46:04,401 - lightrag - INFO - _check_node_exists:query:MATCH (n:`THE WAREHOUSE`) RETURN count(n) > 0 AS node_exists:result:True -2024-10-30 06:46:04,584 - lightrag - INFO - _do_upsert_edge:query: - MATCH (source:`SCROOGE`) - WITH source - MATCH (target:`THE WAREHOUSE`) - MERGE (source)-[r:DIRECTED]->(target) - SET r += $properties - RETURN r - :result:None -2024-10-30 06:46:04,774 - lightrag - INFO - _check_edge_existence:query:MATCH (a:`JOE`)-[r]-(b:`THE WOMAN`) RETURN COUNT(r) > 0 AS edgeExists:result:True -2024-10-30 06:46:04,910 - lightrag - INFO - get_edge:query: - MATCH (start:`JOE`)-[r]->(end:`THE WOMAN`) - RETURN properties(r) as edge_properties - LIMIT 1 - :result:{'keywords': '"dialogue, humor, death""humor, interaction"', 'weight': 12.0, 'description': '"Joe and The Woman engage in dialogue about the deceased\'s belongings, showcasing their interactions and differing attitudes towards death.""Joe and The Woman share a humorous exchange about the bed-curtains, reflecting the jovial spirit of the gathering."', 'source_id': 'chunk-89777b838d5447c7bd1ec11282c4ee89chunk-e1f29eeadc1d8ab46dc8a0bbd3c56b64'} -2024-10-30 06:46:05,041 - lightrag - INFO - _check_node_exists:query:MATCH (n:`JOE`) RETURN count(n) > 0 AS node_exists:result:True -2024-10-30 06:46:05,208 - lightrag - INFO - _check_node_exists:query:MATCH (n:`THE WOMAN`) RETURN count(n) > 0 AS node_exists:result:True -2024-10-30 06:46:05,391 - lightrag - INFO - _do_upsert_edge:query: - MATCH (source:`JOE`) - WITH source - MATCH (target:`THE WOMAN`) - MERGE (source)-[r:DIRECTED]->(target) - SET r += $properties - RETURN r - :result:None -2024-10-30 06:46:05,572 - lightrag - INFO - _check_edge_existence:query:MATCH (a:`SCROOGE`)-[r]-(b:`TIM`) RETURN COUNT(r) > 0 AS edgeExists:result:True -2024-10-30 06:46:05,701 - lightrag - INFO - get_edge:query: - MATCH (start:`SCROOGE`)-[r]->(end:`TIM`) - RETURN properties(r) as edge_properties - LIMIT 1 - :result:{'keywords': '"familial connection, emotional depth"', 'weight': 8.0, 'description': '"Scrooge\'s connection to Tim emphasizes emotional depth, reflecting on family and lost connections as part of his character development."', 'source_id': 'chunk-89777b838d5447c7bd1ec11282c4ee89'} -2024-10-30 06:46:05,827 - lightrag - INFO - _check_node_exists:query:MATCH (n:`SCROOGE`) RETURN count(n) > 0 AS node_exists:result:True -2024-10-30 06:46:05,991 - lightrag - INFO - _check_node_exists:query:MATCH (n:`TIM`) RETURN count(n) > 0 AS node_exists:result:True -2024-10-30 06:46:06,172 - lightrag - INFO - _do_upsert_edge:query: - MATCH (source:`SCROOGE`) - WITH source - MATCH (target:`TIM`) - MERGE (source)-[r:DIRECTED]->(target) - SET r += $properties - RETURN r - :result:None -2024-10-30 06:46:06,356 - lightrag - INFO - _check_edge_existence:query:MATCH (a:`OLD SCROOGE`)-[r]-(b:`SCROOGE`) RETURN COUNT(r) > 0 AS edgeExists:result:True -2024-10-30 06:46:06,493 - lightrag - INFO - get_edge:query: - MATCH (start:`OLD SCROOGE`)-[r]->(end:`SCROOGE`) - RETURN properties(r) as edge_properties - LIMIT 1 - :result:{'keywords': '"character history, development"', 'weight': 7.0, 'description': '"Scrooge\'s history is revealed through the mention of Old Scrooge, indicating his past beliefs and practices that shape his current persona."', 'source_id': 'chunk-89777b838d5447c7bd1ec11282c4ee89'} -2024-10-30 06:46:06,624 - lightrag - INFO - _check_node_exists:query:MATCH (n:`OLD SCROOGE`) RETURN count(n) > 0 AS node_exists:result:True -2024-10-30 06:46:06,780 - lightrag - INFO - _check_node_exists:query:MATCH (n:`SCROOGE`) RETURN count(n) > 0 AS node_exists:result:True -2024-10-30 06:46:06,962 - lightrag - INFO - _do_upsert_edge:query: - MATCH (source:`OLD SCROOGE`) - WITH source - MATCH (target:`SCROOGE`) - MERGE (source)-[r:DIRECTED]->(target) - SET r += $properties - RETURN r - :result:None -2024-10-30 06:46:07,139 - lightrag - INFO - _check_edge_existence:query:MATCH (a:`MARLEY'S FUNERAL`)-[r]-(b:`SCROOGE`) RETURN COUNT(r) > 0 AS edgeExists:result:True -2024-10-30 06:46:07,277 - lightrag - INFO - get_edge:query: - MATCH (start:`MARLEY'S FUNERAL`)-[r]->(end:`SCROOGE`) - RETURN properties(r) as edge_properties - LIMIT 1 - :result:{'keywords': '"loss, character journey"', 'weight': 9.0, 'description': '"Marley\'s Funeral signifies the beginning of Scrooge\'s emotional journey, showcasing his reaction to loss and setting the stage for the narrative."', 'source_id': 'chunk-89777b838d5447c7bd1ec11282c4ee89'} -2024-10-30 06:46:07,411 - lightrag - INFO - _check_node_exists:query:MATCH (n:`MARLEY'S FUNERAL`) RETURN count(n) > 0 AS node_exists:result:True -2024-10-30 06:46:07,569 - lightrag - INFO - _check_node_exists:query:MATCH (n:`SCROOGE`) RETURN count(n) > 0 AS node_exists:result:True -2024-10-30 06:46:07,756 - lightrag - INFO - _do_upsert_edge:query: - MATCH (source:`MARLEY'S FUNERAL`) - WITH source - MATCH (target:`SCROOGE`) - MERGE (source)-[r:DIRECTED]->(target) - SET r += $properties - RETURN r - :result:None -2024-10-30 06:46:07,942 - lightrag - INFO - _check_edge_existence:query:MATCH (a:`SCROOGE`)-[r]-(b:`SCROOGE'S NEPHEW`) RETURN COUNT(r) > 0 AS edgeExists:result:True -2024-10-30 06:46:08,084 - lightrag - INFO - get_edge:query: - MATCH (start:`SCROOGE`)-[r]->(end:`SCROOGE'S NEPHEW`) - RETURN properties(r) as edge_properties - LIMIT 1 - :result:{'keywords': '"family conflict, differing perspectives""family dynamics, contrasting views""family dynamics, opposing views"', 'weight': 24.0, 'description': '"Scrooge\'s Nephew contrasts with Scrooge, advocating for merriment and showing pity for his uncle\'s ill tempers.""Scrooge\'s Nephew tries to cheer Scrooge up and promote the joy of Christmas, but is met with rejection and negativity.""Scrooge\'s Nephew tries to convince Scrooge of the joys of Christmas, illustrating the conflict between their differing views on the holiday."', 'source_id': 'chunk-773d0df1dd25c356f7b771d780583e09chunk-74e2466de2f67fd710ef2f20c0a8d9e0chunk-5dac41b3f9eeaf794f0147400b1718cd'} -2024-10-30 06:46:08,205 - lightrag - INFO - _check_node_exists:query:MATCH (n:`SCROOGE`) RETURN count(n) > 0 AS node_exists:result:True -2024-10-30 06:46:08,379 - lightrag - INFO - _check_node_exists:query:MATCH (n:`SCROOGE'S NEPHEW`) RETURN count(n) > 0 AS node_exists:result:True -2024-10-30 06:46:08,559 - lightrag - INFO - _do_upsert_edge:query: - MATCH (source:`SCROOGE`) - WITH source - MATCH (target:`SCROOGE'S NEPHEW`) - MERGE (source)-[r:DIRECTED]->(target) - SET r += $properties - RETURN r - :result:None -2024-10-30 06:46:08,738 - lightrag - INFO - _check_edge_existence:query:MATCH (a:`CHRISTMAS`)-[r]-(b:`SCROOGE'S NEPHEW`) RETURN COUNT(r) > 0 AS edgeExists:result:True -2024-10-30 06:46:08,870 - lightrag - INFO - get_edge:query: - MATCH (start:`CHRISTMAS`)-[r]->(end:`SCROOGE'S NEPHEW`) - RETURN properties(r) as edge_properties - LIMIT 1 - :result:{'keywords': '"advocacy for holiday spirit, family dynamics"', 'weight': 9.0, 'description': '"Scrooge\'s Nephew defends the positive aspects of Christmas, contrasting Scrooge\'s view that the holiday is pointless."', 'source_id': 'chunk-5dac41b3f9eeaf794f0147400b1718cd'} -2024-10-30 06:46:08,994 - lightrag - INFO - _check_node_exists:query:MATCH (n:`CHRISTMAS`) RETURN count(n) > 0 AS node_exists:result:True -2024-10-30 06:46:09,171 - lightrag - INFO - _check_node_exists:query:MATCH (n:`SCROOGE'S NEPHEW`) RETURN count(n) > 0 AS node_exists:result:True -2024-10-30 06:46:09,357 - lightrag - INFO - _do_upsert_edge:query: - MATCH (source:`CHRISTMAS`) - WITH source - MATCH (target:`SCROOGE'S NEPHEW`) - MERGE (source)-[r:DIRECTED]->(target) - SET r += $properties - RETURN r - :result:None -2024-10-30 06:46:09,533 - lightrag - INFO - _check_edge_existence:query:MATCH (a:`COUNTING-HOUSE`)-[r]-(b:`SCROOGE`) RETURN COUNT(r) > 0 AS edgeExists:result:True -2024-10-30 06:46:09,669 - lightrag - INFO - get_edge:query: - MATCH (start:`COUNTING-HOUSE`)-[r]->(end:`SCROOGE`) - RETURN properties(r) as edge_properties - LIMIT 1 - :result:{'keywords': '"isolation, work environment""reflection, priorities"', 'weight': 16.0, 'description': '"Scrooge reflects on his life spent in the Counting-house, which represents his previous priorities focused on business over personal connections.""Scrooge\'s counting-house is a reflection of his cold character and attitude towards life, where he isolates himself from human interactions."', 'source_id': 'chunk-74e2466de2f67fd710ef2f20c0a8d9e0chunk-359187e7571bda4b0b08b2e0b6581e52'} -2024-10-30 06:46:09,800 - lightrag - INFO - _check_node_exists:query:MATCH (n:`COUNTING-HOUSE`) RETURN count(n) > 0 AS node_exists:result:True -2024-10-30 06:46:09,962 - lightrag - INFO - _check_node_exists:query:MATCH (n:`SCROOGE`) RETURN count(n) > 0 AS node_exists:result:True -2024-10-30 06:46:10,143 - lightrag - INFO - _do_upsert_edge:query: - MATCH (source:`COUNTING-HOUSE`) - WITH source - MATCH (target:`SCROOGE`) - MERGE (source)-[r:DIRECTED]->(target) - SET r += $properties - RETURN r - :result:None -2024-10-30 06:46:10,325 - lightrag - INFO - _check_edge_existence:query:MATCH (a:`BEGGARS`)-[r]-(b:`SCROOGE`) RETURN COUNT(r) > 0 AS edgeExists:result:True -2024-10-30 06:46:10,460 - lightrag - INFO - get_edge:query: - MATCH (start:`BEGGARS`)-[r]->(end:`SCROOGE`) - RETURN properties(r) as edge_properties - LIMIT 1 - :result:{'keywords': '"lack of compassion, social isolation"', 'weight': 6.0, 'description': '"Beggars do not seek help from Scrooge due to his reputation, highlighting his inability to connect and empathize with those in need."', 'source_id': 'chunk-74e2466de2f67fd710ef2f20c0a8d9e0'} -2024-10-30 06:46:10,590 - lightrag - INFO - _check_node_exists:query:MATCH (n:`BEGGARS`) RETURN count(n) > 0 AS node_exists:result:True -2024-10-30 06:46:10,746 - lightrag - INFO - _check_node_exists:query:MATCH (n:`SCROOGE`) RETURN count(n) > 0 AS node_exists:result:True -2024-10-30 06:46:10,934 - lightrag - INFO - _do_upsert_edge:query: - MATCH (source:`BEGGARS`) - WITH source - MATCH (target:`SCROOGE`) - MERGE (source)-[r:DIRECTED]->(target) - SET r += $properties - RETURN r - :result:None -2024-10-30 06:46:11,113 - lightrag - INFO - _check_edge_existence:query:MATCH (a:`CHILDREN`)-[r]-(b:`SCROOGE`) RETURN COUNT(r) > 0 AS edgeExists:result:True -2024-10-30 06:46:11,250 - lightrag - INFO - get_edge:query: - MATCH (start:`CHILDREN`)-[r]->(end:`SCROOGE`) - RETURN properties(r) as edge_properties - LIMIT 1 - :result:{'keywords': '"longing, innocence"', 'weight': 7.0, 'description': '"Scrooge\'s reaction to the Children he observes in his memories reveals his longing for the happiness he once knew but has since lost."', 'source_id': 'chunk-bb21d58d36c6306fd8810ddd51c4a971'} -2024-10-30 06:46:11,380 - lightrag - INFO - _check_node_exists:query:MATCH (n:`CHILDREN`) RETURN count(n) > 0 AS node_exists:result:True -2024-10-30 06:46:11,535 - lightrag - INFO - _check_node_exists:query:MATCH (n:`SCROOGE`) RETURN count(n) > 0 AS node_exists:result:True -2024-10-30 06:46:11,714 - lightrag - INFO - _do_upsert_edge:query: - MATCH (source:`CHILDREN`) - WITH source - MATCH (target:`SCROOGE`) - MERGE (source)-[r:DIRECTED]->(target) - SET r += $properties - RETURN r - :result:None -2024-10-30 06:46:11,892 - lightrag - INFO - _check_edge_existence:query:MATCH (a:`COLD WEATHER`)-[r]-(b:`SCROOGE`) RETURN COUNT(r) > 0 AS edgeExists:result:True -2024-10-30 06:46:12,029 - lightrag - INFO - get_edge:query: - MATCH (start:`COLD WEATHER`)-[r]->(end:`SCROOGE`) - RETURN properties(r) as edge_properties - LIMIT 1 - :result:{'keywords': '"atmosphere, personality mirror"', 'weight': 9.0, 'description': '"The cold weather reflects Scrooge\'s icy demeanor, emphasizing his negative attitude towards life and others."', 'source_id': 'chunk-74e2466de2f67fd710ef2f20c0a8d9e0'} -2024-10-30 06:46:12,161 - lightrag - INFO - _check_node_exists:query:MATCH (n:`COLD WEATHER`) RETURN count(n) > 0 AS node_exists:result:True -2024-10-30 06:46:12,324 - lightrag - INFO - _check_node_exists:query:MATCH (n:`SCROOGE`) RETURN count(n) > 0 AS node_exists:result:True -2024-10-30 06:46:12,509 - lightrag - INFO - _do_upsert_edge:query: - MATCH (source:`COLD WEATHER`) - WITH source - MATCH (target:`SCROOGE`) - MERGE (source)-[r:DIRECTED]->(target) - SET r += $properties - RETURN r - :result:None -2024-10-30 06:46:12,685 - lightrag - INFO - _check_edge_existence:query:MATCH (a:`FOG`)-[r]-(b:`SCROOGE`) RETURN COUNT(r) > 0 AS edgeExists:result:True -2024-10-30 06:46:12,817 - lightrag - INFO - get_edge:query: - MATCH (start:`FOG`)-[r]->(end:`SCROOGE`) - RETURN properties(r) as edge_properties - LIMIT 1 - :result:{'keywords': '"atmosphere, emotional reflection"', 'weight': 8.0, 'description': '"Fog represents the obscured vision of Scrooge\'s soul and emotions, aligning with his unknowable nature."', 'source_id': 'chunk-d9aac3484185ac66045df92214d245d5'} -2024-10-30 06:46:12,948 - lightrag - INFO - _check_node_exists:query:MATCH (n:`FOG`) RETURN count(n) > 0 AS node_exists:result:True -2024-10-30 06:46:13,102 - lightrag - INFO - _check_node_exists:query:MATCH (n:`SCROOGE`) RETURN count(n) > 0 AS node_exists:result:True -2024-10-30 06:46:13,286 - lightrag - INFO - _do_upsert_edge:query: - MATCH (source:`FOG`) - WITH source - MATCH (target:`SCROOGE`) - MERGE (source)-[r:DIRECTED]->(target) - SET r += $properties - RETURN r - :result:None -2024-10-30 06:46:13,466 - lightrag - INFO - _check_edge_existence:query:MATCH (a:`COURT`)-[r]-(b:`SCROOGE`) RETURN COUNT(r) > 0 AS edgeExists:result:True -2024-10-30 06:46:13,598 - lightrag - INFO - get_edge:query: - MATCH (start:`COURT`)-[r]->(end:`SCROOGE`) - RETURN properties(r) as edge_properties - LIMIT 1 - :result:{'keywords': '"social contrast, isolation"', 'weight': 7.0, 'description': '"The court serves as a contrasting backdrop to Scrooge’s private space, where social warmth and interaction occur, which he actively avoids."', 'source_id': 'chunk-74e2466de2f67fd710ef2f20c0a8d9e0'} -2024-10-30 06:46:13,728 - lightrag - INFO - _check_node_exists:query:MATCH (n:`COURT`) RETURN count(n) > 0 AS node_exists:result:True -2024-10-30 06:46:13,883 - lightrag - INFO - _check_node_exists:query:MATCH (n:`SCROOGE`) RETURN count(n) > 0 AS node_exists:result:True -2024-10-30 06:46:14,078 - lightrag - INFO - _do_upsert_edge:query: - MATCH (source:`COURT`) - WITH source - MATCH (target:`SCROOGE`) - MERGE (source)-[r:DIRECTED]->(target) - SET r += $properties - RETURN r - :result:None -2024-10-30 06:46:14,271 - lightrag - INFO - _check_edge_existence:query:MATCH (a:`MARLEY`)-[r]-(b:`SCROOGE AND MARLEY'S`) RETURN COUNT(r) > 0 AS edgeExists:result:True -2024-10-30 06:46:14,406 - lightrag - INFO - get_edge:query: - MATCH (start:`MARLEY`)-[r]->(end:`SCROOGE AND MARLEY'S`) - RETURN properties(r) as edge_properties - LIMIT 1 - :result:{'keywords': '"partnership, legacy"', 'weight': 6.0, 'description': '"Scrooge and Marley\'s is the business associated with Marley, emphasizing its history and the weight of Marley\'s legacy in shaping Scrooge\'s character."', 'source_id': 'chunk-5dac41b3f9eeaf794f0147400b1718cd'} -2024-10-30 06:46:14,540 - lightrag - INFO - _check_node_exists:query:MATCH (n:`MARLEY`) RETURN count(n) > 0 AS node_exists:result:True -2024-10-30 06:46:14,708 - lightrag - INFO - _check_node_exists:query:MATCH (n:`SCROOGE AND MARLEY'S`) RETURN count(n) > 0 AS node_exists:result:True -2024-10-30 06:46:14,900 - lightrag - INFO - _do_upsert_edge:query: - MATCH (source:`MARLEY`) - WITH source - MATCH (target:`SCROOGE AND MARLEY'S`) - MERGE (source)-[r:DIRECTED]->(target) - SET r += $properties - RETURN r - :result:None -2024-10-30 06:46:15,082 - lightrag - INFO - _check_edge_existence:query:MATCH (a:`CLERK`)-[r]-(b:`SCROOGE`) RETURN COUNT(r) > 0 AS edgeExists:result:True -2024-10-30 06:46:15,217 - lightrag - INFO - get_edge:query: - MATCH (start:`CLERK`)-[r]->(end:`SCROOGE`) - RETURN properties(r) as edge_properties - LIMIT 1 - :result:{'keywords': '"employment relationship, respect"', 'weight': 5.0, 'description': '"The Clerk communicates with Scrooge about his work, highlighting the lack of mutual respect in their employer-employee relationship."', 'source_id': 'chunk-d9aac3484185ac66045df92214d245d5'} -2024-10-30 06:46:15,352 - lightrag - INFO - _check_node_exists:query:MATCH (n:`CLERK`) RETURN count(n) > 0 AS node_exists:result:True -2024-10-30 06:46:15,514 - lightrag - INFO - _check_node_exists:query:MATCH (n:`SCROOGE`) RETURN count(n) > 0 AS node_exists:result:True -2024-10-30 06:46:15,698 - lightrag - INFO - _do_upsert_edge:query: - MATCH (source:`CLERK`) - WITH source - MATCH (target:`SCROOGE`) - MERGE (source)-[r:DIRECTED]->(target) - SET r += $properties - RETURN r - :result:None -2024-10-30 06:46:15,872 - lightrag - INFO - _check_edge_existence:query:MATCH (a:`SCROOGE`)-[r]-(b:`THE GENTLEMEN`) RETURN COUNT(r) > 0 AS edgeExists:result:True -2024-10-30 06:46:16,002 - lightrag - INFO - get_edge:query: - MATCH (start:`SCROOGE`)-[r]->(end:`THE GENTLEMEN`) - RETURN properties(r) as edge_properties - LIMIT 1 - :result:{'keywords': '"charity, social responsibility"', 'weight': 8.0, 'description': '"The Gentlemen approach Scrooge about donations for the poor, representing a charitable campaign that he strongly resists."', 'source_id': 'chunk-5dac41b3f9eeaf794f0147400b1718cd'} -2024-10-30 06:46:16,122 - lightrag - INFO - _check_node_exists:query:MATCH (n:`SCROOGE`) RETURN count(n) > 0 AS node_exists:result:True -2024-10-30 06:46:16,297 - lightrag - INFO - _check_node_exists:query:MATCH (n:`THE GENTLEMEN`) RETURN count(n) > 0 AS node_exists:result:True -2024-10-30 06:46:16,512 - lightrag - INFO - _do_upsert_edge:query: - MATCH (source:`SCROOGE`) - WITH source - MATCH (target:`THE GENTLEMEN`) - MERGE (source)-[r:DIRECTED]->(target) - SET r += $properties - RETURN r - :result:None -2024-10-30 06:46:16,687 - lightrag - INFO - _check_edge_existence:query:MATCH (a:`POOR AND DESTITUTE`)-[r]-(b:`SCROOGE`) RETURN COUNT(r) > 0 AS edgeExists:result:True -2024-10-30 06:46:16,819 - lightrag - INFO - get_edge:query: - MATCH (start:`POOR AND DESTITUTE`)-[r]->(end:`SCROOGE`) - RETURN properties(r) as edge_properties - LIMIT 1 - :result:{'keywords': '"miserliness, social neglect"', 'weight': 7.0, 'description': '"Scrooge\'s reluctance to support the Poor and Destitute highlights his miserly nature and his antagonism toward societal responsibility."', 'source_id': 'chunk-5dac41b3f9eeaf794f0147400b1718cd'} -2024-10-30 06:46:16,946 - lightrag - INFO - _check_node_exists:query:MATCH (n:`POOR AND DESTITUTE`) RETURN count(n) > 0 AS node_exists:result:True -2024-10-30 06:46:17,105 - lightrag - INFO - _check_node_exists:query:MATCH (n:`SCROOGE`) RETURN count(n) > 0 AS node_exists:result:True -2024-10-30 06:46:17,285 - lightrag - INFO - _do_upsert_edge:query: - MATCH (source:`POOR AND DESTITUTE`) - WITH source - MATCH (target:`SCROOGE`) - MERGE (source)-[r:DIRECTED]->(target) - SET r += $properties - RETURN r - :result:None -2024-10-30 06:46:17,463 - lightrag - INFO - _check_edge_existence:query:MATCH (a:`CHRISTMAS-TIME`)-[r]-(b:`SCROOGE'S NEPHEW`) RETURN COUNT(r) > 0 AS edgeExists:result:True -2024-10-30 06:46:17,600 - lightrag - INFO - get_edge:query: - MATCH (start:`CHRISTMAS-TIME`)-[r]->(end:`SCROOGE'S NEPHEW`) - RETURN properties(r) as edge_properties - LIMIT 1 - :result:{'keywords': '"celebration, family dynamics"', 'weight': 8.0, 'description': '"Scrooge\'s Nephew celebrates Christmas-Time as a period for kindness and charity, clashing with Scrooge\'s cynical view."', 'source_id': 'chunk-5dac41b3f9eeaf794f0147400b1718cd'} -2024-10-30 06:46:17,726 - lightrag - INFO - _check_node_exists:query:MATCH (n:`CHRISTMAS-TIME`) RETURN count(n) > 0 AS node_exists:result:True -2024-10-30 06:46:17,892 - lightrag - INFO - _check_node_exists:query:MATCH (n:`SCROOGE'S NEPHEW`) RETURN count(n) > 0 AS node_exists:result:True -2024-10-30 06:46:18,069 - lightrag - INFO - _do_upsert_edge:query: - MATCH (source:`CHRISTMAS-TIME`) - WITH source - MATCH (target:`SCROOGE'S NEPHEW`) - MERGE (source)-[r:DIRECTED]->(target) - SET r += $properties - RETURN r - :result:None -2024-10-30 06:46:18,248 - lightrag - INFO - _check_edge_existence:query:MATCH (a:`BEDLAM`)-[r]-(b:`SCROOGE`) RETURN COUNT(r) > 0 AS edgeExists:result:True -2024-10-30 06:46:18,379 - lightrag - INFO - get_edge:query: - MATCH (start:`BEDLAM`)-[r]->(end:`SCROOGE`) - RETURN properties(r) as edge_properties - LIMIT 1 - :result:{'keywords': '"disdain, societal norms"', 'weight': 6.0, 'description': '"Scrooge invokes the concept of Bedlam to express his disbelief and frustration at the cheerfulness of others, implying a disdain for societal norms."', 'source_id': 'chunk-5dac41b3f9eeaf794f0147400b1718cd'} -2024-10-30 06:46:18,512 - lightrag - INFO - _check_node_exists:query:MATCH (n:`BEDLAM`) RETURN count(n) > 0 AS node_exists:result:True -2024-10-30 06:46:18,671 - lightrag - INFO - _check_node_exists:query:MATCH (n:`SCROOGE`) RETURN count(n) > 0 AS node_exists:result:True -2024-10-30 06:46:18,844 - lightrag - INFO - _do_upsert_edge:query: - MATCH (source:`BEDLAM`) - WITH source - MATCH (target:`SCROOGE`) - MERGE (source)-[r:DIRECTED]->(target) - SET r += $properties - RETURN r - :result:None -2024-10-30 06:46:19,019 - lightrag - INFO - _check_edge_existence:query:MATCH (a:`SCROOGE`)-[r]-(b:`THE GENTLEMAN`) RETURN COUNT(r) > 0 AS edgeExists:result:True -2024-10-30 06:46:19,150 - lightrag - INFO - get_edge:query: - MATCH (start:`SCROOGE`)-[r]->(end:`THE GENTLEMAN`) - RETURN properties(r) as edge_properties - LIMIT 1 - :result:{'keywords': '"charity, conflict of values"', 'weight': 8.0, 'description': '"Scrooge and The Gentleman have opposing views on charity and helping the poor during Christmas, showing a stark contrast in values."', 'source_id': 'chunk-90d5764e301321c087f5a8f78b73a145'} -2024-10-30 06:46:19,265 - lightrag - INFO - _check_node_exists:query:MATCH (n:`SCROOGE`) RETURN count(n) > 0 AS node_exists:result:True -2024-10-30 06:46:19,431 - lightrag - INFO - _check_node_exists:query:MATCH (n:`THE GENTLEMAN`) RETURN count(n) > 0 AS node_exists:result:True -2024-10-30 06:46:19,617 - lightrag - INFO - _do_upsert_edge:query: - MATCH (source:`SCROOGE`) - WITH source - MATCH (target:`THE GENTLEMAN`) - MERGE (source)-[r:DIRECTED]->(target) - SET r += $properties - RETURN r - :result:None -2024-10-30 06:46:19,790 - lightrag - INFO - _check_edge_existence:query:MATCH (a:`THE GENTLEMAN`)-[r]-(b:`THE POOR LAW`) RETURN COUNT(r) > 0 AS edgeExists:result:True -2024-10-30 06:46:19,920 - lightrag - INFO - get_edge:query: - MATCH (start:`THE GENTLEMAN`)-[r]->(end:`THE POOR LAW`) - RETURN properties(r) as edge_properties - LIMIT 1 - :result:{'keywords': '"charity, systemic support"', 'weight': 6.0, 'description': '"The Gentleman references the Poor Law as part of his argument for helping the needy, illustrating systemic support for the impoverished."', 'source_id': 'chunk-90d5764e301321c087f5a8f78b73a145'} -2024-10-30 06:46:20,052 - lightrag - INFO - _check_node_exists:query:MATCH (n:`THE GENTLEMAN`) RETURN count(n) > 0 AS node_exists:result:True -2024-10-30 06:46:20,222 - lightrag - INFO - _check_node_exists:query:MATCH (n:`THE POOR LAW`) RETURN count(n) > 0 AS node_exists:result:True -2024-10-30 06:46:20,404 - lightrag - INFO - _do_upsert_edge:query: - MATCH (source:`THE GENTLEMAN`) - WITH source - MATCH (target:`THE POOR LAW`) - MERGE (source)-[r:DIRECTED]->(target) - SET r += $properties - RETURN r - :result:None -2024-10-30 06:46:20,584 - lightrag - INFO - _check_edge_existence:query:MATCH (a:`THE POOR LAW`)-[r]-(b:`THE UNION WORKHOUSES`) RETURN COUNT(r) > 0 AS edgeExists:result:True -2024-10-30 06:46:20,723 - lightrag - INFO - get_edge:query: - MATCH (start:`THE POOR LAW`)-[r]->(end:`THE UNION WORKHOUSES`) - RETURN properties(r) as edge_properties - LIMIT 1 - :result:{'keywords': '"support mechanisms, charity"', 'weight': 7.0, 'description': '"The Poor Law and Union Workhouses are connected as they both serve as mechanisms for helping the poor, albeit with differing implications for charity."', 'source_id': 'chunk-90d5764e301321c087f5a8f78b73a145'} -2024-10-30 06:46:20,854 - lightrag - INFO - _check_node_exists:query:MATCH (n:`THE POOR LAW`) RETURN count(n) > 0 AS node_exists:result:True -2024-10-30 06:46:21,016 - lightrag - INFO - _check_node_exists:query:MATCH (n:`THE UNION WORKHOUSES`) RETURN count(n) > 0 AS node_exists:result:True -2024-10-30 06:46:21,193 - lightrag - INFO - _do_upsert_edge:query: - MATCH (source:`THE POOR LAW`) - WITH source - MATCH (target:`THE UNION WORKHOUSES`) - MERGE (source)-[r:DIRECTED]->(target) - SET r += $properties - RETURN r - :result:None -2024-10-30 06:46:21,369 - lightrag - INFO - _check_edge_existence:query:MATCH (a:`THE LADY MAYOR`)-[r]-(b:`THE MANSION HOUSE`) RETURN COUNT(r) > 0 AS edgeExists:result:True -2024-10-30 06:46:21,502 - lightrag - INFO - get_edge:query: - MATCH (start:`THE LADY MAYOR`)-[r]->(end:`THE MANSION HOUSE`) - RETURN properties(r) as edge_properties - LIMIT 1 - :result:{'keywords': '"holiday preparations, community significance"', 'weight': 8.0, 'description': '"The Lady Mayor prepares for Christmas festivities at the Mansion House, highlighting the importance of the event to the community."', 'source_id': 'chunk-90d5764e301321c087f5a8f78b73a145'} -2024-10-30 06:46:21,634 - lightrag - INFO - _check_node_exists:query:MATCH (n:`THE LADY MAYOR`) RETURN count(n) > 0 AS node_exists:result:True -2024-10-30 06:46:21,809 - lightrag - INFO - _check_node_exists:query:MATCH (n:`THE MANSION HOUSE`) RETURN count(n) > 0 AS node_exists:result:True -2024-10-30 06:46:21,994 - lightrag - INFO - _do_upsert_edge:query: - MATCH (source:`THE LADY MAYOR`) - WITH source - MATCH (target:`THE MANSION HOUSE`) - MERGE (source)-[r:DIRECTED]->(target) - SET r += $properties - RETURN r - :result:None -2024-10-30 06:46:22,173 - lightrag - INFO - _check_edge_existence:query:MATCH (a:`BOB CRATCHIT`)-[r]-(b:`SCROOGE`) RETURN COUNT(r) > 0 AS edgeExists:result:True -2024-10-30 06:46:22,308 - lightrag - INFO - get_edge:query: - MATCH (start:`BOB CRATCHIT`)-[r]->(end:`SCROOGE`) - RETURN properties(r) as edge_properties - LIMIT 1 - :result:{'keywords': '"employment, generosity""employment, power dynamic""employment, social reflection""family dynamics, acknowledgment""generosity, relationship change""gratitude, redemption"', 'weight': 40.0, 'description': '"Bob Cratchit tries to maintain a positive atmosphere during the Christmas feast despite the negative association with Scrooge.""Bob praises Scrooge as \'The Founder of the Feast\', showing appreciation despite Scrooge’s previous miserliness.""Scrooge decides to send a turkey to Bob Cratchit, indicating a newfound kindness towards him and his family.""Scrooge is Bob Cratchit\'s employer, and he reflects on the challenges Bob faces regarding family and food on Christmas Day.".""Scrooge is the employer of Bob Cratchit, demonstrating a power dynamic characterized by Scrooge\'s harsh treatment and Bob\'s subservient role.""Scrooge reprimands Bob for arriving late, but ultimately decides to raise his salary, signaling a significant change in their employer-employee relationship."', 'source_id': 'chunk-503f0bfa5453467c7c61d160a3540ecachunk-90b95db5c53e4364a6bee36b7aa4d70fchunk-b0f459f5af1c3a5e0b92cbe4ee48b77bchunk-d9aac3484185ac66045df92214d245d5chunk-94bea83e7153fc2064aa382b494936a1chunk-19d72c57ae3408758b18d2568e86dc6b'} -2024-10-30 06:46:22,431 - lightrag - INFO - _check_node_exists:query:MATCH (n:`BOB CRATCHIT`) RETURN count(n) > 0 AS node_exists:result:True -2024-10-30 06:46:22,586 - lightrag - INFO - _check_node_exists:query:MATCH (n:`SCROOGE`) RETURN count(n) > 0 AS node_exists:result:True -2024-10-30 06:46:22,765 - lightrag - INFO - _do_upsert_edge:query: - MATCH (source:`BOB CRATCHIT`) - WITH source - MATCH (target:`SCROOGE`) - MERGE (source)-[r:DIRECTED]->(target) - SET r += $properties - RETURN r - :result:None -2024-10-30 06:46:22,941 - lightrag - INFO - _check_edge_existence:query:MATCH (a:`CHRISTMAS EVE`)-[r]-(b:`SCROOGE`) RETURN COUNT(r) > 0 AS edgeExists:result:True -2024-10-30 06:46:23,074 - lightrag - INFO - get_edge:query: - MATCH (start:`CHRISTMAS EVE`)-[r]->(end:`SCROOGE`) - RETURN properties(r) as edge_properties - LIMIT 1 - :result:{'keywords': '"holiday spirit, character development"', 'weight': 8.0, 'description': '"Scrooge\'s actions and attitudes towards Christmas Eve highlight his disdain for traditional celebrations, setting the tone for his character arc."', 'source_id': 'chunk-d9aac3484185ac66045df92214d245d5'} -2024-10-30 06:46:23,201 - lightrag - INFO - _check_node_exists:query:MATCH (n:`CHRISTMAS EVE`) RETURN count(n) > 0 AS node_exists:result:True -2024-10-30 06:46:23,360 - lightrag - INFO - _check_node_exists:query:MATCH (n:`SCROOGE`) RETURN count(n) > 0 AS node_exists:result:True -2024-10-30 06:46:23,538 - lightrag - INFO - _do_upsert_edge:query: - MATCH (source:`CHRISTMAS EVE`) - WITH source - MATCH (target:`SCROOGE`) - MERGE (source)-[r:DIRECTED]->(target) - SET r += $properties - RETURN r - :result:None -2024-10-30 06:46:23,712 - lightrag - INFO - _check_edge_existence:query:MATCH (a:`BOB CRATCHIT`)-[r]-(b:`CHRISTMAS EVE`) RETURN COUNT(r) > 0 AS edgeExists:result:True -2024-10-30 06:46:23,845 - lightrag - INFO - get_edge:query: - MATCH (start:`BOB CRATCHIT`)-[r]->(end:`CHRISTMAS EVE`) - RETURN properties(r) as edge_properties - LIMIT 1 - :result:{'keywords': '"celebration, contrast"', 'weight': 5.0, 'description': '"Bob Cratchit embodies the joy of Christmas Eve while Scrooge\'s perspective starkly contrasts with Bob\'s happiness during the holiday season."', 'source_id': 'chunk-d9aac3484185ac66045df92214d245d5'} -2024-10-30 06:46:23,969 - lightrag - INFO - _check_node_exists:query:MATCH (n:`BOB CRATCHIT`) RETURN count(n) > 0 AS node_exists:result:True -2024-10-30 06:46:24,136 - lightrag - INFO - _check_node_exists:query:MATCH (n:`CHRISTMAS EVE`) RETURN count(n) > 0 AS node_exists:result:True -2024-10-30 06:46:24,318 - lightrag - INFO - _do_upsert_edge:query: - MATCH (source:`BOB CRATCHIT`) - WITH source - MATCH (target:`CHRISTMAS EVE`) - MERGE (source)-[r:DIRECTED]->(target) - SET r += $properties - RETURN r - :result:None -2024-10-30 06:46:24,505 - lightrag - INFO - _check_edge_existence:query:MATCH (a:`SCROOGE`)-[r]-(b:`THE COUNTING-HOUSE`) RETURN COUNT(r) > 0 AS edgeExists:result:True -2024-10-30 06:46:24,641 - lightrag - INFO - get_edge:query: - MATCH (start:`SCROOGE`)-[r]->(end:`THE COUNTING-HOUSE`) - RETURN properties(r) as edge_properties - LIMIT 1 - :result:{'keywords': '"work environment, character development""work environment, personality reflection"', 'weight': 14.0, 'description': '"Scrooge\'s work environment reflects his personality, being cold and uninviting, mirroring his discontent with life.""The Counting-House is where Scrooge works, illustrating the environment that shapes his bleak personality."', 'source_id': 'chunk-d9aac3484185ac66045df92214d245d5chunk-74e2466de2f67fd710ef2f20c0a8d9e0'} -2024-10-30 06:46:24,763 - lightrag - INFO - _check_node_exists:query:MATCH (n:`SCROOGE`) RETURN count(n) > 0 AS node_exists:result:True -2024-10-30 06:46:24,929 - lightrag - INFO - _check_node_exists:query:MATCH (n:`THE COUNTING-HOUSE`) RETURN count(n) > 0 AS node_exists:result:True -2024-10-30 06:46:25,106 - lightrag - INFO - _do_upsert_edge:query: - MATCH (source:`SCROOGE`) - WITH source - MATCH (target:`THE COUNTING-HOUSE`) - MERGE (source)-[r:DIRECTED]->(target) - SET r += $properties - RETURN r - :result:None -2024-10-30 06:46:25,288 - lightrag - INFO - _check_edge_existence:query:MATCH (a:`SCROOGE`)-[r]-(b:`THE KNOCKER`) RETURN COUNT(r) > 0 AS edgeExists:result:True -2024-10-30 06:46:25,420 - lightrag - INFO - get_edge:query: - MATCH (start:`SCROOGE`)-[r]->(end:`THE KNOCKER`) - RETURN properties(r) as edge_properties - LIMIT 1 - :result:{'keywords': '"appreciation, transformation""symbolism, transformation"', 'weight': 15.0, 'description': '"Scrooge admires the knocker at his door, marking a positive change in his attitude towards life and surroundings.""The Knocker, transforming into Marley\'s face, symbolizes Scrooge\'s ghostly past and impending redemption challenges."', 'source_id': 'chunk-d9aac3484185ac66045df92214d245d5chunk-8f738cb25d60a7dab782162d9d0a25ed'} -2024-10-30 06:46:25,545 - lightrag - INFO - _check_node_exists:query:MATCH (n:`SCROOGE`) RETURN count(n) > 0 AS node_exists:result:True -2024-10-30 06:46:25,714 - lightrag - INFO - _check_node_exists:query:MATCH (n:`THE KNOCKER`) RETURN count(n) > 0 AS node_exists:result:True -2024-10-30 06:46:25,903 - lightrag - INFO - _do_upsert_edge:query: - MATCH (source:`SCROOGE`) - WITH source - MATCH (target:`THE KNOCKER`) - MERGE (source)-[r:DIRECTED]->(target) - SET r += $properties - RETURN r - :result:None -2024-10-30 06:46:26,089 - lightrag - INFO - _check_edge_existence:query:MATCH (a:`SCROOGE`)-[r]-(b:`THE YARD`) RETURN COUNT(r) > 0 AS edgeExists:result:True -2024-10-30 06:46:26,223 - lightrag - INFO - get_edge:query: - MATCH (start:`SCROOGE`)-[r]->(end:`THE YARD`) - RETURN properties(r) as edge_properties - LIMIT 1 - :result:{'keywords': '"isolation, emotional landscape"', 'weight': 8.0, 'description': '"The Yard represents the isolation in Scrooge\'s life, physically and metaphorically reflecting his emotional state."', 'source_id': 'chunk-d9aac3484185ac66045df92214d245d5'} -2024-10-30 06:46:26,340 - lightrag - INFO - _check_node_exists:query:MATCH (n:`SCROOGE`) RETURN count(n) > 0 AS node_exists:result:True -2024-10-30 06:46:26,513 - lightrag - INFO - _check_node_exists:query:MATCH (n:`THE YARD`) RETURN count(n) > 0 AS node_exists:result:True -2024-10-30 06:46:26,690 - lightrag - INFO - _do_upsert_edge:query: - MATCH (source:`SCROOGE`) - WITH source - MATCH (target:`THE YARD`) - MERGE (source)-[r:DIRECTED]->(target) - SET r += $properties - RETURN r - :result:None -2024-10-30 06:46:26,871 - lightrag - INFO - _check_edge_existence:query:MATCH (a:`SCROOGE`)-[r]-(b:`THE FOG AND FROST`) RETURN COUNT(r) > 0 AS edgeExists:result:True -2024-10-30 06:46:27,001 - lightrag - INFO - get_edge:query: - MATCH (start:`SCROOGE`)-[r]->(end:`THE FOG AND FROST`) - RETURN properties(r) as edge_properties - LIMIT 1 - :result:{'keywords': '"atmosphere, emotional coldness"', 'weight': 7.0, 'description': '"The Fog and Frost enveloping Scrooge\'s home reflect the chilling atmosphere of his life and his emotional coldness."', 'source_id': 'chunk-d9aac3484185ac66045df92214d245d5'} -2024-10-30 06:46:27,118 - lightrag - INFO - _check_node_exists:query:MATCH (n:`SCROOGE`) RETURN count(n) > 0 AS node_exists:result:True -2024-10-30 06:46:27,289 - lightrag - INFO - _check_node_exists:query:MATCH (n:`THE FOG AND FROST`) RETURN count(n) > 0 AS node_exists:result:True -2024-10-30 06:46:27,474 - lightrag - INFO - _do_upsert_edge:query: - MATCH (source:`SCROOGE`) - WITH source - MATCH (target:`THE FOG AND FROST`) - MERGE (source)-[r:DIRECTED]->(target) - SET r += $properties - RETURN r - :result:None -2024-10-30 06:46:27,651 - lightrag - INFO - _check_edge_existence:query:MATCH (a:`BOB CRATCHIT`)-[r]-(b:`THE COUNTING-HOUSE CLERK`) RETURN COUNT(r) > 0 AS edgeExists:result:True -2024-10-30 06:46:27,787 - lightrag - INFO - get_edge:query: - MATCH (start:`BOB CRATCHIT`)-[r]->(end:`THE COUNTING-HOUSE CLERK`) - RETURN properties(r) as edge_properties - LIMIT 1 - :result:{'keywords': '"workforce dynamics, character contrast"', 'weight': 6.0, 'description': '"Bob Cratchit and The Counting-House Clerk represent the working class under Scrooge\'s employment, showcasing different character traits in the context of their work."', 'source_id': 'chunk-d9aac3484185ac66045df92214d245d5'} -2024-10-30 06:46:27,904 - lightrag - INFO - _check_node_exists:query:MATCH (n:`BOB CRATCHIT`) RETURN count(n) > 0 AS node_exists:result:True -2024-10-30 06:46:28,070 - lightrag - INFO - _check_node_exists:query:MATCH (n:`THE COUNTING-HOUSE CLERK`) RETURN count(n) > 0 AS node_exists:result:True -2024-10-30 06:46:28,246 - lightrag - INFO - _do_upsert_edge:query: - MATCH (source:`BOB CRATCHIT`) - WITH source - MATCH (target:`THE COUNTING-HOUSE CLERK`) - MERGE (source)-[r:DIRECTED]->(target) - SET r += $properties - RETURN r - :result:None -2024-10-30 06:46:28,423 - lightrag - INFO - _check_edge_existence:query:MATCH (a:`SCROOGE`)-[r]-(b:`THE GHOST OF MARLEY`) RETURN COUNT(r) > 0 AS edgeExists:result:True -2024-10-30 06:46:28,561 - lightrag - INFO - get_edge:query: - MATCH (start:`SCROOGE`)-[r]->(end:`THE GHOST OF MARLEY`) - RETURN properties(r) as edge_properties - LIMIT 1 - :result:{'keywords': '"supernatural, moral reckoning"', 'weight': 9.0, 'description': '"The Ghost of Marley symbolizes Scrooge\'s past mistakes and serves as a catalyst for his transformation."', 'source_id': 'chunk-d9aac3484185ac66045df92214d245d5'} -2024-10-30 06:46:28,679 - lightrag - INFO - _check_node_exists:query:MATCH (n:`SCROOGE`) RETURN count(n) > 0 AS node_exists:result:True -2024-10-30 06:46:28,845 - lightrag - INFO - _check_node_exists:query:MATCH (n:`THE GHOST OF MARLEY`) RETURN count(n) > 0 AS node_exists:result:True -2024-10-30 06:46:29,024 - lightrag - INFO - _do_upsert_edge:query: - MATCH (source:`SCROOGE`) - WITH source - MATCH (target:`THE GHOST OF MARLEY`) - MERGE (source)-[r:DIRECTED]->(target) - SET r += $properties - RETURN r - :result:None -2024-10-30 06:46:29,197 - lightrag - INFO - _check_edge_existence:query:MATCH (a:`BOB CRATCHIT`)-[r]-(b:`CAMDEN TOWN`) RETURN COUNT(r) > 0 AS edgeExists:result:True -2024-10-30 06:46:29,330 - lightrag - INFO - get_edge:query: - MATCH (start:`BOB CRATCHIT`)-[r]->(end:`CAMDEN TOWN`) - RETURN properties(r) as edge_properties - LIMIT 1 - :result:{'keywords': '"contrast, warmth"', 'weight': 6.0, 'description': '"Camden Town serves as a location representing warmth and family contrast to Scrooge\'s loneliness."', 'source_id': 'chunk-d9aac3484185ac66045df92214d245d5'} -2024-10-30 06:46:29,447 - lightrag - INFO - _check_node_exists:query:MATCH (n:`BOB CRATCHIT`) RETURN count(n) > 0 AS node_exists:result:True -2024-10-30 06:46:29,613 - lightrag - INFO - _check_node_exists:query:MATCH (n:`CAMDEN TOWN`) RETURN count(n) > 0 AS node_exists:result:True -2024-10-30 06:46:29,795 - lightrag - INFO - _do_upsert_edge:query: - MATCH (source:`BOB CRATCHIT`) - WITH source - MATCH (target:`CAMDEN TOWN`) - MERGE (source)-[r:DIRECTED]->(target) - SET r += $properties - RETURN r - :result:None -2024-10-30 06:46:29,975 - lightrag - INFO - _check_edge_existence:query:MATCH (a:`THE CANDLE`)-[r]-(b:`THE FOG AND FROST`) RETURN COUNT(r) > 0 AS edgeExists:result:True -2024-10-30 06:46:30,108 - lightrag - INFO - get_edge:query: - MATCH (start:`THE CANDLE`)-[r]->(end:`THE FOG AND FROST`) - RETURN properties(r) as edge_properties - LIMIT 1 - :result:{'keywords': '"hope, contrast"', 'weight': 6.0, 'description': '"The Candle symbolizes a flicker of warmth and hope in the bleak setting of Fog and Frost, contrasting the overall atmosphere."', 'source_id': 'chunk-d9aac3484185ac66045df92214d245d5'} -2024-10-30 06:46:30,235 - lightrag - INFO - _check_node_exists:query:MATCH (n:`THE CANDLE`) RETURN count(n) > 0 AS node_exists:result:True -2024-10-30 06:46:30,406 - lightrag - INFO - _check_node_exists:query:MATCH (n:`THE FOG AND FROST`) RETURN count(n) > 0 AS node_exists:result:True -2024-10-30 06:46:30,590 - lightrag - INFO - _do_upsert_edge:query: - MATCH (source:`THE CANDLE`) - WITH source - MATCH (target:`THE FOG AND FROST`) - MERGE (source)-[r:DIRECTED]->(target) - SET r += $properties - RETURN r - :result:None -2024-10-30 06:46:30,768 - lightrag - INFO - _check_edge_existence:query:MATCH (a:`SCROOGE`)-[r]-(b:`THE HOUSE`) RETURN COUNT(r) > 0 AS edgeExists:result:True -2024-10-30 06:46:30,903 - lightrag - INFO - get_edge:query: - MATCH (start:`SCROOGE`)-[r]->(end:`THE HOUSE`) - RETURN properties(r) as edge_properties - LIMIT 1 - :result:{'keywords': '"haunting, setting influence"', 'weight': 8.0, 'description': '"Scrooge\'s experiences with Marley\'s Ghost occur within The House, which plays a crucial role in the haunting atmosphere."', 'source_id': 'chunk-9c43dac2fcd5b578242d907ea6f8fc7b'} -2024-10-30 06:46:31,022 - lightrag - INFO - _check_node_exists:query:MATCH (n:`SCROOGE`) RETURN count(n) > 0 AS node_exists:result:True -2024-10-30 06:46:31,185 - lightrag - INFO - _check_node_exists:query:MATCH (n:`THE HOUSE`) RETURN count(n) > 0 AS node_exists:result:True -2024-10-30 06:46:31,363 - lightrag - INFO - _do_upsert_edge:query: - MATCH (source:`SCROOGE`) - WITH source - MATCH (target:`THE HOUSE`) - MERGE (source)-[r:DIRECTED]->(target) - SET r += $properties - RETURN r - :result:None -2024-10-30 06:46:31,542 - lightrag - INFO - _check_edge_existence:query:MATCH (a:`MARLEY`)-[r]-(b:`THE GHOST`) RETURN COUNT(r) > 0 AS edgeExists:result:True -2024-10-30 06:46:31,676 - lightrag - INFO - get_edge:query: - MATCH (start:`MARLEY`)-[r]->(end:`THE GHOST`) - RETURN properties(r) as edge_properties - LIMIT 1 - :result:{'keywords': '"haunting, past choices"', 'weight': 9.0, 'description': '"Marley is the embodiment of The Ghost that appears to Scrooge, representing past choices and the consequences of his actions."', 'source_id': 'chunk-9c43dac2fcd5b578242d907ea6f8fc7b'} -2024-10-30 06:46:31,814 - lightrag - INFO - _check_node_exists:query:MATCH (n:`MARLEY`) RETURN count(n) > 0 AS node_exists:result:True -2024-10-30 06:46:31,986 - lightrag - INFO - _check_node_exists:query:MATCH (n:`THE GHOST`) RETURN count(n) > 0 AS node_exists:result:True -2024-10-30 06:46:32,169 - lightrag - INFO - _do_upsert_edge:query: - MATCH (source:`MARLEY`) - WITH source - MATCH (target:`THE GHOST`) - MERGE (source)-[r:DIRECTED]->(target) - SET r += $properties - RETURN r - :result:None -2024-10-30 06:46:32,350 - lightrag - INFO - _check_edge_existence:query:MATCH (a:`SCROOGE`)-[r]-(b:`THE BELL`) RETURN COUNT(r) > 0 AS edgeExists:result:True -2024-10-30 06:46:32,485 - lightrag - INFO - get_edge:query: - MATCH (start:`SCROOGE`)-[r]->(end:`THE BELL`) - RETURN properties(r) as edge_properties - LIMIT 1 - :result:{'keywords': '"foreboding, supernatural"', 'weight': 8.0, 'description': '"The Bell\'s movement and sound foreshadow Marley\'s Ghost\'s appearance, enhancing the sense of impending supernatural activity in Scrooge\'s environment."', 'source_id': 'chunk-9c43dac2fcd5b578242d907ea6f8fc7b'} -2024-10-30 06:46:32,608 - lightrag - INFO - _check_node_exists:query:MATCH (n:`SCROOGE`) RETURN count(n) > 0 AS node_exists:result:True -2024-10-30 06:46:32,772 - lightrag - INFO - _check_node_exists:query:MATCH (n:`THE BELL`) RETURN count(n) > 0 AS node_exists:result:True -2024-10-30 06:46:32,955 - lightrag - INFO - _do_upsert_edge:query: - MATCH (source:`SCROOGE`) - WITH source - MATCH (target:`THE BELL`) - MERGE (source)-[r:DIRECTED]->(target) - SET r += $properties - RETURN r - :result:None -2024-10-30 06:46:33,132 - lightrag - INFO - _check_edge_existence:query:MATCH (a:`MARLEY`)-[r]-(b:`THE HEAVY CHAIN`) RETURN COUNT(r) > 0 AS edgeExists:result:True -2024-10-30 06:46:33,266 - lightrag - INFO - get_edge:query: - MATCH (start:`MARLEY`)-[r]->(end:`THE HEAVY CHAIN`) - RETURN properties(r) as edge_properties - LIMIT 1 - :result:{'keywords': '"burden, consequence"', 'weight': 9.0, 'description': '"The Heavy Chain is linked to Marley as it suggests the burdens he carries from his earthly life, which he now haunts Scrooge with."', 'source_id': 'chunk-9c43dac2fcd5b578242d907ea6f8fc7b'} -2024-10-30 06:46:33,397 - lightrag - INFO - _check_node_exists:query:MATCH (n:`MARLEY`) RETURN count(n) > 0 AS node_exists:result:True -2024-10-30 06:46:33,573 - lightrag - INFO - _check_node_exists:query:MATCH (n:`THE HEAVY CHAIN`) RETURN count(n) > 0 AS node_exists:result:True -2024-10-30 06:46:33,757 - lightrag - INFO - _do_upsert_edge:query: - MATCH (source:`MARLEY`) - WITH source - MATCH (target:`THE HEAVY CHAIN`) - MERGE (source)-[r:DIRECTED]->(target) - SET r += $properties - RETURN r - :result:None -2024-10-30 06:46:33,931 - lightrag - INFO - _check_edge_existence:query:MATCH (a:`SCROOGE`)-[r]-(b:`THE WINE-MERCHANT'S CELLAR`) RETURN COUNT(r) > 0 AS edgeExists:result:True -2024-10-30 06:46:34,063 - lightrag - INFO - get_edge:query: - MATCH (start:`SCROOGE`)-[r]->(end:`THE WINE-MERCHANT'S CELLAR`) - RETURN properties(r) as edge_properties - LIMIT 1 - :result:{'keywords': '"atmosphere, haunting"', 'weight': 8.0, 'description': '"Scrooge hears the dragging chains from The Wine-Merchant\'s Cellar, indicating that the haunting presence is felt throughout The House."', 'source_id': 'chunk-9c43dac2fcd5b578242d907ea6f8fc7b'} -2024-10-30 06:46:34,182 - lightrag - INFO - _check_node_exists:query:MATCH (n:`SCROOGE`) RETURN count(n) > 0 AS node_exists:result:True -2024-10-30 06:46:34,348 - lightrag - INFO - _check_node_exists:query:MATCH (n:`THE WINE-MERCHANT'S CELLAR`) RETURN count(n) > 0 AS node_exists:result:True -2024-10-30 06:46:34,530 - lightrag - INFO - _do_upsert_edge:query: - MATCH (source:`SCROOGE`) - WITH source - MATCH (target:`THE WINE-MERCHANT'S CELLAR`) - MERGE (source)-[r:DIRECTED]->(target) - SET r += $properties - RETURN r - :result:None -2024-10-30 06:46:34,709 - lightrag - INFO - _check_edge_existence:query:MATCH (a:`SCROOGE`)-[r]-(b:`THE GRATE`) RETURN COUNT(r) > 0 AS edgeExists:result:True -2024-10-30 06:46:34,847 - lightrag - INFO - get_edge:query: - MATCH (start:`SCROOGE`)-[r]->(end:`THE GRATE`) - RETURN properties(r) as edge_properties - LIMIT 1 - :result:{'keywords': '"isolation, setting mood"', 'weight': 6.0, 'description': '"The Grate\'s cold fire adds to the bleak setting of Scrooge\'s home, illustrating his disconnection from warmth and comfort before the supernatural events unfold."', 'source_id': 'chunk-9c43dac2fcd5b578242d907ea6f8fc7b'} -2024-10-30 06:46:34,963 - lightrag - INFO - _check_node_exists:query:MATCH (n:`SCROOGE`) RETURN count(n) > 0 AS node_exists:result:True -2024-10-30 06:46:35,136 - lightrag - INFO - _check_node_exists:query:MATCH (n:`THE GRATE`) RETURN count(n) > 0 AS node_exists:result:True -2024-10-30 06:46:35,316 - lightrag - INFO - _do_upsert_edge:query: - MATCH (source:`SCROOGE`) - WITH source - MATCH (target:`THE GRATE`) - MERGE (source)-[r:DIRECTED]->(target) - SET r += $properties - RETURN r - :result:None -2024-10-30 06:46:35,495 - lightrag - INFO - _check_edge_existence:query:MATCH (a:`SCROOGE`)-[r]-(b:`THE DYING FLAME`) RETURN COUNT(r) > 0 AS edgeExists:result:True -2024-10-30 06:46:35,628 - lightrag - INFO - get_edge:query: - MATCH (start:`SCROOGE`)-[r]->(end:`THE DYING FLAME`) - RETURN properties(r) as edge_properties - LIMIT 1 - :result:{'keywords': '"fear, conflict"', 'weight': 8.0, 'description': '"The Dying Flame\'s flickering is reflective of Scrooge\'s fear and mental state in the presence of the ghost, amplifying his internal conflict."', 'source_id': 'chunk-9c43dac2fcd5b578242d907ea6f8fc7b'} -2024-10-30 06:46:35,749 - lightrag - INFO - _check_node_exists:query:MATCH (n:`SCROOGE`) RETURN count(n) > 0 AS node_exists:result:True -2024-10-30 06:46:35,917 - lightrag - INFO - _check_node_exists:query:MATCH (n:`THE DYING FLAME`) RETURN count(n) > 0 AS node_exists:result:True -2024-10-30 06:46:36,095 - lightrag - INFO - _do_upsert_edge:query: - MATCH (source:`SCROOGE`) - WITH source - MATCH (target:`THE DYING FLAME`) - MERGE (source)-[r:DIRECTED]->(target) - SET r += $properties - RETURN r - :result:None -2024-10-30 06:46:36,270 - lightrag - INFO - _check_edge_existence:query:MATCH (a:`MARLEY'S GHOST`)-[r]-(b:`SCROOGE`) RETURN COUNT(r) > 0 AS edgeExists:result:True -2024-10-30 06:46:36,405 - lightrag - INFO - get_edge:query: - MATCH (start:`MARLEY'S GHOST`)-[r]->(end:`SCROOGE`) - RETURN properties(r) as edge_properties - LIMIT 1 - :result:{'keywords': '"supernatural confrontation, regret""warning, fate"', 'weight': 18.0, 'description': '"Marley\'s Ghost warns Scrooge about the consequences of his actions and the visits of the three spirits, setting the stage for his transformation.""Scrooge is haunted by Marley\'s Ghost, which confronts him as a part of a supernatural occurrence meant to incite fear and reflection on his life choices."', 'source_id': 'chunk-9c43dac2fcd5b578242d907ea6f8fc7bchunk-cb661c37436355ccec2769b1d0350c5f'} -2024-10-30 06:46:36,531 - lightrag - INFO - _check_node_exists:query:MATCH (n:`MARLEY'S GHOST`) RETURN count(n) > 0 AS node_exists:result:True -2024-10-30 06:46:36,694 - lightrag - INFO - _check_node_exists:query:MATCH (n:`SCROOGE`) RETURN count(n) > 0 AS node_exists:result:True -2024-10-30 06:46:36,886 - lightrag - INFO - _do_upsert_edge:query: - MATCH (source:`MARLEY'S GHOST`) - WITH source - MATCH (target:`SCROOGE`) - MERGE (source)-[r:DIRECTED]->(target) - SET r += $properties - RETURN r - :result:None -2024-10-30 06:46:37,065 - lightrag - INFO - _check_edge_existence:query:MATCH (a:`JACOB MARLEY`)-[r]-(b:`MARLEY'S GHOST`) RETURN COUNT(r) > 0 AS edgeExists:result:True -2024-10-30 06:46:37,196 - lightrag - INFO - get_edge:query: - MATCH (start:`JACOB MARLEY`)-[r]->(end:`MARLEY'S GHOST`) - RETURN properties(r) as edge_properties - LIMIT 1 - :result:{'keywords': '"past partnership, redemption"', 'weight': 9.0, 'description': '"Jacob Marley is the entity represented by Marley\'s Ghost, embodying the warning about the repercussions of a life focused solely on material gain."', 'source_id': 'chunk-1aa50206d02ed89418f65f97c6441d1c'} -2024-10-30 06:46:37,324 - lightrag - INFO - _check_node_exists:query:MATCH (n:`JACOB MARLEY`) RETURN count(n) > 0 AS node_exists:result:True -2024-10-30 06:46:37,493 - lightrag - INFO - _check_node_exists:query:MATCH (n:`MARLEY'S GHOST`) RETURN count(n) > 0 AS node_exists:result:True -2024-10-30 06:46:37,672 - lightrag - INFO - _do_upsert_edge:query: - MATCH (source:`JACOB MARLEY`) - WITH source - MATCH (target:`MARLEY'S GHOST`) - MERGE (source)-[r:DIRECTED]->(target) - SET r += $properties - RETURN r - :result:None -2024-10-30 06:46:37,852 - lightrag - INFO - _check_edge_existence:query:MATCH (a:`GHOST`)-[r]-(b:`SCROOGE`) RETURN COUNT(r) > 0 AS edgeExists:result:True -2024-10-30 06:46:37,986 - lightrag - INFO - get_edge:query: - MATCH (start:`GHOST`)-[r]->(end:`SCROOGE`) - RETURN properties(r) as edge_properties - LIMIT 1 - :result:{'keywords': '"reflection, self-discovery""spiritual guidance, transformation"', 'weight': 17.0, 'description': '"The Ghost guides Scrooge through reflections of his past, influencing his journey toward redemption.""The Ghost takes Scrooge on a journey to teach him lessons about generosity and compassion towards others."', 'source_id': 'chunk-c6c248858d1b13ab7ee9ca13c1aeed6bchunk-e7637ff18c5ded77a68cce0a87883fad'} -2024-10-30 06:46:38,115 - lightrag - INFO - _check_node_exists:query:MATCH (n:`GHOST`) RETURN count(n) > 0 AS node_exists:result:True -2024-10-30 06:46:38,272 - lightrag - INFO - _check_node_exists:query:MATCH (n:`SCROOGE`) RETURN count(n) > 0 AS node_exists:result:True -2024-10-30 06:46:38,447 - lightrag - INFO - _do_upsert_edge:query: - MATCH (source:`GHOST`) - WITH source - MATCH (target:`SCROOGE`) - MERGE (source)-[r:DIRECTED]->(target) - SET r += $properties - RETURN r - :result:None -2024-10-30 06:46:38,629 - lightrag - INFO - _check_edge_existence:query:MATCH (a:`GHOST`)-[r]-(b:`JACOB MARLEY`) RETURN COUNT(r) > 0 AS edgeExists:result:True -2024-10-30 06:46:38,764 - lightrag - INFO - get_edge:query: - MATCH (start:`GHOST`)-[r]->(end:`JACOB MARLEY`) - RETURN properties(r) as edge_properties - LIMIT 1 - :result:{'keywords': '"identity, remorse"', 'weight': 10.0, 'description': '"The Ghost is revealed to be Jacob Marley, who embodies the regret of a wasted life and the importance of personal responsibility."', 'source_id': 'chunk-359187e7571bda4b0b08b2e0b6581e52'} -2024-10-30 06:46:38,898 - lightrag - INFO - _check_node_exists:query:MATCH (n:`GHOST`) RETURN count(n) > 0 AS node_exists:result:True -2024-10-30 06:46:39,064 - lightrag - INFO - _check_node_exists:query:MATCH (n:`JACOB MARLEY`) RETURN count(n) > 0 AS node_exists:result:True -2024-10-30 06:46:39,243 - lightrag - INFO - _do_upsert_edge:query: - MATCH (source:`GHOST`) - WITH source - MATCH (target:`JACOB MARLEY`) - MERGE (source)-[r:DIRECTED]->(target) - SET r += $properties - RETURN r - :result:None -2024-10-30 06:46:39,421 - lightrag - INFO - _check_edge_existence:query:MATCH (a:`JACOB MARLEY`)-[r]-(b:`SCROOGE`) RETURN COUNT(r) > 0 AS edgeExists:result:True -2024-10-30 06:46:39,556 - lightrag - INFO - get_edge:query: - MATCH (start:`JACOB MARLEY`)-[r]->(end:`SCROOGE`) - RETURN properties(r) as edge_properties - LIMIT 1 - :result:{'keywords': '"catalyst for change, supernatural guidance""past influence, warning""redemption, moral lesson""supernatural encounter, past ties""transformation, influence""warning, transformation"', 'weight': 54.0, 'description': '"Jacob Marley is the spirit who brings forth the need for Scrooge to change his ways, impacting his character development.""Scrooge confronts Jacob Marley, his former business partner, who returns as a ghost to influence Scrooge\'s perspective on life and his actions.""Scrooge converses with the ghost of Jacob Marley, who tries to guide him toward understanding the importance of compassion and the consequences of his actions.""Scrooge interacts with Jacob Marley, who serves as a critical warning for Scrooge to change his ways before it\'s too late.""Scrooge reflects on Jacob Marley’s past warnings, which serve as a catalyst for his transformation.""Scrooge\'s transformation is prompted by the appearance and message of Jacob Marley, his former business partner."', 'source_id': 'chunk-90b95db5c53e4364a6bee36b7aa4d70fchunk-1aa50206d02ed89418f65f97c6441d1cchunk-02baee20cc9463dbe08170a8e1043e32chunk-91572b3cd42786ba4cb2f180ca25cbf4chunk-da2472b4ef2a535b62908f14d0fb0ca9chunk-359187e7571bda4b0b08b2e0b6581e52'} -2024-10-30 06:46:39,675 - lightrag - INFO - _check_node_exists:query:MATCH (n:`JACOB MARLEY`) RETURN count(n) > 0 AS node_exists:result:True -2024-10-30 06:46:39,839 - lightrag - INFO - _check_node_exists:query:MATCH (n:`SCROOGE`) RETURN count(n) > 0 AS node_exists:result:True -2024-10-30 06:46:40,026 - lightrag - INFO - _do_upsert_edge:query: - MATCH (source:`JACOB MARLEY`) - WITH source - MATCH (target:`SCROOGE`) - MERGE (source)-[r:DIRECTED]->(target) - SET r += $properties - RETURN r - :result:None -2024-10-30 06:46:40,200 - lightrag - INFO - _check_edge_existence:query:MATCH (a:`GHOST`)-[r]-(b:`MANKIND`) RETURN COUNT(r) > 0 AS edgeExists:result:True -2024-10-30 06:46:40,333 - lightrag - INFO - get_edge:query: - MATCH (start:`GHOST`)-[r]->(end:`MANKIND`) - RETURN properties(r) as edge_properties - LIMIT 1 - :result:{'keywords': '"moral duty, call to action"', 'weight': 9.0, 'description': '"The Ghost emphasizes that Mankind was his true business in life, urging Scrooge to focus on the welfare of others."', 'source_id': 'chunk-359187e7571bda4b0b08b2e0b6581e52'} -2024-10-30 06:46:40,453 - lightrag - INFO - _check_node_exists:query:MATCH (n:`GHOST`) RETURN count(n) > 0 AS node_exists:result:True -2024-10-30 06:46:40,617 - lightrag - INFO - _check_node_exists:query:MATCH (n:`MANKIND`) RETURN count(n) > 0 AS node_exists:result:True -2024-10-30 06:46:40,794 - lightrag - INFO - _do_upsert_edge:query: - MATCH (source:`GHOST`) - WITH source - MATCH (target:`MANKIND`) - MERGE (source)-[r:DIRECTED]->(target) - SET r += $properties - RETURN r - :result:None -2024-10-30 06:46:40,973 - lightrag - INFO - _check_edge_existence:query:MATCH (a:`CHRISTMAS EVES`)-[r]-(b:`SCROOGE`) RETURN COUNT(r) > 0 AS edgeExists:result:True -2024-10-30 06:46:41,111 - lightrag - INFO - get_edge:query: - MATCH (start:`CHRISTMAS EVES`)-[r]->(end:`SCROOGE`) - RETURN properties(r) as edge_properties - LIMIT 1 - :result:{'keywords': '"time of reflection, redemption"', 'weight': 7.0, 'description': '"Christmas Eves symbolize a critical time for self-reflection and understanding one\'s past decisions, linking to Scrooge\'s journey of redemption."', 'source_id': 'chunk-359187e7571bda4b0b08b2e0b6581e52'} -2024-10-30 06:46:41,240 - lightrag - INFO - _check_node_exists:query:MATCH (n:`CHRISTMAS EVES`) RETURN count(n) > 0 AS node_exists:result:True -2024-10-30 06:46:41,395 - lightrag - INFO - _check_node_exists:query:MATCH (n:`SCROOGE`) RETURN count(n) > 0 AS node_exists:result:True -2024-10-30 06:46:41,577 - lightrag - INFO - _do_upsert_edge:query: - MATCH (source:`CHRISTMAS EVES`) - WITH source - MATCH (target:`SCROOGE`) - MERGE (source)-[r:DIRECTED]->(target) - SET r += $properties - RETURN r - :result:None -2024-10-30 06:46:41,758 - lightrag - INFO - _check_edge_existence:query:MATCH (a:`ETERNAL CHAIN`)-[r]-(b:`GHOST`) RETURN COUNT(r) > 0 AS edgeExists:result:True -2024-10-30 06:46:41,893 - lightrag - INFO - get_edge:query: - MATCH (start:`ETERNAL CHAIN`)-[r]->(end:`GHOST`) - RETURN properties(r) as edge_properties - LIMIT 1 - :result:{'keywords': '"burden, regret"', 'weight': 9.0, 'description': '"The Ghost describes the Eternal Chain as a symbol of the burdens he carries due to his life choices, emphasizing the consequences of neglecting humanity."', 'source_id': 'chunk-359187e7571bda4b0b08b2e0b6581e52'} -2024-10-30 06:46:42,026 - lightrag - INFO - _check_node_exists:query:MATCH (n:`ETERNAL CHAIN`) RETURN count(n) > 0 AS node_exists:result:True -2024-10-30 06:46:42,183 - lightrag - INFO - _check_node_exists:query:MATCH (n:`GHOST`) RETURN count(n) > 0 AS node_exists:result:True -2024-10-30 06:46:42,359 - lightrag - INFO - _do_upsert_edge:query: - MATCH (source:`ETERNAL CHAIN`) - WITH source - MATCH (target:`GHOST`) - MERGE (source)-[r:DIRECTED]->(target) - SET r += $properties - RETURN r - :result:None -2024-10-30 06:46:42,537 - lightrag - INFO - _check_edge_existence:query:MATCH (a:`STAR`)-[r]-(b:`WISE MEN`) RETURN COUNT(r) > 0 AS edgeExists:result:True -2024-10-30 06:46:42,674 - lightrag - INFO - get_edge:query: - MATCH (start:`STAR`)-[r]->(end:`WISE MEN`) - RETURN properties(r) as edge_properties - LIMIT 1 - :result:{'keywords': '"guidance, generosity"', 'weight': 7.0, 'description': '"The Star guided the Wise Men to recognize the importance of giving, which relates to the values that the Ghost tries to impart to Scrooge."', 'source_id': 'chunk-359187e7571bda4b0b08b2e0b6581e52'} -2024-10-30 06:46:42,804 - lightrag - INFO - _check_node_exists:query:MATCH (n:`STAR`) RETURN count(n) > 0 AS node_exists:result:True -2024-10-30 06:46:42,972 - lightrag - INFO - _check_node_exists:query:MATCH (n:`WISE MEN`) RETURN count(n) > 0 AS node_exists:result:True -2024-10-30 06:46:43,151 - lightrag - INFO - _do_upsert_edge:query: - MATCH (source:`STAR`) - WITH source - MATCH (target:`WISE MEN`) - MERGE (source)-[r:DIRECTED]->(target) - SET r += $properties - RETURN r - :result:None -2024-10-30 06:46:43,327 - lightrag - INFO - _check_edge_existence:query:MATCH (a:`FELLOW-BEINGS`)-[r]-(b:`SCROOGE`) RETURN COUNT(r) > 0 AS edgeExists:result:True -2024-10-30 06:46:43,460 - lightrag - INFO - get_edge:query: - MATCH (start:`FELLOW-BEINGS`)-[r]->(end:`SCROOGE`) - RETURN properties(r) as edge_properties - LIMIT 1 - :result:{'keywords': '"neglect, realization"', 'weight': 8.0, 'description': '"Scrooge is confronted with his past choices to ignore Fellow-beings, leading to a realization of his moral failures."', 'source_id': 'chunk-359187e7571bda4b0b08b2e0b6581e52'} -2024-10-30 06:46:43,590 - lightrag - INFO - _check_node_exists:query:MATCH (n:`FELLOW-BEINGS`) RETURN count(n) > 0 AS node_exists:result:True -2024-10-30 06:46:43,750 - lightrag - INFO - _check_node_exists:query:MATCH (n:`SCROOGE`) RETURN count(n) > 0 AS node_exists:result:True -2024-10-30 06:46:43,930 - lightrag - INFO - _do_upsert_edge:query: - MATCH (source:`FELLOW-BEINGS`) - WITH source - MATCH (target:`SCROOGE`) - MERGE (source)-[r:DIRECTED]->(target) - SET r += $properties - RETURN r - :result:None -2024-10-30 06:46:44,105 - lightrag - INFO - _check_edge_existence:query:MATCH (a:`CHRISTMAS SPIRIT`)-[r]-(b:`GHOST`) RETURN COUNT(r) > 0 AS edgeExists:result:True -2024-10-30 06:46:44,235 - lightrag - INFO - get_edge:query: - MATCH (start:`CHRISTMAS SPIRIT`)-[r]->(end:`GHOST`) - RETURN properties(r) as edge_properties - LIMIT 1 - :result:{'keywords': '"values, transformation"', 'weight': 9.0, 'description': '"The Ghost embodies the Christmas Spirit\'s values of compassion and kindness, urging Scrooge to reconsider his way of living."', 'source_id': 'chunk-359187e7571bda4b0b08b2e0b6581e52'} -2024-10-30 06:46:44,361 - lightrag - INFO - _check_node_exists:query:MATCH (n:`CHRISTMAS SPIRIT`) RETURN count(n) > 0 AS node_exists:result:True -2024-10-30 06:46:44,517 - lightrag - INFO - _check_node_exists:query:MATCH (n:`GHOST`) RETURN count(n) > 0 AS node_exists:result:True -2024-10-30 06:46:44,697 - lightrag - INFO - _do_upsert_edge:query: - MATCH (source:`CHRISTMAS SPIRIT`) - WITH source - MATCH (target:`GHOST`) - MERGE (source)-[r:DIRECTED]->(target) - SET r += $properties - RETURN r - :result:None -2024-10-30 06:46:44,877 - lightrag - INFO - _check_edge_existence:query:MATCH (a:`GHOST`)-[r]-(b:`SPECTRE`) RETURN COUNT(r) > 0 AS edgeExists:result:True -2024-10-30 06:46:45,020 - lightrag - INFO - get_edge:query: - MATCH (start:`GHOST`)-[r]->(end:`SPECTRE`) - RETURN properties(r) as edge_properties - LIMIT 1 - :result:{'keywords': '"identity, motivation"', 'weight': 10.0, 'description': '"The Spectre is synonymous with the Ghost, representing the collective spirit urging Scrooge to change his ways."', 'source_id': 'chunk-359187e7571bda4b0b08b2e0b6581e52'} -2024-10-30 06:46:45,139 - lightrag - INFO - _check_node_exists:query:MATCH (n:`GHOST`) RETURN count(n) > 0 AS node_exists:result:True -2024-10-30 06:46:45,307 - lightrag - INFO - _check_node_exists:query:MATCH (n:`SPECTRE`) RETURN count(n) > 0 AS node_exists:result:True -2024-10-30 06:46:45,486 - lightrag - INFO - _do_upsert_edge:query: - MATCH (source:`GHOST`) - WITH source - MATCH (target:`SPECTRE`) - MERGE (source)-[r:DIRECTED]->(target) - SET r += $properties - RETURN r - :result:None -2024-10-30 06:46:45,667 - lightrag - INFO - _check_edge_existence:query:MATCH (a:`JACOB MARLEY`)-[r]-(b:`THE THREE SPIRITS`) RETURN COUNT(r) > 0 AS edgeExists:result:True -2024-10-30 06:46:45,802 - lightrag - INFO - get_edge:query: - MATCH (start:`JACOB MARLEY`)-[r]->(end:`THE THREE SPIRITS`) - RETURN properties(r) as edge_properties - LIMIT 1 - :result:{'keywords': '"guidance, redemption"', 'weight': 8.0, 'description': '"Jacob Marley indicates that Scrooge will be visited by The Three Spirits to offer him guidance and the chance for redemption."', 'source_id': 'chunk-cb661c37436355ccec2769b1d0350c5f'} -2024-10-30 06:46:45,924 - lightrag - INFO - _check_node_exists:query:MATCH (n:`JACOB MARLEY`) RETURN count(n) > 0 AS node_exists:result:True -2024-10-30 06:46:46,097 - lightrag - INFO - _check_node_exists:query:MATCH (n:`THE THREE SPIRITS`) RETURN count(n) > 0 AS node_exists:result:True -2024-10-30 06:46:46,278 - lightrag - INFO - _do_upsert_edge:query: - MATCH (source:`JACOB MARLEY`) - WITH source - MATCH (target:`THE THREE SPIRITS`) - MERGE (source)-[r:DIRECTED]->(target) - SET r += $properties - RETURN r - :result:None -2024-10-30 06:46:46,452 - lightrag - INFO - _check_edge_existence:query:MATCH (a:`SCROOGE`)-[r]-(b:`THE GHOST`) RETURN COUNT(r) > 0 AS edgeExists:result:True -2024-10-30 06:46:46,586 - lightrag - INFO - get_edge:query: - MATCH (start:`SCROOGE`)-[r]->(end:`THE GHOST`) - RETURN properties(r) as edge_properties - LIMIT 1 - :result:{'keywords': '"guidance, transformation""memory, influence""reflection, guidance""self-reflection, transformation"', 'weight': 35.0, 'description': '"Scrooge\'s engagement with The Ghost prompts a significant emotional and psychological transformation as he confronts his past.""The Ghost guides Scrooge through visions of his past, forcing him to confront his choices and their consequences.""The Ghost influences Scrooge\'s reflections on his past and his current emotions regarding Christmas festivities.""The Ghost serves as a catalyst for Scrooge\'s reflections, guiding him to confront his past and feelings about Christmas."', 'source_id': 'chunk-da2472b4ef2a535b62908f14d0fb0ca9chunk-43c9bee23adfa77aa9dedd22401bba7dchunk-54bdd22db1f84a965b5f4c06c9216d8dchunk-8590d9263cd2cd4fa583c432fc54e6c3'} -2024-10-30 06:46:46,710 - lightrag - INFO - _check_node_exists:query:MATCH (n:`SCROOGE`) RETURN count(n) > 0 AS node_exists:result:True -2024-10-30 06:46:46,887 - lightrag - INFO - _check_node_exists:query:MATCH (n:`THE GHOST`) RETURN count(n) > 0 AS node_exists:result:True -2024-10-30 06:46:47,073 - lightrag - INFO - _do_upsert_edge:query: - MATCH (source:`SCROOGE`) - WITH source - MATCH (target:`THE GHOST`) - MERGE (source)-[r:DIRECTED]->(target) - SET r += $properties - RETURN r - :result:None -2024-10-30 06:46:47,249 - lightrag - INFO - _check_edge_existence:query:MATCH (a:`SCROOGE`)-[r]-(b:`THE PHANTOM VOICES`) RETURN COUNT(r) > 0 AS edgeExists:result:True -2024-10-30 06:46:47,382 - lightrag - INFO - get_edge:query: - MATCH (start:`SCROOGE`)-[r]->(end:`THE PHANTOM VOICES`) - RETURN properties(r) as edge_properties - LIMIT 1 - :result:{'keywords': '"regret, lost opportunities"', 'weight': 6.0, 'description': '"Scrooge hears the lamentations of The Phantom Voices, reflecting his connection to the spirits of the lost and the consequences of his life choices."', 'source_id': 'chunk-cb661c37436355ccec2769b1d0350c5f'} -2024-10-30 06:46:47,501 - lightrag - INFO - _check_node_exists:query:MATCH (n:`SCROOGE`) RETURN count(n) > 0 AS node_exists:result:True -2024-10-30 06:46:47,667 - lightrag - INFO - _check_node_exists:query:MATCH (n:`THE PHANTOM VOICES`) RETURN count(n) > 0 AS node_exists:result:True -2024-10-30 06:46:47,845 - lightrag - INFO - _do_upsert_edge:query: - MATCH (source:`SCROOGE`) - WITH source - MATCH (target:`THE PHANTOM VOICES`) - MERGE (source)-[r:DIRECTED]->(target) - SET r += $properties - RETURN r - :result:None -2024-10-30 06:46:48,022 - lightrag - INFO - _check_edge_existence:query:MATCH (a:`SCROOGE`)-[r]-(b:`THE WINDOW`) RETURN COUNT(r) > 0 AS edgeExists:result:True -2024-10-30 06:46:48,157 - lightrag - INFO - get_edge:query: - MATCH (start:`SCROOGE`)-[r]->(end:`THE WINDOW`) - RETURN properties(r) as edge_properties - LIMIT 1 - :result:{'keywords': '"curiosity, fear"', 'weight': 5.0, 'description': '"Scrooge approaches The Window, which acts as a portal to the outside world and the supernatural, illustrating his curiosity and fear."', 'source_id': 'chunk-cb661c37436355ccec2769b1d0350c5f'} -2024-10-30 06:46:48,279 - lightrag - INFO - _check_node_exists:query:MATCH (n:`SCROOGE`) RETURN count(n) > 0 AS node_exists:result:True -2024-10-30 06:46:48,446 - lightrag - INFO - _check_node_exists:query:MATCH (n:`THE WINDOW`) RETURN count(n) > 0 AS node_exists:result:True -2024-10-30 06:46:48,624 - lightrag - INFO - _do_upsert_edge:query: - MATCH (source:`SCROOGE`) - WITH source - MATCH (target:`THE WINDOW`) - MERGE (source)-[r:DIRECTED]->(target) - SET r += $properties - RETURN r - :result:None -2024-10-30 06:46:48,802 - lightrag - INFO - _check_edge_existence:query:MATCH (a:`MARLEY'S GHOST`)-[r]-(b:`THE CHAIN`) RETURN COUNT(r) > 0 AS edgeExists:result:True -2024-10-30 06:46:48,936 - lightrag - INFO - get_edge:query: - MATCH (start:`MARLEY'S GHOST`)-[r]->(end:`THE CHAIN`) - RETURN properties(r) as edge_properties - LIMIT 1 - :result:{'keywords': '"regret, warning"', 'weight': 9.0, 'description': '"Marley\'s Ghost is bound by The Chain, which symbolizes his regrets and serves as a warning to Scrooge about the consequences of his own actions."', 'source_id': 'chunk-cb661c37436355ccec2769b1d0350c5f'} -2024-10-30 06:46:49,066 - lightrag - INFO - _check_node_exists:query:MATCH (n:`MARLEY'S GHOST`) RETURN count(n) > 0 AS node_exists:result:True -2024-10-30 06:46:49,238 - lightrag - INFO - _check_node_exists:query:MATCH (n:`THE CHAIN`) RETURN count(n) > 0 AS node_exists:result:True -2024-10-30 06:46:49,417 - lightrag - INFO - _do_upsert_edge:query: - MATCH (source:`MARLEY'S GHOST`) - WITH source - MATCH (target:`THE CHAIN`) - MERGE (source)-[r:DIRECTED]->(target) - SET r += $properties - RETURN r - :result:None -2024-10-30 06:46:49,593 - lightrag - INFO - _check_edge_existence:query:MATCH (a:`SCROOGE`)-[r]-(b:`THE CLOCK`) RETURN COUNT(r) > 0 AS edgeExists:result:True -2024-10-30 06:46:49,724 - lightrag - INFO - get_edge:query: - MATCH (start:`SCROOGE`)-[r]->(end:`THE CLOCK`) - RETURN properties(r) as edge_properties - LIMIT 1 - :result:{'keywords': '"time distortion, confusion"', 'weight': 6.0, 'description': '"Scrooge\'s interaction with the faulty clock symbolizes his disconnection from time and reality, as he struggles to comprehend his experiences."', 'source_id': 'chunk-cb661c37436355ccec2769b1d0350c5f'} -2024-10-30 06:46:49,840 - lightrag - INFO - _check_node_exists:query:MATCH (n:`SCROOGE`) RETURN count(n) > 0 AS node_exists:result:True -2024-10-30 06:46:50,007 - lightrag - INFO - _check_node_exists:query:MATCH (n:`THE CLOCK`) RETURN count(n) > 0 AS node_exists:result:True -2024-10-30 06:46:50,186 - lightrag - INFO - _do_upsert_edge:query: - MATCH (source:`SCROOGE`) - WITH source - MATCH (target:`THE CLOCK`) - MERGE (source)-[r:DIRECTED]->(target) - SET r += $properties - RETURN r - :result:None -2024-10-30 06:46:50,361 - lightrag - INFO - _check_edge_existence:query:MATCH (a:`SCROOGE`)-[r]-(b:`THE DARKNESS`) RETURN COUNT(r) > 0 AS edgeExists:result:True -2024-10-30 06:46:50,491 - lightrag - INFO - get_edge:query: - MATCH (start:`SCROOGE`)-[r]->(end:`THE DARKNESS`) - RETURN properties(r) as edge_properties - LIMIT 1 - :result:{'keywords': '"internal struggle, unknown"', 'weight': 6.0, 'description': '"Scrooge finds himself enveloped by The Darkness, representing his internal struggle and the unknown future he faces."', 'source_id': 'chunk-cb661c37436355ccec2769b1d0350c5f'} -2024-10-30 06:46:50,607 - lightrag - INFO - _check_node_exists:query:MATCH (n:`SCROOGE`) RETURN count(n) > 0 AS node_exists:result:True -2024-10-30 06:46:50,774 - lightrag - INFO - _check_node_exists:query:MATCH (n:`THE DARKNESS`) RETURN count(n) > 0 AS node_exists:result:True -2024-10-30 06:46:50,955 - lightrag - INFO - _do_upsert_edge:query: - MATCH (source:`SCROOGE`) - WITH source - MATCH (target:`THE DARKNESS`) - MERGE (source)-[r:DIRECTED]->(target) - SET r += $properties - RETURN r - :result:None -2024-10-30 06:46:51,133 - lightrag - INFO - _check_edge_existence:query:MATCH (a:`CLOCK`)-[r]-(b:`SCROOGE`) RETURN COUNT(r) > 0 AS edgeExists:result:True -2024-10-30 06:46:51,267 - lightrag - INFO - get_edge:query: - MATCH (start:`CLOCK`)-[r]->(end:`SCROOGE`) - RETURN properties(r) as edge_properties - LIMIT 1 - :result:{'keywords': '"time symbolism, anxiety"', 'weight': 7.0, 'description': '"Scrooge\'s observations of the Clock reflect his anxiety over time and the supernatural events unfolding around him."', 'source_id': 'chunk-c7b10789a9cb0af6c553730b29bd9034'} -2024-10-30 06:46:51,396 - lightrag - INFO - _check_node_exists:query:MATCH (n:`CLOCK`) RETURN count(n) > 0 AS node_exists:result:True -2024-10-30 06:46:51,555 - lightrag - INFO - _check_node_exists:query:MATCH (n:`SCROOGE`) RETURN count(n) > 0 AS node_exists:result:True -2024-10-30 06:46:51,737 - lightrag - INFO - _do_upsert_edge:query: - MATCH (source:`CLOCK`) - WITH source - MATCH (target:`SCROOGE`) - MERGE (source)-[r:DIRECTED]->(target) - SET r += $properties - RETURN r - :result:None -2024-10-30 06:46:51,919 - lightrag - INFO - _check_edge_existence:query:MATCH (a:`SCROOGE`)-[r]-(b:`SPIRIT`) RETURN COUNT(r) > 0 AS edgeExists:result:True -2024-10-30 06:46:52,063 - lightrag - INFO - get_edge:query: - MATCH (start:`SCROOGE`)-[r]->(end:`SPIRIT`) - RETURN properties(r) as edge_properties - LIMIT 1 - :result:{'keywords': '"guidance, emotional journey""guidance, transformation""personal growth, spiritual journey""reflection, guidance"', 'weight': 34.0, 'description': '"Scrooge engages with the Spirit, who guides him through reflections on his life and warns him of societal issues.""Scrooge learns from the Spirit about the consequences of his actions and the sentiments evoked by death, leading to personal growth.""Scrooge’s interaction with the Spirit emphasizes the emotional weight of his past decisions and feelings as they relate to his transformation.""The Spirit directly influences Scrooge’s transformation and highlights the importance of compassion in human life."', 'source_id': 'chunk-02baee20cc9463dbe08170a8e1043e32chunk-bb21d58d36c6306fd8810ddd51c4a971chunk-83ac129dc9b56f84c46760d153d68e93chunk-e7637ff18c5ded77a68cce0a87883fad'} -2024-10-30 06:46:52,186 - lightrag - INFO - _check_node_exists:query:MATCH (n:`SCROOGE`) RETURN count(n) > 0 AS node_exists:result:True -2024-10-30 06:46:52,348 - lightrag - INFO - _check_node_exists:query:MATCH (n:`SPIRIT`) RETURN count(n) > 0 AS node_exists:result:True -2024-10-30 06:46:52,527 - lightrag - INFO - _do_upsert_edge:query: - MATCH (source:`SCROOGE`) - WITH source - MATCH (target:`SPIRIT`) - MERGE (source)-[r:DIRECTED]->(target) - SET r += $properties - RETURN r - :result:None -2024-10-30 06:46:52,706 - lightrag - INFO - _check_edge_existence:query:MATCH (a:`GHOST OF CHRISTMAS PAST`)-[r]-(b:`WINTER DAY`) RETURN COUNT(r) > 0 AS edgeExists:result:True -2024-10-30 06:46:52,841 - lightrag - INFO - get_edge:query: - MATCH (start:`GHOST OF CHRISTMAS PAST`)-[r]->(end:`WINTER DAY`) - RETURN properties(r) as edge_properties - LIMIT 1 - :result:{'keywords': '"nostalgia, memory"', 'weight': 9.0, 'description': '"The Ghost leads Scrooge to experience a winter day from his memories, emphasizing feelings of nostalgia and longing."', 'source_id': 'chunk-bb21d58d36c6306fd8810ddd51c4a971'} -2024-10-30 06:46:52,973 - lightrag - INFO - _check_node_exists:query:MATCH (n:`GHOST OF CHRISTMAS PAST`) RETURN count(n) > 0 AS node_exists:result:True -2024-10-30 06:46:53,138 - lightrag - INFO - _check_node_exists:query:MATCH (n:`WINTER DAY`) RETURN count(n) > 0 AS node_exists:result:True -2024-10-30 06:46:53,316 - lightrag - INFO - _do_upsert_edge:query: - MATCH (source:`GHOST OF CHRISTMAS PAST`) - WITH source - MATCH (target:`WINTER DAY`) - MERGE (source)-[r:DIRECTED]->(target) - SET r += $properties - RETURN r - :result:None -2024-10-30 06:46:53,498 - lightrag - INFO - _check_edge_existence:query:MATCH (a:`MARKET-TOWN`)-[r]-(b:`SCROOGE`) RETURN COUNT(r) > 0 AS edgeExists:result:True -2024-10-30 06:46:53,631 - lightrag - INFO - get_edge:query: - MATCH (start:`MARKET-TOWN`)-[r]->(end:`SCROOGE`) - RETURN properties(r) as edge_properties - LIMIT 1 - :result:{'keywords': '"nostalgia, memory"', 'weight': 7.0, 'description': '"Scrooge recognizes the Market-Town, eliciting fond memories from his childhood and emphasizing his emotional response to the past."', 'source_id': 'chunk-bb21d58d36c6306fd8810ddd51c4a971'} -2024-10-30 06:46:53,761 - lightrag - INFO - _check_node_exists:query:MATCH (n:`MARKET-TOWN`) RETURN count(n) > 0 AS node_exists:result:True -2024-10-30 06:46:53,921 - lightrag - INFO - _check_node_exists:query:MATCH (n:`SCROOGE`) RETURN count(n) > 0 AS node_exists:result:True -2024-10-30 06:46:54,101 - lightrag - INFO - _do_upsert_edge:query: - MATCH (source:`MARKET-TOWN`) - WITH source - MATCH (target:`SCROOGE`) - MERGE (source)-[r:DIRECTED]->(target) - SET r += $properties - RETURN r - :result:None -2024-10-30 06:46:54,275 - lightrag - INFO - _check_edge_existence:query:MATCH (a:`BOYS`)-[r]-(b:`SCROOGE`) RETURN COUNT(r) > 0 AS edgeExists:result:True -2024-10-30 06:46:54,415 - lightrag - INFO - get_edge:query: - MATCH (start:`BOYS`)-[r]->(end:`SCROOGE`) - RETURN properties(r) as edge_properties - LIMIT 1 - :result:{'keywords': '"joy, childhood memories"', 'weight': 7.0, 'description': '"Scrooge feels joy upon seeing the boys, evoking memories of childhood experiences and emotions associated with them."', 'source_id': 'chunk-bb21d58d36c6306fd8810ddd51c4a971'} -2024-10-30 06:46:54,548 - lightrag - INFO - _check_node_exists:query:MATCH (n:`BOYS`) RETURN count(n) > 0 AS node_exists:result:True -2024-10-30 06:46:54,704 - lightrag - INFO - _check_node_exists:query:MATCH (n:`SCROOGE`) RETURN count(n) > 0 AS node_exists:result:True -2024-10-30 06:46:54,887 - lightrag - INFO - _do_upsert_edge:query: - MATCH (source:`BOYS`) - WITH source - MATCH (target:`SCROOGE`) - MERGE (source)-[r:DIRECTED]->(target) - SET r += $properties - RETURN r - :result:None -2024-10-30 06:46:55,065 - lightrag - INFO - _check_edge_existence:query:MATCH (a:`BOYS`)-[r]-(b:`SHAGGY PONIES`) RETURN COUNT(r) > 0 AS edgeExists:result:True -2024-10-30 06:46:55,201 - lightrag - INFO - get_edge:query: - MATCH (start:`BOYS`)-[r]->(end:`SHAGGY PONIES`) - RETURN properties(r) as edge_properties - LIMIT 1 - :result:{'keywords': '"playfulness, childhood"', 'weight': 6.0, 'description': '"The boys interact with the shaggy ponies, highlighting the carefree and playful nature of youth in Scrooge\'s memories."', 'source_id': 'chunk-bb21d58d36c6306fd8810ddd51c4a971'} -2024-10-30 06:46:55,332 - lightrag - INFO - _check_node_exists:query:MATCH (n:`BOYS`) RETURN count(n) > 0 AS node_exists:result:True -2024-10-30 06:46:55,496 - lightrag - INFO - _check_node_exists:query:MATCH (n:`SHAGGY PONIES`) RETURN count(n) > 0 AS node_exists:result:True -2024-10-30 06:46:55,672 - lightrag - INFO - _do_upsert_edge:query: - MATCH (source:`BOYS`) - WITH source - MATCH (target:`SHAGGY PONIES`) - MERGE (source)-[r:DIRECTED]->(target) - SET r += $properties - RETURN r - :result:None -2024-10-30 06:46:55,851 - lightrag - INFO - _check_edge_existence:query:MATCH (a:`BRIDGE`)-[r]-(b:`SCROOGE`) RETURN COUNT(r) > 0 AS edgeExists:result:True -2024-10-30 06:46:55,983 - lightrag - INFO - get_edge:query: - MATCH (start:`BRIDGE`)-[r]->(end:`SCROOGE`) - RETURN properties(r) as edge_properties - LIMIT 1 - :result:{'keywords': '"memory, landmark"', 'weight': 7.0, 'description': '"The bridge serves as a significant landmark in Scrooge\'s past, reminding him of his childhood and former happiness."', 'source_id': 'chunk-bb21d58d36c6306fd8810ddd51c4a971'} -2024-10-30 06:46:56,112 - lightrag - INFO - _check_node_exists:query:MATCH (n:`BRIDGE`) RETURN count(n) > 0 AS node_exists:result:True -2024-10-30 06:46:56,275 - lightrag - INFO - _check_node_exists:query:MATCH (n:`SCROOGE`) RETURN count(n) > 0 AS node_exists:result:True -2024-10-30 06:46:56,456 - lightrag - INFO - _do_upsert_edge:query: - MATCH (source:`BRIDGE`) - WITH source - MATCH (target:`SCROOGE`) - MERGE (source)-[r:DIRECTED]->(target) - SET r += $properties - RETURN r - :result:None -2024-10-30 06:46:56,634 - lightrag - INFO - _check_edge_existence:query:MATCH (a:`CHURCH`)-[r]-(b:`SCROOGE`) RETURN COUNT(r) > 0 AS edgeExists:result:True -2024-10-30 06:46:56,764 - lightrag - INFO - get_edge:query: - MATCH (start:`CHURCH`)-[r]->(end:`SCROOGE`) - RETURN properties(r) as edge_properties - LIMIT 1 - :result:{'keywords': '"community, contrast"', 'weight': 8.0, 'description': '"The church symbolizes the community and settings of Scrooge\'s past, highlighting the contrast between then and now."', 'source_id': 'chunk-bb21d58d36c6306fd8810ddd51c4a971'} -2024-10-30 06:46:56,897 - lightrag - INFO - _check_node_exists:query:MATCH (n:`CHURCH`) RETURN count(n) > 0 AS node_exists:result:True -2024-10-30 06:46:57,051 - lightrag - INFO - _check_node_exists:query:MATCH (n:`SCROOGE`) RETURN count(n) > 0 AS node_exists:result:True -2024-10-30 06:46:57,230 - lightrag - INFO - _do_upsert_edge:query: - MATCH (source:`CHURCH`) - WITH source - MATCH (target:`SCROOGE`) - MERGE (source)-[r:DIRECTED]->(target) - SET r += $properties - RETURN r - :result:None -2024-10-30 06:46:57,409 - lightrag - INFO - _check_edge_existence:query:MATCH (a:`SCROOGE`)-[r]-(b:`WINDING RIVER`) RETURN COUNT(r) > 0 AS edgeExists:result:True -2024-10-30 06:46:57,538 - lightrag - INFO - get_edge:query: - MATCH (start:`SCROOGE`)-[r]->(end:`WINDING RIVER`) - RETURN properties(r) as edge_properties - LIMIT 1 - :result:{'keywords': '"nostalgia, memory"', 'weight': 8.0, 'description': '"The winding river evokes memories and emotions for Scrooge, connecting him to his past experiences and places."', 'source_id': 'chunk-bb21d58d36c6306fd8810ddd51c4a971'} -2024-10-30 06:46:57,655 - lightrag - INFO - _check_node_exists:query:MATCH (n:`SCROOGE`) RETURN count(n) > 0 AS node_exists:result:True -2024-10-30 06:46:57,819 - lightrag - INFO - _check_node_exists:query:MATCH (n:`WINDING RIVER`) RETURN count(n) > 0 AS node_exists:result:True -2024-10-30 06:46:58,004 - lightrag - INFO - _do_upsert_edge:query: - MATCH (source:`SCROOGE`) - WITH source - MATCH (target:`WINDING RIVER`) - MERGE (source)-[r:DIRECTED]->(target) - SET r += $properties - RETURN r - :result:None -2024-10-30 06:46:58,184 - lightrag - INFO - _check_edge_existence:query:MATCH (a:`GHOST OF CHRISTMAS PAST`)-[r]-(b:`SCROOGE'S MEMORIES`) RETURN COUNT(r) > 0 AS edgeExists:result:True -2024-10-30 06:46:58,314 - lightrag - INFO - get_edge:query: - MATCH (start:`GHOST OF CHRISTMAS PAST`)-[r]->(end:`SCROOGE'S MEMORIES`) - RETURN properties(r) as edge_properties - LIMIT 1 - :result:{'keywords': '"memory, confrontation"', 'weight': 9.0, 'description': '"The Ghost facilitates Scrooge\'s recollection of his memories, allowing him to confront his past choices."', 'source_id': 'chunk-bb21d58d36c6306fd8810ddd51c4a971'} -2024-10-30 06:46:58,441 - lightrag - INFO - _check_node_exists:query:MATCH (n:`GHOST OF CHRISTMAS PAST`) RETURN count(n) > 0 AS node_exists:result:True -2024-10-30 06:46:58,603 - lightrag - INFO - _check_node_exists:query:MATCH (n:`SCROOGE'S MEMORIES`) RETURN count(n) > 0 AS node_exists:result:True -2024-10-30 06:46:58,775 - lightrag - INFO - _do_upsert_edge:query: - MATCH (source:`GHOST OF CHRISTMAS PAST`) - WITH source - MATCH (target:`SCROOGE'S MEMORIES`) - MERGE (source)-[r:DIRECTED]->(target) - SET r += $properties - RETURN r - :result:None -2024-10-30 06:46:58,959 - lightrag - INFO - _check_edge_existence:query:MATCH (a:`SCROOGE`)-[r]-(b:`THE SPIRIT`) RETURN COUNT(r) > 0 AS edgeExists:result:True -2024-10-30 06:46:59,090 - lightrag - INFO - get_edge:query: - MATCH (start:`SCROOGE`)-[r]->(end:`THE SPIRIT`) - RETURN properties(r) as edge_properties - LIMIT 1 - :result:{'keywords': '"guidance, transformation""moral guidance, transformation""self-reflection, transformation""supernatural guidance, self-reflection""supernatural intervention, guidance"', 'weight': 47.0, 'description': '"Scrooge engages with the Spirit as it reveals memories that prompt significant self-reflection and consideration of change.""Scrooge is guided by the Spirit, who shows him different scenes related to the joy and struggles of Christmas, aiming to change his heart.""The Spirit challenges Scrooge\'s perspective on life, urging him to consider the implications of his actions in light of death.""The Spirit represents an upcoming change in Scrooge\'s life, aiming to guide him towards redemption.""The Spirit represents moral lessons and urges Scrooge to change his ways for a better future."', 'source_id': 'chunk-b2f98bc7abb0c67d4c86055c7fd72218chunk-e1f29eeadc1d8ab46dc8a0bbd3c56b64chunk-91572b3cd42786ba4cb2f180ca25cbf4chunk-da2472b4ef2a535b62908f14d0fb0ca9chunk-91614df5cb74cbe5e109a338a82041e9'} -2024-10-30 06:46:59,209 - lightrag - INFO - _check_node_exists:query:MATCH (n:`SCROOGE`) RETURN count(n) > 0 AS node_exists:result:True -2024-10-30 06:46:59,382 - lightrag - INFO - _check_node_exists:query:MATCH (n:`THE SPIRIT`) RETURN count(n) > 0 AS node_exists:result:True -2024-10-30 06:46:59,557 - lightrag - INFO - _do_upsert_edge:query: - MATCH (source:`SCROOGE`) - WITH source - MATCH (target:`THE SPIRIT`) - MERGE (source)-[r:DIRECTED]->(target) - SET r += $properties - RETURN r - :result:None -2024-10-30 06:46:59,736 - lightrag - INFO - _check_edge_existence:query:MATCH (a:`ALI BABA`)-[r]-(b:`SCROOGE`) RETURN COUNT(r) > 0 AS edgeExists:result:True -2024-10-30 06:46:59,869 - lightrag - INFO - get_edge:query: - MATCH (start:`ALI BABA`)-[r]->(end:`SCROOGE`) - RETURN properties(r) as edge_properties - LIMIT 1 - :result:{'keywords': '"nostalgia, childhood stories"', 'weight': 8.0, 'description': '"Scrooge recalls Ali Baba while reflecting on memories of Christmas, indicating a strong personal connection to the story and its impact on him."', 'source_id': 'chunk-8590d9263cd2cd4fa583c432fc54e6c3'} -2024-10-30 06:47:00,000 - lightrag - INFO - _check_node_exists:query:MATCH (n:`ALI BABA`) RETURN count(n) > 0 AS node_exists:result:True -2024-10-30 06:47:00,155 - lightrag - INFO - _check_node_exists:query:MATCH (n:`SCROOGE`) RETURN count(n) > 0 AS node_exists:result:True -2024-10-30 06:47:00,334 - lightrag - INFO - _do_upsert_edge:query: - MATCH (source:`ALI BABA`) - WITH source - MATCH (target:`SCROOGE`) - MERGE (source)-[r:DIRECTED]->(target) - SET r += $properties - RETURN r - :result:None -2024-10-30 06:47:00,511 - lightrag - INFO - _check_edge_existence:query:MATCH (a:`SCROOGE`)-[r]-(b:`VALENTINE`) RETURN COUNT(r) > 0 AS edgeExists:result:True -2024-10-30 06:47:00,639 - lightrag - INFO - get_edge:query: - MATCH (start:`SCROOGE`)-[r]->(end:`VALENTINE`) - RETURN properties(r) as edge_properties - LIMIT 1 - :result:{'keywords': '"family memories, nostalgia"', 'weight': 6.0, 'description': '"Scrooge\'s mention of Valentine signifies his memories of familial ties and childhood experiences during Christmas."', 'source_id': 'chunk-8590d9263cd2cd4fa583c432fc54e6c3'} -2024-10-30 06:47:00,756 - lightrag - INFO - _check_node_exists:query:MATCH (n:`SCROOGE`) RETURN count(n) > 0 AS node_exists:result:True -2024-10-30 06:47:00,921 - lightrag - INFO - _check_node_exists:query:MATCH (n:`VALENTINE`) RETURN count(n) > 0 AS node_exists:result:True -2024-10-30 06:47:01,101 - lightrag - INFO - _do_upsert_edge:query: - MATCH (source:`SCROOGE`) - WITH source - MATCH (target:`VALENTINE`) - MERGE (source)-[r:DIRECTED]->(target) - SET r += $properties - RETURN r - :result:None -2024-10-30 06:47:01,279 - lightrag - INFO - _check_edge_existence:query:MATCH (a:`ORSON`)-[r]-(b:`VALENTINE`) RETURN COUNT(r) > 0 AS edgeExists:result:True -2024-10-30 06:47:01,416 - lightrag - INFO - get_edge:query: - MATCH (start:`ORSON`)-[r]->(end:`VALENTINE`) - RETURN properties(r) as edge_properties - LIMIT 1 - :result:{'keywords': '"family, nostalgia"', 'weight': 8.0, 'description': '"Orson and Valentine are brothers in the stories remembered by Scrooge, representing familial bonds in his past."', 'source_id': 'chunk-8590d9263cd2cd4fa583c432fc54e6c3'} -2024-10-30 06:47:01,543 - lightrag - INFO - _check_node_exists:query:MATCH (n:`ORSON`) RETURN count(n) > 0 AS node_exists:result:True -2024-10-30 06:47:01,713 - lightrag - INFO - _check_node_exists:query:MATCH (n:`VALENTINE`) RETURN count(n) > 0 AS node_exists:result:True -2024-10-30 06:47:01,888 - lightrag - INFO - _do_upsert_edge:query: - MATCH (source:`ORSON`) - WITH source - MATCH (target:`VALENTINE`) - MERGE (source)-[r:DIRECTED]->(target) - SET r += $properties - RETURN r - :result:None -2024-10-30 06:47:02,068 - lightrag - INFO - _check_edge_existence:query:MATCH (a:`CHILD`)-[r]-(b:`SCROOGE`) RETURN COUNT(r) > 0 AS edgeExists:result:True -2024-10-30 06:47:02,207 - lightrag - INFO - get_edge:query: - MATCH (start:`CHILD`)-[r]->(end:`SCROOGE`) - RETURN properties(r) as edge_properties - LIMIT 1 - :result:{'keywords': '"self-reflection, past connection"', 'weight': 8.0, 'description': '"Scrooge sees his younger self in the solitary child, sparking deep emotional reflections about his past and choices."', 'source_id': 'chunk-8590d9263cd2cd4fa583c432fc54e6c3'} -2024-10-30 06:47:02,338 - lightrag - INFO - _check_node_exists:query:MATCH (n:`CHILD`) RETURN count(n) > 0 AS node_exists:result:True -2024-10-30 06:47:02,499 - lightrag - INFO - _check_node_exists:query:MATCH (n:`SCROOGE`) RETURN count(n) > 0 AS node_exists:result:True -2024-10-30 06:47:02,669 - lightrag - INFO - _do_upsert_edge:query: - MATCH (source:`CHILD`) - WITH source - MATCH (target:`SCROOGE`) - MERGE (source)-[r:DIRECTED]->(target) - SET r += $properties - RETURN r - :result:None -2024-10-30 06:47:02,842 - lightrag - INFO - _check_edge_existence:query:MATCH (a:`ALI BABA`)-[r]-(b:`ROBIN CRUSOE`) RETURN COUNT(r) > 0 AS edgeExists:result:True -2024-10-30 06:47:02,973 - lightrag - INFO - get_edge:query: - MATCH (start:`ALI BABA`)-[r]->(end:`ROBIN CRUSOE`) - RETURN properties(r) as edge_properties - LIMIT 1 - :result:{'keywords': '"literary connection, childhood memories"', 'weight': 7.0, 'description': '"Both Ali Baba and Robin Crusoe represent figures from stories that shaped Scrooge\'s childhood memories and sentiments towards Christmas."', 'source_id': 'chunk-8590d9263cd2cd4fa583c432fc54e6c3'} -2024-10-30 06:47:03,103 - lightrag - INFO - _check_node_exists:query:MATCH (n:`ALI BABA`) RETURN count(n) > 0 AS node_exists:result:True -2024-10-30 06:47:03,274 - lightrag - INFO - _check_node_exists:query:MATCH (n:`ROBIN CRUSOE`) RETURN count(n) > 0 AS node_exists:result:True -2024-10-30 06:47:03,452 - lightrag - INFO - _do_upsert_edge:query: - MATCH (source:`ALI BABA`) - WITH source - MATCH (target:`ROBIN CRUSOE`) - MERGE (source)-[r:DIRECTED]->(target) - SET r += $properties - RETURN r - :result:None -2024-10-30 06:47:03,626 - lightrag - INFO - _check_edge_existence:query:MATCH (a:`MANSION`)-[r]-(b:`SCROOGE`) RETURN COUNT(r) > 0 AS edgeExists:result:True -2024-10-30 06:47:03,758 - lightrag - INFO - get_edge:query: - MATCH (start:`MANSION`)-[r]->(end:`SCROOGE`) - RETURN properties(r) as edge_properties - LIMIT 1 - :result:{'keywords': '"symbolism, emotional state"', 'weight': 8.0, 'description': '"The Mansion symbolizes the neglect and decay that parallels Scrooge\'s own emotional state and memories of his past."', 'source_id': 'chunk-8590d9263cd2cd4fa583c432fc54e6c3'} -2024-10-30 06:47:03,885 - lightrag - INFO - _check_node_exists:query:MATCH (n:`MANSION`) RETURN count(n) > 0 AS node_exists:result:True -2024-10-30 06:47:04,047 - lightrag - INFO - _check_node_exists:query:MATCH (n:`SCROOGE`) RETURN count(n) > 0 AS node_exists:result:True -2024-10-30 06:47:04,228 - lightrag - INFO - _do_upsert_edge:query: - MATCH (source:`MANSION`) - WITH source - MATCH (target:`SCROOGE`) - MERGE (source)-[r:DIRECTED]->(target) - SET r += $properties - RETURN r - :result:None -2024-10-30 06:47:04,404 - lightrag - INFO - _check_edge_existence:query:MATCH (a:`MANSION`)-[r]-(b:`THE GHOST`) RETURN COUNT(r) > 0 AS edgeExists:result:True -2024-10-30 06:47:04,538 - lightrag - INFO - get_edge:query: - MATCH (start:`MANSION`)-[r]->(end:`THE GHOST`) - RETURN properties(r) as edge_properties - LIMIT 1 - :result:{'keywords': '"guidance, contrast"', 'weight': 9.0, 'description': '"The Ghost guides Scrooge through the Mansion, illustrating the contrast between past warmth and present decay."', 'source_id': 'chunk-8590d9263cd2cd4fa583c432fc54e6c3'} -2024-10-30 06:47:04,681 - lightrag - INFO - _check_node_exists:query:MATCH (n:`MANSION`) RETURN count(n) > 0 AS node_exists:result:True -2024-10-30 06:47:04,883 - lightrag - INFO - _check_node_exists:query:MATCH (n:`THE GHOST`) RETURN count(n) > 0 AS node_exists:result:True -2024-10-30 06:47:05,065 - lightrag - INFO - _do_upsert_edge:query: - MATCH (source:`MANSION`) - WITH source - MATCH (target:`THE GHOST`) - MERGE (source)-[r:DIRECTED]->(target) - SET r += $properties - RETURN r - :result:None -2024-10-30 06:47:05,243 - lightrag - INFO - _check_edge_existence:query:MATCH (a:`FRIDAY`)-[r]-(b:`ROBIN CRUSOE`) RETURN COUNT(r) > 0 AS edgeExists:result:True -2024-10-30 06:47:05,380 - lightrag - INFO - get_edge:query: - MATCH (start:`FRIDAY`)-[r]->(end:`ROBIN CRUSOE`) - RETURN properties(r) as edge_properties - LIMIT 1 - :result:{'keywords': '"friendship, adventure"', 'weight': 7.0, 'description': '"Friday serves alongside Robin Crusoe in the stories remembered by Scrooge, representing loyalty and friendship in adventure."', 'source_id': 'chunk-8590d9263cd2cd4fa583c432fc54e6c3'} -2024-10-30 06:47:05,513 - lightrag - INFO - _check_node_exists:query:MATCH (n:`FRIDAY`) RETURN count(n) > 0 AS node_exists:result:True -2024-10-30 06:47:05,680 - lightrag - INFO - _check_node_exists:query:MATCH (n:`ROBIN CRUSOE`) RETURN count(n) > 0 AS node_exists:result:True -2024-10-30 06:47:05,857 - lightrag - INFO - _do_upsert_edge:query: - MATCH (source:`FRIDAY`) - WITH source - MATCH (target:`ROBIN CRUSOE`) - MERGE (source)-[r:DIRECTED]->(target) - SET r += $properties - RETURN r - :result:None -2024-10-30 06:47:06,036 - lightrag - INFO - _check_edge_existence:query:MATCH (a:`SCROOGE`)-[r]-(b:`THE PARROT`) RETURN COUNT(r) > 0 AS edgeExists:result:True -2024-10-30 06:47:06,168 - lightrag - INFO - get_edge:query: - MATCH (start:`SCROOGE`)-[r]->(end:`THE PARROT`) - RETURN properties(r) as edge_properties - LIMIT 1 - :result:{'keywords': '"nostalgia, whimsy"', 'weight': 6.0, 'description': '"Scrooge recalls the Parrot associated with his memories of Robin Crusoe, highlighting the whimsical and nostalgic aspects of his reflections."', 'source_id': 'chunk-8590d9263cd2cd4fa583c432fc54e6c3'} -2024-10-30 06:47:06,289 - lightrag - INFO - _check_node_exists:query:MATCH (n:`SCROOGE`) RETURN count(n) > 0 AS node_exists:result:True -2024-10-30 06:47:06,463 - lightrag - INFO - _check_node_exists:query:MATCH (n:`THE PARROT`) RETURN count(n) > 0 AS node_exists:result:True -2024-10-30 06:47:06,641 - lightrag - INFO - _do_upsert_edge:query: - MATCH (source:`SCROOGE`) - WITH source - MATCH (target:`THE PARROT`) - MERGE (source)-[r:DIRECTED]->(target) - SET r += $properties - RETURN r - :result:None -2024-10-30 06:47:06,821 - lightrag - INFO - _check_edge_existence:query:MATCH (a:`CHILD`)-[r]-(b:`THE SPIRIT`) RETURN COUNT(r) > 0 AS edgeExists:result:True -2024-10-30 06:47:06,950 - lightrag - INFO - get_edge:query: - MATCH (start:`CHILD`)-[r]->(end:`THE SPIRIT`) - RETURN properties(r) as edge_properties - LIMIT 1 - :result:{'keywords': '"remembrance, neglect"', 'weight': 8.0, 'description': '"The Spirit points Scrooge to the Child, emphasizing themes of neglect, remembrance, and the importance of past experiences."', 'source_id': 'chunk-8590d9263cd2cd4fa583c432fc54e6c3'} -2024-10-30 06:47:07,080 - lightrag - INFO - _check_node_exists:query:MATCH (n:`CHILD`) RETURN count(n) > 0 AS node_exists:result:True -2024-10-30 06:47:07,281 - lightrag - INFO - _check_node_exists:query:MATCH (n:`THE SPIRIT`) RETURN count(n) > 0 AS node_exists:result:True -2024-10-30 06:47:07,465 - lightrag - INFO - _do_upsert_edge:query: - MATCH (source:`CHILD`) - WITH source - MATCH (target:`THE SPIRIT`) - MERGE (source)-[r:DIRECTED]->(target) - SET r += $properties - RETURN r - :result:None -2024-10-30 06:47:07,639 - lightrag - INFO - _check_edge_existence:query:MATCH (a:`DICK WILKINS`)-[r]-(b:`FEZZIWIG`) RETURN COUNT(r) > 0 AS edgeExists:result:True -2024-10-30 06:47:07,773 - lightrag - INFO - get_edge:query: - MATCH (start:`DICK WILKINS`)-[r]->(end:`FEZZIWIG`) - RETURN properties(r) as edge_properties - LIMIT 1 - :result:{'keywords': '"apprenticeship, camaraderie"', 'weight': 7.0, 'description': '"Fezziwig and Dick Wilkins are connected through their roles in Scrooge\'s past, representing camaraderie and joyful experiences at work."', 'source_id': 'chunk-c6c248858d1b13ab7ee9ca13c1aeed6b'} -2024-10-30 06:47:07,905 - lightrag - INFO - _check_node_exists:query:MATCH (n:`DICK WILKINS`) RETURN count(n) > 0 AS node_exists:result:True -2024-10-30 06:47:08,070 - lightrag - INFO - _check_node_exists:query:MATCH (n:`FEZZIWIG`) RETURN count(n) > 0 AS node_exists:result:True -2024-10-30 06:47:08,254 - lightrag - INFO - _do_upsert_edge:query: - MATCH (source:`DICK WILKINS`) - WITH source - MATCH (target:`FEZZIWIG`) - MERGE (source)-[r:DIRECTED]->(target) - SET r += $properties - RETURN r - :result:None -2024-10-30 06:47:08,435 - lightrag - INFO - _check_edge_existence:query:MATCH (a:`DICK WILKINS`)-[r]-(b:`SCROOGE`) RETURN COUNT(r) > 0 AS edgeExists:result:True -2024-10-30 06:47:08,566 - lightrag - INFO - get_edge:query: - MATCH (start:`DICK WILKINS`)-[r]->(end:`SCROOGE`) - RETURN properties(r) as edge_properties - LIMIT 1 - :result:{'keywords': '"friendship, apprenticeship"', 'weight': 7.0, 'description': '"Scrooge recalls his friendship with Dick Wilkins, highlighting the connections of youth and support during their apprenticeship."', 'source_id': 'chunk-c6c248858d1b13ab7ee9ca13c1aeed6b'} -2024-10-30 06:47:08,695 - lightrag - INFO - _check_node_exists:query:MATCH (n:`DICK WILKINS`) RETURN count(n) > 0 AS node_exists:result:True -2024-10-30 06:47:08,847 - lightrag - INFO - _check_node_exists:query:MATCH (n:`SCROOGE`) RETURN count(n) > 0 AS node_exists:result:True -2024-10-30 06:47:09,024 - lightrag - INFO - _do_upsert_edge:query: - MATCH (source:`DICK WILKINS`) - WITH source - MATCH (target:`SCROOGE`) - MERGE (source)-[r:DIRECTED]->(target) - SET r += $properties - RETURN r - :result:None -2024-10-30 06:47:09,202 - lightrag - INFO - _check_edge_existence:query:MATCH (a:`CHRISTMAS-TIME`)-[r]-(b:`SCROOGE`) RETURN COUNT(r) > 0 AS edgeExists:result:True -2024-10-30 06:47:09,338 - lightrag - INFO - get_edge:query: - MATCH (start:`CHRISTMAS-TIME`)-[r]->(end:`SCROOGE`) - RETURN properties(r) as edge_properties - LIMIT 1 - :result:{'keywords': '"cynicism, holiday spirit conflict"', 'weight': 9.0, 'description': '"Scrooge views Christmas-time as a burden rather than a celebration, contrasting with the feelings of others around him."', 'source_id': 'chunk-5dac41b3f9eeaf794f0147400b1718cd'} -2024-10-30 06:47:09,473 - lightrag - INFO - _check_node_exists:query:MATCH (n:`CHRISTMAS-TIME`) RETURN count(n) > 0 AS node_exists:result:True -2024-10-30 06:47:09,629 - lightrag - INFO - _check_node_exists:query:MATCH (n:`SCROOGE`) RETURN count(n) > 0 AS node_exists:result:True -2024-10-30 06:47:09,807 - lightrag - INFO - _do_upsert_edge:query: - MATCH (source:`CHRISTMAS-TIME`) - WITH source - MATCH (target:`SCROOGE`) - MERGE (source)-[r:DIRECTED]->(target) - SET r += $properties - RETURN r - :result:None -2024-10-30 06:47:09,981 - lightrag - INFO - _check_edge_existence:query:MATCH (a:`SCROOGE`)-[r]-(b:`THE CITY`) RETURN COUNT(r) > 0 AS edgeExists:result:True -2024-10-30 06:47:10,116 - lightrag - INFO - get_edge:query: - MATCH (start:`SCROOGE`)-[r]->(end:`THE CITY`) - RETURN properties(r) as edge_properties - LIMIT 1 - :result:{'keywords': '"disconnection, personal evolution""reflection, urban life"', 'weight': 10.0, 'description': '"Scrooge\'s reflections in the City highlight his relationship with his past and the contrast of his current life.""Scrooge\'s relationship with The City is marked by detachment, representing his lost connection to his past self and experiences."', 'source_id': 'chunk-bb21d58d36c6306fd8810ddd51c4a971chunk-c6c248858d1b13ab7ee9ca13c1aeed6b'} -2024-10-30 06:47:10,235 - lightrag - INFO - _check_node_exists:query:MATCH (n:`SCROOGE`) RETURN count(n) > 0 AS node_exists:result:True -2024-10-30 06:47:10,403 - lightrag - INFO - _check_node_exists:query:MATCH (n:`THE CITY`) RETURN count(n) > 0 AS node_exists:result:True -2024-10-30 06:47:10,580 - lightrag - INFO - _do_upsert_edge:query: - MATCH (source:`SCROOGE`) - WITH source - MATCH (target:`THE CITY`) - MERGE (source)-[r:DIRECTED]->(target) - SET r += $properties - RETURN r - :result:None -2024-10-30 06:47:10,755 - lightrag - INFO - _check_edge_existence:query:MATCH (a:`DICK WILKINS`)-[r]-(b:`EBENEZER SCROOGE`) RETURN COUNT(r) > 0 AS edgeExists:result:True -2024-10-30 06:47:10,886 - lightrag - INFO - get_edge:query: - MATCH (start:`DICK WILKINS`)-[r]->(end:`EBENEZER SCROOGE`) - RETURN properties(r) as edge_properties - LIMIT 1 - :result:{'keywords': '"nostalgia, past friendship"', 'weight': 8.0, 'description': '"Scrooge remembers Dick Wilkins fondly, showing a connection from their past as apprentices together."', 'source_id': 'chunk-8bc1edd983869352d14cf0886a9175a7'} -2024-10-30 06:47:11,007 - lightrag - INFO - _check_node_exists:query:MATCH (n:`DICK WILKINS`) RETURN count(n) > 0 AS node_exists:result:True -2024-10-30 06:47:11,174 - lightrag - INFO - _check_node_exists:query:MATCH (n:`EBENEZER SCROOGE`) RETURN count(n) > 0 AS node_exists:result:True -2024-10-30 06:47:11,350 - lightrag - INFO - _do_upsert_edge:query: - MATCH (source:`DICK WILKINS`) - WITH source - MATCH (target:`EBENEZER SCROOGE`) - MERGE (source)-[r:DIRECTED]->(target) - SET r += $properties - RETURN r - :result:None -2024-10-30 06:47:11,526 - lightrag - INFO - _check_edge_existence:query:MATCH (a:`EBENEZER SCROOGE`)-[r]-(b:`FEZZIWIG`) RETURN COUNT(r) > 0 AS edgeExists:result:True -2024-10-30 06:47:11,662 - lightrag - INFO - get_edge:query: - MATCH (start:`EBENEZER SCROOGE`)-[r]->(end:`FEZZIWIG`) - RETURN properties(r) as edge_properties - LIMIT 1 - :result:{'keywords': '"mentorship, celebration""reflection, mentorship"', 'weight': 17.0, 'description': '"Fezziwig created a memorable and joyful atmosphere for Scrooge and his fellow apprentices during the celebration.""Scrooge reflects on his positive memories of Fezziwig, contributing to the theme of mentorship and joy in the past."', 'source_id': 'chunk-8bc1edd983869352d14cf0886a9175a7'} -2024-10-30 06:47:11,791 - lightrag - INFO - _check_node_exists:query:MATCH (n:`EBENEZER SCROOGE`) RETURN count(n) > 0 AS node_exists:result:True -2024-10-30 06:47:11,961 - lightrag - INFO - _check_node_exists:query:MATCH (n:`FEZZIWIG`) RETURN count(n) > 0 AS node_exists:result:True -2024-10-30 06:47:12,142 - lightrag - INFO - _do_upsert_edge:query: - MATCH (source:`EBENEZER SCROOGE`) - WITH source - MATCH (target:`FEZZIWIG`) - MERGE (source)-[r:DIRECTED]->(target) - SET r += $properties - RETURN r - :result:None -2024-10-30 06:47:12,330 - lightrag - INFO - _check_edge_existence:query:MATCH (a:`CHRISTMAS EVE`)-[r]-(b:`FEZZIWIG`) RETURN COUNT(r) > 0 AS edgeExists:result:True -2024-10-30 06:47:12,466 - lightrag - INFO - get_edge:query: - MATCH (start:`CHRISTMAS EVE`)-[r]->(end:`FEZZIWIG`) - RETURN properties(r) as edge_properties - LIMIT 1 - :result:{'keywords': '"event significance, festivity"', 'weight': 10.0, 'description': '"Fezziwig\'s celebrations take place on Christmas Eve, highlighting the special significance of this event."', 'source_id': 'chunk-8bc1edd983869352d14cf0886a9175a7'} -2024-10-30 06:47:12,599 - lightrag - INFO - _check_node_exists:query:MATCH (n:`CHRISTMAS EVE`) RETURN count(n) > 0 AS node_exists:result:True -2024-10-30 06:47:12,762 - lightrag - INFO - _check_node_exists:query:MATCH (n:`FEZZIWIG`) RETURN count(n) > 0 AS node_exists:result:True -2024-10-30 06:47:12,940 - lightrag - INFO - _do_upsert_edge:query: - MATCH (source:`CHRISTMAS EVE`) - WITH source - MATCH (target:`FEZZIWIG`) - MERGE (source)-[r:DIRECTED]->(target) - SET r += $properties - RETURN r - :result:None -2024-10-30 06:47:13,118 - lightrag - INFO - _check_edge_existence:query:MATCH (a:`FEZZIWIG`)-[r]-(b:`MRS. FEZZIWIG`) RETURN COUNT(r) > 0 AS edgeExists:result:True -2024-10-30 06:47:13,251 - lightrag - INFO - get_edge:query: - MATCH (start:`FEZZIWIG`)-[r]->(end:`MRS. FEZZIWIG`) - RETURN properties(r) as edge_properties - LIMIT 1 - :result:{'keywords': '"festivity, companionship""partnership, celebration"', 'weight': 25.0, 'description': '"Fezziwig and Mrs. Fezziwig dance together, showcasing their joyful relationship and the spirit of togetherness during Christmas.""Fezziwig and Mrs. Fezziwig work together to create a festive and welcoming environment during the domestic ball.""Mrs. Fezziwig partners with Fezziwig in the festivities, highlighting their companionship during the celebrations."', 'source_id': 'chunk-b2f98bc7abb0c67d4c86055c7fd72218chunk-89777b838d5447c7bd1ec11282c4ee89chunk-8bc1edd983869352d14cf0886a9175a7'} -2024-10-30 06:47:13,371 - lightrag - INFO - _check_node_exists:query:MATCH (n:`FEZZIWIG`) RETURN count(n) > 0 AS node_exists:result:True -2024-10-30 06:47:13,541 - lightrag - INFO - _check_node_exists:query:MATCH (n:`MRS. FEZZIWIG`) RETURN count(n) > 0 AS node_exists:result:True -2024-10-30 06:47:13,724 - lightrag - INFO - _do_upsert_edge:query: - MATCH (source:`FEZZIWIG`) - WITH source - MATCH (target:`MRS. FEZZIWIG`) - MERGE (source)-[r:DIRECTED]->(target) - SET r += $properties - RETURN r - :result:None -2024-10-30 06:47:13,901 - lightrag - INFO - _check_edge_existence:query:MATCH (a:`FEZZIWIG`)-[r]-(b:`THE DANCERS`) RETURN COUNT(r) > 0 AS edgeExists:result:True -2024-10-30 06:47:14,036 - lightrag - INFO - get_edge:query: - MATCH (start:`FEZZIWIG`)-[r]->(end:`THE DANCERS`) - RETURN properties(r) as edge_properties - LIMIT 1 - :result:{'keywords': '"celebration, community"', 'weight': 9.0, 'description': '"The Dancers participate in the lively celebrations orchestrated by Fezziwig, showcasing the joyous atmosphere of the event."', 'source_id': 'chunk-8bc1edd983869352d14cf0886a9175a7'} -2024-10-30 06:47:14,156 - lightrag - INFO - _check_node_exists:query:MATCH (n:`FEZZIWIG`) RETURN count(n) > 0 AS node_exists:result:True -2024-10-30 06:47:14,324 - lightrag - INFO - _check_node_exists:query:MATCH (n:`THE DANCERS`) RETURN count(n) > 0 AS node_exists:result:True -2024-10-30 06:47:14,501 - lightrag - INFO - _do_upsert_edge:query: - MATCH (source:`FEZZIWIG`) - WITH source - MATCH (target:`THE DANCERS`) - MERGE (source)-[r:DIRECTED]->(target) - SET r += $properties - RETURN r - :result:None -2024-10-30 06:47:14,680 - lightrag - INFO - _check_edge_existence:query:MATCH (a:`FEZZIWIG`)-[r]-(b:`THE FIDDLER`) RETURN COUNT(r) > 0 AS edgeExists:result:True -2024-10-30 06:47:14,811 - lightrag - INFO - get_edge:query: - MATCH (start:`FEZZIWIG`)-[r]->(end:`THE FIDDLER`) - RETURN properties(r) as edge_properties - LIMIT 1 - :result:{'keywords': '"musical contribution, festive atmosphere"', 'weight': 9.0, 'description': '"The Fiddler provides music for the dance, playing a crucial role in enhancing the festive atmosphere created by Fezziwig."', 'source_id': 'chunk-8bc1edd983869352d14cf0886a9175a7'} -2024-10-30 06:47:14,929 - lightrag - INFO - _check_node_exists:query:MATCH (n:`FEZZIWIG`) RETURN count(n) > 0 AS node_exists:result:True -2024-10-30 06:47:15,100 - lightrag - INFO - _check_node_exists:query:MATCH (n:`THE FIDDLER`) RETURN count(n) > 0 AS node_exists:result:True -2024-10-30 06:47:15,280 - lightrag - INFO - _do_upsert_edge:query: - MATCH (source:`FEZZIWIG`) - WITH source - MATCH (target:`THE FIDDLER`) - MERGE (source)-[r:DIRECTED]->(target) - SET r += $properties - RETURN r - :result:None -2024-10-30 06:47:15,456 - lightrag - INFO - _check_edge_existence:query:MATCH (a:`THE THREE MISS FEZZIWIGS`)-[r]-(b:`THE YOUNG FOLLOWERS`) RETURN COUNT(r) > 0 AS edgeExists:result:True -2024-10-30 06:47:15,591 - lightrag - INFO - get_edge:query: - MATCH (start:`THE THREE MISS FEZZIWIGS`)-[r]->(end:`THE YOUNG FOLLOWERS`) - RETURN properties(r) as edge_properties - LIMIT 1 - :result:{'keywords': '"community, interactions"', 'weight': 8.0, 'description': '"The Three Miss Fezziwigs interact with the Young Followers during the dance, highlighting the communal joy of the celebration."', 'source_id': 'chunk-8bc1edd983869352d14cf0886a9175a7'} -2024-10-30 06:47:15,719 - lightrag - INFO - _check_node_exists:query:MATCH (n:`THE THREE MISS FEZZIWIGS`) RETURN count(n) > 0 AS node_exists:result:True -2024-10-30 06:47:15,884 - lightrag - INFO - _check_node_exists:query:MATCH (n:`THE YOUNG FOLLOWERS`) RETURN count(n) > 0 AS node_exists:result:True -2024-10-30 06:47:16,061 - lightrag - INFO - _do_upsert_edge:query: - MATCH (source:`THE THREE MISS FEZZIWIGS`) - WITH source - MATCH (target:`THE YOUNG FOLLOWERS`) - MERGE (source)-[r:DIRECTED]->(target) - SET r += $properties - RETURN r - :result:None -2024-10-30 06:47:16,240 - lightrag - INFO - _check_edge_existence:query:MATCH (a:`THE COOK`)-[r]-(b:`THE HOUSEMAID`) RETURN COUNT(r) > 0 AS edgeExists:result:True -2024-10-30 06:47:16,371 - lightrag - INFO - get_edge:query: - MATCH (start:`THE COOK`)-[r]->(end:`THE HOUSEMAID`) - RETURN properties(r) as edge_properties - LIMIT 1 - :result:{'keywords': '"inclusion, participation"', 'weight': 7.0, 'description': '"The Housemaid and The Cook are both present at Fezziwig\'s celebration, participating in the festivities and showcasing the inclusive environment."', 'source_id': 'chunk-8bc1edd983869352d14cf0886a9175a7'} -2024-10-30 06:47:16,500 - lightrag - INFO - _check_node_exists:query:MATCH (n:`THE COOK`) RETURN count(n) > 0 AS node_exists:result:True -2024-10-30 06:47:16,670 - lightrag - INFO - _check_node_exists:query:MATCH (n:`THE HOUSEMAID`) RETURN count(n) > 0 AS node_exists:result:True -2024-10-30 06:47:16,850 - lightrag - INFO - _do_upsert_edge:query: - MATCH (source:`THE COOK`) - WITH source - MATCH (target:`THE HOUSEMAID`) - MERGE (source)-[r:DIRECTED]->(target) - SET r += $properties - RETURN r - :result:None -2024-10-30 06:47:17,024 - lightrag - INFO - _check_edge_existence:query:MATCH (a:`THE BOY FROM OVER THE WAY`)-[r]-(b:`THE GIRL FROM NEXT DOOR`) RETURN COUNT(r) > 0 AS edgeExists:result:True -2024-10-30 06:47:17,160 - lightrag - INFO - get_edge:query: - MATCH (start:`THE BOY FROM OVER THE WAY`)-[r]->(end:`THE GIRL FROM NEXT DOOR`) - RETURN properties(r) as edge_properties - LIMIT 1 - :result:{'keywords': '"youthful antics, dynamics"', 'weight': 6.0, 'description': '"The Boy\'s attempts to hide from The Girl demonstrate the youthful interactions and dynamics during the festive event."', 'source_id': 'chunk-8bc1edd983869352d14cf0886a9175a7'} -2024-10-30 06:47:17,284 - lightrag - INFO - _check_node_exists:query:MATCH (n:`THE BOY FROM OVER THE WAY`) RETURN count(n) > 0 AS node_exists:result:True -2024-10-30 06:47:17,465 - lightrag - INFO - _check_node_exists:query:MATCH (n:`THE GIRL FROM NEXT DOOR`) RETURN count(n) > 0 AS node_exists:result:True -2024-10-30 06:47:17,646 - lightrag - INFO - _do_upsert_edge:query: - MATCH (source:`THE BOY FROM OVER THE WAY`) - WITH source - MATCH (target:`THE GIRL FROM NEXT DOOR`) - MERGE (source)-[r:DIRECTED]->(target) - SET r += $properties - RETURN r - :result:None -2024-10-30 06:47:17,824 - lightrag - INFO - _check_edge_existence:query:MATCH (a:`SCROOGE`)-[r]-(b:`THE GHOST OF CHRISTMAS PAST`) RETURN COUNT(r) > 0 AS edgeExists:result:True -2024-10-30 06:47:17,956 - lightrag - INFO - get_edge:query: - MATCH (start:`SCROOGE`)-[r]->(end:`THE GHOST OF CHRISTMAS PAST`) - RETURN properties(r) as edge_properties - LIMIT 1 - :result:{'keywords': '"introspection, memory"', 'weight': 10.0, 'description': '"The Ghost of Christmas Past guides Scrooge through recollections, prompting his introspection about his former self and choices."', 'source_id': 'chunk-b2f98bc7abb0c67d4c86055c7fd72218'} -2024-10-30 06:47:18,074 - lightrag - INFO - _check_node_exists:query:MATCH (n:`SCROOGE`) RETURN count(n) > 0 AS node_exists:result:True -2024-10-30 06:47:18,251 - lightrag - INFO - _check_node_exists:query:MATCH (n:`THE GHOST OF CHRISTMAS PAST`) RETURN count(n) > 0 AS node_exists:result:True -2024-10-30 06:47:18,435 - lightrag - INFO - _do_upsert_edge:query: - MATCH (source:`SCROOGE`) - WITH source - MATCH (target:`THE GHOST OF CHRISTMAS PAST`) - MERGE (source)-[r:DIRECTED]->(target) - SET r += $properties - RETURN r - :result:None -2024-10-30 06:47:18,614 - lightrag - INFO - _check_edge_existence:query:MATCH (a:`FEZZIWIG`)-[r]-(b:`THE DOMESTIC BALL`) RETURN COUNT(r) > 0 AS edgeExists:result:True -2024-10-30 06:47:18,747 - lightrag - INFO - get_edge:query: - MATCH (start:`FEZZIWIG`)-[r]->(end:`THE DOMESTIC BALL`) - RETURN properties(r) as edge_properties - LIMIT 1 - :result:{'keywords': '"event organization, joy"', 'weight': 10.0, 'description': '"Fezziwig organizes the Domestic Ball, showcasing his ability to create joy and camaraderie among guests."', 'source_id': 'chunk-b2f98bc7abb0c67d4c86055c7fd72218'} -2024-10-30 06:47:18,863 - lightrag - INFO - _check_node_exists:query:MATCH (n:`FEZZIWIG`) RETURN count(n) > 0 AS node_exists:result:True -2024-10-30 06:47:19,025 - lightrag - INFO - _check_node_exists:query:MATCH (n:`THE DOMESTIC BALL`) RETURN count(n) > 0 AS node_exists:result:True -2024-10-30 06:47:19,201 - lightrag - INFO - _do_upsert_edge:query: - MATCH (source:`FEZZIWIG`) - WITH source - MATCH (target:`THE DOMESTIC BALL`) - MERGE (source)-[r:DIRECTED]->(target) - SET r += $properties - RETURN r - :result:None -2024-10-30 06:47:19,380 - lightrag - INFO - _check_edge_existence:query:MATCH (a:`DICK`)-[r]-(b:`SCROOGE`) RETURN COUNT(r) > 0 AS edgeExists:result:True -2024-10-30 06:47:19,511 - lightrag - INFO - get_edge:query: - MATCH (start:`DICK`)-[r]->(end:`SCROOGE`) - RETURN properties(r) as edge_properties - LIMIT 1 - :result:{'keywords': '"nostalgia, friendship"', 'weight': 7.0, 'description': '"Scrooge remembers Dick as a part of his past, highlighting their shared experiences during happier times."', 'source_id': 'chunk-b2f98bc7abb0c67d4c86055c7fd72218'} -2024-10-30 06:47:19,642 - lightrag - INFO - _check_node_exists:query:MATCH (n:`DICK`) RETURN count(n) > 0 AS node_exists:result:True -2024-10-30 06:47:19,798 - lightrag - INFO - _check_node_exists:query:MATCH (n:`SCROOGE`) RETURN count(n) > 0 AS node_exists:result:True -2024-10-30 06:47:19,978 - lightrag - INFO - _do_upsert_edge:query: - MATCH (source:`DICK`) - WITH source - MATCH (target:`SCROOGE`) - MERGE (source)-[r:DIRECTED]->(target) - SET r += $properties - RETURN r - :result:None -2024-10-30 06:47:20,151 - lightrag - INFO - _check_edge_existence:query:MATCH (a:`FEZZIWIG`)-[r]-(b:`THE TWO APPRENTICES`) RETURN COUNT(r) > 0 AS edgeExists:result:True -2024-10-30 06:47:20,281 - lightrag - INFO - get_edge:query: - MATCH (start:`FEZZIWIG`)-[r]->(end:`THE TWO APPRENTICES`) - RETURN properties(r) as edge_properties - LIMIT 1 - :result:{'keywords': '"gratitude, mentorship"', 'weight': 8.0, 'description': '"Fezziwig inspires deep gratitude and respect from his apprentices, who appreciate his kindness during their interactions at the ball."', 'source_id': 'chunk-b2f98bc7abb0c67d4c86055c7fd72218'} -2024-10-30 06:47:20,400 - lightrag - INFO - _check_node_exists:query:MATCH (n:`FEZZIWIG`) RETURN count(n) > 0 AS node_exists:result:True -2024-10-30 06:47:20,573 - lightrag - INFO - _check_node_exists:query:MATCH (n:`THE TWO APPRENTICES`) RETURN count(n) > 0 AS node_exists:result:True -2024-10-30 06:47:20,759 - lightrag - INFO - _do_upsert_edge:query: - MATCH (source:`FEZZIWIG`) - WITH source - MATCH (target:`THE TWO APPRENTICES`) - MERGE (source)-[r:DIRECTED]->(target) - SET r += $properties - RETURN r - :result:None -2024-10-30 06:47:20,937 - lightrag - INFO - _check_edge_existence:query:MATCH (a:`SCROOGE`)-[r]-(b:`THE GOLDEN IDOL`) RETURN COUNT(r) > 0 AS edgeExists:result:True -2024-10-30 06:47:21,071 - lightrag - INFO - get_edge:query: - MATCH (start:`SCROOGE`)-[r]->(end:`THE GOLDEN IDOL`) - RETURN properties(r) as edge_properties - LIMIT 1 - :result:{'keywords': '"materialism, lost connections"', 'weight': 10.0, 'description': '"The Golden Idol represents the materialistic pursuits that have displaced meaningful connections in Scrooge\'s life."', 'source_id': 'chunk-b2f98bc7abb0c67d4c86055c7fd72218'} -2024-10-30 06:47:21,185 - lightrag - INFO - _check_node_exists:query:MATCH (n:`SCROOGE`) RETURN count(n) > 0 AS node_exists:result:True -2024-10-30 06:47:21,352 - lightrag - INFO - _check_node_exists:query:MATCH (n:`THE GOLDEN IDOL`) RETURN count(n) > 0 AS node_exists:result:True -2024-10-30 06:47:21,532 - lightrag - INFO - _do_upsert_edge:query: - MATCH (source:`SCROOGE`) - WITH source - MATCH (target:`THE GOLDEN IDOL`) - MERGE (source)-[r:DIRECTED]->(target) - SET r += $properties - RETURN r - :result:None -2024-10-30 06:47:21,716 - lightrag - INFO - _check_edge_existence:query:MATCH (a:`SCROOGE`)-[r]-(b:`THE MOURNING DRESS`) RETURN COUNT(r) > 0 AS edgeExists:result:True -2024-10-30 06:47:21,851 - lightrag - INFO - get_edge:query: - MATCH (start:`SCROOGE`)-[r]->(end:`THE MOURNING DRESS`) - RETURN properties(r) as edge_properties - LIMIT 1 - :result:{'keywords': '"loss, emotional distance"', 'weight': 8.0, 'description': '"The Mourning Dress symbolizes Scrooge\'s unfulfilled relationships and the emotional consequences of his choices."', 'source_id': 'chunk-b2f98bc7abb0c67d4c86055c7fd72218'} -2024-10-30 06:47:21,967 - lightrag - INFO - _check_node_exists:query:MATCH (n:`SCROOGE`) RETURN count(n) > 0 AS node_exists:result:True -2024-10-30 06:47:22,134 - lightrag - INFO - _check_node_exists:query:MATCH (n:`THE MOURNING DRESS`) RETURN count(n) > 0 AS node_exists:result:True -2024-10-30 06:47:22,313 - lightrag - INFO - _do_upsert_edge:query: - MATCH (source:`SCROOGE`) - WITH source - MATCH (target:`THE MOURNING DRESS`) - MERGE (source)-[r:DIRECTED]->(target) - SET r += $properties - RETURN r - :result:None -2024-10-30 06:47:22,493 - lightrag - INFO - _check_edge_existence:query:MATCH (a:`SCROOGE`)-[r]-(b:`THE PRIME OF LIFE`) RETURN COUNT(r) > 0 AS edgeExists:result:True -2024-10-30 06:47:22,628 - lightrag - INFO - get_edge:query: - MATCH (start:`SCROOGE`)-[r]->(end:`THE PRIME OF LIFE`) - RETURN properties(r) as edge_properties - LIMIT 1 - :result:{'keywords': '"reflection, life choices"', 'weight': 9.0, 'description': '"Scrooge reflects on his Prime of Life, contrasting it with his current state and the sacrifices he has made for wealth."', 'source_id': 'chunk-b2f98bc7abb0c67d4c86055c7fd72218'} -2024-10-30 06:47:22,749 - lightrag - INFO - _check_node_exists:query:MATCH (n:`SCROOGE`) RETURN count(n) > 0 AS node_exists:result:True -2024-10-30 06:47:22,912 - lightrag - INFO - _check_node_exists:query:MATCH (n:`THE PRIME OF LIFE`) RETURN count(n) > 0 AS node_exists:result:True -2024-10-30 06:47:23,095 - lightrag - INFO - _do_upsert_edge:query: - MATCH (source:`SCROOGE`) - WITH source - MATCH (target:`THE PRIME OF LIFE`) - MERGE (source)-[r:DIRECTED]->(target) - SET r += $properties - RETURN r - :result:None -2024-10-30 06:47:23,270 - lightrag - INFO - _check_edge_existence:query:MATCH (a:`SCROOGE`)-[r]-(b:`THE BEAUTIFUL YOUNG GIRL`) RETURN COUNT(r) > 0 AS edgeExists:result:True -2024-10-30 06:47:23,404 - lightrag - INFO - get_edge:query: - MATCH (start:`SCROOGE`)-[r]->(end:`THE BEAUTIFUL YOUNG GIRL`) - RETURN properties(r) as edge_properties - LIMIT 1 - :result:{'keywords': '"nostalgia, lost love"', 'weight': 8.0, 'description': '"Scrooge reflects on his past relationship with the young girl, which holds significance in understanding his character\'s regrets."', 'source_id': 'chunk-54bdd22db1f84a965b5f4c06c9216d8d'} -2024-10-30 06:47:23,523 - lightrag - INFO - _check_node_exists:query:MATCH (n:`SCROOGE`) RETURN count(n) > 0 AS node_exists:result:True -2024-10-30 06:47:23,688 - lightrag - INFO - _check_node_exists:query:MATCH (n:`THE BEAUTIFUL YOUNG GIRL`) RETURN count(n) > 0 AS node_exists:result:True -2024-10-30 06:47:23,864 - lightrag - INFO - _do_upsert_edge:query: - MATCH (source:`SCROOGE`) - WITH source - MATCH (target:`THE BEAUTIFUL YOUNG GIRL`) - MERGE (source)-[r:DIRECTED]->(target) - SET r += $properties - RETURN r - :result:None -2024-10-30 06:47:24,037 - lightrag - INFO - _check_edge_existence:query:MATCH (a:`THE BEAUTIFUL YOUNG GIRL`)-[r]-(b:`THE COMELY MATRON`) RETURN COUNT(r) > 0 AS edgeExists:result:True -2024-10-30 06:47:24,168 - lightrag - INFO - get_edge:query: - MATCH (start:`THE BEAUTIFUL YOUNG GIRL`)-[r]->(end:`THE COMELY MATRON`) - RETURN properties(r) as edge_properties - LIMIT 1 - :result:{'keywords': '"change, passage of time"', 'weight': 7.0, 'description': '"The Beautiful Young Girl evolves into The Comely Matron, representing the effects of time and choices made."', 'source_id': 'chunk-54bdd22db1f84a965b5f4c06c9216d8d'} -2024-10-30 06:47:24,304 - lightrag - INFO - _check_node_exists:query:MATCH (n:`THE BEAUTIFUL YOUNG GIRL`) RETURN count(n) > 0 AS node_exists:result:True -2024-10-30 06:47:24,481 - lightrag - INFO - _check_node_exists:query:MATCH (n:`THE COMELY MATRON`) RETURN count(n) > 0 AS node_exists:result:True -2024-10-30 06:47:24,654 - lightrag - INFO - _do_upsert_edge:query: - MATCH (source:`THE BEAUTIFUL YOUNG GIRL`) - WITH source - MATCH (target:`THE COMELY MATRON`) - MERGE (source)-[r:DIRECTED]->(target) - SET r += $properties - RETURN r - :result:None -2024-10-30 06:47:24,835 - lightrag - INFO - _check_edge_existence:query:MATCH (a:`THE CHILDREN`)-[r]-(b:`THE COMELY MATRON`) RETURN COUNT(r) > 0 AS edgeExists:result:True -2024-10-30 06:47:24,966 - lightrag - INFO - get_edge:query: - MATCH (start:`THE CHILDREN`)-[r]->(end:`THE COMELY MATRON`) - RETURN properties(r) as edge_properties - LIMIT 1 - :result:{'keywords': '"family bonds, joy"', 'weight': 8.0, 'description': '"The Comely Matron fosters a lively environment with The Children, highlighting familial love and joy."', 'source_id': 'chunk-54bdd22db1f84a965b5f4c06c9216d8d'} -2024-10-30 06:47:25,097 - lightrag - INFO - _check_node_exists:query:MATCH (n:`THE CHILDREN`) RETURN count(n) > 0 AS node_exists:result:True -2024-10-30 06:47:25,255 - lightrag - INFO - _check_node_exists:query:MATCH (n:`THE COMELY MATRON`) RETURN count(n) > 0 AS node_exists:result:True -2024-10-30 06:47:25,433 - lightrag - INFO - _do_upsert_edge:query: - MATCH (source:`THE CHILDREN`) - WITH source - MATCH (target:`THE COMELY MATRON`) - MERGE (source)-[r:DIRECTED]->(target) - SET r += $properties - RETURN r - :result:None -2024-10-30 06:47:25,607 - lightrag - INFO - _check_edge_existence:query:MATCH (a:`THE CHILDREN`)-[r]-(b:`THE FATHER`) RETURN COUNT(r) > 0 AS edgeExists:result:True -2024-10-30 06:47:25,741 - lightrag - INFO - get_edge:query: - MATCH (start:`THE CHILDREN`)-[r]->(end:`THE FATHER`) - RETURN properties(r) as edge_properties - LIMIT 1 - :result:{'keywords': '"familial joy, celebration"', 'weight': 8.0, 'description': '"The Father engages with the children, highlighting familial bonds and the excitement of Christmas celebrations."', 'source_id': 'chunk-da2472b4ef2a535b62908f14d0fb0ca9'} -2024-10-30 06:47:25,875 - lightrag - INFO - _check_node_exists:query:MATCH (n:`THE CHILDREN`) RETURN count(n) > 0 AS node_exists:result:True -2024-10-30 06:47:26,044 - lightrag - INFO - _check_node_exists:query:MATCH (n:`THE FATHER`) RETURN count(n) > 0 AS node_exists:result:True -2024-10-30 06:47:26,219 - lightrag - INFO - _do_upsert_edge:query: - MATCH (source:`THE CHILDREN`) - WITH source - MATCH (target:`THE FATHER`) - MERGE (source)-[r:DIRECTED]->(target) - SET r += $properties - RETURN r - :result:None -2024-10-30 06:47:26,394 - lightrag - INFO - _check_edge_existence:query:MATCH (a:`SCROOGE`)-[r]-(b:`THE DOWERLESS GIRL`) RETURN COUNT(r) > 0 AS edgeExists:result:True -2024-10-30 06:47:26,536 - lightrag - INFO - get_edge:query: - MATCH (start:`SCROOGE`)-[r]->(end:`THE DOWERLESS GIRL`) - RETURN properties(r) as edge_properties - LIMIT 1 - :result:{'keywords': '"social constraints, regret"', 'weight': 6.0, 'description': '"Scrooge\'s reflections on the dowerless girl highlight the social constraints influencing his choices and feelings of regret."', 'source_id': 'chunk-54bdd22db1f84a965b5f4c06c9216d8d'} -2024-10-30 06:47:26,656 - lightrag - INFO - _check_node_exists:query:MATCH (n:`SCROOGE`) RETURN count(n) > 0 AS node_exists:result:True -2024-10-30 06:47:26,827 - lightrag - INFO - _check_node_exists:query:MATCH (n:`THE DOWERLESS GIRL`) RETURN count(n) > 0 AS node_exists:result:True -2024-10-30 06:47:27,005 - lightrag - INFO - _do_upsert_edge:query: - MATCH (source:`SCROOGE`) - WITH source - MATCH (target:`THE DOWERLESS GIRL`) - MERGE (source)-[r:DIRECTED]->(target) - SET r += $properties - RETURN r - :result:None -2024-10-30 06:47:27,216 - lightrag - INFO - _check_edge_existence:query:MATCH (a:`SCROOGE`)-[r]-(b:`THE MEMORY`) RETURN COUNT(r) > 0 AS edgeExists:result:True -2024-10-30 06:47:27,347 - lightrag - INFO - get_edge:query: - MATCH (start:`SCROOGE`)-[r]->(end:`THE MEMORY`) - RETURN properties(r) as edge_properties - LIMIT 1 - :result:{'keywords': '"reflection, impact of past"', 'weight': 8.0, 'description': '"Scrooge\'s memories play a crucial role in shaping his perspective on love and happiness as he confronts his past."', 'source_id': 'chunk-54bdd22db1f84a965b5f4c06c9216d8d'} -2024-10-30 06:47:27,469 - lightrag - INFO - _check_node_exists:query:MATCH (n:`SCROOGE`) RETURN count(n) > 0 AS node_exists:result:True -2024-10-30 06:47:27,638 - lightrag - INFO - _check_node_exists:query:MATCH (n:`THE MEMORY`) RETURN count(n) > 0 AS node_exists:result:True -2024-10-30 06:47:27,821 - lightrag - INFO - _do_upsert_edge:query: - MATCH (source:`SCROOGE`) - WITH source - MATCH (target:`THE MEMORY`) - MERGE (source)-[r:DIRECTED]->(target) - SET r += $properties - RETURN r - :result:None -2024-10-30 06:47:27,999 - lightrag - INFO - _check_edge_existence:query:MATCH (a:`THE FATHER`)-[r]-(b:`THE WINTER FIRE`) RETURN COUNT(r) > 0 AS edgeExists:result:True -2024-10-30 06:47:28,164 - lightrag - INFO - get_edge:query: - MATCH (start:`THE FATHER`)-[r]->(end:`THE WINTER FIRE`) - RETURN properties(r) as edge_properties - LIMIT 1 - :result:{'keywords': '"family reunion, warmth"', 'weight': 9.0, 'description': '"The Father\'s return to The Winter Fire represents the reunion of family and the warmth of home during the holiday season."', 'source_id': 'chunk-54bdd22db1f84a965b5f4c06c9216d8d'} -2024-10-30 06:47:28,293 - lightrag - INFO - _check_node_exists:query:MATCH (n:`THE FATHER`) RETURN count(n) > 0 AS node_exists:result:True -2024-10-30 06:47:28,461 - lightrag - INFO - _check_node_exists:query:MATCH (n:`THE WINTER FIRE`) RETURN count(n) > 0 AS node_exists:result:True -2024-10-30 06:47:28,638 - lightrag - INFO - _do_upsert_edge:query: - MATCH (source:`THE FATHER`) - WITH source - MATCH (target:`THE WINTER FIRE`) - MERGE (source)-[r:DIRECTED]->(target) - SET r += $properties - RETURN r - :result:None -2024-10-30 06:47:28,814 - lightrag - INFO - _check_edge_existence:query:MATCH (a:`HAPPINESS`)-[r]-(b:`THE BEAUTIFUL YOUNG GIRL`) RETURN COUNT(r) > 0 AS edgeExists:result:True -2024-10-30 06:47:28,947 - lightrag - INFO - get_edge:query: - MATCH (start:`HAPPINESS`)-[r]->(end:`THE BEAUTIFUL YOUNG GIRL`) - RETURN properties(r) as edge_properties - LIMIT 1 - :result:{'keywords': '"lost happiness, longing"', 'weight': 7.0, 'description': '"The Beautiful Young Girl embodies the happiness that Scrooge once sought and now feels he has lost."', 'source_id': 'chunk-54bdd22db1f84a965b5f4c06c9216d8d'} -2024-10-30 06:47:29,076 - lightrag - INFO - _check_node_exists:query:MATCH (n:`HAPPINESS`) RETURN count(n) > 0 AS node_exists:result:True -2024-10-30 06:47:29,243 - lightrag - INFO - _check_node_exists:query:MATCH (n:`THE BEAUTIFUL YOUNG GIRL`) RETURN count(n) > 0 AS node_exists:result:True -2024-10-30 06:47:29,425 - lightrag - INFO - _do_upsert_edge:query: - MATCH (source:`HAPPINESS`) - WITH source - MATCH (target:`THE BEAUTIFUL YOUNG GIRL`) - MERGE (source)-[r:DIRECTED]->(target) - SET r += $properties - RETURN r - :result:None -2024-10-30 06:47:29,601 - lightrag - INFO - _check_edge_existence:query:MATCH (a:`HOPE`)-[r]-(b:`THE COMELY MATRON`) RETURN COUNT(r) > 0 AS edgeExists:result:True -2024-10-30 06:47:29,738 - lightrag - INFO - get_edge:query: - MATCH (start:`HOPE`)-[r]->(end:`THE COMELY MATRON`) - RETURN properties(r) as edge_properties - LIMIT 1 - :result:{'keywords': '"hope, family love"', 'weight': 8.0, 'description': '"The Comely Matron represents the hope for a joyful and fulfilling family life, enhancing the themes of love and connection."', 'source_id': 'chunk-54bdd22db1f84a965b5f4c06c9216d8d'} -2024-10-30 06:47:29,872 - lightrag - INFO - _check_node_exists:query:MATCH (n:`HOPE`) RETURN count(n) > 0 AS node_exists:result:True -2024-10-30 06:47:30,030 - lightrag - INFO - _check_node_exists:query:MATCH (n:`THE COMELY MATRON`) RETURN count(n) > 0 AS node_exists:result:True -2024-10-30 06:47:30,205 - lightrag - INFO - _do_upsert_edge:query: - MATCH (source:`HOPE`) - WITH source - MATCH (target:`THE COMELY MATRON`) - MERGE (source)-[r:DIRECTED]->(target) - SET r += $properties - RETURN r - :result:None -2024-10-30 06:47:30,382 - lightrag - INFO - _check_edge_existence:query:MATCH (a:`THE COMELY MATRON`)-[r]-(b:`THE YOUNG BRIGANDS`) RETURN COUNT(r) > 0 AS edgeExists:result:True -2024-10-30 06:47:30,514 - lightrag - INFO - get_edge:query: - MATCH (start:`THE COMELY MATRON`)-[r]->(end:`THE YOUNG BRIGANDS`) - RETURN properties(r) as edge_properties - LIMIT 1 - :result:{'keywords': '"chaos, joy of childhood"', 'weight': 7.0, 'description': '"The Comely Matron encourages the Young Brigands\' playfulness, highlighting the joy and chaos of family life."', 'source_id': 'chunk-54bdd22db1f84a965b5f4c06c9216d8d'} -2024-10-30 06:47:30,635 - lightrag - INFO - _check_node_exists:query:MATCH (n:`THE COMELY MATRON`) RETURN count(n) > 0 AS node_exists:result:True -2024-10-30 06:47:30,805 - lightrag - INFO - _check_node_exists:query:MATCH (n:`THE YOUNG BRIGANDS`) RETURN count(n) > 0 AS node_exists:result:True -2024-10-30 06:47:30,980 - lightrag - INFO - _do_upsert_edge:query: - MATCH (source:`THE COMELY MATRON`) - WITH source - MATCH (target:`THE YOUNG BRIGANDS`) - MERGE (source)-[r:DIRECTED]->(target) - SET r += $properties - RETURN r - :result:None -2024-10-30 06:47:31,155 - lightrag - INFO - _check_edge_existence:query:MATCH (a:`BELLE`)-[r]-(b:`SCROOGE`) RETURN COUNT(r) > 0 AS edgeExists:result:True -2024-10-30 06:47:31,280 - lightrag - INFO - get_edge:query: - MATCH (start:`BELLE`)-[r]->(end:`SCROOGE`) - RETURN properties(r) as edge_properties - LIMIT 1 - :result:{'keywords': '"lost love, regret"', 'weight': 8.0, 'description': '"Scrooge reflects on his lost relationship with Belle, highlighting his feelings of regret and emotional pain."', 'source_id': 'chunk-da2472b4ef2a535b62908f14d0fb0ca9'} -2024-10-30 06:47:31,412 - lightrag - INFO - _check_node_exists:query:MATCH (n:`BELLE`) RETURN count(n) > 0 AS node_exists:result:True -2024-10-30 06:47:31,569 - lightrag - INFO - _check_node_exists:query:MATCH (n:`SCROOGE`) RETURN count(n) > 0 AS node_exists:result:True -2024-10-30 06:47:31,751 - lightrag - INFO - _do_upsert_edge:query: - MATCH (source:`BELLE`) - WITH source - MATCH (target:`SCROOGE`) - MERGE (source)-[r:DIRECTED]->(target) - SET r += $properties - RETURN r - :result:None -2024-10-30 06:47:31,939 - lightrag - INFO - _check_edge_existence:query:MATCH (a:`CHRISTMAS`)-[r]-(b:`THE SPIRIT`) RETURN COUNT(r) > 0 AS edgeExists:result:True -2024-10-30 06:47:32,075 - lightrag - INFO - get_edge:query: - MATCH (start:`CHRISTMAS`)-[r]->(end:`THE SPIRIT`) - RETURN properties(r) as edge_properties - LIMIT 1 - :result:{'keywords': '"holiday spirit, compassion""seasonal influence, moral reflection"', 'weight': 17.0, 'description': '"The Spirit connects various scenes to the theme of Christmas, emphasizing its impact on individuals’ attitudes and behaviors.""The Spirit\'s appearances highlight the themes of Christmas and the importance of compassion and community."', 'source_id': 'chunk-91614df5cb74cbe5e109a338a82041e9chunk-da2472b4ef2a535b62908f14d0fb0ca9'} -2024-10-30 06:47:32,195 - lightrag - INFO - _check_node_exists:query:MATCH (n:`CHRISTMAS`) RETURN count(n) > 0 AS node_exists:result:True -2024-10-30 06:47:32,363 - lightrag - INFO - _check_node_exists:query:MATCH (n:`THE SPIRIT`) RETURN count(n) > 0 AS node_exists:result:True -2024-10-30 06:47:32,545 - lightrag - INFO - _do_upsert_edge:query: - MATCH (source:`CHRISTMAS`) - WITH source - MATCH (target:`THE SPIRIT`) - MERGE (source)-[r:DIRECTED]->(target) - SET r += $properties - RETURN r - :result:None -2024-10-30 06:47:32,723 - lightrag - INFO - _check_edge_existence:query:MATCH (a:`SCROOGE`)-[r]-(b:`THE OFFICE`) RETURN COUNT(r) > 0 AS edgeExists:result:True -2024-10-30 06:47:32,855 - lightrag - INFO - get_edge:query: - MATCH (start:`SCROOGE`)-[r]->(end:`THE OFFICE`) - RETURN properties(r) as edge_properties - LIMIT 1 - :result:{'keywords': '"isolation, work ethic"', 'weight': 6.0, 'description': '"Scrooge\'s office reflects his solitary and business-driven life, showcasing his disconnection from familial and social ties."', 'source_id': 'chunk-da2472b4ef2a535b62908f14d0fb0ca9'} -2024-10-30 06:47:32,971 - lightrag - INFO - _check_node_exists:query:MATCH (n:`SCROOGE`) RETURN count(n) > 0 AS node_exists:result:True -2024-10-30 06:47:33,142 - lightrag - INFO - _check_node_exists:query:MATCH (n:`THE OFFICE`) RETURN count(n) > 0 AS node_exists:result:True -2024-10-30 06:47:33,319 - lightrag - INFO - _do_upsert_edge:query: - MATCH (source:`SCROOGE`) - WITH source - MATCH (target:`THE OFFICE`) - MERGE (source)-[r:DIRECTED]->(target) - SET r += $properties - RETURN r - :result:None -2024-10-30 06:47:33,494 - lightrag - INFO - _check_edge_existence:query:MATCH (a:`THE FATHER`)-[r]-(b:`THE MOTHER`) RETURN COUNT(r) > 0 AS edgeExists:result:True -2024-10-30 06:47:33,628 - lightrag - INFO - get_edge:query: - MATCH (start:`THE FATHER`)-[r]->(end:`THE MOTHER`) - RETURN properties(r) as edge_properties - LIMIT 1 - :result:{'keywords': '"family dynamics, togetherness"', 'weight': 6.0, 'description': '"The Mother and Father are depicted together, emphasizing family dynamics during the festive occasion."', 'source_id': 'chunk-da2472b4ef2a535b62908f14d0fb0ca9'} -2024-10-30 06:47:33,754 - lightrag - INFO - _check_node_exists:query:MATCH (n:`THE FATHER`) RETURN count(n) > 0 AS node_exists:result:True -2024-10-30 06:47:33,923 - lightrag - INFO - _check_node_exists:query:MATCH (n:`THE MOTHER`) RETURN count(n) > 0 AS node_exists:result:True -2024-10-30 06:47:34,107 - lightrag - INFO - _do_upsert_edge:query: - MATCH (source:`THE FATHER`) - WITH source - MATCH (target:`THE MOTHER`) - MERGE (source)-[r:DIRECTED]->(target) - SET r += $properties - RETURN r - :result:None -2024-10-30 06:47:34,280 - lightrag - INFO - _check_edge_existence:query:MATCH (a:`THE BABY`)-[r]-(b:`THE CHILDREN`) RETURN COUNT(r) > 0 AS edgeExists:result:True -2024-10-30 06:47:34,414 - lightrag - INFO - get_edge:query: - MATCH (start:`THE BABY`)-[r]->(end:`THE CHILDREN`) - RETURN properties(r) as edge_properties - LIMIT 1 - :result:{'keywords': '"playfulness, innocence"', 'weight': 6.0, 'description': '"The Children interact with The Baby in a playful manner, illustrating the innocence of youth during Christmas."', 'source_id': 'chunk-da2472b4ef2a535b62908f14d0fb0ca9'} -2024-10-30 06:47:34,542 - lightrag - INFO - _check_node_exists:query:MATCH (n:`THE BABY`) RETURN count(n) > 0 AS node_exists:result:True -2024-10-30 06:47:34,714 - lightrag - INFO - _check_node_exists:query:MATCH (n:`THE CHILDREN`) RETURN count(n) > 0 AS node_exists:result:True -2024-10-30 06:47:34,898 - lightrag - INFO - _do_upsert_edge:query: - MATCH (source:`THE BABY`) - WITH source - MATCH (target:`THE CHILDREN`) - MERGE (source)-[r:DIRECTED]->(target) - SET r += $properties - RETURN r - :result:None -2024-10-30 06:47:35,081 - lightrag - INFO - _check_edge_existence:query:MATCH (a:`THE CHILDREN`)-[r]-(b:`THE PORTER`) RETURN COUNT(r) > 0 AS edgeExists:result:True -2024-10-30 06:47:35,214 - lightrag - INFO - get_edge:query: - MATCH (start:`THE CHILDREN`)-[r]->(end:`THE PORTER`) - RETURN properties(r) as edge_properties - LIMIT 1 - :result:{'keywords': '"playfulness, joy"', 'weight': 9.0, 'description': '"The Children playfully interact with the Porter, creating a scene of joyous chaos and affection."', 'source_id': 'chunk-da2472b4ef2a535b62908f14d0fb0ca9'} -2024-10-30 06:47:35,330 - lightrag - INFO - _check_node_exists:query:MATCH (n:`THE CHILDREN`) RETURN count(n) > 0 AS node_exists:result:True -2024-10-30 06:47:35,497 - lightrag - INFO - _check_node_exists:query:MATCH (n:`THE PORTER`) RETURN count(n) > 0 AS node_exists:result:True -2024-10-30 06:47:35,671 - lightrag - INFO - _do_upsert_edge:query: - MATCH (source:`THE CHILDREN`) - WITH source - MATCH (target:`THE PORTER`) - MERGE (source)-[r:DIRECTED]->(target) - SET r += $properties - RETURN r - :result:None -2024-10-30 06:47:35,844 - lightrag - INFO - _check_edge_existence:query:MATCH (a:`THE CHILDREN`)-[r]-(b:`THE MOTHER`) RETURN COUNT(r) > 0 AS edgeExists:result:True -2024-10-30 06:47:35,981 - lightrag - INFO - get_edge:query: - MATCH (start:`THE CHILDREN`)-[r]->(end:`THE MOTHER`) - RETURN properties(r) as edge_properties - LIMIT 1 - :result:{'keywords': '"family care, joy"', 'weight': 7.0, 'description': '"The Mother facilitates the family celebrations, ensuring that her children experience joy during Christmas."', 'source_id': 'chunk-da2472b4ef2a535b62908f14d0fb0ca9'} -2024-10-30 06:47:36,102 - lightrag - INFO - _check_node_exists:query:MATCH (n:`THE CHILDREN`) RETURN count(n) > 0 AS node_exists:result:True -2024-10-30 06:47:36,270 - lightrag - INFO - _check_node_exists:query:MATCH (n:`THE MOTHER`) RETURN count(n) > 0 AS node_exists:result:True -2024-10-30 06:47:36,450 - lightrag - INFO - _do_upsert_edge:query: - MATCH (source:`THE CHILDREN`) - WITH source - MATCH (target:`THE MOTHER`) - MERGE (source)-[r:DIRECTED]->(target) - SET r += $properties - RETURN r - :result:None -2024-10-30 06:47:36,629 - lightrag - INFO - _check_edge_existence:query:MATCH (a:`HOME`)-[r]-(b:`THE MOTHER`) RETURN COUNT(r) > 0 AS edgeExists:result:True -2024-10-30 06:47:36,766 - lightrag - INFO - get_edge:query: - MATCH (start:`HOME`)-[r]->(end:`THE MOTHER`) - RETURN properties(r) as edge_properties - LIMIT 1 - :result:{'keywords': '"family unity, celebration"', 'weight': 9.0, 'description': '"Home is where The Mother organizes the family Christmas celebration, serving as the heart of their togetherness."', 'source_id': 'chunk-da2472b4ef2a535b62908f14d0fb0ca9'} -2024-10-30 06:47:36,896 - lightrag - INFO - _check_node_exists:query:MATCH (n:`HOME`) RETURN count(n) > 0 AS node_exists:result:True -2024-10-30 06:47:37,054 - lightrag - INFO - _check_node_exists:query:MATCH (n:`THE MOTHER`) RETURN count(n) > 0 AS node_exists:result:True -2024-10-30 06:47:37,228 - lightrag - INFO - _do_upsert_edge:query: - MATCH (source:`HOME`) - WITH source - MATCH (target:`THE MOTHER`) - MERGE (source)-[r:DIRECTED]->(target) - SET r += $properties - RETURN r - :result:None -2024-10-30 06:47:37,404 - lightrag - INFO - _check_edge_existence:query:MATCH (a:`GHOST OF CHRISTMAS PRESENT`)-[r]-(b:`HOLLY`) RETURN COUNT(r) > 0 AS edgeExists:result:True -2024-10-30 06:47:37,540 - lightrag - INFO - get_edge:query: - MATCH (start:`GHOST OF CHRISTMAS PRESENT`)-[r]->(end:`HOLLY`) - RETURN properties(r) as edge_properties - LIMIT 1 - :result:{'keywords': '"festive spirit, symbolism"', 'weight': 9.0, 'description': '"Holly is part of the Ghost\'s attire, reinforcing the themes of joy and celebration during Christmas."', 'source_id': 'chunk-843b5b2f944c7413d9ca876e2e2f151f'} -2024-10-30 06:47:37,668 - lightrag - INFO - _check_node_exists:query:MATCH (n:`GHOST OF CHRISTMAS PRESENT`) RETURN count(n) > 0 AS node_exists:result:True -2024-10-30 06:47:37,839 - lightrag - INFO - _check_node_exists:query:MATCH (n:`HOLLY`) RETURN count(n) > 0 AS node_exists:result:True -2024-10-30 06:47:38,018 - lightrag - INFO - _do_upsert_edge:query: - MATCH (source:`GHOST OF CHRISTMAS PRESENT`) - WITH source - MATCH (target:`HOLLY`) - MERGE (source)-[r:DIRECTED]->(target) - SET r += $properties - RETURN r - :result:None -2024-10-30 06:47:38,200 - lightrag - INFO - _check_edge_existence:query:MATCH (a:`GHOST OF CHRISTMAS PRESENT`)-[r]-(b:`MISTLETOE`) RETURN COUNT(r) > 0 AS edgeExists:result:True -2024-10-30 06:47:38,331 - lightrag - INFO - get_edge:query: - MATCH (start:`GHOST OF CHRISTMAS PRESENT`)-[r]->(end:`MISTLETOE`) - RETURN properties(r) as edge_properties - LIMIT 1 - :result:{'keywords': '"tradition, symbolism"', 'weight': 7.0, 'description': '"The Spirit’s presence is enhanced by Mistletoe, a traditional decoration symbolizing love and goodwill."', 'source_id': 'chunk-843b5b2f944c7413d9ca876e2e2f151f'} -2024-10-30 06:47:38,459 - lightrag - INFO - _check_node_exists:query:MATCH (n:`GHOST OF CHRISTMAS PRESENT`) RETURN count(n) > 0 AS node_exists:result:True -2024-10-30 06:47:38,625 - lightrag - INFO - _check_node_exists:query:MATCH (n:`MISTLETOE`) RETURN count(n) > 0 AS node_exists:result:True -2024-10-30 06:47:38,804 - lightrag - INFO - _do_upsert_edge:query: - MATCH (source:`GHOST OF CHRISTMAS PRESENT`) - WITH source - MATCH (target:`MISTLETOE`) - MERGE (source)-[r:DIRECTED]->(target) - SET r += $properties - RETURN r - :result:None -2024-10-30 06:47:38,990 - lightrag - INFO - _check_edge_existence:query:MATCH (a:`GHOST OF CHRISTMAS PRESENT`)-[r]-(b:`RED BERRIES`) RETURN COUNT(r) > 0 AS edgeExists:result:True -2024-10-30 06:47:39,125 - lightrag - INFO - get_edge:query: - MATCH (start:`GHOST OF CHRISTMAS PRESENT`)-[r]->(end:`RED BERRIES`) - RETURN properties(r) as edge_properties - LIMIT 1 - :result:{'keywords': '"festivity, abundance"', 'weight': 7.0, 'description': '"The Ghost is surrounded by Red Berries, reinforcing the imagery of Christmas abundance and decoration."', 'source_id': 'chunk-843b5b2f944c7413d9ca876e2e2f151f'} -2024-10-30 06:47:39,251 - lightrag - INFO - _check_node_exists:query:MATCH (n:`GHOST OF CHRISTMAS PRESENT`) RETURN count(n) > 0 AS node_exists:result:True -2024-10-30 06:47:39,418 - lightrag - INFO - _check_node_exists:query:MATCH (n:`RED BERRIES`) RETURN count(n) > 0 AS node_exists:result:True -2024-10-30 06:47:39,593 - lightrag - INFO - _do_upsert_edge:query: - MATCH (source:`GHOST OF CHRISTMAS PRESENT`) - WITH source - MATCH (target:`RED BERRIES`) - MERGE (source)-[r:DIRECTED]->(target) - SET r += $properties - RETURN r - :result:None -2024-10-30 06:47:39,773 - lightrag - INFO - _check_edge_existence:query:MATCH (a:`GHOST OF CHRISTMAS PRESENT`)-[r]-(b:`TURKEYS`) RETURN COUNT(r) > 0 AS edgeExists:result:True -2024-10-30 06:47:39,910 - lightrag - INFO - get_edge:query: - MATCH (start:`GHOST OF CHRISTMAS PRESENT`)-[r]->(end:`TURKEYS`) - RETURN properties(r) as edge_properties - LIMIT 1 - :result:{'keywords': '"feasting, abundance"', 'weight': 8.0, 'description': '"The Ghost highlights the presence of Turkeys at the feast, emphasizing the spirit of generosity during Christmas."', 'source_id': 'chunk-843b5b2f944c7413d9ca876e2e2f151f'} -2024-10-30 06:47:40,034 - lightrag - INFO - _check_node_exists:query:MATCH (n:`GHOST OF CHRISTMAS PRESENT`) RETURN count(n) > 0 AS node_exists:result:True -2024-10-30 06:47:40,202 - lightrag - INFO - _check_node_exists:query:MATCH (n:`TURKEYS`) RETURN count(n) > 0 AS node_exists:result:True -2024-10-30 06:47:40,379 - lightrag - INFO - _do_upsert_edge:query: - MATCH (source:`GHOST OF CHRISTMAS PRESENT`) - WITH source - MATCH (target:`TURKEYS`) - MERGE (source)-[r:DIRECTED]->(target) - SET r += $properties - RETURN r - :result:None -2024-10-30 06:47:40,552 - lightrag - INFO - _check_edge_existence:query:MATCH (a:`GHOST OF CHRISTMAS PRESENT`)-[r]-(b:`POULTRY`) RETURN COUNT(r) > 0 AS edgeExists:result:True -2024-10-30 06:47:40,683 - lightrag - INFO - get_edge:query: - MATCH (start:`GHOST OF CHRISTMAS PRESENT`)-[r]->(end:`POULTRY`) - RETURN properties(r) as edge_properties - LIMIT 1 - :result:{'keywords': '"feast, tradition"', 'weight': 8.0, 'description': '"The Ghost presents Poultry as part of the Christmas spread, highlighting the traditional meals associated with the holiday."', 'source_id': 'chunk-843b5b2f944c7413d9ca876e2e2f151f'} -2024-10-30 06:47:40,799 - lightrag - INFO - _check_node_exists:query:MATCH (n:`GHOST OF CHRISTMAS PRESENT`) RETURN count(n) > 0 AS node_exists:result:True -2024-10-30 06:47:40,969 - lightrag - INFO - _check_node_exists:query:MATCH (n:`POULTRY`) RETURN count(n) > 0 AS node_exists:result:True -2024-10-30 06:47:41,149 - lightrag - INFO - _do_upsert_edge:query: - MATCH (source:`GHOST OF CHRISTMAS PRESENT`) - WITH source - MATCH (target:`POULTRY`) - MERGE (source)-[r:DIRECTED]->(target) - SET r += $properties - RETURN r - :result:None -2024-10-30 06:47:41,326 - lightrag - INFO - _check_edge_existence:query:MATCH (a:`GHOST OF CHRISTMAS PRESENT`)-[r]-(b:`MEAT`) RETURN COUNT(r) > 0 AS edgeExists:result:True -2024-10-30 06:47:41,467 - lightrag - INFO - get_edge:query: - MATCH (start:`GHOST OF CHRISTMAS PRESENT`)-[r]->(end:`MEAT`) - RETURN properties(r) as edge_properties - LIMIT 1 - :result:{'keywords': '"abundance, generosity"', 'weight': 8.0, 'description': '"The included Meat within the Ghost\'s feast symbolizes abundance and the spirit of generosity during Christmas."', 'source_id': 'chunk-843b5b2f944c7413d9ca876e2e2f151f'} -2024-10-30 06:47:41,584 - lightrag - INFO - _check_node_exists:query:MATCH (n:`GHOST OF CHRISTMAS PRESENT`) RETURN count(n) > 0 AS node_exists:result:True -2024-10-30 06:47:41,753 - lightrag - INFO - _check_node_exists:query:MATCH (n:`MEAT`) RETURN count(n) > 0 AS node_exists:result:True -2024-10-30 06:47:41,930 - lightrag - INFO - _do_upsert_edge:query: - MATCH (source:`GHOST OF CHRISTMAS PRESENT`) - WITH source - MATCH (target:`MEAT`) - MERGE (source)-[r:DIRECTED]->(target) - SET r += $properties - RETURN r - :result:None -2024-10-30 06:47:42,114 - lightrag - INFO - _check_edge_existence:query:MATCH (a:`GHOST OF CHRISTMAS PRESENT`)-[r]-(b:`SAUSAGES`) RETURN COUNT(r) > 0 AS edgeExists:result:True -2024-10-30 06:47:42,247 - lightrag - INFO - get_edge:query: - MATCH (start:`GHOST OF CHRISTMAS PRESENT`)-[r]->(end:`SAUSAGES`) - RETURN properties(r) as edge_properties - LIMIT 1 - :result:{'keywords': '"celebration, abundance"', 'weight': 7.0, 'description': '"Sausages contribute to the lavish spread, symbolizing the abundance of the Christmas feast."', 'source_id': 'chunk-843b5b2f944c7413d9ca876e2e2f151f'} -2024-10-30 06:47:42,367 - lightrag - INFO - _check_node_exists:query:MATCH (n:`GHOST OF CHRISTMAS PRESENT`) RETURN count(n) > 0 AS node_exists:result:True -2024-10-30 06:47:42,533 - lightrag - INFO - _check_node_exists:query:MATCH (n:`SAUSAGES`) RETURN count(n) > 0 AS node_exists:result:True -2024-10-30 06:47:42,714 - lightrag - INFO - _do_upsert_edge:query: - MATCH (source:`GHOST OF CHRISTMAS PRESENT`) - WITH source - MATCH (target:`SAUSAGES`) - MERGE (source)-[r:DIRECTED]->(target) - SET r += $properties - RETURN r - :result:None -2024-10-30 06:47:42,892 - lightrag - INFO - _check_edge_existence:query:MATCH (a:`GHOST OF CHRISTMAS PRESENT`)-[r]-(b:`OYSTERS`) RETURN COUNT(r) > 0 AS edgeExists:result:True -2024-10-30 06:47:43,026 - lightrag - INFO - get_edge:query: - MATCH (start:`GHOST OF CHRISTMAS PRESENT`)-[r]->(end:`OYSTERS`) - RETURN properties(r) as edge_properties - LIMIT 1 - :result:{'keywords': '"luxury, celebration"', 'weight': 8.0, 'description': '"The inclusion of Oysters in the Christmas feast illustrates the luxury and indulgence during festive celebrations."', 'source_id': 'chunk-843b5b2f944c7413d9ca876e2e2f151f'} -2024-10-30 06:47:43,141 - lightrag - INFO - _check_node_exists:query:MATCH (n:`GHOST OF CHRISTMAS PRESENT`) RETURN count(n) > 0 AS node_exists:result:True -2024-10-30 06:47:43,306 - lightrag - INFO - _check_node_exists:query:MATCH (n:`OYSTERS`) RETURN count(n) > 0 AS node_exists:result:True -2024-10-30 06:47:43,481 - lightrag - INFO - _do_upsert_edge:query: - MATCH (source:`GHOST OF CHRISTMAS PRESENT`) - WITH source - MATCH (target:`OYSTERS`) - MERGE (source)-[r:DIRECTED]->(target) - SET r += $properties - RETURN r - :result:None -2024-10-30 06:47:43,650 - lightrag - INFO - _check_edge_existence:query:MATCH (a:`GHOST OF CHRISTMAS PRESENT`)-[r]-(b:`PIES`) RETURN COUNT(r) > 0 AS edgeExists:result:True -2024-10-30 06:47:43,781 - lightrag - INFO - get_edge:query: - MATCH (start:`GHOST OF CHRISTMAS PRESENT`)-[r]->(end:`PIES`) - RETURN properties(r) as edge_properties - LIMIT 1 - :result:{'keywords': '"tradition, dessert"', 'weight': 8.0, 'description': '"Pies presented by the Ghost highlight the traditions of holiday desserts shared among families."', 'source_id': 'chunk-843b5b2f944c7413d9ca876e2e2f151f'} -2024-10-30 06:47:43,902 - lightrag - INFO - _check_node_exists:query:MATCH (n:`GHOST OF CHRISTMAS PRESENT`) RETURN count(n) > 0 AS node_exists:result:True -2024-10-30 06:47:44,072 - lightrag - INFO - _check_node_exists:query:MATCH (n:`PIES`) RETURN count(n) > 0 AS node_exists:result:True -2024-10-30 06:47:44,252 - lightrag - INFO - _do_upsert_edge:query: - MATCH (source:`GHOST OF CHRISTMAS PRESENT`) - WITH source - MATCH (target:`PIES`) - MERGE (source)-[r:DIRECTED]->(target) - SET r += $properties - RETURN r - :result:None -2024-10-30 06:47:44,430 - lightrag - INFO - _check_edge_existence:query:MATCH (a:`GHOST OF CHRISTMAS PRESENT`)-[r]-(b:`PUDDINGS`) RETURN COUNT(r) > 0 AS edgeExists:result:True -2024-10-30 06:47:44,560 - lightrag - INFO - get_edge:query: - MATCH (start:`GHOST OF CHRISTMAS PRESENT`)-[r]->(end:`PUDDINGS`) - RETURN properties(r) as edge_properties - LIMIT 1 - :result:{'keywords': '"warmth, comfort"', 'weight': 8.0, 'description': '"Puddings are part of the Ghost’s feast, embodying warmth and comfort during the Christmas season."', 'source_id': 'chunk-843b5b2f944c7413d9ca876e2e2f151f'} -2024-10-30 06:47:44,675 - lightrag - INFO - _check_node_exists:query:MATCH (n:`GHOST OF CHRISTMAS PRESENT`) RETURN count(n) > 0 AS node_exists:result:True -2024-10-30 06:47:44,846 - lightrag - INFO - _check_node_exists:query:MATCH (n:`PUDDINGS`) RETURN count(n) > 0 AS node_exists:result:True -2024-10-30 06:47:45,022 - lightrag - INFO - _do_upsert_edge:query: - MATCH (source:`GHOST OF CHRISTMAS PRESENT`) - WITH source - MATCH (target:`PUDDINGS`) - MERGE (source)-[r:DIRECTED]->(target) - SET r += $properties - RETURN r - :result:None -2024-10-30 06:47:45,201 - lightrag - INFO - _check_edge_existence:query:MATCH (a:`FRUIT`)-[r]-(b:`GHOST OF CHRISTMAS PRESENT`) RETURN COUNT(r) > 0 AS edgeExists:result:True -2024-10-30 06:47:45,335 - lightrag - INFO - get_edge:query: - MATCH (start:`FRUIT`)-[r]->(end:`GHOST OF CHRISTMAS PRESENT`) - RETURN properties(r) as edge_properties - LIMIT 1 - :result:{'keywords': '"sharing, abundance"', 'weight': 8.0, 'description': '"Fruit served by the Ghost reinforces the joy of sharing and the abundance of the Christmas season."', 'source_id': 'chunk-843b5b2f944c7413d9ca876e2e2f151f'} -2024-10-30 06:47:45,466 - lightrag - INFO - _check_node_exists:query:MATCH (n:`FRUIT`) RETURN count(n) > 0 AS node_exists:result:True -2024-10-30 06:47:45,618 - lightrag - INFO - _check_node_exists:query:MATCH (n:`GHOST OF CHRISTMAS PRESENT`) RETURN count(n) > 0 AS node_exists:result:True -2024-10-30 06:47:45,797 - lightrag - INFO - _do_upsert_edge:query: - MATCH (source:`FRUIT`) - WITH source - MATCH (target:`GHOST OF CHRISTMAS PRESENT`) - MERGE (source)-[r:DIRECTED]->(target) - SET r += $properties - RETURN r - :result:None -2024-10-30 06:47:45,978 - lightrag - INFO - _check_edge_existence:query:MATCH (a:`GHOST OF CHRISTMAS PRESENT`)-[r]-(b:`PUNCH`) RETURN COUNT(r) > 0 AS edgeExists:result:True -2024-10-30 06:47:46,113 - lightrag - INFO - get_edge:query: - MATCH (start:`GHOST OF CHRISTMAS PRESENT`)-[r]->(end:`PUNCH`) - RETURN properties(r) as edge_properties - LIMIT 1 - :result:{'keywords': '"celebration, festivity"', 'weight': 8.0, 'description': '"Punch serves as a festive drink shared during Christmas, enhancing the celebratory atmosphere."', 'source_id': 'chunk-843b5b2f944c7413d9ca876e2e2f151f'} -2024-10-30 06:47:46,233 - lightrag - INFO - _check_node_exists:query:MATCH (n:`GHOST OF CHRISTMAS PRESENT`) RETURN count(n) > 0 AS node_exists:result:True -2024-10-30 06:47:46,459 - lightrag - INFO - _check_node_exists:query:MATCH (n:`PUNCH`) RETURN count(n) > 0 AS node_exists:result:True -2024-10-30 06:47:46,637 - lightrag - INFO - _do_upsert_edge:query: - MATCH (source:`GHOST OF CHRISTMAS PRESENT`) - WITH source - MATCH (target:`PUNCH`) - MERGE (source)-[r:DIRECTED]->(target) - SET r += $properties - RETURN r - :result:None -2024-10-30 06:47:46,814 - lightrag - INFO - _check_edge_existence:query:MATCH (a:`ANTIQUE SCABBARD`)-[r]-(b:`GHOST OF CHRISTMAS PRESENT`) RETURN COUNT(r) > 0 AS edgeExists:result:True -2024-10-30 06:47:46,946 - lightrag - INFO - get_edge:query: - MATCH (start:`ANTIQUE SCABBARD`)-[r]->(end:`GHOST OF CHRISTMAS PRESENT`) - RETURN properties(r) as edge_properties - LIMIT 1 - :result:{'keywords': '"history, guardianship"', 'weight': 7.0, 'description': '"The Antique Scabbard worn by the Spirit symbolizes history and the guardianship of Christmas traditions."', 'source_id': 'chunk-843b5b2f944c7413d9ca876e2e2f151f'} -2024-10-30 06:47:47,080 - lightrag - INFO - _check_node_exists:query:MATCH (n:`ANTIQUE SCABBARD`) RETURN count(n) > 0 AS node_exists:result:True -2024-10-30 06:47:47,241 - lightrag - INFO - _check_node_exists:query:MATCH (n:`GHOST OF CHRISTMAS PRESENT`) RETURN count(n) > 0 AS node_exists:result:True -2024-10-30 06:47:47,423 - lightrag - INFO - _do_upsert_edge:query: - MATCH (source:`ANTIQUE SCABBARD`) - WITH source - MATCH (target:`GHOST OF CHRISTMAS PRESENT`) - MERGE (source)-[r:DIRECTED]->(target) - SET r += $properties - RETURN r - :result:None -2024-10-30 06:47:47,596 - lightrag - INFO - _check_edge_existence:query:MATCH (a:`CHRISTMAS`)-[r]-(b:`GROCERS'`) RETURN COUNT(r) > 0 AS edgeExists:result:True -2024-10-30 06:47:47,727 - lightrag - INFO - get_edge:query: - MATCH (start:`CHRISTMAS`)-[r]->(end:`GROCERS'`) - RETURN properties(r) as edge_properties - LIMIT 1 - :result:{'keywords': '"retail, festive celebration"', 'weight': 8.0, 'description': '"The Grocers\' organization plays a crucial role during Christmas by providing goods that contribute to the festive spirit."', 'source_id': 'chunk-99b0ec7f7e006561352b5d65e849611d'} -2024-10-30 06:47:47,850 - lightrag - INFO - _check_node_exists:query:MATCH (n:`CHRISTMAS`) RETURN count(n) > 0 AS node_exists:result:True -2024-10-30 06:47:48,020 - lightrag - INFO - _check_node_exists:query:MATCH (n:`GROCERS'`) RETURN count(n) > 0 AS node_exists:result:True -2024-10-30 06:47:48,200 - lightrag - INFO - _do_upsert_edge:query: - MATCH (source:`CHRISTMAS`) - WITH source - MATCH (target:`GROCERS'`) - MERGE (source)-[r:DIRECTED]->(target) - SET r += $properties - RETURN r - :result:None -2024-10-30 06:47:48,386 - lightrag - INFO - _check_edge_existence:query:MATCH (a:`CHRISTMAS`)-[r]-(b:`PEOPLE`) RETURN COUNT(r) > 0 AS edgeExists:result:True -2024-10-30 06:47:48,518 - lightrag - INFO - get_edge:query: - MATCH (start:`CHRISTMAS`)-[r]->(end:`PEOPLE`) - RETURN properties(r) as edge_properties - LIMIT 1 - :result:{'keywords': '"community celebration, joy"', 'weight': 9.0, 'description': '"The People are actively engaged in the celebration of Christmas, demonstrating joy and festivity despite the harsh weather conditions."', 'source_id': 'chunk-99b0ec7f7e006561352b5d65e849611d'} -2024-10-30 06:47:48,639 - lightrag - INFO - _check_node_exists:query:MATCH (n:`CHRISTMAS`) RETURN count(n) > 0 AS node_exists:result:True -2024-10-30 06:47:48,808 - lightrag - INFO - _check_node_exists:query:MATCH (n:`PEOPLE`) RETURN count(n) > 0 AS node_exists:result:True -2024-10-30 06:47:48,984 - lightrag - INFO - _do_upsert_edge:query: - MATCH (source:`CHRISTMAS`) - WITH source - MATCH (target:`PEOPLE`) - MERGE (source)-[r:DIRECTED]->(target) - SET r += $properties - RETURN r - :result:None -2024-10-30 06:47:49,163 - lightrag - INFO - _check_edge_existence:query:MATCH (a:`CHRISTMAS`)-[r]-(b:`GREAT BRITAIN`) RETURN COUNT(r) > 0 AS edgeExists:result:True -2024-10-30 06:47:49,297 - lightrag - INFO - get_edge:query: - MATCH (start:`CHRISTMAS`)-[r]->(end:`GREAT BRITAIN`) - RETURN properties(r) as edge_properties - LIMIT 1 - :result:{'keywords': '"celebration, societal mood"', 'weight': 7.0, 'description': '"The celebration of Christmas brings a cheerful atmosphere to Great Britain despite the gloomy weather conditions."', 'source_id': 'chunk-99b0ec7f7e006561352b5d65e849611d'} -2024-10-30 06:47:49,414 - lightrag - INFO - _check_node_exists:query:MATCH (n:`CHRISTMAS`) RETURN count(n) > 0 AS node_exists:result:True -2024-10-30 06:47:49,581 - lightrag - INFO - _check_node_exists:query:MATCH (n:`GREAT BRITAIN`) RETURN count(n) > 0 AS node_exists:result:True -2024-10-30 06:47:49,759 - lightrag - INFO - _do_upsert_edge:query: - MATCH (source:`CHRISTMAS`) - WITH source - MATCH (target:`GREAT BRITAIN`) - MERGE (source)-[r:DIRECTED]->(target) - SET r += $properties - RETURN r - :result:None -2024-10-30 06:47:49,939 - lightrag - INFO - _check_edge_existence:query:MATCH (a:`SCROOGE`)-[r]-(b:`SPIRIT OF CHRISTMAS PRESENT`) RETURN COUNT(r) > 0 AS edgeExists:result:True -2024-10-30 06:47:50,073 - lightrag - INFO - get_edge:query: - MATCH (start:`SCROOGE`)-[r]->(end:`SPIRIT OF CHRISTMAS PRESENT`) - RETURN properties(r) as edge_properties - LIMIT 1 - :result:{'keywords': '"transformation, generosity"', 'weight': 8.0, 'description': '"Scrooge interacts with the Spirit of Christmas Present, who shows him the joys of Christmas and the importance of generosity."', 'source_id': 'chunk-b0f459f5af1c3a5e0b92cbe4ee48b77b'} -2024-10-30 06:47:50,196 - lightrag - INFO - _check_node_exists:query:MATCH (n:`SCROOGE`) RETURN count(n) > 0 AS node_exists:result:True -2024-10-30 06:47:50,365 - lightrag - INFO - _check_node_exists:query:MATCH (n:`SPIRIT OF CHRISTMAS PRESENT`) RETURN count(n) > 0 AS node_exists:result:True -2024-10-30 06:47:50,541 - lightrag - INFO - _do_upsert_edge:query: - MATCH (source:`SCROOGE`) - WITH source - MATCH (target:`SPIRIT OF CHRISTMAS PRESENT`) - MERGE (source)-[r:DIRECTED]->(target) - SET r += $properties - RETURN r - :result:None -2024-10-30 06:47:50,716 - lightrag - INFO - _check_edge_existence:query:MATCH (a:`BOB CRATCHIT`)-[r]-(b:`SPIRIT OF CHRISTMAS PRESENT`) RETURN COUNT(r) > 0 AS edgeExists:result:True -2024-10-30 06:47:50,847 - lightrag - INFO - get_edge:query: - MATCH (start:`BOB CRATCHIT`)-[r]->(end:`SPIRIT OF CHRISTMAS PRESENT`) - RETURN properties(r) as edge_properties - LIMIT 1 - :result:{'keywords': '"blessing, compassion"', 'weight': 9.0, 'description': '"The Spirit blesses Bob Cratchit’s dwelling, symbolizing the recognition of the Cratchit family\'s struggles and joys on Christmas Day."', 'source_id': 'chunk-b0f459f5af1c3a5e0b92cbe4ee48b77b'} -2024-10-30 06:47:50,975 - lightrag - INFO - _check_node_exists:query:MATCH (n:`BOB CRATCHIT`) RETURN count(n) > 0 AS node_exists:result:True -2024-10-30 06:47:51,143 - lightrag - INFO - _check_node_exists:query:MATCH (n:`SPIRIT OF CHRISTMAS PRESENT`) RETURN count(n) > 0 AS node_exists:result:True -2024-10-30 06:47:51,325 - lightrag - INFO - _do_upsert_edge:query: - MATCH (source:`BOB CRATCHIT`) - WITH source - MATCH (target:`SPIRIT OF CHRISTMAS PRESENT`) - MERGE (source)-[r:DIRECTED]->(target) - SET r += $properties - RETURN r - :result:None -2024-10-30 06:47:51,505 - lightrag - INFO - _check_edge_existence:query:MATCH (a:`BOB CRATCHIT`)-[r]-(b:`THE CRATCHIT HOUSEHOLD`) RETURN COUNT(r) > 0 AS edgeExists:result:True -2024-10-30 06:47:51,641 - lightrag - INFO - get_edge:query: - MATCH (start:`BOB CRATCHIT`)-[r]->(end:`THE CRATCHIT HOUSEHOLD`) - RETURN properties(r) as edge_properties - LIMIT 1 - :result:{'keywords': '"family, support"', 'weight': 8.0, 'description': '"Bob Cratchit leads his family, representing resilience and love in the face of hardship, which is celebrated by the Spirit."', 'source_id': 'chunk-b0f459f5af1c3a5e0b92cbe4ee48b77b'} -2024-10-30 06:47:51,774 - lightrag - INFO - _check_node_exists:query:MATCH (n:`BOB CRATCHIT`) RETURN count(n) > 0 AS node_exists:result:True -2024-10-30 06:47:51,937 - lightrag - INFO - _check_node_exists:query:MATCH (n:`THE CRATCHIT HOUSEHOLD`) RETURN count(n) > 0 AS node_exists:result:True -2024-10-30 06:47:52,120 - lightrag - INFO - _do_upsert_edge:query: - MATCH (source:`BOB CRATCHIT`) - WITH source - MATCH (target:`THE CRATCHIT HOUSEHOLD`) - MERGE (source)-[r:DIRECTED]->(target) - SET r += $properties - RETURN r - :result:None -2024-10-30 06:47:52,296 - lightrag - INFO - _check_edge_existence:query:MATCH (a:`MRS. CRATCHIT`)-[r]-(b:`THE CRATCHIT HOUSEHOLD`) RETURN COUNT(r) > 0 AS edgeExists:result:True -2024-10-30 06:47:52,427 - lightrag - INFO - get_edge:query: - MATCH (start:`MRS. CRATCHIT`)-[r]->(end:`THE CRATCHIT HOUSEHOLD`) - RETURN properties(r) as edge_properties - LIMIT 1 - :result:{'keywords': '"dedication, familial love"', 'weight': 7.0, 'description': '"Mrs. Cratchit contributes to the family’s efforts to celebrate Christmas, demonstrating dedication and caring."', 'source_id': 'chunk-b0f459f5af1c3a5e0b92cbe4ee48b77b'} -2024-10-30 06:47:52,557 - lightrag - INFO - _check_node_exists:query:MATCH (n:`MRS. CRATCHIT`) RETURN count(n) > 0 AS node_exists:result:True -2024-10-30 06:47:52,719 - lightrag - INFO - _check_node_exists:query:MATCH (n:`THE CRATCHIT HOUSEHOLD`) RETURN count(n) > 0 AS node_exists:result:True -2024-10-30 06:47:52,891 - lightrag - INFO - _do_upsert_edge:query: - MATCH (source:`MRS. CRATCHIT`) - WITH source - MATCH (target:`THE CRATCHIT HOUSEHOLD`) - MERGE (source)-[r:DIRECTED]->(target) - SET r += $properties - RETURN r - :result:None -2024-10-30 06:47:53,072 - lightrag - INFO - _check_edge_existence:query:MATCH (a:`BELINDA CRATCHIT`)-[r]-(b:`THE CRATCHIT HOUSEHOLD`) RETURN COUNT(r) > 0 AS edgeExists:result:True -2024-10-30 06:47:53,207 - lightrag - INFO - get_edge:query: - MATCH (start:`BELINDA CRATCHIT`)-[r]->(end:`THE CRATCHIT HOUSEHOLD`) - RETURN properties(r) as edge_properties - LIMIT 1 - :result:{'keywords': '"cooperation, family bonds"', 'weight': 6.0, 'description': '"Belinda plays an active role in the household duties, reinforcing the theme of cooperation and togetherness."', 'source_id': 'chunk-b0f459f5af1c3a5e0b92cbe4ee48b77b'} -2024-10-30 06:47:53,339 - lightrag - INFO - _check_node_exists:query:MATCH (n:`BELINDA CRATCHIT`) RETURN count(n) > 0 AS node_exists:result:True -2024-10-30 06:47:53,509 - lightrag - INFO - _check_node_exists:query:MATCH (n:`THE CRATCHIT HOUSEHOLD`) RETURN count(n) > 0 AS node_exists:result:True -2024-10-30 06:47:53,686 - lightrag - INFO - _do_upsert_edge:query: - MATCH (source:`BELINDA CRATCHIT`) - WITH source - MATCH (target:`THE CRATCHIT HOUSEHOLD`) - MERGE (source)-[r:DIRECTED]->(target) - SET r += $properties - RETURN r - :result:None -2024-10-30 06:47:53,865 - lightrag - INFO - _check_edge_existence:query:MATCH (a:`MRS. CRATCHIT`)-[r]-(b:`PETER CRATCHIT`) RETURN COUNT(r) > 0 AS edgeExists:result:True -2024-10-30 06:47:53,997 - lightrag - INFO - get_edge:query: - MATCH (start:`MRS. CRATCHIT`)-[r]->(end:`PETER CRATCHIT`) - RETURN properties(r) as edge_properties - LIMIT 1 - :result:{'keywords': '"family participation, dynamic"', 'weight': 7.0, 'description': '"Peter Cratchit assists his mother, reflecting the family dynamic and contribution of children during festive preparations."', 'source_id': 'chunk-b0f459f5af1c3a5e0b92cbe4ee48b77b'} -2024-10-30 06:47:54,127 - lightrag - INFO - _check_node_exists:query:MATCH (n:`MRS. CRATCHIT`) RETURN count(n) > 0 AS node_exists:result:True -2024-10-30 06:47:54,293 - lightrag - INFO - _check_node_exists:query:MATCH (n:`PETER CRATCHIT`) RETURN count(n) > 0 AS node_exists:result:True -2024-10-30 06:47:54,481 - lightrag - INFO - _do_upsert_edge:query: - MATCH (source:`MRS. CRATCHIT`) - WITH source - MATCH (target:`PETER CRATCHIT`) - MERGE (source)-[r:DIRECTED]->(target) - SET r += $properties - RETURN r - :result:None -2024-10-30 06:47:54,656 - lightrag - INFO - _check_edge_existence:query:MATCH (a:`THE GROCER`)-[r]-(b:`THE PEOPLE`) RETURN COUNT(r) > 0 AS edgeExists:result:True -2024-10-30 06:47:54,789 - lightrag - INFO - get_edge:query: - MATCH (start:`THE GROCER`)-[r]->(end:`THE PEOPLE`) - RETURN properties(r) as edge_properties - LIMIT 1 - :result:{'keywords': '"community spirit, warmth"', 'weight': 8.0, 'description': '"The Grocer interacts warmly with The People, fostering a sense of community and celebration during Christmas."', 'source_id': 'chunk-b0f459f5af1c3a5e0b92cbe4ee48b77b'} -2024-10-30 06:47:54,920 - lightrag - INFO - _check_node_exists:query:MATCH (n:`THE GROCER`) RETURN count(n) > 0 AS node_exists:result:True -2024-10-30 06:47:55,089 - lightrag - INFO - _check_node_exists:query:MATCH (n:`THE PEOPLE`) RETURN count(n) > 0 AS node_exists:result:True -2024-10-30 06:47:55,272 - lightrag - INFO - _do_upsert_edge:query: - MATCH (source:`THE GROCER`) - WITH source - MATCH (target:`THE PEOPLE`) - MERGE (source)-[r:DIRECTED]->(target) - SET r += $properties - RETURN r - :result:None -2024-10-30 06:47:55,453 - lightrag - INFO - _check_edge_existence:query:MATCH (a:`THE CRATCHIT HOUSEHOLD`)-[r]-(b:`THE SPIRIT OF CHRISTMAS PRESENT`) RETURN COUNT(r) > 0 AS edgeExists:result:True -2024-10-30 06:47:55,588 - lightrag - INFO - get_edge:query: - MATCH (start:`THE CRATCHIT HOUSEHOLD`)-[r]->(end:`THE SPIRIT OF CHRISTMAS PRESENT`) - RETURN properties(r) as edge_properties - LIMIT 1 - :result:{'keywords': '"observation, blessing"', 'weight': 9.0, 'description': '"The Spirit observes and blesses The Cratchit Household, showcasing the joy and struggles of families during Christmas."', 'source_id': 'chunk-b0f459f5af1c3a5e0b92cbe4ee48b77b'} -2024-10-30 06:47:55,706 - lightrag - INFO - _check_node_exists:query:MATCH (n:`THE CRATCHIT HOUSEHOLD`) RETURN count(n) > 0 AS node_exists:result:True -2024-10-30 06:47:55,875 - lightrag - INFO - _check_node_exists:query:MATCH (n:`THE SPIRIT OF CHRISTMAS PRESENT`) RETURN count(n) > 0 AS node_exists:result:True -2024-10-30 06:47:56,065 - lightrag - INFO - _do_upsert_edge:query: - MATCH (source:`THE CRATCHIT HOUSEHOLD`) - WITH source - MATCH (target:`THE SPIRIT OF CHRISTMAS PRESENT`) - MERGE (source)-[r:DIRECTED]->(target) - SET r += $properties - RETURN r - :result:None -2024-10-30 06:47:56,245 - lightrag - INFO - _check_edge_existence:query:MATCH (a:`THE BAKER'S SHOP`)-[r]-(b:`THE PEOPLE`) RETURN COUNT(r) > 0 AS edgeExists:result:True -2024-10-30 06:47:56,382 - lightrag - INFO - get_edge:query: - MATCH (start:`THE BAKER'S SHOP`)-[r]->(end:`THE PEOPLE`) - RETURN properties(r) as edge_properties - LIMIT 1 - :result:{'keywords': '"community, gathering place"', 'weight': 7.0, 'description': '"The Baker\'s Shop serves as a gathering place for The People, symbolizing community and shared meals on Christmas Day."', 'source_id': 'chunk-b0f459f5af1c3a5e0b92cbe4ee48b77b'} -2024-10-30 06:47:56,517 - lightrag - INFO - _check_node_exists:query:MATCH (n:`THE BAKER'S SHOP`) RETURN count(n) > 0 AS node_exists:result:True -2024-10-30 06:47:56,683 - lightrag - INFO - _check_node_exists:query:MATCH (n:`THE PEOPLE`) RETURN count(n) > 0 AS node_exists:result:True -2024-10-30 06:47:56,867 - lightrag - INFO - _do_upsert_edge:query: - MATCH (source:`THE BAKER'S SHOP`) - WITH source - MATCH (target:`THE PEOPLE`) - MERGE (source)-[r:DIRECTED]->(target) - SET r += $properties - RETURN r - :result:None -2024-10-30 06:47:57,073 - lightrag - INFO - _check_edge_existence:query:MATCH (a:`THE SPIRIT OF CHRISTMAS PRESENT`)-[r]-(b:`THE STREETS`) RETURN COUNT(r) > 0 AS edgeExists:result:True -2024-10-30 06:47:57,204 - lightrag - INFO - get_edge:query: - MATCH (start:`THE SPIRIT OF CHRISTMAS PRESENT`)-[r]->(end:`THE STREETS`) - RETURN properties(r) as edge_properties - LIMIT 1 - :result:{'keywords': '"guidance, social awareness"', 'weight': 8.0, 'description': '"The Spirit guides Scrooge through The Streets, revealing the festive nature and challenges faced by the townsfolk."', 'source_id': 'chunk-b0f459f5af1c3a5e0b92cbe4ee48b77b'} -2024-10-30 06:47:57,330 - lightrag - INFO - _check_node_exists:query:MATCH (n:`THE SPIRIT OF CHRISTMAS PRESENT`) RETURN count(n) > 0 AS node_exists:result:True -2024-10-30 06:47:57,502 - lightrag - INFO - _check_node_exists:query:MATCH (n:`THE STREETS`) RETURN count(n) > 0 AS node_exists:result:True -2024-10-30 06:47:57,685 - lightrag - INFO - _do_upsert_edge:query: - MATCH (source:`THE SPIRIT OF CHRISTMAS PRESENT`) - WITH source - MATCH (target:`THE STREETS`) - MERGE (source)-[r:DIRECTED]->(target) - SET r += $properties - RETURN r - :result:None -2024-10-30 06:47:57,861 - lightrag - INFO - _check_edge_existence:query:MATCH (a:`THE CRATCHIT HOUSEHOLD`)-[r]-(b:`THE SUBURBS`) RETURN COUNT(r) > 0 AS edgeExists:result:True -2024-10-30 06:47:58,016 - lightrag - INFO - get_edge:query: - MATCH (start:`THE CRATCHIT HOUSEHOLD`)-[r]->(end:`THE SUBURBS`) - RETURN properties(r) as edge_properties - LIMIT 1 - :result:{'keywords': '"social commentary, inequality"', 'weight': 6.0, 'description': '"The Suburbs illustrate the challenges faced by families like The Cratchit Household, emphasizing social inequality."', 'source_id': 'chunk-b0f459f5af1c3a5e0b92cbe4ee48b77b'} -2024-10-30 06:47:58,134 - lightrag - INFO - _check_node_exists:query:MATCH (n:`THE CRATCHIT HOUSEHOLD`) RETURN count(n) > 0 AS node_exists:result:True -2024-10-30 06:47:58,301 - lightrag - INFO - _check_node_exists:query:MATCH (n:`THE SUBURBS`) RETURN count(n) > 0 AS node_exists:result:True -2024-10-30 06:47:58,481 - lightrag - INFO - _do_upsert_edge:query: - MATCH (source:`THE CRATCHIT HOUSEHOLD`) - WITH source - MATCH (target:`THE SUBURBS`) - MERGE (source)-[r:DIRECTED]->(target) - SET r += $properties - RETURN r - :result:None -2024-10-30 06:47:58,654 - lightrag - INFO - _check_edge_existence:query:MATCH (a:`DINNERS`)-[r]-(b:`THE CRATCHIT HOUSEHOLD`) RETURN COUNT(r) > 0 AS edgeExists:result:True -2024-10-30 06:47:58,789 - lightrag - INFO - get_edge:query: - MATCH (start:`DINNERS`)-[r]->(end:`THE CRATCHIT HOUSEHOLD`) - RETURN properties(r) as edge_properties - LIMIT 1 - :result:{'keywords': '"togetherness, familial love"', 'weight': 8.0, 'description': '"The dinners prepared by The Cratchit Household signify love and togetherness, reflecting on the importance of family meals during the holidays."', 'source_id': 'chunk-b0f459f5af1c3a5e0b92cbe4ee48b77b'} -2024-10-30 06:47:58,916 - lightrag - INFO - _check_node_exists:query:MATCH (n:`DINNERS`) RETURN count(n) > 0 AS node_exists:result:True -2024-10-30 06:47:59,075 - lightrag - INFO - _check_node_exists:query:MATCH (n:`THE CRATCHIT HOUSEHOLD`) RETURN count(n) > 0 AS node_exists:result:True -2024-10-30 06:47:59,255 - lightrag - INFO - _do_upsert_edge:query: - MATCH (source:`DINNERS`) - WITH source - MATCH (target:`THE CRATCHIT HOUSEHOLD`) - MERGE (source)-[r:DIRECTED]->(target) - SET r += $properties - RETURN r - :result:None -2024-10-30 06:47:59,436 - lightrag - INFO - _check_edge_existence:query:MATCH (a:`BOB CRATCHIT`)-[r]-(b:`MARTHA`) RETURN COUNT(r) > 0 AS edgeExists:result:True -2024-10-30 06:47:59,572 - lightrag - INFO - get_edge:query: - MATCH (start:`BOB CRATCHIT`)-[r]->(end:`MARTHA`) - RETURN properties(r) as edge_properties - LIMIT 1 - :result:{'keywords': '"family reunion, surprise"', 'weight': 8.0, 'description': '"Martha surprises Bob Cratchit by coming home late for Christmas dinner, showing the family\'s love and warmth in reunions."', 'source_id': 'chunk-7e2e7ebcc19a53b399dc03aded4743e7'} -2024-10-30 06:47:59,700 - lightrag - INFO - _check_node_exists:query:MATCH (n:`BOB CRATCHIT`) RETURN count(n) > 0 AS node_exists:result:True -2024-10-30 06:47:59,863 - lightrag - INFO - _check_node_exists:query:MATCH (n:`MARTHA`) RETURN count(n) > 0 AS node_exists:result:True -2024-10-30 06:48:00,043 - lightrag - INFO - _do_upsert_edge:query: - MATCH (source:`BOB CRATCHIT`) - WITH source - MATCH (target:`MARTHA`) - MERGE (source)-[r:DIRECTED]->(target) - SET r += $properties - RETURN r - :result:None -2024-10-30 06:48:00,219 - lightrag - INFO - _check_edge_existence:query:MATCH (a:`CRATCHIT CHRISTMAS DINNER`)-[r]-(b:`CRATCHIT FAMILY`) RETURN COUNT(r) > 0 AS edgeExists:result:True -2024-10-30 06:48:00,353 - lightrag - INFO - get_edge:query: - MATCH (start:`CRATCHIT CHRISTMAS DINNER`)-[r]->(end:`CRATCHIT FAMILY`) - RETURN properties(r) as edge_properties - LIMIT 1 - :result:{'keywords': '"family celebration, togetherness"', 'weight': 10.0, 'description': '"The Cratchit Family comes together to celebrate Christmas dinner, encapsulating their unity and joyful spirit during the holiday season."', 'source_id': 'chunk-7e2e7ebcc19a53b399dc03aded4743e7'} -2024-10-30 06:48:00,481 - lightrag - INFO - _check_node_exists:query:MATCH (n:`CRATCHIT CHRISTMAS DINNER`) RETURN count(n) > 0 AS node_exists:result:True -2024-10-30 06:48:00,649 - lightrag - INFO - _check_node_exists:query:MATCH (n:`CRATCHIT FAMILY`) RETURN count(n) > 0 AS node_exists:result:True -2024-10-30 06:48:00,822 - lightrag - INFO - _do_upsert_edge:query: - MATCH (source:`CRATCHIT CHRISTMAS DINNER`) - WITH source - MATCH (target:`CRATCHIT FAMILY`) - MERGE (source)-[r:DIRECTED]->(target) - SET r += $properties - RETURN r - :result:None -2024-10-30 06:48:01,002 - lightrag - INFO - _check_edge_existence:query:MATCH (a:`CRATCHIT FAMILY`)-[r]-(b:`TINY TIM`) RETURN COUNT(r) > 0 AS edgeExists:result:True -2024-10-30 06:48:01,131 - lightrag - INFO - get_edge:query: - MATCH (start:`CRATCHIT FAMILY`)-[r]->(end:`TINY TIM`) - RETURN properties(r) as edge_properties - LIMIT 1 - :result:{'keywords': '"family bond, celebration""family ties, innocence"', 'weight': 15.0, 'description': '"Tiny Tim\'s presence in the Cratchit family adds to their joy and highlights the family\'s spirit of togetherness during Christmas.""Tiny Tim, as part of the Cratchit Family, represents the innocence and vulnerability of the family, affecting their dynamics during Christmas."', 'source_id': 'chunk-7e2e7ebcc19a53b399dc03aded4743e7chunk-19d72c57ae3408758b18d2568e86dc6b'} -2024-10-30 06:48:01,262 - lightrag - INFO - _check_node_exists:query:MATCH (n:`CRATCHIT FAMILY`) RETURN count(n) > 0 AS node_exists:result:True -2024-10-30 06:48:01,432 - lightrag - INFO - _check_node_exists:query:MATCH (n:`TINY TIM`) RETURN count(n) > 0 AS node_exists:result:True -2024-10-30 06:48:01,613 - lightrag - INFO - _do_upsert_edge:query: - MATCH (source:`CRATCHIT FAMILY`) - WITH source - MATCH (target:`TINY TIM`) - MERGE (source)-[r:DIRECTED]->(target) - SET r += $properties - RETURN r - :result:None -2024-10-30 06:48:01,787 - lightrag - INFO - _check_edge_existence:query:MATCH (a:`CRATCHIT CHRISTMAS DINNER`)-[r]-(b:`MRS. CRATCHIT`) RETURN COUNT(r) > 0 AS edgeExists:result:True -2024-10-30 06:48:01,918 - lightrag - INFO - get_edge:query: - MATCH (start:`CRATCHIT CHRISTMAS DINNER`)-[r]->(end:`MRS. CRATCHIT`) - RETURN properties(r) as edge_properties - LIMIT 1 - :result:{'keywords': '"family dedication, celebration"', 'weight': 9.0, 'description': '"Mrs. Cratchit plays a vital role in organizing and preparing the Christmas dinner, showcasing her dedication to the family."', 'source_id': 'chunk-7e2e7ebcc19a53b399dc03aded4743e7'} -2024-10-30 06:48:02,047 - lightrag - INFO - _check_node_exists:query:MATCH (n:`CRATCHIT CHRISTMAS DINNER`) RETURN count(n) > 0 AS node_exists:result:True -2024-10-30 06:48:02,211 - lightrag - INFO - _check_node_exists:query:MATCH (n:`MRS. CRATCHIT`) RETURN count(n) > 0 AS node_exists:result:True -2024-10-30 06:48:02,387 - lightrag - INFO - _do_upsert_edge:query: - MATCH (source:`CRATCHIT CHRISTMAS DINNER`) - WITH source - MATCH (target:`MRS. CRATCHIT`) - MERGE (source)-[r:DIRECTED]->(target) - SET r += $properties - RETURN r - :result:None -2024-10-30 06:48:02,560 - lightrag - INFO - _check_edge_existence:query:MATCH (a:`CRATCHIT CHRISTMAS DINNER`)-[r]-(b:`THE GOOSE`) RETURN COUNT(r) > 0 AS edgeExists:result:True -2024-10-30 06:48:02,692 - lightrag - INFO - get_edge:query: - MATCH (start:`CRATCHIT CHRISTMAS DINNER`)-[r]->(end:`THE GOOSE`) - RETURN properties(r) as edge_properties - LIMIT 1 - :result:{'keywords': '"central dish, festive tradition"', 'weight': 10.0, 'description': '"The Goose is the centerpiece of the Cratchit Christmas dinner, symbolizing the family\'s festive spirit and shared joy."', 'source_id': 'chunk-7e2e7ebcc19a53b399dc03aded4743e7'} -2024-10-30 06:48:02,817 - lightrag - INFO - _check_node_exists:query:MATCH (n:`CRATCHIT CHRISTMAS DINNER`) RETURN count(n) > 0 AS node_exists:result:True -2024-10-30 06:48:02,983 - lightrag - INFO - _check_node_exists:query:MATCH (n:`THE GOOSE`) RETURN count(n) > 0 AS node_exists:result:True -2024-10-30 06:48:03,160 - lightrag - INFO - _do_upsert_edge:query: - MATCH (source:`CRATCHIT CHRISTMAS DINNER`) - WITH source - MATCH (target:`THE GOOSE`) - MERGE (source)-[r:DIRECTED]->(target) - SET r += $properties - RETURN r - :result:None -2024-10-30 06:48:03,334 - lightrag - INFO - _check_edge_existence:query:MATCH (a:`THE YOUNG CRATCHITS`)-[r]-(b:`TINY TIM`) RETURN COUNT(r) > 0 AS edgeExists:result:True -2024-10-30 06:48:03,469 - lightrag - INFO - get_edge:query: - MATCH (start:`THE YOUNG CRATCHITS`)-[r]->(end:`TINY TIM`) - RETURN properties(r) as edge_properties - LIMIT 1 - :result:{'keywords': '"sibling bond, family dynamics"', 'weight': 8.0, 'description': '"The Young Cratchits enthusiastically engage with Tiny Tim during the celebrations, highlighting the loving dynamics of the Cratchit family."', 'source_id': 'chunk-7e2e7ebcc19a53b399dc03aded4743e7'} -2024-10-30 06:48:03,600 - lightrag - INFO - _check_node_exists:query:MATCH (n:`THE YOUNG CRATCHITS`) RETURN count(n) > 0 AS node_exists:result:True -2024-10-30 06:48:03,769 - lightrag - INFO - _check_node_exists:query:MATCH (n:`TINY TIM`) RETURN count(n) > 0 AS node_exists:result:True -2024-10-30 06:48:03,943 - lightrag - INFO - _do_upsert_edge:query: - MATCH (source:`THE YOUNG CRATCHITS`) - WITH source - MATCH (target:`TINY TIM`) - MERGE (source)-[r:DIRECTED]->(target) - SET r += $properties - RETURN r - :result:None -2024-10-30 06:48:04,117 - lightrag - INFO - _check_edge_existence:query:MATCH (a:`THE FIRE`)-[r]-(b:`TINY TIM`) RETURN COUNT(r) > 0 AS edgeExists:result:True -2024-10-30 06:48:04,252 - lightrag - INFO - get_edge:query: - MATCH (start:`THE FIRE`)-[r]->(end:`TINY TIM`) - RETURN properties(r) as edge_properties - LIMIT 1 - :result:{'keywords': '"warmth, family support"', 'weight': 8.0, 'description': '"Tiny Tim is seen being supported by the family at the warmth of the Fire, which adds comfort and cheer to their gathering."', 'source_id': 'chunk-7e2e7ebcc19a53b399dc03aded4743e7'} -2024-10-30 06:48:04,382 - lightrag - INFO - _check_node_exists:query:MATCH (n:`THE FIRE`) RETURN count(n) > 0 AS node_exists:result:True -2024-10-30 06:48:04,544 - lightrag - INFO - _check_node_exists:query:MATCH (n:`TINY TIM`) RETURN count(n) > 0 AS node_exists:result:True -2024-10-30 06:48:04,724 - lightrag - INFO - _do_upsert_edge:query: - MATCH (source:`THE FIRE`) - WITH source - MATCH (target:`TINY TIM`) - MERGE (source)-[r:DIRECTED]->(target) - SET r += $properties - RETURN r - :result:None -2024-10-30 06:48:04,900 - lightrag - INFO - _check_edge_existence:query:MATCH (a:`CRATCHIT CHRISTMAS DINNER`)-[r]-(b:`THE PUDDING`) RETURN COUNT(r) > 0 AS edgeExists:result:True -2024-10-30 06:48:05,032 - lightrag - INFO - get_edge:query: - MATCH (start:`CRATCHIT CHRISTMAS DINNER`)-[r]->(end:`THE PUDDING`) - RETURN properties(r) as edge_properties - LIMIT 1 - :result:{'keywords': '"traditional dish, celebration"', 'weight': 9.0, 'description': '"The Pudding is an important dish that signals the culmination of the Cratchit Christmas dinner, emphasizing the joy and festivity of the occasion."', 'source_id': 'chunk-7e2e7ebcc19a53b399dc03aded4743e7'} -2024-10-30 06:48:05,152 - lightrag - INFO - _check_node_exists:query:MATCH (n:`CRATCHIT CHRISTMAS DINNER`) RETURN count(n) > 0 AS node_exists:result:True -2024-10-30 06:48:05,328 - lightrag - INFO - _check_node_exists:query:MATCH (n:`THE PUDDING`) RETURN count(n) > 0 AS node_exists:result:True -2024-10-30 06:48:05,508 - lightrag - INFO - _do_upsert_edge:query: - MATCH (source:`CRATCHIT CHRISTMAS DINNER`) - WITH source - MATCH (target:`THE PUDDING`) - MERGE (source)-[r:DIRECTED]->(target) - SET r += $properties - RETURN r - :result:None -2024-10-30 06:48:05,683 - lightrag - INFO - _check_edge_existence:query:MATCH (a:`MRS. CRATCHIT`)-[r]-(b:`THE DINNER`) RETURN COUNT(r) > 0 AS edgeExists:result:True -2024-10-30 06:48:05,816 - lightrag - INFO - get_edge:query: - MATCH (start:`MRS. CRATCHIT`)-[r]->(end:`THE DINNER`) - RETURN properties(r) as edge_properties - LIMIT 1 - :result:{'keywords': '"food preparation, holiday tradition"', 'weight': 9.0, 'description': '"Mrs. Cratchit prepares the dinner with pride, particularly the pudding, making it a highlight of the family\'s Christmas celebration."', 'source_id': 'chunk-503f0bfa5453467c7c61d160a3540eca'} -2024-10-30 06:48:05,941 - lightrag - INFO - _check_node_exists:query:MATCH (n:`MRS. CRATCHIT`) RETURN count(n) > 0 AS node_exists:result:True -2024-10-30 06:48:06,106 - lightrag - INFO - _check_node_exists:query:MATCH (n:`THE DINNER`) RETURN count(n) > 0 AS node_exists:result:True -2024-10-30 06:48:06,284 - lightrag - INFO - _do_upsert_edge:query: - MATCH (source:`MRS. CRATCHIT`) - WITH source - MATCH (target:`THE DINNER`) - MERGE (source)-[r:DIRECTED]->(target) - SET r += $properties - RETURN r - :result:None -2024-10-30 06:48:06,465 - lightrag - INFO - _check_edge_existence:query:MATCH (a:`THE CRATCHIT FAMILY`)-[r]-(b:`THE DINNER`) RETURN COUNT(r) > 0 AS edgeExists:result:True -2024-10-30 06:48:06,595 - lightrag - INFO - get_edge:query: - MATCH (start:`THE CRATCHIT FAMILY`)-[r]->(end:`THE DINNER`) - RETURN properties(r) as edge_properties - LIMIT 1 - :result:{'keywords': '"family unity, celebration"', 'weight': 10.0, 'description': '"The Cratchit Family comes together for The Dinner, showcasing their unity and holiday spirit, despite their modest means."', 'source_id': 'chunk-503f0bfa5453467c7c61d160a3540eca'} -2024-10-30 06:48:06,726 - lightrag - INFO - _check_node_exists:query:MATCH (n:`THE CRATCHIT FAMILY`) RETURN count(n) > 0 AS node_exists:result:True -2024-10-30 06:48:06,884 - lightrag - INFO - _check_node_exists:query:MATCH (n:`THE DINNER`) RETURN count(n) > 0 AS node_exists:result:True -2024-10-30 06:48:07,063 - lightrag - INFO - _do_upsert_edge:query: - MATCH (source:`THE CRATCHIT FAMILY`) - WITH source - MATCH (target:`THE DINNER`) - MERGE (source)-[r:DIRECTED]->(target) - SET r += $properties - RETURN r - :result:None -2024-10-30 06:48:07,590 - lightrag - INFO - _check_edge_existence:query:MATCH (a:`SCROOGE`)-[r]-(b:`TINY TIM`) RETURN COUNT(r) > 0 AS edgeExists:result:True -2024-10-30 06:48:07,718 - lightrag - INFO - get_edge:query: - MATCH (start:`SCROOGE`)-[r]->(end:`TINY TIM`) - RETURN properties(r) as edge_properties - LIMIT 1 - :result:{'keywords': '"personal transformation, empathy""transformation, mentorship""transformation, redemption"', 'weight': 26.0, 'description': '"Scrooge becomes a father figure to Tiny Tim, showing a deep commitment to his well-being after realizing the importance of family and caring for others.""Scrooge reflects on Tiny Tim and expresses concern for his wellbeing, indicating a pivotal change in his character and attitudes towards the less fortunate.""Scrooge\'s transformation is influenced by his reflections on the impact of Tiny Tim\'s life and death."', 'source_id': 'chunk-94bea83e7153fc2064aa382b494936a1chunk-503f0bfa5453467c7c61d160a3540ecachunk-91572b3cd42786ba4cb2f180ca25cbf4'} -2024-10-30 06:48:07,834 - lightrag - INFO - _check_node_exists:query:MATCH (n:`SCROOGE`) RETURN count(n) > 0 AS node_exists:result:True -2024-10-30 06:48:07,990 - lightrag - INFO - _check_node_exists:query:MATCH (n:`TINY TIM`) RETURN count(n) > 0 AS node_exists:result:True -2024-10-30 06:48:08,195 - lightrag - INFO - _do_upsert_edge:query: - MATCH (source:`SCROOGE`) - WITH source - MATCH (target:`TINY TIM`) - MERGE (source)-[r:DIRECTED]->(target) - SET r += $properties - RETURN r - :result:None -2024-10-30 06:48:08,368 - lightrag - INFO - _check_edge_existence:query:MATCH (a:`THE DINNER`)-[r]-(b:`THE GOOSE`) RETURN COUNT(r) > 0 AS edgeExists:result:True -2024-10-30 06:48:08,499 - lightrag - INFO - get_edge:query: - MATCH (start:`THE DINNER`)-[r]->(end:`THE GOOSE`) - RETURN properties(r) as edge_properties - LIMIT 1 - :result:{'keywords': '"holiday meal, celebration"', 'weight': 8.0, 'description': '"The Goose is a significant part of The Dinner, representing the main course that brings joy and satisfaction to the Cratchit family."', 'source_id': 'chunk-503f0bfa5453467c7c61d160a3540eca'} -2024-10-30 06:48:08,620 - lightrag - INFO - _check_node_exists:query:MATCH (n:`THE DINNER`) RETURN count(n) > 0 AS node_exists:result:True -2024-10-30 06:48:08,787 - lightrag - INFO - _check_node_exists:query:MATCH (n:`THE GOOSE`) RETURN count(n) > 0 AS node_exists:result:True -2024-10-30 06:48:08,963 - lightrag - INFO - _do_upsert_edge:query: - MATCH (source:`THE DINNER`) - WITH source - MATCH (target:`THE GOOSE`) - MERGE (source)-[r:DIRECTED]->(target) - SET r += $properties - RETURN r - :result:None -2024-10-30 06:48:09,138 - lightrag - INFO - _check_edge_existence:query:MATCH (a:`THE DINNER`)-[r]-(b:`THE PUDDING`) RETURN COUNT(r) > 0 AS edgeExists:result:True -2024-10-30 06:48:09,268 - lightrag - INFO - get_edge:query: - MATCH (start:`THE DINNER`)-[r]->(end:`THE PUDDING`) - RETURN properties(r) as edge_properties - LIMIT 1 - :result:{'keywords': '"dessert, holiday tradition"', 'weight': 9.0, 'description': '"The Pudding is a highlight of The Dinner, showcasing Mrs. Cratchit\'s skill and adding to the festive atmosphere."', 'source_id': 'chunk-503f0bfa5453467c7c61d160a3540eca'} -2024-10-30 06:48:09,386 - lightrag - INFO - _check_node_exists:query:MATCH (n:`THE DINNER`) RETURN count(n) > 0 AS node_exists:result:True -2024-10-30 06:48:09,562 - lightrag - INFO - _check_node_exists:query:MATCH (n:`THE PUDDING`) RETURN count(n) > 0 AS node_exists:result:True -2024-10-30 06:48:09,746 - lightrag - INFO - _do_upsert_edge:query: - MATCH (source:`THE DINNER`) - WITH source - MATCH (target:`THE PUDDING`) - MERGE (source)-[r:DIRECTED]->(target) - SET r += $properties - RETURN r - :result:None -2024-10-30 06:48:09,920 - lightrag - INFO - _check_edge_existence:query:MATCH (a:`MISS BELINDA`)-[r]-(b:`THE DINNER`) RETURN COUNT(r) > 0 AS edgeExists:result:True -2024-10-30 06:48:10,053 - lightrag - INFO - get_edge:query: - MATCH (start:`MISS BELINDA`)-[r]->(end:`THE DINNER`) - RETURN properties(r) as edge_properties - LIMIT 1 - :result:{'keywords': '"family contribution, teamwork"', 'weight': 7.0, 'description': '"Miss Belinda\'s role in changing the plates represents her contribution to the family effort in celebrating The Dinner."', 'source_id': 'chunk-503f0bfa5453467c7c61d160a3540eca'} -2024-10-30 06:48:10,181 - lightrag - INFO - _check_node_exists:query:MATCH (n:`MISS BELINDA`) RETURN count(n) > 0 AS node_exists:result:True -2024-10-30 06:48:10,337 - lightrag - INFO - _check_node_exists:query:MATCH (n:`THE DINNER`) RETURN count(n) > 0 AS node_exists:result:True -2024-10-30 06:48:10,514 - lightrag - INFO - _do_upsert_edge:query: - MATCH (source:`MISS BELINDA`) - WITH source - MATCH (target:`THE DINNER`) - MERGE (source)-[r:DIRECTED]->(target) - SET r += $properties - RETURN r - :result:None -2024-10-30 06:48:10,693 - lightrag - INFO - _check_edge_existence:query:MATCH (a:`CHRISTMAS`)-[r]-(b:`THE DINNER`) RETURN COUNT(r) > 0 AS edgeExists:result:True -2024-10-30 06:48:10,830 - lightrag - INFO - get_edge:query: - MATCH (start:`CHRISTMAS`)-[r]->(end:`THE DINNER`) - RETURN properties(r) as edge_properties - LIMIT 1 - :result:{'keywords': '"festive occasion, celebration"', 'weight': 10.0, 'description': '"The Dinner is part of the Christmas celebration, reflecting the traditions and spirit associated with this holiday."', 'source_id': 'chunk-503f0bfa5453467c7c61d160a3540eca'} -2024-10-30 06:48:10,947 - lightrag - INFO - _check_node_exists:query:MATCH (n:`CHRISTMAS`) RETURN count(n) > 0 AS node_exists:result:True -2024-10-30 06:48:11,103 - lightrag - INFO - _check_node_exists:query:MATCH (n:`THE DINNER`) RETURN count(n) > 0 AS node_exists:result:True -2024-10-30 06:48:11,286 - lightrag - INFO - _do_upsert_edge:query: - MATCH (source:`CHRISTMAS`) - WITH source - MATCH (target:`THE DINNER`) - MERGE (source)-[r:DIRECTED]->(target) - SET r += $properties - RETURN r - :result:None -2024-10-30 06:48:11,474 - lightrag - INFO - _check_edge_existence:query:MATCH (a:`SCROOGE`)-[r]-(b:`THE FOUNDER OF THE FEAST`) RETURN COUNT(r) > 0 AS edgeExists:result:True -2024-10-30 06:48:11,608 - lightrag - INFO - get_edge:query: - MATCH (start:`SCROOGE`)-[r]->(end:`THE FOUNDER OF THE FEAST`) - RETURN properties(r) as edge_properties - LIMIT 1 - :result:{'keywords': '"gratitude, recognition"', 'weight': 8.0, 'description': '"Scrooge\'s contribution as The Founder of the Feast is acknowledged by Bob, highlighting the connection between Scrooge and the Cratchit family\'s Christmas dinner."', 'source_id': 'chunk-503f0bfa5453467c7c61d160a3540eca'} -2024-10-30 06:48:11,728 - lightrag - INFO - _check_node_exists:query:MATCH (n:`SCROOGE`) RETURN count(n) > 0 AS node_exists:result:True -2024-10-30 06:48:11,896 - lightrag - INFO - _check_node_exists:query:MATCH (n:`THE FOUNDER OF THE FEAST`) RETURN count(n) > 0 AS node_exists:result:True -2024-10-30 06:48:12,075 - lightrag - INFO - _do_upsert_edge:query: - MATCH (source:`SCROOGE`) - WITH source - MATCH (target:`THE FOUNDER OF THE FEAST`) - MERGE (source)-[r:DIRECTED]->(target) - SET r += $properties - RETURN r - :result:None -2024-10-30 06:48:12,249 - lightrag - INFO - _check_edge_existence:query:MATCH (a:`MRS. CRATCHIT`)-[r]-(b:`SCROOGE`) RETURN COUNT(r) > 0 AS edgeExists:result:True -2024-10-30 06:48:12,382 - lightrag - INFO - get_edge:query: - MATCH (start:`MRS. CRATCHIT`)-[r]->(end:`SCROOGE`) - RETURN properties(r) as edge_properties - LIMIT 1 - :result:{'keywords': '"criticism, emotional conflict"', 'weight': 8.0, 'description': '"Mrs. Cratchit openly criticizes Scrooge during the Christmas dinner, expressing her feelings towards him and emphasizing the family\'s resentment."', 'source_id': 'chunk-19d72c57ae3408758b18d2568e86dc6b'} -2024-10-30 06:48:12,507 - lightrag - INFO - _check_node_exists:query:MATCH (n:`MRS. CRATCHIT`) RETURN count(n) > 0 AS node_exists:result:True -2024-10-30 06:48:12,663 - lightrag - INFO - _check_node_exists:query:MATCH (n:`SCROOGE`) RETURN count(n) > 0 AS node_exists:result:True -2024-10-30 06:48:12,838 - lightrag - INFO - _do_upsert_edge:query: - MATCH (source:`MRS. CRATCHIT`) - WITH source - MATCH (target:`SCROOGE`) - MERGE (source)-[r:DIRECTED]->(target) - SET r += $properties - RETURN r - :result:None -2024-10-30 06:48:13,042 - lightrag - INFO - _check_edge_existence:query:MATCH (a:`CRATCHIT FAMILY`)-[r]-(b:`THE SPIRIT`) RETURN COUNT(r) > 0 AS edgeExists:result:True -2024-10-30 06:48:13,184 - lightrag - INFO - get_edge:query: - MATCH (start:`CRATCHIT FAMILY`)-[r]->(end:`THE SPIRIT`) - RETURN properties(r) as edge_properties - LIMIT 1 - :result:{'keywords': '"holiday spirit, influence"', 'weight': 9.0, 'description': '"The Spirit influences the Christmas gathering of the Cratchit family by promoting joy and generosity, impacting their celebration."', 'source_id': 'chunk-19d72c57ae3408758b18d2568e86dc6b'} -2024-10-30 06:48:13,317 - lightrag - INFO - _check_node_exists:query:MATCH (n:`CRATCHIT FAMILY`) RETURN count(n) > 0 AS node_exists:result:True -2024-10-30 06:48:13,482 - lightrag - INFO - _check_node_exists:query:MATCH (n:`THE SPIRIT`) RETURN count(n) > 0 AS node_exists:result:True -2024-10-30 06:48:13,663 - lightrag - INFO - _do_upsert_edge:query: - MATCH (source:`CRATCHIT FAMILY`) - WITH source - MATCH (target:`THE SPIRIT`) - MERGE (source)-[r:DIRECTED]->(target) - SET r += $properties - RETURN r - :result:None -2024-10-30 06:48:13,840 - lightrag - INFO - _check_edge_existence:query:MATCH (a:`CHRISTMAS DAY`)-[r]-(b:`CRATCHIT FAMILY`) RETURN COUNT(r) > 0 AS edgeExists:result:True -2024-10-30 06:48:13,970 - lightrag - INFO - get_edge:query: - MATCH (start:`CHRISTMAS DAY`)-[r]->(end:`CRATCHIT FAMILY`) - RETURN properties(r) as edge_properties - LIMIT 1 - :result:{'keywords': '"celebration, tradition""celebration, unity"', 'weight': 19.0, 'description': '"The Cratchit Family gathers to celebrate Christmas Day, reflecting their togetherness and joy despite their hardships.""The Cratchit Family\'s celebration on Christmas Day emphasizes their unity and joy in sharing the holiday together."', 'source_id': 'chunk-7e2e7ebcc19a53b399dc03aded4743e7chunk-19d72c57ae3408758b18d2568e86dc6b'} -2024-10-30 06:48:14,100 - lightrag - INFO - _check_node_exists:query:MATCH (n:`CHRISTMAS DAY`) RETURN count(n) > 0 AS node_exists:result:True -2024-10-30 06:48:14,261 - lightrag - INFO - _check_node_exists:query:MATCH (n:`CRATCHIT FAMILY`) RETURN count(n) > 0 AS node_exists:result:True -2024-10-30 06:48:14,446 - lightrag - INFO - _do_upsert_edge:query: - MATCH (source:`CHRISTMAS DAY`) - WITH source - MATCH (target:`CRATCHIT FAMILY`) - MERGE (source)-[r:DIRECTED]->(target) - SET r += $properties - RETURN r - :result:None -2024-10-30 06:48:14,633 - lightrag - INFO - _check_edge_existence:query:MATCH (a:`MARTHA CRATCHIT`)-[r]-(b:`PETER CRATCHIT`) RETURN COUNT(r) > 0 AS edgeExists:result:True -2024-10-30 06:48:14,768 - lightrag - INFO - get_edge:query: - MATCH (start:`MARTHA CRATCHIT`)-[r]->(end:`PETER CRATCHIT`) - RETURN properties(r) as edge_properties - LIMIT 1 - :result:{'keywords': '"sibling relationship, family dynamics"', 'weight': 7.0, 'description': '"Peter and Martha interact as siblings during the Christmas gathering, reflecting familial bonds and shared experiences."', 'source_id': 'chunk-19d72c57ae3408758b18d2568e86dc6b'} -2024-10-30 06:48:14,901 - lightrag - INFO - _check_node_exists:query:MATCH (n:`MARTHA CRATCHIT`) RETURN count(n) > 0 AS node_exists:result:True -2024-10-30 06:48:15,067 - lightrag - INFO - _check_node_exists:query:MATCH (n:`PETER CRATCHIT`) RETURN count(n) > 0 AS node_exists:result:True -2024-10-30 06:48:15,242 - lightrag - INFO - _do_upsert_edge:query: - MATCH (source:`MARTHA CRATCHIT`) - WITH source - MATCH (target:`PETER CRATCHIT`) - MERGE (source)-[r:DIRECTED]->(target) - SET r += $properties - RETURN r - :result:None -2024-10-30 06:48:15,424 - lightrag - INFO - _check_edge_existence:query:MATCH (a:`MARTHA CRATCHIT`)-[r]-(b:`THE COUNTESS`) RETURN COUNT(r) > 0 AS edgeExists:result:True -2024-10-30 06:48:15,562 - lightrag - INFO - get_edge:query: - MATCH (start:`MARTHA CRATCHIT`)-[r]->(end:`THE COUNTESS`) - RETURN properties(r) as edge_properties - LIMIT 1 - :result:{'keywords': '"social aspirations, class contrast"', 'weight': 5.0, 'description': '"Martha’s mention of having seen the Countess represents her connection to higher social circles and dreams beyond her current situation."', 'source_id': 'chunk-19d72c57ae3408758b18d2568e86dc6b'} -2024-10-30 06:48:15,693 - lightrag - INFO - _check_node_exists:query:MATCH (n:`MARTHA CRATCHIT`) RETURN count(n) > 0 AS node_exists:result:True -2024-10-30 06:48:15,865 - lightrag - INFO - _check_node_exists:query:MATCH (n:`THE COUNTESS`) RETURN count(n) > 0 AS node_exists:result:True -2024-10-30 06:48:16,049 - lightrag - INFO - _do_upsert_edge:query: - MATCH (source:`MARTHA CRATCHIT`) - WITH source - MATCH (target:`THE COUNTESS`) - MERGE (source)-[r:DIRECTED]->(target) - SET r += $properties - RETURN r - :result:None -2024-10-30 06:48:16,230 - lightrag - INFO - _check_edge_existence:query:MATCH (a:`THE CRATCHIT FAMILY`)-[r]-(b:`TINY TIM`) RETURN COUNT(r) > 0 AS edgeExists:result:True -2024-10-30 06:48:16,364 - lightrag - INFO - get_edge:query: - MATCH (start:`THE CRATCHIT FAMILY`)-[r]->(end:`TINY TIM`) - RETURN properties(r) as edge_properties - LIMIT 1 - :result:{'keywords': '"family unity, hope"', 'weight': 9.0, 'description': '"Tiny Tim is an integral part of the Cratchit family, embodying their hopes and joys during the Christmas festivities."', 'source_id': 'chunk-19d72c57ae3408758b18d2568e86dc6b'} -2024-10-30 06:48:16,494 - lightrag - INFO - _check_node_exists:query:MATCH (n:`THE CRATCHIT FAMILY`) RETURN count(n) > 0 AS node_exists:result:True -2024-10-30 06:48:16,647 - lightrag - INFO - _check_node_exists:query:MATCH (n:`TINY TIM`) RETURN count(n) > 0 AS node_exists:result:True -2024-10-30 06:48:16,824 - lightrag - INFO - _do_upsert_edge:query: - MATCH (source:`THE CRATCHIT FAMILY`) - WITH source - MATCH (target:`TINY TIM`) - MERGE (source)-[r:DIRECTED]->(target) - SET r += $properties - RETURN r - :result:None -2024-10-30 06:48:16,998 - lightrag - INFO - _check_edge_existence:query:MATCH (a:`BOB CRATCHIT`)-[r]-(b:`THE GATHERING`) RETURN COUNT(r) > 0 AS edgeExists:result:True -2024-10-30 06:48:17,129 - lightrag - INFO - get_edge:query: - MATCH (start:`BOB CRATCHIT`)-[r]->(end:`THE GATHERING`) - RETURN properties(r) as edge_properties - LIMIT 1 - :result:{'keywords': '"family commitment, celebration"', 'weight': 8.0, 'description': '"Bob Cratchit leads his family in the Christmas Gathering, showcasing their love and commitment to celebrating together despite worries."', 'source_id': 'chunk-19d72c57ae3408758b18d2568e86dc6b'} -2024-10-30 06:48:17,258 - lightrag - INFO - _check_node_exists:query:MATCH (n:`BOB CRATCHIT`) RETURN count(n) > 0 AS node_exists:result:True -2024-10-30 06:48:17,422 - lightrag - INFO - _check_node_exists:query:MATCH (n:`THE GATHERING`) RETURN count(n) > 0 AS node_exists:result:True -2024-10-30 06:48:17,600 - lightrag - INFO - _do_upsert_edge:query: - MATCH (source:`BOB CRATCHIT`) - WITH source - MATCH (target:`THE GATHERING`) - MERGE (source)-[r:DIRECTED]->(target) - SET r += $properties - RETURN r - :result:None -2024-10-30 06:48:17,775 - lightrag - INFO - _check_edge_existence:query:MATCH (a:`THE GATHERING`)-[r]-(b:`THE SPIRIT`) RETURN COUNT(r) > 0 AS edgeExists:result:True -2024-10-30 06:48:17,913 - lightrag - INFO - get_edge:query: - MATCH (start:`THE GATHERING`)-[r]->(end:`THE SPIRIT`) - RETURN properties(r) as edge_properties - LIMIT 1 - :result:{'keywords': '"holiday influence, spirit embodiment"', 'weight': 9.0, 'description': '"The Spirit enhances The Gathering by infusing it with joy and positivity, transforming the atmosphere into one of celebration."', 'source_id': 'chunk-19d72c57ae3408758b18d2568e86dc6b'} -2024-10-30 06:48:18,046 - lightrag - INFO - _check_node_exists:query:MATCH (n:`THE GATHERING`) RETURN count(n) > 0 AS node_exists:result:True -2024-10-30 06:48:18,208 - lightrag - INFO - _check_node_exists:query:MATCH (n:`THE SPIRIT`) RETURN count(n) > 0 AS node_exists:result:True -2024-10-30 06:48:18,380 - lightrag - INFO - _do_upsert_edge:query: - MATCH (source:`THE GATHERING`) - WITH source - MATCH (target:`THE SPIRIT`) - MERGE (source)-[r:DIRECTED]->(target) - SET r += $properties - RETURN r - :result:None -2024-10-30 06:48:18,560 - lightrag - INFO - _check_edge_existence:query:MATCH (a:`CHRISTMAS`)-[r]-(b:`THE LIGHTHOUSE`) RETURN COUNT(r) > 0 AS edgeExists:result:True -2024-10-30 06:48:18,692 - lightrag - INFO - get_edge:query: - MATCH (start:`CHRISTMAS`)-[r]->(end:`THE LIGHTHOUSE`) - RETURN properties(r) as edge_properties - LIMIT 1 - :result:{'keywords': '"hope, celebration"', 'weight': 7.0, 'description': '"The Lighthouse is a site where Christmas is celebrated, symbolizing hope and warmth in a bleak environment."', 'source_id': 'chunk-91614df5cb74cbe5e109a338a82041e9'} -2024-10-30 06:48:18,815 - lightrag - INFO - _check_node_exists:query:MATCH (n:`CHRISTMAS`) RETURN count(n) > 0 AS node_exists:result:True -2024-10-30 06:48:18,981 - lightrag - INFO - _check_node_exists:query:MATCH (n:`THE LIGHTHOUSE`) RETURN count(n) > 0 AS node_exists:result:True -2024-10-30 06:48:19,160 - lightrag - INFO - _do_upsert_edge:query: - MATCH (source:`CHRISTMAS`) - WITH source - MATCH (target:`THE LIGHTHOUSE`) - MERGE (source)-[r:DIRECTED]->(target) - SET r += $properties - RETURN r - :result:None -2024-10-30 06:48:19,335 - lightrag - INFO - _check_edge_existence:query:MATCH (a:`CHRISTMAS`)-[r]-(b:`THE SHIP`) RETURN COUNT(r) > 0 AS edgeExists:result:True -2024-10-30 06:48:19,467 - lightrag - INFO - get_edge:query: - MATCH (start:`CHRISTMAS`)-[r]->(end:`THE SHIP`) - RETURN properties(r) as edge_properties - LIMIT 1 - :result:{'keywords': '"unity, shared experience"', 'weight': 8.0, 'description': '"The Ship\'s crew celebrates Christmas together, creating a sense of unity and shared joy despite their circumstances."', 'source_id': 'chunk-91614df5cb74cbe5e109a338a82041e9'} -2024-10-30 06:48:19,585 - lightrag - INFO - _check_node_exists:query:MATCH (n:`CHRISTMAS`) RETURN count(n) > 0 AS node_exists:result:True -2024-10-30 06:48:19,754 - lightrag - INFO - _check_node_exists:query:MATCH (n:`THE SHIP`) RETURN count(n) > 0 AS node_exists:result:True -2024-10-30 06:48:19,935 - lightrag - INFO - _do_upsert_edge:query: - MATCH (source:`CHRISTMAS`) - WITH source - MATCH (target:`THE SHIP`) - MERGE (source)-[r:DIRECTED]->(target) - SET r += $properties - RETURN r - :result:None -2024-10-30 06:48:20,111 - lightrag - INFO - _check_edge_existence:query:MATCH (a:`SCROOGE`)-[r]-(b:`THE LAMPLIGHTER`) RETURN COUNT(r) > 0 AS edgeExists:result:True -2024-10-30 06:48:20,254 - lightrag - INFO - get_edge:query: - MATCH (start:`SCROOGE`)-[r]->(end:`THE LAMPLIGHTER`) - RETURN properties(r) as edge_properties - LIMIT 1 - :result:{'keywords': '"contrast, positivity"', 'weight': 6.0, 'description': '"The Lamplighter\'s cheerful demeanor contrasts with Scrooge\'s initial outlook, highlighting the possibility of joy in life."', 'source_id': 'chunk-91614df5cb74cbe5e109a338a82041e9'} -2024-10-30 06:48:20,373 - lightrag - INFO - _check_node_exists:query:MATCH (n:`SCROOGE`) RETURN count(n) > 0 AS node_exists:result:True -2024-10-30 06:48:20,539 - lightrag - INFO - _check_node_exists:query:MATCH (n:`THE LAMPLIGHTER`) RETURN count(n) > 0 AS node_exists:result:True -2024-10-30 06:48:20,718 - lightrag - INFO - _do_upsert_edge:query: - MATCH (source:`SCROOGE`) - WITH source - MATCH (target:`THE LAMPLIGHTER`) - MERGE (source)-[r:DIRECTED]->(target) - SET r += $properties - RETURN r - :result:None -2024-10-30 06:48:20,895 - lightrag - INFO - _check_edge_existence:query:MATCH (a:`THE HUT`)-[r]-(b:`THE OLD MAN`) RETURN COUNT(r) > 0 AS edgeExists:result:True -2024-10-30 06:48:21,031 - lightrag - INFO - get_edge:query: - MATCH (start:`THE HUT`)-[r]->(end:`THE OLD MAN`) - RETURN properties(r) as edge_properties - LIMIT 1 - :result:{'keywords': '"tradition, family gathering"', 'weight': 8.0, 'description': '"The Old Man leads the gathering in song within the Hut, showcasing the warmth of family during Christmas."', 'source_id': 'chunk-91614df5cb74cbe5e109a338a82041e9'} -2024-10-30 06:48:21,162 - lightrag - INFO - _check_node_exists:query:MATCH (n:`THE HUT`) RETURN count(n) > 0 AS node_exists:result:True -2024-10-30 06:48:21,322 - lightrag - INFO - _check_node_exists:query:MATCH (n:`THE OLD MAN`) RETURN count(n) > 0 AS node_exists:result:True -2024-10-30 06:48:21,497 - lightrag - INFO - _do_upsert_edge:query: - MATCH (source:`THE HUT`) - WITH source - MATCH (target:`THE OLD MAN`) - MERGE (source)-[r:DIRECTED]->(target) - SET r += $properties - RETURN r - :result:None -2024-10-30 06:48:21,679 - lightrag - INFO - _check_edge_existence:query:MATCH (a:`THE HUT`)-[r]-(b:`THE MINERS`) RETURN COUNT(r) > 0 AS edgeExists:result:True -2024-10-30 06:48:21,817 - lightrag - INFO - get_edge:query: - MATCH (start:`THE HUT`)-[r]->(end:`THE MINERS`) - RETURN properties(r) as edge_properties - LIMIT 1 - :result:{'keywords': '"community, resilience"', 'weight': 7.0, 'description': '"The Miners find solace and community in the Hut during Christmas, emphasizing the importance of gathering during difficult times."', 'source_id': 'chunk-91614df5cb74cbe5e109a338a82041e9'} -2024-10-30 06:48:21,951 - lightrag - INFO - _check_node_exists:query:MATCH (n:`THE HUT`) RETURN count(n) > 0 AS node_exists:result:True -2024-10-30 06:48:22,124 - lightrag - INFO - _check_node_exists:query:MATCH (n:`THE MINERS`) RETURN count(n) > 0 AS node_exists:result:True -2024-10-30 06:48:22,300 - lightrag - INFO - _do_upsert_edge:query: - MATCH (source:`THE HUT`) - WITH source - MATCH (target:`THE MINERS`) - MERGE (source)-[r:DIRECTED]->(target) - SET r += $properties - RETURN r - :result:None -2024-10-30 06:48:22,471 - lightrag - INFO - _check_edge_existence:query:MATCH (a:`THE OFFICERS`)-[r]-(b:`THE SHIP`) RETURN COUNT(r) > 0 AS edgeExists:result:True -2024-10-30 06:48:22,604 - lightrag - INFO - get_edge:query: - MATCH (start:`THE OFFICERS`)-[r]->(end:`THE SHIP`) - RETURN properties(r) as edge_properties - LIMIT 1 - :result:{'keywords': '"camaraderie, festive spirit"', 'weight': 8.0, 'description': '"The Officers aboard the Ship share in the collective spirit of Christmas, contributing to the festive atmosphere during their duty."', 'source_id': 'chunk-91614df5cb74cbe5e109a338a82041e9'} -2024-10-30 06:48:22,737 - lightrag - INFO - _check_node_exists:query:MATCH (n:`THE OFFICERS`) RETURN count(n) > 0 AS node_exists:result:True -2024-10-30 06:48:22,903 - lightrag - INFO - _check_node_exists:query:MATCH (n:`THE SHIP`) RETURN count(n) > 0 AS node_exists:result:True -2024-10-30 06:48:23,080 - lightrag - INFO - _do_upsert_edge:query: - MATCH (source:`THE OFFICERS`) - WITH source - MATCH (target:`THE SHIP`) - MERGE (source)-[r:DIRECTED]->(target) - SET r += $properties - RETURN r - :result:None -2024-10-30 06:48:23,255 - lightrag - INFO - _check_edge_existence:query:MATCH (a:`THE LIGHTHOUSE`)-[r]-(b:`THE WAVE`) RETURN COUNT(r) > 0 AS edgeExists:result:True -2024-10-30 06:48:23,386 - lightrag - INFO - get_edge:query: - MATCH (start:`THE LIGHTHOUSE`)-[r]->(end:`THE WAVE`) - RETURN properties(r) as edge_properties - LIMIT 1 - :result:{'keywords': '"struggle, isolation"', 'weight': 7.0, 'description': '"The Wave\'s constant battering of the Lighthouse highlights the isolation and challenges faced by those in such remote environments."', 'source_id': 'chunk-91614df5cb74cbe5e109a338a82041e9'} -2024-10-30 06:48:23,520 - lightrag - INFO - _check_node_exists:query:MATCH (n:`THE LIGHTHOUSE`) RETURN count(n) > 0 AS node_exists:result:True -2024-10-30 06:48:23,688 - lightrag - INFO - _check_node_exists:query:MATCH (n:`THE WAVE`) RETURN count(n) > 0 AS node_exists:result:True -2024-10-30 06:48:23,866 - lightrag - INFO - _do_upsert_edge:query: - MATCH (source:`THE LIGHTHOUSE`) - WITH source - MATCH (target:`THE WAVE`) - MERGE (source)-[r:DIRECTED]->(target) - SET r += $properties - RETURN r - :result:None -2024-10-30 06:48:24,044 - lightrag - INFO - _check_edge_existence:query:MATCH (a:`STORM-BIRDS`)-[r]-(b:`THE LIGHTHOUSE`) RETURN COUNT(r) > 0 AS edgeExists:result:True -2024-10-30 06:48:24,178 - lightrag - INFO - get_edge:query: - MATCH (start:`STORM-BIRDS`)-[r]->(end:`THE LIGHTHOUSE`) - RETURN properties(r) as edge_properties - LIMIT 1 - :result:{'keywords': '"wildness, nature"', 'weight': 6.0, 'description': '"Storm-Birds surrounding the Lighthouse reflect the wildness and unpredictability of the sea, enhancing the sense of danger and solitude."', 'source_id': 'chunk-91614df5cb74cbe5e109a338a82041e9'} -2024-10-30 06:48:24,309 - lightrag - INFO - _check_node_exists:query:MATCH (n:`STORM-BIRDS`) RETURN count(n) > 0 AS node_exists:result:True -2024-10-30 06:48:24,476 - lightrag - INFO - _check_node_exists:query:MATCH (n:`THE LIGHTHOUSE`) RETURN count(n) > 0 AS node_exists:result:True -2024-10-30 06:48:24,651 - lightrag - INFO - _do_upsert_edge:query: - MATCH (source:`STORM-BIRDS`) - WITH source - MATCH (target:`THE LIGHTHOUSE`) - MERGE (source)-[r:DIRECTED]->(target) - SET r += $properties - RETURN r - :result:None -2024-10-30 06:48:24,828 - lightrag - INFO - _check_edge_existence:query:MATCH (a:`SCROOGE`)-[r]-(b:`SCROOGE'S NIECE`) RETURN COUNT(r) > 0 AS edgeExists:result:True -2024-10-30 06:48:24,964 - lightrag - INFO - get_edge:query: - MATCH (start:`SCROOGE`)-[r]->(end:`SCROOGE'S NIECE`) - RETURN properties(r) as edge_properties - LIMIT 1 - :result:{'keywords': '"family bonds, celebration""ideological conflict, family dynamics"', 'weight': 15.0, 'description': '"Scrooge\'s Niece expresses indignation towards Scrooge\'s belief that Christmas is a humbug, demonstrating her strong opinions against his views.""Scrooge\'s niece embraces the joyful atmosphere of the celebration, engaging with family and inviting good-natured fun."', 'source_id': 'chunk-773d0df1dd25c356f7b771d780583e09chunk-43c9bee23adfa77aa9dedd22401bba7d'} -2024-10-30 06:48:25,084 - lightrag - INFO - _check_node_exists:query:MATCH (n:`SCROOGE`) RETURN count(n) > 0 AS node_exists:result:True -2024-10-30 06:48:25,251 - lightrag - INFO - _check_node_exists:query:MATCH (n:`SCROOGE'S NIECE`) RETURN count(n) > 0 AS node_exists:result:True -2024-10-30 06:48:25,432 - lightrag - INFO - _do_upsert_edge:query: - MATCH (source:`SCROOGE`) - WITH source - MATCH (target:`SCROOGE'S NIECE`) - MERGE (source)-[r:DIRECTED]->(target) - SET r += $properties - RETURN r - :result:None -2024-10-30 06:48:25,606 - lightrag - INFO - _check_edge_existence:query:MATCH (a:`SCROOGE'S NEPHEW`)-[r]-(b:`SCROOGE'S NIECE`) RETURN COUNT(r) > 0 AS edgeExists:result:True -2024-10-30 06:48:25,736 - lightrag - INFO - get_edge:query: - MATCH (start:`SCROOGE'S NEPHEW`)-[r]->(end:`SCROOGE'S NIECE`) - RETURN properties(r) as edge_properties - LIMIT 1 - :result:{'keywords': '"family interaction, playful rivalry""shared humor, family bonding"', 'weight': 15.0, 'description': '"Scrooge\'s Nephew and Scrooge\'s Niece share a humorous dynamic, both laughing and contrasting with Scrooge\'s grim outlook.""Scrooge\'s nephew and niece engage in playful banter and competition during the games, enhancing their familial bond."', 'source_id': 'chunk-773d0df1dd25c356f7b771d780583e09chunk-43c9bee23adfa77aa9dedd22401bba7d'} -2024-10-30 06:48:25,870 - lightrag - INFO - _check_node_exists:query:MATCH (n:`SCROOGE'S NEPHEW`) RETURN count(n) > 0 AS node_exists:result:True -2024-10-30 06:48:26,043 - lightrag - INFO - _check_node_exists:query:MATCH (n:`SCROOGE'S NIECE`) RETURN count(n) > 0 AS node_exists:result:True -2024-10-30 06:48:26,225 - lightrag - INFO - _do_upsert_edge:query: - MATCH (source:`SCROOGE'S NEPHEW`) - WITH source - MATCH (target:`SCROOGE'S NIECE`) - MERGE (source)-[r:DIRECTED]->(target) - SET r += $properties - RETURN r - :result:None -2024-10-30 06:48:26,410 - lightrag - INFO - _check_edge_existence:query:MATCH (a:`SCROOGE'S NIECE`)-[r]-(b:`TOPPER`) RETURN COUNT(r) > 0 AS edgeExists:result:True -2024-10-30 06:48:26,546 - lightrag - INFO - get_edge:query: - MATCH (start:`SCROOGE'S NIECE`)-[r]->(end:`TOPPER`) - RETURN properties(r) as edge_properties - LIMIT 1 - :result:{'keywords': '"romantic interest, social dynamics"', 'weight': 6.0, 'description': '"Topper shows interest in Scrooge\'s Niece, indicating a budding romantic interest during the family gathering."', 'source_id': 'chunk-773d0df1dd25c356f7b771d780583e09'} -2024-10-30 06:48:26,666 - lightrag - INFO - _check_node_exists:query:MATCH (n:`SCROOGE'S NIECE`) RETURN count(n) > 0 AS node_exists:result:True -2024-10-30 06:48:26,836 - lightrag - INFO - _check_node_exists:query:MATCH (n:`TOPPER`) RETURN count(n) > 0 AS node_exists:result:True -2024-10-30 06:48:27,016 - lightrag - INFO - _do_upsert_edge:query: - MATCH (source:`SCROOGE'S NIECE`) - WITH source - MATCH (target:`TOPPER`) - MERGE (source)-[r:DIRECTED]->(target) - SET r += $properties - RETURN r - :result:None -2024-10-30 06:48:27,202 - lightrag - INFO - _check_edge_existence:query:MATCH (a:`SCROOGE'S NIECE`)-[r]-(b:`SCROOGE'S NIECE'S SISTERS`) RETURN COUNT(r) > 0 AS edgeExists:result:True -2024-10-30 06:48:27,337 - lightrag - INFO - get_edge:query: - MATCH (start:`SCROOGE'S NIECE`)-[r]->(end:`SCROOGE'S NIECE'S SISTERS`) - RETURN properties(r) as edge_properties - LIMIT 1 - :result:{'keywords': '"sisterly bond, shared sentiment"', 'weight': 8.0, 'description': '"Scrooge\'s Niece\'s Sisters share the same lively spirit and engage in laughter, supporting her sentiments towards their uncle Scrooge."', 'source_id': 'chunk-773d0df1dd25c356f7b771d780583e09'} -2024-10-30 06:48:27,461 - lightrag - INFO - _check_node_exists:query:MATCH (n:`SCROOGE'S NIECE`) RETURN count(n) > 0 AS node_exists:result:True -2024-10-30 06:48:27,627 - lightrag - INFO - _check_node_exists:query:MATCH (n:`SCROOGE'S NIECE'S SISTERS`) RETURN count(n) > 0 AS node_exists:result:True -2024-10-30 06:48:27,807 - lightrag - INFO - _do_upsert_edge:query: - MATCH (source:`SCROOGE'S NIECE`) - WITH source - MATCH (target:`SCROOGE'S NIECE'S SISTERS`) - MERGE (source)-[r:DIRECTED]->(target) - SET r += $properties - RETURN r - :result:None -2024-10-30 06:48:27,982 - lightrag - INFO - _check_edge_existence:query:MATCH (a:`DINNER`)-[r]-(b:`SCROOGE'S NEPHEW`) RETURN COUNT(r) > 0 AS edgeExists:result:True -2024-10-30 06:48:28,117 - lightrag - INFO - get_edge:query: - MATCH (start:`DINNER`)-[r]->(end:`SCROOGE'S NEPHEW`) - RETURN properties(r) as edge_properties - LIMIT 1 - :result:{'keywords': '"family, celebration"', 'weight': 9.0, 'description': '"Scrooge\'s Nephew emphasizes the pleasure of sharing Dinner with loved ones, highlighting the importance of family connections during holiday gatherings."', 'source_id': 'chunk-773d0df1dd25c356f7b771d780583e09'} -2024-10-30 06:48:28,247 - lightrag - INFO - _check_node_exists:query:MATCH (n:`DINNER`) RETURN count(n) > 0 AS node_exists:result:True -2024-10-30 06:48:28,409 - lightrag - INFO - _check_node_exists:query:MATCH (n:`SCROOGE'S NEPHEW`) RETURN count(n) > 0 AS node_exists:result:True -2024-10-30 06:48:28,585 - lightrag - INFO - _do_upsert_edge:query: - MATCH (source:`DINNER`) - WITH source - MATCH (target:`SCROOGE'S NEPHEW`) - MERGE (source)-[r:DIRECTED]->(target) - SET r += $properties - RETURN r - :result:None -2024-10-30 06:48:28,758 - lightrag - INFO - _check_edge_existence:query:MATCH (a:`SCROOGE'S NEPHEW`)-[r]-(b:`TOPPER`) RETURN COUNT(r) > 0 AS edgeExists:result:True -2024-10-30 06:48:28,892 - lightrag - INFO - get_edge:query: - MATCH (start:`SCROOGE'S NEPHEW`)-[r]->(end:`TOPPER`) - RETURN properties(r) as edge_properties - LIMIT 1 - :result:{'keywords': '"social interaction, camaraderie"', 'weight': 6.0, 'description': '"Topper interacts with Scrooge\'s Nephew during the festivities, engaging in dialogue that enhances the light-hearted atmosphere of the gathering."', 'source_id': 'chunk-773d0df1dd25c356f7b771d780583e09'} -2024-10-30 06:48:29,012 - lightrag - INFO - _check_node_exists:query:MATCH (n:`SCROOGE'S NEPHEW`) RETURN count(n) > 0 AS node_exists:result:True -2024-10-30 06:48:29,183 - lightrag - INFO - _check_node_exists:query:MATCH (n:`TOPPER`) RETURN count(n) > 0 AS node_exists:result:True -2024-10-30 06:48:29,363 - lightrag - INFO - _do_upsert_edge:query: - MATCH (source:`SCROOGE'S NEPHEW`) - WITH source - MATCH (target:`TOPPER`) - MERGE (source)-[r:DIRECTED]->(target) - SET r += $properties - RETURN r - :result:None -2024-10-30 06:48:29,541 - lightrag - INFO - _check_edge_existence:query:MATCH (a:`SCROOGE`)-[r]-(b:`TOPPER`) RETURN COUNT(r) > 0 AS edgeExists:result:True -2024-10-30 06:48:29,671 - lightrag - INFO - get_edge:query: - MATCH (start:`SCROOGE`)-[r]->(end:`TOPPER`) - RETURN properties(r) as edge_properties - LIMIT 1 - :result:{'keywords': '"observation, merriment"', 'weight': 6.0, 'description': '"Scrooge observes Topper\'s antics and expressions of joy during the games, revealing a reflection on human nature and merriment."', 'source_id': 'chunk-43c9bee23adfa77aa9dedd22401bba7d'} -2024-10-30 06:48:29,788 - lightrag - INFO - _check_node_exists:query:MATCH (n:`SCROOGE`) RETURN count(n) > 0 AS node_exists:result:True -2024-10-30 06:48:29,953 - lightrag - INFO - _check_node_exists:query:MATCH (n:`TOPPER`) RETURN count(n) > 0 AS node_exists:result:True -2024-10-30 06:48:30,129 - lightrag - INFO - _do_upsert_edge:query: - MATCH (source:`SCROOGE`) - WITH source - MATCH (target:`TOPPER`) - MERGE (source)-[r:DIRECTED]->(target) - SET r += $properties - RETURN r - :result:None -2024-10-30 06:48:30,304 - lightrag - INFO - _check_edge_existence:query:MATCH (a:`CHRISTMAS HOLIDAYS`)-[r]-(b:`SCROOGE`) RETURN COUNT(r) > 0 AS edgeExists:result:True -2024-10-30 06:48:30,436 - lightrag - INFO - get_edge:query: - MATCH (start:`CHRISTMAS HOLIDAYS`)-[r]->(end:`SCROOGE`) - RETURN properties(r) as edge_properties - LIMIT 1 - :result:{'keywords': '"transformation, significance of time"', 'weight': 8.0, 'description': '"Christmas Holidays are integral to Scrooge\'s journey, representing the time of year that prompts his change and reinstates joy."', 'source_id': 'chunk-e7637ff18c5ded77a68cce0a87883fad'} -2024-10-30 06:48:30,565 - lightrag - INFO - _check_node_exists:query:MATCH (n:`CHRISTMAS HOLIDAYS`) RETURN count(n) > 0 AS node_exists:result:True -2024-10-30 06:48:30,721 - lightrag - INFO - _check_node_exists:query:MATCH (n:`SCROOGE`) RETURN count(n) > 0 AS node_exists:result:True -2024-10-30 06:48:30,898 - lightrag - INFO - _do_upsert_edge:query: - MATCH (source:`CHRISTMAS HOLIDAYS`) - WITH source - MATCH (target:`SCROOGE`) - MERGE (source)-[r:DIRECTED]->(target) - SET r += $properties - RETURN r - :result:None -2024-10-30 06:48:31,077 - lightrag - INFO - _check_edge_existence:query:MATCH (a:`IGNORANCE`)-[r]-(b:`SPIRIT`) RETURN COUNT(r) > 0 AS edgeExists:result:True -2024-10-30 06:48:31,209 - lightrag - INFO - get_edge:query: - MATCH (start:`IGNORANCE`)-[r]->(end:`SPIRIT`) - RETURN properties(r) as edge_properties - LIMIT 1 - :result:{'keywords': '"social issues, awareness""social warning, awareness"', 'weight': 15.0, 'description': '"The Spirit introduces Ignorance to Scrooge as a representation of societal failures, urging him to acknowledge and address these issues.""The Spirit points out Ignorance, highlighting the need for awareness and responsibility toward societal issues."', 'source_id': 'chunk-e7637ff18c5ded77a68cce0a87883fadchunk-02baee20cc9463dbe08170a8e1043e32'} -2024-10-30 06:48:31,339 - lightrag - INFO - _check_node_exists:query:MATCH (n:`IGNORANCE`) RETURN count(n) > 0 AS node_exists:result:True -2024-10-30 06:48:31,505 - lightrag - INFO - _check_node_exists:query:MATCH (n:`SPIRIT`) RETURN count(n) > 0 AS node_exists:result:True -2024-10-30 06:48:31,678 - lightrag - INFO - _do_upsert_edge:query: - MATCH (source:`IGNORANCE`) - WITH source - MATCH (target:`SPIRIT`) - MERGE (source)-[r:DIRECTED]->(target) - SET r += $properties - RETURN r - :result:None -2024-10-30 06:48:31,863 - lightrag - INFO - _check_edge_existence:query:MATCH (a:`SPIRIT`)-[r]-(b:`WANT`) RETURN COUNT(r) > 0 AS edgeExists:result:True -2024-10-30 06:48:31,996 - lightrag - INFO - get_edge:query: - MATCH (start:`SPIRIT`)-[r]->(end:`WANT`) - RETURN properties(r) as edge_properties - LIMIT 1 - :result:{'keywords': '"social issues, need for compassion""social warning, deprivation"', 'weight': 15.0, 'description': '"The Spirit points out Want, symbolizing the dire consequences of neglecting societal needs.""The Spirit presents Want along with Ignorance, symbolizing the plight of the less fortunate and appealing for compassion."', 'source_id': 'chunk-e7637ff18c5ded77a68cce0a87883fadchunk-02baee20cc9463dbe08170a8e1043e32'} -2024-10-30 06:48:32,121 - lightrag - INFO - _check_node_exists:query:MATCH (n:`SPIRIT`) RETURN count(n) > 0 AS node_exists:result:True -2024-10-30 06:48:32,289 - lightrag - INFO - _check_node_exists:query:MATCH (n:`WANT`) RETURN count(n) > 0 AS node_exists:result:True -2024-10-30 06:48:32,464 - lightrag - INFO - _do_upsert_edge:query: - MATCH (source:`SPIRIT`) - WITH source - MATCH (target:`WANT`) - MERGE (source)-[r:DIRECTED]->(target) - SET r += $properties - RETURN r - :result:None -2024-10-30 06:48:32,639 - lightrag - INFO - _check_edge_existence:query:MATCH (a:`CITY`)-[r]-(b:`SPIRIT`) RETURN COUNT(r) > 0 AS edgeExists:result:True -2024-10-30 06:48:32,772 - lightrag - INFO - get_edge:query: - MATCH (start:`CITY`)-[r]->(end:`SPIRIT`) - RETURN properties(r) as edge_properties - LIMIT 1 - :result:{'keywords': '"atmospheric change, reality"', 'weight': 6.0, 'description': '"The Spirit’s presence affects the atmosphere of the City, showcasing the stark realities of life and death surrounding Scrooge."', 'source_id': 'chunk-02baee20cc9463dbe08170a8e1043e32'} -2024-10-30 06:48:32,904 - lightrag - INFO - _check_node_exists:query:MATCH (n:`CITY`) RETURN count(n) > 0 AS node_exists:result:True -2024-10-30 06:48:33,064 - lightrag - INFO - _check_node_exists:query:MATCH (n:`SPIRIT`) RETURN count(n) > 0 AS node_exists:result:True -2024-10-30 06:48:33,249 - lightrag - INFO - _do_upsert_edge:query: - MATCH (source:`CITY`) - WITH source - MATCH (target:`SPIRIT`) - MERGE (source)-[r:DIRECTED]->(target) - SET r += $properties - RETURN r - :result:None -2024-10-30 06:48:33,424 - lightrag - INFO - _check_edge_existence:query:MATCH (a:`JACOB`)-[r]-(b:`SCROOGE`) RETURN COUNT(r) > 0 AS edgeExists:result:True -2024-10-30 06:48:33,554 - lightrag - INFO - get_edge:query: - MATCH (start:`JACOB`)-[r]->(end:`SCROOGE`) - RETURN properties(r) as edge_properties - LIMIT 1 - :result:{'keywords': '"reflection, past relationship"', 'weight': 8.0, 'description': '"Scrooge reflects on his past relationship with Jacob, influenced by feelings of guilt and loss after Jacob\'s death."', 'source_id': 'chunk-f1a4fbcf1ed86864b9bfd5e8dba4c683'} -2024-10-30 06:48:33,682 - lightrag - INFO - _check_node_exists:query:MATCH (n:`JACOB`) RETURN count(n) > 0 AS node_exists:result:True -2024-10-30 06:48:33,835 - lightrag - INFO - _check_node_exists:query:MATCH (n:`SCROOGE`) RETURN count(n) > 0 AS node_exists:result:True -2024-10-30 06:48:34,015 - lightrag - INFO - _do_upsert_edge:query: - MATCH (source:`JACOB`) - WITH source - MATCH (target:`SCROOGE`) - MERGE (source)-[r:DIRECTED]->(target) - SET r += $properties - RETURN r - :result:None -2024-10-30 06:48:34,194 - lightrag - INFO - _check_edge_existence:query:MATCH (a:`THE LOW-BROWED SHOP`)-[r]-(b:`THE TOWN`) RETURN COUNT(r) > 0 AS edgeExists:result:True -2024-10-30 06:48:34,326 - lightrag - INFO - get_edge:query: - MATCH (start:`THE LOW-BROWED SHOP`)-[r]->(end:`THE TOWN`) - RETURN properties(r) as edge_properties - LIMIT 1 - :result:{'keywords': '"socioeconomic issues, decay"', 'weight': 7.0, 'description': '"The Low-Browed Shop exists within The Town, reflecting its degradation and the poor conditions of its inhabitants."', 'source_id': 'chunk-f1a4fbcf1ed86864b9bfd5e8dba4c683'} -2024-10-30 06:48:34,455 - lightrag - INFO - _check_node_exists:query:MATCH (n:`THE LOW-BROWED SHOP`) RETURN count(n) > 0 AS node_exists:result:True -2024-10-30 06:48:34,626 - lightrag - INFO - _check_node_exists:query:MATCH (n:`THE TOWN`) RETURN count(n) > 0 AS node_exists:result:True -2024-10-30 06:48:34,808 - lightrag - INFO - _do_upsert_edge:query: - MATCH (source:`THE LOW-BROWED SHOP`) - WITH source - MATCH (target:`THE TOWN`) - MERGE (source)-[r:DIRECTED]->(target) - SET r += $properties - RETURN r - :result:None -2024-10-30 06:48:34,991 - lightrag - INFO - _check_edge_existence:query:MATCH (a:`RED-FACED GENTLEMAN`)-[r]-(b:`SCROOGE`) RETURN COUNT(r) > 0 AS edgeExists:result:True -2024-10-30 06:48:35,129 - lightrag - INFO - get_edge:query: - MATCH (start:`RED-FACED GENTLEMAN`)-[r]->(end:`SCROOGE`) - RETURN properties(r) as edge_properties - LIMIT 1 - :result:{'keywords': '"humor, communal context"', 'weight': 6.0, 'description': '"Scrooge observes the conversation of the Red-faced Gentleman, which offers humorous insights into communal attitudes toward death."', 'source_id': 'chunk-f1a4fbcf1ed86864b9bfd5e8dba4c683'} -2024-10-30 06:48:35,264 - lightrag - INFO - _check_node_exists:query:MATCH (n:`RED-FACED GENTLEMAN`) RETURN count(n) > 0 AS node_exists:result:True -2024-10-30 06:48:35,423 - lightrag - INFO - _check_node_exists:query:MATCH (n:`SCROOGE`) RETURN count(n) > 0 AS node_exists:result:True -2024-10-30 06:48:35,605 - lightrag - INFO - _do_upsert_edge:query: - MATCH (source:`RED-FACED GENTLEMAN`) - WITH source - MATCH (target:`SCROOGE`) - MERGE (source)-[r:DIRECTED]->(target) - SET r += $properties - RETURN r - :result:None -2024-10-30 06:48:35,778 - lightrag - INFO - _check_edge_existence:query:MATCH (a:`GENTLEMAN WITH THE EXCRESCENCE`)-[r]-(b:`RED-FACED GENTLEMAN`) RETURN COUNT(r) > 0 AS edgeExists:result:True -2024-10-30 06:48:35,918 - lightrag - INFO - get_edge:query: - MATCH (start:`GENTLEMAN WITH THE EXCRESCENCE`)-[r]->(end:`RED-FACED GENTLEMAN`) - RETURN properties(r) as edge_properties - LIMIT 1 - :result:{'keywords': '"social interaction, humor"', 'weight': 7.0, 'description': '"Both gentlemen engage in light-hearted banter about the funeral, reflecting casual societal norms in their discussion."', 'source_id': 'chunk-f1a4fbcf1ed86864b9bfd5e8dba4c683'} -2024-10-30 06:48:36,047 - lightrag - INFO - _check_node_exists:query:MATCH (n:`GENTLEMAN WITH THE EXCRESCENCE`) RETURN count(n) > 0 AS node_exists:result:True -2024-10-30 06:48:36,213 - lightrag - INFO - _check_node_exists:query:MATCH (n:`RED-FACED GENTLEMAN`) RETURN count(n) > 0 AS node_exists:result:True -2024-10-30 06:48:36,394 - lightrag - INFO - _do_upsert_edge:query: - MATCH (source:`GENTLEMAN WITH THE EXCRESCENCE`) - WITH source - MATCH (target:`RED-FACED GENTLEMAN`) - MERGE (source)-[r:DIRECTED]->(target) - SET r += $properties - RETURN r - :result:None -2024-10-30 06:48:36,571 - lightrag - INFO - _check_edge_existence:query:MATCH (a:`SCROOGE`)-[r]-(b:`THE PHANTOM`) RETURN COUNT(r) > 0 AS edgeExists:result:True -2024-10-30 06:48:36,703 - lightrag - INFO - get_edge:query: - MATCH (start:`SCROOGE`)-[r]->(end:`THE PHANTOM`) - RETURN properties(r) as edge_properties - LIMIT 1 - :result:{'keywords': '"guidance, self-reflection"', 'weight': 9.0, 'description': '"Scrooge interacts with the Phantom, which guides him through reflections on his life and future, emphasizing his journey of change."', 'source_id': 'chunk-f1a4fbcf1ed86864b9bfd5e8dba4c683'} -2024-10-30 06:48:36,826 - lightrag - INFO - _check_node_exists:query:MATCH (n:`SCROOGE`) RETURN count(n) > 0 AS node_exists:result:True -2024-10-30 06:48:36,997 - lightrag - INFO - _check_node_exists:query:MATCH (n:`THE PHANTOM`) RETURN count(n) > 0 AS node_exists:result:True -2024-10-30 06:48:37,172 - lightrag - INFO - _do_upsert_edge:query: - MATCH (source:`SCROOGE`) - WITH source - MATCH (target:`THE PHANTOM`) - MERGE (source)-[r:DIRECTED]->(target) - SET r += $properties - RETURN r - :result:None -2024-10-30 06:48:37,355 - lightrag - INFO - _check_edge_existence:query:MATCH (a:`THE PEOPLE`)-[r]-(b:`THE QUARTER`) RETURN COUNT(r) > 0 AS edgeExists:result:True -2024-10-30 06:48:37,487 - lightrag - INFO - get_edge:query: - MATCH (start:`THE PEOPLE`)-[r]->(end:`THE QUARTER`) - RETURN properties(r) as edge_properties - LIMIT 1 - :result:{'keywords': '"socioeconomic struggle, societal neglect"', 'weight': 9.0, 'description': '"The People inhabit The Quarter, which is characterized by poverty, crime, and a sense of neglect."', 'source_id': 'chunk-f1a4fbcf1ed86864b9bfd5e8dba4c683'} -2024-10-30 06:48:37,616 - lightrag - INFO - _check_node_exists:query:MATCH (n:`THE PEOPLE`) RETURN count(n) > 0 AS node_exists:result:True -2024-10-30 06:48:37,782 - lightrag - INFO - _check_node_exists:query:MATCH (n:`THE QUARTER`) RETURN count(n) > 0 AS node_exists:result:True -2024-10-30 06:48:37,966 - lightrag - INFO - _do_upsert_edge:query: - MATCH (source:`THE PEOPLE`) - WITH source - MATCH (target:`THE QUARTER`) - MERGE (source)-[r:DIRECTED]->(target) - SET r += $properties - RETURN r - :result:None -2024-10-30 06:48:38,139 - lightrag - INFO - _check_edge_existence:query:MATCH (a:`THE LOW-BROWED SHOP`)-[r]-(b:`THE PEOPLE`) RETURN COUNT(r) > 0 AS edgeExists:result:True -2024-10-30 06:48:38,275 - lightrag - INFO - get_edge:query: - MATCH (start:`THE LOW-BROWED SHOP`)-[r]->(end:`THE PEOPLE`) - RETURN properties(r) as edge_properties - LIMIT 1 - :result:{'keywords': '"desperation, commerce"', 'weight': 8.0, 'description': '"The Low-Browed Shop serves the needs of The People, representing the harsh realities of their lives in the quarter."', 'source_id': 'chunk-f1a4fbcf1ed86864b9bfd5e8dba4c683'} -2024-10-30 06:48:38,409 - lightrag - INFO - _check_node_exists:query:MATCH (n:`THE LOW-BROWED SHOP`) RETURN count(n) > 0 AS node_exists:result:True -2024-10-30 06:48:38,578 - lightrag - INFO - _check_node_exists:query:MATCH (n:`THE PEOPLE`) RETURN count(n) > 0 AS node_exists:result:True -2024-10-30 06:48:38,755 - lightrag - INFO - _do_upsert_edge:query: - MATCH (source:`THE LOW-BROWED SHOP`) - WITH source - MATCH (target:`THE PEOPLE`) - MERGE (source)-[r:DIRECTED]->(target) - SET r += $properties - RETURN r - :result:None -2024-10-30 06:48:38,935 - lightrag - INFO - _check_edge_existence:query:MATCH (a:`OLD SCRATCH`)-[r]-(b:`THE FUNERAL`) RETURN COUNT(r) > 0 AS edgeExists:result:True -2024-10-30 06:48:39,068 - lightrag - INFO - get_edge:query: - MATCH (start:`OLD SCRATCH`)-[r]->(end:`THE FUNERAL`) - RETURN properties(r) as edge_properties - LIMIT 1 - :result:{'keywords': '"morbid humor, societal views"', 'weight': 7.0, 'description': '"The concept of Old Scratch is invoked in the context of discussions about The Funeral, highlighting societal attitudes towards death."', 'source_id': 'chunk-f1a4fbcf1ed86864b9bfd5e8dba4c683'} -2024-10-30 06:48:39,197 - lightrag - INFO - _check_node_exists:query:MATCH (n:`OLD SCRATCH`) RETURN count(n) > 0 AS node_exists:result:True -2024-10-30 06:48:39,364 - lightrag - INFO - _check_node_exists:query:MATCH (n:`THE FUNERAL`) RETURN count(n) > 0 AS node_exists:result:True -2024-10-30 06:48:39,540 - lightrag - INFO - _do_upsert_edge:query: - MATCH (source:`OLD SCRATCH`) - WITH source - MATCH (target:`THE FUNERAL`) - MERGE (source)-[r:DIRECTED]->(target) - SET r += $properties - RETURN r - :result:None -2024-10-30 06:48:39,721 - lightrag - INFO - _check_edge_existence:query:MATCH (a:`MRS. DILBER`)-[r]-(b:`OLD JOE`) RETURN COUNT(r) > 0 AS edgeExists:result:True -2024-10-30 06:48:39,855 - lightrag - INFO - get_edge:query: - MATCH (start:`MRS. DILBER`)-[r]->(end:`OLD JOE`) - RETURN properties(r) as edge_properties - LIMIT 1 - :result:{'keywords': '"business interaction, appraisal"', 'weight': 6.0, 'description': '"Old Joe assesses the belongings of Mrs. Dilber, reinforcing his role as an appraiser of stolen goods and demonstrating a tendency to be generous towards women."', 'source_id': 'chunk-60fc063c79fc0d4acc91a57e79de04dc'} -2024-10-30 06:48:39,985 - lightrag - INFO - _check_node_exists:query:MATCH (n:`MRS. DILBER`) RETURN count(n) > 0 AS node_exists:result:True -2024-10-30 06:48:40,152 - lightrag - INFO - _check_node_exists:query:MATCH (n:`OLD JOE`) RETURN count(n) > 0 AS node_exists:result:True -2024-10-30 06:48:40,336 - lightrag - INFO - _do_upsert_edge:query: - MATCH (source:`MRS. DILBER`) - WITH source - MATCH (target:`OLD JOE`) - MERGE (source)-[r:DIRECTED]->(target) - SET r += $properties - RETURN r - :result:None -2024-10-30 06:48:40,514 - lightrag - INFO - _check_edge_existence:query:MATCH (a:`MRS. DILBER`)-[r]-(b:`THE WOMAN`) RETURN COUNT(r) > 0 AS edgeExists:result:True -2024-10-30 06:48:40,645 - lightrag - INFO - get_edge:query: - MATCH (start:`MRS. DILBER`)-[r]->(end:`THE WOMAN`) - RETURN properties(r) as edge_properties - LIMIT 1 - :result:{'keywords': '"moral discussion, camaraderie"', 'weight': 5.0, 'description': '"Mrs. Dilber and The Woman share a conversational dynamic that touches on the moral implications of their actions, creating a camaraderie as they discuss the deceased."', 'source_id': 'chunk-60fc063c79fc0d4acc91a57e79de04dc'} -2024-10-30 06:48:40,777 - lightrag - INFO - _check_node_exists:query:MATCH (n:`MRS. DILBER`) RETURN count(n) > 0 AS node_exists:result:True -2024-10-30 06:48:40,953 - lightrag - INFO - _check_node_exists:query:MATCH (n:`THE WOMAN`) RETURN count(n) > 0 AS node_exists:result:True -2024-10-30 06:48:41,135 - lightrag - INFO - _do_upsert_edge:query: - MATCH (source:`MRS. DILBER`) - WITH source - MATCH (target:`THE WOMAN`) - MERGE (source)-[r:DIRECTED]->(target) - SET r += $properties - RETURN r - :result:None -2024-10-30 06:48:41,318 - lightrag - INFO - _check_edge_existence:query:MATCH (a:`OLD JOE`)-[r]-(b:`THE WOMAN`) RETURN COUNT(r) > 0 AS edgeExists:result:True -2024-10-30 06:48:41,460 - lightrag - INFO - get_edge:query: - MATCH (start:`OLD JOE`)-[r]->(end:`THE WOMAN`) - RETURN properties(r) as edge_properties - LIMIT 1 - :result:{'keywords': '"business interaction, appraisal"', 'weight': 7.0, 'description': '"Old Joe interacts with The Woman as she encourages him to evaluate her stolen bundle, indicating a business-like relationship based on appraisal and exchange."', 'source_id': 'chunk-60fc063c79fc0d4acc91a57e79de04dc'} -2024-10-30 06:48:41,589 - lightrag - INFO - _check_node_exists:query:MATCH (n:`OLD JOE`) RETURN count(n) > 0 AS node_exists:result:True -2024-10-30 06:48:41,751 - lightrag - INFO - _check_node_exists:query:MATCH (n:`THE WOMAN`) RETURN count(n) > 0 AS node_exists:result:True -2024-10-30 06:48:41,938 - lightrag - INFO - _do_upsert_edge:query: - MATCH (source:`OLD JOE`) - WITH source - MATCH (target:`THE WOMAN`) - MERGE (source)-[r:DIRECTED]->(target) - SET r += $properties - RETURN r - :result:None -2024-10-30 06:48:42,114 - lightrag - INFO - _check_edge_existence:query:MATCH (a:`THE MAN IN FADED BLACK`)-[r]-(b:`THE WOMAN`) RETURN COUNT(r) > 0 AS edgeExists:result:True -2024-10-30 06:48:42,248 - lightrag - INFO - get_edge:query: - MATCH (start:`THE MAN IN FADED BLACK`)-[r]->(end:`THE WOMAN`) - RETURN properties(r) as edge_properties - LIMIT 1 - :result:{'keywords': '"shared activity, community"', 'weight': 5.0, 'description': '"The Man in Faded Black shares his modest plunder with The Woman, building a sense of community among the characters involved."', 'source_id': 'chunk-60fc063c79fc0d4acc91a57e79de04dc'} -2024-10-30 06:48:42,376 - lightrag - INFO - _check_node_exists:query:MATCH (n:`THE MAN IN FADED BLACK`) RETURN count(n) > 0 AS node_exists:result:True -2024-10-30 06:48:42,534 - lightrag - INFO - _check_node_exists:query:MATCH (n:`THE WOMAN`) RETURN count(n) > 0 AS node_exists:result:True -2024-10-30 06:48:42,709 - lightrag - INFO - _do_upsert_edge:query: - MATCH (source:`THE MAN IN FADED BLACK`) - WITH source - MATCH (target:`THE WOMAN`) - MERGE (source)-[r:DIRECTED]->(target) - SET r += $properties - RETURN r - :result:None -2024-10-30 06:48:42,882 - lightrag - INFO - _check_edge_existence:query:MATCH (a:`OLD JOE`)-[r]-(b:`THE GATHERING`) RETURN COUNT(r) > 0 AS edgeExists:result:True -2024-10-30 06:48:43,016 - lightrag - INFO - get_edge:query: - MATCH (start:`OLD JOE`)-[r]->(end:`THE GATHERING`) - RETURN properties(r) as edge_properties - LIMIT 1 - :result:{'keywords': '"facilitation, social dynamics"', 'weight': 9.0, 'description': '"Old Joe facilitates The Gathering by appraising the items brought by each character, serving as a focal point for their interactions."', 'source_id': 'chunk-60fc063c79fc0d4acc91a57e79de04dc'} -2024-10-30 06:48:43,139 - lightrag - INFO - _check_node_exists:query:MATCH (n:`OLD JOE`) RETURN count(n) > 0 AS node_exists:result:True -2024-10-30 06:48:43,302 - lightrag - INFO - _check_node_exists:query:MATCH (n:`THE GATHERING`) RETURN count(n) > 0 AS node_exists:result:True -2024-10-30 06:48:43,484 - lightrag - INFO - _do_upsert_edge:query: - MATCH (source:`OLD JOE`) - WITH source - MATCH (target:`THE GATHERING`) - MERGE (source)-[r:DIRECTED]->(target) - SET r += $properties - RETURN r - :result:None -2024-10-30 06:48:43,658 - lightrag - INFO - _check_edge_existence:query:MATCH (a:`SCROOGE`)-[r]-(b:`THE DECEASED MAN`) RETURN COUNT(r) > 0 AS edgeExists:result:True -2024-10-30 06:48:43,792 - lightrag - INFO - get_edge:query: - MATCH (start:`SCROOGE`)-[r]->(end:`THE DECEASED MAN`) - RETURN properties(r) as edge_properties - LIMIT 1 - :result:{'keywords': '"moral reflection, consequence"', 'weight': 9.0, 'description': '"Scrooge reflects on the life and death of The Deceased Man, prompting introspection about his own life choices."', 'source_id': 'chunk-e1f29eeadc1d8ab46dc8a0bbd3c56b64'} -2024-10-30 06:48:43,914 - lightrag - INFO - _check_node_exists:query:MATCH (n:`SCROOGE`) RETURN count(n) > 0 AS node_exists:result:True -2024-10-30 06:48:44,087 - lightrag - INFO - _check_node_exists:query:MATCH (n:`THE DECEASED MAN`) RETURN count(n) > 0 AS node_exists:result:True -2024-10-30 06:48:44,263 - lightrag - INFO - _do_upsert_edge:query: - MATCH (source:`SCROOGE`) - WITH source - MATCH (target:`THE DECEASED MAN`) - MERGE (source)-[r:DIRECTED]->(target) - SET r += $properties - RETURN r - :result:None -2024-10-30 06:48:44,445 - lightrag - INFO - _check_edge_existence:query:MATCH (a:`JOE`)-[r]-(b:`SCROOGE`) RETURN COUNT(r) > 0 AS edgeExists:result:True -2024-10-30 06:48:44,575 - lightrag - INFO - get_edge:query: - MATCH (start:`JOE`)-[r]->(end:`SCROOGE`) - RETURN properties(r) as edge_properties - LIMIT 1 - :result:{'keywords': '"perspective contrast, moral dilemma"', 'weight': 6.0, 'description': '"Joe\'s cynical attitude towards death and belongings contrasts with Scrooge\'s moral horror, creating a tension between their perspectives."', 'source_id': 'chunk-e1f29eeadc1d8ab46dc8a0bbd3c56b64'} -2024-10-30 06:48:44,698 - lightrag - INFO - _check_node_exists:query:MATCH (n:`JOE`) RETURN count(n) > 0 AS node_exists:result:True -2024-10-30 06:48:44,852 - lightrag - INFO - _check_node_exists:query:MATCH (n:`SCROOGE`) RETURN count(n) > 0 AS node_exists:result:True -2024-10-30 06:48:45,029 - lightrag - INFO - _do_upsert_edge:query: - MATCH (source:`JOE`) - WITH source - MATCH (target:`SCROOGE`) - MERGE (source)-[r:DIRECTED]->(target) - SET r += $properties - RETURN r - :result:None -2024-10-30 06:48:45,204 - lightrag - INFO - _check_edge_existence:query:MATCH (a:`DEATH`)-[r]-(b:`THE BED`) RETURN COUNT(r) > 0 AS edgeExists:result:True -2024-10-30 06:48:45,339 - lightrag - INFO - get_edge:query: - MATCH (start:`DEATH`)-[r]->(end:`THE BED`) - RETURN properties(r) as edge_properties - LIMIT 1 - :result:{'keywords': '"finality, mortality"', 'weight': 8.0, 'description': '"Death is inherently linked to The Bed as the resting place of the deceased, symbolizing the finality of life and the legacy left behind."', 'source_id': 'chunk-e1f29eeadc1d8ab46dc8a0bbd3c56b64'} -2024-10-30 06:48:45,473 - lightrag - INFO - _check_node_exists:query:MATCH (n:`DEATH`) RETURN count(n) > 0 AS node_exists:result:True -2024-10-30 06:48:45,643 - lightrag - INFO - _check_node_exists:query:MATCH (n:`THE BED`) RETURN count(n) > 0 AS node_exists:result:True -2024-10-30 06:48:45,818 - lightrag - INFO - _do_upsert_edge:query: - MATCH (source:`DEATH`) - WITH source - MATCH (target:`THE BED`) - MERGE (source)-[r:DIRECTED]->(target) - SET r += $properties - RETURN r - :result:None -2024-10-30 06:48:45,994 - lightrag - INFO - _check_edge_existence:query:MATCH (a:`THE BUNDLE`)-[r]-(b:`THE DECEASED MAN`) RETURN COUNT(r) > 0 AS edgeExists:result:True -2024-10-30 06:48:46,123 - lightrag - INFO - get_edge:query: - MATCH (start:`THE BUNDLE`)-[r]->(end:`THE DECEASED MAN`) - RETURN properties(r) as edge_properties - LIMIT 1 - :result:{'keywords': '"material legacy, value"', 'weight': 7.0, 'description': '"The Bundle contains the belongings that once belonged to The Deceased Man, illustrating the material value placed on his life after death."', 'source_id': 'chunk-e1f29eeadc1d8ab46dc8a0bbd3c56b64'} -2024-10-30 06:48:46,251 - lightrag - INFO - _check_node_exists:query:MATCH (n:`THE BUNDLE`) RETURN count(n) > 0 AS node_exists:result:True -2024-10-30 06:48:46,424 - lightrag - INFO - _check_node_exists:query:MATCH (n:`THE DECEASED MAN`) RETURN count(n) > 0 AS node_exists:result:True -2024-10-30 06:48:46,601 - lightrag - INFO - _do_upsert_edge:query: - MATCH (source:`THE BUNDLE`) - WITH source - MATCH (target:`THE DECEASED MAN`) - MERGE (source)-[r:DIRECTED]->(target) - SET r += $properties - RETURN r - :result:None -2024-10-30 06:48:46,775 - lightrag - INFO - _check_edge_existence:query:MATCH (a:`THE BLANKETS`)-[r]-(b:`THE CORPSE`) RETURN COUNT(r) > 0 AS edgeExists:result:True -2024-10-30 06:48:46,905 - lightrag - INFO - get_edge:query: - MATCH (start:`THE BLANKETS`)-[r]->(end:`THE CORPSE`) - RETURN properties(r) as edge_properties - LIMIT 1 - :result:{'keywords': '"care, human connection"', 'weight': 8.0, 'description': '"The Blankets are directly associated with The Corpse, indicating the human connections and care traditionally shown to the dead."', 'source_id': 'chunk-e1f29eeadc1d8ab46dc8a0bbd3c56b64'} -2024-10-30 06:48:47,033 - lightrag - INFO - _check_node_exists:query:MATCH (n:`THE BLANKETS`) RETURN count(n) > 0 AS node_exists:result:True -2024-10-30 06:48:47,203 - lightrag - INFO - _check_node_exists:query:MATCH (n:`THE CORPSE`) RETURN count(n) > 0 AS node_exists:result:True -2024-10-30 06:48:47,382 - lightrag - INFO - _do_upsert_edge:query: - MATCH (source:`THE BLANKETS`) - WITH source - MATCH (target:`THE CORPSE`) - MERGE (source)-[r:DIRECTED]->(target) - SET r += $properties - RETURN r - :result:None -2024-10-30 06:48:47,555 - lightrag - INFO - _check_edge_existence:query:MATCH (a:`THE BLANKET`)-[r]-(b:`THE OIL`) RETURN COUNT(r) > 0 AS edgeExists:result:True -2024-10-30 06:48:47,684 - lightrag - INFO - get_edge:query: - MATCH (start:`THE BLANKET`)-[r]->(end:`THE OIL`) - RETURN properties(r) as edge_properties - LIMIT 1 - :result:{'keywords': '"materialism, carelessness"', 'weight': 6.0, 'description': '"The Oil’s presence suggests a practical yet insensitive attitude towards the care of The Blanket and the deceased."', 'source_id': 'chunk-e1f29eeadc1d8ab46dc8a0bbd3c56b64'} -2024-10-30 06:48:47,811 - lightrag - INFO - _check_node_exists:query:MATCH (n:`THE BLANKET`) RETURN count(n) > 0 AS node_exists:result:True -2024-10-30 06:48:47,986 - lightrag - INFO - _check_node_exists:query:MATCH (n:`THE OIL`) RETURN count(n) > 0 AS node_exists:result:True -2024-10-30 06:48:48,164 - lightrag - INFO - _do_upsert_edge:query: - MATCH (source:`THE BLANKET`) - WITH source - MATCH (target:`THE OIL`) - MERGE (source)-[r:DIRECTED]->(target) - SET r += $properties - RETURN r - :result:None -2024-10-30 06:48:48,342 - lightrag - INFO - _check_edge_existence:query:MATCH (a:`SCROOGE`)-[r]-(b:`THE CORPSE`) RETURN COUNT(r) > 0 AS edgeExists:result:True -2024-10-30 06:48:48,474 - lightrag - INFO - get_edge:query: - MATCH (start:`SCROOGE`)-[r]->(end:`THE CORPSE`) - RETURN properties(r) as edge_properties - LIMIT 1 - :result:{'keywords': '"introspection, life choices"', 'weight': 9.0, 'description': '"Scrooge’s horror upon seeing The Corpse prompts deep reflection on his own life choices and morality."', 'source_id': 'chunk-e1f29eeadc1d8ab46dc8a0bbd3c56b64'} -2024-10-30 06:48:48,591 - lightrag - INFO - _check_node_exists:query:MATCH (n:`SCROOGE`) RETURN count(n) > 0 AS node_exists:result:True -2024-10-30 06:48:48,757 - lightrag - INFO - _check_node_exists:query:MATCH (n:`THE CORPSE`) RETURN count(n) > 0 AS node_exists:result:True -2024-10-30 06:48:48,934 - lightrag - INFO - _do_upsert_edge:query: - MATCH (source:`SCROOGE`) - WITH source - MATCH (target:`THE CORPSE`) - MERGE (source)-[r:DIRECTED]->(target) - SET r += $properties - RETURN r - :result:None -2024-10-30 06:48:49,108 - lightrag - INFO - _check_edge_existence:query:MATCH (a:`BOB CRATCHIT`)-[r]-(b:`CAROLINE`) RETURN COUNT(r) > 0 AS edgeExists:result:True -2024-10-30 06:48:49,239 - lightrag - INFO - get_edge:query: - MATCH (start:`BOB CRATCHIT`)-[r]->(end:`CAROLINE`) - RETURN properties(r) as edge_properties - LIMIT 1 - :result:{'keywords': '"hope, financial strain"', 'weight': 7.0, 'description': '"Caroline expresses hope combined with anxiety regarding their financial situation, affecting her relationship with Bob Cratchit."', 'source_id': 'chunk-83ac129dc9b56f84c46760d153d68e93'} -2024-10-30 06:48:49,369 - lightrag - INFO - _check_node_exists:query:MATCH (n:`BOB CRATCHIT`) RETURN count(n) > 0 AS node_exists:result:True -2024-10-30 06:48:49,537 - lightrag - INFO - _check_node_exists:query:MATCH (n:`CAROLINE`) RETURN count(n) > 0 AS node_exists:result:True -2024-10-30 06:48:49,711 - lightrag - INFO - _do_upsert_edge:query: - MATCH (source:`BOB CRATCHIT`) - WITH source - MATCH (target:`CAROLINE`) - MERGE (source)-[r:DIRECTED]->(target) - SET r += $properties - RETURN r - :result:None -2024-10-30 06:48:49,887 - lightrag - INFO - _check_edge_existence:query:MATCH (a:`SPIRIT`)-[r]-(b:`THE EVENT OF DEATH`) RETURN COUNT(r) > 0 AS edgeExists:result:True -2024-10-30 06:48:50,017 - lightrag - INFO - get_edge:query: - MATCH (start:`SPIRIT`)-[r]->(end:`THE EVENT OF DEATH`) - RETURN properties(r) as edge_properties - LIMIT 1 - :result:{'keywords': '"emotional impact, mortality"', 'weight': 8.0, 'description': '"The Spirit highlights the emotional repercussions of The Event of Death, demonstrating the profound effects on those left behind."', 'source_id': 'chunk-83ac129dc9b56f84c46760d153d68e93'} -2024-10-30 06:48:50,138 - lightrag - INFO - _check_node_exists:query:MATCH (n:`SPIRIT`) RETURN count(n) > 0 AS node_exists:result:True -2024-10-30 06:48:50,305 - lightrag - INFO - _check_node_exists:query:MATCH (n:`THE EVENT OF DEATH`) RETURN count(n) > 0 AS node_exists:result:True -2024-10-30 06:48:50,484 - lightrag - INFO - _do_upsert_edge:query: - MATCH (source:`SPIRIT`) - WITH source - MATCH (target:`THE EVENT OF DEATH`) - MERGE (source)-[r:DIRECTED]->(target) - SET r += $properties - RETURN r - :result:None -2024-10-30 06:48:50,661 - lightrag - INFO - _check_edge_existence:query:MATCH (a:`SCROOGE`)-[r]-(b:`THE CRATCHIT HOUSE`) RETURN COUNT(r) > 0 AS edgeExists:result:True -2024-10-30 06:48:50,787 - lightrag - INFO - get_edge:query: - MATCH (start:`SCROOGE`)-[r]->(end:`THE CRATCHIT HOUSE`) - RETURN properties(r) as edge_properties - LIMIT 1 - :result:{'keywords': '"compassion, familial connection"', 'weight': 9.0, 'description': '"Scrooge\'s reflections in The Cratchit House illustrate his evolving understanding of compassion and connection to others."', 'source_id': 'chunk-83ac129dc9b56f84c46760d153d68e93'} -2024-10-30 06:48:50,903 - lightrag - INFO - _check_node_exists:query:MATCH (n:`SCROOGE`) RETURN count(n) > 0 AS node_exists:result:True -2024-10-30 06:48:51,069 - lightrag - INFO - _check_node_exists:query:MATCH (n:`THE CRATCHIT HOUSE`) RETURN count(n) > 0 AS node_exists:result:True -2024-10-30 06:48:51,250 - lightrag - INFO - _do_upsert_edge:query: - MATCH (source:`SCROOGE`) - WITH source - MATCH (target:`THE CRATCHIT HOUSE`) - MERGE (source)-[r:DIRECTED]->(target) - SET r += $properties - RETURN r - :result:None -2024-10-30 06:48:51,433 - lightrag - INFO - _check_edge_existence:query:MATCH (a:`THE HUSBAND`)-[r]-(b:`THE MOTHER`) RETURN COUNT(r) > 0 AS edgeExists:result:True -2024-10-30 06:48:51,568 - lightrag - INFO - get_edge:query: - MATCH (start:`THE HUSBAND`)-[r]->(end:`THE MOTHER`) - RETURN properties(r) as edge_properties - LIMIT 1 - :result:{'keywords': '"marital dynamics, emotional strain"', 'weight': 8.0, 'description': '"The Mother expresses anxiety and eagerness as she interacts with her husband, showcasing the emotional strain caused by uncertainty."', 'source_id': 'chunk-83ac129dc9b56f84c46760d153d68e93'} -2024-10-30 06:48:51,699 - lightrag - INFO - _check_node_exists:query:MATCH (n:`THE HUSBAND`) RETURN count(n) > 0 AS node_exists:result:True -2024-10-30 06:48:51,858 - lightrag - INFO - _check_node_exists:query:MATCH (n:`THE MOTHER`) RETURN count(n) > 0 AS node_exists:result:True -2024-10-30 06:48:52,034 - lightrag - INFO - _do_upsert_edge:query: - MATCH (source:`THE HUSBAND`) - WITH source - MATCH (target:`THE MOTHER`) - MERGE (source)-[r:DIRECTED]->(target) - SET r += $properties - RETURN r - :result:None -2024-10-30 06:48:52,209 - lightrag - INFO - _check_edge_existence:query:MATCH (a:`CAROLINE`)-[r]-(b:`THE HUSBAND`) RETURN COUNT(r) > 0 AS edgeExists:result:True -2024-10-30 06:48:52,343 - lightrag - INFO - get_edge:query: - MATCH (start:`CAROLINE`)-[r]->(end:`THE HUSBAND`) - RETURN properties(r) as edge_properties - LIMIT 1 - :result:{'keywords': '"communication, emotional burden"', 'weight': 7.0, 'description': '"The Husband and Caroline\'s conversation illustrates the tension between optimism and the reality of their situation after receiving distressing news."', 'source_id': 'chunk-83ac129dc9b56f84c46760d153d68e93'} -2024-10-30 06:48:52,475 - lightrag - INFO - _check_node_exists:query:MATCH (n:`CAROLINE`) RETURN count(n) > 0 AS node_exists:result:True -2024-10-30 06:48:52,646 - lightrag - INFO - _check_node_exists:query:MATCH (n:`THE HUSBAND`) RETURN count(n) > 0 AS node_exists:result:True -2024-10-30 06:48:52,820 - lightrag - INFO - _do_upsert_edge:query: - MATCH (source:`CAROLINE`) - WITH source - MATCH (target:`THE HUSBAND`) - MERGE (source)-[r:DIRECTED]->(target) - SET r += $properties - RETURN r - :result:None -2024-10-30 06:48:52,994 - lightrag - INFO - _check_edge_existence:query:MATCH (a:`PETER`)-[r]-(b:`THE CHILDREN`) RETURN COUNT(r) > 0 AS edgeExists:result:True -2024-10-30 06:48:53,126 - lightrag - INFO - get_edge:query: - MATCH (start:`PETER`)-[r]->(end:`THE CHILDREN`) - RETURN properties(r) as edge_properties - LIMIT 1 - :result:{'keywords': '"leadership, sibling dynamics"', 'weight': 6.0, 'description': '"Peter acts as a stabilizing force among The Children, leading them in moments of uncertainty and representing familial responsibility."', 'source_id': 'chunk-83ac129dc9b56f84c46760d153d68e93'} -2024-10-30 06:48:53,255 - lightrag - INFO - _check_node_exists:query:MATCH (n:`PETER`) RETURN count(n) > 0 AS node_exists:result:True -2024-10-30 06:48:53,414 - lightrag - INFO - _check_node_exists:query:MATCH (n:`THE CHILDREN`) RETURN count(n) > 0 AS node_exists:result:True -2024-10-30 06:48:53,596 - lightrag - INFO - _do_upsert_edge:query: - MATCH (source:`PETER`) - WITH source - MATCH (target:`THE CHILDREN`) - MERGE (source)-[r:DIRECTED]->(target) - SET r += $properties - RETURN r - :result:None -2024-10-30 06:48:53,771 - lightrag - INFO - _check_edge_existence:query:MATCH (a:`THE CRATCHIT HOUSE`)-[r]-(b:`THE DEBT`) RETURN COUNT(r) > 0 AS edgeExists:result:True -2024-10-30 06:48:53,904 - lightrag - INFO - get_edge:query: - MATCH (start:`THE CRATCHIT HOUSE`)-[r]->(end:`THE DEBT`) - RETURN properties(r) as edge_properties - LIMIT 1 - :result:{'keywords': '"financial burden, atmosphere"', 'weight': 9.0, 'description': '"The Debt looms over The Cratchit House, contributing to the emotional atmosphere and fears of its inhabitants during the story."', 'source_id': 'chunk-83ac129dc9b56f84c46760d153d68e93'} -2024-10-30 06:48:54,033 - lightrag - INFO - _check_node_exists:query:MATCH (n:`THE CRATCHIT HOUSE`) RETURN count(n) > 0 AS node_exists:result:True -2024-10-30 06:48:54,202 - lightrag - INFO - _check_node_exists:query:MATCH (n:`THE DEBT`) RETURN count(n) > 0 AS node_exists:result:True -2024-10-30 06:48:54,385 - lightrag - INFO - _do_upsert_edge:query: - MATCH (source:`THE CRATCHIT HOUSE`) - WITH source - MATCH (target:`THE DEBT`) - MERGE (source)-[r:DIRECTED]->(target) - SET r += $properties - RETURN r - :result:None -2024-10-30 06:48:54,565 - lightrag - INFO - _check_edge_existence:query:MATCH (a:`CAROLINE`)-[r]-(b:`HOPE`) RETURN COUNT(r) > 0 AS edgeExists:result:True -2024-10-30 06:48:54,698 - lightrag - INFO - get_edge:query: - MATCH (start:`CAROLINE`)-[r]->(end:`HOPE`) - RETURN properties(r) as edge_properties - LIMIT 1 - :result:{'keywords': '"emotional resilience, motivation"', 'weight': 8.0, 'description': '"Hope influences Caroline\'s reactions and actions throughout the story, serving as both a motivator and a source of inner conflict."', 'source_id': 'chunk-83ac129dc9b56f84c46760d153d68e93'} -2024-10-30 06:48:54,822 - lightrag - INFO - _check_node_exists:query:MATCH (n:`CAROLINE`) RETURN count(n) > 0 AS node_exists:result:True -2024-10-30 06:48:54,992 - lightrag - INFO - _check_node_exists:query:MATCH (n:`HOPE`) RETURN count(n) > 0 AS node_exists:result:True -2024-10-30 06:48:55,178 - lightrag - INFO - _do_upsert_edge:query: - MATCH (source:`CAROLINE`) - WITH source - MATCH (target:`HOPE`) - MERGE (source)-[r:DIRECTED]->(target) - SET r += $properties - RETURN r - :result:None -2024-10-30 06:48:55,357 - lightrag - INFO - _check_edge_existence:query:MATCH (a:`BOB CRATCHIT`)-[r]-(b:`MR. SCROOGE'S NEPHEW`) RETURN COUNT(r) > 0 AS edgeExists:result:True -2024-10-30 06:48:55,491 - lightrag - INFO - get_edge:query: - MATCH (start:`BOB CRATCHIT`)-[r]->(end:`MR. SCROOGE'S NEPHEW`) - RETURN properties(r) as edge_properties - LIMIT 1 - :result:{'keywords': '"kindness, support"', 'weight': 7.0, 'description': '"Bob Cratchit shares a positive interaction with Mr. Scrooge\'s Nephew, who expresses kindness and concern for his family."', 'source_id': 'chunk-1d4b58de5429cd1261370c231c8673e8'} -2024-10-30 06:48:55,621 - lightrag - INFO - _check_node_exists:query:MATCH (n:`BOB CRATCHIT`) RETURN count(n) > 0 AS node_exists:result:True -2024-10-30 06:48:55,789 - lightrag - INFO - _check_node_exists:query:MATCH (n:`MR. SCROOGE'S NEPHEW`) RETURN count(n) > 0 AS node_exists:result:True -2024-10-30 06:48:55,975 - lightrag - INFO - _do_upsert_edge:query: - MATCH (source:`BOB CRATCHIT`) - WITH source - MATCH (target:`MR. SCROOGE'S NEPHEW`) - MERGE (source)-[r:DIRECTED]->(target) - SET r += $properties - RETURN r - :result:None -2024-10-30 06:48:56,156 - lightrag - INFO - _check_edge_existence:query:MATCH (a:`BOB CRATCHIT`)-[r]-(b:`PETER`) RETURN COUNT(r) > 0 AS edgeExists:result:True -2024-10-30 06:48:56,286 - lightrag - INFO - get_edge:query: - MATCH (start:`BOB CRATCHIT`)-[r]->(end:`PETER`) - RETURN properties(r) as edge_properties - LIMIT 1 - :result:{'keywords': '"family discussions, support"', 'weight': 6.0, 'description': '"Peter interacts with Bob Cratchit, showing the dynamics of a supportive family unit while discussing aspirations."', 'source_id': 'chunk-1d4b58de5429cd1261370c231c8673e8'} -2024-10-30 06:48:56,420 - lightrag - INFO - _check_node_exists:query:MATCH (n:`BOB CRATCHIT`) RETURN count(n) > 0 AS node_exists:result:True -2024-10-30 06:48:56,586 - lightrag - INFO - _check_node_exists:query:MATCH (n:`PETER`) RETURN count(n) > 0 AS node_exists:result:True -2024-10-30 06:48:56,767 - lightrag - INFO - _do_upsert_edge:query: - MATCH (source:`BOB CRATCHIT`) - WITH source - MATCH (target:`PETER`) - MERGE (source)-[r:DIRECTED]->(target) - SET r += $properties - RETURN r - :result:None -2024-10-30 06:48:56,945 - lightrag - INFO - _check_edge_existence:query:MATCH (a:`CHRISTMAS`)-[r]-(b:`TINY TIM`) RETURN COUNT(r) > 0 AS edgeExists:result:True -2024-10-30 06:48:57,078 - lightrag - INFO - get_edge:query: - MATCH (start:`CHRISTMAS`)-[r]->(end:`TINY TIM`) - RETURN properties(r) as edge_properties - LIMIT 1 - :result:{'keywords': '"innocence, holiday spirit"', 'weight': 9.0, 'description': '"Tiny Tim represents the spirit of Christmas, being cherished by family during this festive occasion."', 'source_id': 'chunk-1d4b58de5429cd1261370c231c8673e8'} -2024-10-30 06:48:57,196 - lightrag - INFO - _check_node_exists:query:MATCH (n:`CHRISTMAS`) RETURN count(n) > 0 AS node_exists:result:True -2024-10-30 06:48:57,358 - lightrag - INFO - _check_node_exists:query:MATCH (n:`TINY TIM`) RETURN count(n) > 0 AS node_exists:result:True -2024-10-30 06:48:57,535 - lightrag - INFO - _do_upsert_edge:query: - MATCH (source:`CHRISTMAS`) - WITH source - MATCH (target:`TINY TIM`) - MERGE (source)-[r:DIRECTED]->(target) - SET r += $properties - RETURN r - :result:None -2024-10-30 06:48:57,716 - lightrag - INFO - _check_edge_existence:query:MATCH (a:`SCROOGE`)-[r]-(b:`THE GHOST OF CHRISTMAS YET TO COME`) RETURN COUNT(r) > 0 AS edgeExists:result:True -2024-10-30 06:48:57,845 - lightrag - INFO - get_edge:query: - MATCH (start:`SCROOGE`)-[r]->(end:`THE GHOST OF CHRISTMAS YET TO COME`) - RETURN properties(r) as edge_properties - LIMIT 1 - :result:{'keywords': '"consequences, change""guidance, self-confrontation"', 'weight': 19.0, 'description': '"The Ghost guides Scrooge to confront his potential future that threatens his existence.""The Ghost is critical in revealing the consequences of Scrooge\'s life choices, pushing for change."', 'source_id': 'chunk-91572b3cd42786ba4cb2f180ca25cbf4'} -2024-10-30 06:48:57,963 - lightrag - INFO - _check_node_exists:query:MATCH (n:`SCROOGE`) RETURN count(n) > 0 AS node_exists:result:True -2024-10-30 06:48:58,132 - lightrag - INFO - _check_node_exists:query:MATCH (n:`THE GHOST OF CHRISTMAS YET TO COME`) RETURN count(n) > 0 AS node_exists:result:True -2024-10-30 06:48:58,311 - lightrag - INFO - _do_upsert_edge:query: - MATCH (source:`SCROOGE`) - WITH source - MATCH (target:`THE GHOST OF CHRISTMAS YET TO COME`) - MERGE (source)-[r:DIRECTED]->(target) - SET r += $properties - RETURN r - :result:None -2024-10-30 06:48:58,490 - lightrag - INFO - _check_edge_existence:query:MATCH (a:`GRAVE`)-[r]-(b:`SCROOGE`) RETURN COUNT(r) > 0 AS edgeExists:result:True -2024-10-30 06:48:58,628 - lightrag - INFO - get_edge:query: - MATCH (start:`GRAVE`)-[r]->(end:`SCROOGE`) - RETURN properties(r) as edge_properties - LIMIT 1 - :result:{'keywords': '"mortality, reflection"', 'weight': 10.0, 'description': '"Scrooge is confronted with his own grave, symbolizing the ultimate outcome of his current lifestyle and actions."', 'source_id': 'chunk-91572b3cd42786ba4cb2f180ca25cbf4'} -2024-10-30 06:48:58,755 - lightrag - INFO - _check_node_exists:query:MATCH (n:`GRAVE`) RETURN count(n) > 0 AS node_exists:result:True -2024-10-30 06:48:58,910 - lightrag - INFO - _check_node_exists:query:MATCH (n:`SCROOGE`) RETURN count(n) > 0 AS node_exists:result:True -2024-10-30 06:48:59,085 - lightrag - INFO - _do_upsert_edge:query: - MATCH (source:`GRAVE`) - WITH source - MATCH (target:`SCROOGE`) - MERGE (source)-[r:DIRECTED]->(target) - SET r += $properties - RETURN r - :result:None -2024-10-30 06:48:59,258 - lightrag - INFO - _check_edge_existence:query:MATCH (a:`CHRISTMAS DAY`)-[r]-(b:`SCROOGE`) RETURN COUNT(r) > 0 AS edgeExists:result:True -2024-10-30 06:48:59,393 - lightrag - INFO - get_edge:query: - MATCH (start:`CHRISTMAS DAY`)-[r]->(end:`SCROOGE`) - RETURN properties(r) as edge_properties - LIMIT 1 - :result:{'keywords': '"seasonal significance, renewal"', 'weight': 9.0, 'description': '"Scrooge\'s change in attitude and actions occur on Christmas Day, making it a pivotal event in his story."', 'source_id': 'chunk-90b95db5c53e4364a6bee36b7aa4d70f'} -2024-10-30 06:48:59,524 - lightrag - INFO - _check_node_exists:query:MATCH (n:`CHRISTMAS DAY`) RETURN count(n) > 0 AS node_exists:result:True -2024-10-30 06:48:59,682 - lightrag - INFO - _check_node_exists:query:MATCH (n:`SCROOGE`) RETURN count(n) > 0 AS node_exists:result:True -2024-10-30 06:48:59,867 - lightrag - INFO - _do_upsert_edge:query: - MATCH (source:`CHRISTMAS DAY`) - WITH source - MATCH (target:`SCROOGE`) - MERGE (source)-[r:DIRECTED]->(target) - SET r += $properties - RETURN r - :result:None -2024-10-30 06:49:00,045 - lightrag - INFO - _check_edge_existence:query:MATCH (a:`BOB CRATCHIT`)-[r]-(b:`THE POULTERER'S`) RETURN COUNT(r) > 0 AS edgeExists:result:True -2024-10-30 06:49:00,181 - lightrag - INFO - get_edge:query: - MATCH (start:`BOB CRATCHIT`)-[r]->(end:`THE POULTERER'S`) - RETURN properties(r) as edge_properties - LIMIT 1 - :result:{'keywords': '"commerce, generosity"', 'weight': 6.0, 'description': '"The Poulterer\'s shop is where Scrooge instructs the boy to buy a turkey for the Cratchit family, linking commerce to kindness."', 'source_id': 'chunk-90b95db5c53e4364a6bee36b7aa4d70f'} -2024-10-30 06:49:00,302 - lightrag - INFO - _check_node_exists:query:MATCH (n:`BOB CRATCHIT`) RETURN count(n) > 0 AS node_exists:result:True -2024-10-30 06:49:00,473 - lightrag - INFO - _check_node_exists:query:MATCH (n:`THE POULTERER'S`) RETURN count(n) > 0 AS node_exists:result:True -2024-10-30 06:49:00,654 - lightrag - INFO - _do_upsert_edge:query: - MATCH (source:`BOB CRATCHIT`) - WITH source - MATCH (target:`THE POULTERER'S`) - MERGE (source)-[r:DIRECTED]->(target) - SET r += $properties - RETURN r - :result:None -2024-10-30 06:49:00,830 - lightrag - INFO - _check_edge_existence:query:MATCH (a:`SCROOGE`)-[r]-(b:`THE GHOST OF CHRISTMAS PRESENT`) RETURN COUNT(r) > 0 AS edgeExists:result:True -2024-10-30 06:49:00,961 - lightrag - INFO - get_edge:query: - MATCH (start:`SCROOGE`)-[r]->(end:`THE GHOST OF CHRISTMAS PRESENT`) - RETURN properties(r) as edge_properties - LIMIT 1 - :result:{'keywords': '"awareness, joy""supernatural guidance, social impact""transformation, guidance"', 'weight': 26.0, 'description': '"The Ghost of Christmas Present exposes Scrooge to the joy and generosity he has been missing.""The Ghost of Christmas Present observes Scrooge\'s transformation and emotional engagement with his memories of Christmas.""The Ghost of Christmas Present shows Scrooge the joy and importance of kindness during Christmas, impacting his perspective on social issues."', 'source_id': 'chunk-90b95db5c53e4364a6bee36b7aa4d70fchunk-43c9bee23adfa77aa9dedd22401bba7dchunk-b0f459f5af1c3a5e0b92cbe4ee48b77b'} -2024-10-30 06:49:01,081 - lightrag - INFO - _check_node_exists:query:MATCH (n:`SCROOGE`) RETURN count(n) > 0 AS node_exists:result:True -2024-10-30 06:49:01,244 - lightrag - INFO - _check_node_exists:query:MATCH (n:`THE GHOST OF CHRISTMAS PRESENT`) RETURN count(n) > 0 AS node_exists:result:True -2024-10-30 06:49:01,420 - lightrag - INFO - _do_upsert_edge:query: - MATCH (source:`SCROOGE`) - WITH source - MATCH (target:`THE GHOST OF CHRISTMAS PRESENT`) - MERGE (source)-[r:DIRECTED]->(target) - SET r += $properties - RETURN r - :result:None -2024-10-30 06:49:01,597 - lightrag - INFO - _check_edge_existence:query:MATCH (a:`SCROOGE`)-[r]-(b:`THE BOY`) RETURN COUNT(r) > 0 AS edgeExists:result:True -2024-10-30 06:49:01,727 - lightrag - INFO - get_edge:query: - MATCH (start:`SCROOGE`)-[r]->(end:`THE BOY`) - RETURN properties(r) as edge_properties - LIMIT 1 - :result:{'keywords': '"generosity, kindness"', 'weight': 8.0, 'description': '"Scrooge interacts with The Boy to deliver the turkey, showing a newfound generosity and connection to others."', 'source_id': 'chunk-8f738cb25d60a7dab782162d9d0a25ed'} -2024-10-30 06:49:01,844 - lightrag - INFO - _check_node_exists:query:MATCH (n:`SCROOGE`) RETURN count(n) > 0 AS node_exists:result:True -2024-10-30 06:49:02,009 - lightrag - INFO - _check_node_exists:query:MATCH (n:`THE BOY`) RETURN count(n) > 0 AS node_exists:result:True -2024-10-30 06:49:02,183 - lightrag - INFO - _do_upsert_edge:query: - MATCH (source:`SCROOGE`) - WITH source - MATCH (target:`THE BOY`) - MERGE (source)-[r:DIRECTED]->(target) - SET r += $properties - RETURN r - :result:None -2024-10-30 06:49:02,360 - lightrag - INFO - _check_edge_existence:query:MATCH (a:`BOB CRATCHIT`)-[r]-(b:`THE CHRISTMAS DINNER`) RETURN COUNT(r) > 0 AS edgeExists:result:True -2024-10-30 06:49:02,494 - lightrag - INFO - get_edge:query: - MATCH (start:`BOB CRATCHIT`)-[r]->(end:`THE CHRISTMAS DINNER`) - RETURN properties(r) as edge_properties - LIMIT 1 - :result:{'keywords': '"family, celebration"', 'weight': 8.0, 'description': '"The Christmas Dinner represents the Cratchit family\'s celebration, with Bob Cratchit at the center of this warm gathering."', 'source_id': 'chunk-90b95db5c53e4364a6bee36b7aa4d70f'} -2024-10-30 06:49:02,613 - lightrag - INFO - _check_node_exists:query:MATCH (n:`BOB CRATCHIT`) RETURN count(n) > 0 AS node_exists:result:True -2024-10-30 06:49:02,782 - lightrag - INFO - _check_node_exists:query:MATCH (n:`THE CHRISTMAS DINNER`) RETURN count(n) > 0 AS node_exists:result:True -2024-10-30 06:49:02,963 - lightrag - INFO - _do_upsert_edge:query: - MATCH (source:`BOB CRATCHIT`) - WITH source - MATCH (target:`THE CHRISTMAS DINNER`) - MERGE (source)-[r:DIRECTED]->(target) - SET r += $properties - RETURN r - :result:None -2024-10-30 06:49:03,143 - lightrag - INFO - _check_edge_existence:query:MATCH (a:`SCROOGE`)-[r]-(b:`THE OLD GENTLEMAN`) RETURN COUNT(r) > 0 AS edgeExists:result:True -2024-10-30 06:49:03,274 - lightrag - INFO - get_edge:query: - MATCH (start:`SCROOGE`)-[r]->(end:`THE OLD GENTLEMAN`) - RETURN properties(r) as edge_properties - LIMIT 1 - :result:{'keywords': '"kindness, transformation"', 'weight': 9.0, 'description': '"Scrooge shows kindness and generosity to The Old Gentleman, marking a significant change in his character and relationships."', 'source_id': 'chunk-8f738cb25d60a7dab782162d9d0a25ed'} -2024-10-30 06:49:03,393 - lightrag - INFO - _check_node_exists:query:MATCH (n:`SCROOGE`) RETURN count(n) > 0 AS node_exists:result:True -2024-10-30 06:49:03,557 - lightrag - INFO - _check_node_exists:query:MATCH (n:`THE OLD GENTLEMAN`) RETURN count(n) > 0 AS node_exists:result:True -2024-10-30 06:49:03,741 - lightrag - INFO - _do_upsert_edge:query: - MATCH (source:`SCROOGE`) - WITH source - MATCH (target:`THE OLD GENTLEMAN`) - MERGE (source)-[r:DIRECTED]->(target) - SET r += $properties - RETURN r - :result:None -2024-10-30 06:49:03,918 - lightrag - INFO - _check_edge_existence:query:MATCH (a:`BOB CRATCHIT`)-[r]-(b:`THE FAMILY`) RETURN COUNT(r) > 0 AS edgeExists:result:True -2024-10-30 06:49:04,050 - lightrag - INFO - get_edge:query: - MATCH (start:`BOB CRATCHIT`)-[r]->(end:`THE FAMILY`) - RETURN properties(r) as edge_properties - LIMIT 1 - :result:{'keywords': '"family, responsibility"', 'weight': 8.0, 'description': '"Bob Cratchit is a central figure in The Family, demonstrating love and responsibility towards his children during Christmas."', 'source_id': 'chunk-94bea83e7153fc2064aa382b494936a1'} -2024-10-30 06:49:04,168 - lightrag - INFO - _check_node_exists:query:MATCH (n:`BOB CRATCHIT`) RETURN count(n) > 0 AS node_exists:result:True -2024-10-30 06:49:04,335 - lightrag - INFO - _check_node_exists:query:MATCH (n:`THE FAMILY`) RETURN count(n) > 0 AS node_exists:result:True -2024-10-30 06:49:04,521 - lightrag - INFO - _do_upsert_edge:query: - MATCH (source:`BOB CRATCHIT`) - WITH source - MATCH (target:`THE FAMILY`) - MERGE (source)-[r:DIRECTED]->(target) - SET r += $properties - RETURN r - :result:None -2024-10-30 06:49:04,692 - lightrag - INFO - _check_edge_existence:query:MATCH (a:`BOB CRATCHIT`)-[r]-(b:`THE TANK`) RETURN COUNT(r) > 0 AS edgeExists:result:True -2024-10-30 06:49:04,827 - lightrag - INFO - get_edge:query: - MATCH (start:`BOB CRATCHIT`)-[r]->(end:`THE TANK`) - RETURN properties(r) as edge_properties - LIMIT 1 - :result:{'keywords': '"workplace, struggle"', 'weight': 7.0, 'description': '"Bob\'s working conditions in The Tank under Scrooge reflect the challenges he faces as a struggling employee supporting his family."', 'source_id': 'chunk-94bea83e7153fc2064aa382b494936a1'} -2024-10-30 06:49:04,943 - lightrag - INFO - _check_node_exists:query:MATCH (n:`BOB CRATCHIT`) RETURN count(n) > 0 AS node_exists:result:True -2024-10-30 06:49:05,109 - lightrag - INFO - _check_node_exists:query:MATCH (n:`THE TANK`) RETURN count(n) > 0 AS node_exists:result:True -2024-10-30 06:49:05,285 - lightrag - INFO - _do_upsert_edge:query: - MATCH (source:`BOB CRATCHIT`) - WITH source - MATCH (target:`THE TANK`) - MERGE (source)-[r:DIRECTED]->(target) - SET r += $properties - RETURN r - :result:None -2024-10-30 06:49:05,466 - lightrag - INFO - _check_edge_existence:query:MATCH (a:`SCROOGE`)-[r]-(b:`SMOKING BISHOP`) RETURN COUNT(r) > 0 AS edgeExists:result:True -2024-10-30 06:49:05,599 - lightrag - INFO - get_edge:query: - MATCH (start:`SCROOGE`)-[r]->(end:`SMOKING BISHOP`) - RETURN properties(r) as edge_properties - LIMIT 1 - :result:{'keywords': '"celebration, warmth"', 'weight': 9.0, 'description': '"Scrooge and Bob\'s plans to enjoy Smoking Bishop together symbolize the welcoming of joy and warmth during the Christmas season."', 'source_id': 'chunk-94bea83e7153fc2064aa382b494936a1'} -2024-10-30 06:49:05,715 - lightrag - INFO - _check_node_exists:query:MATCH (n:`SCROOGE`) RETURN count(n) > 0 AS node_exists:result:True -2024-10-30 06:49:05,884 - lightrag - INFO - _check_node_exists:query:MATCH (n:`SMOKING BISHOP`) RETURN count(n) > 0 AS node_exists:result:True -2024-10-30 06:49:06,063 - lightrag - INFO - _do_upsert_edge:query: - MATCH (source:`SCROOGE`) - WITH source - MATCH (target:`SMOKING BISHOP`) - MERGE (source)-[r:DIRECTED]->(target) - SET r += $properties - RETURN r - :result:None -2024-10-30 06:49:06,236 - lightrag - INFO - _check_edge_existence:query:MATCH (a:`PROJECT GUTENBERG`)-[r]-(b:`THE FOUNDATION`) RETURN COUNT(r) > 0 AS edgeExists:result:True -2024-10-30 06:49:06,368 - lightrag - INFO - get_edge:query: - MATCH (start:`PROJECT GUTENBERG`)-[r]->(end:`THE FOUNDATION`) - RETURN properties(r) as edge_properties - LIMIT 1 - :result:{'keywords': '"organizational governance, copyright management"', 'weight': 9.0, 'description': '"Project Gutenberg is operated and managed by The Foundation, which governs its copyright and licensing aspects."', 'source_id': 'chunk-194cd9680f4967f48bea89678f7ece21'} -2024-10-30 06:49:06,496 - lightrag - INFO - _check_node_exists:query:MATCH (n:`PROJECT GUTENBERG`) RETURN count(n) > 0 AS node_exists:result:True -2024-10-30 06:49:06,667 - lightrag - INFO - _check_node_exists:query:MATCH (n:`THE FOUNDATION`) RETURN count(n) > 0 AS node_exists:result:True -2024-10-30 06:49:06,845 - lightrag - INFO - _do_upsert_edge:query: - MATCH (source:`PROJECT GUTENBERG`) - WITH source - MATCH (target:`THE FOUNDATION`) - MERGE (source)-[r:DIRECTED]->(target) - SET r += $properties - RETURN r - :result:None -2024-10-30 06:49:07,018 - lightrag - INFO - _check_edge_existence:query:MATCH (a:`GENERAL TERMS OF USE`)-[r]-(b:`PROJECT GUTENBERG`) RETURN COUNT(r) > 0 AS edgeExists:result:True -2024-10-30 06:49:07,149 - lightrag - INFO - get_edge:query: - MATCH (start:`GENERAL TERMS OF USE`)-[r]->(end:`PROJECT GUTENBERG`) - RETURN properties(r) as edge_properties - LIMIT 1 - :result:{'keywords': '"regulatory framework, operational guidelines"', 'weight': 7.0, 'description': '"Project Gutenberg operates under specific General Terms of Use that govern the distribution and utilization of its electronic works."', 'source_id': 'chunk-194cd9680f4967f48bea89678f7ece21'} -2024-10-30 06:49:07,276 - lightrag - INFO - _check_node_exists:query:MATCH (n:`GENERAL TERMS OF USE`) RETURN count(n) > 0 AS node_exists:result:True -2024-10-30 06:49:07,446 - lightrag - INFO - _check_node_exists:query:MATCH (n:`PROJECT GUTENBERG`) RETURN count(n) > 0 AS node_exists:result:True -2024-10-30 06:49:07,626 - lightrag - INFO - _do_upsert_edge:query: - MATCH (source:`GENERAL TERMS OF USE`) - WITH source - MATCH (target:`PROJECT GUTENBERG`) - MERGE (source)-[r:DIRECTED]->(target) - SET r += $properties - RETURN r - :result:None -2024-10-30 06:49:07,803 - lightrag - INFO - _check_edge_existence:query:MATCH (a:`PROJECT GUTENBERG`)-[r]-(b:`TRANSCRIBER'S NOTE`) RETURN COUNT(r) > 0 AS edgeExists:result:True -2024-10-30 06:49:07,937 - lightrag - INFO - get_edge:query: - MATCH (start:`PROJECT GUTENBERG`)-[r]->(end:`TRANSCRIBER'S NOTE`) - RETURN properties(r) as edge_properties - LIMIT 1 - :result:{'keywords': '"contextual enhancement, editorial contribution"', 'weight': 6.0, 'description': '"The transcriber\'s note provides additional context about the eBook created and distributed by Project Gutenberg."', 'source_id': 'chunk-194cd9680f4967f48bea89678f7ece21'} -2024-10-30 06:49:08,059 - lightrag - INFO - _check_node_exists:query:MATCH (n:`PROJECT GUTENBERG`) RETURN count(n) > 0 AS node_exists:result:True -2024-10-30 06:49:08,233 - lightrag - INFO - _check_node_exists:query:MATCH (n:`TRANSCRIBER'S NOTE`) RETURN count(n) > 0 AS node_exists:result:True -2024-10-30 06:49:08,410 - lightrag - INFO - _do_upsert_edge:query: - MATCH (source:`PROJECT GUTENBERG`) - WITH source - MATCH (target:`TRANSCRIBER'S NOTE`) - MERGE (source)-[r:DIRECTED]->(target) - SET r += $properties - RETURN r - :result:None -2024-10-30 06:49:08,585 - lightrag - INFO - _check_edge_existence:query:MATCH (a:`THE FOUNDATION`)-[r]-(b:`UNITED STATES COPYRIGHT`) RETURN COUNT(r) > 0 AS edgeExists:result:True -2024-10-30 06:49:08,715 - lightrag - INFO - get_edge:query: - MATCH (start:`THE FOUNDATION`)-[r]->(end:`UNITED STATES COPYRIGHT`) - RETURN properties(r) as edge_properties - LIMIT 1 - :result:{'keywords': '"legal compliance, governance"', 'weight': 8.0, 'description': '"The Foundation operates within the framework of United States copyright laws, which govern its activities and permissions."', 'source_id': 'chunk-194cd9680f4967f48bea89678f7ece21'} -2024-10-30 06:49:08,842 - lightrag - INFO - _check_node_exists:query:MATCH (n:`THE FOUNDATION`) RETURN count(n) > 0 AS node_exists:result:True -2024-10-30 06:49:09,011 - lightrag - INFO - _check_node_exists:query:MATCH (n:`UNITED STATES COPYRIGHT`) RETURN count(n) > 0 AS node_exists:result:True -2024-10-30 06:49:09,183 - lightrag - INFO - _do_upsert_edge:query: - MATCH (source:`THE FOUNDATION`) - WITH source - MATCH (target:`UNITED STATES COPYRIGHT`) - MERGE (source)-[r:DIRECTED]->(target) - SET r += $properties - RETURN r - :result:None -2024-10-30 06:49:09,359 - lightrag - INFO - _check_edge_existence:query:MATCH (a:`ELECTRONIC WORKS`)-[r]-(b:`PROJECT GUTENBERG`) RETURN COUNT(r) > 0 AS edgeExists:result:True -2024-10-30 06:49:09,492 - lightrag - INFO - get_edge:query: - MATCH (start:`ELECTRONIC WORKS`)-[r]->(end:`PROJECT GUTENBERG`) - RETURN properties(r) as edge_properties - LIMIT 1 - :result:{'keywords': '"digital access, literary promotion"', 'weight': 10.0, 'description': '"Project Gutenberg is dedicated to the distribution of electronic works, which are core to its mission."', 'source_id': 'chunk-194cd9680f4967f48bea89678f7ece21'} -2024-10-30 06:49:09,622 - lightrag - INFO - _check_node_exists:query:MATCH (n:`ELECTRONIC WORKS`) RETURN count(n) > 0 AS node_exists:result:True -2024-10-30 06:49:09,784 - lightrag - INFO - _check_node_exists:query:MATCH (n:`PROJECT GUTENBERG`) RETURN count(n) > 0 AS node_exists:result:True -2024-10-30 06:49:09,964 - lightrag - INFO - _do_upsert_edge:query: - MATCH (source:`ELECTRONIC WORKS`) - WITH source - MATCH (target:`PROJECT GUTENBERG`) - MERGE (source)-[r:DIRECTED]->(target) - SET r += $properties - RETURN r - :result:None -2024-10-30 06:49:10,137 - lightrag - INFO - _check_edge_existence:query:MATCH (a:`COPYRIGHT ROYALTIES`)-[r]-(b:`PROJECT GUTENBERG`) RETURN COUNT(r) > 0 AS edgeExists:result:True -2024-10-30 06:49:10,272 - lightrag - INFO - get_edge:query: - MATCH (start:`COPYRIGHT ROYALTIES`)-[r]->(end:`PROJECT GUTENBERG`) - RETURN properties(r) as edge_properties - LIMIT 1 - :result:{'keywords': '"copyright policy, free access"', 'weight': 9.0, 'description': '"Project Gutenberg states that works not protected by U.S. copyright can be distributed without paying copyright royalties."', 'source_id': 'chunk-194cd9680f4967f48bea89678f7ece21'} -2024-10-30 06:49:10,396 - lightrag - INFO - _check_node_exists:query:MATCH (n:`COPYRIGHT ROYALTIES`) RETURN count(n) > 0 AS node_exists:result:True -2024-10-30 06:49:10,553 - lightrag - INFO - _check_node_exists:query:MATCH (n:`PROJECT GUTENBERG`) RETURN count(n) > 0 AS node_exists:result:True -2024-10-30 06:49:10,731 - lightrag - INFO - _do_upsert_edge:query: - MATCH (source:`COPYRIGHT ROYALTIES`) - WITH source - MATCH (target:`PROJECT GUTENBERG`) - MERGE (source)-[r:DIRECTED]->(target) - SET r += $properties - RETURN r - :result:None -2024-10-30 06:49:10,913 - lightrag - INFO - _check_edge_existence:query:MATCH (a:`GENERAL TERMS OF USE`)-[r]-(b:`TRADEMARK LICENSE`) RETURN COUNT(r) > 0 AS edgeExists:result:True -2024-10-30 06:49:11,045 - lightrag - INFO - get_edge:query: - MATCH (start:`GENERAL TERMS OF USE`)-[r]->(end:`TRADEMARK LICENSE`) - RETURN properties(r) as edge_properties - LIMIT 1 - :result:{'keywords': '"operational policy, trademark protection"', 'weight': 7.0, 'description': '"The General Terms of Use outlines the conditions that must be adhered to regarding the use of the Project Gutenberg trademark."', 'source_id': 'chunk-194cd9680f4967f48bea89678f7ece21'} -2024-10-30 06:49:11,175 - lightrag - INFO - _check_node_exists:query:MATCH (n:`GENERAL TERMS OF USE`) RETURN count(n) > 0 AS node_exists:result:True -2024-10-30 06:49:11,340 - lightrag - INFO - _check_node_exists:query:MATCH (n:`TRADEMARK LICENSE`) RETURN count(n) > 0 AS node_exists:result:True -2024-10-30 06:49:11,518 - lightrag - INFO - _do_upsert_edge:query: - MATCH (source:`GENERAL TERMS OF USE`) - WITH source - MATCH (target:`TRADEMARK LICENSE`) - MERGE (source)-[r:DIRECTED]->(target) - SET r += $properties - RETURN r - :result:None -2024-10-30 06:49:11,698 - lightrag - INFO - _check_edge_existence:query:MATCH (a:`PROJECT GUTENBERG LITERARY ARCHIVE FOUNDATION`)-[r]-(b:`PROJECT GUTENBERG`) RETURN COUNT(r) > 0 AS edgeExists:result:True -2024-10-30 06:49:11,829 - lightrag - INFO - get_edge:query: - MATCH (start:`PROJECT GUTENBERG LITERARY ARCHIVE FOUNDATION`)-[r]->(end:`PROJECT GUTENBERG`) - RETURN properties(r) as edge_properties - LIMIT 1 - :result:{'keywords': '"management, oversight"', 'weight': 8.0, 'description': '"The Project Gutenberg Literary Archive Foundation is responsible for managing the trademark of Project Gutenberg and ensuring compliance with its licensing terms."', 'source_id': 'chunk-af4ae173c561e4594c5aea96198cce9d'} -2024-10-30 06:49:11,965 - lightrag - INFO - _check_node_exists:query:MATCH (n:`PROJECT GUTENBERG LITERARY ARCHIVE FOUNDATION`) RETURN count(n) > 0 AS node_exists:result:True -2024-10-30 06:49:12,121 - lightrag - INFO - _check_node_exists:query:MATCH (n:`PROJECT GUTENBERG`) RETURN count(n) > 0 AS node_exists:result:True -2024-10-30 06:49:12,300 - lightrag - INFO - _do_upsert_edge:query: - MATCH (source:`PROJECT GUTENBERG LITERARY ARCHIVE FOUNDATION`) - WITH source - MATCH (target:`PROJECT GUTENBERG`) - MERGE (source)-[r:DIRECTED]->(target) - SET r += $properties - RETURN r - :result:None -2024-10-30 06:49:12,479 - lightrag - INFO - _check_edge_existence:query:MATCH (a:`PROJECT GUTENBERG`)-[r]-(b:`U.S. COPYRIGHT LAW`) RETURN COUNT(r) > 0 AS edgeExists:result:True -2024-10-30 06:49:12,612 - lightrag - INFO - get_edge:query: - MATCH (start:`PROJECT GUTENBERG`)-[r]->(end:`U.S. COPYRIGHT LAW`) - RETURN properties(r) as edge_properties - LIMIT 1 - :result:{'keywords': '"legal compliance, copyright influence""legal compliance, operational limitations"', 'weight': 16.0, 'description': '"Project Gutenberg operates within the parameters of U.S. Copyright Law to ensure that its activities align with legal standards.""Project Gutenberg\'s operations are significantly influenced by U.S. Copyright Law, which dictates how works can be shared and accessed."', 'source_id': 'chunk-af4ae173c561e4594c5aea96198cce9dchunk-c51b3dc560b408cce12cdfe5c9c94f57'} -2024-10-30 06:49:12,730 - lightrag - INFO - _check_node_exists:query:MATCH (n:`PROJECT GUTENBERG`) RETURN count(n) > 0 AS node_exists:result:True -2024-10-30 06:49:12,896 - lightrag - INFO - _check_node_exists:query:MATCH (n:`U.S. COPYRIGHT LAW`) RETURN count(n) > 0 AS node_exists:result:True -2024-10-30 06:49:13,077 - lightrag - INFO - _do_upsert_edge:query: - MATCH (source:`PROJECT GUTENBERG`) - WITH source - MATCH (target:`U.S. COPYRIGHT LAW`) - MERGE (source)-[r:DIRECTED]->(target) - SET r += $properties - RETURN r - :result:None -2024-10-30 06:49:13,256 - lightrag - INFO - _check_edge_existence:query:MATCH (a:`EBOOK`)-[r]-(b:`PROJECT GUTENBERG`) RETURN COUNT(r) > 0 AS edgeExists:result:True -2024-10-30 06:49:13,390 - lightrag - INFO - get_edge:query: - MATCH (start:`EBOOK`)-[r]->(end:`PROJECT GUTENBERG`) - RETURN properties(r) as edge_properties - LIMIT 1 - :result:{'keywords': '"digital library, access"', 'weight': 9.0, 'description': '"Project Gutenberg provides access to eBooks that follow specific terms of distribution as established in its license."', 'source_id': 'chunk-af4ae173c561e4594c5aea96198cce9d'} -2024-10-30 06:49:13,522 - lightrag - INFO - _check_node_exists:query:MATCH (n:`EBOOK`) RETURN count(n) > 0 AS node_exists:result:True -2024-10-30 06:49:13,681 - lightrag - INFO - _check_node_exists:query:MATCH (n:`PROJECT GUTENBERG`) RETURN count(n) > 0 AS node_exists:result:True -2024-10-30 06:49:13,857 - lightrag - INFO - _do_upsert_edge:query: - MATCH (source:`EBOOK`) - WITH source - MATCH (target:`PROJECT GUTENBERG`) - MERGE (source)-[r:DIRECTED]->(target) - SET r += $properties - RETURN r - :result:None -2024-10-30 06:49:14,032 - lightrag - INFO - _check_edge_existence:query:MATCH (a:`PROJECT GUTENBERG`)-[r]-(b:`UNITED STATES`) RETURN COUNT(r) > 0 AS edgeExists:result:True -2024-10-30 06:49:14,165 - lightrag - INFO - get_edge:query: - MATCH (start:`PROJECT GUTENBERG`)-[r]->(end:`UNITED STATES`) - RETURN properties(r) as edge_properties - LIMIT 1 - :result:{'keywords': '"legal framework, copyright law"', 'weight': 8.0, 'description': '"Project Gutenberg operates within the legal framework of the United States, influencing its copyright policies and user access."', 'source_id': 'chunk-194cd9680f4967f48bea89678f7ece21'} -2024-10-30 06:49:14,283 - lightrag - INFO - _check_node_exists:query:MATCH (n:`PROJECT GUTENBERG`) RETURN count(n) > 0 AS node_exists:result:True -2024-10-30 06:49:14,446 - lightrag - INFO - _check_node_exists:query:MATCH (n:`UNITED STATES`) RETURN count(n) > 0 AS node_exists:result:True -2024-10-30 06:49:14,630 - lightrag - INFO - _do_upsert_edge:query: - MATCH (source:`PROJECT GUTENBERG`) - WITH source - MATCH (target:`UNITED STATES`) - MERGE (source)-[r:DIRECTED]->(target) - SET r += $properties - RETURN r - :result:None -2024-10-30 06:49:14,809 - lightrag - INFO - _check_edge_existence:query:MATCH (a:`PROJECT GUTENBERG LITERARY ARCHIVE FOUNDATION`)-[r]-(b:`ROYALTY PAYMENTS`) RETURN COUNT(r) > 0 AS edgeExists:result:True -2024-10-30 06:49:14,942 - lightrag - INFO - get_edge:query: - MATCH (start:`PROJECT GUTENBERG LITERARY ARCHIVE FOUNDATION`)-[r]->(end:`ROYALTY PAYMENTS`) - RETURN properties(r) as edge_properties - LIMIT 1 - :result:{'keywords': '"financial management, trademark"', 'weight': 7.0, 'description': '"The Project Gutenberg Literary Archive Foundation oversees the management and collection of Royalty Payments for the use of their trademark."', 'source_id': 'chunk-af4ae173c561e4594c5aea96198cce9d'} -2024-10-30 06:49:15,068 - lightrag - INFO - _check_node_exists:query:MATCH (n:`PROJECT GUTENBERG LITERARY ARCHIVE FOUNDATION`) RETURN count(n) > 0 AS node_exists:result:True -2024-10-30 06:49:15,234 - lightrag - INFO - _check_node_exists:query:MATCH (n:`ROYALTY PAYMENTS`) RETURN count(n) > 0 AS node_exists:result:True -2024-10-30 06:49:15,412 - lightrag - INFO - _do_upsert_edge:query: - MATCH (source:`PROJECT GUTENBERG LITERARY ARCHIVE FOUNDATION`) - WITH source - MATCH (target:`ROYALTY PAYMENTS`) - MERGE (source)-[r:DIRECTED]->(target) - SET r += $properties - RETURN r - :result:None -2024-10-30 06:49:15,652 - lightrag - INFO - _check_edge_existence:query:MATCH (a:`COPYRIGHT HOLDER`)-[r]-(b:`PROJECT GUTENBERG`) RETURN COUNT(r) > 0 AS edgeExists:result:True -2024-10-30 06:49:15,786 - lightrag - INFO - get_edge:query: - MATCH (start:`COPYRIGHT HOLDER`)-[r]->(end:`PROJECT GUTENBERG`) - RETURN properties(r) as edge_properties - LIMIT 1 - :result:{'keywords': '"permission, rights management"', 'weight': 8.0, 'description': '"Copyright Holders have the authority to grant permission for works posted on Project Gutenberg, influencing availability and distribution."', 'source_id': 'chunk-af4ae173c561e4594c5aea96198cce9d'} -2024-10-30 06:49:15,917 - lightrag - INFO - _check_node_exists:query:MATCH (n:`COPYRIGHT HOLDER`) RETURN count(n) > 0 AS node_exists:result:True -2024-10-30 06:49:16,077 - lightrag - INFO - _check_node_exists:query:MATCH (n:`PROJECT GUTENBERG`) RETURN count(n) > 0 AS node_exists:result:True -2024-10-30 06:49:16,258 - lightrag - INFO - _do_upsert_edge:query: - MATCH (source:`COPYRIGHT HOLDER`) - WITH source - MATCH (target:`PROJECT GUTENBERG`) - MERGE (source)-[r:DIRECTED]->(target) - SET r += $properties - RETURN r - :result:None -2024-10-30 06:49:16,435 - lightrag - INFO - _check_edge_existence:query:MATCH (a:`DISTRIBUTION TERMS`)-[r]-(b:`PARAGRAPHS 1.E.1 THROUGH 1.E.9`) RETURN COUNT(r) > 0 AS edgeExists:result:True -2024-10-30 06:49:16,564 - lightrag - INFO - get_edge:query: - MATCH (start:`DISTRIBUTION TERMS`)-[r]->(end:`PARAGRAPHS 1.E.1 THROUGH 1.E.9`) - RETURN properties(r) as edge_properties - LIMIT 1 - :result:{'keywords': '"guidelines, usage conditions"', 'weight': 9.0, 'description': '"Paragraphs 1.E.1 through 1.E.9 specify the Distribution Terms that govern how Project Gutenberg\'s works can be used and shared."', 'source_id': 'chunk-af4ae173c561e4594c5aea96198cce9d'} -2024-10-30 06:49:16,691 - lightrag - INFO - _check_node_exists:query:MATCH (n:`DISTRIBUTION TERMS`) RETURN count(n) > 0 AS node_exists:result:True -2024-10-30 06:49:16,857 - lightrag - INFO - _check_node_exists:query:MATCH (n:`PARAGRAPHS 1.E.1 THROUGH 1.E.9`) RETURN count(n) > 0 AS node_exists:result:True -2024-10-30 06:49:17,039 - lightrag - INFO - _do_upsert_edge:query: - MATCH (source:`DISTRIBUTION TERMS`) - WITH source - MATCH (target:`PARAGRAPHS 1.E.1 THROUGH 1.E.9`) - MERGE (source)-[r:DIRECTED]->(target) - SET r += $properties - RETURN r - :result:None -2024-10-30 06:49:17,212 - lightrag - INFO - _check_edge_existence:query:MATCH (a:`PROJECT GUTENBERG`)-[r]-(b:`VOLUNTEERS`) RETURN COUNT(r) > 0 AS edgeExists:result:True -2024-10-30 06:49:17,343 - lightrag - INFO - get_edge:query: - MATCH (start:`PROJECT GUTENBERG`)-[r]->(end:`VOLUNTEERS`) - RETURN properties(r) as edge_properties - LIMIT 1 - :result:{'keywords': '"volunteer contributions, organizational structure"', 'weight': 9.0, 'description': '"Volunteers are essential to the mission of Project Gutenberg, contributing significantly to the maintenance and distribution of the collection."', 'source_id': 'chunk-c51b3dc560b408cce12cdfe5c9c94f57'} -2024-10-30 06:49:17,463 - lightrag - INFO - _check_node_exists:query:MATCH (n:`PROJECT GUTENBERG`) RETURN count(n) > 0 AS node_exists:result:True -2024-10-30 06:49:17,634 - lightrag - INFO - _check_node_exists:query:MATCH (n:`VOLUNTEERS`) RETURN count(n) > 0 AS node_exists:result:True -2024-10-30 06:49:17,808 - lightrag - INFO - _do_upsert_edge:query: - MATCH (source:`PROJECT GUTENBERG`) - WITH source - MATCH (target:`VOLUNTEERS`) - MERGE (source)-[r:DIRECTED]->(target) - SET r += $properties - RETURN r - :result:None -2024-10-30 06:49:17,985 - lightrag - INFO - _check_edge_existence:query:MATCH (a:`MISSISSIPPI`)-[r]-(b:`PROJECT GUTENBERG LITERARY ARCHIVE FOUNDATION`) RETURN COUNT(r) > 0 AS edgeExists:result:True -2024-10-30 06:49:18,118 - lightrag - INFO - get_edge:query: - MATCH (start:`MISSISSIPPI`)-[r]->(end:`PROJECT GUTENBERG LITERARY ARCHIVE FOUNDATION`) - RETURN properties(r) as edge_properties - LIMIT 1 - :result:{'keywords': '"legal framework, organizational base""legal identity, location"', 'weight': 13.0, 'description': '"The Foundation is organized under the laws of Mississippi, establishing its legal framework.""The Project Gutenberg Literary Archive Foundation is organized under the laws of Mississippi, linking its operations to the state."', 'source_id': 'chunk-c51b3dc560b408cce12cdfe5c9c94f57chunk-85f77f5e3a9aba01133555a2d20e2fd8'} -2024-10-30 06:49:18,248 - lightrag - INFO - _check_node_exists:query:MATCH (n:`MISSISSIPPI`) RETURN count(n) > 0 AS node_exists:result:True -2024-10-30 06:49:18,409 - lightrag - INFO - _check_node_exists:query:MATCH (n:`PROJECT GUTENBERG LITERARY ARCHIVE FOUNDATION`) RETURN count(n) > 0 AS node_exists:result:True -2024-10-30 06:49:18,583 - lightrag - INFO - _do_upsert_edge:query: - MATCH (source:`MISSISSIPPI`) - WITH source - MATCH (target:`PROJECT GUTENBERG LITERARY ARCHIVE FOUNDATION`) - MERGE (source)-[r:DIRECTED]->(target) - SET r += $properties - RETURN r - :result:None -2024-10-30 06:49:18,766 - lightrag - INFO - _check_edge_existence:query:MATCH (a:`PROJECT GUTENBERG LITERARY ARCHIVE FOUNDATION`)-[r]-(b:`SALT LAKE CITY`) RETURN COUNT(r) > 0 AS edgeExists:result:True -2024-10-30 06:49:18,899 - lightrag - INFO - get_edge:query: - MATCH (start:`PROJECT GUTENBERG LITERARY ARCHIVE FOUNDATION`)-[r]->(end:`SALT LAKE CITY`) - RETURN properties(r) as edge_properties - LIMIT 1 - :result:{'keywords': '"operational base, location""organizational presence, location"', 'weight': 15.0, 'description': '"The Foundation has its business office in Salt Lake City, establishing a geographic link to its operations.""The Project Gutenberg Literary Archive Foundation has its business office located in Salt Lake City, establishing a physical presence there."', 'source_id': 'chunk-c51b3dc560b408cce12cdfe5c9c94f57chunk-85f77f5e3a9aba01133555a2d20e2fd8'} -2024-10-30 06:49:19,019 - lightrag - INFO - _check_node_exists:query:MATCH (n:`PROJECT GUTENBERG LITERARY ARCHIVE FOUNDATION`) RETURN count(n) > 0 AS node_exists:result:True -2024-10-30 06:49:19,189 - lightrag - INFO - _check_node_exists:query:MATCH (n:`SALT LAKE CITY`) RETURN count(n) > 0 AS node_exists:result:True -2024-10-30 06:49:19,360 - lightrag - INFO - _do_upsert_edge:query: - MATCH (source:`PROJECT GUTENBERG LITERARY ARCHIVE FOUNDATION`) - WITH source - MATCH (target:`SALT LAKE CITY`) - MERGE (source)-[r:DIRECTED]->(target) - SET r += $properties - RETURN r - :result:None -2024-10-30 06:49:19,543 - lightrag - INFO - _check_edge_existence:query:MATCH (a:`DEFECTS`)-[r]-(b:`PROJECT GUTENBERG`) RETURN COUNT(r) > 0 AS edgeExists:result:True -2024-10-30 06:49:19,674 - lightrag - INFO - get_edge:query: - MATCH (start:`DEFECTS`)-[r]->(end:`PROJECT GUTENBERG`) - RETURN properties(r) as edge_properties - LIMIT 1 - :result:{'keywords': '"quality assurance, operational challenges"', 'weight': 6.0, 'description': '"The existence of Defects poses challenges to Project Gutenberg\'s integrity and reliability as it seeks to provide quality electronic works."', 'source_id': 'chunk-c51b3dc560b408cce12cdfe5c9c94f57'} -2024-10-30 06:49:19,802 - lightrag - INFO - _check_node_exists:query:MATCH (n:`DEFECTS`) RETURN count(n) > 0 AS node_exists:result:True -2024-10-30 06:49:19,970 - lightrag - INFO - _check_node_exists:query:MATCH (n:`PROJECT GUTENBERG`) RETURN count(n) > 0 AS node_exists:result:True -2024-10-30 06:49:20,150 - lightrag - INFO - _do_upsert_edge:query: - MATCH (source:`DEFECTS`) - WITH source - MATCH (target:`PROJECT GUTENBERG`) - MERGE (source)-[r:DIRECTED]->(target) - SET r += $properties - RETURN r - :result:None -2024-10-30 06:49:20,326 - lightrag - INFO - _check_edge_existence:query:MATCH (a:`LEGAL FEES`)-[r]-(b:`VOLUNTEERS`) RETURN COUNT(r) > 0 AS edgeExists:result:True -2024-10-30 06:49:20,457 - lightrag - INFO - get_edge:query: - MATCH (start:`LEGAL FEES`)-[r]->(end:`VOLUNTEERS`) - RETURN properties(r) as edge_properties - LIMIT 1 - :result:{'keywords': '"legal implications, volunteer risks"', 'weight': 5.0, 'description': '"Volunteers may incur Legal Fees if involved in litigation regarding the distribution of Project Gutenberg works or related matters."', 'source_id': 'chunk-c51b3dc560b408cce12cdfe5c9c94f57'} -2024-10-30 06:49:20,584 - lightrag - INFO - _check_node_exists:query:MATCH (n:`LEGAL FEES`) RETURN count(n) > 0 AS node_exists:result:True -2024-10-30 06:49:20,750 - lightrag - INFO - _check_node_exists:query:MATCH (n:`VOLUNTEERS`) RETURN count(n) > 0 AS node_exists:result:True -2024-10-30 06:49:20,926 - lightrag - INFO - _do_upsert_edge:query: - MATCH (source:`LEGAL FEES`) - WITH source - MATCH (target:`VOLUNTEERS`) - MERGE (source)-[r:DIRECTED]->(target) - SET r += $properties - RETURN r - :result:None -2024-10-30 06:49:21,102 - lightrag - INFO - _check_edge_existence:query:MATCH (a:`CONTRIBUTIONS`)-[r]-(b:`PROJECT GUTENBERG LITERARY ARCHIVE FOUNDATION`) RETURN COUNT(r) > 0 AS edgeExists:result:True -2024-10-30 06:49:21,232 - lightrag - INFO - get_edge:query: - MATCH (start:`CONTRIBUTIONS`)-[r]->(end:`PROJECT GUTENBERG LITERARY ARCHIVE FOUNDATION`) - RETURN properties(r) as edge_properties - LIMIT 1 - :result:{'keywords': '"funding, operational sustainability"', 'weight': 9.0, 'description': '"Contributions are essential for the operational viability of the Foundation, directly supporting its mission."', 'source_id': 'chunk-85f77f5e3a9aba01133555a2d20e2fd8'} -2024-10-30 06:49:21,363 - lightrag - INFO - _check_node_exists:query:MATCH (n:`CONTRIBUTIONS`) RETURN count(n) > 0 AS node_exists:result:True -2024-10-30 06:49:21,521 - lightrag - INFO - _check_node_exists:query:MATCH (n:`PROJECT GUTENBERG LITERARY ARCHIVE FOUNDATION`) RETURN count(n) > 0 AS node_exists:result:True -2024-10-30 06:49:21,697 - lightrag - INFO - _do_upsert_edge:query: - MATCH (source:`CONTRIBUTIONS`) - WITH source - MATCH (target:`PROJECT GUTENBERG LITERARY ARCHIVE FOUNDATION`) - MERGE (source)-[r:DIRECTED]->(target) - SET r += $properties - RETURN r - :result:None -2024-10-30 06:49:21,881 - lightrag - INFO - _check_edge_existence:query:MATCH (a:`PROJECT GUTENBERG LITERARY ARCHIVE FOUNDATION`)-[r]-(b:`U.S. INTERNAL REVENUE SERVICE`) RETURN COUNT(r) > 0 AS edgeExists:result:True -2024-10-30 06:49:22,016 - lightrag - INFO - get_edge:query: - MATCH (start:`PROJECT GUTENBERG LITERARY ARCHIVE FOUNDATION`)-[r]->(end:`U.S. INTERNAL REVENUE SERVICE`) - RETURN properties(r) as edge_properties - LIMIT 1 - :result:{'keywords': '"financial oversight, tax compliance"', 'weight': 10.0, 'description': '"The Foundation\'s tax-exempt status is granted by the U.S. Internal Revenue Service, which oversees its financial compliance."', 'source_id': 'chunk-85f77f5e3a9aba01133555a2d20e2fd8'} -2024-10-30 06:49:22,134 - lightrag - INFO - _check_node_exists:query:MATCH (n:`PROJECT GUTENBERG LITERARY ARCHIVE FOUNDATION`) RETURN count(n) > 0 AS node_exists:result:True -2024-10-30 06:49:22,303 - lightrag - INFO - _check_node_exists:query:MATCH (n:`U.S. INTERNAL REVENUE SERVICE`) RETURN count(n) > 0 AS node_exists:result:True -2024-10-30 06:49:22,485 - lightrag - INFO - _do_upsert_edge:query: - MATCH (source:`PROJECT GUTENBERG LITERARY ARCHIVE FOUNDATION`) - WITH source - MATCH (target:`U.S. INTERNAL REVENUE SERVICE`) - MERGE (source)-[r:DIRECTED]->(target) - SET r += $properties - RETURN r - :result:None -2024-10-30 06:49:22,657 - lightrag - INFO - _check_edge_existence:query:MATCH (a:`MICHAEL S. HART`)-[r]-(b:`PROJECT GUTENBERG LITERARY ARCHIVE FOUNDATION`) RETURN COUNT(r) > 0 AS edgeExists:result:True -2024-10-30 06:49:22,788 - lightrag - INFO - get_edge:query: - MATCH (start:`MICHAEL S. HART`)-[r]->(end:`PROJECT GUTENBERG LITERARY ARCHIVE FOUNDATION`) - RETURN properties(r) as edge_properties - LIMIT 1 - :result:{'keywords': '"founder, mission creation"', 'weight': 9.0, 'description': '"Michael S. Hart is the originator of the Project Gutenberg concept, instrumental in establishing its mission and operations."', 'source_id': 'chunk-85f77f5e3a9aba01133555a2d20e2fd8'} -2024-10-30 06:49:22,917 - lightrag - INFO - _check_node_exists:query:MATCH (n:`MICHAEL S. HART`) RETURN count(n) > 0 AS node_exists:result:True -2024-10-30 06:49:23,076 - lightrag - INFO - _check_node_exists:query:MATCH (n:`PROJECT GUTENBERG LITERARY ARCHIVE FOUNDATION`) RETURN count(n) > 0 AS node_exists:result:True -2024-10-30 06:49:23,256 - lightrag - INFO - _do_upsert_edge:query: - MATCH (source:`MICHAEL S. HART`) - WITH source - MATCH (target:`PROJECT GUTENBERG LITERARY ARCHIVE FOUNDATION`) - MERGE (source)-[r:DIRECTED]->(target) - SET r += $properties - RETURN r - :result:None -2024-10-30 06:49:23,434 - lightrag - INFO - _check_edge_existence:query:MATCH (a:`DONATIONS`)-[r]-(b:`PROJECT GUTENBERG LITERARY ARCHIVE FOUNDATION`) RETURN COUNT(r) > 0 AS edgeExists:result:True -2024-10-30 06:49:23,570 - lightrag - INFO - get_edge:query: - MATCH (start:`DONATIONS`)-[r]->(end:`PROJECT GUTENBERG LITERARY ARCHIVE FOUNDATION`) - RETURN properties(r) as edge_properties - LIMIT 1 - :result:{'keywords': '"financial support, project funding"', 'weight': 9.0, 'description': '"Donations are critical financial support for the Foundation, enabling its initiatives and projects."', 'source_id': 'chunk-85f77f5e3a9aba01133555a2d20e2fd8'} -2024-10-30 06:49:23,701 - lightrag - INFO - _check_node_exists:query:MATCH (n:`DONATIONS`) RETURN count(n) > 0 AS node_exists:result:True -2024-10-30 06:49:23,857 - lightrag - INFO - _check_node_exists:query:MATCH (n:`PROJECT GUTENBERG LITERARY ARCHIVE FOUNDATION`) RETURN count(n) > 0 AS node_exists:result:True -2024-10-30 06:49:24,033 - lightrag - INFO - _do_upsert_edge:query: - MATCH (source:`DONATIONS`) - WITH source - MATCH (target:`PROJECT GUTENBERG LITERARY ARCHIVE FOUNDATION`) - MERGE (source)-[r:DIRECTED]->(target) - SET r += $properties - RETURN r - :result:None -2024-10-30 06:49:24,210 - lightrag - INFO - _check_edge_existence:query:MATCH (a:`MICHAEL S. HART`)-[r]-(b:`PROJECT GUTENBERG EBOOKS`) RETURN COUNT(r) > 0 AS edgeExists:result:True -2024-10-30 06:49:24,337 - lightrag - INFO - get_edge:query: - MATCH (start:`MICHAEL S. HART`)-[r]->(end:`PROJECT GUTENBERG EBOOKS`) - RETURN properties(r) as edge_properties - LIMIT 1 - :result:{'keywords': '"content creation, legacy"', 'weight': 8.0, 'description': '"Michael S. Hart has been instrumental in the production and distribution of Project Gutenberg eBooks over forty years."', 'source_id': 'chunk-85f77f5e3a9aba01133555a2d20e2fd8'} -2024-10-30 06:49:24,460 - lightrag - INFO - _check_node_exists:query:MATCH (n:`MICHAEL S. HART`) RETURN count(n) > 0 AS node_exists:result:True -2024-10-30 06:49:24,622 - lightrag - INFO - _check_node_exists:query:MATCH (n:`PROJECT GUTENBERG EBOOKS`) RETURN count(n) > 0 AS node_exists:result:True -2024-10-30 06:49:24,801 - lightrag - INFO - _do_upsert_edge:query: - MATCH (source:`MICHAEL S. HART`) - WITH source - MATCH (target:`PROJECT GUTENBERG EBOOKS`) - MERGE (source)-[r:DIRECTED]->(target) - SET r += $properties - RETURN r - :result:None -2024-10-30 06:49:24,978 - lightrag - INFO - _check_edge_existence:query:MATCH (a:`501(C)(3)`)-[r]-(b:`PROJECT GUTENBERG LITERARY ARCHIVE FOUNDATION`) RETURN COUNT(r) > 0 AS edgeExists:result:True -2024-10-30 06:49:25,110 - lightrag - INFO - get_edge:query: - MATCH (start:`501(C)(3)`)-[r]->(end:`PROJECT GUTENBERG LITERARY ARCHIVE FOUNDATION`) - RETURN properties(r) as edge_properties - LIMIT 1 - :result:{'keywords': '"tax status, charitable organization"', 'weight': 9.0, 'description': '"The Project Gutenberg Literary Archive Foundation operates under the 501(c)(3) tax-exempt status, allowing it to receive tax-deductible donations."', 'source_id': 'chunk-85f77f5e3a9aba01133555a2d20e2fd8'} -2024-10-30 06:49:25,241 - lightrag - INFO - _check_node_exists:query:MATCH (n:`501(C)(3)`) RETURN count(n) > 0 AS node_exists:result:True -2024-10-30 06:49:25,399 - lightrag - INFO - _check_node_exists:query:MATCH (n:`PROJECT GUTENBERG LITERARY ARCHIVE FOUNDATION`) RETURN count(n) > 0 AS node_exists:result:True -2024-10-30 06:49:25,572 - lightrag - INFO - _do_upsert_edge:query: - MATCH (source:`501(C)(3)`) - WITH source - MATCH (target:`PROJECT GUTENBERG LITERARY ARCHIVE FOUNDATION`) - MERGE (source)-[r:DIRECTED]->(target) - SET r += $properties - RETURN r - :result:None -2024-10-30 06:49:25,745 - lightrag - INFO - _check_edge_existence:query:MATCH (a:`EIN 64-6221541`)-[r]-(b:`PROJECT GUTENBERG LITERARY ARCHIVE FOUNDATION`) RETURN COUNT(r) > 0 AS edgeExists:result:True -2024-10-30 06:49:25,878 - lightrag - INFO - get_edge:query: - MATCH (start:`EIN 64-6221541`)-[r]->(end:`PROJECT GUTENBERG LITERARY ARCHIVE FOUNDATION`) - RETURN properties(r) as edge_properties - LIMIT 1 - :result:{'keywords': '"tax identification, compliance"', 'weight': 8.0, 'description': '"The EIN serves as the foundation\'s identification for tax purposes, linking it to federal tax compliance."', 'source_id': 'chunk-85f77f5e3a9aba01133555a2d20e2fd8'} -2024-10-30 06:49:26,006 - lightrag - INFO - _check_node_exists:query:MATCH (n:`EIN 64-6221541`) RETURN count(n) > 0 AS node_exists:result:True -2024-10-30 06:49:26,165 - lightrag - INFO - _check_node_exists:query:MATCH (n:`PROJECT GUTENBERG LITERARY ARCHIVE FOUNDATION`) RETURN count(n) > 0 AS node_exists:result:True -2024-10-30 06:49:26,344 - lightrag - INFO - _do_upsert_edge:query: - MATCH (source:`EIN 64-6221541`) - WITH source - MATCH (target:`PROJECT GUTENBERG LITERARY ARCHIVE FOUNDATION`) - MERGE (source)-[r:DIRECTED]->(target) - SET r += $properties - RETURN r - :result:None -2024-10-30 06:49:26,518 - lightrag - INFO - _check_edge_existence:query:MATCH (a:`PROJECT GUTENBERG LITERARY ARCHIVE FOUNDATION`)-[r]-(b:`U.S. FEDERAL LAWS`) RETURN COUNT(r) > 0 AS edgeExists:result:True -2024-10-30 06:49:26,646 - lightrag - INFO - get_edge:query: - MATCH (start:`PROJECT GUTENBERG LITERARY ARCHIVE FOUNDATION`)-[r]->(end:`U.S. FEDERAL LAWS`) - RETURN properties(r) as edge_properties - LIMIT 1 - :result:{'keywords': '"legal compliance, federal regulations"', 'weight': 9.0, 'description': '"The Foundation must comply with U.S. federal laws regarding charitable donations and tax-exempt status."', 'source_id': 'chunk-85f77f5e3a9aba01133555a2d20e2fd8'} -2024-10-30 06:49:26,763 - lightrag - INFO - _check_node_exists:query:MATCH (n:`PROJECT GUTENBERG LITERARY ARCHIVE FOUNDATION`) RETURN count(n) > 0 AS node_exists:result:True -2024-10-30 06:49:26,931 - lightrag - INFO - _check_node_exists:query:MATCH (n:`U.S. FEDERAL LAWS`) RETURN count(n) > 0 AS node_exists:result:True -2024-10-30 06:49:27,105 - lightrag - INFO - _do_upsert_edge:query: - MATCH (source:`PROJECT GUTENBERG LITERARY ARCHIVE FOUNDATION`) - WITH source - MATCH (target:`U.S. FEDERAL LAWS`) - MERGE (source)-[r:DIRECTED]->(target) - SET r += $properties - RETURN r - :result:None -2024-10-30 06:49:27,281 - lightrag - INFO - _check_edge_existence:query:MATCH (a:`PROJECT GUTENBERG LITERARY ARCHIVE FOUNDATION`)-[r]-(b:`WEBSITE`) RETURN COUNT(r) > 0 AS edgeExists:result:True -2024-10-30 06:49:27,408 - lightrag - INFO - get_edge:query: - MATCH (start:`PROJECT GUTENBERG LITERARY ARCHIVE FOUNDATION`)-[r]->(end:`WEBSITE`) - RETURN properties(r) as edge_properties - LIMIT 1 - :result:{'keywords': '"information dissemination, online presence"', 'weight': 8.0, 'description': '"The Foundation uses its website to facilitate donations and disseminate information about its services and eBooks."', 'source_id': 'chunk-85f77f5e3a9aba01133555a2d20e2fd8'} -2024-10-30 06:49:27,520 - lightrag - INFO - _check_node_exists:query:MATCH (n:`PROJECT GUTENBERG LITERARY ARCHIVE FOUNDATION`) RETURN count(n) > 0 AS node_exists:result:True -2024-10-30 06:49:27,683 - lightrag - INFO - _check_node_exists:query:MATCH (n:`WEBSITE`) RETURN count(n) > 0 AS node_exists:result:True -2024-10-30 06:49:27,863 - lightrag - INFO - _do_upsert_edge:query: - MATCH (source:`PROJECT GUTENBERG LITERARY ARCHIVE FOUNDATION`) - WITH source - MATCH (target:`WEBSITE`) - MERGE (source)-[r:DIRECTED]->(target) - SET r += $properties - RETURN r - :result:None -2024-10-30 06:49:28,041 - lightrag - INFO - _check_edge_existence:query:MATCH (a:`PROJECT GUTENBERG LITERARY ARCHIVE FOUNDATION`)-[r]-(b:`PUBLIC DOMAIN`) RETURN COUNT(r) > 0 AS edgeExists:result:True -2024-10-30 06:49:28,171 - lightrag - INFO - get_edge:query: - MATCH (start:`PROJECT GUTENBERG LITERARY ARCHIVE FOUNDATION`)-[r]->(end:`PUBLIC DOMAIN`) - RETURN properties(r) as edge_properties - LIMIT 1 - :result:{'keywords': '"accessibility, distribution"', 'weight': 9.0, 'description': '"The Foundation\'s mission is focused on distributing works that are in the Public Domain, enhancing accessibility for the public."', 'source_id': 'chunk-85f77f5e3a9aba01133555a2d20e2fd8'} -2024-10-30 06:49:28,291 - lightrag - INFO - _check_node_exists:query:MATCH (n:`PROJECT GUTENBERG LITERARY ARCHIVE FOUNDATION`) RETURN count(n) > 0 AS node_exists:result:True -2024-10-30 06:49:28,456 - lightrag - INFO - _check_node_exists:query:MATCH (n:`PUBLIC DOMAIN`) RETURN count(n) > 0 AS node_exists:result:True -2024-10-30 06:49:28,634 - lightrag - INFO - _do_upsert_edge:query: - MATCH (source:`PROJECT GUTENBERG LITERARY ARCHIVE FOUNDATION`) - WITH source - MATCH (target:`PUBLIC DOMAIN`) - MERGE (source)-[r:DIRECTED]->(target) - SET r += $properties - RETURN r - :result:None -2024-10-30 06:49:28,677 - lightrag - INFO - Inserting 350 vectors to entities -2024-10-30 06:49:31,357 - lightrag - INFO - Inserting 282 vectors to relationships -2024-10-30 06:49:33,384 - lightrag - INFO - Creating a new event loop in a sub-thread. -2024-10-30 06:49:34,118 - lightrag - INFO - Truncate 39 to 3 chunks -2024-10-30 06:49:39,671 - lightrag - INFO - Creating a new event loop in a sub-thread. -2024-10-30 06:49:41,043 - lightrag - INFO - get_node:query:MATCH (n:`TIME`) RETURN n:result: -2024-10-30 06:49:41,129 - lightrag - INFO - get_node:query:MATCH (n:`THE DEATH`) RETURN n:result: -2024-10-30 06:49:41,216 - lightrag - INFO - get_node:query:MATCH (n:`THE EVENT OF DEATH`) RETURN n:result: -2024-10-30 06:49:41,302 - lightrag - INFO - get_node:query:MATCH (n:`THE TOWN`) RETURN n:result: -2024-10-30 06:49:41,390 - lightrag - INFO - get_node:query:MATCH (n:`CHRISTMAS`) RETURN n:result:chunk-c6c248858d1b13ab7ee9ca13c1aeed6bchunk-99b0ec7f7e006561352b5d65e849611dchunk-02baee20cc9463dbe08170a8e1043e32chunk-503f0bfa5453467c7c61d160a3540ecachunk-91572b3cd42786ba4cb2f180ca25cbf4chunk-8f738cb25d60a7dab782162d9d0a25edchunk-94bea83e7153fc2064aa382b494936a1chunk-1d4b58de5429cd1261370c231c8673e8chunk-74e2466de2f67fd710ef2f20c0a8d9e0chunk-89777b838d5447c7bd1ec11282c4ee89chunk-90d5764e301321c087f5a8f78b73a145chunk-91614df5cb74cbe5e109a338a82041e9chunk-54bdd22db1f84a965b5f4c06c9216d8dchunk-773d0df1dd25c356f7b771d780583e09chunk-5dac41b3f9eeaf794f0147400b1718cdchunk-43c9bee23adfa77aa9dedd22401bba7dchunk-da2472b4ef2a535b62908f14d0fb0ca9chunk-8590d9263cd2cd4fa583c432fc54e6c3'}> -2024-10-30 06:49:41,478 - lightrag - INFO - get_node:query:MATCH (n:`HOPE`) RETURN n:result:"Hope emerges as a central theme in the characters\' lives, particularly through Caroline\'s reaction to news about the husband and the family\'s future.""Hope emerges as a central theme in the characters\' lives, particularly through Caroline\'s reaction to news about the husband and the family\'s future.""Hope emerges as a central theme in the characters\' lives, particularly through Caroline\'s reaction to news about the husband and the family\'s future.""Hope emerges as a central theme in the characters\' lives, particularly through Caroline\'s reaction to news about the husband and the family\'s future.""Hope represents the aspirations and dreams that characters have, particularly in the context of the matron\'s optimistic nature.""Hope represents the aspirations and dreams that characters have, particularly in the context of the matron\'s optimistic nature.""Hope represents the aspirations and dreams that characters have, particularly in the context of the matron\'s optimistic nature.""Hope represents the aspirations and dreams that characters have, particularly in the context of the matron\'s optimistic nature.""Hope represents the aspirations and dreams that characters have, particularly in the context of the matron\'s optimistic nature."', 'source_id': 'chunk-54bdd22db1f84a965b5f4c06c9216d8dchunk-83ac129dc9b56f84c46760d153d68e93'}> -2024-10-30 06:49:41,567 - lightrag - INFO - get_node:query:MATCH (n:`CLOCK'S STRIKE`) RETURN n:result: -2024-10-30 06:49:41,656 - lightrag - INFO - get_node:query:MATCH (n:`THE COLD AIR`) RETURN n:result: -2024-10-30 06:49:41,741 - lightrag - INFO - get_node:query:MATCH (n:`THE STOLEN GOODS`) RETURN n:result: -2024-10-30 06:49:41,831 - lightrag - INFO - get_node:query:MATCH (n:`THE SPECTRE`) RETURN n:result: -2024-10-30 06:49:41,918 - lightrag - INFO - get_node:query:MATCH (n:`DEATH`) RETURN n:result:"Death is described as a powerful force in the narrative, represented through the imagery of a cold, rigid presence and the contemplation of mortality.""Death refers to the passing of a character that triggers a range of emotions and reflections among the living, influencing their lives and relationships.""Death is depicted as a cold, inevitable force, prompting reflections on the value of life and the consequences of avarice.""Death is depicted as a cold, inevitable force, prompting reflections on the value of life and the consequences of avarice.""Death is depicted as a cold, inevitable force, prompting reflections on the value of life and the consequences of avarice.""Death is depicted as a cold, inevitable force, prompting reflections on the value of life and the consequences of avarice.""Death is depicted as a cold, inevitable force, prompting reflections on the value of life and the consequences of avarice."', 'source_id': 'chunk-e1f29eeadc1d8ab46dc8a0bbd3c56b64chunk-83ac129dc9b56f84c46760d153d68e93chunk-02baee20cc9463dbe08170a8e1043e32'}> -2024-10-30 06:49:42,007 - lightrag - INFO - get_node:query:MATCH (n:`THE BED`) RETURN n:result:"The Bed represents a significant scene where the deceased man\'s body is laid, evoking deep emotions and realizations about life and morality.""The Bed represents a significant scene where the deceased man\'s body is laid, evoking deep emotions and realizations about life and morality.""The Bed represents a significant scene where the deceased man\'s body is laid, evoking deep emotions and realizations about life and morality.""The Bed represents a significant scene where the deceased man\'s body is laid, evoking deep emotions and realizations about life and morality.""The Bed represents a significant scene where the deceased man\'s body is laid, evoking deep emotions and realizations about life and morality."', 'source_id': 'chunk-e1f29eeadc1d8ab46dc8a0bbd3c56b64'}> -2024-10-30 06:49:42,096 - lightrag - INFO - get_node:query:MATCH (n:`JUDGMENT`) RETURN n:result: -2024-10-30 06:49:42,181 - lightrag - INFO - get_node:query:MATCH (n:`CLOCK`) RETURN n:result: -2024-10-30 06:49:42,269 - lightrag - INFO - get_node:query:MATCH (n:`SCROOGE`) RETURN n:result:chunk-b0f459f5af1c3a5e0b92cbe4ee48b77bchunk-e7637ff18c5ded77a68cce0a87883fadchunk-359187e7571bda4b0b08b2e0b6581e52chunk-e1f29eeadc1d8ab46dc8a0bbd3c56b64chunk-c6c248858d1b13ab7ee9ca13c1aeed6bchunk-cb661c37436355ccec2769b1d0350c5fchunk-f1a4fbcf1ed86864b9bfd5e8dba4c683chunk-99b0ec7f7e006561352b5d65e849611dchunk-843b5b2f944c7413d9ca876e2e2f151fchunk-90b95db5c53e4364a6bee36b7aa4d70fchunk-19d72c57ae3408758b18d2568e86dc6bchunk-02baee20cc9463dbe08170a8e1043e32chunk-503f0bfa5453467c7c61d160a3540ecachunk-91572b3cd42786ba4cb2f180ca25cbf4chunk-83ac129dc9b56f84c46760d153d68e93chunk-8f738cb25d60a7dab782162d9d0a25edchunk-94bea83e7153fc2064aa382b494936a1chunk-9c43dac2fcd5b578242d907ea6f8fc7bchunk-74e2466de2f67fd710ef2f20c0a8d9e0chunk-89777b838d5447c7bd1ec11282c4ee89chunk-d9aac3484185ac66045df92214d245d5chunk-90d5764e301321c087f5a8f78b73a145chunk-91614df5cb74cbe5e109a338a82041e9chunk-54bdd22db1f84a965b5f4c06c9216d8dchunk-773d0df1dd25c356f7b771d780583e09chunk-5dac41b3f9eeaf794f0147400b1718cdchunk-43c9bee23adfa77aa9dedd22401bba7dchunk-da2472b4ef2a535b62908f14d0fb0ca9chunk-1aa50206d02ed89418f65f97c6441d1cchunk-8590d9263cd2cd4fa583c432fc54e6c3chunk-b2f98bc7abb0c67d4c86055c7fd72218chunk-bb21d58d36c6306fd8810ddd51c4a971'}> -2024-10-30 06:49:42,353 - lightrag - INFO - get_node:query:MATCH (n:`THE MEETING`) RETURN n:result: -2024-10-30 06:49:42,442 - lightrag - INFO - get_node:query:MATCH (n:`THE GHOST`) RETURN n:result:chunk-43c9bee23adfa77aa9dedd22401bba7dchunk-e7637ff18c5ded77a68cce0a87883fadchunk-359187e7571bda4b0b08b2e0b6581e52chunk-da2472b4ef2a535b62908f14d0fb0ca9chunk-c6c248858d1b13ab7ee9ca13c1aeed6bchunk-02baee20cc9463dbe08170a8e1043e32chunk-1aa50206d02ed89418f65f97c6441d1cchunk-cb661c37436355ccec2769b1d0350c5fchunk-54bdd22db1f84a965b5f4c06c9216d8dchunk-8590d9263cd2cd4fa583c432fc54e6c3chunk-83ac129dc9b56f84c46760d153d68e93chunk-9c43dac2fcd5b578242d907ea6f8fc7b'}> -2024-10-30 06:49:42,528 - lightrag - INFO - get_node:query:MATCH (n:`MARLEY`) RETURN n:result:"Marley is Scrooge\'s deceased business partner whose presence looms over the story, symbolizing the consequences of a life similar to Scrooge\'s.""Marley is Scrooge\'s deceased business partner, whose death is a significant event that sets the tone for the story.""Marley is Scrooge\'s deceased business partner, whose death is mentioned as impactful, having passed seven years prior to the events in the text.""Marley is depicted as a ghost, having a pigtail, waistcoat, tights, and boots, and is central to Scrooge\'s haunting experience."Marley is Scrooge\'s deceased business partner, whose presence looms over the narrative of the story, symbolizing the dire consequences of a life lived without compassion and care for others. His death serves as a significant event that sets the tone for the plot and reflects the overarching themes of regret and the supernatural.\n\nMarley passed away seven years prior to the events depicted, making his spectral appearance even more impactful. Despite being a character who is only mentioned throughout much of the story, his influence on Scrooge is profound, as reflections and memories of Marley shape Scrooge\'s perspective on life and relationships. This ghostly figure is depicted distinctly with a pigtail, waistcoat, tights, and boots, making him central to Scrooge\'s haunting experience.\n\nOverall, Marley represents the weight of past actions and the importance of empathy, acting as a harbinger of transformation for Scrooge. His ghostly manifestation evokes both fear and introspection, ultimately contributing to the moral lessons embedded in the tale."Marley is Scrooge\'s deceased business partner, whose death is a significant event that sets the tone for the story.""Marley is Scrooge\'s deceased business partner, whose death is mentioned as impactful, having passed seven years prior to the events in the text.""Marley is depicted as a ghost, having a pigtail, waistcoat, tights, and boots, and is central to Scrooge\'s haunting experience."', 'source_id': 'chunk-5dac41b3f9eeaf794f0147400b1718cdchunk-89777b838d5447c7bd1ec11282c4ee89chunk-d9aac3484185ac66045df92214d245d5chunk-9c43dac2fcd5b578242d907ea6f8fc7bchunk-843b5b2f944c7413d9ca876e2e2f151f'}> -2024-10-30 06:49:42,614 - lightrag - INFO - get_node:query:MATCH (n:`THE BUNDLE`) RETURN n:result:"The Bundle contains the belongings of the deceased man, which serve as a focal point for discussion among the characters regarding value and morality.""The Bundle contains the belongings of the deceased man, which serve as a focal point for discussion among the characters regarding value and morality.""The Bundle contains the belongings of the deceased man, which serve as a focal point for discussion among the characters regarding value and morality.""The Bundle contains the belongings of the deceased man, which serve as a focal point for discussion among the characters regarding value and morality.""The Bundle refers to the collection of stolen items brought by the characters to Old Joe\'s shop for appraisal, symbolizing their actions post-death.""The Bundle refers to the collection of stolen items that the characters present to Old Joe for appraisal.""The Bundle refers to the collection of stolen items brought by the characters to Old Joe\'s shop for appraisal, symbolizing their actions post-death.""The Bundle refers to the collection of stolen items brought by the characters to Old Joe\'s shop for appraisal, symbolizing their actions post-death.""The Bundle refers to the collection of stolen items brought by the characters to Old Joe\'s shop for appraisal, symbolizing their actions post-death.""The Bundle refers to the collection of stolen items brought by the characters to Old Joe\'s shop for appraisal, symbolizing their actions post-death."', 'source_id': 'chunk-e1f29eeadc1d8ab46dc8a0bbd3c56b64chunk-60fc063c79fc0d4acc91a57e79de04dc'}> -2024-10-30 06:49:42,701 - lightrag - INFO - get_node:query:MATCH (n:`THE RAGS`) RETURN n:result: -2024-10-30 06:49:42,789 - lightrag - INFO - get_node:query:MATCH (n:`SNOW`) RETURN n:result: -2024-10-30 06:49:42,874 - lightrag - INFO - get_node:query:MATCH (n:`THE FUNERAL`) RETURN n:result:"The Funeral is a context for conversation among characters, reflecting on mortality and social connections surrounding death.""The Funeral is a context for conversation among characters, reflecting on mortality and social connections surrounding death.""The Funeral is a context for conversation among characters, reflecting on mortality and social connections surrounding death.""The Funeral is a context for conversation among characters, reflecting on mortality and social connections surrounding death.""The Funeral of Marley is a significant event that highlights Scrooge\'s relationship with Marley and sets the tone for their partnership and Scrooge\'s eventual path.""The Funeral serves as a significant event reflecting on Marley\'s death, noted for its business-like atmosphere as perceived by Scrooge.""The Funeral of Marley is a significant event that highlights Scrooge\'s relationship with Marley and sets the tone for their partnership and Scrooge\'s eventual path.""The Funeral of Marley is a significant event that highlights Scrooge\'s relationship with Marley and sets the tone for their partnership and Scrooge\'s eventual path.""The Funeral of Marley is a significant event that highlights Scrooge\'s relationship with Marley and sets the tone for their partnership and Scrooge\'s eventual path.""The Funeral of Marley is a significant event that highlights Scrooge\'s relationship with Marley and sets the tone for their partnership and Scrooge\'s eventual path."', 'source_id': 'chunk-f1a4fbcf1ed86864b9bfd5e8dba4c683chunk-89777b838d5447c7bd1ec11282c4ee89'}> -2024-10-30 06:49:42,959 - lightrag - INFO - get_node:query:MATCH (n:`MARTHA`) RETURN n:result:"Martha is the daughter in the Cratchit family, who makes a dramatic entrance to surprise her family, highlighting the family\'s closeness.""Martha is the daughter in the Cratchit family, who makes a dramatic entrance to surprise her family, highlighting the family\'s closeness.""Martha is the daughter in the Cratchit family, who makes a dramatic entrance to surprise her family, highlighting the family\'s closeness.""Martha is the daughter in the Cratchit family, who makes a dramatic entrance to surprise her family, highlighting the family\'s closeness.""Martha is the daughter in the Cratchit family, who makes a dramatic entrance to surprise her family, highlighting the family\'s closeness."', 'source_id': 'chunk-19d72c57ae3408758b18d2568e86dc6bchunk-7e2e7ebcc19a53b399dc03aded4743e7'}> -2024-10-30 06:49:43,048 - lightrag - INFO - get_node:query:MATCH (n:`THE MOTHER`) RETURN n:result:"The Mother is a character associated with the family dynamics during the Christmas scene, though her actions are not explicitly detailed.""The Mother is depicted as a comely matron, who enjoys the laughter and chaos with her children, showing warmth and family value.""The Mother is a character who exhibits anxiety and hope as she awaits her husband\'s return, embodying the emotional depth of family relations during hardship.""The Mother is a character who shares a tender moment with her husband and daughter, representing familial love and connection.""The Mother is a character who exhibits anxiety and hope as she awaits her husband\'s return, embodying the emotional depth of family relations during hardship.""The Mother is a character who shares a tender moment with her husband and daughter, representing familial love and connection.""The Mother is a character who exhibits anxiety and hope as she awaits her husband\'s return, embodying the emotional depth of family relations during hardship.""The Mother is a character who shares a tender moment with her husband and daughter, representing familial love and connection.""The Mother is a character who exhibits anxiety and hope as she awaits her husband\'s return, embodying the emotional depth of family relations during hardship.""The Mother is a character who shares a tender moment with her husband and daughter, representing familial love and connection.""The Mother is a character who exhibits anxiety and hope as she awaits her husband\'s return, embodying the emotional depth of family relations during hardship.""The Mother is a character who shares a tender moment with her husband and daughter, representing familial love and connection."', 'source_id': 'chunk-54bdd22db1f84a965b5f4c06c9216d8dchunk-da2472b4ef2a535b62908f14d0fb0ca9chunk-83ac129dc9b56f84c46760d153d68e93'}> -2024-10-30 06:49:43,139 - lightrag - INFO - get_node:query:MATCH (n:`DING DONG`) RETURN n:result: -2024-10-30 06:49:43,226 - lightrag - INFO - get_node:query:MATCH (n:`THE HOUSE`) RETURN n:result:"The House is the setting for Scrooge\'s encounters, characterized by its darkness, the creaking sounds, and the presence of the ghost.""The House is the setting for Scrooge\'s encounters, characterized by its darkness, the creaking sounds, and the presence of the ghost.""The House is the setting for Scrooge\'s encounters, characterized by its darkness, the creaking sounds, and the presence of the ghost.""The House is the setting for Scrooge\'s encounters, characterized by its darkness, the creaking sounds, and the presence of the ghost.""The House is the setting for the Christmas celebration and interactions among the characters, embodying warmth and family togetherness.""The House is the setting where Scrooge experiences the haunting, with a description of its features contributing to the eerie atmosphere."', 'source_id': 'chunk-da2472b4ef2a535b62908f14d0fb0ca9chunk-9c43dac2fcd5b578242d907ea6f8fc7b'}> -2024-10-30 06:49:43,312 - lightrag - INFO - get_node:query:MATCH (n:`THE DEBT`) RETURN n:result: -2024-10-30 06:49:43,400 - lightrag - INFO - get_node:query:MATCH (n:`COLD`) RETURN n:result: -2024-10-30 06:49:43,489 - lightrag - INFO - get_node:query:MATCH (n:`THE FOG AND FROST`) RETURN n:result: -2024-10-30 06:49:43,574 - lightrag - INFO - get_node:query:MATCH (n:`LONDON`) RETURN n:result:"London is the city where the narrative takes place, representing a central location in the story.""London is the city where the narrative takes place, representing a central location in the story.""London is the city where the narrative takes place, representing a central location in the story.""London is the city where the narrative takes place, representing a central location in the story.""London serves as the general setting for the story, although its specific mention relates to an animal in the context of a game.""London serves as the geographical setting for the story, encapsulating the harsh winter atmosphere and the life of its inhabitants during the festive season.""London serves as the setting where the events take place, adding a cultural backdrop to the Christmas gathering.""London serves as the setting for the story, highlighting the bustling yet isolating environment in which Scrooge lives.""London serves as the general setting for the story, although its specific mention relates to an animal in the context of a game.""London serves as the setting for the story, highlighting the bustling yet isolating environment in which Scrooge lives.""London serves as the general setting for the story, although its specific mention relates to an animal in the context of a game.""London serves as the setting for the story, highlighting the bustling yet isolating environment in which Scrooge lives.""London serves as the general setting for the story, although its specific mention relates to an animal in the context of a game.""London serves as the setting for the story, highlighting the bustling yet isolating environment in which Scrooge lives.""London serves as the general setting for the story, although its specific mention relates to an animal in the context of a game.""London serves as the setting for the story, highlighting the bustling yet isolating environment in which Scrooge lives."', 'source_id': 'chunk-d9aac3484185ac66045df92214d245d5chunk-43c9bee23adfa77aa9dedd22401bba7dchunk-e7637ff18c5ded77a68cce0a87883fad'}> -2024-10-30 06:49:43,659 - lightrag - INFO - get_node:query:MATCH (n:`CITY`) RETURN n:result:"The City represents the urban setting where Scrooge witnesses the indifference of its inhabitants regarding his death.""The City represents the urban setting where Scrooge\'s transformation takes place, symbolizing the broader society impacted by his changes.""The City serves as a backdrop where various scenes unfold, representing the hustle of life and economic concerns.""The City symbolizes the urban setting where Scrooge\'s transformation takes place, primarily depicting the contrast between Scrooge\'s isolation and the outer world filled with festivities.""The City serves as a backdrop where various scenes unfold, representing the hustle of life and economic concerns.""The City symbolizes the urban setting where Scrooge\'s transformation takes place, primarily depicting the contrast between Scrooge\'s isolation and the outer world filled with festivities.""The City serves as a backdrop where various scenes unfold, representing the hustle of life and economic concerns.""The City symbolizes the urban setting where Scrooge\'s transformation takes place, primarily depicting the contrast between Scrooge\'s isolation and the outer world filled with festivities.""The City serves as a backdrop where various scenes unfold, representing the hustle of life and economic concerns.""The City symbolizes the urban setting where Scrooge\'s transformation takes place, primarily depicting the contrast between Scrooge\'s isolation and the outer world filled with festivities.""The City serves as a backdrop where various scenes unfold, representing the hustle of life and economic concerns.""The City symbolizes the urban setting where Scrooge\'s transformation takes place, primarily depicting the contrast between Scrooge\'s isolation and the outer world filled with festivities."', 'source_id': 'chunk-02baee20cc9463dbe08170a8e1043e32chunk-843b5b2f944c7413d9ca876e2e2f151fchunk-94bea83e7153fc2064aa382b494936a1'}> -2024-10-30 06:49:43,746 - lightrag - INFO - get_node:query:MATCH (n:`THE DYING FLAME`) RETURN n:result:"The Dying Flame represents the fear and uncertainty in Scrooge as it reacts to the presence of Marley’s Ghost, adding to the eerie atmosphere.""The Dying Flame represents the fear and uncertainty in Scrooge as it reacts to the presence of Marley’s Ghost, adding to the eerie atmosphere.""The Dying Flame represents the fear and uncertainty in Scrooge as it reacts to the presence of Marley’s Ghost, adding to the eerie atmosphere.""The Dying Flame represents the fear and uncertainty in Scrooge as it reacts to the presence of Marley’s Ghost, adding to the eerie atmosphere.""The Dying Flame signifies the waning spirit of Scrooge, momentarily invigorated by the arrival of the ghost as a metaphor for his fading humanity.""The Dying Flame signifies the waning spirit of Scrooge, momentarily invigorated by the arrival of the ghost as a metaphor for his fading humanity.""The Dying Flame signifies the waning spirit of Scrooge, momentarily invigorated by the arrival of the ghost as a metaphor for his fading humanity.""The Dying Flame signifies the waning spirit of Scrooge, momentarily invigorated by the arrival of the ghost as a metaphor for his fading humanity.""The Dying Flame signifies the waning spirit of Scrooge, momentarily invigorated by the arrival of the ghost as a metaphor for his fading humanity."', 'source_id': 'chunk-9c43dac2fcd5b578242d907ea6f8fc7bchunk-1aa50206d02ed89418f65f97c6441d1c'}> -2024-10-30 06:49:43,834 - lightrag - INFO - get_node:query:MATCH (n:`THE PHANTOM`) RETURN n:result:"The Phantom represents a ghostly presence guiding Scrooge through reflections on his life and future decisions.""The Phantom represents a ghostly presence guiding Scrooge through reflections on his life and future decisions.""The Phantom represents a ghostly presence guiding Scrooge through reflections on his life and future decisions.""The Phantom represents a ghostly presence guiding Scrooge through reflections on his life and future decisions.""The Phantom represents the supernatural element in Scrooge\'s journey of self-reflection and moral awakening."', 'source_id': 'chunk-f1a4fbcf1ed86864b9bfd5e8dba4c683'}> -2024-10-30 06:49:43,923 - lightrag - INFO - get_node:query:MATCH (n:`JOE`) RETURN n:result:"Joe is a marine-store dealer depicted as receiving stolen goods, illustrating the consequences of crime and the darker sides of society.""Joe is portrayed as a character engaged in a conversation about the deceased, displaying a mix of humor and practicality in dealing with the possessions of the dead.""Joe is a character who interacts with others, demonstrating a sense of curiosity and disbelief regarding certain situations and comments.""Joe is a marine-store dealer and receiver of stolen goods, indicative of the darker, more unscrupulous elements of society.""Joe is an old character who engages in conversation about the deceased man\'s belongings, revealing his pragmatic and somewhat cynical perspective on life and death.""Joe is a character who interacts with others, demonstrating a sense of curiosity and disbelief regarding certain situations and comments.""Joe is a marine-store dealer and receiver of stolen goods, indicative of the darker, more unscrupulous elements of society.""Joe is an old character who engages in conversation about the deceased man\'s belongings, revealing his pragmatic and somewhat cynical perspective on life and death.""Joe is a character who interacts with others, demonstrating a sense of curiosity and disbelief regarding certain situations and comments.""Joe is a marine-store dealer and receiver of stolen goods, indicative of the darker, more unscrupulous elements of society.""Joe is an old character who engages in conversation about the deceased man\'s belongings, revealing his pragmatic and somewhat cynical perspective on life and death.""Joe is a character who interacts with others, demonstrating a sense of curiosity and disbelief regarding certain situations and comments.""Joe is a marine-store dealer and receiver of stolen goods, indicative of the darker, more unscrupulous elements of society.""Joe is an old character who engages in conversation about the deceased man\'s belongings, revealing his pragmatic and somewhat cynical perspective on life and death.""Joe is a character who interacts with others, demonstrating a sense of curiosity and disbelief regarding certain situations and comments.""Joe is a marine-store dealer and receiver of stolen goods, indicative of the darker, more unscrupulous elements of society.""Joe is an old character who engages in conversation about the deceased man\'s belongings, revealing his pragmatic and somewhat cynical perspective on life and death."', 'source_id': 'chunk-e1f29eeadc1d8ab46dc8a0bbd3c56b64chunk-9e3921da66da5d761ab73cd849af6c43chunk-89777b838d5447c7bd1ec11282c4ee89'}> -2024-10-30 06:49:44,012 - lightrag - INFO - get_node:query:MATCH (n:`WINDING RIVER`) RETURN n:result: -2024-10-30 06:49:44,100 - lightrag - INFO - get_node:query:MATCH (n:`SPECTRE`) RETURN n:result: -2024-10-30 06:49:44,191 - lightrag - INFO - get_node:query:MATCH (n:`THE VISION`) RETURN n:result: -2024-10-30 06:49:44,280 - lightrag - INFO - get_node:query:MATCH (n:`THE FAMILY`) RETURN n:result: -2024-10-30 06:49:44,367 - lightrag - INFO - get_node:query:MATCH (n:`THE ACCUSATION`) RETURN n:result: -2024-10-30 06:49:44,458 - lightrag - INFO - get_node:query:MATCH (n:`CRATCHIT FAMILY`) RETURN n:result:"The Cratchit Family consists of Bob, Mrs. Cratchit, and their children, embodying themes of family unity and contentment despite hardships.""The Cratchit Family consists of Bob, Mrs. Cratchit, and their children, embodying themes of family unity and contentment despite hardships.""The Cratchit Family consists of Bob, Mrs. Cratchit, and their children, embodying themes of family unity and contentment despite hardships.""The Cratchit Family consists of Bob, Mrs. Cratchit, and their children, embodying themes of family unity and contentment despite hardships.""The Cratchit Family is a close-knit family characterized by love and togetherness, celebrating Christmas with simple but joyful traditions.""The Cratchit Family is portrayed as a close-knit group who, despite their hardships, find joy and gratitude during the Christmas gathering.""The Cratchit Family is portrayed as a loving unit celebrating Christmas together, with various members actively participating in the festivities.""The Cratchit family represents a unit bound by love and resilience in the face of adversity, dealing with emotional and financial struggles.""The Cratchit Family is depicted as a warm and loving household celebrating Christmas together, with various members actively participating in the festivities.""The Cratchit Family is depicted as a warm and loving household celebrating Christmas together, with various members actively participating in the festivities.""The Cratchit Family is depicted as a warm and loving household celebrating Christmas together, with various members actively participating in the festivities.""The Cratchit Family is depicted as a warm and loving household celebrating Christmas together, with various members actively participating in the festivities.""The Cratchit Family is depicted as a warm and loving household celebrating Christmas together, with various members actively participating in the festivities."', 'source_id': 'chunk-503f0bfa5453467c7c61d160a3540ecachunk-19d72c57ae3408758b18d2568e86dc6bchunk-7e2e7ebcc19a53b399dc03aded4743e7chunk-83ac129dc9b56f84c46760d153d68e93'}> -2024-10-30 06:49:44,548 - lightrag - INFO - get_node:query:MATCH (n:`THE CHAIN`) RETURN n:result:"The Chain symbolizes the burdens of the past that haunt the spirits, showcasing the consequences of one\'s actions in life.""The Chain represents the burdens of greed and the consequences of one\'s actions, worn by Marley\'s Ghost as a physical manifestation of his regrets.""The Chain represents the burdens of regret and guilt that haunt Marley and serve as a warning to Scrooge about the consequences of a life poorly lived.""The Chain represents the burdens of greed and the consequences of one\'s actions, worn by Marley\'s Ghost as a physical manifestation of his regrets.""The Chain represents the burdens of regret and guilt that haunt Marley and serve as a warning to Scrooge about the consequences of a life poorly lived.""The Chain represents the burdens of greed and the consequences of one\'s actions, worn by Marley\'s Ghost as a physical manifestation of his regrets.""The Chain represents the burdens of regret and guilt that haunt Marley and serve as a warning to Scrooge about the consequences of a life poorly lived.""The Chain represents the burdens of greed and the consequences of one\'s actions, worn by Marley\'s Ghost as a physical manifestation of his regrets.""The Chain represents the burdens of regret and guilt that haunt Marley and serve as a warning to Scrooge about the consequences of a life poorly lived.""The Chain represents the burdens of greed and the consequences of one\'s actions, worn by Marley\'s Ghost as a physical manifestation of his regrets.""The Chain represents the burdens of regret and guilt that haunt Marley and serve as a warning to Scrooge about the consequences of a life poorly lived."', 'source_id': 'chunk-359187e7571bda4b0b08b2e0b6581e52chunk-cb661c37436355ccec2769b1d0350c5fchunk-1aa50206d02ed89418f65f97c6441d1c'}> -2024-10-30 06:49:44,633 - lightrag - INFO - get_node:query:MATCH (n:`THE CLOCK`) RETURN n:result:"The Clock is mentioned as malfunctioning, which symbolizes the confusion and distortion of time that Scrooge experiences during his nighttime visitations.""The Clock serves as a symbol of time passing, reflecting Scrooge\'s disorientation regarding time as he transitions between reality and the supernatural.""The Clock signifies the passage of time during the Domestic Ball and plays a role in marking the end of the celebration.""The Clock serves as a symbol of time passing, reflecting Scrooge\'s disorientation regarding time as he transitions between reality and the supernatural.""The Clock signifies the passage of time during the Domestic Ball and plays a role in marking the end of the celebration.""The Clock serves as a symbol of time passing, reflecting Scrooge\'s disorientation regarding time as he transitions between reality and the supernatural.""The Clock signifies the passage of time during the Domestic Ball and plays a role in marking the end of the celebration.""The Clock serves as a symbol of time passing, reflecting Scrooge\'s disorientation regarding time as he transitions between reality and the supernatural.""The Clock signifies the passage of time during the Domestic Ball and plays a role in marking the end of the celebration.""The Clock serves as a symbol of time passing, reflecting Scrooge\'s disorientation regarding time as he transitions between reality and the supernatural.""The Clock signifies the passage of time during the Domestic Ball and plays a role in marking the end of the celebration."', 'source_id': 'chunk-c7b10789a9cb0af6c553730b29bd9034chunk-b2f98bc7abb0c67d4c86055c7fd72218chunk-cb661c37436355ccec2769b1d0350c5f'}> -2024-10-30 06:49:44,722 - lightrag - INFO - get_node:query:MATCH (n:`SPIRIT`) RETURN n:result:"The Spirit represents a ghostly figure guiding Scrooge through reflections related to a death, illustrating lessons about life and mortality.""The Spirit represents a supernatural being guiding Scrooge through lessons about the consequences of his actions and the future.""The Spirit represents a supernatural entity guiding Scrooge and teaching him lessons about compassion and humanity."The "Spirit" represents a multifaceted supernatural entity that plays a crucial role in guiding Ebenezer Scrooge through profound reflections on his life, death, and human emotions. Central to the narrative is the Spirit\'s embodiment of the essence of Marley, which interacts with Scrooge to highlight themes related to the afterlife and unresolved issues. The Spirit manifests as various figures, most notably the Ghost of Christmas Present, who personifies the themes of generosity, merriment, and the true spirit of the Christmas season.\n\nThroughout Scrooge\'s journey, the Spirit serves as a guide, leading him through memories of his past, reflecting his former self and the influence of time on his character. The entity illustrates important lessons about compassion, social responsibility, and the consequences of his actions, urging Scrooge to confront societal issues and fostering self-awareness.\n\nThe Spirit also emphasizes the somber aspects of life, illustrating lessons about mortality and the inevitability of death, prompting Scrooge to reflect on the implications of his life choices. Overall, the Spirit encapsulates the intersection of compassion, humanity, and the moral lessons inherent in the experience of life, serving as a catalyst for Scrooge\'s transformation and awakening.', 'source_id': 'chunk-e7637ff18c5ded77a68cce0a87883fadchunk-02baee20cc9463dbe08170a8e1043e32chunk-1aa50206d02ed89418f65f97c6441d1cchunk-83ac129dc9b56f84c46760d153d68e93chunk-843b5b2f944c7413d9ca876e2e2f151fchunk-bb21d58d36c6306fd8810ddd51c4a971'}> -2024-10-30 06:49:44,807 - lightrag - INFO - get_node:query:MATCH (n:`DINNER`) RETURN n:result: -2024-10-30 06:49:44,896 - lightrag - INFO - get_node:query:MATCH (n:`THE SHOP`) RETURN n:result:"The Shop is a setting where characters gather to appraise items they have taken from the deceased, reflecting their attitudes towards death and morality.""The Shop is a setting where characters gather to appraise items they have taken from the deceased, reflecting their attitudes towards death and morality.""The Shop is a setting where characters gather to appraise items they have taken from the deceased, reflecting their attitudes towards death and morality.""The Shop is a setting where characters gather to appraise items they have taken from the deceased, reflecting their attitudes towards death and morality.""The Shop is a setting where characters gather to appraise items they have taken from the deceased, reflecting their attitudes towards death and morality."', 'source_id': 'chunk-60fc063c79fc0d4acc91a57e79de04dc'}> -2024-10-30 06:49:44,984 - lightrag - INFO - get_node:query:MATCH (n:`THE COUNTESS`) RETURN n:result:"The Countess is mentioned by Martha, indicating an encounter that highlights the social stratification and aspirations of the Cratchit family.""The Countess is mentioned by Martha, indicating an encounter that highlights the social stratification and aspirations of the Cratchit family.""The Countess is mentioned by Martha, indicating an encounter that highlights the social stratification and aspirations of the Cratchit family.""The Countess is mentioned by Martha, indicating an encounter that highlights the social stratification and aspirations of the Cratchit family.""The Countess is referenced by Martha, showcasing her interaction with figures of higher social status, contrasting with the Cratchit family\'s situation."', 'source_id': 'chunk-19d72c57ae3408758b18d2568e86dc6b'}> -2024-10-30 06:49:45,070 - lightrag - INFO - get_node:query:MATCH (n:`MISCELLANEOUS TATTERS`) RETURN n:result: -2024-10-30 06:49:45,160 - lightrag - INFO - get_node:query:MATCH (n:`THE WAVE`) RETURN n:result: -2024-10-30 06:49:45,246 - lightrag - INFO - get_node:query:MATCH (n:`HAPPINESS`) RETURN n:result: -2024-10-30 06:49:45,334 - lightrag - INFO - get_node:query:MATCH (n:`THE GHOST OF MARLEY`) RETURN n:result:"The Ghost of Marley refers to the apparition that appears to Scrooge, serving as a catalyst for his transformation and moral reckoning.""The Ghost of Marley refers to the apparition that appears to Scrooge, serving as a catalyst for his transformation and moral reckoning.""The Ghost of Marley refers to the apparition that appears to Scrooge, serving as a catalyst for his transformation and moral reckoning.""The Ghost of Marley refers to the apparition that appears to Scrooge, serving as a catalyst for his transformation and moral reckoning.""The Ghost of Marley refers to the apparition that appears to Scrooge, serving as a catalyst for his transformation and moral reckoning."', 'source_id': 'chunk-d9aac3484185ac66045df92214d245d5'}> -2024-10-30 06:49:45,426 - lightrag - INFO - get_node:query:MATCH (n:`COLD WEATHER`) RETURN n:result:"Cold Weather sets the bleak and unforgiving atmosphere, reflecting Scrooge’s own personality and state of mind.""Cold Weather sets the bleak and unforgiving atmosphere, reflecting Scrooge’s own personality and state of mind.""Cold Weather sets the bleak and unforgiving atmosphere, reflecting Scrooge’s own personality and state of mind.""Cold Weather sets the bleak and unforgiving atmosphere, reflecting Scrooge’s own personality and state of mind.""Cold Weather sets the bleak and unforgiving atmosphere, reflecting Scrooge’s own personality and state of mind."', 'source_id': 'chunk-f1a4fbcf1ed86864b9bfd5e8dba4c683chunk-74e2466de2f67fd710ef2f20c0a8d9e0'}> -2024-10-30 06:49:45,515 - lightrag - INFO - get_node:query:MATCH (n:`MERRIMENT`) RETURN n:result:"Merriment embodies the joy and celebration associated with the holiday season and the gathering of family and friends in the narrative.""Merriment embodies the joy and celebration associated with the holiday season and the gathering of family and friends in the narrative.""Merriment embodies the joy and celebration associated with the holiday season and the gathering of family and friends in the narrative.""Merriment embodies the joy and celebration associated with the holiday season and the gathering of family and friends in the narrative.""Merriment refers to the joyful and festive atmosphere that the characters aim to create, opposing Scrooge\'s jaded perspective on social gatherings.""Merriment refers to the joyful and festive atmosphere that the characters aim to create, opposing Scrooge\'s jaded perspective on social gatherings.""Merriment refers to the joyful and festive atmosphere that the characters aim to create, opposing Scrooge\'s jaded perspective on social gatherings.""Merriment refers to the joyful and festive atmosphere that the characters aim to create, opposing Scrooge\'s jaded perspective on social gatherings.""Merriment refers to the joyful and festive atmosphere that the characters aim to create, opposing Scrooge\'s jaded perspective on social gatherings."', 'source_id': 'chunk-773d0df1dd25c356f7b771d780583e09chunk-e7637ff18c5ded77a68cce0a87883fad'}> -2024-10-30 06:49:45,603 - lightrag - INFO - get_node:query:MATCH (n:`WANT`) RETURN n:result:"Want is represented as the second child shown by the Spirit, symbolizing the dire social conditions and needs of the impoverished.""Want represents another societal failing, portrayed as a girl, symbolizing deprivation and yearning for basic needs.""Want is represented as the second child shown by the Spirit, symbolizing the dire social conditions and needs of the impoverished.""Want represents another societal failing, portrayed as a girl, symbolizing deprivation and yearning for basic needs.""Want is represented as the second child shown by the Spirit, symbolizing the dire social conditions and needs of the impoverished.""Want represents another societal failing, portrayed as a girl, symbolizing deprivation and yearning for basic needs.""Want is represented as the second child shown by the Spirit, symbolizing the dire social conditions and needs of the impoverished.""Want represents another societal failing, portrayed as a girl, symbolizing deprivation and yearning for basic needs.""Want is represented as the second child shown by the Spirit, symbolizing the dire social conditions and needs of the impoverished.""Want represents another societal failing, portrayed as a girl, symbolizing deprivation and yearning for basic needs."', 'source_id': 'chunk-02baee20cc9463dbe08170a8e1043e32chunk-e7637ff18c5ded77a68cce0a87883fad'}> -2024-10-30 06:49:45,692 - lightrag - INFO - get_node:query:MATCH (n:`THE SCHOOL`) RETURN n:result: -2024-10-30 06:49:45,779 - lightrag - INFO - get_node:query:MATCH (n:`THE DARK ROOM`) RETURN n:result:"The Dark Room is where the corpse lies, symbolizing isolation and the lack of care for the deceased.""The Dark Room is where the corpse lies, symbolizing isolation and the lack of care for the deceased.""The Dark Room is where the corpse lies, symbolizing isolation and the lack of care for the deceased.""The Dark Room is where the corpse lies, symbolizing isolation and the lack of care for the deceased.""The Dark Room serves as the setting for the scene, enhancing the atmosphere of dread and the theme of impending death."', 'source_id': 'chunk-e1f29eeadc1d8ab46dc8a0bbd3c56b64'}> -2024-10-30 06:49:45,866 - lightrag - INFO - get_node:query:MATCH (n:`CAROLINE`) RETURN n:result:"Caroline is portrayed as a mother filled with hope and emotion regarding her husband’s situation, revealing her character through her reactions to news.""Caroline is portrayed as a mother filled with hope and emotion regarding her husband’s situation, revealing her character through her reactions to news.""Caroline is portrayed as a mother filled with hope and emotion regarding her husband’s situation, revealing her character through her reactions to news.""Caroline is portrayed as a mother filled with hope and emotion regarding her husband’s situation, revealing her character through her reactions to news.""Caroline is portrayed as a mother filled with hope and emotion regarding her husband’s situation, revealing her character through her reactions to news."', 'source_id': 'chunk-83ac129dc9b56f84c46760d153d68e93'}> -2024-10-30 06:49:45,953 - lightrag - INFO - get_node:query:MATCH (n:`EVENING`) RETURN n:result: -2024-10-30 06:49:46,043 - lightrag - INFO - get_node:query:MATCH (n:`THE CRATCHIT FAMILY`) RETURN n:result:"The Cratchit Family consists of Bob, Mrs. Cratchit, Tiny Tim, and their children, characterized by their strong familial bonds and love for one another despite financial struggles.""The Cratchit Family consists of Bob, Mrs. Cratchit, Tiny Tim, and their children, characterized by their strong familial bonds and love for one another despite financial struggles.""The Cratchit Family consists of Bob, Mrs. Cratchit, Tiny Tim, and their children, characterized by their strong familial bonds and love for one another despite financial struggles.""The Cratchit Family consists of Bob, Mrs. Cratchit, Tiny Tim, and their children, characterized by their strong familial bonds and love for one another despite financial struggles.""The Cratchit Family consists of Bob, Mrs. Cratchit, and their children, highlighting themes of familial love and support amidst hardship.""The Cratchit Family is a close-knit family depicted in the text, characterized by love and warmth, celebrating Christmas together despite their difficulties.""The Cratchit Family represents a typical struggling family in the text, highlighting the theme of social disparity during Christmas.""The Cratchit Family is a close-knit family depicted in the text, characterized by love and warmth, celebrating Christmas together despite their difficulties.""The Cratchit Family represents a typical struggling family in the text, highlighting the theme of social disparity during Christmas.""The Cratchit Family is a close-knit family depicted in the text, characterized by love and warmth, celebrating Christmas together despite their difficulties.""The Cratchit Family represents a typical struggling family in the text, highlighting the theme of social disparity during Christmas.""The Cratchit Family is a close-knit family depicted in the text, characterized by love and warmth, celebrating Christmas together despite their difficulties.""The Cratchit Family represents a typical struggling family in the text, highlighting the theme of social disparity during Christmas.""The Cratchit Family is a close-knit family depicted in the text, characterized by love and warmth, celebrating Christmas together despite their difficulties.""The Cratchit Family represents a typical struggling family in the text, highlighting the theme of social disparity during Christmas."', 'source_id': 'chunk-503f0bfa5453467c7c61d160a3540ecachunk-90d5764e301321c087f5a8f78b73a145chunk-1d4b58de5429cd1261370c231c8673e8'}> -2024-10-30 06:49:46,131 - lightrag - INFO - get_node:query:MATCH (n:`TINY TIM`) RETURN n:result:chunk-19d72c57ae3408758b18d2568e86dc6bchunk-503f0bfa5453467c7c61d160a3540ecachunk-91572b3cd42786ba4cb2f180ca25cbf4chunk-9e3921da66da5d761ab73cd849af6c43chunk-8f738cb25d60a7dab782162d9d0a25edchunk-94bea83e7153fc2064aa382b494936a1chunk-83ac129dc9b56f84c46760d153d68e93chunk-7e2e7ebcc19a53b399dc03aded4743e7chunk-1d4b58de5429cd1261370c231c8673e8'}> -2024-10-30 06:49:46,219 - lightrag - INFO - get_node:query:MATCH (n:`BOB CRATCHIT`) RETURN n:result:chunk-90b95db5c53e4364a6bee36b7aa4d70fchunk-d9aac3484185ac66045df92214d245d5chunk-19d72c57ae3408758b18d2568e86dc6bchunk-503f0bfa5453467c7c61d160a3540ecachunk-91572b3cd42786ba4cb2f180ca25cbf4chunk-9e3921da66da5d761ab73cd849af6c43chunk-94bea83e7153fc2064aa382b494936a1chunk-83ac129dc9b56f84c46760d153d68e93chunk-7e2e7ebcc19a53b399dc03aded4743e7chunk-1d4b58de5429cd1261370c231c8673e8'}> -2024-10-30 06:49:46,386 - lightrag - INFO - _find_node_degree:query: - MATCH (n:`TIME`) - RETURN COUNT{ (n)--() } AS totalEdgeCount - :result:0 -2024-10-30 06:49:46,562 - lightrag - INFO - _find_node_degree:query: - MATCH (n:`THE DEATH`) - RETURN COUNT{ (n)--() } AS totalEdgeCount - :result:0 -2024-10-30 06:49:46,735 - lightrag - INFO - _find_node_degree:query: - MATCH (n:`THE EVENT OF DEATH`) - RETURN COUNT{ (n)--() } AS totalEdgeCount - :result:1 -2024-10-30 06:49:46,908 - lightrag - INFO - _find_node_degree:query: - MATCH (n:`THE TOWN`) - RETURN COUNT{ (n)--() } AS totalEdgeCount - :result:1 -2024-10-30 06:49:47,077 - lightrag - INFO - _find_node_degree:query: - MATCH (n:`CHRISTMAS`) - RETURN COUNT{ (n)--() } AS totalEdgeCount - :result:25 -2024-10-30 06:49:47,247 - lightrag - INFO - _find_node_degree:query: - MATCH (n:`HOPE`) - RETURN COUNT{ (n)--() } AS totalEdgeCount - :result:2 -2024-10-30 06:49:47,423 - lightrag - INFO - _find_node_degree:query: - MATCH (n:`CLOCK'S STRIKE`) - RETURN COUNT{ (n)--() } AS totalEdgeCount - :result:0 -2024-10-30 06:49:47,596 - lightrag - INFO - _find_node_degree:query: - MATCH (n:`THE COLD AIR`) - RETURN COUNT{ (n)--() } AS totalEdgeCount - :result:0 -2024-10-30 06:49:47,768 - lightrag - INFO - _find_node_degree:query: - MATCH (n:`THE STOLEN GOODS`) - RETURN COUNT{ (n)--() } AS totalEdgeCount - :result:0 -2024-10-30 06:49:47,939 - lightrag - INFO - _find_node_degree:query: - MATCH (n:`THE SPECTRE`) - RETURN COUNT{ (n)--() } AS totalEdgeCount - :result:0 -2024-10-30 06:49:48,110 - lightrag - INFO - _find_node_degree:query: - MATCH (n:`DEATH`) - RETURN COUNT{ (n)--() } AS totalEdgeCount - :result:4 -2024-10-30 06:49:48,280 - lightrag - INFO - _find_node_degree:query: - MATCH (n:`THE BED`) - RETURN COUNT{ (n)--() } AS totalEdgeCount - :result:2 -2024-10-30 06:49:48,457 - lightrag - INFO - _find_node_degree:query: - MATCH (n:`JUDGMENT`) - RETURN COUNT{ (n)--() } AS totalEdgeCount - :result:0 -2024-10-30 06:49:48,631 - lightrag - INFO - _find_node_degree:query: - MATCH (n:`CLOCK`) - RETURN COUNT{ (n)--() } AS totalEdgeCount - :result:1 -2024-10-30 06:49:48,814 - lightrag - INFO - _find_node_degree:query: - MATCH (n:`SCROOGE`) - RETURN COUNT{ (n)--() } AS totalEdgeCount - :result:151 -2024-10-30 06:49:49,008 - lightrag - INFO - _find_node_degree:query: - MATCH (n:`THE MEETING`) - RETURN COUNT{ (n)--() } AS totalEdgeCount - :result:0 -2024-10-30 06:49:49,177 - lightrag - INFO - _find_node_degree:query: - MATCH (n:`THE GHOST`) - RETURN COUNT{ (n)--() } AS totalEdgeCount - :result:6 -2024-10-30 06:49:49,349 - lightrag - INFO - _find_node_degree:query: - MATCH (n:`MARLEY`) - RETURN COUNT{ (n)--() } AS totalEdgeCount - :result:5 -2024-10-30 06:49:49,520 - lightrag - INFO - _find_node_degree:query: - MATCH (n:`THE BUNDLE`) - RETURN COUNT{ (n)--() } AS totalEdgeCount - :result:1 -2024-10-30 06:49:49,694 - lightrag - INFO - _find_node_degree:query: - MATCH (n:`THE RAGS`) - RETURN COUNT{ (n)--() } AS totalEdgeCount - :result:0 -2024-10-30 06:49:49,864 - lightrag - INFO - _find_node_degree:query: - MATCH (n:`SNOW`) - RETURN COUNT{ (n)--() } AS totalEdgeCount - :result:0 -2024-10-30 06:49:50,029 - lightrag - INFO - _find_node_degree:query: - MATCH (n:`THE FUNERAL`) - RETURN COUNT{ (n)--() } AS totalEdgeCount - :result:2 -2024-10-30 06:49:50,197 - lightrag - INFO - _find_node_degree:query: - MATCH (n:`MARTHA`) - RETURN COUNT{ (n)--() } AS totalEdgeCount - :result:5 -2024-10-30 06:49:50,369 - lightrag - INFO - _find_node_degree:query: - MATCH (n:`THE MOTHER`) - RETURN COUNT{ (n)--() } AS totalEdgeCount - :result:5 -2024-10-30 06:49:50,536 - lightrag - INFO - _find_node_degree:query: - MATCH (n:`DING DONG`) - RETURN COUNT{ (n)--() } AS totalEdgeCount - :result:0 -2024-10-30 06:49:50,705 - lightrag - INFO - _find_node_degree:query: - MATCH (n:`THE HOUSE`) - RETURN COUNT{ (n)--() } AS totalEdgeCount - :result:2 -2024-10-30 06:49:50,873 - lightrag - INFO - _find_node_degree:query: - MATCH (n:`THE DEBT`) - RETURN COUNT{ (n)--() } AS totalEdgeCount - :result:1 -2024-10-30 06:49:51,040 - lightrag - INFO - _find_node_degree:query: - MATCH (n:`COLD`) - RETURN COUNT{ (n)--() } AS totalEdgeCount - :result:0 -2024-10-30 06:49:51,206 - lightrag - INFO - _find_node_degree:query: - MATCH (n:`THE FOG AND FROST`) - RETURN COUNT{ (n)--() } AS totalEdgeCount - :result:2 -2024-10-30 06:49:51,380 - lightrag - INFO - _find_node_degree:query: - MATCH (n:`LONDON`) - RETURN COUNT{ (n)--() } AS totalEdgeCount - :result:1 -2024-10-30 06:49:51,552 - lightrag - INFO - _find_node_degree:query: - MATCH (n:`CITY`) - RETURN COUNT{ (n)--() } AS totalEdgeCount - :result:2 -2024-10-30 06:49:51,719 - lightrag - INFO - _find_node_degree:query: - MATCH (n:`THE DYING FLAME`) - RETURN COUNT{ (n)--() } AS totalEdgeCount - :result:1 -2024-10-30 06:49:51,891 - lightrag - INFO - _find_node_degree:query: - MATCH (n:`THE PHANTOM`) - RETURN COUNT{ (n)--() } AS totalEdgeCount - :result:2 -2024-10-30 06:49:52,057 - lightrag - INFO - _find_node_degree:query: - MATCH (n:`JOE`) - RETURN COUNT{ (n)--() } AS totalEdgeCount - :result:3 -2024-10-30 06:49:52,223 - lightrag - INFO - _find_node_degree:query: - MATCH (n:`WINDING RIVER`) - RETURN COUNT{ (n)--() } AS totalEdgeCount - :result:1 -2024-10-30 06:49:52,389 - lightrag - INFO - _find_node_degree:query: - MATCH (n:`SPECTRE`) - RETURN COUNT{ (n)--() } AS totalEdgeCount - :result:1 -2024-10-30 06:49:52,560 - lightrag - INFO - _find_node_degree:query: - MATCH (n:`THE VISION`) - RETURN COUNT{ (n)--() } AS totalEdgeCount - :result:0 -2024-10-30 06:49:52,730 - lightrag - INFO - _find_node_degree:query: - MATCH (n:`THE FAMILY`) - RETURN COUNT{ (n)--() } AS totalEdgeCount - :result:1 -2024-10-30 06:49:52,908 - lightrag - INFO - _find_node_degree:query: - MATCH (n:`THE ACCUSATION`) - RETURN COUNT{ (n)--() } AS totalEdgeCount - :result:0 -2024-10-30 06:49:53,076 - lightrag - INFO - _find_node_degree:query: - MATCH (n:`CRATCHIT FAMILY`) - RETURN COUNT{ (n)--() } AS totalEdgeCount - :result:13 -2024-10-30 06:49:53,245 - lightrag - INFO - _find_node_degree:query: - MATCH (n:`THE CHAIN`) - RETURN COUNT{ (n)--() } AS totalEdgeCount - :result:1 -2024-10-30 06:49:53,419 - lightrag - INFO - _find_node_degree:query: - MATCH (n:`THE CLOCK`) - RETURN COUNT{ (n)--() } AS totalEdgeCount - :result:2 -2024-10-30 06:49:53,587 - lightrag - INFO - _find_node_degree:query: - MATCH (n:`SPIRIT`) - RETURN COUNT{ (n)--() } AS totalEdgeCount - :result:13 -2024-10-30 06:49:53,761 - lightrag - INFO - _find_node_degree:query: - MATCH (n:`DINNER`) - RETURN COUNT{ (n)--() } AS totalEdgeCount - :result:1 -2024-10-30 06:49:53,930 - lightrag - INFO - _find_node_degree:query: - MATCH (n:`THE SHOP`) - RETURN COUNT{ (n)--() } AS totalEdgeCount - :result:1 -2024-10-30 06:49:54,102 - lightrag - INFO - _find_node_degree:query: - MATCH (n:`THE COUNTESS`) - RETURN COUNT{ (n)--() } AS totalEdgeCount - :result:2 -2024-10-30 06:49:54,277 - lightrag - INFO - _find_node_degree:query: - MATCH (n:`MISCELLANEOUS TATTERS`) - RETURN COUNT{ (n)--() } AS totalEdgeCount - :result:0 -2024-10-30 06:49:54,450 - lightrag - INFO - _find_node_degree:query: - MATCH (n:`THE WAVE`) - RETURN COUNT{ (n)--() } AS totalEdgeCount - :result:1 -2024-10-30 06:49:54,624 - lightrag - INFO - _find_node_degree:query: - MATCH (n:`HAPPINESS`) - RETURN COUNT{ (n)--() } AS totalEdgeCount - :result:1 -2024-10-30 06:49:54,798 - lightrag - INFO - _find_node_degree:query: - MATCH (n:`THE GHOST OF MARLEY`) - RETURN COUNT{ (n)--() } AS totalEdgeCount - :result:1 -2024-10-30 06:49:54,972 - lightrag - INFO - _find_node_degree:query: - MATCH (n:`COLD WEATHER`) - RETURN COUNT{ (n)--() } AS totalEdgeCount - :result:1 -2024-10-30 06:49:55,147 - lightrag - INFO - _find_node_degree:query: - MATCH (n:`MERRIMENT`) - RETURN COUNT{ (n)--() } AS totalEdgeCount - :result:0 -2024-10-30 06:49:55,313 - lightrag - INFO - _find_node_degree:query: - MATCH (n:`WANT`) - RETURN COUNT{ (n)--() } AS totalEdgeCount - :result:2 -2024-10-30 06:49:55,488 - lightrag - INFO - _find_node_degree:query: - MATCH (n:`THE SCHOOL`) - RETURN COUNT{ (n)--() } AS totalEdgeCount - :result:0 -2024-10-30 06:49:55,656 - lightrag - INFO - _find_node_degree:query: - MATCH (n:`THE DARK ROOM`) - RETURN COUNT{ (n)--() } AS totalEdgeCount - :result:0 -2024-10-30 06:49:55,829 - lightrag - INFO - _find_node_degree:query: - MATCH (n:`CAROLINE`) - RETURN COUNT{ (n)--() } AS totalEdgeCount - :result:3 -2024-10-30 06:49:56,001 - lightrag - INFO - _find_node_degree:query: - MATCH (n:`EVENING`) - RETURN COUNT{ (n)--() } AS totalEdgeCount - :result:0 -2024-10-30 06:49:56,164 - lightrag - INFO - _find_node_degree:query: - MATCH (n:`THE CRATCHIT FAMILY`) - RETURN COUNT{ (n)--() } AS totalEdgeCount - :result:2 -2024-10-30 06:49:56,332 - lightrag - INFO - _find_node_degree:query: - MATCH (n:`TINY TIM`) - RETURN COUNT{ (n)--() } AS totalEdgeCount - :result:12 -2024-10-30 06:49:56,504 - lightrag - INFO - _find_node_degree:query: - MATCH (n:`BOB CRATCHIT`) - RETURN COUNT{ (n)--() } AS totalEdgeCount - :result:21 -2024-10-30 06:50:07,217 - lightrag - INFO - get_node:query:MATCH (n:`MARLEY`) RETURN n:result:"Marley is Scrooge\'s deceased business partner whose presence looms over the story, symbolizing the consequences of a life similar to Scrooge\'s.""Marley is Scrooge\'s deceased business partner, whose death is a significant event that sets the tone for the story.""Marley is Scrooge\'s deceased business partner, whose death is mentioned as impactful, having passed seven years prior to the events in the text.""Marley is depicted as a ghost, having a pigtail, waistcoat, tights, and boots, and is central to Scrooge\'s haunting experience."Marley is Scrooge\'s deceased business partner, whose presence looms over the narrative of the story, symbolizing the dire consequences of a life lived without compassion and care for others. His death serves as a significant event that sets the tone for the plot and reflects the overarching themes of regret and the supernatural.\n\nMarley passed away seven years prior to the events depicted, making his spectral appearance even more impactful. Despite being a character who is only mentioned throughout much of the story, his influence on Scrooge is profound, as reflections and memories of Marley shape Scrooge\'s perspective on life and relationships. This ghostly figure is depicted distinctly with a pigtail, waistcoat, tights, and boots, making him central to Scrooge\'s haunting experience.\n\nOverall, Marley represents the weight of past actions and the importance of empathy, acting as a harbinger of transformation for Scrooge. His ghostly manifestation evokes both fear and introspection, ultimately contributing to the moral lessons embedded in the tale."Marley is Scrooge\'s deceased business partner, whose death is a significant event that sets the tone for the story.""Marley is Scrooge\'s deceased business partner, whose death is mentioned as impactful, having passed seven years prior to the events in the text.""Marley is depicted as a ghost, having a pigtail, waistcoat, tights, and boots, and is central to Scrooge\'s haunting experience."', 'source_id': 'chunk-5dac41b3f9eeaf794f0147400b1718cdchunk-89777b838d5447c7bd1ec11282c4ee89chunk-d9aac3484185ac66045df92214d245d5chunk-9c43dac2fcd5b578242d907ea6f8fc7bchunk-843b5b2f944c7413d9ca876e2e2f151f'}> -2024-10-30 06:50:07,304 - lightrag - INFO - get_node:query:MATCH (n:`THE CITY`) RETURN n:result:"The City represents the bustling urban environment where Scrooge reflects on his past, filled with activity and shadowy figures.""The City, from which Scrooge is transported, represents his past life and is contrasted with the open country road that signifies his memories.""The City refers to the broader urban environment in which Scrooge operates and signifies the societal norms and attitudes towards Christmas.""The City represents the bustling urban environment where Scrooge\'s memories unfold, highlighting the contrast between his past and present.""The City refers to the broader urban environment in which Scrooge operates and signifies the societal norms and attitudes towards Christmas.""The City represents the bustling urban environment where Scrooge\'s memories unfold, highlighting the contrast between his past and present.""The City refers to the broader urban environment in which Scrooge operates and signifies the societal norms and attitudes towards Christmas.""The City represents the bustling urban environment where Scrooge\'s memories unfold, highlighting the contrast between his past and present.""The City refers to the broader urban environment in which Scrooge operates and signifies the societal norms and attitudes towards Christmas.""The City represents the bustling urban environment where Scrooge\'s memories unfold, highlighting the contrast between his past and present.""The City refers to the broader urban environment in which Scrooge operates and signifies the societal norms and attitudes towards Christmas.""The City represents the bustling urban environment where Scrooge\'s memories unfold, highlighting the contrast between his past and present."', 'source_id': 'chunk-74e2466de2f67fd710ef2f20c0a8d9e0chunk-c6c248858d1b13ab7ee9ca13c1aeed6bchunk-94bea83e7153fc2064aa382b494936a1chunk-bb21d58d36c6306fd8810ddd51c4a971'}> -2024-10-30 06:50:07,389 - lightrag - INFO - get_node:query:MATCH (n:`BEDLAM`) RETURN n:result:"Bedlam is referenced as a metaphorical expression of madness, illustrating Scrooge\'s disdain for cheerful attitudes he finds absurd.""Bedlam is referenced as a metaphorical expression of madness, illustrating Scrooge\'s disdain for cheerful attitudes he finds absurd.""Bedlam is referenced as a metaphorical expression of madness, illustrating Scrooge\'s disdain for cheerful attitudes he finds absurd.""Bedlam is referenced as a metaphorical expression of madness, illustrating Scrooge\'s disdain for cheerful attitudes he finds absurd.""Bedlam is referenced as a metaphorical place for madness, illustrating Scrooge\'s disdain for the cheerful nature of Christmas and his sense of isolation."', 'source_id': 'chunk-5dac41b3f9eeaf794f0147400b1718cd'}> -2024-10-30 06:50:07,472 - lightrag - INFO - get_node:query:MATCH (n:`MASTER PETER CRATCHIT`) RETURN n:result: -2024-10-30 06:50:07,559 - lightrag - INFO - get_node:query:MATCH (n:`VALENTINE`) RETURN n:result:"Valentine is mentioned as a character associated with Scrooge\'s childhood memories, indicating the depth of his nostalgia.""Valentine is mentioned as a character associated with Scrooge\'s childhood memories, indicating the depth of his nostalgia.""Valentine is mentioned as a character associated with Scrooge\'s childhood memories, indicating the depth of his nostalgia.""Valentine is mentioned as a character associated with Scrooge\'s childhood memories, indicating the depth of his nostalgia.""Valentine is referenced as a brother of a character, and his presence contributes to the holiday memories Scrooge recalls."', 'source_id': 'chunk-8590d9263cd2cd4fa583c432fc54e6c3'}> -2024-10-30 06:50:07,645 - lightrag - INFO - get_node:query:MATCH (n:`BRIDGE`) RETURN n:result: -2024-10-30 06:50:07,731 - lightrag - INFO - get_node:query:MATCH (n:`FROST`) RETURN n:result: -2024-10-30 06:50:07,819 - lightrag - INFO - get_node:query:MATCH (n:`THE CHRISTMAS DINNER`) RETURN n:result: -2024-10-30 06:50:07,908 - lightrag - INFO - get_node:query:MATCH (n:`THE POULTERER'S`) RETURN n:result:"The Poulterer\'s is a shop mentioned by Scrooge, relevant in the context of his generous actions towards the Cratchit family.""The Poulterer\'s is a shop mentioned by Scrooge, relevant in the context of his generous actions towards the Cratchit family.""The Poulterer\'s is a shop mentioned by Scrooge, relevant in the context of his generous actions towards the Cratchit family.""The Poulterer\'s is a shop mentioned by Scrooge, relevant in the context of his generous actions towards the Cratchit family.""The Poulterer\'s is a shop where Scrooge intends to buy a turkey for the Cratchit family."', 'source_id': 'chunk-90b95db5c53e4364a6bee36b7aa4d70f'}> -2024-10-30 06:50:07,995 - lightrag - INFO - get_node:query:MATCH (n:`CHRISTMAS CAROL`) RETURN n:result:"The Christmas Carol is a musical tradition performed during the Christmas season, symbolizing goodwill and festive spirit."', 'source_id': 'chunk-90d5764e301321c087f5a8f78b73a145chunk-8590d9263cd2cd4fa583c432fc54e6c3'}> -2024-10-30 06:50:08,087 - lightrag - INFO - get_node:query:MATCH (n:`JOE`) RETURN n:result:"Joe is a marine-store dealer depicted as receiving stolen goods, illustrating the consequences of crime and the darker sides of society.""Joe is portrayed as a character engaged in a conversation about the deceased, displaying a mix of humor and practicality in dealing with the possessions of the dead.""Joe is a character who interacts with others, demonstrating a sense of curiosity and disbelief regarding certain situations and comments.""Joe is a marine-store dealer and receiver of stolen goods, indicative of the darker, more unscrupulous elements of society.""Joe is an old character who engages in conversation about the deceased man\'s belongings, revealing his pragmatic and somewhat cynical perspective on life and death.""Joe is a character who interacts with others, demonstrating a sense of curiosity and disbelief regarding certain situations and comments.""Joe is a marine-store dealer and receiver of stolen goods, indicative of the darker, more unscrupulous elements of society.""Joe is an old character who engages in conversation about the deceased man\'s belongings, revealing his pragmatic and somewhat cynical perspective on life and death.""Joe is a character who interacts with others, demonstrating a sense of curiosity and disbelief regarding certain situations and comments.""Joe is a marine-store dealer and receiver of stolen goods, indicative of the darker, more unscrupulous elements of society.""Joe is an old character who engages in conversation about the deceased man\'s belongings, revealing his pragmatic and somewhat cynical perspective on life and death.""Joe is a character who interacts with others, demonstrating a sense of curiosity and disbelief regarding certain situations and comments.""Joe is a marine-store dealer and receiver of stolen goods, indicative of the darker, more unscrupulous elements of society.""Joe is an old character who engages in conversation about the deceased man\'s belongings, revealing his pragmatic and somewhat cynical perspective on life and death.""Joe is a character who interacts with others, demonstrating a sense of curiosity and disbelief regarding certain situations and comments.""Joe is a marine-store dealer and receiver of stolen goods, indicative of the darker, more unscrupulous elements of society.""Joe is an old character who engages in conversation about the deceased man\'s belongings, revealing his pragmatic and somewhat cynical perspective on life and death."', 'source_id': 'chunk-e1f29eeadc1d8ab46dc8a0bbd3c56b64chunk-9e3921da66da5d761ab73cd849af6c43chunk-89777b838d5447c7bd1ec11282c4ee89'}> -2024-10-30 06:50:08,174 - lightrag - INFO - get_node:query:MATCH (n:`SCROOGE'S NIECE`) RETURN n:result:"Scrooge\'s Niece is a lively character who expresses indignation towards Scrooge\'s disdain for Christmas and embodies warmth and charm, showing affection and concern for family.""Scrooge\'s Niece is a lively character who expresses indignation towards Scrooge\'s disdain for Christmas and embodies warmth and charm, showing affection and concern for family.""Scrooge\'s Niece is a lively character who expresses indignation towards Scrooge\'s disdain for Christmas and embodies warmth and charm, showing affection and concern for family.""Scrooge\'s Niece is a lively character who expresses indignation towards Scrooge\'s disdain for Christmas and embodies warmth and charm, showing affection and concern for family.""Scrooge\'s Niece is depicted as a beautiful and lively character who expresses strong opinions about her uncle Scrooge.""Scrooge\'s niece is depicted as a joyful participant in the evening\'s festivities, engaging in games and music.""Scrooge\'s niece is a central figure in the family gathering, enjoying the festivities and games, showing a loving and vibrant personality.""Scrooge\'s niece is a central figure in the family gathering, enjoying the festivities and games, showing a loving and vibrant personality.""Scrooge\'s niece is a central figure in the family gathering, enjoying the festivities and games, showing a loving and vibrant personality.""Scrooge\'s niece is a central figure in the family gathering, enjoying the festivities and games, showing a loving and vibrant personality.""Scrooge\'s niece is a central figure in the family gathering, enjoying the festivities and games, showing a loving and vibrant personality."', 'source_id': 'chunk-773d0df1dd25c356f7b771d780583e09chunk-43c9bee23adfa77aa9dedd22401bba7d'}> -2024-10-30 06:50:08,260 - lightrag - INFO - get_node:query:MATCH (n:`THE CLERK`) RETURN n:result:"The Clerk is an employee of Scrooge, who quietly awaits the end of the workday and represents the working class.""The Clerk works in Scrooge\'s counting-house, depicted as miserable and diminished under Scrooge\'s strict management."', 'source_id': 'chunk-90d5764e301321c087f5a8f78b73a145chunk-74e2466de2f67fd710ef2f20c0a8d9e0chunk-5dac41b3f9eeaf794f0147400b1718cd'}> -2024-10-30 06:50:08,346 - lightrag - INFO - get_node:query:MATCH (n:`THE LORD`) RETURN n:result:"The Lord is referenced in Martha\'s account of her work, underscoring the contrast between the Cratchit family\'s modest means and the nobility.""The Lord is referenced in Martha\'s account of her work, underscoring the contrast between the Cratchit family\'s modest means and the nobility.""The Lord is referenced in Martha\'s account of her work, underscoring the contrast between the Cratchit family\'s modest means and the nobility.""The Lord is referenced in Martha\'s account of her work, underscoring the contrast between the Cratchit family\'s modest means and the nobility.""The Lord is referenced in Martha\'s account of her work, underscoring the contrast between the Cratchit family\'s modest means and the nobility."', 'source_id': 'chunk-19d72c57ae3408758b18d2568e86dc6b'}> -2024-10-30 06:50:08,434 - lightrag - INFO - get_node:query:MATCH (n:`THE SHIP`) RETURN n:result:"The Ship is a vessel where the crew shares moments of kindness and reflection during Christmas, symbolizing unity and camaraderie.""The Ship is a vessel where the crew shares moments of kindness and reflection during Christmas, symbolizing unity and camaraderie.""The Ship is a vessel where the crew shares moments of kindness and reflection during Christmas, symbolizing unity and camaraderie.""The Ship is a vessel where the crew shares moments of kindness and reflection during Christmas, symbolizing unity and camaraderie.""The Ship is described as a vessel on the open sea, where the crew reflects on Christmas, showcasing camaraderie and a sense of belonging."', 'source_id': 'chunk-91614df5cb74cbe5e109a338a82041e9'}> -2024-10-30 06:50:08,521 - lightrag - INFO - get_node:query:MATCH (n:`TINY TIM`) RETURN n:result:chunk-19d72c57ae3408758b18d2568e86dc6bchunk-503f0bfa5453467c7c61d160a3540ecachunk-91572b3cd42786ba4cb2f180ca25cbf4chunk-9e3921da66da5d761ab73cd849af6c43chunk-8f738cb25d60a7dab782162d9d0a25edchunk-94bea83e7153fc2064aa382b494936a1chunk-83ac129dc9b56f84c46760d153d68e93chunk-7e2e7ebcc19a53b399dc03aded4743e7chunk-1d4b58de5429cd1261370c231c8673e8'}> -2024-10-30 06:50:08,610 - lightrag - INFO - get_node:query:MATCH (n:`SMOKING BISHOP`) RETURN n:result: -2024-10-30 06:50:08,697 - lightrag - INFO - get_node:query:MATCH (n:`FRIDAY`) RETURN n:result:"Friday is another character from the story of Robin Crusoe, noted in Scrooge\'s memories, indicating the impact of literature on his nostalgia.""Friday is another character from the story of Robin Crusoe, noted in Scrooge\'s memories, indicating the impact of literature on his nostalgia.""Friday is another character from the story of Robin Crusoe, noted in Scrooge\'s memories, indicating the impact of literature on his nostalgia.""Friday is another character from the story of Robin Crusoe, noted in Scrooge\'s memories, indicating the impact of literature on his nostalgia.""Friday is another character from the story of Robin Crusoe, noted in Scrooge\'s memories, indicating the impact of literature on his nostalgia."', 'source_id': 'chunk-8590d9263cd2cd4fa583c432fc54e6c3'}> -2024-10-30 06:50:08,784 - lightrag - INFO - get_node:query:MATCH (n:`LITTLE FAN`) RETURN n:result: -2024-10-30 06:50:08,870 - lightrag - INFO - get_node:query:MATCH (n:`GROCERS'`) RETURN n:result: -2024-10-30 06:50:08,957 - lightrag - INFO - get_node:query:MATCH (n:`OLD SCROOGE`) RETURN n:result: -2024-10-30 06:50:09,044 - lightrag - INFO - get_node:query:MATCH (n:`SUNDAY CLOTHES BOY`) RETURN n:result: -2024-10-30 06:50:09,133 - lightrag - INFO - get_node:query:MATCH (n:`THE LOW-BROWED SHOP`) RETURN n:result:"The Low-Browed Shop is a grim establishment in the town dealing in various unwanted goods, representing decay and desperation.""The Low-Browed Shop is a grim establishment in the town dealing in various unwanted goods, representing decay and desperation.""The Low-Browed Shop is a grim establishment in the town dealing in various unwanted goods, representing decay and desperation.""The Low-Browed Shop is a grim establishment in the town dealing in various unwanted goods, representing decay and desperation.""The Low-Browed Shop is a setting that symbolizes neglect and degradation, filled with discarded items and representing societal decay."', 'source_id': 'chunk-f1a4fbcf1ed86864b9bfd5e8dba4c683'}> -2024-10-30 06:50:09,219 - lightrag - INFO - get_node:query:MATCH (n:`WANT`) RETURN n:result:"Want is represented as the second child shown by the Spirit, symbolizing the dire social conditions and needs of the impoverished.""Want represents another societal failing, portrayed as a girl, symbolizing deprivation and yearning for basic needs.""Want is represented as the second child shown by the Spirit, symbolizing the dire social conditions and needs of the impoverished.""Want represents another societal failing, portrayed as a girl, symbolizing deprivation and yearning for basic needs.""Want is represented as the second child shown by the Spirit, symbolizing the dire social conditions and needs of the impoverished.""Want represents another societal failing, portrayed as a girl, symbolizing deprivation and yearning for basic needs.""Want is represented as the second child shown by the Spirit, symbolizing the dire social conditions and needs of the impoverished.""Want represents another societal failing, portrayed as a girl, symbolizing deprivation and yearning for basic needs.""Want is represented as the second child shown by the Spirit, symbolizing the dire social conditions and needs of the impoverished.""Want represents another societal failing, portrayed as a girl, symbolizing deprivation and yearning for basic needs."', 'source_id': 'chunk-02baee20cc9463dbe08170a8e1043e32chunk-e7637ff18c5ded77a68cce0a87883fad'}> -2024-10-30 06:50:09,300 - lightrag - INFO - get_node:query:MATCH (n:`THE FOG AND FROST`) RETURN n:result: -2024-10-30 06:50:09,388 - lightrag - INFO - get_node:query:MATCH (n:`FOG`) RETURN n:result:"Fog is a weather phenomenon that adds to the bleak atmosphere, reflecting the obscurity and confusion in Scrooge\'s life.""Fog represents the obscured visibility and confusion in Scrooge\'s surroundings, enhancing the atmosphere of uncertainty and apprehension.""Fog represents the obscurity and isolation in the environment, mirroring Scrooge’s emotional distance and isolation from society.""Fog represents the obscured visibility and confusion in Scrooge\'s surroundings, enhancing the atmosphere of uncertainty and apprehension.""Fog represents the obscurity and isolation in the environment, mirroring Scrooge’s emotional distance and isolation from society.""Fog represents the obscured visibility and confusion in Scrooge\'s surroundings, enhancing the atmosphere of uncertainty and apprehension.""Fog represents the obscurity and isolation in the environment, mirroring Scrooge’s emotional distance and isolation from society.""Fog represents the obscured visibility and confusion in Scrooge\'s surroundings, enhancing the atmosphere of uncertainty and apprehension.""Fog represents the obscurity and isolation in the environment, mirroring Scrooge’s emotional distance and isolation from society.""Fog represents the obscured visibility and confusion in Scrooge\'s surroundings, enhancing the atmosphere of uncertainty and apprehension.""Fog represents the obscurity and isolation in the environment, mirroring Scrooge’s emotional distance and isolation from society."', 'source_id': 'chunk-c7b10789a9cb0af6c553730b29bd9034chunk-d9aac3484185ac66045df92214d245d5chunk-74e2466de2f67fd710ef2f20c0a8d9e0'}> -2024-10-30 06:50:09,477 - lightrag - INFO - get_node:query:MATCH (n:`THE WINDOW`) RETURN n:result:"The Window is a physical presence in Scrooge\'s chamber that he approaches to observe the supernatural occurrences outside.""The Window is a physical presence in Scrooge\'s chamber that he approaches to observe the supernatural occurrences outside.""The Window is a physical presence in Scrooge\'s chamber that he approaches to observe the supernatural occurrences outside.""The Window is a physical presence in Scrooge\'s chamber that he approaches to observe the supernatural occurrences outside.""The Window represents a threshold between the visible and invisible worlds, allowing Scrooge a view into the realm of spirits and their lamentations."', 'source_id': 'chunk-cb661c37436355ccec2769b1d0350c5f'}> -2024-10-30 06:50:09,563 - lightrag - INFO - get_node:query:MATCH (n:`BELLE`) RETURN n:result:"Belle is Scrooge\'s former love, evidence of care and affection, now mentioned in the context of Scrooge’s memories.""Belle is Scrooge\'s former love, evidence of care and affection, now mentioned in the context of Scrooge’s memories.""Belle is Scrooge\'s former love, evidence of care and affection, now mentioned in the context of Scrooge’s memories.""Belle is Scrooge\'s former love, evidence of care and affection, now mentioned in the context of Scrooge’s memories.""Belle is Scrooge\'s former love, evidence of care and affection, now mentioned in the context of Scrooge’s memories."', 'source_id': 'chunk-da2472b4ef2a535b62908f14d0fb0ca9'}> -2024-10-30 06:50:09,648 - lightrag - INFO - get_node:query:MATCH (n:`BOB`) RETURN n:result:"Bob is referenced humorously by Scrooge in the context of a joke regarding a large turkey.""Bob is likely referenced as a character who may receive the turkey sent by Scrooge, highlighting the theme of generosity.""Bob is likely referenced as a character who may receive the turkey sent by Scrooge, highlighting the theme of generosity.""Bob is likely referenced as a character who may receive the turkey sent by Scrooge, highlighting the theme of generosity.""Bob is likely referenced as a character who may receive the turkey sent by Scrooge, highlighting the theme of generosity.""Bob is likely referenced as a character who may receive the turkey sent by Scrooge, highlighting the theme of generosity."', 'source_id': 'chunk-91572b3cd42786ba4cb2f180ca25cbf4chunk-8f738cb25d60a7dab782162d9d0a25ed'}> -2024-10-30 06:50:09,735 - lightrag - INFO - get_node:query:MATCH (n:`FELLOW-BEINGS`) RETURN n:result: -2024-10-30 06:50:09,822 - lightrag - INFO - get_node:query:MATCH (n:`CHRISTMAS`) RETURN n:result:chunk-c6c248858d1b13ab7ee9ca13c1aeed6bchunk-99b0ec7f7e006561352b5d65e849611dchunk-02baee20cc9463dbe08170a8e1043e32chunk-503f0bfa5453467c7c61d160a3540ecachunk-91572b3cd42786ba4cb2f180ca25cbf4chunk-8f738cb25d60a7dab782162d9d0a25edchunk-94bea83e7153fc2064aa382b494936a1chunk-1d4b58de5429cd1261370c231c8673e8chunk-74e2466de2f67fd710ef2f20c0a8d9e0chunk-89777b838d5447c7bd1ec11282c4ee89chunk-90d5764e301321c087f5a8f78b73a145chunk-91614df5cb74cbe5e109a338a82041e9chunk-54bdd22db1f84a965b5f4c06c9216d8dchunk-773d0df1dd25c356f7b771d780583e09chunk-5dac41b3f9eeaf794f0147400b1718cdchunk-43c9bee23adfa77aa9dedd22401bba7dchunk-da2472b4ef2a535b62908f14d0fb0ca9chunk-8590d9263cd2cd4fa583c432fc54e6c3'}> -2024-10-30 06:50:09,907 - lightrag - INFO - get_node:query:MATCH (n:`SPIRIT OF CHRISTMAS PRESENT`) RETURN n:result: -2024-10-30 06:50:09,997 - lightrag - INFO - get_node:query:MATCH (n:`MRS. CRATCHIT`) RETURN n:result:"Mrs. Cratchit is Bob\'s wife, proud of her cooking skills, particularly the Christmas pudding, and plays a central role in the family\'s holiday celebration.""Mrs. Cratchit is Bob\'s wife, who expresses care for her family and shares in the emotional moments surrounding Tiny Tim\'s health.""Mrs. Cratchit is portrayed as outspoken and resentful towards Scrooge, yet ultimately participates in the Christmas festivities for her family\'s sake.""Mrs. Cratchit is the mother of the Cratchit family, depicted as nurturing and energetic, managing the Christmas preparations and caring for her children.""Mrs. Cratchit is the wife of Bob Cratchit, who supports her family and embodies warmth and resilience despite their struggles.""Mrs. Cratchit, the wife of Bob, is industrious and caring, focused on the well-being of her family."Mrs. Cratchit is Bob Cratchit\'s devoted and hardworking wife, who plays a vital role in nurturing their family. She is characterized by her strong dedication to creating a joyous atmosphere in their home, despite the financial difficulties they face. As the mother of the Cratchit family, Mrs. Cratchit is nurturing and energetic, diligently managing Christmas preparations and ensuring that her children are well taken care of.\n\nProud of her cooking skills, particularly her Christmas pudding, Mrs. Cratchit showcases her commitment to family traditions. During the holiday festivities, she is actively involved, embodying warmth and resilience as she prepares meals and engages in celebrations that lift her family’s spirits. Her love for her family is evident as she expresses concern for her children, especially Tiny Tim, whose health brings emotional depth to their Christmas gathering.\n\nWhile she is portrayed as outspoken and harboring resentment towards Scrooge, she ultimately puts aside her feelings to fully participate in the Christmas festivities for the sake of her family. Her character embodies a blend of strength and vulnerability, reflecting both her pride and her struggles, and she remains a pivotal figure in the family\'s emotional dynamics during the holiday season.', 'source_id': 'chunk-b0f459f5af1c3a5e0b92cbe4ee48b77bchunk-19d72c57ae3408758b18d2568e86dc6bchunk-503f0bfa5453467c7c61d160a3540ecachunk-91572b3cd42786ba4cb2f180ca25cbf4chunk-9e3921da66da5d761ab73cd849af6c43chunk-7e2e7ebcc19a53b399dc03aded4743e7chunk-1d4b58de5429cd1261370c231c8673e8'}> -2024-10-30 06:50:10,084 - lightrag - INFO - get_node:query:MATCH (n:`STREET`) RETURN n:result: -2024-10-30 06:50:10,171 - lightrag - INFO - get_node:query:MATCH (n:`THE PRESENT`) RETURN n:result:"The Present emphasizes the importance of living in the moment and embracing current opportunities for change.""The Present emphasizes the importance of living in the moment and embracing current opportunities for change.""The Present emphasizes the importance of living in the moment and embracing current opportunities for change.""The Present emphasizes the importance of living in the moment and embracing current opportunities for change.""The Present represents the current moment in Scrooge\'s life that he must recognize and change to achieve redemption."', 'source_id': 'chunk-91572b3cd42786ba4cb2f180ca25cbf4'}> -2024-10-30 06:50:10,260 - lightrag - INFO - get_node:query:MATCH (n:`THE HOUSE`) RETURN n:result:"The House is the setting for Scrooge\'s encounters, characterized by its darkness, the creaking sounds, and the presence of the ghost.""The House is the setting for Scrooge\'s encounters, characterized by its darkness, the creaking sounds, and the presence of the ghost.""The House is the setting for Scrooge\'s encounters, characterized by its darkness, the creaking sounds, and the presence of the ghost.""The House is the setting for Scrooge\'s encounters, characterized by its darkness, the creaking sounds, and the presence of the ghost.""The House is the setting for the Christmas celebration and interactions among the characters, embodying warmth and family togetherness.""The House is the setting where Scrooge experiences the haunting, with a description of its features contributing to the eerie atmosphere."', 'source_id': 'chunk-da2472b4ef2a535b62908f14d0fb0ca9chunk-9c43dac2fcd5b578242d907ea6f8fc7b'}> -2024-10-30 06:50:10,347 - lightrag - INFO - get_node:query:MATCH (n:`CLERK`) RETURN n:result:"The Clerk is a minor character who provides a contrast to Scrooge\'s character, expressing warmth and kindness during the holiday season.""The Clerk is a minor character who provides a contrast to Scrooge\'s character, expressing warmth and kindness during the holiday season.""The Clerk is a minor character who provides a contrast to Scrooge\'s character, expressing warmth and kindness during the holiday season.""The Clerk is a minor character who provides a contrast to Scrooge\'s character, expressing warmth and kindness during the holiday season.""The Clerk is an unnamed character who serves Scrooge, exhibiting a hopeful disposition despite Scrooge\'s ill-tempered management."', 'source_id': 'chunk-d9aac3484185ac66045df92214d245d5chunk-5dac41b3f9eeaf794f0147400b1718cd'}> -2024-10-30 06:50:10,434 - lightrag - INFO - get_node:query:MATCH (n:`THE LIGHTHOUSE`) RETURN n:result:"The Lighthouse serves as a solitary structure representing hope and guidance amid a stormy sea, populated by individuals celebrating Christmas.""The Lighthouse serves as a solitary structure representing hope and guidance amid a stormy sea, populated by individuals celebrating Christmas.""The Lighthouse serves as a solitary structure representing hope and guidance amid a stormy sea, populated by individuals celebrating Christmas.""The Lighthouse serves as a solitary structure representing hope and guidance amid a stormy sea, populated by individuals celebrating Christmas.""The Lighthouse serves as a solitary structure representing hope and guidance amid a stormy sea, populated by individuals celebrating Christmas."', 'source_id': 'chunk-91614df5cb74cbe5e109a338a82041e9'}> -2024-10-30 06:50:10,518 - lightrag - INFO - get_node:query:MATCH (n:`APPLES`) RETURN n:result: -2024-10-30 06:50:10,602 - lightrag - INFO - get_node:query:MATCH (n:`THE FUTURE`) RETURN n:result:"The Future represents the potential outcomes of Scrooge’s life choices, depicted through the visions shown by the Spirits.""The Future refers to the outcomes that Scrooge may face based on his current actions, raising themes of choice and consequence.""The Future refers to the outcomes that Scrooge may face based on his current actions, raising themes of choice and consequence.""The Future refers to the outcomes that Scrooge may face based on his current actions, raising themes of choice and consequence.""The Future refers to the outcomes that Scrooge may face based on his current actions, raising themes of choice and consequence.""The Future refers to the outcomes that Scrooge may face based on his current actions, raising themes of choice and consequence."', 'source_id': 'chunk-91572b3cd42786ba4cb2f180ca25cbf4chunk-02baee20cc9463dbe08170a8e1043e32'}> -2024-10-30 06:50:10,687 - lightrag - INFO - get_node:query:MATCH (n:`COURT`) RETURN n:result: -2024-10-30 06:50:10,775 - lightrag - INFO - get_node:query:MATCH (n:`BOB CRATCHIT`) RETURN n:result:chunk-90b95db5c53e4364a6bee36b7aa4d70fchunk-d9aac3484185ac66045df92214d245d5chunk-19d72c57ae3408758b18d2568e86dc6bchunk-503f0bfa5453467c7c61d160a3540ecachunk-91572b3cd42786ba4cb2f180ca25cbf4chunk-9e3921da66da5d761ab73cd849af6c43chunk-94bea83e7153fc2064aa382b494936a1chunk-83ac129dc9b56f84c46760d153d68e93chunk-7e2e7ebcc19a53b399dc03aded4743e7chunk-1d4b58de5429cd1261370c231c8673e8'}> -2024-10-30 06:50:10,861 - lightrag - INFO - get_node:query:MATCH (n:`RED-FACED GENTLEMAN`) RETURN n:result: -2024-10-30 06:50:10,954 - lightrag - INFO - get_node:query:MATCH (n:`BELINDA CRATCHIT`) RETURN n:result:"Belinda Cratchit is one of Bob Cratchit\'s daughters, assisting her mother in laying the dining cloth.""Belinda is a daughter of Bob and Mrs. Cratchit, representing the Cratchit family\'s love and unity during difficult times.""Belinda Cratchit is one of Bob\'s daughters, assisting in household tasks and showing a strong familial bond.""Belinda is the daughter of Bob and Mrs. Cratchit, representing the innocence and joyful spirit of the Cratchit family.""Belinda Cratchit is one of Bob\'s daughters, assisting in household tasks and showing a strong familial bond.""Belinda is the daughter of Bob and Mrs. Cratchit, representing the innocence and joyful spirit of the Cratchit family.""Belinda Cratchit is one of Bob\'s daughters, assisting in household tasks and showing a strong familial bond.""Belinda is the daughter of Bob and Mrs. Cratchit, representing the innocence and joyful spirit of the Cratchit family.""Belinda Cratchit is one of Bob\'s daughters, assisting in household tasks and showing a strong familial bond.""Belinda is the daughter of Bob and Mrs. Cratchit, representing the innocence and joyful spirit of the Cratchit family.""Belinda Cratchit is one of Bob\'s daughters, assisting in household tasks and showing a strong familial bond.""Belinda is the daughter of Bob and Mrs. Cratchit, representing the innocence and joyful spirit of the Cratchit family."', 'source_id': 'chunk-7e2e7ebcc19a53b399dc03aded4743e7chunk-9e3921da66da5d761ab73cd849af6c43chunk-b0f459f5af1c3a5e0b92cbe4ee48b77b'}> -2024-10-30 06:50:11,042 - lightrag - INFO - get_node:query:MATCH (n:`HOPE`) RETURN n:result:"Hope emerges as a central theme in the characters\' lives, particularly through Caroline\'s reaction to news about the husband and the family\'s future.""Hope emerges as a central theme in the characters\' lives, particularly through Caroline\'s reaction to news about the husband and the family\'s future.""Hope emerges as a central theme in the characters\' lives, particularly through Caroline\'s reaction to news about the husband and the family\'s future.""Hope emerges as a central theme in the characters\' lives, particularly through Caroline\'s reaction to news about the husband and the family\'s future.""Hope represents the aspirations and dreams that characters have, particularly in the context of the matron\'s optimistic nature.""Hope represents the aspirations and dreams that characters have, particularly in the context of the matron\'s optimistic nature.""Hope represents the aspirations and dreams that characters have, particularly in the context of the matron\'s optimistic nature.""Hope represents the aspirations and dreams that characters have, particularly in the context of the matron\'s optimistic nature.""Hope represents the aspirations and dreams that characters have, particularly in the context of the matron\'s optimistic nature."', 'source_id': 'chunk-54bdd22db1f84a965b5f4c06c9216d8dchunk-83ac129dc9b56f84c46760d153d68e93'}> -2024-10-30 06:50:11,130 - lightrag - INFO - get_node:query:MATCH (n:`THE CHURCH`) RETURN n:result:"The Church is a location from where the clock chimes are heard, marking the passage of time and contributing to the atmosphere of the scene.""The Church is a location from where the clock chimes are heard, marking the passage of time and contributing to the atmosphere of the scene.""The Church is a location from where the clock chimes are heard, marking the passage of time and contributing to the atmosphere of the scene.""The Church is a location from where the clock chimes are heard, marking the passage of time and contributing to the atmosphere of the scene.""The Church is a place Scrooge visits, indicating his desire to engage in the Christmas spirit and community.""The Church is a place referenced in the context of the community\'s sentiments toward Christmas and social welfare.""The Church is a place referenced in the context of the community\'s sentiments toward Christmas and social welfare.""The Church is a place referenced in the context of the community\'s sentiments toward Christmas and social welfare.""The Church is a place referenced in the context of the community\'s sentiments toward Christmas and social welfare.""The Church is a place referenced in the context of the community\'s sentiments toward Christmas and social welfare."', 'source_id': 'chunk-cb661c37436355ccec2769b1d0350c5fchunk-8f738cb25d60a7dab782162d9d0a25edchunk-90d5764e301321c087f5a8f78b73a145'}> -2024-10-30 06:50:11,221 - lightrag - INFO - get_node:query:MATCH (n:`THE GOLDEN IDOL`) RETURN n:result: -2024-10-30 06:50:11,308 - lightrag - INFO - get_node:query:MATCH (n:`EBENEZER SCROOGE`) RETURN n:result:chunk-c7b10789a9cb0af6c553730b29bd9034chunk-9e3921da66da5d761ab73cd849af6c43'}> -2024-10-30 06:50:11,394 - lightrag - INFO - get_node:query:MATCH (n:`PETER`) RETURN n:result:"Peter is one of the Cratchit children, who occasionally expresses a sense of duty and future aspirations, contributing to family discussions.""Peter is a son in the Cratchit family, responsible and calm, attempting to engage his siblings amidst a tense family situation and financial uncertainty.""Peter is the son of Bob and Mrs. Cratchit, showing concern and support for his father and siblings.""Peter is a son in the Cratchit family, responsible and calm, attempting to engage his siblings amidst a tense family situation and financial uncertainty.""Peter is the son of Bob and Mrs. Cratchit, showing concern and support for his father and siblings.""Peter is a son in the Cratchit family, responsible and calm, attempting to engage his siblings amidst a tense family situation and financial uncertainty.""Peter is the son of Bob and Mrs. Cratchit, showing concern and support for his father and siblings.""Peter is a son in the Cratchit family, responsible and calm, attempting to engage his siblings amidst a tense family situation and financial uncertainty.""Peter is the son of Bob and Mrs. Cratchit, showing concern and support for his father and siblings.""Peter is a son in the Cratchit family, responsible and calm, attempting to engage his siblings amidst a tense family situation and financial uncertainty.""Peter is the son of Bob and Mrs. Cratchit, showing concern and support for his father and siblings."', 'source_id': 'chunk-83ac129dc9b56f84c46760d153d68e93chunk-1d4b58de5429cd1261370c231c8673e8'}> -2024-10-30 06:50:11,481 - lightrag - INFO - get_node:query:MATCH (n:`PORTLY GENTLEMEN`) RETURN n:result: -2024-10-30 06:50:11,567 - lightrag - INFO - get_node:query:MATCH (n:`THE REGISTER`) RETURN n:result: -2024-10-30 06:50:11,657 - lightrag - INFO - get_node:query:MATCH (n:`MULTITUDES`) RETURN n:result: -2024-10-30 06:50:11,746 - lightrag - INFO - get_node:query:MATCH (n:`GHOST OF CHRISTMAS YET TO COME`) RETURN n:result:"The Ghost of Christmas Yet to Come is a foreboding spirit that shows Scrooge the potential consequences of his actions if he does not change.""The Ghost of Christmas Yet to Come is a foreboding spirit that shows Scrooge the potential consequences of his actions if he does not change.""The Ghost of Christmas Yet to Come is a foreboding spirit that shows Scrooge the potential consequences of his actions if he does not change.""The Ghost of Christmas Yet to Come is a foreboding spirit that shows Scrooge the potential consequences of his actions if he does not change.""The Ghost of Christmas Yet to Come is an apparition that presents Scrooge with a grim vision of his possible future if he doesn\'t change his ways.""The Ghost of Christmas Yet to Come is an event within the story that signifies Scrooge\'s confrontation with the future consequences of his actions.""The Ghost of Christmas Yet to Come signifies a pivotal moment where Scrooge is confronted with the potential futures resulting from his life choices.""The Ghost of Christmas Yet to Come signifies a pivotal moment where Scrooge is confronted with the potential futures resulting from his life choices.""The Ghost of Christmas Yet to Come signifies a pivotal moment where Scrooge is confronted with the potential futures resulting from his life choices.""The Ghost of Christmas Yet to Come signifies a pivotal moment where Scrooge is confronted with the potential futures resulting from his life choices.""The Ghost of Christmas Yet to Come signifies a pivotal moment where Scrooge is confronted with the potential futures resulting from his life choices."', 'source_id': 'chunk-02baee20cc9463dbe08170a8e1043e32chunk-9e3921da66da5d761ab73cd849af6c43'}> -2024-10-30 06:50:11,833 - lightrag - INFO - get_node:query:MATCH (n:`THE YARD`) RETURN n:result: -2024-10-30 06:50:11,921 - lightrag - INFO - get_node:query:MATCH (n:`THE CANDLE`) RETURN n:result:"The Candle is a source of light that Scrooge lights as he enters his home, symbolizing the struggle against darkness and isolation.""The Candle is a source of light that Scrooge lights as he enters his home, symbolizing the struggle against darkness and isolation.""The Candle is a source of light that Scrooge lights as he enters his home, symbolizing the struggle against darkness and isolation.""The Candle is a source of light that Scrooge lights as he enters his home, symbolizing the struggle against darkness and isolation.""The Candle represents a source of light in Scrooge\'s dark life, emphasizing the contrast between warmth and isolation."', 'source_id': 'chunk-d9aac3484185ac66045df92214d245d5chunk-9c43dac2fcd5b578242d907ea6f8fc7b'}> -2024-10-30 06:50:12,010 - lightrag - INFO - get_node:query:MATCH (n:`THE PEOPLE`) RETURN n:result:"The People refer to the townsfolk whom Scrooge encounters, showcasing the communal spirit of Christmas.""The People refer to the townsfolk whom Scrooge encounters, showcasing the communal spirit of Christmas.""The People refer to the townsfolk whom Scrooge encounters, showcasing the communal spirit of Christmas.""The People refer to the townsfolk whom Scrooge encounters, showcasing the communal spirit of Christmas.""The People refers to the inhabitants of the quarter, characterized by their desperate living conditions and societal challenges.""The People represent the townsfolk who come together in celebration during the Christmas season, highlighting communal joy and participation.""The People represent the various individuals Scrooge encounters during his joyful walk, symbolizing community and shared happiness.""The People refers to the inhabitants of the quarter, characterized by their desperate living conditions and societal challenges.""The People represent the townsfolk who come together in celebration during the Christmas season, highlighting communal joy and participation.""The People refers to the inhabitants of the quarter, characterized by their desperate living conditions and societal challenges.""The People represent the townsfolk who come together in celebration during the Christmas season, highlighting communal joy and participation.""The People refers to the inhabitants of the quarter, characterized by their desperate living conditions and societal challenges.""The People represent the townsfolk who come together in celebration during the Christmas season, highlighting communal joy and participation.""The People refers to the inhabitants of the quarter, characterized by their desperate living conditions and societal challenges.""The People represent the townsfolk who come together in celebration during the Christmas season, highlighting communal joy and participation."', 'source_id': 'chunk-f1a4fbcf1ed86864b9bfd5e8dba4c683chunk-8f738cb25d60a7dab782162d9d0a25edchunk-b0f459f5af1c3a5e0b92cbe4ee48b77b'}> -2024-10-30 06:50:12,100 - lightrag - INFO - get_node:query:MATCH (n:`ALI BABA`) RETURN n:result:"Ali Baba is a character from a story recalled by Scrooge, representing memories of adventure and kindness during Christmas.""Ali Baba is a character from a story recalled by Scrooge, representing memories of adventure and kindness during Christmas.""Ali Baba is a character from a story recalled by Scrooge, representing memories of adventure and kindness during Christmas.""Ali Baba is a character from a story recalled by Scrooge, representing memories of adventure and kindness during Christmas.""Ali Baba is mentioned as a character from a story that impacts Scrooge during his reflection on Christmas and childhood."', 'source_id': 'chunk-8590d9263cd2cd4fa583c432fc54e6c3'}> -2024-10-30 06:50:12,191 - lightrag - INFO - get_node:query:MATCH (n:`THE CRATCHIT FAMILY`) RETURN n:result:"The Cratchit Family consists of Bob, Mrs. Cratchit, Tiny Tim, and their children, characterized by their strong familial bonds and love for one another despite financial struggles.""The Cratchit Family consists of Bob, Mrs. Cratchit, Tiny Tim, and their children, characterized by their strong familial bonds and love for one another despite financial struggles.""The Cratchit Family consists of Bob, Mrs. Cratchit, Tiny Tim, and their children, characterized by their strong familial bonds and love for one another despite financial struggles.""The Cratchit Family consists of Bob, Mrs. Cratchit, Tiny Tim, and their children, characterized by their strong familial bonds and love for one another despite financial struggles.""The Cratchit Family consists of Bob, Mrs. Cratchit, and their children, highlighting themes of familial love and support amidst hardship.""The Cratchit Family is a close-knit family depicted in the text, characterized by love and warmth, celebrating Christmas together despite their difficulties.""The Cratchit Family represents a typical struggling family in the text, highlighting the theme of social disparity during Christmas.""The Cratchit Family is a close-knit family depicted in the text, characterized by love and warmth, celebrating Christmas together despite their difficulties.""The Cratchit Family represents a typical struggling family in the text, highlighting the theme of social disparity during Christmas.""The Cratchit Family is a close-knit family depicted in the text, characterized by love and warmth, celebrating Christmas together despite their difficulties.""The Cratchit Family represents a typical struggling family in the text, highlighting the theme of social disparity during Christmas.""The Cratchit Family is a close-knit family depicted in the text, characterized by love and warmth, celebrating Christmas together despite their difficulties.""The Cratchit Family represents a typical struggling family in the text, highlighting the theme of social disparity during Christmas.""The Cratchit Family is a close-knit family depicted in the text, characterized by love and warmth, celebrating Christmas together despite their difficulties.""The Cratchit Family represents a typical struggling family in the text, highlighting the theme of social disparity during Christmas."', 'source_id': 'chunk-503f0bfa5453467c7c61d160a3540ecachunk-90d5764e301321c087f5a8f78b73a145chunk-1d4b58de5429cd1261370c231c8673e8'}> -2024-10-30 06:50:12,279 - lightrag - INFO - get_node:query:MATCH (n:`THE BUSINESSMEN`) RETURN n:result: -2024-10-30 06:50:12,370 - lightrag - INFO - get_node:query:MATCH (n:`THE MANSION HOUSE`) RETURN n:result:"The Mansion House is the official residence of the Lord Mayor, where festive preparations for Christmas are being made.""The Mansion House is the official residence of the Lord Mayor, where festive preparations for Christmas are being made.""The Mansion House is the official residence of the Lord Mayor, where festive preparations for Christmas are being made.""The Mansion House is the official residence of the Lord Mayor, where festive preparations for Christmas are being made.""The Mansion House is the official residence of the Lord Mayor, where festive preparations for Christmas are being made."', 'source_id': 'chunk-90d5764e301321c087f5a8f78b73a145'}> -2024-10-30 06:50:12,458 - lightrag - INFO - get_node:query:MATCH (n:`THE OBSCURE PART OF TOWN`) RETURN n:result: -2024-10-30 06:50:12,547 - lightrag - INFO - get_node:query:MATCH (n:`SCROOGE'S NEPHEW`) RETURN n:result:"Scrooge\'s Nephew is a jovial character known for his infectious laughter and optimistic attitude towards Christmas, finding humor in Scrooge\'s ill temper and wealth.""Scrooge\'s Nephew is portrayed as warm-hearted and attempts to engage his uncle in the spirit of Christmas, despite Scrooge\'s rebuff.""Scrooge\'s nephew is portrayed as a joyful character who embodies laughter and good-humor, contrasting with Scrooge\'s initial persona."Scrooge\'s Nephew is a cheerful and optimistic character who embodies the spirit of Christmas, consistently challenging his uncle Scrooge\'s gloomy outlook on both Christmas and life. He is characterized by his contagious laughter and good humor, starkly contrasting with Scrooge\'s miserliness and pessimism. This jovial character actively participates in family gatherings, engaging in games and displaying a joyful demeanor. He finds humor in Scrooge\'s ill temper and wealth, often emphasizing the positive qualities of Christmas despite his uncle\'s negativity. Warm-hearted and determined, Scrooge\'s Nephew makes repeated attempts to involve Scrooge in the festive spirit, even in the face of his uncle\'s rebuffs. Overall, he represents a vibrant spirit of joy and laughter, serving as a lively counterpoint to Scrooge\'s initial persona.', 'source_id': 'chunk-43c9bee23adfa77aa9dedd22401bba7dchunk-5dac41b3f9eeaf794f0147400b1718cdchunk-74e2466de2f67fd710ef2f20c0a8d9e0chunk-91614df5cb74cbe5e109a338a82041e9chunk-773d0df1dd25c356f7b771d780583e09'}> -2024-10-30 06:50:12,635 - lightrag - INFO - get_node:query:MATCH (n:`MANKIND`) RETURN n:result:"Mankind is referenced as a significant concern that should have been the focus of Scrooge\'s life, highlighting the importance of universal compassion and care.""Mankind is referenced as a significant concern that should have been the focus of Scrooge\'s life, highlighting the importance of universal compassion and care.""Mankind is referenced as a significant concern that should have been the focus of Scrooge\'s life, highlighting the importance of universal compassion and care.""Mankind is referenced as a significant concern that should have been the focus of Scrooge\'s life, highlighting the importance of universal compassion and care.""Mankind signifies the broader human community, which Marley claims should be the focus of compassionate effort rather than mere business pursuits."', 'source_id': 'chunk-359187e7571bda4b0b08b2e0b6581e52'}> -2024-10-30 06:50:12,722 - lightrag - INFO - get_node:query:MATCH (n:`THE SITTING ROOM`) RETURN n:result: -2024-10-30 06:50:12,808 - lightrag - INFO - get_node:query:MATCH (n:`THE FAMILY`) RETURN n:result: -2024-10-30 06:50:12,897 - lightrag - INFO - get_node:query:MATCH (n:`THE WAREHOUSE`) RETURN n:result:"The Warehouse is the setting for Fezziwig\'s celebrations, transformed into a ballroom for the festivities.""The Warehouse is the place of business shared by Scrooge and Marley, a symbol of their partnership in life and business.""The Warehouse serves as the setting for Scrooge\'s memories of Fezziwig\'s jovial nature and the lively gatherings during his apprenticeship.""The Warehouse is the place of business shared by Scrooge and Marley, a symbol of their partnership in life and business.""The Warehouse serves as the setting for Scrooge\'s memories of Fezziwig\'s jovial nature and the lively gatherings during his apprenticeship.""The Warehouse is the place of business shared by Scrooge and Marley, a symbol of their partnership in life and business.""The Warehouse serves as the setting for Scrooge\'s memories of Fezziwig\'s jovial nature and the lively gatherings during his apprenticeship.""The Warehouse is the place of business shared by Scrooge and Marley, a symbol of their partnership in life and business.""The Warehouse serves as the setting for Scrooge\'s memories of Fezziwig\'s jovial nature and the lively gatherings during his apprenticeship.""The Warehouse is the place of business shared by Scrooge and Marley, a symbol of their partnership in life and business.""The Warehouse serves as the setting for Scrooge\'s memories of Fezziwig\'s jovial nature and the lively gatherings during his apprenticeship."', 'source_id': 'chunk-c6c248858d1b13ab7ee9ca13c1aeed6bchunk-8bc1edd983869352d14cf0886a9175a7chunk-89777b838d5447c7bd1ec11282c4ee89'}> -2024-10-30 06:50:12,986 - lightrag - INFO - get_node:query:MATCH (n:`THE MOURNING DRESS`) RETURN n:result: -2024-10-30 06:50:13,072 - lightrag - INFO - get_node:query:MATCH (n:`CHESTNUTS`) RETURN n:result: -2024-10-30 06:50:13,160 - lightrag - INFO - get_node:query:MATCH (n:`THE BOY`) RETURN n:result:"The Boy is a young messenger who interacts with Scrooge during his purchase of the turkey.""The Boy represents innocence and curiosity, serving as a catalyst for Scrooge\'s generous act by purchasing the turkey.""The Boy represents innocence and curiosity, serving as a catalyst for Scrooge\'s generous act by purchasing the turkey.""The Boy represents innocence and curiosity, serving as a catalyst for Scrooge\'s generous act by purchasing the turkey.""The Boy represents innocence and curiosity, serving as a catalyst for Scrooge\'s generous act by purchasing the turkey.""The Boy represents innocence and curiosity, serving as a catalyst for Scrooge\'s generous act by purchasing the turkey."', 'source_id': 'chunk-8f738cb25d60a7dab782162d9d0a25edchunk-8bc1edd983869352d14cf0886a9175a7chunk-90b95db5c53e4364a6bee36b7aa4d70f'}> -2024-10-30 06:50:13,248 - lightrag - INFO - get_node:query:MATCH (n:`THE CORPSE`) RETURN n:result: -2024-10-30 06:50:13,337 - lightrag - INFO - get_node:query:MATCH (n:`GHOST`) RETURN n:result:"The Ghost refers to the spirit guiding Scrooge, embodying the themes of memory and reflection on the joys of Christmas.""The Ghost represents a spiritual guide that takes Scrooge on a journey to learn important lessons about compassion and humanity.""The Ghost serves as a supernatural guide for Scrooge, prompting him to reflect on his life and choices.""The Ghost is the spirit of Jacob Marley, who expresses remorse for his life and warns Scrooge about the consequences of ignoring his moral duties.""The Ghost is the spirit of Jacob Marley, who expresses remorse for his life and warns Scrooge about the consequences of ignoring his moral duties.""The Ghost is the spirit of Jacob Marley, who expresses remorse for his life and warns Scrooge about the consequences of ignoring his moral duties.""The Ghost is the spirit of Jacob Marley, who expresses remorse for his life and warns Scrooge about the consequences of ignoring his moral duties.""The Ghost is the spirit of Jacob Marley, who expresses remorse for his life and warns Scrooge about the consequences of ignoring his moral duties."', 'source_id': 'chunk-43c9bee23adfa77aa9dedd22401bba7dchunk-e7637ff18c5ded77a68cce0a87883fadchunk-359187e7571bda4b0b08b2e0b6581e52chunk-c6c248858d1b13ab7ee9ca13c1aeed6bchunk-503f0bfa5453467c7c61d160a3540eca'}> -2024-10-30 06:50:13,423 - lightrag - INFO - get_node:query:MATCH (n:`THE BEAUTIFUL YOUNG GIRL`) RETURN n:result: -2024-10-30 06:50:13,511 - lightrag - INFO - get_node:query:MATCH (n:`THE DAUGHTER`) RETURN n:result: -2024-10-30 06:50:13,600 - lightrag - INFO - get_node:query:MATCH (n:`THE DARKNESS`) RETURN n:result:"The Darkness symbolizes the confusion and the unknown that envelops Scrooge as he faces the reality of his past, present, and future.""The Darkness symbolizes the confusion and the unknown that envelops Scrooge as he faces the reality of his past, present, and future.""The Darkness symbolizes the confusion and the unknown that envelops Scrooge as he faces the reality of his past, present, and future.""The Darkness symbolizes the confusion and the unknown that envelops Scrooge as he faces the reality of his past, present, and future.""The Darkness symbolizes the confusion and the unknown that envelops Scrooge as he faces the reality of his past, present, and future."', 'source_id': 'chunk-cb661c37436355ccec2769b1d0350c5f'}> -2024-10-30 06:50:13,686 - lightrag - INFO - get_node:query:MATCH (n:`ROBIN CRUSOE`) RETURN n:result:"Robin Crusoe is a character from literature that Scrooge remembers fondly, illustrating his connection to stories of adventure and survival.""Robin Crusoe is a character from literature that Scrooge remembers fondly, illustrating his connection to stories of adventure and survival.""Robin Crusoe is a character from literature that Scrooge remembers fondly, illustrating his connection to stories of adventure and survival.""Robin Crusoe is a character from literature that Scrooge remembers fondly, illustrating his connection to stories of adventure and survival.""Robin Crusoe is a character referenced by Scrooge as part of his memories, signifying tales of adventure and nostalgia."', 'source_id': 'chunk-8590d9263cd2cd4fa583c432fc54e6c3'}> -2024-10-30 06:50:13,773 - lightrag - INFO - get_node:query:MATCH (n:`SPANISH ONIONS`) RETURN n:result: -2024-10-30 06:50:13,870 - lightrag - INFO - get_node:query:MATCH (n:`POOR AND DESTITUTE`) RETURN n:result: -2024-10-30 06:50:13,958 - lightrag - INFO - get_node:query:MATCH (n:`CHRISTMAS HOLIDAYS`) RETURN n:result:"Christmas Holidays signify a time for celebration, reflection, and reconciliation, playing a critical role in Scrooge\'s transformation.""Christmas Holidays signify a time for celebration, reflection, and reconciliation, playing a critical role in Scrooge\'s transformation.""Christmas Holidays signify a time for celebration, reflection, and reconciliation, playing a critical role in Scrooge\'s transformation.""Christmas Holidays signify a time for celebration, reflection, and reconciliation, playing a critical role in Scrooge\'s transformation.""The Christmas Holidays serve as a crucial backdrop for the narrative, representing themes of generosity, family, and redemption."', 'source_id': 'chunk-e7637ff18c5ded77a68cce0a87883fad'}> -2024-10-30 06:50:14,043 - lightrag - INFO - get_node:query:MATCH (n:`CHRISTMAS PUDDING`) RETURN n:result:"Christmas Pudding is a dish being prepared for the festive celebration, embodying the spirit of Christmas and family gatherings.""Christmas Pudding is a dish being prepared for the festive celebration, embodying the spirit of Christmas and family gatherings.""Christmas Pudding is a dish being prepared for the festive celebration, embodying the spirit of Christmas and family gatherings.""Christmas Pudding is a dish being prepared for the festive celebration, embodying the spirit of Christmas and family gatherings.""The Christmas Pudding is a significant dish prepared by Mrs. Cratchit, symbolizing the family\'s festive celebration and unity."', 'source_id': 'chunk-503f0bfa5453467c7c61d160a3540ecachunk-90d5764e301321c087f5a8f78b73a145'}> -2024-10-30 06:50:14,134 - lightrag - INFO - get_node:query:MATCH (n:`HOSPITAL`) RETURN n:result:"Hospital signifies a place of healing and care, visited by the Spirit in the story.""Hospital signifies a place of healing and care, visited by the Spirit in the story.""Hospital signifies a place of healing and care, visited by the Spirit in the story.""Hospital signifies a place of healing and care, visited by the Spirit in the story.""The Hospital represents a location of care and compassion, highlighting the human condition and the need for kindness."', 'source_id': 'chunk-e7637ff18c5ded77a68cce0a87883fad'}> -2024-10-30 06:50:14,224 - lightrag - INFO - get_node:query:MATCH (n:`MASTER PETER`) RETURN n:result: -2024-10-30 06:50:14,313 - lightrag - INFO - get_node:query:MATCH (n:`THE BED`) RETURN n:result:"The Bed represents a significant scene where the deceased man\'s body is laid, evoking deep emotions and realizations about life and morality.""The Bed represents a significant scene where the deceased man\'s body is laid, evoking deep emotions and realizations about life and morality.""The Bed represents a significant scene where the deceased man\'s body is laid, evoking deep emotions and realizations about life and morality.""The Bed represents a significant scene where the deceased man\'s body is laid, evoking deep emotions and realizations about life and morality.""The Bed represents a significant scene where the deceased man\'s body is laid, evoking deep emotions and realizations about life and morality."', 'source_id': 'chunk-e1f29eeadc1d8ab46dc8a0bbd3c56b64'}> -2024-10-30 06:50:14,398 - lightrag - INFO - get_node:query:MATCH (n:`CAMDEN TOWN`) RETURN n:result:"Camden Town is a location mentioned as Bob Cratchit\'s home, highlighting the setting of his personal life.""Camden Town is a location mentioned as Bob Cratchit\'s home, highlighting the setting of his personal life.""Camden Town is a location mentioned as Bob Cratchit\'s home, highlighting the setting of his personal life.""Camden Town is a location mentioned as Bob Cratchit\'s home, highlighting the setting of his personal life.""Camden Town is a location mentioned in relation to the logistics of transporting a large turkey.""Camden Town is a location where Bob Cratchit runs home to celebrate Christmas Eve, representing a more joyful and lively setting.""Camden Town is mentioned as a location related to the transportation of a turkey in a humorous context during the holiday season.""Camden Town is mentioned as a location related to the transportation of a turkey in a humorous context during the holiday season.""Camden Town is mentioned as a location related to the transportation of a turkey in a humorous context during the holiday season.""Camden Town is mentioned as a location related to the transportation of a turkey in a humorous context during the holiday season.""Camden Town is mentioned as a location related to the transportation of a turkey in a humorous context during the holiday season."', 'source_id': 'chunk-d9aac3484185ac66045df92214d245d5chunk-8f738cb25d60a7dab782162d9d0a25ed'}> -2024-10-30 06:50:14,488 - lightrag - INFO - get_node:query:MATCH (n:`ALMSHOUSE`) RETURN n:result: -2024-10-30 06:50:14,579 - lightrag - INFO - get_node:query:MATCH (n:`DEATH`) RETURN n:result:"Death is described as a powerful force in the narrative, represented through the imagery of a cold, rigid presence and the contemplation of mortality.""Death refers to the passing of a character that triggers a range of emotions and reflections among the living, influencing their lives and relationships.""Death is depicted as a cold, inevitable force, prompting reflections on the value of life and the consequences of avarice.""Death is depicted as a cold, inevitable force, prompting reflections on the value of life and the consequences of avarice.""Death is depicted as a cold, inevitable force, prompting reflections on the value of life and the consequences of avarice.""Death is depicted as a cold, inevitable force, prompting reflections on the value of life and the consequences of avarice.""Death is depicted as a cold, inevitable force, prompting reflections on the value of life and the consequences of avarice."', 'source_id': 'chunk-e1f29eeadc1d8ab46dc8a0bbd3c56b64chunk-83ac129dc9b56f84c46760d153d68e93chunk-02baee20cc9463dbe08170a8e1043e32'}> -2024-10-30 06:50:14,667 - lightrag - INFO - get_node:query:MATCH (n:`THE GRAVE`) RETURN n:result: -2024-10-30 06:50:14,759 - lightrag - INFO - get_node:query:MATCH (n:`LONDON`) RETURN n:result:"London is the city where the narrative takes place, representing a central location in the story.""London is the city where the narrative takes place, representing a central location in the story.""London is the city where the narrative takes place, representing a central location in the story.""London is the city where the narrative takes place, representing a central location in the story.""London serves as the general setting for the story, although its specific mention relates to an animal in the context of a game.""London serves as the geographical setting for the story, encapsulating the harsh winter atmosphere and the life of its inhabitants during the festive season.""London serves as the setting where the events take place, adding a cultural backdrop to the Christmas gathering.""London serves as the setting for the story, highlighting the bustling yet isolating environment in which Scrooge lives.""London serves as the general setting for the story, although its specific mention relates to an animal in the context of a game.""London serves as the setting for the story, highlighting the bustling yet isolating environment in which Scrooge lives.""London serves as the general setting for the story, although its specific mention relates to an animal in the context of a game.""London serves as the setting for the story, highlighting the bustling yet isolating environment in which Scrooge lives.""London serves as the general setting for the story, although its specific mention relates to an animal in the context of a game.""London serves as the setting for the story, highlighting the bustling yet isolating environment in which Scrooge lives.""London serves as the general setting for the story, although its specific mention relates to an animal in the context of a game.""London serves as the setting for the story, highlighting the bustling yet isolating environment in which Scrooge lives."', 'source_id': 'chunk-d9aac3484185ac66045df92214d245d5chunk-43c9bee23adfa77aa9dedd22401bba7dchunk-e7637ff18c5ded77a68cce0a87883fad'}> -2024-10-30 06:50:14,846 - lightrag - INFO - get_node:query:MATCH (n:`CRATCHIT CHRISTMAS DINNER`) RETURN n:result: -2024-10-30 06:50:14,935 - lightrag - INFO - get_node:query:MATCH (n:`THE GATHERING`) RETURN n:result: -2024-10-30 06:50:15,026 - lightrag - INFO - get_node:query:MATCH (n:`MARTHA CRATCHIT`) RETURN n:result:"Martha is another daughter of Bob and Mrs. Cratchit, who, like her sister Belinda, symbolizes the warmth and togetherness in the Cratchit household.""Martha Cratchit is a daughter of Bob and Mrs. Cratchit, working as an apprentice at a milliner\'s and looking forward to the holiday for a good rest.""Martha is another daughter of Bob and Mrs. Cratchit, who shows love and care for her family.""Martha Cratchit is a daughter of Bob and Mrs. Cratchit, working as an apprentice at a milliner\'s and looking forward to the holiday for a good rest.""Martha is another daughter of Bob and Mrs. Cratchit, who shows love and care for her family.""Martha Cratchit is a daughter of Bob and Mrs. Cratchit, working as an apprentice at a milliner\'s and looking forward to the holiday for a good rest.""Martha is another daughter of Bob and Mrs. Cratchit, who shows love and care for her family.""Martha Cratchit is a daughter of Bob and Mrs. Cratchit, working as an apprentice at a milliner\'s and looking forward to the holiday for a good rest.""Martha is another daughter of Bob and Mrs. Cratchit, who shows love and care for her family.""Martha Cratchit is a daughter of Bob and Mrs. Cratchit, working as an apprentice at a milliner\'s and looking forward to the holiday for a good rest.""Martha is another daughter of Bob and Mrs. Cratchit, who shows love and care for her family."', 'source_id': 'chunk-19d72c57ae3408758b18d2568e86dc6bchunk-7e2e7ebcc19a53b399dc03aded4743e7chunk-9e3921da66da5d761ab73cd849af6c43'}> -2024-10-30 06:50:15,113 - lightrag - INFO - get_node:query:MATCH (n:`THE COUNTING-HOUSE CLERK`) RETURN n:result: -2024-10-30 06:50:15,200 - lightrag - INFO - get_node:query:MATCH (n:`GEESE`) RETURN n:result:"Geese are also traditional food items that may be included in Christmas feasts, adding to the holiday cheer.""Geese are also traditional food items that may be included in Christmas feasts, adding to the holiday cheer.""Geese are also traditional food items that may be included in Christmas feasts, adding to the holiday cheer.""Geese are also traditional food items that may be included in Christmas feasts, adding to the holiday cheer.""Geese are another traditional food item during Christmas, contributing to the festive dining experiences.""Geese are included in the festive feast, representing the bounty and celebration associated with Christmas."', 'source_id': 'chunk-99b0ec7f7e006561352b5d65e849611dchunk-843b5b2f944c7413d9ca876e2e2f151f'}> -2024-10-30 06:50:15,291 - lightrag - INFO - get_node:query:MATCH (n:`ORSON`) RETURN n:result:"Orson, the wild brother of Valentine, is another figure from Scrooge\'s past, representing familial connections and memories.""Orson, the wild brother of Valentine, is another figure from Scrooge\'s past, representing familial connections and memories.""Orson, the wild brother of Valentine, is another figure from Scrooge\'s past, representing familial connections and memories.""Orson, the wild brother of Valentine, is another figure from Scrooge\'s past, representing familial connections and memories.""Orson, the wild brother of Valentine, is another figure from Scrooge\'s past, representing familial connections and memories."', 'source_id': 'chunk-8590d9263cd2cd4fa583c432fc54e6c3'}> -2024-10-30 06:50:15,378 - lightrag - INFO - get_node:query:MATCH (n:`THE GENTLEMAN`) RETURN n:result:"The Gentleman is a character attempting to persuade Scrooge to contribute to charity for the poor during Christmas.""The Gentleman is a character attempting to persuade Scrooge to contribute to charity for the poor during Christmas.""The Gentleman is a character attempting to persuade Scrooge to contribute to charity for the poor during Christmas.""The Gentleman is a character attempting to persuade Scrooge to contribute to charity for the poor during Christmas.""The Gentleman is a character who advocates for helping the poor and trying to raise a fund for those in need during Christmas."', 'source_id': 'chunk-90d5764e301321c087f5a8f78b73a145'}> -2024-10-30 06:50:15,466 - lightrag - INFO - get_node:query:MATCH (n:`THE DYING FLAME`) RETURN n:result:"The Dying Flame represents the fear and uncertainty in Scrooge as it reacts to the presence of Marley’s Ghost, adding to the eerie atmosphere.""The Dying Flame represents the fear and uncertainty in Scrooge as it reacts to the presence of Marley’s Ghost, adding to the eerie atmosphere.""The Dying Flame represents the fear and uncertainty in Scrooge as it reacts to the presence of Marley’s Ghost, adding to the eerie atmosphere.""The Dying Flame represents the fear and uncertainty in Scrooge as it reacts to the presence of Marley’s Ghost, adding to the eerie atmosphere.""The Dying Flame signifies the waning spirit of Scrooge, momentarily invigorated by the arrival of the ghost as a metaphor for his fading humanity.""The Dying Flame signifies the waning spirit of Scrooge, momentarily invigorated by the arrival of the ghost as a metaphor for his fading humanity.""The Dying Flame signifies the waning spirit of Scrooge, momentarily invigorated by the arrival of the ghost as a metaphor for his fading humanity.""The Dying Flame signifies the waning spirit of Scrooge, momentarily invigorated by the arrival of the ghost as a metaphor for his fading humanity.""The Dying Flame signifies the waning spirit of Scrooge, momentarily invigorated by the arrival of the ghost as a metaphor for his fading humanity."', 'source_id': 'chunk-9c43dac2fcd5b578242d907ea6f8fc7bchunk-1aa50206d02ed89418f65f97c6441d1c'}> -2024-10-30 06:50:15,553 - lightrag - INFO - get_node:query:MATCH (n:`THE DINNER`) RETURN n:result:"The Dinner is a festive event where the Cratchit family gathers to enjoy a meal, including a special goose and pudding, symbolizing their togetherness.""The Dinner is a festive event where the Cratchit family gathers to enjoy a meal, including a special goose and pudding, symbolizing their togetherness.""The Dinner is a festive event where the Cratchit family gathers to enjoy a meal, including a special goose and pudding, symbolizing their togetherness.""The Dinner is a festive event where the Cratchit family gathers to enjoy a meal, including a special goose and pudding, symbolizing their togetherness.""The Dinner is a social event characterized by laughter, music, and discussions about Scrooge, portraying a festive Christmas gathering."', 'source_id': 'chunk-503f0bfa5453467c7c61d160a3540ecachunk-773d0df1dd25c356f7b771d780583e09'}> -2024-10-30 06:50:15,642 - lightrag - INFO - get_node:query:MATCH (n:`THE FUNERAL`) RETURN n:result:"The Funeral is a context for conversation among characters, reflecting on mortality and social connections surrounding death.""The Funeral is a context for conversation among characters, reflecting on mortality and social connections surrounding death.""The Funeral is a context for conversation among characters, reflecting on mortality and social connections surrounding death.""The Funeral is a context for conversation among characters, reflecting on mortality and social connections surrounding death.""The Funeral of Marley is a significant event that highlights Scrooge\'s relationship with Marley and sets the tone for their partnership and Scrooge\'s eventual path.""The Funeral serves as a significant event reflecting on Marley\'s death, noted for its business-like atmosphere as perceived by Scrooge.""The Funeral of Marley is a significant event that highlights Scrooge\'s relationship with Marley and sets the tone for their partnership and Scrooge\'s eventual path.""The Funeral of Marley is a significant event that highlights Scrooge\'s relationship with Marley and sets the tone for their partnership and Scrooge\'s eventual path.""The Funeral of Marley is a significant event that highlights Scrooge\'s relationship with Marley and sets the tone for their partnership and Scrooge\'s eventual path.""The Funeral of Marley is a significant event that highlights Scrooge\'s relationship with Marley and sets the tone for their partnership and Scrooge\'s eventual path."', 'source_id': 'chunk-f1a4fbcf1ed86864b9bfd5e8dba4c683chunk-89777b838d5447c7bd1ec11282c4ee89'}> -2024-10-30 06:50:15,729 - lightrag - INFO - get_node:query:MATCH (n:`THE BLANKETS`) RETURN n:result:"The Blankets are associated with the deceased man\'s body, symbolizing care and the human connection to the dead.""The Blankets are associated with the deceased man\'s body, symbolizing care and the human connection to the dead.""The Blankets are associated with the deceased man\'s body, symbolizing care and the human connection to the dead.""The Blankets are associated with the deceased man\'s body, symbolizing care and the human connection to the dead.""The Blankets are discussed in the context of the deceased\'s possessions, highlighting themes of care and abandonment after death."', 'source_id': 'chunk-e1f29eeadc1d8ab46dc8a0bbd3c56b64'}> -2024-10-30 06:50:15,815 - lightrag - INFO - get_node:query:MATCH (n:`THE GHOST OF CHRISTMAS YET TO COME`) RETURN n:result:"The Ghost of Christmas Yet to Come is a spirit that shows Scrooge the consequences of his actions, pointing toward his eventual demise.""The Ghost of Christmas Yet to Come reveals the potential consequences of Scrooge\'s current life choices, emphasizing themes of mortality and legacy.""The Ghost of Christmas Yet to Come is a spirit that shows Scrooge the consequences of his actions, pointing toward his eventual demise.""The Ghost of Christmas Yet to Come reveals the potential consequences of Scrooge\'s current life choices, emphasizing themes of mortality and legacy.""The Ghost of Christmas Yet to Come is a spirit that shows Scrooge the consequences of his actions, pointing toward his eventual demise.""The Ghost of Christmas Yet to Come reveals the potential consequences of Scrooge\'s current life choices, emphasizing themes of mortality and legacy.""The Ghost of Christmas Yet to Come is a spirit that shows Scrooge the consequences of his actions, pointing toward his eventual demise.""The Ghost of Christmas Yet to Come reveals the potential consequences of Scrooge\'s current life choices, emphasizing themes of mortality and legacy.""The Ghost of Christmas Yet to Come is a spirit that shows Scrooge the consequences of his actions, pointing toward his eventual demise.""The Ghost of Christmas Yet to Come reveals the potential consequences of Scrooge\'s current life choices, emphasizing themes of mortality and legacy."', 'source_id': 'chunk-91572b3cd42786ba4cb2f180ca25cbf4chunk-90b95db5c53e4364a6bee36b7aa4d70f'}> -2024-10-30 06:50:15,905 - lightrag - INFO - get_node:query:MATCH (n:`MARLEY'S GHOST`) RETURN n:result:chunk-9c43dac2fcd5b578242d907ea6f8fc7bchunk-cb661c37436355ccec2769b1d0350c5fchunk-1aa50206d02ed89418f65f97c6441d1c'}> -2024-10-30 06:50:15,991 - lightrag - INFO - get_node:query:MATCH (n:`THE DECEASED`) RETURN n:result: -2024-10-30 06:50:16,078 - lightrag - INFO - get_node:query:MATCH (n:`THE FIRE`) RETURN n:result:"The Fire represents warmth and comfort in the Cratchit household, inviting family members to gather around during their Christmas celebration.""The Fire represents warmth and comfort in the Cratchit household, inviting family members to gather around during their Christmas celebration.""The Fire represents warmth and comfort in the Cratchit household, inviting family members to gather around during their Christmas celebration.""The Fire represents warmth and comfort in the Cratchit household, inviting family members to gather around during their Christmas celebration.""The Fire represents warmth and comfort in the Cratchit household, inviting family members to gather around during their Christmas celebration."', 'source_id': 'chunk-773d0df1dd25c356f7b771d780583e09chunk-7e2e7ebcc19a53b399dc03aded4743e7'}> -2024-10-30 06:50:16,170 - lightrag - INFO - get_node:query:MATCH (n:`MISTLETOE`) RETURN n:result:"Mistletoe is a plant used as a Christmas decoration, symbolizing love and goodwill during the holiday season.""Mistletoe is a plant used as a Christmas decoration, symbolizing love and goodwill during the holiday season.""Mistletoe is a plant used as a Christmas decoration, symbolizing love and goodwill during the holiday season.""Mistletoe is a plant used as a Christmas decoration, symbolizing love and goodwill during the holiday season.""Mistletoe is a traditional plant used for decoration during Christmas, symbolizing joy and a festive spirit.""Mistletoe is described in the context of Christmas decorations, often used for kissing and holiday celebrations.""Mistletoe is described in the context of Christmas decorations, often used for kissing and holiday celebrations.""Mistletoe is described in the context of Christmas decorations, often used for kissing and holiday celebrations.""Mistletoe is described in the context of Christmas decorations, often used for kissing and holiday celebrations.""Mistletoe is described in the context of Christmas decorations, often used for kissing and holiday celebrations."', 'source_id': 'chunk-99b0ec7f7e006561352b5d65e849611dchunk-843b5b2f944c7413d9ca876e2e2f151f'}> -2024-10-30 06:50:16,258 - lightrag - INFO - get_node:query:MATCH (n:`THE SPIRIT`) RETURN n:result:chunk-b0f459f5af1c3a5e0b92cbe4ee48b77bchunk-da2472b4ef2a535b62908f14d0fb0ca9chunk-e1f29eeadc1d8ab46dc8a0bbd3c56b64chunk-19d72c57ae3408758b18d2568e86dc6bchunk-503f0bfa5453467c7c61d160a3540ecachunk-91614df5cb74cbe5e109a338a82041e9chunk-91572b3cd42786ba4cb2f180ca25cbf4chunk-f1a4fbcf1ed86864b9bfd5e8dba4c683chunk-8590d9263cd2cd4fa583c432fc54e6c3chunk-b2f98bc7abb0c67d4c86055c7fd72218chunk-bb21d58d36c6306fd8810ddd51c4a971'}> -2024-10-30 06:50:16,352 - lightrag - INFO - get_node:query:MATCH (n:`THE PRIME OF LIFE`) RETURN n:result: -2024-10-30 06:50:16,440 - lightrag - INFO - get_node:query:MATCH (n:`OLD SCRATCH`) RETURN n:result:"Old Scratch is a colloquial term used in reference to the devil, indicating a grim context in discussions about death.""Old Scratch is a colloquial term used in reference to the devil, indicating a grim context in discussions about death.""Old Scratch is a colloquial term used in reference to the devil, indicating a grim context in discussions about death.""Old Scratch is a colloquial term used in reference to the devil, indicating a grim context in discussions about death.""Old Scratch is mentioned as a figure related to the conversation, symbolizing mischief and humor."', 'source_id': 'chunk-f1a4fbcf1ed86864b9bfd5e8dba4c683chunk-89777b838d5447c7bd1ec11282c4ee89'}> -2024-10-30 06:50:16,525 - lightrag - INFO - get_node:query:MATCH (n:`WINDING RIVER`) RETURN n:result: -2024-10-30 06:50:16,613 - lightrag - INFO - get_node:query:MATCH (n:`MR. MARLEY`) RETURN n:result: -2024-10-30 06:50:16,697 - lightrag - INFO - get_node:query:MATCH (n:`MR. SCROOGE'S NEPHEW`) RETURN n:result:"Mr. Scrooge\'s Nephew is a kind gentleman who expresses sympathy for Bob Cratchit and offers help, reflecting goodwill.""Mr. Scrooge\'s Nephew is a kind gentleman who expresses sympathy for Bob Cratchit and offers help, reflecting goodwill.""Mr. Scrooge\'s Nephew is a kind gentleman who expresses sympathy for Bob Cratchit and offers help, reflecting goodwill.""Mr. Scrooge\'s Nephew is a kind gentleman who expresses sympathy for Bob Cratchit and offers help, reflecting goodwill.""Mr. Scrooge\'s Nephew is a kind gentleman who shows concern for Bob Cratchit and offers support, symbolizing generosity and compassion."', 'source_id': 'chunk-1d4b58de5429cd1261370c231c8673e8'}> -2024-10-30 06:50:16,784 - lightrag - INFO - get_node:query:MATCH (n:`THE YOUNG CRATCHITS`) RETURN n:result: -2024-10-30 06:50:16,872 - lightrag - INFO - get_node:query:MATCH (n:`MARLEY'S FUNERAL`) RETURN n:result: -2024-10-30 06:50:16,960 - lightrag - INFO - get_node:query:MATCH (n:`THE SPIRITS`) RETURN n:result:"The Spirits represent the past, present, and future in Scrooge\'s life, guiding him toward redemption and self-reflection.""The Spirits represent the forces that guide Scrooge towards his transformation and are instrumental in his journey of redemption.""The Spirits represent the forces that guide Scrooge towards his transformation and are instrumental in his journey of redemption.""The Spirits represent the forces that guide Scrooge towards his transformation and are instrumental in his journey of redemption.""The Spirits represent the forces that guide Scrooge towards his transformation and are instrumental in his journey of redemption.""The Spirits represent the forces that guide Scrooge towards his transformation and are instrumental in his journey of redemption."', 'source_id': 'chunk-cb661c37436355ccec2769b1d0350c5fchunk-90b95db5c53e4364a6bee36b7aa4d70f'}> -2024-10-30 06:50:17,050 - lightrag - INFO - get_node:query:MATCH (n:`THE CASK`) RETURN n:result:"The Cask is part of the sounds emerging from the cellar, contributing to the eerie atmosphere surrounding Marley’s Ghost.""The Cask is part of the sounds emerging from the cellar, contributing to the eerie atmosphere surrounding Marley’s Ghost.""The Cask is part of the sounds emerging from the cellar, contributing to the eerie atmosphere surrounding Marley’s Ghost.""The Cask is part of the sounds emerging from the cellar, contributing to the eerie atmosphere surrounding Marley’s Ghost.""The Cask is part of the sounds emerging from the cellar, contributing to the eerie atmosphere surrounding Marley’s Ghost."', 'source_id': 'chunk-9c43dac2fcd5b578242d907ea6f8fc7b'}> -2024-10-30 06:50:17,136 - lightrag - INFO - get_node:query:MATCH (n:`THE PAST`) RETURN n:result:"The Past reflects on Scrooge\'s earlier life choices and experiences that shaped who he has become.""The Past reflects on Scrooge\'s earlier life choices and experiences that shaped who he has become.""The Past reflects on Scrooge\'s earlier life choices and experiences that shaped who he has become.""The Past reflects on Scrooge\'s earlier life choices and experiences that shaped who he has become.""The Past reflects on Scrooge\'s earlier life choices and experiences that shaped who he has become."', 'source_id': 'chunk-91572b3cd42786ba4cb2f180ca25cbf4'}> -2024-10-30 06:50:17,222 - lightrag - INFO - get_node:query:MATCH (n:`CITY`) RETURN n:result:"The City represents the urban setting where Scrooge witnesses the indifference of its inhabitants regarding his death.""The City represents the urban setting where Scrooge\'s transformation takes place, symbolizing the broader society impacted by his changes.""The City serves as a backdrop where various scenes unfold, representing the hustle of life and economic concerns.""The City symbolizes the urban setting where Scrooge\'s transformation takes place, primarily depicting the contrast between Scrooge\'s isolation and the outer world filled with festivities.""The City serves as a backdrop where various scenes unfold, representing the hustle of life and economic concerns.""The City symbolizes the urban setting where Scrooge\'s transformation takes place, primarily depicting the contrast between Scrooge\'s isolation and the outer world filled with festivities.""The City serves as a backdrop where various scenes unfold, representing the hustle of life and economic concerns.""The City symbolizes the urban setting where Scrooge\'s transformation takes place, primarily depicting the contrast between Scrooge\'s isolation and the outer world filled with festivities.""The City serves as a backdrop where various scenes unfold, representing the hustle of life and economic concerns.""The City symbolizes the urban setting where Scrooge\'s transformation takes place, primarily depicting the contrast between Scrooge\'s isolation and the outer world filled with festivities.""The City serves as a backdrop where various scenes unfold, representing the hustle of life and economic concerns.""The City symbolizes the urban setting where Scrooge\'s transformation takes place, primarily depicting the contrast between Scrooge\'s isolation and the outer world filled with festivities."', 'source_id': 'chunk-02baee20cc9463dbe08170a8e1043e32chunk-843b5b2f944c7413d9ca876e2e2f151fchunk-94bea83e7153fc2064aa382b494936a1'}> -2024-10-30 06:50:17,309 - lightrag - INFO - get_node:query:MATCH (n:`WEALTH`) RETURN n:result: -2024-10-30 06:50:17,396 - lightrag - INFO - get_node:query:MATCH (n:`THE MAIN STREET`) RETURN n:result: -2024-10-30 06:50:17,480 - lightrag - INFO - get_node:query:MATCH (n:`THE GIRL`) RETURN n:result:"The Girl is referenced in relation to The Boy, highlighting the dynamics of the young attendees at the Fezziwig\'s celebrations."', 'source_id': 'chunk-8f738cb25d60a7dab782162d9d0a25edchunk-8bc1edd983869352d14cf0886a9175a7'}> -2024-10-30 06:50:17,570 - lightrag - INFO - get_node:query:MATCH (n:`CHRISTMAS FEAST`) RETURN n:result: -2024-10-30 06:50:17,659 - lightrag - INFO - get_node:query:MATCH (n:`JACOB MARLEY`) RETURN n:result:"Jacob Marley is Scrooge\'s deceased partner, who appears in spirit to influence Scrooge\'s journey towards redemption.""Jacob Marley is a spirit who influences Scrooge\'s change of heart, representing a connection to Scrooge\'s past and the theme of redemption.""Jacob Marley is the deceased business partner of Scrooge, whose ghost visits him to convey a message about the importance of charity and kindness.""Jacob Marley is the deceased partner of Scrooge who shows concern for Scrooge\'s fate and the importance of change in his life.""Jacob Marley is the ghost of Scrooge\'s former business partner, who foretells the consequences of Scrooge\'s selfishness and warns him to change his ways.""Jacob Marley is the ghost of Scrooge\'s former partner, who appears to warn Scrooge about his fate and the need for change in his life."Jacob Marley is Scrooge\'s deceased business partner, who appears as a ghost, prominently wearing chains that symbolize the burdens of his past misdeeds and the weight of his regrets. As a spirit, Marley plays a pivotal role in influencing Ebenezer Scrooge\'s journey toward redemption. He visits Scrooge to convey significant messages about the dire consequences of a life devoid of compassion and the critical importance of charity and kindness.\n\nMarley\'s haunting presence serves as a warning to Scrooge about his impending fate if he continues on his selfish and isolated path. He is depicted as showing genuine concern for Scrooge\'s welfare and the necessity for transformative change in his life. Through his visitation, Marley acts as a catalyst, compelling Scrooge to reflect on his past actions and their impact on others. His connection to Scrooge\'s history reinforces the themes of redemption and personal responsibility, emphasizing the potential for transformation and renewal in the face of prior wrongdoings. Ultimately, Jacob Marley\'s spirit not only acts as a reminder of the consequences of one\'s choices but also highlights the possibility of change and growth through self-awareness and connection to humanity.', 'source_id': 'chunk-90b95db5c53e4364a6bee36b7aa4d70fchunk-359187e7571bda4b0b08b2e0b6581e52chunk-da2472b4ef2a535b62908f14d0fb0ca9chunk-02baee20cc9463dbe08170a8e1043e32chunk-1aa50206d02ed89418f65f97c6441d1cchunk-91572b3cd42786ba4cb2f180ca25cbf4chunk-cb661c37436355ccec2769b1d0350c5f'}> -2024-10-30 06:50:17,747 - lightrag - INFO - get_node:query:MATCH (n:`FRENCH PLUMS`) RETURN n:result: -2024-10-30 06:50:17,834 - lightrag - INFO - get_node:query:MATCH (n:`MR. FEZZIWIG`) RETURN n:result:"Mr. Fezziwig is a kind-hearted merchant and former employer of Scrooge, representing joy and generosity in contrast to Scrooge\'s character.""Mr. Fezziwig is a kind-hearted merchant and former employer of Scrooge, representing joy and generosity in contrast to Scrooge\'s character.""Mr. Fezziwig is a kind-hearted merchant and former employer of Scrooge, representing joy and generosity in contrast to Scrooge\'s character.""Mr. Fezziwig is a kind-hearted merchant and former employer of Scrooge, representing joy and generosity in contrast to Scrooge\'s character.""Mr. Fezziwig is a kind-hearted old merchant who served as a mentor to Scrooge, representing generosity and the joy of Christmas through his festive parties."', 'source_id': 'chunk-9e3921da66da5d761ab73cd849af6c43'}> -2024-10-30 06:50:17,922 - lightrag - INFO - get_node:query:MATCH (n:`THE CHILDREN`) RETURN n:result:"The Children are a lively group in the matron\'s home, symbolizing joy, chaos, and familial warmth.""The Children in the Cratchit family represent innocence and curiosity, highlighting the effects of their family\'s struggles on their happiness.""The Children serve as symbols of innocence and joy, representing the untainted happiness of childhood that Scrooge longs to reconnect with.""The children are the offspring of the Cratchit family, showcasing innocence and joy during the Christmas celebrations, reacting with laughter and cheer."The Children are a lively and joyful group experiencing wonder and delight, especially during the gift-giving scenes of the Christmas festivities. They embody innocence and joy, highlighting the untainted happiness of childhood, a happiness that Ebenezer Scrooge longs to reconnect with. Among them are the offspring of the Cratchit family, who, despite the struggles their family faces, react with laughter and cheer during the Christmas celebrations. The Children symbolize familial warmth and chaotic joy in various settings, including the matron\'s home and their own family\'s environment, showcasing their carefree nature and the profound effects of their circumstances on their happiness. Overall, they represent the pure and curious essence of childhood, serving as a reminder of the happiness that can persist even amidst adversity.', 'source_id': 'chunk-da2472b4ef2a535b62908f14d0fb0ca9chunk-19d72c57ae3408758b18d2568e86dc6bchunk-c6c248858d1b13ab7ee9ca13c1aeed6bchunk-54bdd22db1f84a965b5f4c06c9216d8dchunk-83ac129dc9b56f84c46760d153d68e93'}> -2024-10-30 06:50:18,011 - lightrag - INFO - get_node:query:MATCH (n:`THE GRATE`) RETURN n:result:"The Grate is a small fire in Scrooge\'s room that provides meager warmth, symbolizing Scrooge\'s cold disposition.""The Grate is a small fire in Scrooge\'s room that provides meager warmth, symbolizing Scrooge\'s cold disposition.""The Grate is a small fire in Scrooge\'s room that provides meager warmth, symbolizing Scrooge\'s cold disposition.""The Grate is a small fire in Scrooge\'s room that provides meager warmth, symbolizing Scrooge\'s cold disposition.""The Grate is part of Scrooge\'s room where a small fire burns, contributing to the bleak and cold atmosphere of his setting."', 'source_id': 'chunk-9c43dac2fcd5b578242d907ea6f8fc7b'}> -2024-10-30 06:50:18,097 - lightrag - INFO - get_node:query:MATCH (n:`THE GOOSE`) RETURN n:result:"The Goose is a central dish enjoyed by the Cratchit family during their Christmas dinner, symbolizing abundance and celebration.""The Goose is a central dish enjoyed by the Cratchit family during their Christmas dinner, symbolizing abundance and celebration.""The Goose is a central dish enjoyed by the Cratchit family during their Christmas dinner, symbolizing abundance and celebration.""The Goose is a central dish enjoyed by the Cratchit family during their Christmas dinner, symbolizing abundance and celebration.""The Goose is a central element of the Cratchit Christmas dinner, representing abundance and the joy of the holiday as the family eagerly anticipates its serving.""The Goose is a central part of the Cratchit family Christmas dinner, which they celebrate with excitement and anticipation, symbolizing abundance and joy.""The Goose is a central element of the Cratchit Christmas dinner, representing abundance and the joy of the holiday as the family eagerly anticipates its serving.""The Goose is a central element of the Cratchit Christmas dinner, representing abundance and the joy of the holiday as the family eagerly anticipates its serving.""The Goose is a central element of the Cratchit Christmas dinner, representing abundance and the joy of the holiday as the family eagerly anticipates its serving.""The Goose is a central element of the Cratchit Christmas dinner, representing abundance and the joy of the holiday as the family eagerly anticipates its serving."', 'source_id': 'chunk-503f0bfa5453467c7c61d160a3540ecachunk-7e2e7ebcc19a53b399dc03aded4743e7'}> -2024-10-30 06:50:18,184 - lightrag - INFO - get_node:query:MATCH (n:`THE WOMAN`) RETURN n:result:chunk-60fc063c79fc0d4acc91a57e79de04dcchunk-89777b838d5447c7bd1ec11282c4ee89'}> -2024-10-30 06:50:18,272 - lightrag - INFO - get_node:query:MATCH (n:`THE SCHOOLMASTER`) RETURN n:result: -2024-10-30 06:50:18,357 - lightrag - INFO - get_node:query:MATCH (n:`TWELFTH-NIGHT PARTY`) RETURN n:result: -2024-10-30 06:50:18,444 - lightrag - INFO - get_node:query:MATCH (n:`THE PHANTOM`) RETURN n:result:"The Phantom represents a ghostly presence guiding Scrooge through reflections on his life and future decisions.""The Phantom represents a ghostly presence guiding Scrooge through reflections on his life and future decisions.""The Phantom represents a ghostly presence guiding Scrooge through reflections on his life and future decisions.""The Phantom represents a ghostly presence guiding Scrooge through reflections on his life and future decisions.""The Phantom represents the supernatural element in Scrooge\'s journey of self-reflection and moral awakening."', 'source_id': 'chunk-f1a4fbcf1ed86864b9bfd5e8dba4c683'}> -2024-10-30 06:50:18,532 - lightrag - INFO - get_node:query:MATCH (n:`THE LAMPLIGHTER`) RETURN n:result:"The Lamplighter is a character who brings light to the street, symbolizing hope and joy as he dotting the dusky street with specks of light.""The Lamplighter is a character who brings light to the street, symbolizing hope and joy as he dotting the dusky street with specks of light.""The Lamplighter is a character who brings light to the street, symbolizing hope and joy as he dotting the dusky street with specks of light.""The Lamplighter is a character who brings light to the street, symbolizing hope and joy as he dotting the dusky street with specks of light.""The Lamplighter is a character who fills the street with light, representing the warmth and joy of the holiday season."', 'source_id': 'chunk-91614df5cb74cbe5e109a338a82041e9'}> -2024-10-30 06:50:18,617 - lightrag - INFO - get_node:query:MATCH (n:`MANSION`) RETURN n:result: -2024-10-30 06:50:18,706 - lightrag - INFO - get_node:query:MATCH (n:`CAROLINE`) RETURN n:result:"Caroline is portrayed as a mother filled with hope and emotion regarding her husband’s situation, revealing her character through her reactions to news.""Caroline is portrayed as a mother filled with hope and emotion regarding her husband’s situation, revealing her character through her reactions to news.""Caroline is portrayed as a mother filled with hope and emotion regarding her husband’s situation, revealing her character through her reactions to news.""Caroline is portrayed as a mother filled with hope and emotion regarding her husband’s situation, revealing her character through her reactions to news.""Caroline is portrayed as a mother filled with hope and emotion regarding her husband’s situation, revealing her character through her reactions to news."', 'source_id': 'chunk-83ac129dc9b56f84c46760d153d68e93'}> -2024-10-30 06:50:18,793 - lightrag - INFO - get_node:query:MATCH (n:`FRED`) RETURN n:result:"Fred is Ebenezer Scrooge\'s nephew, who embodies the spirit of Christmas and represents familial love and joy.""Fred is Scrooge\'s nephew who expresses admiration for Scrooge and raises a toast to his uncle during a Christmas gathering.""Fred is Scrooge\'s nephew, representing familial love and the joy of Christmas gatherings.""Fred is Scrooge\'s nephew, who invites Scrooge to dinner, emphasizing familial connections and the spirit of Christmas.""Fred is Scrooge\'s nephew, who is surprised by Scrooge\'s visit and is depicted as a friendly figure during the Christmas gathering."Fred is Ebenezer Scrooge\'s lively nephew, who embodies the spirit of Christmas and serves as a striking contrast to Scrooge\'s misanthropic nature. He represents familial love and joy, often inviting Scrooge to family gatherings and emphasizing the importance of familial connections during the holiday season. Fred expresses admiration for his uncle and raises a toast in his honor at Christmas gatherings, showcasing his warmth and festive spirit. His character highlights the warmth of family that Scrooge initially rejects, and he is depicted as a friendly figure who is surprised and pleased by Scrooge\'s unexpected visits. Overall, Fred exemplifies the joy and unity of Christmas, passionately inviting Scrooge to embrace the happiness associated with the holiday and family."Fred is Scrooge\'s nephew who expresses admiration for Scrooge and raises a toast to his uncle during a Christmas gathering.""Fred is Scrooge\'s nephew, representing familial love and the joy of Christmas gatherings.""Fred is Scrooge\'s nephew, who invites Scrooge to dinner, emphasizing familial connections and the spirit of Christmas.""Fred is Scrooge\'s nephew, who is surprised by Scrooge\'s visit and is depicted as a friendly figure during the Christmas gathering."', 'source_id': 'chunk-89777b838d5447c7bd1ec11282c4ee89chunk-e7637ff18c5ded77a68cce0a87883fadchunk-9e3921da66da5d761ab73cd849af6c43chunk-94bea83e7153fc2064aa382b494936a1chunk-8f738cb25d60a7dab782162d9d0a25ed'}> -2024-10-30 06:50:18,879 - lightrag - INFO - get_node:query:MATCH (n:`BAD REPUTE`) RETURN n:result: -2024-10-30 06:50:18,966 - lightrag - INFO - get_node:query:MATCH (n:`HOME`) RETURN n:result:"Home represents the physical and emotional center for the family, where the Christmas celebration takes place.""Home represents the physical and emotional center for the family, where the Christmas celebration takes place.""Home represents the physical and emotional center for the family, where the Christmas celebration takes place.""Home represents the physical and emotional center for the family, where the Christmas celebration takes place.""Home symbolizes warmth, safety, and family connection, representing what Scrooge yearns for but has lost in his life.""Home symbolizes warmth, safety, and family connection, representing what Scrooge yearns for but has lost in his life.""Home symbolizes warmth, safety, and family connection, representing what Scrooge yearns for but has lost in his life.""Home symbolizes warmth, safety, and family connection, representing what Scrooge yearns for but has lost in his life.""Home symbolizes warmth, safety, and family connection, representing what Scrooge yearns for but has lost in his life."', 'source_id': 'chunk-da2472b4ef2a535b62908f14d0fb0ca9chunk-c6c248858d1b13ab7ee9ca13c1aeed6b'}> -2024-10-30 06:50:19,053 - lightrag - INFO - get_node:query:MATCH (n:`THE OLD GENTLEMAN`) RETURN n:result: -2024-10-30 06:50:19,138 - lightrag - INFO - get_node:query:MATCH (n:`THE KNOCKER`) RETURN n:result:"The Knocker is a feature on Scrooge\'s door, which takes on a mystical quality when Scrooge perceives Marley\'s face in it.""The Knocker is a feature on Scrooge\'s door, which takes on a mystical quality when Scrooge perceives Marley\'s face in it.""The Knocker is a feature on Scrooge\'s door, which takes on a mystical quality when Scrooge perceives Marley\'s face in it.""The Knocker is a feature on Scrooge\'s door, which takes on a mystical quality when Scrooge perceives Marley\'s face in it.""The Knocker is a physical object that becomes a symbol of Scrooge\'s psyche, transforming into Marley\'s face, representing his guilt and past.""The Knocker is an ornate door knocker that Scrooge admires, reflecting his newfound appreciation for simple joys.""The Knocker on the door serves as a symbolic gateway to the supernatural events, being the first point of eerie interaction for Scrooge.""The Knocker is a physical object that symbolizes Scrooge\'s newfound appreciation for the simple, honest joys of life during Christmas.""The Knocker is a physical object that symbolizes Scrooge\'s newfound appreciation for the simple, honest joys of life during Christmas.""The Knocker is a physical object that symbolizes Scrooge\'s newfound appreciation for the simple, honest joys of life during Christmas.""The Knocker is a physical object that symbolizes Scrooge\'s newfound appreciation for the simple, honest joys of life during Christmas.""The Knocker is a physical object that symbolizes Scrooge\'s newfound appreciation for the simple, honest joys of life during Christmas."', 'source_id': 'chunk-d9aac3484185ac66045df92214d245d5chunk-9c43dac2fcd5b578242d907ea6f8fc7bchunk-8f738cb25d60a7dab782162d9d0a25ed'}> -2024-10-30 06:50:19,225 - lightrag - INFO - get_node:query:MATCH (n:`THE BELL`) RETURN n:result:"The Bell is described as a disused bell that starts to swing and ring during the haunting, signifying the onset of supernatural occurrences.""The Bell is a disused bell in Scrooge\'s room, which begins to swing and rings out loudly, heralding the appearance of Marley\'s Ghost.""The Bell is a disused bell in Scrooge\'s room, which begins to swing and rings out loudly, heralding the appearance of Marley\'s Ghost.""The Bell is a disused bell in Scrooge\'s room, which begins to swing and rings out loudly, heralding the appearance of Marley\'s Ghost.""The Bell is a disused bell in Scrooge\'s room, which begins to swing and rings out loudly, heralding the appearance of Marley\'s Ghost.""The Bell is a disused bell in Scrooge\'s room, which begins to swing and rings out loudly, heralding the appearance of Marley\'s Ghost."', 'source_id': 'chunk-9c43dac2fcd5b578242d907ea6f8fc7bchunk-cb661c37436355ccec2769b1d0350c5f'}> -2024-10-30 06:50:19,309 - lightrag - INFO - get_node:query:MATCH (n:`SHADOW OF HIMSELF`) RETURN n:result: -2024-10-30 06:50:19,398 - lightrag - INFO - get_node:query:MATCH (n:`MARKET-TOWN`) RETURN n:result:"The market-town appears in Scrooge\'s memories as a significant place from his childhood, representing a connection to his past.""The market-town appears in Scrooge\'s memories as a significant place from his childhood, representing a connection to his past.""The market-town appears in Scrooge\'s memories as a significant place from his childhood, representing a connection to his past.""The market-town appears in Scrooge\'s memories as a significant place from his childhood, representing a connection to his past.""The market-town appears in Scrooge\'s memories as a significant place from his childhood, representing a connection to his past."', 'source_id': 'chunk-bb21d58d36c6306fd8810ddd51c4a971'}> -2024-10-30 06:50:19,485 - lightrag - INFO - get_node:query:MATCH (n:`THE GHOST`) RETURN n:result:chunk-43c9bee23adfa77aa9dedd22401bba7dchunk-e7637ff18c5ded77a68cce0a87883fadchunk-359187e7571bda4b0b08b2e0b6581e52chunk-da2472b4ef2a535b62908f14d0fb0ca9chunk-c6c248858d1b13ab7ee9ca13c1aeed6bchunk-02baee20cc9463dbe08170a8e1043e32chunk-1aa50206d02ed89418f65f97c6441d1cchunk-cb661c37436355ccec2769b1d0350c5fchunk-54bdd22db1f84a965b5f4c06c9216d8dchunk-8590d9263cd2cd4fa583c432fc54e6c3chunk-83ac129dc9b56f84c46760d153d68e93chunk-9c43dac2fcd5b578242d907ea6f8fc7b'}> -2024-10-30 06:50:19,575 - lightrag - INFO - get_node:query:MATCH (n:`PEARS`) RETURN n:result: -2024-10-30 06:50:19,661 - lightrag - INFO - get_node:query:MATCH (n:`CRATCHIT FAMILY`) RETURN n:result:"The Cratchit Family consists of Bob, Mrs. Cratchit, and their children, embodying themes of family unity and contentment despite hardships.""The Cratchit Family consists of Bob, Mrs. Cratchit, and their children, embodying themes of family unity and contentment despite hardships.""The Cratchit Family consists of Bob, Mrs. Cratchit, and their children, embodying themes of family unity and contentment despite hardships.""The Cratchit Family consists of Bob, Mrs. Cratchit, and their children, embodying themes of family unity and contentment despite hardships.""The Cratchit Family is a close-knit family characterized by love and togetherness, celebrating Christmas with simple but joyful traditions.""The Cratchit Family is portrayed as a close-knit group who, despite their hardships, find joy and gratitude during the Christmas gathering.""The Cratchit Family is portrayed as a loving unit celebrating Christmas together, with various members actively participating in the festivities.""The Cratchit family represents a unit bound by love and resilience in the face of adversity, dealing with emotional and financial struggles.""The Cratchit Family is depicted as a warm and loving household celebrating Christmas together, with various members actively participating in the festivities.""The Cratchit Family is depicted as a warm and loving household celebrating Christmas together, with various members actively participating in the festivities.""The Cratchit Family is depicted as a warm and loving household celebrating Christmas together, with various members actively participating in the festivities.""The Cratchit Family is depicted as a warm and loving household celebrating Christmas together, with various members actively participating in the festivities.""The Cratchit Family is depicted as a warm and loving household celebrating Christmas together, with various members actively participating in the festivities."', 'source_id': 'chunk-503f0bfa5453467c7c61d160a3540ecachunk-19d72c57ae3408758b18d2568e86dc6bchunk-7e2e7ebcc19a53b399dc03aded4743e7chunk-83ac129dc9b56f84c46760d153d68e93'}> -2024-10-30 06:50:19,748 - lightrag - INFO - get_node:query:MATCH (n:`THE EVENT OF DEATH`) RETURN n:result: -2024-10-30 06:50:19,837 - lightrag - INFO - get_node:query:MATCH (n:`COLD WEATHER`) RETURN n:result:"Cold Weather sets the bleak and unforgiving atmosphere, reflecting Scrooge’s own personality and state of mind.""Cold Weather sets the bleak and unforgiving atmosphere, reflecting Scrooge’s own personality and state of mind.""Cold Weather sets the bleak and unforgiving atmosphere, reflecting Scrooge’s own personality and state of mind.""Cold Weather sets the bleak and unforgiving atmosphere, reflecting Scrooge’s own personality and state of mind.""Cold Weather sets the bleak and unforgiving atmosphere, reflecting Scrooge’s own personality and state of mind."', 'source_id': 'chunk-f1a4fbcf1ed86864b9bfd5e8dba4c683chunk-74e2466de2f67fd710ef2f20c0a8d9e0'}> -2024-10-30 06:50:19,925 - lightrag - INFO - get_node:query:MATCH (n:`THE GHOST OF MARLEY`) RETURN n:result:"The Ghost of Marley refers to the apparition that appears to Scrooge, serving as a catalyst for his transformation and moral reckoning.""The Ghost of Marley refers to the apparition that appears to Scrooge, serving as a catalyst for his transformation and moral reckoning.""The Ghost of Marley refers to the apparition that appears to Scrooge, serving as a catalyst for his transformation and moral reckoning.""The Ghost of Marley refers to the apparition that appears to Scrooge, serving as a catalyst for his transformation and moral reckoning.""The Ghost of Marley refers to the apparition that appears to Scrooge, serving as a catalyst for his transformation and moral reckoning."', 'source_id': 'chunk-d9aac3484185ac66045df92214d245d5'}> -2024-10-30 06:50:20,015 - lightrag - INFO - get_node:query:MATCH (n:`COUNTING-HOUSE`) RETURN n:result:"Scrooge\'s counting-house is the place of his work, characterized by coldness and a lack of warmth or holiday spirit.""Scrooge\'s counting-house is the place of his work, characterized by coldness and a lack of warmth or holiday spirit.""Scrooge\'s counting-house is the place of his work, characterized by coldness and a lack of warmth or holiday spirit.""Scrooge\'s counting-house is the place of his work, characterized by coldness and a lack of warmth or holiday spirit.""The Counting-House is a physical space representing the business environment where Scrooge and Marley engaged in trade but also symbolizes their limited worldview.""The Counting-house is the place where Scrooge conducted his business and represents the limitations of his previous life.""The Counting-house is the place where Scrooge conducted his business and represents the limitations of his previous life.""The Counting-house is the place where Scrooge conducted his business and represents the limitations of his previous life.""The Counting-house is the place where Scrooge conducted his business and represents the limitations of his previous life.""The Counting-house is the place where Scrooge conducted his business and represents the limitations of his previous life."', 'source_id': 'chunk-359187e7571bda4b0b08b2e0b6581e52chunk-74e2466de2f67fd710ef2f20c0a8d9e0'}> -2024-10-30 06:50:20,103 - lightrag - INFO - get_node:query:MATCH (n:`THE HUSBAND`) RETURN n:result: -2024-10-30 06:50:20,190 - lightrag - INFO - get_node:query:MATCH (n:`SCROOGE`) RETURN n:result:chunk-b0f459f5af1c3a5e0b92cbe4ee48b77bchunk-e7637ff18c5ded77a68cce0a87883fadchunk-359187e7571bda4b0b08b2e0b6581e52chunk-e1f29eeadc1d8ab46dc8a0bbd3c56b64chunk-c6c248858d1b13ab7ee9ca13c1aeed6bchunk-cb661c37436355ccec2769b1d0350c5fchunk-f1a4fbcf1ed86864b9bfd5e8dba4c683chunk-99b0ec7f7e006561352b5d65e849611dchunk-843b5b2f944c7413d9ca876e2e2f151fchunk-90b95db5c53e4364a6bee36b7aa4d70fchunk-19d72c57ae3408758b18d2568e86dc6bchunk-02baee20cc9463dbe08170a8e1043e32chunk-503f0bfa5453467c7c61d160a3540ecachunk-91572b3cd42786ba4cb2f180ca25cbf4chunk-83ac129dc9b56f84c46760d153d68e93chunk-8f738cb25d60a7dab782162d9d0a25edchunk-94bea83e7153fc2064aa382b494936a1chunk-9c43dac2fcd5b578242d907ea6f8fc7bchunk-74e2466de2f67fd710ef2f20c0a8d9e0chunk-89777b838d5447c7bd1ec11282c4ee89chunk-d9aac3484185ac66045df92214d245d5chunk-90d5764e301321c087f5a8f78b73a145chunk-91614df5cb74cbe5e109a338a82041e9chunk-54bdd22db1f84a965b5f4c06c9216d8dchunk-773d0df1dd25c356f7b771d780583e09chunk-5dac41b3f9eeaf794f0147400b1718cdchunk-43c9bee23adfa77aa9dedd22401bba7dchunk-da2472b4ef2a535b62908f14d0fb0ca9chunk-1aa50206d02ed89418f65f97c6441d1cchunk-8590d9263cd2cd4fa583c432fc54e6c3chunk-b2f98bc7abb0c67d4c86055c7fd72218chunk-bb21d58d36c6306fd8810ddd51c4a971'}> -2024-10-30 06:50:20,277 - lightrag - INFO - get_node:query:MATCH (n:`THE GENTLEMEN`) RETURN n:result: -2024-10-30 06:50:20,367 - lightrag - INFO - get_node:query:MATCH (n:`THE COUNTESS`) RETURN n:result:"The Countess is mentioned by Martha, indicating an encounter that highlights the social stratification and aspirations of the Cratchit family.""The Countess is mentioned by Martha, indicating an encounter that highlights the social stratification and aspirations of the Cratchit family.""The Countess is mentioned by Martha, indicating an encounter that highlights the social stratification and aspirations of the Cratchit family.""The Countess is mentioned by Martha, indicating an encounter that highlights the social stratification and aspirations of the Cratchit family.""The Countess is referenced by Martha, showcasing her interaction with figures of higher social status, contrasting with the Cratchit family\'s situation."', 'source_id': 'chunk-19d72c57ae3408758b18d2568e86dc6b'}> -2024-10-30 06:50:20,459 - lightrag - INFO - get_node:query:MATCH (n:`CHRISTMAS-TIME`) RETURN n:result:"Christmas-Time refers to the period surrounding Christmas, laden with connotations of joy, generosity, and family gatherings, which Scrooge vehemently criticizes.""Christmas-Time refers to the period surrounding Christmas, laden with connotations of joy, generosity, and family gatherings, which Scrooge vehemently criticizes.""Christmas-Time refers to the period surrounding Christmas, laden with connotations of joy, generosity, and family gatherings, which Scrooge vehemently criticizes.""Christmas-Time refers to the period surrounding Christmas, laden with connotations of joy, generosity, and family gatherings, which Scrooge vehemently criticizes.""Christmas-time is characterized as a period filled with festivities, joy, and community engagement, which Scrooge regards cynically.""Christmas-time represents the festive season, a recurring theme that evokes memories and emotions in Scrooge’s reflections.""Christmas-time serves as a backdrop for the narrative, emphasizing themes of reflection, mortality, and social interactions.""Christmas-time symbolizes a period of joy and reunion, characterized by scenes of celebration and warmth in the story.""Christmas-time symbolizes a period of joy and reunion, characterized by scenes of celebration and warmth in the story.""Christmas-time symbolizes a period of joy and reunion, characterized by scenes of celebration and warmth in the story.""Christmas-time symbolizes a period of joy and reunion, characterized by scenes of celebration and warmth in the story.""Christmas-time symbolizes a period of joy and reunion, characterized by scenes of celebration and warmth in the story."', 'source_id': 'chunk-f1a4fbcf1ed86864b9bfd5e8dba4c683chunk-5dac41b3f9eeaf794f0147400b1718cdchunk-c6c248858d1b13ab7ee9ca13c1aeed6b'}> -2024-10-30 06:50:20,547 - lightrag - INFO - get_node:query:MATCH (n:`THE YOUNG GIRL`) RETURN n:result: -2024-10-30 06:50:20,637 - lightrag - INFO - get_node:query:MATCH (n:`THE CLOCK`) RETURN n:result:"The Clock is mentioned as malfunctioning, which symbolizes the confusion and distortion of time that Scrooge experiences during his nighttime visitations.""The Clock serves as a symbol of time passing, reflecting Scrooge\'s disorientation regarding time as he transitions between reality and the supernatural.""The Clock signifies the passage of time during the Domestic Ball and plays a role in marking the end of the celebration.""The Clock serves as a symbol of time passing, reflecting Scrooge\'s disorientation regarding time as he transitions between reality and the supernatural.""The Clock signifies the passage of time during the Domestic Ball and plays a role in marking the end of the celebration.""The Clock serves as a symbol of time passing, reflecting Scrooge\'s disorientation regarding time as he transitions between reality and the supernatural.""The Clock signifies the passage of time during the Domestic Ball and plays a role in marking the end of the celebration.""The Clock serves as a symbol of time passing, reflecting Scrooge\'s disorientation regarding time as he transitions between reality and the supernatural.""The Clock signifies the passage of time during the Domestic Ball and plays a role in marking the end of the celebration.""The Clock serves as a symbol of time passing, reflecting Scrooge\'s disorientation regarding time as he transitions between reality and the supernatural.""The Clock signifies the passage of time during the Domestic Ball and plays a role in marking the end of the celebration."', 'source_id': 'chunk-c7b10789a9cb0af6c553730b29bd9034chunk-b2f98bc7abb0c67d4c86055c7fd72218chunk-cb661c37436355ccec2769b1d0350c5f'}> -2024-10-30 06:50:20,726 - lightrag - INFO - get_node:query:MATCH (n:`THE COMELY MATRON`) RETURN n:result: -2024-10-30 06:50:20,812 - lightrag - INFO - get_node:query:MATCH (n:`MASTER SCROOGE`) RETURN n:result: -2024-10-30 06:50:20,899 - lightrag - INFO - get_node:query:MATCH (n:`GREAT BRITAIN`) RETURN n:result:"Great Britain is a location mentioned as having chimneys that appear to be catching fire and is the setting for a gloomy climate during Christmas time.""Great Britain is a location mentioned as having chimneys that appear to be catching fire and is the setting for a gloomy climate during Christmas time.""Great Britain is a location mentioned as having chimneys that appear to be catching fire and is the setting for a gloomy climate during Christmas time.""Great Britain is a location mentioned as having chimneys that appear to be catching fire and is the setting for a gloomy climate during Christmas time.""Great Britain is referenced as a location suffering from severe weather, which contrasts with the cheerful activities of its people during Christmas."', 'source_id': 'chunk-99b0ec7f7e006561352b5d65e849611d'}> -2024-10-30 06:50:20,986 - lightrag - INFO - get_node:query:MATCH (n:`SCHOOL`) RETURN n:result: -2024-10-30 06:50:21,077 - lightrag - INFO - get_node:query:MATCH (n:`THE COUNTING-HOUSE`) RETURN n:result:"The Counting-House is where Scrooge works and is characterized by its cold and unwelcoming environment.""The Counting-House is the place where Scrooge works, reflecting a business environment lacking warmth or joy.""The Counting-House is the place where Scrooge works, reflecting a business environment lacking warmth or joy.""The Counting-House is the place where Scrooge works, reflecting a business environment lacking warmth or joy.""The Counting-House is the place where Scrooge works, reflecting a business environment lacking warmth or joy.""The Counting-House is the place where Scrooge works, reflecting a business environment lacking warmth or joy."', 'source_id': 'chunk-d9aac3484185ac66045df92214d245d5chunk-74e2466de2f67fd710ef2f20c0a8d9e0'}> -2024-10-30 06:50:21,166 - lightrag - INFO - get_node:query:MATCH (n:`THE DRESSING-GOWN`) RETURN n:result:"The Dressing-Gown is worn by Scrooge, symbolizing his state of vulnerability and introspection as he grapples with profound ideas in the narrative.""The Dressing-Gown is worn by Scrooge, symbolizing his state of vulnerability and introspection as he grapples with profound ideas in the narrative.""The Dressing-Gown is worn by Scrooge, symbolizing his state of vulnerability and introspection as he grapples with profound ideas in the narrative.""The Dressing-Gown is worn by Scrooge, symbolizing his state of vulnerability and introspection as he grapples with profound ideas in the narrative.""The Dressing-Gown is worn by Scrooge, symbolizing his state of vulnerability and introspection as he grapples with profound ideas in the narrative."', 'source_id': 'chunk-c7b10789a9cb0af6c553730b29bd9034chunk-9c43dac2fcd5b578242d907ea6f8fc7b'}> -2024-10-30 06:50:21,256 - lightrag - INFO - get_node:query:MATCH (n:`CHURCH`) RETURN n:result: -2024-10-30 06:50:21,341 - lightrag - INFO - get_node:query:MATCH (n:`BOYS`) RETURN n:result: -2024-10-30 06:50:21,432 - lightrag - INFO - get_node:query:MATCH (n:`THE COLD`) RETURN n:result: -2024-10-30 06:50:21,519 - lightrag - INFO - get_node:query:MATCH (n:`THE WINE-MERCHANT'S CELLAR`) RETURN n:result:"The Wine-Merchant\'s Cellar is a location within The House where sounds of dragging chains are heard, signifying a haunted presence.""The Wine-Merchant\'s Cellar is a location within The House where sounds of dragging chains are heard, signifying a haunted presence.""The Wine-Merchant\'s Cellar is a location within The House where sounds of dragging chains are heard, signifying a haunted presence.""The Wine-Merchant\'s Cellar is a location within The House where sounds of dragging chains are heard, signifying a haunted presence.""The Wine-Merchant\'s Cellar is a location within The House where sounds of dragging chains are heard, signifying a haunted presence."', 'source_id': 'chunk-9c43dac2fcd5b578242d907ea6f8fc7b'}> -2024-10-30 06:50:21,612 - lightrag - INFO - get_node:query:MATCH (n:`THE PARROT`) RETURN n:result: -2024-10-30 06:50:21,701 - lightrag - INFO - get_node:query:MATCH (n:`THE MEMORY`) RETURN n:result: -2024-10-30 06:50:21,788 - lightrag - INFO - get_node:query:MATCH (n:`SCROOGE AND MARLEY'S`) RETURN n:result: -2024-10-30 06:50:21,876 - lightrag - INFO - get_node:query:MATCH (n:`IGNORANCE`) RETURN n:result:"Ignorance is personified as a boy that symbolizes the dangers of ignoring social issues and the consequences of a lack of awareness.""Ignorance personifies a societal failing, depicted as a child, warning of the dangers of neglect and moral responsibility.""Ignorance refers to one of the two children presented by the Spirit, symbolizing societal neglect and the consequences of lack of awareness.""Ignorance personifies a societal failing, depicted as a child, warning of the dangers of neglect and moral responsibility.""Ignorance refers to one of the two children presented by the Spirit, symbolizing societal neglect and the consequences of lack of awareness.""Ignorance personifies a societal failing, depicted as a child, warning of the dangers of neglect and moral responsibility.""Ignorance refers to one of the two children presented by the Spirit, symbolizing societal neglect and the consequences of lack of awareness.""Ignorance personifies a societal failing, depicted as a child, warning of the dangers of neglect and moral responsibility.""Ignorance refers to one of the two children presented by the Spirit, symbolizing societal neglect and the consequences of lack of awareness.""Ignorance personifies a societal failing, depicted as a child, warning of the dangers of neglect and moral responsibility.""Ignorance refers to one of the two children presented by the Spirit, symbolizing societal neglect and the consequences of lack of awareness."', 'source_id': 'chunk-02baee20cc9463dbe08170a8e1043e32chunk-e7637ff18c5ded77a68cce0a87883fad'}> -2024-10-30 06:50:21,963 - lightrag - INFO - get_node:query:MATCH (n:`BUSINESSMEN`) RETURN n:result: -2024-10-30 06:50:22,056 - lightrag - INFO - get_node:query:MATCH (n:`THE TANK`) RETURN n:result:"The Tank is the workplace setting where Bob Cratchit works under Scrooge, highlighting the power dynamics in their relationship.""The Tank is the workplace setting where Bob Cratchit works under Scrooge, highlighting the power dynamics in their relationship.""The Tank is the workplace setting where Bob Cratchit works under Scrooge, highlighting the power dynamics in their relationship.""The Tank is the workplace setting where Bob Cratchit works under Scrooge, highlighting the power dynamics in their relationship.""The Tank refers to Bob Cratchit\'s work area, where he encounters Scrooge and faces the consequences of arriving late."', 'source_id': 'chunk-94bea83e7153fc2064aa382b494936a1'}> -2024-10-30 06:50:22,146 - lightrag - INFO - get_node:query:MATCH (n:`GAOL`) RETURN n:result:"Gaol refers to a prison, illustrating the theme of social justice and the conditions of the impoverished in society.""Gaol refers to a prison, illustrating the theme of social justice and the conditions of the impoverished in society.""Gaol refers to a prison, illustrating the theme of social justice and the conditions of the impoverished in society.""Gaol refers to a prison, illustrating the theme of social justice and the conditions of the impoverished in society.""The Gaol symbolizes imprisonment and despair, representing the societal failings and the need for mercy and understanding."', 'source_id': 'chunk-e7637ff18c5ded77a68cce0a87883fad'}> -2024-10-30 06:50:22,234 - lightrag - INFO - get_node:query:MATCH (n:`FIGS`) RETURN n:result: -2024-10-30 06:50:22,325 - lightrag - INFO - get_node:query:MATCH (n:`THE GHOST OF JACOB MARLEY`) RETURN n:result: -2024-10-30 06:50:22,416 - lightrag - INFO - get_node:query:MATCH (n:`CHRISTMAS EVE`) RETURN n:result:"Christmas Eve is a significant time in the story, marked by celebrations and gatherings led by Fezziwig.""Christmas Eve is a significant time in the story, marked by celebrations and gatherings led by Fezziwig.""Christmas Eve is a significant time in the story, marked by celebrations and gatherings led by Fezziwig.""Christmas Eve is a significant time in the story, marked by celebrations and gatherings led by Fezziwig.""Christmas Eve is depicted as a significant time, bringing about joyful activities like sliding down snow hills, contrasting with Scrooge\'s dour demeanor.""Christmas Eve is the night before Christmas, serving as the backdrop for the lively celebrations and dances hosted by Fezziwig.""Christmas Eve is the specific time setting in the story, highlighting the contrast between the joy of the holiday and Scrooge\'s negativity.""Christmas Eve is the day prior to Christmas, a time that carries festive significance and anticipation in the narrative.""Christmas Eve is the day prior to Christmas, a time that carries festive significance and anticipation in the narrative.""Christmas Eve is the day prior to Christmas, a time that carries festive significance and anticipation in the narrative.""Christmas Eve is the day prior to Christmas, a time that carries festive significance and anticipation in the narrative.""Christmas Eve is the day prior to Christmas, a time that carries festive significance and anticipation in the narrative."', 'source_id': 'chunk-d9aac3484185ac66045df92214d245d5chunk-8bc1edd983869352d14cf0886a9175a7chunk-74e2466de2f67fd710ef2f20c0a8d9e0'}> -2024-10-30 06:50:22,507 - lightrag - INFO - get_node:query:MATCH (n:`CHRISTMAS DAY`) RETURN n:result:"Christmas Day is a significant holiday that marks the time of Scrooge\'s revelation and intent to change.""Christmas Day is celebrated by the Cratchit family with a communal meal and expressions of joy and togetherness, highlighting the importance of family and gratitude.""Christmas Day serves as the central event around which the family gathers and reflects on their feelings towards Scrooge.""Christmas Day is portrayed as a day of celebration and gathering, emphasizing themes of togetherness and generosity.""Christmas Day serves as a central event for the gathering of the Cratchit family, filled with mixed feelings about their employer, Scrooge.""Christmas Day serves as the backdrop for Scrooge\'s transformation, representing joy, celebration, and new beginnings.""Christmas Day is portrayed as a day of celebration and gathering, emphasizing themes of togetherness and generosity.""Christmas Day serves as a central event for the gathering of the Cratchit family, filled with mixed feelings about their employer, Scrooge.""Christmas Day serves as the backdrop for Scrooge\'s transformation, representing joy, celebration, and new beginnings.""Christmas Day is portrayed as a day of celebration and gathering, emphasizing themes of togetherness and generosity.""Christmas Day serves as a central event for the gathering of the Cratchit family, filled with mixed feelings about their employer, Scrooge.""Christmas Day serves as the backdrop for Scrooge\'s transformation, representing joy, celebration, and new beginnings.""Christmas Day is portrayed as a day of celebration and gathering, emphasizing themes of togetherness and generosity.""Christmas Day serves as a central event for the gathering of the Cratchit family, filled with mixed feelings about their employer, Scrooge.""Christmas Day serves as the backdrop for Scrooge\'s transformation, representing joy, celebration, and new beginnings.""Christmas Day is portrayed as a day of celebration and gathering, emphasizing themes of togetherness and generosity.""Christmas Day serves as a central event for the gathering of the Cratchit family, filled with mixed feelings about their employer, Scrooge.""Christmas Day serves as the backdrop for Scrooge\'s transformation, representing joy, celebration, and new beginnings."', 'source_id': 'chunk-19d72c57ae3408758b18d2568e86dc6bchunk-90b95db5c53e4364a6bee36b7aa4d70fchunk-7e2e7ebcc19a53b399dc03aded4743e7chunk-b0f459f5af1c3a5e0b92cbe4ee48b77b'}> -2024-10-30 06:50:22,595 - lightrag - INFO - get_node:query:MATCH (n:`THE PHANTOM VOICES`) RETURN n:result: -2024-10-30 06:50:22,681 - lightrag - INFO - get_node:query:MATCH (n:`CHILD`) RETURN n:result: -2024-10-30 06:50:22,770 - lightrag - INFO - get_node:query:MATCH (n:`CLOCK`) RETURN n:result: -2024-10-30 06:50:22,854 - lightrag - INFO - get_node:query:MATCH (n:`JACOB`) RETURN n:result:"Jacob is Scrooge\'s old partner whose death is acknowledged, influencing Scrooge\'s reflections on his own life and future.""Jacob is Scrooge\'s old partner whose death is acknowledged, influencing Scrooge\'s reflections on his own life and future.""Jacob is Scrooge\'s old partner whose death is acknowledged, influencing Scrooge\'s reflections on his own life and future.""Jacob is Scrooge\'s old partner whose death is acknowledged, influencing Scrooge\'s reflections on his own life and future.""Jacob is referenced as Scrooge\'s old partner, significant for his recent death and the impact of this event on Scrooge\'s reflections."', 'source_id': 'chunk-f1a4fbcf1ed86864b9bfd5e8dba4c683'}> -2024-10-30 06:50:22,945 - lightrag - INFO - get_node:query:MATCH (n:`GHOST OF JACOB MARLEY`) RETURN n:result:"The Ghost of Jacob Marley is the specter of Scrooge\'s former business partner, who warns Scrooge to change his ways.""The Ghost of Jacob Marley is the specter of Scrooge\'s former business partner, who warns Scrooge to change his ways.""The Ghost of Jacob Marley is the specter of Scrooge\'s former business partner, who warns Scrooge to change his ways.""The Ghost of Jacob Marley is the specter of Scrooge\'s former business partner, who warns Scrooge to change his ways.""The Ghost of Jacob Marley is the specter of Scrooge\'s former business partner, who warns Scrooge to change his ways."', 'source_id': 'chunk-9e3921da66da5d761ab73cd849af6c43'}> -2024-10-30 06:50:23,035 - lightrag - INFO - get_node:query:MATCH (n:`THE GHOST OF CHRISTMAS PAST`) RETURN n:result:"The Ghost of Christmas Past is a supernatural entity that allows Scrooge to revisit and reflect on his previous life experiences.""The Ghost of Christmas Past is a supernatural entity that allows Scrooge to revisit and reflect on his previous life experiences.""The Ghost of Christmas Past is a supernatural entity that allows Scrooge to revisit and reflect on his previous life experiences.""The Ghost of Christmas Past is a supernatural entity that allows Scrooge to revisit and reflect on his previous life experiences.""The Ghost of Christmas Past is a supernatural entity that shows Scrooge moments from his past, eliciting reflection and emotion.""The Ghost of Christmas Past represents Scrooge\'s history and helps him confront his former self and decisions made in life.""The Ghost of Christmas Past represents Scrooge\'s history and helps him confront his former self and decisions made in life.""The Ghost of Christmas Past represents Scrooge\'s history and helps him confront his former self and decisions made in life.""The Ghost of Christmas Past represents Scrooge\'s history and helps him confront his former self and decisions made in life.""The Ghost of Christmas Past represents Scrooge\'s history and helps him confront his former self and decisions made in life."', 'source_id': 'chunk-b2f98bc7abb0c67d4c86055c7fd72218chunk-90b95db5c53e4364a6bee36b7aa4d70f'}> -2024-10-30 06:50:23,122 - lightrag - INFO - get_node:query:MATCH (n:`THE TURKEY`) RETURN n:result:"The Turkey represents a key symbol of generosity and festivity during Christmas, as Scrooge purchases it to spread joy.""The Turkey symbolizes the generosity and festive spirit that Scrooge embraces following his transformation.""The Turkey represents a key symbol of generosity and festivity during Christmas, as Scrooge purchases it to spread joy.""The Turkey symbolizes the generosity and festive spirit that Scrooge embraces following his transformation.""The Turkey represents a key symbol of generosity and festivity during Christmas, as Scrooge purchases it to spread joy.""The Turkey symbolizes the generosity and festive spirit that Scrooge embraces following his transformation.""The Turkey represents a key symbol of generosity and festivity during Christmas, as Scrooge purchases it to spread joy.""The Turkey symbolizes the generosity and festive spirit that Scrooge embraces following his transformation.""The Turkey represents a key symbol of generosity and festivity during Christmas, as Scrooge purchases it to spread joy.""The Turkey symbolizes the generosity and festive spirit that Scrooge embraces following his transformation."', 'source_id': 'chunk-8f738cb25d60a7dab782162d9d0a25edchunk-90b95db5c53e4364a6bee36b7aa4d70f'}> -2024-10-30 06:50:23,209 - lightrag - INFO - get_node:query:MATCH (n:`MISERY'S REFUGE`) RETURN n:result: -2024-10-30 06:50:23,298 - lightrag - INFO - get_node:query:MATCH (n:`BEGGARS`) RETURN n:result: -2024-10-30 06:50:23,384 - lightrag - INFO - get_node:query:MATCH (n:`OLD JOE`) RETURN n:result:"Old Joe is a grey-haired man who runs a shop where people come to sell their belongings after a death, embodying a rough, pragmatic character.""Old Joe is a grey-haired man who runs a shop where people come to sell their belongings after a death, embodying a rough, pragmatic character.""Old Joe is a grey-haired man who runs a shop where people come to sell their belongings after a death, embodying a rough, pragmatic character.""Old Joe is a grey-haired man who runs a shop where people come to sell their belongings after a death, embodying a rough, pragmatic character.""Old Joe is a grey-haired man, nearly seventy years old, who runs a shop and conducts business in a rather nonchalant manner, showcasing a certain charm amidst his questionable dealings."', 'source_id': 'chunk-60fc063c79fc0d4acc91a57e79de04dc'}> -2024-10-30 06:50:23,474 - lightrag - INFO - get_node:query:MATCH (n:`THE THREE SPIRITS`) RETURN n:result:"The Three Spirits are the apparitions that Jacob Marley warns Scrooge about, who will visit him to guide him toward redemption.""The Three Spirits are the apparitions that Jacob Marley warns Scrooge about, who will visit him to guide him toward redemption.""The Three Spirits are the apparitions that Jacob Marley warns Scrooge about, who will visit him to guide him toward redemption.""The Three Spirits are the apparitions that Jacob Marley warns Scrooge about, who will visit him to guide him toward redemption.""The Three Spirits refer to the supernatural beings that are prophesied to visit Scrooge, each representing different aspects of time and morality."', 'source_id': 'chunk-cb661c37436355ccec2769b1d0350c5f'}> -2024-10-30 06:50:23,562 - lightrag - INFO - get_node:query:MATCH (n:`FEZZIWIG`) RETURN n:result:"Fezziwig is a character known for hosting a domestic ball that brings joy and merriment to the participants, showcasing his ability to create happiness.""Fezziwig is a joyful and lively character who dances with Mrs. Fezziwig, embodying the festive spirit of Christmas.""Fezziwig is presented as Scrooge\'s former employer, known for his jovial nature and generous spirit, who plays a significant role in Scrooge\'s memories.""Fezziwig is the owner of a business where festive celebrations take place, known for his jovial character and ability to create a lively atmosphere."Fezziwig is a character renowned for his role as a joyful and jovial employer who hosts domestic balls, creating an atmosphere filled with happiness and merriment for his participants. He is depicted as a kind-hearted figure who organizes lively Christmas festivities for his employees, exemplifying kindness and generosity. Fezziwig plays a significant role in the memories of Ebenezer Scrooge, being portrayed as his former employer who embodies the true spirit of Christmas.\n\nHe is often seen dancing with his wife, Mrs. Fezziwig, which further illustrates his cheerful nature and the festive spirit surrounding the celebrations. As the owner of a business where these vibrant festivities take place, Fezziwig is celebrated for his ability to create a lively and joyful environment, leaving a lasting impression on those who encounter him during the festive seasons. His portrayal encapsulates the essence of joy, generosity, and the festive spirit, making him a beloved character in the narrative of Scrooge\'s past."Fezziwig is a joyful and lively character who dances with Mrs. Fezziwig, embodying the festive spirit of Christmas.""Fezziwig is presented as Scrooge\'s former employer, known for his jovial nature and generous spirit, who plays a significant role in Scrooge\'s memories.""Fezziwig is the owner of a business where festive celebrations take place, known for his jovial character and ability to create a lively atmosphere."', 'source_id': 'chunk-b2f98bc7abb0c67d4c86055c7fd72218chunk-c6c248858d1b13ab7ee9ca13c1aeed6bchunk-8bc1edd983869352d14cf0886a9175a7chunk-89777b838d5447c7bd1ec11282c4ee89'}> -2024-10-30 06:50:23,651 - lightrag - INFO - get_node:query:MATCH (n:`TOPPER`) RETURN n:result:chunk-43c9bee23adfa77aa9dedd22401bba7dchunk-94bea83e7153fc2064aa382b494936a1'}> -2024-10-30 06:50:23,737 - lightrag - INFO - get_node:query:MATCH (n:`THE GHOST OF CHRISTMAS FUTURE`) RETURN n:result: -2024-10-30 06:50:23,823 - lightrag - INFO - get_node:query:MATCH (n:`DARKNESS`) RETURN n:result: -2024-10-30 06:50:23,910 - lightrag - INFO - get_node:query:MATCH (n:`THE CRATCHIT HOUSEHOLD`) RETURN n:result: -2024-10-30 06:50:23,998 - lightrag - INFO - get_node:query:MATCH (n:`THE HEAVY CHAIN`) RETURN n:result: -2024-10-30 06:50:24,087 - lightrag - INFO - get_node:query:MATCH (n:`MARTHA`) RETURN n:result:"Martha is the daughter in the Cratchit family, who makes a dramatic entrance to surprise her family, highlighting the family\'s closeness.""Martha is the daughter in the Cratchit family, who makes a dramatic entrance to surprise her family, highlighting the family\'s closeness.""Martha is the daughter in the Cratchit family, who makes a dramatic entrance to surprise her family, highlighting the family\'s closeness.""Martha is the daughter in the Cratchit family, who makes a dramatic entrance to surprise her family, highlighting the family\'s closeness.""Martha is the daughter in the Cratchit family, who makes a dramatic entrance to surprise her family, highlighting the family\'s closeness."', 'source_id': 'chunk-19d72c57ae3408758b18d2568e86dc6bchunk-7e2e7ebcc19a53b399dc03aded4743e7'}> -2024-10-30 06:50:24,173 - lightrag - INFO - get_node:query:MATCH (n:`PEOPLE`) RETURN n:result: -2024-10-30 06:50:24,269 - lightrag - INFO - get_node:query:MATCH (n:`THE DOWERLESS GIRL`) RETURN n:result: -2024-10-30 06:50:24,358 - lightrag - INFO - get_node:query:MATCH (n:`THE GHOST OF CHRISTMAS PRESENT`) RETURN n:result:"The Ghost of Christmas Present is a supernatural being that shows Scrooge the true spirit of Christmas, including kindness towards the poor.""The Ghost of Christmas Present signifies abundance and the spirit of joy that Scrooge is encouraged to embrace.""The Ghost of Christmas Present is one of the spirits that help Scrooge understand the importance of generosity and compassion during the festive season.""The Ghost of Christmas Present is one of the spirits that help Scrooge understand the importance of generosity and compassion during the festive season.""The Ghost of Christmas Present is one of the spirits that help Scrooge understand the importance of generosity and compassion during the festive season.""The Ghost of Christmas Present is one of the spirits that help Scrooge understand the importance of generosity and compassion during the festive season.""The Ghost of Christmas Present is one of the spirits that help Scrooge understand the importance of generosity and compassion during the festive season."', 'source_id': 'chunk-43c9bee23adfa77aa9dedd22401bba7dchunk-90b95db5c53e4364a6bee36b7aa4d70fchunk-b0f459f5af1c3a5e0b92cbe4ee48b77b'}> -2024-10-30 06:50:24,502 - lightrag - INFO - get_node:query:MATCH (n:`THE FATHER`) RETURN n:result:"The Father is a character who returns home and is greeted with excitement, embodying family warmth and joy during Christmas celebrations.""The Father is a character who returns home with presents, symbolizing the joy of family and the spirit of giving during Christmas.""The Father is a character who returns home and is greeted with excitement, embodying family warmth and joy during Christmas celebrations.""The Father is a character who returns home with presents, symbolizing the joy of family and the spirit of giving during Christmas.""The Father is a character who returns home and is greeted with excitement, embodying family warmth and joy during Christmas celebrations.""The Father is a character who returns home with presents, symbolizing the joy of family and the spirit of giving during Christmas.""The Father is a character who returns home and is greeted with excitement, embodying family warmth and joy during Christmas celebrations.""The Father is a character who returns home with presents, symbolizing the joy of family and the spirit of giving during Christmas.""The Father is a character who returns home and is greeted with excitement, embodying family warmth and joy during Christmas celebrations.""The Father is a character who returns home with presents, symbolizing the joy of family and the spirit of giving during Christmas."', 'source_id': 'chunk-54bdd22db1f84a965b5f4c06c9216d8dchunk-da2472b4ef2a535b62908f14d0fb0ca9'}> -2024-10-30 06:50:24,598 - lightrag - INFO - get_node:query:MATCH (n:`THE DECEASED MAN`) RETURN n:result: -2024-10-30 06:50:24,688 - lightrag - INFO - get_node:query:MATCH (n:`CHRISTMAS EVES`) RETURN n:result:"Christmas Eves refer to the time periods associated with the spirits\' visits, specifically connecting to themes of reflection and redemption during the festive season.""Christmas Eves refer to the time periods associated with the spirits\' visits, specifically connecting to themes of reflection and redemption during the festive season.""Christmas Eves refer to the time periods associated with the spirits\' visits, specifically connecting to themes of reflection and redemption during the festive season.""Christmas Eves refer to the time periods associated with the spirits\' visits, specifically connecting to themes of reflection and redemption during the festive season.""Christmas Eves refers to the recurring time periods that Marley reflects upon, indicating the weight of his past decisions leading to regret."', 'source_id': 'chunk-359187e7571bda4b0b08b2e0b6581e52'}> -2024-10-30 06:50:24,777 - lightrag - INFO - get_node:query:MATCH (n:`GRAVE`) RETURN n:result: -2024-10-30 06:50:24,864 - lightrag - INFO - get_node:query:MATCH (n:`THE FOUNDER OF THE FEAST`) RETURN n:result: -2024-10-30 06:50:24,951 - lightrag - INFO - get_node:query:MATCH (n:`THE CRATCHIT HOUSE`) RETURN n:result: -2024-10-30 06:50:25,041 - lightrag - INFO - get_node:query:MATCH (n:`FAN`) RETURN n:result:"Fan is Ebenezer Scrooge\'s sister, who represents love and kindness from Scrooge\'s past, influencing his character development.""Fan is Ebenezer Scrooge\'s sister, who represents love and kindness from Scrooge\'s past, influencing his character development.""Fan is Ebenezer Scrooge\'s sister, who represents love and kindness from Scrooge\'s past, influencing his character development.""Fan is Ebenezer Scrooge\'s sister, who represents love and kindness from Scrooge\'s past, influencing his character development.""Fan is Scrooge\'s caring sister who represents innocence and love, showcasing a more tender side of Scrooge’s past.""Fan is Scrooge\'s younger sister, who brings joy and the promise of a happier home, reflecting on their childhood relationship.""Fan is Scrooge\'s younger sister, who brings joy and the promise of a happier home, reflecting on their childhood relationship.""Fan is Scrooge\'s younger sister, who brings joy and the promise of a happier home, reflecting on their childhood relationship.""Fan is Scrooge\'s younger sister, who brings joy and the promise of a happier home, reflecting on their childhood relationship.""Fan is Scrooge\'s younger sister, who brings joy and the promise of a happier home, reflecting on their childhood relationship."', 'source_id': 'chunk-c6c248858d1b13ab7ee9ca13c1aeed6bchunk-9e3921da66da5d761ab73cd849af6c43'}> -2024-10-30 06:50:25,128 - lightrag - INFO - get_node:query:MATCH (n:`THE OFFICE`) RETURN n:result:"The Office is Scrooge\'s workplace, signifying his past life and the memories associated with his business dealings.""The Office is Scrooge\'s workplace, signifying his past life and the memories associated with his business dealings.""The Office is Scrooge\'s workplace, signifying his past life and the memories associated with his business dealings.""The Office is Scrooge\'s workplace, signifying his past life and the memories associated with his business dealings.""The Office refers to Scrooge\'s workplace, emphasizing his isolation and the business-focused nature of his life.""The Office refers to the workplace where Scrooge and Bob Cratchit interact, highlighting the power dynamics and work-related tension.""The Office refers to Scrooge\'s workplace, emphasizing his isolation and the business-focused nature of his life.""The Office refers to the workplace where Scrooge and Bob Cratchit interact, highlighting the power dynamics and work-related tension.""The Office refers to Scrooge\'s workplace, emphasizing his isolation and the business-focused nature of his life.""The Office refers to the workplace where Scrooge and Bob Cratchit interact, highlighting the power dynamics and work-related tension.""The Office refers to Scrooge\'s workplace, emphasizing his isolation and the business-focused nature of his life.""The Office refers to the workplace where Scrooge and Bob Cratchit interact, highlighting the power dynamics and work-related tension.""The Office refers to Scrooge\'s workplace, emphasizing his isolation and the business-focused nature of his life.""The Office refers to the workplace where Scrooge and Bob Cratchit interact, highlighting the power dynamics and work-related tension."', 'source_id': 'chunk-da2472b4ef2a535b62908f14d0fb0ca9chunk-91572b3cd42786ba4cb2f180ca25cbf4chunk-94bea83e7153fc2064aa382b494936a1'}> -2024-10-30 06:50:25,215 - lightrag - INFO - get_node:query:MATCH (n:`HOLLY`) RETURN n:result:"Holly is a plant associated with Christmas, mentioned among other decorations that contribute to the festive atmosphere.""Holly is a symbol held by The Ghost, representing peace and goodwill, contrasting with the cold wintry atmosphere around Scrooge.""Holly is mentioned as part of the traditional decorations associated with Christmas, symbolizing festivity.""Holly represents a traditional decoration associated with Christmas, symbolizing festivity and the presence of the Christmas spirit.""Holly is a symbol held by The Ghost, representing peace and goodwill, contrasting with the cold wintry atmosphere around Scrooge.""Holly is mentioned as part of the traditional decorations associated with Christmas, symbolizing festivity.""Holly represents a traditional decoration associated with Christmas, symbolizing festivity and the presence of the Christmas spirit.""Holly is a symbol held by The Ghost, representing peace and goodwill, contrasting with the cold wintry atmosphere around Scrooge.""Holly is mentioned as part of the traditional decorations associated with Christmas, symbolizing festivity.""Holly represents a traditional decoration associated with Christmas, symbolizing festivity and the presence of the Christmas spirit.""Holly is a symbol held by The Ghost, representing peace and goodwill, contrasting with the cold wintry atmosphere around Scrooge.""Holly is mentioned as part of the traditional decorations associated with Christmas, symbolizing festivity.""Holly represents a traditional decoration associated with Christmas, symbolizing festivity and the presence of the Christmas spirit.""Holly is a symbol held by The Ghost, representing peace and goodwill, contrasting with the cold wintry atmosphere around Scrooge.""Holly is mentioned as part of the traditional decorations associated with Christmas, symbolizing festivity.""Holly represents a traditional decoration associated with Christmas, symbolizing festivity and the presence of the Christmas spirit."', 'source_id': 'chunk-c7b10789a9cb0af6c553730b29bd9034chunk-99b0ec7f7e006561352b5d65e849611dchunk-843b5b2f944c7413d9ca876e2e2f151f'}> -2024-10-30 06:50:25,303 - lightrag - INFO - get_node:query:MATCH (n:`DICK`) RETURN n:result:"Dick is associated with Scrooge\'s former self, evoking nostalgic memories as Scrooge witnesses the past.""Dick is associated with Scrooge\'s former self, evoking nostalgic memories as Scrooge witnesses the past.""Dick is associated with Scrooge\'s former self, evoking nostalgic memories as Scrooge witnesses the past.""Dick is associated with Scrooge\'s former self, evoking nostalgic memories as Scrooge witnesses the past.""Dick is associated with Scrooge\'s former self, evoking nostalgic memories as Scrooge witnesses the past."', 'source_id': 'chunk-b2f98bc7abb0c67d4c86055c7fd72218'}> -2024-10-30 06:50:25,391 - lightrag - INFO - get_node:query:MATCH (n:`THE GROCERS`) RETURN n:result: -2024-10-30 06:50:25,478 - lightrag - INFO - get_node:query:MATCH (n:`TIM`) RETURN n:result: -2024-10-30 06:50:25,564 - lightrag - INFO - get_node:query:MATCH (n:`GHOST OF CHRISTMAS PAST`) RETURN n:result:"The Ghost of Christmas Past is a supernatural entity that aids Scrooge in reflecting on his past experiences and emotions.""The Ghost of Christmas Past is one of the spirits in A Christmas Carol that shows Scrooge his past, prompting reflection and change.""The Ghost of Christmas Past represents a spirit that guides Scrooge to revisit and reflect on his past experiences and memories.""The Ghost of Christmas Past is one of the spirits in A Christmas Carol that shows Scrooge his past, prompting reflection and change.""The Ghost of Christmas Past represents a spirit that guides Scrooge to revisit and reflect on his past experiences and memories.""The Ghost of Christmas Past is one of the spirits in A Christmas Carol that shows Scrooge his past, prompting reflection and change.""The Ghost of Christmas Past represents a spirit that guides Scrooge to revisit and reflect on his past experiences and memories.""The Ghost of Christmas Past is one of the spirits in A Christmas Carol that shows Scrooge his past, prompting reflection and change.""The Ghost of Christmas Past represents a spirit that guides Scrooge to revisit and reflect on his past experiences and memories.""The Ghost of Christmas Past is one of the spirits in A Christmas Carol that shows Scrooge his past, prompting reflection and change.""The Ghost of Christmas Past represents a spirit that guides Scrooge to revisit and reflect on his past experiences and memories."', 'source_id': 'chunk-9e3921da66da5d761ab73cd849af6c43chunk-bb21d58d36c6306fd8810ddd51c4a971'}> -2024-10-30 06:50:25,650 - lightrag - INFO - get_node:query:MATCH (n:`TURKEYS`) RETURN n:result:"Turkeys represent a common food item associated with the Christmas feast, highlighting the culinary aspects of the celebration.""Turkeys are food items prominently featured in Christmas meals, representing a festive celebration of the holiday.""Turkeys are part of the Christmas feast, symbolizing the abundance and sharing associated with the holiday.""Turkeys are food items prominently featured in Christmas meals, representing a festive celebration of the holiday.""Turkeys are part of the Christmas feast, symbolizing the abundance and sharing associated with the holiday.""Turkeys are food items prominently featured in Christmas meals, representing a festive celebration of the holiday.""Turkeys are part of the Christmas feast, symbolizing the abundance and sharing associated with the holiday.""Turkeys are food items prominently featured in Christmas meals, representing a festive celebration of the holiday.""Turkeys are part of the Christmas feast, symbolizing the abundance and sharing associated with the holiday.""Turkeys are food items prominently featured in Christmas meals, representing a festive celebration of the holiday.""Turkeys are part of the Christmas feast, symbolizing the abundance and sharing associated with the holiday."', 'source_id': 'chunk-99b0ec7f7e006561352b5d65e849611dchunk-843b5b2f944c7413d9ca876e2e2f151f'}> -2024-10-30 06:50:25,738 - lightrag - INFO - get_node:query:MATCH (n:`CHILDREN`) RETURN n:result:"Children represent innocence and joy, often seen as seeking affection and connection with adults like Scrooge.""Children represent innocence and joy, often seen as seeking affection and connection with adults like Scrooge.""Children represent innocence and joy, often seen as seeking affection and connection with adults like Scrooge.""Children represent innocence and joy, often seen as seeking affection and connection with adults like Scrooge.""The Children represent innocence and purity, highlighted as victims of societal neglect and calling for compassion from Scrooge.""The Children represent the joyful, carefree aspects of Scrooge\'s past, embodying happiness and the innocence of youth that he has long forgotten.""The Children represent innocence and the impact of societal neglect, embodied by Ignorance and Want as personified by the Spirit.""The Children represent innocence and the impact of societal neglect, embodied by Ignorance and Want as personified by the Spirit.""The Children represent innocence and the impact of societal neglect, embodied by Ignorance and Want as personified by the Spirit.""The Children represent innocence and the impact of societal neglect, embodied by Ignorance and Want as personified by the Spirit.""The Children represent innocence and the impact of societal neglect, embodied by Ignorance and Want as personified by the Spirit."', 'source_id': 'chunk-bb21d58d36c6306fd8810ddd51c4a971chunk-74e2466de2f67fd710ef2f20c0a8d9e0chunk-e7637ff18c5ded77a68cce0a87883fad'}> -2024-10-30 06:50:25,824 - lightrag - INFO - get_node:query:MATCH (n:`DICK WILKINS`) RETURN n:result:"Dick Wilkins is Scrooge\'s fellow apprentice and close companion during his younger years, indicating camaraderie during their apprenticeship.""Dick Wilkins is Scrooge\'s fellow apprentice, associated with Scrooge\'s past and the context of his earlier, more carefree life.""Dick Wilkins is a former apprentice of Scrooge, remembered fondly for his attachment to Scrooge.""Dick Wilkins is Scrooge\'s fellow apprentice, associated with Scrooge\'s past and the context of his earlier, more carefree life.""Dick Wilkins is a former apprentice of Scrooge, remembered fondly for his attachment to Scrooge.""Dick Wilkins is Scrooge\'s fellow apprentice, associated with Scrooge\'s past and the context of his earlier, more carefree life.""Dick Wilkins is a former apprentice of Scrooge, remembered fondly for his attachment to Scrooge.""Dick Wilkins is Scrooge\'s fellow apprentice, associated with Scrooge\'s past and the context of his earlier, more carefree life.""Dick Wilkins is a former apprentice of Scrooge, remembered fondly for his attachment to Scrooge.""Dick Wilkins is Scrooge\'s fellow apprentice, associated with Scrooge\'s past and the context of his earlier, more carefree life.""Dick Wilkins is a former apprentice of Scrooge, remembered fondly for his attachment to Scrooge."', 'source_id': 'chunk-c6c248858d1b13ab7ee9ca13c1aeed6bchunk-8bc1edd983869352d14cf0886a9175a7'}> -2024-10-30 06:50:25,910 - lightrag - INFO - get_node:query:MATCH (n:`SPIRIT`) RETURN n:result:"The Spirit represents a ghostly figure guiding Scrooge through reflections related to a death, illustrating lessons about life and mortality.""The Spirit represents a supernatural being guiding Scrooge through lessons about the consequences of his actions and the future.""The Spirit represents a supernatural entity guiding Scrooge and teaching him lessons about compassion and humanity."The "Spirit" represents a multifaceted supernatural entity that plays a crucial role in guiding Ebenezer Scrooge through profound reflections on his life, death, and human emotions. Central to the narrative is the Spirit\'s embodiment of the essence of Marley, which interacts with Scrooge to highlight themes related to the afterlife and unresolved issues. The Spirit manifests as various figures, most notably the Ghost of Christmas Present, who personifies the themes of generosity, merriment, and the true spirit of the Christmas season.\n\nThroughout Scrooge\'s journey, the Spirit serves as a guide, leading him through memories of his past, reflecting his former self and the influence of time on his character. The entity illustrates important lessons about compassion, social responsibility, and the consequences of his actions, urging Scrooge to confront societal issues and fostering self-awareness.\n\nThe Spirit also emphasizes the somber aspects of life, illustrating lessons about mortality and the inevitability of death, prompting Scrooge to reflect on the implications of his life choices. Overall, the Spirit encapsulates the intersection of compassion, humanity, and the moral lessons inherent in the experience of life, serving as a catalyst for Scrooge\'s transformation and awakening.', 'source_id': 'chunk-e7637ff18c5ded77a68cce0a87883fadchunk-02baee20cc9463dbe08170a8e1043e32chunk-1aa50206d02ed89418f65f97c6441d1cchunk-83ac129dc9b56f84c46760d153d68e93chunk-843b5b2f944c7413d9ca876e2e2f151fchunk-bb21d58d36c6306fd8810ddd51c4a971'}> -2024-10-30 06:50:25,999 - lightrag - INFO - get_node:query:MATCH (n:`GHOST OF CHRISTMAS PRESENT`) RETURN n:result:"The Ghost of Christmas Present is a spirit that reveals to Scrooge the joys and struggles of the present Christmas season, emphasizing generosity and compassion.""The Ghost of Christmas Present is a spirit that represents generosity and joy, playing a pivotal role in teaching Scrooge valuable lessons about kindness and the Christmas spirit.""The Ghost of Christmas Present is a spirit that reveals the current struggles and joys of others, influencing Scrooge\'s perspective.""The Ghost of Christmas Present is a spirit that represents generosity and joy, playing a pivotal role in teaching Scrooge valuable lessons about kindness and the Christmas spirit.""The Ghost of Christmas Present is a spirit that reveals the current struggles and joys of others, influencing Scrooge\'s perspective.""The Ghost of Christmas Present is a spirit that represents generosity and joy, playing a pivotal role in teaching Scrooge valuable lessons about kindness and the Christmas spirit.""The Ghost of Christmas Present is a spirit that reveals the current struggles and joys of others, influencing Scrooge\'s perspective.""The Ghost of Christmas Present is a spirit that represents generosity and joy, playing a pivotal role in teaching Scrooge valuable lessons about kindness and the Christmas spirit.""The Ghost of Christmas Present is a spirit that reveals the current struggles and joys of others, influencing Scrooge\'s perspective.""The Ghost of Christmas Present is a spirit that represents generosity and joy, playing a pivotal role in teaching Scrooge valuable lessons about kindness and the Christmas spirit.""The Ghost of Christmas Present is a spirit that reveals the current struggles and joys of others, influencing Scrooge\'s perspective."', 'source_id': 'chunk-843b5b2f944c7413d9ca876e2e2f151fchunk-9e3921da66da5d761ab73cd849af6c43'}> -2024-10-30 06:50:36,502 - lightrag - INFO - get_edge:query: - MATCH (start:`GHOST`)-[r]->(end:`SCROOGE`) - RETURN properties(r) as edge_properties - LIMIT 1 - :result:{'keywords': '"moral lesson, reflection""reflection, self-discovery""spiritual guidance, transformation"', 'weight': 26.0, 'description': '"Scrooge interacts directly with the Ghost, who aims to teach him about the errors of his ways and the importance of caring for others.""The Ghost guides Scrooge through reflections of his past, influencing his journey toward redemption.""The Ghost takes Scrooge on a journey to teach him lessons about generosity and compassion towards others."', 'source_id': 'chunk-359187e7571bda4b0b08b2e0b6581e52chunk-c6c248858d1b13ab7ee9ca13c1aeed6bchunk-e7637ff18c5ded77a68cce0a87883fad'} -2024-10-30 06:50:36,594 - lightrag - INFO - get_edge:query: - MATCH (start:`SCROOGE`)-[r]->(end:`THE TURKEY`) - RETURN properties(r) as edge_properties - LIMIT 1 - :result:{'keywords': '"generosity, celebration"', 'weight': 7.0, 'description': '"Scrooge expresses joy and excitement about the turkey he plans to send, highlighting his generous transformation."', 'source_id': 'chunk-8f738cb25d60a7dab782162d9d0a25ed'} -2024-10-30 06:50:36,690 - lightrag - INFO - get_edge:query: - MATCH (start:`SCROOGE`)-[r]->(end:`THE PRESENT`) - RETURN properties(r) as edge_properties - LIMIT 1 - :result:{'keywords': '"change, awareness"', 'weight': 9.0, 'description': '"Scrooge emphasizes the importance of living fully in The Present to change his fate going forward."', 'source_id': 'chunk-91572b3cd42786ba4cb2f180ca25cbf4'} -2024-10-30 06:50:36,785 - lightrag - INFO - get_edge:query: - MATCH (start:`LITTLE FAN`)-[r]->(end:`SCROOGE`) - RETURN properties(r) as edge_properties - LIMIT 1 - :result:{'keywords': '"family, nostalgia"', 'weight': 9.0, 'description': '"Little Fan\'s joyful visit emphasizes family love and the nostalgic warmth of childhood memories for Scrooge."', 'source_id': 'chunk-c6c248858d1b13ab7ee9ca13c1aeed6b'} -2024-10-30 06:50:36,886 - lightrag - INFO - get_edge:query: - MATCH (start:`ALMSHOUSE`)-[r]->(end:`SPIRIT`) - RETURN properties(r) as edge_properties - LIMIT 1 - :result:{'keywords': '"social critique, awareness"', 'weight': 9.0, 'description': '"The Spirit shows Scrooge the Almshouse to illustrate the plight of the poor and the societal neglect present during the holiday season."', 'source_id': 'chunk-e7637ff18c5ded77a68cce0a87883fad'} -2024-10-30 06:50:36,978 - lightrag - INFO - get_edge:query: - MATCH (start:`HOPE`)-[r]->(end:`THE COMELY MATRON`) - RETURN properties(r) as edge_properties - LIMIT 1 - :result:{'keywords': '"hope, family love"', 'weight': 16.0, 'description': '"The Comely Matron represents the hope for a joyful and fulfilling family life, enhancing the themes of love and connection."', 'source_id': 'chunk-54bdd22db1f84a965b5f4c06c9216d8d'} -2024-10-30 06:50:37,069 - lightrag - INFO - get_edge:query: - MATCH (start:`CHRISTMAS`)-[r]->(end:`THE GROCERS`) - RETURN properties(r) as edge_properties - LIMIT 1 - :result:{'keywords': '"community engagement, festive spirit"', 'weight': 9.0, 'description': '"The Grocers contribute to the festive Christmas atmosphere by providing goods and serving eager customers."', 'source_id': 'chunk-99b0ec7f7e006561352b5d65e849611d'} -2024-10-30 06:50:37,161 - lightrag - INFO - get_edge:query: - MATCH (start:`SCROOGE`)-[r]->(end:`THE SPIRITS`) - RETURN properties(r) as edge_properties - LIMIT 1 - :result:{'keywords': '"redemption, guidance"', 'weight': 9.0, 'description': '"The Spirits embody the lessons Scrooge must learn to change his life and embrace kindness."', 'source_id': 'chunk-90b95db5c53e4364a6bee36b7aa4d70f'} -2024-10-30 06:50:37,259 - lightrag - INFO - get_edge:query: - MATCH (start:`BOB CRATCHIT`)-[r]->(end:`TINY TIM`) - RETURN properties(r) as edge_properties - LIMIT 1 - :result:{'keywords': '"family bond, care""family bond, father-son relationship""family bond, love""family love, vulnerability""family, care""family, caregiving""family, love struggles""family, struggle""family, support""father-son bond, care""father-son relationship, care""parental love, sorrow""parenting, hope"', 'weight': 119.0, 'description': '"Bob Cratchit deeply cares for Tiny Tim, demonstrating emotional support and love, especially in moments of distress.""Bob Cratchit expresses love and concern for his son Tiny Tim during the Christmas dinner, highlighting a strong familial bond.""Bob Cratchit is Tiny Tim\'s father, and the turkey Scrooge plans to send will impact Tiny Tim\'s well-being.""Bob Cratchit is Tiny Tim\'s father, and their relationship highlights the theme of family struggle and love, especially during Christmas.""Bob Cratchit shows deep care for Tiny Tim, helping him and expressing pride in his strength and character despite challenges.""Bob Cratchit\'s concern for Tiny Tim illustrates the deep familial love and the challenges facing the Cratchit family.""Bob Cratchit is a father figure to Tiny Tim, who carries both hope and concern for his child\'s future health and well-being.""Bob Cratchit is the father of Tiny Tim, showcasing familial love and challenges faced by the Cratchit family.""Bob Cratchit is the father of Tiny Tim, showing the importance of family dynamics and care in their lives.""Bob Cratchit shows affection for Tiny Tim, often expressing concern for his health and trying to keep him close during the Christmas celebration.""Bob Cratchit shows deep care for Tiny Tim, supporting him and expressing pride in his resilience, especially regarding Tiny Tim\'s reflective thoughts on Christmas.""Bob Cratchit shows deep concern and love for his son, Tiny Tim, highlighting the family dynamics and attachment in their household.""Bob Cratchit shows deep love and sorrow for Tiny Tim, reflecting a father\'s bond with his child.""Bob is the father of Tiny Tim, who requires support and care, emphasizing themes of family and responsibility."', 'source_id': 'chunk-90b95db5c53e4364a6bee36b7aa4d70fchunk-503f0bfa5453467c7c61d160a3540ecachunk-91572b3cd42786ba4cb2f180ca25cbf4chunk-9e3921da66da5d761ab73cd849af6c43chunk-94bea83e7153fc2064aa382b494936a1chunk-83ac129dc9b56f84c46760d153d68e93chunk-7e2e7ebcc19a53b399dc03aded4743e7chunk-1d4b58de5429cd1261370c231c8673e8'} -2024-10-30 06:50:37,354 - lightrag - INFO - get_edge:query: - MATCH (start:`GHOST OF CHRISTMAS PAST`)-[r]->(end:`SCROOGE`) - RETURN properties(r) as edge_properties - LIMIT 1 - :result:{'keywords': '"reflection, guidance""reflection, past influence""reflection, transformation"', 'weight': 25.0, 'description': '"Scrooge engages with the Ghost of Christmas Past to explore and reflect on his life and choices.""Scrooge engages with the Ghost of Christmas Past to explore his earlier life, seeking insight into his current state.""The Ghost of Christmas Past shows Scrooge experiences from his life that prompt his transformation."', 'source_id': 'chunk-9e3921da66da5d761ab73cd849af6c43chunk-bb21d58d36c6306fd8810ddd51c4a971'} -2024-10-30 06:50:37,448 - lightrag - INFO - get_edge:query: - MATCH (start:`CHRISTMAS`)-[r]->(end:`THE MANSION HOUSE`) - RETURN properties(r) as edge_properties - LIMIT 1 - :result:{'keywords': '"festivities, governance"', 'weight': 7.0, 'description': '"The Mansion House is referenced in the context of Christmas celebrations, illustrating its role in festive festivities and governance."', 'source_id': 'chunk-90d5764e301321c087f5a8f78b73a145'} -2024-10-30 06:50:37,541 - lightrag - INFO - get_edge:query: - MATCH (start:`GRAVE`)-[r]->(end:`SCROOGE`) - RETURN properties(r) as edge_properties - LIMIT 1 - :result:{'keywords': '"mortality, reflection"', 'weight': 20.0, 'description': '"Scrooge is confronted with his own grave, symbolizing the ultimate outcome of his current lifestyle and actions."', 'source_id': 'chunk-91572b3cd42786ba4cb2f180ca25cbf4'} -2024-10-30 06:50:37,636 - lightrag - INFO - get_edge:query: - MATCH (start:`MARLEY`)-[r]->(end:`SCROOGE AND MARLEY'S`) - RETURN properties(r) as edge_properties - LIMIT 1 - :result:{'keywords': '"partnership, legacy"', 'weight': 12.0, 'description': '"Scrooge and Marley\'s is the business associated with Marley, emphasizing its history and the weight of Marley\'s legacy in shaping Scrooge\'s character."', 'source_id': 'chunk-5dac41b3f9eeaf794f0147400b1718cd'} -2024-10-30 06:50:37,732 - lightrag - INFO - get_edge:query: - MATCH (start:`SCROOGE`)-[r]->(end:`THE GRATE`) - RETURN properties(r) as edge_properties - LIMIT 1 - :result:{'keywords': '"coldness, minimalism""isolation, setting mood"', 'weight': 12.0, 'description': '"Scrooge\'s small fire in The Grate represents his need for warmth and symbolizes his cold heart initially showing longing for comfort.""The Grate\'s cold fire adds to the bleak setting of Scrooge\'s home, illustrating his disconnection from warmth and comfort before the supernatural events unfold."', 'source_id': 'chunk-9c43dac2fcd5b578242d907ea6f8fc7b'} -2024-10-30 06:50:37,824 - lightrag - INFO - get_edge:query: - MATCH (start:`SCROOGE`)-[r]->(end:`THE DYING FLAME`) - RETURN properties(r) as edge_properties - LIMIT 1 - :result:{'keywords': '"fear, conflict"', 'weight': 16.0, 'description': '"The Dying Flame\'s flickering is reflective of Scrooge\'s fear and mental state in the presence of the ghost, amplifying his internal conflict."', 'source_id': 'chunk-9c43dac2fcd5b578242d907ea6f8fc7b'} -2024-10-30 06:50:37,918 - lightrag - INFO - get_edge:query: - MATCH (start:`CAROLINE`)-[r]->(end:`THE HUSBAND`) - RETURN properties(r) as edge_properties - LIMIT 1 - :result:{'keywords': '"communication, emotional burden"', 'weight': 14.0, 'description': '"The Husband and Caroline\'s conversation illustrates the tension between optimism and the reality of their situation after receiving distressing news."', 'source_id': 'chunk-83ac129dc9b56f84c46760d153d68e93'} -2024-10-30 06:50:38,009 - lightrag - INFO - get_edge:query: - MATCH (start:`CHRISTMAS EVES`)-[r]->(end:`SCROOGE`) - RETURN properties(r) as edge_properties - LIMIT 1 - :result:{'keywords': '"time of reflection, redemption"', 'weight': 14.0, 'description': '"Christmas Eves symbolize a critical time for self-reflection and understanding one\'s past decisions, linking to Scrooge\'s journey of redemption."', 'source_id': 'chunk-359187e7571bda4b0b08b2e0b6581e52'} -2024-10-30 06:50:38,098 - lightrag - INFO - get_edge:query: - MATCH (start:`BOB CRATCHIT`)-[r]->(end:`THE CRATCHIT HOUSEHOLD`) - RETURN properties(r) as edge_properties - LIMIT 1 - :result:{'keywords': '"family, support"', 'weight': 16.0, 'description': '"Bob Cratchit leads his family, representing resilience and love in the face of hardship, which is celebrated by the Spirit."', 'source_id': 'chunk-b0f459f5af1c3a5e0b92cbe4ee48b77b'} -2024-10-30 06:50:38,190 - lightrag - INFO - get_edge:query: - MATCH (start:`BOB CRATCHIT`)-[r]->(end:`SPIRIT OF CHRISTMAS PRESENT`) - RETURN properties(r) as edge_properties - LIMIT 1 - :result:{'keywords': '"blessing, compassion"', 'weight': 18.0, 'description': '"The Spirit blesses Bob Cratchit’s dwelling, symbolizing the recognition of the Cratchit family\'s struggles and joys on Christmas Day."', 'source_id': 'chunk-b0f459f5af1c3a5e0b92cbe4ee48b77b'} -2024-10-30 06:50:38,280 - lightrag - INFO - get_edge:query: - MATCH (start:`THE CANDLE`)-[r]->(end:`THE FOG AND FROST`) - RETURN properties(r) as edge_properties - LIMIT 1 - :result:{'keywords': '"hope, contrast"', 'weight': 12.0, 'description': '"The Candle symbolizes a flicker of warmth and hope in the bleak setting of Fog and Frost, contrasting the overall atmosphere."', 'source_id': 'chunk-d9aac3484185ac66045df92214d245d5'} -2024-10-30 06:50:38,377 - lightrag - INFO - get_edge:query: - MATCH (start:`CHRISTMAS`)-[r]->(end:`THE GHOST`) - RETURN properties(r) as edge_properties - LIMIT 1 - :result:{'keywords': '"spiritual guide, thematic connection"', 'weight': 8.0, 'description': '"The Ghosts represent the essence of Christmas, highlighting the themes of generosity and change during this festive time."', 'source_id': 'chunk-02baee20cc9463dbe08170a8e1043e32'} -2024-10-30 06:50:38,475 - lightrag - INFO - get_edge:query: - MATCH (start:`BOB`)-[r]->(end:`SCROOGE`) - RETURN properties(r) as edge_properties - LIMIT 1 - :result:{'keywords': '"humor, generosity"', 'weight': 6.0, 'description': '"Scrooge makes a humorous comment about sending a large turkey to Bob, indicating a lighthearted relationship."', 'source_id': 'chunk-8f738cb25d60a7dab782162d9d0a25ed'} -2024-10-30 06:50:38,573 - lightrag - INFO - get_edge:query: - MATCH (start:`FEZZIWIG`)-[r]->(end:`SCROOGE`) - RETURN properties(r) as edge_properties - LIMIT 1 - :result:{'keywords': '"contrast, character foil""kindness, mentorship""mentor figure, positive influence""nostalgia, contrast""reflection, influence"', 'weight': 43.0, 'description': '"Fezziwig is a significant figure in Scrooge\'s past, illustrating a contrast between Scrooge\'s current miserly demeanor and Fezziwig\'s jovial nature.""Fezziwig represents the joyful side of business and celebration, contrasting with Scrooge\'s miserly nature and serving as a foil to Scrooge\'s character development.""Scrooge reflects positively on Fezziwig\'s past actions, acknowledging the happiness and gratitude he inspired in people.""Scrooge reminisces about Fezziwig\'s kindness during his apprenticeship, comparing his past self to his current state.""Scrooge reminisces about Fezziwig\'s ball, reflecting on the contrast between his past happiness and present isolation."', 'source_id': 'chunk-b2f98bc7abb0c67d4c86055c7fd72218chunk-c6c248858d1b13ab7ee9ca13c1aeed6bchunk-89777b838d5447c7bd1ec11282c4ee89'} -2024-10-30 06:50:38,668 - lightrag - INFO - get_edge:query: - MATCH (start:`GHOST OF CHRISTMAS PRESENT`)-[r]->(end:`SCROOGE`) - RETURN properties(r) as edge_properties - LIMIT 1 - :result:{'keywords': '"awareness, compassion""transformation, guidance""transformation, mentoring"', 'weight': 27.0, 'description': '"Scrooge interacts directly with the Ghost of Christmas Present, who guides him in understanding the importance of generosity and joy during Christmas.""Scrooge is led by the Ghost of Christmas Present, who teaches him valuable lessons about generosity and compassion.""The Ghost of Christmas Present reveals the realities of others\' lives, influencing Scrooge\'s understanding of generosity and compassion."', 'source_id': 'chunk-843b5b2f944c7413d9ca876e2e2f151fchunk-9e3921da66da5d761ab73cd849af6c43'} -2024-10-30 06:50:38,760 - lightrag - INFO - get_edge:query: - MATCH (start:`SCROOGE`)-[r]->(end:`SPIRIT`) - RETURN properties(r) as edge_properties - LIMIT 1 - :result:{'keywords': '"guidance, emotional journey""guidance, personal growth""guidance, reflection""guidance, transformation""personal growth, spiritual journey""reflection, guidance""transformation, mentorship"', 'weight': 74.0, 'description': '"Scrooge engages with the Spirit, who guides him through reflections on his life and warns him of societal issues.""Scrooge learns from the Spirit about the consequences of his actions and the sentiments evoked by death, leading to personal growth.""Scrooge’s interaction with the Spirit emphasizes the emotional weight of his past decisions and feelings as they relate to his transformation.""The Spirit directly influences Scrooge’s transformation and highlights the importance of compassion in human life.""Scrooge interacts with the Spirit, who has come to teach him about the meaning of Christmas and share lessons of generosity.""Scrooge is guided by the Spirit to reflect on the impact of death, learning important lessons about life and legacy.""Scrooge is guided by the Spirit, who prompts him to reflect on his life and its consequences.""Scrooge\'s interactions with the Spirit serve to illuminate his past and its influence on his current self.""The Spirit serves as a guide for Scrooge, showing him visions that lead to his personal transformation and moral awakening."', 'source_id': 'chunk-e7637ff18c5ded77a68cce0a87883fadchunk-02baee20cc9463dbe08170a8e1043e32chunk-83ac129dc9b56f84c46760d153d68e93chunk-843b5b2f944c7413d9ca876e2e2f151fchunk-bb21d58d36c6306fd8810ddd51c4a971'} -2024-10-30 06:50:38,851 - lightrag - INFO - get_edge:query: - MATCH (start:`SCROOGE`)-[r]->(end:`THE BOY`) - RETURN properties(r) as edge_properties - LIMIT 1 - :result:{'keywords': '"generosity, kindness""innocence, dialogue"', 'weight': 15.0, 'description': '"Scrooge interacts with The Boy to deliver the turkey, showing a newfound generosity and connection to others.""The Boy engages in a conversation with Scrooge, representing innocence and serving as a link to Scrooge\'s act of kindness."', 'source_id': 'chunk-8f738cb25d60a7dab782162d9d0a25edchunk-90b95db5c53e4364a6bee36b7aa4d70f'} -2024-10-30 06:50:38,943 - lightrag - INFO - get_edge:query: - MATCH (start:`SCROOGE`)-[r]->(end:`THE GHOST`) - RETURN properties(r) as edge_properties - LIMIT 1 - :result:{'keywords': '"guidance, emotional exploration""guidance, transformation""memory, influence""rebuke, self-discovery""reflection, guidance""self-reflection, transformation""supernatural encounter, confusion""supernatural guidance, transformation""supernatural interaction, past actions"', 'weight': 78.0, 'description': '"Scrooge interacts with The Ghost of Jacob Marley, which highlights his struggle with the supernatural and his past actions.""Scrooge\'s engagement with The Ghost prompts a significant emotional and psychological transformation as he confronts his past.""The Ghost guides Scrooge through visions of his past, forcing him to confront his choices and their consequences.""The Ghost influences Scrooge\'s reflections on his past and his current emotions regarding Christmas festivities.""The Ghost serves as a catalyst for Scrooge\'s reflections, guiding him to confront his past and feelings about Christmas.""Scrooge\'s interaction with The Ghost leads to significant inner turmoil and contemplation about dreams and reality.""The Ghost influences Scrooge\'s journey by revealing his past, driving the narrative of his redemption.""The Ghost interacts with Scrooge, revealing truths that challenge his perspective on life and death.""The Ghost prompts Scrooge to remember significant moments, driving his emotional exploration of the past."', 'source_id': 'chunk-c7b10789a9cb0af6c553730b29bd9034chunk-43c9bee23adfa77aa9dedd22401bba7dchunk-da2472b4ef2a535b62908f14d0fb0ca9chunk-cb661c37436355ccec2769b1d0350c5fchunk-54bdd22db1f84a965b5f4c06c9216d8dchunk-8590d9263cd2cd4fa583c432fc54e6c3chunk-83ac129dc9b56f84c46760d153d68e93'} -2024-10-30 06:50:39,038 - lightrag - INFO - get_edge:query: - MATCH (start:`THE CRATCHIT FAMILY`)-[r]->(end:`TINY TIM`) - RETURN properties(r) as edge_properties - LIMIT 1 - :result:{'keywords': '"family unity, hope"', 'weight': 18.0, 'description': '"Tiny Tim is an integral part of the Cratchit family, embodying their hopes and joys during the Christmas festivities."', 'source_id': 'chunk-19d72c57ae3408758b18d2568e86dc6b'} -2024-10-30 06:50:39,130 - lightrag - INFO - get_edge:query: - MATCH (start:`SCROOGE`)-[r]->(end:`THE GHOST OF CHRISTMAS PAST`) - RETURN properties(r) as edge_properties - LIMIT 1 - :result:{'keywords': '"introspection, memory""reflection, guidance""self-reflection, guidance"', 'weight': 28.0, 'description': '"Scrooge\'s interaction with the Ghost of Christmas Past highlights his journey of self-reflection and struggle with his past decisions.""The Ghost of Christmas Past guides Scrooge through recollections, prompting his introspection about his former self and choices.""The Ghost of Christmas Past helps Scrooge reflect on his past choices, which is crucial for his transformation."', 'source_id': 'chunk-b2f98bc7abb0c67d4c86055c7fd72218chunk-90b95db5c53e4364a6bee36b7aa4d70f'} -2024-10-30 06:50:39,222 - lightrag - INFO - get_edge:query: - MATCH (start:`HAPPINESS`)-[r]->(end:`THE BEAUTIFUL YOUNG GIRL`) - RETURN properties(r) as edge_properties - LIMIT 1 - :result:{'keywords': '"lost happiness, longing"', 'weight': 14.0, 'description': '"The Beautiful Young Girl embodies the happiness that Scrooge once sought and now feels he has lost."', 'source_id': 'chunk-54bdd22db1f84a965b5f4c06c9216d8d'} -2024-10-30 06:50:39,316 - lightrag - INFO - get_edge:query: - MATCH (start:`EBENEZER SCROOGE`)-[r]->(end:`TINY TIM`) - RETURN properties(r) as edge_properties - LIMIT 1 - :result:{'keywords': '"redemption, compassion"', 'weight': 9.0, 'description': '"Ebenezer Scrooge, through his interactions with Tiny Tim, learns about compassion and the importance of family and community."', 'source_id': 'chunk-9e3921da66da5d761ab73cd849af6c43'} -2024-10-30 06:50:39,415 - lightrag - INFO - get_edge:query: - MATCH (start:`SCROOGE`)-[r]->(end:`THE GENTLEMEN`) - RETURN properties(r) as edge_properties - LIMIT 1 - :result:{'keywords': '"charity, social responsibility"', 'weight': 16.0, 'description': '"The Gentlemen approach Scrooge about donations for the poor, representing a charitable campaign that he strongly resists."', 'source_id': 'chunk-5dac41b3f9eeaf794f0147400b1718cd'} -2024-10-30 06:50:39,508 - lightrag - INFO - get_edge:query: - MATCH (start:`SCROOGE`)-[r]->(end:`THE PHANTOM VOICES`) - RETURN properties(r) as edge_properties - LIMIT 1 - :result:{'keywords': '"regret, lost opportunities"', 'weight': 12.0, 'description': '"Scrooge hears the lamentations of The Phantom Voices, reflecting his connection to the spirits of the lost and the consequences of his life choices."', 'source_id': 'chunk-cb661c37436355ccec2769b1d0350c5f'} -2024-10-30 06:50:39,601 - lightrag - INFO - get_edge:query: - MATCH (start:`DICK WILKINS`)-[r]->(end:`SCROOGE`) - RETURN properties(r) as edge_properties - LIMIT 1 - :result:{'keywords': '"friendship, apprenticeship""shared history, transformation"', 'weight': 14.0, 'description': '"Scrooge and Dick Wilkins share memories of their apprenticeship, highlighting Scrooge\'s transformation from a young man to his current state.""Scrooge recalls his friendship with Dick Wilkins, highlighting the connections of youth and support during their apprenticeship."', 'source_id': 'chunk-c6c248858d1b13ab7ee9ca13c1aeed6b'} -2024-10-30 06:50:39,694 - lightrag - INFO - get_edge:query: - MATCH (start:`DINNER`)-[r]->(end:`SCROOGE'S NEPHEW`) - RETURN properties(r) as edge_properties - LIMIT 1 - :result:{'keywords': '"family, celebration"', 'weight': 18.0, 'description': '"Scrooge\'s Nephew emphasizes the pleasure of sharing Dinner with loved ones, highlighting the importance of family connections during holiday gatherings."', 'source_id': 'chunk-773d0df1dd25c356f7b771d780583e09'} -2024-10-30 06:50:39,790 - lightrag - INFO - get_edge:query: - MATCH (start:`BOB CRATCHIT`)-[r]->(end:`MASTER PETER`) - RETURN properties(r) as edge_properties - LIMIT 1 - :result:{'keywords': '"aspiration, family support"', 'weight': 6.0, 'description': '"Bob Cratchit is considering job opportunities for Master Peter, reflecting the family\'s aspirations and hopes for betterment."', 'source_id': 'chunk-19d72c57ae3408758b18d2568e86dc6b'} -2024-10-30 06:50:39,885 - lightrag - INFO - get_edge:query: - MATCH (start:`SCROOGE`)-[r]->(end:`THE FUNERAL`) - RETURN properties(r) as edge_properties - LIMIT 1 - :result:{'keywords': '"business, emotional detachment"', 'weight': 7.0, 'description': '"Scrooge treats The Funeral as a business transaction, showing his cold approach to personal loss and death."', 'source_id': 'chunk-89777b838d5447c7bd1ec11282c4ee89'} -2024-10-30 06:50:39,980 - lightrag - INFO - get_edge:query: - MATCH (start:`SCROOGE`)-[r]->(end:`STREET`) - RETURN properties(r) as edge_properties - LIMIT 1 - :result:{'keywords': '"observation, societal critique"', 'weight': 7.0, 'description': '"Scrooge observes the Street\'s inhabitants and their interactions, reflecting on his own status and societal detachment."', 'source_id': 'chunk-f1a4fbcf1ed86864b9bfd5e8dba4c683'} -2024-10-30 06:50:40,072 - lightrag - INFO - get_edge:query: - MATCH (start:`SCROOGE`)-[r]->(end:`THE GRAVE`) - RETURN properties(r) as edge_properties - LIMIT 1 - :result:{'keywords': '"mortality, urgency"', 'weight': 8.0, 'description': '"Scrooge’s need to confront his own grave signifies the urgency to change his life before it is too late."', 'source_id': 'chunk-91572b3cd42786ba4cb2f180ca25cbf4'} -2024-10-30 06:50:40,164 - lightrag - INFO - get_edge:query: - MATCH (start:`JOE`)-[r]->(end:`THE DECEASED`) - RETURN properties(r) as edge_properties - LIMIT 1 - :result:{'keywords': '"materialism, death"', 'weight': 5.0, 'description': '"Joe discusses the belongings and implications of The Deceased\'s life, indicating a financial and material relationship with the dead."', 'source_id': 'chunk-e1f29eeadc1d8ab46dc8a0bbd3c56b64'} -2024-10-30 06:50:40,258 - lightrag - INFO - get_edge:query: - MATCH (start:`CHRISTMAS`)-[r]->(end:`TINY TIM`) - RETURN properties(r) as edge_properties - LIMIT 1 - :result:{'keywords': '"innocence, holiday spirit"', 'weight': 18.0, 'description': '"Tiny Tim represents the spirit of Christmas, being cherished by family during this festive occasion."', 'source_id': 'chunk-1d4b58de5429cd1261370c231c8673e8'} -2024-10-30 06:50:40,351 - lightrag - INFO - get_edge:query: - MATCH (start:`IGNORANCE`)-[r]->(end:`SCROOGE`) - RETURN properties(r) as edge_properties - LIMIT 1 - :result:{'keywords': '"social awareness, warning"', 'weight': 9.0, 'description': '"Scrooge is warned about the dangers posed by Ignorance, which embodies significant societal issues he has ignored."', 'source_id': 'chunk-02baee20cc9463dbe08170a8e1043e32'} -2024-10-30 06:50:40,446 - lightrag - INFO - get_edge:query: - MATCH (start:`MANKIND`)-[r]->(end:`SCROOGE`) - RETURN properties(r) as edge_properties - LIMIT 1 - :result:{'keywords': '"moral responsibility, social awareness"', 'weight': 7.0, 'description': '"Scrooge\'s actions and neglect of mankind are highlighted in Marley\'s admonitions, emphasizing the need for connection and care for others."', 'source_id': 'chunk-359187e7571bda4b0b08b2e0b6581e52'} -2024-10-30 06:50:40,541 - lightrag - INFO - get_edge:query: - MATCH (start:`GAOL`)-[r]->(end:`SPIRIT`) - RETURN properties(r) as edge_properties - LIMIT 1 - :result:{'keywords': '"empowerment, societal change"', 'weight': 8.0, 'description': '"The Gaol represents the consequences of societal indifference, highlighted by the Spirit to show the need for empathy and reform."', 'source_id': 'chunk-e7637ff18c5ded77a68cce0a87883fad'} -2024-10-30 06:50:40,637 - lightrag - INFO - get_edge:query: - MATCH (start:`THE FIRE`)-[r]->(end:`TINY TIM`) - RETURN properties(r) as edge_properties - LIMIT 1 - :result:{'keywords': '"warmth, family support"', 'weight': 16.0, 'description': '"Tiny Tim is seen being supported by the family at the warmth of the Fire, which adds comfort and cheer to their gathering."', 'source_id': 'chunk-7e2e7ebcc19a53b399dc03aded4743e7'} -2024-10-30 06:50:40,732 - lightrag - INFO - get_edge:query: - MATCH (start:`ORSON`)-[r]->(end:`SCROOGE`) - RETURN properties(r) as edge_properties - LIMIT 1 - :result:{'keywords': '"family memories, nostalgia"', 'weight': 6.0, 'description': '"Same as above, Orson is part of Scrooge\'s memories of his brothers during Christmas time, emphasizing themes of togetherness and nostalgia."', 'source_id': 'chunk-8590d9263cd2cd4fa583c432fc54e6c3'} -2024-10-30 06:50:40,828 - lightrag - INFO - get_edge:query: - MATCH (start:`BELLE`)-[r]->(end:`SCROOGE`) - RETURN properties(r) as edge_properties - LIMIT 1 - :result:{'keywords': '"lost love, regret""nostalgia, lost love"', 'weight': 16.0, 'description': '"Scrooge reflects on his lost relationship with Belle, highlighting his feelings of regret and emotional pain.""Scrooge reminisces about Belle and the love they shared, indicating a lost connection and regret."', 'source_id': 'chunk-da2472b4ef2a535b62908f14d0fb0ca9'} -2024-10-30 06:50:40,923 - lightrag - INFO - get_edge:query: - MATCH (start:`COURT`)-[r]->(end:`SCROOGE`) - RETURN properties(r) as edge_properties - LIMIT 1 - :result:{'keywords': '"social contrast, isolation"', 'weight': 14.0, 'description': '"The court serves as a contrasting backdrop to Scrooge’s private space, where social warmth and interaction occur, which he actively avoids."', 'source_id': 'chunk-74e2466de2f67fd710ef2f20c0a8d9e0'} -2024-10-30 06:50:41,016 - lightrag - INFO - get_edge:query: - MATCH (start:`SCROOGE`)-[r]->(end:`THE CORPSE`) - RETURN properties(r) as edge_properties - LIMIT 1 - :result:{'keywords': '"introspection, life choices"', 'weight': 18.0, 'description': '"Scrooge’s horror upon seeing The Corpse prompts deep reflection on his own life choices and morality."', 'source_id': 'chunk-e1f29eeadc1d8ab46dc8a0bbd3c56b64'} -2024-10-30 06:50:41,108 - lightrag - INFO - get_edge:query: - MATCH (start:`CHRISTMAS`)-[r]->(end:`SPANISH ONIONS`) - RETURN properties(r) as edge_properties - LIMIT 1 - :result:{'keywords': '"culinary tradition, seasonal offerings"', 'weight': 7.0, 'description': '"Spanish Onions are part of the seasonal offerings that contribute to the culinary landscape of Christmas."', 'source_id': 'chunk-99b0ec7f7e006561352b5d65e849611d'} -2024-10-30 06:50:41,201 - lightrag - INFO - get_edge:query: - MATCH (start:`CHURCH`)-[r]->(end:`SCROOGE`) - RETURN properties(r) as edge_properties - LIMIT 1 - :result:{'keywords': '"community, contrast"', 'weight': 16.0, 'description': '"The church symbolizes the community and settings of Scrooge\'s past, highlighting the contrast between then and now."', 'source_id': 'chunk-bb21d58d36c6306fd8810ddd51c4a971'} -2024-10-30 06:50:41,299 - lightrag - INFO - get_edge:query: - MATCH (start:`CRATCHIT FAMILY`)-[r]->(end:`MASTER PETER CRATCHIT`) - RETURN properties(r) as edge_properties - LIMIT 1 - :result:{'keywords': '"family participation, joy"', 'weight': 8.0, 'description': '"Master Peter Cratchit is a part of the Cratchit family and contributes to their joyful Christmas celebration with enthusiasm."', 'source_id': 'chunk-7e2e7ebcc19a53b399dc03aded4743e7'} -2024-10-30 06:50:41,393 - lightrag - INFO - get_edge:query: - MATCH (start:`SCROOGE`)-[r]->(end:`THE GHOST OF MARLEY`) - RETURN properties(r) as edge_properties - LIMIT 1 - :result:{'keywords': '"redemption, moral reflection""supernatural, moral reckoning"', 'weight': 19.0, 'description': '"The Ghost of Marley serves as a direct reminder of Scrooge\'s past decisions, urging him towards change and redemption.""The Ghost of Marley symbolizes Scrooge\'s past mistakes and serves as a catalyst for his transformation."', 'source_id': 'chunk-d9aac3484185ac66045df92214d245d5'} -2024-10-30 06:50:41,491 - lightrag - INFO - get_edge:query: - MATCH (start:`CRATCHIT CHRISTMAS DINNER`)-[r]->(end:`CRATCHIT FAMILY`) - RETURN properties(r) as edge_properties - LIMIT 1 - :result:{'keywords': '"family celebration, togetherness"', 'weight': 20.0, 'description': '"The Cratchit Family comes together to celebrate Christmas dinner, encapsulating their unity and joyful spirit during the holiday season."', 'source_id': 'chunk-7e2e7ebcc19a53b399dc03aded4743e7'} -2024-10-30 06:50:41,587 - lightrag - INFO - get_edge:query: - MATCH (start:`THE CHILDREN`)-[r]->(end:`THE MOTHER`) - RETURN properties(r) as edge_properties - LIMIT 1 - :result:{'keywords': '"family care, joy"', 'weight': 14.0, 'description': '"The Mother facilitates the family celebrations, ensuring that her children experience joy during Christmas."', 'source_id': 'chunk-da2472b4ef2a535b62908f14d0fb0ca9'} -2024-10-30 06:50:41,687 - lightrag - INFO - get_edge:query: - MATCH (start:`CRATCHIT FAMILY`)-[r]->(end:`THE SPIRIT`) - RETURN properties(r) as edge_properties - LIMIT 1 - :result:{'keywords': '"holiday spirit, influence"', 'weight': 18.0, 'description': '"The Spirit influences the Christmas gathering of the Cratchit family by promoting joy and generosity, impacting their celebration."', 'source_id': 'chunk-19d72c57ae3408758b18d2568e86dc6b'} -2024-10-30 06:50:41,782 - lightrag - INFO - get_edge:query: - MATCH (start:`SCHOOL`)-[r]->(end:`SPIRIT`) - RETURN properties(r) as edge_properties - LIMIT 1 - :result:{'keywords': '"reflection, nostalgia"', 'weight': 6.0, 'description': '"The Spirit leads Scrooge to the School, invoking memories of solitary times that deeply impact his emotional state."', 'source_id': 'chunk-bb21d58d36c6306fd8810ddd51c4a971'} -2024-10-30 06:50:41,877 - lightrag - INFO - get_edge:query: - MATCH (start:`CRATCHIT FAMILY`)-[r]->(end:`THE GOOSE`) - RETURN properties(r) as edge_properties - LIMIT 1 - :result:{'keywords': '"symbol of abundance, celebration"', 'weight': 10.0, 'description': '"The Goose represents the festive meal that the Cratchit family cherishes during their Christmas gathering, enhancing their celebration."', 'source_id': 'chunk-7e2e7ebcc19a53b399dc03aded4743e7'} -2024-10-30 06:50:41,975 - lightrag - INFO - get_edge:query: - MATCH (start:`CHRISTMAS`)-[r]->(end:`MISTLETOE`) - RETURN properties(r) as edge_properties - LIMIT 1 - :result:{'keywords': '"festive symbols, joy"', 'weight': 7.0, 'description': '"Mistletoe is a traditional decoration that enhances the joy and atmosphere of Christmas."', 'source_id': 'chunk-99b0ec7f7e006561352b5d65e849611d'} -2024-10-30 06:50:42,067 - lightrag - INFO - get_edge:query: - MATCH (start:`DEATH`)-[r]->(end:`SCROOGE`) - RETURN properties(r) as edge_properties - LIMIT 1 - :result:{'keywords': '"existential crisis, contemplation"', 'weight': 9.0, 'description': '"Scrooge grapples with the idea of Death as he witnesses the aftermath of The Deceased\'s life, leading to an inner turmoil."', 'source_id': 'chunk-e1f29eeadc1d8ab46dc8a0bbd3c56b64'} -2024-10-30 06:50:42,160 - lightrag - INFO - get_edge:query: - MATCH (start:`SCROOGE`)-[r]->(end:`THE DOWERLESS GIRL`) - RETURN properties(r) as edge_properties - LIMIT 1 - :result:{'keywords': '"social constraints, regret"', 'weight': 12.0, 'description': '"Scrooge\'s reflections on the dowerless girl highlight the social constraints influencing his choices and feelings of regret."', 'source_id': 'chunk-54bdd22db1f84a965b5f4c06c9216d8d'} -2024-10-30 06:50:42,253 - lightrag - INFO - get_edge:query: - MATCH (start:`CRATCHIT FAMILY`)-[r]->(end:`DEATH`) - RETURN properties(r) as edge_properties - LIMIT 1 - :result:{'keywords': '"grief, family dynamics"', 'weight': 8.0, 'description': '"The death event impacts the Cratchit family deeply, influencing their emotional state and perceptions of hope and kindness."', 'source_id': 'chunk-83ac129dc9b56f84c46760d153d68e93'} -2024-10-30 06:50:42,346 - lightrag - INFO - get_edge:query: - MATCH (start:`FELLOW-BEINGS`)-[r]->(end:`SCROOGE`) - RETURN properties(r) as edge_properties - LIMIT 1 - :result:{'keywords': '"neglect, realization"', 'weight': 16.0, 'description': '"Scrooge is confronted with his past choices to ignore Fellow-beings, leading to a realization of his moral failures."', 'source_id': 'chunk-359187e7571bda4b0b08b2e0b6581e52'} -2024-10-30 06:50:42,441 - lightrag - INFO - get_edge:query: - MATCH (start:`CLERK`)-[r]->(end:`SCROOGE`) - RETURN properties(r) as edge_properties - LIMIT 1 - :result:{'keywords': '"contrast, workplace dynamics""employment relationship, respect"', 'weight': 10.0, 'description': '"Scrooge\'s Clerk represents a contrasting viewpoint to Scrooge\'s own, showcasing a degree of warmth that Scrooge actively dismisses.""The Clerk communicates with Scrooge about his work, highlighting the lack of mutual respect in their employer-employee relationship."', 'source_id': 'chunk-d9aac3484185ac66045df92214d245d5chunk-5dac41b3f9eeaf794f0147400b1718cd'} -2024-10-30 06:50:42,534 - lightrag - INFO - get_edge:query: - MATCH (start:`SCROOGE`)-[r]->(end:`THE DECEASED`) - RETURN properties(r) as edge_properties - LIMIT 1 - :result:{'keywords': '"reflection, mortality"', 'weight': 8.0, 'description': '"Scrooge reflects on the condition and life of The Deceased, equating his own life with the man\'s fate, indicating a profound contemplation of mortality."', 'source_id': 'chunk-e1f29eeadc1d8ab46dc8a0bbd3c56b64'} -2024-10-30 06:50:42,628 - lightrag - INFO - get_edge:query: - MATCH (start:`SCROOGE`)-[r]->(end:`THE LAMPLIGHTER`) - RETURN properties(r) as edge_properties - LIMIT 1 - :result:{'keywords': '"contrast, positivity"', 'weight': 12.0, 'description': '"The Lamplighter\'s cheerful demeanor contrasts with Scrooge\'s initial outlook, highlighting the possibility of joy in life."', 'source_id': 'chunk-91614df5cb74cbe5e109a338a82041e9'} -2024-10-30 06:50:42,721 - lightrag - INFO - get_edge:query: - MATCH (start:`DICK`)-[r]->(end:`SCROOGE`) - RETURN properties(r) as edge_properties - LIMIT 1 - :result:{'keywords': '"nostalgia, friendship"', 'weight': 14.0, 'description': '"Scrooge remembers Dick as a part of his past, highlighting their shared experiences during happier times.""Scrooge\'s memories of Dick evoke a sense of nostalgia and reflection on the changes in his life and their friendship."', 'source_id': 'chunk-b2f98bc7abb0c67d4c86055c7fd72218'} -2024-10-30 06:50:42,815 - lightrag - INFO - get_edge:query: - MATCH (start:`OLD JOE`)-[r]->(end:`THE SHOP`) - RETURN properties(r) as edge_properties - LIMIT 1 - :result:{'keywords': '"business hub, unscrupulous dealings"', 'weight': 8.0, 'description': '"Old Joe\'s activities, including the appraisal of stolen items, solidify the shop\'s role as a hub for unscrupulous dealings."', 'source_id': 'chunk-60fc063c79fc0d4acc91a57e79de04dc'} -2024-10-30 06:50:42,907 - lightrag - INFO - get_edge:query: - MATCH (start:`SCROOGE`)-[r]->(end:`THE CRATCHIT HOUSE`) - RETURN properties(r) as edge_properties - LIMIT 1 - :result:{'keywords': '"compassion, familial connection"', 'weight': 18.0, 'description': '"Scrooge\'s reflections in The Cratchit House illustrate his evolving understanding of compassion and connection to others."', 'source_id': 'chunk-83ac129dc9b56f84c46760d153d68e93'} -2024-10-30 06:50:43,002 - lightrag - INFO - get_edge:query: - MATCH (start:`ALI BABA`)-[r]->(end:`SCROOGE`) - RETURN properties(r) as edge_properties - LIMIT 1 - :result:{'keywords': '"memory, kindness""nostalgia, childhood stories"', 'weight': 15.0, 'description': '"Scrooge recalls Ali Baba fondly, indicating a positive association with adventurers and kindness during Christmas.""Scrooge recalls Ali Baba while reflecting on memories of Christmas, indicating a strong personal connection to the story and its impact on him."', 'source_id': 'chunk-8590d9263cd2cd4fa583c432fc54e6c3'} -2024-10-30 06:50:43,098 - lightrag - INFO - get_edge:query: - MATCH (start:`JACOB`)-[r]->(end:`SCROOGE`) - RETURN properties(r) as edge_properties - LIMIT 1 - :result:{'keywords': '"past reflections, moral lesson""reflection, past relationship"', 'weight': 16.0, 'description': '"Scrooge reflects on his past relationship with Jacob, influenced by feelings of guilt and loss after Jacob\'s death.""Scrooge reflects on his relationship with Jacob, understanding the past implications of his death for his own future."', 'source_id': 'chunk-f1a4fbcf1ed86864b9bfd5e8dba4c683'} -2024-10-30 06:50:43,189 - lightrag - INFO - get_edge:query: - MATCH (start:`THE BUNDLE`)-[r]->(end:`THE DECEASED MAN`) - RETURN properties(r) as edge_properties - LIMIT 1 - :result:{'keywords': '"material legacy, value"', 'weight': 14.0, 'description': '"The Bundle contains the belongings that once belonged to The Deceased Man, illustrating the material value placed on his life after death."', 'source_id': 'chunk-e1f29eeadc1d8ab46dc8a0bbd3c56b64'} -2024-10-30 06:50:43,283 - lightrag - INFO - get_edge:query: - MATCH (start:`CHILDREN`)-[r]->(end:`SPIRIT`) - RETURN properties(r) as edge_properties - LIMIT 1 - :result:{'keywords': '"social issues, innocence"', 'weight': 9.0, 'description': '"The Spirit introduces Scrooge to the Children as representations of societal neglect, urging recognition and action."', 'source_id': 'chunk-e7637ff18c5ded77a68cce0a87883fad'} -2024-10-30 06:50:43,376 - lightrag - INFO - get_edge:query: - MATCH (start:`COUNTING-HOUSE`)-[r]->(end:`SCROOGE`) - RETURN properties(r) as edge_properties - LIMIT 1 - :result:{'keywords': '"isolation, work environment""reflection, priorities"', 'weight': 32.0, 'description': '"Scrooge reflects on his life spent in the Counting-house, which represents his previous priorities focused on business over personal connections.""Scrooge reflects on his life spent in the Counting-house, which represents his previous priorities focused on business over personal connections.""Scrooge\'s counting-house is a reflection of his cold character and attitude towards life, where he isolates himself from human interactions.""Scrooge\'s counting-house is a reflection of his cold character and attitude towards life, where he isolates himself from human interactions."', 'source_id': 'chunk-359187e7571bda4b0b08b2e0b6581e52chunk-74e2466de2f67fd710ef2f20c0a8d9e0'} -2024-10-30 06:50:43,473 - lightrag - INFO - get_edge:query: - MATCH (start:`SCROOGE`)-[r]->(end:`THE GHOST OF CHRISTMAS PRESENT`) - RETURN properties(r) as edge_properties - LIMIT 1 - :result:{'keywords': '"awareness, joy""compassion, insight""supernatural guidance, social impact""transformation, guidance"', 'weight': 34.0, 'description': '"The Ghost of Christmas Present exposes Scrooge to the joy and generosity he has been missing.""The Ghost of Christmas Present observes Scrooge\'s transformation and emotional engagement with his memories of Christmas.""The Ghost of Christmas Present shows Scrooge the joy and importance of kindness during Christmas, impacting his perspective on social issues.""The Ghost of Christmas Present shows Scrooge the joy and hardships of others during Christmas, deepening his understanding of compassion."', 'source_id': 'chunk-43c9bee23adfa77aa9dedd22401bba7dchunk-90b95db5c53e4364a6bee36b7aa4d70fchunk-b0f459f5af1c3a5e0b92cbe4ee48b77b'} -2024-10-30 06:50:43,567 - lightrag - INFO - get_edge:query: - MATCH (start:`SCHOOL`)-[r]->(end:`SCROOGE`) - RETURN properties(r) as edge_properties - LIMIT 1 - :result:{'keywords': '"neglect, formative experiences"', 'weight': 7.0, 'description': '"The School serves as a poignant reminder of Scrooge\'s childhood neglect, influencing his character development and emotional barriers."', 'source_id': 'chunk-bb21d58d36c6306fd8810ddd51c4a971'} -2024-10-30 06:50:43,661 - lightrag - INFO - get_edge:query: - MATCH (start:`JOE`)-[r]->(end:`SCROOGE`) - RETURN properties(r) as edge_properties - LIMIT 1 - :result:{'keywords': '"perspective contrast, moral dilemma"', 'weight': 12.0, 'description': '"Joe\'s cynical attitude towards death and belongings contrasts with Scrooge\'s moral horror, creating a tension between their perspectives."', 'source_id': 'chunk-e1f29eeadc1d8ab46dc8a0bbd3c56b64'} -2024-10-30 06:50:43,754 - lightrag - INFO - get_edge:query: - MATCH (start:`CHRISTMAS`)-[r]->(end:`SCROOGE'S NEPHEW`) - RETURN properties(r) as edge_properties - LIMIT 1 - :result:{'keywords': '"advocacy for holiday spirit, family dynamics""celebration, contrasting views""festivity, positive influence"', 'weight': 34.0, 'description': '"Scrooge\'s Nephew associates Christmas with goodwill and joy, which he tries to instill in Scrooge through their conversation.""Scrooge\'s Nephew defends the positive aspects of Christmas, contrasting Scrooge\'s view that the holiday is pointless.""Scrooge\'s nephew embodies the spirit of Christmas, representing joy and good humor during the holiday season.""Scrooge\'s nephew views Christmas as a merry occasion, symbolizing the warmth and generosity that Scrooge dismisses."', 'source_id': 'chunk-91614df5cb74cbe5e109a338a82041e9chunk-5dac41b3f9eeaf794f0147400b1718cdchunk-74e2466de2f67fd710ef2f20c0a8d9e0'} -2024-10-30 06:50:43,849 - lightrag - INFO - get_edge:query: - MATCH (start:`THE DAUGHTER`)-[r]->(end:`THE MOTHER`) - RETURN properties(r) as edge_properties - LIMIT 1 - :result:{'keywords': '"familial love, joy"', 'weight': 7.0, 'description': '"The Mother and Daughter share a loving and playful relationship, showcasing familial bonds and joy during the Christmas season."', 'source_id': 'chunk-54bdd22db1f84a965b5f4c06c9216d8d'} -2024-10-30 06:50:43,943 - lightrag - INFO - get_edge:query: - MATCH (start:`BOB CRATCHIT`)-[r]->(end:`THE TANK`) - RETURN properties(r) as edge_properties - LIMIT 1 - :result:{'keywords': '"workplace, struggle"', 'weight': 14.0, 'description': '"Bob\'s working conditions in The Tank under Scrooge reflect the challenges he faces as a struggling employee supporting his family."', 'source_id': 'chunk-94bea83e7153fc2064aa382b494936a1'} -2024-10-30 06:50:44,038 - lightrag - INFO - get_edge:query: - MATCH (start:`SCROOGE`)-[r]->(end:`THE HOUSE`) - RETURN properties(r) as edge_properties - LIMIT 1 - :result:{'keywords': '"haunting, setting influence""setting, atmosphere"', 'weight': 15.0, 'description': '"Scrooge\'s experiences and encounters with Marley occur within The House, which plays a significant role in the haunting atmosphere.""Scrooge\'s experiences with Marley\'s Ghost occur within The House, which plays a crucial role in the haunting atmosphere."', 'source_id': 'chunk-9c43dac2fcd5b578242d907ea6f8fc7b'} -2024-10-30 06:50:44,131 - lightrag - INFO - get_edge:query: - MATCH (start:`GHOST OF CHRISTMAS PRESENT`)-[r]->(end:`SPIRIT`) - RETURN properties(r) as edge_properties - LIMIT 1 - :result:{'keywords': '"mentoring, generosity"', 'weight': 10.0, 'description': '"The Ghost embodies the essence of Christmas present, revealing the themes of joy and abundance to Scrooge."', 'source_id': 'chunk-843b5b2f944c7413d9ca876e2e2f151f'} -2024-10-30 06:50:44,226 - lightrag - INFO - get_edge:query: - MATCH (start:`SCROOGE`)-[r]->(end:`THE CLOCK`) - RETURN properties(r) as edge_properties - LIMIT 1 - :result:{'keywords': '"disorientation, urgency""time distortion, confusion"', 'weight': 13.0, 'description': '"Scrooge\'s awareness of time is challenged by The Clock, reflecting his confusion and the urgency of his situation.""Scrooge\'s interaction with the faulty clock symbolizes his disconnection from time and reality, as he struggles to comprehend his experiences."', 'source_id': 'chunk-cb661c37436355ccec2769b1d0350c5f'} -2024-10-30 06:50:44,318 - lightrag - INFO - get_edge:query: - MATCH (start:`BOB CRATCHIT`)-[r]->(end:`THE POULTERER'S`) - RETURN properties(r) as edge_properties - LIMIT 1 - :result:{'keywords': '"commerce, generosity"', 'weight': 12.0, 'description': '"The Poulterer\'s shop is where Scrooge instructs the boy to buy a turkey for the Cratchit family, linking commerce to kindness."', 'source_id': 'chunk-90b95db5c53e4364a6bee36b7aa4d70f'} -2024-10-30 06:50:44,413 - lightrag - INFO - get_edge:query: - MATCH (start:`BEDLAM`)-[r]->(end:`SCROOGE`) - RETURN properties(r) as edge_properties - LIMIT 1 - :result:{'keywords': '"disdain, societal norms"', 'weight': 12.0, 'description': '"Scrooge invokes the concept of Bedlam to express his disbelief and frustration at the cheerfulness of others, implying a disdain for societal norms."', 'source_id': 'chunk-5dac41b3f9eeaf794f0147400b1718cd'} -2024-10-30 06:50:44,509 - lightrag - INFO - get_edge:query: - MATCH (start:`CHRISTMAS CAROL`)-[r]->(end:`SCROOGE`) - RETURN properties(r) as edge_properties - LIMIT 1 - :result:{'keywords': '"generosity, connection"', 'weight': 8.0, 'description': '"Scrooge recalls a Christmas carol, wishing to give to a boy, which signifies his longing for connection and generosity."', 'source_id': 'chunk-8590d9263cd2cd4fa583c432fc54e6c3'} -2024-10-30 06:50:44,604 - lightrag - INFO - get_edge:query: - MATCH (start:`SCROOGE`)-[r]->(end:`THE BELL`) - RETURN properties(r) as edge_properties - LIMIT 1 - :result:{'keywords': '"foreboding, supernatural""supernatural event, signaling"', 'weight': 15.0, 'description': '"The Bell\'s movement and sound foreshadow Marley\'s Ghost\'s appearance, enhancing the sense of impending supernatural activity in Scrooge\'s environment.""The Bell\'s unexpected ringing is associated with the appearance of Marley’s Ghost, enhancing the supernatural events in The House."', 'source_id': 'chunk-9c43dac2fcd5b578242d907ea6f8fc7b'} -2024-10-30 06:50:44,696 - lightrag - INFO - get_edge:query: - MATCH (start:`CHILDREN`)-[r]->(end:`SCROOGE`) - RETURN properties(r) as edge_properties - LIMIT 1 - :result:{'keywords': '"emotional detachment, joy""longing, innocence"', 'weight': 12.0, 'description': '"Scrooge\'s indifference towards children shows his emotional coldness and detachment from the joyous aspects of life.""Scrooge\'s reaction to the Children he observes in his memories reveals his longing for the happiness he once knew but has since lost."', 'source_id': 'chunk-74e2466de2f67fd710ef2f20c0a8d9e0chunk-bb21d58d36c6306fd8810ddd51c4a971'} -2024-10-30 06:50:44,789 - lightrag - INFO - get_edge:query: - MATCH (start:`GHOST`)-[r]->(end:`SPECTRE`) - RETURN properties(r) as edge_properties - LIMIT 1 - :result:{'keywords': '"identity, motivation"', 'weight': 20.0, 'description': '"The Spectre is synonymous with the Ghost, representing the collective spirit urging Scrooge to change his ways."', 'source_id': 'chunk-359187e7571bda4b0b08b2e0b6581e52'} -2024-10-30 06:50:44,883 - lightrag - INFO - get_edge:query: - MATCH (start:`POOR AND DESTITUTE`)-[r]->(end:`SCROOGE`) - RETURN properties(r) as edge_properties - LIMIT 1 - :result:{'keywords': '"miserliness, social neglect"', 'weight': 14.0, 'description': '"Scrooge\'s reluctance to support the Poor and Destitute highlights his miserly nature and his antagonism toward societal responsibility."', 'source_id': 'chunk-5dac41b3f9eeaf794f0147400b1718cd'} -2024-10-30 06:50:44,979 - lightrag - INFO - get_edge:query: - MATCH (start:`BOYS`)-[r]->(end:`SCROOGE`) - RETURN properties(r) as edge_properties - LIMIT 1 - :result:{'keywords': '"joy, childhood memories"', 'weight': 14.0, 'description': '"Scrooge feels joy upon seeing the boys, evoking memories of childhood experiences and emotions associated with them."', 'source_id': 'chunk-bb21d58d36c6306fd8810ddd51c4a971'} -2024-10-30 06:50:45,072 - lightrag - INFO - get_edge:query: - MATCH (start:`CHRISTMAS DAY`)-[r]->(end:`SCROOGE`) - RETURN properties(r) as edge_properties - LIMIT 1 - :result:{'keywords': '"seasonal significance, renewal""transformation, celebration"', 'weight': 19.0, 'description': '"Scrooge experiences a profound change on Christmas Day, which signifies his newfound joy and generosity.""Scrooge\'s change in attitude and actions occur on Christmas Day, making it a pivotal event in his story."', 'source_id': 'chunk-90b95db5c53e4364a6bee36b7aa4d70f'} -2024-10-30 06:50:45,161 - lightrag - INFO - get_edge:query: - MATCH (start:`BOB CRATCHIT`)-[r]->(end:`CHRISTMAS EVE`) - RETURN properties(r) as edge_properties - LIMIT 1 - :result:{'keywords': '"celebration, contrast""festive spirit, contrasting perspectives"', 'weight': 13.0, 'description': '"Bob Cratchit celebrates Christmas Eve with joy and innocence, showcasing the festive spirit that Scrooge rejects.""Bob Cratchit embodies the joy of Christmas Eve while Scrooge\'s perspective starkly contrasts with Bob\'s happiness during the holiday season."', 'source_id': 'chunk-d9aac3484185ac66045df92214d245d5'} -2024-10-30 06:50:45,257 - lightrag - INFO - get_edge:query: - MATCH (start:`BOB CRATCHIT`)-[r]->(end:`CAMDEN TOWN`) - RETURN properties(r) as edge_properties - LIMIT 1 - :result:{'keywords': '"contrast, warmth""family life, geographical contrast"', 'weight': 13.0, 'description': '"Bob Cratchit lives in Camden Town, highlighting the geographical context of his life and family, contrasting with Scrooge\'s isolated existence.""Camden Town serves as a location representing warmth and family contrast to Scrooge\'s loneliness."', 'source_id': 'chunk-d9aac3484185ac66045df92214d245d5'} -2024-10-30 06:50:45,352 - lightrag - INFO - get_edge:query: - MATCH (start:`CHRISTMAS`)-[r]->(end:`THE SHIP`) - RETURN properties(r) as edge_properties - LIMIT 1 - :result:{'keywords': '"unity, shared experience"', 'weight': 16.0, 'description': '"The Ship\'s crew celebrates Christmas together, creating a sense of unity and shared joy despite their circumstances."', 'source_id': 'chunk-91614df5cb74cbe5e109a338a82041e9'} -2024-10-30 06:50:45,446 - lightrag - INFO - get_edge:query: - MATCH (start:`IGNORANCE`)-[r]->(end:`SPIRIT`) - RETURN properties(r) as edge_properties - LIMIT 1 - :result:{'keywords': '"social issues, awareness""social warning, awareness"', 'weight': 30.0, 'description': '"The Spirit introduces Ignorance to Scrooge as a representation of societal failures, urging him to acknowledge and address these issues.""The Spirit introduces Ignorance to Scrooge as a representation of societal failures, urging him to acknowledge and address these issues.""The Spirit points out Ignorance, highlighting the need for awareness and responsibility toward societal issues.""The Spirit points out Ignorance, highlighting the need for awareness and responsibility toward societal issues."', 'source_id': 'chunk-02baee20cc9463dbe08170a8e1043e32chunk-e7637ff18c5ded77a68cce0a87883fad'} -2024-10-30 06:50:45,540 - lightrag - INFO - get_edge:query: - MATCH (start:`SCROOGE`)-[r]->(end:`WEALTH`) - RETURN properties(r) as edge_properties - LIMIT 1 - :result:{'keywords': '"materialism, character development"', 'weight': 8.0, 'description': '"Scrooge confronts the obsession with wealth which has led him away from meaningful connections and happiness."', 'source_id': 'chunk-b2f98bc7abb0c67d4c86055c7fd72218'} -2024-10-30 06:50:45,634 - lightrag - INFO - get_edge:query: - MATCH (start:`SCROOGE`)-[r]->(end:`THE THREE SPIRITS`) - RETURN properties(r) as edge_properties - LIMIT 1 - :result:{'keywords': '"redemption, transformation"', 'weight': 9.0, 'description': '"Scrooge is directly involved in the narrative concerning the Three Spirits who are meant to guide him toward redemption."', 'source_id': 'chunk-cb661c37436355ccec2769b1d0350c5f'} -2024-10-30 06:50:45,729 - lightrag - INFO - get_edge:query: - MATCH (start:`LONDON`)-[r]->(end:`SCROOGE`) - RETURN properties(r) as edge_properties - LIMIT 1 - :result:{'keywords': '"setting, seasonal context""setting, transformation"', 'weight': 12.0, 'description': '"London as the setting contextualizes Scrooge\'s experiences and transformations regarding Christmas celebrations.""Scrooge\'s experiences reflect the larger context of life in London during the festive season, emphasizing the mood of the city at that time."', 'source_id': 'chunk-d9aac3484185ac66045df92214d245d5chunk-43c9bee23adfa77aa9dedd22401bba7d'} -2024-10-30 06:50:45,825 - lightrag - INFO - get_edge:query: - MATCH (start:`BUSINESSMEN`)-[r]->(end:`SCROOGE`) - RETURN properties(r) as edge_properties - LIMIT 1 - :result:{'keywords': '"social interactions, superficiality"', 'weight': 7.0, 'description': '"Scrooge\'s past interactions with the businessmen are superficial, reflecting his focus on wealth and status rather than meaningful connections."', 'source_id': 'chunk-f1a4fbcf1ed86864b9bfd5e8dba4c683'} -2024-10-30 06:50:45,920 - lightrag - INFO - get_edge:query: - MATCH (start:`BOB CRATCHIT`)-[r]->(end:`THE FAMILY`) - RETURN properties(r) as edge_properties - LIMIT 1 - :result:{'keywords': '"family, responsibility"', 'weight': 16.0, 'description': '"Bob Cratchit is a central figure in The Family, demonstrating love and responsibility towards his children during Christmas."', 'source_id': 'chunk-94bea83e7153fc2064aa382b494936a1'} -2024-10-30 06:50:46,014 - lightrag - INFO - get_edge:query: - MATCH (start:`BOB`)-[r]->(end:`TINY TIM`) - RETURN properties(r) as edge_properties - LIMIT 1 - :result:{'keywords': '"family dynamics, loss"', 'weight': 8.0, 'description': '"Bob reflects on Tiny Tim\'s memory, highlighting the impact of his loss on the family dynamics."', 'source_id': 'chunk-91572b3cd42786ba4cb2f180ca25cbf4'} -2024-10-30 06:50:46,106 - lightrag - INFO - get_edge:query: - MATCH (start:`MARLEY`)-[r]->(end:`THE KNOCKER`) - RETURN properties(r) as edge_properties - LIMIT 1 - :result:{'keywords': '"supernatural symbolism, foreshadowing"', 'weight': 7.0, 'description': '"Marley is connected to the Knocker as the ghostly presence that Scrooge anticipates as he approaches his door, setting up the eerie tone of the haunting."', 'source_id': 'chunk-9c43dac2fcd5b578242d907ea6f8fc7b'} -2024-10-30 06:50:46,224 - lightrag - INFO - get_edge:query: - MATCH (start:`BEGGARS`)-[r]->(end:`SCROOGE`) - RETURN properties(r) as edge_properties - LIMIT 1 - :result:{'keywords': '"lack of compassion, social isolation"', 'weight': 12.0, 'description': '"Beggars do not seek help from Scrooge due to his reputation, highlighting his inability to connect and empathize with those in need."', 'source_id': 'chunk-74e2466de2f67fd710ef2f20c0a8d9e0'} -2024-10-30 06:50:46,318 - lightrag - INFO - get_edge:query: - MATCH (start:`GHOST OF CHRISTMAS PRESENT`)-[r]->(end:`TINY TIM`) - RETURN properties(r) as edge_properties - LIMIT 1 - :result:{'keywords': '"compassion, family"', 'weight': 18.0, 'description': '"The Ghost of Christmas Present reveals Tiny Tim’s struggles and optimism, emphasizing themes of compassion and family."', 'source_id': 'chunk-9e3921da66da5d761ab73cd849af6c43'} -2024-10-30 06:50:46,413 - lightrag - INFO - get_edge:query: - MATCH (start:`SCROOGE`)-[r]->(end:`WINDING RIVER`) - RETURN properties(r) as edge_properties - LIMIT 1 - :result:{'keywords': '"nostalgia, memory"', 'weight': 16.0, 'description': '"The winding river evokes memories and emotions for Scrooge, connecting him to his past experiences and places."', 'source_id': 'chunk-bb21d58d36c6306fd8810ddd51c4a971'} -2024-10-30 06:50:46,508 - lightrag - INFO - get_edge:query: - MATCH (start:`MULTITUDES`)-[r]->(end:`SCROOGE`) - RETURN properties(r) as edge_properties - LIMIT 1 - :result:{'keywords': '"alienation, introspection"', 'weight': 8.0, 'description': '"Scrooge\'s feelings of alienation are heightened as he witnesses the Multitudes, illustrating his inner turmoil and societal disconnect."', 'source_id': 'chunk-f1a4fbcf1ed86864b9bfd5e8dba4c683'} -2024-10-30 06:50:46,602 - lightrag - INFO - get_edge:query: - MATCH (start:`SCROOGE`)-[r]->(end:`SPIRIT OF CHRISTMAS PRESENT`) - RETURN properties(r) as edge_properties - LIMIT 1 - :result:{'keywords': '"transformation, generosity"', 'weight': 16.0, 'description': '"Scrooge interacts with the Spirit of Christmas Present, who shows him the joys of Christmas and the importance of generosity."', 'source_id': 'chunk-b0f459f5af1c3a5e0b92cbe4ee48b77b'} -2024-10-30 06:50:46,696 - lightrag - INFO - get_edge:query: - MATCH (start:`THE LIGHTHOUSE`)-[r]->(end:`THE WAVE`) - RETURN properties(r) as edge_properties - LIMIT 1 - :result:{'keywords': '"struggle, isolation"', 'weight': 14.0, 'description': '"The Wave\'s constant battering of the Lighthouse highlights the isolation and challenges faced by those in such remote environments."', 'source_id': 'chunk-91614df5cb74cbe5e109a338a82041e9'} -2024-10-30 06:50:46,788 - lightrag - INFO - get_edge:query: - MATCH (start:`SPIRIT`)-[r]->(end:`THE EVENT OF DEATH`) - RETURN properties(r) as edge_properties - LIMIT 1 - :result:{'keywords': '"emotional impact, mortality"', 'weight': 16.0, 'description': '"The Spirit highlights the emotional repercussions of The Event of Death, demonstrating the profound effects on those left behind."', 'source_id': 'chunk-83ac129dc9b56f84c46760d153d68e93'} -2024-10-30 06:50:46,884 - lightrag - INFO - get_edge:query: - MATCH (start:`MRS. CRATCHIT`)-[r]->(end:`SCROOGE`) - RETURN properties(r) as edge_properties - LIMIT 1 - :result:{'keywords': '"criticism, emotional conflict""resentment, family focus"', 'weight': 15.0, 'description': '"Mrs. Cratchit expresses her disdain for Scrooge while still wishing to celebrate Christmas for the sake of her family.""Mrs. Cratchit openly criticizes Scrooge during the Christmas dinner, expressing her feelings towards him and emphasizing the family\'s resentment."', 'source_id': 'chunk-19d72c57ae3408758b18d2568e86dc6b'} -2024-10-30 06:50:46,981 - lightrag - INFO - get_edge:query: - MATCH (start:`SCROOGE`)-[r]->(end:`THE WINDOW`) - RETURN properties(r) as edge_properties - LIMIT 1 - :result:{'keywords': '"curiosity, fear"', 'weight': 10.0, 'description': '"Scrooge approaches The Window, which acts as a portal to the outside world and the supernatural, illustrating his curiosity and fear."', 'source_id': 'chunk-cb661c37436355ccec2769b1d0350c5f'} -2024-10-30 06:50:47,080 - lightrag - INFO - get_edge:query: - MATCH (start:`FOG`)-[r]->(end:`SCROOGE`) - RETURN properties(r) as edge_properties - LIMIT 1 - :result:{'keywords': '"atmosphere, emotional reflection""obscurity, isolation"', 'weight': 16.0, 'description': '"Fog represents the obscured vision of Scrooge\'s soul and emotions, aligning with his unknowable nature.""The fog obscures vision and symbolizes Scrooge’s cloudy outlook on life, illustrating his isolation from societal warmth."', 'source_id': 'chunk-d9aac3484185ac66045df92214d245d5chunk-74e2466de2f67fd710ef2f20c0a8d9e0'} -2024-10-30 06:50:47,173 - lightrag - INFO - get_edge:query: - MATCH (start:`ROBIN CRUSOE`)-[r]->(end:`SCROOGE`) - RETURN properties(r) as edge_properties - LIMIT 1 - :result:{'keywords': '"literary influence, nostalgia"', 'weight': 7.0, 'description': '"Scrooge\'s reference to Robin Crusoe during his reflections shows how literary characters shaped his childhood thoughts and feelings."', 'source_id': 'chunk-8590d9263cd2cd4fa583c432fc54e6c3'} -2024-10-30 06:50:47,290 - lightrag - INFO - get_edge:query: - MATCH (start:`GHOST OF JACOB MARLEY`)-[r]->(end:`SCROOGE`) - RETURN properties(r) as edge_properties - LIMIT 1 - :result:{'keywords': '"warning, transformation"', 'weight': 18.0, 'description': '"Jacob Marley appears to Scrooge as a warning and catalyst for his eventual transformation into a better person."', 'source_id': 'chunk-9e3921da66da5d761ab73cd849af6c43'} -2024-10-30 06:50:47,384 - lightrag - INFO - get_edge:query: - MATCH (start:`MARTHA CRATCHIT`)-[r]->(end:`THE COUNTESS`) - RETURN properties(r) as edge_properties - LIMIT 1 - :result:{'keywords': '"social aspirations, class contrast"', 'weight': 10.0, 'description': '"Martha’s mention of having seen the Countess represents her connection to higher social circles and dreams beyond her current situation."', 'source_id': 'chunk-19d72c57ae3408758b18d2568e86dc6b'} -2024-10-30 06:50:47,478 - lightrag - INFO - get_edge:query: - MATCH (start:`SCROOGE`)-[r]->(end:`TINY TIM`) - RETURN properties(r) as edge_properties - LIMIT 1 - :result:{'keywords': '"generosity, familial love""innocence, hope""personal transformation, empathy""reflection, transformation""transformation, holiday spirit""transformation, mentorship""transformation, redemption"', 'weight': 67.0, 'description': '"Scrooge becomes a father figure to Tiny Tim, showing a deep commitment to his well-being after realizing the importance of family and caring for others.""Scrooge reflects on Tiny Tim and expresses concern for his wellbeing, indicating a pivotal change in his character and attitudes towards the less fortunate.""Scrooge\'s transformation is influenced by his reflections on the impact of Tiny Tim\'s life and death.""Scrooge becomes emotionally affected by Tiny Tim\'s situation, leading him to reflect on his past words and actions regarding the welfare of others.""Scrooge expresses a newfound joy during Christmas, indicating a change in attitude towards the spirit symbolized by Tiny Tim.""Scrooge reflects on Tiny Tim\'s essence and the impact of his potential death, considering how it could prompt him to change his ways.""Scrooge\'s intention to send a large turkey to Bob Cratchit\'s family, particularly to Tiny Tim, shows his emotional connection and desire to help.""Tiny Tim is affected by the family\'s feelings towards Scrooge, and he embodies the hope for joy despite Scrooge\'s unkind nature."', 'source_id': 'chunk-90b95db5c53e4364a6bee36b7aa4d70fchunk-19d72c57ae3408758b18d2568e86dc6bchunk-503f0bfa5453467c7c61d160a3540ecachunk-91572b3cd42786ba4cb2f180ca25cbf4chunk-8f738cb25d60a7dab782162d9d0a25edchunk-94bea83e7153fc2064aa382b494936a1'} -2024-10-30 06:50:47,571 - lightrag - INFO - get_edge:query: - MATCH (start:`MR. MARLEY`)-[r]->(end:`SCROOGE`) - RETURN properties(r) as edge_properties - LIMIT 1 - :result:{'keywords': '"past connection, isolation"', 'weight': 7.0, 'description': '"Scrooge reflects on Mr. Marley\'s death, highlighting his isolation and connection to past values that he now rejects."', 'source_id': 'chunk-5dac41b3f9eeaf794f0147400b1718cd'} -2024-10-30 06:50:47,664 - lightrag - INFO - get_edge:query: - MATCH (start:`CHRISTMAS`)-[r]->(end:`GROCERS'`) - RETURN properties(r) as edge_properties - LIMIT 1 - :result:{'keywords': '"retail, festive celebration"', 'weight': 16.0, 'description': '"The Grocers\' organization plays a crucial role during Christmas by providing goods that contribute to the festive spirit."', 'source_id': 'chunk-99b0ec7f7e006561352b5d65e849611d'} -2024-10-30 06:50:47,759 - lightrag - INFO - get_edge:query: - MATCH (start:`CHRISTMAS`)-[r]->(end:`THE DINNER`) - RETURN properties(r) as edge_properties - LIMIT 1 - :result:{'keywords': '"festive occasion, celebration"', 'weight': 20.0, 'description': '"The Dinner is part of the Christmas celebration, reflecting the traditions and spirit associated with this holiday."', 'source_id': 'chunk-503f0bfa5453467c7c61d160a3540eca'} -2024-10-30 06:50:47,854 - lightrag - INFO - get_edge:query: - MATCH (start:`APPLES`)-[r]->(end:`CHRISTMAS`) - RETURN properties(r) as edge_properties - LIMIT 1 - :result:{'keywords': '"seasonal offerings, tradition"', 'weight': 6.0, 'description': '"Apples are featured in markets during Christmas, indicating traditional holiday fare."', 'source_id': 'chunk-99b0ec7f7e006561352b5d65e849611d'} -2024-10-30 06:50:47,949 - lightrag - INFO - get_edge:query: - MATCH (start:`CLOCK`)-[r]->(end:`SCROOGE`) - RETURN properties(r) as edge_properties - LIMIT 1 - :result:{'keywords': '"time symbolism, anxiety"', 'weight': 14.0, 'description': '"Scrooge\'s observations of the Clock reflect his anxiety over time and the supernatural events unfolding around him."', 'source_id': 'chunk-c7b10789a9cb0af6c553730b29bd9034'} -2024-10-30 06:50:48,042 - lightrag - INFO - get_edge:query: - MATCH (start:`SCROOGE`)-[r]->(end:`THE WAREHOUSE`) - RETURN properties(r) as edge_properties - LIMIT 1 - :result:{'keywords': '"business partnership, character motivation""memories, apprenticeship"', 'weight': 16.0, 'description': '"Scrooge\'s connection to the Warehouse emphasizes his memories of apprenticeship and his past experiences.""The Warehouse symbolizes Scrooge\'s business practices and his partnership with Marley, shaping his character\'s motivations."', 'source_id': 'chunk-c6c248858d1b13ab7ee9ca13c1aeed6bchunk-89777b838d5447c7bd1ec11282c4ee89'} -2024-10-30 06:50:48,132 - lightrag - INFO - get_edge:query: - MATCH (start:`JACOB MARLEY`)-[r]->(end:`SCROOGE`) - RETURN properties(r) as edge_properties - LIMIT 1 - :result:{'keywords': '"catalyst for change, supernatural guidance""past influence, warning""redemption, influence""redemption, moral lesson""redemption, spiritual influence""self-reflection, legacy""supernatural encounter, past ties""transformation, influence""warning, catalyst""warning, consequence""warning, transformation"', 'weight': 98.0, 'description': '"Jacob Marley influences Scrooge\'s transformation by appearing as a spirit to warn him.""Jacob Marley is the spirit who brings forth the need for Scrooge to change his ways, impacting his character development.""Scrooge confronts Jacob Marley, his former business partner, who returns as a ghost to influence Scrooge\'s perspective on life and his actions.""Scrooge converses with the ghost of Jacob Marley, who tries to guide him toward understanding the importance of compassion and the consequences of his actions.""Scrooge interacts with Jacob Marley, who serves as a critical warning for Scrooge to change his ways before it\'s too late.""Scrooge reflects on Jacob Marley’s past warnings, which serve as a catalyst for his transformation.""Scrooge\'s transformation is prompted by the appearance and message of Jacob Marley, his former business partner.""Jacob Marley warns Scrooge about his fate and the importance of change, acting as a catalyst for Scrooge\'s transformation.""Scrooge acknowledges Jacob Marley, recognizing his former business partner\'s lost opportunities and the implications for his own life.""Scrooge is visited by Jacob Marley, who warns him about his fate and the necessity for personal change to avoid a bleak future.""Scrooge\'s transformation is influenced by Jacob Marley\'s ghost, who represents the consequences of a life poorly lived."', 'source_id': 'chunk-90b95db5c53e4364a6bee36b7aa4d70fchunk-359187e7571bda4b0b08b2e0b6581e52chunk-da2472b4ef2a535b62908f14d0fb0ca9chunk-02baee20cc9463dbe08170a8e1043e32chunk-1aa50206d02ed89418f65f97c6441d1cchunk-91572b3cd42786ba4cb2f180ca25cbf4chunk-cb661c37436355ccec2769b1d0350c5f'} -2024-10-30 06:50:48,236 - lightrag - INFO - get_edge:query: - MATCH (start:`CITY`)-[r]->(end:`SCROOGE`) - RETURN properties(r) as edge_properties - LIMIT 1 - :result:{'keywords': '"indifference, societal critique""societal impact, personal change"', 'weight': 15.0, 'description': '"Scrooge experiences the indifference of the City towards his death, illustrating societal apathy.""Scrooge\'s transformation is set against the backdrop of the City, reflecting the societal implications of his personal changes."', 'source_id': 'chunk-843b5b2f944c7413d9ca876e2e2f151fchunk-02baee20cc9463dbe08170a8e1043e32'} -2024-10-30 06:50:48,330 - lightrag - INFO - get_edge:query: - MATCH (start:`SCROOGE`)-[r]->(end:`THE YOUNG GIRL`) - RETURN properties(r) as edge_properties - LIMIT 1 - :result:{'keywords': '"reflection, lost love"', 'weight': 8.0, 'description': '"Scrooge reflects on his past feelings for the Young Girl, recognizing the change in his own spirit and desires over time."', 'source_id': 'chunk-54bdd22db1f84a965b5f4c06c9216d8d'} -2024-10-30 06:50:48,422 - lightrag - INFO - get_edge:query: - MATCH (start:`CHRISTMAS`)-[r]->(end:`THE SPIRIT`) - RETURN properties(r) as edge_properties - LIMIT 1 - :result:{'keywords': '"holiday spirit, compassion""seasonal influence, moral reflection"', 'weight': 34.0, 'description': '"The Spirit connects various scenes to the theme of Christmas, emphasizing its impact on individuals’ attitudes and behaviors.""The Spirit connects various scenes to the theme of Christmas, emphasizing its impact on individuals’ attitudes and behaviors.""The Spirit\'s appearances highlight the themes of Christmas and the importance of compassion and community.""The Spirit\'s appearances highlight the themes of Christmas and the importance of compassion and community."', 'source_id': 'chunk-91614df5cb74cbe5e109a338a82041e9chunk-da2472b4ef2a535b62908f14d0fb0ca9'} -2024-10-30 06:50:48,515 - lightrag - INFO - get_edge:query: - MATCH (start:`CHRISTMAS`)-[r]->(end:`THE LIGHTHOUSE`) - RETURN properties(r) as edge_properties - LIMIT 1 - :result:{'keywords': '"hope, celebration"', 'weight': 14.0, 'description': '"The Lighthouse is a site where Christmas is celebrated, symbolizing hope and warmth in a bleak environment."', 'source_id': 'chunk-91614df5cb74cbe5e109a338a82041e9'} -2024-10-30 06:50:48,702 - lightrag - INFO - get_edge:query: - MATCH (start:`SCROOGE`)-[r]->(end:`SCROOGE'S NIECE`) - RETURN properties(r) as edge_properties - LIMIT 1 - :result:{'keywords': '"family bonds, celebration""family conflict, holiday spirit""family dynamics, transformation""ideological conflict, family dynamics"', 'weight': 30.0, 'description': '"Scrooge observes his niece enjoying the Christmas festivities, which influences his own mood and perspective towards the holiday spirit.""Scrooge\'s Niece expresses indignation towards Scrooge\'s belief that Christmas is a humbug, demonstrating her strong opinions against his views.""Scrooge\'s niece embraces the joyful atmosphere of the celebration, engaging with family and inviting good-natured fun.""Scrooge\'s Niece shows indignation toward Scrooge\'s negativity about Christmas, highlighting the familial tensions between them."', 'source_id': 'chunk-773d0df1dd25c356f7b771d780583e09chunk-43c9bee23adfa77aa9dedd22401bba7d'} -2024-10-30 06:50:48,795 - lightrag - INFO - get_edge:query: - MATCH (start:`SCROOGE`)-[r]->(end:`THE GIRL`) - RETURN properties(r) as edge_properties - LIMIT 1 - :result:{'keywords': '"family ties, kindness"', 'weight': 8.0, 'description': '"Scrooge\'s pleasant interaction with The Girl at Fred\'s house shows his desire for family connection and warmth."', 'source_id': 'chunk-8f738cb25d60a7dab782162d9d0a25ed'} -2024-10-30 06:50:48,890 - lightrag - INFO - get_edge:query: - MATCH (start:`SCROOGE`)-[r]->(end:`THE POULTERER'S`) - RETURN properties(r) as edge_properties - LIMIT 1 - :result:{'keywords': '"generosity, commerce"', 'weight': 8.0, 'description': '"Scrooge interacts with The Poulterer\'s to purchase a turkey as an act of generosity toward Bob Cratchit\'s family."', 'source_id': 'chunk-90b95db5c53e4364a6bee36b7aa4d70f'} -2024-10-30 06:50:48,983 - lightrag - INFO - get_edge:query: - MATCH (start:`THE CRATCHIT HOUSE`)-[r]->(end:`THE DEBT`) - RETURN properties(r) as edge_properties - LIMIT 1 - :result:{'keywords': '"financial burden, atmosphere"', 'weight': 18.0, 'description': '"The Debt looms over The Cratchit House, contributing to the emotional atmosphere and fears of its inhabitants during the story."', 'source_id': 'chunk-83ac129dc9b56f84c46760d153d68e93'} -2024-10-30 06:50:49,076 - lightrag - INFO - get_edge:query: - MATCH (start:`JOE`)-[r]->(end:`THE WOMAN`) - RETURN properties(r) as edge_properties - LIMIT 1 - :result:{'keywords': '"conversational dynamics, materialism""dialogue, humor, death""humor, interaction""social interaction, community dynamics"', 'weight': 23.0, 'description': '"Joe and The Woman are engaged in a discussion about the deceased man’s belongings, illustrating their shared perspective on material possessions.""Joe and The Woman engage in a conversation, highlighting community dynamics and common social interactions among friends or acquaintances.""Joe and The Woman engage in dialogue about the deceased\'s belongings, showcasing their interactions and differing attitudes towards death.""Joe and The Woman share a humorous exchange about the bed-curtains, reflecting the jovial spirit of the gathering."', 'source_id': 'chunk-e1f29eeadc1d8ab46dc8a0bbd3c56b64chunk-89777b838d5447c7bd1ec11282c4ee89'} -2024-10-30 06:50:49,169 - lightrag - INFO - get_edge:query: - MATCH (start:`CHRISTMAS HOLIDAYS`)-[r]->(end:`SCROOGE`) - RETURN properties(r) as edge_properties - LIMIT 1 - :result:{'keywords': '"transformation, significance of time"', 'weight': 16.0, 'description': '"Christmas Holidays are integral to Scrooge\'s journey, representing the time of year that prompts his change and reinstates joy."', 'source_id': 'chunk-e7637ff18c5ded77a68cce0a87883fad'} -2024-10-30 06:50:49,261 - lightrag - INFO - get_edge:query: - MATCH (start:`SCROOGE`)-[r]->(end:`THE GOLDEN IDOL`) - RETURN properties(r) as edge_properties - LIMIT 1 - :result:{'keywords': '"materialism, lost connections"', 'weight': 20.0, 'description': '"The Golden Idol represents the materialistic pursuits that have displaced meaningful connections in Scrooge\'s life."', 'source_id': 'chunk-b2f98bc7abb0c67d4c86055c7fd72218'} -2024-10-30 06:50:49,356 - lightrag - INFO - get_edge:query: - MATCH (start:`OLD SCRATCH`)-[r]->(end:`THE FUNERAL`) - RETURN properties(r) as edge_properties - LIMIT 1 - :result:{'keywords': '"morbid humor, societal views"', 'weight': 14.0, 'description': '"The concept of Old Scratch is invoked in the context of discussions about The Funeral, highlighting societal attitudes towards death."', 'source_id': 'chunk-f1a4fbcf1ed86864b9bfd5e8dba4c683'} -2024-10-30 06:50:49,451 - lightrag - INFO - get_edge:query: - MATCH (start:`MARLEY'S FUNERAL`)-[r]->(end:`SCROOGE`) - RETURN properties(r) as edge_properties - LIMIT 1 - :result:{'keywords': '"loss, character journey"', 'weight': 18.0, 'description': '"Marley\'s Funeral signifies the beginning of Scrooge\'s emotional journey, showcasing his reaction to loss and setting the stage for the narrative."', 'source_id': 'chunk-89777b838d5447c7bd1ec11282c4ee89'} -2024-10-30 06:50:49,547 - lightrag - INFO - get_edge:query: - MATCH (start:`SCROOGE`)-[r]->(end:`THE OBSCURE PART OF TOWN`) - RETURN properties(r) as edge_properties - LIMIT 1 - :result:{'keywords': '"confrontation, societal reflection"', 'weight': 9.0, 'description': '"Scrooge\'s journey leads him to the Obscure Part of Town, representing his confrontation with the darker aspects of life and society."', 'source_id': 'chunk-f1a4fbcf1ed86864b9bfd5e8dba4c683'} -2024-10-30 06:50:49,639 - lightrag - INFO - get_edge:query: - MATCH (start:`BOB CRATCHIT`)-[r]->(end:`THE GATHERING`) - RETURN properties(r) as edge_properties - LIMIT 1 - :result:{'keywords': '"family commitment, celebration"', 'weight': 16.0, 'description': '"Bob Cratchit leads his family in the Christmas Gathering, showcasing their love and commitment to celebrating together despite worries."', 'source_id': 'chunk-19d72c57ae3408758b18d2568e86dc6b'} -2024-10-30 06:50:49,735 - lightrag - INFO - get_edge:query: - MATCH (start:`CHRISTMAS PUDDING`)-[r]->(end:`CRATCHIT FAMILY`) - RETURN properties(r) as edge_properties - LIMIT 1 - :result:{'keywords': '"family unity, celebration"', 'weight': 10.0, 'description': '"The Cratchit Family gathers around to enjoy the Christmas Pudding, demonstrating their togetherness and festive spirit."', 'source_id': 'chunk-503f0bfa5453467c7c61d160a3540eca'} -2024-10-30 06:50:49,828 - lightrag - INFO - get_edge:query: - MATCH (start:`OLD SCROOGE`)-[r]->(end:`SCROOGE`) - RETURN properties(r) as edge_properties - LIMIT 1 - :result:{'keywords': '"character history, development"', 'weight': 14.0, 'description': '"Scrooge\'s history is revealed through the mention of Old Scrooge, indicating his past beliefs and practices that shape his current persona."', 'source_id': 'chunk-89777b838d5447c7bd1ec11282c4ee89'} -2024-10-30 06:50:49,921 - lightrag - INFO - get_edge:query: - MATCH (start:`SCROOGE`)-[r]->(end:`THE DARKNESS`) - RETURN properties(r) as edge_properties - LIMIT 1 - :result:{'keywords': '"internal struggle, unknown"', 'weight': 12.0, 'description': '"Scrooge finds himself enveloped by The Darkness, representing his internal struggle and the unknown future he faces."', 'source_id': 'chunk-cb661c37436355ccec2769b1d0350c5f'} -2024-10-30 06:50:50,018 - lightrag - INFO - get_edge:query: - MATCH (start:`BOB CRATCHIT`)-[r]->(end:`CAROLINE`) - RETURN properties(r) as edge_properties - LIMIT 1 - :result:{'keywords': '"hope, financial strain""marital struggle, economic challenges"', 'weight': 14.0, 'description': '"Caroline and Bob Cratchit represent a married couple grappling with the implications of financial stress and loss in their family.""Caroline expresses hope combined with anxiety regarding their financial situation, affecting her relationship with Bob Cratchit."', 'source_id': 'chunk-83ac129dc9b56f84c46760d153d68e93'} -2024-10-30 06:50:50,110 - lightrag - INFO - get_edge:query: - MATCH (start:`CHESTNUTS`)-[r]->(end:`CHRISTMAS`) - RETURN properties(r) as edge_properties - LIMIT 1 - :result:{'keywords': '"festive foods, sensory experiences"', 'weight': 8.0, 'description': '"Chestnuts are sold during Christmas, contributing to the sensory experience of the holiday."', 'source_id': 'chunk-99b0ec7f7e006561352b5d65e849611d'} -2024-10-30 06:50:50,204 - lightrag - INFO - get_edge:query: - MATCH (start:`THE LOW-BROWED SHOP`)-[r]->(end:`THE TOWN`) - RETURN properties(r) as edge_properties - LIMIT 1 - :result:{'keywords': '"socioeconomic issues, decay"', 'weight': 14.0, 'description': '"The Low-Browed Shop exists within The Town, reflecting its degradation and the poor conditions of its inhabitants."', 'source_id': 'chunk-f1a4fbcf1ed86864b9bfd5e8dba4c683'} -2024-10-30 06:50:50,297 - lightrag - INFO - get_edge:query: - MATCH (start:`SCROOGE`)-[r]->(end:`THE OLD GENTLEMAN`) - RETURN properties(r) as edge_properties - LIMIT 1 - :result:{'keywords': '"kindness, transformation"', 'weight': 18.0, 'description': '"Scrooge shows kindness and generosity to The Old Gentleman, marking a significant change in his character and relationships."', 'source_id': 'chunk-8f738cb25d60a7dab782162d9d0a25ed'} -2024-10-30 06:50:50,392 - lightrag - INFO - get_edge:query: - MATCH (start:`HOME`)-[r]->(end:`THE MOTHER`) - RETURN properties(r) as edge_properties - LIMIT 1 - :result:{'keywords': '"family unity, celebration"', 'weight': 18.0, 'description': '"Home is where The Mother organizes the family Christmas celebration, serving as the heart of their togetherness."', 'source_id': 'chunk-da2472b4ef2a535b62908f14d0fb0ca9'} -2024-10-30 06:50:50,489 - lightrag - INFO - get_edge:query: - MATCH (start:`SCROOGE`)-[r]->(end:`THE BED`) - RETURN properties(r) as edge_properties - LIMIT 1 - :result:{'keywords': '"contemplation, mortality"', 'weight': 9.0, 'description': '"Scrooge observes The Bed where The Deceased lies, prompting profound thoughts on mortality and regret."', 'source_id': 'chunk-e1f29eeadc1d8ab46dc8a0bbd3c56b64'} -2024-10-30 06:50:50,584 - lightrag - INFO - get_edge:query: - MATCH (start:`SCROOGE`)-[r]->(end:`THE DRESSING-GOWN`) - RETURN properties(r) as edge_properties - LIMIT 1 - :result:{'keywords': '"characterization, solitude"', 'weight': 7.0, 'description': '"The Dressing-Gown emphasizes Scrooge\'s character as a solitary, reclusive man, reinforcing his isolation during the haunting."', 'source_id': 'chunk-9c43dac2fcd5b578242d907ea6f8fc7b'} -2024-10-30 06:50:50,680 - lightrag - INFO - get_edge:query: - MATCH (start:`SCROOGE`)-[r]->(end:`SUNDAY CLOTHES BOY`) - RETURN properties(r) as edge_properties - LIMIT 1 - :result:{'keywords': '"kindness, generosity"', 'weight': 7.0, 'description': '"Scrooge\'s interaction with the Sunday Clothes Boy highlights his evolving attitude towards generosity and kindness."', 'source_id': 'chunk-90b95db5c53e4364a6bee36b7aa4d70f'} -2024-10-30 06:50:50,775 - lightrag - INFO - get_edge:query: - MATCH (start:`SCROOGE`)-[r]->(end:`THE YARD`) - RETURN properties(r) as edge_properties - LIMIT 1 - :result:{'keywords': '"isolation, emotional landscape"', 'weight': 16.0, 'description': '"The Yard represents the isolation in Scrooge\'s life, physically and metaphorically reflecting his emotional state."', 'source_id': 'chunk-d9aac3484185ac66045df92214d245d5'} -2024-10-30 06:50:50,869 - lightrag - INFO - get_edge:query: - MATCH (start:`CHRISTMAS EVE`)-[r]->(end:`SCROOGE`) - RETURN properties(r) as edge_properties - LIMIT 1 - :result:{'keywords': '"holiday spirit, character development"', 'weight': 16.0, 'description': '"Scrooge\'s actions and attitudes towards Christmas Eve highlight his disdain for traditional celebrations, setting the tone for his character arc."', 'source_id': 'chunk-d9aac3484185ac66045df92214d245d5'} -2024-10-30 06:50:50,964 - lightrag - INFO - get_edge:query: - MATCH (start:`COLD WEATHER`)-[r]->(end:`SCROOGE`) - RETURN properties(r) as edge_properties - LIMIT 1 - :result:{'keywords': '"atmosphere, personality mirror"', 'weight': 18.0, 'description': '"The cold weather reflects Scrooge\'s icy demeanor, emphasizing his negative attitude towards life and others."', 'source_id': 'chunk-74e2466de2f67fd710ef2f20c0a8d9e0'} -2024-10-30 06:50:51,062 - lightrag - INFO - get_edge:query: - MATCH (start:`MARLEY`)-[r]->(end:`SCROOGE`) - RETURN properties(r) as edge_properties - LIMIT 1 - :result:{'keywords': '"ghostly encounter, transformation""mourning, partnership""partnership, regret""past influence, personal history""past influence, regret""redemption, confrontation""reflection, theme of regret""supernatural connection, past relationships"', 'weight': 65.0, 'description': '"Marley’s influence and past relationship with Scrooge is indicated, suggesting a connection that impacts Scrooge\'s character growth.""Scrooge is deeply affected by Marley\'s death, illustrated through his role as the sole executor and mourner of Marley.""Scrooge reflects on Marley, revealing his past connection and the haunting aspect of Marley\'s death, which influences Scrooge\'s character arc.""Scrooge\'s encounter with Marley’s Ghost serves as a confrontation with his past self and the life choices he regrets, depicting the theme of redemption.""Scrooge and Marley were business partners, and Marley\'s death greatly impacts Scrooge, highlighting themes of loss and regret.""Scrooge encounters Marley’s ghost, which challenges his beliefs and signifies the start of his transformation.""Scrooge reflects on Marley\'s death, indicating the profound effect it had on his life, shaping his current perspective on generosity and the holidays.""Scrooge\'s reflection on Marley underscores the theme of regret and the potential for change in his character\'s journey."', 'source_id': 'chunk-5dac41b3f9eeaf794f0147400b1718cdchunk-89777b838d5447c7bd1ec11282c4ee89chunk-d9aac3484185ac66045df92214d245d5chunk-9c43dac2fcd5b578242d907ea6f8fc7bchunk-843b5b2f944c7413d9ca876e2e2f151f'} -2024-10-30 06:50:51,154 - lightrag - INFO - get_edge:query: - MATCH (start:`FRED`)-[r]->(end:`SCROOGE`) - RETURN properties(r) as edge_properties - LIMIT 1 - :result:{'keywords': '"family connection, goodwill""family connection, reconciliation""family ties, contrast""family ties, redemption""family, contrast""family, reconciliatory""family, rekindled relationships""family, transformation""rejection, familial dynamics"', 'weight': 66.0, 'description': '"Fred attempts to reach out to Scrooge for family connections, representing the warmth of familial love against Scrooge\'s coldness.""Fred expresses admiration and gratitude for Scrooge, highlighting the family connection and the hope for Scrooge\'s redemption.""Fred\'s joyful and loving nature in contrast to Scrooge\'s bitterness illustrates the theme of familial love versus isolation.""Scrooge and Fred share a familial bond, with Fred expressing goodwill and celebrating Scrooge despite his uncle\'s previous behavior.""Scrooge expresses a desire to visit Fred, which signifies a reconciliatory gesture toward his family.""Scrooge surprises Fred with his unexpected visit, indicating a shift in their familial relationship and Scrooge\'s attitude toward family.""Scrooge\'s interaction with Fred emphasizes his rejection of familial warmth during the Christmas season.""Scrooge visits his nephew Fred, demonstrating the rekindling of family ties and the spirit of Christmas.""Scrooge\'s visit to Fred signifies a reconnection with family and a shift towards embracing Christmas spirit."', 'source_id': 'chunk-89777b838d5447c7bd1ec11282c4ee89chunk-e7637ff18c5ded77a68cce0a87883fadchunk-9e3921da66da5d761ab73cd849af6c43chunk-94bea83e7153fc2064aa382b494936a1chunk-8f738cb25d60a7dab782162d9d0a25ed'} -2024-10-30 06:50:51,248 - lightrag - INFO - get_edge:query: - MATCH (start:`SCROOGE`)-[r]->(end:`SCROOGE'S NEPHEW`) - RETURN properties(r) as edge_properties - LIMIT 1 - :result:{'keywords': '"family conflict, contrasting views""family conflict, differing perspectives""family dynamics, contrast""family dynamics, contrasting views""family dynamics, holiday spirit""family dynamics, opposing views""family, festive spirit"', 'weight': 56.0, 'description': '"Scrooge and his nephew engage in a verbal exchange where the nephew represents joy and celebration, contrasting with Scrooge\'s cynicism and disdain.""Scrooge\'s Nephew attempts to encourage Scrooge to embrace Christmas and reconcile despite Scrooge\'s insistence on maintaining his disdain.""Scrooge\'s Nephew contrasts with Scrooge, advocating for merriment and showing pity for his uncle\'s ill tempers.""Scrooge\'s Nephew tries to cheer Scrooge up and promote the joy of Christmas, but is met with rejection and negativity.""Scrooge\'s Nephew tries to convince Scrooge of the joys of Christmas, illustrating the conflict between their differing views on the holiday.""Scrooge\'s Nephew often expresses pity for Scrooge, believing that Scrooge loses more by avoiding family gatherings and Christmas cheer.""Scrooge\'s relationship with his nephew highlights the contrast between their different views on Christmas and joy."', 'source_id': 'chunk-91614df5cb74cbe5e109a338a82041e9chunk-773d0df1dd25c356f7b771d780583e09chunk-5dac41b3f9eeaf794f0147400b1718cdchunk-74e2466de2f67fd710ef2f20c0a8d9e0'} -2024-10-30 06:50:51,338 - lightrag - INFO - get_edge:query: - MATCH (start:`GHOST OF CHRISTMAS YET TO COME`)-[r]->(end:`SPIRIT`) - RETURN properties(r) as edge_properties - LIMIT 1 - :result:{'keywords': '"foreshadowing, guidance"', 'weight': 7.0, 'description': '"The Spirit is connected to the Ghost of Christmas Yet to Come as both serve to illustrate potential future outcomes for Scrooge."', 'source_id': 'chunk-02baee20cc9463dbe08170a8e1043e32'} -2024-10-30 06:50:51,438 - lightrag - INFO - get_edge:query: - MATCH (start:`MISERY'S REFUGE`)-[r]->(end:`SPIRIT`) - RETURN properties(r) as edge_properties - LIMIT 1 - :result:{'keywords': '"social awareness, empathy"', 'weight': 10.0, 'description': '"The Spirit\'s presence in Misery\'s Refuge underscores the necessity for societal compassion during difficult times."', 'source_id': 'chunk-e7637ff18c5ded77a68cce0a87883fad'} -2024-10-30 06:50:51,532 - lightrag - INFO - get_edge:query: - MATCH (start:`SCROOGE`)-[r]->(end:`THE CHURCH`) - RETURN properties(r) as edge_properties - LIMIT 1 - :result:{'keywords': '"community, spirituality"', 'weight': 9.0, 'description': '"Scrooge\'s visit to The Church reflects his desire to embrace the spirit of Christmas and community engagement."', 'source_id': 'chunk-8f738cb25d60a7dab782162d9d0a25ed'} -2024-10-30 06:50:51,625 - lightrag - INFO - get_edge:query: - MATCH (start:`CHRISTMAS`)-[r]->(end:`PEARS`) - RETURN properties(r) as edge_properties - LIMIT 1 - :result:{'keywords': '"seasonal offerings, tradition"', 'weight': 6.0, 'description': '"Pears are part of the fruits offered during the Christmas season, enhancing festive markets."', 'source_id': 'chunk-99b0ec7f7e006561352b5d65e849611d'} -2024-10-30 06:50:51,721 - lightrag - INFO - get_edge:query: - MATCH (start:`THE FATHER`)-[r]->(end:`THE MOTHER`) - RETURN properties(r) as edge_properties - LIMIT 1 - :result:{'keywords': '"family bond, love""family dynamics, togetherness"', 'weight': 14.0, 'description': '"The Father and The Mother share a loving relationship, supporting each other during the festivities and caring for their family.""The Mother and Father are depicted together, emphasizing family dynamics during the festive occasion."', 'source_id': 'chunk-da2472b4ef2a535b62908f14d0fb0ca9'} -2024-10-30 06:50:51,818 - lightrag - INFO - get_edge:query: - MATCH (start:`SCROOGE`)-[r]->(end:`THE PEOPLE`) - RETURN properties(r) as edge_properties - LIMIT 1 - :result:{'keywords': '"community, joy"', 'weight': 8.0, 'description': '"Scrooge greets The People he encounters with joy and a newfound delight, signaling his welcome transformation."', 'source_id': 'chunk-8f738cb25d60a7dab782162d9d0a25ed'} -2024-10-30 06:50:51,910 - lightrag - INFO - get_edge:query: - MATCH (start:`CRATCHIT FAMILY`)-[r]->(end:`SCROOGE`) - RETURN properties(r) as edge_properties - LIMIT 1 - :result:{'keywords': '"compassion, social awareness"', 'weight': 7.0, 'description': '"Scrooge\'s reflections on the Cratchit family\'s situation symbolize his evolving understanding of compassion and social responsibility."', 'source_id': 'chunk-83ac129dc9b56f84c46760d153d68e93'} -2024-10-30 06:50:52,010 - lightrag - INFO - get_edge:query: - MATCH (start:`CRATCHIT FAMILY`)-[r]->(end:`MRS. CRATCHIT`) - RETURN properties(r) as edge_properties - LIMIT 1 - :result:{'keywords': '"nurturing, familial care"', 'weight': 9.0, 'description': '"Mrs. Cratchit plays a significant role in nurturing the family atmosphere during Christmas by preparing and caring for everyone."', 'source_id': 'chunk-7e2e7ebcc19a53b399dc03aded4743e7'} -2024-10-30 06:50:52,100 - lightrag - INFO - get_edge:query: - MATCH (start:`CHRISTMAS-TIME`)-[r]->(end:`THE PHANTOM`) - RETURN properties(r) as edge_properties - LIMIT 1 - :result:{'keywords': '"supernatural influence, time of reflection"', 'weight': 8.0, 'description': '"The Phantom\'s visits coincide with Christmas time, a time symbolizing reflection, redemption, and moral awakening."', 'source_id': 'chunk-f1a4fbcf1ed86864b9bfd5e8dba4c683'} -2024-10-30 06:50:52,193 - lightrag - INFO - get_edge:query: - MATCH (start:`CHRISTMAS`)-[r]->(end:`GREAT BRITAIN`) - RETURN properties(r) as edge_properties - LIMIT 1 - :result:{'keywords': '"celebration, societal mood""cultural context, celebration"', 'weight': 14.0, 'description': '"Christmas takes place within Great Britain, influencing the cultural depiction of the holiday and the activities that occur.")"The celebration of Christmas brings a cheerful atmosphere to Great Britain despite the gloomy weather conditions."', 'source_id': 'chunk-99b0ec7f7e006561352b5d65e849611d'} -2024-10-30 06:50:52,285 - lightrag - INFO - get_edge:query: - MATCH (start:`GHOST OF CHRISTMAS YET TO COME`)-[r]->(end:`SCROOGE`) - RETURN properties(r) as edge_properties - LIMIT 1 - :result:{'keywords': '"forewarning, change""future consequences, redemption"', 'weight': 38.0, 'description': '"The Ghost of Christmas Yet to Come presents a foreboding vision of Scrooge\'s future, driving home the need for personal change.""The Ghost of Christmas Yet to Come presents a foreboding vision of Scrooge\'s future, driving home the need for personal change.""The Ghost shows Scrooge visions of the future, challenging him to change his ways to avoid a grim destiny.""The Ghost shows Scrooge visions of the future, challenging him to change his ways to avoid a grim destiny."', 'source_id': 'chunk-02baee20cc9463dbe08170a8e1043e32chunk-9e3921da66da5d761ab73cd849af6c43'} -2024-10-30 06:50:52,380 - lightrag - INFO - get_edge:query: - MATCH (start:`CHRISTMAS`)-[r]->(end:`HOLLY`) - RETURN properties(r) as edge_properties - LIMIT 1 - :result:{'keywords': '"festive decorations, holiday spirit"', 'weight': 8.0, 'description': '"Holly contributes to the festive decorations associated with the Christmas celebration."', 'source_id': 'chunk-99b0ec7f7e006561352b5d65e849611d'} -2024-10-30 06:50:52,473 - lightrag - INFO - get_edge:query: - MATCH (start:`SCROOGE`)-[r]->(end:`SHADOW OF HIMSELF`) - RETURN properties(r) as edge_properties - LIMIT 1 - :result:{'keywords': '"introspection, personal growth"', 'weight': 9.0, 'description': '"Scrooge hopes to learn from the Shadow of Himself, signifying his desire for personal growth and understanding of his life choices."', 'source_id': 'chunk-f1a4fbcf1ed86864b9bfd5e8dba4c683'} -2024-10-30 06:50:52,566 - lightrag - INFO - get_edge:query: - MATCH (start:`SCROOGE`)-[r]->(end:`THE CLERK`) - RETURN properties(r) as edge_properties - LIMIT 1 - :result:{'keywords': '"contrast in attitudes, workplace dynamics""unfair treatment, workplace dynamics"', 'weight': 13.0, 'description': '"Scrooge\'s treatment of the Clerk highlights his miserly and cruel nature, contributing to an oppressive work environment.""The Clerk represents the festive spirit of Christmas that Scrooge dismisses, showcasing Scrooge\'s coldness."', 'source_id': 'chunk-74e2466de2f67fd710ef2f20c0a8d9e0chunk-5dac41b3f9eeaf794f0147400b1718cd'} -2024-10-30 06:50:52,662 - lightrag - INFO - get_edge:query: - MATCH (start:`SCROOGE`)-[r]->(end:`THE GHOST OF JACOB MARLEY`) - RETURN properties(r) as edge_properties - LIMIT 1 - :result:{'keywords': '"transformation, warning"', 'weight': 10.0, 'description': '"Scrooge\'s encounter with the Ghost of Jacob Marley initiates his journey of self-reflection and realization."', 'source_id': 'chunk-90b95db5c53e4364a6bee36b7aa4d70f'} -2024-10-30 06:50:52,753 - lightrag - INFO - get_edge:query: - MATCH (start:`CHRISTMAS`)-[r]->(end:`GEESE`) - RETURN properties(r) as edge_properties - LIMIT 1 - :result:{'keywords': '"culinary tradition, celebration"', 'weight': 9.0, 'description': '"Geese are commonly served at Christmas dinners, forming part of the holiday feast."', 'source_id': 'chunk-99b0ec7f7e006561352b5d65e849611d'} -2024-10-30 06:50:52,849 - lightrag - INFO - get_edge:query: - MATCH (start:`SCROOGE`)-[r]->(end:`THE MAIN STREET`) - RETURN properties(r) as edge_properties - LIMIT 1 - :result:{'keywords': '"social dynamics, personal struggle"', 'weight': 6.0, 'description': '"Scrooge\'s experiences on The Main Street during Christmas time reflect his discontent with the surrounding joy and celebrations."', 'source_id': 'chunk-90d5764e301321c087f5a8f78b73a145'} -2024-10-30 06:50:52,945 - lightrag - INFO - get_edge:query: - MATCH (start:`SCROOGE`)-[r]->(end:`VALENTINE`) - RETURN properties(r) as edge_properties - LIMIT 1 - :result:{'keywords': '"childhood, sentiment""family memories, nostalgia"', 'weight': 12.0, 'description': '"Scrooge\'s memory of Valentine and Orson illustrates the childhood connections that shape his sentiments during Christmas.""Scrooge\'s mention of Valentine signifies his memories of familial ties and childhood experiences during Christmas."', 'source_id': 'chunk-8590d9263cd2cd4fa583c432fc54e6c3'} -2024-10-30 06:50:53,038 - lightrag - INFO - get_edge:query: - MATCH (start:`SCROOGE`)-[r]->(end:`THE GHOST OF CHRISTMAS FUTURE`) - RETURN properties(r) as edge_properties - LIMIT 1 - :result:{'keywords': '"consequences, transformation"', 'weight': 8.0, 'description': '"The Ghost of Christmas Future reveals the dire consequences of Scrooge\'s current behavior, prompting a desire for change."', 'source_id': 'chunk-90b95db5c53e4364a6bee36b7aa4d70f'} -2024-10-30 06:50:53,129 - lightrag - INFO - get_edge:query: - MATCH (start:`SCROOGE`)-[r]->(end:`TWELFTH-NIGHT PARTY`) - RETURN properties(r) as edge_properties - LIMIT 1 - :result:{'keywords': '"celebration, contrast"', 'weight': 8.0, 'description': '"The Twelfth-Night Party serves as a representation of festive joy that contrasts with Scrooge\'s initial isolation."', 'source_id': 'chunk-e7637ff18c5ded77a68cce0a87883fad'} -2024-10-30 06:50:53,223 - lightrag - INFO - get_edge:query: - MATCH (start:`THE CRATCHIT FAMILY`)-[r]->(end:`THE DINNER`) - RETURN properties(r) as edge_properties - LIMIT 1 - :result:{'keywords': '"family unity, celebration"', 'weight': 20.0, 'description': '"The Cratchit Family comes together for The Dinner, showcasing their unity and holiday spirit, despite their modest means."', 'source_id': 'chunk-503f0bfa5453467c7c61d160a3540eca'} -2024-10-30 06:50:53,318 - lightrag - INFO - get_edge:query: - MATCH (start:`BOB CRATCHIT`)-[r]->(end:`THE COUNTING-HOUSE`) - RETURN properties(r) as edge_properties - LIMIT 1 - :result:{'keywords': '"employment, servitude"', 'weight': 6.0, 'description': '"Bob Cratchit works at The Counting-House, emphasizing his servitude and the dismal working conditions under Scrooge."', 'source_id': 'chunk-d9aac3484185ac66045df92214d245d5'} -2024-10-30 06:50:53,413 - lightrag - INFO - get_edge:query: - MATCH (start:`DEATH`)-[r]->(end:`THE BED`) - RETURN properties(r) as edge_properties - LIMIT 1 - :result:{'keywords': '"finality, mortality"', 'weight': 16.0, 'description': '"Death is inherently linked to The Bed as the resting place of the deceased, symbolizing the finality of life and the legacy left behind."', 'source_id': 'chunk-e1f29eeadc1d8ab46dc8a0bbd3c56b64'} -2024-10-30 06:50:53,507 - lightrag - INFO - get_edge:query: - MATCH (start:`CITY`)-[r]->(end:`SPIRIT`) - RETURN properties(r) as edge_properties - LIMIT 1 - :result:{'keywords': '"atmospheric change, reality"', 'weight': 12.0, 'description': '"The Spirit’s presence affects the atmosphere of the City, showcasing the stark realities of life and death surrounding Scrooge."', 'source_id': 'chunk-02baee20cc9463dbe08170a8e1043e32'} -2024-10-30 06:50:53,599 - lightrag - INFO - get_edge:query: - MATCH (start:`CHRISTMAS FEAST`)-[r]->(end:`CRATCHIT FAMILY`) - RETURN properties(r) as edge_properties - LIMIT 1 - :result:{'keywords': '"family gathering, significance"', 'weight': 9.0, 'description': '"The Christmas Feast is a pivotal event for the Cratchit Family where they express their feelings and celebrate together."', 'source_id': 'chunk-19d72c57ae3408758b18d2568e86dc6b'} -2024-10-30 06:50:53,693 - lightrag - INFO - get_edge:query: - MATCH (start:`CRATCHIT FAMILY`)-[r]->(end:`MARTHA`) - RETURN properties(r) as edge_properties - LIMIT 1 - :result:{'keywords': '"family interaction, celebration"', 'weight': 7.0, 'description': '"Martha contributes to the family dynamic during their Christmas gathering by sharing her experiences and adding to the festive atmosphere."', 'source_id': 'chunk-19d72c57ae3408758b18d2568e86dc6b'} -2024-10-30 06:50:53,786 - lightrag - INFO - get_edge:query: - MATCH (start:`SCROOGE`)-[r]->(end:`THE BUSINESSMEN`) - RETURN properties(r) as edge_properties - LIMIT 1 - :result:{'keywords': '"societal apathy, lack of empathy"', 'weight': 8.0, 'description': '"Scrooge’s death is discussed among the Businessmen, who show a lack of concern, exemplifying the indifference of society."', 'source_id': 'chunk-02baee20cc9463dbe08170a8e1043e32'} -2024-10-30 06:50:53,880 - lightrag - INFO - get_edge:query: - MATCH (start:`SCROOGE`)-[r]->(end:`THE GENTLEMAN`) - RETURN properties(r) as edge_properties - LIMIT 1 - :result:{'keywords': '"charity, conflict of values""charity, social responsibility"', 'weight': 16.0, 'description': '"Scrooge and The Gentleman have opposing views on charity and helping the poor during Christmas, showing a stark contrast in values.""Scrooge and the Gentleman engage in a discussion about the responsibilities to the poor, underlining Scrooge\'s disdain for charitable contributions."', 'source_id': 'chunk-90d5764e301321c087f5a8f78b73a145'} -2024-10-30 06:50:53,976 - lightrag - INFO - get_edge:query: - MATCH (start:`JACOB MARLEY`)-[r]->(end:`THE GHOST`) - RETURN properties(r) as edge_properties - LIMIT 1 - :result:{'keywords': '"spectral representation, message delivery""spiritual guidance, past connections"', 'weight': 18.0, 'description': '"Jacob Marley is embodied by The Ghost, which serves to relay messages about regret and the imperative of kindness to Scrooge.""The Ghost is the spectral form of Jacob Marley, representing his ongoing existence and his desire to communicate a warning to Scrooge."', 'source_id': 'chunk-1aa50206d02ed89418f65f97c6441d1cchunk-359187e7571bda4b0b08b2e0b6581e52'} -2024-10-30 06:50:54,071 - lightrag - INFO - get_edge:query: - MATCH (start:`MASTER SCROOGE`)-[r]->(end:`SCROOGE`) - RETURN properties(r) as edge_properties - LIMIT 1 - :result:{'keywords': '"nostalgia, identity"', 'weight': 9.0, 'description': '"The young Master Scrooge represents Scrooge\'s earlier aspirations and innocence, contrasting with his current self."', 'source_id': 'chunk-c6c248858d1b13ab7ee9ca13c1aeed6b'} -2024-10-30 06:50:54,166 - lightrag - INFO - get_edge:query: - MATCH (start:`MANSION`)-[r]->(end:`SCROOGE`) - RETURN properties(r) as edge_properties - LIMIT 1 - :result:{'keywords': '"symbolism, emotional state"', 'weight': 16.0, 'description': '"The Mansion symbolizes the neglect and decay that parallels Scrooge\'s own emotional state and memories of his past."', 'source_id': 'chunk-8590d9263cd2cd4fa583c432fc54e6c3'} -2024-10-30 06:50:54,260 - lightrag - INFO - get_edge:query: - MATCH (start:`CHRISTMAS`)-[r]->(end:`FRENCH PLUMS`) - RETURN properties(r) as edge_properties - LIMIT 1 - :result:{'keywords': '"seasonal offerings, festive foods"', 'weight': 6.0, 'description': '"French Plums are included in the festive offerings, creating a rich holiday atmosphere."', 'source_id': 'chunk-99b0ec7f7e006561352b5d65e849611d'} -2024-10-30 06:50:54,358 - lightrag - INFO - get_edge:query: - MATCH (start:`CHRISTMAS`)-[r]->(end:`FIGS`) - RETURN properties(r) as edge_properties - LIMIT 1 - :result:{'keywords': '"seasonal offerings, festive foods"', 'weight': 6.0, 'description': '"Figs are highlighted among the festive foods offered during Christmas, enhancing markets."', 'source_id': 'chunk-99b0ec7f7e006561352b5d65e849611d'} -2024-10-30 06:50:54,453 - lightrag - INFO - get_edge:query: - MATCH (start:`BOB CRATCHIT`)-[r]->(end:`SCROOGE`) - RETURN properties(r) as edge_properties - LIMIT 1 - :result:{'keywords': '"charity, employer-employee relationship""employer-employee dynamics, family values""employer-employee relationship, contrasting values""employment, generosity""employment, power dynamic""employment, social reflection""family dynamics, acknowledgment""generosity, relationship change""generosity, transformation""gratitude, redemption"', 'weight': 69.0, 'description': '"Bob Cratchit discusses Scrooge during Christmas, highlighting the tension between duty towards family and feelings about his employer.""Bob Cratchit tries to maintain a positive atmosphere during the Christmas feast despite the negative association with Scrooge.""Bob praises Scrooge as \'The Founder of the Feast\', showing appreciation despite Scrooge’s previous miserliness.""Scrooge decides to send a turkey to Bob Cratchit, indicating a newfound kindness towards him and his family.""Scrooge is Bob Cratchit\'s employer, and he reflects on the challenges Bob faces regarding family and food on Christmas Day.".""Scrooge is the employer of Bob Cratchit, demonstrating a power dynamic characterized by Scrooge\'s harsh treatment and Bob\'s subservient role.""Scrooge reprimands Bob for arriving late, but ultimately decides to raise his salary, signaling a significant change in their employer-employee relationship.""Scrooge expresses a form of goodwill towards Bob Cratchit by sending a prize turkey, indicating a shift in their relationship.""Scrooge is Bob Cratchit\'s employer, representing a stark divide between their characters, with Scrooge\'s miserly nature contrasting with Bob\'s kindness.""Scrooge\'s transformation leads him to raise Bob\'s salary and assist his struggling family, showing an improvement in their employer-employee relationship."', 'source_id': 'chunk-90b95db5c53e4364a6bee36b7aa4d70fchunk-b0f459f5af1c3a5e0b92cbe4ee48b77bchunk-d9aac3484185ac66045df92214d245d5chunk-19d72c57ae3408758b18d2568e86dc6bchunk-503f0bfa5453467c7c61d160a3540ecachunk-94bea83e7153fc2064aa382b494936a1'} -2024-10-30 06:50:54,549 - lightrag - INFO - get_edge:query: - MATCH (start:`BRIDGE`)-[r]->(end:`SCROOGE`) - RETURN properties(r) as edge_properties - LIMIT 1 - :result:{'keywords': '"memory, landmark"', 'weight': 14.0, 'description': '"The bridge serves as a significant landmark in Scrooge\'s past, reminding him of his childhood and former happiness."', 'source_id': 'chunk-bb21d58d36c6306fd8810ddd51c4a971'} -2024-10-30 06:50:54,658 - lightrag - INFO - get_edge:query: - MATCH (start:`SCROOGE`)-[r]->(end:`THE BEAUTIFUL YOUNG GIRL`) - RETURN properties(r) as edge_properties - LIMIT 1 - :result:{'keywords': '"nostalgia, lost love"', 'weight': 16.0, 'description': '"Scrooge reflects on his past relationship with the young girl, which holds significance in understanding his character\'s regrets."', 'source_id': 'chunk-54bdd22db1f84a965b5f4c06c9216d8d'} -2024-10-30 06:50:54,756 - lightrag - INFO - get_edge:query: - MATCH (start:`MRS. CRATCHIT`)-[r]->(end:`TINY TIM`) - RETURN properties(r) as edge_properties - LIMIT 1 - :result:{'keywords': '"maternal love, support"', 'weight': 9.0, 'description': '"Mrs. Cratchit shows concern for Tiny Tim\'s health and well-being, reflecting her role as a nurturing mother."', 'source_id': 'chunk-1d4b58de5429cd1261370c231c8673e8'} -2024-10-30 06:50:54,854 - lightrag - INFO - get_edge:query: - MATCH (start:`MARTHA`)-[r]->(end:`TINY TIM`) - RETURN properties(r) as edge_properties - LIMIT 1 - :result:{'keywords': '"family ties, support"', 'weight': 5.0, 'description': '"Martha\'s presence and conversation at the gathering impacts Tiny Tim\'s experience and highlights family connections during Christmas."', 'source_id': 'chunk-19d72c57ae3408758b18d2568e86dc6b'} -2024-10-30 06:50:54,949 - lightrag - INFO - get_edge:query: - MATCH (start:`BOB CRATCHIT`)-[r]->(end:`MRS. CRATCHIT`) - RETURN properties(r) as edge_properties - LIMIT 1 - :result:{'keywords': '"family unity, celebration""partnership, family bond""partnership, family unity""partnership, resilience"', 'weight': 32.0, 'description': '"Bob Cratchit and Mrs. Cratchit work together to provide for their family, showcasing partnership and resilience.""Bob and Mrs. Cratchit represent a family working together to create a festive and warm environment despite their limited means.""Mrs. Cratchit supports Bob Cratchit in his parenting efforts and encourages the family’s unity during challenging times.""Mrs. Cratchit supports Bob in caring for their family and exhibits her love for him and their children."', 'source_id': 'chunk-9e3921da66da5d761ab73cd849af6c43chunk-b0f459f5af1c3a5e0b92cbe4ee48b77bchunk-1d4b58de5429cd1261370c231c8673e8'} -2024-10-30 06:50:55,048 - lightrag - INFO - get_edge:query: - MATCH (start:`SCROOGE`)-[r]->(end:`THE BLANKETS`) - RETURN properties(r) as edge_properties - LIMIT 1 - :result:{'keywords': '"neglect, reflection"', 'weight': 8.0, 'description': '"Scrooge contemplates the significance of The Blankets, linking them to the neglected state of The Deceased in death."', 'source_id': 'chunk-e1f29eeadc1d8ab46dc8a0bbd3c56b64'} -2024-10-30 06:50:55,139 - lightrag - INFO - get_edge:query: - MATCH (start:`SCROOGE`)-[r]->(end:`TIM`) - RETURN properties(r) as edge_properties - LIMIT 1 - :result:{'keywords': '"familial connection, emotional depth"', 'weight': 16.0, 'description': '"Scrooge\'s connection to Tim emphasizes emotional depth, reflecting on family and lost connections as part of his character development."', 'source_id': 'chunk-89777b838d5447c7bd1ec11282c4ee89'} -2024-10-30 06:50:55,234 - lightrag - INFO - get_edge:query: - MATCH (start:`MARLEY`)-[r]->(end:`THE HEAVY CHAIN`) - RETURN properties(r) as edge_properties - LIMIT 1 - :result:{'keywords': '"burden, consequence"', 'weight': 18.0, 'description': '"The Heavy Chain is linked to Marley as it suggests the burdens he carries from his earthly life, which he now haunts Scrooge with."', 'source_id': 'chunk-9c43dac2fcd5b578242d907ea6f8fc7b'} -2024-10-30 06:50:55,332 - lightrag - INFO - get_edge:query: - MATCH (start:`MARLEY'S GHOST`)-[r]->(end:`SCROOGE`) - RETURN properties(r) as edge_properties - LIMIT 1 - :result:{'keywords': '"confrontation, supernatural experience""reflection, consequence""supernatural confrontation, regret""supernatural encounter, existential crisis""warning, fate"', 'weight': 43.0, 'description': '"Marley\'s Ghost warns Scrooge about the consequences of his actions and the visits of the three spirits, setting the stage for his transformation.""Scrooge is haunted by Marley\'s Ghost, which confronts him as a part of a supernatural occurrence meant to incite fear and reflection on his life choices.""Scrooge is confronted by Marley\'s Ghost, representing the struggle between his disbelief and the ghost\'s insistence on showing the consequences of Scrooge\'s life choices.""Scrooge is directly confronted by Marley\'s Ghost, leading to confusion and existential questioning on his part.""Scrooge reacts to Marley\'s Ghost, reflecting on his past as he is warned about the consequences of his actions."', 'source_id': 'chunk-c7b10789a9cb0af6c553730b29bd9034chunk-9c43dac2fcd5b578242d907ea6f8fc7bchunk-cb661c37436355ccec2769b1d0350c5fchunk-1aa50206d02ed89418f65f97c6441d1c'} -2024-10-30 06:50:55,428 - lightrag - INFO - get_edge:query: - MATCH (start:`BAD REPUTE`)-[r]->(end:`SCROOGE`) - RETURN properties(r) as edge_properties - LIMIT 1 - :result:{'keywords': '"self-reflection, moral awakening"', 'weight': 9.0, 'description': '"Scrooge\'s experience in areas of Bad Repute forces him to confront the realities of society and his own role within it."', 'source_id': 'chunk-f1a4fbcf1ed86864b9bfd5e8dba4c683'} -2024-10-30 06:50:55,520 - lightrag - INFO - get_edge:query: - MATCH (start:`SCROOGE`)-[r]->(end:`THE OFFICE`) - RETURN properties(r) as edge_properties - LIMIT 1 - :result:{'keywords': '"isolation, work ethic"', 'weight': 12.0, 'description': '"Scrooge\'s office reflects his solitary and business-driven life, showcasing his disconnection from familial and social ties."', 'source_id': 'chunk-da2472b4ef2a535b62908f14d0fb0ca9'} -2024-10-30 06:50:55,616 - lightrag - INFO - get_edge:query: - MATCH (start:`FAN`)-[r]->(end:`SCROOGE`) - RETURN properties(r) as edge_properties - LIMIT 1 - :result:{'keywords': '"family, joy lost""sibling bond, nostalgia"', 'weight': 28.0, 'description': '"Fan\'s loving relationship with her brother Scrooge reflects the lost potential for joy in his life due to his choices.""Fan\'s loving relationship with her brother Scrooge reflects the lost potential for joy in his life due to his choices.""Scrooge and Fan share a sibling bond, with Fan representing innocence and happiness from their childhood, which evokes fond memories for Scrooge.""Scrooge and Fan share a sibling bond, with Fan representing innocence and happiness from their childhood, which evokes fond memories for Scrooge."', 'source_id': 'chunk-c6c248858d1b13ab7ee9ca13c1aeed6bchunk-9e3921da66da5d761ab73cd849af6c43'} -2024-10-30 06:50:55,725 - lightrag - INFO - get_edge:query: - MATCH (start:`CAROLINE`)-[r]->(end:`HOPE`) - RETURN properties(r) as edge_properties - LIMIT 1 - :result:{'keywords': '"emotional resilience, motivation"', 'weight': 16.0, 'description': '"Hope influences Caroline\'s reactions and actions throughout the story, serving as both a motivator and a source of inner conflict."', 'source_id': 'chunk-83ac129dc9b56f84c46760d153d68e93'} -2024-10-30 06:50:55,818 - lightrag - INFO - get_edge:query: - MATCH (start:`MARTHA`)-[r]->(end:`THE COUNTESS`) - RETURN properties(r) as edge_properties - LIMIT 1 - :result:{'keywords': '"social contrast, aspirations"', 'weight': 4.0, 'description': '"Martha\'s encounter with The Countess reflects her aspirations and experiences outside her lower socio-economic status."', 'source_id': 'chunk-19d72c57ae3408758b18d2568e86dc6b'} -2024-10-30 06:50:55,912 - lightrag - INFO - get_edge:query: - MATCH (start:`THE CHILDREN`)-[r]->(end:`THE HOUSE`) - RETURN properties(r) as edge_properties - LIMIT 1 - :result:{'keywords': '"setting, celebration"', 'weight': 7.0, 'description': '"The House serves as the setting for the children\'s joyous activities and emotional expressions during the Christmas event."', 'source_id': 'chunk-da2472b4ef2a535b62908f14d0fb0ca9'} -2024-10-30 06:50:56,009 - lightrag - INFO - get_edge:query: - MATCH (start:`SCROOGE`)-[r]->(end:`THE COLD`) - RETURN properties(r) as edge_properties - LIMIT 1 - :result:{'keywords': '"metaphor, emotional state"', 'weight': 8.0, 'description': '"The Cold serves as a metaphor for Scrooge\'s emotional state, indicating his lack of warmth and compassion."', 'source_id': 'chunk-74e2466de2f67fd710ef2f20c0a8d9e0'} -2024-10-30 06:50:56,104 - lightrag - INFO - get_edge:query: - MATCH (start:`BOB CRATCHIT`)-[r]->(end:`THE CHRISTMAS DINNER`) - RETURN properties(r) as edge_properties - LIMIT 1 - :result:{'keywords': '"family, celebration"', 'weight': 16.0, 'description': '"The Christmas Dinner represents the Cratchit family\'s celebration, with Bob Cratchit at the center of this warm gathering."', 'source_id': 'chunk-90b95db5c53e4364a6bee36b7aa4d70f'} -2024-10-30 06:50:56,198 - lightrag - INFO - get_edge:query: - MATCH (start:`THE YOUNG CRATCHITS`)-[r]->(end:`TINY TIM`) - RETURN properties(r) as edge_properties - LIMIT 1 - :result:{'keywords': '"sibling bond, family dynamics"', 'weight': 16.0, 'description': '"The Young Cratchits enthusiastically engage with Tiny Tim during the celebrations, highlighting the loving dynamics of the Cratchit family."', 'source_id': 'chunk-7e2e7ebcc19a53b399dc03aded4743e7'} -2024-10-30 06:50:56,293 - lightrag - INFO - get_edge:query: - MATCH (start:`PORTLY GENTLEMEN`)-[r]->(end:`SCROOGE`) - RETURN properties(r) as edge_properties - LIMIT 1 - :result:{'keywords': '"charity rejection, conflict"', 'weight': 8.0, 'description': '"Scrooge dismisses the Portly Gentlemen\'s request for donations, rejecting their appeal for charity."', 'source_id': 'chunk-5dac41b3f9eeaf794f0147400b1718cd'} -2024-10-30 06:50:56,390 - lightrag - INFO - get_edge:query: - MATCH (start:`SCROOGE`)-[r]->(end:`THE SPIRIT`) - RETURN properties(r) as edge_properties - LIMIT 1 - :result:{'keywords': '"guidance, self-reflection""guidance, transformation""introspection, guidance""moral guidance, change""moral guidance, transformation""self-reflection, transformation""supernatural guidance, self-reflection""supernatural intervention, guidance"', 'weight': 93.0, 'description': '"Scrooge engages with the Spirit as it reveals memories that prompt significant self-reflection and consideration of change.""Scrooge is guided by the Spirit, who shows him different scenes related to the joy and struggles of Christmas, aiming to change his heart.""The Spirit challenges Scrooge\'s perspective on life, urging him to consider the implications of his actions in light of death.""The Spirit represents an upcoming change in Scrooge\'s life, aiming to guide him towards redemption.""The Spirit represents moral lessons and urges Scrooge to change his ways for a better future.""Scrooge\'s interaction with The Spirit serves as a pivotal moment for him to reflect on his past decisions and seek wisdom.""The Spirit guides Scrooge through his memories, facilitating his emotional journey and transformation.""The Spirit interacts with Scrooge, guiding him to confront his past and future, emphasizing change and moral growth.""The Spirit is guiding Scrooge through different scenes, aiming to transform his character and perspective on life.""The Spirit serves as the medium for Scrooge\'s journey of self-discovery and accountability."', 'source_id': 'chunk-da2472b4ef2a535b62908f14d0fb0ca9chunk-e1f29eeadc1d8ab46dc8a0bbd3c56b64chunk-91614df5cb74cbe5e109a338a82041e9chunk-91572b3cd42786ba4cb2f180ca25cbf4chunk-f1a4fbcf1ed86864b9bfd5e8dba4c683chunk-8590d9263cd2cd4fa583c432fc54e6c3chunk-b2f98bc7abb0c67d4c86055c7fd72218'} -2024-10-30 06:50:56,484 - lightrag - INFO - get_edge:query: - MATCH (start:`MARKET-TOWN`)-[r]->(end:`SCROOGE`) - RETURN properties(r) as edge_properties - LIMIT 1 - :result:{'keywords': '"memory, childhood""nostalgia, memory"', 'weight': 15.0, 'description': '"Scrooge encounters the market-town in his memories, triggering feelings of recognition and emotional reflection.""Scrooge recognizes the Market-Town, eliciting fond memories from his childhood and emphasizing his emotional response to the past."', 'source_id': 'chunk-bb21d58d36c6306fd8810ddd51c4a971'} -2024-10-30 06:50:56,576 - lightrag - INFO - get_edge:query: - MATCH (start:`BOB CRATCHIT`)-[r]->(end:`EBENEZER SCROOGE`) - RETURN properties(r) as edge_properties - LIMIT 1 - :result:{'keywords': '"employment, power dynamics""workplace dynamics, social contrast"', 'weight': 13.0, 'description': '"Bob Cratchit works for Ebenezer Scrooge, embodying the struggles of the working class in contrast to Scrooge\'s miserliness.""Ebenezer Scrooge is Bob Cratchit\'s employer, representing a dynamic of power and struggle in their relationship."', 'source_id': 'chunk-9e3921da66da5d761ab73cd849af6c43'} -2024-10-30 06:50:56,671 - lightrag - INFO - get_edge:query: - MATCH (start:`CAMDEN TOWN`)-[r]->(end:`SCROOGE`) - RETURN properties(r) as edge_properties - LIMIT 1 - :result:{'keywords': '"logistics, festive preparation"', 'weight': 5.0, 'description': '"Scrooge mentions Camden Town in relation to the impracticality of delivering a large turkey there."', 'source_id': 'chunk-8f738cb25d60a7dab782162d9d0a25ed'} -2024-10-30 06:50:56,763 - lightrag - INFO - get_edge:query: - MATCH (start:`CHILD`)-[r]->(end:`SCROOGE`) - RETURN properties(r) as edge_properties - LIMIT 1 - :result:{'keywords': '"self-reflection, past connection"', 'weight': 16.0, 'description': '"Scrooge sees his younger self in the solitary child, sparking deep emotional reflections about his past and choices."', 'source_id': 'chunk-8590d9263cd2cd4fa583c432fc54e6c3'} -2024-10-30 06:50:56,863 - lightrag - INFO - get_edge:query: - MATCH (start:`BOB CRATCHIT`)-[r]->(end:`MARTHA`) - RETURN properties(r) as edge_properties - LIMIT 1 - :result:{'keywords': '"family reunion, surprise"', 'weight': 16.0, 'description': '"Martha surprises Bob Cratchit by coming home late for Christmas dinner, showing the family\'s love and warmth in reunions."', 'source_id': 'chunk-7e2e7ebcc19a53b399dc03aded4743e7'} -2024-10-30 06:50:56,957 - lightrag - INFO - get_edge:query: - MATCH (start:`SCROOGE`)-[r]->(end:`THE GHOST OF CHRISTMAS YET TO COME`) - RETURN properties(r) as edge_properties - LIMIT 1 - :result:{'keywords': '"consequence, introspection""consequences, change""consequences, fear""guidance, self-confrontation"', 'weight': 39.0, 'description': '"The Ghost guides Scrooge to confront his potential future that threatens his existence.""The Ghost is critical in revealing the consequences of Scrooge\'s life choices, pushing for change.""The Ghost of Christmas Yet to Come presents Scrooge with a vision of his possible future, instilling fear and prompting change.""The Ghost of Christmas Yet to Come shows Scrooge the consequences of his life choices, prompting introspection and desire for change."', 'source_id': 'chunk-91572b3cd42786ba4cb2f180ca25cbf4chunk-90b95db5c53e4364a6bee36b7aa4d70f'} -2024-10-30 06:50:57,051 - lightrag - INFO - get_edge:query: - MATCH (start:`SCROOGE`)-[r]->(end:`THE PHANTOM`) - RETURN properties(r) as edge_properties - LIMIT 1 - :result:{'keywords': '"guidance, reflection""guidance, self-reflection"', 'weight': 17.0, 'description': '"Scrooge interacts with the Phantom, which guides him through reflections on his life and future, emphasizing his journey of change.""The Phantom interacts with Scrooge, pointing him towards the importance of reflections on mortality and social connections."', 'source_id': 'chunk-f1a4fbcf1ed86864b9bfd5e8dba4c683'} -2024-10-30 06:50:57,144 - lightrag - INFO - get_edge:query: - MATCH (start:`SPIRIT`)-[r]->(end:`WANT`) - RETURN properties(r) as edge_properties - LIMIT 1 - :result:{'keywords': '"social issues, need for compassion""social warning, deprivation"', 'weight': 30.0, 'description': '"The Spirit points out Want, symbolizing the dire consequences of neglecting societal needs.""The Spirit points out Want, symbolizing the dire consequences of neglecting societal needs.""The Spirit presents Want along with Ignorance, symbolizing the plight of the less fortunate and appealing for compassion.""The Spirit presents Want along with Ignorance, symbolizing the plight of the less fortunate and appealing for compassion."', 'source_id': 'chunk-02baee20cc9463dbe08170a8e1043e32chunk-e7637ff18c5ded77a68cce0a87883fad'} -2024-10-30 06:50:57,236 - lightrag - INFO - get_edge:query: - MATCH (start:`CHRISTMAS`)-[r]->(end:`PEOPLE`) - RETURN properties(r) as edge_properties - LIMIT 1 - :result:{'keywords': '"community celebration, joy"', 'weight': 18.0, 'description': '"The People are actively engaged in the celebration of Christmas, demonstrating joy and festivity despite the harsh weather conditions."', 'source_id': 'chunk-99b0ec7f7e006561352b5d65e849611d'} -2024-10-30 06:50:57,330 - lightrag - INFO - get_edge:query: - MATCH (start:`FRIDAY`)-[r]->(end:`SCROOGE`) - RETURN properties(r) as edge_properties - LIMIT 1 - :result:{'keywords': '"storytelling, childhood memories"', 'weight': 5.0, 'description': '"Scrooge\'s mention of Friday signifies his recollection of childhood stories and influences during Christmas time."', 'source_id': 'chunk-8590d9263cd2cd4fa583c432fc54e6c3'} -2024-10-30 06:50:57,424 - lightrag - INFO - get_edge:query: - MATCH (start:`MARLEY`)-[r]->(end:`THE GHOST`) - RETURN properties(r) as edge_properties - LIMIT 1 - :result:{'keywords': '"haunting, past choices"', 'weight': 18.0, 'description': '"Marley is the embodiment of The Ghost that appears to Scrooge, representing past choices and the consequences of his actions."', 'source_id': 'chunk-9c43dac2fcd5b578242d907ea6f8fc7b'} -2024-10-30 06:50:57,518 - lightrag - INFO - get_edge:query: - MATCH (start:`BOB CRATCHIT`)-[r]->(end:`THE COUNTING-HOUSE CLERK`) - RETURN properties(r) as edge_properties - LIMIT 1 - :result:{'keywords': '"workforce dynamics, character contrast"', 'weight': 12.0, 'description': '"Bob Cratchit and The Counting-House Clerk represent the working class under Scrooge\'s employment, showcasing different character traits in the context of their work."', 'source_id': 'chunk-d9aac3484185ac66045df92214d245d5'} -2024-10-30 06:50:57,611 - lightrag - INFO - get_edge:query: - MATCH (start:`FROST`)-[r]->(end:`SCROOGE`) - RETURN properties(r) as edge_properties - LIMIT 1 - :result:{'keywords': '"atmospheric condition, characterization"', 'weight': 8.0, 'description': '"Frost enhances the chilling atmosphere around Scrooge\'s life and mindset, reflecting his cold character."', 'source_id': 'chunk-d9aac3484185ac66045df92214d245d5'} -2024-10-30 06:50:57,704 - lightrag - INFO - get_edge:query: - MATCH (start:`SCROOGE`)-[r]->(end:`THE FOUNDER OF THE FEAST`) - RETURN properties(r) as edge_properties - LIMIT 1 - :result:{'keywords': '"gratitude, recognition"', 'weight': 16.0, 'description': '"Scrooge\'s contribution as The Founder of the Feast is acknowledged by Bob, highlighting the connection between Scrooge and the Cratchit family\'s Christmas dinner."', 'source_id': 'chunk-503f0bfa5453467c7c61d160a3540eca'} -2024-10-30 06:50:57,797 - lightrag - INFO - get_edge:query: - MATCH (start:`SCROOGE`)-[r]->(end:`THE MEMORY`) - RETURN properties(r) as edge_properties - LIMIT 1 - :result:{'keywords': '"reflection, impact of past"', 'weight': 16.0, 'description': '"Scrooge\'s memories play a crucial role in shaping his perspective on love and happiness as he confronts his past."', 'source_id': 'chunk-54bdd22db1f84a965b5f4c06c9216d8d'} -2024-10-30 06:50:57,891 - lightrag - INFO - get_edge:query: - MATCH (start:`CHRISTMAS`)-[r]->(end:`TURKEYS`) - RETURN properties(r) as edge_properties - LIMIT 1 - :result:{'keywords': '"culinary tradition, celebration"', 'weight': 9.0, 'description': '"Turkeys are a traditional dish served during Christmas, contributing to the celebratory meal."', 'source_id': 'chunk-99b0ec7f7e006561352b5d65e849611d'} -2024-10-30 06:50:57,985 - lightrag - INFO - get_edge:query: - MATCH (start:`SCROOGE`)-[r]->(end:`THE MOURNING DRESS`) - RETURN properties(r) as edge_properties - LIMIT 1 - :result:{'keywords': '"loss, emotional distance"', 'weight': 16.0, 'description': '"The Mourning Dress symbolizes Scrooge\'s unfulfilled relationships and the emotional consequences of his choices."', 'source_id': 'chunk-b2f98bc7abb0c67d4c86055c7fd72218'} -2024-10-30 06:50:58,081 - lightrag - INFO - get_edge:query: - MATCH (start:`BOB CRATCHIT`)-[r]->(end:`MR. SCROOGE'S NEPHEW`) - RETURN properties(r) as edge_properties - LIMIT 1 - :result:{'keywords': '"kindness, community support""kindness, support"', 'weight': 14.0, 'description': '"Bob Cratchit shares a positive interaction with Mr. Scrooge\'s Nephew, who expresses kindness and concern for his family.""Mr. Scrooge\'s Nephew expresses sympathy and kindness towards Bob, reinforcing community and support."', 'source_id': 'chunk-1d4b58de5429cd1261370c231c8673e8'} -2024-10-30 06:50:58,173 - lightrag - INFO - get_edge:query: - MATCH (start:`MR. FEZZIWIG`)-[r]->(end:`SCROOGE`) - RETURN properties(r) as edge_properties - LIMIT 1 - :result:{'keywords': '"kindness, influence"', 'weight': 16.0, 'description': '"Mr. Fezziwig\'s kindness towards employees influences Scrooge\'s eventual change in attitude toward generosity and business."', 'source_id': 'chunk-9e3921da66da5d761ab73cd849af6c43'} -2024-10-30 06:50:58,270 - lightrag - INFO - get_edge:query: - MATCH (start:`SCROOGE`)-[r]->(end:`SMOKING BISHOP`) - RETURN properties(r) as edge_properties - LIMIT 1 - :result:{'keywords': '"celebration, warmth"', 'weight': 18.0, 'description': '"Scrooge and Bob\'s plans to enjoy Smoking Bishop together symbolize the welcoming of joy and warmth during the Christmas season."', 'source_id': 'chunk-94bea83e7153fc2064aa382b494936a1'} -2024-10-30 06:50:58,361 - lightrag - INFO - get_edge:query: - MATCH (start:`HOSPITAL`)-[r]->(end:`SPIRIT`) - RETURN properties(r) as edge_properties - LIMIT 1 - :result:{'keywords': '"care, compassion"', 'weight': 8.0, 'description': '"The Spirit uses the Hospital to demonstrate humanity\'s capacity for care and its responsibility towards the sick and needy."', 'source_id': 'chunk-e7637ff18c5ded77a68cce0a87883fad'} -2024-10-30 06:50:58,453 - lightrag - INFO - get_edge:query: - MATCH (start:`THE GHOST`)-[r]->(end:`THE SPIRIT`) - RETURN properties(r) as edge_properties - LIMIT 1 - :result:{'keywords': '"supernatural influence, guidance"', 'weight': 8.0, 'description': '"The Ghost acts as a precursor to The Spirit, both influencing Scrooge\'s journey of enlightenment and redemption."', 'source_id': 'chunk-da2472b4ef2a535b62908f14d0fb0ca9'} -2024-10-30 06:50:58,548 - lightrag - INFO - get_edge:query: - MATCH (start:`SCROOGE`)-[r]->(end:`THE COUNTING-HOUSE`) - RETURN properties(r) as edge_properties - LIMIT 1 - :result:{'keywords': '"work environment, character development""work environment, emotional landscape""work environment, personality reflection"', 'weight': 20.0, 'description': '"Scrooge\'s work environment reflects his personality, being cold and uninviting, mirroring his discontent with life.""The Counting-House is where Scrooge works, illustrating the environment that shapes his bleak personality.""The Counting-House represents Scrooge\'s work environment, which is devoid of warmth, paralleling Scrooge\'s cold demeanor."', 'source_id': 'chunk-d9aac3484185ac66045df92214d245d5chunk-74e2466de2f67fd710ef2f20c0a8d9e0'} -2024-10-30 06:50:58,640 - lightrag - INFO - get_edge:query: - MATCH (start:`DARKNESS`)-[r]->(end:`SCROOGE`) - RETURN properties(r) as edge_properties - LIMIT 1 - :result:{'keywords': '"themes, isolation"', 'weight': 9.0, 'description': '"Darkness symbolizes Scrooge\'s internal feelings of isolation and regret, presenting the overall mood of his journey towards potential redemption."', 'source_id': 'chunk-9c43dac2fcd5b578242d907ea6f8fc7b'} -2024-10-30 06:50:58,736 - lightrag - INFO - get_edge:query: - MATCH (start:`CHRISTMAS`)-[r]->(end:`SCROOGE`) - RETURN properties(r) as edge_properties - LIMIT 1 - :result:{'keywords': '"character development, festive spirit""conflict, holiday spirit""contrast, seasonal significance""disconnection, festive spirit""holiday significance, reflection""holiday significance, transformation""holiday spirit, social critique""nostalgia, reflection""reflection, redemption""rejection, festive spirit""renewal, change""seasonal significance, emotional reflection""transformation, disdain""transformation, festive spirit""transformation, holiday significance""transformation, holiday spirit"', 'weight': 169.0, 'description': '"Christmas becomes a focal point for Scrooge\'s promise to change and embrace life, symbolizing hope and renewal.""Christmas is a central theme that invokes Scrooge\'s memories of his past, his feelings of loneliness, and his desire to connect.""Christmas serves as a focal point for Scrooge\'s emotional reflections on joy and his disconnect from societal celebrations.""Christmas serves as the catalyst for Scrooge\'s transformation, highlighting themes of giving and compassion.""Scrooge expresses disdain for Christmas, viewing it as a burden rather than a celebration.""Scrooge\'s attitude towards Christmas highlights his disconnection from the festive spirit and charity associated with the holiday.""Scrooge\'s character contrasts sharply with the joy of Christmas, highlighting his disdain for the festive season.""Scrooge\'s experience during the Christmas event highlights the transformation of his character and the spirit of the holiday.""Scrooge\'s journey with the Spirit ultimately leads him to reflect on the meaning of Christmas and its impact on human connections.""Scrooge\'s transformation and newfound joy are directly linked to the spirit of Christmas.""Scrooge\'s transformation is centered around the spirit of Christmas, which he learns to embrace and celebrate.""Scrooge\'s views on Christmas evolve as he witnesses the joy and familial love associated with the holiday, marking a shift in his character.""Scrooge reflects on Christmas with a mix of emotions, highlighting its importance in his life and character arc.""Scrooge\'s attitude towards Christmas is one of disdain, setting the stage for his eventual transformation as he confronts the meaning of the holiday.""Scrooge\'s involvement in the Christmas activities represents a significant moment of change in his character, as he becomes more engaged and merry.""Scrooge\'s refusal to celebrate Christmas reflects his overall attitude towards generosity and societal obligations during this festive time.""Scrooge\'s rejection of Christmas embodies his overall discord with the spirit of the holiday, viewing it as a time of financial burden instead of joy.""Scrooge\'s transformation is closely linked to the celebration of Christmas, highlighting themes of giving and joy.""Scrooge\'s transformation is closely tied to the spirit of Christmas, marking a significant personal change during this event."', 'source_id': 'chunk-43c9bee23adfa77aa9dedd22401bba7dchunk-74e2466de2f67fd710ef2f20c0a8d9e0chunk-89777b838d5447c7bd1ec11282c4ee89chunk-e7637ff18c5ded77a68cce0a87883fadchunk-da2472b4ef2a535b62908f14d0fb0ca9chunk-90d5764e301321c087f5a8f78b73a145chunk-91614df5cb74cbe5e109a338a82041e9chunk-91572b3cd42786ba4cb2f180ca25cbf4chunk-8f738cb25d60a7dab782162d9d0a25edchunk-94bea83e7153fc2064aa382b494936a1chunk-54bdd22db1f84a965b5f4c06c9216d8dchunk-8590d9263cd2cd4fa583c432fc54e6c3chunk-99b0ec7f7e006561352b5d65e849611d'} -2024-10-30 06:50:58,832 - lightrag - INFO - get_edge:query: - MATCH (start:`DEATH`)-[r]->(end:`THE FUTURE`) - RETURN properties(r) as edge_properties - LIMIT 1 - :result:{'keywords': '"consequences of choices, reflection"', 'weight': 7.0, 'description': '"The concept of The Future is intricately linked to discussions about Death, pondering the consequences of life\'s choices."', 'source_id': 'chunk-02baee20cc9463dbe08170a8e1043e32'} -2024-10-30 06:50:58,927 - lightrag - INFO - get_edge:query: - MATCH (start:`SCROOGE`)-[r]->(end:`THE FOG AND FROST`) - RETURN properties(r) as edge_properties - LIMIT 1 - :result:{'keywords': '"atmosphere, emotional coldness"', 'weight': 14.0, 'description': '"The Fog and Frost enveloping Scrooge\'s home reflect the chilling atmosphere of his life and his emotional coldness."', 'source_id': 'chunk-d9aac3484185ac66045df92214d245d5'} -2024-10-30 06:50:59,022 - lightrag - INFO - get_edge:query: - MATCH (start:`SCROOGE`)-[r]->(end:`THE WINE-MERCHANT'S CELLAR`) - RETURN properties(r) as edge_properties - LIMIT 1 - :result:{'keywords': '"atmosphere, haunting"', 'weight': 16.0, 'description': '"Scrooge hears the dragging chains from The Wine-Merchant\'s Cellar, indicating that the haunting presence is felt throughout The House."', 'source_id': 'chunk-9c43dac2fcd5b578242d907ea6f8fc7b'} -2024-10-30 06:50:59,114 - lightrag - INFO - get_edge:query: - MATCH (start:`SCROOGE`)-[r]->(end:`THE CITY`) - RETURN properties(r) as edge_properties - LIMIT 1 - :result:{'keywords': '"disconnection, personal evolution""reflection, urban life""transformation, community""urban setting, contrast"', 'weight': 26.0, 'description': '"Scrooge\'s reflections in the City highlight his relationship with his past and the contrast of his current life.""Scrooge\'s relationship with The City is marked by detachment, representing his lost connection to his past self and experiences.""Scrooge\'s transformation impacts The City as he learns to embrace Christmas spirit and generosity within his community.""The City serves as a backdrop for Scrooge\'s memories, contrasting the vibrant life he once had with his current isolation."', 'source_id': 'chunk-c6c248858d1b13ab7ee9ca13c1aeed6bchunk-94bea83e7153fc2064aa382b494936a1chunk-bb21d58d36c6306fd8810ddd51c4a971'} -2024-10-30 06:50:59,208 - lightrag - INFO - get_edge:query: - MATCH (start:`SCROOGE`)-[r]->(end:`THE PRIME OF LIFE`) - RETURN properties(r) as edge_properties - LIMIT 1 - :result:{'keywords': '"reflection, life choices"', 'weight': 18.0, 'description': '"Scrooge reflects on his Prime of Life, contrasting it with his current state and the sacrifices he has made for wealth."', 'source_id': 'chunk-b2f98bc7abb0c67d4c86055c7fd72218'} -2024-10-30 06:50:59,299 - lightrag - INFO - get_edge:query: - MATCH (start:`SCROOGE`)-[r]->(end:`THE PAST`) - RETURN properties(r) as edge_properties - LIMIT 1 - :result:{'keywords': '"self-reflection, choices"', 'weight': 9.0, 'description': '"Scrooge must acknowledge The Past to understand his current situation and guide his choices for the future."', 'source_id': 'chunk-91572b3cd42786ba4cb2f180ca25cbf4'} -2024-10-30 06:50:59,393 - lightrag - INFO - get_edge:query: - MATCH (start:`SCROOGE`)-[r]->(end:`THE REGISTER`) - RETURN properties(r) as edge_properties - LIMIT 1 - :result:{'keywords': '"responsibility, mourning"', 'weight': 8.0, 'description': '"Scrooge\'s connection to The Register reinforces his involvement in Marley\'s death and the responsibilities that follow."', 'source_id': 'chunk-89777b838d5447c7bd1ec11282c4ee89'} -2024-10-30 06:50:59,488 - lightrag - INFO - get_edge:query: - MATCH (start:`BOB CRATCHIT`)-[r]->(end:`MARTHA CRATCHIT`) - RETURN properties(r) as edge_properties - LIMIT 1 - :result:{'keywords': '"family bond, affection""family, love"', 'weight': 14.0, 'description': '"Bob shows pride and love for his daughter Martha, highlighting the close ties within the Cratchit family.""Martha shows affection for Bob Cratchit upon her arrival, indicating a warm father-daughter relationship within the family."', 'source_id': 'chunk-7e2e7ebcc19a53b399dc03aded4743e7chunk-9e3921da66da5d761ab73cd849af6c43'} -2024-10-30 06:50:59,585 - lightrag - INFO - get_edge:query: - MATCH (start:`MARTHA`)-[r]->(end:`THE LORD`) - RETURN properties(r) as edge_properties - LIMIT 1 - :result:{'keywords': '"social status, contrast"', 'weight': 4.0, 'description': '"Martha\'s reference to The Lord indicates her exposure to higher social circles, which contrasts her family\'s financial struggles."', 'source_id': 'chunk-19d72c57ae3408758b18d2568e86dc6b'} -2024-10-30 06:50:59,679 - lightrag - INFO - get_edge:query: - MATCH (start:`SCROOGE`)-[r]->(end:`THE PARROT`) - RETURN properties(r) as edge_properties - LIMIT 1 - :result:{'keywords': '"nostalgia, whimsy"', 'weight': 12.0, 'description': '"Scrooge recalls the Parrot associated with his memories of Robin Crusoe, highlighting the whimsical and nostalgic aspects of his reflections."', 'source_id': 'chunk-8590d9263cd2cd4fa583c432fc54e6c3'} -2024-10-30 06:50:59,774 - lightrag - INFO - get_edge:query: - MATCH (start:`CRATCHIT FAMILY`)-[r]->(end:`TINY TIM`) - RETURN properties(r) as edge_properties - LIMIT 1 - :result:{'keywords': '"family bond, celebration""family ties, innocence""hope, joy"', 'weight': 25.0, 'description': '"Tiny Tim\'s presence in the Cratchit family adds to their joy and highlights the family\'s spirit of togetherness during Christmas.""Tiny Tim, as part of the Cratchit Family, represents the innocence and vulnerability of the family, affecting their dynamics during Christmas.""Tiny Tim, despite his condition, brings joy to the Cratchit Family and fosters a sense of hope and love during their Christmas celebration."', 'source_id': 'chunk-19d72c57ae3408758b18d2568e86dc6bchunk-7e2e7ebcc19a53b399dc03aded4743e7'} -2024-10-30 06:50:59,867 - lightrag - INFO - get_edge:query: - MATCH (start:`MANSION`)-[r]->(end:`THE GHOST`) - RETURN properties(r) as edge_properties - LIMIT 1 - :result:{'keywords': '"guidance, contrast"', 'weight': 18.0, 'description': '"The Ghost guides Scrooge through the Mansion, illustrating the contrast between past warmth and present decay."', 'source_id': 'chunk-8590d9263cd2cd4fa583c432fc54e6c3'} -2024-10-30 06:50:59,962 - lightrag - INFO - get_edge:query: - MATCH (start:`CHRISTMAS DAY`)-[r]->(end:`CRATCHIT FAMILY`) - RETURN properties(r) as edge_properties - LIMIT 1 - :result:{'keywords': '"celebration, tradition""celebration, unity""family gathering, holiday celebration"', 'weight': 29.0, 'description': '"The Cratchit Family comes together to celebrate Christmas Day, a crucial moment that reflects their unity and joy despite challenges.""The Cratchit Family gathers to celebrate Christmas Day, reflecting their togetherness and joy despite their hardships.""The Cratchit Family\'s celebration on Christmas Day emphasizes their unity and joy in sharing the holiday together."', 'source_id': 'chunk-19d72c57ae3408758b18d2568e86dc6bchunk-7e2e7ebcc19a53b399dc03aded4743e7'} -2024-10-30 06:51:00,057 - lightrag - INFO - get_edge:query: - MATCH (start:`SCROOGE`)-[r]->(end:`THE SCHOOLMASTER`) - RETURN properties(r) as edge_properties - LIMIT 1 - :result:{'keywords': '"authority, discipline"', 'weight': 6.0, 'description': '"The Schoolmaster represents authority and discipline in Scrooge\'s early life, influencing his development."', 'source_id': 'chunk-c6c248858d1b13ab7ee9ca13c1aeed6b'} -2024-10-30 06:51:00,151 - lightrag - INFO - get_edge:query: - MATCH (start:`THE HUSBAND`)-[r]->(end:`THE MOTHER`) - RETURN properties(r) as edge_properties - LIMIT 1 - :result:{'keywords': '"marital dynamics, emotional strain"', 'weight': 16.0, 'description': '"The Mother expresses anxiety and eagerness as she interacts with her husband, showcasing the emotional strain caused by uncertainty."', 'source_id': 'chunk-83ac129dc9b56f84c46760d153d68e93'} -2024-10-30 06:51:00,242 - lightrag - INFO - get_edge:query: - MATCH (start:`SCROOGE`)-[r]->(end:`WANT`) - RETURN properties(r) as edge_properties - LIMIT 1 - :result:{'keywords': '"social critique, consequences"', 'weight': 9.0, 'description': '"Scrooge is shown the consequences of Want, reflecting on the impacts of desire and neglect in society."', 'source_id': 'chunk-02baee20cc9463dbe08170a8e1043e32'} -2024-10-30 06:51:00,336 - lightrag - INFO - get_edge:query: - MATCH (start:`EBENEZER SCROOGE`)-[r]->(end:`THE CLOCK`) - RETURN properties(r) as edge_properties - LIMIT 1 - :result:{'keywords': '"temporal confusion, malfunction"', 'weight': 7.0, 'description': '"Scrooge\'s confusion about time is exacerbated by The Clock\'s malfunction, heightening his sense of disorientation."', 'source_id': 'chunk-c7b10789a9cb0af6c553730b29bd9034'} -2024-10-30 06:51:00,435 - lightrag - INFO - get_edge:query: - MATCH (start:`SCROOGE`)-[r]->(end:`TOPPER`) - RETURN properties(r) as edge_properties - LIMIT 1 - :result:{'keywords': '"celebration, friendship""observation, merriment""playfulness, interaction"', 'weight': 20.0, 'description': '"Scrooge and Topper participate in the games, showcasing the playful atmosphere of the Christmas gathering and hinting at Scrooge\'s changing attitude.""Scrooge observes Topper\'s antics and expressions of joy during the games, revealing a reflection on human nature and merriment.""Topper\'s presence at the Christmas gathering highlights the festive spirit and camaraderie among friends and family during the celebration."', 'source_id': 'chunk-43c9bee23adfa77aa9dedd22401bba7dchunk-94bea83e7153fc2064aa382b494936a1'} -2024-10-30 06:51:00,534 - lightrag - INFO - get_edge:query: - MATCH (start:`SCROOGE`)-[r]->(end:`THE KNOCKER`) - RETURN properties(r) as edge_properties - LIMIT 1 - :result:{'keywords': '"appreciation, transformation""haunting, symbol of guilt""symbolism, transformation"', 'weight': 24.0, 'description': '"Scrooge admires the knocker at his door, marking a positive change in his attitude towards life and surroundings.""The Knocker, transforming into Marley\'s face, symbolizes Scrooge\'s ghostly past and impending redemption challenges.""Scrooge perceives Marley\'s face in the knocker, symbolizing his own guilt and the haunting nature of his past choices."', 'source_id': 'chunk-d9aac3484185ac66045df92214d245d5chunk-8f738cb25d60a7dab782162d9d0a25ed'} -2024-10-30 06:51:00,628 - lightrag - INFO - get_edge:query: - MATCH (start:`CHRISTMAS-TIME`)-[r]->(end:`SCROOGE`) - RETURN properties(r) as edge_properties - LIMIT 1 - :result:{'keywords': '"cynicism, holiday spirit conflict""redemption, celebration"', 'weight': 19.0, 'description': '"Scrooge views Christmas-time as a burden rather than a celebration, contrasting with the feelings of others around him.""Scrooge\'s experiences during Christmas-time reflect his internal struggles and the possibility of redemption and joy."', 'source_id': 'chunk-5dac41b3f9eeaf794f0147400b1718cdchunk-c6c248858d1b13ab7ee9ca13c1aeed6b'} -2024-10-30 06:51:00,720 - lightrag - INFO - get_edge:query: - MATCH (start:`BOB CRATCHIT`)-[r]->(end:`PETER`) - RETURN properties(r) as edge_properties - LIMIT 1 - :result:{'keywords': '"family discussions, support""family support, concern"', 'weight': 12.0, 'description': '"Peter interacts with Bob Cratchit, showing the dynamics of a supportive family unit while discussing aspirations.""Peter shows concern for Bob, participating actively in family discussions and support."', 'source_id': 'chunk-1d4b58de5429cd1261370c231c8673e8'} -2024-10-30 06:51:00,814 - lightrag - INFO - get_edge:query: - MATCH (start:`MARLEY'S GHOST`)-[r]->(end:`THE CHAIN`) - RETURN properties(r) as edge_properties - LIMIT 1 - :result:{'keywords': '"regret, warning"', 'weight': 18.0, 'description': '"Marley\'s Ghost is bound by The Chain, which symbolizes his regrets and serves as a warning to Scrooge about the consequences of his own actions."', 'source_id': 'chunk-cb661c37436355ccec2769b1d0350c5f'} -2024-10-30 06:51:00,909 - lightrag - INFO - get_edge:query: - MATCH (start:`BELINDA CRATCHIT`)-[r]->(end:`CRATCHIT FAMILY`) - RETURN properties(r) as edge_properties - LIMIT 1 - :result:{'keywords': '"family participation, tradition"', 'weight': 8.0, 'description': '"Belinda Cratchit\'s role in sweetening the apple sauce shows her active involvement in family traditions during Christmas."', 'source_id': 'chunk-7e2e7ebcc19a53b399dc03aded4743e7'} -2024-10-30 06:51:01,002 - lightrag - INFO - get_edge:query: - MATCH (start:`RED-FACED GENTLEMAN`)-[r]->(end:`SCROOGE`) - RETURN properties(r) as edge_properties - LIMIT 1 - :result:{'keywords': '"humor, communal context"', 'weight': 12.0, 'description': '"Scrooge observes the conversation of the Red-faced Gentleman, which offers humorous insights into communal attitudes toward death."', 'source_id': 'chunk-f1a4fbcf1ed86864b9bfd5e8dba4c683'} -2024-10-30 06:51:01,099 - lightrag - INFO - get_edge:query: - MATCH (start:`SCROOGE`)-[r]->(end:`THE SITTING ROOM`) - RETURN properties(r) as edge_properties - LIMIT 1 - :result:{'keywords': '"reflection, transformation"', 'weight': 8.0, 'description': '"The Sitting Room is where Scrooge reflects on his past and contemplates his future, crucial to his transformation."', 'source_id': 'chunk-90b95db5c53e4364a6bee36b7aa4d70f'} -2024-10-30 06:51:01,193 - lightrag - INFO - get_edge:query: - MATCH (start:`CHRISTMAS`)-[r]->(end:`THE LAMPLIGHTER`) - RETURN properties(r) as edge_properties - LIMIT 1 - :result:{'keywords': '"symbolism, holiday spirit"', 'weight': 7.0, 'description': '"The Lamplighter\'s actions of spreading light symbolize the joy and warmth associated with Christmas."', 'source_id': 'chunk-91614df5cb74cbe5e109a338a82041e9'} -2024-10-30 06:51:01,285 - lightrag - INFO - get_edge:query: - MATCH (start:`SCROOGE`)-[r]->(end:`THE DECEASED MAN`) - RETURN properties(r) as edge_properties - LIMIT 1 - :result:{'keywords': '"moral reflection, consequence"', 'weight': 18.0, 'description': '"Scrooge reflects on the life and death of The Deceased Man, prompting introspection about his own life choices."', 'source_id': 'chunk-e1f29eeadc1d8ab46dc8a0bbd3c56b64'} -2024-10-30 06:51:01,379 - lightrag - INFO - get_edge:query: - MATCH (start:`SCROOGE`)-[r]->(end:`THE CASK`) - RETURN properties(r) as edge_properties - LIMIT 1 - :result:{'keywords': '"fear, tension"', 'weight': 8.0, 'description': '"The Cask is associated with the sounds of chains during the haunting, heightening Scrooge\'s fear and trepidation about the ghostly visit."', 'source_id': 'chunk-9c43dac2fcd5b578242d907ea6f8fc7b'} -2024-10-30 06:51:01,480 - lightrag - INFO - edge_degree:query:MATCH (n1:`GHOST`)-[r]-(n2:`SCROOGE`) - RETURN count(r) AS degree:result:1 -2024-10-30 06:51:01,573 - lightrag - INFO - edge_degree:query:MATCH (n1:`SCROOGE`)-[r]-(n2:`THE TURKEY`) - RETURN count(r) AS degree:result:1 -2024-10-30 06:51:01,666 - lightrag - INFO - edge_degree:query:MATCH (n1:`SCROOGE`)-[r]-(n2:`THE PRESENT`) - RETURN count(r) AS degree:result:1 -2024-10-30 06:51:01,760 - lightrag - INFO - edge_degree:query:MATCH (n1:`LITTLE FAN`)-[r]-(n2:`SCROOGE`) - RETURN count(r) AS degree:result:1 -2024-10-30 06:51:01,855 - lightrag - INFO - edge_degree:query:MATCH (n1:`ALMSHOUSE`)-[r]-(n2:`SPIRIT`) - RETURN count(r) AS degree:result:1 -2024-10-30 06:51:01,947 - lightrag - INFO - edge_degree:query:MATCH (n1:`HOPE`)-[r]-(n2:`THE COMELY MATRON`) - RETURN count(r) AS degree:result:1 -2024-10-30 06:51:02,042 - lightrag - INFO - edge_degree:query:MATCH (n1:`CHRISTMAS`)-[r]-(n2:`THE GROCERS`) - RETURN count(r) AS degree:result:1 -2024-10-30 06:51:02,134 - lightrag - INFO - edge_degree:query:MATCH (n1:`SCROOGE`)-[r]-(n2:`THE SPIRITS`) - RETURN count(r) AS degree:result:1 -2024-10-30 06:51:02,226 - lightrag - INFO - edge_degree:query:MATCH (n1:`BOB CRATCHIT`)-[r]-(n2:`TINY TIM`) - RETURN count(r) AS degree:result:1 -2024-10-30 06:51:02,316 - lightrag - INFO - edge_degree:query:MATCH (n1:`GHOST OF CHRISTMAS PAST`)-[r]-(n2:`SCROOGE`) - RETURN count(r) AS degree:result:1 -2024-10-30 06:51:02,406 - lightrag - INFO - edge_degree:query:MATCH (n1:`CHRISTMAS`)-[r]-(n2:`THE MANSION HOUSE`) - RETURN count(r) AS degree:result:1 -2024-10-30 06:51:02,499 - lightrag - INFO - edge_degree:query:MATCH (n1:`GRAVE`)-[r]-(n2:`SCROOGE`) - RETURN count(r) AS degree:result:1 -2024-10-30 06:51:02,591 - lightrag - INFO - edge_degree:query:MATCH (n1:`MARLEY`)-[r]-(n2:`SCROOGE AND MARLEY'S`) - RETURN count(r) AS degree:result:1 -2024-10-30 06:51:02,681 - lightrag - INFO - edge_degree:query:MATCH (n1:`SCROOGE`)-[r]-(n2:`THE GRATE`) - RETURN count(r) AS degree:result:1 -2024-10-30 06:51:02,774 - lightrag - INFO - edge_degree:query:MATCH (n1:`SCROOGE`)-[r]-(n2:`THE DYING FLAME`) - RETURN count(r) AS degree:result:1 -2024-10-30 06:51:02,870 - lightrag - INFO - edge_degree:query:MATCH (n1:`CAROLINE`)-[r]-(n2:`THE HUSBAND`) - RETURN count(r) AS degree:result:1 -2024-10-30 06:51:02,963 - lightrag - INFO - edge_degree:query:MATCH (n1:`CHRISTMAS EVES`)-[r]-(n2:`SCROOGE`) - RETURN count(r) AS degree:result:1 -2024-10-30 06:51:03,056 - lightrag - INFO - edge_degree:query:MATCH (n1:`BOB CRATCHIT`)-[r]-(n2:`THE CRATCHIT HOUSEHOLD`) - RETURN count(r) AS degree:result:1 -2024-10-30 06:51:03,149 - lightrag - INFO - edge_degree:query:MATCH (n1:`BOB CRATCHIT`)-[r]-(n2:`SPIRIT OF CHRISTMAS PRESENT`) - RETURN count(r) AS degree:result:1 -2024-10-30 06:51:03,241 - lightrag - INFO - edge_degree:query:MATCH (n1:`THE CANDLE`)-[r]-(n2:`THE FOG AND FROST`) - RETURN count(r) AS degree:result:1 -2024-10-30 06:51:03,335 - lightrag - INFO - edge_degree:query:MATCH (n1:`CHRISTMAS`)-[r]-(n2:`THE GHOST`) - RETURN count(r) AS degree:result:1 -2024-10-30 06:51:03,426 - lightrag - INFO - edge_degree:query:MATCH (n1:`BOB`)-[r]-(n2:`SCROOGE`) - RETURN count(r) AS degree:result:1 -2024-10-30 06:51:03,519 - lightrag - INFO - edge_degree:query:MATCH (n1:`FEZZIWIG`)-[r]-(n2:`SCROOGE`) - RETURN count(r) AS degree:result:1 -2024-10-30 06:51:03,609 - lightrag - INFO - edge_degree:query:MATCH (n1:`GHOST OF CHRISTMAS PRESENT`)-[r]-(n2:`SCROOGE`) - RETURN count(r) AS degree:result:1 -2024-10-30 06:51:03,702 - lightrag - INFO - edge_degree:query:MATCH (n1:`SCROOGE`)-[r]-(n2:`SPIRIT`) - RETURN count(r) AS degree:result:1 -2024-10-30 06:51:03,794 - lightrag - INFO - edge_degree:query:MATCH (n1:`SCROOGE`)-[r]-(n2:`THE BOY`) - RETURN count(r) AS degree:result:1 -2024-10-30 06:51:03,886 - lightrag - INFO - edge_degree:query:MATCH (n1:`SCROOGE`)-[r]-(n2:`THE GHOST`) - RETURN count(r) AS degree:result:1 -2024-10-30 06:51:03,983 - lightrag - INFO - edge_degree:query:MATCH (n1:`THE CRATCHIT FAMILY`)-[r]-(n2:`TINY TIM`) - RETURN count(r) AS degree:result:1 -2024-10-30 06:51:04,075 - lightrag - INFO - edge_degree:query:MATCH (n1:`SCROOGE`)-[r]-(n2:`THE GHOST OF CHRISTMAS PAST`) - RETURN count(r) AS degree:result:1 -2024-10-30 06:51:04,167 - lightrag - INFO - edge_degree:query:MATCH (n1:`HAPPINESS`)-[r]-(n2:`THE BEAUTIFUL YOUNG GIRL`) - RETURN count(r) AS degree:result:1 -2024-10-30 06:51:04,261 - lightrag - INFO - edge_degree:query:MATCH (n1:`EBENEZER SCROOGE`)-[r]-(n2:`TINY TIM`) - RETURN count(r) AS degree:result:1 -2024-10-30 06:51:04,349 - lightrag - INFO - edge_degree:query:MATCH (n1:`SCROOGE`)-[r]-(n2:`THE GENTLEMEN`) - RETURN count(r) AS degree:result:1 -2024-10-30 06:51:04,444 - lightrag - INFO - edge_degree:query:MATCH (n1:`SCROOGE`)-[r]-(n2:`THE PHANTOM VOICES`) - RETURN count(r) AS degree:result:1 -2024-10-30 06:51:04,538 - lightrag - INFO - edge_degree:query:MATCH (n1:`DICK WILKINS`)-[r]-(n2:`SCROOGE`) - RETURN count(r) AS degree:result:1 -2024-10-30 06:51:04,630 - lightrag - INFO - edge_degree:query:MATCH (n1:`DINNER`)-[r]-(n2:`SCROOGE'S NEPHEW`) - RETURN count(r) AS degree:result:1 -2024-10-30 06:51:04,721 - lightrag - INFO - edge_degree:query:MATCH (n1:`BOB CRATCHIT`)-[r]-(n2:`MASTER PETER`) - RETURN count(r) AS degree:result:1 -2024-10-30 06:51:04,813 - lightrag - INFO - edge_degree:query:MATCH (n1:`SCROOGE`)-[r]-(n2:`THE FUNERAL`) - RETURN count(r) AS degree:result:1 -2024-10-30 06:51:04,905 - lightrag - INFO - edge_degree:query:MATCH (n1:`SCROOGE`)-[r]-(n2:`STREET`) - RETURN count(r) AS degree:result:1 -2024-10-30 06:51:05,000 - lightrag - INFO - edge_degree:query:MATCH (n1:`SCROOGE`)-[r]-(n2:`THE GRAVE`) - RETURN count(r) AS degree:result:1 -2024-10-30 06:51:05,093 - lightrag - INFO - edge_degree:query:MATCH (n1:`JOE`)-[r]-(n2:`THE DECEASED`) - RETURN count(r) AS degree:result:1 -2024-10-30 06:51:05,191 - lightrag - INFO - edge_degree:query:MATCH (n1:`CHRISTMAS`)-[r]-(n2:`TINY TIM`) - RETURN count(r) AS degree:result:1 -2024-10-30 06:51:05,282 - lightrag - INFO - edge_degree:query:MATCH (n1:`IGNORANCE`)-[r]-(n2:`SCROOGE`) - RETURN count(r) AS degree:result:1 -2024-10-30 06:51:05,374 - lightrag - INFO - edge_degree:query:MATCH (n1:`MANKIND`)-[r]-(n2:`SCROOGE`) - RETURN count(r) AS degree:result:1 -2024-10-30 06:51:05,467 - lightrag - INFO - edge_degree:query:MATCH (n1:`GAOL`)-[r]-(n2:`SPIRIT`) - RETURN count(r) AS degree:result:1 -2024-10-30 06:51:05,561 - lightrag - INFO - edge_degree:query:MATCH (n1:`THE FIRE`)-[r]-(n2:`TINY TIM`) - RETURN count(r) AS degree:result:1 -2024-10-30 06:51:05,650 - lightrag - INFO - edge_degree:query:MATCH (n1:`ORSON`)-[r]-(n2:`SCROOGE`) - RETURN count(r) AS degree:result:1 -2024-10-30 06:51:05,741 - lightrag - INFO - edge_degree:query:MATCH (n1:`BELLE`)-[r]-(n2:`SCROOGE`) - RETURN count(r) AS degree:result:1 -2024-10-30 06:51:05,832 - lightrag - INFO - edge_degree:query:MATCH (n1:`COURT`)-[r]-(n2:`SCROOGE`) - RETURN count(r) AS degree:result:1 -2024-10-30 06:51:05,926 - lightrag - INFO - edge_degree:query:MATCH (n1:`SCROOGE`)-[r]-(n2:`THE CORPSE`) - RETURN count(r) AS degree:result:1 -2024-10-30 06:51:06,020 - lightrag - INFO - edge_degree:query:MATCH (n1:`CHRISTMAS`)-[r]-(n2:`SPANISH ONIONS`) - RETURN count(r) AS degree:result:1 -2024-10-30 06:51:06,112 - lightrag - INFO - edge_degree:query:MATCH (n1:`CHURCH`)-[r]-(n2:`SCROOGE`) - RETURN count(r) AS degree:result:1 -2024-10-30 06:51:06,205 - lightrag - INFO - edge_degree:query:MATCH (n1:`CRATCHIT FAMILY`)-[r]-(n2:`MASTER PETER CRATCHIT`) - RETURN count(r) AS degree:result:1 -2024-10-30 06:51:06,300 - lightrag - INFO - edge_degree:query:MATCH (n1:`SCROOGE`)-[r]-(n2:`THE GHOST OF MARLEY`) - RETURN count(r) AS degree:result:1 -2024-10-30 06:51:06,392 - lightrag - INFO - edge_degree:query:MATCH (n1:`CRATCHIT CHRISTMAS DINNER`)-[r]-(n2:`CRATCHIT FAMILY`) - RETURN count(r) AS degree:result:1 -2024-10-30 06:51:06,487 - lightrag - INFO - edge_degree:query:MATCH (n1:`THE CHILDREN`)-[r]-(n2:`THE MOTHER`) - RETURN count(r) AS degree:result:1 -2024-10-30 06:51:06,579 - lightrag - INFO - edge_degree:query:MATCH (n1:`CRATCHIT FAMILY`)-[r]-(n2:`THE SPIRIT`) - RETURN count(r) AS degree:result:1 -2024-10-30 06:51:06,678 - lightrag - INFO - edge_degree:query:MATCH (n1:`SCHOOL`)-[r]-(n2:`SPIRIT`) - RETURN count(r) AS degree:result:1 -2024-10-30 06:51:06,773 - lightrag - INFO - edge_degree:query:MATCH (n1:`CRATCHIT FAMILY`)-[r]-(n2:`THE GOOSE`) - RETURN count(r) AS degree:result:1 -2024-10-30 06:51:06,873 - lightrag - INFO - edge_degree:query:MATCH (n1:`CHRISTMAS`)-[r]-(n2:`MISTLETOE`) - RETURN count(r) AS degree:result:1 -2024-10-30 06:51:06,969 - lightrag - INFO - edge_degree:query:MATCH (n1:`DEATH`)-[r]-(n2:`SCROOGE`) - RETURN count(r) AS degree:result:1 -2024-10-30 06:51:07,064 - lightrag - INFO - edge_degree:query:MATCH (n1:`SCROOGE`)-[r]-(n2:`THE DOWERLESS GIRL`) - RETURN count(r) AS degree:result:1 -2024-10-30 06:51:07,159 - lightrag - INFO - edge_degree:query:MATCH (n1:`CRATCHIT FAMILY`)-[r]-(n2:`DEATH`) - RETURN count(r) AS degree:result:1 -2024-10-30 06:51:07,254 - lightrag - INFO - edge_degree:query:MATCH (n1:`FELLOW-BEINGS`)-[r]-(n2:`SCROOGE`) - RETURN count(r) AS degree:result:1 -2024-10-30 06:51:07,346 - lightrag - INFO - edge_degree:query:MATCH (n1:`CLERK`)-[r]-(n2:`SCROOGE`) - RETURN count(r) AS degree:result:1 -2024-10-30 06:51:07,438 - lightrag - INFO - edge_degree:query:MATCH (n1:`SCROOGE`)-[r]-(n2:`THE DECEASED`) - RETURN count(r) AS degree:result:1 -2024-10-30 06:51:07,530 - lightrag - INFO - edge_degree:query:MATCH (n1:`SCROOGE`)-[r]-(n2:`THE LAMPLIGHTER`) - RETURN count(r) AS degree:result:1 -2024-10-30 06:51:07,631 - lightrag - INFO - edge_degree:query:MATCH (n1:`DICK`)-[r]-(n2:`SCROOGE`) - RETURN count(r) AS degree:result:1 -2024-10-30 06:51:07,724 - lightrag - INFO - edge_degree:query:MATCH (n1:`OLD JOE`)-[r]-(n2:`THE SHOP`) - RETURN count(r) AS degree:result:1 -2024-10-30 06:51:07,817 - lightrag - INFO - edge_degree:query:MATCH (n1:`SCROOGE`)-[r]-(n2:`THE CRATCHIT HOUSE`) - RETURN count(r) AS degree:result:1 -2024-10-30 06:51:07,908 - lightrag - INFO - edge_degree:query:MATCH (n1:`ALI BABA`)-[r]-(n2:`SCROOGE`) - RETURN count(r) AS degree:result:1 -2024-10-30 06:51:08,006 - lightrag - INFO - edge_degree:query:MATCH (n1:`JACOB`)-[r]-(n2:`SCROOGE`) - RETURN count(r) AS degree:result:1 -2024-10-30 06:51:08,098 - lightrag - INFO - edge_degree:query:MATCH (n1:`THE BUNDLE`)-[r]-(n2:`THE DECEASED MAN`) - RETURN count(r) AS degree:result:1 -2024-10-30 06:51:08,191 - lightrag - INFO - edge_degree:query:MATCH (n1:`CHILDREN`)-[r]-(n2:`SPIRIT`) - RETURN count(r) AS degree:result:1 -2024-10-30 06:51:08,284 - lightrag - INFO - edge_degree:query:MATCH (n1:`COUNTING-HOUSE`)-[r]-(n2:`SCROOGE`) - RETURN count(r) AS degree:result:1 -2024-10-30 06:51:08,377 - lightrag - INFO - edge_degree:query:MATCH (n1:`SCROOGE`)-[r]-(n2:`THE GHOST OF CHRISTMAS PRESENT`) - RETURN count(r) AS degree:result:1 -2024-10-30 06:51:08,475 - lightrag - INFO - edge_degree:query:MATCH (n1:`SCHOOL`)-[r]-(n2:`SCROOGE`) - RETURN count(r) AS degree:result:1 -2024-10-30 06:51:08,568 - lightrag - INFO - edge_degree:query:MATCH (n1:`JOE`)-[r]-(n2:`SCROOGE`) - RETURN count(r) AS degree:result:1 -2024-10-30 06:51:08,661 - lightrag - INFO - edge_degree:query:MATCH (n1:`CHRISTMAS`)-[r]-(n2:`SCROOGE'S NEPHEW`) - RETURN count(r) AS degree:result:1 -2024-10-30 06:51:08,755 - lightrag - INFO - edge_degree:query:MATCH (n1:`THE DAUGHTER`)-[r]-(n2:`THE MOTHER`) - RETURN count(r) AS degree:result:1 -2024-10-30 06:51:08,848 - lightrag - INFO - edge_degree:query:MATCH (n1:`BOB CRATCHIT`)-[r]-(n2:`THE TANK`) - RETURN count(r) AS degree:result:1 -2024-10-30 06:51:08,942 - lightrag - INFO - edge_degree:query:MATCH (n1:`SCROOGE`)-[r]-(n2:`THE HOUSE`) - RETURN count(r) AS degree:result:1 -2024-10-30 06:51:09,037 - lightrag - INFO - edge_degree:query:MATCH (n1:`GHOST OF CHRISTMAS PRESENT`)-[r]-(n2:`SPIRIT`) - RETURN count(r) AS degree:result:1 -2024-10-30 06:51:09,132 - lightrag - INFO - edge_degree:query:MATCH (n1:`SCROOGE`)-[r]-(n2:`THE CLOCK`) - RETURN count(r) AS degree:result:1 -2024-10-30 06:51:09,224 - lightrag - INFO - edge_degree:query:MATCH (n1:`BOB CRATCHIT`)-[r]-(n2:`THE POULTERER'S`) - RETURN count(r) AS degree:result:1 -2024-10-30 06:51:09,323 - lightrag - INFO - edge_degree:query:MATCH (n1:`BEDLAM`)-[r]-(n2:`SCROOGE`) - RETURN count(r) AS degree:result:1 -2024-10-30 06:51:09,414 - lightrag - INFO - edge_degree:query:MATCH (n1:`CHRISTMAS CAROL`)-[r]-(n2:`SCROOGE`) - RETURN count(r) AS degree:result:1 -2024-10-30 06:51:09,505 - lightrag - INFO - edge_degree:query:MATCH (n1:`SCROOGE`)-[r]-(n2:`THE BELL`) - RETURN count(r) AS degree:result:1 -2024-10-30 06:51:09,598 - lightrag - INFO - edge_degree:query:MATCH (n1:`CHILDREN`)-[r]-(n2:`SCROOGE`) - RETURN count(r) AS degree:result:1 -2024-10-30 06:51:09,688 - lightrag - INFO - edge_degree:query:MATCH (n1:`GHOST`)-[r]-(n2:`SPECTRE`) - RETURN count(r) AS degree:result:1 -2024-10-30 06:51:09,780 - lightrag - INFO - edge_degree:query:MATCH (n1:`POOR AND DESTITUTE`)-[r]-(n2:`SCROOGE`) - RETURN count(r) AS degree:result:1 -2024-10-30 06:51:09,873 - lightrag - INFO - edge_degree:query:MATCH (n1:`BOYS`)-[r]-(n2:`SCROOGE`) - RETURN count(r) AS degree:result:1 -2024-10-30 06:51:09,965 - lightrag - INFO - edge_degree:query:MATCH (n1:`CHRISTMAS DAY`)-[r]-(n2:`SCROOGE`) - RETURN count(r) AS degree:result:1 -2024-10-30 06:51:10,058 - lightrag - INFO - edge_degree:query:MATCH (n1:`BOB CRATCHIT`)-[r]-(n2:`CHRISTMAS EVE`) - RETURN count(r) AS degree:result:1 -2024-10-30 06:51:10,151 - lightrag - INFO - edge_degree:query:MATCH (n1:`BOB CRATCHIT`)-[r]-(n2:`CAMDEN TOWN`) - RETURN count(r) AS degree:result:1 -2024-10-30 06:51:10,246 - lightrag - INFO - edge_degree:query:MATCH (n1:`CHRISTMAS`)-[r]-(n2:`THE SHIP`) - RETURN count(r) AS degree:result:1 -2024-10-30 06:51:10,339 - lightrag - INFO - edge_degree:query:MATCH (n1:`IGNORANCE`)-[r]-(n2:`SPIRIT`) - RETURN count(r) AS degree:result:1 -2024-10-30 06:51:10,431 - lightrag - INFO - edge_degree:query:MATCH (n1:`SCROOGE`)-[r]-(n2:`WEALTH`) - RETURN count(r) AS degree:result:1 -2024-10-30 06:51:10,521 - lightrag - INFO - edge_degree:query:MATCH (n1:`SCROOGE`)-[r]-(n2:`THE THREE SPIRITS`) - RETURN count(r) AS degree:result:1 -2024-10-30 06:51:10,615 - lightrag - INFO - edge_degree:query:MATCH (n1:`LONDON`)-[r]-(n2:`SCROOGE`) - RETURN count(r) AS degree:result:1 -2024-10-30 06:51:10,708 - lightrag - INFO - edge_degree:query:MATCH (n1:`BUSINESSMEN`)-[r]-(n2:`SCROOGE`) - RETURN count(r) AS degree:result:1 -2024-10-30 06:51:10,801 - lightrag - INFO - edge_degree:query:MATCH (n1:`BOB CRATCHIT`)-[r]-(n2:`THE FAMILY`) - RETURN count(r) AS degree:result:1 -2024-10-30 06:51:10,897 - lightrag - INFO - edge_degree:query:MATCH (n1:`BOB`)-[r]-(n2:`TINY TIM`) - RETURN count(r) AS degree:result:1 -2024-10-30 06:51:11,002 - lightrag - INFO - edge_degree:query:MATCH (n1:`MARLEY`)-[r]-(n2:`THE KNOCKER`) - RETURN count(r) AS degree:result:1 -2024-10-30 06:51:11,097 - lightrag - INFO - edge_degree:query:MATCH (n1:`BEGGARS`)-[r]-(n2:`SCROOGE`) - RETURN count(r) AS degree:result:1 -2024-10-30 06:51:11,191 - lightrag - INFO - edge_degree:query:MATCH (n1:`GHOST OF CHRISTMAS PRESENT`)-[r]-(n2:`TINY TIM`) - RETURN count(r) AS degree:result:1 -2024-10-30 06:51:11,285 - lightrag - INFO - edge_degree:query:MATCH (n1:`SCROOGE`)-[r]-(n2:`WINDING RIVER`) - RETURN count(r) AS degree:result:1 -2024-10-30 06:51:11,377 - lightrag - INFO - edge_degree:query:MATCH (n1:`MULTITUDES`)-[r]-(n2:`SCROOGE`) - RETURN count(r) AS degree:result:1 -2024-10-30 06:51:11,473 - lightrag - INFO - edge_degree:query:MATCH (n1:`SCROOGE`)-[r]-(n2:`SPIRIT OF CHRISTMAS PRESENT`) - RETURN count(r) AS degree:result:1 -2024-10-30 06:51:11,566 - lightrag - INFO - edge_degree:query:MATCH (n1:`THE LIGHTHOUSE`)-[r]-(n2:`THE WAVE`) - RETURN count(r) AS degree:result:1 -2024-10-30 06:51:11,660 - lightrag - INFO - edge_degree:query:MATCH (n1:`SPIRIT`)-[r]-(n2:`THE EVENT OF DEATH`) - RETURN count(r) AS degree:result:1 -2024-10-30 06:51:11,755 - lightrag - INFO - edge_degree:query:MATCH (n1:`MRS. CRATCHIT`)-[r]-(n2:`SCROOGE`) - RETURN count(r) AS degree:result:1 -2024-10-30 06:51:11,849 - lightrag - INFO - edge_degree:query:MATCH (n1:`SCROOGE`)-[r]-(n2:`THE WINDOW`) - RETURN count(r) AS degree:result:1 -2024-10-30 06:51:11,941 - lightrag - INFO - edge_degree:query:MATCH (n1:`FOG`)-[r]-(n2:`SCROOGE`) - RETURN count(r) AS degree:result:1 -2024-10-30 06:51:12,036 - lightrag - INFO - edge_degree:query:MATCH (n1:`ROBIN CRUSOE`)-[r]-(n2:`SCROOGE`) - RETURN count(r) AS degree:result:1 -2024-10-30 06:51:12,131 - lightrag - INFO - edge_degree:query:MATCH (n1:`GHOST OF JACOB MARLEY`)-[r]-(n2:`SCROOGE`) - RETURN count(r) AS degree:result:1 -2024-10-30 06:51:12,225 - lightrag - INFO - edge_degree:query:MATCH (n1:`MARTHA CRATCHIT`)-[r]-(n2:`THE COUNTESS`) - RETURN count(r) AS degree:result:1 -2024-10-30 06:51:12,318 - lightrag - INFO - edge_degree:query:MATCH (n1:`SCROOGE`)-[r]-(n2:`TINY TIM`) - RETURN count(r) AS degree:result:1 -2024-10-30 06:51:12,411 - lightrag - INFO - edge_degree:query:MATCH (n1:`MR. MARLEY`)-[r]-(n2:`SCROOGE`) - RETURN count(r) AS degree:result:1 -2024-10-30 06:51:12,504 - lightrag - INFO - edge_degree:query:MATCH (n1:`CHRISTMAS`)-[r]-(n2:`GROCERS'`) - RETURN count(r) AS degree:result:1 -2024-10-30 06:51:12,598 - lightrag - INFO - edge_degree:query:MATCH (n1:`CHRISTMAS`)-[r]-(n2:`THE DINNER`) - RETURN count(r) AS degree:result:1 -2024-10-30 06:51:12,690 - lightrag - INFO - edge_degree:query:MATCH (n1:`APPLES`)-[r]-(n2:`CHRISTMAS`) - RETURN count(r) AS degree:result:1 -2024-10-30 06:51:12,784 - lightrag - INFO - edge_degree:query:MATCH (n1:`CLOCK`)-[r]-(n2:`SCROOGE`) - RETURN count(r) AS degree:result:1 -2024-10-30 06:51:12,880 - lightrag - INFO - edge_degree:query:MATCH (n1:`SCROOGE`)-[r]-(n2:`THE WAREHOUSE`) - RETURN count(r) AS degree:result:1 -2024-10-30 06:51:12,971 - lightrag - INFO - edge_degree:query:MATCH (n1:`JACOB MARLEY`)-[r]-(n2:`SCROOGE`) - RETURN count(r) AS degree:result:1 -2024-10-30 06:51:13,065 - lightrag - INFO - edge_degree:query:MATCH (n1:`CITY`)-[r]-(n2:`SCROOGE`) - RETURN count(r) AS degree:result:1 -2024-10-30 06:51:13,158 - lightrag - INFO - edge_degree:query:MATCH (n1:`SCROOGE`)-[r]-(n2:`THE YOUNG GIRL`) - RETURN count(r) AS degree:result:1 -2024-10-30 06:51:13,250 - lightrag - INFO - edge_degree:query:MATCH (n1:`CHRISTMAS`)-[r]-(n2:`THE SPIRIT`) - RETURN count(r) AS degree:result:1 -2024-10-30 06:51:13,343 - lightrag - INFO - edge_degree:query:MATCH (n1:`CHRISTMAS`)-[r]-(n2:`THE LIGHTHOUSE`) - RETURN count(r) AS degree:result:1 -2024-10-30 06:51:13,437 - lightrag - INFO - edge_degree:query:MATCH (n1:`CHRISTMAS`)-[r]-(n2:`CHRISTMAS EVE`) - RETURN count(r) AS degree:result:1 -2024-10-30 06:51:13,527 - lightrag - INFO - edge_degree:query:MATCH (n1:`SCROOGE`)-[r]-(n2:`SCROOGE'S NIECE`) - RETURN count(r) AS degree:result:1 -2024-10-30 06:51:13,620 - lightrag - INFO - edge_degree:query:MATCH (n1:`SCROOGE`)-[r]-(n2:`THE GIRL`) - RETURN count(r) AS degree:result:1 -2024-10-30 06:51:13,713 - lightrag - INFO - edge_degree:query:MATCH (n1:`SCROOGE`)-[r]-(n2:`THE POULTERER'S`) - RETURN count(r) AS degree:result:1 -2024-10-30 06:51:13,803 - lightrag - INFO - edge_degree:query:MATCH (n1:`THE CRATCHIT HOUSE`)-[r]-(n2:`THE DEBT`) - RETURN count(r) AS degree:result:1 -2024-10-30 06:51:13,897 - lightrag - INFO - edge_degree:query:MATCH (n1:`JOE`)-[r]-(n2:`THE WOMAN`) - RETURN count(r) AS degree:result:1 -2024-10-30 06:51:13,991 - lightrag - INFO - edge_degree:query:MATCH (n1:`CHRISTMAS HOLIDAYS`)-[r]-(n2:`SCROOGE`) - RETURN count(r) AS degree:result:1 -2024-10-30 06:51:14,088 - lightrag - INFO - edge_degree:query:MATCH (n1:`SCROOGE`)-[r]-(n2:`THE GOLDEN IDOL`) - RETURN count(r) AS degree:result:1 -2024-10-30 06:51:14,180 - lightrag - INFO - edge_degree:query:MATCH (n1:`OLD SCRATCH`)-[r]-(n2:`THE FUNERAL`) - RETURN count(r) AS degree:result:1 -2024-10-30 06:51:14,274 - lightrag - INFO - edge_degree:query:MATCH (n1:`MARLEY'S FUNERAL`)-[r]-(n2:`SCROOGE`) - RETURN count(r) AS degree:result:1 -2024-10-30 06:51:14,367 - lightrag - INFO - edge_degree:query:MATCH (n1:`SCROOGE`)-[r]-(n2:`THE OBSCURE PART OF TOWN`) - RETURN count(r) AS degree:result:1 -2024-10-30 06:51:14,461 - lightrag - INFO - edge_degree:query:MATCH (n1:`BOB CRATCHIT`)-[r]-(n2:`THE GATHERING`) - RETURN count(r) AS degree:result:1 -2024-10-30 06:51:14,556 - lightrag - INFO - edge_degree:query:MATCH (n1:`CHRISTMAS PUDDING`)-[r]-(n2:`CRATCHIT FAMILY`) - RETURN count(r) AS degree:result:1 -2024-10-30 06:51:14,653 - lightrag - INFO - edge_degree:query:MATCH (n1:`OLD SCROOGE`)-[r]-(n2:`SCROOGE`) - RETURN count(r) AS degree:result:1 -2024-10-30 06:51:14,747 - lightrag - INFO - edge_degree:query:MATCH (n1:`SCROOGE`)-[r]-(n2:`THE DARKNESS`) - RETURN count(r) AS degree:result:1 -2024-10-30 06:51:14,838 - lightrag - INFO - edge_degree:query:MATCH (n1:`BOB CRATCHIT`)-[r]-(n2:`CAROLINE`) - RETURN count(r) AS degree:result:1 -2024-10-30 06:51:14,933 - lightrag - INFO - edge_degree:query:MATCH (n1:`CHESTNUTS`)-[r]-(n2:`CHRISTMAS`) - RETURN count(r) AS degree:result:1 -2024-10-30 06:51:15,026 - lightrag - INFO - edge_degree:query:MATCH (n1:`THE LOW-BROWED SHOP`)-[r]-(n2:`THE TOWN`) - RETURN count(r) AS degree:result:1 -2024-10-30 06:51:15,121 - lightrag - INFO - edge_degree:query:MATCH (n1:`SCROOGE`)-[r]-(n2:`THE OLD GENTLEMAN`) - RETURN count(r) AS degree:result:1 -2024-10-30 06:51:15,214 - lightrag - INFO - edge_degree:query:MATCH (n1:`HOME`)-[r]-(n2:`THE MOTHER`) - RETURN count(r) AS degree:result:1 -2024-10-30 06:51:15,313 - lightrag - INFO - edge_degree:query:MATCH (n1:`SCROOGE`)-[r]-(n2:`THE BED`) - RETURN count(r) AS degree:result:1 -2024-10-30 06:51:15,410 - lightrag - INFO - edge_degree:query:MATCH (n1:`SCROOGE`)-[r]-(n2:`THE DRESSING-GOWN`) - RETURN count(r) AS degree:result:1 -2024-10-30 06:51:15,502 - lightrag - INFO - edge_degree:query:MATCH (n1:`SCROOGE`)-[r]-(n2:`SUNDAY CLOTHES BOY`) - RETURN count(r) AS degree:result:1 -2024-10-30 06:51:15,594 - lightrag - INFO - edge_degree:query:MATCH (n1:`SCROOGE`)-[r]-(n2:`THE YARD`) - RETURN count(r) AS degree:result:1 -2024-10-30 06:51:15,687 - lightrag - INFO - edge_degree:query:MATCH (n1:`CHRISTMAS EVE`)-[r]-(n2:`SCROOGE`) - RETURN count(r) AS degree:result:1 -2024-10-30 06:51:15,781 - lightrag - INFO - edge_degree:query:MATCH (n1:`COLD WEATHER`)-[r]-(n2:`SCROOGE`) - RETURN count(r) AS degree:result:1 -2024-10-30 06:51:15,873 - lightrag - INFO - edge_degree:query:MATCH (n1:`MARLEY`)-[r]-(n2:`SCROOGE`) - RETURN count(r) AS degree:result:1 -2024-10-30 06:51:15,964 - lightrag - INFO - edge_degree:query:MATCH (n1:`FRED`)-[r]-(n2:`SCROOGE`) - RETURN count(r) AS degree:result:1 -2024-10-30 06:51:16,056 - lightrag - INFO - edge_degree:query:MATCH (n1:`SCROOGE`)-[r]-(n2:`SCROOGE'S NEPHEW`) - RETURN count(r) AS degree:result:1 -2024-10-30 06:51:16,150 - lightrag - INFO - edge_degree:query:MATCH (n1:`GHOST OF CHRISTMAS YET TO COME`)-[r]-(n2:`SPIRIT`) - RETURN count(r) AS degree:result:1 -2024-10-30 06:51:16,243 - lightrag - INFO - edge_degree:query:MATCH (n1:`MISERY'S REFUGE`)-[r]-(n2:`SPIRIT`) - RETURN count(r) AS degree:result:1 -2024-10-30 06:51:16,342 - lightrag - INFO - edge_degree:query:MATCH (n1:`SCROOGE`)-[r]-(n2:`THE CHURCH`) - RETURN count(r) AS degree:result:1 -2024-10-30 06:51:16,438 - lightrag - INFO - edge_degree:query:MATCH (n1:`CHRISTMAS`)-[r]-(n2:`PEARS`) - RETURN count(r) AS degree:result:1 -2024-10-30 06:51:16,528 - lightrag - INFO - edge_degree:query:MATCH (n1:`THE FATHER`)-[r]-(n2:`THE MOTHER`) - RETURN count(r) AS degree:result:1 -2024-10-30 06:51:16,619 - lightrag - INFO - edge_degree:query:MATCH (n1:`SCROOGE`)-[r]-(n2:`THE PEOPLE`) - RETURN count(r) AS degree:result:1 -2024-10-30 06:51:16,707 - lightrag - INFO - edge_degree:query:MATCH (n1:`CRATCHIT FAMILY`)-[r]-(n2:`SCROOGE`) - RETURN count(r) AS degree:result:1 -2024-10-30 06:51:16,800 - lightrag - INFO - edge_degree:query:MATCH (n1:`CRATCHIT FAMILY`)-[r]-(n2:`MRS. CRATCHIT`) - RETURN count(r) AS degree:result:1 -2024-10-30 06:51:16,893 - lightrag - INFO - edge_degree:query:MATCH (n1:`CHRISTMAS-TIME`)-[r]-(n2:`THE PHANTOM`) - RETURN count(r) AS degree:result:1 -2024-10-30 06:51:16,988 - lightrag - INFO - edge_degree:query:MATCH (n1:`CHRISTMAS`)-[r]-(n2:`GREAT BRITAIN`) - RETURN count(r) AS degree:result:1 -2024-10-30 06:51:17,084 - lightrag - INFO - edge_degree:query:MATCH (n1:`GHOST OF CHRISTMAS YET TO COME`)-[r]-(n2:`SCROOGE`) - RETURN count(r) AS degree:result:1 -2024-10-30 06:51:17,178 - lightrag - INFO - edge_degree:query:MATCH (n1:`CHRISTMAS`)-[r]-(n2:`HOLLY`) - RETURN count(r) AS degree:result:1 -2024-10-30 06:51:17,271 - lightrag - INFO - edge_degree:query:MATCH (n1:`SCROOGE`)-[r]-(n2:`SHADOW OF HIMSELF`) - RETURN count(r) AS degree:result:1 -2024-10-30 06:51:17,366 - lightrag - INFO - edge_degree:query:MATCH (n1:`SCROOGE`)-[r]-(n2:`THE CLERK`) - RETURN count(r) AS degree:result:1 -2024-10-30 06:51:17,458 - lightrag - INFO - edge_degree:query:MATCH (n1:`SCROOGE`)-[r]-(n2:`THE GHOST OF JACOB MARLEY`) - RETURN count(r) AS degree:result:1 -2024-10-30 06:51:17,551 - lightrag - INFO - edge_degree:query:MATCH (n1:`CHRISTMAS`)-[r]-(n2:`GEESE`) - RETURN count(r) AS degree:result:1 -2024-10-30 06:51:17,644 - lightrag - INFO - edge_degree:query:MATCH (n1:`SCROOGE`)-[r]-(n2:`THE MAIN STREET`) - RETURN count(r) AS degree:result:1 -2024-10-30 06:51:17,737 - lightrag - INFO - edge_degree:query:MATCH (n1:`SCROOGE`)-[r]-(n2:`VALENTINE`) - RETURN count(r) AS degree:result:1 -2024-10-30 06:51:17,827 - lightrag - INFO - edge_degree:query:MATCH (n1:`SCROOGE`)-[r]-(n2:`THE GHOST OF CHRISTMAS FUTURE`) - RETURN count(r) AS degree:result:1 -2024-10-30 06:51:17,918 - lightrag - INFO - edge_degree:query:MATCH (n1:`SCROOGE`)-[r]-(n2:`TWELFTH-NIGHT PARTY`) - RETURN count(r) AS degree:result:1 -2024-10-30 06:51:18,013 - lightrag - INFO - edge_degree:query:MATCH (n1:`THE CRATCHIT FAMILY`)-[r]-(n2:`THE DINNER`) - RETURN count(r) AS degree:result:1 -2024-10-30 06:51:18,105 - lightrag - INFO - edge_degree:query:MATCH (n1:`BOB CRATCHIT`)-[r]-(n2:`THE COUNTING-HOUSE`) - RETURN count(r) AS degree:result:1 -2024-10-30 06:51:18,194 - lightrag - INFO - edge_degree:query:MATCH (n1:`DEATH`)-[r]-(n2:`THE BED`) - RETURN count(r) AS degree:result:1 -2024-10-30 06:51:18,287 - lightrag - INFO - edge_degree:query:MATCH (n1:`CITY`)-[r]-(n2:`SPIRIT`) - RETURN count(r) AS degree:result:1 -2024-10-30 06:51:18,382 - lightrag - INFO - edge_degree:query:MATCH (n1:`CHRISTMAS FEAST`)-[r]-(n2:`CRATCHIT FAMILY`) - RETURN count(r) AS degree:result:1 -2024-10-30 06:51:18,476 - lightrag - INFO - edge_degree:query:MATCH (n1:`CRATCHIT FAMILY`)-[r]-(n2:`MARTHA`) - RETURN count(r) AS degree:result:1 -2024-10-30 06:51:18,566 - lightrag - INFO - edge_degree:query:MATCH (n1:`SCROOGE`)-[r]-(n2:`THE BUSINESSMEN`) - RETURN count(r) AS degree:result:1 -2024-10-30 06:51:18,657 - lightrag - INFO - edge_degree:query:MATCH (n1:`SCROOGE`)-[r]-(n2:`THE GENTLEMAN`) - RETURN count(r) AS degree:result:1 -2024-10-30 06:51:18,748 - lightrag - INFO - edge_degree:query:MATCH (n1:`JACOB MARLEY`)-[r]-(n2:`THE GHOST`) - RETURN count(r) AS degree:result:1 -2024-10-30 06:51:18,839 - lightrag - INFO - edge_degree:query:MATCH (n1:`MASTER SCROOGE`)-[r]-(n2:`SCROOGE`) - RETURN count(r) AS degree:result:1 -2024-10-30 06:51:18,935 - lightrag - INFO - edge_degree:query:MATCH (n1:`MANSION`)-[r]-(n2:`SCROOGE`) - RETURN count(r) AS degree:result:1 -2024-10-30 06:51:19,034 - lightrag - INFO - edge_degree:query:MATCH (n1:`CHRISTMAS`)-[r]-(n2:`FRENCH PLUMS`) - RETURN count(r) AS degree:result:1 -2024-10-30 06:51:19,126 - lightrag - INFO - edge_degree:query:MATCH (n1:`CHRISTMAS`)-[r]-(n2:`FIGS`) - RETURN count(r) AS degree:result:1 -2024-10-30 06:51:19,216 - lightrag - INFO - edge_degree:query:MATCH (n1:`BOB CRATCHIT`)-[r]-(n2:`SCROOGE`) - RETURN count(r) AS degree:result:1 -2024-10-30 06:51:19,308 - lightrag - INFO - edge_degree:query:MATCH (n1:`BRIDGE`)-[r]-(n2:`SCROOGE`) - RETURN count(r) AS degree:result:1 -2024-10-30 06:51:19,404 - lightrag - INFO - edge_degree:query:MATCH (n1:`SCROOGE`)-[r]-(n2:`THE BEAUTIFUL YOUNG GIRL`) - RETURN count(r) AS degree:result:1 -2024-10-30 06:51:19,497 - lightrag - INFO - edge_degree:query:MATCH (n1:`MRS. CRATCHIT`)-[r]-(n2:`TINY TIM`) - RETURN count(r) AS degree:result:1 -2024-10-30 06:51:19,589 - lightrag - INFO - edge_degree:query:MATCH (n1:`MARTHA`)-[r]-(n2:`TINY TIM`) - RETURN count(r) AS degree:result:1 -2024-10-30 06:51:19,684 - lightrag - INFO - edge_degree:query:MATCH (n1:`BOB CRATCHIT`)-[r]-(n2:`MRS. CRATCHIT`) - RETURN count(r) AS degree:result:1 -2024-10-30 06:51:19,775 - lightrag - INFO - edge_degree:query:MATCH (n1:`SCROOGE`)-[r]-(n2:`THE BLANKETS`) - RETURN count(r) AS degree:result:1 -2024-10-30 06:51:19,868 - lightrag - INFO - edge_degree:query:MATCH (n1:`SCROOGE`)-[r]-(n2:`TIM`) - RETURN count(r) AS degree:result:1 -2024-10-30 06:51:19,958 - lightrag - INFO - edge_degree:query:MATCH (n1:`MARLEY`)-[r]-(n2:`THE HEAVY CHAIN`) - RETURN count(r) AS degree:result:1 -2024-10-30 06:51:20,053 - lightrag - INFO - edge_degree:query:MATCH (n1:`MARLEY'S GHOST`)-[r]-(n2:`SCROOGE`) - RETURN count(r) AS degree:result:1 -2024-10-30 06:51:20,146 - lightrag - INFO - edge_degree:query:MATCH (n1:`BAD REPUTE`)-[r]-(n2:`SCROOGE`) - RETURN count(r) AS degree:result:1 -2024-10-30 06:51:20,239 - lightrag - INFO - edge_degree:query:MATCH (n1:`SCROOGE`)-[r]-(n2:`THE OFFICE`) - RETURN count(r) AS degree:result:1 -2024-10-30 06:51:20,334 - lightrag - INFO - edge_degree:query:MATCH (n1:`FAN`)-[r]-(n2:`SCROOGE`) - RETURN count(r) AS degree:result:1 -2024-10-30 06:51:20,432 - lightrag - INFO - edge_degree:query:MATCH (n1:`CAROLINE`)-[r]-(n2:`HOPE`) - RETURN count(r) AS degree:result:1 -2024-10-30 06:51:20,527 - lightrag - INFO - edge_degree:query:MATCH (n1:`MARTHA`)-[r]-(n2:`THE COUNTESS`) - RETURN count(r) AS degree:result:1 -2024-10-30 06:51:20,619 - lightrag - INFO - edge_degree:query:MATCH (n1:`THE CHILDREN`)-[r]-(n2:`THE HOUSE`) - RETURN count(r) AS degree:result:1 -2024-10-30 06:51:20,712 - lightrag - INFO - edge_degree:query:MATCH (n1:`SCROOGE`)-[r]-(n2:`THE COLD`) - RETURN count(r) AS degree:result:1 -2024-10-30 06:51:20,803 - lightrag - INFO - edge_degree:query:MATCH (n1:`BOB CRATCHIT`)-[r]-(n2:`THE CHRISTMAS DINNER`) - RETURN count(r) AS degree:result:1 -2024-10-30 06:51:20,898 - lightrag - INFO - edge_degree:query:MATCH (n1:`THE YOUNG CRATCHITS`)-[r]-(n2:`TINY TIM`) - RETURN count(r) AS degree:result:1 -2024-10-30 06:51:20,990 - lightrag - INFO - edge_degree:query:MATCH (n1:`PORTLY GENTLEMEN`)-[r]-(n2:`SCROOGE`) - RETURN count(r) AS degree:result:1 -2024-10-30 06:51:21,080 - lightrag - INFO - edge_degree:query:MATCH (n1:`SCROOGE`)-[r]-(n2:`THE SPIRIT`) - RETURN count(r) AS degree:result:1 -2024-10-30 06:51:21,171 - lightrag - INFO - edge_degree:query:MATCH (n1:`MARKET-TOWN`)-[r]-(n2:`SCROOGE`) - RETURN count(r) AS degree:result:1 -2024-10-30 06:51:21,264 - lightrag - INFO - edge_degree:query:MATCH (n1:`BOB CRATCHIT`)-[r]-(n2:`EBENEZER SCROOGE`) - RETURN count(r) AS degree:result:1 -2024-10-30 06:51:21,358 - lightrag - INFO - edge_degree:query:MATCH (n1:`CAMDEN TOWN`)-[r]-(n2:`SCROOGE`) - RETURN count(r) AS degree:result:1 -2024-10-30 06:51:21,462 - lightrag - INFO - edge_degree:query:MATCH (n1:`CHILD`)-[r]-(n2:`SCROOGE`) - RETURN count(r) AS degree:result:1 -2024-10-30 06:51:21,558 - lightrag - INFO - edge_degree:query:MATCH (n1:`BOB CRATCHIT`)-[r]-(n2:`MARTHA`) - RETURN count(r) AS degree:result:1 -2024-10-30 06:51:21,654 - lightrag - INFO - edge_degree:query:MATCH (n1:`SCROOGE`)-[r]-(n2:`THE GHOST OF CHRISTMAS YET TO COME`) - RETURN count(r) AS degree:result:1 -2024-10-30 06:51:21,746 - lightrag - INFO - edge_degree:query:MATCH (n1:`SCROOGE`)-[r]-(n2:`THE PHANTOM`) - RETURN count(r) AS degree:result:1 -2024-10-30 06:51:21,840 - lightrag - INFO - edge_degree:query:MATCH (n1:`SPIRIT`)-[r]-(n2:`WANT`) - RETURN count(r) AS degree:result:1 -2024-10-30 06:51:21,936 - lightrag - INFO - edge_degree:query:MATCH (n1:`CHRISTMAS`)-[r]-(n2:`PEOPLE`) - RETURN count(r) AS degree:result:1 -2024-10-30 06:51:22,029 - lightrag - INFO - edge_degree:query:MATCH (n1:`FRIDAY`)-[r]-(n2:`SCROOGE`) - RETURN count(r) AS degree:result:1 -2024-10-30 06:51:22,122 - lightrag - INFO - edge_degree:query:MATCH (n1:`MARLEY`)-[r]-(n2:`THE GHOST`) - RETURN count(r) AS degree:result:1 -2024-10-30 06:51:22,215 - lightrag - INFO - edge_degree:query:MATCH (n1:`BOB CRATCHIT`)-[r]-(n2:`THE COUNTING-HOUSE CLERK`) - RETURN count(r) AS degree:result:1 -2024-10-30 06:51:22,309 - lightrag - INFO - edge_degree:query:MATCH (n1:`FROST`)-[r]-(n2:`SCROOGE`) - RETURN count(r) AS degree:result:1 -2024-10-30 06:51:22,400 - lightrag - INFO - edge_degree:query:MATCH (n1:`SCROOGE`)-[r]-(n2:`THE FOUNDER OF THE FEAST`) - RETURN count(r) AS degree:result:1 -2024-10-30 06:51:22,495 - lightrag - INFO - edge_degree:query:MATCH (n1:`SCROOGE`)-[r]-(n2:`THE MEMORY`) - RETURN count(r) AS degree:result:1 -2024-10-30 06:51:22,589 - lightrag - INFO - edge_degree:query:MATCH (n1:`CHRISTMAS`)-[r]-(n2:`TURKEYS`) - RETURN count(r) AS degree:result:1 -2024-10-30 06:51:22,680 - lightrag - INFO - edge_degree:query:MATCH (n1:`SCROOGE`)-[r]-(n2:`THE MOURNING DRESS`) - RETURN count(r) AS degree:result:1 -2024-10-30 06:51:22,777 - lightrag - INFO - edge_degree:query:MATCH (n1:`BOB CRATCHIT`)-[r]-(n2:`MR. SCROOGE'S NEPHEW`) - RETURN count(r) AS degree:result:1 -2024-10-30 06:51:22,870 - lightrag - INFO - edge_degree:query:MATCH (n1:`MR. FEZZIWIG`)-[r]-(n2:`SCROOGE`) - RETURN count(r) AS degree:result:1 -2024-10-30 06:51:22,964 - lightrag - INFO - edge_degree:query:MATCH (n1:`SCROOGE`)-[r]-(n2:`SMOKING BISHOP`) - RETURN count(r) AS degree:result:1 -2024-10-30 06:51:23,060 - lightrag - INFO - edge_degree:query:MATCH (n1:`HOSPITAL`)-[r]-(n2:`SPIRIT`) - RETURN count(r) AS degree:result:1 -2024-10-30 06:51:23,154 - lightrag - INFO - edge_degree:query:MATCH (n1:`THE GHOST`)-[r]-(n2:`THE SPIRIT`) - RETURN count(r) AS degree:result:1 -2024-10-30 06:51:23,248 - lightrag - INFO - edge_degree:query:MATCH (n1:`SCROOGE`)-[r]-(n2:`THE COUNTING-HOUSE`) - RETURN count(r) AS degree:result:1 -2024-10-30 06:51:23,342 - lightrag - INFO - edge_degree:query:MATCH (n1:`DARKNESS`)-[r]-(n2:`SCROOGE`) - RETURN count(r) AS degree:result:1 -2024-10-30 06:51:23,442 - lightrag - INFO - edge_degree:query:MATCH (n1:`CHRISTMAS`)-[r]-(n2:`SCROOGE`) - RETURN count(r) AS degree:result:1 -2024-10-30 06:51:23,541 - lightrag - INFO - edge_degree:query:MATCH (n1:`DEATH`)-[r]-(n2:`THE FUTURE`) - RETURN count(r) AS degree:result:1 -2024-10-30 06:51:23,632 - lightrag - INFO - edge_degree:query:MATCH (n1:`SCROOGE`)-[r]-(n2:`THE FOG AND FROST`) - RETURN count(r) AS degree:result:1 -2024-10-30 06:51:23,725 - lightrag - INFO - edge_degree:query:MATCH (n1:`SCROOGE`)-[r]-(n2:`THE WINE-MERCHANT'S CELLAR`) - RETURN count(r) AS degree:result:1 -2024-10-30 06:51:23,815 - lightrag - INFO - edge_degree:query:MATCH (n1:`SCROOGE`)-[r]-(n2:`THE CITY`) - RETURN count(r) AS degree:result:1 -2024-10-30 06:51:23,906 - lightrag - INFO - edge_degree:query:MATCH (n1:`SCROOGE`)-[r]-(n2:`THE PRIME OF LIFE`) - RETURN count(r) AS degree:result:1 -2024-10-30 06:51:23,997 - lightrag - INFO - edge_degree:query:MATCH (n1:`SCROOGE`)-[r]-(n2:`THE PAST`) - RETURN count(r) AS degree:result:1 -2024-10-30 06:51:24,091 - lightrag - INFO - edge_degree:query:MATCH (n1:`SCROOGE`)-[r]-(n2:`THE REGISTER`) - RETURN count(r) AS degree:result:1 -2024-10-30 06:51:24,181 - lightrag - INFO - edge_degree:query:MATCH (n1:`BOB CRATCHIT`)-[r]-(n2:`MARTHA CRATCHIT`) - RETURN count(r) AS degree:result:1 -2024-10-30 06:51:24,272 - lightrag - INFO - edge_degree:query:MATCH (n1:`MARTHA`)-[r]-(n2:`THE LORD`) - RETURN count(r) AS degree:result:1 -2024-10-30 06:51:24,363 - lightrag - INFO - edge_degree:query:MATCH (n1:`SCROOGE`)-[r]-(n2:`THE PARROT`) - RETURN count(r) AS degree:result:1 -2024-10-30 06:51:24,458 - lightrag - INFO - edge_degree:query:MATCH (n1:`CRATCHIT FAMILY`)-[r]-(n2:`TINY TIM`) - RETURN count(r) AS degree:result:1 -2024-10-30 06:51:24,552 - lightrag - INFO - edge_degree:query:MATCH (n1:`MANSION`)-[r]-(n2:`THE GHOST`) - RETURN count(r) AS degree:result:1 -2024-10-30 06:51:24,646 - lightrag - INFO - edge_degree:query:MATCH (n1:`CHRISTMAS DAY`)-[r]-(n2:`CRATCHIT FAMILY`) - RETURN count(r) AS degree:result:1 -2024-10-30 06:51:24,737 - lightrag - INFO - edge_degree:query:MATCH (n1:`SCROOGE`)-[r]-(n2:`THE SCHOOLMASTER`) - RETURN count(r) AS degree:result:1 -2024-10-30 06:51:24,827 - lightrag - INFO - edge_degree:query:MATCH (n1:`THE HUSBAND`)-[r]-(n2:`THE MOTHER`) - RETURN count(r) AS degree:result:1 -2024-10-30 06:51:24,919 - lightrag - INFO - edge_degree:query:MATCH (n1:`SCROOGE`)-[r]-(n2:`WANT`) - RETURN count(r) AS degree:result:1 -2024-10-30 06:51:25,017 - lightrag - INFO - edge_degree:query:MATCH (n1:`EBENEZER SCROOGE`)-[r]-(n2:`THE CLOCK`) - RETURN count(r) AS degree:result:1 -2024-10-30 06:51:25,112 - lightrag - INFO - edge_degree:query:MATCH (n1:`SCROOGE`)-[r]-(n2:`TOPPER`) - RETURN count(r) AS degree:result:1 -2024-10-30 06:51:25,206 - lightrag - INFO - edge_degree:query:MATCH (n1:`SCROOGE`)-[r]-(n2:`THE KNOCKER`) - RETURN count(r) AS degree:result:1 -2024-10-30 06:51:25,300 - lightrag - INFO - edge_degree:query:MATCH (n1:`CHRISTMAS-TIME`)-[r]-(n2:`SCROOGE`) - RETURN count(r) AS degree:result:1 -2024-10-30 06:51:25,397 - lightrag - INFO - edge_degree:query:MATCH (n1:`BOB CRATCHIT`)-[r]-(n2:`PETER`) - RETURN count(r) AS degree:result:1 -2024-10-30 06:51:25,490 - lightrag - INFO - edge_degree:query:MATCH (n1:`MARLEY'S GHOST`)-[r]-(n2:`THE CHAIN`) - RETURN count(r) AS degree:result:1 -2024-10-30 06:51:25,584 - lightrag - INFO - edge_degree:query:MATCH (n1:`BELINDA CRATCHIT`)-[r]-(n2:`CRATCHIT FAMILY`) - RETURN count(r) AS degree:result:1 -2024-10-30 06:51:25,678 - lightrag - INFO - edge_degree:query:MATCH (n1:`RED-FACED GENTLEMAN`)-[r]-(n2:`SCROOGE`) - RETURN count(r) AS degree:result:1 -2024-10-30 06:51:25,771 - lightrag - INFO - edge_degree:query:MATCH (n1:`SCROOGE`)-[r]-(n2:`THE SITTING ROOM`) - RETURN count(r) AS degree:result:1 -2024-10-30 06:51:25,862 - lightrag - INFO - edge_degree:query:MATCH (n1:`CHRISTMAS`)-[r]-(n2:`THE LAMPLIGHTER`) - RETURN count(r) AS degree:result:1 -2024-10-30 06:51:25,965 - lightrag - INFO - edge_degree:query:MATCH (n1:`SCROOGE`)-[r]-(n2:`THE DECEASED MAN`) - RETURN count(r) AS degree:result:1 -2024-10-30 06:51:26,060 - lightrag - INFO - edge_degree:query:MATCH (n1:`SCROOGE`)-[r]-(n2:`THE CASK`) - RETURN count(r) AS degree:result:1 -2024-10-30 06:51:26,069 - lightrag - INFO - Local query uses 60 entites, 20 relations, 3 text units -2024-10-30 06:51:43,941 - lightrag - INFO - Creating a new event loop in a sub-thread. -2024-10-30 06:51:44,568 - lightrag - INFO - get_edge:query: - MATCH (start:`CHRISTMAS`)-[r]->(end:`SCROOGE`) - RETURN properties(r) as edge_properties - LIMIT 1 - :result:{'keywords': '"character development, festive spirit""conflict, holiday spirit""contrast, seasonal significance""disconnection, festive spirit""holiday significance, reflection""holiday significance, transformation""holiday spirit, social critique""nostalgia, reflection""reflection, redemption""rejection, festive spirit""renewal, change""seasonal significance, emotional reflection""transformation, disdain""transformation, festive spirit""transformation, holiday significance""transformation, holiday spirit"', 'weight': 169.0, 'description': '"Christmas becomes a focal point for Scrooge\'s promise to change and embrace life, symbolizing hope and renewal.""Christmas is a central theme that invokes Scrooge\'s memories of his past, his feelings of loneliness, and his desire to connect.""Christmas serves as a focal point for Scrooge\'s emotional reflections on joy and his disconnect from societal celebrations.""Christmas serves as the catalyst for Scrooge\'s transformation, highlighting themes of giving and compassion.""Scrooge expresses disdain for Christmas, viewing it as a burden rather than a celebration.""Scrooge\'s attitude towards Christmas highlights his disconnection from the festive spirit and charity associated with the holiday.""Scrooge\'s character contrasts sharply with the joy of Christmas, highlighting his disdain for the festive season.""Scrooge\'s experience during the Christmas event highlights the transformation of his character and the spirit of the holiday.""Scrooge\'s journey with the Spirit ultimately leads him to reflect on the meaning of Christmas and its impact on human connections.""Scrooge\'s transformation and newfound joy are directly linked to the spirit of Christmas.""Scrooge\'s transformation is centered around the spirit of Christmas, which he learns to embrace and celebrate.""Scrooge\'s views on Christmas evolve as he witnesses the joy and familial love associated with the holiday, marking a shift in his character.""Scrooge reflects on Christmas with a mix of emotions, highlighting its importance in his life and character arc.""Scrooge\'s attitude towards Christmas is one of disdain, setting the stage for his eventual transformation as he confronts the meaning of the holiday.""Scrooge\'s involvement in the Christmas activities represents a significant moment of change in his character, as he becomes more engaged and merry.""Scrooge\'s refusal to celebrate Christmas reflects his overall attitude towards generosity and societal obligations during this festive time.""Scrooge\'s rejection of Christmas embodies his overall discord with the spirit of the holiday, viewing it as a time of financial burden instead of joy.""Scrooge\'s transformation is closely linked to the celebration of Christmas, highlighting themes of giving and joy.""Scrooge\'s transformation is closely tied to the spirit of Christmas, marking a significant personal change during this event."', 'source_id': 'chunk-43c9bee23adfa77aa9dedd22401bba7dchunk-74e2466de2f67fd710ef2f20c0a8d9e0chunk-89777b838d5447c7bd1ec11282c4ee89chunk-e7637ff18c5ded77a68cce0a87883fadchunk-da2472b4ef2a535b62908f14d0fb0ca9chunk-90d5764e301321c087f5a8f78b73a145chunk-91614df5cb74cbe5e109a338a82041e9chunk-91572b3cd42786ba4cb2f180ca25cbf4chunk-8f738cb25d60a7dab782162d9d0a25edchunk-94bea83e7153fc2064aa382b494936a1chunk-54bdd22db1f84a965b5f4c06c9216d8dchunk-8590d9263cd2cd4fa583c432fc54e6c3chunk-99b0ec7f7e006561352b5d65e849611d'} -2024-10-30 06:51:44,703 - lightrag - INFO - get_edge:query: - MATCH (start:`THE CANDLE`)-[r]->(end:`THE FOG AND FROST`) - RETURN properties(r) as edge_properties - LIMIT 1 - :result:{'keywords': '"hope, contrast"', 'weight': 12.0, 'description': '"The Candle symbolizes a flicker of warmth and hope in the bleak setting of Fog and Frost, contrasting the overall atmosphere."', 'source_id': 'chunk-d9aac3484185ac66045df92214d245d5'} -2024-10-30 06:51:44,797 - lightrag - INFO - get_edge:query: - MATCH (start:`SCROOGE`)-[r]->(end:`THE GHOST`) - RETURN properties(r) as edge_properties - LIMIT 1 - :result:{'keywords': '"guidance, emotional exploration""guidance, transformation""memory, influence""rebuke, self-discovery""reflection, guidance""self-reflection, transformation""supernatural encounter, confusion""supernatural guidance, transformation""supernatural interaction, past actions"', 'weight': 78.0, 'description': '"Scrooge interacts with The Ghost of Jacob Marley, which highlights his struggle with the supernatural and his past actions.""Scrooge\'s engagement with The Ghost prompts a significant emotional and psychological transformation as he confronts his past.""The Ghost guides Scrooge through visions of his past, forcing him to confront his choices and their consequences.""The Ghost influences Scrooge\'s reflections on his past and his current emotions regarding Christmas festivities.""The Ghost serves as a catalyst for Scrooge\'s reflections, guiding him to confront his past and feelings about Christmas.""Scrooge\'s interaction with The Ghost leads to significant inner turmoil and contemplation about dreams and reality.""The Ghost influences Scrooge\'s journey by revealing his past, driving the narrative of his redemption.""The Ghost interacts with Scrooge, revealing truths that challenge his perspective on life and death.""The Ghost prompts Scrooge to remember significant moments, driving his emotional exploration of the past."', 'source_id': 'chunk-c7b10789a9cb0af6c553730b29bd9034chunk-43c9bee23adfa77aa9dedd22401bba7dchunk-da2472b4ef2a535b62908f14d0fb0ca9chunk-cb661c37436355ccec2769b1d0350c5fchunk-54bdd22db1f84a965b5f4c06c9216d8dchunk-8590d9263cd2cd4fa583c432fc54e6c3chunk-83ac129dc9b56f84c46760d153d68e93'} -2024-10-30 06:51:44,892 - lightrag - INFO - get_edge:query: - MATCH (start:`MARLEY`)-[r]->(end:`SCROOGE`) - RETURN properties(r) as edge_properties - LIMIT 1 - :result:{'keywords': '"ghostly encounter, transformation""mourning, partnership""partnership, regret""past influence, personal history""past influence, regret""redemption, confrontation""reflection, theme of regret""supernatural connection, past relationships"', 'weight': 65.0, 'description': '"Marley’s influence and past relationship with Scrooge is indicated, suggesting a connection that impacts Scrooge\'s character growth.""Scrooge is deeply affected by Marley\'s death, illustrated through his role as the sole executor and mourner of Marley.""Scrooge reflects on Marley, revealing his past connection and the haunting aspect of Marley\'s death, which influences Scrooge\'s character arc.""Scrooge\'s encounter with Marley’s Ghost serves as a confrontation with his past self and the life choices he regrets, depicting the theme of redemption.""Scrooge and Marley were business partners, and Marley\'s death greatly impacts Scrooge, highlighting themes of loss and regret.""Scrooge encounters Marley’s ghost, which challenges his beliefs and signifies the start of his transformation.""Scrooge reflects on Marley\'s death, indicating the profound effect it had on his life, shaping his current perspective on generosity and the holidays.""Scrooge\'s reflection on Marley underscores the theme of regret and the potential for change in his character\'s journey."', 'source_id': 'chunk-5dac41b3f9eeaf794f0147400b1718cdchunk-89777b838d5447c7bd1ec11282c4ee89chunk-d9aac3484185ac66045df92214d245d5chunk-9c43dac2fcd5b578242d907ea6f8fc7bchunk-843b5b2f944c7413d9ca876e2e2f151f'} -2024-10-30 06:51:44,986 - lightrag - INFO - get_edge:query: - MATCH (start:`MANSION`)-[r]->(end:`SCROOGE`) - RETURN properties(r) as edge_properties - LIMIT 1 - :result:{'keywords': '"symbolism, emotional state"', 'weight': 16.0, 'description': '"The Mansion symbolizes the neglect and decay that parallels Scrooge\'s own emotional state and memories of his past."', 'source_id': 'chunk-8590d9263cd2cd4fa583c432fc54e6c3'} -2024-10-30 06:51:45,080 - lightrag - INFO - get_edge:query: - MATCH (start:`GHOST`)-[r]->(end:`SCROOGE`) - RETURN properties(r) as edge_properties - LIMIT 1 - :result:{'keywords': '"moral lesson, reflection""reflection, self-discovery""spiritual guidance, transformation"', 'weight': 26.0, 'description': '"Scrooge interacts directly with the Ghost, who aims to teach him about the errors of his ways and the importance of caring for others.""The Ghost guides Scrooge through reflections of his past, influencing his journey toward redemption.""The Ghost takes Scrooge on a journey to teach him lessons about generosity and compassion towards others."', 'source_id': 'chunk-359187e7571bda4b0b08b2e0b6581e52chunk-c6c248858d1b13ab7ee9ca13c1aeed6bchunk-e7637ff18c5ded77a68cce0a87883fad'} -2024-10-30 06:51:45,175 - lightrag - INFO - get_edge:query: - MATCH (start:`SCROOGE`)-[r]->(end:`THE MEMORY`) - RETURN properties(r) as edge_properties - LIMIT 1 - :result:{'keywords': '"reflection, impact of past"', 'weight': 16.0, 'description': '"Scrooge\'s memories play a crucial role in shaping his perspective on love and happiness as he confronts his past."', 'source_id': 'chunk-54bdd22db1f84a965b5f4c06c9216d8d'} -2024-10-30 06:51:45,271 - lightrag - INFO - get_edge:query: - MATCH (start:`SCROOGE`)-[r]->(end:`THE GHOST OF CHRISTMAS PAST`) - RETURN properties(r) as edge_properties - LIMIT 1 - :result:{'keywords': '"introspection, memory""reflection, guidance""self-reflection, guidance"', 'weight': 28.0, 'description': '"Scrooge\'s interaction with the Ghost of Christmas Past highlights his journey of self-reflection and struggle with his past decisions.""The Ghost of Christmas Past guides Scrooge through recollections, prompting his introspection about his former self and choices.""The Ghost of Christmas Past helps Scrooge reflect on his past choices, which is crucial for his transformation."', 'source_id': 'chunk-b2f98bc7abb0c67d4c86055c7fd72218chunk-90b95db5c53e4364a6bee36b7aa4d70f'} -2024-10-30 06:51:45,365 - lightrag - INFO - get_edge:query: - MATCH (start:`JACOB MARLEY`)-[r]->(end:`SCROOGE`) - RETURN properties(r) as edge_properties - LIMIT 1 - :result:{'keywords': '"catalyst for change, supernatural guidance""past influence, warning""redemption, influence""redemption, moral lesson""redemption, spiritual influence""self-reflection, legacy""supernatural encounter, past ties""transformation, influence""warning, catalyst""warning, consequence""warning, transformation"', 'weight': 98.0, 'description': '"Jacob Marley influences Scrooge\'s transformation by appearing as a spirit to warn him.""Jacob Marley is the spirit who brings forth the need for Scrooge to change his ways, impacting his character development.""Scrooge confronts Jacob Marley, his former business partner, who returns as a ghost to influence Scrooge\'s perspective on life and his actions.""Scrooge converses with the ghost of Jacob Marley, who tries to guide him toward understanding the importance of compassion and the consequences of his actions.""Scrooge interacts with Jacob Marley, who serves as a critical warning for Scrooge to change his ways before it\'s too late.""Scrooge reflects on Jacob Marley’s past warnings, which serve as a catalyst for his transformation.""Scrooge\'s transformation is prompted by the appearance and message of Jacob Marley, his former business partner.""Jacob Marley warns Scrooge about his fate and the importance of change, acting as a catalyst for Scrooge\'s transformation.""Scrooge acknowledges Jacob Marley, recognizing his former business partner\'s lost opportunities and the implications for his own life.""Scrooge is visited by Jacob Marley, who warns him about his fate and the necessity for personal change to avoid a bleak future.""Scrooge\'s transformation is influenced by Jacob Marley\'s ghost, who represents the consequences of a life poorly lived."', 'source_id': 'chunk-90b95db5c53e4364a6bee36b7aa4d70fchunk-359187e7571bda4b0b08b2e0b6581e52chunk-da2472b4ef2a535b62908f14d0fb0ca9chunk-02baee20cc9463dbe08170a8e1043e32chunk-1aa50206d02ed89418f65f97c6441d1cchunk-91572b3cd42786ba4cb2f180ca25cbf4chunk-cb661c37436355ccec2769b1d0350c5f'} -2024-10-30 06:51:45,461 - lightrag - INFO - get_edge:query: - MATCH (start:`THE CRATCHIT HOUSEHOLD`)-[r]->(end:`THE SUBURBS`) - RETURN properties(r) as edge_properties - LIMIT 1 - :result:{'keywords': '"social commentary, inequality"', 'weight': 12.0, 'description': '"The Suburbs illustrate the challenges faced by families like The Cratchit Household, emphasizing social inequality."', 'source_id': 'chunk-b0f459f5af1c3a5e0b92cbe4ee48b77b'} -2024-10-30 06:51:45,556 - lightrag - INFO - get_edge:query: - MATCH (start:`CHRISTMAS`)-[r]->(end:`THE SPIRIT`) - RETURN properties(r) as edge_properties - LIMIT 1 - :result:{'keywords': '"holiday spirit, compassion""seasonal influence, moral reflection"', 'weight': 34.0, 'description': '"The Spirit connects various scenes to the theme of Christmas, emphasizing its impact on individuals’ attitudes and behaviors.""The Spirit connects various scenes to the theme of Christmas, emphasizing its impact on individuals’ attitudes and behaviors.""The Spirit\'s appearances highlight the themes of Christmas and the importance of compassion and community.""The Spirit\'s appearances highlight the themes of Christmas and the importance of compassion and community."', 'source_id': 'chunk-91614df5cb74cbe5e109a338a82041e9chunk-da2472b4ef2a535b62908f14d0fb0ca9'} -2024-10-30 06:51:45,655 - lightrag - INFO - get_edge:query: - MATCH (start:`JOE`)-[r]->(end:`THE WOMAN`) - RETURN properties(r) as edge_properties - LIMIT 1 - :result:{'keywords': '"conversational dynamics, materialism""dialogue, humor, death""humor, interaction""social interaction, community dynamics"', 'weight': 23.0, 'description': '"Joe and The Woman are engaged in a discussion about the deceased man’s belongings, illustrating their shared perspective on material possessions.""Joe and The Woman engage in a conversation, highlighting community dynamics and common social interactions among friends or acquaintances.""Joe and The Woman engage in dialogue about the deceased\'s belongings, showcasing their interactions and differing attitudes towards death.""Joe and The Woman share a humorous exchange about the bed-curtains, reflecting the jovial spirit of the gathering."', 'source_id': 'chunk-e1f29eeadc1d8ab46dc8a0bbd3c56b64chunk-89777b838d5447c7bd1ec11282c4ee89'} -2024-10-30 06:51:45,750 - lightrag - INFO - get_edge:query: - MATCH (start:`SCROOGE`)-[r]->(end:`SCROOGE'S NIECE`) - RETURN properties(r) as edge_properties - LIMIT 1 - :result:{'keywords': '"family bonds, celebration""family conflict, holiday spirit""family dynamics, transformation""ideological conflict, family dynamics"', 'weight': 30.0, 'description': '"Scrooge observes his niece enjoying the Christmas festivities, which influences his own mood and perspective towards the holiday spirit.""Scrooge\'s Niece expresses indignation towards Scrooge\'s belief that Christmas is a humbug, demonstrating her strong opinions against his views.""Scrooge\'s niece embraces the joyful atmosphere of the celebration, engaging with family and inviting good-natured fun.""Scrooge\'s Niece shows indignation toward Scrooge\'s negativity about Christmas, highlighting the familial tensions between them."', 'source_id': 'chunk-773d0df1dd25c356f7b771d780583e09chunk-43c9bee23adfa77aa9dedd22401bba7d'} -2024-10-30 06:51:45,842 - lightrag - INFO - get_edge:query: - MATCH (start:`SCROOGE`)-[r]->(end:`THE CITY`) - RETURN properties(r) as edge_properties - LIMIT 1 - :result:{'keywords': '"disconnection, personal evolution""reflection, urban life""transformation, community""urban setting, contrast"', 'weight': 26.0, 'description': '"Scrooge\'s reflections in the City highlight his relationship with his past and the contrast of his current life.""Scrooge\'s relationship with The City is marked by detachment, representing his lost connection to his past self and experiences.""Scrooge\'s transformation impacts The City as he learns to embrace Christmas spirit and generosity within his community.""The City serves as a backdrop for Scrooge\'s memories, contrasting the vibrant life he once had with his current isolation."', 'source_id': 'chunk-c6c248858d1b13ab7ee9ca13c1aeed6bchunk-94bea83e7153fc2064aa382b494936a1chunk-bb21d58d36c6306fd8810ddd51c4a971'} -2024-10-30 06:51:45,937 - lightrag - INFO - get_edge:query: - MATCH (start:`GHOST`)-[r]->(end:`SPECTRE`) - RETURN properties(r) as edge_properties - LIMIT 1 - :result:{'keywords': '"identity, motivation"', 'weight': 20.0, 'description': '"The Spectre is synonymous with the Ghost, representing the collective spirit urging Scrooge to change his ways."', 'source_id': 'chunk-359187e7571bda4b0b08b2e0b6581e52'} -2024-10-30 06:51:46,033 - lightrag - INFO - get_edge:query: - MATCH (start:`SCROOGE`)-[r]->(end:`SPIRIT`) - RETURN properties(r) as edge_properties - LIMIT 1 - :result:{'keywords': '"guidance, emotional journey""guidance, personal growth""guidance, reflection""guidance, transformation""personal growth, spiritual journey""reflection, guidance""transformation, mentorship"', 'weight': 74.0, 'description': '"Scrooge engages with the Spirit, who guides him through reflections on his life and warns him of societal issues.""Scrooge learns from the Spirit about the consequences of his actions and the sentiments evoked by death, leading to personal growth.""Scrooge’s interaction with the Spirit emphasizes the emotional weight of his past decisions and feelings as they relate to his transformation.""The Spirit directly influences Scrooge’s transformation and highlights the importance of compassion in human life.""Scrooge interacts with the Spirit, who has come to teach him about the meaning of Christmas and share lessons of generosity.""Scrooge is guided by the Spirit to reflect on the impact of death, learning important lessons about life and legacy.""Scrooge is guided by the Spirit, who prompts him to reflect on his life and its consequences.""Scrooge\'s interactions with the Spirit serve to illuminate his past and its influence on his current self.""The Spirit serves as a guide for Scrooge, showing him visions that lead to his personal transformation and moral awakening."', 'source_id': 'chunk-e7637ff18c5ded77a68cce0a87883fadchunk-02baee20cc9463dbe08170a8e1043e32chunk-83ac129dc9b56f84c46760d153d68e93chunk-843b5b2f944c7413d9ca876e2e2f151fchunk-bb21d58d36c6306fd8810ddd51c4a971'} -2024-10-30 06:51:46,128 - lightrag - INFO - get_edge:query: - MATCH (start:`MARLEY'S FUNERAL`)-[r]->(end:`SCROOGE`) - RETURN properties(r) as edge_properties - LIMIT 1 - :result:{'keywords': '"loss, character journey"', 'weight': 18.0, 'description': '"Marley\'s Funeral signifies the beginning of Scrooge\'s emotional journey, showcasing his reaction to loss and setting the stage for the narrative."', 'source_id': 'chunk-89777b838d5447c7bd1ec11282c4ee89'} -2024-10-30 06:51:46,218 - lightrag - INFO - get_edge:query: - MATCH (start:`IGNORANCE`)-[r]->(end:`SPIRIT`) - RETURN properties(r) as edge_properties - LIMIT 1 - :result:{'keywords': '"social issues, awareness""social warning, awareness"', 'weight': 30.0, 'description': '"The Spirit introduces Ignorance to Scrooge as a representation of societal failures, urging him to acknowledge and address these issues.""The Spirit introduces Ignorance to Scrooge as a representation of societal failures, urging him to acknowledge and address these issues.""The Spirit points out Ignorance, highlighting the need for awareness and responsibility toward societal issues.""The Spirit points out Ignorance, highlighting the need for awareness and responsibility toward societal issues."', 'source_id': 'chunk-02baee20cc9463dbe08170a8e1043e32chunk-e7637ff18c5ded77a68cce0a87883fad'} -2024-10-30 06:51:46,313 - lightrag - INFO - get_edge:query: - MATCH (start:`SCROOGE`)-[r]->(end:`THE SPIRIT`) - RETURN properties(r) as edge_properties - LIMIT 1 - :result:{'keywords': '"guidance, self-reflection""guidance, transformation""introspection, guidance""moral guidance, change""moral guidance, transformation""self-reflection, transformation""supernatural guidance, self-reflection""supernatural intervention, guidance"', 'weight': 93.0, 'description': '"Scrooge engages with the Spirit as it reveals memories that prompt significant self-reflection and consideration of change.""Scrooge is guided by the Spirit, who shows him different scenes related to the joy and struggles of Christmas, aiming to change his heart.""The Spirit challenges Scrooge\'s perspective on life, urging him to consider the implications of his actions in light of death.""The Spirit represents an upcoming change in Scrooge\'s life, aiming to guide him towards redemption.""The Spirit represents moral lessons and urges Scrooge to change his ways for a better future.""Scrooge\'s interaction with The Spirit serves as a pivotal moment for him to reflect on his past decisions and seek wisdom.""The Spirit guides Scrooge through his memories, facilitating his emotional journey and transformation.""The Spirit interacts with Scrooge, guiding him to confront his past and future, emphasizing change and moral growth.""The Spirit is guiding Scrooge through different scenes, aiming to transform his character and perspective on life.""The Spirit serves as the medium for Scrooge\'s journey of self-discovery and accountability."', 'source_id': 'chunk-da2472b4ef2a535b62908f14d0fb0ca9chunk-e1f29eeadc1d8ab46dc8a0bbd3c56b64chunk-91614df5cb74cbe5e109a338a82041e9chunk-91572b3cd42786ba4cb2f180ca25cbf4chunk-f1a4fbcf1ed86864b9bfd5e8dba4c683chunk-8590d9263cd2cd4fa583c432fc54e6c3chunk-b2f98bc7abb0c67d4c86055c7fd72218'} -2024-10-30 06:51:46,412 - lightrag - INFO - get_edge:query: - MATCH (start:`CLOCK`)-[r]->(end:`SCROOGE`) - RETURN properties(r) as edge_properties - LIMIT 1 - :result:{'keywords': '"time symbolism, anxiety"', 'weight': 14.0, 'description': '"Scrooge\'s observations of the Clock reflect his anxiety over time and the supernatural events unfolding around him."', 'source_id': 'chunk-c7b10789a9cb0af6c553730b29bd9034'} -2024-10-30 06:51:46,507 - lightrag - INFO - get_edge:query: - MATCH (start:`SCROOGE`)-[r]->(end:`THE GRATE`) - RETURN properties(r) as edge_properties - LIMIT 1 - :result:{'keywords': '"coldness, minimalism""isolation, setting mood"', 'weight': 12.0, 'description': '"Scrooge\'s small fire in The Grate represents his need for warmth and symbolizes his cold heart initially showing longing for comfort.""The Grate\'s cold fire adds to the bleak setting of Scrooge\'s home, illustrating his disconnection from warmth and comfort before the supernatural events unfold."', 'source_id': 'chunk-9c43dac2fcd5b578242d907ea6f8fc7b'} -2024-10-30 06:51:46,600 - lightrag - INFO - get_edge:query: - MATCH (start:`JOE`)-[r]->(end:`SCROOGE`) - RETURN properties(r) as edge_properties - LIMIT 1 - :result:{'keywords': '"perspective contrast, moral dilemma"', 'weight': 12.0, 'description': '"Joe\'s cynical attitude towards death and belongings contrasts with Scrooge\'s moral horror, creating a tension between their perspectives."', 'source_id': 'chunk-e1f29eeadc1d8ab46dc8a0bbd3c56b64'} -2024-10-30 06:51:46,698 - lightrag - INFO - get_edge:query: - MATCH (start:`SCROOGE`)-[r]->(end:`THE COUNTING-HOUSE`) - RETURN properties(r) as edge_properties - LIMIT 1 - :result:{'keywords': '"work environment, character development""work environment, emotional landscape""work environment, personality reflection"', 'weight': 20.0, 'description': '"Scrooge\'s work environment reflects his personality, being cold and uninviting, mirroring his discontent with life.""The Counting-House is where Scrooge works, illustrating the environment that shapes his bleak personality.""The Counting-House represents Scrooge\'s work environment, which is devoid of warmth, paralleling Scrooge\'s cold demeanor."', 'source_id': 'chunk-d9aac3484185ac66045df92214d245d5chunk-74e2466de2f67fd710ef2f20c0a8d9e0'} -2024-10-30 06:51:46,795 - lightrag - INFO - get_edge:query: - MATCH (start:`SCROOGE`)-[r]->(end:`THE HOUSE`) - RETURN properties(r) as edge_properties - LIMIT 1 - :result:{'keywords': '"haunting, setting influence""setting, atmosphere"', 'weight': 15.0, 'description': '"Scrooge\'s experiences and encounters with Marley occur within The House, which plays a significant role in the haunting atmosphere.""Scrooge\'s experiences with Marley\'s Ghost occur within The House, which plays a crucial role in the haunting atmosphere."', 'source_id': 'chunk-9c43dac2fcd5b578242d907ea6f8fc7b'} -2024-10-30 06:51:46,892 - lightrag - INFO - get_edge:query: - MATCH (start:`SPIRIT`)-[r]->(end:`WANT`) - RETURN properties(r) as edge_properties - LIMIT 1 - :result:{'keywords': '"social issues, need for compassion""social warning, deprivation"', 'weight': 30.0, 'description': '"The Spirit points out Want, symbolizing the dire consequences of neglecting societal needs.""The Spirit points out Want, symbolizing the dire consequences of neglecting societal needs.""The Spirit presents Want along with Ignorance, symbolizing the plight of the less fortunate and appealing for compassion.""The Spirit presents Want along with Ignorance, symbolizing the plight of the less fortunate and appealing for compassion."', 'source_id': 'chunk-02baee20cc9463dbe08170a8e1043e32chunk-e7637ff18c5ded77a68cce0a87883fad'} -2024-10-30 06:51:46,987 - lightrag - INFO - get_edge:query: - MATCH (start:`SCROOGE`)-[r]->(end:`TIM`) - RETURN properties(r) as edge_properties - LIMIT 1 - :result:{'keywords': '"familial connection, emotional depth"', 'weight': 16.0, 'description': '"Scrooge\'s connection to Tim emphasizes emotional depth, reflecting on family and lost connections as part of his character development."', 'source_id': 'chunk-89777b838d5447c7bd1ec11282c4ee89'} -2024-10-30 06:51:47,082 - lightrag - INFO - get_edge:query: - MATCH (start:`FOG`)-[r]->(end:`SCROOGE`) - RETURN properties(r) as edge_properties - LIMIT 1 - :result:{'keywords': '"atmosphere, emotional reflection""obscurity, isolation"', 'weight': 16.0, 'description': '"Fog represents the obscured vision of Scrooge\'s soul and emotions, aligning with his unknowable nature.""The fog obscures vision and symbolizes Scrooge’s cloudy outlook on life, illustrating his isolation from societal warmth."', 'source_id': 'chunk-d9aac3484185ac66045df92214d245d5chunk-74e2466de2f67fd710ef2f20c0a8d9e0'} -2024-10-30 06:51:47,175 - lightrag - INFO - get_edge:query: - MATCH (start:`SCROOGE`)-[r]->(end:`THE CORPSE`) - RETURN properties(r) as edge_properties - LIMIT 1 - :result:{'keywords': '"introspection, life choices"', 'weight': 18.0, 'description': '"Scrooge’s horror upon seeing The Corpse prompts deep reflection on his own life choices and morality."', 'source_id': 'chunk-e1f29eeadc1d8ab46dc8a0bbd3c56b64'} -2024-10-30 06:51:47,267 - lightrag - INFO - get_edge:query: - MATCH (start:`SCROOGE`)-[r]->(end:`TINY TIM`) - RETURN properties(r) as edge_properties - LIMIT 1 - :result:{'keywords': '"generosity, familial love""innocence, hope""personal transformation, empathy""reflection, transformation""transformation, holiday spirit""transformation, mentorship""transformation, redemption"', 'weight': 67.0, 'description': '"Scrooge becomes a father figure to Tiny Tim, showing a deep commitment to his well-being after realizing the importance of family and caring for others.""Scrooge reflects on Tiny Tim and expresses concern for his wellbeing, indicating a pivotal change in his character and attitudes towards the less fortunate.""Scrooge\'s transformation is influenced by his reflections on the impact of Tiny Tim\'s life and death.""Scrooge becomes emotionally affected by Tiny Tim\'s situation, leading him to reflect on his past words and actions regarding the welfare of others.""Scrooge expresses a newfound joy during Christmas, indicating a change in attitude towards the spirit symbolized by Tiny Tim.""Scrooge reflects on Tiny Tim\'s essence and the impact of his potential death, considering how it could prompt him to change his ways.""Scrooge\'s intention to send a large turkey to Bob Cratchit\'s family, particularly to Tiny Tim, shows his emotional connection and desire to help.""Tiny Tim is affected by the family\'s feelings towards Scrooge, and he embodies the hope for joy despite Scrooge\'s unkind nature."', 'source_id': 'chunk-90b95db5c53e4364a6bee36b7aa4d70fchunk-19d72c57ae3408758b18d2568e86dc6bchunk-503f0bfa5453467c7c61d160a3540ecachunk-91572b3cd42786ba4cb2f180ca25cbf4chunk-8f738cb25d60a7dab782162d9d0a25edchunk-94bea83e7153fc2064aa382b494936a1'} -2024-10-30 06:51:47,378 - lightrag - INFO - get_edge:query: - MATCH (start:`CHILD`)-[r]->(end:`SCROOGE`) - RETURN properties(r) as edge_properties - LIMIT 1 - :result:{'keywords': '"self-reflection, past connection"', 'weight': 16.0, 'description': '"Scrooge sees his younger self in the solitary child, sparking deep emotional reflections about his past and choices."', 'source_id': 'chunk-8590d9263cd2cd4fa583c432fc54e6c3'} -2024-10-30 06:51:47,474 - lightrag - INFO - get_edge:query: - MATCH (start:`GHOST OF CHRISTMAS PAST`)-[r]->(end:`SCROOGE`) - RETURN properties(r) as edge_properties - LIMIT 1 - :result:{'keywords': '"reflection, guidance""reflection, past influence""reflection, transformation"', 'weight': 25.0, 'description': '"Scrooge engages with the Ghost of Christmas Past to explore and reflect on his life and choices.""Scrooge engages with the Ghost of Christmas Past to explore his earlier life, seeking insight into his current state.""The Ghost of Christmas Past shows Scrooge experiences from his life that prompt his transformation."', 'source_id': 'chunk-9e3921da66da5d761ab73cd849af6c43chunk-bb21d58d36c6306fd8810ddd51c4a971'} -2024-10-30 06:51:47,565 - lightrag - INFO - get_edge:query: - MATCH (start:`CHRISTMAS EVE`)-[r]->(end:`SCROOGE`) - RETURN properties(r) as edge_properties - LIMIT 1 - :result:{'keywords': '"holiday spirit, character development"', 'weight': 16.0, 'description': '"Scrooge\'s actions and attitudes towards Christmas Eve highlight his disdain for traditional celebrations, setting the tone for his character arc."', 'source_id': 'chunk-d9aac3484185ac66045df92214d245d5'} -2024-10-30 06:51:47,659 - lightrag - INFO - get_edge:query: - MATCH (start:`MARLEY'S GHOST`)-[r]->(end:`SCROOGE`) - RETURN properties(r) as edge_properties - LIMIT 1 - :result:{'keywords': '"confrontation, supernatural experience""reflection, consequence""supernatural confrontation, regret""supernatural encounter, existential crisis""warning, fate"', 'weight': 43.0, 'description': '"Marley\'s Ghost warns Scrooge about the consequences of his actions and the visits of the three spirits, setting the stage for his transformation.""Scrooge is haunted by Marley\'s Ghost, which confronts him as a part of a supernatural occurrence meant to incite fear and reflection on his life choices.""Scrooge is confronted by Marley\'s Ghost, representing the struggle between his disbelief and the ghost\'s insistence on showing the consequences of Scrooge\'s life choices.""Scrooge is directly confronted by Marley\'s Ghost, leading to confusion and existential questioning on his part.""Scrooge reacts to Marley\'s Ghost, reflecting on his past as he is warned about the consequences of his actions."', 'source_id': 'chunk-c7b10789a9cb0af6c553730b29bd9034chunk-9c43dac2fcd5b578242d907ea6f8fc7bchunk-cb661c37436355ccec2769b1d0350c5fchunk-1aa50206d02ed89418f65f97c6441d1c'} -2024-10-30 06:51:47,753 - lightrag - INFO - get_edge:query: - MATCH (start:`CHRISTMAS HOLIDAYS`)-[r]->(end:`SCROOGE`) - RETURN properties(r) as edge_properties - LIMIT 1 - :result:{'keywords': '"transformation, significance of time"', 'weight': 16.0, 'description': '"Christmas Holidays are integral to Scrooge\'s journey, representing the time of year that prompts his change and reinstates joy."', 'source_id': 'chunk-e7637ff18c5ded77a68cce0a87883fad'} -2024-10-30 06:51:47,845 - lightrag - INFO - get_edge:query: - MATCH (start:`JACOB`)-[r]->(end:`SCROOGE`) - RETURN properties(r) as edge_properties - LIMIT 1 - :result:{'keywords': '"past reflections, moral lesson""reflection, past relationship"', 'weight': 16.0, 'description': '"Scrooge reflects on his past relationship with Jacob, influenced by feelings of guilt and loss after Jacob\'s death.""Scrooge reflects on his relationship with Jacob, understanding the past implications of his death for his own future."', 'source_id': 'chunk-f1a4fbcf1ed86864b9bfd5e8dba4c683'} -2024-10-30 06:51:47,941 - lightrag - INFO - get_edge:query: - MATCH (start:`ALI BABA`)-[r]->(end:`ROBIN CRUSOE`) - RETURN properties(r) as edge_properties - LIMIT 1 - :result:{'keywords': '"literary connection, childhood memories"', 'weight': 14.0, 'description': '"Both Ali Baba and Robin Crusoe represent figures from stories that shaped Scrooge\'s childhood memories and sentiments towards Christmas."', 'source_id': 'chunk-8590d9263cd2cd4fa583c432fc54e6c3'} -2024-10-30 06:51:48,037 - lightrag - INFO - get_edge:query: - MATCH (start:`CITY`)-[r]->(end:`SPIRIT`) - RETURN properties(r) as edge_properties - LIMIT 1 - :result:{'keywords': '"atmospheric change, reality"', 'weight': 12.0, 'description': '"The Spirit’s presence affects the atmosphere of the City, showcasing the stark realities of life and death surrounding Scrooge."', 'source_id': 'chunk-02baee20cc9463dbe08170a8e1043e32'} -2024-10-30 06:51:48,131 - lightrag - INFO - get_edge:query: - MATCH (start:`CAROLINE`)-[r]->(end:`HOPE`) - RETURN properties(r) as edge_properties - LIMIT 1 - :result:{'keywords': '"emotional resilience, motivation"', 'weight': 16.0, 'description': '"Hope influences Caroline\'s reactions and actions throughout the story, serving as both a motivator and a source of inner conflict."', 'source_id': 'chunk-83ac129dc9b56f84c46760d153d68e93'} -2024-10-30 06:51:48,223 - lightrag - INFO - get_edge:query: - MATCH (start:`CHILD`)-[r]->(end:`THE SPIRIT`) - RETURN properties(r) as edge_properties - LIMIT 1 - :result:{'keywords': '"remembrance, neglect"', 'weight': 16.0, 'description': '"The Spirit points Scrooge to the Child, emphasizing themes of neglect, remembrance, and the importance of past experiences."', 'source_id': 'chunk-8590d9263cd2cd4fa583c432fc54e6c3'} -2024-10-30 06:51:48,325 - lightrag - INFO - get_edge:query: - MATCH (start:`GRAVE`)-[r]->(end:`SCROOGE`) - RETURN properties(r) as edge_properties - LIMIT 1 - :result:{'keywords': '"mortality, reflection"', 'weight': 20.0, 'description': '"Scrooge is confronted with his own grave, symbolizing the ultimate outcome of his current lifestyle and actions."', 'source_id': 'chunk-91572b3cd42786ba4cb2f180ca25cbf4'} -2024-10-30 06:51:48,422 - lightrag - INFO - get_edge:query: - MATCH (start:`CHURCH`)-[r]->(end:`SCROOGE`) - RETURN properties(r) as edge_properties - LIMIT 1 - :result:{'keywords': '"community, contrast"', 'weight': 16.0, 'description': '"The church symbolizes the community and settings of Scrooge\'s past, highlighting the contrast between then and now."', 'source_id': 'chunk-bb21d58d36c6306fd8810ddd51c4a971'} -2024-10-30 06:51:48,514 - lightrag - INFO - get_edge:query: - MATCH (start:`SCROOGE`)-[r]->(end:`THE DECEASED MAN`) - RETURN properties(r) as edge_properties - LIMIT 1 - :result:{'keywords': '"moral reflection, consequence"', 'weight': 18.0, 'description': '"Scrooge reflects on the life and death of The Deceased Man, prompting introspection about his own life choices."', 'source_id': 'chunk-e1f29eeadc1d8ab46dc8a0bbd3c56b64'} -2024-10-30 06:51:48,608 - lightrag - INFO - get_edge:query: - MATCH (start:`MARTHA CRATCHIT`)-[r]->(end:`THE COUNTESS`) - RETURN properties(r) as edge_properties - LIMIT 1 - :result:{'keywords': '"social aspirations, class contrast"', 'weight': 10.0, 'description': '"Martha’s mention of having seen the Countess represents her connection to higher social circles and dreams beyond her current situation."', 'source_id': 'chunk-19d72c57ae3408758b18d2568e86dc6b'} -2024-10-30 06:51:48,702 - lightrag - INFO - get_edge:query: - MATCH (start:`BOB CRATCHIT`)-[r]->(end:`TINY TIM`) - RETURN properties(r) as edge_properties - LIMIT 1 - :result:{'keywords': '"family bond, care""family bond, father-son relationship""family bond, love""family love, vulnerability""family, care""family, caregiving""family, love struggles""family, struggle""family, support""father-son bond, care""father-son relationship, care""parental love, sorrow""parenting, hope"', 'weight': 119.0, 'description': '"Bob Cratchit deeply cares for Tiny Tim, demonstrating emotional support and love, especially in moments of distress.""Bob Cratchit expresses love and concern for his son Tiny Tim during the Christmas dinner, highlighting a strong familial bond.""Bob Cratchit is Tiny Tim\'s father, and the turkey Scrooge plans to send will impact Tiny Tim\'s well-being.""Bob Cratchit is Tiny Tim\'s father, and their relationship highlights the theme of family struggle and love, especially during Christmas.""Bob Cratchit shows deep care for Tiny Tim, helping him and expressing pride in his strength and character despite challenges.""Bob Cratchit\'s concern for Tiny Tim illustrates the deep familial love and the challenges facing the Cratchit family.""Bob Cratchit is a father figure to Tiny Tim, who carries both hope and concern for his child\'s future health and well-being.""Bob Cratchit is the father of Tiny Tim, showcasing familial love and challenges faced by the Cratchit family.""Bob Cratchit is the father of Tiny Tim, showing the importance of family dynamics and care in their lives.""Bob Cratchit shows affection for Tiny Tim, often expressing concern for his health and trying to keep him close during the Christmas celebration.""Bob Cratchit shows deep care for Tiny Tim, supporting him and expressing pride in his resilience, especially regarding Tiny Tim\'s reflective thoughts on Christmas.""Bob Cratchit shows deep concern and love for his son, Tiny Tim, highlighting the family dynamics and attachment in their household.""Bob Cratchit shows deep love and sorrow for Tiny Tim, reflecting a father\'s bond with his child.""Bob is the father of Tiny Tim, who requires support and care, emphasizing themes of family and responsibility."', 'source_id': 'chunk-90b95db5c53e4364a6bee36b7aa4d70fchunk-503f0bfa5453467c7c61d160a3540ecachunk-91572b3cd42786ba4cb2f180ca25cbf4chunk-9e3921da66da5d761ab73cd849af6c43chunk-94bea83e7153fc2064aa382b494936a1chunk-83ac129dc9b56f84c46760d153d68e93chunk-7e2e7ebcc19a53b399dc03aded4743e7chunk-1d4b58de5429cd1261370c231c8673e8'} -2024-10-30 06:51:48,799 - lightrag - INFO - get_edge:query: - MATCH (start:`SCROOGE`)-[r]->(end:`THE WINDOW`) - RETURN properties(r) as edge_properties - LIMIT 1 - :result:{'keywords': '"curiosity, fear"', 'weight': 10.0, 'description': '"Scrooge approaches The Window, which acts as a portal to the outside world and the supernatural, illustrating his curiosity and fear."', 'source_id': 'chunk-cb661c37436355ccec2769b1d0350c5f'} -2024-10-30 06:51:48,892 - lightrag - INFO - get_edge:query: - MATCH (start:`SCROOGE`)-[r]->(end:`THE GHOST OF CHRISTMAS YET TO COME`) - RETURN properties(r) as edge_properties - LIMIT 1 - :result:{'keywords': '"consequence, introspection""consequences, change""consequences, fear""guidance, self-confrontation"', 'weight': 39.0, 'description': '"The Ghost guides Scrooge to confront his potential future that threatens his existence.""The Ghost is critical in revealing the consequences of Scrooge\'s life choices, pushing for change.""The Ghost of Christmas Yet to Come presents Scrooge with a vision of his possible future, instilling fear and prompting change.""The Ghost of Christmas Yet to Come shows Scrooge the consequences of his life choices, prompting introspection and desire for change."', 'source_id': 'chunk-91572b3cd42786ba4cb2f180ca25cbf4chunk-90b95db5c53e4364a6bee36b7aa4d70f'} -2024-10-30 06:51:48,988 - lightrag - INFO - get_edge:query: - MATCH (start:`MANSION`)-[r]->(end:`THE GHOST`) - RETURN properties(r) as edge_properties - LIMIT 1 - :result:{'keywords': '"guidance, contrast"', 'weight': 18.0, 'description': '"The Ghost guides Scrooge through the Mansion, illustrating the contrast between past warmth and present decay."', 'source_id': 'chunk-8590d9263cd2cd4fa583c432fc54e6c3'} -2024-10-30 06:51:49,080 - lightrag - INFO - get_edge:query: - MATCH (start:`SCROOGE`)-[r]->(end:`THE FOG AND FROST`) - RETURN properties(r) as edge_properties - LIMIT 1 - :result:{'keywords': '"atmosphere, emotional coldness"', 'weight': 14.0, 'description': '"The Fog and Frost enveloping Scrooge\'s home reflect the chilling atmosphere of his life and his emotional coldness."', 'source_id': 'chunk-d9aac3484185ac66045df92214d245d5'} -2024-10-30 06:51:49,175 - lightrag - INFO - get_edge:query: - MATCH (start:`FEZZIWIG`)-[r]->(end:`SCROOGE`) - RETURN properties(r) as edge_properties - LIMIT 1 - :result:{'keywords': '"contrast, character foil""kindness, mentorship""mentor figure, positive influence""nostalgia, contrast""reflection, influence"', 'weight': 43.0, 'description': '"Fezziwig is a significant figure in Scrooge\'s past, illustrating a contrast between Scrooge\'s current miserly demeanor and Fezziwig\'s jovial nature.""Fezziwig represents the joyful side of business and celebration, contrasting with Scrooge\'s miserly nature and serving as a foil to Scrooge\'s character development.""Scrooge reflects positively on Fezziwig\'s past actions, acknowledging the happiness and gratitude he inspired in people.""Scrooge reminisces about Fezziwig\'s kindness during his apprenticeship, comparing his past self to his current state.""Scrooge reminisces about Fezziwig\'s ball, reflecting on the contrast between his past happiness and present isolation."', 'source_id': 'chunk-b2f98bc7abb0c67d4c86055c7fd72218chunk-c6c248858d1b13ab7ee9ca13c1aeed6bchunk-89777b838d5447c7bd1ec11282c4ee89'} -2024-10-30 06:51:49,275 - lightrag - INFO - get_edge:query: - MATCH (start:`CHRISTMAS EVES`)-[r]->(end:`SCROOGE`) - RETURN properties(r) as edge_properties - LIMIT 1 - :result:{'keywords': '"time of reflection, redemption"', 'weight': 14.0, 'description': '"Christmas Eves symbolize a critical time for self-reflection and understanding one\'s past decisions, linking to Scrooge\'s journey of redemption."', 'source_id': 'chunk-359187e7571bda4b0b08b2e0b6581e52'} -2024-10-30 06:51:49,369 - lightrag - INFO - get_edge:query: - MATCH (start:`THE CRATCHIT HOUSE`)-[r]->(end:`THE DEBT`) - RETURN properties(r) as edge_properties - LIMIT 1 - :result:{'keywords': '"financial burden, atmosphere"', 'weight': 18.0, 'description': '"The Debt looms over The Cratchit House, contributing to the emotional atmosphere and fears of its inhabitants during the story."', 'source_id': 'chunk-83ac129dc9b56f84c46760d153d68e93'} -2024-10-30 06:51:49,464 - lightrag - INFO - get_edge:query: - MATCH (start:`SPIRIT`)-[r]->(end:`THE EVENT OF DEATH`) - RETURN properties(r) as edge_properties - LIMIT 1 - :result:{'keywords': '"emotional impact, mortality"', 'weight': 16.0, 'description': '"The Spirit highlights the emotional repercussions of The Event of Death, demonstrating the profound effects on those left behind."', 'source_id': 'chunk-83ac129dc9b56f84c46760d153d68e93'} -2024-10-30 06:51:49,558 - lightrag - INFO - get_edge:query: - MATCH (start:`THE LIGHTHOUSE`)-[r]->(end:`THE WAVE`) - RETURN properties(r) as edge_properties - LIMIT 1 - :result:{'keywords': '"struggle, isolation"', 'weight': 14.0, 'description': '"The Wave\'s constant battering of the Lighthouse highlights the isolation and challenges faced by those in such remote environments."', 'source_id': 'chunk-91614df5cb74cbe5e109a338a82041e9'} -2024-10-30 06:51:49,656 - lightrag - INFO - get_edge:query: - MATCH (start:`SCROOGE`)-[r]->(end:`THE DARKNESS`) - RETURN properties(r) as edge_properties - LIMIT 1 - :result:{'keywords': '"internal struggle, unknown"', 'weight': 12.0, 'description': '"Scrooge finds himself enveloped by The Darkness, representing his internal struggle and the unknown future he faces."', 'source_id': 'chunk-cb661c37436355ccec2769b1d0350c5f'} -2024-10-30 06:51:49,749 - lightrag - INFO - get_edge:query: - MATCH (start:`SCROOGE`)-[r]->(end:`THE BEAUTIFUL YOUNG GIRL`) - RETURN properties(r) as edge_properties - LIMIT 1 - :result:{'keywords': '"nostalgia, lost love"', 'weight': 16.0, 'description': '"Scrooge reflects on his past relationship with the young girl, which holds significance in understanding his character\'s regrets."', 'source_id': 'chunk-54bdd22db1f84a965b5f4c06c9216d8d'} -2024-10-30 06:51:49,843 - lightrag - INFO - get_edge:query: - MATCH (start:`BOB CRATCHIT`)-[r]->(end:`THE COUNTING-HOUSE CLERK`) - RETURN properties(r) as edge_properties - LIMIT 1 - :result:{'keywords': '"workforce dynamics, character contrast"', 'weight': 12.0, 'description': '"Bob Cratchit and The Counting-House Clerk represent the working class under Scrooge\'s employment, showcasing different character traits in the context of their work."', 'source_id': 'chunk-d9aac3484185ac66045df92214d245d5'} -2024-10-30 06:51:49,938 - lightrag - INFO - get_edge:query: - MATCH (start:`MARKET-TOWN`)-[r]->(end:`SCROOGE`) - RETURN properties(r) as edge_properties - LIMIT 1 - :result:{'keywords': '"memory, childhood""nostalgia, memory"', 'weight': 15.0, 'description': '"Scrooge encounters the market-town in his memories, triggering feelings of recognition and emotional reflection.""Scrooge recognizes the Market-Town, eliciting fond memories from his childhood and emphasizing his emotional response to the past."', 'source_id': 'chunk-bb21d58d36c6306fd8810ddd51c4a971'} -2024-10-30 06:51:50,034 - lightrag - INFO - get_edge:query: - MATCH (start:`SCROOGE`)-[r]->(end:`THE PHANTOM`) - RETURN properties(r) as edge_properties - LIMIT 1 - :result:{'keywords': '"guidance, reflection""guidance, self-reflection"', 'weight': 17.0, 'description': '"Scrooge interacts with the Phantom, which guides him through reflections on his life and future, emphasizing his journey of change.""The Phantom interacts with Scrooge, pointing him towards the importance of reflections on mortality and social connections."', 'source_id': 'chunk-f1a4fbcf1ed86864b9bfd5e8dba4c683'} -2024-10-30 06:51:50,128 - lightrag - INFO - get_edge:query: - MATCH (start:`COLD WEATHER`)-[r]->(end:`SCROOGE`) - RETURN properties(r) as edge_properties - LIMIT 1 - :result:{'keywords': '"atmosphere, personality mirror"', 'weight': 18.0, 'description': '"The cold weather reflects Scrooge\'s icy demeanor, emphasizing his negative attitude towards life and others."', 'source_id': 'chunk-74e2466de2f67fd710ef2f20c0a8d9e0'} -2024-10-30 06:51:50,219 - lightrag - INFO - get_edge:query: - MATCH (start:`FELLOW-BEINGS`)-[r]->(end:`SCROOGE`) - RETURN properties(r) as edge_properties - LIMIT 1 - :result:{'keywords': '"neglect, realization"', 'weight': 16.0, 'description': '"Scrooge is confronted with his past choices to ignore Fellow-beings, leading to a realization of his moral failures."', 'source_id': 'chunk-359187e7571bda4b0b08b2e0b6581e52'} -2024-10-30 06:51:50,317 - lightrag - INFO - edge_degree:query:MATCH (n1:`CHRISTMAS`)-[r]-(n2:`SCROOGE`) - RETURN count(r) AS degree:result:1 -2024-10-30 06:51:50,409 - lightrag - INFO - edge_degree:query:MATCH (n1:`THE CANDLE`)-[r]-(n2:`THE FOG AND FROST`) - RETURN count(r) AS degree:result:1 -2024-10-30 06:51:50,499 - lightrag - INFO - edge_degree:query:MATCH (n1:`SCROOGE`)-[r]-(n2:`THE GHOST`) - RETURN count(r) AS degree:result:1 -2024-10-30 06:51:50,593 - lightrag - INFO - edge_degree:query:MATCH (n1:`MARLEY`)-[r]-(n2:`SCROOGE`) - RETURN count(r) AS degree:result:1 -2024-10-30 06:51:50,686 - lightrag - INFO - edge_degree:query:MATCH (n1:`MANSION`)-[r]-(n2:`SCROOGE`) - RETURN count(r) AS degree:result:1 -2024-10-30 06:51:50,780 - lightrag - INFO - edge_degree:query:MATCH (n1:`GHOST`)-[r]-(n2:`SCROOGE`) - RETURN count(r) AS degree:result:1 -2024-10-30 06:51:50,873 - lightrag - INFO - edge_degree:query:MATCH (n1:`SCROOGE`)-[r]-(n2:`THE MEMORY`) - RETURN count(r) AS degree:result:1 -2024-10-30 06:51:50,968 - lightrag - INFO - edge_degree:query:MATCH (n1:`SCROOGE`)-[r]-(n2:`THE GHOST OF CHRISTMAS PAST`) - RETURN count(r) AS degree:result:1 -2024-10-30 06:51:51,062 - lightrag - INFO - edge_degree:query:MATCH (n1:`JACOB MARLEY`)-[r]-(n2:`SCROOGE`) - RETURN count(r) AS degree:result:1 -2024-10-30 06:51:51,156 - lightrag - INFO - edge_degree:query:MATCH (n1:`THE CRATCHIT HOUSEHOLD`)-[r]-(n2:`THE SUBURBS`) - RETURN count(r) AS degree:result:1 -2024-10-30 06:51:51,247 - lightrag - INFO - edge_degree:query:MATCH (n1:`CHRISTMAS`)-[r]-(n2:`THE SPIRIT`) - RETURN count(r) AS degree:result:1 -2024-10-30 06:51:51,335 - lightrag - INFO - edge_degree:query:MATCH (n1:`JOE`)-[r]-(n2:`THE WOMAN`) - RETURN count(r) AS degree:result:1 -2024-10-30 06:51:51,428 - lightrag - INFO - edge_degree:query:MATCH (n1:`SCROOGE`)-[r]-(n2:`SCROOGE'S NIECE`) - RETURN count(r) AS degree:result:1 -2024-10-30 06:51:51,523 - lightrag - INFO - edge_degree:query:MATCH (n1:`SCROOGE`)-[r]-(n2:`THE CITY`) - RETURN count(r) AS degree:result:1 -2024-10-30 06:51:51,617 - lightrag - INFO - edge_degree:query:MATCH (n1:`GHOST`)-[r]-(n2:`SPECTRE`) - RETURN count(r) AS degree:result:1 -2024-10-30 06:51:51,710 - lightrag - INFO - edge_degree:query:MATCH (n1:`SCROOGE`)-[r]-(n2:`SPIRIT`) - RETURN count(r) AS degree:result:1 -2024-10-30 06:51:51,808 - lightrag - INFO - edge_degree:query:MATCH (n1:`MARLEY'S FUNERAL`)-[r]-(n2:`SCROOGE`) - RETURN count(r) AS degree:result:1 -2024-10-30 06:51:51,902 - lightrag - INFO - edge_degree:query:MATCH (n1:`IGNORANCE`)-[r]-(n2:`SPIRIT`) - RETURN count(r) AS degree:result:1 -2024-10-30 06:51:51,998 - lightrag - INFO - edge_degree:query:MATCH (n1:`SCROOGE`)-[r]-(n2:`THE SPIRIT`) - RETURN count(r) AS degree:result:1 -2024-10-30 06:51:52,092 - lightrag - INFO - edge_degree:query:MATCH (n1:`CLOCK`)-[r]-(n2:`SCROOGE`) - RETURN count(r) AS degree:result:1 -2024-10-30 06:51:52,184 - lightrag - INFO - edge_degree:query:MATCH (n1:`SCROOGE`)-[r]-(n2:`THE GRATE`) - RETURN count(r) AS degree:result:1 -2024-10-30 06:51:52,278 - lightrag - INFO - edge_degree:query:MATCH (n1:`JOE`)-[r]-(n2:`SCROOGE`) - RETURN count(r) AS degree:result:1 -2024-10-30 06:51:52,368 - lightrag - INFO - edge_degree:query:MATCH (n1:`SCROOGE`)-[r]-(n2:`THE COUNTING-HOUSE`) - RETURN count(r) AS degree:result:1 -2024-10-30 06:51:52,462 - lightrag - INFO - edge_degree:query:MATCH (n1:`SCROOGE`)-[r]-(n2:`THE HOUSE`) - RETURN count(r) AS degree:result:1 -2024-10-30 06:51:52,553 - lightrag - INFO - edge_degree:query:MATCH (n1:`SPIRIT`)-[r]-(n2:`WANT`) - RETURN count(r) AS degree:result:1 -2024-10-30 06:51:52,643 - lightrag - INFO - edge_degree:query:MATCH (n1:`SCROOGE`)-[r]-(n2:`TIM`) - RETURN count(r) AS degree:result:1 -2024-10-30 06:51:52,736 - lightrag - INFO - edge_degree:query:MATCH (n1:`FOG`)-[r]-(n2:`SCROOGE`) - RETURN count(r) AS degree:result:1 -2024-10-30 06:51:52,828 - lightrag - INFO - edge_degree:query:MATCH (n1:`SCROOGE`)-[r]-(n2:`THE CORPSE`) - RETURN count(r) AS degree:result:1 -2024-10-30 06:51:52,923 - lightrag - INFO - edge_degree:query:MATCH (n1:`SCROOGE`)-[r]-(n2:`TINY TIM`) - RETURN count(r) AS degree:result:1 -2024-10-30 06:51:53,014 - lightrag - INFO - edge_degree:query:MATCH (n1:`CHILD`)-[r]-(n2:`SCROOGE`) - RETURN count(r) AS degree:result:1 -2024-10-30 06:51:53,104 - lightrag - INFO - edge_degree:query:MATCH (n1:`GHOST OF CHRISTMAS PAST`)-[r]-(n2:`SCROOGE`) - RETURN count(r) AS degree:result:1 -2024-10-30 06:51:53,198 - lightrag - INFO - edge_degree:query:MATCH (n1:`CHRISTMAS EVE`)-[r]-(n2:`SCROOGE`) - RETURN count(r) AS degree:result:1 -2024-10-30 06:51:53,289 - lightrag - INFO - edge_degree:query:MATCH (n1:`MARLEY'S GHOST`)-[r]-(n2:`SCROOGE`) - RETURN count(r) AS degree:result:1 -2024-10-30 06:51:53,379 - lightrag - INFO - edge_degree:query:MATCH (n1:`CHRISTMAS HOLIDAYS`)-[r]-(n2:`SCROOGE`) - RETURN count(r) AS degree:result:1 -2024-10-30 06:51:53,473 - lightrag - INFO - edge_degree:query:MATCH (n1:`JACOB`)-[r]-(n2:`SCROOGE`) - RETURN count(r) AS degree:result:1 -2024-10-30 06:51:53,565 - lightrag - INFO - edge_degree:query:MATCH (n1:`ALI BABA`)-[r]-(n2:`ROBIN CRUSOE`) - RETURN count(r) AS degree:result:1 -2024-10-30 06:51:53,657 - lightrag - INFO - edge_degree:query:MATCH (n1:`CITY`)-[r]-(n2:`SPIRIT`) - RETURN count(r) AS degree:result:1 -2024-10-30 06:51:53,750 - lightrag - INFO - edge_degree:query:MATCH (n1:`CAROLINE`)-[r]-(n2:`HOPE`) - RETURN count(r) AS degree:result:1 -2024-10-30 06:51:53,840 - lightrag - INFO - edge_degree:query:MATCH (n1:`CHILD`)-[r]-(n2:`THE SPIRIT`) - RETURN count(r) AS degree:result:1 -2024-10-30 06:51:53,937 - lightrag - INFO - edge_degree:query:MATCH (n1:`GRAVE`)-[r]-(n2:`SCROOGE`) - RETURN count(r) AS degree:result:1 -2024-10-30 06:51:54,028 - lightrag - INFO - edge_degree:query:MATCH (n1:`CHURCH`)-[r]-(n2:`SCROOGE`) - RETURN count(r) AS degree:result:1 -2024-10-30 06:51:54,119 - lightrag - INFO - edge_degree:query:MATCH (n1:`SCROOGE`)-[r]-(n2:`THE DECEASED MAN`) - RETURN count(r) AS degree:result:1 -2024-10-30 06:51:54,212 - lightrag - INFO - edge_degree:query:MATCH (n1:`MARTHA CRATCHIT`)-[r]-(n2:`THE COUNTESS`) - RETURN count(r) AS degree:result:1 -2024-10-30 06:51:54,307 - lightrag - INFO - edge_degree:query:MATCH (n1:`BOB CRATCHIT`)-[r]-(n2:`TINY TIM`) - RETURN count(r) AS degree:result:1 -2024-10-30 06:51:54,400 - lightrag - INFO - edge_degree:query:MATCH (n1:`SCROOGE`)-[r]-(n2:`THE WINDOW`) - RETURN count(r) AS degree:result:1 -2024-10-30 06:51:54,494 - lightrag - INFO - edge_degree:query:MATCH (n1:`SCROOGE`)-[r]-(n2:`THE GHOST OF CHRISTMAS YET TO COME`) - RETURN count(r) AS degree:result:1 -2024-10-30 06:51:54,588 - lightrag - INFO - edge_degree:query:MATCH (n1:`MANSION`)-[r]-(n2:`THE GHOST`) - RETURN count(r) AS degree:result:1 -2024-10-30 06:51:54,684 - lightrag - INFO - edge_degree:query:MATCH (n1:`SCROOGE`)-[r]-(n2:`THE FOG AND FROST`) - RETURN count(r) AS degree:result:1 -2024-10-30 06:51:54,778 - lightrag - INFO - edge_degree:query:MATCH (n1:`FEZZIWIG`)-[r]-(n2:`SCROOGE`) - RETURN count(r) AS degree:result:1 -2024-10-30 06:51:54,872 - lightrag - INFO - edge_degree:query:MATCH (n1:`CHRISTMAS EVES`)-[r]-(n2:`SCROOGE`) - RETURN count(r) AS degree:result:1 -2024-10-30 06:51:54,967 - lightrag - INFO - edge_degree:query:MATCH (n1:`THE CRATCHIT HOUSE`)-[r]-(n2:`THE DEBT`) - RETURN count(r) AS degree:result:1 -2024-10-30 06:51:55,060 - lightrag - INFO - edge_degree:query:MATCH (n1:`SPIRIT`)-[r]-(n2:`THE EVENT OF DEATH`) - RETURN count(r) AS degree:result:1 -2024-10-30 06:51:55,153 - lightrag - INFO - edge_degree:query:MATCH (n1:`THE LIGHTHOUSE`)-[r]-(n2:`THE WAVE`) - RETURN count(r) AS degree:result:1 -2024-10-30 06:51:55,255 - lightrag - INFO - edge_degree:query:MATCH (n1:`SCROOGE`)-[r]-(n2:`THE DARKNESS`) - RETURN count(r) AS degree:result:1 -2024-10-30 06:51:55,348 - lightrag - INFO - edge_degree:query:MATCH (n1:`SCROOGE`)-[r]-(n2:`THE BEAUTIFUL YOUNG GIRL`) - RETURN count(r) AS degree:result:1 -2024-10-30 06:51:55,445 - lightrag - INFO - edge_degree:query:MATCH (n1:`BOB CRATCHIT`)-[r]-(n2:`THE COUNTING-HOUSE CLERK`) - RETURN count(r) AS degree:result:1 -2024-10-30 06:51:55,544 - lightrag - INFO - edge_degree:query:MATCH (n1:`MARKET-TOWN`)-[r]-(n2:`SCROOGE`) - RETURN count(r) AS degree:result:1 -2024-10-30 06:51:55,638 - lightrag - INFO - edge_degree:query:MATCH (n1:`SCROOGE`)-[r]-(n2:`THE PHANTOM`) - RETURN count(r) AS degree:result:1 -2024-10-30 06:51:55,735 - lightrag - INFO - edge_degree:query:MATCH (n1:`COLD WEATHER`)-[r]-(n2:`SCROOGE`) - RETURN count(r) AS degree:result:1 -2024-10-30 06:51:55,830 - lightrag - INFO - edge_degree:query:MATCH (n1:`FELLOW-BEINGS`)-[r]-(n2:`SCROOGE`) - RETURN count(r) AS degree:result:1 -2024-10-30 06:51:55,928 - lightrag - INFO - get_node:query:MATCH (n:`FOG`) RETURN n:result:"Fog is a weather phenomenon that adds to the bleak atmosphere, reflecting the obscurity and confusion in Scrooge\'s life.""Fog represents the obscured visibility and confusion in Scrooge\'s surroundings, enhancing the atmosphere of uncertainty and apprehension.""Fog represents the obscurity and isolation in the environment, mirroring Scrooge’s emotional distance and isolation from society.""Fog represents the obscured visibility and confusion in Scrooge\'s surroundings, enhancing the atmosphere of uncertainty and apprehension.""Fog represents the obscurity and isolation in the environment, mirroring Scrooge’s emotional distance and isolation from society.""Fog represents the obscured visibility and confusion in Scrooge\'s surroundings, enhancing the atmosphere of uncertainty and apprehension.""Fog represents the obscurity and isolation in the environment, mirroring Scrooge’s emotional distance and isolation from society.""Fog represents the obscured visibility and confusion in Scrooge\'s surroundings, enhancing the atmosphere of uncertainty and apprehension.""Fog represents the obscurity and isolation in the environment, mirroring Scrooge’s emotional distance and isolation from society.""Fog represents the obscured visibility and confusion in Scrooge\'s surroundings, enhancing the atmosphere of uncertainty and apprehension.""Fog represents the obscurity and isolation in the environment, mirroring Scrooge’s emotional distance and isolation from society."', 'source_id': 'chunk-c7b10789a9cb0af6c553730b29bd9034chunk-d9aac3484185ac66045df92214d245d5chunk-74e2466de2f67fd710ef2f20c0a8d9e0'}> -2024-10-30 06:51:56,017 - lightrag - INFO - get_node:query:MATCH (n:`THE GHOST OF CHRISTMAS YET TO COME`) RETURN n:result:"The Ghost of Christmas Yet to Come is a spirit that shows Scrooge the consequences of his actions, pointing toward his eventual demise.""The Ghost of Christmas Yet to Come reveals the potential consequences of Scrooge\'s current life choices, emphasizing themes of mortality and legacy.""The Ghost of Christmas Yet to Come is a spirit that shows Scrooge the consequences of his actions, pointing toward his eventual demise.""The Ghost of Christmas Yet to Come reveals the potential consequences of Scrooge\'s current life choices, emphasizing themes of mortality and legacy.""The Ghost of Christmas Yet to Come is a spirit that shows Scrooge the consequences of his actions, pointing toward his eventual demise.""The Ghost of Christmas Yet to Come reveals the potential consequences of Scrooge\'s current life choices, emphasizing themes of mortality and legacy.""The Ghost of Christmas Yet to Come is a spirit that shows Scrooge the consequences of his actions, pointing toward his eventual demise.""The Ghost of Christmas Yet to Come reveals the potential consequences of Scrooge\'s current life choices, emphasizing themes of mortality and legacy.""The Ghost of Christmas Yet to Come is a spirit that shows Scrooge the consequences of his actions, pointing toward his eventual demise.""The Ghost of Christmas Yet to Come reveals the potential consequences of Scrooge\'s current life choices, emphasizing themes of mortality and legacy."', 'source_id': 'chunk-91572b3cd42786ba4cb2f180ca25cbf4chunk-90b95db5c53e4364a6bee36b7aa4d70f'}> -2024-10-30 06:51:56,102 - lightrag - INFO - get_node:query:MATCH (n:`WANT`) RETURN n:result:"Want is represented as the second child shown by the Spirit, symbolizing the dire social conditions and needs of the impoverished.""Want represents another societal failing, portrayed as a girl, symbolizing deprivation and yearning for basic needs.""Want is represented as the second child shown by the Spirit, symbolizing the dire social conditions and needs of the impoverished.""Want represents another societal failing, portrayed as a girl, symbolizing deprivation and yearning for basic needs.""Want is represented as the second child shown by the Spirit, symbolizing the dire social conditions and needs of the impoverished.""Want represents another societal failing, portrayed as a girl, symbolizing deprivation and yearning for basic needs.""Want is represented as the second child shown by the Spirit, symbolizing the dire social conditions and needs of the impoverished.""Want represents another societal failing, portrayed as a girl, symbolizing deprivation and yearning for basic needs.""Want is represented as the second child shown by the Spirit, symbolizing the dire social conditions and needs of the impoverished.""Want represents another societal failing, portrayed as a girl, symbolizing deprivation and yearning for basic needs."', 'source_id': 'chunk-02baee20cc9463dbe08170a8e1043e32chunk-e7637ff18c5ded77a68cce0a87883fad'}> -2024-10-30 06:51:56,189 - lightrag - INFO - get_node:query:MATCH (n:`CHILD`) RETURN n:result: -2024-10-30 06:51:56,274 - lightrag - INFO - get_node:query:MATCH (n:`THE PHANTOM`) RETURN n:result:"The Phantom represents a ghostly presence guiding Scrooge through reflections on his life and future decisions.""The Phantom represents a ghostly presence guiding Scrooge through reflections on his life and future decisions.""The Phantom represents a ghostly presence guiding Scrooge through reflections on his life and future decisions.""The Phantom represents a ghostly presence guiding Scrooge through reflections on his life and future decisions.""The Phantom represents the supernatural element in Scrooge\'s journey of self-reflection and moral awakening."', 'source_id': 'chunk-f1a4fbcf1ed86864b9bfd5e8dba4c683'}> -2024-10-30 06:51:56,358 - lightrag - INFO - get_node:query:MATCH (n:`BOB CRATCHIT`) RETURN n:result:chunk-90b95db5c53e4364a6bee36b7aa4d70fchunk-d9aac3484185ac66045df92214d245d5chunk-19d72c57ae3408758b18d2568e86dc6bchunk-503f0bfa5453467c7c61d160a3540ecachunk-91572b3cd42786ba4cb2f180ca25cbf4chunk-9e3921da66da5d761ab73cd849af6c43chunk-94bea83e7153fc2064aa382b494936a1chunk-83ac129dc9b56f84c46760d153d68e93chunk-7e2e7ebcc19a53b399dc03aded4743e7chunk-1d4b58de5429cd1261370c231c8673e8'}> -2024-10-30 06:51:56,444 - lightrag - INFO - get_node:query:MATCH (n:`SCROOGE`) RETURN n:result:chunk-b0f459f5af1c3a5e0b92cbe4ee48b77bchunk-e7637ff18c5ded77a68cce0a87883fadchunk-359187e7571bda4b0b08b2e0b6581e52chunk-e1f29eeadc1d8ab46dc8a0bbd3c56b64chunk-c6c248858d1b13ab7ee9ca13c1aeed6bchunk-cb661c37436355ccec2769b1d0350c5fchunk-f1a4fbcf1ed86864b9bfd5e8dba4c683chunk-99b0ec7f7e006561352b5d65e849611dchunk-843b5b2f944c7413d9ca876e2e2f151fchunk-90b95db5c53e4364a6bee36b7aa4d70fchunk-19d72c57ae3408758b18d2568e86dc6bchunk-02baee20cc9463dbe08170a8e1043e32chunk-503f0bfa5453467c7c61d160a3540ecachunk-91572b3cd42786ba4cb2f180ca25cbf4chunk-83ac129dc9b56f84c46760d153d68e93chunk-8f738cb25d60a7dab782162d9d0a25edchunk-94bea83e7153fc2064aa382b494936a1chunk-9c43dac2fcd5b578242d907ea6f8fc7bchunk-74e2466de2f67fd710ef2f20c0a8d9e0chunk-89777b838d5447c7bd1ec11282c4ee89chunk-d9aac3484185ac66045df92214d245d5chunk-90d5764e301321c087f5a8f78b73a145chunk-91614df5cb74cbe5e109a338a82041e9chunk-54bdd22db1f84a965b5f4c06c9216d8dchunk-773d0df1dd25c356f7b771d780583e09chunk-5dac41b3f9eeaf794f0147400b1718cdchunk-43c9bee23adfa77aa9dedd22401bba7dchunk-da2472b4ef2a535b62908f14d0fb0ca9chunk-1aa50206d02ed89418f65f97c6441d1cchunk-8590d9263cd2cd4fa583c432fc54e6c3chunk-b2f98bc7abb0c67d4c86055c7fd72218chunk-bb21d58d36c6306fd8810ddd51c4a971'}> -2024-10-30 06:51:56,529 - lightrag - INFO - get_node:query:MATCH (n:`THE GHOST OF CHRISTMAS PAST`) RETURN n:result:"The Ghost of Christmas Past is a supernatural entity that allows Scrooge to revisit and reflect on his previous life experiences.""The Ghost of Christmas Past is a supernatural entity that allows Scrooge to revisit and reflect on his previous life experiences.""The Ghost of Christmas Past is a supernatural entity that allows Scrooge to revisit and reflect on his previous life experiences.""The Ghost of Christmas Past is a supernatural entity that allows Scrooge to revisit and reflect on his previous life experiences.""The Ghost of Christmas Past is a supernatural entity that shows Scrooge moments from his past, eliciting reflection and emotion.""The Ghost of Christmas Past represents Scrooge\'s history and helps him confront his former self and decisions made in life.""The Ghost of Christmas Past represents Scrooge\'s history and helps him confront his former self and decisions made in life.""The Ghost of Christmas Past represents Scrooge\'s history and helps him confront his former self and decisions made in life.""The Ghost of Christmas Past represents Scrooge\'s history and helps him confront his former self and decisions made in life.""The Ghost of Christmas Past represents Scrooge\'s history and helps him confront his former self and decisions made in life."', 'source_id': 'chunk-b2f98bc7abb0c67d4c86055c7fd72218chunk-90b95db5c53e4364a6bee36b7aa4d70f'}> -2024-10-30 06:51:56,615 - lightrag - INFO - get_node:query:MATCH (n:`THE MEMORY`) RETURN n:result: -2024-10-30 06:51:56,702 - lightrag - INFO - get_node:query:MATCH (n:`COLD WEATHER`) RETURN n:result:"Cold Weather sets the bleak and unforgiving atmosphere, reflecting Scrooge’s own personality and state of mind.""Cold Weather sets the bleak and unforgiving atmosphere, reflecting Scrooge’s own personality and state of mind.""Cold Weather sets the bleak and unforgiving atmosphere, reflecting Scrooge’s own personality and state of mind.""Cold Weather sets the bleak and unforgiving atmosphere, reflecting Scrooge’s own personality and state of mind.""Cold Weather sets the bleak and unforgiving atmosphere, reflecting Scrooge’s own personality and state of mind."', 'source_id': 'chunk-f1a4fbcf1ed86864b9bfd5e8dba4c683chunk-74e2466de2f67fd710ef2f20c0a8d9e0'}> -2024-10-30 06:51:56,788 - lightrag - INFO - get_node:query:MATCH (n:`THE GHOST`) RETURN n:result:chunk-43c9bee23adfa77aa9dedd22401bba7dchunk-e7637ff18c5ded77a68cce0a87883fadchunk-359187e7571bda4b0b08b2e0b6581e52chunk-da2472b4ef2a535b62908f14d0fb0ca9chunk-c6c248858d1b13ab7ee9ca13c1aeed6bchunk-02baee20cc9463dbe08170a8e1043e32chunk-1aa50206d02ed89418f65f97c6441d1cchunk-cb661c37436355ccec2769b1d0350c5fchunk-54bdd22db1f84a965b5f4c06c9216d8dchunk-8590d9263cd2cd4fa583c432fc54e6c3chunk-83ac129dc9b56f84c46760d153d68e93chunk-9c43dac2fcd5b578242d907ea6f8fc7b'}> -2024-10-30 06:51:56,874 - lightrag - INFO - get_node:query:MATCH (n:`CHRISTMAS HOLIDAYS`) RETURN n:result:"Christmas Holidays signify a time for celebration, reflection, and reconciliation, playing a critical role in Scrooge\'s transformation.""Christmas Holidays signify a time for celebration, reflection, and reconciliation, playing a critical role in Scrooge\'s transformation.""Christmas Holidays signify a time for celebration, reflection, and reconciliation, playing a critical role in Scrooge\'s transformation.""Christmas Holidays signify a time for celebration, reflection, and reconciliation, playing a critical role in Scrooge\'s transformation.""The Christmas Holidays serve as a crucial backdrop for the narrative, representing themes of generosity, family, and redemption."', 'source_id': 'chunk-e7637ff18c5ded77a68cce0a87883fad'}> -2024-10-30 06:51:56,961 - lightrag - INFO - get_node:query:MATCH (n:`CHRISTMAS EVE`) RETURN n:result:"Christmas Eve is a significant time in the story, marked by celebrations and gatherings led by Fezziwig.""Christmas Eve is a significant time in the story, marked by celebrations and gatherings led by Fezziwig.""Christmas Eve is a significant time in the story, marked by celebrations and gatherings led by Fezziwig.""Christmas Eve is a significant time in the story, marked by celebrations and gatherings led by Fezziwig.""Christmas Eve is depicted as a significant time, bringing about joyful activities like sliding down snow hills, contrasting with Scrooge\'s dour demeanor.""Christmas Eve is the night before Christmas, serving as the backdrop for the lively celebrations and dances hosted by Fezziwig.""Christmas Eve is the specific time setting in the story, highlighting the contrast between the joy of the holiday and Scrooge\'s negativity.""Christmas Eve is the day prior to Christmas, a time that carries festive significance and anticipation in the narrative.""Christmas Eve is the day prior to Christmas, a time that carries festive significance and anticipation in the narrative.""Christmas Eve is the day prior to Christmas, a time that carries festive significance and anticipation in the narrative.""Christmas Eve is the day prior to Christmas, a time that carries festive significance and anticipation in the narrative.""Christmas Eve is the day prior to Christmas, a time that carries festive significance and anticipation in the narrative."', 'source_id': 'chunk-d9aac3484185ac66045df92214d245d5chunk-8bc1edd983869352d14cf0886a9175a7chunk-74e2466de2f67fd710ef2f20c0a8d9e0'}> -2024-10-30 06:51:57,048 - lightrag - INFO - get_node:query:MATCH (n:`THE CORPSE`) RETURN n:result: -2024-10-30 06:51:57,133 - lightrag - INFO - get_node:query:MATCH (n:`GHOST`) RETURN n:result:"The Ghost refers to the spirit guiding Scrooge, embodying the themes of memory and reflection on the joys of Christmas.""The Ghost represents a spiritual guide that takes Scrooge on a journey to learn important lessons about compassion and humanity.""The Ghost serves as a supernatural guide for Scrooge, prompting him to reflect on his life and choices.""The Ghost is the spirit of Jacob Marley, who expresses remorse for his life and warns Scrooge about the consequences of ignoring his moral duties.""The Ghost is the spirit of Jacob Marley, who expresses remorse for his life and warns Scrooge about the consequences of ignoring his moral duties.""The Ghost is the spirit of Jacob Marley, who expresses remorse for his life and warns Scrooge about the consequences of ignoring his moral duties.""The Ghost is the spirit of Jacob Marley, who expresses remorse for his life and warns Scrooge about the consequences of ignoring his moral duties.""The Ghost is the spirit of Jacob Marley, who expresses remorse for his life and warns Scrooge about the consequences of ignoring his moral duties."', 'source_id': 'chunk-43c9bee23adfa77aa9dedd22401bba7dchunk-e7637ff18c5ded77a68cce0a87883fadchunk-359187e7571bda4b0b08b2e0b6581e52chunk-c6c248858d1b13ab7ee9ca13c1aeed6bchunk-503f0bfa5453467c7c61d160a3540eca'}> -2024-10-30 06:51:57,220 - lightrag - INFO - get_node:query:MATCH (n:`JOE`) RETURN n:result:"Joe is a marine-store dealer depicted as receiving stolen goods, illustrating the consequences of crime and the darker sides of society.""Joe is portrayed as a character engaged in a conversation about the deceased, displaying a mix of humor and practicality in dealing with the possessions of the dead.""Joe is a character who interacts with others, demonstrating a sense of curiosity and disbelief regarding certain situations and comments.""Joe is a marine-store dealer and receiver of stolen goods, indicative of the darker, more unscrupulous elements of society.""Joe is an old character who engages in conversation about the deceased man\'s belongings, revealing his pragmatic and somewhat cynical perspective on life and death.""Joe is a character who interacts with others, demonstrating a sense of curiosity and disbelief regarding certain situations and comments.""Joe is a marine-store dealer and receiver of stolen goods, indicative of the darker, more unscrupulous elements of society.""Joe is an old character who engages in conversation about the deceased man\'s belongings, revealing his pragmatic and somewhat cynical perspective on life and death.""Joe is a character who interacts with others, demonstrating a sense of curiosity and disbelief regarding certain situations and comments.""Joe is a marine-store dealer and receiver of stolen goods, indicative of the darker, more unscrupulous elements of society.""Joe is an old character who engages in conversation about the deceased man\'s belongings, revealing his pragmatic and somewhat cynical perspective on life and death.""Joe is a character who interacts with others, demonstrating a sense of curiosity and disbelief regarding certain situations and comments.""Joe is a marine-store dealer and receiver of stolen goods, indicative of the darker, more unscrupulous elements of society.""Joe is an old character who engages in conversation about the deceased man\'s belongings, revealing his pragmatic and somewhat cynical perspective on life and death.""Joe is a character who interacts with others, demonstrating a sense of curiosity and disbelief regarding certain situations and comments.""Joe is a marine-store dealer and receiver of stolen goods, indicative of the darker, more unscrupulous elements of society.""Joe is an old character who engages in conversation about the deceased man\'s belongings, revealing his pragmatic and somewhat cynical perspective on life and death."', 'source_id': 'chunk-e1f29eeadc1d8ab46dc8a0bbd3c56b64chunk-9e3921da66da5d761ab73cd849af6c43chunk-89777b838d5447c7bd1ec11282c4ee89'}> -2024-10-30 06:51:57,307 - lightrag - INFO - get_node:query:MATCH (n:`MANSION`) RETURN n:result: -2024-10-30 06:51:57,392 - lightrag - INFO - get_node:query:MATCH (n:`THE COUNTING-HOUSE`) RETURN n:result:"The Counting-House is where Scrooge works and is characterized by its cold and unwelcoming environment.""The Counting-House is the place where Scrooge works, reflecting a business environment lacking warmth or joy.""The Counting-House is the place where Scrooge works, reflecting a business environment lacking warmth or joy.""The Counting-House is the place where Scrooge works, reflecting a business environment lacking warmth or joy.""The Counting-House is the place where Scrooge works, reflecting a business environment lacking warmth or joy.""The Counting-House is the place where Scrooge works, reflecting a business environment lacking warmth or joy."', 'source_id': 'chunk-d9aac3484185ac66045df92214d245d5chunk-74e2466de2f67fd710ef2f20c0a8d9e0'}> -2024-10-30 06:51:57,481 - lightrag - INFO - get_node:query:MATCH (n:`THE CITY`) RETURN n:result:"The City represents the bustling urban environment where Scrooge reflects on his past, filled with activity and shadowy figures.""The City, from which Scrooge is transported, represents his past life and is contrasted with the open country road that signifies his memories.""The City refers to the broader urban environment in which Scrooge operates and signifies the societal norms and attitudes towards Christmas.""The City represents the bustling urban environment where Scrooge\'s memories unfold, highlighting the contrast between his past and present.""The City refers to the broader urban environment in which Scrooge operates and signifies the societal norms and attitudes towards Christmas.""The City represents the bustling urban environment where Scrooge\'s memories unfold, highlighting the contrast between his past and present.""The City refers to the broader urban environment in which Scrooge operates and signifies the societal norms and attitudes towards Christmas.""The City represents the bustling urban environment where Scrooge\'s memories unfold, highlighting the contrast between his past and present.""The City refers to the broader urban environment in which Scrooge operates and signifies the societal norms and attitudes towards Christmas.""The City represents the bustling urban environment where Scrooge\'s memories unfold, highlighting the contrast between his past and present.""The City refers to the broader urban environment in which Scrooge operates and signifies the societal norms and attitudes towards Christmas.""The City represents the bustling urban environment where Scrooge\'s memories unfold, highlighting the contrast between his past and present."', 'source_id': 'chunk-74e2466de2f67fd710ef2f20c0a8d9e0chunk-c6c248858d1b13ab7ee9ca13c1aeed6bchunk-94bea83e7153fc2064aa382b494936a1chunk-bb21d58d36c6306fd8810ddd51c4a971'}> -2024-10-30 06:51:57,570 - lightrag - INFO - get_node:query:MATCH (n:`THE WOMAN`) RETURN n:result:chunk-60fc063c79fc0d4acc91a57e79de04dcchunk-89777b838d5447c7bd1ec11282c4ee89'}> -2024-10-30 06:51:57,655 - lightrag - INFO - get_node:query:MATCH (n:`MARLEY'S FUNERAL`) RETURN n:result: -2024-10-30 06:51:57,742 - lightrag - INFO - get_node:query:MATCH (n:`SPECTRE`) RETURN n:result: -2024-10-30 06:51:57,828 - lightrag - INFO - get_node:query:MATCH (n:`CHRISTMAS`) RETURN n:result:chunk-c6c248858d1b13ab7ee9ca13c1aeed6bchunk-99b0ec7f7e006561352b5d65e849611dchunk-02baee20cc9463dbe08170a8e1043e32chunk-503f0bfa5453467c7c61d160a3540ecachunk-91572b3cd42786ba4cb2f180ca25cbf4chunk-8f738cb25d60a7dab782162d9d0a25edchunk-94bea83e7153fc2064aa382b494936a1chunk-1d4b58de5429cd1261370c231c8673e8chunk-74e2466de2f67fd710ef2f20c0a8d9e0chunk-89777b838d5447c7bd1ec11282c4ee89chunk-90d5764e301321c087f5a8f78b73a145chunk-91614df5cb74cbe5e109a338a82041e9chunk-54bdd22db1f84a965b5f4c06c9216d8dchunk-773d0df1dd25c356f7b771d780583e09chunk-5dac41b3f9eeaf794f0147400b1718cdchunk-43c9bee23adfa77aa9dedd22401bba7dchunk-da2472b4ef2a535b62908f14d0fb0ca9chunk-8590d9263cd2cd4fa583c432fc54e6c3'}> -2024-10-30 06:51:57,915 - lightrag - INFO - get_node:query:MATCH (n:`GRAVE`) RETURN n:result: -2024-10-30 06:51:58,002 - lightrag - INFO - get_node:query:MATCH (n:`THE DECEASED MAN`) RETURN n:result: -2024-10-30 06:51:58,089 - lightrag - INFO - get_node:query:MATCH (n:`FEZZIWIG`) RETURN n:result:"Fezziwig is a character known for hosting a domestic ball that brings joy and merriment to the participants, showcasing his ability to create happiness.""Fezziwig is a joyful and lively character who dances with Mrs. Fezziwig, embodying the festive spirit of Christmas.""Fezziwig is presented as Scrooge\'s former employer, known for his jovial nature and generous spirit, who plays a significant role in Scrooge\'s memories.""Fezziwig is the owner of a business where festive celebrations take place, known for his jovial character and ability to create a lively atmosphere."Fezziwig is a character renowned for his role as a joyful and jovial employer who hosts domestic balls, creating an atmosphere filled with happiness and merriment for his participants. He is depicted as a kind-hearted figure who organizes lively Christmas festivities for his employees, exemplifying kindness and generosity. Fezziwig plays a significant role in the memories of Ebenezer Scrooge, being portrayed as his former employer who embodies the true spirit of Christmas.\n\nHe is often seen dancing with his wife, Mrs. Fezziwig, which further illustrates his cheerful nature and the festive spirit surrounding the celebrations. As the owner of a business where these vibrant festivities take place, Fezziwig is celebrated for his ability to create a lively and joyful environment, leaving a lasting impression on those who encounter him during the festive seasons. His portrayal encapsulates the essence of joy, generosity, and the festive spirit, making him a beloved character in the narrative of Scrooge\'s past."Fezziwig is a joyful and lively character who dances with Mrs. Fezziwig, embodying the festive spirit of Christmas.""Fezziwig is presented as Scrooge\'s former employer, known for his jovial nature and generous spirit, who plays a significant role in Scrooge\'s memories.""Fezziwig is the owner of a business where festive celebrations take place, known for his jovial character and ability to create a lively atmosphere."', 'source_id': 'chunk-b2f98bc7abb0c67d4c86055c7fd72218chunk-c6c248858d1b13ab7ee9ca13c1aeed6bchunk-8bc1edd983869352d14cf0886a9175a7chunk-89777b838d5447c7bd1ec11282c4ee89'}> -2024-10-30 06:51:58,174 - lightrag - INFO - get_node:query:MATCH (n:`THE DEBT`) RETURN n:result: -2024-10-30 06:51:58,264 - lightrag - INFO - get_node:query:MATCH (n:`GHOST OF CHRISTMAS PAST`) RETURN n:result:"The Ghost of Christmas Past is a supernatural entity that aids Scrooge in reflecting on his past experiences and emotions.""The Ghost of Christmas Past is one of the spirits in A Christmas Carol that shows Scrooge his past, prompting reflection and change.""The Ghost of Christmas Past represents a spirit that guides Scrooge to revisit and reflect on his past experiences and memories.""The Ghost of Christmas Past is one of the spirits in A Christmas Carol that shows Scrooge his past, prompting reflection and change.""The Ghost of Christmas Past represents a spirit that guides Scrooge to revisit and reflect on his past experiences and memories.""The Ghost of Christmas Past is one of the spirits in A Christmas Carol that shows Scrooge his past, prompting reflection and change.""The Ghost of Christmas Past represents a spirit that guides Scrooge to revisit and reflect on his past experiences and memories.""The Ghost of Christmas Past is one of the spirits in A Christmas Carol that shows Scrooge his past, prompting reflection and change.""The Ghost of Christmas Past represents a spirit that guides Scrooge to revisit and reflect on his past experiences and memories.""The Ghost of Christmas Past is one of the spirits in A Christmas Carol that shows Scrooge his past, prompting reflection and change.""The Ghost of Christmas Past represents a spirit that guides Scrooge to revisit and reflect on his past experiences and memories."', 'source_id': 'chunk-9e3921da66da5d761ab73cd849af6c43chunk-bb21d58d36c6306fd8810ddd51c4a971'}> -2024-10-30 06:51:58,355 - lightrag - INFO - get_node:query:MATCH (n:`IGNORANCE`) RETURN n:result:"Ignorance is personified as a boy that symbolizes the dangers of ignoring social issues and the consequences of a lack of awareness.""Ignorance personifies a societal failing, depicted as a child, warning of the dangers of neglect and moral responsibility.""Ignorance refers to one of the two children presented by the Spirit, symbolizing societal neglect and the consequences of lack of awareness.""Ignorance personifies a societal failing, depicted as a child, warning of the dangers of neglect and moral responsibility.""Ignorance refers to one of the two children presented by the Spirit, symbolizing societal neglect and the consequences of lack of awareness.""Ignorance personifies a societal failing, depicted as a child, warning of the dangers of neglect and moral responsibility.""Ignorance refers to one of the two children presented by the Spirit, symbolizing societal neglect and the consequences of lack of awareness.""Ignorance personifies a societal failing, depicted as a child, warning of the dangers of neglect and moral responsibility.""Ignorance refers to one of the two children presented by the Spirit, symbolizing societal neglect and the consequences of lack of awareness.""Ignorance personifies a societal failing, depicted as a child, warning of the dangers of neglect and moral responsibility.""Ignorance refers to one of the two children presented by the Spirit, symbolizing societal neglect and the consequences of lack of awareness."', 'source_id': 'chunk-02baee20cc9463dbe08170a8e1043e32chunk-e7637ff18c5ded77a68cce0a87883fad'}> -2024-10-30 06:51:58,441 - lightrag - INFO - get_node:query:MATCH (n:`MARLEY'S GHOST`) RETURN n:result:chunk-9c43dac2fcd5b578242d907ea6f8fc7bchunk-cb661c37436355ccec2769b1d0350c5fchunk-1aa50206d02ed89418f65f97c6441d1c'}> -2024-10-30 06:51:58,527 - lightrag - INFO - get_node:query:MATCH (n:`SCROOGE'S NIECE`) RETURN n:result:"Scrooge\'s Niece is a lively character who expresses indignation towards Scrooge\'s disdain for Christmas and embodies warmth and charm, showing affection and concern for family.""Scrooge\'s Niece is a lively character who expresses indignation towards Scrooge\'s disdain for Christmas and embodies warmth and charm, showing affection and concern for family.""Scrooge\'s Niece is a lively character who expresses indignation towards Scrooge\'s disdain for Christmas and embodies warmth and charm, showing affection and concern for family.""Scrooge\'s Niece is a lively character who expresses indignation towards Scrooge\'s disdain for Christmas and embodies warmth and charm, showing affection and concern for family.""Scrooge\'s Niece is depicted as a beautiful and lively character who expresses strong opinions about her uncle Scrooge.""Scrooge\'s niece is depicted as a joyful participant in the evening\'s festivities, engaging in games and music.""Scrooge\'s niece is a central figure in the family gathering, enjoying the festivities and games, showing a loving and vibrant personality.""Scrooge\'s niece is a central figure in the family gathering, enjoying the festivities and games, showing a loving and vibrant personality.""Scrooge\'s niece is a central figure in the family gathering, enjoying the festivities and games, showing a loving and vibrant personality.""Scrooge\'s niece is a central figure in the family gathering, enjoying the festivities and games, showing a loving and vibrant personality.""Scrooge\'s niece is a central figure in the family gathering, enjoying the festivities and games, showing a loving and vibrant personality."', 'source_id': 'chunk-773d0df1dd25c356f7b771d780583e09chunk-43c9bee23adfa77aa9dedd22401bba7d'}> -2024-10-30 06:51:58,614 - lightrag - INFO - get_node:query:MATCH (n:`TINY TIM`) RETURN n:result:chunk-19d72c57ae3408758b18d2568e86dc6bchunk-503f0bfa5453467c7c61d160a3540ecachunk-91572b3cd42786ba4cb2f180ca25cbf4chunk-9e3921da66da5d761ab73cd849af6c43chunk-8f738cb25d60a7dab782162d9d0a25edchunk-94bea83e7153fc2064aa382b494936a1chunk-83ac129dc9b56f84c46760d153d68e93chunk-7e2e7ebcc19a53b399dc03aded4743e7chunk-1d4b58de5429cd1261370c231c8673e8'}> -2024-10-30 06:51:58,700 - lightrag - INFO - get_node:query:MATCH (n:`TIM`) RETURN n:result: -2024-10-30 06:51:58,787 - lightrag - INFO - get_node:query:MATCH (n:`THE SPIRIT`) RETURN n:result:chunk-b0f459f5af1c3a5e0b92cbe4ee48b77bchunk-da2472b4ef2a535b62908f14d0fb0ca9chunk-e1f29eeadc1d8ab46dc8a0bbd3c56b64chunk-19d72c57ae3408758b18d2568e86dc6bchunk-503f0bfa5453467c7c61d160a3540ecachunk-91614df5cb74cbe5e109a338a82041e9chunk-91572b3cd42786ba4cb2f180ca25cbf4chunk-f1a4fbcf1ed86864b9bfd5e8dba4c683chunk-8590d9263cd2cd4fa583c432fc54e6c3chunk-b2f98bc7abb0c67d4c86055c7fd72218chunk-bb21d58d36c6306fd8810ddd51c4a971'}> -2024-10-30 06:51:58,874 - lightrag - INFO - get_node:query:MATCH (n:`JACOB MARLEY`) RETURN n:result:"Jacob Marley is Scrooge\'s deceased partner, who appears in spirit to influence Scrooge\'s journey towards redemption.""Jacob Marley is a spirit who influences Scrooge\'s change of heart, representing a connection to Scrooge\'s past and the theme of redemption.""Jacob Marley is the deceased business partner of Scrooge, whose ghost visits him to convey a message about the importance of charity and kindness.""Jacob Marley is the deceased partner of Scrooge who shows concern for Scrooge\'s fate and the importance of change in his life.""Jacob Marley is the ghost of Scrooge\'s former business partner, who foretells the consequences of Scrooge\'s selfishness and warns him to change his ways.""Jacob Marley is the ghost of Scrooge\'s former partner, who appears to warn Scrooge about his fate and the need for change in his life."Jacob Marley is Scrooge\'s deceased business partner, who appears as a ghost, prominently wearing chains that symbolize the burdens of his past misdeeds and the weight of his regrets. As a spirit, Marley plays a pivotal role in influencing Ebenezer Scrooge\'s journey toward redemption. He visits Scrooge to convey significant messages about the dire consequences of a life devoid of compassion and the critical importance of charity and kindness.\n\nMarley\'s haunting presence serves as a warning to Scrooge about his impending fate if he continues on his selfish and isolated path. He is depicted as showing genuine concern for Scrooge\'s welfare and the necessity for transformative change in his life. Through his visitation, Marley acts as a catalyst, compelling Scrooge to reflect on his past actions and their impact on others. His connection to Scrooge\'s history reinforces the themes of redemption and personal responsibility, emphasizing the potential for transformation and renewal in the face of prior wrongdoings. Ultimately, Jacob Marley\'s spirit not only acts as a reminder of the consequences of one\'s choices but also highlights the possibility of change and growth through self-awareness and connection to humanity.', 'source_id': 'chunk-90b95db5c53e4364a6bee36b7aa4d70fchunk-359187e7571bda4b0b08b2e0b6581e52chunk-da2472b4ef2a535b62908f14d0fb0ca9chunk-02baee20cc9463dbe08170a8e1043e32chunk-1aa50206d02ed89418f65f97c6441d1cchunk-91572b3cd42786ba4cb2f180ca25cbf4chunk-cb661c37436355ccec2769b1d0350c5f'}> -2024-10-30 06:51:58,961 - lightrag - INFO - get_node:query:MATCH (n:`THE CRATCHIT HOUSE`) RETURN n:result: -2024-10-30 06:51:59,047 - lightrag - INFO - get_node:query:MATCH (n:`SPIRIT`) RETURN n:result:"The Spirit represents a ghostly figure guiding Scrooge through reflections related to a death, illustrating lessons about life and mortality.""The Spirit represents a supernatural being guiding Scrooge through lessons about the consequences of his actions and the future.""The Spirit represents a supernatural entity guiding Scrooge and teaching him lessons about compassion and humanity."The "Spirit" represents a multifaceted supernatural entity that plays a crucial role in guiding Ebenezer Scrooge through profound reflections on his life, death, and human emotions. Central to the narrative is the Spirit\'s embodiment of the essence of Marley, which interacts with Scrooge to highlight themes related to the afterlife and unresolved issues. The Spirit manifests as various figures, most notably the Ghost of Christmas Present, who personifies the themes of generosity, merriment, and the true spirit of the Christmas season.\n\nThroughout Scrooge\'s journey, the Spirit serves as a guide, leading him through memories of his past, reflecting his former self and the influence of time on his character. The entity illustrates important lessons about compassion, social responsibility, and the consequences of his actions, urging Scrooge to confront societal issues and fostering self-awareness.\n\nThe Spirit also emphasizes the somber aspects of life, illustrating lessons about mortality and the inevitability of death, prompting Scrooge to reflect on the implications of his life choices. Overall, the Spirit encapsulates the intersection of compassion, humanity, and the moral lessons inherent in the experience of life, serving as a catalyst for Scrooge\'s transformation and awakening.', 'source_id': 'chunk-e7637ff18c5ded77a68cce0a87883fadchunk-02baee20cc9463dbe08170a8e1043e32chunk-1aa50206d02ed89418f65f97c6441d1cchunk-83ac129dc9b56f84c46760d153d68e93chunk-843b5b2f944c7413d9ca876e2e2f151fchunk-bb21d58d36c6306fd8810ddd51c4a971'}> -2024-10-30 06:51:59,133 - lightrag - INFO - get_node:query:MATCH (n:`MARLEY`) RETURN n:result:"Marley is Scrooge\'s deceased business partner whose presence looms over the story, symbolizing the consequences of a life similar to Scrooge\'s.""Marley is Scrooge\'s deceased business partner, whose death is a significant event that sets the tone for the story.""Marley is Scrooge\'s deceased business partner, whose death is mentioned as impactful, having passed seven years prior to the events in the text.""Marley is depicted as a ghost, having a pigtail, waistcoat, tights, and boots, and is central to Scrooge\'s haunting experience."Marley is Scrooge\'s deceased business partner, whose presence looms over the narrative of the story, symbolizing the dire consequences of a life lived without compassion and care for others. His death serves as a significant event that sets the tone for the plot and reflects the overarching themes of regret and the supernatural.\n\nMarley passed away seven years prior to the events depicted, making his spectral appearance even more impactful. Despite being a character who is only mentioned throughout much of the story, his influence on Scrooge is profound, as reflections and memories of Marley shape Scrooge\'s perspective on life and relationships. This ghostly figure is depicted distinctly with a pigtail, waistcoat, tights, and boots, making him central to Scrooge\'s haunting experience.\n\nOverall, Marley represents the weight of past actions and the importance of empathy, acting as a harbinger of transformation for Scrooge. His ghostly manifestation evokes both fear and introspection, ultimately contributing to the moral lessons embedded in the tale."Marley is Scrooge\'s deceased business partner, whose death is a significant event that sets the tone for the story.""Marley is Scrooge\'s deceased business partner, whose death is mentioned as impactful, having passed seven years prior to the events in the text.""Marley is depicted as a ghost, having a pigtail, waistcoat, tights, and boots, and is central to Scrooge\'s haunting experience."', 'source_id': 'chunk-5dac41b3f9eeaf794f0147400b1718cdchunk-89777b838d5447c7bd1ec11282c4ee89chunk-d9aac3484185ac66045df92214d245d5chunk-9c43dac2fcd5b578242d907ea6f8fc7bchunk-843b5b2f944c7413d9ca876e2e2f151f'}> -2024-10-30 06:51:59,267 - lightrag - INFO - _find_node_degree:query: - MATCH (n:`FOG`) - RETURN COUNT{ (n)--() } AS totalEdgeCount - :result:2 -2024-10-30 06:51:59,436 - lightrag - INFO - _find_node_degree:query: - MATCH (n:`THE GHOST OF CHRISTMAS YET TO COME`) - RETURN COUNT{ (n)--() } AS totalEdgeCount - :result:1 -2024-10-30 06:51:59,605 - lightrag - INFO - _find_node_degree:query: - MATCH (n:`WANT`) - RETURN COUNT{ (n)--() } AS totalEdgeCount - :result:2 -2024-10-30 06:51:59,775 - lightrag - INFO - _find_node_degree:query: - MATCH (n:`CHILD`) - RETURN COUNT{ (n)--() } AS totalEdgeCount - :result:2 -2024-10-30 06:51:59,952 - lightrag - INFO - _find_node_degree:query: - MATCH (n:`THE PHANTOM`) - RETURN COUNT{ (n)--() } AS totalEdgeCount - :result:2 -2024-10-30 06:52:00,125 - lightrag - INFO - _find_node_degree:query: - MATCH (n:`BOB CRATCHIT`) - RETURN COUNT{ (n)--() } AS totalEdgeCount - :result:21 -2024-10-30 06:52:00,302 - lightrag - INFO - _find_node_degree:query: - MATCH (n:`SCROOGE`) - RETURN COUNT{ (n)--() } AS totalEdgeCount - :result:151 -2024-10-30 06:52:00,473 - lightrag - INFO - _find_node_degree:query: - MATCH (n:`THE GHOST OF CHRISTMAS PAST`) - RETURN COUNT{ (n)--() } AS totalEdgeCount - :result:1 -2024-10-30 06:52:00,645 - lightrag - INFO - _find_node_degree:query: - MATCH (n:`THE MEMORY`) - RETURN COUNT{ (n)--() } AS totalEdgeCount - :result:1 -2024-10-30 06:52:00,812 - lightrag - INFO - _find_node_degree:query: - MATCH (n:`COLD WEATHER`) - RETURN COUNT{ (n)--() } AS totalEdgeCount - :result:1 -2024-10-30 06:52:00,985 - lightrag - INFO - _find_node_degree:query: - MATCH (n:`THE GHOST`) - RETURN COUNT{ (n)--() } AS totalEdgeCount - :result:6 -2024-10-30 06:52:01,156 - lightrag - INFO - _find_node_degree:query: - MATCH (n:`CHRISTMAS HOLIDAYS`) - RETURN COUNT{ (n)--() } AS totalEdgeCount - :result:1 -2024-10-30 06:52:01,328 - lightrag - INFO - _find_node_degree:query: - MATCH (n:`CHRISTMAS EVE`) - RETURN COUNT{ (n)--() } AS totalEdgeCount - :result:5 -2024-10-30 06:52:01,494 - lightrag - INFO - _find_node_degree:query: - MATCH (n:`THE CORPSE`) - RETURN COUNT{ (n)--() } AS totalEdgeCount - :result:2 -2024-10-30 06:52:01,663 - lightrag - INFO - _find_node_degree:query: - MATCH (n:`GHOST`) - RETURN COUNT{ (n)--() } AS totalEdgeCount - :result:8 -2024-10-30 06:52:01,832 - lightrag - INFO - _find_node_degree:query: - MATCH (n:`JOE`) - RETURN COUNT{ (n)--() } AS totalEdgeCount - :result:3 -2024-10-30 06:52:02,008 - lightrag - INFO - _find_node_degree:query: - MATCH (n:`MANSION`) - RETURN COUNT{ (n)--() } AS totalEdgeCount - :result:2 -2024-10-30 06:52:02,183 - lightrag - INFO - _find_node_degree:query: - MATCH (n:`THE COUNTING-HOUSE`) - RETURN COUNT{ (n)--() } AS totalEdgeCount - :result:2 -2024-10-30 06:52:02,352 - lightrag - INFO - _find_node_degree:query: - MATCH (n:`THE CITY`) - RETURN COUNT{ (n)--() } AS totalEdgeCount - :result:3 -2024-10-30 06:52:02,519 - lightrag - INFO - _find_node_degree:query: - MATCH (n:`THE WOMAN`) - RETURN COUNT{ (n)--() } AS totalEdgeCount - :result:6 -2024-10-30 06:52:02,684 - lightrag - INFO - _find_node_degree:query: - MATCH (n:`MARLEY'S FUNERAL`) - RETURN COUNT{ (n)--() } AS totalEdgeCount - :result:1 -2024-10-30 06:52:02,849 - lightrag - INFO - _find_node_degree:query: - MATCH (n:`SPECTRE`) - RETURN COUNT{ (n)--() } AS totalEdgeCount - :result:1 -2024-10-30 06:52:03,020 - lightrag - INFO - _find_node_degree:query: - MATCH (n:`CHRISTMAS`) - RETURN COUNT{ (n)--() } AS totalEdgeCount - :result:25 -2024-10-30 06:52:03,189 - lightrag - INFO - _find_node_degree:query: - MATCH (n:`GRAVE`) - RETURN COUNT{ (n)--() } AS totalEdgeCount - :result:1 -2024-10-30 06:52:03,362 - lightrag - INFO - _find_node_degree:query: - MATCH (n:`THE DECEASED MAN`) - RETURN COUNT{ (n)--() } AS totalEdgeCount - :result:2 -2024-10-30 06:52:03,534 - lightrag - INFO - _find_node_degree:query: - MATCH (n:`FEZZIWIG`) - RETURN COUNT{ (n)--() } AS totalEdgeCount - :result:11 -2024-10-30 06:52:03,702 - lightrag - INFO - _find_node_degree:query: - MATCH (n:`THE DEBT`) - RETURN COUNT{ (n)--() } AS totalEdgeCount - :result:1 -2024-10-30 06:52:03,867 - lightrag - INFO - _find_node_degree:query: - MATCH (n:`GHOST OF CHRISTMAS PAST`) - RETURN COUNT{ (n)--() } AS totalEdgeCount - :result:5 -2024-10-30 06:52:04,035 - lightrag - INFO - _find_node_degree:query: - MATCH (n:`IGNORANCE`) - RETURN COUNT{ (n)--() } AS totalEdgeCount - :result:4 -2024-10-30 06:52:04,210 - lightrag - INFO - _find_node_degree:query: - MATCH (n:`MARLEY'S GHOST`) - RETURN COUNT{ (n)--() } AS totalEdgeCount - :result:8 -2024-10-30 06:52:04,383 - lightrag - INFO - _find_node_degree:query: - MATCH (n:`SCROOGE'S NIECE`) - RETURN COUNT{ (n)--() } AS totalEdgeCount - :result:5 -2024-10-30 06:52:04,554 - lightrag - INFO - _find_node_degree:query: - MATCH (n:`TINY TIM`) - RETURN COUNT{ (n)--() } AS totalEdgeCount - :result:12 -2024-10-30 06:52:04,721 - lightrag - INFO - _find_node_degree:query: - MATCH (n:`TIM`) - RETURN COUNT{ (n)--() } AS totalEdgeCount - :result:1 -2024-10-30 06:52:04,892 - lightrag - INFO - _find_node_degree:query: - MATCH (n:`THE SPIRIT`) - RETURN COUNT{ (n)--() } AS totalEdgeCount - :result:8 -2024-10-30 06:52:05,064 - lightrag - INFO - _find_node_degree:query: - MATCH (n:`JACOB MARLEY`) - RETURN COUNT{ (n)--() } AS totalEdgeCount - :result:7 -2024-10-30 06:52:05,234 - lightrag - INFO - _find_node_degree:query: - MATCH (n:`THE CRATCHIT HOUSE`) - RETURN COUNT{ (n)--() } AS totalEdgeCount - :result:2 -2024-10-30 06:52:05,413 - lightrag - INFO - _find_node_degree:query: - MATCH (n:`SPIRIT`) - RETURN COUNT{ (n)--() } AS totalEdgeCount - :result:13 -2024-10-30 06:52:05,583 - lightrag - INFO - _find_node_degree:query: - MATCH (n:`MARLEY`) - RETURN COUNT{ (n)--() } AS totalEdgeCount - :result:5 -2024-10-30 06:52:05,631 - lightrag - INFO - Global query uses 18 entites, 37 relations, 3 text units -2024-10-30 06:52:26,228 - lightrag - INFO - Creating a new event loop in a sub-thread. -2024-10-30 06:52:26,754 - lightrag - INFO - get_node:query:MATCH (n:`TIME`) RETURN n:result: -2024-10-30 06:52:26,844 - lightrag - INFO - get_node:query:MATCH (n:`THE DEATH`) RETURN n:result: -2024-10-30 06:52:26,935 - lightrag - INFO - get_node:query:MATCH (n:`THE EVENT OF DEATH`) RETURN n:result: -2024-10-30 06:52:27,022 - lightrag - INFO - get_node:query:MATCH (n:`THE TOWN`) RETURN n:result: -2024-10-30 06:52:27,106 - lightrag - INFO - get_node:query:MATCH (n:`CHRISTMAS`) RETURN n:result:chunk-c6c248858d1b13ab7ee9ca13c1aeed6bchunk-99b0ec7f7e006561352b5d65e849611dchunk-02baee20cc9463dbe08170a8e1043e32chunk-503f0bfa5453467c7c61d160a3540ecachunk-91572b3cd42786ba4cb2f180ca25cbf4chunk-8f738cb25d60a7dab782162d9d0a25edchunk-94bea83e7153fc2064aa382b494936a1chunk-1d4b58de5429cd1261370c231c8673e8chunk-74e2466de2f67fd710ef2f20c0a8d9e0chunk-89777b838d5447c7bd1ec11282c4ee89chunk-90d5764e301321c087f5a8f78b73a145chunk-91614df5cb74cbe5e109a338a82041e9chunk-54bdd22db1f84a965b5f4c06c9216d8dchunk-773d0df1dd25c356f7b771d780583e09chunk-5dac41b3f9eeaf794f0147400b1718cdchunk-43c9bee23adfa77aa9dedd22401bba7dchunk-da2472b4ef2a535b62908f14d0fb0ca9chunk-8590d9263cd2cd4fa583c432fc54e6c3'}> -2024-10-30 06:52:27,192 - lightrag - INFO - get_node:query:MATCH (n:`HOPE`) RETURN n:result:"Hope emerges as a central theme in the characters\' lives, particularly through Caroline\'s reaction to news about the husband and the family\'s future.""Hope emerges as a central theme in the characters\' lives, particularly through Caroline\'s reaction to news about the husband and the family\'s future.""Hope emerges as a central theme in the characters\' lives, particularly through Caroline\'s reaction to news about the husband and the family\'s future.""Hope emerges as a central theme in the characters\' lives, particularly through Caroline\'s reaction to news about the husband and the family\'s future.""Hope represents the aspirations and dreams that characters have, particularly in the context of the matron\'s optimistic nature.""Hope represents the aspirations and dreams that characters have, particularly in the context of the matron\'s optimistic nature.""Hope represents the aspirations and dreams that characters have, particularly in the context of the matron\'s optimistic nature.""Hope represents the aspirations and dreams that characters have, particularly in the context of the matron\'s optimistic nature.""Hope represents the aspirations and dreams that characters have, particularly in the context of the matron\'s optimistic nature."', 'source_id': 'chunk-54bdd22db1f84a965b5f4c06c9216d8dchunk-83ac129dc9b56f84c46760d153d68e93'}> -2024-10-30 06:52:27,280 - lightrag - INFO - get_node:query:MATCH (n:`CLOCK'S STRIKE`) RETURN n:result: -2024-10-30 06:52:27,368 - lightrag - INFO - get_node:query:MATCH (n:`THE COLD AIR`) RETURN n:result: -2024-10-30 06:52:27,457 - lightrag - INFO - get_node:query:MATCH (n:`THE STOLEN GOODS`) RETURN n:result: -2024-10-30 06:52:27,546 - lightrag - INFO - get_node:query:MATCH (n:`THE SPECTRE`) RETURN n:result: -2024-10-30 06:52:27,632 - lightrag - INFO - get_node:query:MATCH (n:`DEATH`) RETURN n:result:"Death is described as a powerful force in the narrative, represented through the imagery of a cold, rigid presence and the contemplation of mortality.""Death refers to the passing of a character that triggers a range of emotions and reflections among the living, influencing their lives and relationships.""Death is depicted as a cold, inevitable force, prompting reflections on the value of life and the consequences of avarice.""Death is depicted as a cold, inevitable force, prompting reflections on the value of life and the consequences of avarice.""Death is depicted as a cold, inevitable force, prompting reflections on the value of life and the consequences of avarice.""Death is depicted as a cold, inevitable force, prompting reflections on the value of life and the consequences of avarice.""Death is depicted as a cold, inevitable force, prompting reflections on the value of life and the consequences of avarice."', 'source_id': 'chunk-e1f29eeadc1d8ab46dc8a0bbd3c56b64chunk-83ac129dc9b56f84c46760d153d68e93chunk-02baee20cc9463dbe08170a8e1043e32'}> -2024-10-30 06:52:27,719 - lightrag - INFO - get_node:query:MATCH (n:`THE BED`) RETURN n:result:"The Bed represents a significant scene where the deceased man\'s body is laid, evoking deep emotions and realizations about life and morality.""The Bed represents a significant scene where the deceased man\'s body is laid, evoking deep emotions and realizations about life and morality.""The Bed represents a significant scene where the deceased man\'s body is laid, evoking deep emotions and realizations about life and morality.""The Bed represents a significant scene where the deceased man\'s body is laid, evoking deep emotions and realizations about life and morality.""The Bed represents a significant scene where the deceased man\'s body is laid, evoking deep emotions and realizations about life and morality."', 'source_id': 'chunk-e1f29eeadc1d8ab46dc8a0bbd3c56b64'}> -2024-10-30 06:52:27,806 - lightrag - INFO - get_node:query:MATCH (n:`JUDGMENT`) RETURN n:result: -2024-10-30 06:52:27,895 - lightrag - INFO - get_node:query:MATCH (n:`CLOCK`) RETURN n:result: -2024-10-30 06:52:27,983 - lightrag - INFO - get_node:query:MATCH (n:`SCROOGE`) RETURN n:result:chunk-b0f459f5af1c3a5e0b92cbe4ee48b77bchunk-e7637ff18c5ded77a68cce0a87883fadchunk-359187e7571bda4b0b08b2e0b6581e52chunk-e1f29eeadc1d8ab46dc8a0bbd3c56b64chunk-c6c248858d1b13ab7ee9ca13c1aeed6bchunk-cb661c37436355ccec2769b1d0350c5fchunk-f1a4fbcf1ed86864b9bfd5e8dba4c683chunk-99b0ec7f7e006561352b5d65e849611dchunk-843b5b2f944c7413d9ca876e2e2f151fchunk-90b95db5c53e4364a6bee36b7aa4d70fchunk-19d72c57ae3408758b18d2568e86dc6bchunk-02baee20cc9463dbe08170a8e1043e32chunk-503f0bfa5453467c7c61d160a3540ecachunk-91572b3cd42786ba4cb2f180ca25cbf4chunk-83ac129dc9b56f84c46760d153d68e93chunk-8f738cb25d60a7dab782162d9d0a25edchunk-94bea83e7153fc2064aa382b494936a1chunk-9c43dac2fcd5b578242d907ea6f8fc7bchunk-74e2466de2f67fd710ef2f20c0a8d9e0chunk-89777b838d5447c7bd1ec11282c4ee89chunk-d9aac3484185ac66045df92214d245d5chunk-90d5764e301321c087f5a8f78b73a145chunk-91614df5cb74cbe5e109a338a82041e9chunk-54bdd22db1f84a965b5f4c06c9216d8dchunk-773d0df1dd25c356f7b771d780583e09chunk-5dac41b3f9eeaf794f0147400b1718cdchunk-43c9bee23adfa77aa9dedd22401bba7dchunk-da2472b4ef2a535b62908f14d0fb0ca9chunk-1aa50206d02ed89418f65f97c6441d1cchunk-8590d9263cd2cd4fa583c432fc54e6c3chunk-b2f98bc7abb0c67d4c86055c7fd72218chunk-bb21d58d36c6306fd8810ddd51c4a971'}> -2024-10-30 06:52:28,072 - lightrag - INFO - get_node:query:MATCH (n:`THE MEETING`) RETURN n:result: -2024-10-30 06:52:28,156 - lightrag - INFO - get_node:query:MATCH (n:`THE GHOST`) RETURN n:result:chunk-43c9bee23adfa77aa9dedd22401bba7dchunk-e7637ff18c5ded77a68cce0a87883fadchunk-359187e7571bda4b0b08b2e0b6581e52chunk-da2472b4ef2a535b62908f14d0fb0ca9chunk-c6c248858d1b13ab7ee9ca13c1aeed6bchunk-02baee20cc9463dbe08170a8e1043e32chunk-1aa50206d02ed89418f65f97c6441d1cchunk-cb661c37436355ccec2769b1d0350c5fchunk-54bdd22db1f84a965b5f4c06c9216d8dchunk-8590d9263cd2cd4fa583c432fc54e6c3chunk-83ac129dc9b56f84c46760d153d68e93chunk-9c43dac2fcd5b578242d907ea6f8fc7b'}> -2024-10-30 06:52:28,238 - lightrag - INFO - get_node:query:MATCH (n:`MARLEY`) RETURN n:result:"Marley is Scrooge\'s deceased business partner whose presence looms over the story, symbolizing the consequences of a life similar to Scrooge\'s.""Marley is Scrooge\'s deceased business partner, whose death is a significant event that sets the tone for the story.""Marley is Scrooge\'s deceased business partner, whose death is mentioned as impactful, having passed seven years prior to the events in the text.""Marley is depicted as a ghost, having a pigtail, waistcoat, tights, and boots, and is central to Scrooge\'s haunting experience."Marley is Scrooge\'s deceased business partner, whose presence looms over the narrative of the story, symbolizing the dire consequences of a life lived without compassion and care for others. His death serves as a significant event that sets the tone for the plot and reflects the overarching themes of regret and the supernatural.\n\nMarley passed away seven years prior to the events depicted, making his spectral appearance even more impactful. Despite being a character who is only mentioned throughout much of the story, his influence on Scrooge is profound, as reflections and memories of Marley shape Scrooge\'s perspective on life and relationships. This ghostly figure is depicted distinctly with a pigtail, waistcoat, tights, and boots, making him central to Scrooge\'s haunting experience.\n\nOverall, Marley represents the weight of past actions and the importance of empathy, acting as a harbinger of transformation for Scrooge. His ghostly manifestation evokes both fear and introspection, ultimately contributing to the moral lessons embedded in the tale."Marley is Scrooge\'s deceased business partner, whose death is a significant event that sets the tone for the story.""Marley is Scrooge\'s deceased business partner, whose death is mentioned as impactful, having passed seven years prior to the events in the text.""Marley is depicted as a ghost, having a pigtail, waistcoat, tights, and boots, and is central to Scrooge\'s haunting experience."', 'source_id': 'chunk-5dac41b3f9eeaf794f0147400b1718cdchunk-89777b838d5447c7bd1ec11282c4ee89chunk-d9aac3484185ac66045df92214d245d5chunk-9c43dac2fcd5b578242d907ea6f8fc7bchunk-843b5b2f944c7413d9ca876e2e2f151f'}> -2024-10-30 06:52:28,324 - lightrag - INFO - get_node:query:MATCH (n:`THE BUNDLE`) RETURN n:result:"The Bundle contains the belongings of the deceased man, which serve as a focal point for discussion among the characters regarding value and morality.""The Bundle contains the belongings of the deceased man, which serve as a focal point for discussion among the characters regarding value and morality.""The Bundle contains the belongings of the deceased man, which serve as a focal point for discussion among the characters regarding value and morality.""The Bundle contains the belongings of the deceased man, which serve as a focal point for discussion among the characters regarding value and morality.""The Bundle refers to the collection of stolen items brought by the characters to Old Joe\'s shop for appraisal, symbolizing their actions post-death.""The Bundle refers to the collection of stolen items that the characters present to Old Joe for appraisal.""The Bundle refers to the collection of stolen items brought by the characters to Old Joe\'s shop for appraisal, symbolizing their actions post-death.""The Bundle refers to the collection of stolen items brought by the characters to Old Joe\'s shop for appraisal, symbolizing their actions post-death.""The Bundle refers to the collection of stolen items brought by the characters to Old Joe\'s shop for appraisal, symbolizing their actions post-death.""The Bundle refers to the collection of stolen items brought by the characters to Old Joe\'s shop for appraisal, symbolizing their actions post-death."', 'source_id': 'chunk-e1f29eeadc1d8ab46dc8a0bbd3c56b64chunk-60fc063c79fc0d4acc91a57e79de04dc'}> -2024-10-30 06:52:28,408 - lightrag - INFO - get_node:query:MATCH (n:`THE RAGS`) RETURN n:result: -2024-10-30 06:52:28,497 - lightrag - INFO - get_node:query:MATCH (n:`SNOW`) RETURN n:result: -2024-10-30 06:52:28,584 - lightrag - INFO - get_node:query:MATCH (n:`THE FUNERAL`) RETURN n:result:"The Funeral is a context for conversation among characters, reflecting on mortality and social connections surrounding death.""The Funeral is a context for conversation among characters, reflecting on mortality and social connections surrounding death.""The Funeral is a context for conversation among characters, reflecting on mortality and social connections surrounding death.""The Funeral is a context for conversation among characters, reflecting on mortality and social connections surrounding death.""The Funeral of Marley is a significant event that highlights Scrooge\'s relationship with Marley and sets the tone for their partnership and Scrooge\'s eventual path.""The Funeral serves as a significant event reflecting on Marley\'s death, noted for its business-like atmosphere as perceived by Scrooge.""The Funeral of Marley is a significant event that highlights Scrooge\'s relationship with Marley and sets the tone for their partnership and Scrooge\'s eventual path.""The Funeral of Marley is a significant event that highlights Scrooge\'s relationship with Marley and sets the tone for their partnership and Scrooge\'s eventual path.""The Funeral of Marley is a significant event that highlights Scrooge\'s relationship with Marley and sets the tone for their partnership and Scrooge\'s eventual path.""The Funeral of Marley is a significant event that highlights Scrooge\'s relationship with Marley and sets the tone for their partnership and Scrooge\'s eventual path."', 'source_id': 'chunk-f1a4fbcf1ed86864b9bfd5e8dba4c683chunk-89777b838d5447c7bd1ec11282c4ee89'}> -2024-10-30 06:52:28,670 - lightrag - INFO - get_node:query:MATCH (n:`MARTHA`) RETURN n:result:"Martha is the daughter in the Cratchit family, who makes a dramatic entrance to surprise her family, highlighting the family\'s closeness.""Martha is the daughter in the Cratchit family, who makes a dramatic entrance to surprise her family, highlighting the family\'s closeness.""Martha is the daughter in the Cratchit family, who makes a dramatic entrance to surprise her family, highlighting the family\'s closeness.""Martha is the daughter in the Cratchit family, who makes a dramatic entrance to surprise her family, highlighting the family\'s closeness.""Martha is the daughter in the Cratchit family, who makes a dramatic entrance to surprise her family, highlighting the family\'s closeness."', 'source_id': 'chunk-19d72c57ae3408758b18d2568e86dc6bchunk-7e2e7ebcc19a53b399dc03aded4743e7'}> -2024-10-30 06:52:28,760 - lightrag - INFO - get_node:query:MATCH (n:`THE MOTHER`) RETURN n:result:"The Mother is a character associated with the family dynamics during the Christmas scene, though her actions are not explicitly detailed.""The Mother is depicted as a comely matron, who enjoys the laughter and chaos with her children, showing warmth and family value.""The Mother is a character who exhibits anxiety and hope as she awaits her husband\'s return, embodying the emotional depth of family relations during hardship.""The Mother is a character who shares a tender moment with her husband and daughter, representing familial love and connection.""The Mother is a character who exhibits anxiety and hope as she awaits her husband\'s return, embodying the emotional depth of family relations during hardship.""The Mother is a character who shares a tender moment with her husband and daughter, representing familial love and connection.""The Mother is a character who exhibits anxiety and hope as she awaits her husband\'s return, embodying the emotional depth of family relations during hardship.""The Mother is a character who shares a tender moment with her husband and daughter, representing familial love and connection.""The Mother is a character who exhibits anxiety and hope as she awaits her husband\'s return, embodying the emotional depth of family relations during hardship.""The Mother is a character who shares a tender moment with her husband and daughter, representing familial love and connection.""The Mother is a character who exhibits anxiety and hope as she awaits her husband\'s return, embodying the emotional depth of family relations during hardship.""The Mother is a character who shares a tender moment with her husband and daughter, representing familial love and connection."', 'source_id': 'chunk-54bdd22db1f84a965b5f4c06c9216d8dchunk-da2472b4ef2a535b62908f14d0fb0ca9chunk-83ac129dc9b56f84c46760d153d68e93'}> -2024-10-30 06:52:28,849 - lightrag - INFO - get_node:query:MATCH (n:`DING DONG`) RETURN n:result: -2024-10-30 06:52:28,934 - lightrag - INFO - get_node:query:MATCH (n:`THE HOUSE`) RETURN n:result:"The House is the setting for Scrooge\'s encounters, characterized by its darkness, the creaking sounds, and the presence of the ghost.""The House is the setting for Scrooge\'s encounters, characterized by its darkness, the creaking sounds, and the presence of the ghost.""The House is the setting for Scrooge\'s encounters, characterized by its darkness, the creaking sounds, and the presence of the ghost.""The House is the setting for Scrooge\'s encounters, characterized by its darkness, the creaking sounds, and the presence of the ghost.""The House is the setting for the Christmas celebration and interactions among the characters, embodying warmth and family togetherness.""The House is the setting where Scrooge experiences the haunting, with a description of its features contributing to the eerie atmosphere."', 'source_id': 'chunk-da2472b4ef2a535b62908f14d0fb0ca9chunk-9c43dac2fcd5b578242d907ea6f8fc7b'}> -2024-10-30 06:52:29,024 - lightrag - INFO - get_node:query:MATCH (n:`THE DEBT`) RETURN n:result: -2024-10-30 06:52:29,113 - lightrag - INFO - get_node:query:MATCH (n:`COLD`) RETURN n:result: -2024-10-30 06:52:29,199 - lightrag - INFO - get_node:query:MATCH (n:`THE FOG AND FROST`) RETURN n:result: -2024-10-30 06:52:29,286 - lightrag - INFO - get_node:query:MATCH (n:`LONDON`) RETURN n:result:"London is the city where the narrative takes place, representing a central location in the story.""London is the city where the narrative takes place, representing a central location in the story.""London is the city where the narrative takes place, representing a central location in the story.""London is the city where the narrative takes place, representing a central location in the story.""London serves as the general setting for the story, although its specific mention relates to an animal in the context of a game.""London serves as the geographical setting for the story, encapsulating the harsh winter atmosphere and the life of its inhabitants during the festive season.""London serves as the setting where the events take place, adding a cultural backdrop to the Christmas gathering.""London serves as the setting for the story, highlighting the bustling yet isolating environment in which Scrooge lives.""London serves as the general setting for the story, although its specific mention relates to an animal in the context of a game.""London serves as the setting for the story, highlighting the bustling yet isolating environment in which Scrooge lives.""London serves as the general setting for the story, although its specific mention relates to an animal in the context of a game.""London serves as the setting for the story, highlighting the bustling yet isolating environment in which Scrooge lives.""London serves as the general setting for the story, although its specific mention relates to an animal in the context of a game.""London serves as the setting for the story, highlighting the bustling yet isolating environment in which Scrooge lives.""London serves as the general setting for the story, although its specific mention relates to an animal in the context of a game.""London serves as the setting for the story, highlighting the bustling yet isolating environment in which Scrooge lives."', 'source_id': 'chunk-d9aac3484185ac66045df92214d245d5chunk-43c9bee23adfa77aa9dedd22401bba7dchunk-e7637ff18c5ded77a68cce0a87883fad'}> -2024-10-30 06:52:29,370 - lightrag - INFO - get_node:query:MATCH (n:`CITY`) RETURN n:result:"The City represents the urban setting where Scrooge witnesses the indifference of its inhabitants regarding his death.""The City represents the urban setting where Scrooge\'s transformation takes place, symbolizing the broader society impacted by his changes.""The City serves as a backdrop where various scenes unfold, representing the hustle of life and economic concerns.""The City symbolizes the urban setting where Scrooge\'s transformation takes place, primarily depicting the contrast between Scrooge\'s isolation and the outer world filled with festivities.""The City serves as a backdrop where various scenes unfold, representing the hustle of life and economic concerns.""The City symbolizes the urban setting where Scrooge\'s transformation takes place, primarily depicting the contrast between Scrooge\'s isolation and the outer world filled with festivities.""The City serves as a backdrop where various scenes unfold, representing the hustle of life and economic concerns.""The City symbolizes the urban setting where Scrooge\'s transformation takes place, primarily depicting the contrast between Scrooge\'s isolation and the outer world filled with festivities.""The City serves as a backdrop where various scenes unfold, representing the hustle of life and economic concerns.""The City symbolizes the urban setting where Scrooge\'s transformation takes place, primarily depicting the contrast between Scrooge\'s isolation and the outer world filled with festivities.""The City serves as a backdrop where various scenes unfold, representing the hustle of life and economic concerns.""The City symbolizes the urban setting where Scrooge\'s transformation takes place, primarily depicting the contrast between Scrooge\'s isolation and the outer world filled with festivities."', 'source_id': 'chunk-02baee20cc9463dbe08170a8e1043e32chunk-843b5b2f944c7413d9ca876e2e2f151fchunk-94bea83e7153fc2064aa382b494936a1'}> -2024-10-30 06:52:29,456 - lightrag - INFO - get_node:query:MATCH (n:`THE DYING FLAME`) RETURN n:result:"The Dying Flame represents the fear and uncertainty in Scrooge as it reacts to the presence of Marley’s Ghost, adding to the eerie atmosphere.""The Dying Flame represents the fear and uncertainty in Scrooge as it reacts to the presence of Marley’s Ghost, adding to the eerie atmosphere.""The Dying Flame represents the fear and uncertainty in Scrooge as it reacts to the presence of Marley’s Ghost, adding to the eerie atmosphere.""The Dying Flame represents the fear and uncertainty in Scrooge as it reacts to the presence of Marley’s Ghost, adding to the eerie atmosphere.""The Dying Flame signifies the waning spirit of Scrooge, momentarily invigorated by the arrival of the ghost as a metaphor for his fading humanity.""The Dying Flame signifies the waning spirit of Scrooge, momentarily invigorated by the arrival of the ghost as a metaphor for his fading humanity.""The Dying Flame signifies the waning spirit of Scrooge, momentarily invigorated by the arrival of the ghost as a metaphor for his fading humanity.""The Dying Flame signifies the waning spirit of Scrooge, momentarily invigorated by the arrival of the ghost as a metaphor for his fading humanity.""The Dying Flame signifies the waning spirit of Scrooge, momentarily invigorated by the arrival of the ghost as a metaphor for his fading humanity."', 'source_id': 'chunk-9c43dac2fcd5b578242d907ea6f8fc7bchunk-1aa50206d02ed89418f65f97c6441d1c'}> -2024-10-30 06:52:29,546 - lightrag - INFO - get_node:query:MATCH (n:`THE PHANTOM`) RETURN n:result:"The Phantom represents a ghostly presence guiding Scrooge through reflections on his life and future decisions.""The Phantom represents a ghostly presence guiding Scrooge through reflections on his life and future decisions.""The Phantom represents a ghostly presence guiding Scrooge through reflections on his life and future decisions.""The Phantom represents a ghostly presence guiding Scrooge through reflections on his life and future decisions.""The Phantom represents the supernatural element in Scrooge\'s journey of self-reflection and moral awakening."', 'source_id': 'chunk-f1a4fbcf1ed86864b9bfd5e8dba4c683'}> -2024-10-30 06:52:29,635 - lightrag - INFO - get_node:query:MATCH (n:`JOE`) RETURN n:result:"Joe is a marine-store dealer depicted as receiving stolen goods, illustrating the consequences of crime and the darker sides of society.""Joe is portrayed as a character engaged in a conversation about the deceased, displaying a mix of humor and practicality in dealing with the possessions of the dead.""Joe is a character who interacts with others, demonstrating a sense of curiosity and disbelief regarding certain situations and comments.""Joe is a marine-store dealer and receiver of stolen goods, indicative of the darker, more unscrupulous elements of society.""Joe is an old character who engages in conversation about the deceased man\'s belongings, revealing his pragmatic and somewhat cynical perspective on life and death.""Joe is a character who interacts with others, demonstrating a sense of curiosity and disbelief regarding certain situations and comments.""Joe is a marine-store dealer and receiver of stolen goods, indicative of the darker, more unscrupulous elements of society.""Joe is an old character who engages in conversation about the deceased man\'s belongings, revealing his pragmatic and somewhat cynical perspective on life and death.""Joe is a character who interacts with others, demonstrating a sense of curiosity and disbelief regarding certain situations and comments.""Joe is a marine-store dealer and receiver of stolen goods, indicative of the darker, more unscrupulous elements of society.""Joe is an old character who engages in conversation about the deceased man\'s belongings, revealing his pragmatic and somewhat cynical perspective on life and death.""Joe is a character who interacts with others, demonstrating a sense of curiosity and disbelief regarding certain situations and comments.""Joe is a marine-store dealer and receiver of stolen goods, indicative of the darker, more unscrupulous elements of society.""Joe is an old character who engages in conversation about the deceased man\'s belongings, revealing his pragmatic and somewhat cynical perspective on life and death.""Joe is a character who interacts with others, demonstrating a sense of curiosity and disbelief regarding certain situations and comments.""Joe is a marine-store dealer and receiver of stolen goods, indicative of the darker, more unscrupulous elements of society.""Joe is an old character who engages in conversation about the deceased man\'s belongings, revealing his pragmatic and somewhat cynical perspective on life and death."', 'source_id': 'chunk-e1f29eeadc1d8ab46dc8a0bbd3c56b64chunk-9e3921da66da5d761ab73cd849af6c43chunk-89777b838d5447c7bd1ec11282c4ee89'}> -2024-10-30 06:52:29,722 - lightrag - INFO - get_node:query:MATCH (n:`WINDING RIVER`) RETURN n:result: -2024-10-30 06:52:29,811 - lightrag - INFO - get_node:query:MATCH (n:`SPECTRE`) RETURN n:result: -2024-10-30 06:52:29,900 - lightrag - INFO - get_node:query:MATCH (n:`THE VISION`) RETURN n:result: -2024-10-30 06:52:29,988 - lightrag - INFO - get_node:query:MATCH (n:`THE FAMILY`) RETURN n:result: -2024-10-30 06:52:30,072 - lightrag - INFO - get_node:query:MATCH (n:`THE ACCUSATION`) RETURN n:result: -2024-10-30 06:52:30,160 - lightrag - INFO - get_node:query:MATCH (n:`CRATCHIT FAMILY`) RETURN n:result:"The Cratchit Family consists of Bob, Mrs. Cratchit, and their children, embodying themes of family unity and contentment despite hardships.""The Cratchit Family consists of Bob, Mrs. Cratchit, and their children, embodying themes of family unity and contentment despite hardships.""The Cratchit Family consists of Bob, Mrs. Cratchit, and their children, embodying themes of family unity and contentment despite hardships.""The Cratchit Family consists of Bob, Mrs. Cratchit, and their children, embodying themes of family unity and contentment despite hardships.""The Cratchit Family is a close-knit family characterized by love and togetherness, celebrating Christmas with simple but joyful traditions.""The Cratchit Family is portrayed as a close-knit group who, despite their hardships, find joy and gratitude during the Christmas gathering.""The Cratchit Family is portrayed as a loving unit celebrating Christmas together, with various members actively participating in the festivities.""The Cratchit family represents a unit bound by love and resilience in the face of adversity, dealing with emotional and financial struggles.""The Cratchit Family is depicted as a warm and loving household celebrating Christmas together, with various members actively participating in the festivities.""The Cratchit Family is depicted as a warm and loving household celebrating Christmas together, with various members actively participating in the festivities.""The Cratchit Family is depicted as a warm and loving household celebrating Christmas together, with various members actively participating in the festivities.""The Cratchit Family is depicted as a warm and loving household celebrating Christmas together, with various members actively participating in the festivities.""The Cratchit Family is depicted as a warm and loving household celebrating Christmas together, with various members actively participating in the festivities."', 'source_id': 'chunk-503f0bfa5453467c7c61d160a3540ecachunk-19d72c57ae3408758b18d2568e86dc6bchunk-7e2e7ebcc19a53b399dc03aded4743e7chunk-83ac129dc9b56f84c46760d153d68e93'}> -2024-10-30 06:52:30,251 - lightrag - INFO - get_node:query:MATCH (n:`THE CHAIN`) RETURN n:result:"The Chain symbolizes the burdens of the past that haunt the spirits, showcasing the consequences of one\'s actions in life.""The Chain represents the burdens of greed and the consequences of one\'s actions, worn by Marley\'s Ghost as a physical manifestation of his regrets.""The Chain represents the burdens of regret and guilt that haunt Marley and serve as a warning to Scrooge about the consequences of a life poorly lived.""The Chain represents the burdens of greed and the consequences of one\'s actions, worn by Marley\'s Ghost as a physical manifestation of his regrets.""The Chain represents the burdens of regret and guilt that haunt Marley and serve as a warning to Scrooge about the consequences of a life poorly lived.""The Chain represents the burdens of greed and the consequences of one\'s actions, worn by Marley\'s Ghost as a physical manifestation of his regrets.""The Chain represents the burdens of regret and guilt that haunt Marley and serve as a warning to Scrooge about the consequences of a life poorly lived.""The Chain represents the burdens of greed and the consequences of one\'s actions, worn by Marley\'s Ghost as a physical manifestation of his regrets.""The Chain represents the burdens of regret and guilt that haunt Marley and serve as a warning to Scrooge about the consequences of a life poorly lived.""The Chain represents the burdens of greed and the consequences of one\'s actions, worn by Marley\'s Ghost as a physical manifestation of his regrets.""The Chain represents the burdens of regret and guilt that haunt Marley and serve as a warning to Scrooge about the consequences of a life poorly lived."', 'source_id': 'chunk-359187e7571bda4b0b08b2e0b6581e52chunk-cb661c37436355ccec2769b1d0350c5fchunk-1aa50206d02ed89418f65f97c6441d1c'}> -2024-10-30 06:52:30,341 - lightrag - INFO - get_node:query:MATCH (n:`THE CLOCK`) RETURN n:result:"The Clock is mentioned as malfunctioning, which symbolizes the confusion and distortion of time that Scrooge experiences during his nighttime visitations.""The Clock serves as a symbol of time passing, reflecting Scrooge\'s disorientation regarding time as he transitions between reality and the supernatural.""The Clock signifies the passage of time during the Domestic Ball and plays a role in marking the end of the celebration.""The Clock serves as a symbol of time passing, reflecting Scrooge\'s disorientation regarding time as he transitions between reality and the supernatural.""The Clock signifies the passage of time during the Domestic Ball and plays a role in marking the end of the celebration.""The Clock serves as a symbol of time passing, reflecting Scrooge\'s disorientation regarding time as he transitions between reality and the supernatural.""The Clock signifies the passage of time during the Domestic Ball and plays a role in marking the end of the celebration.""The Clock serves as a symbol of time passing, reflecting Scrooge\'s disorientation regarding time as he transitions between reality and the supernatural.""The Clock signifies the passage of time during the Domestic Ball and plays a role in marking the end of the celebration.""The Clock serves as a symbol of time passing, reflecting Scrooge\'s disorientation regarding time as he transitions between reality and the supernatural.""The Clock signifies the passage of time during the Domestic Ball and plays a role in marking the end of the celebration."', 'source_id': 'chunk-c7b10789a9cb0af6c553730b29bd9034chunk-b2f98bc7abb0c67d4c86055c7fd72218chunk-cb661c37436355ccec2769b1d0350c5f'}> -2024-10-30 06:52:30,430 - lightrag - INFO - get_node:query:MATCH (n:`SPIRIT`) RETURN n:result:"The Spirit represents a ghostly figure guiding Scrooge through reflections related to a death, illustrating lessons about life and mortality.""The Spirit represents a supernatural being guiding Scrooge through lessons about the consequences of his actions and the future.""The Spirit represents a supernatural entity guiding Scrooge and teaching him lessons about compassion and humanity."The "Spirit" represents a multifaceted supernatural entity that plays a crucial role in guiding Ebenezer Scrooge through profound reflections on his life, death, and human emotions. Central to the narrative is the Spirit\'s embodiment of the essence of Marley, which interacts with Scrooge to highlight themes related to the afterlife and unresolved issues. The Spirit manifests as various figures, most notably the Ghost of Christmas Present, who personifies the themes of generosity, merriment, and the true spirit of the Christmas season.\n\nThroughout Scrooge\'s journey, the Spirit serves as a guide, leading him through memories of his past, reflecting his former self and the influence of time on his character. The entity illustrates important lessons about compassion, social responsibility, and the consequences of his actions, urging Scrooge to confront societal issues and fostering self-awareness.\n\nThe Spirit also emphasizes the somber aspects of life, illustrating lessons about mortality and the inevitability of death, prompting Scrooge to reflect on the implications of his life choices. Overall, the Spirit encapsulates the intersection of compassion, humanity, and the moral lessons inherent in the experience of life, serving as a catalyst for Scrooge\'s transformation and awakening.', 'source_id': 'chunk-e7637ff18c5ded77a68cce0a87883fadchunk-02baee20cc9463dbe08170a8e1043e32chunk-1aa50206d02ed89418f65f97c6441d1cchunk-83ac129dc9b56f84c46760d153d68e93chunk-843b5b2f944c7413d9ca876e2e2f151fchunk-bb21d58d36c6306fd8810ddd51c4a971'}> -2024-10-30 06:52:30,519 - lightrag - INFO - get_node:query:MATCH (n:`DINNER`) RETURN n:result: -2024-10-30 06:52:30,607 - lightrag - INFO - get_node:query:MATCH (n:`THE SHOP`) RETURN n:result:"The Shop is a setting where characters gather to appraise items they have taken from the deceased, reflecting their attitudes towards death and morality.""The Shop is a setting where characters gather to appraise items they have taken from the deceased, reflecting their attitudes towards death and morality.""The Shop is a setting where characters gather to appraise items they have taken from the deceased, reflecting their attitudes towards death and morality.""The Shop is a setting where characters gather to appraise items they have taken from the deceased, reflecting their attitudes towards death and morality.""The Shop is a setting where characters gather to appraise items they have taken from the deceased, reflecting their attitudes towards death and morality."', 'source_id': 'chunk-60fc063c79fc0d4acc91a57e79de04dc'}> -2024-10-30 06:52:30,694 - lightrag - INFO - get_node:query:MATCH (n:`THE COUNTESS`) RETURN n:result:"The Countess is mentioned by Martha, indicating an encounter that highlights the social stratification and aspirations of the Cratchit family.""The Countess is mentioned by Martha, indicating an encounter that highlights the social stratification and aspirations of the Cratchit family.""The Countess is mentioned by Martha, indicating an encounter that highlights the social stratification and aspirations of the Cratchit family.""The Countess is mentioned by Martha, indicating an encounter that highlights the social stratification and aspirations of the Cratchit family.""The Countess is referenced by Martha, showcasing her interaction with figures of higher social status, contrasting with the Cratchit family\'s situation."', 'source_id': 'chunk-19d72c57ae3408758b18d2568e86dc6b'}> -2024-10-30 06:52:30,785 - lightrag - INFO - get_node:query:MATCH (n:`MISCELLANEOUS TATTERS`) RETURN n:result: -2024-10-30 06:52:30,875 - lightrag - INFO - get_node:query:MATCH (n:`THE WAVE`) RETURN n:result: -2024-10-30 06:52:30,964 - lightrag - INFO - get_node:query:MATCH (n:`HAPPINESS`) RETURN n:result: -2024-10-30 06:52:31,052 - lightrag - INFO - get_node:query:MATCH (n:`THE GHOST OF MARLEY`) RETURN n:result:"The Ghost of Marley refers to the apparition that appears to Scrooge, serving as a catalyst for his transformation and moral reckoning.""The Ghost of Marley refers to the apparition that appears to Scrooge, serving as a catalyst for his transformation and moral reckoning.""The Ghost of Marley refers to the apparition that appears to Scrooge, serving as a catalyst for his transformation and moral reckoning.""The Ghost of Marley refers to the apparition that appears to Scrooge, serving as a catalyst for his transformation and moral reckoning.""The Ghost of Marley refers to the apparition that appears to Scrooge, serving as a catalyst for his transformation and moral reckoning."', 'source_id': 'chunk-d9aac3484185ac66045df92214d245d5'}> -2024-10-30 06:52:31,136 - lightrag - INFO - get_node:query:MATCH (n:`COLD WEATHER`) RETURN n:result:"Cold Weather sets the bleak and unforgiving atmosphere, reflecting Scrooge’s own personality and state of mind.""Cold Weather sets the bleak and unforgiving atmosphere, reflecting Scrooge’s own personality and state of mind.""Cold Weather sets the bleak and unforgiving atmosphere, reflecting Scrooge’s own personality and state of mind.""Cold Weather sets the bleak and unforgiving atmosphere, reflecting Scrooge’s own personality and state of mind.""Cold Weather sets the bleak and unforgiving atmosphere, reflecting Scrooge’s own personality and state of mind."', 'source_id': 'chunk-f1a4fbcf1ed86864b9bfd5e8dba4c683chunk-74e2466de2f67fd710ef2f20c0a8d9e0'}> -2024-10-30 06:52:31,223 - lightrag - INFO - get_node:query:MATCH (n:`MERRIMENT`) RETURN n:result:"Merriment embodies the joy and celebration associated with the holiday season and the gathering of family and friends in the narrative.""Merriment embodies the joy and celebration associated with the holiday season and the gathering of family and friends in the narrative.""Merriment embodies the joy and celebration associated with the holiday season and the gathering of family and friends in the narrative.""Merriment embodies the joy and celebration associated with the holiday season and the gathering of family and friends in the narrative.""Merriment refers to the joyful and festive atmosphere that the characters aim to create, opposing Scrooge\'s jaded perspective on social gatherings.""Merriment refers to the joyful and festive atmosphere that the characters aim to create, opposing Scrooge\'s jaded perspective on social gatherings.""Merriment refers to the joyful and festive atmosphere that the characters aim to create, opposing Scrooge\'s jaded perspective on social gatherings.""Merriment refers to the joyful and festive atmosphere that the characters aim to create, opposing Scrooge\'s jaded perspective on social gatherings.""Merriment refers to the joyful and festive atmosphere that the characters aim to create, opposing Scrooge\'s jaded perspective on social gatherings."', 'source_id': 'chunk-773d0df1dd25c356f7b771d780583e09chunk-e7637ff18c5ded77a68cce0a87883fad'}> -2024-10-30 06:52:31,309 - lightrag - INFO - get_node:query:MATCH (n:`WANT`) RETURN n:result:"Want is represented as the second child shown by the Spirit, symbolizing the dire social conditions and needs of the impoverished.""Want represents another societal failing, portrayed as a girl, symbolizing deprivation and yearning for basic needs.""Want is represented as the second child shown by the Spirit, symbolizing the dire social conditions and needs of the impoverished.""Want represents another societal failing, portrayed as a girl, symbolizing deprivation and yearning for basic needs.""Want is represented as the second child shown by the Spirit, symbolizing the dire social conditions and needs of the impoverished.""Want represents another societal failing, portrayed as a girl, symbolizing deprivation and yearning for basic needs.""Want is represented as the second child shown by the Spirit, symbolizing the dire social conditions and needs of the impoverished.""Want represents another societal failing, portrayed as a girl, symbolizing deprivation and yearning for basic needs.""Want is represented as the second child shown by the Spirit, symbolizing the dire social conditions and needs of the impoverished.""Want represents another societal failing, portrayed as a girl, symbolizing deprivation and yearning for basic needs."', 'source_id': 'chunk-02baee20cc9463dbe08170a8e1043e32chunk-e7637ff18c5ded77a68cce0a87883fad'}> -2024-10-30 06:52:31,395 - lightrag - INFO - get_node:query:MATCH (n:`THE SCHOOL`) RETURN n:result: -2024-10-30 06:52:31,481 - lightrag - INFO - get_node:query:MATCH (n:`THE DARK ROOM`) RETURN n:result:"The Dark Room is where the corpse lies, symbolizing isolation and the lack of care for the deceased.""The Dark Room is where the corpse lies, symbolizing isolation and the lack of care for the deceased.""The Dark Room is where the corpse lies, symbolizing isolation and the lack of care for the deceased.""The Dark Room is where the corpse lies, symbolizing isolation and the lack of care for the deceased.""The Dark Room serves as the setting for the scene, enhancing the atmosphere of dread and the theme of impending death."', 'source_id': 'chunk-e1f29eeadc1d8ab46dc8a0bbd3c56b64'}> -2024-10-30 06:52:31,570 - lightrag - INFO - get_node:query:MATCH (n:`CAROLINE`) RETURN n:result:"Caroline is portrayed as a mother filled with hope and emotion regarding her husband’s situation, revealing her character through her reactions to news.""Caroline is portrayed as a mother filled with hope and emotion regarding her husband’s situation, revealing her character through her reactions to news.""Caroline is portrayed as a mother filled with hope and emotion regarding her husband’s situation, revealing her character through her reactions to news.""Caroline is portrayed as a mother filled with hope and emotion regarding her husband’s situation, revealing her character through her reactions to news.""Caroline is portrayed as a mother filled with hope and emotion regarding her husband’s situation, revealing her character through her reactions to news."', 'source_id': 'chunk-83ac129dc9b56f84c46760d153d68e93'}> -2024-10-30 06:52:31,659 - lightrag - INFO - get_node:query:MATCH (n:`EVENING`) RETURN n:result: -2024-10-30 06:52:31,748 - lightrag - INFO - get_node:query:MATCH (n:`THE CRATCHIT FAMILY`) RETURN n:result:"The Cratchit Family consists of Bob, Mrs. Cratchit, Tiny Tim, and their children, characterized by their strong familial bonds and love for one another despite financial struggles.""The Cratchit Family consists of Bob, Mrs. Cratchit, Tiny Tim, and their children, characterized by their strong familial bonds and love for one another despite financial struggles.""The Cratchit Family consists of Bob, Mrs. Cratchit, Tiny Tim, and their children, characterized by their strong familial bonds and love for one another despite financial struggles.""The Cratchit Family consists of Bob, Mrs. Cratchit, Tiny Tim, and their children, characterized by their strong familial bonds and love for one another despite financial struggles.""The Cratchit Family consists of Bob, Mrs. Cratchit, and their children, highlighting themes of familial love and support amidst hardship.""The Cratchit Family is a close-knit family depicted in the text, characterized by love and warmth, celebrating Christmas together despite their difficulties.""The Cratchit Family represents a typical struggling family in the text, highlighting the theme of social disparity during Christmas.""The Cratchit Family is a close-knit family depicted in the text, characterized by love and warmth, celebrating Christmas together despite their difficulties.""The Cratchit Family represents a typical struggling family in the text, highlighting the theme of social disparity during Christmas.""The Cratchit Family is a close-knit family depicted in the text, characterized by love and warmth, celebrating Christmas together despite their difficulties.""The Cratchit Family represents a typical struggling family in the text, highlighting the theme of social disparity during Christmas.""The Cratchit Family is a close-knit family depicted in the text, characterized by love and warmth, celebrating Christmas together despite their difficulties.""The Cratchit Family represents a typical struggling family in the text, highlighting the theme of social disparity during Christmas.""The Cratchit Family is a close-knit family depicted in the text, characterized by love and warmth, celebrating Christmas together despite their difficulties.""The Cratchit Family represents a typical struggling family in the text, highlighting the theme of social disparity during Christmas."', 'source_id': 'chunk-503f0bfa5453467c7c61d160a3540ecachunk-90d5764e301321c087f5a8f78b73a145chunk-1d4b58de5429cd1261370c231c8673e8'}> -2024-10-30 06:52:31,842 - lightrag - INFO - get_node:query:MATCH (n:`TINY TIM`) RETURN n:result:chunk-19d72c57ae3408758b18d2568e86dc6bchunk-503f0bfa5453467c7c61d160a3540ecachunk-91572b3cd42786ba4cb2f180ca25cbf4chunk-9e3921da66da5d761ab73cd849af6c43chunk-8f738cb25d60a7dab782162d9d0a25edchunk-94bea83e7153fc2064aa382b494936a1chunk-83ac129dc9b56f84c46760d153d68e93chunk-7e2e7ebcc19a53b399dc03aded4743e7chunk-1d4b58de5429cd1261370c231c8673e8'}> -2024-10-30 06:52:31,932 - lightrag - INFO - get_node:query:MATCH (n:`BOB CRATCHIT`) RETURN n:result:chunk-90b95db5c53e4364a6bee36b7aa4d70fchunk-d9aac3484185ac66045df92214d245d5chunk-19d72c57ae3408758b18d2568e86dc6bchunk-503f0bfa5453467c7c61d160a3540ecachunk-91572b3cd42786ba4cb2f180ca25cbf4chunk-9e3921da66da5d761ab73cd849af6c43chunk-94bea83e7153fc2064aa382b494936a1chunk-83ac129dc9b56f84c46760d153d68e93chunk-7e2e7ebcc19a53b399dc03aded4743e7chunk-1d4b58de5429cd1261370c231c8673e8'}> -2024-10-30 06:52:32,063 - lightrag - INFO - _find_node_degree:query: - MATCH (n:`TIME`) - RETURN COUNT{ (n)--() } AS totalEdgeCount - :result:0 -2024-10-30 06:52:32,229 - lightrag - INFO - _find_node_degree:query: - MATCH (n:`THE DEATH`) - RETURN COUNT{ (n)--() } AS totalEdgeCount - :result:0 -2024-10-30 06:52:32,398 - lightrag - INFO - _find_node_degree:query: - MATCH (n:`THE EVENT OF DEATH`) - RETURN COUNT{ (n)--() } AS totalEdgeCount - :result:1 -2024-10-30 06:52:32,568 - lightrag - INFO - _find_node_degree:query: - MATCH (n:`THE TOWN`) - RETURN COUNT{ (n)--() } AS totalEdgeCount - :result:1 -2024-10-30 06:52:32,738 - lightrag - INFO - _find_node_degree:query: - MATCH (n:`CHRISTMAS`) - RETURN COUNT{ (n)--() } AS totalEdgeCount - :result:25 -2024-10-30 06:52:32,908 - lightrag - INFO - _find_node_degree:query: - MATCH (n:`HOPE`) - RETURN COUNT{ (n)--() } AS totalEdgeCount - :result:2 -2024-10-30 06:52:33,085 - lightrag - INFO - _find_node_degree:query: - MATCH (n:`CLOCK'S STRIKE`) - RETURN COUNT{ (n)--() } AS totalEdgeCount - :result:0 -2024-10-30 06:52:33,250 - lightrag - INFO - _find_node_degree:query: - MATCH (n:`THE COLD AIR`) - RETURN COUNT{ (n)--() } AS totalEdgeCount - :result:0 -2024-10-30 06:52:33,418 - lightrag - INFO - _find_node_degree:query: - MATCH (n:`THE STOLEN GOODS`) - RETURN COUNT{ (n)--() } AS totalEdgeCount - :result:0 -2024-10-30 06:52:33,588 - lightrag - INFO - _find_node_degree:query: - MATCH (n:`THE SPECTRE`) - RETURN COUNT{ (n)--() } AS totalEdgeCount - :result:0 -2024-10-30 06:52:33,756 - lightrag - INFO - _find_node_degree:query: - MATCH (n:`DEATH`) - RETURN COUNT{ (n)--() } AS totalEdgeCount - :result:4 -2024-10-30 06:52:33,925 - lightrag - INFO - _find_node_degree:query: - MATCH (n:`THE BED`) - RETURN COUNT{ (n)--() } AS totalEdgeCount - :result:2 -2024-10-30 06:52:34,093 - lightrag - INFO - _find_node_degree:query: - MATCH (n:`JUDGMENT`) - RETURN COUNT{ (n)--() } AS totalEdgeCount - :result:0 -2024-10-30 06:52:34,264 - lightrag - INFO - _find_node_degree:query: - MATCH (n:`CLOCK`) - RETURN COUNT{ (n)--() } AS totalEdgeCount - :result:1 -2024-10-30 06:52:34,434 - lightrag - INFO - _find_node_degree:query: - MATCH (n:`SCROOGE`) - RETURN COUNT{ (n)--() } AS totalEdgeCount - :result:151 -2024-10-30 06:52:34,601 - lightrag - INFO - _find_node_degree:query: - MATCH (n:`THE MEETING`) - RETURN COUNT{ (n)--() } AS totalEdgeCount - :result:0 -2024-10-30 06:52:34,777 - lightrag - INFO - _find_node_degree:query: - MATCH (n:`THE GHOST`) - RETURN COUNT{ (n)--() } AS totalEdgeCount - :result:6 -2024-10-30 06:52:34,955 - lightrag - INFO - _find_node_degree:query: - MATCH (n:`MARLEY`) - RETURN COUNT{ (n)--() } AS totalEdgeCount - :result:5 -2024-10-30 06:52:35,131 - lightrag - INFO - _find_node_degree:query: - MATCH (n:`THE BUNDLE`) - RETURN COUNT{ (n)--() } AS totalEdgeCount - :result:1 -2024-10-30 06:52:35,303 - lightrag - INFO - _find_node_degree:query: - MATCH (n:`THE RAGS`) - RETURN COUNT{ (n)--() } AS totalEdgeCount - :result:0 -2024-10-30 06:52:35,470 - lightrag - INFO - _find_node_degree:query: - MATCH (n:`SNOW`) - RETURN COUNT{ (n)--() } AS totalEdgeCount - :result:0 -2024-10-30 06:52:35,643 - lightrag - INFO - _find_node_degree:query: - MATCH (n:`THE FUNERAL`) - RETURN COUNT{ (n)--() } AS totalEdgeCount - :result:2 -2024-10-30 06:52:35,815 - lightrag - INFO - _find_node_degree:query: - MATCH (n:`MARTHA`) - RETURN COUNT{ (n)--() } AS totalEdgeCount - :result:5 -2024-10-30 06:52:35,985 - lightrag - INFO - _find_node_degree:query: - MATCH (n:`THE MOTHER`) - RETURN COUNT{ (n)--() } AS totalEdgeCount - :result:5 -2024-10-30 06:52:36,161 - lightrag - INFO - _find_node_degree:query: - MATCH (n:`DING DONG`) - RETURN COUNT{ (n)--() } AS totalEdgeCount - :result:0 -2024-10-30 06:52:36,335 - lightrag - INFO - _find_node_degree:query: - MATCH (n:`THE HOUSE`) - RETURN COUNT{ (n)--() } AS totalEdgeCount - :result:2 -2024-10-30 06:52:36,500 - lightrag - INFO - _find_node_degree:query: - MATCH (n:`THE DEBT`) - RETURN COUNT{ (n)--() } AS totalEdgeCount - :result:1 -2024-10-30 06:52:36,671 - lightrag - INFO - _find_node_degree:query: - MATCH (n:`COLD`) - RETURN COUNT{ (n)--() } AS totalEdgeCount - :result:0 -2024-10-30 06:52:36,841 - lightrag - INFO - _find_node_degree:query: - MATCH (n:`THE FOG AND FROST`) - RETURN COUNT{ (n)--() } AS totalEdgeCount - :result:2 -2024-10-30 06:52:37,011 - lightrag - INFO - _find_node_degree:query: - MATCH (n:`LONDON`) - RETURN COUNT{ (n)--() } AS totalEdgeCount - :result:1 -2024-10-30 06:52:37,182 - lightrag - INFO - _find_node_degree:query: - MATCH (n:`CITY`) - RETURN COUNT{ (n)--() } AS totalEdgeCount - :result:2 -2024-10-30 06:52:37,352 - lightrag - INFO - _find_node_degree:query: - MATCH (n:`THE DYING FLAME`) - RETURN COUNT{ (n)--() } AS totalEdgeCount - :result:1 -2024-10-30 06:52:37,523 - lightrag - INFO - _find_node_degree:query: - MATCH (n:`THE PHANTOM`) - RETURN COUNT{ (n)--() } AS totalEdgeCount - :result:2 -2024-10-30 06:52:37,692 - lightrag - INFO - _find_node_degree:query: - MATCH (n:`JOE`) - RETURN COUNT{ (n)--() } AS totalEdgeCount - :result:3 -2024-10-30 06:52:37,863 - lightrag - INFO - _find_node_degree:query: - MATCH (n:`WINDING RIVER`) - RETURN COUNT{ (n)--() } AS totalEdgeCount - :result:1 -2024-10-30 06:52:38,037 - lightrag - INFO - _find_node_degree:query: - MATCH (n:`SPECTRE`) - RETURN COUNT{ (n)--() } AS totalEdgeCount - :result:1 -2024-10-30 06:52:38,206 - lightrag - INFO - _find_node_degree:query: - MATCH (n:`THE VISION`) - RETURN COUNT{ (n)--() } AS totalEdgeCount - :result:0 -2024-10-30 06:52:38,374 - lightrag - INFO - _find_node_degree:query: - MATCH (n:`THE FAMILY`) - RETURN COUNT{ (n)--() } AS totalEdgeCount - :result:1 -2024-10-30 06:52:38,542 - lightrag - INFO - _find_node_degree:query: - MATCH (n:`THE ACCUSATION`) - RETURN COUNT{ (n)--() } AS totalEdgeCount - :result:0 -2024-10-30 06:52:38,711 - lightrag - INFO - _find_node_degree:query: - MATCH (n:`CRATCHIT FAMILY`) - RETURN COUNT{ (n)--() } AS totalEdgeCount - :result:13 -2024-10-30 06:52:38,882 - lightrag - INFO - _find_node_degree:query: - MATCH (n:`THE CHAIN`) - RETURN COUNT{ (n)--() } AS totalEdgeCount - :result:1 -2024-10-30 06:52:39,053 - lightrag - INFO - _find_node_degree:query: - MATCH (n:`THE CLOCK`) - RETURN COUNT{ (n)--() } AS totalEdgeCount - :result:2 -2024-10-30 06:52:39,224 - lightrag - INFO - _find_node_degree:query: - MATCH (n:`SPIRIT`) - RETURN COUNT{ (n)--() } AS totalEdgeCount - :result:13 -2024-10-30 06:52:39,388 - lightrag - INFO - _find_node_degree:query: - MATCH (n:`DINNER`) - RETURN COUNT{ (n)--() } AS totalEdgeCount - :result:1 -2024-10-30 06:52:39,553 - lightrag - INFO - _find_node_degree:query: - MATCH (n:`THE SHOP`) - RETURN COUNT{ (n)--() } AS totalEdgeCount - :result:1 -2024-10-30 06:52:39,729 - lightrag - INFO - _find_node_degree:query: - MATCH (n:`THE COUNTESS`) - RETURN COUNT{ (n)--() } AS totalEdgeCount - :result:2 -2024-10-30 06:52:39,896 - lightrag - INFO - _find_node_degree:query: - MATCH (n:`MISCELLANEOUS TATTERS`) - RETURN COUNT{ (n)--() } AS totalEdgeCount - :result:0 -2024-10-30 06:52:40,065 - lightrag - INFO - _find_node_degree:query: - MATCH (n:`THE WAVE`) - RETURN COUNT{ (n)--() } AS totalEdgeCount - :result:1 -2024-10-30 06:52:40,233 - lightrag - INFO - _find_node_degree:query: - MATCH (n:`HAPPINESS`) - RETURN COUNT{ (n)--() } AS totalEdgeCount - :result:1 -2024-10-30 06:52:40,407 - lightrag - INFO - _find_node_degree:query: - MATCH (n:`THE GHOST OF MARLEY`) - RETURN COUNT{ (n)--() } AS totalEdgeCount - :result:1 -2024-10-30 06:52:40,577 - lightrag - INFO - _find_node_degree:query: - MATCH (n:`COLD WEATHER`) - RETURN COUNT{ (n)--() } AS totalEdgeCount - :result:1 -2024-10-30 06:52:40,748 - lightrag - INFO - _find_node_degree:query: - MATCH (n:`MERRIMENT`) - RETURN COUNT{ (n)--() } AS totalEdgeCount - :result:0 -2024-10-30 06:52:40,920 - lightrag - INFO - _find_node_degree:query: - MATCH (n:`WANT`) - RETURN COUNT{ (n)--() } AS totalEdgeCount - :result:2 -2024-10-30 06:52:41,090 - lightrag - INFO - _find_node_degree:query: - MATCH (n:`THE SCHOOL`) - RETURN COUNT{ (n)--() } AS totalEdgeCount - :result:0 -2024-10-30 06:52:41,259 - lightrag - INFO - _find_node_degree:query: - MATCH (n:`THE DARK ROOM`) - RETURN COUNT{ (n)--() } AS totalEdgeCount - :result:0 -2024-10-30 06:52:41,433 - lightrag - INFO - _find_node_degree:query: - MATCH (n:`CAROLINE`) - RETURN COUNT{ (n)--() } AS totalEdgeCount - :result:3 -2024-10-30 06:52:41,603 - lightrag - INFO - _find_node_degree:query: - MATCH (n:`EVENING`) - RETURN COUNT{ (n)--() } AS totalEdgeCount - :result:0 -2024-10-30 06:52:41,772 - lightrag - INFO - _find_node_degree:query: - MATCH (n:`THE CRATCHIT FAMILY`) - RETURN COUNT{ (n)--() } AS totalEdgeCount - :result:2 -2024-10-30 06:52:41,944 - lightrag - INFO - _find_node_degree:query: - MATCH (n:`TINY TIM`) - RETURN COUNT{ (n)--() } AS totalEdgeCount - :result:12 -2024-10-30 06:52:42,117 - lightrag - INFO - _find_node_degree:query: - MATCH (n:`BOB CRATCHIT`) - RETURN COUNT{ (n)--() } AS totalEdgeCount - :result:21 -2024-10-30 06:52:52,843 - lightrag - INFO - get_node:query:MATCH (n:`MARLEY`) RETURN n:result:"Marley is Scrooge\'s deceased business partner whose presence looms over the story, symbolizing the consequences of a life similar to Scrooge\'s.""Marley is Scrooge\'s deceased business partner, whose death is a significant event that sets the tone for the story.""Marley is Scrooge\'s deceased business partner, whose death is mentioned as impactful, having passed seven years prior to the events in the text.""Marley is depicted as a ghost, having a pigtail, waistcoat, tights, and boots, and is central to Scrooge\'s haunting experience."Marley is Scrooge\'s deceased business partner, whose presence looms over the narrative of the story, symbolizing the dire consequences of a life lived without compassion and care for others. His death serves as a significant event that sets the tone for the plot and reflects the overarching themes of regret and the supernatural.\n\nMarley passed away seven years prior to the events depicted, making his spectral appearance even more impactful. Despite being a character who is only mentioned throughout much of the story, his influence on Scrooge is profound, as reflections and memories of Marley shape Scrooge\'s perspective on life and relationships. This ghostly figure is depicted distinctly with a pigtail, waistcoat, tights, and boots, making him central to Scrooge\'s haunting experience.\n\nOverall, Marley represents the weight of past actions and the importance of empathy, acting as a harbinger of transformation for Scrooge. His ghostly manifestation evokes both fear and introspection, ultimately contributing to the moral lessons embedded in the tale."Marley is Scrooge\'s deceased business partner, whose death is a significant event that sets the tone for the story.""Marley is Scrooge\'s deceased business partner, whose death is mentioned as impactful, having passed seven years prior to the events in the text.""Marley is depicted as a ghost, having a pigtail, waistcoat, tights, and boots, and is central to Scrooge\'s haunting experience."', 'source_id': 'chunk-5dac41b3f9eeaf794f0147400b1718cdchunk-89777b838d5447c7bd1ec11282c4ee89chunk-d9aac3484185ac66045df92214d245d5chunk-9c43dac2fcd5b578242d907ea6f8fc7bchunk-843b5b2f944c7413d9ca876e2e2f151f'}> -2024-10-30 06:52:52,931 - lightrag - INFO - get_node:query:MATCH (n:`THE CITY`) RETURN n:result:"The City represents the bustling urban environment where Scrooge reflects on his past, filled with activity and shadowy figures.""The City, from which Scrooge is transported, represents his past life and is contrasted with the open country road that signifies his memories.""The City refers to the broader urban environment in which Scrooge operates and signifies the societal norms and attitudes towards Christmas.""The City represents the bustling urban environment where Scrooge\'s memories unfold, highlighting the contrast between his past and present.""The City refers to the broader urban environment in which Scrooge operates and signifies the societal norms and attitudes towards Christmas.""The City represents the bustling urban environment where Scrooge\'s memories unfold, highlighting the contrast between his past and present.""The City refers to the broader urban environment in which Scrooge operates and signifies the societal norms and attitudes towards Christmas.""The City represents the bustling urban environment where Scrooge\'s memories unfold, highlighting the contrast between his past and present.""The City refers to the broader urban environment in which Scrooge operates and signifies the societal norms and attitudes towards Christmas.""The City represents the bustling urban environment where Scrooge\'s memories unfold, highlighting the contrast between his past and present.""The City refers to the broader urban environment in which Scrooge operates and signifies the societal norms and attitudes towards Christmas.""The City represents the bustling urban environment where Scrooge\'s memories unfold, highlighting the contrast between his past and present."', 'source_id': 'chunk-74e2466de2f67fd710ef2f20c0a8d9e0chunk-c6c248858d1b13ab7ee9ca13c1aeed6bchunk-94bea83e7153fc2064aa382b494936a1chunk-bb21d58d36c6306fd8810ddd51c4a971'}> -2024-10-30 06:52:53,019 - lightrag - INFO - get_node:query:MATCH (n:`BEDLAM`) RETURN n:result:"Bedlam is referenced as a metaphorical expression of madness, illustrating Scrooge\'s disdain for cheerful attitudes he finds absurd.""Bedlam is referenced as a metaphorical expression of madness, illustrating Scrooge\'s disdain for cheerful attitudes he finds absurd.""Bedlam is referenced as a metaphorical expression of madness, illustrating Scrooge\'s disdain for cheerful attitudes he finds absurd.""Bedlam is referenced as a metaphorical expression of madness, illustrating Scrooge\'s disdain for cheerful attitudes he finds absurd.""Bedlam is referenced as a metaphorical place for madness, illustrating Scrooge\'s disdain for the cheerful nature of Christmas and his sense of isolation."', 'source_id': 'chunk-5dac41b3f9eeaf794f0147400b1718cd'}> -2024-10-30 06:52:53,108 - lightrag - INFO - get_node:query:MATCH (n:`MASTER PETER CRATCHIT`) RETURN n:result: -2024-10-30 06:52:53,197 - lightrag - INFO - get_node:query:MATCH (n:`VALENTINE`) RETURN n:result:"Valentine is mentioned as a character associated with Scrooge\'s childhood memories, indicating the depth of his nostalgia.""Valentine is mentioned as a character associated with Scrooge\'s childhood memories, indicating the depth of his nostalgia.""Valentine is mentioned as a character associated with Scrooge\'s childhood memories, indicating the depth of his nostalgia.""Valentine is mentioned as a character associated with Scrooge\'s childhood memories, indicating the depth of his nostalgia.""Valentine is referenced as a brother of a character, and his presence contributes to the holiday memories Scrooge recalls."', 'source_id': 'chunk-8590d9263cd2cd4fa583c432fc54e6c3'}> -2024-10-30 06:52:53,286 - lightrag - INFO - get_node:query:MATCH (n:`BRIDGE`) RETURN n:result: -2024-10-30 06:52:53,373 - lightrag - INFO - get_node:query:MATCH (n:`FROST`) RETURN n:result: -2024-10-30 06:52:53,461 - lightrag - INFO - get_node:query:MATCH (n:`THE CHRISTMAS DINNER`) RETURN n:result: -2024-10-30 06:52:53,546 - lightrag - INFO - get_node:query:MATCH (n:`THE POULTERER'S`) RETURN n:result:"The Poulterer\'s is a shop mentioned by Scrooge, relevant in the context of his generous actions towards the Cratchit family.""The Poulterer\'s is a shop mentioned by Scrooge, relevant in the context of his generous actions towards the Cratchit family.""The Poulterer\'s is a shop mentioned by Scrooge, relevant in the context of his generous actions towards the Cratchit family.""The Poulterer\'s is a shop mentioned by Scrooge, relevant in the context of his generous actions towards the Cratchit family.""The Poulterer\'s is a shop where Scrooge intends to buy a turkey for the Cratchit family."', 'source_id': 'chunk-90b95db5c53e4364a6bee36b7aa4d70f'}> -2024-10-30 06:52:53,631 - lightrag - INFO - get_node:query:MATCH (n:`CHRISTMAS CAROL`) RETURN n:result:"The Christmas Carol is a musical tradition performed during the Christmas season, symbolizing goodwill and festive spirit."', 'source_id': 'chunk-90d5764e301321c087f5a8f78b73a145chunk-8590d9263cd2cd4fa583c432fc54e6c3'}> -2024-10-30 06:52:53,725 - lightrag - INFO - get_node:query:MATCH (n:`JOE`) RETURN n:result:"Joe is a marine-store dealer depicted as receiving stolen goods, illustrating the consequences of crime and the darker sides of society.""Joe is portrayed as a character engaged in a conversation about the deceased, displaying a mix of humor and practicality in dealing with the possessions of the dead.""Joe is a character who interacts with others, demonstrating a sense of curiosity and disbelief regarding certain situations and comments.""Joe is a marine-store dealer and receiver of stolen goods, indicative of the darker, more unscrupulous elements of society.""Joe is an old character who engages in conversation about the deceased man\'s belongings, revealing his pragmatic and somewhat cynical perspective on life and death.""Joe is a character who interacts with others, demonstrating a sense of curiosity and disbelief regarding certain situations and comments.""Joe is a marine-store dealer and receiver of stolen goods, indicative of the darker, more unscrupulous elements of society.""Joe is an old character who engages in conversation about the deceased man\'s belongings, revealing his pragmatic and somewhat cynical perspective on life and death.""Joe is a character who interacts with others, demonstrating a sense of curiosity and disbelief regarding certain situations and comments.""Joe is a marine-store dealer and receiver of stolen goods, indicative of the darker, more unscrupulous elements of society.""Joe is an old character who engages in conversation about the deceased man\'s belongings, revealing his pragmatic and somewhat cynical perspective on life and death.""Joe is a character who interacts with others, demonstrating a sense of curiosity and disbelief regarding certain situations and comments.""Joe is a marine-store dealer and receiver of stolen goods, indicative of the darker, more unscrupulous elements of society.""Joe is an old character who engages in conversation about the deceased man\'s belongings, revealing his pragmatic and somewhat cynical perspective on life and death.""Joe is a character who interacts with others, demonstrating a sense of curiosity and disbelief regarding certain situations and comments.""Joe is a marine-store dealer and receiver of stolen goods, indicative of the darker, more unscrupulous elements of society.""Joe is an old character who engages in conversation about the deceased man\'s belongings, revealing his pragmatic and somewhat cynical perspective on life and death."', 'source_id': 'chunk-e1f29eeadc1d8ab46dc8a0bbd3c56b64chunk-9e3921da66da5d761ab73cd849af6c43chunk-89777b838d5447c7bd1ec11282c4ee89'}> -2024-10-30 06:52:53,809 - lightrag - INFO - get_node:query:MATCH (n:`SCROOGE'S NIECE`) RETURN n:result:"Scrooge\'s Niece is a lively character who expresses indignation towards Scrooge\'s disdain for Christmas and embodies warmth and charm, showing affection and concern for family.""Scrooge\'s Niece is a lively character who expresses indignation towards Scrooge\'s disdain for Christmas and embodies warmth and charm, showing affection and concern for family.""Scrooge\'s Niece is a lively character who expresses indignation towards Scrooge\'s disdain for Christmas and embodies warmth and charm, showing affection and concern for family.""Scrooge\'s Niece is a lively character who expresses indignation towards Scrooge\'s disdain for Christmas and embodies warmth and charm, showing affection and concern for family.""Scrooge\'s Niece is depicted as a beautiful and lively character who expresses strong opinions about her uncle Scrooge.""Scrooge\'s niece is depicted as a joyful participant in the evening\'s festivities, engaging in games and music.""Scrooge\'s niece is a central figure in the family gathering, enjoying the festivities and games, showing a loving and vibrant personality.""Scrooge\'s niece is a central figure in the family gathering, enjoying the festivities and games, showing a loving and vibrant personality.""Scrooge\'s niece is a central figure in the family gathering, enjoying the festivities and games, showing a loving and vibrant personality.""Scrooge\'s niece is a central figure in the family gathering, enjoying the festivities and games, showing a loving and vibrant personality.""Scrooge\'s niece is a central figure in the family gathering, enjoying the festivities and games, showing a loving and vibrant personality."', 'source_id': 'chunk-773d0df1dd25c356f7b771d780583e09chunk-43c9bee23adfa77aa9dedd22401bba7d'}> -2024-10-30 06:52:53,895 - lightrag - INFO - get_node:query:MATCH (n:`THE CLERK`) RETURN n:result:"The Clerk is an employee of Scrooge, who quietly awaits the end of the workday and represents the working class.""The Clerk works in Scrooge\'s counting-house, depicted as miserable and diminished under Scrooge\'s strict management."', 'source_id': 'chunk-90d5764e301321c087f5a8f78b73a145chunk-74e2466de2f67fd710ef2f20c0a8d9e0chunk-5dac41b3f9eeaf794f0147400b1718cd'}> -2024-10-30 06:52:53,982 - lightrag - INFO - get_node:query:MATCH (n:`THE LORD`) RETURN n:result:"The Lord is referenced in Martha\'s account of her work, underscoring the contrast between the Cratchit family\'s modest means and the nobility.""The Lord is referenced in Martha\'s account of her work, underscoring the contrast between the Cratchit family\'s modest means and the nobility.""The Lord is referenced in Martha\'s account of her work, underscoring the contrast between the Cratchit family\'s modest means and the nobility.""The Lord is referenced in Martha\'s account of her work, underscoring the contrast between the Cratchit family\'s modest means and the nobility.""The Lord is referenced in Martha\'s account of her work, underscoring the contrast between the Cratchit family\'s modest means and the nobility."', 'source_id': 'chunk-19d72c57ae3408758b18d2568e86dc6b'}> -2024-10-30 06:52:54,069 - lightrag - INFO - get_node:query:MATCH (n:`THE SHIP`) RETURN n:result:"The Ship is a vessel where the crew shares moments of kindness and reflection during Christmas, symbolizing unity and camaraderie.""The Ship is a vessel where the crew shares moments of kindness and reflection during Christmas, symbolizing unity and camaraderie.""The Ship is a vessel where the crew shares moments of kindness and reflection during Christmas, symbolizing unity and camaraderie.""The Ship is a vessel where the crew shares moments of kindness and reflection during Christmas, symbolizing unity and camaraderie.""The Ship is described as a vessel on the open sea, where the crew reflects on Christmas, showcasing camaraderie and a sense of belonging."', 'source_id': 'chunk-91614df5cb74cbe5e109a338a82041e9'}> -2024-10-30 06:52:54,158 - lightrag - INFO - get_node:query:MATCH (n:`TINY TIM`) RETURN n:result:chunk-19d72c57ae3408758b18d2568e86dc6bchunk-503f0bfa5453467c7c61d160a3540ecachunk-91572b3cd42786ba4cb2f180ca25cbf4chunk-9e3921da66da5d761ab73cd849af6c43chunk-8f738cb25d60a7dab782162d9d0a25edchunk-94bea83e7153fc2064aa382b494936a1chunk-83ac129dc9b56f84c46760d153d68e93chunk-7e2e7ebcc19a53b399dc03aded4743e7chunk-1d4b58de5429cd1261370c231c8673e8'}> -2024-10-30 06:52:54,247 - lightrag - INFO - get_node:query:MATCH (n:`SMOKING BISHOP`) RETURN n:result: -2024-10-30 06:52:54,336 - lightrag - INFO - get_node:query:MATCH (n:`FRIDAY`) RETURN n:result:"Friday is another character from the story of Robin Crusoe, noted in Scrooge\'s memories, indicating the impact of literature on his nostalgia.""Friday is another character from the story of Robin Crusoe, noted in Scrooge\'s memories, indicating the impact of literature on his nostalgia.""Friday is another character from the story of Robin Crusoe, noted in Scrooge\'s memories, indicating the impact of literature on his nostalgia.""Friday is another character from the story of Robin Crusoe, noted in Scrooge\'s memories, indicating the impact of literature on his nostalgia.""Friday is another character from the story of Robin Crusoe, noted in Scrooge\'s memories, indicating the impact of literature on his nostalgia."', 'source_id': 'chunk-8590d9263cd2cd4fa583c432fc54e6c3'}> -2024-10-30 06:52:54,424 - lightrag - INFO - get_node:query:MATCH (n:`LITTLE FAN`) RETURN n:result: -2024-10-30 06:52:54,508 - lightrag - INFO - get_node:query:MATCH (n:`GROCERS'`) RETURN n:result: -2024-10-30 06:52:54,595 - lightrag - INFO - get_node:query:MATCH (n:`OLD SCROOGE`) RETURN n:result: -2024-10-30 06:52:54,682 - lightrag - INFO - get_node:query:MATCH (n:`SUNDAY CLOTHES BOY`) RETURN n:result: -2024-10-30 06:52:54,769 - lightrag - INFO - get_node:query:MATCH (n:`THE LOW-BROWED SHOP`) RETURN n:result:"The Low-Browed Shop is a grim establishment in the town dealing in various unwanted goods, representing decay and desperation.""The Low-Browed Shop is a grim establishment in the town dealing in various unwanted goods, representing decay and desperation.""The Low-Browed Shop is a grim establishment in the town dealing in various unwanted goods, representing decay and desperation.""The Low-Browed Shop is a grim establishment in the town dealing in various unwanted goods, representing decay and desperation.""The Low-Browed Shop is a setting that symbolizes neglect and degradation, filled with discarded items and representing societal decay."', 'source_id': 'chunk-f1a4fbcf1ed86864b9bfd5e8dba4c683'}> -2024-10-30 06:52:54,857 - lightrag - INFO - get_node:query:MATCH (n:`WANT`) RETURN n:result:"Want is represented as the second child shown by the Spirit, symbolizing the dire social conditions and needs of the impoverished.""Want represents another societal failing, portrayed as a girl, symbolizing deprivation and yearning for basic needs.""Want is represented as the second child shown by the Spirit, symbolizing the dire social conditions and needs of the impoverished.""Want represents another societal failing, portrayed as a girl, symbolizing deprivation and yearning for basic needs.""Want is represented as the second child shown by the Spirit, symbolizing the dire social conditions and needs of the impoverished.""Want represents another societal failing, portrayed as a girl, symbolizing deprivation and yearning for basic needs.""Want is represented as the second child shown by the Spirit, symbolizing the dire social conditions and needs of the impoverished.""Want represents another societal failing, portrayed as a girl, symbolizing deprivation and yearning for basic needs.""Want is represented as the second child shown by the Spirit, symbolizing the dire social conditions and needs of the impoverished.""Want represents another societal failing, portrayed as a girl, symbolizing deprivation and yearning for basic needs."', 'source_id': 'chunk-02baee20cc9463dbe08170a8e1043e32chunk-e7637ff18c5ded77a68cce0a87883fad'}> -2024-10-30 06:52:54,945 - lightrag - INFO - get_node:query:MATCH (n:`THE FOG AND FROST`) RETURN n:result: -2024-10-30 06:52:55,030 - lightrag - INFO - get_node:query:MATCH (n:`FOG`) RETURN n:result:"Fog is a weather phenomenon that adds to the bleak atmosphere, reflecting the obscurity and confusion in Scrooge\'s life.""Fog represents the obscured visibility and confusion in Scrooge\'s surroundings, enhancing the atmosphere of uncertainty and apprehension.""Fog represents the obscurity and isolation in the environment, mirroring Scrooge’s emotional distance and isolation from society.""Fog represents the obscured visibility and confusion in Scrooge\'s surroundings, enhancing the atmosphere of uncertainty and apprehension.""Fog represents the obscurity and isolation in the environment, mirroring Scrooge’s emotional distance and isolation from society.""Fog represents the obscured visibility and confusion in Scrooge\'s surroundings, enhancing the atmosphere of uncertainty and apprehension.""Fog represents the obscurity and isolation in the environment, mirroring Scrooge’s emotional distance and isolation from society.""Fog represents the obscured visibility and confusion in Scrooge\'s surroundings, enhancing the atmosphere of uncertainty and apprehension.""Fog represents the obscurity and isolation in the environment, mirroring Scrooge’s emotional distance and isolation from society.""Fog represents the obscured visibility and confusion in Scrooge\'s surroundings, enhancing the atmosphere of uncertainty and apprehension.""Fog represents the obscurity and isolation in the environment, mirroring Scrooge’s emotional distance and isolation from society."', 'source_id': 'chunk-c7b10789a9cb0af6c553730b29bd9034chunk-d9aac3484185ac66045df92214d245d5chunk-74e2466de2f67fd710ef2f20c0a8d9e0'}> -2024-10-30 06:52:55,118 - lightrag - INFO - get_node:query:MATCH (n:`THE WINDOW`) RETURN n:result:"The Window is a physical presence in Scrooge\'s chamber that he approaches to observe the supernatural occurrences outside.""The Window is a physical presence in Scrooge\'s chamber that he approaches to observe the supernatural occurrences outside.""The Window is a physical presence in Scrooge\'s chamber that he approaches to observe the supernatural occurrences outside.""The Window is a physical presence in Scrooge\'s chamber that he approaches to observe the supernatural occurrences outside.""The Window represents a threshold between the visible and invisible worlds, allowing Scrooge a view into the realm of spirits and their lamentations."', 'source_id': 'chunk-cb661c37436355ccec2769b1d0350c5f'}> -2024-10-30 06:52:55,208 - lightrag - INFO - get_node:query:MATCH (n:`BELLE`) RETURN n:result:"Belle is Scrooge\'s former love, evidence of care and affection, now mentioned in the context of Scrooge’s memories.""Belle is Scrooge\'s former love, evidence of care and affection, now mentioned in the context of Scrooge’s memories.""Belle is Scrooge\'s former love, evidence of care and affection, now mentioned in the context of Scrooge’s memories.""Belle is Scrooge\'s former love, evidence of care and affection, now mentioned in the context of Scrooge’s memories.""Belle is Scrooge\'s former love, evidence of care and affection, now mentioned in the context of Scrooge’s memories."', 'source_id': 'chunk-da2472b4ef2a535b62908f14d0fb0ca9'}> -2024-10-30 06:52:55,298 - lightrag - INFO - get_node:query:MATCH (n:`BOB`) RETURN n:result:"Bob is referenced humorously by Scrooge in the context of a joke regarding a large turkey.""Bob is likely referenced as a character who may receive the turkey sent by Scrooge, highlighting the theme of generosity.""Bob is likely referenced as a character who may receive the turkey sent by Scrooge, highlighting the theme of generosity.""Bob is likely referenced as a character who may receive the turkey sent by Scrooge, highlighting the theme of generosity.""Bob is likely referenced as a character who may receive the turkey sent by Scrooge, highlighting the theme of generosity.""Bob is likely referenced as a character who may receive the turkey sent by Scrooge, highlighting the theme of generosity."', 'source_id': 'chunk-91572b3cd42786ba4cb2f180ca25cbf4chunk-8f738cb25d60a7dab782162d9d0a25ed'}> -2024-10-30 06:52:55,385 - lightrag - INFO - get_node:query:MATCH (n:`FELLOW-BEINGS`) RETURN n:result: -2024-10-30 06:52:55,474 - lightrag - INFO - get_node:query:MATCH (n:`CHRISTMAS`) RETURN n:result:chunk-c6c248858d1b13ab7ee9ca13c1aeed6bchunk-99b0ec7f7e006561352b5d65e849611dchunk-02baee20cc9463dbe08170a8e1043e32chunk-503f0bfa5453467c7c61d160a3540ecachunk-91572b3cd42786ba4cb2f180ca25cbf4chunk-8f738cb25d60a7dab782162d9d0a25edchunk-94bea83e7153fc2064aa382b494936a1chunk-1d4b58de5429cd1261370c231c8673e8chunk-74e2466de2f67fd710ef2f20c0a8d9e0chunk-89777b838d5447c7bd1ec11282c4ee89chunk-90d5764e301321c087f5a8f78b73a145chunk-91614df5cb74cbe5e109a338a82041e9chunk-54bdd22db1f84a965b5f4c06c9216d8dchunk-773d0df1dd25c356f7b771d780583e09chunk-5dac41b3f9eeaf794f0147400b1718cdchunk-43c9bee23adfa77aa9dedd22401bba7dchunk-da2472b4ef2a535b62908f14d0fb0ca9chunk-8590d9263cd2cd4fa583c432fc54e6c3'}> -2024-10-30 06:52:55,558 - lightrag - INFO - get_node:query:MATCH (n:`SPIRIT OF CHRISTMAS PRESENT`) RETURN n:result: -2024-10-30 06:52:55,644 - lightrag - INFO - get_node:query:MATCH (n:`MRS. CRATCHIT`) RETURN n:result:"Mrs. Cratchit is Bob\'s wife, proud of her cooking skills, particularly the Christmas pudding, and plays a central role in the family\'s holiday celebration.""Mrs. Cratchit is Bob\'s wife, who expresses care for her family and shares in the emotional moments surrounding Tiny Tim\'s health.""Mrs. Cratchit is portrayed as outspoken and resentful towards Scrooge, yet ultimately participates in the Christmas festivities for her family\'s sake.""Mrs. Cratchit is the mother of the Cratchit family, depicted as nurturing and energetic, managing the Christmas preparations and caring for her children.""Mrs. Cratchit is the wife of Bob Cratchit, who supports her family and embodies warmth and resilience despite their struggles.""Mrs. Cratchit, the wife of Bob, is industrious and caring, focused on the well-being of her family."Mrs. Cratchit is Bob Cratchit\'s devoted and hardworking wife, who plays a vital role in nurturing their family. She is characterized by her strong dedication to creating a joyous atmosphere in their home, despite the financial difficulties they face. As the mother of the Cratchit family, Mrs. Cratchit is nurturing and energetic, diligently managing Christmas preparations and ensuring that her children are well taken care of.\n\nProud of her cooking skills, particularly her Christmas pudding, Mrs. Cratchit showcases her commitment to family traditions. During the holiday festivities, she is actively involved, embodying warmth and resilience as she prepares meals and engages in celebrations that lift her family’s spirits. Her love for her family is evident as she expresses concern for her children, especially Tiny Tim, whose health brings emotional depth to their Christmas gathering.\n\nWhile she is portrayed as outspoken and harboring resentment towards Scrooge, she ultimately puts aside her feelings to fully participate in the Christmas festivities for the sake of her family. Her character embodies a blend of strength and vulnerability, reflecting both her pride and her struggles, and she remains a pivotal figure in the family\'s emotional dynamics during the holiday season.', 'source_id': 'chunk-b0f459f5af1c3a5e0b92cbe4ee48b77bchunk-19d72c57ae3408758b18d2568e86dc6bchunk-503f0bfa5453467c7c61d160a3540ecachunk-91572b3cd42786ba4cb2f180ca25cbf4chunk-9e3921da66da5d761ab73cd849af6c43chunk-7e2e7ebcc19a53b399dc03aded4743e7chunk-1d4b58de5429cd1261370c231c8673e8'}> -2024-10-30 06:52:55,733 - lightrag - INFO - get_node:query:MATCH (n:`STREET`) RETURN n:result: -2024-10-30 06:52:55,819 - lightrag - INFO - get_node:query:MATCH (n:`THE PRESENT`) RETURN n:result:"The Present emphasizes the importance of living in the moment and embracing current opportunities for change.""The Present emphasizes the importance of living in the moment and embracing current opportunities for change.""The Present emphasizes the importance of living in the moment and embracing current opportunities for change.""The Present emphasizes the importance of living in the moment and embracing current opportunities for change.""The Present represents the current moment in Scrooge\'s life that he must recognize and change to achieve redemption."', 'source_id': 'chunk-91572b3cd42786ba4cb2f180ca25cbf4'}> -2024-10-30 06:52:55,907 - lightrag - INFO - get_node:query:MATCH (n:`THE HOUSE`) RETURN n:result:"The House is the setting for Scrooge\'s encounters, characterized by its darkness, the creaking sounds, and the presence of the ghost.""The House is the setting for Scrooge\'s encounters, characterized by its darkness, the creaking sounds, and the presence of the ghost.""The House is the setting for Scrooge\'s encounters, characterized by its darkness, the creaking sounds, and the presence of the ghost.""The House is the setting for Scrooge\'s encounters, characterized by its darkness, the creaking sounds, and the presence of the ghost.""The House is the setting for the Christmas celebration and interactions among the characters, embodying warmth and family togetherness.""The House is the setting where Scrooge experiences the haunting, with a description of its features contributing to the eerie atmosphere."', 'source_id': 'chunk-da2472b4ef2a535b62908f14d0fb0ca9chunk-9c43dac2fcd5b578242d907ea6f8fc7b'}> -2024-10-30 06:52:55,997 - lightrag - INFO - get_node:query:MATCH (n:`CLERK`) RETURN n:result:"The Clerk is a minor character who provides a contrast to Scrooge\'s character, expressing warmth and kindness during the holiday season.""The Clerk is a minor character who provides a contrast to Scrooge\'s character, expressing warmth and kindness during the holiday season.""The Clerk is a minor character who provides a contrast to Scrooge\'s character, expressing warmth and kindness during the holiday season.""The Clerk is a minor character who provides a contrast to Scrooge\'s character, expressing warmth and kindness during the holiday season.""The Clerk is an unnamed character who serves Scrooge, exhibiting a hopeful disposition despite Scrooge\'s ill-tempered management."', 'source_id': 'chunk-d9aac3484185ac66045df92214d245d5chunk-5dac41b3f9eeaf794f0147400b1718cd'}> -2024-10-30 06:52:56,090 - lightrag - INFO - get_node:query:MATCH (n:`THE LIGHTHOUSE`) RETURN n:result:"The Lighthouse serves as a solitary structure representing hope and guidance amid a stormy sea, populated by individuals celebrating Christmas.""The Lighthouse serves as a solitary structure representing hope and guidance amid a stormy sea, populated by individuals celebrating Christmas.""The Lighthouse serves as a solitary structure representing hope and guidance amid a stormy sea, populated by individuals celebrating Christmas.""The Lighthouse serves as a solitary structure representing hope and guidance amid a stormy sea, populated by individuals celebrating Christmas.""The Lighthouse serves as a solitary structure representing hope and guidance amid a stormy sea, populated by individuals celebrating Christmas."', 'source_id': 'chunk-91614df5cb74cbe5e109a338a82041e9'}> -2024-10-30 06:52:56,179 - lightrag - INFO - get_node:query:MATCH (n:`APPLES`) RETURN n:result: -2024-10-30 06:52:56,268 - lightrag - INFO - get_node:query:MATCH (n:`THE FUTURE`) RETURN n:result:"The Future represents the potential outcomes of Scrooge’s life choices, depicted through the visions shown by the Spirits.""The Future refers to the outcomes that Scrooge may face based on his current actions, raising themes of choice and consequence.""The Future refers to the outcomes that Scrooge may face based on his current actions, raising themes of choice and consequence.""The Future refers to the outcomes that Scrooge may face based on his current actions, raising themes of choice and consequence.""The Future refers to the outcomes that Scrooge may face based on his current actions, raising themes of choice and consequence.""The Future refers to the outcomes that Scrooge may face based on his current actions, raising themes of choice and consequence."', 'source_id': 'chunk-91572b3cd42786ba4cb2f180ca25cbf4chunk-02baee20cc9463dbe08170a8e1043e32'}> -2024-10-30 06:52:56,356 - lightrag - INFO - get_node:query:MATCH (n:`COURT`) RETURN n:result: -2024-10-30 06:52:56,448 - lightrag - INFO - get_node:query:MATCH (n:`BOB CRATCHIT`) RETURN n:result:chunk-90b95db5c53e4364a6bee36b7aa4d70fchunk-d9aac3484185ac66045df92214d245d5chunk-19d72c57ae3408758b18d2568e86dc6bchunk-503f0bfa5453467c7c61d160a3540ecachunk-91572b3cd42786ba4cb2f180ca25cbf4chunk-9e3921da66da5d761ab73cd849af6c43chunk-94bea83e7153fc2064aa382b494936a1chunk-83ac129dc9b56f84c46760d153d68e93chunk-7e2e7ebcc19a53b399dc03aded4743e7chunk-1d4b58de5429cd1261370c231c8673e8'}> -2024-10-30 06:52:56,535 - lightrag - INFO - get_node:query:MATCH (n:`RED-FACED GENTLEMAN`) RETURN n:result: -2024-10-30 06:52:56,620 - lightrag - INFO - get_node:query:MATCH (n:`BELINDA CRATCHIT`) RETURN n:result:"Belinda Cratchit is one of Bob Cratchit\'s daughters, assisting her mother in laying the dining cloth.""Belinda is a daughter of Bob and Mrs. Cratchit, representing the Cratchit family\'s love and unity during difficult times.""Belinda Cratchit is one of Bob\'s daughters, assisting in household tasks and showing a strong familial bond.""Belinda is the daughter of Bob and Mrs. Cratchit, representing the innocence and joyful spirit of the Cratchit family.""Belinda Cratchit is one of Bob\'s daughters, assisting in household tasks and showing a strong familial bond.""Belinda is the daughter of Bob and Mrs. Cratchit, representing the innocence and joyful spirit of the Cratchit family.""Belinda Cratchit is one of Bob\'s daughters, assisting in household tasks and showing a strong familial bond.""Belinda is the daughter of Bob and Mrs. Cratchit, representing the innocence and joyful spirit of the Cratchit family.""Belinda Cratchit is one of Bob\'s daughters, assisting in household tasks and showing a strong familial bond.""Belinda is the daughter of Bob and Mrs. Cratchit, representing the innocence and joyful spirit of the Cratchit family.""Belinda Cratchit is one of Bob\'s daughters, assisting in household tasks and showing a strong familial bond.""Belinda is the daughter of Bob and Mrs. Cratchit, representing the innocence and joyful spirit of the Cratchit family."', 'source_id': 'chunk-7e2e7ebcc19a53b399dc03aded4743e7chunk-9e3921da66da5d761ab73cd849af6c43chunk-b0f459f5af1c3a5e0b92cbe4ee48b77b'}> -2024-10-30 06:52:56,705 - lightrag - INFO - get_node:query:MATCH (n:`HOPE`) RETURN n:result:"Hope emerges as a central theme in the characters\' lives, particularly through Caroline\'s reaction to news about the husband and the family\'s future.""Hope emerges as a central theme in the characters\' lives, particularly through Caroline\'s reaction to news about the husband and the family\'s future.""Hope emerges as a central theme in the characters\' lives, particularly through Caroline\'s reaction to news about the husband and the family\'s future.""Hope emerges as a central theme in the characters\' lives, particularly through Caroline\'s reaction to news about the husband and the family\'s future.""Hope represents the aspirations and dreams that characters have, particularly in the context of the matron\'s optimistic nature.""Hope represents the aspirations and dreams that characters have, particularly in the context of the matron\'s optimistic nature.""Hope represents the aspirations and dreams that characters have, particularly in the context of the matron\'s optimistic nature.""Hope represents the aspirations and dreams that characters have, particularly in the context of the matron\'s optimistic nature.""Hope represents the aspirations and dreams that characters have, particularly in the context of the matron\'s optimistic nature."', 'source_id': 'chunk-54bdd22db1f84a965b5f4c06c9216d8dchunk-83ac129dc9b56f84c46760d153d68e93'}> -2024-10-30 06:52:56,792 - lightrag - INFO - get_node:query:MATCH (n:`THE CHURCH`) RETURN n:result:"The Church is a location from where the clock chimes are heard, marking the passage of time and contributing to the atmosphere of the scene.""The Church is a location from where the clock chimes are heard, marking the passage of time and contributing to the atmosphere of the scene.""The Church is a location from where the clock chimes are heard, marking the passage of time and contributing to the atmosphere of the scene.""The Church is a location from where the clock chimes are heard, marking the passage of time and contributing to the atmosphere of the scene.""The Church is a place Scrooge visits, indicating his desire to engage in the Christmas spirit and community.""The Church is a place referenced in the context of the community\'s sentiments toward Christmas and social welfare.""The Church is a place referenced in the context of the community\'s sentiments toward Christmas and social welfare.""The Church is a place referenced in the context of the community\'s sentiments toward Christmas and social welfare.""The Church is a place referenced in the context of the community\'s sentiments toward Christmas and social welfare.""The Church is a place referenced in the context of the community\'s sentiments toward Christmas and social welfare."', 'source_id': 'chunk-cb661c37436355ccec2769b1d0350c5fchunk-8f738cb25d60a7dab782162d9d0a25edchunk-90d5764e301321c087f5a8f78b73a145'}> -2024-10-30 06:52:56,881 - lightrag - INFO - get_node:query:MATCH (n:`THE GOLDEN IDOL`) RETURN n:result: -2024-10-30 06:52:56,969 - lightrag - INFO - get_node:query:MATCH (n:`EBENEZER SCROOGE`) RETURN n:result:chunk-c7b10789a9cb0af6c553730b29bd9034chunk-9e3921da66da5d761ab73cd849af6c43'}> -2024-10-30 06:52:57,053 - lightrag - INFO - get_node:query:MATCH (n:`PETER`) RETURN n:result:"Peter is one of the Cratchit children, who occasionally expresses a sense of duty and future aspirations, contributing to family discussions.""Peter is a son in the Cratchit family, responsible and calm, attempting to engage his siblings amidst a tense family situation and financial uncertainty.""Peter is the son of Bob and Mrs. Cratchit, showing concern and support for his father and siblings.""Peter is a son in the Cratchit family, responsible and calm, attempting to engage his siblings amidst a tense family situation and financial uncertainty.""Peter is the son of Bob and Mrs. Cratchit, showing concern and support for his father and siblings.""Peter is a son in the Cratchit family, responsible and calm, attempting to engage his siblings amidst a tense family situation and financial uncertainty.""Peter is the son of Bob and Mrs. Cratchit, showing concern and support for his father and siblings.""Peter is a son in the Cratchit family, responsible and calm, attempting to engage his siblings amidst a tense family situation and financial uncertainty.""Peter is the son of Bob and Mrs. Cratchit, showing concern and support for his father and siblings.""Peter is a son in the Cratchit family, responsible and calm, attempting to engage his siblings amidst a tense family situation and financial uncertainty.""Peter is the son of Bob and Mrs. Cratchit, showing concern and support for his father and siblings."', 'source_id': 'chunk-83ac129dc9b56f84c46760d153d68e93chunk-1d4b58de5429cd1261370c231c8673e8'}> -2024-10-30 06:52:57,150 - lightrag - INFO - get_node:query:MATCH (n:`PORTLY GENTLEMEN`) RETURN n:result: -2024-10-30 06:52:57,239 - lightrag - INFO - get_node:query:MATCH (n:`THE REGISTER`) RETURN n:result: -2024-10-30 06:52:57,325 - lightrag - INFO - get_node:query:MATCH (n:`MULTITUDES`) RETURN n:result: -2024-10-30 06:52:57,412 - lightrag - INFO - get_node:query:MATCH (n:`GHOST OF CHRISTMAS YET TO COME`) RETURN n:result:"The Ghost of Christmas Yet to Come is a foreboding spirit that shows Scrooge the potential consequences of his actions if he does not change.""The Ghost of Christmas Yet to Come is a foreboding spirit that shows Scrooge the potential consequences of his actions if he does not change.""The Ghost of Christmas Yet to Come is a foreboding spirit that shows Scrooge the potential consequences of his actions if he does not change.""The Ghost of Christmas Yet to Come is a foreboding spirit that shows Scrooge the potential consequences of his actions if he does not change.""The Ghost of Christmas Yet to Come is an apparition that presents Scrooge with a grim vision of his possible future if he doesn\'t change his ways.""The Ghost of Christmas Yet to Come is an event within the story that signifies Scrooge\'s confrontation with the future consequences of his actions.""The Ghost of Christmas Yet to Come signifies a pivotal moment where Scrooge is confronted with the potential futures resulting from his life choices.""The Ghost of Christmas Yet to Come signifies a pivotal moment where Scrooge is confronted with the potential futures resulting from his life choices.""The Ghost of Christmas Yet to Come signifies a pivotal moment where Scrooge is confronted with the potential futures resulting from his life choices.""The Ghost of Christmas Yet to Come signifies a pivotal moment where Scrooge is confronted with the potential futures resulting from his life choices.""The Ghost of Christmas Yet to Come signifies a pivotal moment where Scrooge is confronted with the potential futures resulting from his life choices."', 'source_id': 'chunk-02baee20cc9463dbe08170a8e1043e32chunk-9e3921da66da5d761ab73cd849af6c43'}> -2024-10-30 06:52:57,501 - lightrag - INFO - get_node:query:MATCH (n:`THE YARD`) RETURN n:result: -2024-10-30 06:52:57,586 - lightrag - INFO - get_node:query:MATCH (n:`THE CANDLE`) RETURN n:result:"The Candle is a source of light that Scrooge lights as he enters his home, symbolizing the struggle against darkness and isolation.""The Candle is a source of light that Scrooge lights as he enters his home, symbolizing the struggle against darkness and isolation.""The Candle is a source of light that Scrooge lights as he enters his home, symbolizing the struggle against darkness and isolation.""The Candle is a source of light that Scrooge lights as he enters his home, symbolizing the struggle against darkness and isolation.""The Candle represents a source of light in Scrooge\'s dark life, emphasizing the contrast between warmth and isolation."', 'source_id': 'chunk-d9aac3484185ac66045df92214d245d5chunk-9c43dac2fcd5b578242d907ea6f8fc7b'}> -2024-10-30 06:52:57,674 - lightrag - INFO - get_node:query:MATCH (n:`THE PEOPLE`) RETURN n:result:"The People refer to the townsfolk whom Scrooge encounters, showcasing the communal spirit of Christmas.""The People refer to the townsfolk whom Scrooge encounters, showcasing the communal spirit of Christmas.""The People refer to the townsfolk whom Scrooge encounters, showcasing the communal spirit of Christmas.""The People refer to the townsfolk whom Scrooge encounters, showcasing the communal spirit of Christmas.""The People refers to the inhabitants of the quarter, characterized by their desperate living conditions and societal challenges.""The People represent the townsfolk who come together in celebration during the Christmas season, highlighting communal joy and participation.""The People represent the various individuals Scrooge encounters during his joyful walk, symbolizing community and shared happiness.""The People refers to the inhabitants of the quarter, characterized by their desperate living conditions and societal challenges.""The People represent the townsfolk who come together in celebration during the Christmas season, highlighting communal joy and participation.""The People refers to the inhabitants of the quarter, characterized by their desperate living conditions and societal challenges.""The People represent the townsfolk who come together in celebration during the Christmas season, highlighting communal joy and participation.""The People refers to the inhabitants of the quarter, characterized by their desperate living conditions and societal challenges.""The People represent the townsfolk who come together in celebration during the Christmas season, highlighting communal joy and participation.""The People refers to the inhabitants of the quarter, characterized by their desperate living conditions and societal challenges.""The People represent the townsfolk who come together in celebration during the Christmas season, highlighting communal joy and participation."', 'source_id': 'chunk-f1a4fbcf1ed86864b9bfd5e8dba4c683chunk-8f738cb25d60a7dab782162d9d0a25edchunk-b0f459f5af1c3a5e0b92cbe4ee48b77b'}> -2024-10-30 06:52:57,763 - lightrag - INFO - get_node:query:MATCH (n:`ALI BABA`) RETURN n:result:"Ali Baba is a character from a story recalled by Scrooge, representing memories of adventure and kindness during Christmas.""Ali Baba is a character from a story recalled by Scrooge, representing memories of adventure and kindness during Christmas.""Ali Baba is a character from a story recalled by Scrooge, representing memories of adventure and kindness during Christmas.""Ali Baba is a character from a story recalled by Scrooge, representing memories of adventure and kindness during Christmas.""Ali Baba is mentioned as a character from a story that impacts Scrooge during his reflection on Christmas and childhood."', 'source_id': 'chunk-8590d9263cd2cd4fa583c432fc54e6c3'}> -2024-10-30 06:52:57,854 - lightrag - INFO - get_node:query:MATCH (n:`THE CRATCHIT FAMILY`) RETURN n:result:"The Cratchit Family consists of Bob, Mrs. Cratchit, Tiny Tim, and their children, characterized by their strong familial bonds and love for one another despite financial struggles.""The Cratchit Family consists of Bob, Mrs. Cratchit, Tiny Tim, and their children, characterized by their strong familial bonds and love for one another despite financial struggles.""The Cratchit Family consists of Bob, Mrs. Cratchit, Tiny Tim, and their children, characterized by their strong familial bonds and love for one another despite financial struggles.""The Cratchit Family consists of Bob, Mrs. Cratchit, Tiny Tim, and their children, characterized by their strong familial bonds and love for one another despite financial struggles.""The Cratchit Family consists of Bob, Mrs. Cratchit, and their children, highlighting themes of familial love and support amidst hardship.""The Cratchit Family is a close-knit family depicted in the text, characterized by love and warmth, celebrating Christmas together despite their difficulties.""The Cratchit Family represents a typical struggling family in the text, highlighting the theme of social disparity during Christmas.""The Cratchit Family is a close-knit family depicted in the text, characterized by love and warmth, celebrating Christmas together despite their difficulties.""The Cratchit Family represents a typical struggling family in the text, highlighting the theme of social disparity during Christmas.""The Cratchit Family is a close-knit family depicted in the text, characterized by love and warmth, celebrating Christmas together despite their difficulties.""The Cratchit Family represents a typical struggling family in the text, highlighting the theme of social disparity during Christmas.""The Cratchit Family is a close-knit family depicted in the text, characterized by love and warmth, celebrating Christmas together despite their difficulties.""The Cratchit Family represents a typical struggling family in the text, highlighting the theme of social disparity during Christmas.""The Cratchit Family is a close-knit family depicted in the text, characterized by love and warmth, celebrating Christmas together despite their difficulties.""The Cratchit Family represents a typical struggling family in the text, highlighting the theme of social disparity during Christmas."', 'source_id': 'chunk-503f0bfa5453467c7c61d160a3540ecachunk-90d5764e301321c087f5a8f78b73a145chunk-1d4b58de5429cd1261370c231c8673e8'}> -2024-10-30 06:52:57,938 - lightrag - INFO - get_node:query:MATCH (n:`THE BUSINESSMEN`) RETURN n:result: -2024-10-30 06:52:58,023 - lightrag - INFO - get_node:query:MATCH (n:`THE MANSION HOUSE`) RETURN n:result:"The Mansion House is the official residence of the Lord Mayor, where festive preparations for Christmas are being made.""The Mansion House is the official residence of the Lord Mayor, where festive preparations for Christmas are being made.""The Mansion House is the official residence of the Lord Mayor, where festive preparations for Christmas are being made.""The Mansion House is the official residence of the Lord Mayor, where festive preparations for Christmas are being made.""The Mansion House is the official residence of the Lord Mayor, where festive preparations for Christmas are being made."', 'source_id': 'chunk-90d5764e301321c087f5a8f78b73a145'}> -2024-10-30 06:52:58,111 - lightrag - INFO - get_node:query:MATCH (n:`THE OBSCURE PART OF TOWN`) RETURN n:result: -2024-10-30 06:52:58,198 - lightrag - INFO - get_node:query:MATCH (n:`SCROOGE'S NEPHEW`) RETURN n:result:"Scrooge\'s Nephew is a jovial character known for his infectious laughter and optimistic attitude towards Christmas, finding humor in Scrooge\'s ill temper and wealth.""Scrooge\'s Nephew is portrayed as warm-hearted and attempts to engage his uncle in the spirit of Christmas, despite Scrooge\'s rebuff.""Scrooge\'s nephew is portrayed as a joyful character who embodies laughter and good-humor, contrasting with Scrooge\'s initial persona."Scrooge\'s Nephew is a cheerful and optimistic character who embodies the spirit of Christmas, consistently challenging his uncle Scrooge\'s gloomy outlook on both Christmas and life. He is characterized by his contagious laughter and good humor, starkly contrasting with Scrooge\'s miserliness and pessimism. This jovial character actively participates in family gatherings, engaging in games and displaying a joyful demeanor. He finds humor in Scrooge\'s ill temper and wealth, often emphasizing the positive qualities of Christmas despite his uncle\'s negativity. Warm-hearted and determined, Scrooge\'s Nephew makes repeated attempts to involve Scrooge in the festive spirit, even in the face of his uncle\'s rebuffs. Overall, he represents a vibrant spirit of joy and laughter, serving as a lively counterpoint to Scrooge\'s initial persona.', 'source_id': 'chunk-43c9bee23adfa77aa9dedd22401bba7dchunk-5dac41b3f9eeaf794f0147400b1718cdchunk-74e2466de2f67fd710ef2f20c0a8d9e0chunk-91614df5cb74cbe5e109a338a82041e9chunk-773d0df1dd25c356f7b771d780583e09'}> -2024-10-30 06:52:58,286 - lightrag - INFO - get_node:query:MATCH (n:`MANKIND`) RETURN n:result:"Mankind is referenced as a significant concern that should have been the focus of Scrooge\'s life, highlighting the importance of universal compassion and care.""Mankind is referenced as a significant concern that should have been the focus of Scrooge\'s life, highlighting the importance of universal compassion and care.""Mankind is referenced as a significant concern that should have been the focus of Scrooge\'s life, highlighting the importance of universal compassion and care.""Mankind is referenced as a significant concern that should have been the focus of Scrooge\'s life, highlighting the importance of universal compassion and care.""Mankind signifies the broader human community, which Marley claims should be the focus of compassionate effort rather than mere business pursuits."', 'source_id': 'chunk-359187e7571bda4b0b08b2e0b6581e52'}> -2024-10-30 06:52:58,377 - lightrag - INFO - get_node:query:MATCH (n:`THE SITTING ROOM`) RETURN n:result: -2024-10-30 06:52:58,467 - lightrag - INFO - get_node:query:MATCH (n:`THE FAMILY`) RETURN n:result: -2024-10-30 06:52:58,569 - lightrag - INFO - get_node:query:MATCH (n:`THE WAREHOUSE`) RETURN n:result:"The Warehouse is the setting for Fezziwig\'s celebrations, transformed into a ballroom for the festivities.""The Warehouse is the place of business shared by Scrooge and Marley, a symbol of their partnership in life and business.""The Warehouse serves as the setting for Scrooge\'s memories of Fezziwig\'s jovial nature and the lively gatherings during his apprenticeship.""The Warehouse is the place of business shared by Scrooge and Marley, a symbol of their partnership in life and business.""The Warehouse serves as the setting for Scrooge\'s memories of Fezziwig\'s jovial nature and the lively gatherings during his apprenticeship.""The Warehouse is the place of business shared by Scrooge and Marley, a symbol of their partnership in life and business.""The Warehouse serves as the setting for Scrooge\'s memories of Fezziwig\'s jovial nature and the lively gatherings during his apprenticeship.""The Warehouse is the place of business shared by Scrooge and Marley, a symbol of their partnership in life and business.""The Warehouse serves as the setting for Scrooge\'s memories of Fezziwig\'s jovial nature and the lively gatherings during his apprenticeship.""The Warehouse is the place of business shared by Scrooge and Marley, a symbol of their partnership in life and business.""The Warehouse serves as the setting for Scrooge\'s memories of Fezziwig\'s jovial nature and the lively gatherings during his apprenticeship."', 'source_id': 'chunk-c6c248858d1b13ab7ee9ca13c1aeed6bchunk-8bc1edd983869352d14cf0886a9175a7chunk-89777b838d5447c7bd1ec11282c4ee89'}> -2024-10-30 06:52:58,669 - lightrag - INFO - get_node:query:MATCH (n:`THE MOURNING DRESS`) RETURN n:result: -2024-10-30 06:52:58,758 - lightrag - INFO - get_node:query:MATCH (n:`CHESTNUTS`) RETURN n:result: -2024-10-30 06:52:58,845 - lightrag - INFO - get_node:query:MATCH (n:`THE BOY`) RETURN n:result:"The Boy is a young messenger who interacts with Scrooge during his purchase of the turkey.""The Boy represents innocence and curiosity, serving as a catalyst for Scrooge\'s generous act by purchasing the turkey.""The Boy represents innocence and curiosity, serving as a catalyst for Scrooge\'s generous act by purchasing the turkey.""The Boy represents innocence and curiosity, serving as a catalyst for Scrooge\'s generous act by purchasing the turkey.""The Boy represents innocence and curiosity, serving as a catalyst for Scrooge\'s generous act by purchasing the turkey.""The Boy represents innocence and curiosity, serving as a catalyst for Scrooge\'s generous act by purchasing the turkey."', 'source_id': 'chunk-8f738cb25d60a7dab782162d9d0a25edchunk-8bc1edd983869352d14cf0886a9175a7chunk-90b95db5c53e4364a6bee36b7aa4d70f'}> -2024-10-30 06:52:58,932 - lightrag - INFO - get_node:query:MATCH (n:`THE CORPSE`) RETURN n:result: -2024-10-30 06:52:59,021 - lightrag - INFO - get_node:query:MATCH (n:`GHOST`) RETURN n:result:"The Ghost refers to the spirit guiding Scrooge, embodying the themes of memory and reflection on the joys of Christmas.""The Ghost represents a spiritual guide that takes Scrooge on a journey to learn important lessons about compassion and humanity.""The Ghost serves as a supernatural guide for Scrooge, prompting him to reflect on his life and choices.""The Ghost is the spirit of Jacob Marley, who expresses remorse for his life and warns Scrooge about the consequences of ignoring his moral duties.""The Ghost is the spirit of Jacob Marley, who expresses remorse for his life and warns Scrooge about the consequences of ignoring his moral duties.""The Ghost is the spirit of Jacob Marley, who expresses remorse for his life and warns Scrooge about the consequences of ignoring his moral duties.""The Ghost is the spirit of Jacob Marley, who expresses remorse for his life and warns Scrooge about the consequences of ignoring his moral duties.""The Ghost is the spirit of Jacob Marley, who expresses remorse for his life and warns Scrooge about the consequences of ignoring his moral duties."', 'source_id': 'chunk-43c9bee23adfa77aa9dedd22401bba7dchunk-e7637ff18c5ded77a68cce0a87883fadchunk-359187e7571bda4b0b08b2e0b6581e52chunk-c6c248858d1b13ab7ee9ca13c1aeed6bchunk-503f0bfa5453467c7c61d160a3540eca'}> -2024-10-30 06:52:59,113 - lightrag - INFO - get_node:query:MATCH (n:`THE BEAUTIFUL YOUNG GIRL`) RETURN n:result: -2024-10-30 06:52:59,202 - lightrag - INFO - get_node:query:MATCH (n:`THE DAUGHTER`) RETURN n:result: -2024-10-30 06:52:59,292 - lightrag - INFO - get_node:query:MATCH (n:`THE DARKNESS`) RETURN n:result:"The Darkness symbolizes the confusion and the unknown that envelops Scrooge as he faces the reality of his past, present, and future.""The Darkness symbolizes the confusion and the unknown that envelops Scrooge as he faces the reality of his past, present, and future.""The Darkness symbolizes the confusion and the unknown that envelops Scrooge as he faces the reality of his past, present, and future.""The Darkness symbolizes the confusion and the unknown that envelops Scrooge as he faces the reality of his past, present, and future.""The Darkness symbolizes the confusion and the unknown that envelops Scrooge as he faces the reality of his past, present, and future."', 'source_id': 'chunk-cb661c37436355ccec2769b1d0350c5f'}> -2024-10-30 06:52:59,380 - lightrag - INFO - get_node:query:MATCH (n:`ROBIN CRUSOE`) RETURN n:result:"Robin Crusoe is a character from literature that Scrooge remembers fondly, illustrating his connection to stories of adventure and survival.""Robin Crusoe is a character from literature that Scrooge remembers fondly, illustrating his connection to stories of adventure and survival.""Robin Crusoe is a character from literature that Scrooge remembers fondly, illustrating his connection to stories of adventure and survival.""Robin Crusoe is a character from literature that Scrooge remembers fondly, illustrating his connection to stories of adventure and survival.""Robin Crusoe is a character referenced by Scrooge as part of his memories, signifying tales of adventure and nostalgia."', 'source_id': 'chunk-8590d9263cd2cd4fa583c432fc54e6c3'}> -2024-10-30 06:52:59,470 - lightrag - INFO - get_node:query:MATCH (n:`SPANISH ONIONS`) RETURN n:result: -2024-10-30 06:52:59,559 - lightrag - INFO - get_node:query:MATCH (n:`POOR AND DESTITUTE`) RETURN n:result: -2024-10-30 06:52:59,647 - lightrag - INFO - get_node:query:MATCH (n:`CHRISTMAS HOLIDAYS`) RETURN n:result:"Christmas Holidays signify a time for celebration, reflection, and reconciliation, playing a critical role in Scrooge\'s transformation.""Christmas Holidays signify a time for celebration, reflection, and reconciliation, playing a critical role in Scrooge\'s transformation.""Christmas Holidays signify a time for celebration, reflection, and reconciliation, playing a critical role in Scrooge\'s transformation.""Christmas Holidays signify a time for celebration, reflection, and reconciliation, playing a critical role in Scrooge\'s transformation.""The Christmas Holidays serve as a crucial backdrop for the narrative, representing themes of generosity, family, and redemption."', 'source_id': 'chunk-e7637ff18c5ded77a68cce0a87883fad'}> -2024-10-30 06:52:59,735 - lightrag - INFO - get_node:query:MATCH (n:`CHRISTMAS PUDDING`) RETURN n:result:"Christmas Pudding is a dish being prepared for the festive celebration, embodying the spirit of Christmas and family gatherings.""Christmas Pudding is a dish being prepared for the festive celebration, embodying the spirit of Christmas and family gatherings.""Christmas Pudding is a dish being prepared for the festive celebration, embodying the spirit of Christmas and family gatherings.""Christmas Pudding is a dish being prepared for the festive celebration, embodying the spirit of Christmas and family gatherings.""The Christmas Pudding is a significant dish prepared by Mrs. Cratchit, symbolizing the family\'s festive celebration and unity."', 'source_id': 'chunk-503f0bfa5453467c7c61d160a3540ecachunk-90d5764e301321c087f5a8f78b73a145'}> -2024-10-30 06:52:59,820 - lightrag - INFO - get_node:query:MATCH (n:`HOSPITAL`) RETURN n:result:"Hospital signifies a place of healing and care, visited by the Spirit in the story.""Hospital signifies a place of healing and care, visited by the Spirit in the story.""Hospital signifies a place of healing and care, visited by the Spirit in the story.""Hospital signifies a place of healing and care, visited by the Spirit in the story.""The Hospital represents a location of care and compassion, highlighting the human condition and the need for kindness."', 'source_id': 'chunk-e7637ff18c5ded77a68cce0a87883fad'}> -2024-10-30 06:52:59,908 - lightrag - INFO - get_node:query:MATCH (n:`MASTER PETER`) RETURN n:result: -2024-10-30 06:52:59,999 - lightrag - INFO - get_node:query:MATCH (n:`THE BED`) RETURN n:result:"The Bed represents a significant scene where the deceased man\'s body is laid, evoking deep emotions and realizations about life and morality.""The Bed represents a significant scene where the deceased man\'s body is laid, evoking deep emotions and realizations about life and morality.""The Bed represents a significant scene where the deceased man\'s body is laid, evoking deep emotions and realizations about life and morality.""The Bed represents a significant scene where the deceased man\'s body is laid, evoking deep emotions and realizations about life and morality.""The Bed represents a significant scene where the deceased man\'s body is laid, evoking deep emotions and realizations about life and morality."', 'source_id': 'chunk-e1f29eeadc1d8ab46dc8a0bbd3c56b64'}> -2024-10-30 06:53:00,092 - lightrag - INFO - get_node:query:MATCH (n:`CAMDEN TOWN`) RETURN n:result:"Camden Town is a location mentioned as Bob Cratchit\'s home, highlighting the setting of his personal life.""Camden Town is a location mentioned as Bob Cratchit\'s home, highlighting the setting of his personal life.""Camden Town is a location mentioned as Bob Cratchit\'s home, highlighting the setting of his personal life.""Camden Town is a location mentioned as Bob Cratchit\'s home, highlighting the setting of his personal life.""Camden Town is a location mentioned in relation to the logistics of transporting a large turkey.""Camden Town is a location where Bob Cratchit runs home to celebrate Christmas Eve, representing a more joyful and lively setting.""Camden Town is mentioned as a location related to the transportation of a turkey in a humorous context during the holiday season.""Camden Town is mentioned as a location related to the transportation of a turkey in a humorous context during the holiday season.""Camden Town is mentioned as a location related to the transportation of a turkey in a humorous context during the holiday season.""Camden Town is mentioned as a location related to the transportation of a turkey in a humorous context during the holiday season.""Camden Town is mentioned as a location related to the transportation of a turkey in a humorous context during the holiday season."', 'source_id': 'chunk-d9aac3484185ac66045df92214d245d5chunk-8f738cb25d60a7dab782162d9d0a25ed'}> -2024-10-30 06:53:00,179 - lightrag - INFO - get_node:query:MATCH (n:`ALMSHOUSE`) RETURN n:result: -2024-10-30 06:53:00,267 - lightrag - INFO - get_node:query:MATCH (n:`DEATH`) RETURN n:result:"Death is described as a powerful force in the narrative, represented through the imagery of a cold, rigid presence and the contemplation of mortality.""Death refers to the passing of a character that triggers a range of emotions and reflections among the living, influencing their lives and relationships.""Death is depicted as a cold, inevitable force, prompting reflections on the value of life and the consequences of avarice.""Death is depicted as a cold, inevitable force, prompting reflections on the value of life and the consequences of avarice.""Death is depicted as a cold, inevitable force, prompting reflections on the value of life and the consequences of avarice.""Death is depicted as a cold, inevitable force, prompting reflections on the value of life and the consequences of avarice.""Death is depicted as a cold, inevitable force, prompting reflections on the value of life and the consequences of avarice."', 'source_id': 'chunk-e1f29eeadc1d8ab46dc8a0bbd3c56b64chunk-83ac129dc9b56f84c46760d153d68e93chunk-02baee20cc9463dbe08170a8e1043e32'}> -2024-10-30 06:53:00,355 - lightrag - INFO - get_node:query:MATCH (n:`THE GRAVE`) RETURN n:result: -2024-10-30 06:53:00,443 - lightrag - INFO - get_node:query:MATCH (n:`LONDON`) RETURN n:result:"London is the city where the narrative takes place, representing a central location in the story.""London is the city where the narrative takes place, representing a central location in the story.""London is the city where the narrative takes place, representing a central location in the story.""London is the city where the narrative takes place, representing a central location in the story.""London serves as the general setting for the story, although its specific mention relates to an animal in the context of a game.""London serves as the geographical setting for the story, encapsulating the harsh winter atmosphere and the life of its inhabitants during the festive season.""London serves as the setting where the events take place, adding a cultural backdrop to the Christmas gathering.""London serves as the setting for the story, highlighting the bustling yet isolating environment in which Scrooge lives.""London serves as the general setting for the story, although its specific mention relates to an animal in the context of a game.""London serves as the setting for the story, highlighting the bustling yet isolating environment in which Scrooge lives.""London serves as the general setting for the story, although its specific mention relates to an animal in the context of a game.""London serves as the setting for the story, highlighting the bustling yet isolating environment in which Scrooge lives.""London serves as the general setting for the story, although its specific mention relates to an animal in the context of a game.""London serves as the setting for the story, highlighting the bustling yet isolating environment in which Scrooge lives.""London serves as the general setting for the story, although its specific mention relates to an animal in the context of a game.""London serves as the setting for the story, highlighting the bustling yet isolating environment in which Scrooge lives."', 'source_id': 'chunk-d9aac3484185ac66045df92214d245d5chunk-43c9bee23adfa77aa9dedd22401bba7dchunk-e7637ff18c5ded77a68cce0a87883fad'}> -2024-10-30 06:53:00,533 - lightrag - INFO - get_node:query:MATCH (n:`CRATCHIT CHRISTMAS DINNER`) RETURN n:result: -2024-10-30 06:53:00,621 - lightrag - INFO - get_node:query:MATCH (n:`THE GATHERING`) RETURN n:result: -2024-10-30 06:53:00,709 - lightrag - INFO - get_node:query:MATCH (n:`MARTHA CRATCHIT`) RETURN n:result:"Martha is another daughter of Bob and Mrs. Cratchit, who, like her sister Belinda, symbolizes the warmth and togetherness in the Cratchit household.""Martha Cratchit is a daughter of Bob and Mrs. Cratchit, working as an apprentice at a milliner\'s and looking forward to the holiday for a good rest.""Martha is another daughter of Bob and Mrs. Cratchit, who shows love and care for her family.""Martha Cratchit is a daughter of Bob and Mrs. Cratchit, working as an apprentice at a milliner\'s and looking forward to the holiday for a good rest.""Martha is another daughter of Bob and Mrs. Cratchit, who shows love and care for her family.""Martha Cratchit is a daughter of Bob and Mrs. Cratchit, working as an apprentice at a milliner\'s and looking forward to the holiday for a good rest.""Martha is another daughter of Bob and Mrs. Cratchit, who shows love and care for her family.""Martha Cratchit is a daughter of Bob and Mrs. Cratchit, working as an apprentice at a milliner\'s and looking forward to the holiday for a good rest.""Martha is another daughter of Bob and Mrs. Cratchit, who shows love and care for her family.""Martha Cratchit is a daughter of Bob and Mrs. Cratchit, working as an apprentice at a milliner\'s and looking forward to the holiday for a good rest.""Martha is another daughter of Bob and Mrs. Cratchit, who shows love and care for her family."', 'source_id': 'chunk-19d72c57ae3408758b18d2568e86dc6bchunk-7e2e7ebcc19a53b399dc03aded4743e7chunk-9e3921da66da5d761ab73cd849af6c43'}> -2024-10-30 06:53:00,796 - lightrag - INFO - get_node:query:MATCH (n:`THE COUNTING-HOUSE CLERK`) RETURN n:result: -2024-10-30 06:53:00,882 - lightrag - INFO - get_node:query:MATCH (n:`GEESE`) RETURN n:result:"Geese are also traditional food items that may be included in Christmas feasts, adding to the holiday cheer.""Geese are also traditional food items that may be included in Christmas feasts, adding to the holiday cheer.""Geese are also traditional food items that may be included in Christmas feasts, adding to the holiday cheer.""Geese are also traditional food items that may be included in Christmas feasts, adding to the holiday cheer.""Geese are another traditional food item during Christmas, contributing to the festive dining experiences.""Geese are included in the festive feast, representing the bounty and celebration associated with Christmas."', 'source_id': 'chunk-99b0ec7f7e006561352b5d65e849611dchunk-843b5b2f944c7413d9ca876e2e2f151f'}> -2024-10-30 06:53:00,972 - lightrag - INFO - get_node:query:MATCH (n:`ORSON`) RETURN n:result:"Orson, the wild brother of Valentine, is another figure from Scrooge\'s past, representing familial connections and memories.""Orson, the wild brother of Valentine, is another figure from Scrooge\'s past, representing familial connections and memories.""Orson, the wild brother of Valentine, is another figure from Scrooge\'s past, representing familial connections and memories.""Orson, the wild brother of Valentine, is another figure from Scrooge\'s past, representing familial connections and memories.""Orson, the wild brother of Valentine, is another figure from Scrooge\'s past, representing familial connections and memories."', 'source_id': 'chunk-8590d9263cd2cd4fa583c432fc54e6c3'}> -2024-10-30 06:53:01,060 - lightrag - INFO - get_node:query:MATCH (n:`THE GENTLEMAN`) RETURN n:result:"The Gentleman is a character attempting to persuade Scrooge to contribute to charity for the poor during Christmas.""The Gentleman is a character attempting to persuade Scrooge to contribute to charity for the poor during Christmas.""The Gentleman is a character attempting to persuade Scrooge to contribute to charity for the poor during Christmas.""The Gentleman is a character attempting to persuade Scrooge to contribute to charity for the poor during Christmas.""The Gentleman is a character who advocates for helping the poor and trying to raise a fund for those in need during Christmas."', 'source_id': 'chunk-90d5764e301321c087f5a8f78b73a145'}> -2024-10-30 06:53:01,149 - lightrag - INFO - get_node:query:MATCH (n:`THE DYING FLAME`) RETURN n:result:"The Dying Flame represents the fear and uncertainty in Scrooge as it reacts to the presence of Marley’s Ghost, adding to the eerie atmosphere.""The Dying Flame represents the fear and uncertainty in Scrooge as it reacts to the presence of Marley’s Ghost, adding to the eerie atmosphere.""The Dying Flame represents the fear and uncertainty in Scrooge as it reacts to the presence of Marley’s Ghost, adding to the eerie atmosphere.""The Dying Flame represents the fear and uncertainty in Scrooge as it reacts to the presence of Marley’s Ghost, adding to the eerie atmosphere.""The Dying Flame signifies the waning spirit of Scrooge, momentarily invigorated by the arrival of the ghost as a metaphor for his fading humanity.""The Dying Flame signifies the waning spirit of Scrooge, momentarily invigorated by the arrival of the ghost as a metaphor for his fading humanity.""The Dying Flame signifies the waning spirit of Scrooge, momentarily invigorated by the arrival of the ghost as a metaphor for his fading humanity.""The Dying Flame signifies the waning spirit of Scrooge, momentarily invigorated by the arrival of the ghost as a metaphor for his fading humanity.""The Dying Flame signifies the waning spirit of Scrooge, momentarily invigorated by the arrival of the ghost as a metaphor for his fading humanity."', 'source_id': 'chunk-9c43dac2fcd5b578242d907ea6f8fc7bchunk-1aa50206d02ed89418f65f97c6441d1c'}> -2024-10-30 06:53:01,237 - lightrag - INFO - get_node:query:MATCH (n:`THE DINNER`) RETURN n:result:"The Dinner is a festive event where the Cratchit family gathers to enjoy a meal, including a special goose and pudding, symbolizing their togetherness.""The Dinner is a festive event where the Cratchit family gathers to enjoy a meal, including a special goose and pudding, symbolizing their togetherness.""The Dinner is a festive event where the Cratchit family gathers to enjoy a meal, including a special goose and pudding, symbolizing their togetherness.""The Dinner is a festive event where the Cratchit family gathers to enjoy a meal, including a special goose and pudding, symbolizing their togetherness.""The Dinner is a social event characterized by laughter, music, and discussions about Scrooge, portraying a festive Christmas gathering."', 'source_id': 'chunk-503f0bfa5453467c7c61d160a3540ecachunk-773d0df1dd25c356f7b771d780583e09'}> -2024-10-30 06:53:01,324 - lightrag - INFO - get_node:query:MATCH (n:`THE FUNERAL`) RETURN n:result:"The Funeral is a context for conversation among characters, reflecting on mortality and social connections surrounding death.""The Funeral is a context for conversation among characters, reflecting on mortality and social connections surrounding death.""The Funeral is a context for conversation among characters, reflecting on mortality and social connections surrounding death.""The Funeral is a context for conversation among characters, reflecting on mortality and social connections surrounding death.""The Funeral of Marley is a significant event that highlights Scrooge\'s relationship with Marley and sets the tone for their partnership and Scrooge\'s eventual path.""The Funeral serves as a significant event reflecting on Marley\'s death, noted for its business-like atmosphere as perceived by Scrooge.""The Funeral of Marley is a significant event that highlights Scrooge\'s relationship with Marley and sets the tone for their partnership and Scrooge\'s eventual path.""The Funeral of Marley is a significant event that highlights Scrooge\'s relationship with Marley and sets the tone for their partnership and Scrooge\'s eventual path.""The Funeral of Marley is a significant event that highlights Scrooge\'s relationship with Marley and sets the tone for their partnership and Scrooge\'s eventual path.""The Funeral of Marley is a significant event that highlights Scrooge\'s relationship with Marley and sets the tone for their partnership and Scrooge\'s eventual path."', 'source_id': 'chunk-f1a4fbcf1ed86864b9bfd5e8dba4c683chunk-89777b838d5447c7bd1ec11282c4ee89'}> -2024-10-30 06:53:01,411 - lightrag - INFO - get_node:query:MATCH (n:`THE BLANKETS`) RETURN n:result:"The Blankets are associated with the deceased man\'s body, symbolizing care and the human connection to the dead.""The Blankets are associated with the deceased man\'s body, symbolizing care and the human connection to the dead.""The Blankets are associated with the deceased man\'s body, symbolizing care and the human connection to the dead.""The Blankets are associated with the deceased man\'s body, symbolizing care and the human connection to the dead.""The Blankets are discussed in the context of the deceased\'s possessions, highlighting themes of care and abandonment after death."', 'source_id': 'chunk-e1f29eeadc1d8ab46dc8a0bbd3c56b64'}> -2024-10-30 06:53:01,499 - lightrag - INFO - get_node:query:MATCH (n:`THE GHOST OF CHRISTMAS YET TO COME`) RETURN n:result:"The Ghost of Christmas Yet to Come is a spirit that shows Scrooge the consequences of his actions, pointing toward his eventual demise.""The Ghost of Christmas Yet to Come reveals the potential consequences of Scrooge\'s current life choices, emphasizing themes of mortality and legacy.""The Ghost of Christmas Yet to Come is a spirit that shows Scrooge the consequences of his actions, pointing toward his eventual demise.""The Ghost of Christmas Yet to Come reveals the potential consequences of Scrooge\'s current life choices, emphasizing themes of mortality and legacy.""The Ghost of Christmas Yet to Come is a spirit that shows Scrooge the consequences of his actions, pointing toward his eventual demise.""The Ghost of Christmas Yet to Come reveals the potential consequences of Scrooge\'s current life choices, emphasizing themes of mortality and legacy.""The Ghost of Christmas Yet to Come is a spirit that shows Scrooge the consequences of his actions, pointing toward his eventual demise.""The Ghost of Christmas Yet to Come reveals the potential consequences of Scrooge\'s current life choices, emphasizing themes of mortality and legacy.""The Ghost of Christmas Yet to Come is a spirit that shows Scrooge the consequences of his actions, pointing toward his eventual demise.""The Ghost of Christmas Yet to Come reveals the potential consequences of Scrooge\'s current life choices, emphasizing themes of mortality and legacy."', 'source_id': 'chunk-91572b3cd42786ba4cb2f180ca25cbf4chunk-90b95db5c53e4364a6bee36b7aa4d70f'}> -2024-10-30 06:53:01,584 - lightrag - INFO - get_node:query:MATCH (n:`MARLEY'S GHOST`) RETURN n:result:chunk-9c43dac2fcd5b578242d907ea6f8fc7bchunk-cb661c37436355ccec2769b1d0350c5fchunk-1aa50206d02ed89418f65f97c6441d1c'}> -2024-10-30 06:53:01,669 - lightrag - INFO - get_node:query:MATCH (n:`THE DECEASED`) RETURN n:result: -2024-10-30 06:53:01,758 - lightrag - INFO - get_node:query:MATCH (n:`THE FIRE`) RETURN n:result:"The Fire represents warmth and comfort in the Cratchit household, inviting family members to gather around during their Christmas celebration.""The Fire represents warmth and comfort in the Cratchit household, inviting family members to gather around during their Christmas celebration.""The Fire represents warmth and comfort in the Cratchit household, inviting family members to gather around during their Christmas celebration.""The Fire represents warmth and comfort in the Cratchit household, inviting family members to gather around during their Christmas celebration.""The Fire represents warmth and comfort in the Cratchit household, inviting family members to gather around during their Christmas celebration."', 'source_id': 'chunk-773d0df1dd25c356f7b771d780583e09chunk-7e2e7ebcc19a53b399dc03aded4743e7'}> -2024-10-30 06:53:01,843 - lightrag - INFO - get_node:query:MATCH (n:`MISTLETOE`) RETURN n:result:"Mistletoe is a plant used as a Christmas decoration, symbolizing love and goodwill during the holiday season.""Mistletoe is a plant used as a Christmas decoration, symbolizing love and goodwill during the holiday season.""Mistletoe is a plant used as a Christmas decoration, symbolizing love and goodwill during the holiday season.""Mistletoe is a plant used as a Christmas decoration, symbolizing love and goodwill during the holiday season.""Mistletoe is a traditional plant used for decoration during Christmas, symbolizing joy and a festive spirit.""Mistletoe is described in the context of Christmas decorations, often used for kissing and holiday celebrations.""Mistletoe is described in the context of Christmas decorations, often used for kissing and holiday celebrations.""Mistletoe is described in the context of Christmas decorations, often used for kissing and holiday celebrations.""Mistletoe is described in the context of Christmas decorations, often used for kissing and holiday celebrations.""Mistletoe is described in the context of Christmas decorations, often used for kissing and holiday celebrations."', 'source_id': 'chunk-99b0ec7f7e006561352b5d65e849611dchunk-843b5b2f944c7413d9ca876e2e2f151f'}> -2024-10-30 06:53:01,927 - lightrag - INFO - get_node:query:MATCH (n:`THE SPIRIT`) RETURN n:result:chunk-b0f459f5af1c3a5e0b92cbe4ee48b77bchunk-da2472b4ef2a535b62908f14d0fb0ca9chunk-e1f29eeadc1d8ab46dc8a0bbd3c56b64chunk-19d72c57ae3408758b18d2568e86dc6bchunk-503f0bfa5453467c7c61d160a3540ecachunk-91614df5cb74cbe5e109a338a82041e9chunk-91572b3cd42786ba4cb2f180ca25cbf4chunk-f1a4fbcf1ed86864b9bfd5e8dba4c683chunk-8590d9263cd2cd4fa583c432fc54e6c3chunk-b2f98bc7abb0c67d4c86055c7fd72218chunk-bb21d58d36c6306fd8810ddd51c4a971'}> -2024-10-30 06:53:02,015 - lightrag - INFO - get_node:query:MATCH (n:`THE PRIME OF LIFE`) RETURN n:result: -2024-10-30 06:53:02,099 - lightrag - INFO - get_node:query:MATCH (n:`OLD SCRATCH`) RETURN n:result:"Old Scratch is a colloquial term used in reference to the devil, indicating a grim context in discussions about death.""Old Scratch is a colloquial term used in reference to the devil, indicating a grim context in discussions about death.""Old Scratch is a colloquial term used in reference to the devil, indicating a grim context in discussions about death.""Old Scratch is a colloquial term used in reference to the devil, indicating a grim context in discussions about death.""Old Scratch is mentioned as a figure related to the conversation, symbolizing mischief and humor."', 'source_id': 'chunk-f1a4fbcf1ed86864b9bfd5e8dba4c683chunk-89777b838d5447c7bd1ec11282c4ee89'}> -2024-10-30 06:53:02,188 - lightrag - INFO - get_node:query:MATCH (n:`WINDING RIVER`) RETURN n:result: -2024-10-30 06:53:02,271 - lightrag - INFO - get_node:query:MATCH (n:`MR. MARLEY`) RETURN n:result: -2024-10-30 06:53:02,359 - lightrag - INFO - get_node:query:MATCH (n:`MR. SCROOGE'S NEPHEW`) RETURN n:result:"Mr. Scrooge\'s Nephew is a kind gentleman who expresses sympathy for Bob Cratchit and offers help, reflecting goodwill.""Mr. Scrooge\'s Nephew is a kind gentleman who expresses sympathy for Bob Cratchit and offers help, reflecting goodwill.""Mr. Scrooge\'s Nephew is a kind gentleman who expresses sympathy for Bob Cratchit and offers help, reflecting goodwill.""Mr. Scrooge\'s Nephew is a kind gentleman who expresses sympathy for Bob Cratchit and offers help, reflecting goodwill.""Mr. Scrooge\'s Nephew is a kind gentleman who shows concern for Bob Cratchit and offers support, symbolizing generosity and compassion."', 'source_id': 'chunk-1d4b58de5429cd1261370c231c8673e8'}> -2024-10-30 06:53:02,451 - lightrag - INFO - get_node:query:MATCH (n:`THE YOUNG CRATCHITS`) RETURN n:result: -2024-10-30 06:53:02,542 - lightrag - INFO - get_node:query:MATCH (n:`MARLEY'S FUNERAL`) RETURN n:result: -2024-10-30 06:53:02,630 - lightrag - INFO - get_node:query:MATCH (n:`THE SPIRITS`) RETURN n:result:"The Spirits represent the past, present, and future in Scrooge\'s life, guiding him toward redemption and self-reflection.""The Spirits represent the forces that guide Scrooge towards his transformation and are instrumental in his journey of redemption.""The Spirits represent the forces that guide Scrooge towards his transformation and are instrumental in his journey of redemption.""The Spirits represent the forces that guide Scrooge towards his transformation and are instrumental in his journey of redemption.""The Spirits represent the forces that guide Scrooge towards his transformation and are instrumental in his journey of redemption.""The Spirits represent the forces that guide Scrooge towards his transformation and are instrumental in his journey of redemption."', 'source_id': 'chunk-cb661c37436355ccec2769b1d0350c5fchunk-90b95db5c53e4364a6bee36b7aa4d70f'}> -2024-10-30 06:53:02,718 - lightrag - INFO - get_node:query:MATCH (n:`THE CASK`) RETURN n:result:"The Cask is part of the sounds emerging from the cellar, contributing to the eerie atmosphere surrounding Marley’s Ghost.""The Cask is part of the sounds emerging from the cellar, contributing to the eerie atmosphere surrounding Marley’s Ghost.""The Cask is part of the sounds emerging from the cellar, contributing to the eerie atmosphere surrounding Marley’s Ghost.""The Cask is part of the sounds emerging from the cellar, contributing to the eerie atmosphere surrounding Marley’s Ghost.""The Cask is part of the sounds emerging from the cellar, contributing to the eerie atmosphere surrounding Marley’s Ghost."', 'source_id': 'chunk-9c43dac2fcd5b578242d907ea6f8fc7b'}> -2024-10-30 06:53:02,805 - lightrag - INFO - get_node:query:MATCH (n:`THE PAST`) RETURN n:result:"The Past reflects on Scrooge\'s earlier life choices and experiences that shaped who he has become.""The Past reflects on Scrooge\'s earlier life choices and experiences that shaped who he has become.""The Past reflects on Scrooge\'s earlier life choices and experiences that shaped who he has become.""The Past reflects on Scrooge\'s earlier life choices and experiences that shaped who he has become.""The Past reflects on Scrooge\'s earlier life choices and experiences that shaped who he has become."', 'source_id': 'chunk-91572b3cd42786ba4cb2f180ca25cbf4'}> -2024-10-30 06:53:02,889 - lightrag - INFO - get_node:query:MATCH (n:`CITY`) RETURN n:result:"The City represents the urban setting where Scrooge witnesses the indifference of its inhabitants regarding his death.""The City represents the urban setting where Scrooge\'s transformation takes place, symbolizing the broader society impacted by his changes.""The City serves as a backdrop where various scenes unfold, representing the hustle of life and economic concerns.""The City symbolizes the urban setting where Scrooge\'s transformation takes place, primarily depicting the contrast between Scrooge\'s isolation and the outer world filled with festivities.""The City serves as a backdrop where various scenes unfold, representing the hustle of life and economic concerns.""The City symbolizes the urban setting where Scrooge\'s transformation takes place, primarily depicting the contrast between Scrooge\'s isolation and the outer world filled with festivities.""The City serves as a backdrop where various scenes unfold, representing the hustle of life and economic concerns.""The City symbolizes the urban setting where Scrooge\'s transformation takes place, primarily depicting the contrast between Scrooge\'s isolation and the outer world filled with festivities.""The City serves as a backdrop where various scenes unfold, representing the hustle of life and economic concerns.""The City symbolizes the urban setting where Scrooge\'s transformation takes place, primarily depicting the contrast between Scrooge\'s isolation and the outer world filled with festivities.""The City serves as a backdrop where various scenes unfold, representing the hustle of life and economic concerns.""The City symbolizes the urban setting where Scrooge\'s transformation takes place, primarily depicting the contrast between Scrooge\'s isolation and the outer world filled with festivities."', 'source_id': 'chunk-02baee20cc9463dbe08170a8e1043e32chunk-843b5b2f944c7413d9ca876e2e2f151fchunk-94bea83e7153fc2064aa382b494936a1'}> -2024-10-30 06:53:02,974 - lightrag - INFO - get_node:query:MATCH (n:`WEALTH`) RETURN n:result: -2024-10-30 06:53:03,064 - lightrag - INFO - get_node:query:MATCH (n:`THE MAIN STREET`) RETURN n:result: -2024-10-30 06:53:03,153 - lightrag - INFO - get_node:query:MATCH (n:`THE GIRL`) RETURN n:result:"The Girl is referenced in relation to The Boy, highlighting the dynamics of the young attendees at the Fezziwig\'s celebrations."', 'source_id': 'chunk-8f738cb25d60a7dab782162d9d0a25edchunk-8bc1edd983869352d14cf0886a9175a7'}> -2024-10-30 06:53:03,241 - lightrag - INFO - get_node:query:MATCH (n:`CHRISTMAS FEAST`) RETURN n:result: -2024-10-30 06:53:03,331 - lightrag - INFO - get_node:query:MATCH (n:`JACOB MARLEY`) RETURN n:result:"Jacob Marley is Scrooge\'s deceased partner, who appears in spirit to influence Scrooge\'s journey towards redemption.""Jacob Marley is a spirit who influences Scrooge\'s change of heart, representing a connection to Scrooge\'s past and the theme of redemption.""Jacob Marley is the deceased business partner of Scrooge, whose ghost visits him to convey a message about the importance of charity and kindness.""Jacob Marley is the deceased partner of Scrooge who shows concern for Scrooge\'s fate and the importance of change in his life.""Jacob Marley is the ghost of Scrooge\'s former business partner, who foretells the consequences of Scrooge\'s selfishness and warns him to change his ways.""Jacob Marley is the ghost of Scrooge\'s former partner, who appears to warn Scrooge about his fate and the need for change in his life."Jacob Marley is Scrooge\'s deceased business partner, who appears as a ghost, prominently wearing chains that symbolize the burdens of his past misdeeds and the weight of his regrets. As a spirit, Marley plays a pivotal role in influencing Ebenezer Scrooge\'s journey toward redemption. He visits Scrooge to convey significant messages about the dire consequences of a life devoid of compassion and the critical importance of charity and kindness.\n\nMarley\'s haunting presence serves as a warning to Scrooge about his impending fate if he continues on his selfish and isolated path. He is depicted as showing genuine concern for Scrooge\'s welfare and the necessity for transformative change in his life. Through his visitation, Marley acts as a catalyst, compelling Scrooge to reflect on his past actions and their impact on others. His connection to Scrooge\'s history reinforces the themes of redemption and personal responsibility, emphasizing the potential for transformation and renewal in the face of prior wrongdoings. Ultimately, Jacob Marley\'s spirit not only acts as a reminder of the consequences of one\'s choices but also highlights the possibility of change and growth through self-awareness and connection to humanity.', 'source_id': 'chunk-90b95db5c53e4364a6bee36b7aa4d70fchunk-359187e7571bda4b0b08b2e0b6581e52chunk-da2472b4ef2a535b62908f14d0fb0ca9chunk-02baee20cc9463dbe08170a8e1043e32chunk-1aa50206d02ed89418f65f97c6441d1cchunk-91572b3cd42786ba4cb2f180ca25cbf4chunk-cb661c37436355ccec2769b1d0350c5f'}> -2024-10-30 06:53:03,417 - lightrag - INFO - get_node:query:MATCH (n:`FRENCH PLUMS`) RETURN n:result: -2024-10-30 06:53:03,506 - lightrag - INFO - get_node:query:MATCH (n:`MR. FEZZIWIG`) RETURN n:result:"Mr. Fezziwig is a kind-hearted merchant and former employer of Scrooge, representing joy and generosity in contrast to Scrooge\'s character.""Mr. Fezziwig is a kind-hearted merchant and former employer of Scrooge, representing joy and generosity in contrast to Scrooge\'s character.""Mr. Fezziwig is a kind-hearted merchant and former employer of Scrooge, representing joy and generosity in contrast to Scrooge\'s character.""Mr. Fezziwig is a kind-hearted merchant and former employer of Scrooge, representing joy and generosity in contrast to Scrooge\'s character.""Mr. Fezziwig is a kind-hearted old merchant who served as a mentor to Scrooge, representing generosity and the joy of Christmas through his festive parties."', 'source_id': 'chunk-9e3921da66da5d761ab73cd849af6c43'}> -2024-10-30 06:53:03,594 - lightrag - INFO - get_node:query:MATCH (n:`THE CHILDREN`) RETURN n:result:"The Children are a lively group in the matron\'s home, symbolizing joy, chaos, and familial warmth.""The Children in the Cratchit family represent innocence and curiosity, highlighting the effects of their family\'s struggles on their happiness.""The Children serve as symbols of innocence and joy, representing the untainted happiness of childhood that Scrooge longs to reconnect with.""The children are the offspring of the Cratchit family, showcasing innocence and joy during the Christmas celebrations, reacting with laughter and cheer."The Children are a lively and joyful group experiencing wonder and delight, especially during the gift-giving scenes of the Christmas festivities. They embody innocence and joy, highlighting the untainted happiness of childhood, a happiness that Ebenezer Scrooge longs to reconnect with. Among them are the offspring of the Cratchit family, who, despite the struggles their family faces, react with laughter and cheer during the Christmas celebrations. The Children symbolize familial warmth and chaotic joy in various settings, including the matron\'s home and their own family\'s environment, showcasing their carefree nature and the profound effects of their circumstances on their happiness. Overall, they represent the pure and curious essence of childhood, serving as a reminder of the happiness that can persist even amidst adversity.', 'source_id': 'chunk-da2472b4ef2a535b62908f14d0fb0ca9chunk-19d72c57ae3408758b18d2568e86dc6bchunk-c6c248858d1b13ab7ee9ca13c1aeed6bchunk-54bdd22db1f84a965b5f4c06c9216d8dchunk-83ac129dc9b56f84c46760d153d68e93'}> -2024-10-30 06:53:03,683 - lightrag - INFO - get_node:query:MATCH (n:`THE GRATE`) RETURN n:result:"The Grate is a small fire in Scrooge\'s room that provides meager warmth, symbolizing Scrooge\'s cold disposition.""The Grate is a small fire in Scrooge\'s room that provides meager warmth, symbolizing Scrooge\'s cold disposition.""The Grate is a small fire in Scrooge\'s room that provides meager warmth, symbolizing Scrooge\'s cold disposition.""The Grate is a small fire in Scrooge\'s room that provides meager warmth, symbolizing Scrooge\'s cold disposition.""The Grate is part of Scrooge\'s room where a small fire burns, contributing to the bleak and cold atmosphere of his setting."', 'source_id': 'chunk-9c43dac2fcd5b578242d907ea6f8fc7b'}> -2024-10-30 06:53:03,768 - lightrag - INFO - get_node:query:MATCH (n:`THE GOOSE`) RETURN n:result:"The Goose is a central dish enjoyed by the Cratchit family during their Christmas dinner, symbolizing abundance and celebration.""The Goose is a central dish enjoyed by the Cratchit family during their Christmas dinner, symbolizing abundance and celebration.""The Goose is a central dish enjoyed by the Cratchit family during their Christmas dinner, symbolizing abundance and celebration.""The Goose is a central dish enjoyed by the Cratchit family during their Christmas dinner, symbolizing abundance and celebration.""The Goose is a central element of the Cratchit Christmas dinner, representing abundance and the joy of the holiday as the family eagerly anticipates its serving.""The Goose is a central part of the Cratchit family Christmas dinner, which they celebrate with excitement and anticipation, symbolizing abundance and joy.""The Goose is a central element of the Cratchit Christmas dinner, representing abundance and the joy of the holiday as the family eagerly anticipates its serving.""The Goose is a central element of the Cratchit Christmas dinner, representing abundance and the joy of the holiday as the family eagerly anticipates its serving.""The Goose is a central element of the Cratchit Christmas dinner, representing abundance and the joy of the holiday as the family eagerly anticipates its serving.""The Goose is a central element of the Cratchit Christmas dinner, representing abundance and the joy of the holiday as the family eagerly anticipates its serving."', 'source_id': 'chunk-503f0bfa5453467c7c61d160a3540ecachunk-7e2e7ebcc19a53b399dc03aded4743e7'}> -2024-10-30 06:53:03,854 - lightrag - INFO - get_node:query:MATCH (n:`THE WOMAN`) RETURN n:result:chunk-60fc063c79fc0d4acc91a57e79de04dcchunk-89777b838d5447c7bd1ec11282c4ee89'}> -2024-10-30 06:53:03,943 - lightrag - INFO - get_node:query:MATCH (n:`THE SCHOOLMASTER`) RETURN n:result: -2024-10-30 06:53:04,031 - lightrag - INFO - get_node:query:MATCH (n:`TWELFTH-NIGHT PARTY`) RETURN n:result: -2024-10-30 06:53:04,118 - lightrag - INFO - get_node:query:MATCH (n:`THE PHANTOM`) RETURN n:result:"The Phantom represents a ghostly presence guiding Scrooge through reflections on his life and future decisions.""The Phantom represents a ghostly presence guiding Scrooge through reflections on his life and future decisions.""The Phantom represents a ghostly presence guiding Scrooge through reflections on his life and future decisions.""The Phantom represents a ghostly presence guiding Scrooge through reflections on his life and future decisions.""The Phantom represents the supernatural element in Scrooge\'s journey of self-reflection and moral awakening."', 'source_id': 'chunk-f1a4fbcf1ed86864b9bfd5e8dba4c683'}> -2024-10-30 06:53:04,206 - lightrag - INFO - get_node:query:MATCH (n:`THE LAMPLIGHTER`) RETURN n:result:"The Lamplighter is a character who brings light to the street, symbolizing hope and joy as he dotting the dusky street with specks of light.""The Lamplighter is a character who brings light to the street, symbolizing hope and joy as he dotting the dusky street with specks of light.""The Lamplighter is a character who brings light to the street, symbolizing hope and joy as he dotting the dusky street with specks of light.""The Lamplighter is a character who brings light to the street, symbolizing hope and joy as he dotting the dusky street with specks of light.""The Lamplighter is a character who fills the street with light, representing the warmth and joy of the holiday season."', 'source_id': 'chunk-91614df5cb74cbe5e109a338a82041e9'}> -2024-10-30 06:53:04,297 - lightrag - INFO - get_node:query:MATCH (n:`MANSION`) RETURN n:result: -2024-10-30 06:53:04,387 - lightrag - INFO - get_node:query:MATCH (n:`CAROLINE`) RETURN n:result:"Caroline is portrayed as a mother filled with hope and emotion regarding her husband’s situation, revealing her character through her reactions to news.""Caroline is portrayed as a mother filled with hope and emotion regarding her husband’s situation, revealing her character through her reactions to news.""Caroline is portrayed as a mother filled with hope and emotion regarding her husband’s situation, revealing her character through her reactions to news.""Caroline is portrayed as a mother filled with hope and emotion regarding her husband’s situation, revealing her character through her reactions to news.""Caroline is portrayed as a mother filled with hope and emotion regarding her husband’s situation, revealing her character through her reactions to news."', 'source_id': 'chunk-83ac129dc9b56f84c46760d153d68e93'}> -2024-10-30 06:53:04,472 - lightrag - INFO - get_node:query:MATCH (n:`FRED`) RETURN n:result:"Fred is Ebenezer Scrooge\'s nephew, who embodies the spirit of Christmas and represents familial love and joy.""Fred is Scrooge\'s nephew who expresses admiration for Scrooge and raises a toast to his uncle during a Christmas gathering.""Fred is Scrooge\'s nephew, representing familial love and the joy of Christmas gatherings.""Fred is Scrooge\'s nephew, who invites Scrooge to dinner, emphasizing familial connections and the spirit of Christmas.""Fred is Scrooge\'s nephew, who is surprised by Scrooge\'s visit and is depicted as a friendly figure during the Christmas gathering."Fred is Ebenezer Scrooge\'s lively nephew, who embodies the spirit of Christmas and serves as a striking contrast to Scrooge\'s misanthropic nature. He represents familial love and joy, often inviting Scrooge to family gatherings and emphasizing the importance of familial connections during the holiday season. Fred expresses admiration for his uncle and raises a toast in his honor at Christmas gatherings, showcasing his warmth and festive spirit. His character highlights the warmth of family that Scrooge initially rejects, and he is depicted as a friendly figure who is surprised and pleased by Scrooge\'s unexpected visits. Overall, Fred exemplifies the joy and unity of Christmas, passionately inviting Scrooge to embrace the happiness associated with the holiday and family."Fred is Scrooge\'s nephew who expresses admiration for Scrooge and raises a toast to his uncle during a Christmas gathering.""Fred is Scrooge\'s nephew, representing familial love and the joy of Christmas gatherings.""Fred is Scrooge\'s nephew, who invites Scrooge to dinner, emphasizing familial connections and the spirit of Christmas.""Fred is Scrooge\'s nephew, who is surprised by Scrooge\'s visit and is depicted as a friendly figure during the Christmas gathering."', 'source_id': 'chunk-89777b838d5447c7bd1ec11282c4ee89chunk-e7637ff18c5ded77a68cce0a87883fadchunk-9e3921da66da5d761ab73cd849af6c43chunk-94bea83e7153fc2064aa382b494936a1chunk-8f738cb25d60a7dab782162d9d0a25ed'}> -2024-10-30 06:53:04,561 - lightrag - INFO - get_node:query:MATCH (n:`BAD REPUTE`) RETURN n:result: -2024-10-30 06:53:04,650 - lightrag - INFO - get_node:query:MATCH (n:`HOME`) RETURN n:result:"Home represents the physical and emotional center for the family, where the Christmas celebration takes place.""Home represents the physical and emotional center for the family, where the Christmas celebration takes place.""Home represents the physical and emotional center for the family, where the Christmas celebration takes place.""Home represents the physical and emotional center for the family, where the Christmas celebration takes place.""Home symbolizes warmth, safety, and family connection, representing what Scrooge yearns for but has lost in his life.""Home symbolizes warmth, safety, and family connection, representing what Scrooge yearns for but has lost in his life.""Home symbolizes warmth, safety, and family connection, representing what Scrooge yearns for but has lost in his life.""Home symbolizes warmth, safety, and family connection, representing what Scrooge yearns for but has lost in his life.""Home symbolizes warmth, safety, and family connection, representing what Scrooge yearns for but has lost in his life."', 'source_id': 'chunk-da2472b4ef2a535b62908f14d0fb0ca9chunk-c6c248858d1b13ab7ee9ca13c1aeed6b'}> -2024-10-30 06:53:04,737 - lightrag - INFO - get_node:query:MATCH (n:`THE OLD GENTLEMAN`) RETURN n:result: -2024-10-30 06:53:04,824 - lightrag - INFO - get_node:query:MATCH (n:`THE KNOCKER`) RETURN n:result:"The Knocker is a feature on Scrooge\'s door, which takes on a mystical quality when Scrooge perceives Marley\'s face in it.""The Knocker is a feature on Scrooge\'s door, which takes on a mystical quality when Scrooge perceives Marley\'s face in it.""The Knocker is a feature on Scrooge\'s door, which takes on a mystical quality when Scrooge perceives Marley\'s face in it.""The Knocker is a feature on Scrooge\'s door, which takes on a mystical quality when Scrooge perceives Marley\'s face in it.""The Knocker is a physical object that becomes a symbol of Scrooge\'s psyche, transforming into Marley\'s face, representing his guilt and past.""The Knocker is an ornate door knocker that Scrooge admires, reflecting his newfound appreciation for simple joys.""The Knocker on the door serves as a symbolic gateway to the supernatural events, being the first point of eerie interaction for Scrooge.""The Knocker is a physical object that symbolizes Scrooge\'s newfound appreciation for the simple, honest joys of life during Christmas.""The Knocker is a physical object that symbolizes Scrooge\'s newfound appreciation for the simple, honest joys of life during Christmas.""The Knocker is a physical object that symbolizes Scrooge\'s newfound appreciation for the simple, honest joys of life during Christmas.""The Knocker is a physical object that symbolizes Scrooge\'s newfound appreciation for the simple, honest joys of life during Christmas.""The Knocker is a physical object that symbolizes Scrooge\'s newfound appreciation for the simple, honest joys of life during Christmas."', 'source_id': 'chunk-d9aac3484185ac66045df92214d245d5chunk-9c43dac2fcd5b578242d907ea6f8fc7bchunk-8f738cb25d60a7dab782162d9d0a25ed'}> -2024-10-30 06:53:04,912 - lightrag - INFO - get_node:query:MATCH (n:`THE BELL`) RETURN n:result:"The Bell is described as a disused bell that starts to swing and ring during the haunting, signifying the onset of supernatural occurrences.""The Bell is a disused bell in Scrooge\'s room, which begins to swing and rings out loudly, heralding the appearance of Marley\'s Ghost.""The Bell is a disused bell in Scrooge\'s room, which begins to swing and rings out loudly, heralding the appearance of Marley\'s Ghost.""The Bell is a disused bell in Scrooge\'s room, which begins to swing and rings out loudly, heralding the appearance of Marley\'s Ghost.""The Bell is a disused bell in Scrooge\'s room, which begins to swing and rings out loudly, heralding the appearance of Marley\'s Ghost.""The Bell is a disused bell in Scrooge\'s room, which begins to swing and rings out loudly, heralding the appearance of Marley\'s Ghost."', 'source_id': 'chunk-9c43dac2fcd5b578242d907ea6f8fc7bchunk-cb661c37436355ccec2769b1d0350c5f'}> -2024-10-30 06:53:04,997 - lightrag - INFO - get_node:query:MATCH (n:`SHADOW OF HIMSELF`) RETURN n:result: -2024-10-30 06:53:05,083 - lightrag - INFO - get_node:query:MATCH (n:`MARKET-TOWN`) RETURN n:result:"The market-town appears in Scrooge\'s memories as a significant place from his childhood, representing a connection to his past.""The market-town appears in Scrooge\'s memories as a significant place from his childhood, representing a connection to his past.""The market-town appears in Scrooge\'s memories as a significant place from his childhood, representing a connection to his past.""The market-town appears in Scrooge\'s memories as a significant place from his childhood, representing a connection to his past.""The market-town appears in Scrooge\'s memories as a significant place from his childhood, representing a connection to his past."', 'source_id': 'chunk-bb21d58d36c6306fd8810ddd51c4a971'}> -2024-10-30 06:53:05,171 - lightrag - INFO - get_node:query:MATCH (n:`THE GHOST`) RETURN n:result:chunk-43c9bee23adfa77aa9dedd22401bba7dchunk-e7637ff18c5ded77a68cce0a87883fadchunk-359187e7571bda4b0b08b2e0b6581e52chunk-da2472b4ef2a535b62908f14d0fb0ca9chunk-c6c248858d1b13ab7ee9ca13c1aeed6bchunk-02baee20cc9463dbe08170a8e1043e32chunk-1aa50206d02ed89418f65f97c6441d1cchunk-cb661c37436355ccec2769b1d0350c5fchunk-54bdd22db1f84a965b5f4c06c9216d8dchunk-8590d9263cd2cd4fa583c432fc54e6c3chunk-83ac129dc9b56f84c46760d153d68e93chunk-9c43dac2fcd5b578242d907ea6f8fc7b'}> -2024-10-30 06:53:05,256 - lightrag - INFO - get_node:query:MATCH (n:`PEARS`) RETURN n:result: -2024-10-30 06:53:05,340 - lightrag - INFO - get_node:query:MATCH (n:`CRATCHIT FAMILY`) RETURN n:result:"The Cratchit Family consists of Bob, Mrs. Cratchit, and their children, embodying themes of family unity and contentment despite hardships.""The Cratchit Family consists of Bob, Mrs. Cratchit, and their children, embodying themes of family unity and contentment despite hardships.""The Cratchit Family consists of Bob, Mrs. Cratchit, and their children, embodying themes of family unity and contentment despite hardships.""The Cratchit Family consists of Bob, Mrs. Cratchit, and their children, embodying themes of family unity and contentment despite hardships.""The Cratchit Family is a close-knit family characterized by love and togetherness, celebrating Christmas with simple but joyful traditions.""The Cratchit Family is portrayed as a close-knit group who, despite their hardships, find joy and gratitude during the Christmas gathering.""The Cratchit Family is portrayed as a loving unit celebrating Christmas together, with various members actively participating in the festivities.""The Cratchit family represents a unit bound by love and resilience in the face of adversity, dealing with emotional and financial struggles.""The Cratchit Family is depicted as a warm and loving household celebrating Christmas together, with various members actively participating in the festivities.""The Cratchit Family is depicted as a warm and loving household celebrating Christmas together, with various members actively participating in the festivities.""The Cratchit Family is depicted as a warm and loving household celebrating Christmas together, with various members actively participating in the festivities.""The Cratchit Family is depicted as a warm and loving household celebrating Christmas together, with various members actively participating in the festivities.""The Cratchit Family is depicted as a warm and loving household celebrating Christmas together, with various members actively participating in the festivities."', 'source_id': 'chunk-503f0bfa5453467c7c61d160a3540ecachunk-19d72c57ae3408758b18d2568e86dc6bchunk-7e2e7ebcc19a53b399dc03aded4743e7chunk-83ac129dc9b56f84c46760d153d68e93'}> -2024-10-30 06:53:05,430 - lightrag - INFO - get_node:query:MATCH (n:`THE EVENT OF DEATH`) RETURN n:result: -2024-10-30 06:53:05,519 - lightrag - INFO - get_node:query:MATCH (n:`COLD WEATHER`) RETURN n:result:"Cold Weather sets the bleak and unforgiving atmosphere, reflecting Scrooge’s own personality and state of mind.""Cold Weather sets the bleak and unforgiving atmosphere, reflecting Scrooge’s own personality and state of mind.""Cold Weather sets the bleak and unforgiving atmosphere, reflecting Scrooge’s own personality and state of mind.""Cold Weather sets the bleak and unforgiving atmosphere, reflecting Scrooge’s own personality and state of mind.""Cold Weather sets the bleak and unforgiving atmosphere, reflecting Scrooge’s own personality and state of mind."', 'source_id': 'chunk-f1a4fbcf1ed86864b9bfd5e8dba4c683chunk-74e2466de2f67fd710ef2f20c0a8d9e0'}> -2024-10-30 06:53:05,607 - lightrag - INFO - get_node:query:MATCH (n:`THE GHOST OF MARLEY`) RETURN n:result:"The Ghost of Marley refers to the apparition that appears to Scrooge, serving as a catalyst for his transformation and moral reckoning.""The Ghost of Marley refers to the apparition that appears to Scrooge, serving as a catalyst for his transformation and moral reckoning.""The Ghost of Marley refers to the apparition that appears to Scrooge, serving as a catalyst for his transformation and moral reckoning.""The Ghost of Marley refers to the apparition that appears to Scrooge, serving as a catalyst for his transformation and moral reckoning.""The Ghost of Marley refers to the apparition that appears to Scrooge, serving as a catalyst for his transformation and moral reckoning."', 'source_id': 'chunk-d9aac3484185ac66045df92214d245d5'}> -2024-10-30 06:53:05,693 - lightrag - INFO - get_node:query:MATCH (n:`COUNTING-HOUSE`) RETURN n:result:"Scrooge\'s counting-house is the place of his work, characterized by coldness and a lack of warmth or holiday spirit.""Scrooge\'s counting-house is the place of his work, characterized by coldness and a lack of warmth or holiday spirit.""Scrooge\'s counting-house is the place of his work, characterized by coldness and a lack of warmth or holiday spirit.""Scrooge\'s counting-house is the place of his work, characterized by coldness and a lack of warmth or holiday spirit.""The Counting-House is a physical space representing the business environment where Scrooge and Marley engaged in trade but also symbolizes their limited worldview.""The Counting-house is the place where Scrooge conducted his business and represents the limitations of his previous life.""The Counting-house is the place where Scrooge conducted his business and represents the limitations of his previous life.""The Counting-house is the place where Scrooge conducted his business and represents the limitations of his previous life.""The Counting-house is the place where Scrooge conducted his business and represents the limitations of his previous life.""The Counting-house is the place where Scrooge conducted his business and represents the limitations of his previous life."', 'source_id': 'chunk-359187e7571bda4b0b08b2e0b6581e52chunk-74e2466de2f67fd710ef2f20c0a8d9e0'}> -2024-10-30 06:53:05,782 - lightrag - INFO - get_node:query:MATCH (n:`THE HUSBAND`) RETURN n:result: -2024-10-30 06:53:05,868 - lightrag - INFO - get_node:query:MATCH (n:`SCROOGE`) RETURN n:result:chunk-b0f459f5af1c3a5e0b92cbe4ee48b77bchunk-e7637ff18c5ded77a68cce0a87883fadchunk-359187e7571bda4b0b08b2e0b6581e52chunk-e1f29eeadc1d8ab46dc8a0bbd3c56b64chunk-c6c248858d1b13ab7ee9ca13c1aeed6bchunk-cb661c37436355ccec2769b1d0350c5fchunk-f1a4fbcf1ed86864b9bfd5e8dba4c683chunk-99b0ec7f7e006561352b5d65e849611dchunk-843b5b2f944c7413d9ca876e2e2f151fchunk-90b95db5c53e4364a6bee36b7aa4d70fchunk-19d72c57ae3408758b18d2568e86dc6bchunk-02baee20cc9463dbe08170a8e1043e32chunk-503f0bfa5453467c7c61d160a3540ecachunk-91572b3cd42786ba4cb2f180ca25cbf4chunk-83ac129dc9b56f84c46760d153d68e93chunk-8f738cb25d60a7dab782162d9d0a25edchunk-94bea83e7153fc2064aa382b494936a1chunk-9c43dac2fcd5b578242d907ea6f8fc7bchunk-74e2466de2f67fd710ef2f20c0a8d9e0chunk-89777b838d5447c7bd1ec11282c4ee89chunk-d9aac3484185ac66045df92214d245d5chunk-90d5764e301321c087f5a8f78b73a145chunk-91614df5cb74cbe5e109a338a82041e9chunk-54bdd22db1f84a965b5f4c06c9216d8dchunk-773d0df1dd25c356f7b771d780583e09chunk-5dac41b3f9eeaf794f0147400b1718cdchunk-43c9bee23adfa77aa9dedd22401bba7dchunk-da2472b4ef2a535b62908f14d0fb0ca9chunk-1aa50206d02ed89418f65f97c6441d1cchunk-8590d9263cd2cd4fa583c432fc54e6c3chunk-b2f98bc7abb0c67d4c86055c7fd72218chunk-bb21d58d36c6306fd8810ddd51c4a971'}> -2024-10-30 06:53:05,955 - lightrag - INFO - get_node:query:MATCH (n:`THE GENTLEMEN`) RETURN n:result: -2024-10-30 06:53:06,038 - lightrag - INFO - get_node:query:MATCH (n:`THE COUNTESS`) RETURN n:result:"The Countess is mentioned by Martha, indicating an encounter that highlights the social stratification and aspirations of the Cratchit family.""The Countess is mentioned by Martha, indicating an encounter that highlights the social stratification and aspirations of the Cratchit family.""The Countess is mentioned by Martha, indicating an encounter that highlights the social stratification and aspirations of the Cratchit family.""The Countess is mentioned by Martha, indicating an encounter that highlights the social stratification and aspirations of the Cratchit family.""The Countess is referenced by Martha, showcasing her interaction with figures of higher social status, contrasting with the Cratchit family\'s situation."', 'source_id': 'chunk-19d72c57ae3408758b18d2568e86dc6b'}> -2024-10-30 06:53:06,125 - lightrag - INFO - get_node:query:MATCH (n:`CHRISTMAS-TIME`) RETURN n:result:"Christmas-Time refers to the period surrounding Christmas, laden with connotations of joy, generosity, and family gatherings, which Scrooge vehemently criticizes.""Christmas-Time refers to the period surrounding Christmas, laden with connotations of joy, generosity, and family gatherings, which Scrooge vehemently criticizes.""Christmas-Time refers to the period surrounding Christmas, laden with connotations of joy, generosity, and family gatherings, which Scrooge vehemently criticizes.""Christmas-Time refers to the period surrounding Christmas, laden with connotations of joy, generosity, and family gatherings, which Scrooge vehemently criticizes.""Christmas-time is characterized as a period filled with festivities, joy, and community engagement, which Scrooge regards cynically.""Christmas-time represents the festive season, a recurring theme that evokes memories and emotions in Scrooge’s reflections.""Christmas-time serves as a backdrop for the narrative, emphasizing themes of reflection, mortality, and social interactions.""Christmas-time symbolizes a period of joy and reunion, characterized by scenes of celebration and warmth in the story.""Christmas-time symbolizes a period of joy and reunion, characterized by scenes of celebration and warmth in the story.""Christmas-time symbolizes a period of joy and reunion, characterized by scenes of celebration and warmth in the story.""Christmas-time symbolizes a period of joy and reunion, characterized by scenes of celebration and warmth in the story.""Christmas-time symbolizes a period of joy and reunion, characterized by scenes of celebration and warmth in the story."', 'source_id': 'chunk-f1a4fbcf1ed86864b9bfd5e8dba4c683chunk-5dac41b3f9eeaf794f0147400b1718cdchunk-c6c248858d1b13ab7ee9ca13c1aeed6b'}> -2024-10-30 06:53:06,213 - lightrag - INFO - get_node:query:MATCH (n:`THE YOUNG GIRL`) RETURN n:result: -2024-10-30 06:53:06,301 - lightrag - INFO - get_node:query:MATCH (n:`THE CLOCK`) RETURN n:result:"The Clock is mentioned as malfunctioning, which symbolizes the confusion and distortion of time that Scrooge experiences during his nighttime visitations.""The Clock serves as a symbol of time passing, reflecting Scrooge\'s disorientation regarding time as he transitions between reality and the supernatural.""The Clock signifies the passage of time during the Domestic Ball and plays a role in marking the end of the celebration.""The Clock serves as a symbol of time passing, reflecting Scrooge\'s disorientation regarding time as he transitions between reality and the supernatural.""The Clock signifies the passage of time during the Domestic Ball and plays a role in marking the end of the celebration.""The Clock serves as a symbol of time passing, reflecting Scrooge\'s disorientation regarding time as he transitions between reality and the supernatural.""The Clock signifies the passage of time during the Domestic Ball and plays a role in marking the end of the celebration.""The Clock serves as a symbol of time passing, reflecting Scrooge\'s disorientation regarding time as he transitions between reality and the supernatural.""The Clock signifies the passage of time during the Domestic Ball and plays a role in marking the end of the celebration.""The Clock serves as a symbol of time passing, reflecting Scrooge\'s disorientation regarding time as he transitions between reality and the supernatural.""The Clock signifies the passage of time during the Domestic Ball and plays a role in marking the end of the celebration."', 'source_id': 'chunk-c7b10789a9cb0af6c553730b29bd9034chunk-b2f98bc7abb0c67d4c86055c7fd72218chunk-cb661c37436355ccec2769b1d0350c5f'}> -2024-10-30 06:53:06,391 - lightrag - INFO - get_node:query:MATCH (n:`THE COMELY MATRON`) RETURN n:result: -2024-10-30 06:53:06,482 - lightrag - INFO - get_node:query:MATCH (n:`MASTER SCROOGE`) RETURN n:result: -2024-10-30 06:53:06,575 - lightrag - INFO - get_node:query:MATCH (n:`GREAT BRITAIN`) RETURN n:result:"Great Britain is a location mentioned as having chimneys that appear to be catching fire and is the setting for a gloomy climate during Christmas time.""Great Britain is a location mentioned as having chimneys that appear to be catching fire and is the setting for a gloomy climate during Christmas time.""Great Britain is a location mentioned as having chimneys that appear to be catching fire and is the setting for a gloomy climate during Christmas time.""Great Britain is a location mentioned as having chimneys that appear to be catching fire and is the setting for a gloomy climate during Christmas time.""Great Britain is referenced as a location suffering from severe weather, which contrasts with the cheerful activities of its people during Christmas."', 'source_id': 'chunk-99b0ec7f7e006561352b5d65e849611d'}> -2024-10-30 06:53:06,664 - lightrag - INFO - get_node:query:MATCH (n:`SCHOOL`) RETURN n:result: -2024-10-30 06:53:06,752 - lightrag - INFO - get_node:query:MATCH (n:`THE COUNTING-HOUSE`) RETURN n:result:"The Counting-House is where Scrooge works and is characterized by its cold and unwelcoming environment.""The Counting-House is the place where Scrooge works, reflecting a business environment lacking warmth or joy.""The Counting-House is the place where Scrooge works, reflecting a business environment lacking warmth or joy.""The Counting-House is the place where Scrooge works, reflecting a business environment lacking warmth or joy.""The Counting-House is the place where Scrooge works, reflecting a business environment lacking warmth or joy.""The Counting-House is the place where Scrooge works, reflecting a business environment lacking warmth or joy."', 'source_id': 'chunk-d9aac3484185ac66045df92214d245d5chunk-74e2466de2f67fd710ef2f20c0a8d9e0'}> -2024-10-30 06:53:06,840 - lightrag - INFO - get_node:query:MATCH (n:`THE DRESSING-GOWN`) RETURN n:result:"The Dressing-Gown is worn by Scrooge, symbolizing his state of vulnerability and introspection as he grapples with profound ideas in the narrative.""The Dressing-Gown is worn by Scrooge, symbolizing his state of vulnerability and introspection as he grapples with profound ideas in the narrative.""The Dressing-Gown is worn by Scrooge, symbolizing his state of vulnerability and introspection as he grapples with profound ideas in the narrative.""The Dressing-Gown is worn by Scrooge, symbolizing his state of vulnerability and introspection as he grapples with profound ideas in the narrative.""The Dressing-Gown is worn by Scrooge, symbolizing his state of vulnerability and introspection as he grapples with profound ideas in the narrative."', 'source_id': 'chunk-c7b10789a9cb0af6c553730b29bd9034chunk-9c43dac2fcd5b578242d907ea6f8fc7b'}> -2024-10-30 06:53:06,931 - lightrag - INFO - get_node:query:MATCH (n:`CHURCH`) RETURN n:result: -2024-10-30 06:53:07,018 - lightrag - INFO - get_node:query:MATCH (n:`BOYS`) RETURN n:result: -2024-10-30 06:53:07,105 - lightrag - INFO - get_node:query:MATCH (n:`THE COLD`) RETURN n:result: -2024-10-30 06:53:07,190 - lightrag - INFO - get_node:query:MATCH (n:`THE WINE-MERCHANT'S CELLAR`) RETURN n:result:"The Wine-Merchant\'s Cellar is a location within The House where sounds of dragging chains are heard, signifying a haunted presence.""The Wine-Merchant\'s Cellar is a location within The House where sounds of dragging chains are heard, signifying a haunted presence.""The Wine-Merchant\'s Cellar is a location within The House where sounds of dragging chains are heard, signifying a haunted presence.""The Wine-Merchant\'s Cellar is a location within The House where sounds of dragging chains are heard, signifying a haunted presence.""The Wine-Merchant\'s Cellar is a location within The House where sounds of dragging chains are heard, signifying a haunted presence."', 'source_id': 'chunk-9c43dac2fcd5b578242d907ea6f8fc7b'}> -2024-10-30 06:53:07,277 - lightrag - INFO - get_node:query:MATCH (n:`THE PARROT`) RETURN n:result: -2024-10-30 06:53:07,361 - lightrag - INFO - get_node:query:MATCH (n:`THE MEMORY`) RETURN n:result: -2024-10-30 06:53:07,452 - lightrag - INFO - get_node:query:MATCH (n:`SCROOGE AND MARLEY'S`) RETURN n:result: -2024-10-30 06:53:07,540 - lightrag - INFO - get_node:query:MATCH (n:`IGNORANCE`) RETURN n:result:"Ignorance is personified as a boy that symbolizes the dangers of ignoring social issues and the consequences of a lack of awareness.""Ignorance personifies a societal failing, depicted as a child, warning of the dangers of neglect and moral responsibility.""Ignorance refers to one of the two children presented by the Spirit, symbolizing societal neglect and the consequences of lack of awareness.""Ignorance personifies a societal failing, depicted as a child, warning of the dangers of neglect and moral responsibility.""Ignorance refers to one of the two children presented by the Spirit, symbolizing societal neglect and the consequences of lack of awareness.""Ignorance personifies a societal failing, depicted as a child, warning of the dangers of neglect and moral responsibility.""Ignorance refers to one of the two children presented by the Spirit, symbolizing societal neglect and the consequences of lack of awareness.""Ignorance personifies a societal failing, depicted as a child, warning of the dangers of neglect and moral responsibility.""Ignorance refers to one of the two children presented by the Spirit, symbolizing societal neglect and the consequences of lack of awareness.""Ignorance personifies a societal failing, depicted as a child, warning of the dangers of neglect and moral responsibility.""Ignorance refers to one of the two children presented by the Spirit, symbolizing societal neglect and the consequences of lack of awareness."', 'source_id': 'chunk-02baee20cc9463dbe08170a8e1043e32chunk-e7637ff18c5ded77a68cce0a87883fad'}> -2024-10-30 06:53:07,629 - lightrag - INFO - get_node:query:MATCH (n:`BUSINESSMEN`) RETURN n:result: -2024-10-30 06:53:07,714 - lightrag - INFO - get_node:query:MATCH (n:`THE TANK`) RETURN n:result:"The Tank is the workplace setting where Bob Cratchit works under Scrooge, highlighting the power dynamics in their relationship.""The Tank is the workplace setting where Bob Cratchit works under Scrooge, highlighting the power dynamics in their relationship.""The Tank is the workplace setting where Bob Cratchit works under Scrooge, highlighting the power dynamics in their relationship.""The Tank is the workplace setting where Bob Cratchit works under Scrooge, highlighting the power dynamics in their relationship.""The Tank refers to Bob Cratchit\'s work area, where he encounters Scrooge and faces the consequences of arriving late."', 'source_id': 'chunk-94bea83e7153fc2064aa382b494936a1'}> -2024-10-30 06:53:07,799 - lightrag - INFO - get_node:query:MATCH (n:`GAOL`) RETURN n:result:"Gaol refers to a prison, illustrating the theme of social justice and the conditions of the impoverished in society.""Gaol refers to a prison, illustrating the theme of social justice and the conditions of the impoverished in society.""Gaol refers to a prison, illustrating the theme of social justice and the conditions of the impoverished in society.""Gaol refers to a prison, illustrating the theme of social justice and the conditions of the impoverished in society.""The Gaol symbolizes imprisonment and despair, representing the societal failings and the need for mercy and understanding."', 'source_id': 'chunk-e7637ff18c5ded77a68cce0a87883fad'}> -2024-10-30 06:53:07,889 - lightrag - INFO - get_node:query:MATCH (n:`FIGS`) RETURN n:result: -2024-10-30 06:53:07,977 - lightrag - INFO - get_node:query:MATCH (n:`THE GHOST OF JACOB MARLEY`) RETURN n:result: -2024-10-30 06:53:08,068 - lightrag - INFO - get_node:query:MATCH (n:`CHRISTMAS EVE`) RETURN n:result:"Christmas Eve is a significant time in the story, marked by celebrations and gatherings led by Fezziwig.""Christmas Eve is a significant time in the story, marked by celebrations and gatherings led by Fezziwig.""Christmas Eve is a significant time in the story, marked by celebrations and gatherings led by Fezziwig.""Christmas Eve is a significant time in the story, marked by celebrations and gatherings led by Fezziwig.""Christmas Eve is depicted as a significant time, bringing about joyful activities like sliding down snow hills, contrasting with Scrooge\'s dour demeanor.""Christmas Eve is the night before Christmas, serving as the backdrop for the lively celebrations and dances hosted by Fezziwig.""Christmas Eve is the specific time setting in the story, highlighting the contrast between the joy of the holiday and Scrooge\'s negativity.""Christmas Eve is the day prior to Christmas, a time that carries festive significance and anticipation in the narrative.""Christmas Eve is the day prior to Christmas, a time that carries festive significance and anticipation in the narrative.""Christmas Eve is the day prior to Christmas, a time that carries festive significance and anticipation in the narrative.""Christmas Eve is the day prior to Christmas, a time that carries festive significance and anticipation in the narrative.""Christmas Eve is the day prior to Christmas, a time that carries festive significance and anticipation in the narrative."', 'source_id': 'chunk-d9aac3484185ac66045df92214d245d5chunk-8bc1edd983869352d14cf0886a9175a7chunk-74e2466de2f67fd710ef2f20c0a8d9e0'}> -2024-10-30 06:53:08,152 - lightrag - INFO - get_node:query:MATCH (n:`CHRISTMAS DAY`) RETURN n:result:"Christmas Day is a significant holiday that marks the time of Scrooge\'s revelation and intent to change.""Christmas Day is celebrated by the Cratchit family with a communal meal and expressions of joy and togetherness, highlighting the importance of family and gratitude.""Christmas Day serves as the central event around which the family gathers and reflects on their feelings towards Scrooge.""Christmas Day is portrayed as a day of celebration and gathering, emphasizing themes of togetherness and generosity.""Christmas Day serves as a central event for the gathering of the Cratchit family, filled with mixed feelings about their employer, Scrooge.""Christmas Day serves as the backdrop for Scrooge\'s transformation, representing joy, celebration, and new beginnings.""Christmas Day is portrayed as a day of celebration and gathering, emphasizing themes of togetherness and generosity.""Christmas Day serves as a central event for the gathering of the Cratchit family, filled with mixed feelings about their employer, Scrooge.""Christmas Day serves as the backdrop for Scrooge\'s transformation, representing joy, celebration, and new beginnings.""Christmas Day is portrayed as a day of celebration and gathering, emphasizing themes of togetherness and generosity.""Christmas Day serves as a central event for the gathering of the Cratchit family, filled with mixed feelings about their employer, Scrooge.""Christmas Day serves as the backdrop for Scrooge\'s transformation, representing joy, celebration, and new beginnings.""Christmas Day is portrayed as a day of celebration and gathering, emphasizing themes of togetherness and generosity.""Christmas Day serves as a central event for the gathering of the Cratchit family, filled with mixed feelings about their employer, Scrooge.""Christmas Day serves as the backdrop for Scrooge\'s transformation, representing joy, celebration, and new beginnings.""Christmas Day is portrayed as a day of celebration and gathering, emphasizing themes of togetherness and generosity.""Christmas Day serves as a central event for the gathering of the Cratchit family, filled with mixed feelings about their employer, Scrooge.""Christmas Day serves as the backdrop for Scrooge\'s transformation, representing joy, celebration, and new beginnings."', 'source_id': 'chunk-19d72c57ae3408758b18d2568e86dc6bchunk-90b95db5c53e4364a6bee36b7aa4d70fchunk-7e2e7ebcc19a53b399dc03aded4743e7chunk-b0f459f5af1c3a5e0b92cbe4ee48b77b'}> -2024-10-30 06:53:08,237 - lightrag - INFO - get_node:query:MATCH (n:`THE PHANTOM VOICES`) RETURN n:result: -2024-10-30 06:53:08,325 - lightrag - INFO - get_node:query:MATCH (n:`CHILD`) RETURN n:result: -2024-10-30 06:53:08,415 - lightrag - INFO - get_node:query:MATCH (n:`CLOCK`) RETURN n:result: -2024-10-30 06:53:08,505 - lightrag - INFO - get_node:query:MATCH (n:`JACOB`) RETURN n:result:"Jacob is Scrooge\'s old partner whose death is acknowledged, influencing Scrooge\'s reflections on his own life and future.""Jacob is Scrooge\'s old partner whose death is acknowledged, influencing Scrooge\'s reflections on his own life and future.""Jacob is Scrooge\'s old partner whose death is acknowledged, influencing Scrooge\'s reflections on his own life and future.""Jacob is Scrooge\'s old partner whose death is acknowledged, influencing Scrooge\'s reflections on his own life and future.""Jacob is referenced as Scrooge\'s old partner, significant for his recent death and the impact of this event on Scrooge\'s reflections."', 'source_id': 'chunk-f1a4fbcf1ed86864b9bfd5e8dba4c683'}> -2024-10-30 06:53:08,593 - lightrag - INFO - get_node:query:MATCH (n:`GHOST OF JACOB MARLEY`) RETURN n:result:"The Ghost of Jacob Marley is the specter of Scrooge\'s former business partner, who warns Scrooge to change his ways.""The Ghost of Jacob Marley is the specter of Scrooge\'s former business partner, who warns Scrooge to change his ways.""The Ghost of Jacob Marley is the specter of Scrooge\'s former business partner, who warns Scrooge to change his ways.""The Ghost of Jacob Marley is the specter of Scrooge\'s former business partner, who warns Scrooge to change his ways.""The Ghost of Jacob Marley is the specter of Scrooge\'s former business partner, who warns Scrooge to change his ways."', 'source_id': 'chunk-9e3921da66da5d761ab73cd849af6c43'}> -2024-10-30 06:53:08,683 - lightrag - INFO - get_node:query:MATCH (n:`THE GHOST OF CHRISTMAS PAST`) RETURN n:result:"The Ghost of Christmas Past is a supernatural entity that allows Scrooge to revisit and reflect on his previous life experiences.""The Ghost of Christmas Past is a supernatural entity that allows Scrooge to revisit and reflect on his previous life experiences.""The Ghost of Christmas Past is a supernatural entity that allows Scrooge to revisit and reflect on his previous life experiences.""The Ghost of Christmas Past is a supernatural entity that allows Scrooge to revisit and reflect on his previous life experiences.""The Ghost of Christmas Past is a supernatural entity that shows Scrooge moments from his past, eliciting reflection and emotion.""The Ghost of Christmas Past represents Scrooge\'s history and helps him confront his former self and decisions made in life.""The Ghost of Christmas Past represents Scrooge\'s history and helps him confront his former self and decisions made in life.""The Ghost of Christmas Past represents Scrooge\'s history and helps him confront his former self and decisions made in life.""The Ghost of Christmas Past represents Scrooge\'s history and helps him confront his former self and decisions made in life.""The Ghost of Christmas Past represents Scrooge\'s history and helps him confront his former self and decisions made in life."', 'source_id': 'chunk-b2f98bc7abb0c67d4c86055c7fd72218chunk-90b95db5c53e4364a6bee36b7aa4d70f'}> -2024-10-30 06:53:08,770 - lightrag - INFO - get_node:query:MATCH (n:`THE TURKEY`) RETURN n:result:"The Turkey represents a key symbol of generosity and festivity during Christmas, as Scrooge purchases it to spread joy.""The Turkey symbolizes the generosity and festive spirit that Scrooge embraces following his transformation.""The Turkey represents a key symbol of generosity and festivity during Christmas, as Scrooge purchases it to spread joy.""The Turkey symbolizes the generosity and festive spirit that Scrooge embraces following his transformation.""The Turkey represents a key symbol of generosity and festivity during Christmas, as Scrooge purchases it to spread joy.""The Turkey symbolizes the generosity and festive spirit that Scrooge embraces following his transformation.""The Turkey represents a key symbol of generosity and festivity during Christmas, as Scrooge purchases it to spread joy.""The Turkey symbolizes the generosity and festive spirit that Scrooge embraces following his transformation.""The Turkey represents a key symbol of generosity and festivity during Christmas, as Scrooge purchases it to spread joy.""The Turkey symbolizes the generosity and festive spirit that Scrooge embraces following his transformation."', 'source_id': 'chunk-8f738cb25d60a7dab782162d9d0a25edchunk-90b95db5c53e4364a6bee36b7aa4d70f'}> -2024-10-30 06:53:08,855 - lightrag - INFO - get_node:query:MATCH (n:`MISERY'S REFUGE`) RETURN n:result: -2024-10-30 06:53:08,942 - lightrag - INFO - get_node:query:MATCH (n:`BEGGARS`) RETURN n:result: -2024-10-30 06:53:09,026 - lightrag - INFO - get_node:query:MATCH (n:`OLD JOE`) RETURN n:result:"Old Joe is a grey-haired man who runs a shop where people come to sell their belongings after a death, embodying a rough, pragmatic character.""Old Joe is a grey-haired man who runs a shop where people come to sell their belongings after a death, embodying a rough, pragmatic character.""Old Joe is a grey-haired man who runs a shop where people come to sell their belongings after a death, embodying a rough, pragmatic character.""Old Joe is a grey-haired man who runs a shop where people come to sell their belongings after a death, embodying a rough, pragmatic character.""Old Joe is a grey-haired man, nearly seventy years old, who runs a shop and conducts business in a rather nonchalant manner, showcasing a certain charm amidst his questionable dealings."', 'source_id': 'chunk-60fc063c79fc0d4acc91a57e79de04dc'}> -2024-10-30 06:53:09,116 - lightrag - INFO - get_node:query:MATCH (n:`THE THREE SPIRITS`) RETURN n:result:"The Three Spirits are the apparitions that Jacob Marley warns Scrooge about, who will visit him to guide him toward redemption.""The Three Spirits are the apparitions that Jacob Marley warns Scrooge about, who will visit him to guide him toward redemption.""The Three Spirits are the apparitions that Jacob Marley warns Scrooge about, who will visit him to guide him toward redemption.""The Three Spirits are the apparitions that Jacob Marley warns Scrooge about, who will visit him to guide him toward redemption.""The Three Spirits refer to the supernatural beings that are prophesied to visit Scrooge, each representing different aspects of time and morality."', 'source_id': 'chunk-cb661c37436355ccec2769b1d0350c5f'}> -2024-10-30 06:53:09,202 - lightrag - INFO - get_node:query:MATCH (n:`FEZZIWIG`) RETURN n:result:"Fezziwig is a character known for hosting a domestic ball that brings joy and merriment to the participants, showcasing his ability to create happiness.""Fezziwig is a joyful and lively character who dances with Mrs. Fezziwig, embodying the festive spirit of Christmas.""Fezziwig is presented as Scrooge\'s former employer, known for his jovial nature and generous spirit, who plays a significant role in Scrooge\'s memories.""Fezziwig is the owner of a business where festive celebrations take place, known for his jovial character and ability to create a lively atmosphere."Fezziwig is a character renowned for his role as a joyful and jovial employer who hosts domestic balls, creating an atmosphere filled with happiness and merriment for his participants. He is depicted as a kind-hearted figure who organizes lively Christmas festivities for his employees, exemplifying kindness and generosity. Fezziwig plays a significant role in the memories of Ebenezer Scrooge, being portrayed as his former employer who embodies the true spirit of Christmas.\n\nHe is often seen dancing with his wife, Mrs. Fezziwig, which further illustrates his cheerful nature and the festive spirit surrounding the celebrations. As the owner of a business where these vibrant festivities take place, Fezziwig is celebrated for his ability to create a lively and joyful environment, leaving a lasting impression on those who encounter him during the festive seasons. His portrayal encapsulates the essence of joy, generosity, and the festive spirit, making him a beloved character in the narrative of Scrooge\'s past."Fezziwig is a joyful and lively character who dances with Mrs. Fezziwig, embodying the festive spirit of Christmas.""Fezziwig is presented as Scrooge\'s former employer, known for his jovial nature and generous spirit, who plays a significant role in Scrooge\'s memories.""Fezziwig is the owner of a business where festive celebrations take place, known for his jovial character and ability to create a lively atmosphere."', 'source_id': 'chunk-b2f98bc7abb0c67d4c86055c7fd72218chunk-c6c248858d1b13ab7ee9ca13c1aeed6bchunk-8bc1edd983869352d14cf0886a9175a7chunk-89777b838d5447c7bd1ec11282c4ee89'}> -2024-10-30 06:53:09,288 - lightrag - INFO - get_node:query:MATCH (n:`TOPPER`) RETURN n:result:chunk-43c9bee23adfa77aa9dedd22401bba7dchunk-94bea83e7153fc2064aa382b494936a1'}> -2024-10-30 06:53:09,392 - lightrag - INFO - get_node:query:MATCH (n:`THE GHOST OF CHRISTMAS FUTURE`) RETURN n:result: -2024-10-30 06:53:09,486 - lightrag - INFO - get_node:query:MATCH (n:`DARKNESS`) RETURN n:result: -2024-10-30 06:53:09,573 - lightrag - INFO - get_node:query:MATCH (n:`THE CRATCHIT HOUSEHOLD`) RETURN n:result: -2024-10-30 06:53:09,659 - lightrag - INFO - get_node:query:MATCH (n:`THE HEAVY CHAIN`) RETURN n:result: -2024-10-30 06:53:09,745 - lightrag - INFO - get_node:query:MATCH (n:`MARTHA`) RETURN n:result:"Martha is the daughter in the Cratchit family, who makes a dramatic entrance to surprise her family, highlighting the family\'s closeness.""Martha is the daughter in the Cratchit family, who makes a dramatic entrance to surprise her family, highlighting the family\'s closeness.""Martha is the daughter in the Cratchit family, who makes a dramatic entrance to surprise her family, highlighting the family\'s closeness.""Martha is the daughter in the Cratchit family, who makes a dramatic entrance to surprise her family, highlighting the family\'s closeness.""Martha is the daughter in the Cratchit family, who makes a dramatic entrance to surprise her family, highlighting the family\'s closeness."', 'source_id': 'chunk-19d72c57ae3408758b18d2568e86dc6bchunk-7e2e7ebcc19a53b399dc03aded4743e7'}> -2024-10-30 06:53:09,830 - lightrag - INFO - get_node:query:MATCH (n:`PEOPLE`) RETURN n:result: -2024-10-30 06:53:09,919 - lightrag - INFO - get_node:query:MATCH (n:`THE DOWERLESS GIRL`) RETURN n:result: -2024-10-30 06:53:10,003 - lightrag - INFO - get_node:query:MATCH (n:`THE GHOST OF CHRISTMAS PRESENT`) RETURN n:result:"The Ghost of Christmas Present is a supernatural being that shows Scrooge the true spirit of Christmas, including kindness towards the poor.""The Ghost of Christmas Present signifies abundance and the spirit of joy that Scrooge is encouraged to embrace.""The Ghost of Christmas Present is one of the spirits that help Scrooge understand the importance of generosity and compassion during the festive season.""The Ghost of Christmas Present is one of the spirits that help Scrooge understand the importance of generosity and compassion during the festive season.""The Ghost of Christmas Present is one of the spirits that help Scrooge understand the importance of generosity and compassion during the festive season.""The Ghost of Christmas Present is one of the spirits that help Scrooge understand the importance of generosity and compassion during the festive season.""The Ghost of Christmas Present is one of the spirits that help Scrooge understand the importance of generosity and compassion during the festive season."', 'source_id': 'chunk-43c9bee23adfa77aa9dedd22401bba7dchunk-90b95db5c53e4364a6bee36b7aa4d70fchunk-b0f459f5af1c3a5e0b92cbe4ee48b77b'}> -2024-10-30 06:53:10,091 - lightrag - INFO - get_node:query:MATCH (n:`THE FATHER`) RETURN n:result:"The Father is a character who returns home and is greeted with excitement, embodying family warmth and joy during Christmas celebrations.""The Father is a character who returns home with presents, symbolizing the joy of family and the spirit of giving during Christmas.""The Father is a character who returns home and is greeted with excitement, embodying family warmth and joy during Christmas celebrations.""The Father is a character who returns home with presents, symbolizing the joy of family and the spirit of giving during Christmas.""The Father is a character who returns home and is greeted with excitement, embodying family warmth and joy during Christmas celebrations.""The Father is a character who returns home with presents, symbolizing the joy of family and the spirit of giving during Christmas.""The Father is a character who returns home and is greeted with excitement, embodying family warmth and joy during Christmas celebrations.""The Father is a character who returns home with presents, symbolizing the joy of family and the spirit of giving during Christmas.""The Father is a character who returns home and is greeted with excitement, embodying family warmth and joy during Christmas celebrations.""The Father is a character who returns home with presents, symbolizing the joy of family and the spirit of giving during Christmas."', 'source_id': 'chunk-54bdd22db1f84a965b5f4c06c9216d8dchunk-da2472b4ef2a535b62908f14d0fb0ca9'}> -2024-10-30 06:53:10,176 - lightrag - INFO - get_node:query:MATCH (n:`THE DECEASED MAN`) RETURN n:result: -2024-10-30 06:53:10,265 - lightrag - INFO - get_node:query:MATCH (n:`CHRISTMAS EVES`) RETURN n:result:"Christmas Eves refer to the time periods associated with the spirits\' visits, specifically connecting to themes of reflection and redemption during the festive season.""Christmas Eves refer to the time periods associated with the spirits\' visits, specifically connecting to themes of reflection and redemption during the festive season.""Christmas Eves refer to the time periods associated with the spirits\' visits, specifically connecting to themes of reflection and redemption during the festive season.""Christmas Eves refer to the time periods associated with the spirits\' visits, specifically connecting to themes of reflection and redemption during the festive season.""Christmas Eves refers to the recurring time periods that Marley reflects upon, indicating the weight of his past decisions leading to regret."', 'source_id': 'chunk-359187e7571bda4b0b08b2e0b6581e52'}> -2024-10-30 06:53:10,357 - lightrag - INFO - get_node:query:MATCH (n:`GRAVE`) RETURN n:result: -2024-10-30 06:53:10,445 - lightrag - INFO - get_node:query:MATCH (n:`THE FOUNDER OF THE FEAST`) RETURN n:result: -2024-10-30 06:53:10,534 - lightrag - INFO - get_node:query:MATCH (n:`THE CRATCHIT HOUSE`) RETURN n:result: -2024-10-30 06:53:10,624 - lightrag - INFO - get_node:query:MATCH (n:`FAN`) RETURN n:result:"Fan is Ebenezer Scrooge\'s sister, who represents love and kindness from Scrooge\'s past, influencing his character development.""Fan is Ebenezer Scrooge\'s sister, who represents love and kindness from Scrooge\'s past, influencing his character development.""Fan is Ebenezer Scrooge\'s sister, who represents love and kindness from Scrooge\'s past, influencing his character development.""Fan is Ebenezer Scrooge\'s sister, who represents love and kindness from Scrooge\'s past, influencing his character development.""Fan is Scrooge\'s caring sister who represents innocence and love, showcasing a more tender side of Scrooge’s past.""Fan is Scrooge\'s younger sister, who brings joy and the promise of a happier home, reflecting on their childhood relationship.""Fan is Scrooge\'s younger sister, who brings joy and the promise of a happier home, reflecting on their childhood relationship.""Fan is Scrooge\'s younger sister, who brings joy and the promise of a happier home, reflecting on their childhood relationship.""Fan is Scrooge\'s younger sister, who brings joy and the promise of a happier home, reflecting on their childhood relationship.""Fan is Scrooge\'s younger sister, who brings joy and the promise of a happier home, reflecting on their childhood relationship."', 'source_id': 'chunk-c6c248858d1b13ab7ee9ca13c1aeed6bchunk-9e3921da66da5d761ab73cd849af6c43'}> -2024-10-30 06:53:10,711 - lightrag - INFO - get_node:query:MATCH (n:`THE OFFICE`) RETURN n:result:"The Office is Scrooge\'s workplace, signifying his past life and the memories associated with his business dealings.""The Office is Scrooge\'s workplace, signifying his past life and the memories associated with his business dealings.""The Office is Scrooge\'s workplace, signifying his past life and the memories associated with his business dealings.""The Office is Scrooge\'s workplace, signifying his past life and the memories associated with his business dealings.""The Office refers to Scrooge\'s workplace, emphasizing his isolation and the business-focused nature of his life.""The Office refers to the workplace where Scrooge and Bob Cratchit interact, highlighting the power dynamics and work-related tension.""The Office refers to Scrooge\'s workplace, emphasizing his isolation and the business-focused nature of his life.""The Office refers to the workplace where Scrooge and Bob Cratchit interact, highlighting the power dynamics and work-related tension.""The Office refers to Scrooge\'s workplace, emphasizing his isolation and the business-focused nature of his life.""The Office refers to the workplace where Scrooge and Bob Cratchit interact, highlighting the power dynamics and work-related tension.""The Office refers to Scrooge\'s workplace, emphasizing his isolation and the business-focused nature of his life.""The Office refers to the workplace where Scrooge and Bob Cratchit interact, highlighting the power dynamics and work-related tension.""The Office refers to Scrooge\'s workplace, emphasizing his isolation and the business-focused nature of his life.""The Office refers to the workplace where Scrooge and Bob Cratchit interact, highlighting the power dynamics and work-related tension."', 'source_id': 'chunk-da2472b4ef2a535b62908f14d0fb0ca9chunk-91572b3cd42786ba4cb2f180ca25cbf4chunk-94bea83e7153fc2064aa382b494936a1'}> -2024-10-30 06:53:10,796 - lightrag - INFO - get_node:query:MATCH (n:`HOLLY`) RETURN n:result:"Holly is a plant associated with Christmas, mentioned among other decorations that contribute to the festive atmosphere.""Holly is a symbol held by The Ghost, representing peace and goodwill, contrasting with the cold wintry atmosphere around Scrooge.""Holly is mentioned as part of the traditional decorations associated with Christmas, symbolizing festivity.""Holly represents a traditional decoration associated with Christmas, symbolizing festivity and the presence of the Christmas spirit.""Holly is a symbol held by The Ghost, representing peace and goodwill, contrasting with the cold wintry atmosphere around Scrooge.""Holly is mentioned as part of the traditional decorations associated with Christmas, symbolizing festivity.""Holly represents a traditional decoration associated with Christmas, symbolizing festivity and the presence of the Christmas spirit.""Holly is a symbol held by The Ghost, representing peace and goodwill, contrasting with the cold wintry atmosphere around Scrooge.""Holly is mentioned as part of the traditional decorations associated with Christmas, symbolizing festivity.""Holly represents a traditional decoration associated with Christmas, symbolizing festivity and the presence of the Christmas spirit.""Holly is a symbol held by The Ghost, representing peace and goodwill, contrasting with the cold wintry atmosphere around Scrooge.""Holly is mentioned as part of the traditional decorations associated with Christmas, symbolizing festivity.""Holly represents a traditional decoration associated with Christmas, symbolizing festivity and the presence of the Christmas spirit.""Holly is a symbol held by The Ghost, representing peace and goodwill, contrasting with the cold wintry atmosphere around Scrooge.""Holly is mentioned as part of the traditional decorations associated with Christmas, symbolizing festivity.""Holly represents a traditional decoration associated with Christmas, symbolizing festivity and the presence of the Christmas spirit."', 'source_id': 'chunk-c7b10789a9cb0af6c553730b29bd9034chunk-99b0ec7f7e006561352b5d65e849611dchunk-843b5b2f944c7413d9ca876e2e2f151f'}> -2024-10-30 06:53:10,882 - lightrag - INFO - get_node:query:MATCH (n:`DICK`) RETURN n:result:"Dick is associated with Scrooge\'s former self, evoking nostalgic memories as Scrooge witnesses the past.""Dick is associated with Scrooge\'s former self, evoking nostalgic memories as Scrooge witnesses the past.""Dick is associated with Scrooge\'s former self, evoking nostalgic memories as Scrooge witnesses the past.""Dick is associated with Scrooge\'s former self, evoking nostalgic memories as Scrooge witnesses the past.""Dick is associated with Scrooge\'s former self, evoking nostalgic memories as Scrooge witnesses the past."', 'source_id': 'chunk-b2f98bc7abb0c67d4c86055c7fd72218'}> -2024-10-30 06:53:10,971 - lightrag - INFO - get_node:query:MATCH (n:`THE GROCERS`) RETURN n:result: -2024-10-30 06:53:11,062 - lightrag - INFO - get_node:query:MATCH (n:`TIM`) RETURN n:result: -2024-10-30 06:53:11,152 - lightrag - INFO - get_node:query:MATCH (n:`GHOST OF CHRISTMAS PAST`) RETURN n:result:"The Ghost of Christmas Past is a supernatural entity that aids Scrooge in reflecting on his past experiences and emotions.""The Ghost of Christmas Past is one of the spirits in A Christmas Carol that shows Scrooge his past, prompting reflection and change.""The Ghost of Christmas Past represents a spirit that guides Scrooge to revisit and reflect on his past experiences and memories.""The Ghost of Christmas Past is one of the spirits in A Christmas Carol that shows Scrooge his past, prompting reflection and change.""The Ghost of Christmas Past represents a spirit that guides Scrooge to revisit and reflect on his past experiences and memories.""The Ghost of Christmas Past is one of the spirits in A Christmas Carol that shows Scrooge his past, prompting reflection and change.""The Ghost of Christmas Past represents a spirit that guides Scrooge to revisit and reflect on his past experiences and memories.""The Ghost of Christmas Past is one of the spirits in A Christmas Carol that shows Scrooge his past, prompting reflection and change.""The Ghost of Christmas Past represents a spirit that guides Scrooge to revisit and reflect on his past experiences and memories.""The Ghost of Christmas Past is one of the spirits in A Christmas Carol that shows Scrooge his past, prompting reflection and change.""The Ghost of Christmas Past represents a spirit that guides Scrooge to revisit and reflect on his past experiences and memories."', 'source_id': 'chunk-9e3921da66da5d761ab73cd849af6c43chunk-bb21d58d36c6306fd8810ddd51c4a971'}> -2024-10-30 06:53:11,241 - lightrag - INFO - get_node:query:MATCH (n:`TURKEYS`) RETURN n:result:"Turkeys represent a common food item associated with the Christmas feast, highlighting the culinary aspects of the celebration.""Turkeys are food items prominently featured in Christmas meals, representing a festive celebration of the holiday.""Turkeys are part of the Christmas feast, symbolizing the abundance and sharing associated with the holiday.""Turkeys are food items prominently featured in Christmas meals, representing a festive celebration of the holiday.""Turkeys are part of the Christmas feast, symbolizing the abundance and sharing associated with the holiday.""Turkeys are food items prominently featured in Christmas meals, representing a festive celebration of the holiday.""Turkeys are part of the Christmas feast, symbolizing the abundance and sharing associated with the holiday.""Turkeys are food items prominently featured in Christmas meals, representing a festive celebration of the holiday.""Turkeys are part of the Christmas feast, symbolizing the abundance and sharing associated with the holiday.""Turkeys are food items prominently featured in Christmas meals, representing a festive celebration of the holiday.""Turkeys are part of the Christmas feast, symbolizing the abundance and sharing associated with the holiday."', 'source_id': 'chunk-99b0ec7f7e006561352b5d65e849611dchunk-843b5b2f944c7413d9ca876e2e2f151f'}> -2024-10-30 06:53:11,333 - lightrag - INFO - get_node:query:MATCH (n:`CHILDREN`) RETURN n:result:"Children represent innocence and joy, often seen as seeking affection and connection with adults like Scrooge.""Children represent innocence and joy, often seen as seeking affection and connection with adults like Scrooge.""Children represent innocence and joy, often seen as seeking affection and connection with adults like Scrooge.""Children represent innocence and joy, often seen as seeking affection and connection with adults like Scrooge.""The Children represent innocence and purity, highlighted as victims of societal neglect and calling for compassion from Scrooge.""The Children represent the joyful, carefree aspects of Scrooge\'s past, embodying happiness and the innocence of youth that he has long forgotten.""The Children represent innocence and the impact of societal neglect, embodied by Ignorance and Want as personified by the Spirit.""The Children represent innocence and the impact of societal neglect, embodied by Ignorance and Want as personified by the Spirit.""The Children represent innocence and the impact of societal neglect, embodied by Ignorance and Want as personified by the Spirit.""The Children represent innocence and the impact of societal neglect, embodied by Ignorance and Want as personified by the Spirit.""The Children represent innocence and the impact of societal neglect, embodied by Ignorance and Want as personified by the Spirit."', 'source_id': 'chunk-bb21d58d36c6306fd8810ddd51c4a971chunk-74e2466de2f67fd710ef2f20c0a8d9e0chunk-e7637ff18c5ded77a68cce0a87883fad'}> -2024-10-30 06:53:11,423 - lightrag - INFO - get_node:query:MATCH (n:`DICK WILKINS`) RETURN n:result:"Dick Wilkins is Scrooge\'s fellow apprentice and close companion during his younger years, indicating camaraderie during their apprenticeship.""Dick Wilkins is Scrooge\'s fellow apprentice, associated with Scrooge\'s past and the context of his earlier, more carefree life.""Dick Wilkins is a former apprentice of Scrooge, remembered fondly for his attachment to Scrooge.""Dick Wilkins is Scrooge\'s fellow apprentice, associated with Scrooge\'s past and the context of his earlier, more carefree life.""Dick Wilkins is a former apprentice of Scrooge, remembered fondly for his attachment to Scrooge.""Dick Wilkins is Scrooge\'s fellow apprentice, associated with Scrooge\'s past and the context of his earlier, more carefree life.""Dick Wilkins is a former apprentice of Scrooge, remembered fondly for his attachment to Scrooge.""Dick Wilkins is Scrooge\'s fellow apprentice, associated with Scrooge\'s past and the context of his earlier, more carefree life.""Dick Wilkins is a former apprentice of Scrooge, remembered fondly for his attachment to Scrooge.""Dick Wilkins is Scrooge\'s fellow apprentice, associated with Scrooge\'s past and the context of his earlier, more carefree life.""Dick Wilkins is a former apprentice of Scrooge, remembered fondly for his attachment to Scrooge."', 'source_id': 'chunk-c6c248858d1b13ab7ee9ca13c1aeed6bchunk-8bc1edd983869352d14cf0886a9175a7'}> -2024-10-30 06:53:11,512 - lightrag - INFO - get_node:query:MATCH (n:`SPIRIT`) RETURN n:result:"The Spirit represents a ghostly figure guiding Scrooge through reflections related to a death, illustrating lessons about life and mortality.""The Spirit represents a supernatural being guiding Scrooge through lessons about the consequences of his actions and the future.""The Spirit represents a supernatural entity guiding Scrooge and teaching him lessons about compassion and humanity."The "Spirit" represents a multifaceted supernatural entity that plays a crucial role in guiding Ebenezer Scrooge through profound reflections on his life, death, and human emotions. Central to the narrative is the Spirit\'s embodiment of the essence of Marley, which interacts with Scrooge to highlight themes related to the afterlife and unresolved issues. The Spirit manifests as various figures, most notably the Ghost of Christmas Present, who personifies the themes of generosity, merriment, and the true spirit of the Christmas season.\n\nThroughout Scrooge\'s journey, the Spirit serves as a guide, leading him through memories of his past, reflecting his former self and the influence of time on his character. The entity illustrates important lessons about compassion, social responsibility, and the consequences of his actions, urging Scrooge to confront societal issues and fostering self-awareness.\n\nThe Spirit also emphasizes the somber aspects of life, illustrating lessons about mortality and the inevitability of death, prompting Scrooge to reflect on the implications of his life choices. Overall, the Spirit encapsulates the intersection of compassion, humanity, and the moral lessons inherent in the experience of life, serving as a catalyst for Scrooge\'s transformation and awakening.', 'source_id': 'chunk-e7637ff18c5ded77a68cce0a87883fadchunk-02baee20cc9463dbe08170a8e1043e32chunk-1aa50206d02ed89418f65f97c6441d1cchunk-83ac129dc9b56f84c46760d153d68e93chunk-843b5b2f944c7413d9ca876e2e2f151fchunk-bb21d58d36c6306fd8810ddd51c4a971'}> -2024-10-30 06:53:11,599 - lightrag - INFO - get_node:query:MATCH (n:`GHOST OF CHRISTMAS PRESENT`) RETURN n:result:"The Ghost of Christmas Present is a spirit that reveals to Scrooge the joys and struggles of the present Christmas season, emphasizing generosity and compassion.""The Ghost of Christmas Present is a spirit that represents generosity and joy, playing a pivotal role in teaching Scrooge valuable lessons about kindness and the Christmas spirit.""The Ghost of Christmas Present is a spirit that reveals the current struggles and joys of others, influencing Scrooge\'s perspective.""The Ghost of Christmas Present is a spirit that represents generosity and joy, playing a pivotal role in teaching Scrooge valuable lessons about kindness and the Christmas spirit.""The Ghost of Christmas Present is a spirit that reveals the current struggles and joys of others, influencing Scrooge\'s perspective.""The Ghost of Christmas Present is a spirit that represents generosity and joy, playing a pivotal role in teaching Scrooge valuable lessons about kindness and the Christmas spirit.""The Ghost of Christmas Present is a spirit that reveals the current struggles and joys of others, influencing Scrooge\'s perspective.""The Ghost of Christmas Present is a spirit that represents generosity and joy, playing a pivotal role in teaching Scrooge valuable lessons about kindness and the Christmas spirit.""The Ghost of Christmas Present is a spirit that reveals the current struggles and joys of others, influencing Scrooge\'s perspective.""The Ghost of Christmas Present is a spirit that represents generosity and joy, playing a pivotal role in teaching Scrooge valuable lessons about kindness and the Christmas spirit.""The Ghost of Christmas Present is a spirit that reveals the current struggles and joys of others, influencing Scrooge\'s perspective."', 'source_id': 'chunk-843b5b2f944c7413d9ca876e2e2f151fchunk-9e3921da66da5d761ab73cd849af6c43'}> -2024-10-30 06:53:22,091 - lightrag - INFO - get_edge:query: - MATCH (start:`GHOST`)-[r]->(end:`SCROOGE`) - RETURN properties(r) as edge_properties - LIMIT 1 - :result:{'keywords': '"moral lesson, reflection""reflection, self-discovery""spiritual guidance, transformation"', 'weight': 26.0, 'description': '"Scrooge interacts directly with the Ghost, who aims to teach him about the errors of his ways and the importance of caring for others.""The Ghost guides Scrooge through reflections of his past, influencing his journey toward redemption.""The Ghost takes Scrooge on a journey to teach him lessons about generosity and compassion towards others."', 'source_id': 'chunk-359187e7571bda4b0b08b2e0b6581e52chunk-c6c248858d1b13ab7ee9ca13c1aeed6bchunk-e7637ff18c5ded77a68cce0a87883fad'} -2024-10-30 06:53:22,185 - lightrag - INFO - get_edge:query: - MATCH (start:`SCROOGE`)-[r]->(end:`THE TURKEY`) - RETURN properties(r) as edge_properties - LIMIT 1 - :result:{'keywords': '"generosity, celebration"', 'weight': 7.0, 'description': '"Scrooge expresses joy and excitement about the turkey he plans to send, highlighting his generous transformation."', 'source_id': 'chunk-8f738cb25d60a7dab782162d9d0a25ed'} -2024-10-30 06:53:22,278 - lightrag - INFO - get_edge:query: - MATCH (start:`SCROOGE`)-[r]->(end:`THE PRESENT`) - RETURN properties(r) as edge_properties - LIMIT 1 - :result:{'keywords': '"change, awareness"', 'weight': 9.0, 'description': '"Scrooge emphasizes the importance of living fully in The Present to change his fate going forward."', 'source_id': 'chunk-91572b3cd42786ba4cb2f180ca25cbf4'} -2024-10-30 06:53:22,368 - lightrag - INFO - get_edge:query: - MATCH (start:`LITTLE FAN`)-[r]->(end:`SCROOGE`) - RETURN properties(r) as edge_properties - LIMIT 1 - :result:{'keywords': '"family, nostalgia"', 'weight': 9.0, 'description': '"Little Fan\'s joyful visit emphasizes family love and the nostalgic warmth of childhood memories for Scrooge."', 'source_id': 'chunk-c6c248858d1b13ab7ee9ca13c1aeed6b'} -2024-10-30 06:53:22,462 - lightrag - INFO - get_edge:query: - MATCH (start:`ALMSHOUSE`)-[r]->(end:`SPIRIT`) - RETURN properties(r) as edge_properties - LIMIT 1 - :result:{'keywords': '"social critique, awareness"', 'weight': 9.0, 'description': '"The Spirit shows Scrooge the Almshouse to illustrate the plight of the poor and the societal neglect present during the holiday season."', 'source_id': 'chunk-e7637ff18c5ded77a68cce0a87883fad'} -2024-10-30 06:53:22,557 - lightrag - INFO - get_edge:query: - MATCH (start:`HOPE`)-[r]->(end:`THE COMELY MATRON`) - RETURN properties(r) as edge_properties - LIMIT 1 - :result:{'keywords': '"hope, family love"', 'weight': 16.0, 'description': '"The Comely Matron represents the hope for a joyful and fulfilling family life, enhancing the themes of love and connection."', 'source_id': 'chunk-54bdd22db1f84a965b5f4c06c9216d8d'} -2024-10-30 06:53:22,653 - lightrag - INFO - get_edge:query: - MATCH (start:`CHRISTMAS`)-[r]->(end:`THE GROCERS`) - RETURN properties(r) as edge_properties - LIMIT 1 - :result:{'keywords': '"community engagement, festive spirit"', 'weight': 9.0, 'description': '"The Grocers contribute to the festive Christmas atmosphere by providing goods and serving eager customers."', 'source_id': 'chunk-99b0ec7f7e006561352b5d65e849611d'} -2024-10-30 06:53:22,746 - lightrag - INFO - get_edge:query: - MATCH (start:`SCROOGE`)-[r]->(end:`THE SPIRITS`) - RETURN properties(r) as edge_properties - LIMIT 1 - :result:{'keywords': '"redemption, guidance"', 'weight': 9.0, 'description': '"The Spirits embody the lessons Scrooge must learn to change his life and embrace kindness."', 'source_id': 'chunk-90b95db5c53e4364a6bee36b7aa4d70f'} -2024-10-30 06:53:22,839 - lightrag - INFO - get_edge:query: - MATCH (start:`BOB CRATCHIT`)-[r]->(end:`TINY TIM`) - RETURN properties(r) as edge_properties - LIMIT 1 - :result:{'keywords': '"family bond, care""family bond, father-son relationship""family bond, love""family love, vulnerability""family, care""family, caregiving""family, love struggles""family, struggle""family, support""father-son bond, care""father-son relationship, care""parental love, sorrow""parenting, hope"', 'weight': 119.0, 'description': '"Bob Cratchit deeply cares for Tiny Tim, demonstrating emotional support and love, especially in moments of distress.""Bob Cratchit expresses love and concern for his son Tiny Tim during the Christmas dinner, highlighting a strong familial bond.""Bob Cratchit is Tiny Tim\'s father, and the turkey Scrooge plans to send will impact Tiny Tim\'s well-being.""Bob Cratchit is Tiny Tim\'s father, and their relationship highlights the theme of family struggle and love, especially during Christmas.""Bob Cratchit shows deep care for Tiny Tim, helping him and expressing pride in his strength and character despite challenges.""Bob Cratchit\'s concern for Tiny Tim illustrates the deep familial love and the challenges facing the Cratchit family.""Bob Cratchit is a father figure to Tiny Tim, who carries both hope and concern for his child\'s future health and well-being.""Bob Cratchit is the father of Tiny Tim, showcasing familial love and challenges faced by the Cratchit family.""Bob Cratchit is the father of Tiny Tim, showing the importance of family dynamics and care in their lives.""Bob Cratchit shows affection for Tiny Tim, often expressing concern for his health and trying to keep him close during the Christmas celebration.""Bob Cratchit shows deep care for Tiny Tim, supporting him and expressing pride in his resilience, especially regarding Tiny Tim\'s reflective thoughts on Christmas.""Bob Cratchit shows deep concern and love for his son, Tiny Tim, highlighting the family dynamics and attachment in their household.""Bob Cratchit shows deep love and sorrow for Tiny Tim, reflecting a father\'s bond with his child.""Bob is the father of Tiny Tim, who requires support and care, emphasizing themes of family and responsibility."', 'source_id': 'chunk-90b95db5c53e4364a6bee36b7aa4d70fchunk-503f0bfa5453467c7c61d160a3540ecachunk-91572b3cd42786ba4cb2f180ca25cbf4chunk-9e3921da66da5d761ab73cd849af6c43chunk-94bea83e7153fc2064aa382b494936a1chunk-83ac129dc9b56f84c46760d153d68e93chunk-7e2e7ebcc19a53b399dc03aded4743e7chunk-1d4b58de5429cd1261370c231c8673e8'} -2024-10-30 06:53:22,936 - lightrag - INFO - get_edge:query: - MATCH (start:`GHOST OF CHRISTMAS PAST`)-[r]->(end:`SCROOGE`) - RETURN properties(r) as edge_properties - LIMIT 1 - :result:{'keywords': '"reflection, guidance""reflection, past influence""reflection, transformation"', 'weight': 25.0, 'description': '"Scrooge engages with the Ghost of Christmas Past to explore and reflect on his life and choices.""Scrooge engages with the Ghost of Christmas Past to explore his earlier life, seeking insight into his current state.""The Ghost of Christmas Past shows Scrooge experiences from his life that prompt his transformation."', 'source_id': 'chunk-9e3921da66da5d761ab73cd849af6c43chunk-bb21d58d36c6306fd8810ddd51c4a971'} -2024-10-30 06:53:23,030 - lightrag - INFO - get_edge:query: - MATCH (start:`CHRISTMAS`)-[r]->(end:`THE MANSION HOUSE`) - RETURN properties(r) as edge_properties - LIMIT 1 - :result:{'keywords': '"festivities, governance"', 'weight': 7.0, 'description': '"The Mansion House is referenced in the context of Christmas celebrations, illustrating its role in festive festivities and governance."', 'source_id': 'chunk-90d5764e301321c087f5a8f78b73a145'} -2024-10-30 06:53:23,122 - lightrag - INFO - get_edge:query: - MATCH (start:`GRAVE`)-[r]->(end:`SCROOGE`) - RETURN properties(r) as edge_properties - LIMIT 1 - :result:{'keywords': '"mortality, reflection"', 'weight': 20.0, 'description': '"Scrooge is confronted with his own grave, symbolizing the ultimate outcome of his current lifestyle and actions."', 'source_id': 'chunk-91572b3cd42786ba4cb2f180ca25cbf4'} -2024-10-30 06:53:23,212 - lightrag - INFO - get_edge:query: - MATCH (start:`MARLEY`)-[r]->(end:`SCROOGE AND MARLEY'S`) - RETURN properties(r) as edge_properties - LIMIT 1 - :result:{'keywords': '"partnership, legacy"', 'weight': 12.0, 'description': '"Scrooge and Marley\'s is the business associated with Marley, emphasizing its history and the weight of Marley\'s legacy in shaping Scrooge\'s character."', 'source_id': 'chunk-5dac41b3f9eeaf794f0147400b1718cd'} -2024-10-30 06:53:23,312 - lightrag - INFO - get_edge:query: - MATCH (start:`SCROOGE`)-[r]->(end:`THE GRATE`) - RETURN properties(r) as edge_properties - LIMIT 1 - :result:{'keywords': '"coldness, minimalism""isolation, setting mood"', 'weight': 12.0, 'description': '"Scrooge\'s small fire in The Grate represents his need for warmth and symbolizes his cold heart initially showing longing for comfort.""The Grate\'s cold fire adds to the bleak setting of Scrooge\'s home, illustrating his disconnection from warmth and comfort before the supernatural events unfold."', 'source_id': 'chunk-9c43dac2fcd5b578242d907ea6f8fc7b'} -2024-10-30 06:53:23,409 - lightrag - INFO - get_edge:query: - MATCH (start:`SCROOGE`)-[r]->(end:`THE DYING FLAME`) - RETURN properties(r) as edge_properties - LIMIT 1 - :result:{'keywords': '"fear, conflict"', 'weight': 16.0, 'description': '"The Dying Flame\'s flickering is reflective of Scrooge\'s fear and mental state in the presence of the ghost, amplifying his internal conflict."', 'source_id': 'chunk-9c43dac2fcd5b578242d907ea6f8fc7b'} -2024-10-30 06:53:23,500 - lightrag - INFO - get_edge:query: - MATCH (start:`CAROLINE`)-[r]->(end:`THE HUSBAND`) - RETURN properties(r) as edge_properties - LIMIT 1 - :result:{'keywords': '"communication, emotional burden"', 'weight': 14.0, 'description': '"The Husband and Caroline\'s conversation illustrates the tension between optimism and the reality of their situation after receiving distressing news."', 'source_id': 'chunk-83ac129dc9b56f84c46760d153d68e93'} -2024-10-30 06:53:23,594 - lightrag - INFO - get_edge:query: - MATCH (start:`CHRISTMAS EVES`)-[r]->(end:`SCROOGE`) - RETURN properties(r) as edge_properties - LIMIT 1 - :result:{'keywords': '"time of reflection, redemption"', 'weight': 14.0, 'description': '"Christmas Eves symbolize a critical time for self-reflection and understanding one\'s past decisions, linking to Scrooge\'s journey of redemption."', 'source_id': 'chunk-359187e7571bda4b0b08b2e0b6581e52'} -2024-10-30 06:53:23,686 - lightrag - INFO - get_edge:query: - MATCH (start:`BOB CRATCHIT`)-[r]->(end:`THE CRATCHIT HOUSEHOLD`) - RETURN properties(r) as edge_properties - LIMIT 1 - :result:{'keywords': '"family, support"', 'weight': 16.0, 'description': '"Bob Cratchit leads his family, representing resilience and love in the face of hardship, which is celebrated by the Spirit."', 'source_id': 'chunk-b0f459f5af1c3a5e0b92cbe4ee48b77b'} -2024-10-30 06:53:23,778 - lightrag - INFO - get_edge:query: - MATCH (start:`BOB CRATCHIT`)-[r]->(end:`SPIRIT OF CHRISTMAS PRESENT`) - RETURN properties(r) as edge_properties - LIMIT 1 - :result:{'keywords': '"blessing, compassion"', 'weight': 18.0, 'description': '"The Spirit blesses Bob Cratchit’s dwelling, symbolizing the recognition of the Cratchit family\'s struggles and joys on Christmas Day."', 'source_id': 'chunk-b0f459f5af1c3a5e0b92cbe4ee48b77b'} -2024-10-30 06:53:23,876 - lightrag - INFO - get_edge:query: - MATCH (start:`THE CANDLE`)-[r]->(end:`THE FOG AND FROST`) - RETURN properties(r) as edge_properties - LIMIT 1 - :result:{'keywords': '"hope, contrast"', 'weight': 12.0, 'description': '"The Candle symbolizes a flicker of warmth and hope in the bleak setting of Fog and Frost, contrasting the overall atmosphere."', 'source_id': 'chunk-d9aac3484185ac66045df92214d245d5'} -2024-10-30 06:53:23,973 - lightrag - INFO - get_edge:query: - MATCH (start:`CHRISTMAS`)-[r]->(end:`THE GHOST`) - RETURN properties(r) as edge_properties - LIMIT 1 - :result:{'keywords': '"spiritual guide, thematic connection"', 'weight': 8.0, 'description': '"The Ghosts represent the essence of Christmas, highlighting the themes of generosity and change during this festive time."', 'source_id': 'chunk-02baee20cc9463dbe08170a8e1043e32'} -2024-10-30 06:53:24,067 - lightrag - INFO - get_edge:query: - MATCH (start:`BOB`)-[r]->(end:`SCROOGE`) - RETURN properties(r) as edge_properties - LIMIT 1 - :result:{'keywords': '"humor, generosity"', 'weight': 6.0, 'description': '"Scrooge makes a humorous comment about sending a large turkey to Bob, indicating a lighthearted relationship."', 'source_id': 'chunk-8f738cb25d60a7dab782162d9d0a25ed'} -2024-10-30 06:53:24,159 - lightrag - INFO - get_edge:query: - MATCH (start:`FEZZIWIG`)-[r]->(end:`SCROOGE`) - RETURN properties(r) as edge_properties - LIMIT 1 - :result:{'keywords': '"contrast, character foil""kindness, mentorship""mentor figure, positive influence""nostalgia, contrast""reflection, influence"', 'weight': 43.0, 'description': '"Fezziwig is a significant figure in Scrooge\'s past, illustrating a contrast between Scrooge\'s current miserly demeanor and Fezziwig\'s jovial nature.""Fezziwig represents the joyful side of business and celebration, contrasting with Scrooge\'s miserly nature and serving as a foil to Scrooge\'s character development.""Scrooge reflects positively on Fezziwig\'s past actions, acknowledging the happiness and gratitude he inspired in people.""Scrooge reminisces about Fezziwig\'s kindness during his apprenticeship, comparing his past self to his current state.""Scrooge reminisces about Fezziwig\'s ball, reflecting on the contrast between his past happiness and present isolation."', 'source_id': 'chunk-b2f98bc7abb0c67d4c86055c7fd72218chunk-c6c248858d1b13ab7ee9ca13c1aeed6bchunk-89777b838d5447c7bd1ec11282c4ee89'} -2024-10-30 06:53:24,253 - lightrag - INFO - get_edge:query: - MATCH (start:`GHOST OF CHRISTMAS PRESENT`)-[r]->(end:`SCROOGE`) - RETURN properties(r) as edge_properties - LIMIT 1 - :result:{'keywords': '"awareness, compassion""transformation, guidance""transformation, mentoring"', 'weight': 27.0, 'description': '"Scrooge interacts directly with the Ghost of Christmas Present, who guides him in understanding the importance of generosity and joy during Christmas.""Scrooge is led by the Ghost of Christmas Present, who teaches him valuable lessons about generosity and compassion.""The Ghost of Christmas Present reveals the realities of others\' lives, influencing Scrooge\'s understanding of generosity and compassion."', 'source_id': 'chunk-843b5b2f944c7413d9ca876e2e2f151fchunk-9e3921da66da5d761ab73cd849af6c43'} -2024-10-30 06:53:24,348 - lightrag - INFO - get_edge:query: - MATCH (start:`SCROOGE`)-[r]->(end:`SPIRIT`) - RETURN properties(r) as edge_properties - LIMIT 1 - :result:{'keywords': '"guidance, emotional journey""guidance, personal growth""guidance, reflection""guidance, transformation""personal growth, spiritual journey""reflection, guidance""transformation, mentorship"', 'weight': 74.0, 'description': '"Scrooge engages with the Spirit, who guides him through reflections on his life and warns him of societal issues.""Scrooge learns from the Spirit about the consequences of his actions and the sentiments evoked by death, leading to personal growth.""Scrooge’s interaction with the Spirit emphasizes the emotional weight of his past decisions and feelings as they relate to his transformation.""The Spirit directly influences Scrooge’s transformation and highlights the importance of compassion in human life.""Scrooge interacts with the Spirit, who has come to teach him about the meaning of Christmas and share lessons of generosity.""Scrooge is guided by the Spirit to reflect on the impact of death, learning important lessons about life and legacy.""Scrooge is guided by the Spirit, who prompts him to reflect on his life and its consequences.""Scrooge\'s interactions with the Spirit serve to illuminate his past and its influence on his current self.""The Spirit serves as a guide for Scrooge, showing him visions that lead to his personal transformation and moral awakening."', 'source_id': 'chunk-e7637ff18c5ded77a68cce0a87883fadchunk-02baee20cc9463dbe08170a8e1043e32chunk-83ac129dc9b56f84c46760d153d68e93chunk-843b5b2f944c7413d9ca876e2e2f151fchunk-bb21d58d36c6306fd8810ddd51c4a971'} -2024-10-30 06:53:24,442 - lightrag - INFO - get_edge:query: - MATCH (start:`SCROOGE`)-[r]->(end:`THE BOY`) - RETURN properties(r) as edge_properties - LIMIT 1 - :result:{'keywords': '"generosity, kindness""innocence, dialogue"', 'weight': 15.0, 'description': '"Scrooge interacts with The Boy to deliver the turkey, showing a newfound generosity and connection to others.""The Boy engages in a conversation with Scrooge, representing innocence and serving as a link to Scrooge\'s act of kindness."', 'source_id': 'chunk-8f738cb25d60a7dab782162d9d0a25edchunk-90b95db5c53e4364a6bee36b7aa4d70f'} -2024-10-30 06:53:24,534 - lightrag - INFO - get_edge:query: - MATCH (start:`SCROOGE`)-[r]->(end:`THE GHOST`) - RETURN properties(r) as edge_properties - LIMIT 1 - :result:{'keywords': '"guidance, emotional exploration""guidance, transformation""memory, influence""rebuke, self-discovery""reflection, guidance""self-reflection, transformation""supernatural encounter, confusion""supernatural guidance, transformation""supernatural interaction, past actions"', 'weight': 78.0, 'description': '"Scrooge interacts with The Ghost of Jacob Marley, which highlights his struggle with the supernatural and his past actions.""Scrooge\'s engagement with The Ghost prompts a significant emotional and psychological transformation as he confronts his past.""The Ghost guides Scrooge through visions of his past, forcing him to confront his choices and their consequences.""The Ghost influences Scrooge\'s reflections on his past and his current emotions regarding Christmas festivities.""The Ghost serves as a catalyst for Scrooge\'s reflections, guiding him to confront his past and feelings about Christmas.""Scrooge\'s interaction with The Ghost leads to significant inner turmoil and contemplation about dreams and reality.""The Ghost influences Scrooge\'s journey by revealing his past, driving the narrative of his redemption.""The Ghost interacts with Scrooge, revealing truths that challenge his perspective on life and death.""The Ghost prompts Scrooge to remember significant moments, driving his emotional exploration of the past."', 'source_id': 'chunk-c7b10789a9cb0af6c553730b29bd9034chunk-43c9bee23adfa77aa9dedd22401bba7dchunk-da2472b4ef2a535b62908f14d0fb0ca9chunk-cb661c37436355ccec2769b1d0350c5fchunk-54bdd22db1f84a965b5f4c06c9216d8dchunk-8590d9263cd2cd4fa583c432fc54e6c3chunk-83ac129dc9b56f84c46760d153d68e93'} -2024-10-30 06:53:24,627 - lightrag - INFO - get_edge:query: - MATCH (start:`THE CRATCHIT FAMILY`)-[r]->(end:`TINY TIM`) - RETURN properties(r) as edge_properties - LIMIT 1 - :result:{'keywords': '"family unity, hope"', 'weight': 18.0, 'description': '"Tiny Tim is an integral part of the Cratchit family, embodying their hopes and joys during the Christmas festivities."', 'source_id': 'chunk-19d72c57ae3408758b18d2568e86dc6b'} -2024-10-30 06:53:24,720 - lightrag - INFO - get_edge:query: - MATCH (start:`SCROOGE`)-[r]->(end:`THE GHOST OF CHRISTMAS PAST`) - RETURN properties(r) as edge_properties - LIMIT 1 - :result:{'keywords': '"introspection, memory""reflection, guidance""self-reflection, guidance"', 'weight': 28.0, 'description': '"Scrooge\'s interaction with the Ghost of Christmas Past highlights his journey of self-reflection and struggle with his past decisions.""The Ghost of Christmas Past guides Scrooge through recollections, prompting his introspection about his former self and choices.""The Ghost of Christmas Past helps Scrooge reflect on his past choices, which is crucial for his transformation."', 'source_id': 'chunk-b2f98bc7abb0c67d4c86055c7fd72218chunk-90b95db5c53e4364a6bee36b7aa4d70f'} -2024-10-30 06:53:24,813 - lightrag - INFO - get_edge:query: - MATCH (start:`HAPPINESS`)-[r]->(end:`THE BEAUTIFUL YOUNG GIRL`) - RETURN properties(r) as edge_properties - LIMIT 1 - :result:{'keywords': '"lost happiness, longing"', 'weight': 14.0, 'description': '"The Beautiful Young Girl embodies the happiness that Scrooge once sought and now feels he has lost."', 'source_id': 'chunk-54bdd22db1f84a965b5f4c06c9216d8d'} -2024-10-30 06:53:24,973 - lightrag - INFO - get_edge:query: - MATCH (start:`EBENEZER SCROOGE`)-[r]->(end:`TINY TIM`) - RETURN properties(r) as edge_properties - LIMIT 1 - :result:{'keywords': '"redemption, compassion"', 'weight': 9.0, 'description': '"Ebenezer Scrooge, through his interactions with Tiny Tim, learns about compassion and the importance of family and community."', 'source_id': 'chunk-9e3921da66da5d761ab73cd849af6c43'} -2024-10-30 06:53:25,067 - lightrag - INFO - get_edge:query: - MATCH (start:`SCROOGE`)-[r]->(end:`THE GENTLEMEN`) - RETURN properties(r) as edge_properties - LIMIT 1 - :result:{'keywords': '"charity, social responsibility"', 'weight': 16.0, 'description': '"The Gentlemen approach Scrooge about donations for the poor, representing a charitable campaign that he strongly resists."', 'source_id': 'chunk-5dac41b3f9eeaf794f0147400b1718cd'} -2024-10-30 06:53:25,159 - lightrag - INFO - get_edge:query: - MATCH (start:`SCROOGE`)-[r]->(end:`THE PHANTOM VOICES`) - RETURN properties(r) as edge_properties - LIMIT 1 - :result:{'keywords': '"regret, lost opportunities"', 'weight': 12.0, 'description': '"Scrooge hears the lamentations of The Phantom Voices, reflecting his connection to the spirits of the lost and the consequences of his life choices."', 'source_id': 'chunk-cb661c37436355ccec2769b1d0350c5f'} -2024-10-30 06:53:25,253 - lightrag - INFO - get_edge:query: - MATCH (start:`DICK WILKINS`)-[r]->(end:`SCROOGE`) - RETURN properties(r) as edge_properties - LIMIT 1 - :result:{'keywords': '"friendship, apprenticeship""shared history, transformation"', 'weight': 14.0, 'description': '"Scrooge and Dick Wilkins share memories of their apprenticeship, highlighting Scrooge\'s transformation from a young man to his current state.""Scrooge recalls his friendship with Dick Wilkins, highlighting the connections of youth and support during their apprenticeship."', 'source_id': 'chunk-c6c248858d1b13ab7ee9ca13c1aeed6b'} -2024-10-30 06:53:25,348 - lightrag - INFO - get_edge:query: - MATCH (start:`DINNER`)-[r]->(end:`SCROOGE'S NEPHEW`) - RETURN properties(r) as edge_properties - LIMIT 1 - :result:{'keywords': '"family, celebration"', 'weight': 18.0, 'description': '"Scrooge\'s Nephew emphasizes the pleasure of sharing Dinner with loved ones, highlighting the importance of family connections during holiday gatherings."', 'source_id': 'chunk-773d0df1dd25c356f7b771d780583e09'} -2024-10-30 06:53:25,450 - lightrag - INFO - get_edge:query: - MATCH (start:`BOB CRATCHIT`)-[r]->(end:`MASTER PETER`) - RETURN properties(r) as edge_properties - LIMIT 1 - :result:{'keywords': '"aspiration, family support"', 'weight': 6.0, 'description': '"Bob Cratchit is considering job opportunities for Master Peter, reflecting the family\'s aspirations and hopes for betterment."', 'source_id': 'chunk-19d72c57ae3408758b18d2568e86dc6b'} -2024-10-30 06:53:25,543 - lightrag - INFO - get_edge:query: - MATCH (start:`SCROOGE`)-[r]->(end:`THE FUNERAL`) - RETURN properties(r) as edge_properties - LIMIT 1 - :result:{'keywords': '"business, emotional detachment"', 'weight': 7.0, 'description': '"Scrooge treats The Funeral as a business transaction, showing his cold approach to personal loss and death."', 'source_id': 'chunk-89777b838d5447c7bd1ec11282c4ee89'} -2024-10-30 06:53:25,636 - lightrag - INFO - get_edge:query: - MATCH (start:`SCROOGE`)-[r]->(end:`STREET`) - RETURN properties(r) as edge_properties - LIMIT 1 - :result:{'keywords': '"observation, societal critique"', 'weight': 7.0, 'description': '"Scrooge observes the Street\'s inhabitants and their interactions, reflecting on his own status and societal detachment."', 'source_id': 'chunk-f1a4fbcf1ed86864b9bfd5e8dba4c683'} -2024-10-30 06:53:25,730 - lightrag - INFO - get_edge:query: - MATCH (start:`SCROOGE`)-[r]->(end:`THE GRAVE`) - RETURN properties(r) as edge_properties - LIMIT 1 - :result:{'keywords': '"mortality, urgency"', 'weight': 8.0, 'description': '"Scrooge’s need to confront his own grave signifies the urgency to change his life before it is too late."', 'source_id': 'chunk-91572b3cd42786ba4cb2f180ca25cbf4'} -2024-10-30 06:53:25,824 - lightrag - INFO - get_edge:query: - MATCH (start:`JOE`)-[r]->(end:`THE DECEASED`) - RETURN properties(r) as edge_properties - LIMIT 1 - :result:{'keywords': '"materialism, death"', 'weight': 5.0, 'description': '"Joe discusses the belongings and implications of The Deceased\'s life, indicating a financial and material relationship with the dead."', 'source_id': 'chunk-e1f29eeadc1d8ab46dc8a0bbd3c56b64'} -2024-10-30 06:53:25,919 - lightrag - INFO - get_edge:query: - MATCH (start:`CHRISTMAS`)-[r]->(end:`TINY TIM`) - RETURN properties(r) as edge_properties - LIMIT 1 - :result:{'keywords': '"innocence, holiday spirit"', 'weight': 18.0, 'description': '"Tiny Tim represents the spirit of Christmas, being cherished by family during this festive occasion."', 'source_id': 'chunk-1d4b58de5429cd1261370c231c8673e8'} -2024-10-30 06:53:26,022 - lightrag - INFO - get_edge:query: - MATCH (start:`IGNORANCE`)-[r]->(end:`SCROOGE`) - RETURN properties(r) as edge_properties - LIMIT 1 - :result:{'keywords': '"social awareness, warning"', 'weight': 9.0, 'description': '"Scrooge is warned about the dangers posed by Ignorance, which embodies significant societal issues he has ignored."', 'source_id': 'chunk-02baee20cc9463dbe08170a8e1043e32'} -2024-10-30 06:53:26,116 - lightrag - INFO - get_edge:query: - MATCH (start:`MANKIND`)-[r]->(end:`SCROOGE`) - RETURN properties(r) as edge_properties - LIMIT 1 - :result:{'keywords': '"moral responsibility, social awareness"', 'weight': 7.0, 'description': '"Scrooge\'s actions and neglect of mankind are highlighted in Marley\'s admonitions, emphasizing the need for connection and care for others."', 'source_id': 'chunk-359187e7571bda4b0b08b2e0b6581e52'} -2024-10-30 06:53:26,209 - lightrag - INFO - get_edge:query: - MATCH (start:`GAOL`)-[r]->(end:`SPIRIT`) - RETURN properties(r) as edge_properties - LIMIT 1 - :result:{'keywords': '"empowerment, societal change"', 'weight': 8.0, 'description': '"The Gaol represents the consequences of societal indifference, highlighted by the Spirit to show the need for empathy and reform."', 'source_id': 'chunk-e7637ff18c5ded77a68cce0a87883fad'} -2024-10-30 06:53:26,303 - lightrag - INFO - get_edge:query: - MATCH (start:`THE FIRE`)-[r]->(end:`TINY TIM`) - RETURN properties(r) as edge_properties - LIMIT 1 - :result:{'keywords': '"warmth, family support"', 'weight': 16.0, 'description': '"Tiny Tim is seen being supported by the family at the warmth of the Fire, which adds comfort and cheer to their gathering."', 'source_id': 'chunk-7e2e7ebcc19a53b399dc03aded4743e7'} -2024-10-30 06:53:26,398 - lightrag - INFO - get_edge:query: - MATCH (start:`ORSON`)-[r]->(end:`SCROOGE`) - RETURN properties(r) as edge_properties - LIMIT 1 - :result:{'keywords': '"family memories, nostalgia"', 'weight': 6.0, 'description': '"Same as above, Orson is part of Scrooge\'s memories of his brothers during Christmas time, emphasizing themes of togetherness and nostalgia."', 'source_id': 'chunk-8590d9263cd2cd4fa583c432fc54e6c3'} -2024-10-30 06:53:26,496 - lightrag - INFO - get_edge:query: - MATCH (start:`BELLE`)-[r]->(end:`SCROOGE`) - RETURN properties(r) as edge_properties - LIMIT 1 - :result:{'keywords': '"lost love, regret""nostalgia, lost love"', 'weight': 16.0, 'description': '"Scrooge reflects on his lost relationship with Belle, highlighting his feelings of regret and emotional pain.""Scrooge reminisces about Belle and the love they shared, indicating a lost connection and regret."', 'source_id': 'chunk-da2472b4ef2a535b62908f14d0fb0ca9'} -2024-10-30 06:53:26,592 - lightrag - INFO - get_edge:query: - MATCH (start:`COURT`)-[r]->(end:`SCROOGE`) - RETURN properties(r) as edge_properties - LIMIT 1 - :result:{'keywords': '"social contrast, isolation"', 'weight': 14.0, 'description': '"The court serves as a contrasting backdrop to Scrooge’s private space, where social warmth and interaction occur, which he actively avoids."', 'source_id': 'chunk-74e2466de2f67fd710ef2f20c0a8d9e0'} -2024-10-30 06:53:26,685 - lightrag - INFO - get_edge:query: - MATCH (start:`SCROOGE`)-[r]->(end:`THE CORPSE`) - RETURN properties(r) as edge_properties - LIMIT 1 - :result:{'keywords': '"introspection, life choices"', 'weight': 18.0, 'description': '"Scrooge’s horror upon seeing The Corpse prompts deep reflection on his own life choices and morality."', 'source_id': 'chunk-e1f29eeadc1d8ab46dc8a0bbd3c56b64'} -2024-10-30 06:53:26,779 - lightrag - INFO - get_edge:query: - MATCH (start:`CHRISTMAS`)-[r]->(end:`SPANISH ONIONS`) - RETURN properties(r) as edge_properties - LIMIT 1 - :result:{'keywords': '"culinary tradition, seasonal offerings"', 'weight': 7.0, 'description': '"Spanish Onions are part of the seasonal offerings that contribute to the culinary landscape of Christmas."', 'source_id': 'chunk-99b0ec7f7e006561352b5d65e849611d'} -2024-10-30 06:53:26,886 - lightrag - INFO - get_edge:query: - MATCH (start:`CHURCH`)-[r]->(end:`SCROOGE`) - RETURN properties(r) as edge_properties - LIMIT 1 - :result:{'keywords': '"community, contrast"', 'weight': 16.0, 'description': '"The church symbolizes the community and settings of Scrooge\'s past, highlighting the contrast between then and now."', 'source_id': 'chunk-bb21d58d36c6306fd8810ddd51c4a971'} -2024-10-30 06:53:26,979 - lightrag - INFO - get_edge:query: - MATCH (start:`CRATCHIT FAMILY`)-[r]->(end:`MASTER PETER CRATCHIT`) - RETURN properties(r) as edge_properties - LIMIT 1 - :result:{'keywords': '"family participation, joy"', 'weight': 8.0, 'description': '"Master Peter Cratchit is a part of the Cratchit family and contributes to their joyful Christmas celebration with enthusiasm."', 'source_id': 'chunk-7e2e7ebcc19a53b399dc03aded4743e7'} -2024-10-30 06:53:27,072 - lightrag - INFO - get_edge:query: - MATCH (start:`SCROOGE`)-[r]->(end:`THE GHOST OF MARLEY`) - RETURN properties(r) as edge_properties - LIMIT 1 - :result:{'keywords': '"redemption, moral reflection""supernatural, moral reckoning"', 'weight': 19.0, 'description': '"The Ghost of Marley serves as a direct reminder of Scrooge\'s past decisions, urging him towards change and redemption.""The Ghost of Marley symbolizes Scrooge\'s past mistakes and serves as a catalyst for his transformation."', 'source_id': 'chunk-d9aac3484185ac66045df92214d245d5'} -2024-10-30 06:53:27,164 - lightrag - INFO - get_edge:query: - MATCH (start:`CRATCHIT CHRISTMAS DINNER`)-[r]->(end:`CRATCHIT FAMILY`) - RETURN properties(r) as edge_properties - LIMIT 1 - :result:{'keywords': '"family celebration, togetherness"', 'weight': 20.0, 'description': '"The Cratchit Family comes together to celebrate Christmas dinner, encapsulating their unity and joyful spirit during the holiday season."', 'source_id': 'chunk-7e2e7ebcc19a53b399dc03aded4743e7'} -2024-10-30 06:53:27,257 - lightrag - INFO - get_edge:query: - MATCH (start:`THE CHILDREN`)-[r]->(end:`THE MOTHER`) - RETURN properties(r) as edge_properties - LIMIT 1 - :result:{'keywords': '"family care, joy"', 'weight': 14.0, 'description': '"The Mother facilitates the family celebrations, ensuring that her children experience joy during Christmas."', 'source_id': 'chunk-da2472b4ef2a535b62908f14d0fb0ca9'} -2024-10-30 06:53:27,352 - lightrag - INFO - get_edge:query: - MATCH (start:`CRATCHIT FAMILY`)-[r]->(end:`THE SPIRIT`) - RETURN properties(r) as edge_properties - LIMIT 1 - :result:{'keywords': '"holiday spirit, influence"', 'weight': 18.0, 'description': '"The Spirit influences the Christmas gathering of the Cratchit family by promoting joy and generosity, impacting their celebration."', 'source_id': 'chunk-19d72c57ae3408758b18d2568e86dc6b'} -2024-10-30 06:53:27,447 - lightrag - INFO - get_edge:query: - MATCH (start:`SCHOOL`)-[r]->(end:`SPIRIT`) - RETURN properties(r) as edge_properties - LIMIT 1 - :result:{'keywords': '"reflection, nostalgia"', 'weight': 6.0, 'description': '"The Spirit leads Scrooge to the School, invoking memories of solitary times that deeply impact his emotional state."', 'source_id': 'chunk-bb21d58d36c6306fd8810ddd51c4a971'} -2024-10-30 06:53:27,539 - lightrag - INFO - get_edge:query: - MATCH (start:`CRATCHIT FAMILY`)-[r]->(end:`THE GOOSE`) - RETURN properties(r) as edge_properties - LIMIT 1 - :result:{'keywords': '"symbol of abundance, celebration"', 'weight': 10.0, 'description': '"The Goose represents the festive meal that the Cratchit family cherishes during their Christmas gathering, enhancing their celebration."', 'source_id': 'chunk-7e2e7ebcc19a53b399dc03aded4743e7'} -2024-10-30 06:53:27,633 - lightrag - INFO - get_edge:query: - MATCH (start:`CHRISTMAS`)-[r]->(end:`MISTLETOE`) - RETURN properties(r) as edge_properties - LIMIT 1 - :result:{'keywords': '"festive symbols, joy"', 'weight': 7.0, 'description': '"Mistletoe is a traditional decoration that enhances the joy and atmosphere of Christmas."', 'source_id': 'chunk-99b0ec7f7e006561352b5d65e849611d'} -2024-10-30 06:53:27,726 - lightrag - INFO - get_edge:query: - MATCH (start:`DEATH`)-[r]->(end:`SCROOGE`) - RETURN properties(r) as edge_properties - LIMIT 1 - :result:{'keywords': '"existential crisis, contemplation"', 'weight': 9.0, 'description': '"Scrooge grapples with the idea of Death as he witnesses the aftermath of The Deceased\'s life, leading to an inner turmoil."', 'source_id': 'chunk-e1f29eeadc1d8ab46dc8a0bbd3c56b64'} -2024-10-30 06:53:27,821 - lightrag - INFO - get_edge:query: - MATCH (start:`SCROOGE`)-[r]->(end:`THE DOWERLESS GIRL`) - RETURN properties(r) as edge_properties - LIMIT 1 - :result:{'keywords': '"social constraints, regret"', 'weight': 12.0, 'description': '"Scrooge\'s reflections on the dowerless girl highlight the social constraints influencing his choices and feelings of regret."', 'source_id': 'chunk-54bdd22db1f84a965b5f4c06c9216d8d'} -2024-10-30 06:53:27,917 - lightrag - INFO - get_edge:query: - MATCH (start:`CRATCHIT FAMILY`)-[r]->(end:`DEATH`) - RETURN properties(r) as edge_properties - LIMIT 1 - :result:{'keywords': '"grief, family dynamics"', 'weight': 8.0, 'description': '"The death event impacts the Cratchit family deeply, influencing their emotional state and perceptions of hope and kindness."', 'source_id': 'chunk-83ac129dc9b56f84c46760d153d68e93'} -2024-10-30 06:53:28,013 - lightrag - INFO - get_edge:query: - MATCH (start:`FELLOW-BEINGS`)-[r]->(end:`SCROOGE`) - RETURN properties(r) as edge_properties - LIMIT 1 - :result:{'keywords': '"neglect, realization"', 'weight': 16.0, 'description': '"Scrooge is confronted with his past choices to ignore Fellow-beings, leading to a realization of his moral failures."', 'source_id': 'chunk-359187e7571bda4b0b08b2e0b6581e52'} -2024-10-30 06:53:28,107 - lightrag - INFO - get_edge:query: - MATCH (start:`CLERK`)-[r]->(end:`SCROOGE`) - RETURN properties(r) as edge_properties - LIMIT 1 - :result:{'keywords': '"contrast, workplace dynamics""employment relationship, respect"', 'weight': 10.0, 'description': '"Scrooge\'s Clerk represents a contrasting viewpoint to Scrooge\'s own, showcasing a degree of warmth that Scrooge actively dismisses.""The Clerk communicates with Scrooge about his work, highlighting the lack of mutual respect in their employer-employee relationship."', 'source_id': 'chunk-d9aac3484185ac66045df92214d245d5chunk-5dac41b3f9eeaf794f0147400b1718cd'} -2024-10-30 06:53:28,201 - lightrag - INFO - get_edge:query: - MATCH (start:`SCROOGE`)-[r]->(end:`THE DECEASED`) - RETURN properties(r) as edge_properties - LIMIT 1 - :result:{'keywords': '"reflection, mortality"', 'weight': 8.0, 'description': '"Scrooge reflects on the condition and life of The Deceased, equating his own life with the man\'s fate, indicating a profound contemplation of mortality."', 'source_id': 'chunk-e1f29eeadc1d8ab46dc8a0bbd3c56b64'} -2024-10-30 06:53:28,290 - lightrag - INFO - get_edge:query: - MATCH (start:`SCROOGE`)-[r]->(end:`THE LAMPLIGHTER`) - RETURN properties(r) as edge_properties - LIMIT 1 - :result:{'keywords': '"contrast, positivity"', 'weight': 12.0, 'description': '"The Lamplighter\'s cheerful demeanor contrasts with Scrooge\'s initial outlook, highlighting the possibility of joy in life."', 'source_id': 'chunk-91614df5cb74cbe5e109a338a82041e9'} -2024-10-30 06:53:28,383 - lightrag - INFO - get_edge:query: - MATCH (start:`DICK`)-[r]->(end:`SCROOGE`) - RETURN properties(r) as edge_properties - LIMIT 1 - :result:{'keywords': '"nostalgia, friendship"', 'weight': 14.0, 'description': '"Scrooge remembers Dick as a part of his past, highlighting their shared experiences during happier times.""Scrooge\'s memories of Dick evoke a sense of nostalgia and reflection on the changes in his life and their friendship."', 'source_id': 'chunk-b2f98bc7abb0c67d4c86055c7fd72218'} -2024-10-30 06:53:28,473 - lightrag - INFO - get_edge:query: - MATCH (start:`OLD JOE`)-[r]->(end:`THE SHOP`) - RETURN properties(r) as edge_properties - LIMIT 1 - :result:{'keywords': '"business hub, unscrupulous dealings"', 'weight': 8.0, 'description': '"Old Joe\'s activities, including the appraisal of stolen items, solidify the shop\'s role as a hub for unscrupulous dealings."', 'source_id': 'chunk-60fc063c79fc0d4acc91a57e79de04dc'} -2024-10-30 06:53:28,568 - lightrag - INFO - get_edge:query: - MATCH (start:`SCROOGE`)-[r]->(end:`THE CRATCHIT HOUSE`) - RETURN properties(r) as edge_properties - LIMIT 1 - :result:{'keywords': '"compassion, familial connection"', 'weight': 18.0, 'description': '"Scrooge\'s reflections in The Cratchit House illustrate his evolving understanding of compassion and connection to others."', 'source_id': 'chunk-83ac129dc9b56f84c46760d153d68e93'} -2024-10-30 06:53:28,662 - lightrag - INFO - get_edge:query: - MATCH (start:`ALI BABA`)-[r]->(end:`SCROOGE`) - RETURN properties(r) as edge_properties - LIMIT 1 - :result:{'keywords': '"memory, kindness""nostalgia, childhood stories"', 'weight': 15.0, 'description': '"Scrooge recalls Ali Baba fondly, indicating a positive association with adventurers and kindness during Christmas.""Scrooge recalls Ali Baba while reflecting on memories of Christmas, indicating a strong personal connection to the story and its impact on him."', 'source_id': 'chunk-8590d9263cd2cd4fa583c432fc54e6c3'} -2024-10-30 06:53:28,756 - lightrag - INFO - get_edge:query: - MATCH (start:`JACOB`)-[r]->(end:`SCROOGE`) - RETURN properties(r) as edge_properties - LIMIT 1 - :result:{'keywords': '"past reflections, moral lesson""reflection, past relationship"', 'weight': 16.0, 'description': '"Scrooge reflects on his past relationship with Jacob, influenced by feelings of guilt and loss after Jacob\'s death.""Scrooge reflects on his relationship with Jacob, understanding the past implications of his death for his own future."', 'source_id': 'chunk-f1a4fbcf1ed86864b9bfd5e8dba4c683'} -2024-10-30 06:53:28,849 - lightrag - INFO - get_edge:query: - MATCH (start:`THE BUNDLE`)-[r]->(end:`THE DECEASED MAN`) - RETURN properties(r) as edge_properties - LIMIT 1 - :result:{'keywords': '"material legacy, value"', 'weight': 14.0, 'description': '"The Bundle contains the belongings that once belonged to The Deceased Man, illustrating the material value placed on his life after death."', 'source_id': 'chunk-e1f29eeadc1d8ab46dc8a0bbd3c56b64'} -2024-10-30 06:53:28,941 - lightrag - INFO - get_edge:query: - MATCH (start:`CHILDREN`)-[r]->(end:`SPIRIT`) - RETURN properties(r) as edge_properties - LIMIT 1 - :result:{'keywords': '"social issues, innocence"', 'weight': 9.0, 'description': '"The Spirit introduces Scrooge to the Children as representations of societal neglect, urging recognition and action."', 'source_id': 'chunk-e7637ff18c5ded77a68cce0a87883fad'} -2024-10-30 06:53:29,037 - lightrag - INFO - get_edge:query: - MATCH (start:`COUNTING-HOUSE`)-[r]->(end:`SCROOGE`) - RETURN properties(r) as edge_properties - LIMIT 1 - :result:{'keywords': '"isolation, work environment""reflection, priorities"', 'weight': 32.0, 'description': '"Scrooge reflects on his life spent in the Counting-house, which represents his previous priorities focused on business over personal connections.""Scrooge reflects on his life spent in the Counting-house, which represents his previous priorities focused on business over personal connections.""Scrooge\'s counting-house is a reflection of his cold character and attitude towards life, where he isolates himself from human interactions.""Scrooge\'s counting-house is a reflection of his cold character and attitude towards life, where he isolates himself from human interactions."', 'source_id': 'chunk-359187e7571bda4b0b08b2e0b6581e52chunk-74e2466de2f67fd710ef2f20c0a8d9e0'} -2024-10-30 06:53:29,136 - lightrag - INFO - get_edge:query: - MATCH (start:`SCROOGE`)-[r]->(end:`THE GHOST OF CHRISTMAS PRESENT`) - RETURN properties(r) as edge_properties - LIMIT 1 - :result:{'keywords': '"awareness, joy""compassion, insight""supernatural guidance, social impact""transformation, guidance"', 'weight': 34.0, 'description': '"The Ghost of Christmas Present exposes Scrooge to the joy and generosity he has been missing.""The Ghost of Christmas Present observes Scrooge\'s transformation and emotional engagement with his memories of Christmas.""The Ghost of Christmas Present shows Scrooge the joy and importance of kindness during Christmas, impacting his perspective on social issues.""The Ghost of Christmas Present shows Scrooge the joy and hardships of others during Christmas, deepening his understanding of compassion."', 'source_id': 'chunk-43c9bee23adfa77aa9dedd22401bba7dchunk-90b95db5c53e4364a6bee36b7aa4d70fchunk-b0f459f5af1c3a5e0b92cbe4ee48b77b'} -2024-10-30 06:53:29,226 - lightrag - INFO - get_edge:query: - MATCH (start:`SCHOOL`)-[r]->(end:`SCROOGE`) - RETURN properties(r) as edge_properties - LIMIT 1 - :result:{'keywords': '"neglect, formative experiences"', 'weight': 7.0, 'description': '"The School serves as a poignant reminder of Scrooge\'s childhood neglect, influencing his character development and emotional barriers."', 'source_id': 'chunk-bb21d58d36c6306fd8810ddd51c4a971'} -2024-10-30 06:53:29,317 - lightrag - INFO - get_edge:query: - MATCH (start:`JOE`)-[r]->(end:`SCROOGE`) - RETURN properties(r) as edge_properties - LIMIT 1 - :result:{'keywords': '"perspective contrast, moral dilemma"', 'weight': 12.0, 'description': '"Joe\'s cynical attitude towards death and belongings contrasts with Scrooge\'s moral horror, creating a tension between their perspectives."', 'source_id': 'chunk-e1f29eeadc1d8ab46dc8a0bbd3c56b64'} -2024-10-30 06:53:29,409 - lightrag - INFO - get_edge:query: - MATCH (start:`CHRISTMAS`)-[r]->(end:`SCROOGE'S NEPHEW`) - RETURN properties(r) as edge_properties - LIMIT 1 - :result:{'keywords': '"advocacy for holiday spirit, family dynamics""celebration, contrasting views""festivity, positive influence"', 'weight': 34.0, 'description': '"Scrooge\'s Nephew associates Christmas with goodwill and joy, which he tries to instill in Scrooge through their conversation.""Scrooge\'s Nephew defends the positive aspects of Christmas, contrasting Scrooge\'s view that the holiday is pointless.""Scrooge\'s nephew embodies the spirit of Christmas, representing joy and good humor during the holiday season.""Scrooge\'s nephew views Christmas as a merry occasion, symbolizing the warmth and generosity that Scrooge dismisses."', 'source_id': 'chunk-91614df5cb74cbe5e109a338a82041e9chunk-5dac41b3f9eeaf794f0147400b1718cdchunk-74e2466de2f67fd710ef2f20c0a8d9e0'} -2024-10-30 06:53:29,504 - lightrag - INFO - get_edge:query: - MATCH (start:`THE DAUGHTER`)-[r]->(end:`THE MOTHER`) - RETURN properties(r) as edge_properties - LIMIT 1 - :result:{'keywords': '"familial love, joy"', 'weight': 7.0, 'description': '"The Mother and Daughter share a loving and playful relationship, showcasing familial bonds and joy during the Christmas season."', 'source_id': 'chunk-54bdd22db1f84a965b5f4c06c9216d8d'} -2024-10-30 06:53:29,594 - lightrag - INFO - get_edge:query: - MATCH (start:`BOB CRATCHIT`)-[r]->(end:`THE TANK`) - RETURN properties(r) as edge_properties - LIMIT 1 - :result:{'keywords': '"workplace, struggle"', 'weight': 14.0, 'description': '"Bob\'s working conditions in The Tank under Scrooge reflect the challenges he faces as a struggling employee supporting his family."', 'source_id': 'chunk-94bea83e7153fc2064aa382b494936a1'} -2024-10-30 06:53:29,688 - lightrag - INFO - get_edge:query: - MATCH (start:`SCROOGE`)-[r]->(end:`THE HOUSE`) - RETURN properties(r) as edge_properties - LIMIT 1 - :result:{'keywords': '"haunting, setting influence""setting, atmosphere"', 'weight': 15.0, 'description': '"Scrooge\'s experiences and encounters with Marley occur within The House, which plays a significant role in the haunting atmosphere.""Scrooge\'s experiences with Marley\'s Ghost occur within The House, which plays a crucial role in the haunting atmosphere."', 'source_id': 'chunk-9c43dac2fcd5b578242d907ea6f8fc7b'} -2024-10-30 06:53:29,780 - lightrag - INFO - get_edge:query: - MATCH (start:`GHOST OF CHRISTMAS PRESENT`)-[r]->(end:`SPIRIT`) - RETURN properties(r) as edge_properties - LIMIT 1 - :result:{'keywords': '"mentoring, generosity"', 'weight': 10.0, 'description': '"The Ghost embodies the essence of Christmas present, revealing the themes of joy and abundance to Scrooge."', 'source_id': 'chunk-843b5b2f944c7413d9ca876e2e2f151f'} -2024-10-30 06:53:29,876 - lightrag - INFO - get_edge:query: - MATCH (start:`SCROOGE`)-[r]->(end:`THE CLOCK`) - RETURN properties(r) as edge_properties - LIMIT 1 - :result:{'keywords': '"disorientation, urgency""time distortion, confusion"', 'weight': 13.0, 'description': '"Scrooge\'s awareness of time is challenged by The Clock, reflecting his confusion and the urgency of his situation.""Scrooge\'s interaction with the faulty clock symbolizes his disconnection from time and reality, as he struggles to comprehend his experiences."', 'source_id': 'chunk-cb661c37436355ccec2769b1d0350c5f'} -2024-10-30 06:53:29,971 - lightrag - INFO - get_edge:query: - MATCH (start:`BOB CRATCHIT`)-[r]->(end:`THE POULTERER'S`) - RETURN properties(r) as edge_properties - LIMIT 1 - :result:{'keywords': '"commerce, generosity"', 'weight': 12.0, 'description': '"The Poulterer\'s shop is where Scrooge instructs the boy to buy a turkey for the Cratchit family, linking commerce to kindness."', 'source_id': 'chunk-90b95db5c53e4364a6bee36b7aa4d70f'} -2024-10-30 06:53:30,064 - lightrag - INFO - get_edge:query: - MATCH (start:`BEDLAM`)-[r]->(end:`SCROOGE`) - RETURN properties(r) as edge_properties - LIMIT 1 - :result:{'keywords': '"disdain, societal norms"', 'weight': 12.0, 'description': '"Scrooge invokes the concept of Bedlam to express his disbelief and frustration at the cheerfulness of others, implying a disdain for societal norms."', 'source_id': 'chunk-5dac41b3f9eeaf794f0147400b1718cd'} -2024-10-30 06:53:30,158 - lightrag - INFO - get_edge:query: - MATCH (start:`CHRISTMAS CAROL`)-[r]->(end:`SCROOGE`) - RETURN properties(r) as edge_properties - LIMIT 1 - :result:{'keywords': '"generosity, connection"', 'weight': 8.0, 'description': '"Scrooge recalls a Christmas carol, wishing to give to a boy, which signifies his longing for connection and generosity."', 'source_id': 'chunk-8590d9263cd2cd4fa583c432fc54e6c3'} -2024-10-30 06:53:30,252 - lightrag - INFO - get_edge:query: - MATCH (start:`SCROOGE`)-[r]->(end:`THE BELL`) - RETURN properties(r) as edge_properties - LIMIT 1 - :result:{'keywords': '"foreboding, supernatural""supernatural event, signaling"', 'weight': 15.0, 'description': '"The Bell\'s movement and sound foreshadow Marley\'s Ghost\'s appearance, enhancing the sense of impending supernatural activity in Scrooge\'s environment.""The Bell\'s unexpected ringing is associated with the appearance of Marley’s Ghost, enhancing the supernatural events in The House."', 'source_id': 'chunk-9c43dac2fcd5b578242d907ea6f8fc7b'} -2024-10-30 06:53:30,344 - lightrag - INFO - get_edge:query: - MATCH (start:`CHILDREN`)-[r]->(end:`SCROOGE`) - RETURN properties(r) as edge_properties - LIMIT 1 - :result:{'keywords': '"emotional detachment, joy""longing, innocence"', 'weight': 12.0, 'description': '"Scrooge\'s indifference towards children shows his emotional coldness and detachment from the joyous aspects of life.""Scrooge\'s reaction to the Children he observes in his memories reveals his longing for the happiness he once knew but has since lost."', 'source_id': 'chunk-74e2466de2f67fd710ef2f20c0a8d9e0chunk-bb21d58d36c6306fd8810ddd51c4a971'} -2024-10-30 06:53:30,437 - lightrag - INFO - get_edge:query: - MATCH (start:`GHOST`)-[r]->(end:`SPECTRE`) - RETURN properties(r) as edge_properties - LIMIT 1 - :result:{'keywords': '"identity, motivation"', 'weight': 20.0, 'description': '"The Spectre is synonymous with the Ghost, representing the collective spirit urging Scrooge to change his ways."', 'source_id': 'chunk-359187e7571bda4b0b08b2e0b6581e52'} -2024-10-30 06:53:30,528 - lightrag - INFO - get_edge:query: - MATCH (start:`POOR AND DESTITUTE`)-[r]->(end:`SCROOGE`) - RETURN properties(r) as edge_properties - LIMIT 1 - :result:{'keywords': '"miserliness, social neglect"', 'weight': 14.0, 'description': '"Scrooge\'s reluctance to support the Poor and Destitute highlights his miserly nature and his antagonism toward societal responsibility."', 'source_id': 'chunk-5dac41b3f9eeaf794f0147400b1718cd'} -2024-10-30 06:53:30,621 - lightrag - INFO - get_edge:query: - MATCH (start:`BOYS`)-[r]->(end:`SCROOGE`) - RETURN properties(r) as edge_properties - LIMIT 1 - :result:{'keywords': '"joy, childhood memories"', 'weight': 14.0, 'description': '"Scrooge feels joy upon seeing the boys, evoking memories of childhood experiences and emotions associated with them."', 'source_id': 'chunk-bb21d58d36c6306fd8810ddd51c4a971'} -2024-10-30 06:53:30,719 - lightrag - INFO - get_edge:query: - MATCH (start:`CHRISTMAS DAY`)-[r]->(end:`SCROOGE`) - RETURN properties(r) as edge_properties - LIMIT 1 - :result:{'keywords': '"seasonal significance, renewal""transformation, celebration"', 'weight': 19.0, 'description': '"Scrooge experiences a profound change on Christmas Day, which signifies his newfound joy and generosity.""Scrooge\'s change in attitude and actions occur on Christmas Day, making it a pivotal event in his story."', 'source_id': 'chunk-90b95db5c53e4364a6bee36b7aa4d70f'} -2024-10-30 06:53:30,814 - lightrag - INFO - get_edge:query: - MATCH (start:`BOB CRATCHIT`)-[r]->(end:`CHRISTMAS EVE`) - RETURN properties(r) as edge_properties - LIMIT 1 - :result:{'keywords': '"celebration, contrast""festive spirit, contrasting perspectives"', 'weight': 13.0, 'description': '"Bob Cratchit celebrates Christmas Eve with joy and innocence, showcasing the festive spirit that Scrooge rejects.""Bob Cratchit embodies the joy of Christmas Eve while Scrooge\'s perspective starkly contrasts with Bob\'s happiness during the holiday season."', 'source_id': 'chunk-d9aac3484185ac66045df92214d245d5'} -2024-10-30 06:53:30,909 - lightrag - INFO - get_edge:query: - MATCH (start:`BOB CRATCHIT`)-[r]->(end:`CAMDEN TOWN`) - RETURN properties(r) as edge_properties - LIMIT 1 - :result:{'keywords': '"contrast, warmth""family life, geographical contrast"', 'weight': 13.0, 'description': '"Bob Cratchit lives in Camden Town, highlighting the geographical context of his life and family, contrasting with Scrooge\'s isolated existence.""Camden Town serves as a location representing warmth and family contrast to Scrooge\'s loneliness."', 'source_id': 'chunk-d9aac3484185ac66045df92214d245d5'} -2024-10-30 06:53:31,005 - lightrag - INFO - get_edge:query: - MATCH (start:`CHRISTMAS`)-[r]->(end:`THE SHIP`) - RETURN properties(r) as edge_properties - LIMIT 1 - :result:{'keywords': '"unity, shared experience"', 'weight': 16.0, 'description': '"The Ship\'s crew celebrates Christmas together, creating a sense of unity and shared joy despite their circumstances."', 'source_id': 'chunk-91614df5cb74cbe5e109a338a82041e9'} -2024-10-30 06:53:31,099 - lightrag - INFO - get_edge:query: - MATCH (start:`IGNORANCE`)-[r]->(end:`SPIRIT`) - RETURN properties(r) as edge_properties - LIMIT 1 - :result:{'keywords': '"social issues, awareness""social warning, awareness"', 'weight': 30.0, 'description': '"The Spirit introduces Ignorance to Scrooge as a representation of societal failures, urging him to acknowledge and address these issues.""The Spirit introduces Ignorance to Scrooge as a representation of societal failures, urging him to acknowledge and address these issues.""The Spirit points out Ignorance, highlighting the need for awareness and responsibility toward societal issues.""The Spirit points out Ignorance, highlighting the need for awareness and responsibility toward societal issues."', 'source_id': 'chunk-02baee20cc9463dbe08170a8e1043e32chunk-e7637ff18c5ded77a68cce0a87883fad'} -2024-10-30 06:53:31,197 - lightrag - INFO - get_edge:query: - MATCH (start:`SCROOGE`)-[r]->(end:`WEALTH`) - RETURN properties(r) as edge_properties - LIMIT 1 - :result:{'keywords': '"materialism, character development"', 'weight': 8.0, 'description': '"Scrooge confronts the obsession with wealth which has led him away from meaningful connections and happiness."', 'source_id': 'chunk-b2f98bc7abb0c67d4c86055c7fd72218'} -2024-10-30 06:53:31,289 - lightrag - INFO - get_edge:query: - MATCH (start:`SCROOGE`)-[r]->(end:`THE THREE SPIRITS`) - RETURN properties(r) as edge_properties - LIMIT 1 - :result:{'keywords': '"redemption, transformation"', 'weight': 9.0, 'description': '"Scrooge is directly involved in the narrative concerning the Three Spirits who are meant to guide him toward redemption."', 'source_id': 'chunk-cb661c37436355ccec2769b1d0350c5f'} -2024-10-30 06:53:31,384 - lightrag - INFO - get_edge:query: - MATCH (start:`LONDON`)-[r]->(end:`SCROOGE`) - RETURN properties(r) as edge_properties - LIMIT 1 - :result:{'keywords': '"setting, seasonal context""setting, transformation"', 'weight': 12.0, 'description': '"London as the setting contextualizes Scrooge\'s experiences and transformations regarding Christmas celebrations.""Scrooge\'s experiences reflect the larger context of life in London during the festive season, emphasizing the mood of the city at that time."', 'source_id': 'chunk-d9aac3484185ac66045df92214d245d5chunk-43c9bee23adfa77aa9dedd22401bba7d'} -2024-10-30 06:53:31,480 - lightrag - INFO - get_edge:query: - MATCH (start:`BUSINESSMEN`)-[r]->(end:`SCROOGE`) - RETURN properties(r) as edge_properties - LIMIT 1 - :result:{'keywords': '"social interactions, superficiality"', 'weight': 7.0, 'description': '"Scrooge\'s past interactions with the businessmen are superficial, reflecting his focus on wealth and status rather than meaningful connections."', 'source_id': 'chunk-f1a4fbcf1ed86864b9bfd5e8dba4c683'} -2024-10-30 06:53:31,575 - lightrag - INFO - get_edge:query: - MATCH (start:`BOB CRATCHIT`)-[r]->(end:`THE FAMILY`) - RETURN properties(r) as edge_properties - LIMIT 1 - :result:{'keywords': '"family, responsibility"', 'weight': 16.0, 'description': '"Bob Cratchit is a central figure in The Family, demonstrating love and responsibility towards his children during Christmas."', 'source_id': 'chunk-94bea83e7153fc2064aa382b494936a1'} -2024-10-30 06:53:31,666 - lightrag - INFO - get_edge:query: - MATCH (start:`BOB`)-[r]->(end:`TINY TIM`) - RETURN properties(r) as edge_properties - LIMIT 1 - :result:{'keywords': '"family dynamics, loss"', 'weight': 8.0, 'description': '"Bob reflects on Tiny Tim\'s memory, highlighting the impact of his loss on the family dynamics."', 'source_id': 'chunk-91572b3cd42786ba4cb2f180ca25cbf4'} -2024-10-30 06:53:31,763 - lightrag - INFO - get_edge:query: - MATCH (start:`MARLEY`)-[r]->(end:`THE KNOCKER`) - RETURN properties(r) as edge_properties - LIMIT 1 - :result:{'keywords': '"supernatural symbolism, foreshadowing"', 'weight': 7.0, 'description': '"Marley is connected to the Knocker as the ghostly presence that Scrooge anticipates as he approaches his door, setting up the eerie tone of the haunting."', 'source_id': 'chunk-9c43dac2fcd5b578242d907ea6f8fc7b'} -2024-10-30 06:53:31,863 - lightrag - INFO - get_edge:query: - MATCH (start:`BEGGARS`)-[r]->(end:`SCROOGE`) - RETURN properties(r) as edge_properties - LIMIT 1 - :result:{'keywords': '"lack of compassion, social isolation"', 'weight': 12.0, 'description': '"Beggars do not seek help from Scrooge due to his reputation, highlighting his inability to connect and empathize with those in need."', 'source_id': 'chunk-74e2466de2f67fd710ef2f20c0a8d9e0'} -2024-10-30 06:53:31,965 - lightrag - INFO - get_edge:query: - MATCH (start:`GHOST OF CHRISTMAS PRESENT`)-[r]->(end:`TINY TIM`) - RETURN properties(r) as edge_properties - LIMIT 1 - :result:{'keywords': '"compassion, family"', 'weight': 18.0, 'description': '"The Ghost of Christmas Present reveals Tiny Tim’s struggles and optimism, emphasizing themes of compassion and family."', 'source_id': 'chunk-9e3921da66da5d761ab73cd849af6c43'} -2024-10-30 06:53:32,059 - lightrag - INFO - get_edge:query: - MATCH (start:`SCROOGE`)-[r]->(end:`WINDING RIVER`) - RETURN properties(r) as edge_properties - LIMIT 1 - :result:{'keywords': '"nostalgia, memory"', 'weight': 16.0, 'description': '"The winding river evokes memories and emotions for Scrooge, connecting him to his past experiences and places."', 'source_id': 'chunk-bb21d58d36c6306fd8810ddd51c4a971'} -2024-10-30 06:53:32,153 - lightrag - INFO - get_edge:query: - MATCH (start:`MULTITUDES`)-[r]->(end:`SCROOGE`) - RETURN properties(r) as edge_properties - LIMIT 1 - :result:{'keywords': '"alienation, introspection"', 'weight': 8.0, 'description': '"Scrooge\'s feelings of alienation are heightened as he witnesses the Multitudes, illustrating his inner turmoil and societal disconnect."', 'source_id': 'chunk-f1a4fbcf1ed86864b9bfd5e8dba4c683'} -2024-10-30 06:53:32,245 - lightrag - INFO - get_edge:query: - MATCH (start:`SCROOGE`)-[r]->(end:`SPIRIT OF CHRISTMAS PRESENT`) - RETURN properties(r) as edge_properties - LIMIT 1 - :result:{'keywords': '"transformation, generosity"', 'weight': 16.0, 'description': '"Scrooge interacts with the Spirit of Christmas Present, who shows him the joys of Christmas and the importance of generosity."', 'source_id': 'chunk-b0f459f5af1c3a5e0b92cbe4ee48b77b'} -2024-10-30 06:53:32,340 - lightrag - INFO - get_edge:query: - MATCH (start:`THE LIGHTHOUSE`)-[r]->(end:`THE WAVE`) - RETURN properties(r) as edge_properties - LIMIT 1 - :result:{'keywords': '"struggle, isolation"', 'weight': 14.0, 'description': '"The Wave\'s constant battering of the Lighthouse highlights the isolation and challenges faced by those in such remote environments."', 'source_id': 'chunk-91614df5cb74cbe5e109a338a82041e9'} -2024-10-30 06:53:32,434 - lightrag - INFO - get_edge:query: - MATCH (start:`SPIRIT`)-[r]->(end:`THE EVENT OF DEATH`) - RETURN properties(r) as edge_properties - LIMIT 1 - :result:{'keywords': '"emotional impact, mortality"', 'weight': 16.0, 'description': '"The Spirit highlights the emotional repercussions of The Event of Death, demonstrating the profound effects on those left behind."', 'source_id': 'chunk-83ac129dc9b56f84c46760d153d68e93'} -2024-10-30 06:53:32,527 - lightrag - INFO - get_edge:query: - MATCH (start:`MRS. CRATCHIT`)-[r]->(end:`SCROOGE`) - RETURN properties(r) as edge_properties - LIMIT 1 - :result:{'keywords': '"criticism, emotional conflict""resentment, family focus"', 'weight': 15.0, 'description': '"Mrs. Cratchit expresses her disdain for Scrooge while still wishing to celebrate Christmas for the sake of her family.""Mrs. Cratchit openly criticizes Scrooge during the Christmas dinner, expressing her feelings towards him and emphasizing the family\'s resentment."', 'source_id': 'chunk-19d72c57ae3408758b18d2568e86dc6b'} -2024-10-30 06:53:32,623 - lightrag - INFO - get_edge:query: - MATCH (start:`SCROOGE`)-[r]->(end:`THE WINDOW`) - RETURN properties(r) as edge_properties - LIMIT 1 - :result:{'keywords': '"curiosity, fear"', 'weight': 10.0, 'description': '"Scrooge approaches The Window, which acts as a portal to the outside world and the supernatural, illustrating his curiosity and fear."', 'source_id': 'chunk-cb661c37436355ccec2769b1d0350c5f'} -2024-10-30 06:53:32,717 - lightrag - INFO - get_edge:query: - MATCH (start:`FOG`)-[r]->(end:`SCROOGE`) - RETURN properties(r) as edge_properties - LIMIT 1 - :result:{'keywords': '"atmosphere, emotional reflection""obscurity, isolation"', 'weight': 16.0, 'description': '"Fog represents the obscured vision of Scrooge\'s soul and emotions, aligning with his unknowable nature.""The fog obscures vision and symbolizes Scrooge’s cloudy outlook on life, illustrating his isolation from societal warmth."', 'source_id': 'chunk-d9aac3484185ac66045df92214d245d5chunk-74e2466de2f67fd710ef2f20c0a8d9e0'} -2024-10-30 06:53:32,810 - lightrag - INFO - get_edge:query: - MATCH (start:`ROBIN CRUSOE`)-[r]->(end:`SCROOGE`) - RETURN properties(r) as edge_properties - LIMIT 1 - :result:{'keywords': '"literary influence, nostalgia"', 'weight': 7.0, 'description': '"Scrooge\'s reference to Robin Crusoe during his reflections shows how literary characters shaped his childhood thoughts and feelings."', 'source_id': 'chunk-8590d9263cd2cd4fa583c432fc54e6c3'} -2024-10-30 06:53:32,906 - lightrag - INFO - get_edge:query: - MATCH (start:`GHOST OF JACOB MARLEY`)-[r]->(end:`SCROOGE`) - RETURN properties(r) as edge_properties - LIMIT 1 - :result:{'keywords': '"warning, transformation"', 'weight': 18.0, 'description': '"Jacob Marley appears to Scrooge as a warning and catalyst for his eventual transformation into a better person."', 'source_id': 'chunk-9e3921da66da5d761ab73cd849af6c43'} -2024-10-30 06:53:33,001 - lightrag - INFO - get_edge:query: - MATCH (start:`MARTHA CRATCHIT`)-[r]->(end:`THE COUNTESS`) - RETURN properties(r) as edge_properties - LIMIT 1 - :result:{'keywords': '"social aspirations, class contrast"', 'weight': 10.0, 'description': '"Martha’s mention of having seen the Countess represents her connection to higher social circles and dreams beyond her current situation."', 'source_id': 'chunk-19d72c57ae3408758b18d2568e86dc6b'} -2024-10-30 06:53:33,095 - lightrag - INFO - get_edge:query: - MATCH (start:`SCROOGE`)-[r]->(end:`TINY TIM`) - RETURN properties(r) as edge_properties - LIMIT 1 - :result:{'keywords': '"generosity, familial love""innocence, hope""personal transformation, empathy""reflection, transformation""transformation, holiday spirit""transformation, mentorship""transformation, redemption"', 'weight': 67.0, 'description': '"Scrooge becomes a father figure to Tiny Tim, showing a deep commitment to his well-being after realizing the importance of family and caring for others.""Scrooge reflects on Tiny Tim and expresses concern for his wellbeing, indicating a pivotal change in his character and attitudes towards the less fortunate.""Scrooge\'s transformation is influenced by his reflections on the impact of Tiny Tim\'s life and death.""Scrooge becomes emotionally affected by Tiny Tim\'s situation, leading him to reflect on his past words and actions regarding the welfare of others.""Scrooge expresses a newfound joy during Christmas, indicating a change in attitude towards the spirit symbolized by Tiny Tim.""Scrooge reflects on Tiny Tim\'s essence and the impact of his potential death, considering how it could prompt him to change his ways.""Scrooge\'s intention to send a large turkey to Bob Cratchit\'s family, particularly to Tiny Tim, shows his emotional connection and desire to help.""Tiny Tim is affected by the family\'s feelings towards Scrooge, and he embodies the hope for joy despite Scrooge\'s unkind nature."', 'source_id': 'chunk-90b95db5c53e4364a6bee36b7aa4d70fchunk-19d72c57ae3408758b18d2568e86dc6bchunk-503f0bfa5453467c7c61d160a3540ecachunk-91572b3cd42786ba4cb2f180ca25cbf4chunk-8f738cb25d60a7dab782162d9d0a25edchunk-94bea83e7153fc2064aa382b494936a1'} -2024-10-30 06:53:33,191 - lightrag - INFO - get_edge:query: - MATCH (start:`MR. MARLEY`)-[r]->(end:`SCROOGE`) - RETURN properties(r) as edge_properties - LIMIT 1 - :result:{'keywords': '"past connection, isolation"', 'weight': 7.0, 'description': '"Scrooge reflects on Mr. Marley\'s death, highlighting his isolation and connection to past values that he now rejects."', 'source_id': 'chunk-5dac41b3f9eeaf794f0147400b1718cd'} -2024-10-30 06:53:33,287 - lightrag - INFO - get_edge:query: - MATCH (start:`CHRISTMAS`)-[r]->(end:`GROCERS'`) - RETURN properties(r) as edge_properties - LIMIT 1 - :result:{'keywords': '"retail, festive celebration"', 'weight': 16.0, 'description': '"The Grocers\' organization plays a crucial role during Christmas by providing goods that contribute to the festive spirit."', 'source_id': 'chunk-99b0ec7f7e006561352b5d65e849611d'} -2024-10-30 06:53:33,382 - lightrag - INFO - get_edge:query: - MATCH (start:`CHRISTMAS`)-[r]->(end:`THE DINNER`) - RETURN properties(r) as edge_properties - LIMIT 1 - :result:{'keywords': '"festive occasion, celebration"', 'weight': 20.0, 'description': '"The Dinner is part of the Christmas celebration, reflecting the traditions and spirit associated with this holiday."', 'source_id': 'chunk-503f0bfa5453467c7c61d160a3540eca'} -2024-10-30 06:53:33,475 - lightrag - INFO - get_edge:query: - MATCH (start:`APPLES`)-[r]->(end:`CHRISTMAS`) - RETURN properties(r) as edge_properties - LIMIT 1 - :result:{'keywords': '"seasonal offerings, tradition"', 'weight': 6.0, 'description': '"Apples are featured in markets during Christmas, indicating traditional holiday fare."', 'source_id': 'chunk-99b0ec7f7e006561352b5d65e849611d'} -2024-10-30 06:53:33,568 - lightrag - INFO - get_edge:query: - MATCH (start:`CLOCK`)-[r]->(end:`SCROOGE`) - RETURN properties(r) as edge_properties - LIMIT 1 - :result:{'keywords': '"time symbolism, anxiety"', 'weight': 14.0, 'description': '"Scrooge\'s observations of the Clock reflect his anxiety over time and the supernatural events unfolding around him."', 'source_id': 'chunk-c7b10789a9cb0af6c553730b29bd9034'} -2024-10-30 06:53:33,663 - lightrag - INFO - get_edge:query: - MATCH (start:`SCROOGE`)-[r]->(end:`THE WAREHOUSE`) - RETURN properties(r) as edge_properties - LIMIT 1 - :result:{'keywords': '"business partnership, character motivation""memories, apprenticeship"', 'weight': 16.0, 'description': '"Scrooge\'s connection to the Warehouse emphasizes his memories of apprenticeship and his past experiences.""The Warehouse symbolizes Scrooge\'s business practices and his partnership with Marley, shaping his character\'s motivations."', 'source_id': 'chunk-c6c248858d1b13ab7ee9ca13c1aeed6bchunk-89777b838d5447c7bd1ec11282c4ee89'} -2024-10-30 06:53:33,755 - lightrag - INFO - get_edge:query: - MATCH (start:`JACOB MARLEY`)-[r]->(end:`SCROOGE`) - RETURN properties(r) as edge_properties - LIMIT 1 - :result:{'keywords': '"catalyst for change, supernatural guidance""past influence, warning""redemption, influence""redemption, moral lesson""redemption, spiritual influence""self-reflection, legacy""supernatural encounter, past ties""transformation, influence""warning, catalyst""warning, consequence""warning, transformation"', 'weight': 98.0, 'description': '"Jacob Marley influences Scrooge\'s transformation by appearing as a spirit to warn him.""Jacob Marley is the spirit who brings forth the need for Scrooge to change his ways, impacting his character development.""Scrooge confronts Jacob Marley, his former business partner, who returns as a ghost to influence Scrooge\'s perspective on life and his actions.""Scrooge converses with the ghost of Jacob Marley, who tries to guide him toward understanding the importance of compassion and the consequences of his actions.""Scrooge interacts with Jacob Marley, who serves as a critical warning for Scrooge to change his ways before it\'s too late.""Scrooge reflects on Jacob Marley’s past warnings, which serve as a catalyst for his transformation.""Scrooge\'s transformation is prompted by the appearance and message of Jacob Marley, his former business partner.""Jacob Marley warns Scrooge about his fate and the importance of change, acting as a catalyst for Scrooge\'s transformation.""Scrooge acknowledges Jacob Marley, recognizing his former business partner\'s lost opportunities and the implications for his own life.""Scrooge is visited by Jacob Marley, who warns him about his fate and the necessity for personal change to avoid a bleak future.""Scrooge\'s transformation is influenced by Jacob Marley\'s ghost, who represents the consequences of a life poorly lived."', 'source_id': 'chunk-90b95db5c53e4364a6bee36b7aa4d70fchunk-359187e7571bda4b0b08b2e0b6581e52chunk-da2472b4ef2a535b62908f14d0fb0ca9chunk-02baee20cc9463dbe08170a8e1043e32chunk-1aa50206d02ed89418f65f97c6441d1cchunk-91572b3cd42786ba4cb2f180ca25cbf4chunk-cb661c37436355ccec2769b1d0350c5f'} -2024-10-30 06:53:33,848 - lightrag - INFO - get_edge:query: - MATCH (start:`CITY`)-[r]->(end:`SCROOGE`) - RETURN properties(r) as edge_properties - LIMIT 1 - :result:{'keywords': '"indifference, societal critique""societal impact, personal change"', 'weight': 15.0, 'description': '"Scrooge experiences the indifference of the City towards his death, illustrating societal apathy.""Scrooge\'s transformation is set against the backdrop of the City, reflecting the societal implications of his personal changes."', 'source_id': 'chunk-843b5b2f944c7413d9ca876e2e2f151fchunk-02baee20cc9463dbe08170a8e1043e32'} -2024-10-30 06:53:33,947 - lightrag - INFO - get_edge:query: - MATCH (start:`SCROOGE`)-[r]->(end:`THE YOUNG GIRL`) - RETURN properties(r) as edge_properties - LIMIT 1 - :result:{'keywords': '"reflection, lost love"', 'weight': 8.0, 'description': '"Scrooge reflects on his past feelings for the Young Girl, recognizing the change in his own spirit and desires over time."', 'source_id': 'chunk-54bdd22db1f84a965b5f4c06c9216d8d'} -2024-10-30 06:53:34,041 - lightrag - INFO - get_edge:query: - MATCH (start:`CHRISTMAS`)-[r]->(end:`THE SPIRIT`) - RETURN properties(r) as edge_properties - LIMIT 1 - :result:{'keywords': '"holiday spirit, compassion""seasonal influence, moral reflection"', 'weight': 34.0, 'description': '"The Spirit connects various scenes to the theme of Christmas, emphasizing its impact on individuals’ attitudes and behaviors.""The Spirit connects various scenes to the theme of Christmas, emphasizing its impact on individuals’ attitudes and behaviors.""The Spirit\'s appearances highlight the themes of Christmas and the importance of compassion and community.""The Spirit\'s appearances highlight the themes of Christmas and the importance of compassion and community."', 'source_id': 'chunk-91614df5cb74cbe5e109a338a82041e9chunk-da2472b4ef2a535b62908f14d0fb0ca9'} -2024-10-30 06:53:34,131 - lightrag - INFO - get_edge:query: - MATCH (start:`CHRISTMAS`)-[r]->(end:`THE LIGHTHOUSE`) - RETURN properties(r) as edge_properties - LIMIT 1 - :result:{'keywords': '"hope, celebration"', 'weight': 14.0, 'description': '"The Lighthouse is a site where Christmas is celebrated, symbolizing hope and warmth in a bleak environment."', 'source_id': 'chunk-91614df5cb74cbe5e109a338a82041e9'} -2024-10-30 06:53:34,319 - lightrag - INFO - get_edge:query: - MATCH (start:`SCROOGE`)-[r]->(end:`SCROOGE'S NIECE`) - RETURN properties(r) as edge_properties - LIMIT 1 - :result:{'keywords': '"family bonds, celebration""family conflict, holiday spirit""family dynamics, transformation""ideological conflict, family dynamics"', 'weight': 30.0, 'description': '"Scrooge observes his niece enjoying the Christmas festivities, which influences his own mood and perspective towards the holiday spirit.""Scrooge\'s Niece expresses indignation towards Scrooge\'s belief that Christmas is a humbug, demonstrating her strong opinions against his views.""Scrooge\'s niece embraces the joyful atmosphere of the celebration, engaging with family and inviting good-natured fun.""Scrooge\'s Niece shows indignation toward Scrooge\'s negativity about Christmas, highlighting the familial tensions between them."', 'source_id': 'chunk-773d0df1dd25c356f7b771d780583e09chunk-43c9bee23adfa77aa9dedd22401bba7d'} -2024-10-30 06:53:34,415 - lightrag - INFO - get_edge:query: - MATCH (start:`SCROOGE`)-[r]->(end:`THE GIRL`) - RETURN properties(r) as edge_properties - LIMIT 1 - :result:{'keywords': '"family ties, kindness"', 'weight': 8.0, 'description': '"Scrooge\'s pleasant interaction with The Girl at Fred\'s house shows his desire for family connection and warmth."', 'source_id': 'chunk-8f738cb25d60a7dab782162d9d0a25ed'} -2024-10-30 06:53:34,508 - lightrag - INFO - get_edge:query: - MATCH (start:`SCROOGE`)-[r]->(end:`THE POULTERER'S`) - RETURN properties(r) as edge_properties - LIMIT 1 - :result:{'keywords': '"generosity, commerce"', 'weight': 8.0, 'description': '"Scrooge interacts with The Poulterer\'s to purchase a turkey as an act of generosity toward Bob Cratchit\'s family."', 'source_id': 'chunk-90b95db5c53e4364a6bee36b7aa4d70f'} -2024-10-30 06:53:34,603 - lightrag - INFO - get_edge:query: - MATCH (start:`THE CRATCHIT HOUSE`)-[r]->(end:`THE DEBT`) - RETURN properties(r) as edge_properties - LIMIT 1 - :result:{'keywords': '"financial burden, atmosphere"', 'weight': 18.0, 'description': '"The Debt looms over The Cratchit House, contributing to the emotional atmosphere and fears of its inhabitants during the story."', 'source_id': 'chunk-83ac129dc9b56f84c46760d153d68e93'} -2024-10-30 06:53:34,693 - lightrag - INFO - get_edge:query: - MATCH (start:`JOE`)-[r]->(end:`THE WOMAN`) - RETURN properties(r) as edge_properties - LIMIT 1 - :result:{'keywords': '"conversational dynamics, materialism""dialogue, humor, death""humor, interaction""social interaction, community dynamics"', 'weight': 23.0, 'description': '"Joe and The Woman are engaged in a discussion about the deceased man’s belongings, illustrating their shared perspective on material possessions.""Joe and The Woman engage in a conversation, highlighting community dynamics and common social interactions among friends or acquaintances.""Joe and The Woman engage in dialogue about the deceased\'s belongings, showcasing their interactions and differing attitudes towards death.""Joe and The Woman share a humorous exchange about the bed-curtains, reflecting the jovial spirit of the gathering."', 'source_id': 'chunk-e1f29eeadc1d8ab46dc8a0bbd3c56b64chunk-89777b838d5447c7bd1ec11282c4ee89'} -2024-10-30 06:53:34,787 - lightrag - INFO - get_edge:query: - MATCH (start:`CHRISTMAS HOLIDAYS`)-[r]->(end:`SCROOGE`) - RETURN properties(r) as edge_properties - LIMIT 1 - :result:{'keywords': '"transformation, significance of time"', 'weight': 16.0, 'description': '"Christmas Holidays are integral to Scrooge\'s journey, representing the time of year that prompts his change and reinstates joy."', 'source_id': 'chunk-e7637ff18c5ded77a68cce0a87883fad'} -2024-10-30 06:53:34,881 - lightrag - INFO - get_edge:query: - MATCH (start:`SCROOGE`)-[r]->(end:`THE GOLDEN IDOL`) - RETURN properties(r) as edge_properties - LIMIT 1 - :result:{'keywords': '"materialism, lost connections"', 'weight': 20.0, 'description': '"The Golden Idol represents the materialistic pursuits that have displaced meaningful connections in Scrooge\'s life."', 'source_id': 'chunk-b2f98bc7abb0c67d4c86055c7fd72218'} -2024-10-30 06:53:34,974 - lightrag - INFO - get_edge:query: - MATCH (start:`OLD SCRATCH`)-[r]->(end:`THE FUNERAL`) - RETURN properties(r) as edge_properties - LIMIT 1 - :result:{'keywords': '"morbid humor, societal views"', 'weight': 14.0, 'description': '"The concept of Old Scratch is invoked in the context of discussions about The Funeral, highlighting societal attitudes towards death."', 'source_id': 'chunk-f1a4fbcf1ed86864b9bfd5e8dba4c683'} -2024-10-30 06:53:35,071 - lightrag - INFO - get_edge:query: - MATCH (start:`MARLEY'S FUNERAL`)-[r]->(end:`SCROOGE`) - RETURN properties(r) as edge_properties - LIMIT 1 - :result:{'keywords': '"loss, character journey"', 'weight': 18.0, 'description': '"Marley\'s Funeral signifies the beginning of Scrooge\'s emotional journey, showcasing his reaction to loss and setting the stage for the narrative."', 'source_id': 'chunk-89777b838d5447c7bd1ec11282c4ee89'} -2024-10-30 06:53:35,236 - lightrag - INFO - get_edge:query: - MATCH (start:`SCROOGE`)-[r]->(end:`THE OBSCURE PART OF TOWN`) - RETURN properties(r) as edge_properties - LIMIT 1 - :result:{'keywords': '"confrontation, societal reflection"', 'weight': 9.0, 'description': '"Scrooge\'s journey leads him to the Obscure Part of Town, representing his confrontation with the darker aspects of life and society."', 'source_id': 'chunk-f1a4fbcf1ed86864b9bfd5e8dba4c683'} -2024-10-30 06:53:35,331 - lightrag - INFO - get_edge:query: - MATCH (start:`BOB CRATCHIT`)-[r]->(end:`THE GATHERING`) - RETURN properties(r) as edge_properties - LIMIT 1 - :result:{'keywords': '"family commitment, celebration"', 'weight': 16.0, 'description': '"Bob Cratchit leads his family in the Christmas Gathering, showcasing their love and commitment to celebrating together despite worries."', 'source_id': 'chunk-19d72c57ae3408758b18d2568e86dc6b'} -2024-10-30 06:53:35,428 - lightrag - INFO - get_edge:query: - MATCH (start:`CHRISTMAS PUDDING`)-[r]->(end:`CRATCHIT FAMILY`) - RETURN properties(r) as edge_properties - LIMIT 1 - :result:{'keywords': '"family unity, celebration"', 'weight': 10.0, 'description': '"The Cratchit Family gathers around to enjoy the Christmas Pudding, demonstrating their togetherness and festive spirit."', 'source_id': 'chunk-503f0bfa5453467c7c61d160a3540eca'} -2024-10-30 06:53:35,525 - lightrag - INFO - get_edge:query: - MATCH (start:`OLD SCROOGE`)-[r]->(end:`SCROOGE`) - RETURN properties(r) as edge_properties - LIMIT 1 - :result:{'keywords': '"character history, development"', 'weight': 14.0, 'description': '"Scrooge\'s history is revealed through the mention of Old Scrooge, indicating his past beliefs and practices that shape his current persona."', 'source_id': 'chunk-89777b838d5447c7bd1ec11282c4ee89'} -2024-10-30 06:53:35,617 - lightrag - INFO - get_edge:query: - MATCH (start:`SCROOGE`)-[r]->(end:`THE DARKNESS`) - RETURN properties(r) as edge_properties - LIMIT 1 - :result:{'keywords': '"internal struggle, unknown"', 'weight': 12.0, 'description': '"Scrooge finds himself enveloped by The Darkness, representing his internal struggle and the unknown future he faces."', 'source_id': 'chunk-cb661c37436355ccec2769b1d0350c5f'} -2024-10-30 06:53:35,711 - lightrag - INFO - get_edge:query: - MATCH (start:`BOB CRATCHIT`)-[r]->(end:`CAROLINE`) - RETURN properties(r) as edge_properties - LIMIT 1 - :result:{'keywords': '"hope, financial strain""marital struggle, economic challenges"', 'weight': 14.0, 'description': '"Caroline and Bob Cratchit represent a married couple grappling with the implications of financial stress and loss in their family.""Caroline expresses hope combined with anxiety regarding their financial situation, affecting her relationship with Bob Cratchit."', 'source_id': 'chunk-83ac129dc9b56f84c46760d153d68e93'} -2024-10-30 06:53:35,803 - lightrag - INFO - get_edge:query: - MATCH (start:`CHESTNUTS`)-[r]->(end:`CHRISTMAS`) - RETURN properties(r) as edge_properties - LIMIT 1 - :result:{'keywords': '"festive foods, sensory experiences"', 'weight': 8.0, 'description': '"Chestnuts are sold during Christmas, contributing to the sensory experience of the holiday."', 'source_id': 'chunk-99b0ec7f7e006561352b5d65e849611d'} -2024-10-30 06:53:35,902 - lightrag - INFO - get_edge:query: - MATCH (start:`THE LOW-BROWED SHOP`)-[r]->(end:`THE TOWN`) - RETURN properties(r) as edge_properties - LIMIT 1 - :result:{'keywords': '"socioeconomic issues, decay"', 'weight': 14.0, 'description': '"The Low-Browed Shop exists within The Town, reflecting its degradation and the poor conditions of its inhabitants."', 'source_id': 'chunk-f1a4fbcf1ed86864b9bfd5e8dba4c683'} -2024-10-30 06:53:35,996 - lightrag - INFO - get_edge:query: - MATCH (start:`SCROOGE`)-[r]->(end:`THE OLD GENTLEMAN`) - RETURN properties(r) as edge_properties - LIMIT 1 - :result:{'keywords': '"kindness, transformation"', 'weight': 18.0, 'description': '"Scrooge shows kindness and generosity to The Old Gentleman, marking a significant change in his character and relationships."', 'source_id': 'chunk-8f738cb25d60a7dab782162d9d0a25ed'} -2024-10-30 06:53:36,090 - lightrag - INFO - get_edge:query: - MATCH (start:`HOME`)-[r]->(end:`THE MOTHER`) - RETURN properties(r) as edge_properties - LIMIT 1 - :result:{'keywords': '"family unity, celebration"', 'weight': 18.0, 'description': '"Home is where The Mother organizes the family Christmas celebration, serving as the heart of their togetherness."', 'source_id': 'chunk-da2472b4ef2a535b62908f14d0fb0ca9'} -2024-10-30 06:53:36,183 - lightrag - INFO - get_edge:query: - MATCH (start:`SCROOGE`)-[r]->(end:`THE BED`) - RETURN properties(r) as edge_properties - LIMIT 1 - :result:{'keywords': '"contemplation, mortality"', 'weight': 9.0, 'description': '"Scrooge observes The Bed where The Deceased lies, prompting profound thoughts on mortality and regret."', 'source_id': 'chunk-e1f29eeadc1d8ab46dc8a0bbd3c56b64'} -2024-10-30 06:53:36,276 - lightrag - INFO - get_edge:query: - MATCH (start:`SCROOGE`)-[r]->(end:`THE DRESSING-GOWN`) - RETURN properties(r) as edge_properties - LIMIT 1 - :result:{'keywords': '"characterization, solitude"', 'weight': 7.0, 'description': '"The Dressing-Gown emphasizes Scrooge\'s character as a solitary, reclusive man, reinforcing his isolation during the haunting."', 'source_id': 'chunk-9c43dac2fcd5b578242d907ea6f8fc7b'} -2024-10-30 06:53:36,372 - lightrag - INFO - get_edge:query: - MATCH (start:`SCROOGE`)-[r]->(end:`SUNDAY CLOTHES BOY`) - RETURN properties(r) as edge_properties - LIMIT 1 - :result:{'keywords': '"kindness, generosity"', 'weight': 7.0, 'description': '"Scrooge\'s interaction with the Sunday Clothes Boy highlights his evolving attitude towards generosity and kindness."', 'source_id': 'chunk-90b95db5c53e4364a6bee36b7aa4d70f'} -2024-10-30 06:53:36,466 - lightrag - INFO - get_edge:query: - MATCH (start:`SCROOGE`)-[r]->(end:`THE YARD`) - RETURN properties(r) as edge_properties - LIMIT 1 - :result:{'keywords': '"isolation, emotional landscape"', 'weight': 16.0, 'description': '"The Yard represents the isolation in Scrooge\'s life, physically and metaphorically reflecting his emotional state."', 'source_id': 'chunk-d9aac3484185ac66045df92214d245d5'} -2024-10-30 06:53:36,563 - lightrag - INFO - get_edge:query: - MATCH (start:`CHRISTMAS EVE`)-[r]->(end:`SCROOGE`) - RETURN properties(r) as edge_properties - LIMIT 1 - :result:{'keywords': '"holiday spirit, character development"', 'weight': 16.0, 'description': '"Scrooge\'s actions and attitudes towards Christmas Eve highlight his disdain for traditional celebrations, setting the tone for his character arc."', 'source_id': 'chunk-d9aac3484185ac66045df92214d245d5'} -2024-10-30 06:53:36,656 - lightrag - INFO - get_edge:query: - MATCH (start:`COLD WEATHER`)-[r]->(end:`SCROOGE`) - RETURN properties(r) as edge_properties - LIMIT 1 - :result:{'keywords': '"atmosphere, personality mirror"', 'weight': 18.0, 'description': '"The cold weather reflects Scrooge\'s icy demeanor, emphasizing his negative attitude towards life and others."', 'source_id': 'chunk-74e2466de2f67fd710ef2f20c0a8d9e0'} -2024-10-30 06:53:36,750 - lightrag - INFO - get_edge:query: - MATCH (start:`MARLEY`)-[r]->(end:`SCROOGE`) - RETURN properties(r) as edge_properties - LIMIT 1 - :result:{'keywords': '"ghostly encounter, transformation""mourning, partnership""partnership, regret""past influence, personal history""past influence, regret""redemption, confrontation""reflection, theme of regret""supernatural connection, past relationships"', 'weight': 65.0, 'description': '"Marley’s influence and past relationship with Scrooge is indicated, suggesting a connection that impacts Scrooge\'s character growth.""Scrooge is deeply affected by Marley\'s death, illustrated through his role as the sole executor and mourner of Marley.""Scrooge reflects on Marley, revealing his past connection and the haunting aspect of Marley\'s death, which influences Scrooge\'s character arc.""Scrooge\'s encounter with Marley’s Ghost serves as a confrontation with his past self and the life choices he regrets, depicting the theme of redemption.""Scrooge and Marley were business partners, and Marley\'s death greatly impacts Scrooge, highlighting themes of loss and regret.""Scrooge encounters Marley’s ghost, which challenges his beliefs and signifies the start of his transformation.""Scrooge reflects on Marley\'s death, indicating the profound effect it had on his life, shaping his current perspective on generosity and the holidays.""Scrooge\'s reflection on Marley underscores the theme of regret and the potential for change in his character\'s journey."', 'source_id': 'chunk-5dac41b3f9eeaf794f0147400b1718cdchunk-89777b838d5447c7bd1ec11282c4ee89chunk-d9aac3484185ac66045df92214d245d5chunk-9c43dac2fcd5b578242d907ea6f8fc7bchunk-843b5b2f944c7413d9ca876e2e2f151f'} -2024-10-30 06:53:36,848 - lightrag - INFO - get_edge:query: - MATCH (start:`FRED`)-[r]->(end:`SCROOGE`) - RETURN properties(r) as edge_properties - LIMIT 1 - :result:{'keywords': '"family connection, goodwill""family connection, reconciliation""family ties, contrast""family ties, redemption""family, contrast""family, reconciliatory""family, rekindled relationships""family, transformation""rejection, familial dynamics"', 'weight': 66.0, 'description': '"Fred attempts to reach out to Scrooge for family connections, representing the warmth of familial love against Scrooge\'s coldness.""Fred expresses admiration and gratitude for Scrooge, highlighting the family connection and the hope for Scrooge\'s redemption.""Fred\'s joyful and loving nature in contrast to Scrooge\'s bitterness illustrates the theme of familial love versus isolation.""Scrooge and Fred share a familial bond, with Fred expressing goodwill and celebrating Scrooge despite his uncle\'s previous behavior.""Scrooge expresses a desire to visit Fred, which signifies a reconciliatory gesture toward his family.""Scrooge surprises Fred with his unexpected visit, indicating a shift in their familial relationship and Scrooge\'s attitude toward family.""Scrooge\'s interaction with Fred emphasizes his rejection of familial warmth during the Christmas season.""Scrooge visits his nephew Fred, demonstrating the rekindling of family ties and the spirit of Christmas.""Scrooge\'s visit to Fred signifies a reconnection with family and a shift towards embracing Christmas spirit."', 'source_id': 'chunk-89777b838d5447c7bd1ec11282c4ee89chunk-e7637ff18c5ded77a68cce0a87883fadchunk-9e3921da66da5d761ab73cd849af6c43chunk-94bea83e7153fc2064aa382b494936a1chunk-8f738cb25d60a7dab782162d9d0a25ed'} -2024-10-30 06:53:36,944 - lightrag - INFO - get_edge:query: - MATCH (start:`SCROOGE`)-[r]->(end:`SCROOGE'S NEPHEW`) - RETURN properties(r) as edge_properties - LIMIT 1 - :result:{'keywords': '"family conflict, contrasting views""family conflict, differing perspectives""family dynamics, contrast""family dynamics, contrasting views""family dynamics, holiday spirit""family dynamics, opposing views""family, festive spirit"', 'weight': 56.0, 'description': '"Scrooge and his nephew engage in a verbal exchange where the nephew represents joy and celebration, contrasting with Scrooge\'s cynicism and disdain.""Scrooge\'s Nephew attempts to encourage Scrooge to embrace Christmas and reconcile despite Scrooge\'s insistence on maintaining his disdain.""Scrooge\'s Nephew contrasts with Scrooge, advocating for merriment and showing pity for his uncle\'s ill tempers.""Scrooge\'s Nephew tries to cheer Scrooge up and promote the joy of Christmas, but is met with rejection and negativity.""Scrooge\'s Nephew tries to convince Scrooge of the joys of Christmas, illustrating the conflict between their differing views on the holiday.""Scrooge\'s Nephew often expresses pity for Scrooge, believing that Scrooge loses more by avoiding family gatherings and Christmas cheer.""Scrooge\'s relationship with his nephew highlights the contrast between their different views on Christmas and joy."', 'source_id': 'chunk-91614df5cb74cbe5e109a338a82041e9chunk-773d0df1dd25c356f7b771d780583e09chunk-5dac41b3f9eeaf794f0147400b1718cdchunk-74e2466de2f67fd710ef2f20c0a8d9e0'} -2024-10-30 06:53:37,039 - lightrag - INFO - get_edge:query: - MATCH (start:`GHOST OF CHRISTMAS YET TO COME`)-[r]->(end:`SPIRIT`) - RETURN properties(r) as edge_properties - LIMIT 1 - :result:{'keywords': '"foreshadowing, guidance"', 'weight': 7.0, 'description': '"The Spirit is connected to the Ghost of Christmas Yet to Come as both serve to illustrate potential future outcomes for Scrooge."', 'source_id': 'chunk-02baee20cc9463dbe08170a8e1043e32'} -2024-10-30 06:53:37,132 - lightrag - INFO - get_edge:query: - MATCH (start:`MISERY'S REFUGE`)-[r]->(end:`SPIRIT`) - RETURN properties(r) as edge_properties - LIMIT 1 - :result:{'keywords': '"social awareness, empathy"', 'weight': 10.0, 'description': '"The Spirit\'s presence in Misery\'s Refuge underscores the necessity for societal compassion during difficult times."', 'source_id': 'chunk-e7637ff18c5ded77a68cce0a87883fad'} -2024-10-30 06:53:37,227 - lightrag - INFO - get_edge:query: - MATCH (start:`SCROOGE`)-[r]->(end:`THE CHURCH`) - RETURN properties(r) as edge_properties - LIMIT 1 - :result:{'keywords': '"community, spirituality"', 'weight': 9.0, 'description': '"Scrooge\'s visit to The Church reflects his desire to embrace the spirit of Christmas and community engagement."', 'source_id': 'chunk-8f738cb25d60a7dab782162d9d0a25ed'} -2024-10-30 06:53:37,321 - lightrag - INFO - get_edge:query: - MATCH (start:`CHRISTMAS`)-[r]->(end:`PEARS`) - RETURN properties(r) as edge_properties - LIMIT 1 - :result:{'keywords': '"seasonal offerings, tradition"', 'weight': 6.0, 'description': '"Pears are part of the fruits offered during the Christmas season, enhancing festive markets."', 'source_id': 'chunk-99b0ec7f7e006561352b5d65e849611d'} -2024-10-30 06:53:37,416 - lightrag - INFO - get_edge:query: - MATCH (start:`THE FATHER`)-[r]->(end:`THE MOTHER`) - RETURN properties(r) as edge_properties - LIMIT 1 - :result:{'keywords': '"family bond, love""family dynamics, togetherness"', 'weight': 14.0, 'description': '"The Father and The Mother share a loving relationship, supporting each other during the festivities and caring for their family.""The Mother and Father are depicted together, emphasizing family dynamics during the festive occasion."', 'source_id': 'chunk-da2472b4ef2a535b62908f14d0fb0ca9'} -2024-10-30 06:53:37,511 - lightrag - INFO - get_edge:query: - MATCH (start:`SCROOGE`)-[r]->(end:`THE PEOPLE`) - RETURN properties(r) as edge_properties - LIMIT 1 - :result:{'keywords': '"community, joy"', 'weight': 8.0, 'description': '"Scrooge greets The People he encounters with joy and a newfound delight, signaling his welcome transformation."', 'source_id': 'chunk-8f738cb25d60a7dab782162d9d0a25ed'} -2024-10-30 06:53:37,599 - lightrag - INFO - get_edge:query: - MATCH (start:`CRATCHIT FAMILY`)-[r]->(end:`SCROOGE`) - RETURN properties(r) as edge_properties - LIMIT 1 - :result:{'keywords': '"compassion, social awareness"', 'weight': 7.0, 'description': '"Scrooge\'s reflections on the Cratchit family\'s situation symbolize his evolving understanding of compassion and social responsibility."', 'source_id': 'chunk-83ac129dc9b56f84c46760d153d68e93'} -2024-10-30 06:53:37,693 - lightrag - INFO - get_edge:query: - MATCH (start:`CRATCHIT FAMILY`)-[r]->(end:`MRS. CRATCHIT`) - RETURN properties(r) as edge_properties - LIMIT 1 - :result:{'keywords': '"nurturing, familial care"', 'weight': 9.0, 'description': '"Mrs. Cratchit plays a significant role in nurturing the family atmosphere during Christmas by preparing and caring for everyone."', 'source_id': 'chunk-7e2e7ebcc19a53b399dc03aded4743e7'} -2024-10-30 06:53:37,786 - lightrag - INFO - get_edge:query: - MATCH (start:`CHRISTMAS-TIME`)-[r]->(end:`THE PHANTOM`) - RETURN properties(r) as edge_properties - LIMIT 1 - :result:{'keywords': '"supernatural influence, time of reflection"', 'weight': 8.0, 'description': '"The Phantom\'s visits coincide with Christmas time, a time symbolizing reflection, redemption, and moral awakening."', 'source_id': 'chunk-f1a4fbcf1ed86864b9bfd5e8dba4c683'} -2024-10-30 06:53:37,880 - lightrag - INFO - get_edge:query: - MATCH (start:`CHRISTMAS`)-[r]->(end:`GREAT BRITAIN`) - RETURN properties(r) as edge_properties - LIMIT 1 - :result:{'keywords': '"celebration, societal mood""cultural context, celebration"', 'weight': 14.0, 'description': '"Christmas takes place within Great Britain, influencing the cultural depiction of the holiday and the activities that occur.")"The celebration of Christmas brings a cheerful atmosphere to Great Britain despite the gloomy weather conditions."', 'source_id': 'chunk-99b0ec7f7e006561352b5d65e849611d'} -2024-10-30 06:53:37,973 - lightrag - INFO - get_edge:query: - MATCH (start:`GHOST OF CHRISTMAS YET TO COME`)-[r]->(end:`SCROOGE`) - RETURN properties(r) as edge_properties - LIMIT 1 - :result:{'keywords': '"forewarning, change""future consequences, redemption"', 'weight': 38.0, 'description': '"The Ghost of Christmas Yet to Come presents a foreboding vision of Scrooge\'s future, driving home the need for personal change.""The Ghost of Christmas Yet to Come presents a foreboding vision of Scrooge\'s future, driving home the need for personal change.""The Ghost shows Scrooge visions of the future, challenging him to change his ways to avoid a grim destiny.""The Ghost shows Scrooge visions of the future, challenging him to change his ways to avoid a grim destiny."', 'source_id': 'chunk-02baee20cc9463dbe08170a8e1043e32chunk-9e3921da66da5d761ab73cd849af6c43'} -2024-10-30 06:53:38,068 - lightrag - INFO - get_edge:query: - MATCH (start:`CHRISTMAS`)-[r]->(end:`HOLLY`) - RETURN properties(r) as edge_properties - LIMIT 1 - :result:{'keywords': '"festive decorations, holiday spirit"', 'weight': 8.0, 'description': '"Holly contributes to the festive decorations associated with the Christmas celebration."', 'source_id': 'chunk-99b0ec7f7e006561352b5d65e849611d'} -2024-10-30 06:53:38,163 - lightrag - INFO - get_edge:query: - MATCH (start:`SCROOGE`)-[r]->(end:`SHADOW OF HIMSELF`) - RETURN properties(r) as edge_properties - LIMIT 1 - :result:{'keywords': '"introspection, personal growth"', 'weight': 9.0, 'description': '"Scrooge hopes to learn from the Shadow of Himself, signifying his desire for personal growth and understanding of his life choices."', 'source_id': 'chunk-f1a4fbcf1ed86864b9bfd5e8dba4c683'} -2024-10-30 06:53:38,259 - lightrag - INFO - get_edge:query: - MATCH (start:`SCROOGE`)-[r]->(end:`THE CLERK`) - RETURN properties(r) as edge_properties - LIMIT 1 - :result:{'keywords': '"contrast in attitudes, workplace dynamics""unfair treatment, workplace dynamics"', 'weight': 13.0, 'description': '"Scrooge\'s treatment of the Clerk highlights his miserly and cruel nature, contributing to an oppressive work environment.""The Clerk represents the festive spirit of Christmas that Scrooge dismisses, showcasing Scrooge\'s coldness."', 'source_id': 'chunk-74e2466de2f67fd710ef2f20c0a8d9e0chunk-5dac41b3f9eeaf794f0147400b1718cd'} -2024-10-30 06:53:38,355 - lightrag - INFO - get_edge:query: - MATCH (start:`SCROOGE`)-[r]->(end:`THE GHOST OF JACOB MARLEY`) - RETURN properties(r) as edge_properties - LIMIT 1 - :result:{'keywords': '"transformation, warning"', 'weight': 10.0, 'description': '"Scrooge\'s encounter with the Ghost of Jacob Marley initiates his journey of self-reflection and realization."', 'source_id': 'chunk-90b95db5c53e4364a6bee36b7aa4d70f'} -2024-10-30 06:53:38,448 - lightrag - INFO - get_edge:query: - MATCH (start:`CHRISTMAS`)-[r]->(end:`GEESE`) - RETURN properties(r) as edge_properties - LIMIT 1 - :result:{'keywords': '"culinary tradition, celebration"', 'weight': 9.0, 'description': '"Geese are commonly served at Christmas dinners, forming part of the holiday feast."', 'source_id': 'chunk-99b0ec7f7e006561352b5d65e849611d'} -2024-10-30 06:53:38,544 - lightrag - INFO - get_edge:query: - MATCH (start:`SCROOGE`)-[r]->(end:`THE MAIN STREET`) - RETURN properties(r) as edge_properties - LIMIT 1 - :result:{'keywords': '"social dynamics, personal struggle"', 'weight': 6.0, 'description': '"Scrooge\'s experiences on The Main Street during Christmas time reflect his discontent with the surrounding joy and celebrations."', 'source_id': 'chunk-90d5764e301321c087f5a8f78b73a145'} -2024-10-30 06:53:38,634 - lightrag - INFO - get_edge:query: - MATCH (start:`SCROOGE`)-[r]->(end:`VALENTINE`) - RETURN properties(r) as edge_properties - LIMIT 1 - :result:{'keywords': '"childhood, sentiment""family memories, nostalgia"', 'weight': 12.0, 'description': '"Scrooge\'s memory of Valentine and Orson illustrates the childhood connections that shape his sentiments during Christmas.""Scrooge\'s mention of Valentine signifies his memories of familial ties and childhood experiences during Christmas."', 'source_id': 'chunk-8590d9263cd2cd4fa583c432fc54e6c3'} -2024-10-30 06:53:38,725 - lightrag - INFO - get_edge:query: - MATCH (start:`SCROOGE`)-[r]->(end:`THE GHOST OF CHRISTMAS FUTURE`) - RETURN properties(r) as edge_properties - LIMIT 1 - :result:{'keywords': '"consequences, transformation"', 'weight': 8.0, 'description': '"The Ghost of Christmas Future reveals the dire consequences of Scrooge\'s current behavior, prompting a desire for change."', 'source_id': 'chunk-90b95db5c53e4364a6bee36b7aa4d70f'} -2024-10-30 06:53:38,817 - lightrag - INFO - get_edge:query: - MATCH (start:`SCROOGE`)-[r]->(end:`TWELFTH-NIGHT PARTY`) - RETURN properties(r) as edge_properties - LIMIT 1 - :result:{'keywords': '"celebration, contrast"', 'weight': 8.0, 'description': '"The Twelfth-Night Party serves as a representation of festive joy that contrasts with Scrooge\'s initial isolation."', 'source_id': 'chunk-e7637ff18c5ded77a68cce0a87883fad'} -2024-10-30 06:53:38,910 - lightrag - INFO - get_edge:query: - MATCH (start:`THE CRATCHIT FAMILY`)-[r]->(end:`THE DINNER`) - RETURN properties(r) as edge_properties - LIMIT 1 - :result:{'keywords': '"family unity, celebration"', 'weight': 20.0, 'description': '"The Cratchit Family comes together for The Dinner, showcasing their unity and holiday spirit, despite their modest means."', 'source_id': 'chunk-503f0bfa5453467c7c61d160a3540eca'} -2024-10-30 06:53:39,005 - lightrag - INFO - get_edge:query: - MATCH (start:`BOB CRATCHIT`)-[r]->(end:`THE COUNTING-HOUSE`) - RETURN properties(r) as edge_properties - LIMIT 1 - :result:{'keywords': '"employment, servitude"', 'weight': 6.0, 'description': '"Bob Cratchit works at The Counting-House, emphasizing his servitude and the dismal working conditions under Scrooge."', 'source_id': 'chunk-d9aac3484185ac66045df92214d245d5'} -2024-10-30 06:53:39,099 - lightrag - INFO - get_edge:query: - MATCH (start:`DEATH`)-[r]->(end:`THE BED`) - RETURN properties(r) as edge_properties - LIMIT 1 - :result:{'keywords': '"finality, mortality"', 'weight': 16.0, 'description': '"Death is inherently linked to The Bed as the resting place of the deceased, symbolizing the finality of life and the legacy left behind."', 'source_id': 'chunk-e1f29eeadc1d8ab46dc8a0bbd3c56b64'} -2024-10-30 06:53:39,195 - lightrag - INFO - get_edge:query: - MATCH (start:`CITY`)-[r]->(end:`SPIRIT`) - RETURN properties(r) as edge_properties - LIMIT 1 - :result:{'keywords': '"atmospheric change, reality"', 'weight': 12.0, 'description': '"The Spirit’s presence affects the atmosphere of the City, showcasing the stark realities of life and death surrounding Scrooge."', 'source_id': 'chunk-02baee20cc9463dbe08170a8e1043e32'} -2024-10-30 06:53:39,287 - lightrag - INFO - get_edge:query: - MATCH (start:`CHRISTMAS FEAST`)-[r]->(end:`CRATCHIT FAMILY`) - RETURN properties(r) as edge_properties - LIMIT 1 - :result:{'keywords': '"family gathering, significance"', 'weight': 9.0, 'description': '"The Christmas Feast is a pivotal event for the Cratchit Family where they express their feelings and celebrate together."', 'source_id': 'chunk-19d72c57ae3408758b18d2568e86dc6b'} -2024-10-30 06:53:39,383 - lightrag - INFO - get_edge:query: - MATCH (start:`CRATCHIT FAMILY`)-[r]->(end:`MARTHA`) - RETURN properties(r) as edge_properties - LIMIT 1 - :result:{'keywords': '"family interaction, celebration"', 'weight': 7.0, 'description': '"Martha contributes to the family dynamic during their Christmas gathering by sharing her experiences and adding to the festive atmosphere."', 'source_id': 'chunk-19d72c57ae3408758b18d2568e86dc6b'} -2024-10-30 06:53:39,485 - lightrag - INFO - get_edge:query: - MATCH (start:`SCROOGE`)-[r]->(end:`THE BUSINESSMEN`) - RETURN properties(r) as edge_properties - LIMIT 1 - :result:{'keywords': '"societal apathy, lack of empathy"', 'weight': 8.0, 'description': '"Scrooge’s death is discussed among the Businessmen, who show a lack of concern, exemplifying the indifference of society."', 'source_id': 'chunk-02baee20cc9463dbe08170a8e1043e32'} -2024-10-30 06:53:39,577 - lightrag - INFO - get_edge:query: - MATCH (start:`SCROOGE`)-[r]->(end:`THE GENTLEMAN`) - RETURN properties(r) as edge_properties - LIMIT 1 - :result:{'keywords': '"charity, conflict of values""charity, social responsibility"', 'weight': 16.0, 'description': '"Scrooge and The Gentleman have opposing views on charity and helping the poor during Christmas, showing a stark contrast in values.""Scrooge and the Gentleman engage in a discussion about the responsibilities to the poor, underlining Scrooge\'s disdain for charitable contributions."', 'source_id': 'chunk-90d5764e301321c087f5a8f78b73a145'} -2024-10-30 06:53:39,671 - lightrag - INFO - get_edge:query: - MATCH (start:`JACOB MARLEY`)-[r]->(end:`THE GHOST`) - RETURN properties(r) as edge_properties - LIMIT 1 - :result:{'keywords': '"spectral representation, message delivery""spiritual guidance, past connections"', 'weight': 18.0, 'description': '"Jacob Marley is embodied by The Ghost, which serves to relay messages about regret and the imperative of kindness to Scrooge.""The Ghost is the spectral form of Jacob Marley, representing his ongoing existence and his desire to communicate a warning to Scrooge."', 'source_id': 'chunk-1aa50206d02ed89418f65f97c6441d1cchunk-359187e7571bda4b0b08b2e0b6581e52'} -2024-10-30 06:53:39,764 - lightrag - INFO - get_edge:query: - MATCH (start:`MASTER SCROOGE`)-[r]->(end:`SCROOGE`) - RETURN properties(r) as edge_properties - LIMIT 1 - :result:{'keywords': '"nostalgia, identity"', 'weight': 9.0, 'description': '"The young Master Scrooge represents Scrooge\'s earlier aspirations and innocence, contrasting with his current self."', 'source_id': 'chunk-c6c248858d1b13ab7ee9ca13c1aeed6b'} -2024-10-30 06:53:39,859 - lightrag - INFO - get_edge:query: - MATCH (start:`MANSION`)-[r]->(end:`SCROOGE`) - RETURN properties(r) as edge_properties - LIMIT 1 - :result:{'keywords': '"symbolism, emotional state"', 'weight': 16.0, 'description': '"The Mansion symbolizes the neglect and decay that parallels Scrooge\'s own emotional state and memories of his past."', 'source_id': 'chunk-8590d9263cd2cd4fa583c432fc54e6c3'} -2024-10-30 06:53:39,955 - lightrag - INFO - get_edge:query: - MATCH (start:`CHRISTMAS`)-[r]->(end:`FRENCH PLUMS`) - RETURN properties(r) as edge_properties - LIMIT 1 - :result:{'keywords': '"seasonal offerings, festive foods"', 'weight': 6.0, 'description': '"French Plums are included in the festive offerings, creating a rich holiday atmosphere."', 'source_id': 'chunk-99b0ec7f7e006561352b5d65e849611d'} -2024-10-30 06:53:40,051 - lightrag - INFO - get_edge:query: - MATCH (start:`CHRISTMAS`)-[r]->(end:`FIGS`) - RETURN properties(r) as edge_properties - LIMIT 1 - :result:{'keywords': '"seasonal offerings, festive foods"', 'weight': 6.0, 'description': '"Figs are highlighted among the festive foods offered during Christmas, enhancing markets."', 'source_id': 'chunk-99b0ec7f7e006561352b5d65e849611d'} -2024-10-30 06:53:40,148 - lightrag - INFO - get_edge:query: - MATCH (start:`BOB CRATCHIT`)-[r]->(end:`SCROOGE`) - RETURN properties(r) as edge_properties - LIMIT 1 - :result:{'keywords': '"charity, employer-employee relationship""employer-employee dynamics, family values""employer-employee relationship, contrasting values""employment, generosity""employment, power dynamic""employment, social reflection""family dynamics, acknowledgment""generosity, relationship change""generosity, transformation""gratitude, redemption"', 'weight': 69.0, 'description': '"Bob Cratchit discusses Scrooge during Christmas, highlighting the tension between duty towards family and feelings about his employer.""Bob Cratchit tries to maintain a positive atmosphere during the Christmas feast despite the negative association with Scrooge.""Bob praises Scrooge as \'The Founder of the Feast\', showing appreciation despite Scrooge’s previous miserliness.""Scrooge decides to send a turkey to Bob Cratchit, indicating a newfound kindness towards him and his family.""Scrooge is Bob Cratchit\'s employer, and he reflects on the challenges Bob faces regarding family and food on Christmas Day.".""Scrooge is the employer of Bob Cratchit, demonstrating a power dynamic characterized by Scrooge\'s harsh treatment and Bob\'s subservient role.""Scrooge reprimands Bob for arriving late, but ultimately decides to raise his salary, signaling a significant change in their employer-employee relationship.""Scrooge expresses a form of goodwill towards Bob Cratchit by sending a prize turkey, indicating a shift in their relationship.""Scrooge is Bob Cratchit\'s employer, representing a stark divide between their characters, with Scrooge\'s miserly nature contrasting with Bob\'s kindness.""Scrooge\'s transformation leads him to raise Bob\'s salary and assist his struggling family, showing an improvement in their employer-employee relationship."', 'source_id': 'chunk-90b95db5c53e4364a6bee36b7aa4d70fchunk-b0f459f5af1c3a5e0b92cbe4ee48b77bchunk-d9aac3484185ac66045df92214d245d5chunk-19d72c57ae3408758b18d2568e86dc6bchunk-503f0bfa5453467c7c61d160a3540ecachunk-94bea83e7153fc2064aa382b494936a1'} -2024-10-30 06:53:40,245 - lightrag - INFO - get_edge:query: - MATCH (start:`BRIDGE`)-[r]->(end:`SCROOGE`) - RETURN properties(r) as edge_properties - LIMIT 1 - :result:{'keywords': '"memory, landmark"', 'weight': 14.0, 'description': '"The bridge serves as a significant landmark in Scrooge\'s past, reminding him of his childhood and former happiness."', 'source_id': 'chunk-bb21d58d36c6306fd8810ddd51c4a971'} -2024-10-30 06:53:40,335 - lightrag - INFO - get_edge:query: - MATCH (start:`SCROOGE`)-[r]->(end:`THE BEAUTIFUL YOUNG GIRL`) - RETURN properties(r) as edge_properties - LIMIT 1 - :result:{'keywords': '"nostalgia, lost love"', 'weight': 16.0, 'description': '"Scrooge reflects on his past relationship with the young girl, which holds significance in understanding his character\'s regrets."', 'source_id': 'chunk-54bdd22db1f84a965b5f4c06c9216d8d'} -2024-10-30 06:53:40,427 - lightrag - INFO - get_edge:query: - MATCH (start:`MRS. CRATCHIT`)-[r]->(end:`TINY TIM`) - RETURN properties(r) as edge_properties - LIMIT 1 - :result:{'keywords': '"maternal love, support"', 'weight': 9.0, 'description': '"Mrs. Cratchit shows concern for Tiny Tim\'s health and well-being, reflecting her role as a nurturing mother."', 'source_id': 'chunk-1d4b58de5429cd1261370c231c8673e8'} -2024-10-30 06:53:40,520 - lightrag - INFO - get_edge:query: - MATCH (start:`MARTHA`)-[r]->(end:`TINY TIM`) - RETURN properties(r) as edge_properties - LIMIT 1 - :result:{'keywords': '"family ties, support"', 'weight': 5.0, 'description': '"Martha\'s presence and conversation at the gathering impacts Tiny Tim\'s experience and highlights family connections during Christmas."', 'source_id': 'chunk-19d72c57ae3408758b18d2568e86dc6b'} -2024-10-30 06:53:40,613 - lightrag - INFO - get_edge:query: - MATCH (start:`BOB CRATCHIT`)-[r]->(end:`MRS. CRATCHIT`) - RETURN properties(r) as edge_properties - LIMIT 1 - :result:{'keywords': '"family unity, celebration""partnership, family bond""partnership, family unity""partnership, resilience"', 'weight': 32.0, 'description': '"Bob Cratchit and Mrs. Cratchit work together to provide for their family, showcasing partnership and resilience.""Bob and Mrs. Cratchit represent a family working together to create a festive and warm environment despite their limited means.""Mrs. Cratchit supports Bob Cratchit in his parenting efforts and encourages the family’s unity during challenging times.""Mrs. Cratchit supports Bob in caring for their family and exhibits her love for him and their children."', 'source_id': 'chunk-9e3921da66da5d761ab73cd849af6c43chunk-b0f459f5af1c3a5e0b92cbe4ee48b77bchunk-1d4b58de5429cd1261370c231c8673e8'} -2024-10-30 06:53:40,707 - lightrag - INFO - get_edge:query: - MATCH (start:`SCROOGE`)-[r]->(end:`THE BLANKETS`) - RETURN properties(r) as edge_properties - LIMIT 1 - :result:{'keywords': '"neglect, reflection"', 'weight': 8.0, 'description': '"Scrooge contemplates the significance of The Blankets, linking them to the neglected state of The Deceased in death."', 'source_id': 'chunk-e1f29eeadc1d8ab46dc8a0bbd3c56b64'} -2024-10-30 06:53:40,799 - lightrag - INFO - get_edge:query: - MATCH (start:`SCROOGE`)-[r]->(end:`TIM`) - RETURN properties(r) as edge_properties - LIMIT 1 - :result:{'keywords': '"familial connection, emotional depth"', 'weight': 16.0, 'description': '"Scrooge\'s connection to Tim emphasizes emotional depth, reflecting on family and lost connections as part of his character development."', 'source_id': 'chunk-89777b838d5447c7bd1ec11282c4ee89'} -2024-10-30 06:53:40,893 - lightrag - INFO - get_edge:query: - MATCH (start:`MARLEY`)-[r]->(end:`THE HEAVY CHAIN`) - RETURN properties(r) as edge_properties - LIMIT 1 - :result:{'keywords': '"burden, consequence"', 'weight': 18.0, 'description': '"The Heavy Chain is linked to Marley as it suggests the burdens he carries from his earthly life, which he now haunts Scrooge with."', 'source_id': 'chunk-9c43dac2fcd5b578242d907ea6f8fc7b'} -2024-10-30 06:53:40,993 - lightrag - INFO - get_edge:query: - MATCH (start:`MARLEY'S GHOST`)-[r]->(end:`SCROOGE`) - RETURN properties(r) as edge_properties - LIMIT 1 - :result:{'keywords': '"confrontation, supernatural experience""reflection, consequence""supernatural confrontation, regret""supernatural encounter, existential crisis""warning, fate"', 'weight': 43.0, 'description': '"Marley\'s Ghost warns Scrooge about the consequences of his actions and the visits of the three spirits, setting the stage for his transformation.""Scrooge is haunted by Marley\'s Ghost, which confronts him as a part of a supernatural occurrence meant to incite fear and reflection on his life choices.""Scrooge is confronted by Marley\'s Ghost, representing the struggle between his disbelief and the ghost\'s insistence on showing the consequences of Scrooge\'s life choices.""Scrooge is directly confronted by Marley\'s Ghost, leading to confusion and existential questioning on his part.""Scrooge reacts to Marley\'s Ghost, reflecting on his past as he is warned about the consequences of his actions."', 'source_id': 'chunk-c7b10789a9cb0af6c553730b29bd9034chunk-9c43dac2fcd5b578242d907ea6f8fc7bchunk-cb661c37436355ccec2769b1d0350c5fchunk-1aa50206d02ed89418f65f97c6441d1c'} -2024-10-30 06:53:41,085 - lightrag - INFO - get_edge:query: - MATCH (start:`BAD REPUTE`)-[r]->(end:`SCROOGE`) - RETURN properties(r) as edge_properties - LIMIT 1 - :result:{'keywords': '"self-reflection, moral awakening"', 'weight': 9.0, 'description': '"Scrooge\'s experience in areas of Bad Repute forces him to confront the realities of society and his own role within it."', 'source_id': 'chunk-f1a4fbcf1ed86864b9bfd5e8dba4c683'} -2024-10-30 06:53:41,180 - lightrag - INFO - get_edge:query: - MATCH (start:`SCROOGE`)-[r]->(end:`THE OFFICE`) - RETURN properties(r) as edge_properties - LIMIT 1 - :result:{'keywords': '"isolation, work ethic"', 'weight': 12.0, 'description': '"Scrooge\'s office reflects his solitary and business-driven life, showcasing his disconnection from familial and social ties."', 'source_id': 'chunk-da2472b4ef2a535b62908f14d0fb0ca9'} -2024-10-30 06:53:41,275 - lightrag - INFO - get_edge:query: - MATCH (start:`FAN`)-[r]->(end:`SCROOGE`) - RETURN properties(r) as edge_properties - LIMIT 1 - :result:{'keywords': '"family, joy lost""sibling bond, nostalgia"', 'weight': 28.0, 'description': '"Fan\'s loving relationship with her brother Scrooge reflects the lost potential for joy in his life due to his choices.""Fan\'s loving relationship with her brother Scrooge reflects the lost potential for joy in his life due to his choices.""Scrooge and Fan share a sibling bond, with Fan representing innocence and happiness from their childhood, which evokes fond memories for Scrooge.""Scrooge and Fan share a sibling bond, with Fan representing innocence and happiness from their childhood, which evokes fond memories for Scrooge."', 'source_id': 'chunk-c6c248858d1b13ab7ee9ca13c1aeed6bchunk-9e3921da66da5d761ab73cd849af6c43'} -2024-10-30 06:53:41,369 - lightrag - INFO - get_edge:query: - MATCH (start:`CAROLINE`)-[r]->(end:`HOPE`) - RETURN properties(r) as edge_properties - LIMIT 1 - :result:{'keywords': '"emotional resilience, motivation"', 'weight': 16.0, 'description': '"Hope influences Caroline\'s reactions and actions throughout the story, serving as both a motivator and a source of inner conflict."', 'source_id': 'chunk-83ac129dc9b56f84c46760d153d68e93'} -2024-10-30 06:53:41,467 - lightrag - INFO - get_edge:query: - MATCH (start:`MARTHA`)-[r]->(end:`THE COUNTESS`) - RETURN properties(r) as edge_properties - LIMIT 1 - :result:{'keywords': '"social contrast, aspirations"', 'weight': 4.0, 'description': '"Martha\'s encounter with The Countess reflects her aspirations and experiences outside her lower socio-economic status."', 'source_id': 'chunk-19d72c57ae3408758b18d2568e86dc6b'} -2024-10-30 06:53:41,559 - lightrag - INFO - get_edge:query: - MATCH (start:`THE CHILDREN`)-[r]->(end:`THE HOUSE`) - RETURN properties(r) as edge_properties - LIMIT 1 - :result:{'keywords': '"setting, celebration"', 'weight': 7.0, 'description': '"The House serves as the setting for the children\'s joyous activities and emotional expressions during the Christmas event."', 'source_id': 'chunk-da2472b4ef2a535b62908f14d0fb0ca9'} -2024-10-30 06:53:41,654 - lightrag - INFO - get_edge:query: - MATCH (start:`SCROOGE`)-[r]->(end:`THE COLD`) - RETURN properties(r) as edge_properties - LIMIT 1 - :result:{'keywords': '"metaphor, emotional state"', 'weight': 8.0, 'description': '"The Cold serves as a metaphor for Scrooge\'s emotional state, indicating his lack of warmth and compassion."', 'source_id': 'chunk-74e2466de2f67fd710ef2f20c0a8d9e0'} -2024-10-30 06:53:41,749 - lightrag - INFO - get_edge:query: - MATCH (start:`BOB CRATCHIT`)-[r]->(end:`THE CHRISTMAS DINNER`) - RETURN properties(r) as edge_properties - LIMIT 1 - :result:{'keywords': '"family, celebration"', 'weight': 16.0, 'description': '"The Christmas Dinner represents the Cratchit family\'s celebration, with Bob Cratchit at the center of this warm gathering."', 'source_id': 'chunk-90b95db5c53e4364a6bee36b7aa4d70f'} -2024-10-30 06:53:41,839 - lightrag - INFO - get_edge:query: - MATCH (start:`THE YOUNG CRATCHITS`)-[r]->(end:`TINY TIM`) - RETURN properties(r) as edge_properties - LIMIT 1 - :result:{'keywords': '"sibling bond, family dynamics"', 'weight': 16.0, 'description': '"The Young Cratchits enthusiastically engage with Tiny Tim during the celebrations, highlighting the loving dynamics of the Cratchit family."', 'source_id': 'chunk-7e2e7ebcc19a53b399dc03aded4743e7'} -2024-10-30 06:53:41,933 - lightrag - INFO - get_edge:query: - MATCH (start:`PORTLY GENTLEMEN`)-[r]->(end:`SCROOGE`) - RETURN properties(r) as edge_properties - LIMIT 1 - :result:{'keywords': '"charity rejection, conflict"', 'weight': 8.0, 'description': '"Scrooge dismisses the Portly Gentlemen\'s request for donations, rejecting their appeal for charity."', 'source_id': 'chunk-5dac41b3f9eeaf794f0147400b1718cd'} -2024-10-30 06:53:42,025 - lightrag - INFO - get_edge:query: - MATCH (start:`SCROOGE`)-[r]->(end:`THE SPIRIT`) - RETURN properties(r) as edge_properties - LIMIT 1 - :result:{'keywords': '"guidance, self-reflection""guidance, transformation""introspection, guidance""moral guidance, change""moral guidance, transformation""self-reflection, transformation""supernatural guidance, self-reflection""supernatural intervention, guidance"', 'weight': 93.0, 'description': '"Scrooge engages with the Spirit as it reveals memories that prompt significant self-reflection and consideration of change.""Scrooge is guided by the Spirit, who shows him different scenes related to the joy and struggles of Christmas, aiming to change his heart.""The Spirit challenges Scrooge\'s perspective on life, urging him to consider the implications of his actions in light of death.""The Spirit represents an upcoming change in Scrooge\'s life, aiming to guide him towards redemption.""The Spirit represents moral lessons and urges Scrooge to change his ways for a better future.""Scrooge\'s interaction with The Spirit serves as a pivotal moment for him to reflect on his past decisions and seek wisdom.""The Spirit guides Scrooge through his memories, facilitating his emotional journey and transformation.""The Spirit interacts with Scrooge, guiding him to confront his past and future, emphasizing change and moral growth.""The Spirit is guiding Scrooge through different scenes, aiming to transform his character and perspective on life.""The Spirit serves as the medium for Scrooge\'s journey of self-discovery and accountability."', 'source_id': 'chunk-da2472b4ef2a535b62908f14d0fb0ca9chunk-e1f29eeadc1d8ab46dc8a0bbd3c56b64chunk-91614df5cb74cbe5e109a338a82041e9chunk-91572b3cd42786ba4cb2f180ca25cbf4chunk-f1a4fbcf1ed86864b9bfd5e8dba4c683chunk-8590d9263cd2cd4fa583c432fc54e6c3chunk-b2f98bc7abb0c67d4c86055c7fd72218'} -2024-10-30 06:53:42,120 - lightrag - INFO - get_edge:query: - MATCH (start:`MARKET-TOWN`)-[r]->(end:`SCROOGE`) - RETURN properties(r) as edge_properties - LIMIT 1 - :result:{'keywords': '"memory, childhood""nostalgia, memory"', 'weight': 15.0, 'description': '"Scrooge encounters the market-town in his memories, triggering feelings of recognition and emotional reflection.""Scrooge recognizes the Market-Town, eliciting fond memories from his childhood and emphasizing his emotional response to the past."', 'source_id': 'chunk-bb21d58d36c6306fd8810ddd51c4a971'} -2024-10-30 06:53:42,213 - lightrag - INFO - get_edge:query: - MATCH (start:`BOB CRATCHIT`)-[r]->(end:`EBENEZER SCROOGE`) - RETURN properties(r) as edge_properties - LIMIT 1 - :result:{'keywords': '"employment, power dynamics""workplace dynamics, social contrast"', 'weight': 13.0, 'description': '"Bob Cratchit works for Ebenezer Scrooge, embodying the struggles of the working class in contrast to Scrooge\'s miserliness.""Ebenezer Scrooge is Bob Cratchit\'s employer, representing a dynamic of power and struggle in their relationship."', 'source_id': 'chunk-9e3921da66da5d761ab73cd849af6c43'} -2024-10-30 06:53:42,308 - lightrag - INFO - get_edge:query: - MATCH (start:`CAMDEN TOWN`)-[r]->(end:`SCROOGE`) - RETURN properties(r) as edge_properties - LIMIT 1 - :result:{'keywords': '"logistics, festive preparation"', 'weight': 5.0, 'description': '"Scrooge mentions Camden Town in relation to the impracticality of delivering a large turkey there."', 'source_id': 'chunk-8f738cb25d60a7dab782162d9d0a25ed'} -2024-10-30 06:53:42,406 - lightrag - INFO - get_edge:query: - MATCH (start:`CHILD`)-[r]->(end:`SCROOGE`) - RETURN properties(r) as edge_properties - LIMIT 1 - :result:{'keywords': '"self-reflection, past connection"', 'weight': 16.0, 'description': '"Scrooge sees his younger self in the solitary child, sparking deep emotional reflections about his past and choices."', 'source_id': 'chunk-8590d9263cd2cd4fa583c432fc54e6c3'} -2024-10-30 06:53:42,501 - lightrag - INFO - get_edge:query: - MATCH (start:`BOB CRATCHIT`)-[r]->(end:`MARTHA`) - RETURN properties(r) as edge_properties - LIMIT 1 - :result:{'keywords': '"family reunion, surprise"', 'weight': 16.0, 'description': '"Martha surprises Bob Cratchit by coming home late for Christmas dinner, showing the family\'s love and warmth in reunions."', 'source_id': 'chunk-7e2e7ebcc19a53b399dc03aded4743e7'} -2024-10-30 06:53:42,596 - lightrag - INFO - get_edge:query: - MATCH (start:`SCROOGE`)-[r]->(end:`THE GHOST OF CHRISTMAS YET TO COME`) - RETURN properties(r) as edge_properties - LIMIT 1 - :result:{'keywords': '"consequence, introspection""consequences, change""consequences, fear""guidance, self-confrontation"', 'weight': 39.0, 'description': '"The Ghost guides Scrooge to confront his potential future that threatens his existence.""The Ghost is critical in revealing the consequences of Scrooge\'s life choices, pushing for change.""The Ghost of Christmas Yet to Come presents Scrooge with a vision of his possible future, instilling fear and prompting change.""The Ghost of Christmas Yet to Come shows Scrooge the consequences of his life choices, prompting introspection and desire for change."', 'source_id': 'chunk-91572b3cd42786ba4cb2f180ca25cbf4chunk-90b95db5c53e4364a6bee36b7aa4d70f'} -2024-10-30 06:53:42,688 - lightrag - INFO - get_edge:query: - MATCH (start:`SCROOGE`)-[r]->(end:`THE PHANTOM`) - RETURN properties(r) as edge_properties - LIMIT 1 - :result:{'keywords': '"guidance, reflection""guidance, self-reflection"', 'weight': 17.0, 'description': '"Scrooge interacts with the Phantom, which guides him through reflections on his life and future, emphasizing his journey of change.""The Phantom interacts with Scrooge, pointing him towards the importance of reflections on mortality and social connections."', 'source_id': 'chunk-f1a4fbcf1ed86864b9bfd5e8dba4c683'} -2024-10-30 06:53:42,780 - lightrag - INFO - get_edge:query: - MATCH (start:`SPIRIT`)-[r]->(end:`WANT`) - RETURN properties(r) as edge_properties - LIMIT 1 - :result:{'keywords': '"social issues, need for compassion""social warning, deprivation"', 'weight': 30.0, 'description': '"The Spirit points out Want, symbolizing the dire consequences of neglecting societal needs.""The Spirit points out Want, symbolizing the dire consequences of neglecting societal needs.""The Spirit presents Want along with Ignorance, symbolizing the plight of the less fortunate and appealing for compassion.""The Spirit presents Want along with Ignorance, symbolizing the plight of the less fortunate and appealing for compassion."', 'source_id': 'chunk-02baee20cc9463dbe08170a8e1043e32chunk-e7637ff18c5ded77a68cce0a87883fad'} -2024-10-30 06:53:42,874 - lightrag - INFO - get_edge:query: - MATCH (start:`CHRISTMAS`)-[r]->(end:`PEOPLE`) - RETURN properties(r) as edge_properties - LIMIT 1 - :result:{'keywords': '"community celebration, joy"', 'weight': 18.0, 'description': '"The People are actively engaged in the celebration of Christmas, demonstrating joy and festivity despite the harsh weather conditions."', 'source_id': 'chunk-99b0ec7f7e006561352b5d65e849611d'} -2024-10-30 06:53:42,971 - lightrag - INFO - get_edge:query: - MATCH (start:`FRIDAY`)-[r]->(end:`SCROOGE`) - RETURN properties(r) as edge_properties - LIMIT 1 - :result:{'keywords': '"storytelling, childhood memories"', 'weight': 5.0, 'description': '"Scrooge\'s mention of Friday signifies his recollection of childhood stories and influences during Christmas time."', 'source_id': 'chunk-8590d9263cd2cd4fa583c432fc54e6c3'} -2024-10-30 06:53:43,065 - lightrag - INFO - get_edge:query: - MATCH (start:`MARLEY`)-[r]->(end:`THE GHOST`) - RETURN properties(r) as edge_properties - LIMIT 1 - :result:{'keywords': '"haunting, past choices"', 'weight': 18.0, 'description': '"Marley is the embodiment of The Ghost that appears to Scrooge, representing past choices and the consequences of his actions."', 'source_id': 'chunk-9c43dac2fcd5b578242d907ea6f8fc7b'} -2024-10-30 06:53:43,157 - lightrag - INFO - get_edge:query: - MATCH (start:`BOB CRATCHIT`)-[r]->(end:`THE COUNTING-HOUSE CLERK`) - RETURN properties(r) as edge_properties - LIMIT 1 - :result:{'keywords': '"workforce dynamics, character contrast"', 'weight': 12.0, 'description': '"Bob Cratchit and The Counting-House Clerk represent the working class under Scrooge\'s employment, showcasing different character traits in the context of their work."', 'source_id': 'chunk-d9aac3484185ac66045df92214d245d5'} -2024-10-30 06:53:43,252 - lightrag - INFO - get_edge:query: - MATCH (start:`FROST`)-[r]->(end:`SCROOGE`) - RETURN properties(r) as edge_properties - LIMIT 1 - :result:{'keywords': '"atmospheric condition, characterization"', 'weight': 8.0, 'description': '"Frost enhances the chilling atmosphere around Scrooge\'s life and mindset, reflecting his cold character."', 'source_id': 'chunk-d9aac3484185ac66045df92214d245d5'} -2024-10-30 06:53:43,348 - lightrag - INFO - get_edge:query: - MATCH (start:`SCROOGE`)-[r]->(end:`THE FOUNDER OF THE FEAST`) - RETURN properties(r) as edge_properties - LIMIT 1 - :result:{'keywords': '"gratitude, recognition"', 'weight': 16.0, 'description': '"Scrooge\'s contribution as The Founder of the Feast is acknowledged by Bob, highlighting the connection between Scrooge and the Cratchit family\'s Christmas dinner."', 'source_id': 'chunk-503f0bfa5453467c7c61d160a3540eca'} -2024-10-30 06:53:43,443 - lightrag - INFO - get_edge:query: - MATCH (start:`SCROOGE`)-[r]->(end:`THE MEMORY`) - RETURN properties(r) as edge_properties - LIMIT 1 - :result:{'keywords': '"reflection, impact of past"', 'weight': 16.0, 'description': '"Scrooge\'s memories play a crucial role in shaping his perspective on love and happiness as he confronts his past."', 'source_id': 'chunk-54bdd22db1f84a965b5f4c06c9216d8d'} -2024-10-30 06:53:43,533 - lightrag - INFO - get_edge:query: - MATCH (start:`CHRISTMAS`)-[r]->(end:`TURKEYS`) - RETURN properties(r) as edge_properties - LIMIT 1 - :result:{'keywords': '"culinary tradition, celebration"', 'weight': 9.0, 'description': '"Turkeys are a traditional dish served during Christmas, contributing to the celebratory meal."', 'source_id': 'chunk-99b0ec7f7e006561352b5d65e849611d'} -2024-10-30 06:53:43,625 - lightrag - INFO - get_edge:query: - MATCH (start:`SCROOGE`)-[r]->(end:`THE MOURNING DRESS`) - RETURN properties(r) as edge_properties - LIMIT 1 - :result:{'keywords': '"loss, emotional distance"', 'weight': 16.0, 'description': '"The Mourning Dress symbolizes Scrooge\'s unfulfilled relationships and the emotional consequences of his choices."', 'source_id': 'chunk-b2f98bc7abb0c67d4c86055c7fd72218'} -2024-10-30 06:53:43,718 - lightrag - INFO - get_edge:query: - MATCH (start:`BOB CRATCHIT`)-[r]->(end:`MR. SCROOGE'S NEPHEW`) - RETURN properties(r) as edge_properties - LIMIT 1 - :result:{'keywords': '"kindness, community support""kindness, support"', 'weight': 14.0, 'description': '"Bob Cratchit shares a positive interaction with Mr. Scrooge\'s Nephew, who expresses kindness and concern for his family.""Mr. Scrooge\'s Nephew expresses sympathy and kindness towards Bob, reinforcing community and support."', 'source_id': 'chunk-1d4b58de5429cd1261370c231c8673e8'} -2024-10-30 06:53:43,813 - lightrag - INFO - get_edge:query: - MATCH (start:`MR. FEZZIWIG`)-[r]->(end:`SCROOGE`) - RETURN properties(r) as edge_properties - LIMIT 1 - :result:{'keywords': '"kindness, influence"', 'weight': 16.0, 'description': '"Mr. Fezziwig\'s kindness towards employees influences Scrooge\'s eventual change in attitude toward generosity and business."', 'source_id': 'chunk-9e3921da66da5d761ab73cd849af6c43'} -2024-10-30 06:53:43,912 - lightrag - INFO - get_edge:query: - MATCH (start:`SCROOGE`)-[r]->(end:`SMOKING BISHOP`) - RETURN properties(r) as edge_properties - LIMIT 1 - :result:{'keywords': '"celebration, warmth"', 'weight': 18.0, 'description': '"Scrooge and Bob\'s plans to enjoy Smoking Bishop together symbolize the welcoming of joy and warmth during the Christmas season."', 'source_id': 'chunk-94bea83e7153fc2064aa382b494936a1'} -2024-10-30 06:53:44,008 - lightrag - INFO - get_edge:query: - MATCH (start:`HOSPITAL`)-[r]->(end:`SPIRIT`) - RETURN properties(r) as edge_properties - LIMIT 1 - :result:{'keywords': '"care, compassion"', 'weight': 8.0, 'description': '"The Spirit uses the Hospital to demonstrate humanity\'s capacity for care and its responsibility towards the sick and needy."', 'source_id': 'chunk-e7637ff18c5ded77a68cce0a87883fad'} -2024-10-30 06:53:44,102 - lightrag - INFO - get_edge:query: - MATCH (start:`THE GHOST`)-[r]->(end:`THE SPIRIT`) - RETURN properties(r) as edge_properties - LIMIT 1 - :result:{'keywords': '"supernatural influence, guidance"', 'weight': 8.0, 'description': '"The Ghost acts as a precursor to The Spirit, both influencing Scrooge\'s journey of enlightenment and redemption."', 'source_id': 'chunk-da2472b4ef2a535b62908f14d0fb0ca9'} -2024-10-30 06:53:44,198 - lightrag - INFO - get_edge:query: - MATCH (start:`SCROOGE`)-[r]->(end:`THE COUNTING-HOUSE`) - RETURN properties(r) as edge_properties - LIMIT 1 - :result:{'keywords': '"work environment, character development""work environment, emotional landscape""work environment, personality reflection"', 'weight': 20.0, 'description': '"Scrooge\'s work environment reflects his personality, being cold and uninviting, mirroring his discontent with life.""The Counting-House is where Scrooge works, illustrating the environment that shapes his bleak personality.""The Counting-House represents Scrooge\'s work environment, which is devoid of warmth, paralleling Scrooge\'s cold demeanor."', 'source_id': 'chunk-d9aac3484185ac66045df92214d245d5chunk-74e2466de2f67fd710ef2f20c0a8d9e0'} -2024-10-30 06:53:44,292 - lightrag - INFO - get_edge:query: - MATCH (start:`DARKNESS`)-[r]->(end:`SCROOGE`) - RETURN properties(r) as edge_properties - LIMIT 1 - :result:{'keywords': '"themes, isolation"', 'weight': 9.0, 'description': '"Darkness symbolizes Scrooge\'s internal feelings of isolation and regret, presenting the overall mood of his journey towards potential redemption."', 'source_id': 'chunk-9c43dac2fcd5b578242d907ea6f8fc7b'} -2024-10-30 06:53:44,386 - lightrag - INFO - get_edge:query: - MATCH (start:`CHRISTMAS`)-[r]->(end:`SCROOGE`) - RETURN properties(r) as edge_properties - LIMIT 1 - :result:{'keywords': '"character development, festive spirit""conflict, holiday spirit""contrast, seasonal significance""disconnection, festive spirit""holiday significance, reflection""holiday significance, transformation""holiday spirit, social critique""nostalgia, reflection""reflection, redemption""rejection, festive spirit""renewal, change""seasonal significance, emotional reflection""transformation, disdain""transformation, festive spirit""transformation, holiday significance""transformation, holiday spirit"', 'weight': 169.0, 'description': '"Christmas becomes a focal point for Scrooge\'s promise to change and embrace life, symbolizing hope and renewal.""Christmas is a central theme that invokes Scrooge\'s memories of his past, his feelings of loneliness, and his desire to connect.""Christmas serves as a focal point for Scrooge\'s emotional reflections on joy and his disconnect from societal celebrations.""Christmas serves as the catalyst for Scrooge\'s transformation, highlighting themes of giving and compassion.""Scrooge expresses disdain for Christmas, viewing it as a burden rather than a celebration.""Scrooge\'s attitude towards Christmas highlights his disconnection from the festive spirit and charity associated with the holiday.""Scrooge\'s character contrasts sharply with the joy of Christmas, highlighting his disdain for the festive season.""Scrooge\'s experience during the Christmas event highlights the transformation of his character and the spirit of the holiday.""Scrooge\'s journey with the Spirit ultimately leads him to reflect on the meaning of Christmas and its impact on human connections.""Scrooge\'s transformation and newfound joy are directly linked to the spirit of Christmas.""Scrooge\'s transformation is centered around the spirit of Christmas, which he learns to embrace and celebrate.""Scrooge\'s views on Christmas evolve as he witnesses the joy and familial love associated with the holiday, marking a shift in his character.""Scrooge reflects on Christmas with a mix of emotions, highlighting its importance in his life and character arc.""Scrooge\'s attitude towards Christmas is one of disdain, setting the stage for his eventual transformation as he confronts the meaning of the holiday.""Scrooge\'s involvement in the Christmas activities represents a significant moment of change in his character, as he becomes more engaged and merry.""Scrooge\'s refusal to celebrate Christmas reflects his overall attitude towards generosity and societal obligations during this festive time.""Scrooge\'s rejection of Christmas embodies his overall discord with the spirit of the holiday, viewing it as a time of financial burden instead of joy.""Scrooge\'s transformation is closely linked to the celebration of Christmas, highlighting themes of giving and joy.""Scrooge\'s transformation is closely tied to the spirit of Christmas, marking a significant personal change during this event."', 'source_id': 'chunk-43c9bee23adfa77aa9dedd22401bba7dchunk-74e2466de2f67fd710ef2f20c0a8d9e0chunk-89777b838d5447c7bd1ec11282c4ee89chunk-e7637ff18c5ded77a68cce0a87883fadchunk-da2472b4ef2a535b62908f14d0fb0ca9chunk-90d5764e301321c087f5a8f78b73a145chunk-91614df5cb74cbe5e109a338a82041e9chunk-91572b3cd42786ba4cb2f180ca25cbf4chunk-8f738cb25d60a7dab782162d9d0a25edchunk-94bea83e7153fc2064aa382b494936a1chunk-54bdd22db1f84a965b5f4c06c9216d8dchunk-8590d9263cd2cd4fa583c432fc54e6c3chunk-99b0ec7f7e006561352b5d65e849611d'} -2024-10-30 06:53:44,483 - lightrag - INFO - get_edge:query: - MATCH (start:`DEATH`)-[r]->(end:`THE FUTURE`) - RETURN properties(r) as edge_properties - LIMIT 1 - :result:{'keywords': '"consequences of choices, reflection"', 'weight': 7.0, 'description': '"The concept of The Future is intricately linked to discussions about Death, pondering the consequences of life\'s choices."', 'source_id': 'chunk-02baee20cc9463dbe08170a8e1043e32'} -2024-10-30 06:53:44,575 - lightrag - INFO - get_edge:query: - MATCH (start:`SCROOGE`)-[r]->(end:`THE FOG AND FROST`) - RETURN properties(r) as edge_properties - LIMIT 1 - :result:{'keywords': '"atmosphere, emotional coldness"', 'weight': 14.0, 'description': '"The Fog and Frost enveloping Scrooge\'s home reflect the chilling atmosphere of his life and his emotional coldness."', 'source_id': 'chunk-d9aac3484185ac66045df92214d245d5'} -2024-10-30 06:53:44,669 - lightrag - INFO - get_edge:query: - MATCH (start:`SCROOGE`)-[r]->(end:`THE WINE-MERCHANT'S CELLAR`) - RETURN properties(r) as edge_properties - LIMIT 1 - :result:{'keywords': '"atmosphere, haunting"', 'weight': 16.0, 'description': '"Scrooge hears the dragging chains from The Wine-Merchant\'s Cellar, indicating that the haunting presence is felt throughout The House."', 'source_id': 'chunk-9c43dac2fcd5b578242d907ea6f8fc7b'} -2024-10-30 06:53:44,760 - lightrag - INFO - get_edge:query: - MATCH (start:`SCROOGE`)-[r]->(end:`THE CITY`) - RETURN properties(r) as edge_properties - LIMIT 1 - :result:{'keywords': '"disconnection, personal evolution""reflection, urban life""transformation, community""urban setting, contrast"', 'weight': 26.0, 'description': '"Scrooge\'s reflections in the City highlight his relationship with his past and the contrast of his current life.""Scrooge\'s relationship with The City is marked by detachment, representing his lost connection to his past self and experiences.""Scrooge\'s transformation impacts The City as he learns to embrace Christmas spirit and generosity within his community.""The City serves as a backdrop for Scrooge\'s memories, contrasting the vibrant life he once had with his current isolation."', 'source_id': 'chunk-c6c248858d1b13ab7ee9ca13c1aeed6bchunk-94bea83e7153fc2064aa382b494936a1chunk-bb21d58d36c6306fd8810ddd51c4a971'} -2024-10-30 06:53:44,851 - lightrag - INFO - get_edge:query: - MATCH (start:`SCROOGE`)-[r]->(end:`THE PRIME OF LIFE`) - RETURN properties(r) as edge_properties - LIMIT 1 - :result:{'keywords': '"reflection, life choices"', 'weight': 18.0, 'description': '"Scrooge reflects on his Prime of Life, contrasting it with his current state and the sacrifices he has made for wealth."', 'source_id': 'chunk-b2f98bc7abb0c67d4c86055c7fd72218'} -2024-10-30 06:53:44,942 - lightrag - INFO - get_edge:query: - MATCH (start:`SCROOGE`)-[r]->(end:`THE PAST`) - RETURN properties(r) as edge_properties - LIMIT 1 - :result:{'keywords': '"self-reflection, choices"', 'weight': 9.0, 'description': '"Scrooge must acknowledge The Past to understand his current situation and guide his choices for the future."', 'source_id': 'chunk-91572b3cd42786ba4cb2f180ca25cbf4'} -2024-10-30 06:53:45,036 - lightrag - INFO - get_edge:query: - MATCH (start:`SCROOGE`)-[r]->(end:`THE REGISTER`) - RETURN properties(r) as edge_properties - LIMIT 1 - :result:{'keywords': '"responsibility, mourning"', 'weight': 8.0, 'description': '"Scrooge\'s connection to The Register reinforces his involvement in Marley\'s death and the responsibilities that follow."', 'source_id': 'chunk-89777b838d5447c7bd1ec11282c4ee89'} -2024-10-30 06:53:45,128 - lightrag - INFO - get_edge:query: - MATCH (start:`BOB CRATCHIT`)-[r]->(end:`MARTHA CRATCHIT`) - RETURN properties(r) as edge_properties - LIMIT 1 - :result:{'keywords': '"family bond, affection""family, love"', 'weight': 14.0, 'description': '"Bob shows pride and love for his daughter Martha, highlighting the close ties within the Cratchit family.""Martha shows affection for Bob Cratchit upon her arrival, indicating a warm father-daughter relationship within the family."', 'source_id': 'chunk-7e2e7ebcc19a53b399dc03aded4743e7chunk-9e3921da66da5d761ab73cd849af6c43'} -2024-10-30 06:53:45,222 - lightrag - INFO - get_edge:query: - MATCH (start:`MARTHA`)-[r]->(end:`THE LORD`) - RETURN properties(r) as edge_properties - LIMIT 1 - :result:{'keywords': '"social status, contrast"', 'weight': 4.0, 'description': '"Martha\'s reference to The Lord indicates her exposure to higher social circles, which contrasts her family\'s financial struggles."', 'source_id': 'chunk-19d72c57ae3408758b18d2568e86dc6b'} -2024-10-30 06:53:45,317 - lightrag - INFO - get_edge:query: - MATCH (start:`SCROOGE`)-[r]->(end:`THE PARROT`) - RETURN properties(r) as edge_properties - LIMIT 1 - :result:{'keywords': '"nostalgia, whimsy"', 'weight': 12.0, 'description': '"Scrooge recalls the Parrot associated with his memories of Robin Crusoe, highlighting the whimsical and nostalgic aspects of his reflections."', 'source_id': 'chunk-8590d9263cd2cd4fa583c432fc54e6c3'} -2024-10-30 06:53:45,412 - lightrag - INFO - get_edge:query: - MATCH (start:`CRATCHIT FAMILY`)-[r]->(end:`TINY TIM`) - RETURN properties(r) as edge_properties - LIMIT 1 - :result:{'keywords': '"family bond, celebration""family ties, innocence""hope, joy"', 'weight': 25.0, 'description': '"Tiny Tim\'s presence in the Cratchit family adds to their joy and highlights the family\'s spirit of togetherness during Christmas.""Tiny Tim, as part of the Cratchit Family, represents the innocence and vulnerability of the family, affecting their dynamics during Christmas.""Tiny Tim, despite his condition, brings joy to the Cratchit Family and fosters a sense of hope and love during their Christmas celebration."', 'source_id': 'chunk-19d72c57ae3408758b18d2568e86dc6bchunk-7e2e7ebcc19a53b399dc03aded4743e7'} -2024-10-30 06:53:45,506 - lightrag - INFO - get_edge:query: - MATCH (start:`MANSION`)-[r]->(end:`THE GHOST`) - RETURN properties(r) as edge_properties - LIMIT 1 - :result:{'keywords': '"guidance, contrast"', 'weight': 18.0, 'description': '"The Ghost guides Scrooge through the Mansion, illustrating the contrast between past warmth and present decay."', 'source_id': 'chunk-8590d9263cd2cd4fa583c432fc54e6c3'} -2024-10-30 06:53:45,594 - lightrag - INFO - get_edge:query: - MATCH (start:`CHRISTMAS DAY`)-[r]->(end:`CRATCHIT FAMILY`) - RETURN properties(r) as edge_properties - LIMIT 1 - :result:{'keywords': '"celebration, tradition""celebration, unity""family gathering, holiday celebration"', 'weight': 29.0, 'description': '"The Cratchit Family comes together to celebrate Christmas Day, a crucial moment that reflects their unity and joy despite challenges.""The Cratchit Family gathers to celebrate Christmas Day, reflecting their togetherness and joy despite their hardships.""The Cratchit Family\'s celebration on Christmas Day emphasizes their unity and joy in sharing the holiday together."', 'source_id': 'chunk-19d72c57ae3408758b18d2568e86dc6bchunk-7e2e7ebcc19a53b399dc03aded4743e7'} -2024-10-30 06:53:45,684 - lightrag - INFO - get_edge:query: - MATCH (start:`SCROOGE`)-[r]->(end:`THE SCHOOLMASTER`) - RETURN properties(r) as edge_properties - LIMIT 1 - :result:{'keywords': '"authority, discipline"', 'weight': 6.0, 'description': '"The Schoolmaster represents authority and discipline in Scrooge\'s early life, influencing his development."', 'source_id': 'chunk-c6c248858d1b13ab7ee9ca13c1aeed6b'} -2024-10-30 06:53:45,779 - lightrag - INFO - get_edge:query: - MATCH (start:`THE HUSBAND`)-[r]->(end:`THE MOTHER`) - RETURN properties(r) as edge_properties - LIMIT 1 - :result:{'keywords': '"marital dynamics, emotional strain"', 'weight': 16.0, 'description': '"The Mother expresses anxiety and eagerness as she interacts with her husband, showcasing the emotional strain caused by uncertainty."', 'source_id': 'chunk-83ac129dc9b56f84c46760d153d68e93'} -2024-10-30 06:53:45,875 - lightrag - INFO - get_edge:query: - MATCH (start:`SCROOGE`)-[r]->(end:`WANT`) - RETURN properties(r) as edge_properties - LIMIT 1 - :result:{'keywords': '"social critique, consequences"', 'weight': 9.0, 'description': '"Scrooge is shown the consequences of Want, reflecting on the impacts of desire and neglect in society."', 'source_id': 'chunk-02baee20cc9463dbe08170a8e1043e32'} -2024-10-30 06:53:45,969 - lightrag - INFO - get_edge:query: - MATCH (start:`EBENEZER SCROOGE`)-[r]->(end:`THE CLOCK`) - RETURN properties(r) as edge_properties - LIMIT 1 - :result:{'keywords': '"temporal confusion, malfunction"', 'weight': 7.0, 'description': '"Scrooge\'s confusion about time is exacerbated by The Clock\'s malfunction, heightening his sense of disorientation."', 'source_id': 'chunk-c7b10789a9cb0af6c553730b29bd9034'} -2024-10-30 06:53:46,061 - lightrag - INFO - get_edge:query: - MATCH (start:`SCROOGE`)-[r]->(end:`TOPPER`) - RETURN properties(r) as edge_properties - LIMIT 1 - :result:{'keywords': '"celebration, friendship""observation, merriment""playfulness, interaction"', 'weight': 20.0, 'description': '"Scrooge and Topper participate in the games, showcasing the playful atmosphere of the Christmas gathering and hinting at Scrooge\'s changing attitude.""Scrooge observes Topper\'s antics and expressions of joy during the games, revealing a reflection on human nature and merriment.""Topper\'s presence at the Christmas gathering highlights the festive spirit and camaraderie among friends and family during the celebration."', 'source_id': 'chunk-43c9bee23adfa77aa9dedd22401bba7dchunk-94bea83e7153fc2064aa382b494936a1'} -2024-10-30 06:53:46,153 - lightrag - INFO - get_edge:query: - MATCH (start:`SCROOGE`)-[r]->(end:`THE KNOCKER`) - RETURN properties(r) as edge_properties - LIMIT 1 - :result:{'keywords': '"appreciation, transformation""haunting, symbol of guilt""symbolism, transformation"', 'weight': 24.0, 'description': '"Scrooge admires the knocker at his door, marking a positive change in his attitude towards life and surroundings.""The Knocker, transforming into Marley\'s face, symbolizes Scrooge\'s ghostly past and impending redemption challenges.""Scrooge perceives Marley\'s face in the knocker, symbolizing his own guilt and the haunting nature of his past choices."', 'source_id': 'chunk-d9aac3484185ac66045df92214d245d5chunk-8f738cb25d60a7dab782162d9d0a25ed'} -2024-10-30 06:53:46,246 - lightrag - INFO - get_edge:query: - MATCH (start:`CHRISTMAS-TIME`)-[r]->(end:`SCROOGE`) - RETURN properties(r) as edge_properties - LIMIT 1 - :result:{'keywords': '"cynicism, holiday spirit conflict""redemption, celebration"', 'weight': 19.0, 'description': '"Scrooge views Christmas-time as a burden rather than a celebration, contrasting with the feelings of others around him.""Scrooge\'s experiences during Christmas-time reflect his internal struggles and the possibility of redemption and joy."', 'source_id': 'chunk-5dac41b3f9eeaf794f0147400b1718cdchunk-c6c248858d1b13ab7ee9ca13c1aeed6b'} -2024-10-30 06:53:46,347 - lightrag - INFO - get_edge:query: - MATCH (start:`BOB CRATCHIT`)-[r]->(end:`PETER`) - RETURN properties(r) as edge_properties - LIMIT 1 - :result:{'keywords': '"family discussions, support""family support, concern"', 'weight': 12.0, 'description': '"Peter interacts with Bob Cratchit, showing the dynamics of a supportive family unit while discussing aspirations.""Peter shows concern for Bob, participating actively in family discussions and support."', 'source_id': 'chunk-1d4b58de5429cd1261370c231c8673e8'} -2024-10-30 06:53:46,500 - lightrag - INFO - get_edge:query: - MATCH (start:`MARLEY'S GHOST`)-[r]->(end:`THE CHAIN`) - RETURN properties(r) as edge_properties - LIMIT 1 - :result:{'keywords': '"regret, warning"', 'weight': 18.0, 'description': '"Marley\'s Ghost is bound by The Chain, which symbolizes his regrets and serves as a warning to Scrooge about the consequences of his own actions."', 'source_id': 'chunk-cb661c37436355ccec2769b1d0350c5f'} -2024-10-30 06:53:46,597 - lightrag - INFO - get_edge:query: - MATCH (start:`BELINDA CRATCHIT`)-[r]->(end:`CRATCHIT FAMILY`) - RETURN properties(r) as edge_properties - LIMIT 1 - :result:{'keywords': '"family participation, tradition"', 'weight': 8.0, 'description': '"Belinda Cratchit\'s role in sweetening the apple sauce shows her active involvement in family traditions during Christmas."', 'source_id': 'chunk-7e2e7ebcc19a53b399dc03aded4743e7'} -2024-10-30 06:53:46,692 - lightrag - INFO - get_edge:query: - MATCH (start:`RED-FACED GENTLEMAN`)-[r]->(end:`SCROOGE`) - RETURN properties(r) as edge_properties - LIMIT 1 - :result:{'keywords': '"humor, communal context"', 'weight': 12.0, 'description': '"Scrooge observes the conversation of the Red-faced Gentleman, which offers humorous insights into communal attitudes toward death."', 'source_id': 'chunk-f1a4fbcf1ed86864b9bfd5e8dba4c683'} -2024-10-30 06:53:46,782 - lightrag - INFO - get_edge:query: - MATCH (start:`SCROOGE`)-[r]->(end:`THE SITTING ROOM`) - RETURN properties(r) as edge_properties - LIMIT 1 - :result:{'keywords': '"reflection, transformation"', 'weight': 8.0, 'description': '"The Sitting Room is where Scrooge reflects on his past and contemplates his future, crucial to his transformation."', 'source_id': 'chunk-90b95db5c53e4364a6bee36b7aa4d70f'} -2024-10-30 06:53:46,883 - lightrag - INFO - get_edge:query: - MATCH (start:`CHRISTMAS`)-[r]->(end:`THE LAMPLIGHTER`) - RETURN properties(r) as edge_properties - LIMIT 1 - :result:{'keywords': '"symbolism, holiday spirit"', 'weight': 7.0, 'description': '"The Lamplighter\'s actions of spreading light symbolize the joy and warmth associated with Christmas."', 'source_id': 'chunk-91614df5cb74cbe5e109a338a82041e9'} -2024-10-30 06:53:46,981 - lightrag - INFO - get_edge:query: - MATCH (start:`SCROOGE`)-[r]->(end:`THE DECEASED MAN`) - RETURN properties(r) as edge_properties - LIMIT 1 - :result:{'keywords': '"moral reflection, consequence"', 'weight': 18.0, 'description': '"Scrooge reflects on the life and death of The Deceased Man, prompting introspection about his own life choices."', 'source_id': 'chunk-e1f29eeadc1d8ab46dc8a0bbd3c56b64'} -2024-10-30 06:53:47,082 - lightrag - INFO - get_edge:query: - MATCH (start:`SCROOGE`)-[r]->(end:`THE CASK`) - RETURN properties(r) as edge_properties - LIMIT 1 - :result:{'keywords': '"fear, tension"', 'weight': 8.0, 'description': '"The Cask is associated with the sounds of chains during the haunting, heightening Scrooge\'s fear and trepidation about the ghostly visit."', 'source_id': 'chunk-9c43dac2fcd5b578242d907ea6f8fc7b'} -2024-10-30 06:53:47,201 - lightrag - INFO - edge_degree:query:MATCH (n1:`GHOST`)-[r]-(n2:`SCROOGE`) - RETURN count(r) AS degree:result:1 -2024-10-30 06:53:47,294 - lightrag - INFO - edge_degree:query:MATCH (n1:`SCROOGE`)-[r]-(n2:`THE TURKEY`) - RETURN count(r) AS degree:result:1 -2024-10-30 06:53:47,388 - lightrag - INFO - edge_degree:query:MATCH (n1:`SCROOGE`)-[r]-(n2:`THE PRESENT`) - RETURN count(r) AS degree:result:1 -2024-10-30 06:53:47,481 - lightrag - INFO - edge_degree:query:MATCH (n1:`LITTLE FAN`)-[r]-(n2:`SCROOGE`) - RETURN count(r) AS degree:result:1 -2024-10-30 06:53:47,578 - lightrag - INFO - edge_degree:query:MATCH (n1:`ALMSHOUSE`)-[r]-(n2:`SPIRIT`) - RETURN count(r) AS degree:result:1 -2024-10-30 06:53:47,669 - lightrag - INFO - edge_degree:query:MATCH (n1:`HOPE`)-[r]-(n2:`THE COMELY MATRON`) - RETURN count(r) AS degree:result:1 -2024-10-30 06:53:47,760 - lightrag - INFO - edge_degree:query:MATCH (n1:`CHRISTMAS`)-[r]-(n2:`THE GROCERS`) - RETURN count(r) AS degree:result:1 -2024-10-30 06:53:47,848 - lightrag - INFO - edge_degree:query:MATCH (n1:`SCROOGE`)-[r]-(n2:`THE SPIRITS`) - RETURN count(r) AS degree:result:1 -2024-10-30 06:53:47,942 - lightrag - INFO - edge_degree:query:MATCH (n1:`BOB CRATCHIT`)-[r]-(n2:`TINY TIM`) - RETURN count(r) AS degree:result:1 -2024-10-30 06:53:48,037 - lightrag - INFO - edge_degree:query:MATCH (n1:`GHOST OF CHRISTMAS PAST`)-[r]-(n2:`SCROOGE`) - RETURN count(r) AS degree:result:1 -2024-10-30 06:53:48,129 - lightrag - INFO - edge_degree:query:MATCH (n1:`CHRISTMAS`)-[r]-(n2:`THE MANSION HOUSE`) - RETURN count(r) AS degree:result:1 -2024-10-30 06:53:48,221 - lightrag - INFO - edge_degree:query:MATCH (n1:`GRAVE`)-[r]-(n2:`SCROOGE`) - RETURN count(r) AS degree:result:1 -2024-10-30 06:53:48,315 - lightrag - INFO - edge_degree:query:MATCH (n1:`MARLEY`)-[r]-(n2:`SCROOGE AND MARLEY'S`) - RETURN count(r) AS degree:result:1 -2024-10-30 06:53:48,412 - lightrag - INFO - edge_degree:query:MATCH (n1:`SCROOGE`)-[r]-(n2:`THE GRATE`) - RETURN count(r) AS degree:result:1 -2024-10-30 06:53:48,507 - lightrag - INFO - edge_degree:query:MATCH (n1:`SCROOGE`)-[r]-(n2:`THE DYING FLAME`) - RETURN count(r) AS degree:result:1 -2024-10-30 06:53:48,599 - lightrag - INFO - edge_degree:query:MATCH (n1:`CAROLINE`)-[r]-(n2:`THE HUSBAND`) - RETURN count(r) AS degree:result:1 -2024-10-30 06:53:48,690 - lightrag - INFO - edge_degree:query:MATCH (n1:`CHRISTMAS EVES`)-[r]-(n2:`SCROOGE`) - RETURN count(r) AS degree:result:1 -2024-10-30 06:53:48,780 - lightrag - INFO - edge_degree:query:MATCH (n1:`BOB CRATCHIT`)-[r]-(n2:`THE CRATCHIT HOUSEHOLD`) - RETURN count(r) AS degree:result:1 -2024-10-30 06:53:48,869 - lightrag - INFO - edge_degree:query:MATCH (n1:`BOB CRATCHIT`)-[r]-(n2:`SPIRIT OF CHRISTMAS PRESENT`) - RETURN count(r) AS degree:result:1 -2024-10-30 06:53:48,959 - lightrag - INFO - edge_degree:query:MATCH (n1:`THE CANDLE`)-[r]-(n2:`THE FOG AND FROST`) - RETURN count(r) AS degree:result:1 -2024-10-30 06:53:49,054 - lightrag - INFO - edge_degree:query:MATCH (n1:`CHRISTMAS`)-[r]-(n2:`THE GHOST`) - RETURN count(r) AS degree:result:1 -2024-10-30 06:53:49,150 - lightrag - INFO - edge_degree:query:MATCH (n1:`BOB`)-[r]-(n2:`SCROOGE`) - RETURN count(r) AS degree:result:1 -2024-10-30 06:53:49,243 - lightrag - INFO - edge_degree:query:MATCH (n1:`FEZZIWIG`)-[r]-(n2:`SCROOGE`) - RETURN count(r) AS degree:result:1 -2024-10-30 06:53:49,336 - lightrag - INFO - edge_degree:query:MATCH (n1:`GHOST OF CHRISTMAS PRESENT`)-[r]-(n2:`SCROOGE`) - RETURN count(r) AS degree:result:1 -2024-10-30 06:53:49,434 - lightrag - INFO - edge_degree:query:MATCH (n1:`SCROOGE`)-[r]-(n2:`SPIRIT`) - RETURN count(r) AS degree:result:1 -2024-10-30 06:53:49,531 - lightrag - INFO - edge_degree:query:MATCH (n1:`SCROOGE`)-[r]-(n2:`THE BOY`) - RETURN count(r) AS degree:result:1 -2024-10-30 06:53:49,621 - lightrag - INFO - edge_degree:query:MATCH (n1:`SCROOGE`)-[r]-(n2:`THE GHOST`) - RETURN count(r) AS degree:result:1 -2024-10-30 06:53:49,713 - lightrag - INFO - edge_degree:query:MATCH (n1:`THE CRATCHIT FAMILY`)-[r]-(n2:`TINY TIM`) - RETURN count(r) AS degree:result:1 -2024-10-30 06:53:49,806 - lightrag - INFO - edge_degree:query:MATCH (n1:`SCROOGE`)-[r]-(n2:`THE GHOST OF CHRISTMAS PAST`) - RETURN count(r) AS degree:result:1 -2024-10-30 06:53:49,902 - lightrag - INFO - edge_degree:query:MATCH (n1:`HAPPINESS`)-[r]-(n2:`THE BEAUTIFUL YOUNG GIRL`) - RETURN count(r) AS degree:result:1 -2024-10-30 06:53:49,993 - lightrag - INFO - edge_degree:query:MATCH (n1:`EBENEZER SCROOGE`)-[r]-(n2:`TINY TIM`) - RETURN count(r) AS degree:result:1 -2024-10-30 06:53:50,088 - lightrag - INFO - edge_degree:query:MATCH (n1:`SCROOGE`)-[r]-(n2:`THE GENTLEMEN`) - RETURN count(r) AS degree:result:1 -2024-10-30 06:53:50,184 - lightrag - INFO - edge_degree:query:MATCH (n1:`SCROOGE`)-[r]-(n2:`THE PHANTOM VOICES`) - RETURN count(r) AS degree:result:1 -2024-10-30 06:53:50,279 - lightrag - INFO - edge_degree:query:MATCH (n1:`DICK WILKINS`)-[r]-(n2:`SCROOGE`) - RETURN count(r) AS degree:result:1 -2024-10-30 06:53:50,373 - lightrag - INFO - edge_degree:query:MATCH (n1:`DINNER`)-[r]-(n2:`SCROOGE'S NEPHEW`) - RETURN count(r) AS degree:result:1 -2024-10-30 06:53:50,470 - lightrag - INFO - edge_degree:query:MATCH (n1:`BOB CRATCHIT`)-[r]-(n2:`MASTER PETER`) - RETURN count(r) AS degree:result:1 -2024-10-30 06:53:50,562 - lightrag - INFO - edge_degree:query:MATCH (n1:`SCROOGE`)-[r]-(n2:`THE FUNERAL`) - RETURN count(r) AS degree:result:1 -2024-10-30 06:53:50,653 - lightrag - INFO - edge_degree:query:MATCH (n1:`SCROOGE`)-[r]-(n2:`STREET`) - RETURN count(r) AS degree:result:1 -2024-10-30 06:53:50,741 - lightrag - INFO - edge_degree:query:MATCH (n1:`SCROOGE`)-[r]-(n2:`THE GRAVE`) - RETURN count(r) AS degree:result:1 -2024-10-30 06:53:50,830 - lightrag - INFO - edge_degree:query:MATCH (n1:`JOE`)-[r]-(n2:`THE DECEASED`) - RETURN count(r) AS degree:result:1 -2024-10-30 06:53:50,922 - lightrag - INFO - edge_degree:query:MATCH (n1:`CHRISTMAS`)-[r]-(n2:`TINY TIM`) - RETURN count(r) AS degree:result:1 -2024-10-30 06:53:51,018 - lightrag - INFO - edge_degree:query:MATCH (n1:`IGNORANCE`)-[r]-(n2:`SCROOGE`) - RETURN count(r) AS degree:result:1 -2024-10-30 06:53:51,113 - lightrag - INFO - edge_degree:query:MATCH (n1:`MANKIND`)-[r]-(n2:`SCROOGE`) - RETURN count(r) AS degree:result:1 -2024-10-30 06:53:51,207 - lightrag - INFO - edge_degree:query:MATCH (n1:`GAOL`)-[r]-(n2:`SPIRIT`) - RETURN count(r) AS degree:result:1 -2024-10-30 06:53:51,299 - lightrag - INFO - edge_degree:query:MATCH (n1:`THE FIRE`)-[r]-(n2:`TINY TIM`) - RETURN count(r) AS degree:result:1 -2024-10-30 06:53:51,391 - lightrag - INFO - edge_degree:query:MATCH (n1:`ORSON`)-[r]-(n2:`SCROOGE`) - RETURN count(r) AS degree:result:1 -2024-10-30 06:53:51,487 - lightrag - INFO - edge_degree:query:MATCH (n1:`BELLE`)-[r]-(n2:`SCROOGE`) - RETURN count(r) AS degree:result:1 -2024-10-30 06:53:51,584 - lightrag - INFO - edge_degree:query:MATCH (n1:`COURT`)-[r]-(n2:`SCROOGE`) - RETURN count(r) AS degree:result:1 -2024-10-30 06:53:51,678 - lightrag - INFO - edge_degree:query:MATCH (n1:`SCROOGE`)-[r]-(n2:`THE CORPSE`) - RETURN count(r) AS degree:result:1 -2024-10-30 06:53:51,770 - lightrag - INFO - edge_degree:query:MATCH (n1:`CHRISTMAS`)-[r]-(n2:`SPANISH ONIONS`) - RETURN count(r) AS degree:result:1 -2024-10-30 06:53:51,861 - lightrag - INFO - edge_degree:query:MATCH (n1:`CHURCH`)-[r]-(n2:`SCROOGE`) - RETURN count(r) AS degree:result:1 -2024-10-30 06:53:51,956 - lightrag - INFO - edge_degree:query:MATCH (n1:`CRATCHIT FAMILY`)-[r]-(n2:`MASTER PETER CRATCHIT`) - RETURN count(r) AS degree:result:1 -2024-10-30 06:53:52,057 - lightrag - INFO - edge_degree:query:MATCH (n1:`SCROOGE`)-[r]-(n2:`THE GHOST OF MARLEY`) - RETURN count(r) AS degree:result:1 -2024-10-30 06:53:52,151 - lightrag - INFO - edge_degree:query:MATCH (n1:`CRATCHIT CHRISTMAS DINNER`)-[r]-(n2:`CRATCHIT FAMILY`) - RETURN count(r) AS degree:result:1 -2024-10-30 06:53:52,244 - lightrag - INFO - edge_degree:query:MATCH (n1:`THE CHILDREN`)-[r]-(n2:`THE MOTHER`) - RETURN count(r) AS degree:result:1 -2024-10-30 06:53:52,339 - lightrag - INFO - edge_degree:query:MATCH (n1:`CRATCHIT FAMILY`)-[r]-(n2:`THE SPIRIT`) - RETURN count(r) AS degree:result:1 -2024-10-30 06:53:52,437 - lightrag - INFO - edge_degree:query:MATCH (n1:`SCHOOL`)-[r]-(n2:`SPIRIT`) - RETURN count(r) AS degree:result:1 -2024-10-30 06:53:52,531 - lightrag - INFO - edge_degree:query:MATCH (n1:`CRATCHIT FAMILY`)-[r]-(n2:`THE GOOSE`) - RETURN count(r) AS degree:result:1 -2024-10-30 06:53:52,620 - lightrag - INFO - edge_degree:query:MATCH (n1:`CHRISTMAS`)-[r]-(n2:`MISTLETOE`) - RETURN count(r) AS degree:result:1 -2024-10-30 06:53:52,716 - lightrag - INFO - edge_degree:query:MATCH (n1:`DEATH`)-[r]-(n2:`SCROOGE`) - RETURN count(r) AS degree:result:1 -2024-10-30 06:53:52,807 - lightrag - INFO - edge_degree:query:MATCH (n1:`SCROOGE`)-[r]-(n2:`THE DOWERLESS GIRL`) - RETURN count(r) AS degree:result:1 -2024-10-30 06:53:52,901 - lightrag - INFO - edge_degree:query:MATCH (n1:`CRATCHIT FAMILY`)-[r]-(n2:`DEATH`) - RETURN count(r) AS degree:result:1 -2024-10-30 06:53:52,995 - lightrag - INFO - edge_degree:query:MATCH (n1:`FELLOW-BEINGS`)-[r]-(n2:`SCROOGE`) - RETURN count(r) AS degree:result:1 -2024-10-30 06:53:53,087 - lightrag - INFO - edge_degree:query:MATCH (n1:`CLERK`)-[r]-(n2:`SCROOGE`) - RETURN count(r) AS degree:result:1 -2024-10-30 06:53:53,180 - lightrag - INFO - edge_degree:query:MATCH (n1:`SCROOGE`)-[r]-(n2:`THE DECEASED`) - RETURN count(r) AS degree:result:1 -2024-10-30 06:53:53,274 - lightrag - INFO - edge_degree:query:MATCH (n1:`SCROOGE`)-[r]-(n2:`THE LAMPLIGHTER`) - RETURN count(r) AS degree:result:1 -2024-10-30 06:53:53,368 - lightrag - INFO - edge_degree:query:MATCH (n1:`DICK`)-[r]-(n2:`SCROOGE`) - RETURN count(r) AS degree:result:1 -2024-10-30 06:53:53,463 - lightrag - INFO - edge_degree:query:MATCH (n1:`OLD JOE`)-[r]-(n2:`THE SHOP`) - RETURN count(r) AS degree:result:1 -2024-10-30 06:53:53,559 - lightrag - INFO - edge_degree:query:MATCH (n1:`SCROOGE`)-[r]-(n2:`THE CRATCHIT HOUSE`) - RETURN count(r) AS degree:result:1 -2024-10-30 06:53:53,651 - lightrag - INFO - edge_degree:query:MATCH (n1:`ALI BABA`)-[r]-(n2:`SCROOGE`) - RETURN count(r) AS degree:result:1 -2024-10-30 06:53:53,741 - lightrag - INFO - edge_degree:query:MATCH (n1:`JACOB`)-[r]-(n2:`SCROOGE`) - RETURN count(r) AS degree:result:1 -2024-10-30 06:53:53,829 - lightrag - INFO - edge_degree:query:MATCH (n1:`THE BUNDLE`)-[r]-(n2:`THE DECEASED MAN`) - RETURN count(r) AS degree:result:1 -2024-10-30 06:53:53,925 - lightrag - INFO - edge_degree:query:MATCH (n1:`CHILDREN`)-[r]-(n2:`SPIRIT`) - RETURN count(r) AS degree:result:1 -2024-10-30 06:53:54,020 - lightrag - INFO - edge_degree:query:MATCH (n1:`COUNTING-HOUSE`)-[r]-(n2:`SCROOGE`) - RETURN count(r) AS degree:result:1 -2024-10-30 06:53:54,116 - lightrag - INFO - edge_degree:query:MATCH (n1:`SCROOGE`)-[r]-(n2:`THE GHOST OF CHRISTMAS PRESENT`) - RETURN count(r) AS degree:result:1 -2024-10-30 06:53:54,206 - lightrag - INFO - edge_degree:query:MATCH (n1:`SCHOOL`)-[r]-(n2:`SCROOGE`) - RETURN count(r) AS degree:result:1 -2024-10-30 06:53:54,297 - lightrag - INFO - edge_degree:query:MATCH (n1:`JOE`)-[r]-(n2:`SCROOGE`) - RETURN count(r) AS degree:result:1 -2024-10-30 06:53:54,392 - lightrag - INFO - edge_degree:query:MATCH (n1:`CHRISTMAS`)-[r]-(n2:`SCROOGE'S NEPHEW`) - RETURN count(r) AS degree:result:1 -2024-10-30 06:53:54,485 - lightrag - INFO - edge_degree:query:MATCH (n1:`THE DAUGHTER`)-[r]-(n2:`THE MOTHER`) - RETURN count(r) AS degree:result:1 -2024-10-30 06:53:54,585 - lightrag - INFO - edge_degree:query:MATCH (n1:`BOB CRATCHIT`)-[r]-(n2:`THE TANK`) - RETURN count(r) AS degree:result:1 -2024-10-30 06:53:54,677 - lightrag - INFO - edge_degree:query:MATCH (n1:`SCROOGE`)-[r]-(n2:`THE HOUSE`) - RETURN count(r) AS degree:result:1 -2024-10-30 06:53:54,771 - lightrag - INFO - edge_degree:query:MATCH (n1:`GHOST OF CHRISTMAS PRESENT`)-[r]-(n2:`SPIRIT`) - RETURN count(r) AS degree:result:1 -2024-10-30 06:53:54,864 - lightrag - INFO - edge_degree:query:MATCH (n1:`SCROOGE`)-[r]-(n2:`THE CLOCK`) - RETURN count(r) AS degree:result:1 -2024-10-30 06:53:54,958 - lightrag - INFO - edge_degree:query:MATCH (n1:`BOB CRATCHIT`)-[r]-(n2:`THE POULTERER'S`) - RETURN count(r) AS degree:result:1 -2024-10-30 06:53:55,053 - lightrag - INFO - edge_degree:query:MATCH (n1:`BEDLAM`)-[r]-(n2:`SCROOGE`) - RETURN count(r) AS degree:result:1 -2024-10-30 06:53:55,147 - lightrag - INFO - edge_degree:query:MATCH (n1:`CHRISTMAS CAROL`)-[r]-(n2:`SCROOGE`) - RETURN count(r) AS degree:result:1 -2024-10-30 06:53:55,245 - lightrag - INFO - edge_degree:query:MATCH (n1:`SCROOGE`)-[r]-(n2:`THE BELL`) - RETURN count(r) AS degree:result:1 -2024-10-30 06:53:55,341 - lightrag - INFO - edge_degree:query:MATCH (n1:`CHILDREN`)-[r]-(n2:`SCROOGE`) - RETURN count(r) AS degree:result:1 -2024-10-30 06:53:55,442 - lightrag - INFO - edge_degree:query:MATCH (n1:`GHOST`)-[r]-(n2:`SPECTRE`) - RETURN count(r) AS degree:result:1 -2024-10-30 06:53:55,536 - lightrag - INFO - edge_degree:query:MATCH (n1:`POOR AND DESTITUTE`)-[r]-(n2:`SCROOGE`) - RETURN count(r) AS degree:result:1 -2024-10-30 06:53:55,632 - lightrag - INFO - edge_degree:query:MATCH (n1:`BOYS`)-[r]-(n2:`SCROOGE`) - RETURN count(r) AS degree:result:1 -2024-10-30 06:53:55,726 - lightrag - INFO - edge_degree:query:MATCH (n1:`CHRISTMAS DAY`)-[r]-(n2:`SCROOGE`) - RETURN count(r) AS degree:result:1 -2024-10-30 06:53:55,814 - lightrag - INFO - edge_degree:query:MATCH (n1:`BOB CRATCHIT`)-[r]-(n2:`CHRISTMAS EVE`) - RETURN count(r) AS degree:result:1 -2024-10-30 06:53:55,909 - lightrag - INFO - edge_degree:query:MATCH (n1:`BOB CRATCHIT`)-[r]-(n2:`CAMDEN TOWN`) - RETURN count(r) AS degree:result:1 -2024-10-30 06:53:56,009 - lightrag - INFO - edge_degree:query:MATCH (n1:`CHRISTMAS`)-[r]-(n2:`THE SHIP`) - RETURN count(r) AS degree:result:1 -2024-10-30 06:53:56,098 - lightrag - INFO - edge_degree:query:MATCH (n1:`IGNORANCE`)-[r]-(n2:`SPIRIT`) - RETURN count(r) AS degree:result:1 -2024-10-30 06:53:56,188 - lightrag - INFO - edge_degree:query:MATCH (n1:`SCROOGE`)-[r]-(n2:`WEALTH`) - RETURN count(r) AS degree:result:1 -2024-10-30 06:53:56,282 - lightrag - INFO - edge_degree:query:MATCH (n1:`SCROOGE`)-[r]-(n2:`THE THREE SPIRITS`) - RETURN count(r) AS degree:result:1 -2024-10-30 06:53:56,375 - lightrag - INFO - edge_degree:query:MATCH (n1:`LONDON`)-[r]-(n2:`SCROOGE`) - RETURN count(r) AS degree:result:1 -2024-10-30 06:53:56,472 - lightrag - INFO - edge_degree:query:MATCH (n1:`BUSINESSMEN`)-[r]-(n2:`SCROOGE`) - RETURN count(r) AS degree:result:1 -2024-10-30 06:53:56,565 - lightrag - INFO - edge_degree:query:MATCH (n1:`BOB CRATCHIT`)-[r]-(n2:`THE FAMILY`) - RETURN count(r) AS degree:result:1 -2024-10-30 06:53:56,656 - lightrag - INFO - edge_degree:query:MATCH (n1:`BOB`)-[r]-(n2:`TINY TIM`) - RETURN count(r) AS degree:result:1 -2024-10-30 06:53:56,748 - lightrag - INFO - edge_degree:query:MATCH (n1:`MARLEY`)-[r]-(n2:`THE KNOCKER`) - RETURN count(r) AS degree:result:1 -2024-10-30 06:53:56,838 - lightrag - INFO - edge_degree:query:MATCH (n1:`BEGGARS`)-[r]-(n2:`SCROOGE`) - RETURN count(r) AS degree:result:1 -2024-10-30 06:53:56,930 - lightrag - INFO - edge_degree:query:MATCH (n1:`GHOST OF CHRISTMAS PRESENT`)-[r]-(n2:`TINY TIM`) - RETURN count(r) AS degree:result:1 -2024-10-30 06:53:57,023 - lightrag - INFO - edge_degree:query:MATCH (n1:`SCROOGE`)-[r]-(n2:`WINDING RIVER`) - RETURN count(r) AS degree:result:1 -2024-10-30 06:53:57,116 - lightrag - INFO - edge_degree:query:MATCH (n1:`MULTITUDES`)-[r]-(n2:`SCROOGE`) - RETURN count(r) AS degree:result:1 -2024-10-30 06:53:57,206 - lightrag - INFO - edge_degree:query:MATCH (n1:`SCROOGE`)-[r]-(n2:`SPIRIT OF CHRISTMAS PRESENT`) - RETURN count(r) AS degree:result:1 -2024-10-30 06:53:57,297 - lightrag - INFO - edge_degree:query:MATCH (n1:`THE LIGHTHOUSE`)-[r]-(n2:`THE WAVE`) - RETURN count(r) AS degree:result:1 -2024-10-30 06:53:57,390 - lightrag - INFO - edge_degree:query:MATCH (n1:`SPIRIT`)-[r]-(n2:`THE EVENT OF DEATH`) - RETURN count(r) AS degree:result:1 -2024-10-30 06:53:57,487 - lightrag - INFO - edge_degree:query:MATCH (n1:`MRS. CRATCHIT`)-[r]-(n2:`SCROOGE`) - RETURN count(r) AS degree:result:1 -2024-10-30 06:53:57,581 - lightrag - INFO - edge_degree:query:MATCH (n1:`SCROOGE`)-[r]-(n2:`THE WINDOW`) - RETURN count(r) AS degree:result:1 -2024-10-30 06:53:57,674 - lightrag - INFO - edge_degree:query:MATCH (n1:`FOG`)-[r]-(n2:`SCROOGE`) - RETURN count(r) AS degree:result:1 -2024-10-30 06:53:57,767 - lightrag - INFO - edge_degree:query:MATCH (n1:`ROBIN CRUSOE`)-[r]-(n2:`SCROOGE`) - RETURN count(r) AS degree:result:1 -2024-10-30 06:53:57,859 - lightrag - INFO - edge_degree:query:MATCH (n1:`GHOST OF JACOB MARLEY`)-[r]-(n2:`SCROOGE`) - RETURN count(r) AS degree:result:1 -2024-10-30 06:53:57,954 - lightrag - INFO - edge_degree:query:MATCH (n1:`MARTHA CRATCHIT`)-[r]-(n2:`THE COUNTESS`) - RETURN count(r) AS degree:result:1 -2024-10-30 06:53:58,046 - lightrag - INFO - edge_degree:query:MATCH (n1:`SCROOGE`)-[r]-(n2:`TINY TIM`) - RETURN count(r) AS degree:result:1 -2024-10-30 06:53:58,138 - lightrag - INFO - edge_degree:query:MATCH (n1:`MR. MARLEY`)-[r]-(n2:`SCROOGE`) - RETURN count(r) AS degree:result:1 -2024-10-30 06:53:58,230 - lightrag - INFO - edge_degree:query:MATCH (n1:`CHRISTMAS`)-[r]-(n2:`GROCERS'`) - RETURN count(r) AS degree:result:1 -2024-10-30 06:53:58,325 - lightrag - INFO - edge_degree:query:MATCH (n1:`CHRISTMAS`)-[r]-(n2:`THE DINNER`) - RETURN count(r) AS degree:result:1 -2024-10-30 06:53:58,418 - lightrag - INFO - edge_degree:query:MATCH (n1:`APPLES`)-[r]-(n2:`CHRISTMAS`) - RETURN count(r) AS degree:result:1 -2024-10-30 06:53:58,509 - lightrag - INFO - edge_degree:query:MATCH (n1:`CLOCK`)-[r]-(n2:`SCROOGE`) - RETURN count(r) AS degree:result:1 -2024-10-30 06:53:58,602 - lightrag - INFO - edge_degree:query:MATCH (n1:`SCROOGE`)-[r]-(n2:`THE WAREHOUSE`) - RETURN count(r) AS degree:result:1 -2024-10-30 06:53:58,698 - lightrag - INFO - edge_degree:query:MATCH (n1:`JACOB MARLEY`)-[r]-(n2:`SCROOGE`) - RETURN count(r) AS degree:result:1 -2024-10-30 06:53:58,793 - lightrag - INFO - edge_degree:query:MATCH (n1:`CITY`)-[r]-(n2:`SCROOGE`) - RETURN count(r) AS degree:result:1 -2024-10-30 06:53:58,884 - lightrag - INFO - edge_degree:query:MATCH (n1:`SCROOGE`)-[r]-(n2:`THE YOUNG GIRL`) - RETURN count(r) AS degree:result:1 -2024-10-30 06:53:58,976 - lightrag - INFO - edge_degree:query:MATCH (n1:`CHRISTMAS`)-[r]-(n2:`THE SPIRIT`) - RETURN count(r) AS degree:result:1 -2024-10-30 06:53:59,065 - lightrag - INFO - edge_degree:query:MATCH (n1:`CHRISTMAS`)-[r]-(n2:`THE LIGHTHOUSE`) - RETURN count(r) AS degree:result:1 -2024-10-30 06:53:59,156 - lightrag - INFO - edge_degree:query:MATCH (n1:`CHRISTMAS`)-[r]-(n2:`CHRISTMAS EVE`) - RETURN count(r) AS degree:result:1 -2024-10-30 06:53:59,247 - lightrag - INFO - edge_degree:query:MATCH (n1:`SCROOGE`)-[r]-(n2:`SCROOGE'S NIECE`) - RETURN count(r) AS degree:result:1 -2024-10-30 06:53:59,338 - lightrag - INFO - edge_degree:query:MATCH (n1:`SCROOGE`)-[r]-(n2:`THE GIRL`) - RETURN count(r) AS degree:result:1 -2024-10-30 06:53:59,431 - lightrag - INFO - edge_degree:query:MATCH (n1:`SCROOGE`)-[r]-(n2:`THE POULTERER'S`) - RETURN count(r) AS degree:result:1 -2024-10-30 06:53:59,531 - lightrag - INFO - edge_degree:query:MATCH (n1:`THE CRATCHIT HOUSE`)-[r]-(n2:`THE DEBT`) - RETURN count(r) AS degree:result:1 -2024-10-30 06:53:59,624 - lightrag - INFO - edge_degree:query:MATCH (n1:`JOE`)-[r]-(n2:`THE WOMAN`) - RETURN count(r) AS degree:result:1 -2024-10-30 06:53:59,718 - lightrag - INFO - edge_degree:query:MATCH (n1:`CHRISTMAS HOLIDAYS`)-[r]-(n2:`SCROOGE`) - RETURN count(r) AS degree:result:1 -2024-10-30 06:53:59,809 - lightrag - INFO - edge_degree:query:MATCH (n1:`SCROOGE`)-[r]-(n2:`THE GOLDEN IDOL`) - RETURN count(r) AS degree:result:1 -2024-10-30 06:53:59,898 - lightrag - INFO - edge_degree:query:MATCH (n1:`OLD SCRATCH`)-[r]-(n2:`THE FUNERAL`) - RETURN count(r) AS degree:result:1 -2024-10-30 06:53:59,991 - lightrag - INFO - edge_degree:query:MATCH (n1:`MARLEY'S FUNERAL`)-[r]-(n2:`SCROOGE`) - RETURN count(r) AS degree:result:1 -2024-10-30 06:54:00,083 - lightrag - INFO - edge_degree:query:MATCH (n1:`SCROOGE`)-[r]-(n2:`THE OBSCURE PART OF TOWN`) - RETURN count(r) AS degree:result:1 -2024-10-30 06:54:00,174 - lightrag - INFO - edge_degree:query:MATCH (n1:`BOB CRATCHIT`)-[r]-(n2:`THE GATHERING`) - RETURN count(r) AS degree:result:1 -2024-10-30 06:54:00,267 - lightrag - INFO - edge_degree:query:MATCH (n1:`CHRISTMAS PUDDING`)-[r]-(n2:`CRATCHIT FAMILY`) - RETURN count(r) AS degree:result:1 -2024-10-30 06:54:00,359 - lightrag - INFO - edge_degree:query:MATCH (n1:`OLD SCROOGE`)-[r]-(n2:`SCROOGE`) - RETURN count(r) AS degree:result:1 -2024-10-30 06:54:00,449 - lightrag - INFO - edge_degree:query:MATCH (n1:`SCROOGE`)-[r]-(n2:`THE DARKNESS`) - RETURN count(r) AS degree:result:1 -2024-10-30 06:54:00,543 - lightrag - INFO - edge_degree:query:MATCH (n1:`BOB CRATCHIT`)-[r]-(n2:`CAROLINE`) - RETURN count(r) AS degree:result:1 -2024-10-30 06:54:00,635 - lightrag - INFO - edge_degree:query:MATCH (n1:`CHESTNUTS`)-[r]-(n2:`CHRISTMAS`) - RETURN count(r) AS degree:result:1 -2024-10-30 06:54:00,727 - lightrag - INFO - edge_degree:query:MATCH (n1:`THE LOW-BROWED SHOP`)-[r]-(n2:`THE TOWN`) - RETURN count(r) AS degree:result:1 -2024-10-30 06:54:00,818 - lightrag - INFO - edge_degree:query:MATCH (n1:`SCROOGE`)-[r]-(n2:`THE OLD GENTLEMAN`) - RETURN count(r) AS degree:result:1 -2024-10-30 06:54:00,909 - lightrag - INFO - edge_degree:query:MATCH (n1:`HOME`)-[r]-(n2:`THE MOTHER`) - RETURN count(r) AS degree:result:1 -2024-10-30 06:54:01,001 - lightrag - INFO - edge_degree:query:MATCH (n1:`SCROOGE`)-[r]-(n2:`THE BED`) - RETURN count(r) AS degree:result:1 -2024-10-30 06:54:01,096 - lightrag - INFO - edge_degree:query:MATCH (n1:`SCROOGE`)-[r]-(n2:`THE DRESSING-GOWN`) - RETURN count(r) AS degree:result:1 -2024-10-30 06:54:01,192 - lightrag - INFO - edge_degree:query:MATCH (n1:`SCROOGE`)-[r]-(n2:`SUNDAY CLOTHES BOY`) - RETURN count(r) AS degree:result:1 -2024-10-30 06:54:01,287 - lightrag - INFO - edge_degree:query:MATCH (n1:`SCROOGE`)-[r]-(n2:`THE YARD`) - RETURN count(r) AS degree:result:1 -2024-10-30 06:54:01,381 - lightrag - INFO - edge_degree:query:MATCH (n1:`CHRISTMAS EVE`)-[r]-(n2:`SCROOGE`) - RETURN count(r) AS degree:result:1 -2024-10-30 06:54:01,477 - lightrag - INFO - edge_degree:query:MATCH (n1:`COLD WEATHER`)-[r]-(n2:`SCROOGE`) - RETURN count(r) AS degree:result:1 -2024-10-30 06:54:01,569 - lightrag - INFO - edge_degree:query:MATCH (n1:`MARLEY`)-[r]-(n2:`SCROOGE`) - RETURN count(r) AS degree:result:1 -2024-10-30 06:54:01,663 - lightrag - INFO - edge_degree:query:MATCH (n1:`FRED`)-[r]-(n2:`SCROOGE`) - RETURN count(r) AS degree:result:1 -2024-10-30 06:54:01,761 - lightrag - INFO - edge_degree:query:MATCH (n1:`SCROOGE`)-[r]-(n2:`SCROOGE'S NEPHEW`) - RETURN count(r) AS degree:result:1 -2024-10-30 06:54:01,854 - lightrag - INFO - edge_degree:query:MATCH (n1:`GHOST OF CHRISTMAS YET TO COME`)-[r]-(n2:`SPIRIT`) - RETURN count(r) AS degree:result:1 -2024-10-30 06:54:01,943 - lightrag - INFO - edge_degree:query:MATCH (n1:`MISERY'S REFUGE`)-[r]-(n2:`SPIRIT`) - RETURN count(r) AS degree:result:1 -2024-10-30 06:54:02,040 - lightrag - INFO - edge_degree:query:MATCH (n1:`SCROOGE`)-[r]-(n2:`THE CHURCH`) - RETURN count(r) AS degree:result:1 -2024-10-30 06:54:02,130 - lightrag - INFO - edge_degree:query:MATCH (n1:`CHRISTMAS`)-[r]-(n2:`PEARS`) - RETURN count(r) AS degree:result:1 -2024-10-30 06:54:02,222 - lightrag - INFO - edge_degree:query:MATCH (n1:`THE FATHER`)-[r]-(n2:`THE MOTHER`) - RETURN count(r) AS degree:result:1 -2024-10-30 06:54:02,314 - lightrag - INFO - edge_degree:query:MATCH (n1:`SCROOGE`)-[r]-(n2:`THE PEOPLE`) - RETURN count(r) AS degree:result:1 -2024-10-30 06:54:02,410 - lightrag - INFO - edge_degree:query:MATCH (n1:`CRATCHIT FAMILY`)-[r]-(n2:`SCROOGE`) - RETURN count(r) AS degree:result:1 -2024-10-30 06:54:02,504 - lightrag - INFO - edge_degree:query:MATCH (n1:`CRATCHIT FAMILY`)-[r]-(n2:`MRS. CRATCHIT`) - RETURN count(r) AS degree:result:1 -2024-10-30 06:54:02,596 - lightrag - INFO - edge_degree:query:MATCH (n1:`CHRISTMAS-TIME`)-[r]-(n2:`THE PHANTOM`) - RETURN count(r) AS degree:result:1 -2024-10-30 06:54:02,689 - lightrag - INFO - edge_degree:query:MATCH (n1:`CHRISTMAS`)-[r]-(n2:`GREAT BRITAIN`) - RETURN count(r) AS degree:result:1 -2024-10-30 06:54:02,780 - lightrag - INFO - edge_degree:query:MATCH (n1:`GHOST OF CHRISTMAS YET TO COME`)-[r]-(n2:`SCROOGE`) - RETURN count(r) AS degree:result:1 -2024-10-30 06:54:02,874 - lightrag - INFO - edge_degree:query:MATCH (n1:`CHRISTMAS`)-[r]-(n2:`HOLLY`) - RETURN count(r) AS degree:result:1 -2024-10-30 06:54:02,963 - lightrag - INFO - edge_degree:query:MATCH (n1:`SCROOGE`)-[r]-(n2:`SHADOW OF HIMSELF`) - RETURN count(r) AS degree:result:1 -2024-10-30 06:54:03,050 - lightrag - INFO - edge_degree:query:MATCH (n1:`SCROOGE`)-[r]-(n2:`THE CLERK`) - RETURN count(r) AS degree:result:1 -2024-10-30 06:54:03,139 - lightrag - INFO - edge_degree:query:MATCH (n1:`SCROOGE`)-[r]-(n2:`THE GHOST OF JACOB MARLEY`) - RETURN count(r) AS degree:result:1 -2024-10-30 06:54:03,232 - lightrag - INFO - edge_degree:query:MATCH (n1:`CHRISTMAS`)-[r]-(n2:`GEESE`) - RETURN count(r) AS degree:result:1 -2024-10-30 06:54:03,324 - lightrag - INFO - edge_degree:query:MATCH (n1:`SCROOGE`)-[r]-(n2:`THE MAIN STREET`) - RETURN count(r) AS degree:result:1 -2024-10-30 06:54:03,418 - lightrag - INFO - edge_degree:query:MATCH (n1:`SCROOGE`)-[r]-(n2:`VALENTINE`) - RETURN count(r) AS degree:result:1 -2024-10-30 06:54:03,511 - lightrag - INFO - edge_degree:query:MATCH (n1:`SCROOGE`)-[r]-(n2:`THE GHOST OF CHRISTMAS FUTURE`) - RETURN count(r) AS degree:result:1 -2024-10-30 06:54:03,603 - lightrag - INFO - edge_degree:query:MATCH (n1:`SCROOGE`)-[r]-(n2:`TWELFTH-NIGHT PARTY`) - RETURN count(r) AS degree:result:1 -2024-10-30 06:54:03,697 - lightrag - INFO - edge_degree:query:MATCH (n1:`THE CRATCHIT FAMILY`)-[r]-(n2:`THE DINNER`) - RETURN count(r) AS degree:result:1 -2024-10-30 06:54:03,792 - lightrag - INFO - edge_degree:query:MATCH (n1:`BOB CRATCHIT`)-[r]-(n2:`THE COUNTING-HOUSE`) - RETURN count(r) AS degree:result:1 -2024-10-30 06:54:03,886 - lightrag - INFO - edge_degree:query:MATCH (n1:`DEATH`)-[r]-(n2:`THE BED`) - RETURN count(r) AS degree:result:1 -2024-10-30 06:54:03,977 - lightrag - INFO - edge_degree:query:MATCH (n1:`CITY`)-[r]-(n2:`SPIRIT`) - RETURN count(r) AS degree:result:1 -2024-10-30 06:54:04,074 - lightrag - INFO - edge_degree:query:MATCH (n1:`CHRISTMAS FEAST`)-[r]-(n2:`CRATCHIT FAMILY`) - RETURN count(r) AS degree:result:1 -2024-10-30 06:54:04,163 - lightrag - INFO - edge_degree:query:MATCH (n1:`CRATCHIT FAMILY`)-[r]-(n2:`MARTHA`) - RETURN count(r) AS degree:result:1 -2024-10-30 06:54:04,256 - lightrag - INFO - edge_degree:query:MATCH (n1:`SCROOGE`)-[r]-(n2:`THE BUSINESSMEN`) - RETURN count(r) AS degree:result:1 -2024-10-30 06:54:04,351 - lightrag - INFO - edge_degree:query:MATCH (n1:`SCROOGE`)-[r]-(n2:`THE GENTLEMAN`) - RETURN count(r) AS degree:result:1 -2024-10-30 06:54:04,446 - lightrag - INFO - edge_degree:query:MATCH (n1:`JACOB MARLEY`)-[r]-(n2:`THE GHOST`) - RETURN count(r) AS degree:result:1 -2024-10-30 06:54:04,544 - lightrag - INFO - edge_degree:query:MATCH (n1:`MASTER SCROOGE`)-[r]-(n2:`SCROOGE`) - RETURN count(r) AS degree:result:1 -2024-10-30 06:54:04,642 - lightrag - INFO - edge_degree:query:MATCH (n1:`MANSION`)-[r]-(n2:`SCROOGE`) - RETURN count(r) AS degree:result:1 -2024-10-30 06:54:04,732 - lightrag - INFO - edge_degree:query:MATCH (n1:`CHRISTMAS`)-[r]-(n2:`FRENCH PLUMS`) - RETURN count(r) AS degree:result:1 -2024-10-30 06:54:04,824 - lightrag - INFO - edge_degree:query:MATCH (n1:`CHRISTMAS`)-[r]-(n2:`FIGS`) - RETURN count(r) AS degree:result:1 -2024-10-30 06:54:04,913 - lightrag - INFO - edge_degree:query:MATCH (n1:`BOB CRATCHIT`)-[r]-(n2:`SCROOGE`) - RETURN count(r) AS degree:result:1 -2024-10-30 06:54:05,002 - lightrag - INFO - edge_degree:query:MATCH (n1:`BRIDGE`)-[r]-(n2:`SCROOGE`) - RETURN count(r) AS degree:result:1 -2024-10-30 06:54:05,094 - lightrag - INFO - edge_degree:query:MATCH (n1:`SCROOGE`)-[r]-(n2:`THE BEAUTIFUL YOUNG GIRL`) - RETURN count(r) AS degree:result:1 -2024-10-30 06:54:05,186 - lightrag - INFO - edge_degree:query:MATCH (n1:`MRS. CRATCHIT`)-[r]-(n2:`TINY TIM`) - RETURN count(r) AS degree:result:1 -2024-10-30 06:54:05,276 - lightrag - INFO - edge_degree:query:MATCH (n1:`MARTHA`)-[r]-(n2:`TINY TIM`) - RETURN count(r) AS degree:result:1 -2024-10-30 06:54:05,367 - lightrag - INFO - edge_degree:query:MATCH (n1:`BOB CRATCHIT`)-[r]-(n2:`MRS. CRATCHIT`) - RETURN count(r) AS degree:result:1 -2024-10-30 06:54:05,461 - lightrag - INFO - edge_degree:query:MATCH (n1:`SCROOGE`)-[r]-(n2:`THE BLANKETS`) - RETURN count(r) AS degree:result:1 -2024-10-30 06:54:05,555 - lightrag - INFO - edge_degree:query:MATCH (n1:`SCROOGE`)-[r]-(n2:`TIM`) - RETURN count(r) AS degree:result:1 -2024-10-30 06:54:05,647 - lightrag - INFO - edge_degree:query:MATCH (n1:`MARLEY`)-[r]-(n2:`THE HEAVY CHAIN`) - RETURN count(r) AS degree:result:1 -2024-10-30 06:54:05,742 - lightrag - INFO - edge_degree:query:MATCH (n1:`MARLEY'S GHOST`)-[r]-(n2:`SCROOGE`) - RETURN count(r) AS degree:result:1 -2024-10-30 06:54:05,835 - lightrag - INFO - edge_degree:query:MATCH (n1:`BAD REPUTE`)-[r]-(n2:`SCROOGE`) - RETURN count(r) AS degree:result:1 -2024-10-30 06:54:05,926 - lightrag - INFO - edge_degree:query:MATCH (n1:`SCROOGE`)-[r]-(n2:`THE OFFICE`) - RETURN count(r) AS degree:result:1 -2024-10-30 06:54:06,017 - lightrag - INFO - edge_degree:query:MATCH (n1:`FAN`)-[r]-(n2:`SCROOGE`) - RETURN count(r) AS degree:result:1 -2024-10-30 06:54:06,114 - lightrag - INFO - edge_degree:query:MATCH (n1:`CAROLINE`)-[r]-(n2:`HOPE`) - RETURN count(r) AS degree:result:1 -2024-10-30 06:54:06,208 - lightrag - INFO - edge_degree:query:MATCH (n1:`MARTHA`)-[r]-(n2:`THE COUNTESS`) - RETURN count(r) AS degree:result:1 -2024-10-30 06:54:06,303 - lightrag - INFO - edge_degree:query:MATCH (n1:`THE CHILDREN`)-[r]-(n2:`THE HOUSE`) - RETURN count(r) AS degree:result:1 -2024-10-30 06:54:06,399 - lightrag - INFO - edge_degree:query:MATCH (n1:`SCROOGE`)-[r]-(n2:`THE COLD`) - RETURN count(r) AS degree:result:1 -2024-10-30 06:54:06,493 - lightrag - INFO - edge_degree:query:MATCH (n1:`BOB CRATCHIT`)-[r]-(n2:`THE CHRISTMAS DINNER`) - RETURN count(r) AS degree:result:1 -2024-10-30 06:54:06,586 - lightrag - INFO - edge_degree:query:MATCH (n1:`THE YOUNG CRATCHITS`)-[r]-(n2:`TINY TIM`) - RETURN count(r) AS degree:result:1 -2024-10-30 06:54:06,686 - lightrag - INFO - edge_degree:query:MATCH (n1:`PORTLY GENTLEMEN`)-[r]-(n2:`SCROOGE`) - RETURN count(r) AS degree:result:1 -2024-10-30 06:54:06,783 - lightrag - INFO - edge_degree:query:MATCH (n1:`SCROOGE`)-[r]-(n2:`THE SPIRIT`) - RETURN count(r) AS degree:result:1 -2024-10-30 06:54:06,882 - lightrag - INFO - edge_degree:query:MATCH (n1:`MARKET-TOWN`)-[r]-(n2:`SCROOGE`) - RETURN count(r) AS degree:result:1 -2024-10-30 06:54:06,972 - lightrag - INFO - edge_degree:query:MATCH (n1:`BOB CRATCHIT`)-[r]-(n2:`EBENEZER SCROOGE`) - RETURN count(r) AS degree:result:1 -2024-10-30 06:54:07,064 - lightrag - INFO - edge_degree:query:MATCH (n1:`CAMDEN TOWN`)-[r]-(n2:`SCROOGE`) - RETURN count(r) AS degree:result:1 -2024-10-30 06:54:07,156 - lightrag - INFO - edge_degree:query:MATCH (n1:`CHILD`)-[r]-(n2:`SCROOGE`) - RETURN count(r) AS degree:result:1 -2024-10-30 06:54:07,253 - lightrag - INFO - edge_degree:query:MATCH (n1:`BOB CRATCHIT`)-[r]-(n2:`MARTHA`) - RETURN count(r) AS degree:result:1 -2024-10-30 06:54:07,350 - lightrag - INFO - edge_degree:query:MATCH (n1:`SCROOGE`)-[r]-(n2:`THE GHOST OF CHRISTMAS YET TO COME`) - RETURN count(r) AS degree:result:1 -2024-10-30 06:54:07,447 - lightrag - INFO - edge_degree:query:MATCH (n1:`SCROOGE`)-[r]-(n2:`THE PHANTOM`) - RETURN count(r) AS degree:result:1 -2024-10-30 06:54:07,541 - lightrag - INFO - edge_degree:query:MATCH (n1:`SPIRIT`)-[r]-(n2:`WANT`) - RETURN count(r) AS degree:result:1 -2024-10-30 06:54:07,633 - lightrag - INFO - edge_degree:query:MATCH (n1:`CHRISTMAS`)-[r]-(n2:`PEOPLE`) - RETURN count(r) AS degree:result:1 -2024-10-30 06:54:07,724 - lightrag - INFO - edge_degree:query:MATCH (n1:`FRIDAY`)-[r]-(n2:`SCROOGE`) - RETURN count(r) AS degree:result:1 -2024-10-30 06:54:07,814 - lightrag - INFO - edge_degree:query:MATCH (n1:`MARLEY`)-[r]-(n2:`THE GHOST`) - RETURN count(r) AS degree:result:1 -2024-10-30 06:54:07,907 - lightrag - INFO - edge_degree:query:MATCH (n1:`BOB CRATCHIT`)-[r]-(n2:`THE COUNTING-HOUSE CLERK`) - RETURN count(r) AS degree:result:1 -2024-10-30 06:54:08,003 - lightrag - INFO - edge_degree:query:MATCH (n1:`FROST`)-[r]-(n2:`SCROOGE`) - RETURN count(r) AS degree:result:1 -2024-10-30 06:54:08,096 - lightrag - INFO - edge_degree:query:MATCH (n1:`SCROOGE`)-[r]-(n2:`THE FOUNDER OF THE FEAST`) - RETURN count(r) AS degree:result:1 -2024-10-30 06:54:08,189 - lightrag - INFO - edge_degree:query:MATCH (n1:`SCROOGE`)-[r]-(n2:`THE MEMORY`) - RETURN count(r) AS degree:result:1 -2024-10-30 06:54:08,296 - lightrag - INFO - edge_degree:query:MATCH (n1:`CHRISTMAS`)-[r]-(n2:`TURKEYS`) - RETURN count(r) AS degree:result:1 -2024-10-30 06:54:08,389 - lightrag - INFO - edge_degree:query:MATCH (n1:`SCROOGE`)-[r]-(n2:`THE MOURNING DRESS`) - RETURN count(r) AS degree:result:1 -2024-10-30 06:54:08,482 - lightrag - INFO - edge_degree:query:MATCH (n1:`BOB CRATCHIT`)-[r]-(n2:`MR. SCROOGE'S NEPHEW`) - RETURN count(r) AS degree:result:1 -2024-10-30 06:54:08,576 - lightrag - INFO - edge_degree:query:MATCH (n1:`MR. FEZZIWIG`)-[r]-(n2:`SCROOGE`) - RETURN count(r) AS degree:result:1 -2024-10-30 06:54:08,666 - lightrag - INFO - edge_degree:query:MATCH (n1:`SCROOGE`)-[r]-(n2:`SMOKING BISHOP`) - RETURN count(r) AS degree:result:1 -2024-10-30 06:54:08,759 - lightrag - INFO - edge_degree:query:MATCH (n1:`HOSPITAL`)-[r]-(n2:`SPIRIT`) - RETURN count(r) AS degree:result:1 -2024-10-30 06:54:08,853 - lightrag - INFO - edge_degree:query:MATCH (n1:`THE GHOST`)-[r]-(n2:`THE SPIRIT`) - RETURN count(r) AS degree:result:1 -2024-10-30 06:54:08,946 - lightrag - INFO - edge_degree:query:MATCH (n1:`SCROOGE`)-[r]-(n2:`THE COUNTING-HOUSE`) - RETURN count(r) AS degree:result:1 -2024-10-30 06:54:09,039 - lightrag - INFO - edge_degree:query:MATCH (n1:`DARKNESS`)-[r]-(n2:`SCROOGE`) - RETURN count(r) AS degree:result:1 -2024-10-30 06:54:09,131 - lightrag - INFO - edge_degree:query:MATCH (n1:`CHRISTMAS`)-[r]-(n2:`SCROOGE`) - RETURN count(r) AS degree:result:1 -2024-10-30 06:54:09,220 - lightrag - INFO - edge_degree:query:MATCH (n1:`DEATH`)-[r]-(n2:`THE FUTURE`) - RETURN count(r) AS degree:result:1 -2024-10-30 06:54:09,309 - lightrag - INFO - edge_degree:query:MATCH (n1:`SCROOGE`)-[r]-(n2:`THE FOG AND FROST`) - RETURN count(r) AS degree:result:1 -2024-10-30 06:54:09,402 - lightrag - INFO - edge_degree:query:MATCH (n1:`SCROOGE`)-[r]-(n2:`THE WINE-MERCHANT'S CELLAR`) - RETURN count(r) AS degree:result:1 -2024-10-30 06:54:09,501 - lightrag - INFO - edge_degree:query:MATCH (n1:`SCROOGE`)-[r]-(n2:`THE CITY`) - RETURN count(r) AS degree:result:1 -2024-10-30 06:54:09,600 - lightrag - INFO - edge_degree:query:MATCH (n1:`SCROOGE`)-[r]-(n2:`THE PRIME OF LIFE`) - RETURN count(r) AS degree:result:1 -2024-10-30 06:54:09,692 - lightrag - INFO - edge_degree:query:MATCH (n1:`SCROOGE`)-[r]-(n2:`THE PAST`) - RETURN count(r) AS degree:result:1 -2024-10-30 06:54:09,785 - lightrag - INFO - edge_degree:query:MATCH (n1:`SCROOGE`)-[r]-(n2:`THE REGISTER`) - RETURN count(r) AS degree:result:1 -2024-10-30 06:54:09,878 - lightrag - INFO - edge_degree:query:MATCH (n1:`BOB CRATCHIT`)-[r]-(n2:`MARTHA CRATCHIT`) - RETURN count(r) AS degree:result:1 -2024-10-30 06:54:09,970 - lightrag - INFO - edge_degree:query:MATCH (n1:`MARTHA`)-[r]-(n2:`THE LORD`) - RETURN count(r) AS degree:result:1 -2024-10-30 06:54:10,061 - lightrag - INFO - edge_degree:query:MATCH (n1:`SCROOGE`)-[r]-(n2:`THE PARROT`) - RETURN count(r) AS degree:result:1 -2024-10-30 06:54:10,154 - lightrag - INFO - edge_degree:query:MATCH (n1:`CRATCHIT FAMILY`)-[r]-(n2:`TINY TIM`) - RETURN count(r) AS degree:result:1 -2024-10-30 06:54:10,245 - lightrag - INFO - edge_degree:query:MATCH (n1:`MANSION`)-[r]-(n2:`THE GHOST`) - RETURN count(r) AS degree:result:1 -2024-10-30 06:54:10,336 - lightrag - INFO - edge_degree:query:MATCH (n1:`CHRISTMAS DAY`)-[r]-(n2:`CRATCHIT FAMILY`) - RETURN count(r) AS degree:result:1 -2024-10-30 06:54:10,433 - lightrag - INFO - edge_degree:query:MATCH (n1:`SCROOGE`)-[r]-(n2:`THE SCHOOLMASTER`) - RETURN count(r) AS degree:result:1 -2024-10-30 06:54:10,527 - lightrag - INFO - edge_degree:query:MATCH (n1:`THE HUSBAND`)-[r]-(n2:`THE MOTHER`) - RETURN count(r) AS degree:result:1 -2024-10-30 06:54:10,619 - lightrag - INFO - edge_degree:query:MATCH (n1:`SCROOGE`)-[r]-(n2:`WANT`) - RETURN count(r) AS degree:result:1 -2024-10-30 06:54:10,711 - lightrag - INFO - edge_degree:query:MATCH (n1:`EBENEZER SCROOGE`)-[r]-(n2:`THE CLOCK`) - RETURN count(r) AS degree:result:1 -2024-10-30 06:54:10,807 - lightrag - INFO - edge_degree:query:MATCH (n1:`SCROOGE`)-[r]-(n2:`TOPPER`) - RETURN count(r) AS degree:result:1 -2024-10-30 06:54:10,902 - lightrag - INFO - edge_degree:query:MATCH (n1:`SCROOGE`)-[r]-(n2:`THE KNOCKER`) - RETURN count(r) AS degree:result:1 -2024-10-30 06:54:10,998 - lightrag - INFO - edge_degree:query:MATCH (n1:`CHRISTMAS-TIME`)-[r]-(n2:`SCROOGE`) - RETURN count(r) AS degree:result:1 -2024-10-30 06:54:11,093 - lightrag - INFO - edge_degree:query:MATCH (n1:`BOB CRATCHIT`)-[r]-(n2:`PETER`) - RETURN count(r) AS degree:result:1 -2024-10-30 06:54:11,182 - lightrag - INFO - edge_degree:query:MATCH (n1:`MARLEY'S GHOST`)-[r]-(n2:`THE CHAIN`) - RETURN count(r) AS degree:result:1 -2024-10-30 06:54:11,271 - lightrag - INFO - edge_degree:query:MATCH (n1:`BELINDA CRATCHIT`)-[r]-(n2:`CRATCHIT FAMILY`) - RETURN count(r) AS degree:result:1 -2024-10-30 06:54:11,363 - lightrag - INFO - edge_degree:query:MATCH (n1:`RED-FACED GENTLEMAN`)-[r]-(n2:`SCROOGE`) - RETURN count(r) AS degree:result:1 -2024-10-30 06:54:11,458 - lightrag - INFO - edge_degree:query:MATCH (n1:`SCROOGE`)-[r]-(n2:`THE SITTING ROOM`) - RETURN count(r) AS degree:result:1 -2024-10-30 06:54:11,551 - lightrag - INFO - edge_degree:query:MATCH (n1:`CHRISTMAS`)-[r]-(n2:`THE LAMPLIGHTER`) - RETURN count(r) AS degree:result:1 -2024-10-30 06:54:11,642 - lightrag - INFO - edge_degree:query:MATCH (n1:`SCROOGE`)-[r]-(n2:`THE DECEASED MAN`) - RETURN count(r) AS degree:result:1 -2024-10-30 06:54:11,735 - lightrag - INFO - edge_degree:query:MATCH (n1:`SCROOGE`)-[r]-(n2:`THE CASK`) - RETURN count(r) AS degree:result:1 -2024-10-30 06:54:11,742 - lightrag - INFO - Local query uses 60 entites, 20 relations, 3 text units -2024-10-30 06:54:12,410 - lightrag - INFO - get_edge:query: - MATCH (start:`CHRISTMAS`)-[r]->(end:`SCROOGE`) - RETURN properties(r) as edge_properties - LIMIT 1 - :result:{'keywords': '"character development, festive spirit""conflict, holiday spirit""contrast, seasonal significance""disconnection, festive spirit""holiday significance, reflection""holiday significance, transformation""holiday spirit, social critique""nostalgia, reflection""reflection, redemption""rejection, festive spirit""renewal, change""seasonal significance, emotional reflection""transformation, disdain""transformation, festive spirit""transformation, holiday significance""transformation, holiday spirit"', 'weight': 169.0, 'description': '"Christmas becomes a focal point for Scrooge\'s promise to change and embrace life, symbolizing hope and renewal.""Christmas is a central theme that invokes Scrooge\'s memories of his past, his feelings of loneliness, and his desire to connect.""Christmas serves as a focal point for Scrooge\'s emotional reflections on joy and his disconnect from societal celebrations.""Christmas serves as the catalyst for Scrooge\'s transformation, highlighting themes of giving and compassion.""Scrooge expresses disdain for Christmas, viewing it as a burden rather than a celebration.""Scrooge\'s attitude towards Christmas highlights his disconnection from the festive spirit and charity associated with the holiday.""Scrooge\'s character contrasts sharply with the joy of Christmas, highlighting his disdain for the festive season.""Scrooge\'s experience during the Christmas event highlights the transformation of his character and the spirit of the holiday.""Scrooge\'s journey with the Spirit ultimately leads him to reflect on the meaning of Christmas and its impact on human connections.""Scrooge\'s transformation and newfound joy are directly linked to the spirit of Christmas.""Scrooge\'s transformation is centered around the spirit of Christmas, which he learns to embrace and celebrate.""Scrooge\'s views on Christmas evolve as he witnesses the joy and familial love associated with the holiday, marking a shift in his character.""Scrooge reflects on Christmas with a mix of emotions, highlighting its importance in his life and character arc.""Scrooge\'s attitude towards Christmas is one of disdain, setting the stage for his eventual transformation as he confronts the meaning of the holiday.""Scrooge\'s involvement in the Christmas activities represents a significant moment of change in his character, as he becomes more engaged and merry.""Scrooge\'s refusal to celebrate Christmas reflects his overall attitude towards generosity and societal obligations during this festive time.""Scrooge\'s rejection of Christmas embodies his overall discord with the spirit of the holiday, viewing it as a time of financial burden instead of joy.""Scrooge\'s transformation is closely linked to the celebration of Christmas, highlighting themes of giving and joy.""Scrooge\'s transformation is closely tied to the spirit of Christmas, marking a significant personal change during this event."', 'source_id': 'chunk-43c9bee23adfa77aa9dedd22401bba7dchunk-74e2466de2f67fd710ef2f20c0a8d9e0chunk-89777b838d5447c7bd1ec11282c4ee89chunk-e7637ff18c5ded77a68cce0a87883fadchunk-da2472b4ef2a535b62908f14d0fb0ca9chunk-90d5764e301321c087f5a8f78b73a145chunk-91614df5cb74cbe5e109a338a82041e9chunk-91572b3cd42786ba4cb2f180ca25cbf4chunk-8f738cb25d60a7dab782162d9d0a25edchunk-94bea83e7153fc2064aa382b494936a1chunk-54bdd22db1f84a965b5f4c06c9216d8dchunk-8590d9263cd2cd4fa583c432fc54e6c3chunk-99b0ec7f7e006561352b5d65e849611d'} -2024-10-30 06:54:12,504 - lightrag - INFO - get_edge:query: - MATCH (start:`THE CANDLE`)-[r]->(end:`THE FOG AND FROST`) - RETURN properties(r) as edge_properties - LIMIT 1 - :result:{'keywords': '"hope, contrast"', 'weight': 12.0, 'description': '"The Candle symbolizes a flicker of warmth and hope in the bleak setting of Fog and Frost, contrasting the overall atmosphere."', 'source_id': 'chunk-d9aac3484185ac66045df92214d245d5'} -2024-10-30 06:54:12,596 - lightrag - INFO - get_edge:query: - MATCH (start:`SCROOGE`)-[r]->(end:`THE GHOST`) - RETURN properties(r) as edge_properties - LIMIT 1 - :result:{'keywords': '"guidance, emotional exploration""guidance, transformation""memory, influence""rebuke, self-discovery""reflection, guidance""self-reflection, transformation""supernatural encounter, confusion""supernatural guidance, transformation""supernatural interaction, past actions"', 'weight': 78.0, 'description': '"Scrooge interacts with The Ghost of Jacob Marley, which highlights his struggle with the supernatural and his past actions.""Scrooge\'s engagement with The Ghost prompts a significant emotional and psychological transformation as he confronts his past.""The Ghost guides Scrooge through visions of his past, forcing him to confront his choices and their consequences.""The Ghost influences Scrooge\'s reflections on his past and his current emotions regarding Christmas festivities.""The Ghost serves as a catalyst for Scrooge\'s reflections, guiding him to confront his past and feelings about Christmas.""Scrooge\'s interaction with The Ghost leads to significant inner turmoil and contemplation about dreams and reality.""The Ghost influences Scrooge\'s journey by revealing his past, driving the narrative of his redemption.""The Ghost interacts with Scrooge, revealing truths that challenge his perspective on life and death.""The Ghost prompts Scrooge to remember significant moments, driving his emotional exploration of the past."', 'source_id': 'chunk-c7b10789a9cb0af6c553730b29bd9034chunk-43c9bee23adfa77aa9dedd22401bba7dchunk-da2472b4ef2a535b62908f14d0fb0ca9chunk-cb661c37436355ccec2769b1d0350c5fchunk-54bdd22db1f84a965b5f4c06c9216d8dchunk-8590d9263cd2cd4fa583c432fc54e6c3chunk-83ac129dc9b56f84c46760d153d68e93'} -2024-10-30 06:54:12,685 - lightrag - INFO - get_edge:query: - MATCH (start:`MARLEY`)-[r]->(end:`SCROOGE`) - RETURN properties(r) as edge_properties - LIMIT 1 - :result:{'keywords': '"ghostly encounter, transformation""mourning, partnership""partnership, regret""past influence, personal history""past influence, regret""redemption, confrontation""reflection, theme of regret""supernatural connection, past relationships"', 'weight': 65.0, 'description': '"Marley’s influence and past relationship with Scrooge is indicated, suggesting a connection that impacts Scrooge\'s character growth.""Scrooge is deeply affected by Marley\'s death, illustrated through his role as the sole executor and mourner of Marley.""Scrooge reflects on Marley, revealing his past connection and the haunting aspect of Marley\'s death, which influences Scrooge\'s character arc.""Scrooge\'s encounter with Marley’s Ghost serves as a confrontation with his past self and the life choices he regrets, depicting the theme of redemption.""Scrooge and Marley were business partners, and Marley\'s death greatly impacts Scrooge, highlighting themes of loss and regret.""Scrooge encounters Marley’s ghost, which challenges his beliefs and signifies the start of his transformation.""Scrooge reflects on Marley\'s death, indicating the profound effect it had on his life, shaping his current perspective on generosity and the holidays.""Scrooge\'s reflection on Marley underscores the theme of regret and the potential for change in his character\'s journey."', 'source_id': 'chunk-5dac41b3f9eeaf794f0147400b1718cdchunk-89777b838d5447c7bd1ec11282c4ee89chunk-d9aac3484185ac66045df92214d245d5chunk-9c43dac2fcd5b578242d907ea6f8fc7bchunk-843b5b2f944c7413d9ca876e2e2f151f'} -2024-10-30 06:54:12,780 - lightrag - INFO - get_edge:query: - MATCH (start:`MANSION`)-[r]->(end:`SCROOGE`) - RETURN properties(r) as edge_properties - LIMIT 1 - :result:{'keywords': '"symbolism, emotional state"', 'weight': 16.0, 'description': '"The Mansion symbolizes the neglect and decay that parallels Scrooge\'s own emotional state and memories of his past."', 'source_id': 'chunk-8590d9263cd2cd4fa583c432fc54e6c3'} -2024-10-30 06:54:12,873 - lightrag - INFO - get_edge:query: - MATCH (start:`GHOST`)-[r]->(end:`SCROOGE`) - RETURN properties(r) as edge_properties - LIMIT 1 - :result:{'keywords': '"moral lesson, reflection""reflection, self-discovery""spiritual guidance, transformation"', 'weight': 26.0, 'description': '"Scrooge interacts directly with the Ghost, who aims to teach him about the errors of his ways and the importance of caring for others.""The Ghost guides Scrooge through reflections of his past, influencing his journey toward redemption.""The Ghost takes Scrooge on a journey to teach him lessons about generosity and compassion towards others."', 'source_id': 'chunk-359187e7571bda4b0b08b2e0b6581e52chunk-c6c248858d1b13ab7ee9ca13c1aeed6bchunk-e7637ff18c5ded77a68cce0a87883fad'} -2024-10-30 06:54:12,966 - lightrag - INFO - get_edge:query: - MATCH (start:`SCROOGE`)-[r]->(end:`THE MEMORY`) - RETURN properties(r) as edge_properties - LIMIT 1 - :result:{'keywords': '"reflection, impact of past"', 'weight': 16.0, 'description': '"Scrooge\'s memories play a crucial role in shaping his perspective on love and happiness as he confronts his past."', 'source_id': 'chunk-54bdd22db1f84a965b5f4c06c9216d8d'} -2024-10-30 06:54:13,060 - lightrag - INFO - get_edge:query: - MATCH (start:`SCROOGE`)-[r]->(end:`THE GHOST OF CHRISTMAS PAST`) - RETURN properties(r) as edge_properties - LIMIT 1 - :result:{'keywords': '"introspection, memory""reflection, guidance""self-reflection, guidance"', 'weight': 28.0, 'description': '"Scrooge\'s interaction with the Ghost of Christmas Past highlights his journey of self-reflection and struggle with his past decisions.""The Ghost of Christmas Past guides Scrooge through recollections, prompting his introspection about his former self and choices.""The Ghost of Christmas Past helps Scrooge reflect on his past choices, which is crucial for his transformation."', 'source_id': 'chunk-b2f98bc7abb0c67d4c86055c7fd72218chunk-90b95db5c53e4364a6bee36b7aa4d70f'} -2024-10-30 06:54:13,152 - lightrag - INFO - get_edge:query: - MATCH (start:`JACOB MARLEY`)-[r]->(end:`SCROOGE`) - RETURN properties(r) as edge_properties - LIMIT 1 - :result:{'keywords': '"catalyst for change, supernatural guidance""past influence, warning""redemption, influence""redemption, moral lesson""redemption, spiritual influence""self-reflection, legacy""supernatural encounter, past ties""transformation, influence""warning, catalyst""warning, consequence""warning, transformation"', 'weight': 98.0, 'description': '"Jacob Marley influences Scrooge\'s transformation by appearing as a spirit to warn him.""Jacob Marley is the spirit who brings forth the need for Scrooge to change his ways, impacting his character development.""Scrooge confronts Jacob Marley, his former business partner, who returns as a ghost to influence Scrooge\'s perspective on life and his actions.""Scrooge converses with the ghost of Jacob Marley, who tries to guide him toward understanding the importance of compassion and the consequences of his actions.""Scrooge interacts with Jacob Marley, who serves as a critical warning for Scrooge to change his ways before it\'s too late.""Scrooge reflects on Jacob Marley’s past warnings, which serve as a catalyst for his transformation.""Scrooge\'s transformation is prompted by the appearance and message of Jacob Marley, his former business partner.""Jacob Marley warns Scrooge about his fate and the importance of change, acting as a catalyst for Scrooge\'s transformation.""Scrooge acknowledges Jacob Marley, recognizing his former business partner\'s lost opportunities and the implications for his own life.""Scrooge is visited by Jacob Marley, who warns him about his fate and the necessity for personal change to avoid a bleak future.""Scrooge\'s transformation is influenced by Jacob Marley\'s ghost, who represents the consequences of a life poorly lived."', 'source_id': 'chunk-90b95db5c53e4364a6bee36b7aa4d70fchunk-359187e7571bda4b0b08b2e0b6581e52chunk-da2472b4ef2a535b62908f14d0fb0ca9chunk-02baee20cc9463dbe08170a8e1043e32chunk-1aa50206d02ed89418f65f97c6441d1cchunk-91572b3cd42786ba4cb2f180ca25cbf4chunk-cb661c37436355ccec2769b1d0350c5f'} -2024-10-30 06:54:13,243 - lightrag - INFO - get_edge:query: - MATCH (start:`THE CRATCHIT HOUSEHOLD`)-[r]->(end:`THE SUBURBS`) - RETURN properties(r) as edge_properties - LIMIT 1 - :result:{'keywords': '"social commentary, inequality"', 'weight': 12.0, 'description': '"The Suburbs illustrate the challenges faced by families like The Cratchit Household, emphasizing social inequality."', 'source_id': 'chunk-b0f459f5af1c3a5e0b92cbe4ee48b77b'} -2024-10-30 06:54:13,335 - lightrag - INFO - get_edge:query: - MATCH (start:`CHRISTMAS`)-[r]->(end:`THE SPIRIT`) - RETURN properties(r) as edge_properties - LIMIT 1 - :result:{'keywords': '"holiday spirit, compassion""seasonal influence, moral reflection"', 'weight': 34.0, 'description': '"The Spirit connects various scenes to the theme of Christmas, emphasizing its impact on individuals’ attitudes and behaviors.""The Spirit connects various scenes to the theme of Christmas, emphasizing its impact on individuals’ attitudes and behaviors.""The Spirit\'s appearances highlight the themes of Christmas and the importance of compassion and community.""The Spirit\'s appearances highlight the themes of Christmas and the importance of compassion and community."', 'source_id': 'chunk-91614df5cb74cbe5e109a338a82041e9chunk-da2472b4ef2a535b62908f14d0fb0ca9'} -2024-10-30 06:54:13,426 - lightrag - INFO - get_edge:query: - MATCH (start:`JOE`)-[r]->(end:`THE WOMAN`) - RETURN properties(r) as edge_properties - LIMIT 1 - :result:{'keywords': '"conversational dynamics, materialism""dialogue, humor, death""humor, interaction""social interaction, community dynamics"', 'weight': 23.0, 'description': '"Joe and The Woman are engaged in a discussion about the deceased man’s belongings, illustrating their shared perspective on material possessions.""Joe and The Woman engage in a conversation, highlighting community dynamics and common social interactions among friends or acquaintances.""Joe and The Woman engage in dialogue about the deceased\'s belongings, showcasing their interactions and differing attitudes towards death.""Joe and The Woman share a humorous exchange about the bed-curtains, reflecting the jovial spirit of the gathering."', 'source_id': 'chunk-e1f29eeadc1d8ab46dc8a0bbd3c56b64chunk-89777b838d5447c7bd1ec11282c4ee89'} -2024-10-30 06:54:13,523 - lightrag - INFO - get_edge:query: - MATCH (start:`SCROOGE`)-[r]->(end:`SCROOGE'S NIECE`) - RETURN properties(r) as edge_properties - LIMIT 1 - :result:{'keywords': '"family bonds, celebration""family conflict, holiday spirit""family dynamics, transformation""ideological conflict, family dynamics"', 'weight': 30.0, 'description': '"Scrooge observes his niece enjoying the Christmas festivities, which influences his own mood and perspective towards the holiday spirit.""Scrooge\'s Niece expresses indignation towards Scrooge\'s belief that Christmas is a humbug, demonstrating her strong opinions against his views.""Scrooge\'s niece embraces the joyful atmosphere of the celebration, engaging with family and inviting good-natured fun.""Scrooge\'s Niece shows indignation toward Scrooge\'s negativity about Christmas, highlighting the familial tensions between them."', 'source_id': 'chunk-773d0df1dd25c356f7b771d780583e09chunk-43c9bee23adfa77aa9dedd22401bba7d'} -2024-10-30 06:54:13,616 - lightrag - INFO - get_edge:query: - MATCH (start:`SCROOGE`)-[r]->(end:`THE CITY`) - RETURN properties(r) as edge_properties - LIMIT 1 - :result:{'keywords': '"disconnection, personal evolution""reflection, urban life""transformation, community""urban setting, contrast"', 'weight': 26.0, 'description': '"Scrooge\'s reflections in the City highlight his relationship with his past and the contrast of his current life.""Scrooge\'s relationship with The City is marked by detachment, representing his lost connection to his past self and experiences.""Scrooge\'s transformation impacts The City as he learns to embrace Christmas spirit and generosity within his community.""The City serves as a backdrop for Scrooge\'s memories, contrasting the vibrant life he once had with his current isolation."', 'source_id': 'chunk-c6c248858d1b13ab7ee9ca13c1aeed6bchunk-94bea83e7153fc2064aa382b494936a1chunk-bb21d58d36c6306fd8810ddd51c4a971'} -2024-10-30 06:54:13,707 - lightrag - INFO - get_edge:query: - MATCH (start:`GHOST`)-[r]->(end:`SPECTRE`) - RETURN properties(r) as edge_properties - LIMIT 1 - :result:{'keywords': '"identity, motivation"', 'weight': 20.0, 'description': '"The Spectre is synonymous with the Ghost, representing the collective spirit urging Scrooge to change his ways."', 'source_id': 'chunk-359187e7571bda4b0b08b2e0b6581e52'} -2024-10-30 06:54:13,799 - lightrag - INFO - get_edge:query: - MATCH (start:`SCROOGE`)-[r]->(end:`SPIRIT`) - RETURN properties(r) as edge_properties - LIMIT 1 - :result:{'keywords': '"guidance, emotional journey""guidance, personal growth""guidance, reflection""guidance, transformation""personal growth, spiritual journey""reflection, guidance""transformation, mentorship"', 'weight': 74.0, 'description': '"Scrooge engages with the Spirit, who guides him through reflections on his life and warns him of societal issues.""Scrooge learns from the Spirit about the consequences of his actions and the sentiments evoked by death, leading to personal growth.""Scrooge’s interaction with the Spirit emphasizes the emotional weight of his past decisions and feelings as they relate to his transformation.""The Spirit directly influences Scrooge’s transformation and highlights the importance of compassion in human life.""Scrooge interacts with the Spirit, who has come to teach him about the meaning of Christmas and share lessons of generosity.""Scrooge is guided by the Spirit to reflect on the impact of death, learning important lessons about life and legacy.""Scrooge is guided by the Spirit, who prompts him to reflect on his life and its consequences.""Scrooge\'s interactions with the Spirit serve to illuminate his past and its influence on his current self.""The Spirit serves as a guide for Scrooge, showing him visions that lead to his personal transformation and moral awakening."', 'source_id': 'chunk-e7637ff18c5ded77a68cce0a87883fadchunk-02baee20cc9463dbe08170a8e1043e32chunk-83ac129dc9b56f84c46760d153d68e93chunk-843b5b2f944c7413d9ca876e2e2f151fchunk-bb21d58d36c6306fd8810ddd51c4a971'} -2024-10-30 06:54:13,897 - lightrag - INFO - get_edge:query: - MATCH (start:`MARLEY'S FUNERAL`)-[r]->(end:`SCROOGE`) - RETURN properties(r) as edge_properties - LIMIT 1 - :result:{'keywords': '"loss, character journey"', 'weight': 18.0, 'description': '"Marley\'s Funeral signifies the beginning of Scrooge\'s emotional journey, showcasing his reaction to loss and setting the stage for the narrative."', 'source_id': 'chunk-89777b838d5447c7bd1ec11282c4ee89'} -2024-10-30 06:54:13,991 - lightrag - INFO - get_edge:query: - MATCH (start:`IGNORANCE`)-[r]->(end:`SPIRIT`) - RETURN properties(r) as edge_properties - LIMIT 1 - :result:{'keywords': '"social issues, awareness""social warning, awareness"', 'weight': 30.0, 'description': '"The Spirit introduces Ignorance to Scrooge as a representation of societal failures, urging him to acknowledge and address these issues.""The Spirit introduces Ignorance to Scrooge as a representation of societal failures, urging him to acknowledge and address these issues.""The Spirit points out Ignorance, highlighting the need for awareness and responsibility toward societal issues.""The Spirit points out Ignorance, highlighting the need for awareness and responsibility toward societal issues."', 'source_id': 'chunk-02baee20cc9463dbe08170a8e1043e32chunk-e7637ff18c5ded77a68cce0a87883fad'} -2024-10-30 06:54:14,084 - lightrag - INFO - get_edge:query: - MATCH (start:`SCROOGE`)-[r]->(end:`THE SPIRIT`) - RETURN properties(r) as edge_properties - LIMIT 1 - :result:{'keywords': '"guidance, self-reflection""guidance, transformation""introspection, guidance""moral guidance, change""moral guidance, transformation""self-reflection, transformation""supernatural guidance, self-reflection""supernatural intervention, guidance"', 'weight': 93.0, 'description': '"Scrooge engages with the Spirit as it reveals memories that prompt significant self-reflection and consideration of change.""Scrooge is guided by the Spirit, who shows him different scenes related to the joy and struggles of Christmas, aiming to change his heart.""The Spirit challenges Scrooge\'s perspective on life, urging him to consider the implications of his actions in light of death.""The Spirit represents an upcoming change in Scrooge\'s life, aiming to guide him towards redemption.""The Spirit represents moral lessons and urges Scrooge to change his ways for a better future.""Scrooge\'s interaction with The Spirit serves as a pivotal moment for him to reflect on his past decisions and seek wisdom.""The Spirit guides Scrooge through his memories, facilitating his emotional journey and transformation.""The Spirit interacts with Scrooge, guiding him to confront his past and future, emphasizing change and moral growth.""The Spirit is guiding Scrooge through different scenes, aiming to transform his character and perspective on life.""The Spirit serves as the medium for Scrooge\'s journey of self-discovery and accountability."', 'source_id': 'chunk-da2472b4ef2a535b62908f14d0fb0ca9chunk-e1f29eeadc1d8ab46dc8a0bbd3c56b64chunk-91614df5cb74cbe5e109a338a82041e9chunk-91572b3cd42786ba4cb2f180ca25cbf4chunk-f1a4fbcf1ed86864b9bfd5e8dba4c683chunk-8590d9263cd2cd4fa583c432fc54e6c3chunk-b2f98bc7abb0c67d4c86055c7fd72218'} -2024-10-30 06:54:14,174 - lightrag - INFO - get_edge:query: - MATCH (start:`CLOCK`)-[r]->(end:`SCROOGE`) - RETURN properties(r) as edge_properties - LIMIT 1 - :result:{'keywords': '"time symbolism, anxiety"', 'weight': 14.0, 'description': '"Scrooge\'s observations of the Clock reflect his anxiety over time and the supernatural events unfolding around him."', 'source_id': 'chunk-c7b10789a9cb0af6c553730b29bd9034'} -2024-10-30 06:54:14,262 - lightrag - INFO - get_edge:query: - MATCH (start:`SCROOGE`)-[r]->(end:`THE GRATE`) - RETURN properties(r) as edge_properties - LIMIT 1 - :result:{'keywords': '"coldness, minimalism""isolation, setting mood"', 'weight': 12.0, 'description': '"Scrooge\'s small fire in The Grate represents his need for warmth and symbolizes his cold heart initially showing longing for comfort.""The Grate\'s cold fire adds to the bleak setting of Scrooge\'s home, illustrating his disconnection from warmth and comfort before the supernatural events unfold."', 'source_id': 'chunk-9c43dac2fcd5b578242d907ea6f8fc7b'} -2024-10-30 06:54:14,356 - lightrag - INFO - get_edge:query: - MATCH (start:`JOE`)-[r]->(end:`SCROOGE`) - RETURN properties(r) as edge_properties - LIMIT 1 - :result:{'keywords': '"perspective contrast, moral dilemma"', 'weight': 12.0, 'description': '"Joe\'s cynical attitude towards death and belongings contrasts with Scrooge\'s moral horror, creating a tension between their perspectives."', 'source_id': 'chunk-e1f29eeadc1d8ab46dc8a0bbd3c56b64'} -2024-10-30 06:54:14,456 - lightrag - INFO - get_edge:query: - MATCH (start:`SCROOGE`)-[r]->(end:`THE COUNTING-HOUSE`) - RETURN properties(r) as edge_properties - LIMIT 1 - :result:{'keywords': '"work environment, character development""work environment, emotional landscape""work environment, personality reflection"', 'weight': 20.0, 'description': '"Scrooge\'s work environment reflects his personality, being cold and uninviting, mirroring his discontent with life.""The Counting-House is where Scrooge works, illustrating the environment that shapes his bleak personality.""The Counting-House represents Scrooge\'s work environment, which is devoid of warmth, paralleling Scrooge\'s cold demeanor."', 'source_id': 'chunk-d9aac3484185ac66045df92214d245d5chunk-74e2466de2f67fd710ef2f20c0a8d9e0'} -2024-10-30 06:54:14,551 - lightrag - INFO - get_edge:query: - MATCH (start:`SCROOGE`)-[r]->(end:`THE HOUSE`) - RETURN properties(r) as edge_properties - LIMIT 1 - :result:{'keywords': '"haunting, setting influence""setting, atmosphere"', 'weight': 15.0, 'description': '"Scrooge\'s experiences and encounters with Marley occur within The House, which plays a significant role in the haunting atmosphere.""Scrooge\'s experiences with Marley\'s Ghost occur within The House, which plays a crucial role in the haunting atmosphere."', 'source_id': 'chunk-9c43dac2fcd5b578242d907ea6f8fc7b'} -2024-10-30 06:54:14,647 - lightrag - INFO - get_edge:query: - MATCH (start:`SPIRIT`)-[r]->(end:`WANT`) - RETURN properties(r) as edge_properties - LIMIT 1 - :result:{'keywords': '"social issues, need for compassion""social warning, deprivation"', 'weight': 30.0, 'description': '"The Spirit points out Want, symbolizing the dire consequences of neglecting societal needs.""The Spirit points out Want, symbolizing the dire consequences of neglecting societal needs.""The Spirit presents Want along with Ignorance, symbolizing the plight of the less fortunate and appealing for compassion.""The Spirit presents Want along with Ignorance, symbolizing the plight of the less fortunate and appealing for compassion."', 'source_id': 'chunk-02baee20cc9463dbe08170a8e1043e32chunk-e7637ff18c5ded77a68cce0a87883fad'} -2024-10-30 06:54:14,741 - lightrag - INFO - get_edge:query: - MATCH (start:`SCROOGE`)-[r]->(end:`TIM`) - RETURN properties(r) as edge_properties - LIMIT 1 - :result:{'keywords': '"familial connection, emotional depth"', 'weight': 16.0, 'description': '"Scrooge\'s connection to Tim emphasizes emotional depth, reflecting on family and lost connections as part of his character development."', 'source_id': 'chunk-89777b838d5447c7bd1ec11282c4ee89'} -2024-10-30 06:54:14,838 - lightrag - INFO - get_edge:query: - MATCH (start:`FOG`)-[r]->(end:`SCROOGE`) - RETURN properties(r) as edge_properties - LIMIT 1 - :result:{'keywords': '"atmosphere, emotional reflection""obscurity, isolation"', 'weight': 16.0, 'description': '"Fog represents the obscured vision of Scrooge\'s soul and emotions, aligning with his unknowable nature.""The fog obscures vision and symbolizes Scrooge’s cloudy outlook on life, illustrating his isolation from societal warmth."', 'source_id': 'chunk-d9aac3484185ac66045df92214d245d5chunk-74e2466de2f67fd710ef2f20c0a8d9e0'} -2024-10-30 06:54:14,931 - lightrag - INFO - get_edge:query: - MATCH (start:`SCROOGE`)-[r]->(end:`THE CORPSE`) - RETURN properties(r) as edge_properties - LIMIT 1 - :result:{'keywords': '"introspection, life choices"', 'weight': 18.0, 'description': '"Scrooge’s horror upon seeing The Corpse prompts deep reflection on his own life choices and morality."', 'source_id': 'chunk-e1f29eeadc1d8ab46dc8a0bbd3c56b64'} -2024-10-30 06:54:15,030 - lightrag - INFO - get_edge:query: - MATCH (start:`SCROOGE`)-[r]->(end:`TINY TIM`) - RETURN properties(r) as edge_properties - LIMIT 1 - :result:{'keywords': '"generosity, familial love""innocence, hope""personal transformation, empathy""reflection, transformation""transformation, holiday spirit""transformation, mentorship""transformation, redemption"', 'weight': 67.0, 'description': '"Scrooge becomes a father figure to Tiny Tim, showing a deep commitment to his well-being after realizing the importance of family and caring for others.""Scrooge reflects on Tiny Tim and expresses concern for his wellbeing, indicating a pivotal change in his character and attitudes towards the less fortunate.""Scrooge\'s transformation is influenced by his reflections on the impact of Tiny Tim\'s life and death.""Scrooge becomes emotionally affected by Tiny Tim\'s situation, leading him to reflect on his past words and actions regarding the welfare of others.""Scrooge expresses a newfound joy during Christmas, indicating a change in attitude towards the spirit symbolized by Tiny Tim.""Scrooge reflects on Tiny Tim\'s essence and the impact of his potential death, considering how it could prompt him to change his ways.""Scrooge\'s intention to send a large turkey to Bob Cratchit\'s family, particularly to Tiny Tim, shows his emotional connection and desire to help.""Tiny Tim is affected by the family\'s feelings towards Scrooge, and he embodies the hope for joy despite Scrooge\'s unkind nature."', 'source_id': 'chunk-90b95db5c53e4364a6bee36b7aa4d70fchunk-19d72c57ae3408758b18d2568e86dc6bchunk-503f0bfa5453467c7c61d160a3540ecachunk-91572b3cd42786ba4cb2f180ca25cbf4chunk-8f738cb25d60a7dab782162d9d0a25edchunk-94bea83e7153fc2064aa382b494936a1'} -2024-10-30 06:54:15,125 - lightrag - INFO - get_edge:query: - MATCH (start:`CHILD`)-[r]->(end:`SCROOGE`) - RETURN properties(r) as edge_properties - LIMIT 1 - :result:{'keywords': '"self-reflection, past connection"', 'weight': 16.0, 'description': '"Scrooge sees his younger self in the solitary child, sparking deep emotional reflections about his past and choices."', 'source_id': 'chunk-8590d9263cd2cd4fa583c432fc54e6c3'} -2024-10-30 06:54:15,221 - lightrag - INFO - get_edge:query: - MATCH (start:`GHOST OF CHRISTMAS PAST`)-[r]->(end:`SCROOGE`) - RETURN properties(r) as edge_properties - LIMIT 1 - :result:{'keywords': '"reflection, guidance""reflection, past influence""reflection, transformation"', 'weight': 25.0, 'description': '"Scrooge engages with the Ghost of Christmas Past to explore and reflect on his life and choices.""Scrooge engages with the Ghost of Christmas Past to explore his earlier life, seeking insight into his current state.""The Ghost of Christmas Past shows Scrooge experiences from his life that prompt his transformation."', 'source_id': 'chunk-9e3921da66da5d761ab73cd849af6c43chunk-bb21d58d36c6306fd8810ddd51c4a971'} -2024-10-30 06:54:15,312 - lightrag - INFO - get_edge:query: - MATCH (start:`CHRISTMAS EVE`)-[r]->(end:`SCROOGE`) - RETURN properties(r) as edge_properties - LIMIT 1 - :result:{'keywords': '"holiday spirit, character development"', 'weight': 16.0, 'description': '"Scrooge\'s actions and attitudes towards Christmas Eve highlight his disdain for traditional celebrations, setting the tone for his character arc."', 'source_id': 'chunk-d9aac3484185ac66045df92214d245d5'} -2024-10-30 06:54:15,409 - lightrag - INFO - get_edge:query: - MATCH (start:`MARLEY'S GHOST`)-[r]->(end:`SCROOGE`) - RETURN properties(r) as edge_properties - LIMIT 1 - :result:{'keywords': '"confrontation, supernatural experience""reflection, consequence""supernatural confrontation, regret""supernatural encounter, existential crisis""warning, fate"', 'weight': 43.0, 'description': '"Marley\'s Ghost warns Scrooge about the consequences of his actions and the visits of the three spirits, setting the stage for his transformation.""Scrooge is haunted by Marley\'s Ghost, which confronts him as a part of a supernatural occurrence meant to incite fear and reflection on his life choices.""Scrooge is confronted by Marley\'s Ghost, representing the struggle between his disbelief and the ghost\'s insistence on showing the consequences of Scrooge\'s life choices.""Scrooge is directly confronted by Marley\'s Ghost, leading to confusion and existential questioning on his part.""Scrooge reacts to Marley\'s Ghost, reflecting on his past as he is warned about the consequences of his actions."', 'source_id': 'chunk-c7b10789a9cb0af6c553730b29bd9034chunk-9c43dac2fcd5b578242d907ea6f8fc7bchunk-cb661c37436355ccec2769b1d0350c5fchunk-1aa50206d02ed89418f65f97c6441d1c'} -2024-10-30 06:54:15,502 - lightrag - INFO - get_edge:query: - MATCH (start:`CHRISTMAS HOLIDAYS`)-[r]->(end:`SCROOGE`) - RETURN properties(r) as edge_properties - LIMIT 1 - :result:{'keywords': '"transformation, significance of time"', 'weight': 16.0, 'description': '"Christmas Holidays are integral to Scrooge\'s journey, representing the time of year that prompts his change and reinstates joy."', 'source_id': 'chunk-e7637ff18c5ded77a68cce0a87883fad'} -2024-10-30 06:54:15,599 - lightrag - INFO - get_edge:query: - MATCH (start:`JACOB`)-[r]->(end:`SCROOGE`) - RETURN properties(r) as edge_properties - LIMIT 1 - :result:{'keywords': '"past reflections, moral lesson""reflection, past relationship"', 'weight': 16.0, 'description': '"Scrooge reflects on his past relationship with Jacob, influenced by feelings of guilt and loss after Jacob\'s death.""Scrooge reflects on his relationship with Jacob, understanding the past implications of his death for his own future."', 'source_id': 'chunk-f1a4fbcf1ed86864b9bfd5e8dba4c683'} -2024-10-30 06:54:15,692 - lightrag - INFO - get_edge:query: - MATCH (start:`ALI BABA`)-[r]->(end:`ROBIN CRUSOE`) - RETURN properties(r) as edge_properties - LIMIT 1 - :result:{'keywords': '"literary connection, childhood memories"', 'weight': 14.0, 'description': '"Both Ali Baba and Robin Crusoe represent figures from stories that shaped Scrooge\'s childhood memories and sentiments towards Christmas."', 'source_id': 'chunk-8590d9263cd2cd4fa583c432fc54e6c3'} -2024-10-30 06:54:15,789 - lightrag - INFO - get_edge:query: - MATCH (start:`CITY`)-[r]->(end:`SPIRIT`) - RETURN properties(r) as edge_properties - LIMIT 1 - :result:{'keywords': '"atmospheric change, reality"', 'weight': 12.0, 'description': '"The Spirit’s presence affects the atmosphere of the City, showcasing the stark realities of life and death surrounding Scrooge."', 'source_id': 'chunk-02baee20cc9463dbe08170a8e1043e32'} -2024-10-30 06:54:15,883 - lightrag - INFO - get_edge:query: - MATCH (start:`CAROLINE`)-[r]->(end:`HOPE`) - RETURN properties(r) as edge_properties - LIMIT 1 - :result:{'keywords': '"emotional resilience, motivation"', 'weight': 16.0, 'description': '"Hope influences Caroline\'s reactions and actions throughout the story, serving as both a motivator and a source of inner conflict."', 'source_id': 'chunk-83ac129dc9b56f84c46760d153d68e93'} -2024-10-30 06:54:15,978 - lightrag - INFO - get_edge:query: - MATCH (start:`CHILD`)-[r]->(end:`THE SPIRIT`) - RETURN properties(r) as edge_properties - LIMIT 1 - :result:{'keywords': '"remembrance, neglect"', 'weight': 16.0, 'description': '"The Spirit points Scrooge to the Child, emphasizing themes of neglect, remembrance, and the importance of past experiences."', 'source_id': 'chunk-8590d9263cd2cd4fa583c432fc54e6c3'} -2024-10-30 06:54:16,079 - lightrag - INFO - get_edge:query: - MATCH (start:`GRAVE`)-[r]->(end:`SCROOGE`) - RETURN properties(r) as edge_properties - LIMIT 1 - :result:{'keywords': '"mortality, reflection"', 'weight': 20.0, 'description': '"Scrooge is confronted with his own grave, symbolizing the ultimate outcome of his current lifestyle and actions."', 'source_id': 'chunk-91572b3cd42786ba4cb2f180ca25cbf4'} -2024-10-30 06:54:16,169 - lightrag - INFO - get_edge:query: - MATCH (start:`CHURCH`)-[r]->(end:`SCROOGE`) - RETURN properties(r) as edge_properties - LIMIT 1 - :result:{'keywords': '"community, contrast"', 'weight': 16.0, 'description': '"The church symbolizes the community and settings of Scrooge\'s past, highlighting the contrast between then and now."', 'source_id': 'chunk-bb21d58d36c6306fd8810ddd51c4a971'} -2024-10-30 06:54:16,265 - lightrag - INFO - get_edge:query: - MATCH (start:`SCROOGE`)-[r]->(end:`THE DECEASED MAN`) - RETURN properties(r) as edge_properties - LIMIT 1 - :result:{'keywords': '"moral reflection, consequence"', 'weight': 18.0, 'description': '"Scrooge reflects on the life and death of The Deceased Man, prompting introspection about his own life choices."', 'source_id': 'chunk-e1f29eeadc1d8ab46dc8a0bbd3c56b64'} -2024-10-30 06:54:16,362 - lightrag - INFO - get_edge:query: - MATCH (start:`MARTHA CRATCHIT`)-[r]->(end:`THE COUNTESS`) - RETURN properties(r) as edge_properties - LIMIT 1 - :result:{'keywords': '"social aspirations, class contrast"', 'weight': 10.0, 'description': '"Martha’s mention of having seen the Countess represents her connection to higher social circles and dreams beyond her current situation."', 'source_id': 'chunk-19d72c57ae3408758b18d2568e86dc6b'} -2024-10-30 06:54:16,454 - lightrag - INFO - get_edge:query: - MATCH (start:`BOB CRATCHIT`)-[r]->(end:`TINY TIM`) - RETURN properties(r) as edge_properties - LIMIT 1 - :result:{'keywords': '"family bond, care""family bond, father-son relationship""family bond, love""family love, vulnerability""family, care""family, caregiving""family, love struggles""family, struggle""family, support""father-son bond, care""father-son relationship, care""parental love, sorrow""parenting, hope"', 'weight': 119.0, 'description': '"Bob Cratchit deeply cares for Tiny Tim, demonstrating emotional support and love, especially in moments of distress.""Bob Cratchit expresses love and concern for his son Tiny Tim during the Christmas dinner, highlighting a strong familial bond.""Bob Cratchit is Tiny Tim\'s father, and the turkey Scrooge plans to send will impact Tiny Tim\'s well-being.""Bob Cratchit is Tiny Tim\'s father, and their relationship highlights the theme of family struggle and love, especially during Christmas.""Bob Cratchit shows deep care for Tiny Tim, helping him and expressing pride in his strength and character despite challenges.""Bob Cratchit\'s concern for Tiny Tim illustrates the deep familial love and the challenges facing the Cratchit family.""Bob Cratchit is a father figure to Tiny Tim, who carries both hope and concern for his child\'s future health and well-being.""Bob Cratchit is the father of Tiny Tim, showcasing familial love and challenges faced by the Cratchit family.""Bob Cratchit is the father of Tiny Tim, showing the importance of family dynamics and care in their lives.""Bob Cratchit shows affection for Tiny Tim, often expressing concern for his health and trying to keep him close during the Christmas celebration.""Bob Cratchit shows deep care for Tiny Tim, supporting him and expressing pride in his resilience, especially regarding Tiny Tim\'s reflective thoughts on Christmas.""Bob Cratchit shows deep concern and love for his son, Tiny Tim, highlighting the family dynamics and attachment in their household.""Bob Cratchit shows deep love and sorrow for Tiny Tim, reflecting a father\'s bond with his child.""Bob is the father of Tiny Tim, who requires support and care, emphasizing themes of family and responsibility."', 'source_id': 'chunk-90b95db5c53e4364a6bee36b7aa4d70fchunk-503f0bfa5453467c7c61d160a3540ecachunk-91572b3cd42786ba4cb2f180ca25cbf4chunk-9e3921da66da5d761ab73cd849af6c43chunk-94bea83e7153fc2064aa382b494936a1chunk-83ac129dc9b56f84c46760d153d68e93chunk-7e2e7ebcc19a53b399dc03aded4743e7chunk-1d4b58de5429cd1261370c231c8673e8'} -2024-10-30 06:54:16,548 - lightrag - INFO - get_edge:query: - MATCH (start:`SCROOGE`)-[r]->(end:`THE WINDOW`) - RETURN properties(r) as edge_properties - LIMIT 1 - :result:{'keywords': '"curiosity, fear"', 'weight': 10.0, 'description': '"Scrooge approaches The Window, which acts as a portal to the outside world and the supernatural, illustrating his curiosity and fear."', 'source_id': 'chunk-cb661c37436355ccec2769b1d0350c5f'} -2024-10-30 06:54:16,640 - lightrag - INFO - get_edge:query: - MATCH (start:`SCROOGE`)-[r]->(end:`THE GHOST OF CHRISTMAS YET TO COME`) - RETURN properties(r) as edge_properties - LIMIT 1 - :result:{'keywords': '"consequence, introspection""consequences, change""consequences, fear""guidance, self-confrontation"', 'weight': 39.0, 'description': '"The Ghost guides Scrooge to confront his potential future that threatens his existence.""The Ghost is critical in revealing the consequences of Scrooge\'s life choices, pushing for change.""The Ghost of Christmas Yet to Come presents Scrooge with a vision of his possible future, instilling fear and prompting change.""The Ghost of Christmas Yet to Come shows Scrooge the consequences of his life choices, prompting introspection and desire for change."', 'source_id': 'chunk-91572b3cd42786ba4cb2f180ca25cbf4chunk-90b95db5c53e4364a6bee36b7aa4d70f'} -2024-10-30 06:54:16,734 - lightrag - INFO - get_edge:query: - MATCH (start:`MANSION`)-[r]->(end:`THE GHOST`) - RETURN properties(r) as edge_properties - LIMIT 1 - :result:{'keywords': '"guidance, contrast"', 'weight': 18.0, 'description': '"The Ghost guides Scrooge through the Mansion, illustrating the contrast between past warmth and present decay."', 'source_id': 'chunk-8590d9263cd2cd4fa583c432fc54e6c3'} -2024-10-30 06:54:16,824 - lightrag - INFO - get_edge:query: - MATCH (start:`SCROOGE`)-[r]->(end:`THE FOG AND FROST`) - RETURN properties(r) as edge_properties - LIMIT 1 - :result:{'keywords': '"atmosphere, emotional coldness"', 'weight': 14.0, 'description': '"The Fog and Frost enveloping Scrooge\'s home reflect the chilling atmosphere of his life and his emotional coldness."', 'source_id': 'chunk-d9aac3484185ac66045df92214d245d5'} -2024-10-30 06:54:16,920 - lightrag - INFO - get_edge:query: - MATCH (start:`FEZZIWIG`)-[r]->(end:`SCROOGE`) - RETURN properties(r) as edge_properties - LIMIT 1 - :result:{'keywords': '"contrast, character foil""kindness, mentorship""mentor figure, positive influence""nostalgia, contrast""reflection, influence"', 'weight': 43.0, 'description': '"Fezziwig is a significant figure in Scrooge\'s past, illustrating a contrast between Scrooge\'s current miserly demeanor and Fezziwig\'s jovial nature.""Fezziwig represents the joyful side of business and celebration, contrasting with Scrooge\'s miserly nature and serving as a foil to Scrooge\'s character development.""Scrooge reflects positively on Fezziwig\'s past actions, acknowledging the happiness and gratitude he inspired in people.""Scrooge reminisces about Fezziwig\'s kindness during his apprenticeship, comparing his past self to his current state.""Scrooge reminisces about Fezziwig\'s ball, reflecting on the contrast between his past happiness and present isolation."', 'source_id': 'chunk-b2f98bc7abb0c67d4c86055c7fd72218chunk-c6c248858d1b13ab7ee9ca13c1aeed6bchunk-89777b838d5447c7bd1ec11282c4ee89'} -2024-10-30 06:54:17,016 - lightrag - INFO - get_edge:query: - MATCH (start:`CHRISTMAS EVES`)-[r]->(end:`SCROOGE`) - RETURN properties(r) as edge_properties - LIMIT 1 - :result:{'keywords': '"time of reflection, redemption"', 'weight': 14.0, 'description': '"Christmas Eves symbolize a critical time for self-reflection and understanding one\'s past decisions, linking to Scrooge\'s journey of redemption."', 'source_id': 'chunk-359187e7571bda4b0b08b2e0b6581e52'} -2024-10-30 06:54:17,111 - lightrag - INFO - get_edge:query: - MATCH (start:`THE CRATCHIT HOUSE`)-[r]->(end:`THE DEBT`) - RETURN properties(r) as edge_properties - LIMIT 1 - :result:{'keywords': '"financial burden, atmosphere"', 'weight': 18.0, 'description': '"The Debt looms over The Cratchit House, contributing to the emotional atmosphere and fears of its inhabitants during the story."', 'source_id': 'chunk-83ac129dc9b56f84c46760d153d68e93'} -2024-10-30 06:54:17,206 - lightrag - INFO - get_edge:query: - MATCH (start:`SPIRIT`)-[r]->(end:`THE EVENT OF DEATH`) - RETURN properties(r) as edge_properties - LIMIT 1 - :result:{'keywords': '"emotional impact, mortality"', 'weight': 16.0, 'description': '"The Spirit highlights the emotional repercussions of The Event of Death, demonstrating the profound effects on those left behind."', 'source_id': 'chunk-83ac129dc9b56f84c46760d153d68e93'} -2024-10-30 06:54:17,296 - lightrag - INFO - get_edge:query: - MATCH (start:`THE LIGHTHOUSE`)-[r]->(end:`THE WAVE`) - RETURN properties(r) as edge_properties - LIMIT 1 - :result:{'keywords': '"struggle, isolation"', 'weight': 14.0, 'description': '"The Wave\'s constant battering of the Lighthouse highlights the isolation and challenges faced by those in such remote environments."', 'source_id': 'chunk-91614df5cb74cbe5e109a338a82041e9'} -2024-10-30 06:54:17,388 - lightrag - INFO - get_edge:query: - MATCH (start:`SCROOGE`)-[r]->(end:`THE DARKNESS`) - RETURN properties(r) as edge_properties - LIMIT 1 - :result:{'keywords': '"internal struggle, unknown"', 'weight': 12.0, 'description': '"Scrooge finds himself enveloped by The Darkness, representing his internal struggle and the unknown future he faces."', 'source_id': 'chunk-cb661c37436355ccec2769b1d0350c5f'} -2024-10-30 06:54:17,483 - lightrag - INFO - get_edge:query: - MATCH (start:`SCROOGE`)-[r]->(end:`THE BEAUTIFUL YOUNG GIRL`) - RETURN properties(r) as edge_properties - LIMIT 1 - :result:{'keywords': '"nostalgia, lost love"', 'weight': 16.0, 'description': '"Scrooge reflects on his past relationship with the young girl, which holds significance in understanding his character\'s regrets."', 'source_id': 'chunk-54bdd22db1f84a965b5f4c06c9216d8d'} -2024-10-30 06:54:17,577 - lightrag - INFO - get_edge:query: - MATCH (start:`BOB CRATCHIT`)-[r]->(end:`THE COUNTING-HOUSE CLERK`) - RETURN properties(r) as edge_properties - LIMIT 1 - :result:{'keywords': '"workforce dynamics, character contrast"', 'weight': 12.0, 'description': '"Bob Cratchit and The Counting-House Clerk represent the working class under Scrooge\'s employment, showcasing different character traits in the context of their work."', 'source_id': 'chunk-d9aac3484185ac66045df92214d245d5'} -2024-10-30 06:54:17,670 - lightrag - INFO - get_edge:query: - MATCH (start:`MARKET-TOWN`)-[r]->(end:`SCROOGE`) - RETURN properties(r) as edge_properties - LIMIT 1 - :result:{'keywords': '"memory, childhood""nostalgia, memory"', 'weight': 15.0, 'description': '"Scrooge encounters the market-town in his memories, triggering feelings of recognition and emotional reflection.""Scrooge recognizes the Market-Town, eliciting fond memories from his childhood and emphasizing his emotional response to the past."', 'source_id': 'chunk-bb21d58d36c6306fd8810ddd51c4a971'} -2024-10-30 06:54:17,762 - lightrag - INFO - get_edge:query: - MATCH (start:`SCROOGE`)-[r]->(end:`THE PHANTOM`) - RETURN properties(r) as edge_properties - LIMIT 1 - :result:{'keywords': '"guidance, reflection""guidance, self-reflection"', 'weight': 17.0, 'description': '"Scrooge interacts with the Phantom, which guides him through reflections on his life and future, emphasizing his journey of change.""The Phantom interacts with Scrooge, pointing him towards the importance of reflections on mortality and social connections."', 'source_id': 'chunk-f1a4fbcf1ed86864b9bfd5e8dba4c683'} -2024-10-30 06:54:17,855 - lightrag - INFO - get_edge:query: - MATCH (start:`COLD WEATHER`)-[r]->(end:`SCROOGE`) - RETURN properties(r) as edge_properties - LIMIT 1 - :result:{'keywords': '"atmosphere, personality mirror"', 'weight': 18.0, 'description': '"The cold weather reflects Scrooge\'s icy demeanor, emphasizing his negative attitude towards life and others."', 'source_id': 'chunk-74e2466de2f67fd710ef2f20c0a8d9e0'} -2024-10-30 06:54:17,948 - lightrag - INFO - get_edge:query: - MATCH (start:`FELLOW-BEINGS`)-[r]->(end:`SCROOGE`) - RETURN properties(r) as edge_properties - LIMIT 1 - :result:{'keywords': '"neglect, realization"', 'weight': 16.0, 'description': '"Scrooge is confronted with his past choices to ignore Fellow-beings, leading to a realization of his moral failures."', 'source_id': 'chunk-359187e7571bda4b0b08b2e0b6581e52'} -2024-10-30 06:54:18,045 - lightrag - INFO - edge_degree:query:MATCH (n1:`CHRISTMAS`)-[r]-(n2:`SCROOGE`) - RETURN count(r) AS degree:result:1 -2024-10-30 06:54:18,140 - lightrag - INFO - edge_degree:query:MATCH (n1:`THE CANDLE`)-[r]-(n2:`THE FOG AND FROST`) - RETURN count(r) AS degree:result:1 -2024-10-30 06:54:18,234 - lightrag - INFO - edge_degree:query:MATCH (n1:`SCROOGE`)-[r]-(n2:`THE GHOST`) - RETURN count(r) AS degree:result:1 -2024-10-30 06:54:18,324 - lightrag - INFO - edge_degree:query:MATCH (n1:`MARLEY`)-[r]-(n2:`SCROOGE`) - RETURN count(r) AS degree:result:1 -2024-10-30 06:54:18,416 - lightrag - INFO - edge_degree:query:MATCH (n1:`MANSION`)-[r]-(n2:`SCROOGE`) - RETURN count(r) AS degree:result:1 -2024-10-30 06:54:18,507 - lightrag - INFO - edge_degree:query:MATCH (n1:`GHOST`)-[r]-(n2:`SCROOGE`) - RETURN count(r) AS degree:result:1 -2024-10-30 06:54:18,600 - lightrag - INFO - edge_degree:query:MATCH (n1:`SCROOGE`)-[r]-(n2:`THE MEMORY`) - RETURN count(r) AS degree:result:1 -2024-10-30 06:54:18,692 - lightrag - INFO - edge_degree:query:MATCH (n1:`SCROOGE`)-[r]-(n2:`THE GHOST OF CHRISTMAS PAST`) - RETURN count(r) AS degree:result:1 -2024-10-30 06:54:18,785 - lightrag - INFO - edge_degree:query:MATCH (n1:`JACOB MARLEY`)-[r]-(n2:`SCROOGE`) - RETURN count(r) AS degree:result:1 -2024-10-30 06:54:18,877 - lightrag - INFO - edge_degree:query:MATCH (n1:`THE CRATCHIT HOUSEHOLD`)-[r]-(n2:`THE SUBURBS`) - RETURN count(r) AS degree:result:1 -2024-10-30 06:54:18,971 - lightrag - INFO - edge_degree:query:MATCH (n1:`CHRISTMAS`)-[r]-(n2:`THE SPIRIT`) - RETURN count(r) AS degree:result:1 -2024-10-30 06:54:19,067 - lightrag - INFO - edge_degree:query:MATCH (n1:`JOE`)-[r]-(n2:`THE WOMAN`) - RETURN count(r) AS degree:result:1 -2024-10-30 06:54:19,158 - lightrag - INFO - edge_degree:query:MATCH (n1:`SCROOGE`)-[r]-(n2:`SCROOGE'S NIECE`) - RETURN count(r) AS degree:result:1 -2024-10-30 06:54:19,249 - lightrag - INFO - edge_degree:query:MATCH (n1:`SCROOGE`)-[r]-(n2:`THE CITY`) - RETURN count(r) AS degree:result:1 -2024-10-30 06:54:19,339 - lightrag - INFO - edge_degree:query:MATCH (n1:`GHOST`)-[r]-(n2:`SPECTRE`) - RETURN count(r) AS degree:result:1 -2024-10-30 06:54:19,428 - lightrag - INFO - edge_degree:query:MATCH (n1:`SCROOGE`)-[r]-(n2:`SPIRIT`) - RETURN count(r) AS degree:result:1 -2024-10-30 06:54:19,521 - lightrag - INFO - edge_degree:query:MATCH (n1:`MARLEY'S FUNERAL`)-[r]-(n2:`SCROOGE`) - RETURN count(r) AS degree:result:1 -2024-10-30 06:54:19,617 - lightrag - INFO - edge_degree:query:MATCH (n1:`IGNORANCE`)-[r]-(n2:`SPIRIT`) - RETURN count(r) AS degree:result:1 -2024-10-30 06:54:19,710 - lightrag - INFO - edge_degree:query:MATCH (n1:`SCROOGE`)-[r]-(n2:`THE SPIRIT`) - RETURN count(r) AS degree:result:1 -2024-10-30 06:54:19,804 - lightrag - INFO - edge_degree:query:MATCH (n1:`CLOCK`)-[r]-(n2:`SCROOGE`) - RETURN count(r) AS degree:result:1 -2024-10-30 06:54:19,899 - lightrag - INFO - edge_degree:query:MATCH (n1:`SCROOGE`)-[r]-(n2:`THE GRATE`) - RETURN count(r) AS degree:result:1 -2024-10-30 06:54:19,990 - lightrag - INFO - edge_degree:query:MATCH (n1:`JOE`)-[r]-(n2:`SCROOGE`) - RETURN count(r) AS degree:result:1 -2024-10-30 06:54:20,083 - lightrag - INFO - edge_degree:query:MATCH (n1:`SCROOGE`)-[r]-(n2:`THE COUNTING-HOUSE`) - RETURN count(r) AS degree:result:1 -2024-10-30 06:54:20,173 - lightrag - INFO - edge_degree:query:MATCH (n1:`SCROOGE`)-[r]-(n2:`THE HOUSE`) - RETURN count(r) AS degree:result:1 -2024-10-30 06:54:20,262 - lightrag - INFO - edge_degree:query:MATCH (n1:`SPIRIT`)-[r]-(n2:`WANT`) - RETURN count(r) AS degree:result:1 -2024-10-30 06:54:20,358 - lightrag - INFO - edge_degree:query:MATCH (n1:`SCROOGE`)-[r]-(n2:`TIM`) - RETURN count(r) AS degree:result:1 -2024-10-30 06:54:20,453 - lightrag - INFO - edge_degree:query:MATCH (n1:`FOG`)-[r]-(n2:`SCROOGE`) - RETURN count(r) AS degree:result:1 -2024-10-30 06:54:20,544 - lightrag - INFO - edge_degree:query:MATCH (n1:`SCROOGE`)-[r]-(n2:`THE CORPSE`) - RETURN count(r) AS degree:result:1 -2024-10-30 06:54:20,638 - lightrag - INFO - edge_degree:query:MATCH (n1:`SCROOGE`)-[r]-(n2:`TINY TIM`) - RETURN count(r) AS degree:result:1 -2024-10-30 06:54:20,727 - lightrag - INFO - edge_degree:query:MATCH (n1:`CHILD`)-[r]-(n2:`SCROOGE`) - RETURN count(r) AS degree:result:1 -2024-10-30 06:54:20,821 - lightrag - INFO - edge_degree:query:MATCH (n1:`GHOST OF CHRISTMAS PAST`)-[r]-(n2:`SCROOGE`) - RETURN count(r) AS degree:result:1 -2024-10-30 06:54:20,914 - lightrag - INFO - edge_degree:query:MATCH (n1:`CHRISTMAS EVE`)-[r]-(n2:`SCROOGE`) - RETURN count(r) AS degree:result:1 -2024-10-30 06:54:21,010 - lightrag - INFO - edge_degree:query:MATCH (n1:`MARLEY'S GHOST`)-[r]-(n2:`SCROOGE`) - RETURN count(r) AS degree:result:1 -2024-10-30 06:54:21,106 - lightrag - INFO - edge_degree:query:MATCH (n1:`CHRISTMAS HOLIDAYS`)-[r]-(n2:`SCROOGE`) - RETURN count(r) AS degree:result:1 -2024-10-30 06:54:21,198 - lightrag - INFO - edge_degree:query:MATCH (n1:`JACOB`)-[r]-(n2:`SCROOGE`) - RETURN count(r) AS degree:result:1 -2024-10-30 06:54:21,292 - lightrag - INFO - edge_degree:query:MATCH (n1:`ALI BABA`)-[r]-(n2:`ROBIN CRUSOE`) - RETURN count(r) AS degree:result:1 -2024-10-30 06:54:21,383 - lightrag - INFO - edge_degree:query:MATCH (n1:`CITY`)-[r]-(n2:`SPIRIT`) - RETURN count(r) AS degree:result:1 -2024-10-30 06:54:21,479 - lightrag - INFO - edge_degree:query:MATCH (n1:`CAROLINE`)-[r]-(n2:`HOPE`) - RETURN count(r) AS degree:result:1 -2024-10-30 06:54:21,578 - lightrag - INFO - edge_degree:query:MATCH (n1:`CHILD`)-[r]-(n2:`THE SPIRIT`) - RETURN count(r) AS degree:result:1 -2024-10-30 06:54:21,673 - lightrag - INFO - edge_degree:query:MATCH (n1:`GRAVE`)-[r]-(n2:`SCROOGE`) - RETURN count(r) AS degree:result:1 -2024-10-30 06:54:21,768 - lightrag - INFO - edge_degree:query:MATCH (n1:`CHURCH`)-[r]-(n2:`SCROOGE`) - RETURN count(r) AS degree:result:1 -2024-10-30 06:54:21,866 - lightrag - INFO - edge_degree:query:MATCH (n1:`SCROOGE`)-[r]-(n2:`THE DECEASED MAN`) - RETURN count(r) AS degree:result:1 -2024-10-30 06:54:21,964 - lightrag - INFO - edge_degree:query:MATCH (n1:`MARTHA CRATCHIT`)-[r]-(n2:`THE COUNTESS`) - RETURN count(r) AS degree:result:1 -2024-10-30 06:54:22,062 - lightrag - INFO - edge_degree:query:MATCH (n1:`BOB CRATCHIT`)-[r]-(n2:`TINY TIM`) - RETURN count(r) AS degree:result:1 -2024-10-30 06:54:22,156 - lightrag - INFO - edge_degree:query:MATCH (n1:`SCROOGE`)-[r]-(n2:`THE WINDOW`) - RETURN count(r) AS degree:result:1 -2024-10-30 06:54:22,249 - lightrag - INFO - edge_degree:query:MATCH (n1:`SCROOGE`)-[r]-(n2:`THE GHOST OF CHRISTMAS YET TO COME`) - RETURN count(r) AS degree:result:1 -2024-10-30 06:54:22,342 - lightrag - INFO - edge_degree:query:MATCH (n1:`MANSION`)-[r]-(n2:`THE GHOST`) - RETURN count(r) AS degree:result:1 -2024-10-30 06:54:22,435 - lightrag - INFO - edge_degree:query:MATCH (n1:`SCROOGE`)-[r]-(n2:`THE FOG AND FROST`) - RETURN count(r) AS degree:result:1 -2024-10-30 06:54:22,528 - lightrag - INFO - edge_degree:query:MATCH (n1:`FEZZIWIG`)-[r]-(n2:`SCROOGE`) - RETURN count(r) AS degree:result:1 -2024-10-30 06:54:22,619 - lightrag - INFO - edge_degree:query:MATCH (n1:`CHRISTMAS EVES`)-[r]-(n2:`SCROOGE`) - RETURN count(r) AS degree:result:1 -2024-10-30 06:54:22,714 - lightrag - INFO - edge_degree:query:MATCH (n1:`THE CRATCHIT HOUSE`)-[r]-(n2:`THE DEBT`) - RETURN count(r) AS degree:result:1 -2024-10-30 06:54:22,807 - lightrag - INFO - edge_degree:query:MATCH (n1:`SPIRIT`)-[r]-(n2:`THE EVENT OF DEATH`) - RETURN count(r) AS degree:result:1 -2024-10-30 06:54:22,899 - lightrag - INFO - edge_degree:query:MATCH (n1:`THE LIGHTHOUSE`)-[r]-(n2:`THE WAVE`) - RETURN count(r) AS degree:result:1 -2024-10-30 06:54:22,991 - lightrag - INFO - edge_degree:query:MATCH (n1:`SCROOGE`)-[r]-(n2:`THE DARKNESS`) - RETURN count(r) AS degree:result:1 -2024-10-30 06:54:23,087 - lightrag - INFO - edge_degree:query:MATCH (n1:`SCROOGE`)-[r]-(n2:`THE BEAUTIFUL YOUNG GIRL`) - RETURN count(r) AS degree:result:1 -2024-10-30 06:54:23,181 - lightrag - INFO - edge_degree:query:MATCH (n1:`BOB CRATCHIT`)-[r]-(n2:`THE COUNTING-HOUSE CLERK`) - RETURN count(r) AS degree:result:1 -2024-10-30 06:54:23,272 - lightrag - INFO - edge_degree:query:MATCH (n1:`MARKET-TOWN`)-[r]-(n2:`SCROOGE`) - RETURN count(r) AS degree:result:1 -2024-10-30 06:54:23,361 - lightrag - INFO - edge_degree:query:MATCH (n1:`SCROOGE`)-[r]-(n2:`THE PHANTOM`) - RETURN count(r) AS degree:result:1 -2024-10-30 06:54:23,451 - lightrag - INFO - edge_degree:query:MATCH (n1:`COLD WEATHER`)-[r]-(n2:`SCROOGE`) - RETURN count(r) AS degree:result:1 -2024-10-30 06:54:23,542 - lightrag - INFO - edge_degree:query:MATCH (n1:`FELLOW-BEINGS`)-[r]-(n2:`SCROOGE`) - RETURN count(r) AS degree:result:1 -2024-10-30 06:54:23,631 - lightrag - INFO - get_node:query:MATCH (n:`FOG`) RETURN n:result:"Fog is a weather phenomenon that adds to the bleak atmosphere, reflecting the obscurity and confusion in Scrooge\'s life.""Fog represents the obscured visibility and confusion in Scrooge\'s surroundings, enhancing the atmosphere of uncertainty and apprehension.""Fog represents the obscurity and isolation in the environment, mirroring Scrooge’s emotional distance and isolation from society.""Fog represents the obscured visibility and confusion in Scrooge\'s surroundings, enhancing the atmosphere of uncertainty and apprehension.""Fog represents the obscurity and isolation in the environment, mirroring Scrooge’s emotional distance and isolation from society.""Fog represents the obscured visibility and confusion in Scrooge\'s surroundings, enhancing the atmosphere of uncertainty and apprehension.""Fog represents the obscurity and isolation in the environment, mirroring Scrooge’s emotional distance and isolation from society.""Fog represents the obscured visibility and confusion in Scrooge\'s surroundings, enhancing the atmosphere of uncertainty and apprehension.""Fog represents the obscurity and isolation in the environment, mirroring Scrooge’s emotional distance and isolation from society.""Fog represents the obscured visibility and confusion in Scrooge\'s surroundings, enhancing the atmosphere of uncertainty and apprehension.""Fog represents the obscurity and isolation in the environment, mirroring Scrooge’s emotional distance and isolation from society."', 'source_id': 'chunk-c7b10789a9cb0af6c553730b29bd9034chunk-d9aac3484185ac66045df92214d245d5chunk-74e2466de2f67fd710ef2f20c0a8d9e0'}> -2024-10-30 06:54:23,720 - lightrag - INFO - get_node:query:MATCH (n:`THE GHOST OF CHRISTMAS YET TO COME`) RETURN n:result:"The Ghost of Christmas Yet to Come is a spirit that shows Scrooge the consequences of his actions, pointing toward his eventual demise.""The Ghost of Christmas Yet to Come reveals the potential consequences of Scrooge\'s current life choices, emphasizing themes of mortality and legacy.""The Ghost of Christmas Yet to Come is a spirit that shows Scrooge the consequences of his actions, pointing toward his eventual demise.""The Ghost of Christmas Yet to Come reveals the potential consequences of Scrooge\'s current life choices, emphasizing themes of mortality and legacy.""The Ghost of Christmas Yet to Come is a spirit that shows Scrooge the consequences of his actions, pointing toward his eventual demise.""The Ghost of Christmas Yet to Come reveals the potential consequences of Scrooge\'s current life choices, emphasizing themes of mortality and legacy.""The Ghost of Christmas Yet to Come is a spirit that shows Scrooge the consequences of his actions, pointing toward his eventual demise.""The Ghost of Christmas Yet to Come reveals the potential consequences of Scrooge\'s current life choices, emphasizing themes of mortality and legacy.""The Ghost of Christmas Yet to Come is a spirit that shows Scrooge the consequences of his actions, pointing toward his eventual demise.""The Ghost of Christmas Yet to Come reveals the potential consequences of Scrooge\'s current life choices, emphasizing themes of mortality and legacy."', 'source_id': 'chunk-91572b3cd42786ba4cb2f180ca25cbf4chunk-90b95db5c53e4364a6bee36b7aa4d70f'}> -2024-10-30 06:54:23,808 - lightrag - INFO - get_node:query:MATCH (n:`WANT`) RETURN n:result:"Want is represented as the second child shown by the Spirit, symbolizing the dire social conditions and needs of the impoverished.""Want represents another societal failing, portrayed as a girl, symbolizing deprivation and yearning for basic needs.""Want is represented as the second child shown by the Spirit, symbolizing the dire social conditions and needs of the impoverished.""Want represents another societal failing, portrayed as a girl, symbolizing deprivation and yearning for basic needs.""Want is represented as the second child shown by the Spirit, symbolizing the dire social conditions and needs of the impoverished.""Want represents another societal failing, portrayed as a girl, symbolizing deprivation and yearning for basic needs.""Want is represented as the second child shown by the Spirit, symbolizing the dire social conditions and needs of the impoverished.""Want represents another societal failing, portrayed as a girl, symbolizing deprivation and yearning for basic needs.""Want is represented as the second child shown by the Spirit, symbolizing the dire social conditions and needs of the impoverished.""Want represents another societal failing, portrayed as a girl, symbolizing deprivation and yearning for basic needs."', 'source_id': 'chunk-02baee20cc9463dbe08170a8e1043e32chunk-e7637ff18c5ded77a68cce0a87883fad'}> -2024-10-30 06:54:23,895 - lightrag - INFO - get_node:query:MATCH (n:`CHILD`) RETURN n:result: -2024-10-30 06:54:23,984 - lightrag - INFO - get_node:query:MATCH (n:`THE PHANTOM`) RETURN n:result:"The Phantom represents a ghostly presence guiding Scrooge through reflections on his life and future decisions.""The Phantom represents a ghostly presence guiding Scrooge through reflections on his life and future decisions.""The Phantom represents a ghostly presence guiding Scrooge through reflections on his life and future decisions.""The Phantom represents a ghostly presence guiding Scrooge through reflections on his life and future decisions.""The Phantom represents the supernatural element in Scrooge\'s journey of self-reflection and moral awakening."', 'source_id': 'chunk-f1a4fbcf1ed86864b9bfd5e8dba4c683'}> -2024-10-30 06:54:24,067 - lightrag - INFO - get_node:query:MATCH (n:`BOB CRATCHIT`) RETURN n:result:chunk-90b95db5c53e4364a6bee36b7aa4d70fchunk-d9aac3484185ac66045df92214d245d5chunk-19d72c57ae3408758b18d2568e86dc6bchunk-503f0bfa5453467c7c61d160a3540ecachunk-91572b3cd42786ba4cb2f180ca25cbf4chunk-9e3921da66da5d761ab73cd849af6c43chunk-94bea83e7153fc2064aa382b494936a1chunk-83ac129dc9b56f84c46760d153d68e93chunk-7e2e7ebcc19a53b399dc03aded4743e7chunk-1d4b58de5429cd1261370c231c8673e8'}> -2024-10-30 06:54:24,154 - lightrag - INFO - get_node:query:MATCH (n:`SCROOGE`) RETURN n:result:chunk-b0f459f5af1c3a5e0b92cbe4ee48b77bchunk-e7637ff18c5ded77a68cce0a87883fadchunk-359187e7571bda4b0b08b2e0b6581e52chunk-e1f29eeadc1d8ab46dc8a0bbd3c56b64chunk-c6c248858d1b13ab7ee9ca13c1aeed6bchunk-cb661c37436355ccec2769b1d0350c5fchunk-f1a4fbcf1ed86864b9bfd5e8dba4c683chunk-99b0ec7f7e006561352b5d65e849611dchunk-843b5b2f944c7413d9ca876e2e2f151fchunk-90b95db5c53e4364a6bee36b7aa4d70fchunk-19d72c57ae3408758b18d2568e86dc6bchunk-02baee20cc9463dbe08170a8e1043e32chunk-503f0bfa5453467c7c61d160a3540ecachunk-91572b3cd42786ba4cb2f180ca25cbf4chunk-83ac129dc9b56f84c46760d153d68e93chunk-8f738cb25d60a7dab782162d9d0a25edchunk-94bea83e7153fc2064aa382b494936a1chunk-9c43dac2fcd5b578242d907ea6f8fc7bchunk-74e2466de2f67fd710ef2f20c0a8d9e0chunk-89777b838d5447c7bd1ec11282c4ee89chunk-d9aac3484185ac66045df92214d245d5chunk-90d5764e301321c087f5a8f78b73a145chunk-91614df5cb74cbe5e109a338a82041e9chunk-54bdd22db1f84a965b5f4c06c9216d8dchunk-773d0df1dd25c356f7b771d780583e09chunk-5dac41b3f9eeaf794f0147400b1718cdchunk-43c9bee23adfa77aa9dedd22401bba7dchunk-da2472b4ef2a535b62908f14d0fb0ca9chunk-1aa50206d02ed89418f65f97c6441d1cchunk-8590d9263cd2cd4fa583c432fc54e6c3chunk-b2f98bc7abb0c67d4c86055c7fd72218chunk-bb21d58d36c6306fd8810ddd51c4a971'}> -2024-10-30 06:54:24,241 - lightrag - INFO - get_node:query:MATCH (n:`THE GHOST OF CHRISTMAS PAST`) RETURN n:result:"The Ghost of Christmas Past is a supernatural entity that allows Scrooge to revisit and reflect on his previous life experiences.""The Ghost of Christmas Past is a supernatural entity that allows Scrooge to revisit and reflect on his previous life experiences.""The Ghost of Christmas Past is a supernatural entity that allows Scrooge to revisit and reflect on his previous life experiences.""The Ghost of Christmas Past is a supernatural entity that allows Scrooge to revisit and reflect on his previous life experiences.""The Ghost of Christmas Past is a supernatural entity that shows Scrooge moments from his past, eliciting reflection and emotion.""The Ghost of Christmas Past represents Scrooge\'s history and helps him confront his former self and decisions made in life.""The Ghost of Christmas Past represents Scrooge\'s history and helps him confront his former self and decisions made in life.""The Ghost of Christmas Past represents Scrooge\'s history and helps him confront his former self and decisions made in life.""The Ghost of Christmas Past represents Scrooge\'s history and helps him confront his former self and decisions made in life.""The Ghost of Christmas Past represents Scrooge\'s history and helps him confront his former self and decisions made in life."', 'source_id': 'chunk-b2f98bc7abb0c67d4c86055c7fd72218chunk-90b95db5c53e4364a6bee36b7aa4d70f'}> -2024-10-30 06:54:24,328 - lightrag - INFO - get_node:query:MATCH (n:`THE MEMORY`) RETURN n:result: -2024-10-30 06:54:24,414 - lightrag - INFO - get_node:query:MATCH (n:`COLD WEATHER`) RETURN n:result:"Cold Weather sets the bleak and unforgiving atmosphere, reflecting Scrooge’s own personality and state of mind.""Cold Weather sets the bleak and unforgiving atmosphere, reflecting Scrooge’s own personality and state of mind.""Cold Weather sets the bleak and unforgiving atmosphere, reflecting Scrooge’s own personality and state of mind.""Cold Weather sets the bleak and unforgiving atmosphere, reflecting Scrooge’s own personality and state of mind.""Cold Weather sets the bleak and unforgiving atmosphere, reflecting Scrooge’s own personality and state of mind."', 'source_id': 'chunk-f1a4fbcf1ed86864b9bfd5e8dba4c683chunk-74e2466de2f67fd710ef2f20c0a8d9e0'}> -2024-10-30 06:54:24,506 - lightrag - INFO - get_node:query:MATCH (n:`THE GHOST`) RETURN n:result:chunk-43c9bee23adfa77aa9dedd22401bba7dchunk-e7637ff18c5ded77a68cce0a87883fadchunk-359187e7571bda4b0b08b2e0b6581e52chunk-da2472b4ef2a535b62908f14d0fb0ca9chunk-c6c248858d1b13ab7ee9ca13c1aeed6bchunk-02baee20cc9463dbe08170a8e1043e32chunk-1aa50206d02ed89418f65f97c6441d1cchunk-cb661c37436355ccec2769b1d0350c5fchunk-54bdd22db1f84a965b5f4c06c9216d8dchunk-8590d9263cd2cd4fa583c432fc54e6c3chunk-83ac129dc9b56f84c46760d153d68e93chunk-9c43dac2fcd5b578242d907ea6f8fc7b'}> -2024-10-30 06:54:24,595 - lightrag - INFO - get_node:query:MATCH (n:`CHRISTMAS HOLIDAYS`) RETURN n:result:"Christmas Holidays signify a time for celebration, reflection, and reconciliation, playing a critical role in Scrooge\'s transformation.""Christmas Holidays signify a time for celebration, reflection, and reconciliation, playing a critical role in Scrooge\'s transformation.""Christmas Holidays signify a time for celebration, reflection, and reconciliation, playing a critical role in Scrooge\'s transformation.""Christmas Holidays signify a time for celebration, reflection, and reconciliation, playing a critical role in Scrooge\'s transformation.""The Christmas Holidays serve as a crucial backdrop for the narrative, representing themes of generosity, family, and redemption."', 'source_id': 'chunk-e7637ff18c5ded77a68cce0a87883fad'}> -2024-10-30 06:54:24,683 - lightrag - INFO - get_node:query:MATCH (n:`CHRISTMAS EVE`) RETURN n:result:"Christmas Eve is a significant time in the story, marked by celebrations and gatherings led by Fezziwig.""Christmas Eve is a significant time in the story, marked by celebrations and gatherings led by Fezziwig.""Christmas Eve is a significant time in the story, marked by celebrations and gatherings led by Fezziwig.""Christmas Eve is a significant time in the story, marked by celebrations and gatherings led by Fezziwig.""Christmas Eve is depicted as a significant time, bringing about joyful activities like sliding down snow hills, contrasting with Scrooge\'s dour demeanor.""Christmas Eve is the night before Christmas, serving as the backdrop for the lively celebrations and dances hosted by Fezziwig.""Christmas Eve is the specific time setting in the story, highlighting the contrast between the joy of the holiday and Scrooge\'s negativity.""Christmas Eve is the day prior to Christmas, a time that carries festive significance and anticipation in the narrative.""Christmas Eve is the day prior to Christmas, a time that carries festive significance and anticipation in the narrative.""Christmas Eve is the day prior to Christmas, a time that carries festive significance and anticipation in the narrative.""Christmas Eve is the day prior to Christmas, a time that carries festive significance and anticipation in the narrative.""Christmas Eve is the day prior to Christmas, a time that carries festive significance and anticipation in the narrative."', 'source_id': 'chunk-d9aac3484185ac66045df92214d245d5chunk-8bc1edd983869352d14cf0886a9175a7chunk-74e2466de2f67fd710ef2f20c0a8d9e0'}> -2024-10-30 06:54:24,768 - lightrag - INFO - get_node:query:MATCH (n:`THE CORPSE`) RETURN n:result: -2024-10-30 06:54:24,855 - lightrag - INFO - get_node:query:MATCH (n:`GHOST`) RETURN n:result:"The Ghost refers to the spirit guiding Scrooge, embodying the themes of memory and reflection on the joys of Christmas.""The Ghost represents a spiritual guide that takes Scrooge on a journey to learn important lessons about compassion and humanity.""The Ghost serves as a supernatural guide for Scrooge, prompting him to reflect on his life and choices.""The Ghost is the spirit of Jacob Marley, who expresses remorse for his life and warns Scrooge about the consequences of ignoring his moral duties.""The Ghost is the spirit of Jacob Marley, who expresses remorse for his life and warns Scrooge about the consequences of ignoring his moral duties.""The Ghost is the spirit of Jacob Marley, who expresses remorse for his life and warns Scrooge about the consequences of ignoring his moral duties.""The Ghost is the spirit of Jacob Marley, who expresses remorse for his life and warns Scrooge about the consequences of ignoring his moral duties.""The Ghost is the spirit of Jacob Marley, who expresses remorse for his life and warns Scrooge about the consequences of ignoring his moral duties."', 'source_id': 'chunk-43c9bee23adfa77aa9dedd22401bba7dchunk-e7637ff18c5ded77a68cce0a87883fadchunk-359187e7571bda4b0b08b2e0b6581e52chunk-c6c248858d1b13ab7ee9ca13c1aeed6bchunk-503f0bfa5453467c7c61d160a3540eca'}> -2024-10-30 06:54:24,942 - lightrag - INFO - get_node:query:MATCH (n:`JOE`) RETURN n:result:"Joe is a marine-store dealer depicted as receiving stolen goods, illustrating the consequences of crime and the darker sides of society.""Joe is portrayed as a character engaged in a conversation about the deceased, displaying a mix of humor and practicality in dealing with the possessions of the dead.""Joe is a character who interacts with others, demonstrating a sense of curiosity and disbelief regarding certain situations and comments.""Joe is a marine-store dealer and receiver of stolen goods, indicative of the darker, more unscrupulous elements of society.""Joe is an old character who engages in conversation about the deceased man\'s belongings, revealing his pragmatic and somewhat cynical perspective on life and death.""Joe is a character who interacts with others, demonstrating a sense of curiosity and disbelief regarding certain situations and comments.""Joe is a marine-store dealer and receiver of stolen goods, indicative of the darker, more unscrupulous elements of society.""Joe is an old character who engages in conversation about the deceased man\'s belongings, revealing his pragmatic and somewhat cynical perspective on life and death.""Joe is a character who interacts with others, demonstrating a sense of curiosity and disbelief regarding certain situations and comments.""Joe is a marine-store dealer and receiver of stolen goods, indicative of the darker, more unscrupulous elements of society.""Joe is an old character who engages in conversation about the deceased man\'s belongings, revealing his pragmatic and somewhat cynical perspective on life and death.""Joe is a character who interacts with others, demonstrating a sense of curiosity and disbelief regarding certain situations and comments.""Joe is a marine-store dealer and receiver of stolen goods, indicative of the darker, more unscrupulous elements of society.""Joe is an old character who engages in conversation about the deceased man\'s belongings, revealing his pragmatic and somewhat cynical perspective on life and death.""Joe is a character who interacts with others, demonstrating a sense of curiosity and disbelief regarding certain situations and comments.""Joe is a marine-store dealer and receiver of stolen goods, indicative of the darker, more unscrupulous elements of society.""Joe is an old character who engages in conversation about the deceased man\'s belongings, revealing his pragmatic and somewhat cynical perspective on life and death."', 'source_id': 'chunk-e1f29eeadc1d8ab46dc8a0bbd3c56b64chunk-9e3921da66da5d761ab73cd849af6c43chunk-89777b838d5447c7bd1ec11282c4ee89'}> -2024-10-30 06:54:25,028 - lightrag - INFO - get_node:query:MATCH (n:`MANSION`) RETURN n:result: -2024-10-30 06:54:25,116 - lightrag - INFO - get_node:query:MATCH (n:`THE COUNTING-HOUSE`) RETURN n:result:"The Counting-House is where Scrooge works and is characterized by its cold and unwelcoming environment.""The Counting-House is the place where Scrooge works, reflecting a business environment lacking warmth or joy.""The Counting-House is the place where Scrooge works, reflecting a business environment lacking warmth or joy.""The Counting-House is the place where Scrooge works, reflecting a business environment lacking warmth or joy.""The Counting-House is the place where Scrooge works, reflecting a business environment lacking warmth or joy.""The Counting-House is the place where Scrooge works, reflecting a business environment lacking warmth or joy."', 'source_id': 'chunk-d9aac3484185ac66045df92214d245d5chunk-74e2466de2f67fd710ef2f20c0a8d9e0'}> -2024-10-30 06:54:25,202 - lightrag - INFO - get_node:query:MATCH (n:`THE CITY`) RETURN n:result:"The City represents the bustling urban environment where Scrooge reflects on his past, filled with activity and shadowy figures.""The City, from which Scrooge is transported, represents his past life and is contrasted with the open country road that signifies his memories.""The City refers to the broader urban environment in which Scrooge operates and signifies the societal norms and attitudes towards Christmas.""The City represents the bustling urban environment where Scrooge\'s memories unfold, highlighting the contrast between his past and present.""The City refers to the broader urban environment in which Scrooge operates and signifies the societal norms and attitudes towards Christmas.""The City represents the bustling urban environment where Scrooge\'s memories unfold, highlighting the contrast between his past and present.""The City refers to the broader urban environment in which Scrooge operates and signifies the societal norms and attitudes towards Christmas.""The City represents the bustling urban environment where Scrooge\'s memories unfold, highlighting the contrast between his past and present.""The City refers to the broader urban environment in which Scrooge operates and signifies the societal norms and attitudes towards Christmas.""The City represents the bustling urban environment where Scrooge\'s memories unfold, highlighting the contrast between his past and present.""The City refers to the broader urban environment in which Scrooge operates and signifies the societal norms and attitudes towards Christmas.""The City represents the bustling urban environment where Scrooge\'s memories unfold, highlighting the contrast between his past and present."', 'source_id': 'chunk-74e2466de2f67fd710ef2f20c0a8d9e0chunk-c6c248858d1b13ab7ee9ca13c1aeed6bchunk-94bea83e7153fc2064aa382b494936a1chunk-bb21d58d36c6306fd8810ddd51c4a971'}> -2024-10-30 06:54:25,291 - lightrag - INFO - get_node:query:MATCH (n:`THE WOMAN`) RETURN n:result:chunk-60fc063c79fc0d4acc91a57e79de04dcchunk-89777b838d5447c7bd1ec11282c4ee89'}> -2024-10-30 06:54:25,374 - lightrag - INFO - get_node:query:MATCH (n:`MARLEY'S FUNERAL`) RETURN n:result: -2024-10-30 06:54:25,457 - lightrag - INFO - get_node:query:MATCH (n:`SPECTRE`) RETURN n:result: -2024-10-30 06:54:25,546 - lightrag - INFO - get_node:query:MATCH (n:`CHRISTMAS`) RETURN n:result:chunk-c6c248858d1b13ab7ee9ca13c1aeed6bchunk-99b0ec7f7e006561352b5d65e849611dchunk-02baee20cc9463dbe08170a8e1043e32chunk-503f0bfa5453467c7c61d160a3540ecachunk-91572b3cd42786ba4cb2f180ca25cbf4chunk-8f738cb25d60a7dab782162d9d0a25edchunk-94bea83e7153fc2064aa382b494936a1chunk-1d4b58de5429cd1261370c231c8673e8chunk-74e2466de2f67fd710ef2f20c0a8d9e0chunk-89777b838d5447c7bd1ec11282c4ee89chunk-90d5764e301321c087f5a8f78b73a145chunk-91614df5cb74cbe5e109a338a82041e9chunk-54bdd22db1f84a965b5f4c06c9216d8dchunk-773d0df1dd25c356f7b771d780583e09chunk-5dac41b3f9eeaf794f0147400b1718cdchunk-43c9bee23adfa77aa9dedd22401bba7dchunk-da2472b4ef2a535b62908f14d0fb0ca9chunk-8590d9263cd2cd4fa583c432fc54e6c3'}> -2024-10-30 06:54:25,635 - lightrag - INFO - get_node:query:MATCH (n:`GRAVE`) RETURN n:result: -2024-10-30 06:54:25,723 - lightrag - INFO - get_node:query:MATCH (n:`THE DECEASED MAN`) RETURN n:result: -2024-10-30 06:54:25,810 - lightrag - INFO - get_node:query:MATCH (n:`FEZZIWIG`) RETURN n:result:"Fezziwig is a character known for hosting a domestic ball that brings joy and merriment to the participants, showcasing his ability to create happiness.""Fezziwig is a joyful and lively character who dances with Mrs. Fezziwig, embodying the festive spirit of Christmas.""Fezziwig is presented as Scrooge\'s former employer, known for his jovial nature and generous spirit, who plays a significant role in Scrooge\'s memories.""Fezziwig is the owner of a business where festive celebrations take place, known for his jovial character and ability to create a lively atmosphere."Fezziwig is a character renowned for his role as a joyful and jovial employer who hosts domestic balls, creating an atmosphere filled with happiness and merriment for his participants. He is depicted as a kind-hearted figure who organizes lively Christmas festivities for his employees, exemplifying kindness and generosity. Fezziwig plays a significant role in the memories of Ebenezer Scrooge, being portrayed as his former employer who embodies the true spirit of Christmas.\n\nHe is often seen dancing with his wife, Mrs. Fezziwig, which further illustrates his cheerful nature and the festive spirit surrounding the celebrations. As the owner of a business where these vibrant festivities take place, Fezziwig is celebrated for his ability to create a lively and joyful environment, leaving a lasting impression on those who encounter him during the festive seasons. His portrayal encapsulates the essence of joy, generosity, and the festive spirit, making him a beloved character in the narrative of Scrooge\'s past."Fezziwig is a joyful and lively character who dances with Mrs. Fezziwig, embodying the festive spirit of Christmas.""Fezziwig is presented as Scrooge\'s former employer, known for his jovial nature and generous spirit, who plays a significant role in Scrooge\'s memories.""Fezziwig is the owner of a business where festive celebrations take place, known for his jovial character and ability to create a lively atmosphere."', 'source_id': 'chunk-b2f98bc7abb0c67d4c86055c7fd72218chunk-c6c248858d1b13ab7ee9ca13c1aeed6bchunk-8bc1edd983869352d14cf0886a9175a7chunk-89777b838d5447c7bd1ec11282c4ee89'}> -2024-10-30 06:54:25,898 - lightrag - INFO - get_node:query:MATCH (n:`THE DEBT`) RETURN n:result: -2024-10-30 06:54:25,991 - lightrag - INFO - get_node:query:MATCH (n:`GHOST OF CHRISTMAS PAST`) RETURN n:result:"The Ghost of Christmas Past is a supernatural entity that aids Scrooge in reflecting on his past experiences and emotions.""The Ghost of Christmas Past is one of the spirits in A Christmas Carol that shows Scrooge his past, prompting reflection and change.""The Ghost of Christmas Past represents a spirit that guides Scrooge to revisit and reflect on his past experiences and memories.""The Ghost of Christmas Past is one of the spirits in A Christmas Carol that shows Scrooge his past, prompting reflection and change.""The Ghost of Christmas Past represents a spirit that guides Scrooge to revisit and reflect on his past experiences and memories.""The Ghost of Christmas Past is one of the spirits in A Christmas Carol that shows Scrooge his past, prompting reflection and change.""The Ghost of Christmas Past represents a spirit that guides Scrooge to revisit and reflect on his past experiences and memories.""The Ghost of Christmas Past is one of the spirits in A Christmas Carol that shows Scrooge his past, prompting reflection and change.""The Ghost of Christmas Past represents a spirit that guides Scrooge to revisit and reflect on his past experiences and memories.""The Ghost of Christmas Past is one of the spirits in A Christmas Carol that shows Scrooge his past, prompting reflection and change.""The Ghost of Christmas Past represents a spirit that guides Scrooge to revisit and reflect on his past experiences and memories."', 'source_id': 'chunk-9e3921da66da5d761ab73cd849af6c43chunk-bb21d58d36c6306fd8810ddd51c4a971'}> -2024-10-30 06:54:26,080 - lightrag - INFO - get_node:query:MATCH (n:`IGNORANCE`) RETURN n:result:"Ignorance is personified as a boy that symbolizes the dangers of ignoring social issues and the consequences of a lack of awareness.""Ignorance personifies a societal failing, depicted as a child, warning of the dangers of neglect and moral responsibility.""Ignorance refers to one of the two children presented by the Spirit, symbolizing societal neglect and the consequences of lack of awareness.""Ignorance personifies a societal failing, depicted as a child, warning of the dangers of neglect and moral responsibility.""Ignorance refers to one of the two children presented by the Spirit, symbolizing societal neglect and the consequences of lack of awareness.""Ignorance personifies a societal failing, depicted as a child, warning of the dangers of neglect and moral responsibility.""Ignorance refers to one of the two children presented by the Spirit, symbolizing societal neglect and the consequences of lack of awareness.""Ignorance personifies a societal failing, depicted as a child, warning of the dangers of neglect and moral responsibility.""Ignorance refers to one of the two children presented by the Spirit, symbolizing societal neglect and the consequences of lack of awareness.""Ignorance personifies a societal failing, depicted as a child, warning of the dangers of neglect and moral responsibility.""Ignorance refers to one of the two children presented by the Spirit, symbolizing societal neglect and the consequences of lack of awareness."', 'source_id': 'chunk-02baee20cc9463dbe08170a8e1043e32chunk-e7637ff18c5ded77a68cce0a87883fad'}> -2024-10-30 06:54:26,168 - lightrag - INFO - get_node:query:MATCH (n:`MARLEY'S GHOST`) RETURN n:result:chunk-9c43dac2fcd5b578242d907ea6f8fc7bchunk-cb661c37436355ccec2769b1d0350c5fchunk-1aa50206d02ed89418f65f97c6441d1c'}> -2024-10-30 06:54:26,256 - lightrag - INFO - get_node:query:MATCH (n:`SCROOGE'S NIECE`) RETURN n:result:"Scrooge\'s Niece is a lively character who expresses indignation towards Scrooge\'s disdain for Christmas and embodies warmth and charm, showing affection and concern for family.""Scrooge\'s Niece is a lively character who expresses indignation towards Scrooge\'s disdain for Christmas and embodies warmth and charm, showing affection and concern for family.""Scrooge\'s Niece is a lively character who expresses indignation towards Scrooge\'s disdain for Christmas and embodies warmth and charm, showing affection and concern for family.""Scrooge\'s Niece is a lively character who expresses indignation towards Scrooge\'s disdain for Christmas and embodies warmth and charm, showing affection and concern for family.""Scrooge\'s Niece is depicted as a beautiful and lively character who expresses strong opinions about her uncle Scrooge.""Scrooge\'s niece is depicted as a joyful participant in the evening\'s festivities, engaging in games and music.""Scrooge\'s niece is a central figure in the family gathering, enjoying the festivities and games, showing a loving and vibrant personality.""Scrooge\'s niece is a central figure in the family gathering, enjoying the festivities and games, showing a loving and vibrant personality.""Scrooge\'s niece is a central figure in the family gathering, enjoying the festivities and games, showing a loving and vibrant personality.""Scrooge\'s niece is a central figure in the family gathering, enjoying the festivities and games, showing a loving and vibrant personality.""Scrooge\'s niece is a central figure in the family gathering, enjoying the festivities and games, showing a loving and vibrant personality."', 'source_id': 'chunk-773d0df1dd25c356f7b771d780583e09chunk-43c9bee23adfa77aa9dedd22401bba7d'}> -2024-10-30 06:54:26,344 - lightrag - INFO - get_node:query:MATCH (n:`TINY TIM`) RETURN n:result:chunk-19d72c57ae3408758b18d2568e86dc6bchunk-503f0bfa5453467c7c61d160a3540ecachunk-91572b3cd42786ba4cb2f180ca25cbf4chunk-9e3921da66da5d761ab73cd849af6c43chunk-8f738cb25d60a7dab782162d9d0a25edchunk-94bea83e7153fc2064aa382b494936a1chunk-83ac129dc9b56f84c46760d153d68e93chunk-7e2e7ebcc19a53b399dc03aded4743e7chunk-1d4b58de5429cd1261370c231c8673e8'}> -2024-10-30 06:54:26,434 - lightrag - INFO - get_node:query:MATCH (n:`TIM`) RETURN n:result: -2024-10-30 06:54:26,519 - lightrag - INFO - get_node:query:MATCH (n:`THE SPIRIT`) RETURN n:result:chunk-b0f459f5af1c3a5e0b92cbe4ee48b77bchunk-da2472b4ef2a535b62908f14d0fb0ca9chunk-e1f29eeadc1d8ab46dc8a0bbd3c56b64chunk-19d72c57ae3408758b18d2568e86dc6bchunk-503f0bfa5453467c7c61d160a3540ecachunk-91614df5cb74cbe5e109a338a82041e9chunk-91572b3cd42786ba4cb2f180ca25cbf4chunk-f1a4fbcf1ed86864b9bfd5e8dba4c683chunk-8590d9263cd2cd4fa583c432fc54e6c3chunk-b2f98bc7abb0c67d4c86055c7fd72218chunk-bb21d58d36c6306fd8810ddd51c4a971'}> -2024-10-30 06:54:26,606 - lightrag - INFO - get_node:query:MATCH (n:`JACOB MARLEY`) RETURN n:result:"Jacob Marley is Scrooge\'s deceased partner, who appears in spirit to influence Scrooge\'s journey towards redemption.""Jacob Marley is a spirit who influences Scrooge\'s change of heart, representing a connection to Scrooge\'s past and the theme of redemption.""Jacob Marley is the deceased business partner of Scrooge, whose ghost visits him to convey a message about the importance of charity and kindness.""Jacob Marley is the deceased partner of Scrooge who shows concern for Scrooge\'s fate and the importance of change in his life.""Jacob Marley is the ghost of Scrooge\'s former business partner, who foretells the consequences of Scrooge\'s selfishness and warns him to change his ways.""Jacob Marley is the ghost of Scrooge\'s former partner, who appears to warn Scrooge about his fate and the need for change in his life."Jacob Marley is Scrooge\'s deceased business partner, who appears as a ghost, prominently wearing chains that symbolize the burdens of his past misdeeds and the weight of his regrets. As a spirit, Marley plays a pivotal role in influencing Ebenezer Scrooge\'s journey toward redemption. He visits Scrooge to convey significant messages about the dire consequences of a life devoid of compassion and the critical importance of charity and kindness.\n\nMarley\'s haunting presence serves as a warning to Scrooge about his impending fate if he continues on his selfish and isolated path. He is depicted as showing genuine concern for Scrooge\'s welfare and the necessity for transformative change in his life. Through his visitation, Marley acts as a catalyst, compelling Scrooge to reflect on his past actions and their impact on others. His connection to Scrooge\'s history reinforces the themes of redemption and personal responsibility, emphasizing the potential for transformation and renewal in the face of prior wrongdoings. Ultimately, Jacob Marley\'s spirit not only acts as a reminder of the consequences of one\'s choices but also highlights the possibility of change and growth through self-awareness and connection to humanity.', 'source_id': 'chunk-90b95db5c53e4364a6bee36b7aa4d70fchunk-359187e7571bda4b0b08b2e0b6581e52chunk-da2472b4ef2a535b62908f14d0fb0ca9chunk-02baee20cc9463dbe08170a8e1043e32chunk-1aa50206d02ed89418f65f97c6441d1cchunk-91572b3cd42786ba4cb2f180ca25cbf4chunk-cb661c37436355ccec2769b1d0350c5f'}> -2024-10-30 06:54:26,694 - lightrag - INFO - get_node:query:MATCH (n:`THE CRATCHIT HOUSE`) RETURN n:result: -2024-10-30 06:54:26,783 - lightrag - INFO - get_node:query:MATCH (n:`SPIRIT`) RETURN n:result:"The Spirit represents a ghostly figure guiding Scrooge through reflections related to a death, illustrating lessons about life and mortality.""The Spirit represents a supernatural being guiding Scrooge through lessons about the consequences of his actions and the future.""The Spirit represents a supernatural entity guiding Scrooge and teaching him lessons about compassion and humanity."The "Spirit" represents a multifaceted supernatural entity that plays a crucial role in guiding Ebenezer Scrooge through profound reflections on his life, death, and human emotions. Central to the narrative is the Spirit\'s embodiment of the essence of Marley, which interacts with Scrooge to highlight themes related to the afterlife and unresolved issues. The Spirit manifests as various figures, most notably the Ghost of Christmas Present, who personifies the themes of generosity, merriment, and the true spirit of the Christmas season.\n\nThroughout Scrooge\'s journey, the Spirit serves as a guide, leading him through memories of his past, reflecting his former self and the influence of time on his character. The entity illustrates important lessons about compassion, social responsibility, and the consequences of his actions, urging Scrooge to confront societal issues and fostering self-awareness.\n\nThe Spirit also emphasizes the somber aspects of life, illustrating lessons about mortality and the inevitability of death, prompting Scrooge to reflect on the implications of his life choices. Overall, the Spirit encapsulates the intersection of compassion, humanity, and the moral lessons inherent in the experience of life, serving as a catalyst for Scrooge\'s transformation and awakening.', 'source_id': 'chunk-e7637ff18c5ded77a68cce0a87883fadchunk-02baee20cc9463dbe08170a8e1043e32chunk-1aa50206d02ed89418f65f97c6441d1cchunk-83ac129dc9b56f84c46760d153d68e93chunk-843b5b2f944c7413d9ca876e2e2f151fchunk-bb21d58d36c6306fd8810ddd51c4a971'}> -2024-10-30 06:54:26,875 - lightrag - INFO - get_node:query:MATCH (n:`MARLEY`) RETURN n:result:"Marley is Scrooge\'s deceased business partner whose presence looms over the story, symbolizing the consequences of a life similar to Scrooge\'s.""Marley is Scrooge\'s deceased business partner, whose death is a significant event that sets the tone for the story.""Marley is Scrooge\'s deceased business partner, whose death is mentioned as impactful, having passed seven years prior to the events in the text.""Marley is depicted as a ghost, having a pigtail, waistcoat, tights, and boots, and is central to Scrooge\'s haunting experience."Marley is Scrooge\'s deceased business partner, whose presence looms over the narrative of the story, symbolizing the dire consequences of a life lived without compassion and care for others. His death serves as a significant event that sets the tone for the plot and reflects the overarching themes of regret and the supernatural.\n\nMarley passed away seven years prior to the events depicted, making his spectral appearance even more impactful. Despite being a character who is only mentioned throughout much of the story, his influence on Scrooge is profound, as reflections and memories of Marley shape Scrooge\'s perspective on life and relationships. This ghostly figure is depicted distinctly with a pigtail, waistcoat, tights, and boots, making him central to Scrooge\'s haunting experience.\n\nOverall, Marley represents the weight of past actions and the importance of empathy, acting as a harbinger of transformation for Scrooge. His ghostly manifestation evokes both fear and introspection, ultimately contributing to the moral lessons embedded in the tale."Marley is Scrooge\'s deceased business partner, whose death is a significant event that sets the tone for the story.""Marley is Scrooge\'s deceased business partner, whose death is mentioned as impactful, having passed seven years prior to the events in the text.""Marley is depicted as a ghost, having a pigtail, waistcoat, tights, and boots, and is central to Scrooge\'s haunting experience."', 'source_id': 'chunk-5dac41b3f9eeaf794f0147400b1718cdchunk-89777b838d5447c7bd1ec11282c4ee89chunk-d9aac3484185ac66045df92214d245d5chunk-9c43dac2fcd5b578242d907ea6f8fc7bchunk-843b5b2f944c7413d9ca876e2e2f151f'}> -2024-10-30 06:54:27,009 - lightrag - INFO - _find_node_degree:query: - MATCH (n:`FOG`) - RETURN COUNT{ (n)--() } AS totalEdgeCount - :result:2 -2024-10-30 06:54:27,179 - lightrag - INFO - _find_node_degree:query: - MATCH (n:`THE GHOST OF CHRISTMAS YET TO COME`) - RETURN COUNT{ (n)--() } AS totalEdgeCount - :result:1 -2024-10-30 06:54:27,347 - lightrag - INFO - _find_node_degree:query: - MATCH (n:`WANT`) - RETURN COUNT{ (n)--() } AS totalEdgeCount - :result:2 -2024-10-30 06:54:27,520 - lightrag - INFO - _find_node_degree:query: - MATCH (n:`CHILD`) - RETURN COUNT{ (n)--() } AS totalEdgeCount - :result:2 -2024-10-30 06:54:27,690 - lightrag - INFO - _find_node_degree:query: - MATCH (n:`THE PHANTOM`) - RETURN COUNT{ (n)--() } AS totalEdgeCount - :result:2 -2024-10-30 06:54:27,859 - lightrag - INFO - _find_node_degree:query: - MATCH (n:`BOB CRATCHIT`) - RETURN COUNT{ (n)--() } AS totalEdgeCount - :result:21 -2024-10-30 06:54:28,034 - lightrag - INFO - _find_node_degree:query: - MATCH (n:`SCROOGE`) - RETURN COUNT{ (n)--() } AS totalEdgeCount - :result:151 -2024-10-30 06:54:28,204 - lightrag - INFO - _find_node_degree:query: - MATCH (n:`THE GHOST OF CHRISTMAS PAST`) - RETURN COUNT{ (n)--() } AS totalEdgeCount - :result:1 -2024-10-30 06:54:28,369 - lightrag - INFO - _find_node_degree:query: - MATCH (n:`THE MEMORY`) - RETURN COUNT{ (n)--() } AS totalEdgeCount - :result:1 -2024-10-30 06:54:28,540 - lightrag - INFO - _find_node_degree:query: - MATCH (n:`COLD WEATHER`) - RETURN COUNT{ (n)--() } AS totalEdgeCount - :result:1 -2024-10-30 06:54:28,707 - lightrag - INFO - _find_node_degree:query: - MATCH (n:`THE GHOST`) - RETURN COUNT{ (n)--() } AS totalEdgeCount - :result:6 -2024-10-30 06:54:28,878 - lightrag - INFO - _find_node_degree:query: - MATCH (n:`CHRISTMAS HOLIDAYS`) - RETURN COUNT{ (n)--() } AS totalEdgeCount - :result:1 -2024-10-30 06:54:29,050 - lightrag - INFO - _find_node_degree:query: - MATCH (n:`CHRISTMAS EVE`) - RETURN COUNT{ (n)--() } AS totalEdgeCount - :result:5 -2024-10-30 06:54:29,219 - lightrag - INFO - _find_node_degree:query: - MATCH (n:`THE CORPSE`) - RETURN COUNT{ (n)--() } AS totalEdgeCount - :result:2 -2024-10-30 06:54:29,390 - lightrag - INFO - _find_node_degree:query: - MATCH (n:`GHOST`) - RETURN COUNT{ (n)--() } AS totalEdgeCount - :result:8 -2024-10-30 06:54:29,560 - lightrag - INFO - _find_node_degree:query: - MATCH (n:`JOE`) - RETURN COUNT{ (n)--() } AS totalEdgeCount - :result:3 -2024-10-30 06:54:29,724 - lightrag - INFO - _find_node_degree:query: - MATCH (n:`MANSION`) - RETURN COUNT{ (n)--() } AS totalEdgeCount - :result:2 -2024-10-30 06:54:29,893 - lightrag - INFO - _find_node_degree:query: - MATCH (n:`THE COUNTING-HOUSE`) - RETURN COUNT{ (n)--() } AS totalEdgeCount - :result:2 -2024-10-30 06:54:30,060 - lightrag - INFO - _find_node_degree:query: - MATCH (n:`THE CITY`) - RETURN COUNT{ (n)--() } AS totalEdgeCount - :result:3 -2024-10-30 06:54:30,230 - lightrag - INFO - _find_node_degree:query: - MATCH (n:`THE WOMAN`) - RETURN COUNT{ (n)--() } AS totalEdgeCount - :result:6 -2024-10-30 06:54:30,399 - lightrag - INFO - _find_node_degree:query: - MATCH (n:`MARLEY'S FUNERAL`) - RETURN COUNT{ (n)--() } AS totalEdgeCount - :result:1 -2024-10-30 06:54:30,566 - lightrag - INFO - _find_node_degree:query: - MATCH (n:`SPECTRE`) - RETURN COUNT{ (n)--() } AS totalEdgeCount - :result:1 -2024-10-30 06:54:30,733 - lightrag - INFO - _find_node_degree:query: - MATCH (n:`CHRISTMAS`) - RETURN COUNT{ (n)--() } AS totalEdgeCount - :result:25 -2024-10-30 06:54:30,905 - lightrag - INFO - _find_node_degree:query: - MATCH (n:`GRAVE`) - RETURN COUNT{ (n)--() } AS totalEdgeCount - :result:1 -2024-10-30 06:54:31,077 - lightrag - INFO - _find_node_degree:query: - MATCH (n:`THE DECEASED MAN`) - RETURN COUNT{ (n)--() } AS totalEdgeCount - :result:2 -2024-10-30 06:54:31,247 - lightrag - INFO - _find_node_degree:query: - MATCH (n:`FEZZIWIG`) - RETURN COUNT{ (n)--() } AS totalEdgeCount - :result:11 -2024-10-30 06:54:31,420 - lightrag - INFO - _find_node_degree:query: - MATCH (n:`THE DEBT`) - RETURN COUNT{ (n)--() } AS totalEdgeCount - :result:1 -2024-10-30 06:54:31,587 - lightrag - INFO - _find_node_degree:query: - MATCH (n:`GHOST OF CHRISTMAS PAST`) - RETURN COUNT{ (n)--() } AS totalEdgeCount - :result:5 -2024-10-30 06:54:31,758 - lightrag - INFO - _find_node_degree:query: - MATCH (n:`IGNORANCE`) - RETURN COUNT{ (n)--() } AS totalEdgeCount - :result:4 -2024-10-30 06:54:31,936 - lightrag - INFO - _find_node_degree:query: - MATCH (n:`MARLEY'S GHOST`) - RETURN COUNT{ (n)--() } AS totalEdgeCount - :result:8 -2024-10-30 06:54:32,107 - lightrag - INFO - _find_node_degree:query: - MATCH (n:`SCROOGE'S NIECE`) - RETURN COUNT{ (n)--() } AS totalEdgeCount - :result:5 -2024-10-30 06:54:32,284 - lightrag - INFO - _find_node_degree:query: - MATCH (n:`TINY TIM`) - RETURN COUNT{ (n)--() } AS totalEdgeCount - :result:12 -2024-10-30 06:54:32,455 - lightrag - INFO - _find_node_degree:query: - MATCH (n:`TIM`) - RETURN COUNT{ (n)--() } AS totalEdgeCount - :result:1 -2024-10-30 06:54:32,622 - lightrag - INFO - _find_node_degree:query: - MATCH (n:`THE SPIRIT`) - RETURN COUNT{ (n)--() } AS totalEdgeCount - :result:8 -2024-10-30 06:54:32,791 - lightrag - INFO - _find_node_degree:query: - MATCH (n:`JACOB MARLEY`) - RETURN COUNT{ (n)--() } AS totalEdgeCount - :result:7 -2024-10-30 06:54:32,963 - lightrag - INFO - _find_node_degree:query: - MATCH (n:`THE CRATCHIT HOUSE`) - RETURN COUNT{ (n)--() } AS totalEdgeCount - :result:2 -2024-10-30 06:54:33,137 - lightrag - INFO - _find_node_degree:query: - MATCH (n:`SPIRIT`) - RETURN COUNT{ (n)--() } AS totalEdgeCount - :result:13 -2024-10-30 06:54:33,309 - lightrag - INFO - _find_node_degree:query: - MATCH (n:`MARLEY`) - RETURN COUNT{ (n)--() } AS totalEdgeCount - :result:5 -2024-10-30 06:54:33,363 - lightrag - INFO - Global query uses 18 entites, 37 relations, 3 text units diff --git a/neo4jWorkDir/vdb_chunks.json b/neo4jWorkDir/vdb_chunks.json deleted file mode 100644 index 68ad9377..00000000 --- a/neo4jWorkDir/vdb_chunks.json +++ /dev/null @@ -1 +0,0 @@ -{"embedding_dim": 1536, "data": [{"__id__": "chunk-9e3921da66da5d761ab73cd849af6c43"}, {"__id__": "chunk-89777b838d5447c7bd1ec11282c4ee89"}, 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"} \ No newline at end of file diff --git a/testkg.py b/test_neo4j.py similarity index 93% rename from testkg.py rename to test_neo4j.py index c90edde9..6c789479 100644 --- a/testkg.py +++ b/test_neo4j.py @@ -17,12 +17,12 @@ working_dir=WORKING_DIR, llm_model_func=gpt_4o_mini_complete, # Use gpt_4o_mini_complete LLM model kg="Neo4JStorage", - log_level="INFO" + log_level="DEBUG" # llm_model_func=gpt_4o_complete # Optionally, use a stronger model ) -# with open("./book.txt") as f: -# rag.insert(f.read()) +with open("./book.txt") as f: + rag.insert(f.read()) # Perform naive search print(rag.query("What are the top themes in this story?", param=QueryParam(mode="naive"))) From 8547dd4941b941b21c2a303d96ba8170ee12b2d9 Mon Sep 17 00:00:00 2001 From: Ken Wiltshire Date: Fri, 1 Nov 2024 16:13:39 -0400 Subject: [PATCH 139/258] cleaning code for pull --- lightrag/kg/neo4j_impl.py | 3 --- 1 file changed, 3 deletions(-) diff --git a/lightrag/kg/neo4j_impl.py b/lightrag/kg/neo4j_impl.py index 289b62df..a7c39fec 100644 --- a/lightrag/kg/neo4j_impl.py +++ b/lightrag/kg/neo4j_impl.py @@ -37,9 +37,6 @@ def __post_init__(self): PASSWORD = os.environ["NEO4J_PASSWORD"] else: raise Exception (f"One or more Neo4J Credentials, {credetial_parts}, not found in the environment") - print (f"uri: {URI}") - print (f"uri: {USERNAME}") - print (f"uri: {PASSWORD}") self._driver = GraphDatabase.driver(URI, auth=(USERNAME, PASSWORD)) self._node_embed_algorithms = { From 465c9a13d984ab8c9bdf4cc20c5e628f285e09e8 Mon Sep 17 00:00:00 2001 From: Ken Wiltshire Date: Fri, 1 Nov 2024 16:29:36 -0400 Subject: [PATCH 140/258] cleaning code for pull --- Dockerfile | 56 +++++++++++++++++++++++++++++ README.md | 5 ++- lightrag/kg/neo4j_impl.py | 75 ++------------------------------------- test.py | 22 +----------- test_neo4j.py | 2 +- 5 files changed, 64 insertions(+), 96 deletions(-) create mode 100644 Dockerfile diff --git a/Dockerfile b/Dockerfile new file mode 100644 index 00000000..1b60c089 --- /dev/null +++ b/Dockerfile @@ -0,0 +1,56 @@ +FROM debian:bullseye-slim +ENV JAVA_HOME=/opt/java/openjdk +COPY --from=eclipse-temurin:17 $JAVA_HOME $JAVA_HOME +ENV PATH="${JAVA_HOME}/bin:${PATH}" \ + NEO4J_SHA256=7ce97bd9a4348af14df442f00b3dc5085b5983d6f03da643744838c7a1bc8ba7 \ + NEO4J_TARBALL=neo4j-enterprise-5.24.2-unix.tar.gz \ + NEO4J_EDITION=enterprise \ + NEO4J_HOME="/var/lib/neo4j" \ + LANG=C.UTF-8 +ARG NEO4J_URI=https://dist.neo4j.org/neo4j-enterprise-5.24.2-unix.tar.gz + +RUN addgroup --gid 7474 --system neo4j && adduser --uid 7474 --system --no-create-home --home "${NEO4J_HOME}" --ingroup neo4j neo4j + +COPY ./local-package/* /startup/ + +RUN apt update \ + && apt-get install -y curl gcc git jq make procps tini wget \ + && curl --fail --silent --show-error --location --remote-name ${NEO4J_URI} \ + && echo "${NEO4J_SHA256} ${NEO4J_TARBALL}" | sha256sum -c --strict --quiet \ + && tar --extract --file ${NEO4J_TARBALL} --directory /var/lib \ + && mv /var/lib/neo4j-* "${NEO4J_HOME}" \ + && rm ${NEO4J_TARBALL} \ + && sed -i 's/Package Type:.*/Package Type: docker bullseye/' $NEO4J_HOME/packaging_info \ + && mv /startup/neo4j-admin-report.sh "${NEO4J_HOME}"/bin/neo4j-admin-report \ + && mv "${NEO4J_HOME}"/data /data \ + && mv "${NEO4J_HOME}"/logs /logs \ + && chown -R neo4j:neo4j /data \ + && chmod -R 777 /data \ + && chown -R neo4j:neo4j /logs \ + && chmod -R 777 /logs \ + && chown -R neo4j:neo4j "${NEO4J_HOME}" \ + && chmod -R 777 "${NEO4J_HOME}" \ + && chmod -R 755 "${NEO4J_HOME}/bin" \ + && ln -s /data "${NEO4J_HOME}"/data \ + && ln -s /logs "${NEO4J_HOME}"/logs \ + && git clone https://github.com/ncopa/su-exec.git \ + && cd su-exec \ + && git checkout 4c3bb42b093f14da70d8ab924b487ccfbb1397af \ + && echo d6c40440609a23483f12eb6295b5191e94baf08298a856bab6e15b10c3b82891 su-exec.c | sha256sum -c \ + && echo 2a87af245eb125aca9305a0b1025525ac80825590800f047419dc57bba36b334 Makefile | sha256sum -c \ + && make \ + && mv /su-exec/su-exec /usr/bin/su-exec \ + && apt-get -y purge --auto-remove curl gcc git make \ + && rm -rf /var/lib/apt/lists/* /su-exec + + +ENV PATH "${NEO4J_HOME}"/bin:$PATH + +WORKDIR "${NEO4J_HOME}" + +VOLUME /data /logs + +EXPOSE 7474 7473 7687 + +ENTRYPOINT ["tini", "-g", "--", "/startup/docker-entrypoint.sh"] +CMD ["neo4j"] \ No newline at end of file diff --git a/README.md b/README.md index cc54fcd0..33abb13b 100644 --- a/README.md +++ b/README.md @@ -160,7 +160,10 @@ rag = LightRAG( Using Neo4J for Storage * For production level scenarios you will most likely want to leverage an enterprise solution -for KG storage. +* for KG storage. Running Neo4J in Docker is recommended for seamless local testing. +* See: https://hub.docker.com/_/neo4j + + ```python export NEO4J_URI="neo4j://localhost:7687" export NEO4J_USERNAME="neo4j" diff --git a/lightrag/kg/neo4j_impl.py b/lightrag/kg/neo4j_impl.py index a7c39fec..9ad725b7 100644 --- a/lightrag/kg/neo4j_impl.py +++ b/lightrag/kg/neo4j_impl.py @@ -74,9 +74,6 @@ def _check_edge_existence(tx, label1, label2): ) result = tx.run(query) single_result = result.single() - # if result.single() == None: - # print (f"this should not happen: ---- {label1}/{label2} {query}") - logger.debug( f'{inspect.currentframe().f_code.co_name}:query:{query}:result:{single_result["edgeExists"]}' ) @@ -84,7 +81,7 @@ def _check_edge_existence(tx, label1, label2): return single_result["edgeExists"] def close(self): self._driver.close() - #hard code relaitionship type + #hard code relaitionship type, directed. with self._driver.session() as session: result = session.read_transaction(_check_edge_existence, entity_name_label_source, entity_name_label_target) return result @@ -111,7 +108,6 @@ async def node_degree(self, node_id: str) -> int: def _find_node_degree(session, label): with session.begin_transaction() as tx: - # query = "MATCH (n:`{label}`) RETURN n, size((n)--()) AS degree".format(label=label) query = f""" MATCH (n:`{label}`) RETURN COUNT{{ (n)--() }} AS totalEdgeCount @@ -132,7 +128,6 @@ def _find_node_degree(session, label): return degree - # degree = session.read_transaction(get_edge_degree, 1, 2) async def edge_degree(self, src_id: str, tgt_id: str) -> int: entity_name_label_source = src_id.strip('\"') entity_name_label_target = tgt_id.strip('\"') @@ -208,7 +203,6 @@ def fetch_edges(tx, label): target_label = list(connected_node.labels)[0] if connected_node and connected_node.labels else None if source_label and target_label: - print (f"appending: {(source_label, target_label)}") edges.append((source_label, target_label)) return edges @@ -218,44 +212,6 @@ def fetch_edges(tx, label): return edges - - # from typing import List, Tuple - # async def get_node_connections(driver: GraphDatabase.driver, label: str) -> List[Tuple[str, str]]: - # def get_connections_for_node(tx): - # query = f""" - # MATCH (n:`{label}`) - # OPTIONAL MATCH (n)-[r]-(connected) - # RETURN n, r, connected - # """ - # results = tx.run(query) - - - # connections = [] - # for record in results: - # source_node = record['n'] - # connected_node = record['connected'] - - # source_label = list(source_node.labels)[0] if source_node.labels else None - # target_label = list(connected_node.labels)[0] if connected_node and connected_node.labels else None - - # if source_label and target_label: - # connections.append((source_label, target_label)) - - # logger.debug( - # f'{inspect.currentframe().f_code.co_name}:query:{query}:result:{connections}' - # ) - # return connections - - # with driver.session() as session: - - # return session.read_transaction(get_connections_for_node) - - - - - - #upsert_node - @retry( stop=stop_after_attempt(3), wait=wait_exponential(multiplier=1, min=4, max=10), @@ -366,32 +322,5 @@ def _do_upsert_edge(tx, source_node_label: str, target_node_label: str, edge_pro # return result async def _node2vec_embed(self): - print ("this is never called. checking to be sure.") + print ("Implemented but never called.") - # async def _node2vec_embed(self): - with self._driver.session() as session: - #Define the Cypher query - options = self.global_config["node2vec_params"] - logger.debug(f"building embeddings with options {options}") - query = f"""CALL gds.node2vec.write('91fbae6c', { - options - }) - YIELD nodeId, labels, embedding - RETURN - nodeId AS id, - labels[0] AS distinctLabel, - embedding AS nodeToVecEmbedding - """ - # Run the query and process the results - results = session.run(query) - embeddings = [] - node_labels = [] - for record in results: - node_id = record["id"] - embedding = record["nodeToVecEmbedding"] - label = record["distinctLabel"] - print(f"Node id/label: {label}/{node_id}, Embedding: {embedding}") - embeddings.append(embedding) - node_labels.append(label) - return embeddings, node_labels - diff --git a/test.py b/test.py index aa7179c1..219e23eb 100644 --- a/test.py +++ b/test.py @@ -8,27 +8,7 @@ # nest_asyncio.apply() ######### -WORKING_DIR = "./dickensTestEmbedcall" - - -# G = nx.read_graphml('./dickensTestEmbedcall/graph_chunk_entity_relation.graphml') -# nx.write_gexf(G, "graph_chunk_entity_relation.gefx") - -import networkx as nx -from networkx_query import search_nodes, search_edges -G = nx.read_graphml('./dickensTestEmbedcall/graph_chunk_entity_relation.graphml') -query = {} # Empty query matches all nodes -result = search_nodes(G, query) - -# Extract node IDs from the result -node_ids = sorted([node for node in result]) - -print("All node IDs in the graph:") -pprint(node_ids) -raise Exception - - -# raise Exception +WORKING_DIR = "./dickens" if not os.path.exists(WORKING_DIR): os.mkdir(WORKING_DIR) diff --git a/test_neo4j.py b/test_neo4j.py index 6c789479..044c12e9 100644 --- a/test_neo4j.py +++ b/test_neo4j.py @@ -17,7 +17,7 @@ working_dir=WORKING_DIR, llm_model_func=gpt_4o_mini_complete, # Use gpt_4o_mini_complete LLM model kg="Neo4JStorage", - log_level="DEBUG" + log_level="INFO" # llm_model_func=gpt_4o_complete # Optionally, use a stronger model ) From 8bd5d9b5b209c14b83bdc11bcc20e190a3d6a503 Mon Sep 17 00:00:00 2001 From: Ken Wiltshire Date: Sat, 2 Nov 2024 18:35:07 -0400 Subject: [PATCH 141/258] using neo4j async --- lightrag/kg/neo4j_impl.py | 306 +++++++++++++++++--------------------- lightrag/lightrag.py | 11 +- lightrag/llm.py | 2 +- lightrag/operate.py | 2 +- test_neo4j.py | 1 + 5 files changed, 142 insertions(+), 180 deletions(-) diff --git a/lightrag/kg/neo4j_impl.py b/lightrag/kg/neo4j_impl.py index 9ad725b7..4905caf2 100644 --- a/lightrag/kg/neo4j_impl.py +++ b/lightrag/kg/neo4j_impl.py @@ -2,14 +2,16 @@ import html import os from dataclasses import dataclass -from typing import Any, Union, cast +from typing import Any, Union, cast, Tuple, List, Dict import numpy as np import inspect from lightrag.utils import load_json, logger, write_json from ..base import ( BaseGraphStorage ) -from neo4j import GraphDatabase, exceptions as neo4jExceptions +from neo4j import AsyncGraphDatabase,exceptions as neo4jExceptions,AsyncDriver,AsyncSession, AsyncManagedTransaction + +from contextlib import asynccontextmanager from tenacity import ( @@ -20,126 +22,135 @@ ) - @dataclass -class GraphStorage(BaseGraphStorage): +class Neo4JStorage(BaseGraphStorage): @staticmethod def load_nx_graph(file_name): print ("no preloading of graph with neo4j in production") + def __init__(self, namespace, global_config): + super().__init__(namespace=namespace, global_config=global_config) + self._driver = None + self._driver_lock = asyncio.Lock() + URI = os.environ["NEO4J_URI"] + USERNAME = os.environ["NEO4J_USERNAME"] + PASSWORD = os.environ["NEO4J_PASSWORD"] + self._driver: AsyncDriver = AsyncGraphDatabase.driver(URI, auth=(USERNAME, PASSWORD)) + return None + def __post_init__(self): # self._graph = preloaded_graph or nx.Graph() + print("is this ever run") credetial_parts = ['URI', 'USERNAME','PASSWORD'] credentials_set = all(x in os.environ for x in credetial_parts ) - if credentials_set: - URI = os.environ["NEO4J_URI"] - USERNAME = os.environ["NEO4J_USERNAME"] - PASSWORD = os.environ["NEO4J_PASSWORD"] - else: - raise Exception (f"One or more Neo4J Credentials, {credetial_parts}, not found in the environment") - - self._driver = GraphDatabase.driver(URI, auth=(USERNAME, PASSWORD)) self._node_embed_algorithms = { "node2vec": self._node2vec_embed, } + + async def close(self): + if self._driver: + await self._driver.close() + self._driver = None + + + + async def __aexit__(self, exc_type, exc, tb): + if self._driver: + await self._driver.close() + async def index_done_callback(self): print ("KG successfully indexed.") + + async def has_node(self, node_id: str) -> bool: entity_name_label = node_id.strip('\"') - def _check_node_exists(tx, label): - query = f"MATCH (n:`{label}`) RETURN count(n) > 0 AS node_exists" - result = tx.run(query) - single_result = result.single() + async with self._driver.session() as session: + query = f"MATCH (n:`{entity_name_label}`) RETURN count(n) > 0 AS node_exists" + result = await session.run(query) + single_result = await result.single() logger.debug( f'{inspect.currentframe().f_code.co_name}:query:{query}:result:{single_result["node_exists"]}' ) - return single_result["node_exists"] - - with self._driver.session() as session: - return session.read_transaction(_check_node_exists, entity_name_label) - - + async def has_edge(self, source_node_id: str, target_node_id: str) -> bool: entity_name_label_source = source_node_id.strip('\"') entity_name_label_target = target_node_id.strip('\"') - - def _check_edge_existence(tx, label1, label2): + async with self._driver.session() as session: query = ( - f"MATCH (a:`{label1}`)-[r]-(b:`{label2}`) " + f"MATCH (a:`{entity_name_label_source}`)-[r]-(b:`{entity_name_label_target}`) " "RETURN COUNT(r) > 0 AS edgeExists" ) - result = tx.run(query) - single_result = result.single() + result = await session.run(query) + single_result = await result.single() logger.debug( f'{inspect.currentframe().f_code.co_name}:query:{query}:result:{single_result["edgeExists"]}' ) - return single_result["edgeExists"] + def close(self): self._driver.close() - #hard code relaitionship type, directed. - with self._driver.session() as session: - result = session.read_transaction(_check_edge_existence, entity_name_label_source, entity_name_label_target) - return result + async def get_node(self, node_id: str) -> Union[dict, None]: - entity_name_label = node_id.strip('\"') - with self._driver.session() as session: - query = "MATCH (n:`{entity_name_label}`) RETURN n".format(entity_name_label=entity_name_label) - result = session.run(query) - for record in result: - result = record["n"] + async with self._driver.session() as session: + entity_name_label = node_id.strip('\"') + query = f"MATCH (n:`{entity_name_label}`) RETURN n" + result = await session.run(query) + record = await result.single() + if record: + node = record["n"] + node_dict = dict(node) logger.debug( - f'{inspect.currentframe().f_code.co_name}:query:{query}:result:{result}' - ) - return result - + f'{inspect.currentframe().f_code.co_name}: query: {query}, result: {node_dict}' + ) + return node_dict + return None + async def node_degree(self, node_id: str) -> int: entity_name_label = node_id.strip('\"') - - def _find_node_degree(session, label): - with session.begin_transaction() as tx: - query = f""" - MATCH (n:`{label}`) - RETURN COUNT{{ (n)--() }} AS totalEdgeCount - """ - result = tx.run(query) - record = result.single() - if record: - edge_count = record["totalEdgeCount"] - logger.debug( - f'{inspect.currentframe().f_code.co_name}:query:{query}:result:{edge_count}' - ) - return edge_count - else: - return None + async with self._driver.session() as session: + query = f""" + MATCH (n:`{entity_name_label}`) + RETURN COUNT{{ (n)--() }} AS totalEdgeCount + """ + result = await session.run(query) + record = await result.single() + if record: + edge_count = record["totalEdgeCount"] + logger.debug( + f'{inspect.currentframe().f_code.co_name}:query:{query}:result:{edge_count}' + ) + return edge_count + else: + return None - with self._driver.session() as session: - degree = _find_node_degree(session, entity_name_label) - return degree - async def edge_degree(self, src_id: str, tgt_id: str) -> int: entity_name_label_source = src_id.strip('\"') entity_name_label_target = tgt_id.strip('\"') - with self._driver.session() as session: - query = f"""MATCH (n1:`{entity_name_label_source}`)-[r]-(n2:`{entity_name_label_target}`) - RETURN count(r) AS degree""" - result = session.run(query) - record = result.single() - logger.debug( - f'{inspect.currentframe().f_code.co_name}:query:{query}:result:{record["degree"]}' - ) - return record["degree"] + src_degree = await self.node_degree(entity_name_label_source) + trg_degree = await self.node_degree(entity_name_label_target) + + # Convert None to 0 for addition + src_degree = 0 if src_degree is None else src_degree + trg_degree = 0 if trg_degree is None else trg_degree + + degrees = int(src_degree) + int(trg_degree) + logger.debug( + f'{inspect.currentframe().f_code.co_name}:query:src_Degree+trg_degree:result:{degrees}' + ) + return degrees + + async def get_edge(self, source_node_id: str, target_node_id: str) -> Union[dict, None]: entity_name_label_source = source_node_id.strip('\"') @@ -154,15 +165,15 @@ async def get_edge(self, source_node_id: str, target_node_id: str) -> Union[dict Returns: list: List of all relationships/edges found """ - with self._driver.session() as session: + async with self._driver.session() as session: query = f""" MATCH (start:`{entity_name_label_source}`)-[r]->(end:`{entity_name_label_target}`) RETURN properties(r) as edge_properties LIMIT 1 """.format(entity_name_label_source=entity_name_label_source, entity_name_label_target=entity_name_label_target) - result = session.run(query) - record = result.single() + result = await session.run(query) + record = await result.single() if record: result = dict(record["edge_properties"]) logger.debug( @@ -173,29 +184,20 @@ async def get_edge(self, source_node_id: str, target_node_id: str) -> Union[dict return None - async def get_node_edges(self, source_node_id: str): + async def get_node_edges(self, source_node_id: str)-> List[Tuple[str, str]]: node_label = source_node_id.strip('\"') """ - Retrieves all edges (relationships) for a particular node identified by its label and ID. - - :param uri: Neo4j database URI - :param username: Neo4j username - :param password: Neo4j password - :param node_label: Label of the node - :param node_id: ID property of the node + Retrieves all edges (relationships) for a particular node identified by its label. :return: List of dictionaries containing edge information """ - - def fetch_edges(tx, label): - query = f"""MATCH (n:`{label}`) + query = f"""MATCH (n:`{node_label}`) OPTIONAL MATCH (n)-[r]-(connected) RETURN n, r, connected""" - - results = tx.run(query) - + async with self._driver.session() as session: + results = await session.run(query) edges = [] - for record in results: + async for record in results: source_node = record['n'] connected_node = record['connected'] @@ -207,7 +209,7 @@ def fetch_edges(tx, label): return edges - with self._driver.session() as session: + async with self._driver.session() as session: edges = session.read_transaction(fetch_edges,node_label) return edges @@ -217,86 +219,51 @@ def fetch_edges(tx, label): wait=wait_exponential(multiplier=1, min=4, max=10), retry=retry_if_exception_type((neo4jExceptions.ServiceUnavailable, neo4jExceptions.TransientError, neo4jExceptions.WriteServiceUnavailable)), ) - async def upsert_node(self, node_id: str, node_data: dict[str, str]): - label = node_id.strip('\"') - properties = node_data + async def upsert_node(self, node_id: str, node_data: Dict[str, Any]): """ - Upsert a node with the given label and properties within a transaction. + Upsert a node in the Neo4j database. + Args: - label: The node label to search for and apply - properties: Dictionary of node properties - - Returns: - Dictionary containing the node's properties after upsert, or None if operation fails + node_id: The unique identifier for the node (used as label) + node_data: Dictionary of node properties """ - def _do_upsert(tx, label: str, properties: dict[str, Any]): - - """ - Args: - tx: Neo4j transaction object - label: The node label to search for and apply - properties: Dictionary of node properties - - Returns: - Dictionary containing the node's properties after upsert, or None if operation fails - """ + label = node_id.strip('\"') + properties = node_data + async def _do_upsert(tx: AsyncManagedTransaction): query = f""" MERGE (n:`{label}`) SET n += $properties - RETURN n """ - # Execute the query with properties as parameters - # with session.begin_transaction() as tx: - result = tx.run(query, properties=properties) - record = result.single() - if record: - logger.debug( - f'{inspect.currentframe().f_code.co_name}:query:{query}:result:{dict(record["n"])}' - ) - return dict(record["n"]) - return None - - - with self._driver.session() as session: - with session.begin_transaction() as tx: - try: - result = _do_upsert(tx,label,properties) - tx.commit() - return result - except Exception as e: - raise # roll back - + await tx.run(query, properties=properties) + logger.debug(f"Upserted node with label '{label}' and properties: {properties}") + + try: + async with self._driver.session() as session: + await session.execute_write(_do_upsert) + except Exception as e: + logger.error(f"Error during upsert: {str(e)}") + raise - - async def upsert_edge(self, source_node_id: str, target_node_id: str, edge_data: dict[str, str]) -> None: - source_node_label = source_node_id.strip('\"') - target_node_label = target_node_id.strip('\"') - edge_properties = edge_data + @retry( + stop=stop_after_attempt(3), + wait=wait_exponential(multiplier=1, min=4, max=10), + retry=retry_if_exception_type((neo4jExceptions.ServiceUnavailable, neo4jExceptions.TransientError, neo4jExceptions.WriteServiceUnavailable)), + ) + async def upsert_edge(self, source_node_id: str, target_node_id: str, edge_data: Dict[str, Any]): """ Upsert an edge and its properties between two nodes identified by their labels. - + Args: - source_node_label (str): Label of the source node (used as identifier) - target_node_label (str): Label of the target node (used as identifier) - edge_properties (dict): Dictionary of properties to set on the edge + source_node_id (str): Label of the source node (used as identifier) + target_node_id (str): Label of the target node (used as identifier) + edge_data (dict): Dictionary of properties to set on the edge """ - - - - def _do_upsert_edge(tx, source_node_label: str, target_node_label: str, edge_properties: dict[str, Any]) -> None: - """ - Static method to perform the edge upsert within a transaction. - - The query will: - 1. Match the source and target nodes by their labels - 2. Merge the DIRECTED relationship - 3. Set all properties on the relationship, updating existing ones and adding new ones - """ - # Convert edge properties to Cypher parameter string - # props_string = ", ".join(f"r.{key} = ${key}" for key in edge_properties.keys()) + source_node_label = source_node_id.strip('\"') + target_node_label = target_node_id.strip('\"') + edge_properties = edge_data - # """.format(props_string) + async def _do_upsert_edge(tx: AsyncManagedTransaction): query = f""" MATCH (source:`{source_node_label}`) WITH source @@ -305,22 +272,15 @@ def _do_upsert_edge(tx, source_node_label: str, target_node_label: str, edge_pro SET r += $properties RETURN r """ - - result = tx.run(query, properties=edge_properties) - logger.debug( - f'{inspect.currentframe().f_code.co_name}:query:{query}:edge_properties:{edge_properties}' - ) - return result.single() - - with self._driver.session() as session: - session.execute_write( - _do_upsert_edge, - source_node_label, - target_node_label, - edge_properties - ) - # return result - + await tx.run(query, properties=edge_properties) + logger.debug(f"Upserted edge from '{source_node_label}' to '{target_node_label}' with properties: {edge_properties}") + + try: + async with self._driver.session() as session: + await session.execute_write(_do_upsert_edge) + except Exception as e: + logger.error(f"Error during edge upsert: {str(e)}") + raise async def _node2vec_embed(self): print ("Implemented but never called.") diff --git a/lightrag/lightrag.py b/lightrag/lightrag.py index a42b806e..5d271860 100644 --- a/lightrag/lightrag.py +++ b/lightrag/lightrag.py @@ -26,7 +26,7 @@ ) from .kg.neo4j_impl import ( - GraphStorage as Neo4JStorage + Neo4JStorage ) #future KG integrations @@ -57,9 +57,10 @@ def always_get_an_event_loop() -> asyncio.AbstractEventLoop: try: loop = asyncio.get_running_loop() except RuntimeError: - logger.info("Creating a new event loop in a sub-thread.") - loop = asyncio.new_event_loop() - asyncio.set_event_loop(loop) + logger.info("Creating a new event loop in main thread.") + # loop = asyncio.new_event_loop() + # asyncio.set_event_loop(loop) + loop = asyncio.get_event_loop() return loop @@ -329,4 +330,4 @@ async def _query_done(self): if storage_inst is None: continue tasks.append(cast(StorageNameSpace, storage_inst).index_done_callback()) - await asyncio.gather(*tasks) + await asyncio.gather(*tasks) \ No newline at end of file diff --git a/lightrag/llm.py b/lightrag/llm.py index f4045e80..e93afa03 100644 --- a/lightrag/llm.py +++ b/lightrag/llm.py @@ -798,4 +798,4 @@ async def main(): result = await gpt_4o_mini_complete("How are you?") print(result) - asyncio.run(main()) + asyncio.run(main()) \ No newline at end of file diff --git a/lightrag/operate.py b/lightrag/operate.py index 6b6ba563..518bd68a 100644 --- a/lightrag/operate.py +++ b/lightrag/operate.py @@ -1083,4 +1083,4 @@ async def naive_query( .strip() ) - return response + return response \ No newline at end of file diff --git a/test_neo4j.py b/test_neo4j.py index 044c12e9..18195c32 100644 --- a/test_neo4j.py +++ b/test_neo4j.py @@ -2,6 +2,7 @@ from lightrag import LightRAG, QueryParam from lightrag.llm import gpt_4o_mini_complete, gpt_4o_complete + ######### # Uncomment the below two lines if running in a jupyter notebook to handle the async nature of rag.insert() # import nest_asyncio From 3f7ae11962864ef08b86118d5f0d1930333ebba0 Mon Sep 17 00:00:00 2001 From: zrguo <49157727+LarFii@users.noreply.github.com> Date: Sun, 3 Nov 2024 17:53:53 +0800 Subject: [PATCH 142/258] Update utils.py --- lightrag/utils.py | 15 +++------------ 1 file changed, 3 insertions(+), 12 deletions(-) diff --git a/lightrag/utils.py b/lightrag/utils.py index 7b17cbb6..254f5dad 100644 --- a/lightrag/utils.py +++ b/lightrag/utils.py @@ -176,11 +176,6 @@ def truncate_list_by_token_size(list_data: list, key: callable, max_token_size: return list_data[:i] return list_data - -# def list_of_list_to_csv(data: list[list]): -# return "\n".join( -# [",\t".join([str(data_dd) for data_dd in data_d]) for data_d in data] -# ) def list_of_list_to_csv(data: List[List[str]]) -> str: output = io.StringIO() writer = csv.writer(output) @@ -258,12 +253,11 @@ def xml_to_json(xml_file): print(f"An error occurred: {e}") return None -#混合检索中的合并函数 def process_combine_contexts(hl, ll): header = None list_hl = csv_string_to_list(hl.strip()) list_ll = csv_string_to_list(ll.strip()) - # 去掉第一个元素（如果不为空） + if list_hl: header=list_hl[0] list_hl = list_hl[1:] @@ -272,24 +266,21 @@ def process_combine_contexts(hl, ll): list_ll = list_ll[1:] if header is None: return "" - # 去掉每个子元素中的第一个元素（如果不为空），再转为一维数组，用于合并去重 + if list_hl: list_hl = [','.join(item[1:]) for item in list_hl if item] if list_ll: list_ll = [','.join(item[1:]) for item in list_ll if item] - # 合并并去重 combined_sources_set = set( filter(None, list_hl + list_ll) ) - # 创建包含头部的新列表 combined_sources = [",\t".join(header)] - # 为 combined_sources_set 中的每个元素添加自增数字 + for i, item in enumerate(combined_sources_set, start=1): combined_sources.append(f"{i},\t{item}") - # 将列表转换为字符串，子元素之间用换行符分隔 combined_sources = "\n".join(combined_sources) return combined_sources From 7af90f0129ac4f936c44d4052ce5d3f9726756fd Mon Sep 17 00:00:00 2001 From: Ken Wiltshire Date: Sun, 3 Nov 2024 07:17:02 -0500 Subject: [PATCH 143/258] linting errors fixed --- lightrag/kg/neo4j_impl.py | 8 -------- 1 file changed, 8 deletions(-) diff --git a/lightrag/kg/neo4j_impl.py b/lightrag/kg/neo4j_impl.py index 4905caf2..a258a30b 100644 --- a/lightrag/kg/neo4j_impl.py +++ b/lightrag/kg/neo4j_impl.py @@ -39,10 +39,6 @@ def __init__(self, namespace, global_config): return None def __post_init__(self): - # self._graph = preloaded_graph or nx.Graph() - print("is this ever run") - credetial_parts = ['URI', 'USERNAME','PASSWORD'] - credentials_set = all(x in os.environ for x in credetial_parts ) self._node_embed_algorithms = { "node2vec": self._node2vec_embed, } @@ -209,10 +205,6 @@ async def get_node_edges(self, source_node_id: str)-> List[Tuple[str, str]]: return edges - async with self._driver.session() as session: - edges = session.read_transaction(fetch_edges,node_label) - return edges - @retry( stop=stop_after_attempt(3), From f60368f8dbc1a07561d33adbbbd4f4a72da2839e Mon Sep 17 00:00:00 2001 From: zrguo <49157727+LarFii@users.noreply.github.com> Date: Mon, 4 Nov 2024 21:06:43 +0800 Subject: [PATCH 144/258] Update README.md --- README.md | 62 ++++++++++++++++++++++++++----------------------------- 1 file changed, 29 insertions(+), 33 deletions(-) diff --git a/README.md b/README.md index 96df79ba..d12450f9 100644 --- a/README.md +++ b/README.md @@ -22,6 +22,7 @@ This repository hosts the code of LightRAG. The structure of this code is based ## 🎉 News +- [x] [2024.11.04]🎯📢You can [use Neo4J for Storage](https://github.com/HKUDS/LightRAG/edit/main/README.md#using-neo4j-for-storage) now. - [x] [2024.10.29]🎯📢LightRAG now supports multiple file types, including PDF, DOC, PPT, and CSV via `textract`. - [x] [2024.10.20]🎯📢We’ve added a new feature to LightRAG: Graph Visualization. - [x] [2024.10.18]🎯📢We’ve added a link to a [LightRAG Introduction Video](https://youtu.be/oageL-1I0GE). Thanks to the author! @@ -161,39 +162,6 @@ rag = LightRAG( ```
- -
- Using Neo4J for Storage - -* For production level scenarios you will most likely want to leverage an enterprise solution -* for KG storage. Running Neo4J in Docker is recommended for seamless local testing. -* See: https://hub.docker.com/_/neo4j - - -```python -export NEO4J_URI="neo4j://localhost:7687" -export NEO4J_USERNAME="neo4j" -export NEO4J_PASSWORD="password" - -When you launch the project be sure to override the default KG: NetworkS -by specifying kg="Neo4JStorage". - -# Note: Default settings use NetworkX -#Initialize LightRAG with Neo4J implementation. -WORKING_DIR = "./local_neo4jWorkDir" - -rag = LightRAG( - working_dir=WORKING_DIR, - llm_model_func=gpt_4o_mini_complete, # Use gpt_4o_mini_complete LLM model - kg="Neo4JStorage", #<-----------override KG default - log_level="DEBUG" #<-----------override log_level default -) -``` -see test_neo4j.py for a working example. -
- - -
Using Ollama Models @@ -222,6 +190,34 @@ rag = LightRAG( ) ``` +### Using Neo4J for Storage + +* For production level scenarios you will most likely want to leverage an enterprise solution +* for KG storage. Running Neo4J in Docker is recommended for seamless local testing. +* See: https://hub.docker.com/_/neo4j + + +```python +export NEO4J_URI="neo4j://localhost:7687" +export NEO4J_USERNAME="neo4j" +export NEO4J_PASSWORD="password" + +When you launch the project be sure to override the default KG: NetworkS +by specifying kg="Neo4JStorage". + +# Note: Default settings use NetworkX +#Initialize LightRAG with Neo4J implementation. +WORKING_DIR = "./local_neo4jWorkDir" + +rag = LightRAG( + working_dir=WORKING_DIR, + llm_model_func=gpt_4o_mini_complete, # Use gpt_4o_mini_complete LLM model + kg="Neo4JStorage", #<-----------override KG default + log_level="DEBUG" #<-----------override log_level default +) +``` +see test_neo4j.py for a working example. + ### Increasing context size In order for LightRAG to work context should be at least 32k tokens. By default Ollama models have context size of 8k. You can achieve this using one of two ways: From 4d3697f84899873bb0e480497cf7a5f0ecaea8a7 Mon Sep 17 00:00:00 2001 From: =?UTF-8?q?=E2=9C=A8Data=20Intelligence=20Lab=40HKU=E2=9C=A8?= <118165258+HKUDS@users.noreply.github.com> Date: Tue, 5 Nov 2024 11:34:54 +0800 Subject: [PATCH 145/258] Update README.md --- README.md | 5 ++--- 1 file changed, 2 insertions(+), 3 deletions(-) diff --git a/README.md b/README.md index d12450f9..73b8a4fa 100644 --- a/README.md +++ b/README.md @@ -894,7 +894,7 @@ def extract_queries(file_path): -## Citation +## 🌟Citation ```python @article{guo2024lightrag, @@ -906,6 +906,5 @@ archivePrefix={arXiv}, primaryClass={cs.IR} } ``` - - +**Thank you for your interest in our work!** From 7789a99cb10d9bcca5c6a5714a3475d103db2eb8 Mon Sep 17 00:00:00 2001 From: zrguo <49157727+LarFii@users.noreply.github.com> Date: Tue, 5 Nov 2024 14:24:42 +0800 Subject: [PATCH 146/258] Update README.md --- README.md | 2 +- 1 file changed, 1 insertion(+), 1 deletion(-) diff --git a/README.md b/README.md index 73b8a4fa..825e903b 100644 --- a/README.md +++ b/README.md @@ -22,7 +22,7 @@ This repository hosts the code of LightRAG. The structure of this code is based ## 🎉 News -- [x] [2024.11.04]🎯📢You can [use Neo4J for Storage](https://github.com/HKUDS/LightRAG/edit/main/README.md#using-neo4j-for-storage) now. +- [x] [2024.11.04]🎯📢You can [use Neo4J for Storage](https://github.com/HKUDS/LightRAG?tab=readme-ov-file#using-neo4j-for-storage) now. - [x] [2024.10.29]🎯📢LightRAG now supports multiple file types, including PDF, DOC, PPT, and CSV via `textract`. - [x] [2024.10.20]🎯📢We’ve added a new feature to LightRAG: Graph Visualization. - [x] [2024.10.18]🎯📢We’ve added a link to a [LightRAG Introduction Video](https://youtu.be/oageL-1I0GE). Thanks to the author! From b4ab9b26b8b443338735a3f8fef5c1e52557916d Mon Sep 17 00:00:00 2001 From: zrguo <49157727+LarFii@users.noreply.github.com> Date: Tue, 5 Nov 2024 15:05:35 +0800 Subject: [PATCH 147/258] Update README.md --- README.md | 8 ++++++++ 1 file changed, 8 insertions(+) diff --git a/README.md b/README.md index 825e903b..6602f1d3 100644 --- a/README.md +++ b/README.md @@ -894,6 +894,14 @@ def extract_queries(file_path): +## Contribution + +Thank you to all our contributors! + + + + + ## 🌟Citation ```python From 9bab6300592d182c8be26ce7e2a675331610ee6b Mon Sep 17 00:00:00 2001 From: 90houlaoheshang <907333918@qq.com> Date: Tue, 5 Nov 2024 15:13:48 +0800 Subject: [PATCH 148/258] =?UTF-8?q?fastapi=E6=8E=A5=E6=94=B6=E7=8E=AF?= =?UTF-8?q?=E5=A2=83=E5=8F=98=E9=87=8FEMBEDDING=5FMODEL=E3=80=81LLM=5FMODE?= =?UTF-8?q?L=E3=80=81OPENAI=5FAPI=5FKEY=E3=80=81OPENAI=5FBASE=5FURL?= =?UTF-8?q?=E4=BB=A5=E8=87=AA=E5=AE=9A=E6=A8=A1=E5=9E=8B?= MIME-Version: 1.0 Content-Type: text/plain; charset=UTF-8 Content-Transfer-Encoding: 8bit --- .../lightrag_api_openai_compatible_demo.py | 26 ++++++++++++------- 1 file changed, 16 insertions(+), 10 deletions(-) diff --git a/examples/lightrag_api_openai_compatible_demo.py b/examples/lightrag_api_openai_compatible_demo.py index 2cd262bb..7e1f608a 100644 --- a/examples/lightrag_api_openai_compatible_demo.py +++ b/examples/lightrag_api_openai_compatible_demo.py @@ -21,19 +21,18 @@ if not os.path.exists(WORKING_DIR): os.mkdir(WORKING_DIR) + # LLM model function async def llm_model_func( - prompt, system_prompt=None, history_messages=[], **kwargs + prompt, system_prompt=None, history_messages=[], **kwargs ) -> str: return await openai_complete_if_cache( - "gpt-4o-mini", + os.environ.get("LLM_MODEL", "gpt-4o-mini"), prompt, system_prompt=system_prompt, history_messages=history_messages, - api_key="YOUR_API_KEY", - base_url="YourURL/v1", **kwargs, ) @@ -44,21 +43,28 @@ async def llm_model_func( async def embedding_func(texts: list[str]) -> np.ndarray: return await openai_embedding( texts, - model="text-embedding-3-large", - api_key="YOUR_API_KEY", - base_url="YourURL/v1", + model=os.environ.get("EMBEDDING_MODEL", "text-embedding-3-large"), ) +async def get_embedding_dim(): + test_text = ["This is a test sentence."] + embedding = await embedding_func(test_text) + embedding_dim = embedding.shape[1] + print(f"{embedding_dim=}") + return embedding_dim + + # Initialize RAG instance rag = LightRAG( working_dir=WORKING_DIR, llm_model_func=llm_model_func, - embedding_func=EmbeddingFunc( - embedding_dim=3072, max_token_size=8192, func=embedding_func - ), + embedding_func=EmbeddingFunc(embedding_dim=asyncio.run(get_embedding_dim()), + max_token_size=8192, + func=embedding_func), ) + # Data models From 78a1b8ed7bbc198a1b5089168aa5ebec6b811604 Mon Sep 17 00:00:00 2001 From: 90houlaoheshang <907333918@qq.com> Date: Tue, 5 Nov 2024 16:14:45 +0800 Subject: [PATCH 149/258] =?UTF-8?q?docs(README):=20=E6=B7=BB=E5=8A=A0?= =?UTF-8?q?=E7=8E=AF=E5=A2=83=E5=8F=98=E9=87=8F=E9=85=8D=E7=BD=AE=E8=AF=B4?= =?UTF-8?q?=E6=98=8E?= MIME-Version: 1.0 Content-Type: text/plain; charset=UTF-8 Content-Transfer-Encoding: 8bit - 在 README.md 文件中补充了环境变量配置步骤 - 新增 OPENAI_BASE_URL、OPENAI_API_KEY、LLM_MODEL 和 EMBEDDING_MODEL 环境变量的说明 - 为使用 OpenAI API 和自定义模型提供了更详细的配置指南 --- README.md | 4 ++++ 1 file changed, 4 insertions(+) diff --git a/README.md b/README.md index 6602f1d3..3e3a1761 100644 --- a/README.md +++ b/README.md @@ -498,6 +498,10 @@ pip install fastapi uvicorn pydantic 2. Set up your environment variables: ```bash export RAG_DIR="your_index_directory" # Optional: Defaults to "index_default" +export OPENAI_BASE_URL="Your OpenAI API base URL" # Optional: Defaults to "https://api.openai.com/v1" +export OPENAI_API_KEY="Your OpenAI API key" # Required +export LLM_MODEL="Your LLM model" # Optional: Defaults to "gpt-4o-mini" +export EMBEDDING_MODEL="Your embedding model" # Optional: Defaults to "text-embedding-3-large" ``` 3. Run the API server: From 3cc448fc268cb13b03c95926bd392a58a7d4ead1 Mon Sep 17 00:00:00 2001 From: 90houlaoheshang <907333918@qq.com> Date: Tue, 5 Nov 2024 16:44:32 +0800 Subject: [PATCH 150/258] =?UTF-8?q?API=E4=B8=AD=E5=8F=AF=E4=BB=A5=E9=80=9A?= =?UTF-8?q?=E8=BF=87POST=E5=8F=82=E6=95=B0=E6=8E=A7=E5=88=B6=E6=9F=A5?= =?UTF-8?q?=E8=AF=A2=E6=98=AF=E5=90=A6only=5Fneed=5Fcontext?= MIME-Version: 1.0 Content-Type: text/plain; charset=UTF-8 Content-Transfer-Encoding: 8bit --- examples/lightrag_api_openai_compatible_demo.py | 4 +++- 1 file changed, 3 insertions(+), 1 deletion(-) diff --git a/examples/lightrag_api_openai_compatible_demo.py b/examples/lightrag_api_openai_compatible_demo.py index 7e1f608a..8a7286b7 100644 --- a/examples/lightrag_api_openai_compatible_demo.py +++ b/examples/lightrag_api_openai_compatible_demo.py @@ -71,6 +71,7 @@ async def get_embedding_dim(): class QueryRequest(BaseModel): query: str mode: str = "hybrid" + only_need_context: bool = False class InsertRequest(BaseModel): @@ -95,7 +96,8 @@ async def query_endpoint(request: QueryRequest): try: loop = asyncio.get_event_loop() result = await loop.run_in_executor( - None, lambda: rag.query(request.query, param=QueryParam(mode=request.mode)) + None, lambda: rag.query(request.query, + param=QueryParam(mode=request.mode, only_need_context=request.only_need_context)) ) return Response(status="success", data=result) except Exception as e: From 11b791c72b651eaf5f5244c6d0888a3da525fef1 Mon Sep 17 00:00:00 2001 From: 90houlaoheshang <907333918@qq.com> Date: Tue, 5 Nov 2024 16:48:29 +0800 Subject: [PATCH 151/258] README --- README.md | 3 ++- 1 file changed, 2 insertions(+), 1 deletion(-) diff --git a/README.md b/README.md index 3e3a1761..33d36ae1 100644 --- a/README.md +++ b/README.md @@ -526,7 +526,8 @@ The API server provides the following endpoints: ```json { "query": "Your question here", - "mode": "hybrid" // Can be "naive", "local", "global", or "hybrid" + "mode": "hybrid", // Can be "naive", "local", "global", or "hybrid" + "only_need_context": true // Optional: Defaults to false, if true, only the referenced context will be returned, otherwise the llm answer will be returned } ``` - **Example:** From a140f744a3a7933e247f4dcb1d54fbb79a41b4ee Mon Sep 17 00:00:00 2001 From: 90houlaoheshang <907333918@qq.com> Date: Tue, 5 Nov 2024 17:22:04 +0800 Subject: [PATCH 152/258] =?UTF-8?q?refactor(lightrag):=20=E4=BC=98?= =?UTF-8?q?=E5=8C=96=E6=96=87=E4=BB=B6=E4=B8=8A=E4=BC=A0=E6=8E=A5=E5=8F=A3?= MIME-Version: 1.0 Content-Type: text/plain; charset=UTF-8 Content-Transfer-Encoding: 8bit - 移除 InsertFileRequest 模型，改用 FastAPI 的 File 和 UploadFile - 修改 insert_file 函数，以适应新的文件上传方式 - 更新函数参数和逻辑，支持直接上传文件 - 优化错误处理和响应消息 --- .../lightrag_api_openai_compatible_demo.py | 24 +++++-------------- 1 file changed, 6 insertions(+), 18 deletions(-) diff --git a/examples/lightrag_api_openai_compatible_demo.py b/examples/lightrag_api_openai_compatible_demo.py index 8a7286b7..94475199 100644 --- a/examples/lightrag_api_openai_compatible_demo.py +++ b/examples/lightrag_api_openai_compatible_demo.py @@ -1,4 +1,4 @@ -from fastapi import FastAPI, HTTPException +from fastapi import FastAPI, HTTPException, File, UploadFile from pydantic import BaseModel import os from lightrag import LightRAG, QueryParam @@ -78,10 +78,6 @@ class InsertRequest(BaseModel): text: str -class InsertFileRequest(BaseModel): - file_path: str - - class Response(BaseModel): status: str data: Optional[str] = None @@ -115,30 +111,22 @@ async def insert_endpoint(request: InsertRequest): @app.post("/insert_file", response_model=Response) -async def insert_file(request: InsertFileRequest): +async def insert_file(file: UploadFile = File(...)): try: - # Check if file exists - if not os.path.exists(request.file_path): - raise HTTPException( - status_code=404, detail=f"File not found: {request.file_path}" - ) - + file_content = await file.read() # Read file content try: - with open(request.file_path, "r", encoding="utf-8") as f: - content = f.read() + content = file_content.decode("utf-8") except UnicodeDecodeError: # If UTF-8 decoding fails, try other encodings - with open(request.file_path, "r", encoding="gbk") as f: - content = f.read() - + content = file_content.decode("gbk") # Insert file content loop = asyncio.get_event_loop() await loop.run_in_executor(None, lambda: rag.insert(content)) return Response( status="success", - message=f"File content from {request.file_path} inserted successfully", + message=f"File content from {file.filename} inserted successfully", ) except Exception as e: raise HTTPException(status_code=500, detail=str(e)) From 6f77f54c6d6ec5d6c43bcd226221de34854f62f0 Mon Sep 17 00:00:00 2001 From: benx13 Date: Tue, 5 Nov 2024 18:36:59 -0800 Subject: [PATCH 153/258] bug fix issue #95 --- lightrag/lightrag.py | 9 ++++---- lightrag/operate.py | 54 +++++++++++++++++++++++++++++--------------- 2 files changed, 40 insertions(+), 23 deletions(-) diff --git a/lightrag/lightrag.py b/lightrag/lightrag.py index 5d271860..9cce75ba 100644 --- a/lightrag/lightrag.py +++ b/lightrag/lightrag.py @@ -55,13 +55,12 @@ def always_get_an_event_loop() -> asyncio.AbstractEventLoop: try: - loop = asyncio.get_running_loop() + return asyncio.get_event_loop() except RuntimeError: logger.info("Creating a new event loop in main thread.") - # loop = asyncio.new_event_loop() - # asyncio.set_event_loop(loop) - loop = asyncio.get_event_loop() - return loop + loop = asyncio.new_event_loop() + asyncio.set_event_loop(loop) + return loop @dataclass diff --git a/lightrag/operate.py b/lightrag/operate.py index 2edeb548..23138ff9 100644 --- a/lightrag/operate.py +++ b/lightrag/operate.py @@ -561,46 +561,64 @@ async def _find_most_related_text_unit_from_entities( if not this_edges: continue all_one_hop_nodes.update([e[1] for e in this_edges]) + all_one_hop_nodes = list(all_one_hop_nodes) all_one_hop_nodes_data = await asyncio.gather( *[knowledge_graph_inst.get_node(e) for e in all_one_hop_nodes] ) + + # Add null check for node data all_one_hop_text_units_lookup = { k: set(split_string_by_multi_markers(v["source_id"], [GRAPH_FIELD_SEP])) for k, v in zip(all_one_hop_nodes, all_one_hop_nodes_data) - if v is not None + if v is not None and "source_id" in v # Add source_id check } + all_text_units_lookup = {} for index, (this_text_units, this_edges) in enumerate(zip(text_units, edges)): for c_id in this_text_units: if c_id in all_text_units_lookup: continue relation_counts = 0 - for e in this_edges: - if ( - e[1] in all_one_hop_text_units_lookup - and c_id in all_one_hop_text_units_lookup[e[1]] - ): - relation_counts += 1 - all_text_units_lookup[c_id] = { - "data": await text_chunks_db.get_by_id(c_id), - "order": index, - "relation_counts": relation_counts, - } - if any([v is None for v in all_text_units_lookup.values()]): - logger.warning("Text chunks are missing, maybe the storage is damaged") + if this_edges: # Add check for None edges + for e in this_edges: + if ( + e[1] in all_one_hop_text_units_lookup + and c_id in all_one_hop_text_units_lookup[e[1]] + ): + relation_counts += 1 + + chunk_data = await text_chunks_db.get_by_id(c_id) + if chunk_data is not None and "content" in chunk_data: # Add content check + all_text_units_lookup[c_id] = { + "data": chunk_data, + "order": index, + "relation_counts": relation_counts, + } + + # Filter out None values and ensure data has content all_text_units = [ - {"id": k, **v} for k, v in all_text_units_lookup.items() if v is not None + {"id": k, **v} + for k, v in all_text_units_lookup.items() + if v is not None and v.get("data") is not None and "content" in v["data"] ] + + if not all_text_units: + logger.warning("No valid text units found") + return [] + all_text_units = sorted( - all_text_units, key=lambda x: (x["order"], -x["relation_counts"]) + all_text_units, + key=lambda x: (x["order"], -x["relation_counts"]) ) + all_text_units = truncate_list_by_token_size( all_text_units, key=lambda x: x["data"]["content"], max_token_size=query_param.max_token_for_text_unit, ) - all_text_units: list[TextChunkSchema] = [t["data"] for t in all_text_units] + + all_text_units = [t["data"] for t in all_text_units] return all_text_units @@ -1028,7 +1046,7 @@ def extract_sections(context): -----Sources----- ```csv {combined_sources} -`` +``` """ From deca6305a953fc74290452b769354f848af536a2 Mon Sep 17 00:00:00 2001 From: 90houlaoheshang <907333918@qq.com> Date: Wed, 6 Nov 2024 10:48:59 +0800 Subject: [PATCH 154/258] =?UTF-8?q?feat(lightrag):=20=E6=B7=BB=E5=8A=A0?= =?UTF-8?q?=E7=8E=AF=E5=A2=83=E5=8F=98=E9=87=8F=E6=8E=A7=E5=88=B6=E5=B5=8C?= =?UTF-8?q?=E5=85=A5=E5=B1=82=E6=9C=80=E5=A4=A7=20token=20=E6=95=B0?= =?UTF-8?q?=E9=87=8F?= MIME-Version: 1.0 Content-Type: text/plain; charset=UTF-8 Content-Transfer-Encoding: 8bit - 在 lightrag_api_openai_compatible_demo.py 中，使用环境变量 EMBEDDING_MAX_TOKEN_SIZE 来设置嵌入层的最大 token 数量，默认值为 8192 --- examples/lightrag_api_openai_compatible_demo.py | 2 +- 1 file changed, 1 insertion(+), 1 deletion(-) diff --git a/examples/lightrag_api_openai_compatible_demo.py b/examples/lightrag_api_openai_compatible_demo.py index 94475199..bc56ac59 100644 --- a/examples/lightrag_api_openai_compatible_demo.py +++ b/examples/lightrag_api_openai_compatible_demo.py @@ -60,7 +60,7 @@ async def get_embedding_dim(): working_dir=WORKING_DIR, llm_model_func=llm_model_func, embedding_func=EmbeddingFunc(embedding_dim=asyncio.run(get_embedding_dim()), - max_token_size=8192, + max_token_size=os.environ.get("EMBEDDING_MAX_TOKEN_SIZE", 8192), func=embedding_func), ) From 846937195e8b93bfa3a2ce59b542fdaee17eb5d7 Mon Sep 17 00:00:00 2001 From: 90houlaoheshang <907333918@qq.com> Date: Wed, 6 Nov 2024 11:13:37 +0800 Subject: [PATCH 155/258] =?UTF-8?q?=E9=9B=86=E4=B8=AD=E5=A4=84=E7=90=86?= =?UTF-8?q?=E7=8E=AF=E5=A2=83=E5=8F=98=E9=87=8F?= MIME-Version: 1.0 Content-Type: text/plain; charset=UTF-8 Content-Transfer-Encoding: 8bit --- examples/lightrag_api_openai_compatible_demo.py | 13 ++++++++++--- 1 file changed, 10 insertions(+), 3 deletions(-) diff --git a/examples/lightrag_api_openai_compatible_demo.py b/examples/lightrag_api_openai_compatible_demo.py index bc56ac59..20a05a5f 100644 --- a/examples/lightrag_api_openai_compatible_demo.py +++ b/examples/lightrag_api_openai_compatible_demo.py @@ -18,6 +18,13 @@ # Configure working directory WORKING_DIR = os.environ.get("RAG_DIR", f"{DEFAULT_RAG_DIR}") print(f"WORKING_DIR: {WORKING_DIR}") +LLM_MODEL = os.environ.get("LLM_MODEL", "gpt-4o-mini") +print(f"LLM_MODEL: {LLM_MODEL}") +EMBEDDING_MODEL = os.environ.get("EMBEDDING_MODEL", "text-embedding-3-large") +print(f"EMBEDDING_MODEL: {EMBEDDING_MODEL}") +EMBEDDING_MAX_TOKEN_SIZE = int(os.environ.get("EMBEDDING_MAX_TOKEN_SIZE", 8192)) +print(f"EMBEDDING_MAX_TOKEN_SIZE: {EMBEDDING_MAX_TOKEN_SIZE}") + if not os.path.exists(WORKING_DIR): os.mkdir(WORKING_DIR) @@ -29,7 +36,7 @@ async def llm_model_func( prompt, system_prompt=None, history_messages=[], **kwargs ) -> str: return await openai_complete_if_cache( - os.environ.get("LLM_MODEL", "gpt-4o-mini"), + LLM_MODEL, prompt, system_prompt=system_prompt, history_messages=history_messages, @@ -43,7 +50,7 @@ async def llm_model_func( async def embedding_func(texts: list[str]) -> np.ndarray: return await openai_embedding( texts, - model=os.environ.get("EMBEDDING_MODEL", "text-embedding-3-large"), + model=EMBEDDING_MODEL, ) @@ -60,7 +67,7 @@ async def get_embedding_dim(): working_dir=WORKING_DIR, llm_model_func=llm_model_func, embedding_func=EmbeddingFunc(embedding_dim=asyncio.run(get_embedding_dim()), - max_token_size=os.environ.get("EMBEDDING_MAX_TOKEN_SIZE", 8192), + max_token_size=EMBEDDING_MAX_TOKEN_SIZE, func=embedding_func), ) From 8420cd1c77cab5c42ccc3bc8f98cf4289827f5d8 Mon Sep 17 00:00:00 2001 From: Ken Wiltshire Date: Wed, 6 Nov 2024 10:49:14 -0500 Subject: [PATCH 156/258] event loop issue --- graph_chunk_entity_relation.gefx | 4621 ------------------------------ lightrag/lightrag.py | 8 +- 2 files changed, 3 insertions(+), 4626 deletions(-) delete mode 100644 graph_chunk_entity_relation.gefx diff --git a/graph_chunk_entity_relation.gefx b/graph_chunk_entity_relation.gefx deleted file mode 100644 index 8ff2e47e..00000000 --- a/graph_chunk_entity_relation.gefx +++ /dev/null @@ -1,4621 +0,0 @@ - - - - NetworkX 3.2.1 - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - 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- - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - diff --git a/lightrag/lightrag.py b/lightrag/lightrag.py index 5d271860..87c1f0be 100644 --- a/lightrag/lightrag.py +++ b/lightrag/lightrag.py @@ -52,15 +52,13 @@ QueryParam, ) - def always_get_an_event_loop() -> asyncio.AbstractEventLoop: try: - loop = asyncio.get_running_loop() + loop = asyncio.get_event_loop() except RuntimeError: logger.info("Creating a new event loop in main thread.") - # loop = asyncio.new_event_loop() - # asyncio.set_event_loop(loop) - loop = asyncio.get_event_loop() + loop = asyncio.new_event_loop() + asyncio.set_event_loop(loop) return loop From 3d5d083f427e3ee1c45fa9066f9faa75fdf1860d Mon Sep 17 00:00:00 2001 From: Ken Wiltshire Date: Wed, 6 Nov 2024 11:18:14 -0500 Subject: [PATCH 157/258] fix event loop conflict --- get_all_edges_nx.py | 28 +++--- lightrag/kg/neo4j_impl.py | 202 +++++++++++++++++++++----------------- lightrag/lightrag.py | 23 ++--- lightrag/llm.py | 2 +- lightrag/operate.py | 14 ++- lightrag/storage.py | 3 +- lightrag/utils.py | 20 ++-- test.py | 23 +++-- test_neo4j.py | 22 +++-- 9 files changed, 185 insertions(+), 152 deletions(-) diff --git a/get_all_edges_nx.py b/get_all_edges_nx.py index df45bf80..b2c1d84e 100644 --- a/get_all_edges_nx.py +++ b/get_all_edges_nx.py @@ -1,28 +1,34 @@ import networkx as nx -G = nx.read_graphml('./dickensTestEmbedcall/graph_chunk_entity_relation.graphml') +G = nx.read_graphml("./dickensTestEmbedcall/graph_chunk_entity_relation.graphml") + def get_all_edges_and_nodes(G): # Get all edges and their properties edges_with_properties = [] for u, v, data in G.edges(data=True): - edges_with_properties.append({ - 'start': u, - 'end': v, - 'label': data.get('label', ''), # Assuming 'label' is used for edge type - 'properties': data, - 'start_node_properties': G.nodes[u], - 'end_node_properties': G.nodes[v] - }) + edges_with_properties.append( + { + "start": u, + "end": v, + "label": data.get( + "label", "" + ), # Assuming 'label' is used for edge type + "properties": data, + "start_node_properties": G.nodes[u], + "end_node_properties": G.nodes[v], + } + ) return edges_with_properties + # Example usage if __name__ == "__main__": # Assume G is your NetworkX graph loaded from Neo4j all_edges = get_all_edges_and_nodes(G) - + # Print all edges and node properties for edge in all_edges: print(f"Edge Label: {edge['label']}") @@ -31,4 +37,4 @@ def get_all_edges_and_nodes(G): print(f"Start Node Properties: {edge['start_node_properties']}") print(f"End Node: {edge['end']}") print(f"End Node Properties: {edge['end_node_properties']}") - print("---") \ No newline at end of file + print("---") diff --git a/lightrag/kg/neo4j_impl.py b/lightrag/kg/neo4j_impl.py index a258a30b..4a3a4e66 100644 --- a/lightrag/kg/neo4j_impl.py +++ b/lightrag/kg/neo4j_impl.py @@ -1,17 +1,16 @@ import asyncio -import html import os from dataclasses import dataclass -from typing import Any, Union, cast, Tuple, List, Dict -import numpy as np +from typing import Any, Union, Tuple, List, Dict import inspect -from lightrag.utils import load_json, logger, write_json -from ..base import ( - BaseGraphStorage +from lightrag.utils import logger +from ..base import BaseGraphStorage +from neo4j import ( + AsyncGraphDatabase, + exceptions as neo4jExceptions, + AsyncDriver, + AsyncManagedTransaction, ) -from neo4j import AsyncGraphDatabase,exceptions as neo4jExceptions,AsyncDriver,AsyncSession, AsyncManagedTransaction - -from contextlib import asynccontextmanager from tenacity import ( @@ -26,7 +25,7 @@ class Neo4JStorage(BaseGraphStorage): @staticmethod def load_nx_graph(file_name): - print ("no preloading of graph with neo4j in production") + print("no preloading of graph with neo4j in production") def __init__(self, namespace, global_config): super().__init__(namespace=namespace, global_config=global_config) @@ -35,7 +34,9 @@ def __init__(self, namespace, global_config): URI = os.environ["NEO4J_URI"] USERNAME = os.environ["NEO4J_USERNAME"] PASSWORD = os.environ["NEO4J_PASSWORD"] - self._driver: AsyncDriver = AsyncGraphDatabase.driver(URI, auth=(USERNAME, PASSWORD)) + self._driver: AsyncDriver = AsyncGraphDatabase.driver( + URI, auth=(USERNAME, PASSWORD) + ) return None def __post_init__(self): @@ -43,59 +44,54 @@ def __post_init__(self): "node2vec": self._node2vec_embed, } - async def close(self): if self._driver: await self._driver.close() self._driver = None - - async def __aexit__(self, exc_type, exc, tb): if self._driver: await self._driver.close() async def index_done_callback(self): - print ("KG successfully indexed.") + print("KG successfully indexed.") - async def has_node(self, node_id: str) -> bool: - entity_name_label = node_id.strip('\"') + entity_name_label = node_id.strip('"') - async with self._driver.session() as session: - query = f"MATCH (n:`{entity_name_label}`) RETURN count(n) > 0 AS node_exists" - result = await session.run(query) + async with self._driver.session() as session: + query = ( + f"MATCH (n:`{entity_name_label}`) RETURN count(n) > 0 AS node_exists" + ) + result = await session.run(query) single_result = await result.single() logger.debug( - f'{inspect.currentframe().f_code.co_name}:query:{query}:result:{single_result["node_exists"]}' - ) + f'{inspect.currentframe().f_code.co_name}:query:{query}:result:{single_result["node_exists"]}' + ) return single_result["node_exists"] - + async def has_edge(self, source_node_id: str, target_node_id: str) -> bool: - entity_name_label_source = source_node_id.strip('\"') - entity_name_label_target = target_node_id.strip('\"') - - async with self._driver.session() as session: - query = ( - f"MATCH (a:`{entity_name_label_source}`)-[r]-(b:`{entity_name_label_target}`) " - "RETURN COUNT(r) > 0 AS edgeExists" - ) - result = await session.run(query) + entity_name_label_source = source_node_id.strip('"') + entity_name_label_target = target_node_id.strip('"') + + async with self._driver.session() as session: + query = ( + f"MATCH (a:`{entity_name_label_source}`)-[r]-(b:`{entity_name_label_target}`) " + "RETURN COUNT(r) > 0 AS edgeExists" + ) + result = await session.run(query) single_result = await result.single() logger.debug( - f'{inspect.currentframe().f_code.co_name}:query:{query}:result:{single_result["edgeExists"]}' - ) + f'{inspect.currentframe().f_code.co_name}:query:{query}:result:{single_result["edgeExists"]}' + ) return single_result["edgeExists"] - - def close(self): - self._driver.close() - - + def close(self): + self._driver.close() async def get_node(self, node_id: str) -> Union[dict, None]: async with self._driver.session() as session: - entity_name_label = node_id.strip('\"') + entity_name_label = node_id.strip('"') query = f"MATCH (n:`{entity_name_label}`) RETURN n" result = await session.run(query) record = await result.single() @@ -103,54 +99,51 @@ async def get_node(self, node_id: str) -> Union[dict, None]: node = record["n"] node_dict = dict(node) logger.debug( - f'{inspect.currentframe().f_code.co_name}: query: {query}, result: {node_dict}' + f"{inspect.currentframe().f_code.co_name}: query: {query}, result: {node_dict}" ) return node_dict return None - - async def node_degree(self, node_id: str) -> int: - entity_name_label = node_id.strip('\"') + entity_name_label = node_id.strip('"') - async with self._driver.session() as session: + async with self._driver.session() as session: query = f""" MATCH (n:`{entity_name_label}`) RETURN COUNT{{ (n)--() }} AS totalEdgeCount """ - result = await session.run(query) - record = await result.single() + result = await session.run(query) + record = await result.single() if record: - edge_count = record["totalEdgeCount"] + edge_count = record["totalEdgeCount"] logger.debug( - f'{inspect.currentframe().f_code.co_name}:query:{query}:result:{edge_count}' - ) + f"{inspect.currentframe().f_code.co_name}:query:{query}:result:{edge_count}" + ) return edge_count - else: + else: return None - async def edge_degree(self, src_id: str, tgt_id: str) -> int: - entity_name_label_source = src_id.strip('\"') - entity_name_label_target = tgt_id.strip('\"') + entity_name_label_source = src_id.strip('"') + entity_name_label_target = tgt_id.strip('"') src_degree = await self.node_degree(entity_name_label_source) trg_degree = await self.node_degree(entity_name_label_target) - + # Convert None to 0 for addition src_degree = 0 if src_degree is None else src_degree trg_degree = 0 if trg_degree is None else trg_degree degrees = int(src_degree) + int(trg_degree) logger.debug( - f'{inspect.currentframe().f_code.co_name}:query:src_Degree+trg_degree:result:{degrees}' - ) + f"{inspect.currentframe().f_code.co_name}:query:src_Degree+trg_degree:result:{degrees}" + ) return degrees - - - async def get_edge(self, source_node_id: str, target_node_id: str) -> Union[dict, None]: - entity_name_label_source = source_node_id.strip('\"') - entity_name_label_target = target_node_id.strip('\"') + async def get_edge( + self, source_node_id: str, target_node_id: str + ) -> Union[dict, None]: + entity_name_label_source = source_node_id.strip('"') + entity_name_label_target = target_node_id.strip('"') """ Find all edges between nodes of two given labels @@ -161,28 +154,30 @@ async def get_edge(self, source_node_id: str, target_node_id: str) -> Union[dict Returns: list: List of all relationships/edges found """ - async with self._driver.session() as session: + async with self._driver.session() as session: query = f""" MATCH (start:`{entity_name_label_source}`)-[r]->(end:`{entity_name_label_target}`) RETURN properties(r) as edge_properties LIMIT 1 - """.format(entity_name_label_source=entity_name_label_source, entity_name_label_target=entity_name_label_target) - - result = await session.run(query) + """.format( + entity_name_label_source=entity_name_label_source, + entity_name_label_target=entity_name_label_target, + ) + + result = await session.run(query) record = await result.single() if record: result = dict(record["edge_properties"]) logger.debug( - f'{inspect.currentframe().f_code.co_name}:query:{query}:result:{result}' - ) + f"{inspect.currentframe().f_code.co_name}:query:{query}:result:{result}" + ) return result else: return None - - async def get_node_edges(self, source_node_id: str)-> List[Tuple[str, str]]: - node_label = source_node_id.strip('\"') - + async def get_node_edges(self, source_node_id: str) -> List[Tuple[str, str]]: + node_label = source_node_id.strip('"') + """ Retrieves all edges (relationships) for a particular node identified by its label. :return: List of dictionaries containing edge information @@ -190,26 +185,37 @@ async def get_node_edges(self, source_node_id: str)-> List[Tuple[str, str]]: query = f"""MATCH (n:`{node_label}`) OPTIONAL MATCH (n)-[r]-(connected) RETURN n, r, connected""" - async with self._driver.session() as session: + async with self._driver.session() as session: results = await session.run(query) edges = [] async for record in results: - source_node = record['n'] - connected_node = record['connected'] - - source_label = list(source_node.labels)[0] if source_node.labels else None - target_label = list(connected_node.labels)[0] if connected_node and connected_node.labels else None - + source_node = record["n"] + connected_node = record["connected"] + + source_label = ( + list(source_node.labels)[0] if source_node.labels else None + ) + target_label = ( + list(connected_node.labels)[0] + if connected_node and connected_node.labels + else None + ) + if source_label and target_label: edges.append((source_label, target_label)) - - return edges + return edges @retry( stop=stop_after_attempt(3), wait=wait_exponential(multiplier=1, min=4, max=10), - retry=retry_if_exception_type((neo4jExceptions.ServiceUnavailable, neo4jExceptions.TransientError, neo4jExceptions.WriteServiceUnavailable)), + retry=retry_if_exception_type( + ( + neo4jExceptions.ServiceUnavailable, + neo4jExceptions.TransientError, + neo4jExceptions.WriteServiceUnavailable, + ) + ), ) async def upsert_node(self, node_id: str, node_data: Dict[str, Any]): """ @@ -219,7 +225,7 @@ async def upsert_node(self, node_id: str, node_data: Dict[str, Any]): node_id: The unique identifier for the node (used as label) node_data: Dictionary of node properties """ - label = node_id.strip('\"') + label = node_id.strip('"') properties = node_data async def _do_upsert(tx: AsyncManagedTransaction): @@ -228,7 +234,9 @@ async def _do_upsert(tx: AsyncManagedTransaction): SET n += $properties """ await tx.run(query, properties=properties) - logger.debug(f"Upserted node with label '{label}' and properties: {properties}") + logger.debug( + f"Upserted node with label '{label}' and properties: {properties}" + ) try: async with self._driver.session() as session: @@ -236,13 +244,21 @@ async def _do_upsert(tx: AsyncManagedTransaction): except Exception as e: logger.error(f"Error during upsert: {str(e)}") raise - + @retry( stop=stop_after_attempt(3), wait=wait_exponential(multiplier=1, min=4, max=10), - retry=retry_if_exception_type((neo4jExceptions.ServiceUnavailable, neo4jExceptions.TransientError, neo4jExceptions.WriteServiceUnavailable)), + retry=retry_if_exception_type( + ( + neo4jExceptions.ServiceUnavailable, + neo4jExceptions.TransientError, + neo4jExceptions.WriteServiceUnavailable, + ) + ), ) - async def upsert_edge(self, source_node_id: str, target_node_id: str, edge_data: Dict[str, Any]): + async def upsert_edge( + self, source_node_id: str, target_node_id: str, edge_data: Dict[str, Any] + ): """ Upsert an edge and its properties between two nodes identified by their labels. @@ -251,8 +267,8 @@ async def upsert_edge(self, source_node_id: str, target_node_id: str, edge_data: target_node_id (str): Label of the target node (used as identifier) edge_data (dict): Dictionary of properties to set on the edge """ - source_node_label = source_node_id.strip('\"') - target_node_label = target_node_id.strip('\"') + source_node_label = source_node_id.strip('"') + target_node_label = target_node_id.strip('"') edge_properties = edge_data async def _do_upsert_edge(tx: AsyncManagedTransaction): @@ -265,7 +281,9 @@ async def _do_upsert_edge(tx: AsyncManagedTransaction): RETURN r """ await tx.run(query, properties=edge_properties) - logger.debug(f"Upserted edge from '{source_node_label}' to '{target_node_label}' with properties: {edge_properties}") + logger.debug( + f"Upserted edge from '{source_node_label}' to '{target_node_label}' with properties: {edge_properties}" + ) try: async with self._driver.session() as session: @@ -273,6 +291,6 @@ async def _do_upsert_edge(tx: AsyncManagedTransaction): except Exception as e: logger.error(f"Error during edge upsert: {str(e)}") raise + async def _node2vec_embed(self): - print ("Implemented but never called.") - + print("Implemented but never called.") diff --git a/lightrag/lightrag.py b/lightrag/lightrag.py index 87c1f0be..5dd82926 100644 --- a/lightrag/lightrag.py +++ b/lightrag/lightrag.py @@ -1,6 +1,5 @@ import asyncio import os -import importlib from dataclasses import asdict, dataclass, field from datetime import datetime from functools import partial @@ -24,18 +23,15 @@ NanoVectorDBStorage, NetworkXStorage, ) - -from .kg.neo4j_impl import ( - Neo4JStorage -) -#future KG integrations + +from .kg.neo4j_impl import Neo4JStorage +# future KG integrations # from .kg.ArangoDB_impl import ( # GraphStorage as ArangoDBStorage # ) - from .utils import ( EmbeddingFunc, compute_mdhash_id, @@ -52,6 +48,7 @@ QueryParam, ) + def always_get_an_event_loop() -> asyncio.AbstractEventLoop: try: loop = asyncio.get_event_loop() @@ -64,7 +61,6 @@ def always_get_an_event_loop() -> asyncio.AbstractEventLoop: @dataclass class LightRAG: - working_dir: str = field( default_factory=lambda: f"./lightrag_cache_{datetime.now().strftime('%Y-%m-%d-%H:%M:%S')}" ) @@ -74,8 +70,6 @@ class LightRAG: current_log_level = logger.level log_level: str = field(default=current_log_level) - - # text chunking chunk_token_size: int = 1200 chunk_overlap_token_size: int = 100 @@ -130,8 +124,10 @@ def __post_init__(self): _print_config = ",\n ".join([f"{k} = {v}" for k, v in asdict(self).items()]) logger.debug(f"LightRAG init with param:\n {_print_config}\n") - #@TODO: should move all storage setup here to leverage initial start params attached to self. - self.graph_storage_cls: Type[BaseGraphStorage] = self._get_storage_class()[self.kg] + # @TODO: should move all storage setup here to leverage initial start params attached to self. + self.graph_storage_cls: Type[BaseGraphStorage] = self._get_storage_class()[ + self.kg + ] if not os.path.exists(self.working_dir): logger.info(f"Creating working directory {self.working_dir}") @@ -185,6 +181,7 @@ def __post_init__(self): **self.llm_model_kwargs, ) ) + def _get_storage_class(self) -> Type[BaseGraphStorage]: return { "Neo4JStorage": Neo4JStorage, @@ -328,4 +325,4 @@ async def _query_done(self): if storage_inst is None: continue tasks.append(cast(StorageNameSpace, storage_inst).index_done_callback()) - await asyncio.gather(*tasks) \ No newline at end of file + await asyncio.gather(*tasks) diff --git a/lightrag/llm.py b/lightrag/llm.py index e93afa03..f4045e80 100644 --- a/lightrag/llm.py +++ b/lightrag/llm.py @@ -798,4 +798,4 @@ async def main(): result = await gpt_4o_mini_complete("How are you?") print(result) - asyncio.run(main()) \ No newline at end of file + asyncio.run(main()) diff --git a/lightrag/operate.py b/lightrag/operate.py index 2edeb548..17685131 100644 --- a/lightrag/operate.py +++ b/lightrag/operate.py @@ -466,7 +466,6 @@ async def _build_local_query_context( text_chunks_db: BaseKVStorage[TextChunkSchema], query_param: QueryParam, ): - results = await entities_vdb.query(query, top_k=query_param.top_k) if not len(results): @@ -483,7 +482,7 @@ async def _build_local_query_context( {**n, "entity_name": k["entity_name"], "rank": d} for k, n, d in zip(results, node_datas, node_degrees) if n is not None - ]#what is this text_chunks_db doing. dont remember it in airvx. check the diagram. + ] # what is this text_chunks_db doing. dont remember it in airvx. check the diagram. use_text_units = await _find_most_related_text_unit_from_entities( node_datas, query_param, text_chunks_db, knowledge_graph_inst ) @@ -928,7 +927,6 @@ async def hybrid_query( query_param, ) - if hl_keywords: high_level_context = await _build_global_query_context( hl_keywords, @@ -939,7 +937,6 @@ async def hybrid_query( query_param, ) - context = combine_contexts(high_level_context, low_level_context) if query_param.only_need_context: @@ -1008,9 +1005,11 @@ def extract_sections(context): # Combine and deduplicate the entities combined_entities = process_combine_contexts(hl_entities, ll_entities) - + # Combine and deduplicate the relationships - combined_relationships = process_combine_contexts(hl_relationships, ll_relationships) + combined_relationships = process_combine_contexts( + hl_relationships, ll_relationships + ) # Combine and deduplicate the sources combined_sources = process_combine_contexts(hl_sources, ll_sources) @@ -1046,7 +1045,6 @@ async def naive_query( chunks_ids = [r["id"] for r in results] chunks = await text_chunks_db.get_by_ids(chunks_ids) - maybe_trun_chunks = truncate_list_by_token_size( chunks, key=lambda x: x["content"], @@ -1077,4 +1075,4 @@ async def naive_query( .strip() ) - return response \ No newline at end of file + return response diff --git a/lightrag/storage.py b/lightrag/storage.py index 0ccec839..61bebf2d 100644 --- a/lightrag/storage.py +++ b/lightrag/storage.py @@ -233,8 +233,7 @@ async def embed_nodes(self, algorithm: str) -> tuple[np.ndarray, list[str]]: raise ValueError(f"Node embedding algorithm {algorithm} not supported") return await self._node_embed_algorithms[algorithm]() - - #@TODO: NOT USED + # @TODO: NOT USED async def _node2vec_embed(self): from graspologic import embed diff --git a/lightrag/utils.py b/lightrag/utils.py index 254f5dad..104c9fec 100644 --- a/lightrag/utils.py +++ b/lightrag/utils.py @@ -9,7 +9,7 @@ from dataclasses import dataclass from functools import wraps from hashlib import md5 -from typing import Any, Union,List +from typing import Any, Union, List import xml.etree.ElementTree as ET import numpy as np @@ -176,19 +176,20 @@ def truncate_list_by_token_size(list_data: list, key: callable, max_token_size: return list_data[:i] return list_data + def list_of_list_to_csv(data: List[List[str]]) -> str: output = io.StringIO() writer = csv.writer(output) writer.writerows(data) return output.getvalue() + + def csv_string_to_list(csv_string: str) -> List[List[str]]: output = io.StringIO(csv_string) reader = csv.reader(output) return [row for row in reader] - - def save_data_to_file(data, file_name): with open(file_name, "w", encoding="utf-8") as f: json.dump(data, f, ensure_ascii=False, indent=4) @@ -253,13 +254,14 @@ def xml_to_json(xml_file): print(f"An error occurred: {e}") return None + def process_combine_contexts(hl, ll): header = None list_hl = csv_string_to_list(hl.strip()) list_ll = csv_string_to_list(ll.strip()) if list_hl: - header=list_hl[0] + header = list_hl[0] list_hl = list_hl[1:] if list_ll: header = list_ll[0] @@ -268,19 +270,17 @@ def process_combine_contexts(hl, ll): return "" if list_hl: - list_hl = [','.join(item[1:]) for item in list_hl if item] + list_hl = [",".join(item[1:]) for item in list_hl if item] if list_ll: - list_ll = [','.join(item[1:]) for item in list_ll if item] + list_ll = [",".join(item[1:]) for item in list_ll if item] - combined_sources_set = set( - filter(None, list_hl + list_ll) - ) + combined_sources_set = set(filter(None, list_hl + list_ll)) combined_sources = [",\t".join(header)] for i, item in enumerate(combined_sources_set, start=1): combined_sources.append(f"{i},\t{item}") - + combined_sources = "\n".join(combined_sources) return combined_sources diff --git a/test.py b/test.py index 219e23eb..35c03afe 100644 --- a/test.py +++ b/test.py @@ -1,11 +1,10 @@ import os from lightrag import LightRAG, QueryParam from lightrag.llm import gpt_4o_mini_complete, gpt_4o_complete -from pprint import pprint ######### # Uncomment the below two lines if running in a jupyter notebook to handle the async nature of rag.insert() -# import nest_asyncio -# nest_asyncio.apply() +# import nest_asyncio +# nest_asyncio.apply() ######### WORKING_DIR = "./dickens" @@ -15,7 +14,7 @@ rag = LightRAG( working_dir=WORKING_DIR, - llm_model_func=gpt_4o_mini_complete # Use gpt_4o_mini_complete LLM model + llm_model_func=gpt_4o_mini_complete, # Use gpt_4o_mini_complete LLM model # llm_model_func=gpt_4o_complete # Optionally, use a stronger model ) @@ -23,13 +22,21 @@ rag.insert(f.read()) # Perform naive search -print(rag.query("What are the top themes in this story?", param=QueryParam(mode="naive"))) +print( + rag.query("What are the top themes in this story?", param=QueryParam(mode="naive")) +) # Perform local search -print(rag.query("What are the top themes in this story?", param=QueryParam(mode="local"))) +print( + rag.query("What are the top themes in this story?", param=QueryParam(mode="local")) +) # Perform global search -print(rag.query("What are the top themes in this story?", param=QueryParam(mode="global"))) +print( + rag.query("What are the top themes in this story?", param=QueryParam(mode="global")) +) # Perform hybrid search -print(rag.query("What are the top themes in this story?", param=QueryParam(mode="hybrid"))) \ No newline at end of file +print( + rag.query("What are the top themes in this story?", param=QueryParam(mode="hybrid")) +) diff --git a/test_neo4j.py b/test_neo4j.py index 18195c32..7b13734e 100644 --- a/test_neo4j.py +++ b/test_neo4j.py @@ -5,8 +5,8 @@ ######### # Uncomment the below two lines if running in a jupyter notebook to handle the async nature of rag.insert() -# import nest_asyncio -# nest_asyncio.apply() +# import nest_asyncio +# nest_asyncio.apply() ######### WORKING_DIR = "./local_neo4jWorkDir" @@ -18,7 +18,7 @@ working_dir=WORKING_DIR, llm_model_func=gpt_4o_mini_complete, # Use gpt_4o_mini_complete LLM model kg="Neo4JStorage", - log_level="INFO" + log_level="INFO", # llm_model_func=gpt_4o_complete # Optionally, use a stronger model ) @@ -26,13 +26,21 @@ rag.insert(f.read()) # Perform naive search -print(rag.query("What are the top themes in this story?", param=QueryParam(mode="naive"))) +print( + rag.query("What are the top themes in this story?", param=QueryParam(mode="naive")) +) # Perform local search -print(rag.query("What are the top themes in this story?", param=QueryParam(mode="local"))) +print( + rag.query("What are the top themes in this story?", param=QueryParam(mode="local")) +) # Perform global search -print(rag.query("What are the top themes in this story?", param=QueryParam(mode="global"))) +print( + rag.query("What are the top themes in this story?", param=QueryParam(mode="global")) +) # Perform hybrid search -print(rag.query("What are the top themes in this story?", param=QueryParam(mode="hybrid"))) \ No newline at end of file +print( + rag.query("What are the top themes in this story?", param=QueryParam(mode="hybrid")) +) From bc97898c93cce4be32706055aaefffc237cd1055 Mon Sep 17 00:00:00 2001 From: zrguo <49157727+LarFii@users.noreply.github.com> Date: Thu, 7 Nov 2024 15:26:54 +0800 Subject: [PATCH 158/258] fix typo --- README.md | 2 +- 1 file changed, 1 insertion(+), 1 deletion(-) diff --git a/README.md b/README.md index 33d36ae1..2c7272cd 100644 --- a/README.md +++ b/README.md @@ -317,7 +317,7 @@ with open("./newText.txt") as f: ### Multi-file Type Support -The `testract` supports reading file types such as TXT, DOCX, PPTX, CSV, and PDF. +The `textract` supports reading file types such as TXT, DOCX, PPTX, CSV, and PDF. ```python import textract From 780cf7eeb9f442d19eecf32c085ff42887a3bb70 Mon Sep 17 00:00:00 2001 From: zrguo <49157727+LarFii@users.noreply.github.com> Date: Thu, 7 Nov 2024 18:38:16 +0800 Subject: [PATCH 159/258] Update README.md --- README.md | 42 +++++++++++++++++++++--------------------- 1 file changed, 21 insertions(+), 21 deletions(-) diff --git a/README.md b/README.md index 2c7272cd..b726f605 100644 --- a/README.md +++ b/README.md @@ -692,28 +692,28 @@ Output your evaluation in the following JSON format:
### Overall Performance Table -| | **Agriculture** | | **CS** | | **Legal** | | **Mix** | | +| | **Agriculture** | | **CS** | | **Legal** | | **Mix** | | |----------------------|-------------------------|-----------------------|-----------------------|-----------------------|-----------------------|-----------------------|-----------------------|-----------------------| -| | NaiveRAG | **LightRAG** | NaiveRAG | **LightRAG** | NaiveRAG | **LightRAG** | NaiveRAG | **LightRAG** | -| **Comprehensiveness** | 32.69% | **67.31%** | 35.44% | **64.56%** | 19.05% | **80.95%** | 36.36% | **63.64%** | -| **Diversity** | 24.09% | **75.91%** | 35.24% | **64.76%** | 10.98% | **89.02%** | 30.76% | **69.24%** | -| **Empowerment** | 31.35% | **68.65%** | 35.48% | **64.52%** | 17.59% | **82.41%** | 40.95% | **59.05%** | -| **Overall** | 33.30% | **66.70%** | 34.76% | **65.24%** | 17.46% | **82.54%** | 37.59% | **62.40%** | -| | RQ-RAG | **LightRAG** | RQ-RAG | **LightRAG** | RQ-RAG | **LightRAG** | RQ-RAG | **LightRAG** | -| **Comprehensiveness** | 32.05% | **67.95%** | 39.30% | **60.70%** | 18.57% | **81.43%** | 38.89% | **61.11%** | -| **Diversity** | 29.44% | **70.56%** | 38.71% | **61.29%** | 15.14% | **84.86%** | 28.50% | **71.50%** | -| **Empowerment** | 32.51% | **67.49%** | 37.52% | **62.48%** | 17.80% | **82.20%** | 43.96% | **56.04%** | -| **Overall** | 33.29% | **66.71%** | 39.03% | **60.97%** | 17.80% | **82.20%** | 39.61% | **60.39%** | -| | HyDE | **LightRAG** | HyDE | **LightRAG** | HyDE | **LightRAG** | HyDE | **LightRAG** | -| **Comprehensiveness** | 24.39% | **75.61%** | 36.49% | **63.51%** | 27.68% | **72.32%** | 42.17% | **57.83%** | -| **Diversity** | 24.96% | **75.34%** | 37.41% | **62.59%** | 18.79% | **81.21%** | 30.88% | **69.12%** | -| **Empowerment** | 24.89% | **75.11%** | 34.99% | **65.01%** | 26.99% | **73.01%** | **45.61%** | **54.39%** | -| **Overall** | 23.17% | **76.83%** | 35.67% | **64.33%** | 27.68% | **72.32%** | 42.72% | **57.28%** | -| | GraphRAG | **LightRAG** | GraphRAG | **LightRAG** | GraphRAG | **LightRAG** | GraphRAG | **LightRAG** | -| **Comprehensiveness** | 45.56% | **54.44%** | 45.98% | **54.02%** | 47.13% | **52.87%** | **51.86%** | 48.14% | -| **Diversity** | 19.65% | **80.35%** | 39.64% | **60.36%** | 25.55% | **74.45%** | 35.87% | **64.13%** | -| **Empowerment** | 36.69% | **63.31%** | 45.09% | **54.91%** | 42.81% | **57.19%** | **52.94%** | 47.06% | -| **Overall** | 43.62% | **56.38%** | 45.98% | **54.02%** | 45.70% | **54.30%** | **51.86%** | 48.14% | +| | NaiveRAG | **LightRAG** | NaiveRAG | **LightRAG** | NaiveRAG | **LightRAG** | NaiveRAG | **LightRAG** | +| **Comprehensiveness** | 32.4% | **67.6%** | 38.4% | **61.6%** | 16.4% | **83.6%** | 38.8% | **61.2%** | +| **Diversity** | 23.6% | **76.4%** | 38.0% | **62.0%** | 13.6% | **86.4%** | 32.4% | **67.6%** | +| **Empowerment** | 32.4% | **67.6%** | 38.8% | **61.2%** | 16.4% | **83.6%** | 42.8% | **57.2%** | +| **Overall** | 32.4% | **67.6%** | 38.8% | **61.2%** | 15.2% | **84.8%** | 40.0% | **60.0%** | +| | RQ-RAG | **LightRAG** | RQ-RAG | **LightRAG** | RQ-RAG | **LightRAG** | RQ-RAG | **LightRAG** | +| **Comprehensiveness** | 31.6% | **68.4%** | 38.8% | **61.2%** | 15.2% | **84.8%** | 39.2% | **60.8%** | +| **Diversity** | 29.2% | **70.8%** | 39.2% | **60.8%** | 11.6% | **88.4%** | 30.8% | **69.2%** | +| **Empowerment** | 31.6% | **68.4%** | 36.4% | **63.6%** | 15.2% | **84.8%** | 42.4% | **57.6%** | +| **Overall** | 32.4% | **67.6%** | 38.0% | **62.0%** | 14.4% | **85.6%** | 40.0% | **60.0%** | +| | HyDE | **LightRAG** | HyDE | **LightRAG** | HyDE | **LightRAG** | HyDE | **LightRAG** | +| **Comprehensiveness** | 26.0% | **74.0%** | 41.6% | **58.4%** | 26.8% | **73.2%** | 40.4% | **59.6%** | +| **Diversity** | 24.0% | **76.0%** | 38.8% | **61.2%** | 20.0% | **80.0%** | 32.4% | **67.6%** | +| **Empowerment** | 25.2% | **74.8%** | 40.8% | **59.2%** | 26.0% | **74.0%** | 46.0% | **54.0%** | +| **Overall** | 24.8% | **75.2%** | 41.6% | **58.4%** | 26.4% | **73.6%** | 42.4% | **57.6%** | +| | GraphRAG | **LightRAG** | GraphRAG | **LightRAG** | GraphRAG | **LightRAG** | GraphRAG | **LightRAG** | +| **Comprehensiveness** | 45.6% | **54.4%** | 48.4% | **51.6%** | 48.4% | **51.6%** | **50.4%** | 49.6% | +| **Diversity** | 22.8% | **77.2%** | 40.8% | **59.2%** | 26.4% | **73.6%** | 36.0% | **64.0%** | +| **Empowerment** | 41.2% | **58.8%** | 45.2% | **54.8%** | 43.6% | **56.4%** | **50.8%** | 49.2% | +| **Overall** | 45.2% | **54.8%** | 48.0% | **52.0%** | 47.2% | **52.8%** | **50.4%** | 49.6% | ## Reproduce All the code can be found in the `./reproduce` directory. From 594470ab569fe763b01d9bfeeaf27e0680d8d50b Mon Sep 17 00:00:00 2001 From: jin <52519003+jin38324@users.noreply.github.com> Date: Fri, 8 Nov 2024 14:58:41 +0800 Subject: [PATCH 160/258] Oracle Database support Add oracle 23ai database as the KV/vector/graph storage --- examples/lightrag_oracle_demo.py | 127 +++++ lightrag/base.py | 2 + lightrag/kg/oracle_impl.py | 767 +++++++++++++++++++++++++++++++ lightrag/lightrag.py | 90 ++-- lightrag/prompt.py | 20 +- requirements.txt | 1 + 6 files changed, 972 insertions(+), 35 deletions(-) create mode 100644 examples/lightrag_oracle_demo.py create mode 100644 lightrag/kg/oracle_impl.py diff --git a/examples/lightrag_oracle_demo.py b/examples/lightrag_oracle_demo.py new file mode 100644 index 00000000..94a47965 --- /dev/null +++ b/examples/lightrag_oracle_demo.py @@ -0,0 +1,127 @@ + + +import sys, os +print(os.getcwd()) +from pathlib import Path +script_directory = Path(__file__).resolve().parent.parent +sys.path.append(os.path.abspath(script_directory)) + +import asyncio +from lightrag import LightRAG, QueryParam +from lightrag.llm import openai_complete_if_cache, openai_embedding +from lightrag.utils import EmbeddingFunc +import numpy as np +from datetime import datetime + +from lightrag.kg.oracle_impl import OracleDB + + +WORKING_DIR = "./dickens" + +# We use OpenAI compatible API to call LLM on Oracle Cloud +# More docs here https://github.com/jin38324/OCI_GenAI_access_gateway +BASE_URL = "http://xxx.xxx.xxx.xxx:8088/v1/" +APIKEY = "ocigenerativeai" +CHATMODEL = "cohere.command-r-plus" +EMBEDMODEL = "cohere.embed-multilingual-v3.0" + + +if not os.path.exists(WORKING_DIR): + os.mkdir(WORKING_DIR) + +async def llm_model_func( + prompt, system_prompt=None, history_messages=[], **kwargs +) -> str: + return await openai_complete_if_cache( + CHATMODEL, + prompt, + system_prompt=system_prompt, + history_messages=history_messages, + api_key=APIKEY, + base_url=BASE_URL, + **kwargs, + ) + + +async def embedding_func(texts: list[str]) -> np.ndarray: + return await openai_embedding( + texts, + model=EMBEDMODEL, + api_key=APIKEY, + base_url=BASE_URL, + ) + + +async def get_embedding_dim(): + test_text = ["This is a test sentence."] + embedding = await embedding_func(test_text) + embedding_dim = embedding.shape[1] + return embedding_dim + + +async def main(): + try: + # Detect embedding dimension + embedding_dimension = await get_embedding_dim() + print(f"Detected embedding dimension: {embedding_dimension}") + + # Create Oracle DB connection + # The `config` parameter is the connection configuration of Oracle DB + # More docs here https://python-oracledb.readthedocs.io/en/latest/user_guide/connection_handling.html + # We storage data in unified tables, so we need to set a `workspace` parameter to specify which docs we want to store and query + # Below is an example of how to connect to Oracle Autonomous Database on Oracle Cloud + oracle_db = OracleDB(config={ + "user":"RAG", + "password":"xxxxxxxxx", + "dsn":"xxxxxxx_medium", + "config_dir":"dir/path/to/oracle/config", + "wallet_location":"dir/path/to/oracle/wallet", + "wallet_password":"xxxxxxxxx", + "workspace":"company" # specify which docs we want to store and query + } + ) + + + # Check if Oracle DB tables exist, if not, tables will be created + await oracle_db.check_tables() + + + # Initialize LightRAG + # We use Oracle DB as the KV/vector/graph storage + rag = LightRAG( + enable_llm_cache=False, + working_dir=WORKING_DIR, + chunk_token_size=512, + llm_model_func=llm_model_func, + embedding_func=EmbeddingFunc( + embedding_dim=embedding_dimension, + max_token_size=512, + func=embedding_func, + ), + graph_storage = "OracleGraphStorage", + kv_storage="OracleKVStorage", + vector_storage="OracleVectorDBStorage" + ) + + # Setthe KV/vector/graph storage's `db` property, so all operation will use same connection pool + rag.graph_storage_cls.db = oracle_db + rag.key_string_value_json_storage_cls.db = oracle_db + rag.vector_db_storage_cls.db = oracle_db + + # Extract and Insert into LightRAG storage + with open("./dickens/demo.txt", "r", encoding="utf-8") as f: + await rag.ainsert(f.read()) + + # Perform search in different modes + modes = ["naive", "local", "global", "hybrid"] + for mode in modes: + print("="*20, mode, "="*20) + print(await rag.aquery("这个文章讲了什么?", param=QueryParam(mode=mode))) + print("-"*100, "\n") + + except Exception as e: + print(f"An error occurred: {e}") + + +if __name__ == "__main__": + asyncio.run(main()) \ No newline at end of file diff --git a/lightrag/base.py b/lightrag/base.py index cecd5edd..97524472 100644 --- a/lightrag/base.py +++ b/lightrag/base.py @@ -59,6 +59,7 @@ async def upsert(self, data: dict[str, dict]): @dataclass class BaseKVStorage(Generic[T], StorageNameSpace): + embedding_func: EmbeddingFunc async def all_keys(self) -> list[str]: raise NotImplementedError @@ -83,6 +84,7 @@ async def drop(self): @dataclass class BaseGraphStorage(StorageNameSpace): + embedding_func: EmbeddingFunc async def has_node(self, node_id: str) -> bool: raise NotImplementedError diff --git a/lightrag/kg/oracle_impl.py b/lightrag/kg/oracle_impl.py new file mode 100644 index 00000000..ab6312a7 --- /dev/null +++ b/lightrag/kg/oracle_impl.py @@ -0,0 +1,767 @@ +import asyncio +#import html +#import os +from dataclasses import dataclass +from typing import Any, Union, cast +import networkx as nx +import numpy as np +import array + +from ..utils import logger +from ..base import ( + BaseGraphStorage, + BaseKVStorage, + BaseVectorStorage, +) + +import oracledb + +class OracleDB: + def __init__(self,config,**kwargs): + self.host = config.get("host", None) + self.port = config.get("port", None) + self.user = config.get("user", None) + self.password = config.get("password", None) + self.dsn = config.get("dsn", None) + self.config_dir = config.get("config_dir", None) + self.wallet_location = config.get("wallet_location", None) + self.wallet_password = config.get("wallet_password", None) + self.workspace = config.get("workspace", None) + self.max = 12 + self.increment = 1 + logger.info(f"Using the label {self.workspace} for Oracle Graph as identifier") + if self.user is None or self.password is None: + raise ValueError("Missing database user or password in addon_params") + + try: + oracledb.defaults.fetch_lobs = False + + self.pool = oracledb.create_pool_async( + user = self.user, + password = self.password, + dsn = self.dsn, + config_dir = self.config_dir, + wallet_location = self.wallet_location, + wallet_password = self.wallet_password, + min = 1, + max = self.max, + increment = self.increment + ) + logger.info(f"Connected to Oracle database at {self.dsn}") + except Exception as e: + logger.error(f"Failed to connect to Oracle database at {self.dsn}") + logger.error(f"Oracle database error: {e}") + raise + + def numpy_converter_in(self, value): + """Convert numpy array to array.array""" + if value.dtype == np.float64: + dtype = "d" + elif value.dtype == np.float32: + dtype = "f" + else: + dtype = "b" + return array.array(dtype, value) + + def input_type_handler(self, cursor, value, arraysize): + """Set the type handler for the input data""" + if isinstance(value, np.ndarray): + return cursor.var( + oracledb.DB_TYPE_VECTOR, + arraysize=arraysize, + inconverter=self.numpy_converter_in, + ) + + def numpy_converter_out(self, value): + """Convert array.array to numpy array""" + if value.typecode == "b": + dtype = np.int8 + elif value.typecode == "f": + dtype = np.float32 + else: + dtype = np.float64 + return np.array(value, copy=False, dtype=dtype) + + def output_type_handler(self, cursor, metadata): + """Set the type handler for the output data""" + if metadata.type_code is oracledb.DB_TYPE_VECTOR: + return cursor.var( + metadata.type_code, + arraysize=cursor.arraysize, + outconverter=self.numpy_converter_out, + ) + + async def check_tables(self): + for k,v in TABLES.items(): + try: + if k.lower() == "lightrag_graph": + await self.query("SELECT id FROM GRAPH_TABLE (lightrag_graph MATCH (a) COLUMNS (a.id)) fetch first row only") + else: + await self.query("SELECT 1 FROM {k}".format(k=k)) + except Exception as e: + logger.error(f"Failed to check table {k} in Oracle database") + logger.error(f"Oracle database error: {e}") + try: + # print(v["ddl"]) + await self.execute(v["ddl"]) + logger.info(f"Created table {k} in Oracle database") + except Exception as e: + logger.error(f"Failed to create table {k} in Oracle database") + logger.error(f"Oracle database error: {e}") + + logger.info(f"Finished check all tables in Oracle database") + + + async def query(self,sql: str, multirows: bool = False) -> Union[dict, None]: + async with self.pool.acquire() as connection: + connection.inputtypehandler = self.input_type_handler + connection.outputtypehandler = self.output_type_handler + with connection.cursor() as cursor: + try: + await cursor.execute(sql) + except Exception as e: + logger.error(f"Oracle database error: {e}") + print(sql) + raise + columns = [column[0].lower() for column in cursor.description] + if multirows: + rows = await cursor.fetchall() + if rows: + data = [dict(zip(columns, row)) for row in rows] + else: + data = [] + else: + row = await cursor.fetchone() + if row: + data = dict(zip(columns, row)) + else: + data = None + return data + + async def execute(self,sql: str, data: list = None): + # logger.info("go into OracleDB execute method") + try: + async with self.pool.acquire() as connection: + connection.inputtypehandler = self.input_type_handler + connection.outputtypehandler = self.output_type_handler + with connection.cursor() as cursor: + if data is None: + await cursor.execute(sql) + else: + #print(data) + #print(sql) + await cursor.execute(sql,data) + await connection.commit() + except Exception as e: + logger.error(f"Oracle database error: {e}") + print(sql) + print(data) + raise + +@dataclass +class OracleKVStorage(BaseKVStorage): + + # should pass db object to self.db + def __post_init__(self): + self._data = {} + self._max_batch_size = self.global_config["embedding_batch_num"] + + ################ QUERY METHODS ################ + + async def get_by_id(self, id: str) -> Union[dict, None]: + """根据 id 获取 doc_full 数据.""" + SQL = SQL_TEMPLATES["get_by_id_"+self.namespace].format(workspace=self.db.workspace,id=id) + #print("get_by_id:"+SQL) + res = await self.db.query(SQL) + if res: + data = res #{"data":res} + #print (data) + return data + else: + return None + + # Query by id + async def get_by_ids(self, ids: list[str], fields=None) -> Union[list[dict],None]: + """根据 id 获取 doc_chunks 数据""" + SQL = SQL_TEMPLATES["get_by_ids_"+self.namespace].format(workspace=self.db.workspace, + ids=",".join([f"'{id}'" for id in ids])) + #print("get_by_ids:"+SQL) + res = await self.db.query(SQL,multirows=True) + if res: + data = res # [{"data":i} for i in res] + #print(data) + return data + else: + return None + + async def filter_keys(self, keys: list[str]) -> set[str]: + """过滤掉重复内容""" + SQL = SQL_TEMPLATES["filter_keys"].format(table_name=N_T[self.namespace], + workspace=self.db.workspace, + ids=",".join([f"'{k}'" for k in keys])) + res = await self.db.query(SQL,multirows=True) + data = None + if res: + exist_keys = [key["id"] for key in res] + data = set([s for s in keys if s not in exist_keys]) + else: + exist_keys = [] + data = set([s for s in keys if s not in exist_keys]) + return data + + + ################ INSERT METHODS ################ + async def upsert(self, data: dict[str, dict]): + left_data = {k: v for k, v in data.items() if k not in self._data} + self._data.update(left_data) + #print(self._data) + #values = [] + if self.namespace == "text_chunks": + list_data = [ + { + "__id__": k, + **{k1: v1 for k1, v1 in v.items()}, + } + for k, v in data.items() + ] + contents = [v["content"] for v in data.values()] + batches = [ + contents[i: i + self._max_batch_size] + for i in range(0, len(contents), self._max_batch_size) + ] + embeddings_list = await asyncio.gather( + *[self.embedding_func(batch) for batch in batches] + ) + embeddings = np.concatenate(embeddings_list) + for i, d in enumerate(list_data): + d["__vector__"] = embeddings[i] + #print(list_data) + for item in list_data: + merge_sql = SQL_TEMPLATES["merge_chunk"].format( + check_id=item["__id__"] + ) + + values = [item["__id__"], item["content"], self.db.workspace, item["tokens"], + item["chunk_order_index"], item["full_doc_id"], item["__vector__"]] + #print(merge_sql) + await self.db.execute(merge_sql, values) + + if self.namespace == "full_docs": + for k, v in self._data.items(): + #values.clear() + merge_sql = SQL_TEMPLATES["merge_doc_full"].format( + check_id=k, + ) + values = [k, self._data[k]["content"], self.db.workspace] + #print(merge_sql) + await self.db.execute(merge_sql, values) + return left_data + + + async def index_done_callback(self): + if self.namespace in ["full_docs", "text_chunks"]: + logger.info("full doc and chunk data had been saved into oracle db!") + + + +@dataclass +class OracleVectorDBStorage(BaseVectorStorage): + cosine_better_than_threshold: float = 0.2 + + def __post_init__(self): + pass + + async def upsert(self, data: dict[str, dict]): + """向向量数据库中插入数据""" + pass + + async def index_done_callback(self): + pass + + + #################### query method ################ + async def query(self, query: str, top_k=5) -> Union[dict, list[dict]]: + """从向量数据库中查询数据""" + embeddings = await self.embedding_func([query]) + embedding = embeddings[0] + # 转换精度 + dtype = str(embedding.dtype).upper() + dimension = embedding.shape[0] + embedding_string = ', '.join(map(str, embedding.tolist())) + + SQL = SQL_TEMPLATES[self.namespace].format( + embedding_string=embedding_string, + dimension=dimension, + dtype=dtype, + workspace=self.db.workspace, + top_k=top_k, + better_than_threshold=self.cosine_better_than_threshold, + ) + # print(SQL) + results = await self.db.query(SQL, multirows=True) + #print("vector search result:",results) + return results + + +@dataclass +class OracleGraphStorage(BaseGraphStorage): + """基于Oracle的图存储模块""" + # @staticmethod + # def load_graph(file_name) -> nx.Graph: + # """读取graphhml图文件""" + + # @staticmethod + # def write_graph(graph: nx.Graph, file_name): + # # """写入graphhml图文件""" + + # @staticmethod + # def stable_largest_connected_component(graph: nx.Graph) -> nx.Graph: + # """Refer to https://github.com/microsoft/graphrag/index/graph/utils/stable_lcc.py + # Return the largest connected component of the graph, with nodes and edges sorted in a stable way. + # 用于产生稳定的最大连通分量的模块，即相同的输入图==相同的输出lcc。 + # """ + + + # @staticmethod + # def _stabilize_graph(graph: nx.Graph) -> nx.Graph: + # """Refer to https://github.com/microsoft/graphrag/index/graph/utils/stable_lcc.py + # Ensure an undirected graph with the same relationships will always be read the same way. + # 确保具有相同关系的无向图始终以相同的方式读取。 + # """ + + def __post_init__(self): + """从graphml文件加载图""" + self._max_batch_size = self.global_config["embedding_batch_num"] + + + #################### insert method ################ + + async def upsert_node(self, node_id: str, node_data: dict[str, str]): + """插入或更新节点""" + #print("go into upsert node method") + entity_name = node_id + entity_type = node_data["entity_type"] + description = node_data["description"] + source_id = node_data["source_id"] + content = entity_name+description + contents = [content] + batches = [ + contents[i: i + self._max_batch_size] + for i in range(0, len(contents), self._max_batch_size) + ] + embeddings_list = await asyncio.gather( + *[self.embedding_func(batch) for batch in batches] + ) + embeddings = np.concatenate(embeddings_list) + content_vector = embeddings[0] + merge_sql = SQL_TEMPLATES["merge_node"].format( + workspace=self.db.workspace,name=entity_name, source_chunk_id=source_id + ) + #print(merge_sql) + await self.db.execute(merge_sql, [self.db.workspace,entity_name,entity_type,description,source_id,content,content_vector]) + #self._graph.add_node(node_id, **node_data) + + async def upsert_edge( + self, source_node_id: str, target_node_id: str, edge_data: dict[str, str] + ): + """插入或更新边""" + #print("go into upsert edge method") + source_name = source_node_id + target_name = target_node_id + weight = edge_data["weight"] + keywords = edge_data["keywords"] + description = edge_data["description"] + source_chunk_id = edge_data["source_id"] + content = keywords+source_name+target_name+description + contents = [content] + batches = [ + contents[i: i + self._max_batch_size] + for i in range(0, len(contents), self._max_batch_size) + ] + embeddings_list = await asyncio.gather( + *[self.embedding_func(batch) for batch in batches] + ) + embeddings = np.concatenate(embeddings_list) + content_vector = embeddings[0] + merge_sql = SQL_TEMPLATES["merge_edge"].format( + workspace=self.db.workspace,source_name=source_name, target_name=target_name, source_chunk_id=source_chunk_id + ) + #print(merge_sql) + await self.db.execute(merge_sql, [self.db.workspace,source_name,target_name,weight,keywords,description,source_chunk_id,content,content_vector]) + #self._graph.add_edge(source_node_id, target_node_id, **edge_data) + + async def embed_nodes(self, algorithm: str) -> tuple[np.ndarray, list[str]]: + """为节点生成向量""" + if algorithm not in self._node_embed_algorithms: + raise ValueError(f"Node embedding algorithm {algorithm} not supported") + return await self._node_embed_algorithms[algorithm]() + + async def _node2vec_embed(self): + """为节点生成向量""" + from graspologic import embed + + embeddings, nodes = embed.node2vec_embed( + self._graph, + **self.config["node2vec_params"], + ) + + nodes_ids = [self._graph.nodes[node_id]["id"] for node_id in nodes] + return embeddings, nodes_ids + + + async def index_done_callback(self): + """写入graphhml图文件""" + logger.info("Node and edge data had been saved into oracle db already, so nothing to do here!") + + #################### query method ################ + async def has_node(self, node_id: str) -> bool: + """根据节点id检查节点是否存在""" + SQL = SQL_TEMPLATES["has_node"].format(workspace=self.db.workspace, node_id=node_id) + # print(SQL) + #print(self.db.workspace, node_id) + res = await self.db.query(SQL) + if res: + #print("Node exist!",res) + return True + else: + #print("Node not exist!") + return False + + async def has_edge(self, source_node_id: str, target_node_id: str) -> bool: + """根据源和目标节点id检查边是否存在""" + SQL = SQL_TEMPLATES["has_edge"].format(workspace=self.db.workspace, + source_node_id=source_node_id, + target_node_id=target_node_id) + # print(SQL) + res = await self.db.query(SQL) + if res: + #print("Edge exist!",res) + return True + else: + #print("Edge not exist!") + return False + + async def node_degree(self, node_id: str) -> int: + """根据节点id获取节点的度""" + SQL = SQL_TEMPLATES["node_degree"].format(workspace=self.db.workspace, node_id=node_id) + # print(SQL) + res = await self.db.query(SQL) + if res: + #print("Node degree",res["degree"]) + return res["degree"] + else: + #print("Edge not exist!") + return 0 + + + async def edge_degree(self, src_id: str, tgt_id: str) -> int: + """根据源和目标节点id获取边的度""" + degree = await self.node_degree(src_id) + await self.node_degree(tgt_id) + #print("Edge degree",degree) + return degree + + + async def get_node(self, node_id: str) -> Union[dict, None]: + """根据节点id获取节点数据""" + SQL = SQL_TEMPLATES["get_node"].format(workspace=self.db.workspace, node_id=node_id) + # print(self.db.workspace, node_id) + # print(SQL) + res = await self.db.query(SQL) + if res: + #print("Get node!",self.db.workspace, node_id,res) + return res + else: + #print("Can't get node!",self.db.workspace, node_id) + return None + + async def get_edge( + self, source_node_id: str, target_node_id: str + ) -> Union[dict, None]: + """根据源和目标节点id获取边""" + SQL = SQL_TEMPLATES["get_edge"].format(workspace=self.db.workspace, + source_node_id=source_node_id, + target_node_id=target_node_id) + res = await self.db.query(SQL) + if res: + #print("Get edge!",self.db.workspace, source_node_id, target_node_id,res[0]) + return res + else: + #print("Edge not exist!",self.db.workspace, source_node_id, target_node_id) + return None + + async def get_node_edges(self, source_node_id: str): + """根据节点id获取节点的所有边""" + if await self.has_node(source_node_id): + SQL = SQL_TEMPLATES["get_node_edges"].format(workspace=self.db.workspace, + source_node_id=source_node_id) + res = await self.db.query(sql=SQL, multirows=True) + if res: + data = [(i["source_name"],i["target_name"]) for i in res] + #print("Get node edge!",self.db.workspace, source_node_id,data) + return data + else: + #print("Node Edge not exist!",self.db.workspace, source_node_id) + return [] + + #################### INSERT method ################ + async def upsert_node(self, node_id: str, node_data: dict[str, str]): + """插入或更新节点""" + #print("go into upsert node method") + entity_name = node_id + entity_type = node_data["entity_type"] + description = node_data["description"] + source_id = node_data["source_id"] + content = entity_name+description + contents = [content] + batches = [ + contents[i: i + self._max_batch_size] + for i in range(0, len(contents), self._max_batch_size) + ] + embeddings_list = await asyncio.gather( + *[self.embedding_func(batch) for batch in batches] + ) + embeddings = np.concatenate(embeddings_list) + content_vector = embeddings[0] + merge_sql = SQL_TEMPLATES["merge_node"].format( + workspace=self.db.workspace,name=entity_name, source_chunk_id=source_id + ) + #print(merge_sql) + await self.db.execute(merge_sql, [self.db.workspace,entity_name,entity_type,description,source_id,content,content_vector]) + #self._graph.add_node(node_id, **node_data) + + async def upsert_edge( + self, source_node_id: str, target_node_id: str, edge_data: dict[str, str] + ): + """插入或更新边""" + #print("go into upsert edge method") + source_name = source_node_id + target_name = target_node_id + weight = edge_data["weight"] + keywords = edge_data["keywords"] + description = edge_data["description"] + source_chunk_id = edge_data["source_id"] + content = keywords+source_name+target_name+description + contents = [content] + batches = [ + contents[i: i + self._max_batch_size] + for i in range(0, len(contents), self._max_batch_size) + ] + embeddings_list = await asyncio.gather( + *[self.embedding_func(batch) for batch in batches] + ) + embeddings = np.concatenate(embeddings_list) + content_vector = embeddings[0] + merge_sql = SQL_TEMPLATES["merge_edge"].format( + workspace=self.db.workspace,source_name=source_name, target_name=target_name, source_chunk_id=source_chunk_id + ) + #print(merge_sql) + await self.db.execute(merge_sql, [self.db.workspace,source_name,target_name,weight,keywords,description,source_chunk_id,content,content_vector]) + #self._graph.add_edge(source_node_id, target_node_id, **edge_data) + + async def embed_nodes(self, algorithm: str) -> tuple[np.ndarray, list[str]]: + """为节点生成向量""" + if algorithm not in self._node_embed_algorithms: + raise ValueError(f"Node embedding algorithm {algorithm} not supported") + return await self._node_embed_algorithms[algorithm]() + + async def _node2vec_embed(self): + """为节点生成向量""" + from graspologic import embed + + embeddings, nodes = embed.node2vec_embed( + self._graph, + **self.config["node2vec_params"], + ) + + nodes_ids = [self._graph.nodes[node_id]["id"] for node_id in nodes] + return embeddings, nodes_ids + + +N_T = { + "full_docs": "LIGHTRAG_DOC_FULL", + "text_chunks": "LIGHTRAG_DOC_CHUNKS", + "chunks": "LIGHTRAG_DOC_CHUNKS", + "entities": "LIGHTRAG_GRAPH_NODES", + "relationships": "LIGHTRAG_GRAPH_EDGES" +} + +TABLES = { + "LIGHTRAG_DOC_FULL": + {"ddl":"""CREATE TABLE LIGHTRAG_DOC_FULL ( + id varchar(256)PRIMARY KEY, + workspace varchar(1024), + doc_name varchar(1024), + content CLOB, + meta JSON + )"""}, + + "LIGHTRAG_DOC_CHUNKS": + {"ddl":"""CREATE TABLE LIGHTRAG_DOC_CHUNKS ( + id varchar(256) PRIMARY KEY, + workspace varchar(1024), + full_doc_id varchar(256), + chunk_order_index NUMBER, + tokens NUMBER, + content CLOB, + content_vector VECTOR + )"""}, + + "LIGHTRAG_GRAPH_NODES": + {"ddl":"""CREATE TABLE LIGHTRAG_GRAPH_NODES ( + id NUMBER GENERATED BY DEFAULT AS IDENTITY PRIMARY KEY, + workspace varchar(1024), + name varchar(2048), + entity_type varchar(1024), + description CLOB, + source_chunk_id varchar(256), + content CLOB, + content_vector VECTOR + )"""}, + "LIGHTRAG_GRAPH_EDGES": + {"ddl":"""CREATE TABLE LIGHTRAG_GRAPH_EDGES ( + id NUMBER GENERATED BY DEFAULT AS IDENTITY PRIMARY KEY, + workspace varchar(1024), + source_name varchar(2048), + target_name varchar(2048), + weight NUMBER, + keywords CLOB, + description CLOB, + source_chunk_id varchar(256), + content CLOB, + content_vector VECTOR + )"""}, + "LIGHTRAG_LLM_CACHE": + {"ddl":"""CREATE TABLE LIGHTRAG_LLM_CACHE ( + id varchar(256) PRIMARY KEY, + return clob, + model varchar(1024) + )"""}, + + "LIGHTRAG_GRAPH": + {"ddl":"""CREATE OR REPLACE PROPERTY GRAPH lightrag_graph + VERTEX TABLES ( + lightrag_graph_nodes KEY (id) + LABEL entity + PROPERTIES (id,workspace,name) -- ,entity_type,description,source_chunk_id) + ) + EDGE TABLES ( + lightrag_graph_edges KEY (id) + SOURCE KEY (source_name) REFERENCES lightrag_graph_nodes(name) + DESTINATION KEY (target_name) REFERENCES lightrag_graph_nodes(name) + LABEL has_relation + PROPERTIES (id,workspace,source_name,target_name) -- ,weight, keywords,description,source_chunk_id) + ) OPTIONS(ALLOW MIXED PROPERTY TYPES)"""}, + } + + +SQL_TEMPLATES = { + # SQL for KVStorage + "get_by_id_full_docs": + "select ID,NVL(content,'') as content from LIGHTRAG_DOC_FULL where workspace='{workspace}' and ID='{id}'", + + "get_by_id_text_chunks": + "select ID,TOKENS,NVL(content,'') as content,CHUNK_ORDER_INDEX,FULL_DOC_ID from LIGHTRAG_DOC_CHUNKS where workspace='{workspace}' and ID='{id}'", + + "get_by_ids_full_docs": + "select ID,NVL(content,'') as content from LIGHTRAG_DOC_FULL where workspace='{workspace}' and ID in ({ids})", + + "get_by_ids_text_chunks": + "select ID,TOKENS,NVL(content,'') as content,CHUNK_ORDER_INDEX,FULL_DOC_ID from LIGHTRAG_DOC_CHUNKS where workspace='{workspace}' and ID in ({ids})", + + "filter_keys": + "select id from {table_name} where workspace='{workspace}' and id in ({ids})", + + "merge_doc_full": """ MERGE INTO LIGHTRAG_DOC_FULL a + USING DUAL + ON (a.id = '{check_id}') + WHEN NOT MATCHED THEN + INSERT(id,content,workspace) values(:1,:2,:3) + """, + + "merge_chunk": """MERGE INTO LIGHTRAG_DOC_CHUNKS a + USING DUAL + ON (a.id = '{check_id}') + WHEN NOT MATCHED THEN + INSERT(id,content,workspace,tokens,chunk_order_index,full_doc_id,content_vector) + values (:1,:2,:3,:4,:5,:6,:7) """, + + # SQL for VectorStorage + "entities": + """SELECT name as entity_name FROM + (SELECT id,name,VECTOR_DISTANCE(content_vector,vector('[{embedding_string}]',{dimension},{dtype}),COSINE) as distance + FROM LIGHTRAG_GRAPH_NODES WHERE workspace='{workspace}') + WHERE distance>{better_than_threshold} ORDER BY distance ASC FETCH FIRST {top_k} ROWS ONLY""", + + "relationships": + """SELECT source_name as src_id, target_name as tgt_id FROM + (SELECT id,source_name,target_name,VECTOR_DISTANCE(content_vector,vector('[{embedding_string}]',{dimension},{dtype}),COSINE) as distance + FROM LIGHTRAG_GRAPH_EDGES WHERE workspace='{workspace}') + WHERE distance>{better_than_threshold} ORDER BY distance ASC FETCH FIRST {top_k} ROWS ONLY""", + + "chunks": + """SELECT id FROM + (SELECT id,VECTOR_DISTANCE(content_vector,vector('[{embedding_string}]',{dimension},{dtype}),COSINE) as distance + FROM LIGHTRAG_DOC_CHUNKS WHERE workspace='{workspace}') + WHERE distance>{better_than_threshold} ORDER BY distance ASC FETCH FIRST {top_k} ROWS ONLY""", + + # SQL for GraphStorage + "has_node": + """SELECT * FROM GRAPH_TABLE (lightrag_graph + MATCH (a) + WHERE a.workspace='{workspace}' AND a.name='{node_id}' + COLUMNS (a.name))""", + + "has_edge": + """SELECT * FROM GRAPH_TABLE (lightrag_graph + MATCH (a) -[e]-> (b) + WHERE e.workspace='{workspace}' and a.workspace='{workspace}' and b.workspace='{workspace}' + AND a.name='{source_node_id}' AND b.name='{target_node_id}' + COLUMNS (e.source_name,e.target_name) )""", + + "node_degree": + """SELECT count(1) as degree FROM GRAPH_TABLE (lightrag_graph + MATCH (a)-[e]->(b) + WHERE a.workspace='{workspace}' and a.workspace='{workspace}' and b.workspace='{workspace}' + AND a.name='{node_id}' or b.name = '{node_id}' + COLUMNS (a.name))""", + + "get_node": + """SELECT t1.name,t2.entity_type,t2.source_chunk_id as source_id,NVL(t2.description,'') AS description + FROM GRAPH_TABLE (lightrag_graph + MATCH (a) + WHERE a.workspace='{workspace}' AND a.name='{node_id}' + COLUMNS (a.name) + ) t1 JOIN LIGHTRAG_GRAPH_NODES t2 on t1.name=t2.name + WHERE t2.workspace='{workspace}'""", + + "get_edge": + """SELECT t1.source_id,t2.weight,t2.source_chunk_id as source_id,t2.keywords, + NVL(t2.description,'') AS description,NVL(t2.KEYWORDS,'') AS keywords + FROM GRAPH_TABLE (lightrag_graph + MATCH (a)-[e]->(b) + WHERE e.workspace='{workspace}' and a.workspace='{workspace}' and b.workspace='{workspace}' + AND a.name='{source_node_id}' and b.name = '{target_node_id}' + COLUMNS (e.id,a.name as source_id) + ) t1 JOIN LIGHTRAG_GRAPH_EDGES t2 on t1.id=t2.id""", + + "get_node_edges": + """SELECT source_name,target_name + FROM GRAPH_TABLE (lightrag_graph + MATCH (a)-[e]->(b) + WHERE e.workspace='{workspace}' and a.workspace='{workspace}' and b.workspace='{workspace}' + AND a.name='{source_node_id}' + COLUMNS (a.name as source_name,b.name as target_name))""", + + "merge_node": """MERGE INTO LIGHTRAG_GRAPH_NODES a + USING DUAL + ON (a.workspace = '{workspace}' and a.name='{name}' and a.source_chunk_id='{source_chunk_id}') + WHEN NOT MATCHED THEN + INSERT(workspace,name,entity_type,description,source_chunk_id,content,content_vector) + values (:1,:2,:3,:4,:5,:6,:7) """, + "merge_edge": """MERGE INTO LIGHTRAG_GRAPH_EDGES a + USING DUAL + ON (a.workspace = '{workspace}' and a.source_name='{source_name}' and a.target_name='{target_name}' and a.source_chunk_id='{source_chunk_id}') + WHEN NOT MATCHED THEN + INSERT(workspace,source_name,target_name,weight,keywords,description,source_chunk_id,content,content_vector) + values (:1,:2,:3,:4,:5,:6,:7,:8,:9) """ + } diff --git a/lightrag/lightrag.py b/lightrag/lightrag.py index 2ae59f3b..d6a82d71 100644 --- a/lightrag/lightrag.py +++ b/lightrag/lightrag.py @@ -18,20 +18,6 @@ naive_query, ) -from .storage import ( - JsonKVStorage, - NanoVectorDBStorage, - NetworkXStorage, -) - -from .kg.neo4j_impl import Neo4JStorage -# future KG integrations - -# from .kg.ArangoDB_impl import ( -# GraphStorage as ArangoDBStorage -# ) - - from .utils import ( EmbeddingFunc, compute_mdhash_id, @@ -49,6 +35,26 @@ ) +from .storage import ( + JsonKVStorage, + NanoVectorDBStorage, + NetworkXStorage, + ) + +from .kg.neo4j_impl import Neo4JStorage + +from .kg.oracle_impl import ( + OracleKVStorage, + OracleGraphStorage, + OracleVectorDBStorage + ) + +# future KG integrations + +# from .kg.ArangoDB_impl import ( +# GraphStorage as ArangoDBStorage +# ) + def always_get_an_event_loop() -> asyncio.AbstractEventLoop: try: return asyncio.get_event_loop() @@ -68,7 +74,9 @@ class LightRAG: default_factory=lambda: f"./lightrag_cache_{datetime.now().strftime('%Y-%m-%d-%H:%M:%S')}" ) - kg: str = field(default="NetworkXStorage") + kv_storage : str = field(default="JsonKVStorage") + vector_storage: str = field(default="NanoVectorDBStorage") + graph_storage: str = field(default="NetworkXStorage") current_log_level = logger.level log_level: str = field(default=current_log_level) @@ -108,9 +116,16 @@ class LightRAG: llm_model_kwargs: dict = field(default_factory=dict) # storage - key_string_value_json_storage_cls: Type[BaseKVStorage] = JsonKVStorage - vector_db_storage_cls: Type[BaseVectorStorage] = NanoVectorDBStorage + vector_db_storage_cls_kwargs: dict = field(default_factory=dict) + # if DATABASE_TYPE is None: + # key_string_value_json_storage_cls: Type[BaseKVStorage] = JsonKVStorage + # vector_db_storage_cls: Type[BaseVectorStorage] = NanoVectorDBStorage + # vector_db_storage_cls_kwargs: dict = field(default_factory=dict) + # elif DATABASE_TYPE == "oracle": + # key_string_value_json_storage_cls: Type[BaseKVStorage] = OracleKVStorage, + # vector_db_storage_cls: Type[BaseVectorStorage] = OracleVectorDBStorage, + enable_llm_cache: bool = True # extension @@ -128,21 +143,16 @@ def __post_init__(self): logger.debug(f"LightRAG init with param:\n {_print_config}\n") # @TODO: should move all storage setup here to leverage initial start params attached to self. - self.graph_storage_cls: Type[BaseGraphStorage] = self._get_storage_class()[ - self.kg - ] + self. key_string_value_json_storage_cls: Type[BaseKVStorage] = self._get_storage_class()[self.kv_storage] + + self.graph_storage_cls: Type[BaseGraphStorage] = self._get_storage_class()[self.graph_storage] + + self.vector_db_storage_cls: Type[BaseVectorStorage] = self._get_storage_class()[self.vector_storage] if not os.path.exists(self.working_dir): logger.info(f"Creating working directory {self.working_dir}") os.makedirs(self.working_dir) - self.full_docs = self.key_string_value_json_storage_cls( - namespace="full_docs", global_config=asdict(self) - ) - - self.text_chunks = self.key_string_value_json_storage_cls( - namespace="text_chunks", global_config=asdict(self) - ) self.llm_response_cache = ( self.key_string_value_json_storage_cls( @@ -151,14 +161,27 @@ def __post_init__(self): if self.enable_llm_cache else None ) - self.chunk_entity_relation_graph = self.graph_storage_cls( - namespace="chunk_entity_relation", global_config=asdict(self) - ) self.embedding_func = limit_async_func_call(self.embedding_func_max_async)( self.embedding_func ) + #### + # add embedding func by walter + #### + self.full_docs = self.key_string_value_json_storage_cls( + namespace="full_docs", global_config=asdict(self), embedding_func=self.embedding_func + ) + self.text_chunks = self.key_string_value_json_storage_cls( + namespace="text_chunks", global_config=asdict(self), embedding_func=self.embedding_func + ) + self.chunk_entity_relation_graph = self.graph_storage_cls( + namespace="chunk_entity_relation", global_config=asdict(self), embedding_func=self.embedding_func + ) + #### + # add embedding func by walter over + #### + self.entities_vdb = self.vector_db_storage_cls( namespace="entities", global_config=asdict(self), @@ -187,8 +210,15 @@ def __post_init__(self): def _get_storage_class(self) -> Type[BaseGraphStorage]: return { + "JsonKVStorage":JsonKVStorage, + "OracleKVStorage":OracleKVStorage, + + "NanoVectorDBStorage":NanoVectorDBStorage, + "OracleVectorDBStorage":OracleVectorDBStorage, + "Neo4JStorage": Neo4JStorage, "NetworkXStorage": NetworkXStorage, + "OracleGraphStorage": OracleGraphStorage, # "ArangoDBStorage": ArangoDBStorage } diff --git a/lightrag/prompt.py b/lightrag/prompt.py index ba2516d8..e0713859 100644 --- a/lightrag/prompt.py +++ b/lightrag/prompt.py @@ -222,14 +222,24 @@ """ -PROMPTS["naive_rag_response"] = """You're a helpful assistant -Below are the knowledge you know: -{content_data} ---- -If you don't know the answer or if the provided knowledge do not contain sufficient information to provide an answer, just say so. Do not make anything up. +PROMPTS["naive_rag_response"] = """---Role--- + +You are a helpful assistant responding to questions about documents provided. + + +---Goal--- + Generate a response of the target length and format that responds to the user's question, summarizing all information in the input data tables appropriate for the response length and format, and incorporating any relevant general knowledge. If you don't know the answer, just say so. Do not make anything up. Do not include information where the supporting evidence for it is not provided. + ---Target response length and format--- + {response_type} + +---Documents--- + +{content_data} + +Add sections and commentary to the response as appropriate for the length and format. Style the response in markdown. """ diff --git a/requirements.txt b/requirements.txt index 8620fe10..890659cf 100644 --- a/requirements.txt +++ b/requirements.txt @@ -15,3 +15,4 @@ torch transformers xxhash # lmdeploy[all] +oracledb From 32cf860b8386fdfc51b4ceaf62de5c0401d46b80 Mon Sep 17 00:00:00 2001 From: jin <52519003+jin38324@users.noreply.github.com> Date: Fri, 8 Nov 2024 15:02:29 +0800 Subject: [PATCH 161/258] Update README.md --- README.md | 1 + 1 file changed, 1 insertion(+) diff --git a/README.md b/README.md index b726f605..11b55ed6 100644 --- a/README.md +++ b/README.md @@ -22,6 +22,7 @@ This repository hosts the code of LightRAG. The structure of this code is based ## 🎉 News +- [x] [2024.11.08]🎯📢You can [use Oracle Database 23ai for Storage](https://github.com/HKUDS/LightRAG/blob/main/examples/lightrag_oracle_demo.py) now. - [x] [2024.11.04]🎯📢You can [use Neo4J for Storage](https://github.com/HKUDS/LightRAG?tab=readme-ov-file#using-neo4j-for-storage) now. - [x] [2024.10.29]🎯📢LightRAG now supports multiple file types, including PDF, DOC, PPT, and CSV via `textract`. - [x] [2024.10.20]🎯📢We’ve added a new feature to LightRAG: Graph Visualization. From 5e9d19d5a3a20b4a6357dbbec38945201afc9dd4 Mon Sep 17 00:00:00 2001 From: jin <52519003+jin38324@users.noreply.github.com> Date: Fri, 8 Nov 2024 16:12:58 +0800 Subject: [PATCH 162/258] support Oracle Database storage --- README.md | 2 +- examples/lightrag_oracle_demo.py | 2 +- lightrag/lightrag.py | 19 ++++++------------- 3 files changed, 8 insertions(+), 15 deletions(-) diff --git a/README.md b/README.md index 11b55ed6..d4893769 100644 --- a/README.md +++ b/README.md @@ -22,7 +22,7 @@ This repository hosts the code of LightRAG. The structure of this code is based ## 🎉 News -- [x] [2024.11.08]🎯📢You can [use Oracle Database 23ai for Storage](https://github.com/HKUDS/LightRAG/blob/main/examples/lightrag_oracle_demo.py) now. +- [x] [2024.11.08]🎯📢You can [use Oracle Database 23ai for all storage types (kv/vector/graph)](https://github.com/HKUDS/LightRAG/blob/main/examples/lightrag_oracle_demo.py) now. - [x] [2024.11.04]🎯📢You can [use Neo4J for Storage](https://github.com/HKUDS/LightRAG?tab=readme-ov-file#using-neo4j-for-storage) now. - [x] [2024.10.29]🎯📢LightRAG now supports multiple file types, including PDF, DOC, PPT, and CSV via `textract`. - [x] [2024.10.20]🎯📢We’ve added a new feature to LightRAG: Graph Visualization. diff --git a/examples/lightrag_oracle_demo.py b/examples/lightrag_oracle_demo.py index 94a47965..93f0799d 100644 --- a/examples/lightrag_oracle_demo.py +++ b/examples/lightrag_oracle_demo.py @@ -116,7 +116,7 @@ async def main(): modes = ["naive", "local", "global", "hybrid"] for mode in modes: print("="*20, mode, "="*20) - print(await rag.aquery("这个文章讲了什么?", param=QueryParam(mode=mode))) + print(await rag.aquery("What are the top themes in this story?", param=QueryParam(mode=mode))) print("-"*100, "\n") except Exception as e: diff --git a/lightrag/lightrag.py b/lightrag/lightrag.py index d6a82d71..820051b7 100644 --- a/lightrag/lightrag.py +++ b/lightrag/lightrag.py @@ -34,7 +34,6 @@ QueryParam, ) - from .storage import ( JsonKVStorage, NanoVectorDBStorage, @@ -116,15 +115,7 @@ class LightRAG: llm_model_kwargs: dict = field(default_factory=dict) # storage - vector_db_storage_cls_kwargs: dict = field(default_factory=dict) - # if DATABASE_TYPE is None: - # key_string_value_json_storage_cls: Type[BaseKVStorage] = JsonKVStorage - # vector_db_storage_cls: Type[BaseVectorStorage] = NanoVectorDBStorage - # vector_db_storage_cls_kwargs: dict = field(default_factory=dict) - # elif DATABASE_TYPE == "oracle": - # key_string_value_json_storage_cls: Type[BaseKVStorage] = OracleKVStorage, - # vector_db_storage_cls: Type[BaseVectorStorage] = OracleVectorDBStorage, enable_llm_cache: bool = True @@ -144,11 +135,10 @@ def __post_init__(self): # @TODO: should move all storage setup here to leverage initial start params attached to self. - self. key_string_value_json_storage_cls: Type[BaseKVStorage] = self._get_storage_class()[self.kv_storage] - + self.key_string_value_json_storage_cls: Type[BaseKVStorage] = self._get_storage_class()[self.kv_storage] + self.vector_db_storage_cls: Type[BaseVectorStorage] = self._get_storage_class()[self.vector_storage] self.graph_storage_cls: Type[BaseGraphStorage] = self._get_storage_class()[self.graph_storage] - self.vector_db_storage_cls: Type[BaseVectorStorage] = self._get_storage_class()[self.vector_storage] if not os.path.exists(self.working_dir): logger.info(f"Creating working directory {self.working_dir}") os.makedirs(self.working_dir) @@ -210,14 +200,17 @@ def __post_init__(self): def _get_storage_class(self) -> Type[BaseGraphStorage]: return { + # kv storage "JsonKVStorage":JsonKVStorage, "OracleKVStorage":OracleKVStorage, + # vector storage "NanoVectorDBStorage":NanoVectorDBStorage, "OracleVectorDBStorage":OracleVectorDBStorage, - "Neo4JStorage": Neo4JStorage, + # graph storage "NetworkXStorage": NetworkXStorage, + "Neo4JStorage": Neo4JStorage, "OracleGraphStorage": OracleGraphStorage, # "ArangoDBStorage": ArangoDBStorage } From d68fc3d2482bd83583a18a7a82256fa2e7c7c951 Mon Sep 17 00:00:00 2001 From: jin <52519003+jin38324@users.noreply.github.com> Date: Fri, 8 Nov 2024 16:20:34 +0800 Subject: [PATCH 163/258] support Oracle DB --- examples/lightrag_oracle_demo.py | 4 ++-- lightrag/lightrag.py | 2 +- 2 files changed, 3 insertions(+), 3 deletions(-) diff --git a/examples/lightrag_oracle_demo.py b/examples/lightrag_oracle_demo.py index 93f0799d..166f2b9a 100644 --- a/examples/lightrag_oracle_demo.py +++ b/examples/lightrag_oracle_demo.py @@ -71,13 +71,13 @@ async def main(): # We storage data in unified tables, so we need to set a `workspace` parameter to specify which docs we want to store and query # Below is an example of how to connect to Oracle Autonomous Database on Oracle Cloud oracle_db = OracleDB(config={ - "user":"RAG", + "user":"username", "password":"xxxxxxxxx", "dsn":"xxxxxxx_medium", "config_dir":"dir/path/to/oracle/config", "wallet_location":"dir/path/to/oracle/wallet", "wallet_password":"xxxxxxxxx", - "workspace":"company" # specify which docs we want to store and query + "workspace":"company" # specify which docs you want to store and query } ) diff --git a/lightrag/lightrag.py b/lightrag/lightrag.py index 820051b7..3a426a22 100644 --- a/lightrag/lightrag.py +++ b/lightrag/lightrag.py @@ -146,7 +146,7 @@ def __post_init__(self): self.llm_response_cache = ( self.key_string_value_json_storage_cls( - namespace="llm_response_cache", global_config=asdict(self) + namespace="llm_response_cache", global_config=asdict(self),embedding_func=None ) if self.enable_llm_cache else None From b1a0397d18bc2832a0ca83dd6d1abed5d182fc24 Mon Sep 17 00:00:00 2001 From: jin <52519003+jin38324@users.noreply.github.com> Date: Fri, 8 Nov 2024 16:27:15 +0800 Subject: [PATCH 164/258] support Oralce DB --- requirements.txt | 24 ++++++++++++++---------- 1 file changed, 14 insertions(+), 10 deletions(-) diff --git a/requirements.txt b/requirements.txt index 890659cf..d57de091 100644 --- a/requirements.txt +++ b/requirements.txt @@ -1,18 +1,22 @@ accelerate -aioboto3 aiohttp -graspologic -hnswlib -nano-vectordb -neo4j -networkx -ollama -openai pyvis tenacity +xxhash +# lmdeploy[all] + +# LLM packages tiktoken torch transformers -xxhash -# lmdeploy[all] +aioboto3 +ollama +openai + +# database packages +graspologic +hnswlib +networkx oracledb +nano-vectordb +neo4j \ No newline at end of file From a445e556d8ea11e3edd305f78d98cdf709f71a21 Mon Sep 17 00:00:00 2001 From: Haotian Zhang Date: Sat, 9 Nov 2024 14:59:41 -0500 Subject: [PATCH 165/258] Update README.md add missing imports to examples in README.md --- README.md | 2 ++ 1 file changed, 2 insertions(+) diff --git a/README.md b/README.md index b726f605..7d798b17 100644 --- a/README.md +++ b/README.md @@ -142,6 +142,7 @@ rag = LightRAG( ```python from lightrag.llm import hf_model_complete, hf_embedding from transformers import AutoModel, AutoTokenizer +from lightrag.utils import EmbeddingFunc # Initialize LightRAG with Hugging Face model rag = LightRAG( @@ -172,6 +173,7 @@ Then you only need to set LightRAG as follows: ```python from lightrag.llm import ollama_model_complete, ollama_embedding +from lightrag.utils import EmbeddingFunc # Initialize LightRAG with Ollama model rag = LightRAG( From a307065828f991a5d089175f3df2f983a8523ce7 Mon Sep 17 00:00:00 2001 From: aiproductguy Date: Sat, 9 Nov 2024 18:48:10 -0700 Subject: [PATCH 166/258] Added GUI (linked), updated README.md I am not sure streamlit is the interface I want to contribute back to the LightRAG project, but willing to share it all under the same MIT license. I figured I would at least share the link and source code in the README. --- README.md | 5 +++-- 1 file changed, 3 insertions(+), 2 deletions(-) diff --git a/README.md b/README.md index b726f605..6356db33 100644 --- a/README.md +++ b/README.md @@ -1,7 +1,7 @@

🚀 LightRAG: Simple and Fast Retrieval-Augmented Generation

-![请添加图片描述](https://i-blog.csdnimg.cn/direct/567139f1a36e4564abc63ce5c12b6271.jpeg) +![LightRAG Image](https://i-blog.csdnimg.cn/direct/567139f1a36e4564abc63ce5c12b6271.jpeg)

@@ -18,10 +18,11 @@

This repository hosts the code of LightRAG. The structure of this code is based on [nano-graphrag](https://github.com/gusye1234/nano-graphrag). -![请添加图片描述](https://i-blog.csdnimg.cn/direct/b2aaf634151b4706892693ffb43d9093.png) +![LightRAG Diagram](https://i-blog.csdnimg.cn/direct/b2aaf634151b4706892693ffb43d9093.png)
## 🎉 News +- [x] [2024.11.09]🎯📢Now comes [LightRAG Gui](https://lightrag-gui.streamlit.app) that lets you insert, query, visualize, and download LightRAG knowledge. - [x] [2024.11.04]🎯📢You can [use Neo4J for Storage](https://github.com/HKUDS/LightRAG?tab=readme-ov-file#using-neo4j-for-storage) now. - [x] [2024.10.29]🎯📢LightRAG now supports multiple file types, including PDF, DOC, PPT, and CSV via `textract`. - [x] [2024.10.20]🎯📢We’ve added a new feature to LightRAG: Graph Visualization. From d0c1844264bec0e2c5fc339c23b45d5a5b436c52 Mon Sep 17 00:00:00 2001 From: LarFii <834462287@qq.com> Date: Mon, 11 Nov 2024 10:45:22 +0800 Subject: [PATCH 167/258] Linting --- Dockerfile | 2 +- README.md | 9 +++---- .../lightrag_api_openai_compatible_demo.py | 19 +++++++++----- lightrag/__init__.py | 2 +- lightrag/kg/__init__.py | 2 -- lightrag/kg/neo4j_impl.py | 4 +-- lightrag/lightrag.py | 1 - lightrag/operate.py | 25 +++++++++---------- test.py | 2 +- test_neo4j.py | 2 +- 10 files changed, 35 insertions(+), 33 deletions(-) diff --git a/Dockerfile b/Dockerfile index 1b60c089..787816fe 100644 --- a/Dockerfile +++ b/Dockerfile @@ -53,4 +53,4 @@ VOLUME /data /logs EXPOSE 7474 7473 7687 ENTRYPOINT ["tini", "-g", "--", "/startup/docker-entrypoint.sh"] -CMD ["neo4j"] \ No newline at end of file +CMD ["neo4j"] diff --git a/README.md b/README.md index ec53d444..3cbacab7 100644 --- a/README.md +++ b/README.md @@ -196,7 +196,7 @@ rag = LightRAG( ### Using Neo4J for Storage * For production level scenarios you will most likely want to leverage an enterprise solution -* for KG storage. Running Neo4J in Docker is recommended for seamless local testing. +* for KG storage. Running Neo4J in Docker is recommended for seamless local testing. * See: https://hub.docker.com/_/neo4j @@ -209,7 +209,7 @@ When you launch the project be sure to override the default KG: NetworkS by specifying kg="Neo4JStorage". # Note: Default settings use NetworkX -#Initialize LightRAG with Neo4J implementation. +#Initialize LightRAG with Neo4J implementation. WORKING_DIR = "./local_neo4jWorkDir" rag = LightRAG( @@ -503,8 +503,8 @@ pip install fastapi uvicorn pydantic export RAG_DIR="your_index_directory" # Optional: Defaults to "index_default" export OPENAI_BASE_URL="Your OpenAI API base URL" # Optional: Defaults to "https://api.openai.com/v1" export OPENAI_API_KEY="Your OpenAI API key" # Required -export LLM_MODEL="Your LLM model" # Optional: Defaults to "gpt-4o-mini" -export EMBEDDING_MODEL="Your embedding model" # Optional: Defaults to "text-embedding-3-large" +export LLM_MODEL="Your LLM model" # Optional: Defaults to "gpt-4o-mini" +export EMBEDDING_MODEL="Your embedding model" # Optional: Defaults to "text-embedding-3-large" ``` 3. Run the API server: @@ -923,4 +923,3 @@ primaryClass={cs.IR} } ``` **Thank you for your interest in our work!** - diff --git a/examples/lightrag_api_openai_compatible_demo.py b/examples/lightrag_api_openai_compatible_demo.py index 20a05a5f..39001b10 100644 --- a/examples/lightrag_api_openai_compatible_demo.py +++ b/examples/lightrag_api_openai_compatible_demo.py @@ -33,7 +33,7 @@ async def llm_model_func( - prompt, system_prompt=None, history_messages=[], **kwargs + prompt, system_prompt=None, history_messages=[], **kwargs ) -> str: return await openai_complete_if_cache( LLM_MODEL, @@ -66,9 +66,11 @@ async def get_embedding_dim(): rag = LightRAG( working_dir=WORKING_DIR, llm_model_func=llm_model_func, - embedding_func=EmbeddingFunc(embedding_dim=asyncio.run(get_embedding_dim()), - max_token_size=EMBEDDING_MAX_TOKEN_SIZE, - func=embedding_func), + embedding_func=EmbeddingFunc( + embedding_dim=asyncio.run(get_embedding_dim()), + max_token_size=EMBEDDING_MAX_TOKEN_SIZE, + func=embedding_func, + ), ) @@ -99,8 +101,13 @@ async def query_endpoint(request: QueryRequest): try: loop = asyncio.get_event_loop() result = await loop.run_in_executor( - None, lambda: rag.query(request.query, - param=QueryParam(mode=request.mode, only_need_context=request.only_need_context)) + None, + lambda: rag.query( + request.query, + param=QueryParam( + mode=request.mode, only_need_context=request.only_need_context + ), + ), ) return Response(status="success", data=result) except Exception as e: diff --git a/lightrag/__init__.py b/lightrag/__init__.py index 8e76a260..b73db1b9 100644 --- a/lightrag/__init__.py +++ b/lightrag/__init__.py @@ -1,5 +1,5 @@ from .lightrag import LightRAG as LightRAG, QueryParam as QueryParam -__version__ = "0.0.8" +__version__ = "0.0.9" __author__ = "Zirui Guo" __url__ = "https://github.com/HKUDS/LightRAG" diff --git a/lightrag/kg/__init__.py b/lightrag/kg/__init__.py index de9c1f9a..087eaac9 100644 --- a/lightrag/kg/__init__.py +++ b/lightrag/kg/__init__.py @@ -1,3 +1 @@ # print ("init package vars here. ......") - - diff --git a/lightrag/kg/neo4j_impl.py b/lightrag/kg/neo4j_impl.py index 4a3a4e66..e6b33a9b 100644 --- a/lightrag/kg/neo4j_impl.py +++ b/lightrag/kg/neo4j_impl.py @@ -146,11 +146,11 @@ async def get_edge( entity_name_label_target = target_node_id.strip('"') """ Find all edges between nodes of two given labels - + Args: source_node_label (str): Label of the source nodes target_node_label (str): Label of the target nodes - + Returns: list: List of all relationships/edges found """ diff --git a/lightrag/lightrag.py b/lightrag/lightrag.py index 2ae59f3b..3abe9185 100644 --- a/lightrag/lightrag.py +++ b/lightrag/lightrag.py @@ -61,7 +61,6 @@ def always_get_an_event_loop() -> asyncio.AbstractEventLoop: return loop - @dataclass class LightRAG: working_dir: str = field( diff --git a/lightrag/operate.py b/lightrag/operate.py index 04725d6a..e86388dc 100644 --- a/lightrag/operate.py +++ b/lightrag/operate.py @@ -560,19 +560,19 @@ async def _find_most_related_text_unit_from_entities( if not this_edges: continue all_one_hop_nodes.update([e[1] for e in this_edges]) - + all_one_hop_nodes = list(all_one_hop_nodes) all_one_hop_nodes_data = await asyncio.gather( *[knowledge_graph_inst.get_node(e) for e in all_one_hop_nodes] ) - + # Add null check for node data all_one_hop_text_units_lookup = { k: set(split_string_by_multi_markers(v["source_id"], [GRAPH_FIELD_SEP])) for k, v in zip(all_one_hop_nodes, all_one_hop_nodes_data) if v is not None and "source_id" in v # Add source_id check } - + all_text_units_lookup = {} for index, (this_text_units, this_edges) in enumerate(zip(text_units, edges)): for c_id in this_text_units: @@ -586,7 +586,7 @@ async def _find_most_related_text_unit_from_entities( and c_id in all_one_hop_text_units_lookup[e[1]] ): relation_counts += 1 - + chunk_data = await text_chunks_db.get_by_id(c_id) if chunk_data is not None and "content" in chunk_data: # Add content check all_text_units_lookup[c_id] = { @@ -594,29 +594,28 @@ async def _find_most_related_text_unit_from_entities( "order": index, "relation_counts": relation_counts, } - + # Filter out None values and ensure data has content all_text_units = [ - {"id": k, **v} - for k, v in all_text_units_lookup.items() + {"id": k, **v} + for k, v in all_text_units_lookup.items() if v is not None and v.get("data") is not None and "content" in v["data"] ] - + if not all_text_units: logger.warning("No valid text units found") return [] - + all_text_units = sorted( - all_text_units, - key=lambda x: (x["order"], -x["relation_counts"]) + all_text_units, key=lambda x: (x["order"], -x["relation_counts"]) ) - + all_text_units = truncate_list_by_token_size( all_text_units, key=lambda x: x["data"]["content"], max_token_size=query_param.max_token_for_text_unit, ) - + all_text_units = [t["data"] for t in all_text_units] return all_text_units diff --git a/test.py b/test.py index 35c03afe..84cbe373 100644 --- a/test.py +++ b/test.py @@ -1,6 +1,6 @@ import os from lightrag import LightRAG, QueryParam -from lightrag.llm import gpt_4o_mini_complete, gpt_4o_complete +from lightrag.llm import gpt_4o_mini_complete ######### # Uncomment the below two lines if running in a jupyter notebook to handle the async nature of rag.insert() # import nest_asyncio diff --git a/test_neo4j.py b/test_neo4j.py index 7b13734e..822cd7bc 100644 --- a/test_neo4j.py +++ b/test_neo4j.py @@ -1,6 +1,6 @@ import os from lightrag import LightRAG, QueryParam -from lightrag.llm import gpt_4o_mini_complete, gpt_4o_complete +from lightrag.llm import gpt_4o_mini_complete ######### From 319de6fece5a448e567ffbacbf1dc8ad2b1ae00c Mon Sep 17 00:00:00 2001 From: LarFii <834462287@qq.com> Date: Mon, 11 Nov 2024 10:52:01 +0800 Subject: [PATCH 168/258] Update README.md --- README.md | 9 ++++++++- 1 file changed, 8 insertions(+), 1 deletion(-) diff --git a/README.md b/README.md index 3cbacab7..59245c44 100644 --- a/README.md +++ b/README.md @@ -869,6 +869,9 @@ def extract_queries(file_path): │ ├── lightrag_siliconcloud_demo.py │ └── vram_management_demo.py ├── lightrag +│ ├── kg +│ │ ├── __init__.py +│ │ └── neo4j_impl.py │ ├── __init__.py │ ├── base.py │ ├── lightrag.py @@ -886,10 +889,14 @@ def extract_queries(file_path): │ └── Step_3.py ├── .gitignore ├── .pre-commit-config.yaml +├── Dockerfile +├── get_all_edges_nx.py ├── LICENSE ├── README.md ├── requirements.txt -└── setup.py +├── setup.py +├── test_neo4j.py +└── test.py ``` ## Star History From b1cf41d24251c19ed95c6906da6571e9aeb02a8b Mon Sep 17 00:00:00 2001 From: jin <52519003+jin38324@users.noreply.github.com> Date: Mon, 11 Nov 2024 15:19:42 +0800 Subject: [PATCH 169/258] fix bug --- .gitignore | 1 + lightrag/base.py | 2 +- lightrag/operate.py | 10 +++++++--- lightrag/prompt.py | 2 +- test.py | 2 +- 5 files changed, 11 insertions(+), 6 deletions(-) diff --git a/.gitignore b/.gitignore index def738b2..65aaaa02 100644 --- a/.gitignore +++ b/.gitignore @@ -10,3 +10,4 @@ local_neo4jWorkDir/ neo4jWorkDir/ ignore_this.txt .venv/ +*.ignore.* diff --git a/lightrag/base.py b/lightrag/base.py index 97524472..b88acae2 100644 --- a/lightrag/base.py +++ b/lightrag/base.py @@ -84,7 +84,7 @@ async def drop(self): @dataclass class BaseGraphStorage(StorageNameSpace): - embedding_func: EmbeddingFunc + embedding_func: EmbeddingFunc = None async def has_node(self, node_id: str) -> bool: raise NotImplementedError diff --git a/lightrag/operate.py b/lightrag/operate.py index 04725d6a..3fcc80c8 100644 --- a/lightrag/operate.py +++ b/lightrag/operate.py @@ -16,6 +16,7 @@ split_string_by_multi_markers, truncate_list_by_token_size, process_combine_contexts, + locate_json_string_body_from_string ) from .base import ( BaseGraphStorage, @@ -403,9 +404,10 @@ async def local_query( kw_prompt_temp = PROMPTS["keywords_extraction"] kw_prompt = kw_prompt_temp.format(query=query) result = await use_model_func(kw_prompt) + json_text = locate_json_string_body_from_string(result) try: - keywords_data = json.loads(result) + keywords_data = json.loads(json_text) keywords = keywords_data.get("low_level_keywords", []) keywords = ", ".join(keywords) except json.JSONDecodeError: @@ -670,9 +672,10 @@ async def global_query( kw_prompt_temp = PROMPTS["keywords_extraction"] kw_prompt = kw_prompt_temp.format(query=query) result = await use_model_func(kw_prompt) + json_text = locate_json_string_body_from_string(result) try: - keywords_data = json.loads(result) + keywords_data = json.loads(json_text) keywords = keywords_data.get("high_level_keywords", []) keywords = ", ".join(keywords) except json.JSONDecodeError: @@ -911,8 +914,9 @@ async def hybrid_query( kw_prompt = kw_prompt_temp.format(query=query) result = await use_model_func(kw_prompt) + json_text = locate_json_string_body_from_string(result) try: - keywords_data = json.loads(result) + keywords_data = json.loads(json_text) hl_keywords = keywords_data.get("high_level_keywords", []) ll_keywords = keywords_data.get("low_level_keywords", []) hl_keywords = ", ".join(hl_keywords) diff --git a/lightrag/prompt.py b/lightrag/prompt.py index e0713859..5de116b3 100644 --- a/lightrag/prompt.py +++ b/lightrag/prompt.py @@ -14,7 +14,7 @@ -Steps- 1. Identify all entities. For each identified entity, extract the following information: -- entity_name: Name of the entity, capitalized +- entity_name: Name of the entity, use same language as input text. If English, capitalized the name. - entity_type: One of the following types: [{entity_types}] - entity_description: Comprehensive description of the entity's attributes and activities Format each entity as ("entity"{tuple_delimiter}{tuple_delimiter}{tuple_delimiter} diff --git a/test.py b/test.py index 35c03afe..c5d7fec0 100644 --- a/test.py +++ b/test.py @@ -18,7 +18,7 @@ # llm_model_func=gpt_4o_complete # Optionally, use a stronger model ) -with open("./book.txt") as f: +with open("./dickens/book.txt", "r", encoding="utf-8") as f: rag.insert(f.read()) # Perform naive search From 10e4c595c58fe1c756e2444d15348bc824ced027 Mon Sep 17 00:00:00 2001 From: jin <52519003+jin38324@users.noreply.github.com> Date: Mon, 11 Nov 2024 15:24:31 +0800 Subject: [PATCH 170/258] Update oracle_impl.py --- lightrag/kg/oracle_impl.py | 2 +- 1 file changed, 1 insertion(+), 1 deletion(-) diff --git a/lightrag/kg/oracle_impl.py b/lightrag/kg/oracle_impl.py index ab6312a7..2980de6f 100644 --- a/lightrag/kg/oracle_impl.py +++ b/lightrag/kg/oracle_impl.py @@ -279,7 +279,7 @@ async def index_done_callback(self): pass - #################### query method ################ + #################### query method ############### async def query(self, query: str, top_k=5) -> Union[dict, list[dict]]: """从向量数据库中查询数据""" embeddings = await self.embedding_func([query]) From 8a7fb9761fc5aef6e345347c237ac57af8c0fb36 Mon Sep 17 00:00:00 2001 From: jin <52519003+jin38324@users.noreply.github.com> Date: Mon, 11 Nov 2024 15:32:30 +0800 Subject: [PATCH 171/258] Update oracle_impl.py --- lightrag/kg/oracle_impl.py | 2 +- 1 file changed, 1 insertion(+), 1 deletion(-) diff --git a/lightrag/kg/oracle_impl.py b/lightrag/kg/oracle_impl.py index 2980de6f..1d8b5002 100644 --- a/lightrag/kg/oracle_impl.py +++ b/lightrag/kg/oracle_impl.py @@ -413,7 +413,7 @@ async def index_done_callback(self): """写入graphhml图文件""" logger.info("Node and edge data had been saved into oracle db already, so nothing to do here!") - #################### query method ################ + #################### query method ################# async def has_node(self, node_id: str) -> bool: """根据节点id检查节点是否存在""" SQL = SQL_TEMPLATES["has_node"].format(workspace=self.db.workspace, node_id=node_id) From 591adfe1c9c14820f6d4e8cd3e425be382def681 Mon Sep 17 00:00:00 2001 From: jin <52519003+jin38324@users.noreply.github.com> Date: Mon, 11 Nov 2024 16:37:24 +0800 Subject: [PATCH 172/258] Create lightrag_api_oracle_demo..py --- examples/lightrag_api_oracle_demo..py | 232 ++++++++++++++++++++++++++ 1 file changed, 232 insertions(+) create mode 100644 examples/lightrag_api_oracle_demo..py diff --git a/examples/lightrag_api_oracle_demo..py b/examples/lightrag_api_oracle_demo..py new file mode 100644 index 00000000..8346b66c --- /dev/null +++ b/examples/lightrag_api_oracle_demo..py @@ -0,0 +1,232 @@ + +from fastapi import FastAPI, HTTPException, File, UploadFile +from contextlib import asynccontextmanager +from pydantic import BaseModel +from typing import Optional + +import sys, os +print(os.getcwd()) +from pathlib import Path +script_directory = Path(__file__).resolve().parent.parent +sys.path.append(os.path.abspath(script_directory)) + +import asyncio +import nest_asyncio +from lightrag import LightRAG, QueryParam +from lightrag.llm import openai_complete_if_cache, openai_embedding +from lightrag.utils import EmbeddingFunc +import numpy as np +from datetime import datetime + +from lightrag.kg.oracle_impl import OracleDB + + +# Apply nest_asyncio to solve event loop issues +nest_asyncio.apply() + +DEFAULT_RAG_DIR = "index_default" + + +# We use OpenAI compatible API to call LLM on Oracle Cloud +# More docs here https://github.com/jin38324/OCI_GenAI_access_gateway +BASE_URL = "http://xxx.xxx.xxx.xxx:8088/v1/" +APIKEY = "ocigenerativeai" + +# Configure working directory +WORKING_DIR = os.environ.get("RAG_DIR", f"{DEFAULT_RAG_DIR}") +print(f"WORKING_DIR: {WORKING_DIR}") +LLM_MODEL = os.environ.get("LLM_MODEL", "cohere.command-r-plus") +print(f"LLM_MODEL: {LLM_MODEL}") +EMBEDDING_MODEL = os.environ.get("EMBEDDING_MODEL", "cohere.embed-multilingual-v3.0") +print(f"EMBEDDING_MODEL: {EMBEDDING_MODEL}") +EMBEDDING_MAX_TOKEN_SIZE = int(os.environ.get("EMBEDDING_MAX_TOKEN_SIZE", 512)) +print(f"EMBEDDING_MAX_TOKEN_SIZE: {EMBEDDING_MAX_TOKEN_SIZE}") + + +if not os.path.exists(WORKING_DIR): + os.mkdir(WORKING_DIR) + +async def llm_model_func( + prompt, system_prompt=None, history_messages=[], **kwargs +) -> str: + return await openai_complete_if_cache( + LLM_MODEL, + prompt, + system_prompt=system_prompt, + history_messages=history_messages, + api_key=APIKEY, + base_url=BASE_URL, + **kwargs, + ) + + +async def embedding_func(texts: list[str]) -> np.ndarray: + return await openai_embedding( + texts, + model=EMBEDDING_MODEL, + api_key=APIKEY, + base_url=BASE_URL, + ) + + +async def get_embedding_dim(): + test_text = ["This is a test sentence."] + embedding = await embedding_func(test_text) + embedding_dim = embedding.shape[1] + return embedding_dim + +async def init(): + + # Detect embedding dimension + embedding_dimension = await get_embedding_dim() + print(f"Detected embedding dimension: {embedding_dimension}") + # Create Oracle DB connection + # The `config` parameter is the connection configuration of Oracle DB + # More docs here https://python-oracledb.readthedocs.io/en/latest/user_guide/connection_handling.html + # We storage data in unified tables, so we need to set a `workspace` parameter to specify which docs we want to store and query + # Below is an example of how to connect to Oracle Autonomous Database on Oracle Cloud + + + oracle_db = OracleDB(config={ + "user":"", + "password":"", + "dsn":"", + "config_dir":"", + "wallet_location":"", + "wallet_password":"", + "workspace":"" + } # specify which docs you want to store and query + ) + + # Check if Oracle DB tables exist, if not, tables will be created + await oracle_db.check_tables() + # Initialize LightRAG + # We use Oracle DB as the KV/vector/graph storage + rag = LightRAG( + enable_llm_cache=False, + working_dir=WORKING_DIR, + chunk_token_size=512, + llm_model_func=llm_model_func, + embedding_func=EmbeddingFunc( + embedding_dim=embedding_dimension, + max_token_size=512, + func=embedding_func, + ), + graph_storage = "OracleGraphStorage", + kv_storage="OracleKVStorage", + vector_storage="OracleVectorDBStorage" + ) + + # Setthe KV/vector/graph storage's `db` property, so all operation will use same connection pool + rag.graph_storage_cls.db = oracle_db + rag.key_string_value_json_storage_cls.db = oracle_db + rag.vector_db_storage_cls.db = oracle_db + + return rag + +# Data models + + +class QueryRequest(BaseModel): + query: str + mode: str = "hybrid" + only_need_context: bool = False + + +class InsertRequest(BaseModel): + text: str + + +class Response(BaseModel): + status: str + data: Optional[str] = None + message: Optional[str] = None + + +# API routes + +rag = None # 定义为全局对象 + +@asynccontextmanager +async def lifespan(app: FastAPI): + global rag + rag = await init() # 在应用启动时初始化 `rag` + print("done!") + yield + + +app = FastAPI(title="LightRAG API", description="API for RAG operations",lifespan=lifespan) + +@app.post("/query", response_model=Response) +async def query_endpoint(request: QueryRequest): + try: + # loop = asyncio.get_event_loop() + result = await rag.aquery( + request.query, + param=QueryParam( + mode=request.mode, only_need_context=request.only_need_context + ), + ) + return Response(status="success", data=result) + except Exception as e: + raise HTTPException(status_code=500, detail=str(e)) + + +@app.post("/insert", response_model=Response) +async def insert_endpoint(request: InsertRequest): + try: + loop = asyncio.get_event_loop() + await loop.run_in_executor(None, lambda: rag.insert(request.text)) + return Response(status="success", message="Text inserted successfully") + except Exception as e: + raise HTTPException(status_code=500, detail=str(e)) + + +@app.post("/insert_file", response_model=Response) +async def insert_file(file: UploadFile = File(...)): + try: + file_content = await file.read() + # Read file content + try: + content = file_content.decode("utf-8") + except UnicodeDecodeError: + # If UTF-8 decoding fails, try other encodings + content = file_content.decode("gbk") + # Insert file content + loop = asyncio.get_event_loop() + await loop.run_in_executor(None, lambda: rag.insert(content)) + + return Response( + status="success", + message=f"File content from {file.filename} inserted successfully", + ) + except Exception as e: + raise HTTPException(status_code=500, detail=str(e)) + + +@app.get("/health") +async def health_check(): + return {"status": "healthy"} + + +if __name__ == "__main__": + import uvicorn + + uvicorn.run(app, host="0.0.0.0", port=8020) + +# Usage example +# To run the server, use the following command in your terminal: +# python lightrag_api_openai_compatible_demo.py + +# Example requests: +# 1. Query: +# curl -X POST "http://127.0.0.1:8020/query" -H "Content-Type: application/json" -d '{"query": "your query here", "mode": "hybrid"}' + +# 2. Insert text: +# curl -X POST "http://127.0.0.1:8020/insert" -H "Content-Type: application/json" -d '{"text": "your text here"}' + +# 3. Insert file: +# curl -X POST "http://127.0.0.1:8020/insert_file" -H "Content-Type: application/json" -d '{"file_path": "path/to/your/file.txt"}' + +# 4. Health check: +# curl -X GET "http://127.0.0.1:8020/health" \ No newline at end of file From 4c0352ee2b6dd89b34e39cd1e2483038c447ff60 Mon Sep 17 00:00:00 2001 From: LarFii <834462287@qq.com> Date: Mon, 11 Nov 2024 17:48:40 +0800 Subject: [PATCH 173/258] Add delete method --- .gitignore | 1 + README.md | 18 ++++++++++++++++ lightrag/__init__.py | 2 +- lightrag/base.py | 2 +- lightrag/lightrag.py | 30 +++++++++++++++++++++++++- lightrag/storage.py | 51 +++++++++++++++++++++++++++++++++++++++++++- 6 files changed, 100 insertions(+), 4 deletions(-) diff --git a/.gitignore b/.gitignore index def738b2..b5c4bb11 100644 --- a/.gitignore +++ b/.gitignore @@ -10,3 +10,4 @@ local_neo4jWorkDir/ neo4jWorkDir/ ignore_this.txt .venv/ +.ruff_cache/ \ No newline at end of file diff --git a/README.md b/README.md index 59245c44..d32458a8 100644 --- a/README.md +++ b/README.md @@ -22,6 +22,7 @@ This repository hosts the code of LightRAG. The structure of this code is based ## 🎉 News +- [x] [2024.11.11]🎯📢LightRAG now supports [deleting entities by their names](https://github.com/HKUDS/LightRAG?tab=readme-ov-file#delete-entity). - [x] [2024.11.09]🎯📢Now comes [LightRAG Gui](https://lightrag-gui.streamlit.app) that lets you insert, query, visualize, and download LightRAG knowledge. - [x] [2024.11.04]🎯📢You can [use Neo4J for Storage](https://github.com/HKUDS/LightRAG?tab=readme-ov-file#using-neo4j-for-storage) now. - [x] [2024.10.29]🎯📢LightRAG now supports multiple file types, including PDF, DOC, PPT, and CSV via `textract`. @@ -318,6 +319,23 @@ with open("./newText.txt") as f: rag.insert(f.read()) ``` +### Delete Entity + +```python +# Delete Entity: Deleting entities by their names +rag = LightRAG( + working_dir=WORKING_DIR, + llm_model_func=llm_model_func, + embedding_func=EmbeddingFunc( + embedding_dim=embedding_dimension, + max_token_size=8192, + func=embedding_func, + ), +) + +rag.delete_by_entity("Project Gutenberg") +``` + ### Multi-file Type Support The `textract` supports reading file types such as TXT, DOCX, PPTX, CSV, and PDF. diff --git a/lightrag/__init__.py b/lightrag/__init__.py index b73db1b9..6d9003ff 100644 --- a/lightrag/__init__.py +++ b/lightrag/__init__.py @@ -1,5 +1,5 @@ from .lightrag import LightRAG as LightRAG, QueryParam as QueryParam -__version__ = "0.0.9" +__version__ = "1.0.0" __author__ = "Zirui Guo" __url__ = "https://github.com/HKUDS/LightRAG" diff --git a/lightrag/base.py b/lightrag/base.py index cecd5edd..bd472570 100644 --- a/lightrag/base.py +++ b/lightrag/base.py @@ -116,7 +116,7 @@ async def upsert_edge( ): raise NotImplementedError - async def clustering(self, algorithm: str): + async def delete_node(self, node_id: str): raise NotImplementedError async def embed_nodes(self, algorithm: str) -> tuple[np.ndarray, list[str]]: diff --git a/lightrag/lightrag.py b/lightrag/lightrag.py index 3abe9185..b4e4886d 100644 --- a/lightrag/lightrag.py +++ b/lightrag/lightrag.py @@ -188,7 +188,6 @@ def _get_storage_class(self) -> Type[BaseGraphStorage]: return { "Neo4JStorage": Neo4JStorage, "NetworkXStorage": NetworkXStorage, - # "ArangoDBStorage": ArangoDBStorage } def insert(self, string_or_strings): @@ -328,3 +327,32 @@ async def _query_done(self): continue tasks.append(cast(StorageNameSpace, storage_inst).index_done_callback()) await asyncio.gather(*tasks) + + def delete_by_entity(self, entity_name: str): + loop = always_get_an_event_loop() + return loop.run_until_complete(self.adelete_by_entity(entity_name)) + + async def adelete_by_entity(self, entity_name: str): + entity_name = f"\"{entity_name.upper()}\"" + + try: + await self.entities_vdb.delete_entity(entity_name) + await self.relationships_vdb.delete_relation(entity_name) + await self.chunk_entity_relation_graph.delete_node(entity_name) + + logger.info(f"Entity '{entity_name}' and its relationships have been deleted.") + await self._delete_by_entity_done() + except Exception as e: + logger.error(f"Error while deleting entity '{entity_name}': {e}") + + async def _delete_by_entity_done(self): + tasks = [] + for storage_inst in [ + self.entities_vdb, + self.relationships_vdb, + self.chunk_entity_relation_graph, + ]: + if storage_inst is None: + continue + tasks.append(cast(StorageNameSpace, storage_inst).index_done_callback()) + await asyncio.gather(*tasks) \ No newline at end of file diff --git a/lightrag/storage.py b/lightrag/storage.py index 61bebf2d..080562df 100644 --- a/lightrag/storage.py +++ b/lightrag/storage.py @@ -7,7 +7,13 @@ import numpy as np from nano_vectordb import NanoVectorDB -from .utils import load_json, logger, write_json +from .utils import ( + logger, + load_json, + write_json, + compute_mdhash_id, +) + from .base import ( BaseGraphStorage, BaseKVStorage, @@ -110,6 +116,37 @@ async def query(self, query: str, top_k=5): {**dp, "id": dp["__id__"], "distance": dp["__metrics__"]} for dp in results ] return results + + @property + def client_storage(self): + return getattr(self._client, "_NanoVectorDB__storage") + + async def delete_entity(self, entity_name: str): + try: + entity_id = [compute_mdhash_id(entity_name, prefix="ent-")] + + if self._client.get(entity_id): + self._client.delete(entity_id) + logger.info(f"Entity {entity_name} have been deleted.") + else: + logger.info(f"No entity found with name {entity_name}.") + except Exception as e: + logger.error(f"Error while deleting entity {entity_name}: {e}") + + async def delete_relation(self, entity_name: str): + try: + relations = [ + dp for dp in self.client_storage["data"] if dp["src_id"] == entity_name or dp["tgt_id"] == entity_name + ] + ids_to_delete = [relation["__id__"] for relation in relations] + + if ids_to_delete: + self._client.delete(ids_to_delete) + logger.info(f"All relations related to entity {entity_name} have been deleted.") + else: + logger.info(f"No relations found for entity {entity_name}.") + except Exception as e: + logger.error(f"Error while deleting relations for entity {entity_name}: {e}") async def index_done_callback(self): self._client.save() @@ -228,6 +265,18 @@ async def upsert_edge( ): self._graph.add_edge(source_node_id, target_node_id, **edge_data) + async def delete_node(self, node_id: str): + """ + Delete a node from the graph based on the specified node_id. + + :param node_id: The node_id to delete + """ + if self._graph.has_node(node_id): + self._graph.remove_node(node_id) + logger.info(f"Node {node_id} deleted from the graph.") + else: + logger.warning(f"Node {node_id} not found in the graph for deletion.") + async def embed_nodes(self, algorithm: str) -> tuple[np.ndarray, list[str]]: if algorithm not in self._node_embed_algorithms: raise ValueError(f"Node embedding algorithm {algorithm} not supported") From b49f73181c77c8a1fd5446677dd9b3b892979f38 Mon Sep 17 00:00:00 2001 From: LarFii <834462287@qq.com> Date: Mon, 11 Nov 2024 17:54:22 +0800 Subject: [PATCH 174/258] update --- .gitignore | 2 +- lightrag/lightrag.py | 12 +++++++----- lightrag/storage.py | 24 +++++++++++++++--------- 3 files changed, 23 insertions(+), 15 deletions(-) diff --git a/.gitignore b/.gitignore index b5c4bb11..3a6c7858 100644 --- a/.gitignore +++ b/.gitignore @@ -10,4 +10,4 @@ local_neo4jWorkDir/ neo4jWorkDir/ ignore_this.txt .venv/ -.ruff_cache/ \ No newline at end of file +.ruff_cache/ diff --git a/lightrag/lightrag.py b/lightrag/lightrag.py index b4e4886d..8b299749 100644 --- a/lightrag/lightrag.py +++ b/lightrag/lightrag.py @@ -331,20 +331,22 @@ async def _query_done(self): def delete_by_entity(self, entity_name: str): loop = always_get_an_event_loop() return loop.run_until_complete(self.adelete_by_entity(entity_name)) - + async def adelete_by_entity(self, entity_name: str): - entity_name = f"\"{entity_name.upper()}\"" + entity_name = f'"{entity_name.upper()}"' try: await self.entities_vdb.delete_entity(entity_name) await self.relationships_vdb.delete_relation(entity_name) await self.chunk_entity_relation_graph.delete_node(entity_name) - logger.info(f"Entity '{entity_name}' and its relationships have been deleted.") + logger.info( + f"Entity '{entity_name}' and its relationships have been deleted." + ) await self._delete_by_entity_done() except Exception as e: logger.error(f"Error while deleting entity '{entity_name}': {e}") - + async def _delete_by_entity_done(self): tasks = [] for storage_inst in [ @@ -355,4 +357,4 @@ async def _delete_by_entity_done(self): if storage_inst is None: continue tasks.append(cast(StorageNameSpace, storage_inst).index_done_callback()) - await asyncio.gather(*tasks) \ No newline at end of file + await asyncio.gather(*tasks) diff --git a/lightrag/storage.py b/lightrag/storage.py index 080562df..9a4c3d4c 100644 --- a/lightrag/storage.py +++ b/lightrag/storage.py @@ -8,8 +8,8 @@ from nano_vectordb import NanoVectorDB from .utils import ( - logger, - load_json, + logger, + load_json, write_json, compute_mdhash_id, ) @@ -116,7 +116,7 @@ async def query(self, query: str, top_k=5): {**dp, "id": dp["__id__"], "distance": dp["__metrics__"]} for dp in results ] return results - + @property def client_storage(self): return getattr(self._client, "_NanoVectorDB__storage") @@ -124,7 +124,7 @@ def client_storage(self): async def delete_entity(self, entity_name: str): try: entity_id = [compute_mdhash_id(entity_name, prefix="ent-")] - + if self._client.get(entity_id): self._client.delete(entity_id) logger.info(f"Entity {entity_name} have been deleted.") @@ -132,21 +132,27 @@ async def delete_entity(self, entity_name: str): logger.info(f"No entity found with name {entity_name}.") except Exception as e: logger.error(f"Error while deleting entity {entity_name}: {e}") - + async def delete_relation(self, entity_name: str): try: relations = [ - dp for dp in self.client_storage["data"] if dp["src_id"] == entity_name or dp["tgt_id"] == entity_name + dp + for dp in self.client_storage["data"] + if dp["src_id"] == entity_name or dp["tgt_id"] == entity_name ] ids_to_delete = [relation["__id__"] for relation in relations] if ids_to_delete: self._client.delete(ids_to_delete) - logger.info(f"All relations related to entity {entity_name} have been deleted.") + logger.info( + f"All relations related to entity {entity_name} have been deleted." + ) else: logger.info(f"No relations found for entity {entity_name}.") except Exception as e: - logger.error(f"Error while deleting relations for entity {entity_name}: {e}") + logger.error( + f"Error while deleting relations for entity {entity_name}: {e}" + ) async def index_done_callback(self): self._client.save() @@ -268,7 +274,7 @@ async def upsert_edge( async def delete_node(self, node_id: str): """ Delete a node from the graph based on the specified node_id. - + :param node_id: The node_id to delete """ if self._graph.has_node(node_id): From c3ffce47295b358354929a82954128293107352f Mon Sep 17 00:00:00 2001 From: zrguo <49157727+LarFii@users.noreply.github.com> Date: Tue, 12 Nov 2024 07:51:21 +0800 Subject: [PATCH 175/258] Update Discord link --- README.md | 2 +- 1 file changed, 1 insertion(+), 1 deletion(-) diff --git a/README.md b/README.md index d32458a8..1e970c8c 100644 --- a/README.md +++ b/README.md @@ -8,7 +8,7 @@ - +

From f9aad447458120bbec6db09543095cc23ed731da Mon Sep 17 00:00:00 2001 From: =?UTF-8?q?=E2=9C=A8Data=20Intelligence=20Lab=40HKU=E2=9C=A8?= <118165258+HKUDS@users.noreply.github.com> Date: Tue, 12 Nov 2024 10:56:00 +0800 Subject: [PATCH 176/258] Update README.md --- README.md | 4 ++-- 1 file changed, 2 insertions(+), 2 deletions(-) diff --git a/README.md b/README.md index 1e970c8c..1c2150f4 100644 --- a/README.md +++ b/README.md @@ -23,8 +23,8 @@ This repository hosts the code of LightRAG. The structure of this code is based ## 🎉 News - [x] [2024.11.11]🎯📢LightRAG now supports [deleting entities by their names](https://github.com/HKUDS/LightRAG?tab=readme-ov-file#delete-entity). -- [x] [2024.11.09]🎯📢Now comes [LightRAG Gui](https://lightrag-gui.streamlit.app) that lets you insert, query, visualize, and download LightRAG knowledge. -- [x] [2024.11.04]🎯📢You can [use Neo4J for Storage](https://github.com/HKUDS/LightRAG?tab=readme-ov-file#using-neo4j-for-storage) now. +- [x] [2024.11.09]🎯📢Introducing the [LightRAG Gui](https://lightrag-gui.streamlit.app), which allows you to insert, query, visualize, and download LightRAG knowledge. +- [x] [2024.11.04]🎯📢You can now [use Neo4J for Storage](https://github.com/HKUDS/LightRAG?tab=readme-ov-file#using-neo4j-for-storage). - [x] [2024.10.29]🎯📢LightRAG now supports multiple file types, including PDF, DOC, PPT, and CSV via `textract`. - [x] [2024.10.20]🎯📢We’ve added a new feature to LightRAG: Graph Visualization. - [x] [2024.10.18]🎯📢We’ve added a link to a [LightRAG Introduction Video](https://youtu.be/oageL-1I0GE). Thanks to the author! From d6443326c1da464e53fd47dcbd9a49936987e82f Mon Sep 17 00:00:00 2001 From: jin <52519003+jin38324@users.noreply.github.com> Date: Tue, 12 Nov 2024 11:19:34 +0800 Subject: [PATCH 177/258] add oracle support --- examples/lightrag_api_oracle_demo..py | 11 ++++++++--- examples/lightrag_oracle_demo.py | 10 +++------- 2 files changed, 11 insertions(+), 10 deletions(-) diff --git a/examples/lightrag_api_oracle_demo..py b/examples/lightrag_api_oracle_demo..py index 8346b66c..d63b4588 100644 --- a/examples/lightrag_api_oracle_demo..py +++ b/examples/lightrag_api_oracle_demo..py @@ -5,10 +5,7 @@ from typing import Optional import sys, os -print(os.getcwd()) from pathlib import Path -script_directory = Path(__file__).resolve().parent.parent -sys.path.append(os.path.abspath(script_directory)) import asyncio import nest_asyncio @@ -21,6 +18,14 @@ from lightrag.kg.oracle_impl import OracleDB +print(os.getcwd()) + +script_directory = Path(__file__).resolve().parent.parent +sys.path.append(os.path.abspath(script_directory)) + + + + # Apply nest_asyncio to solve event loop issues nest_asyncio.apply() diff --git a/examples/lightrag_oracle_demo.py b/examples/lightrag_oracle_demo.py index 166f2b9a..3e196400 100644 --- a/examples/lightrag_oracle_demo.py +++ b/examples/lightrag_oracle_demo.py @@ -1,20 +1,16 @@ - - import sys, os -print(os.getcwd()) from pathlib import Path -script_directory = Path(__file__).resolve().parent.parent -sys.path.append(os.path.abspath(script_directory)) - import asyncio from lightrag import LightRAG, QueryParam from lightrag.llm import openai_complete_if_cache, openai_embedding from lightrag.utils import EmbeddingFunc import numpy as np from datetime import datetime - from lightrag.kg.oracle_impl import OracleDB +print(os.getcwd()) +script_directory = Path(__file__).resolve().parent.parent +sys.path.append(os.path.abspath(script_directory)) WORKING_DIR = "./dickens" From 77123be2a165f5ec39f84575b5b487ad0ef6c979 Mon Sep 17 00:00:00 2001 From: jin <52519003+jin38324@users.noreply.github.com> Date: Tue, 12 Nov 2024 12:02:24 +0800 Subject: [PATCH 178/258] Update oracle_impl.py --- lightrag/kg/oracle_impl.py | 73 -------------------------------------- 1 file changed, 73 deletions(-) diff --git a/lightrag/kg/oracle_impl.py b/lightrag/kg/oracle_impl.py index 7340ad7d..2de4526c 100644 --- a/lightrag/kg/oracle_impl.py +++ b/lightrag/kg/oracle_impl.py @@ -502,79 +502,6 @@ async def get_node_edges(self, source_node_id: str): else: #print("Node Edge not exist!",self.db.workspace, source_node_id) return [] - - #################### INSERT method ################ - async def upsert_node(self, node_id: str, node_data: dict[str, str]): - """插入或更新节点""" - #print("go into upsert node method") - entity_name = node_id - entity_type = node_data["entity_type"] - description = node_data["description"] - source_id = node_data["source_id"] - content = entity_name+description - contents = [content] - batches = [ - contents[i: i + self._max_batch_size] - for i in range(0, len(contents), self._max_batch_size) - ] - embeddings_list = await asyncio.gather( - *[self.embedding_func(batch) for batch in batches] - ) - embeddings = np.concatenate(embeddings_list) - content_vector = embeddings[0] - merge_sql = SQL_TEMPLATES["merge_node"].format( - workspace=self.db.workspace,name=entity_name, source_chunk_id=source_id - ) - #print(merge_sql) - await self.db.execute(merge_sql, [self.db.workspace,entity_name,entity_type,description,source_id,content,content_vector]) - #self._graph.add_node(node_id, **node_data) - - async def upsert_edge( - self, source_node_id: str, target_node_id: str, edge_data: dict[str, str] - ): - """插入或更新边""" - #print("go into upsert edge method") - source_name = source_node_id - target_name = target_node_id - weight = edge_data["weight"] - keywords = edge_data["keywords"] - description = edge_data["description"] - source_chunk_id = edge_data["source_id"] - content = keywords+source_name+target_name+description - contents = [content] - batches = [ - contents[i: i + self._max_batch_size] - for i in range(0, len(contents), self._max_batch_size) - ] - embeddings_list = await asyncio.gather( - *[self.embedding_func(batch) for batch in batches] - ) - embeddings = np.concatenate(embeddings_list) - content_vector = embeddings[0] - merge_sql = SQL_TEMPLATES["merge_edge"].format( - workspace=self.db.workspace,source_name=source_name, target_name=target_name, source_chunk_id=source_chunk_id - ) - #print(merge_sql) - await self.db.execute(merge_sql, [self.db.workspace,source_name,target_name,weight,keywords,description,source_chunk_id,content,content_vector]) - #self._graph.add_edge(source_node_id, target_node_id, **edge_data) - - async def embed_nodes(self, algorithm: str) -> tuple[np.ndarray, list[str]]: - """为节点生成向量""" - if algorithm not in self._node_embed_algorithms: - raise ValueError(f"Node embedding algorithm {algorithm} not supported") - return await self._node_embed_algorithms[algorithm]() - - async def _node2vec_embed(self): - """为节点生成向量""" - from graspologic import embed - - embeddings, nodes = embed.node2vec_embed( - self._graph, - **self.config["node2vec_params"], - ) - - nodes_ids = [self._graph.nodes[node_id]["id"] for node_id in nodes] - return embeddings, nodes_ids N_T = { From f4ee85034fa85d45ab6277a8fbcd2e1db9ffbd1d Mon Sep 17 00:00:00 2001 From: jin <52519003+jin38324@users.noreply.github.com> Date: Tue, 12 Nov 2024 13:03:03 +0800 Subject: [PATCH 179/258] Update oracle_impl.py --- lightrag/kg/oracle_impl.py | 22 ---------------------- 1 file changed, 22 deletions(-) diff --git a/lightrag/kg/oracle_impl.py b/lightrag/kg/oracle_impl.py index 2de4526c..e40f60c8 100644 --- a/lightrag/kg/oracle_impl.py +++ b/lightrag/kg/oracle_impl.py @@ -306,28 +306,6 @@ async def query(self, query: str, top_k=5) -> Union[dict, list[dict]]: @dataclass class OracleGraphStorage(BaseGraphStorage): """基于Oracle的图存储模块""" - # @staticmethod - # def load_graph(file_name) -> nx.Graph: - # """读取graphhml图文件""" - - # @staticmethod - # def write_graph(graph: nx.Graph, file_name): - # # """写入graphhml图文件""" - - # @staticmethod - # def stable_largest_connected_component(graph: nx.Graph) -> nx.Graph: - # """Refer to https://github.com/microsoft/graphrag/index/graph/utils/stable_lcc.py - # Return the largest connected component of the graph, with nodes and edges sorted in a stable way. - # 用于产生稳定的最大连通分量的模块，即相同的输入图==相同的输出lcc。 - # """ - - - # @staticmethod - # def _stabilize_graph(graph: nx.Graph) -> nx.Graph: - # """Refer to https://github.com/microsoft/graphrag/index/graph/utils/stable_lcc.py - # Ensure an undirected graph with the same relationships will always be read the same way. - # 确保具有相同关系的无向图始终以相同的方式读取。 - # """ def __post_init__(self): """从graphml文件加载图""" From cc45d802a62f8f36a7fb6ed840efba6609b10144 Mon Sep 17 00:00:00 2001 From: jin <52519003+jin38324@users.noreply.github.com> Date: Tue, 12 Nov 2024 13:23:03 +0800 Subject: [PATCH 180/258] Update oracle_impl.py --- lightrag/kg/oracle_impl.py | 2 +- 1 file changed, 1 insertion(+), 1 deletion(-) diff --git a/lightrag/kg/oracle_impl.py b/lightrag/kg/oracle_impl.py index e40f60c8..e0671a71 100644 --- a/lightrag/kg/oracle_impl.py +++ b/lightrag/kg/oracle_impl.py @@ -680,4 +680,4 @@ async def get_node_edges(self, source_node_id: str): WHEN NOT MATCHED THEN INSERT(workspace,source_name,target_name,weight,keywords,description,source_chunk_id,content,content_vector) values (:1,:2,:3,:4,:5,:6,:7,:8,:9) """ - } + } \ No newline at end of file From 41599897fbc4271ba781826dfdaa34f93b0452d8 Mon Sep 17 00:00:00 2001 From: jin <52519003+jin38324@users.noreply.github.com> Date: Tue, 12 Nov 2024 13:32:40 +0800 Subject: [PATCH 181/258] fix pre commit --- examples/lightrag_api_oracle_demo..py | 79 ++--- examples/lightrag_oracle_demo.py | 49 +-- lightrag/base.py | 2 + lightrag/kg/oracle_impl.py | 449 +++++++++++++------------- lightrag/lightrag.py | 52 +-- lightrag/operate.py | 2 +- requirements.txt | 24 +- 7 files changed, 346 insertions(+), 311 deletions(-) diff --git a/examples/lightrag_api_oracle_demo..py b/examples/lightrag_api_oracle_demo..py index d63b4588..3bfae452 100644 --- a/examples/lightrag_api_oracle_demo..py +++ b/examples/lightrag_api_oracle_demo..py @@ -1,10 +1,10 @@ - from fastapi import FastAPI, HTTPException, File, UploadFile from contextlib import asynccontextmanager from pydantic import BaseModel from typing import Optional -import sys, os +import sys +import os from pathlib import Path import asyncio @@ -13,7 +13,6 @@ from lightrag.llm import openai_complete_if_cache, openai_embedding from lightrag.utils import EmbeddingFunc import numpy as np -from datetime import datetime from lightrag.kg.oracle_impl import OracleDB @@ -24,8 +23,6 @@ sys.path.append(os.path.abspath(script_directory)) - - # Apply nest_asyncio to solve event loop issues nest_asyncio.apply() @@ -51,6 +48,7 @@ if not os.path.exists(WORKING_DIR): os.mkdir(WORKING_DIR) + async def llm_model_func( prompt, system_prompt=None, history_messages=[], **kwargs ) -> str: @@ -80,8 +78,8 @@ async def get_embedding_dim(): embedding_dim = embedding.shape[1] return embedding_dim + async def init(): - # Detect embedding dimension embedding_dimension = await get_embedding_dim() print(f"Detected embedding dimension: {embedding_dimension}") @@ -91,36 +89,36 @@ async def init(): # We storage data in unified tables, so we need to set a `workspace` parameter to specify which docs we want to store and query # Below is an example of how to connect to Oracle Autonomous Database on Oracle Cloud + oracle_db = OracleDB( + config={ + "user": "", + "password": "", + "dsn": "", + "config_dir": "", + "wallet_location": "", + "wallet_password": "", + "workspace": "", + } # specify which docs you want to store and query + ) - oracle_db = OracleDB(config={ - "user":"", - "password":"", - "dsn":"", - "config_dir":"", - "wallet_location":"", - "wallet_password":"", - "workspace":"" - } # specify which docs you want to store and query - ) - # Check if Oracle DB tables exist, if not, tables will be created await oracle_db.check_tables() # Initialize LightRAG - # We use Oracle DB as the KV/vector/graph storage + # We use Oracle DB as the KV/vector/graph storage rag = LightRAG( - enable_llm_cache=False, - working_dir=WORKING_DIR, - chunk_token_size=512, - llm_model_func=llm_model_func, - embedding_func=EmbeddingFunc( - embedding_dim=embedding_dimension, - max_token_size=512, - func=embedding_func, - ), - graph_storage = "OracleGraphStorage", - kv_storage="OracleKVStorage", - vector_storage="OracleVectorDBStorage" - ) + enable_llm_cache=False, + working_dir=WORKING_DIR, + chunk_token_size=512, + llm_model_func=llm_model_func, + embedding_func=EmbeddingFunc( + embedding_dim=embedding_dimension, + max_token_size=512, + func=embedding_func, + ), + graph_storage="OracleGraphStorage", + kv_storage="OracleKVStorage", + vector_storage="OracleVectorDBStorage", + ) # Setthe KV/vector/graph storage's `db` property, so all operation will use same connection pool rag.graph_storage_cls.db = oracle_db @@ -129,6 +127,7 @@ async def init(): return rag + # Data models @@ -152,6 +151,7 @@ class Response(BaseModel): rag = None # 定义为全局对象 + @asynccontextmanager async def lifespan(app: FastAPI): global rag @@ -160,18 +160,21 @@ async def lifespan(app: FastAPI): yield -app = FastAPI(title="LightRAG API", description="API for RAG operations",lifespan=lifespan) +app = FastAPI( + title="LightRAG API", description="API for RAG operations", lifespan=lifespan +) + @app.post("/query", response_model=Response) async def query_endpoint(request: QueryRequest): try: # loop = asyncio.get_event_loop() result = await rag.aquery( - request.query, - param=QueryParam( - mode=request.mode, only_need_context=request.only_need_context - ), - ) + request.query, + param=QueryParam( + mode=request.mode, only_need_context=request.only_need_context + ), + ) return Response(status="success", data=result) except Exception as e: raise HTTPException(status_code=500, detail=str(e)) @@ -234,4 +237,4 @@ async def health_check(): # curl -X POST "http://127.0.0.1:8020/insert_file" -H "Content-Type: application/json" -d '{"file_path": "path/to/your/file.txt"}' # 4. Health check: -# curl -X GET "http://127.0.0.1:8020/health" \ No newline at end of file +# curl -X GET "http://127.0.0.1:8020/health" diff --git a/examples/lightrag_oracle_demo.py b/examples/lightrag_oracle_demo.py index 3e196400..365b6225 100644 --- a/examples/lightrag_oracle_demo.py +++ b/examples/lightrag_oracle_demo.py @@ -1,11 +1,11 @@ -import sys, os +import sys +import os from pathlib import Path import asyncio from lightrag import LightRAG, QueryParam from lightrag.llm import openai_complete_if_cache, openai_embedding from lightrag.utils import EmbeddingFunc import numpy as np -from datetime import datetime from lightrag.kg.oracle_impl import OracleDB print(os.getcwd()) @@ -25,6 +25,7 @@ if not os.path.exists(WORKING_DIR): os.mkdir(WORKING_DIR) + async def llm_model_func( prompt, system_prompt=None, history_messages=[], **kwargs ) -> str: @@ -66,22 +67,21 @@ async def main(): # More docs here https://python-oracledb.readthedocs.io/en/latest/user_guide/connection_handling.html # We storage data in unified tables, so we need to set a `workspace` parameter to specify which docs we want to store and query # Below is an example of how to connect to Oracle Autonomous Database on Oracle Cloud - oracle_db = OracleDB(config={ - "user":"username", - "password":"xxxxxxxxx", - "dsn":"xxxxxxx_medium", - "config_dir":"dir/path/to/oracle/config", - "wallet_location":"dir/path/to/oracle/wallet", - "wallet_password":"xxxxxxxxx", - "workspace":"company" # specify which docs you want to store and query + oracle_db = OracleDB( + config={ + "user": "username", + "password": "xxxxxxxxx", + "dsn": "xxxxxxx_medium", + "config_dir": "dir/path/to/oracle/config", + "wallet_location": "dir/path/to/oracle/wallet", + "wallet_password": "xxxxxxxxx", + "workspace": "company", # specify which docs you want to store and query } - ) - + ) # Check if Oracle DB tables exist, if not, tables will be created await oracle_db.check_tables() - # Initialize LightRAG # We use Oracle DB as the KV/vector/graph storage rag = LightRAG( @@ -93,10 +93,10 @@ async def main(): embedding_dim=embedding_dimension, max_token_size=512, func=embedding_func, - ), - graph_storage = "OracleGraphStorage", - kv_storage="OracleKVStorage", - vector_storage="OracleVectorDBStorage" + ), + graph_storage="OracleGraphStorage", + kv_storage="OracleKVStorage", + vector_storage="OracleVectorDBStorage", ) # Setthe KV/vector/graph storage's `db` property, so all operation will use same connection pool @@ -106,18 +106,23 @@ async def main(): # Extract and Insert into LightRAG storage with open("./dickens/demo.txt", "r", encoding="utf-8") as f: - await rag.ainsert(f.read()) + await rag.ainsert(f.read()) # Perform search in different modes modes = ["naive", "local", "global", "hybrid"] for mode in modes: - print("="*20, mode, "="*20) - print(await rag.aquery("What are the top themes in this story?", param=QueryParam(mode=mode))) - print("-"*100, "\n") + print("=" * 20, mode, "=" * 20) + print( + await rag.aquery( + "What are the top themes in this story?", + param=QueryParam(mode=mode), + ) + ) + print("-" * 100, "\n") except Exception as e: print(f"An error occurred: {e}") if __name__ == "__main__": - asyncio.run(main()) \ No newline at end of file + asyncio.run(main()) diff --git a/lightrag/base.py b/lightrag/base.py index 379efeb3..46dfc800 100644 --- a/lightrag/base.py +++ b/lightrag/base.py @@ -60,6 +60,7 @@ async def upsert(self, data: dict[str, dict]): @dataclass class BaseKVStorage(Generic[T], StorageNameSpace): embedding_func: EmbeddingFunc + async def all_keys(self) -> list[str]: raise NotImplementedError @@ -85,6 +86,7 @@ async def drop(self): @dataclass class BaseGraphStorage(StorageNameSpace): embedding_func: EmbeddingFunc = None + async def has_node(self, node_id: str) -> bool: raise NotImplementedError diff --git a/lightrag/kg/oracle_impl.py b/lightrag/kg/oracle_impl.py index e0671a71..96a9e795 100644 --- a/lightrag/kg/oracle_impl.py +++ b/lightrag/kg/oracle_impl.py @@ -1,9 +1,9 @@ import asyncio -#import html -#import os + +# import html +# import os from dataclasses import dataclass -from typing import Any, Union, cast -import networkx as nx +from typing import Union import numpy as np import array @@ -16,8 +16,9 @@ import oracledb + class OracleDB: - def __init__(self,config,**kwargs): + def __init__(self, config, **kwargs): self.host = config.get("host", None) self.port = config.get("port", None) self.user = config.get("user", None) @@ -32,21 +33,21 @@ def __init__(self,config,**kwargs): logger.info(f"Using the label {self.workspace} for Oracle Graph as identifier") if self.user is None or self.password is None: raise ValueError("Missing database user or password in addon_params") - + try: oracledb.defaults.fetch_lobs = False self.pool = oracledb.create_pool_async( - user = self.user, - password = self.password, - dsn = self.dsn, - config_dir = self.config_dir, - wallet_location = self.wallet_location, - wallet_password = self.wallet_password, - min = 1, - max = self.max, - increment = self.increment - ) + user=self.user, + password=self.password, + dsn=self.dsn, + config_dir=self.config_dir, + wallet_location=self.wallet_location, + wallet_password=self.wallet_password, + min=1, + max=self.max, + increment=self.increment, + ) logger.info(f"Connected to Oracle database at {self.dsn}") except Exception as e: logger.error(f"Failed to connect to Oracle database at {self.dsn}") @@ -90,12 +91,14 @@ def output_type_handler(self, cursor, metadata): arraysize=cursor.arraysize, outconverter=self.numpy_converter_out, ) - + async def check_tables(self): - for k,v in TABLES.items(): + for k, v in TABLES.items(): try: if k.lower() == "lightrag_graph": - await self.query("SELECT id FROM GRAPH_TABLE (lightrag_graph MATCH (a) COLUMNS (a.id)) fetch first row only") + await self.query( + "SELECT id FROM GRAPH_TABLE (lightrag_graph MATCH (a) COLUMNS (a.id)) fetch first row only" + ) else: await self.query("SELECT 1 FROM {k}".format(k=k)) except Exception as e: @@ -108,12 +111,11 @@ async def check_tables(self): except Exception as e: logger.error(f"Failed to create table {k} in Oracle database") logger.error(f"Oracle database error: {e}") - - logger.info(f"Finished check all tables in Oracle database") - - - async def query(self,sql: str, multirows: bool = False) -> Union[dict, None]: - async with self.pool.acquire() as connection: + + logger.info("Finished check all tables in Oracle database") + + async def query(self, sql: str, multirows: bool = False) -> Union[dict, None]: + async with self.pool.acquire() as connection: connection.inputtypehandler = self.input_type_handler connection.outputtypehandler = self.output_type_handler with connection.cursor() as cursor: @@ -136,9 +138,9 @@ async def query(self,sql: str, multirows: bool = False) -> Union[dict, None]: data = dict(zip(columns, row)) else: data = None - return data + return data - async def execute(self,sql: str, data: list = None): + async def execute(self, sql: str, data: list = None): # logger.info("go into OracleDB execute method") try: async with self.pool.acquire() as connection: @@ -148,58 +150,63 @@ async def execute(self,sql: str, data: list = None): if data is None: await cursor.execute(sql) else: - #print(data) - #print(sql) - await cursor.execute(sql,data) + # print(data) + # print(sql) + await cursor.execute(sql, data) await connection.commit() except Exception as e: - logger.error(f"Oracle database error: {e}") + logger.error(f"Oracle database error: {e}") print(sql) print(data) raise + @dataclass class OracleKVStorage(BaseKVStorage): - # should pass db object to self.db def __post_init__(self): self._data = {} - self._max_batch_size = self.global_config["embedding_batch_num"] - + self._max_batch_size = self.global_config["embedding_batch_num"] + ################ QUERY METHODS ################ async def get_by_id(self, id: str) -> Union[dict, None]: """根据 id 获取 doc_full 数据.""" - SQL = SQL_TEMPLATES["get_by_id_"+self.namespace].format(workspace=self.db.workspace,id=id) - #print("get_by_id:"+SQL) - res = await self.db.query(SQL) + SQL = SQL_TEMPLATES["get_by_id_" + self.namespace].format( + workspace=self.db.workspace, id=id + ) + # print("get_by_id:"+SQL) + res = await self.db.query(SQL) if res: - data = res #{"data":res} - #print (data) + data = res # {"data":res} + # print (data) return data else: return None # Query by id - async def get_by_ids(self, ids: list[str], fields=None) -> Union[list[dict],None]: + async def get_by_ids(self, ids: list[str], fields=None) -> Union[list[dict], None]: """根据 id 获取 doc_chunks 数据""" - SQL = SQL_TEMPLATES["get_by_ids_"+self.namespace].format(workspace=self.db.workspace, - ids=",".join([f"'{id}'" for id in ids])) - #print("get_by_ids:"+SQL) - res = await self.db.query(SQL,multirows=True) + SQL = SQL_TEMPLATES["get_by_ids_" + self.namespace].format( + workspace=self.db.workspace, ids=",".join([f"'{id}'" for id in ids]) + ) + # print("get_by_ids:"+SQL) + res = await self.db.query(SQL, multirows=True) if res: - data = res # [{"data":i} for i in res] - #print(data) + data = res # [{"data":i} for i in res] + # print(data) return data else: return None - + async def filter_keys(self, keys: list[str]) -> set[str]: """过滤掉重复内容""" - SQL = SQL_TEMPLATES["filter_keys"].format(table_name=N_T[self.namespace], - workspace=self.db.workspace, - ids=",".join([f"'{k}'" for k in keys])) - res = await self.db.query(SQL,multirows=True) + SQL = SQL_TEMPLATES["filter_keys"].format( + table_name=N_T[self.namespace], + workspace=self.db.workspace, + ids=",".join([f"'{k}'" for k in keys]), + ) + res = await self.db.query(SQL, multirows=True) data = None if res: exist_keys = [key["id"] for key in res] @@ -208,14 +215,13 @@ async def filter_keys(self, keys: list[str]) -> set[str]: exist_keys = [] data = set([s for s in keys if s not in exist_keys]) return data - - + ################ INSERT METHODS ################ async def upsert(self, data: dict[str, dict]): left_data = {k: v for k, v in data.items() if k not in self._data} self._data.update(left_data) - #print(self._data) - #values = [] + # print(self._data) + # values = [] if self.namespace == "text_chunks": list_data = [ { @@ -226,7 +232,7 @@ async def upsert(self, data: dict[str, dict]): ] contents = [v["content"] for v in data.values()] batches = [ - contents[i: i + self._max_batch_size] + contents[i : i + self._max_batch_size] for i in range(0, len(contents), self._max_batch_size) ] embeddings_list = await asyncio.gather( @@ -235,42 +241,45 @@ async def upsert(self, data: dict[str, dict]): embeddings = np.concatenate(embeddings_list) for i, d in enumerate(list_data): d["__vector__"] = embeddings[i] - #print(list_data) + # print(list_data) for item in list_data: - merge_sql = SQL_TEMPLATES["merge_chunk"].format( - check_id=item["__id__"] - ) - - values = [item["__id__"], item["content"], self.db.workspace, item["tokens"], - item["chunk_order_index"], item["full_doc_id"], item["__vector__"]] - #print(merge_sql) + merge_sql = SQL_TEMPLATES["merge_chunk"].format(check_id=item["__id__"]) + + values = [ + item["__id__"], + item["content"], + self.db.workspace, + item["tokens"], + item["chunk_order_index"], + item["full_doc_id"], + item["__vector__"], + ] + # print(merge_sql) await self.db.execute(merge_sql, values) if self.namespace == "full_docs": for k, v in self._data.items(): - #values.clear() + # values.clear() merge_sql = SQL_TEMPLATES["merge_doc_full"].format( check_id=k, ) values = [k, self._data[k]["content"], self.db.workspace] - #print(merge_sql) + # print(merge_sql) await self.db.execute(merge_sql, values) return left_data - async def index_done_callback(self): if self.namespace in ["full_docs", "text_chunks"]: logger.info("full doc and chunk data had been saved into oracle db!") - @dataclass class OracleVectorDBStorage(BaseVectorStorage): cosine_better_than_threshold: float = 0.2 def __post_init__(self): pass - + async def upsert(self, data: dict[str, dict]): """向向量数据库中插入数据""" pass @@ -278,53 +287,51 @@ async def upsert(self, data: dict[str, dict]): async def index_done_callback(self): pass - #################### query method ############### async def query(self, query: str, top_k=5) -> Union[dict, list[dict]]: - """从向量数据库中查询数据""" + """从向量数据库中查询数据""" embeddings = await self.embedding_func([query]) embedding = embeddings[0] # 转换精度 dtype = str(embedding.dtype).upper() dimension = embedding.shape[0] - embedding_string = ', '.join(map(str, embedding.tolist())) + embedding_string = ", ".join(map(str, embedding.tolist())) SQL = SQL_TEMPLATES[self.namespace].format( - embedding_string=embedding_string, - dimension=dimension, - dtype=dtype, - workspace=self.db.workspace, - top_k=top_k, - better_than_threshold=self.cosine_better_than_threshold, - ) + embedding_string=embedding_string, + dimension=dimension, + dtype=dtype, + workspace=self.db.workspace, + top_k=top_k, + better_than_threshold=self.cosine_better_than_threshold, + ) # print(SQL) results = await self.db.query(SQL, multirows=True) - #print("vector search result:",results) + # print("vector search result:",results) return results @dataclass -class OracleGraphStorage(BaseGraphStorage): +class OracleGraphStorage(BaseGraphStorage): """基于Oracle的图存储模块""" - + def __post_init__(self): """从graphml文件加载图""" self._max_batch_size = self.global_config["embedding_batch_num"] - #################### insert method ################ - + async def upsert_node(self, node_id: str, node_data: dict[str, str]): """插入或更新节点""" - #print("go into upsert node method") + # print("go into upsert node method") entity_name = node_id entity_type = node_data["entity_type"] description = node_data["description"] - source_id = node_data["source_id"] - content = entity_name+description + source_id = node_data["source_id"] + content = entity_name + description contents = [content] batches = [ - contents[i: i + self._max_batch_size] + contents[i : i + self._max_batch_size] for i in range(0, len(contents), self._max_batch_size) ] embeddings_list = await asyncio.gather( @@ -333,27 +340,38 @@ async def upsert_node(self, node_id: str, node_data: dict[str, str]): embeddings = np.concatenate(embeddings_list) content_vector = embeddings[0] merge_sql = SQL_TEMPLATES["merge_node"].format( - workspace=self.db.workspace,name=entity_name, source_chunk_id=source_id + workspace=self.db.workspace, name=entity_name, source_chunk_id=source_id + ) + # print(merge_sql) + await self.db.execute( + merge_sql, + [ + self.db.workspace, + entity_name, + entity_type, + description, + source_id, + content, + content_vector, + ], ) - #print(merge_sql) - await self.db.execute(merge_sql, [self.db.workspace,entity_name,entity_type,description,source_id,content,content_vector]) - #self._graph.add_node(node_id, **node_data) + # self._graph.add_node(node_id, **node_data) async def upsert_edge( self, source_node_id: str, target_node_id: str, edge_data: dict[str, str] ): """插入或更新边""" - #print("go into upsert edge method") + # print("go into upsert edge method") source_name = source_node_id target_name = target_node_id weight = edge_data["weight"] keywords = edge_data["keywords"] description = edge_data["description"] source_chunk_id = edge_data["source_id"] - content = keywords+source_name+target_name+description + content = keywords + source_name + target_name + description contents = [content] batches = [ - contents[i: i + self._max_batch_size] + contents[i : i + self._max_batch_size] for i in range(0, len(contents), self._max_batch_size) ] embeddings_list = await asyncio.gather( @@ -362,11 +380,27 @@ async def upsert_edge( embeddings = np.concatenate(embeddings_list) content_vector = embeddings[0] merge_sql = SQL_TEMPLATES["merge_edge"].format( - workspace=self.db.workspace,source_name=source_name, target_name=target_name, source_chunk_id=source_chunk_id + workspace=self.db.workspace, + source_name=source_name, + target_name=target_name, + source_chunk_id=source_chunk_id, ) - #print(merge_sql) - await self.db.execute(merge_sql, [self.db.workspace,source_name,target_name,weight,keywords,description,source_chunk_id,content,content_vector]) - #self._graph.add_edge(source_node_id, target_node_id, **edge_data) + # print(merge_sql) + await self.db.execute( + merge_sql, + [ + self.db.workspace, + source_name, + target_name, + weight, + keywords, + description, + source_chunk_id, + content, + content_vector, + ], + ) + # self._graph.add_edge(source_node_id, target_node_id, **edge_data) async def embed_nodes(self, algorithm: str) -> tuple[np.ndarray, list[str]]: """为节点生成向量""" @@ -386,99 +420,109 @@ async def _node2vec_embed(self): nodes_ids = [self._graph.nodes[node_id]["id"] for node_id in nodes] return embeddings, nodes_ids - async def index_done_callback(self): """写入graphhml图文件""" - logger.info("Node and edge data had been saved into oracle db already, so nothing to do here!") - + logger.info( + "Node and edge data had been saved into oracle db already, so nothing to do here!" + ) + #################### query method ################# async def has_node(self, node_id: str) -> bool: - """根据节点id检查节点是否存在""" - SQL = SQL_TEMPLATES["has_node"].format(workspace=self.db.workspace, node_id=node_id) - # print(SQL) - #print(self.db.workspace, node_id) + """根据节点id检查节点是否存在""" + SQL = SQL_TEMPLATES["has_node"].format( + workspace=self.db.workspace, node_id=node_id + ) + # print(SQL) + # print(self.db.workspace, node_id) res = await self.db.query(SQL) if res: - #print("Node exist!",res) + # print("Node exist!",res) return True else: - #print("Node not exist!") + # print("Node not exist!") return False async def has_edge(self, source_node_id: str, target_node_id: str) -> bool: """根据源和目标节点id检查边是否存在""" - SQL = SQL_TEMPLATES["has_edge"].format(workspace=self.db.workspace, - source_node_id=source_node_id, - target_node_id=target_node_id) + SQL = SQL_TEMPLATES["has_edge"].format( + workspace=self.db.workspace, + source_node_id=source_node_id, + target_node_id=target_node_id, + ) # print(SQL) res = await self.db.query(SQL) if res: - #print("Edge exist!",res) + # print("Edge exist!",res) return True else: - #print("Edge not exist!") + # print("Edge not exist!") return False async def node_degree(self, node_id: str) -> int: - """根据节点id获取节点的度""" - SQL = SQL_TEMPLATES["node_degree"].format(workspace=self.db.workspace, node_id=node_id) + """根据节点id获取节点的度""" + SQL = SQL_TEMPLATES["node_degree"].format( + workspace=self.db.workspace, node_id=node_id + ) # print(SQL) res = await self.db.query(SQL) if res: - #print("Node degree",res["degree"]) + # print("Node degree",res["degree"]) return res["degree"] else: - #print("Edge not exist!") + # print("Edge not exist!") return 0 - async def edge_degree(self, src_id: str, tgt_id: str) -> int: """根据源和目标节点id获取边的度""" degree = await self.node_degree(src_id) + await self.node_degree(tgt_id) - #print("Edge degree",degree) + # print("Edge degree",degree) return degree - async def get_node(self, node_id: str) -> Union[dict, None]: """根据节点id获取节点数据""" - SQL = SQL_TEMPLATES["get_node"].format(workspace=self.db.workspace, node_id=node_id) + SQL = SQL_TEMPLATES["get_node"].format( + workspace=self.db.workspace, node_id=node_id + ) # print(self.db.workspace, node_id) # print(SQL) res = await self.db.query(SQL) if res: - #print("Get node!",self.db.workspace, node_id,res) + # print("Get node!",self.db.workspace, node_id,res) return res else: - #print("Can't get node!",self.db.workspace, node_id) + # print("Can't get node!",self.db.workspace, node_id) return None - + async def get_edge( self, source_node_id: str, target_node_id: str ) -> Union[dict, None]: """根据源和目标节点id获取边""" - SQL = SQL_TEMPLATES["get_edge"].format(workspace=self.db.workspace, - source_node_id=source_node_id, - target_node_id=target_node_id) + SQL = SQL_TEMPLATES["get_edge"].format( + workspace=self.db.workspace, + source_node_id=source_node_id, + target_node_id=target_node_id, + ) res = await self.db.query(SQL) if res: - #print("Get edge!",self.db.workspace, source_node_id, target_node_id,res[0]) + # print("Get edge!",self.db.workspace, source_node_id, target_node_id,res[0]) return res else: - #print("Edge not exist!",self.db.workspace, source_node_id, target_node_id) + # print("Edge not exist!",self.db.workspace, source_node_id, target_node_id) return None async def get_node_edges(self, source_node_id: str): """根据节点id获取节点的所有边""" if await self.has_node(source_node_id): - SQL = SQL_TEMPLATES["get_node_edges"].format(workspace=self.db.workspace, - source_node_id=source_node_id) + SQL = SQL_TEMPLATES["get_node_edges"].format( + workspace=self.db.workspace, source_node_id=source_node_id + ) res = await self.db.query(sql=SQL, multirows=True) if res: - data = [(i["source_name"],i["target_name"]) for i in res] - #print("Get node edge!",self.db.workspace, source_node_id,data) + data = [(i["source_name"], i["target_name"]) for i in res] + # print("Get node edge!",self.db.workspace, source_node_id,data) return data else: - #print("Node Edge not exist!",self.db.workspace, source_node_id) + # print("Node Edge not exist!",self.db.workspace, source_node_id) return [] @@ -487,12 +531,12 @@ async def get_node_edges(self, source_node_id: str): "text_chunks": "LIGHTRAG_DOC_CHUNKS", "chunks": "LIGHTRAG_DOC_CHUNKS", "entities": "LIGHTRAG_GRAPH_NODES", - "relationships": "LIGHTRAG_GRAPH_EDGES" + "relationships": "LIGHTRAG_GRAPH_EDGES", } TABLES = { - "LIGHTRAG_DOC_FULL": - {"ddl":"""CREATE TABLE LIGHTRAG_DOC_FULL ( + "LIGHTRAG_DOC_FULL": { + "ddl": """CREATE TABLE LIGHTRAG_DOC_FULL ( id varchar(256)PRIMARY KEY, workspace varchar(1024), doc_name varchar(1024), @@ -500,61 +544,63 @@ async def get_node_edges(self, source_node_id: str): meta JSON, createtime TIMESTAMP DEFAULT CURRENT_TIMESTAMP, updatetime TIMESTAMP DEFAULT NULL - )"""}, - - "LIGHTRAG_DOC_CHUNKS": - {"ddl":"""CREATE TABLE LIGHTRAG_DOC_CHUNKS ( + )""" + }, + "LIGHTRAG_DOC_CHUNKS": { + "ddl": """CREATE TABLE LIGHTRAG_DOC_CHUNKS ( id varchar(256) PRIMARY KEY, workspace varchar(1024), full_doc_id varchar(256), chunk_order_index NUMBER, - tokens NUMBER, + tokens NUMBER, content CLOB, content_vector VECTOR, createtime TIMESTAMP DEFAULT CURRENT_TIMESTAMP, - updatetime TIMESTAMP DEFAULT NULL - )"""}, - - "LIGHTRAG_GRAPH_NODES": - {"ddl":"""CREATE TABLE LIGHTRAG_GRAPH_NODES ( + updatetime TIMESTAMP DEFAULT NULL + )""" + }, + "LIGHTRAG_GRAPH_NODES": { + "ddl": """CREATE TABLE LIGHTRAG_GRAPH_NODES ( id NUMBER GENERATED BY DEFAULT AS IDENTITY PRIMARY KEY, workspace varchar(1024), name varchar(2048), - entity_type varchar(1024), + entity_type varchar(1024), description CLOB, source_chunk_id varchar(256), content CLOB, content_vector VECTOR, createtime TIMESTAMP DEFAULT CURRENT_TIMESTAMP, updatetime TIMESTAMP DEFAULT NULL - )"""}, - "LIGHTRAG_GRAPH_EDGES": - {"ddl":"""CREATE TABLE LIGHTRAG_GRAPH_EDGES ( + )""" + }, + "LIGHTRAG_GRAPH_EDGES": { + "ddl": """CREATE TABLE LIGHTRAG_GRAPH_EDGES ( id NUMBER GENERATED BY DEFAULT AS IDENTITY PRIMARY KEY, workspace varchar(1024), source_name varchar(2048), - target_name varchar(2048), + target_name varchar(2048), weight NUMBER, - keywords CLOB, + keywords CLOB, description CLOB, source_chunk_id varchar(256), content CLOB, content_vector VECTOR, createtime TIMESTAMP DEFAULT CURRENT_TIMESTAMP, updatetime TIMESTAMP DEFAULT NULL - )"""}, - "LIGHTRAG_LLM_CACHE": - {"ddl":"""CREATE TABLE LIGHTRAG_LLM_CACHE ( + )""" + }, + "LIGHTRAG_LLM_CACHE": { + "ddl": """CREATE TABLE LIGHTRAG_LLM_CACHE ( id varchar(256) PRIMARY KEY, send clob, return clob, model varchar(1024), createtime TIMESTAMP DEFAULT CURRENT_TIMESTAMP, updatetime TIMESTAMP DEFAULT NULL - )"""}, - - "LIGHTRAG_GRAPH": - {"ddl":"""CREATE OR REPLACE PROPERTY GRAPH lightrag_graph + )""" + }, + "LIGHTRAG_GRAPH": { + "ddl": """CREATE OR REPLACE PROPERTY GRAPH lightrag_graph VERTEX TABLES ( lightrag_graph_nodes KEY (id) LABEL entity @@ -565,93 +611,67 @@ async def get_node_edges(self, source_node_id: str): SOURCE KEY (source_name) REFERENCES lightrag_graph_nodes(name) DESTINATION KEY (target_name) REFERENCES lightrag_graph_nodes(name) LABEL has_relation - PROPERTIES (id,workspace,source_name,target_name) -- ,weight, keywords,description,source_chunk_id) - ) OPTIONS(ALLOW MIXED PROPERTY TYPES)"""}, - } + PROPERTIES (id,workspace,source_name,target_name) -- ,weight, keywords,description,source_chunk_id) + ) OPTIONS(ALLOW MIXED PROPERTY TYPES)""" + }, +} SQL_TEMPLATES = { # SQL for KVStorage - "get_by_id_full_docs": - "select ID,NVL(content,'') as content from LIGHTRAG_DOC_FULL where workspace='{workspace}' and ID='{id}'", - - "get_by_id_text_chunks": - "select ID,TOKENS,NVL(content,'') as content,CHUNK_ORDER_INDEX,FULL_DOC_ID from LIGHTRAG_DOC_CHUNKS where workspace='{workspace}' and ID='{id}'", - - "get_by_ids_full_docs": - "select ID,NVL(content,'') as content from LIGHTRAG_DOC_FULL where workspace='{workspace}' and ID in ({ids})", - - "get_by_ids_text_chunks": - "select ID,TOKENS,NVL(content,'') as content,CHUNK_ORDER_INDEX,FULL_DOC_ID from LIGHTRAG_DOC_CHUNKS where workspace='{workspace}' and ID in ({ids})", - - "filter_keys": - "select id from {table_name} where workspace='{workspace}' and id in ({ids})", - + "get_by_id_full_docs": "select ID,NVL(content,'') as content from LIGHTRAG_DOC_FULL where workspace='{workspace}' and ID='{id}'", + "get_by_id_text_chunks": "select ID,TOKENS,NVL(content,'') as content,CHUNK_ORDER_INDEX,FULL_DOC_ID from LIGHTRAG_DOC_CHUNKS where workspace='{workspace}' and ID='{id}'", + "get_by_ids_full_docs": "select ID,NVL(content,'') as content from LIGHTRAG_DOC_FULL where workspace='{workspace}' and ID in ({ids})", + "get_by_ids_text_chunks": "select ID,TOKENS,NVL(content,'') as content,CHUNK_ORDER_INDEX,FULL_DOC_ID from LIGHTRAG_DOC_CHUNKS where workspace='{workspace}' and ID in ({ids})", + "filter_keys": "select id from {table_name} where workspace='{workspace}' and id in ({ids})", "merge_doc_full": """ MERGE INTO LIGHTRAG_DOC_FULL a USING DUAL ON (a.id = '{check_id}') WHEN NOT MATCHED THEN INSERT(id,content,workspace) values(:1,:2,:3) """, - "merge_chunk": """MERGE INTO LIGHTRAG_DOC_CHUNKS a USING DUAL ON (a.id = '{check_id}') WHEN NOT MATCHED THEN INSERT(id,content,workspace,tokens,chunk_order_index,full_doc_id,content_vector) values (:1,:2,:3,:4,:5,:6,:7) """, - # SQL for VectorStorage - "entities": - """SELECT name as entity_name FROM - (SELECT id,name,VECTOR_DISTANCE(content_vector,vector('[{embedding_string}]',{dimension},{dtype}),COSINE) as distance - FROM LIGHTRAG_GRAPH_NODES WHERE workspace='{workspace}') + "entities": """SELECT name as entity_name FROM + (SELECT id,name,VECTOR_DISTANCE(content_vector,vector('[{embedding_string}]',{dimension},{dtype}),COSINE) as distance + FROM LIGHTRAG_GRAPH_NODES WHERE workspace='{workspace}') WHERE distance>{better_than_threshold} ORDER BY distance ASC FETCH FIRST {top_k} ROWS ONLY""", - - "relationships": - """SELECT source_name as src_id, target_name as tgt_id FROM - (SELECT id,source_name,target_name,VECTOR_DISTANCE(content_vector,vector('[{embedding_string}]',{dimension},{dtype}),COSINE) as distance - FROM LIGHTRAG_GRAPH_EDGES WHERE workspace='{workspace}') + "relationships": """SELECT source_name as src_id, target_name as tgt_id FROM + (SELECT id,source_name,target_name,VECTOR_DISTANCE(content_vector,vector('[{embedding_string}]',{dimension},{dtype}),COSINE) as distance + FROM LIGHTRAG_GRAPH_EDGES WHERE workspace='{workspace}') WHERE distance>{better_than_threshold} ORDER BY distance ASC FETCH FIRST {top_k} ROWS ONLY""", - - "chunks": - """SELECT id FROM - (SELECT id,VECTOR_DISTANCE(content_vector,vector('[{embedding_string}]',{dimension},{dtype}),COSINE) as distance - FROM LIGHTRAG_DOC_CHUNKS WHERE workspace='{workspace}') + "chunks": """SELECT id FROM + (SELECT id,VECTOR_DISTANCE(content_vector,vector('[{embedding_string}]',{dimension},{dtype}),COSINE) as distance + FROM LIGHTRAG_DOC_CHUNKS WHERE workspace='{workspace}') WHERE distance>{better_than_threshold} ORDER BY distance ASC FETCH FIRST {top_k} ROWS ONLY""", - # SQL for GraphStorage - "has_node": - """SELECT * FROM GRAPH_TABLE (lightrag_graph + "has_node": """SELECT * FROM GRAPH_TABLE (lightrag_graph MATCH (a) WHERE a.workspace='{workspace}' AND a.name='{node_id}' COLUMNS (a.name))""", - - "has_edge": - """SELECT * FROM GRAPH_TABLE (lightrag_graph + "has_edge": """SELECT * FROM GRAPH_TABLE (lightrag_graph MATCH (a) -[e]-> (b) WHERE e.workspace='{workspace}' and a.workspace='{workspace}' and b.workspace='{workspace}' AND a.name='{source_node_id}' AND b.name='{target_node_id}' COLUMNS (e.source_name,e.target_name) )""", - - "node_degree": - """SELECT count(1) as degree FROM GRAPH_TABLE (lightrag_graph + "node_degree": """SELECT count(1) as degree FROM GRAPH_TABLE (lightrag_graph MATCH (a)-[e]->(b) WHERE a.workspace='{workspace}' and a.workspace='{workspace}' and b.workspace='{workspace}' AND a.name='{node_id}' or b.name = '{node_id}' COLUMNS (a.name))""", - - "get_node": - """SELECT t1.name,t2.entity_type,t2.source_chunk_id as source_id,NVL(t2.description,'') AS description + "get_node": """SELECT t1.name,t2.entity_type,t2.source_chunk_id as source_id,NVL(t2.description,'') AS description FROM GRAPH_TABLE (lightrag_graph - MATCH (a) + MATCH (a) WHERE a.workspace='{workspace}' AND a.name='{node_id}' COLUMNS (a.name) ) t1 JOIN LIGHTRAG_GRAPH_NODES t2 on t1.name=t2.name WHERE t2.workspace='{workspace}'""", - - "get_edge": - """SELECT t1.source_id,t2.weight,t2.source_chunk_id as source_id,t2.keywords, + "get_edge": """SELECT t1.source_id,t2.weight,t2.source_chunk_id as source_id,t2.keywords, NVL(t2.description,'') AS description,NVL(t2.KEYWORDS,'') AS keywords FROM GRAPH_TABLE (lightrag_graph MATCH (a)-[e]->(b) @@ -659,15 +679,12 @@ async def get_node_edges(self, source_node_id: str): AND a.name='{source_node_id}' and b.name = '{target_node_id}' COLUMNS (e.id,a.name as source_id) ) t1 JOIN LIGHTRAG_GRAPH_EDGES t2 on t1.id=t2.id""", - - "get_node_edges": - """SELECT source_name,target_name + "get_node_edges": """SELECT source_name,target_name FROM GRAPH_TABLE (lightrag_graph MATCH (a)-[e]->(b) WHERE e.workspace='{workspace}' and a.workspace='{workspace}' and b.workspace='{workspace}' AND a.name='{source_node_id}' COLUMNS (a.name as source_name,b.name as target_name))""", - "merge_node": """MERGE INTO LIGHTRAG_GRAPH_NODES a USING DUAL ON (a.workspace = '{workspace}' and a.name='{name}' and a.source_chunk_id='{source_chunk_id}') @@ -679,5 +696,5 @@ async def get_node_edges(self, source_node_id: str): ON (a.workspace = '{workspace}' and a.source_name='{source_name}' and a.target_name='{target_name}' and a.source_chunk_id='{source_chunk_id}') WHEN NOT MATCHED THEN INSERT(workspace,source_name,target_name,weight,keywords,description,source_chunk_id,content,content_vector) - values (:1,:2,:3,:4,:5,:6,:7,:8,:9) """ - } \ No newline at end of file + values (:1,:2,:3,:4,:5,:6,:7,:8,:9) """, +} diff --git a/lightrag/lightrag.py b/lightrag/lightrag.py index 52786970..50e33405 100644 --- a/lightrag/lightrag.py +++ b/lightrag/lightrag.py @@ -38,15 +38,11 @@ JsonKVStorage, NanoVectorDBStorage, NetworkXStorage, - ) +) from .kg.neo4j_impl import Neo4JStorage -from .kg.oracle_impl import ( - OracleKVStorage, - OracleGraphStorage, - OracleVectorDBStorage - ) +from .kg.oracle_impl import OracleKVStorage, OracleGraphStorage, OracleVectorDBStorage # future KG integrations @@ -54,6 +50,7 @@ # GraphStorage as ArangoDBStorage # ) + def always_get_an_event_loop() -> asyncio.AbstractEventLoop: try: return asyncio.get_event_loop() @@ -72,7 +69,7 @@ class LightRAG: default_factory=lambda: f"./lightrag_cache_{datetime.now().strftime('%Y-%m-%d-%H:%M:%S')}" ) - kv_storage : str = field(default="JsonKVStorage") + kv_storage: str = field(default="JsonKVStorage") vector_storage: str = field(default="NanoVectorDBStorage") graph_storage: str = field(default="NetworkXStorage") @@ -115,7 +112,7 @@ class LightRAG: # storage vector_db_storage_cls_kwargs: dict = field(default_factory=dict) - + enable_llm_cache: bool = True # extension @@ -134,18 +131,25 @@ def __post_init__(self): # @TODO: should move all storage setup here to leverage initial start params attached to self. - self.key_string_value_json_storage_cls: Type[BaseKVStorage] = self._get_storage_class()[self.kv_storage] - self.vector_db_storage_cls: Type[BaseVectorStorage] = self._get_storage_class()[self.vector_storage] - self.graph_storage_cls: Type[BaseGraphStorage] = self._get_storage_class()[self.graph_storage] + self.key_string_value_json_storage_cls: Type[BaseKVStorage] = ( + self._get_storage_class()[self.kv_storage] + ) + self.vector_db_storage_cls: Type[BaseVectorStorage] = self._get_storage_class()[ + self.vector_storage + ] + self.graph_storage_cls: Type[BaseGraphStorage] = self._get_storage_class()[ + self.graph_storage + ] if not os.path.exists(self.working_dir): logger.info(f"Creating working directory {self.working_dir}") os.makedirs(self.working_dir) - self.llm_response_cache = ( self.key_string_value_json_storage_cls( - namespace="llm_response_cache", global_config=asdict(self),embedding_func=None + namespace="llm_response_cache", + global_config=asdict(self), + embedding_func=None, ) if self.enable_llm_cache else None @@ -159,13 +163,19 @@ def __post_init__(self): # add embedding func by walter #### self.full_docs = self.key_string_value_json_storage_cls( - namespace="full_docs", global_config=asdict(self), embedding_func=self.embedding_func + namespace="full_docs", + global_config=asdict(self), + embedding_func=self.embedding_func, ) self.text_chunks = self.key_string_value_json_storage_cls( - namespace="text_chunks", global_config=asdict(self), embedding_func=self.embedding_func + namespace="text_chunks", + global_config=asdict(self), + embedding_func=self.embedding_func, ) self.chunk_entity_relation_graph = self.graph_storage_cls( - namespace="chunk_entity_relation", global_config=asdict(self), embedding_func=self.embedding_func + namespace="chunk_entity_relation", + global_config=asdict(self), + embedding_func=self.embedding_func, ) #### # add embedding func by walter over @@ -200,13 +210,11 @@ def __post_init__(self): def _get_storage_class(self) -> Type[BaseGraphStorage]: return { # kv storage - "JsonKVStorage":JsonKVStorage, - "OracleKVStorage":OracleKVStorage, - + "JsonKVStorage": JsonKVStorage, + "OracleKVStorage": OracleKVStorage, # vector storage - "NanoVectorDBStorage":NanoVectorDBStorage, - "OracleVectorDBStorage":OracleVectorDBStorage, - + "NanoVectorDBStorage": NanoVectorDBStorage, + "OracleVectorDBStorage": OracleVectorDBStorage, # graph storage "NetworkXStorage": NetworkXStorage, "Neo4JStorage": Neo4JStorage, diff --git a/lightrag/operate.py b/lightrag/operate.py index 5288c26d..db7c9401 100644 --- a/lightrag/operate.py +++ b/lightrag/operate.py @@ -16,7 +16,7 @@ split_string_by_multi_markers, truncate_list_by_token_size, process_combine_contexts, - locate_json_string_body_from_string + locate_json_string_body_from_string, ) from .base import ( BaseGraphStorage, diff --git a/requirements.txt b/requirements.txt index d57de091..6adb6929 100644 --- a/requirements.txt +++ b/requirements.txt @@ -1,22 +1,22 @@ accelerate +aioboto3 aiohttp + +# database packages +graspologic +hnswlib +nano-vectordb +neo4j +networkx +ollama +openai +oracledb pyvis tenacity -xxhash # lmdeploy[all] # LLM packages tiktoken torch transformers -aioboto3 -ollama -openai - -# database packages -graspologic -hnswlib -networkx -oracledb -nano-vectordb -neo4j \ No newline at end of file +xxhash From dcf264114742304d9908d3e45666a7b7d6deb49f Mon Sep 17 00:00:00 2001 From: zrguo <49157727+LarFii@users.noreply.github.com> Date: Tue, 12 Nov 2024 15:38:16 +0800 Subject: [PATCH 182/258] Update lightrag_api_oracle_demo..py --- examples/lightrag_api_oracle_demo..py | 4 ++-- 1 file changed, 2 insertions(+), 2 deletions(-) diff --git a/examples/lightrag_api_oracle_demo..py b/examples/lightrag_api_oracle_demo..py index 3bfae452..9b4e2741 100644 --- a/examples/lightrag_api_oracle_demo..py +++ b/examples/lightrag_api_oracle_demo..py @@ -149,13 +149,13 @@ class Response(BaseModel): # API routes -rag = None # 定义为全局对象 +rag = None @asynccontextmanager async def lifespan(app: FastAPI): global rag - rag = await init() # 在应用启动时初始化 `rag` + rag = await init() print("done!") yield From d4a27c901e4b53df1f2a4dbfb5fb8b1f1c08aec7 Mon Sep 17 00:00:00 2001 From: Rick Battle Date: Tue, 12 Nov 2024 09:30:21 -0700 Subject: [PATCH 183/258] Only update storage if there was something to insert Before, the `finally` block would always call `_insert_done()`, which writes out the `vdb_*` and `kv_store_*` files ... even if there was nothing to insert (because all docs had already been inserted). This was causing the speed of skippable inserts to become very slow as the graph grew. --- lightrag/lightrag.py | 5 ++++- 1 file changed, 4 insertions(+), 1 deletion(-) diff --git a/lightrag/lightrag.py b/lightrag/lightrag.py index 50e33405..67337098 100644 --- a/lightrag/lightrag.py +++ b/lightrag/lightrag.py @@ -227,6 +227,7 @@ def insert(self, string_or_strings): return loop.run_until_complete(self.ainsert(string_or_strings)) async def ainsert(self, string_or_strings): + update_storage = False try: if isinstance(string_or_strings, str): string_or_strings = [string_or_strings] @@ -240,6 +241,7 @@ async def ainsert(self, string_or_strings): if not len(new_docs): logger.warning("All docs are already in the storage") return + update_storage = True logger.info(f"[New Docs] inserting {len(new_docs)} docs") inserting_chunks = {} @@ -286,7 +288,8 @@ async def ainsert(self, string_or_strings): await self.full_docs.upsert(new_docs) await self.text_chunks.upsert(inserting_chunks) finally: - await self._insert_done() + if update_storage: + await self._insert_done() async def _insert_done(self): tasks = [] From 3ac8010c3f12d87e124cb758e3e593930d6d0b71 Mon Sep 17 00:00:00 2001 From: david Date: Wed, 13 Nov 2024 14:20:36 +0800 Subject: [PATCH 184/258] fix hf embedding to support loading to different device --- lightrag/llm.py | 8 ++++++-- 1 file changed, 6 insertions(+), 2 deletions(-) diff --git a/lightrag/llm.py b/lightrag/llm.py index f4045e80..6cc46c85 100644 --- a/lightrag/llm.py +++ b/lightrag/llm.py @@ -693,13 +693,17 @@ async def bedrock_embedding( async def hf_embedding(texts: list[str], tokenizer, embed_model) -> np.ndarray: + device = next(embed_model.parameters()).device input_ids = tokenizer( texts, return_tensors="pt", padding=True, truncation=True - ).input_ids + ).input_ids.to(device) with torch.no_grad(): outputs = embed_model(input_ids) embeddings = outputs.last_hidden_state.mean(dim=1) - return embeddings.detach().numpy() + if embeddings.dtype == torch.bfloat16: + return embeddings.detach().to(torch.float32).cpu().numpy() + else: + return embeddings.detach().cpu().numpy() async def ollama_embedding(texts: list[str], embed_model, **kwargs) -> np.ndarray: From f8b15df74c953762fefe118b9ea3a9f1dc787f8b Mon Sep 17 00:00:00 2001 From: LarFii <834462287@qq.com> Date: Thu, 14 Nov 2024 15:59:37 +0800 Subject: [PATCH 185/258] fix cache bug --- lightrag/__init__.py | 2 +- lightrag/operate.py | 24 ++++++++++++++++++------ lightrag/utils.py | 18 ++++++++++++------ 3 files changed, 31 insertions(+), 13 deletions(-) diff --git a/lightrag/__init__.py b/lightrag/__init__.py index 6d9003ff..c8b61765 100644 --- a/lightrag/__init__.py +++ b/lightrag/__init__.py @@ -1,5 +1,5 @@ from .lightrag import LightRAG as LightRAG, QueryParam as QueryParam -__version__ = "1.0.0" +__version__ = "1.0.1" __author__ = "Zirui Guo" __url__ = "https://github.com/HKUDS/LightRAG" diff --git a/lightrag/operate.py b/lightrag/operate.py index db7c9401..b11e14fe 100644 --- a/lightrag/operate.py +++ b/lightrag/operate.py @@ -630,10 +630,16 @@ async def _find_most_related_edges_from_entities( all_related_edges = await asyncio.gather( *[knowledge_graph_inst.get_node_edges(dp["entity_name"]) for dp in node_datas] ) - all_edges = set() + all_edges = [] + seen = set() + for this_edges in all_related_edges: - all_edges.update([tuple(sorted(e)) for e in this_edges]) - all_edges = list(all_edges) + for e in this_edges: + sorted_edge = tuple(sorted(e)) + if sorted_edge not in seen: + seen.add(sorted_edge) + all_edges.append(sorted_edge) + all_edges_pack = await asyncio.gather( *[knowledge_graph_inst.get_edge(e[0], e[1]) for e in all_edges] ) @@ -833,10 +839,16 @@ async def _find_most_related_entities_from_relationships( query_param: QueryParam, knowledge_graph_inst: BaseGraphStorage, ): - entity_names = set() + entity_names = [] + seen = set() + for e in edge_datas: - entity_names.add(e["src_id"]) - entity_names.add(e["tgt_id"]) + if e["src_id"] not in seen: + entity_names.append(e["src_id"]) + seen.add(e["src_id"]) + if e["tgt_id"] not in seen: + entity_names.append(e["tgt_id"]) + seen.add(e["tgt_id"]) node_datas = await asyncio.gather( *[knowledge_graph_inst.get_node(entity_name) for entity_name in entity_names] diff --git a/lightrag/utils.py b/lightrag/utils.py index 104c9fec..a849f804 100644 --- a/lightrag/utils.py +++ b/lightrag/utils.py @@ -274,13 +274,19 @@ def process_combine_contexts(hl, ll): if list_ll: list_ll = [",".join(item[1:]) for item in list_ll if item] - combined_sources_set = set(filter(None, list_hl + list_ll)) + combined_sources = [] + seen = set() - combined_sources = [",\t".join(header)] + for item in list_hl + list_ll: + if item and item not in seen: + combined_sources.append(item) + seen.add(item) - for i, item in enumerate(combined_sources_set, start=1): - combined_sources.append(f"{i},\t{item}") + combined_sources_result = [",\t".join(header)] - combined_sources = "\n".join(combined_sources) + for i, item in enumerate(combined_sources, start=1): + combined_sources_result.append(f"{i},\t{item}") - return combined_sources + combined_sources_result = "\n".join(combined_sources_result) + + return combined_sources_result From 40ef017e3dc76b5aac5ae4125f983bfe3ba3aa72 Mon Sep 17 00:00:00 2001 From: zrguo <49157727+LarFii@users.noreply.github.com> Date: Thu, 14 Nov 2024 16:02:30 +0800 Subject: [PATCH 186/258] Update Discord Link --- README.md | 2 +- 1 file changed, 1 insertion(+), 1 deletion(-) diff --git a/README.md b/README.md index 74c40f15..be6c1bb5 100644 --- a/README.md +++ b/README.md @@ -8,7 +8,7 @@ - +

From 2022578323c5c26892251edf83d40abf96e3b895 Mon Sep 17 00:00:00 2001 From: zrguo <49157727+LarFii@users.noreply.github.com> Date: Thu, 14 Nov 2024 16:21:20 +0800 Subject: [PATCH 187/258] Update Discord Link --- README.md | 2 +- 1 file changed, 1 insertion(+), 1 deletion(-) diff --git a/README.md b/README.md index be6c1bb5..b62f01a1 100644 --- a/README.md +++ b/README.md @@ -29,7 +29,7 @@ This repository hosts the code of LightRAG. The structure of this code is based - [x] [2024.10.29]🎯📢LightRAG now supports multiple file types, including PDF, DOC, PPT, and CSV via `textract`. - [x] [2024.10.20]🎯📢We’ve added a new feature to LightRAG: Graph Visualization. - [x] [2024.10.18]🎯📢We’ve added a link to a [LightRAG Introduction Video](https://youtu.be/oageL-1I0GE). Thanks to the author! -- [x] [2024.10.17]🎯📢We have created a [Discord channel](https://discord.gg/mvsfu2Tg)! Welcome to join for sharing and discussions! 🎉🎉 +- [x] [2024.10.17]🎯📢We have created a [Discord channel](https://discord.gg/E4HgTnck)! Welcome to join for sharing and discussions! 🎉🎉 - [x] [2024.10.16]🎯📢LightRAG now supports [Ollama models](https://github.com/HKUDS/LightRAG?tab=readme-ov-file#quick-start)! - [x] [2024.10.15]🎯📢LightRAG now supports [Hugging Face models](https://github.com/HKUDS/LightRAG?tab=readme-ov-file#quick-start)! From 662303f605a9801c166f646ddf91054ad7bdf774 Mon Sep 17 00:00:00 2001 From: jin <52519003+jin38324@users.noreply.github.com> Date: Fri, 15 Nov 2024 12:57:01 +0800 Subject: [PATCH 188/258] use oracle bind variables to avoid error --- lightrag/base.py | 1 + lightrag/kg/oracle_impl.py | 318 ++++++++++++++++++++----------------- lightrag/operate.py | 16 +- lightrag/utils.py | 6 +- 4 files changed, 194 insertions(+), 147 deletions(-) diff --git a/lightrag/base.py b/lightrag/base.py index 46dfc800..ca46057f 100644 --- a/lightrag/base.py +++ b/lightrag/base.py @@ -17,6 +17,7 @@ class QueryParam: mode: Literal["local", "global", "hybrid", "naive"] = "global" only_need_context: bool = False + only_need_prompt: bool = False response_type: str = "Multiple Paragraphs" # Number of top-k items to retrieve; corresponds to entities in "local" mode and relationships in "global" mode. top_k: int = 60 diff --git a/lightrag/kg/oracle_impl.py b/lightrag/kg/oracle_impl.py index 96a9e795..e81c32d0 100644 --- a/lightrag/kg/oracle_impl.py +++ b/lightrag/kg/oracle_impl.py @@ -114,16 +114,17 @@ async def check_tables(self): logger.info("Finished check all tables in Oracle database") - async def query(self, sql: str, multirows: bool = False) -> Union[dict, None]: + async def query(self, sql: str, params: dict = None, multirows: bool = False) -> Union[dict, None]: async with self.pool.acquire() as connection: connection.inputtypehandler = self.input_type_handler connection.outputtypehandler = self.output_type_handler with connection.cursor() as cursor: try: - await cursor.execute(sql) + await cursor.execute(sql, params) except Exception as e: logger.error(f"Oracle database error: {e}") print(sql) + print(params) raise columns = [column[0].lower() for column in cursor.description] if multirows: @@ -140,7 +141,7 @@ async def query(self, sql: str, multirows: bool = False) -> Union[dict, None]: data = None return data - async def execute(self, sql: str, data: list = None): + async def execute(self, sql: str, data: list | dict = None): # logger.info("go into OracleDB execute method") try: async with self.pool.acquire() as connection: @@ -172,11 +173,10 @@ def __post_init__(self): async def get_by_id(self, id: str) -> Union[dict, None]: """根据 id 获取 doc_full 数据.""" - SQL = SQL_TEMPLATES["get_by_id_" + self.namespace].format( - workspace=self.db.workspace, id=id - ) + SQL = SQL_TEMPLATES["get_by_id_" + self.namespace] + params = {"workspace":self.db.workspace, "id":id} # print("get_by_id:"+SQL) - res = await self.db.query(SQL) + res = await self.db.query(SQL,params) if res: data = res # {"data":res} # print (data) @@ -187,11 +187,11 @@ async def get_by_id(self, id: str) -> Union[dict, None]: # Query by id async def get_by_ids(self, ids: list[str], fields=None) -> Union[list[dict], None]: """根据 id 获取 doc_chunks 数据""" - SQL = SQL_TEMPLATES["get_by_ids_" + self.namespace].format( - workspace=self.db.workspace, ids=",".join([f"'{id}'" for id in ids]) - ) - # print("get_by_ids:"+SQL) - res = await self.db.query(SQL, multirows=True) + SQL = SQL_TEMPLATES["get_by_ids_" + self.namespace].format(ids=",".join([f"'{id}'" for id in ids])) + params = {"workspace":self.db.workspace} + #print("get_by_ids:"+SQL) + #print(params) + res = await self.db.query(SQL,params, multirows=True) if res: data = res # [{"data":i} for i in res] # print(data) @@ -201,12 +201,16 @@ async def get_by_ids(self, ids: list[str], fields=None) -> Union[list[dict], Non async def filter_keys(self, keys: list[str]) -> set[str]: """过滤掉重复内容""" - SQL = SQL_TEMPLATES["filter_keys"].format( - table_name=N_T[self.namespace], - workspace=self.db.workspace, - ids=",".join([f"'{k}'" for k in keys]), - ) - res = await self.db.query(SQL, multirows=True) + SQL = SQL_TEMPLATES["filter_keys"].format(table_name=N_T[self.namespace], + ids=",".join([f"'{id}'" for id in keys])) + params = {"workspace":self.db.workspace} + try: + await self.db.query(SQL, params) + except Exception as e: + logger.error(f"Oracle database error: {e}") + print(SQL) + print(params) + res = await self.db.query(SQL, params,multirows=True) data = None if res: exist_keys = [key["id"] for key in res] @@ -243,29 +247,31 @@ async def upsert(self, data: dict[str, dict]): d["__vector__"] = embeddings[i] # print(list_data) for item in list_data: - merge_sql = SQL_TEMPLATES["merge_chunk"].format(check_id=item["__id__"]) - - values = [ - item["__id__"], - item["content"], - self.db.workspace, - item["tokens"], - item["chunk_order_index"], - item["full_doc_id"], - item["__vector__"], - ] + merge_sql = SQL_TEMPLATES["merge_chunk"] + data = {"check_id":item["__id__"], + "id":item["__id__"], + "content":item["content"], + "workspace":self.db.workspace, + "tokens":item["tokens"], + "chunk_order_index":item["chunk_order_index"], + "full_doc_id":item["full_doc_id"], + "content_vector":item["__vector__"] + } # print(merge_sql) - await self.db.execute(merge_sql, values) + await self.db.execute(merge_sql, data) if self.namespace == "full_docs": for k, v in self._data.items(): # values.clear() - merge_sql = SQL_TEMPLATES["merge_doc_full"].format( - check_id=k, - ) - values = [k, self._data[k]["content"], self.db.workspace] + merge_sql = SQL_TEMPLATES["merge_doc_full"] + data = { + "check_id":k, + "id":k, + "content":v["content"], + "workspace":self.db.workspace + } # print(merge_sql) - await self.db.execute(merge_sql, values) + await self.db.execute(merge_sql, data) return left_data async def index_done_callback(self): @@ -295,18 +301,17 @@ async def query(self, query: str, top_k=5) -> Union[dict, list[dict]]: # 转换精度 dtype = str(embedding.dtype).upper() dimension = embedding.shape[0] - embedding_string = ", ".join(map(str, embedding.tolist())) - - SQL = SQL_TEMPLATES[self.namespace].format( - embedding_string=embedding_string, - dimension=dimension, - dtype=dtype, - workspace=self.db.workspace, - top_k=top_k, - better_than_threshold=self.cosine_better_than_threshold, - ) + embedding_string = "["+", ".join(map(str, embedding.tolist()))+"]" + + SQL = SQL_TEMPLATES[self.namespace].format(dimension=dimension, dtype=dtype) + params = { + "embedding_string": embedding_string, + "workspace": self.db.workspace, + "top_k": top_k, + "better_than_threshold": self.cosine_better_than_threshold, + } # print(SQL) - results = await self.db.query(SQL, multirows=True) + results = await self.db.query(SQL,params=params, multirows=True) # print("vector search result:",results) return results @@ -339,22 +344,18 @@ async def upsert_node(self, node_id: str, node_data: dict[str, str]): ) embeddings = np.concatenate(embeddings_list) content_vector = embeddings[0] - merge_sql = SQL_TEMPLATES["merge_node"].format( - workspace=self.db.workspace, name=entity_name, source_chunk_id=source_id - ) + merge_sql = SQL_TEMPLATES["merge_node"] + data = { + "workspace":self.db.workspace, + "name":entity_name, + "entity_type":entity_type, + "description":description, + "source_chunk_id":source_id, + "content":content, + "content_vector":content_vector + } # print(merge_sql) - await self.db.execute( - merge_sql, - [ - self.db.workspace, - entity_name, - entity_type, - description, - source_id, - content, - content_vector, - ], - ) + await self.db.execute(merge_sql,data) # self._graph.add_node(node_id, **node_data) async def upsert_edge( @@ -379,27 +380,20 @@ async def upsert_edge( ) embeddings = np.concatenate(embeddings_list) content_vector = embeddings[0] - merge_sql = SQL_TEMPLATES["merge_edge"].format( - workspace=self.db.workspace, - source_name=source_name, - target_name=target_name, - source_chunk_id=source_chunk_id, - ) + merge_sql = SQL_TEMPLATES["merge_edge"] + data = { + "workspace":self.db.workspace, + "source_name":source_name, + "target_name":target_name, + "weight":weight, + "keywords":keywords, + "description":description, + "source_chunk_id":source_chunk_id, + "content":content, + "content_vector":content_vector + } # print(merge_sql) - await self.db.execute( - merge_sql, - [ - self.db.workspace, - source_name, - target_name, - weight, - keywords, - description, - source_chunk_id, - content, - content_vector, - ], - ) + await self.db.execute(merge_sql,data) # self._graph.add_edge(source_node_id, target_node_id, **edge_data) async def embed_nodes(self, algorithm: str) -> tuple[np.ndarray, list[str]]: @@ -429,12 +423,14 @@ async def index_done_callback(self): #################### query method ################# async def has_node(self, node_id: str) -> bool: """根据节点id检查节点是否存在""" - SQL = SQL_TEMPLATES["has_node"].format( - workspace=self.db.workspace, node_id=node_id - ) + SQL = SQL_TEMPLATES["has_node"] + params = { + "workspace":self.db.workspace, + "node_id":node_id + } # print(SQL) # print(self.db.workspace, node_id) - res = await self.db.query(SQL) + res = await self.db.query(SQL,params) if res: # print("Node exist!",res) return True @@ -444,13 +440,14 @@ async def has_node(self, node_id: str) -> bool: async def has_edge(self, source_node_id: str, target_node_id: str) -> bool: """根据源和目标节点id检查边是否存在""" - SQL = SQL_TEMPLATES["has_edge"].format( - workspace=self.db.workspace, - source_node_id=source_node_id, - target_node_id=target_node_id, - ) + SQL = SQL_TEMPLATES["has_edge"] + params = { + "workspace":self.db.workspace, + "source_node_id":source_node_id, + "target_node_id":target_node_id + } # print(SQL) - res = await self.db.query(SQL) + res = await self.db.query(SQL,params) if res: # print("Edge exist!",res) return True @@ -460,11 +457,13 @@ async def has_edge(self, source_node_id: str, target_node_id: str) -> bool: async def node_degree(self, node_id: str) -> int: """根据节点id获取节点的度""" - SQL = SQL_TEMPLATES["node_degree"].format( - workspace=self.db.workspace, node_id=node_id - ) + SQL = SQL_TEMPLATES["node_degree"] + params = { + "workspace":self.db.workspace, + "node_id":node_id + } # print(SQL) - res = await self.db.query(SQL) + res = await self.db.query(SQL,params) if res: # print("Node degree",res["degree"]) return res["degree"] @@ -480,12 +479,14 @@ async def edge_degree(self, src_id: str, tgt_id: str) -> int: async def get_node(self, node_id: str) -> Union[dict, None]: """根据节点id获取节点数据""" - SQL = SQL_TEMPLATES["get_node"].format( - workspace=self.db.workspace, node_id=node_id - ) + SQL = SQL_TEMPLATES["get_node"] + params = { + "workspace":self.db.workspace, + "node_id":node_id + } # print(self.db.workspace, node_id) # print(SQL) - res = await self.db.query(SQL) + res = await self.db.query(SQL,params) if res: # print("Get node!",self.db.workspace, node_id,res) return res @@ -497,12 +498,13 @@ async def get_edge( self, source_node_id: str, target_node_id: str ) -> Union[dict, None]: """根据源和目标节点id获取边""" - SQL = SQL_TEMPLATES["get_edge"].format( - workspace=self.db.workspace, - source_node_id=source_node_id, - target_node_id=target_node_id, - ) - res = await self.db.query(SQL) + SQL = SQL_TEMPLATES["get_edge"] + params = { + "workspace":self.db.workspace, + "source_node_id":source_node_id, + "target_node_id":target_node_id + } + res = await self.db.query(SQL,params) if res: # print("Get edge!",self.db.workspace, source_node_id, target_node_id,res[0]) return res @@ -513,10 +515,12 @@ async def get_edge( async def get_node_edges(self, source_node_id: str): """根据节点id获取节点的所有边""" if await self.has_node(source_node_id): - SQL = SQL_TEMPLATES["get_node_edges"].format( - workspace=self.db.workspace, source_node_id=source_node_id - ) - res = await self.db.query(sql=SQL, multirows=True) + SQL = SQL_TEMPLATES["get_node_edges"] + params = { + "workspace":self.db.workspace, + "source_node_id":source_node_id + } + res = await self.db.query(sql=SQL, params=params, multirows=True) if res: data = [(i["source_name"], i["target_name"]) for i in res] # print("Get node edge!",self.db.workspace, source_node_id,data) @@ -524,8 +528,22 @@ async def get_node_edges(self, source_node_id: str): else: # print("Node Edge not exist!",self.db.workspace, source_node_id) return [] + + async def get_all_nodes(self, limit: int): + """查询所有节点""" + SQL = SQL_TEMPLATES["get_all_nodes"] + params = {"workspace":self.db.workspace, "limit":str(limit)} + res = await self.db.query(sql=SQL,params=params, multirows=True) + if res: + return res - + async def get_all_edges(self, limit: int): + """查询所有边""" + SQL = SQL_TEMPLATES["get_all_edges"] + params = {"workspace":self.db.workspace, "limit":str(limit)} + res = await self.db.query(sql=SQL,params=params, multirows=True) + if res: + return res N_T = { "full_docs": "LIGHTRAG_DOC_FULL", "text_chunks": "LIGHTRAG_DOC_CHUNKS", @@ -619,82 +637,96 @@ async def get_node_edges(self, source_node_id: str): SQL_TEMPLATES = { # SQL for KVStorage - "get_by_id_full_docs": "select ID,NVL(content,'') as content from LIGHTRAG_DOC_FULL where workspace='{workspace}' and ID='{id}'", - "get_by_id_text_chunks": "select ID,TOKENS,NVL(content,'') as content,CHUNK_ORDER_INDEX,FULL_DOC_ID from LIGHTRAG_DOC_CHUNKS where workspace='{workspace}' and ID='{id}'", - "get_by_ids_full_docs": "select ID,NVL(content,'') as content from LIGHTRAG_DOC_FULL where workspace='{workspace}' and ID in ({ids})", - "get_by_ids_text_chunks": "select ID,TOKENS,NVL(content,'') as content,CHUNK_ORDER_INDEX,FULL_DOC_ID from LIGHTRAG_DOC_CHUNKS where workspace='{workspace}' and ID in ({ids})", - "filter_keys": "select id from {table_name} where workspace='{workspace}' and id in ({ids})", + "get_by_id_full_docs": "select ID,NVL(content,'') as content from LIGHTRAG_DOC_FULL where workspace=:workspace and ID=:id", + "get_by_id_text_chunks": "select ID,TOKENS,NVL(content,'') as content,CHUNK_ORDER_INDEX,FULL_DOC_ID from LIGHTRAG_DOC_CHUNKS where workspace=:workspace and ID=:id", + "get_by_ids_full_docs": "select ID,NVL(content,'') as content from LIGHTRAG_DOC_FULL where workspace=:workspace and ID in ({ids})", + "get_by_ids_text_chunks": "select ID,TOKENS,NVL(content,'') as content,CHUNK_ORDER_INDEX,FULL_DOC_ID from LIGHTRAG_DOC_CHUNKS where workspace=:workspace and ID in ({ids})", + "filter_keys": "select id from {table_name} where workspace=:workspace and id in ({ids})", "merge_doc_full": """ MERGE INTO LIGHTRAG_DOC_FULL a USING DUAL - ON (a.id = '{check_id}') + ON (a.id = :check_id) WHEN NOT MATCHED THEN - INSERT(id,content,workspace) values(:1,:2,:3) + INSERT(id,content,workspace) values(:id,:content,:workspace) """, "merge_chunk": """MERGE INTO LIGHTRAG_DOC_CHUNKS a USING DUAL - ON (a.id = '{check_id}') + ON (a.id = :check_id) WHEN NOT MATCHED THEN INSERT(id,content,workspace,tokens,chunk_order_index,full_doc_id,content_vector) - values (:1,:2,:3,:4,:5,:6,:7) """, + values (:id,:content,:workspace,:tokens,:chunk_order_index,:full_doc_id,:content_vector) """, # SQL for VectorStorage "entities": """SELECT name as entity_name FROM - (SELECT id,name,VECTOR_DISTANCE(content_vector,vector('[{embedding_string}]',{dimension},{dtype}),COSINE) as distance - FROM LIGHTRAG_GRAPH_NODES WHERE workspace='{workspace}') - WHERE distance>{better_than_threshold} ORDER BY distance ASC FETCH FIRST {top_k} ROWS ONLY""", + (SELECT id,name,VECTOR_DISTANCE(content_vector,vector(:embedding_string,{dimension},{dtype}),COSINE) as distance + FROM LIGHTRAG_GRAPH_NODES WHERE workspace=:workspace) + WHERE distance>:better_than_threshold ORDER BY distance ASC FETCH FIRST :top_k ROWS ONLY""", "relationships": """SELECT source_name as src_id, target_name as tgt_id FROM - (SELECT id,source_name,target_name,VECTOR_DISTANCE(content_vector,vector('[{embedding_string}]',{dimension},{dtype}),COSINE) as distance - FROM LIGHTRAG_GRAPH_EDGES WHERE workspace='{workspace}') - WHERE distance>{better_than_threshold} ORDER BY distance ASC FETCH FIRST {top_k} ROWS ONLY""", + (SELECT id,source_name,target_name,VECTOR_DISTANCE(content_vector,vector(:embedding_string,{dimension},{dtype}),COSINE) as distance + FROM LIGHTRAG_GRAPH_EDGES WHERE workspace=:workspace) + WHERE distance>:better_than_threshold ORDER BY distance ASC FETCH FIRST :top_k ROWS ONLY""", "chunks": """SELECT id FROM - (SELECT id,VECTOR_DISTANCE(content_vector,vector('[{embedding_string}]',{dimension},{dtype}),COSINE) as distance - FROM LIGHTRAG_DOC_CHUNKS WHERE workspace='{workspace}') - WHERE distance>{better_than_threshold} ORDER BY distance ASC FETCH FIRST {top_k} ROWS ONLY""", + (SELECT id,VECTOR_DISTANCE(content_vector,vector(:embedding_string,{dimension},{dtype}),COSINE) as distance + FROM LIGHTRAG_DOC_CHUNKS WHERE workspace=:workspace) + WHERE distance>:better_than_threshold ORDER BY distance ASC FETCH FIRST :top_k ROWS ONLY""", # SQL for GraphStorage "has_node": """SELECT * FROM GRAPH_TABLE (lightrag_graph MATCH (a) - WHERE a.workspace='{workspace}' AND a.name='{node_id}' + WHERE a.workspace=:workspace AND a.name=:node_id COLUMNS (a.name))""", "has_edge": """SELECT * FROM GRAPH_TABLE (lightrag_graph MATCH (a) -[e]-> (b) - WHERE e.workspace='{workspace}' and a.workspace='{workspace}' and b.workspace='{workspace}' - AND a.name='{source_node_id}' AND b.name='{target_node_id}' + WHERE e.workspace=:workspace and a.workspace=:workspace and b.workspace=:workspace + AND a.name=:source_node_id AND b.name=:target_node_id COLUMNS (e.source_name,e.target_name) )""", "node_degree": """SELECT count(1) as degree FROM GRAPH_TABLE (lightrag_graph MATCH (a)-[e]->(b) - WHERE a.workspace='{workspace}' and a.workspace='{workspace}' and b.workspace='{workspace}' - AND a.name='{node_id}' or b.name = '{node_id}' + WHERE a.workspace=:workspace and a.workspace=:workspace and b.workspace=:workspace + AND a.name=:node_id or b.name = :node_id COLUMNS (a.name))""", "get_node": """SELECT t1.name,t2.entity_type,t2.source_chunk_id as source_id,NVL(t2.description,'') AS description FROM GRAPH_TABLE (lightrag_graph MATCH (a) - WHERE a.workspace='{workspace}' AND a.name='{node_id}' + WHERE a.workspace=:workspace AND a.name=:node_id COLUMNS (a.name) ) t1 JOIN LIGHTRAG_GRAPH_NODES t2 on t1.name=t2.name - WHERE t2.workspace='{workspace}'""", + WHERE t2.workspace=:workspace""", "get_edge": """SELECT t1.source_id,t2.weight,t2.source_chunk_id as source_id,t2.keywords, NVL(t2.description,'') AS description,NVL(t2.KEYWORDS,'') AS keywords FROM GRAPH_TABLE (lightrag_graph MATCH (a)-[e]->(b) - WHERE e.workspace='{workspace}' and a.workspace='{workspace}' and b.workspace='{workspace}' - AND a.name='{source_node_id}' and b.name = '{target_node_id}' + WHERE e.workspace=:workspace and a.workspace=:workspace and b.workspace=:workspace + AND a.name=:source_node_id and b.name = :target_node_id COLUMNS (e.id,a.name as source_id) ) t1 JOIN LIGHTRAG_GRAPH_EDGES t2 on t1.id=t2.id""", "get_node_edges": """SELECT source_name,target_name FROM GRAPH_TABLE (lightrag_graph MATCH (a)-[e]->(b) - WHERE e.workspace='{workspace}' and a.workspace='{workspace}' and b.workspace='{workspace}' - AND a.name='{source_node_id}' + WHERE e.workspace=:workspace and a.workspace=:workspace and b.workspace=:workspace + AND a.name=:source_node_id COLUMNS (a.name as source_name,b.name as target_name))""", "merge_node": """MERGE INTO LIGHTRAG_GRAPH_NODES a USING DUAL - ON (a.workspace = '{workspace}' and a.name='{name}' and a.source_chunk_id='{source_chunk_id}') + ON (a.workspace = :workspace and a.name=:name and a.source_chunk_id=:source_chunk_id) WHEN NOT MATCHED THEN INSERT(workspace,name,entity_type,description,source_chunk_id,content,content_vector) - values (:1,:2,:3,:4,:5,:6,:7) """, + values (:workspace,:name,:entity_type,:description,:source_chunk_id,:content,:content_vector) """, "merge_edge": """MERGE INTO LIGHTRAG_GRAPH_EDGES a USING DUAL - ON (a.workspace = '{workspace}' and a.source_name='{source_name}' and a.target_name='{target_name}' and a.source_chunk_id='{source_chunk_id}') + ON (a.workspace = :workspace and a.source_name=:source_name and a.target_name=:target_name and a.source_chunk_id=:source_chunk_id) WHEN NOT MATCHED THEN INSERT(workspace,source_name,target_name,weight,keywords,description,source_chunk_id,content,content_vector) - values (:1,:2,:3,:4,:5,:6,:7,:8,:9) """, + values (:workspace,:source_name,:target_name,:weight,:keywords,:description,:source_chunk_id,:content,:content_vector) """, + "get_all_nodes":"""SELECT t1.name as id,t1.entity_type as label,t1.DESCRIPTION,t2.content + FROM LIGHTRAG_GRAPH_NODES t1 + LEFT JOIN LIGHTRAG_DOC_CHUNKS t2 on t1.source_chunk_id=t2.id + WHERE t1.workspace=:workspace + order by t1.CREATETIME DESC + fetch first :limit rows only + """, + "get_all_edges":"""SELECT t1.id,t1.keywords as label,t1.keywords, t1.source_name as source, t1.target_name as target, + t1.weight,t1.DESCRIPTION,t2.content + FROM LIGHTRAG_GRAPH_EDGES t1 + LEFT JOIN LIGHTRAG_DOC_CHUNKS t2 on t1.source_chunk_id=t2.id + WHERE t1.workspace=:workspace + order by t1.CREATETIME DESC + fetch first :limit rows only""" } diff --git a/lightrag/operate.py b/lightrag/operate.py index db7c9401..285b6e35 100644 --- a/lightrag/operate.py +++ b/lightrag/operate.py @@ -405,12 +405,13 @@ async def local_query( kw_prompt = kw_prompt_temp.format(query=query) result = await use_model_func(kw_prompt) json_text = locate_json_string_body_from_string(result) - + logger.debug("local_query json_text:", json_text) try: keywords_data = json.loads(json_text) keywords = keywords_data.get("low_level_keywords", []) keywords = ", ".join(keywords) except json.JSONDecodeError: + print(result) try: result = ( result.replace(kw_prompt[:-1], "") @@ -443,6 +444,8 @@ async def local_query( sys_prompt = sys_prompt_temp.format( context_data=context, response_type=query_param.response_type ) + if query_param.only_need_prompt: + return sys_prompt response = await use_model_func( query, system_prompt=sys_prompt, @@ -672,12 +675,12 @@ async def global_query( kw_prompt = kw_prompt_temp.format(query=query) result = await use_model_func(kw_prompt) json_text = locate_json_string_body_from_string(result) - + logger.debug("global json_text:", json_text) try: keywords_data = json.loads(json_text) keywords = keywords_data.get("high_level_keywords", []) keywords = ", ".join(keywords) - except json.JSONDecodeError: + except json.JSONDecodeError: try: result = ( result.replace(kw_prompt[:-1], "") @@ -714,6 +717,8 @@ async def global_query( sys_prompt = sys_prompt_temp.format( context_data=context, response_type=query_param.response_type ) + if query_param.only_need_prompt: + return sys_prompt response = await use_model_func( query, system_prompt=sys_prompt, @@ -914,6 +919,7 @@ async def hybrid_query( result = await use_model_func(kw_prompt) json_text = locate_json_string_body_from_string(result) + logger.debug("hybrid_query json_text:", json_text) try: keywords_data = json.loads(json_text) hl_keywords = keywords_data.get("high_level_keywords", []) @@ -969,6 +975,8 @@ async def hybrid_query( sys_prompt = sys_prompt_temp.format( context_data=context, response_type=query_param.response_type ) + if query_param.only_need_prompt: + return sys_prompt response = await use_model_func( query, system_prompt=sys_prompt, @@ -1079,6 +1087,8 @@ async def naive_query( sys_prompt = sys_prompt_temp.format( content_data=section, response_type=query_param.response_type ) + if query_param.only_need_prompt: + return sys_prompt response = await use_model_func( query, system_prompt=sys_prompt, diff --git a/lightrag/utils.py b/lightrag/utils.py index 104c9fec..473c5d39 100644 --- a/lightrag/utils.py +++ b/lightrag/utils.py @@ -49,7 +49,11 @@ def locate_json_string_body_from_string(content: str) -> Union[str, None]: """Locate the JSON string body from a string""" maybe_json_str = re.search(r"{.*}", content, re.DOTALL) if maybe_json_str is not None: - return maybe_json_str.group(0) + maybe_json_str = maybe_json_str.group(0) + maybe_json_str = maybe_json_str.replace("\\n", "") + maybe_json_str = maybe_json_str.replace("\n", "") + maybe_json_str = maybe_json_str.replace("'", '"') + return maybe_json_str else: return None From 6bdf693b85c4c207bb967472738e1f9be3609203 Mon Sep 17 00:00:00 2001 From: Richard <164130786@qq.com> Date: Fri, 15 Nov 2024 13:11:43 +0800 Subject: [PATCH 189/258] fix neo4j bug --- lightrag/kg/neo4j_impl.py | 1 + lightrag/lightrag.py | 3 +-- 2 files changed, 2 insertions(+), 2 deletions(-) diff --git a/lightrag/kg/neo4j_impl.py b/lightrag/kg/neo4j_impl.py index e6b33a9b..32bfbe2e 100644 --- a/lightrag/kg/neo4j_impl.py +++ b/lightrag/kg/neo4j_impl.py @@ -214,6 +214,7 @@ async def get_node_edges(self, source_node_id: str) -> List[Tuple[str, str]]: neo4jExceptions.ServiceUnavailable, neo4jExceptions.TransientError, neo4jExceptions.WriteServiceUnavailable, + neo4jExceptions.ClientError ) ), ) diff --git a/lightrag/lightrag.py b/lightrag/lightrag.py index 67337098..ce27e76d 100644 --- a/lightrag/lightrag.py +++ b/lightrag/lightrag.py @@ -174,8 +174,7 @@ def __post_init__(self): ) self.chunk_entity_relation_graph = self.graph_storage_cls( namespace="chunk_entity_relation", - global_config=asdict(self), - embedding_func=self.embedding_func, + global_config=asdict(self) ) #### # add embedding func by walter over From 1123ccfbd0c1d8f991005ce48523f3134b53474c Mon Sep 17 00:00:00 2001 From: tmuife <43266626@qq.com> Date: Mon, 18 Nov 2024 10:00:06 +0800 Subject: [PATCH 190/258] change the type of binding parameters in Oracle23AI --- lightrag/kg/oracle_impl.py | 322 +++++++++++++++++++++---------------- 1 file changed, 179 insertions(+), 143 deletions(-) diff --git a/lightrag/kg/oracle_impl.py b/lightrag/kg/oracle_impl.py index 96a9e795..fd8bf536 100644 --- a/lightrag/kg/oracle_impl.py +++ b/lightrag/kg/oracle_impl.py @@ -114,16 +114,17 @@ async def check_tables(self): logger.info("Finished check all tables in Oracle database") - async def query(self, sql: str, multirows: bool = False) -> Union[dict, None]: + async def query(self, sql: str, params: dict = None, multirows: bool = False) -> Union[dict, None]: async with self.pool.acquire() as connection: connection.inputtypehandler = self.input_type_handler connection.outputtypehandler = self.output_type_handler with connection.cursor() as cursor: try: - await cursor.execute(sql) + await cursor.execute(sql, params) except Exception as e: logger.error(f"Oracle database error: {e}") print(sql) + print(params) raise columns = [column[0].lower() for column in cursor.description] if multirows: @@ -140,7 +141,7 @@ async def query(self, sql: str, multirows: bool = False) -> Union[dict, None]: data = None return data - async def execute(self, sql: str, data: list = None): + async def execute(self, sql: str, data: list | dict = None): # logger.info("go into OracleDB execute method") try: async with self.pool.acquire() as connection: @@ -172,11 +173,10 @@ def __post_init__(self): async def get_by_id(self, id: str) -> Union[dict, None]: """根据 id 获取 doc_full 数据.""" - SQL = SQL_TEMPLATES["get_by_id_" + self.namespace].format( - workspace=self.db.workspace, id=id - ) + SQL = SQL_TEMPLATES["get_by_id_" + self.namespace] + params = {"workspace":self.db.workspace, "id":id} # print("get_by_id:"+SQL) - res = await self.db.query(SQL) + res = await self.db.query(SQL,params) if res: data = res # {"data":res} # print (data) @@ -187,11 +187,11 @@ async def get_by_id(self, id: str) -> Union[dict, None]: # Query by id async def get_by_ids(self, ids: list[str], fields=None) -> Union[list[dict], None]: """根据 id 获取 doc_chunks 数据""" - SQL = SQL_TEMPLATES["get_by_ids_" + self.namespace].format( - workspace=self.db.workspace, ids=",".join([f"'{id}'" for id in ids]) - ) - # print("get_by_ids:"+SQL) - res = await self.db.query(SQL, multirows=True) + SQL = SQL_TEMPLATES["get_by_ids_" + self.namespace].format(ids=",".join([f"'{id}'" for id in ids])) + params = {"workspace":self.db.workspace} + #print("get_by_ids:"+SQL) + #print(params) + res = await self.db.query(SQL,params, multirows=True) if res: data = res # [{"data":i} for i in res] # print(data) @@ -201,12 +201,16 @@ async def get_by_ids(self, ids: list[str], fields=None) -> Union[list[dict], Non async def filter_keys(self, keys: list[str]) -> set[str]: """过滤掉重复内容""" - SQL = SQL_TEMPLATES["filter_keys"].format( - table_name=N_T[self.namespace], - workspace=self.db.workspace, - ids=",".join([f"'{k}'" for k in keys]), - ) - res = await self.db.query(SQL, multirows=True) + SQL = SQL_TEMPLATES["filter_keys"].format(table_name=N_T[self.namespace], + ids=",".join([f"'{id}'" for id in keys])) + params = {"workspace":self.db.workspace} + try: + await self.db.query(SQL, params) + except Exception as e: + logger.error(f"Oracle database error: {e}") + print(SQL) + print(params) + res = await self.db.query(SQL, params,multirows=True) data = None if res: exist_keys = [key["id"] for key in res] @@ -243,29 +247,31 @@ async def upsert(self, data: dict[str, dict]): d["__vector__"] = embeddings[i] # print(list_data) for item in list_data: - merge_sql = SQL_TEMPLATES["merge_chunk"].format(check_id=item["__id__"]) - - values = [ - item["__id__"], - item["content"], - self.db.workspace, - item["tokens"], - item["chunk_order_index"], - item["full_doc_id"], - item["__vector__"], - ] + merge_sql = SQL_TEMPLATES["merge_chunk"] + data = {"check_id":item["__id__"], + "id":item["__id__"], + "content":item["content"], + "workspace":self.db.workspace, + "tokens":item["tokens"], + "chunk_order_index":item["chunk_order_index"], + "full_doc_id":item["full_doc_id"], + "content_vector":item["__vector__"] + } # print(merge_sql) - await self.db.execute(merge_sql, values) + await self.db.execute(merge_sql, data) if self.namespace == "full_docs": for k, v in self._data.items(): # values.clear() - merge_sql = SQL_TEMPLATES["merge_doc_full"].format( - check_id=k, - ) - values = [k, self._data[k]["content"], self.db.workspace] + merge_sql = SQL_TEMPLATES["merge_doc_full"] + data = { + "check_id":k, + "id":k, + "content":v["content"], + "workspace":self.db.workspace + } # print(merge_sql) - await self.db.execute(merge_sql, values) + await self.db.execute(merge_sql, data) return left_data async def index_done_callback(self): @@ -295,18 +301,17 @@ async def query(self, query: str, top_k=5) -> Union[dict, list[dict]]: # 转换精度 dtype = str(embedding.dtype).upper() dimension = embedding.shape[0] - embedding_string = ", ".join(map(str, embedding.tolist())) - - SQL = SQL_TEMPLATES[self.namespace].format( - embedding_string=embedding_string, - dimension=dimension, - dtype=dtype, - workspace=self.db.workspace, - top_k=top_k, - better_than_threshold=self.cosine_better_than_threshold, - ) + embedding_string = "["+", ".join(map(str, embedding.tolist()))+"]" + + SQL = SQL_TEMPLATES[self.namespace].format(dimension=dimension, dtype=dtype) + params = { + "embedding_string": embedding_string, + "workspace": self.db.workspace, + "top_k": top_k, + "better_than_threshold": self.cosine_better_than_threshold, + } # print(SQL) - results = await self.db.query(SQL, multirows=True) + results = await self.db.query(SQL,params=params, multirows=True) # print("vector search result:",results) return results @@ -328,6 +333,8 @@ async def upsert_node(self, node_id: str, node_data: dict[str, str]): entity_type = node_data["entity_type"] description = node_data["description"] source_id = node_data["source_id"] + logger.debug(f"entity_name:{entity_name}, entity_type:{entity_type}") + content = entity_name + description contents = [content] batches = [ @@ -339,22 +346,18 @@ async def upsert_node(self, node_id: str, node_data: dict[str, str]): ) embeddings = np.concatenate(embeddings_list) content_vector = embeddings[0] - merge_sql = SQL_TEMPLATES["merge_node"].format( - workspace=self.db.workspace, name=entity_name, source_chunk_id=source_id - ) + merge_sql = SQL_TEMPLATES["merge_node"] + data = { + "workspace":self.db.workspace, + "name":entity_name, + "entity_type":entity_type, + "description":description, + "source_chunk_id":source_id, + "content":content, + "content_vector":content_vector + } # print(merge_sql) - await self.db.execute( - merge_sql, - [ - self.db.workspace, - entity_name, - entity_type, - description, - source_id, - content, - content_vector, - ], - ) + await self.db.execute(merge_sql,data) # self._graph.add_node(node_id, **node_data) async def upsert_edge( @@ -368,6 +371,8 @@ async def upsert_edge( keywords = edge_data["keywords"] description = edge_data["description"] source_chunk_id = edge_data["source_id"] + logger.debug(f"source_name:{source_name}, target_name:{target_name}, keywords: {keywords}") + content = keywords + source_name + target_name + description contents = [content] batches = [ @@ -379,27 +384,20 @@ async def upsert_edge( ) embeddings = np.concatenate(embeddings_list) content_vector = embeddings[0] - merge_sql = SQL_TEMPLATES["merge_edge"].format( - workspace=self.db.workspace, - source_name=source_name, - target_name=target_name, - source_chunk_id=source_chunk_id, - ) + merge_sql = SQL_TEMPLATES["merge_edge"] + data = { + "workspace":self.db.workspace, + "source_name":source_name, + "target_name":target_name, + "weight":weight, + "keywords":keywords, + "description":description, + "source_chunk_id":source_chunk_id, + "content":content, + "content_vector":content_vector + } # print(merge_sql) - await self.db.execute( - merge_sql, - [ - self.db.workspace, - source_name, - target_name, - weight, - keywords, - description, - source_chunk_id, - content, - content_vector, - ], - ) + await self.db.execute(merge_sql,data) # self._graph.add_edge(source_node_id, target_node_id, **edge_data) async def embed_nodes(self, algorithm: str) -> tuple[np.ndarray, list[str]]: @@ -429,12 +427,14 @@ async def index_done_callback(self): #################### query method ################# async def has_node(self, node_id: str) -> bool: """根据节点id检查节点是否存在""" - SQL = SQL_TEMPLATES["has_node"].format( - workspace=self.db.workspace, node_id=node_id - ) + SQL = SQL_TEMPLATES["has_node"] + params = { + "workspace":self.db.workspace, + "node_id":node_id + } # print(SQL) # print(self.db.workspace, node_id) - res = await self.db.query(SQL) + res = await self.db.query(SQL,params) if res: # print("Node exist!",res) return True @@ -444,13 +444,14 @@ async def has_node(self, node_id: str) -> bool: async def has_edge(self, source_node_id: str, target_node_id: str) -> bool: """根据源和目标节点id检查边是否存在""" - SQL = SQL_TEMPLATES["has_edge"].format( - workspace=self.db.workspace, - source_node_id=source_node_id, - target_node_id=target_node_id, - ) + SQL = SQL_TEMPLATES["has_edge"] + params = { + "workspace":self.db.workspace, + "source_node_id":source_node_id, + "target_node_id":target_node_id + } # print(SQL) - res = await self.db.query(SQL) + res = await self.db.query(SQL,params) if res: # print("Edge exist!",res) return True @@ -460,11 +461,13 @@ async def has_edge(self, source_node_id: str, target_node_id: str) -> bool: async def node_degree(self, node_id: str) -> int: """根据节点id获取节点的度""" - SQL = SQL_TEMPLATES["node_degree"].format( - workspace=self.db.workspace, node_id=node_id - ) + SQL = SQL_TEMPLATES["node_degree"] + params = { + "workspace":self.db.workspace, + "node_id":node_id + } # print(SQL) - res = await self.db.query(SQL) + res = await self.db.query(SQL,params) if res: # print("Node degree",res["degree"]) return res["degree"] @@ -480,12 +483,14 @@ async def edge_degree(self, src_id: str, tgt_id: str) -> int: async def get_node(self, node_id: str) -> Union[dict, None]: """根据节点id获取节点数据""" - SQL = SQL_TEMPLATES["get_node"].format( - workspace=self.db.workspace, node_id=node_id - ) + SQL = SQL_TEMPLATES["get_node"] + params = { + "workspace":self.db.workspace, + "node_id":node_id + } # print(self.db.workspace, node_id) # print(SQL) - res = await self.db.query(SQL) + res = await self.db.query(SQL,params) if res: # print("Get node!",self.db.workspace, node_id,res) return res @@ -497,12 +502,13 @@ async def get_edge( self, source_node_id: str, target_node_id: str ) -> Union[dict, None]: """根据源和目标节点id获取边""" - SQL = SQL_TEMPLATES["get_edge"].format( - workspace=self.db.workspace, - source_node_id=source_node_id, - target_node_id=target_node_id, - ) - res = await self.db.query(SQL) + SQL = SQL_TEMPLATES["get_edge"] + params = { + "workspace":self.db.workspace, + "source_node_id":source_node_id, + "target_node_id":target_node_id + } + res = await self.db.query(SQL,params) if res: # print("Get edge!",self.db.workspace, source_node_id, target_node_id,res[0]) return res @@ -513,10 +519,12 @@ async def get_edge( async def get_node_edges(self, source_node_id: str): """根据节点id获取节点的所有边""" if await self.has_node(source_node_id): - SQL = SQL_TEMPLATES["get_node_edges"].format( - workspace=self.db.workspace, source_node_id=source_node_id - ) - res = await self.db.query(sql=SQL, multirows=True) + SQL = SQL_TEMPLATES["get_node_edges"] + params = { + "workspace":self.db.workspace, + "source_node_id":source_node_id + } + res = await self.db.query(sql=SQL, params=params, multirows=True) if res: data = [(i["source_name"], i["target_name"]) for i in res] # print("Get node edge!",self.db.workspace, source_node_id,data) @@ -524,8 +532,22 @@ async def get_node_edges(self, source_node_id: str): else: # print("Node Edge not exist!",self.db.workspace, source_node_id) return [] + + async def get_all_nodes(self, limit: int): + """查询所有节点""" + SQL = SQL_TEMPLATES["get_all_nodes"] + params = {"workspace":self.db.workspace, "limit":str(limit)} + res = await self.db.query(sql=SQL,params=params, multirows=True) + if res: + return res - + async def get_all_edges(self, limit: int): + """查询所有边""" + SQL = SQL_TEMPLATES["get_all_edges"] + params = {"workspace":self.db.workspace, "limit":str(limit)} + res = await self.db.query(sql=SQL,params=params, multirows=True) + if res: + return res N_T = { "full_docs": "LIGHTRAG_DOC_FULL", "text_chunks": "LIGHTRAG_DOC_CHUNKS", @@ -619,82 +641,96 @@ async def get_node_edges(self, source_node_id: str): SQL_TEMPLATES = { # SQL for KVStorage - "get_by_id_full_docs": "select ID,NVL(content,'') as content from LIGHTRAG_DOC_FULL where workspace='{workspace}' and ID='{id}'", - "get_by_id_text_chunks": "select ID,TOKENS,NVL(content,'') as content,CHUNK_ORDER_INDEX,FULL_DOC_ID from LIGHTRAG_DOC_CHUNKS where workspace='{workspace}' and ID='{id}'", - "get_by_ids_full_docs": "select ID,NVL(content,'') as content from LIGHTRAG_DOC_FULL where workspace='{workspace}' and ID in ({ids})", - "get_by_ids_text_chunks": "select ID,TOKENS,NVL(content,'') as content,CHUNK_ORDER_INDEX,FULL_DOC_ID from LIGHTRAG_DOC_CHUNKS where workspace='{workspace}' and ID in ({ids})", - "filter_keys": "select id from {table_name} where workspace='{workspace}' and id in ({ids})", + "get_by_id_full_docs": "select ID,NVL(content,'') as content from LIGHTRAG_DOC_FULL where workspace=:workspace and ID=:id", + "get_by_id_text_chunks": "select ID,TOKENS,NVL(content,'') as content,CHUNK_ORDER_INDEX,FULL_DOC_ID from LIGHTRAG_DOC_CHUNKS where workspace=:workspace and ID=:id", + "get_by_ids_full_docs": "select ID,NVL(content,'') as content from LIGHTRAG_DOC_FULL where workspace=:workspace and ID in ({ids})", + "get_by_ids_text_chunks": "select ID,TOKENS,NVL(content,'') as content,CHUNK_ORDER_INDEX,FULL_DOC_ID from LIGHTRAG_DOC_CHUNKS where workspace=:workspace and ID in ({ids})", + "filter_keys": "select id from {table_name} where workspace=:workspace and id in ({ids})", "merge_doc_full": """ MERGE INTO LIGHTRAG_DOC_FULL a USING DUAL - ON (a.id = '{check_id}') + ON (a.id = :check_id) WHEN NOT MATCHED THEN - INSERT(id,content,workspace) values(:1,:2,:3) + INSERT(id,content,workspace) values(:id,:content,:workspace) """, "merge_chunk": """MERGE INTO LIGHTRAG_DOC_CHUNKS a USING DUAL - ON (a.id = '{check_id}') + ON (a.id = :check_id) WHEN NOT MATCHED THEN INSERT(id,content,workspace,tokens,chunk_order_index,full_doc_id,content_vector) - values (:1,:2,:3,:4,:5,:6,:7) """, + values (:id,:content,:workspace,:tokens,:chunk_order_index,:full_doc_id,:content_vector) """, # SQL for VectorStorage "entities": """SELECT name as entity_name FROM - (SELECT id,name,VECTOR_DISTANCE(content_vector,vector('[{embedding_string}]',{dimension},{dtype}),COSINE) as distance - FROM LIGHTRAG_GRAPH_NODES WHERE workspace='{workspace}') - WHERE distance>{better_than_threshold} ORDER BY distance ASC FETCH FIRST {top_k} ROWS ONLY""", + (SELECT id,name,VECTOR_DISTANCE(content_vector,vector(:embedding_string,{dimension},{dtype}),COSINE) as distance + FROM LIGHTRAG_GRAPH_NODES WHERE workspace=:workspace) + WHERE distance>:better_than_threshold ORDER BY distance ASC FETCH FIRST :top_k ROWS ONLY""", "relationships": """SELECT source_name as src_id, target_name as tgt_id FROM - (SELECT id,source_name,target_name,VECTOR_DISTANCE(content_vector,vector('[{embedding_string}]',{dimension},{dtype}),COSINE) as distance - FROM LIGHTRAG_GRAPH_EDGES WHERE workspace='{workspace}') - WHERE distance>{better_than_threshold} ORDER BY distance ASC FETCH FIRST {top_k} ROWS ONLY""", + (SELECT id,source_name,target_name,VECTOR_DISTANCE(content_vector,vector(:embedding_string,{dimension},{dtype}),COSINE) as distance + FROM LIGHTRAG_GRAPH_EDGES WHERE workspace=:workspace) + WHERE distance>:better_than_threshold ORDER BY distance ASC FETCH FIRST :top_k ROWS ONLY""", "chunks": """SELECT id FROM - (SELECT id,VECTOR_DISTANCE(content_vector,vector('[{embedding_string}]',{dimension},{dtype}),COSINE) as distance - FROM LIGHTRAG_DOC_CHUNKS WHERE workspace='{workspace}') - WHERE distance>{better_than_threshold} ORDER BY distance ASC FETCH FIRST {top_k} ROWS ONLY""", + (SELECT id,VECTOR_DISTANCE(content_vector,vector(:embedding_string,{dimension},{dtype}),COSINE) as distance + FROM LIGHTRAG_DOC_CHUNKS WHERE workspace=:workspace) + WHERE distance>:better_than_threshold ORDER BY distance ASC FETCH FIRST :top_k ROWS ONLY""", # SQL for GraphStorage "has_node": """SELECT * FROM GRAPH_TABLE (lightrag_graph MATCH (a) - WHERE a.workspace='{workspace}' AND a.name='{node_id}' + WHERE a.workspace=:workspace AND a.name=:node_id COLUMNS (a.name))""", "has_edge": """SELECT * FROM GRAPH_TABLE (lightrag_graph MATCH (a) -[e]-> (b) - WHERE e.workspace='{workspace}' and a.workspace='{workspace}' and b.workspace='{workspace}' - AND a.name='{source_node_id}' AND b.name='{target_node_id}' + WHERE e.workspace=:workspace and a.workspace=:workspace and b.workspace=:workspace + AND a.name=:source_node_id AND b.name=:target_node_id COLUMNS (e.source_name,e.target_name) )""", "node_degree": """SELECT count(1) as degree FROM GRAPH_TABLE (lightrag_graph MATCH (a)-[e]->(b) - WHERE a.workspace='{workspace}' and a.workspace='{workspace}' and b.workspace='{workspace}' - AND a.name='{node_id}' or b.name = '{node_id}' + WHERE a.workspace=:workspace and a.workspace=:workspace and b.workspace=:workspace + AND a.name=:node_id or b.name = :node_id COLUMNS (a.name))""", "get_node": """SELECT t1.name,t2.entity_type,t2.source_chunk_id as source_id,NVL(t2.description,'') AS description FROM GRAPH_TABLE (lightrag_graph MATCH (a) - WHERE a.workspace='{workspace}' AND a.name='{node_id}' + WHERE a.workspace=:workspace AND a.name=:node_id COLUMNS (a.name) ) t1 JOIN LIGHTRAG_GRAPH_NODES t2 on t1.name=t2.name - WHERE t2.workspace='{workspace}'""", + WHERE t2.workspace=:workspace""", "get_edge": """SELECT t1.source_id,t2.weight,t2.source_chunk_id as source_id,t2.keywords, NVL(t2.description,'') AS description,NVL(t2.KEYWORDS,'') AS keywords FROM GRAPH_TABLE (lightrag_graph MATCH (a)-[e]->(b) - WHERE e.workspace='{workspace}' and a.workspace='{workspace}' and b.workspace='{workspace}' - AND a.name='{source_node_id}' and b.name = '{target_node_id}' + WHERE e.workspace=:workspace and a.workspace=:workspace and b.workspace=:workspace + AND a.name=:source_node_id and b.name = :target_node_id COLUMNS (e.id,a.name as source_id) ) t1 JOIN LIGHTRAG_GRAPH_EDGES t2 on t1.id=t2.id""", "get_node_edges": """SELECT source_name,target_name FROM GRAPH_TABLE (lightrag_graph MATCH (a)-[e]->(b) - WHERE e.workspace='{workspace}' and a.workspace='{workspace}' and b.workspace='{workspace}' - AND a.name='{source_node_id}' + WHERE e.workspace=:workspace and a.workspace=:workspace and b.workspace=:workspace + AND a.name=:source_node_id COLUMNS (a.name as source_name,b.name as target_name))""", "merge_node": """MERGE INTO LIGHTRAG_GRAPH_NODES a USING DUAL - ON (a.workspace = '{workspace}' and a.name='{name}' and a.source_chunk_id='{source_chunk_id}') + ON (a.workspace = :workspace and a.name=:name and a.source_chunk_id=:source_chunk_id) WHEN NOT MATCHED THEN INSERT(workspace,name,entity_type,description,source_chunk_id,content,content_vector) - values (:1,:2,:3,:4,:5,:6,:7) """, + values (:workspace,:name,:entity_type,:description,:source_chunk_id,:content,:content_vector) """, "merge_edge": """MERGE INTO LIGHTRAG_GRAPH_EDGES a USING DUAL - ON (a.workspace = '{workspace}' and a.source_name='{source_name}' and a.target_name='{target_name}' and a.source_chunk_id='{source_chunk_id}') + ON (a.workspace = :workspace and a.source_name=:source_name and a.target_name=:target_name and a.source_chunk_id=:source_chunk_id) WHEN NOT MATCHED THEN INSERT(workspace,source_name,target_name,weight,keywords,description,source_chunk_id,content,content_vector) - values (:1,:2,:3,:4,:5,:6,:7,:8,:9) """, + values (:workspace,:source_name,:target_name,:weight,:keywords,:description,:source_chunk_id,:content,:content_vector) """, + "get_all_nodes":"""SELECT t1.name as id,t1.entity_type as label,t1.DESCRIPTION,t2.content + FROM LIGHTRAG_GRAPH_NODES t1 + LEFT JOIN LIGHTRAG_DOC_CHUNKS t2 on t1.source_chunk_id=t2.id + WHERE t1.workspace=:workspace + order by t1.CREATETIME DESC + fetch first :limit rows only + """, + "get_all_edges":"""SELECT t1.id,t1.keywords as label,t1.keywords, t1.source_name as source, t1.target_name as target, + t1.weight,t1.DESCRIPTION,t2.content + FROM LIGHTRAG_GRAPH_EDGES t1 + LEFT JOIN LIGHTRAG_DOC_CHUNKS t2 on t1.source_chunk_id=t2.id + WHERE t1.workspace=:workspace + order by t1.CREATETIME DESC + fetch first :limit rows only""" } From e5f2aa3a304bce093b1a1c3d9d59dc8753952d27 Mon Sep 17 00:00:00 2001 From: tmuife <43266626@qq.com> Date: Mon, 18 Nov 2024 13:52:49 +0800 Subject: [PATCH 191/258] use pre-commit reformat --- lightrag/kg/oracle_impl.py | 176 ++++++++++++++++++------------------- 1 file changed, 87 insertions(+), 89 deletions(-) diff --git a/lightrag/kg/oracle_impl.py b/lightrag/kg/oracle_impl.py index fd8bf536..b46d36d8 100644 --- a/lightrag/kg/oracle_impl.py +++ b/lightrag/kg/oracle_impl.py @@ -114,7 +114,9 @@ async def check_tables(self): logger.info("Finished check all tables in Oracle database") - async def query(self, sql: str, params: dict = None, multirows: bool = False) -> Union[dict, None]: + async def query( + self, sql: str, params: dict = None, multirows: bool = False + ) -> Union[dict, None]: async with self.pool.acquire() as connection: connection.inputtypehandler = self.input_type_handler connection.outputtypehandler = self.output_type_handler @@ -174,9 +176,9 @@ def __post_init__(self): async def get_by_id(self, id: str) -> Union[dict, None]: """根据 id 获取 doc_full 数据.""" SQL = SQL_TEMPLATES["get_by_id_" + self.namespace] - params = {"workspace":self.db.workspace, "id":id} + params = {"workspace": self.db.workspace, "id": id} # print("get_by_id:"+SQL) - res = await self.db.query(SQL,params) + res = await self.db.query(SQL, params) if res: data = res # {"data":res} # print (data) @@ -187,11 +189,13 @@ async def get_by_id(self, id: str) -> Union[dict, None]: # Query by id async def get_by_ids(self, ids: list[str], fields=None) -> Union[list[dict], None]: """根据 id 获取 doc_chunks 数据""" - SQL = SQL_TEMPLATES["get_by_ids_" + self.namespace].format(ids=",".join([f"'{id}'" for id in ids])) - params = {"workspace":self.db.workspace} - #print("get_by_ids:"+SQL) - #print(params) - res = await self.db.query(SQL,params, multirows=True) + SQL = SQL_TEMPLATES["get_by_ids_" + self.namespace].format( + ids=",".join([f"'{id}'" for id in ids]) + ) + params = {"workspace": self.db.workspace} + # print("get_by_ids:"+SQL) + # print(params) + res = await self.db.query(SQL, params, multirows=True) if res: data = res # [{"data":i} for i in res] # print(data) @@ -201,16 +205,17 @@ async def get_by_ids(self, ids: list[str], fields=None) -> Union[list[dict], Non async def filter_keys(self, keys: list[str]) -> set[str]: """过滤掉重复内容""" - SQL = SQL_TEMPLATES["filter_keys"].format(table_name=N_T[self.namespace], - ids=",".join([f"'{id}'" for id in keys])) - params = {"workspace":self.db.workspace} + SQL = SQL_TEMPLATES["filter_keys"].format( + table_name=N_T[self.namespace], ids=",".join([f"'{id}'" for id in keys]) + ) + params = {"workspace": self.db.workspace} try: await self.db.query(SQL, params) except Exception as e: logger.error(f"Oracle database error: {e}") print(SQL) print(params) - res = await self.db.query(SQL, params,multirows=True) + res = await self.db.query(SQL, params, multirows=True) data = None if res: exist_keys = [key["id"] for key in res] @@ -248,15 +253,16 @@ async def upsert(self, data: dict[str, dict]): # print(list_data) for item in list_data: merge_sql = SQL_TEMPLATES["merge_chunk"] - data = {"check_id":item["__id__"], - "id":item["__id__"], - "content":item["content"], - "workspace":self.db.workspace, - "tokens":item["tokens"], - "chunk_order_index":item["chunk_order_index"], - "full_doc_id":item["full_doc_id"], - "content_vector":item["__vector__"] - } + data = { + "check_id": item["__id__"], + "id": item["__id__"], + "content": item["content"], + "workspace": self.db.workspace, + "tokens": item["tokens"], + "chunk_order_index": item["chunk_order_index"], + "full_doc_id": item["full_doc_id"], + "content_vector": item["__vector__"], + } # print(merge_sql) await self.db.execute(merge_sql, data) @@ -265,11 +271,11 @@ async def upsert(self, data: dict[str, dict]): # values.clear() merge_sql = SQL_TEMPLATES["merge_doc_full"] data = { - "check_id":k, - "id":k, - "content":v["content"], - "workspace":self.db.workspace - } + "check_id": k, + "id": k, + "content": v["content"], + "workspace": self.db.workspace, + } # print(merge_sql) await self.db.execute(merge_sql, data) return left_data @@ -301,7 +307,7 @@ async def query(self, query: str, top_k=5) -> Union[dict, list[dict]]: # 转换精度 dtype = str(embedding.dtype).upper() dimension = embedding.shape[0] - embedding_string = "["+", ".join(map(str, embedding.tolist()))+"]" + embedding_string = "[" + ", ".join(map(str, embedding.tolist())) + "]" SQL = SQL_TEMPLATES[self.namespace].format(dimension=dimension, dtype=dtype) params = { @@ -309,9 +315,9 @@ async def query(self, query: str, top_k=5) -> Union[dict, list[dict]]: "workspace": self.db.workspace, "top_k": top_k, "better_than_threshold": self.cosine_better_than_threshold, - } + } # print(SQL) - results = await self.db.query(SQL,params=params, multirows=True) + results = await self.db.query(SQL, params=params, multirows=True) # print("vector search result:",results) return results @@ -346,18 +352,18 @@ async def upsert_node(self, node_id: str, node_data: dict[str, str]): ) embeddings = np.concatenate(embeddings_list) content_vector = embeddings[0] - merge_sql = SQL_TEMPLATES["merge_node"] + merge_sql = SQL_TEMPLATES["merge_node"] data = { - "workspace":self.db.workspace, - "name":entity_name, - "entity_type":entity_type, - "description":description, - "source_chunk_id":source_id, - "content":content, - "content_vector":content_vector - } + "workspace": self.db.workspace, + "name": entity_name, + "entity_type": entity_type, + "description": description, + "source_chunk_id": source_id, + "content": content, + "content_vector": content_vector, + } # print(merge_sql) - await self.db.execute(merge_sql,data) + await self.db.execute(merge_sql, data) # self._graph.add_node(node_id, **node_data) async def upsert_edge( @@ -371,7 +377,9 @@ async def upsert_edge( keywords = edge_data["keywords"] description = edge_data["description"] source_chunk_id = edge_data["source_id"] - logger.debug(f"source_name:{source_name}, target_name:{target_name}, keywords: {keywords}") + logger.debug( + f"source_name:{source_name}, target_name:{target_name}, keywords: {keywords}" + ) content = keywords + source_name + target_name + description contents = [content] @@ -384,20 +392,20 @@ async def upsert_edge( ) embeddings = np.concatenate(embeddings_list) content_vector = embeddings[0] - merge_sql = SQL_TEMPLATES["merge_edge"] + merge_sql = SQL_TEMPLATES["merge_edge"] data = { - "workspace":self.db.workspace, - "source_name":source_name, - "target_name":target_name, - "weight":weight, - "keywords":keywords, - "description":description, - "source_chunk_id":source_chunk_id, - "content":content, - "content_vector":content_vector - } + "workspace": self.db.workspace, + "source_name": source_name, + "target_name": target_name, + "weight": weight, + "keywords": keywords, + "description": description, + "source_chunk_id": source_chunk_id, + "content": content, + "content_vector": content_vector, + } # print(merge_sql) - await self.db.execute(merge_sql,data) + await self.db.execute(merge_sql, data) # self._graph.add_edge(source_node_id, target_node_id, **edge_data) async def embed_nodes(self, algorithm: str) -> tuple[np.ndarray, list[str]]: @@ -428,13 +436,10 @@ async def index_done_callback(self): async def has_node(self, node_id: str) -> bool: """根据节点id检查节点是否存在""" SQL = SQL_TEMPLATES["has_node"] - params = { - "workspace":self.db.workspace, - "node_id":node_id - } + params = {"workspace": self.db.workspace, "node_id": node_id} # print(SQL) # print(self.db.workspace, node_id) - res = await self.db.query(SQL,params) + res = await self.db.query(SQL, params) if res: # print("Node exist!",res) return True @@ -446,12 +451,12 @@ async def has_edge(self, source_node_id: str, target_node_id: str) -> bool: """根据源和目标节点id检查边是否存在""" SQL = SQL_TEMPLATES["has_edge"] params = { - "workspace":self.db.workspace, - "source_node_id":source_node_id, - "target_node_id":target_node_id - } + "workspace": self.db.workspace, + "source_node_id": source_node_id, + "target_node_id": target_node_id, + } # print(SQL) - res = await self.db.query(SQL,params) + res = await self.db.query(SQL, params) if res: # print("Edge exist!",res) return True @@ -462,12 +467,9 @@ async def has_edge(self, source_node_id: str, target_node_id: str) -> bool: async def node_degree(self, node_id: str) -> int: """根据节点id获取节点的度""" SQL = SQL_TEMPLATES["node_degree"] - params = { - "workspace":self.db.workspace, - "node_id":node_id - } + params = {"workspace": self.db.workspace, "node_id": node_id} # print(SQL) - res = await self.db.query(SQL,params) + res = await self.db.query(SQL, params) if res: # print("Node degree",res["degree"]) return res["degree"] @@ -484,13 +486,10 @@ async def edge_degree(self, src_id: str, tgt_id: str) -> int: async def get_node(self, node_id: str) -> Union[dict, None]: """根据节点id获取节点数据""" SQL = SQL_TEMPLATES["get_node"] - params = { - "workspace":self.db.workspace, - "node_id":node_id - } + params = {"workspace": self.db.workspace, "node_id": node_id} # print(self.db.workspace, node_id) # print(SQL) - res = await self.db.query(SQL,params) + res = await self.db.query(SQL, params) if res: # print("Get node!",self.db.workspace, node_id,res) return res @@ -504,11 +503,11 @@ async def get_edge( """根据源和目标节点id获取边""" SQL = SQL_TEMPLATES["get_edge"] params = { - "workspace":self.db.workspace, - "source_node_id":source_node_id, - "target_node_id":target_node_id - } - res = await self.db.query(SQL,params) + "workspace": self.db.workspace, + "source_node_id": source_node_id, + "target_node_id": target_node_id, + } + res = await self.db.query(SQL, params) if res: # print("Get edge!",self.db.workspace, source_node_id, target_node_id,res[0]) return res @@ -520,10 +519,7 @@ async def get_node_edges(self, source_node_id: str): """根据节点id获取节点的所有边""" if await self.has_node(source_node_id): SQL = SQL_TEMPLATES["get_node_edges"] - params = { - "workspace":self.db.workspace, - "source_node_id":source_node_id - } + params = {"workspace": self.db.workspace, "source_node_id": source_node_id} res = await self.db.query(sql=SQL, params=params, multirows=True) if res: data = [(i["source_name"], i["target_name"]) for i in res] @@ -532,22 +528,24 @@ async def get_node_edges(self, source_node_id: str): else: # print("Node Edge not exist!",self.db.workspace, source_node_id) return [] - + async def get_all_nodes(self, limit: int): """查询所有节点""" SQL = SQL_TEMPLATES["get_all_nodes"] - params = {"workspace":self.db.workspace, "limit":str(limit)} - res = await self.db.query(sql=SQL,params=params, multirows=True) + params = {"workspace": self.db.workspace, "limit": str(limit)} + res = await self.db.query(sql=SQL, params=params, multirows=True) if res: return res async def get_all_edges(self, limit: int): """查询所有边""" SQL = SQL_TEMPLATES["get_all_edges"] - params = {"workspace":self.db.workspace, "limit":str(limit)} - res = await self.db.query(sql=SQL,params=params, multirows=True) + params = {"workspace": self.db.workspace, "limit": str(limit)} + res = await self.db.query(sql=SQL, params=params, multirows=True) if res: return res + + N_T = { "full_docs": "LIGHTRAG_DOC_FULL", "text_chunks": "LIGHTRAG_DOC_CHUNKS", @@ -719,18 +717,18 @@ async def get_all_edges(self, limit: int): WHEN NOT MATCHED THEN INSERT(workspace,source_name,target_name,weight,keywords,description,source_chunk_id,content,content_vector) values (:workspace,:source_name,:target_name,:weight,:keywords,:description,:source_chunk_id,:content,:content_vector) """, - "get_all_nodes":"""SELECT t1.name as id,t1.entity_type as label,t1.DESCRIPTION,t2.content + "get_all_nodes": """SELECT t1.name as id,t1.entity_type as label,t1.DESCRIPTION,t2.content FROM LIGHTRAG_GRAPH_NODES t1 LEFT JOIN LIGHTRAG_DOC_CHUNKS t2 on t1.source_chunk_id=t2.id WHERE t1.workspace=:workspace order by t1.CREATETIME DESC fetch first :limit rows only """, - "get_all_edges":"""SELECT t1.id,t1.keywords as label,t1.keywords, t1.source_name as source, t1.target_name as target, + "get_all_edges": """SELECT t1.id,t1.keywords as label,t1.keywords, t1.source_name as source, t1.target_name as target, t1.weight,t1.DESCRIPTION,t2.content FROM LIGHTRAG_GRAPH_EDGES t1 LEFT JOIN LIGHTRAG_DOC_CHUNKS t2 on t1.source_chunk_id=t2.id WHERE t1.workspace=:workspace order by t1.CREATETIME DESC - fetch first :limit rows only""" + fetch first :limit rows only""", } From 8cc98e13ace4b70984dc346eafdc98dad9ea3be4 Mon Sep 17 00:00:00 2001 From: WinstonCHEN1 <1281838223@qq.com> Date: Mon, 18 Nov 2024 14:24:04 -0800 Subject: [PATCH 192/258] fix:error working directory name in Step_1.py --- reproduce/Step_1.py | 2 +- 1 file changed, 1 insertion(+), 1 deletion(-) diff --git a/reproduce/Step_1.py b/reproduce/Step_1.py index 43c44056..e318c145 100644 --- a/reproduce/Step_1.py +++ b/reproduce/Step_1.py @@ -24,7 +24,7 @@ def insert_text(rag, file_path): cls = "agriculture" -WORKING_DIR = "../{cls}" +WORKING_DIR = f"../{cls}" if not os.path.exists(WORKING_DIR): os.mkdir(WORKING_DIR) From 92fe18b2ea5eeb9c2eca9ba31ab3b4f351dc9e79 Mon Sep 17 00:00:00 2001 From: luoyifan <1625370020@qq.com> Date: Tue, 19 Nov 2024 14:02:38 +0800 Subject: [PATCH 193/258] A more robust approach for result to json. --- lightrag/operate.py | 6 +++--- 1 file changed, 3 insertions(+), 3 deletions(-) diff --git a/lightrag/operate.py b/lightrag/operate.py index b11e14fe..eb600c4b 100644 --- a/lightrag/operate.py +++ b/lightrag/operate.py @@ -418,7 +418,7 @@ async def local_query( .replace("model", "") .strip() ) - result = "{" + result.split("{")[1].split("}")[0] + "}" + result = "{" + result.split("{")[-1].split("}")[0] + "}" keywords_data = json.loads(result) keywords = keywords_data.get("low_level_keywords", []) @@ -691,7 +691,7 @@ async def global_query( .replace("model", "") .strip() ) - result = "{" + result.split("{")[1].split("}")[0] + "}" + result = "{" + result.split("{")[-1].split("}")[0] + "}" keywords_data = json.loads(result) keywords = keywords_data.get("high_level_keywords", []) @@ -940,7 +940,7 @@ async def hybrid_query( .replace("model", "") .strip() ) - result = "{" + result.split("{")[1].split("}")[0] + "}" + result = "{" + result.split("{")[-1].split("}")[0] + "}" keywords_data = json.loads(result) hl_keywords = keywords_data.get("high_level_keywords", []) ll_keywords = keywords_data.get("low_level_keywords", []) From ce7f524174dea7e0d9164fd4d8eacdce29ea2f61 Mon Sep 17 00:00:00 2001 From: LarFii <834462287@qq.com> Date: Tue, 19 Nov 2024 16:52:26 +0800 Subject: [PATCH 194/258] Update --- README.md | 8 ++++++-- lightrag/kg/neo4j_impl.py | 2 +- lightrag/lightrag.py | 3 +-- 3 files changed, 8 insertions(+), 5 deletions(-) diff --git a/README.md b/README.md index b62f01a1..d7e3d418 100644 --- a/README.md +++ b/README.md @@ -8,7 +8,9 @@ + +

@@ -35,8 +37,10 @@ This repository hosts the code of LightRAG. The structure of this code is based ## Algorithm Flowchart -![LightRAG_Self excalidraw](https://github.com/user-attachments/assets/aa5c4892-2e44-49e6-a116-2403ed80a1a3) - +![LightRAG Indexing Flowchart](https://learnopencv.com/wp-content/uploads/2024/11/LightRAG-VectorDB-Json-KV-Store-Indexing-Flowchart-scaled.jpg) +*Figure 1: LightRAG Indexing Flowchart* +![LightRAG Retrieval and Querying Flowchart](https://learnopencv.com/wp-content/uploads/2024/11/LightRAG-Querying-Flowchart-Dual-Level-Retrieval-Generation-Knowledge-Graphs-scaled.jpg) +*Figure 2: LightRAG Retrieval and Querying Flowchart* ## Install diff --git a/lightrag/kg/neo4j_impl.py b/lightrag/kg/neo4j_impl.py index 32bfbe2e..f9fcb46d 100644 --- a/lightrag/kg/neo4j_impl.py +++ b/lightrag/kg/neo4j_impl.py @@ -214,7 +214,7 @@ async def get_node_edges(self, source_node_id: str) -> List[Tuple[str, str]]: neo4jExceptions.ServiceUnavailable, neo4jExceptions.TransientError, neo4jExceptions.WriteServiceUnavailable, - neo4jExceptions.ClientError + neo4jExceptions.ClientError, ) ), ) diff --git a/lightrag/lightrag.py b/lightrag/lightrag.py index ce27e76d..7fafadcf 100644 --- a/lightrag/lightrag.py +++ b/lightrag/lightrag.py @@ -173,8 +173,7 @@ def __post_init__(self): embedding_func=self.embedding_func, ) self.chunk_entity_relation_graph = self.graph_storage_cls( - namespace="chunk_entity_relation", - global_config=asdict(self) + namespace="chunk_entity_relation", global_config=asdict(self) ) #### # add embedding func by walter over From bd62b17f96ef2860c075fe1bd383f6b855033573 Mon Sep 17 00:00:00 2001 From: LarFii <834462287@qq.com> Date: Tue, 19 Nov 2024 16:54:14 +0800 Subject: [PATCH 195/258] Update README.md --- README.md | 6 ++++-- 1 file changed, 4 insertions(+), 2 deletions(-) diff --git a/README.md b/README.md index d7e3d418..36e1b2a9 100644 --- a/README.md +++ b/README.md @@ -9,8 +9,6 @@ - -

@@ -18,6 +16,10 @@

+

+ + +

This repository hosts the code of LightRAG. The structure of this code is based on [nano-graphrag](https://github.com/gusye1234/nano-graphrag). ![LightRAG Diagram](https://i-blog.csdnimg.cn/direct/b2aaf634151b4706892693ffb43d9093.png) From f86cae2a6ba4ec5f7f6bb9ef874dd930e591d70f Mon Sep 17 00:00:00 2001 From: zrguo <49157727+LarFii@users.noreply.github.com> Date: Tue, 19 Nov 2024 16:57:20 +0800 Subject: [PATCH 196/258] Update README.md --- README.md | 1 + 1 file changed, 1 insertion(+) diff --git a/README.md b/README.md index 36e1b2a9..21bc1e7a 100644 --- a/README.md +++ b/README.md @@ -26,6 +26,7 @@ This repository hosts the code of LightRAG. The structure of this code is based ## 🎉 News +- [x] [2024.11.19]🎯📢We have added a detailed blog link introducing LightRAG on [LearnOpenCV](https://learnopencv.com/lightrag). Many thanks to the blog author! - [x] [2024.11.12]🎯📢You can [use Oracle Database 23ai for all storage types (kv/vector/graph)](https://github.com/HKUDS/LightRAG/blob/main/examples/lightrag_oracle_demo.py) now. - [x] [2024.11.11]🎯📢LightRAG now supports [deleting entities by their names](https://github.com/HKUDS/LightRAG?tab=readme-ov-file#delete-entity). - [x] [2024.11.09]🎯📢Introducing the [LightRAG Gui](https://lightrag-gui.streamlit.app), which allows you to insert, query, visualize, and download LightRAG knowledge. From c0b040fe1b78572230932f3a2add5525b0d672f8 Mon Sep 17 00:00:00 2001 From: Magic_yuan <72277650+magicyuan876@users.noreply.github.com> Date: Thu, 21 Nov 2024 10:37:09 +0800 Subject: [PATCH 197/258] =?UTF-8?q?=E4=BD=BF=E7=94=A8AzureOpenAI=E5=AE=9E?= =?UTF-8?q?=E7=8E=B0=EF=BC=8C=E6=94=AF=E6=8C=81RPM/TPM=E9=99=90=E5=88=B6?= =?UTF-8?q?=E3=80=82=E4=BF=AE=E5=A4=8D=E5=8E=9F=E5=85=88429=E5=93=8D?= =?UTF-8?q?=E5=BA=94=E5=8D=B3=E6=8A=9B=E5=87=BA=E5=BC=82=E5=B8=B8=E7=9A=84?= =?UTF-8?q?=E9=97=AE=E9=A2=98?= MIME-Version: 1.0 Content-Type: text/plain; charset=UTF-8 Content-Transfer-Encoding: 8bit --- examples/lightrag_azure_openai_demo.py | 65 +++++++++++--------------- 1 file changed, 28 insertions(+), 37 deletions(-) diff --git a/examples/lightrag_azure_openai_demo.py b/examples/lightrag_azure_openai_demo.py index e29a6a9d..98d7c0e0 100644 --- a/examples/lightrag_azure_openai_demo.py +++ b/examples/lightrag_azure_openai_demo.py @@ -6,6 +6,7 @@ from dotenv import load_dotenv import aiohttp import logging +from openai import AzureOpenAI logging.basicConfig(level=logging.INFO) @@ -32,11 +33,12 @@ async def llm_model_func( prompt, system_prompt=None, history_messages=[], **kwargs ) -> str: - headers = { - "Content-Type": "application/json", - "api-key": AZURE_OPENAI_API_KEY, - } - endpoint = f"{AZURE_OPENAI_ENDPOINT}openai/deployments/{AZURE_OPENAI_DEPLOYMENT}/chat/completions?api-version={AZURE_OPENAI_API_VERSION}" + + client = AzureOpenAI( + api_key=AZURE_OPENAI_API_KEY, + api_version=AZURE_OPENAI_API_VERSION, + azure_endpoint=AZURE_OPENAI_ENDPOINT + ) messages = [] if system_prompt: @@ -45,41 +47,30 @@ async def llm_model_func( messages.extend(history_messages) messages.append({"role": "user", "content": prompt}) - payload = { - "messages": messages, - "temperature": kwargs.get("temperature", 0), - "top_p": kwargs.get("top_p", 1), - "n": kwargs.get("n", 1), - } - - async with aiohttp.ClientSession() as session: - async with session.post(endpoint, headers=headers, json=payload) as response: - if response.status != 200: - raise ValueError( - f"Request failed with status {response.status}: {await response.text()}" - ) - result = await response.json() - return result["choices"][0]["message"]["content"] + chat_completion = client.chat.completions.create( + model=AZURE_OPENAI_DEPLOYMENT, # model = "deployment_name". + messages=messages, + temperature=kwargs.get("temperature", 0), + top_p=kwargs.get("top_p", 1), + n=kwargs.get("n", 1), + ) + return chat_completion.choices[0].message.content async def embedding_func(texts: list[str]) -> np.ndarray: - headers = { - "Content-Type": "application/json", - "api-key": AZURE_OPENAI_API_KEY, - } - endpoint = f"{AZURE_OPENAI_ENDPOINT}openai/deployments/{AZURE_EMBEDDING_DEPLOYMENT}/embeddings?api-version={AZURE_EMBEDDING_API_VERSION}" - - payload = {"input": texts} - - async with aiohttp.ClientSession() as session: - async with session.post(endpoint, headers=headers, json=payload) as response: - if response.status != 200: - raise ValueError( - f"Request failed with status {response.status}: {await response.text()}" - ) - result = await response.json() - embeddings = [item["embedding"] for item in result["data"]] - return np.array(embeddings) + + client = AzureOpenAI( + api_key=AZURE_OPENAI_API_KEY, + api_version=AZURE_EMBEDDING_API_VERSION, + azure_endpoint=AZURE_OPENAI_ENDPOINT + ) + embedding = client.embeddings.create( + model=AZURE_EMBEDDING_DEPLOYMENT, + input=texts + ) + + embeddings = [item.embedding for item in embedding.data] + return np.array(embeddings) async def test_funcs(): From 74fbc8bbf7cdfa60186f5dcf9ff7c23a3451b151 Mon Sep 17 00:00:00 2001 From: zrguo <49157727+LarFii@users.noreply.github.com> Date: Thu, 21 Nov 2024 10:56:15 +0800 Subject: [PATCH 198/258] Update Discord Link --- README.md | 4 ++-- 1 file changed, 2 insertions(+), 2 deletions(-) diff --git a/README.md b/README.md index 21bc1e7a..ecfb0ebc 100644 --- a/README.md +++ b/README.md @@ -17,7 +17,7 @@

- +

@@ -34,7 +34,7 @@ This repository hosts the code of LightRAG. The structure of this code is based - [x] [2024.10.29]🎯📢LightRAG now supports multiple file types, including PDF, DOC, PPT, and CSV via `textract`. - [x] [2024.10.20]🎯📢We’ve added a new feature to LightRAG: Graph Visualization. - [x] [2024.10.18]🎯📢We’ve added a link to a [LightRAG Introduction Video](https://youtu.be/oageL-1I0GE). Thanks to the author! -- [x] [2024.10.17]🎯📢We have created a [Discord channel](https://discord.gg/E4HgTnck)! Welcome to join for sharing and discussions! 🎉🎉 +- [x] [2024.10.17]🎯📢We have created a [Discord channel](https://discord.gg/yF2MmDJyGJ)! Welcome to join for sharing and discussions! 🎉🎉 - [x] [2024.10.16]🎯📢LightRAG now supports [Ollama models](https://github.com/HKUDS/LightRAG?tab=readme-ov-file#quick-start)! - [x] [2024.10.15]🎯📢LightRAG now supports [Hugging Face models](https://github.com/HKUDS/LightRAG?tab=readme-ov-file#quick-start)! From 156611ec7aca7c0aada668690518eb456b97d14e Mon Sep 17 00:00:00 2001 From: zzzcccxx <865637742@qq.com> Date: Thu, 21 Nov 2024 14:35:18 +0800 Subject: [PATCH 199/258] =?UTF-8?q?=E4=BF=AE=E6=94=B9=E4=BA=86relation=5Fc?= =?UTF-8?q?ounts=E8=AE=A1=E6=95=B0=E8=A7=84=E5=88=99?= MIME-Version: 1.0 Content-Type: text/plain; charset=UTF-8 Content-Transfer-Encoding: 8bit --- lightrag/operate.py | 22 +++++++++------------- 1 file changed, 9 insertions(+), 13 deletions(-) diff --git a/lightrag/operate.py b/lightrag/operate.py index eb600c4b..cf236633 100644 --- a/lightrag/operate.py +++ b/lightrag/operate.py @@ -578,24 +578,20 @@ async def _find_most_related_text_unit_from_entities( all_text_units_lookup = {} for index, (this_text_units, this_edges) in enumerate(zip(text_units, edges)): for c_id in this_text_units: - if c_id in all_text_units_lookup: - continue - relation_counts = 0 - if this_edges: # Add check for None edges + if c_id not in all_text_units_lookup: + all_text_units_lookup[c_id] = { + "data": await text_chunks_db.get_by_id(c_id), + "order": index, + "relation_counts": 0, + } + + if this_edges: for e in this_edges: if ( e[1] in all_one_hop_text_units_lookup and c_id in all_one_hop_text_units_lookup[e[1]] ): - relation_counts += 1 - - chunk_data = await text_chunks_db.get_by_id(c_id) - if chunk_data is not None and "content" in chunk_data: # Add content check - all_text_units_lookup[c_id] = { - "data": chunk_data, - "order": index, - "relation_counts": relation_counts, - } + all_text_units_lookup[c_id]["relation_counts"] += 1 # Filter out None values and ensure data has content all_text_units = [ From 2e8768b30195bb5504de8ba3bcd938443c92b3cc Mon Sep 17 00:00:00 2001 From: Magic_yuan <72277650+magicyuan876@users.noreply.github.com> Date: Thu, 21 Nov 2024 18:44:38 +0800 Subject: [PATCH 200/258] Update lightrag_azure_openai_demo.py MIME-Version: 1.0 Content-Type: text/plain; charset=UTF-8 Content-Transfer-Encoding: 8bit 更新代码格式 --- examples/lightrag_azure_openai_demo.py | 14 ++++++-------- 1 file changed, 6 insertions(+), 8 deletions(-) diff --git a/examples/lightrag_azure_openai_demo.py b/examples/lightrag_azure_openai_demo.py index 98d7c0e0..4e134830 100644 --- a/examples/lightrag_azure_openai_demo.py +++ b/examples/lightrag_azure_openai_demo.py @@ -31,13 +31,12 @@ async def llm_model_func( - prompt, system_prompt=None, history_messages=[], **kwargs + prompt, system_prompt=None, history_messages=[], **kwargs ) -> str: - client = AzureOpenAI( - api_key=AZURE_OPENAI_API_KEY, - api_version=AZURE_OPENAI_API_VERSION, - azure_endpoint=AZURE_OPENAI_ENDPOINT + api_key=LLM_AZURE_OPENAI_KEY, + api_version=LLM_AZURE_OPENAI_VERSION, + azure_endpoint=LLM_AZURE_OPENAI_API ) messages = [] @@ -48,7 +47,7 @@ async def llm_model_func( messages.append({"role": "user", "content": prompt}) chat_completion = client.chat.completions.create( - model=AZURE_OPENAI_DEPLOYMENT, # model = "deployment_name". + model=LLM_AZURE_OPENAI_DEPLOYMENT, # model = "deployment_name". messages=messages, temperature=kwargs.get("temperature", 0), top_p=kwargs.get("top_p", 1), @@ -58,7 +57,6 @@ async def llm_model_func( async def embedding_func(texts: list[str]) -> np.ndarray: - client = AzureOpenAI( api_key=AZURE_OPENAI_API_KEY, api_version=AZURE_EMBEDDING_API_VERSION, @@ -68,7 +66,7 @@ async def embedding_func(texts: list[str]) -> np.ndarray: model=AZURE_EMBEDDING_DEPLOYMENT, input=texts ) - + embeddings = [item.embedding for item in embedding.data] return np.array(embeddings) From 9c612833a881ce493cf76245347cc37bc503d3a8 Mon Sep 17 00:00:00 2001 From: Magic_yuan <72277650+magicyuan876@users.noreply.github.com> Date: Thu, 21 Nov 2024 18:49:29 +0800 Subject: [PATCH 201/258] Update lightrag_azure_openai_demo.py --- examples/lightrag_azure_openai_demo.py | 6 +++--- 1 file changed, 3 insertions(+), 3 deletions(-) diff --git a/examples/lightrag_azure_openai_demo.py b/examples/lightrag_azure_openai_demo.py index 4e134830..7073e3cb 100644 --- a/examples/lightrag_azure_openai_demo.py +++ b/examples/lightrag_azure_openai_demo.py @@ -34,9 +34,9 @@ async def llm_model_func( prompt, system_prompt=None, history_messages=[], **kwargs ) -> str: client = AzureOpenAI( - api_key=LLM_AZURE_OPENAI_KEY, - api_version=LLM_AZURE_OPENAI_VERSION, - azure_endpoint=LLM_AZURE_OPENAI_API + api_key=AZURE_OPENAI_API_KEY, + api_version=AZURE_OPENAI_API_VERSION, + azure_endpoint=AZURE_OPENAI_DEPLOYMENT ) messages = [] From 4763bdc272788383980b7be7257a5af110b9ab6b Mon Sep 17 00:00:00 2001 From: Magic_yuan <72277650+magicyuan876@users.noreply.github.com> Date: Thu, 21 Nov 2024 11:11:23 +0000 Subject: [PATCH 202/258] =?UTF-8?q?=E6=9B=B4=E6=96=B0format?= MIME-Version: 1.0 Content-Type: text/plain; charset=UTF-8 Content-Transfer-Encoding: 8bit --- examples/lightrag_azure_openai_demo.py | 14 +++++--------- 1 file changed, 5 insertions(+), 9 deletions(-) diff --git a/examples/lightrag_azure_openai_demo.py b/examples/lightrag_azure_openai_demo.py index 7073e3cb..6a3fafc1 100644 --- a/examples/lightrag_azure_openai_demo.py +++ b/examples/lightrag_azure_openai_demo.py @@ -4,7 +4,6 @@ from lightrag.utils import EmbeddingFunc import numpy as np from dotenv import load_dotenv -import aiohttp import logging from openai import AzureOpenAI @@ -31,12 +30,12 @@ async def llm_model_func( - prompt, system_prompt=None, history_messages=[], **kwargs + prompt, system_prompt=None, history_messages=[], **kwargs ) -> str: client = AzureOpenAI( api_key=AZURE_OPENAI_API_KEY, api_version=AZURE_OPENAI_API_VERSION, - azure_endpoint=AZURE_OPENAI_DEPLOYMENT + azure_endpoint=AZURE_OPENAI_ENDPOINT, ) messages = [] @@ -47,7 +46,7 @@ async def llm_model_func( messages.append({"role": "user", "content": prompt}) chat_completion = client.chat.completions.create( - model=LLM_AZURE_OPENAI_DEPLOYMENT, # model = "deployment_name". + model=AZURE_OPENAI_DEPLOYMENT, # model = "deployment_name". messages=messages, temperature=kwargs.get("temperature", 0), top_p=kwargs.get("top_p", 1), @@ -60,12 +59,9 @@ async def embedding_func(texts: list[str]) -> np.ndarray: client = AzureOpenAI( api_key=AZURE_OPENAI_API_KEY, api_version=AZURE_EMBEDDING_API_VERSION, - azure_endpoint=AZURE_OPENAI_ENDPOINT - ) - embedding = client.embeddings.create( - model=AZURE_EMBEDDING_DEPLOYMENT, - input=texts + azure_endpoint=AZURE_OPENAI_ENDPOINT, ) + embedding = client.embeddings.create(model=AZURE_EMBEDDING_DEPLOYMENT, input=texts) embeddings = [item.embedding for item in embedding.data] return np.array(embeddings) From 9bf140d7cf9f1a60c1240208ce37a94126d5a373 Mon Sep 17 00:00:00 2001 From: lzd <2428183599@qq.com> Date: Fri, 22 Nov 2024 13:59:14 +0800 Subject: [PATCH 203/258] =?UTF-8?q?=E5=88=A0=E9=99=A4Neo4JStorage.has=5Fed?= =?UTF-8?q?ge=E4=B8=AD=E5=AE=9A=E4=B9=89=E7=9A=84=E6=B2=A1=E6=9C=89?= =?UTF-8?q?=E7=94=A8=E5=88=B0=E7=9A=84=E5=90=8C=E6=AD=A5close=E5=87=BD?= =?UTF-8?q?=E6=95=B0?= MIME-Version: 1.0 Content-Type: text/plain; charset=UTF-8 Content-Transfer-Encoding: 8bit --- lightrag/kg/neo4j_impl.py | 3 --- 1 file changed, 3 deletions(-) diff --git a/lightrag/kg/neo4j_impl.py b/lightrag/kg/neo4j_impl.py index f9fcb46d..84efae81 100644 --- a/lightrag/kg/neo4j_impl.py +++ b/lightrag/kg/neo4j_impl.py @@ -86,9 +86,6 @@ async def has_edge(self, source_node_id: str, target_node_id: str) -> bool: ) return single_result["edgeExists"] - def close(self): - self._driver.close() - async def get_node(self, node_id: str) -> Union[dict, None]: async with self._driver.session() as session: entity_name_label = node_id.strip('"') From 123811d651e2e687cb191e4ede02c79430a881f6 Mon Sep 17 00:00:00 2001 From: =?UTF-8?q?=E2=9C=A8Data=20Intelligence=20Lab=40HKU=E2=9C=A8?= <118165258+HKUDS@users.noreply.github.com> Date: Fri, 22 Nov 2024 17:39:36 +0800 Subject: [PATCH 204/258] Update README.md --- README.md | 4 ++-- 1 file changed, 2 insertions(+), 2 deletions(-) diff --git a/README.md b/README.md index ecfb0ebc..6d5af135 100644 --- a/README.md +++ b/README.md @@ -26,8 +26,8 @@ This repository hosts the code of LightRAG. The structure of this code is based ## 🎉 News -- [x] [2024.11.19]🎯📢We have added a detailed blog link introducing LightRAG on [LearnOpenCV](https://learnopencv.com/lightrag). Many thanks to the blog author! -- [x] [2024.11.12]🎯📢You can [use Oracle Database 23ai for all storage types (kv/vector/graph)](https://github.com/HKUDS/LightRAG/blob/main/examples/lightrag_oracle_demo.py) now. +- [x] [2024.11.19]🎯📢A comprehensive guide to LightRAG is now available on [LearnOpenCV](https://learnopencv.com/lightrag). Many thanks to the blog author! +- [x] [2024.11.12]🎯📢LightRAG now supports [Oracle Database 23ai for all storage types (KV, vector, and graph)](https://github.com/HKUDS/LightRAG/blob/main/examples/lightrag_oracle_demo.py). - [x] [2024.11.11]🎯📢LightRAG now supports [deleting entities by their names](https://github.com/HKUDS/LightRAG?tab=readme-ov-file#delete-entity). - [x] [2024.11.09]🎯📢Introducing the [LightRAG Gui](https://lightrag-gui.streamlit.app), which allows you to insert, query, visualize, and download LightRAG knowledge. - [x] [2024.11.04]🎯📢You can now [use Neo4J for Storage](https://github.com/HKUDS/LightRAG?tab=readme-ov-file#using-neo4j-for-storage). From 89c2de54a25c275beea68bece1cd7f986f738dd9 Mon Sep 17 00:00:00 2001 From: jin <52519003+jin38324@users.noreply.github.com> Date: Mon, 25 Nov 2024 13:29:55 +0800 Subject: [PATCH 205/258] Optimization logic --- .gitignore | 2 + examples/lightrag_api_oracle_demo..py | 133 ++++---- examples/lightrag_oracle_demo.py | 2 + lightrag/base.py | 2 + lightrag/kg/oracle_impl.py | 46 ++- lightrag/lightrag.py | 29 +- lightrag/llm.py | 11 +- lightrag/operate.py | 432 +++++++++----------------- lightrag/prompt.py | 80 +++-- lightrag/utils.py | 28 +- 10 files changed, 342 insertions(+), 423 deletions(-) diff --git a/.gitignore b/.gitignore index 942c2c25..01e145a8 100644 --- a/.gitignore +++ b/.gitignore @@ -12,3 +12,5 @@ ignore_this.txt .venv/ *.ignore.* .ruff_cache/ +gui/ +*.log \ No newline at end of file diff --git a/examples/lightrag_api_oracle_demo..py b/examples/lightrag_api_oracle_demo..py index 3bfae452..3b2cafc6 100644 --- a/examples/lightrag_api_oracle_demo..py +++ b/examples/lightrag_api_oracle_demo..py @@ -1,11 +1,16 @@ + from fastapi import FastAPI, HTTPException, File, UploadFile +from fastapi import Query from contextlib import asynccontextmanager from pydantic import BaseModel -from typing import Optional +from typing import Optional,Any +from fastapi.responses import JSONResponse -import sys -import os +import sys, os +print(os.getcwd()) from pathlib import Path +script_directory = Path(__file__).resolve().parent.parent +sys.path.append(os.path.abspath(script_directory)) import asyncio import nest_asyncio @@ -13,15 +18,11 @@ from lightrag.llm import openai_complete_if_cache, openai_embedding from lightrag.utils import EmbeddingFunc import numpy as np +from datetime import datetime from lightrag.kg.oracle_impl import OracleDB -print(os.getcwd()) - -script_directory = Path(__file__).resolve().parent.parent -sys.path.append(os.path.abspath(script_directory)) - # Apply nest_asyncio to solve event loop issues nest_asyncio.apply() @@ -37,18 +38,16 @@ # Configure working directory WORKING_DIR = os.environ.get("RAG_DIR", f"{DEFAULT_RAG_DIR}") print(f"WORKING_DIR: {WORKING_DIR}") -LLM_MODEL = os.environ.get("LLM_MODEL", "cohere.command-r-plus") +LLM_MODEL = os.environ.get("LLM_MODEL", "cohere.command-r-plus-08-2024") print(f"LLM_MODEL: {LLM_MODEL}") EMBEDDING_MODEL = os.environ.get("EMBEDDING_MODEL", "cohere.embed-multilingual-v3.0") print(f"EMBEDDING_MODEL: {EMBEDDING_MODEL}") EMBEDDING_MAX_TOKEN_SIZE = int(os.environ.get("EMBEDDING_MAX_TOKEN_SIZE", 512)) print(f"EMBEDDING_MAX_TOKEN_SIZE: {EMBEDDING_MAX_TOKEN_SIZE}") - if not os.path.exists(WORKING_DIR): os.mkdir(WORKING_DIR) - - + async def llm_model_func( prompt, system_prompt=None, history_messages=[], **kwargs ) -> str: @@ -78,10 +77,10 @@ async def get_embedding_dim(): embedding_dim = embedding.shape[1] return embedding_dim - async def init(): + # Detect embedding dimension - embedding_dimension = await get_embedding_dim() + embedding_dimension = 1024 #await get_embedding_dim() print(f"Detected embedding dimension: {embedding_dimension}") # Create Oracle DB connection # The `config` parameter is the connection configuration of Oracle DB @@ -89,36 +88,36 @@ async def init(): # We storage data in unified tables, so we need to set a `workspace` parameter to specify which docs we want to store and query # Below is an example of how to connect to Oracle Autonomous Database on Oracle Cloud - oracle_db = OracleDB( - config={ - "user": "", - "password": "", - "dsn": "", - "config_dir": "", - "wallet_location": "", - "wallet_password": "", - "workspace": "", - } # specify which docs you want to store and query - ) + oracle_db = OracleDB(config={ + "user":"", + "password":"", + "dsn":"", + "config_dir":"path_to_config_dir", + "wallet_location":"path_to_wallet_location", + "wallet_password":"wallet_password", + "workspace":"company" + } # specify which docs you want to store and query + ) + # Check if Oracle DB tables exist, if not, tables will be created await oracle_db.check_tables() # Initialize LightRAG - # We use Oracle DB as the KV/vector/graph storage + # We use Oracle DB as the KV/vector/graph storage rag = LightRAG( - enable_llm_cache=False, - working_dir=WORKING_DIR, - chunk_token_size=512, - llm_model_func=llm_model_func, - embedding_func=EmbeddingFunc( - embedding_dim=embedding_dimension, - max_token_size=512, - func=embedding_func, - ), - graph_storage="OracleGraphStorage", - kv_storage="OracleKVStorage", - vector_storage="OracleVectorDBStorage", - ) + enable_llm_cache=False, + working_dir=WORKING_DIR, + chunk_token_size=512, + llm_model_func=llm_model_func, + embedding_func=EmbeddingFunc( + embedding_dim=embedding_dimension, + max_token_size=512, + func=embedding_func, + ), + graph_storage = "OracleGraphStorage", + kv_storage="OracleKVStorage", + vector_storage="OracleVectorDBStorage" + ) # Setthe KV/vector/graph storage's `db` property, so all operation will use same connection pool rag.graph_storage_cls.db = oracle_db @@ -128,6 +127,17 @@ async def init(): return rag +# Extract and Insert into LightRAG storage +#with open("./dickens/book.txt", "r", encoding="utf-8") as f: +# await rag.ainsert(f.read()) + +# # Perform search in different modes +# modes = ["naive", "local", "global", "hybrid"] +# for mode in modes: +# print("="*20, mode, "="*20) +# print(await rag.aquery("这篇文档是关于什么内容的?", param=QueryParam(mode=mode))) +# print("-"*100, "\n") + # Data models @@ -135,7 +145,10 @@ class QueryRequest(BaseModel): query: str mode: str = "hybrid" only_need_context: bool = False + only_need_prompt: bool = False +class DataRequest(BaseModel): + limit: int = 100 class InsertRequest(BaseModel): text: str @@ -143,7 +156,7 @@ class InsertRequest(BaseModel): class Response(BaseModel): status: str - data: Optional[str] = None + data: Optional[Any] = None message: Optional[str] = None @@ -151,7 +164,6 @@ class Response(BaseModel): rag = None # 定义为全局对象 - @asynccontextmanager async def lifespan(app: FastAPI): global rag @@ -160,24 +172,39 @@ async def lifespan(app: FastAPI): yield -app = FastAPI( - title="LightRAG API", description="API for RAG operations", lifespan=lifespan -) - +app = FastAPI(title="LightRAG API", description="API for RAG operations",lifespan=lifespan) @app.post("/query", response_model=Response) async def query_endpoint(request: QueryRequest): - try: + #try: # loop = asyncio.get_event_loop() - result = await rag.aquery( + if request.mode == "naive": + top_k = 3 + else: + top_k = 60 + result = await rag.aquery( request.query, param=QueryParam( - mode=request.mode, only_need_context=request.only_need_context + mode=request.mode, + only_need_context=request.only_need_context, + only_need_prompt=request.only_need_prompt, + top_k=top_k ), ) - return Response(status="success", data=result) - except Exception as e: - raise HTTPException(status_code=500, detail=str(e)) + return Response(status="success", data=result) + # except Exception as e: + # raise HTTPException(status_code=500, detail=str(e)) + + +@app.get("/data", response_model=Response) +async def query_all_nodes(type: str = Query("nodes"), limit: int = Query(100)): + if type == "nodes": + result = await rag.chunk_entity_relation_graph.get_all_nodes(limit = limit) + elif type == "edges": + result = await rag.chunk_entity_relation_graph.get_all_edges(limit = limit) + elif type == "statistics": + result = await rag.chunk_entity_relation_graph.get_statistics() + return Response(status="success", data=result) @app.post("/insert", response_model=Response) @@ -220,7 +247,7 @@ async def health_check(): if __name__ == "__main__": import uvicorn - uvicorn.run(app, host="0.0.0.0", port=8020) + uvicorn.run(app, host="127.0.0.1", port=8020) # Usage example # To run the server, use the following command in your terminal: @@ -237,4 +264,4 @@ async def health_check(): # curl -X POST "http://127.0.0.1:8020/insert_file" -H "Content-Type: application/json" -d '{"file_path": "path/to/your/file.txt"}' # 4. Health check: -# curl -X GET "http://127.0.0.1:8020/health" +# curl -X GET "http://127.0.0.1:8020/health" \ No newline at end of file diff --git a/examples/lightrag_oracle_demo.py b/examples/lightrag_oracle_demo.py index 365b6225..b915c76b 100644 --- a/examples/lightrag_oracle_demo.py +++ b/examples/lightrag_oracle_demo.py @@ -97,6 +97,8 @@ async def main(): graph_storage="OracleGraphStorage", kv_storage="OracleKVStorage", vector_storage="OracleVectorDBStorage", + + addon_params = {"example_number":1, "language":"Simplfied Chinese"}, ) # Setthe KV/vector/graph storage's `db` property, so all operation will use same connection pool diff --git a/lightrag/base.py b/lightrag/base.py index ca46057f..ea84c000 100644 --- a/lightrag/base.py +++ b/lightrag/base.py @@ -21,6 +21,8 @@ class QueryParam: response_type: str = "Multiple Paragraphs" # Number of top-k items to retrieve; corresponds to entities in "local" mode and relationships in "global" mode. top_k: int = 60 + # Number of document chunks to retrieve. + # top_n: int = 10 # Number of tokens for the original chunks. max_token_for_text_unit: int = 4000 # Number of tokens for the relationship descriptions diff --git a/lightrag/kg/oracle_impl.py b/lightrag/kg/oracle_impl.py index e81c32d0..2e394b8a 100644 --- a/lightrag/kg/oracle_impl.py +++ b/lightrag/kg/oracle_impl.py @@ -333,6 +333,8 @@ async def upsert_node(self, node_id: str, node_data: dict[str, str]): entity_type = node_data["entity_type"] description = node_data["description"] source_id = node_data["source_id"] + logger.debug(f"entity_name:{entity_name}, entity_type:{entity_type}") + content = entity_name + description contents = [content] batches = [ @@ -369,6 +371,8 @@ async def upsert_edge( keywords = edge_data["keywords"] description = edge_data["description"] source_chunk_id = edge_data["source_id"] + logger.debug(f"source_name:{source_name}, target_name:{target_name}, keywords: {keywords}") + content = keywords + source_name + target_name + description contents = [content] batches = [ @@ -544,6 +548,14 @@ async def get_all_edges(self, limit: int): res = await self.db.query(sql=SQL,params=params, multirows=True) if res: return res + + async def get_statistics(self): + SQL = SQL_TEMPLATES["get_statistics"] + params = {"workspace":self.db.workspace} + res = await self.db.query(sql=SQL,params=params, multirows=True) + if res: + return res + N_T = { "full_docs": "LIGHTRAG_DOC_FULL", "text_chunks": "LIGHTRAG_DOC_CHUNKS", @@ -715,18 +727,36 @@ async def get_all_edges(self, limit: int): WHEN NOT MATCHED THEN INSERT(workspace,source_name,target_name,weight,keywords,description,source_chunk_id,content,content_vector) values (:workspace,:source_name,:target_name,:weight,:keywords,:description,:source_chunk_id,:content,:content_vector) """, - "get_all_nodes":"""SELECT t1.name as id,t1.entity_type as label,t1.DESCRIPTION,t2.content - FROM LIGHTRAG_GRAPH_NODES t1 - LEFT JOIN LIGHTRAG_DOC_CHUNKS t2 on t1.source_chunk_id=t2.id - WHERE t1.workspace=:workspace - order by t1.CREATETIME DESC - fetch first :limit rows only - """, + "get_all_nodes":"""WITH t0 AS ( + SELECT name AS id, entity_type AS label, entity_type, description, + '["' || replace(source_chunk_id, '', '","') || '"]' source_chunk_ids + FROM lightrag_graph_nodes + WHERE workspace = :workspace + ORDER BY createtime DESC fetch first :limit rows only + ), t1 AS ( + SELECT t0.id, source_chunk_id + FROM t0, JSON_TABLE ( source_chunk_ids, '$[*]' COLUMNS ( source_chunk_id PATH '$' ) ) + ), t2 AS ( + SELECT t1.id, LISTAGG(t2.content, '\n') content + FROM t1 LEFT JOIN lightrag_doc_chunks t2 ON t1.source_chunk_id = t2.id + GROUP BY t1.id + ) + SELECT t0.id, label, entity_type, description, t2.content + FROM t0 LEFT JOIN t2 ON t0.id = t2.id""", "get_all_edges":"""SELECT t1.id,t1.keywords as label,t1.keywords, t1.source_name as source, t1.target_name as target, t1.weight,t1.DESCRIPTION,t2.content FROM LIGHTRAG_GRAPH_EDGES t1 LEFT JOIN LIGHTRAG_DOC_CHUNKS t2 on t1.source_chunk_id=t2.id WHERE t1.workspace=:workspace order by t1.CREATETIME DESC - fetch first :limit rows only""" + fetch first :limit rows only""", + "get_statistics":"""select count(distinct CASE WHEN type='node' THEN id END) as nodes_count, + count(distinct CASE WHEN type='edge' THEN id END) as edges_count + FROM ( + select 'node' as type, id FROM GRAPH_TABLE (lightrag_graph + MATCH (a) WHERE a.workspace=:workspace columns(a.name as id)) + UNION + select 'edge' as type, TO_CHAR(id) id FROM GRAPH_TABLE (lightrag_graph + MATCH (a)-[e]->(b) WHERE e.workspace=:workspace columns(e.id)) + )""", } diff --git a/lightrag/lightrag.py b/lightrag/lightrag.py index 50e33405..2687877a 100644 --- a/lightrag/lightrag.py +++ b/lightrag/lightrag.py @@ -12,9 +12,8 @@ from .operate import ( chunking_by_token_size, extract_entities, - local_query, - global_query, - hybrid_query, + # local_query,global_query,hybrid_query, + kg_query, naive_query, ) @@ -309,28 +308,8 @@ def query(self, query: str, param: QueryParam = QueryParam()): return loop.run_until_complete(self.aquery(query, param)) async def aquery(self, query: str, param: QueryParam = QueryParam()): - if param.mode == "local": - response = await local_query( - query, - self.chunk_entity_relation_graph, - self.entities_vdb, - self.relationships_vdb, - self.text_chunks, - param, - asdict(self), - ) - elif param.mode == "global": - response = await global_query( - query, - self.chunk_entity_relation_graph, - self.entities_vdb, - self.relationships_vdb, - self.text_chunks, - param, - asdict(self), - ) - elif param.mode == "hybrid": - response = await hybrid_query( + if param.mode in ["local", "global", "hybrid"]: + response = await kg_query( query, self.chunk_entity_relation_graph, self.entities_vdb, diff --git a/lightrag/llm.py b/lightrag/llm.py index f4045e80..6263f153 100644 --- a/lightrag/llm.py +++ b/lightrag/llm.py @@ -69,12 +69,15 @@ async def openai_complete_if_cache( response = await openai_async_client.chat.completions.create( model=model, messages=messages, **kwargs ) - + content = response.choices[0].message.content + if r'\u' in content: + content = content.encode('utf-8').decode('unicode_escape') + print(content) if hashing_kv is not None: await hashing_kv.upsert( {args_hash: {"return": response.choices[0].message.content, "model": model}} ) - return response.choices[0].message.content + return content @retry( @@ -539,7 +542,7 @@ async def openai_embedding( texts: list[str], model: str = "text-embedding-3-small", base_url: str = None, - api_key: str = None, + api_key: str = None ) -> np.ndarray: if api_key: os.environ["OPENAI_API_KEY"] = api_key @@ -548,7 +551,7 @@ async def openai_embedding( AsyncOpenAI() if base_url is None else AsyncOpenAI(base_url=base_url) ) response = await openai_async_client.embeddings.create( - model=model, input=texts, encoding_format="float" + model=model, input=texts, encoding_format="float" ) return np.array([dp.embedding for dp in response.data]) diff --git a/lightrag/operate.py b/lightrag/operate.py index 285b6e35..12f78dcd 100644 --- a/lightrag/operate.py +++ b/lightrag/operate.py @@ -248,14 +248,23 @@ async def extract_entities( entity_extract_max_gleaning = global_config["entity_extract_max_gleaning"] ordered_chunks = list(chunks.items()) - + # add language and example number params to prompt + language = global_config["addon_params"].get("language",PROMPTS["DEFAULT_LANGUAGE"]) + example_number = global_config["addon_params"].get("example_number", None) + if example_number and example_number str: context = None + example_number = global_config["addon_params"].get("example_number", None) + if example_number and example_number < len(PROMPTS["keywords_extraction_examples"]): + examples = "\n".join(PROMPTS["keywords_extraction_examples"][:int(example_number)]) + else: + examples="\n".join(PROMPTS["keywords_extraction_examples"]) + + # Set mode + if query_param.mode not in ["local", "global", "hybrid"]: + logger.error(f"Unknown mode {query_param.mode} in kg_query") + return PROMPTS["fail_response"] + + # LLM generate keywords use_model_func = global_config["llm_model_func"] - kw_prompt_temp = PROMPTS["keywords_extraction"] - kw_prompt = kw_prompt_temp.format(query=query) - result = await use_model_func(kw_prompt) - json_text = locate_json_string_body_from_string(result) - logger.debug("local_query json_text:", json_text) + kw_prompt = kw_prompt_temp.format(query=query,examples=examples) + result = await use_model_func(kw_prompt) + logger.info(f"kw_prompt result:") + print(result) try: + json_text = locate_json_string_body_from_string(result) keywords_data = json.loads(json_text) - keywords = keywords_data.get("low_level_keywords", []) - keywords = ", ".join(keywords) - except json.JSONDecodeError: - print(result) - try: - result = ( - result.replace(kw_prompt[:-1], "") - .replace("user", "") - .replace("model", "") - .strip() - ) - result = "{" + result.split("{")[1].split("}")[0] + "}" - - keywords_data = json.loads(result) - keywords = keywords_data.get("low_level_keywords", []) - keywords = ", ".join(keywords) - # Handle parsing error - except json.JSONDecodeError as e: - print(f"JSON parsing error: {e}") - return PROMPTS["fail_response"] - if keywords: - context = await _build_local_query_context( + hl_keywords = keywords_data.get("high_level_keywords", []) + ll_keywords = keywords_data.get("low_level_keywords", []) + + # Handle parsing error + except json.JSONDecodeError as e: + print(f"JSON parsing error: {e} {result}") + return PROMPTS["fail_response"] + + # Handdle keywords missing + if hl_keywords == [] and ll_keywords == []: + logger.warning("low_level_keywords and high_level_keywords is empty") + return PROMPTS["fail_response"] + if ll_keywords == [] and query_param.mode in ["local","hybrid"]: + logger.warning("low_level_keywords is empty") + return PROMPTS["fail_response"] + else: + ll_keywords = ", ".join(ll_keywords) + if hl_keywords == [] and query_param.mode in ["global","hybrid"]: + logger.warning("high_level_keywords is empty") + return PROMPTS["fail_response"] + else: + hl_keywords = ", ".join(hl_keywords) + + # Build context + keywords = [ll_keywords, hl_keywords] + context = await _build_query_context( keywords, knowledge_graph_inst, entities_vdb, + relationships_vdb, text_chunks_db, query_param, ) + if query_param.only_need_context: return context if context is None: @@ -443,13 +468,13 @@ async def local_query( sys_prompt_temp = PROMPTS["rag_response"] sys_prompt = sys_prompt_temp.format( context_data=context, response_type=query_param.response_type - ) + ) if query_param.only_need_prompt: return sys_prompt response = await use_model_func( query, system_prompt=sys_prompt, - ) + ) if len(response) > len(sys_prompt): response = ( response.replace(sys_prompt, "") @@ -464,22 +489,87 @@ async def local_query( return response -async def _build_local_query_context( +async def _build_query_context( + query: list, + knowledge_graph_inst: BaseGraphStorage, + entities_vdb: BaseVectorStorage, + relationships_vdb: BaseVectorStorage, + text_chunks_db: BaseKVStorage[TextChunkSchema], + query_param: QueryParam, + ): + ll_kewwords, hl_keywrds = query[0], query[1] + if query_param.mode in ["local", "hybrid"]: + if ll_kewwords == "": + ll_entities_context,ll_relations_context,ll_text_units_context = "","","" + warnings.warn("Low Level context is None. Return empty Low entity/relationship/source") + query_param.mode = "global" + else: + ll_entities_context,ll_relations_context,ll_text_units_context = await _get_node_data( + ll_kewwords, + knowledge_graph_inst, + entities_vdb, + text_chunks_db, + query_param + ) + if query_param.mode in ["global", "hybrid"]: + if hl_keywrds == "": + hl_entities_context,hl_relations_context,hl_text_units_context = "","","" + warnings.warn("High Level context is None. Return empty High entity/relationship/source") + query_param.mode = "local" + else: + hl_entities_context,hl_relations_context,hl_text_units_context = await _get_edge_data( + hl_keywrds, + knowledge_graph_inst, + relationships_vdb, + text_chunks_db, + query_param + ) + if query_param.mode == 'hybrid': + entities_context,relations_context,text_units_context = combine_contexts( + [hl_entities_context,ll_entities_context], + [hl_relations_context,ll_relations_context], + [hl_text_units_context,ll_text_units_context] + ) + elif query_param.mode == 'local': + entities_context,relations_context,text_units_context = ll_entities_context,ll_relations_context,ll_text_units_context + elif query_param.mode == 'global': + entities_context,relations_context,text_units_context = hl_entities_context,hl_relations_context,hl_text_units_context + return f""" +# -----Entities----- +# ```csv +# {entities_context} +# ``` +# -----Relationships----- +# ```csv +# {relations_context} +# ``` +# -----Sources----- +# ```csv +# {text_units_context} +# ``` +# """ + + + +async def _get_node_data( query, knowledge_graph_inst: BaseGraphStorage, entities_vdb: BaseVectorStorage, text_chunks_db: BaseKVStorage[TextChunkSchema], query_param: QueryParam, ): + # 获取相似的实体 results = await entities_vdb.query(query, top_k=query_param.top_k) - if not len(results): return None + # 获取实体信息 node_datas = await asyncio.gather( *[knowledge_graph_inst.get_node(r["entity_name"]) for r in results] ) if not all([n is not None for n in node_datas]): logger.warning("Some nodes are missing, maybe the storage is damaged") + + # 获取实体的度 node_degrees = await asyncio.gather( *[knowledge_graph_inst.node_degree(r["entity_name"]) for r in results] ) @@ -488,15 +578,19 @@ async def _build_local_query_context( for k, n, d in zip(results, node_datas, node_degrees) if n is not None ] # what is this text_chunks_db doing. dont remember it in airvx. check the diagram. + # 根据实体获取文本片段 use_text_units = await _find_most_related_text_unit_from_entities( node_datas, query_param, text_chunks_db, knowledge_graph_inst ) + # 获取关联的边 use_relations = await _find_most_related_edges_from_entities( node_datas, query_param, knowledge_graph_inst ) logger.info( f"Local query uses {len(node_datas)} entites, {len(use_relations)} relations, {len(use_text_units)} text units" - ) + ) + + # 构建提示词 entites_section_list = [["id", "entity", "type", "description", "rank"]] for i, n in enumerate(node_datas): entites_section_list.append( @@ -531,20 +625,7 @@ async def _build_local_query_context( for i, t in enumerate(use_text_units): text_units_section_list.append([i, t["content"]]) text_units_context = list_of_list_to_csv(text_units_section_list) - return f""" ------Entities----- -```csv -{entities_context} -``` ------Relationships----- -```csv -{relations_context} -``` ------Sources----- -```csv -{text_units_context} -``` -""" + return entities_context,relations_context,text_units_context async def _find_most_related_text_unit_from_entities( @@ -659,88 +740,9 @@ async def _find_most_related_edges_from_entities( return all_edges_data -async def global_query( - query, - knowledge_graph_inst: BaseGraphStorage, - entities_vdb: BaseVectorStorage, - relationships_vdb: BaseVectorStorage, - text_chunks_db: BaseKVStorage[TextChunkSchema], - query_param: QueryParam, - global_config: dict, -) -> str: - context = None - use_model_func = global_config["llm_model_func"] - - kw_prompt_temp = PROMPTS["keywords_extraction"] - kw_prompt = kw_prompt_temp.format(query=query) - result = await use_model_func(kw_prompt) - json_text = locate_json_string_body_from_string(result) - logger.debug("global json_text:", json_text) - try: - keywords_data = json.loads(json_text) - keywords = keywords_data.get("high_level_keywords", []) - keywords = ", ".join(keywords) - except json.JSONDecodeError: - try: - result = ( - result.replace(kw_prompt[:-1], "") - .replace("user", "") - .replace("model", "") - .strip() - ) - result = "{" + result.split("{")[1].split("}")[0] + "}" - - keywords_data = json.loads(result) - keywords = keywords_data.get("high_level_keywords", []) - keywords = ", ".join(keywords) - - except json.JSONDecodeError as e: - # Handle parsing error - print(f"JSON parsing error: {e}") - return PROMPTS["fail_response"] - if keywords: - context = await _build_global_query_context( - keywords, - knowledge_graph_inst, - entities_vdb, - relationships_vdb, - text_chunks_db, - query_param, - ) - - if query_param.only_need_context: - return context - if context is None: - return PROMPTS["fail_response"] - - sys_prompt_temp = PROMPTS["rag_response"] - sys_prompt = sys_prompt_temp.format( - context_data=context, response_type=query_param.response_type - ) - if query_param.only_need_prompt: - return sys_prompt - response = await use_model_func( - query, - system_prompt=sys_prompt, - ) - if len(response) > len(sys_prompt): - response = ( - response.replace(sys_prompt, "") - .replace("user", "") - .replace("model", "") - .replace(query, "") - .replace("", "") - .replace("", "") - .strip() - ) - - return response - - -async def _build_global_query_context( +async def _get_edge_data( keywords, knowledge_graph_inst: BaseGraphStorage, - entities_vdb: BaseVectorStorage, relationships_vdb: BaseVectorStorage, text_chunks_db: BaseKVStorage[TextChunkSchema], query_param: QueryParam, @@ -782,6 +784,7 @@ async def _build_global_query_context( logger.info( f"Global query uses {len(use_entities)} entites, {len(edge_datas)} relations, {len(use_text_units)} text units" ) + relations_section_list = [ ["id", "source", "target", "description", "keywords", "weight", "rank"] ] @@ -816,21 +819,8 @@ async def _build_global_query_context( for i, t in enumerate(use_text_units): text_units_section_list.append([i, t["content"]]) text_units_context = list_of_list_to_csv(text_units_section_list) + return entities_context,relations_context,text_units_context - return f""" ------Entities----- -```csv -{entities_context} -``` ------Relationships----- -```csv -{relations_context} -``` ------Sources----- -```csv -{text_units_context} -``` -""" async def _find_most_related_entities_from_relationships( @@ -901,137 +891,11 @@ async def _find_related_text_unit_from_relationships( return all_text_units -async def hybrid_query( - query, - knowledge_graph_inst: BaseGraphStorage, - entities_vdb: BaseVectorStorage, - relationships_vdb: BaseVectorStorage, - text_chunks_db: BaseKVStorage[TextChunkSchema], - query_param: QueryParam, - global_config: dict, -) -> str: - low_level_context = None - high_level_context = None - use_model_func = global_config["llm_model_func"] - - kw_prompt_temp = PROMPTS["keywords_extraction"] - kw_prompt = kw_prompt_temp.format(query=query) - - result = await use_model_func(kw_prompt) - json_text = locate_json_string_body_from_string(result) - logger.debug("hybrid_query json_text:", json_text) - try: - keywords_data = json.loads(json_text) - hl_keywords = keywords_data.get("high_level_keywords", []) - ll_keywords = keywords_data.get("low_level_keywords", []) - hl_keywords = ", ".join(hl_keywords) - ll_keywords = ", ".join(ll_keywords) - except json.JSONDecodeError: - try: - result = ( - result.replace(kw_prompt[:-1], "") - .replace("user", "") - .replace("model", "") - .strip() - ) - result = "{" + result.split("{")[1].split("}")[0] + "}" - keywords_data = json.loads(result) - hl_keywords = keywords_data.get("high_level_keywords", []) - ll_keywords = keywords_data.get("low_level_keywords", []) - hl_keywords = ", ".join(hl_keywords) - ll_keywords = ", ".join(ll_keywords) - # Handle parsing error - except json.JSONDecodeError as e: - print(f"JSON parsing error: {e}") - return PROMPTS["fail_response"] - - if ll_keywords: - low_level_context = await _build_local_query_context( - ll_keywords, - knowledge_graph_inst, - entities_vdb, - text_chunks_db, - query_param, - ) - - if hl_keywords: - high_level_context = await _build_global_query_context( - hl_keywords, - knowledge_graph_inst, - entities_vdb, - relationships_vdb, - text_chunks_db, - query_param, - ) - - context = combine_contexts(high_level_context, low_level_context) - - if query_param.only_need_context: - return context - if context is None: - return PROMPTS["fail_response"] - - sys_prompt_temp = PROMPTS["rag_response"] - sys_prompt = sys_prompt_temp.format( - context_data=context, response_type=query_param.response_type - ) - if query_param.only_need_prompt: - return sys_prompt - response = await use_model_func( - query, - system_prompt=sys_prompt, - ) - if len(response) > len(sys_prompt): - response = ( - response.replace(sys_prompt, "") - .replace("user", "") - .replace("model", "") - .replace(query, "") - .replace("", "") - .replace("", "") - .strip() - ) - return response - - -def combine_contexts(high_level_context, low_level_context): +def combine_contexts(entities, relationships, sources): # Function to extract entities, relationships, and sources from context strings - - def extract_sections(context): - entities_match = re.search( - r"-----Entities-----\s*```csv\s*(.*?)\s*```", context, re.DOTALL - ) - relationships_match = re.search( - r"-----Relationships-----\s*```csv\s*(.*?)\s*```", context, re.DOTALL - ) - sources_match = re.search( - r"-----Sources-----\s*```csv\s*(.*?)\s*```", context, re.DOTALL - ) - - entities = entities_match.group(1) if entities_match else "" - relationships = relationships_match.group(1) if relationships_match else "" - sources = sources_match.group(1) if sources_match else "" - - return entities, relationships, sources - - # Extract sections from both contexts - - if high_level_context is None: - warnings.warn( - "High Level context is None. Return empty High entity/relationship/source" - ) - hl_entities, hl_relationships, hl_sources = "", "", "" - else: - hl_entities, hl_relationships, hl_sources = extract_sections(high_level_context) - - if low_level_context is None: - warnings.warn( - "Low Level context is None. Return empty Low entity/relationship/source" - ) - ll_entities, ll_relationships, ll_sources = "", "", "" - else: - ll_entities, ll_relationships, ll_sources = extract_sections(low_level_context) - + hl_entities, ll_entities = entities[0], entities[1] + hl_relationships, ll_relationships = relationships[0],relationships[1] + hl_sources, ll_sources = sources[0], sources[1] # Combine and deduplicate the entities combined_entities = process_combine_contexts(hl_entities, ll_entities) @@ -1043,21 +907,7 @@ def extract_sections(context): # Combine and deduplicate the sources combined_sources = process_combine_contexts(hl_sources, ll_sources) - # Format the combined context - return f""" ------Entities----- -```csv -{combined_entities} -``` ------Relationships----- -```csv -{combined_relationships} -``` ------Sources----- -```csv -{combined_sources} -``` -""" + return combined_entities, combined_relationships, combined_sources async def naive_query( @@ -1080,7 +930,7 @@ async def naive_query( max_token_size=query_param.max_token_for_text_unit, ) logger.info(f"Truncate {len(chunks)} to {len(maybe_trun_chunks)} chunks") - section = "--New Chunk--\n".join([c["content"] for c in maybe_trun_chunks]) + section = "\n--New Chunk--\n".join([c["content"] for c in maybe_trun_chunks]) if query_param.only_need_context: return section sys_prompt_temp = PROMPTS["naive_rag_response"] diff --git a/lightrag/prompt.py b/lightrag/prompt.py index 5de116b3..389f45f2 100644 --- a/lightrag/prompt.py +++ b/lightrag/prompt.py @@ -2,6 +2,7 @@ PROMPTS = {} +PROMPTS["DEFAULT_LANGUAGE"] = "English" PROMPTS["DEFAULT_TUPLE_DELIMITER"] = "<|>" PROMPTS["DEFAULT_RECORD_DELIMITER"] = "##" PROMPTS["DEFAULT_COMPLETION_DELIMITER"] = "<|COMPLETE|>" @@ -11,6 +12,7 @@ PROMPTS["entity_extraction"] = """-Goal- Given a text document that is potentially relevant to this activity and a list of entity types, identify all entities of those types from the text and all relationships among the identified entities. +Use {language} as output language. -Steps- 1. Identify all entities. For each identified entity, extract the following information: @@ -38,7 +40,19 @@ ###################### -Examples- ###################### -Example 1: +{examples} + +############################# +-Real Data- +###################### +Entity_types: {entity_types} +Text: {input_text} +###################### +Output: +""" + +PROMPTS["entity_extraction_examples"] = [ +"""Example 1: Entity_types: [person, technology, mission, organization, location] Text: @@ -62,8 +76,8 @@ ("relationship"{tuple_delimiter}"Jordan"{tuple_delimiter}"Cruz"{tuple_delimiter}"Jordan's commitment to discovery is in rebellion against Cruz's vision of control and order."{tuple_delimiter}"ideological conflict, rebellion"{tuple_delimiter}5){record_delimiter} ("relationship"{tuple_delimiter}"Taylor"{tuple_delimiter}"The Device"{tuple_delimiter}"Taylor shows reverence towards the device, indicating its importance and potential impact."{tuple_delimiter}"reverence, technological significance"{tuple_delimiter}9){record_delimiter} ("content_keywords"{tuple_delimiter}"power dynamics, ideological conflict, discovery, rebellion"){completion_delimiter} -############################# -Example 2: +#############################""", +"""Example 2: Entity_types: [person, technology, mission, organization, location] Text: @@ -80,8 +94,8 @@ ("relationship"{tuple_delimiter}"The team"{tuple_delimiter}"Washington"{tuple_delimiter}"The team receives communications from Washington, which influences their decision-making process."{tuple_delimiter}"decision-making, external influence"{tuple_delimiter}7){record_delimiter} ("relationship"{tuple_delimiter}"The team"{tuple_delimiter}"Operation: Dulce"{tuple_delimiter}"The team is directly involved in Operation: Dulce, executing its evolved objectives and activities."{tuple_delimiter}"mission evolution, active participation"{tuple_delimiter}9){completion_delimiter} ("content_keywords"{tuple_delimiter}"mission evolution, decision-making, active participation, cosmic significance"){completion_delimiter} -############################# -Example 3: +#############################""", +"""Example 3: Entity_types: [person, role, technology, organization, event, location, concept] Text: @@ -107,22 +121,15 @@ ("relationship"{tuple_delimiter}"Alex"{tuple_delimiter}"Humanity's Response"{tuple_delimiter}"Alex and his team are the key figures in Humanity's Response to the unknown intelligence."{tuple_delimiter}"collective action, cosmic significance"{tuple_delimiter}8){record_delimiter} ("relationship"{tuple_delimiter}"Control"{tuple_delimiter}"Intelligence"{tuple_delimiter}"The concept of Control is challenged by the Intelligence that writes its own rules."{tuple_delimiter}"power dynamics, autonomy"{tuple_delimiter}7){record_delimiter} ("content_keywords"{tuple_delimiter}"first contact, control, communication, cosmic significance"){completion_delimiter} -############################# --Real Data- -###################### -Entity_types: {entity_types} -Text: {input_text} -###################### -Output: -""" +#############################""" +] -PROMPTS[ - "summarize_entity_descriptions" -] = """You are a helpful assistant responsible for generating a comprehensive summary of the data provided below. +PROMPTS["summarize_entity_descriptions"] = """You are a helpful assistant responsible for generating a comprehensive summary of the data provided below. Given one or two entities, and a list of descriptions, all related to the same entity or group of entities. Please concatenate all of these into a single, comprehensive description. Make sure to include information collected from all the descriptions. If the provided descriptions are contradictory, please resolve the contradictions and provide a single, coherent summary. Make sure it is written in third person, and include the entity names so we the have full context. +Use Chinese as output language. ####### -Data- @@ -132,14 +139,10 @@ Output: """ -PROMPTS[ - "entiti_continue_extraction" -] = """MANY entities were missed in the last extraction. Add them below using the same format: +PROMPTS["entiti_continue_extraction"] = """MANY entities were missed in the last extraction. Add them below using the same format: """ -PROMPTS[ - "entiti_if_loop_extraction" -] = """It appears some entities may have still been missed. Answer YES | NO if there are still entities that need to be added. +PROMPTS["entiti_if_loop_extraction"] = """It appears some entities may have still been missed. Answer YES | NO if there are still entities that need to be added. """ PROMPTS["fail_response"] = "Sorry, I'm not able to provide an answer to that question." @@ -169,6 +172,7 @@ PROMPTS["keywords_extraction"] = """---Role--- You are a helpful assistant tasked with identifying both high-level and low-level keywords in the user's query. +Use Chinese as output language. ---Goal--- @@ -184,7 +188,20 @@ ###################### -Examples- ###################### -Example 1: +{examples} + +############################# +-Real Data- +###################### +Query: {query} +###################### +The `Output` should be human text, not unicode characters. Keep the same language as `Query`. +Output: + +""" + +PROMPTS["keywords_extraction_examples"] = [ + """Example 1: Query: "How does international trade influence global economic stability?" ################ @@ -193,8 +210,8 @@ "high_level_keywords": ["International trade", "Global economic stability", "Economic impact"], "low_level_keywords": ["Trade agreements", "Tariffs", "Currency exchange", "Imports", "Exports"] }} -############################# -Example 2: +#############################""", + """Example 2: Query: "What are the environmental consequences of deforestation on biodiversity?" ################ @@ -203,8 +220,8 @@ "high_level_keywords": ["Environmental consequences", "Deforestation", "Biodiversity loss"], "low_level_keywords": ["Species extinction", "Habitat destruction", "Carbon emissions", "Rainforest", "Ecosystem"] }} -############################# -Example 3: +#############################""", + """Example 3: Query: "What is the role of education in reducing poverty?" ################ @@ -213,14 +230,9 @@ "high_level_keywords": ["Education", "Poverty reduction", "Socioeconomic development"], "low_level_keywords": ["School access", "Literacy rates", "Job training", "Income inequality"] }} -############################# --Real Data- -###################### -Query: {query} -###################### -Output: +#############################""" +] -""" PROMPTS["naive_rag_response"] = """---Role--- diff --git a/lightrag/utils.py b/lightrag/utils.py index 473c5d39..9c0e7577 100644 --- a/lightrag/utils.py +++ b/lightrag/utils.py @@ -47,14 +47,26 @@ async def __call__(self, *args, **kwargs) -> np.ndarray: def locate_json_string_body_from_string(content: str) -> Union[str, None]: """Locate the JSON string body from a string""" - maybe_json_str = re.search(r"{.*}", content, re.DOTALL) - if maybe_json_str is not None: - maybe_json_str = maybe_json_str.group(0) - maybe_json_str = maybe_json_str.replace("\\n", "") - maybe_json_str = maybe_json_str.replace("\n", "") - maybe_json_str = maybe_json_str.replace("'", '"') - return maybe_json_str - else: + try: + maybe_json_str = re.search(r"{.*}", content, re.DOTALL) + if maybe_json_str is not None: + maybe_json_str = maybe_json_str.group(0) + maybe_json_str = maybe_json_str.replace("\\n", "") + maybe_json_str = maybe_json_str.replace("\n", "") + maybe_json_str = maybe_json_str.replace("'", '"') + json.loads(maybe_json_str) + return maybe_json_str + except: + # try: + # content = ( + # content.replace(kw_prompt[:-1], "") + # .replace("user", "") + # .replace("model", "") + # .strip() + # ) + # maybe_json_str = "{" + content.split("{")[1].split("}")[0] + "}" + # json.loads(maybe_json_str) + return None From 26ae240c65c761ab1e7fff64a3ed7c67ce8759b0 Mon Sep 17 00:00:00 2001 From: jin <52519003+jin38324@users.noreply.github.com> Date: Mon, 25 Nov 2024 13:40:38 +0800 Subject: [PATCH 206/258] Logic Optimization --- .gitignore | 2 +- examples/lightrag_api_oracle_demo..py | 109 +++++++++--------- examples/lightrag_oracle_demo.py | 3 +- lightrag/kg/oracle_impl.py | 8 +- lightrag/llm.py | 8 +- lightrag/operate.py | 152 ++++++++++++++++---------- lightrag/prompt.py | 32 +++--- lightrag/utils.py | 7 +- 8 files changed, 185 insertions(+), 136 deletions(-) diff --git a/.gitignore b/.gitignore index 01e145a8..e6f5f5ba 100644 --- a/.gitignore +++ b/.gitignore @@ -13,4 +13,4 @@ ignore_this.txt *.ignore.* .ruff_cache/ gui/ -*.log \ No newline at end of file +*.log diff --git a/examples/lightrag_api_oracle_demo..py b/examples/lightrag_api_oracle_demo..py index c06b8a83..8aaa2cf5 100644 --- a/examples/lightrag_api_oracle_demo..py +++ b/examples/lightrag_api_oracle_demo..py @@ -1,16 +1,14 @@ - from fastapi import FastAPI, HTTPException, File, UploadFile from fastapi import Query from contextlib import asynccontextmanager from pydantic import BaseModel -from typing import Optional,Any -from fastapi.responses import JSONResponse +from typing import Optional, Any + +import sys +import os + -import sys, os -print(os.getcwd()) from pathlib import Path -script_directory = Path(__file__).resolve().parent.parent -sys.path.append(os.path.abspath(script_directory)) import asyncio import nest_asyncio @@ -18,10 +16,12 @@ from lightrag.llm import openai_complete_if_cache, openai_embedding from lightrag.utils import EmbeddingFunc import numpy as np -from datetime import datetime from lightrag.kg.oracle_impl import OracleDB +print(os.getcwd()) +script_directory = Path(__file__).resolve().parent.parent +sys.path.append(os.path.abspath(script_directory)) # Apply nest_asyncio to solve event loop issues @@ -47,7 +47,8 @@ if not os.path.exists(WORKING_DIR): os.mkdir(WORKING_DIR) - + + async def llm_model_func( prompt, system_prompt=None, history_messages=[], **kwargs ) -> str: @@ -77,10 +78,10 @@ async def get_embedding_dim(): embedding_dim = embedding.shape[1] return embedding_dim + async def init(): - # Detect embedding dimension - embedding_dimension = 1024 #await get_embedding_dim() + embedding_dimension = 1024 # await get_embedding_dim() print(f"Detected embedding dimension: {embedding_dimension}") # Create Oracle DB connection # The `config` parameter is the connection configuration of Oracle DB @@ -88,36 +89,36 @@ async def init(): # We storage data in unified tables, so we need to set a `workspace` parameter to specify which docs we want to store and query # Below is an example of how to connect to Oracle Autonomous Database on Oracle Cloud + oracle_db = OracleDB( + config={ + "user": "", + "password": "", + "dsn": "", + "config_dir": "path_to_config_dir", + "wallet_location": "path_to_wallet_location", + "wallet_password": "wallet_password", + "workspace": "company", + } # specify which docs you want to store and query + ) - oracle_db = OracleDB(config={ - "user":"", - "password":"", - "dsn":"", - "config_dir":"path_to_config_dir", - "wallet_location":"path_to_wallet_location", - "wallet_password":"wallet_password", - "workspace":"company" - } # specify which docs you want to store and query - ) - # Check if Oracle DB tables exist, if not, tables will be created await oracle_db.check_tables() # Initialize LightRAG - # We use Oracle DB as the KV/vector/graph storage + # We use Oracle DB as the KV/vector/graph storage rag = LightRAG( - enable_llm_cache=False, - working_dir=WORKING_DIR, - chunk_token_size=512, - llm_model_func=llm_model_func, - embedding_func=EmbeddingFunc( - embedding_dim=embedding_dimension, - max_token_size=512, - func=embedding_func, - ), - graph_storage = "OracleGraphStorage", - kv_storage="OracleKVStorage", - vector_storage="OracleVectorDBStorage" - ) + enable_llm_cache=False, + working_dir=WORKING_DIR, + chunk_token_size=512, + llm_model_func=llm_model_func, + embedding_func=EmbeddingFunc( + embedding_dim=embedding_dimension, + max_token_size=512, + func=embedding_func, + ), + graph_storage="OracleGraphStorage", + kv_storage="OracleKVStorage", + vector_storage="OracleVectorDBStorage", + ) # Setthe KV/vector/graph storage's `db` property, so all operation will use same connection pool rag.graph_storage_cls.db = oracle_db @@ -128,7 +129,7 @@ async def init(): # Extract and Insert into LightRAG storage -#with open("./dickens/book.txt", "r", encoding="utf-8") as f: +# with open("./dickens/book.txt", "r", encoding="utf-8") as f: # await rag.ainsert(f.read()) # # Perform search in different modes @@ -147,9 +148,11 @@ class QueryRequest(BaseModel): only_need_context: bool = False only_need_prompt: bool = False + class DataRequest(BaseModel): limit: int = 100 + class InsertRequest(BaseModel): text: str @@ -164,6 +167,7 @@ class Response(BaseModel): rag = None + @asynccontextmanager async def lifespan(app: FastAPI): global rag @@ -172,25 +176,28 @@ async def lifespan(app: FastAPI): yield -app = FastAPI(title="LightRAG API", description="API for RAG operations",lifespan=lifespan) +app = FastAPI( + title="LightRAG API", description="API for RAG operations", lifespan=lifespan +) + @app.post("/query", response_model=Response) async def query_endpoint(request: QueryRequest): - #try: - # loop = asyncio.get_event_loop() + # try: + # loop = asyncio.get_event_loop() if request.mode == "naive": top_k = 3 else: top_k = 60 result = await rag.aquery( - request.query, - param=QueryParam( - mode=request.mode, - only_need_context=request.only_need_context, - only_need_prompt=request.only_need_prompt, - top_k=top_k - ), - ) + request.query, + param=QueryParam( + mode=request.mode, + only_need_context=request.only_need_context, + only_need_prompt=request.only_need_prompt, + top_k=top_k, + ), + ) return Response(status="success", data=result) # except Exception as e: # raise HTTPException(status_code=500, detail=str(e)) @@ -199,9 +206,9 @@ async def query_endpoint(request: QueryRequest): @app.get("/data", response_model=Response) async def query_all_nodes(type: str = Query("nodes"), limit: int = Query(100)): if type == "nodes": - result = await rag.chunk_entity_relation_graph.get_all_nodes(limit = limit) + result = await rag.chunk_entity_relation_graph.get_all_nodes(limit=limit) elif type == "edges": - result = await rag.chunk_entity_relation_graph.get_all_edges(limit = limit) + result = await rag.chunk_entity_relation_graph.get_all_edges(limit=limit) elif type == "statistics": result = await rag.chunk_entity_relation_graph.get_statistics() return Response(status="success", data=result) @@ -264,4 +271,4 @@ async def health_check(): # curl -X POST "http://127.0.0.1:8020/insert_file" -H "Content-Type: application/json" -d '{"file_path": "path/to/your/file.txt"}' # 4. Health check: -# curl -X GET "http://127.0.0.1:8020/health" \ No newline at end of file +# curl -X GET "http://127.0.0.1:8020/health" diff --git a/examples/lightrag_oracle_demo.py b/examples/lightrag_oracle_demo.py index b915c76b..630c1fd8 100644 --- a/examples/lightrag_oracle_demo.py +++ b/examples/lightrag_oracle_demo.py @@ -97,8 +97,7 @@ async def main(): graph_storage="OracleGraphStorage", kv_storage="OracleKVStorage", vector_storage="OracleVectorDBStorage", - - addon_params = {"example_number":1, "language":"Simplfied Chinese"}, + addon_params={"example_number": 1, "language": "Simplfied Chinese"}, ) # Setthe KV/vector/graph storage's `db` property, so all operation will use same connection pool diff --git a/lightrag/kg/oracle_impl.py b/lightrag/kg/oracle_impl.py index 2cfbd249..08ce79d5 100644 --- a/lightrag/kg/oracle_impl.py +++ b/lightrag/kg/oracle_impl.py @@ -114,7 +114,9 @@ async def check_tables(self): logger.info("Finished check all tables in Oracle database") - async def query(self, sql: str, multirows: bool = False) -> Union[dict, None]: + async def query( + self, sql: str, params: dict = None, multirows: bool = False + ) -> Union[dict, None]: async with self.pool.acquire() as connection: connection.inputtypehandler = self.input_type_handler connection.outputtypehandler = self.output_type_handler @@ -256,7 +258,7 @@ async def upsert(self, data: dict[str, dict]): item["__vector__"], ] # print(merge_sql) - await self.db.execute(merge_sql, data) + await self.db.execute(merge_sql, values) if self.namespace == "full_docs": for k, v in self._data.items(): @@ -266,7 +268,7 @@ async def upsert(self, data: dict[str, dict]): ) values = [k, self._data[k]["content"], self.db.workspace] # print(merge_sql) - await self.db.execute(merge_sql, data) + await self.db.execute(merge_sql, values) return left_data async def index_done_callback(self): diff --git a/lightrag/llm.py b/lightrag/llm.py index 1acf07e0..d3729941 100644 --- a/lightrag/llm.py +++ b/lightrag/llm.py @@ -70,8 +70,8 @@ async def openai_complete_if_cache( model=model, messages=messages, **kwargs ) content = response.choices[0].message.content - if r'\u' in content: - content = content.encode('utf-8').decode('unicode_escape') + if r"\u" in content: + content = content.encode("utf-8").decode("unicode_escape") print(content) if hashing_kv is not None: await hashing_kv.upsert( @@ -542,7 +542,7 @@ async def openai_embedding( texts: list[str], model: str = "text-embedding-3-small", base_url: str = None, - api_key: str = None + api_key: str = None, ) -> np.ndarray: if api_key: os.environ["OPENAI_API_KEY"] = api_key @@ -551,7 +551,7 @@ async def openai_embedding( AsyncOpenAI() if base_url is None else AsyncOpenAI(base_url=base_url) ) response = await openai_async_client.embeddings.create( - model=model, input=texts, encoding_format="float" + model=model, input=texts, encoding_format="float" ) return np.array([dp.embedding for dp in response.data]) diff --git a/lightrag/operate.py b/lightrag/operate.py index 1071f8c2..c4740e70 100644 --- a/lightrag/operate.py +++ b/lightrag/operate.py @@ -249,13 +249,17 @@ async def extract_entities( ordered_chunks = list(chunks.items()) # add language and example number params to prompt - language = global_config["addon_params"].get("language",PROMPTS["DEFAULT_LANGUAGE"]) + language = global_config["addon_params"].get( + "language", PROMPTS["DEFAULT_LANGUAGE"] + ) example_number = global_config["addon_params"].get("example_number", None) - if example_number and example_number len(sys_prompt): response = ( response.replace(sys_prompt, "") @@ -496,44 +504,72 @@ async def _build_query_context( relationships_vdb: BaseVectorStorage, text_chunks_db: BaseKVStorage[TextChunkSchema], query_param: QueryParam, - ): +): ll_kewwords, hl_keywrds = query[0], query[1] if query_param.mode in ["local", "hybrid"]: if ll_kewwords == "": - ll_entities_context,ll_relations_context,ll_text_units_context = "","","" - warnings.warn("Low Level context is None. Return empty Low entity/relationship/source") + ll_entities_context, ll_relations_context, ll_text_units_context = ( + "", + "", + "", + ) + warnings.warn( + "Low Level context is None. Return empty Low entity/relationship/source" + ) query_param.mode = "global" else: - ll_entities_context,ll_relations_context,ll_text_units_context = await _get_node_data( + ( + ll_entities_context, + ll_relations_context, + ll_text_units_context, + ) = await _get_node_data( ll_kewwords, knowledge_graph_inst, entities_vdb, text_chunks_db, - query_param - ) + query_param, + ) if query_param.mode in ["global", "hybrid"]: if hl_keywrds == "": - hl_entities_context,hl_relations_context,hl_text_units_context = "","","" - warnings.warn("High Level context is None. Return empty High entity/relationship/source") + hl_entities_context, hl_relations_context, hl_text_units_context = ( + "", + "", + "", + ) + warnings.warn( + "High Level context is None. Return empty High entity/relationship/source" + ) query_param.mode = "local" else: - hl_entities_context,hl_relations_context,hl_text_units_context = await _get_edge_data( + ( + hl_entities_context, + hl_relations_context, + hl_text_units_context, + ) = await _get_edge_data( hl_keywrds, knowledge_graph_inst, relationships_vdb, text_chunks_db, - query_param - ) - if query_param.mode == 'hybrid': - entities_context,relations_context,text_units_context = combine_contexts( - [hl_entities_context,ll_entities_context], - [hl_relations_context,ll_relations_context], - [hl_text_units_context,ll_text_units_context] - ) - elif query_param.mode == 'local': - entities_context,relations_context,text_units_context = ll_entities_context,ll_relations_context,ll_text_units_context - elif query_param.mode == 'global': - entities_context,relations_context,text_units_context = hl_entities_context,hl_relations_context,hl_text_units_context + query_param, + ) + if query_param.mode == "hybrid": + entities_context, relations_context, text_units_context = combine_contexts( + [hl_entities_context, ll_entities_context], + [hl_relations_context, ll_relations_context], + [hl_text_units_context, ll_text_units_context], + ) + elif query_param.mode == "local": + entities_context, relations_context, text_units_context = ( + ll_entities_context, + ll_relations_context, + ll_text_units_context, + ) + elif query_param.mode == "global": + entities_context, relations_context, text_units_context = ( + hl_entities_context, + hl_relations_context, + hl_text_units_context, + ) return f""" # -----Entities----- # ```csv @@ -550,7 +586,6 @@ async def _build_query_context( # """ - async def _get_node_data( query, knowledge_graph_inst: BaseGraphStorage, @@ -568,7 +603,7 @@ async def _get_node_data( ) if not all([n is not None for n in node_datas]): logger.warning("Some nodes are missing, maybe the storage is damaged") - + # 获取实体的度 node_degrees = await asyncio.gather( *[knowledge_graph_inst.node_degree(r["entity_name"]) for r in results] @@ -588,7 +623,7 @@ async def _get_node_data( ) logger.info( f"Local query uses {len(node_datas)} entites, {len(use_relations)} relations, {len(use_text_units)} text units" - ) + ) # 构建提示词 entites_section_list = [["id", "entity", "type", "description", "rank"]] @@ -625,7 +660,7 @@ async def _get_node_data( for i, t in enumerate(use_text_units): text_units_section_list.append([i, t["content"]]) text_units_context = list_of_list_to_csv(text_units_section_list) - return entities_context,relations_context,text_units_context + return entities_context, relations_context, text_units_context async def _find_most_related_text_unit_from_entities( @@ -821,8 +856,7 @@ async def _get_edge_data( for i, t in enumerate(use_text_units): text_units_section_list.append([i, t["content"]]) text_units_context = list_of_list_to_csv(text_units_section_list) - return entities_context,relations_context,text_units_context - + return entities_context, relations_context, text_units_context async def _find_most_related_entities_from_relationships( @@ -902,7 +936,7 @@ async def _find_related_text_unit_from_relationships( def combine_contexts(entities, relationships, sources): # Function to extract entities, relationships, and sources from context strings hl_entities, ll_entities = entities[0], entities[1] - hl_relationships, ll_relationships = relationships[0],relationships[1] + hl_relationships, ll_relationships = relationships[0], relationships[1] hl_sources, ll_sources = sources[0], sources[1] # Combine and deduplicate the entities combined_entities = process_combine_contexts(hl_entities, ll_entities) diff --git a/lightrag/prompt.py b/lightrag/prompt.py index 389f45f2..0d4e599d 100644 --- a/lightrag/prompt.py +++ b/lightrag/prompt.py @@ -52,7 +52,7 @@ """ PROMPTS["entity_extraction_examples"] = [ -"""Example 1: + """Example 1: Entity_types: [person, technology, mission, organization, location] Text: @@ -77,7 +77,7 @@ ("relationship"{tuple_delimiter}"Taylor"{tuple_delimiter}"The Device"{tuple_delimiter}"Taylor shows reverence towards the device, indicating its importance and potential impact."{tuple_delimiter}"reverence, technological significance"{tuple_delimiter}9){record_delimiter} ("content_keywords"{tuple_delimiter}"power dynamics, ideological conflict, discovery, rebellion"){completion_delimiter} #############################""", -"""Example 2: + """Example 2: Entity_types: [person, technology, mission, organization, location] Text: @@ -95,7 +95,7 @@ ("relationship"{tuple_delimiter}"The team"{tuple_delimiter}"Operation: Dulce"{tuple_delimiter}"The team is directly involved in Operation: Dulce, executing its evolved objectives and activities."{tuple_delimiter}"mission evolution, active participation"{tuple_delimiter}9){completion_delimiter} ("content_keywords"{tuple_delimiter}"mission evolution, decision-making, active participation, cosmic significance"){completion_delimiter} #############################""", -"""Example 3: + """Example 3: Entity_types: [person, role, technology, organization, event, location, concept] Text: @@ -121,10 +121,12 @@ ("relationship"{tuple_delimiter}"Alex"{tuple_delimiter}"Humanity's Response"{tuple_delimiter}"Alex and his team are the key figures in Humanity's Response to the unknown intelligence."{tuple_delimiter}"collective action, cosmic significance"{tuple_delimiter}8){record_delimiter} ("relationship"{tuple_delimiter}"Control"{tuple_delimiter}"Intelligence"{tuple_delimiter}"The concept of Control is challenged by the Intelligence that writes its own rules."{tuple_delimiter}"power dynamics, autonomy"{tuple_delimiter}7){record_delimiter} ("content_keywords"{tuple_delimiter}"first contact, control, communication, cosmic significance"){completion_delimiter} -#############################""" +#############################""", ] -PROMPTS["summarize_entity_descriptions"] = """You are a helpful assistant responsible for generating a comprehensive summary of the data provided below. +PROMPTS[ + "summarize_entity_descriptions" +] = """You are a helpful assistant responsible for generating a comprehensive summary of the data provided below. Given one or two entities, and a list of descriptions, all related to the same entity or group of entities. Please concatenate all of these into a single, comprehensive description. Make sure to include information collected from all the descriptions. If the provided descriptions are contradictory, please resolve the contradictions and provide a single, coherent summary. @@ -139,10 +141,14 @@ Output: """ -PROMPTS["entiti_continue_extraction"] = """MANY entities were missed in the last extraction. Add them below using the same format: +PROMPTS[ + "entiti_continue_extraction" +] = """MANY entities were missed in the last extraction. Add them below using the same format: """ -PROMPTS["entiti_if_loop_extraction"] = """It appears some entities may have still been missed. Answer YES | NO if there are still entities that need to be added. +PROMPTS[ + "entiti_if_loop_extraction" +] = """It appears some entities may have still been missed. Answer YES | NO if there are still entities that need to be added. """ PROMPTS["fail_response"] = "Sorry, I'm not able to provide an answer to that question." @@ -201,7 +207,7 @@ """ PROMPTS["keywords_extraction_examples"] = [ - """Example 1: + """Example 1: Query: "How does international trade influence global economic stability?" ################ @@ -211,7 +217,7 @@ "low_level_keywords": ["Trade agreements", "Tariffs", "Currency exchange", "Imports", "Exports"] }} #############################""", - """Example 2: + """Example 2: Query: "What are the environmental consequences of deforestation on biodiversity?" ################ @@ -220,8 +226,8 @@ "high_level_keywords": ["Environmental consequences", "Deforestation", "Biodiversity loss"], "low_level_keywords": ["Species extinction", "Habitat destruction", "Carbon emissions", "Rainforest", "Ecosystem"] }} -#############################""", - """Example 3: +#############################""", + """Example 3: Query: "What is the role of education in reducing poverty?" ################ @@ -230,8 +236,8 @@ "high_level_keywords": ["Education", "Poverty reduction", "Socioeconomic development"], "low_level_keywords": ["School access", "Literacy rates", "Job training", "Income inequality"] }} -#############################""" -] +#############################""", +] PROMPTS["naive_rag_response"] = """---Role--- diff --git a/lightrag/utils.py b/lightrag/utils.py index fc739002..bdd1aa9e 100644 --- a/lightrag/utils.py +++ b/lightrag/utils.py @@ -56,7 +56,8 @@ def locate_json_string_body_from_string(content: str) -> Union[str, None]: maybe_json_str = maybe_json_str.replace("'", '"') json.loads(maybe_json_str) return maybe_json_str - except: + except Exception: + pass # try: # content = ( # content.replace(kw_prompt[:-1], "") @@ -64,9 +65,9 @@ def locate_json_string_body_from_string(content: str) -> Union[str, None]: # .replace("model", "") # .strip() # ) - # maybe_json_str = "{" + content.split("{")[1].split("}")[0] + "}" + # maybe_json_str = "{" + content.split("{")[1].split("}")[0] + "}" # json.loads(maybe_json_str) - + return None From 776ba2f2ce96654d981832b93f477c4a74296b09 Mon Sep 17 00:00:00 2001 From: jin <52519003+jin38324@users.noreply.github.com> Date: Mon, 25 Nov 2024 14:15:10 +0800 Subject: [PATCH 207/258] Update oracle_impl.py --- lightrag/kg/oracle_impl.py | 277 ++++++++++++++++++++++--------------- 1 file changed, 167 insertions(+), 110 deletions(-) diff --git a/lightrag/kg/oracle_impl.py b/lightrag/kg/oracle_impl.py index 08ce79d5..2e394b8a 100644 --- a/lightrag/kg/oracle_impl.py +++ b/lightrag/kg/oracle_impl.py @@ -114,9 +114,7 @@ async def check_tables(self): logger.info("Finished check all tables in Oracle database") - async def query( - self, sql: str, params: dict = None, multirows: bool = False - ) -> Union[dict, None]: + async def query(self, sql: str, params: dict = None, multirows: bool = False) -> Union[dict, None]: async with self.pool.acquire() as connection: connection.inputtypehandler = self.input_type_handler connection.outputtypehandler = self.output_type_handler @@ -175,11 +173,10 @@ def __post_init__(self): async def get_by_id(self, id: str) -> Union[dict, None]: """根据 id 获取 doc_full 数据.""" - SQL = SQL_TEMPLATES["get_by_id_" + self.namespace].format( - workspace=self.db.workspace, id=id - ) + SQL = SQL_TEMPLATES["get_by_id_" + self.namespace] + params = {"workspace":self.db.workspace, "id":id} # print("get_by_id:"+SQL) - res = await self.db.query(SQL) + res = await self.db.query(SQL,params) if res: data = res # {"data":res} # print (data) @@ -190,11 +187,11 @@ async def get_by_id(self, id: str) -> Union[dict, None]: # Query by id async def get_by_ids(self, ids: list[str], fields=None) -> Union[list[dict], None]: """根据 id 获取 doc_chunks 数据""" - SQL = SQL_TEMPLATES["get_by_ids_" + self.namespace].format( - workspace=self.db.workspace, ids=",".join([f"'{id}'" for id in ids]) - ) - # print("get_by_ids:"+SQL) - res = await self.db.query(SQL, multirows=True) + SQL = SQL_TEMPLATES["get_by_ids_" + self.namespace].format(ids=",".join([f"'{id}'" for id in ids])) + params = {"workspace":self.db.workspace} + #print("get_by_ids:"+SQL) + #print(params) + res = await self.db.query(SQL,params, multirows=True) if res: data = res # [{"data":i} for i in res] # print(data) @@ -204,12 +201,16 @@ async def get_by_ids(self, ids: list[str], fields=None) -> Union[list[dict], Non async def filter_keys(self, keys: list[str]) -> set[str]: """过滤掉重复内容""" - SQL = SQL_TEMPLATES["filter_keys"].format( - table_name=N_T[self.namespace], - workspace=self.db.workspace, - ids=",".join([f"'{k}'" for k in keys]), - ) - res = await self.db.query(SQL, multirows=True) + SQL = SQL_TEMPLATES["filter_keys"].format(table_name=N_T[self.namespace], + ids=",".join([f"'{id}'" for id in keys])) + params = {"workspace":self.db.workspace} + try: + await self.db.query(SQL, params) + except Exception as e: + logger.error(f"Oracle database error: {e}") + print(SQL) + print(params) + res = await self.db.query(SQL, params,multirows=True) data = None if res: exist_keys = [key["id"] for key in res] @@ -246,29 +247,31 @@ async def upsert(self, data: dict[str, dict]): d["__vector__"] = embeddings[i] # print(list_data) for item in list_data: - merge_sql = SQL_TEMPLATES["merge_chunk"].format(check_id=item["__id__"]) - - values = [ - item["__id__"], - item["content"], - self.db.workspace, - item["tokens"], - item["chunk_order_index"], - item["full_doc_id"], - item["__vector__"], - ] + merge_sql = SQL_TEMPLATES["merge_chunk"] + data = {"check_id":item["__id__"], + "id":item["__id__"], + "content":item["content"], + "workspace":self.db.workspace, + "tokens":item["tokens"], + "chunk_order_index":item["chunk_order_index"], + "full_doc_id":item["full_doc_id"], + "content_vector":item["__vector__"] + } # print(merge_sql) - await self.db.execute(merge_sql, values) + await self.db.execute(merge_sql, data) if self.namespace == "full_docs": for k, v in self._data.items(): # values.clear() - merge_sql = SQL_TEMPLATES["merge_doc_full"].format( - check_id=k, - ) - values = [k, self._data[k]["content"], self.db.workspace] + merge_sql = SQL_TEMPLATES["merge_doc_full"] + data = { + "check_id":k, + "id":k, + "content":v["content"], + "workspace":self.db.workspace + } # print(merge_sql) - await self.db.execute(merge_sql, values) + await self.db.execute(merge_sql, data) return left_data async def index_done_callback(self): @@ -298,18 +301,17 @@ async def query(self, query: str, top_k=5) -> Union[dict, list[dict]]: # 转换精度 dtype = str(embedding.dtype).upper() dimension = embedding.shape[0] - embedding_string = ", ".join(map(str, embedding.tolist())) - - SQL = SQL_TEMPLATES[self.namespace].format( - embedding_string=embedding_string, - dimension=dimension, - dtype=dtype, - workspace=self.db.workspace, - top_k=top_k, - better_than_threshold=self.cosine_better_than_threshold, - ) + embedding_string = "["+", ".join(map(str, embedding.tolist()))+"]" + + SQL = SQL_TEMPLATES[self.namespace].format(dimension=dimension, dtype=dtype) + params = { + "embedding_string": embedding_string, + "workspace": self.db.workspace, + "top_k": top_k, + "better_than_threshold": self.cosine_better_than_threshold, + } # print(SQL) - results = await self.db.query(SQL, multirows=True) + results = await self.db.query(SQL,params=params, multirows=True) # print("vector search result:",results) return results @@ -344,22 +346,18 @@ async def upsert_node(self, node_id: str, node_data: dict[str, str]): ) embeddings = np.concatenate(embeddings_list) content_vector = embeddings[0] - merge_sql = SQL_TEMPLATES["merge_node"].format( - workspace=self.db.workspace, name=entity_name, source_chunk_id=source_id - ) + merge_sql = SQL_TEMPLATES["merge_node"] + data = { + "workspace":self.db.workspace, + "name":entity_name, + "entity_type":entity_type, + "description":description, + "source_chunk_id":source_id, + "content":content, + "content_vector":content_vector + } # print(merge_sql) - await self.db.execute( - merge_sql, - [ - self.db.workspace, - entity_name, - entity_type, - description, - source_id, - content, - content_vector, - ], - ) + await self.db.execute(merge_sql,data) # self._graph.add_node(node_id, **node_data) async def upsert_edge( @@ -373,6 +371,8 @@ async def upsert_edge( keywords = edge_data["keywords"] description = edge_data["description"] source_chunk_id = edge_data["source_id"] + logger.debug(f"source_name:{source_name}, target_name:{target_name}, keywords: {keywords}") + content = keywords + source_name + target_name + description contents = [content] batches = [ @@ -384,27 +384,20 @@ async def upsert_edge( ) embeddings = np.concatenate(embeddings_list) content_vector = embeddings[0] - merge_sql = SQL_TEMPLATES["merge_edge"].format( - workspace=self.db.workspace, - source_name=source_name, - target_name=target_name, - source_chunk_id=source_chunk_id, - ) + merge_sql = SQL_TEMPLATES["merge_edge"] + data = { + "workspace":self.db.workspace, + "source_name":source_name, + "target_name":target_name, + "weight":weight, + "keywords":keywords, + "description":description, + "source_chunk_id":source_chunk_id, + "content":content, + "content_vector":content_vector + } # print(merge_sql) - await self.db.execute( - merge_sql, - [ - self.db.workspace, - source_name, - target_name, - weight, - keywords, - description, - source_chunk_id, - content, - content_vector, - ], - ) + await self.db.execute(merge_sql,data) # self._graph.add_edge(source_node_id, target_node_id, **edge_data) async def embed_nodes(self, algorithm: str) -> tuple[np.ndarray, list[str]]: @@ -434,12 +427,14 @@ async def index_done_callback(self): #################### query method ################# async def has_node(self, node_id: str) -> bool: """根据节点id检查节点是否存在""" - SQL = SQL_TEMPLATES["has_node"].format( - workspace=self.db.workspace, node_id=node_id - ) + SQL = SQL_TEMPLATES["has_node"] + params = { + "workspace":self.db.workspace, + "node_id":node_id + } # print(SQL) # print(self.db.workspace, node_id) - res = await self.db.query(SQL) + res = await self.db.query(SQL,params) if res: # print("Node exist!",res) return True @@ -449,13 +444,14 @@ async def has_node(self, node_id: str) -> bool: async def has_edge(self, source_node_id: str, target_node_id: str) -> bool: """根据源和目标节点id检查边是否存在""" - SQL = SQL_TEMPLATES["has_edge"].format( - workspace=self.db.workspace, - source_node_id=source_node_id, - target_node_id=target_node_id, - ) + SQL = SQL_TEMPLATES["has_edge"] + params = { + "workspace":self.db.workspace, + "source_node_id":source_node_id, + "target_node_id":target_node_id + } # print(SQL) - res = await self.db.query(SQL) + res = await self.db.query(SQL,params) if res: # print("Edge exist!",res) return True @@ -465,11 +461,13 @@ async def has_edge(self, source_node_id: str, target_node_id: str) -> bool: async def node_degree(self, node_id: str) -> int: """根据节点id获取节点的度""" - SQL = SQL_TEMPLATES["node_degree"].format( - workspace=self.db.workspace, node_id=node_id - ) + SQL = SQL_TEMPLATES["node_degree"] + params = { + "workspace":self.db.workspace, + "node_id":node_id + } # print(SQL) - res = await self.db.query(SQL) + res = await self.db.query(SQL,params) if res: # print("Node degree",res["degree"]) return res["degree"] @@ -485,12 +483,14 @@ async def edge_degree(self, src_id: str, tgt_id: str) -> int: async def get_node(self, node_id: str) -> Union[dict, None]: """根据节点id获取节点数据""" - SQL = SQL_TEMPLATES["get_node"].format( - workspace=self.db.workspace, node_id=node_id - ) + SQL = SQL_TEMPLATES["get_node"] + params = { + "workspace":self.db.workspace, + "node_id":node_id + } # print(self.db.workspace, node_id) # print(SQL) - res = await self.db.query(SQL) + res = await self.db.query(SQL,params) if res: # print("Get node!",self.db.workspace, node_id,res) return res @@ -502,12 +502,13 @@ async def get_edge( self, source_node_id: str, target_node_id: str ) -> Union[dict, None]: """根据源和目标节点id获取边""" - SQL = SQL_TEMPLATES["get_edge"].format( - workspace=self.db.workspace, - source_node_id=source_node_id, - target_node_id=target_node_id, - ) - res = await self.db.query(SQL) + SQL = SQL_TEMPLATES["get_edge"] + params = { + "workspace":self.db.workspace, + "source_node_id":source_node_id, + "target_node_id":target_node_id + } + res = await self.db.query(SQL,params) if res: # print("Get edge!",self.db.workspace, source_node_id, target_node_id,res[0]) return res @@ -518,10 +519,12 @@ async def get_edge( async def get_node_edges(self, source_node_id: str): """根据节点id获取节点的所有边""" if await self.has_node(source_node_id): - SQL = SQL_TEMPLATES["get_node_edges"].format( - workspace=self.db.workspace, source_node_id=source_node_id - ) - res = await self.db.query(sql=SQL, multirows=True) + SQL = SQL_TEMPLATES["get_node_edges"] + params = { + "workspace":self.db.workspace, + "source_node_id":source_node_id + } + res = await self.db.query(sql=SQL, params=params, multirows=True) if res: data = [(i["source_name"], i["target_name"]) for i in res] # print("Get node edge!",self.db.workspace, source_node_id,data) @@ -529,7 +532,29 @@ async def get_node_edges(self, source_node_id: str): else: # print("Node Edge not exist!",self.db.workspace, source_node_id) return [] + + async def get_all_nodes(self, limit: int): + """查询所有节点""" + SQL = SQL_TEMPLATES["get_all_nodes"] + params = {"workspace":self.db.workspace, "limit":str(limit)} + res = await self.db.query(sql=SQL,params=params, multirows=True) + if res: + return res + async def get_all_edges(self, limit: int): + """查询所有边""" + SQL = SQL_TEMPLATES["get_all_edges"] + params = {"workspace":self.db.workspace, "limit":str(limit)} + res = await self.db.query(sql=SQL,params=params, multirows=True) + if res: + return res + + async def get_statistics(self): + SQL = SQL_TEMPLATES["get_statistics"] + params = {"workspace":self.db.workspace} + res = await self.db.query(sql=SQL,params=params, multirows=True) + if res: + return res N_T = { "full_docs": "LIGHTRAG_DOC_FULL", @@ -701,5 +726,37 @@ async def get_node_edges(self, source_node_id: str): ON (a.workspace = :workspace and a.source_name=:source_name and a.target_name=:target_name and a.source_chunk_id=:source_chunk_id) WHEN NOT MATCHED THEN INSERT(workspace,source_name,target_name,weight,keywords,description,source_chunk_id,content,content_vector) - values (:1,:2,:3,:4,:5,:6,:7,:8,:9) """, + values (:workspace,:source_name,:target_name,:weight,:keywords,:description,:source_chunk_id,:content,:content_vector) """, + "get_all_nodes":"""WITH t0 AS ( + SELECT name AS id, entity_type AS label, entity_type, description, + '["' || replace(source_chunk_id, '', '","') || '"]' source_chunk_ids + FROM lightrag_graph_nodes + WHERE workspace = :workspace + ORDER BY createtime DESC fetch first :limit rows only + ), t1 AS ( + SELECT t0.id, source_chunk_id + FROM t0, JSON_TABLE ( source_chunk_ids, '$[*]' COLUMNS ( source_chunk_id PATH '$' ) ) + ), t2 AS ( + SELECT t1.id, LISTAGG(t2.content, '\n') content + FROM t1 LEFT JOIN lightrag_doc_chunks t2 ON t1.source_chunk_id = t2.id + GROUP BY t1.id + ) + SELECT t0.id, label, entity_type, description, t2.content + FROM t0 LEFT JOIN t2 ON t0.id = t2.id""", + "get_all_edges":"""SELECT t1.id,t1.keywords as label,t1.keywords, t1.source_name as source, t1.target_name as target, + t1.weight,t1.DESCRIPTION,t2.content + FROM LIGHTRAG_GRAPH_EDGES t1 + LEFT JOIN LIGHTRAG_DOC_CHUNKS t2 on t1.source_chunk_id=t2.id + WHERE t1.workspace=:workspace + order by t1.CREATETIME DESC + fetch first :limit rows only""", + "get_statistics":"""select count(distinct CASE WHEN type='node' THEN id END) as nodes_count, + count(distinct CASE WHEN type='edge' THEN id END) as edges_count + FROM ( + select 'node' as type, id FROM GRAPH_TABLE (lightrag_graph + MATCH (a) WHERE a.workspace=:workspace columns(a.name as id)) + UNION + select 'edge' as type, TO_CHAR(id) id FROM GRAPH_TABLE (lightrag_graph + MATCH (a)-[e]->(b) WHERE e.workspace=:workspace columns(e.id)) + )""", } From adfaa75c00a3ed30a64c10671fb0541cf5692555 Mon Sep 17 00:00:00 2001 From: jin <52519003+jin38324@users.noreply.github.com> Date: Mon, 25 Nov 2024 14:21:01 +0800 Subject: [PATCH 208/258] Update oracle_impl.py --- lightrag/kg/oracle_impl.py | 185 ++++++++++++++++++------------------- 1 file changed, 91 insertions(+), 94 deletions(-) diff --git a/lightrag/kg/oracle_impl.py b/lightrag/kg/oracle_impl.py index 2e394b8a..8ed73772 100644 --- a/lightrag/kg/oracle_impl.py +++ b/lightrag/kg/oracle_impl.py @@ -114,7 +114,9 @@ async def check_tables(self): logger.info("Finished check all tables in Oracle database") - async def query(self, sql: str, params: dict = None, multirows: bool = False) -> Union[dict, None]: + async def query( + self, sql: str, params: dict = None, multirows: bool = False + ) -> Union[dict, None]: async with self.pool.acquire() as connection: connection.inputtypehandler = self.input_type_handler connection.outputtypehandler = self.output_type_handler @@ -174,9 +176,9 @@ def __post_init__(self): async def get_by_id(self, id: str) -> Union[dict, None]: """根据 id 获取 doc_full 数据.""" SQL = SQL_TEMPLATES["get_by_id_" + self.namespace] - params = {"workspace":self.db.workspace, "id":id} + params = {"workspace": self.db.workspace, "id": id} # print("get_by_id:"+SQL) - res = await self.db.query(SQL,params) + res = await self.db.query(SQL, params) if res: data = res # {"data":res} # print (data) @@ -187,11 +189,13 @@ async def get_by_id(self, id: str) -> Union[dict, None]: # Query by id async def get_by_ids(self, ids: list[str], fields=None) -> Union[list[dict], None]: """根据 id 获取 doc_chunks 数据""" - SQL = SQL_TEMPLATES["get_by_ids_" + self.namespace].format(ids=",".join([f"'{id}'" for id in ids])) - params = {"workspace":self.db.workspace} - #print("get_by_ids:"+SQL) - #print(params) - res = await self.db.query(SQL,params, multirows=True) + SQL = SQL_TEMPLATES["get_by_ids_" + self.namespace].format( + ids=",".join([f"'{id}'" for id in ids]) + ) + params = {"workspace": self.db.workspace} + # print("get_by_ids:"+SQL) + # print(params) + res = await self.db.query(SQL, params, multirows=True) if res: data = res # [{"data":i} for i in res] # print(data) @@ -201,16 +205,17 @@ async def get_by_ids(self, ids: list[str], fields=None) -> Union[list[dict], Non async def filter_keys(self, keys: list[str]) -> set[str]: """过滤掉重复内容""" - SQL = SQL_TEMPLATES["filter_keys"].format(table_name=N_T[self.namespace], - ids=",".join([f"'{id}'" for id in keys])) - params = {"workspace":self.db.workspace} + SQL = SQL_TEMPLATES["filter_keys"].format( + table_name=N_T[self.namespace], ids=",".join([f"'{id}'" for id in keys]) + ) + params = {"workspace": self.db.workspace} try: await self.db.query(SQL, params) except Exception as e: logger.error(f"Oracle database error: {e}") print(SQL) print(params) - res = await self.db.query(SQL, params,multirows=True) + res = await self.db.query(SQL, params, multirows=True) data = None if res: exist_keys = [key["id"] for key in res] @@ -248,15 +253,16 @@ async def upsert(self, data: dict[str, dict]): # print(list_data) for item in list_data: merge_sql = SQL_TEMPLATES["merge_chunk"] - data = {"check_id":item["__id__"], - "id":item["__id__"], - "content":item["content"], - "workspace":self.db.workspace, - "tokens":item["tokens"], - "chunk_order_index":item["chunk_order_index"], - "full_doc_id":item["full_doc_id"], - "content_vector":item["__vector__"] - } + data = { + "check_id": item["__id__"], + "id": item["__id__"], + "content": item["content"], + "workspace": self.db.workspace, + "tokens": item["tokens"], + "chunk_order_index": item["chunk_order_index"], + "full_doc_id": item["full_doc_id"], + "content_vector": item["__vector__"], + } # print(merge_sql) await self.db.execute(merge_sql, data) @@ -265,11 +271,11 @@ async def upsert(self, data: dict[str, dict]): # values.clear() merge_sql = SQL_TEMPLATES["merge_doc_full"] data = { - "check_id":k, - "id":k, - "content":v["content"], - "workspace":self.db.workspace - } + "check_id": k, + "id": k, + "content": v["content"], + "workspace": self.db.workspace, + } # print(merge_sql) await self.db.execute(merge_sql, data) return left_data @@ -301,7 +307,7 @@ async def query(self, query: str, top_k=5) -> Union[dict, list[dict]]: # 转换精度 dtype = str(embedding.dtype).upper() dimension = embedding.shape[0] - embedding_string = "["+", ".join(map(str, embedding.tolist()))+"]" + embedding_string = "[" + ", ".join(map(str, embedding.tolist())) + "]" SQL = SQL_TEMPLATES[self.namespace].format(dimension=dimension, dtype=dtype) params = { @@ -309,9 +315,9 @@ async def query(self, query: str, top_k=5) -> Union[dict, list[dict]]: "workspace": self.db.workspace, "top_k": top_k, "better_than_threshold": self.cosine_better_than_threshold, - } + } # print(SQL) - results = await self.db.query(SQL,params=params, multirows=True) + results = await self.db.query(SQL, params=params, multirows=True) # print("vector search result:",results) return results @@ -346,18 +352,18 @@ async def upsert_node(self, node_id: str, node_data: dict[str, str]): ) embeddings = np.concatenate(embeddings_list) content_vector = embeddings[0] - merge_sql = SQL_TEMPLATES["merge_node"] + merge_sql = SQL_TEMPLATES["merge_node"] data = { - "workspace":self.db.workspace, - "name":entity_name, - "entity_type":entity_type, - "description":description, - "source_chunk_id":source_id, - "content":content, - "content_vector":content_vector - } + "workspace": self.db.workspace, + "name": entity_name, + "entity_type": entity_type, + "description": description, + "source_chunk_id": source_id, + "content": content, + "content_vector": content_vector, + } # print(merge_sql) - await self.db.execute(merge_sql,data) + await self.db.execute(merge_sql, data) # self._graph.add_node(node_id, **node_data) async def upsert_edge( @@ -371,7 +377,9 @@ async def upsert_edge( keywords = edge_data["keywords"] description = edge_data["description"] source_chunk_id = edge_data["source_id"] - logger.debug(f"source_name:{source_name}, target_name:{target_name}, keywords: {keywords}") + logger.debug( + f"source_name:{source_name}, target_name:{target_name}, keywords: {keywords}" + ) content = keywords + source_name + target_name + description contents = [content] @@ -384,20 +392,20 @@ async def upsert_edge( ) embeddings = np.concatenate(embeddings_list) content_vector = embeddings[0] - merge_sql = SQL_TEMPLATES["merge_edge"] + merge_sql = SQL_TEMPLATES["merge_edge"] data = { - "workspace":self.db.workspace, - "source_name":source_name, - "target_name":target_name, - "weight":weight, - "keywords":keywords, - "description":description, - "source_chunk_id":source_chunk_id, - "content":content, - "content_vector":content_vector - } + "workspace": self.db.workspace, + "source_name": source_name, + "target_name": target_name, + "weight": weight, + "keywords": keywords, + "description": description, + "source_chunk_id": source_chunk_id, + "content": content, + "content_vector": content_vector, + } # print(merge_sql) - await self.db.execute(merge_sql,data) + await self.db.execute(merge_sql, data) # self._graph.add_edge(source_node_id, target_node_id, **edge_data) async def embed_nodes(self, algorithm: str) -> tuple[np.ndarray, list[str]]: @@ -428,13 +436,10 @@ async def index_done_callback(self): async def has_node(self, node_id: str) -> bool: """根据节点id检查节点是否存在""" SQL = SQL_TEMPLATES["has_node"] - params = { - "workspace":self.db.workspace, - "node_id":node_id - } + params = {"workspace": self.db.workspace, "node_id": node_id} # print(SQL) # print(self.db.workspace, node_id) - res = await self.db.query(SQL,params) + res = await self.db.query(SQL, params) if res: # print("Node exist!",res) return True @@ -446,12 +451,12 @@ async def has_edge(self, source_node_id: str, target_node_id: str) -> bool: """根据源和目标节点id检查边是否存在""" SQL = SQL_TEMPLATES["has_edge"] params = { - "workspace":self.db.workspace, - "source_node_id":source_node_id, - "target_node_id":target_node_id - } + "workspace": self.db.workspace, + "source_node_id": source_node_id, + "target_node_id": target_node_id, + } # print(SQL) - res = await self.db.query(SQL,params) + res = await self.db.query(SQL, params) if res: # print("Edge exist!",res) return True @@ -462,12 +467,9 @@ async def has_edge(self, source_node_id: str, target_node_id: str) -> bool: async def node_degree(self, node_id: str) -> int: """根据节点id获取节点的度""" SQL = SQL_TEMPLATES["node_degree"] - params = { - "workspace":self.db.workspace, - "node_id":node_id - } + params = {"workspace": self.db.workspace, "node_id": node_id} # print(SQL) - res = await self.db.query(SQL,params) + res = await self.db.query(SQL, params) if res: # print("Node degree",res["degree"]) return res["degree"] @@ -484,13 +486,10 @@ async def edge_degree(self, src_id: str, tgt_id: str) -> int: async def get_node(self, node_id: str) -> Union[dict, None]: """根据节点id获取节点数据""" SQL = SQL_TEMPLATES["get_node"] - params = { - "workspace":self.db.workspace, - "node_id":node_id - } + params = {"workspace": self.db.workspace, "node_id": node_id} # print(self.db.workspace, node_id) # print(SQL) - res = await self.db.query(SQL,params) + res = await self.db.query(SQL, params) if res: # print("Get node!",self.db.workspace, node_id,res) return res @@ -504,11 +503,11 @@ async def get_edge( """根据源和目标节点id获取边""" SQL = SQL_TEMPLATES["get_edge"] params = { - "workspace":self.db.workspace, - "source_node_id":source_node_id, - "target_node_id":target_node_id - } - res = await self.db.query(SQL,params) + "workspace": self.db.workspace, + "source_node_id": source_node_id, + "target_node_id": target_node_id, + } + res = await self.db.query(SQL, params) if res: # print("Get edge!",self.db.workspace, source_node_id, target_node_id,res[0]) return res @@ -520,10 +519,7 @@ async def get_node_edges(self, source_node_id: str): """根据节点id获取节点的所有边""" if await self.has_node(source_node_id): SQL = SQL_TEMPLATES["get_node_edges"] - params = { - "workspace":self.db.workspace, - "source_node_id":source_node_id - } + params = {"workspace": self.db.workspace, "source_node_id": source_node_id} res = await self.db.query(sql=SQL, params=params, multirows=True) if res: data = [(i["source_name"], i["target_name"]) for i in res] @@ -532,30 +528,31 @@ async def get_node_edges(self, source_node_id: str): else: # print("Node Edge not exist!",self.db.workspace, source_node_id) return [] - + async def get_all_nodes(self, limit: int): """查询所有节点""" SQL = SQL_TEMPLATES["get_all_nodes"] - params = {"workspace":self.db.workspace, "limit":str(limit)} - res = await self.db.query(sql=SQL,params=params, multirows=True) + params = {"workspace": self.db.workspace, "limit": str(limit)} + res = await self.db.query(sql=SQL, params=params, multirows=True) if res: return res async def get_all_edges(self, limit: int): """查询所有边""" SQL = SQL_TEMPLATES["get_all_edges"] - params = {"workspace":self.db.workspace, "limit":str(limit)} - res = await self.db.query(sql=SQL,params=params, multirows=True) + params = {"workspace": self.db.workspace, "limit": str(limit)} + res = await self.db.query(sql=SQL, params=params, multirows=True) if res: return res - + async def get_statistics(self): SQL = SQL_TEMPLATES["get_statistics"] - params = {"workspace":self.db.workspace} - res = await self.db.query(sql=SQL,params=params, multirows=True) + params = {"workspace": self.db.workspace} + res = await self.db.query(sql=SQL, params=params, multirows=True) if res: return res + N_T = { "full_docs": "LIGHTRAG_DOC_FULL", "text_chunks": "LIGHTRAG_DOC_CHUNKS", @@ -727,7 +724,7 @@ async def get_statistics(self): WHEN NOT MATCHED THEN INSERT(workspace,source_name,target_name,weight,keywords,description,source_chunk_id,content,content_vector) values (:workspace,:source_name,:target_name,:weight,:keywords,:description,:source_chunk_id,:content,:content_vector) """, - "get_all_nodes":"""WITH t0 AS ( + "get_all_nodes": """WITH t0 AS ( SELECT name AS id, entity_type AS label, entity_type, description, '["' || replace(source_chunk_id, '', '","') || '"]' source_chunk_ids FROM lightrag_graph_nodes @@ -743,20 +740,20 @@ async def get_statistics(self): ) SELECT t0.id, label, entity_type, description, t2.content FROM t0 LEFT JOIN t2 ON t0.id = t2.id""", - "get_all_edges":"""SELECT t1.id,t1.keywords as label,t1.keywords, t1.source_name as source, t1.target_name as target, + "get_all_edges": """SELECT t1.id,t1.keywords as label,t1.keywords, t1.source_name as source, t1.target_name as target, t1.weight,t1.DESCRIPTION,t2.content FROM LIGHTRAG_GRAPH_EDGES t1 LEFT JOIN LIGHTRAG_DOC_CHUNKS t2 on t1.source_chunk_id=t2.id WHERE t1.workspace=:workspace order by t1.CREATETIME DESC fetch first :limit rows only""", - "get_statistics":"""select count(distinct CASE WHEN type='node' THEN id END) as nodes_count, + "get_statistics": """select count(distinct CASE WHEN type='node' THEN id END) as nodes_count, count(distinct CASE WHEN type='edge' THEN id END) as edges_count FROM ( - select 'node' as type, id FROM GRAPH_TABLE (lightrag_graph + select 'node' as type, id FROM GRAPH_TABLE (lightrag_graph MATCH (a) WHERE a.workspace=:workspace columns(a.name as id)) UNION - select 'edge' as type, TO_CHAR(id) id FROM GRAPH_TABLE (lightrag_graph + select 'edge' as type, TO_CHAR(id) id FROM GRAPH_TABLE (lightrag_graph MATCH (a)-[e]->(b) WHERE e.workspace=:workspace columns(e.id)) )""", } From 8562ecdebca67f689b682275f63e42e6634fa47f Mon Sep 17 00:00:00 2001 From: Larfii <834462287@qq.com> Date: Mon, 25 Nov 2024 15:04:38 +0800 Subject: [PATCH 209/258] Add a progress bar --- lightrag/lightrag.py | 5 +++- lightrag/operate.py | 59 +++++++++++++++++++++++++++++++------------- lightrag/storage.py | 14 ++++++++--- 3 files changed, 57 insertions(+), 21 deletions(-) diff --git a/lightrag/lightrag.py b/lightrag/lightrag.py index 7fafadcf..28e72102 100644 --- a/lightrag/lightrag.py +++ b/lightrag/lightrag.py @@ -1,5 +1,6 @@ import asyncio import os +from tqdm.asyncio import tqdm as tqdm_async from dataclasses import asdict, dataclass, field from datetime import datetime from functools import partial @@ -243,7 +244,9 @@ async def ainsert(self, string_or_strings): logger.info(f"[New Docs] inserting {len(new_docs)} docs") inserting_chunks = {} - for doc_key, doc in new_docs.items(): + for doc_key, doc in tqdm_async( + new_docs.items(), desc="Chunking documents", unit="doc" + ): chunks = { compute_mdhash_id(dp["content"], prefix="chunk-"): { **dp, diff --git a/lightrag/operate.py b/lightrag/operate.py index cf236633..9e4b768a 100644 --- a/lightrag/operate.py +++ b/lightrag/operate.py @@ -1,6 +1,7 @@ import asyncio import json import re +from tqdm.asyncio import tqdm as tqdm_async from typing import Union from collections import Counter, defaultdict import warnings @@ -329,11 +330,15 @@ async def _process_single_content(chunk_key_dp: tuple[str, TextChunkSchema]): ) return dict(maybe_nodes), dict(maybe_edges) - # use_llm_func is wrapped in ascynio.Semaphore, limiting max_async callings - results = await asyncio.gather( - *[_process_single_content(c) for c in ordered_chunks] - ) - print() # clear the progress bar + results = [] + for result in tqdm_async( + asyncio.as_completed([_process_single_content(c) for c in ordered_chunks]), + total=len(ordered_chunks), + desc="Extracting entities from chunks", + unit="chunk", + ): + results.append(await result) + maybe_nodes = defaultdict(list) maybe_edges = defaultdict(list) for m_nodes, m_edges in results: @@ -341,18 +346,38 @@ async def _process_single_content(chunk_key_dp: tuple[str, TextChunkSchema]): maybe_nodes[k].extend(v) for k, v in m_edges.items(): maybe_edges[tuple(sorted(k))].extend(v) - all_entities_data = await asyncio.gather( - *[ - _merge_nodes_then_upsert(k, v, knowledge_graph_inst, global_config) - for k, v in maybe_nodes.items() - ] - ) - all_relationships_data = await asyncio.gather( - *[ - _merge_edges_then_upsert(k[0], k[1], v, knowledge_graph_inst, global_config) - for k, v in maybe_edges.items() - ] - ) + logger.info("Inserting entities into storage...") + all_entities_data = [] + for result in tqdm_async( + asyncio.as_completed( + [ + _merge_nodes_then_upsert(k, v, knowledge_graph_inst, global_config) + for k, v in maybe_nodes.items() + ] + ), + total=len(maybe_nodes), + desc="Inserting entities", + unit="entity", + ): + all_entities_data.append(await result) + + logger.info("Inserting relationships into storage...") + all_relationships_data = [] + for result in tqdm_async( + asyncio.as_completed( + [ + _merge_edges_then_upsert( + k[0], k[1], v, knowledge_graph_inst, global_config + ) + for k, v in maybe_edges.items() + ] + ), + total=len(maybe_edges), + desc="Inserting relationships", + unit="relationship", + ): + all_relationships_data.append(await result) + if not len(all_entities_data): logger.warning("Didn't extract any entities, maybe your LLM is not working") return None diff --git a/lightrag/storage.py b/lightrag/storage.py index 9a4c3d4c..007d6534 100644 --- a/lightrag/storage.py +++ b/lightrag/storage.py @@ -1,6 +1,7 @@ import asyncio import html import os +from tqdm.asyncio import tqdm as tqdm_async from dataclasses import dataclass from typing import Any, Union, cast import networkx as nx @@ -95,9 +96,16 @@ async def upsert(self, data: dict[str, dict]): contents[i : i + self._max_batch_size] for i in range(0, len(contents), self._max_batch_size) ] - embeddings_list = await asyncio.gather( - *[self.embedding_func(batch) for batch in batches] - ) + embedding_tasks = [self.embedding_func(batch) for batch in batches] + embeddings_list = [] + for f in tqdm_async( + asyncio.as_completed(embedding_tasks), + total=len(embedding_tasks), + desc="Generating embeddings", + unit="batch", + ): + embeddings = await f + embeddings_list.append(embeddings) embeddings = np.concatenate(embeddings_list) for i, d in enumerate(list_data): d["__vector__"] = embeddings[i] From cb492ccb04aca49aa26cab5885c2c4f881ebfc33 Mon Sep 17 00:00:00 2001 From: Larfii <834462287@qq.com> Date: Mon, 25 Nov 2024 18:06:19 +0800 Subject: [PATCH 210/258] Add custom KG insertion --- README.md | 44 ++++++++++++++ examples/insert_custom_kg.py | 108 +++++++++++++++++++++++++++++++++++ lightrag/__init__.py | 2 +- lightrag/lightrag.py | 102 +++++++++++++++++++++++++++++++++ 4 files changed, 255 insertions(+), 1 deletion(-) create mode 100644 examples/insert_custom_kg.py diff --git a/README.md b/README.md index 6d5af135..155d20bb 100644 --- a/README.md +++ b/README.md @@ -26,6 +26,7 @@ This repository hosts the code of LightRAG. The structure of this code is based ## 🎉 News +- [x] [2024.11.25]🎯📢LightRAG now supports [custom KG insertion](https://github.com/HKUDS/LightRAG?tab=readme-ov-file#insert-custom-kg). - [x] [2024.11.19]🎯📢A comprehensive guide to LightRAG is now available on [LearnOpenCV](https://learnopencv.com/lightrag). Many thanks to the blog author! - [x] [2024.11.12]🎯📢LightRAG now supports [Oracle Database 23ai for all storage types (KV, vector, and graph)](https://github.com/HKUDS/LightRAG/blob/main/examples/lightrag_oracle_demo.py). - [x] [2024.11.11]🎯📢LightRAG now supports [deleting entities by their names](https://github.com/HKUDS/LightRAG?tab=readme-ov-file#delete-entity). @@ -327,6 +328,49 @@ with open("./newText.txt") as f: rag.insert(f.read()) ``` +### Insert Custom KG + +```python +rag = LightRAG( + working_dir=WORKING_DIR, + llm_model_func=llm_model_func, + embedding_func=EmbeddingFunc( + embedding_dim=embedding_dimension, + max_token_size=8192, + func=embedding_func, + ), +) + +custom_kg = { + "entities": [ + { + "entity_name": "CompanyA", + "entity_type": "Organization", + "description": "A major technology company", + "source_id": "Source1" + }, + { + "entity_name": "ProductX", + "entity_type": "Product", + "description": "A popular product developed by CompanyA", + "source_id": "Source1" + } + ], + "relationships": [ + { + "src_id": "CompanyA", + "tgt_id": "ProductX", + "description": "CompanyA develops ProductX", + "keywords": "develop, produce", + "weight": 1.0, + "source_id": "Source1" + } + ] +} + +rag.insert_custom_kg(custom_kg) +``` + ### Delete Entity ```python diff --git a/examples/insert_custom_kg.py b/examples/insert_custom_kg.py new file mode 100644 index 00000000..bbabe6a9 --- /dev/null +++ b/examples/insert_custom_kg.py @@ -0,0 +1,108 @@ +import os +from lightrag import LightRAG, QueryParam +from lightrag.llm import gpt_4o_mini_complete +######### +# Uncomment the below two lines if running in a jupyter notebook to handle the async nature of rag.insert() +# import nest_asyncio +# nest_asyncio.apply() +######### + +WORKING_DIR = "./custom_kg" + +if not os.path.exists(WORKING_DIR): + os.mkdir(WORKING_DIR) + +rag = LightRAG( + working_dir=WORKING_DIR, + llm_model_func=gpt_4o_mini_complete, # Use gpt_4o_mini_complete LLM model + # llm_model_func=gpt_4o_complete # Optionally, use a stronger model +) + +custom_kg = { + "entities": [ + { + "entity_name": "CompanyA", + "entity_type": "Organization", + "description": "A major technology company", + "source_id": "Source1" + }, + { + "entity_name": "ProductX", + "entity_type": "Product", + "description": "A popular product developed by CompanyA", + "source_id": "Source1" + }, + { + "entity_name": "PersonA", + "entity_type": "Person", + "description": "A renowned researcher in AI", + "source_id": "Source2" + }, + { + "entity_name": "UniversityB", + "entity_type": "Organization", + "description": "A leading university specializing in technology and sciences", + "source_id": "Source2" + }, + { + "entity_name": "CityC", + "entity_type": "Location", + "description": "A large metropolitan city known for its culture and economy", + "source_id": "Source3" + }, + { + "entity_name": "EventY", + "entity_type": "Event", + "description": "An annual technology conference held in CityC", + "source_id": "Source3" + }, + { + "entity_name": "CompanyD", + "entity_type": "Organization", + "description": "A financial services company specializing in insurance", + "source_id": "Source4" + }, + { + "entity_name": "ServiceZ", + "entity_type": "Service", + "description": "An insurance product offered by CompanyD", + "source_id": "Source4" + } + ], + "relationships": [ + { + "src_id": "CompanyA", + "tgt_id": "ProductX", + "description": "CompanyA develops ProductX", + "keywords": "develop, produce", + "weight": 1.0, + "source_id": "Source1" + }, + { + "src_id": "PersonA", + "tgt_id": "UniversityB", + "description": "PersonA works at UniversityB", + "keywords": "employment, affiliation", + "weight": 0.9, + "source_id": "Source2" + }, + { + "src_id": "CityC", + "tgt_id": "EventY", + "description": "EventY is hosted in CityC", + "keywords": "host, location", + "weight": 0.8, + "source_id": "Source3" + }, + { + "src_id": "CompanyD", + "tgt_id": "ServiceZ", + "description": "CompanyD provides ServiceZ", + "keywords": "provide, offer", + "weight": 1.0, + "source_id": "Source4" + } + ] +} + +rag.insert_custom_kg(custom_kg) diff --git a/lightrag/__init__.py b/lightrag/__init__.py index c8b61765..a8b60e55 100644 --- a/lightrag/__init__.py +++ b/lightrag/__init__.py @@ -1,5 +1,5 @@ from .lightrag import LightRAG as LightRAG, QueryParam as QueryParam -__version__ = "1.0.1" +__version__ = "1.0.2" __author__ = "Zirui Guo" __url__ = "https://github.com/HKUDS/LightRAG" diff --git a/lightrag/lightrag.py b/lightrag/lightrag.py index 28e72102..d531f4f6 100644 --- a/lightrag/lightrag.py +++ b/lightrag/lightrag.py @@ -308,6 +308,108 @@ async def _insert_done(self): tasks.append(cast(StorageNameSpace, storage_inst).index_done_callback()) await asyncio.gather(*tasks) + def insert_custom_kg(self, custom_kg: dict): + loop = always_get_an_event_loop() + return loop.run_until_complete(self.ainsert_custom_kg(custom_kg)) + + async def ainsert_custom_kg(self, custom_kg: dict): + update_storage = False + try: + # Insert entities into knowledge graph + all_entities_data = [] + for entity_data in custom_kg.get("entities", []): + entity_name = f'"{entity_data["entity_name"].upper()}"' + entity_type = entity_data.get("entity_type", "UNKNOWN") + description = entity_data.get("description", "No description provided") + source_id = entity_data["source_id"] + + # Prepare node data + node_data = { + "entity_type": entity_type, + "description": description, + "source_id": source_id, + } + # Insert node data into the knowledge graph + await self.chunk_entity_relation_graph.upsert_node( + entity_name, node_data=node_data + ) + node_data["entity_name"] = entity_name + all_entities_data.append(node_data) + update_storage = True + + # Insert relationships into knowledge graph + all_relationships_data = [] + for relationship_data in custom_kg.get("relationships", []): + src_id = f'"{relationship_data["src_id"].upper()}"' + tgt_id = f'"{relationship_data["tgt_id"].upper()}"' + description = relationship_data["description"] + keywords = relationship_data["keywords"] + weight = relationship_data.get("weight", 1.0) + source_id = relationship_data["source_id"] + + # Check if nodes exist in the knowledge graph + for need_insert_id in [src_id, tgt_id]: + if not ( + await self.chunk_entity_relation_graph.has_node(need_insert_id) + ): + await self.chunk_entity_relation_graph.upsert_node( + need_insert_id, + node_data={ + "source_id": source_id, + "description": "UNKNOWN", + "entity_type": "UNKNOWN", + }, + ) + + # Insert edge into the knowledge graph + await self.chunk_entity_relation_graph.upsert_edge( + src_id, + tgt_id, + edge_data={ + "weight": weight, + "description": description, + "keywords": keywords, + "source_id": source_id, + }, + ) + edge_data = { + "src_id": src_id, + "tgt_id": tgt_id, + "description": description, + "keywords": keywords, + } + all_relationships_data.append(edge_data) + update_storage = True + + # Insert entities into vector storage if needed + if self.entities_vdb is not None: + data_for_vdb = { + compute_mdhash_id(dp["entity_name"], prefix="ent-"): { + "content": dp["entity_name"] + dp["description"], + "entity_name": dp["entity_name"], + } + for dp in all_entities_data + } + await self.entities_vdb.upsert(data_for_vdb) + + # Insert relationships into vector storage if needed + if self.relationships_vdb is not None: + data_for_vdb = { + compute_mdhash_id(dp["src_id"] + dp["tgt_id"], prefix="rel-"): { + "src_id": dp["src_id"], + "tgt_id": dp["tgt_id"], + "content": dp["keywords"] + + dp["src_id"] + + dp["tgt_id"] + + dp["description"], + } + for dp in all_relationships_data + } + await self.relationships_vdb.upsert(data_for_vdb) + finally: + if update_storage: + await self._insert_done() + def query(self, query: str, param: QueryParam = QueryParam()): loop = always_get_an_event_loop() return loop.run_until_complete(self.aquery(query, param)) From cbcc449683dc178f880b5b023b801282b1300129 Mon Sep 17 00:00:00 2001 From: =?UTF-8?q?=E2=9C=A8Data=20Intelligence=20Lab=40HKU=E2=9C=A8?= <118165258+HKUDS@users.noreply.github.com> Date: Mon, 25 Nov 2024 18:18:04 +0800 Subject: [PATCH 211/258] Update README.md --- README.md | 4 ++-- 1 file changed, 2 insertions(+), 2 deletions(-) diff --git a/README.md b/README.md index 155d20bb..ce14e3bb 100644 --- a/README.md +++ b/README.md @@ -26,8 +26,8 @@ This repository hosts the code of LightRAG. The structure of this code is based ## 🎉 News -- [x] [2024.11.25]🎯📢LightRAG now supports [custom KG insertion](https://github.com/HKUDS/LightRAG?tab=readme-ov-file#insert-custom-kg). -- [x] [2024.11.19]🎯📢A comprehensive guide to LightRAG is now available on [LearnOpenCV](https://learnopencv.com/lightrag). Many thanks to the blog author! +- [x] [2024.11.25]🎯📢LightRAG now supports seamless integration of [custom knowledge graphs](https://github.com/HKUDS/LightRAG?tab=readme-ov-file#insert-custom-kg), empowering users to enhance the system with their own domain expertise. +- [x] [2024.11.19]🎯📢A comprehensive guide to LightRAG is now available on [LearnOpenCV](https://learnopencv.com/lightrag). Many thanks to the blog author. - [x] [2024.11.12]🎯📢LightRAG now supports [Oracle Database 23ai for all storage types (KV, vector, and graph)](https://github.com/HKUDS/LightRAG/blob/main/examples/lightrag_oracle_demo.py). - [x] [2024.11.11]🎯📢LightRAG now supports [deleting entities by their names](https://github.com/HKUDS/LightRAG?tab=readme-ov-file#delete-entity). - [x] [2024.11.09]🎯📢Introducing the [LightRAG Gui](https://lightrag-gui.streamlit.app), which allows you to insert, query, visualize, and download LightRAG knowledge. From 7cd06159e0fd56dd17511f3221c01446ab6cae25 Mon Sep 17 00:00:00 2001 From: jin <52519003+jin38324@users.noreply.github.com> Date: Tue, 26 Nov 2024 10:19:28 +0800 Subject: [PATCH 212/258] add LightRAG init parameters in readme also fix some error --- README.md | 29 ++++++++++++++++++++ examples/lightrag_api_oracle_demo..py | 3 ++- examples/lightrag_oracle_demo.py | 4 +-- lightrag/llm.py | 2 +- lightrag/operate.py | 38 +++++++++++++-------------- 5 files changed, 53 insertions(+), 23 deletions(-) diff --git a/README.md b/README.md index 6d5af135..ad0b66ef 100644 --- a/README.md +++ b/README.md @@ -511,6 +511,35 @@ if __name__ == "__main__":
+### LightRAG init parameters + +| **Parameter** | **Type** | **Explanation** | **Default** | +| --- | --- | --- | --- | +| **working\_dir** | `str` | Directory where the cache will be stored | `lightrag_cache+timestamp` | +| **kv\_storage** | `str` | Storage type for documents and text chunks. Supported types: `JsonKVStorage`, `OracleKVStorage` | `JsonKVStorage` | +| **vector\_storage** | `str` | Storage type for embedding vectors. Supported types: `NanoVectorDBStorage`, `OracleVectorDBStorage` | `NanoVectorDBStorage` | +| **graph\_storage** | `str` | Storage type for graph edges and nodes. Supported types: `NetworkXStorage`, `Neo4JStorage`, `OracleGraphStorage` | `NetworkXStorage` | +| **log\_level** | | Log level for application runtime | `logging.DEBUG` | +| **chunk\_token\_size** | `int` | Maximum token size per chunk when splitting documents | `1200` | +| **chunk\_overlap\_token\_size** | `int` | Overlap token size between two chunks when splitting documents | `100` | +| **tiktoken\_model\_name** | `str` | Model name for the Tiktoken encoder used to calculate token numbers | `gpt-4o-mini` | +| **entity\_extract\_max\_gleaning** | `int` | Number of loops in the entity extraction process, appending history messages | `1` | +| **entity\_summary\_to\_max\_tokens** | `int` | Maximum token size for each entity summary | `500` | +| **node\_embedding\_algorithm** | `str` | Algorithm for node embedding (currently not used) | `node2vec` | +| **node2vec\_params** | `dict` | Parameters for node embedding | `{"dimensions": 1536,"num_walks": 10,"walk_length": 40,"window_size": 2,"iterations": 3,"random_seed": 3,}` | +| **embedding\_func** | `EmbeddingFunc` | Function to generate embedding vectors from text | `openai_embedding` | +| **embedding\_batch\_num** | `int` | Maximum batch size for embedding processes (multiple texts sent per batch) | `32` | +| **embedding\_func\_max\_async** | `int` | Maximum number of concurrent asynchronous embedding processes | `16` | +| **llm\_model\_func** | `callable` | Function for LLM generation | `gpt_4o_mini_complete` | +| **llm\_model\_name** | `str` | LLM model name for generation | `meta-llama/Llama-3.2-1B-Instruct` | +| **llm\_model\_max\_token\_size** | `int` | Maximum token size for LLM generation (affects entity relation summaries) | `32768` | +| **llm\_model\_max\_async** | `int` | Maximum number of concurrent asynchronous LLM processes | `16` | +| **llm\_model\_kwargs** | `dict` | Additional parameters for LLM generation | | +| **vector\_db\_storage\_cls\_kwargs** | `dict` | Additional parameters for vector database (currently not used) | | +| **enable\_llm\_cache** | `bool` | If `TRUE`, stores LLM results in cache; repeated prompts return cached responses | `TRUE` | +| **addon\_params** | `dict` | Additional parameters, e.g., `{"example_number": 1, "language": "Simplified Chinese"}`: sets example limit and output language | `example_number: all examples, language: English` | +| **convert\_response\_to\_json\_func** | `callable` | Not used | `convert_response_to_json` | + ## API Server Implementation LightRAG also provides a FastAPI-based server implementation for RESTful API access to RAG operations. This allows you to run LightRAG as a service and interact with it through HTTP requests. diff --git a/examples/lightrag_api_oracle_demo..py b/examples/lightrag_api_oracle_demo..py index 8aaa2cf5..774ef61f 100644 --- a/examples/lightrag_api_oracle_demo..py +++ b/examples/lightrag_api_oracle_demo..py @@ -81,7 +81,7 @@ async def get_embedding_dim(): async def init(): # Detect embedding dimension - embedding_dimension = 1024 # await get_embedding_dim() + embedding_dimension = await get_embedding_dim() print(f"Detected embedding dimension: {embedding_dimension}") # Create Oracle DB connection # The `config` parameter is the connection configuration of Oracle DB @@ -105,6 +105,7 @@ async def init(): await oracle_db.check_tables() # Initialize LightRAG # We use Oracle DB as the KV/vector/graph storage + # You can add `addon_params={"example_number": 1, "language": "Simplfied Chinese"}` to control the prompt rag = LightRAG( enable_llm_cache=False, working_dir=WORKING_DIR, diff --git a/examples/lightrag_oracle_demo.py b/examples/lightrag_oracle_demo.py index 630c1fd8..02fb569d 100644 --- a/examples/lightrag_oracle_demo.py +++ b/examples/lightrag_oracle_demo.py @@ -84,6 +84,7 @@ async def main(): # Initialize LightRAG # We use Oracle DB as the KV/vector/graph storage + # You can add `addon_params={"example_number": 1, "language": "Simplfied Chinese"}` to control the prompt rag = LightRAG( enable_llm_cache=False, working_dir=WORKING_DIR, @@ -96,8 +97,7 @@ async def main(): ), graph_storage="OracleGraphStorage", kv_storage="OracleKVStorage", - vector_storage="OracleVectorDBStorage", - addon_params={"example_number": 1, "language": "Simplfied Chinese"}, + vector_storage="OracleVectorDBStorage" ) # Setthe KV/vector/graph storage's `db` property, so all operation will use same connection pool diff --git a/lightrag/llm.py b/lightrag/llm.py index d3729941..6a191a0f 100644 --- a/lightrag/llm.py +++ b/lightrag/llm.py @@ -72,7 +72,7 @@ async def openai_complete_if_cache( content = response.choices[0].message.content if r"\u" in content: content = content.encode("utf-8").decode("unicode_escape") - print(content) + # print(content) if hashing_kv is not None: await hashing_kv.upsert( {args_hash: {"return": response.choices[0].message.content, "model": model}} diff --git a/lightrag/operate.py b/lightrag/operate.py index c4740e70..4265ebcb 100644 --- a/lightrag/operate.py +++ b/lightrag/operate.py @@ -571,19 +571,19 @@ async def _build_query_context( hl_text_units_context, ) return f""" -# -----Entities----- -# ```csv -# {entities_context} -# ``` -# -----Relationships----- -# ```csv -# {relations_context} -# ``` -# -----Sources----- -# ```csv -# {text_units_context} -# ``` -# """ +-----Entities----- +```csv +{entities_context} +``` +-----Relationships----- +```csv +{relations_context} +``` +-----Sources----- +```csv +{text_units_context} +``` +""" async def _get_node_data( @@ -593,18 +593,18 @@ async def _get_node_data( text_chunks_db: BaseKVStorage[TextChunkSchema], query_param: QueryParam, ): - # 获取相似的实体 + # get similar entities results = await entities_vdb.query(query, top_k=query_param.top_k) if not len(results): return None - # 获取实体信息 + # get entity information node_datas = await asyncio.gather( *[knowledge_graph_inst.get_node(r["entity_name"]) for r in results] ) if not all([n is not None for n in node_datas]): logger.warning("Some nodes are missing, maybe the storage is damaged") - # 获取实体的度 + # get entity degree node_degrees = await asyncio.gather( *[knowledge_graph_inst.node_degree(r["entity_name"]) for r in results] ) @@ -613,11 +613,11 @@ async def _get_node_data( for k, n, d in zip(results, node_datas, node_degrees) if n is not None ] # what is this text_chunks_db doing. dont remember it in airvx. check the diagram. - # 根据实体获取文本片段 + # get entitytext chunk use_text_units = await _find_most_related_text_unit_from_entities( node_datas, query_param, text_chunks_db, knowledge_graph_inst ) - # 获取关联的边 + # get relate edges use_relations = await _find_most_related_edges_from_entities( node_datas, query_param, knowledge_graph_inst ) @@ -625,7 +625,7 @@ async def _get_node_data( f"Local query uses {len(node_datas)} entites, {len(use_relations)} relations, {len(use_text_units)} text units" ) - # 构建提示词 + # build prompt entites_section_list = [["id", "entity", "type", "description", "rank"]] for i, n in enumerate(node_datas): entites_section_list.append( From 8c88599abcfdd33ac557f77b66121d8b637461ac Mon Sep 17 00:00:00 2001 From: jin <52519003+jin38324@users.noreply.github.com> Date: Tue, 26 Nov 2024 10:21:39 +0800 Subject: [PATCH 213/258] fix formate --- examples/lightrag_oracle_demo.py | 2 +- lightrag/operate.py | 2 +- 2 files changed, 2 insertions(+), 2 deletions(-) diff --git a/examples/lightrag_oracle_demo.py b/examples/lightrag_oracle_demo.py index 02fb569d..2aa47c78 100644 --- a/examples/lightrag_oracle_demo.py +++ b/examples/lightrag_oracle_demo.py @@ -97,7 +97,7 @@ async def main(): ), graph_storage="OracleGraphStorage", kv_storage="OracleKVStorage", - vector_storage="OracleVectorDBStorage" + vector_storage="OracleVectorDBStorage", ) # Setthe KV/vector/graph storage's `db` property, so all operation will use same connection pool diff --git a/lightrag/operate.py b/lightrag/operate.py index 4265ebcb..c36af2f3 100644 --- a/lightrag/operate.py +++ b/lightrag/operate.py @@ -613,7 +613,7 @@ async def _get_node_data( for k, n, d in zip(results, node_datas, node_degrees) if n is not None ] # what is this text_chunks_db doing. dont remember it in airvx. check the diagram. - # get entitytext chunk + # get entitytext chunk use_text_units = await _find_most_related_text_unit_from_entities( node_datas, query_param, text_chunks_db, knowledge_graph_inst ) From 0edb9583571f770206e0e2065f79b44c6023cbed Mon Sep 17 00:00:00 2001 From: jin <52519003+jin38324@users.noreply.github.com> Date: Wed, 27 Nov 2024 15:20:10 +0800 Subject: [PATCH 214/258] Update insert_custom_kg.py --- examples/insert_custom_kg.py | 32 ++++++++++++++++---------------- 1 file changed, 16 insertions(+), 16 deletions(-) diff --git a/examples/insert_custom_kg.py b/examples/insert_custom_kg.py index bbabe6a9..19da0f29 100644 --- a/examples/insert_custom_kg.py +++ b/examples/insert_custom_kg.py @@ -1,5 +1,5 @@ import os -from lightrag import LightRAG, QueryParam +from lightrag import LightRAG from lightrag.llm import gpt_4o_mini_complete ######### # Uncomment the below two lines if running in a jupyter notebook to handle the async nature of rag.insert() @@ -24,50 +24,50 @@ "entity_name": "CompanyA", "entity_type": "Organization", "description": "A major technology company", - "source_id": "Source1" + "source_id": "Source1", }, { "entity_name": "ProductX", "entity_type": "Product", "description": "A popular product developed by CompanyA", - "source_id": "Source1" + "source_id": "Source1", }, { "entity_name": "PersonA", "entity_type": "Person", "description": "A renowned researcher in AI", - "source_id": "Source2" + "source_id": "Source2", }, { "entity_name": "UniversityB", "entity_type": "Organization", "description": "A leading university specializing in technology and sciences", - "source_id": "Source2" + "source_id": "Source2", }, { "entity_name": "CityC", "entity_type": "Location", "description": "A large metropolitan city known for its culture and economy", - "source_id": "Source3" + "source_id": "Source3", }, { "entity_name": "EventY", "entity_type": "Event", "description": "An annual technology conference held in CityC", - "source_id": "Source3" + "source_id": "Source3", }, { "entity_name": "CompanyD", "entity_type": "Organization", "description": "A financial services company specializing in insurance", - "source_id": "Source4" + "source_id": "Source4", }, { "entity_name": "ServiceZ", "entity_type": "Service", "description": "An insurance product offered by CompanyD", - "source_id": "Source4" - } + "source_id": "Source4", + }, ], "relationships": [ { @@ -76,7 +76,7 @@ "description": "CompanyA develops ProductX", "keywords": "develop, produce", "weight": 1.0, - "source_id": "Source1" + "source_id": "Source1", }, { "src_id": "PersonA", @@ -84,7 +84,7 @@ "description": "PersonA works at UniversityB", "keywords": "employment, affiliation", "weight": 0.9, - "source_id": "Source2" + "source_id": "Source2", }, { "src_id": "CityC", @@ -92,7 +92,7 @@ "description": "EventY is hosted in CityC", "keywords": "host, location", "weight": 0.8, - "source_id": "Source3" + "source_id": "Source3", }, { "src_id": "CompanyD", @@ -100,9 +100,9 @@ "description": "CompanyD provides ServiceZ", "keywords": "provide, offer", "weight": 1.0, - "source_id": "Source4" - } - ] + "source_id": "Source4", + }, + ], } rag.insert_custom_kg(custom_kg) From eaa3b5e8adcf847bc83d16771eb27c2506e132af Mon Sep 17 00:00:00 2001 From: zrguo <49157727+LarFii@users.noreply.github.com> Date: Wed, 27 Nov 2024 18:48:10 +0800 Subject: [PATCH 215/258] Update README.md --- README.md | 2 +- 1 file changed, 1 insertion(+), 1 deletion(-) diff --git a/README.md b/README.md index 893969f9..4181e98a 100644 --- a/README.md +++ b/README.md @@ -12,7 +12,7 @@

- +

From b0483ae91d4f6811cc2ebcf36fb2f209765617d3 Mon Sep 17 00:00:00 2001 From: Sebastian Schramm Date: Thu, 28 Nov 2024 14:28:29 +0100 Subject: [PATCH 216/258] fix templating of language in prompts --- lightrag/operate.py | 9 ++++++++- lightrag/prompt.py | 6 +++--- 2 files changed, 11 insertions(+), 4 deletions(-) diff --git a/lightrag/operate.py b/lightrag/operate.py index c761519f..94cd412b 100644 --- a/lightrag/operate.py +++ b/lightrag/operate.py @@ -59,6 +59,9 @@ async def _handle_entity_relation_summary( llm_max_tokens = global_config["llm_model_max_token_size"] tiktoken_model_name = global_config["tiktoken_model_name"] summary_max_tokens = global_config["entity_summary_to_max_tokens"] + language = global_config["addon_params"].get( + "language", PROMPTS["DEFAULT_LANGUAGE"] + ) tokens = encode_string_by_tiktoken(description, model_name=tiktoken_model_name) if len(tokens) < summary_max_tokens: # No need for summary @@ -70,6 +73,7 @@ async def _handle_entity_relation_summary( context_base = dict( entity_name=entity_or_relation_name, description_list=use_description.split(GRAPH_FIELD_SEP), + language=language, ) use_prompt = prompt_template.format(**context_base) logger.debug(f"Trigger summary: {entity_or_relation_name}") @@ -444,6 +448,9 @@ async def kg_query( ) else: examples = "\n".join(PROMPTS["keywords_extraction_examples"]) + language = global_config["addon_params"].get( + "language", PROMPTS["DEFAULT_LANGUAGE"] + ) # Set mode if query_param.mode not in ["local", "global", "hybrid"]: @@ -453,7 +460,7 @@ async def kg_query( # LLM generate keywords use_model_func = global_config["llm_model_func"] kw_prompt_temp = PROMPTS["keywords_extraction"] - kw_prompt = kw_prompt_temp.format(query=query, examples=examples) + kw_prompt = kw_prompt_temp.format(query=query, examples=examples, language=language) result = await use_model_func(kw_prompt) logger.info("kw_prompt result:") print(result) diff --git a/lightrag/prompt.py b/lightrag/prompt.py index 0d4e599d..5e71c081 100644 --- a/lightrag/prompt.py +++ b/lightrag/prompt.py @@ -33,7 +33,7 @@ 3. Identify high-level key words that summarize the main concepts, themes, or topics of the entire text. These should capture the overarching ideas present in the document. Format the content-level key words as ("content_keywords"{tuple_delimiter}) -4. Return output in English as a single list of all the entities and relationships identified in steps 1 and 2. Use **{record_delimiter}** as the list delimiter. +4. Return output in {language} as a single list of all the entities and relationships identified in steps 1 and 2. Use **{record_delimiter}** as the list delimiter. 5. When finished, output {completion_delimiter} @@ -131,7 +131,7 @@ Please concatenate all of these into a single, comprehensive description. Make sure to include information collected from all the descriptions. If the provided descriptions are contradictory, please resolve the contradictions and provide a single, coherent summary. Make sure it is written in third person, and include the entity names so we the have full context. -Use Chinese as output language. +Use {language} as output language. ####### -Data- @@ -178,7 +178,7 @@ PROMPTS["keywords_extraction"] = """---Role--- You are a helpful assistant tasked with identifying both high-level and low-level keywords in the user's query. -Use Chinese as output language. +Use {language} as output language. ---Goal--- From f88b573e66e7a9801937b0b2e244fc70e21dcc3a Mon Sep 17 00:00:00 2001 From: donbr Date: Thu, 28 Nov 2024 20:08:19 -0800 Subject: [PATCH 217/258] Update README.md to move Neo4j Storage content Move `Using Neo4J for Storage` content outside of Ollama details group for improved visibility to this option. --- README.md | 55 +++++++++++++++++++++++++++---------------------------- 1 file changed, 27 insertions(+), 28 deletions(-) diff --git a/README.md b/README.md index 4181e98a..269e8249 100644 --- a/README.md +++ b/README.md @@ -203,34 +203,6 @@ rag = LightRAG( ) ``` -### Using Neo4J for Storage - -* For production level scenarios you will most likely want to leverage an enterprise solution -* for KG storage. Running Neo4J in Docker is recommended for seamless local testing. -* See: https://hub.docker.com/_/neo4j - - -```python -export NEO4J_URI="neo4j://localhost:7687" -export NEO4J_USERNAME="neo4j" -export NEO4J_PASSWORD="password" - -When you launch the project be sure to override the default KG: NetworkS -by specifying kg="Neo4JStorage". - -# Note: Default settings use NetworkX -#Initialize LightRAG with Neo4J implementation. -WORKING_DIR = "./local_neo4jWorkDir" - -rag = LightRAG( - working_dir=WORKING_DIR, - llm_model_func=gpt_4o_mini_complete, # Use gpt_4o_mini_complete LLM model - kg="Neo4JStorage", #<-----------override KG default - log_level="DEBUG" #<-----------override log_level default -) -``` -see test_neo4j.py for a working example. - ### Increasing context size In order for LightRAG to work context should be at least 32k tokens. By default Ollama models have context size of 8k. You can achieve this using one of two ways: @@ -328,6 +300,33 @@ with open("./newText.txt") as f: rag.insert(f.read()) ``` +### Using Neo4J for Storage + +* For production level scenarios you will most likely want to leverage an enterprise solution +* for KG storage. Running Neo4J in Docker is recommended for seamless local testing. +* See: https://hub.docker.com/_/neo4j + +```python +export NEO4J_URI="neo4j://localhost:7687" +export NEO4J_USERNAME="neo4j" +export NEO4J_PASSWORD="password" + +# When you launch the project be sure to override the default KG: NetworkX +# by specifying kg="Neo4JStorage". + +# Note: Default settings use NetworkX +# Initialize LightRAG with Neo4J implementation. +WORKING_DIR = "./local_neo4jWorkDir" + +rag = LightRAG( + working_dir=WORKING_DIR, + llm_model_func=gpt_4o_mini_complete, # Use gpt_4o_mini_complete LLM model + kg="Neo4JStorage", #<-----------override KG default + log_level="DEBUG" #<-----------override log_level default +) +``` +see test_neo4j.py for a working example. + ### Insert Custom KG ```python From 753c1e67140efc2e2d05dc8c126a42abb6f0ee33 Mon Sep 17 00:00:00 2001 From: b10902118 Date: Fri, 29 Nov 2024 21:41:37 +0800 Subject: [PATCH 218/258] support JSON output for ollama and openai --- lightrag/llm.py | 52 +++++++++++++++++++++++++++++++++------------ lightrag/operate.py | 6 +++--- lightrag/utils.py | 2 +- 3 files changed, 42 insertions(+), 18 deletions(-) diff --git a/lightrag/llm.py b/lightrag/llm.py index 6a191a0f..e251feb9 100644 --- a/lightrag/llm.py +++ b/lightrag/llm.py @@ -29,7 +29,11 @@ from pydantic import BaseModel, Field from typing import List, Dict, Callable, Any from .base import BaseKVStorage -from .utils import compute_args_hash, wrap_embedding_func_with_attrs +from .utils import ( + compute_args_hash, + wrap_embedding_func_with_attrs, + locate_json_string_body_from_string, +) os.environ["TOKENIZERS_PARALLELISM"] = "false" @@ -301,7 +305,7 @@ async def ollama_model_if_cache( model, prompt, system_prompt=None, history_messages=[], **kwargs ) -> str: kwargs.pop("max_tokens", None) - kwargs.pop("response_format", None) + # kwargs.pop("response_format", None) # allow json host = kwargs.pop("host", None) timeout = kwargs.pop("timeout", None) @@ -345,9 +349,9 @@ def initialize_lmdeploy_pipeline( backend_config=TurbomindEngineConfig( tp=tp, model_format=model_format, quant_policy=quant_policy ), - chat_template_config=ChatTemplateConfig(model_name=chat_template) - if chat_template - else None, + chat_template_config=( + ChatTemplateConfig(model_name=chat_template) if chat_template else None + ), log_level="WARNING", ) return lmdeploy_pipe @@ -458,9 +462,16 @@ async def lmdeploy_model_if_cache( return response +class GPTKeywordExtractionFormat(BaseModel): + high_level_keywords: List[str] + low_level_keywords: List[str] + + async def gpt_4o_complete( - prompt, system_prompt=None, history_messages=[], **kwargs + prompt, system_prompt=None, history_messages=[], keyword_extraction=False, **kwargs ) -> str: + if keyword_extraction: + kwargs["response_format"] = GPTKeywordExtractionFormat return await openai_complete_if_cache( "gpt-4o", prompt, @@ -471,8 +482,10 @@ async def gpt_4o_complete( async def gpt_4o_mini_complete( - prompt, system_prompt=None, history_messages=[], **kwargs + prompt, system_prompt=None, history_messages=[], keyword_extraction=False, **kwargs ) -> str: + if keyword_extraction: + kwargs["response_format"] = GPTKeywordExtractionFormat return await openai_complete_if_cache( "gpt-4o-mini", prompt, @@ -483,45 +496,56 @@ async def gpt_4o_mini_complete( async def azure_openai_complete( - prompt, system_prompt=None, history_messages=[], **kwargs + prompt, system_prompt=None, history_messages=[], keyword_extraction=False, **kwargs ) -> str: - return await azure_openai_complete_if_cache( + result = await azure_openai_complete_if_cache( "conversation-4o-mini", prompt, system_prompt=system_prompt, history_messages=history_messages, **kwargs, ) + if keyword_extraction: # TODO: use JSON API + return locate_json_string_body_from_string(result) + return result async def bedrock_complete( - prompt, system_prompt=None, history_messages=[], **kwargs + prompt, system_prompt=None, history_messages=[], keyword_extraction=False, **kwargs ) -> str: - return await bedrock_complete_if_cache( + result = await bedrock_complete_if_cache( "anthropic.claude-3-haiku-20240307-v1:0", prompt, system_prompt=system_prompt, history_messages=history_messages, **kwargs, ) + if keyword_extraction: # TODO: use JSON API + return locate_json_string_body_from_string(result) + return result async def hf_model_complete( - prompt, system_prompt=None, history_messages=[], **kwargs + prompt, system_prompt=None, history_messages=[], keyword_extraction=False, **kwargs ) -> str: model_name = kwargs["hashing_kv"].global_config["llm_model_name"] - return await hf_model_if_cache( + result = await hf_model_if_cache( model_name, prompt, system_prompt=system_prompt, history_messages=history_messages, **kwargs, ) + if keyword_extraction: # TODO: use JSON API + return locate_json_string_body_from_string(result) + return result async def ollama_model_complete( - prompt, system_prompt=None, history_messages=[], **kwargs + prompt, system_prompt=None, history_messages=[], keyword_extraction=False, **kwargs ) -> str: + if keyword_extraction: + kwargs["response_format"] = "json" model_name = kwargs["hashing_kv"].global_config["llm_model_name"] return await ollama_model_if_cache( model_name, diff --git a/lightrag/operate.py b/lightrag/operate.py index 94cd412b..4088f0ef 100644 --- a/lightrag/operate.py +++ b/lightrag/operate.py @@ -461,12 +461,12 @@ async def kg_query( use_model_func = global_config["llm_model_func"] kw_prompt_temp = PROMPTS["keywords_extraction"] kw_prompt = kw_prompt_temp.format(query=query, examples=examples, language=language) - result = await use_model_func(kw_prompt) + result = await use_model_func(kw_prompt, keyword_extraction=True) logger.info("kw_prompt result:") print(result) try: - json_text = locate_json_string_body_from_string(result) - keywords_data = json.loads(json_text) + # json_text = locate_json_string_body_from_string(result) # handled in use_model_func + keywords_data = json.loads(result) hl_keywords = keywords_data.get("high_level_keywords", []) ll_keywords = keywords_data.get("low_level_keywords", []) diff --git a/lightrag/utils.py b/lightrag/utils.py index bdd1aa9e..8997b651 100644 --- a/lightrag/utils.py +++ b/lightrag/utils.py @@ -54,7 +54,7 @@ def locate_json_string_body_from_string(content: str) -> Union[str, None]: maybe_json_str = maybe_json_str.replace("\\n", "") maybe_json_str = maybe_json_str.replace("\n", "") maybe_json_str = maybe_json_str.replace("'", '"') - json.loads(maybe_json_str) + # json.loads(maybe_json_str) # don't check here, cannot validate schema after all return maybe_json_str except Exception: pass From 0ab55da47af8cab748caa566a2ddbafbf58ac7e5 Mon Sep 17 00:00:00 2001 From: b10902118 Date: Sat, 30 Nov 2024 00:00:51 +0800 Subject: [PATCH 219/258] fix error and tested --- lightrag/llm.py | 13 +++++++++---- 1 file changed, 9 insertions(+), 4 deletions(-) diff --git a/lightrag/llm.py b/lightrag/llm.py index e251feb9..12a4d5a6 100644 --- a/lightrag/llm.py +++ b/lightrag/llm.py @@ -70,9 +70,14 @@ async def openai_complete_if_cache( if if_cache_return is not None: return if_cache_return["return"] - response = await openai_async_client.chat.completions.create( - model=model, messages=messages, **kwargs - ) + if "response_format" in kwargs: + response = await openai_async_client.beta.chat.completions.parse( + model=model, messages=messages, **kwargs + ) + else: + response = await openai_async_client.chat.completions.create( + model=model, messages=messages, **kwargs + ) content = response.choices[0].message.content if r"\u" in content: content = content.encode("utf-8").decode("unicode_escape") @@ -545,7 +550,7 @@ async def ollama_model_complete( prompt, system_prompt=None, history_messages=[], keyword_extraction=False, **kwargs ) -> str: if keyword_extraction: - kwargs["response_format"] = "json" + kwargs["format"] = "json" model_name = kwargs["hashing_kv"].global_config["llm_model_name"] return await ollama_model_if_cache( model_name, From eae310cd6887916285d0700f24b56f798fdc92f9 Mon Sep 17 00:00:00 2001 From: Tasha Upchurch Date: Fri, 29 Nov 2024 13:27:08 -0700 Subject: [PATCH 220/258] fix for #209 function was returning a closed event loop. --- lightrag/lightrag.py | 23 ++++++++++++++++++----- 1 file changed, 18 insertions(+), 5 deletions(-) diff --git a/lightrag/lightrag.py b/lightrag/lightrag.py index cec21b2f..6511e61b 100644 --- a/lightrag/lightrag.py +++ b/lightrag/lightrag.py @@ -52,15 +52,28 @@ def always_get_an_event_loop() -> asyncio.AbstractEventLoop: + """ + Ensure that there is always an event loop available. + + This function tries to get the current event loop. If the current event loop is closed or does not exist, + it creates a new event loop and sets it as the current event loop. + + Returns: + asyncio.AbstractEventLoop: The current or newly created event loop. + """ try: - return asyncio.get_event_loop() + # Try to get the current event loop + current_loop = asyncio.get_event_loop() + if current_loop._closed: + raise RuntimeError("Event loop is closed.") + return current_loop except RuntimeError: + # If no event loop exists or it is closed, create a new one logger.info("Creating a new event loop in main thread.") - loop = asyncio.new_event_loop() - asyncio.set_event_loop(loop) - - return loop + new_loop = asyncio.new_event_loop() + asyncio.set_event_loop(new_loop) + return new_loop @dataclass From 7fea7d7b5e3b26c10998886e63fd8743ced05eda Mon Sep 17 00:00:00 2001 From: Ahmad Hatahet Date: Sat, 30 Nov 2024 17:11:38 +0100 Subject: [PATCH 221/258] add api_version to args --- lightrag/llm.py | 3 +++ 1 file changed, 3 insertions(+) diff --git a/lightrag/llm.py b/lightrag/llm.py index 6a191a0f..3c4f9543 100644 --- a/lightrag/llm.py +++ b/lightrag/llm.py @@ -567,11 +567,14 @@ async def azure_openai_embedding( model: str = "text-embedding-3-small", base_url: str = None, api_key: str = None, + api_version: str = None, ) -> np.ndarray: if api_key: os.environ["AZURE_OPENAI_API_KEY"] = api_key if base_url: os.environ["AZURE_OPENAI_ENDPOINT"] = base_url + if api_version: + os.environ["AZURE_OPENAI_API_VERSION"] = api_version openai_async_client = AsyncAzureOpenAI( azure_endpoint=os.getenv("AZURE_OPENAI_ENDPOINT"), From 23cabbe7a35ee7fe6cd16504e76a662ddcdce315 Mon Sep 17 00:00:00 2001 From: Ahmad Hatahet Date: Sat, 30 Nov 2024 17:16:07 +0100 Subject: [PATCH 222/258] update max_token_size according to openai doc --- lightrag/llm.py | 2 +- 1 file changed, 1 insertion(+), 1 deletion(-) diff --git a/lightrag/llm.py b/lightrag/llm.py index 3c4f9543..19d22bc8 100644 --- a/lightrag/llm.py +++ b/lightrag/llm.py @@ -556,7 +556,7 @@ async def openai_embedding( return np.array([dp.embedding for dp in response.data]) -@wrap_embedding_func_with_attrs(embedding_dim=1536, max_token_size=8192) +@wrap_embedding_func_with_attrs(embedding_dim=1536, max_token_size=8191) @retry( stop=stop_after_attempt(3), wait=wait_exponential(multiplier=1, min=4, max=10), From f2814143086b95659c144e6373c45acc42257b2a Mon Sep 17 00:00:00 2001 From: Ahmad Hatahet Date: Sat, 30 Nov 2024 17:47:33 +0100 Subject: [PATCH 223/258] add api_version to azure_openai_complete_if_cache --- lightrag/llm.py | 3 +++ 1 file changed, 3 insertions(+) diff --git a/lightrag/llm.py b/lightrag/llm.py index 19d22bc8..42b89e94 100644 --- a/lightrag/llm.py +++ b/lightrag/llm.py @@ -92,12 +92,15 @@ async def azure_openai_complete_if_cache( history_messages=[], base_url=None, api_key=None, + api_version=None, **kwargs, ): if api_key: os.environ["AZURE_OPENAI_API_KEY"] = api_key if base_url: os.environ["AZURE_OPENAI_ENDPOINT"] = base_url + if api_version: + os.environ["AZURE_OPENAI_API_VERSION"] = api_version openai_async_client = AsyncAzureOpenAI( azure_endpoint=os.getenv("AZURE_OPENAI_ENDPOINT"), From 085032640c7ff40a71ad8d03bdbfdf4fa829224f Mon Sep 17 00:00:00 2001 From: b10902118 Date: Sun, 1 Dec 2024 16:09:24 +0800 Subject: [PATCH 224/258] fix with ruff (unused import) --- lightrag/operate.py | 1 - 1 file changed, 1 deletion(-) diff --git a/lightrag/operate.py b/lightrag/operate.py index 4088f0ef..74c8e5f6 100644 --- a/lightrag/operate.py +++ b/lightrag/operate.py @@ -17,7 +17,6 @@ split_string_by_multi_markers, truncate_list_by_token_size, process_combine_contexts, - locate_json_string_body_from_string, ) from .base import ( BaseGraphStorage, From 7734b81911d79e7f665cca7f19de18ed433fc5ef Mon Sep 17 00:00:00 2001 From: AdityaKalraShorthillsAI <143726711+AdityaKalraShorthillsAI@users.noreply.github.com> Date: Mon, 2 Dec 2024 02:44:47 +0530 Subject: [PATCH 225/258] Added embedding_func argument in Neo4JStorage class's __init__ method in neo4j implementation --- lightrag/kg/neo4j_impl.py | 8 ++++++-- 1 file changed, 6 insertions(+), 2 deletions(-) diff --git a/lightrag/kg/neo4j_impl.py b/lightrag/kg/neo4j_impl.py index 84efae81..5db3016f 100644 --- a/lightrag/kg/neo4j_impl.py +++ b/lightrag/kg/neo4j_impl.py @@ -27,8 +27,12 @@ class Neo4JStorage(BaseGraphStorage): def load_nx_graph(file_name): print("no preloading of graph with neo4j in production") - def __init__(self, namespace, global_config): - super().__init__(namespace=namespace, global_config=global_config) + def __init__(self, namespace, global_config, embedding_func): + super().__init__( + namespace=namespace, + global_config=global_config, + embedding_func=embedding_func, + ) self._driver = None self._driver_lock = asyncio.Lock() URI = os.environ["NEO4J_URI"] From 9f28ba0b01c57e0e5e27276859516462136f4879 Mon Sep 17 00:00:00 2001 From: jin <52519003+jin38324@users.noreply.github.com> Date: Mon, 2 Dec 2024 15:30:35 +0800 Subject: [PATCH 226/258] Update lightrag_oracle_demo.py add embedding_func for graph database, it's deleted in commit 5661d76860436f7bf5aef2e50d9ee4a59660146c This will fix the issue --- examples/lightrag_oracle_demo.py | 2 ++ 1 file changed, 2 insertions(+) diff --git a/examples/lightrag_oracle_demo.py b/examples/lightrag_oracle_demo.py index 2aa47c78..0e34618e 100644 --- a/examples/lightrag_oracle_demo.py +++ b/examples/lightrag_oracle_demo.py @@ -104,6 +104,8 @@ async def main(): rag.graph_storage_cls.db = oracle_db rag.key_string_value_json_storage_cls.db = oracle_db rag.vector_db_storage_cls.db = oracle_db + # add embedding_func for graph database, it's deleted in commit 5661d76860436f7bf5aef2e50d9ee4a59660146c + rag.chunk_entity_relation_graph.embedding_func = rag.embedding_func # Extract and Insert into LightRAG storage with open("./dickens/demo.txt", "r", encoding="utf-8") as f: From bc2b8c592e8b4e6c22aa2d4ef2a53098fbbd9fc6 Mon Sep 17 00:00:00 2001 From: partoneplay Date: Tue, 3 Dec 2024 08:41:12 +0800 Subject: [PATCH 227/258] `embedding` deprecated in favor of `embed` --- lightrag/llm.py | 9 +++++++++ 1 file changed, 9 insertions(+) diff --git a/lightrag/llm.py b/lightrag/llm.py index 7dc8b886..18b5ddd2 100644 --- a/lightrag/llm.py +++ b/lightrag/llm.py @@ -745,6 +745,9 @@ async def hf_embedding(texts: list[str], tokenizer, embed_model) -> np.ndarray: async def ollama_embedding(texts: list[str], embed_model, **kwargs) -> np.ndarray: + """ + Deprecated in favor of `embed`. + """ embed_text = [] ollama_client = ollama.Client(**kwargs) for text in texts: @@ -754,6 +757,12 @@ async def ollama_embedding(texts: list[str], embed_model, **kwargs) -> np.ndarra return embed_text +async def ollama_embed(texts: list[str], embed_model, **kwargs) -> np.ndarray: + ollama_client = ollama.Client(**kwargs) + data = ollama_client.embed(model=embed_model, input=texts) + return data["embeddings"] + + class Model(BaseModel): """ This is a Pydantic model class named 'Model' that is used to define a custom language model. From 801619084fc268891416ebdbaad4b55542b5d534 Mon Sep 17 00:00:00 2001 From: zuoluo Date: Tue, 3 Dec 2024 16:04:58 +0800 Subject: [PATCH 228/258] fix neo4jstorage bug --- README.md | 2 +- lightrag/lightrag.py | 4 +++- test_neo4j.py | 2 +- 3 files changed, 5 insertions(+), 3 deletions(-) diff --git a/README.md b/README.md index 269e8249..02ecbe4e 100644 --- a/README.md +++ b/README.md @@ -321,7 +321,7 @@ WORKING_DIR = "./local_neo4jWorkDir" rag = LightRAG( working_dir=WORKING_DIR, llm_model_func=gpt_4o_mini_complete, # Use gpt_4o_mini_complete LLM model - kg="Neo4JStorage", #<-----------override KG default + graph_storage="Neo4JStorage", #<-----------override KG default log_level="DEBUG" #<-----------override log_level default ) ``` diff --git a/lightrag/lightrag.py b/lightrag/lightrag.py index 6511e61b..2b2d4820 100644 --- a/lightrag/lightrag.py +++ b/lightrag/lightrag.py @@ -186,7 +186,9 @@ def __post_init__(self): embedding_func=self.embedding_func, ) self.chunk_entity_relation_graph = self.graph_storage_cls( - namespace="chunk_entity_relation", global_config=asdict(self) + namespace="chunk_entity_relation", + global_config=asdict(self), + embedding_func=self.embedding_func, ) #### # add embedding func by walter over diff --git a/test_neo4j.py b/test_neo4j.py index 822cd7bc..0048fc17 100644 --- a/test_neo4j.py +++ b/test_neo4j.py @@ -17,7 +17,7 @@ rag = LightRAG( working_dir=WORKING_DIR, llm_model_func=gpt_4o_mini_complete, # Use gpt_4o_mini_complete LLM model - kg="Neo4JStorage", + graph_storage="Neo4JStorage", log_level="INFO", # llm_model_func=gpt_4o_complete # Optionally, use a stronger model ) From 5f13ce1ce98269b55f130995ff13c1486f2e3694 Mon Sep 17 00:00:00 2001 From: MRX760 Date: Tue, 3 Dec 2024 17:15:10 +0700 Subject: [PATCH 229/258] added nvidia text-embedding API and example of using nvidia API llm and text-embedding --- examples/lightrag_nvidia_demo.py | 159 +++++++++++++++++++++++++++++++ lightrag/llm.py | 40 ++++++++ 2 files changed, 199 insertions(+) create mode 100644 examples/lightrag_nvidia_demo.py diff --git a/examples/lightrag_nvidia_demo.py b/examples/lightrag_nvidia_demo.py new file mode 100644 index 00000000..10d43c42 --- /dev/null +++ b/examples/lightrag_nvidia_demo.py @@ -0,0 +1,159 @@ +import os +import asyncio +from lightrag import LightRAG, QueryParam +from lightrag.llm import openai_complete_if_cache, nvidia_openai_embedding, nvidia_openai_complete +from lightrag.utils import EmbeddingFunc +import numpy as np + +#for custom llm_model_func +from lightrag.utils import locate_json_string_body_from_string + +WORKING_DIR = "./dickens" + +if not os.path.exists(WORKING_DIR): + os.mkdir(WORKING_DIR) + +#some method to use your API key (choose one) +# NVIDIA_OPENAI_API_KEY = os.getenv("NVIDIA_OPENAI_API_KEY") +NVIDIA_OPENAI_API_KEY = "nvapi-xxxx" #your api key + +# using pre-defined function for nvidia LLM API. OpenAI compatible +# llm_model_func = nvidia_openai_complete + +#If you trying to make custom llm_model_func to use llm model on NVIDIA API like other example: +async def llm_model_func( + prompt, system_prompt=None, history_messages=[], keyword_extraction=False, **kwargs +) -> str: + result = await openai_complete_if_cache( + "nvidia/llama-3.1-nemotron-70b-instruct", + prompt, + system_prompt=system_prompt, + history_messages=history_messages, + api_key=NVIDIA_OPENAI_API_KEY, + base_url="https://integrate.api.nvidia.com/v1", + **kwargs, + ) + if keyword_extraction: + return locate_json_string_body_from_string(result) + return result + +#custom embedding +nvidia_embed_model = "nvidia/nv-embedqa-e5-v5" +async def indexing_embedding_func(texts: list[str]) -> np.ndarray: + return await nvidia_openai_embedding( + texts, + model = nvidia_embed_model, #maximum 512 token + # model="nvidia/llama-3.2-nv-embedqa-1b-v1", + api_key=NVIDIA_OPENAI_API_KEY, + base_url="https://integrate.api.nvidia.com/v1", + input_type = "passage", + trunc = "END", #handling on server side if input token is longer than maximum token + encode = "float" + ) + +async def query_embedding_func(texts: list[str]) -> np.ndarray: + return await nvidia_openai_embedding( + texts, + model = nvidia_embed_model, #maximum 512 token + # model="nvidia/llama-3.2-nv-embedqa-1b-v1", + api_key=NVIDIA_OPENAI_API_KEY, + base_url="https://integrate.api.nvidia.com/v1", + input_type = "query", + trunc = "END", #handling on server side if input token is longer than maximum token + encode = "float" + ) + +#dimension are same +async def get_embedding_dim(): + test_text = ["This is a test sentence."] + embedding = await indexing_embedding_func(test_text) + embedding_dim = embedding.shape[1] + return embedding_dim + + +# function test +async def test_funcs(): + result = await llm_model_func("How are you?") + print("llm_model_func: ", result) + + result = await indexing_embedding_func(["How are you?"]) + print("embedding_func: ", result) + + +# asyncio.run(test_funcs()) + + +async def main(): + try: + embedding_dimension = await get_embedding_dim() + print(f"Detected embedding dimension: {embedding_dimension}") + + #lightRAG class during indexing + rag = LightRAG( + working_dir=WORKING_DIR, + llm_model_func=llm_model_func, + # llm_model_name="meta/llama3-70b-instruct", #un comment if + embedding_func=EmbeddingFunc( + embedding_dim=embedding_dimension, + max_token_size=512, #maximum token size, somehow it's still exceed maximum number of token + #so truncate (trunc) parameter on embedding_func will handle it and try to examine the tokenizer used in LightRAG + #so you can adjust to be able to fit the NVIDIA model (future work) + func=indexing_embedding_func, + ), + ) + + #reading file + with open("./book.txt", "r", encoding="utf-8") as f: + await rag.ainsert(f.read()) + + #redefine rag to change embedding into query type + rag = LightRAG( + working_dir=WORKING_DIR, + llm_model_func=llm_model_func, + # llm_model_name="meta/llama3-70b-instruct", #un comment if + embedding_func=EmbeddingFunc( + embedding_dim=embedding_dimension, + max_token_size=512, + func=query_embedding_func, + ), + ) + + # Perform naive search + print("==============Naive===============") + print( + await rag.aquery( + "What are the top themes in this story?", param=QueryParam(mode="naive") + ) + ) + + # Perform local search + print("==============local===============") + print( + await rag.aquery( + "What are the top themes in this story?", param=QueryParam(mode="local") + ) + ) + + # Perform global search + print("==============global===============") + print( + await rag.aquery( + "What are the top themes in this story?", + param=QueryParam(mode="global"), + ) + ) + + # Perform hybrid search + print("==============hybrid===============") + print( + await rag.aquery( + "What are the top themes in this story?", + param=QueryParam(mode="hybrid"), + ) + ) + except Exception as e: + print(f"An error occurred: {e}") + + +if __name__ == "__main__": + asyncio.run(main()) diff --git a/lightrag/llm.py b/lightrag/llm.py index 7dc8b886..b4dcb044 100644 --- a/lightrag/llm.py +++ b/lightrag/llm.py @@ -502,6 +502,20 @@ async def gpt_4o_mini_complete( **kwargs, ) +async def nvidia_openai_complete( + prompt, system_prompt=None, history_messages=[], keyword_extraction=False, **kwargs +) -> str: + result = await openai_complete_if_cache( + "nvidia/llama-3.1-nemotron-70b-instruct", #context length 128k + prompt, + system_prompt=system_prompt, + history_messages=history_messages, + base_url="https://integrate.api.nvidia.com/v1", + **kwargs, + ) + if keyword_extraction: # TODO: use JSON API + return locate_json_string_body_from_string(result) + return result async def azure_openai_complete( prompt, system_prompt=None, history_messages=[], keyword_extraction=False, **kwargs @@ -588,6 +602,32 @@ async def openai_embedding( return np.array([dp.embedding for dp in response.data]) +@wrap_embedding_func_with_attrs(embedding_dim=2048, max_token_size=512) +@retry( + stop=stop_after_attempt(3), + wait=wait_exponential(multiplier=1, min=4, max=60), + retry=retry_if_exception_type((RateLimitError, APIConnectionError, Timeout)), +) +async def nvidia_openai_embedding( + texts: list[str], + model: str = "nvidia/llama-3.2-nv-embedqa-1b-v1", #refer to https://build.nvidia.com/nim?filters=usecase%3Ausecase_text_to_embedding + base_url: str = "https://integrate.api.nvidia.com/v1", + api_key: str = None, + input_type: str = "passage", #query for retrieval, passage for embedding + trunc: str = "NONE", #NONE or START or END + encode: str = "float" #float or base64 +) -> np.ndarray: + if api_key: + os.environ["OPENAI_API_KEY"] = api_key + + openai_async_client = ( + AsyncOpenAI() if base_url is None else AsyncOpenAI(base_url=base_url) + ) + response = await openai_async_client.embeddings.create( + model=model, input=texts, encoding_format=encode, extra_body={"input_type": input_type, "truncate": trunc} + ) + return np.array([dp.embedding for dp in response.data]) + @wrap_embedding_func_with_attrs(embedding_dim=1536, max_token_size=8191) @retry( stop=stop_after_attempt(3), From 3a6645b78d4d238b746db958191f916578676840 Mon Sep 17 00:00:00 2001 From: Yizhi Zhang <39414681+Ecocytus@users.noreply.github.com> Date: Tue, 3 Dec 2024 22:25:50 +0800 Subject: [PATCH 230/258] fix bug of example prompt --- lightrag/operate.py | 10 ++++++++++ lightrag/prompt.py | 2 +- 2 files changed, 11 insertions(+), 1 deletion(-) diff --git a/lightrag/operate.py b/lightrag/operate.py index 74c8e5f6..a40af9e0 100644 --- a/lightrag/operate.py +++ b/lightrag/operate.py @@ -264,6 +264,16 @@ async def extract_entities( else: examples = "\n".join(PROMPTS["entity_extraction_examples"]) + example_context_base = dict( + tuple_delimiter=PROMPTS["DEFAULT_TUPLE_DELIMITER"], + record_delimiter=PROMPTS["DEFAULT_RECORD_DELIMITER"], + completion_delimiter=PROMPTS["DEFAULT_COMPLETION_DELIMITER"], + entity_types=",".join(PROMPTS["DEFAULT_ENTITY_TYPES"]), + language=language, + ) + # add example's format + examples = examples.format(**example_context_base) + entity_extract_prompt = PROMPTS["entity_extraction"] context_base = dict( tuple_delimiter=PROMPTS["DEFAULT_TUPLE_DELIMITER"], diff --git a/lightrag/prompt.py b/lightrag/prompt.py index 5e71c081..d758397b 100644 --- a/lightrag/prompt.py +++ b/lightrag/prompt.py @@ -19,7 +19,7 @@ - entity_name: Name of the entity, use same language as input text. If English, capitalized the name. - entity_type: One of the following types: [{entity_types}] - entity_description: Comprehensive description of the entity's attributes and activities -Format each entity as ("entity"{tuple_delimiter}{tuple_delimiter}{tuple_delimiter} +Format each entity as ("entity"{tuple_delimiter}{tuple_delimiter}{tuple_delimiter}) 2. From the entities identified in step 1, identify all pairs of (source_entity, target_entity) that are *clearly related* to each other. For each pair of related entities, extract the following information: From 607d4f955508e9d8f425cac64267b3c552770548 Mon Sep 17 00:00:00 2001 From: magicyuan876 <317617749@qq.com> Date: Wed, 4 Dec 2024 08:44:13 +0800 Subject: [PATCH 231/258] =?UTF-8?q?=E4=BF=AE=E6=94=B9=E6=97=A5=E5=BF=97?= =?UTF-8?q?=E6=96=87=E4=BB=B6=E8=B7=AF=E5=BE=84=20-=20=E5=9B=A0=E4=B8=BALi?= =?UTF-8?q?ghtRAG=E7=9A=84=E5=87=A0=E4=B9=8E=E9=83=BD=E6=98=AF=E5=AF=BC?= =?UTF-8?q?=E5=85=A5=E7=9A=84utils=E4=B8=AD=E7=9A=84=E5=85=A8=E5=B1=80logg?= =?UTF-8?q?er=E5=AF=B9=E8=B1=A1=EF=BC=8C=E5=BD=93=E5=A4=9A=E4=B8=AArag?= =?UTF-8?q?=E5=AE=9E=E4=BE=8B=E7=9A=84=E6=97=B6=E5=80=99=E5=B9=B6=E6=97=A0?= =?UTF-8?q?=E6=B3=95=E5=AE=8C=E5=85=A8=E6=8A=8A=E6=97=A5=E5=BF=97=E8=AE=B0?= =?UTF-8?q?=E5=BD=95=E5=88=B0=E5=AF=B9=E5=BA=94=E7=9A=84working=5Fdir,?= =?UTF-8?q?=E5=B9=B6=E4=B8=94=E5=BA=94=E7=94=A8=E4=B8=AD=E5=88=A0=E9=99=A4?= =?UTF-8?q?working=5Fdir=E6=97=B6=E4=BC=9A=E7=94=B1=E4=BA=8Elogger?= =?UTF-8?q?=E7=9A=84=E5=8F=A5=E6=9F=84=E6=97=A0=E6=B3=95=E5=88=A0=E9=99=A4?= =?UTF-8?q?=20-=20=E6=AD=A4=E4=BF=AE=E6=94=B9=E7=AE=80=E5=8C=96=E4=BA=86?= =?UTF-8?q?=E6=97=A5=E5=BF=97=E6=96=87=E4=BB=B6=E7=9A=84=E8=B7=AF=E5=BE=84?= =?UTF-8?q?=EF=BC=8C=E4=B8=8D=E5=86=8D=E4=BE=9D=E8=B5=96=E4=BA=8E=20workin?= =?UTF-8?q?g=5Fdir=20=E5=B1=9E=E6=80=A7=EF=BC=8C=E6=97=A5=E5=BF=97?= =?UTF-8?q?=E6=96=87=E4=BB=B6=E7=8B=AC=E7=AB=8B=E4=BA=8Eworking=5Fdir?= MIME-Version: 1.0 Content-Type: text/plain; charset=UTF-8 Content-Transfer-Encoding: 8bit --- lightrag/lightrag.py | 2 +- 1 file changed, 1 insertion(+), 1 deletion(-) diff --git a/lightrag/lightrag.py b/lightrag/lightrag.py index 6511e61b..9209daca 100644 --- a/lightrag/lightrag.py +++ b/lightrag/lightrag.py @@ -133,7 +133,7 @@ class LightRAG: convert_response_to_json_func: callable = convert_response_to_json def __post_init__(self): - log_file = os.path.join(self.working_dir, "lightrag.log") + log_file = os.path.join("lightrag.log") set_logger(log_file) logger.setLevel(self.log_level) From ffc916a6d46176ed87bdd8a6fdddff59d76fa85e Mon Sep 17 00:00:00 2001 From: jinsh <43266626@qq.com> Date: Wed, 4 Dec 2024 14:10:43 +0800 Subject: [PATCH 232/258] rename --- .../{lightrag_api_oracle_demo..py => lightrag_api_oracle_demo.py} | 0 1 file changed, 0 insertions(+), 0 deletions(-) rename examples/{lightrag_api_oracle_demo..py => lightrag_api_oracle_demo.py} (100%) diff --git a/examples/lightrag_api_oracle_demo..py b/examples/lightrag_api_oracle_demo.py similarity index 100% rename from examples/lightrag_api_oracle_demo..py rename to examples/lightrag_api_oracle_demo.py From be72c825d2214af7810618fc0fa42f60a3a4f303 Mon Sep 17 00:00:00 2001 From: LarFii <834462287@qq.com> Date: Wed, 4 Dec 2024 16:01:19 +0800 Subject: [PATCH 233/258] fix entity extract --- lightrag/operate.py | 4 +++- 1 file changed, 3 insertions(+), 1 deletion(-) diff --git a/lightrag/operate.py b/lightrag/operate.py index a40af9e0..09585e50 100644 --- a/lightrag/operate.py +++ b/lightrag/operate.py @@ -296,7 +296,9 @@ async def _process_single_content(chunk_key_dp: tuple[str, TextChunkSchema]): chunk_key = chunk_key_dp[0] chunk_dp = chunk_key_dp[1] content = chunk_dp["content"] - hint_prompt = entity_extract_prompt.format(**context_base, input_text=content) + # hint_prompt = entity_extract_prompt.format(**context_base, input_text=content) + hint_prompt = entity_extract_prompt.format(**context_base, input_text="{input_text}").format(**context_base, input_text=content) + final_result = await use_llm_func(hint_prompt) history = pack_user_ass_to_openai_messages(hint_prompt, final_result) for now_glean_index in range(entity_extract_max_gleaning): From 44d441a951e259e3f5bffb729cb1dfea6c2cdd8f Mon Sep 17 00:00:00 2001 From: LarFii <834462287@qq.com> Date: Wed, 4 Dec 2024 19:44:04 +0800 Subject: [PATCH 234/258] update insert custom kg --- Dockerfile | 56 ------------------------- README.md | 70 ++++++++------------------------ examples/insert_custom_kg.py | 34 ++++++++-------- examples/lightrag_nvidia_demo.py | 59 +++++++++++++++------------ lightrag/__init__.py | 2 +- lightrag/lightrag.py | 38 ++++++++++++++++- lightrag/llm.py | 18 +++++--- lightrag/operate.py | 5 ++- 8 files changed, 119 insertions(+), 163 deletions(-) delete mode 100644 Dockerfile diff --git a/Dockerfile b/Dockerfile deleted file mode 100644 index 787816fe..00000000 --- a/Dockerfile +++ /dev/null @@ -1,56 +0,0 @@ -FROM debian:bullseye-slim -ENV JAVA_HOME=/opt/java/openjdk -COPY --from=eclipse-temurin:17 $JAVA_HOME $JAVA_HOME -ENV PATH="${JAVA_HOME}/bin:${PATH}" \ - NEO4J_SHA256=7ce97bd9a4348af14df442f00b3dc5085b5983d6f03da643744838c7a1bc8ba7 \ - NEO4J_TARBALL=neo4j-enterprise-5.24.2-unix.tar.gz \ - NEO4J_EDITION=enterprise \ - NEO4J_HOME="/var/lib/neo4j" \ - LANG=C.UTF-8 -ARG NEO4J_URI=https://dist.neo4j.org/neo4j-enterprise-5.24.2-unix.tar.gz - -RUN addgroup --gid 7474 --system neo4j && adduser --uid 7474 --system --no-create-home --home "${NEO4J_HOME}" --ingroup neo4j neo4j - -COPY ./local-package/* /startup/ - -RUN apt update \ - && apt-get install -y curl gcc git jq make procps tini wget \ - && curl --fail --silent --show-error --location --remote-name ${NEO4J_URI} \ - && echo "${NEO4J_SHA256} ${NEO4J_TARBALL}" | sha256sum -c --strict --quiet \ - && tar --extract --file ${NEO4J_TARBALL} --directory /var/lib \ - && mv /var/lib/neo4j-* "${NEO4J_HOME}" \ - && rm ${NEO4J_TARBALL} \ - && sed -i 's/Package Type:.*/Package Type: docker bullseye/' $NEO4J_HOME/packaging_info \ - && mv /startup/neo4j-admin-report.sh "${NEO4J_HOME}"/bin/neo4j-admin-report \ - && mv "${NEO4J_HOME}"/data /data \ - && mv "${NEO4J_HOME}"/logs /logs \ - && chown -R neo4j:neo4j /data \ - && chmod -R 777 /data \ - && chown -R neo4j:neo4j /logs \ - && chmod -R 777 /logs \ - && chown -R neo4j:neo4j "${NEO4J_HOME}" \ - && chmod -R 777 "${NEO4J_HOME}" \ - && chmod -R 755 "${NEO4J_HOME}/bin" \ - && ln -s /data "${NEO4J_HOME}"/data \ - && ln -s /logs "${NEO4J_HOME}"/logs \ - && git clone https://github.com/ncopa/su-exec.git \ - && cd su-exec \ - && git checkout 4c3bb42b093f14da70d8ab924b487ccfbb1397af \ - && echo d6c40440609a23483f12eb6295b5191e94baf08298a856bab6e15b10c3b82891 su-exec.c | sha256sum -c \ - && echo 2a87af245eb125aca9305a0b1025525ac80825590800f047419dc57bba36b334 Makefile | sha256sum -c \ - && make \ - && mv /su-exec/su-exec /usr/bin/su-exec \ - && apt-get -y purge --auto-remove curl gcc git make \ - && rm -rf /var/lib/apt/lists/* /su-exec - - -ENV PATH "${NEO4J_HOME}"/bin:$PATH - -WORKDIR "${NEO4J_HOME}" - -VOLUME /data /logs - -EXPOSE 7474 7473 7687 - -ENTRYPOINT ["tini", "-g", "--", "/startup/docker-entrypoint.sh"] -CMD ["neo4j"] diff --git a/README.md b/README.md index 02ecbe4e..40908c3d 100644 --- a/README.md +++ b/README.md @@ -42,9 +42,9 @@ This repository hosts the code of LightRAG. The structure of this code is based ## Algorithm Flowchart ![LightRAG Indexing Flowchart](https://learnopencv.com/wp-content/uploads/2024/11/LightRAG-VectorDB-Json-KV-Store-Indexing-Flowchart-scaled.jpg) -*Figure 1: LightRAG Indexing Flowchart* +*Figure 1: LightRAG Indexing Flowchart - Img Caption : [Source](https://learnopencv.com/lightrag/)* ![LightRAG Retrieval and Querying Flowchart](https://learnopencv.com/wp-content/uploads/2024/11/LightRAG-Querying-Flowchart-Dual-Level-Retrieval-Generation-Knowledge-Graphs-scaled.jpg) -*Figure 2: LightRAG Retrieval and Querying Flowchart* +*Figure 2: LightRAG Retrieval and Querying Flowchart - Img Caption : [Source](https://learnopencv.com/lightrag/)* ## Install @@ -364,7 +364,21 @@ custom_kg = { "weight": 1.0, "source_id": "Source1" } - ] + ], + "chunks": [ + { + "content": "ProductX, developed by CompanyA, has revolutionized the market with its cutting-edge features.", + "source_id": "Source1", + }, + { + "content": "PersonA is a prominent researcher at UniversityB, focusing on artificial intelligence and machine learning.", + "source_id": "Source2", + }, + { + "content": "None", + "source_id": "UNKNOWN", + }, + ], } rag.insert_custom_kg(custom_kg) @@ -947,56 +961,6 @@ def extract_queries(file_path): ```
-## Code Structure - -```python -. -├── examples -│ ├── batch_eval.py -│ ├── generate_query.py -│ ├── graph_visual_with_html.py -│ ├── graph_visual_with_neo4j.py -│ ├── lightrag_api_openai_compatible_demo.py -│ ├── lightrag_azure_openai_demo.py -│ ├── lightrag_bedrock_demo.py -│ ├── lightrag_hf_demo.py -│ ├── lightrag_lmdeploy_demo.py -│ ├── lightrag_ollama_demo.py -│ ├── lightrag_openai_compatible_demo.py -│ ├── lightrag_openai_demo.py -│ ├── lightrag_siliconcloud_demo.py -│ └── vram_management_demo.py -├── lightrag -│ ├── kg -│ │ ├── __init__.py -│ │ └── neo4j_impl.py -│ ├── __init__.py -│ ├── base.py -│ ├── lightrag.py -│ ├── llm.py -│ ├── operate.py -│ ├── prompt.py -│ ├── storage.py -│ └── utils.py -├── reproduce -│ ├── Step_0.py -│ ├── Step_1_openai_compatible.py -│ ├── Step_1.py -│ ├── Step_2.py -│ ├── Step_3_openai_compatible.py -│ └── Step_3.py -├── .gitignore -├── .pre-commit-config.yaml -├── Dockerfile -├── get_all_edges_nx.py -├── LICENSE -├── README.md -├── requirements.txt -├── setup.py -├── test_neo4j.py -└── test.py -``` - ## Star History diff --git a/examples/insert_custom_kg.py b/examples/insert_custom_kg.py index 19da0f29..1c02ea25 100644 --- a/examples/insert_custom_kg.py +++ b/examples/insert_custom_kg.py @@ -56,18 +56,6 @@ "description": "An annual technology conference held in CityC", "source_id": "Source3", }, - { - "entity_name": "CompanyD", - "entity_type": "Organization", - "description": "A financial services company specializing in insurance", - "source_id": "Source4", - }, - { - "entity_name": "ServiceZ", - "entity_type": "Service", - "description": "An insurance product offered by CompanyD", - "source_id": "Source4", - }, ], "relationships": [ { @@ -94,13 +82,23 @@ "weight": 0.8, "source_id": "Source3", }, + ], + "chunks": [ { - "src_id": "CompanyD", - "tgt_id": "ServiceZ", - "description": "CompanyD provides ServiceZ", - "keywords": "provide, offer", - "weight": 1.0, - "source_id": "Source4", + "content": "ProductX, developed by CompanyA, has revolutionized the market with its cutting-edge features.", + "source_id": "Source1", + }, + { + "content": "PersonA is a prominent researcher at UniversityB, focusing on artificial intelligence and machine learning.", + "source_id": "Source2", + }, + { + "content": "EventY, held in CityC, attracts technology enthusiasts and companies from around the globe.", + "source_id": "Source3", + }, + { + "content": "None", + "source_id": "UNKNOWN", }, ], } diff --git a/examples/lightrag_nvidia_demo.py b/examples/lightrag_nvidia_demo.py index 10d43c42..5af562b0 100644 --- a/examples/lightrag_nvidia_demo.py +++ b/examples/lightrag_nvidia_demo.py @@ -1,11 +1,14 @@ import os import asyncio from lightrag import LightRAG, QueryParam -from lightrag.llm import openai_complete_if_cache, nvidia_openai_embedding, nvidia_openai_complete +from lightrag.llm import ( + openai_complete_if_cache, + nvidia_openai_embedding, +) from lightrag.utils import EmbeddingFunc import numpy as np -#for custom llm_model_func +# for custom llm_model_func from lightrag.utils import locate_json_string_body_from_string WORKING_DIR = "./dickens" @@ -13,14 +16,15 @@ if not os.path.exists(WORKING_DIR): os.mkdir(WORKING_DIR) -#some method to use your API key (choose one) +# some method to use your API key (choose one) # NVIDIA_OPENAI_API_KEY = os.getenv("NVIDIA_OPENAI_API_KEY") -NVIDIA_OPENAI_API_KEY = "nvapi-xxxx" #your api key +NVIDIA_OPENAI_API_KEY = "nvapi-xxxx" # your api key # using pre-defined function for nvidia LLM API. OpenAI compatible # llm_model_func = nvidia_openai_complete -#If you trying to make custom llm_model_func to use llm model on NVIDIA API like other example: + +# If you trying to make custom llm_model_func to use llm model on NVIDIA API like other example: async def llm_model_func( prompt, system_prompt=None, history_messages=[], keyword_extraction=False, **kwargs ) -> str: @@ -37,36 +41,41 @@ async def llm_model_func( return locate_json_string_body_from_string(result) return result -#custom embedding + +# custom embedding nvidia_embed_model = "nvidia/nv-embedqa-e5-v5" + + async def indexing_embedding_func(texts: list[str]) -> np.ndarray: return await nvidia_openai_embedding( texts, - model = nvidia_embed_model, #maximum 512 token + model=nvidia_embed_model, # maximum 512 token # model="nvidia/llama-3.2-nv-embedqa-1b-v1", api_key=NVIDIA_OPENAI_API_KEY, base_url="https://integrate.api.nvidia.com/v1", - input_type = "passage", - trunc = "END", #handling on server side if input token is longer than maximum token - encode = "float" + input_type="passage", + trunc="END", # handling on server side if input token is longer than maximum token + encode="float", ) + async def query_embedding_func(texts: list[str]) -> np.ndarray: return await nvidia_openai_embedding( texts, - model = nvidia_embed_model, #maximum 512 token + model=nvidia_embed_model, # maximum 512 token # model="nvidia/llama-3.2-nv-embedqa-1b-v1", api_key=NVIDIA_OPENAI_API_KEY, base_url="https://integrate.api.nvidia.com/v1", - input_type = "query", - trunc = "END", #handling on server side if input token is longer than maximum token - encode = "float" + input_type="query", + trunc="END", # handling on server side if input token is longer than maximum token + encode="float", ) -#dimension are same + +# dimension are same async def get_embedding_dim(): test_text = ["This is a test sentence."] - embedding = await indexing_embedding_func(test_text) + embedding = await indexing_embedding_func(test_text) embedding_dim = embedding.shape[1] return embedding_dim @@ -88,29 +97,29 @@ async def main(): embedding_dimension = await get_embedding_dim() print(f"Detected embedding dimension: {embedding_dimension}") - #lightRAG class during indexing + # lightRAG class during indexing rag = LightRAG( working_dir=WORKING_DIR, llm_model_func=llm_model_func, - # llm_model_name="meta/llama3-70b-instruct", #un comment if + # llm_model_name="meta/llama3-70b-instruct", #un comment if embedding_func=EmbeddingFunc( embedding_dim=embedding_dimension, - max_token_size=512, #maximum token size, somehow it's still exceed maximum number of token - #so truncate (trunc) parameter on embedding_func will handle it and try to examine the tokenizer used in LightRAG - #so you can adjust to be able to fit the NVIDIA model (future work) + max_token_size=512, # maximum token size, somehow it's still exceed maximum number of token + # so truncate (trunc) parameter on embedding_func will handle it and try to examine the tokenizer used in LightRAG + # so you can adjust to be able to fit the NVIDIA model (future work) func=indexing_embedding_func, ), ) - - #reading file + + # reading file with open("./book.txt", "r", encoding="utf-8") as f: await rag.ainsert(f.read()) - #redefine rag to change embedding into query type + # redefine rag to change embedding into query type rag = LightRAG( working_dir=WORKING_DIR, llm_model_func=llm_model_func, - # llm_model_name="meta/llama3-70b-instruct", #un comment if + # llm_model_name="meta/llama3-70b-instruct", #un comment if embedding_func=EmbeddingFunc( embedding_dim=embedding_dimension, max_token_size=512, diff --git a/lightrag/__init__.py b/lightrag/__init__.py index a8b60e55..ea579af2 100644 --- a/lightrag/__init__.py +++ b/lightrag/__init__.py @@ -1,5 +1,5 @@ from .lightrag import LightRAG as LightRAG, QueryParam as QueryParam -__version__ = "1.0.2" +__version__ = "1.0.3" __author__ = "Zirui Guo" __url__ = "https://github.com/HKUDS/LightRAG" diff --git a/lightrag/lightrag.py b/lightrag/lightrag.py index 97b2f256..f2f8d07a 100644 --- a/lightrag/lightrag.py +++ b/lightrag/lightrag.py @@ -329,13 +329,39 @@ def insert_custom_kg(self, custom_kg: dict): async def ainsert_custom_kg(self, custom_kg: dict): update_storage = False try: + # Insert chunks into vector storage + all_chunks_data = {} + chunk_to_source_map = {} + for chunk_data in custom_kg.get("chunks", []): + chunk_content = chunk_data["content"] + source_id = chunk_data["source_id"] + chunk_id = compute_mdhash_id(chunk_content.strip(), prefix="chunk-") + + chunk_entry = {"content": chunk_content.strip(), "source_id": source_id} + all_chunks_data[chunk_id] = chunk_entry + chunk_to_source_map[source_id] = chunk_id + update_storage = True + + if self.chunks_vdb is not None and all_chunks_data: + await self.chunks_vdb.upsert(all_chunks_data) + if self.text_chunks is not None and all_chunks_data: + await self.text_chunks.upsert(all_chunks_data) + # Insert entities into knowledge graph all_entities_data = [] for entity_data in custom_kg.get("entities", []): entity_name = f'"{entity_data["entity_name"].upper()}"' entity_type = entity_data.get("entity_type", "UNKNOWN") description = entity_data.get("description", "No description provided") - source_id = entity_data["source_id"] + # source_id = entity_data["source_id"] + source_chunk_id = entity_data.get("source_id", "UNKNOWN") + source_id = chunk_to_source_map.get(source_chunk_id, "UNKNOWN") + + # Log if source_id is UNKNOWN + if source_id == "UNKNOWN": + logger.warning( + f"Entity '{entity_name}' has an UNKNOWN source_id. Please check the source mapping." + ) # Prepare node data node_data = { @@ -359,7 +385,15 @@ async def ainsert_custom_kg(self, custom_kg: dict): description = relationship_data["description"] keywords = relationship_data["keywords"] weight = relationship_data.get("weight", 1.0) - source_id = relationship_data["source_id"] + # source_id = relationship_data["source_id"] + source_chunk_id = relationship_data.get("source_id", "UNKNOWN") + source_id = chunk_to_source_map.get(source_chunk_id, "UNKNOWN") + + # Log if source_id is UNKNOWN + if source_id == "UNKNOWN": + logger.warning( + f"Relationship from '{src_id}' to '{tgt_id}' has an UNKNOWN source_id. Please check the source mapping." + ) # Check if nodes exist in the knowledge graph for need_insert_id in [src_id, tgt_id]: diff --git a/lightrag/llm.py b/lightrag/llm.py index e247699b..e670c6ce 100644 --- a/lightrag/llm.py +++ b/lightrag/llm.py @@ -502,11 +502,12 @@ async def gpt_4o_mini_complete( **kwargs, ) + async def nvidia_openai_complete( prompt, system_prompt=None, history_messages=[], keyword_extraction=False, **kwargs ) -> str: result = await openai_complete_if_cache( - "nvidia/llama-3.1-nemotron-70b-instruct", #context length 128k + "nvidia/llama-3.1-nemotron-70b-instruct", # context length 128k prompt, system_prompt=system_prompt, history_messages=history_messages, @@ -517,6 +518,7 @@ async def nvidia_openai_complete( return locate_json_string_body_from_string(result) return result + async def azure_openai_complete( prompt, system_prompt=None, history_messages=[], keyword_extraction=False, **kwargs ) -> str: @@ -610,12 +612,12 @@ async def openai_embedding( ) async def nvidia_openai_embedding( texts: list[str], - model: str = "nvidia/llama-3.2-nv-embedqa-1b-v1", #refer to https://build.nvidia.com/nim?filters=usecase%3Ausecase_text_to_embedding + model: str = "nvidia/llama-3.2-nv-embedqa-1b-v1", # refer to https://build.nvidia.com/nim?filters=usecase%3Ausecase_text_to_embedding base_url: str = "https://integrate.api.nvidia.com/v1", api_key: str = None, - input_type: str = "passage", #query for retrieval, passage for embedding - trunc: str = "NONE", #NONE or START or END - encode: str = "float" #float or base64 + input_type: str = "passage", # query for retrieval, passage for embedding + trunc: str = "NONE", # NONE or START or END + encode: str = "float", # float or base64 ) -> np.ndarray: if api_key: os.environ["OPENAI_API_KEY"] = api_key @@ -624,10 +626,14 @@ async def nvidia_openai_embedding( AsyncOpenAI() if base_url is None else AsyncOpenAI(base_url=base_url) ) response = await openai_async_client.embeddings.create( - model=model, input=texts, encoding_format=encode, extra_body={"input_type": input_type, "truncate": trunc} + model=model, + input=texts, + encoding_format=encode, + extra_body={"input_type": input_type, "truncate": trunc}, ) return np.array([dp.embedding for dp in response.data]) + @wrap_embedding_func_with_attrs(embedding_dim=1536, max_token_size=8191) @retry( stop=stop_after_attempt(3), diff --git a/lightrag/operate.py b/lightrag/operate.py index 09585e50..5f653d27 100644 --- a/lightrag/operate.py +++ b/lightrag/operate.py @@ -297,7 +297,9 @@ async def _process_single_content(chunk_key_dp: tuple[str, TextChunkSchema]): chunk_dp = chunk_key_dp[1] content = chunk_dp["content"] # hint_prompt = entity_extract_prompt.format(**context_base, input_text=content) - hint_prompt = entity_extract_prompt.format(**context_base, input_text="{input_text}").format(**context_base, input_text=content) + hint_prompt = entity_extract_prompt.format( + **context_base, input_text="{input_text}" + ).format(**context_base, input_text=content) final_result = await use_llm_func(hint_prompt) history = pack_user_ass_to_openai_messages(hint_prompt, final_result) @@ -949,7 +951,6 @@ async def _find_related_text_unit_from_relationships( split_string_by_multi_markers(dp["source_id"], [GRAPH_FIELD_SEP]) for dp in edge_datas ] - all_text_units_lookup = {} for index, unit_list in enumerate(text_units): From 1fdaf40b6e2381ad272c47299b1cd3fec32b9e9a Mon Sep 17 00:00:00 2001 From: LarFii <834462287@qq.com> Date: Wed, 4 Dec 2024 19:58:16 +0800 Subject: [PATCH 235/258] Update Code Structure --- README.md | 58 +++++++++++++++++++++++++++++++++++++++++++++++++++++++ 1 file changed, 58 insertions(+) diff --git a/README.md b/README.md index 40908c3d..457554f6 100644 --- a/README.md +++ b/README.md @@ -961,6 +961,64 @@ def extract_queries(file_path): ```
+## Code Structure + +```python +. +├── .github +│ ├── workflows +│ │ └── linting.yaml +├── examples/ +│ ├── batch_eval.py +│ ├── generate_query.py +│ ├── graph_visual_with_html.py +│ ├── graph_visual_with_neo4j.py +│ ├── insert_custom_kg.py +│ ├── lightrag_api_openai_compatible_demo.py +│ ├── lightrag_api_oracle_demo..py +│ ├── lightrag_azure_openai_demo.py +│ ├── lightrag_bedrock_demo.py +│ ├── lightrag_hf_demo.py +│ ├── lightrag_lmdeploy_demo.py +│ ├── lightrag_nvidia_demo.py +│ ├── lightrag_ollama_demo.py +│ ├── lightrag_openai_compatible_demo.py +│ ├── lightrag_openai_demo.py +│ ├── lightrag_oracle_demo.py +│ ├── lightrag_siliconcloud_demo.py +│ └── vram_management_demo.py +├── lightrag +│ ├── kg +│ │ ├── __init__.py +│ │ ├── oracle_impl.py +│ │ └── neo4j_impl.py +│ ├── __init__.py +│ ├── base.py +│ ├── lightrag.py +│ ├── llm.py +│ ├── operate.py +│ ├── prompt.py +│ ├── storage.py +│ └── utils.py +├── reproduce +│ ├── Step_0.py +│ ├── Step_1_openai_compatible.py +│ ├── Step_1.py +│ ├── Step_2.py +│ ├── Step_3_openai_compatible.py +│ └── Step_3.py +├── .gitignore +├── .pre-commit-config.yaml +├── get_all_edges_nx.py +├── LICENSE +├── README.md +├── requirements.txt +├── setup.py +├── test_neo4j.py +└── test.py +``` + + ## Star History From dff3fe18e9f87a5bee329f2699898b17011f507c Mon Sep 17 00:00:00 2001 From: LarFii <834462287@qq.com> Date: Wed, 4 Dec 2024 19:59:50 +0800 Subject: [PATCH 236/258] Update Code Structure --- README.md | 10 +++++----- 1 file changed, 5 insertions(+), 5 deletions(-) diff --git a/README.md b/README.md index 457554f6..4b483e1b 100644 --- a/README.md +++ b/README.md @@ -965,8 +965,8 @@ def extract_queries(file_path): ```python . -├── .github -│ ├── workflows +├── .github/ +│ ├── workflows/ │ │ └── linting.yaml ├── examples/ │ ├── batch_eval.py @@ -987,8 +987,8 @@ def extract_queries(file_path): │ ├── lightrag_oracle_demo.py │ ├── lightrag_siliconcloud_demo.py │ └── vram_management_demo.py -├── lightrag -│ ├── kg +├── lightrag/ +│ ├── kg/ │ │ ├── __init__.py │ │ ├── oracle_impl.py │ │ └── neo4j_impl.py @@ -1000,7 +1000,7 @@ def extract_queries(file_path): │ ├── prompt.py │ ├── storage.py │ └── utils.py -├── reproduce +├── reproduce/ │ ├── Step_0.py │ ├── Step_1_openai_compatible.py │ ├── Step_1.py From 052322b213da4848202c30c47e59f48033378c51 Mon Sep 17 00:00:00 2001 From: partoneplay Date: Wed, 4 Dec 2024 17:26:47 +0800 Subject: [PATCH 237/258] Add Milvus as vector storage --- examples/lightrag_ollama_neo4j_milvus_demo.py | 51 +++++++++++ lightrag/kg/milvus_impl.py | 88 +++++++++++++++++++ lightrag/lightrag.py | 3 + requirements.txt | 1 + 4 files changed, 143 insertions(+) create mode 100644 examples/lightrag_ollama_neo4j_milvus_demo.py create mode 100644 lightrag/kg/milvus_impl.py diff --git a/examples/lightrag_ollama_neo4j_milvus_demo.py b/examples/lightrag_ollama_neo4j_milvus_demo.py new file mode 100644 index 00000000..6ed6da83 --- /dev/null +++ b/examples/lightrag_ollama_neo4j_milvus_demo.py @@ -0,0 +1,51 @@ +import os +from lightrag import LightRAG, QueryParam +from lightrag.llm import ollama_model_complete, ollama_embed +from lightrag.utils import EmbeddingFunc + +# WorkingDir +ROOT_DIR = os.path.dirname(os.path.abspath(__file__)) +WORKING_DIR = os.path.join(ROOT_DIR, "myKG") +if not os.path.exists(WORKING_DIR): + os.mkdir(WORKING_DIR) +print(f"WorkingDir: {WORKING_DIR}") + +# neo4j +BATCH_SIZE_NODES = 500 +BATCH_SIZE_EDGES = 100 +os.environ["NEO4J_URI"] = "bolt://localhost:7687" +os.environ["NEO4J_USERNAME"] = "neo4j" +os.environ["NEO4J_PASSWORD"] = "neo4j" + +# milvus +os.environ["MILVUS_URI"] = "http://localhost:19530" +os.environ["MILVUS_USER"] = "root" +os.environ["MILVUS_PASSWORD"] = "root" +os.environ["MILVUS_DB_NAME"] = "lightrag" + + +rag = LightRAG( + working_dir=WORKING_DIR, + llm_model_func=ollama_model_complete, + llm_model_name="qwen2.5:14b", + llm_model_max_async=4, + llm_model_max_token_size=32768, + llm_model_kwargs={"host": "http://127.0.0.1:11434", "options": {"num_ctx": 32768}}, + embedding_func=EmbeddingFunc( + embedding_dim=1024, + max_token_size=8192, + func=lambda texts: ollama_embed( + texts=texts, embed_model="bge-m3:latest", host="http://127.0.0.1:11434" + ), + ), + graph_storage="Neo4JStorage", + vector_storage="MilvusVectorDBStorge", +) + +file = "./book.txt" +with open(file, "r") as f: + rag.insert(f.read()) + +print( + rag.query("What are the top themes in this story?", param=QueryParam(mode="hybrid")) +) diff --git a/lightrag/kg/milvus_impl.py b/lightrag/kg/milvus_impl.py new file mode 100644 index 00000000..6d2520ce --- /dev/null +++ b/lightrag/kg/milvus_impl.py @@ -0,0 +1,88 @@ +import asyncio +import os +from tqdm.asyncio import tqdm as tqdm_async +from dataclasses import dataclass +import numpy as np +from lightrag.utils import logger +from ..base import BaseVectorStorage + +from pymilvus import MilvusClient + + +@dataclass +class MilvusVectorDBStorge(BaseVectorStorage): + @staticmethod + def create_collection_if_not_exist( + client: MilvusClient, collection_name: str, **kwargs + ): + if client.has_collection(collection_name): + return + client.create_collection( + collection_name, max_length=64, id_type="string", **kwargs + ) + + def __post_init__(self): + self._client = MilvusClient( + uri=os.environ.get( + "MILVUS_URI", + os.path.join(self.global_config["working_dir"], "milvus_lite.db"), + ), + user=os.environ.get("MILVUS_USER", ""), + password=os.environ.get("MILVUS_PASSWORD", ""), + token=os.environ.get("MILVUS_TOKEN", ""), + db_name=os.environ.get("MILVUS_DB_NAME", ""), + ) + self._max_batch_size = self.global_config["embedding_batch_num"] + MilvusVectorDBStorge.create_collection_if_not_exist( + self._client, + self.namespace, + dimension=self.embedding_func.embedding_dim, + ) + + async def upsert(self, data: dict[str, dict]): + logger.info(f"Inserting {len(data)} vectors to {self.namespace}") + if not len(data): + logger.warning("You insert an empty data to vector DB") + return [] + list_data = [ + { + "id": k, + **{k1: v1 for k1, v1 in v.items() if k1 in self.meta_fields}, + } + for k, v in data.items() + ] + contents = [v["content"] for v in data.values()] + batches = [ + contents[i : i + self._max_batch_size] + for i in range(0, len(contents), self._max_batch_size) + ] + embedding_tasks = [self.embedding_func(batch) for batch in batches] + embeddings_list = [] + for f in tqdm_async( + asyncio.as_completed(embedding_tasks), + total=len(embedding_tasks), + desc="Generating embeddings", + unit="batch", + ): + embeddings = await f + embeddings_list.append(embeddings) + embeddings = np.concatenate(embeddings_list) + for i, d in enumerate(list_data): + d["vector"] = embeddings[i] + results = self._client.upsert(collection_name=self.namespace, data=list_data) + return results + + async def query(self, query, top_k=5): + embedding = await self.embedding_func([query]) + results = self._client.search( + collection_name=self.namespace, + data=embedding, + limit=top_k, + output_fields=list(self.meta_fields), + search_params={"metric_type": "COSINE", "params": {"radius": 0.2}}, + ) + print(results) + return [ + {**dp["entity"], "id": dp["id"], "distance": dp["distance"]} + for dp in results[0] + ] diff --git a/lightrag/lightrag.py b/lightrag/lightrag.py index 97b2f256..48258f99 100644 --- a/lightrag/lightrag.py +++ b/lightrag/lightrag.py @@ -44,6 +44,8 @@ from .kg.oracle_impl import OracleKVStorage, OracleGraphStorage, OracleVectorDBStorage +from .kg.milvus_impl import MilvusVectorDBStorge + # future KG integrations # from .kg.ArangoDB_impl import ( @@ -228,6 +230,7 @@ def _get_storage_class(self) -> Type[BaseGraphStorage]: # vector storage "NanoVectorDBStorage": NanoVectorDBStorage, "OracleVectorDBStorage": OracleVectorDBStorage, + "MilvusVectorDBStorge": MilvusVectorDBStorge, # graph storage "NetworkXStorage": NetworkXStorage, "Neo4JStorage": Neo4JStorage, diff --git a/requirements.txt b/requirements.txt index 6adb6929..4ccb2bb3 100644 --- a/requirements.txt +++ b/requirements.txt @@ -11,6 +11,7 @@ networkx ollama openai oracledb +pymilvus pyvis tenacity # lmdeploy[all] From a2072a055a65b6289e56a85468a6f47c47892a63 Mon Sep 17 00:00:00 2001 From: Larfii <834462287@qq.com> Date: Thu, 5 Dec 2024 11:47:56 +0800 Subject: [PATCH 238/258] fix: unexpected keyword argument error --- lightrag/llm.py | 7 +++++++ 1 file changed, 7 insertions(+) diff --git a/lightrag/llm.py b/lightrag/llm.py index e670c6ce..2810d93e 100644 --- a/lightrag/llm.py +++ b/lightrag/llm.py @@ -478,6 +478,7 @@ class GPTKeywordExtractionFormat(BaseModel): async def gpt_4o_complete( prompt, system_prompt=None, history_messages=[], keyword_extraction=False, **kwargs ) -> str: + keyword_extraction = kwargs.pop("keyword_extraction", None) if keyword_extraction: kwargs["response_format"] = GPTKeywordExtractionFormat return await openai_complete_if_cache( @@ -492,6 +493,7 @@ async def gpt_4o_complete( async def gpt_4o_mini_complete( prompt, system_prompt=None, history_messages=[], keyword_extraction=False, **kwargs ) -> str: + keyword_extraction = kwargs.pop("keyword_extraction", None) if keyword_extraction: kwargs["response_format"] = GPTKeywordExtractionFormat return await openai_complete_if_cache( @@ -506,6 +508,7 @@ async def gpt_4o_mini_complete( async def nvidia_openai_complete( prompt, system_prompt=None, history_messages=[], keyword_extraction=False, **kwargs ) -> str: + keyword_extraction = kwargs.pop("keyword_extraction", None) result = await openai_complete_if_cache( "nvidia/llama-3.1-nemotron-70b-instruct", # context length 128k prompt, @@ -522,6 +525,7 @@ async def nvidia_openai_complete( async def azure_openai_complete( prompt, system_prompt=None, history_messages=[], keyword_extraction=False, **kwargs ) -> str: + keyword_extraction = kwargs.pop("keyword_extraction", None) result = await azure_openai_complete_if_cache( "conversation-4o-mini", prompt, @@ -537,6 +541,7 @@ async def azure_openai_complete( async def bedrock_complete( prompt, system_prompt=None, history_messages=[], keyword_extraction=False, **kwargs ) -> str: + keyword_extraction = kwargs.pop("keyword_extraction", None) result = await bedrock_complete_if_cache( "anthropic.claude-3-haiku-20240307-v1:0", prompt, @@ -552,6 +557,7 @@ async def bedrock_complete( async def hf_model_complete( prompt, system_prompt=None, history_messages=[], keyword_extraction=False, **kwargs ) -> str: + keyword_extraction = kwargs.pop("keyword_extraction", None) model_name = kwargs["hashing_kv"].global_config["llm_model_name"] result = await hf_model_if_cache( model_name, @@ -568,6 +574,7 @@ async def hf_model_complete( async def ollama_model_complete( prompt, system_prompt=None, history_messages=[], keyword_extraction=False, **kwargs ) -> str: + keyword_extraction = kwargs.pop("keyword_extraction", None) if keyword_extraction: kwargs["format"] = "json" model_name = kwargs["hashing_kv"].global_config["llm_model_name"] From d8ba7c57f393aa91f2a5329295e0045287a46bde Mon Sep 17 00:00:00 2001 From: partoneplay Date: Thu, 5 Dec 2024 13:57:43 +0800 Subject: [PATCH 239/258] Add MongoDB as KV storage --- ...ightrag_ollama_neo4j_milvus_mongo_demo.py} | 5 ++ lightrag/kg/mongo_impl.py | 51 +++++++++++++++++++ lightrag/lightrag.py | 3 ++ requirements.txt | 1 + 4 files changed, 60 insertions(+) rename examples/{lightrag_ollama_neo4j_milvus_demo.py => lightrag_ollama_neo4j_milvus_mongo_demo.py} (90%) create mode 100644 lightrag/kg/mongo_impl.py diff --git a/examples/lightrag_ollama_neo4j_milvus_demo.py b/examples/lightrag_ollama_neo4j_milvus_mongo_demo.py similarity index 90% rename from examples/lightrag_ollama_neo4j_milvus_demo.py rename to examples/lightrag_ollama_neo4j_milvus_mongo_demo.py index 6ed6da83..8d26ba65 100644 --- a/examples/lightrag_ollama_neo4j_milvus_demo.py +++ b/examples/lightrag_ollama_neo4j_milvus_mongo_demo.py @@ -10,6 +10,10 @@ os.mkdir(WORKING_DIR) print(f"WorkingDir: {WORKING_DIR}") +# mongo +os.environ["MONGO_URI"] = "mongodb://root:root@localhost:27017/" +os.environ["MONGO_DATABASE"] = "LightRAG" + # neo4j BATCH_SIZE_NODES = 500 BATCH_SIZE_EDGES = 100 @@ -38,6 +42,7 @@ texts=texts, embed_model="bge-m3:latest", host="http://127.0.0.1:11434" ), ), + kv_storage="MongoKVStorage", graph_storage="Neo4JStorage", vector_storage="MilvusVectorDBStorge", ) diff --git a/lightrag/kg/mongo_impl.py b/lightrag/kg/mongo_impl.py new file mode 100644 index 00000000..61222357 --- /dev/null +++ b/lightrag/kg/mongo_impl.py @@ -0,0 +1,51 @@ +import os +from tqdm.asyncio import tqdm as tqdm_async +from dataclasses import dataclass +from pymongo import MongoClient + +from lightrag.utils import logger + +from lightrag.base import BaseKVStorage + + +@dataclass +class MongoKVStorage(BaseKVStorage): + def __post_init__(self): + client = MongoClient( + os.environ.get("MONGO_URI", "mongodb://root:root@localhost:27017/") + ) + database = client.get_database(os.environ.get("MONGO_DATABASE", "LightRAG")) + self._data = database.get_collection(self.namespace) + logger.info(f"Use MongoDB as KV {self.namespace}") + + async def all_keys(self) -> list[str]: + return [x["_id"] for x in self._data.find({}, {"_id": 1})] + + async def get_by_id(self, id): + return self._data.find_one({"_id": id}) + + async def get_by_ids(self, ids, fields=None): + if fields is None: + return list(self._data.find({"_id": {"$in": ids}})) + return list( + self._data.find( + {"_id": {"$in": ids}}, + {field: 1 for field in fields}, + ) + ) + + async def filter_keys(self, data: list[str]) -> set[str]: + existing_ids = [ + str(x["_id"]) for x in self._data.find({"_id": {"$in": data}}, {"_id": 1}) + ] + return set([s for s in data if s not in existing_ids]) + + async def upsert(self, data: dict[str, dict]): + for k, v in tqdm_async(data.items(), desc="Upserting"): + self._data.update_one({"_id": k}, {"$set": v}, upsert=True) + data[k]["_id"] = k + return data + + async def drop(self): + """ """ + pass diff --git a/lightrag/lightrag.py b/lightrag/lightrag.py index 4fb94b38..a25dab79 100644 --- a/lightrag/lightrag.py +++ b/lightrag/lightrag.py @@ -46,6 +46,8 @@ from .kg.milvus_impl import MilvusVectorDBStorge +from .kg.mongo_impl import MongoKVStorage + # future KG integrations # from .kg.ArangoDB_impl import ( @@ -227,6 +229,7 @@ def _get_storage_class(self) -> Type[BaseGraphStorage]: # kv storage "JsonKVStorage": JsonKVStorage, "OracleKVStorage": OracleKVStorage, + "MongoKVStorage": MongoKVStorage, # vector storage "NanoVectorDBStorage": NanoVectorDBStorage, "OracleVectorDBStorage": OracleVectorDBStorage, diff --git a/requirements.txt b/requirements.txt index 4ccb2bb3..ad96fe7d 100644 --- a/requirements.txt +++ b/requirements.txt @@ -12,6 +12,7 @@ ollama openai oracledb pymilvus +pymongo pyvis tenacity # lmdeploy[all] From e99832cc138a0ee3b4bfcaae23a802b8f47a8ff3 Mon Sep 17 00:00:00 2001 From: Larfii <834462287@qq.com> Date: Thu, 5 Dec 2024 14:11:43 +0800 Subject: [PATCH 240/258] Fix: unexpected keyword argument error. --- README.md | 2 +- examples/lightrag_api_openai_compatible_demo.py | 2 +- examples/lightrag_api_oracle_demo.py | 2 +- examples/lightrag_azure_openai_demo.py | 2 +- examples/lightrag_lmdeploy_demo.py | 2 +- examples/lightrag_openai_compatible_demo.py | 2 +- examples/lightrag_oracle_demo.py | 2 +- examples/lightrag_siliconcloud_demo.py | 2 +- 8 files changed, 8 insertions(+), 8 deletions(-) diff --git a/README.md b/README.md index 4b483e1b..145871ee 100644 --- a/README.md +++ b/README.md @@ -114,7 +114,7 @@ print(rag.query("What are the top themes in this story?", param=QueryParam(mode= * LightRAG also supports Open AI-like chat/embeddings APIs: ```python async def llm_model_func( - prompt, system_prompt=None, history_messages=[], **kwargs + prompt, system_prompt=None, history_messages=[], keyword_extraction=False, **kwargs ) -> str: return await openai_complete_if_cache( "solar-mini", diff --git a/examples/lightrag_api_openai_compatible_demo.py b/examples/lightrag_api_openai_compatible_demo.py index 39001b10..1749753b 100644 --- a/examples/lightrag_api_openai_compatible_demo.py +++ b/examples/lightrag_api_openai_compatible_demo.py @@ -33,7 +33,7 @@ async def llm_model_func( - prompt, system_prompt=None, history_messages=[], **kwargs + prompt, system_prompt=None, history_messages=[], keyword_extraction=False, **kwargs ) -> str: return await openai_complete_if_cache( LLM_MODEL, diff --git a/examples/lightrag_api_oracle_demo.py b/examples/lightrag_api_oracle_demo.py index 774ef61f..65ac4ddd 100644 --- a/examples/lightrag_api_oracle_demo.py +++ b/examples/lightrag_api_oracle_demo.py @@ -50,7 +50,7 @@ async def llm_model_func( - prompt, system_prompt=None, history_messages=[], **kwargs + prompt, system_prompt=None, history_messages=[], keyword_extraction=False, **kwargs ) -> str: return await openai_complete_if_cache( LLM_MODEL, diff --git a/examples/lightrag_azure_openai_demo.py b/examples/lightrag_azure_openai_demo.py index 6a3fafc1..1c941f93 100644 --- a/examples/lightrag_azure_openai_demo.py +++ b/examples/lightrag_azure_openai_demo.py @@ -30,7 +30,7 @@ async def llm_model_func( - prompt, system_prompt=None, history_messages=[], **kwargs + prompt, system_prompt=None, history_messages=[], keyword_extraction=False, **kwargs ) -> str: client = AzureOpenAI( api_key=AZURE_OPENAI_API_KEY, diff --git a/examples/lightrag_lmdeploy_demo.py b/examples/lightrag_lmdeploy_demo.py index aeb96f71..b44bfb1d 100644 --- a/examples/lightrag_lmdeploy_demo.py +++ b/examples/lightrag_lmdeploy_demo.py @@ -12,7 +12,7 @@ async def lmdeploy_model_complete( - prompt=None, system_prompt=None, history_messages=[], **kwargs + prompt=None, system_prompt=None, history_messages=[], keyword_extraction=False, **kwargs ) -> str: model_name = kwargs["hashing_kv"].global_config["llm_model_name"] return await lmdeploy_model_if_cache( diff --git a/examples/lightrag_openai_compatible_demo.py b/examples/lightrag_openai_compatible_demo.py index 1422e2c2..3494ae03 100644 --- a/examples/lightrag_openai_compatible_demo.py +++ b/examples/lightrag_openai_compatible_demo.py @@ -12,7 +12,7 @@ async def llm_model_func( - prompt, system_prompt=None, history_messages=[], **kwargs + prompt, system_prompt=None, history_messages=[], keyword_extraction=False, **kwargs ) -> str: return await openai_complete_if_cache( "solar-mini", diff --git a/examples/lightrag_oracle_demo.py b/examples/lightrag_oracle_demo.py index 0e34618e..bbb69319 100644 --- a/examples/lightrag_oracle_demo.py +++ b/examples/lightrag_oracle_demo.py @@ -27,7 +27,7 @@ async def llm_model_func( - prompt, system_prompt=None, history_messages=[], **kwargs + prompt, system_prompt=None, history_messages=[], keyword_extraction=False, **kwargs ) -> str: return await openai_complete_if_cache( CHATMODEL, diff --git a/examples/lightrag_siliconcloud_demo.py b/examples/lightrag_siliconcloud_demo.py index a73f16c5..ca15ccd0 100644 --- a/examples/lightrag_siliconcloud_demo.py +++ b/examples/lightrag_siliconcloud_demo.py @@ -12,7 +12,7 @@ async def llm_model_func( - prompt, system_prompt=None, history_messages=[], **kwargs + prompt, system_prompt=None, history_messages=[], keyword_extraction=False, **kwargs ) -> str: return await openai_complete_if_cache( "Qwen/Qwen2.5-7B-Instruct", From 254330813a08330c05c1a4b6a2ca6827ab12c938 Mon Sep 17 00:00:00 2001 From: Larfii <834462287@qq.com> Date: Thu, 5 Dec 2024 18:13:12 +0800 Subject: [PATCH 241/258] fix JSON parsing error --- lightrag/operate.py | 1 + 1 file changed, 1 insertion(+) diff --git a/lightrag/operate.py b/lightrag/operate.py index 5f653d27..d5e5f56e 100644 --- a/lightrag/operate.py +++ b/lightrag/operate.py @@ -479,6 +479,7 @@ async def kg_query( print(result) try: # json_text = locate_json_string_body_from_string(result) # handled in use_model_func + result = re.search(r"{.*}", json_text, re.DOTALL) keywords_data = json.loads(result) hl_keywords = keywords_data.get("high_level_keywords", []) ll_keywords = keywords_data.get("low_level_keywords", []) From 567fde643fda69f806f7b2af867cf87257766935 Mon Sep 17 00:00:00 2001 From: Larfii <834462287@qq.com> Date: Thu, 5 Dec 2024 18:22:50 +0800 Subject: [PATCH 242/258] Update version --- lightrag/__init__.py | 2 +- 1 file changed, 1 insertion(+), 1 deletion(-) diff --git a/lightrag/__init__.py b/lightrag/__init__.py index ea579af2..1b713773 100644 --- a/lightrag/__init__.py +++ b/lightrag/__init__.py @@ -1,5 +1,5 @@ from .lightrag import LightRAG as LightRAG, QueryParam as QueryParam -__version__ = "1.0.3" +__version__ = "1.0.4" __author__ = "Zirui Guo" __url__ = "https://github.com/HKUDS/LightRAG" From 9af36769917942cc0552ee3c66cc87124517a397 Mon Sep 17 00:00:00 2001 From: Larfii <834462287@qq.com> Date: Thu, 5 Dec 2024 18:26:55 +0800 Subject: [PATCH 243/258] Fix JSON parsing error --- examples/lightrag_lmdeploy_demo.py | 6 +++++- lightrag/operate.py | 2 +- 2 files changed, 6 insertions(+), 2 deletions(-) diff --git a/examples/lightrag_lmdeploy_demo.py b/examples/lightrag_lmdeploy_demo.py index b44bfb1d..c0ee86cb 100644 --- a/examples/lightrag_lmdeploy_demo.py +++ b/examples/lightrag_lmdeploy_demo.py @@ -12,7 +12,11 @@ async def lmdeploy_model_complete( - prompt=None, system_prompt=None, history_messages=[], keyword_extraction=False, **kwargs + prompt=None, + system_prompt=None, + history_messages=[], + keyword_extraction=False, + **kwargs, ) -> str: model_name = kwargs["hashing_kv"].global_config["llm_model_name"] return await lmdeploy_model_if_cache( diff --git a/lightrag/operate.py b/lightrag/operate.py index d5e5f56e..947a8183 100644 --- a/lightrag/operate.py +++ b/lightrag/operate.py @@ -479,7 +479,7 @@ async def kg_query( print(result) try: # json_text = locate_json_string_body_from_string(result) # handled in use_model_func - result = re.search(r"{.*}", json_text, re.DOTALL) + result = re.search(r"{.*}", result, re.DOTALL) keywords_data = json.loads(result) hl_keywords = keywords_data.get("high_level_keywords", []) ll_keywords = keywords_data.get("low_level_keywords", []) From 1e4e2ea4f34b4faf392c85636aebb84d4404f68d Mon Sep 17 00:00:00 2001 From: Larfii <834462287@qq.com> Date: Thu, 5 Dec 2024 20:22:44 +0800 Subject: [PATCH 244/258] Fix JSON parsing error --- lightrag/operate.py | 16 ++++++++++++---- 1 file changed, 12 insertions(+), 4 deletions(-) diff --git a/lightrag/operate.py b/lightrag/operate.py index 947a8183..2449983f 100644 --- a/lightrag/operate.py +++ b/lightrag/operate.py @@ -479,10 +479,18 @@ async def kg_query( print(result) try: # json_text = locate_json_string_body_from_string(result) # handled in use_model_func - result = re.search(r"{.*}", result, re.DOTALL) - keywords_data = json.loads(result) - hl_keywords = keywords_data.get("high_level_keywords", []) - ll_keywords = keywords_data.get("low_level_keywords", []) + match = re.search(r"\{.*\}", result, re.DOTALL) + if match: + result = match.group(0) + keywords_data = json.loads(result) + + hl_keywords = keywords_data.get("high_level_keywords", []) + ll_keywords = keywords_data.get("low_level_keywords", []) + + return hl_keywords, ll_keywords + else: + logger.error("No JSON-like structure found in the result.") + return PROMPTS["fail_response"] # Handle parsing error except json.JSONDecodeError as e: From 645890aff6468736ccf94458a61196dc73e9c90e Mon Sep 17 00:00:00 2001 From: Larfii <834462287@qq.com> Date: Thu, 5 Dec 2024 20:40:35 +0800 Subject: [PATCH 245/258] Fix JSON parsing error --- lightrag/operate.py | 2 -- 1 file changed, 2 deletions(-) diff --git a/lightrag/operate.py b/lightrag/operate.py index 2449983f..a846cfc5 100644 --- a/lightrag/operate.py +++ b/lightrag/operate.py @@ -486,8 +486,6 @@ async def kg_query( hl_keywords = keywords_data.get("high_level_keywords", []) ll_keywords = keywords_data.get("low_level_keywords", []) - - return hl_keywords, ll_keywords else: logger.error("No JSON-like structure found in the result.") return PROMPTS["fail_response"] From d48c6e4588dc064c45063d93ce47a459efa7be55 Mon Sep 17 00:00:00 2001 From: magicyuan876 <317617749@qq.com> Date: Fri, 6 Dec 2024 08:17:20 +0800 Subject: [PATCH 246/258] =?UTF-8?q?feat(lightrag):=20=E6=B7=BB=E5=8A=A0=20?= =?UTF-8?q?=E6=9F=A5=E8=AF=A2=E6=97=B6=E4=BD=BF=E7=94=A8embedding=E7=BC=93?= =?UTF-8?q?=E5=AD=98=E5=8A=9F=E8=83=BD=20-=20=E5=9C=A8=20LightRAG=20?= =?UTF-8?q?=E7=B1=BB=E4=B8=AD=E6=B7=BB=E5=8A=A0=20embedding=5Fcache=5Fconf?= =?UTF-8?q?ig=E9=85=8D=E7=BD=AE=E9=A1=B9=20-=20=E5=AE=9E=E7=8E=B0=E5=9F=BA?= =?UTF-8?q?=E4=BA=8E=20embedding=20=E7=9B=B8=E4=BC=BC=E5=BA=A6=E7=9A=84?= =?UTF-8?q?=E7=BC=93=E5=AD=98=E6=9F=A5=E8=AF=A2=E5=92=8C=E5=AD=98=E5=82=A8?= =?UTF-8?q?=20-=20=E6=B7=BB=E5=8A=A0=E9=87=8F=E5=8C=96=E5=92=8C=E5=8F=8D?= =?UTF-8?q?=E9=87=8F=E5=8C=96=E5=87=BD=E6=95=B0=EF=BC=8C=E7=94=A8=E4=BA=8E?= =?UTF-8?q?=E5=8E=8B=E7=BC=A9=20embedding=20=E6=95=B0=E6=8D=AE=20-=20?= =?UTF-8?q?=E6=96=B0=E5=A2=9E=E7=A4=BA=E4=BE=8B=E6=BC=94=E7=A4=BA=20embedd?= =?UTF-8?q?ing=20=E7=BC=93=E5=AD=98=E7=9A=84=E4=BD=BF=E7=94=A8?= MIME-Version: 1.0 Content-Type: text/plain; charset=UTF-8 Content-Transfer-Encoding: 8bit --- README.md | 1 + ..._openai_compatible_demo_embedding_cache.py | 112 +++++++ lightrag/lightrag.py | 5 +- lightrag/llm.py | 278 +++++++++++++++--- lightrag/utils.py | 69 +++++ 5 files changed, 431 insertions(+), 34 deletions(-) create mode 100644 examples/lightrag_openai_compatible_demo_embedding_cache.py diff --git a/README.md b/README.md index 145871ee..00612859 100644 --- a/README.md +++ b/README.md @@ -596,6 +596,7 @@ if __name__ == "__main__": | **enable\_llm\_cache** | `bool` | If `TRUE`, stores LLM results in cache; repeated prompts return cached responses | `TRUE` | | **addon\_params** | `dict` | Additional parameters, e.g., `{"example_number": 1, "language": "Simplified Chinese"}`: sets example limit and output language | `example_number: all examples, language: English` | | **convert\_response\_to\_json\_func** | `callable` | Not used | `convert_response_to_json` | +| **embedding\_cache\_config** | `dict` | Configuration for embedding cache. Includes `enabled` (bool) to toggle cache and `similarity_threshold` (float) for cache retrieval | `{"enabled": False, "similarity_threshold": 0.95}` | ## API Server Implementation diff --git a/examples/lightrag_openai_compatible_demo_embedding_cache.py b/examples/lightrag_openai_compatible_demo_embedding_cache.py new file mode 100644 index 00000000..4e2c1523 --- /dev/null +++ b/examples/lightrag_openai_compatible_demo_embedding_cache.py @@ -0,0 +1,112 @@ +import os +import asyncio +from lightrag import LightRAG, QueryParam +from lightrag.llm import openai_complete_if_cache, openai_embedding +from lightrag.utils import EmbeddingFunc +import numpy as np + +WORKING_DIR = "./dickens" + +if not os.path.exists(WORKING_DIR): + os.mkdir(WORKING_DIR) + + +async def llm_model_func( + prompt, system_prompt=None, history_messages=[], keyword_extraction=False, **kwargs +) -> str: + return await openai_complete_if_cache( + "solar-mini", + prompt, + system_prompt=system_prompt, + history_messages=history_messages, + api_key=os.getenv("UPSTAGE_API_KEY"), + base_url="https://api.upstage.ai/v1/solar", + **kwargs, + ) + + +async def embedding_func(texts: list[str]) -> np.ndarray: + return await openai_embedding( + texts, + model="solar-embedding-1-large-query", + api_key=os.getenv("UPSTAGE_API_KEY"), + base_url="https://api.upstage.ai/v1/solar", + ) + + +async def get_embedding_dim(): + test_text = ["This is a test sentence."] + embedding = await embedding_func(test_text) + embedding_dim = embedding.shape[1] + return embedding_dim + + +# function test +async def test_funcs(): + result = await llm_model_func("How are you?") + print("llm_model_func: ", result) + + result = await embedding_func(["How are you?"]) + print("embedding_func: ", result) + + +# asyncio.run(test_funcs()) + + +async def main(): + try: + embedding_dimension = await get_embedding_dim() + print(f"Detected embedding dimension: {embedding_dimension}") + + rag = LightRAG( + working_dir=WORKING_DIR, + embedding_cache_config={ + "enabled": True, + "similarity_threshold": 0.90, # 可以自定义阈值 + }, + llm_model_func=llm_model_func, + embedding_func=EmbeddingFunc( + embedding_dim=embedding_dimension, + max_token_size=8192, + func=embedding_func, + ), + ) + + with open("./book.txt", "r", encoding="utf-8") as f: + await rag.ainsert(f.read()) + + # Perform naive search + print( + await rag.aquery( + "What are the top themes in this story?", param=QueryParam(mode="naive") + ) + ) + + # Perform local search + print( + await rag.aquery( + "What are the top themes in this story?", param=QueryParam(mode="local") + ) + ) + + # Perform global search + print( + await rag.aquery( + "What are the top themes in this story?", + param=QueryParam(mode="global"), + ) + ) + + # Perform hybrid search + print( + await rag.aquery( + "What are the top themes in this story?", + param=QueryParam(mode="hybrid"), + ) + ) + except Exception as e: + print(f"An error occurred: {e}") + + +if __name__ == "__main__": + asyncio.run(main()) diff --git a/lightrag/lightrag.py b/lightrag/lightrag.py index a25dab79..0a44187e 100644 --- a/lightrag/lightrag.py +++ b/lightrag/lightrag.py @@ -85,7 +85,10 @@ class LightRAG: working_dir: str = field( default_factory=lambda: f"./lightrag_cache_{datetime.now().strftime('%Y-%m-%d-%H:%M:%S')}" ) - + # Default not to use embedding cache + embedding_cache_config: dict = field( + default_factory=lambda: {"enabled": False, "similarity_threshold": 0.95} + ) kv_storage: str = field(default="JsonKVStorage") vector_storage: str = field(default="NanoVectorDBStorage") graph_storage: str = field(default="NetworkXStorage") diff --git a/lightrag/llm.py b/lightrag/llm.py index 2810d93e..33fdd182 100644 --- a/lightrag/llm.py +++ b/lightrag/llm.py @@ -33,6 +33,8 @@ compute_args_hash, wrap_embedding_func_with_attrs, locate_json_string_body_from_string, + quantize_embedding, + get_best_cached_response, ) os.environ["TOKENIZERS_PARALLELISM"] = "false" @@ -65,10 +67,29 @@ async def openai_complete_if_cache( messages.extend(history_messages) messages.append({"role": "user", "content": prompt}) if hashing_kv is not None: - args_hash = compute_args_hash(model, messages) - if_cache_return = await hashing_kv.get_by_id(args_hash) - if if_cache_return is not None: - return if_cache_return["return"] + # Get embedding cache configuration + embedding_cache_config = hashing_kv.global_config.get( + "embedding_cache_config", {"enabled": False, "similarity_threshold": 0.95} + ) + is_embedding_cache_enabled = embedding_cache_config["enabled"] + if is_embedding_cache_enabled: + # Use embedding cache + embedding_model_func = hashing_kv.global_config["embedding_func"]["func"] + current_embedding = await embedding_model_func([prompt]) + quantized, min_val, max_val = quantize_embedding(current_embedding[0]) + best_cached_response = await get_best_cached_response( + hashing_kv, + current_embedding[0], + similarity_threshold=embedding_cache_config["similarity_threshold"], + ) + if best_cached_response is not None: + return best_cached_response + else: + # Use regular cache + args_hash = compute_args_hash(model, messages) + if_cache_return = await hashing_kv.get_by_id(args_hash) + if if_cache_return is not None: + return if_cache_return["return"] if "response_format" in kwargs: response = await openai_async_client.beta.chat.completions.parse( @@ -81,10 +102,24 @@ async def openai_complete_if_cache( content = response.choices[0].message.content if r"\u" in content: content = content.encode("utf-8").decode("unicode_escape") - # print(content) + if hashing_kv is not None: await hashing_kv.upsert( - {args_hash: {"return": response.choices[0].message.content, "model": model}} + { + args_hash: { + "return": content, + "model": model, + "embedding": quantized.tobytes().hex() + if is_embedding_cache_enabled + else None, + "embedding_shape": quantized.shape + if is_embedding_cache_enabled + else None, + "embedding_min": min_val if is_embedding_cache_enabled else None, + "embedding_max": max_val if is_embedding_cache_enabled else None, + "original_prompt": prompt, + } + } ) return content @@ -125,10 +160,28 @@ async def azure_openai_complete_if_cache( if prompt is not None: messages.append({"role": "user", "content": prompt}) if hashing_kv is not None: - args_hash = compute_args_hash(model, messages) - if_cache_return = await hashing_kv.get_by_id(args_hash) - if if_cache_return is not None: - return if_cache_return["return"] + # Get embedding cache configuration + embedding_cache_config = hashing_kv.global_config.get( + "embedding_cache_config", {"enabled": False, "similarity_threshold": 0.95} + ) + is_embedding_cache_enabled = embedding_cache_config["enabled"] + if is_embedding_cache_enabled: + # Use embedding cache + embedding_model_func = hashing_kv.global_config["embedding_func"]["func"] + current_embedding = await embedding_model_func([prompt]) + quantized, min_val, max_val = quantize_embedding(current_embedding[0]) + best_cached_response = await get_best_cached_response( + hashing_kv, + current_embedding[0], + similarity_threshold=embedding_cache_config["similarity_threshold"], + ) + if best_cached_response is not None: + return best_cached_response + else: + args_hash = compute_args_hash(model, messages) + if_cache_return = await hashing_kv.get_by_id(args_hash) + if if_cache_return is not None: + return if_cache_return["return"] response = await openai_async_client.chat.completions.create( model=model, messages=messages, **kwargs @@ -136,7 +189,21 @@ async def azure_openai_complete_if_cache( if hashing_kv is not None: await hashing_kv.upsert( - {args_hash: {"return": response.choices[0].message.content, "model": model}} + { + args_hash: { + "return": response.choices[0].message.content, + "model": model, + "embedding": quantized.tobytes().hex() + if is_embedding_cache_enabled + else None, + "embedding_shape": quantized.shape + if is_embedding_cache_enabled + else None, + "embedding_min": min_val if is_embedding_cache_enabled else None, + "embedding_max": max_val if is_embedding_cache_enabled else None, + "original_prompt": prompt, + } + } ) return response.choices[0].message.content @@ -204,10 +271,29 @@ async def bedrock_complete_if_cache( hashing_kv: BaseKVStorage = kwargs.pop("hashing_kv", None) if hashing_kv is not None: - args_hash = compute_args_hash(model, messages) - if_cache_return = await hashing_kv.get_by_id(args_hash) - if if_cache_return is not None: - return if_cache_return["return"] + # Get embedding cache configuration + embedding_cache_config = hashing_kv.global_config.get( + "embedding_cache_config", {"enabled": False, "similarity_threshold": 0.95} + ) + is_embedding_cache_enabled = embedding_cache_config["enabled"] + if is_embedding_cache_enabled: + # Use embedding cache + embedding_model_func = hashing_kv.global_config["embedding_func"]["func"] + current_embedding = await embedding_model_func([prompt]) + quantized, min_val, max_val = quantize_embedding(current_embedding[0]) + best_cached_response = await get_best_cached_response( + hashing_kv, + current_embedding[0], + similarity_threshold=embedding_cache_config["similarity_threshold"], + ) + if best_cached_response is not None: + return best_cached_response + else: + # Use regular cache + args_hash = compute_args_hash(model, messages) + if_cache_return = await hashing_kv.get_by_id(args_hash) + if if_cache_return is not None: + return if_cache_return["return"] # Call model via Converse API session = aioboto3.Session() @@ -223,6 +309,19 @@ async def bedrock_complete_if_cache( args_hash: { "return": response["output"]["message"]["content"][0]["text"], "model": model, + "embedding": quantized.tobytes().hex() + if is_embedding_cache_enabled + else None, + "embedding_shape": quantized.shape + if is_embedding_cache_enabled + else None, + "embedding_min": min_val + if is_embedding_cache_enabled + else None, + "embedding_max": max_val + if is_embedding_cache_enabled + else None, + "original_prompt": prompt, } } ) @@ -245,7 +344,11 @@ def initialize_hf_model(model_name): async def hf_model_if_cache( - model, prompt, system_prompt=None, history_messages=[], **kwargs + model, + prompt, + system_prompt=None, + history_messages=[], + **kwargs, ) -> str: model_name = model hf_model, hf_tokenizer = initialize_hf_model(model_name) @@ -257,10 +360,30 @@ async def hf_model_if_cache( messages.append({"role": "user", "content": prompt}) if hashing_kv is not None: - args_hash = compute_args_hash(model, messages) - if_cache_return = await hashing_kv.get_by_id(args_hash) - if if_cache_return is not None: - return if_cache_return["return"] + # Get embedding cache configuration + embedding_cache_config = hashing_kv.global_config.get( + "embedding_cache_config", {"enabled": False, "similarity_threshold": 0.95} + ) + is_embedding_cache_enabled = embedding_cache_config["enabled"] + if is_embedding_cache_enabled: + # Use embedding cache + embedding_model_func = hashing_kv.global_config["embedding_func"]["func"] + current_embedding = await embedding_model_func([prompt]) + quantized, min_val, max_val = quantize_embedding(current_embedding[0]) + best_cached_response = await get_best_cached_response( + hashing_kv, + current_embedding[0], + similarity_threshold=embedding_cache_config["similarity_threshold"], + ) + if best_cached_response is not None: + return best_cached_response + else: + # Use regular cache + args_hash = compute_args_hash(model, messages) + if_cache_return = await hashing_kv.get_by_id(args_hash) + if if_cache_return is not None: + return if_cache_return["return"] + input_prompt = "" try: input_prompt = hf_tokenizer.apply_chat_template( @@ -305,12 +428,32 @@ async def hf_model_if_cache( output[0][len(inputs["input_ids"][0]) :], skip_special_tokens=True ) if hashing_kv is not None: - await hashing_kv.upsert({args_hash: {"return": response_text, "model": model}}) + await hashing_kv.upsert( + { + args_hash: { + "return": response_text, + "model": model, + "embedding": quantized.tobytes().hex() + if is_embedding_cache_enabled + else None, + "embedding_shape": quantized.shape + if is_embedding_cache_enabled + else None, + "embedding_min": min_val if is_embedding_cache_enabled else None, + "embedding_max": max_val if is_embedding_cache_enabled else None, + "original_prompt": prompt, + } + } + ) return response_text async def ollama_model_if_cache( - model, prompt, system_prompt=None, history_messages=[], **kwargs + model, + prompt, + system_prompt=None, + history_messages=[], + **kwargs, ) -> str: kwargs.pop("max_tokens", None) # kwargs.pop("response_format", None) # allow json @@ -326,18 +469,52 @@ async def ollama_model_if_cache( messages.extend(history_messages) messages.append({"role": "user", "content": prompt}) if hashing_kv is not None: - args_hash = compute_args_hash(model, messages) - if_cache_return = await hashing_kv.get_by_id(args_hash) - if if_cache_return is not None: - return if_cache_return["return"] + # Get embedding cache configuration + embedding_cache_config = hashing_kv.global_config.get( + "embedding_cache_config", {"enabled": False, "similarity_threshold": 0.95} + ) + is_embedding_cache_enabled = embedding_cache_config["enabled"] + if is_embedding_cache_enabled: + # Use embedding cache + embedding_model_func = hashing_kv.global_config["embedding_func"]["func"] + current_embedding = await embedding_model_func([prompt]) + quantized, min_val, max_val = quantize_embedding(current_embedding[0]) + best_cached_response = await get_best_cached_response( + hashing_kv, + current_embedding[0], + similarity_threshold=embedding_cache_config["similarity_threshold"], + ) + if best_cached_response is not None: + return best_cached_response + else: + # Use regular cache + args_hash = compute_args_hash(model, messages) + if_cache_return = await hashing_kv.get_by_id(args_hash) + if if_cache_return is not None: + return if_cache_return["return"] response = await ollama_client.chat(model=model, messages=messages, **kwargs) result = response["message"]["content"] if hashing_kv is not None: - await hashing_kv.upsert({args_hash: {"return": result, "model": model}}) - + await hashing_kv.upsert( + { + args_hash: { + "return": result, + "model": model, + "embedding": quantized.tobytes().hex() + if is_embedding_cache_enabled + else None, + "embedding_shape": quantized.shape + if is_embedding_cache_enabled + else None, + "embedding_min": min_val if is_embedding_cache_enabled else None, + "embedding_max": max_val if is_embedding_cache_enabled else None, + "original_prompt": prompt, + } + } + ) return result @@ -444,10 +621,29 @@ async def lmdeploy_model_if_cache( messages.extend(history_messages) messages.append({"role": "user", "content": prompt}) if hashing_kv is not None: - args_hash = compute_args_hash(model, messages) - if_cache_return = await hashing_kv.get_by_id(args_hash) - if if_cache_return is not None: - return if_cache_return["return"] + # Get embedding cache configuration + embedding_cache_config = hashing_kv.global_config.get( + "embedding_cache_config", {"enabled": False, "similarity_threshold": 0.95} + ) + is_embedding_cache_enabled = embedding_cache_config["enabled"] + if is_embedding_cache_enabled: + # Use embedding cache + embedding_model_func = hashing_kv.global_config["embedding_func"]["func"] + current_embedding = await embedding_model_func([prompt]) + quantized, min_val, max_val = quantize_embedding(current_embedding[0]) + best_cached_response = await get_best_cached_response( + hashing_kv, + current_embedding[0], + similarity_threshold=embedding_cache_config["similarity_threshold"], + ) + if best_cached_response is not None: + return best_cached_response + else: + # Use regular cache + args_hash = compute_args_hash(model, messages) + if_cache_return = await hashing_kv.get_by_id(args_hash) + if if_cache_return is not None: + return if_cache_return["return"] gen_config = GenerationConfig( skip_special_tokens=skip_special_tokens, @@ -466,7 +662,23 @@ async def lmdeploy_model_if_cache( response += res.response if hashing_kv is not None: - await hashing_kv.upsert({args_hash: {"return": response, "model": model}}) + await hashing_kv.upsert( + { + args_hash: { + "return": response, + "model": model, + "embedding": quantized.tobytes().hex() + if is_embedding_cache_enabled + else None, + "embedding_shape": quantized.shape + if is_embedding_cache_enabled + else None, + "embedding_min": min_val if is_embedding_cache_enabled else None, + "embedding_max": max_val if is_embedding_cache_enabled else None, + "original_prompt": prompt, + } + } + ) return response diff --git a/lightrag/utils.py b/lightrag/utils.py index 8997b651..43a8b850 100644 --- a/lightrag/utils.py +++ b/lightrag/utils.py @@ -307,3 +307,72 @@ def process_combine_contexts(hl, ll): combined_sources_result = "\n".join(combined_sources_result) return combined_sources_result + + +async def get_best_cached_response( + hashing_kv, current_embedding, similarity_threshold=0.95 +): + """Get the cached response with highest similarity""" + try: + # Get all keys using list_keys() + all_keys = await hashing_kv.all_keys() + max_similarity = 0 + best_cached_response = None + + # Get cached data one by one + for key in all_keys: + cache_data = await hashing_kv.get_by_id(key) + if cache_data is None or "embedding" not in cache_data: + continue + + # Convert cached embedding list to ndarray + cached_quantized = np.frombuffer( + bytes.fromhex(cache_data["embedding"]), dtype=np.uint8 + ).reshape(cache_data["embedding_shape"]) + cached_embedding = dequantize_embedding( + cached_quantized, + cache_data["embedding_min"], + cache_data["embedding_max"], + ) + + similarity = cosine_similarity(current_embedding, cached_embedding) + if similarity > max_similarity: + max_similarity = similarity + best_cached_response = cache_data["return"] + + if max_similarity > similarity_threshold: + return best_cached_response + return None + + except Exception as e: + logger.warning(f"Error in get_best_cached_response: {e}") + return None + + +def cosine_similarity(v1, v2): + """Calculate cosine similarity between two vectors""" + dot_product = np.dot(v1, v2) + norm1 = np.linalg.norm(v1) + norm2 = np.linalg.norm(v2) + return dot_product / (norm1 * norm2) + + +def quantize_embedding(embedding: np.ndarray, bits=8) -> tuple: + """Quantize embedding to specified bits""" + # Calculate min/max values for reconstruction + min_val = embedding.min() + max_val = embedding.max() + + # Quantize to 0-255 range + scale = (2**bits - 1) / (max_val - min_val) + quantized = np.round((embedding - min_val) * scale).astype(np.uint8) + + return quantized, min_val, max_val + + +def dequantize_embedding( + quantized: np.ndarray, min_val: float, max_val: float, bits=8 +) -> np.ndarray: + """Restore quantized embedding""" + scale = (max_val - min_val) / (2**bits - 1) + return (quantized * scale + min_val).astype(np.float32) From 84e3b9e44b5a3e37c74f8556cb26dc2f94ef184e Mon Sep 17 00:00:00 2001 From: magicyuan876 <317617749@qq.com> Date: Fri, 6 Dec 2024 08:18:09 +0800 Subject: [PATCH 247/258] =?UTF-8?q?feat(lightrag):=20=E6=B7=BB=E5=8A=A0=20?= =?UTF-8?q?=E6=9F=A5=E8=AF=A2=E6=97=B6=E4=BD=BF=E7=94=A8embedding=E7=BC=93?= =?UTF-8?q?=E5=AD=98=E5=8A=9F=E8=83=BD=20-=20=E5=9C=A8=20LightRAG=20?= =?UTF-8?q?=E7=B1=BB=E4=B8=AD=E6=B7=BB=E5=8A=A0=20embedding=5Fcache=5Fconf?= =?UTF-8?q?ig=E9=85=8D=E7=BD=AE=E9=A1=B9=20-=20=E5=AE=9E=E7=8E=B0=E5=9F=BA?= =?UTF-8?q?=E4=BA=8E=20embedding=20=E7=9B=B8=E4=BC=BC=E5=BA=A6=E7=9A=84?= =?UTF-8?q?=E7=BC=93=E5=AD=98=E6=9F=A5=E8=AF=A2=E5=92=8C=E5=AD=98=E5=82=A8?= =?UTF-8?q?=20-=20=E6=B7=BB=E5=8A=A0=E9=87=8F=E5=8C=96=E5=92=8C=E5=8F=8D?= =?UTF-8?q?=E9=87=8F=E5=8C=96=E5=87=BD=E6=95=B0=EF=BC=8C=E7=94=A8=E4=BA=8E?= =?UTF-8?q?=E5=8E=8B=E7=BC=A9=20embedding=20=E6=95=B0=E6=8D=AE=20-=20?= =?UTF-8?q?=E6=96=B0=E5=A2=9E=E7=A4=BA=E4=BE=8B=E6=BC=94=E7=A4=BA=20embedd?= =?UTF-8?q?ing=20=E7=BC=93=E5=AD=98=E7=9A=84=E4=BD=BF=E7=94=A8?= MIME-Version: 1.0 Content-Type: text/plain; charset=UTF-8 Content-Transfer-Encoding: 8bit --- examples/lightrag_openai_compatible_demo_embedding_cache.py | 2 +- 1 file changed, 1 insertion(+), 1 deletion(-) diff --git a/examples/lightrag_openai_compatible_demo_embedding_cache.py b/examples/lightrag_openai_compatible_demo_embedding_cache.py index 4e2c1523..69106d05 100644 --- a/examples/lightrag_openai_compatible_demo_embedding_cache.py +++ b/examples/lightrag_openai_compatible_demo_embedding_cache.py @@ -62,7 +62,7 @@ async def main(): working_dir=WORKING_DIR, embedding_cache_config={ "enabled": True, - "similarity_threshold": 0.90, # 可以自定义阈值 + "similarity_threshold": 0.90, }, llm_model_func=llm_model_func, embedding_func=EmbeddingFunc( From 2ecdab2f183768ebaedba2336428162a30637f7e Mon Sep 17 00:00:00 2001 From: magicyuan876 <317617749@qq.com> Date: Fri, 6 Dec 2024 09:11:22 +0800 Subject: [PATCH 248/258] =?UTF-8?q?=E6=95=B4=E7=90=86=E4=BA=86=E4=B8=80?= =?UTF-8?q?=E4=B8=8B=E6=89=8B=E8=AF=AF=E7=9A=84=E6=B3=A8=E9=87=8A?= MIME-Version: 1.0 Content-Type: text/plain; charset=UTF-8 Content-Transfer-Encoding: 8bit --- lightrag/utils.py | 4 ++-- 1 file changed, 2 insertions(+), 2 deletions(-) diff --git a/lightrag/utils.py b/lightrag/utils.py index 43a8b850..d080ee03 100644 --- a/lightrag/utils.py +++ b/lightrag/utils.py @@ -312,9 +312,9 @@ def process_combine_contexts(hl, ll): async def get_best_cached_response( hashing_kv, current_embedding, similarity_threshold=0.95 ): - """Get the cached response with highest similarity""" + """Get the cached response with the highest similarity""" try: - # Get all keys using list_keys() + # Get all keys all_keys = await hashing_kv.all_keys() max_similarity = 0 best_cached_response = None From e82d13e182a4a29412f3c0c4bb5f49c50a9b5c9c Mon Sep 17 00:00:00 2001 From: partoneplay Date: Fri, 6 Dec 2024 08:48:55 +0800 Subject: [PATCH 249/258] Add support for Ollama streaming output and integrate Open-WebUI as the chat UI demo --- examples/lightrag_api_open_webui_demo.py | 140 +++++++++++++++++++++++ examples/lightrag_ollama_demo.py | 19 +++ lightrag/base.py | 1 + lightrag/llm.py | 63 ++++++---- lightrag/operate.py | 3 +- 5 files changed, 203 insertions(+), 23 deletions(-) create mode 100644 examples/lightrag_api_open_webui_demo.py diff --git a/examples/lightrag_api_open_webui_demo.py b/examples/lightrag_api_open_webui_demo.py new file mode 100644 index 00000000..17e1817e --- /dev/null +++ b/examples/lightrag_api_open_webui_demo.py @@ -0,0 +1,140 @@ +from datetime import datetime, timezone +from fastapi import FastAPI +from fastapi.responses import StreamingResponse +import inspect +import json +from pydantic import BaseModel +from typing import Optional + +import os +import logging +from lightrag import LightRAG, QueryParam +from lightrag.llm import ollama_model_complete, ollama_embed +from lightrag.utils import EmbeddingFunc + +import nest_asyncio + +WORKING_DIR = "./dickens" + +logging.basicConfig(format="%(levelname)s:%(message)s", level=logging.INFO) + +if not os.path.exists(WORKING_DIR): + os.mkdir(WORKING_DIR) + +rag = LightRAG( + working_dir=WORKING_DIR, + llm_model_func=ollama_model_complete, + llm_model_name="qwen2.5:latest", + llm_model_max_async=4, + llm_model_max_token_size=32768, + llm_model_kwargs={"host": "http://localhost:11434", "options": {"num_ctx": 32768}}, + embedding_func=EmbeddingFunc( + embedding_dim=1024, + max_token_size=8192, + func=lambda texts: ollama_embed( + texts=texts, embed_model="bge-m3:latest", host="http://127.0.0.1:11434" + ), + ), +) + +with open("./book.txt", "r", encoding="utf-8") as f: + rag.insert(f.read()) + +# Apply nest_asyncio to solve event loop issues +nest_asyncio.apply() + +app = FastAPI(title="LightRAG", description="LightRAG API open-webui") + + +# Data models +MODEL_NAME = "LightRAG:latest" + + +class Message(BaseModel): + role: Optional[str] = None + content: str + + +class OpenWebUIRequest(BaseModel): + stream: Optional[bool] = None + model: Optional[str] = None + messages: list[Message] + + +# API routes + + +@app.get("/") +async def index(): + return "Set Ollama link to http://ip:port/ollama in Open-WebUI Settings" + + +@app.get("/ollama/api/version") +async def ollama_version(): + return {"version": "0.4.7"} + + +@app.get("/ollama/api/tags") +async def ollama_tags(): + return { + "models": [ + { + "name": MODEL_NAME, + "model": MODEL_NAME, + "modified_at": "2024-11-12T20:22:37.561463923+08:00", + "size": 4683087332, + "digest": "845dbda0ea48ed749caafd9e6037047aa19acfcfd82e704d7ca97d631a0b697e", + "details": { + "parent_model": "", + "format": "gguf", + "family": "qwen2", + "families": ["qwen2"], + "parameter_size": "7.6B", + "quantization_level": "Q4_K_M", + }, + } + ] + } + + +@app.post("/ollama/api/chat") +async def ollama_chat(request: OpenWebUIRequest): + resp = rag.query( + request.messages[-1].content, param=QueryParam(mode="hybrid", stream=True) + ) + if inspect.isasyncgen(resp): + + async def ollama_resp(chunks): + async for chunk in chunks: + yield ( + json.dumps( + { + "model": MODEL_NAME, + "created_at": datetime.now(timezone.utc).strftime( + "%Y-%m-%dT%H:%M:%S.%fZ" + ), + "message": { + "role": "assistant", + "content": chunk, + }, + "done": False, + }, + ensure_ascii=False, + ).encode("utf-8") + + b"\n" + ) # the b"\n" is important + + return StreamingResponse(ollama_resp(resp), media_type="application/json") + else: + return resp + + +@app.get("/health") +async def health_check(): + return {"status": "healthy"} + + +if __name__ == "__main__": + import uvicorn + + uvicorn.run(app, host="0.0.0.0", port=8020) diff --git a/examples/lightrag_ollama_demo.py b/examples/lightrag_ollama_demo.py index 1a320d13..162900c4 100644 --- a/examples/lightrag_ollama_demo.py +++ b/examples/lightrag_ollama_demo.py @@ -1,4 +1,6 @@ +import asyncio import os +import inspect import logging from lightrag import LightRAG, QueryParam from lightrag.llm import ollama_model_complete, ollama_embedding @@ -49,3 +51,20 @@ print( rag.query("What are the top themes in this story?", param=QueryParam(mode="hybrid")) ) + +# stream response +resp = rag.query( + "What are the top themes in this story?", + param=QueryParam(mode="hybrid", stream=True), +) + + +async def print_stream(stream): + async for chunk in stream: + print(chunk, end="", flush=True) + + +if inspect.isasyncgen(resp): + asyncio.run(print_stream(resp)) +else: + print(resp) diff --git a/lightrag/base.py b/lightrag/base.py index ea84c000..f5a6e0c0 100644 --- a/lightrag/base.py +++ b/lightrag/base.py @@ -19,6 +19,7 @@ class QueryParam: only_need_context: bool = False only_need_prompt: bool = False response_type: str = "Multiple Paragraphs" + stream: bool = False # Number of top-k items to retrieve; corresponds to entities in "local" mode and relationships in "global" mode. top_k: int = 60 # Number of document chunks to retrieve. diff --git a/lightrag/llm.py b/lightrag/llm.py index 33fdd182..418a66d2 100644 --- a/lightrag/llm.py +++ b/lightrag/llm.py @@ -27,7 +27,7 @@ from transformers import AutoTokenizer, AutoModelForCausalLM import torch from pydantic import BaseModel, Field -from typing import List, Dict, Callable, Any +from typing import List, Dict, Callable, Any, Union from .base import BaseKVStorage from .utils import ( compute_args_hash, @@ -37,6 +37,13 @@ get_best_cached_response, ) +import sys + +if sys.version_info < (3, 9): + from typing import AsyncIterator +else: + from collections.abc import AsyncIterator + os.environ["TOKENIZERS_PARALLELISM"] = "false" @@ -454,7 +461,8 @@ async def ollama_model_if_cache( system_prompt=None, history_messages=[], **kwargs, -) -> str: +) -> Union[str, AsyncIterator[str]]: + stream = True if kwargs.get("stream") else False kwargs.pop("max_tokens", None) # kwargs.pop("response_format", None) # allow json host = kwargs.pop("host", None) @@ -494,28 +502,39 @@ async def ollama_model_if_cache( return if_cache_return["return"] response = await ollama_client.chat(model=model, messages=messages, **kwargs) + if stream: + """ cannot cache stream response """ - result = response["message"]["content"] + async def inner(): + async for chunk in response: + yield chunk["message"]["content"] - if hashing_kv is not None: - await hashing_kv.upsert( - { - args_hash: { - "return": result, - "model": model, - "embedding": quantized.tobytes().hex() - if is_embedding_cache_enabled - else None, - "embedding_shape": quantized.shape - if is_embedding_cache_enabled - else None, - "embedding_min": min_val if is_embedding_cache_enabled else None, - "embedding_max": max_val if is_embedding_cache_enabled else None, - "original_prompt": prompt, + return inner() + else: + result = response["message"]["content"] + if hashing_kv is not None: + await hashing_kv.upsert( + { + args_hash: { + "return": result, + "model": model, + "embedding": quantized.tobytes().hex() + if is_embedding_cache_enabled + else None, + "embedding_shape": quantized.shape + if is_embedding_cache_enabled + else None, + "embedding_min": min_val + if is_embedding_cache_enabled + else None, + "embedding_max": max_val + if is_embedding_cache_enabled + else None, + "original_prompt": prompt, + } } - } - ) - return result + ) + return result @lru_cache(maxsize=1) @@ -785,7 +804,7 @@ async def hf_model_complete( async def ollama_model_complete( prompt, system_prompt=None, history_messages=[], keyword_extraction=False, **kwargs -) -> str: +) -> Union[str, AsyncIterator[str]]: keyword_extraction = kwargs.pop("keyword_extraction", None) if keyword_extraction: kwargs["format"] = "json" diff --git a/lightrag/operate.py b/lightrag/operate.py index a846cfc5..fa6695bc 100644 --- a/lightrag/operate.py +++ b/lightrag/operate.py @@ -534,8 +534,9 @@ async def kg_query( response = await use_model_func( query, system_prompt=sys_prompt, + stream=query_param.stream, ) - if len(response) > len(sys_prompt): + if isinstance(response, str) and len(response) > len(sys_prompt): response = ( response.replace(sys_prompt, "") .replace("user", "") From 6540d11096f8b7c55cdfb4d5570434a830243740 Mon Sep 17 00:00:00 2001 From: magicyuan876 <317617749@qq.com> Date: Fri, 6 Dec 2024 10:21:53 +0800 Subject: [PATCH 250/258] =?UTF-8?q?=E4=BF=AE=E5=A4=8D=20args=5Fhash?= =?UTF-8?q?=E5=9C=A8=E4=BD=BF=E7=94=A8=E5=B8=B8=E8=A7=84=E7=BC=93=E5=AD=98?= =?UTF-8?q?=E6=97=B6=E5=80=99=E6=89=8D=E8=AE=A1=E7=AE=97=E5=AF=BC=E8=87=B4?= =?UTF-8?q?embedding=E7=BC=93=E5=AD=98=E6=97=B6=E6=B2=A1=E6=9C=89=E8=AE=A1?= =?UTF-8?q?=E7=AE=97=E7=9A=84bug?= MIME-Version: 1.0 Content-Type: text/plain; charset=UTF-8 Content-Transfer-Encoding: 8bit --- README.md | 6 +++++- lightrag/llm.py | 48 ++++++++++++++++++++++++++++++++++++++++++------ 2 files changed, 47 insertions(+), 7 deletions(-) diff --git a/README.md b/README.md index 00612859..a2cbb217 100644 --- a/README.md +++ b/README.md @@ -596,7 +596,11 @@ if __name__ == "__main__": | **enable\_llm\_cache** | `bool` | If `TRUE`, stores LLM results in cache; repeated prompts return cached responses | `TRUE` | | **addon\_params** | `dict` | Additional parameters, e.g., `{"example_number": 1, "language": "Simplified Chinese"}`: sets example limit and output language | `example_number: all examples, language: English` | | **convert\_response\_to\_json\_func** | `callable` | Not used | `convert_response_to_json` | -| **embedding\_cache\_config** | `dict` | Configuration for embedding cache. Includes `enabled` (bool) to toggle cache and `similarity_threshold` (float) for cache retrieval | `{"enabled": False, "similarity_threshold": 0.95}` | +| **embedding\_cache\_config** | `dict` | Configuration for question-answer caching. Contains two parameters: +- `enabled`: Boolean value to enable/disable caching functionality. When enabled, questions and answers will be cached. +- `similarity_threshold`: Float value (0-1), similarity threshold. When a new question's similarity with a cached question exceeds this threshold, the cached answer will be returned directly without calling the LLM. + +Default: `{"enabled": False, "similarity_threshold": 0.95}` | `{"enabled": False, "similarity_threshold": 0.95}` | ## API Server Implementation diff --git a/lightrag/llm.py b/lightrag/llm.py index 33fdd182..fdfb70a8 100644 --- a/lightrag/llm.py +++ b/lightrag/llm.py @@ -66,7 +66,11 @@ async def openai_complete_if_cache( messages.append({"role": "system", "content": system_prompt}) messages.extend(history_messages) messages.append({"role": "user", "content": prompt}) + if hashing_kv is not None: + # Calculate args_hash only when using cache + args_hash = compute_args_hash(model, messages) + # Get embedding cache configuration embedding_cache_config = hashing_kv.global_config.get( "embedding_cache_config", {"enabled": False, "similarity_threshold": 0.95} @@ -86,7 +90,6 @@ async def openai_complete_if_cache( return best_cached_response else: # Use regular cache - args_hash = compute_args_hash(model, messages) if_cache_return = await hashing_kv.get_by_id(args_hash) if if_cache_return is not None: return if_cache_return["return"] @@ -159,7 +162,12 @@ async def azure_openai_complete_if_cache( messages.extend(history_messages) if prompt is not None: messages.append({"role": "user", "content": prompt}) + + hashing_kv: BaseKVStorage = kwargs.pop("hashing_kv", None) if hashing_kv is not None: + # Calculate args_hash only when using cache + args_hash = compute_args_hash(model, messages) + # Get embedding cache configuration embedding_cache_config = hashing_kv.global_config.get( "embedding_cache_config", {"enabled": False, "similarity_threshold": 0.95} @@ -178,7 +186,7 @@ async def azure_openai_complete_if_cache( if best_cached_response is not None: return best_cached_response else: - args_hash = compute_args_hash(model, messages) + # Use regular cache if_cache_return = await hashing_kv.get_by_id(args_hash) if if_cache_return is not None: return if_cache_return["return"] @@ -271,6 +279,9 @@ async def bedrock_complete_if_cache( hashing_kv: BaseKVStorage = kwargs.pop("hashing_kv", None) if hashing_kv is not None: + # Calculate args_hash only when using cache + args_hash = compute_args_hash(model, messages) + # Get embedding cache configuration embedding_cache_config = hashing_kv.global_config.get( "embedding_cache_config", {"enabled": False, "similarity_threshold": 0.95} @@ -290,7 +301,6 @@ async def bedrock_complete_if_cache( return best_cached_response else: # Use regular cache - args_hash = compute_args_hash(model, messages) if_cache_return = await hashing_kv.get_by_id(args_hash) if if_cache_return is not None: return if_cache_return["return"] @@ -343,6 +353,11 @@ def initialize_hf_model(model_name): return hf_model, hf_tokenizer +@retry( + stop=stop_after_attempt(3), + wait=wait_exponential(multiplier=1, min=4, max=10), + retry=retry_if_exception_type((RateLimitError, APIConnectionError, Timeout)), +) async def hf_model_if_cache( model, prompt, @@ -359,7 +374,11 @@ async def hf_model_if_cache( messages.extend(history_messages) messages.append({"role": "user", "content": prompt}) + hashing_kv: BaseKVStorage = kwargs.pop("hashing_kv", None) if hashing_kv is not None: + # Calculate args_hash only when using cache + args_hash = compute_args_hash(model, messages) + # Get embedding cache configuration embedding_cache_config = hashing_kv.global_config.get( "embedding_cache_config", {"enabled": False, "similarity_threshold": 0.95} @@ -379,7 +398,6 @@ async def hf_model_if_cache( return best_cached_response else: # Use regular cache - args_hash = compute_args_hash(model, messages) if_cache_return = await hashing_kv.get_by_id(args_hash) if if_cache_return is not None: return if_cache_return["return"] @@ -448,6 +466,11 @@ async def hf_model_if_cache( return response_text +@retry( + stop=stop_after_attempt(3), + wait=wait_exponential(multiplier=1, min=4, max=10), + retry=retry_if_exception_type((RateLimitError, APIConnectionError, Timeout)), +) async def ollama_model_if_cache( model, prompt, @@ -468,7 +491,12 @@ async def ollama_model_if_cache( hashing_kv: BaseKVStorage = kwargs.pop("hashing_kv", None) messages.extend(history_messages) messages.append({"role": "user", "content": prompt}) + + hashing_kv: BaseKVStorage = kwargs.pop("hashing_kv", None) if hashing_kv is not None: + # Calculate args_hash only when using cache + args_hash = compute_args_hash(model, messages) + # Get embedding cache configuration embedding_cache_config = hashing_kv.global_config.get( "embedding_cache_config", {"enabled": False, "similarity_threshold": 0.95} @@ -488,7 +516,6 @@ async def ollama_model_if_cache( return best_cached_response else: # Use regular cache - args_hash = compute_args_hash(model, messages) if_cache_return = await hashing_kv.get_by_id(args_hash) if if_cache_return is not None: return if_cache_return["return"] @@ -542,6 +569,11 @@ def initialize_lmdeploy_pipeline( return lmdeploy_pipe +@retry( + stop=stop_after_attempt(3), + wait=wait_exponential(multiplier=1, min=4, max=10), + retry=retry_if_exception_type((RateLimitError, APIConnectionError, Timeout)), +) async def lmdeploy_model_if_cache( model, prompt, @@ -620,7 +652,12 @@ async def lmdeploy_model_if_cache( hashing_kv: BaseKVStorage = kwargs.pop("hashing_kv", None) messages.extend(history_messages) messages.append({"role": "user", "content": prompt}) + + hashing_kv: BaseKVStorage = kwargs.pop("hashing_kv", None) if hashing_kv is not None: + # Calculate args_hash only when using cache + args_hash = compute_args_hash(model, messages) + # Get embedding cache configuration embedding_cache_config = hashing_kv.global_config.get( "embedding_cache_config", {"enabled": False, "similarity_threshold": 0.95} @@ -640,7 +677,6 @@ async def lmdeploy_model_if_cache( return best_cached_response else: # Use regular cache - args_hash = compute_args_hash(model, messages) if_cache_return = await hashing_kv.get_by_id(args_hash) if if_cache_return is not None: return if_cache_return["return"] From 6c29a37f2063283d0748d2139ddccace23a0700b Mon Sep 17 00:00:00 2001 From: magicyuan876 <317617749@qq.com> Date: Fri, 6 Dec 2024 10:28:35 +0800 Subject: [PATCH 251/258] =?UTF-8?q?=E4=BF=AE=E5=A4=8D=20args=5Fhash?= =?UTF-8?q?=E5=9C=A8=E4=BD=BF=E7=94=A8=E5=B8=B8=E8=A7=84=E7=BC=93=E5=AD=98?= =?UTF-8?q?=E6=97=B6=E5=80=99=E6=89=8D=E8=AE=A1=E7=AE=97=E5=AF=BC=E8=87=B4?= =?UTF-8?q?embedding=E7=BC=93=E5=AD=98=E6=97=B6=E6=B2=A1=E6=9C=89=E8=AE=A1?= =?UTF-8?q?=E7=AE=97=E7=9A=84bug?= MIME-Version: 1.0 Content-Type: text/plain; charset=UTF-8 Content-Transfer-Encoding: 8bit --- lightrag/llm.py | 34 +++++++++++++++++----------------- 1 file changed, 17 insertions(+), 17 deletions(-) diff --git a/lightrag/llm.py b/lightrag/llm.py index fdfb70a8..97c903d2 100644 --- a/lightrag/llm.py +++ b/lightrag/llm.py @@ -1,12 +1,16 @@ -import os +import base64 import copy -from functools import lru_cache import json +import os +import struct +from functools import lru_cache +from typing import List, Dict, Callable, Any + import aioboto3 import aiohttp import numpy as np import ollama - +import torch from openai import ( AsyncOpenAI, APIConnectionError, @@ -14,10 +18,7 @@ Timeout, AsyncAzureOpenAI, ) - -import base64 -import struct - +from pydantic import BaseModel, Field from tenacity import ( retry, stop_after_attempt, @@ -25,9 +26,7 @@ retry_if_exception_type, ) from transformers import AutoTokenizer, AutoModelForCausalLM -import torch -from pydantic import BaseModel, Field -from typing import List, Dict, Callable, Any + from .base import BaseKVStorage from .utils import ( compute_args_hash, @@ -70,7 +69,7 @@ async def openai_complete_if_cache( if hashing_kv is not None: # Calculate args_hash only when using cache args_hash = compute_args_hash(model, messages) - + # Get embedding cache configuration embedding_cache_config = hashing_kv.global_config.get( "embedding_cache_config", {"enabled": False, "similarity_threshold": 0.95} @@ -167,7 +166,7 @@ async def azure_openai_complete_if_cache( if hashing_kv is not None: # Calculate args_hash only when using cache args_hash = compute_args_hash(model, messages) - + # Get embedding cache configuration embedding_cache_config = hashing_kv.global_config.get( "embedding_cache_config", {"enabled": False, "similarity_threshold": 0.95} @@ -281,7 +280,7 @@ async def bedrock_complete_if_cache( if hashing_kv is not None: # Calculate args_hash only when using cache args_hash = compute_args_hash(model, messages) - + # Get embedding cache configuration embedding_cache_config = hashing_kv.global_config.get( "embedding_cache_config", {"enabled": False, "similarity_threshold": 0.95} @@ -378,7 +377,7 @@ async def hf_model_if_cache( if hashing_kv is not None: # Calculate args_hash only when using cache args_hash = compute_args_hash(model, messages) - + # Get embedding cache configuration embedding_cache_config = hashing_kv.global_config.get( "embedding_cache_config", {"enabled": False, "similarity_threshold": 0.95} @@ -496,7 +495,7 @@ async def ollama_model_if_cache( if hashing_kv is not None: # Calculate args_hash only when using cache args_hash = compute_args_hash(model, messages) - + # Get embedding cache configuration embedding_cache_config = hashing_kv.global_config.get( "embedding_cache_config", {"enabled": False, "similarity_threshold": 0.95} @@ -657,7 +656,7 @@ async def lmdeploy_model_if_cache( if hashing_kv is not None: # Calculate args_hash only when using cache args_hash = compute_args_hash(model, messages) - + # Get embedding cache configuration embedding_cache_config = hashing_kv.global_config.get( "embedding_cache_config", {"enabled": False, "similarity_threshold": 0.95} @@ -867,7 +866,8 @@ async def openai_embedding( ) async def nvidia_openai_embedding( texts: list[str], - model: str = "nvidia/llama-3.2-nv-embedqa-1b-v1", # refer to https://build.nvidia.com/nim?filters=usecase%3Ausecase_text_to_embedding + model: str = "nvidia/llama-3.2-nv-embedqa-1b-v1", + # refer to https://build.nvidia.com/nim?filters=usecase%3Ausecase_text_to_embedding base_url: str = "https://integrate.api.nvidia.com/v1", api_key: str = None, input_type: str = "passage", # query for retrieval, passage for embedding From 5dfb74ef2d720feea853cd1adfaffbf4b767cc04 Mon Sep 17 00:00:00 2001 From: magicyuan876 <317617749@qq.com> Date: Fri, 6 Dec 2024 10:40:48 +0800 Subject: [PATCH 252/258] =?UTF-8?q?=E4=BF=AE=E5=A4=8D=20args=5Fhash?= =?UTF-8?q?=E5=9C=A8=E4=BD=BF=E7=94=A8=E5=B8=B8=E8=A7=84=E7=BC=93=E5=AD=98?= =?UTF-8?q?=E6=97=B6=E5=80=99=E6=89=8D=E8=AE=A1=E7=AE=97=E5=AF=BC=E8=87=B4?= =?UTF-8?q?embedding=E7=BC=93=E5=AD=98=E6=97=B6=E6=B2=A1=E6=9C=89=E8=AE=A1?= =?UTF-8?q?=E7=AE=97=E7=9A=84bug?= MIME-Version: 1.0 Content-Type: text/plain; charset=UTF-8 Content-Transfer-Encoding: 8bit --- lightrag/llm.py | 4 ---- 1 file changed, 4 deletions(-) diff --git a/lightrag/llm.py b/lightrag/llm.py index 97c903d2..fef8c9a3 100644 --- a/lightrag/llm.py +++ b/lightrag/llm.py @@ -162,7 +162,6 @@ async def azure_openai_complete_if_cache( if prompt is not None: messages.append({"role": "user", "content": prompt}) - hashing_kv: BaseKVStorage = kwargs.pop("hashing_kv", None) if hashing_kv is not None: # Calculate args_hash only when using cache args_hash = compute_args_hash(model, messages) @@ -373,7 +372,6 @@ async def hf_model_if_cache( messages.extend(history_messages) messages.append({"role": "user", "content": prompt}) - hashing_kv: BaseKVStorage = kwargs.pop("hashing_kv", None) if hashing_kv is not None: # Calculate args_hash only when using cache args_hash = compute_args_hash(model, messages) @@ -491,7 +489,6 @@ async def ollama_model_if_cache( messages.extend(history_messages) messages.append({"role": "user", "content": prompt}) - hashing_kv: BaseKVStorage = kwargs.pop("hashing_kv", None) if hashing_kv is not None: # Calculate args_hash only when using cache args_hash = compute_args_hash(model, messages) @@ -652,7 +649,6 @@ async def lmdeploy_model_if_cache( messages.extend(history_messages) messages.append({"role": "user", "content": prompt}) - hashing_kv: BaseKVStorage = kwargs.pop("hashing_kv", None) if hashing_kv is not None: # Calculate args_hash only when using cache args_hash = compute_args_hash(model, messages) From 979f30d20beb4299a363e096982f9ad250581a32 Mon Sep 17 00:00:00 2001 From: Suroy <77138019+zsuroy@users.noreply.github.com> Date: Fri, 6 Dec 2024 11:06:20 +0800 Subject: [PATCH 253/258] Update oracle_impl.py Fixed typing error in python3.9 --- lightrag/kg/oracle_impl.py | 2 +- 1 file changed, 1 insertion(+), 1 deletion(-) diff --git a/lightrag/kg/oracle_impl.py b/lightrag/kg/oracle_impl.py index 8ed73772..34745312 100644 --- a/lightrag/kg/oracle_impl.py +++ b/lightrag/kg/oracle_impl.py @@ -143,7 +143,7 @@ async def query( data = None return data - async def execute(self, sql: str, data: list | dict = None): + async def execute(self, sql: str, data: Union[list, dict] = None): # logger.info("go into OracleDB execute method") try: async with self.pool.acquire() as connection: From e619b09c8adb99c9636577dc3d8e559913d5c6e4 Mon Sep 17 00:00:00 2001 From: magicyuan876 <317617749@qq.com> Date: Fri, 6 Dec 2024 14:29:16 +0800 Subject: [PATCH 254/258] =?UTF-8?q?=E9=87=8D=E6=9E=84=E7=BC=93=E5=AD=98?= =?UTF-8?q?=E5=A4=84=E7=90=86=E9=80=BB=E8=BE=91?= MIME-Version: 1.0 Content-Type: text/plain; charset=UTF-8 Content-Transfer-Encoding: 8bit - 提取通用缓存处理逻辑到新函数 handle_cache 和 save_to_cache - 使用 CacheData 类统一缓存数据结构 - 优化嵌入式缓存和常规缓存的处理流程 - 添加模式参数以支持不同查询模式的缓存策略 - 重构 get_best_cached_response 函数，提高缓存查询效率 --- lightrag/llm.py | 496 ++++++++++++++++++++------------------------ lightrag/operate.py | 6 +- lightrag/utils.py | 84 ++++---- 3 files changed, 277 insertions(+), 309 deletions(-) diff --git a/lightrag/llm.py b/lightrag/llm.py index fef8c9a3..89d74a5b 100644 --- a/lightrag/llm.py +++ b/lightrag/llm.py @@ -4,7 +4,8 @@ import os import struct from functools import lru_cache -from typing import List, Dict, Callable, Any +from typing import List, Dict, Callable, Any, Optional +from dataclasses import dataclass import aioboto3 import aiohttp @@ -59,39 +60,21 @@ async def openai_complete_if_cache( openai_async_client = ( AsyncOpenAI() if base_url is None else AsyncOpenAI(base_url=base_url) ) - hashing_kv: BaseKVStorage = kwargs.pop("hashing_kv", None) + messages = [] if system_prompt: messages.append({"role": "system", "content": system_prompt}) messages.extend(history_messages) messages.append({"role": "user", "content": prompt}) - if hashing_kv is not None: - # Calculate args_hash only when using cache - args_hash = compute_args_hash(model, messages) - - # Get embedding cache configuration - embedding_cache_config = hashing_kv.global_config.get( - "embedding_cache_config", {"enabled": False, "similarity_threshold": 0.95} - ) - is_embedding_cache_enabled = embedding_cache_config["enabled"] - if is_embedding_cache_enabled: - # Use embedding cache - embedding_model_func = hashing_kv.global_config["embedding_func"]["func"] - current_embedding = await embedding_model_func([prompt]) - quantized, min_val, max_val = quantize_embedding(current_embedding[0]) - best_cached_response = await get_best_cached_response( - hashing_kv, - current_embedding[0], - similarity_threshold=embedding_cache_config["similarity_threshold"], - ) - if best_cached_response is not None: - return best_cached_response - else: - # Use regular cache - if_cache_return = await hashing_kv.get_by_id(args_hash) - if if_cache_return is not None: - return if_cache_return["return"] + # Handle cache + mode = kwargs.pop("mode", "default") + args_hash = compute_args_hash(model, messages) + cached_response, quantized, min_val, max_val = await handle_cache( + kwargs.get("hashing_kv"), args_hash, prompt, mode + ) + if cached_response is not None: + return cached_response if "response_format" in kwargs: response = await openai_async_client.beta.chat.completions.parse( @@ -105,24 +88,21 @@ async def openai_complete_if_cache( if r"\u" in content: content = content.encode("utf-8").decode("unicode_escape") - if hashing_kv is not None: - await hashing_kv.upsert( - { - args_hash: { - "return": content, - "model": model, - "embedding": quantized.tobytes().hex() - if is_embedding_cache_enabled - else None, - "embedding_shape": quantized.shape - if is_embedding_cache_enabled - else None, - "embedding_min": min_val if is_embedding_cache_enabled else None, - "embedding_max": max_val if is_embedding_cache_enabled else None, - "original_prompt": prompt, - } - } - ) + # Save to cache + await save_to_cache( + kwargs.get("hashing_kv"), + CacheData( + args_hash=args_hash, + content=content, + model=model, + prompt=prompt, + quantized=quantized, + min_val=min_val, + max_val=max_val, + mode=mode, + ), + ) + return content @@ -155,6 +135,8 @@ async def azure_openai_complete_if_cache( ) hashing_kv: BaseKVStorage = kwargs.pop("hashing_kv", None) + mode = kwargs.pop("mode", "default") + messages = [] if system_prompt: messages.append({"role": "system", "content": system_prompt}) @@ -162,56 +144,35 @@ async def azure_openai_complete_if_cache( if prompt is not None: messages.append({"role": "user", "content": prompt}) - if hashing_kv is not None: - # Calculate args_hash only when using cache - args_hash = compute_args_hash(model, messages) - - # Get embedding cache configuration - embedding_cache_config = hashing_kv.global_config.get( - "embedding_cache_config", {"enabled": False, "similarity_threshold": 0.95} - ) - is_embedding_cache_enabled = embedding_cache_config["enabled"] - if is_embedding_cache_enabled: - # Use embedding cache - embedding_model_func = hashing_kv.global_config["embedding_func"]["func"] - current_embedding = await embedding_model_func([prompt]) - quantized, min_val, max_val = quantize_embedding(current_embedding[0]) - best_cached_response = await get_best_cached_response( - hashing_kv, - current_embedding[0], - similarity_threshold=embedding_cache_config["similarity_threshold"], - ) - if best_cached_response is not None: - return best_cached_response - else: - # Use regular cache - if_cache_return = await hashing_kv.get_by_id(args_hash) - if if_cache_return is not None: - return if_cache_return["return"] + # Handle cache + args_hash = compute_args_hash(model, messages) + cached_response, quantized, min_val, max_val = await handle_cache( + hashing_kv, args_hash, prompt, mode + ) + if cached_response is not None: + return cached_response response = await openai_async_client.chat.completions.create( model=model, messages=messages, **kwargs ) + content = response.choices[0].message.content + + # Save to cache + await save_to_cache( + hashing_kv, + CacheData( + args_hash=args_hash, + content=content, + model=model, + prompt=prompt, + quantized=quantized, + min_val=min_val, + max_val=max_val, + mode=mode, + ), + ) - if hashing_kv is not None: - await hashing_kv.upsert( - { - args_hash: { - "return": response.choices[0].message.content, - "model": model, - "embedding": quantized.tobytes().hex() - if is_embedding_cache_enabled - else None, - "embedding_shape": quantized.shape - if is_embedding_cache_enabled - else None, - "embedding_min": min_val if is_embedding_cache_enabled else None, - "embedding_max": max_val if is_embedding_cache_enabled else None, - "original_prompt": prompt, - } - } - ) - return response.choices[0].message.content + return content class BedrockError(Exception): @@ -253,6 +214,15 @@ async def bedrock_complete_if_cache( # Add user prompt messages.append({"role": "user", "content": [{"text": prompt}]}) + # Handle cache + mode = kwargs.pop("mode", "default") + args_hash = compute_args_hash(model, messages) + cached_response, quantized, min_val, max_val = await handle_cache( + kwargs.get("hashing_kv"), args_hash, prompt, mode + ) + if cached_response is not None: + return cached_response + # Initialize Converse API arguments args = {"modelId": model, "messages": messages} @@ -275,33 +245,14 @@ async def bedrock_complete_if_cache( kwargs.pop(param) ) - hashing_kv: BaseKVStorage = kwargs.pop("hashing_kv", None) - if hashing_kv is not None: - # Calculate args_hash only when using cache - args_hash = compute_args_hash(model, messages) - - # Get embedding cache configuration - embedding_cache_config = hashing_kv.global_config.get( - "embedding_cache_config", {"enabled": False, "similarity_threshold": 0.95} - ) - is_embedding_cache_enabled = embedding_cache_config["enabled"] - if is_embedding_cache_enabled: - # Use embedding cache - embedding_model_func = hashing_kv.global_config["embedding_func"]["func"] - current_embedding = await embedding_model_func([prompt]) - quantized, min_val, max_val = quantize_embedding(current_embedding[0]) - best_cached_response = await get_best_cached_response( - hashing_kv, - current_embedding[0], - similarity_threshold=embedding_cache_config["similarity_threshold"], - ) - if best_cached_response is not None: - return best_cached_response - else: - # Use regular cache - if_cache_return = await hashing_kv.get_by_id(args_hash) - if if_cache_return is not None: - return if_cache_return["return"] + # Handle cache + mode = kwargs.pop("mode", "default") + args_hash = compute_args_hash(model, messages) + cached_response, quantized, min_val, max_val = await handle_cache( + kwargs.get("hashing_kv"), args_hash, prompt, mode + ) + if cached_response is not None: + return cached_response # Call model via Converse API session = aioboto3.Session() @@ -311,30 +262,22 @@ async def bedrock_complete_if_cache( except Exception as e: raise BedrockError(e) - if hashing_kv is not None: - await hashing_kv.upsert( - { - args_hash: { - "return": response["output"]["message"]["content"][0]["text"], - "model": model, - "embedding": quantized.tobytes().hex() - if is_embedding_cache_enabled - else None, - "embedding_shape": quantized.shape - if is_embedding_cache_enabled - else None, - "embedding_min": min_val - if is_embedding_cache_enabled - else None, - "embedding_max": max_val - if is_embedding_cache_enabled - else None, - "original_prompt": prompt, - } - } - ) + # Save to cache + await save_to_cache( + kwargs.get("hashing_kv"), + CacheData( + args_hash=args_hash, + content=response["output"]["message"]["content"][0]["text"], + model=model, + prompt=prompt, + quantized=quantized, + min_val=min_val, + max_val=max_val, + mode=mode, + ), + ) - return response["output"]["message"]["content"][0]["text"] + return response["output"]["message"]["content"][0]["text"] @lru_cache(maxsize=1) @@ -372,32 +315,14 @@ async def hf_model_if_cache( messages.extend(history_messages) messages.append({"role": "user", "content": prompt}) - if hashing_kv is not None: - # Calculate args_hash only when using cache - args_hash = compute_args_hash(model, messages) - - # Get embedding cache configuration - embedding_cache_config = hashing_kv.global_config.get( - "embedding_cache_config", {"enabled": False, "similarity_threshold": 0.95} - ) - is_embedding_cache_enabled = embedding_cache_config["enabled"] - if is_embedding_cache_enabled: - # Use embedding cache - embedding_model_func = hashing_kv.global_config["embedding_func"]["func"] - current_embedding = await embedding_model_func([prompt]) - quantized, min_val, max_val = quantize_embedding(current_embedding[0]) - best_cached_response = await get_best_cached_response( - hashing_kv, - current_embedding[0], - similarity_threshold=embedding_cache_config["similarity_threshold"], - ) - if best_cached_response is not None: - return best_cached_response - else: - # Use regular cache - if_cache_return = await hashing_kv.get_by_id(args_hash) - if if_cache_return is not None: - return if_cache_return["return"] + # Handle cache + mode = kwargs.pop("mode", "default") + args_hash = compute_args_hash(model, messages) + cached_response, quantized, min_val, max_val = await handle_cache( + hashing_kv, args_hash, prompt, mode + ) + if cached_response is not None: + return cached_response input_prompt = "" try: @@ -442,24 +367,22 @@ async def hf_model_if_cache( response_text = hf_tokenizer.decode( output[0][len(inputs["input_ids"][0]) :], skip_special_tokens=True ) - if hashing_kv is not None: - await hashing_kv.upsert( - { - args_hash: { - "return": response_text, - "model": model, - "embedding": quantized.tobytes().hex() - if is_embedding_cache_enabled - else None, - "embedding_shape": quantized.shape - if is_embedding_cache_enabled - else None, - "embedding_min": min_val if is_embedding_cache_enabled else None, - "embedding_max": max_val if is_embedding_cache_enabled else None, - "original_prompt": prompt, - } - } - ) + + # Save to cache + await save_to_cache( + hashing_kv, + CacheData( + args_hash=args_hash, + content=response_text, + model=model, + prompt=prompt, + quantized=quantized, + min_val=min_val, + max_val=max_val, + mode=mode, + ), + ) + return response_text @@ -489,55 +412,34 @@ async def ollama_model_if_cache( messages.extend(history_messages) messages.append({"role": "user", "content": prompt}) - if hashing_kv is not None: - # Calculate args_hash only when using cache - args_hash = compute_args_hash(model, messages) - - # Get embedding cache configuration - embedding_cache_config = hashing_kv.global_config.get( - "embedding_cache_config", {"enabled": False, "similarity_threshold": 0.95} - ) - is_embedding_cache_enabled = embedding_cache_config["enabled"] - if is_embedding_cache_enabled: - # Use embedding cache - embedding_model_func = hashing_kv.global_config["embedding_func"]["func"] - current_embedding = await embedding_model_func([prompt]) - quantized, min_val, max_val = quantize_embedding(current_embedding[0]) - best_cached_response = await get_best_cached_response( - hashing_kv, - current_embedding[0], - similarity_threshold=embedding_cache_config["similarity_threshold"], - ) - if best_cached_response is not None: - return best_cached_response - else: - # Use regular cache - if_cache_return = await hashing_kv.get_by_id(args_hash) - if if_cache_return is not None: - return if_cache_return["return"] + # Handle cache + mode = kwargs.pop("mode", "default") + args_hash = compute_args_hash(model, messages) + cached_response, quantized, min_val, max_val = await handle_cache( + hashing_kv, args_hash, prompt, mode + ) + if cached_response is not None: + return cached_response response = await ollama_client.chat(model=model, messages=messages, **kwargs) result = response["message"]["content"] - if hashing_kv is not None: - await hashing_kv.upsert( - { - args_hash: { - "return": result, - "model": model, - "embedding": quantized.tobytes().hex() - if is_embedding_cache_enabled - else None, - "embedding_shape": quantized.shape - if is_embedding_cache_enabled - else None, - "embedding_min": min_val if is_embedding_cache_enabled else None, - "embedding_max": max_val if is_embedding_cache_enabled else None, - "original_prompt": prompt, - } - } - ) + # Save to cache + await save_to_cache( + hashing_kv, + CacheData( + args_hash=args_hash, + content=result, + model=model, + prompt=prompt, + quantized=quantized, + min_val=min_val, + max_val=max_val, + mode=mode, + ), + ) + return result @@ -649,32 +551,14 @@ async def lmdeploy_model_if_cache( messages.extend(history_messages) messages.append({"role": "user", "content": prompt}) - if hashing_kv is not None: - # Calculate args_hash only when using cache - args_hash = compute_args_hash(model, messages) - - # Get embedding cache configuration - embedding_cache_config = hashing_kv.global_config.get( - "embedding_cache_config", {"enabled": False, "similarity_threshold": 0.95} - ) - is_embedding_cache_enabled = embedding_cache_config["enabled"] - if is_embedding_cache_enabled: - # Use embedding cache - embedding_model_func = hashing_kv.global_config["embedding_func"]["func"] - current_embedding = await embedding_model_func([prompt]) - quantized, min_val, max_val = quantize_embedding(current_embedding[0]) - best_cached_response = await get_best_cached_response( - hashing_kv, - current_embedding[0], - similarity_threshold=embedding_cache_config["similarity_threshold"], - ) - if best_cached_response is not None: - return best_cached_response - else: - # Use regular cache - if_cache_return = await hashing_kv.get_by_id(args_hash) - if if_cache_return is not None: - return if_cache_return["return"] + # Handle cache + mode = kwargs.pop("mode", "default") + args_hash = compute_args_hash(model, messages) + cached_response, quantized, min_val, max_val = await handle_cache( + hashing_kv, args_hash, prompt, mode + ) + if cached_response is not None: + return cached_response gen_config = GenerationConfig( skip_special_tokens=skip_special_tokens, @@ -692,24 +576,21 @@ async def lmdeploy_model_if_cache( ): response += res.response - if hashing_kv is not None: - await hashing_kv.upsert( - { - args_hash: { - "return": response, - "model": model, - "embedding": quantized.tobytes().hex() - if is_embedding_cache_enabled - else None, - "embedding_shape": quantized.shape - if is_embedding_cache_enabled - else None, - "embedding_min": min_val if is_embedding_cache_enabled else None, - "embedding_max": max_val if is_embedding_cache_enabled else None, - "original_prompt": prompt, - } - } - ) + # Save to cache + await save_to_cache( + hashing_kv, + CacheData( + args_hash=args_hash, + content=response, + model=model, + prompt=prompt, + quantized=quantized, + min_val=min_val, + max_val=max_val, + mode=mode, + ), + ) + return response @@ -1139,6 +1020,75 @@ async def llm_model_func( return await next_model.gen_func(**args) +async def handle_cache(hashing_kv, args_hash, prompt, mode="default"): + """Generic cache handling function""" + if hashing_kv is None: + return None, None, None, None + + # Get embedding cache configuration + embedding_cache_config = hashing_kv.global_config.get( + "embedding_cache_config", {"enabled": False, "similarity_threshold": 0.95} + ) + is_embedding_cache_enabled = embedding_cache_config["enabled"] + + quantized = min_val = max_val = None + if is_embedding_cache_enabled: + # Use embedding cache + embedding_model_func = hashing_kv.global_config["embedding_func"]["func"] + current_embedding = await embedding_model_func([prompt]) + quantized, min_val, max_val = quantize_embedding(current_embedding[0]) + best_cached_response = await get_best_cached_response( + hashing_kv, + current_embedding[0], + similarity_threshold=embedding_cache_config["similarity_threshold"], + mode=mode, + ) + if best_cached_response is not None: + return best_cached_response, None, None, None + else: + # Use regular cache + mode_cache = await hashing_kv.get_by_id(mode) or {} + if args_hash in mode_cache: + return mode_cache[args_hash]["return"], None, None, None + + return None, quantized, min_val, max_val + + +@dataclass +class CacheData: + args_hash: str + content: str + model: str + prompt: str + quantized: Optional[np.ndarray] = None + min_val: Optional[float] = None + max_val: Optional[float] = None + mode: str = "default" + + +async def save_to_cache(hashing_kv, cache_data: CacheData): + if hashing_kv is None: + return + + mode_cache = await hashing_kv.get_by_id(cache_data.mode) or {} + + mode_cache[cache_data.args_hash] = { + "return": cache_data.content, + "model": cache_data.model, + "embedding": cache_data.quantized.tobytes().hex() + if cache_data.quantized is not None + else None, + "embedding_shape": cache_data.quantized.shape + if cache_data.quantized is not None + else None, + "embedding_min": cache_data.min_val, + "embedding_max": cache_data.max_val, + "original_prompt": cache_data.prompt, + } + + await hashing_kv.upsert({cache_data.mode: mode_cache}) + + if __name__ == "__main__": import asyncio diff --git a/lightrag/operate.py b/lightrag/operate.py index a846cfc5..5b911d34 100644 --- a/lightrag/operate.py +++ b/lightrag/operate.py @@ -474,7 +474,9 @@ async def kg_query( use_model_func = global_config["llm_model_func"] kw_prompt_temp = PROMPTS["keywords_extraction"] kw_prompt = kw_prompt_temp.format(query=query, examples=examples, language=language) - result = await use_model_func(kw_prompt, keyword_extraction=True) + result = await use_model_func( + kw_prompt, keyword_extraction=True, mode=query_param.mode + ) logger.info("kw_prompt result:") print(result) try: @@ -534,6 +536,7 @@ async def kg_query( response = await use_model_func( query, system_prompt=sys_prompt, + mode=query_param.mode, ) if len(response) > len(sys_prompt): response = ( @@ -1035,6 +1038,7 @@ async def naive_query( response = await use_model_func( query, system_prompt=sys_prompt, + mode=query_param.mode, ) if len(response) > len(sys_prompt): diff --git a/lightrag/utils.py b/lightrag/utils.py index d080ee03..70ec4341 100644 --- a/lightrag/utils.py +++ b/lightrag/utils.py @@ -310,43 +310,57 @@ def process_combine_contexts(hl, ll): async def get_best_cached_response( - hashing_kv, current_embedding, similarity_threshold=0.95 -): - """Get the cached response with the highest similarity""" - try: - # Get all keys - all_keys = await hashing_kv.all_keys() - max_similarity = 0 - best_cached_response = None - - # Get cached data one by one - for key in all_keys: - cache_data = await hashing_kv.get_by_id(key) - if cache_data is None or "embedding" not in cache_data: - continue - - # Convert cached embedding list to ndarray - cached_quantized = np.frombuffer( - bytes.fromhex(cache_data["embedding"]), dtype=np.uint8 - ).reshape(cache_data["embedding_shape"]) - cached_embedding = dequantize_embedding( - cached_quantized, - cache_data["embedding_min"], - cache_data["embedding_max"], - ) - - similarity = cosine_similarity(current_embedding, cached_embedding) - if similarity > max_similarity: - max_similarity = similarity - best_cached_response = cache_data["return"] - - if max_similarity > similarity_threshold: - return best_cached_response + hashing_kv, + current_embedding, + similarity_threshold=0.95, + mode="default", +) -> Union[str, None]: + # Get mode-specific cache + mode_cache = await hashing_kv.get_by_id(mode) + if not mode_cache: return None - except Exception as e: - logger.warning(f"Error in get_best_cached_response: {e}") - return None + best_similarity = -1 + best_response = None + best_prompt = None + best_cache_id = None + + # Only iterate through cache entries for this mode + for cache_id, cache_data in mode_cache.items(): + if cache_data["embedding"] is None: + continue + + # Convert cached embedding list to ndarray + cached_quantized = np.frombuffer( + bytes.fromhex(cache_data["embedding"]), dtype=np.uint8 + ).reshape(cache_data["embedding_shape"]) + cached_embedding = dequantize_embedding( + cached_quantized, + cache_data["embedding_min"], + cache_data["embedding_max"], + ) + + similarity = cosine_similarity(current_embedding, cached_embedding) + if similarity > best_similarity: + best_similarity = similarity + best_response = cache_data["return"] + best_prompt = cache_data["original_prompt"] + best_cache_id = cache_id + + if best_similarity > similarity_threshold: + prompt_display = ( + best_prompt[:50] + "..." if len(best_prompt) > 50 else best_prompt + ) + log_data = { + "event": "cache_hit", + "mode": mode, + "similarity": round(best_similarity, 4), + "cache_id": best_cache_id, + "original_prompt": prompt_display, + } + logger.info(json.dumps(log_data)) + return best_response + return None def cosine_similarity(v1, v2): From 786aa92b48915f77f03e8872590d4f4ba97b7427 Mon Sep 17 00:00:00 2001 From: magicyuan876 <317617749@qq.com> Date: Fri, 6 Dec 2024 14:32:41 +0800 Subject: [PATCH 255/258] =?UTF-8?q?fix(utils):=20=E4=BF=AE=E5=A4=8D=20JSON?= =?UTF-8?q?=20=E6=97=A5=E5=BF=97=E7=BC=96=E7=A0=81=E9=97=AE=E9=A2=98?= MIME-Version: 1.0 Content-Type: text/plain; charset=UTF-8 Content-Transfer-Encoding: 8bit - 在 json.dumps 中添加 ensure_ascii=False 参数，以支持非 ASCII 字符编码 -这个修改确保了包含中文等非 ASCII 字符的日志信息能够正确处理和显示 --- lightrag/utils.py | 2 +- 1 file changed, 1 insertion(+), 1 deletion(-) diff --git a/lightrag/utils.py b/lightrag/utils.py index 70ec4341..4c8d7996 100644 --- a/lightrag/utils.py +++ b/lightrag/utils.py @@ -358,7 +358,7 @@ async def get_best_cached_response( "cache_id": best_cache_id, "original_prompt": prompt_display, } - logger.info(json.dumps(log_data)) + logger.info(json.dumps(log_data, ensure_ascii=False)) return best_response return None From 8d9fc01b4c7ccf233fcdce6a79ba114d8e93e3fa Mon Sep 17 00:00:00 2001 From: magicyuan876 <317617749@qq.com> Date: Fri, 6 Dec 2024 15:09:50 +0800 Subject: [PATCH 256/258] =?UTF-8?q?=E8=A7=A3=E5=86=B3=E5=86=B2=E7=AA=81?= MIME-Version: 1.0 Content-Type: text/plain; charset=UTF-8 Content-Transfer-Encoding: 8bit --- lightrag/llm.py | 4 ++-- 1 file changed, 2 insertions(+), 2 deletions(-) diff --git a/lightrag/llm.py b/lightrag/llm.py index dda65630..d147e416 100644 --- a/lightrag/llm.py +++ b/lightrag/llm.py @@ -4,8 +4,8 @@ import os import struct from functools import lru_cache -from typing import List, Dict, Callable, Any, Union - +from typing import List, Dict, Callable, Any, Union, Optional +from dataclasses import dataclass import aioboto3 import aiohttp import numpy as np From efdd4b8b8e32fc26496b828981a306a0ee1efea5 Mon Sep 17 00:00:00 2001 From: magicyuan876 <317617749@qq.com> Date: Fri, 6 Dec 2024 15:23:18 +0800 Subject: [PATCH 257/258] =?UTF-8?q?=E7=A7=BB=E9=99=A4kwargs=E4=B8=AD?= =?UTF-8?q?=E7=9A=84hashing=5Fkv=E5=8F=82=E6=95=B0=E5=8F=96=E4=B8=BA?= =?UTF-8?q?=E5=8F=98=E9=87=8F?= MIME-Version: 1.0 Content-Type: text/plain; charset=UTF-8 Content-Transfer-Encoding: 8bit --- lightrag/llm.py | 11 ++++++----- 1 file changed, 6 insertions(+), 5 deletions(-) diff --git a/lightrag/llm.py b/lightrag/llm.py index d147e416..09e9fd74 100644 --- a/lightrag/llm.py +++ b/lightrag/llm.py @@ -73,11 +73,12 @@ async def openai_complete_if_cache( messages.extend(history_messages) messages.append({"role": "user", "content": prompt}) + hashing_kv: BaseKVStorage = kwargs.pop("hashing_kv", None) # Handle cache mode = kwargs.pop("mode", "default") args_hash = compute_args_hash(model, messages) cached_response, quantized, min_val, max_val = await handle_cache( - kwargs.get("hashing_kv"), args_hash, prompt, mode + hashing_kv, args_hash, prompt, mode ) if cached_response is not None: return cached_response @@ -219,12 +220,12 @@ async def bedrock_complete_if_cache( # Add user prompt messages.append({"role": "user", "content": [{"text": prompt}]}) - + hashing_kv: BaseKVStorage = kwargs.pop("hashing_kv", None) # Handle cache mode = kwargs.pop("mode", "default") args_hash = compute_args_hash(model, messages) cached_response, quantized, min_val, max_val = await handle_cache( - kwargs.get("hashing_kv"), args_hash, prompt, mode + hashing_kv, args_hash, prompt, mode ) if cached_response is not None: return cached_response @@ -250,12 +251,12 @@ async def bedrock_complete_if_cache( args["inferenceConfig"][inference_params_map.get(param, param)] = ( kwargs.pop(param) ) - + hashing_kv: BaseKVStorage = kwargs.pop("hashing_kv", None) # Handle cache mode = kwargs.pop("mode", "default") args_hash = compute_args_hash(model, messages) cached_response, quantized, min_val, max_val = await handle_cache( - kwargs.get("hashing_kv"), args_hash, prompt, mode + hashing_kv, args_hash, prompt, mode ) if cached_response is not None: return cached_response From 4da7dd186526b3215a5c3430b66824a95f996c1e Mon Sep 17 00:00:00 2001 From: magicyuan876 <317617749@qq.com> Date: Fri, 6 Dec 2024 15:35:09 +0800 Subject: [PATCH 258/258] =?UTF-8?q?=E7=A7=BB=E9=99=A4kwargs=E4=B8=AD?= =?UTF-8?q?=E7=9A=84hashing=5Fkv=E5=8F=82=E6=95=B0=E5=8F=96=E4=B8=BA?= =?UTF-8?q?=E5=8F=98=E9=87=8F?= MIME-Version: 1.0 Content-Type: text/plain; charset=UTF-8 Content-Transfer-Encoding: 8bit --- lightrag/llm.py | 4 ++-- 1 file changed, 2 insertions(+), 2 deletions(-) diff --git a/lightrag/llm.py b/lightrag/llm.py index 09e9fd74..63913c90 100644 --- a/lightrag/llm.py +++ b/lightrag/llm.py @@ -97,7 +97,7 @@ async def openai_complete_if_cache( # Save to cache await save_to_cache( - kwargs.get("hashing_kv"), + hashing_kv, CacheData( args_hash=args_hash, content=content, @@ -271,7 +271,7 @@ async def bedrock_complete_if_cache( # Save to cache await save_to_cache( - kwargs.get("hashing_kv"), + hashing_kv, CacheData( args_hash=args_hash, content=response["output"]["message"]["content"][0]["text"],